From d595a91b18109f76d05ccd4b80709156942473ad Mon Sep 17 00:00:00 2001 From: Morten Hjorth-Jensen Date: Mon, 28 Aug 2023 10:43:56 +0200 Subject: [PATCH] update --- .../_build/.doctrees/environment.pickle | Bin 246463 -> 246360 bytes .../_build/.doctrees/week35.doctree | Bin 433679 -> 914050 bytes .../_build/html/_images/week35_146_0.png | Bin 0 -> 23864 bytes .../_build/html/_images/week35_181_1.png | Bin 0 -> 27987 bytes .../_build/html/_images/week35_199_1.png | Bin 0 -> 41392 bytes .../_build/html/_images/week35_201_1.png | Bin 0 -> 169310 bytes .../_build/html/_images/week35_203_0.png | Bin 0 -> 59683 bytes .../_build/html/_images/week35_210_0.png | Bin 0 -> 19873 bytes .../_build/html/_sources/week35.ipynb | 867 ++++---- doc/LectureNotes/_build/html/searchindex.js | 2 +- doc/LectureNotes/_build/html/week35.html | 666 ++++++- .../_build/jupyter_execute/week35.ipynb | 1771 ++++++++++++----- .../_build/jupyter_execute/week35.py | 13 +- .../_build/jupyter_execute/week35_146_0.png | Bin 0 -> 23864 bytes .../_build/jupyter_execute/week35_181_1.png | Bin 0 -> 27987 bytes .../_build/jupyter_execute/week35_199_1.png | Bin 0 -> 41392 bytes .../_build/jupyter_execute/week35_201_1.png | Bin 0 -> 169310 bytes .../_build/jupyter_execute/week35_203_0.png | Bin 0 -> 59683 bytes .../_build/jupyter_execute/week35_210_0.png | Bin 0 -> 19873 bytes doc/LectureNotes/week35.ipynb | 867 ++++---- doc/pub/week35/html/._week35-bs018.html | 2 +- doc/pub/week35/html/._week35-bs019.html | 6 +- doc/pub/week35/html/._week35-bs034.html | 6 +- doc/pub/week35/html/week35-reveal.html | 14 +- doc/pub/week35/html/week35-solarized.html | 14 +- doc/pub/week35/html/week35.html | 14 +- doc/pub/week35/ipynb/ipynb-week35-src.tar.gz | Bin 192 -> 191 bytes doc/pub/week35/ipynb/week35.ipynb | 867 ++++---- doc/src/week35/week35.do.txt | 14 +- 29 files changed, 3297 insertions(+), 1826 deletions(-) create mode 100644 doc/LectureNotes/_build/html/_images/week35_146_0.png create mode 100644 doc/LectureNotes/_build/html/_images/week35_181_1.png create mode 100644 doc/LectureNotes/_build/html/_images/week35_199_1.png create mode 100644 doc/LectureNotes/_build/html/_images/week35_201_1.png create mode 100644 doc/LectureNotes/_build/html/_images/week35_203_0.png create mode 100644 doc/LectureNotes/_build/html/_images/week35_210_0.png create mode 100644 doc/LectureNotes/_build/jupyter_execute/week35_146_0.png create mode 100644 doc/LectureNotes/_build/jupyter_execute/week35_181_1.png create mode 100644 doc/LectureNotes/_build/jupyter_execute/week35_199_1.png create mode 100644 doc/LectureNotes/_build/jupyter_execute/week35_201_1.png create mode 100644 doc/LectureNotes/_build/jupyter_execute/week35_203_0.png create mode 100644 doc/LectureNotes/_build/jupyter_execute/week35_210_0.png diff --git a/doc/LectureNotes/_build/.doctrees/environment.pickle b/doc/LectureNotes/_build/.doctrees/environment.pickle index f1a7a1fa984c1a2970f4a627ee7ac2d980cd32f4..c39586028182539b471d2743470233699efead4e 100644 GIT binary patch delta 1206 zcmZ8ge{4)y6n5Wd&_$|7&FECMe#Dky`-A!sF`e!%vqCha(M1^3x9w;oa0)rr5p`+es-=bm%! zdp|YB-`yGCcEOb#uZGls*B4ZSn^m+V=)>N+g+8Re!Z1zscuUnlOgL-6IWOjlj|_9dXpBwQ<1{s-ZLF*;i^<6y$eCm4 z7N1`WREE1I0i*q#Wm$>C>7b3GT%<<_!0ImcsHPp$(0Rf)rFwjHJ}|GUjZwhj!aTjN3!XkY<+EF##px znA2?4nLnITyUKJYVWr@#K(X_VB;<({{@j5OVbyqiqX@L6LLp3=hz`9hS)M?d8){7XW?t%;KR;IQVnfQ*;>**P!8@ zqi!93B*IEW4flFnBD=+d^CZgMUEPQXiFL(zM&b<4+@=^ff&cmiR+EypiH+gerKl#` zXn zd9Nv34Yyyh^7g}WW?6?99mThFiEtHC3GZ?IHcDhoZ^J)=4sXXZl3zv8G-5jaclE}H rx}`$%Rj5Yv7rfV6sSgd*_@k0@=+ns`cNdQ`FLc7jn)!^&ILO`rKO~gi delta 1241 zcmZ8gZERCj80OrE4hHBPWounwAD~fSqN9U>gy3ovs$pXS%cc@3<=T~P-PYdCJ9RE( zj<4J(qcZVI&#M(5piSCIet$u^QX-1eFc)#bu3I3cTF%>+vhd+dQB$0rk1mh4UU!| zay_f%Ll%oAi@Ub)U=cP;&gwL;7%f7zOcB5NU=p@3z)PA$PboCQqJ_eZqVG~_a)dvWb94m7Kh5wN#yVC zT7g)w43P|Z_SPxHQ=!UJMR934UX)Rys}d&&=dZ*iLfQHi!o#cakwiZBxmG0x*Wjom zGI5^RxE7yK!2EUiitvv+)B@t;046D+@h4Uz3hzQUIS<~A5yHR*yg<%(_CbywR74!P z7in@nxDn42PS)UC!Yi9lPA8hZ8DCOT8RWi`Td*i zP3WMo6HzDE`v$8Ndz#fyylk&r%hw8&J04FUNqkkObLMZl zaDn(q6UPbb9)%#xeH`P26FvA)qUyl&-e*4XORxHHcxgS`Ab#GBrzz}-K3pN(){plH zYkx&+TZ%-lSEjunWt2c7*+4`7InzsYtEr&cR{2CvI> zKIb`E!EBBSc5MEEE^xK3s*9mdy^&K|*4lK)Dff6h|+ z?|ST;Emx}%ZPjh(7p#~Oux7+NV~(`$*R3-Po6e5&Q)zhkpReIs)-X_4%}dglo3mnB NOIySi=hHaE{s9eArMdtB diff --git a/doc/LectureNotes/_build/.doctrees/week35.doctree b/doc/LectureNotes/_build/.doctrees/week35.doctree index 4c8675ee603d6b73f47c7202a5f2bdf499265b51..65066d18a188e3d13c13c86a53a6d76391ccbe3e 100644 GIT binary patch literal 914050 zcmeFa3!G%vSsy5Aq|r?26z=3yEV2a^T=hyx2GSp^IP=V#)W$0p0mz>(NjTO|Qs27wyuR;z=X;-XzTt-Ny5^c|uc3c}+gh9DO8xRw zu~e!zN`7lMI8bV=b~gNad-pqc$G>rRXLl?(*eq_f8lC2KM zlDF1uY`kv^{8!NZlo2_FXQxVysrKczm(A82%Nxau4Lm)Z*)89AVYhrRxc;1fnZSHK4)O2pGVaSa zl=lbwH;ce_d$)XZXQdcqitTo@veIc|wrF78mq*I`%GZ|nbymtZ3AzLAypL(8)Yv$7?(uU^o<8P1hiUbuXODSj zh+5v&ELG~o=C=1F8Ywotv;I29-KsR|Uc2F)t(4Y5ZuOG)BoKq&`YWhF5W%6V+J!NR z0Pg|JUinT;S^3Q%zqjDOx8c9L@!vg|GC3XP(ei!ew|C0-mow$D@_2dTsoPE591L!3 z0h<8PSYze=MA2g)=^NUWcFi|F1!vMhnM7Aw%_-ERH^7ndiGCO+l)eM#Jn}T-b)@_d zNbO*75R0q0-YjmGO|1Ro#KcpLX4|iOk5%!voPC1Hd}3nKJLRKBn>eJ`So5AKZ?`I| ztx50Q^~xozh)R2#UcakVYcT0KOY@f#t#-3fZ)|MyucyHg8}(w%d$zObH^Jdb9n5ll z-FtLyD2<*}#B z6HhbP`?>dZ6Xx4p5X*UYe^h-0?(gXMd9&l*^iQ+%Ud+zDa&~yY80w+m`(F1r*JybC zk2OjQeovM}Q}T>CB@c!C`Rf#azWWrY@0d3+aiX){X|=t=LiSmIv+ZxJ_)RZAF(Iij z*e?q1YD~#D7*EF}k@EXg>vuR?l@!_ItL~vk0d)95v%`3ryid|350q#!y1Fa~;xVck zlo)+b!Yn!YBl1OX=$Trv-Xh(Gbs7jii2%nJ1$_B?0Om)Nu){(pWQX4k!1T=Cey;3$ z8^sDq(oHZp4=Ttp*|Ynj>O63N$B6!Ea>Ntm&8V@3ly@+=&96f{WsPyUR%vN1l{6(O z1rO4ftV#3RfEz%UB?UIV^m5S{mOJo0X zabvUQw+Ly)&CME&6(SJ+O$sY?&8E^OCAO|g+ZvUB0#yD#gQ4=6MCBhQMWw0{kILts z0`G5Dpt2BeBGRe}HQxhb&y_pPR;jps%tNWNAKH6frH(4VHk6iFbY8Xg6-tAv)H=3N|AZ}W#>&0rPw81-vxPdD z|E412!CCW=^zaagZ3<&*D)jbL8cuJ*mcMdz74E2(KSiDkVadbf3GRvQ&Cov+6b6o- ziI5T*jBud%@W;SUB0XgARGb(Z4!N*WXh{(O6oQfJ^AQ+&YZ$?Pz}9J2cB>a?s>}CR z-%E8To;oE-K;omb(x2K%dsCI33I`BJY{bu0r6*LSKJ@i1U)yMu*8Eznu{G(P^y}*t zVRb(W^0-u~)qFA?{Y_7Lqb9x8auN1P(<_ja3PpLbw(hSqh2#&ND=lw&DxbxFIV$JZ ze6sgh{I^JUwcx&Nd1K^GTW>Zx_0qVUz1Pu*6cq%oqd|clx5Js0-iY4xC@s)4lKd_y zqUc|VC`naHL`mQF81&x?=;d5xrB$vpi}ebN!ZWZDN*l#GK9KV4A_Qna(4N`bIq5~{ zXT}=?{WMYUQjz@HQdKG$YUrAzLoJ2JrzAbS?#895>UB3X(AIYhOk0mh+WOW3XiHVn zwAG&x(o5q6w>$@x~OH_%43kgdvWf$vdcR^R=ij=y!UK-J}YcbUUh55 zjY@5Md=iju`p^>GhWXWLToHKn-_SgbR6mVBaiWX#q_h7v)RR8N6%0?qBhUF>-KQ8= zr3ov$2(UIP^%BI84VVWHZ>QbO4iq;Sz99|WFAL~?k^UII;r@)37yz@IDUS71W!j0(Jv>i67L>eWyfuUZ!%vEPbJ0tF{wGg~2v!`%pwLc;Y)O*HF( zzaQzK?<`k8Po*cGdXJoFIXrg9Upr+W1wS0a*W5<(E|Z544XLJSt%NjmFt}-@1D&ni z%dywn&X|76Z9{_u8po7K z3sRM?Rh9ba(?9jK2x7t43zhfsD%5HUa=~ZQY;ZIRnhcy}t9aRj&JzZDm2T~=fm0*O z+Y)PhVghP00%C0hV2dk=`)~TC;(BA9;{Fp8!~!n1sJR9fdeZ|N!2GrF`l63;!qa|- zx_H`eZ#9}1TNHMim_TG~6R|k&J#aI@;}rIfkDlLN<=G@o@I-nb7<8UytC;+|Ba?3g zJ?`p_Hc7GlifF>@R|-QIiwvPJN8r%hdnNtJ(K9=ETi>ZPP#9CNKUQvwP=rK9*Lw|r z*C+JwP)a~wH|ZIW(Xal)zq1GJN-%nU*WmOlf}WpA39RdRCFwrJZwF}c3| zVOFYAB4%~^1mfk}oJa(AMHwrc`5{d#$^8u_!lgqf#*rVmIfDfDP#I`#Mdq#g1xQ2b zT?<@NoimpXIX|gsV}bvHNYj0nw-or#%M~sMmc-4YDs2uh)2dRUnci?tjqoKZe+=Zs zX0w6h37GNCP?Bu;5M`IhiH!`6OGQL0V1(lln(11lL_Rzbl0XrXdL?h8(L|yXrH35~ zUgciZ{8hh)5IIu)=pa+bk@^dA{=R#FsZf;?O~srs6>w_^y`7bMAb+K}QlZdmWi=Y< zkvQFJb&Z^t1#B&JQ3PAY-%E)8uV{op4!#O@9RR}u7~=zq?%W$H%$qzQiqt`|1$9G zuFBc{&jZY^s+4GU&zzu0hLCF$6Yz>{!?-D9;#yhQUfM7qegIP!S&O9#nP^DdCaX+Z zQ9ONQ3*BV2XDBPyYvAI~Be*cEk?Uy?k{rYjJzL?&k?J-32C-!+&Ci#}lzp=;F})XH z^?3GF-2s2RcB_W}X9LiJs+5QpMrgev@UYD~i88L`T=e>^uu;8_CS|00??7`yzL|A7 zH(ppZiR!K@Y2f;zvHCZ{$E5rdh9gKj6aU~041LncJRLA$?_lo)hDq=F=U@r=HRyYF z?>Xp#SS^12{?-MxnV{IbT)8yWXs#bEuC$KkXLE~FxyAh4;y9Arpu50VQE7QduPtML zg7U`urK!xb6}Y8~%^DJLpMT0PBU#9YH@9{_n5(GRvyX+`^i*zPp)fs8ZA05^SS_m+ zJF^#njitS}`XH0z5i+U1&oo6w+$fdA_$JrqSH9t+En{Ron;5B{iS*suR#5@!0J}WI z&X8V{xod>4E0Urml+11Jmb2Dlx{bld7Ik0{{P)_7ZiB5d*}n{Z5|1{BN|&}@J6gBr z=ME<|%IUe&_)4=P;WoPK)xb#APdqu*ccW;}iBT&ceq!!$uMx%Cf*u7NXzI&@*k)3+ zp&5{_6nx!Qc{?l81Q3{$yGybNUu9+LWR_DWvtjCF7Hm5!!dIw3!K*CAc(RmL%JDWM z*me$$llo?-6M7sRldV%|Stn+)vKA8@>x$ROxKueoyl#x6+ykVDCa<8Tulivksgdf3 z@Fz~RP+V>0i(y>to4JCHt1UeS9`&wHQ{-)Km9ZxRiM!rb5vmZ3FiPCS<_ZW=+L=Uo zNFqods!2%fU`Id;8gYj5JQ2I+EghBmW(TI4`BJ0Z z!qb&{HotRWlxGIER|Ww*u5Juu1G;+6Zf~30+eUlaXm4A!w=LV7${=QlZA(aY_K;kO z7$_R|MB@V9RfxA0A7X^}Y9X<*t`%X(Rf zpwp>f)Zi^CH3*9N=ssJ|bg@`RnKwFS*BGDkv!gfLJ2z>Ds4rJ0!|lz7g5Cwxc$u+WdwqX79PF<*wy;5R_gnDPp{-rJPltO{tA9fS zop_>o=-O)xA>EY}atq`Vk~_p^@0y&!$Xhk4>Kid4P{JYlGe~O66E7jPs%sq8YtW90 zsw`$q#=X4*44N-4?*N%*rb&p{9gWu^T2LS|;_n_F@gG@s0IW5n;K#QRUH5I>L(vED;fM^&prVS(V2rKG`bP1Ef|1s@$vsj&4?Ue=-X17T4H1ya8K`Ht|%xi$6#2TT~?{1%%dqx zvoZQqnj07zLt5V9BspV*JqkGbw8`v%q*_T?`h`tQ7t$mqmnIRN#aMA;lBywawD;}H zkE;}U!=!*=1Iwz}xLko;^4Tou)GtCrVE?3*}BxwWb-K(Nz&r>68ifQkQ4FaPiTHD z(ZT%quHK|&prc_NRo*FB5uxnFzA9x>P6Ue<}6%;6idr}>|zIn6Fk zDd|AU#CT3=5RsEpejF#vh)v_I7D>j?fC#OW&QbvUG;K3yh-7+yXk zKf+g4^4H*^f-lBouB18H+)OY{Fv?L@yr{V3fbiKN+q%8&;(zc?i9OvE6g-p8SPe=| zt3?p@rz3OkT2PKMhr1DHjL-Ge(U-kEMy%zb5HE?o*JqoQe>DP5B98ULnqx^&g>R+j zoExydxpyH4$oS4Rc$y9)rNvo*z7k9ZL`1pqsmaxKx@-+=?*xkCaMGH>sVhR52HufYT%^Zx4 zHFh)$FUP1i#x`k2nNX%TJS>P_rRSfDQOY`8-vj}*77i4-Q+`Rlyy&g{CfNYBe>n$eE{-I7mhu{9@&nV6F{nLMc8t`Xgnb}WIRX4^BY!SU z)hR=~&r}Ap?NGT938y;APA2M#Zp-L! zlIZrxIds#_(dESU`mB&!{YIMKk?P;Up9GQXCqDNVihF*5t7!2WoO=$sdkaPZfzEmA zB7>mh`OPNW<;p1F0$asx;o!J2pupC&el7E;7mHf_?`p$WT#h0&Cj^}n>;PCtTn!nZ_0|(9; z%k_K{8C>o07YbHQDtZ2js9@@9+dEnFr)pZ6ou?B26aJ*}n9+LZ2KG>ukA! zQKAMD3|`lP5G^En1VEoKhOTGcW)DA_fITE!_K7cYIcJ4^xK1Q14?du;_yH0kM^UFV}Ey;k4&eGi5=dCGg8gS=%bbs@hyES z8oaV^F+lW35r|x-ilfXe#P`+EjQ%1Y96i`f`PxS%AI6iKMke~djtngk>%Cp$TMnC9 zZx2tEEF%rucm`>7px2SjAfJt6kcB}NDDAM4kPa11z}B^bEUEJ0TbMnINXGJ3P* z#>`5#X;|M>!etgmZEeGzO=4|lACH{&N*Xykjw>(n4mMb=dKt-?7_gSYWwk;xHd0;3 zpCq>V$y@eGBcsGs3~l7*bB2781G8W1ez!!w9r|M|l)iM%!ugav0;=3uv3dF5CbdyZ ziN9r|R#VAx|L?}oPXhUKcE%ztF|h`DeKAbk$JURF@fwv*2V+goR3Uq8Vb{;ebS-24jK6t&Uyb#Y0i& zsli~@+<4%c-~rzmS&O#NigDF{EK<4eLJsrnpICWbO}Xrx1=f@|(7c&o4_MOywo99q zqm%L+Wty)(tr&2=7QH)gH4usXWSS)M23o(?no$fX=>Fyyx|a35+$sijlB{z{n)f4{ z{7Pl#`1x9~z77i;&Q$L_PC=z-ig8nDH;3I$mC4)=5~S&8o`2@$&jSA};3w^j3d^v2 zmOs!oDQBAcYtXYoFmwE01xos93<)@X^Ch+XHG(zAUn*dmxJYFlbs%_@Z15-teLR*v=KO`yRG8NPvo&T*q-mtZc5yO1D;)>WvTL`FV|sa?TRkJi!AO@U>O_h zwmBC|oL<+Y%q=9k)A{RCgrX&EC#+$6`ILtwQ9`;Ft{x}dZ}}OPlnkk!9}3nO^P`Rg zRudy0QySnFjxR5oTm_vNt;DO=`5xZ>kSo8()kxo=6zJ^h0Vj$icBNoJdaR zhJYBP7PzDA(GYN53Ga?FZ|=FUjG^=?LpEkNaka!vPvtv5I}&_F(DjZ|$Aad@1X@@tUt*LP$F zdBm3m@~%Xt-KH6p+ZmowseY>oW3}y@B8?0?k9Azk)12*yO15#9ddMWlA-$ID8y-i&xZx$vJow}84?Ul zw^{g8y3MleHVa?cZZnyaR1gmrj^}i&<$nxd72)tw_@&{O!pmQCy&3)M3emhloPhw# zwNt}cP?frrI^7@C*s8xPi28R1ChE_ec8ta*>YpEisI!8q3!FMj+#BQ@$)F_{ZFR@U zqfM1^9d!E@1CN@1Ce1$@o-{vKa}a~UrI+BXt-$>mNoB>+UmK+4k8OZrD>(U#RM#Tq zjg#8CCel(yvxTE|=(!XRl!-3zX>w>!TwzDCx(A2o!B7K-Y6imLFC**7)`YJoP~@r< zKkTWv;lLg|YOj2!LcZ*tb>KUD;Y{@z^eo~4C0?a72BKxP%@V$6aF(DCTM)|L3+G7a z8F8&5e;1`9ArtI`8#$Jw`QmymY??^fIJ^^`(EMs7Ftlp6ej1qU9V* zXz^i@IwK|v13jyaTAiUowjQKJ8Gf)oDK6~`8$n5KP3280#bv;HkO}xzC z6GK-CqP>R?-XN7nBDpT*@w#v~2}CJ9s{X5GK_+VhlgW{sqeojBoU=BlGYhxQ)^YK8 zqkxN>>-oJpjVr|P#I%Q>n8I@oG#UKh-MlAAq*sN9a74BZLGW2f;m~}geu-|C;f)7= z7i?bhx{DJ^9YB;B(&;AqHE^`5JpT(cww16<5s0^oJu|Ch`uR{Gh_E z95QQ0_maOf4nwN{AW?A#TC^1HmE>X!P_IgRjri6Y5h{>}lo#4P*dNi-1iykTmVPC- zceL*FD)pvt%d6-U!>^*V|3uBSMxP9cWKDK{;B7)0by zW$>IXXJZ{ZFE?>>2Xs zj&6GADXV6bQ#ryY39j8CM z=PcRr##;5gk^)Hn&D?f24}eUrd4ToSTmgD%pbb^fkwc?HG4rKX0}9W zH+11yu|@}kHgV}CZ;28kpgt%gRNSfzB7r}r%Ebu}5%W$$f(*?ux25NsJVVKcn$g{If6 zlt+V9vH91hBST3fn^yi0#jzwPESqi>+eIV`G0+wL5{rZfZ6rhmabNZ$u`*N}Hkv+{ zCYrvcKYKLL7FRMBjW>p@R-#1xw!!;Cn&2g3>jsd?%EyAb4}wC1$3UrrOmiR1#w z0CbRA4scx=N^<$h>^qy298|JUBF1=Qqvy7R1DMh>AFdZ4Sh`x0*Ffgg>tkTl8@YEU zhE@#>5L0Mu7+4+|R!K2H8NRJyAUU0iwq$^lQiH?5bbKh?&46XdhFmbbPo4gL-IMQ@ ztcM;I&k6VguA&-*?a-~*PxRtBhr1O~qdV8v{v&^DKP6Ve)W491wtqPc&AgBbf7X|F}2J~463JJs;E8yy&X*r>=R9}?Et@ZJjjY_QJh{!3xE@+o2U z4ld|}DYp`uYJS~suET;HXHP#q@fMFTO^-ZN(m7=x7Zm4D7=4HL9Qg*Ye-fLP*JR#b zi+jQ7Xm87E`yIUS;QK4@SGeXm|4?MkjVm>8wb3A#ZuGTkFNl7@^n4`Jd|xYx*;GxN zNOEj!BJI4UlVGg(*LWa6s>F+1ca2-~dtwcr7-SwLYv?tVZ%;_FnzEACa3Ck1AsEBd z3_({5_Ek!GJH%O?flX8_8*xh=+!Jxj>KsbM#Vg03rK?PEw%%H&7ApQ6D-E4dSh+~+ zA!_&Kg(cvN4+QM=@?TWgU2iyTnG z+hh*gxNIFv6dUM508Nh`?^y$Ie2pD>(6HsM+485n_waFNa5y5VIovl#5mDL~2geyj zJdhwlzQ4v6UD!Zg&zetr%V}30T|*oC7f~3VJ#tvGV^r4@g@qph9cMHo;FX*^9D2jN zG8}x^gNNONt8mG|g)H+>F2M^3MoYWj8l9H*X##K`SGl%Bm!*A|A3I>VeX+|=9UMjB z@C>d|FOmchsf=h`0|KZ7J+!nR?o=9cV6e1w+5?UKW`s?+EN@4d(?kM8lY;?JN(~MS zkyO?I_sQXj(*P)q)`o%R#L(-+049aThJoc#wYc`aVhw0gX>J&J-ky+qD2Wgxt>GAz zmW#c@n{8WuM3WAdu0V!7i3?1zyIS2p;fW)y_^uJ$`+|+lq+R9ucqM+$5pUL z04SD*&0tMLbczVBk-Q6eu?V6O+oH?D+T~2x^dyNX7GBLJ9sLKM{>(OFTM%Dh zDC@rh487<~I-Jq~B&`;Qf$CP9aT}wHesT0-uW5_%U3N1*ytc{fr8LRwCPU8Xegf-t zEEw0;$Ytp?0#!JUQlhLX@E8}KZy|0LsU=L8kM$eC=i5}OrVo}Ky zuhSVKl6(SDoi12=4(7VJ1HM>m(J^t9tz@E1Dr@>QT<9`Z3DR%EONo)OxZ(2+JjPXx zxB{M0O9_m(yZSTc-~An=@Yx7%?Mb$lUQ(Uo7b8t3(m7tzI)@w*>l}w!=dh4ufaUr+ z7*I+1$?v8K)GgM$8t_CuI6!eNRf#Y|vARthh9r*+^^88cJ~?`^sG$0Jqzy{lWKFlk z3g%y?hL`w7XV8dVbatNTy;h#6>yBuh<(a6g&53TislUrGK??dyckP!c=o$zOdoWH* zJu6&a6N%_c%q&YC{ZqO>?gCFxfbl}rz$T?t!KOi!(LZzee!md{dsqPW^vsT7q! zvtKHdRVRTiP}f8Z)}*8LBPSGU?&m7n(Hi^;7@TotyxbrhaY2&(8M+}UGZV+9v2`2e zti*d^mde$^-pf(k#t!q@a5++A`Z}@aCD5UV_rh4Y-QH{+J9^ZwPi<8$RyO@or8w1S zt{|==nO=~=&`n{o7HH0loiG+F2=*ipPDGka zBoKBrF~}jYKseMja|Qw&A7eq)Jg5hzy14WR~JTjK5hW+LE@|gb*{qYW%nTMGRX#M*HMFvZjRkv z#{PF>0PaEBW!!_b%Oo45UB?)tM17*a=g()Z;olYp_>`dj{4BWDiu86`KH^1r(3!ZT@lvGVR!;hwYZa>?ec zyPll8$f{Ffo%NR;h{AqZ4hc+_kC!dIyvy0~MRDW`1qX2L`9`>Fs;+lUJ?`*q@FuDj zk_n1U-s{09@n)3jg3paQ?)1fGEJT@VbPqq4wsuvm<`pfk#Dn90gJ08fTy8$AaVyHk{; z-`Kq9%V{FzfFv0MaQ)5!T)Zi0usv-GYH!lgBQP}i?hNEFx5Dm2MuN**kZKqD&_*|o zQ(6H|x`*>g`EGdG^U?Ht7E2T9cXT$rxCubYk&ICR(MiZ6mPuj5l>9J;3r4tuasFbI zr-X@&OpC*5FJTX@3NoxA677z}hGE&Q9JxxT6NO8aH9j?lPt|j}!`hyYvl6zwO`M#H z+hsU85kgevk^oIc8#quw=S_?z!K5*_$;xBi58d3)6}1m@BMFtCZ4$jJQaO>h{0S{C zW#=p|=k`Ve2GDzL!GQ+X+Log=q||)|LG>m;V~7bWI7Vdik(h~@OLJoGaIPH#s2&9z zK=eneA(<{*)s<+?W|BjWf+>0XOplTqd5Kn39dok`WGNw5Gk?t(#T#e#0lTv8{(FQKp6jU0%JI;ZRg{%lZx_yW^@(=Gihvp4sIT*{n2CG6R{JSJ zH_8+nIZ&1`iSTZ~o2+~+IxPN{R5IP4Cg9MJdk~KSZJ$E1Anq45D5qEcwCD0znjpE- zIOSv;MsU{!a*i?&46tqtd<|4B7K1UD%)L8J+#M2|b+EsXcEXeI$^gspF@Esi8*=WE zLUU0!$1Jy;+Ti2Gi?Q~5iI=bK4s}*ME3AHT=eS1{eUY*{dN6UFN0?fB_Hy|Eur{Qi z`qBf65o%-@#?}0pW@7_l0wyjD8Oqq7L=vGqMvv3&!n63q$*a=IDCc_5^%bPmZzb9o zsRo0P2wx|1-LnqZtZbj)ozaOl&7tibbI#2#l-y$-pMJtP8Z^~56&iS%{G;I~{P2qo zr07Kx++pNPB9)X4`>e5-KNv9z(3y|Y^e>vpR^(C8HhU6}!okyFO9e?f#v6r&>Q4w_ z`0*G-NWa06?^n>i%vB81{Nv9!jj`EH7BVs-voninG{)a65SlzBWg)ER)K*yzBJ8BXBaqLZnpIOzK1 z=tr-~UUt%`P24U!X(4mISlcWYBL{?U(8B8}3(YD6G*0A}n}f0F%5yS8)c(7As2_*# zkj?`RnMZr8A@@wfVsl+Vs97-885MIp+NHA*Co&p?r%YwYgFW$m6&sY24(FuHDfuFK zFg4@h{pR+*=@)6=v`I+agat=yA5?|sH2Wee4ZEZ-L{Z1El_R=wv*>QB!S6pvOo;8n~W~x|h>L-5pNd%0OR_ z0uB^fi>KO;EB|bo5Zua>ueCshtRVWuG3Iy+$ zi22QL19w9@?9PrHkdX@wlHt{u61zXu@_cGj&Ncfe&k>q=eDI<{>MzpOoDeCMxW3MN?P+GYFdbfyr;I?rNa-JHn)0WO{o5l= zB(kMm`jEo690J>dcZ9jZ!mTJVYmB`|fml%9AssqB=%erC?g$W$tDeb`fU`Ulul*x{=HqmG@b}SF0q;%wC|- z2o3gDA5-uFnh7InVrk*FUm>YS^Y5u9zbk(YJmUCA_$(5MvmelNEyu>?g0af?6!2n9?U;VK(0lGO< zWH^>-0As&*0Mefpq*0DiBVh=XIf!1VMqj;3IC{0|;h4o`~yy=6(ga9MW(BCE1GPxfWo3y*sz3IeynNhz>1& z85r1c(#07_Z+nLYC9PG~Dyz7v6!)9ruFpp85_VwH$z9MwV3P6e1bl<2j-D!ld3d7oQl5z;0mH4?bs_D71ZHYz0;l|n9NPZ5px1-tI zIChJZ?5aCfM)wdc*i7p&U}i|B^|`0j($xSPOzT3sh+Br%neY-u?TcX!x84H8N!Mfo zu4AW@4C)hYE1G?C&u$EI>{AGowiF?gJy2RP(nKOkd!?f=D2Kqz@7}I(N;hH*;1U&& z1(Q=#LobmdO|_jSfVVqmR8eT){_X%Fepwng)>LXQ%NJrzd}QtJcxumuUbP|(7Hjo^ z==#N%i;=Z^wYyR1W0U^F!!PhJeN2(3MxC+1AEXPd)kcnsp0$$$TT(;{O{GNFGpudX z>c#y#ESHLU`Cd zzJ=pDJ)llYNV?cVkY)Ws&Qo5}y3!*pT2&`S#{I&L&S&;nT)<#Jr)io>Y z<@UICY`qp;D{S+M`1J5A;_x4;IoBvQR>U&S3nC#EnsqKG4fZABf_GeNuMQ%&_s*WM zg9LuH+W6Gp97@atO?3Zl&7=4d4_Z1<@~#!E1Wx<+3um zC5*dVRz0#OqM5^{lWLGE3Lst?@8W6ijj;r2=V$-EMMMH5O-M_hptN&73u%Q;aI(Z5 zC!Zr`VZ9`$mCShYT18xEDRa{4ASozd6DpwQjbH?WkIIlVI#Z4`*_$%K!{lXKEB{PUpd1pfC*mGn!rVucJ)PS-DF8JfM!pIHS(k@`Xxg0TJ9Ndn-L<}!aFP2gwb7Op{rp@E&f)pwxJriw&r=9kk% zMAxATn#akx!wesZ7ykxwl9Y}`#XhJL(!}6rn?v1p*jCqvlFxU?s4WI;u|*w#C0imW z^_D*Bkuiq8#T@_EFu7`d_)Of4!p*b9>o*QH;Im7!U zTm)7g!}1@g>Ji$$nD2=7#bEh5gAnK0AB%bDx}%_CUSVQ|u1UDPDfRqH;|L2B(-JVMAw^n==$SY?Rz!%D0alz_j`Q#;~3t*3~Oe><>g% zq`mmx*0(b$VKsLFjD=!7<|cq%PYUHkn%fR#o!702qT<`RBYBN z@Yoh{mq4pk!Ce7-=#si_(>P+R8%7CGdJSrL|5U*H$MnaD+VoxbtlWOyhTIkS__fTV zR>A;o2W%I2#>3kMapzWjM*%Ahs477ekpw8@TA5NB(CBBUkid>ky2xznig!) z{i6vOM#5#kv|}*=<~)**#4~_CwIwUilKyYmsMUP)B0mb68`2ST_`IS(J+X!y{4&xA zaBToi=8^|6mwa02Jr}s+urRW#JN1j$S63&04r0i-d5A6`!mepVNwJ5HO1QS$3890N zpfL(M(~!32@j+mIt1VLGarty*qw=CmTBgGgwOo!mY0rSJ3lm zqRzE}MB-MuEnIGJN0|#(mEesTy2>40-PybJ>dl^v1I3Fif^RZ6Wh)i_o#K z1-^;=Yg&Ec99Eq1N(UUvV{F^yrVqxr(x7vWQJ5TdVokzUp}oz9HU+|a4SH6qt@`aW zS0mML9c0SbR=H0zDveKD^*CW&fxcy@<3`K_mv*3CXeqR$KxPsBF~B>dh%WrEic@O@ z7$W+NI73GSvg!U#+mR&&8l8=4db({k3&%&y>W@Tb)fQ?lHXQo5U7u_O z{&=M6M8fUluPT(up|NnghyB`pv7mYn5)^iT9?u|*!Rh(53HoFLUD`+p#A91wP-M4g`z4r8c zEb66nx=MPu?8SNnk76e!?j(mJB|4YA{g+$4A^~Bunw7o22dO5CN$QV=C#mKc$FvzF zbt}nK>8=RRX@X3QzEWzZ{r=UfOVs#3rDpqXcAAKn&$r?yeudJm4AW~~R;T-95Cvn|cPS`p@-e;EhI!A}c8 zh=v*~?P5jUt9tc1P`IkT6?g*Yxr_b``*jfl1~w2XBoNR^K-~ z$-HoG=eR{Q*0d+^$@d{5?TUN-4^&MUlg*jo$>wu8$Mk6pG8l*Hm!+6eHoTo9%eQl6 zAQ8VrV0h#yutk76p6?9*W z!K4boqHnjq#IAB>^) zB%!$vS_{F2xaBC~+D!{}CoQYvL{G$>=tA5{AYGdoSG^w_dEYub@~->MX2d`|=fB{5k%@IW6~Ioz84D{^Q}%c=#6`Xf$Nk2(#a; z5Dr-_9P}OEqC~g&=$1-~Pb85_cRuBZ2hTi4W&nJmPw|bwl2P~ku259{X<}s~)t`#N zl9WqF{!F3blUzm1rKK0J;qn9=vCVC-f=jZS?P9$xgJ+OLTNMbN4H|H99d-(5#E2*S z*eI@IJEfngAp?caCx(xhgnJ0rl;`25N4&FdQT10FFm<(R5bpBG*bYBeY|IGGIb&kp zyVYHKY<^`7Q;V`~b)RrUu7%!bh*AuP!~3f~Hh=lo}iuA{jCP+*y0lVrb78`+yZ4 zV@%N%{Yqp)6S<;CHE)oU&8}$N6%koY2H1{|4$%4&l!5+JX{=LYca|P`r50OLQ4wz>fL}G%ld8f$B^NDSw4r4PM&nY zYumIrD_s4U9j@*}(!t;r6+k?l4-7w@XDbfy^mHzL5-jTsRKZ5GRH+xC^g^3~z9!sP z(Eci{u;P$YxK8}qHl2b&N->=ExTkhZDv*tOrtV+Hf$YA25x2h3u^XiKUMe=B&f`Lm z@aoCNX1lV1dRlMAc^}AAyJ8w?A#23Rc4sH}{fl_Q zksLhI%viC7bK$smxPRJ!Y&3tgK05CCIAR(uBRcVf(!tfxL>?;w6KyXf<5~;R3bp_; z+5%vDhKdgmkiN!#GhEZV-e>|=oB~Uf{!9~>pHw!{%cIzL)~Mr5zRU@rX}d+KBKX(a zf*T7XX!N7+w00qs-jiNXdX;uPqEbW~sB;O6!|?(X_N^dl#_R|JOwj*q58h9Oad7 zS1Vp3mlfFAJuN5$t9xu<&qxKi9PVDu#(-R39lhC;vk&Y*&I3Q&DBnmE<#T&uI|hh* zZNY(t{;N+?GD0Qt z1aPSfX&96u;ImIkNNdxBG)7m=nPQk~kVG7Rhc||H+Q&#Uz@cWMIXKrY`IqV7Gd!&p zFX4y+QCtY^GF=`+BAIjw(hVqoljOe`J2jaf;s}+ovr8HQ6P4N z@FkLJ!--rh1J+V>Q2k|EBqP;d#GigCy)r7${0XHv{X4Fr&7|PiIam$IQmT|-MbNQ- zMn=VXf3sDoHR{+cM?q*93D{9rS5AHggSMaFYPVrXlIRx<`nMtr+*V@laP}_|*5j)} z470D#M>^=sL8NZk)+mw#WF~Tl8*+L=@)7&)!RmR z`Q1W)26D-K1?LJLpPTY!^(EGfYheSFe^ zBx8zhgyKc#z{(j?ztu>pSusHm3_L+EKkMk*_L*&WPmpUx9yix%y3_a?jzFQ9Cwp=D z$^OiX4ul(%eV%g8L{cq0VUX?6s%st6!|Cj!h`8eIxuX<^rh@QO;U2}xYS|07Wl2 zHSfV7wH(NZ7lOucHILNQf_;^eaSJG&1`=d>CvIZxt60A0!Y=7X$6!5Z-AL$p)wu)L zT=ULrfuRSb)dO1Rb9Nq)FM=bdFBdm95eI;EUXqa;NY zcB_|Zf=8;CViuNE>|Xf=HMK3SqF2t+t?++84!3R-u52>=I(0nY&QZuWu?j?vq*vT% zg!e1~fu#z0mZ1i2;z(^O)|NhfUbHetUJ? zUX?h@dolx-O}QXI3>{w5f*%IR+icXf>y3>H{K{*Uw%A(T!WA!Ax-f*fOL6cQWzoau zEOuxYfopP~X9Z-s5qJT^Nf@n+!cVX7fieXK>8p!-#*4uThG+yc{7sRSY%_^#H>GgH zlcEmhxgU;HOvC~{ujxc~%q-w=_ay7?0@v5Lq4zyT`uoxx``eSzq5)6R8gVf0?Sk2t z(**w7NdqqYa10rA-j(DdCtup!C^MR5X&Rj+D?jjf3@`2D&mq2=3Lh|ronoU7*dnX9 zqE>H34}n+jZ>C8Ew>z1fVi$q?yJPrTy7sb64F*Dj#$}m4kx^zQt{*%Odj-yran-WcLqu3GimrkR70MiNQh z>+U=xEq*x&mb^G)-!-oW)V)e11xGQV5S%D0dTW~C>=$%s3}3#99qvIzyAuD#8+!(h zra5Hb*GR)qE5!hzSBW@~`szR@(}dyV@Qd1jH;vXDxN#{WaxF+j#9ol{A`DNd!Nwb# zB$m=d=K;yo45a9H4$$mj@9DI*i)jMjI`=1v>Ud#q@GLFtb+zC~cxzFSVLi8<(JSw@BJta)} zNGyo1@OPNXl~t_esEjrD~i@$+fm zEJ^8D;P=GNelks<4|S2G0i)yNU?3&Epy=PH36egzTJaeBFl#yMQZj13+sigHNQQWh zFhqh|Hnv;s<@(B09elC18ytAluhpK$^X_-Y*s&yTEQ*!{qZ_{c+NuQgTXCG z{4}6>|RMY zh**Q+*#|`~A&|XV>mVywTraPTE{u_ta=SR4^oT*Nb?U1ec7QjurwcN(B*y)s-)ywT z#&AF3*yZub+41qr((}hAa~JS6Kb7MjdHQjg9}E0AF;U=O)8Vga{xuW+n#m9rQDqDO z*O1U$Tb}}^$Cjqfd5?HY7ujcSddu-<5;c`=Rg+C+b--H2eeneNVO-PIN~d{=num7q5})Ar*`ZXf`i<4 zdwUb3yPgz09@!Vf$RxAlyKyGo2~Z7X>xmOJFsnMBq>{*)u)Z!Mo z>d14Mn0T7F5mNn(0a@ zp4rG;a;{w=P!lN!!0JhlJEdfqGdI zc3Pp;zX4d)YpA4NmGf%m+^e#BJqq+%jVJ%5n#7r~o#-H{H%03Yx)!zG65Na9ma%=d zf)19xUEw3aN@v&42Jfn&xuo2VbfNyTd9p?WcJe% znd97Q3U(qbB2;Nc&lX0#)+*f;#SUF4U5LG|c3LfQRyD}K?hAEBZE2DUj@qv?G4bqb z0f zx9pm^>4~A|PLD1~p)m()jGXYBO)`-fvR^7(1@?P1{GmY*$1B%`1^`(+;t|6qz3?z4OiFyAVUzH%>fid9Fk zH^4&s)F9BrEwr1J=12U-z@hctF<>p-dRgTLl@c!(R{35OnfJqW=bbH#Z7-9t4E1Gs z1ERDxek|kRA7q?UN_O7MlB$E`nX#}SUdWQrX1&6=ceJ|%s!-T3tTH|>O3F3-8uYBD zfSKxV0df80W>59#KPV#EgL<@b?O_?R`wca7Ha{O!J(3jQG*#Y0#yZx@R-;qH9Tc>y zh~zlry53RVw~Rts^}o}2N2-6Wz!$cGJ@}~R@eF0bjVYMrSe-V9QxFEk*#<~eFaW`xcA|jYx^sW2JRz)WgFc5bof)(9Sd#}6_9w|2j|wNk|Irce2Resedt5e%l-siFG8Wo%e05}VnrP67`wxyGRPH)^%wCN#(0 zZwU?{W1wBcp0wR>Mzhsf6heFD8!&eymF}dY^4^Sxx8Og+6%gDUg24wJ?jpSsrpzc| zdg2KK_xC8=+Y}qz#C`zLhV3GthVG_nBUL$bdXd>&I@Lw{c3UScmJpkP9y>Ad)U&6- zZiVh`_zp(g0`Y02dLdHV#;rL`WQWj>x{q8^ z%RzR{dg(z8m+r=R=@_a#1<}rk^%$KE$$B zd}d`4xMjzW)-yPqfY=(h-o@8m{f-s-nQ87|hW8{VUsR;A2RZri?^RT?6}AJW>ESWr zs<}_Ss*d6Df@Ut&Df}ib#$2tM3x6?Bs}|_j?YXI3ZgDnOm;+;*pII!-<>r{BN#0Ye z&Y@g&p8mH$|C5ZXdJMn5rTQTLpBk?+K>iN2E0j8WJyjpWhc3@c$f6{kUKJK~59t*M zz<~3Md#%LDhe$>Xy&ftio}i>6xaubf@R90|h44$BWMjd#&|m(nqL(2TdX-gTKIHe3 zf4bRhG~G)+RE~=)h{Xu?SuN|M;`eyCuFu+yLCfYCiB?@+%`O$Ld2#;&5WT0x{j+L@ z_OQ4=^M`7(J`=W+`r=+XkMnh(#{$nUPS4CvdmcR&W(tM*Y4JEamtR=q$A$U)>_UMa z3kx&3LScp;XLGrkx%_;Fo~LK0=jKGc+(ajF3ip47N|gOAwQp+oukK@ndv!v zr^iBWF_)Xmizem^GjlVdlj-@n+%y-?FV0Noxa)j=dbTh-!(*GCnVt^^G&56}TgcCG z6S>*h913uM^Ye=fIUZ+jCJ%K?z%)OXpUH>d<>uza*a`qYH_I&)77GiDGkI!ZdSP)o zpA#dVn_rk0<5`$Sr3D6QetL0nel~<-dKSHL6Tr{H;ylAYjUqGoc?KGt0aONhdSN;@ zEr&J-9CCMs>B4+|k(*;W^;>+c}8p=vx^cuAb^DT^q8M6P)#1<(!P64=bm&rauOxkPSyesP8Y znMQ|&SsqY+ZW@!qkA-{z=oX_OTA3E;%*_<$bJN^O0R?6SIf2R+=0XH4&^&Pg(8UZW zj>k5;IJZy`sF}1lHXp(<1CkV^ z2hzpAqPxP}{H%a~dU`%TEyj}v;-R{uk36P1w^$HO%+Jow=LFS*AZO<0xCxL|0l#QK z^ZA+Sg?T}-v=Z`S^5zz2r)R|q$rbW|m0vI97G|aw!{szr08vvDz*K%w^f3cryC7y7 zON5q%z(syq65RAmVR}};v^X~lP`EXq3PTnX0uo#dm)`6g&=!s&j}O>k2BHBI}Zlo7w1K zR{@WhJ1WoP<3Sib@~HUAH9Bf9gWJ>FbdDYH7ska1 zG29m*WXy|LnmAMsu9C1}oS{Qb8$whm!`mc8SWQ)@{mEIn!vO$HOsrIjt*ktd4{iY< zpyW5!)~0Z9Hez#II8YmR#&RGJXAoWz6W{bVadkC^+W2g1KHyKL9$^C~PV+&~kH;4# z;$~K`^OEwEjFD5?lb{>mrZ45_9UG@pp;yDFky3*&H{L`G(+JJElFA)r9u0BO9|Qf@ zjsZ_9%?%8VRNn#f;qG;84A1q|)th!7*+Ha`dD<@(bBsis(C~C*QfvtqwE@Yq^y`{o z%GqMi(kSwjW4Vt3X|nPz*d4JvIT9^xf$1~pusUPRX|*^ER1XQpxHrygz%pDr!$5GW z&HjxsMZY+DvEz*UAUc%ql%5r-v*Eom2zARyV=n@~oA5`}sU!XR@=xX*R9U{dL?S?JbTl2tg`B`eJaVUoh$;V*_Us_Ti>6530$9x3bE z%IHoV)K**)dvxp^RBKAN!?kPlfL&*tL#K{4VG#=>ORlx#71Z=pe~r*HQvFr@Nn(e- zvZ(CPU*al`M3dOi{n8BFvG>8O+N?F&wF*qGIyM^k8M!~B(UMQ*P7QISE)G7gmq>$a zd7C9!OgA;PxlN7o=UO|%SE#lwA_25npW;Z|GR&VaAu()_CvTZ-!)2z5OeXWHC&F-# zS1X`6wCA#y>!VtPaGSv(hOr;pO>R_-_V!L(lSr?q=yI0I3+oSFYtgD2;D~M zAdP+ts4*^k?0Biae~+JsFUIVTZtws1s6p(x8s050QCUBy9;s=Of0NQLcirw?!@ zuo>-`@Y&TVVO`e5b|n$*K5~xAI(oEAhm7v4{3Du3_f`I}=iP2!+Xc2CmyO1$tMusx|5a&WLbzv6K-03;}6$~4n z5u=>R<>wJwL`)XZ)7cDj^Ror6iVhYR3y9Dm>N_(dK85uV=ANEMP;ibS+lX$86vEde z-^Q4f|E?y*_A>U3qsf`no;_`CkdZQIN+2oMHihZ-f-%Huu+2#r24cSx83x&6R-AVz z>=`l)^x+s(Cz&zP6-CoJe-f)@^r_-S3NT?Gq}Xjkij%OcbksmvEXfM1RU0HL4}0eR zwrIA*vCN;wcqc3F zhpH7<{2Km>Vw5(BXCQ5v9>eVWy4d&Hg04k-y+ze=&MFko%dK)}ZHqKxRmEF<2?GTab!)o>ep*jCt$swUd%E*5EhJj2Zia44chBWjOH5GFL7qQQtx zt^iQ|K7UNLbph9DF?9N)`gZIB_xs*ZvGwo(EE2{T!McXkT=b*a9Jd$dc11=xNzIdH z%@62D>ZV^M2BKz#?EgWDL9r}WG#-lKMm-gcMO3uKKtv|>+kJcZpDW%r7q%01@eC@K zh)3Gv(Rm2Lr%oa`j2$J|o;fkm5<5EC^MZIZ1>GubTt^d)`Ij0bEchNeGIF_k27zjD z48Mu%=Mbq5H=?rdYht49*ISL|8ul2VS*jvVEQA}WiL3I&ZOa*v2mwBfyn)6BPC6=u zdtFEh){1R9uSljI@HSK(n$Bn_4416=7UE?|;h}3!{LLohQqI{g6>$Xido)~(G;B|| zE6{o5|5URqN5z58sljk=z&dD67d{-mb2&Ph$BV$sUA-sT7*D@auD*3hBBO~#&V>0& z&x83EO@1)7S$I<~5;frKUB(4nU(6cetim4FfJVq(YCA@&mDXOKdV_o=bLp(;YQZSZ zm7$z5QYW+E9$BqUW|b4)&~wA`G3sZRj;r;+Bs%VcXX*M$!MKp8gRCL&6FR)yUvK*0 zSa@8+15OmeapiCi7Mpab{knIlf^AV@?!!=RsEMlnGa}WI>W|=0l(|Q_#XArfDg2e< z7C*#QH2+@uEDl$Cs#xFdP8L(weZh&@K=u&$b)(Y)^986l;`I_aCXwv~Cn&+5SwmJ) z2Pfg_17KNGA`DdObTIs?KjmQ$8ZJ%%i!L=N8wsgj;SoZiyE21)W=$MYhY~F?d%i}M z_VRPe86P$T=D~SjWt?gU{7d(1(OYjcN*Q^3!z9H5wkULhG&tORN(pA@D+GzMy&5>a zt`14DhTRI#pDBxp2IOZ}JGiiw=M~9rb@K5FS>e(7@9hrGe8K2QAw}h4ExXldVq2xe z6%V-5%81qxTW(dbn~hpWC-Ux6O*#r^I5B~)Uu|OV8``Elx4>HlfI}iSaUCn|iIbhs zyD;Y}{D4$5Ey_-%F`EXXN~b+g>%WTdS67VQQRcKl5@ieW$-;XeECZmF8XOoRgH1m? z9GM%y4BOH$P@EiowHc74(b_Q3oJwQi8}Ovl-Y^iIPK65@Af?pcFfdIH#1oao3gp zHA@gm)P>%a4Uj;ZL|QR&KX9TgQ$b_3KkxICg3iCk+&* z8qM{i^y}yeE{;?XlpSYfkT*S`4`{ZWU9bt41;)brB+58h+3Jq#A^#u#cm`pu2+f#p zrKc-;8_<|5ZQ9&Gdjiarj{OFtdNyz~CK~2`I9~)`n3!^#PSj&d~7J3Z*Em_0el4W;`4uL)>TVYK}o8F1M zHeDVg?MX@EF&cRWo2{A+xU>1lCEn15d^G6{>h)RSx%xq3FC*0t;7<}i&&ko-<$l3! zuA;TirEkEBKk37SrhQ@LN?3)f%EPugIC7ekT}o+qy*rYW z(_xzSagPKiDqdnK9_}GyZw%cP1TQ^2IM`5#J%k(NcUmptIz!x~DR!*!^+S+|5Wnz< zwCQdmI6FwmZ9!ipXA;R|HI%1$?;}Jll@Rh1TmI?lz@>_!u604`D@_Y>XS zNSz>R-`LhN`;lR1!e9}@w*?COpA*P2M;YF*HY7n9prq2=z|a^<^qF*s(*P;07KefA z6fF$$z0yA6y{;7lrgYjH2BJrXUAP7`!?!gIBsf!XAP%BrLojGf$0)V1?d8)rWlNN( zPh;uNAywcO7pxb#M=fui@1FtxC2uWx$Z_x>dC0M^4x75!c0tw)g#cS#cvp>xS%HNY z+nG{j4IX)NU?{gQ-!KOug`k1@*r}7HNLCRfy5B^@aP#AT#KCDiq11t^Lk$gPWV={l z5mLsmV5yahE7S@}g>W0W4q~)uuQ?(D6B9VQ9x-Q#Ib!cfm08F2c)9FC4ma46#X2#8 zZo%?bQKXIA5KxvR6bC0pkp`C=oyxFBek0tB&%tpLWYRQL;>eVABA!HDDm+kcG}cXo z$gz~+CIVtHboLx=XXxI(2$m#9&XI6M9i$iu#N)U>Mj4h7m&sTiv5mWhp76PNsZl|I zp0I)Q@oE(~utG_x45TLs;VgSoAOK@wrrR#a|K}12IY*hCCOb73eQDBwVeq;GkJAue zPo=sT3@}n|co-NDsX35K)EKAZqpL5SE3l7lrU+xR{H*z__%u@eVuWhqlQZ6_nWiKs zwyJNnxrj0D=oiPJ?Y+g<69=mRt9>9zJTz}R6W+VUIUdBHUAGOyl+qZD zDG1!Hf_nuHrTD-x3jBm?0~&4^rODttr4BMwkgr4cfk6G{ zJI*jXWc-wnqeK1_zX`2a4vHF&jy?lt59bc?bt2GIMV?0}>W_jtN|n_%Uc;wCXIKe; z51lP9v{4un8M+jWHF8=M@=zqs^g+;Nj4(sjnAAEOlvE@9MSKUfyf8Z>wsz9lRh%nC ziZS7Wl31z9QnR?VQe3@=A2>bQk@M- zo7%wTFZ75ZkV8qT&A5IMEkRAs7-*tfxm!MRphk0}jJMIexDA};8zLX&{fe+zwlyQN%@FkVkv@Z-^RpdkI9|k` z)2l;{iZ!emo~;3wfx*i6Rv*h+j-sDfc9da<*N`jF7=9|v4GfK;WQ@4Efic8hC0xB~ zHT_nbn@9~T`dZOz5dDJY|CiLL>=uic8Nfw8^oMDH|DiV#niNHlsY*) z7dMcZMr*DaaKxdV&^$7%Krvt$zO7*(IhBTFGoVSQy!$5L}Q{EfH z>ruefr{1>u0gpW7_mi&lBcH zs_(;}B!=xuQyI3;aTUX`{b`Ul5D&9P#4529nk+{SQP7US@c3VxuZviV2uiRqMy60` zDG_>ixt0q1{@lEse+x7eDp5?hR{|G$&VN)f1`mxae%?!n&hMndaKb$zigcA z^oHxt;iIv9#BUHuIkHL(6EdTxT+*HSO3_4bNQ-0yYMFb=n^oUc)qa?kcS=1L&*P#V~L`llJO208YQ{VIaM$H(N5s z+^^Iyy)RuY&S#AM>h&=UBNyfHeqOXg#5jZ{gBIAp>xLzD$fH)S82(I|79Bb%VAL)Uipksa<3=Ys zhk*9F`b9p_pZ(MHS$d1Rd{bKuH^2}7F5EkP@G6rfqUH8ik4h7Ah&5o0J(cDLhQ`nlPN%XS z4Tw@|a2S{#9D+L-kPOw#FylXMu1asO9Lj(sr3QzA>5*air2)?HZ4Cp-gF`TG1BjuT z8D{)9={=ZJ#(1pPj`rjA5QDjEJw#Uv4pZ`e)^>JiM+<+AxI(&if@nWR67R}AXPP)E zPMi|QhIlAGRU}DYmKk4C$-!#wZuY%Q;ZG9ZOY@`3_woQ&F?=tNLp9?RA(dapnh|RO zp<6;+91dy2fqm&;J(FCCQvmyD}1m9 zMfhnDN>?jYF2Q3Y$0mVA^6;e!Col8SE?h;%?kBsn&10;;(B{Es(nhJVOww-~YwaPT zDDxtuw1Nt!BMrxEXl+fca#XCLjkw9kz)Y_a{o(718Pk>Hhq^+^YV~z}LG$lT4a!Fq zYoIjry)6O*C8;#$!k@$AC1=afXFu?ou0}m&ukAP-_|rnE*A@(884%MJHg)wHT&AG* zE`M$2@^bZsD`S=M9q)XT%(o&8z%B3m8Zxu4=x0xpKZ$S>Gs* zp~(2oWJa1@skNsN&oP=0VEFySRIneL3Y*2v-EYAYAFs9hG#!$NfJXIi_5t*XCtms) zOM-Pd7#@Wb6I%&KZBWA$Cj(x*ff;P^{%&qRNf!1dIms{asZY{7E++KRrmN#wgCP4<-%GS2vsKTt#=hs1)SPn=PflPt;}`b`Fz$Z=cm>_Puv znu9)-23Z>Ol}>xHv%L=sL86MEZ4~`&(?!nYs`++WR1>WOKmt9C+ zGGV|`QnYnkFhu8;U#mefKF7xv@F|MLj5zZ?ympK8xG7joSM%^eLE=dB@Q_Xr(06d)@G7nk*3RyC z42cbcR}bA3=J@}Ma9S55>@E|{0_`f1mKk`1XWN&31w3E(_XC<3<)~P?7dTik5Y-r{ z-b?L)v1>ZFQz2LbfYa$TI1EfUT4nFcM=_^hsAe4F*POkVNo9}}@wd>V`u#h#NdxkV8~zqHJO zyGU_d0a)w4z^?1YGP{=L+mv0I$&-^xt~?6?Mn}Nt1RQz89*nR}L`ZQd`=)$lUBt&> z$j6`A#t~=rDYz&$YqXVKfEE7C7#Bz2RF<)PE=O0J!Q9}DMx9M?-h9rx?9GP!I|IX& zF1*O+GT_(rG@Dt%|8+aW+v{UgY?4ZhXO^BJJBo^KmZnZ2Z|O`Ek=(JRahxW=V;T!f z$cx9qpHqbTF?Ai8eA{Z5=%sE|R`;^9h^*Mv{=MPmp~fbsRjDmP;rRkADZ4GV3`urm zj~$Q9$r#D9WsK+e8H8*7@vz(!&b=e(mbe<-v?1zG!J}DkAw;|3fISGmGpFx|ssoDHYA-_mZg+e}$I%p?1pUcfmQ=R+*?hWHQh1uC$E}tpT+nL#gTw$K- z%uLVb=eXqT!u0GS_q~vxTbSXmbMu9H^dnlz&CKL+V;Op!&KJbka)m|QI>s%EJIv5G z#xR{<$js2#=g|EE;LT6X&gAEEd=FY-Hoq{xNOcxwBs}?rnc4hehI_{aW;v>po0^}7 zgkl^_&*f)l83)saxx(}Uea+#`{9H!BRw&G%Bzm8j0b=H<_4(Pk=~-?E@XX9&JoFAg z%x3ue%~nJq`FU;~ zm#KeHPg zWNIq6H)^{}w;Z_UnuibtdpPq@tGx{~6dQYSTI$1mEz%T`A-u{+lxnXuXdf<);4dGe zjAA;E59iAG-W4uMWCmX|hu^X=r`PMpu=%xAs`(G{_Z@Lxl)J$`ZL}MkJsZHeKFC%o z8?^~8**iPNW!;C4GH?J=oUOmYC-xjal0V|D){3px@goY-BLwJQu z?)JGf0goCFKXerT3(-NpbI}+1=!-)1#dP$=jDCTqCJzqXgrj?ir$zLMarWuF^e{+4 zEPk{Tf=0tGJuF#4^u1&Z(f6P;!6%|0B-haI@e~d!GP(#RXb^(S=(=)ng6Blv0~*1C zx;{vb6#YP>CjO+~;)UzJR>0N! z?fZ;mpUrsT(y!0Hls|d)+j3~dlZC%i@#N@lE2cT0`1@-)T)p2q8frdUr4!{n<-zN- zFH`%J4sXkWb3bIo+j402Q*^woco8J8<#6?W;~1!U(>UTGcwV3VII}Nu=&OnsvGlg$ zL3kjfzAk@?tk-h5dcSon)O^vpiCi8s?)Bl9nSDyUx8;*KdI-RGDxUK2or<@0)Toz7ZL}M^Nlybi+}I|PJy#)W zr#hSiT6w&5LSj6LGwjPtc_2uhc>B`NJNu@GU&8hH2;l$aj@JQ-_0NiblQ5lTDe4K+ z37Q9d{s57HgxLqU!znn8_i@F*X}lcqgy{^&0}Gr+5GMiSKj0=t&@A?Z?l?wL0APW_ z;lyBa8Z@{jIDp>|ApSt<4-iR{JRH^g0GT+f68QFn5HJ?L^SB1N%W+SLic=hb%xUPM zLCgd6!coI8>l5&#=;`ZEn9lMPd}_LLQViG!)Fm*MrXH|%IvaR;23ih1Bd`gkPXY&U z_~VNVl(LU8pfH-_A3X<5O!Lq8unfVFPnb^fEGQ<^*J*-*F`V8B#~=e`eC!YLe44^J z8e^U?9W)L2z~hS;gMorFttN^g;M?#tPcs12A8%wRlBJ$7on(0Y3Da57ZUDx^7-4Wl zJ;sH=0fj$W4o5R{82^OnG|j@n$taniQlgYe3 z`_i^2%XwQq(fWe}y{&-GJowSua#(Or_Vii-SMRs(J(T|BXRi;xH1EmX-j>7Hp3LrT z#k3r!HTt&vg%Q4%!`1t(`wFE`J)0Qk>$9JPJsimneDrO_3s-$xK8?|X$$nMw!gF6M z;OhP6y#vypJo@$7XY*b-_Sd`#-_s@XR|I8TnTL}M{u=R&0`kt;HSQ~K4hYt@-4pZ^K zK5u?J5$XF?@P;3I>VcWwf9hdfeZT5q)P29|VY_|5>Vd!BuXj8@{G*7{;g>bw0{#4wEk`Q`?ulm$B^3}ehYl1F|5Z-KDZ&ph|rPoDcXo_`5$wLgF1^!(qMp8x&$#ohmUgx!~+ zX7OMDH{Lw_!(VeDcJ=$oZuyHJ{;~^^T#wWD{y9XN!TVlf&tBj68fW{%c$^OFfgoD{ z?nV`uJztLf_#*jZ3jCR3ZXuQO8DjL3&-ita(IZ@PIv;jQdwB%OcGK<>pYM15$jhvr zp{)=%`Y*BxpCUc}g|-4F=|BBQDKD8KU((APO1Wx4X8-j+`V=7YGQ*AYN-015osWmp zOb&Ahb^h7QRK0|qe->>1a_dVd_{*&?LFZqGn!ko_|2m=Oe*+={e+K(UznpsZ5?cOM z`RjCiRRv@8U&0vuvOt`dxbpw*Km0T@|Hb2x&*=Ss`nUo1$J8X)1Llk9`sZOeQwVkj zO@+bbDYF@}oZuvzX*(JFg9|YV z5JUsNz)oin=MC>Go^f{1uy)_BVONz8k3_GRZE0Ta{qU1NvVZ!)`C~W=2)^UOHgnS{ zM~|%LZ$8E1J+g)$13M)IFMlK5{5%f$H}gW6#sBIJrN0+B{?0wi-^h@E-lN~l3;)DD zdWi*te*eu!K;;(%@L2=jt9|EdU*?qkiUg_u;mzRxQa1CF`1aqwuBVrYd4$IQ>t7M- zXRUvy@>e$gcb|0r!X93J{lpa>;duY+Z?X%2^Xnz`Ss&i3eWw$@oPs}_?|<#hYW>u) zAKuoy^OaZD{uYc(d~cEnpUu<6_ufn4J^e@u@3+p+?C;*m;{`7G%-a3O{|K1jvY z>jJla?#u}{Jx*Gfa*N=G$MrLh2lA?(?0iawek}4S)@zDM|1#b8HOJ>A>Ge~We|RYY zdib}X=Tlo>5W<)1{;z$Slb6-=S;?pOJ%;e#dGn%QiwFE4|Lvziduhn8N`8I0??)T_ zk)S?n@Jq>;4Q76m4gT)ep1jW(!JpuvUpZ61f1#1hw7)rY}`5DC}z>`ik{_9U#h|U?aO1-9>rqk9&Nk#C%vz zd)ZA%C@z=kH396&^?3{ zkjD8rC~oM~Y3({xkUWGc^73w1SyQ1-S~zG1&-!=ND_ryhA+JtRBo*qXkKF((&>HHW zmtOGQXAJGxy3bb9?|v+S?*HRAl>VL=ednHUC(ZQN>FH-*{q>)Dr(N;ocV08Le)zr5 z$M1zIzAXGS(Qj}5{rEq5)8`-Oz3~~gqWIzX=P*AH+kgdq0?6=}UrFm_s2^k|GkK=Rq!C&K+o(jL{9vx$IcJwJeyw#Tm2Kk5Gws7inIGxDe8AOGaz2G>B; zHEg~K6g(+iA9dRgKY=j%pM1XQ(Fup)31OJ7oQ5#$$Ux z8|LU<)nH?UE&iToBLWksK0MNpy)U+r_=ySP>s9i>ldv^Kef`<Drx|_5BBp)68N9Eaj&!g!=K_|7~v0Z=;aNenJ?1i zcg)vMJqYc)HxK?=g!YqHLVNk}gV4VJ^B&<>di-<$)H{RvtI77Wfq5m{cjVu%-iY8Y z{gqD}5x_nuWm>?F-pr!uWyQusg5>VIVLzq@n6$25NVv75nRlAu);75T5R z%YgQY>#d%~^Xkio9y=p^y`jNlm3%)fkMAFg=gWu6sPw0u6<)R%$UusJ|5EtPH*dEY znBu#i7=Zo~0?_}jK>*)OD(_RdeISr&gShJ3PjKbCZ%z~2_+>XtOz0D~0TA-l8~X1b zg9@nQF|I%TFuWAN#l(mH@T*-UzU|?zpFX(M_Z6JK^M?>X_p2r0a-shTk=YCzv>MWae|Tg(Z!cH zd;?tO=M%^I_O+ou{qU(#KmCx}j-USF-=9jJcAdWuTXMYn%qQA^edzJU$9nkqRO*L* zK4Jao71g!qzI}n!=3lVGpFg+2`uRg0`U`gG!|o{`m+D`z!;ebIi+KJEb~y2)|6j7h zPXPD<-X#Fhs}d#8y~4~?600PFhq5R2tDwU5H7=?O`Hk5kO|*w3eLRMoGQ0Q$q< z{r5iF{3m4ffuXP-vV5K<1N_6R_p5*SMbk~?-v>~y&(%YRZN;#d!Jpmnd|jSHxQaUX zA$p6MHI?^^W0Xu6s(Dx$(&6L~7tAA8!(~6;S>~a0L>_a*G+IlS)XjILLr|j}pBv@a zg|>9STuEW%fv-QmSI+q1GN6_fZ29Tk3v<3UOa-p^EBw%`y;x|BSI%a0w>+oIy?&r_ zmGnHaJ9_~uabD1rrMRCj*I{Ap_iD0SFQxKu-X3DLH}RD~;@W&KbDCO}l;B4frpRaJ zx#G!kabC?2=lyk67R514!nL_yZ;s+J2`^=XYOF=?*6Z~?*=%xe3|iV(`glWY?U*y- zIdFEPG@vF`U&Waft>Hhp>Th1Sd|a;>c{Y`;BU%g3`tq+C8n-Efg7IvW}&W%N9R9pqOiibr!Q$l8_9&0)IY>Auxr zdC9D7YU~DRl17w1v`uQ4&iCidY!Oj#&!(Xe5F)FLOHV$sOvGh}kF&ERipO+Gk26RC< z)=i5sMCTdlF`i|`nI?(n*Do zHl^@vOv8IJX+#SdDTKZ(w2?<$tT_0wnmc5TYpk=R`=_y}k32xjN0`HAtnN){5-Q?rx3O9$GakoJDOuaZ&9$8Nu$i9*jR zC`?m!>S?!1^aNcm=b>#N_1JOJY%vShGef31^k z%M!shU1ZB^aT(}~ZqDxWsNa_ik1)GC!?mYNMbM5UNl~qHXzuHDja|=Y4lAhGIFFPo z;4GGFU8N@*PB!}OKsc~d34c8{FpSrmC+usH$d!4&GF|pQJGH0N5rYkmltX@PwALk8 zL4-A?+?a+zpee3Q{&Gmk$3HpMftr~1j9E$kI)5MQB?S8)#YHz5q zRUK7H=+O*2y8-QIc|K5=Jz`coeY3OXJ>b`R%enBP=W)y0nAilJEVIoW~=24X}1+Q^jnS7{B{|q9V#48)K#V!HQ-Nj zb5m#+6Gl4@=F8H$uPnK}5%DGg@e}~xM)L;#sE9`fz&)qAs3em08abxW95$3eU?&2W z^)+d=!n58AO`oh89l4ErY$e!rhC5E#Mi>0PB?!yv;~cdX4MLk*#@}T^zqBsTa@*v% zMOlGV`!z?p!u}p(^FW5QX~nu+b669qr$^Ok!MS5()&{DmOiOTzr8Rg)qTL}jadg*g zr~}X;H)B>SodDUqxWxyG^PL@nv|bmUZQj>xhGC)`^r*OP62?6$zAAYcV4Vu4^)%}_ zS890Nk9uA3q&>C(BHhk)7r*tFJuwd{AvGOkNV>(Q8OE7HwskLYTuoSxXL+-$yqS>> zRi)eeAws)*$FY|lMa&vm?y3dNqH2+}%a9sb-W3A*oLu~Md}9m0{*h~!Y8M`=pYv})eeJn-Zm<tjl`(k@bPdgsAp^(^JHu~H7yk|qS zZCemN1bZGlwLF(+#-{LjuiaC1b6l7SJvWDLH|#XIqLxl8P-@wX!L_nlZhNKA<8Dth zJ2c3qQmh}VD`*qq>C2R1O`){;RPvQ`{sh;{BEaV z?4iVPSzc2dcWyE}8@+Zc*Xa?B(-cS6k(FM%V!t6J(=>gT!^Db+h?Ph(dpp@=m!moF zlzDOyFS?o{8{fO4yGyl|7(TnC1!3Z@931i>;#;P^HOAF|@vt<8nXv=q39aO!>v_w*(}xlNI|t+JL` z3|8^><^i6eu4llaeHu7~wm9_ddW@RH!}se57Q#{CjrGYKd{@F-DP>YWFckQVWwQkiI5>1_ zY<|5DR4#c2YfCdWUer6#15Qi;*p|&bnekA%K_lBoh~;fg8uN2XE|5mzLg&()H3Mgy zeWmf4W}G~d_Lgf@&JzEyy7+4oMeS=9Uv7AEb;@}}#plKBY`DjqjS;|iz|;yE*tZ$j!+0-$139Z9vO$ja?eGe z$29A{T~b^}-%Wk9)w89353VTck(P^^Je;s|bklm3)a35SZamKPERCqrJLRR7-Qo0Q z*tfTNghgkN&W3Wpydsz%xrT6255;LwH?V7USt^D$F4pZ0b21&buNNH)VQV3O3<}k) zNrgCNZp=FVO7M!MnS`OGN!5@XFMv3zUAlD^>)V-4Xi1Y07VU`EXJ>L02Sb~o_oM~- zZ&ZJi5`&#Kn3!MubFUiIDWIeAT4BT4ZTbAoFxjP zVPLZ_YOwnPB*0p!Pg{xC3OT%;{#7rM~U97e3UyXWG_46ol{sWzV0hbl$&jH zPB+IR??jZkp%Em@2#4qW>W2HRc}t0_dtRwR&6?yKwd|#?@Uv{O6Ju52VH2#jc1e>* zdz7XRx{2xcdlezKqG_tlNwN#I&H;hTj*y;N_0ApRF-YCo7WC^1G1B^htE#x?gyfVz}qvO8Lw5NKSmxmP^pJ$X)M>@uBFnk>>h@ z^M(1u-#C7^k|d!9j8V63nEt~FCA_!FbsaeWemR>3C<@zjB!qLgdrfY} zZ4mec35sDGGf1|!=2gBK^q%KE^L)pVpxDBizK{K(pj=ho4tG@L?}JrTtA1VMjeDmn zWOsK}fnGV5>K{PI>L(qG-c_DCPrUxNmge=kCnY7nFUDqmCqpu)G5f%B6O9K9o*;pR zfxdrokAyf25*kQTN0uhbY*meG7Ql)&H8I+tOYy3cQBCEDy}V+$YzIP-!a?`QBm#D& ziUIiJw9V$U=lezGYi2XJ{!V1?ZL2k~-387ZlXBfOcLwCQH}IZrR)i_98iwOAY6gn5 z-3Kr~c-C37G@ngH+@PhJB`B%cNblHKOc{^|`wV08R4 zT@(9*w2YP&(F|L1XU{3dhuy@`JL2Q}O=`*L4(WutXN^Ns>2*-g^`mD+I{}f#XeLl) z7UImvFI_f|QJuOFb_Mb@2~OMeI07!(yR(~b6OMWr`CgQU8;t^ry(pRM;W$p4Hs1<@ zK>L-33bPqGj^oMWxGKpfcm%i_+OFSLTHtv-8VXAh24}q;Xtym1O^O?j9}#&KF=^0} zOzBu0f<#x))%5e=B0zr|`KZszv_t|xDM66LabIBbXpLwWR0F&Ob_?2HN3(DSR-|q} zg8o+xfJ^A@9kv`9@;*4}tFXB&W`}x?sEd7lP4Ln3;+1xo>-qrDy0VjIc2M)E2sg?? z(h2l7R&&DhkxQX&8f>AmJJr-#(i!s6WD)7&h*3?Jl9qRixM|s;KEh_f>tU;7>@FYi zHA)~jk>{X7`7(%&E5^*{v~T7K?SnyMHAnX9-L8#xM$6cpWGpZ+yU`NjBIta-Ut-V?0=w%vZxP)nY^7OnXI0Exq@;fE z5N_qI8gaLmL%%;0vf>gUhEL?4Na8J2@^OiV$Pi?0r~?QTPd7rma;?#2I$|+IY;9

yRCl1AretHO^&E* zp4x_rcD2+%&CSydSMp@2s8)?{Hmx3#$yjifwmO&x`otO(VWk0bP|1}qr8AspJcb2f zU2O@oph6aK6ymU@aNt^d;Cu-;^Ls-?+-55tI~X1{?(mR6^tCT~%X!dqj!5q`w<19W z%oETn+|k=q*g|gZ8R)ImN$My4;cz1yuN6&{9ai|}bS7E|DVGN>x$aI!0x!3Iu9F42 z2liSTV4-WrJ|_93qpTgO$+Ap!fkv~kd~d38Rd07^VqV&t$jNPFlVhvqkY{)!N2^g;T#-keCcL=*lEiZnF=M9@kpYygyUkX(40r|Mu@VpaOMk&&8^^;Q zbd5uZXu?&PQydsFI(G{@L6(J$*ga@KnOK78fD?*D;o4hFfLrq1LQu3H#rRSUTf;P~ z`@T5uO42EC*Ie~GeU8ulqSwTe!YQM2T5pAr%h$tVR@`PbGt3KdR4MsD??P7QLcU;c zXxEV`?iDnjuOf4VfnCqSvBEAjSb*bG$B!bdv_2NJ+@_33dnhl$SO{*DFJ~u;*j$oG z+C&#~lWush(T{{vlQOs~=Sbje@RAXakLOyc3#J0LgMg}x3Tv^_j2T9p-t-zu@%$gMSK*HBUjM&^;K$gulr z7?1t_a5Jr~yfIUAk3@IUZg5VN9F||J${u&naZR>+Hw#UcbF*atdTB!#mtt6LN3g_H zxztX!B~F`%_oi)fHD?m^EH&nsEo$0t^wujBqxP4Pq@Oa4i6e9YMwGMJJ6mlv(%lev z=f#|KB}`_60h7Ds=^9v~w{KGAtO@mIeP2+atVCMMdAP;FLI$tgx{RxKx%CZNUPi0r zj+{ln1C6}xX$Gy2<$1W6>)0p}ZSXZupIwa5O>adfND(g5qc!J!L^w&Y-0szywvEiK zd6aKwO^f9-`HCJ_Rc7*upOMA9ISf(dp*j@Ep`rwlHNk*_Kga5(4VMfoThK)pUiFRtV{fcYND{ID+4V>$m z<3NQIEd!!-hM+>(o3^+7d0mkL;EK?16W45`j2imGfB17Fq-`?-za4f-u z2r37>Zw9~~9r>uY@Qn2$65y%Z+6T~cloP>vwcNsqMhEa{G;VS+G^@H&y|CPkF1xGKdP zO$({|OG5YNz-)a7F-mz63Z^HvqRV@D=kXFcZpZ_5xpESI6f3SdWv4*#J)Rb+gK)VL zy5Td-AxV~})g|7KJ22k{BMOML2Z6SVN@$HJ7}_o?N}My#lq4R~%VBw3rkk5jUWnaf zM|8llX05??ZFjD(iEitkCc3<2m+WSn#%ho1Es-@Gn-~I^p#ehO$u>INSv#Rb0|)u1 z=VqFkg1=gwysXkAsz?>tOhswgGz`6>SDz5($K>jDyotl!y4BGvN_t&w}uo?ZMIj$3h?m=n$U%_ z6>-0p=HQV66LvNN%LY(R;g*I;=DgS=I2wS}-A}5m&Vs6);w542SI9voQfcPLuw-Jb8!GV8OG3%th;RD2@o;m|Cu6q`gxCe`oQL)`BZB z*;64DpyuiAY1t_gezsbcL!3hko+s1H+q%_i2Gt~KaO3rMmB7Nk?$fhMs}eoO#7uEX z^3<~?ig-qXschIBO{dX3ROCRT=9PR~oK`~DMY~u|x{NcREE(2_=^&%nwJozGcf<|} zlSjKf?|gG-NAY^wj)uk3M7cH6yRGV;H(o7s#d)5`lPeU4Q3P**t)(l&Cb7vsNiM3Y zy)(#sc3!1=sZ6}yR+{|0x#p)3Gbu2GN_QV=Xq(i>B6ry_$7+XT!SuA7vDnT@hMSS_ zM(hAStVB*h?@hn4N!sO^Q_eBgE@*Uh;<@VusIOoJ>bc_*=n{O6+Vw~vT1+8%(4ss| zjvmRTBRDD)Rcl$wf|g1-IUmQR5>nuV5@gn98y7E>Yce(<^`zW%K2^4vvNl4Qot%aXN>zJdO4(a<7dM< z5}Se-f>XLkPrm9yJVV@qy}_z840`Knn>eAfeRA4_f@+Lr3}GCteS$*+Qh<}7XCDWI zKY+g?IH!P>&-m_QDDiqY?rKnEiJ-)8puRh*bY1V4EV#tvD|pzFJHdF{YS&zCUKrGj z8$)LviYT6qG2QxTk;It^4bZoNj8MU_4Izepwucd2B6&Xc+p8*XaBgcU>`KAJ)?8~T zi(p}b8j?2$e7^y!a3Q6+6!-D!jz`18FAcVodtcqaMgabkS#|*H_{`-_3tBxTNqd2Q zpN*?!tWKMbO6v@T;O*`^6YN2f>6L7L;N7))a z*+MO6XZup091zMDx4OSyZL@Z{W?2-WV!#;$ma6TQm}w~3ylmiY^$gbCS@I71LyfOv zik+`j>(*A$k-B8a6;bwaEP;{goRx-kGI-Ed8no_sMlcqTpKN9x5u&sZ_ts3_UAttl z98**?7P$fVR{~pXRpGvQb}#Wox^^p9EH9Tk-v^)V zK0dYdB28i|%L&0QZg>S=R}PK3+itzc`}`Df1!Egnxx6K`X^1x`=psy}?|ZQ5PDmS& zmaoF5@8#lHqhh_-HbH>tdUV(}sXy`Z-UfSx)Skf3Jcgv{askz{0%JSog{tSlwf;KfFAiK0$lxUGa-hmhRy7~k6{8oRT&(d0T- zsIDOs5eRG1G4TRzBy1sZU`L?X!FVV%k=OXx>>vA>u`BGR;xS?73F-9A#M=C=%MZJP0nxEmY%hEKvdiTqA?) zf$GCS9M!3b^z)M494TK{Eg=rWJ-NRv2|VCVn=_g!angoY1eaz`ggaQ{i&u4br+qLk z^K!W@T%k}`Vu$u!>}@0kAI8i=n&mFeuf^$fX~it07YFGe536Agj=IbR3yGlj>14N@ zXS=}UFpYrF9fr_TI>dlO6SfTFMde!vlWEPKbwUJ1*jVOWJ_p;l3N{sWADDx26IpO< zZoqzyh`4C^h)sdiUhj9fi2q`C!Z2w&%x#haYCVCWX;ACMux(<%fWX8! z!p-VTu-S~WR4$fr=A_{7bRo_vnwLjQ7kDE;X5d@K59Nvh`(~^WwWn8Vd7aNlz9sKS zyy|!#+cRLOBaGf5X@8YX`Wg{vXm|1YJvoE36NY7zvze>9?PJXy(_MHwCx_s;NOt}q z?^vtdqPj8JBqu+N5-@yyc<{C(ovb)N;AivPE6#}qNI8m+_AHQjYTqI5Y0fX|+q}g< z_)`tGLNhX43P`@*F4pGJ64OnI(VL`7FS($O3o?{@uoG~gLXk^L+0yxZ!>i1a2ThsV zt&U~XW`NiAE9H>9-$bI=7b3!feX7E&(Jzd1hgkSvVU4&%P%ne(IyCOVIacbDzPpu*D34mODd6X2+$Ft zOgN(Ej5EAj^wE=eLMyxA7lRdn2XbDXE|^NF1scmukGQ5=T!iFr)*9u#KUL$U137iHiQ+BJ7S7Jd?&6Yji zDLSEZd2C5E3&B=Clj4xOUmkei3f8i0wJ0LB>5WCNNQVY++|y64Hz4Zs%VwRe7xRl_ zQ}b$_yB3@Z$br;G!Qbp!s9yr-=Fq*p2v!K9uw0G`elr8cXdKREx$2!Y8{p3DB=7@- z1+8!=V0O!hx>D16m0bh5lKmxIsi%RZLDNtb)`lRp@wSWo1+48D*%#jGO4n9FRbY1o z8yuz;Ko6PSk;wL*MBC$z0BOH*iilYis=fE=4M~>dPNOeXhk!JaFRVKLWK&y;56b|7Sm?M zz;4zDkO>5}ZDdQ{j1icKwHD;H$%Y7q@MxMPf!Vz_7HcX zC)RB+B3x;iVw`P|M&qtv{0fV6<`&iN*zNC)5RijDNF+*d^A_Y!(F9r~JYE;h3j$%f=EuI#!s z1>P{7zATSYl7hbs$5HA4jtKX}Pqd#%CL70EhI^nFn2kH}tWis2p{D|3pE@bh&gpO` z)roLh!J1h~EBUmSd0&mTUbq1B40aT4S3Yg&^+CMZv!ue6ZV&{Lbq5S@Q4IXRSGLaT zQy!s}q{tijOt=Et&kK#)(m^3!k;F_;k%jn>yAkgdDlIkb#-sI4evI{X0lq?JbwJh^ zEn1c_aXD^RLZS5Lr5zA=Kd;5qZON11++E5X18q*$SN7oEs1TIbZLf$(&CN6ywNbn0 zu*et=#^$($kg{!(`TTBdAY5)|4hMH0wl~Vid+an473l$Hz}36g6A)%Abp>rZ0^9IK zt5*lX+}#jG_rxnM6@a&p%W)%$<_?dnYkn3N<-BT$GM9CmX)i%^lqVh+Xd`I59j$=- z*}Pn8vKH_I$ltE=ah-|QbF!RbG!Zks7%W!ijAzAw@8fl>FGK$v5ugpDXqQE1g_uj; zFe4FkNi(^1u876ejaD|Td}VF{S{>Cb1l~bR<1IVK0YY8q`4}@QA8alg#}a&ceHBZH zgQ|3MU#S$ZOte`M5Q{J)0Shfa#OJ#p3s1CebP@$1=xF#I&F$I+(RAmlqnVv<^(7FWpZKd})rORuwUG1c#SjmnbcV5j*x^dk9&y7o z@bJU{Tq}dGV}-gJB|rq<3LIEz2tiwXch4F{PnU85K{uIX6AEp~fuN_?lff=2vKheU zd)cK|g{hm%FnB9W)J4NFk6|){|zg+H+=mVj!@Ipp1Tw zvWMBa3-o1lH6a9HFr)3^V9CuwDuok(Eyjk3N<|D!3Z$tQ1hITEh?_%0d^p5`%6&Kp z)dJByV?5DI#!+rMYvduQ2E-cAIfo#I$2LnPy~eNVfl2Pm;d378w}LIrGl5=N$0Yy2#lh zj@Wa^2+8)`O}Z7RdytZg7bq8q>sg-y(n+$sOjZefwFZ|@)F~$*F>YZet>=(sf`O;} zE_0Fz+;)`sZM33}SZJ+XLbeM!rloStbjA^QELYGYzu-(7JZbtuoZ2)f`q7e>t5wyu z5Fv8ANzB2nm+ZDU-mS8{LWCWT>CR3WP7w`x3+B>PR5iG_sotGKZX2aXh_briU5!e8 zd*?T37*URJp{*EX!#s2k=be#k?|YZUM^nmh$bVS7TLHa1Vy0%}Kwb_IjZ?UZ9-Xf` z#PLu`vz44)%fg5bBK#;f-9=n_`5H#5(pD_QAO!IK>w0y}x@NOcb!tV4jaAn&M1rB-zdn7n4fiRP!4@fU0pd=+(`|jC_-hMjJ0zUa`v| ztlu^*X05N6i-@U8HX<YA;*_bT>^fVK(Vh9xVOOHH}qnp&33%7+i#-+f`E81SWQ0YafHy6 z#Vz$MHo6T1BOedPyWOw2uD{5daOr`h2{Lfm&1MNY%uUkc2tb>)6O-dgWk*Vm<9J{pricoxqy&=$85=RQkb$UF_n;`Jl^35Q>89T!Fxr4^e6FhQrHU); zyj9mXR)I~+DX}sh2h1zeNvwM|tIgq5 zcSt!>=^jF=2DU@`;jrDix_K|~Y}=>W{i3YtmrC%Z;#S zA@~MdgUIDqC9X_Gs1Kybjr(iAYsWaaJ^M_gVZMTRKZKr`WT9bm1=L;e7H*1qeX_zeX9SCjfz1%bGo#C>;v=NR+?Wh2R_PSuJwl#b zL_AH>5IhJ`occD6AYLC#(wo@~QmnGH&ki&LXR&V=U3F2xmwbXellvj@ArI_|-ECe) zryP`#1}h)9AWyXcR^m1eX9)OinixDE94>9w5+kjJ2~UA~ny}-M6|bV^O*XXn(4N;Q zV6a><9B`{kncP5i#|tk$RZgtBh+^xvpSBqUh0o4zCHSqj}j#09<*Bz zSDN)8FG&Pq+J)YaEl9bG>}})bbQ6OwNG@GjU!M+XcRaNm5xZgQX#!~9@=i{?<#-cj zRK(hGcSJ1(a`&X#%u-?(E&bu4?|RiG1HT1!!@<^Wg4&r(Ht++;O2`qwq!b9Q0;Jhm$28A;x5}4Iz2Vw~Cv{)F`p>4{4^u0+{(uAnNQs+;GIk z0QUxu5*bgZ$1Oy@)U54+#(pQEO}~(v)%qsS zsDuKyOIV8KZdFtI5^|t++EFX8c(Cqr4}fd1FOo&Cb7RWQVZ)?e!0 zmpU-X+z-3qI4dev1+kcjz5;<>5jdY6?6RCmeYKfm%wQ?I`6Rb*j&e43{h?$*PudF- z&n@P)0dWe5e3*0y&Y!^`%_-{A))&<>vej?^oj&Q*Ekt$I0>3j=-U6Sojf0&J4nw78 zg;BU*(`G>VY6JU3wab%IRC08ut`N~cQtI6HcJkR=VrWVkW_ojk{p{hFz`>6>&DlyO zxAKCzanXFa>yF?m43U2Oph15*v5i$x4%S%>hb&+dU7!;Z^tyU_W(z@UR%Ow6uRPYI z6T}V!v2D%@^s;l8YpuARFf_hMwzA4pjU4RRh6}g6=^DxD7Ow2;3}ShJ$WR z2ia}XJ?zAo-Fr`q)neJrA$~!1U}2D$oUWbKDt1js#q3l|wykVmRa2DZ>2}@LQC5q0 z{k&6Ge01R)GZPQnQUG4d-e`Y@gwz1K&El{E8ZuW@+2@0Jo6Do?(UXsGikomx@z$AB zVR?1(E$?Wd$R3*I`L-v#tkXvqL5xsR{Q~kUI^?)L2!jLkliQL)<1<7!b6$91#|v)7 zXK~MI3^wmH1A$~v)k3i5p_BN+ezi(?(C608Zj8+xkpW%=%WW*oAlO=}_g+Zf*Iur~ z8%QdNmM)TZ>bh*Mrnjo^h;Zo`h#juixw#%4FptMeE?I+Ks~y;Xwa5jXPFv=D zUkk*s@tOO5yT-R=CO{mWdk&qM2x))Eb$;iCB!YHF9kd%s4d^IXhJYUf2_{~NO};b8 zk3O%*^O%kvLWnxh&DuXen=y7D%pmP~tyUeo!mktV13Pt4Q$&7%bT>|6ZY>zFM~Jms zgH8|LgUEJzu5ep?Y|l%K(t1&YA5jVw;Gy8)0fQ^pmO+<0 zkyDV`HIjQ*K35mAf60^3h+ccxFD(T4=ysE}{tVMDdw*UW+i@{LcBUkV6VmqOeo@Wx z78?@KOUILvxcBAR5Qam)U-vuklG z&sWzFrTES&(Fe_`)(RA-jwwQAb|=A5$(|H*quiJIs-5O;dk^VaW|hXF%lrl|SHJXh$Vc&0!2MlKN{clg)WCR$L!{M5 zxH-vPdv+qpT(+eo=ZNM2Bo`HF(XBDw=>8w}-ZWO0?K%&897O3IOAM$$qy}4RKR)T5 zd;8u~T~k*zl_$FAd7hi3o~vuKb}_c#fsWNCX@Rko{y>NMaC7Vk7~A0FEO# zfiqG0kpOXi=#LX5KoB`Hj2N*EK|$hQ&bO<_b8g@HP@)k&koQzq)!w!D+SA%=ee2uF z)mX{(g(OZ9jpe6hl7DH|NM>8155hs%RZHH6u{~+6Ll3<`2l#uWh`{GeJMxtD>5Zo@ zEXw8S)Qa(2?N)uUAT}q&FU2q?Q-jJvF>BRaX(mrO3%1$JTG>!S(?(p|s0+9^gZY{+ zS*#MLa(!k@*A=c~#(_U1{bq`#Moq1i+Q{wp6swl4ZjIs`Hs;a1WD{Jcu_&nOrq}}@v7G~uHo49v zR)Y+BoPoJI@5CsMsp~eBHs3`InmJD-+S@i?Sm$G~p*DN#CZ$Q!RX^LS<@Cm6%PEz9 z67ld0hLN`o{&4WblxyZ)*`AP+|2E4F~9R0R@sWxCiWs;TOP#9l|rv15|7R{o?2P! zt%UM(82@P?%j4_JCatp~7x#T))8m%#XVn*N+OF%GX~>NU<{KV%DGbq3XkHriMlfwe z8w<7v-@~lWGnfy84*V?@H^(;>d2H1KbQ=U-ad=Q(`2nqv0=0s!A^MGKN8uVI;OwwTHeoGSVSnz!jLL(J=3 zPqo&mL2R5Fq-zQz4O^3N>=csmT02c|90N+SKi`hvNy!cSnzfFu5le#L!l1LrsXZ84rY94 zTS%*#Rw@tYC37p7vRy73h<$3c4eVwIh*z0%&Z4%4x;kuoxw`Ca4Pa8-CItRWD>>$vOuMO*~#3q0e;UOebBH zg;B5N1Isi+;LW{R0*c>Rtd{PZbiboNA!!#Nc#{q3PDv?l)mAarBGkWF? zHc`6UXIsOz+@3Yep_ONt5kcXbS}EEcS%%=Cd&rL$d10~b>9;Ab39=5oKprzE?^ zQ{C~XTdrgPIrBRCwO-T!*#SOsEjAk1WXGe7J;5F=oz*7<(At>hv{Gwp!Q8S;Byw$U6wcw*VPb$qbv5=^Bz#C% zn~g>zTPwFG3)sD2{sf+@*r~MZ-5!F>+;Y8NN1!-`(CrpTUR)afo%K3~z7A>%gm))9 z4kvD~=(E`xxG`Kj0jup5!1}4aO5Sq3%8;Ihegm!1+)s^;Cn56&=t<(!;SF3IpO=DnmsX3hnerZ;2av8^B z_?}j+wny+mr?G7I#LU2oHJ|?=Wo^@91x>=7Ftg+f3EM;Z1%vd>M50UI{+Tc4t z$v1&tz<#C;9U|*5*hNxJtmq&ureIMSt;;Ue;75ZrPVV{CXtC(G9+%nb3ZDKQb94NSep8CH(4H00UD`kt9)u`b+d@^u8%3$&{xu8MrEB&Eas;eJuyHe_O@N1sCaBk z)|~tz3)_bbw>gyr&xe!Wq>F-0A$WK(St6#Z-{RmWm}}#pnj8XN zILKJRBEG?z9g8!yF&qrJYHh~r+IBmS($Mb_=#9OZQ`qLJTYYIw5=^Gc&A7#a;Ga4! z2vb&N`1FM0Iy&r>a>H4-vLZ5y3d3GG=UYre{q=8jYKUBv@C*GC;yx zKE-9g;Zz<)2N|}_ug3F$iGg=1AXFoaEku`~@v4rr3cf^ii(GS@YDv6TFY8gK9-a6r z1meL*25lXC0TVkYAaycn>`kTspkWl2Tk!=rrgW|E1Ij8)+PPqyp{s~_hX11yRA{OU zs)$UG8bZHcYOdBHeRV4_56=XELH8)xYrD=p33pk*tqcqToh=3PTyWD9b&54=IDxNbHPF(DY4 zN@};yLX=A*(1; z%@leFGs^ioaT8DD*f%+Ka869dS`jm#9yDp=02Hz*;%Dp5 zn`O9|)@(!7MT}4-lZcjsWREIrqQG!gF(TY_;Lf<;e6MZN|?jC=F~^{b_U@}4Smj3wi4#!w3{3f;r7>-n;HX$ zQ!PuZMC?KBb{X7hAg%%L7S-Vln>fwb>?r1KGEpWiwV^X0_ZKQU>wepI@H@@F6YiT zc4*IAxz-Xu8+Ir_5ih`+RO1-n@+?QoC1QFWzOkY+g{^2%Sy!k@st+TWl3dKGc@H-6 zT&q17$B5IYC3DFPu)KVJuqY^`jkk*dnKK%VRWoiD(!n@U$@rT}5N{AQuE@noDqUtqL1okvS=w0+xGPpCOi% zONfg&>@v!_FBNF5G)edwFOR=8oP2_3Uz`nT6!WNZI4c$Uxl`{kEU)FYOAyvk} zJhdB(RkRf2dSVsv;jpo`Vr?SR(J%uRHo45ZW^M#KeBT$@GF^d4H4--+n>u|7?!7`+ zA#=-;iRY9URJLZL0Cfj8hgMl%Hfv71HRD>Qvev78q1jtOy9!_mAs^6mIzM4VfM_>K zN?Ky>#KHj0*50~$oWTZli%vf-&S-VLagu!4ZhREJ5_;!Cv6aTzW_H>t=+Zs*~||}>_cV-B0B?nh*@h6R8b`d zt9fC_EZq$SB9)w&aOUy#ctLYM=p}oJ-e>#VHSYc-*Scsv(=HZ>?NiVb)|^Al`~6N>?{j}%*4X6rBWY-|)u zs)a^wJmG*q?`>MW;-EhS8QFBugHH_s8XbEzS|Ol+0j>kLYxLnm9S%oTM(Rcr0-^`C zj@$FVqsBQ58ykE$sLt-j!l(xZ8IwvypZzkk7+f~Wk?AL(JzZxy&PRx750J;oi&E;q7J6WV9=amDugAn+YAf@ z!NF=U-1>%>b4Ec!E-$REhN;$C%(Jl9Ea6D6ubDanM>^~WI@ixlM-D!x6%Y}0(Qi)p z`*gEi)pHWqG8>~cd?RdbQ4q7KAP)c3s?l6#;q#Iblk}oP_te1b58Zq>>Q7f@p$U7ahu4Isg^(tjc;1s_m$5NAean3KnLglBM)@s;Opm$ISX$-vqF*MzU zl>||vWO($v4iImPb|l7}4cckjB%Exq)LNt>!oyk)T*Rb{r_mj*?)mv#DLsWSri z#Q?FYLk)ZIpfOeud@`^$qf!~jh3RSt>IX0efiiZ>b%O*jlaooYolgn%wP)&FqK&BC zq>a(j?o%2FM09wi$Ehi}Mw00^tXa!OCY@#hkQr-MVO)a_18x8r>^PHm22xHP&=0Hs$16MV`PuE|y&c$stS@l&C{d;dp0ekzh@3RH{_wh0@dj=bdS5 z>#S31cV<(Os7#X!4tdP43qW}6i$3@D3t8fTyB}sf;m$A zj;FvU)}YLWCE)~uQfJYEk26;i>NBxW(?!mk^x8h+2#NkQ-DH)ynT~bW)pDUZ?kp3V zvc6qO2WoW>>u^JKwN^~SM!dY0=5m~6sJ1+xH7T+t4P;_CkB&0z zFkz=P10*0hm*8)(Mwpz}4pYxL=BQB)_ z;Po`@wWh!mClQq2PGs9FrrwyiPTr4oQn`jmrB|6rXCQ8dPHhEJdL>MT0q3Wqa!8i;gho zm6#XTCu&!-y}^FO zStRS!s^SkOm}482RYt?MXfVnbdzFURoX7|>+)kYY^qtC*&1Ypy+%71;`~^3v%vV~= zDRj%)B9)5!6Iv+5DNU&cOO`+eI8YFO2%5;mu zOb_vTUC*mqrkSh62Kq>4k>?7Wqzk#Gv#9=5$-$>J)a^plaheOInT2n5jezRLs=Nv& z$$ZD3rZa$fk$G%hcgmwa+o9KkX>T-Bq=Y#`{8+PY7ZgBxpqJPZ=qQp@cC+Zkfv+hB z!VJ-Lx)8I6qN#F1IRR{E6(*EsqRu6>#G1DRMKGz#*2>p{#;8zWz>5IR$3)y;E%Z** z&x2l~4D?f$<=2LzK(DX16Q#ncY9+)8XOQKU75m9v?zhYcR8b3Zr(0$Q{xPy zP3mYjw*dF}w9igUE8Up^*S^`tRS|0}`0-THs_2g8+wEjQn62_~BVkI-gS~t1vB^qb z=pap?{}im}Ojssi&{v$D~q)lL-{qVl?*YE8Dlk`$u}gx)WC zVK!*Q7>XKmt@W@o?M#b7x6fp;)|JXMB)Ua#3?OL}t{wJPlkY34je(85#C?xjG{@j%iWn>}4X8noX-#bb!#EfiP0}H67*RohhA& z2X-dDoC#PjhhU3=jzJ+TqA+n*V2mSur2`tAbljgead4YhRT`m9puR|w7!?;5IPiP2 z`3mJJLut6JZPVR33xf@d{G_P@_9sN3Dos}{rj|O-#5N1?McLr56xzO+b44}1ZjR6g zbCY?EV4)|hz5k0|z$f!V7e% z7s`}%t+r`$>D5-KQ!Q#$2Y{p8M*2xr(b-xBsvfK4Jvpjm;=XOnYkX^qvDRo;$JvF+ zPt%A2>JDT&j*#b>(gBnc+K*B&J)wGUh2y1*!nNfs1G$poSjH(AHchw}iIr~Gi7T45{NrkPZ`!>g*vO^sDI zt|td=pP9&{Y{gD{;ZpNvvsi%LxPp)chAOm*ln(0a)o?NjZCJCSQ*O_N2U85%3 zW)66v0>!L^Xff2&U<+a^oAhi>QL#>GSQrAU#$%}mpLdIvSWZ*BP$C;6KviHy)Up6i z)QcllUljpVozU5>P4!ji=itik_Q0$a0}@Utr`*PPTG*tQ)k<63WNC0q&wKHpIrR#j z?RdH2pq@#V8%Zpjy0cX#@m8bRNR6XZh1fW7Rzk5YHceP!vCmV=HFZgeSx1aZnT^$? zxj=PWi$1`V17|Q@u?EN4QZ;R`MqbFYxJA1hYY}optPaQP;H!$Sj(4X_A$xwb(I-Vl!5?;6il33rfyQ*a%f2 zQ;}u>`Bz6vt+K>WY~*^)h0P$eau8&jba`zT9M&zu9=~2RL>Oj^ro}XDUMm!ZRHk2O z_m)X%8K=^4rLu_48IF@?MfTxRlwyae$F%4m6Sffkxrq*=k)A(cr z0vhmZ^{7o+MZB2N2R3Ok7%ZEmT9MWbC9*oy6Kz5G_lF3THe5lsO$Ghp2EV5-(f?HT}K;|(uL zYPN}h9&0WQVs?6qbrADNlZ9H5UKL3{Q|F$Nw%O5YoR+8Bq@awqeW3{MT*SYN%?=X? zN<0ly8k;O_w}5rkYx!tiQZ#p(rrS9%auV~FYiQNl7&s2};Z1e3N>1R2oASnZQuMrn zNLw}CBKm)E2Gu=hW&uTKCuQ_@73e13CvhHd9@u29Te5wAy`0CT4bWpAct?z?(jKM? zY-~OS>1VsZ0g}JUk^O46HSH~o6}a!#Z5hOF3C1-P5aa=GXO!B~nv88W3r2I0joDaZ zSHUt4?!>|*TwfY|HdCxjW}w7P$7V{XKNQ_wlFY+qqFW~RYlKt-Z;6qTqnqF;-l){b zvlnFpj^}N0J7i`v@S{3|vF7#5IT^m`paParI9?Yt4{}eo4bJ1qN<M7ga0m{#+38Rj;0vO_z~{*#|Qr$0J;96+S%6nz_Se4q@35Q*#7{Ml>tlyw#vcQ$wGv4J*ZVLFW~z zRdsq=36K{7NRomfwh_lpHP&FsPH0;prLSU+UjRE~KELd{X=~f)fRwFP<%OZ#D2Q?7 z?~!l}n;A)p)upE+aCY`xC^024L)A8%r>rG$35W@7Q568P3rd6UyBWSYvkfP|g05}1 z2qy)>@5fckVd^vky6ZG-M-4#G&Dwb2@hcq+FOAALml*c5dR#T_WTAuO4~oFv%rh-} zI;dJ5Z-C=BC>X+qt16hL!~_sTt5J0|fs30T5i-uQRRx)&1#C>ZZtwjCt!mrssdK#_ zavVE|!q3#1futwqN&rfB794DVzI*FxXV;F1Zn0tlpHOLF{l|kXLP5y+6F~ac%~58y z;hZ?o4n4=RVJ}S z#3v0P-&~EZ`-{8$LBMoL^+cZz0IhGvQ_+0BsZDz98vKOeX)GpypqORA_Csu^!*&7D zMv~=&Cw`lVQu0#7(Km<(5*&)zjN~OT23o8ys3V~8tH~9}e@Zs6{?15VbOO(ur+Ogq zg*kaq;9A)sj1@f}`~{;bNBUBb2PX}0GQ!C3lsIv&cF^{SY)&S*aiU)>Y@<=9!DQ2| z#&8KLev)noJJEPda2o-LW8(sb=W4a-`3_iqw>}tbq4R<^4R{Sp2Ah&XNOouSb;rqp z-4em1m13{64sCw6I84MJx%R|0<0Xc||zuIiqSOfwFJ+XIRF( zZZFrW`5_GB!e=M)&r4jg3lAwj-8p(XU;wl8|20c|G`<2mZ zQq%{dTyou6Z~&fXhfx#w0-!ZW3=+NOD(Nw?`@sL}ra<`xlVzbPFu=rj(<&m7NsJJl znc=fsJSt~rIIXA(zpZF+Ghk+`?d>{+-Tk=aSJl=6id!q&jS>ul3LT@7&c_-$4)qe7 z!ESEvlexXDu5nNerRK&2gOt^>L$a2t<3&BW*{rCT%y}{>4yN$tr0h@!NcXw=E&x)i zRfTRBX9+n4vK~3}aw*o4YbjYAQo|Bit2*Qi51d6(Ra0n~89e1v%ZrmSm9IG1+gJ!} zE5rd^lJyeBI$jTgvh6w&yT&zN~?2u)j=FZoeaf?XEtA zX$pI^B16_sPaMd6a^w7c@`5QcrFZJ+7Ijz7 z@G`6~@DtgqR5T7k+>AC6Y2YX-6E8Nh+Y&Zh&852RmKLQEkWodt&E;}VdNit3c}h@y zjmmeoX3@@7rm}8j;Nb1goAMgbcAKPyz(=(!v{kDqS>`047pXzF+R>#+Yau2@yHuMi z=#SHMqGiX&@hDO3J1mYy80zr~uPIg^#);J`ZkdkQ8W+L7HiGGC3di@dVXbB>dsD=z zA|PkfR)d8u1?=S497T_p)j6NBS~D*{Yb+)}!X(52m4_`P z3;Yei7kGtPrkiV6GJPkrCQ~+1@}TVv zI&{n5Kw*Pk1@7Q}X{&g3kDk<0Opf8TX)>^49z|6PxwV(J)R8~Y6Y=P;AH!_=HV6=qc;8Rh9uUw+dxF z>r<&b&qjyQ`o^uBLNo_BXHoBCE-D(_6u~wV-R5&!8>met3OjzPG&e`9_PEL<2DvfQ zSCW21+3*FQra3CXrT9cVUtR>2XbET27~8%*^Sd*@yv!jQkrBaA(&t?of!WvsV@?6V z9Z-nl!a(keXVI2%I*`;Ggr)FKw_lFA{U}ldR*o|14 z%JTGb!1TN_=;aqm0tW=Tbyin<<6JZ~_m)yGK?!y~H_eQ;oir%INnmG*4+f&>6sh*G zNxPQldjn`Khk zz$x{VOn6vdxigo#b|&bW@k$IEk2g5augfHnEZdre=Y0^3>~+ru?D5$qvkY*f|k6=>x) zps`H%X5BvFP{-kf6y+4%!T|I{{RI<)7s^;KhgvQLu0Ks|VXf+zbfLggoJh5FTB{3< z7{XQ^JHA||Jr@l4O_!WScz&KBbmLq!LymImE_z`MIUVp#37n3FMZLBK3-76H(McJc zLF-I{DHG9v?+HE>NF4{wyy&b&v`uQ{Mb%EP)y)+ECMOtPw*=I;vw@WWVQrNmlQTu^ z4Q#^SJr)FhWYE37+3(fI0y&bx^m=B!KPtDU^9A@g9C*}Up3s=mhGrl7Sn(n!;IFDR4oyHkc9^6;bz-b~mWl zpq<)`aoA4{aQgy+br4qXb&At=ct%^`Q7q040S3Qscd?y-iv+Rq9bj}*&@k)i3{F5m z$lcI&d9z%YMb|K><6JWUUfpsGM`r~yoSTJ{GUP%Y00GM+G3_p06TlOi=u(Jt3S^JR z$r47Yg>6gF0hWMFf8@ZxQd*zH#;qw|hpR*5VuIzh-2wni%66Vd3e00m%j(17S^#?3 zRU0_-iL&C0U^xo#8^9wau7LDrgHUI)iUVvk1_z`idYY;&0Zy>Set*shT`_LrNH|)+ z5hC+UN^in7LH1L%6!tWg?1tImj6R%?0yY4gKF10hnu-pWctOzelDittIt+Z^0=H_W zt63nK0pz6VChVlkrRTAgaR5@nI!rdEpI5eV>|nDasqfgSd>UKBj1IJe95vTn9;*_C z4JNpsI|xcvm8wOdm9?N#?<%%{MkHr@mTQpiD6he|D=V|vY(2$!6P>221d`km+(hb4 z_NxXE-3!+?Alo=j-imUuv9jov<8cnFSTtIO9X-D8305asad2jc2NIU#Dv6U&(*&%6 zbJoljVSB0sN>f-WTXzjRf?3)~Ik?yPnQs*=c_sJi;s~c2jicoJG;9xB_IiqqDe!E( zvn~XFY)Gg8L?!Uo)qZX^3aJ3{Wdwrv`_a<2OZ$lXAiSXD8~~aI=B1bKam-Tk)3YTA zk{EL4T6kvS0DKEY9NX?1X@U`_r{hvhMn?c)SD;n-T5^*q_v&*HMNFFMILIL?2zhS| zL>kAwv2|7!betLiz)U>aAd?J z1Y1fU2qyQjNYWR!j7AF#d8`PHa z;n|CFoC{fftx*+#(LU@W+KBa*K>T7B_j^MS>9uBR)or7TXv&pO>|W~ynN+bOo_EY*8pks?w57%5hb=Qd+&Jn0|x9$z36bZcQ(C zvK;IdEIT0Q+}2FYi@Ew1>|`>T&j@GAS~ERQj8@592%l9V;VjoozTU_WG198pw6}`u z0}Rx@JVuNbBH&@u%iEc?2zuxI8hk8fhe580@*ZQMLR3&=wGMp11IRh0919&-TC@bXUqiPchv^^MasYP}vtae9zE#u|ihW*qRFkBMN`Yw3P(Q6sn=_=a>A zxYB;U--zLeQqcFwY$gPUznyI?!gXTW3eaEaw!elzr~=jKKElq40?Lu(>0 z;vzY+JK65`>a8-L9u|uqUVR#z4k|ypl+5@~z4MMKkbgw-&lCLf=vO|yHou08UpIdd z|Na|i@9RH=3@!-|FU^FLtei=oJFtRP5h^R@?PTG zcV%@p`^euo>ZiA#mu*G;l;rmZUkURw|1AD|M*rNU{B9FC2HwZn@K1eReL7bq%X{iA z0?AdCr>g7P?o-Koss)zp8@Bb-)}G4t+?lCs@IHSk9fWesB!WyLVJ4A%CXq0ch~z~M znM7ML`#u&*f+|x{^t%iZi`jhRU?k8 zI<754|3pn9>Kc~And&`>_$&LVV$4;`L+Pd2;Rzm~oHbJhU7p3`|VG{Enphp~Jx9j28=0AGop7~GDZVmpz z)jRKeHIlaHbK8m-bH{dl?`roqVjr&%lH_biJ6q1-p(9xeZs328a<~VGw==W-nK8a` zHsmUNJo69Fz3EJqT^sbNn(B#Zd2WLO`OG4PS+0N8vt)!lxzuXEL~suG-OIM~&F5^4LSmN+MR z|GQ?pb7^J(ZFY6_)kt4g(LH@T;z>*VMX%G0N#LrGilsyp9H@;O=&DzZ7NQ2yosU}e zdgr4|u@(6+@?J~zf|>8VcayyBdOoJ$|O6<{c{{-paG{f|BR+EoPq;jQ^pG2CaLKQE(W!On7!rYiFAu20XNmwI35 z3uzBeuC5eSLt9A`^&?V&Ye?@SL)oWrRX=d8W93ZSuuflnLL^Pz-Q__&M6?>PkF4Ab|*p0wHwj8vXbN%!>cEj+GuM>~gPnk!LA2W|4Pw@h|g?pR*y+^ym z%rl8ex+oo{1G&acEKE$3>=3y8XrGJ?lbwB%d`uvTC~lwR_&qkvYoCxq!lx+Asjws^ zM_$2)!t#aL;Prir?W!1!kiQIsME!{bmy6BU9WFE z9me%Xkzb0?xclxJC4i({G{o$Bjqkj>Ilr@kz~8OmPM8*tXSg;j|N7b@Qo+B>BZ_(S z?z>-&)Png~b;%NinF8yEj|s+#j8$K{dUvqP)3#La`nvXH2Ekpui*}6|((Y-uh`rZ~9Khv!vXaFL-`%U_x^@vP6s8Kle z5~+mKF{vD>1(}t@nq3V(3LiX)-~u<%BMvukLEifCnTh;*@MQaBH?Lzd{t*3>3_E$I z;a#jDHkgk&nN2!)TwpcSB?<`PW20y1P_eqgXdsYZOBcOMn_Z3hPKNApL#b zhi~2c!2SG5W?`8~Wr(zPG9npWkusrwe|T@%x_-2OaxMcj+D^(Jg{c%GxG?z*8pDF2 z4?Sf6M))c|_2M^4ZLSWL$zgb7A&kt?>Ps*MV@bRxw{KdJk55wDf9VGAUrSiVK8&47 z=9rnZe!a}3^;u>wD4L{UjyksJ#ggso{>lY>oh`F`UC-HRJkJb>`yKXB?qk2*tL8t@L=QWhA84XSt#7Z=p0v%AF8c#b z^r$fZKok9eCVKq?P4owv=npi}y;l4KP4uWL|3DKxY|UP-i4v3UZ~e{(pLvJ;cd$u+ z+58V)Vv*H1FT!d)A$`SZtH<~1(A_36p~af9EtU+{dGTjrmdvHdRv-i=R92EPVB z`9tr#b7@x_yMg`Sd0SGNJUs5op1Z}nihP5-x%*Fz#$u89O+rY-;xUF%pT^h-bHjo4 zHNl8n_>;R4g_yvIps9Zv6gXQrv5fN_~k%{rVfS2jm z6&{NT8ps?PU#4S79E&01l_hWECws#)Y@7i|9Y1M2h1Xx8X@R^l*_pOtZpS$-BrA#a> z;eW9kAjgH6nBZVRB$px^=XaMJ4m1_^m-s?_cZpB4kahSn%?J=ic*&s9`*e%|*ZuA; zKzDQ`ycCfyBknE}G^Df3LWK95-`x(|ncbyB)Tp@2SmZefYnLvLkL>Tp6P(EGvk>rO z_i0h&xP5`p9-_dW$>Y@P?oMzJ2Xa4%Bk~lTh!)~B9izi*fN)}bTqM^t!?NgK?Cu(^ zz%at@T12nmP#oAjMKO-TC-4%v=Hl@LvJS6VhK(`t-8C&TNKdW>9^D3=c6S})V>FR2 zd4LL{PwZae;xR$w_t)T`O>hbFPCU*tv>=2Zz&Qa4)E*@z_hWG+-<2rNi!4jCu)g8} zjvR!r!cxTfa4bd6WOV8?&&cRZM4^N*9C#L8SwQO`S03G#i6v+hBD`c10v*FQaTj^c`LJA^mYuhAF%$RVb6w2& zIn1F?@A%T59(=S<@409X4?=ge7J6up?&mXybCG2EW^UhIrYE8m)P zf4XDCuV+}(h&0BcN!(5@4APF|`Uj8li(Waph|T|ti15qiKf<3^@$HWP{&DU9hhY-E zd06ys|3|nTt;og>BJksf&HxG4=?S?5-^R+qEk%v23|}XHse@NM^7wIEHl~LEv_d?r zj~{>FUBOT5N-q2_a9tuRlAUMI;mK4H7hn(rw{O653kN5TC~=4dANE-VlPfWqAKLgT zOslByA4AW8S7(<8+!n~yL#`fhDr z9)Se)TYRb{XFt#`pdDL+E|V zsqGJ?LV3P)`}yDhi@)ui)%LR=c%NP>`Il}#b9H(RIDiYa`_gUpK^p(`orlWsa%o>s zqXUWt68ievcEwXWzI9d?>T!1xzTfnXyG>7q{T?858v5TM15YtLIS9R4k+8m+jh`5% zz;9s0MO=HP5~m@#hSN%QW!1sNrQ55>3e$yTU3sb>37qf+M3@>A3~LE+3%Fuey5t{R z2IOr|w}Y7yLH41`4iHrMNqpM@G~;TegF6;e1>9tqad7GwUJA~JbLJt+de*-lCOu`4iN`|j01TaK8H=q+(SnxY^Fp@5h1@Ow3+==Q_JNzCVxi~!qAR2US zESgwwBD+q!_s7~UT|Gj%(A`c_iBoEo11#>HeAdsJTh9X>UKr79q4XL{n8B0pUP*jPO5#FI4 zcmel!0IFRhIw~-5aE9-Ma}?msRW1O13@{kbsgSF6M=59-%49dTE2yF!agQEzl+h+1 z-_JG>Ggvra|$>J?D!eFhx!nAkcoz&Y8sIzK3L~gHL zm$L~Ei^$uL?X&tkOnz@uqx1tzG-nlhknG;3KG_GE^v-JZKpDPGomPKBQ}CG-{=|y# zHgfw?hzUMlLe6S*;o+rkJ=8w#H||ZJFW<+_PP)!vUJdtgKXGy0JFD4qUbs*@^AF&v zIBrybc)xTW_Nd3-M{O?L41VWzYGVE$_yTq&&#TOze$g_0R;L%gccE&RwDN-(Pj;=l z0{HP~wSt2zEQ-rs-7>WOcxB_0cP`{sFE5aY|YVP~WHv<*8YyZtHO zhKUv$`P0zs`82e8J`Js&r?8-(#s=Yew$W$It|x=$tC(GXER6dJGlymK&}Hx4Jxb4f z_x;eg`osA1D#lg!>MMu9na_twPR7;2Z(zDBhC4}OeKWmtUd z0vlTuq(E1@{bJ;}CIXm@GC8)Tkk|K539?$jG2!7olEwahXni#h+H)urO0zU1vMIWW zfECn-4M;|dW4A`k!z9Puwv8Bom9U|)xyApGF5KwdzzB?85Gf(qagsfe78<1qI-P8r zLUZ)V6iv#4;*yY;T@|Fr1RFK$useKmb^ZoX0(X)=?WOV$)GnvF;P%0?#3=j;(h0*j zyuAhaf?4UpJ3o79kjuT~tgtV8^FkS3uoArLRQbWZYQ0eJIcN+1X@niB9I8H%mv!>9 z>c0Hl3l+Y!f*eY4(i-qq_CZF|S#cjI!?&r^Zy&nS_ube&lhgNcA>T&!UwPi_bzG%x zpZm&%@1EA;Llo}0ACtHW&W0FS#O}Ka2LCG-vW~7^eWM+&Ldq_<<6GCd?>pYtD9YP8 z19#z;wmYHFd0;4|U{VZVFQq1`r4nzRLLFizjLaBp_my8Fn;8{MDJ9$g)yfMF}V z?{CB^651xQXb`s~Tm_Lx4i`jlB*2N-V2M@jN+-dTV--t-=LgD$EJetUI5&wk*ABd+ z>v3;+B#Ft2LkyIXwSkol?vN{K2GEm&HI+oQD7%oO&|iWAST^jJxCsp=d`t>4zljWq zPnE23@MVNyV#me)+0{{+O>7rF);Sb_y_-aut)vaYVO19uoJS(kl^3{6bwftw8C+0` zE=oD~Ftfl}xgRRWx2e^?_I)rZor&c8qBw6O&u@G$C)m@}_C5W~h5EmI^*UKcdbZUGfa?)4%fR(cJoloum#6|@RB5yw~ z{mN;bI+W@1I(2xeUmv%gnTKe;Gm$<_ewUb+dEMuoB@@7_Qg$fHV9t!COXkSyf@GBlf!4%wBm{*Vs0YeD)wnq6+K~kMQ{r`xV|k zZVUF<#G|nU>T|g32n~DiAt9~uDAb(^_TT@L5boJ5@h9_rjK&=4qc8CqU3lmA`>9`? z$?^NET(2$PGu@^6@SXiQGu?g+_k66{&n zN$q}|(`*rXE;9QQcBZ|6_WL8u(V>V!`@S@T9fsg34%}N|0S;~v;*U^{aOhL|8&YlX zZtZGKF78%3^3^VOo}uJ+sDZ;ew5!49Ba#&o->J%xLE-p#e-XVSuf5r0@Pn5B|6R); z=dln@IDd(H^;~iU^SJaKrro<%u@{mf{N=$>S)1(hxv%4yuSuj#l)l|kd??Rp0=@kr zXq0EO9ViM`g)=30_vECOJ_CI^>6Ndd<>vZCy$XG$yO;xF!?->~8XOE7;h5eL>pj{H zaD;HdhY2kbF2&jA>j$gkLuGetbMvnfF@dERf9^~Cen=Z(DgMsCdTglQ43nI+>f7I| zkVrJ>yDm&zHsU-Gu@M@Yc7bT2!b*@pL>=A0%6wkKo$?KL@j*0bf%7#6ZrN~B-Gz=o z`Fwm9#{n@uz9HV{E05$21C);_SWNw)DLf3QBjI!~kpV}A2-!1p7qTUQC;+A4q$QsO zLJpSmy^!AE zc?7lVn;|nuvU|b&rc12;kA9hXa&vW%&i6-Qj)D*Mg+GAQU$k)CegVOLuH=0B>$nODn?J1) z9fCN<{yAVGXokP}H}0${&vc`Iv!#+%aJK;LEHxxHnV2pRw6{C|U>B-)v{%41Li`A! z?IrZY5ISR|*twg4=|OO%zX|)H4mkrJba29ewG$>2AEA(lP~5pbpj4C1%`P@{9~ycm zG!S#b_jMVMEoS~dyP@)bzxGi1?%#c38x4L0JH}Ae!KxejzjkYC*Z}052NJ{{>>?|V zA)%p*=&Hk4QxCJ@oa}`-As)N>;dvhaM%gHgSt1 zmK_1Eh!qBs>@0FK4A#B5>JzLtitK}aH0(}cyeZT!=l~(Gi$JmwmQ3`SW4U*#MTiOy z3xWvMT?)KpkJU{$T!|U%gIAQu*~0V6NigAk?iY4*?!ixd7an{J7urv)$KS`^5RTs; zy_d<0*U^3W(0_aC4TnO6>!|pqO?oDQH_zjONG`3`hY}yehIhX7OpiJ%(1nMu{iVYe zdWgSIaVkoH3)o09uLWirn72VuR_)4?!@BhqC9s-~a9}Z{ZFYM}Z`o!(w z&P$8!v5a(lXWp~x@q$7hmxUO)cTm-pis>BmoZ-JN+xy(gOcYbp5q zExKEh$3%}ij=`UOak{fk|FSpHv;Nb2{rK*9{T#}07_s5?T_OFK_Y%L-nEkAI z6wBe`;h6nX=XE`P=l0I+3k81pP&oVGsU7a_b(O0-`_`~y@7P<&?)H33i%0w2?7h3s z+teQV{He45@qFwk!LU33y|?eqKmMD?b~}mjB>h_uZb<%9V()!=wD&$e*fi0_VRGJ` z-1l^6?hQ}zdwSOvdS;Ezk?bD8eEf_R`((#`6)W~n>=`d`nvrEV0q_UdryY$p&v|;3 zz4=FEgnZfj!Fpg0gb zv|qAe_Jye#w3TOULuU&++1Bs3b@cl;S9KsWc0sM7W#G8sgIR%?m9>yPk?a_K`#29B zEV*w}ptH&9L9&Ca-}&GH_J;4?%jA`2w)ao1cPPZp#u^$?&Z_!DyBn`sSo$yp?{yRU zlvOym|MWu^_A@u9+|BaeYN zUUT%X&RXL+=I@iPuxo(lnaPQ|v1_VR6MfI}KZ+-8HtX%1t@ZSRu+G-4AKk(Cc1XFy zOm_F?u}tP)+%?%>co|f8u;}ju9BKn6r~1L7yk~cW%lFU%Z;JM*van(5zq?PmJb?_8+Q z-DdhAY^KeNnh6^CsfAwo{bTXN#`zE5zH$EYe}ADeXN~j2dsXZp^5gGgNzA{q6XbvX z+JgMfKfUnnyMp}c`4okozd8EgXfhDsuRBdQuk`M**r5RbySEqM-~7r?KReH!32;>0 zArp2X{IgKY4FhWqyp^H9Wyi68q}0R+fZyw+!QRny!#(C5i`LiP{2OQb%-iIGCF*~= z*Zyy$`uy+rGI=GP^}D}xY=T1}UZ%4i-aBY|7Yq9`o%N3%vas)-n)TR6Z_jRCknqcO zvNOp%PYIZukFb|20ndNo#s2WqDE(vm-cgF-NdK|xx7O``Pd#?ClQ7Rl`d@3Q&P#$VJRA4tchSrK3?xPL*2_cVbEwE+EeNmg ziuo7rC4Qyx`}?;?!5%)ovw-g;cvjRe?C-p^m_PqYQa@DW72m#F)x<+q^_$^t`g_&> z$AaH}Z@+V)SzbOzowfdHSl!hEe*KETcuoT*+_ro|P&;>T0~M;MA7eNXEn)X#07T9+ z34gisX6a6|*!NM1j*T16bFH_Z=l<|NIS$8DgPhv&_9wI*hdJh%b93T}i}3IQApknF zH$G#YlblWM ze{Q$`!+|TtoKVAE0GHhFWSIW$O?EGR6_xv#)bY8K^(CIwy(|3E zqoe4;p7d+?vVNth{PQOv9*P!DJBM@h@=j4pR)kkQpQ zVT!-A>h2~H;vBp_&K1AhIbJ^c<&R<0IR3KY)a5YgJV;)5 z8})bY75@3nOR$%FB-eY7j?H+ed^p^mL6IMx9+W!FM4u#@0W`47mq{Y^&9da zzPHNbuGs$WgNp5f-{8LFUOpY2HOj@YwM3{xWOvrb8HyUK#erN-Qixw`Ce6o+bZ4OL zrmTBY5wXi+|8Q`kfn4LXDIiUZ16WSBX0imm|0>@<>lm;0K03}H+-r-w{_xQ*6iu6jO>gP|R>QJR{RK52KLOy=}_Ep}#AhehFue0Kv`q$m%PJ8X;4yV>1 z+Nb!6OW#Qw{^R=GQMlnU_`{FhdP~nVj`Qb9lxNFeCxif>xH5@R`sLYK9sL=V|D0O6yL+h^}h4nN{a_T;V0Iugw$dE)1 zfdnz>itw3+a0C+AjPSar2x>$40ts@)1P(s$J@+aCBuJ$QEMgbZc8o1iL}3R)igllz$%!5Y`H?{xGWGdCclN zL`?|!xVfqkZi`(UHi6J!m|?JyfB+9jj$I(aE>psw5k^dt&ynShgkYca#lQ70qWI6& z-hVO6k6GuJ?#()PLkQV7=wOGj{YGhz!~6D)lA}WTdlh=&G>Ow6}YuWQm3TF*RX7#;E;U9eE6k7-t z1hF62FD2vntsi;k9pKMw*N-58&H>W~sCS&J{Vka4otf?9bcY*fL$1hUXXan+4(vOy zeG`{~5B6xjEDPvgx!sEL94OYeVq^L`OuM5ZHOc~HYlAiucxilWHFbM{_)t+kI}Pm8Mg z6Kq)#)a9Rg*t+N^0wZwP>H7Uoe3oyI$^OTG_~VbwKf%X+ySX2J*asYb{qwQ^_KC1Hx$Ngmg`r-RG&42r%mG5Bj+t*Bdzre3W@yFkM20XG~?(MI>``h=Wz$gEe z)4(hHlm7u0F^pLZ8-D%-XN6w?6Ty9UKfyQq!uAG*>xIRC{<{l6x&1`&`o8-27k|0S z@5jI>{>34Ge#hSr{AECY_W{Bw_Stdy2BUtS7hkjR`=kE-N%G&CfMFcAuAjHevtckNeg;-_$jjk3S>L{i5wJ%(#BrzvA2e zNIQ`H%_fIEY*ti9(f*yZUy%|zi8>dSCp^Pnw>$d110Wdwa=`z0vBKEcKc5z+1N`>O zhy3A(UmwSBH(>ht6MlW$&uak&@%xl@t9?(p@9&3I`TghLuDjo?O8D}-6uy6T@9q75 z=pW#He{HFLKM0Q5C*k+szgFun7xK$I{LRANKj?QpXFtck?_vjw`=1TMUs}Bz z|9i{+mwWhr&|f*x&&&Py7BI~5@9+NOkAL@{{?p%mU#aj2e*6j4u|K=iKl~f3{Ljwt z%k}-mTK}5*Kc6S=(%|RVQ-okY+JE^LiJ%bu>6_cUMZ`d_Er{_56- z<#*=pmwi0`{3QR)tqr~Z`kmg-ekFo_{9pc(2+IDq?|;gEf**Hk=#St2^i%dH_~Bpv z`+k63jLLt_u%CYm0CxXtM!;|O|M=g5Q1ELt{pT#mZ`xeWz;Ti$4>Zmk4kS);Km66hzgNh=^S%S~ z!(SrwfB5m&TOv4uWI67K-`w(FDN+9M-?;hjIrT43&tV7h_lD^AE0n+XG2d_gFYo5} z?)lfD`sLAlzq;Q!oWy_l*YUsnYevDu_`iGaFJ{sI1g>6i8GqyQ{xy63_#ghmFGpk{ zY)AudjNw23;-XOUc0F1qSy;h$<)X&^wY5;&qRO|gmX&}0W?3|-eN+bHFfbK6Yuls$ z?2X`~M6t^5o<|?h>D+M|9D)&{{Q&bfB7F$_}Zcn-A`-(*Z&6?Q|qKX zXG{{}`UwA1UuJSOWB4igz&}E8KJNcLX~dGrl2_=!v4 zAN}(XYMl-m`22pp7T1UMJX9JP1Y~SlQFLTOuEf?pZ;rw#xgKt()9I40joQZ9tB~6G zd~K+!*JF*D8~pS2U}NQUf>+M&3CsCIo}B8Jo1U)^v2&D;McM8)y_Wm!CXb$BB^I5oFuX27|2l=#~;b-Yq=ZbV*zx`cU^FBG9&gVNnHS+QC zh~wlb)6Y4--EN=912I4U*0GB^`5rx4v^NlR@)_mx+FI+dO!DFJc+^Q%pJOTgl=tFH z1wsl0vfdXPPkl(a!Ot6u>ZFEtPq>D&xXzK?;cMXy<*Iem$o1lB@gLXqNUC_?6J(H? z?j;yWj}Fvw^FD-{mzv>3XTzpao>F7<-jn4=>Dl}FQ5}#dceYWX6njWm`*N5$ z+foBoK4XFS#FxMhE!oASmxF3g`#y@4nzMHWEkB|;lr#%*K7+r`1P1aq@BP!^%a1eX{(Y>;1=R$%wKQC@dOZPu)KxA^-*;DhXh zpEG_{csV=Y(!5EZJ?XW_`qj{yxjcArVWX}=cg@r zrf0{jkF{KxjF`bWe3-+Fsv8Q1poVVIx>?*`M$Bj%w;UeK0^_7pg=+dOR-cpH5rUNq zspz&|@M;+fO|Uz?`~Z(y7*o@Sq|UcKG2)ooQSAvrLJYZZ^?Ua@N- zjkYuU%0*aex3g&0)f?qemvNiR$dKj|*)5mzTewbH{dkNo1*Oe>ju|%)b)ug2^f)0M9D<7Vx1 z*pQYRpM2=azoFMC`h;3tqL|@7=tw81`m@n@m_^PNRy(XWo5x$+b76L#UaF8ur))V; z^Fe?>|) zp5L<7zr@p~jFsKR$|f_Rr&Z?gd7m=5Nb!tf=^#5{3}2sw>i{?tJ2&~$JzaGp0dZCy1dGlx+&Se@@;Xjr7Oc3+85FItj!o z{>sAKk`9*$UDqJzi)$)q2o)3PJ%DNKk1l%S_}I@rU1pSbA#2(0AwF3l_tOJA+x)$f z1%vZhVY0h|z#w+IN@+_6O->&jhoD|UG7EEG{X+LNJzpIaqXUU&M_WE1aLlBa+e0`6 zBjL8bVm}~k$0y>RNxDtF3Ns5{iRo)=E_)x%?mu=HUH5C^PoE_XONuiR*MG>$sD+c$)8Z2VVGq`qh^kxDLx%;1?lIwX0#4W(9c2J#_iLaQkERJb?R{X zAS$=#4c6|3$C*4xiG<>ghvSGelpnzA^*pAGbl)Og!lPS!MwF-utwz&3Z4}06)up<$ zypU<4*9&|*6ivQ4OZ!$QW*9g`;kpnXe0&X&ZKGJ$5FowaQem)>z8#Uvr+@1u^4N38 zRqABOHuIym5AASC8T!469<`x)aQ;*uB0FylXAKo^U|OwrC6zeR@3E%k~HVS51(d_5eR}D82FkqYM$g`MXP055S5rN zB)9sF^eJKP(H@~DpFIpqd^n0SMDE(l&?(C<@Ll;};1TLN5Gn6N3yeud;$*f{Z7b zVkW#{y}etagrMhc_Zm-$%4h&S@ycVG(Cu8D3nNpT8kgcHJb6aWaE9v*1Ecf?qoWMQ z*CJ0ECp=7G#lZxVKi0iuS;w~JmL@!X zywa!PIIWu#>E?arHd*UhSdCpEU(=!;DVXL{zT=1lCNKdw;q$(<{w<%@N<>HU zmL0u? zAD$2tKGOn`bqqUVIB{5uyf0}XnnnDD1y4?z;-p$TXHHstg|p_==@*C^J|KwKncw5$ znHP>-RI+!@)*bp}JR*siUb%4%92$3{_xHZgX z|Fr1M=}DDotTBOWyYt>cMM%PS?rVK|S|HZgW`8szakcj8ua=tl5sF05n)K>b%^om+ zh(n=YR=+gV%53k~^HbxkEmnlf@d&xXq70rxs#k`P-2p-SZO?h@Y_{-msi`L$Q)VL* zBwCs?eDQG%Ru?))D<6J}>loHnhBFEk#YQjc(<|?7(qbVXDZdgwe#ZQjY0~;EqVy?iFPjQ{fh9*lS9!f3`B`jXk^=jr&brjmI_Va zIF8C#?E-}qZBz}Vg;h%*?Be{0rN{WD*=MUPL=k3~d#uk@%ZVKxR#fx|#Z1l*kyuh% zDyf-EjB-J}-`MoF4D?zlVHf?>711X$`J-~4*Q=KlN&UlbIP?a0|R zm$p)jy<^EzM2^*?$ALlgr%u0gErc916^t4u)|D0rgn2+1w?e;lq)79L&D$(K@khX2 zNTgQ^*3CWimOhDhSNL6-}xx!>{}C!z86gZ zt73ulU8eR#{%B1tOQ22HGvh-Pe-1ek5XN1sAbps&M%WFMH60fi9e&{MITBv3=Kz4% zAw)kt3xl#T!i;Dy!&qW2?2IHd@8@F$NV0o2*y?#BHH0t_fkOlpqmjeQuO242m>rM4 zenQnd5UDq!2B7V9_JW>Ro6q2KfKdyK=_F$4VeFu4vUm&rA(q}dCsv!hED84sD~Q3* z^sU|-0gO^|H(z_CY&DaHN=StgLM$_9c#oIS>zZttDHqn*5O5fF^Q#S8$d7VF(Ie>} zHNd4JiHjSXYy#~mKEa@ZLK&Y>>}YI=Yh65xDnMr>B1sa}+2>y4Og*Emt0#v`?^kPW zo3!|X`XTK*iPbOWB(G@NT50kb-q{I7tL>tuesw21k}1i9enZDMl}vF&%rAzXqXToU zCCH?G-S&$=j}*$q?Kxfw+kD;WjVGf@>sw!BL~C}4e#Pg`BT*Z{opgF=XIkO&t(WaobdbklOIO8%~J$TPI%8|AA!+~{3${G z^N!x#9$0So3}x1&fb|ic!&K{m%;L<1t|T)waGCAQbQTeZku5%At{;69z&Y^#V#m$Jrs zF}QC~=Q@aDLVz(iWP11S?k&~QF}~-7yFiTc$t=r^K;bRqc^J`Y<7h5q3W{A_m^8xs zlKYTXUOegL&&S6?_1KHwQyvZ?SM{|C92K?0wT6(dnP?1zdWDc4FxT{{QWS-gEmVNF zv1;g#C!hD6kvve^%^UQhVG7O^oqoYOa|>cm=|xLIBze7PNBg$pn4Tk$5Dmr}@gYbV zF{c3@in$vkuxsoE<8q$NseM$OTW|DZMCZXB5BxlE#w=0g{o z^;l0QE*Kn5lG)qg&0m2t_?RE^#;Qvxv#;SHLqzQ!ULZ|Hd}wT}NcQtQn)JTMJXT4< z;?{~GeRwEkfY%<4sh8pPK0+Qpol17Beqdc^Waao)E7w%@$E&^p- z`Wt%SZ`xcKT&*F4e7-uRz@MBi?jn8vl2^~c5n&%#K;OGcy~t1EwVKJ#*OYzw7i3y# z<(?NvK&KHGvR;I`FtV=6{R4$M0M-w7=e8%M&0ZRiO1s|OORS0vl13KN)R}30!yw7= z)*t*u)E#SBUtN$5f_c%03L8X6zP~=mx3PNM=+1GWx`^T;UP;}(;GO<{U;4a<`+gc?J=y9H3@NL+Q|+^D}?(#ejU$*2@n&Q*t1uv&=1j zX%S)&Z@Ivw^m!|)jQgIT3*_kQU#=dO*LEHHoqH~6IgAzah9IeZ0Weg;ud!C0@ zd5*CPf!!|;yrhG32_J@~TGqPz8ru1Yg?`@id1ENqis?PEF8*Zqi{UApx7{<383@L7 z3sV=f`5;#=8%1CDD;T6yqyUsLv5cM2=1CHAv+a)}Uq%F*oZFUj8Mb02q&wbTq?Dru z(<_5`7pe8M%8_~=-cSq+F$r}&kv(ctf}gg8f%|C2!+1&Lg!tq;2lU1#&)GVHqByiE z#Y-|}3_@v-{CGM(p{$%b8c~JLT;+2#G85yoHV_-srK4UN4{ZQ%DXZ6GT^%S$A zC#Iv-_QSQ0j`2g;`Mabf5Tt$^_dId$k578Ojf@u9uPtIv?-S*pasBlf{pxjd3TqDO z#XK3em%?xlN_!0`5phaZ$UYXqI33Xm!o1-OLJBBFIzhUWuF1`q*H;)}5`RgS6$WS&{M$>xb*^mrae^Nv9g zrR<;xgtW^rbQ%LT7%xy#dNBlH^)Zux&xkCX>{h$<3`SFdMoU>up$E-^zvg7MHJG~1 zz9uReRAi_=yeHd~3KP*M=E%C-i3MbbL@n-)ijdh7dx~&un-TtUM^G_oahiep#FqDY zv9P3?SrC64;Zq)yJQ%Bq@SxgeP!6Atp=t3?m)!^HiMMmtuKk|&F*lH|=`Fs^BoA|FP4@dF)X6hx z+*L!E>O^pmUv<0ldP~?@EdeR%BoZ7P((>ZPmm&`!V*T!(_0hcC^VE8_)&p?&C2s8s zh%MlmH^6VTD>k%WX$_$bAbh2VGf?mVG9+jbd38|wO~aJ~ZjJm5>U(-Gig-Fc00_VW zb8~C;D{0g-^$2_$&PL+$0o-`V1VL6_hR9dg(Q@eI5oo5M({U=1jvg7jw&*QZo>te| z2Di7&GcW?^WW0$>$Eik80si!Dhj4mLxERkGJ02O0=_{sX>vO7#S!rC7nCwXgiPpyK z9A?my`4H^!%3;U1?4{HgiH5PE3)}aTkBaFt*aFflq*r?fa>!x1z_R!8?1{}$vIeL7 z7vy&zI6&I3U3{9RQji(u5ce#KF6$AECNig_*Idtzf~QDyDc)A$vPkH9*(u+W0v`0s z_DT(o#JHW)!|B1?ygSr1Gi^zQmCm0VJQ|aiBFY|)5J>9Lh^ftg@ zk3Ddb>Au!DEqlf^U~p8%aU9(kFN*vL?gwOrxQP$`>vn_;9zL&uh|!Cq%pYCsSHRTj z%`nNLKCno=W0-OC$3TB@-Mv_s7~*9N!Dcy{PvC;P<&M#g>IO8cL40L;!@?c&a+>KF zf7hqCoXodS7qW0CwGc@37+qZ!D(`_^M)aJz8YntpDr19;`H7UBnVgl=(dh~I3FKh) zDV0ny^zDE~P#y+QnbCeIo=+B_;0MO3ccn52Zv}=(-xPc2avQ8Q?pHK=(&*cit?>;Z zn8{!iUzIo?t^#~;dEU7i-R`hezN3Noz$SYlovFiU8^BIuUze)^CCezX1Da|bT*&K@ zCnAh##@Cp1td=ymnzoY?r0lx3`(kCuoheJim{VErd0Kgxj3T91`AiI@2iIgOVzz!n z5@mA_<_ssnx>fg}z{3i}Gu^Y?&c@&m`iBiQKfD~{=O)f%G!Xq8xSsF^g!00lYbdLi zcs_j8jwhHRg}9jzSR4eDXK@)kK_40arAJVtT0WZs&XAvPRy4gY{qu9sY6A zwm~eri#Gw_G@6C|Hn4?VrY0Q^;N)fiqfzoNp% zLMaIO6-s)Ee;ivFi0h6CFVVmvV_EHdRd08=TLN@F9u;K1D`ob&@4NszG#ykqkL&4l z3`NLnD2e49e-9?e%Qlp0J@$AJNiAIlUEy`J?uy>6PE$1{t36zO{YIKvS>RlF>RT!rl5_M~Z(U2-0$lc;nxEn|KidhaxE z;Y_U$7qxTh{7EGkSwyf|QA2~3f@kZhmjt7G0SJqUp{RvBKQPUKfu-SL4$9b-Vg?+5 z2vueRdGwZmMgvT@%7D@v++TSIQi*fl}^kEP;n`H%z>M zyw^d>Vu^T~F%9%DTBu|Bh;yM0Q0*gXDjbIKv&w|}=;!7Ayi=e_dplRlJUUvi;_eb@ zTTeN5J>JsG(L5i}isImsHmHgF=fk>e?T)8x8R#4@3d4S^PnZkr2R!)F#XJ^b`GZ6~ z(CrKlZr=cYewd99>5#z|x-~7^GzJe3cy!#bMFxF|B1zTU31<+Qq*<8fZ|_-O_uQVE zKm@#%>W1_uwrh=J;&2P7=gn_EeUs3zF#|JwlOQTLfIo;ee53pF$~!hZ&7b9l`r(an(^)=2%71 z2@mkp2C{&3f&m41cgY@;J%FrrTQl7u{l0Z4Hqc9`yVv0|R1P8D>51VGu99pJeD?Cv z?zrm#g?MRU^zgd7fmS+prQ%#U7TF@5-KT!_Bj_!RlZ=&Vbdk?Z$zujD$2m zt*q}^_7Lgu40Fvn+0Lj}s&Aj5rM02-j7M&D312)ZdQcZ{u^E9PGZv5lH zkIb=Nj<*YB{{GDglu!6{5H{Cpqc~HVEKchzi5oIlN5hH$7Gwls$Q&iDHed!w=1cd4 z*c!xUEWN6`BIL`2LydjnZ3~ZJ?Py!2yueZ6z4->$97;M=(<2OkU83L?qc6~hcKUVo z+v45vJ>Ux9m9Y1talza$y&xyY3usRZ^(n76U&|ghrzX5dlcSY|qI$B-%f*`4K^JS3 zdVidA->DP19bBMXuDd4ba2Y{shQYu*lM<+}@-16xlG-tgWFd$Sait?7j8+8-?U&^9 zzG5C&lG^BcH-l&Y-qvS1P2;gTH=p&$l~uU;*Vo(f&eJ)~ulss@?s&*5mrra%j_xN= ztDhYY2z`V!&S}Mq@_S^@PmK)4>*fP!fc<=d^mSNxF@u+X47LSKTq?B{{IG z7Qz_O3*@=uCg-R9IUM$QK+QOv}3{qYw z3`wO--*N^)^#eflo%Fk9AA*O-u`$3q9#T1_RY=||UYWprS* zYkof)!0h`|mSD^R{6z7E(Q=5<^HFKJS83dfv=m?T9dt1~g<1q8;vQRFNQ@9?Vl?XT z>H^od-!BLpXhmKc1u%&}W@cM`1|c^B1PvkZHfKNf&n>Xmjtt;b;?KFK`=ru%koyWF zA(&GJwF#LW`nL>46VER*7iNZtK0s~jHzx@zsyFa5xZT&7 z)~y8fyhohM3&E(RDf1;HQ_RKO!nkuS0jn6WfTeO74Bn|a)5E)C@s&01^C5TBS~@rH zPDod8y1{&LW2jH>m*aNDIL&am5H!pNb06@0ZzrvxRhYG(>j?;fPye`)>gHEjybE=g z7=+G%lFZ`zf@g;V)->%Mn?eag9!7#B2}lsR+1p-gmYLOIE#P75GumczeB4e?Pys5V zv|V_X*V7E~i(?VBWPJCOynx&y~ug#;|}gIpqYRt zoyl5zWV3l))C-3&0UZ#`KwFoqfA713MPhagOd=f)*V)+S`_qDl4z&NxKK9zBbtV!C z87gGE4oImtZ}hAm8C@MePL5_5O8_{KQE|U*fw$y^uxJ_y3)k~heCnz>^i4+|9MGj6 z=jX${Bzz9D(zx|!MmSImsiz7bdkEBa%0xb`GcQsiU!(aw#0qgdDVTh=h)b12WXulv zQ92X+d-Mw51aHi_ty*iUgUMB{h0UV1|}ciI5SRc_z!hm z62T~MuAOf96V~sEG2=jZw=>#vGbxjte8SWC_5P+M>cS0^PxXD89isy8M0`@Qi7Gdh zvyVn*kJ-xE2`IeLQPNMjqU6roTwZqC*ayC21pfXaG5<-nQ#j4!(>0k@lqifZin z;};>3?sefa^rCm2ou%y2m+ckQlTVW)U!Y$VgN0t*%Lc~A(9!H4h%xti<&-)cmV?*mRezi;`kMNdcF=`IpGBG zEFw70Zi16H$xo=!&ldm`Veou|pDT-*Yf@A+cqUw7z?0imL&%gmJh8V*prRU%(o+d5 z|Mgh6`u^mr<@MGc27qq{=oL0QQSA^kHE3-Vi#R}Nwif6Wf?(IU-`!~rHgp_>A`3vr zWTEUg0R(tp*RbuBL zZIxk2vKj@goS-g1Tha>#0faGY=V;XADP0JYY;?VCX?6wi={TbbXj#r<*Vk-*@ps!+ zZGy1Y8&?pmn+!5`Vm|q&%Y(9%l3s%CYx4-t@_EosF*;S1xSlpwu;cj#RWa*(Yz9U? zF+T2?Shx&?EWmSB#QXZGpxhp}5RFFp&QUv$aXNm0qzkGA2E)P%-5{c#kVWt@770{S zA~^Iw@~Wz8CdCBAFbwiwNUcE?0e`l~9flGDs8fFB>!1#GfW>{>cA0z+8rw|Y9Rsbk zKx2HuK2}yLToK>Q(H7a$rT)1$D%D-Y4Q(|>J~c&%Be!-qn^u~;{C$liqr)nV^QfAT zt%xc67Vs^kU*^+a!5X6K&z2I531l^M$2BYJ-qItG(gQBJVBiI?FnoXqT5RAFZ&yzx z=-FY}u*nH;8NaYu0x4Bl@Wgo=yN6{v&;9)~l(VCe5fpX1{m2`d_LVDwE?n*~M_2~( z+6dSLb0JSFAb(XWo83ODl)s!WTnBj!oVw4VvBa2dStz{^Gvst&xQ0j57Ow`Ro^T4l zfMh&d{1#I_;>GmXw5t|f%Hz((rr=Wx;KO!P8Te#q7|yI4h|bP-UFq3y)Y?26nQyTa z=>81>o!oo_sfK^O$44TKf&$t{x5MGUf{&`dl)i%P{39Uf-Mhd9_4dH{%LttN1(F1p zY4>2iZyd0`c%j%5xOi&21E)U&4yv!Zo-?LQ0eQZ%lM3^Z@}lcZDOJ5k8rGL8Z=AaS9^4=;)T!ZUwRSi@yaNh-Z85-JJwSVr7rUqjiYH!^|}@1E0sDfvKA*4V0FP#)m@2j=_u0VCi2Y!<@H z1mBda5D*L@_#cJKIXMCk%?lTJLem#l9RPR4L!!8PR0j0sM}40S(_+(Lbi1IIHJPD%p)DpJ^SJp`q;2>DIFJa^r>g&MnqIA;J*v|(`r zN_xvYy-&jW7=d2D-49SXTGBIs&otnf$6$G4xpMb!7$~@k!P}6u0Fi`9E1s8>_?XvG z(+5u>KaWkR#Rs@~0*4ibqnMdw*;+Rqku&GI+#d+g4WDZZyZ#;P3(Qql5kU)4)QuuQ z45zy(0ODmg*@fi95G>~G0D2kmcZp#$*o_EosLz57^&_rS*$OY8W)MkS%wLXGeG}GsFQWr+|&z^9T+!;&ns1_@G>*S6R}VX*|ZK;<;7|455AEnRng2 z&nPkZ<+Uf&&qb-@du&U=5$BzCX0S?nzW61)A_=Lo#v3ot+d$*U$oSnV&3RKy065<$ z6XZU4IzI&v!CmntM|jva@Z>}f9x1S>Il_hm0}1k=*f8eKpuVOFNT~`ieCVh`{(=lX zGAe>r3~*HOs6HqC8YEx}cEE^jz27C#b78ftes+hL^hyjMv3IBRG3Rsx>a`K`_S){g zLLxeV7aB1XR2QzO>q-T1sA6Y18>(ju$aU-U(4TiHrJg~2^~EH$#TvXj5a+w=AXG-* zZA7n~D7%6rX(x0zI`SKnZj+kNpCz6cnU!ZAQP&QZv^yp0lO;pe!O!h8Fm;CQPC=2l z5^%=G9fg1+3YhPcIOPr~uuza~=_b65yE`1q&>q`}2d^p5=yN z3g3(f7InkD&_|>7GiX9kc+mKc;sx?9cyS2L0gp_(ud8J8i6Pw9H;_!C{h&oi>xuz9 zU~1T2036Fx39$@CBT>}J(Gf8;?GlN?B)$5D)$)=!H^#>4Goz?T1( zTS(ft4{<1Q_XI-fXvA3V^0~VBdnEyq`61vG$VJsm=_qsfK$YhP<$4Ftn@4yX)kEUl zr50ZkgcpukF6C=)V2mE*#6mF=E$KiK*LEjM_izZ55&R9rK5UR)abvX*UNR#JYaYn@ zb^(@-fgXVrxH3}OpFbh*T8!?|!%lvHG-uou9hl3I36tyY>pmqgF94nlBw$Nh*!eX9 z^st;45??3jz;r?DAwahZz>EWR8T?P&{r8s>T_G!S+zAz5);2(}m*?o-c=ep#w=0nQ zJlnn|-(1C(wya5(XPJ8f-Pyc3=_E784eK;8Oqyo+68OYPK%Yq;tpv!1fAvW3Pt0aS z(H+20b?j|9+iZk;1CKDkYWXZ)P-8Jv{fPFqZ3w!K*@ncDW9|vcKzKg$?RW|Rf8-y~ z8n5bfdK-ibH!(I3+~ojYoU+^QO@;zGTPmHek`ZpoPDwk8nm3r%Dp)HS=y=uRSfmR8 z%`Y`Xk5KA@yNyKyK2Shs6*muS#%B)B84!ojumTVs9yowb^%Cl*IBzuL_)3B?dwgkO z4W~cB^XKi?E?oHZBv2#pE}R2n&ApVJbAIF}cSgI*12V#tno@WxkZF*O@>V@=M0if){D+{IJGtJj>d{-lA+9q7DCid*Sx?J~*glX`|>EIQba&m1qnegJpzD3{=r zocR;DtDssM-zGD@2P@6=pyh;x2D{m%t!_DtR4Q&5Ez1dbJkPYetjcI(*T+ zK{snl@Dnz#Z}mBU?HwU3d#U*tb>M z3@YyUU9yC9(G^j`mUOSh_H|4hN}xQ#wC1xdG`UtZ$9RqlFK8^b`W#*Eg#~7JjrV?~ z^j6*v4o-qO4Lqvy2P~G!0a1Z?bcUT*i`F@K0~GQRU)wcd+2L5WE|T}I4_@INrM+X` zZ+%H8&n z_{JQXK{|e=%+?sr+%+0X%1s?hoo0E~a^W7vD-!$i6MwQRf4b=-_&lGzn|&N$`_~~ue7j!0bQ&_-AdYX1fhFuP7T6rlC1c*+EAC&4ixEUjv`@SDIXCsEM}vRX7m=zN z1D2FuxQ!qlAJ4u{$Q-J3T4}f{ASKt7aU{&|$A>;u`4vn!G|Vgi2|1*PR#IvJ+)5P) z*+Apf0^W!1w6eWy;Q_caL-c_$VbWF5YxKeJK?Ogn4ch2}YM}FE zlJy4PH)xBq7X#P61)wV(cb_m0P(a9D%@GV!PXRbgXxV|0hU;9wY6YO(YB%WG+|ZM2 z@efmK-qP+P2VU}dL$-l&i)Vdsk~Rc>;+$QW(Aj-O_nm;*uiJn}S`&b6c9O}svilsn zT<`*%TL`q^35Rj&R#?yF3`K?lbW}}4k0J+!g1*u1I6(=3?k4cv_t5NGIZ)1;1>*LE z^(zHb7e4#KO^gH?00f=Gi%+b*8Hv0M8Pu@FxiM1{3f=4o zMZajellA^kKztm)OeCHzr+iJ|HcyD(Rvf7NH*gn$&%{%KPXP@4Whk1F(r8Et2PJL; zKT*_Aux_C-H*V5H|GFPVz*osF5KS;g^%xk6;u+AWddt8|@Bz-Jjse@ZvyTMYgM+3m z=v~}7MOakx@oGIsvD(1H3?FF$N9pyXoP(h#u;JxH%)8y`4L{XyMc6_O#A3AC{Z|!G z2G<>xL;t(FUo z5cp)P1d|Q<#ZAEtfo95q6GR4_FRz~guo8%7=9#ydN0Z3SC{EW+73Q`X$_qn0GggWn z2l`^t20xm7{B{P<#6fQzoe1=}Xy>m`v$Fs;gHH;BwJLwr?QaZRGF@ZAl>FkdX7FKA zk9{tB&?r8U~5NCf#u z0q>Nrs02O|z^H$ex1wzOKm$!uBO>UaNDfg&0tPqIhXopd7;TRsCe-G8ZWkCA05Rm_ zQ98d{QUG4IA`pZ?Fes`FQ0<8hWOSlnT-sJcjcLz`0lK&zTy>X<|KfgTA0Q z-b1?)p^~Kz#ZLv}Fxm9=1e*^IKB)3pxIaSw}+~Rv^Zvm?a*kXkD6+FWLTq%kL zF4XNm9+1lHB)4Kze$^Nz5a+oYLHB2Kegk99D)X}e+17@3n*%P)3}D*Birg@Wluz-r z`vXQ%%#u-z!X7AaFn1>%P;5^rv+tkAgdSjJ1qQ|DbJSW{TTpKUDW-12mN1zQMQdFE zg-Xvi|KxmQsd$cM&S-Lb z(tyU*-UkYo5*Xde@k8(>>;u?XS-1-Vdr##f2Ob;A7`JTN&u2tJBX`b@QYvS#_KpYO zq2E9RL4(h8cN{TJWhga+DVHs$HRzE%$EOIe$-X7Qnw=wj+VCUDr662Jr$h$~^T7F& z0lNhBnR0M}Ga*kz&@<~BQdc7JpYSrHfC_>d+CuNOn;r__r#YrT!0rHsKIn@2a0*b! zc$sKN>;f18Q&AwyJQM1e$vgxIbJyP@FgcXq;|2!ZRv?v@yRWzmVHR~RJ`}x7xF!vn zGV~=~U7o+5parviGqePYPieyEOz?_i%E{)vLfp7A7aaHQ*-IShX+pBbRN5g1$?Yu` zr9LgnYY-QFL$5t0j~JKj7NFhp0L_iGYVF=n3-SX-99UOX)*7BeFm6zbwj6NwPw>&{ z(41S64ah=lWE0!;u*sR>W*yz;2Vh$Q_;$h20HZ-liVvVGK)w0_gSez~6>x!lXDrAS zJSWh`B3)aJHD>5=Vj?I$i<6*egl{v0(g%BQ7$7M8GXN)P6(Nh-xEgKf0WB!3H=YTC z0ExkaM(>kTIS(T(#LI>cSzaKQ+63=Wl7|M{Np#<%?7_`^Z$^Rm17geFB3P7QiLQEI z9>6E4U1m;qST|XKg4aY-oL=a3Ai$sG8d;4)ZAnna{`ETN7RWs@e~O**?S<*i;Rjl0 zrUoqL_VjL%3gRzN1TdapzJWCg;|r{0c`~T+n_n}Yk7pXlH|fEH1EVkLCIx_YOTjNa zC5MoQcAQ58&CJjk3_3VcDAyr0$W{f$1UCBs7vt{v{t!ff&>XeQLE0zH&b4uLW~%^a`#R}FPBN$KU9L{Cx@ z@>6yW9u;rBu3%o`4xnHGCjP**K*5JVBKPdJfPtmP_jp*nU~R#Qod{Ss=@L!N3ffAz z?mfz$I`qJESeIu{P^twzM$iyhLS1B93#*+@`h>Fn;SgxElSAjmXU7lwnmkMZ&r$e4 z8{|N(IB%$@Q@xM1l*mY zzubXtrocN--N3ID<1W-y+J>_1Q3r|_tssAF7vRe>*bsu*)EWcM#7CuU$F_S7O3Kj8 zL<3$spEl4S6M zkCl<&|45+G+TY7A;FL?u-F-7kxWHx%#{?Sa`t0T~iF`IYfL&%pzvBiIM7}}ePVHXi zC|cTb{{ZyeeeR${qIw597wy3C@4grNs}~21#z1pI(wv4qL#l8xcAQ0Idp|+P1E1PY z-H!3W8%pUUEI?RudwcIk2*sh2fiMqIrw4Joe}PDpgI1Gv!-_6{Oy$E3UGZr4>0&@Z;`y7>BU@n))RpF1vU_U8EP+2QrN`_f+E2aa)tf$XJy zjq{Fa7+BJ({wh1Z33F6cd-`wk%%-xQE-34rvMZ!_dObf zOWoN?z57AG{*Iz7wQ+zwS_`i6+Z>JnRDy}7<6At5WcGN_wE@EK+T>{!vb<`Xp2J3x|SmHLw2b5|AR zv9y&R_4Rturz}3QihH5ts*_+1#X!($u)UF^L;fY1aX0s<&^ZKUBZ$GE&%?T<+@cg) zmjWE4g39vjwcXQI@1CxqQHf{7+?Z{d-rGyVIu)7m8n9EtVCW>0J{vhFK3+$3%UKX3 z*ZMQj_!T<&h9(5b zItJ&W?#p9FXN!WJ-13gH?%eJgZIi!GQRe#`Q&GZsR?!GOlr|H?=12_zJ@tCIU;=CF z%6mkGbUOx-={I)RvyzYk_r~YkhP+?L0U;!XkECJzbQiEfS5B^G~snP75AKf)E( z#$A}EO$BR8KvG+~fNw@At=Hl3u!eg}@zy6n#k#%dCm*t{_eO#Sx-3(uYTi)nBj7UQ z!CwNohV|PtzqfAL5*!x8o>tM%dnx(5*g6v-tC@z;417aO9CXHK!sBqvLX&n3uwRt! z)51dV#P9L_sX<)@6?IR82p2V9b=o;G|6l6f^;eQKy%Xy371vrA8$8~{yX$0TOjl2K zSL7`+BinAXd5gS6X5=LzBQkSl+!NP~h>TmtB_kuvAh2xVmFfdx8>D5$g5VE8TFiog z53q>+hJ^UQO=v%?*2wZ&VC@200qf=WMxK-BRCRTCRd8vW;XGOJ6%~X? zJk7fd$rZ=N5_z8^zd3fI!#t0XAm8@e3u}tBS3f_Ec87WGXkIEkf1lX(wB7N-Ngasb z8q2BFB9$u_5uN}dA6+2rST0;2H4dt}*&x1-`G_hnhVUiE^>Y-O1Y+PLKYk*s$_duI zfP8-Va_v>5CL{B>vC@#=a+_Y@iAdpF>xE4?%`s0z|8dS$B>MVtGDe!Rx3jHvGy`@? z9w4?8))ORoR^^35msbOINSy}RV!{ROVYX!uih_pD;=*l<2WuRVfc}9=rju5*VIss;J%rekocKRS3*>*d z79^~^

>QEGGF=I2o7w0ortjV2pCbvtSgi|60H6aMMlg?DbgN zU97{JK2|CzP-67T-yf&MKKAlpPB40BU9{je&*WA^Ek8xM_oEwAVU$DV5l@)N!; zA@j;jGIqf!GM%+REW;v2eW52l^dzbpa+7 zTG`x0IA1)10wf8BOqu9w+qqyYFPxAUxy{J0KWV*X-bb?EzTSp^#P5iSm7Q0nnN)Ra zOP{LlzHDogIRKN$hwg2~p{4RxpX%G|gadRpXf9X7=Gv=UdyTKhqJC`TZg!q|kJ7i?6%%)gy0fPI^uDG*|jvHlLNzcMsiu?p{(bTC( z{%)7J3$|Ci=Bm%EdSnZi%V?|k+R2z4$E?W36gxuxs_WO7I(JSg-AWdUhojXYoKZB= zL3FQWrOiQHJ(f?JbO`c9TaD^dq=g#$S-H9IjIJC_hq~Qmoz*qo#2l(eZ9i?5Ba@v= z?DRZ{)6+~J)!8Kz8xnQ6tdPu5KM~HLBUfG5MD5VCD+r;n;DZ?e>J=m&6<0%ZER9yJ zx+LYt`Pf>it(do^s&AVo=fw>-Vm0hkgF$&T4YXxB2QR=SrSdV)fx$zptXC6~g@JYGC#Pe(9WRk*((Mcf`jP4@ zlPu<=rU#BEg=Tw$Zp)pl*%5mk*U>&zTCG4dd-G=2)0A|_UTREDcJ}sm?cQBuc@vz^ z=aJdsmi>8kgm_lgrsT_ZzugS-GvRg6mX~y6*?`g3oLoq)U9(?hPAgqIbP*)ZW!q1~ znNB#22L3@FAO?SNF8W#GB#cAFi}D7z6!Z?;fM1aCM4ID(n(ybxY<Kuw{2f%$;YM z+J(Uy0X-k@4+W=B0N$3m8uC-nvuyhtQ}1b7ysKs$(@1HhqO-Q$xsOM3E$viKMP{V8 z8s~W0r}O=JB2J76YQ4<8Y}ElX6p0T8wl9E}Y&(PlJrtZhE zYIsXL*F!$UlLy2v~lj0u2&@GA9q3b8`2wnosL z2bG^xKK72~#ijwsl5=dVjMkX15UjP>4V3y+o7AfPQOs|8uD{xX>ZJvIGDNv+TZ22U zh;BCZ9J4vl`Ln!{rj8XE;4)k#z}SL46mxO7n~N^5!Q9*%NaZkkD+DF?TzS*5kZN}X zhex~ygAVu`*}-gQ2=1&$E$i{tO~aaR2FTqD;80m@gRm!DIYonWBq;qJ#Wx%7somKO z(>`q;&A2XXw{B158puIJ%=!?mnwP^_%{msh)F;y#yz?uFYh7BmP7FvzsS4r6SoKFZ z2>YIky~kfdP&qozT$-%GA88fq16Ld`?LeSP@NM72D2scw{~@nS6{|v?5VknU8j5tn2Oo z_7(^-t<_ntwb}J%x-d8-W{myKapYQ+&sRgS9NJz zod)IOc{Nc%k+KD50J07qL;you2fAh^!kvz?>1gq!$?-<0lJ?HG_PUU%lUBDSfcK_R zp`y!SwaM$7{GhLA#XQ+d@Qq?jf~~(&rn^&%ho8Y3H)gzKx2uyH$FGttX;Zu#JFsgh z*}4`Eb_5kIZ^{?pkhMFZyQe2?Z`dlH>35U8@6ye)DWK=NvhckHY#vb~)+N|N$itStiD;t}E=x52PrcG9e|Zl^2c z&`j4!y*E1w8Bw%4hbE{foorXPWncq49r<{SPF=3n6SVv&Un=UXw$XMcSCN~Rw!vOy z@V>{!mt{)_4I1DbibKHV93|u7UNttiQmbo_zy@caBcEz8afcuO( zE{uYfX-_9r5L!8dSYXQ5yc#O|C2K1iz|yQ$XXMi|XYRm&0FSqc-7;HcT#yLIa%D=x zK~x6ggpn-@83|stPKOyLC;sm)!hBQ)g8YCc{A z^b0Ow4%AAL9SwDO1hRo*=CP1*OHq>s_SxDTPKhy}wU+6uc}D8cq{$8@TU*PaXK~}D z(lvqZhc%z>z4lR5TrG$A(5ecoPruQEgN|w9oLP6->mD2Ldh#IksUnqkf#2 zQDx-x`ZX{mf(>{O!aN~+7CHKPV?VbM&Yle_up-riNHeEO<5*ej+(UEP8|IU3!PT?g z_KnmUu}#%wn(ox<#U8hy6WMI)BA7*?Gp_|CICCC&eE?21drrNZX7hAir`2KP?iZ@B z((bwwa))Jia^?S7FM$+mrRuS<0DH`q#R1!?j@CmdjS2V7b}8mkks`C!`ixQUAo##s zx*^qKW}V%zUmns{-HahWp=)s0H9G8!7VTDF@l12vD=F_kcquRD1lmVNQc@? zXoLrbsrGSJ@*`OVCR&B_T8kD2k-4t3OViFJnVfK(l(kD|0}FINt2NGQE^#ntg1O2f#$n6IbEgs71;=!658N-D#*6wg zuR2jMV}vRp6>4)6T85#BO9fG%?Gib}5iI6d^XhuAKIiI!7PuClwa@hCq`T9` zxMmIKZZ>s~e3Uc0o-x084bQB$rw61z89M;gGq|e>M~ra{t+i}e2W~#PAYpQl&8DqO zw)cjx;B<%N(V7e36Pg0dSODZ3wRx=0FB#JU(?OzwwzD=lxw)r=`gVPR--h@J5YMFP z`t;PCjo1Q8#ZKsMvveUWMs^q8X?y$HhHQA(s!I8`IDvx*#_;=mz^1u&j zAn5f;Qcdh-;NabNp7QUvD$31 z;X!r|!5D;9ISdPnaowh}4^*77d)fzCFuX8ayBmo|n+<^MUVsLM2wrm{2rPKc>-+n2 zS%Q+0bR$sM5q)?t++KC;R1mF2d{*aFb&wEV&t7$p+@EHfbr?5<%#jE3oxCjzon*50 zFAGZS%p|YB+ShQ_8*Z64r+01oQUiLbwt@ygGfRF|_m}?4M@G-Gp3ck5+P+!s?T$T< zn-tvieS0qDi{5;(ZTHQfX(cS;Po0xSPYDT(uWb5*cw*n>EE<*FCL33?ZMh#wZBNL` zyTDIcNZ56Iz)g&1f=u|u`+zG?Cv~Kgfl4f&?fU!Pta);{6<0SDqSKC%JXYBBImc4~ z?|}x48iL{&5k$K`JJEg5Uu)3wGwjV}VJoq0+%%WmDxW%?{$3bv5h1)>s@|LjZcgpx zeYR2G>aED@z*^7wklSMobPGH3EKLHrzZ9u`=1*-;Y6=4+FuSYz1Q}(#79K{s?kPDK zS{b%qGNy)sKEheQwkG2X(Dc!Isa;k;pJc+e%^sjT+u9?aLfcCg)tcE2`x1>ndoOF| z7i2DGE$gHnD0|I@^~JX16S^tr4P)!dH)mV2zVSvqzsw$ZIQcX_9W0nRZyh%CQ5)`8 zy=`W6Wx%5x?bv(`ie?A>8!t(| zOtcG_qXj~xY|?L7y4aqo^B@I@mggyv?v8}Gf!N(yuq%@(u(G(X;9$N)Y{y=PsW zfC*Xmc8x{cRQpE|+-Ms(8p2hNJs{>v^bMp#e2Oy|B?m^zs@&ekankDVjRDh*dK8@J zu(+CHkL5H61LO;kj>?o+2(iGUf>50YA1f) z%jSzSKsCFeT+?|Xmofn8DNhv|mOl}hHflTAO%r|_I83Siw7V*E7-`lGK~UJOG{pdG z5ezaE(0t=zDZRunl{H(Sq1XKzo>gj+1kUPKCGnRr2uT2a2s+w${C1Gx23m- zl>stkn@%UuW)TQX8ylhFv)bfpM_a3185zgRe%s{_erj0LsJ0n~m5rbzRvu+nMcLxzb{G&Y^v|Btl#msrN7J!}XvP_j-Eubs%bT5K4u->a^9)e*O z5@s+F$3d;FrJ8K*yUkFqa**Z8Oy?lW+nYhi1{YJxj+?`I zWMh5Rgxu4`l)ua^OE4$yifU8sOrI!LKgX+qZ-g9qVl3?TWh8TlJ+SfnTV>8xR(Ad9 zxQ){a=V*6Jd{8hVyv?GPmd9oqCmjShLq6)Aw=CZjrMlIIyK9WX17NNuZJtvc&+g)! z@SevdMTGPB|TC`2FMX_bCTAantQdIgR!uodDhG>csT9OG@>UBem-w8 zV7>>hxe!Dnwq;~Cur>{ojITA?_X?Y@10F1kDW69tz)WeW!g8R|^6mMFo&{%JEp&Np zB^I?az>Y(FnhLY4pz44s=}T@gwftoroTHKuQG}ED%=c)B1u||OdloK&)-tI!JnVRW zKUzrY&^v3L*j;F_;rnog4qFpTZ}-q=D?57a)|_e%97w37(+@#AUGX-FCcu@8Vj_ia z$#pbq1+z!=nUNNmYalVemC%=AaMzKlT1`0U<}0`hV0VF^%<-y*F!lJT%xgS7Qb)($ zuI#Wnb(;5y4FL`Yr@Y}iaIvqv;9N;!##oKbwWxG@WiSRv3o9NfGP5(RK4k5z$T8qu zc5|sODjTD<#>obJyE?BmM*7@j6OcZFYFgn zgJa_`5Whn#uM@!U6NEr1Dl zU^2pUD$|oSe{RabfaA7>4-~qfe9_$*blDcC3&;;tv+^dLLT3dsvd}N%4t~J-e#x_P z%ZB`g6P0R))A>;BsLS%WwU`a7U}adLPRp82!)do>4`$O@u^ydVth7#Y15uRetTq8r zdvhXsI{5ma$_)-1f$8=#%6eQ|AVIzX^!aO?YBKPX=5!7MC}hbVCD7nb7h5lK=gMe( zm^B*Gh*hSP%E*V=W;5)O^W8O&&oi71P`H2_Z>9+$g10x9Hq4GesElY>QteSv4|X8z z9T0HpB0iEh1&JM143LX*4E$?>ca23cl6IN*c(ER>L6RhacWkV0c>o?LD+1+Y6|T?4 zp;72qWq!PyTy|Sa>dBLBvA%uJxtzxBv)nqaf>|C3eHX~Kp&Yk$A$N?91FMfd9(ixJ ztPCoEHT0};F>c;6;ze&Y5*KE;m~wX3*R;lZM2XRIOYLXbg*K)q1^Faty__AOgE7S% z$w(lG_j5m5QA=6%k=Pg+ArEm_cMz4kOr^^L6jWkoBq1NP)*6NMNS}5BsWIn0v0``9 zs&BIgSP^ld`)n7}{pMl>-M-+_CrdBqb`>ZT6IY^ILVacn)j>Cy?u3~_i{nXmw*r@2 z!{pEYa^fzQu~oRdv35F(OVy-jG>AXlY^xdC{9>-HEMb;mZQP)Ru!_j@85D4jb+oC| zKQmx~1DA1NIa~$441(A4MC6RP>-bk~F}2?^X$8QdA*`~eiM18fdl$vHqmUKwR^aFMfp6Wh3=jPY zg|R?ddh#oBzkT8^mmMpS`cW5FijIq()0{T9XDf-6aidYb^fy8~f;+wHFaR!F;?%?p ziomLq8eQT9R4P*?Tw6;l=u_e&zrYIcY#IsZfpUp2Gvs(Q52XIb+(14!@?U^z-X4aV z7U5kbbdZ->0^@9mEU2yHD$91S?6~GWY;otxf*qR35IAxgBg-=DMX+BD$gGY~aVNo* z4`g&MFOJPHa!emqX&(uX5%{xKV5WC2dlXxscI~0PGT`lLm>qD6#-MCU&&-r?iGp8$ z?{~x9W*F3lgx|aZ-WY}O=`XlsBeOH&cPj6|&V#Zl2PbUtK3!*r&9XZNQL_;>+8|s; z`5hBSm1@k~dd2amceig8qEqyR?H5AIupf++r(-`W_#)) zSgUZl5uM6fxrPwLMSZL)VD768xDn4|q-h@rZwrDAZLi%&nW6l+LlrkVG`lwL`KNT=($r2cJMM5k| z@$3ULJ}i;8O<$bMh`Q3OJYI5@DBDT76pHlL8Mjf=>#Pqg$oR1>Hc&eX^kga*G>C6u zshlR;dAu0ceW05o4k+D;rXnw<3Fj-4A^J7U2Ekx7V22)8rUczo;PefNxp$e~D(~+V z3G!Ck__3K$Om40xqv|3>lB_xsdhOMq3UxgiAJ6g;WJm{$D-OrbGKf2qK4C}+Dd@1W zJ98?7u3c%_QHmN#vu1Y{=@n!YR@G^(Ql{7asEPz&P+d1vrwY6?rOc}`=eiphcGhq+ zZp%CPoO;$)ho=|kT63|l1mzmiEoR#^9S=x7u@36*oF?#PZ|7lK(|`b*?!99f?k3Ny zj25{8K$F$&$OwGP;JI4Pqk4~=ak<=L=X+_{F=llu9A?ITDN)Y3A8y3)dN!wb$4xjt z@rzdXe3(e^fsz25zz#Z_!C_|8Q<0G!;WX^n@_`Ckv2026=14c%lIT#ov(TRJnc9|K zky!45U?0}&{$MiPnG&H6lIoTD**^iKBOGl($eSm+LRHz+&p{A@vY2cvZ!-ANf*FZ# zuLo=+MQ&wnf`D8WE-#BRf8I0_C(p(CF%B1?TuvdrmU7m1QOzglR@g&F?qQexvA9g(rp(#+E z#&OfeOUx_XyxI;f;5$g-%V`i^9K%AKnH?;N{*Ueg6BlPKy-bJ%!IMrPa&?gI_gRC$S1Hj>{`{QwIS+_1t`06?C+Wl z=7^w*wJgRIG%BcVu-E|$3Pl&iq!K3WN~=B782d?PFlR4quZ|1UO#xpa&f$(h3ld_s zu;hrIki`^;0a}w}(`SyO=*()}Agq| z+l+LoR&c6<5Uy@+JEB_mq^{o@&^ZIy*93!97QQ z-=WuCgW7QPbhb{Q^9W=QWq{9PbE6a|b7;*_sjYvSTYy`paGH+F_2INRKU>uci7f>N znXB1&K%HoJemZ8lD%9qg(OFj3qqdW5fGpYA**@GbFu|b{SaYI3vx9|mtmrEcn$>nf zYsU?bb-G!xj>oyNX%9oWg<@M9y^07_4h&asThv2Bm6y0-)HIJ8tbo=LjvS~h4puF( z4G>Xo6_APgO%wY3Y(i=!EE|pstVOS9wi=2M$zo3zmtf9nNduP8Rd7b7wd!`amP1`%qC!vNN_?+1r%~v{bF3!xsLUt+jE>!>$0DGEEwf7H zjikc!^JRCaHkP0Vot4uaY;W-h(16U?GZ)ICK~IhSVCwBrW5Unc2zcpqZD48ahL4%X z1i-qMd2|%y@*}sKEM_z#{vPggr;4^QK>kA#*m|Y}|(dbhR zZuCuS(c-3%LkqfQgP)oA>+Mc3i#Od0@&CmnPOhz})vnPJ)4ZlOt=57TbABJH)Tlbv zHXN|Y)}%eWXgMG#u-yg$@zn@UEehb?H=IqD?Z+a+QD9~|&Kt5Q+HK%(whiRm!3zmo zODeEzSFvl;@Y1+&EhJhVa-{Ppo^(**7Yg&NTBj2Pw}WK5O0^;;2^8(hi_=Xh;@bB#n*)3HyiwD zAB2ZFAPV)Rhs;oEJU&%tmE%=^i&)c}ks*n@+i^cEGLIV5MxjZcc()kknhVIufemYOW3~7@qvb zA9QJTaZ1X4VHi0mq|`Sf0f`ql>%H+&Xt|s8Oi85oE?m%uT zcTY-GZx44>Q=QZuMm)BGL8h`6&fH~(3p!(u>bmo0rDG0P+Z9w222m20>vk&O%8X@d z4|=(@wrwVhptjI!S?@4!+gY$3U@w(xD73eakRm)!73fp8)7VlYZr!aQ4l)|!7?k;e zbGkGkFvo?h%lc{xv7l{E@KLNOGcdURWmr|XJegO8a3lwH1L@#k{HkBlIVuJWr}LF2 zUs^pPqo;Kub9YBm+D*IFx@)i1O?x$#CL?AdquEYY^KOO9T6Aw#t*TxYP-DWCp~* zbRd+4EgZ5;dZ41c=_q~h!N{X^-f}i`7RmY`eX!2cNK^DncZbSgSKB$C9aYE|SPYPT zbI6Z{q|Fz>#x~)kjn%fVI&GQea=m$3$}xzboE^A^&hxZxp!yK1)e6(|QK_!M8XqDi z3V+m6ZiGO5b?b*J#{q9xE3eG8r#D?M%m&ht3stRoL@BA!N#sDXvBtUMlKPjzj_4aW zbmN9xL+OXXB{`aXlr3BVOt`3zS}0HEF`(;QRZ+1{VHc;Jw34N8%M+c*nn^@A0A(S{ z_$f`ZHfY67q0&&deuv3MYa!3{Dah0f&EgGVBG3Enpop zX}Ro37p=WN$!wF_o5DN}~IGu5!m#*UVFZN8qX-JZmOfnXdl8>*#n^}P!qV!6E0 zG|p*{J@+IkJx-|{_RK{+0Px69a-d4m184%A-CEDF%2p`2N$OFdo@LLriU0dd(T1oC z^LndCBNN3Oo=NOr$b!*mdCWS}s7FQOnq&AS#ia(jMVE&VN1cl}mg3e@A~>>2ckQoH zyQOUsqlaE>!Sy|0&Q#oNtXYDiC1%$+n5_`)s~sh3u1=0zvh_1+NCyhyQz!Nypm61g z@2)dN?FkoagPh)JWnDc}9_k$q=!y}nA*Xk~!7wO3nYnNcF~fB$T6UQoOEAjppwio? z`X*&bozV`7FDr;m9+{pA_S_-GWzjM{R%D{sYmtPcp|II>ms7J6(;K%_n@NH+wf4P6 z7yMk{yqyu4s(Yz#w-xMw0k78Ej3xR9ZQlrT`8;ZBor=jqNP4qFLk>uNb9T|{jR_y_ z-ld?#B4Z~E&ZmZXK3#$y(kMC8$SNp!KH`tL*9ASD*V$;>g}}GuwJ;tC1Z-gg3*xTr z<~HD~@v|egPMKe>j0ql>o^w2|fWNp-c7*xnf+X%5INJAkNG{ zouA`qF|v`CN6I~@idwlidj{~V)goXkO3MkAihMLsK3rYuBI>k?H797$a>{J%CY@H< zt$NZ#qLU=u4f3in@LwSm)1oWA6crh&<1R{^sHj_gTmrtl zvkA{@yPJb77$r|dJtXE&K)fn{}O$a@0#}{QWIwM2G>5f;LWZYChz3_on zX3DeqO4_VJbTy3!lWy*9%x;bH`VJHL>&C*IoTFn0MoR};GiAYs2^$hSUN6NdgSaV~20i?^ z;Q^Cb$0)ETQz+uN0)~&u0F#fr*g;wzFi?d08SzFa7s=KeonneoszMbR1a!H<)rN-^ z+h)z2k&l!$(8dsnN+k%kH8(^$WG!j8Ips7xp(Md@FO4KI==4Mj*x_>!=^_|#L`NUH z3J8>_;kG7qP>F=k_t{Cv7RmCIhZ}j{Z)oZH+=b56o0ePcEyp#>0|JqjnrssF$5CrU zIa6>15S=_#=zv+7X~h~|deyb$21mD7o0xi_`+bxgj`)>Ri;>SOB8$sb7r>nY4(l(X zVXxb4a8)-zp}EF!9oE;osj~&(*s}4ELCvI&zQ9MZK<|d85RYd~Sq9~h*1xb|ROSxj zUY&Py$2prQeMZ(uZ#HA2Agd2yr@=&P)bH0(-)ncF5seNh&s8}zbMquzF?^0;cX2edBeNA6J1#E2Q7 zK14g3IaZP*65(lQJ6I2=%4~ivpC@f?P0beLQM6w!ePJ|_55^>3NkKTF8WW>ajgrf_ zVN68!B7V6dxgNGHN2htl?6hDFuIlqj0v{3z3p43dlB$%O1@QAAYF(UT zV`)Y(Yb4JUBr~9-hEF~gz!&%)5EoVxsRf)GlP2o+^*W#x=mzZp zb7{w_p`+?(v<>5M%ynL85 zZW{I0OZkNdVO23lySf{Zu>knoEWjtG9=O;xV}P6~TF8IYVPoV#6`mSY|KuowCa=ou=5Al35RHkY-< zrjELOl6dZsy@6;>Zt_dJm}7Q;RQvT7dNr|a7-4nI3xbVNr=51|xLsIPxGUoxlI2iX z06b0{>WWQfwkx9cEanx-u@WszT2PH9@#v_|7zQZOWbUnYb~_$eGqEFfkY&E851FJ` ze{*9^n3_B~QJo_LVuPc4sT@zpYmTZmIOEtefS@8>OLbfRIz=mQJUY}y3;+aV zj@OG^?KZs}Y+GRKGr+R}+koiSdz8*2`EN_axtX=6p>$x}M18ZxaJM=2XEaNFYP~44 zJ^;bI`34pVBgL`eLaud{S*qrhTA=gj;1!}yXMa-#z)C8|QJTNVDSZRa*4g6D3 zcjJ6YxK^^QY7C_+C_I-%eaOCo=pLZWsmjM4d%~4z5q!UNYXMe!9&8YVhtNgAoe9g@ zZ9_#d)Lyg9&?gVvUkz*C-)}*`H$rkidnf`MyTIBNQ5tQ$LBzS*LJ>@$B2beC1yjH! z2o@~GA9)K@G-3q-)f-RJ5xaz4u{N0LNe#(7c2>c8=>r@KX9sEkDJ=?Vozi)Q3hlak z9)mA|&@fF=Uj=Debngjhft%LKX3QpLmXA{l_u}S#n)STo`dyb!H9x|ov zI=7?S?eGN9PnqEY4jd+c7L=2B`|PF<&egx<<9Y4V#0x z!ChZ!Cv}d}u|Xe<95dFNfiT-(z~^7oAk;*3h%yUU z0t+I717eq;gf>rEL)DL!nU0wKp`wynN#4A2rYKM?(rUW~uAiLrz1MM{M4j{bDcMAOP z0N9*^%mU>$?6biJRJ{UCnBn~q@|{u8iT8Se?SNNvK1xs%4zJbk*5`xG@Vsrf=b#;? z%fO zaB5-3F1__vqKsQuUH;do|mV{e+4QibV(sOkVG|;G~Rc^Gj#)^aqi}^6@ z4A9uD)@&T@#bP8k+kWD=tF^6=pNtI+jua4Lbs12dqF*ag)f^S+B>h15)di`Ay724G z*$_1<32;E>Qf7QypGLV)_>~Cn$_7Lm2pcU21qWc6)Z5&qpf+f;(1N8FBK;_kwg*S_ ztOps;%~h}hIMEm&c4{g+5UY=8@S|M>_!uy80Md=!pJiFau zxascOC@O@4L2i%mT%ibRzn=}!Ym~t}&~q#_!Ghf3I>2{=s2cb_H?Y|{f``iAD;oma7y++AQPYV5gzm&( zT4(Ueq5^0VDrI9h8qp${x}AOlq&e^oH+y5Lhr)sk5;=~Og$cQSLQPY_#XimjlGm`4 zQO|%mlCy9PB7Bfxfe=wu-BU2O)yF9-uF$}osjp5q8WOXoX&pN36Q$Cpx zE-jROK=dVK%*j?_>*=zJTtU#mlR5@R7iVpQLyZg9m4?o_nLznEczyqv*~ZC0JV|dh zgkjeXitA8Z;N`U&eNzxRpt3qSbesr6^@!!P3RpTpl@!ry=Hd!Ic2=^#zQ zH2GKyQa|~G`;pXo*ZCG&vA#V~|Lb3T$9ihLXMNrIt@rTB*Q_5+Rpo`IoDnWn9ydtt z|0Qz&*B$5XrlO5+bMK_8@#4*Y>QBFP^Yfq54A=cQ$wT9l=Rc+ey738V@ArP8Xzznh zwP!8y?&QsW{P|xIEu&=nZ~$vYn3U|el;DGt;-*F^FiSxi;V*epDp8`nk>IPyR#ew` zl39jdQe3yV#x#^9jf}XYL`DgKprEAq`t=(G{}Vg#OIj4fF|Hu(e=Gmi2g(@_duj$z zNht-s@quo8h9Bcf#Vu({Y`pjE6EX!)t)G3)eA!NZ^4p)>zv!2515@(5w;|-MZ}X{& zK7H-UL*rO1ue|10zseXrH2?goweyO;IlqU^a=!+gpZW&Y30duUtNh`y#asQ&m)`uv zb^P)Q{yS(EJ0SYQ+YY!Nxnj(|`8t#SFlDcG`77S;#qIJ^AFaiU9lYNi=-_QvZ2m{Q z$0EYEu>F0pU}wVM{ZeL>V#6qzb`&T0R7px|kXR+pNUT7QOMCld6c@*eXOxONl=umj zdtQpIAa(U;r4q`XKqNpw)iDxMO z^$qWC#;4eOen~Y-Nb^)&`+`TRdC~AqCg8D8Zclku;sb~cUvpFaez0y|;`8EG(@x&U zFeyIS{ntl5!Rw{ymVHqQ=>P%bmEfU?Oa84r$cgW&VCML^@~vkj7M<5^6sw2~pGYAH zsQ3va)VIFtDxRt<-+CWyL!ywkb`3=*gL=K5bc?*$^_~Z*g3Q*pF~biV=K0%d5o`Ky zy|nLMC2?MH&F+V{+#bE>5A!K+{O&kti$fA4^cTMBj(GHrU%job@+R#sy)_@b!dGbI ztMt8d+y7ryI6QiXx6s&Ed6!>)Eiv_|zpr`2EBf@pnf&}G?<8NL17T_3e!m@$#qs>l zd>aQY6in;sRWW(3<2ijep6^9SaXf$h)l&A++kMs*uXvr$7g&!r?TnqxO zd3df;|6zFUet&UzDsOXmp1$@8bL+(O*T3f#ul&V&%%honl^*k45d-KEaR1^sgt7o7 z0cF<6YZU6m%jYk&5*zvq`S!Mj$r1i3eFVoWQ7oV*=gFNyQTi?vwWRo`^j$S@^*HzN-)|Hf^9PT<{kZn)wbDnW z+ih{`ef%5FN0lG^`fr3ERDW>Y$j-0V-hXmGSU=Qf+=i(T5HiN-W$W{?M*RFI{2+^z z@RPrYpHfdXqEC41m#u%E*pL6{M+dTAb+1pCr7KsQ4MmWrjEjQe^2{EKdVcK+4t)c*DxPwij( zomceo#i>=^e7{#;vDlCYH8nrk-}nz+F@O)#y!l-i z%H!mbZFgtc#u|*rJKGr^W_$0$FiXJ4U-*THY`A)rkgZX;mE!lGz|4$O6*+ov7v0@S zl;AtFt+2ky+Cc-QAWUrU-f|410PZLc63Eu9Cpemj0r@HG^>&~=D~Wje%^obwUG%50 zdGCzlCo$|EG3*$in04*`-T;%B9?Nz8ETYTlPrSeE-I zs-hiUmV>w`v*9!&t~9&}=||CVavgkR;FUq+g_G>DjV%((_D*QRWdI+W?S(;<;Q2Sn zd*>s#JFSWPt=N9V(7yL0+?)rGjNrF3dyf=2_ARxD1ODHCX~Vxtr+mdVgSWDj9=+0A zYVeKU=#iG(e;W(?(JQ^3_P)v+v2SOWJ$k3N)#6uqt6%$SoBq+;eASk|%3H86h|4c6 zdmg>b+iLNvyw%UYS`^+6&F7zS!7HBm#irSR_us$bE2^~ug`tqb+@5*{?DsQ z_xHa*MIrtD7tr6o{SR-W`A5Yqk8}_NI>;+JSb9=)F~&igDLBF-dvC*~je}e%g-Vo= z@YcFFF3l9p!c>%|n2q9CUm1XJ*hvuOPsk~1;bzsq;S56>&U(1ugY2qA+}bZ>bB5t3 zUT|CioB7+{7Bu@{Cm$5ee*4?+#-%5&twu_eBMgA<;tVITGP=?%AzlEtKVoNiTD4xf zi=~yGhLNG$8andcE$S9SD}bti2i`yY+Lb_c4CqZzkMI>d-*>kb+Q-dtA4axDlo_*# z9FU1LO4rGR@^SxI#N=+zjo&M|cAVgiNPi!chM)WNa6j7Wulg2S=xgN{T~*efx~;FD z{8cq7QNMOGg>Jv!)=Qz!K6$By&vte_{|UrXpm2U-ee2GcwVu4tg-0iA=YAx=^fGz$ z?r)*77y9|x;l@u5=g&U>@XIgPN3ZZzT6tC9ceiQ&>Bn2*US_=b;cdd7zxX*Ce)qL! zp9qaDgvQ@_5E}QRRroo7>~H_ee>r~i#y|2dJQ1&0psxt>-na7*n}<%?e;XV7QGeb} zdtd2|-iDNU{6=r3y|3~{O(NpHgvfhXkYBciSM>Tp4Y)tkAD_=8K>cXxlJoBFh`t4= zpZ_9}!1tgF>Oo+WGv$6~eeN~4_i}!n?5nRk-+iO)Mf&)6AGX({KK{q|+x=dR_|ISb z;NjqY{>|QMJo~V;KsZ`cLL2&o76AlO0_fN%qRv6)-@nXjU3+_}*KGRhPWZ-e{f7^4 z?cLq{dHz)*i~chV)}z~;+iliokIiVuV`QR$Sos730A&SMysabnZ37_V5>bBvY(_7T z18$JuT!-taRHG}EN-2hG0?Gx@qBsJt$d0$y;KL}ty*9A`f9H*-;(vRXir>DC>1Qhi z_fzrcw%3{p)WGPkg_mc;4}9qE@Yc8`l_*hwYLpa>K%hcQL-J_pe(C!k2Kq}kfpPtJ z-*{aA=wV#{?Kc?LN4LG!xN^Nw2gBO4l!$1*D`>BPc%+_}-_+gG(~nBkl5GOt0=FRG zHmMJwO+>Ezl~Sby^oN`hFF^{tXWU_xkr> zsDA&AhwA@&7^>fUgQ0qK+iMNguXKikmnAJksS$k;fPf;jao(lAjRmNtwhK3Zgn}i+ z-mSJ9mHW~AN^Lw0=vQh6WBkthFWS4Ge=re+>K{Ce@jrZnF@AL0YmITcKZe+q4SR19 z(;jgH#1V*N0OM#97s8#V$ADKN$N|btN<;u4yYGI4zd{QSO~TIg4y z=H7Pvvp2l$(crz|ofy2)8xP(eKMdaB4F>PgZLc+WdiTT9x5&6W?H)=Wlq%1f_4j_g z23#z#888OE)jfRc9^X%f^}(?CPG|%KcZ}uQF>&xCF4^&n>kkOtlFk3U7wj>D$^TJ2 z?U99F{EE@}{!63tB5dntKh?c^k@AXfZnIQ4|Lm6<{#2k4); zACyOL@bK9ezQ&Jq5BL2hKfc(}fAMX0wEGrj?AE>KZ=1crPhq7J+e*cn3ssiEQrMf%c{E ze;Cs*-2}$<9O+a2H#ATk*MXzSQuGGxZpAOdPQ!KKFC+ZG!H5MYJ>P zCth4V_ut*;I6O$n&x)QrYWRM}QuP%(^63|D$$zJqulRtBvdDi%1TgRfIPePeT`}1o zUnTF8C)fW!zPknxQL+^7zJ2=MlPBN2lhL;;5UE#SeHYoWfCb|f4TA{B({(s1{h>=VZuH`Fch5UM#X8mZ@5!>PZPDB5d()S;I_x%^Y zBr06>S*3uW6!=tRfZpR>imz(Vo;)exkBF1@PPE;rCBz9wyhry7pWtPnF(N4zmZXbs z3wZ9c(l$s7ux(@@hZCNVqB(MK>j2pjFVoe*Tqx-1xOx9V7&rV9;YvgYihxV}s4wvq zWmD`=K#YN&!e5L%Q3>!Q0+q#F1^ynmAA*oYLOU@F$a4w&k8qD1rjqkucacF47OGNVE-!J8NBWD_kc1_Q@?`k2P$h+L5n~LYhcuCFp@Wbnj zky*QwSC4gs;>t(gJytp%ZX^%-IE`G0vu{{Q5`IXLRr`z>Q_nOneTJ8(?m81wR|)uy zTg#D>eXN_fHPoMx)T58J`1JI?#rKg*9e(tU@5beC;KzfFb&|y&)oSkpYece?KH?GG zeDBs4xeYD(;WG;l*A7p=b8Y?EHLLeKAAX2CKm6YNa1xP+-hW)ZeqQ_D_a2(MBQp5t zm6z7OcYXPe3x}tVB?*7%{R?6y3xHR#dU^o3V|n?u@&Y7|z|Ef8&x~h9&p#xq_`~o2 zOD`WF&x)!1n1JN3ZG3#UnZEyCu{_9>!UYrGH(fM#*Numrbkj9%9mLi%0~ZEw{CM_1 z_YC{2p4>+Mew%-Ua5C24D>_Y1H?oq*P9;76oT0(mf5V=^|L1$|XZGg$^-~`y_aA+O zbk+FyDvz+Ll=x#aB43D6ily{IA0LnI{RCg<43}kBsTw~cKRor~{rlL7iLnPH@S_*x z?t5S!d0-iN>5%v*jkBSpiSaRl!l|2l;s~V&=8;EtNsm5${v<(yKNY%=VxK%;5$)jP z;-vr1yJV8zeZTbXb@`H??(iQUlb4Ul2mOK2TNU5fF4FfsgZxbH``8Qg)HUAy-g}?K z4^MvnGuIx%3v$n6@=rZ_oj+01lt*Xt`gS(IbhdvUY0CY9{s7E+QB8cSn*Ps=ciC>X ze+rQAw!pGhZr0Uje0$S?oZliZ_;u$uZ@SEDAj$}IOPszWPF09+ zA~5c!<}<&)4VLq}q@Q1R{@U%eUw1XHe&)|V_VawE-{gy}wB9%Gj3#mdc~HBEPw1)` z5bcYQ6p?f3ZYAHZRXg?(XnOkIGbHRjSW<7Lt=s4nOX+W7XkMPh*Rpp0tJ|1?#s#(oe*k$ zh!vDH8;{RT$HI7WKlkXURDRg}VqYVEt$Tj4hl%~4Zxj0lN9Fx$_!BuQ|2&+qB%p}> zhg42GP76|@Psy1ty6m>0oF9Ewh?}pG|K7+=8-4G#A3pc+{9GcG8br-q1vtF*!t#}x@iZpX~eBYnC@0V0$l73XLy!Ql-;%B7Y z2Pyae=U2F`g+jRgJQl*260SdYTR~q!xc=sE-4@f&+_m$X!u3sDNf%@`y#-g&H3mRE zUQID^Bh{MK_NN?4-@ji@g@*_Z$~)H+K^ot?WQfx63NMj@D~MC71gIO~Eqhj4z`p_a z33xBTEeJOTfZoJ~0vHT&zMzOEaq5sKlJ)!j(o?ihY@!cbu%x*U4=i{|V&r^-F|1^| z#`z9V^B$oz`##w`_YL5*KO6DO_Y=L~w#DN2h@tli8}Ic^yPqz)tmK6+_eI0bF~Ft= z8*7jMo+~fUo@f+~pFMS#bvC_AI-}qOqozpV!tjAm4GzGM3BpaMoD?2HBl`HxmZS*v zTb=&6+HQYbeHH>T7(X)ToX4i*(-&>YZ~Q7-3~i|pS=DN*a%O6+E8|PG)WM+r+9%I{ z%J$$Lqe#1(zx+SE^NuZb=c}y34fh4-CNHf2Kla{a$yu$*7JMKEbfO!AkU;dJhZ(I9 zod5w6JbgKeFY{*Qy@M*V9Mqt~>_5LwoQR;=dwa9ia(5WW_<-h{+zI}nL0kU_{$FUn zBXxGmn$C@NL%_}k}DxCNmOpSTMCVZm^Pmqq6T{Fh4h+RNRyPrbQwMflCA zkR(wCwK_jc6N81ud1xa>=I6|xB4xY45PPQ@E<{>g1oe)NZBAarbD6;`akZH*)S77h zD%!b(75!WV94qG_b=ite%R~ZXTf=zyz%=C!xJy*NBH~vs2+9p z_ao=_!v5Yl&qHU`8+oh+d<}vqNT1`=nZL?f5_;$Eeg0}}TDAGNiFfyIppVlRCZ9-3 zqm>`6zgs(RBahUqN?Lfv-<8}2<9>=O*Bp|^nl<0T43_C7G0v%u_AVb_p4ORjLkiC@ zX(||5y~FQE-5th=E;*0tf=ml<`ijCOT-9G&#q&2)ib6~1#=1Ff4sP%N!Tq0=6aV)t z&`9=w;N2*q%RICvn?9gJv2B+{#*p~63@LV5*XnsRQZM5dlfx)JoXkm>MI#7b)N?k3 zgNZgYvW!!Hd~FSC;fOQK?tncy6dyT+b5^6Py$Nx%zqQi&OUk1~y^}BI< zg6kugAN}1Unkk{-d4CMQc)hUHASM_z=qC%AK!^Ih)nL+Q3?q^Ya$yv;+uptAoxW>{ z+>*>4ON8oBBp%~c{H+tu7blBER~R_qK29Tys9Hm}F=NykU~WiDtP?)s^)w?y8bf#K zZNW2BJ~sf4Ed`9^jFJkv50f?1!aN`l>E2_A*YF-I zR?j#m`_vlj|C}eYGlPlPc3EH7{S|VL+t@D>6G;rlKW>+{#(Raa1P15U#4J$!L^CH& zesSkletuD>Q(+}TiK0`8OgRd3o*G;lVZb?@8A@~fCv(iurXH4T8~^p({pWQ*jUSRC zzKAn4Q*V_#rbQGX6=-(-3Z=g47x;E4o?O|gFtuuY5@v>wpK3>;Rd%-@EvnnCXz{+z zycQ{~t(_@Hl|PhgwRC~3FX8!4>zs1V1}0{oOZk%EA>sJ;cZ1{?j_36FJa8ZAUfrSh z+met%LBh;T7-n4|souHPRvw?fFb?J&XCZF5F9ePg$#@xZ{RAS$S;@Fe6@#NZtiQ@z z<$4zN$EQw8UwV<>-EFh?bt%_NVLnp=h7OG+cwLPC$~9QM*D&Pd$#C<|77@<`*uvh)6-c9@LwIpdyd%0HRewpcaAHvXIj3Don>ky?+$LHy^*eN`V{`X9e z$qSxY;vQP0t}DhbzZ*^c5>aT&2q$JO}7j6p1@%qU;k5UE=cU}@9|glcKT;u z{{O%I|G{?>d@ORkoNOlV#4ZT^H$p zF(ihusFvxU+=78Q+dC6q90M7RA#tvQjkmrhzYc_8GX^u3IyB_@52BaW9=!vTKEX^7 zLn^_Mk^3&1G|QeCF2mQdg;)+{POgDDe;4QLUXBqqc>WqP%AtZ3SBtt4Ya%JkjPZh;~ZhM?xf+V->F1h9_A69zDo zbFy{p<)6*|c2Kh*Loi6a8f`@RfAo}-J!6-QJ=PN#tC_Rw3lWdqHj&xWV#K^b5o%ZV$LLBQQalNRY zT@eP6p*nj_Y-%OUPjoqH_MpxIp1~n1rw)3 z^HFw}=ZKt=`QyIt=S!tlW_xRJfe zKu%r{toxKv7-iF&(dxbcXo>L+h90RbGqw4JM!%gyQly%|Ff`itRmVaIB6|d@96xU5 z-Rkcv%G+1XH;9h`LnT)qSDsT@eoAbH8F{u7&Ja+eF})VXvQ&`@WBN+CrEuGP1rQ&G zqzM=VxuDJY4nxXfJ%kBm$dbb#y?iD#p~3|hW51FWAk)M$=w8{+@B?p`Vqts_&hc;i z!R)4Ca5wTD*_Cq>D*Gk~fhnkm-!MPat*N}5EqIolq*?Dok?+I6I&b469|pdn_UMu^ zlTt7}S-Qqny}=-yKHh_f48`WZC%pse*M*w6Mhc&g(&V)!vCL=XxL$uPWVwc3sY-_O2XDbsJonIxa9a=bC0- z?WD=qUF-jC&%Hq5@_oaI$H5D(&zBFlQeHUJI-Ouo5sXi)!6dYM=^HTn4YI5z$=RJ` z7YMcM5YC1KbNATm!&B6s%{JVKpr^UqHGu!l~c&F zmT}_ydFW6IgwtPzMIKy8H=*yX)abvF_h5;u8xQZq%iPX-$DoOppc9G{e-dxEil8bPV^zeg8Zp zFwq|1KLT|mE&g(RVQEruu&>8pEm0DXAjh^*7l)zHc^d~lvhKY_qcGNs+96+PfA@42 zLc*q5`A*BsRM+B+f4^V6w%WK1X;u_Iv|fxfyIwbN8ZgcdRtq0Vcj?2aXqYpxvj^+kJWN2=Di{OLJYd48OD#0gXfz&Ct~qn=>_;4>%(2=3F~3f`>6_@1;M7ZfDi|@m`yE z7-S6Ka?0bqF)GFqV(&ndZ;hPCz@B7gp4-K{0aFR@6HKP+&Pe~^9EE#;3zlB+eEb7H z@`~G8XZ7@(E*L^QeP!vYFAO;?f@fb_m*PFL>&9hysKrskxMVSTdS6gRp@7f(81G;1 z0vk(Dah?&kSQ?EC^QFoEtlBQlq^PxnGiFiS#%kkp+{?q4&>~tKCWi6#t$c`g;g%rR zo2#L5?vFw1K44Z`pJ81`66v$?dSiN44mk)p+0QY5Q`C#|fP6`hKcL((oDJq_u?|LIgHjqd=SQ&Ei<@vh8vqv&}JW=fZb zU(w->XlL^aGpHwGv|mX>t&uPc9}(V_cMD;U8Hz&^LgelodDw-dlc@2%0xEaHo!6TU z>WvBD`?-(ErvY*>l?D4F@W1<2gD|X@ITD{8J>A$4=9F2IUs9}gy@of+1%#*~olBUV z1V{_jiw0{fbv=`O%P+UmaXd<7Z`fqwn)GlQCvF+==orY&wxtnIHN37O#tV*QV0?;sN}{DGvJ8(}eu6 zA4AupiB){!Pp$0Y_Kypw z{h2l4oPGQ|n1~xcYx?T+ovCEZJEaC!rMwN5u~wrtTUsLo=b(2=OzHUXJ4Vry+9Tr| z!Aju0(ZqN0AZGP+t-LV3Ci(tSXf%j?eZCoHqZbxzIreRQeu9mK;qd(;+tWM5t55?7 zHVJhSaun;1UdK`~`xouf>G%N~qIBw!H+S+yL|>JeKVzv;N=sz|s_TtZKZAX{zGl1C0V%4%&YdH# zlukot_66)Ohe$%=y6TGXlpwr?bc~V%s$E35#$KTZhw^!06d^tzcaR57`S?V}SzNMb z+C`h)!YoexcLm#1@`f%70P30FnC6NQx420qoas(i*I*ejnO z_HpB53}M0T-{W<&2Nu}Oj($@x(lDI_yv|A3Bl5X81HATt*b9;DXBy^nkv z5>gviG4u~^V5QgRC}#fcMd5h`Oit)*HJ-;cCgdR(Ip4cBqfGnFC-dE&L(ye&J z=X}TxTx=5#tV|KM$4Q3a&C7@fWiWIHaHS^WleF5+!Dk+g!UH?eAKuS)>90KX$hUB% z@@~k#9S!cI*vGHvQtgBO;d7m^{e1c0>>4&p)s1-sxYfR=E(MN8y3~CX$JL!FwRdTYRlf;Z@?oWoZCmbT8%ft|G;`0 zxBNKsji}Bs3IKj*!N%UkaeICiYHL)7!8WB_y?NVa4WWpCwx#>CEe^HRL)i4dHjU3( zB$#5;#D!W{GY39(^A6jU|7_Q}v7cFtN6Yg~pZwU+ah9+IKp{wZ`8pPi#{BJD?B8=< zo@Ii311&(ccERm}(E_Gdok`VO7YbLZ`}x`7lPUhKt>{RfgJ}E$ZP*c#lFXBBWt#u*W@ZRRK`|P35hgV?b`6^%^;_ z(kD$#>E$d7?b9!=FbX#vu`Wl(;Xn5pvSRka9=U}uJdaore&<9GN>ZeIGAZPIU7YYj zx$G$;>U!p?K0NToN68=SB{<^!4&eSrac1o%El^F++vey1F#_lLKknJr3(07MNqgh& zI>XcN!7vjx_zY*5vekMA5GzYU_S?JHTW;mp!altWGpuS9-K2L^hRT0&knPq_vm z<*ZhN0*QDleg6y2r5$4GbDX1CIN}^dC(KvDbJ`~({BW6;*K~PWWlWC3`4s;<7qTt> ze)i%sEzZvJUEf5hh45a^VR-E80ZH%kvF7i=jpE~sn&XId{pkt39@ zgN9(-KVLHb)?Zlj|Ax71-b3mohS=3RBdFtvPl2hbD%wtwum3jmA{OT^eu z%-B@mK@Lg~4G?XXhiB~X+5Y{UeLtU{{FXzU)r2~n(@JWh5x6)mpz7t|@c(fBkL|uK znBNYu(~$egb9~*&YjYJ`bK1@BLk8dn_`}}m7Z0$v2zeD_btw>&d5O>KvK;Gv%YV-; zQ0J5LEEeMgexd6kq{q#|-r)W&FJf9Y4n`Zpb#wlR_YZ#KgzWbw*~NABFPCF za-n0!GbHX!XSf;Zk`b->q)W)3eaNgl$Z*RVaTL_Dc6Z!gy{af z;s&Qe9Dg}t-0KO=+Qi8X$vFdm=J==&DV?2iF|0l4HaP5RS!ooJ(>Nvtmcjhz1IwUk z;3sDdfGp&F41@POnk?8Imv#W2&kqk949gljWUU#%8cKk+&w_xu0REvQ_&4B(;t()H)wGDw=~FH09AYm!uw`EzkW9Pj{fK-M+Oh(y8q5g&Kw_7T>QU1v6|J%W2P%o^5H zxe|r=Q7c>P2jN8Lmm1i2lE!WsGHB@O$)NYSBU8?Tq38#gje|BK&QY`Q6E`>RiPOpy zVCOrGF3&&h%|jhy*F=)a+^!{-02C=>wtSqv7qf}^urswSh~}W}yR2nva+TbwIyq*V z!R=w-`H-J$i>6Z7EU|>7JFXbH)O{6$cZNaHy6xCmN8w}#F;2Rz679F9ZGnm_`vhaMCTi?UAIb{xtM4QMm? zmv;DZhsqYb5Fam%A?5@f@OEDNQhnw7cNr7JGQt58?sEhv?}i&0NVYx%>K4oAt;SB3WhIsD#(abx&jTG&0@}g4*@u%eqk|7XQ1DK&y$B4{0GkaAv5Aobl*V?qgAXm(nV|MVSp=o56Tbt z-;1E*cjqXj#-PyCi}C#-DLM~SR}uoU$fg*$ z5o{;&PRYHNmLF-AD(?!{->V#wGyOd7y zeV;b9zYIebYUB7>;z>XCYN9^-ZPecAaATH-nfjLra6U+0=10C(tXY|$0lbrN?^zMm zTo{6T;~#h6ZJr=R`{RAPR7Z#09D{&hY%MLbX0;RE5kkftSbKo+cdma`Au}t8e5tR# z-woM~tTACvR-Axb65_HbvcC`EBb@C0Z7Oq29f(K9-_vDC?Ps%3MUx`UB-4%Gt-@E#THsIaDc0KS~5jymOb_hQqS?kz2 zWWpem)W4QNu&>h(OXjB^?!b3ITDA5GV)g?AyMlg-_>!jG&av(=3jI9Ad7B-1c6VtY z1QYp6jxzIUC`&JVD{pflhjTrDYMR`rR6#XHGJC{wMjiQ^Q2p|S8gNx@`oIAqB9bMV z1EKQov{lH-z5`bD7`_nx-No9RFUU&+DlmoEyiIi#^3q=Y-hcSzneTrwps6S18)vEV zyZz<)t0J~Ro6^kjxA-NpAm894oTVWU#C07*ify>DQhbx(=BWoRG24M@iRR_NNhHx(biUa5i;m?BvQVBRFkfbQ zX=;^_@OJ@w5GE2xZbvlz4@lcP+A&0uVCifTxL|}ASysj^Y^#& z+ORZF{}AW=$dSz`{k@Y*#9U^xi~_HB>||fvp;u4K6(@h1U18%7U6&|82yk60#{f~m zo9$X7PhdR*pdAa?6YVco5O2a?4s??PG~V;iFIM0DlYif=0xjtqVCAnpKXPc{5Iuvf zv=tV5YKBqf(tvFSIg)!F9p2gCngUKDMJFHP>j(YIG0)DR1O7LMYrWOwiF2QX0~iox z;p*!Rgfjliq3>1%#Ei~E?!!Qa7Ed_kX=5P*VLSNkWt;U&LLc0ZUeT+jpLzYcX(q;+ z@}^4~aIz=20%pPF9(NyLoIm_b{nI-*e={9(Hj9psPC1SB5PUkrTz@kzWmTS^s?9C50ozSHT> z$@AYCzZ_?r(w@sYo&g{awMIMkWpUdRN4+%3FBkiJ|JBz##nSRE{VTnkJ`%ngY1h8$ z$M*z0!sQyBE|Wi|GuZto3L$Y2|I^+@>~K^8p4UPFluj=ayrJ$kin5Gp-PH5DSmT{5_L&}!WQ z2zuBE9OgE)gX`BH!tOt?IH(d!8!%5G1U^WVhC2ogZAflWM56ofPHE9YE3F+#n zgZKtF^T%npME|hI2AZ*eO{J&{$nt-9iBEL?>kB-~lC69ogsoZRn0dr&?sT_^>)|uO zdcDAYna-W@j(b?UmR;*?t}=*ARh|F(?eia}G5`4(=bQlkA~uaeLfi^_=Z&$l{qrF= z_pnj=!%lr1>D||^-tr-_!gDsQ+Q)s2&i4jbJg{#E*L6OphaJ9MGCifIK-Y2)@#%2S z{fDLNHGuJXxpt!WPgA*h@WU_A{**Wmcvrbg40L;0r!1MW_FLoD%t$|s%IJRBx|y6A zi?-`21PJ&_V2iGSZQ#v}03p97o4^TzAoTBV>f&yc(lviaFU@k}@ImUa2w)ite&r^= zfBRbad}IdL(GCb=GY^!LOt2tH@0?@rYq#IeY#;1$tB234$(--0Y9Dj&SFQ?9UFDgT zzW=jB&4D%Dl{76<0YpoybKv3rot(QDiBSNu`d2PiZ!Oq-;Ar^ez`L3y!DRDkE6H~p z!S`Gm;Oy~daU3AHe)KpbvDfOY+mpK%TGotF|LEOI@bh*0WBfbsH%0`BhbGa(Iw`yX z&}TjrBJgpaWUo%#HZK7@{|`fXt#FeSEi$$v4@U`aOqu@C*W+HbOqmFTK4~|2h{D_$~7Snj^q&;DG*o zp%filiV!FBj0{8Dzt?WBz^48?H|&A$z}a;6FQU^gvVI1Amrw`mXC$Bf?67s<;$Ypx z8+Yo7N9l?8pyi;-fCX)|Uj4X{?V^H)nX?TEisp7K7w1u=@}jR6lHgb0PEq?^y$`s*_~P<=a2qH42PX zx_KWo4)PC-KP$c+=0Bus{`yQ37OEVBU%Qfdy8WgD|9Db&Y zz}dt5jUl4}E@*eC*jECwHjJtU74#EIOx*Yr9sKnC)A?RL{$XF=@9LqeT5hwP+6-gh z=W`||$+Q^fS|2#M9o=s3>A%?RYCug@!fTpVM=Eq&@m9RO2jfVblfsQ6t4-g*vA6CQ ze!Jd(e(%;U(l9hTF<@LZ=ajtT#(_EBuKGbTJRH=eKHLEE)7go7jC{XM_EiX6&mY*R zcnc0LLVq~Khr`s4io14p2Xk^tZPo6vrjJ|a+#uZwfwy`P|6$G^^N5~Mn{=0&8dUYdeiru1G-+&2$x1@l|W@8 zMuC8Ak3muY6X~*tH^5L;3(Wx)3JQ)^eKwe6?1uNa!kP6Lb-I|Km*~w5I4MzjyZ)(S zjmj$J%Y~V692mB81-UH90%_3X%I%dY7$^imXi5hULTarGn#VVmC5Cihw)b%cU0o2O z%+{hItTpmlQ=G$rtwTTu%o%2hwvKk)kYdb%54$cbdP$#Lfq;_e3oTo~Gks3iKdkwD z&jQe7uD=qM$4TWuH|IJ{k+V>w6=*oJ0PIcHQ;QG`aL42J#&z|2#^4nqj^hybsG4G^ z5oEUTnujd{>$x%9o}+B-4Vr@+%mvty7i9vE14UZSSx$o5@Wv#L8PkSX^v`a*7u)0U8(NbdEhxqS!VFq}iLEeP(z2$2w zMZ#}kKpE`5E?j`1`C8L}+c!>l;QTp8LF|EMI*MKlC)xc&tJ4ZzJL}()D&>}F!CBfl zdn%!B0!Rt&@Ebk@vcbVFUaaz6QEek-l|IepqOj=H8rI+`4Crw39a(S+yjEr5*d|BR zFmGAAvT-vb`PRLseQABCsnITC!z+>jVFM|ZoqOf8TaigshLXYGAL+k8-+_mkBu>3g z$sPgriLx_DOYcv)r6Pih5;O$tq)X`Q-LZNKaR+c0fafd^*#FGw#7>rsE?w+GuRw3+ zpk!(7Uld98{~P|<|M1VGVF*L5>xJe4r_o0vA8 z5PbD9=zH&?=QPVFVT;csd!{gv{WM9Bi7^ZO#;t}_8Nmg*FlNTak_%M%Cc0&y@L7Vg zwdjj;C6p1=Kya`n=YLKz=!o4Dlqu3H-cTrO-%Rm=j;@7vZWFQc1Cv49d=)JerFJx| zWt58!r8{Uc{}0;VwNFuN`GTJL`wV>0pVX^`B8T4m(D_Q_p!?jm#n&!4)t7c)h{{-$ zAX{E(`dkLsZPW@n87QVAuQxn7QA}thECB3-asG zd5tOv8EGyY@nrQ011?O^jC)ud27J+kLe#+`VYtpS)Hb@){?*RSAi?skfVZ9>FV%kC zXwY*t%Cm{;vol)>DvyQpb_HrWv}K3ZfUSbl9DJ5xFPrBAiLJ+hzUbvWv%Yp(&pKk* zEpQorx){Jbka>_$9qd2 zRBaBRrgpEi^;Mj?{297%hI61S zp9i3|zNOEy&Z4>+6!aTVAZN-x%$@M*wXm=8$2pS|T!Zcdf~IV! zAx|+b=J;VD5apx%eGsh8+_md!pKTXP!e-W5f+e4V~f$|DWqrPUu6N)9fvXd${i z*EPW>q_xn+wjfl&0Q+!2k2Ny)j8VLPjfWSAQn!f84Q;`g$rP41fXjDojJ#DuKaV?l zJE8ImEjV;VnJz^sDdCDmE(=8ggA3r0uU@i5h#xU*YvcCqpl1n>?wbDfi?qi56*X)YB@xU zAzX1qbFg(&9}X{D;4`A$W;&=XzMs2}>e6 z=%|OHcmY|_2{R-1`zKToCi6i5kX08 z?{o%i6@rFJoER|ela3i0OXzvP4vA4>{xf?azw5Zib!^WE`3=PLo2@`*v!WmpRPp5X zx}6QEK79C53{o==D&PZaBd+i+s>9<@>dMoG{nW?NuOsPxIrxD=$rS-%OVs4$VB(G{ z0L>x6ok|^OPe{5qKtX~KI7S0QEGvO7?EbtG%A1+v<+Lc$ErHeo9>TbNFa+jY9vlEK zI=JeH9I*7{*h0AN3`E?3=du(q?tEXOJJJO^v(uNvH|a+ zU1G$RFX*MjbK%^}^@@XL1?p{D$3g*nJQ=KUgCeQjB4>uB=!2JCI;it-)g8PW!(aO6 zgrp{D0IMlF9r|dvuf!2^9M8$LMlI)))WHB{gnX+&a-iNnygu||lsz!F^yJr|nc99X z={pRIzcqyvE1;`q?st)YI;BGQlG+*^FscBv(o`!PxHT0v9hv~B3S3Qd?z#L%NiTE^ zOSB31xY_OBSu1h&{a)z}MWMdWC*id_8`!?1#?@E8y06!KabGH;d0lSI=vB{& zxfBjY{;NGDLqKlQsj8|OBM5?|V2RMdp z55A{SlJ2T~K+7=xYR#M+>QEW1!FC(}+J5MOga#lA$$sAi-Yk1eZwd!AT<$HeohNE< zmx~rZgCPGx`HUv&cFiCnhO!A|q-8*nh}B4z121JR8i zC=;JUqa)tXtoEjnM}L~!fG@WBh{jPXP13lUA>f0OH3XkKO@lJy+qQvWwQu|zlr90Z z$a%MgGfOt{Od-`c>$9v3OS#zC1bWbeub8RT$v_kq6*c&{-QuJi?zgD>9)%pafL2p* zugXLKgiE8gM1f|f!z&1I?xzjADX}#XAE5cA=b`tM+TM8s^|wNGAR4MFjov_HVl9*m zO+WI&qzD>t{9XnY9<<0v8ecQFj{OhXrk+wpM7lvEjl5UoCI&`)`_uoe;+9&%v#$%_@V^e>8YH9#ff4+vmcu>+8Y?<(Y>ZB_}qU@JM zy~o4Tas&E{&>g+BW48sU&j;tR9+<_?p#t_-#{hvGnNi#IEJZ;rXbSh^k)Rfi{Am?{ z&GSA}VV~Fn51ub_l)b%~deA`@3Eb z5-5C6PE(WD1N2!);H0KzxL9toL|b9@59J-!`_Yc-c(OB`Mb(2F_&N@7tXIc>kFT@|L{YPU+`4ESb|vLDps}DX?jo2) zxpWDXbP`vH?%%;V$iigRX2br+0TM&yumVLK*iD+#Y+z%#Tuyqt({(#U!GY_I+WDhj zdz|;6=6HUGM{S0q#!!Cpahq#pt}fggD1aXqJeL6LunssarfI>0BJc5EP? zbRE#K-e_ETQ!%xC7e!e`LjSL7texEM@8u;v)b9@KYaROd7u3QXb$rbEBnQEfUtSuz+!-KQ-Oz=wmt1-Ez<{-7oGxD(~*!7>jq7e?ezC%4WG`GSzHp@5b*Y6;- z;Cp!B!Lv>2#DEQPCCaW=p)()Ab&}nA=AiEHsB8Jt9PmS$P{ip3wf4+Tz9h!9riU{5tdAQ_YgB@h0qys_9mK;dL{_fjf7_^f1EH=2D8 z;YfDY!3|3vd~7IG;K;y9FP@KXa^GSnJ{qAN_r9T8p$g+O1bXI4X>H2SDNR+Iw*X z1Du7RPp5kV`yOiW^|H=NkeWeXE_8t(1tHr}cMT>zYf$?MKHQbv393I1Ey4Hx$n!Sc z<=Z)ltK=f(F1eWb(tkGpubv4~aBS7A-@8FZ$fKVI$4zD_+a|4K4d#ZRqovS5*_rP- zBpHI^%w&LP(_83e_cVK9I(*rme^s+L5K>DyR6l!9NRtC=175;N4#eNYp(1Yv(SVE7 z`E|JR9#14eQvxRKcoZW;j}Mgx?)wf60L7VlLv^3Yv;w~m1IB7c!7MGGDCjqL zAwd}rH*!C2L|Jup58fmICSYie{juwSON#;XZh7aYRRaOW8}p8yhh}d+gVw03r9PL( zHQ7^4VnOlaW4XFp!6dCmf3B+?0ncgzjwuO=?Ok}Id0wX+d#k>D_!SrU`v&&Gw}i^U z77CjHhf76w02trHp$`?P`JtuCOFd6EP+8O9!@UN9SiT*Gy5m=hyhHd#kxWa){P_5; zZzIj1=gLPpgY=jp!ur6-OeZ<=MSLm{5WqqVB2KHNNYHg=$mq7qv@e92ozj{-4i?ZcDnP*4RRJZ>5l$=tnI1``yzMi5-N3Yw@1kXsSyjiZC_ul_~oE>P*gE86A# z{N&K%!U#or-OYG>7#FCU(G=PhJ>y$JrEbYHJ=h=p@psRP_MdSl^lk~n2wQmQ1VDxM z3!R0oqz|p3@Q4phq9Z8P+tSf%dxd<8D!h;mTy@*0RmN+`K|x=-iuwhh$Xhk)G!`=v zoZG*3yz{QaGew0@Q3UJpP!7FV0I3*D@@;z=JS8i z_NL9MYFn4?58?w-NbylcL}~>U`9`ToA+^A-zm2)h`(|duy*Dx!nB1m@uzZe-z4j_ zK0}-7U`>i6w0F`eXG^_EHKzBD;4(KWkanQ?MXO)(pD$Dk-@$1}pOvhu&--xqonLcp z9gjheS-clSc+Rngs(<!2!Cw|aeFSMimM zmOTv;ddGc%+#SUgyUhwfOIg+LXe%)w!XEXM;&adhdnb zoMQ}FwwsUg>yEo>)eS`V!_M8bRU&HSjoCw&tDMLd&t(Z)by_D_gZ^|I{;xbg4{VTG zy?to_nB+Z`4OVS{fF6oAI-D<84_FHHZ5=digb_TRmpDE-b8{7RXk!d%yAIj@cUe{^ z5A7_4++IksCrMgF@9>V^A$7+x7V`^D=Cqr3OL5ETJO?r7 z-PdaHWZNL4iV1e&X=N+9@x1QkNKL;Tu@+Zp!;Zp%KLh-q@h`=#OHUIjY%^>zN2l{yLVGVO?aL|=-g%wjXQAX)^ zKU+7ZfF`lgqB4!)<1ym`;EyS1cw1p7tdKK+xBib3jdC!s%H(r6Sla}tbUFh7#*5WYJtt zbCXDI^!1NikrelXM)!5Fa&VjG^u9!it%&L8vj{|+?BWkKHXLc8Nqu`3(4ovjs^2i2 zKA*~uWxOmdJ~PtM(Dn!XW1O|Cz>1TXdcSoLH!KZKIY}W3>8Y~JXLQ5V_<1{=pLZ!2 z$+?yO2P2Dn038iF;|R{?rlbnu%E#|aJ^g45>LJ4G&B5K&1fmd=s&a?%WARO~gYVen z{5Y!D*@=}EDRja43|+YU&_i3>e7!W(1vn8B#s;3CVh?e*Uq z?eu=abGK@Vl99(}h(sB6CKcOY)Z(m|-?C%Ku*{+J>!m#oCTuGfP4J%7 zT*m+Aa^tZGMcCEx9ly5|h`5hW{9Z2v*} zMjF@nC?kc2HAMojn1H&+&=2${R4zRKF&Wc;y>9*9Y@EaDN!pE|1?yyj^Qs6f$g*v= z+~zRvVH23N5Az(`Oo&7UP(JktJr-cYwf!7M_?Is8x1YP|U++um!xtarVf=s3n~FI}XFiHYPCeV19c2&hmBHK0I)?-5STn zzD$DpgXVlhHr8T;Yh2K&j;Ce^JXeBW<(c$~m~ z79bq#_#je~=5idnyLFr}4{Trs{i%(v9XlF(`0+)rXA9TRf2M89u?wVG_p8t}k@6EH zMKAHFI$l*CD%Uiwdu=>$m0zcvXuof;UNhqKPkRY8FVvzxX>3Jk6)+?lz+)*ljo(TD z`=77OBd_l%yiC73One@{BjmQ$wcg7cU*k@LbK_F2_LA*@_ll=d&8l-e zqdO@Ts3S7;^h9y#jS;~O(2+=gIy?4F$R?BrhR_x7ALj$RGx2`m3J%S#d|0uloA7L^wlus`T4V&dQ;wTx#EY zDG&XC0%lnE3ww2^WZ^n9U-w@p)-&R*^4U)=p_Nmb8_xdznZ3VY6gpj?g|&C|^xIO- zsOO*oj?T9i`t@9S_`JWuJz>qi^+esR%pdf=TCK~0L80##b9j6TQh}(TWnJdkp4iW- zP2cb0^_VT}@kw~J281++VIe5CW*)<{A(=y5J>J=3pv z^hXZ=n3rkSWV1*K_NHzAW58W{oxHbqxB$rTI$zg!xDcE&=-&OxxQHjRct{x8soLKe z>cWRz0N4YBJ;oNjiw-iX=p}`%JYCezx;#GLQ>;Ik)tj|Gd-m!TJ7iN6xB4JLe6_B% zG`u72-dp>Z8Jk!jEJB-8{`s8F_Nsf9cbh?WK?P`qZmbQ-A*nKEtf$o9Gh)d9alCP< zA>}zp^%TdJv&A`w)K}#qctF%^{B@rC)X`t_hjk_jF4B7M|F~RRX(A0x>j`mX_)&|q zdRg+9-6uD>$$0%f1MCoX`1~;Vf_stM=4!zlBFP!bRu!=HmFsyKK_J8F-BRg5UFv_c zs0+P*CIy0md%*>dEFi+(qoNmlXkCl5vGTsz?I;T?%K^I1<=?v|ul%$f6m;)!+(0I1 zd}^HQ)UI5$0*W(tXRi9e2f6p>cUj*EgyYbHak&rgn_KA3mxa+y#H~Ja&>*R z_cK-dqH<~EC--fZhrvYj?w}EYHz#12naB7h{};my5o)U*T`Jl{ZMSmJS6z??#`!3G zD8q~xN|J$1xbn>E5o-^r`By z_Xd31>)(uP{&hW%y}`0>veImPB~aB<6{gMVx7+<5f6r0zS?@96skgaQX5j@RujA>o ziH6--S|+!*cM_cZbAkvMu>EdTtC#2(x%)ffdRl+~ak?0gmZU)c6}5?KuJh2#kzp6p zY((sTwU&?b>N%a|MczMHYB`kmNqaH4zwYY2&26A;!#B{|JBf`umyX1XyqCV#foEUf%$un9fbf`=5e9ImV5QJ2zU!9w;;B{Z@CL~ z#Sc1%0fw3utuis^dAOpdXP(3Lxx2$y&vEpugVoRP^?UJ7pEx>R%=>d}io+fN(}Aod z@S6z0e}211^!t4d7jVMa5Ny(lK~MPt-vGM>zncLAb*wn*`g^03>CSZ3Y~DE2lnU>p z6!dKUL(ej1nBkpqUL}0t25^_+A6NRExYV2dcaPDd{ot7NH-Bug&ppAv=~qw3p3)2P z-b@J%uY>iXk>hiozdsy#|9)q5fg>BcMgko}b3dCZcQadRc+cA=GDdThNyEUtfNM*k zzg?-v0)n{k{BP~1FKOc6WUe8)d`Bz! z`vrb;(duYu)Dv8=m%r!JZKZNOyPRibU4uBm{S*ZoSnbH$*J!3+Xk0Ypu7wUx{rIr* z&*ANX8650%>+>AnSu!d7ICYNqM5WM?IFvztXe6Jk$y7_s&dcUFhuiT#-aK4eG>?Ki z5IXk|u}5)nlWrMxn1V+G&v6Z!qhNfJ18Ow(xO%AeejRjUVM!hP*z<%}(4ygwL)N}q{rh^&I=;8= zS&*`~r|FO%MsbYQO8BjFg0=o%`J8wjCQghnr=bB%*tOsYc_w`*&FI%t!L02dbv7Oh z*jsXj_0+)pr^fvEhpP8wKjvoNe>CGfUvG(+h99EFY~1(us9mgbtzBL?At7t$(m4@4 zpAhnyCOJgkL)3eI@xfeGYVQo#N2kvD=jS>fHt;yg`FMH(_(Kp?{do{Ir*kVy67>%|7Pi8hZKn+fJpaB^7H}K?05mSWh=AL2hNI_Q^TY&YFqV#7IpeKy^5g zh1&O2pEtJW)=ECQA+;geVG;9a!A!@@FbUeczC6up%;`v@Huqszm=OqqS*=ubY)yg6 z`OGoGs!%UK-M<>+d4Ly_Js9$nk$bQB-gu9aVctB|`@tTUA;CxXc#(EShUj!=)xo~b z>%9bOgryG^G5)UDt8oaeufw{pqmC|8TQ~KDb1cX>4Y7Z+@dBUIu;!u6at7sUg}KHi zF1hbMh@cgc=_PKsd@}JL@tkeHcrNvw!c%DYYFD?q*g?vv$~!yto{1xG$LPd1I;pZU%7?bQ+8mc!$p2=Wz}QI zVm0`|eQ0x59J<3NZs=8~Qh-ywv{Ce(ehKzpSWExTHD8uIncgV2*c+N{=gS85JYe9^ z$nX(r;>35*>pv^e&4-#Rvs6u?Ns>iki?!=fqi31f|D~gYN3p1b8bh;vH{HR}*cX+s z-9A90pC~`98d@HjzxqF~|4S2xxr{ks-MIL99wf=zeKG70#G8_y*tOQrSB}BMxeX`C zOeFO529=|}(c$#a-zW^>A%8(L<4}M}dwF`-|$OP{lq3hmn+M43{D~Fy;ylS}u zfH{GQ;&@P97!SIW2O#x@ir%V?rgWSTDMQ>6N?bF)HoFKLqzn<&3EENg(Mc!fnW<7s z_}6y}V8j#hwkTpfpSE}E`drVihj7iVp#Z(RsTMUt^7(q&YC8dBJ1Y)6f+Xe`z2Pnl zRqVHda6Ez=<+{del5n0CIsphF{o|qc^}9e+sC!_>fPxpqM){|`xd?(_Nau-1I9hj2U!h+S{<`N-IRh#S8~c(aoQJhBT-2cNH-l~ z+FX+q`6|Y{2(F`90zkE=rI7Mdk(Adp!{4`3qS!YCJ=Asuel_@l5J>OJhujJ#N2a`R z+W(-D3?8@`OC^xVumF8ETse2>m##iPR9;1WMS&oFX6Ar?`azcr{VEbnD6@<#Zk;~e zfE$Ept1^P}BcaS0dhv1rCeNDh`esxy%J}v=e}E5U@80CnL7EYD#rmRP0=3rqIE(ww zq!Siob4-f7>%mC-Zn<%t^ajX=D=oyfiKF6KJq>h|b8GYmRjf_?656)J0_0B3=agD? z@(*Rz(g~=H*XXCd+LlrG{!fk@`ds39nlaN&aIO;c`{J4I*fL+Vq5qqa)*C+`>|gf` zFOGJH62ABvMAb{_hA)puo6PAGy=mKI!|zckNWk_z-}Pi&woi(516K&?*)Pk&ZCz-7 z!1REIU5OppnOl2UwnSSZ*X+!6c`~O+*L+#;;G`kJ4BGZZ(XVaTS zK46+iq7CE*-wvHxoni8-P>G)++=mkjSWLl>Ca)x zGKvanf64erOc;|WtHi1h&0Ezc@MG#itzRlP6?xSq(=YHSbL;W54DuQDhIXaP=lXGT z0Wi`f5pza`yH@@gy24URPl0wUkhOBLKL_y+_7=Sdy@{H;x{H0D(1k+#8+C|if>8Vz zZzmI@4!Dd_U6A5?(4m93G0uq4D1GJMQWUYcH+se;_l5!P=t0;c9t#!>lj~fjIxE12 zC(Gx4@-w83s3q|PBMc(kx;wbFeN7+Ds=|*6{hb}<*ZU~%zSZ&$(ztrxJ#$~X$PRf} z(1Y@52rLhW*)EWMPN(6m|!t-5V&?uA4aTO&E%&bE2CxQ7X#{)tH<+Od6G?261CHwTd-$WF@guvVB4Xi_Zy ze>wxhHIBF7E0d^|%qIo}cpO|mn z-CNDw;B$yF?ZJLc=uTS@?`HitPOuuyZNn4&rWF%ELs+-2yXOdI}KW6*`c%}3fL!rG0=9w2E$mBCJ>{+Sb5Lp%InvPR4O^K!@k&M^^TBqsmEZX4a-4+hX7 zEPT+~tio~NDQ;S5v`>gi#q0|faonLbljG5Dh2gs8d0nnQ%th)iv>Pu@+Z-j2aJRn@k&snwR=0iBB>b` zgO@)|hrYU8_@z%X2YRRB>@Cr4LtaqJj^D9e*L2`pQ5z}x9kGa5nYpH*l%;I>*Ny9g zAe#s7ry|B>s*e=2zeu?Z^mso*u&M9&U=!Zf4AKv)@4u_Geso!uC3W5l+f^$+jJl@r z_ld>4J{BoztqDF0&o%ok%kC7^A(pvjBf)vvG@#*lUaUIbi8hyrK|c}Vf1de}Uv6dN z5yNdvm+B+_;#X4eL41dpOY^|D;LVoAIpe}XHr3U_kTo^xMLOszQ6|xLbu@4nH9`Ck z;5qGHnlqD568`VaV3<$edrw;Wl*#MhYZDeOG2-1#>A-ZyE(4fF8WM8-)S$ksR3+{A zkbHQ3;_o#hj#<1ZRv*`WKm87eJx;*k_p@s0=2nZjyhbV~)UmGw4yE^r+a_9GfMXD= z;2w1|5ooA8&-&V<(_QM<$&_<^F_H< ziZE{ejK9%5L!sX9=yuly^wsUtIQ5V-^V;Owi|#M~iw5OPn?(9XebQ_MV&{`M{OlJf zpS2;gP9(CLz!6ye@ZUz%y$pQ30KL=R{l=-h41nqB?ruP?N$@b!2oZAe3vf7BrKaa& zS@qh#-K2yAW!=i zKveXNFDTa5UYozOB*VU}y-85+(;A+O>t8-iJ4He8SeaqVnjLAX2Tm*iqvi7!dwKJ@ zcg-t&xmWPt2x5!M%6fAO^rW2FwMncccz@6Tda`oGbMvcEH{aFkdW`{XUCfK*xDW8j zi2ku`&u=c3RBzaDsTmIW-?O%|PoywTBOpF23QbFgN{Haepa){=_mzp{x!R`t>%*gR zWHN8L!j~ZJw(Cr_uSU8TBAg!|R0P`!Mj`q-qq^+t&}!nNHYGR5R|&8^8l==*B?zzCY5mXO6EWditD^zud}~i=ay@3rVNysh(xz?8E-3V=Dd3z&*)Jd=q&O+ zL=R_ZS$p16dv#ZQO;%DPKRel@J0$BI@NVR%J_ZK0y-~N6MXxSb*IvTD_?(R3JCRS! zd{>|18|QhnUo-yR zANJ(tpw}Wx7qhW!t0uYl886y(&?c7Gmq1jSD9W7aigkA)DCFpoRo{l+P!`Xl_;J4F znAj0HbhxjlzXwq&B*VNI`_GjbOvu;W59$Cgg~I#hb9~i;c|l`vkDMOjOMRlUa>D=F zGY<_&3F7vy%Y`g8$cN4c^dDbzk6oxmKE?aq(*EQO8!+*XJK)E`0oC^ZdZC*CgNHTV zFCARhYqSRF69?ON$>*eigL+ZVLikMva6!ExB0lRn)*^kc_;Kl))1YJRQP&47Mx}ES zckLs^Y+^z#kvgyW2>IcGc^`hhZu&LzXq_R0%W!jH7G}yj^S~@>ovAMRPrOd%2nvcv z{FndxCHa#@%^cS2X^N;oCM_v%A zw8_>Mezw#Pz_Y&=SSn}N1k`@lud~(dYXTqg_i2%4_|P_|jnrTk?3xrGf6xEfJFI0a zNAHO1TAxaDx&G-}(eK314lC0XMz}ulwpep4un(f0RAEvyi9E*Z#DF!Lz69@2I3jxv z2Qn5+hvx_VJUp4N_j>saZq=`2RLFdDBmSCC%Lhofd4wawYQP>#!`e^Zz;c6H7d&G8 z?D{-k|9+NGJ!`|((53%nCb^Kn-umz6W1W=zc~x%t_mCStyrb>K10JX8mg?pWp7$dO zVhP~GFm}r>`;~PnMDUK6y~joTMi7w_1QgLrgiBpY}B0ZKt404JHfB{CDYld zJ8MJjUW)m+76m7R=}`9=wZJI*%L?b?*vWHlHs$AuQ#eC5t+mrM)nIGi3TB-@rNiR?hp0)6pkoLuUS zfvB+t9;J)Nk$Dd(+(PFxX3@ilCeaJ}bX34~q~O}mqiGy-S+~)OxElM(^&XG?wtwQ` z#mw&v{^-$2(=igr0BPZK30;DdJYj34X|caE04s6G2~)Md-mIT4`%LB2RYO0HbsTNa z1dUAM*^{PC*2cgF>vu41Z%OZu6OY1)alMZpVZlia|nW`?IRYroX|fihgwS#Vi(M-P;B^-1UBAi=^`fP`znU8x=HE zCM|Re`Ob%;!W^v{IovNJUyF@%QxjqWu6uL@*W)$b2UxDwYvM>6 z>c!;xK7(Ps7~45qfOiKnl5DQqu>LxUikKb7WW1UnHo5$xXAXPgQ_<2GXQDHVkJtcF z_#yC`LtvzyNKu$UYrCIMAYRj?9v07Us&4Zv(2oLnzfR_Wht zcYlpxe+OkE0=r&EUV!{H5jlVEPb_j5;7&RqYR*LO#cQg3&~3ZD&~3qSq38bj;ns5! zG2ouugE7b=Y5@XUf6ZGis!)s4JXkE+)GU9#Vn4L?@UiwC&su<7vNS>JL^6NlgkM?J zXdW_E@yyGCbp`Aa8~&sEC}oU;jdR6j1CBGk6F4vqU1-4{#e3ThYh-3y^DmP@%}s-?3xotp-uq z=Mo6$4y(^dg7P0lHZ{_5lwCwyp$>m~seO05qkoFb)up(@o1MNL`8S5rP_MIiFr6at zw*lw#C6!t@l4)~Bu9_pqj{r`9?>aAfs-nwA}FkL1}2;5>?tJyc-@7g~6iu zh_GNFC@2)@m zmO{=Rbs|_FFCf>w;tmHeHt;JLISM=n8|WVVwwPQU9V|+%lCQ$gPHS<*SH<;s?z$cF zwuHkil*mg1q84VWEOH%w1Cg#iZ!jhR(7!xjY@ni5JF>lqCowcVmw4w}R{E%N$`f}xlJiroOD1i*x*rg`?{3Fi4KA{BwdFiFzf9r z8Y{pARB3S4?XJL($!2tGhF{p=!m$Vn%8#P5+K z1MdTY1~KkaktkQ@#9#e$e7)Ct!hwctv#(@!8-Smr-n`YmjJ%&*S5{qEUA+gK;fJIp zc=!qVxmr-XE?L;VFh^LK%-ihN@zh>%nONPd`_)z3e{gPy4x77*H9p~OPn%Dcb6Ydl zxQWJt3|$lt4apuEsJPk8OIfv30j&@jG?2)nyql{&ZtXL?ENI!$mg2hj_}4K za7rM~-LU$eP0S(lwH}0&QJ*&P3G0x7x#oKX%C4USu;}u86XX7lS2mP)`RKr4-%=C$ zH<-NRxxT3D^^C+C%+XOq2HtG%Fus-d!@ui!!@he^n1!<8@J7}QvTq`ahh+E*Xa#zS zJf8h8){nJuv@5qeQSQ_J{H)V><;<3)j%6FLbE)@fhj&`6`SCbh14Vzlfm^O&S<@&$(1crwb1$9@ z02QW>gscISC5ZwZ6gYthcl2w7rB=W0NZ=*P|vMBr{_FD7X!@C(&U1%iEXgN|8qU=L%6IlkmjF;<^b-iB9b0CY;@)E zcg5vaa`iU{TC?_}O3lBe7?I~C8F z4j%vCk?~6|-&ja-cH2AGQ1+V1pHl=L)aMcF8^}&ZtE@AB& z@l1i`hF}Eq2R_w;u-f0CAOm3CL#;Jqj3JI|76u*R9R!O@ni;p4P$sB0LyPw(?d`0c zxoVS|edPh1V_-chu1M{&PLx3W){NAj0}nWaE1r%xDZPQFUT5ZO+aUrFS$FdbQsEa6 zjFM8h?9!;ndO#wis3DJa8!CKw*q(7_CEOi)s7Ntb4znplV9yN{`2%tQdkXxJ|7ZTk z#7rOrXz#11J_8T`V)!}@QQDZK{5|TzvZ8*~8T0&dvueeD@FYVU!RP^raZg#~&81J4 z{wbh72_lz9bkg(5k`NUn$>s|#VUtxAvkg{OA&8_vP`)B%Ot}@~)M#+E-jM$iT;O|b z@->r&V~>jRelHA)!m$CD0${QG@=ILu)=QTJxC~s&)Z@Uuu5oy)a zQfFw`ePz_sj_WOfWx?y)d{6z)#XJ^)=<1dS`vFWmpeQMBSiLni0BvWwUn9(>Wnt-U zI;2*G2s3}BarX09c6uD2n4nMFx!~7aHpnOkrq3S6=G!COyIPQaLv1!28Yp>;s7%4h zC50nT(1}ogYY57%?M{yFTWCLz@GcIhS#B7N9W*vQh+-&Wd*w%H`5W}7`qx_HjW9Uu ze>WA;^Fwux5NzfOgQtt>qrGEhu8Td5P!J6C8a6_YMiAqu%VC9?kP;e?#q4fLkMCDO z0vxB)8(j5qn}mRfvbw z;F1^<-@d(}>XrM@BHHcB;_ETn|FjtBf=|5Y_o1h{KlTSj_JaL^&r`OX+Jbk8>{ST< z>RzGBwDV`n0AWYKg2Qf^zw_j~bix+hiV(YtBgmM|`gNu#o0G+XKX(DId{+E35+We| zS=>|@(j2nBs1c|fj5PCaRvS2sDY}e%F!0?EY#TbnmRf{(3tIybbNnsyPFb4$&)H{g zNFbt-SirWn+}OUfomrvn1k>)MuKih>(m$?s7O$j#7RT<&MRclPI7N$k&8hA4u_*{X z+)>zpK}0WA!JZx~gL73juoMrj(V(_Ngi1CEIV(EtAb7i$c^k z0;wHQwhSA=4Cug2w%AF)gY=5Qx+9Koj)0aMZX2SwRDIOfj4g=ml-xxh3J3xBiEEg?!DpNi1q zqZ6+$jgy_nuQI_13k?IjR;kA!X7XWm zB54wiyldn_1=<-glHNeDB?n0G$_?gHdcQHyqb$deT;dI>SjukeV&0Pwz1Zz(wzbCcUa1-^Gt?{id&j+;O z;HKYW1#z3ma}+l^ zW9loQ(~!$d+~;y^js4c2efZ$E>gR};=ML3-kwy%%JrP#1W>rQWHLd5C*WO>quvb2D zM{7HhI2+_fVi-m<|9C(V_SR%vrir-IgXm!((Sm0uMmAZg?tCfIa)<3R149*^F))o7 zG__Les1JjtX^e}^I1Dx?69Rl>bd2uiz(#1liiEfzW91PJK6L*tEnlRg*@EeDH?;T& z-RfL@p0VZL=?eu6siON9x;_rp$iF3W2>$;Zm$$f zxq`F)_;9_xV-KD0jp!xrqW{c~41pXV<8?xC9e{&uC2^*}rqo=fl&hO*fMaT+DZAg* zpQC}8#VNiSh7S6jLgsw_2K}pk)Aijh(H~w`xhmW?IABYV5^N;An zh67L;K7Nd-_!D|s(phU~e&4FMb)E`Sts1IOTGWUI{#4r-J?PKr_C!kA(DaHxXR2R} zZWeIqoiY6}rf^P|@2vVmGVz*4RHsaT92~IP2LLa&!*~I2@!i8C*$S@$onNPL81-8_nYDABJmtEmo2Uo8|HNSjK@W8%|taBgZHoyfva14kjkhA-Mt4zr;vV0Z2 zNsUkWN4a`j8(j>#?4^Yo=AY13x~A;`(?@6AA~+~y30j9Gj=Rka?%3^n{4#9?q{sjp4~L;G&MbfVANbml9n(l*j@98+3+)bbg)lP?5=M@?`)qMz|9gfGr{^&Lc8&sg(Y%+CnDK04*n_fK+F%eo%F|ZK z0!&Hv&O)GVk~{!kSjUGCYqGtFs_h1X!@pi;Ej@6F5C55us1<=+T4)MAH6QZESn z-g%ZvTcb;ukOS!Cvq7(>9)eBJz4O=ltY3GZF z)B)wdaX9gd6=R;Z;6Z*~#+Up$zi^EW8$b%r#R2noTAAfrk{1+hTPZ*I(xi?>j#O+u z0vdkX(jQ~<8bcRI;(vWS^-xID6 zlDQ9T*n~Mr6fcY@U7sGwGT&7%h4Z}B&FF8!zjJ7P&(zghIr5+*8K5I;=utwGV(hF5 zUcV4{QIUwLg?CB!%rg2HMhoyK?;GT_t=H9k!q7o|uD7O=)h7b61+lld_h|FQZ6mh{ z@R^5aa$9{IyWd!${vln7nK)O)Ze7lp5Ua2xeah zPy(iG(OD>ve|L_|1$ZIVHnsFWq?8@=Cjr9H3c z#%zNFd;es|C*+mLV1n`Rb;kZjw;dK$!CLDWRQOEdA!IPC;|>D@fgW^U*`sHTndlBW z!7B+MB+54rN^CqM3!D?$lhETBj5F)^8@T!+iu3PU4`8q~fPaVW7b|zO_PB2VTzI?3 z&qQQgVxU)sp0QB-IDH-| z^E~}!z+!g-x&Z;lK$CC?5J?|A1RwSH_O$?=`Q>}$St9n0mzG=eh)IxtocLh3!|S+v z1R1;0kj@emfSU536qB)WW2eNJqh`YVf{uw0`aGocUZBxwTJ*a`8y>-7LvCCfqd}Aa zxg+8yRvGMu8N>6)p$BiAtkaPfwJr9iLFlCeDiH!py8^#W;w9nAfKZL{^7kDq5xb3r z1hS~X;OMMD1{@rAPsjV3dJ{`)=3kF7FAi^qV@l1_1}H&j8@Q|`^CtdQO=qvv=eTp{O*ovQ{U7+5t)$mYqGG=OmmPd54fQmdS#- z(%aXO7>ggsw5qHB5J>jm4^&2+{SHCf520HeH>DYsjY1u(=763Xk@L2HWqaE$`RQzN*%hQ|>FK`D#x@|({E5Gq_JskAx0nY=xX znS2ic$i3Y~IYRLbit%S-9kyzgY;PL>IPT4c<)7ed?b+MRFSa4TN}nk36L!z)-I{LF ziePiSCV9xKYk9gL66s9z^tM&LrC_n1x{H)e{ms=|yx*XowPlF$?Q`*tIbCEXJ!eSz zyHLi*I`|gi|3*VtXpd$&l(<8YU10vl3K{hmGa`9KC?3a{f9XC*=JJ~E9E+LOexg=$F6@A3(YFDWnf{gY3bqnKVqkc>v2s3^VX2LvY| zHO#673K4X6@cFwh>+kNj@lYok2jK4C^BVumZq?@9uEz&@49FUn253@^r$!<&$Sx{I z#_md#>+_0?%Or19zDN9vPhD@1++>L5{1h20Jv0O-Zs-?W2=k#n`rw zp@us1?7^q8QF)r%dmT4Hyo4e7p3jVm4i8msZ7@r@*l(!%VXB6THNVXq%<-C-kVxa$ z-6@sZw+3QxCdkXPpy0Q};typFLX2o;_LUA|85pah7tGJl*u8;8ykxroSNr((yMg$e z(sPN|E_3n37=@qGzUl7TY)Vo;qb$<)Q-qAtKO#9xw|8}b*70zl?yOV&i1`+vInGOy z@M;*|<)t>-Rg@Hq8tlWWs~sKW?6|^$|LG z;1K5sF>(5Sj&_p0)j2tq#5HcE@o}iev}L`QDj1x=KSgw*cBJbUxTu1g zPOjaJp6@0dZ1tEk;2LuAtp{RV5leNqERqQ}dTPm=;qyidB}u;y0_yca-a(0NZOH`G z^hl#yb$dVvCRAaL{gU$R7ZpnFI z9|@-h{Wj`%1OF4Sxz|c$pfWYn`}%Ab>l(*l?KoHm3pxNcC@+V3iIOM5ST@MO_f$Gf z;yCqG4nIaK&1X5zo`NOX?QxS7n<$*W*~{4a*X67|(zFA=^$@ETcWvJ;Q_mnii)R7> zUYE=*NYY$tkb{rEfce_P?WqXMLekM8V_ri_RCsdAB{=iNX3nS7h!y@Rx{%%tUr{qji5@2bH*PSW4Fy=LK$_t^tfd*?5n&38sH+fgd0_b?d#E*gUPsn>{YAS3|Zc{7AC)r=fBk$maXfew%lR(Cbx?Tkx=Qe;xB)jpvO^X ze}1Ckv9I0)An>kzW$~y$u`Lr^E}Sl=jtTDDFFd#?S@1`y%NE1CbGd$v+kHuYpfLA^ zj6k`?g9Kz4Pi#gVxeX5|Tej)*ZS#UL-<1^lX z*Vw_|jsIQ!=|wc$wcx^WOJ|z`k3~gog>$&yBS;wU{sUj}d|wVe(8&3ev5j`fb_;c0;JxpTOI-KHzGL-7 zUt%_JhTlz&U&uRwZ;y&!u_9#MR||$ut!Y+1fzoCs7$#@I^!Qy)Q*jo#^>-Q)cV*)% zHc{w1NJn>Dlpide&EE&N@Av74!vMkFkIGvnp<{L|n+Q59M@Q*hcQ84Qlxs_g`z;xG zd)g4uBlPcvHKZKQpU-a24MxHX^Du@}_RP-7SqFo_|1xuS62G`k39N%BR(?dWM*Dp{ z4^Rbmpqge`tCdRi_4RU^-r!>k_9bPBz1{NcDOp%3rPxyhW(A~0{OKu3r_fM)^I`l> z`xnMM*|UuJYPSdWZ}A*m(hgnsRf2aOc5#Ni9shiwvW?pTkp!JPaCYrew21M_ahNN= z|MXG45D0M>NCio$7?U0M@=HDN=PT~XM>pOl!1&;ISL0iO)FQ8lGa=<3$2k{wziMMf zN0w@c6Z(+kkN=0gH|v#MUH7|INQ1J84njgFL7NwDrXLhIC>c&@j5166W02bDHwb_?l&9zGOwsU@xL z_Dxy6uAY$#;_1XZTjcd_qAv2Q&pKRT#lYjwBrk1oaEt8Jk@w)`h);+f>06DBa(n53NOyCRkME}}=;#JWZ)*}QV5|YU40(F0$dVrnE`A8DpVnmKR=SYi2Tq7CCxTIS*w6LL zV-`fmJrY}?zTs1AIBKQ8hhX?|zrkEAE2t4B<)5)WA==um6you|5)a0KeJUi;MSN<9 z@sb=a7mFB$^Iqtw7Fm;B9aq63sz{=JbJ?24cz84yD~}nszpj^C_lC{N<{IgpKU*`? z3Yhcm08UEx&$N=E$7Q$fYG!f1k?G)|drBgOh(jaZO^A$5HFf|InQnYc<9m&1Y6&L5 z8##?zlHca-$h@hI$#j+_o1dedVLnYO&)K$G6rf(H?8AZL)7#F4 zvCZ<%1?FeH4pZiAso~6qtCk%j>~W-&W#Lv7S65lA4B!;-(Vb8!%|14Gs(-QA1&wF> z*i>-QU4Qm~pLIQW$)EQZ0y*;Z6o>-n)NqUF`dBXz^TLsmjS&xi?orhojO4tVg#^tJ z{px1eYO*yUfxopc;z&~a(|$szo)-t|&0GZn=em?`B-{qM4O$XsZa1l0_=ZS`*6|^a z!R>rca*|9ggBUZGwuuhBx5KzPyr;O?67Z~&A5GI4pl@I0CO!_r zVQe~hdL&ira=Le25!<_1ro%xL5KLCr=JR&BU{-E-&6=)8*%(XU6q{A~DvV=X-zg zXbZ{xUcWHk;;kcg{0HUq)ctkdAMzTU0lbX$M?v1)%=qb9oYv!gSSNe5 z`QD6BKJQ_ad}Q?CM10~xp|PG}Azig&7v4R7%hGqaX!k&@Q^jSSY-nU1S#hC}jb`d;+zUM+h-LYpI z(D$#8l0mqG6z=A3DFWCly!VK-2RRh7Idm~jTQs)d8kaY)ndn$1ts5TqZl2@;YLV5( zptlPb=`IRJyiNG^fUwO?SC$`ZoBbPx;qmcZ`fm=i4XUrhIPB46WokE6a1Jlj>+U7C z?@Rs&{qgKS+P3oFtVN@F)6b=mj?x{1s?(dh&~o~@5{KH`O*pQV>PF`6mAz2A!%2S4 z1s@926s7L0kXCUoP`58QV_R%b5f8%n?NJhEx=e->;jmNIvEwm%FCa`byoAC17(WN! zvD<~5z2^c}#<~|h_5qmuFhJ@S%y0{dOM&dD^G4*z@EcFH&FT5cJ=lC{9ExtkGu()- z(IawBggY@o@g9sj{i;j0|9bGaAmzPh*-Hw?*c9?Gmle@6rIf5kl(23p)hFkGIGu`x z;OygVDJ?#6b9@9St$I00)n5ZXs2F#{DJvlJ#^9j(inYa0HAp^{{Hay% z%k#Piy6?~q;PKKEl8cbM;d;iejd#6heAwCL#=9IAFru~2i^nLny*U)+(x1cRG%ovh z@9(g;pw^onxD|QGmn6mDz3ft6satrtc~%+N)cfGBMWfh53hHou>pKf!-dh*O=d#Wh zzy^iwyiylR1@!sDjnGpR-5LQ{cLIwks3eQ|v@q8g*N=w}#Lg04mkvLb=zW4CVl%AP;~(PF%ZpwbQf2ueB!w)S^s*B*j*P8B}uaO~s+F zwz09Y($DbWclX;k4c+9w(X19WkHQ@<*ms*lk0zmqaT>V9&}^uc0@#N6bW&cIqqAJT zA*3o~ou>*-s6dUk-=BFaT5S*$hiYyBH6oRwwU67G0)j-pljTj6nTi73rhEqp2@BG1 zYvyr|tAZ_~>G@Qt_{}=)Yd`Oh++7EzI&)XWQ*-mW&_*TB2HxSp0&<|GLGeZUjDZs+ zMG9N*tvR5BB==^(X|w(?KC6vy?vPK~8T$dds{PBNw`NSVP@S3tuq0VPV+K>42S=mR9 zeXJ(9_&h$=HN__+$jIWb%vM!qFB8-nUSs6Xw?`QJRr0vnT`-SvkSFqi)wYL}xPx*d zIPam9&Tp_ab`JuaA?#n~>~a;j_&FuFkTZ+XL78JqW%n^RVE~vC{`t5C0pfbPeEpfn zdI<|n1axQvA8p4y1)u!Q1KsN8$bkk9k#)1s=HN-sfQs$2_b@*zfXV#g$Rx486=bE3 zg7@Ws-Xra{L{kM|D7<=qUyiSHh7jm+Ikr@y*9E*HUZFU^aJ7WUFglX+i7*(3-YR7efD~&v*gN@J-?oAsIvOWlTahUR2KPriiVEjJ|*6OeJFiJ z#sl{a-OV*j&MEeBr1pvRlF(`BuF?}O8g4R~YRI|5FOZi!p`srPQ8a>?6-0Ray;=A~ z9R%Tt9muw-+<1yW`)Sm`K@Jy=%dDKZB;0-o0>m3zvgXA?QvjBG&jUoza6)P+d9(gl zEC}Hp2(@)KuI`Rp&hRTp;7@xjO%&y={S5rGN|4l=E~Mycp;WTJ*V?iME4!t~ch*cM zRlobP*6-@MGv5#{x9ZWlWEC2E@#f6a*Q+6C>k50kOhubBSVUK;8=&OpOLYlLB$@B$ z4o+g`HJp%q(<^3@)=6K4(#{BP7d?Jnv}3kf6ejnCHTbdetv1dbaM3Ss9mWf7k1lrA zYbQ^+Yy|XxH~IRx%<5}n&nG~RE)KL&LHAtZ=K3Q}d15n*qntPa;f`3WuIP`4uWfWN z23<$TD2{VH)Fc;f1%12S@+$h!JzPJuf>bm`C7yUOi45}*&JUfM5xQ;M>$bEU)mAU$ zRjO|m`PndE;S59(6;&=Et3mi$AJ(^{w zFw=sg2N2&|1u%|bqi)JG7qdYcph|L84l^h8=9__~*0o$ipCIz#c{pg3a=$D2c``y` zd4h?_9eyF7YnFP2b>dG;Zt2BwY#P#&;7LzhjLOSCi%VWfsc>4j8}@QOU>|F7p$u@X z^hToM6OWSG{y}OyAa{rO@M+q@AV>Y-=^s>rX!Zm*BtGB18c3Js^P@#dqmj2W<)x=? zB7ARnpJwJ&==t-w!@j}h*?jqR0^QXcP2LVlrL|M?S#MYN8cKzfx_ko2=o-r0v#7bu zAK-P2lnNq~t~n5naXg2Rwbw>MzW)T=N2zba|e)dFi>XFt+)W|@XEGN%e z1u27_X>7jSjQ~Oky<;A!oUp@!^HsQ3>UFPi4s6{~Iy+@b-7MV6+V}~&8S4Cs7Vw+0 zE?)iJ*ti)&>pPG*{Lsu^4%u10GZ0aRr^=yjG__w{ygi<0FrQGjy1n@el94YN5-eiq z6I0c6H3q%6O>u5F}V&WMNxt{kv_Ey%f4~48O z*14acs42d<`N_uBJOKC;aI_><6kaGkbV(Z+HeTpWbI^Nq3b9Xt)7)C%VFmsagGc`L zb$q5%mkIUr&2zdgk+>u|p`+2596k5_AYKS}2@4{&1MdfKM|4KG%~mOq&|<50ExZ-N zZ|fY28$rsd!;Xm5lD*ohnGIN=UMia40TIBY+U1Ys(?`CpInGaRpKdOsK8i$0a76tz zl>UTOwDP$~Ks8k4X}cN=Mu2^dgSp(Wi`&D)e4k%zv{{1OtK4C7-!|I(5IRk_08+rV zMcDxjKqVjFlMzvj?&wIx*-qqC)4|pY%l`N} zn0J~e8T22Yt~l0Ib-XYA)PxrXorxXR%^87&_{qP;;)mHvAK(#h(r2;fqlthy`B(_? zcAbw5Tha~sDW5f_-|hy2iLNKt>yreR8@H`8fb=-+6_|582chWt0#=9CG)d;vj)uBt|2_1&L7{OG6=Pzmt zY071&NEiK8>@RpaDG%ipM^+zOXo?zaXX|3RJqOGH2@fAb;!W)}Jq#69<<}%QL~3j0)fLc6`2XD`ATxM-Th@8nSR?e~Rw#N;6Qboo5xl(VyWHaaqIB$f(76+vMB>1sm>g7Y0v)GZjTQl2|`6=`F^%*zd zBI2lln&_5cK=3BCZ8w2Ld{Y;T#JrRz6ksa!-H6aaEVdgKoK8FyptU6rJQtd$x!S|Q zh1tOd_raVutNVtFdO&FM_v`#@P^cMotQN7l=R-{byA!<3=mQok#r5T~!`iazU@9Fw zLtdV!-d&(u|NhjrfUZ2Y5`-v0*)9^fJZw8EKkagZt2z=f=!p6b?sq^F_I>|+0s74aAD!ygc?gd} zQa7JDjOLnRllUytV`^DHnOMKpwr#lZYzvbBQbzTz?6=xh(-uhfBn{?WIIW&vug!CV zG0S;pZXtZkeUn=v%T2HJ3yz!6nsuQx0htGY5U6#X$HbKvx6rhq3rC-ADK}RM0QQaV zhZ=DOBas09tGc8|eW3#B+1l`Vq<7C9%!0QaEx$I@F%tMF9G>XE6Gv=au!{iKm9TY$ zdPQc-6J~8j#Hns z>>sDF9DT97eAZ18+Fay62E|{0P`@P3GMAE=m#7b#SjHywVQ7O4>Cud-HKR)QdN?cV)2Rj z=8pi1MLhKcj(P&r=;cpPKX-3o0EMo13sXG^?R%ctjZvUvKqMWsrTfEY@59Id^_DtF z?XrP55IL27K3+V;o_Lt|Q%gO4*Cf#_R-wzgr3bWfYX?WxDmXvTJP@}8{j#ZN;rR{4kx z^NUOGRIpCJ#zCQr-o!hr>R(y+O!|po24XH{VOeT)(zC~_>!KL}_w+dJQpC7R>T|vM z_7hvs0(TV&W&omhCc5EOS~Ve?=Cr5-H)B6T->rsDP55O)i-u!YC-N+9Kl^5beYtx{ z=L-o&_@57WTuA7#{r0+DelwV_HK5No$eFQw2tS6jhPsr|Y4pP@`_o=3gu@YiqWDom zSt4;5VIB9)vbH3|1G9Cg(086-r=S9#T5!=+w8Ict!egt#tYKMx;!CW`1Y8Uh3}|$t zq(@I{uCHkPa0tBF@m4qFeBL)kjF%Z7WlQHpIAmnw35aaOKptYz^gX=7_R|C9nbjzv z#?oIi^s)NLcZgb2A%%kJH3;_L&iM{vEzlQW2ZdSbv0d`wqr#$_&^l7QpRpt$YXwu3 z#~y7j!qq|6soHSRJ?F@gz#WZ(8w)|)u(&Owc@aBq$35xu)C1P?ZolP@6yb_|PvNm@ z7T_`~sdPsACB^f&4X<0gY`=e_lCoQ0oaK21M~J=kW)uniT11_vBpsx0 zgj5yc2kiiR+WJZJ^x5ajhynIY+;8v3929fosu@m;G-3isg31c8X z8exMZurPXp|4ty;wuj!4?O{J23#+wrpGX@)M!&%YBnw+tI==Lq(!_Wlwl?;QpRo;% zS9W*{2eZERH|?;??%sYK7~H2H@n~?{okODbv^ipdI2KVqdl#FH-AYCJ^NMQ~4{VE6 z8Z|D#hbZ3Z{wq73+y@kcep^r3^y%&FGwh4B18!h*y-H&^ zgRwzw=2S*r-N*~->)veI+3jZ!0Ej-{ktt(yY-qYEqwTc)c3&GB$1*FCv@#LF_(U3^MupH`lNIyk)1RcD_3a)@V(Y@$_=KDk-wxWTIiT9yqkyFebyLdD{Q!c7IXOb&bN zHRfDpvsztL4c&tKwC0x~AjcAhB?lz8V&i%uIX*IRX|mzQigl&BGSw#+AbL(%A)jp? zV>~>V2eeD3(%8Qr&zt*@f1cpeggk5JVQWAmWPY%`4sTQVR^gg{@(+N?kL_JUgVe@Q z9@rSbfB4g!;H$9H*`fP9@IH0VxHx|5q!=$Ddmf$hLOG-7A+Qc+B1bSLF6MB!fJE%EOYOut@VFVHp7l{udmUdKhaDd{OPd(FbWuQ5l`;K^ z5!#~q?5(`mIu=Gmx}Q-{Q|lk*#39rkWjP+h!w#v;a(ViU6^7m;5`nHlQPdkCJ_+az z?^fR;m((aV`eKiWLCpQST(VsDdB*CQ60ipeHEOveN0&2p}N?fv+?rT(=0^!ESw-}DvQb$t2j2UDPiwEO>dT_8r$+*LEVd=nqc zFMh30#+BVQ#p!;(|L%9c`o8}k{@cIx-Pd3L?E9Skd*6Nc&mkWC<6q;P!`E{D^PBMb z?Jx1$Z~n{gf1Uqh{N=yP|8xBQ&wuv)>EBHMR{C%L)%WS&{b%3*I{kb2%fFA${{WwV zAD{oxUw!|Fzw_+7y6=7;KKrWs{`_zB>3^F4$2dy*7pMQ~zy1%uOMjjICjImLH^0SK z{#yFidxUR4KU99exB5Rn;OF&!|MU7k&;RWoUi9@Ce{ue<58_|G_}}{X{^Z4f_}gJz zmcQ?&I{y9-e9(@dc6PjFTcHsKOQf=;M_lF_Ba1P9lI}C`=xrmzw~G~ z?#nOT^Go@B7GM1COP9u9LQJ!9>37+)`ttBQv|WGy^~(G^|F2&9-+ceW56=IK&sqL? z?)`MKYWf%IpI)awxk9Oq%lqH|Pd{DWAJ420^8XFz`r}D`yLZ3N|Brv|Yx)26voE=S z_Se4q?jPa=AGne6*ORUNtoiZ=YT_5CojjW_ep%vcB_{j!%a>pM?4tbs+eP{EyD!1B z?Vif5&ue%Z(Em#k{D=-ZEKU%lVNziO-Yw?F*UUq^oD z|L$LZxWD@x^*2A<+W-H`e8%}Nugp&)7o+RX^9P3Q|I=Vi|55s%*rzoKk*N|F#l=1V}khlaR157@HhVS;r_h%fB(GrFHZmC|NPU?zyEL?4E-;dHhwwu z^MCZym-1iZuYZM!?xz{=xA?*z{wyBj5TpM0P2Bcn_kC`D`Qxnk$9XfifA-}+{Hlw` zj;KpNtG@rkpZ$~77`J90d$Ml>ho`;uLwB~yS|Bm zPlx5q?}I)oBO>qXsf(N6|8Tm*8;u+^`+JI9{(kw}y1IYg{``Ia{A_>y%hUY_|3u2} zIQkc`*W)kCB~Ok5#bd7M(l6AP&!zaM-~Zun!&(xG&ChY&|K;`9zsu~kX1vMs{tmA{ zI8~U}baw^IY{kJ_b9Eje6~&($V4YqR{<6|sLvjv=6;L-aq9o*K*Q)0l?_e*I!M@Cn zhg%s|Y8_C_EW?0SG2eIpV36TK;bgdj{``C8hd9B(%kuzX{v3Pbu8)rU;bV&_e$&0n z{;6}|mx3L?+LgPDZ7`JvPzOD$OM+MlNc#4sYUQi<>E7Mv&A!n|^ol!;LNzwF`+g>Z zImj*7TnP(piML2|XPkG&X^Y-Zj%A4CkcY-Hpk%ThpJue>%?Y2yxEa9De>imxihCz>EC&vv#XXN{{;bHU0Rr z@Mpap;0^!F_oRZIN3cf}2jEmjK0bL~faCDlIWj19uh!jV2KK83>~-?;Pu@R@TzjyX zKlz_THhIrO%zIek<^$C4tzsD@iUArO znH}Cgz}zDAtXX<#-T7XJD;IT-n{+%$aGXI>>Si3phWXij(;(aiql!(?e1LRKNKb>0 zeZ9H|_5S26PSf+X$-%E;6>>keL3R3UHlc|)yL!C7X0fsac8BN(jm+R|qwG^XiPC-R zKP>A71wE8wei&_+0c7t!{E7uF?IdCUVuvx}_9Xmp>%HyL@9x>%?Tao}DogDk%odZ( z4EXlAtTia{Z?Y%Bni2Iq-aL8Bc*AcW3w|RZk@=z*pJTtOri%~Z-f0>esu9N3lWT)Lpi_OjxmuqA{nPgrFzoA_gkL;~>kGqUQqtqQ zl{cusXqD9-?#G3mi_XIMlQI6r8-YuVkPMTzRE_KETsw{T((|`~JUk?$xZxFY8s*0_ zi(x4~dY!7DKNEOvW^PUND822lC%YstnTZ}KDk4Mpgo9w%I~cs_1;&MF{2aaeMcu>L zQRuCc4c18OY^{;hk@@my|dd$nra;B`e? z8<$O}OWn7yzXo?$MVejQgHwhg5@gOTvaBr?>Zn>Qr2ut!wD0w^ulvL>ASo@@6|KL` zDOQ0)t3U+m=lgJTG=#7YT`kZ34G=S4GIuWDNCb%Dzy~!KpJ&}od#%NXH#ez!_R8HE zjo!zTu?=U>2u+&Q;T16eWD6^6{zxkWC>p>UnR!p*#EAo(a{7|mvEJtKs80%cySYVB zUIHGdr%MmD&>qzfB*nQZ`m3y(!qlpJ8L)Dd&dk}$cH^{8QU|;Z&c;dQX zsX6ic>dXD|9tVqpx@h?;?Z<92y>9kRdXKQ+<3YFIcf0kvUA)J^;@1$(biDKOuIdB5 zgaDh;W3VjXZQ){Zoc3>a{Q#?#wYtIMqRwmkONi%-Lb!SbTv8l$)djm4_p+YySfR3rInAR1>j zc`-|K*If-=iZu>Oeha=#XL$)tJoRpv5OUaS2;I$%t#5tKaQ6;PGrYVgYv+}|WX*u} zcE4XA^CIF2bB0@Hw}zPtWE^A8z{ARo7K`cFx+*OZ z$Njy78Z+5Ej*<;Kv-q*N3VZrkFEswix@%K30hM53S9;wqc@Ng1QKc2^a3^e7oZSoI z!NjKHZ4esnMKCO3A3lytQ4Y=D6?)JGwl+n&8Mly{&BN}*w==Cu_eW%YzuOC~Zz5=T1-AB@5 zk-c-!E{e8a7~QmF@X_H|Rbu^#A zv6>5#%sIf2^k}+Tn4{{l={A)>T4>6mN_Lqit#enGV05ow)zyau`Xui9ju;Hhs2`3~ zp1IXcuN_4oqZ7q@XXjR)&+0(0yvMFnDb_{${#rpK6qK$L7;6F)_)^Sa23Am8r$}w8 zb#*&blW{!19b_4-G2e|Cp0>quspLVzftkTss`!||r0 z_5KN#X^ZYp4GHvRm8VwObmip*yx)|qYdf9gvz33m408cylZI$`itxNC*K!papUAs%Sc2&W=U8gQEIH6l^m>D2V*H-@v7#aNS#| zUCyz^fC6Rum2&}B^GGMztv(S#${NcvyLMkkSd`9-i&+31+OpZ98&aCvJo#ccLl|>0 zq7f>|iyftERaoovq&AHW<(9U-t(@2DZkoOGypU&ADF>9WW@jj8L?K{66)L~kUawla~dbEdI_KxzCYZ1>m5!Y=6Y{tSFTZ?%)=e8jawKjL@ zAWn03F5#3x$Fq%;tVB}md(8!ca?_0ljcjLqGVFLr#c8wOMeP8)*_+Cs)XNOXok|zl zp|I}n1GhBG4wL9uY_bJap;>QwUT=1`ZM%_uw5Zh1F&dr9eECdlc&N3K;J0t)0NY5% z)Y_{Yn&ed8?ZX|dD_EIfnd$1?#jl;|aSZ}-CDGHmQ}qBVIRE7GWSd<~kApw+6_}g% z+EfK$i#zka3F&bbxrcKoTM8ad68$!K@6nm7j(whUVq=`ugHaybVfSFu?qZ*(BgwpP zwa(95roaYj^K{n_9&Jj&VjB+;I`HHT)XMCA zf9KIaolY1+y8FBuXLRi+FYcIj)yyAF_L_laveVD4{+3|YBl!F)kD41=L^NwJ$*smK z4|f|KK~_WW*U+nWYhEmch@<{i@zxNJgPHo%Q>*oW*=$nO<_U(Ye2%AzWe{1J$; zbvzBLlSF6sDpx1DdV&sgza>}Uw0Z`gi1@Nqi+zFaTG**3b;L6E5+U9@&ndAd+y#`v zI)ITqgrt}2ctS0dUN7f>^A0m~f#{E%!U;f71vS0r>IuKPvota7u39jyBZmtb$TP&P zH?Z$o!>(*{AKD9tN4jOOaxok&HblZiN08=n5Cc0Zv*Cni` zuk3T0{nv~lZWs*9e7m+b^F5rI{(|OfyL~5nxLnbX7ooD}`DBvID!I+f?d%jQdP_#r zF}E_ViqJR6pEz10>0?6?w_P+X;I55u;=B=~`~GAdgXzw3#UZ)ROIABAWu=(z3;yYe zqCZF?JVxp3LEt3Gdg+^zx9-@3AD0KX9ENs9NeIzom)ir`#Aack6V-cFTK-&wk2>CN0IZ}t+CY%A|nyAZ+RtD1-2xapQQ zY6tzc@0Y$nGh;r1(}wr{TFJxeKJCNC0r`oDsiEg%74>uASkfRch|0K8MyOwtR}azl z{IcCZej#ZULGvp!7|%G5UaqKz+PalcaUHEf|WL+ z^d^c+3qFXVHX+}4mq=$got=gB=7|pU z7q8gCHjUsr(_Q%1oNU?GR?QUNTz`nm+wh|RV{YW3KRnp0$kE4kILMll%wD+e4+RTU zPT%-ax|jlB_3r>F!pmmX=(9BJ?s0)hQoCa>oOXxj_KXT2DO2cqd`a`(;P1i#;tjDU zl{tV`ynEf{yTiRN@l#tvT)stEa(UiPGF*rkDKNtHI*(fzV{~4NUCaBCU6<~AIFhmC zUZLp~8A!cELeTD8hTQEh6F9ydY4Zzeaa7?Pm0E-`TH-dD2{;?ua5sMjj1TGvfqs7Q z?09&NJ^9mtS2qAxXr6%78hUZAG9S}mr7gnEb;~Uh^?2JJN%&Hn$p@;OS433Ig0qa) zObG4<9jG#}E;+H`x?Kyx<7fcvvd5#pj$j&5xIwz2HS2_PnuCrjNUgDJh;=W?t2F7- ztY)O${OZ=M11lzpH0&|H7OHSmz)>w;4cg-0>{6C5V2CD85oXUDSJ{IeGHuY8f}AMyF)U?% zqb(jNFW;|7iml6@3eFNzeazzyY2cd)b(Tl3U)%cI`fb(r`DCAJ9;%P?I)s0LqbGW& zr^XS9Fdxky!HJ2h*CM&Qi{l&(GzH@@RH1{23LQg3Yt$gch%fg`FV)S5U1<6(8ei6P zRE~(=xBPUoLt&;Dy0^8U2RSXe?6AS2aHE-Ne+RrTIg#@*x2M(Myj@HQioAGE@`>F% z)i9TBg<%_V+Si@nk$1K;u>GV_Z0$_SM;(2;UyQmiB#9$ecL-4Z*XnsQ{X)=BK_opY zV{HJlCt838*WI=* zHutM@eN4s6H4yWmTVU5*RA;}uma5r;e1$Al2OUy;2AxeXD>EcR0lwKSd%IPnF!w=< zzM%!1Cot%4<-MaMMXH&=b0SVgykrXT;(k=oh5|K`dl-`(Qe_r)!))({&@5eq*j_I@ zciHZB227+9AR#WZ6*4E5f^%{a%RChZMwoNMD9s2anc7LxvF3uO0GLNvO#1SC)cfVb zv2H4@LdVzIJ0RrBK{;h~mL=@SW7koH4;3D5>*8b=CTa%9GG67$DUn1H`QUTlclJ?t zB(9j|CAHlbdmv@)aHbE;16fg|B-j(RXp9pS_W)VmOW^zuh^1Fo*xv{gy?J-r!}vmT z@#$qt=z|hByYhUw5-kiC_BpGDJ@aPTt%MP)e5 zs?WCpa?-6G$LkmW-ZqXdDEzq;K<_!;>;8$qc+O$xf!{GC_pQnsC zJ()-&NA61NW?y05J|DL8Vn&}xh#JBC&clXqX&?hbIo6kGOY5=~)Wp-``bf#bIrT|+ zB#>uU)O~t2EON>Vbj{>FJO&8*p_z8Kl}qzfeq8JbBs1~~8TIb2X5n!U*x))hd4N~p z2VFJALrQRXY{Je)H*->@Z7FrsCDBaEPR2ISJLgD0O(K0Q6aYHXG`Jo6buV3nM@R|h zu>+_enq-v(^6JU220wToqZi^H{mvIbewEw!u;2nicP}=$1KqQj^;_oy4UfS7SnoVX zaT4vB?Bk>}OX|$lsk?A@dZCmj3Tv3#4B+~|021kdba&5^vso%DtbW_U4DX<9lB8WGV49LqK%{g*~F20QFBA%~ol_>7f%@ zrr_&0N=cYRdaOisOEck?S)201_1rOjw)CCY-oogn2kAvUPW5{{p4O+c)POI2-K%d0 zcJ`SQ1%SCxE-kJ;xiU1v9d1k&niEQS{A#yXxeKWz{)ng2T!MGwD{zshc1TA}FFtv$ zdFr@$t%c|V$W?;#nduHb>8!ueNEMF$XJ36l=(uP@(aa< zstzBaWQC-h;RN}*c`lUG{$Ly%MVRiMs_c#8xoUNTU3eLoOGa|rtQmAj-C;D1N222= zUWp@vYV~YL6=VP0^R~brxL1sQXMyHyM}gIY9hWZL!!G)&6{OqCJs3iqwvpzouls)V z=w-Ai9|Il@@_Ft}qz|C$w1_#M2MLQL-#}7=B`dFLAQUR%+K289F_pRo80pZeE8rE4 z{=J}?fV=OlVhuYfh=m%hi~O4?jQ*!aBGQ)3glhVBZ~U~1XoF17Fk!}iYV>y7HFAws zfjvY-M^yko%ZzpPj3~Q8l0Jc(#n!l87*MGCBNHw>h2(CytM?~&c3FA^ZJKVwLp&!@ zE`iikuaVWC3nB&vSUejJgjTKkkj!TQx|o-4z2%)&nl1kp-n?)pjl13*{i`&w7bO$D z)8?g)?t5zZm*^J#D-hr?dx5*ob zy9|{M^BIJBGPpY^G*54PjD&SGcIf4L7G%V=^9x!fRrTV|UiB9r0Jr6ZME~+?;lr$+ zO?;!wGMK~m8fpWP2=bWC*%CCG6n_+YevSU;5hl0lX1Hj}yUD#Iu_$FU33rL_B52mp zpHElwxe+yocjIBKB>gnqB5JjE#H(BMMOT-dAedkZPN(_7 za0gwE3!=A;x_*b};t-802Xfi8oz72!Be!p6E)n{+>7uA@;GQ$W)YQx@J`o}GJ+;4P z#~@&7M~F5rX9H#(vn*zUj!jX5$cKpryIAIcb;>JkN5f%g;fA_qMxl7xIMtr!DWrX? z@~#B?y?jABdVndwrPwpkChzL;5d|e3m&S84*F|su92+w&JpX3>!SroK5qB}?Wc}2y zQZF{bLtnc3d$G3tXm+=8F?2dL4;0yUFfj)Kw>ysK?cIA@&b%v(jnde6mW4s|kv~!D zn*l(`y}zk@duaESx4HHBeXOqz>J1^qzpTNWQJp)o$%S0fK-Yp?1|(y~W0c<%0otbflNi)Xi)|FAGsm+6S#4 zx{=BQV$>FH&N=jy5L2f;{rwXyy_IFPpC;!vc-I zMus)e;v%}=8k({L_myw>uC8?T#WMNCEZOH!kNCIdR}bHrmkl`co?Lq4#@8WQwFSOS4XYqXRQ1~{o{`xdGF+%I~T*J1D?fl*7I$mxp z-OJtAMX8bonnWZfU`ud4UH1{Mz1m$fk2h!HN>SWCkZ&gp)WrNW=gDPMA2=9hSEN44e>$sVQ?4S6r5M%*52=^iV<|3fFIM(8T>URfC|J)K^qA^4SNj#>~mpp6_-!YCNF!W$iYH2?rP0YD^Di{Mc>t)BML*-xS6KEcqL6%^l}JhlR7 z+l=Atjdn~LShjg3JRdxjs3k$uwzY<0xzNUWe=?3T3`K};ZJpU%Eya2Q=ZnbhaKr=D z>nuM4s@hfe$NhXR0l{1Z7fye_G*74QU^*R6%l%-%U~L|5aar-U(|YoA8*ItjcC&r*WX;?radkfPPX@-zV)6)`BNVDc!Zhl# zUgk7X+h?i|)>pMf^8r=Xtjw|RBPygjZ--%C$HPDi=6&g$fXh>+xu*fTqfXDNq>2Jwkf-wQiTI`~a2-NRnYC+@b^%fhA?r zN<3Ub<0Zvd%Vb|6} z9KRdnexNXxLS7j<#nbogGkX&vOgcJ*4^S`&(TelH2c)Gqk4d+A-GLo&*M8FlZs1XNd>gPf1ni*w5{hVq9e(a>^uT<1Nj z;SROAx*kR0t)W6sq5!wIK012`v_U5EfMOx#yfBt{5@fi+Y4?&S!&};`S$Ek9OYR}f z4@OJ$+tlr@;^9~U$0)T%bhFqXGs*?%ZrnMke7RcJoc_hw4ObkoqZXf=f^9VPa2bc z)@7eM--cDeOfc;hKn;Z}c%V0lk4%^zF82?OX;$u_UHz;`vB9wm+b5KPmaZXvqZ{D2 z{LRUxZ=!NF?-|{m>2rC%^Ya>+aE3=KA5~QAMT8}4cfTy<$ACqC%XPaZWCfjwY_hV` zF@LZW<_gjbOAjR+EOApAt@iF!K_-Z&&9Ni5E|5j}dAN4oQ@^jGl#WwDNc+>HtnlDZ z+IIA6dw-iHSIw>*oQj?&{SDKW;WabbqUAjagCh`fG;a)Z4R& zO&*^P_s)BvihrU;gLBNssCM=^=MA%cAEa<1@=%#!DP3-aumXQ7rY%#}-ZXWeNs)p( zdOY;&Vk=tABx}A?9bZJa(%{+ZnBm;K>u?Yri#Eljq#nn!h-@E~L`Iyh#8stt9bqYg z=p=(4idrPA63IQS2-?zOK@^5c?KZc)siPoQVBsJj0X$8tmqswtmQbUFCgthy;X@CP z+>3~4lv8avBU+71=t_}Acfs)Jhy*vpv50Ku;<1R*D#)m`%Beez9NybQMV2ruG_V*O z%(W1ewgp&y*epOn*@&?L`8gZLhRr?*z1TPK4N%(?Xx|TB)-^%QMi8U(45{e#V7o9| z+}*d$g;B=SCd@=Ltvl-_Obap}QV%jaB@4CuP z&GH8d4R`JnOdoh*`|WcNjZJQ}6bc0N5`vo)$t;IvKUyvj8^2(dz@B@xKHaAcghKH(dCvbhM%1pwghjbhad>r3gq&MN+Yr}a>i0jSP zdd4U|!DX)Y*m5b;a1(EH?)12DCL}GGwu9srGfcCE-43__DCIu-)i!Yti^Jj=X_SC= zu@w>RZEu2G!eW^Ql)It#tbR~vJ-cjJvUyyfCN}x}Jt_j|>sFFqFBx(QxEuTGW(#lA z(uZ^3nN1QOAO1|8osoMZ;!_f|BkwLCRtG>6BLkKYJi{uBDu)bpVsHz5wTXp zKL5W9=hPy`>T}L9`sl*DyJv!Z)k&YAqYT)?q(iv&WcAIeuyV=ohy;OCi?KNytA zTgaNl-N0TT|AaD>_En_MD^|m4B)yy6uo5x|BW#ftIF#q--;MGKIb`eW_sgH5$@x@U zxoeOd0rmjp%unQUof4LH7_TRX%}&WVwAqNQz<29*o^kpjrhzBe39+UJfk_i)h2O!gr)3=1UXO5PD%=U%+z`$LfURc<1;2vE)&r?>eE1FZ%I{)T@i7M3TsF_Bt2abBzwjUbYuELH!k(&dz=mY?VpqLpqlfqyFRjhL2iX zQVvV$&#@Nh?@~Hr#xOS`((CRf_HTfczc6`&x z8<|Amln%ilX6v#Oex|$%X^p}qDERnuv?9_;Kna?tydEDEuXl#rk@lhG;5+D?X1%IV zWKQPsJXH>2Elj&GuQv6@Xjer7=dadpg*}*&eJu-D!u!u>2!|lw{)FCticVKypg!J* z=r*$uTNKXqblg85WLY7a!Eg;TxLq;=k#iTY9=LS)v?yrKvwBc3b9Qk~MtM%}+UtPG z?>RM)ed&@bSEwaOa)I}C_P{(XifJGCBNftiACx#m<26)JLvVf*nCxq3-TLKxrq234 zl^@^$_)hEWn{q#&6tDcgi_9(yXYx86vcG2EL2%X~aMF){^w>VM4(*9qwoBRDvA`h#yMU{CLFz*^u)lE@xH^Nm#XWXh-`q14)lJCb_o&!;=qfn_vmKtRXD$FW1R=bh? zkmpBr`JmhB+B)@#TB#z$$3O#lOt??#biW(#>Vl|<5npiLkiX~oJ*;#4eeRQ#JYZ&t z{pFb^(cEMqRJlyb?zfG6v`PyNf;=v2cSV1&2wu%0H_V$Xsc~x#aGad)Vx~|Ku z`H1wcl1{aeYEohv^I2m-haMw1Hjo&-iOb&VK|g=|F2f#FH-mnP(q-bCyS{5Ypy;-o zamXQg>eT&f%o_U>D~UMV80p#f);Ql;yLt$L38h1F312EniMInI8xQVaf>TO*!+5`6 z*FMj0{vC3{$1Q(~4nAL_uCN#bhC_4AIh@@TlT2*W4t}MK-F^HWsM*ExTedv=7v?WK z8?XR_2j^L-pXUvm!7GP2|4(yjWo$xSWv{Q^z1T>Un&a{|fh}?$iAS&f;T<68SccpY z&(m@cCY(H_N;NQu=pLRzA7d7~zYA`P;}M^fr5aJG#o;u%0|0JeXRj10pcI$aJ6Hzw zHiANPbTtN9D{iSCbKP;yQ`nKeXR>_zI<=@{USk&|i*0)yS}3z^B%=kFyRfR?aUT_r zlhk@MUk$u}!$YF4iCf1x)lKl&UFrRIA z0M+HWj?+v8lGmJ>JzW9o72RzUB@!F&nNn!&Bw$Xpmbu+mnD<;SUAxzIljHnBt7=?c zs5e%vvwrexH%=-}z8!;@Pd!T`lwUB$0oP$NO?KzApMBI_T0P=iCaI(r0VbTwV zIp=cRQcpLm({9x#??yY^Z1PvS&D8QXzs6Pb-`+#axgRe=H03QL6l<#quti^LpSEH# zXr7;NWsi10nw~9%ITvW3NH` zGie;gZ{W9r#bQd_?JhV(YCGs0phn{v< z0G3+CHsX`k({yot*IU|t*b{r|lMF@WA~D*px9)kTehA&y=q&s7aeuezrq_((rPci0 zr}zr|eK!+!<=6$eCJ`#h8Mq?O5^iC6s|&UyKbaYS*fu986F>B3g`Dw6&)`C;5VXUO z3rN#1_SugQdQTi;U+)tv)8kEp%;7v9=I!9)yG*NbzkBsHfWpK1oe-DJoPsnlb`7QE z#P_f-pIdeXVH1m01w&w5U0g&{w=@a^Nm)b8SGm^u} z$?y8GEzn0ukRT4vGd_ROz(sq0W_Bdlo?!oM{UdlSc*`i-UeBcIbJ5z(eNki5;nm1I z3r|V3p6%;JnjUoGM3iddZ>Rm0=|Jte!y8*{uDXZJGy7c~@+oNJ(jN64Fx#K-eDaj- zyt@d#i|4B)KZgczFK)jQfH|qS5`BYX_rdSRB*n`u>?q{*7h0*FL#10uA>};)T~Ha| z+0x)C;3&zk5#=02$#+SqA@R54%#z`la*p>9s?mRccIs!~=p)zc%pzwZ%s6go^Sf<9 zs^Z8ZKPmpPY1dCf%#TxYjD{18RLyCtO3F;d?Das|=QLXc@7Xc9XZeYD!yG$nmIK{Ywz9T*Fkrk9qD8t%xnbxqbz|2 zpugDinGF^DgIg!ayEl5pn;%d@Yf(V()5Q#&YKyrGjv{eK3qFWDgW{hz#*qai#WmBrpL>`{%TKNZYcm&ddQe$Frdtyw+)B~Gbbo0Ehe6!yGHnl&w;CGR z29bb*XnK$I`>k!kp2)8Y04hN>wm0PWPl5KivM1&zFLCrKcXwoX!{@O3tdAg1eH*p@ z-+r)TK`=R*u(`5ma#E%*F*(15_|nU|YeH$4Px6<9mZi~gr+k{m(>a_iV5jab4Rp0v zUJzo{K7{Ww3M`ITU>!kNS|L56t=lq*UNPVJUKs4crhk=&yZA`xjk5$-DVkMW8|3eI z^%2_`KMuYZ;t?|z_dX$1NlX}7&nx@2QQ#?pwalACNPpjFlBjNZAZ*VMCbhpL`sNmR zEJHOHf^^@Xy7&%p9VbJ6MuCZoqHyHg28kDuIaa+Zg5%bg$aH&^NXKF}xp zS$_Dlv{0>;UAfMBBDQ9DQ5i}9LAkJBsP-$#JGmzEoBD`+n9>y?MaGEb3P5S;4$f)u zHX{A4vS7&szF0CJ^$cFm zs}5!qN8Tl(rsHlQ$(s9zLYQ!F-Tt_>l=nC^NI->v$8_dJw%AireliJ277oqK5FmP-98-nDZvXRmNe zddN{p3`2SQX=E;b-YRq}fW}71UIUKhv*8JvonqzlJSv?Ga5Jtf4hc5XKnvOv64ZEr zQxz@E5d*!0@NNy^)B03}JtSLiIch7kHfbXdB$0ynciIu;9S)G(`3u}}2%B8uc5Il zHmy*biD&Oqfj62dnlR_e#d;&OK9WX%b*O_k(?*vF2xlI zjnzZRmKk02Lmd{~iy{YK03RFXzM9k=(c!#s_^fZ{xK+6=V{e*wp$<&S?ih3+CR2S_ za7Z%I2P+Z%(~X*(>!JHL8D!TtO|hQRMlp-dKYrVmlGAwHY;cfm@?RTBbnW zi)GSD<)C4crITh`Nl5Yy#Ra?N>b^si8uQl58l+uaU<}5h>A0bvXt9+g{O@1;=j*UW zIN|HI|M6w+`w5w_bIm%m4cQEOM+}&g^s=R^N4w>B?lm+j%iB<`C|Fl2u5PI+{J- z#Pk2^@Om#}7oqa`&qTyKHj*;a2|W zj)-rj`b1Mo&tc(p#)%gHj6|>t-OCCV#xIt=xwuC5uJiW|`j5WzKONC3@3)@Kddc{g z@6+l0!|(fFzxMRtFz>@R^S?Uoicu&RiNmxN_t^i|Yv<2x_@ABAy>jx1(;=C075n#} zo1^nCj_UvDr(QIKO#ZX8nm^9P#AfGF5!~{B{`3F-a{we8gCcG}dQSR3`m}%0`2XzO z9*#Pyu>an}6+Z^h!ZTw$HC#@J?-<6eI8BauFMbF^Gv;_&*yv0)c#kei@Sxe>tlkDc zQ`Q!j_P{-wA-osYU$1a)kmS^5C{+OJU7T9}553j5bx!(cEvDDrisbA_mUtHr6+DwD-k}+2S$9Hg`Et7={E^Hcg>&0}nQ0i9oYl2D zn)E82ywJl0JbgK%ISHVm{|OZlZya7)xw_sTsw;Ibvuy`4W`YbGl+kaSML(TetpmcP z`IC3j=R0X$n+cO^99Yx4-3^nYG!?aN!TbdH{|w#4j((qloI(>+-_!koyR{4L+u5Hm z6r!h7{I}P{Jd9<0w*hz*L(C%Gq?vV4WJI3AIljV^9|#RL_*>>kguZWWa^@8QG ze3^SYqIR~=v%{J*<{>-@C8x(OemC*_kqK5yG;fbEfQpsu;SKwWVR>9oM8knu1%b2* zV2-f_9~x}3>b$m}opCpAPF}K~_*3bC&0}7^;MD*3zt4n3{E7;xU&(t=CrC_{N%(w_ zmtrzM?hQ0Jal%Z3(1Sw;@aTE6SD0ih`1;7iN~QD1Q}1J`_n-( zBx7^N@I&X693)goeIX#H0ZmP~=}}e~R6zD6yJ8pHwvX@xVc6QI}NUs$BRipDdg{2OL^KWoskf*k;+h~{x z2u!7)NsHiUy;iuM%Es!_{!o}ZR=0_a9$_&)2YTbLTT7k5qVh!SuiE<`u|Eb|R;6bN8m>Go+@1 zgQ)~yey4Ny+Eo`%Gfp9i+DS1v((!!_OP~s^ZBtKGd~8IlHFe5%5@lQG0>2>I~7!F46nN36d4@%J-DgMh}&)EEe;H zt$Z`fs1y~sQ)cx}xT9{D`s6j&X}f0$k586oXO)srx2aSFqY6qdHuBFHi0v~xU$nDz z(D;1048Lz_t$C}xapiDw=(HQeRyuB)Vquz~9kOty8bjSH=m(;eWhYLhJ1pkJW5gVp z9Uha!TQPaBxGildH}XrjfjN|IvHB|L@)_@AC}aPv-*Fap*|)sr{ul>%kwm zF#Y8j$K$=PQTi0N(QRt$cP;c6j>}3PCBbWm0U^S(#;TFR7w!I@KE&ze^$bb|X9rhw zJiPzTR{uk{y~vlEQ$8CuBRDXI9r5~!o{zmeUlCZ6H81+GOC|mk-x)(2`W$W+2T$1M z!)i10Ny1SA2NaT(hSq_~p(@|uKDddZ+53i!+?F1{L<%C5Al;q@hEgGipXHd{bnB+S z(9EgL%Izp4OGnh1`hz}rZ9EV2l8hU~M z=yJVR{7v!l7+jb0V9!Rpx^qIX6x}xS}KGt}=pxTAkET10=*__j5bR486;*R`&IyL=m?|{c; zQSZ1>KN~h?l*=1>dmsefjX8G5;trI+i60}WEH3u^11+{}b^rci?tK~ZwEcD8Z*%G^ zn<}{NS!Wtrvc6VktK!r1bE*lbC#XP-FWPGJ6&#$Efbk;g;=iAo-3(XS! zgg#n$T)usQ8kqD(lPOyaO^Ga%_KZ4~I7x1MEx$xvabNjsvqdOipi5@5%$qjOVlDUFL{nwxOf*EH75p7I|Z_O&Yx zJoXJ>%QJaR3T=W&z;cf*oz8HZL9ehrcfxbiaL5Gr)|;Q{3!wUTbMl{GLe7uq>g@8x*~f7?Q9HX(P4sdD{vE1Evin8SIcy!8f^mY` zdAj56#ZC9>uZ^nB4sg||9BZWp=PMoPIc^n73y>ee8hcLn)^)%>JsOy@c_#~$i}a+v z5qIBbZ_=grqhP4-vUBC@LG)Hv>$c)67N>hqnN)uWe|R~Qk37);`z`6(z85#Opp{mB z9qD#NlKxO8kezV^8oK#BZn8r`yy0 zwfZFbrViNdv5p?x4@OJs>MY;Ol_1-PgnkJi)<_oc3Y^QGc(uw)Jn9FT4u`+*VHH+Z z*)3_hnSb3|<4eZh$HJ}YwU`TCFq*XB4t9QgXg9}AJ(g8u;OuR0qkMV?V?wkd)>s;j zqfOqu;9)WeSdfzIed@6GiPMb$vJYsm{vPUVj1WeDFM>`LqgogC#ff>z+3T{X-=;Cy zG`U6#|KcR%fa_X5z&Lo#2CAg1pScpuO%ofV8HJnwRLj+WkvGF|P=Z09{n8FR5?-4z zvK5d4(F8ITCGP*2TaYVR$sNq8h~QQu4H4Q?(V_^h9}d)}&7iJtr5)zOowIwpNCZS+ z4jn=($U^M)Z?Ep2mr@Iu!|ug#(R^c3DL}I`vtlaC=)dNCsSlVfp)zE*f(ypv$(&TK`YJqmgvY|?QbRUG+rEI!w^!xVENN+Xl)h>B zQ$Q?^PdDjJ4w?Ts9H0WZsTr)%WW@7U|2&WcqvAJ-S}uVWZ!)w7l~A~AO?VW7GS{@ae#~xkx_eF*0j#up4W0a2uqE~JHD&)4sx?kt_0-;W zrCeAtw2M1%pV0;95G!4Bm+@-u1Ua;uhs|)I=*Qfixg!Yu3x~(3zXw(WKl0Z*uxaJ< z^#Qghb-2TgNbCr01`-usC*;t9$n-UyoK(%C=~D1T_I?>AtoQCltjE>K)oU&>w$H2S z)+sHY2zOKJcw(VLDEk{B zE3)THgefoXZGXJWvya^zt+uzc)+OFYpZCZs=JAD-X>j%C?|TwD3~AM0@HQ#~ZT&+Y zhYSc8mWJQKdK-fqI+Wi9=MW8S`FLa-MM8P@vHOKovMD>k$IM?H6w(7BgEWXfyH$YMl6d33*hxu5v0d)!7-Osoj61^(c|&Gz6vINEjMPlv|tJ1Q9l% z!vFDAOv>zxhd+^!7X7<#d3~>LAANev9og&8UcX#M@$78Tr8-|(tgLI}dr|Py_^qR_ zUVha}b!P+2k8Tg;lBTU9*^~Mm)&%j<*PsqFYh1@*cm9t1`#Xy-3zm3|_ssB{#Rhgn zPn)$De|tpZp&&)WhTc`#nwT160t?fFfz*EQK^TYvpNzi=6qeCHWR8&d>Ah)7bJ873 z2%|0jEPX`e3(U*1Bh58{Qy6RUsoQX8d3+<}qsV=G&MckR)Ev{ZPRrmy>|PwZle8mS z;z^n7-z_Zx!k?L9pbJCI5R54Rn)ulu^&dZrVkG6}1N3C=iDPxKS+uyo2b@B#yR48k za6;Qf_IO;etOu#$aSOjfy~|@Zmk`NoUxD;KF`Iotvi{LN3V znhW;EmQd@DIX{jPI_S3SVq|xD&{?z-!)gx3FOMQB+Ihb#^Ln1-Ew~$r0x-faX5g=_ zBya!TT`4}I@~~U6fFCY%!`{Fa(C0|hJ11p&vyZw!Uhc1J;oL|h5>{F0CF>+T0x;o~#x3-#=a5SwvS?WlK+fcESzy@z~Ju8&gUB1UUq|&qIRU zr-gOME~VwF=EpOH2sP>}FQJ-=7cKegfUJdoX7@H<;5bozd}ETPDE4qv8wX%7@HT;; zfm+bI)#vcByHO~ttGH`4pTR{wc{Yz7yh<*VvN+d%vv+vl*TglaFGdCW6jV=eZ!WP_ z3ruI#Hx&5uH_|cfjbpL&hlQiVCtZ`d;X)i$e^m7pww7p3u5&DQBO!(Z@GYx&?0T5B zo=^HsijKRofXs}ojzXaRoVdt+pFSdJ7*Um8wCrYZ2%*1@;EO{FKe69lxYg0_GPS?> z(BLIedSKrA?+Z;N=PS)piTV4Q z9C}JKOp7G$o?q;wQ_{^Xts+HmqXZvlhjw3TB}ZU8*H4&nl4K6G)HfGU>%Z*DBOnJp ziW|=C3ys+Y2Xv!Btwqr4_Ql_n)=-}`j98-fPqCNahExvXq015XE-$YiOtK`M9DCd* zo+b+r1@Ob5vp2zXxvV6wa@Htl?2aF$tvL?$_k6YmQsq#>6*(6lX_eK`Isa@L6_Klh z@0uGVLo}`MdWEliXMO~NrwAP8&?*wSk1k)|NAe-oTzY#u@YoMA*gQ$kA&*h^ryNz}NBiS}rBqc1c96Z%5yEeB zU^X={Um(%T?T#;xI#WJlAyORYJbe|XEwQJUo0-VUbyi686@E&{nxJWra!y{MlH0=@#jstiA?>8ph zylCK}!`0^-omr5HlClz*c0~zayQazKoio@ zmjiv9;=EYNBH4Hl{RTb#IV!?gcy}{%>nD3RcSHWI8=qoHl<>TmrTm0P9F`L7?SC0J z(hft`UsHfXYIYsh7ll)O7GxIME=!Z_Y}mWjWm=F!-U&HSGH=0A&S#bn!s4;@ob10x z!#gt4=fY0)yGv;FEqw1GgDb7v{XfS%1MKvoGg0$(U1kn;k-v32G8%%IZnUxJ}R=wl)TwrOjn8#a=SXc8lWg2 zD`C{XwtgEJSA8MLGhEjQh#)*WR%D#-Z#*I9&qKE_8=;_ceg5NtaV5=nN=e>GrkruU z=-|f{Q!v}+6M&?x`=QbjsOs^;T z-|@$IzF8S>xpnz5fuNG#$Y~7jYW}O{>^J1$d)JEPg=+qs>T;9- zj3Vh>3W8gC`cM)XEg{?br;&WeJi;0r5JD~!22nF&a;N^Ti!$j*xVYp~T_uKazLg%bebqqHZ&pQ!9qEP%B# z$2&>xlo<6;W4cJ0IG&U;Az7a5;?u*^UFI@Aid55)Kw8O8%<9%CU*Q-RkNjRA)UO&? zuhW9g0flXddrq&H@vJv(hP#HOp{$A^Tl&C>#0)D;kk_nA|9Y}p3gU6C_sUbEHcy#P z{v4m5<{N%gi$C2#*?VY&q`iJQIoqVEv$LSa+ELJImFT6-KQE5d> z6@ewJr2*bjz>A>X4gFUl+!J!|#Ug^=%tfv*0`@(ZJmWzXtMMR@7k@Aa58A}Qzd??Eo8*8r~G$f^UgciZMdwGSz2JwGC1jQdlf-}#`tac z8XLEi`^3)HkKE~dw!*x?(M9I%*S@^kUtLr?9l4_4+zts&xKpxW-)M3+0M6%47}|N4f1?CXty;t=INX$z}5oyN$z z59eM*P8y7;yM(Z2HgT8hliCH121xbQV729)OuMi>o}{u}{(PJ}R0`z^N;m0K_grA! zpbP_lC+ycqukH@+OnCWH#NDD$*%t+L1P!KCOW76eC@z#I8usLnVi(XG5pn5_ih1u5 zkOqiPc$d~<{*?Ohz~4>xY8dYR-K9-=JPhpP>GeU<9j#!f=YK?FP!Trt#+gUCrzbvg z3v7kYjpn+EMSc`(5zyxPHf2Ky&;QkL1aEQ!8l=S~+vEk6=_8jI`d3ZSI(>5Vop}+I z`A}(cb$b1N-#R`Ke16wZo}2%;#@xcVV4SkIC+`>iZ3>uGc?$Wj2)Ka+EMbnHThjGlaF#5kzHV9oQH(odwh-`Gp_UiQqv`kR%>@7?ZuiRJEfLDh{|{0uC%oJH;< zJAzD`Nwgrojz9Xn%${nHiiBSNHOm<+yKr-UVMUyB+$YA`Q)|j9vT$=#Sfncvn08S$*pxl~yU?6&tzBSnM@lUp&)_LPm0WNlAM-3iE) z09vln$%jzU@l5>dH_{iDTCj|=(9M-MG;yi^JRi+P(5!s4-yF_#3=-nv=|>08(|ShP zIFj2{J9Sp&o$vM_Jh9FF<8^NkJ`n%-dH>E4`|JP@`Uw`3YR|&i2S#RDzF)sGUPb4C zR0VFW;v5FOcE~p--aq!}iTI}SHXgU*^ZL1+qu)Pg{s*N&jHp+?TVvdU#^X|v0#dGh zP^Aoy_DzgT)kBGV`gr;n|1S1%{&`DX>&3} zeJfwhc}d^(>dt2bb7<9>3#H7Q6JHSD<9$gPT4P^tA-V^Y(w24?S>gLYC;`&fW%ZWc zRV@?v0$i;r15)eA@c6>ogGi>%;!5UsV?JDI{8T(L3_YAv!+Xos$0mVW%pN(2*9)0a z{Coz*kvcq~UDiee^oZpa^x;w@`}l=`c77D)1G7@PK>U0hL)gImiTL1%YJD)n{a24_ z>RWvEJZ=kR&r|REaHa)f0D9rmS^Q3W3!9x}@N(vvGu?>ov~j41o#u(mI{L=1BbDM> zMTAio?Mmz8Tuc}zASOLyIC0L)-4z?{v;OxMv+tET#duem;aud?u@74!Kge$snHH}YgUw&novF0VnB^oVrX{&elyn_91-08-qK6z^0E21PIB zr>n*+pTu=E{IFob2YX~BrDS9jE?A70!&Gx6nfoI3Pq7oX(J5i%@p}pXUKgbBEUS(T zlX2h5@FO$kmC)MJN@CVj+6x6qkFobQu$;r_8kGVAfYPj zw6uE!X3}>L55n@N4-db`J}gT?fB&>daqu9blYR^t_7S?Fu&-~MK(~vHyM17tiv_bd z4hQD{)j^%nL2U{M0uIbaGw)vW>tu0Mmk=)*qRiyxrsp~n8C89HheG+qx z_BZw-rwVEwHK(e(J3o9y!XE{8OpH8tH-D<-(~!zIC#(0!!h9Y+9vZsK5Rz2JyF+sM2^0ROc9Fj zk=*tY_LjfRsDFojgio9puP74aXBz=ScGCkM6^tV*T$mbfde6SNLh!bHB74pA*8Hv$ zf^8wDdHIjhU&qX6I2-|0{a$1J9-8(R6f}Tvu!J;l;O;_vET)ginM^6oan)ZYJMyEm zA=$CA=GXOxzM^rtHe(xGQol{hr4PQBM7zd#vu!jH2}iSY5#p10Q;PtraRc4>=33?S zKzs(1R7IL9%&D5bUY~*iiWfrkQ3Zvt`4zOP8*StE4mH%TL|jJNbcb5IG*g` zdHM}pD9fDC{R$a%sv4-}Z>-z<=lAWuRGOrr)%N-qK+)h8OYmH{lyUeV1%7HMnHC>M zWv)KIfyAwEzM)Ga+Ad?gpEHZ;>pkuP`bDuTX8qP@$!-KTcg^j2(TUKG-_BBj)m%=W z?Z(S5t(rNfRKKq`eQ#yZV#EA)Mj!6@(H0z;+U7`S-ye$nXZ6E9choS=huin0JYzC% z&sBP8d}6l9w|$wzGbi=u^v6m(7goDd>Q_i9Ao1I)V+r;E%rg@ADlFUV57(ap2-@si z>it!0BW|6V=%4Ol7a77L)1-V&qem1rEP0TWkvv~~s769O38P=I$8{|JSR`Mw0BEcY zPs2Sy@mETHibi)fguUBwoUk5;D$ebefWE_t`Sbl_>m+urlb0P&Wkoy{@2~MHC5^)h z#*kh0ypPZdKU{IvUWnx4rqFVyPW`ERN_bs5`!D9&GDk$A)oqv0WyUq2ImCPn9fC^x92>QKRC9{P;D$ zv2xqBx{{SZHka|wcFN&vTVT~=j^x>N7+L=Od_dcaL}YQ={5V*}z+2c_I4tO;UjA|x z{o#A2&WH21Yj&bi-Kuh#n9n_KeW^U|4;@ebXef6hpWX}%L5?wEUS4B}K|97m&Zby8 zg9lK*BgR*ZX@BiujM}N;`)(ce&s97fx1Herux6A1!=YK0xd>@xbS`-VQ*AV0otZoH zyMc>)O*t@56+n)!2e~|KDNk}3L980Zh`T;Z82-R(CteElFwTbldS_29@yGxoz!~W* zJ)Ibk0>VN(Z~4l7a@qKKCsP(L`eUY2pt?8ZVX-32cC8ZVE0NK8D$t_0cq}$3j)&O{ z&H8vyT&^av0B^O;c&rZ|88zBOp`F4VueY% z7VDWt?)MDO6)vRs2Eh1@9*Cs&Q|x1Z*zUi|@%Y#|<-Gs-FP3E176~Kvd=(u*5jt03 z$(MXQOP~tSK27R>UR1a+F9&*0Nf&%;@5huy5{dqy2t^`B2F*S)C z5eua?DXm$$kVKCwj{_Ds*1O{9S|o$wrN6Jv5A&`dxh~6-K1m>u15&gZe)TX0Y*t1a zFtK~tN59ID!Ay8v+hYv^Yi9$&pb~z9bGCkd8eNY35B7A<%)&e5i1#P2zLQvR)g*O0 zFuZ86pkV`}hv^&gkdLvuoJiLGXJ>N5sr`K4+d|Hx6>h)f7`mYmoJ;a?3w94}QLv!$j z8Q$}=Y%iQ6l3`v#Im&h(b;H=JcJWnHqy8EU51XHIC5D$bs&vUc#kHS$)YoaiNZ0)A zB13d_p+vbW`1|`o^c8X_{HMCnS}D$9eBGOQc8(?qfY4~-l?B%w8fbEr!Z)g@cXuZ* zj(sp2u+ya<;k*&Y^q5KOTT*1-P1a(~BhC-Gf%rKHVKoG~PoLDS4#u#A3@I^+2_QnW z02Bw`f_ZW-b5Q9L)GRLln=Oj0&T*Ty$^t;(@&5Yo;ZZuYLf80qx+5l<{0(MBE$*rQD=boJkov6(o`euyHnj4!Nu7-wwGi-Sfvd5SMm~wM<-tC(0MTm>(!x zw-51~UisyAI6kEKej;8To@VbnKZk?#Q=IL>Sbn@nN9LY+jUc)Nt@9)%wZ`)RwI3-9 zv?_6;x@A6AY-$~dulc&eN7QR`h*;&{Sxi_Rv(AxA(25dv00jqp6H0^UXnh2^SVFhY zXq7^IdQPm&x-JwM*z8%b@F~_e=AVvy(E$kH+-n$Td{c9PZ%Z8coLZcvPP9Y zJ(v8_$B%nn*gA0Mm)#BfH2!ulq-yskj!bA32zzcq$|6W^em*> zzxFGS8UjSIQ^BHoapjL#IN5o}8x#J$!jmh)h8mq7CX7?V$t^lOJ6H@WkA?zj0I`te?QIuI z!GCw@?vLL;Pi284{AOT5B-*;XUIO*vpK1^2>Nsj#aIF5iDLObuzSj5o6*m=(68DEc z|ECM%keV>k0$=KpDC2o(YUgO~ns_;0zb$qH4pB{p79_5mK(>Bq=uhH;8^~v z59uBi`i}$aKBS`Z&zvqq6BMV8Q)Z6Y9_D%@#-8ct!dg3Z>= zj_HjV`2`3=4BBw$;)#FUx_OXbF98QH@Zfp%{-RQpXc3E=fYR`cK+RK%;_Vv z%_uAXXP;L7IX=FXhyQT8{y+C?|9{+%{imPdUhua0m%eaq6aU_mh6MzL-*J2m|5x2$ zybJ%2o$UYdGqv2K=Yu9ikpfz~f_pXuqt8U+Og!$t4)#MM`g6i;Oyl(5T(ke_r)|lI zh>v`GJt;@pq_c*DA_bn8lH3XL;7-hz{j(p+^}{!uz>L5tO3d>T>PHUsv(C(3!YtXp zBp5aM`TIxbIF;f#e_?IApBh-1PwZ)`ywd}V@8?V{$ylD_OYnL_9}C*et21)wW7#@w zzOj&=d3TN}yZ~=bWU>GU{r|HQyqq-XCxAxrl}8Zrp07-<6>iZf@gT zo;z(MW$RjS6N7gzV4+If+SvAnxaHLOoqg z_y>Oroy{ewndCF#EX2Y}t=}nO57t~OaqH`g98Guh-igLm0to&asY+;#op8gvU`RcD zqu&k8M(o~-G5$#YeI-|N@>`~&)BPp z78aW2z0S;-{rYGr>S7)j_KNeAQbq$SHh=Fv-yT|X60dnX<;QPIUQ+BA4FS74BmKiG3&0Bxq zc2d{Tj^a(Zur%>wTZRzN=!F-4kv0y*{j-^%#o-6x8=SbideRQ-nP!*{gt517ASvEo z(-q|Yf6j>uU?+H6e8Ts@eojJ!@%57ldrmgyguZNTETl|87CaP7 zcVoze*Qc&PZY?L^EYs&z1ZuM^Snea9BVT1@tj?lY_skOJGMe0Vq)zgI;B#jM5#2tM z>1qrv?d$YRkFL+Z;aYeFpKVADk}bhq*uQvx;QPN^o`c%vRY|cCms>at0qzWO@=|vE z!7Yn`1DsWZ-oCIf8p7s$-M`)*EvE!o{+(=aY5T!Tnm+Ak^YcF;10>LS|A^Pnc#LGq zlE~cD8-r9sTfwvX|8T|D>StALa>&ND*Nopn33Tc15`a=+azT0HfR22b9>b{c3ni$T*YY)!U-D(o{a7tdg8oVY z5VoKfrIXWFsG`XGwd6WP+FPJqzDyTF=+D@^2bo{ke7k$p(uZY#JXn(=O&CFAIg4KF z=mxV+lo{Fud_H3oeRIITmNVlQKctYKz#v(f?zk<|<>u7yIKO$+W4MwLCy4@kpv=D1 zuk*EqthNb0n7xtUHviLiM#^}WORaLJJE48xDRw~zF) zRixD>#|zv3a0FLx(0yNQX|`S5@dEh+Omx355ehYr{`Jr@P(zouKZCo9_3>|gwIEKpj$(vs$LS6iz(y*pHpJ2gRaq*1OO5}5O zKvjs;P#Bf@)9gCXvob+kyL)d-{Lk)*vbx(h{qHz5f7!wsYZ!pk+5EeaL~}watuLpJ zR@=W$UTokAHRF;O!r-|t5k&LByx0G|2{EQgk@)k=I5$Ne0+ev zzWw1HW)kW3KL_;<{tK){AkB<-V&rHRyqV=5cld z?sGEskrHg|jN%W{;T6;1t|y#%pV2DWyP9T5KAbcEe|_XC!RueXuwFn}?PiQ8XVtxAT*zJ?7cqL-!1-5kF;J1e44Sa#pYr#Lj!zcgf+Bg=}j*BSd!03HrZw@wcnGiE@Et` z#GpdMnSc~*>++8gdm{ZP40{L9T?g<^>K31sDZ_-p>dtKA9(Vpx;`q3wi@*><#`yRU z{yJJ?>wsr`+Vb|m$g-TDCorcb68%oh(fqE-&Q@RA13UMS0KQ#8eX>ysh4YSz_jiRA zcAv|BA->+c0Rb}eAN?)A&?*1IJ0mL*fyXV4ND;~y@5j0~pNP*4E21Z!Y+^GmpHZ(- z2jyGye2N?`bkhObY58CNn&uw;TimV1n7vimJ>EQU9M}r%qVqtbLv5%MNK=F|h|Tfg zGsGydp@>319!yLLBPIL(%@NI>NoZ$C`AM7&JlTK z(%g>N*mdDl3TikSjjDcJwD^?J_C>ZEoSo!WDbiLl{l8^ zZwUjl=0R>2nBI7VtLJGtMh(H>J>~&@JMhOtJ-D225DL^ClPqyyBau7fZSLvgqkryS zmlB^ZPV*4Um-oUx|2{g2MnS+wyp$t;PYBTz68;@hIWuNJQsHn9mjL)$L>Sf)Z+Mu!j)7xKnm=FA)FSNZw@b8g@XGvQqqU-uucox_NocUvZAz@Z8=# zQKx{W+`cQ>PlBH&K;di@nf{GY<>k1iN;4&CSfb0*uhEqwMv9aOf07G&{j>$cFP=4N zWY=!F_r*RLKYeHk5e`__sfIWnHkH}Irf^0szpD8!0??G=Arj%9*svTZk6jf5l1ctf zkb|e~V>)D!)45r36`SxfzYaBnd71}y)#i=5a8II5D@pZ!{Vn<(g~-_CAn|Nx+){DFaTarXU!XUn z0y==zK>r0rz26*1*ws3RNFKMd3!tD?Z1o0ekCr$wSHS|u@CWg_!BRg zDYcP0_16_<#{+clkeZ^#ygHrs<;0rk%bq~hrEu?r?3u1^nrIn>dqFfvQyy6J)QUxR zh>E?-nVA9UQeTE`q|k!`@$KtM6CHQiqwut;RkNW|#Gbx)$5cR)S0RYL zTxlCuvLlqU_&FQf0ojLal`)fzZZ6fkPvKrI31-9c)vvA=&=2nwe>b)kA;|J3MQZZW zK}3z{OzKp)Gzt3UTcc9X_LKu}3wpeNXT=TagiN4c;yJPU(by#Cq}$k58AUmJU2|RW zyY0WLj#MK2H`bFNAzoGKocV<4Ua^sO zExZB&yrW&%IYo;+DDLo8l(CegNm3dsM%L<5$|q)^3>^!?9pyI)5>q zGfK=g0qCfP##?u0$KCQo+YR}h>9DCUwZqE{qp$r19z0JIi=CR z{T55|Q9N604N8j)*N^e|eK?sB@r=HW^{)|s0vVJqbxE%76fI_U+5ru?%lF=DUMA<- zU_OBr^k%t_Z6;UW4Cg(^(krOwu737$A^+_p%Sv4r++bk-t~2)-C4^?YDwA1YvbB9}PgJFAz`9 z`gHBIEiD1_WuWN-m%DkR0M;hA!d!SYgDY za}XK7w8Z`A$40#4ro6e?lKjlK@6V0KSD8#10cJ6LN46@T4!ld5Uv{>DuEA`Fz%y$L zt<8g;g+PUw{dv2j$x|!1u6p3fBb0m|QUCZrZc$SXh32Y~Htv<`%z461exJoGm=5A2 z=)hlJ3;;(?`QxSj4)-p3@E2ja8ANza!8ybNj?y|ev&$#VJi^QREG@wt>X)K-Lc9bA z=PkvoEMF5-yZyZD04ceR8VTO`)I$C9T5=o7Qk{_(xUG+SkoNHr+|9a`%gN85u3*r# zJUu-x5o9=!1fH`nCEB`T-=sN^jU?i!j%BNAQsU)0{C%$2hxs8VbFjX_onsF>t3B@DTDFqUyYw{S%5r}<@y1S<^c!DGgs}>5`LR|cMVJ-fc}|{f z)@}@;P9TTXT;<4@~Bv{`Hzu+|L0BMee*D5riGRqn~(%XAoae((i*;;~Cy$ zzQFMO-lB3Eo%vf{MD83H>6aAQDRZ2uo~dyVQQ|y@Nw!Zn6#pwKJi;Bm8}5Isfs1(e z_5_vR5BLnLlmDr@D8=X93g+kof2;b~`zlJ?&eS;1p0u&vHjTN-E>8w2%sk}u4qiHM znZ7!SP|lqqH}&x6MrIRU1Sub%0qJTJ7QiY+8y(5YFE5{W#2cEnDW6hPkKHvm$w<6Ft*ShY-EJDwk73F5TEUZ7-43TYzW>b|AbAiln{#nQO29lM@kTF{-haV#idsDKHIeHJ zsNDzE>XsEPKNjH;%G~Qo2)xyGySKFw(>let=O1OF&?_an;vlWhw~KWLJN-2S7OtBj zaVm**qx`ys`8fV$Z-I}FnB<9nix2C$YH}%jQsZ)<4}@)qEdKobjil<~*G-ao;rn`4 zY7<;jCJpd*!z?Gd(N9@5#o{fp7TKE#O`9_4n{X5{)*o|VgA%JVg**Bc=LU@$%m}WR z@qp2U^R54-jeCUeqo*J&LjNJq%BQ zH5y%`fgoM}gecy5NiW}w)fnyk&Hen!8K`eFn?GDHx6_*D+;lrMR8*kH_P>m8rN;crMB!H{&+_<^kBu!-<*+D^n^C&`+`|;*Cjqi+mD`Tvm*WuzYaj zxE#&B0GYCxQ;zN0ZSu+MKj5s^ z)BvYhc_ELtC=_Jr79Q2lPD1+**%okT8=%I^8F{SKXj%GUYit$c($mdNWwUqh$`xA_I8|f@teKn2D z`zfAuVxo43zS4<6qF1|N+%tZzZG%O%^>rrvQqu-+9NT zaUbo`lBvDuf~PnQ>JF|6JD(wkxh;?Ia6F5f$NI{W8y-l)#P6?Pq_YP?kqG#BEiz zfMb&-?GCH(FJblE-qrD7VAg-o;9X%$rm`fk*4fv~{u6#*LbvgqFWljjQCyMxNy~rNFv7bJFNvi&Z#fM=B7e#mi;}8#O zw?405@$Tiv#P#Mr##(>R%6`dSw(z$A7E<{Y{Q?Q|*c(#mZ<0O?g<1d51skiuI@RYi zJwApTnzSeReEQ_+g;a+kD!rD-Z;JX{)h9A4a!OU-jdY5yhORdzEB> zST;ji?ZSuL$A6AvnbMjK1Mb7;Q)+!8R=##Wvh$<(oIHV&KOJrT5L#!uq!~zt)D-U? z_sx`;A$zrJ_LXcj;8U+jdF@|t)!&3`aNpsK;Pee-dvH%YkEq5EH|*Ynfh3O*se>-Y zZRhD`qY{J7P)v5D#PH7he( zc%0asjKsNhDs|8gJb;7DTcArwXit#GE(j5T6IYU1hyfkZk`b_vW`qT^6VZB6ivg0( z=7G|Wa)3g%UB(9OuA1}kC@%SZWE**M#(Mk^gS6UB$qco9-3pAD@Tv*eIn1BaqeC2P z^10juqzkW6yIfuv22s)dqKAuVy)ogciJ8DT7L#`rjNg(8hLCc^!V6wtcvrH%_*>{M zX*x1)|DL|iEt~fTJk%E}TDGvm;2N+X-eBwteBwQgR{402@~41n4G~paFa|ilY{u8e z$NSL@C1UHnQr_|Jk z7yLp(9pFl4G)3=S`u+H9#mhXXUO#>A&)}B>f+4PeQB3-D`*2&vkl{_8UI!rE>@Z0V zt*dfG)UK2AZtHs?ey6j9SMb$m{C)K`&Nq1~0om^4k4JcOI>dyIn|LRxiiiXZ%g2m{ zdy=NEBR`%mIN1WQeGU&mKO9ieH?2s4@awAsI0V0RG{@;>rf|ue65m)G+%tBH4SHjH zLt%x-f#ve_DxN7rf4#^?den%-fpI63uMeP zrg`#R4@Wyz0-ae&$3kwc=X((VHbsh`v z<2^ty=6wvw!VD;57ubT0m=gw8mQ>r!o98qogZS=Mr~F&;U!o)lT3&qed#(l|8Q^Z5 zrb1@#!A-B!GXkB9BuCt&`r{8yV+^Y#;A`mA5+2|mPSasecr@(x+_%N*#wc&_QwK*#KUDW}hGlsWAnnLEtTFj>3OyT5hjOZp<;FI=bNwz)Uv z3Af=VAW<`InYTcqKQZouLVR5Mq|X>3ul{=PvUjbGD>w%R*eg5Z?>U@s?L!zXp>EXW zOg%|d7jm;bP4DfG4}4e9PCbCo;soSo5(ZWoCx=6hJL9F1nEPDBb9=$Yw2;!`K6`8} zBkC9^5WW`(RomGML4qRj1^-35pN}?BTUJUEqzy3J_2=u>t)IY=sAw>wcLic0@K1uF znxMVCdm)Hh0qJ}PU#51!ebFz0OF=~OyxOfqY#U!aew4v4K= zOw7X@V~!f|u|MzJov0<-9(5zO`3%ZAl^oQY!-f8=SeYSTkcoIMYj&VgfEuL9 zdj0=&zM&fDcGuS%U4QzO-E#t2AJnEUsTQT^9jymS0ACx3p#+vNoC21rX#G38=SP z_wy0*h|lSJ0}=W^?29ybsGyIQd99sH$u0tAzKUDKgt`05r$izQ3{@om+zKtYh>D|L z(0LrX_mAXROD7>lKbm_#vB56ee>wNuzjtc5V}c;H-DT)c@g0T!5-F2>$k3{|XM#{rfIP zw7v2$bfWPHlV;o5~Y#Djge`l_3d9^R-D!F7>s_dOr{vh{I-7r&l;6na9fKXP0 z)v^UOV#eIJq?f$yY zb1p02cGLOyT@OdJ*!yZLX+dD$h$`#zFZR+r)<2Mg_*&xPV6>#$%K=>SIAyQl>!-3o z!CUf$2{B@%?KP|MsI8w@j9n!p%Z0A5AhNv==-&j6UTi$)ef!3Vp7afSSmngc111h? zFu|_-@^No_d!HkzOYzS6Tz>|N(S+)Df!#eV`XZdcYuU35rqpWA=2;be!acs;_EqOL z(vg@C56mDhjfu8uj7?F?U;7vPG)ezHkkJ>*{-4b3(1G+G_h9Mcc3U>kntrJYOW5^s z5S8&EDdXMSD&GJmW9*V2oBZ>7{-KQw@9WO*FGUPZ4dNSQ*aUz&vCI4g@kX{TeEF7s zI~$m~%moJ;()%TP15|B3m4Jfzx~sdPP~ndk$utg#K29Q21xY`V8y~)g9i>RDr&c;BPXx|}Pw}=Sc|FDAq%V6qzYq*?` z=NvVH>!{(q(|vsk8k1xS;>x=Hli@q#+Qnx9^Hvbrf4SO-UZ;zm?F^0{<{8}r?__|S zAM@gHu{{VkbZ1l|$t zmn7fT*@v!p`x#I>FfmLpr@FSQ2ZaP+Z2P{#vORa+PyA6Q4`nVrvYL)dmeVEAC_8TG56OoH!-o49Eri(~b~+7Rod@Iq0|rxmsy-I?o!V1eOV<9KPV0!n zj9fgkhS*Qs9y!!}OBUUt3)Jz*{c!IwX$~V&x||NSNcD zl5EL4TAaE(oBs0Dg=cb!U?utJO6%XM;I%C&aI9;MQ}(^JcT=iAq29Q+4gS|J@h7a+ zs!w*+LOj-jcWWXB>G9DJ9BwDZx0NT08xbZK=q2$ahUP7CbhRK3K`g~-s-CE>bOr#B zV>fl#ARwkpYF@;6`T%O%ILHo?&#}Ria&}&Njf8LPi(XB`rto8bM-a#&OKXoF|&0Mz8 z;0>R9I8k0F{&ldcTX(MkLQFJhdUva7W^QoZ7WaI7nEL*@%DeTQ46SkWRn&&Y-$*Ni z70uK34H20ARb=Gd|32FQr4u-#D>9?Zr{#=%7|fv_>bp2d_NXSmm0VEoI{owh?LzYx z){XrWi1PA|JVJ6fWV81D>q6rWOf=E?d%dtoCw+h#7h?Js#Lsho-McPQ*`M^u-*6TA zQKjer`vF(bt=J*-fPGF7gjB9u;St^fu2?KkG_`{799K4jW2Ejr8epO|sl7N|CJ-=1 z)7{mfAmhjoyza;ksi#mPdFrBn+<(yU-)S=~*O{2YN76daQ<7qTr#!JUu6+JHTM;Td zbTW#VA#=y2N(ApKf^ck=9Q`3U8qOO+YjmN3lWM z&_(z(>eF-PKT!$$`dLj%L*ux(d~DKH=KJ#`d_tSM?OQy6A1g6{hDUGL_eIX$iAOG{ zxoSVt{A8|=7n$*D$D5K2RWzBjnb5v9!J6<`kk{>v33jLxaz9fH!WUvjZ$l>Qd$#%S zX=8T>+qi(~m^vjY>sy5m*{fNA?_jR4i0nPefFbAG%bY<1(4@Kc@AH=|Hv(2+?35Qo#pLE466OAD zUmU7^%hw!Q?;nBY4arzisGNoVry&j79w=>>=D;C`XFnMi(U6{-wQpbI2CrZ#4{yNlSE96qtp+uy16vb z{Q;flYQacnHyCLIfeF&og4HgM6H8Tc_zFKnd%f**^gQmD z9FH-}dJcwK$cgs`E#Jyt;(B$q82Y0s&u@&SjV~Y=Ape4=k5xt$QLDS&z3B5B9qN|* z&KvcqH3zNE-F$1Yd@TMt)a9j?yAsDOZJIa7_BbMaOeFOr2;k6m-Zhw0h@b3&y92H& ze;yJUHfKkjyqIxDNoW0VWaN^i?Ra3MSa0ZO%YGAI&(qToK2PO%!{b5zp&;KC zOH(4s6rajlOD=kQ*<6wSdsO94vwE#1z+T*L142v|&h?v6v4MfSNzh0c6pOG7QGiH( z&%<$=OvW174ZD9Uu$gmkBe)hJmiw2`h%jBZ1)Eibg(P=@aP0NVWaShi^$UIvlym_W z>Ri=$k6dd=V#LbX8fNrVO|%r$RCk)y$+b9cuxx*wN^b~sC~{kh1m$J_aJ zd$j9$U#MrDDR*?aEx_Hs4>Ewk;#F`cJ8l{^1T3Z_p_MraDt+p&!&3gJ%#xhPsoB{(bL~wSy^ia zYpAh}F*%hUp|Aw2vVy3dLNsJ34ReImK zC^;R%hDZ2ex<67EgayHRk?{{aHt;E$?y+!WrArf+>T-8ntLx6glOkWNCA>81wAk>>-U`;v~Ob2oTi_ztcL{$`_I>a zqN2I$U~u@_@N@pYcKhdRT4%~5=cO*Dwn)xx!W_u@(aPnPZXft47q z!{Kr|ovzobW9?te&cpfr@Sm@#SL8*5#w{%hfF}I;|9oB5cCZ3M!t(F;(LdUyE}d^) z-Zo+QpYMIhcQ+Ii<$u2yzW<{EUDzM~`+d-ZhH5t|P54>!fBy|W{*Y?dFAUcI^XC+} zdjr8M=vz_>=YRg4e}8ZG*Y%M9{(kk#zpvLxEA~EAhcv<45j;|odOqND(CyE!4rU3=%8C6BwK){Z!m2@G z2|F_yov+dw-S%(j)h=?+bDdSxYzn&(Cx?oOakd-251p%Hs=qFZ5Mw_RVWbM`=}x}?_d z-4;K~|MxY&oS=Rpe@P-CRlt1HFPC6Z*#`rbD~S8xGRE7Orex^#iqVT9K@hi0ADw=C zQqJEwVX;xf#l3&tING`X&wGX~jz)#V0Y9apJW(6+N4LX6*|Bf>tpNZ_2i}Lf9FF2c zKkR0(;86t?M|e9#Ax56;v9>WX%ocJ4_*te$4;bR(|9q|250wC|y~GHt==(uK#0#c5GP8I20-Sqv%j8;4`#$C!sN+P z+T@8#%D>l?oeeca_H)mj?S2wk8q*wni86@>|@Nipu#TfNiSA>PV29^iG$d`tyZE$w~kDmkFV9oek5K6Bs ztz-mA#};2cpj#N`Pvo7>HZKGI$MyT+)s+OQ_B zQCE_Rrz$I^2SEFL3o0%CM%#sM`3uroAxoH4!xT&sWf9&3~?o z4jEmx>5VS?4gzEpp)e^UT0NCWPqZCc@EYg8_l3VpHELNqy@%qOF{~rkF@19h`k+<* z2C3nE>zYa;(u*&tGRD^Cy50!EP=zaHpcz;krTQjFm2N$)NSxOXkajQ-RE+i!!54P6 z-c8>u%35zuTB-SEJxP#hd;^=Hmw5y;X}jC6%-D1y52W{>C=jP<3;RK9ZZWlb)FS@> zr7n=g?4g+p#T#kJ=+W^bvXWl)JU`dy)xlzU=lv3lF~eT5>mHeyA+uT{bVqn@SFXFK zJA$^Ci}hLf4H63XGo}+w$)fs@Rr}5xP1=`0nN}y1o76t3`@^Hv534dK;mjF(<$Z6q zatF3mc^4BHQtU#g9+(|CHIBFfyvMxmDg_8}C3Vu${#$vM7%3i{9UirIorEIOuthqe z^``Pp+uV4yjS^7VN?e0A23JlzMD_$k?}fVIeN>$+JgUP znN1BTI6EPfaN6J0!}5Zyjp6Y*=!*KHg8e&om$`Ke@ODI%I0g&u_5T`O!FQ)0>G_fLKlOzBv5!ug04 zS3iHAs!!yg=N})8&x9R-OYNEOzm$*$rj4GOE%D2@Vf_&>@fK#T-oyQN=}YE54m5&W zb1*{H`<6c9KqE%?;iV^jkCIzCmY!&tB^BKiFc%eIZe+1|s zsdY%^PYNv0oE+v zViu?NiCp7){h%@~-%spwkH?T(IcJ0xPOefJEtXd$;=~!fJvUUbN_O{k2+yYhFDL zMWYA9b9ZtcU}%H*XHXAtpHMJss4GNbZk>OdYOG4&SH8HnHiyPo{qjf**>Tt=Ue;fQLbXN?1$|J?4^S_ zxF;X+F_0-gG39mr+MR!fC~yB5w&&|r(<a zG_@Z-;qR&vbA=Q)<%;(m7BhiB>l)^{v-cRm{J7n0kzL`X=#0&r`{|1JJfX;Tf%m+; z?S|(+@A-ftu4mk@d~MamR}LWa~=_B_%g4mg{4=8t@I2 z@d)zN??tszPfCiz;a4}PwhpdZ(Wn?((bw(6ReNx5N`#%hE|%CJFDS)ErjRP&tmQ_V zDE1T2%*fN(BSiCB{>PLMaSG1FU}T6^PG_^Sy`B{Z3XX;iX!Oe$e659h555q%B;O^h-B{4>e zCB`YhXYZ?hQp-I{gb1*EZoRq=4G zdGuyEIvj=Z+~;eq((s+{6D!ZdosFnr(nzFmv^B?j;W1sW=3Ry~6OsJ+^h^#D_=_TW zX|Yw^^?r;t5%Dr4m$`xQenCiU9T>4@bM5o~Md>Hs9W(+(S9FFvOs=sQHA==fRTqN_ zRh!uM4d`_fB*?ABnHcANyb;6O=`Nn4h|lr4gNXo-&BF6Q$Yf>(&ygdFggHCj(b-RH zQ|4wUmR-sx;@9T4Y7#7LXm#|BBA(@GLllg5) z4MfM3?eUMa_X_frI1qf&J4~w@m zne(?M@Mo>JX3Z7_GRs-K`?GB%9!!Sv*ikaRGkR~Scf$CC9#=9N$ZrhFz?o1UnX3(9 zid>313sT<+I#5B!&+j4-_c!#*?(6NkTOTe9-&TzotWj>_^KIBIlX7sZWXzK`z*a2W0*=kRp-gGdkb%~8UKd;?vh6v zR}fQhoR3jUN4;-L?a<%m#|FE0^S*G)|fOPM8tf+i@lGNfrdHm8;w2f-n$9M$Sg5fh!y<)abM5(Wu5i@yED$e zeKfAZDq4I_)PDQHvq!^fcwB6pSMFnsJMS_jAjdRgfb01C3;TlOKU?m4Ii7{mYmwgL z+h+rg^G!eDb5~g1*-H|_VD}%Wexo~8=gQJ-z_MuzV95hcyu*UL3o3G@46 z6==eO>btx}i8)ul#repE{}^!25eBE%#p|~RoPjHB3@_~Aj*YqdJ|YwQknIHm-?nmy zgFRjBicN3)7WLlsuEoq7hrXsgVx8Rs&qLnj%-(fgKpS(g6kebmxLG^V1peX1w?Sj%z2fm>=3RInjpgdf%m? zDRf6rsE*NHLH6j`pCR&*Gt5ZSsgzmdSgIc~wBzCPc$f(Y-{W7lZcW&TsFV4;YtHCk zL#320kCnjOjYjo5Up|C(&PA9QMNZw*kaT{uBc(rry`wsCMF{CrCHCHZF6Adt5F5O1`2R>XX(1WoS%8-g|q zl%m(};V7vKzjF>*bLZKIn6sNtg3wWWE2EXp&njEHxQ(O-PPCoSDMR)SfY_)X%CmFA zVjuT7eqk{_e#f5vgO{1$$X{){J2V+R3X>Y`iRT3AXi?Y=4G7JOl`x6M_S1RdP98FE zmRt!YJkD%NcF34?XP`sYbtf*pAcRGoA7_=hpUQyiAmdSuo9&pR7 zbJz-iAiV-Nl|Rg-05*y_Xe;7o-!u0F-7ZE?HwKHeF2WPSA3WnA&u&8`d6AH5fZT!F zs7kD%VTp_ADu@+##Zd!!jcLOr26Q9#@Z%W_v(hGDGh1l6`Y_=PQ#eX?*5F1#bYfIA z2Jn*0bmHstV1CQ3`kAr|7Dl_hpj@DV+PV*>m$R8`uj7-wPbcxdt>Gzwx7%F=KG)xB z&IuLe=ZgW;Is9xx-=*K9dRX=CdZI`0-I>SjFnF_T1k=116?1aKO(UvH6*=JXb|})z z-0@2tQlz>#yKqDq<#t2p^&I!2Q9IPP#|~x0O!aYq0(JOLMK1+NLa+x>@RJh)Sr7jw zcl@m#T{GjjWB$>pM!d++*NO@aB4xKbyR&T1CTtz_6`DFX^BE68yxeqZ-hu1ejf&|( zHi*42xR2dSN{ea}Z!IR!Lyw2YcvrWd`~SG-$kf^{Q80-BSIoDFKK2@1g-yq8G_$ui6Rx!Xj?2*EdRD z0S>okzrj^?^aPbkd$wkAnqrJOV+s$QOlR`N^VRPWM`R7Wc9PE*7#;7yJi zq=8o{Z9;qNmAlrKSm>u4b!~CuT=HbRSi--n&ACcWqeKA^1?S-I9VtBmaWO zcle1#!1B<@Wqx}DCGIP6BBD5;ejfu^_VPAxELeDg!4Z1F-ij}ua(lRyh}odlJ$SL9 z64KE=7Wcp8avnzlyO{}ZL@%dPt z?&)o&fV2s)mwh0|sLYJ;TZrtQI z3ZeWr(6$V-5Aq9HGk?9h^R>3}QG>mM*SB=BS~BfkyN1%l!-u#T zTJshb0#l?oFX z*&oD!z8k6oBoLqu5Hnf^OvE~~jdP7Qz0J|cbI7}DPH~c-bh4v%l$TMlc2f}!YK102 z6~>)aaM0C=5dU^GJ?^>3{f}JnXDV2zo9k%(#WK%lSa`_&zF2+&;`-G?b-=RRp8z8- zc7L70!;Z7~skk=+6z3cd36g(rPoH~L+}m$IU+q`oToJ*j z_YI(bSeTxlg^7z!7~k>gVbNx}YMX!vYiGA8$ah}})x;eJ$$|5F&LPisgcCV7+u0A- zW}O=$kCJ>%gVx(`r%>L|RlhvKL@;S$;8yh69>Up~*^&I-qv4ZgN#CA#IzAK1p?%`3 z2|IWSS#k-bg z$9iGK>b?m=E6)Wvr1u2dJtSXoHW?pE^7J4@Ly%cyvUxPBCYoTQ>MFimAxg_yeqRv# z?Y~V&n*|4`p`}m~xawQ4#Br>^gkWQE(#K)CUQAb7{w*8VxQv-@) zcn73_2Ik6-wZ_k{>U@jRV(ea+|CH&CyVTcvr>_SYVhu=)OZvcBmrLDTU&r3uRz_YdK@uvL?44K7^BJ3tmz5v7*j#$Le;IgUh z-W!bS!y{TSUVmMtIf9jPb++3fI>s!%alEjkZfk+`u!k}A@)h5*^r)e`#eQ%Ea^UN`1D4MoD{>_i(@U}z$PpImE) z3A4Bw6S;=%-GwdQ&cZ%&uFWh`0dmPcRc`;w^vCWMI>@OF9&KoJU+8-BkUtB zV?F-NE#qqAakj#+QQJ4Dc-~r0evN@|uHYcBI~n&@2y#P!YI(>zJOqIPEpCz7Chw~! z!^pRq#A#%&lI=W+%U3fI+;_X1lF^!oX3NDCZz4wL>zxBfHqFtPx+%~wkj8RJqPkoA zUIwV}X%K`y2Eu*>50er3_vwLI9NOeGQKJ+{oiN0v*2EsG?9Sr=nz;@m9SlWX`>1|b zlJXL=$MtRg7~+EJnP?EQbLS$aPgY?@oP9UeR-afypd6hwEWR(D!fra^#skjLOeaN{ zpqj6275d;&FyAT?-!)y2sr9#X^TSpZslN9`$v5 z!J0SC?r5gNg{kasH9*P;Xh*GGN4|dlGSA}t&umYszxB@Gs;gY%J|Q%HVpeg3a%m&z zFtaAiJr;WUGpcn9?y2KpuJ-%JUYw`t)FwUYcl;zEMDqPg3H6$73*I@kx>HW>f?8|t zQ;ocFSPlyg$ z4$dO=bI;1e-$7;GvB!ZqD&QDr*|3w4te9V@mRs1l@|(PDm$R?pV7Bz5*mEz1G^}-y zw7h>!K7(;Qqv&Pm;C14rU!u*1_KTzAUMA{&L_B4RM6*WhK~yVa7E_l9@9RHcU?D=YXik0{FuHim=^@ zI%Uk9GO*i?R2fYZk`!PrK7lU8ho85i2QZ@Dma~0uMW;`njIO*#(IWwA^mc*!F}pr? zC-}5!*|I5-OAcX_eCO?RO<-Yu-D^>aGbz0%uTD`F2dU@tmxy8qGxPiz_~tWzmdief zS@}$W>NNtD=_x0y8i)fvCYK#9%NIzg8a29K=Dn{;-2Sw?rybRd*p$_MIBDeTSTRC2 zeB?G8A0>#auz#`oL-sH4yDB9`?uE#>QI;@_leos#>JoI5Q6PL2Kd#hFn8}+md%f>* zqE2i+Q}}tIZGtfw{y)6|P(8-7UQr&7#3PdX!x36XKB@K|QI&q^q`_$$(<60Bf7C^l zEKrBRk^TGaW_@O-R$jvFMMsqwr{K(iEQLH=fSyq1>d}eRK=j1Is<%;$@-VN%JDUxW zXrc8F2Z+7f2q#obz!@lURn*Y_0(aE~`y-im@2A@Ye#oKnK%8UJW&SisC*GwmzNX3h zzvPSYp6)>uA=N)Kf1j(AnUW;<2$Ck3)r8g^BwJO2MlJw2pMxBV;sJm{*Fn=3)~c`s zw3&%#3=J<=x=zMJ)dEN$WD3(0b)Ut!Yl3YNKV&>?w)&JB;p=A7l1!|<;-H@?J%(Xt zwMX)Tr5Rjf%i~;^30VD>8rj9~9kzhW2o3s-4fJFJPH&hD5oDd?U|#H5u>@JirPD-% z=$he5;{nX*4a{?Vn?2t4OiUI&uf>R~@E_VucuT?cofHu2{;(Trkv;1{%Y{^di)qpmA^zwXV~De&I!|2c#-~HbTgW$8b5h{qUqC6PqZ_fBQFZlSqB9pxd65MpO$#Bp8PoCh`%u{#%pT<~uQhqJ6o1`hd7lt=z|r_U}M{|W4vXDuD@hmY5EJB;<-+k};dws1o`c;uMMpPW z%)n3j*zDttMQkl{=r2(*N-F1AkYnfzN%byZ{I8aafTkYE88>@`C^3mcJnIr;Pxr-Z zHSQ%UN}|e8lNO)70E!3jLm;MtqQz+$1;~q=T4ql$uV#&umiM6BtZLpdAbTl}VqQdAnpZ_{%?^KwANZVtDR{c2YAn@ywe z+*t(sGWhHcO;M(44b9Y8#mC?E91Fyie83#ue9J2r3lF5Ii19PDg>XKTu#S$CYrHBW zBDO7wxbSQn{DK)XTl?@;3OPxrwzWB#9er<686`x?s+0Ys7`f+??y#9xAaH($Y`s)i zpZRVi{rjfI@j&DKUDg%$5X*ad%a7T|eROE;34^Z#0ePzbB!+{ltaZM~B;#KOAWh+% zlv1AFXPiNPQ;IL>w}Z+ICmk*O(r*X3|0+O&Ic5IRzkN5m$Hy7cp1dptfA_m1L2?S- z`zg@K1LghQL5tk9f5%s2AK>_sHFUumY0vML*j&Goj@5Zj84JF?z91c7M%^QVf@S1! zk@LVUFEI2v>T%(&@W{aU^O6%WRw>zruALyN>G)4pCcicMx%l(IJm(sqOGIW0J7_+W zxLAM1%*6P6q`jH3U9k=H(|KF&IEYNA{q?!~S;r3tH&lMZom%B^T_{1k>{DYXgOO7{ zqWhPL!#VTsNO{vgV9&knC&)~XFZOs)6@<2wx(xpv<0$@SWhq+9rH6P}Qp@=C<$LQ# z*#ts#YdJiA-4$)BOISJkdeickU{c31IHfPNj&M1|_Y5t6-nVe`F29M#|J%8ckApzE z=1XlkTWwW-jWMZv8(P_pQ@Mr45~Fibj|!i3HRLM^(8Ezq0S6QA`(mC}aWngeQ>P$YO`v$;?FM3)sJnHUt$}W4{4q>b~ zXyNVnrZF2@9zY>^_UoOAG70H=eE_VQI4|wNLSB#ivNybpCKzVOExaJ=+9ruv)R6+Q z%a~f@?|hWaB!67boh0})_aeUXzKE(hAdrA#Vy+7>SdLr}re+o|L>EY{d(&_Y}HNy_z;VL{$TJ2QKrBY}igyJPCro z!ryqi&nVY`qQAwT?wpRY64>tI|0<+L=)eKd`i#VU0pIA^u3J5 z_qoOAZhhn21{JTxKFbLD;hwt%HX1pf?eahhISz6}?B9evZU8eAV~odVRDYfkCPoOX`Doq9m)XQ5w9szb(w$^pZ2;IoWbkcstr5 z7oWFZL z5ub^Ze@c|EhNvf=(sfuKw&VZ`e!|!ok|O-WRVlT`*x-?+e|jhS z|8!9X|BgLOjB7=|62~5`m0fpt1-}Ee`!&INtAIiohCkOa5X#^CAO?<{fyFJwe#TW1 z7zt5xFp$F@-ji{qKN3bIN$~Xk>8bSp*2UN#?Q=u_-@eIyr+5weZl~|RvfON*ukVWq z4mZ*Nt0U5U4o|jCvitw;K^)F=U;>wy-t-*^#tNeQ|C8NEndDR#D3koF6Y_Zg=JBu0 z@-8+^U_4IFD zgz5j~&u#}t7ysS0{ja~{e|9Hydyj0&HBAs29cJGAymFdBgmw~o_$R@%TMtKE*m z3gOup7aEh^uPk4#dYze%^cyditI(qZo1VqPBSbZcQV5?qeYwsjX`Z-9%2&ZW^`Czy zHb5FI_;>1eF82YiMUSW2m(|JmCx0%?m+_9wBKk47*+vKO4c+i~ZvXw~c0eHfKmJbB zP5CSQ=*WQlf4xRbffgVR5yyYa-5*Z6ZT;Kt)8x{5hh(V#{I~vtivQ^Fl^)%{Izr8G zc)la^U$6D|mQdGfd$<45O#;;I?>b5SpZ8IIhv%oJgU6Tuw_eEo{P*UH{`GpFc5d?D zy$%oxKW0!W)MWG|Z>w+Br|kCHAAmNK)bkN#n;VV@5W=jBKe3`< zJ~}rC7x@uevs(Zpge$vp1F#fg%o@R%4VNJm1^8=qR0LwfUGA_yW}hWn{WEZ9vn$%p z_f+nk?pzD(O}FJF6f0H{MnSA*o1cI-(e6HJb*c(eB!!rl!$JRK3Ut1 zJ=lu`D>fa>f%O zunpDia?+XI6@$59>^mT0W||Pq$dOaoUG^DLkvroPssliaoV*az`?!Jg)wSvRwpQ_& zDmd8W&-A$5JGFH3uh@JX2VW${0n;vjd{3XdCrMY1-+0OAiX=bzj^e$VGpG3p^;JCmfOUQM^DhKsipIbfE|*z@l5vjK)^cbVnB*O*mx z55LMpli+TEs#Oxfeve#i{TcJEnLO5ghK#9oi{dY|U;(0O>UR@OXyf)`a30d?? z?Dv%Y2sKXErB^Zbs3#6Q7p{tM{=>5siMJhH!hrXF-VO3WQ}uzs@w0Ojp~V<>`ZcqNXH z&tSkDWs*Iz`Q#IG_{rQe-4&@U3;^-bU{{oDn2s*)u56Rjjp^8~F#?)H`zj!RtNe%( z5QE4~!;!270iDbeDFuB1z=k1Usm+~CKNEAnOByx4LB2()Ei?&jV3^yj^m z<2b#ttRU}K_VF4Gj=*e5g3W~|vmci}o73q?jrP;Rph`cQ^;Y4JT2q5-ptSUAl@Wa^ z_1IE6pbO;2AgS!;C=~`f=$NzPKKp&{f=qytmQB+I(qY^CbzKly-x=^5zTolxSn=FM zz;R#l3~3iGd2frUdsohRV)?xxufsjJhKxeKFWEESnUC^VCr8h9HRRpCU(dc-)_+Pa%@5C zTrz(~4KDHLvHK@CT`=OSH50jjR~XC(ArF|9J2HzQxhQgn+o%Fn=v3MioJo+~|9VtGNpS`^gc zL-?C6am%`7o%qf%^k>He);F>PTnJh!HJmoLPZuFY_4nuP3^;D2{)$cK9bqh;wsEJk zWkNOO$)+IV%bH`g)DtZ~@lFAJ%xRqpYbZ4WFR=iIi6Y-Xo*^&dw2$ikEzJ|>g^l$y zjl(M^hH#{U?J|g2@*;%_$AY%N5pKeBI}DdmT~5|W5*&7goV+3Dbo>%wk!rhFBPMAp zVmXi2e>q*Cf(Pholn*%{?8jI0EL*AGd1UHez7wUECYYvr{!mef2 zqB>$bbne5O>@$zG0B_u{7-_ODE|tZ*D{BmD%Kf}!>QJL_F#*G>i{to8Z?Vxww9Sgp~rJx|+K)o3TL^d_%v`iS1Dw z#3u4tFP`+6#>ckKKsTG~Lx?4n|I)e_bllSYb=foPT$o4Tk8mM$sLtn;F;19#AuHM$ zv%v}3S1v~2?wt7%=O1e6&SQvO;+G zkJX2~NNM)Xv2G$(76Z)wRc?X*{VCZAlj^CfdL*{j3dJicEqclWThUe8D;K z<$l&$F%eB14t=mh(3u2f@mFk%}ZQF`#wl|sVc5`%v%&!y6%(rDUXohSSdwu9x7uWboOHC)F6R1utcqbHU}j) z{T=;zraL8m-iuWDwBFs4Okgf|(!P#x62JKva^d8aq$H$8D!i81b+^lFcZ_=RdkH4a zPh=m_it*C!&ob~;pH{QhNgj-sw$)ema?zc)*nZPFl%EAL;7lf6VNvK&p4+8+YQStj z%4i@jWnK35&>)=D_y6jXENDyIxju7a>TLhSM}$q`#e+Zk$Zx0K zKV!$H3c}Kjj~pXMalr!W_+#z1^VA19aTU{P5LDg>8>T`+s1E40+`s?TYcT}pB*&Lm zSPIAcokYV{-$%b=ggAhyz7tPULYxg3IOCiKGm0aVT|H=O)+RO2Pl`2;w)_)|gI?OZ zk9_7^m4d}AJhB>ojY$l#>yF&_s5IkD;wq{!q)Z#}z_%^Jz?Lqlp-EfND9rq@?V9txjL_jW@pgflL7CR6MG10%ULKTzbAteY5)ou{g%8j2 zD(&(G+y!)d)qr{wT{JJP_S$>66xA_C3%c~NJD3)sYv)jghlyc=`bS zwD7GJc$m%i)?CIN0{AdW!^)SRJN-SQ%KKR2sl9<6BL48xPT#JQ0sY7WAYK(+OZkpr zYvT)&R(eygeJv&YwamWI%&KDd=AYVtO^LADBCQ|y{+9>Kb*jR{1WkBI2eO;3k^FC+&>63$0 zDz?0}I^_LS7?WyE@8QVf(}sPj?1Bcq><9a?W9+s*8nE}+Pw1W|&GiEB>Y)y09vI(D zdW!87ULhjid7N9D8+sTau04m<_GFc8_HIq+&~c2GXS%;|zr!kL)fnUxKM&j1fqR`_ z9!yM$$uV$*rBZkfsUqd^$}W7e#b12ebF4D#zB6G(Xtzi0qYJX$pYzAgmA0v438-(j z(%11^*-5kG_Lt$QETIX)uUZSx$UwvY1&(V2eBXfQT4zJ+5blcPD z5l-weYriHf7hmTZj`L}cPVIRRoWg9a+IqYoq3fcfhL2>gi9QqPlJfgP$-T<5^!aSF z3os6UT1KlFYmsMr3rT`W8zoJD=tSvsW66(XjX>n^M34|-nJ|YT09~**9`aXqFUkU^ zbKWbyF=bW&$d^-S$`wH$bG zr5BCe97YCK)o`B>o42}b5XQ~MEHMm9xHyt3t(a~_}9cKIwHK7Xq!Ecca%%LvLB zTy-sU-0l6}%v(60Q86GaA3Ttjk=IHw*|4a~Z%jCD=b`e9>gbQ^2wwdZmHgc;hh+eW zb~-LyR6Wh;_sYV{^iW`w=3qu$&g3wjpMvi`NJHg=dyF|9^3}o!Cnbt8R%bc^-fIL09^NF2!8?n41Ft2J>^q5cWHQDD=jCo>WQ|lwnh)gZk)`neZ!C zIXN^KVbTF@rB)ougnPC}?{b5qa?j(X?8VCB>f-IB39}8GuAv zNt7LdmUWAVoJ0~hPAa;7+*Tx6^F8O_DKf|3-UvXlROx5VzGN{n?fFrmtXkvm+|8os z0*FepuZIV~T0-6t2`wHhlB+4rxL9r+m1~3CK=bMV8jDVjf9EvY`TaJhn#EGTW^jQldPWcOfD{8eVu!Fp7Q;C&@07a< zgBad|EAP&;SR-3Z4ERe>HH8%Qg5KuPb$FFbkqnS7H{17%*KeA@Q>kt{6dx)YhIr2Y zJ4>cmJm-gWvjthLRKnk%7Rxq^ml;ui9LBN@xmjm3e>1k|$w!A9%2V?V{oePAF!Y($cpneryMm zq@kkMTiH;ud1owutyQx$ZMhP6GdgLmkl?}P-;eF*8DA#$*2!E+9E(wO2_2r? z_?n;Q-7>zbh0OquBi!HvoeJ4FN1Pjk=OkUgJR?9j6yN?T5KY{W3ibxowaHycHIW*U z&F}eS4)5Z;Gpk-cZ2SI!_qcU1kD+1d`3c}%sqAGHBTaAaThfjpopCFt_|e;`!_08) zkRUpPDdb|BWSy^W=;A57BYs2ilrfKR=7cBfMd)Wbvy-ncIA*0Js#D6$%FRA~n8exA+aPh{c(Vwa63e?LQAQ6Cd_7i0C*OQ$ks z`6K-esnuO=A_R5L-y^b|yxV@6&&QnV3ySlAkcF0|!(6wc+wE|Mz+M|c!M(SvqKG@$UAnVga-Be}V4=Omy&~~knOFCBULsHV1Iq>LLxp?oxaak#MmO*d2;FqT zcT-NajvROt(7yb$8$m7&duyf#G+1|xJT}Q77cXfE;fF=qzN^BMhz@R594EOW%O7af zst>l+iLc(j>BmfsXK#2!N6k6-rmT{SeGQYfPEd;~3iy?Ke1_QqnVRF{AZ z6jtBKelK6>TQOU^)e=S5n9m(L067}H!`Rr>`Ghhp*HNcnx=^AtQP*eB<|DcrOr8DR z%cK^cr~6feVq7;LIMIDsaZy=$`E-}x-#iVq00$Y8ZjvUUgcDIdVizKTdkk02Wen(o zRRQ}X_x%-B>`M-uAMHJ5tryY@P}c+RJ_#?h&p`1*OV>_k4?!#2WOROg2AWGI1g*!l z&R2*dXK!C&{e??76!W+%K; zVJBj=9!~qt%w~K}Kz|orCGulynqsW_$Hu$srG#3_^9daJrhbX9s7@HqZ@mrp3FFO5 zaof{0*#taTO=U((D0;R&7FkMfv1Ia4cAfG|WutK(hi{C-`?`b$Bx0i}SlkHC4J-E{P+I%jnr_L;k#~A3Za+KU2IqkS>$C7+ z5q@t*iuUusoF#F5@=5V{2?cMgsN^+dVLwinv+k0p;+aY(yK7`irCo84$EMZomcaQAKbnF2 z3NoL)OXl=`eCS8Rn)tO7oEY#b|GVaw=tW*NQ& z=(RTZ2^FJl%fem7*>W286s`K5m)9PAKTMHBp&=8H`V|O{yHaHcP%56VODo0pFaz6( zLNL(opVhbh?YpRVO9avVTQ2~97rqAc#h16953>PTk_O(V;XKzg@f$ot4@IdDircX> zU+~p(QVgb-Ub&5UU)j_5(drDdaDCdeMBFA1VbHfiiOYhU>P!?&;xz)bo(Xt|Xv zQo13dq(pIg(clTn2J2|JEY>6q?~i3mjre*iKWstt-OD2g)}}^GNvBc=Kv|rw)D4IH zxFjvHNv;aMpSk2I&Mx`b5CG<`N^M-$I6Us@m*R!xyA!^;7H+|cK{nm2gU?IB*O1=7 zB)(wWwKppf+7_na@EWK~+c$!R{)0>UL!mJ;a8gKEa_4f`6^)=I$utu6#t_jj8rjl` zv#Tb*JC1J1<^yYM@+5$- z8Lt{gdTiwHs7vS>YIn?y&|qIrna337qfjQ%V<+Xo3^DVWdmV|mYL$)mON@JkV| z192R5i$Vr0QE_9q_*vREPcMt5tJWNe58rm!omrX>IVlS(gr>^|H0M}e&T8>18TaqOX4<#WL6WlAz>K?cu!xjH8 zD=F+kd*0xgB3B+}dTwGzVEph6iYHV7mr%c_1V(19h8fI6|1m{QD8mP-Yr-LDkFdh9|YFOaxO)myF!(fLqWTd#Yf)Vos7u z0IT|o56Z)AHdVMK->sbJ*P)<9@h&K-jW07Ms!2N-s_O!P}G;Xn`ihz-3KKS6Ar_P&gWk&gK-ebet=lnA)Ev&Q^Qc=_;5HO;cr``|Bj@>yoT zbG_*VO~i@$ey@+d|+yY36YNe7O?a?0htA(wGu~W8z65!7 zP@qg9vF#d_2;!=>$|KnSyKRXUcQKbyt zopdM@u}{RHRmB2^D;mp);HD9)7@Z%U(X3CYAEg>o5mc|7&Fi<^ar5Vk`|{Dvg$Si@ zvgZVBP#ie>W#NCn8MPVImp=O8sX4KeZpZNCV~VG;9qdpfveK@zyN@2H&w?M&CmP97~ButZNF%dGGV`lNIYoj*En=Yqo4{XV_`IX(z>9JwUK2M$ zSR_Fy5<4Fre8Pb4Sc4?5S1cG#+n)L^N*u`t5x%~*ma*3ZGsgdq0d1i616BiW)Ckix<9@;pCts7RwLM@1nH{tcQ#_R`&V(^{`9` z#~?Y<3)x9nkem>W$RBl7aCy=7@e}I7?*Vr}{ZrK>F5Imr$8U2I&X^Mok9(XNT6-Jb zC=zm(kzG}^Y#pRSrdCBfluW+T3#^0ZdH57FF_H*-|AhD_<3-3@v+g*=ljY_~e(_y; zch6U0B43D-joP&!0Wow3F`!z{pym&K+wHWGCq8H-o8sHTk=|P6TXUx_S6fr=mwL6Z zDG#dd5O$}&?RhnqI%aR?2z$Qr-R=HRo{!T|&GE^3wP1ZJj^MWqKHr-vgjINIv6L4-Y3h{9};(LmG8 zgbz~>xnWN48BwB4hr`U)jPuHVL4#$^84$ee`R6?!I4i;33e3#wB3-Uom>Asa_4!>3 zM!x4<1TjWR=7v2W=5!ar^^5^)i6$QK4)99Fm;u4woLmmQOg@qtrQ;H%W59v_c6r99 z_{6pcc$j{3ojyZW-{A2aq-sMrpx(er&-pWfy!7@T(sO!k`JcdNTi~$UNYvwrLmJbU zjC29#h+W7?(U(=T_aPwewO9QDsIg?`2`RzEK{nUn{g}RoJ=@41DcHQ_<*AfPQh>s1 zi>3fIj7O6UZB3{&&lwM$kyi&^mP4V>$8fzFmjRE87 z74M-jUN=BCnl zzyBUd3+1*{A<8$~UX7ol4))&Ob-RG*uJj8#M=1ZI{FqDV2d<+L9+<0YHno3|65^)H ztzThRU#^Y!2{cYVQ3qT9Vuh^Dm+$nl+PukO{=uQusU7wO(9Z#j7*5N+j@AVIDNc+TX>5HOcR{ayoA{0*FKF8{S zPq7sP3ISj?yQ-xPYS2}_hS%SjIILm!wA;@sBvb%|xlK+#x(Hpu@h>MLvMfSou5-D= ztMxNKV8?_Yo+qa@BoVIsQ-NYgI_~N)1z>DnylLMe`-8dNq?hq>i}HEJKX2>0K^&&^W_Jva1F{C? z=|NDh1Y1XY@N{orcEYan?o}vxHl2OU+TZ927V%3Yr9GDVV?MC&kTu{he2`9S;cECP z;$~@v#4eRz2kG;^gtsL#5e_>cbM$-v`E@^}A8JVrN~Xy&+9XCHGInj9mF~nUpeu_Y z8J6n>yWjEhRqVk5ehq@U_5$r*^B5aA{r zZn?P_?%hB<+!0Lk8vjz7zEavz>8U+!ietAg$_aP&xsZ4EFtciy7P}KK&Z&gW6wvS_ z{EK@;8t}Q*>DLE`J#)N=Rhoe;H~%my4cJ~W!*J7p)acq>)SmC^iL}q`5jlfB43zV& zeX;i0F{xyx=v3SQ zvCjCN1JvD5a(YNu`Hql(;8DGE@)chZM$Q>HV7vl3@Yq9A;sbGs%cq8oXQ3Bhk+azK!ejT`EQv zaF8@iKJT!m`Fn8;W|d7wFE>Y=>7^y>~Q)`jK5zl@IQI z0oD2}@8mB_{HzaQ-XU%#*9i@Qr2}RY%s+X2c&5Ji1@^)LW3b^#z2l*CY3EK&Fut%)uqi7K=sG8t+?fvH`lUA5S_NVoa*fMbVry$*!bg1<-j) z5Hlh6F`9QXCEDKd5dJ`qyl9A?OpZ7uVB%46$8!R_Cha{&5ilSymv@#;eLi0$+z^Vm z-(DEAOM+TG`|^Qt$&bYp>UJ>tz>W3(a}SAN!NxM5anx#6EIzn}xhBTz_(2N*CINei z4um0o=;(Yv6o!rjJuDmp+sXv<2|>9Z)yDi2ZFJcsV|oR!O&EpvodOozRh9E&7KtE# z^kr~J!Jrc?7$69^ip(Nk7LZG5Ewa4GWbn2FO^JDYv9`;0k^XYdDgZlm;FSF2v2N zVyKk#^6O-8>c~u))?UQ$PBta^epQa^bZZel@5-KH35#Qgnbdv?>HHP}eje!Xh7C1Mi>Jn!-=vKEX!RET?mC~>2aXSrJDSu*p8w%< zY<@n+I7xqwN2ynT?#9XZxf`Faq(>*P!{V1DjrFhY_`bRr%6mk8_gm41Jy-w&j~%#D zwvV083o{oeLeBGeL#=Y6v4}>NE!&EdrzHm zIRrjne61dJx&pU?IRPO_$ACP(81=t<+SlpcGyRHjBvz+1^tAr{QkmQm6v8BcZ`Hr~ z>E}~BON<5HPZ*@9YWJH}I&g`hw)k*v|LkwCF4!RN)1uqQ?fx@h=ID-svr!J1n(EKT zj|ubVPS|2cSf9}ylry}Zv}gA>A10O*;84Y-%~QdRd2v09wES=bOfFWxLw_T{)5aAP zzxjmm2tG_%mw2iF=$~)f8y_Cf5WRdWI|3H)Rh)qGq_K272yQ+zuP@w&A^eTr;nxM1 zqaB9#Jp?_vJkR}G<;?njc=X`s_Tx9%)cC=FX`@frscdTrNrk9USWL21=oF}Iyb%)q zC}NUk#9g-#s6XhE6Q{t_PGIff1ABS@<@kiEk)Z@1IClYps3Eig0JHG#K@hS%!10&% z_CUuP{()EInAFc87>C|ZA2@SAP9%w*k66e+ZJTZr8)xQkoCNhUTia5QpQrNy=b3Ze zCE>a(b_OUNOq*0Rmb1Xc-_M}I)4*=!UunLj-b?)3D)DLXKb?};kX+x(ODypqUD(ft z5J~OJ{@xF3d+za?UmrSIF5&mR`~0J;Fa6C6YM+D)2P*A7lpXQ=PhLP<|JCvTZY^^0 z%KC(*YN1n)fy^+-`mqr@`JNoWT~HLMTwd79FvLxa?@axNt8gES>}mXAF`PQOZ2zzr zW;1DtfAJfNsZsxM7q}Ovd{wCAx8Gyr*1un;KHoit0nf&;TN?CK_w3X>2EQiUqB-^& z6Oeej{YiITk+J{Fhx)&KtDkP5%sn1F|9_T-^}Q%Yhw|rN{DT|3AqzMl|8}eXxC($# zXb86a7b62lv3Ss%XNSqiza5c3@2mn$|G$6DUOCF6p{)sMasTss{P)-1&o6t2UF6^X zO~4nfQKmPF`?o*qfAJq~|HXeu{}=z^=Oi5ZoxOpy{P2B*Z_u8QV?!~%Rit-=_{z2C zm3BdoOW1&uYX~2x_x5*xcX*Z@ScDP)rn0i-5G!-%WFs3OSc5_k`3zRIIdfefBDgN% z$cZ0phxJ5C&)q0)*UKxoE_!Yk8a;3BkbtJ`UP%Jlf`NzdQx|>g(_S0bhN*l~Quzsr z%tsyur_m)YnZKwcQKJe^ayOC8l2@9nIDIrS?k@i6JEkhnms6Hn9)qlR#t19Bgb=i! ztox&^2%Hl*(|hX9B6~S5X_-+W1J~pOduq?ml_({6yq+dl_SGG<#@?6&NIb)|iWTPB zQQ8&Fg>v&z-wJEx$4gIT*&Y z<`_o2$ztvwrfh^v=MR9sv?{Ywo#}BQ_9XiG4lJ7&e{Wj+q?>#WfA6Eris9}XJA&$T z6_()S16DGLT!0cBXAe^Lb1s6x_^Ner!kn=r;lc_slo)mlKIg_Kbw?i}@3nRkDek#5 zKS{lH7w#nC&X1Ihi>IPOFdNx(m+|{(c8&c$S|*JdmE$*Q1x2IFR_TCnvc+$}&}(NY+p>b7=R&%i+s6e*6+qi8a^vU~_2Bs&Q|=bT5Q>a?NXqc~yw=0Yh;%jozBH+QmL z74)^3y#~MTCiU6fJq0ln28U8SUtdJle+!bY9SrPzl{@?2#h#IpK~V}F1%nRN+BgY5 zZbi=kPw)q3%(w5)$+j80fhh5yC7q?5yU#byUZ1ScP|IvZ*VqJycMkhg4_`c8;9^KD zVj8!%Gg(Hwf7{SzW`jEhILqhj>bGs+5G}Il>xCBRk5AAZ2I@PmD8%j3a+m1}Avar|HHb?pWNQkMg{O4TJ{ci! zx`VsDLr9Oyo>_`Z@%>7VQzN&jPDG3#9Ep1?e}!?cdkOBD+Od(V;1DyKEJ2j9Nray^ zpm|7KaXMPpjm9OG-7b21;+WidU?Rv~Z}0I9*A=D)==bSfgXOf{0zOw-8o;?}SLqYl z&CNF&II>t6{)Z1gZ8kV`Irj%Cq`+d>r~u+~RlSdqU(pspTsj0kIm|d-Nd{jwTRy&9 zv6D_`OEytLLz{$+;GLG!K7A_Z^4JcjeZMFT`kBrE*&j+HtvulL-XR;rbHED2V+bP> zIkb4ax^_#sGqR&{27%IwKT7!;FDbu2lyr^_zm8ZVu?%h%R)E@5V!!!a82u47+~Nxt zC+sKqa!U{M#EOho(cD3M*xd{dXp8}e)VnFgMi?n-tNYQKOZQ+rm!nPluQfL=^!MPr z7i|3a^8Vo;n_`EAX{;-L<$H4-g#1}sI<3d7bZ7+{+zhxgcY^ZCAUw!?V-Q~uM1q=J zR+!^r9pN30FW2RzV!QA!vJ`B^jZ4Ds3u{#oGqY|%r_r$Qd8}1R-Uj%?37Qr78 zw+I*zmnE|EzAN9}JylPgLoHr&>u7E@{O-4U?N$><8@DBQlI$vx)ktjl1dReg^ELkL zuf_a&!l$?PT2Cow*%i3G18%ys88-*XpN;Cod^E2G_qeax1ECdBpuP{2=n!w5-w>4_ z?fz!cpQlp|{qY+xcYK-cD^4ECyr2$;0UwRhHBbQ**A#?B>W{R{!OGyZ@{z^8C2Su$ zT*&LL{Te~jxy%^b17MC`rnrkx>=PxXmIypyVNb4|^qswx`s~s0y^6mUH}B@%R*|T- zK>}K?{)1l# zH*xSg#$s_A`X=xa21`e*3)v|2c!^fYXaYg##t24nrc~SWXIFp{2w|FV&}UJYUJt(X zr`0HotW=ev$N8iN8>{+S^2?qz9mB8{zssmJ;G(Ru50Q@LX=eRbneL)941cZLba zr>m1(^9t9rW9JIksa+@R4||T6w#VgZ+~m+L9uG480%R$Hnf;)<9H^x?Q=YkAE6yQs z3?Y#4O)M<)dC5|>UGi$8ECkB0;4_C!(GnWy=&d(zW6kQ;6Bn%|`KDYSHXm^ZW)Y4i z*4koCGt&iIdfm!G~MX&L2hzIgSZ@%Y=$Zs}% z*+TCrN98ew)@>{`hQZ|*eHYNrO{2V3_t?|v@`S*z-8mUtZ zBC7ysya~Y;T3RIbt&_2IxPI=JTIH=9imW3ed#5nGIzC=ua`0b;XYs? znoLnU^i;Mx%H`(LfdeKVI*LoLN`@U9A3J>z*9~f>%jGa#*6JgDZ`*D|Wa!GpLg~KA zmD6S@cHx>e!@Rpre#e;)w}&ygpT?744#;j=)^&G(QBZlr++=6XQ6$cr6wC}7m8yrj z5k8TK6dc*v3-DPwNUPh#JoH!p&DXVPhJ4K21obsYl%8p}&C=C_x{cuJeUf}3PlK#n zRTkfP`5vd#YN_ll>9h2-IN{0_*5fJ?g%z~rjJPHoP!|RRr`E-AW&TFLY$>m!ZbO2y zc0KOuy;PE|*UDEsk2+s@JkckZ&h3eOD#!GA#AzN5ZS!qrF>raq{mzitGkos0@jj`K z$_6|?(|WU8MF(oS)xd%Ho_TZ*1$;d5kb&e1)*50VW_92^metvBSOSBNdUQjmOcud= z04}g#H?>DPhXxv4^OF%hTNSNAoz*>~M+<0e3~Gz*Y$-q1FXVluk0*}1^w(MFyORpUs$P#XAAqqS*J4lxcelF!jc!k#0mN9fGdIiFGXA)5pJV77kpRD zM?MWeBgI2TCPy=pe2DS18F86}gL2o+q?A|yJL09W@LdoW8pDs|tCFPktfHJzpqFu_ zE0F1is;s3QDPx@^(cVqje5lfx^UrtetsT^~ilWdwZbi41yu7wzA~`*^a)*{WJi+L+ zH|QMP&=W{44$-TDX`DO1syLED8vb#7(kBQ(&Jdv6FF(xI>l0@4uq*HytH=7Y^C{x> z)b?5SWKl#@i~FTK#bunyOoiEu?~D=Jo}L1>aSQJ4W(;7$?O&@OI!3Cu`(;lr9R9b^?V5ZAZrQ&G`p9ys7t>}MXN(Z)C)66+p> zQA%T~4HpyZ9_NYHp31x~qJRGjzDLD;TIxh=G&1fqW+}BXX0$bV&;q5FQ{ZxK^Qe z=Z-)HAE00%mlu4Kpzc{_cE<}Q6wL4f*anAH>4|ZWPQrSWTF(Oqw-Npp2schSy^Fe}e`C7vE-w{+s9vj6FEcvtw)@-3 zL*k6>-_V9^_x7Keo#Ju4d-x{Q!S$Fo$J6{RL&anr4&DXh)Tv7sHZ^VbPj}wD#xozh zp4)2Q<4pN66nwSMa~(dI%_3xyHaT#nT_n`u+~j$EXMDBLtwRs;nD5Qt#@X3Uq1CDYu{_>W=(_y@_qREF6}LvQSQ6U zH}hv)WniPtbG>`HU!1od-qu1mDvieTduO|T0*i{OEjKo#c1ETQ&k@>lN{VFNv>WY{% zWyc@}6&|HtJw#g*kyg&=TFq66*V>20J_(tw3f!GU?`h3l_He||H@JE_H&_LBi9jks z0U2;NE$2hp$sx%@ifeUONq4@MbSs_-U6BWR4U(j_4rafxmhwYKtQdO7Fq&8`M<_F~sy4`Vvj?;yJeT zV#YFPI@E17dgaGTNR{PI;-yly=4TWw141)n**&o z8O2)ehN1$*y`1M)JorSud2->{AR3F|ftN>J2yDdAwD!@M=`}(Q$exnsaL*%jap81k za$inqZZ~k+j}kxf9b=tEx3RhMCeHH)+}tr6bR6x+?sj$5ZKss15a|;jMYt8}wHkQ` z00aVU?KzG~nEv%n*q`vE94?#6 zdbHCWrX(CpQk86m4x~G5$%KrR&a=s}C2xl@oe%bjo}ziKU`|~ToafO*xO>$h$^%Ko z6Bgh7!V`9LmRvVD7xd^dz3lHPCZ>#$TmQD}?0ZZV3svcSWYNikDun&0Gnid)up=x_ z@>1~%P@3~bqs*j0?$Nq5&q71Y663418|gK9`^gj#m~Fpp&F!Al<8#^W9`Mpyyffv+ z9NaI39Dmq+#!h-Sz?J0M-DYyA?i64cvGdf@2NuTL4-cmqXdapcnJ7_TRLNe{?}CL_ zK8Ea9=k?MbkF&tQXJ|yKU=#REXu{1z=hJp#HqJF_dFix9r7BKY_w-@YQ&`3N|= zANc;x8o8*OK74aq)UAjWo$KMTi{yRHzabbWk@f~psNbcy=)_#yYgL#fEvZ*T3?=1c{#&y{YE4Q zo9V=QH}rV6Qq7jJYb^Gmcb$|2c-I%x4vzY8UWcS^b`z-Ht2SRIa)V4qK=R3(8b@>T z{O{U42>+Pi9|3@%X6%tU&pxHjDg$Oha!9U;Yl!@qqUa^-s-RP7Kr;7 zrX;KFN}Su-YzGDS9K(wEeRU<^s_(19T-5S|{iq0-P|3Bs%Qw19n%O)w07vBp6grh) zpm6f{H}BnU!Y8_p&BMv_3_2mH=k94k8#78gq!g9kHMQZJxpQ@NA?!sD&pI&P0Mu(D zKVRdst>4Nc6)7%cmt!LmHS|;N=bF-AR``_#{CG9pC@k&Ki4%N;8}Hs{+W)PQgH zn>DVn_h@MVZ4n!dYohMZF;wrkjAOWM=@x!Z5QCl6rpPVW7p;==_0B&!SlKr+Pm|Lx zx%(h+1ga*zsqe3E#BqQJ#y4Sl%n*GzwW+{ugiYL?B8yU&9_JNF-nB)l504Y;%Ho0vP-~o3>u>#y; zh6Vj4yxl%qi1#GR|m*34+7R@eHf`ym)xj+KM`k+#>YA`uAVll)q{dfu8rbwZ1bI1rMBySiQt1?eVw|s5 zaLTNur*_laHE$) zmYo9?tiFMhJgz8$+&f8cld6ePnm#=_M;h|>ix|C?NkN$jTLqkJHzAZ~!WbS-TBmxjr&j3sU6G7xtm$B)%P*FS6_JWit|bl%fH6rtxrI14RQHg*cZw2~-yf zUR<%H*UY~o0re&AvyxrzKSl`heQ$7jz~L|x#MNv{h(CEH_auK(Hqb9IgOw~6-)&m( zMb!~(VfLv|#)hd@iMWx77G*_WRO8`vrX-H}Y#&QY9^Xe%=2fnh=cq@EShXn?Zyl0Ow6o z!cE+*=GK3szdy&PH}+5btC?S${+xf5oP;81yszz(iaYhg$UL7_TASQJ-ih%NSWdwq zbyn2d9>Sl`eKM~(;Y!IC6HBtO-`qvQR;J=UbQo~)ukTZ5Tk8(c+3S%a z-+s!>ve|56GiaXZwqK#u4t?bP;LXM5cG$mV@^J^*k!~O9#{pIvBBS>3La}F*fl7&v z_r$QE^@Nv9s8$u2mEySBh{KvJ=$@G&175vw44Ix6FvWbXc=Vci!`cy`5tDhr7Bz>* zleglB&^Xo|zAdohp(>bUXr50cM-q!)`Y>K}jDWxw92!!1`W2cB6}$&0K&R}GTNZFz zomxP4e;tn((m@9q>phC#fnCaDY>j!e0l7C=zH97gZ6l4#7lzWoyCze6sbac=OAr(G z)>-SII$8?zeG@QF0VbEU_S`SQu)H7oXt#dj4>~xh94vNfcFlX~PnZ31oZncF^I|L1 z#l}`ZJg#a1UaDk+By_11PU@A8 zsedeE^zHoZEH6~-*O%*Ir*`%Q&vpZRM%!5rO7QeH)G#Y(a$v!Fm;$|>2{rjPGbg6K5Mh^AEINAIM2z;zr3eiamV481rINO3E!h5VuSLQ?Y$4Q zPhy8;NtSaWeBwDKxHpCZgV91&4AOFmH8qN9>OLh0UXytaU(bC z<~m$D4=HAjJhOhoDZA;ciEsB_!5Qi_&#?bqV$YH)^vo96-4;D@iUG4Z=f&j2dUhZC zOGKS}1NQ+?qfs6s&-NugWd=%jqtJie@(Pwz>h&d4u>Z) zc>3xIdq^$F$HaU4{28EE{tjcC_dTE2rHM@>b6?6%yVxC-T--8!5Qj2l)ik`kb?AOs z%Qj^MPdX<3y_eMsA!LBpvd+(9w+)W0;Y{uGoGqtur<`FG--X?V?SKfK-x#YAo;&^S zY?VaZ%Sh?qy}Uhdc<;l879MJH`yKd1eA0z>x9>b%St&jiifXvVQvUYjfoQC=&CC#! zQnmYPyH2iGV+xN|e%AJvw!M{TA?Ahkv2&ZII@iQ^A~uZx zLlGXl%(9ZXTqwOa?iZ9*1JUrMgKvIFNr02N9j`(ct)3|qMFyg2oL_}6W4>}yNq%3y zM6NTh(GwVCmpa~1TxkOigP%_g!1d~!^eD{H`dx?{iVWjwK0lwNzwK!E2K3^?#5^S^ z`f3>kLfNiY)|j-1K-tB!y1g|{70496`Vu1)Z>=>Z073gmaOOSy{Qld9Ob`?U(b;om z?T?T;VT${6-+!WQY$Yt!O!K@d)9>?PuPtASxM#GqUeSbeI0j6eh776eFvAi6!oq1; z6ynG2&^hA6STS8OpD&idJF@^7xb|>99jjv5j|@6?oH!_Zc|uU^jS&v3kGJi1hyPP- z9F2H#zdK3~+@DpJ&P_Oh&)reOdp6&tH@6bD%w&0Qu1dU~KMkU;QZ5qZ?_WuqC(I$8 z%I#3Y;q#s+;2E%iPw6v}qdhO|+<-dR-)}2p6#Px^_ds&mhzIeR{)+%Dj{x+2q>sz!SjiryX0VPuGK%F}f}?ALHzkL_)8hn4 zNCatYOj2rkz77n|xR?F0X=|z{2gHzuIXp8!>Jg~dj}*nE_nQ?PflJFEdRXyT#B&cq zB464|{QZuUiW$;}-_j({;D!I*-$~=Fzrh|Pt}Ou0(CuK!mUo0j3kj#qM}ViAxIe0A>; z9Ax1HoENOdu=6;T>oDIt6R;$C#m7S|xznedg#8e7+@4HdSG~kX)t|oU_t!U#Yr_>j z!L0)N1}M7pa%e)75a@sz$c zO5!rj=d=DcSgw3Y5_KWFin`Ag+VZdDcixHPWj?GLOff|(=~mI%hu*3uZ1#8z;CxXR za-ae>H|`W&f1j6`IeSLf=`t>|O@Nl4TDp%UT1m{wGsjx#1wUM=3LA$xE(Uk$=Znw zVxmxL0Qo6eAH#F&wLzB3k!BcIx->`#7|AxtV+}ZG3gUR)aUG2X@AZcpNYG?ESu^2% zFSMWs&h@z3#R@KW$A&tML(afFITYvrXwZ*r2h2CHt}s z^Uq;ikCKDi_nq7u1jmz4D*s@}7Q6Qk2m7fOKXw9?GAQF*aHgzpsAyC{iB2wE>UGuS z@^;krDDp7oftRA30!_}o;oKaEdqxKpL`LaV)Zn`c-V~`-EW7`hrdf^EZ3VfKL?;?+ zn&O2+&tcY`2|Kfs2eZg)%>X?|D{g%oaAYi_6h$(g1IA}i^eQbLjBC-_;A$R?`w~LJ zjN~AmDng;caKtpt2N&QF>|cKW)Rzx^d;KNLn!+bJT!o}|I#I+Y8ND|@IvqY-06u+K z6+;6`b$=JjTr|0ZqZRdri}tlge)z_rb2+0RjW&sKvx0JSx@$|>829h#mq)FsoIuxq zn$45MiB}&)d7=eIRH^0cd(g#jb)*+VmBLdyzMjVi48NNz5!Md}UK3cMNKgLld3U-h zWwoav;JRI*pH*-T>yh^w`c$4MyVUMa>S{h3TfQrh{BWaU@jwLLtHbcB(nmGY$)0&| zn8oO+rV;iHOxMG_c^=*d&1*O8#hS70@stLbY1Q@lOH#zxvJho{$HN&xjDtFRuY-ag zO>o18wn`2js(TC*i*!a^?fRT)4SPbY1#cTq^KHYvs<|=i(2stuhwU8ItNL9Tcm2OR zwO7kY(V&NQyb-vnn;xgxdP%T>vWwd>wrX8$dXeO9#ry2*hjd_#a|6VhkcT{T@$tT+ zcQK_Pn8At{qV&pZouacmMoG{lH%CTvIuR}YIpgw&rcHg#rdc;!TvRvptA3V5sX+w% zr3*U}cb^WixUUBO!RIyR^9343 z5V*Y2=`k4`vJc{24ge&UeJ!Y4`O9>z%qhRl#&nn5<@ z`7J58e`1y-pcMShuV5Cg`t-`b5&4pMt^xZdHu6qr_6X7=t8_^oVRc6yq{;NNQiDAk zIw6gP_bb@H0*9uHX$acH8PqQh0svD;i`Xi6Z?Nv*()*>H*LfsxQz%#Zi0t0yjo!b0 zK*WIR{O%x0J!%CCrJbG;nN0oiBPMjgP3yfwT|M12PVyFk9eJp@@IC^ z$jo1EZX(W`4%nUc#2j{pOg}7zDvzh*90^1wtZ8JFzV+ocwgNS+OHCj1RDthkT7>e zbc`jhX2JT_q(Pu9nH#~rD9sFoe@KYQ&!o$YWBo1&Euszu6L8_3E2RCi=x1F&5}G*SmRcjhA7_smvdLW7~Ey^R~Ht0aryR5Pq+VeK8vqi@Dd-hqAm7+>XXI#vDt8H z;s4cpyY6E4KmPe>EW#BGO42_%ZTJ+UAdil&e|l}=3qs+uoj~~ZS6^1uwoftnr;GaU zU$+OL@VR?_oY?(GcNA{x7Igi6b^ce!_0O;CSM%e~r~mD&#<&*n&9C?R<9U8j=qdPr zJkQeQll^l7-`y%w6 zN~LdxBmd{m2AT{)0{EaKN|CPApZ_* zb@=n!{@e9^ym$pVgem|L|J5tx@B<(8>OcJ1`{e)ZS?{KVB{N`dNI-X4;^py~DHXks z5(W zzt?L2MQ1zxduJPG@-v;!sV8t^;qkfI1Rs3H@RAQ-#9^7$L0CWAKq_VnCJv^Ij%Vdjd>5To7uuuNWmQj zzJWFAgk=!Hkr#wD-Bde~F}E`T->#J{k$$O}Nhmcvs`_o;MLfOg;P3;@V$+Dz?5q z-NAHob6{5D4gU-PuS{9;bHqF#aFw2F?@5_I^@JY!wI4HUbt8@W7 zyu}}4k8-hC>^IxrXW42g^*}lh6I0ER1wU*x%w5giRqCnO*)YNIp1}nnqwhj%)Ws5* zFY`TJx>IE}FUT}u0O`{4{aj%V4CZ|6zdu8)I&L`-R*fdb)zPv8Un|lyN+OgrcSYKty`j; zeWb;tja|@Ng8~Kv4HWT)@d(}SVUhLk=;bHc$_;mX^q{DE(~dV0fZtegu~)<;&Y%%h z@J`q1@r|T5w|j%Fi&;_i7^ig=*WCvnAi^STUMMfVyOtT<8J#v2ByG%Fu*w&wz2@a) z)wVT`jqAEC$2KK=g==Y?qYzC#OQ9tq)j$IsJoVk42C*aAqnnNrWp%#nsH1{Li=Oxe zkDERKqSyk2N1oUQJ;um4sGr0UfiPT$P#S$0FD%63J&;7ieifEQpekrCCjr4gt)J4&V~nUl>*>ihE$MnGt<9tP6Dp!0%L1 z4W!tiMBrXgkQi~16p5%8In4@>^4<>VCaCvNfR3x> zV4IXi!l|M9n)>X_UmaZDCgTnt_IQt0M8_^zu_g~?-@fs8@384}O$FiZeGcjP_IMw} zuWWFe!=7$}=Z=Ja&M1%PFdK*o?6nS1BbbQ;JV~IqKyG*y=SSJ+718=RHDg+7uI{O* za_vMQWsMSFiVse-vSrEs9K`v&&CL}-OYk*>0C^pK(4oYVoC%F`fz85DOup$>s_8m- zRr>=EtApS@z3+yVUt#ZkM&id#>@_t*Qs$Hg{Lw= z;_1TP8VavR)?lhXUQ;dj-TK>kn$ck zbUB1^sd(_#clTBdw}4bCSdPO+8)|&=P@EnDVQ*V#2IK8cO$;eo6?G|gRszYOCWc!P zG4^V{<7=96U2p0VH8A5^-w|rt16+QGLi8=AA1ruog5be~dW(wpr2lHtKz7~bl>O3V zo36$~SZlsKCFXhX)T}fXb2|X$b?ppTc@Jf1CG;n+KM)v&ANv4m5dMVh_@d>J4@+zu z^@RLL4%{9)SaGIxKxsNZw(|>zu31kW_S+~!emuL|et3ch-VU~NcRqSxZYbgdAVgP?GcnBu{&mF?;OOtmmKdNfDk(qDOyPn zrO~bT#<@fMj>!-Nk6VVY;65gdnGta)nT*ZjiBZNE8ZZ5>`JX*nYf5(#1vl$=ZdQp- zBNxMMyeO(mV40e-+`z!P65rRd%fV&6ALl{Vj*))NDdJ>0#;}~CCNWgsHsY=Rkqdz!b$%efunUR8v(&B`$e2KU`=c#GVy~_1l$g%esEF|Lt6gHu@0czA^64ZR2AcQ})ClctY8I7A zU9}^(=ct~+&1Gy%aT&e>reD5+RlZL$%GumW;^JQRF20ja1zN7?c4#>7O~%_(iterK zmWd-B8wT-M^3fQF&*|tS2bz@G^9HcjnpG}Ojxn-~vGg_9v!^@{_?a`hil6!6ii*qG zjnL54Q&?9-beX^b{oVy5&3A=6qz?6(Cxpzu0(&Gk!>59xrm6X_Y#$Ef%RxMfu#wpK zJi;rl#AS879PEyVKW)%;L4n1Z69zFYVN%>4js8@ehn*eE*gdc3xONo*>0+uh zJGJ7XX(@{6e4LSNz~M_T!pi?}6drg=_f?t&Y`+agY}Q?jlb!P9Vi|gU|F+ zb+@acE0rKCjNn0=*QcM+?$U25xL3mu_1aTzJ}fu?GT!e8l+Au4enV)m4F)Z4_xYXW z2Xx_}@aVimJ$~GKhgl&qdIgR|nWCwUb?8$wW5 zDdatxTpqa%(88ttuMgS-qQzh+g18gBJ7;r5uI23v@@1!nj$ z;qYYv$ZysgdT{CPC2`~rHVr=XI9|XY1nXVBN8mbS)iHVKL09-_C_4;DEDZM!uIDZN z3UbFU@T?MDTgjl%xtGbp_{qV=<|Vc+ga}&}Wy`PKTYhoRH^Cfo+Mr-}K z6^1&~k6YVUCWD{xNRWv0@RFk@LRoqiwtjQQy923Gg7|Q@@3#KxX-a(;<;zD%4E6`q zFN@0wTD%VH1Calj%=ZUkp~-9KvxsRX{0PLix`edfzsEZ@15c>z3Y?{PExns#Pkngl zftXCf*i&J1K9>oR5B^>Xo|n>!q?({c@>%;O;|$)5#)O&|dYq#U$Nai2!fkgG%x6uR zs{^m8cF>3mMPP^0yHCUT9b^H$X=8R3V6=Y0G{e~m6TcTtu*C4)$J4bn?dvn; ziGgt9Hp~S#f#z70Mi^fL#4?M-;fg6E&sFB^jj8O zPAwADNavkwqO+_w41X}6Sm<2@+=98+vokK?Au2W)Q(hVWcvj!Uk=t`8$9l}2RLE!j zlSo@L4{jedokE;{))myeY*^n&b|&=I46?ky8Fk-4@ zeUif@l|Nm!&kZ|w9v^n|*ZnZ`SiZ=n18*4VJ2^dFR)HQF_^v8(tnqqag4Up2=mi(` z^1av??3)@DlpeycTQ$8`;!3m=n$N>*z4z>E4c&&jo?lubZ;ASSC?H5u?R6IxUIzK- zJ!~-1QD4=;0QxK2zm#`x1;}DHG~tqNaq^IXfkO-3!Z!?`lPAuG* zv*8^vrK(*tn`A(P`7j!-zAMFspx)VYQjS%C{fV|;#H@Xjz!oi&HVYzp2qR6jn%Fkfe643FCr#26AFVq#5U#;4ApqX@M!!6-%hueioStRj_0TQWAOc$Y~SD@ zeq$X#QZN}_gwM#?!`K)_cT<6t6uO;S6ee3A^^a_o_v%;}6h$8>EJ*hifbQ6GNCrbn^z zn&nr+~XYnvcrG2}bOqTAvjrP`sm(6(GKKcshF^Kz%#Za411;g(#Z@Nt7 zi)SO5+b&cn8@^8&-iAOj)qcP8cl;?k=wCZoOCvra&lGc9^)xpUR^YdL$m#C|xtXT$ z+|yBg=pD+D|b9xu>sr23A;`ye<;5Ih=`ZlB#XvE$aK# z$k(k7-%nxI7yBsyRMF4d*4EK=A|P3`LA5wQF=gyr_r2ksCx6*_cg@8&z}Q{n2Z`VV zmh5I}ar9Og&V7k#L5sC2xJkhwna{x{9nVo?o5V^m&$HodzCn3hzWIlc5A@Rjv;KSG z^76F@fuAW&;Q6e_BU8RGKHRWtF9yu3j@Rz_Rm#027KvJ)m!e!0YL>BL!-kG_~^S1PQc1zV|+566NCeHg*MNdoA`#5!RxC?T0tb*_x~^Zt~x^ zxY!=SCws!c>*~8+5`4j$c`tcy$;;H#g9@_j2{LMRuJ&Uu1g-trUHF;F^Fkfz&v6Pc zZnNg`0@H;PB^t)Pj!s=OvhGe>TI1#9XzYawR?TEL7KL5Rr#J8E#*SDy4FdHj z+LFo>hS}h%ja`}dG(iSuC@UNW%vfn_LCEOgz09m7PH4DGRXj)?vT0#W5&`B*uKuvX zxyzcR2}0Xf#3QhOXa=^!dU{(go5a2k2RF=(S6o*fUsHad@ps&AFOZ#n^zd|d;J)nk z_A>+XMwAp6cGVGc>;WbRlKi?y$AA->N{ko-3r>JT?-C*WXZbaUgX8;jj}X7deE!9N z)!9{PBN$^qrs6}K@La_Q+KqmCgAtEf!7LJNqm5om9CZP`4)SrmW%+h$w+i*$>Dzeg z8LMKb?$^T3b^BBz<#-!i`y7qM4Zfn&{>lyCEV!N$R#ke|RFV4}5UAeB-?S7lz82dH z$VaIJK5JMDxa{A(_43V6)7Vvh4@apst!KK}Z555FmP@5~8lFuYc>> znYJ@u?~T`pkt6L0-w2iG?7h~UZuAhR;|;U`}o`QRCWZc-4r zw!dhXH8i;R=3mKWENE_vE7^HMY8%wzAe{8KnLI7oi|z8KP=hC55qBj08)c7_8eTw=bZf|) zYZgD-<3=0le|(64Pc*VSAlg!?Y-%Vl|K+359i47D_vL~l=Y&GE#jp5D2_@sV9B~o3 zSw2c*d0+^*W=0~PPH6+WxkgS_MT_(1z;GsfLsFG?qqY0^12WqUvNTmHJ8lDt+` zR}m4nIz8lLh|~22nDn81hQ8iChWuxI#e#2e+zTZw=>4U>+lg=VmuQ57|uQx3& z=RJSCSqXhhh+n%LIr8-F0RlRw*P96Ck$3N$OlLWxg{?g&UNbxAXsOafP|ZNbCu(~z zXv}`Jnz*&#{(OG`^?t?UJ^FEFfS(X&PHAVqz1+mtN0DQNk}A1al!lh6sFxO85iF0L zg`-USfIaGBqYQF#X@1p77V@d}@w(osTQ9WTO~{FM9?R}Q!ObH-oM5;Al=S(Tr|;+o zmt4C?f5{Sb8v^T1JU9h`Y@CXDGIiSH1UK2^XO-e~JinNOtGeo*kr>68JUIzEy zW6eV3WvKp9^MRip7au$-9gD8(KX!*;AMo0|Q;+3u+K@)$i$i6nm`3smj^YFPmvxV; z8bMZI{U}t{iqcNU$?K4POOpN#1VVnrQ4b9Z-10Fo-OfSJymfpe_S7yHW7M(tkDyE|K@b^eX2Q^xc2QA-GbRmOJTmUlBy`Ol+YFKn~_m8Aj%N`STpvPHrS0jM$e z2$7hpca4E%at<9g4KgR1SVdIB#gT)_%T*Ov9}XZ6lZUOh9I(DqBLrk-{71)z>|D-Q z*sg|9t9%Ju8lW6)y$Ri+CcChH(J%8NQBLZYr+u-Z%UJ2eBZ&ZR52ywNd`(?YQk&~Yh=#W0%M4^t4uEGi9$>rmy2%R6* z#as$pM{ostRm0nkoLYd6NhSm0ezAC;S+uG3)*;#3AI#*Edlh!~46Jb)8Np+=&H4MMOMo+V+Kj?Th`{6y6o0l25)DqL z`bE_b!^*!_xr||~uf=asq5Cj!m#k&c3s;8f&42^gI?VCM5!VIXR90ZYOg;+`lvrz| zRpa$~T=~G#5wjV)dj6Pimm1WE5HX!P0w#Y4IpxnqE1 zt<*=;XpzRPb@Ww~M&dzu4KH*B>3vP3I@>>HG1rQnz^) zUz*avO62>#`9+YcwfrYO$E=l&0fs}N2;#DH&Op|3Qf+6JsD8P21oJgpTi7oVKA zZu)$TYwWA3kpHR^SR9fg!)f7(JT^Iq$4P$n>fB>_Plzbg-3q#}tBYxhn1-;{ggj9< z=Vz&}a>o^R*LMd@ajIRo!jtg;*nr(eR*vrtL)XJVUYeB5-&_0wX_e0Oh@!$#(n_VkO zTd{qih?xJo`>`8A#F78@Ws-zM@VJmAcUO*sGC`q%V_JH0&Yu^=@2n_i;6bMLW2^H> zck9=ua+npw-+PI9HABSg1e5LF$#ORH(eSWwpk^V^4x{N5_8!OPU^T*Be2f^&*!rhV zS7M3>@{X_%GHq{QHICumuEhr??R#f?-ui-oKYniHH03|?Dd0_G9bAP6onFJo2O&p; zcXRazIhq^}o-uYZ>EArVG^N{A8=@q#Ntkr1PT-Sz7{LzB=U;^;gP}is#!vZKcz#|8 z-QPD!j^`4tDgo7xws7c(vX1G`t#)bt29>m$p3VlDbq1DC9?skiu#3afY+XG2F#DyY zij~V|t{GGT+5Up>XS*&c>$dIbJ;hmIdN(>h0*>1pYP?JBY!X(YEM_gmte$9sScED8 zvq07u0=(hVy!I9sB&R8qwCqGz{6@co+fb>+PZ>fRdHO_pAOM?>^tvMS^KCD%4yct{ zg&4bG7uYSO_M!7hpZwr)S}#%k6LT=k%8E^@oI0MH3!-S!@9I9bNFi*ieJLWtScAL; zUU6v)2nEO=+a)q>L^pe^tGu!s+|A>0td8k&D@Trw)uYCq*9bI-MLR1U3X##r0&j0T zv8P$|%R5|hp#@*ZO@dbc~NRb5ubf`xam&@9B zo_9|$Cjt79kEc(XP_IXlr1eZ~`+)@jAXhWnWW^bu7pOoxqI|6GobzBiU^xopIY#1n z-MnKjKeQ{q&-aSIe>~r-kLLv(WXA~URaEQTL38jOuci`;Qujz+RGUB3`;b3=xLb>E zBSDm{$244aWe9x_$l7o|)R& zfA%fkU_BJaM`eF-zDi7BlpZIC-;wvtW6Vzsivy>~5BFQCyB(@x{1I&~@>INVgZ57W z+a|wgqM!|EdCd0>gq@>wGkWqT0hy(=Y@1IcjtUx1I_cby6g3+Sua?GpHqz-> zcJ%QBN32C6Z z%pM>1=^rVI8k`nOY|UK(ja)C7FpVuy)n>b{n`0y0udm10Ra8Ik%aM{`D=hq0;lCFA@~QpWKs!i-D+KR5 z)yw&>-kyJBK5$37<(J{+DGcohfgdr^=jc>$4UhY@fygjDLeb`?zu?Fa<%zXZZfBuU z_T;b!19`pvoi+N2m)+^SB8h;1%eiP0;0<1N zivSY-C&GtNHaxQ*g^#gyd2R=gYKf zbz|MrlC{fV;M0sDC7nB9@XqhW;!j_v?{L^6J4sD%2XZ?WX3m{2pBe7^PGXVv(zSYR67*W;pO z{{wEXxiL-oM*W8JTiC%#@fh`5`Q8KNeJ3wAT(7ey(~O9sg6PMMU|>E;vrqbst@>r& zCyUmO(f}E^DYvF@-PzG3e%&|Vd4T*_4a2utrCE3Ky8w&2(`Si82xSIA{4RW>WQ-;$ zcP9tW`>FNmKjPM4zKIyP$=edR=gC5zoq$A?CkxyT&CWOPr;!(ML5<(cJu~cl^$qG1 z846}Of}pMpvTIP&fdAxUJ%_(|)H+!2{j;|_0L9^rl60|7Nd)cCD19%<`(0j8TSjOH z9lFnNxa^tugx)Q4kd3oeoe8_Zv{;a8ST36#4qf&U5E*03zp=}l-Fgwxv0Xqb65z4K zOsamDbe0BuyoK_yuZ}$VJhL*i_#2t2U*@ zc!#dUD_co%-tIm@LKJ6Fx`M}mf}_>tn>ZoEEKR7qUt;w0FWU>fI;UQ6x9Iq1o-1;t z-44SI7bhLAq5XUnr@lCl8LO+t8g?EyxDDKQsMFWE@J38sd80b}^`gU(K%OY$XK%NK zr%&nFhkA(xAOK;7{euo(nRPpluKGB9LkZoF#Y?vFkQ&byWSL~$uHu~#4CXyxbymIK zSKT`81DQ_~pd^(I&Q3O?Mf+e)(EyI59CnRoONROrPVgMB#IK-6?TN3LSn0zb1T@=# zW|0UFW|g?UN9`2z*L#3u|L)fk(1GyTnb#TBshEZiGrGJU@;#x6pDCRuVT=pU^ioMQi@3(6lL*3Cm2Dt z>e_=n&5w=8S=hK{k8YMbe6s?jqL?2+-*!YK0KWhf!xCO7_L)AxnRBS zel$bAAM1N#>^EQb-&x=1zGcu+th&2qc>(S_1;?-_R>(5sdqs?ZYh%-wT>mw;L<6{a?rkH1|(hXD?Nk9QzhZo39Kc zdn|xHJp5$LpFfc_y>a7;&7b?;0j6++H`zfU_)iP$Zv>+;=+^=)1ZU;`$G(S}M)&Pz zBzHS`mQK(V1i5TQ1OgBA6mbE z8D}Q&2Sqk2n@OOEJj081J-Z;)Qg}OG=Ngf~{l(g)VE&v`sDOvMK-4ws#6kGryG4~o zJb}Rp6Fr2F?c1!ri@FtXCqYl_nGt`fGx$^SQ3+#j@+3R_ZJK9e=C}9J$&aQ2mZTN0 zm4Hpn@H)Pa)SiN-ez?x!5kMEjvaR!%x{%{rsNBa@v+~KlurlT$>hwAAj3V5`;ad0_ zfnka@QYU>&@kbH2+;1b=aowfOUF@9MJJ0D)j48eZe*w~{cz25s{1xNO zm43B$nA!K!HJ()Z%shx9N3V!i0GNPcCb~{-VS6vJ|G_gkJ7M2)j8UCY$ZIpHxi5vZ z-*Eoc)xKCX9nrgAaq4SlxEk+#^Acyc4Pr!sYxI@%McA6xFoKnyvmL6kSK=}2~4#XYfX?C zBgq4ju>g%v)WNQ;01Rr^=1)RnOP6F;CU!PyR^4l5UPmLA9`|)vx#9OABFzZrmx~s4ah#9ey`#_2jf?IzNO#Hn3v24!mmA+A(&!0ycyj<7!S?- z?4uV%vFy?gg7xMGa>FK5hFtENm`y6KXer!Ea#t7sb?LrfWu$3h*EQjtEtM9|4V(*x#;9yOX+6xB-cHn(0OlxF~; zpR#S*I#Bw#{GeW~2x7hCSD$4F=3TE0{!x7nYTKb${=P6fcF5?2@3<})L55r`Ky>sM z&~Rsg{C%3e=W1@(Gc9vyTj%ryQ0jKJuDz~^?Nok{&$B=I(em1Yh!~K@_yWDEGyI#s zif|Q~EBE3Z!{o`7Mx?JtUAu1L~YVh1;xW`OYH)`H&8xLcJM~@Fy$c^sk{C%tyr^tNB?F(mKLlJZ@nogptHu9Z{xjK z<@;yNg%(0x$%{cLBDRuYyvWf5X$2;J^zGAx!uon)R{>Q*rc1A*6nE?Q>H|~RQr8Hl zH~j)fS|NtMb2Dq>!D!7h4D2WWbGmo73Nx2O>7pX(2mED_;}r5F(eD(-6ggl%ej2{N z*IkxE{e4YBSPgY#u#Bt6Ti1A>fZw*> zzvt<57F@)OK8Q9AzjMnZ8#q^nsOr9C?nJVGoDlcN^Cn#B0S4YpSPDLT6JVXJ8JgvK zO7CTl__Vzuie`=3zGRC>p^0|DOrQkqV(O$WBix#p<)`yq1DD|l%;-#p&pt>o3Y_48 zNC3Bp8|iBl!MYszP5Nk90k`_4jSqu1P{1WUF7~H{G6X)RmbJX!gy20Vm--tyLSudd z+-j%to#=8$dAira27ly19uIf9pW!b<_vQ>JM+r=dak$|d>M2vOIS(zbbB943>kkr| zrp2rYSOzaOe~07S8LQisM@&-7g(q*RO;Iw({jQ?k4)hWwDBy$H`{3cSOY+Q&w7IiN z^!Z(pO*ax1AKhU6NP#muO%($UMV+!ck3)rOJ`?=?N*pOkr{?G3aG*a|31;qh?nrY8qF3;DNGd0X|U*Y|FYtl*@1IxNsmR(Q9^Bdn2a zC)dNy{mP>~xpoKC(s=R;{oS$$q;BT(JwDn*BS! zXp=X&cNUJ|{ngILESa{ku$H*898=C;SQm~MoqWEE{Ys!9Uz+pGWmkH({xNSitIT02 z69&gKeSbw8FjBgyEbZwY3k_=N_CA$kvtLW~N`C40QDYz#m0qu!93HL)p(wk%+P|Hw zjri`QXgPe2g-&6jkwJTX#p@?&y>#7}0tcU7a>b`G!Fp$Dbn?nS%0sz?0;3Uk;DqKt z=A3PBVFQj2v5Gg?>1yf^i9<}L= zm9ySfGa1YteHmlNl*-E9Z0bIy*^W(gB0A?(d6eN`J1x*wm1Ppsy+8uCr=h43$NnIC zOfJGM>e{M35bnja+}cw=uuwSbxb0sfBD}3jS!GFeW2^n6rx4T=L*l`E?2{9|_SGYO z2{EgAy_#ZC609-gb%#$c$9uQZy8OMxYpwPUk{B#6a{oGe+Dp!UOO7Vtrr5t9OVX&?WCYemAJGR#BWNJxcwFrMJu$h3 z5i_9Vq@D=IisBuOrcCWT8s?_kh!x=ovWaa{Fqj&SB`B!iP~5UpTgB7Cr`;jSX3?U3 z!#)Uooy@FE&mVZ&fham7O3AOvvx`SE0-{Z+oM#mO_MNs1g!=0>$etI(6M*&8_eS6M zB`>)rQRcL^LO>DoFbI@=FyglpeqwxqJ;;?!= zE&hHLeyPUD!1YPq)EdHBre&GBL;5+K?Q}5ar;TjKukvmK|Amb2Y*bJq5wiaPS74V} z16mfYd#45Z`JMYTiJN!(b6QBFq^r7j43PJ<*D&9xMW}|oE)ZA|6Jy<}Fm z((I!s_$U_<&o4L>(>PUf%((bC_5c9cH9MGHKi&_o^XSx`<%_OhCINJ06g<=BrMWIZ zB0r*G6(_u3ezrP(<_==qltxm;+v5d=3W>*$Uy{D@+VmcP`DDl-u7Bwx*TKl7Oox=* z)fu|v02F7lj;jwkPr8C~=(7IwG!f9SviG#P*YB6hAy&(T=qj7KOuxoh$_mn%J%=+E zd)(TG1e9^zLFzV+FfmZrSouUZK~lQAN8>)gGa~dSlOy+-GFqhk>a8dd7$my^f9rsv!7?H*F}pxo!9mzwt^ zMYrYiOtHr#^4+ObsF5i3gHNHObkWY2*!vc_$=dpaoi1vpDJur3%$fANKuzWSyYu&j zO=Qnk&`VvhS($zt?*Gjmx$2V$h6%nCL+|$_tK$O@bZoR>wPGtQk7(hTR>!e*x7P8s zgaTV!JoS!24to*#hhA_|^(-lzlJ3G2hk^uRE9e%m)Exn2K#)_~C{8lZ+j1+o?FwM^ zit4M)&c3dG`wuNN!cAyDI$AKA#1yEnw#<15LeNn}9u@vo?U`_b78z_7RlatM=Z$vp zDQ|ePO$)5=y8h`{VK9#Yvj8vK`&6L)eU3NkgO{k}NF8HRY6h2lf}KEDtw*aP$F{gfBeiDY|-{6D|9&aCEwc3U~%%v84^P}v!7&qT z3!UJ~e0F6Lj_IS@(vf)UVw@qXMJT?6@ z!84cyP0Ej&x{y0>8Oir^qP^fC00X!essdc&>evR$#ZY_DcU4fQJnxR?*L@FOH{YhL zhSLP2<1!tWT0H)&55Ko8o99wsJxmCF)`Ik%5Jc{T>7(LJ6&{7d+)&*KxjkMvwXcHD z6UH&LxDD2p?3hL-0I!?x-|L1(zyQ)sdR!98O#%d5w`5tEcoB`=lYvWT@}H+G5f}-4 zSps?vDJ&;Tm;em`vk2K)Lwse5vs>`;iHZ{tzLD_PG*=7Esu;yBkv^rs$=q3EF1g?y z^!5dDxv?%l%ge$onDE!`7`k~=C3^^%nrSg1LSE^67+D5>Lp3BvAAm;$jT+;Ix0H|? zQIE=X)D?t+ZU_5wul1t9(KC?;hS?zPr0DQ-`l4j?xn<=+z^yKKe~x{{*P6*dpmtpT z;EMf2Pgi57k<^K8mWr4x(eA!v*RP)3;-s6c@!+-s{gpxgT@AH5E|BvVX{y41of>?h%{rdNxJ*gLova#3s@1KMJ z`z`C`t?AF7BY0nDf7(6&`RnqKZ2B4RU;qBu>2WcS``-Q6-{o|gcY$iQtfEy#^zT2r zd!*X}KstB%LiqE~Ux)X1=~FFXg?J@ z8HJ}UqG&sq(EYWzO^WmdiX zkDo`oPd8TZ`#wJgGATLf3M8}8tVX`f`H$!55oX)daGZZVzIdEh(>(Rc`9B{w`}Bw2 z@RK@z;(`CypFggq{y!hL_wM>(PvTCa{=Cos>oIA6(xLv3$6hUC) zdu_a1=7;#t$Mb;r&HsEIoR%GCc6jW&|F@rmuBqK4fBnY*`Cor00jtUX@mhM|=56`e zsqsAX)L`a#yMbW@f9ON7e!UY3+^JW^>upyUoU`i)tApMH^VuHC6Y=r5x>b% z+AJF%O|U@lEK1pYHe$>2a9^)0UgJ6kE+PQ_Gvtn$CYb#ngA0xGjig}8v$p#+ikc7~ zga*vx+HFg{4ZWmaXMdwvWb^y*L-Ze(HWK|sZRoi4-}pCZX9X_DsCMEhh+S^J2sXP8~<;EkD^MTVpCkN$atV<0!s zuqRwRAAvJ=Fu>o=(2iYq^39eX!ryZFJCwkdLAiYr@kxGG?V$cSh2^5=%v7`=!--?2 z_n$$Ql0AI2?Z)Tgm+-fnHsSGqPu{NG!>Wly;D#{~pE;lHy&yNpag4n?oNk9|FiK(G zxf{P+hF4dFS&eQsMoR`pgN8a5q83ax#S9D*_IE<$`6DjRb7?4lrq!pB}1w`a=xza(% zao>V5pHs$Q>CQY2cvPfh=GRwj002$55-;0PDH(nMpf<5Sa9evqUV%#UGb9)xQb$nkn) zrF<8iU#3(|>5>xpv$^0(dQoGMt!;h; z@R)k~@3uc^L~RS*%5?km!E?lh%PY*y=wfEIbvKmb6YJp}*s&v4A_k@u_97F_Q^#Nt z?0j^GfJ#IgRIhj`!Ct3k8kOA64ETUMu3CN`7C+~{ z418Ak-9N|Qo6vN4nS1sLeKhd_5n!9(okjQ<=|!JX2E%#ef0|bI#$Puycd7U(oc`Q6 zcEleRn+yf>sw$@WWQUde=S zeX$2le}~qH7wVI4==Avd`>4cyi6XfZ@4n}Do!al^p)|uqrtsQD2GuVE3{-(KgDik* zB!r@gwP(YuP~K}zc>7#+Nz98^{9L5%hyWl0Zkf2b*kQ2Vol&Lg)ZDXu$9b2Zux87aIrJKU*lK-au_dUb=-|2wLmxJ)#y0ZIe0IkyN`P zw|@Zvv>%ZRkfmE16bDUMlnilLU;r^(7%7b06aTmT9P+kVrPY$lla$EVFF1NVSU7(p)>md_$Ew_vZ$-V#R=SETw#U! zIeY&~|M7KrQ?!N3t26%=t#mFNlZ5l6Vcy$5_lcc+Eu!9f-kO%mFNn9A14$z^Zaf1E z6kPAE6PP(b?oAF56zQZZ$|o%$x9{O|7>WZ#)bGPR+kv;@7v`s|+vyciZ_guW-6GCmm=V(k^oiw%lz;bw z#k?8JW`4_T^_9=o5EVC>RT&TqM6yedGV#_o<@GZE=ADNy;iwa`G#4YNWdG;gI1}H` z+&6z7p#9t(AENNwiRYT}ZTzbSAlJy#q<)tGg4ZW1!4;e|61>sO7#;a?Z_<~G)94~a zbLEs_Rvrh!$(H)c@$$2PPgrfEMfv+clpmaUHUYCR8NCA!kGO@a;P}`5w0^8Pvd2pJ z+o4m}^Rcv_&FQa9kMckaQx?3gD|bH~{ay$ON8PwH(-;~w1};c70({FX2Ra{?2EQ2w zl(zJoarTMAK*yO7bq06H^vzFkVtdUeDkrZttK-#3ogbi^6@C4Nr!(FYlfDjTaa}c6PwADV| z+95T7{%w3v$^_NYFWgmjY1O*Biit+#gZg~=mF8C1q5L_0+pTk-rCXAZ+Jj2^3yBz- z;nC?8RuScb>v(36mv$Pqy`*B)QM@J}(c$1C_)T<@HZTn^eT)fQmz&uyov{8$55db3 z@O8(<$hviBr0d&0JcZRBWmsTUVkjpb<*Og^B=63ln}sir5Ra|*lw#Vn!t^|wO{8#X zgFQI97FJ?c%3zV{vtb(+Cpd@yQH^Gq1vYB>r}3H+)J>q(+An(N-hcJZ0h8tD%aN#} zY(W8UKkCs$2o-G9^zd{7y(PbRZnI5ez}Gm6K=ZDsr;IL zrsvaTO6|XdCd0cssZqz~F!?eiltTS(#}%ImF={WRUFai0bb;HPzZVE#;4|rd zUZ72|u0>eNVeQ~NlzKj%xJ&oR+-Xhx2!{p6&UR(YPHf{Jpa2A99iG-q4XmLLIiUI|@-Hw7c9Zhd$0$L`f35my-q75V~-E za7qT+t&v z=%R_VHC%V0qUTPb<#9%NI|>D;X=R7papt|1CYOa!(%WnKgb$~tZ{Ju-P8wEYtMNl4 zEPv&`B!`VsZksIfreZ3`P<>Lqfcy1dUR)wSzn!kg00%=rN1C4Za_Rg&stsa!ro)|^ z>DxTPSMfwhWdK~i)DEWxC6}H96G6DoNqo3%ka|~g2h0QNm3qsDZC~NvZik1gJ&wyO zIQ!=)MkF5JrBR8L%3-Bl`GuGpc7z`t&Xv=xS*2qCa@D7*gEmCaO7p(JiN3sQ_hEhP zFbpSNQ2QsYY|TCNNY7PN0mO=j3Z7hw-SuZu54i>m02FL@kS9)ShVtgHR&jm08d7*Y zR@GV9UP`p!=ER?$zsG7UGP_ea9S9`4^8My!NQQBzwPZTx!9C-1pHE*1H(~8_;%CTA zZOGvJ`+=xTZi(Ta)=*F;|NI%%iRYG7A8z8Wf1i{bC$V&ZlG!AJ^dZ~0YNsuoJ!5s? zpK{VTh_YX}@!GK>c~P!>B3*%;5rnF4T`9j8Icq{V34YM(BXayf0I#*Padg42o?oxL zzilY`(ol)_NGiTVnaFdoBS+R&%j))|`3o`gHD6Gt$lXFx8m}$0mnwQIXdh*S$7D69 z+&-q5TATar_j(@Q%I;f#6d~M(&%lWK{DyrzILyR8(>4QDo(nTS8Ku6n509QX{n(y& z-21{WH9#Wq{`tN6m8Fzv1Fxx6J>K-QAXSm*rBl2=ip4@?9d^q-HX-8Z>cxlh9Lbgz z=g?z$z_ZyHkzP)GPgHgTXE*Dn#^QX5*OI5zm^gufOd4E;$DD6!4uZ(55)E_wLUv({ zkJ}37PnLHZR0F@4tkuF{*xM$7{+gUV;#vo25_ee9rqX*oaC{a*7ra*vU!1+As1D0% zV!vyF7w=AlQ7f9BI9yjzv3{`S2EB(Sg*AP5h0@)~jM6dtGZAeZ++0sp&P{O&6VLlP zO2IVvrgZv;PzI(@U?}eU52|Cgh1hCd-k_yR^kGb5>SSKe!5!c(TyAFxw{fc7B^zFy z_wXTf&x4lI?S}85h0hR%K2Bm6-AH4*Q|DihqZBLCBuP+Dxto4CtP_z5myFKcJvgSq zGn$jvK^Y?4K0kmvVFU4PO&5B4@*eTH)yosI6X3HT5P#fXL}ooa>TA*ws}lW===T!z zFNY>bnr;VxanHhVsRY(;P7jjX2RcPsqoW7)-|KpD<}eOS)$M&Vz>BJVtpkrl*(qEi z3c>T{xG)tcsrS>y-sbxzN95I)Gc(7`KtpYuf7_=gCU>}_`n%bs8y`HNCuW3Q<-QbF zm%*#7pVj?=&FXi15+a9=m2h}2>M<0)`(G0_`}`Pm1-Sqi1zoMoWk<|41f5zO&0i#7 z$trXERsQL#W1iNXt*8H6iBtUN!QkKc^$U5hQZTkTZ_{L9)bsoSIbp)`SM+9oYv`bZ z)j&9VVK#}c=3Se9oIlrKy&4_Ux59Q>6^km^smaN&`MbCZ7f#nbyM3kNO7C`m&zJK4 zW8q7F85y##hywq)Kq=#l6qMt}rN#Y2$s1o?h@;vP>X*W->f)(Z^*H@7m4sY=y?1YO zn`n99&XrlA@>T6y5EvOiAnMkkC;yS4+k8gDg^^rskJnZ2hR?=o-Mdl<4`+J9l@{bA zf038clC$5oi=L4wQ~pL>wX$PQ@&y@w3n`5IRQZ^&bs{5YtU zgprWFQ{}?QpUt&1dE!GZ@!wZ78e~#zdU&DKH=u-B96owHzj$jneaNgV-GFI9liSmI9QN%7Ev3YMg|SmhxHo zlpc1f2>K<5bKDrfT_-EYL%mlC=X)~nF`ez0e2$LugruOEGGE&g|*P*=l_`35mBu39Zk za691vyeXX5kup4bMNalY4^XKBrXkrC?D|4pj5rXR`eslrQ~*TS)}FXcLbNi$e{{DC z_^BR~v(&qYjl5^g#52x|5rOF36Z!{ObTI3~;BNwP5G<$x+wbF4K!XvldZ+xpk0T7{ z_G!5;$sKgu$O=zM8cA{T5Px?C^AU+(vo_nUW#_k-M#O|Y`?$JU3Mberg4wSXdek>C zsF`X{aH+8j_XeL7g~!y1+H}f0Q%K>ZLnm?GBop1pz}?dNX*Z= zvKD#N**&S6#}AoFkn!Ms%;=X=kT(ppGe60zq{n#U)pGIraqd<^N|Ei&61q7^=Hj6( zWHJl1^I?6uPM?MB4J6UCBEHYNQQxONM&kV_E2Func6nTC zV|*j?2Z-7U{F;$;S2KnlloJn7HQ0>LTh^AKVsUrghTy8WFeF}r4F?+U z_ud*fgxmMYq%u7K1=+nx$2lFEGeD(Fo4im;c(yQR{0#qtjPICPG6oevv>?#RznlAUC$B_R ze0G0Wkq>4_{%05-#4FvddvX{OlNk=9V^tkRXn@#@U}X9rV}iiG!(tm{TKCCGet@b| zE8ec!HR1<@c${&_jKVL8?uk|~5>)EP$mJwfYYfLuqRCB&F2Rz{P)oyUA#omWC&Nd^ zb3Sp2`OWQ~GibhK}adfgYa56df_}l7NhO zsou$kED9^C&1il^#n=U_R>LM$j7xE_PW+wx0~j=Cbt2HCrZA1bA~>K2oGx6O#7~P> zpUdJzrOwGGW~jh?J1kcxa*iObcQZjB3=W&iU$A*f0$DAv{doP2LV4;TW^n)~j}g2=Rj}kBIrg zSSMF)4aJ=HWwOQs(>o>nH&4PY!GF%0Wd&pQhsB6duKv8#J%1*|{RId87jkxqoM<%3 zk%S4dAF?gE7;vRrLq)#(yUX8IuXT2Z0|sq;NW8&8jSwIE&F}b+X$7zKgPF2vfE4@x zUw@M?8&;P{;a#3_AC((2Ir4(IJkO1=IAw#Jp&ko!p>M{r49>0I1Y=pX)x-BjEe?mo z%{_eUSjhdIF`dD)wu5rSC-RQA)-`q4g>IT>d3Z}st1TSd+TAyao*{o!o|=$-;Jx043*dQR69~f7qr-J>Ra*`;q-)A@zEuc%LE72#Z@fu5N$3MO$sTTb)tIMuuyrQ@;2+58xtVmN9s zKENs1$J|Z4jw8Wj_`w_>%~aqr1Ku0tbs3#Ne!shkBa~V09`P+3b2AS1EIrG*mMGB{ zzH&qu^=Vr1?I;>}Oft*xeyEWL>*=eQ-f@o&|EUzCNR{z2tb@bS+>J+Px9q3eqL6qQ z^?mD2ZTcPsg5^!V33qT%A8AEtb;(M~p0RLn{`1R%+v@x&X1H{;fssxdAhdj)XS+1JwW9f8{&YaBm)-B%> z&&ys(55`SMGExhu4Us@i5tlcf=??00haL5YIk=A3sZ~55*;viGX`d+Bv_%n#fC+Wu zNiA)?vd=zm1~*z2a6kFXHZ~imtD$x!WF9qk|JA9y;ICO0q5Xm$6W$M7g`rG|i(Wi_ zF-7}z`H?$km+}+sZSmfAKlF;^6`a25gPuCRiJ{)3L*(H#|AM(vytj&&*NOAhm7gAV zA^Vm0CBd{kpalIArx7Z+8V{Jq{(ip$%Ronbw}<@T*u$oNGY+4M4Di$mQ4%MWT>R&s z4_fFPNV&a+J59k*B}EZjun;Cf5kOV^EfHVny)XUj1Y$EFz7$fu0ZZ#OHxt zLc)!GSA`1tF(eSCP1xnW*^PpXim>^=DZxwH%BtjXiI$l?4TTOsl|)z|sEtoT=Dyv$ z%JqPy?gr!vUXXLS@7vPat7f#e!3F{)KOsg;&-CkvGtj>~$36WmysQ7W$4sj6;yEN8 zk-@RLjFusUO9i~LtPhwm$@fkj@QzUtBJa-abjLcAu9x6`X_fhxFkG?BgWx?MP8rL|zg9O`bL@q*4-g4Lp5yg?C5)Y;fxRWP;UVkr|xHg6d} zR>D%zaf$Wp^R&Ezn#sJ9qeTt~@x3a%4g&=D-A)b-#XH1kOTZlqKF0%j%#kJ#Kj0Uy|y5 zcj4+8EV1KpkhPcs9VXDg)|YLZVU{tXo}-74Z7 z|2pdL@lZskMG5S6(;zPv1cNj>cB5^pVt$FiY95P`b}03IHHUm7Pa`3n-+&8s@Pi~+ zH(3FeV!4z0n8to@zmg5cF`22wSkgf;9_8VZNE6?!N?QA?Y=DwDZL1}+CVX-Q_V3GH z##LNSMEmMk7e9f^Vn5%{)u-+++31m5)eEL56dfc-!Ry8o%V*01JRit8$itnxE>}|Q zN7;kKeK}o$?4Z9xcVK65Q4gsYA9vo@m3OxHE_va=z~n%$)`AWR*P01y-uNzku8Qx4 zD%K{%X{(kBL+nH4S{cS*`g6)ZTQAnx)kdu`>1vZ}boRjmh~hsw|3aKce?^v$3y z0cP5`UnMzU`nx6^YdzK*KLI}rN1lyM$)Yb<$xgDUz0O7Q*X3NE-{1cs?ag|f)v|5N zAH)N7_2>#?8v_PYzERrLn9}&yXJ2t{o)bH6N_kT$g%r}azj7@b&pAf#t!1rLMKv5F z=+>^l`H>yDUx|Ew`8y{>dQOeP@2y(wzn-~!&PJI3$A^70;4Z4oq~WkCZO|7m{7gKZ z?l$&9Hyg6|Uw!TISexgQ_ltU)!tvx#vAY#PgD;uwinnpP0LJM#AVy(IuFC1(f88y^6{c}S#m z%_>xsGm-ELM#8^s?O7X=15k3fO0>Z6`oiYTcTg z4WA3IFXKji?0bQVM?WLvk{@`sVc|f5JHDY^2ycL3_67&xZvqb%X}SC!s?t0B(%ck| z&Xw{5OF1pen`L;YSDpO#=Q6_IRm7|eiHhjune3?e)r4bL51ms5>3N$g1fzL-^G6}z zuPb0)!X<%S*p0#<7Ib8m(Dn?#FnOAPk&e$8bJv}^jZWI{=hom(QIsDVrYm=fmh#ul zCHzS50ep&VcmnH*W=F}1&$Q?(F`S$o{4 zJ46fbxh{MbF_K;TZMD_Rw>x=<8aLe!OSp>oa&r7!zU`^$!lB0l%&Ty+rb?XZba%&o zgqJ=1ch|WmK_FDdJ?Ue6fjOI)*2?!pKJ{d2MT?R;DtuR9Ah5pai4x;{P`tj4&96?f z?k?6XMM83)|C%25I1@9-S$S{Jp6z$Rd2CASQh!rF12~w=GYL+f8b%S=C6J@R4$pgc zj2KKZCWIy&4Tb6t^sE+K^`}FEbsjYiNOxL#Y2u@@Na$*yN4F#J?p{C&*8tKuynkt{ z;TZDYeKbu{cTfW^7xUX}!8ZZ-l$=^g->_PCB{RNEcJCe4$IK)H$&ljB1VGCR=Q9;$ zd^}x`rx`*`Wb|)s`lPV9#F%jTs7Dq#{E&>US;5K=6m4s<0>3;Xju2?v4P{=xg9js9 z6a2XP_?#C^oauzKGip@+9#s1&7`A*v4tZ}i)479ILTagKBQbI`>R@^e%%6$)4O?d+ z^T7|7#BclI=;D2|s=HR;r0Hm3VG^TzpD}<%XuvmAe={{=^kH$3V&hU?z72ap!0ysq z!<1Tpq#2NEDZE!F9G}p-VY7JuTzIuPQvP za}R+)pr?cT#m#LBQ2dxhtuLvJD^Og^jELpJV{d)L(B`gb$X`kF!YU{&pF3yw5!IQw z_}UA1-|lnz+i_iHl(7SDue#3B09-0Q4ooOk9^|F!@1u16Zx(uxbp!GNXCz@^gx%h& zu~`{XYy9N+ldQ9)Lc!eTCyPS3y2CPm%<2MzxMxJnfY)@DWx?^pAqLF50-MqLYZL;+aO5MKl9S3*bmSciI;?R(0e?{S>&GQV{!cJ zN8dXyslf1+`s_JFeH7l8OlA3f5V42B(-_LgocZuPh_D-n_> zXnKV6{pp3jLd$mdkJ((|yS*+NveD$k->ZtmG&XGfTVSfwgbbhe^7@bSLhgSrX1zwp zhbC(F07L{+K}Dxy^f>MN>&m?_ya2DIwO7fodLyt6ZN{r1)>mR!!L`G}+mon|I~u>F z2_BOty;dnkF8Po2-5zQ7=rmf+?3E`mU5nr&e^~z{A-!qgg9-JxJ1c}M#`6pF_a$e| zD#fgUt4p{_@DC9236BqMDXQ#_ij4t6qNb2Y9XuqE=7kNV!k%Nt`-6Ar*G6;X}$5p z(xy>>_9*UxWJAUhe6MJD=V`cE~ zowUC$=f8E*SYcc5gRe;mv&JMklvV*`1n6w;g#O)p?FH$6+lI~!3L_Bv2YRdF6)wOh z!4cs^d`w_l2!htQhDf~ShHK&P;~Bf3+Y7=Ii&yh5diKKmOfb)M?8YbeD-hQe-g|E4 zgXuOM#I~~h7B6r$HgEhU7~TH5jUakY!l}XihXea+TTHHgVc|r^C4yWk%a)@N={McA_qLDt zPLaL{RB;WHz-%9qAV)<0fSf5>8t0bIxE}tNI|Wkpu+)5&G+4?w=cx$SjvXG~KV+#d zvU_HGhlSW=NVne5yPphv}#*jTiAf*#>6_N4FS;>EmJ2Fm2&G_{p5BMK? z=+3Xl*Or%fEUxYDmTvrsx9Fd)9t~1mF(&F#=(b9VH;x_nyotJdczU?lal3cZnb?ah z4_QZQbdsd8Hf(eg$`Pn3zEHgIh=)t9GD^^JT|`ympd;M3|ykxr8k~u`h zIQw~6QQ3oUe>5-kBL412mS#a&KJBxG{T$osh^+kY6C*~65t{>ZeT=LTz#fMwzH#CG zTpj;9FP44qlf`(dR8bAtesl0f3Pw~-wT7F4E_xH%z-jzfvH1KN-iRQ zM*e#T@yi=tMT5;!_oE^zH;dMU;El0+Wj|jS7_;B(0FSHwW99XnwF~ z20P&0zy7R`$0oQ#x}2M}q~Cg%8eUZ|5)l?DZW`WiFY(+mYVXZ$hcnmdPTr;f_&d+N z{(Xjtdt47NQE3-35$!8r2~#%lCv5o8J1&C(nY)X5kIWWeJ1SXKME5Gv7E6P&Kct^)gAeGb2wS>mP2ZsM9x zK=h-~e!`w~N?<1mF~fMfC)Lt5?xU1wSQCoF-f%cZpE@&^1?+0$y^;%{s|%T5??38@ zCK0uzZk8~bIXt(f&g2+F8w8I2)wM;)`4-V4{3kvtz5Vg_k$EQgufA?cyFBT>h~B(K zE=za()58ho`1kYarN_^|^Ff_vIB8MCz_wv7`WsP^a5y8=w5#Z2YUJmo&gG^CyyxFK zm3O34LU3p|lp6o<-fqA1^UFsAK)<2#`+sy=n?fr7?dKN9D)TgyGXK%Vy?|77zWV+D z*1MIpfA0sQOnV8{_V^9@rG!0a+CWt^PhM8+leqy$90Xfzy> z6)amnU~vJD)ToF3{_;F=Os3Tek8<&U_f+q@GksN45^Q7Gg+P!1vhMHmIK;b3bzaqJ z87RTgKhbB{bAP^oWGKHJ$;%jedhxY7c)8i)j8q@0yzL-h!zlNEI=#hVciMlVV)%QF zmfLmrrjg5Nzn9t`_ABRThjqMQ*I2CVf{R?umM~Xnzw63ZG88%xpoJ9!=N=2FAuAqs zqjqP8=%3x&=YFqS7o4Bl$BF~k6$*nBypyGeM+8PUc!7T2wy)JJj^pCSCx1)L8s&k) z8niuT+T9y44i3KT+g@-0?zqvxzxSk1^5ZXa!Y(C`|3e@We*nV92%NlLCxIKq`wyoS z^!zjR9r(TKO*6Wpu(q;$j+FHOeC_P62dCay;0+%Zr+7Ko>sOFP5VB|HskxDt|9HJT zPvD@F1lfh6JJF|4jpvp)FIo;10)FiaiNd>zJ>DhCoO=JjIqQcEnM|JKe|C&7yJNU= z{&AIb8lmaq$|~O^J%O0$D^^AZv~J<1WRzGbkqeE;X7O46`@Mko#PxGDFmN}W=z2Ot z+c=m<=(zq|R*e2l$s7$M_cOmzAM;5U1ic6AGcRPw04u2NHxV4hzkc-T$&d%|fd197 zK0jZ>O|&0@n-wEJH0l0k3WSh%>`6FK$zvvua0D=W=T3wuZU6PWKLtve$+Np!Ix-4Z zF?$BeQ_X?ePT#k?wXj9v{r%o=+m(L$zkcs{#+(0sA*Im(5`>Z_z09Z(U2&zuhLhPX zTz-EhC@TOUKLSa)%3{VMf?*FQR;z!BuY5bFd0rc<3irDZwkUdfVki-!V3kbIk9)!A z{~D~>^IB2${ds;O4_Qlc>cX*?{-Yy)zcT+{{TntyWY{IeZ-7;yPZCpL#wEk_KePvU z&AmQ9`TyvbKX=e3J&$rd=#Y+vrE)HM;Az7+lc}T6mMpgh{3;k>w*9wP=_B$ZIdZ%+K;6Yy+N*x1a0f(J= znQvc*N6LO!MKeNu*4D1bk4ZufASFBjH9Iccuy>mYn%muktq8=~<2Z9A#j1l^N9EoO zzSr;Q#@5nZkpAg~WjRaV&tY{9xXUC}FSSAOe( z4^b$~j@uouZbQHQwtgWyASpPG0n+2 zgkvx;$kKlBg4yQ~{{_gC^nXj;zRN-|j^K9H#3y$hr>O~rm7fv$Q(9Hb=6yewxBWW8 zRxiZEOUGE`UeNXjybZPrk2QG9v8K;tNzSNAYX;5tOCx8kJGG4=bDA?9EiaxH^JU!$ z>z*r)SUe6gLqye}{jh#Fj~s!DFS824#_3oDr%YGl1-1hQiRQ?gQ+a5yPS!}*x^`P} z=_SXXG+aOIo08=dh%kBsw9VZw=c|)K4K_wf16@pF53lXkm8J;ZjYyCFP%7TN^)Ig@4P?0DBz#P6L~j#WY^m_i=cnhnzHCnEzLU3 zK^SG%dgp_0ylw9@bW)|WpVFJk>3aKy)Ub=NJVZuQME@laH=A|_D{!sWJWU8{V&H5x zM_zuRD5m2jy|G@F{rcHJO5B1Ircvxlef$vG{JC#))TN`tq#A(++rxxfRh~BikoPsEmk!r;ME8_ku(AaC+@I7N4hVkW zWOV%FRzkWuBzax>mP9`7O|1Z2_kw@tX7V%M@cYbP?)2CRo7m(aW1~@78G8?X&D<0Z z3^E!gC!&(rYJ?cR<;e~BFMH}m6thtg`16Ro_+ZbAJhRo?JEH|nE_yI1K6s(7s41kS z>niP)GSS%O9w}T(H#SrR4SN<$t^Hczt`KE7-1qltRm9_olad$HJ09n!CV_b--qB;C zj3AqT&}l8)O&AFCS{$@!+5{n={JkKZ@Wws*E{n=i*m|CkVEK1LLZvLid~XwTNweyd zs>7ya?}O?x0ZG@`>z`?RZGrhcdUU92g@HIC*28p$_BI%dM;`r}aS4CF9jR7i zhSnc@NH0t1Y4Ai<7VlzhawNa?6M5W0wdQAg2Lo5&Ec9u>Qv7uhY`^y#Sl5}CGwA|0 z>ZPtbj*)dtk+&gk?+e~aOvsjFgG%uh5(G?aYeqbE8&G9At=Iz<%{!dSYfsLaZ$LCR zK#Do*))5twX|P51n)CY$CLK+~^D+KokpJcS@xL7HVwyqiZJdJ9N-&mX!UGl9;?>{- zgjUsKF#iRX?raKz>{H>s?b1!c0JlgX-!YHZ@(Yg(Vn1QB%g~qtuv?TLaZOP_CqHiL zY0GbNAz)wiy$<{by!NZqn>(7o#5g@bgfIs7cO=z)+j(co&$*+7IvHUxPHQDl*PN&; z;cE{&Hw%z(T${kdT3dXqSSEvdA}^Dp9=#s zD~^P^pWJ@Z?)}87MFY}OF3}=?Pu&y^`b@V&bG*)48{N}Ug!xqOW}eIrF5Si+a@l-; zVATa-%)JsYvn37W#)3(yIDQZpzd<@AP0aUuLVi3OL_!MsbDRu(IS66Z??YAqPl&wP zbu?E?C-#P|OH?C={th{T0)4fL5`s6EsDEcz4qcHKwPChM3zLsrchUPpx2eEvqguGV zQi9Cv8w^i=6ygZ`16IdZm{`ZhE|nhb=anLxzYh3jI5|%N7qx(NQZ6yxB)`M!=xFoz zG}ptC=rH!U@yXe6hsA-kJP3I>yq}-zOLJhk*b9ef-t-TCd~&~pT|+qv<4H{>&Z}uV zSTK;$3??&u$SPp6C~>gSgY8|k)xYO%@~<9w)1v{8H10R6AlJS2sHQlpL?WZmTKzUE z^}8P12HoOnK%YYi3|Jn|9%RtjMdn{pxws*EQJ@TsYP53EY^hP{kEohB{;Aoh)NpHA zdZ>yTAT-Z%=-iA9_yIdIn@YjpPTPPd&HjM^)QSn;NE z@r6^IqP#3kSk-W#r@zthrWZrHs?oS#^H3y4lwgk7{qg`KPZ{ckNI!KHlmbTqG70os zzkBHx9IXDEJ{M zfKuNT;IsHg7sVlxaw|8C&s8G86o2ksyDhFIrLmwFpXrNj#xm4RV(96$zY= z0j-rWlIpQ;^G(2h$=X?Njt56J;S5|14*_qy2)o^W2+~y$Z#Y2vn}8V&GmTrOUv~Qz zSET8riPQ~5Uvn7{$cIBg8$JPwcJjg^ExtD5{j8s~*AeHm{*YD4SzxgspM2+8?}oIP zTCnjYj&F_h5+aB);@i9Gn0X*Ycj}Zs)J9)J1vk9|@3CK5BSDKk9Iw9<&qpSL{)U)W zy?3ir`a6N%#X3dJ@%e5(de&27T4gc8dL#pVwnYz#dwv(br1vE!O_{jNv*w=$0cmBp z9>9=LMEaoad*d7IFzjx8+LUqXePxHQ8N4-q`rO)QTdJV7hAcV%2J}vO zj~T!cA>s}%EZ4e4T^!BVntK9N#5=WN-(xa0BV8}Srz}T;geJl{v}&dsfyu>X-QB z8WGag)?d!=!B>glu=*L&AF{c39md)>L`Y3}9Ni)m_`kGp=Kjc#oBmg7};_`-@@VAChC)-P+<=Uw?-_T%Z>Fe5IhdH=1YP8hklO1JVt9C++IYBc39Y96Bxq5FVJ5RgQAT%GsLS0B^T$Fxy6dh?aTwBi`vniqp!GrWg{Hb&Qyy+5TUGS}U3-zEtII&DUfr7kpkp$Fkzw4~h;gw#WgcxL*PYFM0qv?9 zxVSIV)$&nP4$nU)&ARb_<(_DTf8r6(OZN2y3fY7`_JAAm+mg8Ca&&0Lj`ZelXxh7p z3b7-WC=;$ui)%}n3IRDFHszIX9=v$EUe8{azzyGKmjZz&>CUK54p-cY{vt+l)oBdp z1(9wmCZ91~W79Ky_EO(OjQ!V5($-`+OrMTIN9KF5>v7J{!76g502}Coc=Dfm=eS^p z?D``h_qCCK-#2(<1k~d5L-okI3y z5BtJW?8Lhz>6Z}7V54`tM?7C3LQ?alP_x|9j}OB9;^ivaR$v!|5RmQz=)YhaMVP4KKY(4PW-LEV{H1JMsCZxL@Wx`(|zTwLd;W!6~=p8QtB+x!&L?L=T7N-o-PbPwe{Iq=|FRZyKtxJH7|6 zP3M&JE*)@TuP_(_%UD3Y?oM(<{x>UIFL^SXR2oCfR+7mA>-IQ!1uQRFa~n~7WXUAT z`$LYRx>WxyL0J(=i_SrY;VA4L^*3OOiR!ycg>>xFwtyc| zMR<6ecAb-%%Moh&h@cKyL5|!?tEDqtcH{BsYgV8o3!&Y6{z z{T?{740%$7=&rsG=+;?A>-AY!q6!4KNL_se9CsR8c!2|ZDM*#+UU=tj9|G~uJRzP- zEjie+haqUJt{f=`c~^5?Mxf;`ErxPA)8V8anYAyky;?SRnMpp+)MDxa>AIs}2cXC_ zXEyJ8qIe;8P~eaDE_=$UCRvprBXF+5MLg;EO0IV(KO^Y?Ggafwe~ z&)h?(78Rj0?JhlX4mFouvg!zgou@a@NJHOO;mUg45BHlL#Z3VfH{~84ag!B6b3JQ( z-7fLxSd|d`0tT<9mhgUn;FqV=aaO?SRpADYL(scP*56mFQ&=-lH+tB&U4aw zUy!#N_@ilZ{(fy2j)&C4qKK>N57S3?8pUXu16Ufo0ImET zufPk|K=tu`XYc&pV!#m4V)~YI=3krIs43E9&>cUVU^}1v==}SN*xQYJ&{ck=dZCX; zX;}zSR%~(Jhh-3mmv4n(aq-lCb9mgCl7(wczO8Iy!Oo@(3O_*mlA$CjgpMBFW}Mo7 z$T2*wG;=U*(%%sE`4q@DYqU|nhH_tMixvK>*MF6t7?j2dlcyjQptG?7>-eoX(xQ!? zm|7f;)L(c<^8MXoS9%_AHxbP-UK&)v2ICZe)9S}8NAz!bGtYAd`|FYh=l*ep%k57n z3qBhbuE@6Zui(7L=!U1@o=Xl4AFGsCxjW*zew37jL?eMu|%7i6`vmC)Y!+ zzTEHJ(Jm0Uzq(gs+^bVjcSqy9qFah>(^tM<^gqXLDALs^mcr2zvFcz4@c#xszu(tS zAYWE`xoy%;jlybb9)IV=xA)oJuAi~JKQ_l@g3MAPf?N_yKxa5>+$jU0^b;LJAmh(FfL|MBbXyq+VCJ-zi2_8Oj)>yZ;6RB z;pcuS+g@5nIj=|G)_Ca^p(oK}q;S72Hm5@ilrJQ%gdom71oL}CYb@0s7fm>(=}y9$ z!5IKC$s)rG%krKmEH>l}!M<)8KpqsS(4^{%M|ohQWR8q%+}p?Sv9k<{J`?=edFk&f zLfLuEk<0#uKfi-qR8Q-@A>qas@@|4NdSKfKYMLSF~BicYme$mpNP) z>ua_s@+evBW0=($-@~wl^Ljo;uvBOJ&z{Wh%%^;f>ISd|fe+Y;T_XE=07Ur%Hn#C1 z>U?Bhd?6%TR7Xq~pI;qLdLGUvX$7+bg*)=8Tx47`1$e*BGLel1^zK;KfHM|a{`t2f z!L@*!&u{U0LMHbG-Y+-HMrrN%`u?4<4_~qHdq)`xlnnbCPG}BI!E|^%JUM;eTl4u_ z+K$E=w2FD`|A!X~YOI>o@b4d3=67{JLwwlK5sI z8@(Ro-!hSZa9F zE(=Iwyx%x~dhy94GkyS*!#uEsS7v>^vY7H8A5|us;*UW9kOU*XPS!#AsFS2#(iabf zE^?V4-R-Ku$M-oSyT#l-JI(+wH9(fk-IzBIiFR@L(P}!~uZUN^uzPv0cBd&|j=tX` zp(;R*JbV6fpBu9JQH4;9MS0jg4+sqQ9*Xa%8n@36zUM=FyX_hgAjki^GhD^$85f%N z+YdIH!cgO??}$%CAa%>d zhqmP1g35p_W13w5`nLKGzH{5J*Rj@=y-6TE{Jc5 z*I_p_d6lWD#^=em${tflJvua@d;Xk^`>;+F%=QqiLF__W4?7=8wD9*`qTV(Jc*O^b z#OG`cSg;e%T$V)sKFEBk2_FXeGgwr_{SWi73+pcY>?^Q#(_U8fQRD+pSsswSlex(W zu~_ci_db(CVq7#~{>w7_y=PydJJ9%u4v_T%FA6;cR{Xd|du+_Ja1bpLd9PelzybK+ zYdD=LA=Fv6%rtjqI3sSX4s$VQ!o$}Dmy5Rzk;>L~7`xODEWN*G7SX~438?c)=71}2S*GP~}u>*kDDw4XvBJ&x8Jy!DC(LYT$qamsp7gZ{assZE@^*frEqA56~%C zhN-3n-?bvV=Eg5GNqXIRsr+(EoGr=0bx*V=oQDcy=OiPL%fy~JZU?TA46zM zMJALZ@b2}GRGH5ql)+i!kC@;;N#sh#(w^7lBazb^c7i?5oNf!s-hX#|&;Ql&O?hMo z|Jm`SV%Vj_?)&>5)GoJ|Drno?C^&*UUvn`;ZRvqk@=+2Y)BRr^-;-=EK|bY}9TxA? z`r%!?7Ie>7J4eFq zuA76#Ze$xwI))ztP5a-6Z$#VVr(0J0WpN)cRn(oA_Ia-;%k$Xn6}NBd9A#PKE$St& zp@Eg+vHASj+9s^MZ!Upn7ofK4%j52i+?x0vq&M#TYQ7TMMvVqop4vyoOFF*V)6fsh zS>27i^m}%Z8!NKyk|@0ak66X$HHm{-Je?2vkR_jXR%kt5x(e=_9ZJzUN0fNmZ%}#T zUdjdNHPu&yI%PE7JQmbtG%XJQx_1J1IyJ8Amv@i_Q0N2(+7T8P`*>x9fAd%&D*%_N z8!gl{1z#m_6S!ymj6;z(!aOLsB6H{&?5>3D~jYUvL7|k0y#>))}myxXB*st!rGUBOu6wgdRwcpCEW}F%j>+L=CpT-{HU(LC{ zYfS08uY7(bTJNQIX&!|A8vAWclLT-reAjQxVqnas@xPQ~^8$T`DT~_xBV&03aq@ae z6@hzR-Cchx%_1Uq?Cs=-_jyB2Cb*-Q>1wC`c>Hsva(23KQv~`+oV|lW>}dM()j#41 z5}d>Ph7JVLkNvL1YVX`Tw=i_o>qQ(#vGKfja3&+dI}lGzLqkRIKZNtm89($?b__4( zL-}&Ls=lcw#8yS8v@6RupTDn<%D%Nw(u@rV_itA9rj~;r>}&sGWPAbsa?VyW#wE75 zBxe8LL5_6ox$UrRchNNbJkm|(BAXW8dOw`9BVcbYd3Y+FthhWrGeW}n7CYWxHRqI_ z9{AilJ1Vi=7axKA-TU(e3qo6@>gC+Z+o1$~@3LLSSNDRN!M4oS6lzV7uII;<6f{AG+ z4d`EhAgJ9je!QLyVDt{{r(N!aZpW+&%lBoxqd^&Z&gbQ%`(N}*2KvUD{M(Gh*qatx ztfDY&7#a)D=A9VC@4)dc{w?QgUHqWez0o$JWJCfI2v$EA~QXC6V6XGc1f& z>{l<#J3w!soiq2K_XOuC%7I(+wM`CB5b7>!risn`(C^ftK_C1E)GY1Q8be-I!Jfu7 zbffZYU9^b5dI%8;zt7K5guPXLd3>gL-Cw644K5NNXz&vM;Z-oNC!WH=V~(GWk&lu0 zsZkKTk7ms8_7XaZ!(Z3`tkRLecI1d95C)+`F~O=o8fwB z=if#AP?55^E5CyT4q)HjAlQ8en0-b5b7FdrBuOrQf<+Qd**y4JQiqOBN)r8Mh>)o}FZj=za0sO5c_B( zdg_tU$`D8u2A@SIgr@NlTgl$Jb2{p9Qq$n_`#7N1r!-{VE1700o6t|M{S%a)%+5c?JTkcO5EA4W?h>U zM3Frp+ci^K?_B)vv72hlKi+R#Bzt5v>o!MdCdQbm*)Mpgdvq|b9P(-L9{;v?NPo+u zf=FrE>&AOIE{yUfSZ#;vIb5qGT&uaJcc)8=j<^HYs&HQA8LOXV2Z2t=L!LA3_o%w9 z50hc}39i$lJ+`2{$VhD5qOUhAvC-~fAP0GaLhkC*Sxkq=k;-`YF|rclvQ5cpG0y1i z^BkQ{M^3ii=~GeBe>ve6I!3TBsN?Lf{4X~><$m_beX*T?)zgjFPyZ!@*BHl7t=c`+ z(@}V)I)PdkdZHTAW$1~%S#^V_!q}D=EPnWph0XUqZ3$I@zbgk~V=OquT z-T%hh4EQ7=sU;eju)JOJJu6WAc}w#1;Quxz_b^MBP_m{bRYGn*3O**LT({yxp1%hR zulsZEC7GzOM{MIZ^P+Ls=^x9&pXbS8oY^;nO4zmgU2@v78UrztV@Lb>l`O-^QZI3O z>$NCVox##3GkfI*`w@J;iyonSnQF5X^^Z%!;-%6R%Kln7K@tf{ixU0*N=W3Z6$vd@*`vzx?wEZ8+24T<{1b8Oofes+6Dx!Gc;Il3+g(8 ztIhWKRK3c>{h8yvayyXm6USOcOMiQU+N|^N{vAzzA+5%%xf#k++!__+B<4L(gE2XF zgy_q7fW%fW)-zSzZ2`k1dT>4|Z9dT*BNuP+M`f1_$2v`6-9UFxY3OM3v&fy}zita= zhg7sXoR9nVP#u&bnCnC?%*aTYKTPxsp4C|b;2IYuS7o;?K6e9!3+m!kI|M|FE4}<| zdarc7s2-`&)tJqJEL|Wk2YKSf*Wb1_7ic6L-zewJ66tmBDk=8ri20k@a8ucIs#_cO zuK$yCG}l!n)G!o zTRs>)!f1q9aPf8|v-zVbkf+hJ(@Mq~7Tpg?)8`AdT+5FzaIEEg>$= z;?b zSQ~^&qlqVb-W*6lv$rC+2yoZWH5f52zLY{vUE9WFEu4wfRl0X+`uawX<$^26 zK~7!(clO@y-%2?Xo$n#g6a2DlPQ~PY&Zks1NRSElQo&^$YU$7WH<(7$UH1{)(uo~_wkK5I{ z-)K}H`7uwbwU@$BDzSe3Vi5U;615r`N?Uwv|lr zhN|`oVoJ$%kL(=BV+ip#FKU%7J%c)`2?t;;KGVk7#5sq~RiJ{>iKg#NN?I7)eX00e z&dgB=<`z+E__AP1V(m96eE0UvvfJq^|MV|$7h#=SyM1N4CHXGdq&k5{k%501y0y!)(hKDcGvt&lfqFS^6xWfbM0ln$F7; zR9o{-CelzY&AessdtO+;(-HvS{#$>NI7kmOBG1U&Cj3ABtQ<+X&j03NU02kV z{?WhG86$VGuQmVSa_x_8f&A>_zrCTm6M&$a{%-vLlMYok=kEOf^m``%>}OU+b`28a z-@Kua$ll=<$IBQsjem4G|96L&e8~=6t zfRE^rsOmJ!K7apK0axqoUjLV)wVE*IZQ*xCaF;ajV#jU-xI_42C*`81e-7F9fP|kd zP~^ZaL2=nOwt_F$DxA-M`fL%2({1VdkMHeY5AOe@Z>DQ_(w~U?|H=0ys_MBXj?W9C z+5hR|b(R0@t4a6sH~1fSEV_MTLJY~jd4$Q1kl}kYq~#UiQt#DvaRSU0{DSvTLD^&6 zo!)zYqweN$&Q@j)vMp9i77y6fV5^k$L$b{KX>{@y$`f^Oq_PmE zMB1eD(^!06z3g|F{Y7Kd=C4QmLM%bS5B&YuWqc?bj)Mi1#t#0&zx_8uk{@m59(Iqz z%lZ2c_}{3ACA-6W;op89evcLLi}#ngjp!8acenlH?-%|3y6hlZ^gClIqXO9l7J>kK zBb2o6z-u0Gq-#ObHRCeK> zu}KrE4PVF;s6}GQ-WOTOlMAaq!s>0kcB(cB?N`RL!}q#xu^G|SIbzkdP|LiXM=>S? z9z3Lf&PmmYm!+9(W)DP?vR+@J;H-H$QAK=&Lj!{x1^u}@7)5V?O%)e7pPyMB=izn) z@Mt~jo1m{wt^%((C+B#!XJa()1=C7P0EgM7&Cj#@_4m(MyEE@ zm{ofh{_Jk-_1v|_LoQBDBT%ZCN4V}Dc_VVA_2#5k%lJ$k>Jt>$6xsWAu{G zZrZ-gN>lZ($@i)6p;c{=>xNH;PfkqYAE7<)nV6Y(;BCAy)Q{`F06hW{OH9R)8m8!% zjI7Jf+-cI;Ul{<8oFnykI~u_1dh4O&dL>X;>Ot#ij}#6r-jIKu9+@Au4BxzIIZs&| z&V!mRpwA%1ETwOdtJc6e@$zozH)J?x>VnO=t3{!S1Y`3IkJm*}-b_S&6bY{+i}SV% zOg_d(0OGFw35MOBYnF9s?YeUh)H9rRlg-jwaGJG;nj)q%lKA$GV;x;W{XIWH^sL^g z9GJ@mBao)pi`PS+99|YHm47Lpg*n^`ymN2Q>%$Nh+(v2hQ%0X+43&pekQW$j$BQk} zNKHsUed?dz;eGbYbE+`cJ-&v+4StOgKB9#o$7kb<(HhPC$D;jwSGNQOCf;;XKeeR; zW&J~Jd%@pRZgi16Q7fqf?mI$~Wv*3AL}=^Xp*2dKt2IL~!A`bv(gAGG8pJ< z8k)=4x$TLC&W0Wh8Eqe&k0`}BopR~MDg)JAMP)(@KqOK>k$W?-zD3*ht(1Br zWy$D-x^Z{yr+SqYv?gZ)XP+#2Fz3p$<3K~z2%GnF+!u&r!&&_NDyR@j_uBZ-=Ttf{ zkBWu0lrHN54Bvgjkno!Tr)YZ{GTP6=I=b^#I$13p&#z$9n$_ONli8V8c)PO8^Xd^E z&^C#8BXJI(sRHkUJA))>dF)Bztf8lNN*pDh3_pfadC zM!)Gj5Gt(t@(XX1NdA^BpcaAp-M-K>ppsw02^U#CUv*43dFA>6rT41d^lH*`lEaKC z%I|_1JAOXWK)FSwQ^Vz=*qOuSt-ey89jk;tnP*KS&KLT|pRW+2-;$ZkPSzut8+mTS z@*IZ{Jsy}mc+XIqm!0__J}#bbPh*d4E0#821xUZ!=Z?$#O?k4g@VSsF%R2dLknx@o z+P~i0CY6?Eclp=%=RV)vzc~|WeyJmnvd=l&{`LK_h8b^O-h?sD{9M`H3@Bu86~9yX zd_Ft!0c>k|zD5qMO7q*>A9`PRN#brbwKp~llfeVC5BChTTW2jKF3TM;$Ky!u7TW&nembrpviA{ue>`&|8*h&kWy+k)0J;)y&qrvIfqK^MZXMOT_Urs4 zKmdOL?+aW;Dq=pr-~An$tjV$5L=ocST|1-CC!Z;!{y31IR(jM_+(dl?7WoyuccIV@ zD&_E#E*Mwy`@X7-TG}UK^`kuN(+l)d3hR#}(dw#=Ea(Z(Ew22(NIR2uRk=0G{vaCE zRZ~SorIJdZCzVJgAcgYlbM7y0WZsC3Y~}MrE6%y++lAspxhPg=a4-9rYC3e7** zq1oRVhd&G!yvW_t^}fIN9{i&;))cD5=iPi+pG`ykcyuhK7Kz~mo=>Pk}4HL^-=eEFZR6hBl z^Et-wgGTqdgs4Hu7o>Uao1hAdN}d)2Mbtcb{s2_H4J1$;bn&HyaSFOlBRBVS_@%S- zsw6B4j({)j$fGolVDtbHjb1*AVRQNbm~G7$=WQ<{7a<+?m;Su`qIQp_hquKOQ@ePG z0*PJ|iTQ@;7^~^Ozh5jO&yy~er_IK*di8xWcrJIp?)RE^=V92q9Tu$xBhqM_oYC;3 zey4YH_GEZo?*|dG(!Ic^=ZIKQt-VhS`}-_+hxS6ndxTKC{37owmVSL|iu!qD@j3Ln z#aR-M#!GDTYSLS zg}K>K{-GCerPrMbbXieRKM9b@SaFN(~=QL}6N!*-)aA%_G5{g&n9L-1J@K1IY+B zrJ;TfT|ThcRehUx zO&j}J8~;A$EYg2vNzFzEN-G1%;10*9?B_e1QJlmQY<$?MyIa|%f=#zqUSgR?x`jD; zhz1yLTP3tyuZC^0JKe!hxEX|&xmRzZaz(P0=jN~=<(*kt9iyxMKb3@5UgnJ&rHRS z_$?Jg2+knuhS{rIs^1Ilsf<5AnV4o0sALA6^NOZty~maREb4SR%DczYx$m#?njV&x zL`#pGZU4|_x_yD5`5uzK)}8*yuPltKDZvKm`|b!dXw?OO>Bn%4hUCSzl~60U{GLe5 zS*RP;)#$0giEQ#OZiH(S>W@!pz=zvl zQNZW!ScMN1MXyMNq-hHFALfv`viueH{cckt=79EeO$a9P3~R7jLt@CP5+qRv$UTJD z#j5WxUVFJGV3VpqQAJOer>d>jtlAEikqLsdmg(E~fXYCd7AanKyjJ^qBkW~a;5c@Hzkq2O!8J1fH40~+@W^aK96;M+d3K-F{q+tW zpZgg&o7Dh)gTE6JdT`ry9tV`5pfBl3;@2b@ItYc{{AdfHC-y$lgbfaJzuE;QpS%a$ z^eFgTkMKj7$qSpqlEymq(x9j^35XyFv6%D+RHVr9P<`-W`xS+4MmN{n$LHvXhCZn*V^ko|(P@}; z?|;c!Kd@F>3i_uCpHA{S>0^Ho4FCA=z?miV#~+I0^p71mx*w23UkUCm+0&jJ_!iw& ziHXb~Dwoq1>}1!Wy(>!z+QC^MES; zi@X-oyr*cnVe`vv*Z?N@`(Qs159)W7Z^dz!l1n;eu$vU`wOl5kjoOd@Jn8aL2+-}9 zqrL5$uPuk`>GDVxtM))U6}|ROX6Xt>%YSgChEFqW0FYg>|;X>y%#Y1KgeE#-Ei zwH{oj@Ou~d+sD72FZKoDPl<)d4}K+!$}O)blld#+UdL^RUvf-9z00b}LW%Z7zUFWd z9?08dMo7w zmh_(pJi_Gzd*QpTmHtg);6#Vt@4#c3gAmDc(e&(0_YzswF4#(sX9+L3U$z4_6E|%d zPExGV#?9n~$N2VU{u0pZ9{!&h&w1t!4cPcp8U$B6%R9ve2jc&{MS}VSNA!E_6Qppt z7~%1H+O?mP^qHwROg6$wm>$2jZo_d|`)RaUw?@^X3GT00da^{d?c_I{$Jvs!=iKD?5yD=lFXJQ8X2 z4|h+e`Orj;{O_mTa{Ee#FTOj@c3}$=E;pw5U4(DFzHjg;|5;VQ(GpRz55Yo49-=;I z%$Hn%FeJSXgX2UQO+Oq6Pkb$+0vh69uO-lkz{AK$*@iRV1MS74!ySi=ksw>ZXPZPq zki`ej9{qT22*|0!H@5242b~W71A#re$>0=H!sK4cCp!UgBI4swR9?<+|9EuGd$?iE z_#uC!$+yp@6y+Ks17N@M`>LL~SaT zD8U&q1l~oluF)^ytB8wbrz$%Wu>7E+J$5%X7YsGe)VfSZ`EWltID0T`MSseIxXb|B zHeU|PpnfdOpSeE|+I7*yly&0c*FfENSlAb6QEgk!9r2shx#d4%y-Sti!91zSH1#yD z2fjLLBPLrs(Sqi=4BiQLfwLT1)gsJ45-rz`#1bFWts_>qf{8Ucr>5Ua^Cl$}iHw^_ zZNkQ@K`y^U+SZLGOkpisb^fPIL)TW<-%(IdTW0G1Qaq9rgwy7<&r&yxioef`@2k>T z?(;>aozHJ#f&_>x{VvWUP!Q+7v>=50XCCa7>#O=Euao{a-%9OUvT%Et(eBss48cD~lT2$L{JYgcpo@z&YvdfEN>ZW<}@zT_>Q^ykR)Bkexhb-%0cyBk(CSpE*izj-`Ev>PqD6LyQ zt4dV)*>mtah8p{ZNl*or-TR>bJo|gesLD0k^<;pd{40Nn&g#|J)fY<8S?8S9u!?`u zEjzgESJERKm1ua==O6R!l0rLUo!B^;L)iR075)wVkn3g6rTMGGN_*v6DcC{g{$prE z`PODwU-?%eC2z!{w)K4YWg+?bnHDt5xw5Z?7xHs37SYGqI{d>hMd~`W`Qta`7Q+-m zm*+?hkI9nbywx>ja>cwMfYY`nMNaVu3XiRpWOjG5bJKQ=u5Z zFwei3Jo5~0KZRR6^XW4cZwR`(8*_gap?|)nWg)JQYsxC&n-f@Fa9~gM;I6N$5Zd%%!(~*w5fj_$j2_RduWkJDZ*P_Vrsvnrr^F#*jW7A4;8p zW$>{Uf43hn?hEd+`+Q6vVW*V6W?9ZTI5pM%)9cc!G_kukXFlevpGBKK{GU82Ukl<4 z6FB~oiJ(iW_!98(|K`|l?bl~_dx^}LJyiF5JKnC1D`9?m z2saSOFP8hl&FRwH>;0^bwr+=Hoju4x_TK*ES*&XTS6lU^k@=7abOLd4gO@*^^4jl&FV2S+#O&UwZrm zL(CQ2J*vb9!blz%m|&F0w9h2oK(8!$v|?GOlN$B8ZQ>4SxE@tpIKb znc7N>qfc&!x06_xSI>fj&|h*~kc+LvXY8fE$?f(az>^t@*innK|NF2&Vb-2&P4c?D zkZE&h!Q3;fHf-Ei=B!V-k6G zOzfJ$M@cDKg;qG{(ed+j!Z)7zAleJ;X`q}-MrpA@-DJnKUdD2S8T*j4kywg*lmnE~ z30lGYn33n(L=q`){l`rA5DcXK=>>-TiPbS5e|}z}eUPf!C=x zEib;4?;(in#yebopBwX>P>|)C_8=-ft=x@EX=ETny|`zX=B1-72-4sFcnitog=kPr z7F@R_0gYu8A5n2N%zn|h=J;5q?%JOqSIWknCtoXO)G3U=sI0kVNSpq(E$o&K=Rk0} z-FJ$#m>e%vc;f8~a0xO-NQK1EMVEnec&JtB*T6|vOQgTz^TJGeK~H4(h?17b=gU!mKB17kjRN`CiSMgbSSl-JX5@wwPY9N zw5H%D&l!SM0FU6_7)-KrwLHl@9p4;O0KG(T^KH+?q1gqNWT9R!tGbWFnsA#DC#8VM99p$|iKjYlQ!&??=erk8klmdw-y^4xQVyf2fUYh{!m+%U7f={# zHoj-6fkv>QKz73cFaq>VPaVk_Sv6_SYleFvRlsfZBRcSn;?m5Q>85FDWv8xDr2c+! zA9FhkY&>NAKi9mZEzGJ*yFhvZ&6;lCGpln8D^Glj+2?66n`N;{xQ|=b697Y@PeWSQ z#3++m(u*CDIO0J-!SSQTZz9V_`Ffy*m?&}xHa~!|U<7Tl{Su#Uc$Z$98x}^IZT+dH zE*SsIAB>Qmw%;O!k2v}-gr*9GxEN4;Qhr}hOQS*Q0mKf==^{S6r$k1IJwbH6`d~Hq zTcuBJ9iIIQq2mU3+Iy7&{qoOD1s$4VS#HaabTd;gW0}Z5;6Wa5bMGIPm90VonLVzE zngQzt&G=qg?kWXGmcpU+rWFugSsGzRtG&{D7BO;MHA9M*$z07D?|i4<_J}1|HjoyD zK7?e;fz=}2-_5*Z={E>y_;VGrg$HuQWUvZ$8~7~|A0i0ooX$a!Gg2s@``nKwb;B+J zpEVlmmt}xqZn6hS5B*3MDkmbXNDEYQQoi@ct<2I0M)VrHc7Gmqx{P}y1=V{p^8HH% z_Y7Ci(^wrFEdotK6Nm2s%G0BB>KRqU0U>&6Uk#aR;;~v33_B ze%#9!+i!^d5Vp?I!e6f%G@w1FXzf!{EeW ziQ&)gLWcg@$1}Jh$*c9cX}+z3tjxxQyX&H;h#tOey9V}mEq29qAmozG;rhsnyWrvc z^uS26{jd=%Gws{OF05daenTV)kDNhpULi8(N+}} zM+uE&+h;F02%fO?S6$o>NP3iLJ~7W(DwSqb_2 z6ZkzFGt-dh-VWOv)Aq}I{J1#@^l|&o>2Q7jbjO>>uWa9I07D5KUdqF!BGsc@`(xR} zRhA6?@4lb_gaW~0>AHM9;SO{R@xoZE#vh#D;6U@bUseb|e@y@J1+?{=`AIV;DM@I; z$W~5aLnKDSi;}fc?O+)U9Kz>bUq9GM`^X(rnroa`EsSEex5wWI!q8sCHL}S_<%-is zM1QQ1l1`reI($LVl5Fqd3paFm&)Dd^Vj5DXjUk6QY&m}bUm%Vx2yc}B);<3^w5>Z3 zH!dPb2#9Ga5*88T7x0jXZ5gey-nY+rHbe#9aNKz%G1kD6!DUR90?2s?sD*cANOW|i<|WGvm94B9q%*`#q#_5$70W8Qu8qmwq}SU|K|?p$$`c}vjT-zCft5kEr7!pJ%A;pZ)dEq{;0OK0K> z5dw(!tja@ktAU?X!UkzngeJKh((65Yq!Xap@rww<`3b{(e+P2FBxfu5^0}sqb!XiR zhuwW6yL@*Ip2c&`RzwY(rJlgZN%i-UqIxmPFGvkKH4rtp7}VsBLUL8CfO!I9DTB-G zdAp1mg6xO^wU8CrJHjk+nW-(C@pyN*lDX;pD2gw;mt(#Paw0M`JW28OQ$?^L8yZ2Q z+U;qm_89NV$h&^YCA0nFO#SLUw_7$nx8J+D!Pr+WLu6i(+G_7>H#_#Za@e(2qW|Z1#W-op&0I zb1Vm9e9a+)nVma&QCN17EI1)1*L;T+6G)7gnLd``a*guLV&sf^RxNNh@n{FAOT*xT zMF*KbllFY}s_z>v7YNO&Jkq1?2ndXi4I{$mrfG6Z78{PA za395r{{3^u?6y6)-CmtmSW$hLmlJ*Nf6v6S#39VWIxBJZ6{!)~{ig0@4MfY2j3EgJ z^^fnIS399UL5+{CRcQ7xwVv!Kc~;hRiI4se)x8M_1-};@*E>cErdz6Uj2VMo${gG@zIDy(B5zMbE1A8oWd>M~V4@W2u>Mg>p$g z06!CnP8&E6PM%7Pg83u42=JzMR; ze&A9lat%YD4%qU+p*y}yrI9KRw3xXJ&yXon(k;Qs_1z@rkT~FZ3Xb2oC-H-b==)4% zvIlL&fZ<>$x+#wVYanfzdW}=3J){~z83n$Ffr~cgkhJ!IfCO#{p8(Duo>UKGeE6c^ zBR|T*VvHT1DSkRbte5%-mFm}f4n$p{iYBIFXNNf~`0vK_rGHH+T2II#goh@Y5w##s zirALxild!2IzNTF15h{5Ut9l{OH}^k(CvN#Zs6w@T>rjIhqgJm2A8C1 zAj%;qPPKZJUV3ENgLxZr%vupq6&mkFu;Ru^crc&QKRSg%hC9PFQ7r3`+VAIU3Dd9$ ztp}b=>WKfg*Gqs^8Wrsx-PZ>|QnAqFNtA=5Z09@Epieu;mw4|v-gk>Ke)ad4=>63N zk0+}9)2ae1<2}Cn&0E=D)$xjm%(HAZQx<{|qG!>pufnubc2RZRz#<^i0ua0H!q7CM z%XsnO?x1YO8-n3XnKq(=E{6pT=?UA1hQNxq|*I6({>3c9C?%J!y^kI|3Fmq3|^tC%Bw~)#1KI zA0XBglb5=ComEqRSdRMY1GJSkEWb!$y&pThIRqy(s~lnHc%S=6vuOa+5xKnkXM(^I z1l{l_tp?-mF!zQ?^=9*R`*9gP;JRS=OjE z!CAPPA7dq2Z~5C@QZ{m>d%ld4ch#;x_FJ_5Q6GdmVcjl2yni$zxNYpMI}Pkj$ZnW? zSkDVc^ZNNG2SD>bZC3%y5qW8`3N*w#jf{e75wTSf930df$!iYBnM#pa6yA<}(VKVa zTu|S_yRWb#z7XDRm>3LhZWQr2 zH(vV=3W?4-CPX!V%jI;0@u4Ow6_68Ti&RTLbbbna`wvThYJ98u*~PmtohL`xX))_= z=~IvpCK|l(h{qALjG@q5o8XvVdBg4tn(rUeC@L?rG07PHmAyhT*`Io^CN2ob`IeE;_kZ7Qfpr zfykOjRv69mVh=C*9wCse*S@&e>^u4EtviskmQK40XjV58tCwNv=^k3nt_>3l@>0j< zf?n`Db*LTg&}Z=~qv4PPpSya6D7NQT9xg-;t!ubjUK4>mXHfOgrN;Nft?)qBS^bJX z^P%NK$lmVi16e(avGYiejgSgnp7J$Or?ENckt&AVg9I5IW}%befj+Y16ZY+WJ7JoH zOY2YlAWt|xA*karE2NuRlUMZxTddB zJ|7Xt8`tw=BC!$F$@50oDTQsVL%JK zk$6d(QE48*37mtwueM zL<&JYJ%wIkSmL$99xR&Hd_@Fs%kLW3{eoeEvA5xbCc;w@b%CEOX z|HS#;vq#qmn4;GsC-x;8{>)^g1b*RU4#6j-oRv{!=;G%1!Ra2dOg2C5;@u53q-V@Z zA8bawQBMVV+BZ{r*|G%vV~c42C6m=rDuBCYEIM7wbNH0;PL<>*6bvURQo9;zofivE zyWgLYA9Lc96BuRs4ew4}X^PA)pGtin=hR|_Jo#qC7GL}2tFY!-oLBKLm{jaSVP<*^ z^J+OFOzwi&U+Q`CPZx9ZlK{In5&YK@XjnK-%R>?85d24hI}`i!H!fPuoCOuv$uqi? zxbG{CLSuu!OG;Y!J|LS@agJ8@aoJ8my%b1E|4H?lhL%wxc?Y;F=}c|`+Q6~M>!7;* z<^OUKXufYS`-RLHjIa;?eI{T=na37X+$dU5u1zYoU}B|-)?eqILCffTaJ?MFKr;y@ zA!Eg7?SuvZCgIxwOa|(EN!_PKt{PF@HEvvKE&*MKk>ZdviXrT44-rYp*0u%r!nfaG6L?hdeg^cdpvONfX*zqm71de zNT>iTv#Xcdd;1Ej)#ird>c)IxdEmLLGubhDh1k<5)<<}^47`!Dn>&_x?v9!@ zvqzOiQWWp`#hW1r{zc8wyl=Z`3g1?CDJ>3&`N00o7wVB=r?2U(iUr`Hb!{MPE-u+b zB2G;J!P@H>Ig`a%%n&y(h3Y`qoe&==^>1Txqq14w9KoZ;sC5|rh7xN?E75+uf+vzb zn~gAEb!G_P$BcH@X~d^be92^!&z_fY4M0> ze&#cM`bIql256bIc6wy_0g8cKX|t?6KY`SMc``|3=1o`>`#OMtK_3l`WIDVeBm;9i ztpvX*SKNSQZC|9BLHl5m`%k{Qz;@hb`229}WNFY~z|#E9Bc3*!p1}=t>Cg7JZxmJ2 zCvUm_dge_JR6I28F$otm;B42!(PMxtejRVOHO45n4~(ly@dek<_<-vr5xQGiwlo+j zu1)R+n|;RN8-DKD!Zvpg8VO(yUh2HTPWo{OW_x7oluEhHj}mNkXE36}{*AB!LKJJK zGH`2+*isonl`9e18y0G$KjEPprwo8BxghYd)&Eh9<+pR zmPiR#9J0V#mT;PhgEMhrH(Nq^Nj*~G3Omt$I!@s=hM&}16yYR%vkMXW!k<*mF>P-BG1(XpnW0W-sADrbeXJqr0|<4o>GFOXbBlH4p?yf}4-`kfAic zGoCfR0g#kA6mo>=mAOOgJqtLnh>uS}y){}Z9#fxPx1Mq8O!^KI-hAJh(Eu)TSm9LI~NnC!&N39(!3@60jdj`%K1x=k&B?)i51Ykl$a-&gI?~ndWPZcKRB_e&ZFRU?6|N_7~?00{bKE%Ro!PyKG{x z!LopG-JV8n8yxoroNqH;x7K0E^6>heTj<=vpxD1}-}q=-^FZuxXpT-KKtCLyn##Dt z{>~zQLs9V1^C3z34mtiyUPW?dJS@xPkZmUnY%lXTZI|nt%Ub)2e`mM$N_2>zs;oC1 zmyeJx_?o$kIx&wUS$}BwVTfD^iL(cx{W2_k!2>Ku=8|oikRrbDnNRk(_Fp~(JBv45 zllp4}Gv0$Fw@q0OV15L^Og+C??tgB+y3Z^Y=^K9xnggG zaC4INorxO(ZBf(Y|Mu_WYu7hG1!vqK|J5h{>mi>Yw3)@>e)gKc{kQ)={s={jL+<$h z_I2D~8ky~M|GEFuNB&oj`T6?pSlj-8{2S~6p6LJRFaPWB-=hO}{p8>O>ucFndCqzN z!}l(h=4<_L|HghjbTi5)pJr_TH|JT>t?um1NlYET-(@DqctKRvMlkVCQOuGN+@BjDL z)o*t_vf2Ir^Y^(sGnNyTRuKHtrT^creQ&YT|NirH;wP9S0kKm!@$S zU}aHHP)~F302}+;8L+MtUX9lm+1lj>tr~PAfKB`CwryT|2ic}q)hxtDF}R`zaCD6~ zR;U0$w|q(z*cV8sD1iy2_p|`+ayU5W+W(Os20HD}FES!y4ijW(0sqDXBB~3~h?K($ zn-NT$WWE`wUhx{{Ter{sqWneUHUSWlGl26(N3+4a#}@C5bLr=`p?4NhtKo*E>}1!6 zSw#BJ3f?%!Ds1xn8ZT*4&QgJH2&;3=h>A?!@w`dn&o(5A&(a(p8PivdjwFxv3p(nj zadLb6(068rlB$rQqdvStR6%XWzJA^{nSv?0{L|}~{pXvjtlnC3g?H=b%q_DKJs4C0 ztGcv2+Qv2Nli3V|O4P9bLGO~3jQHxucpzWjH>g4G6``pw4qUW=#7VrT%~ZK|;?!$G z{EH_}aL|v4M6U@4FmAS0Q$R%fqY7GNYQA5sa5-f0ZJK}jwsHRVQjQbKd6>OX2thNM zx_zuNu`unE31{R_e5n3>NBcs4W_fCLp$K5E$)9zpXB7MCb3Bo2?{DkEiwADq-ZO)=`dXSPP~*1Ft51Q4!%5)SR>Q#*SJH25Ea zMRs;1^Ao0(S5OK?okeW%Rc#=>$l8(on-3e9(#5!)+_D}2_`Sdyor6;u9pby*&Qo`T z;URUf1)spsQ8xz_iry5?ULK9z->|lQpwl7O;0MtvxvFmlA$1uE@ryncO8*zRgh_*t zpBvX_3jXi@@L%FW5f0BSiuC9{t}_$Sf-1{0smQmcIqRz*R;yx#&riUEoZY%0ACDh8 z596o9%kCmaD&fQB{iNo_>Bi}}*_(Po%}PUv>9sxifh@V~m|sodx1*X)?XYjcTJ5`! zWYA__$nKJ`dfgrr@@#!!U^m@!sZ}$DB&QBru6OO7SKKZ&ZA7)mc2w(pt~Gmels!(P z74DB{m{2z~G}T>mWW=)_nx$Kph|S|dTCq67(`$3?+x7$wP~)Kn$gLBUgVEvV+~gY3 z)jjw%gi{?Lq9FI`{vPjxOD$csi}Z_+jv}-;^erv$v)aW!xFS-^P4(ojsMpOeOFi-L z4i%eD?5qyd?>s!qk|=KWl?maaqrqdG!XNW>)eQYM4WmO2bJ7o#gZ<@u4HFRo&GJ({ zEsneIFhgYg;cb!5QSEnHM6U)j(PW*RX_PkLA)#4#b%%3JC+g2xLM*GuL%r)&ftax| z*;?^S?<}Od`foqj>gT9b<0*Omu@mqdIGxIrZb;6IKVnoyPPUO>+$p-RrSOBFN<)#Z zVJ%mv%Lt>ap(ISIamPNW(cJb?h+4P(lBPMNC8Rrev^8ynF=FNH{CU}M2j2wqKB_D- zJ6@VuttaiwnRw%D;hu&BtMlgAY?%kvI@dlqgUJGL!ryUd_)2fXug zPM-(^0En7rt+zNhA8NO&#lhH9N;S0F(DyCYo8x_Jc=c;h=W7L*FZiX@7c$Xi#_N-8 zeWk(ceSDH;;AaQC%k)cmD$dv_Aj-AY?%~lSf&2jv4+7iz9=~3=6gXYAk{^z~4@Zfs z`pa?6OAMwj_=;lWR`c{)3@q>%ZRi8e^o44;= z%GiB#UFq=$6Sgy6Yw|U@(f7FN?ts`<4Z8>EDr(aHq(o5-p*c8<8KCkgVE;1^6jj^j zUwgY)SJURdNA2UM13%j{Snh$>yh?;g+3JOYcPk}p@Gyq(Y!o+C$eiQI9?AN=yP=(= ztw++sgz&THTss-46|(2z(=X&)X-GvaXqsNcHomJaR1TYN6A(Rtn%g`zjywOhhsMVeC+?I+SK4aS89R`Ai5-A3=&hP`|&xN%LL07%n zeFZp3h}u=c+xN7h_;9AZ-q<&jG_|mLqM8BN#|iw~supT6_U|&?;R6h-Gfcs7aLs=_ z`DizwTgzRpeZtQ7>+k8f1pwm#&H0yrw3;{EeAm@zVkaen_lCf@z4Clhpq&p|{dlis z{O>n=diN&HF2Bw#j)8;wi%w3f<9GSTL9EI;^5)F#kIyb)f1tv4Kp8smqciMrY!IHg zpj=GtHc^?a3b0wgd^vA^`HFkxKB@h7f8EV}dHK~7!Q%N)o=KdI)HjABX@1i39n=ij{*~_w z0P9aiCdI0aEVOEf!v}&T+e=V?o%pJh-X*H)hlW-?%HhZxvP*IL(wkZbIusG#x{DKS zF?lrb)$@Q*bNN^tMAdOE7AlxXa%j1ZYxJr_>iBtJJ>!~UD+k`xaX$YWXg8oqO3;4o zL3cgEdb5CUFY6j(EF%4}BTT{6w!}iQO<<#!{z|fBYz~*_ya|w_k)$pLm>=XxzL<0! zO)x2NFhu201jBOw*6nVe-`Oremy^rG7LbgDkwJk){mUPkyAJX>OZ_O8<+30FrGlNi3)CKF4d{7ar&9|>%v}$r6HX^`xV&eF(9+Ra1S|^9?G~9k zi|Ks|g@WpqS^SlYZsuEeGwt>GjKZ9lZt(h*SC1AX8vS=pUG2NBb7e7?j#nrvPRn>d zFDPa@MvDej5GK>9n$Zq-`9hnS*r4kd>Y}@IgDeDp>{%Dc?>ERzf{-5C^O@^3i(2DN9`@1B7G4m&F=8XqZmS!0Ut6Xx4Oo6C#kiG9hh8M0$H@&RM z6PlF={ie*?%AU-7YV9DD;c%!h(|qR*?vb7K@~WG!n)N6J$Hd%@L4CCg004h|`h4@~ zBe9n?eTvW~yo8``%^eO{b_axppnDX5@t!BbOFlQpobVy8d1U7+ZH_AS6L#`3Ab_Lp z4ZeWYbEHfg{dZD0$`Y;n-}|>9qQp+WA_E6)8hqt1!7?g0E+j>;9PVsLdL^irHR+se z;ta!J@g>Ovbk`)D%Rh2|&5Npjhsm7Y_#m8UKEsS&{AI?42OSho8R|IJ1}zB1F_D=! zj~h{_Zr`K{4CX=-m-ZOs@mDXfs+Gw&qW1+J@!aVSht-Lf=hnP>R)V^ngb-~{KFM)C zXu5&Ep7(Jt?~VQp8pqWcvnyXyWW(Jxv#3OKTD@CqK{I9@pKd)xL{H@pkY%nU|LII~%TEyliYu@J!QG`Y=51fi)%& z2I#B#L$uZKK=x0^tA*M9*spLz|GIq(2FUb!3;|ZFDWUn2#hgx7HD)9j$(eCQ039w> z#Tu>8cPP()b-MFs3J!)fMfi%LnYc>Z`)>yXFf~T8(L}&h6MX!|TF+-ZiwI=i8Ir>h zbHOy1R{fK9p*7;c73qD$VtQ(pXldUl;UkV1xBq;OA+{jgU&)@}o82c-o;Xk7gS+hc z*t4MS^W!)H=t=F62@Zi+)dHux=ME@+{Vewe zr(w~yQA!Ua^bDCj+8!!cQo+N$VmcqZz9}A5G0u?uPQUQ^v}c2(M4%XKFjf_T*H;#) zQSYjVSI_A&x#;@l4QtKY-W|$VXnYX>sYMfeM9Twk!Mn+w_L}#KOt8 zeYlz={cuQg`!3uPv7gxaj*cIOV6ksQ3-ZW#5Wp(s_`M?YpC!BJDTZ3uFMm;`cM6k! zB+Ghn>+^#1)RQeP%uitQIlA;6MKHb!tWiQjd8O`d25PcKaqNHdysb}bt~clK3D&GL zneMR14p@K1*&&-+C@b)Fg1=`ivE1*kcjZc4 zn3!uV2eql&pg_x$G-E?STWILn`fa_)?~S4dzwjq3JwN>v!C^Bx6h6D|J)ys|htF0G#%AFlF@Xl(3 zqd)u(xht3QNf_Yh%N~MAy?~kO(&fzfD<4#z;m+#N%d!RlWpnY} zL+r}Jyo^ehgirAA?Y_jt6N8O9yAOM~7~rNFv3tDxBq&&yF&SXzXa5~ za{lLOPwD)hp(ZG#2pIyRPp~a$2=w)hb7rm+BsiH(RbSg!DvqzTQ|$D!apwnI)bS5+ z%FnB>FpszqTDOe|={@A+*qb0OYN;Jj=fh>B^7cXC*eqOL>jx*|tS&mvg345Rp3i#+ zXW;MYwX(az`EUl>63@<=xWBYI{$945vAYB(C+~(he^T$~vcIKTFN7K@=w)iE@pWkN z4f888J4|;zV&5C@-kq{P-EHn(T{Hw@HDMn-LuhkWR(}H=jzYJqeB~n)XScnJnFy7O zIg-@&%)WKs{1sPEepi(DtgiIa03wVL@O%1RoHx6%+VOrHvE@uzKSv}Sn>>Aw-sYtv z$0f4JTL&3L?y2ruOl)1|q!YvziOU7IYo9w4%kl4l6Q)|if~kIGVB0E*nW8_mv>$S^ z<~vOWlRk&8c_)#_PUu>5qeN{1yFUD#0(sSI2|c^E$zeOQ>i4!s-LKKk4Y}TS`JcP3 zz8`G~)0{-ahSV_L;`{#C;3qd-G*DkM)NH40cFulx5%QjWg3K`xjK-q(4=*j6b#|goX?=J%3TDL34ekNg7 zX(l+i{K@(rNUdk^v$8&?1u?DXRdTD_auSZ9cNYs(j+CiS^5RT%r(G@|oy?8AF$hy@ za&?o7gni7Rl$_U){b+q7(8TTCUaZcXAAsfW@x&=yaFK}9C`9U=YNfQY7I0dHik`Kk zIRY6sNr!j(G{&sG#g#RvHw$&$Eje9l;PVr(VUq^17RjQ_cqZj|G?#?#kWp z!*L>134D7#8o8;ktMuESilTp$r+UD-4^?+lXFhpO_3xNYGv<4+3b6Eq zEo7%pU;ib@c7`sl_swYAO4h?W9$E!c4aco`Q2pf+iecof0EMG4+)y|h@ESh@97B{u z3y#NSCjuth9T*T7ub-W}s3Lg}dn5yf=DAdFONFx(5+fE_m@5AfjDwWo_m%Jih1O)G z4Ap&H^UT{4a=$zlB8|W_%gqP(oB;4=(s~<6W_-0Mt9V{)*{=EmsMnNs)0yhCOun56 z>ikfT5Ds4T%STHVTI7lldyKOv1whY!1EGB{`NwdQOC_S_7HU|9tCm%^FHf&dZhgucR}X&A##z|HGsh4%{=2?&zL zTLiqp?fI*{hSrFx13l1>Im56nbj(3`jBW?diRzLtiVZ>Ufctr*ZNsKNUXTjtU$Ey< zrcpF=-Nsa@!c$5R>UEr4vE4YTL#GQ$u6&G2R@vwBl&NercsFeI+?INIvps(p$-?`M zfkCC-&|3C)e+Iqr8qz4*RgLV9@ZcTp%xD8M{p4JV8Xo+-P(0R-g12x}8$HbIvP z%*0MaaB2t4%5-LpN4@qLO3HO;be<+^sH=QbMw&>s_6C1Kb(diUL^*(@Z0!+XZ|pVh z`lLLQ`$f}D6=(UI)|}H@f#bgW{=S^db~I4khD;doKI(v%|{weBs?DiOVO1WaOkpt;rKVv!xay z=xWEllBu>F*2_~2Zz%%v5GJ1cykhBVB-{LCs@T#|u(Og$Hb=447|fUq(YeGJ^_=-{ zhVZ!Xgz*__@x9iQrCF_!gmn6(<4BXZdayTz`^cQ1 z?d01&evd_C1Hy-KNCxHJ8H7x6=P~ZSutCHX0e~cq8<5q1wN{Fn)E9%BTWV88P;xgw z3qo+R$HZ2Bjo4U2enEeQSdmp6o#`Hz(F9+fnB@C2!Q^(pXMz2P`*!*Doz}8E9&+_Y z#z(~2KvBF!m!AcGNi-5k z1AHo(tBPpK~3gzR;_alTF)ByNWXHXph`J=(evjZ!spH>)FlxJm2gonk+EJZHcH`o+2~la4+?{bGSo7&q-6f+3^)!#O7SCd*z3N5C#V1fNv*qY_}#xNavfNYlS>jcCIk} zYFt0`md)#g@AvWe;(d!f?Did6fZoHwm{{TK(quEdmXJC$4lCDA$<;7q_uM-f?qm0P z5$E@vdTV#&01oN*ve0vj7RzNXe=S0q3o$RCg!?=bRR+Borp(7Qi3W4I`{ZkG0oGM! zDfMo9Ye0xO@dgo7$ z-oJs1l(Ey3KPR_Uc%DE%!ZKp8if$A+q!`0kyEnkFnIKk(*N)B}L~dORX6Mc{lb-%SU> zg7Z*kaCRr?(@OqFo-Pmke~Z3DkL5NBmSAP25>l$!#g~zFfF@XZBV|-JT_5eqkx8B4 z2q9>Ef&3IU@{go{RF<7^7N0N7irh+4I5XBxraf*0sxXK8TrumGR4IZEJYUj9+R=Cn zyFFAx%qQQ+yv)lqOmUcz+})q;;FCVLJn-?>h=0y|U}pFNLBgHd9`j57AVJD88t!=yfFk_x5qJKR5&uGy=}mQ_Ykdu}k%`$Ek3N_fm3yzk4O(H}{Su#lTxvw93`NF0 zCm*oHfE4{_BA6vg2+di83T$erod(WwZ4HiW&%ho2_ z2%7y2>ybfFeP_n)70S)3(`R^H8hO+*O`tx?9>BoQsV{lOR!_SXF&iR9+Gtf=T}*EI zyiw;?tv!Cad9M#f$*iFU6K(Ig7Q2r8LtKQ3or*?XcNs!NaXGcoa3P_g-9iam_UA83 zCh4v3p`#vp|7DRLy}b@~+b&u7ITfWhxt99~fsPv9Do%OjJt)%%uP=XMP8b3tUlrz5 z1<@S*n4f=zyb~cd6$DxWmTb?S%TPTWn)Q?yz9E6X9QUwoSRZkg6u=qGS--R2>wCx^ zz=J$-+*@6mZ$|*)8|YH+i}^j5$*O!QR@mTlhvtrvoL!??$D<;M`)TvVn>Zn&@}m!5 z>4#Z-;QuC)R?wG%VpIV=z_%I`|KAkY=*V?W}n`=97A%W5tc@E4_elu+)Hj}!S zV;lg=DDFQvrS8)_tbZ6;OC(oh=_8SEnH9R17|^I;xX9P44uZ8=zS6W#34W{cT0k&B zLPZQjFT?M7p6#;$FWL4YmKCAmxsli=b#>`9Y1k7h>^h~cu!u>mNAx>1rgREbpBIDZ z$S}btU%GC`EGfTw`)$^rO%5oD0L5qXk=tMKhR=;@zjVa_yXZgQw|*5*w1rp1^Sqz` zrH5TmA;dGrWbpXDmM2}D`*;=bUctf4X#Jsg2uIMP$!1zEDKYenK>IF#c@oXv2>w}U>`^D)f^y|?4eHiP_ zCucK)?^%7brRj<6{7a7w``z0pr_k__V>Y|Ault8k)ifP06Ofhip4oqYT9vJxj$XT` zj$*PP!{6;40J1+(FqRV?!uo#wtYS7yZxmW#iBYx(uM4T_TxrT!>~OGi-AH;r-b#a$W4Gd8|;kNN!y zK3iDQ;P;|nAfx0Ml+%k=xiY)T)h{?+t5yKicSg7_`ud*xdnn2GjXI5%`Ui^3-{-5l za;Z5LEa{;#b>QRT?cD@xy45MGJ;*AoW-^=zkrhVlg{-8?FE7nLDe)`+gTvt&WWAIfG(5%gXXpC+3j98_c$k z^WXmA%EbkWA$oeiHTD&~y5;(a_Km1n#-UC3UtkSKtx~9wo)reRdN8DEpJ!XrA+G^d>c2j@U`x2js1N0pc55iIRUSSV3RX z`B%@NXpBRfpTAHJ8I2)@MQp4GX4Lwg^kKq&eo-ELFgCFR_n6_t((&=lKzhQTX5-e} z;|R6m-{5Ko4e*DQNs|gNV$gU7_d`i2@@}s# zt8pVtKKCLrpID$jNwPj8hf-e8?hjix0$pyP)Oqa0ND@B;3=0xnJ%W_;NBxOeB0x9l zGh_1iPo5+M7kSfIv0A|1yP?7oVDm!|Ul7gALLx1~e4VOz)Jzo4i7OG_4GqtoLRU(t z(UO}6%F(X+4j2up$QDUaJ*XI%1AG?PxfNozyuSk{l-ZV=#Lzid#eDVXi{s$SDt(rD zDzkblT$(wm$?jz?m_J4fhM8CQb9tsO{}N}1F>s4ZX*Idj=)zNS;RMNKa4jxtIii~E zN6rhsX+Ty4dnY*}3!(2xj$G&unp`hiMgKbn?g3XM<_$lFL_3|Yr-6kg&~c+)%-HON z_a@&b|9BqEd4XmDnYC+-fV1{yhaqi!gh&odm!OiRO3Yot*+eY0Y}~onU*NFS#BFv@ zADyTAS5D?lyaSbnz3c-}V;llGKpGH|)BAi`LHcw$IeZDgV*W>lt3fu?4{=L(i@%Kv`+@$|Ip1Elk0Q(;xPUtX> zo4NSiH)An}dpcrxnQZTH1-jv*yvXY4yNbM@2b06~YH&fdxlChrgX^uQcepPlO3E4F zzYI^lCSL*%_m_bX(0K^RkcErO!fF-;&GymPU4MHW`sTIO8^74;GNnjGDGR3eY1|>K zL7a3uYTQ_Ck9_z+M$qGxo+=2@T{M+_z8_Y5>fUhoNW{d0&X(!@JvvRuH;A15{)9lx z>)(9`D*E?MX&T$$62|L31^Cf`T)9)u1$G{}qc-I03vb!VD*-^5b&aSXi4kDpBp`NVgM3BK>IUM9Dk-~ZIRF9Og7emV|GB&y*w z(O`Z4^#wm&H`#_Og8jY7?(S^uAl?i}ZMMhjS=>qIrDMUJb<#pVDU&7ka7Fm74p`cL ziw^^KOcxIK8Klt51pAaC;V&-A3Y&`&KlEQw|ACD9E7pvDA%U#4+WPY;S{qvnN-pX2 zO&=%!)z)k5cw;D%=PZAnJmlz1lSH3+hS>#b?(ONR^?eWIJ@R`Ber*gRlF!unr0dJ; zar}?p$?**-#hyOWWEiY>&hbj1qZy>%5;VBK&4W~l_<-<5#e811u}sG!jo!Q6=Z*kj zq;|c78}$IJ!7ZmtuyVTXB{yarLsGhdFCbx$ws1?Xfi?A{hj}F;y#t!FKn*-1AC^GM zu6n=cCPH{$I80u5-%hh1+DuoKyfm`!9Z*6YS4QeN8!;d)zncS3vzC~%Ntq3|Bg_Z7DTc8J92 z?o|{v#fX^%yf|@Ne#|QLj_uXkC{$9sb@SB98OERfee8zTERkBkzK8|#f;P|^c)kri z8Yx`*iR3S8*1n7HproXh{mC3&1)BX2et6iZo$Qzs06U|q0>N4eG9*CQ&)R1a)xGax z1}FB~aVn7TaMs~*Uxl8}py!xUmMaANHJf@>=Ir(`L*I41_&EZ@FQ+h5n@wlt^MC zOGD=*hhvMS;*T*Sk+i&>%YAnPX#&JgnTpKY10w3t8%ibs%{FBPWmc#eI!6qj0{I^K|6aq$I6VbMS#P z^ODHl#nTdCrSNgw7CIBmo|+rO$w+$1pfFBvlso8V^=YB<4j7XY`?WdsfMv!GhUl;F z^*#{ufMw_&fE_*_~eHJOqQka-lfCLG1l;lqYc2Ic*mQ z_n>^j{ynXGhmkoNDv#~W&tk3LZW*?UU(>i8Gn9?&%>VH{#$n5n$cHolYn^PLKNBHz zfvzAXkH4Im)ff7Z>^y4rm;$_^Jp~^PvA%x6{iyL{+Dh_}$aR+EB*aDFTxgSF!ax!J z3UHQB1jbyC*CCBoS5m({-DJ1hx0}|l zEQ{{tk3ViM4a6h|bHjm-DWZc4P? ztdG#&SyC@l{leNT8dR_0-co4wAuShtuz-vcZ^~^mK9Tj=(_j}_@&3sU;k5CNV(f^` z0wZDKmV40MLKr79mdP{wT*(c*m3;n?d5ZC9GJE{*KYQTMg8%+!5lug^>yT2C4_2Zg z7p?Dbz}m1_Ag3Ec6q6xL*nR#wnq7x;3&!nI@)2u_q${2itfMoO`~O_Y|EJ%Hce=Q+ z5P8QvQbyw~@a8 z?Z0tkrvLH3q5Qxu4A&&nPROwiKxwSJjmyh%Z+j1Q3eMuf^`3_)MTwKC3uxF@ALMZq zS%|a>FZMb-^U!_951WMw`XQ-r8Ocw!LErfrhFF7xx2GLdpB4IxQEgmD<)}y}hvFl_ zqaa`)ULB(+ef#T5U*IxnF_9g|S9y&<^^w}PpX4! zef;Cf9QJ?n>MN7q&L<(adiJkVwi(grRaXZ+;2Wx8=L7DRllSi(>$&!}NmgV(fh$A3 zLqmaH05XmLmxG_TR9pMlgwr~g=t`Wb#o`Z;u>YIy`;UiAgWf0PCPCyrNwNLs;uu=B za^T86?Td_F2H^O`TniYxPE2z9+%He~AEo%OBbNbjp!{pc{)KWKD-!uHyNJ>Cb#H*r zhu89pUZ&&G=1_hAaewp-KuEHTk;!%R#gP4Jk^OI<&(DqIe(lT-@g@+s>?Y6*fedZo zZhm_FM%pRyiSYbkcyV!zOfi8DPscP)yQ}{=3&MAUO!{BGhj(iSc_T0aXy-FHwaXc< zV-N*U>W^05&(KEAl>^)~<~`CnB4~p+VS+oO|3sDU{@VpLK>!g1_J{$G2v!c*B~DoJ z-T%e0{z7>bGM!%w^PKdCFrgQcn`Z$7>cMLmbV`d4h8uql*2EFUUX&TZ7)%^CHxq>W zm4Wy~AH_-3S?1q92X|nc!Pwv^!)`q(zN#1q#VKHkvJc-Jk)dV&^PW-f-w%{uF#n0! zm_Gc?KK*4U4O4^=xzs|<&(uu+LEG~m9{K-#HctB(`Z%ISd-8YO&s?dYK*$3*#B#o& z6nApM>@~3PSyqpzncyuy|NCd(z?==OEk<+D^SQ?@HokLv2WAR0IVf|l6=t{{`ezk5 z?46CV>yMr)^M8C6{p<6r-1(9q466kREdT%GyI1edvqxU`@HY)Be-RF&c9S(;fBpRw z)(ei5i;<{iu@;Fh`noRu^tkA^%l1QAqpC8DDS#NOkX{?Qfj0B?vt=t=Z?EXcmqb%tD4I-qjMxDZCPT@F)w1 zj0JF|=QJ3T18(P^u*3Z8C$maDn<*eeKe{W`d~Su$Mrg;C+f{5XFDh|E{-D9URQbWT zH64HBYU92IHxf^Ocdq}_wnw^ekn#SSItpH1U=8k}Al-aJ{)j_;HJ}r zj?hT;>>|egsMdB@#w;p>hIkNN)&O#fXOf&teOwQ_#HwGpg~-C%0?dFh&;uc&SBj@r zh~B#M!7N#WNFAGX0R%A+)GoCo0ke*6AY5FkecH2nV0`x{eLO>1JoL3#s{|MzyR(y! zcmKi24&$@@K@I^=%a5lrHeL_Cbc_!zUV6gaGv@Vp0%ynzoca?m@PbtMS!w;sr-6M3fAj_7j=v z{21^Q;>vQ-%FB}S)3P4ds_?BFKM4fF<5}(&^9|3qE`^)|2_ptPR#mbhR zgUAC1JsC6=DEi~BEL2P#Y8H!SmMl0_hcE~*mPdK7|S9B6J2F=Ic1AiitS-_|Ux#~b# z0uN#c;$PU)GzkZWz^-l3+7FM;9ka(4Ad}B!;p;74~EWv zZtz!HI4KN!RQzf(K!WM?l1?R4*H7yZtWqB634FR)tMH^B zJDZb;XD_1Xr@Y%8Z-NVI1jq)suyt&F?bKT~a#?l~qO4b`+FZ}`ELiyzh>iL^-?+!2 z0$tsE6+klGP;%&`_?=WcBOgvlQQ14@$xY^Uz<8kAOB6bVNIV%oiwY#QbzZ)<5w&)q zY@HXJ7sePOz;2X09-|SwH_``YLeP+snov&qos3DaUw=PBNNbYz0=LOaguC@cmrLV^ z`Z1l_8*3j$wY3m-^DEriaSI*qeW_jB0Bv@D85em!tjg>CLNBngF3go5u9FX9HR;-_ zxo-|%cC?;`C<34g2(T+*pIt@MV9#|n%)dvGF5ET;rB)O4{a#CE@jL>(D#EbdsgxD4dU(j=jkArx78$j;92;CDDfQ>aFyfxP zi3LxQ?CEP#f_mCtGak8k__g1%hp(( zkUWY<5L4o!Tke+!cn*lnfm@#d{IUDt9KN74cu_95b72#bua_e7_kT0N>9pI2eTG2e z>x#W*O*zQG9at#eZ+>YzIjm*xCMx*nr=e;lfQfrIVt;Q{~&N@xRL z3+_%jknasiNr5YFxi>OK)Yy^5$9c^zM-fp?y-X)m^pB49y{VKb-N$I1ie7CcO8oux z&yVH1aIvianB(RIfTq#ZB-(3SYZJA%1Hk9BVCPL}tnQiz@#}g3)hz z58c*$rjk3#SF4w)H#TxGml*dL@wM?qLe{l`=Ns)2;oLH>QG1+>6=Lj9ElqcLV7-oV z9g*sn_aL94qF%c3)||-Pyjt#FnH6yH&}GNM(n--9=&{QcE?@7xm>tPO`Sx>6`Avvi zc9M`y=62>$*GcOi-Uo?K7%v@5O?PJKG9!;!s{XRG0@*`MKq7r4Fk zhlJFh4+jmU1Ev8$t!|?lZC?qM+V28L8Tjbv(ut?HE*z-B?q~I4oiC~b_J0Z{(ILRe zl?lBr@ZYw*_DzZ@8~4T{v0~2X6&g8lII~xS^H*~%{%NUlq6^$`!@Y-eK_Qpz$#dU6;zASpw33_8vL7_(t zGeE@Nv89!+mfgC55Pez)Wa#VFx1N#y{oYM_2VDeD;z<(I_DwgvF-EusW z@Bo3CWPRbTD3C`W9%l&Gr3V}DGUv|lTSUAhY|pL6yA>sbFbEytH6cPWOW69&#?g<^ zSvo_JIEHv*om`UiEt6&{YZvjD`rghV1VlVJoxjwEN{H#puZ!1tN52*L#2ZHx>lGanmjbA3F7QjbHdvH^rtwtNV zIYF$-+o@cNcuvOt^EN8{wV%KD#Hz~Ipy|T+(|T58 z&f2Lp{F;>-rnAuVvFKtYE`j*S6&vQ;3x zAdQrO?j!DA=w^b;NV8A!!+%f4&YZ=Tq-Y!os7J0TT5fM|?e>H-IE?y}v!s7(QF({*|W07YAJ$33HD@PF7{hy4}@{3GTpr3aU*HH(DtOjRqqoD=^otTq;Fy3Z3h+CTc zK-H~}G0$HI1$;2FBH!(9_xh^4k%RG(THqX??>H?--?x9cF&pFKcjT+L*rrbDf}0wb zb6kP5->a*RNJZ2E^A47?S!h3i>@pX-P2?!r69@Ki*@o9GTsQ5sfc4`Qd-?%15pJ2^ zAntoTY@pj(uvwu7>+`#z6|)ELx&&s#3a&o#$0-Km$G=ZiMt?$BK_j)59~(Z>kl(@% z!HO2*e);XO)5{|adyjayU1ZibIvV=F>}@W}$IFqsiK>TzUxkDCh0HrOco#UHd)=($ zk34g`QF~sCm8&^d4iIqA=|g*lw;gVJXbC@uJt|kB@k|B2{M8Imib;`g=K=HX_U<*j zlYu?{Rv*ky8Pfjw5*~NrQZ4}hIle(!b#0$J>vKEeeUIWtG4wr8$Iuw@#~X>Ei}yUV z0)Zo3s?r>$2v#hDSB279=4h4ddr#X}9~ak~Uvly}$%cCpn)k53*znOvxOpVSlgl>T zBSwLH{a%iIa-{8`pU;)_)WX&SCx(Kyz4wFl(1OcTZ*}HFw9~?gSp@Kps|K&xN0?lG zCZLr=6E)TGCE^nt1j0QVmf3=8&op4x%2@&lm&-d1Zjhr{;MB$;wnmTN*7~0}`VwL< zt@xS37L|ORBTBI8iuOT;O8!8Y#yTL2b?Nps)R9-L1mTeYBA;z>M{G8`r&&j%Q2V*L z8cPh=Lbx8nWw)zI-<(naGY)Sm2+aR_@u(vpAgn#E2Dm-A6nS+*2WI3Cvh_(I3~kl8 zyj+M!mjs9~GB+xij}2s+yRahdq7IKa@3sL%gl7adoXe(XgFVxhU7a_) zqD|fI>*GOC%oth%X(1kpzCj7R-TFQ9%jMo4K|usZeUOCed<3T@Rt{dj7oT9GXQ%B} z9szZM5Ob_i=fR*yKkl1i;V2N6vfS8Booq+^9!hcB!D<7hBTPZ?GYR+m`|UFAfvffb zaMe8(;QRLeD)EQibB>6qw2wa)LW1K1A3+U zh(ivCRojh-1N7ZJYFg> zMk>l>O0~j%;+MTkLY391#J5jI1m!`jKLwN!z0`>#FtNgnU%xSXnfiVt-vVPpfP#I0Y8cSrY5Niiyy&hqE}y42{* zMja94_YutR-hC)hou`pZX+~-Aj!}pu279m4f(N{TMsquU_vhma&c0h?anp%B{fTPa zn`Pro^V^!^4Q=WJx<~jI5gY%fr;LT|rcokrjt2E|Sv%BV4vup1NvIPSRxwp4&c`#S zhJ4HUlwJq^_D|zTm&Ul))0qyf*2*cc8+1;gVJ<{ zVPZzBxnB+TL*mKyHisEo7b(+}0d9aL#h!&EZP7#q9%Rzc2PX;GGJ6zPj5k<`R1pMv zJr>N3dz>AXgk3mrMPpeNwFjP7QZ}9%uGT+#bifVFi{*Z|14#cG-Hx;g#m|1o%j+$S zEv`=hYBcl=Be^CTbmvu2u8c^<KcLi-Jtv zZQM`mEc%IFFZe-Gf|-a{`y+8`doTF8Hp{-4++K=o_ zc)eBu=;H^o<^keo&M1k00mpb!Q1C3Oj{+L%rxKNyR#%WrPIR{$>_k#i&aYEcZ|Yl< zXJ}pUOo}zo(0~upg1lefu~mNpU?#&$ajG7{QqwgTdMYq|8fvSR4K*h^DYx|85-Vu|x}>{lzn(^*pl}Srai@%tyQ+1WrN)L4PdaSWg=#*x+a=AuliTp_gb3 zz4OQ2>mXhO_G-?h@s1wKr@)14IwAz{#HLwj?zqu)~NuiSCIq;G#E1I5W9(hx{c^92Wq6C%s*y0zsMNwT&1V zR;7qGjf+k$lgq(7eLkI=?TjmmV5bMeME}oyR}@uJ^X7v3w8@FQUlX9u^q=H7*>iZU zbc7v?C)A!FdAe%gJoZIzE_uIpS5JLwmuJ>W2IJ%f-6cMJ=c86l~ z`aE0F7rP9TLi{SXt%HUmW3OHh@IpXaaUdM#k4w3C0^15|Gb`ByC&?9&8MMWvHUrWG zKTO`x#HKIzJiox}$rdOL*!p>vC7UHw1i-*!eMA)jEvA9G<9--GAq_h#K7GqmNi>hS z0{1L+DRL@10DkpN)QN;EwB8i^A7qfHJUc#FYhYj}`Avh7B~2(7?eK-DK_#K3p&l%U z>NRe3bqj}SeK%vn=fGm!MdrPAlaG#OVEFc&?|T8v`6|CB00eJjuJJ9UKKCtxOWK7v z=3TVex4X6G*b&-Q(h{xt4)lR|97`1a>t?zZ;}b9J=H4*EQ(N}W#wH9x#WG;rggvr4T30xEMH(g=NA#WH6niHC zmjLrqneTW0=ZQJ{*W*oU7fh0fsT?tb>3~T1QWwmUpWofr%)7(AH$p!VS0eV?FGV(FJ`5;+> z0fj54SGB>RFZMVo4V%)D^UK6s7qO0H|dVulKFV8Wk`p^C4Ah)=a0diwy&2dOO@%VY?TTiUOE4g#d`_fOpGPEbB(9_@A?Kp zbsa9W!gOV-k>}eJ`Hbqy{Sc?eCml|lHI?&)(eN8Z=5L8>h@%_{>>3{zBuxr>Z(Ax#_}J20P`+4f=GJ!Mg)a@H$5nzO%M_Z8YevVmn_88|SC| zxRdhT3%X{+`%fo`OV65*+J;*q4_H6Ah#RRH`0tZ;Jc27fIlpT`B_K*81B8=^yWdOkD|i4G5d3 z4$r?1Fycsu04`Fta3O$cF456DxHhfk{sQ!z!!-K z41PNCktr>o&i%jS^!aqPwyAr4vM3cXe#S_7FFK2-@TsNDh>Lq(3?c=_C$Gb4)nZg% zm38e;B@1C~91>47$In+|cV=hXTeZXU1$e(N!Q@CiHlw_r9_MceHSpH`I_~+Bauaw& zCT6~LY3z^Ty(p%QIFDk9-TuBd!0S*B%1gKx2qDjBT1s)$lx+x z*-?VBN1N7VQiS+RtVDC3Fo49XAE@{fEa`{KyX6c#tnY#qfD|XaANn!b-Evg%5y} zUoZBvV~96Pxr}Kmjf3As`+x3>)wUoN-se`+1 zdHS2WUIOMa`6OmgQr#)Y>)W>pjH}!^@5h>&=jDjEhRCBif3DxTgJW?yM=EBeCYU4b zNF(BZs!qURj+U0-HlBGJC!l{1H#*F~l;JB4bQ7FGuiF z>fNk@EHi8rMG(SDhNPUiX1;&PDix!j4(H~{ZRPR%d>w9zKNLj?KpesW%jYn^4)^T* zddYdDrV_o-{0GyFoAEs}K8>uaGrevI4v*vW#oCxnRpp*g%nO$i7UF` z@Hvdm^l&?q*1m6-j4_v7cqf;6)#vzR+0$2$a}u}&u~_I7b%<3TWm$gQHxozpHTj1b zm&1hi`v=&D!x#aQSYAiMbLl<^u7GFdhil&e&lg$vTQDj4=vr<^HTTF!B7XYBh>Bdforz>Rdw0Ro`{XiY*5so%xs zyW8HU~t0#22Q z{L2I6utxL6D6ktphHe^YB=zCl?D=4{FPuZ#IXOl%RTH)1Wgq)jYqvB1@Q^x3VuG0(8v9;d)s4+C%N?3rB{ zwiQw#f1E=6x*wC#9{eaWj+e63Gw#jy(pO?y$jikC{8m z0XGM5Y0)K$kFOM>ZO0a*`8*=w|H-;vou1AmlP<7AHek1V=i)q3mGKIQui!G@N`<`J z9?oIZ{p_^LZlG}ae|G7Om~-*&_RuzO?ZjTF{r6^PG2ViFquoEW#e^3L_O?O@ul?uj z40NoE$xf*d3T$ba+x=AZmESKA4@6ywCM7s`tUZ827nV=6J9gGO(mgok-VJ9!*_W( zXs3nkwRt%8_e!+)!{7~@BpjoR%3L-Ik}4dQC(;n+Ag)5`rbkpPM)~(e9Agl_y{Rh% zN^GyPtgUPlhX*@9EC@}jUr5vUxDWU@8w|K-JL|K1)u2H39{SJy2Y{kwTzSs!)%6{e z4*9(|N70zK3Lcw@tqNd^e-!-TUkqh_i;XV(!Lr(p2Cs|0Vw1P3pR104#TNDPP{I4k zIlIgAX`+<3sF0c~1}magiroTbfy@GXr!dC2F1c10om(rhoQFM;`9JrFzsyp8=K7!l zTC}>d1}#<$jv3>55Iy!`7#PE!@w@(dY(jz(Q;&iUI{*2a6S2DuZ8 zkdqn}?2n$W>>0QovsIA$X`ZVZXC%J)2(47Q;3A(y>YkO>`z!Ofuqw4twG(!l)8eA#S>m%h5r$MIM=C(U{zoWi{UOnpHvp5Gsc zNSZAf+~oqPr>8NEE=)-GUb&o8CpqL{w_E!9N$kOlfei3dl$g-VZu(PZ$Zf?GWwdyW zv9&9qyu7xrEu*j|3KpwEfKC>~tOeor_I5^3!{G}Kq(F=3G3r4|K3%l{UEEDoanRHRr}72Yd{I&^ky*q1AYW+Y&E{JRMG6N-eN8c*o^JN$zm>|VvF`;UcfXX!F)jt@3> z=`w)xF1VB272P@~SI9k%&DPQywoLJBw$gV^FSqQqDjbBLw^6x}RV93kA{>qO`kUQD zplVRv;#G+imw=a+hJ(OvC7fWnTGnZT4f<us(6 z*_a-O_gkYhoIa(0{2E$bwY!fG4E&{ng8=*W1(6El6MR=>+~j0qs9}ME;U``s86tVk<(A zN|=B4K7!%Xy~m7qJ`s#dcG!6g)81RWcYkz zA41iL`uJ&>frN<;L&TAm9hw(unn}=a6~DxSw$caQyiU*5?#_D2O%R;r>)t zUWd&C_2i||!`)#H2`mC~!2*=CbIA*<{|)>p#zf%}ca^Vpx)f(>+dqg}bgmMDmRpOV zbkSwI6lDkbBw8`;$*E4MD zuWvC|0&#=KpS%3$Q2YD4;) zPW^8XA&t+-*7rWPw|b^x)QX&X`ne~p*ePHb!8wrAznyCeEv)LJzfKxv<)#S!>MM|( zfPw{r&QsQ6HS!jPkWej7O-3$=B&<}16Z4ia#vZr(Duqf@}UJ zl{M+(l_|PHx)2&&U~|J9%*FrQYs?ylgV*BC{csNCy9W;Ku^I zfPoJE%Zv|hZm_9)&M6hzAMv|(+%cD~Q4U?#0mdmqlTbAw%xZ`*Z}M96p#IW1vRd+M zfiF^_ciz4c`FqXpQE8{)N{Cksiuv0I5t0QSm?J(c388(@NcSX{Mx3gjS)N=PIjK#061G9g3`BGK2s zvCs8z_ZzQpTMLhZHM3*eb^>e7IY#dS%9}jy({bYhBk>AMV1SDspXdt@t`!zok4cqJ zd+Y!qASWg8isx%HEIglSoe2F~0;a+ED27Nsb!WS;=g zHDwUwt@I$(KN1Bvp-f+WK7QnLF3wiGSa@QA8Q<_m3$h&SH-W*Mn66_X&Ts~*$Q0CL z+mjo(<6+O$&?Sa)jA?hJ?YDu~}2JK1Mzq6zKV*(5JS9@>?sMZ&2$nnIxmZdS({CcDPNCZ5!_;_B8sWFqX3 zW{J@g#lhLN%8DS{-J>A_d**twj|zG@=ip0-TOwlXgz^2->z8`@U8eft87d{>z_{2} zjz}i`M=3=jo8VWe4gPh=pD0lQ@CjHVYsvaZbZ7{G8ROouvw`~se!(1vK zt!>fJ|9)Ta&(Fg@zb_enBmT${L^l!W>%YIxKoqaJAMMMh{O^zd@ltqv4zZ#`NAc4B z&)56(wy014pU=mupi0cs-`l^w{`dRUJ^5MeexJer`dla9;XhxC``&*HkYoPu&voYg z=X>c6U=&ZOYxJ-0hbso(c>4m7H|fjuKVLU|0RR2H=3VidiVvQ(+x6cc_a1^7d~2=$ z`aY7cXG120(|!D(?-}_x9T2Hihffy;|Nd_u4qedq3`i=y7f$srg1-Q2q-?k2$FCq1BX5}wekRo%na8Bq~ycQ+9FZLlK@OIff^+?Z|D|NDDByw zhXL`sQ-V0v95cwj^lBRvM9Y9uB@k^Y+^(R-J$zqVCdejmQO&AI8g5_rX{>N6M+`~0 zn&lfA=P>UeJjMvKvDNCi3s-fpSp@nqIm_|TSse~Q&@1{>256Rt{F>A9p^QwmM&4@& z%iij2{BCnD1SS#FZ!4>o2WKY1{$dc`qc_dpA$i~8w4Sad_^89hp)U^LBMWv268pNV zU^=bc)3@<{=;C{DY~AGE|CJ!iKx$Q;!-}KO`)wS(K9tX!)FsjG zy~~0Q;6*04diKDYrH4`v$U_=OgT`4K)Yp1`2Jh*5cCVuA7MNO6Zr^iuP+ImF<#;c; zwInLKDWtHIZ0TGA97pI#PM(ENXSmncDoPBDOvY=Ol4K(5CAB~Wrw6K0_x|vjxO?`< zLyjiGfC7{><{k78jBGL1NEl2dBVK zLOshpzb_oyQ%|6S!{UO727Xs<&E>uj5qoy*%)A9ajdv$NRVrmD;*vh-Z|TeuAmgdjp~(KFlU61`((Iq-3Uy zEMUkWYs4G^eQUOgO45+=uP39j*B!)?@$T+lz*8y~4C&SQR8n;<`vai2&AG^PaUZTC zV6u`^30NHV2y{~&b+3`DL2d8*9*5JBrWe`J#Hm1PBnXbO|C=c7hkK}B)$bx@&xM4< z_W2YLuNmU>z3SJ4{z5BsdP&#fgvt~F>LEQckXbQ>_2t#{3TtwfVU1%fM9y0k$C4!? z8-L$RL9eWZ|Dq>*hio8DYXFo{LudZ=Jg;wKf8J|@A_hgA9$X+RBrc%93b8fmN>*TVTjImj>`ywahf&IFEnjV z%aqUY!ufz-_Ul{uip3{H`JBv4PBh&|WYzwWm7XDOR%5^Rr4z?_3DiCEe+0u~Ugnn% zWNNxS*8J^X?|1+A%z1(hV5RU{Jd7A_tHff(L{;->tb-BQ?zpr^RvmANcGzyDDDgWc z+IY0BaGZ>xs^)GM$hfZq{*`Z=QOeVcbf83^DLmLLaP$DzreouEazWv2w$pjPRSUR- z_xwf1@7wdj4DQkU{*KHk{hsb04RmM!vJTm_`?>uRT;`}S599E`5HkyCrmj+ry2mhqcM>1?_^_KtEW zv+~zIF^yf;(tN)lJy{j(K@Bf4?2LY4;Bm?+KnyBni;hzd%BU(1eMzaKLDQyit~eP& zxvPM|tz%xa`2|{RDY#5c6(d8lEo*N@+&bXHQjJ>(bk zvpEw&{b;8TxE8PMJ&H(M@G!!@z)!8Q+ijr!h=fGt?i-lvHfUsbOv%_7X9Nx;;V1j+ zM>|_y;zA^I{@4U$;m=5C%eqa&XDQ3LPVhHhesRq`#pqQO{P;03QGIVOdzm9#ypI77 zBA>r3ulx_WZ%*rl82xs7^q^8{2|n<6J3e(5C3bHFjZ#YcJ-+X5t;<}%JP)2{@p{{c zRT6|}QKjFv!j?n*nw!nuq;-eB*|q=$c8$_!g1p!H8}>H!zF|2`sWLlDhN5EEtKUAh zME{;UgK+AV#r8p0xV?Sd!jsWjO$*gr^u(1y-q)gz8V}DrAPsmEdn!KZ_GQ`GV*oc2 zw3}fr0e89Y--y&x^*LFgu5}^)v&nbAX63Gd3AtSX(i4)0S#vL@n*wU@qxe&NV$tBz z3YnT1g}x`CLml(ZvH=hC$L^8?DEsYm`}{zx^|HURd}2i!c*Ct-eUAKD&FlaUhFcU4 z>$dw5;@ow&@1rT>6Z17Q{N#6Hk{m{@$+DL)-WnRr2}BI9M+IFJf_QgxGe{;C0GyiN z0&>15#-+czx7lJ0he1aMIuNryz?tDZWX`cXopBAJ|*&6a&&!7Vpum{5t9yX zh1u1$!a1na<*z^J=P;7gH?*?Cw|YSz3F{qAADDJ4OW(NAQ&8I8CL|sO}GBKF}cv7p7y+Y_Y*7(Kspy z9%G63v8{ayy-paD7+$mJo6bCB*so2Z&Gp_23QR`tn*{;V;UzxdFnFykm759j+&@)r{%S;Vrpv* z2y}9Ghp>$ILm#yCtKp*vb3{B>Q*z7?->m7qJ-Iiow47dQN}q7J`V70+sJpM|K_pd1 z(@1Ih@seXlbXV|x3wx|>Qn@NOIMJ|zB*e((o%f7|%| zs$m}_^$J}Op?r8fD*wcdghwE-kL=ITE>$+UyfriDUr9^rXP@H>7L8U%I}U#Fj&Hdr zp#X)QcDK^QlJ%#M#&jRM^v6}J9-9VH?l6>~5A8Bp=B=856t*sTM{LCQMSZY z|K1jNFFySrBGkPI4D&hAo2-2?mLp!FP6@pp!NQ9k+2-!&8Bf~Vq?aq~+jRDy?LhN~ z_`a@~vd0A^sPPDbq1Vd;Aoa{;#xAOe_ALLv$t(p!(lIIOgHOTlWh@+lSP7zLwoaK+ z+Ki!CH-2J#oqIvZyKNMO&{0W~aEycKHN?gTu_luIk310MVv(587~Fjg4Y>YV<+3{f zXxAjKZ|L-C$ z+&vfWe0U8VLp-|riAlH-2pHSDoh$i(;@_s!QD%n3&dG~$imq=Pxh~vOgsz72sNu~2 z0F>{lB&RNJmRcA1uehe-=G$xhz1g76H}uku*q%t3^~Ke#Je26zSjKp2-XQQsF9dbf@j!%0h#aFqYyhR#I5t)PoUh{lv^Z`Ol*UO4q z61 z*3Tdwr%_-9*~;5FkWNN+EA2i$zx|8VShou*2GT)x)mJ(myN)#^U&`EI885u7{pJN1 zq`8oakdO=O*5=_#9LbX=erGI^djSiWs0QPgIKVl8h)OAEUaZxv zVtO8k80`sl$}g6J?1~ajL2|H-@YjS0^o2B(U-&i9kU+WNcEgY(Iga-gphopM)#OcT z#~AtBm%fZFSRYHelU?UQ?18xV7uIU3?1S_^1@rFFRc*ZQa6%&PPi1T4mc%~(Li%=? z73K6OACVJFck_0JUCb38bp9a;e|a;%vqR2QA!!PD>X3~*d=aay*!tX6bzY!G^$(k> zQ@3Ao68pNRu|Vt|_N5-KCvQtG|$ux!R1MW|%M&yM**A6ETF< z51;L^Ffm4+b_W;N$TdH;#&`&Q~{;Bd-WqY>Eb-SW6u?C80XBS`ID7NFM%n>!won^;k(GiDHYu! zr>WXm!X`i9`76&ItVR%wF8PVYC}69QbxPmtho*K9WqR(>^F#|)kBki_K)oI{T7^9R~IXG(agse`@vh>Flr>{`OCuFkLp;d$b3!9flE z^2+_qZ8brANBy>w+F|{jR(!^BH^YP_D^wL;8&qj++)NOuIy86lnu2?WU7L~Wa!Vg8 zR=n@I@9*WP^_d{w<7gZfXo(V;69S8q5#em`nvc1N+9AH^XW|`FL_0npeRIAl2|cr> zNU&kr%EbH8@H%mnGV|hcU#GRBuR$mU1jNKe6N8w07d`(==O;j9o9@T* zVO~p|zw_T1rbg>#1cWC?;(VJHT|wbMeEFvSey1>SeiAtq$=A{DS?QRO@?DrOc{pX< zO3ssr$7Y`ThH!+^7p|%qhyLSz&{D!b9iSc zx{G+7jWmvI4Bxr9G$gf+lKT0*CLm%IGM<~f-e5%L2VMyz5yGZgMn|`#+J3_C0kFlx zf`rm%mj}2GpM+KD@X&NuQq z1|sq0ZyWGJ66S{QnF1o>-siX=_aw=;lu3l%$uum23u3xvlwZffzEZ!X zt@gdXd10%V1%33O#q(xt4>8l3A2UOwdAEJ5RSOhc^;+NQlN+>>hLPW}8$ML`ZPNW9 zFVp#F2EK*DQNhbwAc3>GMS%UqTG&#L0({aq<$~jGuG{7Gt^ppD)4PD~tVRO$F3NRfh?AdtiJ=I%`R~KAz;>BYV`ym7Peqkkx8{kPYGWQeB{I5_jLV;WC)l3pxknnL5SGTPx z2mo9!(agcVXk)xjvK+gymaGpahIm0K$B>s2NU{+_%d81*7bVz_e|5U&cOwNizwHoJ zZ{Bf2J5|4J*K?VuU)v|gnGkd^P#(h3h}~x~ozqUB0ds&Tp=lvAL4>S4w?$~!fu#OO z>{UYk%s#A`J2Qvr`()RH6dz{6*byuFJWIrPzn|2cAoJU{*=OErYl90HB3<;UOui6r z*!vypHWgk`vNJ>}bfI3Tz8MoW9HOLL4;Ixnd$<^8w0YU4_66=T>)i>0@X_N$|jZvOFR zdj(fMWj7e-aeq}$PmdOOPDayp_ll^y#v3)V1UdrEhh=A;{$_W3eqY>|@Cmx#`L%?` z6JtI^wb7%l9>^)Y&gavqSay!Q8mC>R&np+V=?VLk65Pd_!8h!ex#Azg8wX9jMdj7J zl0qP|xFzLJhtHOc|6aaV>B-S4VuTgiV2{5){|Q5OGKPVtDD)M2ZGt1a5Oiw12{FD? zPcsq3_h+o}sP%AS*(9X}bp>zV+4q?TSxAVDPixGf_TF$seY|K&ZapA;uOBO`FzbKx z?)Gr@+!=5*qTJ3C@_kY$%z6(@pfJYJ+CTo_HYJs(}3 z>%PK5X{Rq6@UH>-gS8c+f!qTAD(oFW%Xu+2yQNx$x=$DXOa z&ZBgE$XO0eZGuNs{?wg2WuBLTq?alt5YwFY9}%`=PP4T6?2hppgXHrKC(80WYx9Et zefNib`bZtMaB(l^d-ADTcgs2E#HKOg z+i&rYz3QjWEAXT7SS2qI_`;N}y!l4_?sEeNF}S%eyhJcDaGiIk6$IqH?0U>e3|$#v zUC8@BZR1LUD?Zc1Y<>6pkAInSpJ?keZk=AB)Wcivcr(L4xWD;(uUVvC_b!ZyJMix9 zZ<06qEMA*CTpkZwo~hXJfVY{x>iu<>N_Fg!+J_aV)1w2qmp4806PAh(9@>v(f|tdJ zZhuy98c6s6k2zh%el`S*IPqJyn=!LnlyT41>DKnEj{-88vv*Op4ol8BhL0E<94w+i z1i~&T&yUf*^RPdOJpW$kRQ;>yG!H5QKch5|XRv6*2G_WPa_7vleVoJFBbtjCQUx)= zkG6hzEq4?(v=?cAwuX{mH(7IksF*l<_rQv!L@}eT;j$WkeEne3+GDmAIw+pG;(6O% zYlMSEhuYv_C;cYuWD@KmA4lkE{KK75-XY~)>v8)0%y~i*Rm<|=S9afnWBrW(>@;ypags9LWU3GW(7#8D32Y3XdFe#X56KQTJ=A0}u7&MkDI z%attY>`Bg9Pj{HoIawgSFy3}AfV5ECu0EAXWK6NSPUymw?|>g>nC>N2%GHEl4ar(l zw*><+8wu0O7yYF6yT05TT^xajp<`NMw9k&5UAy>Pi(8f8(!Xjvn^-vx*`)u*zzAR= zGTELO;9hRQ6AHlfc_F*Q>44pH_IdVrR?`qi^ZokNeoTGqxP5 zep{|t&dh=H^b+aDXBR)NLf7G`QgXyQIow?YfhBTT}2s2ee4jOLOP_ zpKSC4Z0b39*Yg37UFFKadc^1po7WF=;YzHVRSfcNQwn1%217UaXz!(@)%__o68a&(E8Cw8WvT;T~UR%u3wAbo{;D9zS*E*qi=;YFZlMT`0qsuzs2 zW5buFD~wQsTyx@k8O)m9ApqIEyx}(7Y#E}OO`32gdvLi#J+1V{g~sqkSG#ktHSHcn zJ{R!u4lYIb@Fx8|M@}eggR8Yed2p3-f%Hf!;1}xZ_!W3ZH1#wz?S#N#ef*80St963 zOkg15K9qhXT!h*5p9}*2-wcpGh#o)}`1)tN+H@v;si$q>tbu11Dpev(47i8CIKn#p zW#0jQ778EKpgljGbd4SQ^VbdQa0Ytmglhg+LdT*U-Wrs=M~)Azz4rFpVe(Pux6gE9 zt~jZ(1OhM)!#3XdsP3QV7X;o$UHf^dT%+jTI^e*W zDtn1hIJdyKitg1ux=wtXev8Qis)MNfM!QF6JpGj21ki8=i8aPoqu>+B=@TM&4+YZ zoH;H($u6NmK3%hjK`RbYYw1FWZLrJCc#F}fH zk{0rsQ&FURjQKN8M#VuRO_)`0r_bqEe%Nz;bWgEAp>ZK(b*T(?3t31q2<&>v;Wx{v zB)k*EUidpO$(luxjt9`o@+Rg3KCk5MyLcK|%8G{poEFbDyU6z`uY&Z9e=JR>t<7Cw zCVML_x5PcX!9~!felf%G>kf|)cLuhsVQ8=3S}h&7QJ9DKMvTX(PY~})#PUo+G7oZi(=Tc~nn_YRvYxkZ6-uz^DEUHj4 zW>2wqa8uFd$X%0}DFK*5qf{@7mKr#Esnj)-Q{q~|C-#;Mi z7~UWQ*T$Up_SymB2M;i5Xn2OVm*X*f5ohc(o@g^P zObi%O16AA(a|$3W>aEZ{!0MmI_8#wZkfe1fI3xJ(4Ne{etyS07o`x)vV^8{KXT01f z6>Ob9;)&SaIm;#@(5OOofH19SA4b2fI}8VjYxhmLc80+DrboD-t4&x)*}IiuWWUcI-xAn%7wJI^n25eA!3xxt<^Qvtb@z zI&*5_#v0k#$~4#?w@vz>YrB2p&sU%V!q*_RZe0wI@Isx5uXQ}{qX3RPqCA)Ob0eAk z4QvzR=>&{+(-pzl8pOv5)-uoC^jNCdS$`N&HA7`| zdA<80m!y00zFotFIup@kYNturKbW3w;AJ z`ar2?=e)@EL0TzogE>wq|H^`FQ%Ci=Y{xS1ABdJY3%9de7a6RIAJ?y_w6|4{4kysz z9pQxIOBPcN!j*_{j<@G9p!gse4Zg0FB0n{Z-lRu)MzVS)0R{GCL4SKTyn z_q*SfSwQh6eE#kzr_4vT!W%rtE?4jcI{of352gI>nNQ!4mEzscTtI$*>2KjQe^jxR zf*yycUCd^%@(H{2!D23BqUaTVZ<5_yma*1RYz>`Df`&WhdNsby=iK^6KYmtDasTId zB^Lrv_8Loevoc6^BpP;z-<+8m)k98?Z2MgJDVOP;PD~8$kL^L4SS_4LCablZ<|2=d zEboL9B{?|9ap(8gn>LCpF|o4l{aC9mb&xogS!eTem#p0{ES_=ft4o|dG=``u7wq1` z7e<8&69(r-95gPyWPt&wCuv!+zZ`q{Qoup|ObFq}c%ORiH&{xKC|R`Gbjr!&`9x`O zv_IFAfOrlN$Gyqk=Uh8oY613(5jiBX+O%Ml(@1eiSGR~KIfdBx-)5LjGt&5DJ-6C9l#BetEQSwq zQMTqp!0nPe+G%|;(ayHR^-eNKW>>;4yOuf!Q2GeDZ=k*t4S>q;D`wU5MgJUaJn+Y| zUE`aaHQA;7O$2#dwX$131bANMp`}46pZCQ_%24jOC-Ug$I&txShu2&$qj;nJ6!uon zevIlNqx&7(NUm^s8c%47-b)!jGvpP=CN;5qicjG)M5Wms?BnR$^wr~jhN)F{r}rXAkVGDg`;}9R zPK&mXpWjV$U!W}L@;ITWqY#Vio-lw*Remjrx)1mjWVG|E73baKJ9FBVHQvmlNnlW^ z&XvJ*{#p0T(`RLIX7&#*^7|Zoat8WcuPTQt4!ujom+?B!=@>WLO6IaU`uJo6?8hx( z4a0%@N*vLAeZM(uOo-C^y~woiZ3I_t%&%-VbQk3(d-im0|9qz+s5J0@l2jQ(h_uai zdJ4odjs*(s@sIxcrS^sLeg9hY7I38H)ocg4NUuH4Ka$bI$km zBNg6~m~M|LX8MO#je-~*>&HhVpuv2fYP#TyvUpwFYm?ZBtu^W}p0J(oZg+K$=rLKh zPF!8z$8Qtq=nK@y_0oHtli(oTLAxuv1PhVJI>7{$klE>@+ee=V{hco!zQh%?Gw zIS7giE-%Ck7~d3gzJ5vXE}r7ptNUB;9(v`o&cbrR(AHp1(pN7Ix^xPj6hBS=Q~o`> zAl4rW;_{>_*r4QiqeURu)UghGKMY*+1U|KG!Z>^Up2~wb??5dnjzVbXIW7e*S-!47 zib{760SA*={2;h*Shz>58UDE|3)#w`KRi41jnN7iE^C1f;um=u6kjb7x_Jy=X zeRN`K(My*!{)>o}l_jWkz&M z!KSsUjwe+>_-*U24*f*n#kX2&-y~mnpgk6dX0Y*E^E$+UpJ1gD_Kz1|LZ29{0;FvRFhg)VBeINwJsU z$NXi(Q5oNrm;9?kr^=80pB71TI`KK8aPlZpMwEF00H3#grVvBe2v&tn6kg_XwD%`k zZE4q2Y&Z&+y^;pY)*f)Kv^oa&sre^K66yZ+?Wn-Mz#I6l4kmh@7v(viAk&oi$!^4f zely2ciyd6cG0#xJC+=MNv4KkDtNF`LMz{I_)!T{=CWg<(H?Fx|j)?`v1cWHS-tWjHz^{K)RzgVB}F}zc< z`~P=$|5s1bz>ma#dbRuJ-kECiAgTPZd-wnDnVv_+sjC0}-b2tme(e0tq~?A5pYKV_ z{QU1f7mvojI;H3H=YIJt?|Ar(-EjP3-G>d}S7)#mKOnb)`W#sOS5h^|7ACskqW|@1 z9Wd+m&pJI^zruGobO>r3`m()Q5&3+?$9~F$D=iC0FYq!I6d(NBlNL4NpDr&q+`AyW z4(d0+QShI?1C74E)56Da96)*05RO0Jy|@2gU08gsolEgS7;WOQz_P* zoB_`*9z4jy|I@#1Uz9^5AoD-}o#R;%RKL@%-^YJ{PGuE4!~g2q+WQ_K`*nQ$_n(!o zpUgwDFFr(KdNP~XweRH1AJGn5$63cCPA>Q}5 zaZ`bq`e2X?@ocH(vFl`?&65?6%el0P2|s)umb{W!JGUDCDP{#{D`dk%!?ecJi(AF?Cc zX54i9>v&54bUdp-{ddPR&;L4}P+>ct+(Y8KxHx$yok`erP_VkvK#SI+plEMX03^xJ zvLzMuiYDymUm)Vv_!H}H=fPCM$w{6E4P_*Os>b{2czCjjGeXh)`RY$4sr29M|3J)8 z4Cb26j>E$$V%m<*#4SDPFM=8tga7_5GT!U+^aCOpO}JyoltnL;-%2muOUs$3YQa6- z0E(2oBK`FZLc+T$-$TGB#M?T}MWa^WGnJ+qS&r_cz8!!!F_tY0k~HDWGw%37hA8*j zm#fd35W1OQ0JAd#q8GCdf`4U%0#piW(&6kK!#IXZ7)B+1uF|tE*3)r!ZW$>N(oZt7 zp~-ZuC7vBV=GszZoMQTi0U;8`?tweLcdfDz(iP^+;3JkFs?8pHY(IPm&t~(P{<@J_ zPTiyTk=!e77J-u$Nj)def^xbisHXYwl~$ zvM#uzsm;MnE9`d37iPY6rJBqp-1%BwI_7>?^OBNT+6?ygi^(?hZf8SzHOdoGPCXY_ zu`ONBREO3S!hnv6@zt76@kXtyRK#+>vt+hm9P3xv1o*JN>jQTf9QOQ3NaILezF!PD znDv)XR}`C{bwhsij>0(XnNmSj+eVrkj&L3%*!U^lQfQ;79a?H_;%5sQWF8-^hwkgg zyq?vXU#?>2NiX&pe)|6R6+Ds$NTa**R%BeGt43V5M7w}JWj_qHVGg+KBaB60%J9A? z=+4!_kr$@tB(rcTdBYBi-P4M^4wN_}d%Kk?&JiLm@X>}^*vP;H+)qnFl1f5}5}=*E zBSCTQthCIVb$@m6PQbFN_h^K~pR-bf=)H{R4X&HZK6VAyY8m>dCjr1&2@|5B z&E>`xG@=mObBn3mhaHX<(D$#U&FOHD5RMkTcTZ~{9;@$6E_x7$dn8R6v};P!e3ih1UxLO^jZ6c;a?ZNgzs z(sC*J{RtBc>gJeU*g9vdspg%vdQ+@^e7bYcjw?ncPZEBC*sFhbVk{lT! z5=9)5{?8bxdgJMgIAI0qc{@Q{_14k!-|j&g$r_BLBvWj6uJ2EJuPPwr$AOeexB#S! zw{m(RX!n{Xj;z}9GH&C~+nEU%w?c|8q?6Z$|6r7SuMxo`WEKwLf*VyQB2}x>dGxI- z)t3t{cA|P8cRg@0O-9euyfAZ(P}%s)pE+Y-ifgKUIIHb8rd`Olz$j8Hb;9tB1c6Q! z!X`^ea_vFUT;GfED(Uz436MGU2(%ydnLk>NC0QGMVL8F2cVq62BZ>6s1|9fJgM+~o z!?9Jb0EAPdEh+6rsmU38lTSzluC=@@1m1`JlY%V0eZL5pACcnS=nraxR?enrJ>yw8 z*{uJ{R(^z)7qF-@{eU+B=#uu5d}l__+uH5xIqH|Zpxw22=F1*e!8ev;N<5$TSk_RV z+>#1*7D1a0t2f>`{W7-7+1bT&Qw4fk%z@GpdjMCF_RMq2pODe!@I}W;5jNjT)f?WbFI%@rVB{w^HYNerq&vCGvl(AO2G-@n?pV7A zHCd^pAf{Kb;QhBgqXndAA(c&R4vy=ux$>~Dyb|L9zA~O=uCVnIT z&^s-#UqBJoDdYs?{n`b=OT!J%6Q%F6_9FbA9eAQoo9CTmSQeqZIQfVGJsZxz7ob&R{q@h`7b0`(vmv#M_rX;L&*u6B zTT7??{SBztTi-a@kxR@M2}YU~5N5#1gE&%WB$&G>UJHa4DSfG#L!F-zL%b(bVA1s{ zxl1Yg%ve^!s-5gVH}`kkOlX#m;1?uN;oy0YrIg;>Gm6LjF$6u>CZ6%HeGnwPdx);= zuSY38U{(a2=ZM;lSQX%pRBqI0+SHtYg9txb!$l_MdKO@+^!19g3qYW~XC5`_edEYDF9z6)ab6uw5hIU+ivRA= z8e56vO?+K*=0Zn3d)J1K)E{KRzudGR@LAc+U`alan$HkERFdOY&@aRfC@Fr!I^`6} z5Ww76S~)DIa$>aBH{SDIn%{5RWjyWl4> z;LLq;ZVTry()LvV=qDjd(aGq-o`}o);(=UlCnDZ{jHLkdKneIHdn29mWbzN1ptwqy zTFNxGCfIXr8X{)>02F{H>NVzCC^RxRd}Yn}gq>ajgwZSv*FczwvF2;8swe>{vayfK zWSp;i#W684XFQaAS3$(Q>T(cGQ+mkd{FEiZX1~s;_)R>+9c05QiJQ#(w8-4bY7|6}~@1V6(niC%e?>3K zvI@9n*5jU8QB6;0-V(67#Yr|NMQ-Dfz4$hG)|Rofyh3wf_M2jnt$tjWCk~z50}q#i z5iwb5GzC|OH*0;yv+u)KLFH1i%KK@N0dAkjW8A-hR`a+0v`6c=Ty-9=x-PxXyuL0O zlGVt|Usvaq$?&6S$h@<{4)>w~v)k7@Ow~cz*iS0#b?TSM9Yj#^mrlT6%eCFd|I7{O z)#by*?$*Biod!2RaBX)C@SjNEaQYhD>R^I$;BcDTn1ujZ&DWwC{5}HnW(nsI1nZdK zFK_P!U}v(~nc15VTcaNZcon)(vy9WXUOngm9GLi>mSVcpsbSaq+5&wqEzzVw`@MZl z3SK3!aj!VJ>0l-N-gv_Q?2`r=#}}r-H-af$o9!^W>t_c1cS(hPc0=pMoW#BFF)(+= zh70dqJ@Y$MTBz%uaiWfjkl(v6$HdeCoB5>{r5nvbh>V>mhd(K2Yg|HqBX17MYi$rC zIsE{&pKF~hI0-!V*Zm+45pl>tltp0+4#Jbw;JyBQxQ+AAU6*Q|kmfM#!X-^WrL__2 z6KCO^OO}}7?f-~V&g}wiAA14C&SBuS^yo}yn81Xc5$84h-VYUbI3{mHG%>$|7K;1+ z?|jKy0Y+y}(h_aFL%?_$fjx~c6|6WVlJ#G&?a$+%6g8&X(|$Bj_Ymsm7is&Cu%Ln3 z%_RO#&T;PTJ;{lAs@xNI(Si>`n6hdqMk3HRI_dmtcrV`ql1jDwzdNDyzdNB7XnpEG zolr;=(HR{O&^~0)sITGmhA9Y$PDe}NkY8DC_a#l-#5U1fKXGv54jY|}cdfwvfyzxR zv9iPPQzY>|E9ieZKbshmkiIG=ZT$HtA;qdQj88HDU7}gvq0rOzCW4Js!#ddn&Wv$F z0GsLpLED3eFcVVf5ALDP4S;keFk%NgLpRvO`%A~v}>N9)DXN#AwuE!fy z0byP#!QKGso(g%+I--k$xdP=GI_-|&C<*`V=$ zw+@$yu{c`FuMh93?!Nqi6kWakJy#$bKK3Tt%$MIC%eCsn;B3pIX`WC|4>mVhejx>} z4Ez(oIy$QTJPcALiFRLE&1FQ2HDA)ZEY|2lwc$0BezUf6k9b;;K6o6#7i^m=08`I{ zAJT+yIH;OqN|PMyayx6v|xAKx7tCn75(!6vG*=L)9dMa*V@V6LFq(D5mJXJBKsvG^y=lN zeLe*?Qk_q>%jI%a*$!JRAIoLCTrQt&DH0hV1!)Zz1EzcgB&H1b2$?Zpfi6)x&r=7N{rCO9@9X+qC&fZowY!?>uRB>sy@XySe`-Y%nJ6PS zBeqJE+_X}=x!xWLuh?6f&lqvK{t<>Ez(;&&aBJp?Pt|=mJc1v$%f~$F?;Z4yi7P4^ zuE$*$M!Q|u-UjP_Tx!8U5Zq#~67UXfxu5|3NJqbPM`EHj$BcqN@0HLS5!x}`s?`px zVK$u{(3d)Cz|Gy_8m=tF#xcRMgQ~h5W z2wx?`Ez__uDPofZL5~Q=T!Y^IrXnHJ$?h7EaEwH7djgWLl&Y2tzi2Rs_d#`g9?1?t zB*5FEHc06$@$#AL(tRV6#$6USl`I06+t;%uaQHnA%b|5p_teMT>PD-J>rq_N{v(j- z-hSnnE-Lh97VH^!m6x1?5M41V%Vz*4I44KXwIo6?1A$r_yInL>T-9sO9%I)V&cG)1 zxa8yRwguc{&Iz|;Qa{$#>)K(S#UO8x4E^Vr!>NFwONQiudtaGv&_W(w44ET0gG^Hn z_rU-rt{!CB>a~t;Z|l5YQTxhHN&zYFa0h_BpAP)BTNCbV&B*8nK+aZ?Vdp?Ld}+Zq zoio-_9!CSTbIneam=Jr-U)~V9p+mY>0%Nh!sP&Dbkg4au(U)N7PHegw-a%l_mBR1M zZnVCpT25)h;@s95OLv(f0qW-mvzG$fC$ zAEyMvlv<29wxWjL+8Ubc9K7P-vf#Nj%>LZQ=SbReR>R$56=qFl43AMkq2frw;-w0( z{XR}N^z?SHZ`DB07)K-^z{s``ZyE9kEKPYdxY57h=dp4~4Yp3@!EXw=Jp|{qbzgz{ zEDM+ot}qu=LVdJlXIIY?Zew2U=p?bD9i<*IJK{mj19e(Tbp#zIPyvgfenj(e zG>q_MEg6Jb9Rvh=1}oGni`g`1y0uqvjrw<*#c-0VZNT_I?3Y_@Niuruk{w6K@K;6q zmE1yVAq;$M*w@QEO$7H zEDZBcpD=rXfDh_G=7rVB96P zgyJP7>RDK0DcyvK*o7b34SdtVnHZ~#bB07(6(N-}qFl1{neqhGH-%N>Vb?Eqi~ica z5A=e|Uml_D;*u8#nDCGDxf0^;@q(FIWJv6cF1ZshRH>8|%e&#dDhpm|l-4TfnXsYx zP=HO?5nqs36Ysfxc*quk(1i;{s(r?`1M~1l=!zARoH>J6#7l9H1lBuA45wE?jxo5y z(L%X`5p1kbGVLV-?YLe-^+;x7MW(BLyV0ys2$JupA#T2HNW)NNM zNS@{CeiVVBIlVQcLB7b{@_f#nsG&q8BW4{{$0TqeS4l+cJ5^1Q!F&pVY5j+%*2EI& z1G{OBMZz_`FV1s0=P>dmkZM$wmxwEW#S{_|%ri4JsQ~-*TX}MK%9DKU1K@H}D>-eA6XNY~U+;(TIDI_l z3mWhG@+7Uyc78cNH-va4Mo?Hd-hAJpEgY zqk7a++UPCz0f<}M-?@Gq)_DxzU@fCx*iU%k)aSQPnR`>q5A_+ zx4hiMvnz~n68aWz1$A>Pa>8(VrejR{f+TQj#cLMh1 zio98V<+#U(jm&ye18x8E#64E0>G>@Lczc0tJX0`l^m3G<+iW>w{hGZkVU0GaXOspP zV{>|h6gchHLBYg&l<02e7 z^yvFC+~lx=GQ+CekWaR^mT#l)>Fw)9sOP-P&(6Zfy?x!2+NEKx^`o%M^P2!%4XNmE zOFv5?Cy#Aha9DbvY)&a1^4ec zfksY^klh0F?ObfZq*~=IDHsPtks!|V;bp?csik=U5W9UEY{pqcasRGTrfT7Wib>?D zo>%7bNrBf}AioTJr^_jF_LP;Vsi@rxs;RIRk+7Lf^O+rp1~LMTHYb5i;BTr2bu)$+ zjDo~fJV423B&QbYsf`T{%}rUu2~NpC=mt83FfA{NC6UVJLuL)xl8#vLI!IaZzf=`qIk{vm&K+=E6m%58-7`B|UMUL2s@Is=knJ{W#7qbNl7uGhM0%1S7!s z*#r(y@4NSuY1(yMmd*NjmrFCe#M@MyFOQsTi(BQ%9cD4Mx5Moasy9-W zrFC}^+gqI8ouuiQnLVzEw-GEuVm)fTc;6OXKoX}dq&yg65vcL~t%0PpWlF}Q6Zrl6 zPV&jUW5{+?!VTMGFJcW8@SZ>0y#_EAZfXfZenhnb%ScKsyLD;_(ALQZMJ6GF#T^_ea3|AI*tOQ0VXp07yagS_3iapa? z@Hs_cA7J|p>+`A)g?#Xyt!447CDsEA>kz?CC}=;Uq1c5u00CL6_j=V=N8URH;<2%k zJcjyxoXO~mHt?PaVTFw#P<}F&77Tlz)KL^LKHYd8ntA35$rZZ&5ID6hcQ^IUw-i=O za;dJCXl1vrQ+mKA(cdC~<4M9qoOi;Ksn-RP9n4C_`iZzKMxv`5Jm_&fTZ!_;5taxJ z5;3b=nRkI&Tn>-Ry9mLZ!f$F>S&ee%IhrZsh6ml!L8BG`WRiJ9~fdNU9wXao$FUNA}*{ zz{db6aJxfBySs;cx|hkGntQOTZ>IhX$gs%&+aH>-)Gj?bgL=A2uJ7Fe{B?o5RhZQ( zEl^y{jVaw@vSW}ajU3$)tgg)ih?qATw(Z`4YR=_l6O+82*nZMtK@acTnVPv^W2?T zRN`kn2X1YCw+GB48|o4135!TqODv8ujGasgH*do&rKcTQZ;TC6?M5y)#7;Nc7~OEa z=QrX4P?T$VJszv$tSbvy)+e__>M1Y2!csd}Gj5@ZF%sO~m(&3Kl}EECA~dG4+iZV6 zbN^X=#ac&^71{HjJ=o@uK=N?ryZ`l8;@eW$DUC&jDQug%n`r#KhVX4UdEZQaV zloo0OxhjiR<1r6JS@LD5`8Q$7HqU@^GmLn+PC4CW{h__gg?&V8xwzeD1iF~K>?$X% zxDv@wm-pHB+K>sUVxIooLOXoRhf9QkE3x;zrK|~0SRs+V$eg788)_Sp?LDNx zNea6q6pcBilOA=Q4(d^Jt8)Gz?DeAd2AnUM~_vG!goC|Kz1@9jgQkhcqINao;I5RE^Dwkx?~)G~X58ib&|~R;XwN zV_lUtks}5T@~%n7{qBm0jt#Wf||;4&Nm<*Z#!GNMa)Z8Z_tKct4z6m)>xXuK|vNiKVSvUA;J0YDyP z?9UJACWlSoXZeoukIvED-LZ+f?6R%ogJnRjqYUm!V9PBivXcHqb7B5I@6n+sIulJp zi9}PFDAt?AK=n51I(HTeCL<=My9KNO5n8Y5_@EiHJhPp1TFj-hyR8DCAK$>(B zm^Itg7Cj1oJr_5OyGgb*U`4xx(gY5GQb{}SZ{*2wPsCOS>!n!FUs$vnnC?CC9f({@ zY_yihAdawI2%1%Q74n80N+LaF%YFwCD@qe?IPf(#nfc1FfZ9$@SHOzHnDIRALL`K+F zX*4Oj&>0D?4~scV5NGyveXQ+w@0DW4n+Z0AVDuj(;LFTRaa=3PbdfXlMcm`HAA@%j zlsLC;>>8p~_Gn(`M8#!qK776w*6eham*w7No5Oe!suyTpU>8W_>!xR?%GrxE-VeE9 z#Aafxo4a(QNAHWI3CZ~;>);^n)t1$+(8cS`W>w$h=4K4m&<<2oyI`1W{v~g_V$NZ~ zlZsOTL>n!O(NivDQ!4IQ+`zgL_|@&OW_A+pQKvV1d3EQRFn>Ih3|XS$@$Cnxr*2Pc z`hLSn!D>pi+|6v=Cv&YKZl# zUXTRM@%pKS<>9X2xL!A#it|;4yK6u=J{D&I+~txySjgMisAsr@ZT;@(TPdk*>&S;S zPq~f;4(t{B<}M>EqB@Q(1%UwDD()$lxFv&qo{?qX&bCZ*xMIDmA7{tTt5tVA?V6(r z4f_79M|6Yv%M4O3*;R27dCB&wXxWQqZRAf}u=O<$2u6MxO_a;k^U7QU^fVaWJIsT0 zus!p>!PZnb?Dcj}ER~6@R1ZKXi7!o$wc`xr2r)ExV7_6IdgtBxg0=*JJ>AF@j-=}& zmONcv=1*>ePR$YIwrj&4+m_j$?7J;_)b&8S_YmV*#LkQ&ni(v@HI_hw9wVJ}v&-Oh z2#S50NBSuQOXN@p;*+rSQokP8#F{V)uv_92y4+Q(JY@7L03-qnepN#RBtO6fDZnRm z*QbLDO}?u;7-*L*`W+$fOxikRSY{^pi6b1?QE^p_Y5k(#2u$H9Pvh^r&v+7RNkBKt zAt$|yp&J3D!Rqkf^8IqLy55iE9^TqSf#+C|GQrvEE8HQUcf_8p=|Y2FI!h*h;+Dz? z_!Fb={E0zxci2r{UdQE(EJGTAq6Y4E@@%sRvo6RU^Im7m2#Bymbi!>Z!wzqaD=+Kk z7d~+aV6*2v*fHd$Nau#Qe^a2mWV=dpz4*1g&N-d}iSyKB57yAM#T*(-UBpZ`du$zK znn&CU{G|{98ig602{C+xn`?R8O##H{$yoaye0^jCjc>%L=0<&N=5p)McEvmXZSdwE zpO^VE<`LjY?8bX00gOB2C9vJU^VWLs)+Uq(%hzpPLWgmzy=pb@T(5Q^6hSJbL?+>i z5Tgh^pQgf@qcx9ZuHQyPM2}3lxK~GnOU^)=EpGq>auDzkPv3=p&U-X)abUB6QWN`# z+e2FL8$d_vaE$IjbUjh$)CWu-^cP*X6FHd`>zi+P$0auK$)SG=o2OSS6S;?)Np$ex zc^6%+cz;y}gbB$Rfu2HM5_^$?d|l$)!Bbzu9kVvqY+lM|KWYe|HU~zu=n@ff&zjYI zhnKnNX4n$%A&6mfbl&Myods{!@13A-pQa?Wn~Ka+I=yWSdc!*)XVU|@Hd|gkx9j>O z!-6DuxwKp9*47P*HvsN>E^6B$Y*b>Vcm#0gFbekhlBBPdL?y_LpJDvh6RXmu&Li%h zTR9U4h=}C`p~*BIcPas@(3V~T&3PhY!3G}uUg>sADsmWZjImd}TVFwLtoiGH>M=zS zI;f6RRRBV<{#|nRCs7X-Z)t&J48{dr_Y8^8>s=v65-|qJlQ7^p?jY9P``34HNH;n5 zYa7fkhk#>1SWujJ9=}s^RXWL1^wtYP_sO^oiAO)*_BXAoSM%V^wKXI?uMV8}u^_ia zC)Nv3Kwo>Y?8i<0P73oN^~+v}mtB>I>P4`WhTg+~l&Y}_oZs=;gFqcKyCYKX-wL*j z=|c;m!AkCuP3LF8P5NXa8*>>)7+J%BUrQVG808ZoS)9C zRWDYStMPbwWDBj>yaBa@BTm>u)!TX`>WnG|%PhtxP>4#hZ^-8zB0h1&aLA3Bx97)X z8^85V6)>FT^O993?i*w-+MG9#3;H_$6p2UpBu&?VBB$-nw?LJtO)w~_cY2gjX%R$; zTH;EI2(mLBLZxgd7zox$F2a2W45qgt1@VQ(E46$8-Mukyip=t`f3%g!S=FMayV(Uj zqLrRAYE#}J@A0Bln_IzCiRAEbV3hmD3@Ze~0GpVzg?>N_DS1#JU@>IOJmhy&ZR&BG z@MJdZH>QG~PeN~!0`wd6yhw~rdK?zG=Umz_p#A2yoJB$IGLUnN2XMO>WS00M8_z99pzEsA0uvc_7R5!CD>#D#FbNHLw68EYuyI0M3^zBM1Icq*O#ip6s&?c#z!!V zDbn>t*EJ4eSWXkWG87Pnmd705ugmpYOoTO%ar~L-ZJvS6S7G7W5;gzG$X)2_bhLu7 zWZ!L-<*HJS`x7`f5CM=YKye%PCiOXM88u++71ae}$=JEw9B3WDUS@`VMh|mK6(2;k znsq5WY?@W+{N7)jY@6I=V>~|jW4)G5;O^-|GrPREDfl&|vKP81g0rk;YtkvgFDd_a z%%aBIuA(0Dd7CT+;WUa)99w3I<{T2iucHm_KBV2&e(hUxPR50`nmWdPLAPo%z zM@3&0jP;taaui8Bcr{6!81)@JD~>u~ww4r^i7G+n`Q0RgY~CjjNkbG;vTbed`JT>+ zwiQ=X_q%^B$Lin~LqD#ev4R!<|;z_R67=@A`+5Z}vm<<%oP6Y^yxw^zFI zPJvm)4e+R3U-1G)b!4w}w%L+Sd++_$FaWvJbn>22Pmhm`r5jmXyW>Ha9qRoBebCk< zB(s@5yA_;PsZeIfm>pS|2pWKQt$aqI*uXr+J&Do|D4WH2WM|B{(Gz;L?RE5&Zc$4@ z(j!KVO0M+mc+OmI$NE7&r-&VTD+t+xQ0@Ab4-d4BA0p}VH=gTVNVYIfL;5^p4kPvM zC703c<_2c0d3fzus8cU)PO&=D?MXE!jq(nUy-nC^L7%hq;fcf^*>Y7{8g+sF==G64{x7G$9b@#N<%;F2;8!z(#YbT=hmiJP;#c(z$-oU2Qr>vbu%MM$Q?IB&LGng z*pwhQ_WFHpY!FfkhVZm#R+ph^UFSkiUh4sNI2f-7e(i*qReyM`uitvD^%B17%+6{O z5A|IhEj>(`vvDL^gU~!qpn8z{FiJMWLoL)4PxMc|_bMX0GhY29t8@jt`4i#1=kI*H z4_!Juz2(07y?oK1Ww}1Fnje4P^Y{}lEplV2CvAV9NsD~ZZId$Iiv0tA)YV`+8vT2| zOXTW)_d4M>KEs~MD7(-8Z{+C~C-5O|eE54F)*t(yFRumF(C^>RLDhHf$s_qWD_7Aj zM4TbW<9qKU@^z25Ka`1!2-ff4>y+F3V=puEQ1i_A@n`WDct3ycNBzA_*Pr=0vvX+R zDZkAMPDAG>UT(5bxHPNZ!6X)DLM$+#)zyxVPAdcI%C8dq6C&*!ck7fgqnbOO_cU!W71-M@#{3I@sTr;#p6dWMBeVubwZZ_KHCBDa+NF_@*v){~V9} z#J3YE@T4-%2B|mm5_|1(FEDT@Y|)Q(R7i4et1bKz%+&06(XVTI_^{dAStJy>h5dL+ z3t2W$3cQhKwtE2$W*+t=v1a>?UwH7JTgcDoURS@_F6NKjeK+~IiSVE(MB-FKa72x{ zA2RtoiaNH}D(tLpDj_*y+r2cfnqfnSe={itLZ8RphOWnO@2Wt%({dw^8tnZ&1p(x6pK3rPn#hk!{+3ZaTZlsy4KRO7(~08A`Y}}S^JC9BIQz9IoyqWYF)l* zbbcQ|@tl3WYhZN_F~ylIgrfX>pw2BO#x-`QOAsq7SnOr=v~f^-oFY$mzkbLEF!=4cn{Y51tA?AAn|ok z04Q=!kt8*lX1Y6OS1=$-*TRNQ?s2LZM2zC>g(NTAM2t7L{GRPwWNF-Zw<&>1sz~TXXwobZj0zg&_EPKL z?+#4SHY;L&TQl@?Ougm>4xV((Zl#hoLJ}; z!P|NRv@fw7=!fz#hJpp05A z50wAH1p>pLK+q9X5@B>fe=*$FFvLRO&5As4z?l1{-^z9YZUt=TKt@uicM$A@a4yEA zk97q7&=?SMH~}#n3ma02FZJ_gkJbX1^L>o5IzKUI=ZNjuj{AJ924y|S_7pBTt%bJ# zJnwziQclZ>HH(WC9{vT#YGQa9cLhuoJhUgcOuL1VI?(chy9m+LQ&J_86z9*;cq^Dm zf}97CFqSrhBnbem#oz(|oAbhRaa|A=7kr>xr=8K+loh5?(`nl-HO3zNlEtu}#jsm5 zp1a4l@lQf(TI3&GguA-M^)htr!~wCPNZt7^`KHfB z2Q=!A$xpA{7RicvW=rqO0d*y!rNLqe2S-iMoOnS`mh(mEw+7y>Z@faK&2}kK$CmEZ z%UVU?frl)^H|1fitX|-G(3Ml)M5j6<(s*f)-b^s`ToyU9mk1q+RyGT*D~wiPe#B?2 zU0a+_vl;Lpgq|ZD2j^eIrVo6swF|~?eGVhK14x<`84m|HecA?EDu4(1jS$oEl4KAb zD&OD@)YdO;Ucwhdmsv=1sG>*7d*fODyQ!k1o#aE+;3O~_iGC68W3W@ zY5|J@yi#a}Sr>_8SLHTlD3h|wp;RSS>G`zB9KT&=8BJoxt#0GH6qz;Z6)WeY1xBlq zjEJ4(JcoQ=0v{vHl}A6r{TFI}+y-mCENYmd6E0lODctXf@QvVwyBv--M979&l`<(2 zXz7CybZ2n36wh=BK%0KzL&@>@D33k)Rpai;XW0O01oObv^Ct8bBTEnO4g%e!HA?0N zglZfeWibz1>%G6;I}(Z-Ys^RzEk%tXHvcrq2^e8ZS zRCK0E$ZDo@#|uB#ED$o~1&iyABrL(_kIr5o9n@UBfOS(1Eq6+^gQ z#J9(^-c8KzYz9tY0gyj#0?HNUrzKX{qqR$IeK)KU41e40W4=ldfZG%2v51M2Y++4j zQncRQRxh>t2a9Z*;Mm@lu5}LP#u;LAd77&LXj^a6_55VR3&&xhLBgqx03E}a=MEG4 zxx;E*qvVRXmK^nQLKLcr{O!@9WPH}ZbK$c%PIcX?v6LsWMz+HIm$~88Ik&qBV-N58l(glb2Af487m% zm-u*VTnn8uWsP{E8#S8rJ_Lc`Hv|xiZsrm#o=>Y7pmt1XaBzom?zCGv$YK|K?*Iv7 z#aQbJbTr-TKhAxoyp~VGoa3sT+gZBfG#mpO_rU#Xz39CY%yeYXkf8}V+<4lWS^sFt zx45ZRgiO-6DG~@Py9n@6ke9O=G>yExx#PjclbiSu?7W5M9KD;R7%AX6jp&=^`=`Fa zgbqEMX+TzdvGsF@`8y5VDZ;4 ztXChk;{knfRG-q*NWvX3jw9M= zQ*U>w$5wD8}iD!Eu7UQwf+T(qo~yDiG~`O-fzSp_HdZLNC!mLtW;H z66lGzr()3pOZoCRMUNYNkINPIc1}9(?|r;;H_x1DXabyONS{aNMXN(b_2WRv61?cwS~1R(IeYK)pokZ_GS}7=f2vHJgj#h&Wi4S z0m<*4smZBq?0st!Pqi1c=O&*?QN=-vRd$FJ5u0@(UGa{snt1`hgZmVrG~!c`wk&4z zyvicpff2PhuAp`dmS@}#iKk&#w`*I&BP}Hv&`a{s+^@L9;vVn(l!umsaiNzdLR?Neb5YO}%YFw2qAVzufFA*AmA(o^DDc>bVmQYx(@BC0Ye&O<bOb%JY?=q1}$S2+U%zV~`75VN@hq(#Q7IrIR&}>xAtSr5QIeYVX&b|6Er+#|6_qXhVWkMZ2hw)SSY7iXIHwc6;Q^?vBg* zwMxV6;DU?9I$|eehv0 zb+8Y6I5_dly@QNyXxmxhl_twg|vXJJcCSl^@-2dCj$ClMq9pS$}_+ypbj@Ei?4^GSZ$W`xa0l%3BG$N zjV`jkmalqq4qP}H2m2oT_HpqbVW?(jw;gt^v@+4+Kvi{io41b{!z5cv1(N`Vd= zhxzgd34#~^YDJK6(6eF9z{7Y!tO;;bV3_zZh2<~UWlkj^IuaYE8>l?n%>p)bXevLp z2R&Ll=j##P30zp(^$i~98g)O&9ZpUtyR>|%mn#P1l{Z&l#|4VtAC5MUn-X>@-aNsc zk4>PPTAF)KVuJfQgl026pEK^N>lgx)TndmgzP57It%4FtoN7T)!?i1v{BXpuDQG-I z)ce|)>V{NmYH*d8Qk8=haeUdh=YyG}Wqpu)Pf$gOv$kpw)3OJr53^!*GZc31vP075 zEiQ4Kn@;n#9LDs^seKt9r`(7XiARx+3AoV#Ud3Y&Be(9a`Z@vK$J;wVa{Wfc?5Gv{YyoRn<$KJBUl`e1=oA$1#XCDT7*6pnw(Un2s1kTa^`q*Kr zOigTA(EWM8-carpJ<2xAwWsJ4u!>!w6~KeetFY}XmXuL7U__`cXMM`~hXp)A^9Pk- zq<=x0$P7D$RG!A?G46;W` z>=pNAYsf+lL_19)(i@w1M%uif*Cpd=`AAR~0`0^gB6h7+rPZa^ixR{lBem+|a&Qn( z`Iw=YL`{J{g@e8CV!?;)9_x4e1Oxk+tN9kUIxrFZW?~luHsQjxC(I}(~rl-^ew@P%7m8VEvfJ#sCP)@+g11{(M;C}2F*wY+-j{i489s?7^MH-rhMnE=dq>bGtR)?5&j&do)zdu-T6PN_~ zd}!b*%bZ`#?mJFzAq@y{61_09IIKX~MbR?as&YgFi5xjI2kjx}%b`TdRE7Sktzx;Y zPq1rJ$ZfguI`z?anNCtx2Q!yW$UFK8)rg`dfB_ZPMP<$BF6X0sWL^J#y&%%^#c z&u&W%ds!r;#Nu(vt4D6C0+82oVl_{O7gb&7hJ&^6JccfM1bPP891CP&jyiRbJyx|a zI2X)GM)_!O0GYv71RP>P)(PPtvK%NFSnG@P0eeVP2e<&CPrw=Nksj}fq}-zql}QgM zHQF_S0NCqcjy{uswbVw=kweST{C?nA*b;{!;(4m7A~mSmvhwO zU0R=(V|fd{T3(fW-Mw{+p|d2$xm=f zX|SgI!gtc}20hcncN_ydHPr{H`%<+y;d7rD*Q3$mUn(@wuoq|0%DWvZXa1h90R#P0 zCd%WuCvE5zl8Gxh>jv{_0SUg_V84$HGzsym;~mebQCN2;245s=Je@>R7;z|4XqB=!0}+Zxrgf> z$E!nAAu|A_a_T*7J?N;Q_k&&H+Y~KokL%#Q#u}JE-k72COE`|vTLx5z0BeLg7OBnX zOKix;#f;KS#Cnd%Q>D=II^wod(gdkx+08kkPXeGEIyqQsO+M5Ug}-nVZiAk|%3fRqUOq;g5WaBxaK7 zp7we6hRs`x%ur-Cml-1Ma65ULQ+r|`jF3TH2<+a_aGvU#Y2IsYjbS#&M32C|+;4F{ ztHli*btZZY5ca>Q^8wcrd7SoY7q`8FCrA&CImR2_h0f&i+M*)EeM18LZO5m#X%0J@ zXf%++!Fn2Lv0Sw(=;8oskU4iz*3-W5X)opG3z9JQKiwu?YagcR+7xIDa3@p z5*X+e?f@AG;94MSMnP{FVra}(74+RPb_2K+7YwgKyg8d;Kh&U}HFeC}eU|Z2GC9<= zKkS@}ayfAM{97a5-o5Rf4oI@W zUDHzZn|2*cNDA6He(oAiI$HxsyxL$7+-?-0aKWR%^%%p-`$De<>_Bt|){o!@VEk)^ z`3|<6Q$Eyw`;-(UByVppb;ExfmLIK!0H5vw#$RmvUkue9UMjf0F|qTMJ`WutT{<`A;`O?eSz6(+u{QgW0_WHqWE8cpvV3%&~Ab=l8mS=&!wTC4HM(TPoBF6~R7eC`UumuBKD|^+erPoXV@jrHFjU zUKxrY^vEmD#`VBq2k58*b5+SrFb!s|u6c5=Z{8okR~zWZ;LLLLX)yf8``M)v_YbX5 zJ`My#nlJ&l)@Ul@GJbV?>=iL{)5;iY!AI>uTyHjx2io}Cx17glldIbY(u8qsO5Hf3 zt8-k=?k9b-E?MjXFgsmgX0ch_$Qt8sc(0Z<+V#$gc4-&2cDoU$@q+gfz#erGvxVb< zLncMjxDY4v4j2#q2>(f#&tZot9+Z(GgX8t>`GgrEUYHFvcBdYMrbJ+ zoh8szDiZr4nOCt)UKK@%(HRE!7^QN96a%|Oy%BhtLGHC%e%|j@fC-RFkmn=h2GGMG z{RaK3e3^~Y$dOlJYept3$qP5-TDe&V?Hk4$)4pZu^>)JfzC~6nhU$~j(AR)g2MI>U!oX>Y{`}EcP5YmZdB+_`VYw(CYeEXO zb(Q-w?!?(@bt~q_$9C$ckMe`ZNMLrKawO0RUat{If{c&(nk%A+r08h|%uh35!NA%j zOf`iuol_ru_6xoq8T&IGI1Cr%G!K7^^l;Q6#P#Ykj3n*{J43|IgtR}a?}y$p?tgm?1F3t?AWqV&;SpiQ#1yfwk165W&lb+ z0>m`8OcTskvGs{|81xdNHucyyrcCHF+|wQiu2?STfI3fd2UKsg2aP%b&X_{G#$im* zLQ4dxE{wx|YWDzpCj?WL$uvS2uypFUFKYXRsHKBHtr-|~ZC1n2ln#Jjhn}*KkH)Ze4DUj}`alO78b^ak5`YV!QtG#@m39(x2 zv^3fLREKwXN{h!2nFRpb{w$Y5KfL?zau*Ie4Y-B!`<#kOcGBDH4&P-m&rf-Exz(c@n3H|_a_gPZ1Jt` zj~{UQ`9Gb0{+G%9+aLOPjIRz~G+y}AAO2ha{?C5+>%ZxTS@yenD8g^P{$u|Ygx^e$ z_rLw!kH`C;fAjf8{P1}33GaP+XMghbzgm~C=chUjKe^tk4L|v>7wBwgLB8@&MfR#c zb@-Z_f2zU|-{sbyzWNFzh3i*eeR@=%s=9nZCpF-w%8#E4gHQDf-=dt&nThXl^WYQy zYN%g*_1jOk@Z(Y3ta^R-P{_vl_Pf6N%A8r#pG$n#^sqm9)Zcvanva(Pg~zYzPY)Q) zn_zlDcoC2M)2k^zML?-Ss8!(w+(W#da(X3h`+5YQo=sLi{uBR|J@OD4)AjJp^x1wH z|DCU?f7^He&42aHcSr8u{%7&o{tw@Owp#oZ0(xTS`%mJJr{ntZ%J9NI|K*1#`}QAy znf#AGdw`#wS3f(WVjHL9fB&z)KOMh&c0BLj`TFnwC7Ni|<$AKl}7ge)Vzr|LQlNer2e?`tx7ZZi$8Y)1Q6vURC|d z|H-eW^$uVEMf55^J${3GNH(qIVctAL$lvhj->&Gt{>Q)gg#S&?TQ%NvQ~Hwr&8IBP zfB241zxnha=wE+)U;o2X;35C~<7)%H_WAjLcqkuzr?C98|IMf2H=mwvnTF+`{p$6r z&kr&^S^cQ9@Jl?#4`0G&-3zmyer@>twa;(o*WaGy|NoKt!$<1-s|RP_FO%Qm`u};E z^y8B`{zvhDocupH8Ivzi{!Hb~|B1ig2Z`?&4wPIU<{MG({ z`t+yY)oNdU`#88XKA{l%>7|kUqwl|ze2G8)`8Pk5kiW&>zy907qbf3Y_+8-E?l;N# z(+@>v68^(4zCc-e$8TS|UoO#)II9>6Z2`-ht+@n&DVeP@dO@$oF3Qu zUxYvU;&GiH4fGp8e4DCp?R<$>m-}os&rbO3)?bGI^3qgVBf2FHzb-Ef{egweY>My)Qp&KT{DXwBGYO3fOuXYa% z*DxzzE|w4Rf+#x8T@a7w;`U?%#l1>Q6*YBT)^*KZMMhwe5><;;G`wgpps)7484BZV z?^f@D0f%*%EwHg5|GMmd^nLi5!+EhVE|1+$|GS!p`{}3O zxGC(_Vg1u@i+6KFegF8Gr#~Nx__RC!^buj#TP@-pRykA-R}(%WE{oax0PLAnNl_ zmgXbLbtkzKMV7TOvU^UAp)lAYCE750a+(!F?mv+)LNBX)xvj^@;c@7Dc8L$t zpLCU8M$-)AKS-Ih=$R28Uo(@m0>y#j8pHD_F-B5YIXnb(8RV} zDi(=(A6jX4=UByj_HkNcsI^WwDTR-R-MUDZOWzW4JSe;Fd4*(n*e=oDodmv>WwotK zr$-&K0!?eyUDIeRkOF59H0edPvkxl+V!t}e^KLZ*c^{xY*=wyA-L|*d6EY7++n#|9p@fv-kpbMJ*JHRXn%JAWw6}BaL{$Q(K(liZn0`W^S zmP8!{VaM;XGrw?$BtIJ~v+s7NkJsT>6ip8^S~Dz`-GXV1NsL9Hmv>U_%^ZufI=G17 znvQLxChDk}WcvWI|AFQ$TI29DAUE*|`NEcihdGJo?$I-;&nv-tdz_zU3#hNugv3fp za}fe(JV{vjUrgTj%av#UGO-6GKmc9s3-Au z#Wm(sBDB-6Gj!&K}ndm_t)oj z>9BMlZyolqUvRTCAxSd@qs3;M7Q6Gu`r(n&@$RRn-wSNx&c;CFdbi#MH3pI^J(A`) zzo=C#sm37K=IXjSd1Z`5jk8c3ZW-qkWm&Co33SWZ1`tpGhUE+~*@&9aHxv zE|j9H;|$iiAOvsU>TyZo;~I`I*5`MuduV&#A5(5~1#`n9gNx6& z#3UQ(dKBD&&fP)bK$1*t6WsILmo_5%xo)~8Y#lqOSVZsMMp3vStrn7s;-lk1fTuZEN>|D1bZ^G4cY01adVYgAB6BKmF}wuFQ;m|G#i+_e5*^thIM$ z1R*o$m}B(*^&SHP_-bw@ZpiWDb_4b}U%BIlOD1x7ik}xWa zv&Q09xOugDRUjDEvm{w(*l-vyYzC-yGhByWa2j}h3=3P)HO7D^452iV6e@#Q4oD4* zCuq$0zVUr%-TTbZ%o8}3=JW5zqgBuGx+#I5=(^o}jG;7$x4#^C62{MXR!PioI%izH zH*_AXS8qPBa}*c-7sD=!egqh>HHARN#wi&zW%X1jeo z_OBPD*>!(}c8)t)+?ur_K27frtdF?d9}Tme?wt_@=W@?no`oR9H) z1^xG**2neL{NKO-`ln;_`#JjWr~Y~X-rC_;9r5#zdc2DH;P2<-?|&wb-}~#&KWOH! zSN?yNVvo7{f0vfc18AaAPi12-qh{W&^J4&OoLlm=v~Z#lN!(?Er&O<*ELcn10;+a` z8n@Hdn*f;^uZLxNzMkIwxWCa-d^>0$`rdXC3ww#rY%u*J?+12AY+vabrpBypP+;oW zZtt7<^&%O;O+;Fhg&S_pV{h7HWQ1fzcI{r{l9gm-O2{dez z=SJB>WwPBrZ7ST_jCkw8)Owx39{=L{V8g0@9wVz;!=?~v@kf%NN(zr-)r@>bX_I|?dcAVW;UmMVE z+~Tl>aaw=GJIEXnG2cG{yzH`+v=hjq>67>_{Y|(I5@k7~NZ*ITx-p8Cbu?|hFL_p4 z)fYa}m_>S0^vssaYp=@^(xdMy^{IE6h>F$*n2N*fkECCc7h5xb|NhtUT?F36 zKomJL>cm}fbUui^CX@VfMQ+J;Ytor`!fBp2-;B}5oH1>rG&t@gC!+$6aE$;Ys``d= zCVSy=j){)_F?@&#CYd$`Mgx)*h-Bd~1LJ5Dg*YNy1(H?@PqcHoqo4EoG~u-4c5NWMf;~)> z+*YD@DPGHCELw+;DRmSvpgTuBMM{F%a^3I9lr%vKWKUibyM)`xzi&Tx4818QcogeY z+~PZ$V4+HiFA1IK_v5^4J?+ZEvx0s^GNlghPh0JAPxE(tR?i2{AZn>|*6K=}wg^^c z?v8XDV!MkZ?|H)sIEhl?qszpep7n(21WJpyKH{cs0=Ck?SVIUqNRa0iuKpm7>scSL zHw0Il2}7{gX2w1}Cck`KS}Ubi-T{@H?vQRs6yqvs8wr8skydLR#a}<9wABFKmlOfo zk%N5fBBC8Z0e)5mgSg>yE0sgyo?rSseob5RNtM;~sdi5%tmWW#8$ZD zOe4GiasEn>uyQ#kcvdBZH3p9rSQIWve``YM9{t2A76$4zvvcSV_M+^(r@!fV3`)C) zCL;&@{Ka!~7oLIP=tK&8ZuR-p9(n2b^|E?h=e195RxQBA&p>)r!kS`9%B2A98ZI?= zQ3g4p8#1%%Sf0G@_x7Q2=3q=bBjVOCaam>ze+~zsF#q>m;O@pz@K)tolwWIv0p+?d zF$n`$!7!l|qd4u)??u2$F*h94L|<(W(&9Y?Zba8TKp^>YXi&?(S{Q&4O^sPM5`W-K zV4_-$%4AtY#=))$nSG~H*W=OauHJ0ACB0&UY`Wx|)(k7aNlsG}UtK83+gZQV!tJ$x zP8&Kk;l}9`RtE}oSXD5n;=Mm=gBn(N@1Z&gLap2pZY=wE9@ev!lU|p=S^SxeoV7kl zhpUiw5pCMU5QM6@U+d(bXM+=wK>HL{)+`Sl?yY-Cmnp(^ zdm3A3kN@{xPu!-8{o6Ip-^$T}v{}v-e)eD8-P)WMryjn~3=1^Y4SA4O2l${9W=&6G}uN$3ihgIQ{UHZVs~I;zESxlXNtST zoQ^?OzHuH$ZIP~i)D~|5s8g?;j?vzhS5ItS`)gM9tWhL^~-yXeAgXs1;%`qFJn-Pk+V zA>l?v9@`rN&ZvQQ#89vg@ch>{t;ZS#LlW5JX>~k7&vb^}(Sy(RWb$w2_Sm0K-{u6) zB-Mtw!h`NGVPl*OoVwN?BFxX5Ildm;sM~aO;pq++Xq(i&yaCc6R!?KT%BL3k%*}SF zeP_G6mp7W0H$a9Vb#{LdjjBCPA# zYt%B$+iq9HSlK&Aq>D6-h39V4axb?|%ZZI9QtNqpOGf;TY{ZMvo@Q`D3HU_l%{$Ap zfVffM+Aq=>+XUGUP@y{Idf+!*bl#rmNK3ul1#I-Cwp!GThqEJ0PF7WJGy)F>_1iK{ z@QdCd6^32uN&^zOK6-t>+K{1S5wshit`~s-Ak{a)u*U$Z(Q&fjLk<_xYw7aFe$u-ZtF8gFbQLWvgW4t(%_WLigU&Ep}IUR`9p zSR>{dW93A@bZOB;>ib4u7MSYv_u*E?8rK)1y<$;ue|(WN@9x4-HunKqSrqK|!38OO zzI&oy&R*E`5MbCVyYb2IhVopu)lv0c4k_ZjW3-}AA!M-0#4Vtu|S><8Q(VrsJw z`dQ8`z4bs5tTy+g+DZ`%G=J6h;c+L_^0Xp`Yt>Qu(wvr>J>M^R>gjd@TB0 z{jR4@PjrpXQ->MG;aS?VyWD@C({&-K!=xBa$3iUops9W2BTnztfgy(vy=pHV2q8ne zY|V}Certf1a4)D=b|-g}u+PKKS&4@j+u%X6Q|;5c+x(1|)&AN%W1K9uA`0F0@Y<2X z^Db8t5oX!3hBaGJnYHd{(kMWl%y>^tWgv!D9cu2T>Bk(#l7L`0Eb-xgVEsK`VxPXH z4<)s4{eBc)@q_w&+Jdo7=9K;E&wLBtM&t7_ZOhbEjN3H{NU^cLQj(1L0Z1 z{E0rC%90mN+x_=pfh0i+0B?hc5XnG#zfaRqsQ$2glsHH0x*b zbTp*4QIK{1`xy8=JbVoN{==`||LM7JggKjDsfFH0KN_2OCa2!A^MhIq%O=dsYu}_7ioc!{6 z!V-eB33<9c&7XaXbE&k=XGRp_QR#BrCoN~{n>E5h^E}c&8ys&e_5IwQmSc@SNZ(ZQ z?*H%i5)C}{rO)I2Kb(&%(i(sK_Hue9l`~PY=ucrVa1#oQ`2PJ`=hr6V1ye2#MB zZBQNMQ1araNqyQo_a;06&4YJ~O_<5uW&ic_fBmR^M$2!8VT+mC=;Hb2DIxlHX+Ysz z8zwh$GUpJ^LSZ;)9bHqDFpP3AFAJu#=nw`2!@A zB`zvA?p`;NywgBC_zc#iG0fK-*>w9u`zGQ&J>uBgheXdE$jEilWAdkW`uqE)k92!Z zk}St_M(LV{H34432b{em5_A%j39%>0>(ALj-QmAJOBV(&+WzsO5?M~v0cZL5mW^Jq z42J6?o$*3Hp3oHAbVWujqwU>NB9H{^d!=ik59<#4@N8#;KisHZGI^-lBMGz#_d z{rg8i*ja0ppOq=929N)_j=DA?DsU|Z;rw}N_Cpiv{G$brr=^c&8IDBh2N(VUe$9{T zC#%AS+&*4ZR@gVp+%xxmfqYwS8$|hJ*4uS50u+h-Hbp`E1g%itae4f_>X)DEc&eDS8Ai>+-IQJFZW@m1 zeKa6YlMP)d73v~x zNLoAJvPUwhry)p{A3w4}zTIb+>;?_#Mfzq$cw=tJ^=W<-{BTQueEUq+KVuUXTVb~3 zSgCpZS(Rt-XVWK6lo-SR_{w$Cee~$ldFo5g$pm4FHb`xo18plh9oWgWZQ0w{!aFOq z|ND3En}bPC#_==uUAhxYgT->iPqLxDnxys5_OEqavE`^6K}xE+_nEsNCSTg37fEt9 zVK|~v5Zp#ifAo9VJyKk%x9y51o`)U>k@Kh&pP16+b|2n|PSipszryyOu9l1i-3=oj z^a=OqVJL%h(c6hzo$gIRZGin5&B)ySxQcQrrmk;tx3rGaLb~&XzwCm_R?z6#?(u=2 zc<(&>^5Nt8xWC`~t6CuI;kl7VPQN=Xdh9a^6U2`XoGS0CmH4?=w)5yr+_Pzn7m-0F zaZKd)a(Vh2b*7a)eI&o1w_O7rdRe_&>4LN+kEi7R$3~sXlXz7!lj`1G?VChx@iSw_ zm+MtjuEYrjwkMKaYy?rNM|sOKQx#3T`R|5`Ms%E}cz5yU?M>pIGd{~8dROvrv5b$F z#hMUXizy&x>c<;uzUTB4+`H9=aqHSw-|q*3*g#Z{Ffh;M*{~V%+M$EhTv#c+*tp-| z&aPkEEdTdi@`_blo7rkf*ns-AzhM2Q@8_LhY@mLS5EWgBZFsJSS25kTSO%VDc&bNW zsP2!azC^+uSyTpmVVz7|73;?{%KP>7yGGhX9|O^?#18pOFvOm9G)>(mNdp%lZuZKI zB|&>`O+-^scfr(mTqB*gvvN-nO6akNH(fin{qW=;Yg%p<*jM@y2{ifQt~6_$F815b z6roIu$yk5i>6e%;?cBHNbXm>wV9;-C70(Az`#E;18vXkWQ10py-hO|N3C*DU6OX%& zlhO`3@rRaJ?i}tNiFP>s-YeqnwCLtzcS2y_eZJ6$V?W`79}BYY6mwAPPnsgU@qd0! zwbP!~WBfd_ln%1d=M)=aJlj!hBN7uR#ccsdK~le*|1PRA7>r$-&k$^F)ml+VSs=93}{&Gz53 z*eE&Qa*a%e=WC5z!vq<0F*#>+{`i7f_G3W=$Zoe)ZC^siWg15VIuwrC9qQ#s+W(2uLlsA-NnD z<%|zWX_}}Jy|Bi7^v8o`g#f`7gBP$*M7i6 zg6yk?cRT0bJI@>9BhQo6^Y^SdUzOF=jfq=*j!^-)*;RAUt93~7eNpSzN$GZ$wZirK zdE<}G!@iN{OMXo%&63dTbL>$z)dZOmdRQoioE#jPzhCeD$H%UJzVKIFo@~Oaw;ucb-DQ>H zPGsx(^Uik!=EvtXm6rrAl$dt=hvuUOyzK5-M&0)QJsMUoKyIUnp;%pJ+Fkc%6(rs} zZ*Qf9@HR8wK58>xKR>jCqK64k@4^_X)y2nFV=-!z|c5I~#Nm)4VVK;J>f;{^c^W%6&vNxPoAY{m!tuZk>OTB7Z;8t3qJ%)o{GDyC>79 zzuFF{kTqJ!U%>H?KWFX{TIroaJ5A2zm1S<9dr~9J3Ygx@?eclt@pdcl-2VCT2DCQF zpP4o8{Aw`#{&nU$M*7chnwl^3984&P>!-i%2e2g&C>(mvZ3LOb1ky%XwfpM{c0Zj) zKM%hs*gGkYE>{Qy?1uVk7KbdQF4B97jNeU)M?8(o_Zo<|U}_PpdK@%GfF1Gm9EWJP zJE6_&95SZZu1f&oSG&x5SVWvvZV-(XP@C%$T;*Hja|8|`nWQ~UPe^TZ#O_j5hN(Md;uo{n^fF2&sP5x3j(oR|gTF zXGERIMcX#K#V&4qY~SDdXZVck_LA(54vu%FQ2%}(Pv+U3zx9-&9;$D9iQ;3|QNMb* z^bF1E2+&CwuJx#mqq5_24>avTrrz6+fQ71M(McYTnZ(Qkx)fRp7q@C(RHg$2VK;nd zg4ypLRzh5g(Yr5w3v$ku^p!94cd%ZP4J3m^lW%8nY1#9+cA!DDPPg7@C}i%or0sTk#EW?6aekc`{SDS$eJF=#P@ISbB0Qlg4+K*NL|)%NVO!pp4WceEU@<^W z5CC52D6P2Z?*2r-sWl_OTTTd9aHsgxes?DXcPi@z{0#~7wdo@tt{6UDFjH}_iTqsm z%q%d_n;@aq$nBxR_BFB2kkYeL+I@`_>3H$Q|LaWg(<(FKpI6gI6PQeCQ6B*}e&nk7 z&O*sl13Hh6%vT>1^amn)ZQAMjrd#hK)#9hS7Od)TwD;x_#0GF`&utbzTWB-O1^wjp z0b0ut)aWgJTZ7k-qYLYcxuTl;*KbYqSEDDq@rphUuayoWL!3|7^J_>L95Q4OLhKTm zTqU7f2-G^d$N$@WOsU$q*ynrnb_@E6p-g=66)Ygo_v~46?A5JPe}9LBVOj~?K!mDF z**1Ep7T%NBc8?bl`SP&CUw+9pD;VpKCu&XKCVZ3R_DiFUg`p7r3Anr_T6~v(SgH&4 z^0RhQ#I+F6j0io5YX7Z6ruaYakVUvrPplmfc;U34O=CoK0gyEF8a-eR*tKOG_ZN34 z(Mnf35xtu_6c1MTl+v?_I(H_VTw#ALMdlgR^0!_#AIGULWvy3P#tQP&ZF7<1?al{5 z9o)3-mJ%8S$SyqY`%4Mokg;(*vpYThDQ$O^mf@+adzHQd3fP zSO3+b{4*6nBF-~`6sL#=%-;o%TP!5V}ADejX?j?Y_u))zW=PN z()8R;ePOB(Mn%U0L6lM>z7d;>wBCmUJ>`GBHCyYqaxe4(-pD;^-F0{he)gqt-4{?2 zdojAAx4oDb3nZKYz3CIy(KJWTRwR!OvzAem{kmX(Hp;5%raZ5~RD3{;j3eD3Z(Br$HLRznd&u-5);rXtxpt7LPnV7G7ksXP%lwj#SB4+qaV|Uf$KK&Y@i@Hra z+`A6ar0+}7BZEJ>%kPIcP8Y3Y$p&qkL$K-YVjsK}`ShJboh4?y*MFY9Nk5%s<~v4g zQpVOr?~VRlaDT=B?!i4k_brIO+7np<4pX(6^^cmxkl#lYV3g-@PQHE7sd>MZtBMMD z2O()t-}6>^&E12q5`&D`X7f@%jzv#wTm0%H#{(1mJ<}`eGW7zT4uxR}k&!kICJxr`QUDJ=|Rb^HIR1;X04rBhYI`Y?C(fYC$+@>!xzzy;!l2Qv%OqjhERL26TetxYYV0l@@)1E)i(+?jE`B27v zTx_v11ZT%T12kqJmsFARxDeN}w7tya0ll~Na6hPMvFgi%Jeiv2B5!){CPmM!I4&VJ zyVrbPA4#8nN5A^FG{G>;l3~7l05$Z-*+12^l)GDx9Sc^U&^&H=1JP9-fxWO&$|^wk z!$@tJWbu2PrI1L}#CzUc$TKua$0G~n&pUaRV}G{#T{_RkkLSSZ(c30YF?ZHQ^5X;E z2xM`z79e{IhyzBW)mktjg*dIY>23E!g9u5XhshDl2iX2M^QIXd_opY$R1poe!LQl& z<&t5Eg)l~MfA)_HAA&yk1wfD$jOE!+Yj3AarcM|NgrKM=G~*Px9kQ-d?25^gv3eOz z)y&YVyK?gYJg&ooV{ATZmk)SEq1 zDL%tJD#s08yYKs})>JBFJ=II0Nr)d;t@X`@T8ORq?Y*VG`0pnsAG5p(<~_}hTdMTh z+zmL@MfqjW?1Y{m+5$xMYTDcDo^CRA^VQrUy%|=4*V(tj)}VHngUqyp$Mv^XF2z*EV@;~7}|~AqOxku_B(!3cACUGCfdtYNqsi2^h+;y{mo%W z-&}yqwzb*>Ts}q#Hvc`wYdX zb6fZ8arpgJ4VW^X_r4+cH%+N_;#1ea?iFfJH-eZx9$xXTc(d8}ykW1S4J#ss84i)5 z9Y9;32-7b=9xb<}o1`gdl*Po?#qr_L@>)1U{C5c!kxc!~(Z)!}%0k}c{46hWPaeUW z1N*#v9FxC$Mwa5NxA!N>Bg_XuxcNg0!y_X!8hahRTqerEM^7`ttk{;9s*VSLlXii!-hkUzo+Zo9%l|?~>kDz0@Mrf{oDFL8;^{?B%{zjN<^mwwNo$9qzbL?su z@%<2HDhZIfygpNDj2ac~wVm}gh(gu>k+uNiZowD;Z((VM3khs7ArIx zg7}`Vy!}Ui9cbi?^5thOGyHZV8HipVzw_LSvZtIWMhG}U(GM-%-m&>%d zw~H*j;I<+@AcOzwwIq=H@_Uw1v7%@W{nmou`q(VNwhS5)*|Q`El|P=148fA!iu4YT z^Z9e{8rvpTn>loLyl=0??O}DiU9#q8?Meyfd)hoj*Y&OD-c!&FX|ORp7@X)mTX*0j z$D<$Ks1>o__|aT#aUa^^oEFuDSkT7 zHVNnYDTVF(IR%?7IaUUiK8phcO+}8v5ya@Uy1|T1L>xu{;ONz4AZx5G$yX)b$&h}?_q|rZpWM`JsNhz7? zT`Ij!WV&+j+3m9Jc0GrnmB^anw~NTm4RIZ}^^hP}m)HT>JIBJL?fWzlK(9yQ!L4}? z$Q3V?qxYacRwr8hDoR(_=yGRbuKXujpE&BNa+oS}f|oO&YbdL0Cfni9M}xXWHVYe_ zX*0F$AI~bDK}y`SKz>(;=n};gFpGM{p+m5;w_V^>J!^pBAwP^$rQxmTbfL)QK9+5vw7eCw~i=P}NC5C65H zWFRogO+&gW$d$s2lh{4FmKpfq*8@dPm6h!zHqNc`o0)3eF5~<4`uCh!59sXnPU9D? z!FPc<-}>g@tphSDDmybtMOt_H`K(U1U|P9-r_uN)>eaGK}xwA;ox6wdsfri zb}2mM|23j@+J-DOSk%3ET^Q@~qt5gM0+_NiykqLzQ)bGwUX|KCAoMs@6su6b>GZn4 za*r^+saCQd-p1NgZW2bwQ$VY)Zx^_5Mypp`k9MZYFpL|A?qP#(^7%k!`;l8}kQa$G&@OZ5E8GTMue zv-0bNz_-7j?xtq@+yIqRZiT9o~ z3?022^!z?|Bpjx1cm5E`W2yShbxp1yKV8`VmeyKm@5TIDVdz9r`~_uV86rr}f6A)_2>w*~}b%IC+qlcXCo(HW%0MiNErySgGHO z!ne-HWebwZqb>D7+6r<1Ps_w!R+(BRvQ|Pdl54M zO$WfemjV;F92Wi6`*ZvFtMocwRl@izP1;rdJiEECedn#3*0E}ft`05r)JHUiZJ4pk z4c5oa;i)FwBb$ov{`1wfxw{{u_6GW}IFN#?fwsGUU3u8q#1lJdqBxzaCS6~r>gm>s zLR-%Qev*mt&b#&P8Jo;>pOAwHNy=T!I@+7Bfd55{Nrvm_E8f{5#nGmfZi@h}jSRu- zPQPWBZ7(b}SOJ&HSas}jeq;5L+yuhv7^=khwZ)m|W4+7$=|*Jltz$L?BCjgz#~L-m zrmlqrG0FSy=QEIzB;>XmFEuq7A>#_97jPGQyC86Bg}}d_-5g-fJ;~HMgXothGcj@B zx=Fl|vZj)WTu_!0!~S;PKE_R<&en^KnL5SEemfGI)#49z_i+5G@wsr?6PU;(j}mB3 zXDeeSEKm&^zyI_3G?_3$j@|BFaX?7bnvU+_*cC8U|3WwRu05q;gPBd_{H7 z%Z|DYPe41Nytf!okL$)? z5cv>)>xR`eUn1nIktCiAoSpon-*h~T2cSETpYdIO1oc?zN$~tUT9$HjXNmruQ8Sqo zh~SqV{mF>2rw-0_tRJtjzAT@RAhslba{xcqr;Eb7*bc$Q*P5s0Vd^~fHmmo$4MfBX z?sHglKt#j2@AW4k#`MF!2 zHyGeZ@`MgD5Ul-ojWasi4&W9^XNRp;3w2y`$D{vhwBQ7-v@`ZR=mXI6W6AipF@OP} z;j@dn5R9&p-HFCLhjQ-R_J+GTVQqYmwf~U2@p{X^&q<#bOd|92Y|Z~&Q{ugQ5%<2t ztSk21i}abdr94+9y{ovVa4vBawuJw*6f`y1uJ(7?hh^S<3+qcg8z?<1^Uh+4;WnI> z&fi{S27kh_n1 zdKncL^`DEz!-=DikD(9>JzkO8Epp3*51orxPPwjU-vrj7ecOd+u^@`f2 z!1?* z;5Z&OT3R3PrOO8A=nc43Ra$fJh{cc|PnC$C&mchS9Ev&+0rRwiVUihLU=Idg{AZ0&HEC-Z)MXr3Zf@;{qblXF9#owQ5DN!MC^7>3dcerBB>#(t){!#8L@MbN#z1BZ?&TF~bqM zwN-pl54ob6@p!Gus;3|K%;fu_lvQPAVR3zol61aIbzB$D_Dfkj6W#CjW zHYRe7b%2AdD}2P5nfr+NbEtDwi=J95T?5|B0g!WK(!fv}gb`x*nw@XtbFv zBppwjxmsB56{Dj3_|7Sief?d$O$7vhoPdFDLW66|NS|{kewyycCa?ysFGR(*Z(dF+ zG|XZ0N1pv&VOY*hfR?!WQ5pfjhVYgxBesXfrw#GM3yqjwZ(nWB9kdj)Rjb~@EQHE} zG10i&+dCXDg#G4pKM*5*Dws+aLIf(d4`|S_F{y57(Dux|8x{7s`zK$OWy@#6Q^;k^$%BB z_YQq@ny|!4oi~;0Ki{utzj^RR*A}zZH_wz>R})&AiW3er81EdVW^mHs<))OfUR?@* zi9v{%97!$|K0n^0^ohc)3&-6c1-2zV;bRI~bGTYi5XU&ef~iMNk#_Zgv#(96vX z=?R0i?9qA%KOZEeA-wk1Yo2$x@@+{MbNUuP`r*1$c)5Wo-IOsbfc9Lu9jr+O;!4Fi zZ@;#eGu(PZb}o!}dfc7U(zsI=7y&?_Xxi!lmqiq-QaOUKyit~r)_*M$m`va?3QW_ z>7s~;lS2@DdH}U(J=6y12fV@&5cZqiX$~>DWNrtEf6)(CMX4 z;9LY;7jSc}&9*a}JUadLSc!(AnPkgI-%!tc`AkaFMoI$c0Z?r5s*BnK%hc_&N|g2U z4Nt?ZXLkZI-*Z-uq?jP^;U03#< zOm~5Y+KdgsMyhOvFm+?@=Pw)R*O!{Qs)kG*T_VRh?2n}|*5Cb_Tav3V8XYQ9_mlYu zWp(II{utxVKK8D807M=$TNck=dq=|MdEDq)`95EuPeynkT;F(pLOv~LW?~Wj8pvs+ zossfaANOPtFAhB8mvn4~lXZ=p`+#{r|K}Qc!W&h()Ads?4P|WP2%kGH*NMh_ym{T# zH}Z=13$tI6dDv6swX6t*4*BCQY)!kBCr8`3D)EvFi0b)#|9y|s%fi1XhdA-~dnad` z_CRA^t$iB0)A)rOpNnb4cQpQ6A-Q-$5khaHHS;P&c$FZt7o6h$yajU0zuS0U-Y!US z-3-qhr2mfrM%t$E283E7kABVfF-)8|Yvsv;|At)i*@k#<^0EORjea3|K!oohW%${B zeSKtEkRZ~#+`6k*Bvz36CIk+oV`IY>q;No>Ba4QXNoOK;{b9ln7HYW9y@&+R1(VEG zoCHl8I70PTT!}{7_ZrHHh)!+vI#%br-qO<$Bm6mooe%M+h@;}bEo-}xv~7ou z@sHc^4jGs=?c74>^FnWS+x@30B3|h~qRVe!XJO8m6SMHVx#53a8gTR4^|2+#N5%;9 zd5(`UnZ6YtQ+b~RUgHd`N*}2i-|)6e%+HZczFNZTEYV+GUyII;o|r4c95&+hK|^Sm z-sZQrul8VR)rOJHD^B{bMUl}7^Y!Rg&CGUzdvPb%q3UM~1?-ILmY-^k7Ho%A5&JLawd(!-IMyl}J( zz2ajL5Wxmv))Hr_8AUV_06qAzgz>t!;Nve&uhoGpu6tzgNr!$ZI3&f_J$lsLd zCvCES!BZP-lB?*Xnoo54Lmg}jh}r3(r8%_FoZTIk2ba+smdgAg&Fbeo@PZWzBJ?^L7^+ z_X0tz`wH#l;pDpLTP^j-puMrHYOozY)QP4Ms8;GF-c_jaw$bv$c>EzuZ1mhxx+iv0 zOdPq@_1lv^Ip@Iu2lRq=)$=u8zx&LPHU@b+Ja-)OKtH!&Ip$AoJ-VHd^Xc<|$Ry=b zTA7nnZ)=;QTj^x*yxSz`lqe%bW9@*a15sUnP+;M_<~_WW)>yNv3ha*)RJ6Q=B)Kg@ zW*Q$S$W88CENH8N`&;dibU8fA>5Q0c5EBiLwc5{fX|!#j8SCvit>hu( zYnd2t1)Rx=O|RqUGx)+gNgc7CqIg-|C4EgJ|8>n#Ggd?cDr0snA@UQtqjuwaCd|LL zz#{fzd_Hqu7adoL2O2&KGp}(V9^~l^zdibm9r}$=8%~=A6R{6}d>y;uo}Wk(?g<`a>|DQlQXOZ^=Ftu)IR+KRh1W?Jt}&t?i3wcX z(N-IeJ)drmf;KQTmD=-WIsIh1ecB5zW|&Jm(c69gVYl53?rC3lM&_O*WqOU>?#6=J zW*7tSQk^5M8BaCKnoK|#MF!(VZ#X zc>1f4F4bUO>}^a6ak*xp|I(L?udny!xjJ-%+*a3edwFSxO}rcYuO@A^3lOZ?i@}xo ztbA1;=*m8?st{dYDSI`LNbh|6ZVYr$M&~3RkJ1|F(kGfS+pCvX`fTdz%|$$X%!^aW z(2ql@YXqHl0!`oI^K=-;tFEL&GFbE&zK{+KKyI+IIB%lY+7jF>oTkY2iF~dMOb}kt z=sJD&+h5y{Te+!|b{_oGs*E~fWKg9JA^;`cPEQdT#C`N>94_r24R=0m-gBENtak@q zSlL8C;7RRb&kr3VaLy4gi7c1==@Lnk(DC#V8^?_0r2XRnFwjnR_UUbye4{_36p0ZL zy%B`X6JQ6P-y*X+*DvfEnN*QKlfgqO8O93@kYx0tuE6sx=7R~u;!!Q`%nCuYkWfG4 zAb9m#3PADQ<{P5<0Mm&h9K?Db5Gp@vx~^CK8FQe`jt+ak!!Jh_M`;6L#ea0yo<4rI z!2Z7WQM@S`V|)3ufc}>lnn@ZaWk#BL7kY>0U}!VdSh22HGCy z{&47&@wkblD$3XAIWbmu=9TS{fsNqt@Y_du#MA`UOO(;;QJ`ZVoh5edl_c1*)9_f0 zGM43%yAw1=pYJ&IQpTa2t}X>c;&i^B>E}?rF$=N%xMc5+Ij+WSaRwvjw|0HWN$dNe zirAY_`DMxg!PlO>R!cif+E>5MfA#CEMnOCBI*A)Te>VF9*F3#!*i129K0fdc-{$ss zNAE^Ga{U51*fF+IGtE-Jj`1{_o#BQTvS=y`@ahWMjB~i2_NWEqJ;1o7{)@Xxam-At zQw9v_s{zZ2d>rEIqwRsbY-ls)c3(CvA`}tfj&p)otGBbZyDZn5bisgTp_2#KPC6cN zuIehd7a=(M;+lN&&8Fv5x!a|Q?5xjhIq)V$E_Yla_uWa-h^vYK`82b3^gFZU_iRG4 zwUcpYDR*~Ow=DfQ4s`o*z$wy`uLh6oF}K-?+8R=xyRxONb~E;2FR+F#sU>4$z9p)L zdury<_qN#Nf<*_}<@$NxQ2{S?q%$3~L6bIUZUBy=? z8O({rvid%;oK3O`@FDLxd{Y$BMwMYl>xD4x*Uyn)Hm2yOnL`+Fh}qH^+( zeK;^zsVw@gK~I0PD)|uqmjK$_!yE5d6b)O)>IH>coV-Dq4cFMn`u_FX=d%X(b^Tl+ z-Bb6`;27c|;%0c2M#gf$MA^f@<041-1g+_7ynWMk19)CMND84!$6MsaaZh=Or86o` z9jm!YGy6N25p`Ab;(9r^Yu7JM5W*f7Xb~P65wt6n74SLt4)&)H<}Je~rO`@w8l2EQ z$IiBls1;H#wyn+C)v{AX+;ep&s;|f@`rEj>!#A0>zdcWdOJ!d}cKR`{?&<)|YOs4I zzvlF3%2SgYHk*}K+p+B5=jgZd+uRTPfM+CH^mA$411B>b8wtVAP= zhY4=XE6t!3p(Jo_HyO8F-QP3roBr+h-Y)qgV~O>d|EK}Lk2!TZl-{A5P6~7TGC&SD zWYFQ-dlC;8;Y&3Ubltb7uTOY)wx5)688NX-CT1*^J_e->tUE8S&G= zF@r__?Ghch!#70}n8wYfR*y9K)|CH;tv6d%6kWS;FNgzLX%1~rL=dHiGddLzkyha9 z_h9B)YyUf9M@G~^Rc56V;p1(_c!nh(r+@YX_X^SK&3c2Xx0!GjTx5ke7@{=55ct(o zYpKSgNc%DZqdtQ!h~`3_74w6BmM}6a>|D6}&BLrV;j!EdmdA9wO1X8JP#^kV?`#nJ zzaB?D1_&s4C}(K@iquKqK+Kn4LYj$#onbBjw6(8S&8>^w$a&(yz1_xF)_x9%am~RF zTKyS_e5HX|VA&)OZ$0qKL(l2i#XtAYGE;S@o@yrbZO1rVHy6a&KJ5?ixqGImnQc}y z5N)rK?tlKOU_cD0^Sat_>!r3kjL1GHEgzzyfZE9E1-?WA;(SXuC!fVaWc?;_niI)z z;d+mOd{RK=YmSwjoGMI`-9lsydyB#JhAw9(E9r+Jo`I^;Q75yyJ8Nc zkL!?%_jL8wje0fr$FY`%Z^si)+iHSsjipQJhGesM0@Pr<0z0$~p+HQ?`I!Fcf8Eo) zwceQW9Wl%&X8Cplc78$0%^1TMf*s-`X%>5YmhqowvCyHTLSDm3?eseE_S^|poN}M< zdWDS4Z`C&w`owAjinoAqJYC`mmgx`jD zf&hrAE7#)?kq_4&yY57et(^RRom^kxk^wXCq`qW3#-5>$MDb;qc-7x{lK{%V2?{wk zSV^{;y7uq=XxGt@ew%;SKm5D?c=-?HofMD+pW(KqQuuzS40W)6y*9fDU`E-RIYa@> z3GK0jYLosEhS3~{Yjs4eRU>ktpd3h$$4zW4>Zx_|gvS7>M~mfCMk^@#(LvtuKd4oa zzy6rdz`YOK6ewBg_-1;@6xyx<8saUt24OO%<+OL8#1nqxlTRP*(Im!Da?gb2f_d>x zqpM*)&)>>osl0m$FYKVoc@rSVzyy&_fOl5c56{h~D)d=Ls0(_AVv{uPI-|mH6mk=x z9$wN+P_HWF@0TNSxmY>&Net1&$$33v+OdB8PUbZ#3mN*n{{7%~h=3Rg;KH4F%h3ad z&%vL^;aLM&j~nZpH(W(Mx!{~KL1ff=)p4<(1r^mb5LE4?m1kJBN7c+bw_|)ak!+uC zcV9KJF)$%i>voIxcZcqG*@gVt99RP#h&LKbkifyR)U6d*2AN0Du^faJ}=2dEy>(+@3o2#dxAoE0W{xxp5-TT!nmJ ziFp!8fT#D2dB3eQ`D3+d4dboo<4@Y0tcv5281vj-TApx zu0NVyFGB~j&RXWfdQDUd$jAbrxqW?6PCOgGxYYHzp-{z5Gq?b-4Fr5i=YK2?=YW|Q znJAq?KXPfe@NP-#P11>tS*TtuRMXxh@6V5mwLJs2vL`%pB+yI>skkl6xzJQDn=2AR z3K97(^BJ`mIR6Pax4$k9%HHLRDU@3sAw43!l;Uwam}v zUJYMoNt>38_i&7EPE3MQ19NQaKv+Ly(~R%8bOACLfRlP7o;o$8FZ!b7rZ-I2m8}GZ zz~tks4CT3aNrkp)b8*!|ZcY*3o5@zR^h$pIA5I8{mY1ovkUx$$vjz4`6UW0AlW?%Z z2sU`mN`BD__aK#w+>K*!N33!DTxYR(i6IDUzs_nAsPMCW@^f)lO*B$T5DZ`etaBe# zweEGHComLejT(@b>I!Dlz254QVnkeb7 zBRYjz`Qw^w#ZLPhl0;gj)X7}*&YxsMDG^FmquX=(dQ^d`@EqVTwRQqnizk2!USfZc z&$^Ipn0FEHG>MdU!c@0FIGh)!G1UBLpK_1qiQRgp&IM>}PskSY(K%pAc!27A!@_;N zVHex?Yb|1~&G%ILT>i=|ybyVfetMzK=;BmGf_&V6pV)aIEgq3f<=zG#Ege0@2c%6Q>=7<&SX}g1&@mVd_uRlG8rL9oa3%mE0bKC-Z zXj@L*#iT|`+KHGl{%|g8n>=(XUKG}7+Ic-JsZsK%O1(a3);~Ui;l!LuKwd`*{Hz|BQ z{Ot%iBNoeCP=`Ew8Kh=|y|)7cD(b*ve17PHR{TnT>?BMJ$}$^IoX@<>YWFIp=ghDf zf<**81{Qgms;vAbhkUzdq44#nIq5wGZ_*pyDVGi&Q`!!9t@*l+YIxkUVrE}|!aGwB zvE3PE1~rE;iTkreMDTss)|%IL(YOWos$T6l)Hxw&VJDEZxy+CJb)P`6g55lc7YjoR zqMY26!nRfpZu!PCB+zZY*fx10D7n?^5-Brx)^F#c6JX~F@NK|T@RjL2njcqqiPrbU zQ?fo=AsOPQQwa3Wxy3;=6Vj{#KkL*Pz>2U=r{GGMBsx-cE{kK05qIa?#8tnNw&6k5 zAfQa~6$0EeHy~76P-`j?u_^<_209-@wmgv~|BqLAYQql>ne!_z2EB^o=T$x)XY9<( z3h?I_+t^wa_6MHy;)eB65~(8J((d-MVuj`{6=w;M2qC%D@SnGo1K=vmvu9j3E4fh5lgU9i6kCs{v*#9 zUl-k{7Xy276wX-$CR%b;;gG~x$nTq8KG;&dismf!W#|Wi6|h9)8CgAgYb}d-qakG?=E+Pl&;L&RJr!nNDAqbQzS_&{LEdqoj{0y6 zw6Ua;{JpIAP__8l3r4(|4HB;nl-2)_b}zXyA0@_#Q$8O`!DIf}-o$6}is5X&HfB!W z;@K0UlgCfOHRdiE`}<(w5cWM4%6WnsEB_MXB&LeVo|lB8i3YCwPW@an^jG&}56k22 zMu1I=J>IniX6o8KF1zf>;{EYLlt&@n%#z5C4{`52#+?io@Ja5v_lIrc(_YAC{&M{c z?w)SUxAEi6g^V~>o*jRfchK$6pS360KX*VsV=BQNOw~*bh0|5LHQ*7ApTrryb55yI zYfnvUZQnosVJ_f$h_ctihNJE=t@eE6GBr(cD|PEa?lW$RJn&LVSL$X0ueAfk2p5)o zPLQKhCVunbOcJ1GJ2#X{=xprEU(ZuRl=p(2)^Uml3p=2jPV5@LWF?=FFh_;O?lI$$ zxdcGFugQ!WS(~*`9_q*&6-VKCy{fz)(T5N;$ea(rfpmT_12Jaz==ZJHSKu!3bbDLaEBPvhPU}g(!Ifv7d9Y6 zBGZM|mSTICh|Q;oEq$9Q*8~>YJEH4y*2%o-^ukJxq1xMM;0q3JOqV~j&4B*qV#;?Y zXn%MqT>B>;jh&c|b%4omzwfeqZ?@l3&?&YCL^uSHJ}634`&_Ix{2kh85uocXQ$la{ zL8B;EEB2Vv=jz+o#}N=?UwBzzPsd;K&VdIbkLMQ3Fo@SIaxoB5tnc4%!aTB$eD>R> z2}8;FO1jy7mtdXC74{I_zu|Q0Pcxb}?@(SKJ`S?D5)SV-dxfx2sOYW%aR;rC^5+2(xbZlU47@uMujUcciOoC-07Y{Kxb++|k)!JVL z3)jsEof~(r^#U1w=ZU*n3|{pWMP6^k@k?y*$a1rEvNlJ#Fq)fOZS+@q{N*|cE!~vE z5KH=k1Hy%e&$<5ETPJQwH_>2pAc+;Or#E45MRNPDe#$m2nFHSGMz5Pd1_yJ7z$EB>c3TffB3`|tC? z90d@?qnc?I(>A8@7zm<_6V;f%VNcgt1~kr*QP%5q{r=5T=0E@x#BDf!3Tyy0M{~`s z7#P+CVk&5c{3z!PK2Mu{M(@4s=K!x;S+(yVne8S?PRH7c4RX(3}o}fR^fAjT# z1%kYrf}+|i!K=lf(+lArF9lP4ls1AQ%>fmHQv?JaISV2Zvu$*was5&pqvaa^hKNT@ zV+nA=)#rq~RSlk%Gh$@-0%AREulwOx>~3FiqaoMuQ+)PMU+nRb(5*YU(@V$LlC1NF zD}2~0w&25r1&8#~N=3egRXpK0A1>zgaSiJkK`^+!`1J6>*2xtNBRD9g3YNAsp`j}h zOnh+kIxqw51-3d^o##focAn4eE5J2$Dw8@i8!IzwONQC@k|4|kJCLF-*mRL=?VbPS%?}7b=@=(Ns#Ixu*zB|m~Y07jATiL+KUT0;-Sff++O88co#1v{L#n4E>hrVw+EB! zmg{{z=li5<#hcwq*%J^wXS+RuGR4ka?+46xCz-r|6!=c6$F{=OiThV;{87g`!k%dz9<6Ud>R&dH*+aQ>{0*6j$NHy^dcUYhK?@6mHzlR6qJp z;Vv1C6{fuwE3{Plc*mPL=AoxqG;Oo~(xHjekZs_Z@9!B#x}KRtc6XgVJ5zfrvkbp6 zScuPp{j{z2u%WqCPAAAb7aQ~GOVeD|`SkO>=bdcnis$2xX}psj9mM^OCV`u^N%ZLY zbPwm_Rs%CdI1b`0LsUDQC61?}VbkR|;d~-ka(rxehu2TK674vyc@7s*6*mjCRo7f%$)gbfnO;|yMS~r=eJMdszO6zA3{H4-@HgsJwKHhqzYl^66r(8J%3NxLnTfqe#kS^!PiGfy(Z z=_!r8ZZc$)Av}s(b9D9__lQOHXrl-Id_NTj?ZQzc#=-w@F3aLM=SnhnPj=;pi~nbL z4jxE5;oLf3J#!arBN0lIMF6FSQNHA*0vQ3EAL9;lVVI z^69luJk?alS+d&+)Ftr@T)wyY``&kE{P%9K9B*`v8|)^Zrz-i~->8d(xI<_Ydn2Ee zY9R0>tWGGp{6H4MOlSKhUH24XYMe{qxN**cCCrO4(y&Mxh!5o*`xKsAk6b;qToL}D ztM+oq3yybW+aa4TRES8<+g;Zp8QVwZcn%rcYw3lI1>24ikeP%y@r6g~@ySA5i2rH7 zm}tkAtAKL%o0GL7?gKDrTI*!LzXV9|%Thl2}$5vPY-G-Ok z{MLS>zF-u*a!hd|Qo9}MzUez%4eRb*LL(rL&O5>a5FBasAe3mC3M_Tc2~m9A>l*ea zQ}$I8l;@up2S8A64g7=Z{>|jt?t442y6CAV9v#HcLRY6$BWAN5AW?G~NLu)sojU@2 zz_Vz(hZ1};lig4Lq!HRw?f1o^3kS#-*IK|(?jKjiY^`SgX5>?F_0K7CKM*Ut7 z;0nG*fwFfyDSda?<#1D)+6&s9cQ8Wt^zTu;Ucm0yy93$xT*p3_P0+eoY(PRN;>K!~>(#kc(h%TSp;)16Yd}{jt zem9A%z9DOo{u1DzsFPD5)W!pHh)D#lW{<+pJE*9)I-<=2`dM7;W}3e<+rQrSUNn&^ za{LbZQ`ptiM>41wL~Gq4fgg>SDQL^L*O;I=h3OgZBNe8|Nil!MPCnX6GZ!JQP%4qL6fRq zu0QCPal>~O8TWhhazgFXkc7mJ%ju_7$)YbBl8AcwcGx;UeP>EBr4P}bn6GKPbre&0 z$D4)U{=j1ul$+CEuD)}DBJ~kPYjx$kLd>Le|8ji$yIK8?LiN%yb}#&5f59AK2kxm7 z`Zlrxt&24AxqUnw^<-~iaO4O&*m&xZ`hHurjB|*#q;r(CY?iDOA{ms5;HFM~j3CDG zM==j37?tF{>CgOm+4*HJ(i@OS05>-^+mwE9n#_Ovy}yQpET7qu6nQ_PYBQ?>P?O zv0q~&*H{b7;D6rm0;T!w*~NYF$XO5(OVn5VWY)grkVZlrZ1I(s2-fxHf=X3^ zdw8I{=3%8Whb~lY&Xp7F@9;ma8Q_PoSRfsnV)YH_h`XPKEN_S`8FgYG+FQj2kQd|LqGn1a?{?B+MBO6lS|ZIhlLw`!BamMdHH2gKT4f~+7^^($9hoodHG|=!i%dq z#=|o1((b8kU7Ttn#*y=gsaDyFG5Xd&j$fu0xLyWW)NDl@3|rT)$sEKqG-)Zoei+u? zfN4yFd4Pyc3&6j+?PRbtM|h+LhpQ~eAI{DtGBqvB-|+mu_EI+O4V5xRWrVA4${dRQ z9eDI{)oIyy(WcWfB26vN7m$Y?7erT=wRq-KFNVFmqmhI4hxPSu<#AeQ#T<$qZ{+b- zG}3wZFp9rjOWrQ>BAU z(jXbkZ~Zt2l+|g8a(}~TU4AJVfga*iuQO-zsTm5LD179C~FsL z2{qJX?*sDozSfPn{X{!RV4`4<^?0(*Ss{w&Eg0kUekX*(j>Nm3cr#DM>&W_pB>H=F z4DH(^J#D$LD-YY>nXJsit*c}h`-d>=G5M<`_)$%{l1u6bAL%DmNln;7af$xx7;qPa zrz#xM!_q@PPmV(VZtt(}28#l+kPQtS?+$oX{N&$w03&$tBaD-`-GipujD7yQW)PYI z!}k8vuQkI7^{(f6PmT!`#b289^+`kDhjm4o^Iysxu@gZGVfRZZ%mY7BPYwe-N08!u z!tZTmO#wdP<` zKd8ffKF0g8Km05NK!n}v#{dTO*)bbogrBTE>Er9)^|R!CgXs54dopD={yu}U@P}XB z9=X(@-Bnv#$Bb}T-UT&cB1g_I?xls-pJg3dg<>Nq$@`0TdlUpGbo6Zr(8~B^Cpg4c zzSW5P8II$z{1OJgKl|mH0V*Pi*lcku7JUVSXa(HY(nS}l$vya{!rx0=^X{`NhIEcQ zh3fQZ_Pj8me5Kp^xEahcr)CDJlAorqQH}Y@&ap`K(C?W}brcn5?&^rOwQ8mYi0jxB zT94VlB||_13Q-k`HF#JN?5sUM>Y}H~cAFl7a;OLw8$;M@wF5}hjym>V+yJhf9FG~I zCY|-wdp(E7(a5UH zMMFM|b7{4~H{NPs5 zr}P&n3lI`sXWw6WgqYV%BsY?}Bdg&7r%~&}=ks1%`~1BPYu3ygab|O1Sw0+8bqAK& zaC{EqUCPH$I6{tftS5vg17&@weKuyJzS@jDu^iUjjk9COlnitPOfXYyA-4c}nnSrD zd)H~Fr2lMqg&>Wn+f0-hTB0W#NB8_OaXt0(9`~T0Xzc#56Fn&UHuL0D|Y@t(DmOJqd~`(!5(o-)StIU4Yp{?szrC&A$3cl zzV^vcJLuP%)3WYYuP@QEo0q!o>tAPHgDwb|e*0-b29})s<6jmQ7%eM%h1f$ARL?;g zdsAP%Ib;`J*E)RL(0x#lOjoi>yTV4Vl3?ubeHc$KC9Ud_0mp|dniF&wJI~rycbjrIV*Qgs3&|D(XM@oItPakUG=JfgWU-Js9juEtN1YYU=?^-}bt0go* z*KJ?bUq&sq!=g*ZFTL?psgd8cNQ~clrbQ*lCm_J|T2grxSATwDG>l~=3fVgECrL*6 z!5`sT*v%AQPqV%|w~V5;8u2a~e%wt{SKhXn-WUpSlqb1lGLSx>m`7ege!oCuVO=a< zc_UB-(DM`AWHuY{c@9|2J$dx}alC7opB`}kK8T6HJm}`XGndki>pmVk+6{Arl_EY~ zeyF(Cy;P>$9#*6%Zuxt>;QyMcUwpjdHS#~5_>bS50$<27plG|BDAu27+t#z>bOXkQ z+msU^9)ysW7Cd3!46i46E4PQJ;$5_Df;q?c*;|i1s!<2HyY+%XFKOG5h&vrCuioAK zbkkb-Si&cBEBnitoxP1PQNQuh9|$FzS`fNhE!!Cr(hDq5?J}EY3&8Q#9+j|Ki~5?b z+ic-YUqW!A!Tb91=h6OR%H;x)PK|H7UTUm-2l$fP#=Wun?joTyG}!AdqV4*9HiTZf zZr=B^rI<^7X7l1d{g#1Nl>L>YS{NVTy>5OhuLKF=R0R7S>)#j8fqBGdjQPA+_{I71E69`;a9<=yNo-97BKHeaR|79LqqD3N? zOq{ht-*8&YrNuXfJI_BZZ6ia_$SO??^*udrUzejQchs% zE1y4uL^{_%Z-Mly)Ll!U?_T@tT8PG+6~jCQk_>Pfw0S3W2taz0MO#(0I-Q`7OvC)g6V_Ns68emN;q$HQZ9o_cSB9ll2>)c!nwXojq) zxi0tN+zHpbik|n@g^pOQ-*U!Y_7RJ7=u;m~-_b3D2G9yRI9>Z1%f=&;F_tmS*`R~! zkD06VMO(`Iv~(P*h}*UM!o_b~YuAtjz+zxc8!7JcPmBLqmB}<49=GJ>3$D~Vl&cZ! zN2g0|4eI2@=QqyC+}GUTQpeKP1{cJ*y^S$!!P^1L==XXNT82MJ|B|7Sf%~ z_)-rRSjg$4d7D8fq=mbd8J}±>5TzlLpO6efi?46{CU$Wg8Zh29-3VG>EHZ>HQ!-njs>zCQC^}%MGhbJ+P$Y~z^E?N8kJ774MrDaaq zBryg7op@n9P@tZi-QT)*3HJ%6xZqdRrk$oO*FL*-9^%`X@WpTB8tR~e>nWaH1Y#P! z8DB`=nlnaGIa<+jyh)8eHeh_Y$;2l>QihIpX6wr2$*-t*$nY#&CkU|KC~_X1(f&Ih za$`Cm1jeL$MSGoVH0eK104viudXXkf!mk>~Yjee8MKXSgYje${4X!xc%bR#879Jv# z(rSd6lDnvGn=GI?JaF&x$7M(lt1jmP^UMZUHP8cn3zKPe>7W+*L6wC$9FR(q*h2!0 z43k4it=^V#`Xzu%g_mxh2Jhj#aPv)O-ZDwQ+G%X9K}*_e@+-3GCq7~<&~JzzF|G98 zR>{S_riw>$g;SwFf*Kc5p_TT(eJyh2O-7P(HQ}r=j{jqHRfHeD|hAn zJTq&qEaM-0&G^EuQe8uIeAcSb8tDOj$Nu#_TgRyS+JmJlPzsX$6G}_0e-tcB!Rb=; zOM4tPk-xuyMelr!iD{2t2fEbl&3>XJ{EuGl4jvcS2!B0CDrFEb^qWG93ldvEFv*Si zRtC@lQ{%k?1<_rwUC{+DdPgEHm4(F_dEx@@QYbZhVbpXc_yvnv?u0o{$j z^53Yiz8XIFdd-sx0@;bGyc3M1T~*j#IbzSreAo&SJM;IHpSOfj$EWfZqTLZp%xcX_ zia=b^MjPh=^0l?6SLi5E56oC+$poz&F|Zt4x!V`T-#I0IEs2E~CF1lH4hrUtW$Jo! z*YPQAbLTR+8|$fk*Imdl)4Ov|+_)nxud`&6pgg(w zy(mbls9X2z;iBXgv&c`&8@^ZhKz&u^an8p1I6<7f$=0gzpck|2uHG9f0NV z4FiSsrIm-U!yK-jSdTXmVlBL$kDji6~*#%ekFIpAyRCWpxfb>$C3 zh4({p{%))APwy2=r~WJgmT(J2#3dt6tQ^K|E?&=;{oG@g86N#>5cZTgc#S)D1`wsCgkWHhle&cd?qkkw*$QfGS6ZL0qAU?jfkNnX-yi>Y0kI(jEvEXNXQU7)^`E8Bk zQAjAT0=|27dl-}Leq~{S`(NF7xJ`QB`P`qaV5N^u{wmSAew9Z}M$KHqR3Yd&6%!t7 zj{)zMPg+wRjlX+N+rHiSdLFoe|N7^nhi|Kqu@<$Dbt=o7NHGtZmz+Q$m$km9i3j5P zO_y{2n01b7p2d4 z5G#4#A$;1TSiq5PmpWi{!&Zc=Ix*MBugbmv0^luqWD74-7;`X;o#UUEvOPe=&Caa4< zZR_#5j-eafPw?@vSRPXSId*epyLpP?vVX~3$DHVD3r*&_ThVsa^mqRtO9|9$?U%ce zkbsG;VQdTu!OHGnZmd~_d$nZ3nVJ<^zFGcsmv2S8%;@N9S{#yO4pa2+w$gVBL`>nSLv$?~o_}CKBmA2wAOY z5s@<8YYHCz48fae?4rYyMb1w%G;1b}`8p37(cY>Z^2(9^PA_1QW47!~Nuoa90UwIDqshrl`YtTho?)$n~W$PmZV*OE( zBYBB*0Vl2GPhbhoU1;$7_Op;;N}KVF0G;hlu{ZoJI|wV+`ZAmMEw90XfOiw-e-y)z zl8B3W7YcT2FBo7T^3X@dH4J2x7>t-`~6P;iB*>A zmv-gr-MJy7;^bcID8OAP_Se^LuuJ>f^xUX(+bw|lI4q-EvP?!W>`E@Vqj z0Ac>%07zyb%R&J0#iGUu%^h(RuGrTETjlVccL#EVtmhwp-M%(PTyX=qePRggA?0uA z$o9)%#pI`nh`_ z1=&XmZ0kKq%*kl%$Rkfpz#0JJ48eAdTJaNomdDc`gV7_+4s9xAd(sh-V)_O^=BXcKi6TB zQpiR5+fDu4#pNwsFLSsathOt}A00wJX213~UB>L?viV;Ir*>I<75DcsMqU;2(M*lV zzNm-q+k44vL4Pq|6w^=dKiWldFWidFf7@}q}!NV zfv&u}H|uY0+NklNdW$3j(b%SV%*nhLcJV`%pgqkmXP4&8OTy|43%aA?Er|a;A>*3c zY>hn_b-x!mS^zgG+B;{@v;Nw`e~Mms`Q0O{`c@ihS!A|U!bzq?@t2%-wpmH-)i`e^ z{R*gs2VWMUj?O9}{OL~^XAbM^x4vc*wTYs)@wg@Jo6y#oj?;_g#Y1cfBFWb#B)iq7 zGA{n3yqJfTP1g^AY_th!>=34d`a*CLSazT(c~Zm5h1{O`5L&KaecyXW64Z$=xmw(tMAcJFh-o%D9s3N-Olyu19A}OLE0xk z+`n7!;}I#mWk<5SUh=vzAzw)j&sA6PBgbi@9KIB;TD8c>hJQV-AGnN_*9OsvfV_bn zx@u=d@5z{nQimaZx~UQ@D-{LFgAZ0lJ??bPc zRWb721H#g_7|ZW*@g7KQC^#%S0}5_O^Xr@22do~o$gp{T@Gb=MAq#yfR$d39RoU48 zfA`|6hT!_}LE47n9}&$#^T!8`iZFARNp$8aKUR}->pbtPoII+f9$TKGE7VbS!wv}I zT6rDG6_Pg27lj8*YGU&Fu=Bp*LF>f0XJbhwV1|}Bh{s)`!x?RS?4isQa4|^|{$F2d zGQ^IR;->#9S8+;y>N+bEQ{<(#_hY&VXJ0Fp*IUysDHKm3rmM?+9vA}PJXW7)T6NkC_4`@`pBBg^hAN*&CpKK45G)UD1 zC4OeliFG{dZ=%=OJ6~F87CjP>Cs`j31`#W5_Tuk-#HJ+GiS zdOqlBP#a!~_gaRmFTmYy8|&k!T0R=?g4qwprjeGcrw(4KY%E{EE zihj71nmyg7O~;O6Co1b)cCNmpdsq810V!b_8J;v2@zJh_q! zj9xGDoV7mv=tce4DhSeGmkHHU>CJ)L9r}Uei=y-2bDbTjkM<=VCX+($A}{Jvf~SQ1 zG2Yd}+t4*)c4kTo; znELO&v}cT&9*-whsYa#Mvw1Uxk_gV`Vfp-mDLI*T4+hN}JH9`E!hhL{Y5;EE_w$df z*l6QN()~XU<~x$;3SWH;jT^;HM^Ocp+|x_e%x1SVwh_S+Np zB`k>~ni}>_6~6I=CVN-%)qtF8peuZT)H+fE4g{xUK#5Dm>IZB4$4WAXks3BjKzjq}{m}<5f%f$8Bum zLwf{61NR6sDYrisBSsvu(V>6X5hSK+89mP3wV|({8}>&nWKaWA*l0&oUNJvPmxp(+ z91gyN{-j_Q8Xb+n6E6Mu21-(Ozqzc0WuJ*ug$Bm>AW$O>Q5+(e5%nf%0JNBoU|U`d z(nv|NdYmzjfj=*LVhC&CS$ph`5{u&R8l^_n#m~IT;{E`sB{_~K=m|MD5r>za^}e=C zE+dxi@ow`7##<@#!@J=1b$`@AD$^WEn=h6>ymk_Onj|6#!h8|LupoATl(ha%KdvWO zy@rDg`XpOE5gV{09=`*<*u0p*L$dmFhoY(1n(FV*6f?|V;N~Gs6YJ556bk|J?JwvF zRCM=pmam`>`R>~qMl+B3+(h`x9r&72RnVxptalY?I%GVc2Y=!F!2 z)3a0FRUg^*JG4U-sWI-#hY`v16+*ZQeqM2S(2#w(@ZqGCW{b>cqwKaOvq#c;@g$<8CuQb2*5$EfGvrI%&YKI-GQ4D5e1;}Ck}UJ0W8^LMz#vEk%Z&@8&d|eYPEZMgVuMBPW@#=KA0G!68_5|nKU_}Yu#TM%2U&G zi(G-}lt^Q4B|W<@uskyr5&nT0FyLqcd8{7ngASj_$)YW!yA#8m8HLl=dqj9TfDqCq zCyk|qJqg$1Nju%g7LVLQ7v1H=$To$k`{uc7-vIE_?~%xA zZT+z5zEavsSR?>Sgnk)XTeNkEv;?(6By@gpws2I47z{nT!wj8APQH>7^P63&vV5Dy zC)#W|OkOV0@snIi8s=dc92q4*CV^gFIhOXQ5$f04CD{nkHcQ$3UU&YB{MQUWX#K71 z%c>3NjHR)_QKfPo!Ofo;v8m6$441uo!1%g6^yK$`utE$`nGl-p92*_HiRv33qIKV~ zx~W{qf@G_z;ix*l!}Ew#_BZ0_5OhcxFcA-2Ptr`Q2|4{fd3B#e65lLmZSZJhBn?#| z{Ybz2nj!b%?RbQ#;{XBjM+C^&P|iHOg0s7Q8Yg$HO0G0p_c*K*eu`7^=q*A~yc^T3g->Pu2R!!D1)Da(i+=c1s zJ;WXV@~X9X>iOmW_?EV%5X znRsSGpXWQRjKkwuYCOTdSm*vm=)>#G2KR^hzkFRZiPNeh{^Lf#2Z>BUuYj=o=P7zb zj=Df|_tKHV9zgiUzWgBGmiXKM!`GQCt*WkF_JU|oN!7#x5S3a`dLW=8btQ21IsMlD z|A>sp$T+Q2#6D}G@)pmWV<3tnpUJE?PZL-i%y(m-fUiBk>$IVYlg(dSqaDqs&TXgR z2s{#?6HiIZYz_C11W3{~`^%PM54ZbcIE5 z_|t;q{Vj`vk}ydRzu##Zt6sat)@qtuh9&w9V?`I$w|-?Z2`=wT3p})DbC6EE{^fSw zG5EP}2J33QZ($IW(H7{Cbrlg553Tumfo4oQmQxvc(Os54-03ZET1-uszpoQKQ^0ld z4Y~?xqr6t)D)05OZ-y)IY{nN@nqBzzww!u+W>vC7HZ z(iod{=(>Grq-dLH*&|RwNezx83Rbc>;v{|8q$SCyIQMsTpYmZi*6Hmk*BT0aTPD6TFB2leF&b)>j|x zu;7&*09=kf0bioB6}6xG?Bs3pdrmpLFGpE^&}T&|B`@_>La42BespW7#!WzDzXR^X z2r?g-+LIW$H&%-^U}pZ!`*2%YO4OjpQ)NvGZ~dGP6bvXuGjD*dscHI^A&ZzBsVy!% z^}fdEStJn)?1O!pUcIYwy1zv%Tg_Jg@GvzSR6A0ynguKp?Tc6))9mFi(L__vvH6dwe9fX;lm7OxMWE0DjA}cK$RthM zyjYAz&y@RbZZ}Njy)xOS_5nYB<^dm-;5yZWbRMvj&oDaMx2q%t2Zr9?U%wHm=CKmO zMa$3g9qi$YjrZ^SjF252ijk!`kF1FF{;*JmWiyMEvC1|AWC2vqEt5Wi+Pa;f_c~!5 zu718g3BJ`trLm3sbxOX(X@3345B&~1nr?-r3tzie(neD1# zeD{ivznW0gR8S}>yCqCl%rqJi>aEt@?3G8et(#x}sHgBLHKbT=ZXRNV=C5O7Z<-kB zeZ=L_*?r+Fii|PESv6(ABYKW)f&*OJf6>t4EHemxwMdQ>d3}7h*v?>ju}z=g;c|yPxcA~L5Eb}l`Q@RTryPiyWU1z4k@+*GaX0wVj}st!A_&HaYGFf z?#wi_P^6C+4|0LA8#xx`8;vzrNDK4mid_;QNG%Uggkt$%r91 zQVMtZt=&JLyRD$=Cd6apRJ5=;$UU6TJN`G28`}@<-KbrMJ@E!RlrM%(pZz(zKl|s& z4JaTN{lk~6Aj5mVqzXj5NRXo+E0bT)z1N(ZTA@Z?C~kQim-ossFK<(?QG zI$}#Tk4QUUyKJJ*O37a|cJ4CjdlOZw%gJGbuWlS?Nq8k9asv#?0P0y;BZ%2`AR*s3 zTOzZKJdE`4j#@7us5mAa0%G2V^5Zic>mRq~MVeH2F3!AV80y&X z_U8-Uo4?OwZ+-Um&=0P({4ru{`Gp&M3$xs2U*-7!_sY=J0$!##4V*H|;dF>wub8t6 z)J)oR;f8?Ze<8GD_RFzF*X(eDT$BHuu>*@(9+OIA3~y4wZ27;ePB)JQxnq!llya}Y zxiuxUKtOmw~YfzMv8RlZ&)@#CY8 zQ<5$s!FU41%{9{fweS7dC#2`~NkdnBcndmvwvV`tx#j)qZtP|p=JpHVPB=&s znEiLB2B2t=FF$AY+CNxJD~r%6Th?sfKSv?D?)W{%xcJA(@O3Ie#rURBG)z9XGQ4wO z8v&OkXKnixH-o()1W&(v=mb5J^1|+WTqC9N(}^Kkt&`(#ZjKQL-l0G+XJ=B6hzTD*g9%U%lW@cg^Hm)qNhS`Wewh0&$=w;G~wtoh0cBG0wcG1VV*}scf zVyBw-8-iYn1(MC@IX)NK+78Glstr6q=X>G<_4wB*e$ff?-@lIQ)b5qYSKfQCxMTV< zv$mw6Vf2c(SbJ)<+P2zlZY^(&jA{m?a$u*Mc`$jZk*r#{xES+-Nzt- zlL2%MnAdYKRY4F7m2!#cmJsI8^|S2RnUsYZPwl{!J4uR0278X}S4tg0C`F;|J`mk` zu3CgFnD+-d57)2(u5TV+s&IVT>+g=D`FR9xE|FX=DlsW3wK#io7Ju&;^Y@NX+?w`U z-QWx9m!bA$m>L$gGB9v^gOh`IPxgI-m#hH2-S-P^;?5VYm_0!!+$d(F0QT7l`9M@; z!%II(C59xa2VX(@jKy6O#*s_+N^9XJ@q9j2YY*)vPk*OZ0Y)+DDB(6BJgPXh=M4-? zTBOAz!Q>&dt#8^h!UXv%MZ@C=r@}51i{$g6k(dydO6+6(wr|qVa=*_pb%uNcxBIJl zk9QAU>rFKm{Fq_8uT(3ZtlQqH!gpYCPME-1nGe`Gn39AAG2EAmX}W;7=5P_Tb;4_x zhr}?pRa?8(N&jOvBka-iDZ)EHkG0EDopM?*VP%;FEGlA{-O29l)yKHIy9sybATa4u zyTE3f?06S1TBS6pCk{^^EQ1%D1rtW2^(5h^Hg2$*v=^{O};+jP*h$=YbXg7?aZ1t@afLwxdWN z1$i%fnD6CqW~KLN@b#mb$7I6Pd$T^_ZC#(OSI7-;QkEySTqsscLgzB0iHpLrVM#YY zk!*dpn~_dptSj3Ufr%x7-SCbLzIfxpv*LfO3=l~szD);YUi$yZ%V@4~Sx!R*DBxRT zHz)Qhp3ufC-@h3oq>2%EvGU&2H;lpK&byOBH2uQEWV3e)Bd4Qe`tR;^maeQk7^nO3 zRo$iEUPk-vW#sUz@Cvx_OQl$7kZ$O7XcAh2XbU{@y$Z0BHNQIo-ckO4nW(r`qJ(4C zZ(k@O;a=`y9xvI3n0ouiXDywoNe`HFNv;ANsC*yRaajF2n)e{99U#bNIn#;{`{K$VD z#g#jwV4FwJTU`W(H(GaJCukglppWS@gLEGaSk?CND|Jm*J)SrB_UrTsNwV91BIW^J z;;zfx(tSE8tzVsB#+||kT*|=DjnmW{rKHVN(v02XY7J>uzoX6grWfsk7RmcI0&|Es z0LtQ(sahYL6q4*={(UclHKRAW5HH_Y@=Md_v-_zXm+r#Xh++FH`{?C`afFe0FjxO~ zhcbtV@LwfQq3l3=8pq9-nCBYOniKOn%oHlbSkFo-Or_uFG1c*ul83Gdc>bF7Lo1#GM)&qq7nVm5|c?MIfZV`=jh~?w-bb?rQHr0I2`Q zsqE$e61Jzz-#uEeKOuc+2)l^$BmJto1J`fpFpMSEtKT0LJs9LQ-m-`3QSQA^5I-$) z%h^Z#(kHb!I>=Ez09Fj+={3(jdLIK9pgH^%#@a$vjf)pGA2<6~em;A|&1`1( z`|*G>!-Z^M49KpccC0?*W1~qDPj6!TV)aK75tEy3{Eh&69y?Z47poqIz8~De=ZrOV zxwUvPIi&t`29*6tn@!&%4V47bg0)yVGBpq&u`&8(J&wsOS+AWna+by}Z4}P0IY*QD zKbOybTV`y<;i3I?_}Pt(!_1lENq^UnK{!zhP!?~oS&v|(>jDQLEl_ zw<5EBb+C;=XMi{(fp1$R0@2L}azvlEG0HGs6t$`mY8JZ8HW}2<=lu*A$Eck1kya6M zrBeZSc$gLK=!MywAf*4tzoRqe;Y?B3fv%gG24yN(2Y>Z{gwRd29wEfT<*AkuI$rjtMtboB!J`rDVO?#bIl?I}rkw5CU{dB^V?nDR1S4?2+4IV^aG}0tzf9MnJl}UdLn|Sde+;WAZ2@DS+TdjI-fP`dX?Y8^QN#z`R{X7&(!M@ z9u@V379GP5h-+><`|-=`)tR^Px0mLVYi@nxa|PG>wM;Kd2V2$N^>dFtUTtl^r4!QC z6#X^C%<#vq;!TCPa`f(l>Cb_WFMV?Fs^TiiOz7Ffn}6`3xT)Wz9U&~;*2RKk9u_b? z-`$zS>^zpjyV=Qtw8 zq6imo$BzPP7R>ZAyHLCf8QhkYasPEpo%mAi7*;AU+*PZSIR%>=*LGKIIb8>qi3`B_ z2)=z3|F@>uI7mUd)L0=LG+|S|pV285kNddgn;N{GBnK>fC9nS@@ZTc45ZQ1Gyc0=7bq%2Shvu z6Febo2jTnq@k8tA1|1kFT+x3r^lab0<;(qn-45w2C;ItH$mFpiX98I2vdOlXZz<44 z|DFFJC>^WGk-r}*J9 zOMC0P>yiLS=^d?1+w3!K#+iV|-!hs(r$*X1VmH#G&(wqw-{@;szdjwhhFj{o#?5eh zI4EHU_h|o;y2EC(SG6m2(`x+NzwZvh;)(iKz$5|LX&Uck%SN{aU*3GEE_@?UdNP`zK-1IPkm?n3H;oCWnfu@sx z&v6}iF<-}~HgWAvGWLaT% zD4~j>C{Lz_sBhBrtW$U5A@b(p0DT#tg=;wF_Jpir`rKrq_I*S;)|5Qj>Z{EOFZOVJ ze|PWKCOZZ6o)@WI%2g2&$4PT+F$%=Jse6po?x=}7XTwk%tg~IT18&AL(%*0C&l{N~ z7dCFIZGt?|ukeNSMBbdgr8~X_+6SNc)LY>$?}Eu?2SyvVc6C!ffamo0Yt9hin9kQ5 z>3v>r$EDtYc;D&2JVqK{ut)W#g8y^!3Ozbd!1PHh2m#P{qb^vQ3>v6y^ZP*_g1$5! z5RR4T>I?~G{alWU*O*;SRLS>ttii;AEzpjzZN&*3d0iHH)zgPRKd}`Tth>@_4DM>| z6|b*0>{Ard#6T79)Fu%)mQy7)ER(J2 z3qyGbpn7Zr#iwqw)+yYhz*_r0Jh7{qJ#tfkGObY$rQNS|9FmVc_>=o27dJ=Eoo;|P z3UcfITxQCLHE6s9=XMs`+|8;&{bU)5SYnFTf3>LS?F`=&R3w0FLrVJ`VoKXWdlVq( z74DI39&FqT#_HymYeyqs!{_$$+LFiP7WYv!RE7wgF5>_o#~lGyt&4aaCL;8=PBAJT z{l2@IBPTqE&+71_nNAUcb3sMEzV=DX;@Cb}`5?aur>Hd(F>t*` z7O%SauXFh(?)+WK04>75a1UNlU$y!&+DYm408C-~x|rD2NC$5wA7D(qB16At766uE zo$bEsjeOyE4RD_SyUU4R`Q1B+@rZRqt@Y;xd=}_RD=4YN5qyD@_axd;$e$+sy~g%( zu4cLe(;Khzp#c8QO8-_WbuELbL@>;(*R!S-dYw@gx8<`eNA9lT1e?03LjBNu5R0h|wSjG)hZ z4cRN}W?0=U5PJ_w2nOv&9lruQFDw9by@hiG&-nEy3xc)ywA^?6cbo^+{=ENV-uQCgMw|N5Ori%3G?fZpmZouN$z$- zofY?U2jzEz%ArlsPu#lB#f);dbY{Uys$TZSUAQv>IFJDS z;(X%pO*1&8L^5fUi$ZCs(EcA>z~A=QMb8eCZw8@Ol!sKJ-131Q&2M*#TqNf|YK9@ehUKJvY~mMxuL!Lb$!PBwEKIXUeKH1c-)xJ5NFTmedbA3&qT-63ME`^ zK1GNde*zK+f#&{B$RF1Tbo`@>x{>V0mqEpRVIA!+P#U7oDi`FEu~L($-@ry)bQM>-(;NCs7-L$RI{;KZHx;!8epco}x6 zyghktgUSnlj~4qOMuaqipUXktOyr?wOYty3e%G9cr;&YZygJap#}}$|N&d$hH=T`& z8W+)+wq^^T?U`Vh@=<&~xpa+8bj(Tg-e^7i@i*Vge?4hCx^x@&?OK1n)?Y{Dsxf1D zpx}4?j1G`>zj<)~Qo9)V_!vbHaNl&l$zP3Q*ZDchkDyZ<@CyQ3*qmDjz=t~4!TP?ZW2$_h z3^Sr-V(HT){TQhB{ZKqDfgf>yLCdIIwCaz2<-8Rb#I zebD4%Ha@+eCVOAyHa$y-kPy zD`_6LVWqP%%>EUrS&u(nw(Y85wb@MmnU4Gws7r7f+!wZW&q2(-XrmOzp$MQc^9YAc zMZ)nXuzTObESVnHTA<(*Wb(^FlM!gEt0U##r|Oa`c`+r zR^A?uWmZYHn;G!*R=5?fR=p~u8=5WqnR=9QX-cqhdu6tg#R!~xs!q3iq*GRPJ1)Z` z+cjf9jGl6z$3_5Qr|{|6=W(?Y?+q~?CI)*ofA2cbM)omarp=M-EbPO=1+nqt*WUfe z;ClnJ*2;dfug8vhQpxE98IB(Zo}XqWSdOA0K^q`D2`_r641LzzTcPX*q`-LEt;h~!Fw193_R=2y?h`f z`(lKFnKs{y!Af5sXhglyT|1Op)!L6ftACjaeI=*qBmo3fo@;Mz@P%0g`>?~|^xair zRlW1$K0DKzs-#JwX9>ezr)Znqhhf5?GKQAYzauSR zZ|SubS-V^JHyWJ#x!szbTI5MDy1M$vK_QXeg10?39Io2HYDE7T#d#6&XsohDsRF!osN0c zdYN_c&O})$_h29b@;Upb76|tTrf-IL_3VMrLRG?^6}g>2;Ljks7TGE z+;W%jP6$mI=}`AqLyK&=0-5jaB|9nDe3TvJBIFvuHd+Ernk^OPRW*6KGaTEyi;tdv zJRTJh2NBKQ?P`LECZmEF?;D>>Mez{+xvezU^06=OI)X>9G3J@*VewHWf`b@6gm-d} zwO8J5g$pMe;H-w-ZGS|@(P@*N@ce#GYjb_>Tz``#jg1lGl^aWaX;)*_&gq;fhWol- z{W6DrH5jx} zR@v?76@%4KZ0>m|AL@gW59`-y&`h3!CmIguie3`U#Y2)&4am}df9}keUFjB5s$v7R zddPrZe?a%R(cd&5@>U)OV{Az;j5?924mav%bGam!PR~ytD2jA^&V;w-Ytw2WiOc#G zU&p+7amjSp2vCwA37jAhs)-WnJE4}6L`bPs;adsQ8@nD_&Gyb1m0l3mO?kv|VS=b- zOE-@ZE2{G6AW44X)2a#a4kMj&I>*)a`0wasxzpLBjmy)z1j8Zp{tde3Y&pi)a z+N0zju_G|(yN!QVwlnjQ^>rs~KJ0qo`SaLbn`>DW`&ipyx5vf_u8v|?C_4Q!^%N-?|aHc|dkPi#zzbg>ZdBS9J{e>D7#WdH#_NlajAS;tDq zWZyt;cDKaSS?hIf7J&>KFdgs{x& z&v4O@U^*ab#-CiVx{@UK5f6MFoo;-UNDcWQnSkS&4#W8Sv1@v)as9qU0fm6) z^<}=ZO$VK1Q~+v5(}+#U(iAz7$;ML3mbHIgM^y^E%4Q!`^u|uIDus$M$|+GLS&{Ky z?Dp;i-)Ddh$T*H!wWQw1M?4f!(N1gBMfapLiaiDgU(wfaFW=tAzI{uxw!{Gyt+B_X^$$5_pU5#D+SC1pu z&Ktq+u0IvCFOD+Y1KEKg?;XsYTtZP&_axGZ$j^eCPjA?kN%~%tJEO_0eXDbC#+PPz zSP|OWT93G2W})pdCV-{f_n}qtWx6(DS+CjkR(kDT1d50!&REcXHGS-P=gf&HKbPRA zkMDfAJOHm7pWjeU)(`02zbj3(@+R+`{Xg&^3$*I4mrR^g*SnZ z^O<(Lg&lWihsa9wBSjfWbvo(IH{V6af%}$maHFUJqm#pY_ABlMc#-=!mPV0i8{ePW z^N!9B=~N@Jar4h3Idr*RNc<}ByRjsLQR=+f-c@~Zx~b1EE`NSM=0e)(PsKbR5}XP> zWQ;A=9UN1K;G{uZY9}bYQVsWeB%Jbmp~5O!T!79b`S4LH4)#q2RFZ6yIUTq=PtAKk zvt2jz&X2kZ6B4FjedbJUEchbxbvY&BY-nh)W z$`KqL5>f5MAc)2QGBMSP^70Fl@r7ar?~}^U0{Lp~Oc!C*e|`~|RUM@M`O-Q(?uKD4 zxrlE{z}{=1(O928bt}?5*`EDi4y+s)i76IyzLc%;K|BBZnERohOta{SOr$@6TIvntuN*G*nQEoMTtsu1;X!pvJ_`7$9 zD+Z*D!c!wAF??hAInMsup+(e?+GO{j3qHEfM^?oNMwm55Valp}`>pZRCH{&f=KhZc zTKV-+7WdVEEM~k{AVhr&_U67^*kyPQ-kVexL!D~r%3D+prm?b`IWHddVV%82tBRDaEx(a1SyOk1wVCl(qzhIKk-E+VgB}tV~gRSdv&5l=DZ3RfrOJ^E`*qotUKR4$FuzY{}23 z@iRo{PG`CqOcO0C@QnyB=NYobz6r(m9amedby%X?MmXPvRvbn(V(J5y=gZd$RwLds zZbnBaa|=eCZG6OId2PCz&%g@?aTH zB#hgdW6sc2@MV@A=7t*skip|!QPB4ditzSIlEdTk-~{fw{VJVUu^-e?yA**FkmPq8 z65JUA|2l*?&UoQXkIioy?=PX@IY(%fJz{85R5%auc9qz70xdg$WnmnH6^X(eu@+fp5}H@KMq;+Go5g!GnGyh6^Y+&`>T8ScJqJos@;ujv+-Kzm7$t>L zppZ3QVZ4|X2fy)+J?E#yR7#lr_BL~Jd^(X@>52GbiZzsLy?s7K-V=HKi0jPnEpg4) z3SqelK;j1*JX9}Eh5BWz3u$mw_7t6vS?&e?w|Z;|oA7XZiBd6H_rnV$t1h``%;-5$ zLt4-M{3Qq-daHsRsqq`sWz|ia0fEU1YQ;}*X6p~27X7GOeaJ2-wKN0J*5oZyw;ONF z3&i5gbDnjQRnQx^EeCqZ&6R;yDu!(E6XU$Xx9qyEwZn0b5GfmR0Yp|{t}WBHb;X+{ zTmt({D9bpaTl+iSPoSy2oyYQ!m%E6##P%EPzHF8~7|n2dcrIJCw~dE%aw=)sQe}VT z7<{J=#wNfGKY5G!ok4%?J2t|`KE_$g=Sn{Y3n8Uioi$z`Rch7cbsZPnNTk<|&_FYt ze$ZLY-3s+7i(|xgHq#?P@1S&&9e<1qQ^14n`p!t~a-Ar<=T`0D9rg3|Y0EMcl!vc@ zfQqvop;@QHXeJ0B2p`)}Xs2dscl+vxlbTTycgA9kt?nDUrx6LkD@$PFF#`V0sQkLN zg)wZKnT=1#s|?VmDQfxjnV0Gb-ecJSD(ORw2LX}-kYZ)e3wQM%o9|2J%e{Wa_rBDb z25nM0I;MVt#P_E+z}KHyhN0mf*NOOw$+>=^`&=r9hng@#Wr11kZR6G zr}pVm9nQ75u?b3=ZzoWFL48>+`K@q>>)fq=&yi;K0OFniHCD&>*epC%ouyQnZnQc2 zpZ0?w&@u0lV-lzDg_?2a(V3To7moKO?&i~1mSG(Ff@s#gb-GyV8P6_0+X7A$-88?X z(@PIAdTYkFhAi`qHybW`yoLLezl@Gw4#V?>c;ur(vI7t|_lm{2G)-&o)*2jE``*~3h%O$9gHtqws#tnpa4(!(V&+|Z%|z4t}Rc`V%dF+ zW5nRs;H}K~@A>c|>Somz9^&d$z?K)c=t%YMcU?E{@i_(uD;4}=V&AJUzM?r?+P)fO|Yin z8uLi4So<8GPs4->VNt|BoxSd;NX+}u^!JVyH;EdbZ;}>OHH#w16eot#FBeyv>ep3* ztTPX}$fwK7Ikl*sYEJBhq`Y&TgDivfQHi+s+2$Fyjubw^zcVRPG8plaFYPk*yZEw3 z6?dl+h;tm&q(qyx!@`OhAjdD3bV7}s1~9`ob%eLD!aXpP1DvA+B4QQ+^FM4CZF2v zejDU_zCdQ@goG-f^`ADgX_Id(xMhu);@Q`L!!{!hc~4sg3@CPeK#l}w6E%z3yQN@_ zL5k~j@JIJ-F{WxzpFXyz(n#p?0tO@0;;tNjbcw^SKHmyt+6+pHzS@ic=XKKn-Pj9A z@l?`KzJyaNu4Y+*D!<~?Nj^g@9fF1qaI}>eZ-aB^I@AdVu;zm;KkZf8aYJ>!-qviE zq{hiIHt|G~AaONFZic5Qi`SjD8&GS+P6=J(S7T1 zt?tKn>EjA1&+-TMQ^wd!?0^@}!)VRWGTtwBN3ARg&az+-TtroBf#B9sTzz8YQsP)b zZId*3ZwsU4#odd;>*lyE?TUR?OkiSUmpwq2PK_6|VGs%8{h)1u5aB$$h@SY!3 z(}1h0&-Ub=y92Fd(s!oY4h5rB?>E?O0anAlawT*+;u|)!e}B8D(FTeV-hlyvB~yT# zSPtwu@ZY#%F@w&S+vv?k&Y}9$?<=og@iKS=Mv3n9#kyg7gf}^oA%R~o-3@!~w8}n- zp1z`RL|k2%ZCqFs{CW{DaH%Ql?zywimzOo^hf{w&f*>ax)KbD9Ct_ol%R?+7XD-?1 z6*LLqX8)?jZniop*KO_f`wNN1h_q@QJEF`UqQB4RFpttP{@@?atIJ5T`~&;661uiM zuiCfqt=~@0p`q^|ZhAjovxln~Y<(yc2L_Pi?_Yu(zgWHpxmTYpJ_l8ZhrYW}WrN~W zTOLdLB0p7Un~f&}xp}`cdG79JXWNi#z@9#yo%mKq0FSdkKUd;;52C=%(l} zj`2F|Z{HRsO~CNcc7m`LQprpN$TW>mUVn6ly*$S&Wv)ePf=)~b2`j7@ zTTx>Z04`q(M2YbA?eOnCvcr2M<`D|t?jpm{jniR6nVj4O-8VV;NCg11R{C!aSCSMo z4j53Sbv>_CfX?qOTa?Tr z(PVBOG%)gYhy2Re4TiuAQTM1|RNccHy0dF4i#;Iut}mJDcs|a&7x7XTzNXCo*)w_d z(wSyHb&p^lH=cHTRNy}$`Mew$;$yd8yUeey=f2EDt)KMo&MR-ocrTq{B?xYZJ1*6l4WHqXKGk$N7T%_~D%}HcQIY(#IEM?!Q$vp9 zGH=?{iLS*L=J%T>dTP}$8&#m)HAG1SX1zK~LEF9>&7zFhd)xIHzMk)ZxN!}MGvMkV1$2nGJYoF%b1!&+aJ^_a4*9>V9(>W+B^@2D;oTHIwg8=86OMezWez! z18Y3A(`wL_4wt87Gw-}9e)n_4xRK*zB$SPHmoMA1a60UU?csD*&tbS7_4V;B-zfJw zgNmU>a}!Iae28e3n(jq4+3mf&>fJ57#Q>r5>AtAmqk|v$`|jTLh#s|@-7JZ*+Ev?S z66!ao0^QR|x`t|$#0+Q3w(M@RLMKnY+o{_Uu>NXWox(E338F|jZztP{IwRDr73|Gh z3sb?}(1-4B=VNdtvfmxtU_yw2y^858>?i3|sAkDaf|66}-DQ2-@`}9u)-U?QK$+5+ z@%b34>Vtk@1MrT-YnNWz!a?-wSEFPwp`lZtJ~Q+{8bV4d%Uzd!TX?|W(K-==@)K6gl7?)+z{ z0R*+nL4FBB?$w+diPePLlBa+bUUNZ1ksR$nVW{PXaKrMC%il8x=h^G7m~;RoF$D-%)EHGV_YRL%PQh0|ita9dLQ}B~xm7fw`z>Uuw~9 z!FJfi7!gO+Z&xmh`Yd;q^ZIZ{$Gi9?-&~1XY4)G0$R4fRjt3-e(B{^6MStE2V;7h{WyeXy3>)9QfBiV>A*{r=2wwq{~1=%4F+-my=*eBI@z z;=SnGl`JCR<>SveuEw%n;PB(5KRC zsRy%6&h*AL2Gog-F!%d3_ZdJ0-l-bTBQVBOC81%IBnvEDh zK41TMo552gh?9(ezt&gxv(--)%t1!Is>{MC_j;o?!gF1&^=WC_PKjtOzUa+qiZObS>JxAJG;XMBt6ef8k$vX zO`p(0H#aup@V07m#&yfrXxSxx?wmB?(Y^=Q6T&=;WSTz?ZFWOwzvEehgcvhH4EzRE z`!rq;h5mkQIBuQ|eB%Cth%cb2z(J*B;L&h~dS`;*+uWYTsUK!Jhx3PHty7K}DgAKs z{oR1d>icNY7|u>_ER{|3xy>8Oi#*h8x8~=t9ghLpCZCcWG6{FyYRb{D$wa)iC*aC! z1V!{|soM3idvxy89_Jl|@H$oUw&di81BEj*^J%JS5gx$36|GA%5BF(5KesBaGkm@r zQ9p>xOwm+TR-fXHZ2*}Z_hB&i)^GN>^faB8WReuvW8`M?(JBXX{TG-E zQ%rAU7fXqEeX{sXk0Y}2`Facb_n3&A*PWr=pA{5%+H zET=^h_TB4oz;EwsT_pb!UDW6@-^J)aCKIq?gC7(~c*4HH+JXe$1P5+tOSQq7C$9U? zzU$-ee7|;IS2;Z}4Dq61Zyi>v0+gR>dENF!@GXD8*#oeb#kdTIlv6k=1TR~uao85M zqP(y9W0KEr1l5qg8iZTsrQ^o!F<G>Ey$7<9L+^^& zW?t=bVx)~jfV^?}!US|CBbQH!Gscy!ZFb-3a4E_V~;*OaA_OT%h|6^rs9v<;k9p}PG9Z{ng# zFz(0+rXP`Sn&jhgRaGp$*CY*|d+Hon!4)`L!<*iH2e62fW+`uj7`K1N_wc=$)PkwX zXMS}^_##bv)S-BqiIP4h{#wcE^jMk+v5aFdF>EkrCNB_pCG8Lg;QelT&T-P2GyDeW z9JKnk&4&TK(=<-+*P3!e}0N>l-*Yb0?Lrr{KMHcr-`|V982j-e= z>m#-K7?I%f56c`e2HQ8mquPEG(}0t>plYa7aqzM(9We>$M4s%sisP~Ic4kI+lMQ^Y z9&aJ==&(MA69OZs?J>Q~uUGux6}0Bn`aMmEO8v{~8?%gz0=r*`BLge;B*lEr`2BIyQ~3 zXqHcXyN+xVmafJXGK~tX?(|_s(9pEIZLDxy)I3$mY=H(W3Ct>RPV!jsW;y8TiR46u zg)@7H%y$s}`8DIqh-|Fw2_9-n<*$DC;xQFHElv9klVxrx4P-%WN8uKtM&CP8OdKZ8 zobceJznSjpK0Q`D+!=i+*}K6TemDsz&7I|(C-ixRKNxIAavzl!G&^yIZx%HOZku5} zmfzF1HoK09=;Z*RTz{{s1Z2R7&3zhCl^J#U)CoHM-q;LVp^c4y&YS`st@jBghXJ6O|JdYj5LYNn9O!_#vG@$YY#w4+@xrfTRAU0$b zf6R8XKDBbxudJBS022Q_SD4U$&-IN^V}gCr8@BPqmm5^i10a?i=qbYNZMPemuktmrkDJu(uAN=C)Z$giBGj z$3<3E!HObrT!U|o{6!H1vG$c9*}!fh1}C23>ZKQ4Ht>|N_dMg56}m}Dl;m%F^h(J^ z8ewQ^;}Dl3wto_LAmoS63$HLoq;3H2{Nl8W^Lv*lOivanm)>~@)^AJx`LOdtc3vmm z=6!4lIbJdpEy=PZVW#(dtXc*)6mgfowjbtU8d_IB6}hKuW7HQSN_hq8jyf_ z^5HcuH^Ivk5Evm<>@H3?pQm-fGmetehHN^TG}D&P-Sho=^IqdsCSw7CfzfFCsnF7Kc{L9TC*SRZ z_hlKazLLY|MHO#z8eblIM!BiEmsBD>-2IpYonwKZp-#r=9oI2qzT2l9gO>OcUHRhV-W7-Umj@B(j|@b@*DS&-+IDc54E^g2A2%KxbbO@ zGlMVUtke6I)T?l^#QRsTv}GD9-x>eg)4Z+r!3-?ODM0~q37?$xNAec=Gfz{62H>C= z?b59yPX-X#&u#NP4Tre!{XC5bTzR&~#sAFwMqPb?iw5@Cvag9!xxhL^_Uk%4l2H_D zt-uv6wnUI|7L{{%-j2h-v;orBL;mb|JmD_bH|vH7S4+L@bV=-P3Udz=ufbR5_IsA* zr*=or{GLP^jVPb=FfDDAk(QzlcF}afI|6%Vv{|i4TFx(Ee z0tTZ@6`xbkF-x7b*c!N1)%ba#fDjX z=Tj~6yW1X%VJ7abyQO@PxgCWG+qWpfPikr`U;hsCBNIK2W_=GtNhGT_xojAj}^d3S>=Oe>Wf>@AbH|= zVe>K-r8RxewY{ zQGytiXr53VWxL~!QhSjMLRu|W1_&OeEY|buB5MQ0V|zOw%<`Isuj_nKQedjNT0``Z zpGrZsH*3=ST@rb(?atp>iy@}X%!zn)4+hL5*!6&hG!L8ea}71WhCuGnwO;xS_~6&8 zE?1Eu47Vr+p2;eLz4j46Zb3uA7sy) z+KRoYZt}c@3z;s>`QCk2W+WXaOT=z2aeHnvX!AmMwyutJemV!n9(<^vi%u)?z!C-P z9YS*dJTMj0?fh-uZy}$w(AKkXF1rR)$rSkQJSOR7@#;mJIeTZYUpt>8Pn$XmQ&fRX z5z?$mUYn8;jT4Rzn(O|4r^-jyG|Z}Br^{C3U=QTg_Oe|sZ*}-UCu2cfdCJ~Pa1CEX z{s4_gBjg9PK&g!Vy?N9yj|RA11P~Hgem}E(@(d#ISv^&}?YC>G&J#vn%T*((6%xl>qSpn0e7Xh!P5riJH4)%u4J;-~?$RW1D)LQx^?l z4Q&>H3RUKWQV6*VTF)GX+SsUi$z|EF;P%_;n{CH1#o&W(OBeb?TG9vW1`Z;m5ew91 zd!tZm&S5A>pXkZiL~^xjJcEzovp8%9c0vLJ$?*ZxlS}_9=z!23cG45jwa zsvaB$9?8K2Y$2=!_BVCbXeLVaUk)quVhHyNg!_%8Y%FftH4hf@ffhQJ{pdN53 zb0y#TxHME?+3s=ECkCRH<#W4PuTRLU%I?yjl$8h6-Jo9VtDO@UG(caj{9uTjm~E-l zT4_|cQz2EMpvVg@d951!;c^ZXcez6=m@++dFW;yrz$YFQ7&N&JUGCD80HR_2x}M&n zLZi5~4Xy^jjF!)t5uGIhZ^qAtNSyDi+@~#ay*S6T>^$)<)OY7bT>uk`5`>a!IEuRgSb{!_rB}U za8Oi_3ulIkynRF&EA1EU<%X0wpi*q2TDoJODitk#{F;T5_dZqb#rT6wRH0{ZLyzNs|O;;Yk*%8&8tDh`bDw(CkoogXN_QC>lSbA{at z`@IL^g6^crmg2Rbo>1HsjV{T_MhbQYuvwRVYc(&UaNOD6_w++Kd5Lht>$f?)038rG z#WPS6)W1XUbl%Y>Xm)hXGR9^cPzaRhtC#~AaDIUZ_}C|bb_q@2UNg{-Tn%1>guBmK z(@h&4&RqfbXg6qL;8Na-g_;Nij>3Vz$dGwbHW&8_u_wX1-Kqpe<=V7UqZ^?E5Q+lk zno2t0ow9r4XN_=a;ClJcLBFlNB1F7^C4yL>VD^1bdZ25p4uNTpew_jCzZ;8iE1e0i zE2PeJFQ7;%D8!Wntjg;`=H+QAMeUJ5N_@4p6P|5{grXii*k!ba7_L+7x|{f5SK;I!LfT_mnB7}+1|A*w?Q5( zQMZ;)pu5-^S6N<70Z$-bhF4aA@S#df>64zYA16p`ZRQIOjS6syQx?P&r_0W)78##T zUHK++@3p^K+0)ZckJP^79huuMC{46n{n#%y{X6OP@kdBget&MR*&2TH!`U@iK zSm>)`J)Rw*%oHOXCZuzyThKo1lrQ6nf`J`KeczMFMpn{M`NS?}U z9K;>Na@Q@ztSXkr-AvwYD*h0*iz!0xNB88yB{HkD0sm%+#LG8 zktyKFrrU0FZ`d_(DFC^P&19Jrgz3bKPM*mxY)aG*0i~qR#}F5AaUlXkW&QqR^V!SPPxB zVBXlOZV@$)?CQ@7ZCH=J0(^VSu*hp;JOB>N0x^g@QyE2j9WSjDY;PJ9-Y_p=Vj|u_ z@)um;^rY>_I6Ar?(ZI$F?ZzkSsl42vUi|5MFZUj?v-K*$Q-ldzf`=uSv-6 zq(c|aPxvS3f8Ic#f$6F@_dSp_%6HGcaX9$(r`g9bm+_3rbbF@ej>G+}W{8t`w+#S|C3chUAVl{cj_ zAF+-rDcY>9^=S`R_B5;dO?A6xA#fkl(iru>KL5<8@_3$o{@KXW_dR@mLEcfoL45b? zGz?|<6W{+C`_jJmv)TgphI{z*gIj#>qffufvNK{Kzx#DQ4`)w%ezHY%VUXYEiKYDo z^`~f}YP(n!X@D?F=p$VnvW1S9cMgEvfJe4w%^JkRfifYF6ZYCaRvIoP&qC*{E_KlS z(;d%YbI-*Inp0)5ctU+CC~_bDT9XGduOs&U^UpK{qx%?3eg66LKg<6g#`DMbFq<}q z<}^E)HR&#dv~@{4 zP#;jZ_6hQGxv=ok&Ot$d-J^Th$92iB*IBpArA^YYbJ{0Cqb+#Vi{HZ~+2;3MQcOf1 zjtAh=gI?0JSmI=tq~xnO0L^*h{I(+}5CSAc(Ju3HKS#-k zXy<2`mLuWq)7KIFu-ZLDF)pW^JzqxoLp>e?-$iS~bS6e?N^GO^t)YlE&1`ZWJ}*@q z&yUnAYCA|7JPwBe8n+NDolqzQbQeZl#vP3IdVjew+YrxmmvhQL>JNPhWavIEPe*{x zL4u%8r)I|rjnSc;QDx@vdcl!(lzTcT(OuPB##onobna}EYW{KjJZNh<6>`PhwKE%* z3~aWOK&nAADO89}jC%DVx=3+==Z}iSVt_LCyZ|z;8K|tp<3I*a8sjS@14_gY35w?T zPz=}(oFqEqsZ|DYUyK7aK~5F9_Y%JS1z3pXVTn#;9!2rtIP0MWpO_u+;8Hdu;2SIR zyl(A`t0D9nv$d|;4FpBd`y&93Nf6+06wPICBE@LCwBzN}5e)?HD{s~Ewr6?`#1_p~ zOXK;x2#GPb8dN04AdTZYdTHtf8p|)&Qa{kv?xA5*Q`E+4qQoXqv>B7L^42!`T3?aG z?%GLcS7zD7TdL6_05Mm0oI?P+N&q>hI1cdp?vhh_Df;TF1sxSH`Ore@uliEw%=r@l zD45s-fkFrYF2lBf+=?)nfQkPV)p%mlMSB+GK;^St&M`(<1D#od@OhZD(d+dRkUSv} zC}Z`pjR!<_o~A8S3Uxj4c~JyClkaPgVr|$e;yF&{Iyo$>WW!a;t$xPtbZ%Xe;o zas>2r3F#6G6Kj!a@>3LZWf4Q}LU{lm%5mUcnN98@YFAa_fYXuHE4^kbuGJO@cnCCK z`Yj606{s45YLwn89hMXriMRsnkQ@k}gF1ngYI(8s)~N5)Q0?Gcr`4?G7MM!J;E<`C zPiyA3yYBHk4qbxq)CtgX3)NlL#2wC$M;?2S*eo8rhvpm!q+$XHpxcoeFrMA=QdyWkg zYa-jefD~x&_va!=o_-jvLU39?PcCh_`SoHwkkwZxTGvhfwmTl1`D@~K#dYzx12=0` zzIy6wYsH$!BeEVey*$!ulI&4THRg+nFs_e1+D)elI7M3cc$Dxa6D zLu-A#dMpZ~T4KMW{=%~)0YVy44GZ@?=fTVQIXoNQV^v=bX>x_z|a-Lm)Ltyt-}gx zo;h%MX}W?O5P1|xE$@&6K@Y;z*wGr}NMfr6l@A41lkb2NajIg(K8dBW*`g@YCdIhM z^L4xukrKHm^k_og(QHmZ2u~q~aQ&bOF z%O3jk3R=`8z41(q2?ie8#;EVT*Gt#KN9F*!I(x22f!6)OmNxWK)eI>!P1kARoJ25_ zAjDCKbUN+%aPEOCT_unc4kT1IB%M6&o{*}w_y$uUi1WD4O|-y{=UCKLJkn;*=M$Jo zNER}!5sgK*Cz0GK-r7IP(V#bn@$YDu1H`S!;1q4u$y$_JGN?Eg^KicukN&<)a**em zhQXQ*OnM1>4m?V{dF;uK=CHrYFh+kY=w;RE$zE8Ngb`#!+FfC6QkYt>tn(0GEqe%E z;iU(EW_%t(SB&SBv9|DtxhzAA2~{>hYKQaQ^IUXbKoUutPoH2MwmhiBnQD?HUZ-5Z zyCt8%Hm2t2kG~yRUJ6tJrK>2K0bsn?9eMW#8+0N`GC2;QM?P^Vr5KcrT-BH_PSjkR>MXln zt-FrIGIE{a26C(zsFBX88Evn$-Fk&$&;1!fKLpsSL$_Wm20iY>0hG0cz}>E91A`MF zg?rp*RbI=0ZLmywdfS2u9Y622eIzsG!d~L|;+H6CeH>rx{duA*+AV>|7LY+@i)q|W zUyLYZ`ltbhQyi?49Jo&snJRGsWw000KdLKw1`pPGc+5-O7=h z4LYMTnT+Neofm;?wcXuemiS}`O7M!w=CY#tIT|4w$jYPa3me_|%jdO)lFI>1>b$4O zkBe0^m-7zLJqXjFSb74pEA*WMnE7nTjIB|f^T(9~cgO`K&9~S$1}seWeb!C@;b(;B zl|Ia;p@4aO!q&{8D+n_xR>-J>lLT=%WlOgj`02~#oa0b9y>`Qn_PcYQnO)oJrQnTK z@b?^)h{yqqxPZQ;B#KgBfe?-nw@Y=4)JlI7x^r8?fCTW3cu@k3r{s}=J4+FxE;5W| zfSyn2I{Lw|_sGTU`Dldm-ag*v>G7C79s)jB)&NYLV3;050q{&ZICZ>;VUt_N!CA2W z=oH3no0ubt=KEDHol zIQRC!Je2MS4$7M>rimbf4*Ty#h})^+0E` z?BU`}8nfL%b!!g?7%ku|K_rnBRO4PxGn^xt-9iDE=q|;L%xS7D=7sYTO$Bp|OtT=6 z0lBv-_?6s*?@QEFGU!l2Q!J3OXEp_H0-4iP$df#%Rp)+-NTg!nv^B zfJD;lbB6#V+rygL4Q=eeLHX*H{mNI(82&04CumaA?r__-OXvx9K||$Fu>3G*y9vzic>wy2Yjaw!*=LxELqk>gpV-an4L`%Dl{#O`~Cdt|s z7C<=jk^$aE-_Vik>?T$}3~^>dmiFjWEUg0o1=s!^Yh_s+&2+l&&$_>aTHHm!zV#6~ z@RM|y@SrGd8D4=|-=gQozZw@SeCD3H(r@>g6YV|GA%^1V%Oy^h<7Mt9?D2Mqb1qr2 zXn2lIjK_mQvr(D{X*QQY_m~hZ2vR3yS59!|2B1;|P1c$QuL3p z;=w*qNCW(rMn4RyE~9_hc9m4#Y?{W6r))EQ>9FIAPmr1yTpYbctL)m!tI z=6aGe_MYoPuB~Ve8%Q;;*Ue@=AD$;E6)$juuU!!Mqg{Jm2Z_QIF#;`MR#*^O12*La zH0G&g%^kw0yeOLX+Kusr*&mpf`DqX4$W81T8eQ-#|GGl47I+VCJ_pG)Tz81t8CPK8 zZ4KDyqDn07${)(Al5BWI2T{FSuDf#q4?~rFAmN5(VD;v z?4nW6SLo{?i3A$1WQvRc+qP}pj_did#-I))TDm1TYZP0m5yu?QNUk#2`JdBA$QSBG zW7;jyL;3yB$cuOV>buVj@7m$#-&ZrpOChiQ-Ov0-3AWqosPV{u z%KcoKpifDm5^VIw$5DF$TT^Lt;Qns2y|K$ zU2qeVzS)uevhQg&o1Kd>#!KUZE}{0MbqJeZA`8DA7&)?-6b-o6UNB3rKLagD@kyM& zpKl&nV-86#iC~>p{kR866;!L2>-FjtGC5xmKf4lzK%TXU z>RO(2%2sgXLMz|j!a+Zb`PJoy`Ax*DM-W+5Yl+Yf=J9LtCBbB)>I`Q z@f25SqaTrJ70n`I1W%+-S~VH0jsdjxs)TXY1Zh-gOoWf~p0Qi3Aa0yXV&Riul^{o4 zrsENWX<|X*PSIJN0skb%=bY9G^??8!{)t`&fvKa-_+t!|nTYq=tdS=Cb~0H`pEK&T zakugggmg6ABWv^p6F&%aeZ+Y-B*;SjBS?`~cQo+fdoGWcb<|6J2dZ*XU>RsklX%eA z)#D#iWcA|>I1OP7pd{6x)tdqFFQ}U)aHePpln)8yRS#J7trZ_hQgo?I3+2T;RX*lZ zH-{BH+@#q%|Dj-ugo)jvIPHRvZ?r`Xh@htxoQ$&NCyJsPcb1GdE)Z4D8@iXqu1if|Nfp4N`Ngim=5frJJfF`)Q_C_H9$PZh{Vpy)H& z-?C&H46FYh{Kfq`#-4mLg9LTAM(;@t#jxWsNntRRZADabgK_KEup(s5a z_ggr-#_0RLS}EKyj9wm-gm{x|q>$(pI4YHEf_&V7_Q33tC@o|R5_$=zqMRb{Q{FMS z9PI0BSf0Sc2ehMH`YKTP_?h;jo%i6JJ$;1g@XBZcp+Ad!44BigekByx>l*taAQ2}J zE#fvoOK6Eebb8BT?6Kn*EOr30WxX16GPfk(Id)^I;Hw1+A!L_Q(1uI`QD1{NL@J-$!% zV-2A`kmmJDB4%Ys0C`*x=HLt}OE9P)*X9(k#}fgnWbnBpO9;DA~!)NOG3SfYqF(iF#a@w`EezC!-Nz&L}BlL9Lf@9o#~VE{`a zC!qg>>51Sm8A)a5D-i9mNQ;obb>bXvvlsM@dT1q}(s?yZ81o){pGf`L2Xp&4=bXC* z!(VAOUo`ewl!IImKh z$2P0EWV92#{2cKh$z*~fFU6AdEhc7zihdyXY8s}p%CL@^)FeoVR7ls4{shwI9l#2# zR7eJib(V|?QC12N8x9bx_-NmsM&Y)mdBOO3)tEDYZnEL7Ryk|5~jBxMsmxeR>a+MBsW2*NPDit*N z9I=)ItmU?)9kICbc3#?vG7N%Ht&VtJj3nx2?x8FSrh2@TrQNNgemvVq(;^2Ep>zXx zj|5(aMDkJ?kSgYoo_!v*@FClq$GfH{K(nh$=wTvG8W0+dJCqU}6S*j)t0f;vM7}~C zMHo{ggU7rEGBHRM(gY|}AYhzdVax48DB9g^f#&bA)?lV*jf<{6?;prwQ zv{L8sOxVu6k3RSWVvEoe*lEfF+R^aGO2YSXkRlhvzu@Z?%GfV=y~sEHKw?qq4HKU| zL?Fu|_7qb^>}{2H3NkHZ>(H72QiulWLLc2q19Ae(W8CMAN?d?b!p~{DnV=*S@7LMO znj=U&?B96-1}z}{COmJW5XA(@{tf7eQO?|Tv5`-UmblHK9iryntHQ~^d_1Ke79Icm zK2iRz3BN}Zf54KxaowMO$FCnT3!h*3m*JNYM=}(POLLkZ74H3nQ{@aU^6H_4Vfd?G zeeuuOpZv~G#-DH6fAmc}`MW>)$v>@~@BP(|dAt@2;~(Pq$1m~6&;Ri^U&enQfBDbi z{}6xv)9=0i{@3n*{r+$M(Kq+M^N+sy^8R=6mwyNU{k!<@_wnDq_ebCS`gilTDca_1 zH-|g%&GvWN`_JNkA6L2mLiz7L{QghwU*3Oy|Gjuh;+5aI{}mi-Ke$x9##`<0UvT{V z?~kAVz4*&-KlHxFFSb8v9sh?P{+s{yk3RhCzv22x@^$kn{BM5!SKZw6zZtLhzxeeg6FL^gq;%T{Rz?%8s%q3qRy-^&!P|l5gI_@VEc; z_x+P^zP%(s>hG^jKR?F){)_#ON8m@#em`R1{)g4)f%|mNtrP#Rc#2QA`*Bv{|KpFp z^nZQtrC+<|hhKdtyszeVV*@Cd`d?Pe)dPd{P5|8^X_MV zgkRk}LB+Gihd;gNmp>c->E~bE@Y<(0?-q0YXIKW~`uN-bYQF39;9>xNFaF0E+21st z_dmG*2l4-l0f~Qtl`^h`{}aF9ga7I0DZ%P|udE*}%fI^Ll{J3&e;+^m3*~>xKF`iS z{PsFOzKQr>u{*LlsvEH7zrOmy{QCVhzx;r| z;6{G=;r8hT{AHY!UwxdY@7?B?Cf@bS_mq8IM}v>IP+u{>{K41%YVz|hAfT2tUw-=q zU)6WJ@W1yWuKmN;zWw4q_TqPM{B~{p<@h%Kznt;?yo=uE>A%Jn`mtsBzPbMs&C`GN zdGGxe=IP(~Z$EFt|MJ`G;PCi>BlSmz#~*xtDgF|F{iAQba|XV`@4x=*HHgmb^qZLa z_BRhl{Wmc){`TQZj^cj#f%*9tU!pDe<6p*CzWx2@Uwq&H_*d$5eDCr9`_GU6BkTT~ zoQ_Xp_MMaPFVX2(Ku%-eB{^A#! z8$F`t57p5){^A$!ZT%&V;K^@wxoadEdkt+rqP?)UHZ)A97f z7r(oMAHI$Y|KC5l@DHc*``Zae^!bXx zeO;HWUHRVEK2q)#&J*VA+RZEfi!X5bZ?FBU4?n)_mp}jRpT7#C&j-%ulkDf?vHJ1O z{P8rj-$!teSKoOcI8wj(;`Q<1`?|m_pd%Bf+UKwR>f6^o9cDlOqDryifAwMXN9(d` zzWn3&|K;a{^hX!|`Oooj1|R z{lh=g&*%5UIo1{*;3E9PfAq7j-j{E_9G?((`tcC|*_rw9o{Jy9iTV7NpZ+HquJh&U;?}jI)6Y{_+DR<9pvd z&c*m0fB5av`}QG!c<~?4)j#h#f0miT=e`|+&jbIjbfP}FPk*_4|8n=jf?$jP--CM z&dtAt@cGYn;C=CDI_CcHi%-YfbnPk?&3T-}^k_KUy%q zDIEE=bk^m{Q0K< z;$Pz({Lql7zpWwJ{6!22!+bU*%g^iTw~6w9*Nc!lvtM72xv_6z?ZbCPf!P1)Pkw?j zLWuwU+9t0x3bbT;kC6xSGxFlw?j8OZxqJWLe+Q%E?_TbbDiU?bmF;s(C;7G0Mu|tp zZSle!f9?0a+crM=1k{+Fd<`9uuc@z!Ec~XfzpGiq`uA?+%U^%d_-SR`t)#qQrlJd zu88fm>wN)USXmav8sD~>poncp%=6O$U5B$u z#{RejRLX_JaDy6O+nx3V|NNP9(FqUWUi1C;s;TsX49@Ka4wSJzG&83g!$fIc5Qg&dyfSq|3`^d;ew|-`uXtKD!s&lk)Z_oJkJb`uSdAuhm z{gkr-Qhdh61UHJixxT84MNbdu^);sy^W=bu^zNLi?Ofc?UJGuR4fgY}<0(gNcFh53 zDgz`#0)3+6$XKq*op#R`$^BGq5-S3hgy3*HkM0y;n>=@QLYPf{I{i|a5A7svzb0!a(H2? zX+AW=&?%XmzWq!I($CZWb}6B4zkY$rw1?F2YGNvFFtw6|gtpKmo>*1~C7EjqFiPSY zf<`wQEtte+?hKP4+NMQo+>RUaXhS0DOi4Sdph$AR)lG@PAMrX-^p~r)a;NIpg}7Js!2J;{N4r2o5g%6iZbP zgJ2Pz51^{_5A6{UnV01Hgmyj?+cahP?O29Y8{v76gT)AMGbZ~f`gBqHG|E{u0H?R# zbq7}xI6POUWlMgtzfk1*Afb(-0z|d!VrsjbyMEg=B1ASjyFaWi`E^IFX5(!g^b(wL zmt(hrZuL2{2!CeNfSnXx4D7P*x`4A$XTb+22YTm#gXhH6*q%j^K)fCH`!k*jKgqU> zp2rSt1>`yr1gbFOFgyj(+>p2@XI5v9b3w8qcn@75gna<8H_*!~Yha%#Fyj2u2MpV8 zh{pjE1aSc3N@Fq&h!u3hNmS*B?DYf~E`9BHEE$Dr#{)pfjr|LGeGCrZ2fb~~4v-hL zpOEBneQPtb3eyJY0qVR6*0&o6as%@|wD<(?CocK8*^mvjUz1##u0mU!pmDJa6bxpd zF1k6n6?1V9lGmQ@0sc07z4OK5maK}ds{9VdBz2cc4c3P-G(h&AWV=Y~lN2Ih0yz;|v%P$x>n3E%S8;3RB-C2I$8HR=sP;hdM7nOipGe!v>x~)7vXy zq=ED>&K3TbP9+JDBz9fW+sAUk-r`M$ZfBP31axb$S$v<-BB=Qfm)S5e$fE(+D?bs7 z5pD%FUN=X#0w~{f@FSZ0^yypyXUO)VJz=|%eZV0JngqIy2*`LQ0k#Cqf#x*(l=>)?I4ssz6I8&MRUYsH2$&*hK@hU zKIw@@jWEmbc-c&zUH>}z8OVLH9akb~d}`lc=nuE0_hxg`&wFmX=SW$fUqF~0r^2Ns zK@HI9l;>XjXCT}T-rVe!r9MoobR4gET3gv|knWt=&eZz6@D770tVwadxUDR@rs}(K zZb#cV-_)>!3)x@wROh?wlsg{P$tmBj^m#oSJN{1_2;;fW+VBz&nmx?126ZFam-1;2 z^NQB#xq_B`^viBps*6TLJHEE9TbTEvbCbv&ZQ1N}LrbCeK&u|{crsF_FUH?N<8qo` zAL7^szB=F3#x=$V(jePs2{Td&x_(xT#z(dq_7JM%ZSUyBi)z3Id|nIp3KA4k(wEZP zaePyFaGZlDn+LKodzc;nwe`2oWhqMew)P?U3$)KG<N z*Iw@rEvA=v1CE${eHX3B&m8GlL7R3%-VRdb)vNxc_11gNLJs8n3Ued@epR38WYHfl zb#Qo+!Th{BN4~S4tJ?YSKF{neB>(!&cukdEPoI9w;w;?`>!F>P{&eC+_cN&2 zl;X87j!;_k82Weu8>Kb{osXPmAUa|dOk{|OWs)b;gVqRU#DNk_grjS2#?H)vN}vfF zDuscF_N;JVcrj3;_t`eT#_GXJR$X>lk~K8E2y1Jw4PVDn2<8!JTTf;44hE5Yi9N9Q z_q9@(SnuD?u@o;Z=$RR=9@v?ZW>{KKTckl(Ropnp(c~-J9qhB#>b(Pe`E?H9n% z|GEJcO+H(?lkns7_51s=JW(r-58pR_O>ke=b-jHi=6a>WpIB7~=K9LjlX)+rBM8UA z#333(>dv>@)7@O_AL%j{4{&!L^3D5f#|UkfJ^l7aHnNe=rtZWV?xS6>A?NT+^wryE zS%vpmz5RCo!j63QZS>kc!JN#X;tNlAV_%bx>uPSDAGeGX=T9Hx(*syY>E@^}z(7FI zS4GK|A3wLt(MX+J#1lO%=P9#!ZBvWz02T$7@Ur0ee)>&Ary91H%6;}c=WXbf;aFCNht=$`z*ygTN-5LCIv zVw}nhmX5SD4j>Ti_v6xGj|1h=li=PC351087OG6ksPD-wk^5A$GV|r=TjsMZs50T# zNYK1qEl(T5WQ@IV?gSxOr%xdC;MyotFnEC_<@mM@4@3F%y;wSyldkK}_B3f-|Mj*( zKl+TRuGeC_)v*Cuh*~t-S-Y#FY?eIloeh}?1IwJ}{l(sNS##E-*R$>HU8=L%7W)zQ zZxiB>W+zaHWX})jXi@!f5KUmflXT7`OK0_1jb`$*Km2)}{W*N--{v!KzZ)^iVTPU0 zokqK}!|1OitPN*L-`L>crtE%wx1fs!Hy-jMx7C^2p&vIE14=l)mi9o8?`7+`gynIf zUE?HIE;N}#v*guEMa6j4m*-Vz+in^>Ip00P#B!4=lb?!0qOF64?g z*cwy$K~OHgX{3|XRtAKcBzVxL>8&up{{xaAVM-R!nI!p@(%vE~oj?*)n(TM#EYUqJ z*0WGvy-wqq55g96%Qa}LEu&jJkY-9kadGjotYxROnbDu7?s~=S<(;f7<%z|DL<5ah z{j)iRV_c$4Psva@?=w7TSHRWI@f>>;)S{R9LM;r;Bx(eC^U-!JBIqDMz0{sU zUhIVMXLiyO3u7`T&X-A0udlbwVqAkWP|Sw#U4X+Tb}AFjG3n-lt(Qb^FEEFvW&pL! zBxiP)+995lZ%RO1XK+i%n}6(U7(4XbP3!4)v?r&nlZf1vgV+vyavs+_oQK}UWN&2q zVUGUU%Q5=M0sZgcn19K5s?1FTtMr3T;HW0Kb>|N z_YPQbXKC1u&#|3&Rm3okU*yt!5lZ7;DmUd2Lh=RoJ2kZ6DJL=nfuN*;JA9voVl@$_ zcA`zUC(ps$Ky-Sqi2LE-s>4XozB{fJ;wXn8pX2ifq+Pg4CeeKKFtlYs&`3#?(VQld z$9y~H9rT&eSkIl#U8*DD_taH8DX&@Kq~R*p?$vR62XMOGHcV}t_QOZtVQ)DD<0n^D z*;0g*?`wlbmyN7i8x?@>sZM1#=DNEJkg2th=fDxw$n>qqkXGw(I-z<0;)4JAF3?GF zEX4guwXVU&Vd-rGT0gWc%{0V^bT^)2!2x}>8fY{Sm$e7mwqKiwE6~!KKhVbe9O64C zts2%tt^hrURKs@A50yYf0vG;7L$)g{Cc{YDZQ$fBgJ|hZ9H)9fqve)z1>op;+69Me zRgY~LSqyp;(Z38Vt&g6#=n8DNLf!=(lEm?pUooaU!}hfcHoXPsp^fh7-VUdQdgap| z;XSb#o$plI%+BH+4dB%gb9cI&jRy3DxSofYnbI2x0RVYnGmz>_R!b6A*GB@$MZsI_c=-a=ny8qEao0Nn*Y0|Ukw8aFfM$bu$-(ih3z+!dtATy-P#p77Odh7>#H=81+q^*l#3pNzc6VRa^bmc%@AR2Pt$`c9xAHB}6v zH?|pJQUKpSpy#ABreO1sES6jo3fhn;1Fh0c$?zw^D4^-vmO3N`(GoNgO;y_oVy4|X zf$vTV>$}oPU7+Xy+4A z-BsYOqjzeXFbrfyg_6%=j$iG1$<-`=EfDmj0)<7L$5prL@zYoTvdcA`C%=t>@`oc(Iyzr4+*J8J#Kb(I$#gB_VIMi zSKWaG7hsnUlC_v|oz+%UFn=cA z){<|^#Zf&>PEF74&|TlT?iy#n`?)|!VwP+jfWA46nFW+{(Q0@}tf#(&0%P`)HcyhT zp-^a)!xSw)n;;t7vpg(lI9JEL(HZ?7xhR1RafwqGfSQVL_{@Y2+j^LYi+$5K@o&n1 zp@(X59Hg_9(Pm|IF3Conkpa|QBxZpfIV-uaW}bg`%kPTj#O2o+)o<;|8J5*5xeveerxfoX}|HrD;AniPC;L7j5LM z90JOUjd4bfN-cc#y$=tUhqW5_%OX{J-#;QgA?myWM?K6xNW%u(a@dWLU0PEjcVR6K z=y8vDVVxxCS1JXPKt|J?3)!*LB$Z8TZDOLIxbw!t5bH7OkU-^c=_8BCjknU=qgXNb z3z)ni7d8m2PaHau6gokA3KrT7^JJuPS&pq&lFu>hmHY!+5o=gfl$yu%JvK?(J8sav$Ny? zzMsQZA$G{?-euVEg?f`1-V0Wffu-6Dm`oPe{rp6(M;ix)YH)VnLwi+LCc@fHXi@XP zS$6iZ)pkn6EaSU1>jHW|-9rT%k^2_1wuA&LFn+uYXFqAA5@1pu3u=D zkG;cq28?k;isVpC2nX@idiJR&H~it^8VIjgMb{i<|JRADdtRr;DFK@_^%#k#( z_w2Q?``KVXO^P7)S~6RED(x$9jHizTxz5vqMJ&to9`cuyIW54sS0Oy3L6E-eZ@Y!O z3(K*Dl{SyJOMkC!-OPxv5a>idZ;X%cJ1ih+na$X>I9Z=XQHrsN;FE5h!%aS(%zduO z`V>M9AN@tE%vo2rMTBQZZ_rO9ITz-X^H3E!1ZEwAEjZvuv&uG2H2u;U>*a@b5uJrs&0<(;LWyKftECJWOt7u`#Z! zaFF+!I)Dx(KrxAr;qn{LdXn+K_yz7t=FW|Aw|OYb#>ue zqj5}O=yg3eN zVz5P_r5U3>ysD&z__PuSEMld?-|hOMzE zdNHry@jenS(0CYENr625Y_DM7H_H8GJQImb+gR~Iz$%F1y6_t(hg>|HM+wuYlS5Ip zUdudCB|(a2*e>%WwNk<7yg>YU8kCDjc!X86M)m^A6wQ5Gg3&QZ*Hv9Exmwe}5x8X?3)-ttX+jPqSMzZRArb-& z*Ss2?0H${shy{Zxe&THJ#A<6Vec_#tKf>&TIDqlNV|O^ym5Qxi?Eo1v%0!vsx}+vt<;~td=ILbk-Yj z!nMM-#OLPM@UHuzJl1(@y6P3zQPaVn8?>Pt){B3*tdpikLx98%)_@MTQKw|^q>c+D zMaj%yCrHCJcPFH0c7gAn=-MHRfhNhelYP1{0TNN*PlVB}aDu7te9DE=>Dh5;#TJTD z%C>@^1?)w;+regB67{&0zL)zhRbDgW2liALjMviK%HrahKJ+NC4F?p1XWmk4)(OAa zFHX~w_S|$QW&c2s(OsivEkEal5?~`Q9!5ik#+GtHdYS2W5OkNaw=B8Ys-#>sOROt< zP#hbjx>Xf$3h4GRs3!-08MU0#&Tf6N;kO1e5Pmsn{?Hq7MLxm}H#xfC)8|0q%%R@4XBUP#y+GpM3pVytd(vTjlsq@rwL=^&cFVNr5k-yxm zR$J8xx0n;Wodi@a!_I_O+J=7Kno;jeQPVtF^tUgXs-B8#II z3pg)nl-#Cs{Q$z}!JbHGgUXOgf1)ssoF#xWTcexi8NCbMb!|Wnyle-Nx>E$2K@9W^ zATlt~pQhz_xU5Rv{&=0sy4RiELGr17(zYF9Q^7#C^CeD0#YyKg^0cTfM{xN@QI|y$ zYeES-;kYe9t|dgg?CNp`P5pI>x|Jkr&5kH4Q!xjml3~N_6uxdFUmBOG)F_7kBws(j zPt`i4&}Cz$_A&&tk~Q*ADfSAZfn+9PVg@?!;lis%0Ql~D?t`?EJs}Ahb zm8oq>DW{D#p5^KxMzY^UDkJwve{op`K|j&cBiYTA?X16yq?(5{)H5^&$?lmp);Sg} z9YMHeEVm$sJtg0^px;B!qIAdFFv@X;70sZiea+qlgwZFw=W#yStH;O>R1qRV(y>enLC@QQo%8)TC#Do1%vDY^Pz=1^3J9~ev;rCzoG-bjTU>b6 z%4Q+ed%K$&x^)2myC)M(?5xz)7Gp=L@MEIcc^fCO(N0QtRwI>Jw3IWs(tZPBoZC7k z`wIz9AxG5T=i2&?!sLtv_thBkxUMWy#L-Fp4`br6DyEpD0lh zo8%Mcz3F#f?;FXX*!#Zk%^41>yQ;dYySlo&x_TYIARw$DwyzRd8B2yFM~ECHKoB5` z64(lY*s&5Qabh@*5XUeQ#DF9x3T(-a93w#z(D}}(uB~s~d;7lIL(39D^1iO+)H(k- z=Rg1Y{XEQk`|u(NLsJJm%85~LaK7CPx@&J2zH^Dh#d-IvH|F#4l~#AhFWXW8zQyD) z*bXdWwYV&e%Tp4{0e=J_P{*Uez9;dBM}c#4yD5fxvzBi@O%LNkMB;_3=^PuJZRdRt zpBauiW&acv@CHt$oZ6P)QtK4LRoEYT0DMPP4V+6&PlQ99Ux~;h$(1+Ib8pscoAIt< zbJ#+C(HdkKe|DUYPCJmVoG8kH3a==uoD2qI&yZ+0fk;Fqtx`W zrQ|kDU?-+l!$oAXcY|-sgDhZmqX7@IokFPaY+H(}TaQw?U#z$T^ZL%`7v)@P<*Dxk zUloFduT}Oh%J7xty+b(_U3h|Cr4~cA;6S^yU>2d?CM<*_>)wFa6}Rh#yOY~Qra0OG z(lRZKy1~M>I|C>k;xeyDtMPH^m1?U%w_AeO)nz9bN32K3frt;Kgo5q9Y@VIB1z!z@`ZRb*AU5|@8+ozY zs50VAkh?W+6|$rV{k)n7Abe5T%xjB?e<8C;oE<&**d{5dkm?2(BR8{NrDr}kA}1)T zm8|Bw&GshAW@3IBLTg3t!6LShWPmWGN_A&&Hf7fB_B1qWf^Zx71QV?`7e@tk*(a8k z?v=90h4O>2l1a4+0cPjlk3*hDVZSbJTrD==4*1f!K2Ui*F{srkuQ!)ZE@d&^t7H*h z!OnYftW(`?TU}H*9J?TMtc9R2>X|IXP_K}UNiOfii`YJo)Q-cB>nrq<%D9$5C`qCg zEc<-eX;6 z)erQm@zs2kkGm0x2Ttp*!7kK?Ew)ubfth?^CM^IF=&qwY43-xP$}PsVbxUpl%(?|Z zu^(yG_pbiFR_MYAjPg!t#Hd#Do-Uw=lgV*lu?WoCl|b7aT!>z114Yp^|?0!TK$X?Hit zXg#)wrM9`OGcQDl4o7@+&OkO3r?wE-`ZDV!Di1N!i&eA9n z>LT<|+15K@-+*7B_9yl-gSEbi&OAZqPWDd`7nJYx+(4&}hJ9UL3=By1FlTuP;IYgA zvS+qP^o%6X`{&?rWS2<3r@z)0mB;sm1|qIZ=@tQcZLS7muyY4M>_tJOyFk!~Gl zXluHKAG81r{e^1lb7mEV@AxIT;;*2DizioH><6eN1N+Bz9ZJ*!ynEL3a#GiY*h5!( zS02F@+-p}{=64|cL-m6UlpJyy-QNK8sp>42X?6BqX8^Si#^8I9*5UVTBDikUTMGFA z4O+`?OZ!A^iq%~u_CjK!be5Uz)>(neO)QL-N{}x`=G+K+O|FnkqugtC)GcJ?c6{2G z>RHBDcLo;XL`J<0Uf|rWtP^q4lkp%{@XM`uwuibq>jH5sGeGDsZu{lE03X^O_D}C9 zxaO2;Iu3;4aKkJ4JMJXT0%6!=lldK2EG5=%Ws)7r0ZyTT9uVCFnf}1HK*8!wyq?d& z2NfG|nYa=_O}0^(9edpHC%Fm$zx0(M%_2-GDT#@=Gv}!;fZl~_WjrhNJX;cvOyfhs z>xwr~=}IukhZZQq;OdQlNj$Ab+QE6IE)P7OOtJWuu3dD9%l~4241M0Uop^x>>8v**$ru+8v{zl3%`f9FsoQMT2s=p> z_I|$-=~Vh5sU^*L)Vf+qPIqP)ug=S^IEN~_JJ+hWb_qaY9&frp0TcloEBMzWPT2_` zr%w*EfE^xp09QR}EC8@M9s{Z_j{Jg%GTsHc%78$X_Q$}NTP6tvVI-M#)~l|G(o3{k z+%}(?Wc_9LN^CDOU6^?$HC9XkIXuX%@_WhUS@ugn)EwkJNR{&DW7T|kP{lmeN$DK{ zq1&vR4LSSSJ}QtXJ^=1*vnaw*7CZfBub8XXU6bYp{;Ym2*kiqJd7AGyw+TT6{GkF= z?i$K|C=$1=N>D-4-qw1MC)l|RSMgzmx`tj6B^+9=bixBMc~V@YpDj&VD+Iko!u>`a^_$n( zp4XFES30F=C?&UjmBcRTbroZA-dRL^`&!yo+9*-1z)O{#b|KNvHQ(%@87as$X4MX@ zrlE?$1c7m<^iZ4?5j@>+8g;|BzJ8MryH_i3EgtH4r0WOqqm3j_9hJZ?vT)VbYkHoh$& zdtGIq0CvQ27go2iD=z0-Pb-6DVy!-SZzVu25jiW4%oYZK1I!*JfMg%$_FvxUv<@zvaoGV(3uT#(}0j1r(OAhr;?8-0d`fd_$vPL zKC_w0?VLC25kkoAAUQ*xp$v3i!-ypyesoess2D-6%ovOoFrFxV-D1P# zbfS?Al>5>UaXD)O7r8^(lin=7?*%G>+?21aI;B9xA1MS2&P91wC|82DKnQ6k%Bmje zxW)`q*b6ysSr6BECIGW-V2WCgGalI4zKT-b4ZN95X&WH zSwM{mueTJ~%_pJCHk52M{gXv3&979McG@1TMZU>J0aYA}^5sz?<6rpJoJR@s2&LIa zcB}TF5n(_LXTH#JZ3PK+B?=-O>?1hX;dYOtVoRUA4b(W+2N327Ky9}G#!WE8QnFBM z7eXyBVp@vedG2ZkszZyNqUMwnpG#w(tz0N68*~TMypOS1mKw`8%2e&g&I;m+w!8f@ zRN9gFleM zbgdUGIztl43#qsIv&<@3o??bFu2jDhSUCHL426+BPvWH3uJC3bmJ}J`Q2AP^9ZXg0 zm0Eq*7x&Jdz)Vq7wwTDHKCHV_X?WQptQ{U#A>=G0w=&y9{YF>SwMr_oTS|$mM2f_o z*S#Uhhw-kt-4GDeYo%70RzmHjm=W28r0wZkds;!%OwS{x7|+5r=;bGgM5^f9iJ_RZ z><6Zsc3AYH8tfqlMRBgXh!^y>lsXd!kf+q$-wsaoByUsP4J;6eZ#x&!%=+7^XY5X~wsh zc2NkO{N=}j3js%isYem2&WMN-q2-1f88gdDCghvd#i|nb!D`75JE{Dnnm}A?&%NBE zO~gz>v6`jFsc>%9Y$P}1*|v<56#Hq=1xqxLi%Wv&L^G3DAXlz!2sR%cbE8tx9 z5*TiMUBy5O(PAu5{2?rxKsJuEfcod1AZidVIA0PT>nQX!1%99wY@?%u*kuqWtgLcA ze^+cX0z%kBW+dp4t<{&bNnyQPHFlj#ZgE&zmE9N?*iZUT6;2pygGIp1PO zWKopNOvl|)Z3u|@?lhdt5Bj@ObL@$CM$6c&yhr?c-jnyoJA1Nj#Na+2k!qf8$-OaiS6{YfwH+onCi*wCKxn_( z@-?qi4d>^{RUi;zeG!znO2)E$MGUa@bkN-zN+RaMGoKDyQ`8wQwkoyKia|N|N~E=H z)fc&apqbdYI-TmO;~zpk_PPV*!DKcNpgbRpch=gFlR&sdqs>>hPI zLV>Z%H(bnxS#j6(PQ&9Nlq==}y->mhG0!(@bRg=<2x-g*c$}RT6t(bnSZ8D# zDEd0VMrz8t;TY=$+NcG%B!R?}A@rjh3Q~AuZuqO*;>Jzw?qT=R>8h1trDb!mU?KLe zfpX8HP??N6^VuoilCg0S``IfDJQIYQ=yA9H(00Wmm~Ye=A?Agk|L&1*8rb1@?=$rX ziXXJ<@ZV+_k8@X$7NPo#@AXE5Kz`3I7yC^acKH-a?d=eV5{0L|@0A0S5rd#stjR?x z&`-Ii^OU&FL6a%$yKHOK@A-qfaB&-lE-?2L_-SyT2`ri`CcDo!gODdesVHIhRSE;Ze_h>ir7Gct@B-e1% z&Q=WDjx#>57vXD_2FVR`mLigGIz!<~FY4VQo;4l~!{!p5s?Q2Au+)Rnv|nC{@o5rx z$==F18EBWmN%P(Q&W8+2A&nU0S&fD5v_bq7fqAYC7Y2tqX$2G-VCB3_YB^-r$tded zD=D_#&LdqA@lGq>0`)7RB0?%l%XBm!4M^o=iV+}kb#pS;?|K;Y3pSJP4zUK!80YDT zDZrW66z`@R?ZzkaItR*hHlt>*g=(jWPD6gjU@{F!Qxwt|p)Np=XFSS&2Hz{T(q@^pcsbUsqjHXPsfr$RC{Q8rv|BQ07j)ZSD3LHSit zVCP<6ptDdm8zoqBxq5|l(TgILC{N!M(*d{Anaxpp1VxcyqsgwPy+X6!56jKAw_A6X zz`iAqybuN`{?Z3smc8V1Kka4O{l2R;Doow$5!ab5vOD-Xyz%~aQk8w>LA)26x09m~D%y)Wto z0Qsn}^sQ_4$s&*P61}WbXtiNk9|SfzxxE-PGQ~nY5cjairR*%*DJGK-OJY0K1Gau4 zm-5G(4M91Qv2;4@ZA=o|B^S@H#sXTjQzVoQnhS^wc5--*aJ?nYX$D;QRMFG2|!I z8%lD~&f;6Ji7q_VbZir&_N?6^z9=HBe7lsfTN0%%=A@G3=HWnokyeT`hH)2hK35qm zV^>z$?I)`RGuez$y<%5}?WOkXoGVU|uz+;nv>WqMN8D(3(ATzs+^Zi>-D z(lyNS#YMRu&W)KUeYX!^MK2fHPlS4Hx59wpD~XA^3$_lVyEyswv zkRxRB;xWQAX3O4PdB~X4WE{Fdwulm|Fab)T#5TevGsq)f*qrIf1OhL%RiwAwc&0BW zzTv1gLsk>)fO0-$u>+!OlS~r6$3}La+RvA%^_+*BcT>cEOGU>d53AI7!@e5prn|`w zGi}IQk{(i@u{~)O+RK9(p=%H^VvYU?aj=OD5&hsHL){Oyf=%QX({ZAYFEiW*xsgt8 zgE}lUeFmTh@Jq zU!mwrxGwfgTjFsIQgHA`l%T*Jql8VmD6$FCjM!R>K_x3d}NHgniUxPu&+2 z`;C&fk5X&y^tirY2lCPrYDde8Q(Be?{ZYy`kJ!7mzu1WlI)@lS)n8mn!@30l%16Inzp_zRT8U zC=dhzmhW&J<~mkQ1ZVD?C$_Eo;&ZvjD9d=O>qXj$tl+s#aorkD`j~GxzEbeD)|7ZX z2+ytv{{x~s7E>uV=oQ&TV;n6EGjFTwV_fhvqAzUFb?=_YEP?^*dS>K2}Q%w+D z6S3n1yY}RGd;@z6AreLWjpoJ4sK(6}i2v`Vm$(woVJPuZqexr@nbC64Q7RG)mkZR9 zuSA3~=v9hsNX}phvFsWzaVsU_WN=1CVWgdv#}iaiOk>%$Nf?u`YFp!oBbkaAnYqbA zC%K#L`LK^@VI&%_x*~89_DO^zAgmT8eyU)k)u_+Ne@71$8ndu&`&hB&c0o4DN87Pf zV7Tq~z$1}lhQKvN=4C#+Bzn?}ge0~Lsevr`;Im_ZHNscA1*9=!_@!JU8jm!Rx~*U! z=8;HAV!%;o+g~AhcnOy0LJ%l|{nUOIkD&IRlR_@&apV!0pgAPplLSp6Qf;cf_`auv z$3TN2iBrOV=wX2Ns&N@<5t}&5#KhW7tj%mZ2^~;Y)BS+^;4KB&btta%NSx6ydM)WEs@q41`+yMs!{VQ_qj-8Gv~1jHjDHzPQWXa8|}(0DfSiz`6m8 zzl7I8E-7Pmm&mOnI;y{L)=;F4NaY6OBs@8WKJP44T&sNrULIhOWPo}T zLi#z%b0#KrluT6waKc{5wG5$TmVaO7oz2|fjtxAluxGoQ$RkGn zN0@J;e0Zl*UdxF1cV?vZa>>l%eUfuIc0=`VxjLYSlWq6?e(!oUUZB8Bc|J|dBRL7C z#+eAeK^E0dTL^3B&ACpzoGAEqaKKBuZDHfut;>~o8*zuofJcbT8v4@K%>p7q)IK8Nx|`y{i7*m`k`TawhOZMI@|{@=_CSv)nr+)~E+XA|v)D5}z7Bg4{Hpj? z3ChC=$!Dku{b_dETk+B?wAy7!{xAZUWX45KFM_92^0#|bVMQ+ah65l0@@Yed-1H3W zzEaf#e;Sx(wB2T*v^M+cp0`MH(hEbx<<~NL{!2PGW&5Q9WGc)8Vrs-+Dw1ee6oc1H)PmU|lO`APV#U4OK*(n!Vmz5n12sp1|vveo!0_M+%#1|u+tJ3pl z65&9nUl_LF`%?3yVV7-q6DTFMCEsl@#Y$m|qV5gkpzHA!g-Vd-6#Ie{&nM}ghBNt* zD2@s%Qot%yX5^8!EKbr=d;Fkb*73hOc2 zLN1WcAC{H*ejOabX-LnSeAF8&1&jI6ipSckczhGG;Bk(3Ha&6Qb9L%)Bg^G1S=0HU zGHjq_m{iKHn9%bf$Re9)XYp+*6AXerNGq9!J7qyy`2VPHB;aDLv7Q$yCa5@%wi z4ZvXRacYQsCqtlbbkp{j4(QutSd90vymU+lOwlkL@5L#k0~f}W#iIVCH)+KX0M0vN znXxtqu2XJOgbKzID1d^G_%S?ws1xAX07_a{R~rqdqazb%iquK27a43IiVM?R6nwp? zGuG2{w?-!3Gu|O}P|6qZscN~I^vxPMGoAzaMu3I=;*Zk0`cAFi6TZ`wR(sf)V86BM z?8{x*OILV4sCWm(IMx9I^ige@+GQ(Igz^;k;Q+rX^&6gA3JXIS6FYL!JxCM2(1ow4 z1OYLaZY(Rlt-Hz!C13#_#YuJPvpEP~Q75sB1M4jn+DS9`!vcuW+Nvr{J>f)b+if~b zH@k)gQ1q37#}yPKgwGWb_mxk^R^w%eL5vF4(T4bu($j>kErgj=hNEhqVu_I0X~1{D z&qFX^u)PUhTQZ*@dsy&!65ar}q*xAvI_wuJ@2_UPo|12gnD9Py0)p|;10;j>tln+1@&h3eunsx8n7AB{hiFW!fT{z#)cfhVA&wsDGsx^6$WTLpwB&i5j)uG|3_Wx;pik!m)SLskqvP5mdAIBWu$?O@B3~Z1 zVVQ9&{My&yk>bOz<#}5UH%qCOuLrcNlBc!F;5=ximYzf(Wr1BDxSe@dL~#ioQCW{! z4k0D&Z67voXL*D;rWr~rrz?KcL(c^FKpD(5`mC?JX6jOCng`Yv-%kvQEa&OC!?BPH zRT8Ht4=WI#jmHVEG)iI1V^X4h?C%bE#8nomY(=!@v#vc}7z~F+ zZ&eyjF28m66gdSOPQRR)Bt~m~-I)T16xB=){;^4r7ucW&=MW897T$VSw(Z(4g)WMRR*=Ro7iK<+D}nHWO3;^c=Eq3FYXi%2?Ol#X z5$9s!XLljs_9Q265m6MV0O$d78Z2FWG0iu&6*w)z+sJac59h)P)8&I}IOck7_;gEE zZ+Of2ibOvMbI5HcXqf{kw_^owzqQ6%;+Nib-MMRt?vS|W_Wnw-xJFfZvyN7AGX15D zkVQoNRa}9+-|2FOR<4yVp+wN<0SD{?WT!h!+Y?b!e!-K$22*5*rOC=ZxXv zMZvdjuULXd=H;Hl|^=p6#YcaiB0cVm&@r8bhjQmKP24EqU8h`^N&cBOehc6NMFQjvB~dGFpm z8M*jUs2XW9nGVA9a{Y-Qo zMY43Wbil;J-YyUvs@i-(WT;?yvdFZ1p;b8O%R|5&=9*QKXS7>&j_?x)@b|}o+k*nS z1}@k^-e^u_lCz1F%0&pW#wNaFIN~GS&pI@p3qhOv0q^ViBmgEN;u1KCDHz5Vu{pIv z6kr35NYtz|Zv(UsW4#x~^2^}Eo%tQ_d>I+07}x<>p`Rv-9g@jHt9>>^Y<7Wxyzuol zi1!D3PWl!LKmmr*Bo=v^gDDL0YjcV}8S-w4O&T7qzG z?Eq>AxQO7tndmk;b*3PtPQ}H3Sr~VXTszDh{?p0vu{M)tR%}U7A_<@vMH7pvGp;l< ztWkFSZ@)S^~BIt+5^jrr+BI{qF=SUbX};v zb3LA;?dy!TBwi&NJJ1nm3DGsNrK>OtD}oiCo4L!(Gy*BD?+p7~z}QR&frP*6tR)Ce z2<7dpgJ;(}xLV`th%ei113G3K6Xz8+IWDxpokzlCG?fWs#XS3@`;}1n|(M1Y#e%;q@xf zg>4C;gT+C}zgoz$KY;S)2>9*8-ZgTCyhTJ!0k<5op6Dqd&e{bKEg*mc1ss*75x&=g zEmq`(UOfU?V853*XEEeMd(N&4$WMhrpHFU!wWKcth;%-UD(%RJTj0DWKt?cVBK?Ld z0`GgAhKy0~!%qy%nH;_}zldr!yZ@{BqzU=A|AdAjdZ z_G~B`ZxqJ9kb4#yqg1sr?xm{}g2l5g$HpC3XeXk+c2H?;fg|p#WngLW?ve8Vkgf5i z7l~~5jR?XO{T>vt&%pOh@V`pHIO?taE0kn+W%8|%ACZ2!)!O9)N*M5ZwgCXo0W3G{ zWlF%IUo@(qqX&n1tL4iS3I!G(#%;Kk?7ITfP?!X$7uMVH*zc@t-N|BQ$}5wNFu)wZ zCRW}K21OswHw7fe!(~v|1_rK%CsOwzb_$`BJudHTJ5%BYm?$t+Z%3_8Czf(WrmPDw z!~Si3*#>@F7GPpqCc>>45Gpd3a@0m0CMCcL*0`8XY+FbcycDYTGc|9Cl%fwTvV1+f4ySyhoiZDkqeY zyaLi@6>>rHO6@Byb|0n~=*~Qi>)i!ifF{~Yk!pyPTBmkbJ{?Q=HbYgW-unRnU-8bo zrSYJRvhu7DLOGgn4|5#vdqbs30|CwH5@x@`mw11^h4|dypk0fmv8S*uX9#l4IZ*|^ zSM}!+t~lulJoE;{Y;VWd3~gY`Rr`C%z4s%0I^t=-`H@P5R{*aF0cm|L`L?92x+k)c zA{@b?3;IKFmG}kZZwyxTaX@{~7F}L+N6UMQ(mPB!nMEz8>vk6xc;U40J<182M&O6(Z z#|QPf1_{2`EbZG7AeZrV!Rg{W>#cKuA&Gm*Qw#aC$qazKYFSqXH~=9j_pVKg+sQrI6Z8WzSL}szoG{u3g84)baejN`Sa@X6VptmbX(+Z+i6a!- zv*z3D@UG_y@45w76#0qsQfCrK*VVio;N~M{-!&+Ed%Zv~M`})NdtIdsU8TA50)sJ_ zr~JY{gg;_D+>F6TxCqXSwXh7hA~M!1k}+NU7#X7&6RGLY?j#~Xa4!^u0I*tZ>Kd-X zV%e7lejx%ABjF+fW?g*GA1S4PR}M%=@_+Jj-Iqgw0Px)tt^N{;DUC3{B6$>BL<&Um zZTRoFuAk-RP3W>XQ~a2laRvaTA;uMKw3U^&--SzVjjWRa*2*|e{bXHirEnkXstzq^ z?`Qi+9P)-e7@P0L8Us7%2p;%+eKk4a;@utBdha5qND4l#aF!oa+`IKoa=Ge!a}4B> zji#T(d;AI+MFI=_v?9O76CvQCZLod$@*o71dX^0{+isW@Ae?!^?G^Z@LL8jFQYYO6 zyn#!tnJ|XG5i#xEFu=@wsoFlYOOiYbz+XvS6d)lyYn2)Kdjfv@WH}Ue((kU=_+khC z0wAq)OvomHlY`P50La@HlI@Ih;te#Kp3>Ii@%R9$2+}tFgb#Hxz)9oNzlfTknoUUgaxi1LcNx-4Qlj?i(cu9H zc>p!VQH$&F#Aoru=iYjkRK@)gir4`T6FQ29Spsr(-tkxW}a=CKhf*ZyUl%KtunWmMHy#kbodMj-`k(SK9`Q#e$0hhj#wZzy5qC>m$N1KaEMO6vYg#kna3-T#*L3N4f(UqZ_#z$tp-AoWnWHAKL(aiS ztfRmzmotY^2>I!AEJbqb@DY5c&n(d!l*>k$TVXn%$qFMW4*fe0LDEWV;~LkO4_jq9 zyTqi3c(smAwh~c#yM+qJoFl;vW@u(9&|1e&Q1;;Ib8SlgxRXI&TUUSFDFN>FpONiF ztAVOj#H|O3T@~?$b%z~zv9ZfKZO%c9C8BWRMgm7Cdrop3?Gv@$@{%%qB=e%!o#>b| zGBf4CUzU!?Z}!1r9y?GD+%bgOFFE=M zh>l6yg@<4IVx%?Q|MpP>x6a1+chEXmUdxyetplW9{MGkZsi%MG_=Zi#jT79C&yrg5 zrjHUntFD6a`#xwIuXyn$=Kh^G`!kVU?xy&Ie`8i(yg=>qH${$Do|x}-UVNir{r#p) ziflgp#ygju7uGx0CwDKNUub0g&VE#kPycI>;rTz`~R*(tFLR2)pUd{$-(jZ>!9oFuRCUIP9{6$n7)r`x%8!DbJ&PD z*c>){jN!4>98*COrULNRfupDuRUgc7kn<~PKrX812HAHXBp)~J8}&Dq&$o}3?Wm_O z`VXM1+T758>m<8UZ#^1+#G|gC(UVhHP#23&{+l|Lv`^C&|6!FRrY>q%Y&vP(oUdLd zqtdf%RZEhDC|UOKK0EUmVsIo`(9a zSxD%~rO93D;q}=5NPwOL695Ml9!t|OPC(}&_5c_IMzi4z)&ht5+vtmBAUlkFCMh%Y za5-lNhkoOjL@Q(%gPDjtcLy9O$l9lt4a@5tGHjT4Xs-t_N2sE$e*>2?bVc*mw+*46vS zo^fb1c++j`#QnxOCoc4oJj+C%mu})ta#=R}?uACCC5a;XbV)DCqy<1aOPF}z`LD_tJ!#U=-sr2#|g(hXT!0}jEE&4KqAOr+C9&sc}nzT|ul#BCK21Im^*yeR{?}=A|ZvFW}E@YOCfY{H?#I3l9$Z ziXr!2{TR+5YFXC|AVfHWD@*MUNBU#3iJbVf(Nmw=QxExbFOR_QSo>^e3;xR%t@TZA zz7)inWK~{wFD~s*xi_fk(O_@@XNp^D?rDW~15O?@r?8TyLpwBun) zAdAt?`T%1Em9Q+v5rkqmR+6BQSQI#%sSN{062dw}Zi_e$1V${M9@=}RdB=2y@QU?& z#tdE^-@yQX;b^(svYAg^fxmpzgz=dVvD+Wg`#gTXkDhApBY*Ct z8P)y|n_gPoKwq;gg8OPlZo^;q@P_mO(@A;-qrL46KY=6lKm7$wSFoKV7j?5NIeE=N zM-UMt2|ozqSS>kzB{~%1^v3~C0su%%@KTRpy!U(h$i@zJDu49eQz`$r%~%XJaP{#e z6_OB-2_eY{(>+{Pm)*5UTtogjMGm7;qa>P|26|F?2F@u{pr>YyxcfnaAQ6=yp*v<< zvrl}B*U8|guNZr-^KTvea@>|7B9{?>B+h0N60e~+FvUEAREa)F2!%&z1THqJG?Nhn zDDH4wx)6}EFDti*f7Spn>bq(Z$`JS5Oay?%lmvfs+d0BWh@(#b3=i)V)|3|1s|7hN ziIs?jzi)OS!}D))k`dm4wI>WUZy(wc1|vEIZb`z3@g;QIq^z`dYuNEIedI6V%y z(0t~o*3cVAd<68%)ZjzLlsXS*Fb(QlEk0yaNR~9S$d_VNrXiiBxrdDBl_RF9 zZ{VxrJ2qc2q=K7tS<_}Fr|30R?f0Ve@Z1QZsLDl4jvNj2gg|j2$VG>6iD!-rs?trF z-37w!IT8^p&D4{#ub#2wJuMW22*o%p5RSnzGOL+Z)H4Ui#*8D#ccJ5;Q4 z2O8SZ0~F_{LlaOCF$0m!0iOjO1{r~V+R)Pti=@wqvyE{iJw18YrnPd9moQiF9`Rl~ zUS#vkM>Q&&K5SgOce^GY7kl`$nfi2&)*dn%2&ISAC?lomJF$X{{rS(U2R2l@n-BaM z<50Kd1AhrJnwp@dtrEtu!Cu2Q8wm1XHAQ9&+3eU#U|cqDoy1Ayq;!oD#+X z-aJyETJ>iul{eTsM;(CSk!Q?cg!Dm)y+CCwu#@FT7NiM-TsGw9jAjs$MPb5SOK+38 zA?(pa*goiK#BlVbm+!x6Q9q;=Ov_(6VawY*6MZlNO+z?CWA`43iOED>ekzTf^?*if z`hNH3_^I1BN9WU2-Ne$zf3+MjdP2Vb`fb^eNSvYhkVbapvkL@=j+nU`?l~pNFLRuw zGBHAk$TT1dtD1Fbyn}caqCX+AlI*;-0Qu*FaUiP)X}lyQb4N~DY)I{lwa63brJ9He zO9xBNXU2il%^`QO+#o2zF&mJLD54z_WQuKzQ(M8utZiV_j0k41JbdZG^l{@z{S-B^ z98<`&GH-YQGxqn6_l=R&^TW3hSW}8_f5=!@w?BuD{O(alZq=7YBtht1W9ew4pbEwJ zUYmLoC2VfmQNbo&Q2T}{UNCuoca4g4wl@6f`fWZOe;NqYQSZr$p7z8P6B>Du@7s`4yeS+Auw0}RpNUabR&&ep{ z#X(pxv?Zcu5SdAZlF*(%IDd(4k+dsw%f^-3B2~{!E8-aF%=y#g6jNo_}2$kJ)M^>i|wR4-({84^@gUOTf_&J2F zfiQ>hk{a!3$cqjXpjt6U5aupfVG6iObO%oo=#0bAE@X~f4REL&tPD7W6k$oB8*n6H z2;7F>QF> zEEe#mL@7N!s9~%nj!&akL>9VH#!=-Ah(shq>Xh_7$HhTxQpbk#9vF3;#6l8#X1G^n zjz>_SDj`5_TCSj|0F+BqU!tOlCHSZ6G zv7BgpbLyy`k zop;(zoa@{zW2yhi6QmlOXFhqn6ivOne$VDRR-dLNrufw8#Gg6p`mH*+7H;*fv1PSk zQ8nBL*sS~R9n+X!>UA5k*a?+dKMiy|JXJX7wlxjpyzSbI@C+0GtLL2fYnhg|nfb@P$0^ks+Zt9qE7{#!rusQdq~pG?uK4?|N1-+g!V_<$2My0CP? zq%_pd&$CSgd@owJj6{Y0IeAAG&wHBa6LfXvhHb`Z$aOb)hfQpgNIG_r&Oe2yL2f8W z@4%`ulwN;v@g|nZsL#LCdExjX;+R!@t*`4($uhHh@eUxAUtD)$K#E$@j5Y3(tsKJVo;xy-x(}u}`e8Ku*jTAFhl7KO46&YS zxExHHKt;R2V>)pJ2(Sk!)))zlRg^>~dHp!3oq&MQZ+Z=9$R`>g)`1*k93}>L?G|?K z|98Zw&v2T4C}6c~og_y6>i?uKIIT-mj0(KeGBOSNB^$6IjUD6G`fBouwBDN)Y#P#g z^@V$n*>p5#$*9k=!At`^W1|ll+ZRsQ@}^#&^terbtXt1?+G*#G`I436`_8%Let_^p z88gEO9NQETkAX7D&dNxBw!?s!7pJy=IbAUnYI z$$6#)BO@YiCa%>JTs_s`htXnX=vty)erhq2W)h$fNbEZ?o4{$r>p3h(NK5E2ddIShejH|5(czG{|cb1U>^n05Rn>oLp6qDK8>=Wq-DP zhvk$PN3h~gVGr59{f@`;g8cD%UpOx5Z~TM&#^pC09!-9Da_M=B`_|uYINSh7JSekP z83G;@Eg?_!fgl`_9NwV@Ld@BhF}L#@~2v$*c(g@AYS_ z%l5Ax4f!OI;y0h_3soZ-6)8TZuM`utO&9MZu~{~_Q(XAXb9Vi8vSv?P&!(~6=PjGT z+ld?+K}{mZCADv#x`9mHyXT8GJ+$tCmvW!|{&}Z~7`IMi2l_(4dY!_Lp7xdv5$--1 zO&h}C+{SBHKcs3umxlIpsky>U@e7Bi%sP_ksiVjRBPQUK$c0BKVXNiYYO5R$Z;j{N zbXzCk`1^x2V&PT%x$TtGA{KtDqH~B(&{vFO?5YCQj`%<=Q3F;$Ut%X#bB%FWkfJC= z&%CZd9;l;hY@f1i*|Z^UcmQ+mAmcLu9Gqd{KRs&lB-Z*n2H~_WQP%3b4?Xm0ySmqF zHe@i?@J${YQ-{e+A6x>4XVCeT&s|9iqYkp zAF%eX`ttqzC&&G>O5Q)ON#4XpM`#Vtm`V0l>(4ldgX~C1{Kh+t7Z&uN&I`5h%+bYb z&+UM#@+O_ocT}pN8HE|XG#`)Hl0Z{9gkcUH9dr)0v&+OjMvy8tigBPN>X?hI|Z6r{7rKkqBgX~Q_NJldCb-Nvr*I}+1PCOkOhxe0pOW@ayy$HKngE1(B(v)Gs2gS`!B@B8L=lmBYIza? zeXv<&=Jlv8vd0K^5)`=TbTxr`=t!a+TE!TVodhQs*xwy7X^@YOqt0MOJb25fi%gBu zGFmp`;$UGElmmxSBh9I2&^WHI7w7^tH2Pse4iw>7Lkp>%eQHey*?Z79R_Xk}z)iB} zwXhYNXFg!{C(@rbtyz!MyKGi3W!n1I(Ex5f2TaIV@Bc-8n`(ojN3NTO_T6KfnC9pH z@7_tUj~q6k#!L0zR=)M;&Pf70G)Ij_r!5kbBj?Gftiwdd)8Dz1ey^R#kTm+9{JfR^ zzj99cf8@X%O%%~D*$miDpERb+G!@S^jq)^JYx?|s-?Ztal@Gj>PWd;^N#qhy{m*xF zn22@mmTic6@|6D&QK9S)G*gdnd&=hP)~VDv(t&sDzpXpuch5O_pRzxM^)FuC@PN%= z?$&ioCxuB%&;`0HIqDdUIA-o}yw0G&?riY74l6*`7=#SCq^MBCuoR7izKg3=Pafsg6mHchALA_n|jp(7plKYwhhS@~hL z%NqOBej1e2uArrhqn2(zXa6cb1O4iw#yP9?gr2iN@j75Hyk|r*2Js#Em<^@xURoyN z7)#5l;0YFe4v1XW^|nKRBBB+6ozmf z389Lw{)R5q83Z+1q5fM{&bO#aSruEEa7rXy(CpPibOSIC+C%}tzGH>uV6|ML6e%rp z4NL_SSEWG**q=bVLu?;Wi^zt>ThNCctGNR?s3Orbq@fy$ple*vvDC?+k%5QG){JAc zLyn66&~rzTL@#PsCio6X=9Qnn`{&;GKIoG858=Fo8+=$Dorx7_SFk$$N4wX`#VrSN z*1m)YE?Xz;jiV-SX9x#K+Ry)RFD&E^nZy9-g2p+ibbNmda?D z+)r@`d@4qg)d+V3=!%Lq4?q`f4sW=tQ*ivJ$!tCv|Eu_O8=uzP0p9QbG0hV86Z92> z5qJI(I9E!ZO$}_egP~soo&ooqkeZ}a_BoCPv+!@?HaOrMXhM~+M@SmXQN-d!?Nq7} z2!J(4`r_AB0M-Mmf9uIeQRd4pxm=v|d?QSRIfurc&*Y(t{Bo5jTI<`YZ1&U;$%xI% zdgQ)|w90qXnD72OwHG+Br9-Hm^y2XahDAfyj$bm_YzgY71G&~8|V`9F9{lcmy06$BP0?$&%{hR@YA6;e? zBk>To*?e|j>Z$ITDC?|oO! zd+hCZiH)#JZ1k_^Zkn6#vFv{nA&zd?QR45LDe<~>FWtsEG&0@i6`h9kEdE<3Q_W;1 zy@>?ZEX2lgFMVeLjSzv`4yX)G{oSWVhcc!ihr_bJGXUg&!Jl?8u{kC-cjP%r~4RV&YblOl(`y7*fn}B?RAtUx> zi|l*|urQ2{ej?gJ(lP}`!u|j=fdv>+lZOvNuC~%&?qz+9g3v1qW)a zZ!;?E)E-s!s0+g>16h=)Eb{c71gxeAcRkFj=b1yDYVCsb^v3caFVT=bU^=OVhfiw% zPuUFLP>QZZ(^fnZ?R6DrBMS;Ch5%6?MxZIpwncobQH{Z+l>|d}i?mep=?RLPrNQQl z$8<3eas1<^ubLRL0Oc(iAcc{tS)X zk7P}IlN&BuSK;<-B)gjtn<#w~BTinJxi2F9trf+ZFU+^!RQI6yQVY7S!HUn+nw4T# z58t=n`aAlPGYDbYw{r^ec(lRH!)zX_^u*>275?^DbdB30$lz5Y+~h;_%f=eHI$Xfw z`-P*GV%@KnYO>a8vgxdLaNP4P>qPwWQHM_2?LYl(o%Gs(=x+ZYA)jg7>hC*;9k9-d z^_L+a9uZs{{!6}XCBv_slMHr}phhQ6ald<`n}}??zN;m~ixH=#xxP2SE+qnoCSwSD z5}yVvtAntC05_nf6A^`!?K${QV3va)W35-!d=FaIsXhKpLg`22zjYsiQ!(XTW6>G( zu!<>hJH|&-p!%wf@P*^T^F;>%9wDG31c3y9X@I2mfDW5;mbUa^Q(@(Q!I&Q?f&S8u zebH>ay(WSFHjMEkj?g;)K$WAeYO|&2>j)48?gsE-Pc*hBwC6Q@D@BvV_ka*W9qB4$ z2z+d0c>yhrMePk#^RTef>*X#jyV}mEdKeL4(0LRhF^Ba%J$bMuo^+3wuuOmdXqj4V zW}iH!p~jQ0-_TdW)%AP$&i{4votxRPYCL;>yYcLJuFUqcUoGfMNE@AM+dOSPO{Dzd ziEr4@(ayH1^+scn*0b?wotO`a6KwO^#5}MSeHQ6{{$%7O%m+7-|5f5gqanb?Lf1cc zWp~$xtaqO(rq3H()OhXcQxrMzl4y39GhTIutyz;3Onrdx4BcC`qz`=dt#?PCdyA~J z(U+iA8h)lzd|*FH)E#)efTHb40UMejXwinn}zPldN2{sOrxq*Kje{N&Bnpf=C zm-?pg&{qsWvh&UNzwdn+wW<-VNCN(bsltB=p95S0Ck+i+kWvhK^%?T`PAhu^Tug;P z86ELMU5C`5REd+!tVZg*Tsy*HWVj%RN;cXh{R9Q;bP$4my{=`2wn*7&N8(U}kMd=; z`~=2;IELw6o;Izaw`sQL+ge{KhktrO@VzNy1DHQB$2o~3pzDvPnv3nR*7cjlZfJ)W zhW>nQ;Fh-!dJ80W9uMj;qJ2JrjAL=H(D;D)2fx@zm&VLan#Y94^opq<-as`zcvVZB>FY$g|^;L*_)=ZzTEpZ zgt?vECcE($Ph$+GKA!r9O|PuN&{K^^IPPLL`eOggEw7lmc6*ZgSC?Wkq*%=cJ0 zpy_)@H*CIO9GJ)Ua#cM0((U4zHf%d?Y8KUQT9?=SeA=qD;Ke?&XUnF6-t>gsTw7eE zAJbX8b~2l;=!Y;Bl79MVavroHKdK!hra>6j?(FtUag<*^=Kx;SIEr!NnTBF_*Je<5 z>)Un(eCC$J)b!a~AG7(sl}&%2Srk8<%G#>1y=Pq?f9;&){XQFMz%)?X+jkDow6qV= z^rkD;!Tb;B9L#CE{4=*mIHsZB`q-T$uxy-Dt>XXSoW%GLmCj59I$XG4*IV`meO$KA znrPZ z8(Q2f&Jg{W_=rstMD$}j_kY69_&O8Wx;7QBWaE|`5rh&f9==KsHzPcG90X+DS(zrO_Sj9Jw%EvJ&hkj+#12GkX6gU(*~wT34v4;uiTxd(Pgj zuJsQDJMJ>MWbN{wKWCTi&c5Tm+6g>1&!Bv)S_RiS&wA&tZg{|ELhn8cO;cc;g{D>d zA00Y#q49QVC3QSmYQ|V#A!Dm+B&A#Z zWBO7s5y^DXX7H9_jsNZ=2nEPaB$Fo?ZP1?n);W9XxND&rAHTZ$*}KMd^#LqV|HB2FPTsypw3UaaUORQO>f<{76`OwD&FM@l(2mn}ejc8&EP?ew zgzLfSL(qLRefI=pIg*;BGqH=unih88UYfO!`r1}_^5DOsW_YCH6IQ3aB0at^9Aesw z7Hr8lV~qxG*dJF?YwjF|4;`KgFYUB0qh>rT~TVpnXCuKP6g@36X_Yy z;4hAtzb?2?Mh{?D#N$vpP8m4=^sf;sr3K8$0AOt7>XkP6H2 zVlI~?$ViKH*3jh8A8K#L!>V_bluW@yk$1I4A)p8!+M|QW5{evZ@o5PukLT!*g#O?V z0(31I%#0^-wWI;!Z$+Qc2?A_?aYDsH$_t2`cX_WxYTDHId=Z=M(U+~}4-4nLve?m1 z&0zcNQIjVf9v8;pp>>HK9`>)O*|8cMirf3#Zz; z|CMtN>$C;w?)!)lRV)3CHFcMroxh|m`3 z_u1XE4&ztOIgHch^pnRDj%nD}@7+m&SInxHLpMzvU$zeWzdGlzUprAGGmZ1)S8RrV z``K#Z-cBM>$w0Y0K?F4Q?Ow0h^v`m@jsJC%3OP5vLJ#uaKIbfa@>qm5K6Z8eo=v|` zrt2$K+1T`*<2yEAu~6sgLsYKT_Uqx7b*X;)oJ4wd9|_(xu=~AdGwhRz8$W~EVCwi; zntRB2K20{EoeE>>ryy{h38FkH zP=8BPutm_O$TPAq99?h3NI<(*M${nGwOb%c@@Oep*P=zJJXN$W9W{B<>im?Uvua(U zI_sAoKtt1_eNZ#^Bh#s}H*-!h!Ga2d$!+VySO#}LYct@xH;ZWojm=`bcJ(9Z-6hfm zE}2VSi}JtJ!{tp`20u!Mfd`3Fr$1=~*5k>ebOR%R|CDrtPbQI{G@I@K^tGpsBaPKw zzhThq`aRI-CoqGz1r=xs2Cs&6zumX!D<+50KgrSpi&Xv~6KGiGs1-xC&Dj|qNzl5* zoCAyAg&uUT!Wz;r^vBXAjDe<_!`HY}pO{t=kgn!ATnH%2ECL}>Lf)AAeXy{>3K)k- z>7vzn)N0T>y5^=UQ4vUmKS0?F$c4bb73q? zZKs(p>3fXo5C6qEhw*XKE-($ja{12ge*oJ@>o@(kwZs48IXnE_=51=~vGw|$U4E$r z^uM2TAfEv2gPEt8#&YeJ&2a1_MQztTHK+jb#iPT2i$f3EP&e@5EZb}jPqP` z6RL3+$ZkV!JK`+1z+Q0xjd@8>3QT7qrTPU=a4(6}p*!CWCoXYpStB=|*`H~URm2&5 zTG|n)ed7X$ActcS(HWMrkeuG=iRBuR@~HrDI8sUN~FoVGgk$yXvpr|v?LUH44Pd3gmHKxsQrUtQ*zIe3O?bwaY zGne;TCZ?X>^F^B;o^`8-kA{De{PTl`{G*YE%0HjJY2};7fAcdoL%n@6OdQj+wM^eK zU$tr7O30TwC>!S_-vjLz{e9jdjtKLsGZR^i}ERuWE)s zawwzV92}`wA(npK)CD6{N`;4hEFnyk#?}xtgIRwq%vL~XL^O_!8gr0ZXopsS7(xg& z>9wSXd67F7nTrHjlh7PQ>CEsC6lF*i%9T3p9IzbF1|+m4Cu^b#EjfyHt&0+d)bIgN z$FySUPb`6-KVn^0HhzN6|8E~PaMGFQFwQ)!1N6-M!5deMsq42qbk~4x^|1ZrbB@HS zSQ~ueE_n36|Yk>te&sdqk_%D)fnt6dH3?6ZVyZvV$`|3+5yEk!z zNA_&ov=(oA!ZH{&-_J6X@y}kMpNC*=$!L&H+7F*|4A%Xwua5D5eHzIva`dU<=;b*F z@T%%2G9QZuy{_!;-bMVY2Xcn5opX5Cw!bk&zkk{knPLz%cA$#{2BqlAs-3gvx3dFn z2iuAC2177C^}z;&52L?V>hC+}@&k}|3?nZ7t<#T=czVteKRsEhGJ0`!kC$u)douaH z@g9qDI$5vY>o3_*;cmUa#KH}|zoP=vmCKgE~z47GAljzegT_8Kx@!D&z zIU3A_qznKwO@hh-m#*5t!N3}&avM~Rl?>M+TEe>yz|cWCfT7ZAd$lT#4vOIOoPLM) z0zFzyIawg_7CR&tz#opJ1R$UiONFY>=sh*O$x8>Zj-t#Q>*()jV}}7kv04s<`R+MV zFW{vnnH5Cw8IbG>D1&{D*j<+*e5SJ62@ICL-+bn%KXbGiKwg&Shqs?&y*!CN1CFJr zB4`4q?Tv=K;-1o1=CU9uPhJC#n&N1_X1?Zlf;K2__#CF-C(WmhuQ{5IOZ@L^M>n3D zUsIcEHEwIG)gX0Ex3t2IVuM5wFx8A6KU3iPOs;&$&Tt|ZT_Tu8Aqkak16`9?WuRFf( zdG3C8iT``+nd#sEKYQ;2AK7)(3HxnN`#rW5+lig_Shgj3r0H%w$Btur#^bdUzcMrS zD4vICsasO_w7TVf%t#(Y5|cneE(tgyY(AES7?!|q10iN%fraH;0~<)fxBCm>4OwCm z9^v^J2z>B^eE&MnI=4^vy{*1uJ7x^IqrUgNs!mm%I#qS*934*G>=rzX~Lx?S|<9%pEsu;qe&5SUMMXt7Ln=?rgB`sezI7U)Ko(#4$+1_ zX+V2%A`zlSWY|^B?j4;SR*Zdyjn1$U5xJzdGi=l|8<|y5Xl*|hu>>yPvV3d#Ygoq0 zXI+cM61PbGHGW|2{Li$6imP9=X6c%P%IBece)$HRlC_aW<*!g>_eys^weEtMU;3Ji1xlDc=m0$M8pR0i_SkuWXhx>Q@2ow#{-5zh-ZOf%5R-bao7B zGR7bY&7Vh+Ba;@1)ZxRKv2;d!lYgi$PaO1pI(&FEGd7)>&Ss{jXVUC%YMcE;x(!q8 z=+V^S+*n5aSG+xwNso_>Pfko{CMG6}quFVE?^u_HY?}%CHy^Z;Nc?y4&r|B_64}9+y9hAmVzBo*O!M24WREH+6q1_D5TY%yyQU!il(laS` zE0j3n2I-6 z^W>#o%~z{JO`}y-58{LjqIKJ+Ru#PB_#d5MU75#-(3l1djzR;R9wl<6lT1P#I&_*Y zx4>$HIRrc-xsuFqj!)VP+;*%N$zlOTt6Ehad6oT#W@{|HpS_1#S}o-31q?xH&Q>24 z`vE<6^I0A)=E?Sa+0qdhfMC1^xj+d6P;8g#c?34#RvPFjblY*dfK0%2c-pGgvM+0a zcW#+60@uBh1~mL-LvtR(m1_`=d)D=@LQT3H#hH_MQC(iV=i^2k>mdmn{rDCLo9)N9 zRNaFX-_Bf*lUYOe^v_ak@JY1RGc0;31;qC%`rSHrGhh;EtRGnJQ8Tk;Im1BdzpZ{C zxh(bl}J7F zdJU`Ah#AMQ`g&ZBgfPW#Tw>n%$FUh+@wC}Rp*^g`V;4gy&!8G3|pvkI7tM3O^%gWTHqX~uRO zbT8)tXZcBUA^7=%@-#f^m!XJ2e;z3R&t4!~emgeLornTS%oLR~7}!hSfRV#2WlIZG zhsg-?_QnXVv2aC|^o+rZxv&L6hp{t&Nhq|1v0o2c&%KTGdaZ?BCwv}7grDhnbP}8* zynuv8TI!%+eQZl10uWS%?IT5j!BCAo9d0IZ5>?Tj82i8tE98!$ z9ilh^hdr^`FN3I3g_^vI2-k+u`+5rzU9@plO1&053*tDKPWMG6%^q9r&B>pGK21H0 z8hr z3e}7y5D!^_sCyOyF&#Cv46^959=Lp3haQ0zxG1wP5ej01O{l@1A!4fep8n~X0hB~* z{Xnx<+0*)AEe1{^&GiG1x)ErMjmf<7v>PpL8H@R(ZSX+^n3AZ4#S((320SiQS_OG@ zntYemFebC+?Np@^#99?8?P@7#{B&}d3r!j7T5P6UtB`mhE+T1Lper|(kP}J4Q!2@x zSYs(q-MxJejNveW#(@2?d)$q=Pl|ZT>`Mee44Q-*>=_~^MK09SWt9c<%F}K%ogTGI zfu&PhEqFcj{NkwC#E3)l{0KISN)g4>UI#iG7J7S9yFEa~?oZ?p#s{RnMAM_f; zn}7!wDu|b;rz^GEaUHq=NIHQ-pqTT!tx-4x^vM{RU7;;n2ad_o zx@vE@ABx*FlLGPUfTB)>u;D0nTXRpmBh+Lpjc?K7SPw~Pe3y|%ZE?iF41b9P#zc0S z2uJqDkcrqFJ)0N^R#J7^_AtnaS0!~hmq^UM3p=0CJrcN&!MOt>wKjJuvoo`izBMiW z%9_7&8@Hy96lyrBs{a)QR!6fNxYrqfXHB*2PF*d#(_1aO(^kuwYB^Ia=dYI2)!cFD z@#ufuuX1qJQQHswtp`YddxuCL>>#V77CQRdR__2I6;jomJ2%Gktt)3HLz37lJQ*&( z{ty_a+qxLz)|&cFL;B7L%Z6;(+yU1%nH^|h*9Y^Ec^Q%)%Ozb|Yj38BQ`C&V{L{qr z1LdFUMdXNO>6r&SBX$Hw5Wb(ipIclKY0H2u#OyEiKW)#}JV;>E_LuTzTIc8=9ZAIc zjLB?IFYBx}W<{>T5WP~&tAGVcJ;WU@?sYhiZyY-q!t=3%ZgJ=HgBx>{&HDiaPP)yC z4?51HRfU;JQCet>`ra|LVm3(^NU+&*so#LqJ|7~rE^B_=GirYjYBJWE|J;Yo-02~S zHUHLlv%`RkTO$&9qY+fKvd-SP#QQf%f_!<1z8Gw6pCW;H#HBX(SMS8BF_Cn$E;`S> zw+FRc2eovfpbHg0F*KT2k?6aEBaE0(BcT0*3&KE>Alwwm`3$%ig(JaERgECg0P|Na zsKZHu>O1JVJmjk+NV#~|Hs-8u(BIc27W*0Nq8QD0mK_K^rX0^-05clxnTS867S{Q!NE)04| zr+;D4J!y(_f$!mz@X;heZj=6o4}-Q(ku&H>@czkEi;1M0H6RKlaWzSFnpME`5tvtz z=xdk%%IVeq!89*G_~s-*h#~7u??H^hkzl8+NYOLSUzyGXs2@%eRNul7X4B|}fk_kZ z!tjOr>2MNaxE-b5v5^_nNEdAhMMcS!@Qw2}kX1O8W3q zICjmpBu;2!Kxv$0Lw2?k2#P*PUgKJIR5)H#*W%)zdI8%8@@rG7kOf4bQ|xk$-jX*Q z8>J68hsdCdF2h8mBx5d4r`2=w5@LU1Gb^gGWA12C#& zB-j_}I~FwU+ZQh7e>zD3-_VVm7wMFM9wH_;~1KS&b1>x6HFoC#qzV6b&56bYD} zBqgHl3wPH3CP}a!O`3JhScAly_Mk9Ylrny_qSQ4xy-DAdn!z&ZSQ9JKwmp5@2A}_VW2mrTGb7V2_d;4Lu{>W~uTick03~zLlO!j( zZME_3?Zp|{`@Ukbt^*j{ZRHB*bJ3j^P~vYF2RlNQV+r3EzGR@*ohz3NEj<=2(^YVp zp??K%`>>;FjCE^~ZL0;hG56$XZBa+cj$&aQb-b;4?QwCckUvQX9yo#99JFm2)2$;l zjwAT8eQSC6dyDCZg-KXXNcgouSor~(mx1#A5hO|xa(5#n@N*XrYa8`mQH9aqF@$}= zqN&{PJ86Mz;IzKHmvFIG!2x{I4F<=RDuSz^Rap~KtjvpEHAuihTEwmK`e6hew+0Y# zFhr*=k#93&*O+B*3{nNt9}P7Wi{L+R(W?g{2>#kmm|{S7E)xk>pNiFLVxU?k)11SO z^$M2*!w?am$5$CV;y5am7JV09y6#HcSWg$$r!w#+(M|W_5AnuvyJ@dm;?26`@@@dr zr~l~1oWq-KK>~Hs;ltVv2~w^2XTrC$XYa~lSMi{TB|sj-6-r24L-_m2dI@3sB*VHf ztoBC{&tBW9Z%)7+%YcA4Lp0{{rCIUs%4x>ruUu4rZ>XtQocYq*4RZBR1ZSQvL^y*& zy@)+z;5a;FdgTuJ$CDiLEwQH5jv$CxArj<1#mp}ziG*{BIt`Ko@zVo9v_N8n(Mcc` z;t3>flEo5PDHKmB;YDE*{A)(Mz+U^*ykx+QokmQ(Je?WLiM8(cF*AJ%uXEmI_{*Y^ zDHrDpccSJL^~;Q+{8vO91LeQyg+#=9vi*lW{kr>!(0by|OpJBKSx)RkCEct+hM1Cn z>VHah{4Wn`*pxhGEFd+V7B{rI;J)j$JmFPo)Y3zw>>_LJNlG(IhaAN5{rMvF!eL=5 z(zBacNIfD2E*;RlMuES~_YY6Jc$n1J#_?J`9=!30(^u z^~u$HZW!U)g*KIB5ErW9lnMF1ki9|g3)1SW-I}~_O^}7~A+gd-c3;e2LkJ9o<~F1% z*lskvrPwPM1=&zju~dcq_Zgt|P=u;*sn(XnEpiNi&<76)(aR9))XGnnJXd_=$(I#F zvF$=lkS9pg=*#wR(x2&l2ZDW>dv)jUE&Y@5{Bbjz7O_kUenJwj-WZM>;*~aYajzHh zt_U?zB`6U4e^e9SPL5d(au_&y`qzal&Xz_ zzz`OOtbUYkTo~=4t1CML?DD0hsv`P=;82|}2*fT`zc*V_e zXw1++5UaRnJkb)55s76?TP?Uu8J9*Shq03w`ir8b_QMy}$`!}vHh7@e6mj=BQAB&< zhh;P-cFH*UDKa$R;HT!4c!drA%HKo$Gf@6Wgdo%Qxo3XHaL$KC6(*^krv0@Y6pO;j;6Q9@(-@lcnsgx$OCl<6T0VK>?vhRsNV9xHlK zWx1%68IBE_=*(w^`xZytXr~}2=Ew~NF^UMML5ga1fAe3e3V%gmPIkNXY8j51CqXg4 zDwwo0ox}(mfA$X@mT%Ls_t3VhWq8#F9G9AOF_>Ur#i$O?Q;ag0np6*?fse#*i}7wR zwLp!(6XGJ5aWCUj95*=l#ZZ%-5zg|JJ$K>ldh?=(BpCA|gBCNFfqmxzAex<6SDn~t zIbn9{z%bSW`to&X&?s2qpZjNt=f}*%{KlE5xX{he&OYc~oV}0>b!>zXds7 ze4lIUaQW$e&QDuMfYxu4YR;vJt3x2f;@=k@H&mceAo%wiPWN1~sW|<8MNTk}lv7#_ zf8`?jwj>el3!c+6p?68qvXM=rmzm!I9w5!LicL0x?S69z+yH0{IY|76< z+iC2t#hGcjzpf*!Eni=!gT=^=B6(G$j;q_nac3_BVKmZPJm@`&!5Z6;7261`PQCj0B z*?l_HWGtS0@dpeJ^^oEzt-5r4!OXg{)8%r<7vgb;dwfwTA)EokiIp}6!lqF<;~1|P zo$OR@!(lhkMh6Dl!uFH%;A7yhWGO z0;9{&;~v%eg(Qc5_D(xV ztF z9Sn72GR(q&3rbQQBS;9&b)*ZRXz-mWbt0z|R7YSD;bew^Scl==eWKN}W6*a~5S@P# z5*9w6oTtnsd~(^4-1naLUHLY^(PYU&n?X8#cG=t_r^$k5e;n(i8T(i$LnDsR+7b;F>aGF=1;m1bw zfL}7OZaS6l^x6e!an+7&l1SSTEzlUCaY{!59dUl;z9hl(sV172wK^4>5H8X(ongej zi-gT4$mn|wgDuuJQ(1mDP2)iM8T`}D+@k{$a!Y2ldWWcDRkh#&l?RfN zG~%ApC7f|~6_c>ti|jd+nH9Gri8PnW3S{?lS9w}wY~lS3V7?LH7z{~AA5%%lY!3V1-b)ZfYV&jvv=>T~`7TEf1{@MbBNy~we@#xU@7Fgsa? z=xYorLmk3=`@CSz&Qus95Mj>;99C}&M5rKbGOV%Wr%{>d*KPWIVVFZ`cyrkm0hAhN zs7v&Mvu{G-Vd?@KD`VohEoQGwOvJ7N{&^w9$FAsb^vt+ckk5pg>^vzfSYiK98szIC z3DIyvSL`vMBMP1#P`{8Qs27>JH>4fdcOC$uWgWw6Ct24>_2Ajzo5m+x4^eyxWhK%p z(zijbkQ@KdzucJreM7ny$xKc7O_|n28FY~SS>7Y*%83&&kPT`piH&j6Dp*)dh-2cU zq7_R^McmD?(5%%>=4_vl#iNR(gtU?k$XqOBudb^7UfW4a72wgH73Fmu;A70$u?VR8 z!u#Fbsw;t<#6W~3t;V;1a3}VPP_wb5Q2pFdZJg7?5>n{;&NIWH>{cog&@GADo09}m zCR>OgDh6)6@{xd_7WH&0NyM~;%4^zSd)+tp$xMcLgMM4`AUt}ZV1#dFnCm8Z`&JhU z;#xEl~9+l zWc;&lGc%`$EM)vPi&xW2z+QSljOHuWnI#jKufp51FlrpuiM4a&EyPgEJn5Es3!Z(Y zdKHdmKX%aa@@ot#LlHuLyr+Np@!XoBLQ5D-er##8NdW_~H=8JIHXIaFN5@-Y?;H(2 z;#UFxd{>BHT@m4EKyl6X|1s2LED`Yh_Zj5tAtk-p)a_~&ApuZ7nIx!oV`-<-zVpmg zw5(%TwIuDzI{$``OB=CIkx@?k_2celGg1s131ubHE7G??u8Rk1yM@Nt7NnJyCEKO+0xll5|Xr9(*D7n*gpz28%qj(?k~+$ z>R~0f+0-p2D1W}1B#`koj|R&@yz-D+-2so%Fa5#gToRFhvP!dH>uvwewP5r$`)!-e zFhE$Q``sd1wD#MQ2jS5R1tWYb!`y|!zZDG6gNirjuZe3NjafvVA%Vb3ey$X~+2l=i zSc;;1Fz6N3aVw~!&&}qGSC474ltq{o`m>*b19@cRL1a#-Hz~gYUFbJ5a);h0sxZ>TD)B+J!6(H99}ig5&l?se!!7=BB!ZJUMIC&Qu1j4OUY}mWt_B z>{uyi{izmZU8^lNVPn+g2CL~ezZoUQ()VK%T)~MpWQNXHmWuQBe0m;D77z*7T&^Jq ztWv^ld)_!W7(VOi{iOo>su!0K)7C)98rdl+M@2EO!rQ#2R58cS2AiFPYao`cB8HB| zuU4mvKV9XSxM};PI}L&AL5ihpFb)k`X&S^U522%biLt!JJ+AP!UZB?3r*r~*8_~!- za=cayHJT8P5b7zA$lQ~PbGpP1$26VSlkzidQMWu#H|8#-+K$1Wme;K7R!_v#zZ6w-58l!9Tva%(rm^)1$O>&x^ zvFCwbu@%dJ7rYuq(GMCMfcWnk?j-`82}yV1!;SL9syTlx-LZxTvL7^jWOp z9#Xe0QMXiu27;tpB442lsjQ}ICxQ04(6**ri&R}y#x6R& z&ogwTw0}aR955#p>8;LxP2*Xp(Y40;>Vk2{2c6Wrbd zPMMJCsT%0vXG0w4TWvjM?(KUP*_ab(tY=7AX#2f=(-ViK|Hk@(WnUtc&EQF>!G2&m zcv|?(O6Jqkz6auHS^HJHU$C;)Rtv@#WsLBsjS;4s3FP*66nGki%*1^KGDLV(gb1?) zX_KmYk0Hiwfz3AfH%?&l^$!_m_ zESSyL--{~NG7vQO6oD<|tc6gnAqS%r!j$2qvCtCxWLmf6-kHSpL-__W-SS;DYMvyU z0%Uh%S>%Cai5#{3M;iopeja^D(GL0giu7%t+MlF)>HDlA?413o1>g z#QOq_GO5K@b%Dy804;4~5jzI*?%f)1;7lsUtpRGiI)rC;PZp&f`|Yl6%C?zZv4guI z)MZyYh2F7WU}skkS(qv=;q$>z;J)_&>eD22%i27FGJE=;Vm7KITI(4Wrb}GcncB=8 z1ziex`nKY~Q{+CIIudlg$o&tdjx5&m3#X3Ylw`A%uN=#z_qqpu=8Mhz#_)zI;hY!6 z9UJ%xvQyPPA2-r>$u4pmr>bqiIj;TKIv-zk<1(`(IOzd!Qn#fhMnKf|Z*x|mHmP|+ zM2R9PQMF0=z-0O|7>u#mI4Q5$Ll&e;1qNSQNgg00E>0vXSvo}Tyy7pP)|5!%POntr zAav>JqOzre{a&f=4W7$SlC&Bq&-Nm;M2i0%pX`p=w;pUq*lLCLolJv()^@s~LVL^YwzfT1Wc z84p~9CPMZD(F~6qH;RbQ20(p=7`jwVnNx7|*>mxNIto`Pp1=(Y;yfZzXnm=*LM9N{ zTZI{9U0%mP^zI>dWn5XwFDz5CMB}WY6MHy!Xsr1nA*lKzJO)t`t@Q)VyI&PNV5C{_>KKm)qtUwIp09Z%sI3-Uzkc9$Z9RLlnUk4f~BF=6swSHlnx0!Lacn% zj$B&wU``h&sgznuN72Q~Czq2nu7gH8kcw2Du$Hu~BPuq*t|Q<2DnShsa<7^pfv-Om zV=eQPc^}Q;t7D=KPX(`{L3uE1MPH}g^g)-&+cs?PJi$m*q70XDty>o=ENI`n`E960Y!v%NmArQYbu@yV*(T70wQR@5W(n zO6Wb z7++Wr>rKyiTZBwx4PzkAFgt3(=vZOTCi)8nfyF%qbG)A;`JqXKS z5=|NS%PW$oj`vJd&%WS+*d?mB8KMG2VS#*9`B7pM(XpJp4e2zrY)~RdV!eNoc<#?U z2x260o3gLkE5|&hS!R=uUEV-ae!raD_w_uv&tH+@769LZ{kkL zZDf&4vXN}FXHaAnCP!-liVTqocKh!B+3kgC56N0~oBilHbV!E6Bkvd)(XkQa+`zsy zy9--Y;S7U4h=N#{wZWv-8ENEKRx8Dkv=PrFzOA8fERFaI#LvJ%K}IKXtwEkECWnk) zXu-Uv4pOe=7i5lSG*)R9$I_`oRG4Bk#f7ONND~8s8x%GuII=5nZ{RRWgCaE>&C&u4 zRU)brcP^Q$UK;X{C0wFt9ribXHG~Cu7^iE5^A)R!awF=znD`T+B?UGd*!cHkFj4d};D#Nnvl(dBD=46EGdwaU4XR69UBv`-o?vbgWMJ=+DPO5?mbpktcr67bL9}NcGEbSD-%+ zlz%MLMpyHLIM(yIV}_;l0EF$~GM9ZUFJrd|dKcCr!C0G6S9MJt3*%ZN&IRk~v5UXW z$c0>Zp_ei19e$@_-=vALBa1UgVifiP_kRzbb=L5^Hs#b@ASH%|PyaL^2Ko(J`i-6- z{RMQhJo1)KkRCKFC9Fi2F#C~F3^}K#eGfi;&dxAFq0D_rNKXb|GVS#Y4|8;0=1K@Q zw(u8EFD{E+sFnduhUT}SL&0kQ+!FzQ3EE#50=%+q$zc$9KKg)o5?vTpy2`U+X@IVg z-(Gy@NBDZiI`mf_C|~v#X^YaLsk1~ZKYs36X9W{mSs^zm%jMgFz!i76whO4~J7y{*Q9~SJ`FVd=@9yd;Ek#0x=h&9EE4V2%W*ocSX zs-J8q@$2{?hvy}{U$bklncFLap}6`kA6e`=o{?>7ojcLXOhl=azAHj4ZXQ`4d89QT z?H*xjoOO@bYQY5Z3Fz37a10B?*QnSO$-UI5-kUVoc^F=wwx-yJ=q;Dh58J~dsQw$_ zcDv~)Env%cfQM{YNSuI|oA$b$h>fG#@ICCDiiuIu$b$0s(DV(IKZ1X{S?P5s%Zu+Z zTbK`vD$FAA1}w^m0pZwa=8q!=MC{2MCYI&tVx6u>!ePcL_T?14Oh4!>WplaJptBny zNClym^YC^fo|#O&m0Cks4scEm=QXfVL?~u)p+u=EgyCOAnA7I5URh7!iR2ZsTXBOj zZPjZlD=16nZctm=4cNS?$msd?6eA9du+bF55n$O_Ri(949h+c52aVdOvECfA{ogSAb42JYRC9o5xHa{Gjo{(6GWz7{@gY%eL~#^xzA` zNt(t}^`^NyxXoTp4sYFF+edV{v0)76Unhe#Qz`b%zblrN&RfSAXJ=mexU)!w{l&8v znuW?rbiK|~;D)d^o8;|k^%~Sjk2CM7Be2sR9?kB|9@W<3{E1o#sgn?XUv0L;^2L|8 zX03*sdHAYzsFKteCtibmg~FZ__v`!b|y@+ODHqWIiEKKsDTuQ-rdTK(>pCN zWcSgC2kE|LUXNMZaZu*YK4_7Ry{~3GqjyQhiThgf$9>_oJHeN~)zy3Yn&7sLokb0xCq&GUT;$EpOn8-R*z46>3r)BaANX#-lHMzW`4{IAm zz*@I6YpVq}*^N80mbeBRsT4754J+JcoiT+&rWtGIh+~==+sh6c-LLXSh`#PCB2{X2 z*Znd(Rr+DaPSa~OGj-)}qWKyqe`5p>X`@ZJ|~k_ ztwrgkbPiAi4=mN{u*SeBBhrVCj6A9@(uQvznM@DB{D`Dl+Q%P0sWdW@fNc8J zC+zg=F$-SpXsg$yG{Z8;t_V-5hN=C7g{J)*;P_ZlaD@FNZKL1ysc^mz2Y?pHau>Zt99{?-Gezr91G4|b3UJu}0kzissn5K~9~D`|C{pFg#KW8>JVDz5)tf%|54 zgYL*8Ck(CFaJv*r;(o+kCh6uNlA1$LKxR%6cQ4aY%IuvgohKzv5od=}bOx9X1`i@c zbiSxhZzCh8IWIPrIs_*YY+pQ*+pj2K%;wBLrN&f!>I)p1+Hk%Az)I0Ty?}WB^N=ic z#q$V1ZG`K?x}Zs~g}qd9C;#t4L+QG>Yq7rnyUlcKP{jKF#)w&C$cQW&g{JZc2O#g& zxx!W3vRJGxd`PYZTA%0(s-d`)W(N_(uj7H!XCc#g))1l0MVhc#zxJJ{U5CuNp3B^k zB>t}L#C2@koy&OO=#C#|_IgW#Y;D*kNU~KAbkRx=W4{hcPY^_CJWgJ;wT-z9={M{e z1-uf*EcaE;XhB-*XsdNftpCMo;ncj`>TX!0)2nMxW?2rm3zI5zhyKPgby(OdI z>c4V3OFj*m6v5JlqXSwW;mg;dL76-Z}E*+_aY#J%ac&i(2X95G+u_o^7L1>%-_!(uzgSk z!(UP@deG`ynk`IhX}(Yq5*wCz3M-3pBz+W{#5n z3Bj>kUpWQ33VUehGEOuUYGjY5d##caoj4}H9y=8(@KIRcx(yX;qN`gw!1q-4=ho5Z>t0FES`Pv_Y6#17Z#ZC^mhGCGugEO#_fEMn0hgcEuhR>&q14y zC%m;z-qEM& zZ8m%ye?SvgO0vZsSGe4niwO-HMp;mj8uxq=E83_o6BZL(22-@{G_`c-F%T zPg@9?PvMD*8H-kG!jWO5DTSAph{ZEb6IT2iF85Sx(;$RilXcaBIQ4oTaa-5%M%*Tt zFyhGJwp9{rDdy5q1*}R#l-s7Twl!mi9B!uT@BUO2&%nH*Ck|q~6+<#BZhsxMlq|vP zS3=G(A#HoY?0<#{^`_B7duNysJ5eP0oAdH+PfTbQT49jb_Hf^d!3#g^S$3^?B0ypz zqY#*rvm!!My6;C-#6WwdcwW_bS z?^eVhwtOp)3Jqp30=GI6^K<{pAn+zp#cEZv_p4J$kF;?1-Qob5l2(D86Nsra>5*i* zCcM-)gqpO_B63+Iat|l1GG|#4-YFAw;gS$sE?PoPD3N4K+%{jR(e-O0<&eCTB$QbT zH=?HLq|jomQmLJ!=#2)h#G#wpb=WHs6^Y>??Gpxm0;!@Fj`JK(xQ}%KktE_^FeR~8 zxvweew19AvsyNX*m{snMsyw-bv%pC8kA~q1(ar(Hk4T-Z?$Z5LPryIvIFrv$PK=Zka?3^=q(VJ=3aiGFUx))zGuyOX=QXf!+ z=1USeDy=woy~r4KC~( zgA2j1&-H?VD28owaM}4{lzBO+3~aSvsA&5X4XRmc45;>v3+m4#3F<|9VPm7W?;?lo zM2;WwAA`he7l6+u27uKEJB5ienM_(xTYTyfO2LR=Q<1(IN42zmLg_q3GDNZH=o{bV z#bvlu<|N%>CZkLt-0Avu)Knp%;%<4gS2FtD>FvZIxBMbOI8gq>UhpeyT)%6T0gENa z#ua?h@#r1GU7Bqv{MSS<*_wzSTbtt{V~8O_;IoP$LWmGDk9SDQzb@KX7j3LNZLFI% z#9y8^{Dy(A$B~;U6|(KGFrR&zSzr9Bvl$4p!E6~D0x9n))~Hp-?UO{#RV0F^LyAcB zQIij12cs6}22sXr45WsPdu5n=lWv638EZnyvEFP94dc)w<=@3-Kyji9m=gJ8%|=A* z5$K*nnQVuYc%jobaC0~Qmiamn>&?5T+ii-?1$D@h#x4e7E?lPEu&ZO#=+K%T28C*g zo{^*%_tDC0!Q1bx^MpphJ6&rn$s6Od+QwMRUMW8>V4(4dD(5C;Dm z5(c3aRxdKSwq+-0yA)J-;Un%&rRx?$udpxOFs{Sq^gzTeV|zQ{*zN+~R}UyY9a8tA z_YE$%&TtVfTv@H*+Iko%NgtxK?5i+F=9h|%l)T5A4yVD^ zid{l=HC2W7oXuoXYxoz~u45}vTN$g?>MQxmPy@H0-&Gw>t>T1RbI3BraB3aJCvG1f zS-U-ErS;+A)FIi2w2lr9t?f+H+r9EFNNVVi?rN`DI9@vd8F~>q%*Q~J-8AXtTb6Gv ze+^SxKI>YPM3$w$#t%@}4;o_DBF|NS%IBece)$Gu-L&Z)%3q<%BX2oppHYH7s@iGI zm($mU39WpKc~u_5pGP;#JLQ|9@)-U=&iQ7&m|xi}XVk9(u2S7B=jhkb%vd%vy*rc5 zP0nP;bGfPUTsAc^Ha?NbOlQZZvlF|ga+8y(!-vz^vCKqv_joQdo=%UCWoEKdliAF~ z(Ny{{`w8+K%g&6?j8EorM~|j9TN|6@N%ZsH#(cg!g+I#E^q8TC8RQ-K^}h0*c)pjF zUp`;*(empkwf=QL(d+R)hN|EafPp>q9PYBOHaFjTHX(ixt+=@RZw7ZE+&_S#ZMc6U z)gLHpgf9>2iE{-*`Qq@z1=|*imC9UmeYLn5oVQRb6h#{FFH1tulET+saJ`k#%I!3& zQo-<)uB?|_>&1!VYudioI>ka6KzyGJbCmy_a63@`GyKzyKeTUYd&N-n zAB!r?w{#9JYdHwj3x{`42tlZT6K7z=MH436b-UC0ZN%AW+(=zKk+1TrYUIIagDP#nLQ-4Wr{abd+Da?H+&#YWv}zc!NRfL0 zBNj%oS{1d~<+8(ei+f)Zw7_(mWZDC*|AP`IdZ*~qbUkJ6PlhZRL`k*SGfY|{0`h%{ za0vq{p$7Yb35T7M;8_M#QZ4oa)sKALh!BRjucJYG=EmLJv-5$S=hb#?)#68(%qIC_6JHLS5d~Xpz=IH1g$ltT9108wQV^uQxx9tF z)$F%Jo#?WIx>+8zbu-f1tLu{fE3{*i8#l9Ki?KhunO1nM&a8!ObSvbMg9ph5oYAyapK#QeENJs=4Z+M%AZM-{YYk9>wO`y$sfgqb{H8c{D6 zpS@Uoy6xpU+B)trtCm&}-F2(0tz*ZB%+ByG)lTxZjwdrPTg=SBrZGJ;Gch?mF*!An z%8pHEW~MSz(-YG$bxciVcf;6`#ePuzml>Oy%FJZOv*Tpyu)kmr(M4WKLkC0LA%nOO z;=36-G`4+)2{O3!YUt3*wr$Vu@qrQJ`x@MK$V|y?6=&%ULKnf9oVOoOwxv{>2ThMR;%UJsURvmTfw0GWVS}Z+{brfD< z6jj}0JBrkxC9#uLgG0zEMRlZCYmHK~WN(Mn9odcQp8jEC8gCM&3aBHR4e-7?k_BnY-2AM%EH}$0;Jq z7K()y*@Y;t3<3(sfgnP&tH`Sbn#b-|Sd-{#S_)JsEs{ZoZpHPblfJHF(`=f%6au{8 z6Q)M%G&*05PP>ZKFN<#d8J6@=8?J~8?+Lo3QM_ z$caC|T10QmM#}J|SDLXmkw66~B`)^L$@K?|`{3O)|G$qoVw1Py0 zTdNm}xc3Lw*)?%-13fth$swu~x9vznSk`{b^6Jo2i4Yjb~rV=T0o)I!q|QJ zX8wL$PhT9uTWLqYH!>F(SHqlA>h4P8i#W42q>Hwf(w^(tGnhuq!0E-bVLGwRyy~&; z!nWf!^9ody#!;=}xniR0Hgo?)6FRQ&Qq@l4+sxU$Fg+eVJenDs$V}xjnW?GtXl@J+ z_NmF~$w}ca$38SWF*!4p#WDBH*!cAH_;fA@TM^yIg)Qpt$?=)#bb54rY-)01A~!xM zz3iE>-1zv+)bu3wo!PN$E;E6Rto}4HH9eJ?+$}y$PK@uy|4oSov16T_*_|Dq*-Z^* zr^YiAGgD$OixFn0vy-{W9BN@0yR*Ber*_Y%5l&~b6S?dZMwlDhJvo`pPVdgCPvg6D zS#*IRqJ{Cy)NTw?eVWWnO-_!FPf@M$Y-VzLcQ%dfvEC`8hWRs_%A_@tvIa#nDS;D- zAB&w-F0D}`;1GzJNFfwKVP!_+WHOVQptk}c7)N$Yq9Zj)y$M`Q7)68FXU;wyL@Xw^s2cZeTiykECDd0RaCgHYFcZ8V2D8zqMYxiUhGc6&Of75v7_g5}< zf-%W$hDkz9*3G1#Im?;=+%>aTlY(AEZF@}NBHg99MoXd8lUCrotI(Q5OA(fe>T!1P zvruX*v>FXWri;Cj+{7zIYU_;{!B&2V&^1tgixE+B_wC{?yjLNWVSbm9OBz~!i*SI* zJhQ;*5D{8WN7W5Fd98~$CAD@bR$fyw6e(i0**LoQ)LuIf6)D1XZyg&D#=PF(ZMC{Z zaZ#dp0sq9&)$30f#D0UQvL$B{Wv071y;ok(E443ge4bA+OQn$1RpCQlyn|@E_2D~G z+bA)77Me|FYBQsDeQ@09pBqd899D8$VIIX8pF zj+3U0I}VnY>ZJmWwg4S?wFa1ETn<@rC@M(Gy4w(+q>j0ZEx|;JkilX`8wfWgZCkn^ z$6D1AhPg77*_qDnOg{oRwHqy}+|y`R_Q|LkF``1B56>v#Qfb{!b=aC)j>KH>S#%?Z6p^2LTi7o?&>)z-Ji#HOTNr zvk<$|lM!k~$6aZY)DjW0vxQyhGaE)pc}lgD{I2wWY&+{LvG-y-F!7rnv;&m?VMnF@ z!yZTdM;lK0ANEt~KkSgwN3esVZ491xm|e}*|4P$V$TT=TgYB*OIg`yzqib|BJvoDo ztoUm>J0&(`ndzCy2{{Dp3bX33sR^o^#=g-uXq%at$mj-V#BP@uR{n*(GHti1y9{>y)F2HLzvW8{ zlo<_gW_n5?1jYoh_eC?hlj+<9!IZ{Emo;c`V}Y76qnRnbr`fCc{ z(Fmzk{1y)wLI|-`B?BkF{40mE4f3yv%#0k(^i+0I6U#K&Td2XAi3uV>+SJ`lX*qb6#6N*V!(BGueZ&tx_A&5SFunT8=lOp5vh%QT8?lE zRvtAP7;SVp*mGpvnW+hy;FPo-$$iyJs|~WXFXaDwUN(Qo|NAMa{sb zq#6XH$jVa)yHMQ$3##cXY*n)3+>GR9RZop8qdX)n6E$`U}l!QJ8=f)I!h_@|2-KMml!R&169w z>B-6n^l0(NIYE=Kr9IdOHPK|uY};v)_|<}M+Om@20R+ex;@0krY$cT zCgRj@$=1@FB@{8kTG&};W?X34$I|_jA=oKHX^KR&n46li(m=B@7}oHgWgJWKmQ)3e zk^PW~6CsL(9Kc^N`w|1wUy}0#PY9Nwza*{GUlW2zwP>5p0Pmt2CP48%8c?GGODT2+ zH)Iu4O#oIo3@|K6SqnAWz%(qpigjSqRNMxGE~s6MU|Kg%LR!9?naZKjl&a>8Ks5lH zW<~)xK9QBxCMTx!Uz59a-RW^LDg}%Kf*QdjZ$K@{laMs3(dmgS*cKxN0TcKsEkqa& zGziWJYy)b2nB0v3F9{%yy+MX(;WfpOsBwT17!b?|cmtDK0s}qNl#)7f76`Eti8OGD z0}BFul_Q|Pa-sqH3oJyVdd1GuF%|XwMn!e)n&oabVXfC%8*YC#VKU~q`u4JohWRXP z!Xhh(aKfu3J#<`5Z}%y-i=u+XSuQdZFP7@K8k+L+kOdRb+WN=|n=t%Ng9+LFpG zMO4o@N(EOxeEwvtfcY7wqtp<5qZGcjSZazRzM?0cgpeHj*kCuvq(gCLmGx?ErG$Vt zGV#!T)<~FA9b_k>?(P#R=J4;kDHyqb%*;UN5Hn91oP|jOw+xu1TI?Anz0;!*vwo+V z!P9?R9!Q+CC|z%I{MFFBx=bE&Ug*Oo&;Fpj&^mr}N1JSOddiPn7>$2pqYUp!eyxVQ>o-)r>^2!LIXLha5|?HJukRWnWHYu_gP z&I9--j#Kox&lqWam8imWrxvsfl4knGNzz%E;-n}C%8NQrs)LBhi$tb!qtj4DZ(?jW z)!Hmlt+6|>=TCq4jO$*G-oPS*G(GG*r?VIbPI9qXe=bbCHnS}Z)uW*%W3AFZXy;uI zNvzW6(hQjP1M$-{Y|EmW(OA+Fu}-rNh_DD|7_!eg&t@zM)}4Hi{u|!FmJ6q{8>gxp zJSpGo#<7F$Z={k0Juc%i_hZe%URB@+rE;N+RlgdtPzi{28 z4o1|V@SvYgOvb8pVzTdXm~3|At|RlsrBd~jzF|8>mosNnUe!!?16ft^Cad3M#TzFr zYFi7O6X_-hQ8)auy&cPjuj(~j8PwdP#nU+qFKdqD5$5I3iCjA7cLl3neADsc)TA%vfSZ88O}hvhw&{m&lq$|)xn|P9AXQX zLn9K?2cgQbc|{wo}q4m5$|Zm%`{6rGl1{ik{gG^`5?JnT5Bqg!m?Y7%_%# zsxA7X;|);3zXecTf%en=3$&L$U>MDk5EE#ZsuabIbh*`N>J>Kh){LtBY2uNA@~`y5 zDnjKv=chd5a7bC)TH`E;ZCYph^>?^{j1raCDg_)TrrVC%>KqL(iRPkV7@k~pl}JPg4Y^Y>xaq{G4Z|2kz(A9NJ{HZtE5YYYyO3#3#nlok-!t4*@lg5du{ z1_gLK=*kw$M6saBOP3g^vMh&*|U&et%bLf0#tCOrj-+BWsfd7&hfKZhka}1Jjo37fvL{iO- zp_n#2Z)iyB!PWttF2Qu$01RdprXDnX)8Nsq+ufK7HUwSbr5(5$$e z5@}el1J^{+OBI(ua-pHbB9KAL?iv)aZ}O!O&;{bB5MZra8nC1j9S&q8!Bn{lje2 zU8zNA+!OA2d`8}1bJXp2Yb;b}t64v>!G9e&P+D5ahfKYXxBd21;jf-RgNIuRV~H`cgn+s zgR6975JUj73_z(Q|C&7Di2$9YRwZATcl+Q5EvU6PZda<}h^OTVos+;U3Ae=@30n_h zR{>|gE5uXoVzAACr#Y3qaVO>5LJf6gP92M}f89)j9*7X-7b;{jpv}dJU$i}j?YkHo5y(HCz!rN`gk_|Hu;QD_@3N;+{*1scd!qPZQl@+G5 zs%~35IEucFN}G;k-~0kj`3Zf7%Zm2Zz*Ik{R^?Tl8M0eJ;I`TqJXK^y?$?O^Y znTf}IGD5I8_v6n{xmdq0J<#|1^~_%x8EJ`~tzTEuxqDh-pn+5T7zM%=HIMs0nlYB& zi1C31Z=ipA+KWDW&9t^s+EF|H+j9_6@VkEh_s$akogSDEB?ii)I{K>-Ix*qN7lQwFp_cX_>iOuPeS!1}WulC*mC_ zzdr&mI<4#HK52k|uc*Sr;cq&pFFLp@Pi$cOq+LE%270|05P~T>8b&yhmqaTEsPY*3 zJs#lz*g=VCcFS~X3CYTl#R$F>&n~a=R12LJtTL>9B(LiL9}`3!ivYzRAxyJ{+m*JC zBZ-itr?35knLI(!&xM+eC2>D*r%?|}ZRQke+h>MBd41>kqfjf|qIP|_fNp77`N<@K zY&&-o9x&G0n`6)&!$_>+k*K+mi_&)St0^L?m`fj@O%ioiw($}}g6E?LWFWW81h9ib zqrGvdfja21qGya&ns+i=G6o_!=rdcseXDCKalf;w(hF@7IF_@E=xOZ1U{lDLzXFJT zn)Y7&ZD-+-2(ydF>|ekL@F21wLn7DHCz1Uaeu^SpAX%+dN5u(5*BaNRG1D0txWesi z6e%glabUUDq|(@L*)_mZy=~pVsYQ6jX)Q&wl?FLe@=e@{L1%sB@m!DAF3vK07Oa$` z-nTP1?rfL-7AXDl+DFO@4G)cPiK;Dzn*;20+6XZe3q|St5ecMsYHffW`ILj#!9;FD za&;!zw+v5dzP^ALYbNDuUulV}J&nJaM!B9UR>iG=W+&7MO(KRuud10| zXPrr$-s^(d|1~5KyDU#}4;o!~&|TVNt-&vS&2WSsl30T;bIF*28~)+}#wT5M>v}z= ztz;B$uwJ9fddA@*HEP9DR^6y#u28x;Nu*!nWp;*z4h1}*cb@{bz+D~^C9Jo$Po92U z6mLnbx;se}UfW6ZF}OOH@cVZwhpG&{ak#Z%_;Fo1?BgSJneUZSVypRD@louY4$rx9_w z8EFPc2^Tv75x0fx2{`GfEHyR`RNK(#@FUJJ!vvYygIOw8kndUqhAmJ%VPB>lhA=0P zUtwv4{(rZn+8E*>;I>ig+90b=iD}<{f|CMpZ!T}{k3CMgw+&J6zl71+ffh( zfEauKLg_@QAa|%p36>rb8+DlxfLNuGN8+JkV>qOw<|{3j%-dK=B^(+{?~_9TFWCr6 zkL^I19-7NY9ANDa3V>7}_6IN~?GgNTZt61y?p_?t7s{0Co-EewK}%s9g~%lWXU4!hg)SmHj4h* z>3RHYYp&Irj{MI?8C}*hk_5$^&F~a$)GcuA_`(op&kZ>Dxu{ zX)y~NOmYIQ7)!g-o~F>`K)XVMx4ly(R;Ch$6+7g#&Ltpa5|L5 z?vPJv&}<4Xb*i!X4t>D9zJN&xAA1f7+;Be~T-j~K+`Y(WL`SilD?3_7EtA8uGvIUS z-VL;}D!(8)V)l~J`;nM1r2mEoi#QWxF|M_$1%t%%s2ana{0)@-pAg-;tZ-V8_otyQ zW1(@-qEQc7Xt&!etY(S=_R<4l_X(i;{a9x-0Y0C4_;g`-4ji}n;|_UuIJwAMhL_QrH5@Ogcxp;&yp=NAnI^*|&aTRfOv=*Wjb zPW!;4`IvQPr^_*d%}$9UA8hgQ@Q8YK>|l?l`XW!_^>VB);!qz%!Pbu(;s{8nc{-26 zkkaK4;Ta58D4XJzFlZ=U@Y8tz@@fB940l?dla5W-LL^RXym4UOm~sJF{}=pa$n2+QvCYG#+=4 zXpmO?va+_-b3c*#Ivcl{d%?=z+&?Qn`z?kl?c`ckp1qr*V0Fx?@P)Y?DqK|#cee|2 zq>3kJ{t`~Jr*#OmbcXpOX&dR)3Pb@pn)AqmT`x(87{%N+5EXY2B0>gorgZ+fuuF*~ z4E1TpYR_pz4;EJm!3xr7p#fiLDO_s!qK@aozXzzOA8`#)cpy$-=}nP{v~nhhQ5f9( zp^zkUh1+S_w*QAvm$8K3b3baxOb=NIzpFf?!I0qn>;cPt z_5jwM)){Tw*@qBg1L><7&-lC0UffvDzey7DJ|lZrc0?;lOu+fp(cnwwEQPqlY6WXy zWu5M_LYM?jRWzD*Az^v%u+*&7C~p?z)?zW=#FErVVU4M^>ghthnNJVVmoBFoWCR8R zE2>R(s9X0ZF43d#5VcIUiN%zNyg&h1>uoRkltx>~364hEn7aoPgO(9uf{lVKFFNF! zzkF=vDf5PI*k^<7Ue42h0&H=82&7mm^T+JUtics4^PPQ=4#PuV&3Mq%eVUl`yD5@< z*(hTa_Kc;=l*P?XFqPz#`6QX1Q>_I>OEN|fR+8Cj!EF!-qso0ZYHfp~YwnLGb0UtA z4ACAxzBOFK*3X{RU)wlFwL-_vtrskgbMgB9rNR<68|d(%dk-9VG`*iL^uBr>9=xH459~wOEY89$lVu$DA3{dgR1QV4 zIxN(1GwPzgwUp37GMqg26mr`zz2F!fJh2FFghdcF8%MBJKcz1p+rP1K z?9}SU#s&{>rko>3PPL~VS>G7tlFGGlzbd~U}b+7CkOf{%QEtq1Z&QN&);-FaT}ZM0VAPL=M;fU(8KZf#UWf%b1ru*XHNjU#-K8!APDw*`zP2JAM_9gQySiEuEG$9 z@8uGYCEPu40|RLlS9p%*)V_?AcEoF`>E$jo2QNtlaz2nRq0rc$=QCJF^Ccb@^k$Y$T|Ps1G*)U*=t~#-?N^^ zQb+0-C43_d4=N?Ha%(+LCP#s0N!QWo?AxpPdLEixvEFb~Ey!g|1dT1!S{0!&;!xK- zWuc{96?sJLtv4zCf=69V*;d`KG}WrTa64ZpfNJYSael?O^9q-7x0u_x4k8h&H#NRb zE=m4QsQa#Km(EJQ{TB=o>Y)kiz?4`_d!`bG(XF=7Ga{Ky;9^FkY$(oaPx}c@!rv!3 z3B$3OiUHe0rASmszAO&$yr z_FW_r&NkO2;V*ZXb4d=f!;vu!iZ-furvbLujP}L`2C|^XiXH?;FD`7ZtW0tDS|3mC z4Fya&_n%5pK72Y13%xEPS!;>-`Wm#EbFoystN*29&xBz?JFRS~xLJkPt38%u-q-s` zEkk0JH4v0PM7%gq{?1-lQdrIQANGvdCB7iPEj-BAWmrrf}igh zqNWcbR}kD2%l?-Y_CI0y6ABdB|HL2G)6#!K1|fn4KHEPFJoCRj6KYrT;QBgwyTx^z z6{7x8Oa09KE=viYxG2SVq}|pAE(4Ug5+fmn^74+8MbJ)?Ul%bUZ~erS9Nt`N=grA zcOktGY@|5TP!)-NiKC4Bo(@zuOzxnf@Zalom7QzDEq#>w>cD9jpw*C1PxIjHzo#kc zm`eU!U`P{y_}k2_V3dCiRgSf@*tD~(I~O~PyZfC9Gq#}braXwT%-hM~%>X0v^?3|` zHKrOaz1fb&9>b$IeC%M)RkYvQsOc=MNA3zjCy<59-0JABA&3n92-<$#+xxclJa^-p z^d8z01e0lhNwO)`%!`|iN%SC1cj*MIIuv3gPG2zxkaPM$&W!N*C^rwPS5r82QK2h? z5TLqJE0h*XP!d$euTm9uItr%JC$m%#(jwgJ%D^Mz?kGytx^l!dAe02K(OO)D*+-oI zB1ud+%qTEb#S!6n$04|Mgv&{s5D~i(IGl{MwQ)x00&FJP#7{8XZ9q7eM83Vbr_60J z@yB|MUBxph*QVoh-l$xxzE3WN?G6DPOL{)P&(M@chLE0@lV69?0t2`0lLxHs$YzF+ z`;wqBHn?Qk>j$E9LGWxq;-{xQcjAr1M9sGO?N0HrB&T>%W^?J08yRR@Y`}wz*yJ)m zV$CB944Q&YB|N=GFTspEti*M99Un>^L7;^v#%u$DXB47SUpXa|$c+u!d9;Ouwcoek zTRI;!QDvtnoQEx{;rivKyy`N%bJXfV z|8Zlyc9HdwP?NDF{O3Mo(4&VWB>Xmm0ow}_W=%JDa@MuZFuxyFYl@x<15pkr#^5o5_r2SI-5ebH;(oM^{@d_LG1TXz^ z|Gf0#&l+N}U@%_VA$bX|JmbJvtu>JK8L>t(t)@Nu(}g#FBSa4lVU_c=+fkR*hrK#q z2-S?m0xx~hK&5*YEO31nC=6VOZXuk@nHSd;9lb8u#c1SQ-KO6W71 z#8f>ApZh|UV{zp6jKRF_TnL{mP~96^8H8J?>;ZoH$>DcxZonvfesBq&F)fzdmxd<8 zg$K%qdO^(c+i~Wm6IKTNw8B8|RKf#aPm_DR7Z^T(N--Od@R=+?2nCre~o1?p|g| zIQp-)Q)FRw7pPM)7ATxnjJ?m+=U;l+QNN;NFlZLb&9lI9pUcgTLq_OXq%%VMcIjBB zvr-g5NaqH$tybEBk&INk1$aNPt>`kczkIV>jAUfzDeM$d)V$d#0#R3>4B>E$7+m`hdvIn-sW#WVL! zhK}@*#p3BZhpr36-!8G%eN;O81)P6@v!GEV>OzQWo68o$5k}5sGWX24$biF~vJe=O zZu2SQ;wY5zOEsKvkxM_0smMdsj>jZyb|V5+38|_LY|n5dSP}Qcma23f24`i&9WCS> z5g9v5jfIvtimrKJzLal_o`4G^k9uiXnhM3*A})r7a7O?N;%8GjT?e2Lz7df<#K24~ z)7c*QXcpv6DJmbAIzuDaaV3w7Q0aPcT;AHEZh#2Wr((u-+bZoT?a_SYDH5>aa;|1= zwX`5pg8;*D=+ui99IC|G_9}rd28pvdIFw5O<9!~=Xgv3%2nrXU* z6kkY#f?{;UsDX*2&|#}o?oD8x8AB)19QgDXLrmi{XM4(6r&lw$(ATNF+ z1bQraF=6F}MvIUa1AZ1_Xy{bJ1AO;MU@oZpli^S{%A{KC2dc>}2@D3r78~%4*(F2c z+UoA=`llobiz3SDvMPRH$iDLoIX3Z(Z$Y3kByXv@XS^`Qicrsdr4B`YU9PWBlU@TIfOH^n$(l$ALpC0mJj~T|G6}Cro5|CR4eQQj=3cWi zkQcQn51OMqh-{oTaARs~&@uMeY73aGT_G}eImmI(#mz=H6KXQnT6l+D3-yqs?wqo4 ziv6DcsugF5sP$KDTJ6|g$wBlsjd7DYKbqt;o=c(BRw{{~o?%Ce3PvYZRJaC`wUo;4 z!4>xP4Hk$X%p*=ZbzcITblNH6URFXW(B1Z}mHw3*fWfd}m1WFepQe#L|H*7=ExMU$ zC7(0q4rA&;HX7uH!iS`D{YrT-5JSg*7&v+g3m|YMzTQp0RLeU9V zaVSKEsyGDTqY-a#3)?3?F7L=lKXL4!%09!1#($kn&Mk86pg$5O%?)=>fGY14!K=Kv zb)*^>NpZ>|DGqtx`RCTgTsiz34T$@0k6>wC$0${j>i3-+EYyvHl5T=hQiu9VLfINkU z;Q1thdxO2(p?#_uh~3Ne254Nh^_P*N19ks`Z;v9s!@j=Stj3k~-vNsbkYb}A? zZ$>MKDrOk1{1uv>f%2c?pKdyhKJ@g=y@tKMEUGZc_2vWc>=#Wqe)`A~g3dC?(109x z@^q3gpp&l#mS^GbfyO9oC&p(;QI8kMb{O62HyG$wL*(Sjn#)v3i0WHQn(%7_z7XnP z3pE)_&b-?qLJvvEnW5O=nn48d>v#}g>9*5JA2w8)Gv7&{U8z{gh>Ro5T9v%#dIo5L z`D>4Kr@9y!N}gSI2vP!PiE{Q9sHK`kOhytMA)$OFV)>N*?54c?!&z$AVcHOjAv@QC zI;mP6>1ydDD||Tfd2%B-)v)pk8bHx%S|0sv?+Z!C24kTdexLnC_dzL3vABm4H z#-hE{0u>Ko=K1lNFdH*nf88IxjMpwPWkXHIV&msNXvjwoNwD$NzL~cj2LA6Jzf@WnDNSc0Pl`u?Tm5Jb4x7t(Rr;XRPkzUEf)f=^5)*#GR&hCOJ($4K>W~(MvWH zOLoa-tJ(loH8K%3um&MbW@)KdRre4W8IPmlj@pHlqg1DpCe3;YaSFm1FKtPPzG*bl zrIl64AY9!4X%z{Qj`sR>^k>5bMDKCd@|D)=p?>eK^O5yp|&!XewZBaI`cdQ zkg2FL;V4)@_E4b$VmZT(6bDJMmg2N0j_V<7a;YKHe+nNX>AEs?7&@YOf*NiUQI379 zl&c)_4eQJw@Z*OOW~UOMzJDJg377gV($uGE&AxCc>!YD&Vl7EOY?mZG46!7A_21}( z8k7eARx#iq$Y>G5$jFKiTP?WJa94PvD|eE4y`6AN3Jp~6Z*|Ggmey_(<7{cK7Lvk@ zM)11X$ofATk|=+QIBcN&%lIeG_VxLnGV0z7qKcKN!7K?3(ytqNgs(%`G$0Zyr3IWD z-w6@fq-#Tw{G_#_0>P-L>llTUV``kyyS0=!eH~bQ{D#EGuhTy)Pexb4BP{&?#l?(o zlXxg}k*;e3pWV32v6i=ounixhSXkHl^B_x&ecIYL=nHij8PW-?Bp9a2YF&CAX?cBYp(~OZji*RR6y{Pxa@{yIY$`i3xmD{VmQ^ z%c#6#=D@M=^NGvJZRB2fx{XJKT@%1IbueR>LU!SjOHa(%5xiQ4V~{WHM*S1gi?@5G zg2^PAZ9*Pa6n~o$l&?H0B;V!qPfwiw(tb~$jxR6x*{;(s>;oO*;2+%3o-01Py`0Lr zOCDm+ns(GZ65%*{FHzbPu3yg}m`N67b^~U(+u9aGUY+x_XUZ9w{kX6#Vfi9aCCxv$ zDiB9LaU?X|fc1&adg2oaFZ*F02gUG`#oNn`1L_Q#>BF8L2~)tPm!7t*!mZV5?*E~Sr?%TEv8yrT%`&2}M4&r`eZbzlaGVaxi12o;GfS0O z1-~N_Rcx_w#(-3hdabpzjQBg$RWbN{hiwAkDM(pz72te1yEKR_FAzZwl=HpNwNPCL zA~5(Tq}U6Dse=N-_5o~2fkbJo!Z|&6rVk&2QKVRb#i5!$RDyv52i~io!UK&V-+x8AUQeY=`w;Uk>09KF*_?T$>YRq z>HzLhK{~1mb`^&oE-p9oY3wcXmD{kpkQF=jF_Re|%goH=#*uCUr7I#0scl(^4051N zYz1J(YFn$1xvPcduKXnIROWc;fFGq=(p~HO{Ng)5!UNnoHi4j~P~V;9VfpcM&pIne zM@{4=e4gdE0{}4TwU)#*j6!a{QO{Y2$!186Eb76ZPuA-GnXJ8-kreCEdF^T4otRuoCHW{pszhOayM>L)m{K# z40c+Y$J~87#GbB78j*|T*F%*%i(L|@Uy|Z<&{Bc!T!_<0$ba2OdfU)UG2A8HvIlJ} zk-~XIAzF0GABJNB^>Lv5$GxCVBuwapw{4adZ9nX#XS7y0by7@OXT+*LGtp;K@$PAO z1rx+#hbb?d`bL)i7u3LpdknHk~0L^O;_y4_e` z!8?)7O4;%&HB-x_boOqj&20k*pWDCg!mSGM|&%f&uPcU`FISdw?oz&+abtA{2e zZ|&vAzM;(EW$)TEEz#1DA+D1&{EsS#u8@|g{{>x(KQ~U{9kYH*ipQA&SlB3oXJe_l z;W$rZ0o-sSB`1C^m8z%m^?H7N+aUa2sI)`Y;=i`uVoUHHKuAc_cJC!xf zXB;E`*DVNUk_8z*);}57-|v}nM#ckV$f_4bBq%MQimElGcKU3_S)P}~_zgW1<1^2D zM&=S@!|^DEorS(5V3BmvMv9zZ*O_1W73tfcRZM@i|LK4BcRWb8(?5F~wpIrzQ`J)ZxP$)q1Oe3dpdGy3EP%;(O!SF7ZD zkU}NDp*s!Ru|*X003WUHvO!s$$yN&;k*b6)g^F=RN>qt?M9LZswb_%6WZ%hR@%ZTY zrwJDtvXKSFyhe1KoBS?BN}cEDyosIIw)K+*(^e!)BV`f(8C>jhLExONN^D{tJ1l##%6G3p|*e^;7VgmnA@;h*bFXs zB426YWci0SmCNStM}lqeddW-bP=8wi;uG$}l~w$>SavgqwvXdyO8sorEBJM3v$ilt zzDoLv?#{=!>g$`q_QhJQiEL>__VKM}2bVUG00iO0b8C?KE1P(88S>$mR_CO13+LJ% z30^PX;PN~;(wdDqI+-)KKp4f4(W9zhUR+WyQb6-u1u1kYn{PcQNG<0p=I8mrmBqCZ za0Od@tDy^>ADmw(&bOA(-eo6|wHCNS3FI_c!JBQ!o3>CSpf=wdTvne6Pgt<_u{of*ZEn$6%1?#DTC8P^7ZRdQWc7fJ%t7hv&T1em}`sW6A|?8VaB=JEx>W%*XKHfLW2=afKHmlj$pt8<3% zfLQTDxH^!9ji&B$@dntfHfZ|otJOxaRjAFatq@6FQCveV_~IO|DX3(jId`IjB=NO6 zwKa$JK0jX}K-4HN)C{pa99#lm5ZF=`8V8DBs*24mmJs8z3C_N3wYWM5m=K;$IrdQI z5_*GkUd1`0ZRW^fVSkKU4* z09r1qFD`_-p*OahTlJ~|p34*E9f#slDmE8oXSIc0%gvPvI@{LF&x08X&E?IvUKHE_ z(ps4_TxI~7Yd~!(ZoV%V5aU9+AJ|3V2L}ZcwhAEWi|hH5<|kP2ipF}i2}vk?*pwV- zGdQnOBU--%#}2?*Pqo0v4b;3!{FXoGDm4)=M7X>GdEzm0s9ci4Fn1)0=1}{1YZZgJ z3{t3BY64M`@!tn>sVyMN0+X&K!FG}jjn=$d?vmole6cWx5GBM9p`|P2??!VS^SE3r zHu3J7g-R`de6F~XFIDD{XAxnSBrDzIEMhyd1=7!8Q1DGpJ9pcWgHKRLMkB$#EP)~Yr~=`WZFwgs;X7p2R| z(X*AY=LhG_WHMQ;dB`7TZ5Nw|tLFS>+x8y0!?1iMs?lNskgl{t!)5G9l-k%VZ^vij znm=bEqeno0y8YkWseezi9Y)X!wmX=pBCx9i*2-6)JMV~h&^Ty%7IpRD0+K#J^~Pp! zA-$A;50yU&`B?rqJ$?q;qViAC>2comc$`g-&(Pyn=yB8Q@wky5 zKSYlopvQ?f;L)JR(Hro1k{$G2{x&K|_$UvI`EcMBf7==G9$%ry zZ|=n7*Xi*c89ct79zQ~lAEL(%IXteX$9w7V9(rWQ@ff4W>I5Du^tfaSk8SjLW*U!o z&|_>j9=Fru9dE+p8|kt6W<0)=9;D_{)8mgG!Q&6<@tcq0@$2+B`WPNh z(&LJ^;c+QF9^H?}L-csh0X&|e$Im_f|95rnpiM?$7!FjiQHoM;2*nEs4x%Vthi>Bf zq7}@bv{j0PU%E8SP$&q3P-vDS#9agxoD>Q|p}06WxOb^2B5u04`@YX|u@|~(9CwDU&Yp1gGP?Si3|+lR z6J1rY7rI)Bv(VM=Waw&F6o#&@7^$MGm1OAZPwa)RDnnLubuRWoSASzKbhQzCp{wU{ z7P@+u3|*Zxc12gq$#4fSI=TEbagTILRU{?FLd=H_PQNiwG3#{ zRU=JwbtCpdSKZhPT|K$!3|;+;z0lRF!7aM##$M=ZA@)L7r(!R3^(*#5R~xYxx|)u? z(AB}%3tdf2I73%Uu@|~pkG;^<-Pj9V<%d>^uJUcPqN{vV3SCusjiKEc>0h_zP+U|Ll5of?2WDu9I?KAul&*I!129doSV-M z_3+MPZQWAq40{i>)fn=A;=!D^4qooGSgQKeMtfVGf$n|1ZkC>VXR`a++Nk8kfX;zO Pvs3-6s5~C+hv)wT02a?8 delta 34077 zcmbWgcX(9A7ck7sE|9$i0tt}bdm{-6fh2?^bO@V5PiO%`SqUBKRZ&EGfT2SuDo8J` zB1lnCiZoFK6akf=2vQY66y7sucJJL?_`dgf-u!VVcTSyCrro)Br~jHZZ@VfTHcU^=@!3!Y27-C7JO8!=!|*+_P04oM-esElU==aOa2V>zklQMGKuh@m4E z&8}KDq_n(j(QK0$iWZ`-TG{KRgGWPU0EY!d+8IX%4H_9VWay}%er5d!4JqpfRHH_e z_ATpE+V{0ZJr+gH?(AEVn9(4qoaKZ|A*>)=^1w?#e0)4W$`@$}nlN6?9_&?ur*yP) z3W_QpI&xIdh_b$ALq-MlEgd{KXmIJsQPGRK7Lh7d+6);sdQ=d~NiJ_QB&a002j>wN zG-!yZZCIY!w~W((hUq~`S%{ia9u>{eBpV?p6rUB8#H)h(590i$G-#BOnvtB6RNln5 zq(S5IpdrJcwAUqI9k47NJmBT(k)uWqkLnr+Tv8g8+l>V`jX|vueTNR|2M~>wU~jKz zl#!TJZXPU1EoUE{VLhya%YAl+hr$JP7}iQSEV~1`Y04He}e#ykDhy zzoDa|prLVH9hi$ob&Qr4%}()66`pf)OnT7&#s6jO%5u_>mUuCb6(p2eyjZ~nw}$M+ zeOlGCgIAR*17q6e?ygm3VAR0qfpskfUaYdrSeLC@K>|%?4z6oS@nSofWVSY)N9qyN z5>dIxt77Mc2&L$ zGLG$dN~*CMi-`pF)(X;z6HZ$m0(VJ^NTD71%FD>!iv_YK<(^&2?~6$)5C$zFnPdSQ zT1ouajyWWlEnh;O(Hh?DaJ-a8Wp9?W!jQ?7r9`4`-lDzNEXG8-z>ASNvJV@-l;oM> zys_~y-mF$DlE_{xC9)&WRG(oZ1`Qb%Rg@fMkES@`?&#=61FQE~G_cm}mr>ZTWyFhS z*)+-UW;^GS4EB5(k!hn>X;ObB8A6M_SCkR6hMiq#=+2g}CX&zpr1PA0ud+w*Hl zS5u|1+ZtgvW!D!PjiYA6S@1g2%U4q>$klcNL04$nI^s=t+Z5ViGo1T+Fx*xbRdVJL zU+c3EpaVAjAauFx&0|$PU)#g3{zY$Vv(2Q3f&S*rV-5;-Y%BRdzpc2Q>%rdNMp8Kl zt$!^@%Ay7zVg0fDw_lbvfh83dEwB85P zrqYL-oPG8&*lD#7t9(T3@l*`58a^R2-RNE)k&C;0Fay+wy*1Zt2W;L0VMYQey0h6A zB$Ut}1k<@kf$1ejrst265F>qHV|rIGWtJ0wcUxzdM0`YkUphhVP}SGw*OMfR*7aq? zOHPu%)6`H|_fupXQCY2vAX;VroFZK`n!#U_Mzn#Tsp~-F3vDL@4Ws)Eti@`bCcez= zG>O!C9KHatFz_@P%^5xLhKzMT12((FhFgiJwf-3rL`;1-kGhspU$o!kvykOIt+URO z@stb|x(sE}-;k~P9dfOCfy{BL+T?WS$<}{Mmg!Zc-;wS59dc-Mkqn|kebKv0%72<6 zdRp&aB(D*&M@Zkprd}eO^gE>ObD8ARJ%U!vbfEQRrG>JG)o_K}Bjj7;K)>~6UO$q- zysUX#^<(RPBn`>`1nhsl?D>x*nL-Is7R7oc8mh70S4l3%-f)$q+n7Lsg6sW6R=HID z@e`TnQnmLQiRTP>;40Y;>RE%X^C7K)AKE<0kCA0kq#WjH?8gxUCvy+@Mle7?K~ zd@eilnU+ohU38m%pImaOTJ(Ut<5Jc6AsGWz+#VHE%iP$DhoD%3AMaaO;3M)o_3{@} zj&_=V>R6lnN#3S3(%+$vPVg7)&i@){R0mC-xJbA zA#zc9yfa7EM`frj3EDqB7He@q5&Ve(%o% zLg}d6HA+qJ37^`fIDHBxshO)Wr1v1B}^J{o^&yiPOeJt z1d4gmtw6C-I2jLkH$io6h6F@>&0v}#!(wn{0W=V?d~_MPY7 zsAC`70Bzn~pe`cy->9>jhwp(p4=v?CPko9=W3FL8F$w+GFl z#$f1KZL^tkJ?Lv3%Ew7wVq(ne36XQ1H`J4D?@3pZ0G8An;(kysTAxO8>IUrVUVsz8 zF7={a1UQqXJ3+SfrfD=F7&)rdoiwz^Rj{>pDIG^>w_p)hor6VO<@W_YbO?5cD`*z3 zg+J>{2a(Z2n-=}3FP$9Ba?(kP+^ViUl18)2esm5U9gK5Y2Y_ghb!r)PCxi(e+xi2K zwLze5L1-CrfPy`&YuKXSRt#_D$-b{=$l@U6 zFwl{Mt&jCGlo;q+g2h`Q?3S&G#I4K2xAY(anOzoefb5*A5d!4!3{6H<*3Lq`V* z!FeU*{;Tl9Lk(kX%qkKes%-5JDT)}_gHS_LuFb{*HB4v2uKSZ%7BquI!Fth-QY+jr zo1=0|vNPe}Lhu3~Gwy{Owwtm;F$}UoF$}(r0B}aA^>T!v4W)UZI2PuGvNq9%p8WRu z)@Z@LCug6+>c;>+z%yeE-5t=;tf8@nmdq;_nyK;OwzY1IH8dj*b==z_@!)OXgWet` z)wAbkMyQyx?20!~x=^UIFjRC;f7UnTkTqP7XujAQ2XJ;hQ}*L{d<2k_4AHz!+X5jU zb7V2*A4~$p0eC9OFqjkYofI40@MOa(=PGNf28MdXxsI_E!e z=pUi%ZbL&6dBSDJdp_o7j%hnhZyF$=wotB3Gi(L|R00aF{2Pr7rJM&E#DU6Y5NpH6 zhDU@3hG7l{GINGuyMDJI7Uqu)GYu15s(#OegwSXZYkw2N+b&fTvkaqMs$!ZNDoG$K zjW;B*|C)-X@(A+JHY_y_55ou=8pb2Ye|nPUyuko~{e;5kX^XJ0>PoC6$6zGZF1ZFu z=p^A)nk}Icd7HH%!sw0%g^FLxhbHIm^)a{qhYv;eT#c)dBe+ zNbByw1{4?uxK$5F<5p#)BOraCa|9%qidtg|4Z(zZgyYnM%`HN$F$}jA8QKxIa6uo+ z=`*20qVp{3Xn@`Bq;R&NpCObbb~6N#bdC|n&UP_)a6tRc&}k%vV@Sg7i_V7T`fWvU zo_|%#y5K5R*v|gc3-)rIXn*Zuc+&xyhx59whC!UIE^o9m&BAWbfdB$_QbEO{8GNqY ztk_Ua=Zf~J=l|3!3QZxSVb$PSV#uSb!}&^(O(`+>koS>sh5L9ncDe-ktPW>aN(@oF z)TP7B7h3CtG(Q$LH311T?uM_Iy$iA#TJB-+C-j?e_Fx>zWrKSfU_cjsdbg)x2K_l4 zr)Twh83M>1(X@hz#H3g>K0k-EdA$tDfGI@4;|ymJtZr|^byAh>EH>n_^irD%V0W^( z)KG`Gg+yQ^1aWvE3-XoS*y=toX!~0?_c1ggB!QKd7{q{+#tOSZ=iI#?@JNUdOAZ09 zIGbOc4IB#oZtIMLQ@Vr*^f!={lo_%eIhHwNhx9k(a?adVO4!F*L;P9NKtnzDNq@r{ zGFdca#Q;#k9~eVKe>%XBbq)?0Ez3qmv(Tx~nh|rv!r&Lh#vKc!V?cHOPFM((7I` z3?SbN+PuL!?cl+NP`BR&?Qgp9b@yF`-yUq}MIH+VbINrFTgwf%K-T?z^MjXD11eT@a81M8MM7NY~cY4W<|^}?rqV~_QMSSqZyH61$w^B$Hic5IE+p0 zA~7TUja4_VxHnyBZ>TBaEem|8`lfm%d~Cv&~0 z+vvc6Q>PoQy7dHD7p@X9^x#4!fOv75Z<*FwsI$}wbKH6Hhyklrvi>wxU{1h*F(-l$t*<(w( zG|FKJ1sYt!Ur#bd61q=_*cZhT8W@+uElZkA`~s%JKw*2VNX9LivB)+Zz@^J6G^#q{ zj;1eAHBT}2;nY0*96=xr_vD|X7^hSEi;(t96wIHD-#OgErjsYz(a1PoufsXjxW>je z^eT4FY=l`-x^baihiJ(e#z+>GVN8K~eaN6b(cJy@M(djXV)F$)GpU(r^k&sEjo~^s zR+wpwu`vl?D>$s-|38!LCdOEn*2I{`sWAE0HZjWJeGK!h0z#6`OzYR&SnWX zA1d8)jBVK3rqHT_rp6Jp2cX~vm4}}_Z)}XhvyE??h6+aIf|0r~-4V;i?oXw0lu#$_&5-CG-1xl|>$G0t(RdeY`4tkZ3c8C(q7Hlv-*c94A~ z?Tjx>&qO<(M&nxOojd?PjlHz^yQC>+i-Mzi8uQaxS=LG&J!m|AeV zD&M$-SL01Z_g=8xoN;|%hiMx@@?@z&df#CLTN(xa>K8Jwr! zO0oH{PsQHtW|ZisHYpEvYP*yX#m2@grr7uf`3|X;ysK7Y*NTDY8ynG|FB7#aF)k!` zHLaM`9aOk&!+-oT{_yU`leAi_NUkA00ND_W7E+(QjQnj6<53!5Lq63LkbP~)|F|N5 zNgLYmOuYfGfxu(g{6;h|jNRyMOk|b4jU%a9;HuAcHtlQ_lS(y;P`0(yID__&#WAX& z4}|v6SRA7c^#P>*vFz(U#yC5?USFd>o$d^Oy{~aC$HR`c%5yC$`r3p|>E|G9dq3lD zy1}Ly)sZU^IaQ0EXJy8Nbib{&clrZ|PXs&Fs1re(69*VmA-{0;Fn)mXl)=5Oz|eu`z&2O2G=hXUcgO@~KL820V9U^Zls@e+lo;zwp+^KP2O*orN{@ zfgf%V#=T~Ip9aP0*-E41!~?jVgF$V8%>Re@@Uqr1HAxxisE{VkO3IC02yJDP*PP4C zWT%HfcIL3PWyX5qIDlPd-7&^&Q&}9gv@bB`2Xy9*0cn7s^Zb5{5e^NEvGE**JeAzv zGzEsgg7dX;#^$EQf^&t9bC2;ZoZ0*1jce%pHpUx-vim21vX!r3nKRi~WI8HXer{uV zYO)JUYuzc(_0o$ro)-j9?`gpE+$(sV?_PDh=`X?ak>IH={4l`5*LE`mSx@(+&mEe=lFg_mbu{gZ#|Zj39wSIS-zxAG1`K8; zUeZtWl#TOo8|NL~l1z@hf^(pcG|cq7;QX77^TWlj;v8hHAyDCPi?I81Az78 zSFrvkP&!Gx*tCmoJ`5kw1+)9#xh1iJU`eK42_n&;M2TPJ;J_K1G21{>Nr%e+? zAY>-6ozYTD+Bm^sDhfd`G)@Y|Q*+imai9k+wc+=Kasp_U^o)K6 zI`)?RS(9062>mhvyXC2C00{td)<_L`iBZvcs;1TI1YGoZt(6|oYYA-HNHv$WuLN5F zfG;5iS4vA@ml%!czfKAzPtl0#h|?O2`w48yIw^`mi3=^2U9TtMMu!Vl^Yzllh{cy& z2^)0n%^Re0x2XDP3fMcSCnc$)bpFtAvQa80G^M_6cKMek+ot8Y_oN)RmV!ZZWWd_J zFZlBr;gI*GOSDK(vsoYLf;WF4CAswzbbW;2U6x?G$5umwHc5ZbVK%u(7C3@%SulJv z%*p7~`nXHIdKc`IzoWIDxo-tYQ|mMTtx`{p!ny$!p8iDFTI&k6xoJCO&RwZ_MiH#~1nlthG>P_b zhU3B-@G!_}LWtdwz?$zDjQvzvWSTDYnF?6b;gCn>eh@t=k+t40ZJ~3yR2yq1SWi3v zqUR>EcMc#NSu38MG}e=_J#5xz(x-GsqKMCsi8>e?#XdMFO`wMacW!5TTyX#J5O6<~ z$UZ(K#qn~%Vl_!#uTu-=jSovt=?xq6+!H!jFkgH`YH#{eH0vQ?@xHlGbQ1db zkE5V@M3VKNqf%E&(~>Z7(~{WOub`8JGO39gyTngvN!qXnTcs5B&HfrwfQ~#aZF3;P zXE!A$q~&@Yu16A1N~`oL{xof~!!0}?&xTv!Z3q4lpbP|3hp(k#Lf;aay_LkiIV~mY zx5z*1jI`LLN;xb22UWqF>9_!0`yCveJtqXgt??p6o_>p42)|#H7CO}7 zso9UdmuBj9sL+^8QZ!Vt;M-D?qRX)B^YD_?hf=R(^qp5S8~=l}TE9gOg+D^R0p%O&vofLlO-9WabPmbxdG#0S+aH14aj-= zx=`}8BhoN-Vr>@V9PBdv*4#^mpkqjt&;i0B!O4$f(;=V?wVcV`sqb-+@dlW7CdE z9@d(FNGAxr>!8Ws$*l4rxchE08*)#2i^KQ`0JlE(rPKN?>K6P!TJKWz-vg-&$DTF_ z#{H2Gp%)2npmDtZP-?5=v%*Kx5su4yM`hO)Egx;l_4`xW4{M4BI80?d2J06zV8b7S za;+M$osXp=Ug~oC>cIJbOL3$Xt2{4-a-17~OTBq%?*ix)4b}Sh6X_V?xR<0PcJCi> znJ^lw{S5lJr45A5%>U{(EB{yOL+A$$*t!2;in0?}wS$u^#YC2PrSXN7z)M}PFI+GV zzL18I4}@|bG+5k8o(TAQ^jvd6?@wez2mRFZ(P8$EkZTDeNEDTin5v~sHwNo_Ca55?BmK0sFwwbK{QlK%aox*w<N%JFPXq}+vOH55~`^eBh{ zkiwT;-J;}G#LOPJL$}U-Lb`B%DQt2y@G>`K??%h3?eMAN1102reAafbIG;h;QO2~HdEJ!?~Q zU3i2Zu{a&8mLwMtdaa=d!%fMu2YWkNP9wKCcRZX^jonR_TXK|!4IqH8HN;-$nrInD z7fq|kIgz5|X}kebX#O9yf9!vN4KRsPB?Dh*v6!HBOM$+8-PVM5ca?HbA+ z2AYzFd6JUG-fS!yBNx&iUn28{5frt&RtGxD`>ycixe#BvwS&XqU`EYma)MB$q?sH~l}0Wm|F)Uj zPQcwigU6h4Q{)gD=!!Huop|bu(V~VH&=G^C*ctR}f&Ru^n$|+Dq}h!`XK;SG7D%Ds zG{~hHE#(EKqDB}k1%Sm@X8El&a_fjz&{xr(jc^sL{N_N;&b5)3&>@Y)#OAHGavU8a z6kXm9=mCIxfOdq&?EqnxGXf^!kVY7efOn^zoX6>~4VFBi1Xprap8Ny-P~d&oh|O*< zzp3BCv6}$a(JZ&2hXwbE`9KM1KbhqOUh=1{EH)n=dS7rxcqbobEWnl@hBg++0raLb zykCJF;UI^1|DP8?p9?%O_o})_+EX5q3pQIK48)BEH@9_&v{qxbv!|Rz-5N8$PI4nC zF~1Qdg01NUu8k5Xid$pw01Wl`&@`trWMrex&{ZI6Ynmaj;PzUk?9cgdU1GaHr)rbO zJ6Kwz%loT~9424^tY-~1hL#Cf4M#zj&J%zEbFxZgLYl z8YbI3T_`_4VTYYAhD2QVN)}T~kLyYGHgwxW3KeDK(2h{3{My*r)Yey zIK$q0O-_fyy0y$;Nnn5THF<-6iw6IEFoG)14Gmyf`{gFIN(P$At~GWPK#HdDOw-bC zRJz!z-*&0GI7)_B#qBDh%uS;q`avDuEav_? z=w@$F;_LEGLgsLF{24~^k_?tJ0a`LAgY_FLn*mnX0~)eRj6uq&BxPoU3(0{Ckp|&9$+6 zlq5UDp(Wvx<(i!l>ZgsMq`5OPh7(BNIYkZwEzlRgPm#UtrU;%Y2a;YojdSA;PnF}? z$5Z7-x^<94^fdWv-X;vvAjcrZd0Fe}@&?n~Of=x^OjcO{Y3ug}r0qL!qrJq?`we+X zHM%xaJknW}$&zNl3~@Q2XfFu8lWB$Lv?D0l&vp)!W5mhxqe9zf^T4kAGnw0bc{;!k zzXtgLw>##`?>XG!2HpGx@Az*3fZ6h>m+H(BDu9r zAx;lXU*yOcxwKy_mkTcbtoIYC6Afxok#swS{W}i~016IW0-d(5@8Ko#Y+j9tF@-^! z-pNEGu3_>%Q+^XPV*4hzR4n>N>kisBVT+f_i)cv`Jowsrne0RRHQ_yp+EK>>Xwsb^ zJJQb_Y0N8-#QU>0R&Ol_tXZ$Zy0KjD2)x8{xNrr`!d5jAPs_Kg0KEY+{;ZlnO4#tx z;0w4_SIRwk32jSat5-t%L2Z0eb6_R(TJ%s8oUy3mcq_$cCrAhO-Z;6r+C^^!VC`Kk zcPEDgU${+MBX6Ij>eU)+`mx{)g*MZV)o8ST_b{#l{ zR?WisS=B5yX}!F~b_)k`YgK@RJ{y1*Kp68qboGD(AEUn6Am21K$U=7|Wud$J{G+)m zAOTb$X(0+11YxODxd3yf1%B+h^&!Fr7Ji3hS{6G;W{8-v0omSWv<{ zWv$2{XBe(E=Wl|kEXb_fB&QkZq%52gGvBR1o{%MuO=oVEySmL2+RQ<17@mkdy%pS) zkcAU!SpTh|E3(*vZ7^GfI+&nZA8wO93H>k&hgGsi2tT_EI78iv9k8~8a(HLC75UN` zHg_isxgTcXj?@b)EV=$@A=hAM*Q-Xh)uhy9>N8kuu4)4-t#+Tt3Tv`U?nz)9iMQL% z{>NRgVFm0D*Hof8Rvh`m8DZ^i2sl81VLgBa?2%(h6;`?2fdh7jfPew;!ydE;HtXL# zGMu;YYKqenSdk&smQMfy>abZ*=G0JI!S;|744dWE)ZVPUd^?p(w9}%_K&$Iq?2Ldq z0|IWEHrxk|DtAUeodE#@Z^M!(`$XL4kUF2rCPHU4)n*j1AAlO{*bmyzXvz-km%DO! zQnOHY|1&uR4thAjS08}120VX{zhesS3CzF2bloD<)IxzIu00byI_nxF82paU906T2-iYL2xkSacxFIDQK>&q z$k)kkO(}&=i?&;uk~h~{94{?`dQFk zx6yubTBrTtw0wr#(`oOX(P?X(l{?WFHj_+03k`P5VYNmoDN6GgyNUq5e^zeD(a^_5 zI>^?(3FqWTG&l!0-e4*Dx0GH>m!58J{ z@PY%%#zFpVA^XiwG})7LSl}i3bqXam&jD1P!`)~7{SwT>=~^(%6$nYFagREuERHXVCaWK-f?!$5IQ*jDZL9y(9d!) zEI-R-!|ucC~1 zfzEVo9>KnbO&0D}yRiq~z=&1sRwmybwg{h<&CR?{=m~8j|28B8|WB>gv zFQo&T>5s{V38qb+0vzhwK81Aylo*>S12kg;XxxVCbwk) zo@#a0q^auu3TRjQPBRgYSDrza)|m~z3cdWZXY#jn8AyTs3wWBwO`;a<)r0}0ZC$lP zRoF$fBkg?^Qo(cR3^@kRgl*473u|3bz1fB5^1t+SGtt}qpfR?IUt2>7XVE@teP#+) zz1T1xHE!`qPsR0*5<{3>NzNszN`zzdYDk zRq4fctI8}|DRf~|Ybf@Zv4YbA3EkP8yQmZ0*IYa<&vOU&Kqa~dO5C9O+69RI0U#Rg znhOw}13>N^vJ-Vv&;OydO!($H{m*8e8=eW8+qhditcyIA-w0J(h_&3>x=M5E*@6v! zUrACjG+Y3O)>HbyH^9#QYg>HNs1|%?lf_B>yp#keaibSe{26RR#L}iZ%2O|8wjlRs z>%EmoTBO4iAEm$!8}Flp(=r`)-A8$7hv9HCR)bk*`YAyKfD4{Nz+CpX8{5PB)L%JB z=mJy-3U)P6+2C-CI|2KHl!Xp;c+_cTu(DjQ!>+X?MEL|hM#x2|k9C7|ZiY*}{-Mfq zw{tD9t2)EZy^zJ*m@4h7neJ2z>)J2{UMl`cp#9ha=U$4@0fkNTR6MLSLa9f{ZEj-Q z(D`QzoW@ksQE#_krz4dVdRw#&Zg+Hp&+0UZQWofSsCe~gr5P|o+f0mxU_I3WhuJmJ zN*cT^-cmda_lX77P6_#qViiicjIo1)l~gAv^WPASPQFr)+U+DiE7!h-#Pv zA_`;64c0w)mx z9eerQ7dlrE3X`>u8z|3B3x#&`TZ-+Hi2C-hpVQL%5S}ekx*El@`Lg0}9g(I)5UAlS zli0~dkd<=)40Dg)8!5NwM;tYjwB)B60$9CtC7gWDo1MZAW`bouYAL4mP$I$?9N{}> z1bodB5a78?BYYU@Kzt@c8OUYuqZaP#lqh&F(TVw~Or;SQg6-|%*c1lK`nuL`O_X;i z^=yUXh0@-ksn~=T*-Dxzq7}L|tQAI|I%1R~7GI`)pRN2ylL3tHiLG!1b2~K3RhF5W z3nsaO36q*Zy@%3^*l`Og4uWk>@ad=gL}=YMq8o40AG&eW-jj9jul!6S05CvlLF>1{FM=u|N%pJ) z2s#H!KJ}J$NI5I*ta!fPa3Hv*QyX+mhc?)KCb!YZ3))ym3{u*_3l%8Ao7H;_zUh0< zqBNrx;K;w}8#fpn31EyWJKB!dl(uxT3kJSYRoVtU4T$3gLy*C({m2K zXcEBVCSj*}C1?XZ;4;DrW+;+%@=#?Fp}X3MJ}h^bgVMOOH+r~Ilh7k=xL@supX#wc zCc%{FBoK{+lswXg6^>Mjd5KTZ&yIyB=vQ@MU z8Q(0WZ@K`v1Ut*2Q=kI`MBEv@HwF656)xB~d0y61&;)m_sZumqdpSxT+y^qS40+ZNc&4>OL_ z3zUbZ{{(|)ZLv4Iw-CTj+FJizs4OGI#Igq{zHH|rC6?B1C(@+GV!$x9W4?=(Ay8rx z!0qW7miVu5l zsgg>|TvYK{ri|xe_!sIbdYy`)<8<~I5dgyjJ%!6*!VfnPK&|L}9qFGb@Zl8Dk7sb{ z3K+cB>oB{AlnZAx(>`IPJrxh;xl%c8`lKC(x3!%JZ{JmDK%BE?tx_fsdK4f$mj7K1 zJvmZ(TK(22mkIqAHL->A)pjhW63oRbDLgvD(3dc~cyC|VDTV+R({b>CaB^xz=g(UWkFp2Eu4fwoY0eFJnR&geZiDxr1> zD>o{Qpao76Jl<1AxsV)sPib!_iF#jYMS41uY z-FX+-a=23hy+Rnn`{7q+(k3vG>-GL;IA;Zw&310{Z^ zqU{02La1+hY?N<%cKI`ClzxkkhL0Rn=0hF6|D){F_yG$zKDm=-wii>T9*1G#*`ht> zwc1d}1NhOy5I+L11?~1q6daBLg*R@==h!w}#{_+@95GF4j~NA5(sybWeK`8attR$CZ|JTYHD7 z0DOEcdezs;T+?}>!`b#??a-%wiap{$iQ%Uee`2~VP;Rxy&hNk(P~j%<)1L6tv&!$) z>3=qn|FjohIi4$Be14!#X`z1be;v%_yg&tZDQjJ}#?#!1tyw+MW}Mud zxC^$LXJ$CLff7SJ_8wGDHe=^!hW}x*Y8IW}%KHMsX9fH3D?if1X2+4ZCUbwFNbJS~ zC6}Inc3+3x+~S9j#fQ!OCHn}r_J~|n@lLfn&?aN|Lj_(`xGH3*=d&H*TvFMe%6Igx zSsQoQm7R)I5j`lDZT$=Mxoc+o{sM_mYQq+h*zhB;gTOz&#gRhpa_iW#dNzsHKmNjR zV6PO2ab9#|fTMIiFM9k~`4Qgb&KKMGa~;84xrR@b`fjQDXnS~T3-fWdZ+xyCfNz-DHCIE74eh2X%x8ud z${I3IgVu3^+FQp;`zU^k-BeHD$@lF17iXv);fvs}=DGNsn#mDy8$6q+Tw|P+^djmp zx(Ky$o~x2oI;${Uy+!$AUJoUj(E-Gr46~HJ2KBD#h_KV4d`#4-MpdQ<^4T1t+Scu? z0G;OSaIsa4dZ$?p7ck9Xg@)HK`jo8fH#oNl4*w(_K>ECp4%)?2D|`SRcqoCHgDsWtv!k ze($NO`LuBXX5@hyz#_4L-BV%D97>$N<~hSo)KL3#TKki9+RF)E;j<@!lcGxA?!w3z zhnemweCd5Gv;+59?z$=!;h{D$%__iPo(Wj|X!1%AtxfEphx!d&Vk2LdnP!hpTbus! zR1eYjKrlaAxxIkzbF-|v5LHlT-{Q7|k2r(zaRi6))z!*+4kGJ;v#tn{?6#K;00AX? ztJ_RZgszVZu+uxgQ`6{Cf%PwMI0QtEh5B;|sur?RKNY?uTqriZp+sGS^m?3WLj6HM zbs)#no=c?ZI6wF!4;&bbh1gYh2vA?+=&1kw08sN$fy0A|ZiT|+H@aBo zgMf|wCF2o=;;H?ea4_AVLY5t>HsT0;y9aJphpK&escAOX0bdzZXzvQ(_cN}A!6TZB zVen;EogAjnxttsuzS)74S3U_>^K@K1(ue!rhh6XjBh|4wp8mC0`n?09vo33+)C|U= zU@@lYg8YXO1&$FvS5n#hXfPWnu_{`fts{w71p3CPEqR^YNJM5kDLjp~)8I4)X!)d+ z&5s4cJu1LF+a9alrlCb>ywDRZIBHBeIo+>Z^* zfLY8GXZS}A)F8k^y#f8-2I_MC7DMh#idyI-VZAely{XWHXdI9vtD)M=PQv|44my)G zOj9%MaD2h&yc2wJ9-RGf=Gdo^TH-`;*NK7^HHK7iCOO{NnS@Fmu;=5J0agzvHe7sw zL(UMM0pH+=s1B#a3C^}9qLBH zSkG)wFQx+q+N5lC1DVL#BPQ!lDv?0IvYxqk~a+Oz}O4pWtF9Yn`Gr3I4XG;LiAbqwLBIYBiz=M=_zw9<(u zwo>Q7V;0m5Pa1qH8a};OW4n1ybzrMotK%t@s9M`LI`8r}z#E=osm;`dZ)p^uHwJpE zcIq0!HpQp`%so@>#GZ$!scde0Ab;M0t!NJ)4rv~tCNOh^YGR&dbs4{HSdl%($o^-B zXW~E@%iK4^>0|f;PZT6HCsm&FmfF`~=knnPZobM_qa37s6z(8}e|j3(vKIyFERNLy zj!0?TxFWoJU_D~hWHz)&w2Wu_ydrf0AtTv>#%d@X*^#yEs20O*aH<+_TD)~t75rnt zX(XJ?5d5xm25P`e?W8W$33+ZU=?qelR-9Oe(`~4Moq}rsa1sxnm1*1sb>Qd6JXvuU z^`_}qM|ABM9dTkbv@5_5ceGCIs;;EuywLA_N0wEhc7UEaNcR1uuDtpBt8oRPlg+V zD^K-TB_*wsgV)!Tsg2o^GPQ*R1^hZkI@}7%-Z~|(`@X+AgqN@c5T7^%V{5EA;OhbK z{Tod>c85^|)d?JgAJsbOpfK9=$v|~Ip^I&{xN6aCVSR3aIH4OwOEz|5lLx~z8gBVZ z&fgDK#}O+Roxt|3NE?3jY2`3nKsTwELYVi=5N&q(h?1!Re=q^I7It^8a z6MDy{m1(%96^kCOmbg9VHmqy;mkSXunjWyB@Hy$V;gGCU>dfb)c@SY39XCd*m)!h1 zBb^T`%?AhX$cE_HHtD|vj_RmcNVmRvkHT_q!e~-95kJ42L$HriGnZz+`n8S%@Mkn&vej8-#>_ zDL?|?*eMWN8aDc2^%Q83R)yctv@yWi>L+KDsS=C@&Jg(IFFRllm1QxH+?TDj^) z+jPNssd8Q8l--57&xBb9l(-wHLu?J%HB+5IN;xOtSZe9QN@u~8ptKA7=pA*S9hNx@ zdf-Vqta6r`%yCflKb_ce`$fI0!aG+>Y`Slmt+}0@nyvl@AAi&ZZtub;7i#UqCUzUY z*M&8ht4^j+YG22sN4ki8@yvO^3m|RgsjZ#(eD^9o?(@}Q92+|jU4pIg=jW>{Ob@zX zV%-BISWT&(PFTDx#}}yZTs{URMJttsmy)7+sX7hA~8s|dObEP_l)9}xM(P_@;BUY(TKpeCoiLG3%n_&NH zm@CrdUA1{XT`vgNtOcayUB#oK1rhU#xe0Pg1NA7C6qlvKN;zvK( zR~z9K{5RICeb{I3!il`s)~hq=H(f<%mb+0ix6QMiH>h1qzjj5>{tQ^$vqh&Iu*96s zv{C()k_T++NVS>r$N`M~Zs7;&Zc4iGDvUY$JbVF+%+Xh~KqZ@x$BUc%y(E)dy zF0S1UkxDDLj6%Ay8$VK<1-IgwD-180Ulq> zKK)d^V9FMttYQ&Hdp^=sh%ZKq-rlc%N%H{A_iT>*=m_Q;kaa#&%S=55lkPSq=Z#J6 z?XWR{Gu|~SdbF<2rXE&nSf73d-;bdd!INbjLUk}Gdmd7KO%nyT@iuM`i(I%_zdZyi z3OduK6CLje=M(FrN7UB{T?$*7{MV-Pzkr>zO0*i=_65iSz^7lR5m2JP;kNowb&GzB zgXf*2YA9LC4VtV}x(HyU$JAS<(?ZQtHZ|+IV(tDg5uUMJF6Li@7*BuZ3Wy^v6+KhD zD%_Jy?DBE79w1cwmt4#X9(+(tYS73=<;RYnfDVYTq*bc;d<2ljv8g9jg=5S;3FG8t z^ttNgB%QBUBTlK8P0=Oj_{b9R_F>}JFm{KPSTny?-zM;J_TgLYGoCCiBgH%HE3K)i zoYcN$ZDvEqs!iFPGio_aEfE7(owI5LfqkG=Fw^5dA6I@BYzsjC_8Tv8+HsjzhLzxK z>A$n;c0yl+wGn@kdGEY{aEI0WMunf3f^A~Z2d77GqB?B*1;Ck5!uDTK|KTN$$GLU0 z?a^gpEPtnVB6Jlp&Q+Q?f_aF3eo>v^wq00atI(H!{kcy+M?^jrF8`j#)u%QEEtfR~ z*{sWIj@#FQ#Ytp=uZbzU99UT4IBXq4FO^{D!z@3btwq1{&JSv!f!-<+Uj{k$6C6^0 z$l2IF3KDV+=1&04zovHPCAM>2l^ngDyx$DAR=uwNLaSQ(!tZypzkXJy(VXtqvA?J% z4Iycb8>QKQv)YI^&fk}x)E!d4E}QV18b~K}XDfeG{prN+?9<=iGZu3M?AdQ>Foy-) zQd4}#cdt@qcC9f(NA&AEbo7u>@#TYtj2=}sa*<_rcUFE&jjrwo2$p)?*{WOWi79hI zA*>a9wR`|eWDZhNjFW>M>i7#Bb@=GlIUaKXFUuyfqr6#|a;HM2O)%fK{ ze!0vqOW>#cEEW9X7X%k?e!0poSNP>xFkF5No&r}t_!%#YH@`H3pBS>F^2;FjeHu%D ze%a42pYV%M1YGLz%i>75EaaE2@Bw>ECw_SZUp}|o=a(Pg8_SkU{4yOrduo}&FDv+E zDZkWAgp0y2 za2dicZ)L*e4Ss3W1TM|_B{mB#QT$Rb8!n#wVuAN?ECcwZ1H2?)Dd3mmQ{Z&1XK-5oA9;WB!*iT~>TsByy}s^DjlEPmbDraQ1key=6 zF^-+#?UZhSeP*+%oq-43F^(>>pPk7AEs+tp1qi^ z3E+2;u0A|_FuNOyO;I-K0NQ7V~#n-J??Q2!e1*%W1*9v!(cEhSs4ix7z~ja21Cerhywl( z2imh7@GpKBNlh13dvh0eBPTPMqLGWkJA0RRR>n`=%$%I9?Cm&Nxmh`wpIW-OI5-Qi zvDyBw2UzW$EZC-uj+((s&>Up6oMA8=Bj^vp579g;7)&=;R^pYKNBZu(yAPi0UDx5{ z-uKu~55%5ke|RMD>fs}=H?MO{1o2PtginR=FbHbk5$h9MSJy1Qi6&g z^_d*nQ!1B-bW|VWP^=n{uTA1*o_?UEO_}e%zVzrbVTj)!@C$i!*5BvTY7k*WghCDe zVePYaLxBE5__gide=7${N=QiPW+Fy}g@x4#Ars)@;yQYwGlLITj_@?WXC3Q|W#F^0 z-s2aI0b45$e0)9^?16!Sn#=^1z2NCsbau?3q9W#0Zkv#CueKR*W_AtE6mz!6Z9kyCV|z^7^w=H~R^Ep&^k@Kuh$+zX!9uU~)q zx0raBQuIEKJ@WVWPvx=w7!#wMaGnkA{ktO{+0J|;VOqabrFs9s;oJQr>?zwhWynbD~p{;9lLgKi78S1^8eQ1+N<` zM6NI4S*1r7jRL2SAIF#zp=6bahRqutgiaB7%zhr0TwBS>$@yH=)!BJ?GOAqZdwmvX zd%87Vm>`hpxj}q)0~bx2acd!t!D?@_t6g1xdu1akD%vV%@=fj3mr&f_JEH5)AC{$s z7@mVkW!~edUo4R~lh4(6g{T0A&i<83V;1vu7hobN9_But#)2RnP z{^$V;O5)Yr!GQxJA|gz)#fP6DA~;t*X{6FZ*~iyctJ)er2o-1J?t0(i&u7LDAt6rd z2^xrH#+~S1=X+75rEH36JnQ9M6ijcAFBde@T!JNqMxtr76fPWuy+@o6%C*oAs>_*J z(qCWpp z1r(lZxaI@tvfC5IRzqJ9VE31U{&nXI-j|16lpL5r;-T0a)??51>Q=Gut{3m)K7a1W zy1%giR!iow)$VB-@H4PgHN=fMUjN=M)L_V&ceKleab|K>TrR*KEU<#FztIo>)JgqEwtml6eCqIZWl6y7@=cCEK=Fzs5q{>nj-UYZ!8Ut{^IvPw$y zLPF`;;-M?MyNbPuEPv-4d0|vkR8#M2;+Pl+k2b%>9M!ho7LV0*Mi6p(94y6UWqEF- zIG2P}+0G{V-yLVsiHcsX#e=(caJ5}(Qm(lg#bF0Wg z@vUvo@OK>T!nGqC3~7dEWjw86^hXODOts5xV`G8EbE8*6eP0e9Md^0@_bNz8q~eK& zyUq9IHc8!=!uF)$gP6R#m24ANr`wmOlLnVyV{a<@?P}xG(t5!`)GddQCUe^m6zkNQ zcZA_al5l@4H|feeekUt=b6V;z3`bbp=ubg6N zPfwExd3;J_(aCf-sFn?s6cW=mXMG~N&{le_1anwi;<;HY!=5V26_>d#dnwXX$lLok z=HR^aF~7qNSNzK3i%s~gLSq4E5*H57Hy>O^<8n>btD49ZGHg`f^zer55<$4TpPwHv zRGII!+sf+d<=L!#{eH`}$6+U-R=F|q!ootrRngGU>zNu`9lNv@3++F%=0v~w?+uw+ z)}1%bD$d@f&7HTR$5OZM2oH3`@H%iY#k@3N({JDiG0GV9=N~sNXK!-mORBc-6D&MC z_>I%3ReS%y#K54xE)!Qss0k@sQo~F_;`uk}7>aj`EzNUJ-<0YLmo#iWhyKtjrOR|h zlTTNeVF-Jjv~_i%HqPru;ETJsaA6QIKf~9ZDAE!)G+g4>c-NQHMs3&2jtLHua*$;@ zWZr0qiun_-eFWX}D&u?fgX0><`}N%m@pl-R_X6Q;kFh!TCy{)r>4Ig&XE|F8avEMm z$m9y$o{UBkbB2JpXjiw4Ql!q5#%pg5T=3?0-ya@?BLcz@upA`_nwJOdIQbf-6tS_f z0nR=N2}~MJql&!C+uQP%mYbfUOiWA>V`F0~v*1xQbo2tX{_}ZvN)Q%T0#PZJpa^k& zwyTgKkie+=y>5(5xkNQwhHh;Q|EO&)N~nHgmMEe zuX$Slg3Inq0yx@ew$__CsVEYJfl$-)-C1c687$}O9P6`AK?okLvKm!^E~3icRIv4d zI6C=@^(2F^@NlDFAJFDpC-vY$LpD4SMpBD8B%e}JWE~vXiHV65l#*8T-6;Fbe}!&O zrzA!tjsIGda$h;SD=t{i)@p1wylX&es&f(Say~++dm#|n8nq{3O5?o0_|fC*+??*& z-n_h;8XoXO^CTMXoTg*l;eC5OBi!1fetSmU+pCxzh2HP7U)YZK{`Qh1eJv;sjp?^u z2DkHadHLrY|5Nm|aWS72+!7y8y89dY@bso%82iAd3o;NR>Vm}@gNP06O@2v}b`LP+ zxT`&kpd^zSRHx!T^89()mk~*4K~VJ42-o__p^=NSz{~WmBH9PA^J`_hubvK z@^wS0DF2qQFg}1co3yE~Lxb%&353WFJ>U00%Xyk0LNGd$awe*S@t9((O_yJ6^ATj;#BbKPyT zLEW`zYXzHd*UpiIgwRKD7?Ji*V%RsT$7yrTakUpi@8{=3MGafG8tE1Z zU4zalv@hIrNZR$adN3g8R~L`l{VCsD<9zNv8JnOZ^UhS9K$JbKrI<8DPdhll zB`EX6n|G7H*PYXJ!%1Y;D@t5ys`*0pJi ztmYpxAR|Voo8GYuzm4FD5|%{8kn z&smQ<9KE`RwCz4j?YEutU)XFHlifA;*Fjb(r@ExoXg#Fi?WkEQZ5JHjdtLb|qOS1s z=g)Dcb#;81epgmC_KW%z#rn-&xif@#cuTvxzCUk6KBx`8Os0{FT)I79WUKCy6_PNVCs5q-VmZfZ6wX*Q=*|DGO#udM)BUq0%_Yu4@{8pH{C_TT9 z^yK{h9N6x18{6qp!Gd@5M$9#cz)^a6d6`Zg+-`!1+%-73qa<9GZ8w+4#6lkI;GX)N z3`>&_#f*ti zdU|?veNV^7N)58Ue0gfubSM=~#;;OQdfZ$}|Ex?`rdB7tG);u378@s4#}FQ?%zFr+ z;My#?E;0G;vbV7vasrk7`2mAy|KSwavl`8SxyFC?!a zV6ha0Q(-&H6M{pjWM{`(US7_u-;})QcO3=5Rp_i;V^p=xWMX4hlD=1Xrm%N~No%KF;IMCSpO+NYRHd|mL){d*=VX$_|aPp zmc`89Idu<|GM_)CZ41?~-x_FhbKOt*vSK$x)5x_xzVCLF#eEG01t#|#XL#GQz1F5; z`DlI`>V(lsi$N99*l@&gh%}1V|o@?vtxQ|}@z1*6qw(0RYEY7Q{Ix6kM zCVugO-+ANnjN92Uhs7l7BVuB$=PvJNYoOvSt_<-JIk{pG3f2_BIA$(J`@F__7eZxbyS+H$9^Hw(JuX~Cq}M^oL=x}(LO8TCiBDj#cGkL5zOvh)-Ou&LRaPaZ>-2FTzm zK=cnDJYcsPp#^1IFWcWDR81BF3~cGk!B*r44~A-NXXVB@9Ywy>y1k; zHsKH35shI4?x;;wlFeXoH&WMrax4hwIeu~>(sNlFsB=|ix;16#)BKKJV?$tu2W?H% zf2-4dcEsbXP~wbIu=Dd}+Qk9DiKMeB$zdqwNzYUonG>xWSytuLi?ut!)$A{>T|f_L zUp9mfWVmdN^{o9FU=t8XU0XB7CgXeUlt9P95gQqask${GUW>oHj-*%OUb4MBi$3ke z7gSzax^bPu<b(+xggd&rfK^DqwtpMk9TBRis@kko9vvOYC@Qj4=j7#Sc!`1%CD&%Mu3#lYOJ#&&Kk^uEaT#2XVUD+EQN-L93BpL}lcaH&o; z9qj$>Hi;dVc_$oO^m+D3cha%0X7>8!U4!n<<)A2N0X!WKAWy@KgJnz#p=1!aO6oUK zNiK`*TP{PsE2brCqhOP1{=EhKfyn)hGl**4xk>tehO))2KxOIZ=*a!r6?uz8$h7aE zuTKHgpFQ2(PoMojY3L?F>D$AQjyK$CeR>wXb&tuLq+to4?hN-iaee^{667+UsI%ib zIOnK;abD$jkM^Bq=1-#dK)_ssBTP9e+*~GlyHme*W9&@{(H2tp;YY$vS?s0-FatqjMJ%gV5UvFce5;qR;L2bIY7?jcG`aIy(?< zj&bzRiucQ0Z=A9#7}zSE^CG9ZHCO*vLIDs9z+l;AQqVW z;(e;vHr2qX;&ESbCo)mU&-C@i`rY|zvcaA_=gOxbtG}*gwto33i`Sp@Nk4Bq>-xx9 z6k{1_Q?)UUxH+rE&#NFlG73iv4T-fTJk95Yra$iL9RgbpGMPDR1JEdo;lcKC4nz(B z=M&7$W`%v)BJFxPFkU0;dv~0t-^AI%5F2&FpPJBh?^_YRy-{Q|8W?Y$#6YcL0=;b2 z@&N07e9xz*-#gX{<-*(%g$DPrxjHdRCY3K%8(43SuSzaF3wxbx`6@|IzR?J*?3>Um z2RQR=w)$0sR~6}2%H!eYyP-2Dtn1-?Ep;oI{26NBD#O>oZGY3fa6*=fe0|vS!EbJ^ z(JbW~m0bVPX@%oHDB=zd3`@56(*It?pQ6_LY@jdb*XzuG=`8k;34O~Sv&Gkn&iwX` zkIu70XE&w9TpC@d!M?*~ylnAGY$5=mi;$V-+6tO;K?v6?7ay9wceEWBXI(er_ zEK?`0BTS3w@)gJh5lj?bcc8qc*P!OkzqrX19)D?ONtRf^j_FZNnm&a(*@DHf%6fub zo0yo=>w7=j)^N)JtMix9p*NVONb^FdCj*gh^c3|HK0-TEnc@6dccB~&xFWqA^l~{_ z+2ysKcrL4v2Y{T?D?fc2V&t$j#yB!EVhOkfKzs=2DN44s7UF4|4`%j9u(im@$)RTm zx|@R%4wHoIM_&y9Sf&H%{Is;RpOTWKL9l_aKzk?-o7M48RLX-q(c8c2=b0kD4Zo1k z#;pwzH1C9%vzB+bx$cfr?}g%v=A9$MDeY;61^*SG6q8YaLg{0bXMGABW3pwo=UQ~{ z+mO+cZKVUqAQW{?8NelzOo&kO^Yhb%JV$m^azeN)hXM``4qmidf~7Lu@@nYnlEu?2 z8lUY(nsCsn)oER>r0Ga5(|eB}!bjKpt%FnLCR&YdEc4(} zS^>1yake`v-#nQsEgV_jL#%nm92zP9Xl`!jV?lxuQB$KA8)u8suRZonB8u*G9h1{i z7hc>ocz^u2Z^V;@bc3u)rk&B>AlJv>C0iNBC9f}O1goAjD%Z4}sbW-2<;wo@rESM4 zC)Ly2+oV#@CofXY!07L29u5?=fHCQ21zfi}xF>bnL0S8}DrO)n2i3U<$`S+RRJ4w3bJQO}g0pcAj+oxhQ@A!d*JV z=)hNn1X|i62i$kf4i_ug?X5+_Ut(HZ4y`E6{w#n803AXM0ABts2+Ah?sUKYrUHQmN z&CGBgKUT5!c5~waRdbc)@OuuE-(`-gzn#wG!HJujo9E|F;Ny(9T9q8v6X28qCd_8x zBDS<9XUVMkpl>|G(@d8)7@ya?T(j=0Dv>;c!5h{nm^?#Kz@)liwDX znHfEA$G}{4!ii~QWQ3nde+_~%H3LH^seMzqsSaQiE&+i>X?In+{(b|%#XEpr+`SS63QcL9i zq#RD0=R*TF(kHA;TPXAGo*2if|5-<_UB88YAaTf>Y_{rpXZQ=-87_cNEJxPPmuErk z-wU#;oPq)-z#GPQHif&_ zoT0s?db(MF2uZtpYDXEKf9S-)q~>|C_RF52c9a$b0Q;Tazpk&IIJ@y~(n2elRLgIB zOhWRp-&_!GEvKzL!>^$?KtM>?rRP2mAyZ-j7t2dYt>P2FyUsB&x3si8Kt@i`RsaFV zvN!K_vV{^B;j*PVMQuxCVy%V%gL4ynWa4IjPlOBmguDJlzLl^x&sya*%E91v<74f` zB;mgxg#;PYtAel)hEbqqczAe7#lw?$adDwCySlpicd_-}bCK75PZweqMeZ(4q+%$1 ze+~l1@xzA?FRpDG(nY|IE&7A%xp)OG+=X^f&T$|w0N(DaT( zxvZp2n`Lf_^F1X+OQbieEyO#VcUHb)o0d{9@p=~)X7l5Ocl0x(ss}v7-DAJ`93VT= zcm`#9e*P4+C-krZ9q!ex7&a?Wu$bR5l!NkY%@T_(zOssnbllttk&%&cJb>-7_&buj zGhG?_;lqQyhHcizj~~mO{T(Ud+0;G}icafWdPjtEuT>e7ws03tlj2!rtCGdGN7?;@ z)$Y-wT&V|Fp2rUc3Q0Sz& z_Dr-D@hlh4zWnVJ6!J!u+8#cp(t9LCx%w|vzBh>p?%&tNfPgEj)IuI0dSdw#B+4P$ z?qF0`Jlt9pn$K3q z5WtwH96nKTCLK?p16Pin$z@_5UmtT!o~9r}cGxF*xUGB5{rTq}y9b>gYUzC$MnGmP zmgj1W@Wav8Pq}eC^jU^8UyI)fZ2H_WKj#X_`|YxF6rHLgCsClJp=q7w|FDWJb!b?! zqym5sc=WkHBN~%G$5fgIRyAja*8RZLA{bcXX z&MXiK9Pwr7L7R4|&0*#Ezp_A`;9Ms#X3k@Sk@ef`mWqi-Te-ji1RSQ!Y$iYP*Gld zv9*lyE0OU`eQ?Eb96}`0SSreaiv=R#@y(Wby=^9OYiWI*E!?gWUi+Z$vyzYq_rBB~nacRKxqN zhy^|U>H*II#E3JX z@20=l4T0_$a$@R=9*%&)s_r7!{#Q3wKn&UW95aaMr$u%ms+PPP6kPRwytD6n==w3) zP^OFChx4yWCee88Rg3;Rf#jc{jAEx_4Wvn_hu|}-OkgfONZnZ%$ZK#lE5bte@0@4V z;y?HA58wJZ|HakLUeM6n9G%@y?IQ-(8}A#V1sCoU^sG{`v~xPB^YCzx<=w;=Os{<9e{t*w zm?qpOjAdh0A+eA6AF;Du9PARJh1Q)#aYJ9Xfwgt`7Ze6#jb^)Jj4NVW*ItJg-Ac@9 zK3d=<7Oe`V_vHn`81&S8%7M8&E`laM?q2M5!3hPDYb=>?`sJ5g0y6-EeR&iZ=wdtk z#cdnUk>gD^LX)?*GD-~=-QwQTzJV=gBS2{3i1M~!EhJ61%Tug;btPk^(SR^LZuQ>? z;=YD?EFINAx!}Wti{#fo!nOfDtw2r+vMR)`tMBkxyU9`;BO)ixERjCU_$@FwNK|kS zvNF-_mi5HG=&LVTg!_^EJ@;7K0g8Hwl5$pr1l_y0Itc8yy~S&U>WiDh)GHLghvgmZ zvlj^r@z##^6TB~01#M&p2fmqjJT+Jl{ggdyv@!8)Qc_WFJXD#Gr+W#wfK&= zkqkFq5}mo)v?meocc~3lo8c@yL8N`J?X9*^`KBj+?8gdi7KPRVP8eurcS|WIKU1-I zRyI}!`V9U)3EfcTWPiE5bF>#gh}}RD!`sM(TRYZlCSJmp>TLzgFz1KYs36k zR$BEphZ)s3-sAePJ0~rhuOSP&H)g-)oE8|V*F8-oLgTbDMfLobadRX)Zh`ZBa=nh` z+!!A(n)glz*Rb!>1c!oh8cio@`{xFdbj`~xAY#CClvhN&_1OIA25UM{d<KHuY8kN05UeyBW{*k5VuX?}0>?_H&8#~aKnTSH- zON<{ZT-@b?3}OUA^QM{~6=*6ZpP5kyV+V2Qr5#;%AXHiDwz{<2)$$qe4x)M+?Gip; zK>(p%fppskb}njjR(>p#*n=M~qo`t-PY)$h;PF1O4n%B)!FgR0$20x&Xa}bPwT`pd zOO)vRR%O?XGi>S|;<_^}92!!gZ#LPJ@64#Bh@D--!z_TwPE)K zbd^Deqgk7Ktq{<|g3keZW~C_bzkbYDTuv)dP+&&mzel`Awz|1*Ko_TD$Xid1n~w&H za2IC5nAyea;OSm>B!|hiXCimb2B{A&-@Zd#*83uBQ3h|f$FM0=!5ws8{KUhBb+)<` zKHAjm6f?aZCW8f*|Na9K1M&5YHCR{IV%KjQUUzst$FRrj^TRHy@|U$=3z^fn=p(v2 z56%x)!rx@TKtGBQfB_!p`|SX&UPu@<^rFMmIFS?4|FD!DLrRG?i`H0x5SpBc4CX`w z&Wr-zE?OB9RW<*rFX7OVVEx!>Y&0`9pviJDo`^TGqr?j$N4^v~GyW%^9lXhY{r0?V z9OLS?RT{ygjpA|uaSd(;A}Cwt$xyMoI`@@xup{gUIw-Ft5ZQg-PzSr+iqfqx;%Txj zh30VmZfQyF_^d#Jd~qW?NvNxQ_j;jg9C9c3aEa@k-@bfp>orcCD87`_E{! zZtQIOlg|UpoTk7y@d4p7x$-)$z=M)8^j<{=PlYJIpV^qB7 zcCvZjUzu(Yyl|ez26CWS>o09i2)CeaODSagIoYf3OgZwE@IzJLd$OsT9~&alIniZW zAQb%J9~^2jhzGbJ1bkh0r;4E?GC}V?&Z6}XzgX*G!RH?ejZ=+?*jHt;lc zCHwf`+bwS$RB+Hgs)aI0x&8v~aCOUYLA_iCw%aZF+RzanOIxh))xc@Lf%;H?VoJCXElgWi)ciV!kzBUswxuFzxPXm%!Us=p`;P$ z4kKIKB`YzIU`@@cjmndfMmpHr65df9bz-fZCG+TYCt5g= z-GVF#8B!td2}F!2WZYw^a;3ssOVx=83oX-R782$m0kC#Ie&j;rZ`d>)=wO4dOH~hg z`U82*yzPw6T!UtXV}`3_Fazl;%mXMXj?j1MHE5|5vfEayizXHu`D`Eyx!$kaT9Iw` zwwUC3*q@3(mX`zjm+Y(!cJoEmYH(pu(L=m#@_Z*D4b#8&V~~E~I{UUm?^#*h*CDro z8{J-=VuJny(0_oY(eF4O(c6u2phRvHBk;kAD+IY-e+w(DBuYrfEmF=BIoTWzg1Q>-w#V|H zOzJvgahmu27!rXRFLjQq9#?1?GUiCzI-CPlE;ScB*VCnp*< zHa!hZ(3dY?*{Pc!-9^IDIy%ESga{xZEC^)HvAG zBm}-so`oXM}^z8_@2yZ#l21A(Z+ww(mGeK|>ia-q~jPkB2D@P5dNrh>J>N&oqn7DZP^gFoj zrHs71ARN7C8u&!rc1dHhsJ{s4QLvmg0#;FOe{^y(37AG=KoF(svewKouU++LrH?q6>VWb~4|&;9J8 z^zYjo{x*2&+v;~aFb%IT>-{rtk%7B_{Hq~Ac#*&LQ=vA`WCP8~!GPfY!GiaGIp}rLD`zS=IlXv7uK-K0wFX3p!H6F)3e-t~+MF%E*Kw(- zazI1|lpb`p6keNDK#}wtgRSYMippcQrUOLK9%TVEX~PB0$%9S}t;ZmT$tZ?BJhb>_ zW(&LM(g;rB#`?o z$#eF(8cA?tTtLamW&b(`q{u$4@>y`^Ys?80p`C9%*Z7z%t~}C@`4a7w&D_x_bY(tFqEicPxU7EuaF*#A)NdMvA31tB-#`aS<1pzDj~7o z-+#v5ji35GVuZKV@Dq~i;Pbjwrr|uwZPeHtZ5TJD^2*?`?CrRqBZ7WL51YwLM z@shQ{64ql_!Ze#BLdiu0UXNA=60U<-Qh}uP$9`+0nYRO;AseNF zGQR@jHwb7|x;F&BpzAt-QM z^T{Ienqj4af^;|*MoEf>s#Iav{t5)({7O8{xi@*`OXRSw^R~chC?yO7$aJ`bzYFtN zPTK|PHd!}TW_loLjhxYcL zGL6q^OKb(GXCurBKSK|&XqBU_eaV>@F-8CmcH#$?#0f$>LK-|xFG?nZ-BCv8*LxpG zg128ZV*;5w1eiMlxKaTCSJsjNrG(0nTMybuMRzt1WQ9*yRY-x2^x)foh_MR)RM7*D zbqj(F!-a3fL5C;huzG{|aXuDUPKiF!Cf}d`_)u`?O1ee2bs!rr`35M$`dDQVTmDggrp!7UFiWCCTw1)djaD;;1Va0!LTAp*>BTZU zecw*H^n+C~V(dEzYhN>KqYTb742QqB19ZRQh^Hwed;5FnOb*^qQV}**V2-uL;V452 zGiR2iW+)wkb{+v%@>ktO$MV?6!P1x~cE$yejS?TmXt+6(c>Si#z)4X^26m2CQ6l(Z zJ>6#C(K7;>*Y)H71DFO1ns?;?0j5EKU#yyZvU^VlP9I>6v#HFML}Ht~ZhU>Ti+y+Z z_A6vTOkhDZA+`G&HY#2~&Pi+$0kO+idB)*?)J>xAl%aY&2Hg7a)boI$v)3LZk6Ztl zCl4^QH&!p1V41fsVsFF%WOOPA+l%c)`zuNe!KHYex$By>En9u9@t6KW%TdXp{ogRDR zzd8IK5Fr0JG+tTAm=oaJv<};A(>C6RpcCf1suu?T1;_{Rm|>^a%HXz!U8@)#nr8eC zQ1*qhWUpoQmq_I(eFPL;l&}tr-F8@g2m5yQRnBwpo)l%61Vl0AfXcED61kzBoErCL zV~S|GgTB?j@R7#^O0RABYloRJ6^X3^P}T`?RguH)bsI8(AAvi);s;)&*Lyeg1w=-% z5e*PSR4nEfTJdeu#^4@GB9$%kM&R)5q`~276-(-+4`U8c(;q>pdICUm5IYBf${Ko+ zKAz^*`;}K~XE(4EMu4hSLb0qTlb18v%LFk&hy7#rf;Tn(_cj$mE^8!Q-=7X`8+;&u z+G1<6LuBI)jfY1-ck1_mC0Pz(Fa8)HgTyQRrOu%k#3vJT}YSVy)yg{|c zBw&D{@8`gUrt-KCvQVSDgAQl`LlUe7?RqFL&AmsI*IOpUB$pNhVTkH$SjyJrl!sH* zF~S_svN<1gFhYmsi_YvSd-(cRM9cAAThOvgL&_Mp0A zds^6N>l}~;LYJ{bJ}|e0v4y3|gmI0Gvz7qY=uZN<<>r2WG|jZn3B+aLI%-EkA#K-x&}aK}7^ZmJetPCm-+eK6@4h#Cs|cSy={V zz40HddC9i8KNR7?nFm0-r|hXH=sc6dK-ZU=skRM-C0*%Uq~2b();_2mH}Afvn5UEh zNyfpXMPCYMUf)@#cJ( zWP*f!pi@`s-`WeDOIIovQ69{BY)_V2OqChs*5HuxL~`3q=&DfxVY!5q)W}y!4AAdv z2V3g3&HA4mSjp%47d5X(jJx~U!O0`EP4@mCHOV-}Y(8Iw6uuA@G5Pv`_gI;W#?H#h z*Z~$V)Rp-EZmhQaAB|Pqw|6%Jg<3cdcVWTxpDu!d@5sdV3Whj(cG2TaVP#&vz-=Ew zs-yldF#W9*Xw220PUwUKDKaRr`m#i`Kx_SY#-=pmTsTJbjt>H-y@5!m1vi(jiJeE+ z|8Y7-piuZdYiUZ`e>hK1E>4m1qhbSx~p>4mI>Z$FR!Q>ZonS^)}f zFtw8}S@30>uS}E56N_xo2IK)1TF{YcM5#epO6d$=Bly9aHD>#N#ptCqUoqRCQc(qh zR-O8+$hy$`RDKIblqs%35Z-dCuG#G6<6jy;%B#l0QyldC+2_9UmS9|@>3Be}2~1x= za3u6gF@m!i;<-3ga+zVsuv^tl3sFhfA~!*T=o~5O?^S(3YA2_VJhqwMPN#qLOsIg zbK;;L`1$iEcq9X8-$xqV_apeY^2?&X{bYEgv=_RT^<^AZ$@Dmu8mI>bq(vDjfrtrG z-uusw-TtzFeE5=}U7SL6u&$Akw}@C_6`L{Yvv*IC};1p!lH;9xcz6A(ru z?E%X4C*L#*A3>!j5B}}lgs#|%8t6}N6Mpjl1CndbXZciAXVua~n8K|wlN(5xu3+qn zuX+a+i<(LlBd+BIs0;Xe+uLWJtidIX<>;OL8NHw5;VOS`qgGO9>cETY`3jJSuF|)w z7KQo>VHjtUEqpEC2bd~f51sj_F*z;0)H_jp!$?&gH`aN6hBpq|C@@{~b= zjyhvm_rBQIFJ}JiWM%vV0Ku&>>+>+FmO2e^o(vCO%L*0okLB#WHjEt^AS+np6!;YG z@%heHjCekm5gX~dZ~fb2OxX-D%9Sf=fTZvDsf8Td9)JN{#`Y)Q1ef8q>q*UBT21_& z;96S;BSw7QAbddH#W%?fQiiN^E}x)H)%Sr#=V1DQ_9f5EC2UWJ>HL$A z0+Pr_3+OQ|TZmn4u)_$iD+1|~Xo~0ajTq{nUxLRnZ&)1%G6ACwNKk@FVoDAFz70tH zRJ){B&8i<|d3?YZj84^ylZkp`7+b;p_hElS(6>i5KGxt;IZ^EXLacB0XMzD>o^T@; zT8|t)_6V7PzZFm}Bn1W?xxxSn0HibJ%oTcnS2YOj{{z_DBAq|1kT>VudzuDO)|Gu#EbPKZ$(3=&Y`3)#GH8!v{gGQs*Y!518_$(X=aFfO%EuB?0 zFKH@?030_83{U_ZKsWhcgag=f<>>!Hx9fu0$NXeg-uIp8sD2?Psl@6X<9h#vQV+>S zb?9tnER*Sc!0kG)f?4(t4ax)yasNX)h3>hPF59>u)7L*kXI62X{}{TJg^Jy;LA|o2 z&2t3Ld{vBaajgLY;gn*DOwJat*nUFPZ0MMxM9sU~yu9kurp_cA0yy+9= ztcSDsu@2dvk`1&J(E`46K298fdC+MtO9A%;b8L}p)czyBUKTUYNcFTjmO z%~|`2Fv$+|lw#4rH7W=Powu!@~LA^=uT|Cfp;Dojnxqm1%NXcaOf9|DswT)^RufPKcbY+KzOCtlxD+rdi$-$?Kr zF|aVjfK&n1L+dJru@S0sI+hwjrj*_hJi@Ao#lgPj!#uq1wPk?K9>KhjI6*;C=xf|)!IFnP1UgR#hv zd+0lY3nDvXJn-u#`8$}pz05pfek;JRVQMOAzfbF(U*f?ASr?@Av*&@S2f#cG;h^XP zfk=lE`;qoq>b=do-q{hpp`_-&{7to9S>VE@i-Y5kRv7-L&?wo9rQV|-8cgewa(S>+ zz3=Ws%Q*>N1e(pUTf=*D2ROm$TvNBr(2?Nl&NlPU>+me8wPe6sm0p08gB-wXswuk{ zYrs|5hiN78ztO;Q&&p&@!$E-gByCtiUdjV z>(5M79Z^mY-SfYOhPpo;8jM)PHhX-&jR5R~0KQBB2zNm#47sejrLO@!jxA1GgnWEA z-&;d~&VkF$H!M6PU?RIgj^5?@_nO%&$q|tv5e6mv1E5O>2}uHMU(1lMs{TJ6ow>x? z{y(7jM1YjuK(mvo8$0F-UUd7fdHE1A7Vq6gad+0cUyN7oCt8sjx4mKYJ?@A zesB^n0Dj9~@K5=v_@6m1z-v}mj~5)*C<5JRqK+L9FJWsIs{@d&X5NU5K>(Ea(7f#M z@UYKWN<(Ku^~!=+xWP;P8jxMOCF|WCNK<)#bS+2fZWIl*pBP8~|H0@lW^cfxTO=uO zG&Iful&OxhwzZC{QM?skR^v}1Lkaa)oDWqYpviNV3tXaG63h-B)(&UDJe)i2u*pQt zoFr8UwIbz2B*(!hpx4Rf&vbrgxf<84v2dG``Vc@!f4*M$8H74otix;GpZeDN8qo0F zeSK@&rLC;fJjNXlA({AGJ$_^E|DK=&n!C3*0XZ8*7YsKCIAIN#b_S+Ug2csaUy9i; zGV9+n!Q3bNty6o-)ku5z2wCOKy z%6-MSA=69kNVZcS)# zaBQmfXO;OP#gNr$+@4ApP2M=Fm&+k5My z95MkVC8e>6Nq9^QTeYx=NG6!()~FBjyS)Nk2{7!fHzv|4d4VF9R|x81FhT^bE&=aJ zvVXDEQ^Fl~rh{J?KG(aoaPmsYIfXvOfyqUJ zm#<3xId&yzCpJRu#2Z&sSw4r6x%W9r2L(H%phD{cjU$hZ6bl(}VdCUjje6qfB%}l= zJAm+--$Ee~3=$<3m4a3bD20-{yJbLag!&Q;^QZ9IQ}|!cE_!U`=UI+^#{we>(4-GF zwxX`oSni`SvKKf%qf4`o0WnKUO~}YoK{a`5Iq(ZB6jGL8?C-{mdpQoi`1m<*WVNjB zc~tw#N=pWIp+U$Q%~B%7jl^1i0&?+BDZM>CwVXha1(1=Eo9s%6wJ8}v?DK86h+|g^ zA=5mF&sK||f8{6SAt?xh>VUpEM3C+w0A5W~Mb5R47D8U*V+<8qig#R3KTc#L704>J z$x!Bqry@^fuTq6nRDjy}7%D`<$SM^mX&vML(1qx)?&MnnTrfsHJbW=#R5X(^P&<2) zo~kAa!kr$FPTHs7xCwt@SYgx-Mgf|{XRu7YbQ!xqkbXKwK^)(;7R0*|r-DD*xq`5M z4v8Y!NMhMjgSeQim5jIEAOH(Rf+e%2@wzk**SE+58eT~Dzwo|2qkxaf1Yz3R0LTb; z<(E#-pb%{B`c{F{tJ=EzFQOo4%Y=})iZ4hAXWYB!Mo9s}lzuvvkcFa{3E)EF>KH!t zf7xx$$pDdf_z0cZ_FfMXe68{#^fnVU+fkPzHi~B3%`|isom5-m`DrEhT0)U7LxGDHe0s?VIT9`N~xz9N{j@tjEd#j)J&La+65+{VunD{`@{ zACJ6h(5boyXLGD`Yu=t*>jX;nnGqdmGm|Z1P4)%a0iTKu8++Q$KIOlIXLC+rvb(Sf zCJxfYEuz9~s$aTPeu-mZZ`KJOVsGop`I!41%$r_oUQ+wqyIXQU+|z`5xGKHanS7mW zlFMeh3noDIwUy38-j4K_9AD+JF$wBb>g)Wm2VlyUk^!f!h&2EqzUF06B6KV11>#b4 zTuwVZ@y#`~&-j6k9Q%vA8qHOWTS)SOq3Dz630vUc_SQvBjP~V-j(F>KN+AHw3Qa;7 zoKskUmEJVLiDqL=9nW|*OlkbRYSFWmx1~;i`0>cKocnJdb$$v z&O5>RWcGe`nM_kjVvTy8UVeU(7&u z>RJx)cMXn2a=5*A=y8P%O!2IB=x3rh!=>k-qu;c5I#5}~#~XMx1OSayhZGMpabJo2 zG0KGpW81$2QeG6sC^Q#qG&<-~hRT7h03iJWf>$lzSFJm)A<2Dnzf^2*nu@{C=C~J1 zLH<=6hH~LKt57gi36}3Iw}@QY^}Z8DwdR#!@-z@~kORmCV3~kD)voXW+jTT3Dq7V@ z0pmPRO~U6*CCU9&+7#)=my1&6Ewp_vxE$XF2IjTkiGLduexjZEFx|-eS-F$vhl`xy z;#*+)XW`8N6T2`C>Ej=lpPqv_GdEef|4Ty^sFdo?rK5VlZ_nvu$2|KE=gWKY44osC z(@DO%Tzd&z2fCo?Q#*XIvQ|U|E#Mcv86pUrf&s!fcNLFQe?zC+?MWQ+^XHR1dA&ec z5q&Qa+6ZKU56C06mSo^dskjPCFF(Bu1Wd)6aepiMW6{u-^PgeFkVmR8G7{%qn(aIK zv6A%J4GyO}&j7W2t10b53-~#-f;4e{$U3v-cp@#hH{#3pac$q_^Ql)_qRrRw=f#|` z&1-LECirau&6%e>%*pPn&HEKNB)yvUHRQn47(nd{#MHclLD)3?K=hU~13FdkB;PLi z?@weDdW0;*x`5DfIM4N=Zv;wZ#L3X*C-8H(EWVHZyvPOgkXJ>Z_HispJP2l|*AYm4 zjx}U|+WaPbWQ<<5(9s;8*^-N;{m$f|1U=8X*0IH+hX13I^A2lj>(V%)*iaCq ziw&-zf)o)(yItWT0putbktBIA<~4v ztfP0nx$}(QJTv(Vcn&%H?7h$0Ywz{GzsY?aO1$f9$W|q&^bu(7<2kLLyQbW%+1Qd! zj^jMu(HBC@7L49y-Is=!9+E^QrLcy02F{%Jd@aK79=j}l+R@2f1I9kRmNrtNCIDm2 zEMGzy;nS#UZ>SD9?FmeGl!B-*KURuCRnxo0)lR3Q`surOC9tZcBjxR&mO{l{#c7ss zhozS4aX10H`X($QCW^+j`%vIRb^P4Es`feG z9i$*rZcG>Q=URH#nko0qUYc?vGHr|UF(bnz3zoNCF-1P^VD!4PZX9vJZNfc7HqU-_ z?|eb+nU0xYAQl8Rm?wb}5IOH?ByzC`Dd6LR`59rC|ZQNoe{gUNB)DbTiW`pHQ>-Vio(N0%J2R%9>zRN;MV z9`YU9=8miqdA@Q9{Wh>n2J-#{0s^MgprdoOV_XXwmk)m; z!SF0~+Da^UKOVn7QfrLNrKiS#i=s7%u^{F{F)w@AhY9Q5K_+?qz>L@6cLDAM$(rn- zAWvkWIs0_;;nIIq)P#kLeupR#(X$iIL#7cKB9JGprq!Ohzi6MFoIJ;1h=7R)eEm@r zpN3!_*uafZspkP5ga-q;7IXa{MHQk=gdUY=nD;NHvSk_~77OYw{oglez^Ah6&d>!P zU{KipGxPQPbmkBr{;jwEdb9ri{*dz?FIrw%F__J$XUHL?x!Sw8q44%p;bo`aXW)~3 z$*G`?fe-%`0J0Eu37F5nw7$@{UOhAH^$f%+r@&u>7~!D4(njzYYJ$p&R#D;Kbrkhx z1FtB^EumW~VFUDwJ=JlBGN`q>(6hi0B7;Zg7<@iP69`v8wsO+=&s(jrGWG+d`2)t_ zPKJ%1MA3xtGM6PItx*ZB9E%sOp z=EA*u3M>Z{-9JG;-ujTN(MnL{1J>2nUHrA+*=sjx0sr214h~5pfPJ079UI#*CHEja z<;NM3dVPw)WReM>DyD4SNs~XiCoS4Iex;O1fn8BtMn(qd)fEP{tJ?cM7|eF`WsLrHPM) zV!#-(swPSAf|>@H8f~qbpOwG=!gj;)ZVspe;adzQO;q(?T^@yj8wD(c1u&8>6O~?o z|6KHPEDOr12ZT!1sZ1!A^w;>Fg)7bA3Z#-!xk{^0TAO=!)Zvv*A{q33P#@%k8p;4* zY`|sud`3Uj6ww$;1n85HO|iP2dYa>oO~}arKo97xvh7bIBkPXFnAQOXCnz*@%i*I( z)4F3NKuaiLRPYFjG>pdmP94AsyXn1Pus-+r?DId-`1#)ee8CB(Qt%OWRo(Zvo@06u z>L{6`dm6?A+yduvo|Fstn6OlB*dvixuT3IwRA4j4(%O2jkkDmK&8_Foor5#ZqFE|> zuFaw&Yuf+=IV*(2LL@82?fAn6Q9D(E84FcD2#ddZY8>QXHruxcxNB_Yo*D&YTLiLN zq#zPI=aIZ0;p3V(5>;m(t5pR)iDJDU4MG*5)rlZ~yjgwsqV88&I7xy$s+OIFcr&;W@WEa0a9wp|k%8GIkJThz;f|%uy4l>vGZgA%@}0!#7LhZJbBt zxBqCAAhHDPaOB9|rr39;O}2;|-hqQ~-HTu`^?}oTN*0Sd;Pt%%NGpAk%!vLlUhCM3 z*pF`y0gw~1i3Dm?=bsY*qz%HvOcPzFr0hhsx3+L544ZxA5i_lPZ+GmSFFZUc{_{Ua zU_T)&*J$S!-c&HghEZk@|H_t`eVfi2k{y~@MJ{YJc8`xtZ29YYCFiu!S-z6OSfb+Z+9h$m7{zC3{`!Jv!TP}<$?jLhtcLg_GybEw$(wZjw2=ctu6Eu|!JO5S z!t^KaXr{XqQ9DC?B)7cN{Z1_?7FZk}#`d;T?^vM7*m$#T6$fTkik7IO+7i8;es6AW zhB123xTmAO>}Jiy5A8`B6v2nSB6*X!@?1J88<`CZH`pu2zLh5LLj_{rJc1H>&S7d}UvbqT>di)|;ds^pWBnsKI6S*{1?R(SDU?xrsGMz0&4*KN zQ&@<9n?RE2OPOw|dkZ@36zkbP&Tv1?Ycp}}mD=Z_?)>_FQ-!EqOK z9TpobBkKQ2By3F&-xSDL=$1hl`w3QVZr&kpbF;ygbwNH*XZwb;I+~29K%U`ek<8+mi_`0Vp9d)wbCyc6p-A(0Qjz0w&bc6laKL1mrKds&zVUNqq`?X2tDZ+|kK@El!SLECJ3kz%tYUe?Kwrz+Z& zUB^T6e8~;ZjiF7{p}-TFA9)LeM9}a#eQ7V`!M*gtf94&-H#i ztoyc{Jj54ekM)ad`O9#4^`)8R?u0IOnEPB@V(~GI<_k>GJ-uaX#SMdX?R{EPGnuG# zoog0Jfec2{+K0%r?>Ahk5awm+Q`w4uGj_PqMUHJp&%HxgFlYKs`JVr9Z8wjDQ^E(L zi;qW=w{Fv-&3aC#1J4j2&sqXwHZwBu#=N4WS18ZqQA0JPBU8WFUfNuC;k(oYkof+e z*q%RH`b$pbzk`C}TkYF4KRh1*jWpm9;KO6ER&`@d*+&H+pCDys0X~d$*?*I7UZ z1&&Ai>irPsqzmJsz|w=PKvY_K4=lhAt8Gxw78ds3yp3ZIH}^G%Rkx!=pHKyrCF&$8 zV;tuTzsTXe0?nR8MQH%sB+s~gBQ=<0Y6j~m_~DZq7Y}iBe|oyXMQrMd&?QmVm6-f) zUbObEi2PUKxs~GL4c|H-ef#HQ@QqAQw*b}wB&v;JwUryhDu=MXOt-SH&M`Q{tOC-6HZ@lQ6zxcT&$ctwh0?Q#&tmu;m6Qwz zH4pvMGaZD%v~{;&{rjgPfR2s}^vmONYO7!}DO3Nb;B`|p}qs4P$n-601 z;r7oWBlQaY1b9sJiJXLl1R-;Cb5D@Ri+2wVk`G;5=MO1sL7M^rai5s>Cu*XvC>$Nv z)v1EfT2ot_j2|A?rskg@8MYoEn}zV6^ju$|8kIO6fOL2q7&O$W%v@{u*{awh{l`OK z;JV?DKFkF}z+gF)yU!XsD(aI{bV&=eK}xK&nd)l?$o)5lxWNXgRF5 zVAsvRL1P>3D*2<7s}K1szhw!97Imw-^{`8;tj-j=P)aE)iY6N29|-M9X8fAQ#&MhY z#jj_foc4RDMDU>=nCRHP4hI0EgjJ!;}Xs|0A{oWFJ_hE)IIaX&3b?MRzT60? zIe`p*1Zbop3JT?|#k7006Sz=l84GYaNih1cG8UQvf5kf=RJJbu5&|5KOH6y>;D)E6OB_(v&ISN9lrV&_yp${IgSU^t&n(;SUL?~M$ww$B0 zOEVuWmRDC1c7*)iefz>ZhQ0fMmMpKr{H9;Xkz@+*CfIx$mS+mvL*Yf{uVF66)B7zV z1Rmsrp$NIc$jGP>syJcrc!Ce;5F_@3SLpQO*I_6Az}3XF?=se8$|-1M*AfOt*%mAF zpEWOCy42({)%`kBp62y;oJ4A97N47=8X?4mwZ)&=ucJhNWL9Jx29+#U2?*E%f`cExFvofZ=YaEiMzUh2KyNli3hM|euE9Av zUBxPp^dh0M`FGtb7A z%o(Kl64U)G;|Pz?cASiaN2)e;4typOE30W>d1~Y_G}WEgaO9_X(}E2a`3EQ02<;#J z8hFSl4bs8HNLZV=oORv43;bB6IDd)l{{JuSusMQH%c`$!GOM|#P-ZSr%vmmKXshR_ H-tzwsNc2<7 literal 0 HcmV?d00001 diff --git a/doc/LectureNotes/_build/html/_images/week35_181_1.png b/doc/LectureNotes/_build/html/_images/week35_181_1.png new file mode 100644 index 0000000000000000000000000000000000000000..a1fd46ceb8d88dda39ea721fbe1fb12cd4d02161 GIT binary patch literal 27987 zcmbTe1yoh*+b;?z22x5$BL*cQ-61KRDkVq>A`Q}E&=Ml4l$3z9w4`)5(%s!%_nG)V z-?`@-=iG6|9b@mo-YnK!bH48rzj)r|t0*stg+YRWf`Wo2^+Ze=1qF=|1qC(c+7cZ_XqEp2$2 zna%#|511^hjhF{?x60un*Dar@+n}J}=pz53rV6FJMnN&Hk`jBY>JYs;YVUymbiZnI z{Z-Gy`$?$pJ>;)l#uW{rm-~6GJM`!GYtoK4OWBj9@CfifZ(Tw~r<1<^-S)HgeGigb zCU-o9od#Jeg|>b%%iMZ$r!>l1up=*MZKZWI&s%P8W{l5X)h~he8kGmG$jqgOGFR`w zfA}PbV%)g+4JjQ1{QtFJi=-U*K_ylZTn#@wa1SN^Pk)fhxlg*Z>tsIq+w;?>8}wn# zBNoiaC5^t*V)**{hBCb%d6*u3{Ge4^ZRGdc8$v=tHkFykwYUE4F89-E7MccTN0sMT zT3Mm8Ub1=nwynsHg9K~1$Rb59igRFKU`DgFI&x;v<$nJhl_MukQ=VfaYsdBL*AEU4 ziQA`nSe$h?Ee~q?`Z&gK+>n%%)Ozt^R_2Y!7o+W9ttjuALH_$4bGm{2LS`f%WykRU z_m7mXFv-JOfJ)PAy0V%t(^XEidP>6@7`Mnv9F!o)AG zzDq~vOUh;bomM(FPz4{Il9Dn@r;@3%O!mo^sh~Jxe_&wX!O@W(TxU_y1D9I$JI0L| z`Gx>eE=yb6+MXUZg-Y37CjlubDQ-SKA*)I3O&7RJ6;q8?74gv(6cotF$hK@Vw6kgM-Mi%M?0lGPh&(Hubcvm%WmSE>SNij8 z62TDM1Y`Qom6?7bMcKI3YP!sU9=IjdEI;8}UMKl7qfNaJSLPFm1YN4C^0}e~n z=VBwGDILS#h&mEpl-h|&O5za^)cwuWeBG6Reow;xyM9BUae+oiWhH#llw8X50Ur1J z&u(*CFDUz~x4RC~S$m2b5146xD-0RCfy1J=OXtMQUn|pNcZ-D3tb4y8FR!Md!JE~v zS+U6ch2ZIq3a9xJXt+5l~jGDK|$Xb8DU4GZvvO3ouBcrB9 z)Dq69Ki?kXPtHg9P9lJW#i*SO!q7J`keZkG8;gED%IDzVKS@#{+^$FLq@1RASXsZI zUb+&wn+N+q8!1wg@U_eqD`uZOeuT>T*;s0`?gs|DwTFr~3>So$17N@C+?mY1d)99OjJ} zM~y7NZ(3eYA~5@*u&oP;OGcPi7x`urZRXo=;^J2Ir9Xc?ULo-K@#B-T<8?A2w`fYY1Jns$duus) z`5#ajAanBc>M#N+1e%X_m*2Ni-GX4Q>n|byWbC+ujZ(VgXw{kawD9=r_Q-PsFOf2> z73-3?!!@NGn|b;6Xr7u>r9^JK6(Wty@ULt}B;lNAt3~7fdqo8WZPv~!+w&cGq@*pq zX)2rB+m|K=a`op9Q6Tm)GKwRkE;H!(WnwcOX|fE@3(eS4v(H~FS=qvRV9_T=o`5@P zC^}ruB4{IWTW5=liz5}TQBhnL)>F0DsTE>nBbZ(+4CLNBJ=#swtMh}@s5oBZ%hD>T zhE+SO#3{Gtgx`qYx?Y98i!i$o57b3DB1}d0~~Me zB(I5<-D}NaxvaXxa2$Cw5)pG(MJ+W`)!*zX>Kz%Y&5gri`S;XOWw%I3{Iau|&(6;B z-}DDUrn1{d?IM-Y{aeSCKPpNEnmJo9jI0I<83_61a1+8&P7S(sXye zVkH${oMjn<1nPBhNy$x0%AoZ0^sYCrU%wWUkhq15`+0ttetFmF)~#FI4vd~sQ60oD zte2Kwb-+#M-`Hx4=unInXw8H7jAVA#`e|gv&Cd^qvXfvz*NAsL-h=j_#v6TCW-Ho# zZN#U_TuDXxb1hXIm+{6LKay4(M%-3XX|gz7EPFmA_D0?=0{a4sC#R`**&3$e?H&u} zV{OeoF(6~{eeFuo~QS8lD#U!OU=Vl`78-hRzJ8v>ea-zu++x# z)lQu;cYps9A>QsPo|W^iRX5m+Kp?gv5xSa^PX_5GMnO&feX(K{y~Uz|q0{Vr1+(P4 z_p4$U=W`Y)dp#@NpCSu(rI0yBtj+ank&Tb(?I&Rq5e#HXd;hvFMzN;Syk%tNtpc?9 z^r24I?(A@EI>~=!8$B|i-^SR0S-P%9;Q6($c_amI|HL%i@q~00RF7~tW)c(;nK)%lq#375G)bQH}Z^9TI=(U5A&31ZjrJfCx85SUl-=3vay+Nu=v@UQK3f~Fo9QG9HmS+ z1B>bQ{(i@LBt|ma74a;3RZkCI0q?S$F4EGX#iDt9=6_`tKhWIvwt4DQuxhdRdF#G{ zXC0;c$>ZTdGsn~2{=qyW9K+_&$@2X%{f&t~JQN|ZvGPt%zb73> z>;fF)R8CQ@9T(B*;LsA{-4GR$KszurG&MVGm|t$#5`OvWRW|26Q;kB?CMa9P947dQ z5&>w9)}MB&tG+lgnM2${xA#l<-eruT`sZ|GzjL}WNbKwj|9qf)`s~U8m8!hg@LK0o z`cuc|uXNkd!<^fyYFZ`Mo`>7>Y)(7INZSh}GCcnh8#*q%U&d%%8y67)gBB0 zl*R)S6E_`#3ko;{1qJUvcn};M{62v;>Gjs$4UXNhkNm4~c+R8`Rez2!djIS)?ldXz zN?4@Id?q6yaRu^{LH(CUgtn6}bR;6{-GehvDLuV}WKmj9Kj|zsR@NtSa)#?;$h@6w@O)@!sMcykO0`IKze={Y z0F*pT;TYbx+|GLpP*po}a}H)g6o>?z@-LRz&CM69_3AfHGmVKg^WXXn*cwIVjP|4KR88AGp@>eaJ93?!#T(hjbzUAHf)c2>RmcB4odXSrLab8)OnGs8t z_B8sN1sU)`|GX?dRNl*hCY8nY@q6uG$FH~W525KHRXv18;fG`p1sRXE2l@@doR@#l zLN2E$r&$Y-#rH3F4gIvrFJQ`X9~~STB5b}Mg;d1(+QM1eXRFhHA96--QHp&07QjH> zZPV04d{B2=#{eQSL!-d&`}aH0oob_bY#gQoxMT@*f~VHkJI2bLOB}bUb8~aUu_dAK zd5)IceC+8icx6K4kRspR=$Gd`CpX8nH;d2}$@%Qq#TmrMYJKq>=VRyTn4z1aBaB4_7=x}9g1a%=$*&A!|L1# zC-*LDqOJtjy&9|kD#2zKC0Ix50x?JWLfURLYKQuHJ7?jt8oiCL$Yr3PadO-PJe0df^ko`g-{Orvk@Z zTF31g^UbmmWhDR7^bep%4&**aOwA}4i(ivwX8Iog8W6zr5 zYs`&BS()Ifla|0iaM5Cf@3xcG+6+D$`I0%XN-W$_=!#rbDhTNnx@f$a;d%Pr6XBRe z0^fHtcEhoo7?N@x;e|=pd0~-SyNr&H$MM+AMKZ=3ZNesRwDYYK#Xj__{!ArmX>Tu? ztZcQ^OZSb-qP;QrUfiKTIMWMh-&+r2h1531E?vQ#=zFfy7EuU5dt+y3X09#jusar4 zyw2i$@yYBHa$*z3AQG?AqPS#H)*EyTTaRUBG1tqsv1gmZYTDbeflmz;nzaa>pXe`k zZneem*&pl;TO2~+z#JA46-BUr6sOr;0M`(5Kn5BBTVo#26uev-%%i!@tlg?&+M(GR zIlMMns+6Y6@31jZGPJqB5BE$g097PP=<(e9h=|(&APh%}tzNlXP+|Nme^W`bk)4j> zQADrMvsS}M7JS%9_Q|C)QmlYRt%Xq)K4-`yObJ&P?Z$8fb zhi;7*G_jD+pHYOx#4cA2xUKF2 zn~UasOF!H{Jv~j#YH&?kTf6x8@9tlQGKqYN5@KSV$uhUg%FC_n?B-yfXR<5LSWRkR z^Rp|C{GcgJ%+1wL{P~C_iUoZ$(P?)HkarJM;e^D*xC5T&+1heIeXu&NVv{uy zyy;g=Q-zhdR9}7-P{RCDU%EdDNAt$*-5!2Hd{(y;2b2D+HYjJXBMohB0ovtG!I6>I z4D1%y2lKowDo_7zP$(%Wp?G+E_f)t#N5{l$?(O}s7_X?UuO}HYA1mXj@y0RQS?CI- zf9eODf5~!hMV;4n;az(ALtuF9ue&{be6H140Y-?2yB!!FR>{=hfCw~lV5Fx9hFb@B z^ct$*-rinss#1+*%5Z8btwz2vs&Lbn2M{lSOeWGCn|wjdfPU)bosvSs8xvSG=Je^^ zI~1VbsTu|J<8H^Rc*E+Yc8nZv{?`8agNlQLqfuZYZf$LyCCDb+_Kjn6b5r;9Xo|&) zp*Dm}eFycKljl`=Mg5}>cZ&@6d+=8j(xu)vCEFCF6DZyl8b9vQe7U^SI|@$=`|zs9 z3ya;j6NQhjlx8iP7UP~|paJ}9WxO)3IqacPse(5)Ipm-bL?xi=%^n4z&8-$@o6RZl zk=kV-#rh}}!Z|@ zVm7r37oKO&o|PTWMZy1h>9`#}7>-;YuT%hfySvoKW*Wt2gdIlzRPWCRbTR=a_TkFV z{!C3tOUp;1UYIOL>Acx@@7^8A(Y*wTIRya;`|~kPC1q>3UuPSbl{MVkhYuejAskU+ zV`D)k=*duLgB)nhP|pL1F`F19m;fzlWu&C1bMKd73lXm^ErgV?5RL>8&*Rb(? z_G`6$ePNfbVt?;5K~*cZq?)b|n1-lJk&oex=6C$^=i}9B=z`~Gr&z0Q2b12dU)j8? zs)Ru!5QiZ3_4lvs=m;8jKaT;m%4)J29auV+06Vn9S6eep3auBqMR!sY-hS8eZYZN> zIBau(a8VUOyUnfpah(D8h^Rl+On5B@4q_QS+rdp3ahOZ+gly>-Ws3cEsEp0 zf8PU^pT)TIJ54=}n3A2|u=UVuyDuBRzSV?D_T;=ugz8<3zfzrmn^Rc$YOy;RlY&1I zU}-RD3f-_M5VPW$8U_A)eI^Av%l$zhpjd&NLDo=XzdBS02-?Tjmj$1m?N#ebh>46B zrQuYfUbtjrvX+)PlaWZ$f~>aPK0)23qhrkEc%!o`|IOD5{Z-WLJ|;96iiCN z5liLvcEC4E_@3R#=g((KN=hcDraow7);BcJ3{OKWDW&&$RsM_%)6O=68wFT}(phAo zb9Q!YQE_(kW@KapQ5w3sx)ucHI^q;Yf4>co@BMU}xgJ&-e!$8RpwK`4SqtqL>)7RJ zF$JPE*J;-TFdGWyF`Dc*c3*g&t)VyBsJOVe!VV7HLZ>?+T~c-j8t1H4sHkN84xeEo85^oa()*APQ>t)rypwnJZgyOW>{nKZ8&;WP5&YX-{Y*-e zaY3lu%l%P*Pleo@Z;Gq@VPY^PV{^u~ew^JO@;TBc{nMw(hz*-cd#1O`e*>_|d2=kr z1i;;q+Ph0}hTbkXDGvw~d)=L_t6FN7 zK#x$*H@*o)9=Sh%e@rOdF=nKH{`@IB*=p&{P!B0I8}9xgNBY}-T^_3E_Rd#wGO{O9 zQjSwb_z9`f3UZSN6VG!u3zA*x{K_7^{E;mBEAqn&wN%v-l0X#U?5m_N=FSe4)MkRq z%LOtui+;eWx*X0%l%4Jk`;&6DFGRR4|IJh{Fd=~61DJBGF_*DiJ19FlTUYB$3Fo}} zbfX4mu+WSYvf(={H8(eRXSuUID=Vx2p1pPRx5@^EZ=gtbuExZ8)1)8ouN%?XwNjNj z>^hy|1woG6F7^6?>|yBG*5BX1aSkgeg(pc_F<Z4#@+OxakNJBgaA;QnwqNS8h5Fgtntn>Q^|am2NVOFg1-?e!r@x!`oT(G z2e-??qrkwg=yv9UHd3us(eGiBAVL4h>hl_Fx3pr)|TtHhoMwDC7bI|Y5(KS7K z%~JU^L+vK;A_%s;=-Sx&zkdm1(T;?4q6Pvs~z;0?LG8aQ4>yZv>=vq|C8r!O#C>251WGpRb?aT~1EIa_x>B-5Q@ypAzlY#}JP6 z@Of5_>#^MxERvmC5hJKg_wV2DOn=S{WVjw~5NVyanY2(?vz5QH8v5yWFF;XK`(AMZ5IFy2|AhhzpYaqqyL(xV20>Cu$M{FrcNtUo*L;0__ zdk;KlrOhS0rgx_4doiNZO+<^NDm8fTe+sFd;^E=rQ>k=webo^w2d(uw2FBDU=8Bgf zg1DTY?hjJ*Kn{V>Eiqohy+0z`3xRKX-+_kog*Jbpq#!p7d-m6v-fgP{!S zUqJZoN>iZ$;4TCAB)7-ojY(V$x3#TRCL7Hi44Xv%EW`Mh`4$M`-=C#l$HYWbMW}g7 zzinS*lX1V3Pf0WzF1(D6&Z1X)4SGu~_tl1)nva0~zl4U0!D2d0dftYnA0NLz1(4!Z zSAsahi{GK&INl&_6X74i!ta#$R8r&(VF5stK_V3-PGcfvdI)ViYT1eDAffu<;bG%n zW^NAqqxO!g1^o*^8K7a#15K4Eza0by6e4%zTa3rTV{RPI$FbSW$!a^!hH1Iafq|n8 zQf-QM?p-mZgdP(f{$IB#u3L5xEOn^ASYcvp3zT;3p7?zo;sa2#go_J*R#uioc5-s^ zO=4mxVPWA|8jQJD2~iGqehHo5A72tYn7C9!g7alQ1J?4|wQCc|zRHKUW>)XSU|+wk zJJT2pt&^s~HTHj%JqP872o4iz=MIY$ek<9ya`O_59HruzU2)M}{4D!zo+hS}@@bB{ zrZ1XkvT`o4`x+-~5q^9;JkkBN(Z$iyqGZvV)uvfGf*)IARE#qxWbr!ClvMHYmDPN- zZeU{r)}Ak&U4NKerl+R5vf0p+<%5eJ0(=R&a9dyVPZ4}{;>FiVnG}r=XZ3s+r<&i4 zBYGj4_?3?y>OevobC~Lx=5zL>suWHEaeie$D+cVi(bI?R>gGwMV%fB6 zbcs?pui03>?GyAb7u>m4Wg%aqJ&^o^ChN%FyJzF(Iq*_ArYF1)H>hioAW*FSW=N!0 z#3uoz@ruW*2>Hx8>#!UtKV=}-d;j2q?Qi;Y<``3-5X*zvfg;y^_NsOKIVyMmZ~k&^ z(pOCz82rQ-EV)1-*sNz7jd<+VI;~I}NU?^iRW`Gw`nh22KD(Dn2)^ z;Zse|&hRb%p*)cv#`70s9|KM6o?X3tl4(hv(^-9!&_!8o<|B}-@5*Vv_?dJn5MwEl z{q+}J9d~#4xz?{C>2?i)4Nd_;GCEzCh9f7Z!{Y zC544i*4EY#y{x4C<5e8%#qI~%?x%0@#564r4-Q^}Ah);Qw`fba&Pc>Eg-oKr(Z2aq*`xDHt-Q zO>*3x(<*lgQ%aN|cH*%91wat;RNq#?6X20bsht@iv$kxB^{gcjpoPx(1zX-93UPr! zK{!BIT|lpuFauik3DSLPX2t_V;PvwT*vY_e8K05}`ivKh<`GVV&=e)nh5a$S`^YWD|dPYVK0HUQ76pU5| za>13>H8PTf-8h8Wfz{yo-&w4Ly_wm6I4pFMP+BE4ppJs)CpI++>Iz5LwreAUmNd_( zJPzybpJk_}rUt$ICO4PU&~X&FlJh!j)$MM&h>}{8v9h&G(sH*=xy3h5#^=Z1njvmz zH47Q=Xyn;u-^+!_DBmH{JaAuu$M98ySCDE_5Giog{^H zSS(UbTw>zast)|=9fHUHP~I&;8TzT3CIWZSWl{h-hz|%!6H7}bjq^2;h*0qU(p9x` zCk~|9gWSNoI#e(X3Z6uqV{<4SgGRnjo>2#=>*8Q8B7X*!;4COFCkN9(pgmmrTEh;3 zkcgNOe0Khwor-HCC89wT0{&Ak;LiX4{Yxh35?Nw1&kCA6XtJ025BU@U@t2jA4S-f| zGcS8B*j}6It9xTuXWiD~pTiZQ=~^W@6t;qFqtduW?f7E)q_gHDo{GOovUqa^-;5l_ z^yF@I+YUYt*)3bnO&Yybvu#&dH0^eD%5WUB=uX|iVm_4LWQq2n)maa4OT96ry}f;} zNx>xZ5e-0!1h7Qa3&G@q@b(8y0i3gZ6L2<6_SZ53bD50~1djt<(W!>d+Ik2RbkB&?sgI3(QaZW(5`VtlZRG-hG zp$4H*Wh88`Fv)psQ4szEF!f_g1T!LlKtlyxM&i)l$LD3=&!?b!)qJjjy}~6SY5wv+ z26O*@moa;56ju;r0Sc3LStBSh^?-1U`+kN^+VHc3vc2>-^Np=S2#f_xgWV24(v*`i zP(Z?OjTImblNN`|!aifd=Dh+ap>T=~Hli1Vuu*#$?$n^?<>Kj8)3yOoHd^uAF?U|56iwRoHpOeFFtd5xI=-Bk~-rinQ3&z#;bqjW* zn&Dy60u3|vKRrkrzorKWNH&)L>&Av9Scu?kBqb*YM@O6b^gy9hR7HUyj5$Xl#FzG` z6p968aP#(UqsTnV)gcam*xS8-6HWSl8sgtJ7*omv`DSp<9b8&)ETb1Fr4 zKtQFg!dv5?rN920pEpdsM}Rb6*cn6NNm^IQI>xV4-0!59`#1R$;H~5)ods~9vt)x zwOlk9D9L(JDghv~sj;zfI;G=~O^9Dt=ygJ}cD7{ZGswA32AVC&PiWwwB%)RQ`7`Nj zwXo}iC`#bl{3_eanQ+v$va)h;a+;IT6!9q=e56mryi$3iN++QCS6y2ABnKszbNyS4 zq!)^3CmFX5VS_F6n@(e<$;`-XTpeF&54ACax4mHdJ7w*8iaa^cmbl|nh&!)m>4vbL zUS%gB{W_XA^z`%?3j#*G$H3qZS&d?OcH*d~um2U4O^86Rea?cFEp@nnEiX9>3k$H| z`~7Bp8R~d|=3@n%F-56@ergsmfq2UY9=Mw3{7K^W!b!My2Y`E1T5IbgYzUp3H*Y=$ zugaP{5BIJ+*;pZ3<$LAZJ$x>7t!5 zSnG&nLzFqLOAq%4Cf+76HJCw=k(S1I`crihxbJtJO1BKnqCgl8LZ%*I{RcoO!y8^2 zuM|Q?JY)q&%bknjabd!Q2)1NrZFJajw;p&XF}v|+rFhHJqqh=46m6gcssW*fUQQ14 zIggy;Rw^!mo><-99td>y+Z`3KPisfZ#kZ2Otz^B^lb@FT+Fd4H=L5KU9DAb$9krFm<97@ieA2SALCx^D{V=?<<&OwmXEDjqlzl4OK z(!Ti3jtGen>$QqwNXZ?q0Ulda*?q`1Y1B6FMr}{NxIC2wR-Dw4=+!NG((zOB$$c>BKV|N&()rk81j|8dFsbDn%oFQ*7&&^#>RFQeocbWxacHC^o=f$_A6?zVWu&QURts!z48Ta7t0Nf{Z^f(E3o++ z$0|$l?Vd=q)(8Xnv*5c3==RamKkbZ2!%wCeC1I7o`JvY)fn54x-cT$z$4*b^1C9X7 zgkJwkjU5uR!FPVN7o&;zjuGdlSLe$mQ4We?9|}-s7FvplM_e!gzx)GddrPhHxK{xQ z*WVZ@%*WZO@h07syO@6veY6p(S@Sjc#*&VX6=74!{G(}B;^%aECl+E<1~Dh{S@j5*Ge*Vu?F5rLxu z1sDDXLHv-~#5~qBY?TdwXJBTocKhl>Sv~0P5Y_X(MVYq~zN>9JDwvSVe6PN)X&2@a z^NwVfkz6_V4$RsjfLd}cAX!4ebdr<^A@sur(2SYSQ6dP7pxrBU&T;KJWbQj!2K7;#XF7eNP< zQ3Kk!oR(H}vMAdZ7&6GrTxBCa-tG|U$)T+N9pxTeXdg{|20_G}zNMU4($fbb|ZG@5d8v1FW!5peKa9grB1 zc!XeK62(6eLI%V_dJ7)T;DJN*dD;p}R_*X`6rvFvI{`lj^WslS%MD0eL?;Ku2`gLj z|F4!muyfgq4DzN97lLDX*pj^YjNdad8An^3+svML9-+%y) z{LwN;8!sHn_JyuQI+%k15%tQ%%3vPAd{lTUpgqRjN!OvVc}*jw6G&2SQBewD9e{cr z8yc#r_%OKu^ra_N=^o5pq$wqO>87oNSW~k)2M(GqFiW@-g|?PNXj0&5vGBuIVhR|7 zGv?vtHMP9l0xaShXgSb6VD$9Wa2`UvNXp$|xCHcqWDwY4JW~luHbYA&2+m)@%d!M^ z#9zng!E>Lc-eytgqm_b3}dhTHM(V%hE4Y!;-`{R%jQ5A^W#R07^v zQwWe)F-`daA%j{~SE3|1D(ZnS4Mh$bIwmoz2RK&q^l^i}fXYFeHyz6N1(mudQ4;5e zd`xq{j(Z!Z%`E`6L8H@~s`W*IK6s0qTn^MQB7TQQ@Z&CYupq%B9|{2{WVBIq7;ao2 z=rb9&C5pIGF-%?n)Jq2H4b~bSLH$SqzJ1HF(}}?ErVtt-mfP@D z$-r6^+SCEFsQi%C1%b}N!C_){HY{BWhm89(L=}=AP=nMf-2@QQ2mYMby2;_z?B>>% z9z?Wisv_0%RSaFGDDN`aHd2hV!k5Q`L?`rD)OnNiQWWtC(Z9l!6H@trU?6<3H&ZhL z+`TT~x(Jfb&wiGk3@`~HhTsw^!bY18BQ}Xqdo&d_b-iLLvSk3(bL>_%z|j){{}MLB zOTXf1>EYjOoeuEf{%lOvU=4%Z`F~}b$&eQQZ*4O~QYlt22doUjq#w{e6iD4!Snavx z?8H8CF1x%aE5HDc_aaXwRIR9APj&9{uTEW@NVAx1HM49)wI{-xDzZEB>69c zrdx?xh{M*&c3-; z2KJ=g&%;jL9O3!6p#D~YTX6vG>>3u9Ay}tC^cz#79D$=kx3dDr0VqzGzH>tmC5*pb z2UR3-H7za8i|KG?#(-KjvI+`K@!MrWnAq*@RRz}a%CAHri8#Fjm*Es@|T4Fn^o2%pbKqY!bWw+NdTE<{r!8+(aj?>(=5Dt@3nk1H%#0~ zc;X8?IXQ)|Cm`g{k&F|+I+TfQSZY-TFK4&!m;Mvy-xcSHuv&$%TDr55$D1qh3{G9*DX`~X`I`q)D#^<6w9l3zTxh_5^dy zz)|So!*qu8c9MYljdPfaEYN5J@h;CLw&6xT48`yZ2*i5D*{elE}aTq6q>IzGBdhg=mxzu2WzJz&{NJp9s~})w_N^eYm$i z9yhOldU`roYR}ANF~e;fI)c>hax%Nge&nus9geMZyux> zOj1sN=u>c^J9lih5&_oq1+%*gy=i!0MI}R2Q6EPGM$`q| z#Odu(Y0#|FX9o;lZ#P(4JO?i-N#petw25BU}NFPP|;mbT9@l9{J7r$-IzirbbwM3?C8_&|NT(kx5Oi zF^5YHE@aa9Q|c#2aej}yRsipnHiXceGpFOe{DH>`Txypr%C@H`pAE|Sb`m5 zT${H4XBVqC>&0=&5WUa%A`lQ|kRKtE!;>SOzWp~wTNq*|e%83oZ=uN^*q!HAqk)t1 z&AI2eVYGwN;O5Kb_3e=M@gRDl%1p8MFrccI^YXo}z*QxFaR~`li?K5P+XNyrDS6&S z)11tCsoXk)UKHc=9RzN7-C=Ulnvt735;~6HbJFaxEk9kQ+y+X8(z_yR+E1QbgEI~J zwnPa;GBR>=Q!`4%$-=gD#=lX{hPEwr#B9npI?P;qH=eXbxRpaC5z7cB} zRIxEIem~dnxJ+xCuyiw_^{S3i^K+*T3=$xx>H;0JU*MF}>PEK8Yg|e{`OLc$LOp4N z?8{;H)ms<_x>W99gYPtU6gW^s&AWOWHInSiP8x@Gv42iTsA}#Z`vkR=bnVXJ#wP#% zJBN{)zB39P0p)8-2Lf7XT3Kbdj&DuICHQZjJw6n*%kaIPL^0`^bNr5H!%kA(>5DI8g*MP~gvlkHewR zK<_7FVq#Lb{{;6?^54O?2hyRB2G_Bb*cbCP>?(VLmsmbeTpLsQq0+4~_nN@gk%m8JwlzBDRy^q;zdS%=b^U>&)ua68bev6f{&}L6oMkIp#KZnK5)Bk zm|*4~B^8+o`1cTCOe6Yi-x690c5}_R=-{c~t;2cstui|UK9jf(;gk;pMWvn8NiipU z0-ki09VKRL3J)zHufsw^@xh{~MrKQauyDJd@dI&g+sulXZU{00>0G@qTdPDl{4$K^ z24|K^x+PEk4pF1CO#RBWwknChQD#^@WVqn%Y}>p>Hy;f2K)q)Lg$G2om{q~ST{ZB6 zZjzE7*H&#wCwArhXY@Rz=Higxmp9v=`J*JYw_F}Bkxlk!*Q~$8n!mKVP&`Gce)(a9 z?4hgtlPBL*)07n$8Df`pnn3{u=L`I~WU_r&JD8GXYOy0FB@H>jjr#dQR~DB4-z6J* zwxXjCP)>hVlqv5q4f9>@Tnfn?5Ndeg`styHOPtN{n2lVfoPxqUI4U5I3o5X|{PAU& z1@0N&rxvCZXLyh*U?T8F-L$p^J2S?=MQ4=pvMTql_H2KjzjU0N zEPCruESwb{RrlHR4)T=d_vaG^DRm`p^oKCd2a&hl7eEHMTj%D&9<{seQ_KHkZy&m{ zJ@wf!99wFJ?LxAO43*Eeyw8fAN&V4XvP`NN^)7BzyOtos0`75=nD!I7~X+LUHHJ zX!LmV_8QiwLQ9Wo{EKA>Ubl7fyzcImh?1$o*>(7G?nMp`I^SkqgCYv}+=24hYLBFK zF)n7-8|~qIpHHB|bluKJ%&{U;J}fOJi#jd>L3Cl%gy|k`@Orzr#m_>J^%JZ3BqduD z#eGDbRri1(%UQHJDzQs_@YSFKKI4BbmUTa`)s7^lWsEujT{c|^-??8|eQ(=3w@BEw zI&|hI@~DSPXQNTY<_j_$>B}R}q*)7UB}WSA(HAg}Q&GS!5J8(6yCWWOq3LbOnOLJ8 z9~IT{D9O~yFqJh(j;QkI&bo)NKRrKPhht)J)@_jMJ_aK(#!bjnW?K!$sAG=gEdp|i z{ij+#xqXx@%KU<&HZ8q_q6D_bGh|Bd=-d#emz8ot&N%p zaP!^Y_kv`<$wXI5L>bo3?_$wAN-2onq`p}E*x{x9VO*C3R1{tE^o=2!8(7(CnW|nT z_*AHC%BuKQ7c1bv^rm7#ZX<9RCE8?8yu*T1gZr+o)W4Tr(b#3w+8@)QwD(#iG~l>v za^BIkVr_thtz|25(Btac3%Z}>8T+xnrR!}IYVTib4Z5`?v&y@3<`y*9MTAtKXwF-Hvb;v|GminN^k zON;Zu(8{#WdRMrsv7SX}@2@ z;ilLdp*7)vocwd9zR}3%UM^;fpT$tAZ!T;#wamj}fkH)hRf<`+#*;WCtxt9BoGLbG=i<7%%bjzfWt&{Q;^Gd| zJj$v*E*FoAFPbi7EVB_?TDxv(WZ{XE+A}8yMbz&avMULZ>TFqDe}=PBE$M1Q2v2Ds z29-iDj+4|iQrbu;o3$Y^XqV7X788#31fS>MBW(6>r5&7>VZ9NE&NdP4Kj(Wlq%pVg z>EvQa2LF;|VfG`9pU1Pw?z;MKj37d8-cSAs%DI)jg}9P+heMV_s&9X)qi)v~Eg2_u zUIrzxi$f~nYA2^^UkKmE|7v@o8X%Lnlq(j#L`eNWlnNS%*eC>FOkBag)?-PQ6YIyZ zqzUh>{r6r)NPp+6`N>1=>}O>&;x0uxbmWT2>gmDs5S*gayGVGhL}`yeOb)g3-WWd) zQZ;zH?8U>1w|@I0mv%GUOB+4nm_4bclMbpf{ykPl6&N|X8KXVK`)!^PxVJ;-hreEFQJR>QVpJ_s z$L@UF^iCEbsEb6>Qt6t9mpGek-SyCh!tp=_{RKZfm+fi+t!zrP6>gQ`;Qsj*< z>wP=y_X6dkwHY$$29YwnR^#5N9p%R!my0#o<*EK{!v+|H;PPIsl89@r&7r$IqWUD) z(~-Gg+JE(i|1!RDeyk^M_+1+$G;xh@&$L8moh?xBB@KnOCjXA$cwO}%F0l1{otIDq z|MI`Z{v7_rl&T&(TI~(2wb+Q}?Zzk z8C@6^BjT|(5cIqUAgQAc&v`>_I86EHW%_=*gz7J0s;==R$u+m8zVdG?HUgto&v}Vj zVA9vz;Q(u|Hu!sjEkCM%iZZ$tec0pxbJ$z}ii zg(zk?;jw40u<2J?{6IjOeWWt?Q4v-tejolE6tYA>b@?WJesJty$@ln2N(!8zHFp5d z1?8PY;^V|F{+3~*WnIm~!5@v%{~&6PYV3LRAq7FidIKD8I?Xf|+{IZTi~h7yS>zJe zRuk&jZWcu^t`u6vUIqhV$T0&jyZu0rhqFW}AeVq-Of!56B4Gy*;a{dYCDspMTHev| z4HN^Id{7rV?QBt7o)i)17^blB_1#hm;g9$m?FMDI^bv+nCEXKIlftr|82-6f$F* zl#-J8EIlCbKTuvq6XrRn53RrcPbmLLGS;5y%)dE`?UP^L<2_pqHxxeasXm*B<3`($ z#A9uSwE-0<*a3e211;L z>gNl$5^`GLcq@EAgQDW+F668#KR^F3Q}~JoR3HH{LKO z{N+J8ILBg8YTt~Rh*W*Os%382FuHW^@7Y{1pNJX-$Hhy z$p9tLus6BC>NR1Y^tGOlU+VCkFX~Pv7^KJS-{;&v`Sq+m?0h4i>X~?}n*X8hKQZ z1K(|-ohlafj}llB$6U$B5iJ*Qr+E(JptUyA@-D)?_A%GHV&~*VodXZCzAr0&O{Mdr zLCW0}k546=tg(Xt)FH=?J?J|p<-(w(`s`W1H?AWfbjeA-|2fTfI204e{Xo`Mk zP%HXjD79XEc*jI_)2J5tNE|CddE2x7lcY!IAhWK0x`6kMiS9V&b7$`L6E>6-+#gxb zM8CZyGl1Bn#YF&~lIh|O2EcF>K-=E(+5Eea)9&XI)r~9;qj1LbC7T&pKvF7hwJ?HO z>y(Yv*zwLVX_)B37O5T?4=RnskQ4ROeYSgCF-T#vwjkdvMB*)Zt2Wf*3!9N*y3$oP zNhYyB2!!>~qxmoT@GAe*&V@wudGsB22HqByn?~4^bOY*u7yp@VIU|0UgGVP!%}JEIyEtu>7Ox36@-zdYNV79ClDlTAV^6mgUr{z zrCVi_79D5>TWk3MRGkDtHyrV(X2<0v2kh}ci^HF<{GRz#OCt5oFD$Y)`jcP7{_*y3 z@B!n9SIo0IorspL=4!=gE$K*3VJZwBWQXefB0jlh?K$U6-dM^wyh=*0wO2GXyABI; zmkZe;r3~mv)61`d=)L=&R((G3>^)`7OD$Gx`t~Z_PN_T3pQi>tp%X!5N*TykWGv%f z`o6KGo6yF~o9vm>MGvE&kRuv^l65d~YNC z7E|FDhGz6}Wie-ok}O(_5kDE%Go&>aVqfNe{hEjs>#MIR%RjU*u5eS}RlT{fr-$IC zN1n8{|MncnL)pZ{{%(824`8%hpOpKGS@+3vluSO zI1KuShfz?l9|#G+el7x&GF>@C`y)98XUGkcuV7u34@nU5nZGae7+#)ViB}AKYazG0 zO}wDGq0rK88&@#ct$SVRexsrf(hn*O?q-c=Cz!I{=dFq<;+>k@{{j)8(D)gkwpecN z;c@UmtD2`Kt5^hDl)6sWT1*qtE$)gVfhZpPEaXqFXN|+`nuTfFLclW%$;3F$iKjpA zf<4eZd0i<90b#V=SueQ%td2``3hy(gRu$AdWGCZ(!9+t)eSy01)sMNDgoO+_rPiEo zEe~3yb=iI^Bz=iwMmJIv@THbhu;WjfUAYb3g^l^$XsbvWYY||8q97g%y%ugIrEhE4 znK7+kpXr&ff%?OrZ7)PTt8it!sl{Nb!V@>4(I+6#V4Uwosw<0)$lTYVKwGt9Jeu2F zHzcXWHmMLWT&J`q z>KpqPIHnblcAk45K&+1lqwN`yc11Z6X;|R#gNGAGEy~T$uLJxS!Pi7G2qSr>)}gR$ z^h>jmO7Td$7k(VIs{8)ArEPdT4i$rxmxu?hr+n>K2&kdY-+Sl=j3;d+7?%RInZ-SE z(GiO0BVyPwwC>}!%!p=An>18i_g-$1!`^#jP0I&Omf%fn??5qUQd``S9Is~ z%Zl*^7)(`r?_v!doMHmsPM0d_x1pnCh2|y9*|*R=FUaz|hbO`>j|BPq@aThgpM)y@ zr2jl!pCdr+Cj~6K`uGz@}E^A`}#n7E*6}-+1_GF9v_Hk*IZc zm}>eNeBA_$Nq)Hakb883ft^L#)Z7eM?`--^U*}rhcp%WC#?4A4X5QpE4!1E`omRfG zesqhYy1VmIisn(b;VQCMv=^uB)kZw=N=tZ7$eYKNpX7dQ`Ka0bW=y{KZ+9BKm@d*q zsuKduw4am&WKU~x1rJkv|9Zso;%xgP1ic9Vy+a$}YZn4iVF!hncdy)cwBznSst2aT z$z_HMqCVBK2 z%xju&IdVuqQpTs?2Vr*YP>N6_vJD8BqEnNdOZQ|2TarJSa1oaff*pNa5WZeLgRGIn z|5Mm`$5Y+^|DP^ha>_;JP%~ecoQ@wO`NY<8go0%k?%m+{tVd!lGxaJk`_b3=G5tS>&aW zD9l~Vy__yvh7T_$8(_gOYzYw#DkmDe?`{sGU{RGtW>i&v>41EDQA8?4poJF1t9>wgZ8QYzqdH4Jn37}KbmdysA|8S$ZJXtKtNuQ!0W z@|#^O@oSfALl~Q}0O@h6seeO+%3QPMj$K7&{V>jov_2~|KwjjmKjymV zlxCZC!|3Y06UI(HFwaL#!@Mca;ecXsULsVb2YBuY-S^E*-R_9mWBM{@b@lmaadiaJS8zW5k{8|WAGwRgK_q=xxq25f~OU^e7Tg6Z)(mf zBo@Yabs}R8A4D?d;zzzG-fy;bqD9)|;zred-ijRx7L*K91pNe=l0R_y%>DXRZL|3C zj1h?skJ^ki%ep5%>&zBUgSQl0mP12Nd%;f^D^RM;gCFiHsof3~&NWqsriTp>B-Cy1jVuLyC zP5w-dixU_I{#De23n3WX?G;X@;r}e1l`S2;CKrX!X=m^sG&&)N7%Sr~jrjZ#jXJ1s z!gWpD+h~d@SbEM+d7Us+bW5F`BG==lULiYsD}H^tGuiozBE;?t$bUm9H3Vv>*651A zOa>0}Eu89p3ZF|X5GgR^^p4ztpAifh*t#+4ij)y#T)vkQjq|KhJsVz6e(L%5E%!6# zA)X+ZZ6ZLhgC!Ugtzm?dC>B(_B$^fy;#WNO!L@!B1n=PQMTVr`OO6YPlte6UCK^Ozs=6r<)?`f7h8-4Y;wJXLi>d1X}Z02x77~Og{rXtg2}iFD@7wR!DBNdI+zUzFTOIx&_K7_lHsMDUR+`M_{h3V)Z&d2qUderqGv-#-*9tzh`5>*2^Dh!HQz$;PGui5DC#tveG6Fg`-6<8Oh@ z2fCD*QHO>ZTyjaWti6?$e`2C>^wQr?MT7`IB+v{U;7$*2j-^HZg;_k`S3xS^U5Sc{ zGP2v}`d6(X_?*o#UI(5)(~lQm19B$B7ArgUv5Ra1zZhA&=%C<7Q97sDkdG{XG#2hW zdX6%e+iLY5h{m_+dXf%pIZF zxovtyD&Do&)f%Q6R-jS=jKMZn6lOlzyskS7R2SU0_YLsb?{7L4o9(2uyE2GT*_<;} z@#pmAQp~_=zdWLZ(}jZqd1F|oD82R?-pPH@n`*b~7X`D{a#oTdCFf&R>>tH0J@7h|G|4TY~9J6~qr`s;9}|S0o8iwTb+U&vSlt z9A&sN8CMwi^K5dz%bEwQ$kep#aOR+)2F@T%m0k92;zu<|i6Sq;iaf~B`;yl)T{|^e zsw^|Vi?6FMGMKX)viQ!xSxTN1EMyl|)Z5aPSDyyllS!|k_0y_m9Im@9dSFFUCr%}7 z7AbdZ)f~1~n%7#{EV0^L9*o96CC;uCMTh6Ig?Hy|f7nx~_N@Dp9Jgyoi-l9?bJ$wY zP{U-YU(Wuet~v6m4ABW2WY*2rmy37F|E%g!7G7os8<>d0=OCKDRsGpTLYngEoZE^O zkDXMg4QfuCXZA}W!C+!w(e5+;eJX^|LXc{G3QH1l__}=@H?Xw(7Y}yu59%e-Zme~$ zeMfoE%BcjR2NDdVhE-FZ^rZW;D0ec|G;#eb2^cS38LjG9&jqK))2%Zb!YPmi#R^ku zQPHQ-;g@<6A=M8>oTYnD7fl=8KIdBZf;c_bTRTsgRCyS_VuP=Lmjxh2pG8*f=(prC z6Bmza-&yzJtRSy#x2aQ1AFu{{!12S(1iY9MUVN!^=b=N1oskR=Q>}s{z3)-62$LFy z5nAl~Tqkm*cTp1*V1v`cCM5PurhT)`VOYT@;!4Gr4U$`Rv)X5OPV?~U-^D^Y8aeO= zaC=BCWYzk0%wGS9uf5CdRNzRQxn{EGT*U{{PA&}8O|x(FhFz;Yfo-u*vQeV%g*R5gMR=wvU)j-Fz;Tl1KCq*f&U{ez8YN)2emGti2i zO&ggJ{RMgoGv`nwIpvPU^_=`20;yiHfwUn|dK9u1dDJuL(jnGhDmddsSWJUawmovO zcI)%zPt=KGM_1^MMbLz;-U>+)YK!F#*^gx+*Mw1qyHAvyoKx^~H-FlWb;0?KMLrb{ zP+S`YzRXi|!!5^-sW&$mpSUmK7ojGg>DDgF^XE+}h?RczqoGavRP92%QqxYAfe+KW zZ((jf`WVM2G!cI*(Sx7=Tml^9FyJmW<%Fd@zGE}9x!#5hXKr8f{U~=~S?a=%Sm*EA zu%9E}rsN5vgjxs-o`{fM=e*xxVP9i-#B^jZvl|ywTwGRa?FogafgTYk36I5ov2m0T z^?UI<&z5H)z_^-nI8HZ%xP^6eb}Ds!2~V0MPre27u-Mv%H(Lp{0lItSWR+R3pI!(N zc$hZ-F#X=#lGS%=K#DzRUz(w$;hckiXT{1Jij zz;@02r|7ZAO<@x3JRk12^3A(PlU_TV`ERJ2(!*>9;g0ljjQ-YXh#3z+*qe*SH2uQ% zn+j*Bt94LU#5o}T18L#YjLDXtX8*lM7Bc$@wdD!5 zh2m2v{MH|xIkwfXlH({nSR|gMc2xJs$GJG+v@bhX9UYx}ooylh1aYHl?zTHiTY@hN zM4NU+7L=Wk95&Kl9G548XPdDqKWcZ+Ne5JLtrn8Mu8JAVzvFPfZtrX&);5v2`i~`{ zlm<ZuVuABtzm;QR=hPY69gc zOOu7pW#Y52_N7mSc5wd_P;0F>aG^ok2XcVWJhTs%=dcMTKhc@$6RFeBd+ZE&dDRAa zZWsiQYdfsdO08Ee%d499DYTU?!mP)-2_Lb<4Vo9Zjq63)d26y@Zv61>;KSIlq{aQQ zZ0s>m`)$su{%j0{pX!(Y{Q;My>4vefx|hlo`;E)Fs0Q9x&JCC)S{w9&-`wcQC~##QR>IT^tLW#_ zMV4u0UsLdKasm}KFys}HLR*)8$ErH@C4>cgyi4t)-S|As8R7hTi5vQ5{moaQX5AV4 zmCV5@i;RB$S{I2%Qy%#kvcDKq^4k-8Xx0C*+3v(6|4I=C@3*wMUq+(8=>iV;vfB3& zEB6e;OCG-MH)xs(6xJ)VRjYZ3d;h6vfOQqN)Xq0^sO4h9XlSQn<$W2yeoPB^lvuCu zi{oLAC5{xGooncl8z{iCqMBiYn0_D`=Nk(XlJnByl%4P1>eX^w%Yf0q$+v_tuU$oo zT9Zd7hZUb&Ypqyl>*z#NBH`^e=&H`HJHIUol0T^}e&-jp3us&?{pj)a*Mc<9@^GH~ zhfN&Ous$xc8Ia$aPvPkkYD=S?ZTtuRgKfv&CVp@inxvJ!27J*OdF)S~%9%{otXCH- zsy8xw7cTHImLNGfMO2WfG6a`a>Vu8OHjWR`6;3|6z!*xFy*)9UE`@%#uVYl4(<(JV zy-exCT50UfWUVsgxlAoQcrN7wuQRMhkdDUa(VT{``g+Gc>-Ma>_V8aCvrQD3icc8c zRqq|x0Yp~>?#zriX791ybGVffXmj)Yy6{&iFG`5*hW|UZYkmv9F|}ew5my?-20Hdl zZhZ`yD5~;AC!aeD!6Ltl6&iUYXa<3WTXMBRRQReXJqh1G3%#%PUO|_>LqpaQ(A63w z62A`qm4}4xP(T9_e-=1y2cCcdKa%M!R&t+bh_hw2Dm7KUWYt_HAI;FO-IUd=BC2~& zEok7D)4oHfyxKoRC036Klzu(zC7k~mxW_aFfpLDAP$hvlwzWoAUSslCruN;pymIsJ z3_@&;@q@+-+zUAx{Cj*e?$h{)Xz9D0q zy_gwCGO&6NV#yJH*$At9zZns~AhXw-NCWHkedhMvIf~Iu?#-h9`+^K3B{An}gzwNf zJ%2A!7OC{?RO54|n6`$Q!%Qv=e^Tx}}9+bHBdJ~m}Xu9f;g zYeZah#-`TfVpWZ%p8Y1GhI)q{X->NovM0lB85J%Y@lMJpX`Axg@_0+VD{4u(14H^! zV>B#mUbgy{B}>@kifk8M{6O~3&c}=2E#AjmKQgxJR{HIMr@@9(gnLInSWP3^q21FQ zx!(CH+-2Ayyb?p}Vt&kCY@#6Ne&fm55F@&q<|Zn&=2Vcv(KZ~?{g*7;w*PCr-e>J! z#&PBG?&_2GdC{=LzXC~UCIJGIH1jZbQ6r55G(2BkKP~N1r$w0yQo$;m4_y|TDNZ>U zu}X2!=j~7x-BfLpzNz9tAvN`E(@{G!UH81L`aN6M0}1ItTKg>nr-?$E%=iYMTcMgC zOUkYq?uy-mlrF3R^s^_c9F8ZtoN?Bl^Cel)NA zlqxV4IMQ<3>LAxOxS+Ml-0FSNb8&sM4gSV;G-SDf>;2g|L=wxy3r+I~X&U?XeVP07 zeE|(Rr%yZ4+c`^)n`EB9Og|baF*eThZ1j(#!{$Xp*Y90nCK0Jao4AVETCZf?n&r(Y ze?57kt4}9GY&6Bm?b-~nw@WdZxTqfzUcWE+`y=@|!%+sJ&faD&HTn!%{t8wWmJLk} z>*L3_CO#c(1>gOtW_)ubFv9b6VUw7CsLd5oyUsB}Y>#QGY>;(J@y@9yPU=09&laAM zaVk0MgiYHj7;tm$Q#_)yskkEgD6*~oo;W-2V5&zIew%ikxS-eRc@#REf^6zVzDaMh zgH6u*wyK4YNRKttrFM6^MpE#3{#!fWM>TGcG&GB44UKL51OQy_O^?PR>eup ze$z)}6~0_AQBUrY#TfS>A_NH;Xf`JKrUqd?k@@>5Cbvxr9(pe+QwmO%Er+C@nVJdFwXz7T}R+S)Xzn8$Nv>0NFtH z7zcv!ZTc9PqghbN-{Q;wO-}W+=5gO~@y!1-iA@+i=l)5@tDL(eTrxiN>tQGZxr;(; zR;ehQDn(D;G2)e-nkV7Y!n^!jfd>8TqxI;@ZsHLQw=JL<{rpDc)9csSvW z^`qHlQvfI0j@QP5^-2pYOAMRc|CfME6;G=#+!S%4>hK;6xS9g;<^QDux1F8fP)(RATey$kncpp5Tqe%BoGK=4*c-0m){~|VqV6_ z8-^6htmESe%7w!&3q$-+QUG3T4=uN#r3$ePNrk)~D6_v`3xb#A4U{uAWd+TBJD%rT zERE$#aZyQ$$Nc?70^BHayZ)W!`M(zezaHVi!xY|yK#~9JCJma{X2d`5L~OTs+;TO{ z`)_TOe*Wv{#Rw5(KcMM~jy=?{LCh6G4S#zF>`{;}H&lUM*!^r zc1BR)0{_YcIDko@nEnAMt2plW&HMuHCg2VM+h;of(81qFFKpWhhM=A^c2iNqE9=+6 z``$P*5;sz26EEDz%2rsV2HM|Jf^<5dV!?N%S!}8RU=rIb>*IyBv)dpjU=bBP1NW#v z8=eJG0d$6|TJQWm0Q}`UxFVpYz)oBY=mH#**@jChM(M3dodGB$G{Ml24L&qpU}`*!W75PTIY99kl;6z~@H7iU3)tN&_2(I^u6#1HE^g*jh8#n)&fSR?0%0 zL#ULu*oOUp9m8oOJ!@1Dn1*M-E+;gi1Kx!hsO!E52f&u&0gc7gkqtm0a{*@hlKv|N zS(EjIL_myMfMk4|(I9N?t^4xlQrsGN?|8w#717N4W-V?3nuiBQ3?87NJts}V!iFWi z!P%?~S8}{62fVQ^w_*9)E>phy&RTkUPyntMauAIb_1YB$RLA9!aR4j=;4WtA^1<%9 zdh{N6gu07^_};C zE`e~60I8$~W~gi+w*bh8MM!9nfrU<)5dIBZ+3++aVvSAX0&TcII9lGPUMF|)HL`^= zS#QL@mI{LF79i9;K0dBET31(B1yH>54qy;UjP8{g@Ix;EL3teCc=Npe+HNHXQ^FGx zQ~}JRdeSuP2cLVr>-SUOue=Q1xn-nUWA_v7F+%tPM6!##54^y8jF>{<9kl>(Xl-lj zk_=*yR7pAqq(R6I$N|LTri#k-yutSXMMSR5_-DEFxIFlnJa&Z_0@EZ{hZa6BC4YHv zm#@&>3%E765$Fp{Ludg30WCjW^RL1L0QrJuAHex!5Q8=?_z@Uc>xly&95{o(b>|1o zj#z+!;-gpXn)A~@Qo&@6fr+UP$oq{jG`hf_K|x8$4q|wKdkizA((=wq)6oXXJOMM4 zpFw^fX1l$$)jX$_X>E12>w!1i{{!M0Ra%?78+`6wb71G4$*&kU1v40Ertpz>X+7L~ zU10tJ#23P-0VFF!r{p$wpbvz_kqeNZhgt^I6}d;RyaU?>@TV?UOSwXH8i1{UaMGx9 zwuopqIwPf$gj0=`gWk3cG)&TLz&fg_sUaL>P-Q85M6Cy~_xbsybuUp{S5$qRk)%Udd95L!94l!35EM!-b{L{ehd?42Z7) zC5``q!1Hnp%6JeDCAc_dQFZ-LNLMIA6*x3OM)txEF;(O7fj}sU6Flq@3E|;BQBkYh zO8Gi}9P9)cNXi5y9KR*ZFPJP<8~Gh>LYSG0ymHQ{chw+LkPpU>8U#T9u^tcXL>sgoyD0iT1-(Jf2@uY+k$ zs0J4s2L}(QdXlzUl4K4E9=b;)B$wzfF7O}w)-0!`#}$~i3stWSMrJhldJ*3k9)Zpj z{#u#90yHRgU>|HyI^Z5m|1>g!0ABEr0PAINnu>fQDPl9EN?IcMdvnEMzwvl%tyeNL zyPv}NSD|5WjA?;WKNA*OF6auk!B~=?k&zK2Hs8!y=$<6;u;A30Gug;rfi{i@cW5d? zb?VWiyIAvJ$zytD%*XL!J%b$xQ_{`2x8+KK}!H-TRpU literal 0 HcmV?d00001 diff --git a/doc/LectureNotes/_build/html/_images/week35_199_1.png b/doc/LectureNotes/_build/html/_images/week35_199_1.png new file mode 100644 index 0000000000000000000000000000000000000000..5210533238f5f134dedd8a9fc7121c90bc8a78b5 GIT binary patch literal 41392 zcmd?RcU+X&wl-Ksx)rd+gk+^q$*2U$C@oNuv*aupBqs@K18pD`N)Ct7DTf3bL%;|hNWyWYI*s_uBl)x*Tu0;6c+de_d;)y~?K#ofZ$#oE!~ zDvtoqWiA#gSJ%5PBD}oz|9XJO(b2uN1hao9K&nQckgyCw3Z9%5$+@l*GbCI{DPB-y5oAs zOPo2(i&jQ9TH<{ze_TaD`%A7?8dwwtBljzDaXdb~-iJQO zoqHgJ{=~5VzKq0zVF~;NgarSj{Z>zp{tP(jJY*o1@sdma>njV7vuE4+srINZ^K2i! zaAW*+HH?k-)X7NadWuLS>k&g30sazTMsNA2ryyin`r}EYgAd0TQdRomtu0k3NvkD8{K= zN#Iy;gZHOL7hOsD6*jxu>o!(aA6Uc0UTkc*i*Js&m=%myx@4By4ZaAW7qV%5d`g$# zo?rWYnwJ!7nWXCDL%?Pi7d!V%(vN=&N>Iw&n{nK`li_#_Ne|=maC2{WN8sAEEZC~+ zlyGuq=5%YcEvYXbMlH9G=iuZlyF2kFVwR_Jiso!k%EE9(Sf$_6Sj~2aM{O#v@0@%~ zYpZ;_B6+a8)UZ}ZTiZx%Z(m=icWqA2t^9l#$kEY}*(HB?K?{d#e%0?dREj%ebg!td z&?xztccRk9i+GOU28Q*Ed{1ldKl&hamuKym!XLHwT~hpw&u1^vmmgk|Vqw9V^*Q^9 zF|BWGg!=4yl4`}7!fvE|$eImh63;REvE9F2;lERn)?*VF1lJ7Tt;Mst72_4~wM*z< zH}mh2v6{XOeIFOrz1i6MypR2;zy{t(amozxsWA*}n7G^-d?O{opgnkZIasnMPp8Cn zYdZR3dY|Wrno+VOyZ!X};D%?N(V4Zi0j5Q-MyFXqKKySJm~;3x%(lj_{Zg4<@8db- zDJvU1(-wPmDi^@lP?^N&#zG>9Nj%|BE|8e{%7VGxt#5w{3rAgth0Lqk0yBVsEf%d>)lf}vvlFC7H&(E)YkUo~3ks+gP;P%|KD5k2aN<%{fTiBo5o2#8$RHRxl>K?yX z_rq^%*AFR6)y9ymY>4O5c%4y{g>^HYO>m5nd=mu2JmtILy020AFH=;_Ci$#2EBmQY z2TO-Z?!6jusL<8Za|6keE=q1a!Z!0!if?~T1)b;*5gNeFLR*B`r^VKyZt zCF*z$U0o4k1zF!;Ukb9&i5k6W{@^xOK|#TFLTl4)rOfQ^?)`2a$BL59nuW#Jh`9M^?^& zjTPk!B@64nWQPA`_7WzkFmif9*oJUQRxe9$y{PAF8!%i)AlP;}d1|5xKa)1gNlme+ zguAx1_~8YOOSHIKKKQBiYtwSNwlF9CIKAL0Aa<_b`VN2CzZVA8~|xK8l`k3SJp!<5N@v;GyF(^2HM)Tj8U z4!u!jw4T$vMi=ky!;_gkz1pJj+3oTQ6-MgxIXG!P#Rx0?iKexO@OYDwT>;t0{rANF z-|#m7+Ty>??*G4ofSdg4sUI(B-(BTKD)nBs8FeKp+Bi5QEpIO_I*j`5EZErCsDb@j ztl2c&+TBy_uio1xZLeiY<{#yGB}M8l?9Wh)KNA_eE+*eoL(|T*$FILWaO~;5?*m0Ot7hVC zWen-m(9sd5 zsbZVM%kxB-&<@r560mbZbz314-zSc>@;!~P6|@`ptI&7Bmc9A}SvK!1Nq>6i>BVES z%gfz+Ry8#>ZS3tCU3`6fc4BNt9V%|!y45o@lym?7zC>XcnVUCnZjA#)ne2sya(?3`0d&lpc^R+fr|NRZ0=?5G5unqiEwB8EQ!aYIO*vy)Va>|DA zxp0OeY){P821CX<_}Z1OIB#mirTkObzxl46p!|B#-+qz1^~Y?*il^B8!UE&wc7>7X zJ>N?wyI;Q!z|JlG*jsXIpc48#zPB)5>Nqa3yD+|&zyE%~-U{yz=a#a#jFj%~2kib5 zH1}%72=Y>KFC5K-?~W8!i&Z2P%sE=keZ3aE=h~bw!>bfL?Um>(!q~D}HSMZY_s+ax z);SLTqN#?LTqt)wRLB_fi|>Ki8$VwEuGTALM>S?xsI6w2zq#x$uXgFAn&H?0{f2kV zq(jx|BZ1G7lX;_C*>K*Qgz@~kZ%^vNvD|v)3I+xS+q3?Ami7ZLO?pnQtsW24n zSe=Dd>zdduUF2xe@U#m2MLCSEHO}2dC#0YHUqO-j9KD3mSek5;J=ItP@tvrM2wdWX zh*|j1^Wg*E%ywKHo%oOMtEovxgB#}O=2YF>%HXW0zIv9LH{(_NxeTjs`_&o2$~ky> zlbvh2E{!J;Pd#be@_GB}Gkt6)AEl0yd{N4K*T&$XKlPfe9ba*`7M~1b7Z$isS#x^? zf2!hS$c3Rs(aC>5*8fi-iA>_E`1i_?kPx_3HgO zK!jfuXd8On+#K~tE~wei)zsFO$2(L`pWdAjs_W9O+ty6H=5#}HcTRb|@W*yx)z^3Q znKhMkWObQs?aQ7~`;=8^#h>G|SSbr*D=I2_fB*V^8Um%2DV%}V^z)%tPN@ZiMG=UF zWtn|7j)^S?I8=X?@e*S)@Llh%A{7v1hJ5-7W9fzdyCh^O*47LC4W2)LzWsexval0u zg5Ve%nvO+#kg1xHI(YHbB=xA%dqy(}EhD4C0~FLxy$hg! zUBU~Q3~L2X-^$M1V+JDHK4Bi#{Szf31Kp{{*K#;{64;0_-&R2a_{KgL2wGyeT8m3p zjc4UP8%h*vEE#$&eh_ctr^?q?DX=Y!;mvI5d9<-_fz}4r$mspI0}ce zd!NwM`^~0YJtAwyzM~6b79vZnv6#zVG<@L8m*S%~nrc(Ht$uxxOpV%m(GMnK+?j>r zR|?@soR6YiX@!<;Wasi?qlrDewzKU`{jM=Vef%0Y{08Ha*0`~!Of3(@YE%#@Ne%t^ z?$eOh@>8s}qICM>mC>skWh9QH{JAfroaBdmpQ%D<8ZJhDaA15Szus5_f>wOGByhNIB)KKZ249x0LeF}TjJ-Rtjaz<2%@^{O7LGHyAuyJF;fs62CJveF&y(C9l?hNZJ6QxI3 z>!q(eI#Cw3;vmdbB+T;1ubG{%hwW^7=v3*^Cw-4cKK`Ty<^Eqvuo0?)le4!zo^%SAy2;qN&vO#wydw57 zC|HcsfxSPK+%L$4M|X0TRmQpK@o^rn))P5=GV~oeoHsuYLm9tg6d7b?zx;ey`(t@U zjEBn1YSydQ`L{>9AC>PTw89abMaWl->epB44Vm6-IQcu#1A1*(+Mtvz>C`b zX9vPx>pZYH^B)#iLybiQCw|3PG_yu^>{Fsq<8$n^>p`7!G9H97q0-czk6 zbQ`Cy;sUpLG@sAlZZU8}j&Tq*+H;Mec z%QtgVdk=fB+Q%zIAN8_|cs+G2k*{ZzSHP41Q+#|*uVr6`jpMX)Tn=|Xb>0ega-OD|CWC%iW-EEiD7{MXGw?q(Urpb>U7VRUBR90dCn8{J9b8LaD45( z03#}pjgN-5zg*1$lh}-u%HEsq(O2!gm@+x!tMO@*`3Z9{)!13I8Z}vEwl{NMa&A-_ zP{-%uLMIFc!^)iVXfYU1OY&0QPDX`Ng&g6HdA>z#3#Ou2Qcrw%BRIZWgCa?z1qy@IYV4`_0Wr_;sl@b4TSh5 z;XVr&aMUcLNEz9WKYHh8`ZWSXUG(p4g zOBqa+d#PDH>3xdSrHsCkhh!ml)1qzB$jWpq@hY)}ZM`<~)s>p+UOxID@L4hJ2$T-8kZ+h6WlJko{>2eL`r&bjgP zK(}{~lW)2;QX9FdN&83EGpjbm9;JGCeI@nPV8KvP-yk>0sg3U;8LCkoJU{>C*IV69 zbf4|YU6r!2tnpCL z!_B}aoOT6o4I7BL|2sJakmL%G=^GtRGSXUa8U`<9yMpj*UZPi<Xwi7PBy*DiwA^@D4kM`@CTVQFbP)wL%H(RfygFoH2lHE27 zSGiP0U6B9NX#0PxVzB%`1F`Mw0+W{7RK&0~2VF@|ZzuYiyv8mmmKWgVz`b5=zxRhV zZ4MpXx`SC2+;0Sh@ZA(W=EmWm6K9~Am6Jl%7_Oo&Qr!_x)dvCI&#zdI} z9<6fIt?@2%sG7SVAS9&h>FeQ9;ZV2hE+8O~ot=%_9P=sszSrewGqzc~X+77Sp2}qO z{nHr)NQ9q&P{B~rSqtylg+Bu08}(W|I_}s9!pCHe9unIaF!P?z&MbABl!3&AloHI; z-7YkqXPNA)kA7DW(979Q4V(Yvz2=v>mRmscJ}92jOD<#a`N&NpoEj?@M_|4?97^9 z=SSC}TC9YbFvCoi&d!OBNMTPRXai z{%p`W;yGbcT-H~{p?FQzzZfYxvr>n7i62BAexK!|LWnRi+~RWlM}5zQ*S~+JzjkJu z;sSoY*2H$1`XCJ}#?h#C;j3rQ@UZCO`egpjhNsw(K$_V!CJ|S;-QC^o55W>?2v_(3 zSkKyW!?E0o3T^+bXn)~pT}7gbHM{JLLUd=erN^&w>agCIo6~P+qHUuzb90=(&?Nl> ze|#&gi+VrFuuWtmLd@-he>UsZGUs}!lN3c1-lZGQuJJC^Qwq*j!4^opRlC_-+3!V2 z$XKa%c>ZiknNY4@Z%gq{SuR3joeIuyImmM2u4m7TWr~WNmzSC20BM~AfHg0PlSiN+ z_VvPa{P_2b8!6#Oj)GN}kLKz9`0=mWjk3bIK0U|8l`Ic2hwQ>I0dMu`yD=+UD?R;Z zRJa6pg$PYdu!mx=ersHJ&X&deA``><<%aP6^?&Za|ME@50PLbc?#n@@BR5Y{-pm|L z!k*RA@3K<3Z+v@VdCfLK!AFzLFj0b}?P6QFGCI3=cFJA&AQgsJP8Y?@y08wdLThBcsg~)8pBoy4{>KJEzcXM3M-`>D4QR3>QU~8+!>f*~k z41-LX9_u}(63^h2=#d$@h3+9>*P;%2Pxzip)ijRxy>FX1mPgt7hw70X< z5M%1!8QYWq*w2W5-HYI{q;>OVW9bbc%v9BcVlUmyvrFT)JJ!$6nt58ThB^q|K7f#i z?T+RJchWYgu)pD$WL|Oc6{uIvfjLrBR17Jon&)UVz3k@ZmYtO)2Y^_vcA=J;S*inJ zL2%Un$1Vt@YN>X|b)l?3^r@%+#{bOgx?Q1^4wKlO3$H-yJ7^trn`?t zdqL!$OjMeez)gvEfD5Stlv!MG%}SSrFa}acT@7tJ58<=+=5GlXvtC&YqQE}} zhg|C)?hGQVxT?EOfeK*diK@C&5k!+q;D9|?$PU=}F!H05#a!}*RE0}-gjTJuDoUS% zw2Cor^)QAd6QK!{B3%-HmH3{6phc^VvxJb4r-JfvmW$+{(v7v>oBr-hj`o|WHPamn z;D?yXhpv-rdNk8eFxCC9l}QOHG`T5|EPsL*|9gG#-R*Nf^v zq|0`b3CF;B7$e1lcKFWI-m27R?hDPSnM%8Y3j_`7{8b4gSr$vQE;Gu)rP{kr>Fv+W zlUryCvB-gi%cGc46{cdenu~b5y{JLU^mTFmD97mva>m(q5QSRL41znGiqi%)16j`< zZ&rV{gdetmCm?w%CP1*xcYr*|K)YBOWrJ}d#DKyGIHNrt`nGg-KnK@-GjB;Lw&l}= z+Zf0gkao|0xA z+ui%~!9*508rDGB3>F6ou0ik#5`kW4JWXp)ZI&v)LU0t#t(^Sm0Aa?EE zQ(8i7=N}WSjU5{YPgVTPH?vXH|9LI;y4%{pDc2bArfrMP&Nm=BQ3_6x<0=@t|B{>? zoJ4oObW+8%)Mu+&&1+N%wnLR+l4WX@xOtX*0tmaqEQrP29v^-6hxN?WY&=R_rjX#L zUKP~-6$(jiIGp(VKiktD)5yTS$nt4&5)A@Gq4!MgtJn4}0+s16u3i2#3b@HNni2%{ zhI4=r;h~s24)J1P>Yzy=n~Zok@-mn(ykUFS1ReSB%jK=hB97!QYRF$0in_`~v9)J& zFbHeYU9~m0bRo~Fi-t2{CALLh8M2RtqqOvXSj^Q*MpZcAda=kJx}jR*RILY*=Yq!k zY7<`?phES=J>>io!E7wD3liR1UAOf$)4hHsstMDsF&x}0a(EE}`Ah^sSW=;MNq79d z;%}V|GJ$Q`dscZ}q|e)j34e}O_wet~6DA>E-vSeYE>!UexKPd?YG-($$b0Hcm4JU# zCmhC@p3v`xY?}M{UaE@LaJKzV(1^ic4}DCyG*>HKSuOoss;QObD&+Bxe>Wp1*Z4=E zFTzv5?*u@OGwmL$d$|s-)AH#c*Rt_ORQ{fBJFvU!C>!dS)7Gn_Q zYexNqr^u#E?gIItL`Ytuue6IXl0$zbbbiN?FBc*E^7S{)u>5Nr@-*~$jN*#OO2m^7 ziPABrkFNsY#pw24W3dL-G58JGAu`I+4CzGxL(#6(c~7G@hZ*Zul2gt|H0`>?*gKT^ z4I&Um_%CoaX8FEXzzn~7v*>)68W3V^Q3pL71NrBCV(s@#42m8f6&KWg=yH~NjBGl6 z(Bu@96iYH0v6(f(y^lWnR_BkC)3svsRV(E1B6nZN(!BrE;=y2V;FYIuR{|FI!hfC~ zBy>_y!(K1dom#sAOVOlShznVpb`sVw(z)~q>61CCqMKLdQ;1-3wsbiVVn+%T_FY7B zmnuiUK21+4Q@Z3?fz5vOG4b+gm=e=ORv}Z-V@ax94%xNEQUVrR?$Hl%x_q|RJU2NV zbjW9y@dU=uv7;xpUF`<9Rhf{nKP5|~>HrxG$v_k6v@k#Y9AajGkGYd%oj|Sb5*&I; z^qm)4l^9x8HaT4*aU9XmGc@)PzNWky+~>t?feh(cgoEhV4EtroS{84W1j$sBZ<-k7 zSx_kGWPUmyG6~p+ZIo8hsxFW?Rs@MRrpUw6YG~+U?Upn@NW>PlU4ce zWS5H>xjhd&VR$C;B&7`e0>W-FcJAx=oLejCUh~oRHg|wu|2k*@<>44~;mlL=rHO5w zW!Z86!T$KX#_9sdZ)KUpS<}y=XHl_NH+h4B)LlgMMM`-Ep)17-P@G9JgNr!s9#E_AURae3T}e{UrZ@nV-F>F z*sDW{;z9jh%s=%*9TbU0er>B^$fH_M&D2+@xS=}bqi+J)XWd33rWrowijsak^|bl! zdxX~O__kbj{JA;625TOg{G1)Yg8;4~3rDDH8z@}u5o3;UE%W=_ zJ12;3@dFy%oFNSC?p4ZBKO>xLM*p?!-|xq({-6dE-ziq+u0)Tq*qoJpuiY)Z4~RJD zC*Vc|+tRnI3wvT@gxg{^J?sEcToEn*UKx9yu1rn)tH8|Lkh@bJ$ zl~7^_?^s{o1zb*kKI8g5P0i=P9DA=nJ~k#XqYDLMJRZu~;|M2N@)^(FtXcBihB|L- zDbNasEoUsb{^1o~76(P+y{%Dzf3X^W$AK1aLg!2=p3%xr`A<%7<(PE=vV7kLd$zK7 z*oyy1=R+JEyS~ui)LiuHDAk=~DtE;j{yj(DgdEv}<+t!>zjQiI|C8K1*13P%R=I@5 zA+*PJs_FP{gXDKQ{On% zt*neVSA8NDTb&sY%h3;b)-ldTwx3avH;uvN@bWaYi!(VS-l48-pl;h zb}#RRwSSG>>wjM-%H=Eij@r1Se91TV@BeKB*=tnEypG+hQ{{U-Oi6-cU0o@{E;CQX#^FOyP|)T6{+^!C zTeHc`>-yIiw3L;@a&mLmBa^@X{_x?$?MTV3$cQkChu48_BQ5!3t8;yl`NwTYr{n%J z`C-;^b@44tJd}B_P)%0<*aJ=rupQ{V6|_f+&2^$aU1rOyNfG>{cME6OXGtHs=jM#lu-FLwOw{6j8*}OY8^pJ0E0ndkEqESz(UO} zsJc~j8&Oy|I5_bAq~7`7++INUh8+lso8$g<-~H+q2}=?NJ_}_z1xnRlxd2&P7pOKY zJaXiS%mWdO0`>ws?Ne;Nc;Wl(sXPTHTPR{eFtT#$Rhb=6rqI;miNtngcWRE4kD4cM zX&wU%Sr;<>6W`9Ccr7-3+;zTq5Ghiq}ZB+2B!OUEPq!}8>kK!%x=~1 z09QDQIM)MSFT0h8pkTD!9lbVWTgX<)k9n=PyBPA;3W^&X8ZooQm2?BvfH|e+`?3pP zWP&uI|5?Y^THwpMwhQ!U0e468Tm7*$a66xe$M?#CmzRmooOx&9y@o-%6(t5MFXk{e zo$|59osHP$GMX@dJ~k+&w*F<+jx@)r*8&d^Koc5D1-0Q$_xyvR|5%m$k(!gkfnaU# z@tv_uJ%`Gh!xfIoT8Wr&;)b9{wg*ez{zCOLTwKtEFwi#XoCU!v-t{S}0?GLh$9nI9 zh?%=TKsfKRSO;cR^ywqPGFpeTBYN242r9Dl_)6Gq~f$& z$zkhbc0~b4P~xkdVyVn~%fTXU^Ur`-?TYAZV02#D*wCo6ApQ~QiP85LWS~@eZ%P@j z%a57DOI^xYpb%xlE!~L|4&sWLCdw0(NY}_Y-bTjBYRTpM$C@U;e%@X3uR|<;8L$nE zn^lL7p8ovp>m)Jz7{+-l^kL!=*-tq^Fz*}ijX^&C9d0Q z-MmlMonIBKQ$BY3@42|Sx<1`0+TGbCu`+Kpl|J5&!9w}g%E+YxN;GEt!PYj5dNMUY zCE1Q!`*RaeZJCZEqs10a${j|5^ImYde|KKHPEB53eud*;0K*1h^ikI$kcc!@6D%RN z5dz&3aV^$`$syY%Of+3@q%31054PER%Jx}A_Z1EZWGYS$_qD=wnzkgJcQ3I$CUDt&ph8$v$WE;#d|DpnaN?Zf0zL5W>NVXpu$`eYLF94Tb1Fq^|y$(powAY2*RG@aZg|qLvhRURFNBeJ`X^*`si!S8)N-Hmk_s0rvFZ3(O z^Hly0JUBI{%j&HArg(y_FZ~ueFDGC4rfa~$d!R7}olFzT?!E9KXX-2unUUZJdMOlq(d9q0Idi zjH%?#my+$=x@}J1ZDMj?SE?)`_l`QZawCed>#%*r9AX3)lMV(XeDHo(2pG6SbhdDB zAY3iVqPv$onc0y0hyo=C5+@=w;<{1q5s}}m@sze49!QTeGH>=_W@kS%GvOW`R|qz{ z#oN_%{pcOGC=V#Yx2nPRx<5P{>jjeU9H8d-G-$d|f?A%sj*h9~U`L{;Ciq#hdK|o= zTINa#q?LXkzffLjNtj2}0pGnpJJx>Ea;n?GcgRX^tD;6GAOQR4K-Uim887Ud-VLMN5bfXfQ=A<14fBR*Sidxn4}!M7$D00zx|m7nmuI)ifLR2 z=GFiEd;gvXhmN|!twQAQjAqB)ea1PVNsGWR(*Rad^?{y5E_UAo4HV*dA9s^teYUP6I*)x*cU12?AV+ANkw6L&P@s=&b@l#57O8&T~ zcI04y-Ko&GuGRU_5eLw$+=F|C@@3OoHsYlIE~0PMUDZJ3Dlm$dJs~d7g5Y+r45}T% zLqnOjN7QgBdZ*aza)PFA^R*&EBuhJJkmJa!%Y$z4kk?LzO_0fe{_*0*2Re;I)dWRZ zG6XslqqfZC4#|}LShWr#Bja|Pr9^5})M?0YvtGXB(^=mqr6n?a21rwK8P<2doWR>m zsQ8QY4Q0NvXr77|fx5B7t$NYZPv&ZO7Ku>07uShmYv5a}Kjx=G77Yxw``-UMg?iV% zj||jhK(I@2prn@@||>1SVV&pxMx}3mrN$UmURU4g3OicfQ@eOb)~tVdwsk zyAn~e)YmY7eK4x5okINlRt-T^L)Bg`#q$RO@?5I(m4R3D;$AdFdtZ1cbWj|Nom*xn z$CT7?!kr1isTQqKAv;C$^ET`2U+LX3F^I}_swA6E&D6x;yeBiNgM^=kXJRU_0>VQ{Zd-AV;c7Enkg${M3LM3V^maY^#B{RA+12| z%`ksP3{=EUAl<_k%&dP_K>^QhYu)!J5MJ%c-IUeY;6k;sx;Vo90||pj-*HN~W?wI?P8!M8^t! zrwOo~*3DYz)NAF=;q7zus3=BoEC1cG`W@)Y>{VA5Pd6aAv(ts#!b4s|M^C?wI@Ol^ zf9ymWVln0iz%VG#jY)sBvQ2(b^eQ2g-JS%YFy6SkUKCCk#c;6Dev7<{i9h+}kcz#WCvk6bg|$D)pC zkGPy%E|vTJ7LJ#je$6nkx}K=)6Y4&<+-!&v3&FUx>Jqf6?NrHaR^N@1WX2O!Y|Z?N zWOsE@;_I)zJHz8j=(0AOeti|1KnI4AY=<+s=)exgAe%E_151NI6JnNKQNs%8fMFE( zcGbPPPfF0*npx!%4ba`Pt5A9JIyGR|b}tWO0%|TWRzpwg<0s=@2By~5U<|7=G*4p8 zBc(5%NU?-ltPrW#%jYuFzim$2Jy;tKmk^=DQXO%w%jI11)WMU9^!$pAlV7b*9l{L0 zaOBJDEAhj1e-eRnX#>PVfKaSLg9@Mnk4kPr+cHpLqMi+yRPiOlu&Y5HU6u$d-ViQy zsa}G<#Z#wGC#}ZazklEQ)IrSP`O_7yFVkhgf+_YIM*?h!xaugnvg4ooINH;LWxqWA zT_1AYQa}pkG!J2PjK_<3wxm^|^3bcDxDy>El|$+HvTvlX@Gka31t~E)1X9Z>So&UH zMeXwz5vaCRugJt>txXb@sRcD3Dsnuo;o!NO>%o^dX}{Z63$&%fd0!6)oTOcrEv*wS zs`YX5Mb0ntY|!N^^S+++SOJHiSs=82oj$34Kg%`AuhhQR|b zHYc6+@{4Z;&jkSJueOHoamW<$5z$J2hpvE@;xyou^+uh6+6HMc*fwJm&;?AhW}r3;(Q3(h0BH;Aoa|^B_`f|nL&j;U5T5;WZ>C+X z_CDP4M^zEyI|y>d1vRvN*SYB|?B#WHTjxq~2jP7mSo$V`>Z=C>u)hSQigYCnXxNjb zia9|`Jr=AxU<_5SSOj!quX$G~JGG+Lg%#66sFqAZ^_#09T*Q0-{Ngck?Oqrq*KGt)Mz6(IF_uxJ8P%1pqN7*m_f{{1?ram6o3E$15)%gw zE`NN)=a>+`);a~bidGk9Wsbab?8cVoD>rzZ^@^eE(n zKl8TGTqz_a=vcFKbzmDv8#8 z`+w-J|GRI{eppabOUq{BO(1Khfpaq(q_lum^ao39g6rB3y;97x4 z4d=ShK^98}N0K@et1gYFgNlJEh`JjSw0|Niv~-Pw!PiGWi4KYaD_#~HYgOptuC~rZ z<>a>(!Wp@B;ak$~aYG6y0igB&xiRpa{*MOcJ(V9&esF|jSw{bK&ah z)u;xO(CrhnQ9Qo?Gy+yfHb@h$^ClXcpS@NVFRgx0F?i}vMSr3|uyqq3m2hGZ7pHLi ztHdSox=8c!5@C%x3E5f804USgqpQuqB6;%B#3xeW|O z!~Omfm2N+tW@0N}j4909=RK1X%`XSv>65z$>DKij$$=hv=Fij7Mty%%n|$ZhljEH8 zq0geU)VL)%>|k_gFZ=5VGn=P>>?5b)|v}0j}Av(SQL#eC?KYekLLp! zC6*@>3c0u~@2lL5u!*F9Hj#t)fE(T?EXRTxCL(@BrKwy>tFA5*`m*l*e$B3tSa#B*RzYk;XpA3_f$p6UrzxNihSf^fVqMqv(qLe;zkoCyHH%DYU#2Y>O z>y>cbU*^xVGewUx)47D0G@c512MoDW)XM%XFaK#ROs{A=ofNfNIg2Zcp7L?0eMC8gV>Lp)qvtvV8fSv%oFR!WLV+d3fD-g{fKvf^i`gL{d@R0vRSo?Fz$;#MZHk9?GYKBi}@n1tW~@u{F8k5vy{W{s4U_!t|OB9J8WXeB~L!& zY*okbVn1~n@854MNy~8@sCtzGf({G}Om$~iB9Vw=H9lqF^Dp-c0p~YA-@Zq9ydimb zVBivv!w5^YdgFT=6|%l#(7uS!qm!eD0`#3<)EG@z=^rx8yrYTr7!u+mMo}ftjRWflh$p(LZik=`-;(w zouxV>Xw&?UR>q4NO{iU(44821mdYWz9k1WlqX@w5P7RZ=na$tdL_?uRlREl@^yIxb z^VudW)Cz%bvcXe_U{mgvHgfVP3bi0CG_3y5Nq5j@-3o|g^4?rBY9&TcWUkR}PC@m` zE&3%IDZ$T-zhtM1vPgHo*)|0PFN1rW)IBnPp3#xizc=HMZ=hr5frIKS+wjARhKUc1 z9wUf*XV&(9o4&4<(MoVunU4O|}RkH{+iqr@K4b3q8A6y7ZJ zuikW%h@EM>s1@80ZXGv&>~}V{*%)>r|J&;v%T{?$s=!Q8XWGJ{s z0uSa|u;)nkgu1k)2l&k5o;OvdUL(|qEz&jSh)DD1jIf`C1|T&Yx^WqT+V%nts8+ME z0TZKj2J0>~?ovvoF*QkmP_G38pADfH@RDULQRC@Oa`P z!!s5& zJOQ;Z1mqzmjMH0Sehaw>YDyQ}u17eM8sg7PT8U5g8}o5gwDyeHz;_O`Ne;C@ql@PR zArU}G#tgwq8*-4lwAahCIZHPrr~$H-D1N;R$f4x1>j^lFXFR~{V4oq2*rxG$vhR)x zq%9Eq+Y+amD5Td}aob}ZH6(fzfhmNG^w;47~_RuQg!90B%7$JBR z@=2F}vDF4@b=$0}S5ZHN%)@#5Di<2Ub)hY|TnI>maJYy;bEznMsFg5`#eqQpCdf;; zJ$g@oWa9%xE5utO_ZmvU9jSp79YR?Cx;{$};eZ7|Z^IFfkL4^J8_Qf{zmhzDrgNov z0nw_A>yDmbd$0)#3~(-aloAMpr^NjEUgYmUlP#6YEtpI0SlRTU9G+HfE{7u2+eC!% z!dDFkhYRlV7eJH*eR2?EhYRvRcZlDDN+tsO!UthG=Qs-;Z)>Z#ErND$6R;dP_jkV! zlqOXh0ZvxrIf8g~O{o1yc)?SzPRW%Lx*}bhi)}zvx?7+i1}s(}UbuZTMVXB4aP|uI{&-|@~b|hYvf1xs|i~j(w0#5 zCEwpzG)`ZXFC!db4oAD0kc;tt&Y5VGw{$V8{N0k-B!`Bw^^Ds(m1_y{G2eY47*e^M zsEhGl_>CMC9(f=XkluA z<`oj8V{Y(+%?R}xl$9WOE*7Y}EVF;GUaqNzx?ZWDKzz==rL?x$-WOG-I{0$N&o2?> z*Pkm&~70NkhLCpgf@*&i1TyMmuK@&Hk7zMO} z-iE6Oh5be_zFygK&k*j#6?tMY0NH)M3#fi5bqB6|(^+^EOT5QLK~2J^8!%2sf1^C7 zg`9|Ul``;W$f^H3P@tx>&?98S@|!9^g+FU`ER)YpdLwKYYYmhybZR71JEKDu-Yi9j1f*rz4%wndjcDd#A6&M%%>S5p9>g6QJ+NOoC#_OiUce- z{Dj|C{-GLE!)#~(1|+mezwwZRKpXq>wj5%kt| zl^bTqTtJc`)%bnO17wGz#bfS8<0;sKc{LP`ptG;te%D4^l&p+t;&ASHo1Z@LueNIS zwak6AI2OZWRI8VJ`WX%n<=J+0tL6Nw4;%{bt=fJt|T=@}59Y@q&aFfAeeu}&M`Q>?_7TKXvt zM2nNkfsRSPRd3U{t?gchbBD2!t=9A1rv$uBc5u7y9=TdPmnsNYjLxOMtNQ2-9>I}) zOk`2(kU}O65WZUbKKn_u7Tk<*Hy$I++%x6LJ)sXR`DveKy(Sf-pTFg!JoNB5G}Wie z@h3eKtZ@kDvANsYUTxF{{cizz>!id?U>a)oHIa=;xbKX{nH;FXUKFJ$voH!C^Ev*0 zeV<&d9Dl)GY}B)Ih6^t3Cdd5x53q1TH&ZF;uBm$2=5L1sp7BviM<25<-WcxJBVWKZ zbXw2-R=2I800`zzQ@cLHMk+_Y>V*t7@dG+{k%m~X;HYDtg#?l?q!S_Rh@ZJKM3sgw ze4T&v^aVk!;p%u)K7R+S*l;&PNpCF!-*cxt6LpEN(O6W;bGs`^f{mY=2Qk0?ByGY| zP()ZL)+}=t27e$|cJy>qE~I8-^~+6TN1*jk5iW{OdMjGKax#%UAn$I* z#lOVuat;r)z-wkymy8@Fvr%uraSUb-oDmCW^(#^-7Y-$wRs7JJ9*|JxZV|E~MqTDX zvG%TrhaALkgMT)!hCYPx+N7Ai?W8C3NZ;%YE7ak=63^d~CxbAe$+M7ABz3I*<-IMQ zpDfvc1P=?d8m#qZM2XGP2Dv_g80t-)ytVGP@UB~jN~TgKw$4zGW}b)SMAq=mo>CS>tz!~M#+1W9uwi2-1#vZU6$;&l3Bpk>Pf zdMpr2ydkQCz4z0$DKr!M)lUC`T!}ICss=ng71CJdWu;!Wex^8^F5E%l`=S><&8W`( z*6!X*gw`3eqNmD$L%IF^I8d(3yj3gV*PijuS6lfjs^li*^gHd%f?Y6Di|DLw*Nw#j zLd6Is+!_jG1|{wVX&{U};FVrY?n;ECn1JkW)1g4axcP)r6FQMA=~yb>Vh=rxz!~{Z#|>`x zbsqaXtEcpNG}i{2reu6aNKP%6>*1v#;Z)!Zu7pa`_AYId;_wA_=IR2*7vMc7z#0WR zdh*e`i|fL`vVkfDl-qoFqJzt9Ot!MZepX%Oqb$;M>;O7#)NsL^wOmcof=kpJHJfYV zkc}=N`_FRf{BaPU^YvJ)^=yg~)wc##=6E|#2zVkPfG~gd$|6MJYTe2w@4n#uXH6&a zOu+#{nW=2YDjFRCU+RDP^-&AH@Y=%<6cWq(3_K?S5$dv*xOC6*g2SQLlmoz3T`=&2 zxHsQG)eJ(W3-B^D0iOJ4*#E1wuYjtm?bh9bib0rkC?be-cNj=WNlJ?#A>9ooAt@*w zN;lG70@5HYARwKa&Q0C9@H_v1&KT$3G0wP$@rA)=t@WYo_Qk()& zn3|@>>Z7fkMV;dMnQrzE}-714EIRhhoXS{F1`Jf$Cu zX~9wso1rHx-W(d|K#aJ?@Bf?AsTF)8j+Go`-i;%&dk-nK$L-eBZRQ5LNsk>aI~ZcN zQ8a@Qv9Ij$D%Cv38ep5~lh!%f^zJvM34_ly%{~W+DS#HE)gIMnad7PBlfnW7XE*i= zT=%Tapj)x_+yi;JQ)0m`5w zM_b_b@0UAsL&`idj^|#COmTAxQ#`K^TR(G$!mj7&V z^iSxfZs``R+zED)+&^`oGG3zNOgRG#^tt^myVbYp0ij~CSi*Cu9JS)ny7>M+ zP(=?tC+4~mP9%;bXyPs07B%iNGsmiAK_60;@Uei7w-q0GGKh6;ZJoL1Yh}PN${A6m zs}>sTH2;leUWlkaEr(}s%-8egnKzfuVEJskhmOyGsbNLCqm$y>LAi_d%7e>apb{*{hgFhO~UKWzM@)>+AQqeJVd5dYDNx;0_VHC{4EbW#CxAj~kF@8)j zYNH>he{32`v+|S0Zhs&9!=rgB#~vkZf&VFlweWEk=*-y&y$sQIf^rX+fip&Ft)0*9 zFMPGA={DIkuMPB*upZq7(DtF92e#6Gw1=9jL7&`Ocz0fcF(R)OgzMr zkgC{|>ktHmupROUmO+uIBp#0<5as>b!t3zh!CUCg-CD@V2{^s-k5DKAMV&O0o^%?Q zma0J=_%jXCZyKEVq#?%sMMGta4@ z2*3jnr4~Ro7De2xM9Gf+V39PFtH@rdV}%xqf*r>&YDq_q8S6-O;T-Ar+NuifBv=sV z{#SV~XeL)uRZa1tbd~_Huxuec1JreT`}&gN3|%ygXo9w`>?|TB zd~hlm2$q=e#BI%2M+s<~RqLN~?vUeWB)nb!3?@holdIW4|^|K zHhvv#Lun;3?~pF){|S*z76Emacg7hN!9Wv$3Zlh$SRc0#^ zi%2j-U{kR5{b%w^)y&x2VIhYeuT6`dyO)j*hldZY?*{Hb!j_9r4110CpoyTDp86Y+YEv%*hBGbgr5}e%D z?}!sdM9o?K#=UOVu})crV-Cbs?sQK6{HW;Wj0y7+7v7$k%!=FJ4kXzg1uCwE-aa2d zdn!3gW~y-_@!iycq+v>s7`?h?!;1@N(~+oBcT`jwNDyM$a7Z_EL|h-Rn2MwgeZZWGR7ap z7gai;F$kCo&{^HT91Jg%6OgQ7yB(auy)6~V?!J{s=zRe~BDAw(?TFEzY=7Lu~5$tY4ReUhDppIvS)PoRg;^IcwRMIg?kEbE;|7V zsz^gRU^A@V+b6yYs$_Ivwj_GQKT;dFu?-RSsm^N+)y!;)jWq{nRFfHV%7Yah#hee% zbAVeOJM63=gnjemGPp=?--L(g66;SLGqrXH>IgGSI?L%*Vtp*hbX=+!+H{V#rpbMT zifBYjy<3?rDw>0~tLk6f@g}1}oy&PZ_(Fh;Y1}$_R^qPFNiDF9;6!L2>+5E_ky0mb zCidE%N;u)^??~IIf6?rl^JtHqPPd_M zv_eMk>yNaBC`dSgtWVz?Xv#blbi2YlCHrM$7F0d~vKBh%l|>7TzHm?jX_<;sZ52Y| zS1sPn4q*QB&ryT*XzRHJhj!(<=qr$p2(8Bqh#UNZ9E}KB>OPK3-5?Yw+1+yH1pqrY z$bdp9e4P9FrKUm}tOrfxvUXpkE8zbThE@cS6UgAk9lh_&k_9)QZqc|XXxkp5>^6|j&=#|RZ zcz(nf^x0s^KkYa46P~oTR{&c{LMjSms&A0@eGJuppO9-@9JXTj(mYGflNfV05BiYB zkM|Xc=A%SLa#Tl+2C9z_UdhIh^ipY+O5leyzXGBSpa2qS;DI_VOg=(OZ6Y;&!idFn zpC8u)q(vOdwJHYBTKlxl|7@qy&Q_Z~gE@LEzICu2f^gA}_kUf0GOv9Y4yuX0qUUsw zLZ_M86VT8BqTgQ@DasGZhmVM}M6rZ)nWK!e z6MrTMh`4=Z)=*0*c`=_xgg@^?wW3IKo{Sd@WsP8iQWf7S#Q^mMYf{fIXo2#;GX+gq zFY_{kh@;(>2G~v;vD|LcBKE0>c!Mzrl!GG-vVB|Y?Ot@7ZRqf0>r68z3HodhANaNv zuJ(SN!>;#0VYe$Nlsn$3woiX6GXTQd2%v8(GS(dr1r^|ZY2{@OA(xT@ZHJypp6n-D zVy`i0>zub8+WB4c1`t1k=z@Pb`q0R9Xf793 zw7e)U*pY04dew})PmI@V#DRmaxnkBeN6`cGak|V% za>CZrt$oDVeP8lSooU%w5T!dYVaiJEo0Z=V6KUpm2AKZ*Hot+#OYSM%qvUbpt}!N| zAldki@L`_9-RnDybw5ElYpT`3WMf$cnjRMESa=pI{q3L*BwcNU5>-L&Cz7hVI}?f+ zXYyUkp6Md!PSAhSAV1&u9F#ebg5KB7!v^)cD^BJzAAz)W__C26YHyf%hW4_9H|p(a z%u@HK0YpS#%WGP0_YR$B=_R{YbZU)wg3M3qd-GoM#SAtoX-NyQk9`F(KZi=4=L>rf z`-SLk5td86GBtWY7*$ikKAS@Ks$hF*C4hl6A3@1OJDCc>iAc~x2g6QI+CbjdfpQQ4 z>C175RiTMozPfe_g%qm7i=Z;BJ=6!y5&>XZeBS{8Van((2XK}X7XrAslpIc|V-=Ni zqC_Jh6bLUm-fMpX_$q+%1Hp)J1U8D}CD8bUSF;C!jtA{qr1e5yvBO3oN+D z8rZ8E+jdPsn`>Jakvg2|6Ug^X`a6_?G!AeWi>W{w08IL7(K~o3=ob-otTzW2n0chQ7njTA5-(Prx-kIfg!CXBS|ANpOrHGJWPl05 z6u!mO=`H}qRgnBu!87qz%07Y$uHz&i&hs1W#hOn~Lz7nU{q3v4K`Dn$A!ueI4!{BSyctuS?|v9Dnkm^T>xxMSi9Mbq@puF{|aX2uCb2M(z5UG6S?GU{%ww zSMycn=JaP@A*Y5ZG&Hk9B>BUwej>DL=lS!3eeAF{sA(8}H@Qj>WpNs1s_<#0zb~xg ziHurRJlo^yA$KX4K)XRLLew))J~T7LUmql4sKBKA5>(*QDh0lL7Yt+8(aLyzKAX%S z(({-4InivmmojUaN^Q3UEibtfIbOi^HY3I~T3BeI8wSorKOj=Psr81UfC3FaKfBj0 zHlgx8AoITwn+A>DjR5pN_Ih(v7pqAI!1AHbeUJI>QG!DIXAySrN*2SRjh{! zLWjS^e|8_y)0Z&q)oXk$d!j5+Quw8xXJ&FzD4skCM1^r5fPx*eZ>;%ok?i8=NW>u> z@K(gvT!SqXUI1u)+)OS+oc_Qa?c)2E7q< zlHdcS&I(|iswq(VJTt%CshR1?cN<9jm`010?oc=M$u&;FH5{PWS41@jCG7BNMX0Mn zHgQ8>%0;UTeU<2?%!AKRrq=P8!4oRZYCyc1BzVo$04TZk_D_cylOozU;0r`mAYniB zpwjxvK(_co60Ed#EgduqJb?jd(F2|{871T8-ubg)Fa_4`{Bu7<+KW) z4rt|y25*L_LVOUoV|Dj5N*@&cUfCdR^`PqdB)QAM>5( z(qa~NyvEixaO)%%Ab=OF@IA}=)ofn?qGte)`=FBoqOMobR^#y(+}1*f(rOlaf!{y0 zOCdttegaZDvCcQy{uW>@U5Qb@vOz@l_%Q7e zr0K?>0rB9tQW3;{mzXc2SP^NYgo8PUMhGU69+(V5YxqQ>FYME*-A1BxkoE=bqn=CdCj!*YLp# zNCYFQH7)^mP^jK)-eDQvWkpHofdZTegg{zF>5o7bq}bhF^n`u^4+Pr)_5K#y;m$=b z8cA@u0U)I~HqL=U+1rFCA5A@IwViI*%A+~l-csS##D)&`)w5p=b%e7yD(`(JblMy* z+(6@@DxgJ%fE*IwX5Sq&MN9FjjbGgNLP&LG-Ep9Y|Xj*DqmG%AL&9ohs&_*=U zm{_w10oOp54r?AyBZJFu;qmF7j#D>c{-^xaN$qmGMHQgmGb$%xldzbpVRqusKtV7D zRTnPiv;t(wu0cDU15-{vAke{yOfCXXH}Fu#_1k|Af9VCzr=`Spza^YHG%cqlC5g!i?$a~7TV_DJN)!r&+^VNh;mmccy(NkF8N9yl^dC~dl$zF=bQB6^D?$6F ziKV4{n6~qLlZ|kkTx%H1Kz|m9EL8vZ(c~_cL+@Jj(eo)H9Bh7@dl&ESX>>4Gn>XJ!sS|EGh~p ztpeSNwnE^?Aw)5TfK_GiAcYKWY&M4Jn>z7KfnQrT}gtGShgazi{*^xP0(Fz z{Ha$aT^FQF%uW$}i@QvyhjVOwb}Gy>I-^~GAlx4TkQ0k}dUvF6@f}*0WEE7+Y92Vm zK6jaQMoWZ|(oOtJyiumQa!n`yYEOqu&(G{S!$Jr(a3ujZ7*?2+o)8k>me}6EJl`J2 zgzrV)DkT-tbS2Fl{f)~J2kVri&+35+w5V5BR!(XkZ<~1K5WK&iMsMwHObY#(67vI1 zXN0MGBG80BKQ>oHMD9qIIim%+vLd;b?f!-6kI~)yH==KIuw9|8+C7|D8DYjTh<5UH zzd5y5qR$_kKkQyMX2X0WAXi+urY+E&^`qG4Kk-xRXr0@uOzmPcnNy0;CIkJ4G3$<+ z>Xo}OJl)b_{v7^0Tt@j)f-1Q)6&`gryJQBjON?pFcfa6gn6Sz6QfC!g#hl zE45cjqOuXCh}o2FoCk=Kqs75U&sqmmID~a#F&L~54Zl`9WJPw{pTsPX%L6x^s?s#O ztQ@CNQ|~`by4W7z%q)rT3dgGb_I7WrcI>F70&%yi-Zcqo^wS?-mwXvs^yFc_l%$%{n}&{mS&NCHZkqW9Z_ppI3) zfvLfhvInHkPIMk83&M6WYmNsMRsE&I()Rv?1KM|oq@7(JnAK-ZZPtw!bz@>}*2bJ# z&@u-@ABDLBSO|;ZM~Ef(*r%AV=L|wrjkv1LF6PRzVy)n$BpX`%vF7Y9{EFEo*JgJS z>dL)*WXRqLWpy{{FJ;wvt4~!tcJcqgS`Ej%d5sILX;oXk*Z_K}v%$~=^-zqC$|+R$ zTU}ygCW1DsivJwWn6Cqe>kwa#rcB@c|U5!rn!@)L&aBp|(DFfinwNgRE^GX;@J zO=Q>(&29H*g8!G3=OCM{>!{ANeb5QVc z*+0-giCPcxPcTWslrm)056tBVV57=_p=25Rp+u9}a38FwYu|3ovz^n=;jSLN zTNgAla0Swy>*q#A3E{;2M*(9!RExN-E4=D>F(Ekd1uzYW{fq|2IaYpY|4WGq1fV{{ z%eECOWPFS;Osm~0m7!4#lGBl-Q=b|&>*Y^8HMn>_qt zf13blupsvA&&~{mPF>(@v7q_0wtg@|TU{=shfQ}Y%FpI00rpE_Drp+NvHY3Kns3h@ z2jvF~(Vv~(budJ&7P>iMlG67Z+VIp+LCTJF`1)S~9SqwkcpMzs#{5KvuRI*oC=EzG znKhI%oVa{e55E@?qWPTrA=8 z5BnVZtFS&Gv>_U5yt2Ls&FGTd>dEkfJKh?Ts`Ff{N?>~&RkdF>%6kGF2CX@Y;dH8v|7sx&(m%1EfQgK4}jpQZfRXLn-wBal7r

MfjBlUvUjCp8LFQ7p{=A>SC z%?4r$C|K}l~l%GYz5*7!PQY`zNquhc>AuESM^CyyyEiIPtxmaGx^a5Pay5Ca&JDF3tGI zGSU%d#bS5Y&w#cl-nnuD4pQ*-@g(t|x)Fxtjy0Qye~KFsaw0IcxbT#bT%8x^Uxa0~ z9`jC4yoMB={yP>qYsrC(Jp&%Ao-oc}jw*IE?bvSQE(n;$s77fADz-IX1!cf`dLnv1 zah2VSl4VP8)Sbeg&~&1t{RV{N z&S_4&=}2egYc7yd00I|s(i29AO5}RO6Lf-WtsCy&mZWkVAZLn!jyo~bE6oXe{>>w< zEl?i=$(#AoET#pL8(=UGk+sWZd@OflTMae?>h^O0Lw$o#R21L3{K|Maz^<(1JuF3+ zs!lzlhC8Y|z!df%x-wu?ar>**rO~bc$1aUq@!9r84&G&Q=5WoQAw&I`pb!YUCmTc3 ztH?qgOmjHyLikeF?juqMv5sj(|5TRA7x#CCzHTH{>AnCKb?Kv#^f9K62gp2y*6tCb zW1PcCfhC9rNHB-mJxe?e0%Jq*Fy#W$p;rY^o@1|f@NiRt)(OA^=H+tKXnR;s>T#ES zxW@986=QQC<+wO3x1e-_c!;V4d_(eQ>z3ix?;=QU;MBUx7|FU|;LdB#0f9^1S4Bn{B%O~NwjjNEe^Sh0^Q!BG45H_+?*O77!dXB* zqk(*eFi-=7AsCY%``M-Iu{#P{3Q)`wfYvnNvt@ve2#6>xn+(A<~XY?`#53pG(~nYR6fi1~#)2QS5`lx`*YJh^{kSayM|b6J^_u(*^R74C$v zs#vSs8p}89#wbH*Ml81!5XvROf17P&#YN^0eHSct-^Umu;3c&2ZdGS%BtZ%|GJUh| zp`O*&{w>I|#gA~`>wRd*`snqwo_Qa(m6N&GdIdAcyxyhXY~maYCq$+;83QDnm~(8D z!w9_9)V`tXTqlq9i77%c{`$q1&33Alp4Xw2hv?#>#fu(}ub~iyX2vtl?4;^nPB7eB zATvXH@CU2DB$uhz&a)~lZ=@#+>b$tU_c9#)*gUsJ0N#)>EoCuOBZo3TO$UZCY^G&| zo-9I75rAJu7!H$7xiKdhphg{{t1Sj}G>fH>K`C0K-4aM?58xbo@`c_msEN9C*z?Kk zt&f0lq@~tm2^K%V_qyq2+@ebgdNXgvpH5uk_NEznIA{jj z-dZd>g;Glep+p1#5IUN48v>2NG0fg63KMjXp}WQTDDRmds32zT3m~BcTBM6(z2ao% zjgr4F1B?NXDusFsNJIl%)}qtOiu?H*ZNF2F`qOM*()7ZWITD1!jZhx1qOmapRLgxk zI)dpLkp_z&E*dmXCbLkNg7b(pf`g2#v&u<(Cn<9grjpXbh#w8%qWdBl^xY0Rg7ITj zqv;_O*chGaYN_c4?ef+K7Ygn6wpuCZ3L*4>77Uu^AQ-~~v$E6@do`0vc9>mzqP%n5sN-P39^!WUBF*Xh_g}qZ zI>mTLhUu4foAWw~$7J{oDDa7+F5(qzAng*nUY31J$wd|E1F-g}Dszs~Cu z+}sy#T?v%n#M^8QZl-D5-*eQw+F5BcW5eMUu?HD4U%fcaT8hWgjM2T@ofXv)!*n}( zmI_32UUX(42#~uWe?FsV=G%T#^UQjxyvQSW9-qt<=91HxJaVBA+wF!>oDyN2^Q7HL{71zosVQ>ow}@G?|H3a+;`%OCp0%3=Ud7RK9AHz7HSP z3nbFMkLpTer+aj&MyEh&`p~2PrKZUYv(o50IoOfT#W*yN zSluPa)6S1mB#RF&=*=`5=lYRfs%!Bh7vA5#BfieyxW=ME{E@WXKa9@gykO}KsR}W{ zsowe<$G>g;{3G6nqjQ>h4%qMg#MT3LbdUihUM z*DA)kXkIaH$E;z%;A_Gt_D>^+;M^QMbuSiwB{K$7 z(JAPhS30nBfA^_$;wCQL&w-Q&TdqW*{j2TUg8k^0l)U75>bHaXteHC3Cc7skmI!~R zg?(7;V+v0(#MNsax|R9M(GL$6ElR7UjXrG?eR*bnHSy|`38slteRlqg!|Jag&tWxf!ws~sH???Qo%J)^#Rc^B_GZ6D%h6H`L(+xC)@P>R3( z>=~x_eU}F*WQ&$rW}?teOYO{N%mf$n*z7HN9uWlGrm0z|JvSU0*wD767eX9N-uHX| zu;su^(@hOaReR`aNZN+>)1d7HWX0fzjB1sIeONe)*Z|3Iy!_E`Vhsk7)#xH=|hO?{zxgy3=p;QK~`~1uL#%ApXTsDnU*Dyc4*1}k}b9u@?4X&8YWSd|@ zehc;Xj7#DqTO3fMjrM-%xfU`JVG~CYx@dER`+9pjCfszRCi%$_&B9GJyMZ@I-eID? zU<_U)yP|-uvh0itf4%Rcgpu0iTXcipQi9Mpa-0NS9Itw{$NfmIwSGxFm!o~OnRiM{ za*ni(>Nq#*_ry!>y?t);$e^~sp65aok+$-%lZTo;+pq}T-Ojx-X{5PAXj(q^!_~*z zyCkHqu?^m{es4`SqqbW(7{Q?X>gi#E*c)6oqZ!0EZxpJ&OQ~D>^m1WoNznC8*1p`g zMa%PBcw-*oKKMI^52ZM7VHz(Dz7E4Ou^1^ky;{%oAfnimg+xv4U^;HUi8*y@=6v(+ z(~6z=chRxP3qTyiihC8&t2o@nj$fO@B)^FmML(?dPJMtnFXdsd%-R1Bg^|XXhmCshGz>(FcEaCqK#S%ph?;&xi4}u1#|b)(->FYnjhpk7ZP^d-Vv%x3>q$Pm!G^o z=oHzuyi@#U_9(jcIEvdF{wNk-j{n^4QEGGB_=?a{DzlX2QQ7CFtPa`{@dRw(W4Q@Q z78*Oj3z|HlT}8)YsjM_5d`a|VDV|xK?kA^y;6~C-_u;Esyu_UI+RiAy7W0S4CVcAh zlJ>f{2hV&aZ_fFW{dM{hPgG!pyU=$DnR9gTUc)Ut2*g~ih<`G?p|hZ9u^?JbT-C>8 zaW8ovp_;_bo93JHAOv63r`S8{lPb^Z!U6h|N`DX6_c)gvGVj8xSps)qnFdeeJS|=C zj{WT_cEO~WayBE2Z%I(;zLgpU12?5!!wqq(sO?rwYo{;KyaIl`(g29aqgU@ zN9^w2rBRGNk4yezC!29ubK8)-Azb_O%@LQPO8SE;?3>j3;KpP~^8UWzINT_Be1<-l5M(NQ@5%xo)R4 z5aTo#*@QFJseThgnevOdKUWEmEgtHWmmn&`8sd23o8@Zi%5K5g}cJ?i+T{iT7? z*d5Pp|M;%uKl0{h)EcD_H$Pr+p(UO4PR3o`*{{Jfjl`m_;t1{?37^L7|1r$}V^a9X zkZaO}OD{Kkl`V=jO6F$5h{+?N5bz;KRtgj?=q>;EykutmahuMg0&R1 z#U-7zd>b+Uac<#+EiT2%bp$k+PW1b@&5@3GHfG?j!zuPb%B0lfr3aR)n;=E3<16q6 z+)86}fBeM+_&#a8u5SPSmIs%XUwSg>;lqdgSX92H^Mo6ex|$s6^UwEkeL5K1D)Vh-T`i1Q%a1&dU(h9VH|WPBx+-pt*Y3inch$bB z%Z}-oIq=@g2zCCXOMI{y>=<8nuoow{^9{W8>~Y2W{cNh#6)$ZGy z>v=yiZn_-7z3Z-7{Q9*nR(|ulp84gM1$XmnHv=wi**>L) zukP3H&JH>5Cfh>n@O|8NZ8VRO(ADlz%8vn;GvK<2z9eUV91t0;J(_&6JJ=@ZSobV= zqPK?$`Dm7!TU%QN|7ZHJ?bFZT@H^05V_qQRym9C}HE7|%-QrkC z+?> zZE>Y=s=yKUhxvam%eP2D)N)mXN~)Oo)F)-G)ow41!MvO%SXZ(;YlM6_!}!-W)^&=X zsP#w$&fTDl5`Ne8b0cm|2~753g@%4ARiF&j{bTKM&R;P|WbV3+exey^i;hRG%2=Yw zEUe@4X^dq^%q`*Vr&!&CnPkp4*qO2TGVt-K3X&gb?M5Lo9f8$3?~i%RZcKXBpIU8R zs5@|9V}7|+U=xXV@cs9Y^9*o&Gs;4L24 zHhA*XA?w6HL};1qfpPc!Vt{r5Alf>0E>~ zCeB@`?yq~6hIK=r=J+ecUqf+f!K&KHDNTBT;@H|J(W>54@QV<7+4gv%-+gU2(OK zGC;b+%eg|#{Yyz^sDp6p)H8EF6fEvqJ{8@#UKiJ0Sh>r_ItC#=i;c8hEW&=rT9J~n zR@Xb-zePl`$Qex4WJmtYzWRjwCKd!BRYQ?=iW}Tkti@on5#`zQo$XhH|K5SO_}0qx zT8?6!`%;~(q@*zw#e%*(MCka;^ify}HHE-p$I7cO3Xwmq985yN5jPDh<=u_>eX`B& zLCWFy$Fmj*>muyxe zzaIV|@Tp7WVMd-~{+YCAZQ{5PF%0vpNOEar&YVJbvN!)yZG+nc=k3J*kPrLz=)~u3 zgRu4D&-=}X=GGtJy!|a)O4X%%1Z#!Z@|1|LFYeS@9D(kjr>U@p!>6o$-$9#A8daUp zn&}6V-@>_+@)97q(4Kzi#B{NWzkVi@8ijS}T4FBE@(6DsS=;>NUN{*IuBvK<*8E9i zM&d!pvT7T3DD+3NU6YS#B81m;WAUH3L!{yOJ}=!l)ZOKiMbYfIWf?0jaTsAESHjhE zt6OWfj>zIr&mt$ZxCP1gvY0)_UCgCYx^$;Ki(yDNnhW)uySS)pdTw5js+gu$ebQ6& z0k3h_+63rTbf`n;cUE;JG!qGL1<7N;N_JTNlJSOS@HxU-?S`5YWv_DyjSY%~nY)^h zneFi}a`Cy));;U}VxD+gJa0GZfouM)Kqh#0=P%(;u*Z-0lg@60cqlU%RCEVXyL zFY~u+G^Fv7SCbKMGX?O&nS->fl* zb8FeQt3`ML|9C5{Bep6PZH`iQM*u-I4QB!3=QYAOL27Q&hMAqF?B8}dKgT^ru2*VlcF5nlhq&2WJSia& zS}h;&2ABBMTmFV(-8{md*xu?%$_3On##a}X)31ffro|_}Hrw|F6PBL&7}8!j?9R&!!30Nuo()?eE=g+0R%=n! z=eMwXb*E{iDw2Bc+|AM*7!QGzPP#u=K~to}dnCo>PQqEc7ZP!IOoa_P&(Qzfkz3y9 zCsb8;W-+;TnS&9HkuiG^3vV>cOuFXo@v@B{;VzOje5-mQ^?f)T7UtXCbTZx`#g5nn zxTN-NSfq{EZ#?Pban<^Z21R%YffPgL2qyB%jJ~n97C!ouMJ2MYu8BX$ZhdKnmA#HpU^(c3vT~zn^8Ma%U9AJP3h8qA^&T zAXSC-weNS=AHTFLQBNp))))cYhZ z06Bhq{cVjuqY~s0A32f7|DkmOW)PR`Ss8@f3%jHPHs*6->lWj$M-s0-1N?FGwTuY1 zE0Z>#{qF=H2Ne}Un97JtC0tR;$jcl4>C-iCi_zbA*E*V-Zm_fGiFIy4qwO1AVtCB= zK3D1Tfc8Y`H1&}%aK9_iy}so$!-xwzMRe=*_h~Gzp7#(0&s&3MH-fX?me;sIAoqCH z!7Ie`5gkOG3#8;@$C(zG%I)&J^pz`1Es;O+we#va4Q|r@t~T~vr4zmzv^#g>K6aM& zUZ6a3JSE=p#owUgZ;Jz;d`ezxKmxWs#DU~2=`<;+krlx&0cE`K*o6L|_-2BLK3i1P z;~!b4clVII2$CZB@BZ7dLsLRnM{Ul!$3l^gMAxpNenK-Z;q;RyPo`#Pi}|a*ef!pz ztCI2g=TG_djSUz^`6W5oGdw&zKYc|rT>9+zIE9VV-LQ)-8H-lDkyplMj?0Yt%1trm z0!dj>xw^#Re#zBg&8(5`k$%ZsTDqVjKfS zj<7@TVAtZ?in{v0bw#vC2%>QtMUxNZxT1JL|o*PX6 zB)XOX&(lu9qw9CBlsEgd(?yOyddB-NI)}Tm4-9PUHSiztxlAr* z+AJGwl_vcC>!rDWepwPYh#TYfCAC>buUCkFePm#O$cS|D@Bv(7cdt;E#?8%5gTiIO z(Zj>TlzW)3kM6`Wxt+(w)t~&~-~IwTi@t#YyY1Xhl|}+GZofBgu=4WrqgrK! zxP^o$>R2V@;<>fC`RaN1Va(ZuW+Af3KYpgrQ7^Ks~gYi$u6UM4w}gs*~wuOK6m`!m(vwj1b8)cYWml=jK;Q=yD%-$6N1 z?B2aol9G~bkzBr)Z#{BcxCVeLeAW9p39b>IIF8Gu;ZC-G#fW!=)T;sTh`+z|CIf8c z?{`?;f*j%Rmw95n#>r23Snm%3>ECZH`3Ug*-!C482_|z;FLVOE0b;I~*WRARo7f(< zpc4=nhCIrv5=KM)2HAC{mhI({*3J1I5S(x85 z3p#e+S#g&uHe^XjNg+3OYyus;PPmD#_)IurNjMCC<{Qc(?+vIybt~>W0`TjpuXmD! zka<~4zjEJ}+RWxzj^9^MR4j$jF1)sLK|`Lapu`Y4*%%1kf8`terK_7;DfAPkW@Rbw zUqXTGvlEQONli;LW>y>ya@*h5%^!sMKzJ}T|qJywAsY6YV_zQM^! zD-&4{qiJejuEp;mZbq|9T!qZag+n~I@ZTYS{ z7CNz=4%Qk6^Ilv$fBrnvwj2EBX_g9Ns*HpeeSCcM4GodIv>dS;aJuu{m|$>lFcU^< zRUaR&B&NWj1*38EVL(7Av(|^4oSY#~A_gX=+sw=XI>(rS&E*lYSLMrPzCcQi#Kyt@ z1{1&v3C3YO3eAlhU&JDWRrQaL4ryp;E?vLg_i_w}%Js|kcoLMjs`p1$O295k;onmw zFuHfJ%#HzOFFc1GX>LNcutr$i+|m+XRu(y4=fx9t1_vi3IQTmZZ4n}laQq%CQUdV!lj!2HWRK&c_7|SI zf2>RIu&}5OuUhNs>bAuQ6!XmsTTPtam}$R7OY51KNK;6l3%_yQ>=H-95vG0{?<4vqulb3*No^;o!hk z?i~#!r}=MQZ5K3GnZwHHOC8vj;KZ0(WVOC_w6>ar?bdU=dHWVD3|A$iu+(&KeVSar z-Vf|L-Ap2%F3vR=Cf@h~4R`hXMV3D+D>+~k5C!hGTe#PO1bWv(x#y7Q(pYsI_yc6L z0Zc_xFt1p91bzVIc5IN$!n8m1G;0^NpA3%~a z3fRAJky4;7N5YmYUMR(K%XTb>5$^$%LQ=}g*Fi>-%A)#^8~ZHoA22WdL(JAoD(%el z^b4=NsNBODaw>vhI7%4uh+sgiXtM`;6%A&vPhKbUR4Z0LP)yj`*w|2d+I?ydgDHx% zTNYgQ4<`+vwpv2($WxD}F)D z*wobYC%;oz0PS9gw_;GJK3L(zLFk*r=d&F+-jX4D|H6^W90jo0?Q@6((WT$U5H#al2fbqj2U}Z84;EH)qv4sv6 zHuhkNm7a~7nAn+!hzMK?{$5br5$AwiP-HsTJ<+;_*;fMpxh8}dvC+2Kg(t~m7@ z#F{HWyZI%VHZuc*FWfgfJG=TP7!n?JvS(OAgM;sjilPMUmyDiNc^tb>Oiqpral>IT z48A5=F0KO{L`#^CyCg)JFzHJK_5no2wMd=J8XV6PW#tBtob3QhQmb%eqjFt6#bMa7 zX=^lLARa(I-aw?I565m>G#@O)l@GqY^vul3d3g$Eb*)?I;V{@S>oC_T=;Oy)kUw^U zw*kT1pQ2%N#r@Uia0o;ClhAM$4)=SerkO*YVUJ~HlVL-)uTUT+06B{3SXGP;3eC%tK)l}_x-S!vW)?Hd_HnYhCc_iAhOp9!Cc~ls2HLkq?%Y zEF04TGiQ1a!Z{>mWRR$bX+flc75CuaKte*|*+OsHZ|E`zZ#O_0w1wA#%YRyK&!m#E zRbZzB>eygbaL`*;r7!|qt$Px+lu7_A08~4PW4e)pPqt(0&KEv zB<@322D?&Ia7Ft03y)UKedL+$MXRc zJm%zZ>>{C?)#MK=P#I^_{SNGu`@5Sxa&l3QENXeDA^4@0i*=Qqh3L0i%?Jt0n#5Yh z#^TuYet<05y2^eilg1Ai7L@yR=!o?D0piLU%$SF6R3a}4z|K;L_{2BLj@OkAOEM7Foh6kcYnWF z!cjF_Q_|6q_kky_vE2b2)$mq@(A)DVaj{z)_VeBELFNUNS5R{UIaFYzuG@o#Oac2- zA##w|3!1@eq$axPk3^rP-r(`s;p9Y+3^=>-YXIlyNR$j=#ZBm2OG`^bz=D*l3{YyH zJvb0?4KVIWUOU+6RFsz&m6pZ@eVk17!VeHrtVAzf2Ygf-d^k0=^~dsw4-CIbZRq&; z_&$Y(=D8nYIArw+FI}p6bqZUy{Jp1V?3N87A>qX0;_w8UVzP8?W20Bn<1j3l$+j3- zI!FYz-bcs6ntDMc16flZi09wDd9yn!a@-8*uaB>90z?_+F2e90V5BPK7Z%#BWH%s} zK7W;#bIiO-zxfJGK^1@a@ZIoph@9uoodnaGQ<*9Z5Gv04vQ#~T7{FYo$mHl?@7ne2 zRuE4Y4e`Kmz`VS?Uj@cjk@;|mFR7^~u56J9L{ zx{FL6fg|K$xwl=X2e+P-l$5De9vUc&IXS)K4yNd`C`BNqhTOstbi^PC)SYVjNMx%G zFCpgjNnFoj394IH$jPM#vb7}P1x;GPG4tE94$ts6jN@?rURS3OP0!V)3?J@)w-0eGXkB-!~|pA`Ql5f3{em^uFYEaE?$2M`$k fe((RLM>?ibxZ=7wK+uXpz9hwDA7q@d#W@b%h);zQ3k$V#IMP3349tR!@3JOU|Qd9{F3c3;s>TUIVSV&46Yia}J!0jZa z;iPP9;^g|x!5B*Jo0FZDt&^3x0g;QbgQK~v4J!jX12Y|wnUj;9BM&2^^?wR5*gBXp zE_}Oehg9;xPEykm3JT@hpZA+0fkJbrH&9SgqCzTe>Bpn@N?!5kLG~ zV0~`^ocgh(Rm)MXC^lQvZrRu}Lr^fICw2lr{ezW+(|?^pLo@Ve?hnL>lNqUSXK z$=voNal`n}rI&zDZSeoO?mqLq9?U)LG2ZB+_YKPMriI z;flMtxy{`a%4Zl1$5X4(hpm)kQT(UrPr$IyP=lwt3!N6H4~&eJI*siPJMeqJEYq{K z_IMgq`0vHag;SOK0v!*Bv^qLEWl9v2;Q#hK`8^_H@8o1m2Cu79y~Ql#YPSoL00gXY zc%3(1-rg~iWRQA?ER0bB|Lyi!w#iuP&cn+_PmrTmrTO$PHtVIUgbqp?8hB1l&Nwz) zT-@~Z^x)uNw*sIW28r94A-2M4+X;!rY&Z@Y$mLU+h0%0Tqwc%XCHskMYpgDdCGYcn z$gyPiN%vnzaaHg0hOn=y(9h{>e~Mq<#oD&MpNmVrYmoV>`hnNB{ZD1PKoVdBdYT6(y-#3Jvi?7vd5K&T7Q!gwmBp1*oNKZ{omE8dT8f7=Qow-^IIhusf zt1GA4tGYTiHk^prj=j}peA55k+&vv#UH7X&rx_g&51#7kYBlY$4}T3*H0M=I2k6ZlKCHT^7jH}`?gl{p?>-#^!#wW*y_p%g&N{-Jd(Jvu_08c*Z!H= z;2jb!htcKsklM3e_1C!nieBDgt!diR38b8zU6qtp*H0MD8Y8L9M3KK51>V9vxm#^Lf2}mE94&M2nWC;erEdK;(YXWB2NNkJWIefRw3uhmwd@jsqB{hMT&V} zidCTKbX(#(Umn6BcM-Ag=*$UQ9NI zZS0Pl0Q+d(8QtQIgk6ZNRk_|Ay9M>tJPQbS(`lIEu zbldNKHL)XGfda3QR4QxLl~$*)Rpq(!JD1bPQ0;)ty3eaHQKQ~FLcev9#}|8heovHH zTOsgFY#xor+kC-}h{IPn6?fR&(|vc$Z+Y!ORq~j7x`vfv`r*pHI{ySDbvSp;ZCa(6 zdpZY~_8=F{!;{mBD?I#5)kudKu*O@y6j&!HRC~-K{ zV6hr1>c{S-6xt6+ZE2Lw+|IYm0_pI(r_-Y8GaOE3TH!!%8R8g8hf&APaZ(?C$FOAu zR6CW$iP7Z*M%;Lz^1+U}1($1rBgUXhA_i=APxg#bj6CgY)MlRwc1al((F;A^e3(_H ze6rkYfxw&Y4!p)BbUU$C(^SnCex9E*s&O?hi3ufvx#JR&@J(MOBPBea>6XBrLX{(N z9(;ydM`604j=?Z22|`?%%kc~{+l6RH*k(Mrz40RLdSSIDrj~&yDS%UOJ`%2A>DZF& zYzan#ZVM5u7W(saVLl$0;M7um_Q>)>k=5+gLjz|A{ZV#^_d$npS0hPQ zn9@WlGd5R=9z(4`hxiZZ<%X#GQbLHBsK2LXL zZ9_vt>3r_7nzbf5(+A0H=1RyQ14Ji<3?4B90}>Y(7mBl!)mBcRLe<gsD-)MPWH>UcwNl%2fN_h))%(O#4VPXRmLbU!Nig`JWOgT}h&;jjr^-NEQ;>$c#^M zcY~j48cM|GjeDZ0x9^^vr!1VKlS+eE?^5!!o`T|?X`|JP!dpBAqNOEQYsL)-mN!7z zMW-^usrnOQD-w(O7%ph0F-+gcmX6flL~~&ZYGo5i(I(~~!Ltq7N(R?z-8-@v98gKC zUz@C!&5}`4Oq;u@cPukS#Ef+kF*8gWWTIlUCs(e0q6QQ)U##!DYf&cHd^Fp!^_ z50^Wd-R?SAXNZ)P;at${n}uVn{<5AQR~4$U zJbeiE^el-m5`L0H6O)Y%JHUF_Vr}Yp>rO!|uOD^O%Q4NKc|{;(GE~ECb83Z83Q$U% zKxkbTJJUf);My+@cdI2taV)P-Cn4pM2=3WMuOCn&@UbQIE+}?!zo?W2PlsdYzkpFf zXw|Zdbg)}}o}(oT$jWQmUKe~XU=D9Vl=dfDbwWae?d{b^tGFp)2p8bpH`%8XZ-N** z$*%VmQ4<*@4)=qtv-k&P5=d+|d-+OHeyhuL_P3UBTAGxTa5D!m^t7@V_c#S|5~gl- zY^he0p|Rd(G^aeu-&VI%X$|`o13I7u4J*I(&v6&cNOO$qOZ2Y3w`eTssT*TWnK9;T ze6rE1Cs3+%D0);7_1t-9?m0(7tNA7k#q%?e7ml-&ty2yxKNy-M!Z0DmxeI;?oLmE4oEe0wH|uOfA_kN^4G(x5b6G`}OS?UmkRoLq2LxdH7kX2np~Z z-YIhwoJ6?wCufG_8&fQ$26e}`m}gbVm3I>L_7xiGkOv2<>+}NjXZ+9NX{5E(lfRH% z8#B7cYngW7>UO((*);*>F@+U|M|vM`#S_X2+Gqq$Bl-FKXFz*zvk}_fvtSR;=}NwO zTArS4DWV!5RbVbl+)tVs=>Q}STgdx?FitTW3laK(ZPNI4NeUYE1VHfB#V;LJLbcn> zk+D1bvW!f5#=e+=h#%&&P{h?uVJM;O?s1? z%;5xIhBqIbUU&r3p8^sA+O^ijJDEvQkM-m)=6oQOR6h<{%$-%&?M}OC?)XUdx5?t9H(sXCFS<9a|oXwvp z5_%|*aaYP>;WsW`EW@1kRM>FX?Qq=kA{tS6kuJ?7Jl|6q5dzhEo33RqQap|)fuaVN zTvJ_aBEt$1ww9uZ@0315y-+?^F|G?{g?QgL^k|gMi7g%~U!k1Fwz#~3YQaqsq8Rw) zE;04GnEB{Fu!@kDm@zSs67^Bh=Nvn520b=O?mOZZv(76U{Pp*cLB96M)emeVhV*Aj zkMGZZc{P7k78i%rZm`NR9Eha&am3magtFHN@)^NFPDd+H3QyW``nESaMg$b)CtjBi>^3vd1&te zuFz)`s*a<#cQ?@TuPu~E26#lI>=}21X7K2)L(?pz>O_p%Fel{G2oK?5l+i`(gCi>A z+?BF{zd)a-kgX*M-9b;@_4KKX9U{2L3YWJajpp@c+NC0RY^h>CzQk2b^T`jQ8A!Qi z)9K6I?e@l-HUgs%dwA0ZKz2GO!p8!3Zz%b}5Af5*jY{1H@Vj9Tz|vLQh;73g8J9%c z-^WWi^cSE>s^Dx@m8K6G6$uc^J;a>s=joXdhP*qu9x=k>JSlf?$fyfWQw_~RI}22m zl#$-K2`SYy2i_#G$d&9QpV<$J$ZIU9Z<6HMGw8khUe}90Zp)R9(Zmnlws|)`x01CD zznxGL<8#v_47KV_@5VyUbb% zRe4ZSW}xG{pXyOe#jO2>51X7!TBc=Ml07-M$Up+zF4kOE)MhhblI;8;x$Km{^@V|Y zXMYi^-zp)`9ZQ=ccbql467@j~U-~O~9O*Tc-|3ujoYCr-jHH!{WSEEcCadg)U%=tJ-9IB(Ygdyeh)V!{- zE)R85EvFq9P2`TQ5?a|%N^o#s>+bG}f&Sdl^wb2b63#1Pa%vcXTJJp^emRFzCJg~o zBv!`-*US@Ef&ze4u-qVgc;*K_*9Zsp5yPXemhGW~JA-YsdDooJ0y7U8ESav-s-xVM zDuE@Bl2cJ9!moo~@WE};x-8=_85m7(_j_#P*s9etVJps&>!Z%chm*Q2-Q2h!MyyJy z+Sul!SSWgqbOOzw5lh&aWxZA;0bn>1pI6pH*>MVD-InF_0FPH&lTZYn&Lf6j_3a($ zyVnHNm`oPFC&6CcOXW<7g*4y3e@4J!n#@r|zZ&NL+|+c+ROq{A7^^lhl0ah2=Z5|i z8y4v+rL}+*(ha+c&=tWj>^224`?izS7aJ%C(etf=Ii_5Ih~5itse5aNhu5z~TVTBQ zRVhSI|BZkK$tK(Yks*kbSJ&}gxRQ)bp$X?zF`Bo%cY&;2cf2u8GYkVkkH01XP8cUZ z`dnF{$z1t6BKqx6(Qk&BUWbI(dneMmp}WcI_x32!LsHA;-}G9$1eX%^CmynxrPNd^ zZJ(ata$YOe85NuATKl|r%r(#h92V8bD|vf|^j*^OF|Hi?3c}$OyZT@AqLt?tE>7U% ztRZT(aoWR2CbXI32%s{GoYp`?IIXqdQ8zr*&QP*JqbVm#g%1ZVn6bLKn@(!dD+1 zcx)a(Uxpkb4j?1kH>fWeMGnOW59PZOgYkksR#B~+08$dZ(anb76iXqZBpIqSW?j#! zP(;^PA_npdYxSN*@8>rV1GCWrKaxT>UF!(H=h;^-JsNCZ-g z-So4>?Qgf!7|o`xil}h1Z<8doe8aFvOh!i82q+R+$-zRUVmHEYKYGWJL)rl>jcu*W zdx}dvn;mGMaDKF^j}IIc#wdJ1fQJcxluz(by|;2gc?*OwDHxC#$f=%Ah7qdhi@0{8 zHfhIoocdWIxeZ^tuKdacZd2ykYgwo}g>~RQcpTk(mPyxzEPoRc5;@0g?^`u-s~&xD z58uQ^qf=RJOqU(~Q4Rb4xVBtnJMcL0uuR*&yE-{}6`Z)9EcN|>hO2pzmy_#TUCrq5 zeq=G5$WGezJ!`+6Fk{mc3EJA+!l3~i7YwB z-DXKCNQ;@@9`=}E(BLl7fA;5K_j9C0Y2)kZB%1t;QWqGH#qfoNQG<*oqR)$^vW80A znZ$fi#w{d(*~bQf_aw{nEjB z^*fBMik?h^`O@d7Kf^M@h5^PUx%lQ%q%#{rKaV_-h3%3 z*I;x;-pi;PZ5aB76J3|g$sxBK*LH^+*H@bvvw&UconY;ehtO)C4z}0}zTDC?>qv*3 zr)HWY0=3psZa%GP-m|zlyKt|Y}Gy74n3yBuNZWOe%v1d5km@ALlX6BNEfT{t0r-l)T(L zsH3~R2Fn*wL)1%jt%4?$%rW|Bfx})rgL?KUZ(yC@^293Acxz2N4TAL#6@zAJ)DPQJ zn5f0?pt z{8zI}5{HK&yQPcSV?_6b=G?v@+^VKZNixh%$RhpKt*^CMnwNdm_c=5-pRM_+2Wcb4={&_{#=_nJAq+o4qx;xB#j%n z%LWd}uCj!sv=^efQGCxW03>%(AEm zY}c{n^mg-Nr(9cZp2V_e)vHzi+()XqGGg+}Yp32wZ->fl%?s4$o!_-LpczpBZPq#$ zYTRl9;Fos0zASUzw-*$~KJ2|koQ(O58c|wsbO!3po;6T@MPnI1>HmlylI!lejd2uX z@50#v(fqkEg%ul-hHrYL9v$D9fxmvjKfq1*)XTP-c|UNmHFSPUd6A@FGlhmp_x;KV zPdrMT#f2^~9zB-BS~yolxWw7!Nn_15pBply>MO1$HyMGl3|l??gsk2pR=;jDyX#rs ztaM_Gk9JId=Ch;L4&YF_EH5o7wKZMHS0p82Ra8_!{D5#Nvi;k8m?VQ^aD-mJ zA>u40D{BPm@W$*^ck_-2^cCKU!IzzSdz+q@opi5bf*TP!^A4={3yZsn8@xC?iGJl^ zJTg(R!soD4;Qm4{Qgb0+uZf~(5>-mv=Vg{rB0>mpJS{gfJigt=F1`{FNLIza|DY;S z&nbnl>Wv%}yX&}*j)QT~TqowC!@_}i`kTf|HGcs2Y{7)=m%+qQvv04{^;(d`GxbtF ze2Fk}K7WXBTuHL~%`2l~=R{bN%;RTul0+Q!&~b~b(YU67o0x?1P?K}AEfO4r0RuM! zeyazN8A}^rOg#CN_KoMbVo`p8cb}S=*3-x>h6Jan#|wYpPjcPGt3K49^vARg1wWC& zaEd!yEqJfylyG}muFOOtO1m9kVU$wQ@^LSLTh%G&Z~ffO5O3KeCAk5o72Tyn!UU|Y z2(A_XtqiUclDENImP(~LDt;*ZAlDr5pbdq&=}meK7oSFfV#=uMScrV-*5L;MsJHSD zwd-dEb%aYXzggdS%`_q@h4`Cic}o~r{j^V0ela^{ze?kXc6=Py=y-Dndz{eUY{qy~ zMNxS>IdNM{hM2P|chQGi8zqFN(!qcJdV%Cz0f^) zV&ez8Y%XDMEg`*7K7Cf{6cFQ!!2bw&Aeb!;ap{s1bKJgG&c`^fx!Z56?%D#QEjHS~ zR^*$|X*EDzpuxZ>IFfkw4tG|s(+CynNW_nsjFRM<%DkSZZRCWst@YCQoF+l~V4<4y zXs$d@zthJAklp!wgX`ntgHCVZe(asWvY0KQpSFN>})m*i~)D z#oRt#64Bau?>;nJ&OBEUAj9AXdm3asxO16DOOg2xr0T^7n(|YW8VT{%@&R{yI-1U7 zIlzHYN(`jbx+4$=Gfgv(V%hg{DLuG^pM&a6iuV+V)lp3Q&XVb}d$7_O;XfMqm-wjS z(CvhFHIc0+nvXa7zUl;rjEbckXT(V6?-Q(XJa-hLFz1sIQ741>_IyQdC)}*!+U?rG z$F|nV_thuZkKcMG>TDGbV@P|)QjJlY-Y(3PhY=J12)CS{2nc*jWbYuXmH!@_vm87a z>xYYMcTsh41rNHlR37W@*i!3`IA6YXcq-Ex^Og!#*nGG@PE#{^jPxWfnW^l*=#0Fi z;`6kS85%B-3J%%3@IC^VNWYT3g-Bk0^ug1*=^n9n{=L1RUOB`CQL#>$m4&;4{FU8ngi$at%Vm_G*6NX8jt5&Y1DUuZ6OSz#)hXQ?? z+9n(cmtCi>T%veG6M|#vDLunrTl4lJ3~wdR64v0TQ%Lo!$%XuA7ysD+3^N3J)WGyo`S#cIBGkNNHEa}6kt z8;ccO)5`u*r-p$7dG0ujVEwCeH>k+9Q!Wov{VKrYqh^O`)Ef0%=O&;Hff@OjD7x)|(D-SzeDLr1wBXPOqg(d%xQzhRd5u%h&L6kakx1`TnyL z@w`+jD~ZBeb*58Vl(&%X*<`&JG_LGg?(T3n5*&r_4ADD>tz>W zV*l#)#djCPWbSvxbdOi1)$?Ea3-P{j3cqpt>_CWOt8k1b2edb~jHl%04-uukk*C^W z@#0J8_M)BI7QUVslRQpvfJ};%o#Ks+a4lj(-wBbpt32YUXc=-9dskta7^WRTs8Yt{ z3KRU#*fKg6u*UG(uCv>8JoFEbjnN4=%uqqh9|hY8^$)U>k{$Ul_M>7Ihhrc3vVLF+oWdZQpb0K2hQ8 z%XYFHSLe=ZuUwc4QvsFAVO@pGw?H=5U??$hBqiY3Z}rIe2~3q5{e78&@pa1wvT&-f zF1ylf_^vPx04-S8(O}2%tQyYZuc>7gkPKUSFr7BT+H>j2)7B5b6>(hx;gu?D-i-_hj#tlR0sJOgQ_Qklv(GZ}T_IR+up7zU9@kLQ4 zV4IGfIbfjq3SCR&u;O~b2Y@ve9g?555LMLZ_8Tt+Qbh-!#|g%-%9X@4EoBhGn<6p*)U$=YC1W>;=3I5wQ!|kMYMUStRvs z_j}*~wMv<#Oe8b$adCj%TL^1GM63D+;;oikZrNded>7cu6-EmqpzS6?Xp$}x zqVuCZ{7RM-)d_sc%_ea7Yj)|=B z(xgem&yl@z$g6&yR5a=m*HWBHw`ZchAPwM5Cr8fd6oR)E8+HxJ-w5k8IDy1i`^hHEMb%?Bz)t|{wadRA z#B6b|fn2d1wIn}ADZ-PjM0;1mUuet@PeNaNKC5M*%AKVkzA>b>;D3 z_>)(){$>CbZ)ERo-Vd|N4B=fpc=xeHqx1y}o#Zj`fV%8fdzj65(W_g($pE--(?zV< z@Z=Bs?~TYyi7MCP!?%2eQ!kpb+r0*xrkJu@UGYP_g|=9Yx3Y4P23z+4loh%%Kh8P_ z>@SU!ZcfD%i&0Z6bfuman_eZ^aJI>%v%SxuM0D^jrwS&Wj>N^kd^DGc$}RfRwGFPz z$@v@`C$-j+@D{vhc-x1SpTQFl5rxvQ+8S5q1K^=W!fn`oxEFjou4CN0saTd#AL^g{ zt|fe5+`$VKZq8VsVWMXlEg<4&>yLh1B5h1tgUzL(aJ?5KxVaM%>%yGpXk@Bc8V=)A zUg9^6&Gs8S&?bl`W1|WCbsqeg-+d-~JPL|5c1vYDi zrE%4iJ$!bhd4tcHqF*J$8@b^37oC6b^F1b~HCVEzeyjb0k}muZV-0b%gd=bTz~&$g zE)$*US`comk}+#oZiatV?2qGR1P#KE>vs(A=|}F|7C4??Gy9&V)sGf2Pts)NIZT|t z^q$5;)K>_Ib}qxYDBz5*aAuUn8W00~i$lI3qG!fu*F5g2=2O#arVC>B!rD?id%4SJsi;*X3#ubTpf3eBUiOjILdB z=SxHo`WcrQzrdxj6(0M{Qw4A4*}Nc0!ufu;9D}^3f|sO=cHIgK0WVP4s+5(5R&MK5 zwwxMZXRGnSJ1{b60J@3G9Y7srP}>kggP{U38p(NQM0Ttcj?05|bnmb>;PePI>K@mx zgHVP_=S3EO!6{*(AXY0#y_!-U_~Hhc4h^exxm3?Dpe z=Zl>YJT^#IKV=INbUk)fbIOqK6rk8tZS{%-@pkkUHYZxD%+9xJ<`+#vIXChThI-`s zKKR$Q`^L2N+*NtH7g%tOYRGPGYUUFTAwJFE%;h}l=6wWUZ{GRJd)I)nzI(lA`BuD+pu=@3S z2ITHW`S@yb`Rf4vhN^qw0lH?2X0}wga6^|`u?xXZPhma9(ki(z5e|q1FVTXBJIIYyBaaU1u#4T3vjxRgQnrR^ehtuP940{m*)bimzjqyMYWeq1z|RQV_Fmo@RNywGtF&bM#dP5@EgY?nI6q^)}s^!GMHgXXIF^ zHWmGat{+VcR4dd2#(P>f5}MC+c+q~hVBO#k2+Lok%p_SLm5|1KT`?KQAraQ6C(>WN zx%Md8Ry{PBewaQ6kB0z^o(!J^;u9*uO%~|3?AF1FSkx-M+z8*}3$|pZ3iNiq_{^Yb zUa)+gnx247C%1k)`}z$jXyt0@;=zv&Z24$~z?!uS?j$-%yvAJgM3X+d)$5pi{rIVE zxB8XF?YUBe)@_VYkJD}J4B`_QtNil;Tw{Zr{U;6h=WKqB=ugJKa{qk%C%01c{J~_c ze*Jp&UhF>z>HD)XFW$ZXFxVTuOT0~HQ_E!klNi1FFMGWW)9$Pu{Q4^YSK9mklgCEH z#r%id9z-zcqA2|vRfZ7Sf7O2ZQ}3!xEAD?1tpAhs{>(x55B>YU@~nTgWcyzP>tD$3 z|Ca#&*7FZO``-Qc*9i!=+@>sgo;qMM13{S~fb$lkoaeGwRY^;N=f99U54rPa{E$w9g^p2=4?ymww+nxpsRsRsg!g?Qp?)5Z(vAvM|-2aXo zF=H@HTAB1;_u~IPDjuuL3|+ip|FisGqwv3u+y5l%|Du#3qlk#xK=G;VC90}gb@Fmq zfqK3Mmcxann{n0PHNKv&iGES<8TglT5uEQ0|@;IN$me5 zfhpJ;ECLm9g!9yps_LihuDjWH6|}ln({h@3)0(|l=$F}9WnNt-jF3;c5WlAd(e_Xv z|1tp(qQi4z$?KXNTxB)6Qt~mDy#2nSCRQJkwK-V=3(t$8z_7MC)mz`&x!qVmv*{1q z2HII`U>6I^_f|tOC}@dD8-@3su%C|C@v{W2>)+a+JX*UeVr<YrNaxAemS)fc-N(T=Q;2R3Lf3b;GFZhc(sTESsr<%6>WTpkki3z zPrzLXOH5AR>hVfUuk77JlZKMZ8JY3)Lpm!}!otnIUyVIlex$tFnSXSh3kEh8P7cp9^;Bj5Dd?qqlc%Lj;F^i&_MxW@{4vbL7ORenm58k~^4lqS=9xxQ;p((VZu zGRg+vx2JW-68(M>6laUy-$30fJ{uBogY^|7fK}*5X0p_a6K&omQlkn#MCD-YKSTsMcCB{iwxf|A^t#6ds zH#sm6>+_Ye*w=cH+b;suIcbgRkX`6--JgNYKYpxq@*ySDHD4?&=al)QSf9mbC#|~q z%GjC*i7UlV?rK;Yt5@=HmA7Z0LQPh1*rX|B!w0oi9Tl(Z={97$O18reBpzeC+z?^E z)&B_(FMVFjyEsy&Guv!7_6cB#W*#!chO?Hbhug6ev}-6CB2$xGC|FH$wa6C}Z0Wkl zy{nGs0qqRu^?T1(ezOpzAABYM!uORgJltS?@Bk}>hvB^ujT$2`)_g=tS~mAp z-CLu>_)`Y%H4#4t@qm{xO@hf;7TiMH6q_AFr)698)I!PqMik7x6OT#Mb0%ct#zVw$ zALDZ3RI~kQ*0XKf?G_e#nI3BALE50Cul8{;>s_d28vmwcyCaoXw|ceRIr!%A^ayfnXQH?bJX)Z=&SNbQa;E>=ysjIB(dBs zoj1tpz}j?d#BcX%+ghxy2(%DaqZf zPZ^)Q_X;DJlf8tT743U0y`I#F{@Zg8iFYYE>=1j&`o3hB1<5sXlN z>O6a=fLSi2n@18LaU)6+bADAQ;4oH7w->O-7#Bk|%BahJrdqgPb3t|t7|**e{gOy8 zv{C6n?CL^hap+K*AV8Uy7}4KqfvpDAk#aC#(UtHTu8Uy3&s|){Ti$iQk-tGqxfZKf zX0w=2=0|(DWV``7E{>lmPXzKd=!c6bjwNkh zcV?1ho`KBQ(HgA}nW-7bS6YhULu!p&^S_<`s^<5YX9q5jh9;f}B34h}{!XcHjrMA&mcx(9X6>zZ(~$1z#0&g-M! zHfPXbdQ$6g@PM~m=mTzvFW;7{oP%!OAbj^b04>Sx+Ae2r!bS~6&)V}!9M>VupPLnG zu*r=eL?^Ok#FXr{dGXkY(b-XAwu$;f7*=$PXApA~$QT`iHpgOmoXoAhSQ~;7_e2-X zs?j^zl+2ZhZed~@4euaJc_-r3$jJS`P!hIZ$tTBYeuO4`*qy)~v0 z4kGOCGrnMLjabTqA`+CB47zwBXVt|fz7k7a5r#t|Vdsy2@h)K2oJfZI54{@ zW`a+C3f01DB1Of(m|c(5BK)&H}?yM9TR`l@$Pu?d3Q=4c6mMy{WrN9d$F+VJB9N27Wpb=A<33Eyj}|c z?{h(2EaV#e89?|wA1x_*(3lHlU-W9YlPO>Gy#cyIx~G?H&IW)fUklj*kGD?n@thf@ zGZV!FFjQDc#JDf{V=e0=I~c3VPGnYV_#r+|jaC2GP3mZYFT-2AXD_18bSu@#>boJV;HVRmQYQ==E_RmJ?Y|?)X#SyHo9?S!5mEBd_wk$B zI{Zi9qc<0g1e)a-N_3!qm(Wy#QNKdxy}PVelUykaV++yjgy!|U?+o%VugzYB40q+VM1`M5JOO$VEouXOo(g7ab9DnP?#;Pm zg_g~DFTHdMb}D$chH?99wfRyHrX2-~fP8X`06Yj~zOnwEzgUZp)()mu^KH{R_16nU?pzQP$2a^_r>8ysc)RQwY&&v7K!DoX$S_F5MKfU97Zq~7rrlW)l z^AN8R*BsEY@0QO2pWoo_8CT&!YPhV!?ZZt=&(D+jyLP^4F@IMEJpbDCMip1ZbXIo6 z`RGo}w1mBAyzC8YlilDY`p42}$iAU6@rPzKilGD3NMc3H=%hxwHTQ?)J7#Dp0Us*J zP(fuNZ!hlQi)94n6R!Oc(tY8dAx9v^cNN{1o`rt%SmYEGEM9kZ5MfVYHWXL$s5a>P z%;(1RCjzftsW-NRwiYQ|5Qge__Q@mTpvrH5f(qVahj06Av!y5f#XU+&ONdcDH2z{; z(Qa)l$4l9!LTur20KOj)_q%j~$8ukFk-w`wfxlSxbjn&E5=y(mg;FN>F0J+u?ssGW z#2x9&YuX)oesp83Ql>|2nbvzJ`j!FaZ9j3z8iq8p@r9c~X8-PDx-{HbE?EGe`@Gwh zmYEGcD3<%R0k3T}q><^EkC+YqF}7my1L_B7Or*`V3P(}Au}5#(!kcEohwldD0Ebca zUk2t-OSfht{GHb6@PJ-MU-|-r>r2gL9WMKjMZ-?cAAO9CQ?T>U%1X?_ zLbm7EmaIbpoFJwVKDwtl7M6)M#Qx}XMAQ#c-C|YvPcST;u1YMP25%tyL3^)`#Jbxw z_qR67v`$yz>6Cw-SHYQBJ2GDJlS^ZcFzYvmLg;bFN(C;=Dy+`)xU$6y)&y@l{e5XN zRB^e7Sa2bOz1{7nBUPg5=LIqrCy!9x<&=D^k@PqZ#w9)twG#W^bXY>nv72};lAA$M;s~x=yrytH99hI942y@?ZZX>CD48o^EWAKI z_^@8`BrpUUVng{E-qVfoGOj- zaJFLftwb+TNusdhlgAL4@Fgv5e~Fs;p61VXV2!7iE`nk)+M>IF?mEzH3zvV>P*jpw zAb93NMgWL9UCjw_WtyU; zc1~3T^^zNny5TyDyi0LL-xzEldTWCVHz>mg6OUR|x*sKV^p04$N^$8NJl7Y`pg(N& z*k`#{b8${%F?YKWq}h3XWxqCBSYtmC{cWQ$AtpJLFA0QyI|UG@+GHu(^)Th#Z}b;oB4NW65a?FC|zFv{t!;U_NibhFhSclUp8RMWSP^a^G(69+Xa|pr2X@& znsA9dn}7L~6Pv%d`Ei1bEGyvyR-Dzb_1z)RF`j1ocg^_Oh5IVY(+=TquWr9y>;9-U z<}2D@Uatzo^67IWRHNjgiF`Ryh>gu`3>!DYW1~R0p5?EU zXE1^|O^qHyj54{iF)@bK?s;8JPCn`NDkUW?^c*_>ru2D^)xC#JrNKf?K|dzJ$Lo># ziU*+2NElYwNQncdjniN$`fonfkySIbIqOKjD2N}-MLCkATc@a?kMo@(t95u9)SzT! zr9Z5*BpgDIFbRm**-&>Z|8lvq$g>b*RcwtKr~jah%kzlvlL5}rNqd~Lh|quKRl&zn zb1x$vYn+$5|5-A3yq%%sCTrsgY@$NwO!l1hYzF-tevg+9^~IGixbEw>SWJ0R_j^7_ zl*~}Tn3xJ|Y8nvj+dl26m(>XQzY1hLuHS9$;Paas4o`iCBv#8gy8nl@w~UITTi3NA z2@otKXz<{{gF6IwcWd0;9g+~--66QUySux)ySwx$-u14v*Os%#8RPqYq(XP-?u@GH zsyUzMy06J@zt=XAEsn`#I;H+KyBuiWFliRc5yq&bR+2z=Qm)9#F68e&EGpM2-)w|I z2Kk5eJ$944%!&eVzue>_hg`sRO}Gg0o}Eb$VypSiSV^V^YXVo((Nlo(?s%d@{knH``ZjC!&O(%U%e7XDFhbV`D_x+YlI2LeUe>^z zOzK8m!q?~f?P|poH*!8I)iDLFS(;X@wezhkP4W=ljl=quK~1WfblN)CXCC7~)l{7* z=*es=7$s`W-ty-iyF+kHkz)m?@}SC^qn@89nnox{_5Ml0?y6oyYG zcF4h788f))C&oJH2~3JXOi{>w2F4VTnX{M^-w4dGjnqlt*{6gO>rKmzAURx1xO-B~ z*6pv(E5vZAQjLh^s7|JkVSSZV%mql}%8ORbv*Az^@?%b>M}UMV6C=lkHTk;bnij(@uT$d_3+&dG+8>l zruLnxiu3BD?7PPrzNo36&KK>?Q8+8^D?@i_6uYL3YRd8eRXBcs@R2vR(hyWCpgI_7 zjzFi7*r=jY?ex1Yrz0LtiNC&Y@P}a?dij*(OATZp%s}jGoMHpmCcemBJp3&GJE6SvhF2H6M)8UYM4K50H7g zlhQodl1a>LmdZ8es?bPyLqHhkdl33gn86(_Bi0LSh_K@~QTQdh&|jb(M5|2MhzB^{ zpWaCfX~j5_!04g|L33c3NEwtU`~xTw8Me))C1v3*TqAYEB_O59E*6MN^tm`}m4#b( z@JYBeB5$Icw|)$tKD^~@wd*0MiIdW5Zy!%>A#$zQ@k2D^r_mD5F6B$Xx}EJi2nS~U;zqV!l*<OXfs}CzFP-34Vgh*srQUX(!hkY<#owN4?T1w}7FF`g zX6sjvlOx3*`0^|aSH36)H;rS^UIf&b{z#0u%!0j^TWK`Bcqr)gx{3^S47s@>J+X^d zE1#Xma6-HCFfovilli22TeR@B0 zj8IMPMBmNP6|U5T$7Qz#Xj<#g(dNQxlI=UtW65>gR5JvU)fr!%tahG~XVEQ^kTFn3 z?===++GbW_1rK**>V*W+C0~9bwl*zP!fM5xtpCNSI!&@^(>v*Dmo#FS#sYbXKuIQi zIVAjF!AIghgS9sasVX`I`yO*~u`E;@Q}n!&ZiHCOmi=8N58|sO%aQSx`nTCiix;cE zFtdj;^h)lc7l4ehe>_MY62=X(l^vF$nd&4ML8|K`!`|vj&~BY{f2NfaN4NbpC{JbQ zY2E|RVqV3*3HFww>8$)gEeES_JWQ)n&CVs}b8UE!vufRE9+7@P?U6rMR-pQbN`5lX zsgW9_R_!7gxfxaG!2P(CF*s(+^A+Kio~`t)wj}UH`C!S~*4>#y1mnJ1Dp~D2J$&#t zItqI7r>ahT#b>*&FXwq{nfb+4WWJ`Z^wjV8EWyiWdoqQB9ioNT=fh$sRO=aG>CQP@ zzlVnKC;rAK-iW&8D)p*J<>O+?fRzk|h%hR{E_3lT=?iPTD! z)@f@34wI*s$J1auu0-Ij0a<3f&WFWl+_vfk9`?icG_LS)cjv^Q(a^rX*jC8X))+Nt z`vHl7N&h=O{xclvSMBPG*I^GL^xI6~Fj5i{AHZ$|hQYf)nIz}y~&V2#tTM4K|`&bA=G7D6PB`gIQyxPinh4NH$P1)}j4hnLfiF&eWwQogBI z;ETx^0cbUaTdJ=0HNPw#me%8?W#KISy|eSG71K_eFx~g?b$S(7TA^vvhHYdB$!v33+*odi1|9>*j-AevedT{pw1%*SvK!_{ z8=NSP1iYCMS)IP^dR#hSPB4hHSR+2h<`e>h7%hBFjW_wqt4A&sm^w&w#tw#sXp7Eh zf}pmD;Kv!a5j%SY#@f;qW*1GizYyPpkP78;M{CDFx+!8BY&tGki$46jnAhX)qh`Z4 zgQc79Y?kN^-MObt4Ll7n_l-**_2eIY>_nD@_E1p9R+xECMS|*dIP?($7Z4>T(56Fn zaRFDGh$OEY5rp8eFK|8&Qa*l>EgT1pdckL_CAI%?D=cOCgo-L4Cx`5Cpr2NWi-VIV zll}&SCSFULJVuNW3vsd5ij0mfqN_^)kbm(8Ad^@FInYfohxp2V>TDX|L;#u>^hP5% zsBlogV2;^Ei?s5o?Y6>TkRG^cq0@q%v`{az{};CPXuBWY4MWh7h>U*B`IiM(J(;5q z?mUwv6p&uSo38ZB%^}G-yHh%8uK86@Y4lw0d_X@LE2-OmwcXX-MW;QrOWZ|L;V^tt zblfx$-PR+-YrV6{<*8m4n2p_Pv=WGE4ys3kA%lSqen`HXdpAR~`mQalu=Y~)HcYk2 zk*1YKMNrHZ4&T94@_EMrlSe;rI!zJw>`vpOY;K9X)BMLLLvvy-_6V`eg{V()L&eqe zt<*p%sV~}Aw*=Em{njxxd!wx8wPOiR=($jSuAwYv>8P(g#DPvp-7AcBo0QAYwRJyT zZLmF|z>wC|IjDf8N;*fe89%?mpHBK+Cs0#746>OWY-EMYMr28=9_^T>n*SD7-zuqh zInZiNwe}rc8hk(VtnV(Q)w^<>2g;>boH_b(uuepAukh{uBsmr7F(;CxsNH7d4GyUk zfdd${g+`HaG8F?fD}Ar*iLnqXHb};}+sky8MpLV%3?W7Y#d zzYVW+Hki{*rN-tLLRqt>()JT*b&}CA|BT@&VYv^b-xl9p2r{F7K8(>@^Nk9AIpjPp zK<@>6G8T@m=sHgZ=AqIfPtw<258;9ON5Wp5Ix6HOoI73VGA>j&v$=mE>0FZd^Krwb%i55c)OOFX%e{RViYg)c`T5gif zb|PJtQy`=cvIiO`$-*{AEfbV7lq69YVGMhIj)=*ARho*AgA-$k7_eXjLvb> zYWtI=gtoTtzr4Ly>ky)Xyl#42(sKVv!LHtUzi+jVdX}F(zpC$zxmsbwBMa-GD&TpO zz}HjD;whX{=I%v!HRPb=kfL+mycFEZcpP$g#{OUM+M4+4sp6%>>dQHf1v=Y{I7Z89 zh^u{_u46asl!qAxV4>qF>K&UuTqUYleMbcd`_bU*Syj;pSi2b`7E4)r;pTs z@l`gOwgp$@nq9HHx{`!-jkJ{()R|9Yq?K=;NzBG$OH2kQjL03;xOwg=87}5*yG|NM zR!T%b{8&4EHF`ehif*WU{7KaW%gM++=ccP#hvW*AoiGf>`o7U2i#u@mys?2xL%Qu& zz5eETaF>UQcsJdnzTBxwuWO6e_{#Hn=%&7>qkm9hr-}w__sKG~q^fY4iE_ABM-o6Z z1otmULXPc@IK^|p(bL>KR_c7$>}))bGqcUICEE*n_x&{W75TFei>ZKk&iNI4jZX23 zxX3NYNWIyz(ptVq*-Rh>UWhkuYJU)tdn`c0WB{zjoTGB(VrMCmOthz48&Y2Coq_#_b1Q9EP7_;#fjS`lHWB`UQa@fr-7-&b^{%B2Eonf9BL%wxEpJ+bfy7ST z!}4F8Mg7e;=omhsD0<6ab0t`q=|SNSTvl^VrK^)AHf7nDT_6QBRrmk_vA*mtFYz^r zKtHvz=H7KuAI=rkP~-VX&~TtxIUvl>siTq)76JNgyV09@W~a9i1hH1(Hwiq^^bQp9 z?n0ox(rXt}=SrQ(nh!NVuM}hTHl*{^8-RTQ3YD`dO0y(C$xx;%^S$?h(I{J~Mk!p1 zpHpYyFAV7BR5PPDDlAsiNU7M|$0~gR+))p5#k>y0$ia(4s{8_Z_kssOh7?*>e7`h< z8c-i9IG9Pe#)P;C9G@*Syuk1fAyx)}vXZ}R4yxsXCLRrYC@=agqF4FH*AV_2O%PHDNE zX)H>B_0R=51GiXl>f}-ehUPef&Qp4Aj*GS?0f!>oy3Venas^~&{O4jkb zsqG370QP^F^z3UM)Dsa0((9sfO0-`48VkE@|np zP~2cl248Fz%lLO`dOgAG*k*idEAzPhrmB5-dQ!7oF!^CTb?DZ zHjADmroH}@7O-|boQLi8auEWuUTcE{jKRLGtvnQpH=Dt}Ncd8Kxppv)mSx`a_GDQi zf!@dK<(`aECL|~*Q#6Vc0iQb=)Li7${A_ug{x4Xy1KW*R<8GX2^3w-k@?UYcmn0rX zv%bA;FwuFix91OJzthvxm8g^c&5V5Uix=#uW%Wm+-ga(&-sVK(Cd1g zCR&{C>->@iqGsW2S3BhQTO4@pQ`~m{+t`BF8PC=W23xK6Zr_&b^;3-_M4+PV=J!HP3 znlIIT0%StFX<+Qrt4!N}62>2Y&k{xTf97&!1SWpWZlj%@oku2A*2|BoE<{|B!4m75Y6{Z9_>e-kn{eL**`_+O!D zw$lGqe|)Rti|BPZ%<_*R#_R;(Hh%N=El`(ZIXO8YU8Mduq4D3|Ni4EEbtx>vGoC)=CT0h06Emz4-O+_w<17x~{QtvcftSB3ZD0Evd|Cz}e@FHQLDpQ(vp^R^p<; z&iH4pOj-ubiQu>$rNe89x9fq3bkSI>QQlS#DS4&v2LZqE(LDBV36P}eTqb7`VsZms z50cx6Eg5~{8%I<2nZmAJYSS+fB11LHHYd=l#XQlQMv~7(Y!;?*Fl&|yj6sgcI~&E1 zeFpUIVvP(1njV~RY&)u&sj`58`1&saF|S1~Dd5JV%y}AkR<8&5P~ItRO^z?07pw`I z+EM`O0o~3ghb-b8eT&Vb4T;fnkGz$>SNX*-WxIKNYv|%jZ4oF;-U(aQ-r8z$dW=huD9$KRPRS017I@Ta}`^MipF zg|e}6bwz8SypHt!y7_x2y+~`h#j$c-S?*FEU(qyUa0Tw)BxP@IE! zrc&QaXJlvo+T)Y;8NCx;w_KZ&VDG~AU6YN$VDGP>+Pjm{C^pZTDXD7{`A+N~{E+EI zKyheqll4de&Rx8oA;UouZlUn9hz8=KpjyV^B&f*P2I0Is3wK3uAr$d13G~4nb`pC? z1S@MgJUoHJqG{C&h6J2B~<)^sXf_EEKRn8Vh?)>-au;t2=Dc!)JgM%*7mJB=(F`7HH?o{BqNqS&KGNR zFiOYkr%aC*6=I|>aksb-)y0VfC@^y1XIJB+DUC+w6p|>d?8^&~bO*)(NZij?@hsjU1BBFrQ~#xpIZ+)FQ|j|mhxcE%V7b2MLz!(P;T3aS(KRQJjIf>#8PMCc`AoU zk?K7vUyVvlm1>P>zB5>qV`mw8t^|uC5oLa6wS5B{AZpe4l@!M`Hhm(ooO8h@v9Xe6 zU8NBRwAt`eVW3%Xk!pwh$p&|T`tjFe>j}w&KfaIJqnu;AwtfCS=Yna|oqPjE)L+kAk{@7zS?-lJo z;K%Br8Y`LfcVncSpvc4eD%pd=1Ecg;>bXF6yT0)nr49IelyE)SwuzyeV z^bil%)*w~xNUYtW?eyM_XfDv}&D3(be~uw@=nK#ipdz}tyKJe2=Rb_@pe2mOAMw?0 z``(%edS$jB<4bQq+nE)X2yUgQP8m@uj-CqTEQE8+?Sva9)-IT89!waGs94;|}-a9gF-3cXnZfl?c z?|ClZvV6N=+iX0&%U?q^C*TjJE?_!OAFYDiqp!l5zjI2Rfq$vJO)+YDw0W~#7-MiB ztR*TXl5wldrCQ~}&6VUX)j_GD&W38OJ(V1RzM9mcOVKUvb}<>O<$`=2J?iUd&_4s^ zzM>29X+2`5B=GFR0MJCv%_Ret<=A))O8{T~ddtGURL0gbt9W>L3Iz%QVcZY?Q1IyA zoKBX2O9G(#k}Xo9>j}j*lOv506KwT-eh&wi0gRYSpX;pv#Wz`l8$s3+I}F5eH9TO6 zjmEbpIc`e}kGS+{{hutvE^dBzE-_{bS-e5FpI_#UrEuBc+hXjL=Uq;a*souHqXki| zewO)vXRVD=r}h>1uYsi)IJ%w;TAQbBx3aosQ$!FDNcMuVAq2piegZU^b8*LY;7Q9M z-ke#MW#^_tDuO7bw;%1M@C6|`nuMJC;XvZS`@uAHP+%$f@!ZcmMAs`s6vdc99@CLs zDewbP4^K^CPJsV?4znZtc2y!RK60K7#t(8+;hyim_ZlS&h8#^bvt z-ot#(v+w5t3G*OvG+2wYBVXY%N1gcMOL0kMYI(;Lm~vXsEQ-wK5>94sv@(s=J#vE6S!X%3)Q7`X-o0?aq)WARGcfVhr*sS-lWQq%BGTAg5}oM8M! z(;J8uypcUbXy%7i7PHExt4ji&fd)2)%%Jkz29PS!=IQaCqAO#b|AEh!$$2TC%9H_O zi|79DC)|O0*K0_XE05RyJlBJ+-`1mUD{3fZ=ORvcj&_{KJk%6uBFL^~9rk=^u9*9I zM&5h_WX@Z83+`eIsnmwEP!ohFb5j<47lA%m`1GkT)jyTXXysuI25X3opi7xU)byMm z{I?7k+W!b+Tf+u;qYNOiM^@axjO|}!aj$S2oSP^`)i>v^-;NqU{2I|RI`2<29Ny+@t87<;mf5q>x~^mT7f{K|vIRn{s;9*9|K7@4u+ zkBV4|VCi48;B60>Ke{1sO|wlO^jw2Ck3MZ03xn+-pKKht(ymN96T4%r;yF(X6FSFC zhTTrN#9U>n9SwGZ6GvBgf{#(0_t`m~z+2Cu)GF0u?p0eH?b^yhQ7!(yt=sO9d*JeRh0+FEYg zZl_dRPTMcqpUf4@r9ggTLKQc9cL|zgXWO|1C_UC-x^KJdL4LP5nWMtq62ACG`uY%m z`Vi<>a*}FK=`CL97iug=iUPD+k2m7O=lX11O9`cKk{Lw3njWcaIhaDLhplGvIN>wN zk4K`KX}9JbpsV9348hO(B&6?w;c~nf+hE>kGOEX`vg*Qh-M2N zrmoy3At6)!XiBaz8UL{}Ht4=JTj%KkvAGgg%Pd_ui0K?BP64meG{ova%C7y(a((i-3-|Kz6ySVru?G8CJe1xdzusTukgo+|dxb zp9+K9bvM1q4nvRbzOU4H9qA}%$+Wp@Qm{R>F!);va>Z59sVd{%H3ti57JSii8EloA zNKBS(y*}4nR8_af`ZW3=pKEd)w_~-CL&tJ&6Vkb|!fhsUc1R(gg8)oafBX8jIIhrWHvEzKYCM^PsM%n@{&?ED zdw0GG6nezsXhP)j-81Q%X-srjfb|9JWpmndX%2p#d(0-&4n$tOup%iwFRv&77THBAQE3`EtA$@VuG>nw#OclH^X6oLE+R ze`0ZvBlz)H6uJYyI8~7_J<+XHKFFQ+oH8P)OJ`T>$)Zz7V<9c+Vs$IDl?ny5R_F~SD{ae(*r$T1zXW*wmbz#urAHF?~F-=tE z^hPqIhs`@YL&~cw_d9SWRL7932ab(dSL!XMaHL1mJe#s`2BA?7wDEGOR_rNvbV}ZK zqqP?2y2j)jEx5D+Eo8;pO}V}??5`*KSZ&ViSi(fVyGfI_fprCz@T2K5J00(3jqZ6E zpRPYwhCwA&tAZNvQ?#F&(de5$(kPAH-8Pfa@_?W3Zqc&j$obVD^s_~?k%c_A#G?Xp zc+c0(df0wsYrsD(W~dWW>o(Dh3CDvl_R=&l>Qw7!#ti>7+M&or@)GjOmAyYm<&S8n zi}Ey9o-y2q0rMTGp>7KUdSdg47@DvO2VsDp0)Q%~UY6SlJkAPhjUc#?uHnI_rArBW zV8?m~gIC2u0>!Qi#tiJ8ER*4f#Are7LH-;_&GH_{1rSEl|6%X@fKiZ*}DPL+#gBu)=~PrVDNF-;nrR)Nz`TxS&O zZ`{b-d_7s-$EbBjxLYriK3Vm#v==rva{&z3CSce!U#QxzzT{y2EG+>GTk6$D4QgTq zGP+sPY2001U1x)|tz)fTUI(+KqdUW~e%sqn0X@!iMj|fjYq6$J9Jw6ne_M_Xx;4fO zRbH%9W^BXE@hY9FSn4}(B>q8u-yTKht6)K7i}l~}Mgh%gIDpXhTxp002<-%mR_9|4 zW;~GK@B{bLw?m9nZe||ims!BOY(p(~w~gHbWh=Z1Za(o5q)C0It}MF~QA+)dahYYf zGybQq={ptMIYYGNhz5R@|5~YMM~N@3ANdP=r4tbc? zQ7%$WX0dtU3_R_5n9!tyMWN1Am|NN>#?$ir*)=7#G%l=rauFrOn;LPEDZ?ap2jc7W zO#OOfxakpQxrYwp@1CByr0{r4?kXzM`8kl5MXNwQpCi?wOwg!V+)n8aYtob9)X}u? z*!JjWWlXtJgzgmZqR(}5GLDEpOIlJ~eE9F?PGC-PHpZQmon86V3&fU}8(d(DeRQ0_ zKEJDsEDYJ3Zd8*@ta!JwNc1;#P286VVduhu)Pb zwm4ILdwD_Dsu&d_%PD)beXn^K+sT{qcusL7iW77L`r|(SYl=3CrTGP*<*oX|bzSj1 z983%=+1FF49aJ)R3;dz*S9YV6Am zG0s1Wy^H7Hh@ZLkR%<=YoE`g;=b0-OrL|B{E~o!_J5n-&pvf8O^}^b9lqwI)deXbg z0R2n`dGyz9A;mjo`>-ZU-~8D2Gy+6;*kTC-R<|re%9OVPW<8Zo*j6kGOn(zg$btobZBS% ztr--iVX5W-AdJA2X>hJwFTme_Z7N^he6H+g01Da0#s*)e&<^EywG`q@5TBIZCUy28 zTHa$Q!SNciy_5IwDj4Z+lAJ&;;GMURtvGQc&LWIPS}U!p_~r~^{5LNIC^+_V+kOsqrw%N7w>+w9LWd3ZE& z7-2Xp&kz5 z4x1+7Bz`v~&`feM2P|9z{z5%yX=Z4Yzaig>hr%!rvqvD0I1X{xrV!pxH0+kW53E*U zuMxF1#wJF-Djj2{h>67G;wX0rwErLJRC#7)d%0FG4-=Et7y(R z@P0VOwr%}3TxXAEAp>y{Y4AFqsM7uvX&46iefgHs9IKYlVG*lpmWGIW!?!@s>Zm1w zeg#1~xc(d%sPR_>7%OUth{!ClN=ofT+h;L3Cux5?Zs zjZhJY{@ zky@>44LGsEqGzTe%q!h-d0KUqG4q=b8!5^VihkT*V!~_eaGR`cd=wtiR&4gcidN9> z&-J1U>6&1fqVW4OZJ@;2^*dR46%ihmjH>HO_DjHdz@66nzJnN#)YbYz2n}`*C>UY4 zhtR$LM11CW#C??Ds`DPO+daIKtU-cPbM^U7v&RCfUgDDvNHw9Df-;Qx($e)Rf|8U) zeS>zHkcjzHqnHbd{+!WGIC1k>XJWG9)1p+28`1zl>*5r(@{lgjC69(-gP>1a7>qR~8r&yWM`PnYgZwKmwz_rX7+ zloM`mbr(Jyw_P*Liik?^md)izVw#JRF@-t@WBc2@=4#cI`Fbs-RG)+@esPE z7kxCkrQ@VVK$Ov!*d&;@UY+LeQT90s#p52o!G|wK)@2mmryxt2u?OP8p zvgIC+j%u}*A$&Sb9}6_<=?j%hcYstgDwWEZ{$mgZtz5nB&4zHUblMI8tgE&kGB7hU z=P6KBKDh{j_Xwa3DUP+H>oP%iE ziw!Bsto94U#Wsb|Qzl1dN93+2KeqmF(0Qseg%V|0QZA*RW5P&O-3dmQUy9oL)=@mI zFVe1Xe!A@ED)uQ*PS76bBgcNueM_9}qs|O-z$_n7&+tVuEz`h&LLO~j_1|z+y9nraIrnK16^vc%gS#6KVGP$DaywER9>&Abm=5iZhk74rDg)kM264 zr^}3u$oHZCId0F%Zko3bKHmV-OCW~rTJNa(#zuTCWIZ=9scUGPzH0dXaMZB&^WNcS zRTU12%nyx3h)6jSVxfw1xHS!t2$lQ# zoh|+AI4@OFB7}GU7`@Eiq@*0)T0e}bMpZ!H`uM|SF+YW|Net!PzI>5bQ_?Ktv{8Fi$qQJKVSh_m+GaaE>V~%8!T!sKF(7^2j zz8o%RYmh+F+2G-7KbhSjkk=d9z=FeeOGGM-dl=9s*ITc@LBiu)>+pep1=+K*vf{W~ zdQGb^_bfqzvY9QS6&Z$a5kz74PU1_a604jE1LS?bo@8<9bx}m?bYIHOqQ^w!_=w1#%J(HxJMd>o?r-=fPI!3ZlEpN3cEwT~JCCOR zAk(X(*}R5FJfh*)xU&OoyLh^`^xgVS0Xs8EOyF+Q-B`6-4^(b}>fZX)SBpH*KuYI} zlgMb_2klWPzo^L6pJ6^e#VZO!nZ|r?ER&j^!XDEBgK@F!jh!TJGH#wsBl62=@zi|= z^ILA6wV`%Zra2;s4OJb@@|7#k%k(qs`fQf?U<=DBP|9{~Jd*wDNT|Dirx=8$Grfj%$@vQA zzqJVG2~^9G&qu8Wz@KDrp}f!ewJ<71Ta_Z^$!0lQu%HzSyV*%FcOG`-bGFjd=^3EmQ+W~Oe4Kus66 z@e^G5^rqUa-sIuew4Lhrjh?d`8tP^bT8mDpLR=(w2a-{`@KdESr@}3RwCl-Qzr-{saUco}U{H({x0b@RA+U zS%z00OEuXJN4w?Y5^Btm#dB!MXh=gLGr7qKXd;TuYK$y)6?5J(GsFEV#dM?kUvP64 zn!W4YgJbuJXFc@Nl)+MXrHIJn4&f9v`BoRr9;Ac|%MV=T8D&1|`3(kyXr9l3eIdfu zd5Y+x=@xYi7F-Wg_WF*d=7X-`$XJ3xhNXgYzlx*P>7#@9-lgKziL~FE$z>h8y}Qv0 zzpi&OwEVMB)2}dpM!n8+(v?$&LPF*#^pu^%$)p6uvO4u6L-|^$4RKv9uq3Jv8Dx#cR&HM>+QAtJtMc zPUf2B z8ZJZ))k;@abrfdv6ZVIqMZX0p{zn2_nF2*~wK~WjfYp1c&N>B>0lLy~N6cQ03y=eZ zN);MiW`rme3xnCSG3)MeGMzvR zWBo{*p7TygKloflW{k58Sa6pxMNwkob?(NFnRN>xK-q73F zV<^A?W=uyaNghKKCz?3e*if}^tWfY#tY(r5YM4@uPJMpck@d~_dOcP6pyMW1o`ty- zsW<%0x+BK&9Q(0zoLFH#U~6xsCK%~B7VsA?v#jp2(9`ts((O{imV z@)JpjIukHhS@RKt&{ufPng-jqKF+7)_;R7h4Ys9frA_fJ z4ZF9yFWOe;O~yc@=*{#?BHvgUzW>vvu@YV_ z-talj1ayoWuUrS7ja9#vz_SUv{baf!W>d?tFTaD;6}buLyw}h0elx0(>|xPkrc$2K zCx5T^gSRO}j1<0vQjYc}G6|`YA$Gg8OAXTCY%jX)%AKlWO>WB3;9+654g8LEOb@#! zjaH6NREr+IW;(KY=39*U8j%slufqH%`ZPr6%Js*8@y&+-{Pn)U-aAHK`Rr`OyT~HP zGLiRF7$HKzDi39`Z8L>E-U?zV9O(0vYe@>M_Ht7-XI%;x@lts>iU;X+wwm{W2=V9I zgi2q3naN%P)e6sy`=!ezoO;au3wajUf5?n!rp3o9l|&(EmfXa^JR|hk4rmKX1F1x< zTwju_F;1;%NfSC8#n=_dh0+$XZIcHZo~9%{xjoK^7sV?8;#RuK$?X^DB%O}R1s0}t$5~-=_-nk6@L~K+$(kc zu&$YPylPs32h=NJ%oD45)w~<-6(#>v!>o!;&#)q#xgke_Yc^dB5DJQPQ zdG~`!opU{X!TQ=z85|vQ%cn_*paQ9NPkl z{UNs()m_SDqjZbRf+yDQ%fx+u$)6`jh?SRzZH&t*hcbh^IDV6<21sD>J@H(cO5+1S zq3!wL1uC<_vs|&XFI=45<1Uyf?C6kOrLPzyOXhj8k8wVY1RoP|KKB3>c8Gp02D5~9si#`1XZnA z30ikIT`{%!f&-S+;KetE=47AzKIL7MskMuvCt16`lpmPhOCs88O|CGaMSoy>%-QQGtdR!2jp#9Lw=6|(ma&olh! zTZgwviGalV?;Y3lWz>a<{6BU9u;Y6Exu3S6LYTd@>LqK0I)N#l$yDAa#R7$NFYwDd zXy~0f4^vZ$*D|AQrjSChS`4V!)#mzOTEojrD(n28hkH-Q3H|^CQr&3V2=Za7NuqwnAUja3ndv#|J8oMw8xTLBE~! zpN9n=+`iicYIF>_yK_F6DNe#Pw6c;0^44q)2dDrlHNE%(!2ffLi<5OWddOW4mmG8qzEM7aik2l8*@8Mx#A={RhHEEZor(@REw7rktzIg+PXbgeK1C>@w^4OTn zKpgETuzozbYQ+|1)=K!l?eIV2Tc?y5KrREatgLJdzP750n2l{-`?0Q$^<=rR7uaF< zTT#+?Kw6xRfnn1diTevDC#SMWU%CRDft?^vEQI$BSDsk#QZM#kAMje%4Dg6YRVE^Mr-u#HGPON6*2)Lr3>bN=j|Pe|BD{G?Pk?d;}uxz_$RDo65P2OQ_KKxb)hqWo}NC- zDE}ohuY=ydw(P^7X~?-!U2X(4BLYZnGBYy)iUmhVNXVeUK>?7B5D^gpIC8d5X|aAS z)8EvmE9i;u$)qkRo7Oi#N|&QiyggH$s{m&b|L@)VgW@(2Pw-wOjYure+du53F#Sui zYq60@-d*#NlaoKh!GQy5m8X{m|p8s>v2_8fkpSLfd) znVBn@cwTFOT8{#kv)xcuGfkqz6r|AlEKe7|%_XrRrAY<)l@kyAVaG`^3BNeLI2{r& z-*yUmq9V9RBA?kQihbwEbu_CsPM30H^NBs7+}vK)$O-)&V!VwL@`H>fO(*}n=Rhy% zltDl&B(&563|h^CMQY}OUxi2e64t8{#Rk%W19o)2P9IFG`mhozemqdlzT6xuC?IiP zV{0rdd(HZWBeWe+xiTu}w#yffUCX4|>b-fbqEaBGT&m$FMOdcj6Gu)bJy2r&kn?gq z#U))-sLx)8nIoblmiRdNC#sRSK_x&Rl2oCLrkT6v&LgDJ#Q>>8zaZ?G4-(`Q=dQ)b zZf+?L4%H^l7ZqPY2*Vqv5_H$B?Dz0hBc_STxp&FV5mNA;}ujR)ThHDz{iM zf&x6X+9dwFOcc!J45xjVpBgL{k3lP}g6YO1tJd@q?oO^+7rYJEvrUBdQ;Je>4JW;M^?XJ{v*C+;t)a}I)> zJ!U+t12Z)I5_Y@V$v;gJve2eSjAoJjfk}S znmyjm3#5TiRuh?v%P$T_w6BCk&=hf7y#?y{>2hbkYvP4=hF-2~koisluhh!J8(BSxs|lb3O|VD`Z7 z26lU%W}yl&KsM^F`|fC^sbn<0WM;E6YNMkdxPc61T~c~ zBf32irHmB%wfS1x%#Hlp@l~%*%{V+hA!py7GrhO7aEEma=4fh8)ul}1t0sxAv)vkQ zdP&019T3UMQLJ_bNV2PI>8% z;*G`9zXeh>9j^+>&^61XfI`>in#~Y`iF7Jj^MbTsInfFN<6lv#Nfw%O5p2{<*;Kg1Z1@W$V`GdvLrY?4@^?h>TU+wLJeq?r`y7gpKdU2S!K zsEz{zx8DiL(6`GJL+IBRiq#Q<2M^}gT0aRt5u$f?{3W!IReLXqOPQtJw`^nU&demU zuy@TY-bRz8vr?!kAiiSHsq>bPBTIcrJR2B`bf`_QSXX>PrD0bzRkP|ET1ak-)kOJbpD9KSUm=@9ltNc;RFt8xgj^Z2hZ!|KDEw{AdenJMtHOSphWim_ zuc(L%NG)Fp3nv3UMr!2-0g?*e2FN!67&ElN zaemj&AA?Z#K0EloGiO0lh{9pzNpu&LxtK!(NeTmSEioyFH|M=+7Gp ztj8y&mb`l z4@PmWA9$#MU?%m(m^>ddEhB+@t!#|nPFoWTFTB;MqC(08P?iU4Sx2I*vXH2K#p_Kh zrzpM0?bv1)6IXe{<{zDE$nPU5$n18f;}z;a*yMB}`!s1GUuZaS;1Xv33$WMuXu zG_zIlpj`YW9uI^QPYPC#JDRk(RP4-;kcvleROM=f&(JQ-{sn&a74*U342lYrW%MqL z(9rd!RWhm%<6s&pMFvpMf4s~qk%PP2LtpBI-%wXZyEk|0>*^T3o!9i2(hWazl694F z$lTgeF7d%yC`roEi?DM*@`e5aw$|z&OXOS_>=YayT3ej#nKJozV~8n8INUH>pXIMpxttQ z>@_7ci<76C+HC&1Nkre1ll+HzOycu9iEPS~BFA2HEI@%1n}-vloVY}>n(k6@GjC5o z$Oo-|(}{FDPE+0K;B1QT7BCz;ZLx3I2U#{-wUWxWI&2xN;z|T%bxNPl&OP7z8bf{5!sS}&4C&Lcq&PAG2 zFQVt>v5^{dVoNEU(1vwAGSBXkpo4p(T&RhcUW>QGA?)w=f<4w(VbzO#Z5LPi1J{U8r zZn77rvd^l8=y!YB`D$KOfV9_S?kd^ zvao1DBLa$`9aY0p#Dce=DJd60q$ih(!&|g!Y5dj<~s|= z*jIGlUiiuFNQ@|_g*`p($n2s1qh$1}7GsV=z8}u`6nIz$x%V#n=YgkmQ{za?$^*#s zkol(O!~A@aCyggtm9Lj3Z#v7BsFom&rza0zta>;TxGbnsxc3hK4#~TUIm{6F=aH`N zsIW69nXc-uakvO~O|1QaQ^nrGAzxPXHH&U%Z(ANzSR%}`hBgap@ougpXcb+}wvYWz zqd{0fe=V=SCs#pPdVjy9F>3JlBR(9%Kxa)z+!2Opa}$Dl;r$E@t7?mQ^0;@Ea+CJg z?by)F9E6H!`e4hF82ot)Y1UTOK^?x&H}15BR7n3(^Y*~$aRXykUu&%$eJj$ht2?9c zW74*@m*#FJGwznN(+8X&jct*wsU_eKjYFtbMbZrkqm2;1?sT?;Sx2-;?Mea2jt(ZijbnlM_(+J@^bG+k9VcVW8H|XvVLi~ zYyaS)nv0IT206Fxga&cXf43mC+emfPJNH@<{>i5(NvC!l$yTq z%y%mL*Cs~9#r?)s{0oH(EURk z=WV`oFp%(a+2tnAaz=+mc9PRHr_R59YpGUvW_}g18@v4HjiO~1{O*#ne+zrfhFJ6Q z9g@ZAW^QG!ostcQdV*1$<>ux&f3YpZ!*?m~x=jHBp;Pj)*NBWaWJQPRiRHFEI4U2z z3~FviU%ukxA_Bka-?kM)(yZ+ypTQ|h+I_2!72tu%B za0+H>O|O_8UyJ2kC#zU_@K00{iFIMc=DRFNkZF_jO|Ue}#c#ucKkpvpXH+aq_UznM z3ZPrg*bLV(EpVysta&Wu!&doo)ijrkH~)-V3u-v5`;K?#dY%6fVv@fI_(wJk2JOe_PZ?n?w2?z9Ofmr;$MRR$<)QVMh)wQ2RM>`&2aler}AW zHcRG3m07UH7xGs`WIsoQA=>0tMHzb{Zw^HdZpx{hC|r+m1v8;qbSGRwI{SQ)cR7(8 zAF{PR?WuR+V#A;jQYo0b7wZpNV-K`44<+OtalJ9PmmDvZR7pc0;ZWwRhIqF1r&B)n zeM)uJ`@viru9LL1l*XQao|T}|6@EaY9-CwcmA>m#;Dw3C(PTv)MhZ7d8b>pUM8#r4 zH0*BQjFZGZHaKEdWLM&U0^t)v|JRANXUoHaBJImsE>>e1?dS?zQ|1cw?%(F|R+%GH zw2VfZ%zuEV>6|?mm8e87*c}3y<1uI?r8mIEbDA=4UpISTn;TMGv!Xx~n6cB_%zNp> zuTb1$jEnVR5JiQarc(o7={9vPC;v?FG2uk(cTCSTTLDNeWZFR=#(HxI47T4MW4{K1 zrtJQT@0mRG!skCF?W}!DB2iuY?l`U~M6XOseNWM29bKsA0o`uaiDJf>q-)tOG$z@n zc~z{2c}Y@r-DDXy%G7=fxn1ileaCM?OG|t2TX?v4_I{dxeP5GH2>1Xfos~Am0Q#<@ z?Xg!&kgbg2D$gZIsJPE*l|?^6i`z~trAeMV5!1)yUjQchn1BEQWEW+IjnRPjiaPK@ zD!*-P>#(?70uM^vvh3Eb{@(me6}K6vs=T>=ZaZU|StExea_Ngeqk0^1ZYwyEDk(@O zclCW=&V5xeG3R@*f&_KZ`7Q4b?OxTT+;O0HA&qjx!0GK0ehwxMow@ zG8Y<&*&uN1xdnTZ$quKa<;nJ%8KO@J^zSOYk2<0LTetfC%;Im?ljro~>gRl2eaHC@ zj_rwKo5Vd>J(ERFuiO`w;meW=b}i#Vcp`F5VUVA(*cMQ(c7R$)cygtCZe78<7(vOgW4^| z>ubj{@pR`3bzI$2BGkxQ>$JMffjm+jC zY|SDKoo4_+xo!iZBAoU%G`ZrgSV_>1wNmR zciTS!*G7+Y(lqo}mz=H#^Kwg4=}l^L>rXW{1u>rw++v$nFKmB|=_T?mj$otjq=6Hu zM2ig=3V~FNaFz?PVR2`wYvPb&mFj5slQr-95|y5Wcexlr6DDpV3e;}96v3s1 zlXZUUw}DuSY46QroiD>&z%BW-gKp+ZLL31^$1_*n&wvVegd`%Um~Jhz0QipI_t zJQL>+Ho?+y>53C!rNWKnxfBQE6*pGioB0Q!@Z7=J}8k}pon@vQd z2shGCs{(IlF1$bKUfSwA>dujfni5Kxc1y_~A|}Pr+3G>YZKY=|SuRdwz!F>x=mjff zYmA>JRX6Fd{+6WYhQ@`k12MAk{L~blr=xD@M3Jz0xV%rb0(eF&W@&`=Z1s| z-iObX?Wim}=>CCy^E_#AandA7sAv4qe@v}h*)`Kl4wMxvJAoCbd)mB}8d!;Qs$Vg? z$5%0%S!T31RdoNP$lSr1 zGx;!umA>6Vum-KKxSD=4iHm+?koPZB<|6)_2P4zIgR?2rSVgz`LJXCQ%+9R`JY?DZ zm97D2`gY3u!725O>Oi!yb`#Pxb+oyBi&4%@lJlQ_Ebblb9U+Ohj$D=x`-n7mq;M}!I*OZW7)%69Vc z@bmV=Og^k!k7&&bhaE}!OAUaosw=f0q0DFjN{=%&k5sEcXC@xa!1E%0!g+BN`3oeZ z>9P7o1E`KHyHgcT3ApU*Weo*(j4YrsQjkS0mbeMietkFj0cNWj-+=I*7>sxnL?VxWanAZWL;r|R)M0n?T>1p z9uaI&Y9Q?C@au#FhL3*>VJ4eWEtt{0`8MN@8yb>uNHv>+6VdS9mm9^lD8woW(lE(n zoI$;P-(NB6JJz3`T%DO$By1NAiP=bg$W;k3@Sr$7d1q^;a=zIXaNQe$E9nv?C&#U6 z|K|;tvZ0*fXBx|XcP4?inXUR$QdR8xVdGtq+mSVwzo*vYDQAB?LP~6oyBX^nqazMv zOxsmQ1toKrPu{jExD)=8?nH_Sdj#u5NFen3nzel*4_a0<8o)}HX3+H{;YPL-$1v-R z8Y6@Dn5NKG(&B=E5mLJ@y5oN?42v4jcx<=AAuG$bz1cdpz9IEnQ+4h(u^P1#xi9lV zklr63bSz3;1k=Y+5%uR97rNLQ$1%_%*CpjWM{*QCt}exPvPd-G0o|d;cW3t-HX}65 z7p}yXz##)-9WJB@&kUg2Thw`O0Ugm(b(Nt>=a&{^CYaLs84`W# z{)i6mR_+)fuBXi&y8a6)mWsif+aQe>)X|G)Qv}YC@mHn};ria6pAxa(_1OO7WE0Re z22S>ATI0Wdpb^;h?ec~`ZY%c}G5-J5Ziq+1yM(ij^PjC6s!R6HEc^REni?d*F0? zEb1Nz*PJGfvur-sp_c5Qnor?$@BbX4?<1^XZwC^i(v^uzg?3Bdrf1e9_EZ%OJH{s> zv?wujjBkbB?c2yrjD#Ac-{G8@elmN6F-qq`5KL)hjpJ2L3A`^}K^Ie}XViqua6oJu zcEAp8#xpwBbtWby!1T<<$hIJwqpiIpd-=iGq&;sjqlmk<5u?<`&ERoF=B;bDYsUOU z!AzlXHP_C2SNVtU*>6{W^DY`iNu3O7p2QRzQ8x#D$H&R^mqU?z1uWdF4)0?q zjH=GLs^E6RgcPLxARbprb$MlbqF%-ta;+G;EZGkoN~u5Tf4(ROv%o;S*4Xa+Ys98^ zoR$49M05}Yf?An#cxR3FIl$*8=^hvnr%RHQU*=S|iC5NcJfm%|WtE%|`YNIDt zB+Tp1sjd$#KjVd#YXdbSzvvO>?H=t@OOeK<`D5%%*-Y)*9&?nnX@9&Dq(cOSZ}DpmeIq;p`-|B_j_bJZ%Ar{YTG_vl z-HBfQGq~(o40*DB#4VdFo`~yc1Y@CeaM9C3v{=jsM00_tV2sM*%5Z$W_m)9~a+byV z{_xaWprIwuu^Z*n*G%p^ki}Y2^Hb=|w{FrUCj3@oyUI8H^$7znQLQ*d|}}s}%kPmMpQYx|ji zo%Zqn5C4Vt|9CTmHUhw_|1TCTy?@D%nd2`!!s+pP%ai!y?n=qoU!u#sWc(c9O#Vz9 zWyLKkyeVE4VBYxqaw~TIU&dte{093kxe}goXY!XABPAgC`>;jm#sPSk*P&+c_owYP zlcoMXy?f*+^Y^Db5T5s4mB<}>U6P`;XWD7lHS`FP#lAU!>sm z|Hrj^fhU;qAIRJPAYuS;X4d^LjP3_c9k0Vo-v2;%z^C)?zxab9Z)@^DU;AInA@e^8 zD^J`dmb>CU`&z4!Q5$}TM)QSq$Wt>w!@+MqwRiHFSWUYq z>~fJ%y@lcfHE^8$rp>!UktzH0=A)gY|iA?8@X95ZJ%uS_66mnzs^MV)JDbI(!;GJ0?OQT2dyCmt~CWsrJ zJy4q|ekRRKkfRcpIzv&jwUlvHW^zgGb9X7EdgOYn_(I7eeMLq7VX$NQ_V`bR8^fsq zv84Om$Q_~ZN_n~h$v6`r2zS5B#-{^Er?ZfB$^6fRnLOtFA zsdIdlJe{N1Kp;vmTUiMwEeShLE;K7VU>)Fa+Q*w{zzIkk&r8x zQ41LFCgujf2m1m<3qgmQs8I02w5~BVJiCA!EA6JD`gFkZYnO!!`)8%;OUsL&@3C{Q z1OyBXsjULU!=h;oEUc}E(CdYie833r%B5i*XgM`Ai_Y-;wl#pPbT@t!_rJB3@Vjyw zaiM2aoJ1_O|I}3p(2;vUSG&=}c_7=PIWYK@i>!Uyw04H?E+!Nuu@)NV*>oaIfKx9r zqSVZr)4{ESU<-6ykA-iy90*JA#^*^x2;&MClXDxT^juf|x?ZZy^u_+Ax;x*eSR=MZ zM?U!ry9FDXjS1`NkGG{Wze>~T8SIMuS>!dxbt&54L|bxxs2yqm09jaN)KkAK-RLn#`nA3k`)l44X1ay8yJ4?QyQISYa}!c_)313!GSMjEKEN1B zepn-VmaJht@Cjf%TK6bXCvoAlb7VKA^O^I7Q|1N$cHhHX(yG60$yJVI9JzaDTX_4& z#plB+gWk!_;0q%XBB}8bZocKx!RhWcZza-Tqp?1@IRBG}#mt^Q&jih1)1qHn^>v{-a88_b46^ug`;=XLf zg#@w3Tb0QdIz51y%KPjWmRlfL6lknKw8Y#}zSaLd_d=QMtFq9K44W$+vA0HH;~mcu zX|Hmq&hXLjkoN|5beoS0xHCRp*lp_Z`%$8+(N8Zoq!XReRT~>GiAl)PEZWA&6sy5- zC&8PN<>ZzCUC$p*R!)6g%LwzWPeVr{?2qvvAK`*gDa{VJ2n6D~9nz?Pak*7_lk2~r zg0$;+YHyeX_N1%v>UZHc;0!dNHmT!hGmX@?SenLz=WLdqT!pDBW}97@V+G0d9j#uE zoHvo1>nu+JZkN@c`=5kxEe`gD(f@21NXshz7n2lo_qMNnw$n_vmF5GpKb9indptqv zsP%~ox(+XKw0oBu!=3^*gG^4Iw+xSZy;^^&+ox?%noc~&YGO` zlFnAW??6YdxtmV_`suet#|uF&iO#sAu18!n%GGT7Ge;*>vF0Q;qL+Ss*Qbn{29Ymc zz6EAmqHuekH}B$A&^8a$WP@3?dVZWS9ru*yG2>ls7$v3-Ui_mbd(#p+r5(<dgKfu-CJSEmFc*$jl~G`I(svFHOGb~O$_FP-PI~VA zpD#N}Dwr!$JxHTGn4XxbFi|Ww&`vq;r0nVG-@H&*=&8F2L_5GMwFcPkx-Sod`%&27votgoc* z-c4Ks9w|jHOGPApsaJd+1wMqnl9+YL^sp3vuD_flO60;J;Sn(a%=v6LRshX!=V{4; zL{*&~Vin*SahNlDKD%yp1KmTb8ACE*&pV!oyY@WMWvT=|s;!l%(8!CM=lg6|Z%XtT z55%I)#%`5l`j|29g>Rc?O7tfyi{H257lLY$M}AAC24b+I+zK6n%6wB|%-KsizeZdn z6`3>LA_b`;gTL2ll;aR@FWNwmEV$WBT%*WSF5FilXeNLFV*`a1;m)t~=TIc(M_`e>bguyQG)^0mlJr-ls_q>S#PVs@cP$O4{%UgtGemi};U7AQq&p)+~_8$obE)z1)p zoIZ*Ji_QFq5@!UrqKEE6trfVZeA{COMjtQH&ZQJnTk&>`uyh@SQZ9Nru`Vionq9RR z2cgkRNe?&>k;p*zjPx&7GGauV7|v=a#+6C=zbb;?|7gr8sB+)iC1qh zlFVaqczpaBX!%z%nyTtGpn?&%j4+?D{adk zZjTLBlR8i}=D+Q7(H!L*Xs(0a!4LM$Zl~d6j#Ldraw*{*$Bul-r4$wSoOcf?7uv!{ zt@Q}wgiHd?w_aO{Wu%N1l40QwUVTrjSWRlT-d?Oreg6tR2E~;VWpA&l$AN-{UdJX_ zw0!nIy-|@Yn?zi{xi&827`}JtR%3m9L~GPcuXqxh$u!bWVq(!s93b+K;VZW-ng3w7 zq~kt&Rgh(j1|IG+KR!RwHBNu9#l!wN0=RXw^p$FaO*5lN+z-WsBvO+oxewMHOK6S$ zkzOB^p>IiMzJO5v2O-9tFLN@ksanwH*z{J;u_X!HdaP6MIdL$UT47BdF}H>Cn17wmv(U^_iYE=Ly2&+n=y9C zl2^H5;Uhp)@Y64J>G~$d=`|oN@Lyx+NGchf+yA~>~ z%et=fjS@9AwOJUSR#7J5k+B50a|;R$!_pTiY)q!uYtQODTy)0;4E#miBYGzI%Z5ja z_BQhk@rbtXh$N9$r`%nH*7&v?zau%5_4|4E@#0cfv{O2bhm>SnGt zLb=YB1i~?Uj@RIP;w>}rFiG#k&|GV)N6f|@AJDXtpNu=Hp7cXE75o)-xuv5J^~o2j zy6IPEPqC&|Ow9iL*sR-yhj2y+QbkSsf08rrvPc&CENH7gSZ#)pT~+Uj3-$c!%zf~_ zd5-M-7XIP-s?|wmG^%#`VrQ6*%F}MJ0Gs+_Dg~xxe^jhRb+Ez|YxJQBu)#0}pg0c? z?mTLbr!2;8V=|Jmn3WK81{-Pew4&0&( z|5e%VpRe93d)+R$HHI%GhR!mqDhBL3CrWi=fR-!~g|%0xZ0Tf;)d~3YY!zMNW~l+A zo5WKQ2R{#7<$$vLf91|>Ne(a7vNMbUDbQ#9IlC_yG)!)5)boTf1>M(NYgZYM8wh3Y~lm|m40 zE_kk?0T=PZ+#4y4pTGmD*ONZ^Q=Hy@a~*Nl&x7Web@_Tmt&^w0BlOO*->q$C79!n_E3Qba1JGT;rhr!~<5?+tw+j`Se7NY- zmJe558(b}X#lFU1-n8Qx9Ijlt^&AxgnyT^o#nB#OZxDU}sukOv4Pap8%z!rr+L}}+ zn|MVi_A1CLZ0;?7-#S=#ak#H^D>8I-GN@5pWN&pIdk@6dQhr;615SvIpME3Ou3gFm zNJnaYV807@d})4XOEcSGP9tKbQjRa48yTfP=h>~LX|%mk!CTs&38`K$d`3%)QQU!Y zF)DZO;1Kb%@03t1<;1f;Dc(uP3+Md?zES5OG$-CM`4Di9!O@PW+3yZX!JnSl(CXW7 zd#4QR;@Hs}$=iV{C>p#id_X_eR^~rDo6|<|gw-~^{cPX`^yE7WolGA*x558nsWzH> zKD6=opnPS%PN^kgd5dM$LACNNFmX7HgA{?#o2>Y_KzD=u+GH%JHm7HyU7IuJ)evRB z%3sF3IwW{#bATHN(}o7Ck=499Fui&EV)ImdoFS*$ue4!@_lI&q-z0E>H@dP5qt=tZ zJ+C-7F7Sq@Bfr(x>hhJ|@dIl&t}`p%0zr9VBjq545Daq(%VR41q&u^eck#|LWW1Jt zr}3EjVn+z}vq~-Zn8T7k73kxPcd}Ftm=Ob5nmBGie0=z9 z$6pINEerr`>0eRW(o)|R<0e^tEj2C}FR-tW>ErYp4e~$DFD+&}go=jcZ-?Yn3v`r@ z`Zn{7g)1l=OvGmCwG7d!y1WdUSTd zNrOK#bRt!*J37aKeN6Hn2~jsfl8N{Cd?H+ zR#XBL*Pb*nKH8=t)?s|Qm8YLDMO&HY;1XNYqYx7&7nd3`XLu*2xA`eBC9wRxm%ocA z*m5f*>%whA4saH`R)OMyxi@>)eX?!FPqxH@u|w4Iyr4qaIZ_OdTRaG{lolHF@O%kDjbW%Qlsq#gZ#)d92cBxOkjArUJdWw|u&Fo5 zA&H$`^UT<{291^bL*Q0j-)b!Vn!!S&KOI`#uedro`a3efRK_liB$!X}(=Gs#01B|pQk&RG&Y2WS)!dblf#nS!qWSSm1$fU%_`0DPh+#=(Z z&2@LDuipyQAAKj9q7f~J1MMu^ayE^b-IImK{?8~YMVD#zkGmqsr^@48xVsJu&gw^P zusBAvBJ~1--qtpZ+CX(WZnx4+{A(_+#{IY?BR~5h*^1&JLY;F9^Z5C}BCPi=x8w%J zjYS;PhtJ*L$KK%|@S~J^2$5q2)QI;aB!J`yAFO)At8WX67+fL;a|@Ad{`#)V3X+P7 zw|IH)cM}B+BH<<@FML+9Bm26jd{WC!EtqcI$E6qLYIWX@{9+{Ln|UVZ-ree^{#Tfc z`4GTS#v#%&Quk_@^c2c6JUk}5OZZ_*X2akIx&GAud13>HtIr_MjxB8Q?d(ZU0S1(C#dt97yU)u<{mjB|p2LV?9oZ%W&CjF@ z@i#+RC7%(In;k-YKZ;F5ci++s509{zR0vyi(ki)m@rO2UjXZvbMqI$~sUQ7~Yp>7I ze@8wwF8dpT&YiWiNU;Fj9+c-c4#vR1z+zBmW90=z&%E59OSOH(J;Q1>^pI@2jv8NY zaVSw_I#aW`SU)**s3LTXzuj5w;lYfxTf9HbT0YzPBBapj#&#CwPax`JxE3|c{PCO8 zuf8d!elI}Dn`nn8L4Qd`5WK%5+Qz&Lx{SWv4{=5A(&nON14JTo7~7sN-+|$uUr0Nc z^I{3w-Qc~kS6aLhekJWt8~#oC)72mQV_O}3A7mkBk%5;yMelH$hwZ$Hw-jX0uuiPk zv@aY;?r65&Ls(VAf3ql`(0&k*MOWIXr|K>1tu-4W`XIUe9gVU%?rH#SZ@DQoam6z8 zHAr$egO)|2TrzcnKYl9l(bWhc!Knv8IEn{!-|rh-n%lmw^v5Nv$T2F3aCStr@jh4y z3>;cB!WId|aW*dmcm9Cn?!+3P!j|HnlE!kGH{X`S zh||iDCslu@9)KLPk>XLRJPzkFOuM@&)uLRZ1(Bldr5Da39KhHKCz6!pu06q)VA!y> zVmKMJIUR;q{imgFR?likwePCwbN5?b-uIr-{xxV}M>a2bp_46_c;x5V-$ODz%ot_s zZgr_rm4%-rjU@HqoBQ}8ma@&IVen3_(H`UyJNSIDFc^p!2Nl!eKkhAuvP{%I_#=cO zYCL<+#*7p0EBMgSfC{&?t+m+N5hQKiaE&91 zADlK8uhbw(y=7MRq#nTv7uMK$`LX`%{8rjaQY5$EkLS14_2$jS@~Cab)swdz#qBIW z(qF6BNs_*ufOk`fOk-B&X6^R?e-%adtVLj}EhU5W??T63q-{wZ? z{sU-wYwf4G0PS)Q0AKQT|~04qcY&CI`4;VCE}_p0{FmXmr=}?D02RL)27?@@lH#60Y?JBJFaptfG(fKlHvyc zzEjH9`uby$oiu#dY`(AT%H`En1O3XxkHT&pU{u2pBG-OLs6;4>Fvaef^~OfF8}(?4 zDMk6}ilm%t7SSty%DY$CeW)t-tlF9#ghkSrO}+1EUWtj9LFz%kij8$|; zzR@=cj8M(`v3m>u8wrj*ZI<|E;c4Er=fjOd1FeFup!=#xxe6+|8*SO~sgjY$L9f3i zUWbhj5-az8$nla0mO>v3TZXVk!92BCM(wgX@8^$y?2Y|mnyXQ4Gj&JX2f7Xq26DJQ z^bjm6%}`Y(-{{Wcx&rAhiqF2$6lHB@=udS`V8-*rxATgFo?~Hfj)>NU*Oi1xC^ErO zF&}M#ZmZdUQg5K#>A!ffnRFua;lozbVpaByu;(rD)#;XUWltQ(hTHSV;6kh80e;S% z!JqXKRAWZ(}#wC;Sz zDB(n`#Isc>)Cye;7_R@$g77Q{txZsCu<$}#(@S=A^&on086+9G07Zd+Vy53)0t(vVfH*D#`k&S&Q8Rxu++f?9#F9QQldqrJBRGPU&>C`;1X_&%0YIcE(!P zEv>ATr%E&}b6cgeGI{#t6tlal9?-FH!|5n-5MLOj+Zs8Bi~chk zAlgFr#_*&zH16P}Q%T%ZH4rQQzza?W6g6&)Q6L6%?oo?Z;oG(xmJD8*xE zee_6pm*%NbNN)0y8eDiN+7BN|KsnxeL?C0#G397G;25FLN-vMp4pYoG3sxbw^+ag-v? zHuaU88MXxIkXS0xa6ul*P?d6dVcXQ;la|O`*=Zi}<1U~XVdv&mHD^#Rq$|L@W4i-{ zLUdSnuPDxeoBdmSWEZea>ZnKWC_CYEQCv~EI-b?2@`vws`hKdB|IcM7wPHj_-(_V=S& zTSeIt!X^AJtK4=pTHKK#m6eqy>404vdMhh{*X!_;7TaP~5zxMurtDowK#6OKGwuSrs?LjMMLE!z~kin@zF%2lgi^$~l1shz!$o7m2$618`$ z^uz%v(!15-Sjm%4;o6-pHd2A|dWV#A1N}_Ocl7oRE}vs=+vb3NWFFM8UXA4#Rp(8H z**J(w&%(^rSn%b%vJi&I2dvU70hAgMAp3XNb2xVzaR3UCzdSV)s}8WUe9mgxGHBIU z$rgOdmZbrs?gPIkLj5%BA+mig;@dp!sX78JrukCuOMXDKZFi_RqBuy+aTUJ2w1JPS zQ@}xw^({GGC)jN0JB3k3XcR{@69w$-q?@0_2@AP_>+u?k-W#~lR2Npnc}X|YgPDCe z04+8~NMgb8`P()p?%ONqcCfaicG^)?>GSJMBfo{ri}dM1PP^FWB(RY-jn z4PMaYV?3NX8{>@oKym?2$ad$&E8H0&a;b2R z9DzjeL2`y#z=6In<@2NEjM3;R#Xjq95j7$s)x!T+ms!G%FQ~v$j7N9VPeK!govWb>zrqxNv`gCV{ zz20y-TXEg)Q73Jq`GHtd0!B(!z;J>|f+@O`IZNWp3r>NkU-tLBu67Il5%Fmub`xc( zUA^of>r|SspT`2sNptA8#Ku=GZF1?eC-ZVy;vJWqUoI-sDtlGErvci4MQwxMJ#IGO ztG)kpee@(zO-pvE&GBNCSA0j}OYJDr=U=v`HbW*$V%6e~duwtg#C(=9fmb?RLMK4= zfB1Uqs5bhof14Tz7aaMvKkp)JLVwYUW+?(UZ2MT2W_cL}b);eO7! z@8_)dIqyGVu}U+uW+s#G?0xO)Gr_?xx+l7aXt2C)DB#TxfclXcuZ0`-Avir!`+)-f zud{cX6KND#1<~0-uFw50ia>0LH23v2etyBmgtox>-x5(rBffSm**gIJsQ?UU15#ki zFCc^8D8#&0?@Pc<_tr(goegMg%0KODU!LyDLIqv8D575C;dKCd>^uM#eT0V7hv)(f zE{8`)MnJiqhGyk`I^Lu>PQvnRtL z9!*T=WPR?%wm{XM%W#~qubgL27m=K&TR>$V0Y!5zc<o7GVp{fEYZBhMx~Sol;HsZo$6x@-tC^xcMSA={Vt*B80xv%yqBD> z-FI-7rOK30zxfnKUTg7;UXU_jm|S4~qlZ>Y%dcbsPo@1TbNJhx-Cc{>t)jl&WGERh z1IOlhO5W#gPGmJv+zFK3Qk&$9tPrp}j;@Ymxt3u$2^YBdP6JuCua}*_p}D1`1PINK zpH~>e*tB>lmE@Az6$jz|EkXIMX^psh?A&@8kBZW4SHjK2*JGs9>Vr>KPE5oC>{jQs z2EgC%%U)vV_)So39Yw7^7Z?g=L_`E-}{o`RV~`Xv)o@G8#Rv zvQ6>MS6jC@Y%fu_{PFg#*fOny?#?m~Kd>`$v3wP}tvLo0;6U4^2NId&Q;J!Q_AL}I z1o4j5Uk?=DNbMgD^+lZYa9Rsl1BG(gg)tNq@;RT+aV4N?oJ-_D?Cl#+_)YZ8I|R?`5vU`Q2|mp4&Z?=^gGC`HDF8M0S;xV&655uvmz zx!Ht&qX=4e8@j{itb*C)YwWI7T{ti1)VgiNUGXN4zNTXNn%kvB*PG<#bd%!=PQAye zcW1=B)0$+mj22t{f!s>}FcJ`#@2wZmMrm$t4kZDF1G6S+f8x)Mrp!}+{`m15sCpl- z@n~sjaRRjVJ;n{BUIXp3PU~*jqi`3^hzsI^7X2R{&II|9t7R4^qTNZp<08vywqZRP z42h)%m5?Dx4Gf?1g(y0XOFQN`%*KG|hy^uw_ zr_5)mrmBIcxvYIbvT}<6vI8E#@o4k27scvomGiF&S(JGF`_JhKVXXsZo9}suXn+25 z@}xgsVd2W%IZx%8R%iY8_kC-EF<`#Zo2$m?Ixva`ps;yfOZ{bJB28N6t*N!Ynk9SW z!*|lX8?+5#zAu|G1ETPWWZU;t_^b2%ow`tU;YV^43#qQkhBqePy~iSg^l}_5G|@|b zLfuO(FuTu8CJzc~-H(_iBJ_=ZyJk!ZTk{?&K`KdZM1wgGNwq8JorKPm!SPy&kUK{d zloGAJ1fz5$gF^RCXq|>^FV7X!(^xYe=G7km1q&aMmv17NBp{VOVG;4% zMjzW8vA|A2he?VDc4J1mwG;zA%OJwB#urvjc#!Tqg!?N$4MQDLTb8nF4&Xz?#9ttnFfT(nT~^4?`*`XGGjCz%;a)bJ#CQgQ{6SVuGFf@O+Ou9keg0S40~A zNDv7W=_|V#8Egy77}TOiJzFxRn%zo_R<>XVx9+HHcO-Jxw=Xp(ioT94?0sXOf3x*y zM4qu{Z>yVGS8xxW`y{p0V_as5%Gll4*%c6yPF1X>_U$%$HE~vOP%o6*Wx|2J*}2h4 zT#}~#L0s=zP-au=%hf0l&)fKL$ zHY%j_CGzJLScD=vm!J_J8XRB6cuMzKRnnaNp{O@+)Xu%fg@Sz^2SY5r+Wqjk6U3LF zqaQ=OkT-dnzZAn!FdaSGmPBdH;J9^hlPeU~*(j|sY_I=jRSzFIZTmsw1T-DrSO@l8 z8V2Ut0S@R8v+KUKZ$xDbEYax?IS+Sqk;gwn=9=f?b>f}YkI0NNjDq{eXNs!Fu~U5< zt{yy?c!V-pW`<_(d%&mS3+<_YvJG@J(%s|MM(w~!_L5%IPVYJ}l`K}}x>Y#+Lg5YG z_!U;zr8|Qprq9_cl@>FvuLu}D`5vV)=@BIzI-LYOGB+2o!$CoJ>e^n4F8ba-Y43R5 zyaH2?YV7|*{VCLrmU4@~N?g2{Y1v%z_&&%xu%U)ze|$5A zNWB3fj~c!yo99S7Xi=HW?-nUB68D@qQz!N|kQFmez26NpbDwWiC*fQo`RZUkZhEdv-nOyJr7J%Zjgj*Cx9cMiuJ0u3 zXYVEqRm2eq z&)u6-`P<(cqP)bcN!P`PSBC`%UsAuOD%yT#d}GaR;>o6!46U6x{R8EhN3WPxej^0* zhs)ksN6XN5g+q;Y&hvovppa9Nw#Eww5@5dZ;KdWKnoReK4ANdJkhi84)x|mB>ei~1o zMs$n~e7ED39nMMFLkQwM>r5L9jGz8RM^^BvHx#*kfuf#T+tL)oue&qqT&(`p2fJru z)qG<0N^Wwgi{hP*5<&=AyMF4mh$d9X?!5JvtHLsb-CSJd>zl6n$tv5gBR|OFJ@F_{3<;HByRWUn7I`ww zFQ^Vz?bRnIX9it|QLL(p{gi(#OeYi+URyoE-4|w!$SzC`4~b)LBld|VQZIXJI!7@E zHCheH7_+GLx_+^}R!GOtTZta=BE^g27YJ`#P5hVY(ZZT{^=+wt)ZKF_oAs;^za|BM2YA!L%(tVqdIVYG z-7zB?nzv()U&~2Tfx?&k^Af6K>p}R2DAQO``_8;M_pj~8*NVcste?&x>utdl%4MG< z3U>?Zyf^u_35wQ_VQ})`ho#85fpt5TXB}7;2_^IPcNK@Ht-dilV5FuUamf>{`jyfk~(BIFZd4W z^lw>d`s-n<%8Sb$*0BGt%CmV=kZ7jbHUntf2)q428b#L8{=-!##Iou208_yUzygkh z&*sgqj~o_*ua%XRQ;67sIUJy}x29G956u1Wb9D48V6d|#=sC5;a3&DK8f$uceF3B| zmYXXMwEf^E#$N7<$PxF)aF68!W&-}l&G{ZYXn{P7!2}#X)S{v(^)9Jwd=~$fb26<< z>9OflhmMY_qT-S#7wmgKw{OpI{Fkv+e8YOK@q$}yzQ#WFt>%ZIJ&4xc-k!%|ad9y~ zg_6v|0r8wxnbDIZK3ggto_+E#hX2Kr^ITl___w#eM`2+()_D1sh;! zmtX(aA#oGb`g7Yay90rmeQ07NJI{AqW32$-|JpU{rV z`d`*fH1Mic!9^CZUIs>+me$wfrrg4UgBN>Zn2)!{dJV3CD$sTl49MjG4y!pJGmU1^ z8qT!*N8$SP4QQeYi1g@#3K2+2NePRHBygMK0IttUo2f{kSpl@=N-HYf6{#;TFJ}L z4@z|8nEy3LflN&O>!-)&_xlluL;?E047tz0tpe}CBvUW|h&xBkr$N?oCRv*~_cIkP zmYWU0pHj-n1Yl$SYft~f3EY~*%TGD~&$t9&7XD}O1Q(bl$^MUNlE1I`Zwv<}lcoO> z39mfSD((Ky!G?b>Qnbopq}6|ljsN!Z0$clgzW}YUVcUP3T@k*Yzli0MIcffW@<4$I4GfEPqp{b*C9*EaoavQTUdlxT!)0t~qxN$WVIBKUx zz^ubuoLbijSMgnG>A!-9YBYa(B1$+Pva}i!75$^Vj7&-kfHa`c3Y5 zrXWy9C0Q@7u-hZH)2mIOcV`@}WRjpi{+(Y5vRvf+RyZv&m@bw=)K%wX+$ibXTAs_y z_%;Il(udh_`*hQGdAN!(<(*I(+nS_|CQSq%`AUmx(qMMhy0mCY$FQXQI^090O3ikZ z&&n>fu4P}vm-2kv&%6^^q!%8(?6IKNOxTSs4OI1$i;&|{(W`EF?^}LFY>b*S0E|-h zr<0xwD5(f=q^EtxqcDh8wSOlhUGuuo8nS;Zt|FSpF6p7=?yZ8E-${Oqb!25mbCnXE z;tix`{#3r+(C_}^WvSK2mt8--%NUfRkN;R0`OLo^RU~l?H!zd@g)3w{@r%~XjxEz) zl*+CP_Wri=!SFB^pT?x-a?`3ORa`OUr)@ww_3jfspVi!e`u>jF7mqGhohIbq9b1E0 z2|a({vdUT8I1k}D4w5*$$4^(-)G{M`#JnjFk&kah!s|MKFjyYdf9kH_)7W!0Xy}FO z#S{m889U71;rI@KyKZ`2xoaQ{%JB-RC)r+6`3!0@4+myfO5C^68y$oI?zmbB*vA)p!gh6kX?5A!<(Q6_kP~_rZYo#3_x#)0O|eP>`TUyR5Sx{ajs8HEDbFuL z5$TLJw$gFh&Byk-5B$XqOLxaBYA%iVcYJzvkf5Ap6DS@ zwL;CG0E`5bGOz$$STLoT5L3!%?@E(#QEH#+Ywkmr<|`ud)hzW zKHY+Jceur$C5Xt}^2C-;M5{Q$b2zu6+dSKQF5>b++SAo|#Qya-#WA2ZovjVdovETX zyb(;N_m#YCdrg`RZ*5Fpl&EbTzzHO(P^zm-;+cgbyVD_~-VNl|W+f&q@fZC30vs;0 z&H$F;6spoFj!svUA`ZYJ^H>*&ycHTsFxz*XzIVshTKb8Sl1@}vL!TCw54j}mlr zEVJo-?!zMO>6MGp0(dliV<3)f)zqt0O82dcn%874bI14>1E`ryc9NhlfKO=9v9>=#2 z+{6@q#ioU6IPDRRA#&9;X^7IA@zkabc!R!NKJNC z%O`-HShlEUyWHp0s+pn!sQROc>Yw59!5MnJm|mGLZFS!V!p;7evWagBsJA8I*t$|Y zslHmMXm%!1($2aBF&e{t;PdZ(`knsJEwQV$fyuQ+~T46C; zP2`l#YP8c8<>2_qq@O};;o~3CE`FJ;NIVk!k@S9@zLfgUhBuurU*fgFVXT>Q?)rYa zLe7?Lcg@66aZ?;y*G*EP+MYj_*iQSlhvKW%LMq(mpZEy6O>LZp^|+O9WsG~2#Q13| z4Uatl0RzIZr*8cM3@E^w(W9;Lr$~wIbmbzTHGzAj0=3GY)Kc-h*7%#7n{p|_L?}*9 zPQZe$18CpbIhlft^-KW1|B_g*dkuWVNX-ok0sT-&KYt$ zxoncxR%R-=?5E`AB>F7W#m0TRA-;8D+h5J@nRC>J|Npj7WcWW`s~ag3YecskFGqATK_ zupe>#XU2QZa3p;`tkYVol$vvqvybSA*D_DhQ%kasBuoljk$et4U26jW)gfE!ouGFQ zkP3-X>#!pH3E;9omMEz%DF(xhZvV~W`YtNk=vmIjH}Y@xVsC%P!M2u2`6IL_b%1)r z@?mUSn(ER?_tkqcVR%@?nrUYU02W)J5iAVWat#Ht5$}LXqI1ECJ^j|D8*K@?f(|&J zlX8kVmk(adZOwj%hSU&-O&GoLTxvDe?>EM#s+StCC5bCa9BGS#D0!#1uAG|)?u;k#*IQU%rz624< zC!jNBW*_K1QT@K}E+JQ+Z*%D!iuT)b=XL9P$(xr%*q>cSJoxYI8DzF6bgD)2T-8kr zTszmw=ZIXLDP69r%{)5~%OK@B9h1eQmuW=kKg--xQkTZO^F|v{Wkr)aRzv4+i&Qi& zwhmqppV{?`30$8hoq7h2X1CK*>=|Uj3c0d%Sfg zD%*TBWziU}H~q0r+g*@nyZeN>en`!yYoHW4h)T>0#6YaA=*BCGl1QG3LW4qsdPW)v zk!`TsXb5v(C>u74#lrSm?fO`K9Q|xpzw+FQSviMFrDcnZaZDZ0YhqW5j#9^u%zp51 zZd&%baOTh2MV%cTw8+)v<#+HD5zF~z5g{Om5mBrF6}(Sj1e*989Wc)`wg(R$M6>JP zy3muM%y-5}hbu0PFXj+jpg%8re6E+}Jd!Wa>FIn$8R(1n>HgrskHlzk=MRs=MT=2r zx@a98XPf(gL4k;U)a4D8cIN~RP*q6Vl-w#j-#u4GaeBK7McvbDS zsk_{)%}b2T?kqj9C+K~XbT*FG)OwO8b0_b&9e2Z~RBa|;v*WbK>ZXN($xXVY_Sz^X z73_9?x}0lMR9c`i@H#vz4pTi#7=7No^>w%!#C4Pw!RZS5-B?QYyg_l>Hp*@JLEhrf zD?6N(Q1bV+34Dp?B&g|F^$cr zVcwV9Y0193u{b(5=K^)*tD7#JZOw0l%sUZgh4F3?<6);W>=p)Jc%vQOZQXrRe(2n$ z(cgsNs;+3+ZIGsc)_*uyfFChD>THr}a#|5M!Fdy9NX9r;`(hgvzCPVt;T{=S*aIq- z0kTvzPJFJ)5JwH-9ob`!p#+Xs4?KMlu~QCD^nB9ATOr;2^9UJ_7ZiALQx4us+4FcZ z<18UD=)GI?On?1`ZGtoBpxo>{4kukB`w|&UV z%bcwZ=c9b^3L~1WcoK^&yl2+0Jv2oV#n$n~&qr4;gv{|1H!PyEE+pJyj;M~oxh-Yr zI8Qq>YR$tBTi>;!H{zpwp4OIMMOE7nXa)fv2lIfg_wS8ut!)QCxFCo0Ch-}q>XR_7 zQmGhN`=$HF{o)CqJ^ZYO-j>2#FbqbaF$ErDX%#%=gaJT!bgtNACYRKP!>N?_DcpK5 ztI^G7#qA!pUm=2J<^Fj3wRrZ??_q8EDbyIZvk`K{aRZ=v{88IbSMJmX_Yyp!9^Lxt zt}#;;P5)f7x9XX03WPS3Un~+LboGr{NW9vGv3<` z0GzR-Z*JV9^3I%Lm`)Vze*Bhie+j2F$B&}i)CE_w5~s<__aoxyI1{eO#HerR<^v8CqK0hVdRANxBcgQvytKk!9f&&dX_ByhYn z#8p_v6Unjc6%rEk*4El|@Pqeot;>L)<3L6dpcGO{vlb}{-UMdQ?J_{tYHa4R>)rZe438MXq3hm$jfE@9A> z-v)Y@p`$`5=md6-b+@m@3GDkIv)@*9fYG60-b_`TYJL~{VB?%@VQ}5ZHvx`f)y*XY zE*6!Do|x?y*FBX&lOfXOm=etZ5)J#q#RXh`2Q!k1cM9b$ciL7H6R@)Sy$N}qk{h-L z*ByA&u~@HP5Wn&W?>Ya}raytpFt!@(?EGSNbohoqi3tzO8ceG=%y4^m;S1QIfuZ!@ zUmn@a*2e&009)SU+43a73ejJ^pdah%Y9D4fQ@y*bU`EI6Ns>%8(tUt`Z$%=wDphC!lDl4tURqFL$5zYE=Pjvb+==cipjc_i+OkEQM=NMZBm;r ziOTe$!wMSJmgTDwQA*>C`Uj2WmP5~GPWyvzZAlX2`SlF66W=~Mb5WX^`C+qC6B!xe zk>k{PDDZRjT)6q>S--VzX+OZ-8@#3ZoEdk%>&GVMy@pLq3ou@=Eqr#ti*-YuO=475 zGQWlr0`=4J(XGiJ9{aE-pC!nno%l}qB#}ri7x)pf;M`_b6{rA>E8OvNBj&ovr9e^v ztb}balG7uX)RF@+=agISfcVM>SDAA|?W-RHR~&Se-%)>v2>1N8Uz(>C+jDEpc-ij| zX@^)IDiKPd*u*w20fIaye2Zl}L<=EqHf*f3Qix5@;_U(fwSy zgM!Kr>uqQF^3@7rFY;CMUI2Nr#=k#52qno8%Pe-;9{&~?XpTeH3|U5PX=wqx!7Ejn zYQH|FsWP5`G5jBv^JG`p6?nJY`pW7sUtV*O!(}=yyhmT8`%#D5ot>Ife1y%Erwkto(QB`ui>u&5op8vH-^_0wiIZm z12@wgC-_&Uk-ToW1a4twTlyT7;&U7v;oRD)(e(-*EDP zQ{cxsZxI~UtB~1w;pOMJb!lNEv;L|k+lFc;EaK^5zNc2Xn-5$+pef(5r-y~K*&!bH zF{#q*9??c+Bem+ow-jnPFAD<6XCSX|sozzOj$6Gj!uE_QmsONqZ(T&9=n6Z2**|5; zMwXt{IU^`OV+O*xGZ$a$Ho3IH0a?ND&dnN1yJXWObe-TQei0B?aF2$QT?1%%W2V%0 zctQe{SBt%0l_-Qg(|kq${|5}$A}_ZV%E#Q5+Sa##0$jKdHFJvgbgnc{WY-Q4Kt1=z zKXNfAa+z|2+P>s(pv|(t&NUGjS2K zHc_dVF&d+OfTX7b>Vpv8iBLW{PT7f)d~^CMwuDMV@=WN@|1jC`Icn=45u#8BVxb@H zDg@|6oKKWfXPtf$B!+Ljudq28$RhLMZ!&5cxe_>00K1#35=@7W>ldBwFyEeHHV7Ra zeh;pVby&|?MAlX6`=;!TwGkwYI`Aui>!0H;;*u+YGS+!-pLn7>4O^;e2u5rc6Rg!N z6WVoPlNefA^9HkPo}HWb-JOUz{uJ=UAB1R{7n8!?8|hL3qcO<4t&%&);(|baqZ%0y z`E5iFyL<(uhe3Bl3Kh4Y^r^7#m4i>0#9cu0OYr%$>y~}U*4+2O4ibI$c@*kS-}YQZ zv~B-gM19~AEg5!oRdpE^AKkhWr6}8%8PMK~7o^z)pMWB8j~a_{k*^)q*IE#R%RiHqBuFI zZu)DCx4F|YHw#sTc6xGO}ye_qf~<{EN?CH(SK#{SXpPeLCv$!hYk_ zc+VulKky~w*7Xl_;KXi+Z|ZG_#+Z5)<9zM+mP5xAh$nzcGuPxw8_5ZS6h&`tGIO$@ zJF`BE7?xbK#uV|{K6P?Q^;ymmFG!5G)1CTIw|0tf>@TuWLIsXm!gO-#l}|sEWmTIJ zm)DMZKg`LV@B4DQ`zm_oi$JH# z?R*#i@y-W?7#jM`e6p8i?bqVD?q&<+3w2(`6O0pu`A`pYH5}k#7c^R_(a%z2?IF6@ zZ8)!eew2Le7R%aG8k1`HtJ(lEpMVgCNbDn9$rYk)KPE)^l2cu`j6AXauFmpS*M#Lc zZVD`@zhXzHCaL1;SW0}%MlVn%tblkW=L08*9MR)WEPsMu^&u#DeY!ix9S~D2&sDu? z^l~xP`tXKBChG-olUJ_bQSReX|0&N~e&l6GV?HVrJGDh7OEG(uxh~8sLN7zYOsYLj zcZ+aQe)x{7P37S`V6oBG+U6YcxJbV$!Pj-0J#n;LUWJ&qz}&&cOUBJ5)ogYMslFrQ}0Nbje1E^5`$kOZ*z z0M=oYJjP6LW02{)n-J;VPWi$1&Pb1b4qGOW>rSTvN06~n0UwH`>(Soge&_oD35S`x z*tzZ2Ur5avEtRV7kuj!SvRy{~94dnH!iNcZfe~}Y2YtUhn#9LHjYsE!1AZ6O2c-F_ zPzJz>5(GjC(|*WO61!M@1H?dn-pv@cj!c~N#S6y@WK9k^pH4o6e5c++u=?>!KcEEs z%?qQ&DQ}b8b>7mL>z3kej(j(Yy4tc`zEu*c+$5$t+t4>iRCd;+`Eu)e4A#KW|J^f? zcqE^~_R4VEBElYemXFlMnKNtg0IxR%kqK5 zD6ppk%EeRs(@N>UQ4`M5C8@mR2AEk{A;lr<+K27mB+E;0)=}9}U@ljhlebPr;?(l7 zAb>)aHoq>joO{EL$Tp=O&M=lfh1v0>EN}SSU-hFs{olfq66~=x2FHYOZ-7&jGAfh> zJUG>)IC))~jtccU<+>he1N(n=y}!`}h@XODpuDTcK3AWj^HoHhc>Fp2XQ6~;mzaaC zh=C|9;$oCf3OL6p+|k1)Da97aj0uiIbwNoSYLqmDbssx80k@ooyZnCm?&Rnhr4)XUga8^>iwsD8pYxy>1L zmjWtZABzW)aLerHMVqgWWUK8b^oaoB^iLosk;8sYc)HrwnxpdE1(V-BOsI<;dF$FX z$!kr9t_0yBnN7%ycT*^yimQXlGAj15^gnGbY>2l5WwBSY;ap!#Ddz4L9u%J*8*WOM z1q;{Xy@!exF@SSO=_mGR1^IRDNj_gm60_FDl-l9pRKPlXhE*ePr-HREFf^Oyq35YS zpQB&B8XwQ~`u_8lNcrgrB$>yEh2pds%`bwxG!q%Brcn-?Rj(s z+==d%35c2uSPINFyI26`t*oG_jCz~i$nv$X~yQR<3@*Jm%M zs@CiaZHhLJA?7SaqlKw3oX<12HMJgF7!>`4J^2Z+A1T?t*3ZG2IhN-)4fAp-asSm0 z4XBVmPH7veO^0Ou{y5y~!i+JO3PYcN(k2}eN^5k+NUAf|T4(&I*xWta`T#DJSL(yn z(Yz(qUaZ2;Q}}J-&w#LIrT>bjJIH1-K8e1>@#dTs)eH2!ze4>b1)fyH(0&v!4)lvx zk)nGA+=Iz2%e|+MgJN*iDj%wS^285D(c8k?pfsa>csh7iTB(ej@EXA>ySrQ3>$XOS z`XrFgW1FuRy0lAm3_Cg#yf9u8C|ld47Sxq>H!`yvXbUwSg7gGV*727LWau&{7U^O( z;I;dadK{#*x*T{dDzkdn= zKI0DCqr4t+6n|n9tOql5Mhtabfko$zra|Ij-jtq@yMJ%j4N{=-IkXzcxw5ay?UvdkI{e7RL6m2DyH&}rcs3M8$HCM8cvZ9wO)Y-VOJ@z zC=G|Lb1el@fsUG9GY-$Khv`)5L>HR|Mn*q?odp#U_Y_%acGC=gpxn zsXjWtYq;Z{QKbGkD0?(yRdrokyTF3OzftrZ>(+&08AQ4`yG2{;u+PaH0X9@Eu*&W4 z50aHx9mud~B(*&WK%2)3Yi*SauF06?K4oj~Rk3hN7Py-qZE&>*sH=<1?GkKJA@?I1 zKvMV%0J3ypK6>^IzzoC@5L$d6__#HiheUWc<-$X}e-yY`d6LW}jD{Q)S*3qucq;7V z2OUvIo+~)4@jV*%eQU^0u*OH~5A^!uG<@Eg+BGhEueam*?1@6ZkkBb1{%{NH^E736 z>+gxTr@y7PxjcTix*A4z%^B=_^A@N!Kj0|QjS)xUKjSvX?{07@P-ZGDD%%?)=natn zC@Aog{Ds_bxGl|XS@(t!P7jqGf6-K0O+*~$d1o*CiUBYN50ieBJ6q2NR1~evi;sFW z#E=}lM|b)~sb31>nBNiO^k5Z?rg7;>ous*4ELrdpvyq*d_a~1%HYI9ZThI;ii9-8W zrNsLR!+E9;EaC8mgWX8Cr&nZT;Qzpn2Sw;wo54?*>@L11W#A(>&V0F-Uv195h@d1Z zJ9ePj1T(x1xm_5__Vc)M@u{H%XEYdSjmE5?MLfMYp%7QU?(fyKv`qX$IeyC5D3-^r zradN}_t9~?kC#tDN7^D*>ej2=2SWkO<~8S_X{I@KiDwDg@^0)Qcvmn6+%^Dq(Tt3; z#>thl`TTfCW1u&L|9@l5cIU#TDi@7wy^1A3nd{eVCRo)%?WMoC^g_b6O;UBDlvYnw z%Qn5zWUqe-N%(t!(zuM#cVd~aORa6ioy{S-*-835KZ%^BJN2r$@E_)zJYB^nD7OTs zwzhc~EA;`YW{30%duorYy@t^$rsa!X(pJ$_*`0BbSLEYpKzq>%q45!RNCO?-$L2vY ze1-3+C0w~_!P-|5)R9s2Ckk~eCj;}6TTpQ@TVHRkE1g)zTwRjVzR85;p27DCR(NAT z2ADzbd0jGxk*WQ=IBDa`a^z^J+_sq8r{?8q>JolY z2U+5pcS*(g46S&iM|YB?o6(c@(P8=AwA!a4T^ty688(4%A0aNev;UhTY~MZ(n4Rx-wO5}A_!plT1d8PO zH%Ki0%I%*#_oL718GrU^8kPQwuo=yyg>K{@b{1ef|LglO1At=We*%hX|B`zjeP)?7 z(f$t@^#3Lx$p@`~4XXUd2LFD`_rSj*g`U{s|A)&OZcR?2L(6b)+YVEpx#vK)jzfv> z=}8yaLx)=g@89HSL&m+T zo0oo+_x{&g{qeuj;8PFH?{U(KGHailH?JQ5L)QKenEAK5`ajj%4*>Nx>woO-|E=D} z{o@3dm;IYN1y0dF2h05p;P(D+Z$kHf(BP$9?5Nk^0Y)5`=cWGvoF|iTUO6rp;t20Km1Rz4iMbEzLQ}$Hf&1)J6=AjoW~F z;Q3(}1)$wBS@`{hhMpeQ1A~A5=TboV5gFO~9gmri)9A5$BF`@XcJ50ROC22i2pI2- zOK$+A8Ze`*Y?r_~Cnn;6KjbnWAhnxs?w_hKmrwj(7&&l?kIrI9{>I3+%>t%oW>lKJ z+=2GHX{mRU$BAaS33_a7ENZHRl+-%gbAcaY|CYZmVUIStBh7u9ffc-8>5m`JP!O}T zC#^u@B03HZ-{f3xFD5%Xds8We&-nvcSy`*G{F8ENAG&|e&x1EcMpP*H`1l@+z!unf z0$l*Q`#yS2QS{<5Jw1I?_O940l9+%%3Q&rd0)fv!LkRWG;Byqc;=TTFAXQB9{rks2 zUd3pxlHYwGO`YRv-!5P*|8sB5Sa!9YEd2r$@z*5yu;Mie!qiG0GZ|Co7-d!wC%G-&Acf7TIiyXEK zwNXW7##|PI30#$wp7!YtMA%yoSCXjwAG&dYI~*Gln4SxzxyZu0$w-rx{O^KUY+&DpFxmd??ZKYzg$;g(Sbv(A$p4vE^ z^0-9RzxCno^7bC9;v}=Wd{{cQPi!5bOUEFLUn5@aT%;e1ORVa)1_9y8lJMG!ZA<&B z^WH@?HH6z8c@Xm7hE+;$jWT@9cmr{zz%lm2CWI~Si3Zs6W4V%X81Q3}JgVkIFoM&v zo?u8Ye{_|d6I0d}SGGalb=zN0PI+gaa^+xePhJ<^sw{mF({Rmc`e^YirI{1_MVY*k z@I*|v7w;`q%)#;6qua!$upFNj)CeH>0PY&N=4dvXN(!!=c`R_jL1_rL9C1MjF;~dc z&T_PmICu_>#By1WyJ>q*VOd)<59rtS{n@932rbx!L-ro0bd8MkFPP(grBG^gV?_Zz zn0-g4702OPO=d3vKQXrgDwvX43tgg@?Smd-u)Qnt(a}0e@|2c& zcGH;y#SGeKZ`2D}OfsW<;1SXDzHeVXH#-(?lu@q~HVcDEY^{8!h zCB-!2wD}3Hy}VF~j13)(Nc;GUm?y4sSx6f8Y1j=N{v};f&F1RtJ$Ukwiz*hn=iO_& zw(4Z+KdYLqm#87|B+B0X_mbzBFL23*I;9oiqJ3@HGc7kCRoNowM4+SApkQ!gWT^S2 z2(x5=L{{Xum~*<#NPfaumC#N~`Ipif!~{mn(L#vQ{8Ea$zNZ)R!IioFs`Q$7(Q@Mh zReKGwuJb5sT)M4IOk=Z-vA8I-bc*}i(XmYR*Mm?i`GSl}Wyrb=%686mYg9wTJYk7Rm9jJ87!h0< z4D_ZTw+jN*@EJK}FXeI0@r%Mu{%qzLVpYjs%Fmp+gXFo#U+$c(xwhVMoxn7Cx(TsP z3Y)`}^Bz|^>FeK;yr!jn5+f61EDYS3fgoV5I!9WdpqAlzwzq%d3+wl-Kk_(OcuPu3 z>UOyF1c=JXHkF-?y8-$r_ht}505lrTl7)QwM90Gu4ajGQ%8aFenT&V+0Eru3qFF`- zxQThseW#|T61bSPR%m66PnNNi;iUAINbQxZp7bpQN#=`4S35q!F2_mDJ|=Z)%VjGr z@su=+LDB+r?qCwJug-TQC?9N)l>O^(TBl7j(aty9C)$ZzSuVHNiW4QLzGrE2xDXve z(6O$YLEE3$bJS+-gM-8SIl;lh9p}dD`ZhW+S^De68!43QMguY-zAg1in_U~tgI+8) zXp_u_%5pQQo-c8CsYslqdira>Ef1$%=~ul9XzAk?8!8p?E&TNR{+vr^yJlP<`ZP4{T}8B$@ywb9D9MOK_Ox0*XPek1uOlI@Q7dF z;n{L1T%9&?`r0ad3?q(-2f1=ttDDa+1JQh8FyGhSS7E~fe8SgtLr6+i-G^$a=$ZOL zK)!|ipGFzOxpK@8G?}-^8J*=M&@F00AZXLoe(Rg;4rv)7Cz{K-N+e&OgppZzx+wt* zssgp)xWR`J{jy<(3kXtj$P$aFX5goziI8%{i+J8ke3}=-3dDBFQTPXsUt8{)d{FGY zeLeezSS^-8DC}(_eCj+H^t;i=w?JBq0+ zry`0n8;jM^{Z89(Jl6D)w3AVna#ox5nrubx!c_A&8TVPgY_ zeX^Lb&sHGz;EIw|yF9Q$$C)6itgiZ(1VL|b@;%U_CX4W?45SG}6Y=zMUk!r@% ziFfH*K9okCGv zuZEPluc5wJetBUwStBp&yk{>^}DS%Oh49Up)*DY zHNyS+fH8t%t9qCXES40XtJ#T_93+{+X$4k?HpoKENqnrd9(q^I5MrflB^Y&E|0OCWvb5GDBm4hx z_SR8xJnP>eBq0O{kl;>mg1bv_hd^){+}&Lgg1b9|ySo$I1_pNt?(V+*{k`wKd+&R8 z&)Ku*%pcP|)m`1y(^XGB^^uiNb1}zKXGlA%(G)PE#GR4K3_Z?ga{#$0ibvzMug_Z+ zo)ksvo6U^cMZt zr!pRghz+>o`~4*-Op(sAik85D?RY*2H{PVBk=K(J^G3C$JVRE-XT8ZP+Eu5Bf#-AeaSFBG92wm>QW_Bz85X(Q?#?Ndx2 zO~xCJeC!OK+n@MVx5YMloh+gm>*5A&ck~J8ZH?DlNv&qAeFBv%G$V|OA*Qm>o{E*L z)}B_9L9}jUY^W$C0PD4!?cE6TnHE~#SMQI0tft;g=x&)W&nRGFj-$MYO}HFGx6i8iu>LR87sIvBt3B{d<+fi`=fM|ged zmoBK&(}$$_`16SSUPW$P%A3W;NosQtP1dc6IE&(xbf8B!W0GxlfI$R?OqSy)&Sp$s zTa(N$9iiAp4v+(YCBE>sC1EP*-tJtK5Hpfz{xxDZF`?*}`v{RFB*B(%EZNG#mEu_b zlVY6dn`no1G_>ZAhZTguOAS9NW4~5c_t%Uj_0s8zJnaxJawS#5>T%`~Gmp$=MMicN z*t)VINVVZS@ux!c{q~{4cIljim$7|P?G;Nn`gEBIp^7bv6speP0N)*N`aLC>IC;i= z`J{rUxE}9vpQxQYio%+f0V^feQ%l#e6@!Zf8{ zl;0vE(7Hq6Y86v2ms#b>Bn1rxI*>3s%aq6OvY?9UY#K;eJVL;5-|f`R3DH6XRixS7mvQGG)qy z{gifW;UE)&Mp0E$(>*XiReFJkj~~|ADVV|Q%7J5gwKqW^;FSzmz#ckN<4yUxj9CJ1 zOMtw~bcIgZ&S;wB`G(l9U%zSu*6PgB0g5g_7ah`j8j7Q;1;B7o3CpfzoFbrtH^tcU z`|k=fc|$~vf40THL~~zNr$qWyvY2vZt4Gw-YFiFHDzoZG}5je?J)rPh3RrT-v zEjpHQHiQ@!8oV>vY&mVM3}`N|=7*BR4SfK_tUGS1`^kQ}pY-?j%${6cTEuTmaw z2|xMm`Xf4dq`F)qbx_dTshbQXUBV>4yTwDQoeNQoN?8o)^Z71ZJ6B0J+;TV3*N$OM zcA4+9{H+qk?v*XrxW0C91WB)g@_8Luuz<}pYMdm zD-LcCh9*#~+@{OhJzUpH#$yeJ#*cAVCb&7pftxuF;&rqosK$< zVaiS$qNy0%8bnN@?9shlOL?&B9!&JM)`^XDY#!t_jAZVqtPGx^(0>JM zV5<4m`SJetnpiagzM@?Z$Hhj={;|BR_Y`=Ex5yGC-OsPeG9}P*{8GAsxcI2)WcDty za%Bz#sO+I_r>Yp9)pKn~k;`OU_#A#0%delAn&un)oOGc<0V zyo0{*@#s{2HRD;w()&ukXZuivoSOt;?Z;eAw*i^q`R#eGl7BjQUCYGQzyxZ}gE^P< znrJE?$HF?-kwn>VoFoPy#m&DKtMAq_TL}F29RM39;ym*1yH2`u^hdzr_`fS*Vs5PJ9}eDahoBjgGkEEO0`*hlK#ed5FN${ z4jB?Btw6R3`a(|eOZ3zis5b?O~gS-*Ub&7shR^()fIDHZ9E zsqG}6ySwMb-TDs}7AM^+VmQIBsS*Al^+l2%nB!LOQ9zi<;rSew<3vkrK{`-3j~oqw zj0$CaV}bU`@o(}uOEe&SOKOg5!FQo?@VnLY<%L?>H~Gi6CKt&%VFu&D6B%XQJ8b79 z0)yEYt-LnXb8h0N^ye3al*R6|Ct1TE9$OM6Ol12ntQlu{de#&Q+xcrqg%`5|>T$YZ zaZl3e;q&jN&G)HSoPwr?tmtEwH1`AWN8*CHtnaxFKvO3ui$UwTyWFS>zUF<|rIPt* z@7YV!F)3pt&xUO!y1Zu1*zgR{e#~#85B@B@z0)mM>L2|LI|jVs_tXT=fhU@`pHW5Z zX|%rtsoUvaewMEg$U@&ypNGS?RqK9Jd&-Cw^84oUVbk;MjjQ|v9_RV1Ff6v|%W`$% zgvjFoq<%<7I-YtMn3!LkSPKbtVbJbe%kKgqn(_D_B0BXm)+i!lwU@T`_NuzNERXuo zyA>WW;itDYD|}MB^41Zl@G!;xNNCL|pzR;e+MXFQ8Hn3Bb8TYq(IZmNGQN8yy#j)0 zNVL;2`qUl!Q8SQo_0cu|l2cLgds)tIDFd)>8u-IX_W8kwV{hpVv%8j<7B^Bw&8#C< z!myAu#RyP@MqK0<@BEGEMB&NF&v_>rk(A7109PZS?K>>_&Q2b`M-F=Ci>MaJf%Cb4 zEIj&q&Mw1PNm)nULm5MA9or-kzmV!5xZ-+DToV2H2t4VZzBfvH(`#IiM+6O@DU_fw z-MUYoqq?t7EE$Oc*OliffJSt=)Q@a;(RHNJ_ItBx^ZVTav@c$gyzU_z-Ieif^D!xE zb+_P*oHB&1{yi%1%2ynlhDAjI)ZA;@@t@H8HHrY){_*Fz;_3^o>)CXp*`aUkt^rY9 z^+ovl?}w?_xPHG0a3sn`$HnW)^$UWbrjL&=*U3c5<=H&lOu~GjJ|p3j*WFFif9)Av zA_OStEs>`o&C*>9&)k(lBwLZ$B0-ZCI=q0OfdXJS8$D!HrqhZAko|;(h5t#G`o7## z!N8-KRgQ8y?tCwlC(HmR4d9IU0)QD051z-{(?TKt_Zo45K*ki>;r;lJpaMWx$7TfS z*;Z;XYt@<{)2fz@Bk%%7gK$U|jQ#(-wADF2rMl-EeG47ltsxF^au()rew0$TI|W19 z=Q0NR#n`(l!!8+Bd&}^CTRrfSozDD+tnTYMl7#7!_q#AdzDJ@v2R};;QLTJ5g(1PK z(FUpdB^(^He{g?VCBkRNL{N@z-rhw*~K1u<09Y%TO92e?2*G}DRv7uj1<(kP_ zB+O4DSq|7U&sc~v8e)PpWn?ZnG5>qe|oH!BOaO0>qILVr@H z2!XQ_&1c{AzI+KJw710Q=Siq0kqsD`v*^y6JW5E<&z<2U3>r&lw#8oMUKopOn`Or_x%7IgE&-z^as%Exh`H0+;*$w-&mD2b~v76VG;P^Wu4AlqYcy!i$ z?$a{=C4*lgqLqp)HEOm4dNDu--at7 z^-L@*<84gG!s3;2n#PF=zii$XQz~kKltx?u8l=T{>@Y03;I(RaIc>g4h;-#~mO$PE z{3q^pDx>?OD%^SeLQJF&htv2GF`hCtlLm%D4qmY!HwP~?=~7p)t8D>W;g22f<7wL4 z`Xp)2ir+F5!bh1#ZXU5;d-L18)W*HreeNrwqf2ygBcx|h42kdOkTu;}$MbV|eb()t zjvT>7dCDf7jFub9hc#8zdhx~4BJ-XUuPhbcg zS6O?-v;{kDhi-QUE$pknxqH0$^BO+K$1ib1IP4Y}fQ7*1BV=YK;m@BxWovVQ*OF^^ z@e>toC6z+v77%=Tz1;6==!1P3^1pxEe){^~%lq ztfM7D#N$$>``;cjEdvQLBR&tm(W7l@JhqWk#>dlG#)-rIL`jOk-DF8}9^c0~Ywh|7 zk;kYFM;_0+{eY>YyUQnr2b9yXTknBGg0*T>UYoU#TisuuBjO^2GE#!ldBpPHcTcfi z&Q&EN^&DCTm8dwoiuwmq6u!a5!Hp_x$8?Ok-?S>vb3{SnPW~nOka(K9_|46Pp#1{! zlxxPa`3~r}c_=bSFX6vCt$$$wte;z+T=Qt)4n#LQ%Q{lE5dx7U9}-uORsy;PqjPaV4r(KYU&Dm)Ae1BoQ%_DtU=UO%CQkhf~rbm!?61(RpF4`d8rs?xMn z;)YmiFml{zeUlA#32u#3gH82b%anVI6-!X~O8V7^)yXzaI{*Etb!_AE5=eLWs&Z0z55j}ND14Q<8+^ZP2IRQy24wx$O7`%Iv>1LZ0LBe z1@@I9{90f*8wB6=%k>r!8+5G=v0|w081#(d$fbgOs4ut;uT*i5R;$g+|1Gxp{WozV zjL(LY#u-%4LqF2z7zT304AE|g2G7$^hsV9;Xku_=8$?OnD<3t%>}#8#*|7R&tWShF zou7WRSB$!C-1_mFB3GvABc?)5b>!6&vPbCYYlCWkCZYFOV8Uft?4-}-@A~6>O7Ju7 z;B*CfQTuPl^?0V;tlr$5rpYoGs#fj~Zm|fQo>TmA9WxTYExya>l*-PjkX>UX`OFWa+NZJKZi8Wus$CPp_^rRZ@8c+J1y(Py*moJqIsxeoF$E?mt- zAtFJ-4d-1PW$m zTVkcfJSl!FtFna#IbZwKvomasuy5@Lm7S53O^W;%yRM{k5Ux@b%hk*<6x=>(1 zsd@3%Ja?ej5LsF`&VShkP@Zu0Jf*v=E3cvQa597h!IaEI#fPoP2;MKw=U>Q@XetjNyLr7A^|x=3tlf*(YS0>0f?VcN_9cc@ zbOD+1Ahu)vb7QFW#eEphcAUo{$H6=oBovcf`XLS3QYLKf#BvS=^k+fFcQNs%X9*LEh6;UwY?ClRF$MaD{xK~^{TrOaK9{L#G1vr%A7?7caHhSi`5G>C@{%19|)?s zM}&uOZ4JfMnNI~0@q6rfHR$)e|A&7E1{3SFy5#>Tl>Z0GTxYumI^`oFA$Hw^whn&q z4x}U_)c7gf)`FE&=jY<4(7&nI&ZT6Ey|qmf<8cu@78;FvTi3&wCqE`hq@}N#OSJF$ z^j*-W2wm5}B#?5JOKbaR`HGhc6+D4pIh`X=k3T(Vr8wH*vBIy@{2J&D((;=5y*G$6 z2A*6gRV`NjL|B}*%7bi4nl!>)_xgNW?V)Dlf;C8vMkIFFLEV;qc(7e0D0{Z;HD5PJ z1G}F>pM=;P-t#j%FR#?R@g*MgM05GNF)~>p``Ff|cyU&;6$H38v3~bBPz_hkT)Y>T zdVk{}gE%?%^M^-Ev>k2hQ9R@3^2FHC@LUtiKJ$664kGz}%r@#yZ+=2a_qEl0d4K)hQkK6H%qeSSJ&9ZhlWO9g z*UMGey@36JbZO(inlAg4XhqaFey9c z2z$h~G4(c48;6Yw?K>+{52vv{-0!vIE2EDHsy8;tAQ9zfe)b7|h3hO^>FyGY+WTE^ zGZRiJcW{^>7eku4-0^%9up?kQk^G2C2XRw8nJ3U`56AH%aX;F0-~s5u+<^2Pj8c(M{KmOJ*1bk25O zgpzfEgFAJQi47N5@>s{s*{@()$P=t2IM-=I9tjtX$sqC&!K%@d56d*g;bD#@F!rP> zG6@zCi_84EEa!Ssy{z)+x#<6wU~@5o;Fro{r4*l6`ry~v8k!22eT7W(krl|d`@wCV zFs^6(-3Fq*(;}Pg8mlRqcs4s-$E!hwJ*^vediCy%7yN#M0=C^edbsy;qcf@jvZU+w;WnEaBWvwP*RX zHEpGVj}MP;07`aw6kqQ=1>UKZMq6S)@Z{=bC5=?f$@3#Hzkvc!jfDnl{Ha0()1&$7 zf2^Ri8f_*@RA><~sJ}@{e(-%dhi`Q`{>N&a=drOMKmYuxd41Ljz*ErC$+p28XwvNa za57aYMs2k(I9iQb&PWgvOFXPBc_`-HBk8dleLM$<+nK{Y%`BzL$bMJwLS~bbRY!v9 z)3sER>TG0>$p_BS)bV-kESxuMZbUb~cJ*5rTcs0XeaJkNT7{6u2zXJy3BdD~%$5w6 zh;{C`RoJ#R_AT_qs5*C2&^y-im||1WsL~D;%(Praji}Jb4Nfr$XSR8ZEuiK{j}&d0 zK&yGPok|Z9*r!hhGd`7JIt(|>@AnlSSws!X_Upnzi*(sMDSG3C^au0NhB51MljGRe zR40#**Nz{9`8kPd^JT1$lnZccDx{>yZhi@(fYo*vhL1=#QFN!t`FS$$EN`zi$l-%x z2?#=gMamE^I}nxpWP4#A-vo&FzLleo4$RKk`9yM<{KmWUTU<8f!5L=UmV`cKp^`p! z>;A>kW~T?P|?B z$Kne^jw0pIb}jKw8BP}$>F96u;eMlFhOJyv*Vtd`Ar(pg%0J+^01SH20^;wcMpZe- zM%}ueB;m+m217}L2YvW0uT);Z-_~@A*`O!qO5pXChMYV+`qPTyTP!S^{s?^WsRFS5 z-ncys0pW46TI2g#hk43f6#yHv_0&A_UeIzr3uUt(dHX4V_8lDD+eM;t4r|SgO~-_3 zWilWtof`bm5}(W$cH z(SjEj>{8rSB$l8uNGl&&Kxp_E^m2~$%)p0rYoq)U!28ozwW`bsnN8}v2)wtpL_T{% zt$F=3+-b6s2#T1LR2)Fb{rQ@8imjzRZkkQ0V(r_tMn;*nEesvrtOy~#L`mnm`!9~S zo`y3omKzNxCN-4ygBM+J4 zAZgcSN0mGAW)`Cy6zZFZze)*T$6xW5^ZA>2V5*ok)#sbQ&pIp&z7exc?)U`q}4Ff0|hB zzN8Gl1DZ2$cP`L#ko3)*l1zXi;_>r&)1ro+ZT6pT?Xf?Ls}MnZeEb01h&G)wZ@fMa z@E0D{i(Ua>K}@)zC4#i@S6!M@632HEj)H+O7sZE0DYr@@sk<9Pb+xbZT|dj+xx85q zwv>%jX_Qwh$OS)=@z=s%o_FhDXz?Xq6>*WiHvjgXD&cCVko!yP*%Dax95=Z{wZUBv z9}~o&uT@A_A+mH~v`?f&lwvZ^^bG(j>^1H%0&)WVYAWsL-Z*1{ah$lbIW*F&+~&pYBi$F7>JHQ<~?8OD}^+M@j&Dna;E3ZK?E=!g|vIlvN|7lp~c1St#$I| z%U~Bu{dkTMeN{ckCM}0x?B4IbRQB2 zAcERO-Pju_)-h2fBBm0R+H_2IG)@rDJUINZ5ugEKLNJPS`NU3i5ZoiM@`x5cz7Lf5 zm9;czpOs4= zCk?h_K@%GiW}eI)05(-yxjc7ax;mF>vO2dYe-c<9N671=?mwv+FaWHSsL|HK$uyxq zBu;!Sm~1Vf0?<|mJ962jqTecK%Iqx9vDJ!ttQCvL+XFURQeH!o#^wU4ifzvthf z*p6iuo@hdlo14@11dku*D*AYFI?d6@)FRixqrSN{O6S*q8mLteUFfFArq*6Z1P*+3 zz#&To)us#bXq#xot8J9dnsbIdb@fJD-3Pj9Ql@`Mu68BFEj*h#_FSw=de^fLdy4)|?gy*G>X%b-l*{S;>hXfm2mt{CP@W z=NMM?Zh8ZF95v@oHH1hS->{WGIIF6Udd%Q3)nEgwk~ylS+@9S*a6gjJE|eSJTn!W- zzgz7XDDr6u<7y8Z5uEX<+>Ba5Fy3C^eJ4Tj*DC+7FDC!KrV6j?;biWIhoh!H@mSkt zI+UJTxofrpCR5vwz%06VNLpyg;pD0aL_W}5MhjilpJ{H@Ccb{b=hIEgdR4loyrC~y zzjsXlU#%FfkuKN*P|!A8~upa}Cg+eZfxVb;s z&bQ{QwA&V`JJaRt#*1+>mdEEVzgOvt-f~iTE3MTBF72Enpj^y!_Nx9N5F_P|X6w%L99Oq9yH`75rOH|R& znGg-t#CvU^j^`4ilE>&@p*l_jKtB4wh&1f-C3p0r;7psM{P!ZeVMBj4O5ESY3;3E_}F zsDX{+t%m`qg*T5}u5J91 zV(H(g(7QSlQtTY~1$a_(z9Nyg^{v=X8aKz&WorY3nFF_}DH;SJs)3`6zqKde& zFvg(R#76D3b&QA7bD@ihs!3qciQU^$S##xBRf^i(#FIW2#20H|g(wdLK+lCn3sme^pT|$98K|$% z8#&Egor8~^P~0EIS^murulQ+2ZK?A?%Am^{)Z(@s<5Mm7(Zkioi_|1<$!&JV$MIoH z&~-IUCGp7rl({Vj$`C8LkB$iB{i_VCI8g9D`k#Wj&uHxU;+b z(6an5#ckp{EgPz?qMiA<;bU?fxprHuT^F=)n(A;%ULBD{-15L{huw>Tc!W6hJ1(q z35f$YY0n+=UybqUg6}`>RPRmdviu(^@&CS^qW`)%91gmFHH_XHgD%QVwEt*3;Y_Ok zcnY%L$UHz1(*K{&cJTjD`F~t16D%@NpCMYp9G|p#an1Ap3dMLQhrO@L;|bdCTGLNk+waQAH11K0as<^DQ z6#7Z04lWmzIVS?1yN+x+{NZ(XL@o9ciGOt(4%-&Z?#h`lfs)qjGq> zSs~b5ZgqrJP~h|j^Shk|8}wP$+$04!9WDwCIJ#k$_vcC|ygEPV=9lQeJ!Y>k-8xW_ z(FD$~p`bmFME-+spLezmb1tPE)Jc~_^^||=+7x}Rc{@3Ejgq9U`M1H8LXnmOz3~*# zVz&uSNT8@Si71>&N-=g^XCdoM>pk{MAK8)rd!If+dH1<5Z0=2#0(gv0mqX?>8Hj_K z-Oji+jsAQP?#`SlIE2B1rc2gKZ#(dE^C&0MyqDjTSTU)uu2Ql;tPzx2Vd1 z$S9~!ZuY?wS@a&bzUun=IDfI3>+W+EEq(D!AhhFlp~OQ z-f^z3tNGiXuLVhK`VH^;YYoS?e|U)Pxg-X3hx$x)3GK**!LW1I-}?=#T&#n@%F3NI z1~T5i0=qlCjzaf*dzO`kb_JdCl&5H@=@R(b9FpGt;6U>^9lgzXlh0?yao~$Vvm2mH zv%WtH|HSXf3rrJgBdZ;q^ZMo^-Dcm#sHg(JXG7Bf``Gf2%r@CSQl zXs>tvz2#btkzbMwCp!2`c1B~kxq%^#dq^TOy2`n9%v)}ujXUx6k+?=U;JbuqwA0=v zgftEz@xY18GX^?3m5-_8Q7xkfMj!b5;GWIs?5Z*TVRWA{_`z3bV@)FD**Q)A9^=WAiUr=Y zeNQ2+QH1cbacJ2GaFIgE#bTAdNT$GOM@Sj~l-=8t>!pY)!4Lmw;F3WUd4%1OgH800lAnj8&+sm6cp}nH z-T0f*d1w}LC%@FfO5UCDUB@V;TaOfADwk{itlsn?VQ>LoOr)k zXSs$H&@4<i0duCzSk~Q!fKBKOt`FpR1^_9nYVRc)z}OhNIdBT9_QeiG%%`rh zVmbE(lRFH(S5A;N6s+Tw%onZXcp_crY7m?)PyJMHf%LWUBnzesZ8G_^- znXst7S!2aw5}+NPdcwI-XU?rss;sw+D)<>#KD#?7<8m^C-=<}QR9h`Jo<=lpT-Ox$ zwl&9T)Ot9os^4GapWmY9*>)=O3~9=0?YXU$*bC6o)T;41B~`|fo`vW@;~o`?=W;k? zT#F>HlCXtQRK4ebuQZmnkSGClUB5uy(DtJtkIHxfU?bxi!!#s|X0q1h37W zP9XR`{YA(skEdI!_6raHXcCd4U|~ViF5zT&otaLm*JzTBnKhy?f=LawOPMtXQ#S3`QGHTbdl2oOf zVAj~6-rAirAPzKTH#m2-!2DB8PJGwx1XW+Ph0R6qS@hz3v$s+wOk<%&{rV(Al!ik8 z(!}4s3?5Z{rVRHyjU$HWlV6)Ub6Jb4M53Tzwd3xaEQ=+qG!hX>0sCJ~3A8bbiv|n1 z@E4?F!6{5#X8XRxacbd($^mF)cjoK}_90hy6|^!wX$pn!`B&ZeF==(;J6(xQpp~76 zzXg5tmirY&fH`}&{R%A3hIAJssyMVVVdn0pQ*VK3zM4aFym++* z7NLUSay>!ge3qYVRWRKd)39M$Mb=$OtFN!eJmjETKkbaHHtQ-Wvy-5Lr<8pHfRntR zQe^03?rAama_z-lj(CzJ2I~2#NU-1TJK2!rw{q+p#Cmi0*E6n*XY8-o(WoWY<;6!O zY|*ios1+EG^m{FoAo)K353=2>$#wV5+Xq*}en{W@O`Xn@!pl~mS}l&szkj>PAQ_Es z{2p(K9bP+Z!tN_FIzQp!$|c$OPnfZZkA^+_$>+UWrt(U^*{0h+GL9Y@nk(gJ#&^k; zlA7TLSr|shJtm4WXvECdAy9DX~$@=eXn6Ge(-v*lU?0Gk+aH!knuT57Z{1n4_g$4g11VxfOePR7)9z54)P zuK8A1#_DR~MwKF9A&{JkeBJXvQ&k-h`FRoWQMUL_G2r&!cx9AkcGkHYQmTFm6T&zQ zu&Aaq&FsBZcw*4>)kg+F524%*IAG*Wq82r<;87#)91las!Rm?Id&i@EK8bLuTuu%D zoRZ*@UgU*D!2}bQuqt*p{nf$)Wo)?i;?QgDg-~$Qla}0 z08RK-B=9+UlbK%77NSl_3{f%)(me z$QE9T%SVWck6rzd#RBM0+|wx-!YHG?_TQ5{JB)#=*{v^d|G6ihb}M<^tb5P+(I`Qb z0U&pz-{S*8jFTjf|N7(28h#)xe)I8IJG^XKWB4pR9;;*bZF2^Jf5}Xxuz@gIl00Y( zF)T8?>-HBTJD#eqerdGu zQH=n|5De*U@t9bIpGRjdJEkqv0Xg?RX)GbiIQs#{-RvU?)XcmA>}Tgd;==rV*afJ% zA+2g9!B>Q#WqxlmS~?PzNO*z9ud7+YfZDZxroG3gP)2_*fSEK9A*;T%d;fQK4O?Tu zBzEjRbhFqfJn_678&(&gRy(XAPq z%JhWt?k`B{t0x3^)MTVgE$qsXZbt$6@@wZZ2-)6 z`Fg}1FLo$7CA&;JGjFqHJI?6{LrDe+LK{C5Mp|7%t`GHzl|Otro+2_IkpM|PqL}UI zymPi%ejN!d)$;;tZ_h;kfggLB+Inh{9#9Ylj)e0H%77G755j}CE7fu zIOeTJM`dtrR0|Rc(_u8@*ZoCqTBre9h=NpZRyiE&ONab(0DKXLC$WexKpBzES>=ux zZFT$n%bz&ze32ma@z(#VX5ATYM$bz7r{@P(S-C=qd)%f}j8 z)#!PNbu-Z8OW*q-{X-Q1rLH*;_zLN0m$Zi)G(X~CXCsMM+u+9357 zAlZq_Rs?^ET?Vm7DHSEvpDjC2=W~zb_e6O)bm|;~jKYO9bDN_&zrNNO18gMrf^=^9~h(-|#L?>kJH3*1^KAknV z^Zsy1KC@r(ZEYFp=;@0<<)l81@-d%Y{j@k0CYyg~D4``Te;uQAK1*Yq zVYCFZt1wYu^!cLm>sA-*a@$AfobOk#p@8@kTRcTvBKl{d;#+qoqmNj#i5>~l!kLS^ z8bXbnYia_&O_@Z( zf!=|B$IDO`Q9oerS*;|NTyrM@s7P@e8dJJWAM1c1cCd>*qPvO ze&mVAmI{JXU$GO^U~B;~1AY%t;a@My5hp9H=$}6e0Z81v#d=ym{IO?X0G^eVH5B9P zFYOn52{o;G^;nEb-On=8lHJ`0D}ndrtsN;LT7@}v%GJO-lL4KT*N*5G9s=N88oq`| z;M=EP-~qbLG0e?T-cXs@24O84CoOAwjKxl4uh5tAnj%r_ku%p;FX|1mo|>EbJ&mcf z_Kq&u`AWhI^b~i<#-`8j0V>v7XBEo&GD$u4kKPUGBwtlt+xm@6O+~cJeEN6=7+@{a zTo3tin2O-Pel0H3t_Gdfwz{6+6S&+mf3>2MjF6c`QjnAEexhINTrR2WFfvUOx$mXY zyNujsb+WSsOfNNRrq3ji{TMsUgon`jl9{K@zR&r}Sd`0^KGZ+@@d!P(P9Ln`P1E7e zbsda|_gXDQJ#4R0@at6mdSsqoT=;}vDhQ<&V0g(GG5I%`+-4!3Q4J5q)m2SABC}gf z*L8O|0UwYJNzUZweR=GCm1*FZZQ|nHc41i^Tb3NnXlS16v3X zW68yG=*GGpQGcH<4XQE!f#&;4DCfnOmly5z#D%5n8&M;MM6RkjxV&7I!KK)$_nm;sl!MrA`V$s~ZF$cthm!CI7Ky_$h+ZSAwn!$j%-yVYd z92Ms-I~51VB1!f6`2%AECatQ`>1sQmWb+dUqc%2kGr)h3jv#qbac0X+)kBjMF_O`e z&RSx5N+DhMj%Xq8u6aMECk+`x4%i7(wEK7YJB$v-QXqQ*n4OoLUzMj5_B~C|U%0~E zpG{+M(j<>no%aPjnZ8PW)xNu2)`Gq=fGAlDZ-|P2qE51EQR8DV{y7U=)Q?f&&j7Tu z>A2USe?06p2IjSB)W;imCLt`dHbL6s>Mrs6 zuo0aw<5FfR3zomhGQywJVwG#Yz^(s@wO^W#vGEn2nRidGaSWn6;X zt*ypusn0?>mwTjYd8@-lFL!KQ94wdD9l87%ifk%Ztn=Y&RqXz&$l`_jaZ8dkvd_xu z&9eE6+>c>3TA4ZVc1J$SyAzRq7h-4;_geLS(@iVRU;M#T?!$YV{_nBqae{PYm3fM% zkCg6Hj%>T9OS3bb_C~J=3>ib2WbWrzm^YbA;!u5^yX;q^jLkW^rvzsij&qH$mT)j< zsuzk&nQl&N)l$&bz_>Se;gcELsf(_vdhuS(4liN?J!HoRDFk7n(u`QECJ3GOMzO>k za}jdjpWlv5rMlHN*5&E0A;TZ`lF75QgN@I4>=l;B{){EO*4d-ci5J_sjD6_t*Cj1P_`f+ z_x8e0g(umGg!psDLzg;DO9HR$k~t#dOF4smj3a%wrkl-_l%!g72~jdUo+-_Ry0&y% z--RX0NzS*w>Qd?6y>7nBZL>4TFKyVGby4~OfjyJ+filc5e}8~+^bw!a25=SC|A!v9 z(T7|a`Dk1J{})fYW8umPeK63s7CJS5KD$3`Q^d-wR<-cdMh6`t$U%y`GPxz&T| zNm`9XC*xpEv5VTR--18&ncaBQ-!Arn^D32VhB0dfG|k2JlFv0m1|snR9EUSD+CuBD zLVD=FT4Z?{-Nzf6_6q&nmic-0%Ow}G_K#08DuKRo38#yDzu^eax@Hx9UushVCiSAM zY*Ltf-l0>4Pa`bVKf?5-UuzZ8)6)lsxO?8SnJb~<<6Ab^EX8dy-`w2a9o1?+0fFhQ z!WHju@XQTP`)UtO{q)O=N7T`wRck|+zL9M#!^#(@L8HO+sN3rBSNnJ9lwO7C4W75K z>Bt{Z8|rGjDr*2BW96#p`Z{9`)=!TaU0=d{`&^GL=&7i>`l^OASEDoWL_j84>;7*- zLA%MncH#*Ep})C$N=JEGxLBMnz9q^%r|e-X4jL&Lu~@^2QO1!bNY~PYCdun$dq>D) z*iEgji4X;uT(|YVj0Cm`tT`8+-ts$lM;-}Aw&uPtDJSHI-Vt29J!9HqM)h}+hz8=3 zP0xK3)ykvNibu2EED+$@jjv_tfqXjLzpZs0NZT0|*t0n9)^rkmn+ES~cQvVty9{K| z9FCSwM;hRc_8V;2B0&sRgl)h54Cg))VS7onI!`=bz7$!}nKNzC%9k%za%$g;6tVK6 zf==}lit6|W@ZM%1Ro2|?;FmqzQe8hd8}vubHCLL)#s+8bCN&w4MDIWq#LcM5sd6nQ zeoaS5`)1s5?lb4mwu4$TBMG@e($oan4eRHAjNN--TqR3*taZM#0kw!tC_V7M_FvU_ zfdouJ9vYy7#_em@K>TljeL7{G=t4%Z{|nJn9Rhn9zVV1(B`*))dy1w zg%oOODj4q{mvc-;7U#Lxtz5^b(4t|Z|=O%m)&b>){3AEk+``7Y6&=dNU~J4@L+t=9hv zt>}jWpu0lzxCf8zA9a%JoF|tLN+VEw$JZB;3hnloP3F;5??7z^(>a?S$Gr%W=W|xJ zeca?`z#gXkiJzT%*ZU3O0CI1`56g{L0jc?>X5#h@#Iun_dV;6R`WkZpUHyKzK=L!x zl_m|U#kTX}AEeFxo#WrI>Z4f%wXX?zg@wCK0W+^^zE<3W&15Z(xQ85-a`g`?SHlDK zc3lLw`DL1wEP&p2xE52WJ(5!+wPu|m5lNJYxo$4{7+glNQX|^y5x4N*=21OG+lV{h z)+nGl_YizilnqUt%kMXxxw_cg*?;Kw2BkIFh{`H|6ex58k09p%+LJuK zEpiHo#jtZ+AM{zdFMpYPYj!W^cywg_I&-!jrWJ)|r|dd&q$F4Ry$qz${>0_BMfJ3r zRtO6K&~pa@tATJvW6hcam0_>K;83&U!@V|Pv-`LN)zc85&{1C=7SLX=7>H`h=LygO z-fCnE|6i=VWmFtpw{S}m5(0#f;7)LN3m!sncbDMqt_d34-Q6X)6Fj)POLyb$(%j;C zEzdi~Ip_Ov|1d^Zc2}yqdROgQYp%Jt))~BIyc5qnhuyYiX%}jUZswTuj7FxKE0ShQ zgUIQ_Yc%SAzkd7blb&(l)O=D6w=>jnVRb8l4(_A#R*SUiGT5=u>e!9?9QZ7_wPv3z z6loKr_sYZXcdtejCo)Vjxb0MyPnqloX*1wB3l8XG^!;CIT>0Vr6PIw=pM+R_9KtO=q`L^7Xe!6uuR-Eh!wg#d=vv-nt@5j`4 zeFE!!pSfV1!_Mkixgi>(RcJx6QO$_644_R} zN0sg${&+&7y_%3WVw?pdCCFlFfNlVdslis^ct{??W^PV{b)&vE(G$!7R^2ikASl?? z=yZ@jGCH19@bl--eA^f|wLZ>|3kuEBY(UGTvw&(-r6Tob8Hj|={ZJ0EHzDAgFgPxL z8R_NjC3Sy|hyA#haR69bD(6E{a4MXK`vHKEX;iGY?*SnN3UGHwW_zIB`zRvf4qO&G z)=4Pr`PA|O>#p75J&1!)p_Vv;kblsYi9&xYH$Tb)L>?bzw&$n8UL+wbiATlp0;#u} zaOK6KbXm|!WlH6d@s@ZGdX1s|#V%4>Mwf^*U^$eUoE^-!LJDuupHJmCZm_^%FYIDy zr_BW>&|l_+6n46klSc7f^F`}>Z_M`?0&8L1T>Lf;wzOU8z)I5-mFiyvneKdbir+VP;tyJt>~B&xkCxiuz)1XL2gKEQc! zRxcf+E~b?=|*xG`fPn}+%I{g<|D=f%_>e~~jlOqZ6?TwtADQH~i6PQrz-TZ&#EaOmYrv$^P0n@l5=JbU5LNxNA4qBeQz z3~~|9kq;aY>{3I{nLX2)TQPLuLNQC&l^$%v`>bYXCi%$t?d%Pdv+1LJof&p{+7+8A zpQscGXaPwPX?GX48mFt+x(py&>j%e#u#ej2eg2Fzf)SdTYl~jdphV zyy(~x@(~q+%n?wA%rM35S#o0H?=#54`q%#ce%M#9ssO*5rk2*ucupW->o1B0x_hLb zZ1&}ho0u%t(Oq6%^0=M<04|N|8yla`z{C7z1XeodkeQp5HyZc&DMnTw_^89J1H2_Z zTRacsFlMM+`zPzz4hOTZ-r{?bLe69d!h+7mXZ%$mi+yeLhI7cxd0xIh?&n zYOus{k3S$~qL11gHkU7OD8Z^azT(#7hjY-K!az{`;KzO1b3mLKgv#4B;y1JwBH*olk4t^KV%h zaoJb#EN@n9)63a{QKBL{H}t(?=@KJudnB8S*BYx6K02QAw3llA_B*Nm5gKZ=6w&n~ zD9CV`VgBv|27?@$f2XFgw@Q(sIN*7it7WksJ$QWrzqP~ZjYEh3+drc&1`l5*?!8V7 zO3IH_@cx1ODLT!Msin}@?Wr32{B@K6Bz`$)4fh)|e*6g4+whC}BGOl7=6K0d6HOM9 zC7Zane?%Q8PNkNO#qHGMD(XDXOxEbRSVMOMBUe%yDgND2vccaPUL3 z0Ygfh8U+XyhBU-neuM?ogW#Ul%DwsYEsgKpgk1jFsfW9ce(^oF+!O^JY9}!`YE2;S_+EG0M zp!tUF>=6MF$L(&b)2khj=Y~C(8`D38Gs%$p&T(k7xgjMyg4Y|oQv#I0WsWAM8{`^S zdVODiP<|{k$Mk6QxTKzpmon%-kL&)@Gv;g{v!S;!-+FRYx{2WKu4iQ>yhdkv^vHnd zWw=v!Go*Eg+FrIA7M6zODRN25&J`|2QyaF_%zi&Io7Qe{lFwPHc1$A{B<67t^;(jU2i=O^9j! zdSEcPLg*#%wXCyD?{W+h+d$fR#M@(h_P*HBLiEZp=VOxrLs3w_q8V^oMxv?m+-A-J zQ+Q31pAKh49BlQIKHN|k84l>49MpGLsJ|>K5~Zb$ba#t}o>L_!Vr>b9=#6K+Fn#tc zH}&IpHK2wFB7yu?I3`ha<8XN^g#)>y!&eMwAao`kSGm8GnxI{ad86nR>L?6IdDw6vrH%R&-dq1H8eC}dc*MtfjX-B8mc?P%j=U(i=~G5-rn9QC@3}#4!J<9i8nZ` zuifvEbq4NmBW4KEMkjistx(v*QtCOBaEOB@fvza6gtFtHPGU;aWJP4HnlXirfgd*B6)?& zUbBKfNOvCI+ln{jvnhGbcjsrqtkk|?6ZfqX3EpegM~*xuDtPHk<~(%mCO(SPJ&;cH z-teT})@J0YaL(&ltTJ2Y;Gt+_oADb>QCmpAw8uy^39k2J=#vcKnk z@FZOAS*t`|wCe;AU{`yJ@uq(wz*>4+g;Yz8sIiVi<6Yb*$2K{I&X-;h($a7Jcv?Gt z3Fxb}l0#mqSX~o9z{86UyFACO6X@Gz?HqfHs_ex=Z30@1R}N&nv_6RkcR}-+_&6n{ z>fxXFASlpHo{dX<^3}}pIppow&BpXgETL1fWup31pPQ3wWBnP<6_NgCFKhm7HYcaL zp){5#WrjiUy`gYe@=zN0RdqP$zmVkgR*oDXfhCi1&1`b4I@2OQ?x{4M?VrSFNn2~K z(zUPt^LFBiHyt^DeCP zH(1QBFiI?e^4i?aX-X{K>;1m<5xS!C-m0UGwPolejCYG;kp{Uxbw~F+O~RpbwjNTR@@w2#+rAnyUG(by#YGofOO??Iis(g zSEv9tNWdG}+!zI@R>j&Mr8le>jDM>6Bg`?Ve;F!O1Ims#;(6V4r^__LA;EZjsWp2G ztkk&d-Bl8p1}_mJ-(v`G9JR;PsCb9pFV-}grwRnk)G5D7VvTGXHX|8sNspIQ%VH^T z+!=WZJh^0Ph3zYim&}w&M!eUel%GJXRqyJFNl<0-WcxbGXAv=V@N(6W$pNH!`3{v2n;&9>|cQdhXn|HUvzD7ikUKH*U3+>f1GQfDiiBrFn#{nt(YZ9$%KA6k+ext#lky)jI1)3om`txMLM8?L#n$Toc$Wx*Lt{f~L=!O2O!+kr^-zeso!N>Nj^yzw_5$HFk!@WW8 z7r7i_(cILOVs=hW ze+GZM+$1^mAJqBNQXW|@`wM(&Y3cFF2_Oax3+q{3&7f8)-p1FdHB$mUnd9YmPwaa6 zJaNKAgf4*VMqND4QF%ha1Edk2uyUpCQt%TnetTE24N&Lf-Sqc>8c0`>1uP7HqRq2) z{GVWSHriE+r_FsHvs=Js;fD>|r=7^F3=Kc+q`CE0@b%;1TSsWk>7>59@Dqvd1a^83 zC1m2@D6of&3;|0QcXxLLbn5P zV*uFj4S-y>$HlbDpAbJ|+W(863J{VR4#uzV?uyr2Eo1R{e0);;pKkRF%lyf)13&Jq zu1ob{OXj3dV6DMqHbvPw3OoV9zj-qSZ*OCx+aFCv{ORx60_4|R(YEaxw=^t3zuPb z@#s3FGnu$U?48Co2)5YT-tT%Huk(6CK+&hJMI1BR*f4@4LFE`xSkk);I3rf- zjqb=~A-SY}KD~k3t$6VP$$ild45dg7s-Omk1YA^h6lcf|?j}{*0VQ`H%gDt5FKhjF3yd$`lRVPNELc8l}M;L0hMc7iW{VpcquZASFT4*=) zsP@kiot6J^t$r(-wme4K9qqLK&XnS^MZ=&7ZTgoQP)9$p8^lG}Ps8!6RNFlFExpM` zwrIPX&s0wHr?js=n%nZ~#oMQX&c$qH;S=ILfTOE4;}j8iXz-ea5V8ATK)vn zE!SN~@CuLpZAp(#4@8r1SF_U-SVG#1I}`E{f3AIj*`o)0XzTAZ8+=4hQ8FIgrz^$( ziDoW>D{PhG=U=82Zo4Gz&g`-2f})SA%Bf4>4zb7^z^vVF*URnLEU7Q=;^22;Q^K%w z;3Z97hx0tCsyEOMvGb5y@&{r1sJfGV?E6ST$YXphpc6c&QMEOAdS1BSL0B)C=(c~^ zCvi%?3XhHGML2`6{_>q)m7;a0-OjTPKPOkHkp*%vXuXcRzw@TJ) zN2gFh;@OJx#@ZsO`TjJ?BqU2UyoPWUJ{qv6b~=MNn(obwdueOx*^85{2gn6A} zWm;3EC;}y(o32M}g^1fdeB7AS-bnuP_b3S#0~Xt+?FNi_$x5J%`NerQJ+k<4_VcAn z66(d&!M>H{q!n&*-EwAQpb%xB;D$w>1>4g}s&l;L+sX+@V>Z7hBAIO24JstuzBOND^{|c!WFA-dYj>*@PpsRq_m^)lq^hOe<5%{?pcwLLiY~4lXzL z$e`ju@*0@XLZnjq>G!kxq~l47?|hBi-9xeEB=4Zvj^90&5x)rncly}AxZbG7p8Fm{&sMHqc>^1FX&-Fg(d{bf?+y%GtavLP%_TO#zLL`FtUi9NU_=6R=zR#) zU=LWJGpn|maRa|e2}#SrudW~MUZ96u`KYKZs$Mu$7W}YM*Qn7P!{iqk2ft}%MCNzg z^^H3+*Cj;cTV0XrhE{%0yhr?LTWL5kW2)M^-a7n`Vh>3mvUqkos<*c0d3wW#o)5`xn7XRG2O%XaqH)WRySKr@9N|BX!qcD|DmFp!@ z_=U4SnNH+v$p=NGm32Hm*@~Fwb5J3DvP6cnbk%Ydg&-VKf?f^moofMIKa9jT6{CO!Q;7!mo1a_a>~1gZD-#T1Wz^mX6AIf za{k~3V5hpFtAaQgiDBk@I6Nz!7%;%(&Fifxut^BW{gPbgp?tSg&=3Qdz2lx`))nN` z(bB_BHf9H|SA9em%^|)?idOTQUfP#4*Im32;WD)4p-km0crGT+;u&&PvP6xZ^Cd^z zVxKRNo1*;1I}fUFQ3aR^trDoxw0Fz8Ey=veG3lwjy#)4R65`L+pq%_|{LOwi%gMI7 z6BRJ3TytYC2JXd97NXhk6@)@(;e{D|A6zG&!!TRvyiCG7>pc+Vg>vWSfw5H7D;dF3 z?E?6yMcyl;+*xAM#J2M;qLW|+{PzLHN3aG~J--`{jHB;ioy<4u?=Q8}kBr`s@$zahw1Db|skXJhJu3^e*{iA}0-f&A%q=W3yG+2m z@-l21M?CucA6mUUpM-+ndQ~Q<(`pE79Pt}h+(2Y{R7caY_hhXjYAnKX@chAD#7D4w z8c|w%_9#cj3)!5{REpv+5jpnrm3))uRMlW?mLOc!GZqv~oS+;KM4{PBT$x(n0$2>K zIua*@>pWkZ5#nc0)fmOpYS&$iKCtHPi^TT*E$V&ta2--kXG^nd6w3^s1% z5-FKK)JNOj#p#jiB?4xyLG45-UTf@TyD4tKp(fH+0u64_Z2q%mj3Y)hpjf2Oy9%I~ z5d1$E=;5HEc14kh6lyiI1O9FZAXYz`j#&V1kLf(FofmtvQjzMOMLXDj$6}n zgljViytRu@&H|rKQsQ8YTZ)=$cB^Sh*_Yl#@kQB|KZcV!Hp&1B}zI* z<*4eEC)seZg|gF!QMWK@FD)BCS-u;%WrCXTBq_8{vdV0srL>rC^rYvJ&vG*01n&JC|=-w;uTlqX$zWDlblPVr8 z`BH68d6eizXRc-s6q3!?myKc0z6hMX?gZzdEaq>G0CF9`-h$x6x>rck-9dV|uo$nb(QPM@CQ>EE!7QHcqyw6Qvir~`pPONFsl$xN& z8*w{%CClF?(&=YKUe@qju|&te+mDn!ttAy;wy}MWUh0^!vhqxwDC+=!`f$MD+xaeFG{ zR762E1yvdIOi@fr4K^`mNX2bzUJnd=az$2TUP(XM`}8%Jw6@vGDMET_*~OEQqWhy< z+Y)?1J&*NM`W_BVK{QD~wMcey+T5&q_SuLx?_N&L0BjRFuiWlyedeq{@ZK*JkOWNG2o(4aw^(92!apl zWSsY3DQ^(>kaaw$s9B>6o-H&oARv;FnJ0ku#_=0AH#5-R+Sm>9hdx?R&c4+e+EFAw z`kAK;O@##@y6 zPLMk*nHgJHxwVNljsmy+`}kk?6pK2w0J(uvnc*XsO9;a4dHJG5Q(FW05Qj;yQ?z)YM5gN=5c;Rse@2`%C(K54DK0bHxr#SHu6&+iYx|E37NheS+6vktLFbgD3P2PfK#oiG;ZDkKtHiW09$-TU}*uaW0m*ePs(^BvM zDo{4lX2do4uQ~&#w)Tn7V)F~29mZl7pe9FcJ>of`-R8Mt8}=ptQp++R=gQu@PERaB zOI?1nE!cs7)Ozgy+6CzMAizQl=o3vrp-`zS05tLudW1eycLEDHDSrfX8^`H3(I+#q z#X?OG(B2RM&E>9ZbwT~^Q%K0&$1b@|`3aax)>%3XM0-nQ+0Vt$V}Q9nh>VT8E1$?V z5NJ}o>||g~&KO-Kqh^Ym*V(P(yWqnOLdaYw3)zFWSP(z3et|K2Jl3TnW?PQ3=c)Z96DDN+0bo|NhcB`?@MSptqU8ED*AMJ!@AGDe6O7>k&uK1*HJY>~K z4dZ(RbkxxpJ|zSbT>JN(p80>URI3@g>`d&>bpf+1rxtO@EvQE8t=)=+$$b7AXMfW& zB55kUc=G~ilL6|i@HX~uzs8!45WkDA5c4Wyq7X`92%50r%RTI2w4Mv-?$Ph~HKraE zM+XzE3^X-z3Cu;Zk5Zk_zOKT>5HyNpG-u3BwlXQG4MT^21$HARC)K-&cV8^zBsp&0 z7|mK1DU_{lS%Cyz;ei&tRv9g)zhKB{j)aV1PFX1WjxKV%s9^|b?4Rky(MWMlnZ5hj zLuS%$tW3S!9wh`mItjY9pDBsG?49n3QZuj1QA||GPo(&coL*_NNsucKFP0?eH$1e3 z=HxgYVlAJscA;;opEr4SDKGyS1;e`0DPWXf;DF{C-m-nD9orjzhW5h;bo#@WiF5i@ zOwlPMLCj~3k*5p1x1b~OF4w3gj2_^LKiZ1`8T-~y5U??}88ekkKX;rXnRxJsR9(n6 znMR!2(Jg1xqd!-BBK$Le{>O{<#>*GOPvzKs=mRGMN<~7Z(=@M*sC=1?Rtd^=bnG5edPdtJYZ=BwUyO%l=Y;fa>fr~<0hBPg1*a4Of7sw3I-XgwxTFHI%m4q5}%jJ zg?b-t60uMP-h+ zcry9|DrU7KHQGZyUy=Gl7B`4u@T^A{V^M@?m&U;0FF4aAx+J8QR4nBZN+qp>9qoSK zwrPa3(N-HDr1NszurEGe$fs`vsQVi|rZ^KKz9ic>W<#&JlUpUlr9%+ff6@kjWGQuG zDsGyeY^|d3EO9>>U1pq&_wQiEY4RdfyYioX>s7D^_vve1_Ta4?8ns4ZT30+Os$N5V zr{YRea%0wg|8PwgzRbSh!*=-knbFD~o9#GhMVf%{FSZGWj1Q&{w7KCg8A~SCR>^tq z9-~Dg`*XSYQHodtB|iDwBF%m}vrd+8Q&$6rt0itSbvP3;*WI}wxMJu{o;cn+-XSks znGOQ@^)pd+*=MLVQ`U{xqDX!zN&Ppjr#6~+2Rq!hM73OR^v{>3-|QCR_vgtc*Hs;p zKVIwsh_#f)t6RW$PHM7ZbHHjfo5(ypQ0cN1jTd2iLH(s(PD_o|?PmuM)o==%_LCJ0 zX&S7J_h&^nGM6pt>gpToSqDtCnhlKf^z=ZZq8CY$y+ADeS(P#dkoBosLFfj=qkPty=C@gQRbUkoR*H7JQ#-V;Rt(AGZpn4}N)ew9Ps+%H zA#=CCE;XVoo?2EzH)e=1H|};IcDdpqd4%)mHJ;B9P@6MtvpkK=K*%HG^`c7#JzhLo zZxyNwKpnsM?b}ulsyUKQN1yW%&ISBB%TF78-;3ea;ByUvk7MBP=}Q}fokn+9zKFX*-g2aX+N^b(<?)(;Aj_|=-plEsiMTf#P{4jTE5czvY9pBCVp zJLsI|*a_UO!%A|}R(^^j8ivn?`-Z%Dptvx+IM?~%^*&8)e1cCVk6CTTjbfGIK7A5y z#OC5$39xxXv5OQnnA|-n_uEfTtuyrJxA_r=Qyiz_hsV<@V#Br!iPsHtY|WUdnw29@ z`?zv%Qe{N~1l19YlyI`%GPlr;1)6Z|d)E+-3sCIecT~R$grlL0J(~Iu8I|4KxWnjXDku3N9$m&*zc3Gr2spKAO(6xyr-1u;H8^CFfxvTSgK)I|NI+WjOpJbG_ zw3P#i3E*e!3ph0=0LH~^rnDdWa90GhA<^&MrXPQp)$#tR*Mk7ClYoF#YSm?hPNQxO z3>F5K0+NZh7UlmiOSiMDoZ5mtcp2axIN2E>U2Sd0@@`-xS)zof$mEg!Oh!O(yAB-~ zY)DBXV;5)nyecc^N?1@wFs{K`q&I06TdtyA0oM% zhX>w8RKR+&oZz|~Fa$1~29H17wcaleYCrlzKzNc5rxQ?1G`mTp0GG-gN}>w7WW`EX z^iywT<-22#JdaWY2*siF2ngu=0^3}b?zXP%ul1wJ==LB%J3$GfLWi4aVHGLfKkf1* z3B(+-`Bt*A=Av*VTP!bGIm@KA3W$*Vig{~wQLG#m88Lv)AGpoK;12(#`CzdJ zVpu8RS12OO!n8#(mmpF6;&$uImd}>CZ*P947qqt~U1akEU6mt&2f6V=mdM}3=Z^|W z`(ZSdZ58}=cw0;Fmxa`J|AjjD{)IZbmi>u33-5T;ne_2|CJ3Bp6Q)Q-@ledNtEv5o-lP0X`0y=oJ5|^ z@yqW2{b_ftvt&459?nv&sOwFvR8q3&LE6vcHmM_)lB8x)s3jFpzd=GHhb<-ld^hl! z8YD_}f%vE6r-$=4xd~(&gFSvt;IJ4KYmKIe#Y}4IXB<8LI1r1tKR=1?o6)=D=XLEZz2Us-(eeDW(kBu!B zLBM-_IkUW2s@vi7w6X>I-Wn=tvoJHeKsE1l6-uU``d8}ry#*2k!$2ngyl#dG-Ct9f zOvOEX1u4%wu2ZecKYR(kN1do3G$c(sb)ftb==gh&e;j%%R7G);@ftydK2Ekg6CaSs zQ3YC^3Ke~pG)d+a=>`_ViCe5KX`$7f8j>z(OzTY&Z7C&aHFy*86BmQ_H1;LPH14=9 zB?%j&pn$98mnI7kiPC+`#0d`rWr?DJ1s~$LmPU6f>!A?Yzgd3iD>7{?T|u*t&C2v9 z1#}hMU#A#Smp7d^I_xc78|RW~Tl>F`lLiXy`SmLzh=*P$1A&0|PLj>UHI2S(;cOBp zkzIh`cb&p|Vm1_d@f#nH~g`N}GzJsz?&x3&{JNWGL59(oB1381MhR z-5lg|!#qeFd#ha$+w+iM`1R^%H1a1+7gpQ#ajvgm>X#WvH_6!-gSJ0%8K|2m@#7uKz|R;l7fB(l)8E{ADxP#Q8W95a&VCl)B5~iT<-CRrGB{_ z;F!N)taQRz?#WqSU7zO>c50!n=aQ28FIKv81Jr`e<_>G$N4qs+XqkM*xxi%AL8-`TeJ!5ini$*mxT&UQDCBmSYb2lqhefTnPRI6iQ!iTvBVXucNW-zJI4fh~r z)>w6x9mc?*aNg+{3%Jiv?WUg*vyopBwtEqG5no^^%NL?K;4OR~xS+AW@w>dUG`E&$ z#4((&n>x-;#(aCn*Z`7EtJE_LVYZl&#fZ@Id5l~9;wQ9=|Dtk#4F$S%is^0j5b^^L z!}a#Vj;R69v50p5E7O8Y!A$YfX44HE0@`CnMwr=4qeT&0dk@AWYjINlw z7PnwL=C5b~;2&$=!equh#lQCDN}Tw+NVP0ajB~$N2e|r%=0YAo)mq&~oJ2HM$|nzp zmJWNw&Jw<)fs)Tzx(hX?4hIWy?T=7gpw7l@w!F+aH7*YQV6onKxyg~oqtH?b2?;3= zFi*hz2HD}^<5TIh@c`91Ihu`jZV<-26}I3pZ-|gEVT14$Mc?MX(ws#Hpn zTh?ms+bceEK5?qbcTD1_2)(ghYIRBZb_RrbOt6}btcZ!Y(isB11?4TCQ*aQDaFqi= znk@v*hzFl%A1e(oyEwuN9tWaQm+p}P`yJgYkFZAZenP~v5kB4461R!REAvq39Y&c1 z`Y#UB03;Pc=2B(3SUc>KqMfA($zOnazjZ)ULwmYK)#j3(U7QoCHT483Y<;!_c}I2x z=`Nxr*|OUoCOzXKXZKWKDY-6gs?bH;V>P}e5thJ$C)qKz)|n_5Y^P@hL{BO1Mie|u z%+0Lvhs$;r62h1_+sVL}`ss&PH-)Y)Mb1hLw@0m=+rSfZlOmCaVD`KXS>o5)5Ys_o zvb4J>Ksl|hYaOMAF&$F5HiU11W`~2}*b5xAP6g~_Rtxtf24Owz8~8S?Uk_(q9@QrA z0*$Q503mQd*J3nY%CDZ`dC;cflczcL9lzyGP3jU74TZ+#!!aU)IeIyIb-~NrZZgmF z0gL}xqa5)!jq7JflR!7x(RKm~ra z7S%~tK=SnBR=VU6Lq5t=b{?>aW0l7$Q}1nX^$(e!}A|-5bx?9`-CTv2c+5X86&t{c%HkuS~&^Uh|T48@}UN2h37yRy#V1 z32vs{?f$ALcO9zXQ9mWOr_2H<=QoeIu5txik+}#;>6h^x$*mT z;m0;?C>=a-WGktyYZ>ND99v*JpNE>OGOZA2Mz2Xy;c~n#{**^y!@P~X@0N1KX#1)S z=->XgYJD$T||qv%&d>Ku|+aN$%afD8|;38bEWpE-;n&{MD-w3;<;@|x$UkD)7JYZsxb zq6BO<+Ja$tbF=ZHjoU>~L%TL)g3TTs^6mKJ?Y&nVRhalhac@}g{7 z@<`I-aOP4?xnk-pu9W(#uN2mH_8a7_md%L&=4$B~46rB5-}gRhP+@BqU}@2~ zK7V)26VK;f&X{Lwsvb8$8zN3HM+vfMx{Yl0lCiCl9|IT}H^q~oI3BF3+Erq{jIksz zzr$zZsN>@Se5W_+pHFFKWlDBfxgSgvtWYn%oKbq{o z{cdpg-Ew4MvL1i0lyUOpCZ4ZPe{vJMC7H_slXdE?af{12o$+A)+qWNVcRr%&I0#Lf z<0Vg_O;~Gx09`o-U`jAm5xUFh{my*`7$h-+6g!6{yd?Mel?p`Go3RCLZS9{*U5^|O zPdxJ(4NhU&GI*Z{ed(;VpS}5cMcSExZTx$)pwz7qg%)cv1AP&ydmS40k$dh$>#EM- zPMmvT*J+HzEi7ZSCTrPrS+rSn=+|2v;y6*&cE~%Xlb~42{ejaU!9pdbE6msTXcZYn zo&}TEdW3F|bBINX!K;SeUO0?`kOl1f$q%Q^-~x@ZLvpFX_Ney`AzQ=tOxCCTv08oE zK|vobM#FN`pf6z5h!_+f@(q#TydY;Q7i6w`&xdeoyGqqjS;t4k=C2R|k+O%o0ZHPl zGx;+4`I9d-N}Lo{vvIgnz+TJ+)Hn$|qor!5VJj9eWTrK9l?@sI5nH;|GOVzFsDBiOwROdcdW6v|%I zJx#LWHRk=h65Bf6_)4eRC3ok__dXE{rFtR}S%)d+p1ikay-N|z0~JMKrWdAkIOjK3 zn?nzyG~qYp{Q!U%b}KY;whs;Y5099kY(0M%e$<9E?=28)}D2$4}`CG5CgW?=lul>Xl$VnuB!IzGO7 zg%2&?yQg`dAWy1^#3vL~)WXu98(tV)>@Rh2ZXL!GCn_%Q%{BY>+ilP0UqkSh0ljeN zBMHi$%-+f+F$ryb%!k*)WPehs9{{1R#L$1fWPoD)UzkSL#8u;x$%hi^B+T=ceqE`;9~syUwvqQQQ`&S2UoTr z{Ob+Rzpu55sA{hY=DJE`7G6@x%kWF~!*4U-efD-sSiX<8Xe)G=tP|%D7KuE)Yd9aR zdTuDEcmpfOPADm6yDcc4&0mWe8bBMhi7jr7ZYkoNWzi*Gn5wkIV;|;->P@oI`ye@p zUaS}zuj46PzTx`RcW)>h)#AYmA8=%`pUv*A_(iyRc5<-2GVsTO!E1KQAau$A&E#NJ zah8}UG*V{FQu%)&{yA_5X`jV@?2~IgN}j5FH9Uy8Lm`?X_1fqd zIr_1Kl5rC4Xe4(DC3hXkv#`M&8@ZFM)xA{g=IDk!WM;a8)5{MwpD8@d<31NhqS|hw z826QZxLH?7xnYCOn^t*~t9Y;UfQ~qf{VDO9Pa+B5zOvu5#hXu!tAQUHg-nOcS!5XF zwGnhgcM&bQpoKK6i#_OZVr$luno)2f>!Fx7jd`t_Ym+0#B&!S|$W6#`m6)(KA?D#K ze*u+l%p{pxq+a79TN|wKJ?l9e^XN9-qSAT?T<=>Y>gTxZk*<8K3m~>v{lX>VT9n$& zwDL)@mB2-Q@6K_l(Pnbp?l(fbzo^5l!Z-`NL8>4a6*$+Mx zU+k^jnQ!{J+?F%FquSzxyNLYiJ!;0Mw$wI?J;k~tej=(Qc0uwJp+KXWLLE8@ z0~ZZqV#3MdJ|&w2|nDU*>BNv(2TV> zU_nUg82B%79!Z?Fb3BVVN(W+fD41#v5;Q;BzW*j?FFe+uCD?4prFi&d%U8r&>+uT7 zRw-QnCPP`f9eQhC2V`YT(@Rt;^jL9>Ag`2*ETr8tUfvJmoAY@JEn__an&kN1yw9% zzp`vU5SKJ?i0`+BN|OpI@8`(vc)T&e`rTM5igCc_J8qEe+{&zcV~#Q06AYE2n~)?= zthvDoqT(_`W2#>~45`O%1b?uk#{BxJ>r*yr^o{K(r`zK_hdCUZVA1adEA@lE?=JC! zqc>E0V?7jdb}lr#mUzP>TqNVYqzkkpQDQ~aZlrc$(UUrl!HPr$L)({AT6b*Cd^llZ z)~!VHuF{05ORQ?-eK+nhSXEH0F!3$DPiZKr%~yUxaP%pQ1x8FMhHteHjpqV3J>f+O9!Wvr+e8MdZmJ~HjXm0QUq5|sgP}^f z-4tghW9)C#xYPTezBlt`PrI$luXDFSONed5#d0A`*ix+95AZrrrXW)(k<)EuSZWnE z;1zbBdVk&go(md=z`SrAR-G5|8JFaT{d=Uq{tv@SScV01SoDMxjz?U%uEE)btItSL z90DyO*5%tHsmG+1u{!6;+#ZL>d+ZuDT>Y?9i{Px$YAx|?tP687& zQ06YF-V$7J0`FjDRFv4)OTp~2OWa8)#96ZvPI~{9)H5)Qh_Ayb!!1Gd3|(m1o%YsV zM0EKliW+p|Biq4q6!?W@Ty6E0A^{BpSA?8)tD-eA9=lBJOZ;9DWKnHC#Gp=i!%2FR zTN!fO-cMum+vaaKQiO6S7dD2+=K>7F z93Gd9smrPOa)v3QFA%aU`0)gPi^(HHzq2}jMRQzC?yJ-Ho~Pf80os4ZDbV$?q>VU1 zmxLl!EVhoDjC#frNt-T{!X5@tp-jLSFMu;RPXjmFL+pUwZon1eG=s7nCb)Q*k*_WA z@<`_yW57#a$$)Hm)N|u2Rr-yINHm>x8Xsay0-xV6OY~*aH-uGN# zIbb8WM$ErB?mv>*Dzkyn>5{`m}E2ERGeJ&MeIRH2)JTVWB<>bph3oC}k* zo>xv<}#}v)Cxq(A{DrP*;Uhg@-GXki?i_q3Z%4x>RT3Sx;LIFNyH}lVWtIsDb0o%3^&_xNVicY= zxZN`=gg=O;SxL|j=^qTa#WsNF}6@(N}tQlG3>C59qA0$UD}GMuaVCd=?FoNP5{1PM2&UYYmhbw#%PWpw-jUwY<#A7do z7XQ}+A4dkyzD&~>jB|6Op6N18>|`n(ns1A$dC}N3^gLVwr}({}|FYR57B!?SW)sA$ z8N8eW$H3_ik%T&zw{&7s%CYbHQms>=aEvBEoMC!igviwjptl{~(h1zjJhNfiMlqKu z%@vw8Dpjup=N(~jSu(n{u2A#dOT(@MJ%%U9ADGjx6J7G(B!~Btjs!p}qLPybLa|w{ z?~dBV#Kf|I868T==*J&TqP8*oq9Ojntd3GL%f?iu?BM z+oSM@Bs|kkU*F7*s*~cDrwMH2eon5A9M+RR(!?Tc?~aos=a8`(MS7FJ1xsr8@*~x1 z)9xjuT*(`%ASyq+#>n*ecldp^neW7BkZLrn2AxaP=IopNH;QMIA9W66vq-&oGSPd? z&tpff3A7yVH)J7Eli$YsUTdbwH7I$~2#ogVD zdvSuLMT@&bDDF_)-8HzoyE_El_IKahpWHWZ=KjHCCfQ^Ud(PSY%14^XEw9sBV2;?u zROeDpe;?^>i!m})?Jn&nE!dTE{|J@RVb=Di_6-sKd{lBkjcMofagolJkzHTU3?sas z+H)sLulF_Zwzj@t^RiB)JP~(q-1zX(4F>Np+jU-SFhg4IWXCk~_nh(P*I{{B%0( zT8|TpkXc$8>F*yj=pPjLxqQD-Yt^MKJEGaIn4dxyConbO^gX$MRaXgLw0y zj&H{LV4d_evKNPS4piV5YNtm`CYCF;g>0YhXIpJcNlR_p{B{wrUuI(xwAQG0E-h88 zWCog?K;(`2v)-RPa70r!AV%!Y^66vH%%YNRlSAr274~?R)a$%R*nyr#A6^52R;DtL ztNoEUT+c}!s(`1A+i{>^m2?Z)OX)(OAetR)gZR&b?w{w%b%ay@qKjj7JHc_(j zRPy&Q>%wM9=YMQhgKUQMy3JS$?TNzB3`Srxg&pQe=-Fwv%+Rc@dg?{ZD=pURZ6}}jhxo$z`nN)|Pr=>wx6s25rKFYfwi1(0 z|MvuZu3-U4*p*)QjsU}{FN)-*?-5XLnyfNc2*F|)1WZ%`2LMKZm1uId)=~bH{xUgu zSo{$me+cl~E!1z}4aeu&0h<57=IW+3NauCgo2wwJGKcOAC$o9Mu4kPOrh)@ejvsgU z@Pa*2f&G)0pAZto(tGs6G_qq{l{Q6(jZVceh-#2c^h9>hTBS5)fiQtA6Z`xGPd?uq ztzq#_nnStmssA;8lG}Tgm`Yj7HeY!D2K?Z0!v>?Xy-^Xbi~D(o+bbh>v~MGRP0HC> zn%BzJ1oybJzTYM$;ZaLhMv{2_cy6JEC7-^8KaQX8A&XyZ{iu?J9$P+p-AWzFte$T| zoFsFV-?9%YF61h|H}FvoZls`(-|$X6g;Q+jT3l2YP+9u0O@2N~Cd*W<@J*B4?*6zg zQilY*VJD`U+ZQATG|9QhzLI7RHv23sV~KWmgrXMThAx3qEbKCl%CPnusv6*aa4jsL zFtAT7nMpTLl>l_yz`cJ`nPegb){U1fot4L zJ+vCia*%lsLS1x}^u8ojvQ)f=_?j)zPLU;M-4$f_)CV#Gd1BX?-7~z3@{EUmv*gM* zkoym+SAHEAb&gC&f}js`bvGC^mMi`?%hxK;t$*V`yWLz~&WOcPYw!yweA9iEIGPlX z*ziq0a|0oX`$Y#L-t+gi{55L)=5rU--j&D2R&|0fob`hw9)ieoc z5O3GYPt6jWA>H$YQmzJ9*r+j$AfgAEplC$S_Clq|E1O9VVk}$l8^yzOh;*YVf^q-!7FS8wjB0iud#uCX~6O*$1{wx%7YPrb=C| zOf&eAF-bk59_6pPXs!nNlpZyFQ^mEfSVL`hFwC&*2I*$C-?a?czRD3_FR6LpYp@)f zw;_ndE72{npLSlD}F+;a|dy$>--$X&LK6%Hyii z8&HZ#EhqA-yYDNWCCw`>6v1-+IEGz2wj1cA`aQgQTC@1PE<|SctI9jWeBc%^7!bi+h<|u%uHT9KMXv~P!LlEWB{smIRy8BucsA z)-+80nH*pr&J(S*qll^L*HWn9tNdpY(;n5UmlH9iQkp?^7~2IdauP(-KI;j)zOgCB zV$;h60Kkqi-jvP+$Y8t?E>ym-ZF}#v2qu-6rb@6$QRw)NP;vn^xF@u}g~IAM1d>eDH!kG#e| zNkzx5a*M14xsjhh$eA+41{V+{opwanEVL6mOn90aqA=`REFo!0VLKF?3uDQC4UUv? z-l?~XBa@Z0`M^`kcpxX&UT=0-l6bM2Da^KTN03Zu!2;i$D~FLtk{>pnF)uTiaypj5 z_cP1UIBq0^Zz4}M`zZ%|K_rz~OlX+)lg-BWeD4_a82tr7gHZzUv*eFAHVcmvr-e64 zm=_p>BZK!^pCu2yJMSW1Ofk(zlemItHAde}B{CTZdU<(qdoSGZ7J)8z07Z&PGv@ZB zq$G`pm6v_C^776+xm0SMTARkh(>`MG@L)V$@bBO4P^hB@AVH{9tj+*HdAVM_e(m7s zSb05IvZ*DquxP|KfA`)>Me^PlHE%B{34K^eKm4}bXyVYJXdGQ{%vE+AO^JOktXb5> znX1mX-V*_Mgkh+qX4`Q1PYLbJq557dOecN;b>IQ&%(g>h(T0^2P^A7XR;=rkU#gVZ z9lOMAj+^8=ZW+DPpS5-;OpuIIkZ*heox)%9tNt(rv9q9IjCGH#WL7I73=^J)W1W2xokewDy<#MKG_l06Kj)dT7 zu{mHqL|-Aw_gWKfoC;*aP3vg({A>C8Z2R0TXvVim(23;+_t-YG^8BtXh(#=cv$)cQ zP2?3vZ_N~W3^+AxUy3`A+sQlJNTdBv7Z8zHpxO3babH>tMTq{xIBTC=OHM3eiS_?)E?IA|Si@gaJ4dGvb zwn0oYw{<`8_hxH8tUysa{paKjV@WMe2ADuE)hBMW7b3BM#=VFan7Rw%;%3S{m#Mif z+d>^Pr^Vz?0GKwB|5d07^y*?aXYqHL>X%RW&gS`eAMV{itL#@>xjgJmOvr(JM5M5q;IgHqCHVK>mI~cJ zKd&i|p+YZViHX=^p;+Fzr?5Zqvq0$+oq%ANYt_U*(0-ws2EfAb;d9#jy%<3K@Zme) z<)&J!9zI>H@h|-;QhPl8_K*rW&S|aJxuyRoRfK{dT;AnA`!LqFenU|(K0z=nmFnB9 zDtGm@X^ik?GHv~tBMhxe(Jl3Nvx&>q?&=EWaV&|ggpo zbLdz5FI&Iom#+pZWMr2Ff+8R59-#3W8Z{s?GM1hR-^4hxaVI6y*71s4WgIo6dmV%y z9*{{cGMrXNp;2iBp=&GAQEXkq)r6QX9p!_e87xb;Is~o8`#cgibrm$^!^Q`4 z^>S_9eEE1j)ZU=GVh@5m4@QTEm9l(G^#EH^q` z61mxFH;PkqQ~X%J%5^S2x=cf3jRc!VWOR)z$3sM#DmQ{S)K3QOLyD{BV`A=n12|~r zpXPh!YfYKzGPv3lh`*}J5&)dJt()7O_1JuzaLOgN3VtMgG!;kf7o`@%b7jFpp_w+0 z?JCLcml8koR7U94=R%CIUT1}O-u<{p6hko8?L68%DF3H)aH?CVh>Br zWbx9`gE{JDf9<=fDu%3VREp>!I)7%3nr&NrSeCfaToy^L2T*`O9=rV8MP-HMhe~o0 zCHd7c=P-PSS)=rQ!RBJIg^uH(f%w%fT6;5N9aIB_x3YJ>fB@Cm)qqM4D@`Rkmqqf_ zk|5OnpaE2`T&As+AP)w=&V9cIWF5)0ts;TQ6_$G{wDCE4tqX7OfVheqFj+*xqIch3 zt0%6$XtbQ9gabUu2HaM?&Cib_g`N%Df5P`qx)Nt+XWt(bmlptigv(uMzDmA)7#>Fm z&}Ik)L{)B<*4boPBAIbfB>Cy}l5&X5u*Hn4uNec$Q_(7Q#m0l)n$~0c@qGMj`88R$ z3b6cP@z>G!HVXOB7e^4;J;|bEh*mytjmci9+a(=Wphh{O9LF-}v3pLzAM2?<#9kn* ztV=qpU`oC7HXZVq>2}7HRx|$EHkz)9jVwuyS}k{@8B?PEo{%Y? zdQMXK^JaWsVh~dU6_5G&60)Ws9##D3&_=n<2dSa{+W98|8toQ#0KiRo;3F0;*-O^c)U_1kbnihDE8T!^1ghIue&_Uv-EZ0giis&QJq@mkV^EKR z%OG&~NP5)hN4eC3eMfNQ%dvY^MKNWCODLYF^#8|>vepg?%gL;-nQ(i|JpjCYq~3* z$sBESXg=YVAF9ih9&}5JJ8wtc^D0!C{x3CgjjdsH{^VGMGu}dUnOf5)&??LA?-WSN ztj&atV1ltuZFR+Q@HGMLz)29jJq15HER=LM6jtq$4i2KI33 z?tV&=p>`YtQ7^O;GjYTXs(o?$Rj@+QTY?rHO=EARb$xzrv@5?j>+H)@U#e~`pq`VL zm!-Za6zb5jLMT?a=8WqM6_=Y7QUZD1jQ zmDO#+dJc${y=FEY#MpA=sWKbM0v>z+(j;P^yY;rh>aUUK&n_kiug71S_yn}n>-qEI zM8nYRbugprO}Yxdn#;Zw2wV$0lrj;c{VpxnivvQ;QI-{dU6~fZ9H=)+ojQUTynv}v zVvO;7PC_Br`)Z1GM5;7r|IbWZfnMMcBJ}lI%yM{Vd}!4r;$iSLE{Z2t7ey2PXMAvS zt4fjUwBnb)%(DtXyg9Aqe##_N%;jj0ey3xl>I2RiWi5$aKh$`XSQBA%DvYaaOs|F( zc&I?+S475K1erEO#5*pQeR;u#HDde z#dA?OeaR(8llUo#3h_~dc&yZFJ?!RvLu9e^SE-jHb<@G!^KYe56^9oBR@kF+?L5vL z1P!X+9mM2qDib`%-+SqgxL!$07?!`V<4&b~uNnFnvjWzo(QM#;c`|%VAz;?gMJy%o z8#gp@J*?nwHfs6pcmM^Aqdol7gIfO#%@lqVl z%1bqz$dAuy--bCFjTLJ_?NEIO_{DJrf;qP|j5i6?-L0{^dn=Vj9;@?CPsnAXc+yyv ztwWk5iEQ5c+6x?IBT;3gaLhPiCCe2VOFk(`C{yrRYC$9Y5IKfRc-H>k3=p?R8Iiv>3wvU{rf$H}!Ifm?LELycF61KN& zFNX;JX${|0O{&$1ev0v7{dKx#{C6LTBRlow+5Z!)Wy!Rgyp`!C;!wWxZGL#jR?It`bpz zP$kaln^WQs0iAiNr)*{VEz+{G$l9edov$AE#>u?Ak39=1$jO<1tO-BEZVg&ro;_1I zYrHe+1q3y>uiJmU2IQ0`0XN|f*tN|Qoq#A_Je@|R>#;T-r%iu(+w4qgsD=KaX%Rq)N0OtdbPsyMA%XW68IXpr_eeR73lIGU zra8=N))R6G82g;K&td-#ENdY3UG~*TU@Zj?W3)&y>sxc6?ARag2w?T$|9W>2BkQpQ z`h>P^jTJ2y=uWZUXHm#oVS-2WGEA>W!d9*a$K2+H!Ze+t6zDKEI@2ZSg}jnU!s-4f z_e)8RJ02<_!_P0%FZq=Vd4_^ufvJK)ZVUecV$eX5$=rS^4n0`ZaZGD%RYzd`qRM(`T0$bUz(M^J_^) zSvDrl!LSqI;doD=BI!S1NdAy@ZH6T5xTVqr1)Oj>LdM;ujl^wu2l7oX9oO|Sh7@#- zC1C)ifE8WYWyym;LYNb~l8icE28V<_a6!0{B_DXxiJw73A(9Ig9 z>T(~TP=pMde=X^R{Z*+2w{f|6WHUuMe2Nav_)0`Fqz?zncYVe*4bKfB03B#b_ah;a zmQTDn7AkHJEZzc-G{j=x-Og!IGU4_4(u4+kf8%M!kUAK+%DKL?F8=ROMoLJ0=!o}z(OIeO{kT7r?a{enk%(Izk(x&~U@ zNR#n9Brz~e{{dmdhU1tiBSBmHERw{<(3EL+Pxqv$CKdVy`g{d#*I;auq8*0(2fMec zAcFg5qdl*WA27@FVoQ`6_NUy)sD1_2$7#%VS{Vrrqry6@lZ zs3#QrU;jhE<4W?SODG$lcoFbA{|3snDiz+ zAu;_t&Wj6TBk8ancd9qX6%6|y?9?mjPi+>$kHu5R^`azmmiRvp#=tvCd7Q|X%d2>- z(Ywt>3*U~od1dO?$x9JBJ?x#F~ zrE@`bO@T&ov=cSzQcmf_qT>KgFnKQTEd#9yHImYM8rRZ7>=XVChlTkGri9~KkCi$f zt=7B#XKzTvnq+yy8~Hui1{T7vwCe-=)&z%jAN6c{PqR9&PPlh3zUypf!r|0-pgJeX zujQ1fK9y04r~d-7b_drd+8~IjHzDoz<<4WRnwA%}zY)It+HsMYrr(5fsntqzBl>yV z3LP3-1qeYqZU9L*kv70Vji=&bi=#HJDLk<_gvl!LkA#a1lC`SuJjJTq_8cFlK>&q! zTmHygSvB4=Ps_^_t0Ch6^g0985@v1_{;MB@ReGAupl`|{#bqtbn#wPE)`%2N2z)MJ z+v}RWS-tWl`p2;-Gx#QbWb$mdoZDS5tj#;<)#@`W}Zaq!N_QbwikCxJH8IsdQ7xQoPv zs+|FoiFbLY+#4BuOi$NW>v!81xgZKB{+}umqs;Z28drEL>H9)*-4^T)7i%;-3ir|e z+)fPz5=vKAEI)r`Ke9S5FsJFIHF)gfiSUN6%{|AWCT2VCXAR>{M-tCI_l#MFp5I&< zy5G(?KTb8TgSL0{JR&6M5n!?&jh9m z)SlT=W!!*Q>R`se7E#&hOYDPe=4t)P)k7^6U`??G7D;;OVMm7?^1aSSZKrAvvYT!+ zx71sCYpnUM5KP}*s7@DW8)Os$4skuzzWTaTa01}63YxrR4h&?*4EVnjEpm?b00&{H zrR0R$Mvk34VZs{xPSulkab`V9VSU%xt932WlDWFiTuH&OJk4t8n5Ex2%2~w^L?5-v z?f%|Ux|dSK@b>e&ySuS!OO@U*+^%ZNNyXx6APIp0B0Ng9Hd^f^CB4198z(0bfP*n0 zz`XviRrvzD#h_OF*%!$cK`k(J$x2QsVZZ)?UNU9!QBR{I6ItuyWm)l>BGxd&%fHuJ z)W4{Xmu-XjtJ~hQYCotAA{?H|UYbm14$C!GtgT)y?8=q~Xd?)dE`Xz%b2wia!ub>{zoLf4}p{qG<7iglK`a`{m9F+t;hL9YMTC~n{V*Fl-U zcb**lU!t&umoER$ul%=>Y5lCH?W_22CwjNy>Hj|lzs^bjpZ|>3&mVZM^#AQw{sS>S z@_pl_@%i68XUW=~Hhw^*aOo2Ik5}o0OJF$|Eu}l&{96{?Nvi+e-rhf%bJIfzx`<|- zZ7TB>8Gq(J)YJHCh&Wx3@bB~7nGEAq7fgbXn@-rj<6`JfEJ3@!DS!MQ=l=h{wua~= zsRaKYP;`XdwbuH1uBWl~db1{O7Ela22gDz*pvr|9=H}*ru6ZxO=;C(R zcmt@h3|h$j&Nb^1IK7+XaKwUpQSip>Q$gN59A6LlL|ur@PCaihY1jU zKxbUGtqM?^1~!Zzqh4bao4LH%a8mU1up#qbAD9QH{mL+)Qx`p8fxNmk3$Sfyu-5@}~$& znV>&%l4h%Cxmf#F3S32DHZo<}xr!j}&rXLV=HP|VaNDmDSg+ya!Y|xWjzd&_E#Uy_ z7g}wxd%5`fg(a1uUoT2hhe~?|#)aHX&WB4)Usv8*gp)=JJ@k!t!x|zBdaS=@)OaHb zZo1GQ`hSHgLJs>1}8bw>@MyaX1cX5*>c(!RaI;VC)Lz<|)2&ca{j@ zD)~8~)sxOPJ1^*f5NXHX4}clY`PuQtA!)gnK+)U%$37<*sw?6CL(_vO@+Se{cuRI) zj3rSP<#Y*z6j05f*hRD|Q7o+r;W)XbFV`ahG$g3Y6?zu8HeNNI$}}lPRVm`3_A~FSsVDhm6LxrScv zt$(Q>wL71B-6Z+okeA)_R~R5htN~<)<@&dH*c^$^C}yK`0seZ>Cwp$tIk%vd5|q|^ z7&~_Eao4B#%2hz;Tr0!1x@4)t$OYT$uDN#m`VuO%3;ZFro3MTY6eH7koc5-RvB7|& z1tG7=6Wn68Wf#!CO@k1B@w_?Oe*pspfU6fS9OR`|?^M8{=KOv)qsr}6pB+!`!6|#Z zACTD_NMs@g02Nh=`Way8XgXgqr)`Q@iga!zO{ji(KKSKXx6wKHpDucfhYJAN27D5X z0Wjb{jlTQKU9#8#{aff&FST@ByYYdlGAh9rqj^@0TeL?kFRd9-RcHxVEzUC0{OFnJ%NG>lsoQ%H){d(0ML71A$ ziehkw88C?Pz2|CGN?I}x7KJLS%N9U_@;2(@KcYY@`aN!w<16e){k0|^w*HgY^wI3b z=qh2j*v2qK;msnWgS_N|De0L}eX;K2ceGq(om(iAIJ3_>Wf^TdiafxYS$mpRb*4g% zsx-pAAk9^*Ied@)zEDSFkv@B$>w{Qw2zfaSceCq}d)mtX^7lTuEK%V40R`Mv?qD`9 z=lkV>*EuCRA@mwPs>hxrF4te~ZxK-AJFvpBP}-Ypd?FNdf;a_}rMt8*_8Z4b3WY+Z zlDcJwq;t@%dJpbFnR`^Z)QjJWhkPiLF%8?J;q=gpWFgNa}I#_YaCqqlTFe}fa&A}59yk`vAPON1`aSlzz6=+ph; z?cZ0GKr*xwxcg_68fllzYs@5Q&@l8DQd^F2^0$)o*0e2u6KxdBzB+44maGm#^y8}x zeu|6p>p=%yL62w<%q(VvijPp-rK3$4j;&Ev7CP(T%!PMrG1$v5Ep4AC@@{tfX3@C*j^UKLNNP<&Dw8t$+EE3ppqy}YtR?!Rn zBYWL4EjB}R-Hle@EvlSxAP7%9%*KT0(F%n(Vr-2i#6wWIR+5_)(m?OKZ|N?K~(#&cwc-w-3DGG0=<1;e=eb=m=Y=k_76N^wF2uh4t*mAb=E z?A7Gw?^M!?rYT%r@%kk`iE0g~VkeI3xW1-m;4lnVyT^UOB7gQtoBd+R2* zNkGo%%A7TMnD*teIqBr^aH!s4b8o4EjYkpTR7#BFgSKf`AO$R%u6nv?lK7diRZKtcgTDdTx^_z4U;;s8-W|AA3reW?`x z0iWx4DklouaiNN&2`f7xUrfExYYPS{iQr%$S#Q3yi&btuzsgGLM$ zFMh`5MxfcmUh$bSCvjS@NjzeENQ%*b=s1~8i&SB~om92JAev^G%JJssJzrVc2eb3> z49lf!<7Z6^Pm=Kx4Wx~%jihP&w;p!jB=eT7zfF$p7L zO}9)=$!kvaSd77yMo2LeaT@sxa?D}^q?Y6C%(y_p=+`~+db`h7QvY5gLA%%cHBwC7 zSDspz^q%zB*l_QJT;j|6c9n~)Uq9=eQG~?=_Hm1 z+`d#Uq7cCRvZvrRRl}l#{cKdV)Yp>o85^^2$!FEbz3k=c(TCaR9u{1W8KJ>wFL*K? zw%Yg7xe^b4{n7CW9pb}7t=E($60cFGuQ#sOG%)#or#05&f*rj9dA2O$Q=4mcd<>0) zQ%{2$+jsC?vcKAn1H-k!f`U7*)!kuY|q;q^IXp=()P z;wKvJH%2O$Dg6Wve@UN^D~=+|U~<9_ldRhiZ1zZ0lE79hvNV-1t*A9@Mj7lSWD%^F z8yw_;!zoJxq`C9o+Kv&;r4%YtUPFUax@vKZvrAVW9jIh!2FMxkUh`I!^cF}?dH0eI zslDqeH4GX&&m6qu{qIx;nbCG%j3R>wm*uuivxR1-(*`IWEulME z<2fgH^U1(n@sh$VH_L{&Ar1*275;4P$R!Y>CA+WA!NUr!5;0Y(1A-KKb|~7zZCIyjn}XP(6muKwh0*SMF^7 zV=4%)667)Frm7%#yc9OKH%A}6?%hTHijxN;=#5Rx&GeZiZ5|g_1VlJprKASO89>y-UEW{7O?P z0835Evpq(VgNGuYTe|E+J~~SNa*bWs7pap2VEEh`OrD=5t4u`>cFfXuM+w7NSg4ED zUH*Q-jVs2K1i;|CXy){1n^~Lh-Z#n`E?>9~l|mYPEi)8qfm6cTI;G%+g*$Y+`?~Y# z%AoI18)e5o^!#vja!vc8C__3LMO@L>hx;-V(d~ND7=tCrb=?jo+;HIlXJFYz$1{n$N1TG)EcezP0 zKE(Ypl@zp?cZ<0p7C$KYsx{MiDw&=xwbUFQ*Og$L@LYCZ@QXj6818_VLu#p(P0s;g zEI^-ZBi2=`sQwj3ky^@BH%1w8LlPtbhY))FhYq7qXU48Uf~$+?;u1A9ppH>YW~s}f za`*i0+Qn+V=8{!&z+=T%>vgS>p6ib0JqtKPabic;1aSDL{TH`g{*LpM8b@a@+Mn^L=I)nABE}6(VdMi?Xm>Q2N~%ZGXL!KS)I8e3R!<9yc7pvspQI2#GuFWxa_T7 zRVVFfj;3=fOh3c}JW0)xpZ9m_XW_D|tF}MPX=ls&X9fBkouTi8rghFTwX3l6da0#uAyP##{@%EaJm&$?Xm$&(e|DK4r(g$1&4ZZbMe zWYbvAz0vgUIEz(*zE37}TMA3d5=r_N8FPOn`7g|$o96hgs5t8&vZ@8gRYSLtZ=KHY zWdamw6Qk>Vc(TfPYZYi5?@3*h|DaUq{;)btfgba2*T8gS8l1y*uA4r!m=IFpW7!$& zl2WDXU#JC?yRCt+YCm z+~cS826T)x2qfQKkkl?frCRxYo?XUB2tIx?*ycS7FPCEh@Y9}CgqKode0dzJA=Habsc&x z+qM^9{{n8t6YhOQo*YQ4?n?B2Y%8XyS5w3|fhjrvlXz1Zcy?c^z zwvX$q-YAT#_TtOt1Ti*Dw_zSCK-8;`Eo5NtT4vDO-{E~kl^rxOhvv=%_9{dF;i5wdLQky zus6G^Ia1rMQ%0H@>r*Ni``5!8ABA&TpL6oGz8i=tWeZ;T_5d1&pPmqVCF2wya5d$D{4>!k;jihj90XSa(5Vh+izb6(Up&Y=t zTix^2M=T5lX^h3inMB)3bDn;YW-m7jP?;$TC^8a>;k50HGZg%s=(q-#lE5$?6cFvP z^=`su{s$p@KfxV25*2rND%-$&DfRt<-~pfrR(=(+y{nO}Nc%e!;PuCu?(YZH5oL*; zCV17jW3$b+p5q%1bZmJC)$8NgAvr%z!FgJ})TFRUnT0;cL<;V7 zpKCV|`tW&-cpq0LlgKT$Gq;}Uuu-N6$>`bK62h_zWLK@Fr6_!6jre&vsIDLM&~Jz& zcJ?Endp=259^|M`;q#sIBlEQF=*{{sS{^3o)pjRZu6a8D@{N1iT5RH} zoZ*#)fXK!M>Q8_Qfb3S54E^0$pKUXPGV;fAhb>Fnx(-^mBNDsI;o#=fvpjOGr$MF? zXNOnK`4GX$vYqP3LeiQb}$xiyAi!TBLSlLhqXEWCTYjRxrTzLAO5J);6C<{FI6>+ zn;J^^+!-^r2<}6}>CBi)__$8Yj*Yea%jo%bgYm?hrboSjJunLjkzEH`2T zeH-E`!;V*3Sy?!|&eZVm34G_NoVHmO<5@sg2kr~(WwzWv;dG@XTH0Xs=h6B)ys%fZ z_mH|x2`D-$+4oQpGGJ7>iEqyYa1eNfX|r zi3++K&)1%^hdjwld1!{uE5vYsa2zjC)y;x#`Q%XY{aB|3&2YLxQdw6QC(?N$fQa?t zNldZkByegnwHucVUh$S7LM6R7$439x^MzKk7N>#o-9odSGZ_m%#+YZA7x7P1vdu_$8SW*;x6*_z)+l5)BK_ z8JAh{i)0RZ6Rhtp1ZM6EEd&OScYEjWfS-S%cRS#pRv)HI(l;`h-r#NS_+Vef!L)Tp z!4Gp9bNs;9OYE3(EFJCkqFXNdA219gbdW4sY zeM@dPZ+Dws?l)2!J!g+UDbwp`POUfPd=KL0k=Zs@TW#nT*UYF|YBOX*1V6=YpwNw3 ziQA`DH94F~JerRiBqoYa)lCaJ2F$nItYzSwE}(`{N%6^>ghY~<&R1XE;$(=f@jrQD zU>;=g*_D>GF%YNl1DX6xeXkCb4}t*OuLZrTxFtH5XanW+QYdAC)KW%|0vLJX$I|mx z4q#Z4tOfw+`W#gKLL>s-CaruWrdW3zF*OT9w zUj}RjELgi4`VDM`ZwH%x>+2$tQeT&I-Y>lC)1?`=lSEuVdmJV`zKbxvTl`_KYN<-z zqjP%H^82g(T4(enoG!n|FOVnJxQDO~V+M0Ze8Z0|ewfu&FJI!k*xh)G@YmzO0yvVbcV;@p6@LD$gX*>cX>N&!;@F?yqnpc|`kQa2ol}e}>Iqu=J^pFU zfwTxu{SI?DPTuC+?xqRt$-cS340AZA{($Lq*eH~}5~a?Lv#>yVJQ4B5ajVW1-_21y z8vXX7b@L=K-L5TyT*Aj-23c2l58!FHb;=tctjz>}oU$98BD|srO0=nR)bLS(fMPY% z%Qf;w_-JO1v%RnyZZlkPQ_KDrz+YUJW~c3!;8vK}BTiS@cWG&1yr@-@Yj8B09OT8t z3e{4o)F{DwcQE2h+NIVlVSu>Upw1{?yeH>Z(&)c=lgKfXGjK+IzDkW&7W@r-nN9L- z6M^%^hSFXGDGW519KX*`Y{Py&4~oeKzvsRs4k(e7Le^jcgqMnx@r}O`G&)5HFrI}$ zx|+rhhfc68A8QH8-FyyR$``cczBhX(pR6?ZEvF_Vocq_mVT82Gc5Fo8N4{Wx0(zB0 z)^z1s0otWzH%Ie8t3D8jOIX~>=1b22q`q*b;$J{VTvwMBbrDef04#{HXUg;*#RrRJ zDYLC-%bxBwBdhIKA>RT%Xz`<=pqK)EfUD!hTcIY}zK=u^0HQo$@P@a5S8uioo5N0a)(biUd~PhhaP3< zIErNFwYN)3FnmC;`o!Qv$)30Il3_CBTdLw8kz3@U>0``}n5<1dcF&++_wh`5nzz41 zo|rCGB(|x3-N@)Yzk4PtzHO!H?MF;Pew)*pU`uw*0_NoZYlmN$$aI1J%Odi)!U7E@ z=k$}NFdsW943Olzg377G^*$QmY#K)+Y`G*McUa$iu7x`ON-I|aInFYs*KVhe3!Z?y zfBS?#-W;uO73Ixee7Z|u>K~UX=6R{wJViqoTMlo};ri2W3(_B?sRM12U+<(g(eTU` z`m=EU+HxYXnDnWtJUZ!zHA}u9;AieR{A)jAH+u3oOIrFZdoZp@ZKmkuZtHsc8RhZB z=@$xZ3`U~lUSZhpNPw@XzixXf#oPac z&pKMY*$CmoG_C10Cj{i>?o4*cw%jV_G;Vx93vf4|W^5_z6!a_Hi4^nT=3hDfunaQ& z^Y;Fqrv;&`I-#urRUV6o***WpvB5nC$wh!{vsu*u3oWnG`gw zd$k*B#EKWyZ(AKHn_xOS=w)&71gIp8_}DcwpJLdl{(7n@*-bwJdAnc4@WmJe>WmVI zE+Z>w=w>(oNp(+(dhh(?wAr70t_~brJ5Rl+n|b%u-p2MtY|wzPQ+wX74;v5y*+YaZ zi>M7SmkYDCTo2o4)D}y8DW~mp{b*fiwZm=UK~9d3DKHlcKdkHDo_IrrT?zPE((#io zsRffH@m(!bPD6b|c&1}Ag%a{ZBXKDTPOR<&%kf;sb zdF2-A;TwDLH_~a?U^(qC;{&^c+-^?zC`U>i*d2KwC*9V&PSTMEIeccI^Z7&eqhEex zRs(21u%`_v2%7CMtyt^Ydv8{EWQS3%8-oNDQ}mAB@z$PjTfmky#T8NtFAgOAC06g$ zW7Fe&du6y*(h*mpO)C%?l!(ZYI!kWh7B$Vc`XL?Fdk+Bv(^{LHj&`;;>0{)2pv$6U z3vBF)@K;ursVD7V64?~q$x`>-SP4cOPQ2nlB2r;7UvD28A?3I4CdiSDE46oSr)Lyt zy3<=_>E~RkrfxlL(n=?UK1~*-=*e+;ZQj9d$xlzqV4$;821i*MkppI0U-;W7)+m#W zhx2_?s=@s_eD!#I-MCr&x>9mz=2(RpM~Z)q8@oD5LZQKXKd+}v#uAo)> zyD?(>*5Y8g69+qzlYGjIrS7@qhvjU{9S43e5!<|#E*nMu9|7=tm*o^JCEj?4%IMG5cx~S&RAhX1AmL=q)Q!{_8`r?7qQKtOuRuXgjhTNa=?OwZ51p^vOuMzVOb zy1{4gs-N2>i$Vig<_97Pjm9fYTI8^I;FT5=3sFm&bKke)9@kh+WAchf_`+u?7Oda+ zXyBC;ktLGZqO7hhwcjC>pO}&^%3IZ#f*IQ1KGRmwmV3@4!+YbwDO88k=Tk`gcDhQle6y+PbUUkLZLpKW zER^lV1VUK~V&>=+y*lF&JG>ils;Fa6278sk%A!v0*N`dNVq1J(oZ-kbQ>0@--G(C2sjJJe;ulSon*jPZdrCIP>2^C~0g`tTFJW88hOkZD5&e{X&nF)5i3kU!1}lUhG7 z^4zPvS+Uq-5k-S^7{^QI!65``59?FfzC-+O(ZKhLv5n_H13$BYI!Jo^0zL& z!#Lbp+ctj=;x;gwTuI#39>W$ygf5;+<%{AhlbR8~QIq>|R_~zd^xOy+D%hRu>zLP- z39SJM_DPE-p{+n5HOz@VOmts!Mq;(-ue68U;Am~b*Pc`)vR)z(MUMozU&Ayq1gw?5 zStKBu3JFTAxO~iyjvuFTsz1?}lqS0F)jQSX`GM<@A5-D>dg5^2mS8S^@nBKD|^u3uAY2T zQNIdZS1KJqgNU)?f2=X5kK>xjzAq=9tJjBH$U%LjHJfGHYF~oWvYQLq)5SRAKTtsW z>08u03kcW<#Ft~rUTH=_W>2;&WpYLLlW`_v-b;V5!z3>0^#NJe_PAq(oJ?5_0*q*Q z(}{4+Jv*`86$1FEiz=j-?4HEEq8|Ad$ z;*4b+hRt!a>%*f)2QQZv+2TYkfitx82F-Xd+H-}+5H$38>!kgK4N0(GK5V0Q+m(0R z8GW5mq=vLZrxSU1XAl@lVs@Y!U2h34ZSu5Rgm`QY0y&vHAPuW*uKYGgSa3Iy`hm?1 zYptGX$&aiwIoRbJJ1`lOm7`W^WjPA)5N%t(W55d2=Ccb@sa8Gz!(r_LD(*UgWdp(N$TNf^vaRk(Eo1S0jTczd$p{0@7-6ZfI-c@&JZ#5VrQ-Zt3CXFD3Kl%q>ub}$^6LV>QKT& zF?Af#P4G$J?Y8@R-65a?FjEEXHQByt@@TzFpx%_y%vKr(Y9Ez&`sHxxett)emsOaSt^0d^r zxw!i|>gbPtQ=-k^q%)(MGPe$oVwuWgz;g4Nk}wNrcKoG=-uOG5TbG+b+JV)(wiO#C zmF9QWt<9NzF>qZQGa7(s6$k5H;1oF&0DvzLbC2OMj3QO}=8nAp;OV@zqbA_1 z&ldq==bbh*6S;T6Sr0kXRXqLxz4mtwoN(R;z2cb>th|BVlBrzYTUd>8=P^d%rNa>; z=`-UJ&J}zz5aD^mM8%GP(BqtEOYE@P=)H~YPF6|;X>6MWFV{D~xSk1xWwNa@{@LX@ zPHE}9E{|8w0gaxBEh`-LYt?c9AQt&7fvsUbTiMfN`S4AP__JjBPE$#N@@ti5{Jw|b z1K+9k`sk+R7LynZ`jCU)V3H?>*GC;S-*n9p_Su%@mHX8(a*ppprc&b%UWrU|HNdBT zIgBjZOJ24Sj4`4gy&x((rh`vp_@)_V{y9#v!4<-ELH3|;mv`06zrB_)m=GVwY{;ry zq>?uJ!zo+8@&PEk_eD%K8IMg5^w7V@oSkdbLs2g+>E>qI_+hn!0l|PhImFt|>xPkL%zHX%spIqMK4ZAyS|5eiZl~#)jNcW#q z@E@Ts4GmoAf0e?1(YcoY%UfRH@1=l$Zt@w90k+rRzoUYsJJ0v!|Ce&ww`J6)K7{`@ zZTwq>Gh9UdKb&6de?ZFX4gQIk_r3bfTmBz6(FBT-ne5hui&RS`8|}9+d0ZJ36coy} zz0TIVQ7IKSYul96fnK4vZf-rG;)peqe0+ho_q>-jUfAx-sr?mz+3vwCoP1e~Wd*75 z-5L$P^m^g_vo8YLU$$Y>ngRgtSKLz&hr_?U3v6=!x1DHv-M;*uS2*5lF6(@D=PQ|C zjsAc_X1hIvg-)j(2$UXd^hSXCA_+@0Yxi@F>2+KBfP!b;dv5=KQ712#2E;*txtlS- zF#{D$K0pkF88m|XVkrgSi_Emiv9Z4a3c5f(v(v)6{I5L<^kAa&$)%pE9dJk}Dz&nd zwD^Ch=s+CvjPqqvB>_CaY&@$Q*z#XA&ygY_R|g=72T&xuMp$RH*aM)Iy7%t>|H9cj9h5MncZQ8nX0CON9W|ZLd2x+a+{i_tbFU=pJR;v8}V=)<9 z_WOI_9NllMLuvqYjM@F#64+yKbMrm5=fCvAm(zj&sul&RMw7O(va+GMd1G@^7)W;0 ztgP+rebA3f!&)!G{pa=lu?0PbTrLmrDuu`8hy+X{qXBg=bbwrcdRS_701E2;9Ck)H z5C8Szse+p1Mx2X{GiAZflTPf6rBt%yE7xvh0zwM4T5T%Dsx{`*`+vI${(0a3ABsQ@ zitYJW{+BoTS7ht1aAAt_6UzUm1UzCwSEC8o9{wn}N}mpX+>S@5K4zEnAK1C|&#uyd z)-m1}>^xUM#s2c-n^GIprCb^^fFozcTSBF-tTD9&4rqwFnOj40afIGa}?ixF!?mywqHHf6Hn~W(=o!nF4U^2pjH#&k_ zmozF^Cz;wxEh0gu`2`oZk>`ItxOgv#-U9gru(`IT@5EwP(P31y=NMnOQ^uQ_f|O}T ztmRZm1nO*i1&1SPiguX?AitKcp1bbBmcv<$= zqmvV?tLztSzQ0`^LDtZ=Na*qw1}Oux#E9Un{{8l#2ZKrKIF$sdFHxndpA_%mYHn!n zBX&RpYtz-71513S1Uzf~1F1YuPVTCK`aTmHA|d0c6w?(%fG2?gsI1a#-JZw>z}~e- z*1@-5g<4TtDJZ`Y78K|qU0kNe;0@uRdK>RGJ6-uwv~U3wEqGY3+>IBx~Y689*ph`P75>DT3%mjS9rjubD32X18Rbkx#U&aV8)*A$f^r^MK)ll zP^B7oJoHg2Z4zJR8Cz|WIA2&DPvtaDEFC8=(5w;IK8QH8BcbH3i$0$%9tOSYxOl(C z8uqth8G)WR8S)f;iOl3cP3lXO@EPnGK>rXdXbf9v2st4kC7JXRhaoFV?2LT(T0Bsu zLW4{%=;0-95F$o@s?(13^`>8TM`5{78TIajIkW`OrkLD?ovWDKPaSdlY50uP-$nbq1}V13zK0AX^Vl>20($un)h(Ez}g*MDpfP4#3!}(`RTLMEz5a zWg#9Um-Qm1ugx95htNhs$u@3+HM+zHugjn2-eFLJSNkSrTzGj!2J5_6*o5^lNvxje z7Sv%9URrlZFmg=i_-sePE*tO>1%FGP6O~l*52F(mB@AL@g(X(7Vy^ApG+dCfh$G}7xNYA?{Vso)yEwo6 zGbdpXo6rKY_3+mKcFeCXI*~xXik9P!=4N9g#?;a6{;Z?>8P9fNsaxUGTKrr`v2(aK zP(dK}(f*uCVJ&<)HU@**=U~pvGy?at*%s4gw^Zid0?=TB=WdHe$%A9%3bEzF6DLxP z0jpvf?Tlp``6xHT43`}k(DGhOuM(iUBvu-demgv8Q7Gcdls}0pn@6+Hd7b?D{fd3nsF`x_g-7r?UjK?y>Y(9+ zFo!jJ4H3XuY0)KLnG0wu<5ok4zdWbBwf~=D-v;)sh=<~myR<~2L+?JH^}{&|Jm7|P?PX?v4@gsJ4HYJBd! zoF=yD+rVe--#F9(M^V)n=`FnIxHX;oRTm2XghOP&vsbo+KHFCR)4*(bU(In0N5YJY zpq&3{*LW_=;llS}I4f$;QOL;6qlxBaD)cIn#0j_8-21D{?s0k} zB^j#4O%IIx7YK>7-7cmu(L&Y^pj{rQb);0GtjM*=cGd{5r%99ND2h#2C!63^wN!?@ zoCS|^x#t<4W#`yatZg=F4(CtCUfwNkEW?UhtTy_Dl2b@uC2p|3VM66!WWUdZlanO%luS+K0Xyg%r$}GA8#ti%u`lH< zy?xg8KPfo?gns{L(()}|A0Bfolh=G5!bsAws8}^lc`Lk#&U@lA^ry=*Ya5qD5ztt5dINFFn|A zPn{Y$oUi3sEv}w{i3A7wr;0sJ7HkASnI0fEf(7!@prB%_C4>c(qo~#B`0h4QfK**i zp3HNpmQbUn4+%M$!_#TwWes5ADCkRvqF&#!Y!Bot^%r(xXwg?kpY+yppgw2l)2$n= zzwpy zD>t^-((R6Jq|(REqkkt$r{90@f@+8#3ZWxg;|CY2=)QSUN@MvzFF~aYE}Py}6PShR=LvQTWvx984IjbaBCp zG&`#GJZ(bUr?zXNo%!Vzi94dRK|DXNn?;f&^2MUb^i&mURIwCMl-~2&GxE{`j-xmN zgsA0OBi4<5$!mwtV0S<+KSOF9`GO%B7wlmfPpLp3IT1!xX?zYFy%BA>4K_lBO&N$M z-Rk=kvKcG%Bhs9OBd*RF6wARK^DwKIgI|w}gm5!V=g;KroikrW=;Tm60_0qKeqzR| z6mzMDV^HWd^8oB)3TH~@=U&lX`?F0_s_D|(iSydzX`%{~&wvk$344T%wVs>T1?Pq6 zu#0#q^M+6ixp(P=DT-2q6GxX5CnZ-}vw#|f`U_E?JbL#E@V`1q4+s1LQl=d=G*{)q zMmdOp5z?1W39zGWUtqi?15nf=whUMXFK(_225V<)Ul9A zop^VLntbreKlO~GLia5dYguP-|DbrVLj{^9U{l*fQ%Fujdr>HcL^y6LA6tRH7%GR4 z!kmM&@Osp$ELnQn2r(EQYrQv&WN$W|2JYYr9sI^uO@yMHUZ8YD)3^^E`t9q$mKUY= zJ=2e$(0#nyQk(}xcth7^O);UU!h$EJ2gl5WF?{`eCnq`=lyYS`g`eFkLWtH#;>BjAkqKL(r|aQAum#N%M2twq&y$XD4;PR(I&HR9~( zzFJpf43f0U_tbvXy{rt1gph1p)W<8?_kT>WO!0AIfqv^Sf5?s0MFi*^yG$+! zxnc3)j3-8B{JFerRy(mh>jN(!n#q-QHrm;_WFGt+wNs?#tUC$>3j03DHhM-; zq2(-99r72NJ&Gl+*3n2{l%Z&svPXrm8CFetE7~lHB{+*pZXf%Cenj-G6w%4WpEv>& z%3IVSiP*3@usu0)xksDxAf8t3k4Gum(G9n)i>`88I-)Yobfb825*C8xpaXKDh6?IF z#yD@pf2Zi%7bBeyh2sYoU_t*mM8CBvxW4ZDdm1e<-6`FXq!Dh5X#H5I`1%79968AA z{sQrv7$VX;>AlhQGyYF_SXRstKm|xKXBTJ7)Y>r@P{VeCG zPBMRC{Iqy$acihrllVJZesSlCK(Dp8lsKV)GY3uA|FwK0_oTiwIjT9iZ+)umPk0;O z^m2CYS$d<*KYRtsMJ}2c?wd8$ChnG8(sj88Y3yWkFf95Adbw5kGSXKByA;BfV&F=ADerx zxVE+en`Lm7u8?Bg;&sE_7(?sEGY}J5v?bGSag72dV2qBtW6ziFtkxqWz zO_$)}=tXw@G<~9R7@wobkMOvgugS>>5q_-taH7C_hChw+4X9lEj^t9}G=V;1J)#O7 z|L1DKWbY1*A{KT%dqbUf>*mstU5>r#-URgP!N4-9KKwKpsbHq$UAo*6%&!%dXAa?a zP>s!ZC*|G(=t2vi#Nt|-J>&Hl%lN4LI6KNHnA~)7B-Nvxm1sOu*d3DRKIhm~uC$DI zdPdS!Mdn<(hIn+^?#RO0m5EU9T_87FK`McvdH_GZasu6uosa6l)nTlLcngh^;lxG@pyi zkx6DC{mH%zRBwNotRjU}Fepag3MA3ul=;0&q(#+ev2}5Fs63@|4QM?1N;f(7@3Q7f zO_G$!V9jd?>gtkL=mBHLr)f`0fEtx#N6^H16ifc;droSU%$s`!e!{9xK^zpD07ZbM zfh?Qly*VY)2nS!}#=)QC?cnC*1MbqULEAd!lbn{Gmg>WYflDxG3w6;*?d}~~zXk(F zd)WP5>AnS0P<1LG>@+_Y-v~-;(jjNjaep0oKI-h4Fru{;g+U#3Z+W3W`gkR;Sl7y( z;Mnm@CkXZo2WZjLgYxa}BH4VQ{7Hp8X)M48YlG%qHb~f4n5t4dMlzRelo7BRknTx1 z$pG-(ysMN@X}WB)2ovdf4!@U@(7WHH$9nC(HEA(-h7hRj6IP_p>~y-I;X{?n#HEO- zP1N2#QW@s`Mb3ybD*L%E(8L!WP0!yk1T)c&>pa0wdiL~I=U6`<8^#XFxo0z@nP7Q!bzI?i)woe!st!i@!460Z;ESj$UbmM2^ za5T5YUUV-7?w`A+vdS*e!MU+%7jap8^+75jFTZy*@wFzcHL>VtELK=0d#0d+8A1gr z!fr+*<~bXJgOSH`aK1qDyVw%tXg&nU{4h!+Kl!q#qp^K@AsgC2JuuzAu<%zHiq&H&c^YsPv%8@s(Z5pEkdDU!rdZhD;jTJnhOW{*$c%&Y=#C$Xfi zGGD0`5`Aa``11`Zs6FE}4SM+GWl z_TU2?oDonN;&?b01&}doo12@bCzk9vuaACsnnXE!^fEqJH6#_V6saXqAh^B82v33e zvpx}*^h)m*)${tKvbMQ)kI8}(l zE!g3%dK{~QRj|?e%jeh++nX}E7s8h)`5l+`8!o+z`&f8w96VPPPqW=p4j zS+Z|H*@5bQ^(Ea|RrIN|tb*pKdZmX`z*CcD5Tmq;2^1%i*x+62vTr1(CxVe2C>6wG zqj3Sh0B-PbjWehdAcHJ_~ak$*B-r)W}_xrnM#BzMzc}t$vYu`J2HL>dj>$DUl?So zhFNMBD#i6u+NyG)tuz^cd@tE!@!PCn{W4dnA6tfvEq5%tTQ-R}&v5_IlsAXhN>3dl zWyubnpZmav=@t^n7L1qVa7&IlwG7EF@Kkr(M z8XVxDJWpS+{}y$LOEsoV1`)B$2sRt8{qlf6XBXzmVMz;NUuizh2?EiUwc}&i zG#;#w10ap`2lyLElW}-Ga5(Kx+1s}x|A9GtpsTL|256n;{m_+scWOz7-*qsDC z-tSSd6$k@p5kPWHPF`~Hx(IglsZg*(aXvW6H;HN>+Hm$|yJL-WUL;V7KTLAqx7!kI zCTBI{_(<6NqO8v)0-k0)*vMH?IGKcwcl?E^Nbf8IMVhW5c$acU3h0h0_BH=MM%T*Y z9Af_*;5l3J>m8azuoTIqvS=#;aA={EkMeyU;hP5PZveTZM!|48RwDswx#nYG5IN*L zIT9B=NWtdIW2fQn{LXKS8J9`Y<@YdOVn*4Qiy(&=)lBy62)Z)VpIo-Nf@Wz(EhN$G z9mmfQV+>A`mQ%o)o>Tx9jfLac%U-URcchdlK#IJ9+;FaauYQ%9vcl7F_gTlzQ&fD+ zxQMMZJUJhy5^+IWy!GN^%*r>W@+}QEW6fs?aDQs;btG4@-E#qQ&`w!aYs{w(MfV-T zfVnp*4-PHh-1LpxB+oY|)yi~ItR-J6HFHZB$i(mo@Y^=i)Sj~%_v#-kP^rkh_SyV! z$b~Gosa2cdnHobcxaAf+j^D$ttpU9CS5Ded8NU0HcB5xq>Ddmy@fvfHfv3mcvgy{D z4X-#Fn@}t!LVwjg0bXcq6_|4rjuAXEe!4cuR5opRZathF@qe9U3U0< z^oD`&d%unmUsdBS=6FGG@3?f83;=hwLhJ{Ut6#cf#w7}uvqNHLIl3z!^Lh&Hoi5eN z^+Wq^OR)(8j3fhr@qimH=aWa@`>iW9#UDlG+w((Pb`7KNvW3xKQveV9r&Mu5DgW+Jzh!xImf&KOiH4DClJG z?1@IV!;ihblI7|}032=*`0L(4mNK;&X8~=lMZ$)l=3;}1OSbwJvZc<~=cK4SPt89` z%VFg>2r@P}wZ#E~J|Yun3l}gWV-6s z+uih9?d`3kD~n>pd|7J5Q8kY4B9ef04|J&>;8}>z#B~MSGuOjx6_5D^ik!3hLeqF4 z2PA}kUgD!M*%EKRVw1{6EUI#?yjk?@4Vv*=P{;$?N$WBdIq^Ex#FMX^wi!pSZOjE0 z23^J`{WSTeaIp-U?wAh!rW>77FEpn?7#Vl77D``oI_e{8sMrP-k7o3zvCeEW*2~Hd zBx&B&4yI&&K1-_zByJbb$DWTyZcTZP0-N(o;)sopGfpsp?w7F*7?ALog&ck0#WybULfq z7TUN}b8mJ9s=$1<2a_P;cmOTATifkMbg~Eyh!jSiZbYzMm?p7{t#9{CLcgAvOj)df z&i-`tq4%w6PGXQ>@7#pFo zna)+TqskwQ{Pdk1sp@n@Cl&p1D}+O(SY%*3lrO790Vr$XfmqBKB~SGtB@kvaV8;D6}C%1uU|6nEp2I69;%iGP||IOP(r0k*KD|>~>G)gRgFKwwH0D&#Ny_O(dkG zXSbDLeE`K+YIRQl6s*>cj%223+VcK@1!dnl?EMxA7B*JZaRz)rJJ9K5Atv7pt?oAV9IxFaH_X`v{SK z^hKNW>dIiBFcSs=+%L{H=gc&n`5Bk}BOluH-Rj3?GbA8|*SAs(khG5heQ&i%YI_NEh`ZJtcwG|@sA$s$gj7NjE67LNO;2X zug0!PdPu8I8kq|@;og3BQM4tWD}lF6Z1*Ww3pd(bk2=)3VmHS?7{0F;EL5#BD+5P2 z*fafPc9$JD_K=IkM!P9n$u&9PLM@YzUq%?l=8(I+MUU@vKXhbz-L5cl=|$$g1j`ZIV(7L`;gYj4cwJE_!{Vv(%z&!fp0 zkA5&e4UM8OXacvZN5}jFqTNnE2d~Gg;q7&GGLVu+)tI5on~e4t|M{XAf!9UJ@Ns7( zRYJQJ+wb*qfR!ERE)zz$-k$@1;ydGgCcr{_kEsOZgI&;}dfcZVE|<(DiWJl(_%;a- zX`VBBSE2&eZKF4T6PTtQc)SX!W7onIajwoQKm2;7c^yTf6<{Ly)%2o`lF7B zlrE?m(D?m3K#XO%`udNEuh+atfBf`bjWbIx`lE!o2a^bnT8?mt`C(!UtP%Q3>JyPt0cD?o*}YYndg|b=Z$YR#m8^S z>>WOctg(J;t+ey!d{|h~9#`Ep%ee4ak_Hxjvu0COb@7&>9GSz-dDmv{C}-N58S*Z^lU=cJLP9Pj|< zD@;UqIfUkwToZb_Q#SIm#+qscdgZcsoSU~)`D&sD=N#)Uc&FK0D)LXBpRKHDklq{UJya{`_t}IilpC0ATST;j+(k- z^k;05N9lvUb@GUjyL_gCF$waA*^%#6_7mkma!+oQ*<|@^%c~YF#cUfl&7l2UU>e5@ zNIn85{K zy^40^?Sq6T=J2DQi^C21MWR83c{gRdF%O}iH;Lh6<|PwnGs|a}XE}L@d$j$|Cj+>; z^V5i(vfwE3_q$J@IGfppQ+r{SCtZoy2{vX*5P%dSy=n&?f8h$vm$2$&=H;I29K-AZ z@kz+YxkNjV5BzYD_Xq9I@HcGFiOCnej737czT_DfUpZ})VK~6y#aosud|$A?C^u3( zcd6Ygf*-(CrdH`)l<*$k5tq7WQ{5sw!y7-P>=I?WR(X&|c(G||Xcxuij0F@fVezH! z@?UGk4X@ z!sQe*&N{eUY}GGBQTF#kDs|Gj9obq~Mx(!+Hu~`Ybmw6EMN)npg4GC@HgHeBg7kkx zclsIobeGIq{Q;?U@LT{+x7j-Tg3kk-wrvyl(DWu1|Rm`gz%RHWxT=)FF)yU~VhyDEI3>bB)Zhc-&+S<==c> z2Q@l=fV$VLwY6NuSE;l74Y@~YbE5vF72Td9{KLJUpHH?-_VS^U8?C({P_b}xq49tQ zyFDzh(yBCv+0p*SXvma_E_T*+PPl3wA>z(|FqKbUlaW!duM4`>gRGBgGCFFkB!GkVB zc2$4pCPcb(a%V(z*r2peqmltOH+t43&CYxr(fWuJWXDecS$p^`Hy~%9+G?9f_ZUz) z1mfC~Of2U#r#+HHl6A%v!w};N-4jf78BNvNu{rPko=djnOR&o80_k=?u6fANwmq6c zn;B6zJ70qS>GbPIFFXFZL%T-5>|$qDe=>Z3ouLYg6?gXesqoD?bR zK9ZjWO1*)%7wng75;pUr6$j$$H~@OjyPvmzL*Qnf8pJdSTiB9UAy?Xxr_v9+IHfCs zWd@_QfET{n^CVSI$t_me``7^s&G;qY<%Tj&?F{T;zQtM!(TZ|Ltvp@1tHh zGPOpkNDLPL+lGRHEOJ!;SV=g+v&TmB_gzwc;X=?#sA+-y$8InFxktrsvJ1MUlA5~y zf8R?ESP_i&k3(!r)EoR`Bj^dMxu$<^_^+pO>1GD5B{Tc$mVZ6z<$%BMp6G4gcbOT| zxLMR|F%%th@{Xbft4ABwnR2Wo+S(X>6|KB?`Oe5C+YtiRg{g0fso3_?r(}Iqbg;At zUsgNiw@M$8s86prCjpD6DN^thxj(3)9o@6MtbMtbUe*p=R4W0Cw+Hg(o{d;rgKxt6*{%eE8{iEYPnx#47 zp#NJd2BLmOVbl0en_qhFtIotZ)jxWFIA-84{n>;7_xFy69h0gzD2|T*=Mi*^>RM(1 zu|~ibe!N_dKO~*s^%RPLfB-;YM8w74Co+Tb05a?Ic6<14MAQ!}e$?Pqd6+AaBZQ)6bz7z5r4 z&|xtF$vZZuiw)g8jTa>S_Y`XNJlXN#22P1$vyG$B2|;QH5jn|L>(Nx_-!WR^Ds-ED8a?8Nef`6alqGy#e5nh-RKjR z&70ff5z?EGtH3>fvA={j5~d+=nz};}21=g~o7h;0uGLgfHph7g*IrwSpbm8XWV%GA zcdr?nywXi`oXU@6?|gfrIvO%j{C;0jMm}#efRE_SQCzm^^L)&o>tIKXF~<~r^fEYC zfz5QIFz;emHDR41I@tQ5-L4g6_YD?Ckc*Ej=!)m}&hF-~Q@huNTJ7(`Wy7^^dlQ0) zLAE#7ei1zm&UWkfV7=DW;!AoIuYfPdT{keo^JHT*P1g9YlllP1Kt-xX(V~Zy zxtV)(V-vYcgO1-RD^f#i!xAAS%2|872wB8I>JQodVr;nhwhF$K>d(v6|!Hfi5^5+mGY-btsKaPMx1DkH$PEKRD$kQRplMdOAh~B6w%C zI-)}v=an?jX(#Jn76^HNYO`&stv2|2Vk*}hl}d3h0zOP-S>p4K+1l{lm`}|o2vaN2 zHqb<{5*z7k41|yPb6FNslH3>^IQAaOZTL_wtbDjUo5PdJY3Hh1O?7xM|NO#Rx@~>rC;Kj8R`%g z{R9Or+pdCo>Ps(JsmdQrPkySNqFQ6wVP2v%C5#5%8oh(9rFBMF+!%8wGMI!2N;^s# zzf9<&%Z0t3ex7r$WvfgROWT3n4v zzmoTpwts$ie4eY@Msryh`9sP}fQG{piPxE?ZCpn-X7Ryyk=lnVMap`VL2ovfymwD_CuckJ0C0a1q~jG?<33?X)?RHUqG2qH)N zqx@aoVuh*-_Ft*ZOR;*6o3h6&5N4H{h;-j9yAA9SN=dJawZYc8@x{*D8_hPbSJsby za$OvN$IN-naPL8gvC>@7AI=V28un{yk`QBtm zjEYr_(s}`iB@(wahU6=DHou?jeU=s%$9(*8t-lp7GF7|;Xs^b5i{&czS2~GN`XjWZjer z#8rQ;yIS}rC@_>M6V#(NYZ^YlOka6ZmK3079jLQWW=fw%L&@%5t$P{~zS zC27u5%6B1uSS*>w$&o%)I#aT}4KaAOVwa~1T56dv#O>wll24!!yDjS8eMmFV%Ep)N z%17q1{=AT^HukoS(DkcLwX3rpTX&tJOxDv%Y8H6^g!y|5>3OC3e!B4YfJyr=)Lz=W zQ5{Z@Pw`(GKZByQL$w*>se9>}@0<5>2BXv1x)wIldi^MmdZ8=8D{hD-Or8dNyW2w< z{z8pj5GtFrcG+fbyhN%6pS7DnrP@5v!2>t_n1Y-O_4- zf_Xb*m}1km=aZURDxrRNp8J#0h(;>DqzV%>o|V|p)TGY)xZX}Xtg3r+IPa%gYzzp! z_0*pN<6H0Yaw<^D<8U~~2n>ZXKov-+9dM7z7b=q(*uAJP0`^8475dPRkSn8`<7F0` z72I#Y@QG9J;N-*_ps^q)S$$uH&;&vX)Mmu_Hiv`p#n{g(HC~ut0WvO`H^GZhr{@uN zZ1wHV3#Uee088NZVf-V?+i%BV{7Lvm^5AXa>!(`OemNh-x0G7VxF}rV8xNTdP}=~$k8}exlGqZ@)EeCB^a!-xKB%V3JzLp;$=H+TlV{MZQ3JiKIp%urH z+97qX+MIKyInc49EIVL$@S#2Hb=m{>RfOSvT04j!qF}K9c@ThY6P1HK^ zBN8w?qgjjAMlZDt?{8M>*=x6xLK1?94vpB8Pnk#*QLzOSo+X$ zj9tF=M_%Mw&1m%u>QiA3>!=((UgP+RU*tg=*t(HSbf=(Z6>!{5oK=UVOV_>94ljwe zFBujHq_+A)sEqikTr=U^f{qoCy}WDjoWtBQkPw8|qB|D)*|Pzogi53njVu?} z3{@9rj$8?0H?+|_Ui*r0CyAEfcvK~Q#1bX-W8}5%#-Y-JwES(QpOkj1JIX;o!oiGa-cA+qJjbNBr`%z<94xjK3Wg~i>F9s*ysN|x)Z&0bs)#C_XM&a%1 zCbbvVQ|dqsu*SQ73q`l>Ll_mWgBl_&8-M9|jy#ph~{ zdfgxAEF8Ww-MrGBi?Mwj;fQg3?rYpyVe7xYi>$kBdJ2$Ieg2-1Z@sSDEZlikgt2k7 zywej*{RMawZE3woIkY=NgiAaO^9EM0ZAeWy| zv0*G>lU&%RTfriy6=}i*+^2l<5|L51Z zN&416oL_&8*jVu_Lvapg>16)7_cN1SG%12~lV`H(LiyTa#cK`;R-^AXc1MnIOa|Odx=}l?@l|Kfg z=TSl}w4SvpDhVO<7iCz%mm2aM9GP&Zy~hV9wnRZ`>`FQMRckg$lBv$KY{K5!!M5R*Yl`=SvAvP%ka z?IqvL@7IL!-*WK)?f;4z1kp^pJv73;RRE#n_|4U zT1=r<7~Ah$oM4mV+?aQ`c;ynD!%z6P=eCqP`_qSU2g3~=IXMEJF6Mf%SC#NO0nkZx zHbd7TIGhjq^lxfL!Qs5125h=kC)9CqUNFkO~$_@QF4P}<}cXYStl4+QK!ZX1zb zMH%cG)ly6tvps&E@-B##tQt>;ptIuMIg*0591uv@&$}>a~+G5lz zGUR76J*=;O$eg#y%gWbl5*Xx#zdpNT{Pr9v;PHp9ep9~F4~gTcd62k9nZm-cE-IVX z6kbs1vcYBL#_6y7@)q^_#ZFP-iZ#g#PZZa~z;13dX3<@e9a@!op5maIm99jKt^*8O zoEOvKe}7jis`6G|AID=d^u%$pH^Ld$g6;&vMB#su9wQzdEw&m|ZVbXaB7es-gFNu1 zwYB&A^Qj5!CYX`r-5%xH@@0lS3|v;zJ$JX_MRC@L_u@&#O%3(+<)G*R8M>ih=>Ver zg9HIG-9aR&ui@_Y=15kP`zcsMi2fz;kC}5?z^Me(-xmz?JW7uYQ?(6clNL)agR6z* z^haULXbc2v@!~T$mMZfQHi*n{?)kTIKEd?ve`P-)5HsblG;H%?a$21kj9c1^C<_0ltX)hlw7edN?t1jE=-S1RGq{8iZjZv@vPEH zeti;ksebLPO(pk?+LI_YU1}@E5_XqDj^TM1Piu~kq(3j?c=+1N^r<;@-v;s5;=(tq zuj7_K5Upg>>l28sZ$|l`tf<=6wKL3L%;)}T+W$S86X?Wt5YaYo%e0lXl1A>R&9&kDVB9A=+p2SV%aq0xSLSbQvnV*uczcKuOf;#p@`kqJ9(M>)h2A0_hcEvg>FUGly03S4 zI3^+E;hS%ghmjImnxv3lbi1tiJ|8`nBtI&NXW1kAwQURHmf&Q8jujlm#L6o@D(aU5@eDy2xbrDU}~(U06K z;i7c(szoFhp8L1uK8b^W9T#;)?)r3Fyv6I*^>`f(BxV`UH8}Mrb4P;QT`eZ2yhfQkU}2*f)>aHq-*kc4jzp2*5dG!iIIcNObA)gQ2D_^to zctPB*Hxcv{v)(bpPPhT?#e<#}&>$_NFH0rx#^N)$IdLRM1pvhy+M_~)v+0DaE6=Gp zk!f2`aZ)<7p_@ye-Qm>vX){lqFNJk~o&(;W8vH00wV2UpA$;bT*C|rRM{iX+{zM0{ z=f|(Z^2sc*jEjpImw>jT%e-GaIlu2aoIn}ibKkSw(Ol?yL0az%`G_xxYSjZ94-#g5 zgNJ=`7( zADeG974ocJPrJh-g6pEGGoUk{g|aBVsd3`o5(}TS2J*gfjI{CPdNz}^@DgH4e8oLf zew!(HwTMto)`P_>6db-3Cgk#XH@q+J2`veRIdMN)mS(|yE)4keJvQoEU&ptCTuORCBZS9bHtI{xiW|E8{ zxh^Ih{+>ozGKNlcK8B7`GMi0;dpKtOrevIkVY+Jk^^JC6RCMv>+S)~lQND)k=w42& zgW<1@F+pn>x=i_F*Yef@8lj){5|de^Cbm6RLZeWi?T+ASsH}864Ki4t9Lf1(h$uQb`U9f*7Ga-%}N6 zxao0ha%TVPd&@KS!2z&Dkp(w%wca`chQa6`&2IU6Burk(bvgckmKYDL#z9@8GXVW!moM z-JTB3ZuQrU^O!!b9R7j1aR{RpXf~N<MQ-N1Q$2urlCra%e^V{TRe0~!cvn0PXZZv!1~-F z^8H2FZ9_N4@S|zsco0y(Jn2DD@c2V8?6f)4L^Ff0Vfc$aQ<|)+I5e;GtBR*!UbV#J zmNxb8xV~{qO%EiGHclw9NMf}&nap(+M}8AuJ+IR6f4-k7TY$> ztU1N!cy?E;D8=vW5AsQa8V(m86^DF&QH}Iq^SB3(%dq30pGUe%zZx}YMWsfNa5pS< zrm(a&stw0~@YM5-c&{T|4Uv2~n(E+;KJ;F`pMu+0ceE?}NoFkeXpV*`%r4ZACgcAU z)J8-6zUgWJsoJ0Cnwk2kC3n|If4@HEHHsWA(83Vz5x#89m_Nu{nIPSTqkAAI{0H}x z4aH?JF@QUM@5%Rik@qBmY)4;K?4qqKcdSOt41&EZU_I<7HoAm^cHEZ~QQ*lHJ!dn+ZhG4} zEzE6a3f+3j;|<|h9wBv^jiztcn&)FTO`nYiLu5ui2O=j6 zxi(wu6Y5ORvKw+;T8(AXV>z7F>4{L&^VhjEhGUU9$asUx2ZYG`bZk5SufZ6oM047MRg( zz@2e*Ag@oJ=z(l=72i z-(V)GQ-M!zo;*L`*3Rjkn2)fzs_klYr)47H!s*xg((rBaN&%gQ1w-tk~iZ|4lMI4_m5Ye|#T+4P~Zs*#we zIz+JcHa~3}L{7J3=;&oB$qN)-&X`&RA7D_l3IBfE|It8d#7D-iR3U652o-~<@nq1j zMD4o;GDGx}z`YjUWaSP@D1WO9DmJWc)uEdc+GyvNTBIB*@AwW|C$&*@Q`B2jEa34_ zY471xo3`VK3W)__;fM1b^n#{&)1iI#XN5FMTLD7?v2ui;q+?4v03^<17xA%!?P z(Vqk%KjJmIIO8RfzP?oi5+PgPX3>TyYF(ziIX8r_ntZB~@$^0G)%-vE?p&bw+y z)Awklw=(e9n$gKovv>TxaGJg?(Lj7R>n&|s^^B+9gOyFv=e zy{x`eb@U0`*4EA-dx2y^ffvDIom+B*yXjTiJb)rK1m%Y~BXG*XCncw1ZpP1R6G9 z?JB6lE1v*Wba7pM)NbERYJKDM7~bS{b~#aUr@Okb5ebF1NF@0A3AP8F=UUJG-I;MA z_!>qys#tA~m?H;;ZVL6qG4|vuZuGZ7h0k+8XP5T3$)(Nq{K+mnEuq{ z< zop-);qmQ;J#WAS!xS!Avb6I`?Ib>l3tiHc~y(1wdrPZuq0O9VGy3L-!d)I%*3m;~` z0&idArU|qgF{oGggF%fs;l1=PVJ@UeLeXXW0x3WSRam3*w<=x-dkAY+Kl9S}iJVAR za4+EGk6b3UIE8Oh-RNb!G4CelIe~`cY`A9L&xf^5p*41;euKDT@5ZtlUzf#go0QtE ztr|TWx=s_$xsmbErh-(QXTeuepEgpO5u z47oaPvopYch|Tq`uQnFrU+N7hC*ceRmM&=C)g63$6nms^lSRRy(RcfmML>)5Cwy}G zi-l;ZeSIQi8J+2jYpgewZ~@;&-D?SR0q^`RtgES-ff6R*5QHFWUH&5N;`sIk{Ht*o2q*B1!Sa0hI z4Lc?50bksR38dp+lOm&`8*PW257nn!Hp$NvgiEd52%XCrmnIFyEOb?Fofp^D@s1jO z5*L{dEL(?nz}xO>_3!4tLTc?MYj4vM9FP>;aK*HXkw?6XS&9zLbKfU+V$UVxzr?e2 zlSp*I7T8LIm6CL&Oa|o4s96#_y*|5AS8@x{(=0?B3F6AY_*5@qesX9vSxXwBee7il ziA+EF9oe8Ss*hg64t`zX`@|kn?M12Q81K(FpOs^j8fexs=Isu{4%?}0BrJO&?@xR< zUlK+Lv60+rj&5s1hi1N;v>?&O;eY)tLvKsOj?&$_^6ko_Ru4AORUE8V{Tp1Hu1B%r zvW|B{!$>V3Jm%sP3h`|>`M!QaqSl8Bx8~$=pUG%oS9|j}nCwSF>4Nko<#$GdXp@34 z=6F0(EpkhS_cz`bC0!xC_Id3oSjMT>s<)$i=_O!y=1G=kH7?L(d;#IUZHkDZ?_#@% ze|Qa_h#D#B#M%ee6@lg;?eS=pX0x;Msk=*XB)``UgLp)W;pLHA7!hXxx6NZhLHC#M z-?uWTAKg)EwfbI`RaSDUFDU0LeJ=Z=Gf~P79p|H>>MG*oihx4BeWADbH~7>tA?((( zJcCf-$jC^HnwlE$Ac=eQA}*c*vroz^?t4YCHOD<;CFAUD>*(}zJHa}p)MWF{b!8SU zPDZV*@_N6~Mn;1>wx28!dk0;sN`#fF6xy3-^U?OSY7IPGE1!L?5-B%yqSayNSX%q| zfXS1X48f;*{E~W!awKi|D5N1k*O**r?1<+qm zM`w`^gc{~Lm@&r$%S^|9V^s8uCheXW_xZdsy`)ge0j5o<-p{Vz)G7PVdMu3B40b8- zxEmX4UY;8mkj#!Mx{G*#x-f)^3a=$gl}FeaH;UOWY=&o}SEL8C__tCsf;qLvyjDZx z{z-Tfp9lSjBj@$&%N2ZOH_6PB;pZP37&hB|hp)&!dbE~JWc+y}e8w2`vf75X9KPUm zUR5owoq<^(K>4s)^}Y^C2t^8pnNN?aE2lI3wMUb$GZZ5~dRDxTS=Ed@-}Z}$9xO@(n^KZe1zBFxzc z2&5ZBTKc__mGusN_AUcZ&n|^#d%|dlXMb#YkEX@Uk1EIAu~cKByGuo$M!pdnOPhj; z!m!Wzi@n0|1a7a4o&*&rT4m3AVr(4l{1B#mjky^ghPhmtNd3sxNs8bRh$&#~y1$f? z(v8l8?auzFh828rv)rx`Nu=e!s&>!YvVI)#(` zXJYbv8=R$Lwkpyw+>Ivpd*GW$9^)sCF?gcm;4q+7*BBc9U_Yg(S}Ac)G?tWk@ZD3>z+s=P0&ezE%@A==86&Ie2;mT3CIBdj#q3YY zTdV698t)vo{Hxnq-NagdO}~~F;fHy4BbgrnpM>@m6wwE3@wye(b9|C<3}$#6U-fZwt`A_X@YsUl@J8Tx-iuGvRPasPo_&+6$)p?wcOLYLp$3?kOI{&pllr;9qFI`9S3Q#A&ZM&B;%O|KP)8pKDV5195(OlrN|^np;z3-18$~t`R#eYw>r~8!_=@=2}8r+<=c+x(C3GkgyGOm?PdY*NwzFdrpsE))Qwa^Ph`mM;ikaN-h>8d1pv z5&$2nko7VAEu>WGA7J=xUq>)@zFIj2Y5(Aij^$&6O7{)8tPHx%v&*Y;alii?c!n`mM}OA`TuuTQjv7rRQ*q%2JfwQ3 z?KlZFfb1l2T1-%T=l(C4`M>E|>-PU)mmfRQ@|gX(7yn;y?LYi1K&xR@O&ZbvFTcpJ zjcWTxuf>b)y4{xXI#`pX?E|avZfGbodw7`-RS-HY zQC3jB7xF+bJLwQ7gKv}I<#!K9g$!pqzbLYZclq*gY>J@yPe47>t!^!WV_&LJ{?|2Q z(~EYxtxZDwA3pnr`ahp3z+nFuS-tslrtE*?;QvtF6o{Kf`6T}fA5Qz{or}Hro^4+w z_0Pc~|7Qf8FR`rW|A?di>oomyf&l{kpU=oow?9@q;T0}p!*+($y^w!F!2tBHaJ<1v zn|C`JaSiCh%@`PVUZqP3{eAFBc8{<1Zz6s0^KcgHXdx+gzOcVxE~lRXkzlRc)Cpdx z-}dPKds#-Sjy_PUt>EUKfr3uqzVA#?TO`ZlTTGgyk}9uS68xt#d@|_#o7z3nw3LYq zm!k2IPYy(G?1N-x+e5s>!-muF8lLkKd_xyhg&gWRFyt)YuvS&XVAc4 zosRh(h#a03Sd!K7c`5V-4-c>H$_<(q={da|R=u;3Qie66m)6yr_GZGa*iqH6r9?rt zQ71#y5LJeV@abm@(akqPr!HxNu5noEtPabA4tOL7Yj=gUKOM@ljHWyt^HrV(i0IYq z)}WjdG_E=NUMCGVQG~-Bat-YVCi%@xg)6YvnrR|o(Sb9d1>^c+0Si`&OQ)J(6IAoY zWNB6`P~6rWE-}&7SjwC0kTXz*9#f!B#2-$2UNURY8MEN#y8FI&HCta@t7SV(#+upD z#|C+>$?yA`1y;lt13!nxQaj5F!~%xIZ;;ER13@HYo#tm%`=u!7g2eJhpKS1Mr{Wn$ zV93(JMFh9;5f}t}hzsF+?_=F#hk4BEocH*SyO~x;QoAMQ#n+hW*vzJ$KJyZMx}X^U zh=9w3M%U~3gRh-NyiKTglSd}!13Ar~gFoI<Jf&4f$erCeX}P1mn+{0 zPpAR@6y5TAhT$f;WZ<%2OR|HYqdOx?LsqZ!8>)iay+#Vh_Y1mj!)>148#;GPHWFHR;2% z7c3)VCEEP05as;O0br8t1M^?GyR*A{cyjU+G}}7<9YZE2CT?qQ&j-2JVCcFbh|0!0 zS8wrxgy1s|0-OF``(w0O+0gkaeN?1yE)%r?hp);L4R){7x6j75L^o&TL+$Kwdj=A4 zSL!@x~xgb|+5+Bq)PPJ>oz)bmUU7z2>7} z%12pB$DMao+^Dh7KLkqi$eq1E-$B-Mp!O+dOtNWQ<}jve_2UHDP<=(6_{^n)3Pyj24QO9720|`xf=j7Ylc^XZ|DeE8<1fTH zC5gQ*)h$v7)0f{tBON67j1vXUW1i4t&Q?CHwjP-zC+aCRTJMVv$Jws7B--Cash z_V@W|$a=b5DwdY#$&X7U$jDZPM|h_3j4I>zRAG-XcI46RQ|U?Pz_L7of>jr}krNHJ zVUy=>QmY1QW5Uld&^ERo6%#hPQ~3QokvTZ;Q-6z}wJ--aZf-2CCY|uvajRg@zvWqR z7R8Tzq$Y8`tuYHYy_h#$2_*5)V60LnWb9X z!KElKYQWjKEG2>R7~qBd{L=H7A?bz~AnJ}JV-Zu^#>4q4wLj+y=TZm-tkTslLZGS@ zkTuy#tL{5KB5=dIUEai2SA5ZLYa^%K(f*DYjfaVc^%34ms$QmtzA&-*=|KD_y7ZII z-E>`KcwcRjzp&fEnB|Q7z~ABf?)fJ7!|CZBq+dDmm?_=TudgOwx2ZC8=Gd~5@HvWR zD7`Enw6FhVwrD$+-G|xi$=a|XS6+BaIcSiJC7}Ou+9DADg)>^x;+P2wCb0^p^C8LK z#{qVm6T|_qz;CB<=N2;Fcf3$GBS{wXF&tk%Q6Toc@;EDMooVFq@v&j-x?E2to1B_T z@{a`=B_VrPg<(W{YjjmU>kcpDkr?OxcClu!jmu$ zZm?ele0yR?i{~ZV`Tl}Qn?JHjui2kfX63JJ)qQOFqpnOOd>FsNE8!Pw7g)_Z!(YRN z;xxO6oGe5RlD`;xa-;1cF>2i!qjdrgE+LAO6T<>3{#UQ}--qtP^ zm+mLh7xBYFj7f>XmYdwo<7RM?_BMDtsrH@w>RGzjrM@&dTlC!a8G`NZjZ@8~^-rC? z1_o$lTY+28a4lLC_x=j^n7l1IzcX1tc*u!hGu7fb<7O5^(^L7G@6C`mZ0M$uLVu2= z9>ejRMufaOkM~V{WyLRgLMIJvDYbKrFXYrwr_~BU*fXLO?oX{<`?uCn=cS6at!SIdJ&WcHzK%Hz?x7p(ro{JX9f1@6X=q07x#!RQ_i(MT2yB7cD!%f zsf>whQF-qd-QMmxpMa{gPbkkoT^vpR3_TL(;p+DC$J{NBh7>9v!1zfs^O6)91<{k*t40*u{O(z^<8Z+wXS^6)0g zj2VjD5>5%kWQp6HoZqVqAEfYeB*Ppvqc}wsXr|2wQA*BMxe+Ni`N7GYEaLj26S5Gr^PBF372zgkKYmO%x_4)6J&h zzA@tUBC5}o7pjB~BUT1a!vlz#^ylkWiG^Ut#@Fgvm~-C~!-OsK;-%evX^rxe z#VC06_w<(rot%T!?5ebCIWHraA|`tL{~O00`!|l8=t2uT-46#Cg26)Wi;#33jPmj? zSzOQZ>6PAGEixH&;=VeYXPkGoNz4Q#yZw0IOESDxVevu2_W5T`o#$1|xaP5P9A3p; z0Pn8mXpz>iJWJedG{8A)P3}7ww$04Sw39HI<1T(tjfTD!ie0h)Q^NK4{7PO5$#4v< zK5LrdX@%kDOdNMh(aKu?0;6?Sm2y_-x2LIt1bDxSLV5QPkO< z__8wayh@bQZURHGAlN#)Qhda zEtOLLj7yfA+Ajwjy{PU}Jnf@nAh@U3Yo#4MQp)(q+tyCObN$}S_wl^_;TR>|gzUvs zbgevD`$4)`V4CC3Ld4N{A6wHlLBu{cGlqIVIFZxg53y7}b1V|4o98c(kj6eR#GvT3 zP?)~M$i&$7CMQs3l5c6*54^c}vef6r8D2D=WEuVWKZNuUd>j6Vgx@*I{nVVwP56yC z`YVGjR4|ogdZ!X-1uSky&)rWebe{Ne&Ng3v4QAgM{pm%T6LBe29sTAG`UyK04#a_# zy}d!;n@P91?9a;p4w^Ay<4VbCd!iHc>!k9dX?r!nU_Hs)%)l#SnPTGO1Gc)$XeJ1A zgSdQlTYW%Yg&WjTCF&MLg=Za%<5-eQJX_EC{+@9=_SRf9ZPl6x401CYcsZ*l^ETait>j2ma$ddVXDm}7lKD`xaP~< z&K7ye>IH>}xV5_+QB!82ZU*=V>qcLvHqLE?7NJ=iTO4JA^)FUCKpUQrK})-i!O+4C zhB_ztUy>>L>4IP{Q$7{;D{Tv3tH&GatFbe)g;PDl#XLTEW4~hg%TDd7A#gmJRMK*0 zg|CjONm%X|3=KGY8rzBRX#7as1YQ2fo8M{tOBP7K7_*3BRA>4lbswIp@dyEXW47sw z>y|-Q&1=;RE!0Fo|5}@Qd&>>h%H85Evv)MC<$O(SJjwnWzZakWT7d_<&}v_t8v(Tv zVjlk~ii4`_O=)iD^>k>EmtkM5E&lpfaIQT^S#pNvThsJor4Dw7owbA=1_-$vwZ z|IzWzl7j#?Otq2qi@orAq^Ma?NCfK*TWO>+b#W0JzWY0ognKY9Kc%P(9s*PUn zjRp<Ouh)wAMzweCeeA%T zJd-P4sn((i&%N>#HVytPEZ|PN{#_z1JNn#pX8&Jn%V5NBkfY~w^xhy)WpENQ^0HAw z_hr34RyVlJgF~|r%|gg#7pMd zHN3xjqaszyY1o&PIJX^lBzjLaIpaM)FR*-H%Aw$f*gp9OgT8cRWaOc{0H}Eyrye*j z5P?v((iKkJRffl?QRaQ`Me*iMxLyzjITZ&-3}_QqKfR7_Ywe8sHf&pY0G0+0SqY2! ztCc@=UBzkNU|E5}RE(T~Xv$OV$ zWFIKb%{CcI(xmDd;kojB#5y{g%c&*}EbR*gPmeNBy`xPLId1xm=5K0(``a6S+}}L2 zw@wh9fs=)r6GFY%QtOET{N6`o2b$NS3}3k?<>yAF1(sqYa*3S{yaxb6nY;JI(9g zJFcfIr06g09`Iw%8{VEOC(o_O&~k?|lQS=Jua>5eXWGrnaJ}Pt($e^zmTX6^*_q{% zSe`4}_JtSSKTmZ=#)?8j{rLQ?Cj*5#Y-RF~H{QqcVvoRW4$X&6eb?`NwYRVgbvTed zyue4jr|+hYhz^aGkg`cR7(Ni&M-Yr>EL-@m)Xc|I0}M96E` zwAoCmVU2j0<2EVpi8rRh+K(wNu7HpqUURZ3&u-rBWFd*|O51md5iPSEK(=lA2IJU)6R9?syE59ydqWNA1?IJiQ-#$l;H$y2e zR*B!dPE`CaMgJdhFLC*7HVdK zQ3y%KYrQdRt!Q#%)YohjKic^tsR+31aeBofg+yNYBaJ6iKCY+ZGinanJe_x8EClN&QmL;c#?zh zixWn_jsMmPz(knbiW!glVDd4+C$dwHdrW+SRrzYef6Xd8j>;9@y6Rp}R$~KnSziM# zk!PvIu{rw1Lswa447#$;#nw$wtGdfOZQWn${6r745y zn(wytUn9w&)lyss=Y#Dj{C8e7ox?56>IRo7+WUUX5iDSq&&jT!rFkAQFD5WqOT&hGA` zR~{Bu#_udN(5@!l?yQzz*J*C%80~+tIh3*Y1lo{ir1s;*BRk#oJ*Zr$kgmgNjGjQ= zez}yVYBqnOAey$nuFzrb1UzsmQPj6+v{;ecdQ$ENPbJ`^!I7JYVW;8b$@Z`6Zl(U{ z(@L2?W1w%nIoL&)zk1uhb1%22zEs=GMYqv@Hh$_FVhVyh;j-FGg(cw%bU4zM{BgrB zl_fg7OQC+1PXPb3+OL~i9UtT)Jx{GHR1zoXGJ^zZD_8BOGQ$NAO9b#Pt?(6e*Eas?QNCawl-21 zZdVuc*klXryE()}B)x0iB|mCybu8X;_nhc~e-5047eS!crYsV=R35qaBpqfnkhcx7gzOh;>dMm5F% zcZi$atV)3n7q~T*CA}0@Kai7)=m(T^mLTvYK%v?mEWYQmEE8zd1IXLK(b3h<{o(CX ztro9T@V65DYb~dK0N3^<0l{y8wtj*N362*iU;o_y6agtbx8GY7rqWyc8=Gs$Y12-; zj3Ikr$y<52YTdRy8e6OwQMSlZ0)+_srE-1j%Sy&L?2mu)HEfTNRww(dcrD5L8n*X} zbA9L<nzg>QSE4kzX1G?j@eZ)4QaytmU5N~Lo9Q*e{@vr)0RI-5#;&G(5K zVrkipsn&039}Z=ZZcCS+N{_6OEhPJOrrgNm_RBG~zd%HH~tnqIM( z0}LcUg$l+jRmv=24QX>@g9pB;at5QiV8y}39yX}9Blc-^&ApUKYf-JAHrEW!tR!@M zZC000uCp)}O}m3fXYkc;w=-6*DYgud)$onG(C8#p-1NzUe*F1piKf(@#x1@HMpDVK z>S1U|Oo__$&Gcb!*UHlg=aZ7Z;gyB#e#Yqf!_uQ7J!71TfKiv*=uPd>r4UvZs7wgA zf$e%EPcxdYB+YYnHeh(GdFMxl*wZ=rsl&d@Ul9O297_GRPEe-czvv6+zp2ZaV@yeNA)6(hKpxV_Cu5FDauHW4KJ+hmJ!iA1Ew1BAP@KGwlNsNTU8&cAT$m#?tN#bCQ}Aao(hyaq zy4w=1@3ia!V_!6z*`_tQhc98|%mp5YBoNc*lJtW?<&InC&ig{9SQB-J_+!PI13Qze zJu9apPC6?brt(36(QsI5Gm5sAlY40K`S74C!Ar7xOh5r`2mo*#8u?)H!>&Ilhr03W zbfuyA%*J3}@9OUUgF5mw_vu25w=lDA^G{&KQ!N39{Waw3Su*^DV{ZgC{$vof0KPE!cy)2- z9f+m~Lqvh2TA!qjKtW{}R!P`sWS?ceQjjv`Le&bP)&$`0_P@d1n)AL_lPX0KOdL;l z=ZK9JViGHtCa;lB6cjp0yzg!0J&271!yvBs6mN#->wFtLIVn_bpJ|9L4dtlO;t-)t zZ^sXuUFXkVv@C_UY#EXQ%ZLxvRJ@+Zh}Yq_yq&$wzGUzVN;TG@qlDb(Yq=3vvzg1- zr00WD5`xzX{#topsBKXL=(Q9{~PHIT^Ao@Hflg`TYjnpso_d zm#ym$v#Hz4ug|QWN5u%9>&e5(3sSKe=(kDgv2y<8;U zpDwS>a=M?0DbY!C2tr%f|1lq+j~h~M-MqHOGf2YI{NwIiPaOE+uknw-DpjE|zg($UNV683*itH-VX!9BB>{jrkFZJ@ z;|D>uw*=>Z72DmzDPckjb#MF5IW;v-t^={gVfBXgy7WgQ*BV)5GIkRCZQotbt8cPj z*dNb9b}wPMV>dbIV8Nr>j>4nS{&uj)B2qk-_4Ml|K_-*VN5#qlyD4H8N5l!lpqG$= zBLZ2tkhY!mc-VJkV&o(XJ=h8X<5nQrtD9eXkGo*Hs#=OLHc1bUOr{GBMwI*NmFQtu z!|m6am|}&%${aCQM+C+U z<=s#bKmUovJ$F;hcj(}g8O4l`>asA8v$|}T&PIKSIO;M$sfYfHQhx)y8q*X+KE;VJ z9A?chCn+us&bi=_;Ex`sY&Ee3nDv*p6-Lg=pgghGq`^1r2^{^Zx0#h0EOg|BTG4RQ zXy5ARkv_V_v4{j>X~YwTq*u5KJP{Qd>M|j=L+0uS$H(16LnplJi(iHgmTvPkYx%Cv zNS^_H>O`qn!)I%BgSug;!br;g?-+08!N$;SzEV#U(sEBU{{z-76<@M`>98%R7;vE* zl|xqw(ka^d`a(egG79j^r?no}XN;vfiOgsjVC-lDYu1#r-F6cYvEqOUJ5pt)2xyvA zI^FEgBjA3VC{k|+flvv&4#qcg-dyk@ot57FKGYkx=kz&D)Nfh*K~o*208bcPHD8SN z)=1U1&)J!i{-C;@Win#3Nr~;!DrMJ2*kXK-)N^!Csf~X_$TK15Dx0#e zPm!J_SLc||GZG$yZOYz)C&I6WPU5_oOmv5dfiKxZ=54<1c@yb$PDvB`cNe-vLWy0; zx)aOwo@{%ye_Ff{{hRDAwa}z=+2c=q#&KYUWiOlW6F)QlJjMssSEqia zE_I{PV&ks*+W%=lLK6dmsH()*-1D@fg9%Xt=i=GUc&lc^o1?>`J2%cKy{Iv3^c-sZ12Z41^)0SI$|`h zkoy;hV-1}Ql23W`Hrk!>smf{V{TlL9XFbIbc_Mn@{>1{EgvpkpTel_fAt2TyCevZp z!YB6D>E6UOAUx`0IV+y^>yi+yoM$Y9PnPe^L9DuMX7Z+s_=HOmf3IH>KgU4My@|)o z|MQc`TUyKf)PmY|N|KE+;eBAfFjkELMolNm%IqES{1wA{a@_E?kw;EU%vEyGEEM-p zK5w!V{wk`gE15P7lCGM(E$LEL46+QshPrn0X*E_;bG`chUP$}O*F(lxtlg(lgcBRDsB><)qQYBjS}9Z6=bpJxtXe%U^s2tQY6wQwy{2Z0 zHd*1&7f`r%Hc-raem03o%I(^mqRA&p2=*ZZ~84@LAC@6cG7sNw*1fTNHfoJcZg=YBcW@*qoNsfg(4NQ zat_vIz%Chsf`%r6Qfl5sl}U|-+}XK?YP*pxR`La2f8W*V%)l8jHnzb85ixiw3AYZ3 zO=mqY9oZmaM|=lR9S;u*pq(K70v69D;5T_(4_=Xxkx|WXSWJXXS6fimF>7jSmT1+t z0f%Uy#=*hi4e0d+8C59&u1rL$LvlS@MFygIHkiNN3cbLBr<~ z9Yi1yat|#mo+C@SdEG}mFDP$Wqtb(Lhy~P(IIRGO4ER=^``;JzCPj-= zbLVrCTI>xYm)#{XMSsIZeDspHyqC|19aFWX;^HK9wxJDLxI3CIAJ_JRnHD(}ysaqB zgEFeyaz06-f?7N!01WLNQOP`ey4zAoy^d4DCbgr%&m=<^?E1SCA(J?ih z5zak*Qgb1OJ8<-wSu)dGUF<4z>PLO3QYbtz^dBQ)M-Pd)l4~{lP39b}RDvu=ksL~m zsr8qu1%7T%KCQJOP6raqP9H*>tk&ZAj_?mHJ>=e zO)E<<0qMJ=6Ebf?#qs!5_blzmJLzx?uCBIFuZ;;*Wm|Old6HGR_|W#nM(jV>**Y)I zk9!oIs`u54uG=GLu#*L>&i*Iv}PqZ*X4fxSRO2DDGUh%Lz}_ca9od)%_>CH6q9W~U_# zkA6!->GrAnX*KG3bTLe223^jp0n=Q;HxC&A9{)6|h1^I;r#wxp0PNV`DwNB?InoS% z@83U|(&Q18^U+Al-BDzB?fp(69LSflzv)C#vbFOc)Jl-v#T!V-m)k|7eAY00wIcRug8zx}q~<9OfW z`|*8#__fxv?&rR*`?}8Sy3gypvqI#-jq>C@|i^%6}uLs@eQBV8p;HEM=2 zak(o#);TWMyF`AtVKHSo-Mm6{M;yB(%QvpHmowpt^YIdI$qp5AOHQyWG6a{*LD~Di z2d?~bAnT29|4a3T)G60<5)|A1Rar)vF+y|ngyWy6Vh7%vy#K{qjD)RY#NafR+1>Dbfve!$r$ZQZgh|W7`y!60Suu zlQgPHVY*rN*_LSRoqG$B;j$A#MVW~w|6&PWy6{f{-hH>??+Lka{3(yi zVh5@8?>f4_XdK&l92@#o_4Z##rKW!hBO9FI8{Fk~_}_7T2@>u9N+`MPKL{lkJ~jWl zitjJHW5ciZ8w>u@Vb=Y(T-v|r;GpjQMe_X@s_ftNm;cYcaM(rok28=%L^;Ln!;`B> zK~K24YNOY1u=(!tO=2cX(!e21QVnVoNC8pZx4!{gLW0D9!qao@8FV5+;IX4qV}W{>Y*@C*?_Zb;Kn2j3zmzd+?!B|L;7z14e2-e*9?nlwRe@u*Kir zGQYw5pqGQqBpb=<4ybVy@r;+Ua=_4!m3W=KbZG@x<+DAPrM`BMg>`jxsjsXIn#jW) zWI6Zuh1ZyB{Oqe&XQDq^QCZoCK4uNdRAZ019RJO?4~$oWN>5AP-8jRg{;{B-fEXhL z=zK>%sTzrH0*5`*_@Rls`}>U-H5NXDIHdE3ClWY&c6^<-M`%vPr*B19$PeC?oZ@K+ z!7SzZNX>84{Kd!d9%%b2>$;K3E(sr|C-D_(~U&E{rocY(=}FcOP?{!(oJNT+}x^i>N*l6S(};_ zq_L8&BGUq!RlLfv=a#O#Rhum5xTcEvQw&4Nu&s-xjNwwT;HllcBkOObuxVCAFfDH8 zKEk?9PPbdVd1RsRF!-Rsn?G@pjmgr#5Hq2VV#02;158TH$0kmx2#X!A(CG(J*Xx=N%mN0<-g<1@*fV16E!w1^UJOce*fV^@8F;& zI5tF^0_52)L_`>t`q-O4aiiWpa#wtWj1|}@WtlYiCQDdEy@$mGm-zVWS109wkt?aG z{P^|i4-4Epio~ix6t0FsndrTyE<{(w<@GoK zTgSuWVp7so5memDw=0r*Q(_A~sIaoD*pq*QkWQM%$1S;dE_GQ zg-(!j*45$7l_7IY2HsamZ-=ZNnUDiUEe~AfvG+e7Msro&7MUysSsQCyrC8|vW*KzM zWgTe^sC=1{9adu_TT^2MDe)2uAZS3R(@hzY3JS%s4N*rh$6s4AS1!15;|9?g4Sl|` zCUsW6LnF^+DJR@rM-Au-ImlwpZ{F=Mj;UVBB`JOKn-L-33|$0u?f1O`1G7F8eVS;< zd3k-?V$9JUoX9xL)!*7Fwnf2X$*Q>Iqj{DEF0G=<{=+Zxs+d}EpoZd7=z_7q7bsN^ zjj~^$Ey($G+F7c9`9G z4Gf*w`CxXY1GZD#;a@f3;;wvHoS~QciO%9zQ-|{dVPK)*J)Lyzcu7?F7A#-Bymvr3 zIU3G02DhfST9!;JkR?l?yhm8 zbOmB*i@QR#i(Fd4Ghl=B>BXuM{psM9lHEV-BKx2uQV-H-@%YaLI?*3sY1B9|E{kFh z`?1f@DYgaPy$5V;Z5LM8w_+m{SXVE@$Cq6n=CZ`xss_y@7+V&ZOTYul1({%(K7ar2 z{v?%dUs&=T`a@`iPf`oHg$jxH+>CqZ&p}~y`G8NikQhCpio?JwG$WOws|hB5$RxCe z#gBUx>?ivhdohmT_eJ#?=j2@8?f`*3QP!Rvv$k~AT9QtpY+}uiiHRQc#^W(Tor~P_PxAu9wwfc zLH+b81>4novj6a9&-W6Vw7{Fk2&>YH6Q$41k^R4$lV4rhIXNzql9J-~F8?ev`UOp; znecf^VN8|V3Z9hu`g-mZVLd)*<{gCDpd6K5u5VkP-~XSmPX=x z9v%)vlR9+Wd3k%!iVsHgsag>(4<<$Q=0POQZ>Vi`W{clO14d8?rZy2iWY3;GI6IAo z7J`i}Np}A_M@Pq`6cJ%z_x7L415cegB_N_Y z-gFIJfO4UXQxA+EQs7L!zD_?sE(fuoC-V_K5srt?3w5T5DwzEI?_(XWcpuPkSVJG=t|vS8A*GpG&zDAdyKWJ;PfQ4`3xpQ-KDfxO8EaM#08whdT0|SmZ z3l_ubd9ZWkd9G4t@CnVIxoeB-la%C2eFuoZPH4b`okJ+d5pf3dssv&uG1rk*|D<%P zi&*tk=~2q>-APE`-sSf05159;lZMrZy@g_v?9ilZWY0?saTRAvQ2+ENYY3W7l>`gn_t>dD9^kavvs!{`02+ zB4#CHLL02UdMvhq0Dq)&XNe3zrX76Eh4AoOA-U~CW~DxYh);4NezhW|`M(irseq4= zDto4XJxRuP8LUMoRW14AN-iJ#T0go9T~rtKTn?Led=(pscE^0jCO*=4V)8))@$&Oy zbZW|L4F{VQ*epfigpE_H4hD)nuYS~rwJ9JV0IbD&fIW%OT>TvYIY4LS(rlhB8Eh~$ zS?5U2!{beP#hzV0n6X}&;Ga_>z&_d&Ov3G>MfBEwxhz#lKib8A)Vr7xQbVJyd6u)(mGBEqsj09X_>Jd4%*@sw!LL;11#9w* zGKDT`>@hXvcBCcAur(#`R=_asXk28czVCv!^Y->mM{tZ4G3>YECtnk>ELR*E8R1Ob z1gdYbi&QdTV$aBkM>+rLpdgZhr=|b!JL|{C{ru$NOYebHa} zO03TB2d>aFUZw7YFv%iE$AKkv_5wm-Ovb)_``}`#?dsg2J%eOB>`wd8RqL?% z>7x%Uhpy9SeMUN!M2+rW|6E^!)`%?@TbW$MV!$VC;N*0eF+=+`q3KA-r|gYb15BKX zP@QJ-kczQH6=?|>YYeo*ULvET`?0oZh%-RKiTJosV3oJ61YXQ}T3+~|&xDNIJ87b^ z6+Og=Z950|Plzz)=M$x^&yAbY6;f0JUjUJM1q3KKXS1`j_k4bS9(uxS&p-jy3$})s zJWuVK&iy_fmm?S9X$ z%B6>VtlePyKyh1G*t1t6Hwd@jwFORE=NM&ktXZ=LApbRe9`knx&M`G5GRzvp!{Lul z_s8lS3`myU&&ufM-TPfcW!N}#OS(n3Y=k4y~>jTqi`oTxzB z?M1?s*810@IQPs{)om#K^X+P$q8O*uMS6 zx7kBcM5^caRezU9r&C)L$Ht9IP9*(N7gN%-Xwf2_7YN)@6&0$`(cr9O1h1i%GKX3p z)*;L)BHAv%ey21wT?2H;I?!@9BUviXs%qCD&+>4Y{PCvRwLuz5y8~!Fvp>5PU%cfA zn78=G21wHgDCg9C=i)eDJD`J0TMiZTtQKHE3JwKOjYJoEPj~lOgY1kw=a+3&@>!y; zUL_EscZ{o5uT4oD#CL#~&i5A$?2O9gy2`;Y{T0 z822U#^H}Vt-u`|HT&<4zP_O8Kche8hJ)tF34Y{G1=@9;(3O`=!O?P`9Ep$3k$^7Z6 zqN>_Rk;>v!P*B+A`AMg%68&OCr!|7mPklIMPI1%gIU&5Nr(=O@H&2@2l095JA{?h0 z^8l*}@6FRR_a`Ioa7C*Krs=G?4&3?-l$Q0lOt7C5;{!MUGa^Nosly_6G2NLRN!&R0M$c zQQDjn}QP63b!WOf@ik?E`+Jzc-Pm+MK(CAdG0 zAP|!gv~VRzwt2CKd%>JnXP+v+n0%e_l)8A*pr3O18eT0T_WS$yNAQOpYL@h7)1*zO zA~Sk*Q^Ga)Ze`F955$t&4~{33d@3`vF(|pstN;2lt{?~ z=9pF4Ja?(YS0a6L(PSUB`U2Yq0@wuo7_mn%gh4M`#eIFd+=DP316m${wl{7+OxBZ8!25LuuJ6NF+i0IdRh3H5z?qt>gl!f3Tlk+=p>=MxVVyS?baaE1cwoD0=w}$0!ZlZ?Th3fWN%v^9u*E$$4b3uY;08AcD(b!Qf$q9`l1G& zC{Br}tgI|5x#wYC<>Qj?8JZ;VPp-X`Bf>(=3+YIhv#^2Px+;04%f|?*D>SY!;!8PL zCkej;Fbr&P1NojggMrwDrLQ%;g!%$R3@)RSfH+ePWzITclhd0!jC);?ZWRoT0prAp zdP*&Zkb|OET7kBgO^d+~Ywh}L!42?Oubt#6-pN2*OO`LU=-jnq2UPL=C|5QoDW7~r z4?v5JQ^#XLLR<^d3!1r8A>RTySyqe@J$Q#@X<;npM#*Cdn3ydVPHMr1ZjXWmj5R(+ zRFs#4b4u!n`Hf%Mw|^Bf5m}KHl9uHOVa(YGB-OIsJ^KjY12>R!t3Tt=$aELzsxu=W zp@ywp1GqJI;lVZ889>nD)w%qM6Dv+2Jn!DfW^2N8$7$qx;E6uK0 zvEuXGXjK;AG+_`Nf?CpuROEPZ{>g5o;laV#Jkb&FIbiNpa6lUA`mc*zkCLW{%n0HS zxFAWwmWkYUtRaaiQfQ`wu9@!Dif=qj}i{YKs2rpgfZgQ zh|y8cnOV=Oc?vq8U#6%&t)*`gHA?dxpaJZLLvKWAaJQJz{WD;%5tU4wvQfsRQ!nGr z6!kcj0wE>6s6;VK<v6sDV%vnLik_lSrdqSA~TEx#ThF$2L#KqX7-q7je4bT9!&)?(W8H%Vn5H+*xBOUja< z-T}PY%_JfsV%dt{@#^1g27VxIZ{P1zqh4iWWAhH$)kr<85nqMs^3jn~9z5HUF=wR# zE4qj*A}X)y_VvC#6fxw2>0ZxXf3vf-tp>hXv3m94nad5aY0XX`ItUSQ)Xc;Vtfl*{ zE{HMiF;x)m0J>5SW6obiJV>BOl~_SAPc}yw1eQaxh~t4AcA*XFF77 z_lB=Z%^Vs-5JV5V{F63|Hvlg{gqa=l`M?RNl%y7w(bBci;=hXTDpYTvCsiln5Yv?l|q4wBazSA4G&g%~{9KX91eyi6jBG0oA>n z4*KKRCr-`VVS7Yx{E>&P(5-*fH+jLsd@1|JG)xVHG1-**dm<;Q#Eps-L5wI%JG%@S zDH$1=&Z@9fBrZUtgkSQ0iUZyoa*n#EXNIYOf5?z~V6yOq$%wQGIf2SfuYW@wpcX8pe>lK}OBRBz_6i2*%xc45B&G9ayP9NzQeV?b8{azlbz0zaE`>slXS83-z0 z`luv|NePO1NXs_CDv09ORl_NM_0S|#w2xE<2ljHTMQ*ifvn&xKno(%&4MmR#4Wfc{ z=G-W{2elv2*tf8Lvh?9yM64=RP#_>m0olq6^?hjZ@XkaEo@-g5h2XfG~sUh zkaP2$rHBv%5Hu6Fcya|>b^?`|d#B1aOm@%iJn?J+u-wjp{^Q(Uln%V zToh}Pe_{{5MvCXlO@c?bCh;obo4rG5K#hU|41j+$R~#yQLLnB*R#qBcjA`I=H8%S(&izCUWL zjz28n_}B4{jt&`wDP_N}&ytjUW2SbM0ICw8+t`6m)w^fO>53HoQ2O(p0SrY?x=Ho) z)Mwxb3TMSzX%zNRhO*{lwp)d5e!2!vy0O#Mgs8`0=!eUc-$Urfrj{MstPVFl5Xl>k zWQdA6RxF|L0C9yLv34kp0{8rZViUr%5%ek$u5YP`b4+>yuo1X5Q!7rqGJP7#6)2{m zu6G$`XR(u?x)ZE=l0t=OTokOCxMzaM2k{c%5EDrbVN!tSJn_r9m3#z%#DKA?Gtzk5 z-#3??bcOzs+vA!y1Dvd%*Q7kc$KR&dD=H0W!&8jU%s8NoL7Y_p7I*jc?E`)zYF4Xx zpe6OI!*y6XdtN{#faoDH|HzX`qH-=Dpn*cxyQ z;Fi#U64Z)4feHy`k3mMOIbeydftsXMB^0!Lu^Y%{f`d4L>qn%~Nmh=-YRABMo8p2m zqo=G9r5Hlo3hq%rT3Y(~mwPxydx5DjtqQH6UT)3MqN%>+Q7eBEt0jn{-Ceu@9y>{v zOhkNML)KhLwxhnlHtEQ>UJMs)S959ol4Z+!Aia$Zg<9aFTI!D8r>CbykwWR__q4(4 z5xrl);TUF2u!lR=VoOalcMIY~gv{;X>gw9EVX*ppXJ;oyyZrp}wYp>b^@!qTq0@R4 zef2iT&0a3lOJ{jWEZz1$SD~(sk@@91+w5Pjul?oZ^>6p3{!{y_MdknH3!|(Bef6w$ U^od%t1^Cn4ue&c-Y&mc3eu9&NOuSvLK>vI1f;w1Uk8Qv z{qFr^-0?GpfO_`cYt1#|na`Ya`@fJCLqR4$hCm=F65_%N5XhZZ5D3EP-8Bafh>nf2tR-29KUw%?)GXiLExg^$d(PM z-K*2<)-AG!mE>tA_aDx!3qE)?^zMY_otniYL%Q2o>qgnwdfDXQre%44>H0?NPO8%6 zpb|ngt$fzITR9BxZlDW$P3Szj^WdF>6=Vqw$T&F?zli??J-JMU^3YO*zL-S@k zJ2{p*<16zIPpk6F$sgRk^-TC*Uq$iTmJsxRzQPAtk_G?u|7q`#u*v@Qg)N==;Ga*U zXXyxf`~CAJejAhaUl$A0etPlfUl%KU^FsdD#o@@5ul~8#&+k=QOErS9umOY9v^y7M z#;N`^VU2}939bHOzo1aR6*ZpUoj|`O=vxpz+t=5FwDejvc#y3r*Ui}+?epwktLF#h z^)PH@4Ft$Ytt;0??V*-*5(oFv05aOrIZ*~j@=l?ufZ*ik~ zvn7$wRq*1cHFwy@kKR&@mA4M3T$wEEj(>*f)6vltnhs?6^&B2Te;+!pmkxh*JGSLL z+iJ=vPxAAtYk+Ubw10d&@abj^=KJ^WkH+iI)uj`7uoDszoX_`%w-Ywq5Cx9Dp;>R% z9_sz=PrM{eAlTLf~vy;5VC5cl?u`!<3Yi@ZaZiflMiBX}5xdgGY*u z(SCL(+=EnHoU95ZuI80bHJ$P`xEk}!PpP!#s9E_RSbTE|91anP2Q&(62 zu}*QRgGJeUd-iGR>E34+ou61LHmX*)PF4#-c`izawVEO*q{3pqKj{}1-u`o< z4>>rn4=3!+(ByhtT%2OA+D04q`bgtEUrKkw2Iu;h*djdC7@nS;D3Iwa#eVjzM z9SOJdRqfWjm4QODVaBub>EC>Hy9t{nvhQlP8t=7z|K2!JY1h}+_ckO1m0q>z76Svr zNTuBuiOqMH7Dvqqblo3U%Nc>GX6pucq;Et72HaliflLYw+9Tv!jSUQRzP-EsXx!s` z77f}U!!>!!w+X!?0~1~Tfn|lbuy7SP#@Sf2{BIn?8aE*(78bDj^YMD!@iGf%U?W?~ z(0ygW9yVrXPi3t)wI}+sb`^S$Tk9MN# zg9@PMt0OgU*lM&kGg~K|=Yv(M9T{Zfx!>mI(yvX`5<(B1pt$o$$3+JtGh}+}S7n}>fqZl;<1TMBix$S-i z>8?{3Dz%~VePFL$3i<3niK0EG9RLA`9I_Hc@De{*GJMWw>}(UkK%N)7Nf6~{m0=6fZ{ z$dFqY>izsoJ`8-3n_u~oM6wUO6xrpe1J}zp;c>ct^h>!u;QMz;?gUx4qgmgh&EFSR z8m{Z5a6|Og`chho4ZYY+vH?cZv_h0HpTuE?lOdNB@*8LlESAG844nVEI{6%AiM3g;+~L`LtyIUR8)w#n)c{m3nacc z7(fxk9zM9+T#f$kz^Bwg@c$DCFa7ZK{r+DuSUlM2=G>zPcOj6oi)Zob5hL-kh&_e= z&K_N`T{HefeY@?m*ubS>H{RA38y;e7ZlZ0=JEPJMAIv!Q-l{35K+{@X_-2+sP=JhR&d+eC3*OT!wx^*`sIaN_n9 zRD$QU+L_ZAaNVP!keAbu5 z0K33HhNKrbPYGAtlp`r{2m}NKGq#m4)Yb3#HnHqDm5-w&_4pRJubXA&=eG!<@p;`u zM4d_YB@wi=WVEbaFXJv#Bdr(kY>9F#aXNfN#YSumA;vukk6RR!&}EF5^*xCccCND{ zu086=+V#BIMjGeeemuIoydoy1EKucoXV&_Lp*P6~neCvOmYL6_R&~%DdFy=CZC%ap zI;hAw6ra>*l%5M+KthPDnkqxICO7-cziqbXa=vyCRw=n${~AS1i;S=%hUuB;flhQ` zx#k!?%F`OLr_B{XI*VqHFrq)0K}&3Uo#XHI4Tm~C9rV&DXIXg$SzhiVMJs<-LG_A& zkdVbp6E<83iU}fM-YGoz99PhT*`kgxtD0w3<#&2mGYd1p= zD>PLUHG{JI`<9;f?0S#CGcqtto0}r+*xGL29Vsin{k8%3_r)1$sNQzGpqt_I!bj`V z>eB%z8;(*b9Pi0n&|dkF8#X0aWg2?S6yVH z{Oq-f$uoI*`DW;NxfLluZts8mVA|o|{n^z7;HdS+M5PJ`%WJSPmGa{-y`84vQD28R zwB-Ec!LX&kv}&gZtDK~bLww2YSdhE7Jo8-DwobX?QY@jGLUbgqvpQ{PGDj@il!u8y z=BY!&ej)(j`1!RZM(9om8&FBkm$zzh`)MM|!Lkg~S{U`Ms!P}i9GycQ{cP~ReIFKN zXRLIPlWIO7<#v&MNn}6#?WOaY_j{YCxGBSp--qur^OIOo*vMtFb8^msaI8}L8vAEY zQs_rI<+&c{1sh}rgzrzxx`J)n{Xw}ezpV8=**?8F^5W@92aU151?Jg>=UTm)JAYo; zy2ZDd&)SEp79&%cE;VDW>~U?b0cF8z+T=JEmoEEMa?b`cJi#w$I??&~L8}#x!M_x# zr0=ehN7A<6`-_a9La^3PZy1FOU^Abmi~g*T!)9_Pr@o%FHI!7$$cU1}c?JQ1`#S|S zJIEIYR=;t618DqyYDz2Z%NJkXmPK0x$jM1bUiV!}izo3BdLH~MZQGnObP{7cr(4@u zyPsGF&DwTNvF}2xh`IeKb~Bb;__USlf3ds9>tzIX<*U^knpHTeGcH zLR)L8-P2G#BqWd=Hzxd%FeyKma@eDBtki>JDmdl1`4&Qiipay`!py#)41I>xPc#-y zm;U6&)^QbzD}P>#QAS8jood0CJ(4cUlf)ELpxnJKZju3*PoBiE9N(uRzZ7>Ih)92f zh?1-k}h7r1N-@=nqvsaIe>Ag9)B&pO_O6qj3qPot7_G(Bvb1JUMa6)u_Y(Ug#D; z&3rqDLcXZUnVEOlj5-?t9%N=`_xkVw3(~MLSq=AO3yX^@9-3JX`g+3z43c=+q?5RD zNXn(0Vk4tR1Jy)6H*mq9Uw0j~GP`QZ$T61c}iv4T8n2cxcbL^GT z;3Ul&wEUOoE8H~4VL5l$LsU~fn$&h=p=|vxgut7qJEx7F%Kk*Fc{2v zIobEC)il4`*>>yEiX1cm9&O^L&nQ8t;k0*fnDrGndlW*#7Z9!Gg4Dyidta$Qi@3+g zY|ftNYj%~&(b302m^II0ak5&HTn@|*S?EA==)@%l=VK;G!2vkSox~K2|L&;B=F98P zZEydd?A}9vG#ZOk|7YccTAZvb*^WO8ALPFA*7Mlx3sy;K=`2WuVM!NzRQC4vpKEG} zrcb91MUAwGd7U2!9Jk9^A8qL_EG^BiYX9Z|DO-M~mYqpk=m#t+x4Ml_hIPLP)C!Z! zBskfY9IC$-RpBY7-}d3vemshwRk75<>gKk?3q08Kt&dLJK2~Jfst=Bv@=MQ8Lp^*z zFcD&{O4;n&MEhKrPP{(p-qvNCoW?x-fk`p#Fm0a)@0=i|^~)vXf$g!yOaB*Z8&T1+ z!YMzKgcOo+p`aZ14H-?ZOXd0j*Fg@VklkezA}A>J#s^1xdVRE_nDa%LblUgAD;6g3 zZ#!>_uVx--^YRmty1B_xqtd#6nI3V!-(zX!Hx3tAc!-^GhVE47b|!r{7efZ^_hsjb zaI(pIkyaVt+M9)VF=(Heq&&O=4h~c(X-iLs`vU9ZdC<5$&kAEc#U}-aBzoA}@26H9 zKR~5=p|t#b6sxDr>^|zr_RmwQ-m$6o?AZxW_Hu~c)|7E~9n6zn#n6xePwG1pG1oi1(zHF(Dd!lc9 zs<;*CbF8o@=3bEOw^XdPfw=XUk!IMVkK1I+sj41IoxdcwrzYOIZp9PmB*62&JMnEe zl#MNemUf{kSOW3JGqKPM=L-2xFZ!spkg(}kS4FeFyp$jA4FGYr{o-_N5!d zi$KS|u3Yl17BA`8a3N}x9XgVh4~wO?`W&WBs3Ke$e34$a1; z16T$}=8-=>ejHJGw%iKKWhSEwA%z4RM-kz0ME=aFW+@ zk*RE$PeUc(G6RHvi-??5HuTH?itgXe3brSm`S=k7e!GgHU4ks4k|Hi0NpVrtNPoxP z^#yGjj@ln}7mx{CUg?J-U9SB;PL8>yqA9` zKvcSd6cUObadf(hVvc~g9)12wtj$|gDf{K7;Y(f?cbTi_krg4DDz^BHWrVF4*I42z zDdDQSDEgE%ikgly@v*3ag}(<2=lo*M3qc$j9$|}^hde;G4)Q1? z!9VE&kYpQs&~pVc9YKorL5`A;v7DZHM_ug0U)RS-c9Z#zgnuLc=A9R3KR8PCCVvV& z;$nqtIUMMMUo*{2f?sxA9|$!%{KH;gM~jDuUx6Ro{uEp)vvqot<@NQt(J3%m9@6wN zCr6|asE>&mdN-9i93&T}^KqhFuQkQ15$`bt0p+WRSFYtd!P2WX*HRJwhW9>AxG7~1 zso}qPN?h45Lfb4r36qy__(HDNboYo%>&-9o^4{&B=MkE~1nvGnf2<<=Zm?HH2bOHf zdj_P+3ZL$Uj;B{Fbgz=gcK^dE`}<)PyaKBkMJhilDy;HR0)}StqpSTITq_Y1Q z4#ZA^8afpIlEl5<2H7)ytt>AV@ghvhSLWY0(R73?BIj5L&EjSb5eBs=0Qe>;ONN_hXHx(Pj3SDCXkp;M6K$-kQ zc#D%^6x{Mm-~IC0Eg%{^mI6FByH?$NG``|c5?eW3KAYCA^4EUwp*Nzrkc|M(iO=P{kG zAgl!(0N6b&v$Ftz8sJ3HqpSRJiVG%(-#MWriMkhua{Z%@3h7i@S)%NTqa*$K$CY`_ zKndzbTR-K(3Vi~)fJJ^T;?}Ofi!`yxl(8ZqKAxTk47=X3ut~6THhQpe0Ew|kE}A|m z@Gy`s18<9HNRsvUvD_mL$bQ6$T;|X4g{CYdQ)p$itmz$YQx5tffoE{obQC-$S0Iu^ zJtX_bqo}YJkGR(q@&}y*oi-2-5Nen3s=fP%)7u8488zn5#x=u^+p* ze-du?l6(h@5C-=!6nZ4(_kbcAvXy*;B?A`^poYALp3(5XRtm zGo=~n#10+8U&BtVbN(AifQdkSA}RN~_-kB`*g>dx1Pj7=!z6fpfCQ8TQYB>RM;XK{ zlx6}Nz^VYvLijokD|A$4{1)_~r_9q3TBC&Y+Ph7~16t+x=ok_ct|d!mm{QpMea@}p z_V#*JwkV2z(LtkEKo>_@2^}NSP0unA%?gf9eoUw5+F8$L2><&CoAv!ce2W@WlTuT} zWK?h)2*HaiMFV=9U#ot6hnkFcHQvM(9plQ|ggevQKnGMini1D)vPJK;7_7hLcxBGW z)q%ZlC$4IIy&Xvnu%h)-S(S{afG9-{VWW9u>^M4_P7zB-p0VnaR2LF*rK%C{Y0{aU zCs!9q@=$nJZdGVzBOyZomEhI6_sV{6ua(1xlAv5VoM-fXBVBVSD4oLQIVTh!tlh}qa)MGq*>m>au z^svg8taPTeE3_9E7WA02T+OT{c|@yhSFD!FmfLyMKwXg);vfd9T+2ISd8i23BeyOqcm%CqQ5SkAS1`j}>=V@UAonf!5WV){}~ z$Er`m;y7x$q7#%e#3_&)CB}2|G_}IFY}Bh~qqLC(zxVrWQZ3t5hkZjcm$+`zUfqK%FHMm&;wkP&lYr#HJAVB1@;Y*G%M*89 z_cmsCPjDZp+w|(Sd)%a?Y}MGxSnFdxwam+%SP)RYwq(l6H>RByox+d5Rsdk*us5ABuf1AO?25m6S}dd6pk#%9z2J zFU>(Pey(;v`lDz#QC?ls<_-SU`YCR-RPO1cJeY5TS*U(#aryM3@L}F5+Urp>CN&K$ z(W^E1d)nkLo8%z~jupxV?{m*jLI`A5FW&cSxso_7?>s3OH(ZWjGJT_Z6s@ABr8M08 zx^4A3u*dk@FzPqcGREYpfCp3v!rtwz31pTHYn4>gT*pX^w^7`;oVf-j@? z6pcWUoC1T9=_)3r2!E#NR%GF063r{(Vw;a>4{~^&>#Ode8dmcAbA-yKK-;3>)rvpd z#akk){;C(x4M3fqywW%{tm7I!0rb=@;;2{3ZBsNKrHx~hevVlAueBh|YZ!1T1z=J= z&3{qIZTkD$n?=kQoG{FCCZy=-E6K@|>BI-Fwb9zl!C@iN{0{5Y8B5*@vO^Cii5lBk z9VyhW*dJ2go+tf{S3c!J2bpOLCqHVJ^LPiyh(}ypxbT8EC_~qAm$Se5do1#2)}3G% z21G5De&Tc;k6+!nb7!k|(;W?$Q3LNdu4kzU)JQpADJ#zdLb>tnO~kEUAvE~C$|oJw ziPYmJ(*8;T>nRZ%SS^024I^29BP-I!Rub3ys;a7wpr_}X&`?kltL+D4?Q1-^8K22 zadiz(OeERiite}#SzcWwbf}?jU7~ANP?$@UlT_)iEZuo>0O(Ma%ao8<<`bKK&0-Yx z*zDOD{(ol;TR$N|6kZ+^vtw*pw7(zbftNfGwU$P{3dV@XP_ z)xBb86wT{z`M$)3z6GcHM&QiZWy;GUf7T)m@Gyy7)XCd4{C}^&*iMy3w$&_wcTZ!r zg7TG?+qOvjQzu3PG#$uMH1rskcmK!BPuwCqb+8d0t0h_$HbW4`;oeZw+nzK=V@Y0u8dWv%_rK|9HZ2++z9HuSPWJkr2Ec z0p2>2_~s{mu2wBiVpqm3`9Fz^bI|ZQDAQP)6I}WlET4Z=PE*BY9jc{80xy*lfzoV8 zG*fGV$37kJR>Mt|I=449aiU0|5kp7Op>U1`pallyutc~qh&QspQvl$MSK1iosuqWa zKu*`P5sRE%DkHDikZkGvdz!lBA#G z74-o?#K7ulNQw)~kp2@2kp(ccNYG$VzM>Y^mvU{}DHZ?k^a(l)Z$1qR36mBp1wc*8 zYlmVfBgdN}it}dO%ZT5ABn}!0H@)d^Hhjmmc!|Gwig5LO7S@hk}ljDVj z>6$i`gb=r(srNo|Zq$kKIV-i-ad|XB{46)G7!9C&>bN<7`5f`CsgpJvrS_tnFS;vd zS<>$)Xuy3vP0CLDSLUtv7T(OxDTB=az-VeJ?@a&U@v;hGh8$4`;r%N$7!|ZeIIfAm zufgINl)r=?oa9d;_LFc2aciRN4ov@I?;8z$f&d3#A36Z3gWzXWU0=OHY=3Y+=!_wD zP8rT8%xk?_;=XX(dWkc7edZm3C4(=ga(oM4%OlYSwwSsw_8rA6+Zfa}L7(_?=F^hh zrk6~D2p5lhYsY$6HK%-;E5Ixd=!- zmf%jk*R^C+iDy^z>4{?W91@(cpi=$Z|hEQbLvT{JX z!y)S2qEkrdNp&9!Re$S>{b!JmO?5pC1cZuD$(^J0^@c`FW_ad}(&@;QAb>J{nD9a~ zy=bK?6;!lgd(zeD#F*jd?0}L@F5(u*mPJ!;_-lj|Xe|hHat62k4M0T*kTe9;RwXl&gYJ1HyIQ7QM0mg$DUpCJwa0tD1B5G@I(`?`Z0PxHT4`b_{Ku~ zKLkCQn8-M38XFq*1+4{>_^T>;o`2ggQ;zhB8VH1y!sui9@QXW;tzqereKr?2?jWAW zYNZ0fs~?suTk0G4Ktr@?gOYqYRM8b|kr};#II}-|HjH zl((nOI35LHpYizfg}c4@yvG4MuRoe7J9!0`>61kV$)_4m%RH>Qb(N=#-kXOE=?~>I zk`1c`ZaL#9^Ps~Jxn_#-`x>@M$Zp%wqx~5>}gw&V<*O}WkUofwR(|UD)sIveMxEM_AC|27E6i7AAS*Vxz96@ za1z(%JDDZN^L^8^$ueS&_+%SjIc(!jK)<*njr-io?}dzR^ipow=?JL`$dA+ zchq}t16hs85wjhhQ<$(`Wbf*svdt@fZBY&J1cx%`ukJA#_KLX!vn)Moc%9V&Dr{=i zvPJst*~qWwf8)^9(>yyO>sk$s;@qR7B2+fTl z-LH(oFp%t&4*ToS<=2=|b!2Q=m}pu`S7&ItdT4C(C@NJ=+r;JM`SOjHY(P*Ob4h>c zOdmQP5k6_{9Uv2<$Sf6-ctR#u<90XH!;BwZ9r!rQrRU%~(fO9n2uo)*5offu-9cK| z*q^@oCx%c@@rQ?O^F)827+wmVm@7VRZ|Xnp*Ibi^7p-JFJQkS{vdS3ecVqKYIOnDn zPfi7SumNaQAklJ9XHe#8hwUhB+sSb@dPx$AxHd&28^PXz6(p4&exAjg7T@_&H|l$W zL;3*nJ;V8hW8p=a6dPjWG0*8&2f2Guoea&OCxpX6dag1-Ef>?^uN%e^2)c>a%+kAVolX{2s~(~XN++FkNjh;K zWyuO_K)3=Vbvb|()Bs)0HDu$frem|Y9BNEBEVDDle0smnK^lC*RlBKd@YC}{-tYj+ zEIs;Fj9q1Aea1wvi!7S~Ihj|JwD|@Iy1RV7Ka8rIzY6QW0SG~wHDZw^8AD&Gt1Ub4 z6HP2T4r=T2jlI`AO!sG;#tE=P`%XMWj8T_06>nNc-Muck}3Cz8Vw>X-685^yxz} z0EA>QDh*_W5T>;WSV1Rq*XJw)fPs=lURC(p*|p+)PPgY@9y3+`hZa z?o4>@{5K;=?JoYq?!%J-P%|pgl|R9Yv^)Z-as(e`6xhf8Dz2wOrIU|Zmny!x9MgAF z69qndsB?5$IyPi_C1tFq3Z5Q9BTD=5$d(hxaeEm+C0p>^no<15Rtmkf98gsOR`5?& z5-G0{Bj^Y>L%cUlp-~^+DvupVeJ^>MfI8|}prUfi$>^l5>#JKV?wdEGpk+knO})}M zPnU@Y)Kh@*>Z!;<_j@~93T!nhE_T|Tb2e^`r38WVo#h=}0Z<-W>y2LdNc6zUvr#O$ znz-j_gqXB8dLM&whp^dF)=__3rA`+_35QL>lbn<71JG=SJ#RpGrHz9?8$+?`BPda( zS)sJ3q-KG%`4kwwtE7ASfVl?ngvxv^u&o{|8eA7d9HZBEXu<-x#R;? zLFo=&m`nAb2TUU9{(1oLKPdD5HKdegD%^Tja97xD5i41b-R1^yb5)n`*ZLK6!InC| zwGcohc4y`#=N9RS1_DS#U+qF$w)yn!#?-g)`d0l_c5+aXFweA5;57pN4P<8eKdwwP zWdUGV>jh^*&?OZ1^RCWGbD>Z3ckmI=1VQsS5!({(5LMZxdoA`VVZ8EtfI(wPE%&kI zAtrZaFLOGC*ZuOjhGyd2xfLtbYkW7{AuD7x#ocZsE5kjP9hd@?aN2B*ebxVV*h zG(zeKO`*Zx0bO>$t9NA96YhKXMF8{XOfxj2?juF5ywznLF~<#;wW}30LYOI31VLrF1E9l!cqNxE- zGV4U$BMLOuXcX?#a6Kg+*5*XNJ;g%4%^r>y2C&7AUlvMI8)ug4sT+qv!l^*)LZVhE z6cL}pL4@MmskbX0U}0WX=Dn!oBCuYec=L$MAzivQs*IZDwK_dpnNsB6G{?rF`};4w zZk&gI_3m9^b%ja70wIZOMBt-Rr~Oo;rS0(FQIsp$Fi+tK8c$o+G|)q%`JChB2kXE$ zWGvmzT%ILtE@srVT%8B`9`=W*v?K#VEN(BOflba`>{oBKwVWSy(fMwJpB2z^M)1#~ zgHhI^=7AI^scVP#E*g>G_!kfxTNOg%ps-PqL~#X29xzl_;B9Msd#5j_7Qxd0SQCP- z{|q$zSf{7oEx#ES`o+}0*ap4|P$h$J-|ztCW!0OUyaN?>SJoX{))WuE)G`>Wiy4Rf zpTY-MtjR!2C55L2b>GCN2kt7?;|1tjfcDWm%)DUK~0+h?=Zk2AtSLnATE&3cs*qZ^&<6Qvcm?7p{{ znX$`9=nKMrrZH5frAY!-NL=rE2U^^R&!a`Fz+%nNWpfRT)5sVYDD2avL+<57_cR7I z7UB`@t$zQ3c%y;%UO*TCi1B~glUG7N@v_(^$ySp75)T^Fx&r8JmYw+mbQr@fpm5~2 z8wDn@LdAqI@96h47r5~jvG#*D0k1hO+jd`@$`}<@&7kioHmM{pLA%jD$C#5lQc@Zn z!PDxM?}73x9C9z$0{30~gPK4cHOpc#ec!ih#eOF04`=fHb|K?u0E|alr|tAdGvjQJ z*_n2Bie`5mZa$bUX3>y!&w)Mc4<-wC>e3gbGydkT@(OH4)NYScZ1VCG5kM9B zE~3E2eUSP-Q|@`zR&N%JdAqgJNP3@4gz|0jmkkMPUWPLcWzbv1&l#Jb@E`fe%;74% zp7e(WP#Ve*F5fvhkzw;nWCB${Pz^8YxY%PvnE>wBxSYf5tio@DhDJF_ShDvB0C*eU z!c+Tzix*BB%eXvOeJIrO{`uLx>QE&!GNU*_2JD9?E{wCn^Wstk@$dYPRomL75s8{? z(oc-En~&7f7(nus-o|3s=Ki&xX7D|CMT_XHLZ(bJyl5lb1M6eJpCM3~i-S4#md8`Xn_?-P|T(@X0Hhtche~Frp-vT^v zswpYJsYd#uDK2KOy55grf?SH}YX=}_-j0h!!yb1`DJ3+E>T1p)7V|FJPz!(|4iw3K z8D*opf{Pd;@cPR-H^KIFil!ohTOmqRqH`Eg?Y;&XdN8@e!Je2jNS~(nemo5i9N0&@ zPs886toT&eKLnKSB|9XMO)GVrQLxZK9}U??Rz>+mkluQPvg5_=rS3yoekXNfQs5De zMq`hibqp!$Y^0u$sHpmj4Rw<4>l4a^Gcn{ybWRmS{9Oz+dfQ;>$6OVYPDcgc1QTL# z_U#bxrW`vSlG&tT-wQO1l*On#ila^^X!`cFUzjX!>=79Y+yQ<-P{yc7$r`e6`* zRwSBmiqKg)8bC3`qx!x!;?dZWDTUXd%zi|x9vsjyQGM{sC+Tz5AFhsl9D7c?E}2Dw zdgU91OUequ_azlxCR7+pnEn`t#>hVvrU}{Gm>m%8Nv1l0^ODsCBEydtbaJt!ABP}e z6GpPm%$}0duFGdF{fuX$BnISjiNpTfvDzXmx=-gUPpcE$mmKA%rJ7;iWp)Nt9uFb0y5&kb1dn*!m9^Tvpda$%^`otla51&8?a%cWcR^0}(|1#TNA#d>k)} z*apI4=kCTZTQqMl3b*@#RylH8Ohg|j-U*^lO80@UIu8^%O4Hqcql!|koSWQmdt~>A z%=*jF@4(;geVnz5xi2`LVti)igQ>XQxW{THI%D*^UHugsC3_e&%MIS!n0tS z5q7XX-UlYR|1Tq3&Rl%SD>RIhR6`uHWLy&ygbyR}2 z;8Mz`vlRgLtv!33xM2OvhK{jMxaF$9!^{w%83;fL+u`-WHt93j0Z7zIzr0%+>bjz$ zDxTBp3$+trAByk`!199zc>rb3H zx_bfMB;;y3og3bhBFL$ud7MFa!(|h>s92PjK#UKswVnXsObM5Wt74-+P!NM)_6BG_ z?s~*+ILDA@!6#Ut`lsncOsl*!4-uqp!8{v+(+{Se*b^Xzc=&)k3p2nN1osvNW^qjevlFtr7iDT`(9g zE_0p|10TDZ4;2WpTk3wq#Kc6>RmPC_+-BwH*~EcpiPQeQ`VfGQQS6vRwX`_h>MTKr zd$36zZTKhzAW@yMW};3SLZ&mkQv6%~UmZRu$Rwx?`}iyFh(0!TUP4JPlY?`Q;paAB zvmYujbZ_XVReZx!Ms_*z`CP<?~S@T!1_MBsOtvFWgR%6Lu5W^6BuVf}6C{=I6O) z)fKh1KP~L36#=4TdAIz<%-b@_4u#W#tpyEX0oWDi2je!oU0nKL^4y1O0Zaz7c>F${ zh9BMPa6v1WjJH17GyU-4gBOwV3ud>brw+e9Y`lFtzk4bvDLEn4*4zotsmt>aEOb>@ zpJJDNyWvS^B>U{(ll@t%-R8aep@cxG@TjO856hO0z)Vy!!}mn@RCMJJa-IV#4_u@{ zjOOQeAYsc8okC=1q7uq;Ga;-P}-N4AHW1NzvC!L-z4T z?%UeDzvnKL9U6>fg&w@F0X;SVb6h4KL=f|dKCdTiExwOQ$TaU!OcCL3)XWC1Vug-` zJ?4!PI@!KR;7zF<45n#Rz#&XQ;HZJ>YA0O;<cn@u3Kq zPD6lP>}&tVMnolQDDL48yzEl(wd9~cxtkKRj(yb`61i2}bAACKfl3^U&2D!g%Ja~O zIZEin3YotBiF*SQ?;!xp4@?e+M@IUGgpkyn_N{#CtaxBS1u1cJA&J~&^(Kw{dADI{ zHR}8jWIb3=H)T-snm@Zedys|1UvK2@6G~+Da_ugp!FZj|dGkGHQI3-^{`QmLp@kZ0 z>2AV0e@CbNSPzd#O?v*O_Mrb9BO8UiND2BgMi#VM5AVqF0zEj(wL?mHHwm9Vw){-V zJC(vEn@T}>%MBeDqY~#ENTxnlS99qFQ4JM7VkOy}ZYS?A#UbW0%}!QOQu2YGwL+V3 zqVakP{66l1zZt;exI=qxN#OSr9C{Vc0=Gpv_{#;nk~YDVCH%c3mNna=X=(SF2JCne zKJmNrsHv;7=r-OeDJ%2g6+PM9o^LfXb@6LhIvh!U1nvCg+AQT>Eay zX+4xcQJe(h zeN@&$f`GSaG|V>n7V3Pv5k$y^8pmnT*xTFN)}VX1G5Lwpg5Vw{#nZUhA}xHrS05V1+6JiFkvCcg;X4z=_qhRTvD!i4|H{-2>gdIXINss+#w8Dw zv}gXY)}eLHonEI9yOy+$7C#IIPGR9xk=g?R@b(irrQ8M|6v8d=RtFsTdlSkn6MFSK zzJIsgAN$+4_iS>4&j~J$z(CbGcHalZFmn78Y!k z^d3aeS>Hi+o=9G5Sas9|ze3>j(QJ6|>2{nl>OA;q^ZP`Te3R|dB~^|FI0wL(hvq?< zrI78!5+bd?C4`wYv%V1m0UisDhzkV3W=4G-8cM9XU+`h(eGcDVimyU`@f3FV44vq+ zXo*ACxf=y(QGHM5K}GMGlF!cB_Ka81kX?L2j1N^gkx~#kg@QTgIT|Pxq!@`|Gu{Ft zhX@6AC$zs-S6M)BmD}m~G>%Jd(`*CuVhMU_MHd^J7pUM>IiL7kITKwso=C@YYdEjA zQzbRadF)`)Yu6Eh7u`6|yhQ}B-PtjTOJGm?TrsB5F8ddbQA<@ESxX6v+~ox9 z6fyRsmvFHCbOsL99xD;u^lg0@Kp8wpgxNpWgD4;Zqj*DI?QGu&=DOk4@gNuJ>waol zN<}#JZaB;WXkapfQy0_KyqVSjjX<67IcbF;lhMI}7c*T8*;pyJmhRrVF_z7V0Pid- zvlxf>0qSi|)q=K55eEkj%lh+!aEfImPWA;cFeuBf?WC~gOVvdkMjnloX>|ZUQis|M zu2yftpEBPvxCj(OySkt3OEXZTcEYex5(`=y5xh?cfo?6E0I7R~d)npnIiV)cqGpM*7>FKoN_chJZH# zh`*|7ZEz`bDMv0<2^#XRlpH1leH8Co-KxfDU}bp24<(5JJ_05-cQ9@x22`kj0A_Ul z(v3RLI&<{ReZb`1z1>>6L2g=7)?=2Fd0rtk`JqVt#U0Ifhp0|`EKE3g4zQph#EpYMIzNNp6UEBN9Cw| zSE>tN9yLF=C6FBG_;~Mg*U5;0=RIYy&+r@nlA_fA#nxMgRrPi2-`Fjk3P?8!NC*Og zn@;IQX{5VB5u`h$ky2^t4r!#MrBmsWPT#TA=Q-~=*Y6MY!f))o)|zXMF~_*?&j1UA zDq-e_9Jy!y&88!E8oTVfIYeSs+?EToa*y{K1fGkrOfUhZy}0rK$sB$ z)5j8MQ7^{JtV^YbGEG3l^q;>P>bT)S56 zQ+9M#m~e4(v60vi*@j$>T)2+0Eyx)YDYF(!nxCy-Mwxko5@1;U5Y18Fr02A))>@uS8cvt4~<(^=o-yF z{hXJ>EIiVj^l7DBlt28-MoO)!8v{#)UZBy!mmI1@aWdU+=rb z{TeS^2Bm2z6cDr1qJfjm4?(_ZAAVKdJf8YJ`As;SD>Jk@+^A@-FX!#17fQJYZD`ol z3p|WS(B9ujx>drITEr$NQZl?^A2fg$wp@;)=nF|7ih3-^YVg-CbM=&fs3x85pjyRm zd_iE8J6HNMGoq|~MvlZMQIgh>t(1=kuEi`@*~%(L!TMF_u|u+zT9A|zIPhs!=L<{f zzd}B3OQ|ny!PR`(NA4$F2%qZ{i31?b-j|kgWC@44lY7snwFd_bU5aJXecWPDg&~{y zx^Ixjcf+mXJg7VEcYQR7@jh?@%)RbEEJ)8M;S zBymI7eRULFu|^>yl>hJ@C?2eGiNxZV@-U#C{SAoTEU(dUaQ~Wh=iL(^%qvQffTR2l3n7JE zBh@J3jhF3AnD9jr^M;jbG3M|?qSWLoxy_TbR&7iRb^k+*0lUTR;P{<6k?%*W;3;A#5QL%pHwD@|$>RrL?$ zdl*l|#r==4xf3^!PoJ^-rz(TgGdVXl1Vm%AcgiB?AV4Eo$tMp+ud=Vp%RZbUrn_E? z=q~AIW$E)_<9*_2g&lrEFUwIp@lP_{OrnF%TqqNHPYXLz$7ZV;)mDa#BQ+wUxA|em zSmk!42e~CVIV*ar)RE<#d#O$Erk*tExEzT7^Qooi+7$M)AcZ$X))|5$0eXOPowv^8 z*)`e8bxf%A_|5CMg`{kSa}7cpMg7m*#YjMfJc?s*nPBS;Q{hhRR~dQ^F&7~(fvXw=(t!NhyGYki?iL*s{<5?q50Wlm5L|un+rr%~7xY=ldir zaxsjm$qVDl;G302uaIU7<~p!AI?Y9;6L(iNAEygA4UOb52T ze}5wq+F+egVLp6lO=km-ES|l?J4d9${;pc-70~~SQ{Lq?ZZ&)58-ArVB+W0l=;U>q z`dgErOo9^L>gcVM|9;XEi-B30Fv_oWlZf8Ej+B^~xUH*;{V20tu)&ahKJX8`L53fC zceKeImA>D{NNMrkPeQ&U@iC;aH)6rtqdwAo6BQjLjMYJv>^w%mJlT;Nl=MSzC|w`c zPS0NXxMZZ(>g%ce!X!wCXwO-V?_4s!fQr=Ma=%H%-R*3z{$`e?An!`5T~!OHpEbDM z?oPV?zNj|lA{!d-cj=vs@XIW=c^2}zYwIk=Mk~ugZbkRAxI%Zv3d_!Jx|ii*YJxiD z_XqtS=$KUaGhSbjw9SXqod7s{6do>cjDz&QQSM?@jLIp8{b;h@W50>d(%+xi&zemZ z$8ou+q0lJJpklFkgz{&9;f~sT(P^1>9#rW5Fv_s5w@Qs#-ML3DZjd^cGp!;X=jfx9j>vx(m?-1-xF$EErR-p{M*0X4WRxEz2O*n4lSENeefb^Ij+!_ zt{W5XT6|&f$cuR-uz2W8`v{`%ZDMY(8~DtDC;Q*NVIUSO1lAby$mRoG5XDNw*!?0X zit)P{+=r7ZqXJ$~|AauOdL@0O%*XLUId(vcVZkrC?ZAt?$Fa+16rhFGP^k!IqfVU= ziEc8|bj~f#IR;I648I9ERDa}0fmDcd|1RfJ#iD*v zdUc%(lScI!@8*Rj1g>gTX6YwOf9%IBO!y8b)*#3fqOItA3-L3DZVP^%<{&XQZ;aOL z$}&5SSEskMYd%O%o*?aVqA}YsZ6zy9;OFI~y3B-h5-tbFH~rf?$BYEkHS|AZ=E=t7Oo*;RpDma+EtfqC;BxtX#O>|2t`^su@C>;=>(6jXs%Z4j5OF?OqtwCd|w zj@>?s8)zq|x;%;661#kPtoe2GsM?G=`c zrMuKkGuMQ&*xRxF284SFsVdBs`z+q+H965(IhW1(?%P|!PM}A+%85b696UviO=vg) z3W|99yFpI5bYUhR^k5PE5l+6vHWmu>HJmbfqS(HAWHmH z;P;|s<=w>zbmV2qzvEYY(m#inTtRkP-q9OA|BQk=ttmc&%vOV(?N@aKLB&SM@S6D7 z5k2^L6pHfg9H-OExtvG(bBen31_NQI3BsUhDM5DC845>z)Ig>f@A?HYsQ@CJCAj+L{!Zr+z8$AQI^K)#ZQ&~#C7-Pdn$(B`Z_hbq>rMI&-JHNh;%nCp?)_o zno&Bw-+f0stYNw&Wg)S6#{MpR)+loDX%C*`w1W#(kuk@vK}b-g6KXH5{PTRDk&hbm z<}PihX*9IILE#9>3;y_Wg%oAKXNgIj`FR#-lDc~O`ayU52M6_^Z?}C#UHDDDi&H$H zzgT{+)FETh%K5rk{MOws0|rT*baSQRueKI|!0X#~6{*7nwQR++=sc?E@-_L8foE8p z9Z~G+jv6h|Gbj5Q85EKwg^G0aGWio~Aj&{#f#QuP_%EMBcY(s=#>MjpgmrbK2+jnm z0jqq;kC;!UlO8p^_F%Fj3``m%mzxqYyDvwPM4+9r^Q8N*9sCBE_hTOBs4BhAXY|d(dw@wrE%Idf2TfQC z8NZxd0?0a9xE4bkY_L41NUy3|tMPROR9BlyEqwpm?EC-eunh-7QvS-GGP^?|C32PG zPlul0vkjq_O*X!wQg#hpJq<}(u+ba3Lkdq7ngXNF# z0;`8+tZ*3yGaoL;W!8vpY8AaG6}?DNOdUcc4|I^5*Z4J&Hd`mm7BZW{>&THk z(&~gmEj`A!b&UuY+fTXrp3<-+<)lqdxLo5{15pYp-5YvA(8U4(Cjr0v;{@p+lDBR! z%W-9po>smc^5u{I$ASQ{p#RA@%VPDnkky=r(1DkQ-3A=~n>#DJi?`#V(9l!~wOw;c z>^ag&pDkIrEcY0lSq1;}aqO94b2L!rg`So0*-xt~%hm=RXcr4Ap*^Fue}$~A>wnI1 z?*ivID-OKWBV-|uIq66Nc0EI#V^-Qeb3tNto^RpJa_vpFX!?G zau@Qit!W_s_rHyQ_FP`%)lVmGm4c`u&D@P#ndxZCU2LbrM1v8Jh;Zha62skMnsQC+ zE%cf#tdjI+j>iy=L_c*k?m9D@0A*N z?InFXDF^D>jVPhHn-(&Kb4juP2aGx->sNy!-~?XE)_;oa^J>}6gn{=4!!Eri+Qu~N z`RBFEstOQ=!m4jMF8-@eE7QW**(~I@@s_w-8Qf7nXHR*Yn$q81N7K{OoBj}Q-hfzT z^YWMxKrm7vK&ac2NskF7-Z3{L{|GSVs3{&Y`DRv|b3GpR2U|vzS0HyDM;+M(sPJk8oa*@B z6B#}bgoswU%Kf&C|KK6z&j_ggR^h*UE)PekXmcx?VEIME?2KP$92Pu@EM;sRYm%^f=0>G*x<=(ZmwePiVJX#*7b|*)} zb;5ul)N)>;q8Jl<)>m20IywxeUN4R)Qb{z-vQ_^}72R*!=H}h!cb&K0+<>&X2#Prx zZQk?u9z{o4TgV}A=N;tjT%~dye^fm<(CaI32#rlySLRG%F-FuVbIt!wK)Tk9HNtdrGb%UL1++Z( z3}NHB{ox}70xnw`1%w=plvZ|!wOhZuxe}I`8038eU#BaM9cfMlnoOm?ooQSg0mrsJ(-!e4izlAv_49M2Aq`AY zCAYpk5N(DSq3Qm78?7B_j9t6Ex&4wL6;?x5G&ix>)j)-u>J$Q*TI-AFx|lHVucEnK zz+)<03nlG%hx4;x&OQ^b1U+~#hWJWy^%z^;&oS5vz3R z7_y)0vj6v{K|uI@b}A|+Ch+VTCX_cefigV{c>5qnq(=hXAzc*;I_`q631y{(@;90! z;V4ty#&bD{W@qira<`=Xi9<$ifldXLTDtU?XwBB%$-(@C^64fNqsay>i?xBDk@bfe zY|@_#`ZsD2klC{bf8GR|(QBzaHN9xVL2R}(`a9;CQCHh>#9SPbO(iq_GO_|kc^jdn zr0+GsmKyZNyDZH$&S8K>Z4Az!Pq|W94Z9PRo?7-Yz#r#4yU#o0mlp@+;HndwJS5ICmAc3N7Q@)CRtNK1Gd4F2mE# ztRkKHPOO>vK=D~vOv=?J!vDk=e)kBEP+v9*D88~hhZgCwy6fc-DQ+BZH24Y%`JM6W@*}1AXkNTS|x}|f#6kl zJh9PfdL_2Av$KNOzZd=Hr3Vji+$^3l8{IDi9E+^2OH{4R;!S3T?p9t2adx}w#ag7s z8DY^;WCla3EY{vpme$nq$8p$HX^z8zfZnTz^5Tdl>y96JP3xx!92QASN;Ot09yX>~ zN=>>Cg^;&R^7Ii|*GyU^E1gI#`@Lyzwg=1mX20Q{&epgfoL)6V`yAvpDQ%98j6Q~uaw}%BTcWP_%=g1iMx`NrA1~kH%ixx#mX;I zU>Y}iiHEb$+mIM@_{4(J4u*@^ZZN#ODl-4d?UaTuCAUD!{o|u$YEgC5E~tQl-*L7E zU3ywWBwy#_lOCEj|qX3+(OmFoHZ^ z$gv>~f7+z*6dB52B#p{hj^oTbAXaUmsD8v8sk!>)Z!6fnIG)bePyyEg#{$~$iX zi~6lY^nj66sBhlGYeV3sO{3}2MW78^~l!NAZHFubN?NGrMNlx?y1Wkcq(-49f9|Gx`*M)fpVbe{L}`FcfM?9CwcuUqwB z#St?%;_98%W!||xd&n6N{_n{9w4iH4jjtDS;-IO^0Dz?LpBH2<3cFG7N(=ws zilsfY^uBJ4)!|I%z(^~&yDG?)cpHdfwvt-%Qk&>GDjjS z+XYfEJ^estBSU3j{2>iRqA{LQ=Mo;X`a^Zo10*sU;(aRK|v{|$NqO|Q|E0X zNiAhRXv_4b7eJdgunwq zF2RUszmP5|Y~FidMs^ldrtl$B>cYk&O48;|`J#Oc)i(50H}{61gV=w4zB_71YniCH z2EW%Wq9P|2%df4bbH(0!9N*8Ec8hSLhrE!R?Fgk-Ct~2SftpOCe9Y1}IT!+^-e)y@ zL8ULB`7PVei3cu!lwembnN4R%oo@u%5ikmxw@Y;Vf=2WYE43Pd?$|yqXgb>K^$&*d z4OfAaBI##0ZT&v!R1or)(GxnCej+wA166NJAEpDVFX=}l>z%fmes^=(^dMHs4u9vC zbs_}^lZauyK-OcEPfb}d zu(e?%Vs`IHX--_?+=FVimeC)hx-_o}PHl77rjg5Rg2(3@?Mw#t$KU%yszzKRuUoab zeK~FktX1eAey{u}WWgpiV^{USLHKo^eeT&xESy<&?2Y;0xsmOtL8l3nzac<*gUIy+ z4J_vZBh4hMnfz%BOpCu(-tmV^HC?=47R`N^e9T6y$RA-8e4Rb8BD}v3&X44iS6r~uLwd_v~$rAbL4fHTPjmkaJIQB z?g_7d^L`#eQZTt=$2)X&<1Y6b*2~i(JGX9nn=-7SU;JDvZ0d8X=xFK7SQ6rX7Bb*n*Zx`%LgUC#vXosVWC)RxAxl%2qxtIV@jgUonKU(sqtpJd4 z7E1Z1Uizc3@Y$Pmfy}3E;I{^FU-GhhnlPRPn;WcfkKCEVbmxz*fLDMR)$9!>@`gE&d>r@S$MeShX+X5 zgt9VH_PHgpwYXi5y!RM(^*)B=g!-W@1RkMn{w$Yu7fZ@(Jzv1^oL)|r1p*?7fp3&~ zmrz33_U)wWmWq@_wR%JMn_?=>sMf(+_w#e%t|{9LmPl$y(^86{4$MJ{CH+YZYWQBk z0V1aD;GO}MrKNr|0ur=*4CbH%h9_BpF?J;drN)jGxm}Q@oX<7W;a?6H;P=}1yQMs} zD(|*B9a<8-<>g?IdRqOsZtl~|uzG!EnZ}-4yQpPx^a@XF=p_4xRBgYNOJ7{Q*If82 zQ}h?b`@&TQIraJO_~A7v(n6!@v=H?YmSt2Xef}->)#PG(as~>;ZN^I! zkg!N5$Gma7WysFI2L%^0P9C@PBtN3wwLJ2!EUpu=_;0#weF=-ipIgMEHoGN@livZF z6Bei~u3(@7O*-V}@1#k6IH&ku5ABiQ%p2%@`4O@8r8T*o?{@<0>9sd1_zx86iJaB| zumQD-ywcCn7m*9$p$M>%*I}(PNKNz$yivr~|JnAeIJ9o*aMI6Qo`fm$R&3t)w|(QW z#^tH5k6*6Ln{-b?&FA+i3^6fPq=kG#iHTl7NjNUg1U9UQJ^=xI3ig!lPQQB`aZKd8=rdf-ryn?0OU_8PnmWHday^Sg*3rg%7DK3hWk8N51u z0XF*BQoyZT4CqhqKvq)Up?n%Q=U)+l!fEHleAzzvvWIvj(te^mRc@TIvSehv-JYEO ze{w>cx#4_Q%99xISi`mRWkq2N)5td%Dz@RKzLS4Ucjd-{Rv-WNRYm4pwm)2Y9B?gV5^k)+7g!pGc_hZ z-C;}HBMy8xG`vkf&YDbIhb)5!8LH$K9+vdf5~e&Zmp51Ugu6maHrClpGlDRc7#T?( zg+RF}Zr^31e2(^4i^20Bx2W30Wtu_d2?iHb6S+&x=~M8JKG4w-$cJ-29H)avYne_A zXxy~Y_x#j;|Jr1~?(SaEY5VZ_hxwlxmb=31JyBv8p9`|fx+_f2v)FaD&AQBuCq6M>3B_0@qmRUG%Ad` zI-E|fRi2rRxXZml?lcrg(V^XHhY$0=&Hdosdx;&rgY#f8qF`#u7VpBFuN}46xiMM9 zh8&1@GtBMkpycXe<4j#b@$M+5)Ue5HIU}59G&!pPw>_JCfhKKz)7$VvTCPxG-4bKc zcWcK1>)FAwZp0K^7=pd@-KVFsSG`_ArbWx_P6aHaaT{G#K`Q)J?mzE^@9I+^rzIkjFkJJaJY0G5k@@2GQdm?NeN~45<4gZ# zry$1xZYpv+`%`n)6v4OGq!j>O_Pib)=tTwDN)5`cFthIhziVk@`iW^{gaGUl$Q~UV zo^x%8syq;}XMm{WZM8)%Lx6RWMgwO7*!6^&dTMN*i48EsHbk)Z4*m8Wh&6{uE|WYG z@UON^&L^F&OL`T>tn(>qD6mFUhm48o5}a`2#&q=U6G#3G_1q)lJ_EBt%y{@bh8f1% zPlk`r<=ltb9CJWA%$1VL8G9bBHqU+BdQd@v@=0JR5R6Bx%ovv);ga<7?u+Z`|GT7c zEL>2D&V!}l-Pv~>xre+O&^VEkzuSrHB9xFT!upy|PTKRj_ zfAh0R<@2<(o!E=KJk*`{Ffr^Oq5zX8AeHzyVbvCruJ;vY&RP=O(v$_$67@}vPy{VEI4Scnx( zbBaECDD+V}W>bD_OsV|(0$KwQP!*)I&!y|hKK!DzWVg?m*vy~fBBES_U$nD_E|f!t z1QOs?KR!A+*W7yLeB*J7|M+Ty*l`W>-!_PFl;k-O7|Z zT;X~ZE>;2I^qW-*DO4RNcIk^dU$u+Md?|}od=Hs;z2!vcNA3LKlek_CAfEUsJQb8c zn}mXLBD#!;vlInWPTb?=B1-EnKnNj31z_pK?R7`-a29l?nz%7lF~jHy-ASK#{B^nqBf&3G)qGV8FM0so+u2pVs@);%mK@_;;z-SO`Vv(oZpH$&seXYQd zvEd^+(IXlmP*VLi?9X#ss%rPT-ki`&%t?_fL;sfJ!F=m#pVjx_&DdpK`+>wKnscf% zd%|;wjIUd~5ok@R+n#6X!UtJ5!q8mrq2=U1qO4YoR%Q0eZ41k@NoSh&Tzk~#KbC+0 zy6PpW!hI`Ck;ifc)hY(PCDlsMI7g^qr8P`sB|3L+Ki^7d@RDZyZf0-+Vk_n|M#2K* zdHLa(%HL?9Qd?^?5-oT&&C-vgIj6m`p?(ntGNKYgmC2|`0zj+u~U#M zwc|iJ3j|CpaE|k(kDawd6N+dFK5~JN9Ab?3)2=%S(<#^k!))*AsDa$rjWT%NyU7QF z2E%Q625nX^c7Gv)B)m6o+|ib^vmj9r#$tvhaSUD)e%JS50Ig^gU|+pCTo}t|Y$`~j zxcWC!^rejsR3m;qSn4I?)zL1=nVMOOPjVx)MG}g`Dh2PkK4ABSm#ouZQe6gW>xaN~ zM#5cJ>uil2z4gHJ2+Hx91q0qyG+1{bj(ora@c-9}>xA>~&X~pN_EFr^^8J>=P!!U2 zWYx^1C~^FHo%d5r5RNs!n!T4sC~ssO&}Pyh z<#i__jQeHT8@)7~8{fFem_~a93WrW9Q=2gMy~JHyc-*%Fw5MT4vY@guzPN+yd2R$fifon)pb2s+t{#8IxP^Jj+bMC zG3*iAG%|$j3!ZndQ8_>SF#SF?$G~~)uV24A<9LrXU8I6}ZG78dE)vv?l z$&N%3L3KBDd1x@*;|7y)_2AH8z=BB#JxTVijVuImKz8Nr(2%S9nFuz|ZB2959p0j+ zrw7f2B^Pu+EYD7y?sD5+wfWg8@NyZyD}mF3gv8^-3VF65HrO)a5c;yHpD6q|*+{mc z_<^#rpgv>}NGSQEu+u#^r)=Anh`<7*cp`a3gpD?qTibgo=W4};y1)==bkJm|(kEan z9MyYnUvD&oW0K*iNqp-C*;Pv#8`j*VJ%NkaaRK7>?cm@&z`h5TWXn!Ar!4+ zI;FcKhQu{*dEbr7?Hbu?5Y#6Wo*(QHDRu|67@#}AzPz4f3t&vdHZkH+2U%KQzdZR_ z{1oYvMjAe_gi`<^D+AxeI!`jB8hf$Egl2hqfJ@EYCSReP@KxIw$V6Hso4*LN&*5b6$yGe$>S&u-l0)5YxU>_-06e*PCT4c;oB zpPzF->Q5%;<>j3xcxU2R>Ihcl=@0+0Dz}7VRM@z}NgZ(ubDg}iFZy{Lx_Xk`MSA+LWJLei+PJ)M=0%b64F?BHE3qE+9N;DZEcO zRQlX`qY);~0*OQ654;W}1d97^LSBpe2KWAqv{d7n-*o8yJNS{Bh)GG8`Xd`(oo4&1 z{nGgtB_?KjG5Jt(ZrBeZ^SC#A;O4Gn|J?@M<@ZNQ+_diRT-on@Mm**hST=8Tc=vnI zU~Ru12^du12)_?T*`O)Bp?u+oJR`{3wwQb_ATyq-+M$FSEY$F6MGTW810dWcHC3KhOkzfii) z9n6FOj-CWxtmETC@5l&60@96X1VR}=Ih*pej${vbQL|lEGao9vkqmu-q6;(Lu1}X$ zZgW!PqwX)YUV`|<;07z*>214gcfM4y52DzX2_ay*2>v|yNa zOJt?k0Wg!dWl}pNWD9LurJ?CElt43`h7M{>B`a#j1x(ba#|vKqH3)Im4ypA24rKl_ zOLK(ES0y+WX_9fLZY1~PBeElxq6zlr+9>cB1Tv7`Nj%N&$b=n&-+=@s( zxfp=Q)Q}d!$IaUKvcc;b%woUwNa>HydBvUASoru`DCwIwC)P3T(hKEOcT2+odU{y-SnvC0|$qCeHvRw zaaN*Nvn`@dIjPiiFzoe8HXg?MAO`e`A*($%RCkq~DhHcinpxb<( zmv{T=Q|*h|4jYp}#{C}(%E@DYLV=j>?6{>T;6M>-bFH}=pEc-Da!WotxdrruO6NuM z1^$`$HTy}se;K%#VLzPZ0i) zf9-Lh6~FuT*B9{T@3vzTQ)7JQhsKvur!o;SbzX8WsuoI}Q33qoZ@zAB-yig3DFUp$ z9y$ya3BwE|*w)wg>h9RB)FczbphB4Se55iR&|tY($A523gj%=Qp(A-198gfH7wq3Q zKD>(oItdNsPsm(^-{1@n77D<7vAaCT<*+{9R;Lfrw$d^4#t0ccKhm>JpM&_i!#j6j z5-2jRl*D;4g{w3UD>nMQHB`Wm359sZ5$7|3^ge2Ep73Gp+z2O;tYY~6>Qq3GBct8| zWL^&Iz6y^4DMHYihmD2`r9Dc(>WT_BW#=(^Hf>SiV%pk74!04`ogrvvUSr zxSVXWE%Kwpp$^&hpI2mw`5DaQ9UJwrfqT`P2CRJaVt$tl`*HHk6qyv?iC zrMx)_Km7H>>Lm*mcklB8+XSO~igDM{BVDh# zuNo(_94k6#5fF%-`2zO!38dCYgE>D17jlWd(9$M#dtv(ZiUQO5IMEFo=;S->ks(pFi&cF zS<46Fny6q*TO*QaFv(4o)K=WeUwx_MmearVZQ?#IvBfawog&>gih!ZNG{>t80|_yC z>F2ti!<~EgF7T;Y;!#YsqulK{Y5S}E7BD-b$pf1(S+uq?J(5ArmzJ)XJ>^%Ig**1t z$xlw)kXUvTyd)1;&n3R$iAJBf4!C-sWJS6*wq#X;Hu)#4KDRLESIU@Q81ZpBBx6+w9I7pg9(xCKDyN8tWO=M6pQOd ztWvc1O|Hvyi+}dMohf}K$z%J|2feS*6!^TlECDk>nImNne+|Av>a|y?o_dy1-kw@| z@-Vg#%5Bv0zO=@wskFRdicqsc`a&!-m~@{QiA1Bq@7Fo~z}Rb}l)CNe$~-%@I|>Cd zRbjON4U@^NPS169wP63Hw0-p9!bnx<_M0CahH{s|3-^25ha#($f$GVtnJB_CO-{|l zl8@4sbKeR$21`}NVBsHK_Su}zUS9a>FLsSr?C*TawB}T8de+*VN=+y%Kff`c-0@w& zz}bJ3vi3QYbQ{Kesz5`J6wy8TU5DR-I{6t7F_g=$mE^;;zs*DpOsb@E{0y4HaA+6e zM$o-t5zz0=C>QQmo97-)_0~SjUTW)-R(?#~ALV&$9!EBA6@l$81SbWcGG!JL^D;@q zQppK^y*aa%3w>pWdeYtPQkY38Z;2NhDQV@ED4C5$`xt2vll9h%_r1t8fy zo*@uP+Dd-HaFeF&?FGo72&d4n)dTCX6d=Q;FE4%*-=*{fvr)Kr!rYl~b-|8MZ@D{A;1)kH zDZ^j&{;$&jH&jC3y!}2sdn)7uqrIMu%dM$J8W~YPCGLV4;c;!sB~jzEyxO@ zUf8L@SGQc+u{!Xv+d$P|A(hN*i&($z$#e4tZUxKJfV9OSErUH3PSF$scD%bUKx#n7 z#*0hLdy34JhItpjDE>UFdpG#LlB>~HuhpR%^%quT&fk6Qaapz48JI7EjO66Cj%rE` zt$LRJMf>15V8^MLJhN8LQb3f4vd9zK_h*fZ2Y}=j&iT)1rct3=~t)a3Uzf z;j6i>eIQiPrua?bscdi&J$Mh6RoA{uR_$Bd8xg({7&wqPj$2S`eIyDYD|!3)iJSA2*lfHEgjZg0#$FzEZeI(Ghg4v+3=B z(DgmP*AED8WK(Ak#g_D=s`bDG9##NKvZI6~luuId8_|0nAXut)NM}!Hg4FXLiuMB9 z?cYD{j@sIP9#0;=a4s-=iM6Wu$<|}km{WJRXfs^2(A_6~d=8sdu>FEF0>KK~d)Nvq z7m6^&lB>c`d+Z79)%M+PoIOuq0}k%`TPGy8`{RKzwR~ZxIo8aifFApwx4Fmv(i81g0X>&gC}PSb2*7lk>_a;$m_0%0 z#7x1>Cw{3eBNpRhxBU%X<%6scLo$AN zhOLbB4u(isWZ~l}6vAc>kme`QdHCZv+<1+K3{&_ZL&TF6p#c2-0haFD;?XFV8Vu=0 zyQ1SB96_dPAmV4eajy_26#II%QE^8uu5o=blS$|3pNx-4S+RT9$#hrs$9aPOtuTfI zVmhmoCLrqOPd&VFi)roE1&DDltVP7`Gi4vkez_)$M~2C61O+xPl~}3D-}>3|0?i6W zxB6v8s8188nbc<*2XNLLM`6bLzQ#MoP(9bqL=Mdc0uLTxiOAZJhrM~9?{&Z&J-A%} zxfC2@l7OZzlt{0FvKb1?Pm_2qj690vva7rxEwXqRA`<=rEP33_JFPqHQPe7OCzM}n z-n99{GQ3Vfg}`l9eivGAl^F5d?lqNB_+!0(w^^z!R}=I|KcxsA6^@A{o_Kh={kOL~ zr>xn?B6rY_wzj7{U~=h3xy%iwr?{$`1N;wgH4Fe*4J#VEc>AIq!7OMb?2$vjOXt^tpB>AH}gh@@XGsZ9k9-n=Ic{io(0s zALS34)^9t`@C?6z!kftQC9&&EUOtjU9lQ~F!}-aIExsw(?R*xmi<)CXo`ZE}A84>p z8#3f)f8mWgeBQn0rK_>F)N3(N(Sv-Xem$g{R@&gklv)*p6%dt>05o_xPbxL);oGRh zgO671K?x%nm(p4mg;#wsI^pOM|5K{D@38;oot0)6$*`NNuJ9_sGz(vaPlMckoSANL z{#Lk=$iTGl@Ryr^x8>p*X#>N?U1eVB4%UI`bQ#Eh)--=^kX98|5r?IQ$<7*3nVfKn0(Qm2r*$Vk`OjLi~bN^^~*@oh+n`k3?P z-fMZZNNjp*1`|s0VNDq~l}FHdLR5#h?hLEG`0q6tR^NG|cSX*}6krf3x%`Kvm(8+ggx{X&7)U;$eo+~cn_&5xu zOIv9^&HlD+L>5OYJH~yl*LZ|S*-x>%EUAaLIpkr?e)&_wT0*Pelpy_YnhKVMi$k%I z9QR-O_@K=6F(iGTYk#IaI~_p=D}Y38qUJ*3m@K?Ln?U?Uq?ENI_z@8QJ*Vm(4oOQ` zr5Y@-98?aB6*@|%%+_UV?*AL-g-qn}*dAts=Zc{X*B6tSnR2CAx}MFQu#%=%4BIHdi71a!}pG=&SDc87tPFJ>E%XO9KWB zPKEte6Z+UJ59USOiez@(h$_wt-oP8d)*YCvP~x6anhFjRRCPl_kt(_ekKjnj26oqX z#2pSjCfgu3^4x@;ufA>v46cvqD=)?U6#^jV?S7h|pykRd`9oG2A5b;7zW3)3Q^49U z4A_;bFYb#WC;Yw(fyoZG3_?aN@4=kH1o@sqb9U!ZO+dT=YvrbyPx^^Y{!C)kKRf@~ ziwPdG<8wX%w#+*>x!#b@t*ky>@OIaOSto4T_b1P$abDV!kUrvoCTD;Fz7EW)!%Sw= zLf$HDU4_EImkT^3ukn`7CP&y_H3YQiq|!7N4~sucWiN*$n(}1rs(ve_d~tKHkW!Ra z2-|#V#4^WwEkC8d!zYGBzp2^gxK8z1LpSvNgS|?V#5Q~}hmCtA6SnvCObnS=FtUT_ z!e0|_5Tle}!eH3zSyh!T`r}*iy<5Gb=DE%2CCiI`dCUPCK5W2ka*2*yu6*l!IbkLw zOhOPwi6KwibZXcWcFjAxs=>-1ztd+I=5&A3%f{_-V7$N-w!V=tf())J&?}>qA878q z7Mp4(q zCr#&+R4pd@Q|T^~vwi@;2n>=B;?klfFFc_O?>qGTF88D;U8-7^2P0+!_|BgFBt^u`9biRH@*X+-fX(a6LPnOIS-{foH?@&{I z0&^yGU_{Djsz$qhl%lHr^QOs)cIVn$TMruOMw?tG#g3BM7Cueb8b7T!nwg7-c>>UI z@lkeQXW(0xA$83%PI%G6W%(EEc9Sr9(%lUcskoHQ+&nv|bv~8NJT*}>BU;l0@0d#^q>LiWMZgKay}fq z_66IyIQYUltw)!B$kzbFryfMnr(>e+{xaRR*K4E~7StVM9|?#_obQH#rIVdo2!;CR zaIauq2qPyvE6_4}T47;hs$PPKd08~Q;bm%~L&hBBgMQ`jUY0+3?&!CTkw?i=$m}OFiT+vw@;&)MJOz>Bl?}-3cY~ zk|&{dlgw9yKUM37_h;^7x1K67!>EIt_y@0k?%N45$?SccdGui$Q(vhVvc#M6%&B}k4FRC2fjP1N;it* zAN3~-?ddSYb~~hwPeFUJO@&ACpuql1JxmxJPO+kfurxqv=w!h6sB*#qn+r(Az~eY1id zu227rtmFq#06-oE%E8Hiy@US$(GlZL0 z&E*H!{Z)N~>mf+K^27ekJ`=8VAvFNSCpY$UF>}D?;^-S94!{}E*`%s2Ws0ke*qO}3 zs`U){9Sn*fus7q-@nf4T;9$WykWt5%6*Rwo=;}J0=ETLmWTSsU7=Z*Ak|OYkvee5= zbLuMU+xnIV-3p&N8z;_D7N-BOs9)(HA1p@GGsD1jn5O`Rla8-*#V)_q^rF-$piQ3c zW#exTc$|14&xyGx@#*rjZ-8UeQp4iiGwdO?+^pbsLAj}iDYgx}|#W_>}WA4KtK ztg0QZN^)C1VB(J)DwSmOD0sDPB zr!c(3Ktk~{YJA;kJlpgO81W-+r9Ve=ypQf|Y8x9pU5?GtWOXE%J2|`p-F*QUqCQ3O z59m|@Dm}4B1{~XmZ-N4(n(xn#dpJQ~xFLn*7689EJB`=QnA_~K8>du7#y*!Xiu@6# z|HE$4YA`Q*aF$|_`j4`A7TSi!sI`#|r((3cudH)1S>Hg3{n>+BTp+fugZuKiW*#hu zXG4>A-L${g{4bK&zRbWq3>>)z$BnYvwtalUTL_P$)I%_eO+EHwWRSc9DiE-lg|gR&w2SF++K+tWkFtYz*M< zh$jx#H!tRZvuzwO5-e%(K6lL_L{osj|6KeAQn-B>p-ZrTY=#8jd>k%^8*mQJgcdy7 zcmx(K;H@_2pa1f{KJ9$qhA|B-n^VVM82f&P>dw}@x}#&E0_%Z`N{&=4kMB(R_sN1}BE^3$SU)%xI{cbf# z%0vBg&6z>e_%+gi_etp;fN*abFY9-wBM*m^bJlF_P3{Fdq|b3eix~^w5CNs@Y*56{ zM%Dh#n%`|#U`t#1iL!eC=x`XgMl%mGFrVwP%R$*v(mL&rp#Gs{zkJ&?Ws(}3 zfV!s+HW+uEoo?Z~I>OAIXvuTM?dtBN`BxwTy~5-D{kLtpG>WmjN6T zQ!x`6y7=*T0#o|7ip=srp(bjs6GYHKw2?eto~WeBfS0HQPh%f2<}<8dOZ(1{K%t z^T`zn105Wy|Jn;|^T4bBVJ;#Ouf1FnbQ*4DQFZc5R2BvbvxkET`DM4Q@)6<6)b zEA%umZcpf>f{8pr%5U1G!(~AX`a3J#7Nm6ozJJk=?$_QH)wryu((fTrsG}VN@SY^A zS+df3fVHyizKy0&uj)AN8!+WlVLjII&8WOj zaCjS`yB@v;;6`fJVB0Jps=idzU%d>v1KAuIg5$_T+$Z9#zrYC@a8f(Buj7vQqxT@z zd+Py5%`>5*e#JizZ$lLY%=ulv|0F43*z#6IPi@MtiV?gI3fn3)33oTA%j`gDJ#e-- z-$EQZQwt8xOYhB>UuzK8yvi$HOy_^#W`F-vP5M!2JQfE`AAm$TgLpYjdL0jbs6HAF zSE5D2Zs5Ke2&}3N^j-*9Eow5GUw;qo4LJlP_rBO& zX4lUAbzD#zdeOhmK;(JN&Pc7F{Ehm`Sc?MM(7q}DZ=XKgEZTh>$O^?%qI04q_Rae8 z-eo?c;*Dwy3GDxLa1eJi&)WPRy^@CoC$I~*7FS2%Tnf&(`_D2hGO?PZHHqK+*Sl5j zECm9k89D5{`F~447Dl`RN<|I^;DK2Db1@s~|Ea2gsr%c4z znp#}+Tu0!~d8v0iKRrP?V;94DuhXTNCg>-)Bt^VN_R84_oYzunt?eHhD4L*(`M5s2 zoCo?0461W@)ETw@k>0Nd7u?8q1f{O~{I*YgQ+SW~iL@$Y?5R~J27a#esQh_D>HX-= z-l4g}cZY~jIdM09h?$)p7Fxqz@jb;4;|O&Kv11$jOqF56De{}Mr?dUreS@~((LUnDi2X~6F3QEwVK96$$;avsJQ->VagGsTnwzoCg8oX6qA-#S{BI!MT zu|)=#hPb@91|x-=axXMMR{nkXqBoG zMxQ0&?v?*FJA9o^0y)t*x}+VQMf~i}h#U6;o!$W&4HSC(q~JZu79>-ga`sr@XpImy zCshbsy9GXTCw$(1*?k98`3FY}KI^3-_zOQuUh2OmSs`sZ{7y5-U@fAnKsWNJ9uxz` znXS_2hJ=CJsb5b&U8tGa{GYzG0l~P1<27(g3=~#!Y20C+w!T#P#Wl0|3+K@t77uL( zHVyIe#0^ zN3-5~78%Nts57vLMi+umpp>uxVRjGkn{Q&VT{V6->)zAg$_(m(agIn+A{jFV@8{qk z7)U1ny}&xpHNpjzUL`viuiRz4R!UbE*G+HV|I^S5K>lcw^8LI2W~VIY^gxH*H>n&W zrH!7_jTmr+pM*&L_I5#4B^*%2^MtzWi3>ht>~x)`uA87$Qy5RIDp8)0xkI0ThmpU- z<|uR0b!TI@pMUU$f0{pdRxlDXcMUMzudd&(IZRn$%0N8;TSy!r=yCu1RUCnIE)<)) z3oh0(nGc?7;}-3B9=;!t)4X*R)J!YfXp}*A&sZVe!Veza=(n7w%lYScGWUKNqDAG7 zCe87qZ{}UvTvS2Btg1186^_U+)(aGl`sOYX9b}}1t&(4GcJGZ)J#AZKf?6@>9_K0Q zP66|MJ~NGMlTevCq4MsfF?>uzBNEGajYRUoH4ZWDx8WB8Rq_?JUAv%j@>a{a zcvuTHJ!1YWD>t`g>gH_1ClTm0vfY3a`OG8RqDjviYd~c{ae(RE_{#Yzd4|1?C@lo_`(1I1*32zsp^QV zS}MP&JZs)aD4d`>%)KU4p^&?{n~vUQxaT_s7>xpqvmb`N>RQg2lzcHMqxMV!y?i{lH>^d&xIaQ^2@WC?(QLmN@ z>Op8*m>tMhlmDhFI;Y$4N;Wp0spV8}4Ssu7du7josf!a^SGkjWw}4E2s;oHx%+sq^ zfAhIyPC`GkBY{iMt^1Fz6R>V)m$YH~PpCZ8D6j-lNpBPCd3kY#8JHc$b=>T*bd-+g|(u&N6%b* zIx)0PH|IFh;pn~=)?r}fT*4f4pHZv&gU9TypYWsHlci!V4|vs;&Ugi-T6wVA=BpJR z_>E|h%%pYWWTEWTU4CP;o;gR~HebFE8$H5Yd+x>+O^+x{#B*M4-K1gSQ+`hqGka(z zoT{&slugfA#{Htxow$Ybsk(wjM#7Dea`(DL+09nE<@KqRY}d>$1Ev}!>dg}Y_hmlz zABb1P$UeIJ%%yzrab&2JFprJ{V+}9jC6YUY<0Rn+;sL+?cQVJ0&XM;z5pkk#92~+g z*x)zPPk&`w=etKwvj@$JKh}x(+NBDYRk~+xCK>Za7D+;58f+bsn<-c3eQr8*vwa8b*5m?} zHyJGsIZS(}#XYrVzKmvAPK*{bd+12QHJM)JW1bcD>6pc^oM_gUgz||((&h< z=*0YsOq(M;%!Odxb7GYxJasTm!*-3xH57kE-R}BVUU9x&{Hu4o9dcp6mD5o;je19u z0;7f>c~kYe_#Mi9uG3>@iS<7x*x(hlhZZ{nvd7C3y5bwp$1r`lpRGM99kZo#Z=Kh; zC1u^Z&yQ4B6~|Dh#uwaZ#j1%lHZePflZ2S_Wp6yku0-bS>WJAQrwprJ)7+1Q)l$H9 zoEd9gAYKykht9WbB~H(5P3Gi3b6lG#>l^>r@?jJ~D!lgVu$kQ01TLTS{O!e)Q+J^V z!-g%bdaERavlF*XSVcqnV#0FBW=>u5EjR0_1OFWzW|^o8&oEbO%WEg6t=VI7#A6tn zzWu`~%OXV9)I`E(NNJknDr`0xHA4vlry5U3v>THA%bH*`RD8-X7nX>TGYOOIP~_RKjH8n<$rs7mPn$W+h}vyXaUQ3iUnB2YV)pT{fr zW{<6Z&vZD#;%UftIKN4N%3C)pAo!U1pc@byBW3rY64=&fPUvxo(SmI0{KHiOemwab4Q-3`sl`-^UY{bGSgjw4SY( zHKnh!#7xFC<6Kr#Iqt$aqM=@pZ~kWVb!V?hv_X6b19i*|n7)V~{`*hiPc6JPYx3aJ zwLhP)+`RO$qjU9(y*O2tpgVcRNv$|;+dT;pvs3XL$?y!7e=NQn!pre7*Ulcf3bX&= z|FT;qq@|;4B|A@uar8?D`suuGr-z0{>yI_cXC*~D4}(5VGAp$`J29+1GjI?>j8zt> zC>j`>Rg21ANY)I^%s${(+K$UbO83(!w%OKwo?_-A8S>myC4X7` zXXdW;80v6#af;)h`lZ`>25Wgn!{e<{oOp8#5+t#wRp$jcL z1?*K+WXFatYTkn7ugq{R$$dGUyoLT#UaIQard3eYvai{%j%)D47-ZYo!)wtuiOaD3 z>1AA&m|=6Suwe~#RSdXDkl>m!uFb7o1AC+jwv6zNta^Nv!F2vr$#e*#{ehY3(>F4zUV3I!kv0J#G5vp3wAPrP84#|obmqh<*EUvGx5rJF zZGZXe+sapj88)J`T7B@EmQ%PZbzjlp$uUdVnGQ|RH62P1$D6xFtuC7{KeX#JP`0^8jeatZ2Q-A5XHr9QCWR%`S3*j@MNSkW|JK$lmMtR@6EGs*E_%zSFyA5Ty+UtB@zHf#+Tx7-cCi8dmioK?;k_s}KxQjt!?C>9gePA00dt8|50zOc9FseSFs#_oaoI5c-^8A5g}sFblE z@+p#-J!AdH^(q0S&K{q{iR~Y;We9zPp$~dayi~QR5~Wn(RmhOLRyd<7+O^{qr?{5q z{Kp#`QO9hh%%4S*x}9eKu!WG=Rj;jeIV;m8I!yCleP8xRa7Vm!xOR$Gy}Q-^h=PA* zZpSG5W#jnR)G~iL)dFPG+dEh_5j(=NdDg29_RLZ9}bLn>lNS2^wNUAzsV z4!EUxDcCr2ts}hD`^$L8PJo3UM@!AvC6*`jJIrS5GJC6@2~ z61LL>DP`95Cd+qox|G^KA{4-bM3T`zi&6 z9OGWXU8M6+qfdK!t%egy^Yg_42Fsrj*h`~ywMBaEb@`#a4ir)O`2oj#R$UIxejp+h^L@bL-m-~=_G=g5A8<~` z*QRVlKGP-lVTRW4FBxg2kWCMyJ9Cj|TS6)9BN7`Pjf=H2JDa$tlQt45?mC^`&61vuvO7W{jB-LYd+)NNb48i*FQF^0dBg(3~J1D*@v znk#SdV1DD{%NdKB-V*$3GxlneY@FG6`+$xE5?Mf9Cy3*5pXk)2ETsEkfs9CK==$V~rBV#x z+Da+oIG5LD7)+AJSpQVd$ZzgV*~PfR=YcAio>$NLYxUmFJVE83jr`^*vvq%Jt-kM_ zYOzz=?c27zXqcG7a2Ivct5N>q$pedbGjsk%fw8y8!L;N;$>a)skow*Ce+aTB{AWr} zzPkGmuXgvWEa|@TSzZ&dGQODQnCKv#$9PQfV9@0E1t~%pEFvQHn`9=*3^0v5C;ytp zhpDp|3gGKp@tTyjLl zlTkja(NHi$&}h}Q93Qcgj0$bs+wa@{X`K^hsW z^se{iyU>eGCSQQjT-?38O`}!V$JTmogX7jL-3@ZGO&=_AVlJca>PckXhA;e7G)5$B z_AvZ$T5K6vt(7hj1)s6(#jg0ab3gKGhS?t0hVlU!gSGayxE{POy; zY15jrQD#w}Z=h3TPT$ZL0Abvm^?cLh*5p%lmHeCn6U%1!m#{+?DhjFAPPZRaspC%5 z2(==aaiJtrG$m#G@uQCMKdX5!!z8aP&`(Q^r~~hw2i~y6tV4|D$(a)^D_QICMkG>p z6oBD68x#u`xc?!gSXa$a$$eeyB=56p&u{7+jpOWIip&zck!12rY|op@GmCg;YUuQQ zd&ye2SW-q9euILRI1ww`k>!bJYA~uGGmbq|@@X-CD^8a69DB zq-lFMy4Sfpf5v7a)NoJ#)4TFs@98nG?vvQ^WHUS5MwWtZ+2Xc;LK2NrtPXo^m@ImB z=^pG6X?Us&{kXwr^}|Vj+G#HGg0p!a#BtkIjOHSnv2nM1{Y|@agAhKt4G*EF#Si`Q zo9Yu^5pjAZfi%OLX1Ip-fdjm62!QdPjZLi(C2ap(YPy{Tw@;Mrf_$#H^v=gn~fvOvHfB=WMIUN%xlPm9aWy>`k=y zZSC=4;mkkf>mu+=UNO5{HIrFu!Re|HEC$ByYOHZ0p$?X~l#9OZ1Pm3gFl=} zvyOs6HH1#VEGk48b*$meY-B(wNtL|dG1AIHHi+_iQ%xGB*0 z2J<}f=l`r>%$K|E?JHN@pU}z&C_kvW$$DET62&7_>#Bh#BV$^@lM3Q92cX`d01wq# z1o7x9cdtk8x(VxWemI1K|@@Dd`2K{J>G&LFb%{$ zW3X>B8$fu3_{{p_hU5X=U35Wd3gZ2-xIndCLu30kL&=3;lFje>M%Pi!qgK`ptG^ag zm?FF+^!4bjgQ^~Id^?B9zLfkKEbM=ZU^SipL%loa~TWB-?cv3 z=PzAB_5uRHxU;t^@l!=%6CmB#6u-c$1OD!US6)QkdH0w|5a_KTVU_}!x2_SL)%|$S z^?%MX@}~>0bB#2bc*tQ#KRw5H8JT>=wTAkW>`tg1>9}aHZOieDlsj|OqzFr?p zQsG$ujfDts7?}c0U>qOc<%pB=KEBtbYL%z7xWorR9!BYcPZRC5<*!~*uS}+7TN(Mv z{=@*&e4YAu!fV?l;86A!eXj=J4DeEqNL}hP-!eAi8|!n@gGCB(hxWcRyPUFd_KDW9 zuLXa<%M{)_Ctvxd580|U1zPD9ICZ-XL&B|-3$SNk*F9QnLAR%mFECJYM+s@4%N7{E zE8)tSnkaXQ>oYI#>cvCl7WQw5ZOJKxfnl)GQtdRfN4$}_;li2t0QO#acGyuUrf61G zpR<P<)nJ$*KRjxS&SB`=;@__Hsgih{-LY7G_1WfPxe7mKwI~MA^O8c zrFvW+zR9!@*H4phaz0M!XR)MQ?cpBHwFtVwfeSie*_Xp7ekO(AszYz(3~&m>s&{V% zCyT0=j&AHf=2Vf?b>PA26Mt5uxRIkJL#IB-}x8t`-%bs9!*By z(4J|RW$Bpe(_iN9J_6BS3iI4qJ=psJ|_Z_&?-e6xYi~63u|5(Jw{6>hP{SRP; zjyLxS`Mlo&2^8%yM0mLLb4BTy;qi&!Re!F# zzDhSeic_xjbw^5kGDbfX`s&vKxM#-$n?l4BLjB*61(_(Re?zsclH@?$b`Y7c-C4zd zm}f2nPnN#)=@!<%0z^)5aG#PTYn_M|a0_fsxMY zfz^i?ne0YZ_gmH4M6mX6dxFZKzI?_DgVs+t%)ur`MN@NPt;A~T7VeQZXydpxkQKDP zcrl!B!>V*lv5x3o4pF=EggSe3*U|ooC*w-={XO?;pvHtFv9TK{!Y#37aZ|Gorri8> zlp66p+^n$bpns(4$z3$d#AvaV4= z`93L)G;~(zln8FZ-a%?V3Ez0F3PdD%hii)A8C_jty@THxS|C(_C>Je#qy=INiJO{g z$|EazqxqWk;0rrIw@NEE-;I>Zy@ixfPR~ z{E&jD&y5fM^zq7Ai9uKK`iWYYw8)2=pu74K6tzLej%ww{f<^Wcj;>}%rwwy|moB}} zHGEd4@Hp;dv06WBaS zylP&lLw4BDP5AbX;~EleSytlZJkBzs9(fWEJSX!D;e5+0yJc6~lw&2an0wdORzXG~ z^`vWkof8nL3YcPKC24_@{7QkG>-gpxL&`EUjW(`zuj(;{4f0}_Ew%M7&@IM}GB{Ux zn{|@wPTdy2D}gl#DSoDhWl$Q>jg)o<+0e4p`m+U zRm4BVMa-&+h_E-BUz2zi^_}tOW}j8GYPFkVXJAL- zSEI?20+B<3k{<(4#WRj^4oWCJ{iDquPl#UT_#$uHY@m-wasnn?qp^0a`78DMoNZ6= z8n;d(L0<5Bav46p9jQ^=+~m)s3m?9$tskN6h#CH|{KP+M zyq66`Mf%dCdZ{}pCp(+Y$nareYpvxt8?d;eBYfY|#$9D)@hAj-#x=t3Dn!9DWKh(QLN`vb0X z=epj6do^D3N0{)n>K?qM>KN`Foc&cu0&RaKfD$p0_D@jnWMMU^5Z#$4^mK5E3oU9j zw(=}SnnxM$g>1a>{;?cx6}azt{n@jh+s?E|VG>vB!9>>xp=h6SRhVUe>| zG_OEp`-oau!xV43-u?BEzG&8%yC`(j_jj{-J4F(&f>YU%IKWCu#c>_HG&967aU%5V zEYNG_@0$;&oWX_ZfVGK=0;}rTE3(Nv{p;y?!eyca)yWNJTc3p=t(Xo(sN!evgvh8s?p%vFIO3vJR14~bxtv2Q6D52xL&YukKplBOT+ExW%ZgGpModkuO3 z;;$C;Qac(?_FG)@jdBJ2^t z{T-p*w6SyIi9X%IrITV|p22nL!TqzBNWJ zu2ufzKXOW4S}$4EgZ`vLN;3HwlzWhA^AJ9apP^1c#;NXxh;}?iJ)yjO=QfnT3EXqL z*b2ON3pi;2DE9KI*>`*Ma2?GYkbBKfpV32wh8fH&xp6pRv>8Mci*FE_kCr?bB zK)#9^?NF-i#LCBta)@?8zHa^Ka!jQg9r@+s(ovwl9=1egC)xqlEjn3==8~*WY~~^u_$ps z`?_`)ECx&lzL+Py%Y)TXwTrb0+$&RYGPF$n+#|DmC+vbhw{b2E_Rxeb7m>I4v!Ks6 zpuf6A#GOMY_)%FTNwdrfoeW36RVhs;+Y|8&E;VIws)_`E#MrZTI}na7We#$7$yjyW zdC`d?VNZGSL228F)5NT^$N9UJc8E7M&>w4{Kj874>InW_#&SJ<3{3`)5GD$1T~8ts z>mTp|8vApi-Y&_OoHLy)Iv?7LL@1!Jq&*ClntGzFMcss(wqTH7WKo2eX})=Ob$1tE`CK$=k|=_qvgn+1vTaT{j#1(v{$)1kL3BV z=0-O0SD|mY3Emk0AF0xsn3+ZTln@}}O0LH>ioO=W|0ea1Wa--5x8t+&a^ecWMzm$t z*q9Ui$gCq}W=gPK`O3mYLUV$8B#AlTB~kB&WD6j?;$-x@3c4*Z())m26RwM|;c~AR zh)8;23~h$#&NuM#1>;HieLJ_|ak=MOZ!Ku=oEQ(`+gov4>?Bu2vE6Q1_ceuDj0h0WS;$t)V^bQmm}w)G2*4@uq7+!l}_=gZTYLlN@br{71HsEwfQ6 zr!f&Tvh0-2BFk84L1hlDbJoqbcMKSd%Shg2ts0>-fU7qOiMWhhGsUXIv|>U`6C%_Kj^khpi zXD_y+u>7-OA}*Qb=*IhI!2H6#-EFzdn;j~%sBjPvUiWF_x0U<}0h{H)^ z!Q&$9s!M#GpIi?i3*nj=u++NozqhUgik^O^mX;f=m~+4`7_4EO6&S3|-@#({9$dSm z#I=NIH`lVE)^SwIUxuU$p$B=xKb~kCj|9M<-`$BiRW?MitMh?-!#PV)lS?gwQquIg{$7Ob=GvHFEWLc;{^P9{4Q?2sv>RuYv6DKk3pC zi*1UK!KCqz+q5tqTDZ47&MWoGKEp`6&`KVjXW;zV(MBspp4;?Bvt4_KwAMS)XRznJ zz+Cv~5I>m)yS3xzZxCM;18&m=o*W&Wu&Sn@K>1I2GE{srF=C5;Qy)e%Y0Asr`MS@S zIw%VT0ui{7d)};M_sknALTtrAJyI*;8e(j9J1Z_QXfHbAI}fA!;LyFdh)td1pa?~x z*{bdvdHe3>s!x(FYQc1o+&TI+Hbk@9HXRbdlD}`~aYM6nm`)B{jEsq?6t2UE zwL)3QM|hd9b|dqtC!DrIQr>F`-fE}54=up8KZ3Gyd3Mvup^KWWbr83!y&UQkcoine z2AOIYM$t8@_eY)Oybtrks{mU3v1NV#Vp%$*Vt$~PUyHUlOnCR*3nLipolL&< zuEs>c*QqN=#QkNe#E6UFzckM&GZQl`O@RmuP-Rlb@x-uqw;<(tWc)$+t$bs{%e5E1 zbqzWngrCdN+NI2F4`$lpGAQl8SD!JI)RBVpSHA6&SQ)?n`hTiiM{kUqI?${60TNZ@ zQ|ig7r~*1l}1cBNHN$ z%J=6ZBX6C3^B!^w0mhm6fK{KIeun*CXUneJ>b<=Su=ET7Ufz>r?TT+0XJLFdp#--UuF7kj)+npARO^vg9!3ulC7JCZF)+>1p;N6yE z)0BT-LBy(`BpQ_C?}`U|42kz0VUi*^Wm{P#jsddHYYrNtBb;Z@*MSLNg9N1BoE?oS z(K~7E=Yo=eJ5MU5hFlmGyPyL?MK7HtHCyUn;XPwul(3+&=u$!cB#&&Oi7OxnOsmt( z74T5LBE+>8LfvVCz_Hc(yRYNH6mR_J$+LjRHDOFcfF)9%6SIt3*-`F{=LYUEn1fvS z5^OaT+Hqg~Wf=&s|7Y;za||FO1c?QDAyGu%f5!DV1>`^3AXDg%M_xkxe+JPEFr8=% zC74XJf5_PXeo{L0B=RwTivRT_GDvv;ex8Gb;(vaBj|aWt-_K3R75)2p_a69;|9md~ z)!cvnA_1Ax|NQ$m7&P^NKUbh#@$cvPuNzlGJ~ zY@q5}c4=v;(|L;LfkrVXdhwT!-(6@&QJ(A%$~*Rp5wD)ioHvMvQKH%?-McadXd7*? z?t9(bRTiBY;vu`apW4lqdyr_{0fy6j=qc{kRiVDi#M)m#e@m`&B$s8F0&c)}6H{W~ zSJZgsM&W(Blb;Lnb8)&w1ms*C|MLyJ%)}6K?)>!hSG|IV$)jQ)Zv6Bc>`WI6ayVYi zvH1P#JKuaT`+f&gu?w7rX9IUQbNd9z!o)NP=(&0p%7;T^W4Tu;U4%0v!c@h?KGVr2 zW&%e3+q(Yu%kGC;!^K`$CZxx1I~kW{ym422+B2<6b+?c=aUHQ=|IT;1&K13!;yzUG z?uC{b*|6R)`Kp>MkXfffH;rqUAFKN5E7bcQlxFHv0q-h?fu6G zkkQkp>To!crDlN$%t8+0IaG^vQ2g6Ql1+fQhw_qGNjI}s-bN1rbuP_?n9rlwpE#*kG~q5u_c-k)-wafRQj z{^Y^qS@-+L4fJBHmcx7qxB31`zh<3F3Dj~FyVC#q{{8zp#J6wdfwcjn9$YI~TQi4y z9WA1FJD3C+?@vB=Kd^kJUHuj?8^vzewJcC1a;3DBWw4XAu@JC;?r;H~l|+jo1r?PT zsFoy!>q0~#zjF~w^{)%hbn4W_#Kf|7s8M{%w;u9*X`}Mi9@X`(mwS0+C^c~Lw!mM- zY>%Xc)>wc=Z?~YRNEKYK9!6<#gH21+aCU4l<+hH}tT2x`2GshRwf6~TCORf2i+`*7 zbwWY{BLhP};Mq7$dLCLWBmik8B_@`G(w5!vFJ8lIov=Vh5unet8(@X7UF^LpSB3t3 zpjjQ!vL41*H=>}0rlVsI*e-#$A0HCde%8 z`ltm+R+a0K2d_EzeG!2~Z3LF1qqB1lO=3fMWaD=2ijUjx?^ijEI_}9Pu!%)F46CTE zf=;h}yNjKxZ>1iC{^+Q=zSdUpDf?bQKJ1VZmg;c+&x zOw>9ThYFqjS!%<_$LFy5C5%!p`Oy@a6$%s?%%FE&KQmbV<&h|o-+3g6wIMg{wO{2i zrXz-l)8mhgk?~or?*5vTfZke!f{XvsThZsT4*jI8>}FH1Snd z94kY9C0tsyP(2OsW9!~P>UAvm+M+L$DPNwS+9NQPvO;G&VOoM`V+LWXflNiebCv!5 za#Gx+bv>~$Rt-nMbY1Yf|KPzI=K{PTe)24Fex8UgdD!()I*qn9t_d`+uau%gY;i>oQ;3dF-vJeNg8fo3GA5&BP?b zq+0ma*w}cFARCk%)`Z?f>Avv-Y4hVcW!&?Mg@uLklTtscUyd7N{XtK%qM=kVs8_Bc zBJzPIue@9tQaRUUWKNjSS@jf=p8po`F{7+rJ2wa@_>>Q4yc=mIzDE5Rh6I$h$nS+M z&@}_KY29|)>CKvM;j1+^o?(m4nqZOBz*CmnElSq|*RDf+nT484j*5cMA)E&6TG_kw za?vydB+rFGAMC-@^HY-^$3V?;(+D|1tny%zDz&R6*l>_RUg|+&>h2Bw`tDN!Sy}hOuS<&sfi1)oFN`Of}ggiD&WTzx{Y4Pb3v?iPl>cuwX_Ou z3!T0NhYrvXE8atzcw$UPZXR8Mb3CIYk zqBMus#D_|aI)|#Pbw@Uxzx8^b*@J~b4I5B-pO(<{r#y23$_Ex3Crzy5lIC@OGE*h} z99UJc0^NzPog_rs9WUE%5wehs{!86UF zQ~5}*gR<1s2nouaN*kMdM>fYKJT_l;cXvUGhN{A?4vkL4Jy0CFO6Bng*e`=H!4YWF zq~ZNhQBeV_34HPPbbUP#SE)%aCETH33|ew<_N(yY#|xX&^;#h3Qc*smq3M`w2+j}y zWHSIdS>$j}ySxUj2z@YNF`OX*E+=*{=n%86#>B?vd!L`7_j>p%fWCTyqTLYkDtE)0 z!(A6+z*iQb^wC6_NtjhVRuwV!RRjWrDK2x@;kGRRqdcR16aQQU7{4Op-V_u7aw|Zi zbF69>AIQc(PaAGk@wc3B4LQaZd!v-(c*WGTZ9hZU%DUl5e8yuh#A$n4_CG!#|4)^!W=^Q9r-0r2JcXV%XG)G^Q2ZG#vMmRR;#4o*(U zw~hk*kOOl01XM4zt7g1v-3~TZ9s3nuArL6gPUK}hK;-$w#iQRoT*QLn^B+ltZ&j~m zCzT^GTsR;dgqLM^A}1PXN`=)FpX26)N}P^c9t(Qq$!(d0x*x;a7RB}1kTXg3KC1y` zpRw~)=jx-{_Og4~gZ^7-ev}Y!yK`U-jLT5{;WXHx-{1U2`t|NrUWc_atB@rF$k4It zMcYbtl9eKaqjvZ$Cs+2zzU@nqb#_y!^Tl9>-sEUMImDfa5P0(q~cpy*^n*t zIt$Q^H(rgpLZ`F09h(TabE~Vz_AN5u{}p>>$%pq3LY9F}E;-kIyM7eAdl7aP06rOW>>JdW5DIK|Rcv1l@g(r4c?H>r|2*QD! zs%bZ-6tSzYa%j=MMXKp~0zT*dp1`D9 zpPiiHPG~9Cgw2jzegaj6;;1Pn3<3&VKsYfvnWm_%T{t&4w`3p$V5!u=d%TPB5fDM~ zXtts|>=lIXAWyGZZKG%J*8w&fg?=W4_ikRn;5GrY?F%MlcK{fxv$)n}N1uYnMi@lZ0|_Q6d60d`N1-axY2 z>q~oG(8lMqkqe5lYZTY*O4rWodL0=dohHmWx(tIkU@jm2t|hfZsIswfcJ`ZubO=dn z*1J`Zk(1L(z4pD?5AbbtQj*1yBQZF;Mo2B53nFB`lZ`TvRxE$_{X$OAZRmZrz}f&+ z`2K&@cCIf?#bF%Z3o8Q4EV`2U#z~f$WMXR8k}j;sZZ^u?6pC_LnBk_)%hDp8MwW%r zWh#}^nXQ|mSx&-%6{zW~8B4UhjO{e9TW4-9`#$~)(crw>i-+IuJkR&@{ho99jmTZ> zm;uWnF`jP_LkS|7+E;NtatIUy6}P)!7F;|wHFFC9B95U9wN z=kj>8_5?aK1VOFI^|#(GWem>@@Pf6N_j`)Tdn+@3D4fRrKg*>4o>YV1?WOAlNw8V% zGc-WaCr_ZM^r{_TTyJrJC8&>NxE=2Mo_KjmQBYVIdan0*#&TcI_(qD10wc*_!ReWy zb)PFsMK#66i#G_HVhy6qrzDHVM?H=|Pt2u``T3%)MynOs@s)|SPG2Ws1kF&XpzPVG zD!*vQmAT?~d2{0M@6+w~D!aQ6+s*ntUR%d6$3$A|q;005p(LE?@wCM4?4NNbD07_V z$?2?#zz9yooMrJI9Nl9O#j5a&k9Xf#9l)7pmk<7?l%pep2^7lAm9jt6rlaxk-$ui?JG+Wz z{U%)9L6N8oRzsDndF|i9MR({tsmo2}axEOxh_oo3`LaK~Pg3e9ZoRfZl`sY`6-(OD zIJnR~yiqQ;r(ic_=z2Rwd88nRiWrY84HBlgtPRPq2_zn^YeK+k!zL3`ZxHE=x%+xv zojKr>ZR<)63gA?5DcdVqovQPuJ*o$%Nae=H)JMd=JvN2{g}x?#w;a2iSD1&g}s?9lsL1b-NkZmGQUPH25D2;v&OqQ`r-&$}tcb9EubE){ZN=r~1&U(6e{ctQs3a!%U1p zI_Wa96J9Gf?c{Q~G7w5=wlfVULG-$lXbo-#6KyCjjofWwG;eIbr#c&4E^}46X1%5{ z8iLc%C%r$9>%pm`r?M4FLX@)1Q8DY#DV9janpw-Vsoc=&wY?UC%f~yGhk{qcqOU0O zApuZ@@#6vKz+7YjSM%E*fRUUyIIJqHKkEq4rf@oh5=Y*{a7*>0%}^L}Kja9E?rdGY z_qw%fKe1Xi3i_FGFq*^Lr%eoAVQX4MmCybZ*Q5SR;QDWh>6jUqykq5seE3d9@^{7T J)I=xd{ROv&cgz3) literal 0 HcmV?d00001 diff --git a/doc/LectureNotes/_build/html/_images/week35_210_0.png b/doc/LectureNotes/_build/html/_images/week35_210_0.png new file mode 100644 index 0000000000000000000000000000000000000000..756746c5878d5290a59bf9e47a2f369a944f0bec GIT binary patch literal 19873 zcmd74c|29!+dsb1tP+J%(M>2qg(zdvfJEWQT*y4n^U!EWiVzhVB*P)oL55SAGRt(# z!x1t&=JA~GwW<5l{rTMY^E|KT_j+Eh-ye0Hv)0;s?X|9T4e#rHZGYt}7k6x9*@hs< z4!KLR*ARpzA3>;-wrql5>IZ#e;p4Q!`RfiU)l>EUXzcn=Mi&vru)kIf|xQo^)4@ha;8V|h% zAI;mQ@!8pe7_6q`WLy1q1d-<13R{G{4f#a-4_~e|`OX*n?@lu)dz3>VFAHe9e}8h3 z`0lw?z(`6Sf7j%Fk>Y~+F0IhB)Np~g#BKSt;?tM&2PG!_W5_e{%qfaWN@ZeQq(?bR z!%2O0ug=+yV6#ihBkci1a+xby`H?>h#Ao+c4LEl(EFl|>ZJ#JTkNZYJ)qb}70ya`Djt zf1Nz1^X|(TdUo^UoutTG53VaO&oGWOW0Sldk3C`$X-`zk-AK8A>;$Ep$3EtmAf-HA zsG1T$Ju%b}--m0r3Z(Psp&{L7&cE@wjMaOE)bi1BDzWX5=ykXrouVd#OwzyC+ilt zea?FH=#ih_vzVAvH=jk1Kd!`(ho(fXsV8Cj(Mu6$hT@4GxgHr0Xm@@m=UsN>Qez@IT53$r`(rq*iBco0r78FZM@7ET3d{oU=ID{r%V(Xa0%7 zvqq5=!?0YXaQM(*8SrlPokzD}xG`blpc4nX*TlS+z&LE7OE0b7-q6rcT1m{xY?!)k z?$i@>OE*^R%y;f|RDW^W-sp3d2!64el;T{#OPy-8$I6OVq%rM4o=z!c>PyQ<}MCs3+J4Y&4@;YgiH-_8G z!jjme0Fofx$}?WHto`QA8(Oc`sR+C{2!sIEL>iiuX|dgMd*Kg$nZG%A7}ZSBRX#Ic z2Wd%P=i`ZyyBkRPI2jAqUdAVtS;Fqu)ponUH2j`?D;GU3&f1VM&73mp;8@)CncQ-^ zj!^tWtv1{UF7R;wzLyVI9|ZGn$)l%-UTKucZ+rK>w5b1zxq#mG>j#g*U7PQhDRkM} zxQI_J%G|l2Dn=~;Gru3CSanRJRmZ~2NwSp7h($1#g#o?gNeiPChZgKi;bHo4&Ak7kxkw{1)7zo(x0 zy~66rnof{?(cQIDpXB}~K3?!${2+0(6@)XB9VbKsQ;|oX0!diA`(ybUbP|f8waoe! z`dmf>18?%CJyHo6{t(&pEie;lm4^?nl=}9Po<+aJ+hF69IOcZFWn1h&5K@9JV{Gq* z3)}{j-Z!*gtYnL4Mmd~l7@NUv!JvJ+68g78PvJoeuDGhIu$_5fU7I8H z?=d4jQFf<7`yHH}8fPSP_V}Vd*q#ctv*>I&D4`QqWMNHMWIF$W0lkfIp9NR{*ZwyB zi5uSK?sMDcM#?G!Q1#jPFeCD*`JlAk=>E1s!?^5hc(NUq&dqrnHuhG;n=q~q4Fj23 zTk4kL%T-m?7o7(eEvqn20*YsIDz5i#L}HCzRKL9jO5LKpad%#7=dSisvs>~wk8Dvt z{c~EohtHkO8Ag|~@o7e+vir6#YGwPts+iTZUVhKFu{V(eHb9xVBqQ=u#nCP52eqO= zlo+o39D{6)Kcwx58Xg~}*hAX=FW{bt2|Zk7O-N1t*!CrCO`iWWQWmCQxOqZqnP2=7 z$GNtHt*{?`pC(-{*VgFeG&eNSgS4q_<+5GtS#k2@nSIN2Y&yF@t-LcHMECN<$uq5Q zpL{Msm+4bFi2i}StOBmJpL7u2} z;(m-4ZEHo_9+78HoI0^v(0=+`r>ocgjIhpT%xGHv^|Z1n7{<5HZ6nMnmVJH48b)s_ zbM(($@A`%>>}RzQEm}LNrsHYH)=y^C`jwG=;RCFd=(9=RkIOAfUq8@)cGHGy6T`Z? zQXYj{%I$f@M-QiqWD(pyAu%T_u3{26n8m1HNt})dFr#oh;0e(fd(G0n(2u)F_jY((xZdiQ+RCMB8aU9Dt>a_5Ue2O@mk9x^PA< zH*a{%4m%|sI(Fbkpy#>vB+Vhd`R&K0nT~31L>?nzo0s%2QkFno{UdW1MOVK!&~8)H zkry`hp-M-s%_TqW6h55gu)p8*sw;kOQnoz&{Fu_I>Z;Ym(fTId^XO!(Hiz-bvhI0`Bt`m@)n z3zg<$cyhz88sEYekxb8Wd24I+i=ahQ=mew#&8$(+IphYaSbylDdVF2l2D49SwQe-g zf$M$3qx!i0U9=G$jSov&+&(xGs%sYX5+}NRv7e_FZ%-5J5a^2t)xpz({s|sxU8E(r zeLMq-93Rl5Y=ADM^c~bV!QwFA?ez159xdJrCh*fKQ^Uts)<#Q%j}7a}IdNK4oORLT z)me_)GpK(MOZ6Yd#?VI)w8*~LOV_5We;S+hy*qtAB;?haEvKr?fY}}@*&`?a2)jS; zO?;BWv$3%=_@$kV_fcWE7I2tT;Wu;Mjj@0KhcB}aW91;N?aFrtkLi{^_{_wMpOZNf z@>Cp^#_qZ~PTqn7IBnJ@d3*!P24Ijsu-9you{#>_^zypAx}7hMr2;ug#E9?DxlXc( zZQ5qS53}NpFb}kR?iMAn{gMQ%-1~qG-^U&Shp9BUC#jVgjcGD^wbvAB#o{Pa+$Dy` zj<9ITVL~xGss?Fmn$H&(m2vldx?^BF>@Uciayq8dE#Q0zQ%u&x*s!03SGaTq7ywmH ztT7E^@0r@gQHQICw|?b8?<3DryNT&s7ZKZ5@>pceSO|wtw+^Wu3&~t=+mU9e68wSI z5RQkmTD{XL<*)A0h`hZA-T!R*F+qj&B-rC{ zAt}hZcxA<7v@MGl^%!#oqRiRZiBB%F`io8E3qE3%VCn4aB;m3P__`KroSQv*ki+LR zYc_3jt(6~Hv_R71iHu!ZR=J#9TwKIx_i_JJkAB`Xqv|M^<@Rn?C5c(p%l}nyBT>3j zTBdQ>;syv#A9wuodg_Z`-7ze+#x#!=8L^XBV62+D4r6wQox;p~j8yjQbNu3SQXqaI z@Pwo!E1krQG6W1~#&h}}nOIu~^J(FV%R{;Q(0S~)&QIg-Mv$Sp(c!NpkJZhz?D@{= zhG?-d)*9<2%iCY&eObHdP#%wF@7U0ge;zp1GA*m%H#5w4xm#PbeE1_JcOXjC?)xQl zW!l@Ig}I3)qFxn1g}nA1)K| zlv7vLVx7TAV)0W`*PTnEHWIW*9;c92HAl9t?$yrjAOY{i$~3px;f0xase=)EUasQg zg}yY$k>-u_v$HQLY(#@#2_`fqvwA#cW-k1%m~4a>+`P~Ii5!#(Qp;>T??~b6g~SL; zzm7z0k6!aPCuUzvcIM$Yx|RlfTe2+s|Cs3Qi(78*TH+N*Egxz8G7eou3WtYX7Je9< zm@SU{;YA+a>yqYl%J7cV@>-ymNHdX29!@RwUZA7=v6EGN@ABMOAkF5T#gT%>`Ve>0 zj*t8h_1Jn=?KV;8@G(eR9i_$f~=ueqq0gk_hm zmEmeqsk+X=GBQc^@=M9x1?Gg}ECCJXB(q&pHT|@R;DVG z++KnWhB!a7?dCO(zl|RWgkmYFt8<>}So02wORA=G>pgyT<>3l=eY{LnR1C+L`h_EbbovS?( zj>D>Gs7FdAH{k=+k}&6GW%(llQ7QfY-4K;AE^g*%DIW3?1b@ljS2S)vp-?{`Rh+9QK3~w%IO^d+-NMSfV7HPfMSWqI2TpNru6imwA(<2dr*KPFZ(p z&o1g9^?V9^Hkp!%L9kex!^P$$#JlQn804_Zd0*#toF%D^PMm?+lmU`%Uu}tcM(kzuMIvOLOx;sl`w!|IR$;GV9f5>k>R=o+26TLiAtw!d$pZ zz@wMe;J*rS2@6!0d|%Rdf=*u!IsOdCB&xA(epX0OUH6YFy9t^@1#R2z$-JIlejyeS z{8tF5p~0RHAI!#ci!5>lR1kPg&mx}(gEPVV(sa8w$D2^w8!jH7d2XR5ci*UzYL3!y zhm@Dy8S-RLc6h-APC^W|teYPC3CRz`9+=!)>~3$@SbnXBC@aCS;G(WT&Gt9E_p8<9Nrt5CrJ@HF9 zIms`UH^rU-8!e2+fe@XPyYJi?Tn6rY2{ z%Xg`4cMim3PIQ20l;ZH7FRo+r)*3mQPuI|^oe)$%Ga7CmW0S3lWj%~YGocS4>ug*$ zCBnD%DL+C?`m$))M>XdP${eY^g9#X zelQhvmS|4y;gslTI!8MDg@{o^Z9jJ}HY)QOb!_CCV6bIG|D9mi&RG<;7Wv*kN!dT4 z|3?Dj7o7s|{t{UatD48zQ?9Mv37nzhDqm?;3eWnoGBGyxP%SCE`-8avs~L zet0HJ6{U;^SHtbJE|2}ti&>1}MP?xYeS8VKXZ(6%2$PCe4bm70(jr}LdSatA1H`zo zLoA-B!j>BJxA`0fAJK$I&BL5qj&5fF-#d9r^BT>-qX-KGgt4alY9-EYPLgwMl8FJ< z8$;%Lq@gL~(>`6FJrFnk=KnZ+pY|UYWv1^}Ct2Q`h-(d?+sTyrj*0C6xNex$tlIuH zWG697tAzYnLWee+Z{Eq#a)77m_-xHtT4V#r`J)o)&Mp2R!HgOE#o~CN7eqcf;!O9Pur@J}` zOX)W7ToVT?bU8BJ7`xvlClmTUpG~UeLyn-=dOe(#PB>D+Qy6zRE5JGg(>y}ziESEW zLiT_Z@g+88Z(vSZ2oEXdDU{>IsReJ|jFrqrVlVYf>O3BtrV2I*f~npPmFAl70<0O-r2@yinecd2F5&|OOR%T10ae?e z>%*j`-P#VviE|>s@RmS~KqH?6Q*Ay!MtnM|v8f|aZg|+3ubtB9W<@2P0kHvJGKSZE zHd*uqE&wm5yLt>qNw^0($#x_)-$RbA%S=6pDs~@w+3fnT0=LvcjNL#M<|Z~eJ##77 zTuU#Xq^4fhy;>wylF(qxfbTqjFoEZMEw(MJ;6idC7pZDQzGFRlp(2*FCCy;T zG(eL5mIpZh2=k6FKRTI!y>FO|JIi7)_R=v@a!W>Ka%p6y5~-YP_0PXVi(U2l#cLEt85 zKC{!>>Pa?#!#T0ofEQwD|{a|&uzzrl35UG`y-kg>+~xu>4laX1v#Z8 zod+yBX5*~O+@)5t0WHx8eAT3C+dfCM(bImFQu1s+3C2vLTVTY=cblKfzc*#nvYinV zXEg)2t>#?2t>#uoow@t~n9&y&|B^T2kT`8N*dTx{>sB(=18#uwVhGW~bUUjt~; zBG}SBX`_B6>^pai8&}sfTWX-TR{QyEOTrgBts*L)W>~Jb%BOFhWG6~>*(h$;#it$Z zP3fT4i1%J{7%g-Xc_KJ~x=b ztOPJ|x$mE7dF)?2#C|mF4V90>ZWrJCrm`?jrGuEa@P{<&bC~v=L+IEMA0Y;4Jd(Y! z7A$sTdt2KmUm>e3f|$bncU+aDjXq}OXxYr9x7Jl9Zl8%?a#oKiqsGX_?TBIECt4v{ zCauX#>a}L{Hb-zhM>&J|TtaH@Y(WlHZ_thXBY@9E{%H0_rTay)8Yd5vE)pT!0>Jl?KsTn}AAN$e1yjcW)hIO@f zH{(31Un7`2>3`&yN^qjGsJC7m-&;Uf0Igye)A!VOUxP%v(Sxx2Vsje`5T}0%H#(HY z-^A^-ZjM>NZB&rth6s%m+CZu{2rh%qwqfntV1uNYz^F1LbV#Pba_P0yXqySQEOy-s zP)k+F;<`4=f|xjBTzq8{GnFialRj%;t~8Cjq!}@=&@bgVjnt)Y&^`2o=d^+5xS0*_ zrffH>Z-uH&Bl@!gn}b(WR(d~Mm!KMw6_Po8k6lEDW4jC zVPhLOr$4(T28D6~_@DQfyYsCEO=E0hN12eOf)}pWZb934dL6^?VXuptnZarrc%f-)hMu6!^j2MM7o)?@d zdRI5G%<7xHx{AWfJU&#ONDnsSvqn9$$6C{f`dV*;A#O+Ws^)6}$i5^DAO2=5%t`~D zmBYr&dPaiXHm9)Hox707w_t}&n>JL0-K{gzWXIlhI)_My!xFy3I#k-ku@n#!fA!L+ zWPFtP;6iGSnaBpjFcK##{cevI)xiU-yh&bQO!HnTWGPUC z1YunM=w&JBKUK|-d+mO-mhXU?LVt2jjpXd*{0Tw2CWpA(4t=fa>$97X_so|5M-+IU zaw&22zHtgS-{^3n1S2u~jM9I9A`ttjS%Gsb&^Z~#qKj{`JKkMA zjrHMw7mam8QxR+(E5m5K%sC+@D&F;&ucRNRkY2D4G2x^ZIQ)3>s#bp{^~Y!Ov=`Of z=4QXKNz!L1NvKRk>j%DeOM0urfJi6V+-GKZ|E)l?AtfrTOGcqw_>P?$Kz>g%eMDVMRdH?I&j7pS9_enYsRcf56CN2&B0{1vuC;!*P0J~wPQQ-^(0u<3sJUn zYPN!ij{-OgnlI4a%-|WKf$2%+oMDoL`m(SZW)pH0 z6i|VM5i*kIef*bP>5#(xN;i*MQ#Up$B&2wsuBHqVEqm5&$fEp#tzV9c3(3fU8#YYA zybcF_QXpo@{1KD9X==RYQB)UUdr3w{AY*OK`2IH5RJYdqw1g3oM0~I32G|_m2w7h4 zheBdAIGIDK5$g!|o9|8?kPM(hLXN<^nOP6;u4MvIkWXOcBWt&P5+3F)2bo&`rfv5; z(p5F)^^LWGYq6Hln}&=lw^P<~lK1lJGuNr1kon7ysQE$n?)R~`?nM+QzI|MaQUGDIl z?v&#JFsKc7BHuc1yOsd!0tc2?K#PjaSf#QJ`Gd-JWc^PshRdpq&vgom-trYlRF z1&@{LXL_ix^Lz|XmG`lT&pb^fBYwRL{q!3n?5pFc13Y?j*FO`gl{yTi6}!@=3PEJ&p5 zdMYVYUrykA=!~>3ZCHwaw)_Wy!JFr=f@`%se}UMo4uXJjW6RAv7BjZl=kQUn$!Kxc zljH$wG8YPZqF6QuI}v4Hqz;K( z<~+|)oO7Ct4I*tBR`4ayX{^m@kA>uP{6}d=v}ndS7XbI`LoqDY35q? zMPC*1$9KgnR5j^xu`Va`h8jD)>yzoptYA2c~~o$Z^a&)1PC>4HN}1`x5_iUY6W0j zAxct8y*PlB6W)~Nz94H4gASXb9i(15Z&6ID?)8?qH+?HS6)PUINm4&i=hel=WN%&^9Go|Len=zbkYk&-O)r**UUSS5*;8x-Bfcfy1(PZ>C?GAUBuMX{HY3g zJtN-?@`wvT_Hz;`(B{8&}NcP{BshKlw-z_+P{u#>9TuwrM4_>w~9Z{2IKX4h2LM)1I*o~ zN801ZIktf8f-y@Hc^)rimutLxHbp0o7^t_R|3b`}ADDfN^z>-%$f7IX_57gotERVU z>9$eJMP@Xze2jr(I*=aX)Wq&OfE-q9jeo54LX;jw)7h-u8lI!ft4AvFS4x7tSNax6 z!QKZlGBRxYf<#I~l_d9NcYC>uFa3CfDyK3~Sj-~b9`+JtbpD~u6{RINa@Nvy4O1oA zW*WX2VJ*$_pGjRg#(4&%VV)dB(>@xXzGqZ<< ziOCVksVBk3gOc;PsE##&ADUD3*s?pFw6^cq(d1G0*ihp~ZQct2gE_Tgf5s~%mR@Fy zS+Q67vv?u9M_DP7;>O`ck++Ikuaqy%Tr1DDUwjr7Wj=TOWNLu~vxLOU6A}`HspW+c ztjm4pTznlF{1Um6@SYMNwZ-Hzr+8zYQ3?uP-eSa> zt(M9^K3*c|5eLAzb>s)Fawj61UI2=hR{9$KAP2kS`NbX`q*K~{7-R= z6q!61UMs?_+CTtg%qv&!;p)eVvyQcdl@j%opALY+dwiH$pb=fUugvU{l&o*hJclEJ zEeQWF5Gh_lc9xd@bOjM@PNyZr*nnzN@IzjekJc$JYk_%B!mgdjtg(V%V>zU`J(hgm zFn_VSdgAz_hgWoog3nXi*6tLy0IU&S&PkbrnM;ce^0?hn1Qfci;pE3yZEVx@;zN*h zxt@Dx-k&X1cZ>*E2w$EkD-pG8p7xBSxP0GBm=1>h*j=2BHMC=3vB=S9+ z)38$!$zSGBE*=X+C=U^&?m*3Ch$%#;DEW@FB4_c#O2%;*Uo+*j(H1UEIu87LeqgjRzYiXM z^)<4h4?$`fT*~jt*Y-lv`>;{gqc&b=N%8qY1BwgJJD%<3LGPwSkxw!>q0p`U(M7A- zsa<;rx}78W1_3Cs1NbSoI+r_K1s#_zYs55Eu^WdaYbS~CL=1gDDR8ax-41dVp~%ci zeJx(LPBBeB(Lq2G-IwTCvUB@K~kkmX;j+>ajX^C`c*dT z9Ij2N-7e*eAI!DV*`oG1pL{wj(mATU6REpIEf5)6nRT>9#kgrM7aL($o1EfF9==s( zpZ0)@kpCmVW#)lWu}H8)*UW<>PA3sWT%l*98NX>05Pos9xpaysNZhuYjMf zCMPx`2!I6#8_mx~--N`T2F%5bKLKv;iW4?%$5A2IE4B$J zGiT{uRg8LT30-a+<;{Q04uX6&%rz9l=K?W=Twb&pFAp=|x^2xJKP=l3#*9@(_`pe&@*_F+qB(FJ+b3> z_8afjkO@J{iIOydub{DZA(F|%_)_& zmh(q>cxVvA;MZz~GFZ4$R-)~RDn5RhCN%zJVtiFG<%(epqe9Zp_i*kGX!laE?AICJ zZd{+l60v{4jHH`+a;>!}-00-ZIAc+*ICT6Nz*|7EwEs3y=86GzC)2|zm?%*cS(;c{ zlL6uDMmRu6n_l!LzfH8|wG4BNW<-24ce|9okgv6Qmz$V2oeX?=!09T#+Nl{t2_%Gl zhV}DBzq`SA?jiJh$dzwA*Y78m3Y|+*-Lx6G1hHX7Y~qQar==A=fZE?s5EQ?dFddS} z(s0BSyB);Tgj!%F(5^-y(d;tE+uW0)kZyn|vp4^6`D^rxC9GKVbjV@Fw39AJdG634 zKqumy<~c2}H7NG?_9y7&d4X~oIhcP~E)JSLRlrbPQodn=Wp#~0{V{Z~D$qPn*1F0e z$R%!H<}Yi1aA-yK>WK<$1yTw7I6hfvv|`#$X-S=LmDG!F21VWEGbmqLfRE&0kEf2ZEl6?^Wn>_emA z^t^vX!9ZQM1w;F_N_*&o){rOgMq!zhIoA1W2y%U&FSD898b^@lppkoCP4*FBHV-TH zD57-IGNmhJpfFhBlh@_x4e-@}XS5-)XJ>j9kFRQL)&63&)nZXC*VsE4{yQ~#WjIZG z2Z9W4&EKjvI{5K=TFeO0N@c8NP`V+c`9@e}C3aCEKJ^x+R}R7D^g!nV7E(NJE>aBP zt>e}_lxthRDPcj{(9j|MUFv2qj+c5Aq3_WW8eond3I6n4dMWo>z-D$}!n68{_|DkJ z?V$r`Jyx9BntEtZ{wS*-5K&z>bZwAVky7`(YhJrP4kx>{>4#U!Y^>!K&pm8@+R2t` zSChoi$+(#T!soAR2d*ZYii&+T>xBkT{~zb=`7XM<^Sim7F>rI^hq@C1cS_vS7Um(2 zd^=|M*gAPSSxvdPX}0<=9o&^w-s#DV1K!rw#>tvlEB9~l<~M5RTG~6!q-Jl+rT&@T zmKEP6cjv9RHZ>CK1oJa*;`1|Dh(G&AK3+Se+Wk5WcFBDQtj`{-{Cgs}Z=Y@d zg;6WAv`%GKzY5Eonh-`1`Q0wN-*@nRmczOvTkgcZZt{kNlyVd-PngBlE9{o`CXD@L z-TkYd9qwG%fJpPfmNX7)-EL^S_{@QKdA==FiQsw|Sl4%8glP+d_9#cb3+kzyQ($L! zGumxltEV&g1lE`?QHWdF7E-X-aO?-p>+J_ZQaZZLX#_A^_X9|*(W@9MWVw|eSKSKu zQVTo^XX$09w?p$R2%-SDyrpnl=zce3^@eUK*xznt*dEjiP10weNxg$%dt<~}o5A{- zG`z?BKEb2#hWT*>@dusIvb$r2}4?Ojh9{D@EeM+ z$O2?Z4al+Zf>i#=nz$&bXHtg>1sK5_|H1l1q``LW_{E<`kSw?{Z*yns)dt8p#WHQs zy-|X*8hsRn4va%TdZ`s-=HgaxjDM80wD4ZIgnBZZ!RqHQexbv}M$eM03J z0h9$Ylmc?vQVT=tRjHYb-0aS zNom2J$95h(lS%aDDgn>^TZ7t}syU~Z)>k*cLrtr8g#WlGwRE+^Yk3T%Lp>L<)}2iI zMa2Uqq1fw!0tuW&D+9Mu^h5XYTyC@sCu+yX$aVJfT1>G1 z7t{pWcjc<(E_@+eFc?0)G1-maRIJr4zAFzGmr6JB_hnc#6FWpYc8LHsa$ag~p)a@$ zuE(rBG9t!CW_2G;OQg02MF>$GqqlBB!D7?%zM#~PXCAHgB|JOh$>l~!@khN*Oq|Cp z=RXO1e<{rpoeZ}dsEWK^;5K{P{NTaC+Ps=tb@eP!fFy?+q;yCv!~Kbl5hZFPHA;6I zlny(;;Dx%TzW@~fQB(H|GcfJZ$uLqBU!7^7O<}w<-XEc-J4=xGEAh=cy<%Ml9@{aE zfA>6H#G+*vT6LAe=;b)bqw@_>NTQ$%(6C$yxqTlpBNgm zV%Xu-Zh1mTNVPHoVk4hhS&Tp;%h-Ii;_qYS&4gFi{=JAWBblfAzbdXm3pW0&B>CTe zLCXzdXaCW4@Oik~MdQhT;W{815E85H|EB^im?I#YPya>(B1{Y}2^B5HRUu)WCGU&| zAy4`41P!Z2ocsC^U@Gjn5u6NufKuX^j>9S4(5z7e#4Q- ziBxk<8foXQIye{1R490fuXDT2B!pnE8Ex;2^i_<-i!I$5f|?4DwNo3q9`feJjQ_N9 zNERmyZe4YV!GEmb0P%Rw=es^)Qs3ACe1K;5Nuw8DAK_^=x8`gAh|gQIg=onWK?%?W z6S+19ditdynDh|Gq@C|t&nUDE<9|?X`pJeu5Pl0oUYj z3@!53=hJiKUs85xl1s+f_@d$j)ZR$1PI9NRzKfSF#{c>@9P-_K0+@pU(*WL0zYb)SV z{Sc4*|8@ue4~63|mqsN8(fGZ>F@pp3c(hZntwq#`Pb0m{E8oAVkwXEG-4~&nZV22r zAyk&2xY6NkOOPMbLjG2W105iAr$G^we=Ed6E=l<^v;2*uNN?JbU-z4&RPJ_pMfFP` zeE`&s<;K73BeQco_cr~tkP)0Gs3DcP^S8nx9h4>Fjy&G<`w6MFRxE5W8$(?@m~(9!B3VaN-J4&NDocQ zg#Fz)nbf8hPz8qdzm*{&2yLVIV)?vQ3EmRXUQ0uo_&q{uYb0Ma8_?*= zTEaW>p}g8*C7UwWO>EY(4kF;mvuT#?xCL;vSfrM|1rtASW=rl@INM;^*;4Q}eq0~Q zyxModu@6#j_~gE_KzjE4d0=OrvtAAkQdv23ZRUNw57<)B5h#!L7dLpeWh2zZC77~x zm9cq?v$N|?-ex|Q(?uXKQ&wsz+Oq^pYjv%pRt&a+Z$V_RVEER4_G}(zG{bONBHl-B zqV18($n(wm1YDe_i>buF>~;9NMZJbk%Z(~Z=VgnBo06EdCw~0!)3U|`4eAaP_Ig1Ng zeNI1EJH5CIiL$Ebf==R;#oA!}avna2y%(a3tuUc~=3qZ-K;M@{eGBNbiu|i4-J+3v7Ig7JU6H{NQ_`ngs|Q#*D>< zgS~4u#TjZXjr(ZW7Nnsvo(uLB(j4v+Aupi#wrL^=H-}0;F)1&h{tXVRIDi_Y3dfhbli7 zvwu?)K4H6nO;_=kdS}4=q2gJ(=x0Ubx=lHp0yJ6#n*;_0NjLrbYCTvufI>~tCk%3%ZqbTL z`p4R5Py@<`Cow4F;jgvp&|q_d+WOvqR1bobGILI1Ox9lkAPHZG&-GxHf0_SS$qilG zK-2tIpAKDwfz%@8Twf59m|Kvd)zVj)M`nNC}v7!H2 zar(c90e`+G;Q#XlEa42*jh=ma?Z_VX7^RtAf(A{A+ED*uJ$F3zD4Qtm52POY`ucKGR)Q%cDR%aQ(|SGqugNp;?iWci zDOe!ql!U~=370Z4;&4*xqjL{-mSD5HSlE_Z%82j^5JeWw#%62EoOPKL^*OI3rhA|BXTx)5{D~;y=LCz ztj@I?7#bdiLaqEBga7WOFN!QD8cWgoM{8iP5PLq~Ayudso@8gY!mrLPED`XmdaJ|g z2Gvo*FkvBhYIPk)wGO*VzHi;#Z1nU{Sc%^Ug_ZcdeSLkTx^r}q%Z6XL;gvH#Mn|=6 zs=GZe<)x*iwdA|n&&+Ob3YcIEh@DI1qGErVW|E@R{<%Ckk2(Y+Pb@Yp;UyOT>=Cy&ce9ng~qN;?Ch}P z?5Gn^xbNKUkNfuR^Pk64R!OBIg(s|XdN)nSTwZ9>TWvz2td%_P`3e2*LQhiXgcqTM zdls#7%^CkVLgce{tqci{q`Yl~TE~Ok6!LsuId{y%?j>w@K&{tY1}Q^oIfFEUCy$`p z7-vKlD^h4h1@h-BaLT>l6*wXWmz0@{ii$|l^ZDGmqyY6b;ieyuYE|xNo_j^-d8BZ4 z%(`q)isEV?qw0>nJP5XwH0VtpWM0jIlZA!CTUM`yUMRf9@3P3Y?q=;??wTipfmf_v z$^N3yif-F)sLd(3p?wTxWw39}K`a<|w5^qxM`iSKZA}hZR2tTSXHvk}W?OZx zxtrGnDI0Ywa3Fwt_wCb|jClPM8#(|~D2PX6PwhM)x@)a=6l?8izEU2uQhu94^^Eei z>7VN-t30obrR0qVpl8HyGpkF_7b$xB2{%F>O6p2pR7yN3h{x$9SAX&!WrBw~Kw`<%!_s@jL;m!o>k2x*eENI3J{C;F+Ml)lu|U zl=Zd(KKmm;I?GOoiJ6l_HK7_a5S3BVXF9LrD7t81U_b(OC~zf4@*t{js$r5)P5SSz z68gHr-Gqa+SzTRaCa+MSfRh;j$_IUDP?xT z099?mV^GX?@TGGpyx~fJb!nDlj-NBPZBP^uwtcF+pMt*T2zB(`z6I~tv7_Xoo`mqBaCu(!AO8T^e>1JNrF$|SJ^S!Cbdy?%7w3q_<#{7NPLO>(G}ii(OYLC3iS zjUB)hcF=Yo%UYAp6g+v!?@}2YZtw@zUs?bkYwz~>^&*4+#g{k=n~&-Xm;O4vi{Kj| Oa_6terpVm5{r>3. Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","19. Exercises week 34","Exercises week 35","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks","20. Week 34: Introduction to the course, Logistics and Practicalities","Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression"],titleterms:{"1":[0,15,16,23,24],"10":[],"11":[],"12":[],"13":[],"14":[],"15":[],"16":[],"17":[],"18":[],"19":[],"2":[0,15,16,23,24],"20":[],"2021":[],"2022":[],"2023":21,"21":[],"22":[],"23":[],"24":[],"25":[],"26":[],"27":[],"28":[],"29":[],"3":[0,15,16,23,24],"30":[],"31":24,"34":[15,23],"35":[16,24],"36":[],"37":[],"38":[],"39":[],"4":[0,24],"40":[],"41":[],"4155":[],"42":[],"43":[],"44":[],"45":[],"46":[],"47":[],"5":0,"6":[],"7":[],"8":[],"9":[],"case":[8,10,20,24],"do":[1,23],"final":[12,24],"function":[0,1,6,7,8,10,11,12,13,20,23,24],"import":[5,18,23,24],"new":4,A:[0,1,4,8,9,23],And:[23,24],In:21,Ising:6,The:[0,1,2,3,5,6,7,8,9,11,12,17,23,24],To:[23,24],With:4,about:[23,24],activ:[1,12],actual:[],ad:[0,6,23,24],adaboost:10,adagrad:13,adam:13,adapt:10,adjust:1,adversari:4,again:[3,9],ai:23,aim:[8,9,23],aka:[23,24],algebra:[18,23],algorithm:[9,10,11,12,24],algortithm:13,all:8,an:[0,4,10,23],analys:[5,24],analysi:[0,5,6,11,17,20,23,24],analyt:[0,16],ani:13,anoth:9,appli:17,approach:[0,8,14,23],approxim:12,architectur:1,arrai:[18,23],assist:21,august:24,autocorrel:20,autograd:[2,13],automat:13,back:[1,11,12],background:17,bag:10,base:13,basic:[0,5,7,9,10,11,18,24],batch:1,bay:5,befor:11,better:8,bia:6,binari:1,bind:23,binomi:[],bird:10,block:[],boldsymbol:24,boost:10,bootstrap:[6,10],boston:[0,24],breast:1,brief:23,bring:12,build:[1,3,9],c:23,calcul:24,can:23,cancer:[1,7,9,11],cart:9,center:24,central:[13,17,20],chain:12,chang:10,channel:23,chi:[0,23],choos:1,cifar01:3,classic:11,classif:[1,9,10],classifi:8,clip:1,cluster:14,cnn:3,code:[0,1,2,5,9,11,12,13,14,23,24],collect:[1,3],commun:23,compar:[2,10],complet:24,complex:[0,6,24],complic:6,compon:11,comput:9,computerlab:23,con:9,concept:20,conjug:13,continu:[],contn:23,convex:[8,13],convolut:[3,12],correl:[11,24],cost:[1,10,24],cours:[17,22,23],covari:[5,11,20,24],cover:23,cross:6,cumul:[],cython:23,data:[0,1,3,6,7,9,11,15,16,17,20,23,24],dataset:[1,3],deadlin:23,decai:2,decis:[9,10],decomposit:[5,11,18,24],deep:[1,2],defin:[1,23],definit:[],degre:[0,24],demonstr:[],dens:[0,23],deriv:[5,12,24],descent:[2,10,13],design:24,detail:[3,23],develop:1,deviat:[],diagon:11,dice:[],differ:8,differenti:[2,13],diffus:2,dimension:[2,3,8,24],disadvantag:9,discret:20,disguis:[],distribut:[5,20],doe:24,domain:20,down:1,dropout:1,economi:24,element:[0,20,23],elimin:18,energi:23,ensembl:10,entropi:9,environ:[0,15,23],equat:[0,2,12,23,24],error:[0,10,23,24],essenti:23,etc:23,euler:2,evalu:1,event:[],exampl:[0,1,2,3,4,6,7,8,9,10,23,24],exercis:[0,6,15,16,23,24],expect:20,experi:20,explor:[0,15,16,23],exponenti:2,express:[23,24],extrapol:4,extrem:[10,23],ey:10,fall:21,famili:[1,23,24],famou:18,fantast:24,featur:[9,18,24],feed:[1,12],fine:1,first:[4,12,23,24],fit:[0,10,23],fix:24,forc:3,forest:10,format:23,forward:[1,2,12],fourier:3,frank:[6,24],freedom:[0,24],frequent:24,frequentist:[0,23],from:[5,10,12,24],full:2,further:[3,5,24],fy:[],gan:4,gaussian:18,gd:13,gener:[4,9,23],geometr:11,gini:9,good:[0,23],grade:[21,23],gradient:[1,2,10,13],growth:2,ha:17,handl:[18,23,24],have:23,heard:23,hessian:24,hidden:2,hous:[0,24],how:[],hyperparamet:1,hyperplan:8,i:1,id3:9,idea:11,ii:23,implement:1,implic:[5,24],improv:1,includ:13,increment:11,index:9,inform:21,input:2,instal:[17,23],instructor:21,intercept:24,interpret:[5,11,23,24],introduc:[11,13,24],introduct:[0,6,17,18,23],invers:[5,18],invert:24,iter:10,its:24,jackknif:[],jacobian:24,jax:13,julia:23,jungl:10,kera:[1,3],kernel:[8,11],lagrangian:8,lasso:[5,6,24],last:24,later:[5,24],layer:[1,2,3,12],learn:[0,1,2,11,13,14,15,16,17,23,24],least:[5,6,23,24],lectur:[23,24],level:10,librari:[17,23],likelihood:7,limit:[1,13,20],linear:[0,8,13,18,23,24],link:[5,11,19,22,24],logist:[7,23],loss:24,lu:18,machin:[0,8,13,17,23],mai:23,main:20,make:[0,9,10,15,16,23,24],mani:[10,12],manipul:24,mass:23,materi:[19,23,24],math:[5,24],mathemat:[3,5,8,24],matric:[5,18,23],matrix:[1,5,11,12,18,23,24],matter:[0,23],max:24,mean:[0,23,24],meet:[5,10,20,23,24],mercer:8,mersenn:[],method:[6,9,10,13],min:24,minim:23,ml:23,mlp:12,mnist:[3,4],model:[0,1,4,6,12,23],moment:[],momentum:13,moon:[8,9],more:[3,6,18,23,24],multilay:12,multipl:[1,3],multipli:8,name:[],need:23,network:[1,2,3,4,7,12,23],neural:[1,2,3,4,7,12,23],non:8,normal:[0,1],norwai:[],notat:12,note:24,novemb:[],now:[1,9,13],nuclear:[0,23],nueral:[],numba:23,number:[0,2,20,24],numer:[2,20],numpi:[18,23],object:3,observ:[],obtain:11,octob:[],od:2,off:6,ol:[5,6],one:[2,12],oper:18,optim:[1,8,13,17,23,24],order:13,ordinari:[5,6,23,24],organ:[0,23],oslo:22,other:[4,9,11,12,18,23,24],our:[0,4,5,11,13,23,24],outcom:[17,23],output:2,overarch:[0,4,8,9,23,24],overview:[10,23],own:[0,10,11,15,16,23,24],packag:[18,23],panda:[23,24],paramet:[23,24],part:[13,17,24],partial:2,pass:1,pca:11,pdf:20,perceptron:12,perform:[1,9],period:3,perspect:1,plan:24,point:4,poisson:2,polynomi:3,popul:2,practic:[13,21,23],pre:[1,3],predict:4,preprocess:24,prerequisit:[3,17,23],princip:11,principl:3,pro:9,probabl:[5,20],problem:[1,2,13,23,24],procedur:[9,23],process:[1,3],program:[2,13],project:[6,23],prop:13,propag:[1,12],properti:[5,20,24],pseudo:[],python:[0,9,15,17,18,23],quick:8,r:23,ran0:[],random:[10,11,20],read:[9,23,24],real:[6,23],recip:[],recommend:[23,24],recurr:[4,12],reduc:[0,24],reduct:3,reformul:2,regress:[0,5,6,7,9,10,13,23,24],regular:1,relat:24,relev:[22,24],relu:1,remark:3,remind:[6,8,23],repeat:24,replac:13,requir:[2,17],resampl:6,rescal:6,residu:24,resourc:2,result:24,revisit:13,rewrit:[23,24],ridg:[0,5,6,24],rm:13,rng:[],rule:12,s:[8,10],same:13,sampl:11,scale:24,schedul:[19,23],schemat:9,scheme:2,scienc:23,scikit:[0,1,11,15,16,23,24],second:13,select:[],semest:21,septemb:[],set:[0,2,3,9,12,15,23,24],sgd:13,should:1,similar:13,simpl:[0,4,9,13,23,24],singl:10,singular:[5,11,24],situat:[],size:24,soft:8,softmax:1,softwar:23,solv:2,solver:13,some:[13,18,23,24],specifi:2,split:[0,15,16,23,24],squar:[0,5,6,10,23,24],standard:[13,24],state:[0,23],statement:23,statist:[5,6,17,20,23],steepest:[10,13],still:24,stk3155:[],stochast:[13,20],strongli:23,subtract:24,suggest:23,summari:[21,23],superposit:3,supervis:1,support:8,svd:[5,24],systemat:3,t:24,teach:[19,21],teacher:[21,23],techniqu:[6,11],technolog:17,tensorflow:[1,3],tent:23,test:[0,1,15,16,23,24],textbook:[22,23],thei:23,theorem:[5,8,11,12,20],theori:20,thi:23,think:24,three:[],thursdai:24,tip:13,togeth:12,tool:23,top:1,topic:23,toss:[],toward:11,trade:6,tradeoff:6,train:[0,1,4,15,16,23,24],transform:3,tree:[9,10],tune:1,two:[3,8,17,24],type:[2,4,12,23],uio:23,uncorrel:[],uniform:[],univers:[12,22],unsupervis:14,up:[0,2,9,12,15,23,24],us:[0,1,2,3,7,13,17,23,24],valid:6,valu:[5,11,20,24],variabl:20,varianc:6,variou:[0,15,23],vector:[8,12,18,23,24],view:[0,4,10,24],visual:[1,9],vs:3,wai:9,wave:2,we:23,week:[15,16,23,24],weekli:19,what:[0,23,24],which:1,why:[23,24],wisconsin:7,wrap:24,write:[4,11],x:24,xgboost:10,you:23,your:[0,10,15,16,23,24]}}) \ No newline at end of file +Search.setIndex({docnames:["chapter1","chapter10","chapter11","chapter12","chapter13","chapter2","chapter3","chapter4","chapter5","chapter6","chapter7","chapter8","chapter9","chapteroptimization","clustering","exercisesweek34","exercisesweek35","intro","linalg","schedule","statistics","teachers","textbooks","week34","week35"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.intersphinx":1,sphinx:56},filenames:["chapter1.ipynb","chapter10.ipynb","chapter11.ipynb","chapter12.ipynb","chapter13.ipynb","chapter2.ipynb","chapter3.ipynb","chapter4.ipynb","chapter5.ipynb","chapter6.ipynb","chapter7.ipynb","chapter8.ipynb","chapter9.ipynb","chapteroptimization.ipynb","clustering.ipynb","exercisesweek34.ipynb","exercisesweek35.ipynb","intro.md","linalg.ipynb","schedule.md","statistics.ipynb","teachers.md","textbooks.md","week34.ipynb","week35.ipynb"],objects:{},objnames:{},objtypes:{},terms:{"0":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,21,23,24],"00":[0,1,5,6,11,23,24],"000":[1,3],"0000":[],"00000":11,"000000":[5,11,23,24],"00000000e":[5,24],"000054":23,"0000e":[],"0001":1,"00010403373827253124":9,"000148":[],"00019998":5,"00024087":5,"00028369228101198006":[],"00029012":5,"0003043256065368937":[],"0003153514830957865":6,"00031535148309580783":6,"0003153514830958081":[],"0003153514830958126":[],"0003153514830958235":[],"00034944":5,"000417932":2,"00042089":5,"000464088":2,"00050694":5,"00058016":6,"000599":[],"00060705":6,"00060708":[],"00061058":5,"00062582":[],"00062595":6,"00066668":6,"00068734":6,"00068941":[],"00068946":6,"00069103":[],"00073541":5,"00075315":24,"000755":11,"00075534":11,"00076495":6,"00076905":6,"00076919":[],"00076925":[],"0007698473260556325":6,"0007698473260556334":[],"0007698473260556339":[],"0007698473260556344":6,"00079123":[],"00079129":6,"00079130":[],"00079968":5,"00084705":6,"00084711":[],"00085883":[],"00085884":[],"00085889":6,"00087697":6,"00088573":5,"00092645":[],"00092646":[],"00092647":6,"00096314":5,"001":[1,2,8,13],"00100519":6,"0010479245355337968":[],"0010479245887943952":[],"0010479245926411787":6,"00105081":6,"00106677":5,"00107405":6,"00111756":6,"00112431":24,"0011526":6,"00115999":5,"0011828302640124":[],"00118504":[],"00118508":6,"00118527":[],"001263":[],"00128479":5,"00128634":24,"001323":6,"00137818":6,"00137823":[],"00137835":[],"00139705":5,"00149311":6,"00149956":6,"00152117":6,"00152188":18,"00154733":5,"00156376":6,"00156379":[],"00156382":[],"00168251":5,"00174276":6,"00175331":6,"00186347":5,"001880":5,"001988":[],"00198806":[],"00200":8,"00202464":24,"00202624":5,"00202756":6,"00217499":6,"0021877":24,"00220229":24,"00224413":5,"00228741":[],"00228742":6,"00233155":[],"0023548":6,"002381316302584885":[],"002381316302584886":6,"0023813163025848865":6,"00242999":6,"00243186":6,"0024401":5,"00249435":6,"002526":[],"00266858":2,"00267599":24,"00270244":5,"00274989":6,"00275135":[],"00289724":6,"00293838":5,"002948":[],"0030828":[],"003083":[],"003100":23,"00310113":2,"00312361":6,"00315593":6,"003215318065760509":[],"0032153180657605116":6,"0032153180657605125":[],"00323332":6,"0032542":5,"003301":6,"0033955154592040923":6,"003395515459204093":[],"0033955154592040944":[],"00353823":5,"00355118":18,"003620":23,"0036237":6,"0036367":6,"00369758":6,"003704":[],"003717":[],"003759":[],"003774":[],"003788":[],"0038335":6,"00388494":24,"00390021":[],"003909404072811217":[],"003909404072811221":6,"003909404072811231":[],"00391839":5,"00393128":24,"00397836":24,"0039987":6,"004":5,"00403785":24,"00407056":24,"004091940707753925":6,"004091940707753948":[],"0040919407077539514":[],"00410387":6,"00410478":6,"004113634617443116":[],"0041136346174431284":[],"004113634617443131":[6,24],"004113634617443135":[],"004113634617443139":[6,24],"00411363461744314":[6,24],"004113634617443141":[],"004113634617443147":[6,24],"00415473":24,"0041559863458613296":6,"004155986345861364":[],"004155986345861374":[],"00415763":[],"00416461":24,"00424909":2,"00424967":6,"00426027":5,"00427039":24,"00431511":24,"00433417":11,"00440346":6,"00443743":6,"00444561":24,"00445655":11,"004579219539673834":6,"004579219539673836":[],"00458878":6,"004610275230656182":6,"004610275230656187":[],"004610275230656294":[],"00462287":6,"00471782":5,"00472199":6,"00472512":6,"0049544":6,"004999999999999984":[],"00499999999999999":[],"004999999999999994":[],"004999999999999996":[],"005":[],"0050000000000000044":0,"005000000000000011":[],"00512927":5,"00517114":6,"00526348":6,"0053018":6,"0055043":24,"00554552":6,"00556826":6,"0056799":5,"00569317":24,"00577441":[],"00579953":6,"00588657":6,"00607783":6,"006162":6,"00617499":5,"00625843":23,"00630331":6,"00642221":6,"00660427":6,"0066916":24,"00672607":6,"00673393":[],"00673407":6,"00676387":6,"0068011":6,"0068094":24,"00683748":5,"00683964":6,"00695357":24,"007012403613997257":[],"007024126888936694":[],"007024126888938144":6,"0070241268889382116":[],"00706459":24,"00708794":23,"00715835":24,"00719176":6,"00727646693":[0,23],"007315":[23,24],"007334080205654388":23,"00740173378493795":24,"0074331":5,"00751823":[],"00759119":6,"00779804":24,"00780259":24,"00784393":6,"00791291":24,"00803064":6,"0080866254785146":[],"00813803":6,"00817056":24,"00817631":6,"00823002":5,"00827728":6,"00831018":6,"00834567":6,"00848904":6,"0086649156":[0,23],"008675369724975977":5,"008675369724976501":[],"00877989":24,"008818897251043893":20,"00894639":5,"00905423":6,"009163470508352211":[],"009163470508352218":5,"009164545680330616":6,"00917248":6,"00934327e":24,"00934499":6,"009450756365829578":[],"00950269957492606":24,"0096208":6,"00990475":5,"00992331":6,"00996754":6,"009981":[],"00998135":[],"00it":[],"01":[0,1,2,5,6,9,11,13,22,23,24],"010018312644139205":[],"010018312644139219":6,"010018312644139347":[],"0100706":6,"01023891":[],"010239":[],"010331721306655144":[],"01033172130665515":[],"010331721306655165":6,"01037947":24,"010516485576646504":6,"010516485576646513":[],"010516485576652856":[],"010530":[],"01053024":[],"01066519":6,"01076611":5,"010902":23,"0110":20,"0110407067093945":[],"01104071":[],"011076219011339788":[],"01107621901137465":[],"01107621901137467":6,"011225":2,"0113104":6,"0113975":24,"01179792":6,"01191824":5,"01199624e":[],"01200342":24,"01206708":24,"012073649439965807":[],"012073649469946107":6,"012073649472576395":[],"01207435":24,"01212754811385597":[],"01219292":6,"01222822":24,"01223198":6,"01231917":6,"01242273":24,"01256189":24,"01257962":[],"012580":[],"012633802944855959":[],"01265755":24,"012658":24,"01290947":6,"01295356":5,"013121573975499602":[],"013121573975499604":[],"01312157406137079":[],"013121574061370796":[],"013121574062587286":6,"01318643":6,"01323884":24,"01326608":24,"01347916":6,"01348565":6,"013537225644261203":24,"0136671":24,"01367553":6,"01397146":6,"01405935":6,"01406736":24,"01416528":6,"014209325470380275":[],"01422494":24,"01433809":5,"014436800088896274":[],"014436800088896381":6,"014436800088969727":[],"01449782":6,"01458337":6,"014586":24,"01458611":24,"014599964106338128":9,"0146081":6,"01463049":6,"01479194":23,"015072388895177088":[],"0150723888951771":6,"015072388895177109":[],"015072388895177157":6,"015072388895177239":[],"01509543":[],"01530715721129232":[],"01531845":6,"01538461538462":[],"01542944":24,"01549377":6,"01551946":23,"01558197":5,"0156548":24,"01591355407242949":[],"016285782696017055":[],"016285782696017142":6,"016285782696075054":[],"01631138":24,"01633913":6,"01640891":6,"01654471":24,"01655318":6,"0165866":24,"016587414993037307":[],"016587414993045335":6,"016587414993045405":[],"01691985":6,"0169643":5,"01708781":6,"01708852":6,"01713366":6,"01724499":5,"01735584819559184":[],"017355848195591845":[],"01735584819559331":6,"017355848195593312":6,"017355848195593354":[],"01751529":24,"01756972":[],"01761413":24,"017665":5,"01783414e":24,"01799917e":[],"01817152":[],"018232":[23,24],"01831036e":[],"01831130e":[],"01831200e":[],"01831207e":6,"01831251e":6,"01840062":13,"01852793":23,"01866537":6,"01869785e":[],"01871582":24,"01873344":11,"01873869":5,"01898855":6,"01905883":6,"01908936":6,"0193453":24,"01943082":24,"01944669":24,"019587":[],"01960258":24,"01963611":6,"01969145":6,"01975416527168255":6,"019754165271682844":[],"01975416527179247":[],"01975848":6,"02":[0,4,6,7,12,23],"0202458":[],"020246":[],"02024962":6,"02035804":24,"02054837e":6,"02068067":6,"02073509":5,"02086933":24,"02090061":24,"0209518407597062":[],"02098261":6,"02123176":6,"021250026482402":[],"02129803":24,"02159270458799264":[],"021592704587992645":[],"021592704588021164":[],"021592704588021167":[],"021592704588021174":6,"021592704588021178":6,"02198702e":6,"02198703e":6,"022022882954618364":[],"022075":[],"02207532":[],"02208512":6,"02228115":6,"02229529":6,"02252765":5,"022556":[],"02255619":[],"02298589":24,"02299949826036602":[],"022999498260366198":6,"0229994982603662":[],"0234505":24,"02348765":6,"02354476":[],"023545":[],"02365049":6,"02376036":24,"02383034":24,"024023115996453476":[],"02408959":[],"0245528":6,"02492265":5,"02493054":[],"02498832":6,"02503753":6,"02511518":6,"02522069":6,"02551463":24,"025709":[11,24],"02586427":6,"0260906":6,"02625193":8,"02625928":[],"026408391362671896":[],"02642055e":[],"026605727637176654":[],"026605727637184554":6,"026605727637184558":6,"02660572763718461":[],"026605727637184613":[],"02697521163514974":[],"026986":[],"02698605":[],"02701924":24,"02707227":5,"02723445":6,"027609773491022314":[],"02760977349102238":6,"027609773491022387":[],"027609773491022394":6,"027609773491022407":[],"02762405215108776":[],"02786488":[],"027865":[],"02803041":24,"02840224":24,"02857":4,"02862254":24,"02917662":[],"029177":[],"02917931":24,"02926396":[],"02928941":24,"029483":5,"029613363972682966":[],"029733":[23,24],"02976145":6,"02979908":24,"02994311":5,"02f":6,"02it":[],"03":[1,6,24],"03032441e":6,"030407120354722424":[],"03056589":[],"030566":[],"030693":[],"03069324":[],"03071040e":[],"03076923076924":[],"03077640549":4,"03099776":5,"031":5,"03168642":20,"031846":[],"03184647":[],"03187339273559067":[],"03196357":6,"03232719":24,"03251863":5,"03255258":24,"03256632e":1,"03267527":6,"03278964":[],"032790":[],"03279636":6,"0330308045180234":[],"0330308045183163":[],"0330308045183219":6,"0330308045188872":6,"0330308045190182":[],"03308408":5,"03324117":23,"03326365":[],"033264":[],"033657685071527485":[],"033657685071527624":[],"03365768507152769":6,"03371334":24,"03382304823545749":[],"034047":23,"03423556":24,"03437582":24,"03447512":6,"034557":24,"03509912":24,"03523311":[],"03536673":24,"03562355":6,"03568439":6,"03570747":[],"0358909447132981":[],"035909":23,"0359565":5,"03630548":6,"03707133":11,"03724642":24,"03739417":24,"037559":[],"03755944":[],"03761519":[],"03781367141738885":[],"03781367141738886":[],"037813671417388985":[],"03781367141738899":[],"03781367141738902":6,"03794112":[],"03807267":5,"038073":5,"03814292":6,"03815288":6,"038300":[11,24],"03850557":[],"038506":[],"03893106":24,"039039":5,"03981057":[],"0399676689527966":6,"0399676689527968":[],"0399676689527975":6,"04":[1,6,11],"040102":5,"04010697":6,"04028979":24,"04063602":6,"041":[],"041148729430502":[],"041148729430523":6,"0411487294305246":[],"0411487294305746":[],"041148729430595":6,"04179719":[],"041797190646905":[],"04193203":24,"04220758":6,"042708":[],"04279651270127165":[],"04284519":[],"043":[],"04315108":5,"0433816":[],"04346721":5,"04355837":6,"04362":[],"04368707":[],"0437499":2,"04389027":6,"043927769551648":[],"04413933503955871":[],"04423486":6,"04426744e":24,"04426816":24,"044334":[23,24],"0443659":24,"0444119":[],"044613":6,"04483457":[],"04496448":23,"04537385":6,"04543942":6,"045603":[],"04566964":6,"0458":9,"0459682":24,"04615384615386":[],"04621521":[],"04648335":5,"046491":[],"04649105":[],"0466":[],"04670006":24,"04673082":11,"046731":11,"046785461905835435":11,"04678736":24,"04683565":5,"047737":[],"04775904":[],"04784395":6,"04785727":[],"04787099":24,"047953":[],"04818727730430286":6,"04818727730430296":[],"048187277304303056":[],"048653428302840175":[],"048762":[],"048818":[],"048920":23,"04892055":6,"04909093":6,"04912436":6,"04930820e":[],"049318":5,"049462":23,"0495569966278238":[],"0495569966278269":6,"0495569966278295":6,"0495569966278315":[],"049747":[],"049858":[],"0499586":24,"049960":[],"04996008":[],"04it":[],"05":[1,4,6,13,24],"05004617":24,"05009826":6,"05087958":[],"050910":[],"05100875":6,"051043":[],"051391":[],"051418":5,"051451":[],"05150928":24,"051649":[11,24],"051662":[],"0517473":5,"052206":[],"052227":5,"05227921801205679":6,"05227921801205691":[],"05227921801205692":[],"052279218012057004":[],"052305":24,"052330":[],"052372":[],"05255759":[],"052581":5,"05263":[],"05268304":18,"05290417684691035":[],"05302":[],"053417":24,"0536097":18,"05364854":8,"05367466":20,"053678":[],"05383795":6,"053849":5,"05402365":24,"054182":[],"054305":[],"054335":[],"054340":5,"05434571":[],"054411":[],"05447415":6,"054491":[],"054582":[],"054585":[],"054617":24,"054650":[],"054655":24,"054774":[],"054785":[],"05483267":5,"05491655":23,"054963":[],"05505310046362":[],"05505310046363":2,"055137":[],"055153":[],"055302":[],"055320":[],"05533":[],"055337":5,"055344":[],"055369":5,"055676":[23,24],"055684":[],"055734":24,"055859":[],"055910":24,"055958":[],"055987":24,"056127":5,"056131":5,"05614483":5,"056165":[],"056169":[],"05622775":23,"05623":[],"056233":[],"056235":[],"056468":[],"05648":[],"05651951":6,"056528":[],"05667":[],"056683":24,"057088709963182":[],"057163681553428394":[],"05716368155342902":6,"05716368155351588":[],"0572":[],"057300":24,"057393":24,"057418":24,"057457":24,"057469":[],"05756733":[],"057587":[],"057588":5,"057648":5,"057686":5,"057722":24,"057835":24,"05785343":6,"057877":[],"05789007":6,"057899":[],"05796251":6,"058033":[],"058035":[],"058038":[],"058040":[],"058058":[],"05807125":6,"058088":[],"05833369":23,"058343":5,"05834332":5,"058416":[],"05850532":18,"058552":24,"058585":[],"058596":[],"058645":24,"058663":5,"058715":[],"058732":5,"058740":[],"058816":[],"05883":[],"05884":[],"058854":24,"058890":[],"058948":[],"058952":24,"058955":[],"058957":[],"058974":[],"058996":24,"059013":[],"059031":24,"059180":[],"059272":[],"059278":[],"059294":[],"059378":[],"059437":[],"059601":[],"059783":[],"059795":[],"059807":24,"059824":[],"059933":[],"059951":24,"059952":5,"05999":[],"059993":24,"06":[6,24],"060016":[],"060048":5,"060080":[],"060083":24,"060146":[],"060183":[],"06020587":6,"06021285":[],"060213":[],"060228":[],"060254":24,"060288":[],"060309":[],"060349":23,"06043581":6,"060502":[],"060507":[],"060550":[],"060649":[],"060655":[],"060716":24,"060756":24,"060781":[],"060841":[],"060863":5,"060872":24,"060875":[],"060963":[],"061025":[],"061028":[],"061048":[],"061054":5,"061133":5,"061144":[],"061149":[],"061163":24,"061188":[],"061209":5,"061272":5,"061297":[],"061308":[],"061321":[],"061359":[5,24],"061390":[],"061443":24,"061452":24,"06150169":5,"061502":5,"061505":[],"061509":[],"061538":[],"061604":[],"06160438":[],"061614":24,"061646":[],"061679":23,"061685":[],"061701":[],"061716":[],"061725":[],"061745":[],"061765":[],"061821":[],"061898":[],"061917":[],"061923":[],"061966":5,"06200174":5,"062016":24,"062061":[],"062062":[],"062064":[],"06208238634231944":[],"062082386342319454":6,"06208238634231953":[],"062089":[],"062097":[],"062136":[],"062142":[],"062195":[],"062220":5,"062292565":4,"062294":[],"062305":[],"062333":5,"062337":24,"062370":5,"062391":[],"062409":[],"062411":[],"062435":[],"062451":[],"062498":[],"062517":[],"062534":[],"062551":[],"062563":[],"062599":24,"062624":24,"062640":[],"062665":[],"062676":[],"062706":[],"062719":11,"062773":[],"062777":[],"062827":[],"062834":[],"062874":24,"06287717":24,"062881":[],"062884":[],"062888":[],"062983":[],"063014":[],"063019":24,"063024":[],"063052":[],"063061":24,"063078":[],"063080":24,"063084":11,"063125":[],"063173":[],"063192":[],"06319374":18,"063241":[],"063250":[],"063260":24,"063287":[],"063343":[],"063364":[],"063371":[],"063375":[],"063401":[],"063443":23,"063493":[],"063513":[],"063524":11,"063612":[],"063619":[],"063631":[],"063653":24,"063657":[],"063724":23,"063752":[],"063781":[],"063851":[],"063857":[],"063872":[],"063874":[],"06388888888888888":[],"063894":24,"063977":[],"063979":[],"064041":11,"064052":[],"064062":[],"064074":24,"064081":5,"064108":[],"064110":[],"064184":[],"064274":[],"064284":5,"06432223":24,"064329":[],"064384":[],"064388":[],"064431":[],"06444":[],"064442":[],"064459":[],"064461":[],"064469":[],"064483":[],"064501":24,"06453579006728315":[],"06453579006728322":6,"064538":[],"064573":[],"064604":[],"064606":24,"064609":24,"064618":[],"064623":[],"064634":[],"064637":11,"064648":[],"064658":[],"064681":[],"064684":5,"064699":24,"064753":5,"064787":[],"064793":24,"064823":5,"064838":[],"064859":[],"064880":[],"064896":[],"06491736":6,"064918":[],"064931":[],"064937":[],"064964":[],"06497046":[],"064974":5,"065020":[],"065026":23,"065032":[],"065077":24,"065095":5,"065106":[],"065110":[],"065118":5,"065165":5,"065168":[],"065183":[],"065228":[],"065249":[],"065252":[],"065282":[],"065314":[],"065348":[],"065349":5,"065378":24,"065390":24,"065410":24,"06547790180152352":6,"06547790180152353":[],"06547790180152355":6,"06547790180152357":[],"06547790180152363":[],"065514":[],"065537":[],"065557":[],"065575":[],"065641":[],"065657":[],"065680":[],"065730":[],"065761":[],"065796":[],"065826":[],"065846":[],"065869":[],"065892":[],"065942":[],"065973":5,"065974":[],"065983":[],"06602663":[],"066051":[],"066056":[],"066064":[],"066066":24,"066093":[],"066110":[],"066189":5,"066194":[],"066220":[],"066223":[],"066228":[],"066241":[],"066270":5,"066284":5,"066309":[],"066340":[],"066348":[],"066356":[],"06637":[],"066388":[],"066449":[],"066474":24,"066500":24,"066528":[],"066553":[],"066558":[],"066569":5,"066580":[],"066590":[],"066609":[],"066612":24,"06662062":23,"066647":24,"066651":[],"066654":[],"066670":[],"066675":[],"0666807":2,"066714":[],"066729":[],"066741":[],"066753":[],"066787":24,"066789":[],"066808":[],"066828":[],"066837":[11,24],"066850":[],"066854":24,"066870":[],"066873":[],"066919":[],"066934":[],"06695337":18,"066954":[],"066999":24,"067011":[],"067079":[],"067110":[],"067141":[],"067162":[],"067191":[],"067213":[],"067236":[],"067240":[],"06724062":5,"067282":[],"067392":[],"067402":[],"067432":[],"067437":[],"067443":[],"067449":[],"067484":[],"067499":[],"067506":[],"067525":[],"067527":[],"067544":[],"067547":[],"067560":[],"067585":[],"067597":[],"067599":[],"067612":[],"067615":[],"067620":[],"067622":[],"067637":24,"067675":[],"067693":[],"067707":24,"067709":[],"067710":[],"067712":[],"067714":[],"067719":11,"067720":[],"067723":[],"067767":[],"067769":[],"067775":[],"067787":[],"067854":[],"067856":[],"067864":[],"06786925114666595":[],"067907":[],"067908":[],"067934":[],"067956":[],"068019":[],"068059":[],"068075":[],"068087":[],"068093":[],"068094":[],"068098":[],"068103":[],"068104":[],"068110":[],"068120":[],"068136":[],"068197":[],"068210":[],"068261":[],"068264":24,"068307":24,"068318":[],"068345":[],"068358":[],"068363":[],"068376":[],"068391":[],"068417":[],"068441":24,"06844519414009438":[],"06844519414009442":[],"06844519414009444":6,"06844519414009445":6,"068461":[],"068500":[],"068505":[],"068525":11,"068538":[],"068541":5,"068573":[],"06858699":[],"068593":[],"068608":[],"068619":[],"068629":24,"068642":[],"068654":[],"068659":[],"068664":[],"068689":[],"068724":[],"068727":24,"068735":[],"068776":5,"068799":11,"068806":[],"068809":[],"068831":[],"068841":5,"068852":[],"068867":5,"068906":24,"068920":[],"068937":[],"068953":[],"068965":[],"068991":[],"068992":[],"068999":5,"069010":[],"069015":[],"069028":24,"069036":[],"069044":[],"069065":[],"069085":[],"069091":[],"069181":[],"069187":5,"069202":5,"069231":[],"069242":5,"069268":5,"069275":[],"069276":[],"069281":[],"069285":[],"069355":11,"069386":[],"069408":[],"069409":[],"069421":[],"06942103":[],"069436":[],"069441":[],"069452":24,"069454":[],"069455":[],"069465":11,"069475":11,"069476":[],"069494":[],"069506":5,"069534":[],"069578":[],"069584":[23,24],"069626":[],"069640":5,"069651":[],"069654":[],"069667":[],"069672":[],"069681":[],"069685":[],"06969872":18,"069748":[],"069754":[],"069796":[],"069801":[],"069838":[],"069847":[],"069877":[],"069884":[],"069888":[],"069903":[],"069907":[],"069912":[],"069977":[],"06it":[],"07":[6,24],"070018":[],"070028":[],"070034":[],"070043":[23,24],"070056":[],"070071":[],"070074":[],"070105":[],"070146":24,"070150":[],"07016":[],"070163":[],"07017":[],"070213":24,"070216":[5,11],"070222":11,"070276":[],"070288":[],"070333":5,"070339":[],"070343":[],"070370":[],"070379":[],"07039":[],"070419":[],"070428":11,"070429":[],"070443":[],"070450":5,"070453":[],"070457":24,"070466":[],"070491":[],"070492":[],"070494":5,"070518":[],"070562":[],"070576":[],"070582":24,"070585":[],"070612":[],"070618":[],"07062318":6,"070630":[],"070635":[],"070737":24,"070775":[],"070810":11,"070835":[],"070860":[],"070871":[],"070874":[],"070887":[],"070889":[11,24],"070911":[],"070945":5,"070950":[],"070959":[],"070961":[],"070972":[],"070986":24,"07099747918547346":[],"071003":[],"071009":[],"071022":[],"071044":11,"071086":[],"071106":[],"071112":[],"071115":11,"071120":[],"071136":[],"07115":[],"071239":[],"071243":[],"07129539":[],"0712953943627344":[],"0713":[0,23],"071326":[],"071329":11,"071387":[],"071388":[],"071394":5,"071421":11,"07143876":24,"071441":[],"071445":[],"07145103":11,"071460":[],"071467":[],"071476":[],"071480":[],"0714956":[],"071505":[],"071510":[],"071515":[],"071523":11,"071529":[],"071547":[],"071552":[],"071569":[],"071585":11,"07160048164232467":[],"07160048164232538":6,"0716004816423254":6,"07160048164248561":[],"071604":[],"071614":[],"071632":[],"071641":[],"071666":[],"071698":[],"071705":[],"071741":[],"071767":[],"071804":[],"071836":[],"071852":[],"071897":11,"071901":[],"071906":[],"071908":[],"071920625289855":5,"071921":[],"071922":[],"071935":[],"071946":11,"071949":[],"071991":[],"072000":24,"072008":[],"072011":[],"07201957":[],"072021":[],"072041":[],"072084":[],"072091":[],"072111":24,"07212695":[],"072127":[],"072132":24,"072145":[],"072147":[],"072150":5,"072184":[],"072198":[],"072216":[],"072222":[],"072240":[],"072242":[],"072290":[],"072342":[],"072348":[],"072352":[],"072361":[],"072364":11,"072370":[],"072435":[],"072442":[],"072452":11,"072471":[],"072476":24,"072483":[],"072492":[],"072521":[],"072523":[],"072529":[],"072530":11,"072554":[],"072558":[],"072569":[],"072575":[],"072597":[],"072598":[],"072611":[],"072617":[],"072620":[],"072621":24,"072647":11,"072651":[],"072652":[],"072750":[],"072751":[],"072783":11,"072798":[],"072813":11,"072824":[],"072828":[],"072839":[],"07285":3,"0728785":[],"072898":[],"07291729":[],"072918":[],"072928":[],"072955":[],"072958":[],"072970":[],"072974":[],"072994":[],"073013":[],"073016":[],"073045":[],"073052":[],"073062":[],"073080":[],"073105":[],"073120":[],"073134":[],"073136":[],"073159":5,"073183":11,"07319349":18,"073206":[],"073225":[],"073230":[],"073238":[],"073280":[],"073299":5,"073303":[],"073320":[],"073362":[],"073368":[],"073369":[],"07337358":5,"073374":5,"073380":[],"073391":[],"073400":[],"073423":[],"073433":11,"073436":[],"073449":[],"07345504":[],"073489":[],"073506":[],"073531":[],"073548":[],"073567":5,"073575":[],"073583":[],"073597":[],"073598":[11,24],"073601":[],"073629":[],"073644":24,"073647":[],"073657":5,"073668":[],"073695":[],"073699":[],"073716":5,"073719":[],"073750":5,"073761":[],"073768":11,"073777":[],"073810":[],"073811":11,"073816":[],"073827":[],"073831":5,"073904":11,"073907":[],"073925":5,"073938":[],"073949":[],"073959":[],"0739975":24,"074006":[],"074019":11,"074034":[],"074050":11,"074067":[11,24],"074084":24,"074111":[],"07413172":[],"074144":11,"074149":[],"074183":5,"074210":24,"07421084":5,"074237":[],"074258":5,"074276":[],"074323":24,"074336":[],"074346":[],"074375":[],"074401":[],"074418":[],"074420":[],"074480":[],"074488":[],"074513":[],"074530":[],"074552":[],"07456491":5,"074569":[],"074573":[],"074592":[],"074666":[],"074684":[],"074693":[],"074708":[],"074715":[],"074729":5,"074743":[],"074760":11,"074763":[],"074773":[],"074833":[],"074838":[],"074839":[],"074845":[],"074881":[],"074905":[],"07490892":6,"074922":11,"074945":[],"074969":11,"074980":[],"074984":5,"074986":[],"074992":[],"075012":[],"075017":[],"075020":5,"075028":5,"075043":[],"075058":[],"075061":[],"075102":11,"075136":[],"075138":[],"075145":11,"075149":[],"075181":[],"075188":[],"075192":[],"075195":[],"075201":11,"075222":11,"075227":5,"075228":[],"075241":[],"075262":[],"075302":[],"07532297":20,"075335":[],"075356":[],"07535606":[],"075389":[],"075433":[],"075498":[],"07557024":24,"075573":[],"075586":[],"075594":[],"075612":11,"075618":[],"075629":[],"075728":[],"075760":[],"075770":11,"075797":11,"075816":24,"075820":[],"075840":[],"075889":24,"075899":[],"075959":[],"075982":5,"075987":11,"076022":[],"076055":[],"076066":[],"076079":[],"07608141":13,"076096":[],"076097":[],"076121":[],"076130":[],"076150":24,"076173":[],"076204":[],"076216":[],"076248":[],"076264":[],"076270":[],"076282":[],"076306":11,"076315":[],"076329":[],"076338":[],"076349":[],"076389":[],"0764924":6,"076518":11,"076525":[],"076532":[],"07656896":[],"076588":[],"076589":[],"076604":[],"076619":5,"076628":[],"076632":11,"076637":[],"076665":[],"076697":[],"076726":[],"076729":[],"076760":[],"07678":[],"076780":[],"076783":[],"076795":[],"076804":[],"076821":[],"076843":[],"076862":[],"076866":[],"076886":11,"076895":[],"076905":[],"076927":11,"076938":[11,24],"076942":[],"076955":[],"076958":[],"076990":[],"077003":[],"077009":[],"077013":[],"077015":[],"077022":[],"077033":11,"077062":[],"077083":[],"077108":[],"077131":[],"077140":[],"077144":[],"077158":[],"077164":[],"077168":24,"077200":[],"077203":11,"077211":[],"077219":[],"077228":[],"077291":[],"077338":[],"077349":[],"07735703":[],"077359":[],"077372":11,"077375":[],"077402":[],"077419":[],"077425":[],"077428":5,"077452":[],"077460":24,"077467":[],"077499":[],"077511":11,"077607":[],"077620":[],"077644":[],"077706":[],"077711":[],"077724":[],"07777777777777778":1,"077785":[],"077793":[],"077822":[],"077846":11,"077921":[],"077930":11,"077948":[],"077978":[],"077986":[],"078040":[],"078042":[],"078082":5,"078101":[],"078110":24,"078143":[],"078157":[],"078158":5,"078167":[],"0782":[],"07820":[],"078211":11,"078253":[],"078254":[],"078269":[],"078299":[],"078300":11,"078314":11,"078323":11,"078336":24,"078432":[],"078436":[],"07844310540708652":[],"078484":5,"078508":[],"078540":24,"078542":[],"078548":[],"07858099596662704":5,"078587":5,"078609":[],"07864":[],"078646":[],"078651":[],"078667":[],"078672":[],"078697":[],"078704":[],"078707":5,"07871":[],"078710":[],"078719":[],"078725":[],"078749":[],"078768":11,"078771":[],"078776":[],"07878641":[],"078795":[],"078812":[],"078845":[],"078860":[],"078899":[],"078908":[],"078911":[],"078942":[],"078962":[],"078974":24,"07897647347778382":[],"07898165660100093":[],"078986":24,"078992":[],"078999":[],"079001":11,"079021":5,"07903849":[],"079056":[],"079110":[],"079142":[],"079157":[],"079158":[],"079179":[],"079214":[],"079218":11,"079224":5,"079225":[],"079242":[],"079260":[],"079264":[],"079268":[],"079273":[],"079278":[],"079281":[],"079306":11,"079347":[],"079383":11,"079389":[],"079405":[],"079406":[],"079424":[],"079438":[],"07944154":[18,23],"079443":[],"079447":[],"079476":11,"079483":[],"079486":[],"079489":[],"079493":[],"079495":[],"0795449":[],"079553":[],"079558":[],"079609":[],"079618":11,"079622":11,"079631":[],"079676":[],"07968918676726029":[],"0796891867672603":6,"079719":[],"079729":[],"079741":[],"079819":[],"079823":[],"079839":[],"079847":[],"079882":[],"079893":[],"07989327":[],"079901":[],"079944":5,"079946":24,"079948":5,"079991":[],"07999999999998":[],"07e":[],"08":[20,24],"080026":11,"080056":[],"080061":5,"080106":[],"080120":5,"080137":[],"080200":[],"080256":[],"080288":[],"080297":[],"080312":[],"080319":[],"080332":[],"080334":[],"080343":11,"080347":[],"080370":[],"080406":[],"080407":[],"080410":[],"08041015":[],"08043851":5,"080455":[],"080479":[],"080502":[],"080517":[],"080555":[],"080571":11,"080582":[],"080588":[],"080593":[],"080616":24,"080630":[],"080642":11,"080647":[],"080699":11,"080706":[],"080738":[],"080764":[11,24],"080801":[],"080821":[],"08084392":24,"080847":[],"08085812":[],"080916":[],"080922":[],"080973":[],"080984":[],"080998":11,"081022":11,"081046":[],"081072":[],"081140":[],"081144":[],"081163":[],"081198":[],"081211":[],"081216":11,"081233":[],"081253":[],"081262":[],"081276":24,"08131003":6,"081311":[],"081321":[],"081334":[],"081343":[],"081357":[],"081388":[],"081396":[],"081431":[],"081468":[],"081483":[],"081503":[],"081520":[],"081533":[],"081540":[],"081547":[],"08156108":6,"081576":[],"081613":[],"081637":[],"08165104":24,"081655":24,"081707":[],"081773":[],"081832":[],"081837":[],"081848":[],"08188077":[],"081881":[],"081932":[],"081953":[],"081989":11,"081990":11,"082014":[],"082027":[],"082122":[],"082140":5,"082174":[],"082183":[],"082189":[],"082204":[],"082267":[],"082282":5,"082286":[],"082288":[],"082295":[],"0823185":[],"082339":11,"082424":[],"082426":[],"082431":11,"082451":[],"082503":[],"08251519":6,"082536":[],"082620":[],"082642":11,"082653":24,"082683":[],"08271198519070039":11,"082716":[],"082786":[],"082846":[],"082852":[],"082874":[],"082875":23,"082896":[],"082900":[],"082921":[],"082939":[],"082990":[],"08299273e":6,"083000":[],"083015":[],"083021":11,"083026":[],"083053":[],"083087":[],"083102":5,"083151":[],"083152":[],"08318298e":1,"083217":[],"083220":[],"08322642264994606":[],"083227":[],"083242":[],"083251":[],"083272":[],"083276":[],"08328216846752691":[],"083300":[],"083320":[],"08333333333333333":1,"083361":[],"08336233266":4,"083380":5,"083399":[],"083404":[],"083417":[],"08343519179767796":[],"083441":[],"083495":[],"083506":[],"083527":[23,24],"08352721390288316":23,"08356774001062162":[],"083573":[],"083579":[],"083600":[],"083629":11,"08363087":23,"083648":[],"083681":[],"083692":[],"083694":[],"08370888":24,"08376632":[6,24],"083766322923899":[6,24],"0837663229239016":[],"0837663229239025":[],"0837663229239043":[6,24],"083779":5,"083799":[],"083829":[],"083832":[],"083849":[],"083899":[],"083913":[],"083935":[],"083977":[],"084000":[],"084006":[],"084008":[],"084017":[],"084018":[],"084019":[],"084024":[],"084032":[],"084076":24,"084086":5,"084092":[],"084096":[],"084101":[],"084107":5,"084147":[],"084151":[],"084184":[],"084223":[],"084224":[],"084226":[],"08426840630693411":[],"08426840630693412":6,"08426840630693413":6,"084269":11,"084277":[],"084278":[],"08428156":[],"084282":[],"084286":5,"084364":[],"084391":[],"084400":[],"084408":[],"084414":[],"084426":11,"084434":[],"084444":[],"084476":[],"084477":[],"084484":[],"084523":5,"084536":[],"084549":[],"08455":[],"084570":[],"084604":[],"084629":[],"084645":[],"08464758160254343":[],"084657":[],"084670":[],"084682":[],"084683":[],"084702":[],"084728":[],"08474":[],"084777":[],"084809":24,"084846":[],"084862":[],"084904":[],"084909":[],"084912":[],"084920":[],"084927":11,"084936":[],"084965":[],"084979":[],"085010":11,"085018":[],"085027":[],"085044":[],"085105":[],"085113":[],"085163":[],"085165":[],"085167":[],"085184":[],"085185":[],"085224":[],"085249":[],"085264":[],"085345":[],"085361":[],"085368":[],"085405":[],"085410":11,"085416":[],"08551306":6,"085571":5,"085655":5,"085764":[],"08576932":6,"085776":[],"085879":[],"08593216":6,"085936":[],"086021":11,"086074":[],"086076":[],"086109":11,"08611111111111111":1,"086112":[],"08612280083325631":[],"086154":[],"086174":[],"086178":[],"086203":[],"086249":[],"086250":[],"086257":11,"086262":[],"086303":[],"08630331":[],"086322":[],"086409":[],"086420":[],"086518":[],"086567":[],"086608":[],"086610":[],"086665":[],"086679":[],"086705":[],"08673755293381497":[],"086802":[],"086807":[],"086809":[],"086841":[],"086872":[],"086877":[],"086888":[],"086890":[],"08690":[],"086951":[],"086956":[],"086994":[],"086997":11,"087081":[],"087208":[],"087224":[],"087235":[],"087372":[],"087387":[],"087470":11,"087501":[],"087573":[],"08758":[],"08759":[],"087615":11,"087689":[],"087833":[],"087834":[],"087887":23,"087891":[],"087894":[],"087910":[],"088029":[],"088104":11,"088119":[],"08816688":[],"088176":[],"0881981":5,"088212":[],"088261":[],"088271":[],"088460":[],"088476":[],"088519":[],"088526":[],"088560":[],"088606":[],"088611":[],"088631":[],"08871404":5,"08873443359350565":5,"088758":[],"088760":11,"088765":[],"088809":[],"08881497884574564":24,"088816":[],"088825":[],"088853":[],"08887708":23,"08888888888888889":1,"088926":[],"088946":[],"08902":[],"089041":[],"089059":[],"089082":5,"08917679":[],"089177":[],"08918584":20,"089206":[],"089212":[],"089233":11,"089246":[],"089306":[],"089310":11,"089329":[],"089355":[],"0893679":6,"089369":[],"089374":[],"089425":[],"089501":[],"089505":[],"089524":[],"0895387":24,"089539":24,"089551":[],"089614":[],"089683":[],"0896981":[],"089758":[],"089775":[],"08996":[],"089982":11,"09":[1,24],"090014704675496":[],"090028":[],"090039":[],"090128":[],"090174":[],"090229":[],"09023660662586945":[],"090241":5,"090268":5,"090270":[],"090337":[],"090349":[],"09034902":[],"0903549":[],"090356":[],"090358":[],"090451":[],"090503":[],"090564":5,"090630":[],"090649":[],"090694":[],"090730":[],"090755":[],"090830":[],"09083636328656121":20,"090849":[],"09085624":[],"090929":[],"091031":[],"091051":[],"091060":[],"09117221":[],"091224":[],"091236":[],"091266":[],"091311":[],"091315":[],"091340":[],"091349":[],"091363":[],"091414":[],"091416":[],"091426":[],"091440":[],"091477":[],"09149881":[],"091620":[],"091630":[],"091647":5,"09166666666666666":1,"091696":[],"0917":9,"09170751":[],"09172408":[],"09172409":6,"091891":[],"092066":[],"092126":[],"09216046":[],"092249":11,"0923":[],"092409":[],"09251":[],"09252364":[],"092524":[],"092621":[],"092769":[],"092879":[],"09297039":[],"092998":[],"093078":[],"093247":[],"0934597075922044":[],"093497":[],"093593":[],"093624":[],"0938":[],"093844":[],"093930":[],"093979":[],"094082198961999e":6,"0940821989624095e":[],"0940821989643363e":6,"094082198966615e":[],"0940821989673748e":[],"094362":[],"09440475":[],"094404754965417":[],"09444444444444444":1,"094472507965532":[],"094477":[],"094619":[],"094657":[],"094722":[],"094848":[],"094867":[],"094925":11,"095171":[],"095184":[],"095313":[],"095510":[],"095522":[],"095617":[],"095702":[],"0957156":24,"095871":[],"095902":[],"095935":[],"09609807":5,"096173":[],"096472":[],"096516":[],"09652672":24,"096623":[],"09672929714683368":[],"09677394":[],"096893":5,"096894":[],"097":[],"097360":[],"097396":[],"09744":[],"09744272":[],"097602":[],"097634":[],"097710":[],"09780":[],"09791":[],"098135":[],"09849763":[],"098498":[],"09856879":[],"09861229":[18,23],"098802859381565":[],"099":[],"09903804":8,"0991919894927399":[],"09919198949274803":6,"099191989493334":[],"09951287404314545":1,"099648":11,"09964817":11,"099777":[],"0n":[0,23],"0s":[],"0x11da42d90":[],"0x11db14850":[],"0x11e031e50":[],"0x11e09b370":[],"0x128ee8850":[],"0x12946f2e0":[],"0x13b240850":13,"0x13b8c72e0":13,"0x7fad10f9a280":[],"0x7fad20f69be0":[],"0x7fd098df3280":[],"0x7fd0a9063be0":[],"1":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,19,20,21,22],"10":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,19,20,21,23,24],"100":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,18,20,21,23,24],"1000":[0,1,2,4,5,8,11,13,14,17,20,23,24],"10000":[2,5,6,10,11,13,20],"100000":8,"10001":10,"1001":20,"1002":20,"1003":20,"10030":[],"100303":[],"100358":[],"10044225464078282":[],"1005":20,"100670":[],"10077114273548984":6,"1009":20,"1011":20,"1013":20,"1013904243":20,"10141413e":6,"1015":20,"102":24,"1022233262115424":[],"10222333":[],"1023":20,"10230":[],"1023111":[],"1023858":20,"1024":3,"102401":[],"102449":[],"1026":20,"1027":20,"1028":[],"103":1,"1030":20,"10302062":[],"103257":[],"10340":[],"1037":20,"10378326e":1,"1038":20,"103822":[],"10391807":6,"10398646080125035":[],"10398646080125036":6,"10398646080125037":6,"1040":20,"10405456":11,"10430":[],"104411":[23,24],"10455924":[],"1047":20,"10505137":[],"105161":[],"105169":[],"10516924":[],"10520":[],"10555555555555556":1,"1056":[],"10589577":5,"106":[],"106095":[11,24],"10620135":[],"106431":23,"107":[],"10790125813226321":24,"108":6,"108359":[],"10835935":[],"10880921":24,"109":[],"10913":6,"10931453":6,"10950766":23,"10960":[],"1096767776832326":[],"10967678":[],"10th":9,"10x":[0,23],"11":[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21,22,23,24],"110":[],"1100":20,"1101":20,"11022302e":[],"11046771":[],"111":[1,7,12],"11100":[],"1122558214":[],"112319":[],"11231934":[],"112383":[11,24],"1124":[],"1125":[],"11283168":[],"11297834":[],"1133":6,"11352543":24,"1136":[],"11362930e":[],"11388888888888889":1,"1139":[],"11390":[],"114":[],"11402309":[],"114437":[],"11462415":5,"11481199":20,"11482289e":6,"11499517":[],"11507992e":1,"11547777218875695":[],"11547777218875696":[],"11547777218876518":6,"11547777218940905":[],"11547777218940906":[],"115822":6,"11590":[],"11598862":[],"11598862273198":[],"11604844":[],"116048442683864":[],"11660":[],"11666666666666667":1,"11674401539815678":[],"117":8,"117430":23,"11744554e":6,"11780":[],"11790868":[],"117986":[],"118":2,"1182":[],"1183":[],"118318":[23,24],"1184":[],"11840":[],"1185":[],"11850274":[],"1186":[],"11890":[],"119":2,"119625":[],"11962537":[],"1199":[],"119936":2,"119999999999976":[],"11it":[],"12":[0,1,2,3,4,5,6,8,9,11,12,13,18,20,22,23,24],"120":[2,3],"1203":[],"1203284":8,"12044974":24,"120450":24,"1206":8,"12069773":[],"121":[8,9,10],"12152272":18,"1215pm":[21,23],"12167821":[],"12182967":6,"12196674":[],"122":[2,8,9,10],"12222222222222222":1,"122282":23,"122439":[],"1224392":[],"12288563":[],"122886":[],"123":2,"12302855":13,"12318726e":6,"12330033":24,"12330280229368":[],"12333649":6,"12345260617257443":[],"123459876":[],"123711":6,"12380":[],"12387751":13,"124":[0,23],"12400":[],"12434807":23,"125":[],"1250":[],"125000":[],"12539459":23,"12552073e":6,"12591227":24,"126":[],"1261":[],"12618549":5,"12630042":18,"1265":[],"127":4,"1270":[],"127043":[],"1271":6,"1277":6,"127773":[],"12777777777777777":1,"127812":23,"12788968":[],"12790":[],"128":[3,4,13],"128664":6,"12871842":24,"12885048":23,"12898627064868978":[],"129":2,"12934015":23,"12937662":[],"12945452":[],"1297":[],"1297300314822336":20,"1298":9,"12adb44b1c20":[],"12m":[],"12pm":[21,23],"13":[0,2,5,6,9,11,12,13,18,20,23,24],"130":[],"13003291":6,"13030182":[],"13055555555555556":1,"130694":24,"13069442":24,"131":[],"13117061":[],"13131825":18,"1314":[],"132":[],"13220608e":6,"13229545716505003":[],"132360":[],"1323603":[],"1326":[],"13261136":23,"1326197715":23,"13280":[],"13288373":[],"133":7,"13320535":23,"13333333333333333":[],"135":[],"13519106":[],"13535942":6,"136":[],"1360":[],"13609760e":[],"1361":[],"1362":[],"1363":[],"1364":[],"13646574":5,"13655438":[],"13661243e":6,"13679863":6,"1371":6,"13734823":18,"13740":[],"137400784702911":24,"137652":[11,24],"1378":[],"1382":[],"1383":[],"1384":[],"1385":[],"1386":[],"13865173":5,"13876586436927824":[],"138775":[11,24],"1388888888888889":1,"13890":[],"1392559581788775e":[],"1392559584983597e":[],"1392559585048734e":6,"1392559591206444e":6,"13925595925919e":[],"13it":6,"14":[0,2,4,5,6,8,9,10,11,12,13,18,20,22,23,24],"140":2,"14021063":6,"1404":[],"14042769":[],"140428":[],"141":2,"14100":[],"1416398":6,"14174062":23,"14174745":6,"1418":[],"142":[],"14231548":20,"14250":[],"14252712":23,"14277718e":24,"142857":[],"14298603":20,"143":[2,7],"1435666":[],"14360598":[],"1437":1,"144":[],"14400":[],"1440501043841336":1,"14440":[],"14451625":[],"1446729567":4,"14484695":[],"144993":23,"145":2,"1457774":20,"146":2,"14617985":23,"147":[],"14710":[],"1472032":18,"14722222222222223":1,"147400":[11,24],"14741468":[],"147420":[11,24],"14783702":[],"1479":[],"148":[],"14812206":6,"14818":[],"1484256":[],"148564":[],"14859":6,"148768":[],"148854":6,"149":[],"149213":[],"14932651":[],"149655":6,"14988578":[],"149886":[],"14995486":[],"149955":[],"14g":6,"14it":[],"15":[0,2,4,6,7,8,9,12,13,15,16,18,20,23],"150":[4,8],"15005476":5,"150184":[],"15089627":18,"150920":11,"15092012":11,"1509778":[],"15098090e":6,"151":[],"15130074e":6,"151348":[],"151986":[],"152":[],"15200":[],"15258907":[],"152696":[],"15269628":[],"1527777777777778":1,"153036":[23,24],"153106":[],"1533795":[],"153760":[],"15384615384616":[],"154":[],"15410688":11,"154107":11,"15442554":18,"15454301":[],"154720":[],"15483121":[],"154911":[],"155":[],"155491":[],"155687":[],"155883":[],"156":[],"1562":[],"15629539":[],"15680777":[],"156956":5,"157":[],"15717291":[],"1575":[],"158":[],"1583767":[],"15843769515580663":[],"1586300629904382":[],"1587":[],"15891336":[],"15899253":23,"159":[],"1590":[],"15990":[],"15g":6,"15it":6,"15pm":23,"16":[1,2,3,4,5,6,8,9,10,20,23,24],"160":[],"1603":3,"1604":[],"1605":[],"160539":[],"1606":[],"1607":[],"16111111111111112":1,"1612":[],"1614891":18,"16167387":23,"16211139":5,"16220":[],"162246":5,"16231451":4,"1625":[],"1628":[],"162999":23,"163":[],"16304863":24,"163049":24,"1630775253":1,"16342407":5,"16343471":6,"16384":3,"16397496":23,"16500":[],"166":[],"16660817":[],"166667":[],"167":[],"16740002":[],"167787":5,"168":[],"168044":[],"16804444":[],"16805821e":6,"16807":[],"16827044":[],"16832385":[],"16840081":23,"16961682":[],"16b8e3cda33a":[],"17":[1,2,5,6,8,20,24],"17084902":[],"1709":[],"171525":24,"1715252":24,"17174962e":1,"17222222222222222":1,"172405":[],"17240522":[],"1726":[],"17300":[],"1731":[],"17339342":[],"17446471":6,"1752":[],"175300":[23,24],"17641709":6,"17647619":6,"176880142835407":[],"17709473":18,"17777777777777778":1,"17801022":5,"17826349":23,"17861098":6,"17897671":20,"17917768":5,"17930649":[],"17938393":13,"17942122":13,"17949575":5,"17953942":11,"1797":[1,3],"18":[2,6,7,8,9,10,13,20],"180":[],"18029127":5,"1807":4,"1809":[],"181":[],"1810":[],"1812":[],"18156717":[],"18166474":20,"1821":[],"18266178":5,"182662":5,"18276924":[],"18327677":[],"18333333333333332":1,"18383522":24,"18393678":[],"184":[],"184519":[23,24],"184895":[],"185":[],"1851":[],"1852":[],"18526":[],"185278747229417":[],"1853":[],"1854":[],"1855":[],"186":[],"1860":[],"1861":[],"18611111111111112":1,"18613217e":6,"18660":[],"18670072e":24,"18673098":11,"18682538":[],"18695705":18,"18780801":23,"18790439176058887":9,"188":6,"18826299":[],"188263":[],"1887":6,"18912963":[],"189367":23,"189496":[23,24],"189622":[23,24],"18998208":20,"18it":[],"19":[2,6,13,20],"19003":6,"19096968":[],"190970":[],"191262820314401":[],"19144544":18,"19158446":18,"19166666666666668":1,"191963":23,"19207979":5,"19213479":[],"19220":[],"193":[],"19354258":[],"19379506":[],"19394283":[],"194":[],"1940":[0,24],"19404282648955e":[],"194042826653172e":[],"194042826815498e":[],"1940428268204826e":6,"194042827197027e":6,"1943":12,"194325":[],"19432526":[],"1944":[],"19444444444444445":[],"19466812":[],"1950915150":[],"1954":[],"1956":[],"19569961":[6,24],"1961":[],"1962":[],"1963":[],"1964":[],"1965":[],"1970":[18,23],"197104":[],"19710439":[],"1973":9,"197370":[11,24],"19740":[],"197738983259782":11,"1979":6,"19800":[],"19853775e":[],"1989":[],"199":[],"19937":[],"19983530":6,"19994371":[],"1_1":12,"1_2":12,"1_3":12,"1cm":[0,8,10,20,23],"1d":[1,2,3],"1e":[1,2,4,13,14],"1e10":14,"1e4":6,"1f":1,"1k":18,"1n":[0,23],"1s":[],"1x":[0,23],"2":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,19,20,22],"20":[0,1,2,6,7,8,13,20,21,23,24],"200":[0,2,3,4,8,9,10],"2000":[0,24],"200000":[],"20015436":6,"20038136":24,"2004":13,"2006":22,"2008":23,"2010":1,"2011":1,"2014":4,"2015":1,"2016":[0,23],"20174121":[],"2018":[0,6,24],"2018906331":[],"2019":[],"2021":[6,14,24],"2022":23,"2023":[15,16,23],"20255857":23,"2027":[],"20277777777777778":1,"20299677":18,"203":[],"20316225":18,"20320502":[],"20375361":[],"203753611274545":[],"20500":[],"20509391":[],"205231":23,"206":[],"2060":[],"20609082":[],"206091":[],"20661216":[],"206640":[],"20664007":[],"2069":[],"207545":[11,24],"20756638":[],"207888":23,"20833333333333334":1,"20867052175003364":6,"20867052175006306":[],"20867052175109335":[],"20916295":24,"209789":23,"20980":[],"20999563":23,"21":[0,1,2,5,6,7,9,12,13,15,18,23,24],"210151":[],"2101511":[],"210340":[11,24],"21058097":5,"21130":[],"2116753732":4,"21169159e":6,"21265216":[],"213":[],"213103":[11,24],"213743":[11,24],"21472683":[],"2147483647":[],"21519063":[],"21596432":6,"216290":[11,24],"21654926":18,"216683":[11,24],"21786964":[],"2188":[],"21919813":[],"219249":[],"21924917":[],"21927988":23,"21944444444444444":[],"2195":[],"21985165":[],"21997099":[],"22":[0,1,2,5,6,12,13,18,23,24],"22014758":11,"220148":11,"22044605e":[5,24],"220506557673408":[],"22094791":[],"220968":23,"221":8,"221180":[23,24],"22134069":[],"2216":[],"2218":[],"221805":2,"221921":5,"222400":[23,24],"2225":[],"2246674023625205":18,"225":4,"22567203":18,"2259440937":[],"226124657522696":[],"22612466":[],"226856":[],"22685646":[],"22690428":5,"22821344":18,"2284246870217162":6,"2284246870217459":[],"22842468702288576":[],"22842468702288582":[],"22847924":5,"22929905e":[],"2299":[],"22it":[],"23":[0,1,2,3,4,6,7,12,13,14,18,23],"23002365e":6,"23014274e":[],"23056012":23,"231":[],"23103285":[],"231224729143838":[],"2315033":[],"23167717":5,"23168292":[],"231683":[],"2321528":[],"232153":[],"232435":[23,24],"23297056":[],"23333333333333334":1,"233528":[],"2338675":24,"233868":24,"234":6,"23408962e":5,"23483916":20,"23522201":[],"2357089093":[],"2360682191515046":[],"2361111111111111":[],"2364":[],"23659936":18,"237038":[],"23703839":[],"23732849":23,"2379":6,"23792491":[],"237925":[],"23816792":[],"238168":[],"238574":[],"23857423":[],"23962594":18,"2397":[],"23971032":24,"24":[0,1,2,3,4,6,13,14,18,23],"240670854503034":11,"24140":[],"24159785":24,"2416":[],"24175744e":6,"2419":[],"24276315":[],"2430":[],"24390":[],"24444444444444444":1,"244858":[],"24485843":[],"24512498":[],"24533566":23,"246":2,"24611674":23,"2470":[],"2476536":[],"247654":[],"24770094":[],"24784064":5,"24829908":5,"24906604e":6,"24924624":[],"249302":11,"2493023":11,"2495":[],"25":[2,3,4,5,6,7,8,9,11,13,15,20,23,24],"250":[2,4,7,9],"2500":[],"25000":[0,24],"250000":[],"250154":[],"250636":23,"25115233":23,"25116851":23,"2517560119":[],"251879":[23,24],"252436":[23,24],"25259666":[],"2526":[],"252866":[],"25286618":[],"25366775":5,"253668":5,"253775":[],"25385387":5,"253854":5,"255":3,"255001":[23,24],"25522012":23,"256":[2,4],"25617654e":6,"25617657e":[],"25617658e":6,"256962":[],"257":[],"2572":[],"2572495066":[],"2572e3a4b38d":[],"2575":[],"25792767":[],"25845e8df859":[],"25881631":13,"25902112":18,"259153":[11,24],"2597":[],"25976336":[],"26":[2,3,4,6,13,14,18,20],"26079358":[],"26115367":11,"261154":11,"26153846153846":[],"26185107":18,"26186844":[],"2619":24,"26290036":[],"26291585":[],"262916":[],"26294938":[],"2629493813057833":[],"26297455":24,"26301436":5,"26306244":[],"264":[],"26409315307910025":6,"2640931530791003":[],"26409315307910036":6,"2640931530791005":[],"26409315307910053":[],"264421":23,"264666":11,"26466619":11,"265":[],"2650":[],"265109911":4,"26531223e":[],"2654":[],"26549135":18,"266":[],"26610075":[],"26666667":13,"26710969":5,"26780278":5,"268":[],"268227":[],"26822717":[],"268484":[],"26848435":[],"269":[],"26995402":24,"27":[0,1,2,3,4,6,13,14,24],"270":[],"2703":[],"27050214":20,"27091656":[],"270917":[],"27092897":[],"27092910":6,"2750":[],"27525917":23,"275341":[],"27562809e":[],"27621662e":[],"276263":[11,24],"27660123":13,"27692307692308":[],"27700":[],"2772":[],"2775623201":[],"27760":[],"278036":[],"27803645":[],"27924636":5,"27n_":20,"28":[1,2,3,4,6,13,14,16,24],"28001319":[],"280179":23,"28047021":[],"280573":5,"280647":[11,24],"28065343":20,"28067036":[],"28097861":[],"280979":[],"28102554":23,"2812":[],"281930":23,"28205578e":24,"282259":23,"282727":[11,24],"283":[],"2830637392":4,"2831603":[],"28336218e":6,"2836":[],"28390":[],"28391978":24,"28475098":8,"28590743":[],"2861":20,"28634473":[],"286345":[],"2871":[],"2873":9,"2882":20,"2886":20,"2886847885377843":[],"28868479":[],"28875373":[],"2890":[0,23],"2892":20,"28967287":[],"29":[3,4,6,7,14],"29082851":[],"290829":[],"29083183":[],"290832":[],"29149329":[],"2915":20,"29167186":5,"29229741":[],"2923076923077":[],"29276615":18,"2931":23,"294277":[],"2942772":[],"29512284":[],"295123":[],"2954":[],"2955":[],"2956":[],"2957":[],"2958":[],"29588901":[],"29592539":[],"296247":[],"296414":23,"29661191":18,"29672381":23,"2968":23,"297":[],"2971492148":[],"2972":[],"2980":23,"29822833":6,"298273":[],"298375":[],"298836":[],"29883607":[],"2990":23,"299267190588216":[],"299748":[23,24],"2_":12,"2_1":12,"2_2":12,"2_3":12,"2_i":12,"2_m":[6,20],"2_t":13,"2_x":20,"2b":20,"2cm":8,"2d":[1,3,11,12,17,23],"2e":6,"2f":[0,7,9,10,11,12,23,24],"2ff97f4bf03b":[],"2g":2,"2g_i":2,"2k":3,"2m":6,"2n":[0,2,3,23,24],"2nd":9,"2p":20,"2pm":[21,23],"2pt":4,"2s":[],"2x":[0,3,8,13,23],"2x_ix_jy_iy_j":8,"2x_j":8,"2y_i":10,"2y_j":8,"3":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,19,20,21],"30":[0,1,3,4,6,7,10,13,14,21,23,24],"30000":[0,23],"30010":[],"30119421":8,"301475":[],"3014751":[],"3017":[],"3018":[],"3019":[],"301927":[],"3020":[],"3021":[],"30258509":[18,23],"302m":[],"303":6,"3037":[],"3038":[],"30384239":[],"3039":[],"303m":[],"3040":[],"3041":[],"30442964":24,"30466214e":6,"304m":[],"305":[0,23],"30535506":[],"30552077":[],"30559547":[],"305m":[],"306":[0,23],"3063":[],"306m":[],"307":[0,23],"30702075":23,"3072":3,"30761405e":[],"30787294":6,"3079975":20,"307m":[],"308":[0,23],"30813073":18,"30839676":20,"30891693":[],"308917":[],"308m":[],"309":[0,23],"30936179":[],"309362":[],"30940":[],"30b53504a633":[],"31":[3,4,6,12,14,18,20],"310":[0,23],"310579":24,"3105791":24,"311":[0,23],"31120247":[],"311m":[],"312":[],"3120271598582915":[],"31211671":18,"31228042":[],"31229747":18,"3123314713548606":6,"31276579e":6,"312m":[],"313":[],"31311243":18,"31318084":5,"31377492":18,"314":[],"31424359":[],"314244":[],"31447174":[],"31457796":5,"315":6,"3155":[0,5,6],"315746":[],"31574634":[],"315977":[],"31597731":[],"316":[],"31605061":[],"31614188e":[],"31644071":[],"31650694":6,"31681097":11,"316811":11,"317":[],"31718909":11,"317367":11,"31768693":23,"317m":[],"31835835":20,"31866499":[],"31896852":8,"319803":[],"31980301":[],"319m":[],"31it":[],"32":[3,4,6,12,13,14,18,20],"3200":1,"32039227e":[],"32047562":[],"32066545e":5,"32068012":20,"3208":2,"320m":[],"32149601703519115":6,"3214960170351912":6,"3215":[],"32179365":[],"32183101":23,"32190363":23,"32309075":[],"32320052":[],"324":2,"32450054":24,"32458459":[],"32459186":[],"324m":[],"3250":[1,6],"32512":[],"326238":[23,24],"3263505":18,"326m":[],"32714903e":5,"32721178":[],"327212":[],"32750531e":[],"32766274":23,"32816737":[],"32903042":[],"329492":23,"3297":[],"32992274":[],"329923":[],"32it":[],"33":[3,4,12,14,18,21],"3303":[],"33066907e":[5,24],"33078983":23,"3310":[],"33166055e":[],"331939":[23,24],"331m":[],"332331":[],"333":7,"3331":[],"33327369":[],"333274":[],"33333333":13,"3337":[],"33611111111111114":[],"336801":[],"33680101":[],"33711888":[],"3384":[],"33900713":[],"33956555":18,"33m":[],"34":18,"340071371496255":24,"3403":[],"34040204e":[],"340583":23,"340782":[11,24],"34114547":5,"34158665":[],"341m":[],"342680":[23,24],"34305928":[],"3436":[0,23],"3437":[0,23],"34412923":24,"34498451":18,"3456":[],"345687771875474":18,"34568872":[],"34569596":5,"3457":[],"3458":[],"34585355":[],"3459":[],"3460":[],"34678929":18,"346810":[],"3469819128513336":[],"34740615":[],"3498":[],"34it":[],"35":[0,2,3,4,6,14,21,23],"35030572":20,"35074881":[],"350749":[],"35123041":23,"3514":[],"35140":[],"35147135":[],"35147532":23,"351636":[11,24],"35182854":5,"35203688":[],"35207264":[],"352073":[],"3522":[],"3525":[],"3528556":[],"352856":[],"3529":[],"3530606977":[],"35319678":18,"35346808":18,"3538":[],"35396404e":[],"35401056e":[],"3543":[],"3544313922":6,"3546":[],"35470445e":[5,24],"3548":[],"355":[],"3551":[],"35533773":6,"35533774":[],"3556":[],"35562617e":[],"3558":[],"355906":[],"35590603":[],"3560":[],"356399":[23,24],"3567":[],"3572":[],"35724288e":[],"3575":[],"357508":[23,24],"3576":[],"3577":[],"35771826":6,"35771842":[],"35793003441520066":20,"3581341341":4,"35821426":18,"3585":[],"3587":[],"35892474":[],"35894575":18,"359":5,"3593":[],"3594821":[],"3595":[],"3598":[],"359999999999985":[],"36":[0,2,5,6,20],"360":1,"3604":[],"3605":[],"3606":[],"360688":[],"3609":[],"36102113":[],"36117602":[],"3613":[],"3615":[],"361556":[23,24],"3617":[],"3621311":5,"3624":[],"3627":[],"3628":[],"363295916323784e":6,"363295916414895e":[],"3632959170548605e":[],"3632959215700067e":6,"363295924430451e":[],"363834":[],"36383443":[],"363936":[],"36393643":[],"3643":[],"3644017":[],"364402":[],"364418e97433":[],"3645":[],"3646":[],"3647":[],"365350":[],"36535019":[],"3655":[],"3655222":5,"3659":[],"3665263":20,"3668":[],"36689784":[],"366898":[],"3669":[],"367":2,"3672":[],"3673":[],"3674":[],"3679":[],"3684":[],"3687":[],"3688":[],"368m":[],"369139":[11,24],"36it":[],"37":[2,3,4,6,14,23],"3704":[],"370782966":4,"3711":[],"3713":[],"37157712":23,"3718":[],"3721":[],"3722":[],"37239927e":24,"3725":[],"3729":[],"37307168":[],"3739":[],"37396662":6,"37415316":[],"374291":[],"37429133":[],"3748":[],"3749":[],"3753":[],"375694":23,"3759":[],"3760":[],"3765":[],"376547":23,"376559":[],"37655936":[],"376834":[],"37683438":[],"37692363":[],"37703055":[],"37713991":[],"3772":[],"3773":[],"37732":[],"377372":24,"37737221":24,"3776":[],"3777801602":6,"3779":[],"37835429e":[],"3784":[],"378664":[],"37866422":[],"37900111":6,"3791":[],"379203":[],"3794":[],"379647":[],"37964744":[],"37992857":[],"37it":[],"38":[2,3,4,14,20],"380":[],"38019139":18,"3802":[],"3803":[],"3804":[],"3805":[],"380739":[],"38073947":[],"3811":[],"38135733e":6,"3815":[],"381627865854956":[],"38162787":[],"38168549":20,"3817475779":6,"3818":[],"3819":[],"3820":[],"382187":23,"38222896":[],"3823886":[],"382389":[],"38246359":[],"382672":[],"38267217":[],"3827":[],"382951":[],"38295101":[],"38299798":23,"3830":[],"38302314":20,"3833":[],"38336316":[],"3834":[],"3837":[],"3838":[],"3839":[],"3842":[],"3850":[],"3851":[],"38533184":[],"38533185":6,"3854":[],"3858":[],"386":[],"38605872":[],"386059":[],"3861":[],"3862":[],"386294":11,"38629412":11,"38629436":[18,23],"38629844":18,"38637915":18,"3864":[],"3867":[],"3869":[],"387":[],"3871":[],"3872":[],"387482":[],"38748219":[],"3876":[],"388":[],"3881":[],"3882":[],"3885":[],"38868469":[],"3888":[],"3889":[],"389":[],"38901478":[],"38906684":[],"389067":[],"3891":[],"38916861e":6,"38962192e":6,"3898":[],"39":[0,2,3,4,14,21,23],"390":[],"3906":[],"39095416":[],"3914":[],"3915":[],"3916":[],"391602":[],"3917":[],"39197698":24,"391977":24,"39214397":24,"392144":24,"3922":[],"3925515884752442":[],"39272691":[],"3928":[],"3931":[],"39311435":[],"39384255":5,"393843":5,"3943":[],"3944":[],"39456996":[],"39493843":0,"3950":[],"3955":[],"39560937":[],"39579407":5,"3958":[],"39595799":23,"3960":[],"3962":[],"3970":[],"39706038":5,"39724390e":[],"3975":[],"397700":[11,24],"39789527":[18,23],"3979":[],"39794864e":[],"3980313467":6,"3983":[],"39864527":23,"39924562":[],"399246":[],"39931051e":24,"3994":[],"3996":[],"399836":[23,24],"39it":[],"3bdkrb":[],"3d":[2,3,4,6,13],"3f":[1,3,9],"3n":18,"3x":[2,8],"3x_i":2,"3y":8,"3yk470mj5p931p9dtkk0y6jw0000gn":[1,6,13,23],"4":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23],"40":[1,6,21,23],"400":4,"4000":23,"4005":[],"4011":[],"40116777":[],"401168":[],"4012":[],"4017":[],"4017308":23,"40183706":18,"401842":[11,24],"40214433":[],"4022":[],"40236901e":[],"4027":[],"4030":[],"40340043":[],"4034668048":[],"4038":[],"40389922":23,"4039":[],"404":24,"4045":[],"4048":[],"4050":[22,23],"4055":[],"405890":[11,24],"4059":[],"40599799":[],"40620066":24,"406201":24,"4068":[],"4069":[],"4075":[],"40754621":[],"4077":[],"408":[],"4082":6,"40829683":[],"408297":[],"4084":[],"4087":[],"4087793":5,"4088":[],"4089":[],"409":[],"40927184e":6,"40980089":5,"409801":5,"40a38ad763f1":[],"41":[2,18],"410":[],"4100":[],"4107":[],"410815":[],"41081513":[],"411":[],"4115":[],"4117":[],"41170104":[],"412":[],"41211579":[],"412116":[],"4128":[],"4131":[],"41351287":[],"413513":[],"41357064":[],"4143":[],"41433969":5,"4144":[],"41446721":20,"4146":[],"41511965e":1,"415201":23,"41542567":20,"4155":[2,15],"415534701258823":[],"41566661":18,"4162706317":6,"4167":[],"4176":[],"4177":[],"418506":[11,24],"4186":[],"41876267":[],"418763":[],"41882036e":[],"41882037e":6,"4192423635":[],"41958102e":[],"4198":[],"41990268":[],"41it":[],"42":[1,3,4,8,9,10,14,18],"420":[],"42028578":18,"42037468e":[],"42078103":[],"421":[],"4212":[],"42130182":13,"422":[],"422275":18,"4224":[],"422480":[],"4224801":[],"423":[],"42340403e":[],"42394972":[],"424":[],"42441033":5,"42449643":[],"42450":[],"425":[],"4255":[],"4258989918":[],"426":[6,7],"42615374e":[],"42631342":[],"427017":[],"42732954":20,"4275":[],"4284066":18,"43":[0,1,3,4,7,14,18],"4304167":23,"43054282":5,"4310":23,"43135183":[],"43294696e":[],"43330971e":6,"43333886":18,"43482628":20,"434932":[],"43493232":[],"435163":[23,24],"43552433":[],"435567":11,"43556723":11,"43560678":18,"43579948e":6,"43639284e":24,"436462435":4,"43761347":[],"43766686":11,"4379":[],"438060758":6,"438136":[23,24],"43876695":[],"438767":[],"439230":6,"4399427":[],"439943":[],"44":[0,1,3,4,14,18],"44089210e":[5,24],"4410":[],"4411":[],"441264":23,"44152248":18,"44198566":13,"442600":[11,24],"442701":[],"44270138":[],"443217":[23,24],"444":[],"44624525e":24,"446453":23,"44688507e":[],"44830642":18,"44970586e":1,"44997121":24,"44it":[],"45":[3,4,14,21,23],"450":[],"450257":[11,24],"4504":[],"452553":23,"45290829":[],"45393214e":[],"454027":[],"45402701":[],"4543859":[],"4557763":11,"455947":[23,24],"456":[],"456418966187335":[],"457":2,"45741697":18,"457770268480242":[],"458027":[23,24],"458078":[11,24],"45915671e":24,"45960079":5,"45985488":[],"459855":[],"46":[3,4,14,21,23],"4601":[],"461":[],"461175":[],"462":7,"46284227":20,"46383925e":6,"463861":23,"464424":[],"4644244":[],"46508305":[],"46567887":[],"466":[],"46602982":[],"46650488":5,"466505":5,"46696223":[],"4676059":24,"467606":24,"469":[],"46932688":[],"4694":[],"46984697e":6,"469868":[],"46986815":[],"47":[3,4,14,21,23],"4703":[],"47042744":5,"470714":[23,24],"47075725":6,"47116868e":6,"47125748":5,"47132891":5,"47245463":[],"472455":[],"47387858":[],"47400238":[],"47432993":[],"4744":[],"4744219":[],"47478057":[],"47482507":20,"47485224":[],"475311":[],"47531107":[],"47610036":6,"47815203":11,"47920156":[],"47942814":[],"479465113":4,"48":[3,4,14],"480":23,"48089797":[],"48133064":[],"481979":6,"48212873":[],"48257387":[21,23],"48316523e":[],"483257001":13,"4837":[],"48420165":[],"48442336":23,"48476997":11,"48574149":[],"486873":[],"48687342":[],"48739546":18,"48871288":5,"488713":5,"489":[],"489522":[],"48952201":[],"48971452":20,"48994188":5,"48it":[],"49":[3,4,5,6,11,14,24],"490":[],"491":[],"49152":3,"492":[],"49242688":23,"49282737":18,"493":[],"49385454e":[],"4940954":[0,23],"4959161509356135e":[],"495916150936645e":6,"495916150936654e":[],"4959161509377256e":6,"495916150938325e":[],"49614357":[],"496337":[],"49633743":[],"49636583":[],"49672291":18,"49680475019226":23,"497":[],"498":[],"499":[],"4990":20,"499012":[],"49901244":[],"4992":20,"49932427e":5,"4997":20,"49974854":23,"49992743e":[],"4b5d3mupqma":[],"4c4c7f":[9,10],"4d":3,"4f":6,"4pm":[21,23],"4y":8,"4y_i":10,"5":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,23,24],"50":[1,2,3,4,6,7,8,10,13,14,23,24],"500":[1,3,4,6,9,10,13],"500000":[],"50000455":5,"50000553":5,"50000718":5,"50000855":5,"50000969":5,"50001063":5,"50001142":5,"50001207":5,"50001261":5,"50001306":5,"50001343":5,"50001374":5,"500014":5,"50001414":5,"50001422":5,"50001439":5,"50001454":5,"50001466":5,"50001476":5,"50001485":5,"50001492":5,"50001498":5,"50001502":5,"50001506":5,"5000151":5,"50001512":5,"50001515":5,"50001517":5,"50001518":5,"50001519":5,"50001521":5,"50001522":5,"50001523":5,"50001524":5,"50001525":5,"501":[],"501049":[],"50104946":[],"50105159":[],"5018":20,"50219982":23,"50227564e":6,"5031474174499113":[],"50314742":[],"50321091":5,"504167":[],"50416731":[],"504881":11,"50488131":11,"506":[0,24],"506553":24,"50655336":24,"50680321e":[],"50727059":[],"50754416":20,"50769230769231":[],"50799086":23,"507d50":[9,10],"50812169":23,"50846111e":[],"50846112e":6,"50it":6,"50j":13,"50x10":1,"51":[3,4,10,14],"510":1,"51004249":[],"51075117":23,"51126895e":[],"51131471":[],"511315":[],"51150176":18,"51174395":18,"511888":5,"51191552":6,"511977":[],"51197747":[],"512132":[],"51214899":[],"51265232":[],"51289697":[],"512897":[],"5138":[],"51389553":[],"514219":[23,24],"51561271":[],"51664729":20,"51732028":18,"517350858882083":[],"5177783846":4,"517823":[],"51782322":[],"518030":[],"51803019":[],"5188328":[],"518833":[],"518895":23,"519842":[],"52":[3,4,14],"520931":[],"52093124":[],"5216048821598704":[],"521719":[],"52171908":[],"5222222222222223":1,"522758":[],"522836":23,"52307692307693":[],"52362157e":24,"5260627":[],"526744":[11,24],"52713812":11,"52723079":[],"52773051":[],"52799362":[],"528115":[],"52811546":[],"52819229":23,"52874252":5,"529":[],"52911941":[],"52945798e":[],"53":[3,4,9,14],"5303329":11,"5305555555555556":1,"5312":[],"531280":[23,24],"53189647":[],"53219937":23,"53254035":23,"53312754":[],"533941":11,"53394148":11,"53423784":[],"534362":23,"53479276":[],"534793":[],"53603432":[],"53611562":[],"53623614":23,"53697476":[],"53703498":6,"5378811":11,"53794784":[],"537948":[],"53815559":[],"53822787":23,"53846153846155":[],"539261":[11,24],"53938383":5,"539384":5,"53952479":[],"539525":[],"54":[6,20],"540":[],"54016188":[],"540162":[],"54039921":5,"54041041e":[],"541605":[23,24],"54163136":[],"543939":24,"54393936":24,"544439":[23,24],"54537329":20,"546166676":[],"546712":[],"54671213":[],"5472246386316972":20,"54722464":20,"54780216":[],"54845458":[],"548455":[],"54886137":[],"54894095":23,"54969168":23,"54it":[],"55":1,"5501":[],"55026099":[],"550321":[],"55202922":18,"552731":11,"55273102":11,"5539":[],"55505907":[],"555187":[],"55518724":[],"555496":[],"5554964":[],"55553537":[],"5555555555555556":1,"55571665":[],"55578041":[],"5566":[],"557795":[11,24],"558080":[],"55808001":[],"558241":[],"55824107":[],"55854694":11,"5594":6,"56":1,"56033697":5,"561":[],"5611":[],"5615":[],"56183518":20,"56198284":5,"5625":[],"56302854":[],"563167":23,"56343926":23,"5639":[],"564":[],"564374":[11,24],"56437897":[],"564379":[],"565":[],"565006":[],"56500639":[],"56536":[0,23],"56556315":18,"565651":[],"56565106":[],"566":[],"566074":11,"56607416":11,"56636616e":6,"567":[],"568":[],"56848886":23,"569":1,"56912044e":6,"56939714":5,"56992937":[],"57":[0,8,21,23],"570":[],"5700":[],"571":5,"571092":5,"57109235":5,"571105947979336e":[],"571105947979352e":6,"571105947979394e":6,"571105947979395e":[],"571105947979439e":[],"57154252":[],"57174058":[],"57201944e":6,"572069":23,"57266138":[],"57361898":[],"574465":[11,24],"576431":11,"57643113":11,"57673618":[],"57810065":18,"57842073e":[],"578889":[],"57888946":[],"57it":[],"58":[10,21,23],"58084359":11,"58112299":5,"581123":5,"58171189":20,"58187347":18,"58312967":23,"583595":[23,24],"58395707":[],"58428804":[],"58474054":18,"584804":[],"58492636e":24,"58671946":18,"5888888888888889":1,"589":[],"58986647":[],"59":2,"590":[],"591":[],"591317992":4,"591594":[],"59159438":[],"59182949":[],"59190877":18,"592":[],"593":[],"593040":[],"59304008":[],"59323905":23,"59367954":23,"5944444444444444":1,"59445979":5,"594460":5,"59468796":23,"59591979":[],"595920":[],"59592669":[],"59616454":[],"596165":[],"59654302":23,"59766":[],"597660":[],"59833875":[],"598392":[],"59839245":[],"59955801":[],"5cm":20,"5dd54edf2138":[],"5f":8,"5x":8,"5y":8,"6":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,21,23,24],"60":[1,2,3,6],"60000":4,"60133562":23,"60176806":23,"6019067271":4,"60236938":[],"60293962":5,"603494":[],"60349429":[],"603636":23,"60420593":5,"6052136":20,"60538875":[],"60543038":24,"60619654":[],"6063219":[],"606439":[],"60673226":11,"606760":5,"60685864":[],"60791699":[],"6079169911277265":[],"608028":[],"60802823":[],"60815105":6,"6084611325305795":18,"60943791":[18,23],"60980325":18,"60it":6,"61":[2,7],"61033524":[],"6111111111111112":1,"61123608":18,"612939":[23,24],"613579":[23,24],"61399851":[],"613999":[],"61406871":[],"614133":[],"61413333":[],"61463451":[],"614808":[11,24],"6149274949460215":[],"61576236e":[],"61634314":23,"61702282":6,"617572":[],"61757228":[],"618":[],"61808351":[],"618982":[23,24],"6199381169260247":[],"62":[],"621102":23,"62168613":[],"62170669":[],"621707":[],"62249103":18,"62364974":[],"62373464":11,"62432074":23,"625":7,"62620724":18,"626635268":6,"62683307":18,"62767384":[],"62894215":5,"62896882":[],"629961":[],"63":[0,1,6,7,24],"6300745149331701":24,"630224":[],"63025821e":6,"63162342":24,"63207808":[],"63249532e":6,"63270833":[],"63367582":[],"633676":[],"633949":23,"63395187":[],"63430285":[],"63498144":5,"63675140":[],"637129335071195":24,"6371293350711955":[],"637545":[],"63754524":[],"63860687":[],"63862189":[],"63901111":[],"63it":[],"64":[1,2,3,4,7,13,18,23],"64012627":5,"64064128":18,"64113381e":[],"64141716e":[],"642380":[],"64238022":[],"64293754":[],"6431453":[],"64425009":[],"645":[],"64528459":11,"645285":11,"64615384615385":[],"646283":[11,24],"647":6,"64742912e":6,"647473":[11,24],"6489862":18,"649339":[],"64933923":[],"649382":[11,24],"64x50":1,"65":[1,2,7,8,9],"65136857":[],"65280103":23,"6530742540053943":[],"6536392":24,"65442354":24,"654424":24,"65444431":18,"65522261":[],"65571174e":24,"65578316":20,"65599456":24,"6562":[],"65626043":[],"65628853":[],"657041":23,"65743689":24,"65833132":24,"65885453":5,"65891389":24,"658914":24,"659306":[],"65it":6,"66":2,"66054752":[],"66064822":24,"66080313":24,"66087937":[],"66111673":13,"66204648":6,"66219404":6,"66226149":[],"66247212":[],"662854":[],"66285434":[],"6628996975186953":24,"66292841":[],"66294408":24,"66295776":[],"662958":[],"66310422":[],"6638":[],"66410989":[],"6652177":24,"66560":[],"66614025":23,"66619972":[],"666200":[],"66620847":20,"66638078":23,"666597":23,"6669838269597004":[],"667":[],"667239":23,"668172":[23,24],"668186":[],"66818635":[],"66934291":[],"66981186":18,"66it":[],"67":2,"67047975e":6,"67054028":23,"671089":[],"67258699":18,"672721":[23,24],"67314874e":[],"67588315":[],"67591616":[],"67697934":[],"67838309":[],"67882608":[],"67970864":[],"679709":[],"68":2,"68029036":23,"6808538439837775":[],"68176047e":[],"68192193":5,"68246089":[],"682464":5,"68246434":5,"68279358":[],"68286725":24,"6834195":[],"68485505":18,"68534263e":6,"68542204":5,"68545647e":[],"6869":[],"68719389":[],"687194":[],"6887363571":4,"689230294669661":[],"68929213e":6,"689345":23,"68944595":[],"689519":[11,24],"68965135":[],"69":[2,7,20],"690":[],"69023787":[],"690569639355314":[],"69061276":[],"690617":[23,24],"69069n_":20,"69115646":18,"692":1,"69295955":[],"6943316601792833":20,"69481746":18,"69484813e":[],"69493539":[],"69504801":6,"6960326":[],"69634577e":6,"69695259":5,"6984511994530214":[],"69908626":6,"69985355":[],"6999536":11,"69it":[],"6e75736fdab1":[],"6f7a6bd7d79f":[],"6m":[],"6n_":20,"6pm":23,"7":[0,1,2,3,4,5,6,7,8,9,11,12,13,14,15,18,19,20,22,23,24],"70":[1,2,6,7],"70037324e":24,"70127680":[],"701370":5,"70179437":[],"70205195":[],"70354373":[],"703716d317a7":[],"70434005":[],"7050":[],"70598996":[],"70653767":4,"70710678":[5,24],"70721787":[],"707218":[],"70727837":23,"70769586":[],"70831425":[],"70832814":5,"7086067479626619":24,"709698":23,"70980493":[],"70it":6,"71":[1,2],"71131626":[],"71142161":24,"711422":24,"7119":[],"712018":[11,24],"713163":23,"7134":[],"713487":[],"71348713":[],"71350226":[],"71441535":13,"7151":[],"71721168":[],"71737253":24,"71760245":18,"71761101":24,"718165":5,"71822416":5,"718697":[],"71869727":[],"72":2,"72057967":23,"72101205":23,"72174172":11,"722047011333792":[],"72228205":23,"72261919":0,"72271878e":6,"72347283":[],"7236674":5,"72373129":[],"72394787":18,"724":3,"72509099":18,"72522848":[],"72594302":18,"72671218":20,"72859758":5,"7293182":[],"72981762":8,"73":6,"73005463":20,"7306310662842432":11,"731000":[23,24],"73174557":[],"73287103e":[],"733096":[23,24],"73406033e":[],"73484667":[],"735738558766299":[],"73573856":[],"73752910":[],"7386068":18,"73it":[],"74":6,"740":[],"74081822":8,"741264":[],"74126425":[],"742975":[],"74297504":[],"74368436":[],"74384949":24,"743u":[],"7448615806559786":[],"74607851":24,"7469898175164704":[],"74829661":24,"74840212":5,"7484669886413582":[],"749765":[23,24],"75":[2,5,6,8,11,23,24],"7501749450963715":[],"750445":[23,24],"75050135":24,"750u":[],"75106135":[],"75118364":[],"751275":5,"75127504":5,"751699":[11,24],"75170092":5,"75269037":24,"75350216":18,"75361646":20,"753846153846155":[],"7546383166870465":[],"75517445":[],"75576555":24,"756232":[],"75623206":[],"756352":[23,24],"75703965":[],"757040":[],"75770568":24,"758193":[],"75819326":[],"75838233":[],"75it":[],"76":[2,21,23],"76060096":[],"76063234":20,"76066069":[],"763u":[],"7643536":[],"765":7,"76529528":[],"76674796":[],"76731400e":[],"76802186":[],"768813":[],"76881337":[],"76923076923077":[],"76936315":5,"7694444444444445":1,"77":[2,21,23],"77034458":[],"770345":[],"7705527590466072":11,"77085375":20,"77152076":5,"7718":9,"773329728649545":[],"77332973":[],"77333117e":[],"774300":[],"77494715":23,"775":[],"77559332":20,"77618224":[],"77627886":[],"77632220e":[],"77636e":13,"77662945":[],"7767978193240488":[],"77711437":[],"77714169":8,"77754132e":[],"7782028952":4,"77865169":[],"77954956e":5,"78":2,"78009660e":24,"78011544":[],"78156479e":[],"78184120e":6,"78286771":18,"7843182645426894":[],"7846153846154":[],"785061":23,"7851533175757255":5,"78596961":13,"78674758":23,"787349":[],"7873493":[],"78752269":[],"78941903":5,"78988962e":[],"79":2,"79009329":[],"790818":5,"79081838":5,"79093776":[],"79111643":5,"791123":[],"79135075":18,"79145214e":[],"7923086060375724":20,"79230861":20,"793167":[23,24],"79394867":[],"7939646":[],"794282":[11,24],"79441434":13,"79449156":[],"79512696":13,"79552752":23,"79602861":[],"79754246":[],"797e":6,"79856831e":[],"798761":[],"79876149":[],"7bsq":[],"7c394b1e8b71":[],"7d7d58":[9,10],"7f2b3a6174c2":[],"7jexgh5soo":[],"7m":[],"7odqolophta":[],"8":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],"80":[0,1,2,5,6,8,24],"800":[4,7],"800615":[],"80162359":[],"802796":[],"80279641":[],"80280228":23,"80315282":[],"803153":[],"80354994":6,"803804":[],"80380438":[],"80469739":5,"8049181":18,"8055555555555556":1,"80561191":[],"80609615e":6,"80609616e":6,"8064":[],"80661365":[],"806614":[],"80728853":20,"80734875":[],"807349":[],"80738685":[],"8074242":23,"80747253":[],"80842254":[],"808423":[],"80847477e":6,"80994952":13,"81":[1,2],"81048318e":6,"8108619":[],"81160425":5,"81187794":[],"81333804":6,"81333805":[],"81388724e":[],"814":[7,11],"815563":[],"81592628":18,"815am":[21,23],"81633628":11,"816454":[23,24],"81671821":[],"81681019":23,"816847":[23,24],"8175":[],"81912272":23,"8192798":18,"81955926":23,"81974332":[],"82":2,"82073684":18,"8219235992494145":[],"8219236":[],"82198978":5,"82358522":20,"823585220707946":20,"82454365":18,"82484316":23,"82650876":[],"826509":[],"8265786":5,"82747653":[],"827477":[],"82773778":[],"828190347382744":20,"82819035":20,"829648415811072":[],"82964842":[],"82997013e":5,"83":[2,23],"8305555555555556":1,"8338786":23,"834027":11,"83402742":11,"83512277":5,"836874":[],"83687444":[],"83698677":[],"83757843":13,"839818":23,"83982725":23,"83999999999999":[],"83it":6,"84":2,"84062065":[],"84203538":[],"84228957e":[],"84232163":[],"842436":[23,24],"84292394":[],"842u":[],"84310736":20,"84355903e":1,"84443254e":1,"84569271":[],"84614066":24,"84653115":18,"84780262":6,"84854738":[],"848618":5,"84861838":5,"84886051":[],"848861":[],"84923989e":6,"84924834":[],"84942942":23,"84977962":11,"84994524":5,"85":[1,2],"850164":5,"8503720991789538":[],"85065653":20,"85086629":18,"85091337":[],"85120833":18,"85263220":6,"8527777777777777":[],"85278920e":[],"853241":[],"85324115":[],"853835":23,"853u":[],"8548082":18,"8557822":18,"85601992":5,"85694362":23,"85758696":[],"858":[],"858185":23,"8583333333333333":1,"85843684":23,"85953586":[],"85959007":[],"86":2,"8608479":[],"860848":[],"861":[],"86117291":5,"86134827":5,"86145244":11,"861676":23,"86171505":[],"86252988":6,"86361743":23,"8638888888888889":1,"86425056":[],"864251":[],"86478158":[],"86546962":[],"86550074":20,"86623151":[],"86630":[],"8666666666666667":1,"86810":[],"86879198":[],"868792":[],"86893619":[],"869":[0,23],"86905621":[],"86925797":[],"869258":[],"87":24,"870":[0,23],"8702784034":4,"8705211":18,"87072815e":24,"871":[0,23],"87191952":[],"871920":[],"872":[],"8722222222222222":1,"87243817":20,"873":[0,23],"87327414":[],"87381451":5,"874":[0,23],"874951":[],"87495119":[],"875":1,"8759":13,"876":6,"87625493":[],"87647541":[],"876664":[],"87666423":[],"87667593906086":20,"87667594":20,"8768":[],"878123":23,"878297":[],"87836018":[],"87849647":23,"8792323":18,"879271":[],"87927126":[],"87927601":23,"87940752":[],"87it":[],"88":[2,13],"88001352":18,"88017651":[],"880177":[],"88031314":[],"88046261":5,"8805555555555555":1,"88063413":18,"88118231":[],"88137798":11,"88168312e":6,"881788":[],"88182591":24,"8826033":20,"883":[],"88323026":24,"88336879":5,"884":[],"884669":24,"88477619":[],"885":[],"88512489":[],"88529063e":6,"8855417382991412":[],"88554174":[],"88560514":20,"88595926":23,"886":[],"88613493":24,"8866190885623907":20,"88661909":20,"88679947":[],"887":[],"887366":[],"88736621":[],"88746795":20,"8879":[],"88871662":[],"8888888888888888":1,"889080":[],"88908038":[],"8894":[],"889686":[],"89":2,"89045167":18,"89126914e":24,"8916666666666667":[],"89274639":[],"89288636":11,"89298533":[],"89335182":[],"893352":[],"893489":[],"89348922":[],"89410423":5,"8944444444444445":1,"89545727":13,"89550839":[],"89565264":[],"89582298":20,"8962476":[],"896248":[],"89873772":[],"89876748":[],"8991514":[],"89944994":[],"899450":[],"8f":6,"8g":6,"8n":18,"8x8":1,"9":[0,1,2,3,4,5,6,7,8,9,11,12,13,14,18,19,20,21,23,24],"90":[1,2,6],"900449":[],"9005135872087155":[],"90054363":[],"90066122":18,"9007164":18,"90075537":5,"9011":6,"90220243":5,"90266948":5,"90268858":[],"9027777777777778":1,"9033":[],"903824":[],"90382431":[],"904":[],"9040":9,"90475506e":6,"90540529":[],"9055555555555556":1,"90559087":[],"905591":[],"90595152":18,"906747":5,"90694878":18,"9083333333333333":[],"90884627":[],"90895045":[],"90940378":[],"90999452e":[],"91":[0,21,23],"910":[],"9111111111111111":1,"91124889":20,"91128596":5,"912u":[],"913":[],"91379157":[],"913791573406831":[],"91383439":[],"91396388":[],"914":[],"91416375":[],"91479093":[],"91492986e":6,"915":[],"91511388":[],"91549644":[],"916":[],"91616374":[],"916164":[],"9166666666666666":[],"91682433":[],"917":[],"91760278":5,"918":[],"91812702":5,"918992":[23,24],"919":[],"9196398947631166":23,"91it":6,"92":[6,21,23],"92087142":20,"9212905":[],"921291":[],"92143477":[],"921435":[],"92208477":[],"922085":[],"92272314":[],"922u":[],"92343595":[],"923602":23,"92373266":23,"924018":[],"92461411":[],"92477093":[],"924e":6,"925":1,"92507116e":1,"9252772":[],"92578916":5,"92603747":[],"92626212":[],"92631966":11,"926320":11,"926583":[],"92658312":[],"92754397":[],"927544":[],"9277777777777778":1,"92811987":[],"92817032":[],"92819235":[],"92857143":7,"92888885":23,"92921648":20,"92968793":18,"92it":[],"93":[],"93037171":[],"930372":[],"9305555555555556":1,"930583":[],"930683":[],"931":[0,23],"93155188":5,"93158979":5,"93188452":[],"931885":[],"93248252":[],"932483":[],"932u":[],"933":5,"93325497":23,"93414191":[],"93492130e":6,"93579127":[],"93586895":11,"935u":[],"93601008e":24,"9361111111111111":[],"936762":[],"93676229":[],"936856":[],"93685631":[],"937":20,"937082":[23,24],"93799826":5,"938":20,"9387":[],"939":[0,20,23],"94":[7,20],"9400":[],"94054854":[],"940549":[],"940776":[],"94077605":[],"94107596":[],"941866404575299":[],"94212937":[],"94226022e":6,"9424":6,"94273542":24,"94284104":5,"94320205":5,"94321297":18,"9444444444444444":1,"945":[],"94548496":[],"94591015":[18,23],"946":[],"94639099":11,"946393":[],"94659383":[],"946957":5,"947":[],"9472222222222222":1,"94735055":[],"947903":[],"94790323":[],"948":[],"94822514":6,"9482527":5,"948641":[],"949":[],"94905663":20,"94915262":[],"94986593":11,"95":[1,7,11],"95008046":6,"95054046":23,"95079764":[],"95231424":5,"952387":24,"9524":6,"9527777777777777":1,"95284275":5,"95302":11,"953065564":1,"95351665":5,"9538239":23,"954":20,"95446837":[],"9549351910143222":[],"954988":[],"954u":[],"95511792":24,"955118":24,"9555555555555556":1,"95569422":[],"955820c21e8b":4,"956563":[11,24],"95684892":5,"95703":13,"95714723":[],"957147232685324":[],"957421":[],"95742107":[],"958228616652075":[],"9582286166520774":5,"958476":[],"95994091":23,"95it":[],"96":[6,7,11],"960":20,"9601304850018328e":[],"960130485007504e":6,"960130485007934e":[],"9601304850213484e":[],"96013048502692e":6,"96024953":5,"96032148":[],"96084663":5,"961":20,"962":20,"9626883":18,"962990":23,"9635449873404844":[],"9637117593816477":6,"96390357":[],"9640435":5,"964268":[],"96426825":[],"964735":[],"96473528":[],"96489434":[],"9649652536":4,"96527903":[],"96551427e":[],"965548":[23,24],"96601782":[],"96606158":[],"96620033":[],"96631321":24,"96653373":[],"96670977":[],"96686324e":[],"96688672":5,"966899":23,"9674916":5,"967536":11,"9675364":11,"96769675":24,"9678":[],"967809":[11,24],"96812218":18,"96863851":[],"96987657":[],"96992454":[],"96it":6,"97":7,"97005689":5,"970057":[],"970477":5,"97047717":5,"97065296":[],"97108e":13,"97117751":[],"97202":[],"9722222222222222":1,"97230501":[],"97243128":5,"97300836":5,"97434186":18,"97477238":23,"97497404e":6,"975":1,"97507735":5,"97547354":[],"97547354476579":[],"975510299261579":[],"9760832":[],"97705827":5,"977418":[],"97758848":5,"9777777777777777":1,"977880":[],"97788031":[],"9780387310732":22,"9780387848570":22,"9781492032632":22,"97840468":23,"978553":5,"97898392":[6,24],"97906022e":24,"97926491":5,"97it":6,"98":[0,1,7],"980":[],"98017611":[],"98036405":[],"9805555555555555":1,"98091621":5,"981321":[23,24],"98139097":5,"98153145":18,"98248312":5,"98249059":[],"982491":[],"98266587":[],"98275501":5,"982758":[],"98275836":[],"98316352":11,"983164":11,"983310":[23,24],"98346748":[],"9835443722554817":[],"98399675":[],"98413059":5,"984525":5,"98454786":5,"98467494":[],"985":20,"98566191":5,"986":20,"9861111111111112":1,"986699":5,"98680716":5,"98699753":18,"98716878":5,"98740124":20,"98756882":[],"98794823":[],"9879924":[],"98808176":5,"98822371":6,"9888888888888889":1,"989":20,"9890348":5,"9893149172528393":[],"9893447":5,"98947894":24,"9898254753574576":[],"98982548":[],"9898ff":[9,10],"99":[6,7,11,13],"990":[],"99009525":5,"9902552771282336":[],"99049330":[],"99051150":6,"99088801":5,"991":20,"99115119":5,"99157584":[],"99176998":5,"992":20,"9920099299023244":24,"99242921":5,"99265097":5,"99274513":[],"993":20,"99316252":5,"99353454":[],"993535":[],"993537":[],"99353748":[],"99371056":5,"99374388":23,"993865":[],"99389612":5,"993972":[],"99397245":[],"9940672992288855":20,"9943201":5,"99435648":[],"9947756":5,"99492986":5,"99498108":[],"99519225":[],"9952495547161103":24,"99528218":5,"99539415":5,"9955282554647219":[],"9956582":23,"99566069":5,"99578809":5,"99594988":[],"995950":[],"996":5,"99608161":5,"9963961":5,"99650061":5,"996694948530336":24,"9967458":5,"99700706":5,"99709215":5,"99724883":[],"99729756":5,"99751458":5,"99758326":5,"99775587":5,"99775949":[],"99793613":5,"99799099":5,"99813653":5,"99820454":23,"99828624":5,"99829953":[],"9983295":5,"99845267":5,"99854557":24,"998577":5,"99861053":5,"99862019":24,"99869482":24,"99871521":5,"99876945":24,"99881845":5,"99883628":24,"99884384":5,"99884409":24,"99891093":24,"99891873":24,"99893323":5,"99898558":24,"999":[9,20],"99901896":5,"99903755":5,"99906023":24,"99911427":5,"99912709":24,"99913489":24,"99918546":5,"99919837":5,"99920175":24,"99926459":5,"99927642":24,"9993237":5,"99933188":5,"9993511":24,"99938942":5,"99941797":24,"9994385":5,"99944272":5,"99949266":24,"99949306":5,"99953381":5,"99953475":5,"99956735":24,"99957911":5,"99961294":5,"99965056":5,"99967865":5,"99970894":24,"99970988":5,"9997332":5,"99975913":5,"99977416":[],"99977849":5,"99978365":24,"99980002":5,"9998161":5,"99984732":5,"99987324":5,"99989476":5,"99991263":5,"99992698":11,"999927":11,"99992746":5,"99993978":5,"99995":5,"9999555851685968":[],"999955585168597":6,"9999840939906267":[],"9999858320366368":[],"9qcu8vcxxru":[],"9x":6,"9y":6,"\u00f8yvind":[6,24],"abstract":1,"boolean":4,"break":[0,4,6,11,14,23],"byte":[18,23],"case":[0,1,2,3,4,5,6,7,11,12,13,14,16,17,18,23],"catch":[0,23],"char":[],"class":[0,1,3,4,6,7,8,9,11,12,13,20,23],"const":[],"default":[0,1,2,4,6,7,13,16,18,23,24],"do":[0,2,3,4,5,6,8,9,10,11,12,13,14,15,16,18,24],"ekstr\u00f8m":4,"eng\u00f8i":[],"export":9,"f\u00f8470":[21,23],"final":[0,1,2,3,4,5,6,7,8,9,10,11,13,14,16,19,20,21,23],"float":[0,3,4,5,9,11,13,14,18,23,24],"function":[2,3,4,5,9,14,15,16,17,18],"import":[0,1,2,3,4,6,7,8,9,10,11,12,13,14,16,20],"int":[0,1,2,3,4,5,6,11,13,14,18,20,24],"long":[0,1,3,4,12,13,23],"m\u00f8svatn":6,"new":[0,1,2,3,5,6,7,8,9,10,11,13,14,18,23,24],"null":23,"public":[0,3,4,14,17,23],"return":[0,1,2,3,4,5,6,7,8,9,11,13,14,18,20,23,24],"s\u00f8rli":[],"s\u00f8rlie":[],"sch\u00f8yen":[6,24],"short":[4,5],"steinsv\u00e5g":[],"super":[5,24],"switch":0,"throw":[3,6,20],"true":[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15,16,18,20,23,24],"try":[0,1,2,4,5,6,7,8,9,10,11,13,14,15,16,17,18,20,23,24],"var":[1,5,6,10,11,13,20,23,24],"while":[0,1,3,4,5,6,7,8,9,11,12,13,20,23,24],A:[2,3,5,6,7,10,11,12,13,16,17,18,19,20,21,22,24],AND:2,And:[0,3,4,5,6,9,13,17,20],As:[0,1,2,3,4,5,6,8,10,12,13,16,18,20,23,24],At:[0,4,6,13,23],BE:[0,23],Be:[2,17,23],Being:13,But:[0,1,2,3,5,6,9,10,20,24],By:[0,3,5,6,12,13,18,23,24],For:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,22,23,24],IF:6,IN:22,If:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,16,17,18,20,23,24],In:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,22,23,24],Is:11,Ising:[5,12,24],It:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,20,23,24],Its:[1,2,4,11],NO:[7,11],No:[3,4,6,8,9,14,23],Not:[0,1,5,6,23,24],OR:20,Of:20,On:[0,3,15,19,20,21,22,23],One:[0,1,3,4,5,6,7,8,11,12,13,20,24],Or:[0,1,6,23],Such:[0,6,12,16,20],That:[0,5,7,10,11,12,14,20,23],The:[4,10,13,14,15,16,18,19,20,21,22],Then:[0,1,6,8,9,10,11,12,13,14,18,23,24],There:[0,3,4,5,6,8,9,11,12,14,18,19,20,21,23,24],These:[0,3,4,5,8,9,10,11,12,13,14,15,16,18,20,21,23,24],To:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,18,20],With:[0,5,6,8,9,10,11,12,14,18,20,23,24],_0:[5,8,10,11,13,24],_1:[2,5,6,8,10,11,12,13,14,18,24],_2:[2,5,8,11,12,13,18,24],_3:18,_4:18,_9:13,_:[0,1,2,4,5,6,7,8,9,10,11,12,13,18,23,24],_________________________________________________________________:[],__call__:[],__class__:10,__doc__:6,__future__:[8,9],__getitem__:[],__init__:[1,3,4,14],__main__:2,__mosek:[],__name__:[2,10],__traceback__:[],_api:[3,4,14],_asarrai:[],_auto10:[6,12],_auto11:6,_auto12:6,_auto1:[2,3,4,5,6,7,12,13,18,20,24],_auto2:[2,3,4,5,6,12,13,18,20],_auto3:[3,4,5,6,12,13,18],_auto4:[4,6,12,13,18],_auto5:[4,6,12,13,18],_auto6:[4,6,12,18],_auto7:[4,6,12,18],_auto8:[6,12],_auto9:[6,12],_ax:[],_base:8,_build:[0,17,22,23],_build_call_output:[],_c:1,_call:[],_call_flat:[],_check_1d:[],_check_optimize_result:[7,11],_compon:11,_config_pb2:[3,4,14],_coordinate_desc:6,_copy_docstring_and_deprec:[],_cpgg0jyh8m:[],_decor:[0,23],_depth:9,_fraction:9,_get_lin:[],_getitem_multilevel:[],_handl:[],_i:[0,1,2,5,6,7,8,11,12,13,15,16,23,24],_inference_funct:[],_interpolatefunctionerror:[],_is_primit:[],_j:[0,1,2,3,5,6,8,13,24],_jit_compil:[],_k:13,_l:12,_lambda:[6,23],_leaf:9,_logist:[7,11],_m:10,_make_vjp:[2,13],_maybe_define_funct:[],_multilayer_perceptron:1,_n:[2,5,8,11,13,24],_node:[2,9,13],_notokstatusexcept:[],_np:[],_num_output:[],_p:[5,8,24],_plot_arg:[],_process_traceback_fram:[],_r:[],_ratio:11,_sampl:9,_select_forward_and_backward_funct:[],_split:[6,9],_src:[],_stateful_fn:[],_stateless_fn:[],_sy:[3,4,14],_t:13,_test:6,_trace:[2,13],_valu:[2,13],_varianc:11,_weight:9,a0:3,a0faa0:[9,10],a1:[0,23],a2:[0,23],a3:[0,23],a4:[0,23],a_0:[0,23],a_1a:[0,23],a_2a:[0,23],a_3:[0,23],a_3a:[0,23],a_4:[0,23],a_4a:[0,23],a_:[0,1,16,18,23,24],a_h:1,a_i:[0,1,2,12,23],a_j:[1,12],a_k:[0,1,12],a_ndim:[],aaron:22,ab:[0,2,5,13,14,23,24],ab_channel:17,abandon:1,abbrevi:19,abid:20,abil:[0,10,23],abl:[0,1,4,5,6,7,10,12,13,16,24],abort:[],about:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,17,18,21],abov:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,22,23,24],abovement:6,abscissa:13,absolut:[0,2,5,6,13,23,24],acceler:13,accept:[0,3,6,9,23,24],access:[0,3,11,20,24],accid:[4,6],accmod:[],accompani:[0,23,24],accomplish:[8,9,13],accord:[0,1,2,5,6,9,12,13,14,15,16,20,23],accordingli:11,account:[0,3,5,13,15,20,23],accumul:[12,13,20],accur:[0,3,4,6,10,13],accuraci:[0,1,3,4,5,6,7,9,10,11,12,23,24],accuracy_scor:[0,1,10,23],accuracy_score_numpi:1,achiev:[0,1,5,6,8,12,18,23],aco:20,acquaint:[17,23],acquir:[1,17,23],acr:[0,24],across:[1,3,6,9,17,23],act:[1,3,18],action:20,activ:[0,2,3,4,9,19,21,23],actual:[0,1,4,5,6,8,11,16,18,20,23,24],ad:[1,3,4,5,8,13,15,16,18],ada_clf:10,adaboostclassifi:10,adadelta:13,adagrad:[],adam:[1,3,4,21,23],adapt:[4,6,13,22,24],add:[0,1,2,3,4,5,6,8,10,11,12,15,16,20,23,24],add_lin:[],add_outgrad:2,add_subplot:[1,7,12,14],addendum:5,addit:[0,2,3,5,6,7,8,9,10,12,13,15,17,18,20,21,22,23,24],addition:[12,13],address:[1,9,11,13,23],adjac:[3,12],adjoint:[5,24],adjust:[0,5,12,13],admir:[0,23],advanc:[4,6,12,22,23],advantag:[1,3,5,6,10,13,18],adversari:23,afecionado:23,affect:3,affin:[0,3,8,11,24],afford:3,aficionado:23,aforement:14,african:[0,24],after:[0,1,2,4,5,6,9,11,12,13,15,17,18,20,23,24],afterward:[0,23],ag:[0,7,19,23,24],ag_0:2,again:[0,1,4,5,6,7,8,10,11,12,13,15,16,20,23,24],against:[1,4,7,10],agegroup:7,agegroupmean:7,aggreg:[9,10],agorithm:10,agre:[5,6,20],agreement:13,ahead:9,ai:[0,22],aid:11,aim:[0,1,4,6,7,11,14,15,16,17,18,24],ainv:5,airplan:3,aka:5,al:[0,2,4,15,16,22,23,24],alarm:[5,7],algebra:[0,3,5,13,17,24],algo:[],algorithm:[0,1,2,4,5,6,7,8,13,14,17,18,20,22,23],align:[0,2,5,6,7,8,13,20,23,24],all:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,15,17,18,19,20,21,22,23,24],allevi:[1,13],alloc:[3,18],allow:[0,1,2,3,5,6,8,10,13,15,16,17,18,23,24],almost:[0,1,6,8,11,13,20,23],alon:[2,9],along:[2,3,4,5,6,9,10,11,17,18,23,24],alpha:[0,1,2,3,4,6,7,8,9,10,13,14,20,23,24],alpha_0:3,alpha_1:3,alpha_2:3,alpha_:10,alpha_i:[3,13],alpha_k:13,alpha_m:10,alpha_n:3,alpha_opt:13,alreadi:[2,3,4,5,6,10,12,17,18,20,23,24],also:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,23,24],alter:1,altern:[0,1,4,5,6,7,8,9,11,13,18,23,24],although:[0,1,5,6,8,10,13,16,23],alwai:[0,3,5,6,12,13,16,20,23,24],am:[4,24],ame2016:[0,23],american:[0,24],among:[0,3,5,9,10,12,18,23,24],amongst:5,amount:[0,1,3,4,6,8,10,14,17],an:[1,2,3,5,6,7,8,9,11,12,13,14,15,16,17,18,20,21,22,24],an_:20,anaconda3:[],anaconda:[0,1,15,17,23],analog:13,analys:6,analysi:[1,3,4,7,14,15,16,18,22],analyt:[2,3,5,6,7,12,13,15,17,23,24],analyz:[0,1,3,4,5,6,14,16,20,23,24],andrew:1,angl:[0,3,9,24],anharmon:3,ani:[0,1,2,3,4,5,6,7,8,9,10,12,14,20,23,24],anim:[4,12],ann:12,annot:[0,1,3,7,8,23,24],announc:23,anoth:[0,1,3,4,5,6,7,8,10,11,12,13,18,20,23,24],anp:2,ans_vspac:2,ansatz:[0,23],answer:[0,1,3,5,6,18,21,23],antialias:[2,6],anticip:4,anymor:[1,8],anyon:[4,8],anyth:[1,20],anytim:[21,23],apach:1,apart:[11,13],api:[1,3,4,14,17,23],appar:2,appear:[0,1,3,13,16,18,20,23],append:[1,3,4,8,9,13,23],appendcon:[],appendvar:[],appli:[0,1,2,3,4,6,7,8,9,10,11,12,13,15,16,20,22,23,24],applic:[0,1,3,4,5,6,7,9,12,13,18,20,22,23,24],apply_gradi:4,approach:[1,2,4,5,6,9,10,11,12,13,17,20,22,24],appropri:[2,6,9,12,13,17,20],approv:23,approx:[0,2,3,6,10,11,13,20,23],approxim:[0,1,2,3,4,5,6,7,10,11,13,20,23,24],apt:[0,15,17,23],aq:20,ar:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],aragorn:23,arang:[1,3,4,6,7,9,10,12,13,23],arbitrari:[1,4,6,8,12,13,20],arbitrarili:[0,1,11,23],arc:6,architectur:[3,4,12],area:[0,3,6,22,23],arg:[0,2,13,23],argc:[],argmax:[1,11],argmin:[4,10,14],argnum:[2,13],argnum_0:2,argnum_1:2,argsort:11,argu:[1,13],argument:[0,2,3,5,6,11,12,13,23,24],argv:[],argval:2,aris:[0,6,12,13,20,23],arithmet:[0,13,18,23],arm:6,arma:[],armadillo:18,around:[0,1,4,5,6,11,20,23],arr:2,arrai:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,17,20,24],arrang:[3,23],arraybox:13,arriv:[0,6,9,11,18,20,23],arrow:12,arrowprop:8,art3d:13,art:[0,1,15,17,23],articl:[0,3,4,6,10,23,24],artifici:[0,2,7,12,22,23],artificialneuron:12,arug:13,arxiv:[3,4],as_fram:24,asap:23,asarrai:[0,2,6,9,24],asc:[],ascii:[],ashrafi:[],asid:24,ask:[5,6,11,12],aspect:[0,6,17,23,24],assembl:[0,3,23],assert:4,assess:[0,6,23,24],assici:4,assign:[0,7,8,9,12,13,14,19,21,22,23,24],associ:[0,6,9,12,14,20,23],assum:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],assumpt:[0,3,5,6,9,11,20,23,24],ast:[0,5,6,23],astronomi:[23,24],astyp:[4,9,10],asymmetri:[0,23],asymptot:[4,6],async_wait:[],atla:23,atoi:[],atom:[0,23],attempt:[0,4,6,7,8,10,23],attend:19,attent:[0,18,23],attr:[],attract:[0,10,23],attribut:[0,9,13,23],attributeerror:13,audi:[0,23],audio:[3,4],august:[15,16,23],aurelien:[0,15,19,22,23],austfjel:6,author:[0,1,3,4,10,14,20,23],authour:23,auto:[6,9,10,20],autocor:20,autocorrelation_tim:20,autocorrelform:20,autocovari:20,autoencod:[4,17,23],autoencond:17,autograd:[17,23],autograph:[3,4,14],autom:[0,17,22,23],automac:18,automag:23,automat:[0,1,2,3,4,11,16,17,18,23],automobil:3,autonom:4,avail:[0,1,4,6,10,11,15,17,18,19,21,22,23],averag:[0,1,3,6,9,10,13,14,20,21,23,24],avg:[],avoid:[0,4,5,6,9,11,13,18,23,24],avx2:[],avx:[],awai:[2,3,6,24],awar:[2,10],award:[21,23],ax:[0,1,2,3,4,6,7,8,9,10,11,12,13,14,18,23,24],axes3d:[2,6,13],axes_grid1:6,axessubplot:24,axhlin:8,axi:[0,1,2,3,4,6,7,8,9,10,11,12,13,14,18,20,23,24],axiom:5,axlabel:[0,23],axvlin:[4,8],axvspan:4,b1:8,b2:8,b3:8,b:[0,1,3,4,5,6,8,9,10,12,13,14,15,16,20,21,23,24],b_0:0,b_1:[0,2,12,13],b_2:[0,13],b_5:13,b_:[0,1,18],b_group:9,b_i:[0,1,2,12,23],b_ia_:[0,23],b_ia_i:0,b_index:9,b_is_vec:[],b_j:[1,12],b_k:[0,1,12,13],b_m:12,b_meta:[],b_score:9,b_valu:9,bachelor:[19,21],back:[0,3,4,5,6,8,9,10,15,18,20,23,24],backbon:18,backend:[1,4],background:[22,23,24],backpropag:1,backtrack:9,backup:18,backward:[1,2,4,12,18],backward_pass:2,bad:[6,24],badli:20,bag:[9,17,23],bag_clf:10,baggin:23,baggingboot:10,baggingclassifi:10,baggingtre:10,balanc:6,band:18,bandwidth:18,bar:[0,6,11,15,16,23],barber:22,bare:[4,10],base:[0,1,3,4,5,7,8,9,10,14,17,20,21,22,23,24],basi:[5,7,8,10,11,12,13,18,24],basic:[2,6,8,12,13,14,17,20,23],batch:[3,4,11,12,13],batch_shap:4,batch_siz:[1,3,4],batchnorm:4,bay:7,bayesian:[5,17,22,23],bbupeevmxtg:[],bc298b802fe2:[],beam:23,becattini:21,becaus:[0,1,2,3,4,5,6,8,9,12,13,14,23],beccatini:23,becom:[0,1,2,5,6,7,9,12,13,20,23,24],been:[0,1,2,3,4,5,6,11,12,13,17,18,23,24],befor:[0,1,2,3,4,5,6,7,8,12,13,14,18,20,23,24],beforehand:[0,20,23],begin:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,18,20,21,23,24],behav:[1,6,13],behavior:[0,1,13,23],behaviour:12,behind:[0,1,6,8,13,23],behnoosh:[],being:[0,1,2,3,4,5,7,8,10,11,12,13,20,23,24],believ:[9,18],belong:[7,8,9,13,14],below:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,18,20,23,24],benchmark:10,bendik:[],benefici:[1,13],benefit:[0,1,4,11,13,15,17,23],bengio:[1,19,22,23,24],benign:[1,7],bennosh:[],besid:[4,5],bessel:[5,24],best:[0,1,2,3,4,5,6,7,8,9,10,12,13,21,23,24],beta:[0,1,3,5,6,7,10,11,13,16,23,24],beta_0:[0,1,3,5,6,7,13,23,24],beta_0x_:[0,23,24],beta_1:[0,1,3,5,6,7,10,13,23,24],beta_1x_0:[0,23],beta_1x_1:[0,7,23],beta_1x_2:[0,23],beta_1x_:[0,23,24],beta_1x_i:[7,13,24],beta_2:[0,3,13,23,24],beta_2x_0:[0,23],beta_2x_1:[0,23],beta_2x_2:[0,7,23],beta_2x_:[0,23,24],beta_2x_i:24,beta_3:3,beta_3x_i:24,beta_4x_i:24,beta_:[0,3,6,7,13,23,24],beta_i:[0,3,5,23,24],beta_j:[0,5,6,13,23,24],beta_k:13,beta_linreg:13,beta_m:10,beta_mg_m:10,beta_n:3,beta_p:7,beta_px_p:7,betavalu:5,better:[0,1,2,3,4,6,9,10,11,12,13,23,24],between:[0,1,2,3,4,5,6,7,8,9,11,12,13,14,20,23,24],beyond:[0,1,5,6,8,13,23,24],bf:[13,14,18,20],bgd:13,bia:[0,1,2,3,5,8,9,10,12,13,23,24],bias:[1,2,3,5,6,9,12],big:[0,1,2,5,6,14,23],bigger:[1,6,24],bigr:12,bike:9,bilbo:23,bilek:[],billion:[3,12,17],bin:[0,7,20,24],binari:[0,3,5,7,9,10,12,23],binarycrossentropi:4,bind:[0,24],binomi:[17,20,23],binsboot:6,bioinformat:[0,23],biolog:[1,12],bios1100:[17,23],bird:[0,3,23],birth:23,bishop:[19,22,23],bit:[1,4,18,20,23],bitwis:[3,4,14,20],bivari:2,bk:[0,13,24],bla:[18,23],black:[8,9,14],bledso:23,blob:23,block:[6,10,17,18,20,23],blockingavg:[],blockingstd:[],blockingvar:[],blocksiz:[],blocksizemax:[],blocksizemin:[],blogpost:4,blue:[0,3],bluntli:23,bmatrix:[0,1,3,5,7,8,11,13,18,23,24],bmi:1,bodi:[0,1,4,12,23],bold:1,boldfac:[0,5,16,24],boldsymbol:[0,1,2,3,5,6,7,8,10,11,13,14,15,16,23],boltzmann:[12,17,23],book1:22,book:[22,23],boost:[1,9,17,23],boostrap:10,bootavg:[],bootstd:[],bootstrap:[1,13,17,23],bootvar:[],bootvec:[],borrow:23,boston_dataset:[0,24],bot:8,both:[0,1,4,5,6,8,9,10,13,14,15,16,17,18,20,21,23,24],bottl:7,bound:[0,8,12,24],boundari:[2,4,8,11,12],boundkei:[],box:[2,4,9],boxed_arg:2,boyd:[8,13],bracket:[4,20],brain:[1,7,12],branch:9,breast:[5,7,11],breviti:13,brew:[0,15,17,23],brg:8,brief:24,briefli:[0,23],bring:[0,5,6,10,23,24],broad:[0,23],brought:[13,17,23],brownle:4,browser:23,brunton:[],brute:[3,5,11,24],bs:[8,9,10],buffer_s:4,bui:4,build:[0,4,5,6,10,18,20,23],built:[0,1,3,4,6,24],bunch:11,busi:[0,24],bx:[],bzl:[],c1:[8,11],c2:[8,11],c95af3df0cdd:[],c:[0,1,2,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,22,24],c_0:20,c_1:12,c_2:12,c_3:12,c_4:12,c_:[0,8,9,10,13,20,24],c_i:[12,13],c_k:20,ca:[1,23],cabc613b8702:[],cach:10,cal:[0,8,10,12,13,15,16,23],calcul:[0,1,2,4,5,6,8,9,10,11,12,13,14,15,16,18,20,23],california:24,call:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,23,24],callabl:[],callback:[],calor:[0,24],cambridg:[13,22],can:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,22,24],cancel:[0,13,23,24],cancellation_manag:[],cancer:[5,10],cancerpd:7,candid:[8,9,10],cannot:[0,1,4,5,6,7,8,9,19,20,23,24],canopi:[0,15,17,23],canva:23,cap:5,capabl:[0,1,8,13,17,23],capac:[2,21],capita:[0,24],captur:[4,11,12],captured_input:[],car:[3,4],card:[0,7,23],cardin:1,care:11,carefulli:13,carlo:[0,6,17,20,22,23],carri:[2,6,7],cart:10,carvalho:[],casella:22,cast:1,cat:[3,4],categor:[0,1,3,9,11,23],categori:[0,1,3,7,10,12,14,23,24],categorical_crossentropi:[1,3],caus:[0,5,6,20,23,24],causal:0,causat:[0,23],cax:1,cb:[6,23],cbar:1,cbook:[],cc:[0,1,5,13,23,24],ccc:[5,12],cd_fast:6,cdf:20,cdot:[0,2,6,12,13,14,18,20,23],celebr:13,cell:[0,2,3,4,6,8,9,10,13,14,15,23],center:[0,1,6,7,8,9,11,14,20,23],centr:[],central:[0,3,5,6,8,16,18,23,24],centroid:[14,20],centroid_differ:14,centuri:3,certain:[0,3,6,7,9,20,23,24],cg:13,cha:[0,24],chain:[0,1,13,17,20,23],chanc:[1,5,13,20],chang:[0,1,2,3,4,5,6,8,9,11,12,13,14,18,20,23,24],channel:3,chapter3:0,chapter:[0,6,10,11,18,22,23,24],charact:[0,3,5,23,24],character:[8,9,10,12,20],characterist:[0,1,3,10,13,23],charg:[0,23],charl:[0,24],chase:4,chat:23,chd:7,chddata:7,cheap:[5,24],cheaper:[1,13],check:[0,1,3,4,5,6,11,13,18,23,24],checkmark:3,checkpoint:4,checkpoint_dir:4,checkpoint_prefix:4,chemic:[],chen:10,chiaramont:2,choic:[0,1,2,3,4,6,9,12,13,14,18,23,24],choleski:[5,18,24],choos:[2,3,6,9,10,11,13,14],chosen:[0,1,2,6,8,9,10,13,16,20,23],chosen_datapoint:1,christian:22,christoph:[19,22,23],cifar10:3,cifar:3,cin:[],circ:[1,12],circl:[0,8,12,24],circuit:3,circumfer:9,circumv:[1,5,13,24],ckpt:4,clariti:20,class_nam:[3,9],class_val:9,class_valu:9,class_weight:[],classic:[7,9,13],classif:[0,3,5,6,7,8,11,12,17,22,23,24],classifi:[0,1,4,7,9,10,11,23],classificaton:1,classifii:10,clean:1,clear:[1,5,10,12,13],clearli:[0,3,5,6,7,8,20,24],clever:[1,10],clf3:0,clf:[0,6,8,9,10,23,24],clf_lasso:6,clf_ridg:[6,23],clip:[3,20],clone:21,close:[0,1,2,4,6,8,9,11,12,13,14,20,22,23],closer:[3,5,13,24],closest:[8,11,13,14],closur:[17,23],cloud:[17,23],cluster:[0,1,4,6,11,17,23],cluster_label:14,cm:[1,2,3,6,8,13],cmap:[0,1,2,3,4,6,8,9,10,23],cmap_arg:6,cmath:[],cmb:19,cmd:9,cmu:24,cn_:20,cnn:12,cnn_kera:3,cntk:[17,23],co:[0,2,3,6,9,13,23],code:[3,4,6,7,8,15,16,17,18,20,22],coef0:8,coef:[0,23],coef_:[0,5,6,8,9,13,23,24],coeff:5,coeffici:[0,3,5,6,7,8,9,13,15,16,18,23,24],coerc:[0,6,23],coin:[10,20],coin_toss:10,col:[0,11,23,24],colab:[17,23],cold:9,colinear:[0,24],collaps:8,collect:[0,2,6,10,11,17,20,22,23],collinear:[5,24],color:[0,3,4,6,8,9,10,20],color_channel:3,color_cod:6,colorbar:[1,6],colsample_bytre:10,colsaobject:10,colspec:[0,23],column:[0,1,2,5,6,7,8,9,11,12,18,23,24],columntransform:9,com:[4,6,17,22,23],combin:[1,2,5,6,7,10,20],come:[0,1,3,4,5,12,13,14,15,23,24],command:[0,1,23],comment:[0,4,5,6,15,16,23,24],commerci:[0,15,17,23],commod:[0,23],common:[0,1,3,5,6,7,9,11,13,14,20,23,24],commonli:[0,1,4,6,7,9,13,14,24],commun:[0,12],commut:3,commutatitav:3,compact:[0,1,3,5,6,7,9,11,12,13,14,23,24],compair:0,compar:[0,3,4,5,6,11,13,15,16,18,23,24],comparison:[2,4,13],compat:[3,4,7,14],compet:[0,23],competit:10,compil:[0,1,3,4,13,15,17,18,23],complet:[0,2,3,4,9,12,23],completenn:12,complex:[1,5,8,9,11,12,13,15,16,23],complic:[0,1,9,13,23],compoment:24,compon:[0,1,3,4,5,6,7,9,14,16,17,23,24],components_:11,compos:[9,12,13,14,17,23],compphys:[0,6,17,19,21,22,23,24],compress:[0,23,24],compris:6,compromis:[5,24],compulsori:[17,23],comput:[0,1,2,3,4,5,6,7,8,10,11,12,13,15,16,17,18,19,20,22,23,24],computation:[0,3,6,9,13,20,23],computationalscienceuio:23,con:[],concat:23,concaten:[2,4,6,14],concav:[1,13,24],concentr:[0,10,24],concept:[0,2,17,23,24],conceptu:[12,13],concern:[0,1,4,7,23],concic:23,conclud:[0,5,13],conclus:1,cond:2,conda:[0,1,15,17,23],condis:24,condit:[0,2,4,5,6,8,9,11,13,20,23,24],conduct:[17,23],condwav:2,coneqp:[],confid:[0,5,6,7,8,23,24],config:[3,4,14],config_pb2:[3,4,14],configur:3,confirm:[5,12],confus:[5,6,7,10,18,24],confusion_matrix:9,congruenti:20,conjug:[4,8],conjugaci:13,conjunct:3,connect:[0,1,3,4,9,11,12,13,18,23,24],consequ:[5,6,8,10,12,13,24],conserv:[5,14,24],consid:[0,1,2,3,5,6,7,8,9,10,12,13,16,18,20,23,24],consider:[0,1,5,13,23,24],consist:[0,1,2,3,4,6,12,13,20,24],constant:[0,2,3,4,5,6,8,12,13,14,20,23,24],constitu:[0,23],constitut:[2,6],constrain:[1,3,5,7,11],constraint:[5,6,8,13,24],construct:[0,1,2,3,5,6,7,8,9,10,11,18,20,23,24],contact:[0,23],contain:[0,2,3,4,5,6,7,8,9,11,12,13,14,18,20,22,23,24],contemporari:23,content:[1,17,18,23],context:[6,10,13],contigu:18,continu:[0,1,2,3,4,5,6,7,8,9,10,12,13,18,20,23,24],contour:[9,10,13],contourf:[8,9,10],contrast:[1,4,9,10,12],contribut:[0,3,5,13,20,23,24],contributor:[0,23],control:[0,1,3,9,13,15,17,23],conv2d:[3,4],conv2dtranspos:4,conv:[3,4],convei:23,conveni:[0,5,6,12,13,18,23],convent:[12,24],converg:[1,2,4,5,6,7,8,11,13,14,24],convergencewarn:[1,6,7,8,11],convert:[0,1,3,4,5,9,11,13,14,18,23,24],convert_phas:[3,4,14],converter_error_data_pb2:[3,4,14],converttomatrix:4,convex:[4,5,7,24],convinc:13,convolut:[1,4,17,23],cool:[4,9],coolwarm:6,coordin:[5,12,14,24],coorel:[0,24],copi:[0,1,2,14,24],core:[2,3,4,10,13,14,23],corel:23,coronari:7,corr:[0,5,7,11,24],correalt:[11,17],correct:[0,1,2,3,4,5,7,13,18,20,23,24],correctli:[1,2,6,7,10],correl:[0,1,3,5,6,7,10,12,13,17,20,23],correlation_matrix:[0,5,7,11,24],correspond:[0,3,5,6,8,9,11,12,15,16,17,18,20,23,24],cortex:12,cosin:[3,6],cost:[0,2,3,5,6,7,8,9,12,13,16,23],cost_deep_grad:2,cost_funct:2,cost_function_deep:2,cost_function_deep_grad:2,cost_function_grad:2,cost_grad:2,cost_sum:2,costol:13,could:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,18,20,23,24],coulomb:[0,23],count:[0,9,19,20,21,23],countor:13,coupl:[4,5,6],cours:[0,1,3,5,11,19,21,24],courvil:[19,22,23,24],cout:[],cov:[5,6,11,18,20,23,24],cov_xi:[5,11,24],cov_xx:[5,11,24],cov_yi:[5,11,24],covari:[0,7,17,18,23],covariance_matrix:[5,11,14,24],cover:[0,5,17,21,22,24],covert:[0,23],covxi:20,covxx:20,covxz:20,covyi:20,covyz:20,covzz:20,cpj4mh7m9no:[],cpu:1,cpu_feature_guard:[],craft:3,crawford:23,creat:[1,2,3,4,5,6,9,10,11,12,13,17,23],create_biases_and_weight:1,create_convolutional_neural_network_kera:3,create_neural_network_kera:1,create_x:[5,11,24],credit:[0,7,21,23],crim:[0,24],crime:[0,24],criteria:[0,4,9,10,14,20,23],criterion:[9,10,13],critic:[6,23,24],cross:[0,1,3,7,9,10,13,17,20,23,24],cross_entropi:4,cross_val_scor:6,cross_valid:[7,10],crossvalid:6,crucial:[1,20],cs231:3,cs:[19,21],csr_matrix:[18,23],cstdlib:[],csv:[0,4,6,7,9,23],ctnk:1,ctx:[],cubic:0,cumbersom:5,cumsum:[10,11,23],cumul:[7,10,20],cumulative_heads_ratio:10,cup:5,current:[1,2,3,4,6,13,14,22],curs:[0,24],curv:[6,7,10,12],curvatur:13,custom:[6,14],custom_cmap2:[9,10],custom_cmap:[9,10],cutpoint:9,cv:[6,7,10],cvxbook:13,cvxopt:[5,8,24],cyber:[],cycl:[1,12],cyclotron:24,d1:[],d2:[],d2_g_t:2,d3:[],d670a873ab0c:[],d985fb40c43d:[],d:[1,2,3,4,5,6,7,8,9,10,11,13,14,18,20,21,23,24],d_f:13,d_g_t:2,d_net_out:2,da:3,dagger:[5,18,24],dai:[1,9,17],dalen:[],damp:3,daniel:[21,23],darget:9,darkr:20,dat:[0,23],dat_id:[0,6,7,9,23,24],data1:14,data2:14,data3:14,data4:14,data:[2,4,5,8,10,12,13,14,18,22],data_handl:[],data_id:[0,6,7,9,23,24],data_indic:1,data_modul:24,data_panda:23,data_path:[0,6,7,9,23,24],data_url:24,databas:1,databookuw:[],datafil:[0,6,7,9,23,24],datafram:[0,4,5,7,9,11,23,24],datapoint:[1,5,6,7,11,13,24],dataset:[0,4,6,7,8,9,10,11,13,14,15,16,23,24],datatyp:4,date:[15,16,23,24],daughter:10,david:22,dbh:1,dbo:1,dcomposit:18,ddot:2,dead:1,deadlin:[16,19],deal:[0,1,3,5,6,8,11,13,14,18,20,23,24],dealt:0,debt:7,debug:[0,5,6],decad:[0,3,23],decai:[0,13,20,23],decemb:[19,21,23],decent:10,decid:[0,2,3,5,6,9],decim:[0,23],decis:[0,1,8,11,17,22,23],decision_funct:8,decision_tre:9,decisiontreeclassifi:[9,10],decisiontreeregressor:[0,9,10],declar:[0,4,18,23],decompos:[5,6,18,24],decomposit:[0,6,12,23],decompost:[5,24],deconvolut:3,decor:[0,23],decorrel:[10,13],decreas:[1,2,4,5,6,10,11,13],deduc:[0,23],deep:[3,7,12,13,17,19,22,23,24],deep_neural_network:2,deep_param:2,deep_tree_clf1:9,deep_tree_clf2:9,deep_tree_clf:[9,10],deepen:[5,17,23],deeper:[0,3,4,23],deeplearningbook:22,deer:3,def:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,20,23,24],def_covari:20,def_funct:[],default_tim:4,defect:[5,24],defici:[5,24],defin:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,24],definit:[1,2,5,6,7,8,10,11,12,13,18,20,24],defint:20,defun:[],defvjp:2,degre:[3,5,6,8,9,10,11,15,16,20,23],del:1,delet:6,delimit:4,deliv:[19,23],delta:[0,2,3,6,8,12,13,14,23],delta_0:3,delta_1:3,delta_2:3,delta_3:3,delta_4:3,delta_5:3,delta_:[1,18],delta_h:[0,1,23],delta_j:[3,12],delta_k:12,delta_l:[1,3],delta_momentum:13,delta_n:[0,3,23],delug:17,delv:[0,23],demand:13,demonstr:[0,3,5,6,7,11,12,17,23,24],den:4,denomin:[1,5],denot:[1,2,6,7,13,20],dens:[1,3,4],dense_1:[],densiti:[0,2,6,20,23],depart:[21,23,24],depend:[0,1,2,4,5,6,7,8,11,12,13,15,17,18,20,23,24],depict:20,deploy:[0,15,17,23],deprec:[2,6,13,23,24],deprecate_nonkeyword_argu:[0,23],depth:[0,3,9,10,18],deriv:[0,1,2,6,7,8,10,11,13,16,17,23],derivati:13,derivative_fn:13,descend:[5,9,11,24],descent:[0,1,3,7,8,12,23,24],descr:24,describ:[0,2,4,5,6,8,10,11,12,13,18,23],descript:[0,8,9,23],design:[0,1,3,4,5,6,7,10,11,12,13,15,16,23],designmatrix:[0,23],desir:[0,2,4,5,13,14,23,24],despit:[1,12],destroi:18,det:[5,18,24],detail:[0,6,11,13,14,18,24],detect:[3,8,12],determin:[0,2,3,4,5,6,8,9,10,11,12,13,16,18,20,23,24],determinist:[7,13,20],dev:1,develop:[0,3,5,8,10,11,12,17,18,23,24],deviat:[0,1,2,4,5,6,20,23,24],device_nam:[],devis:12,df1:23,df:[4,8,11,13,23],di:[0,24],diag:[5,8,24],diagnost:[1,10],diagon:[0,5,7,13,18,20,23,24],diagonaliz:[5,24],diagram:10,diagsvd:6,dice:[6,20],dict:[6,8],dict_kei:24,dictionari:[0,24],did:[0,1,5,6,7,10,11,14,23],die:1,diff1:2,diff2:2,diff:2,diff_ag:2,diffeent:8,differ:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,15,17,18,20,22,23,24],differenti:[0,3,16,17,18,23,24],differential_oper:[2,13],difficult:[0,1,6,10,13,20,23],difficulti:[0,1,13,23],diffonedim:2,digit:[0,1,3,4,6,19,21,23],dilemma:13,dilut:1,dim:[4,11,14,18],dimens:[0,1,2,3,4,5,8,11,14,16,18,23,24],dimension:[0,4,5,6,9,11,13,14,17,18,23],dimensionless:[0,3,23],diment:18,dimnsion:4,diod:3,direct:[0,1,2,4,11,12,13,14,23,24],directli:[1,4,5,6,20,24],directori:[],disabl:[3,4,14],disadvantag:[0,23],disappear:[3,6],disc_loss:4,disc_tap:4,discard:[6,11],disciplin:[0,3,12,23],disclaim:20,discord:23,discourag:[13,24],discov:[0,23],discover:5,discret:[1,3,5,7,13],discrimin:[4,7,10,11],discriminator_loss:4,discriminator_loss_list:4,discriminator_model:4,discriminator_optim:4,discuss:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,22,23,24],diseas:7,disguis:[6,24],disord:[1,7],displai:[0,1,3,4,5,6,7,8,9,10,11,12,14,20,23,24],displaystyl:[0,5,23,24],displot:24,disregard:[0,23],dissimilar:[11,14],dist:14,distanc:[0,8,9,11,14,20,24],distance_list:9,distinct:[3,7,8,9,10,14],distinctli:8,distinguish:[0,4,7,8,20,23],distplot:[0,24],distribut:[0,1,4,6,7,10,11,13,14,15,16,17,18,23,24],distrubut:[0,15,17,23],div:[],dive:[0,8,18,23],diverg:[1,13],divid:[0,1,3,5,6,7,8,9,11,12,20,23,24],divis:[6,8,9,13,18,20],dna:7,dnn1:4,dnn2_gru2:4,dnn:[0,1,2,4,12,23],dnn_kera:1,dnn_model:1,dnn_numpi:1,dnn_scikit:[0,1,23],doc:[0,6,17,19,21,22,23,24],document:[4,7,11,13,24],doe:[0,1,2,3,4,5,6,8,10,11,12,13,16,18,20,23],doesn:[3,9,12],dog:[1,3,4],domain:[5,8,13],domin:[0,23],don:[0,1,3,5,6,8,11,13,15,17,23,24],done:[0,2,3,4,5,6,9,10,11,13,18,23,24],dot:[0,2,3,5,6,7,8,9,10,11,12,13,18,20,23,24],doubl:[3,4,18,23],doubli:1,down:[0,3,6,9,11,12,13,23],download:[0,1,3,5,6,18,22,23],downsampl:3,dozen:1,dq:6,drag:13,dramat:11,drastic:4,draw:[4,6,10,13],drawback:[0,1,3,13,24],drawn:[1,4,6,7,11,20,23],drive:[3,4],driven:3,drop:[0,1,5,6,11,13,20,23,24],dropna:[0,6,23],dropout:4,ds:[],dt:[2,3,13,20],dtype:[0,1,2,3,4,14,18,23,24],dualiti:6,dub:[0,23],due:[1,2,5,6,8,10,12,13,21,23,24],dummi:[0,24],dure:[0,1,3,4,8,9,11,17,23],dwell:[0,24],dwh:1,dwo:1,dx:[2,3,8,20],dx_1:20,dx_1p:6,dx_2p:6,dx_mp:6,dx_n:20,dxp:6,dy:[1,8,20],dynam:4,dysth:[],dz:8,e7cu:[],e:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,20,21,23,24],e_:[0,2,23],each:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,19,20,21,23,24],eager:[],eapprox:[0,23],earli:[1,13],earlier:[0,5,7,8,9,11,12,13,23,24],earthexplor:6,eas:[6,9,14],easi:[0,5,6,7,8,9,10,11,12,13,17,18,23,24],easier:[5,6,8,9,13,20,23,24],easiest:13,easili:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,18,23,24],eastern:[21,23],ebind:[0,23],eblock:9,econometr:23,economi:5,ecosystem:[17,23],ect:19,edg:3,edgecolor:6,edu:[13,24],educ:[0,23,24],eface79dac2c:[],eff:20,effect:[1,4,10,13,20],effic:1,effici:[0,3,10,13,17,18,20,23],efron:6,egrad:13,eig:[5,11,13,18,20,23,24],eigen:20,eigenpair:[5,11,24],eigenvalu:[0,5,8,11,13,18,23,24],eigenvector:[5,11,13,24],eight:[18,23],eigval:[18,20,23],eigvalu:[11,13],eigvec:[18,20,23],eigvector:[11,13],eispack:[18,23],either:[1,5,6,7,8,9,10,11,13,15,16,20,23,24],ekstrom:[],elabor:20,elarn:3,electr:[0,3,12,23],electron:23,electur:[],eleg:11,element:[1,2,3,4,5,6,7,8,11,12,13,17,18,19,22,24],elementari:[10,13,18],elementwis:[3,13],elementwise_grad:[2,13],elessar:23,elif:[2,14],elim:18,elimin:[3,8],els:[1,2,3,4,7,9,12,13,18],elu:1,elus:[0,23],email:[19,21,23],embed:[0,11,24],embodi:6,emit:20,emner:22,emphas:[0,10,17,23],emphasi:[0,17,22,23],empir:[1,11,20],emploi:[0,1,5,6,11,13,20,23,24],employ:[0,23,24],empti:[6,10],emul:12,en:[17,22],enabl:11,enbodi:6,encod:[0,3,5,9,11,14,23,24],encompass:[0,20,23],encount:[0,1,5,6,7,13,20,23,24],end:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,20,21,23,24],end_box:[2,13],end_nod:[2,13],end_valu:[2,13],endl:[],endpoint:[3,6],energi:[0,4,6,24],enet_coordinate_desc:6,enforc:12,eng:22,engin:[0,1,3,4,17,23],english:[],enorm:3,enough:[0,6,13,23],ensembl:[1,9],ensur:[0,1,2,3,5,6,11,13,20,24],ensure_initi:[],entail:23,enter:[5,6,24],enthought:[0,15,17,23],entir:[1,3,7,9,17,20,23],entiti:[9,12,18,23],entri:[0,5,8,11,12,18,23,24],entropi:[1,3,7,10,13,23],enumer:[0,1,2,3,4,6,8,23,24],env:[0,1,2,3,4,6,7,8,11,13,14,20,23,24],environ:[2,17],eo:[0,6,23],eol:[0,23],eosfit:[0,23],epoch:[0,1,3,4,12,13,23],epsilon:[0,5,6,7,13,23,24],epsilon_0:[0,23],epsilon_1:[0,23],epsilon_2:[0,23],epsilon_:[0,23],epsilon_i:[0,23,24],eq:[3,13,14,18,20],eqnarrai:[3,5,6],equal:[0,1,2,3,4,5,6,8,9,11,12,13,14,15,18,20,23,24],equat:[1,3,4,5,6,7,8,9,10,11,13,14,16,18,20],equilibrium:[2,12],equiv:[3,13,18,20],equival:[0,1,5,7,8,11,13,17,18,23,24],erf:20,eriador:23,eridg:23,err:[0,10],err_:6,err_sqr:2,errat:13,errno:[],erron:2,error:[1,2,4,5,6,7,9,11,12,13,15,16,17,18,20],error_estimate_corr_tim:20,error_handl:[],error_hidden:1,error_output:1,escap:13,especi:[1,3,9,12,13],essenti:[0,5,6,9,10,12,14,20,24],establish:[0,6,10,11,15,23],estim:[0,1,5,6,7,10,11,13,17,20,23,24],estimated_mse_fold:6,estimated_mse_kfold:6,estimated_mse_sklearn:6,et:[0,2,4,15,16,22,23,24],eta0:[8,13],eta:[0,1,3,8,12,13,23],eta_:13,eta_t:13,eta_v:[0,1,3,23],etc:[0,1,3,5,7,8,9,11,12,13,14,15,17,18,20,24],ethic:[17,23,24],etsim:[],euclidean:[0,14,24],evalu:[0,2,3,4,5,6,9,13,20,23,24],evalut:13,even:[0,1,3,4,5,6,8,9,10,11,12,13,14,17,18,20,23,24],evenli:4,event:[5,7,10,20],eventu:[0,5,6,11,12,13,21,24],everi:[0,1,2,3,4,5,6,9,10,11,12,13,14,17,20,21,23,24],everyth:[4,12],everywher:[4,13],evolv:[0,23],exact:[0,2,5,11,12,13,18,20,23,24],exactli:[0,3,4,6,12,17,24],exam:23,examin:6,exampl:[5,11,12,13,15,16,17,18,20,22],exce:[1,12,13],excel:[0,1,4,5,10,23,24],except:[3,4,6,8,9,18],excess:[0,23],excit:[0,23],exclud:[1,6,12,24],exclus:[0,1,3,6,20,23],execut:[2,5,13,24],executing_eagerli:[],exemplifi:13,exercic:[21,23],exercis:[5,17,19,21],exhaust:6,exhibit:[0,5,6,8,23,24],exist:[0,1,2,3,5,6,7,8,9,13,18,23,24],exit:[5,18,24],exp:[0,1,2,5,6,7,8,10,11,12,13,15,16,20,23,24],exp_term:1,expand:[5,7,11,13,24],expans:[0,3,5,8,10,12,13,23,24],expect:[0,1,5,6,7,11,12,13,15,16,17,23,24],expectation_value_of_h_wrt_p:20,expens:[6,10,13],experi:[0,1,6,8,13,17,23,24],experiment:[0,3,4,6,9,14,20,23],experimental_get_tracing_count:[],expert:[1,9],explain:[0,6,9,10,11,13,23],explained_variance_ratio_:11,explanatori:[0,23],explicit:[0,3,6,13,18,23,24],explicitli:[0,4,23],explod:1,exploit:[0,3,12,13,23],explor:[1,4,6,8,13,17],expon:1,exponenti:[0,1,5,6,10,13,20,23],export_graphviz:9,export_text:9,exporttext:9,expos:[17,23],express:[0,2,3,5,6,7,10,12,13,16,18,20],exptmean:20,exptvari:20,extend:[0,2,7,11,13,17,23],extens:[0,12,15,17,23],extent:[0,1,6,22,23],extern:[3,6,9],extra:[1,3,5,21,23,24],extract:[0,3,5,6,7,8,11,13,18,23,24],extrapol:[0,23],extrem:[0,1,4,5,6,7,8,9,13,16,18,24],extremum:13,extrins:11,ey:[0,5,6,13,14,18,23],f11:[0,23],f12:[0,23],f13:[0,23],f1:13,f1_grad:13,f1d:13,f2:13,f2_grad_x1:13,f2_grad_x1_analyt:13,f2_grad_x2:13,f2_grad_x2_analyt:13,f3:13,f3_grad:13,f3_grad_analyt:13,f3ckh:[],f4:13,f4_grad:13,f4_grad_analyt:13,f5:13,f5_grad:13,f6:13,f6_for:13,f6_for_grad:13,f6_grad_analyt:13,f6_while:13,f6_while_grad:13,f6d7a289d493:[],f7:13,f7_grad:13,f7_grad_analyt:13,f8:13,f8_grad:13,f9:[0,13,23],f9_altern:13,f9_alternative_grad:13,f9_grad:13,f:[0,1,2,3,4,5,6,7,8,10,12,13,14,16,18,20,21,23,24],f_0:[3,10],f_1:[10,13],f_2:[12,13],f_3:12,f_:10,f_d:20,f_grad:13,f_grad_analyt:13,f_i:[0,6,12,16],f_m:[3,10],f_n:3,f_raw:2,f_vec:2,f_wrap:2,face:13,facecolor:[6,8,20],facil:[0,15,17,23],facilit:12,fact:[0,1,3,5,9,11,12,13,23,24],factor:[0,1,3,5,6,9,10,11,13,18,20,23,24],factori:13,fade:6,fafab0:[9,10],fahimeh:[21,23],fail:[0,6,7,8,11,13,21,23],failur:7,fairli:[1,2,20],fake:4,fake_loss:4,fake_output:4,fall:[8,9,19],fals:[0,1,2,3,4,5,6,7,9,10,14,18,23,24],famili:[0,7,8,20],familiar:[0,3,5,6,8,15,17,18,20,23],famou:[6,12],far:[0,3,4,5,6,8,11,12,13,14,23,24],fashion:[0,9,10,23],fast:[1,3,6,10,12,13,17,20,23],faster:[1,11,13],fastest:[13,18],favor:7,favorit:20,fc:3,fdf8a5d7c717:[],fdfcc778e1f8:[],fe5b9d300cc0:[],featur:[0,1,3,5,6,7,8,10,11,12,13,17,20,23],feature_nam:[0,1,7,9,24],feautur:9,fed:1,feed:[0,2,3,11,17,23],feed_forward:1,feed_forward_out:1,feed_forward_train:1,feedback:[4,23],feeddorward:4,feedforward:[1,4,12],feel:[0,5,6,11,13,15,16,17,21,23],feet:[0,24],fei:23,fetch:[6,24],fetch_california_h:24,fetch_openml:24,few:[1,3,4,5,9,20,23],fewer:[0,9,11,23],ffnn:[1,12],fgakzw6k1qq:[],field:[0,3,6,12,17,23],fifth:[0,6,15,16,23],fig:[0,1,2,3,4,6,7,12,13,14,23],fig_id:[0,6,7,9,23,24],figaxi:20,figsiz:[0,1,2,3,4,6,7,8,9,10,23,24],figur:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15,16,17,23,24],figure_id:[0,6,7,9,23,24],figurefil:[0,6,7,9,23,24],file:[0,2,3,4,5,6,7,9,13,14,23,24],file_prefix:4,filenam:[23,24],filenotfounderror:[],fileout:[],filepath_or_buff:[0,23],fill:[5,9,24],filter:[3,4],filtered_flat_arg:[],filtered_tb:[],financ:[0,23],find:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,15,16,17,20,23,24],find_top_boxed_arg:2,fine:[0,14,15,23],finish:2,finit:[3,5,6,12,13,20,24],first:[0,1,2,3,5,6,7,8,9,10,11,13,14,15,16,18,20,21,22],firsteigvector:11,fit:[1,3,4,5,6,7,8,9,11,12,13,15,16,20,24],fit_beta:[6,24],fit_intercept:[0,5,6,24],fit_mod:9,fit_transform:[0,6,8,9,11],fiti:[0,23],five:[0,9,23,24],fix:[0,3,4,6,10,11,12,13,23],fixedformatt:6,fixedloc:6,fkkt:[],flag:4,flat:[12,13],flatbuff:[3,4,14],flatten:[1,3,4,5,18],flexibl:[1,6,8,10,12,23,24],flip:[21,23],float32:[4,9],float64:[4,18,23,24],flop:[5,18,24],flow:[1,4,12],fluctuat:5,fly:11,flyvbjerg:[],fm:[0,23],fma:[],fmax:3,fmesh:13,fn:7,focu:[0,3,4,5,6,15,17,22,23,24],focus:[1,6,7,18,24],fold:[6,9],folder:[0,1,4,6,13,23],follow:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24],font:[0,7,20,23],fontdict:20,fontsiz:[1,6,8,9,10,20],fontweight:1,footprint:3,foral:[8,24],forc:[0,5,6,10,11,23,24],forcast:4,forecast:[4,12],forelesningsvideo:[],forest:[0,1,9,17,23],forget:11,form:[0,3,4,5,6,7,8,9,11,12,13,17,18,20,23,24],formal:[3,4,14,20],format:[0,1,2,3,4,6,7,8,9,10,11,17,20,22,24],format_data:4,formatstrformatt:[6,13],formul:[4,6,11,14],formula:[3,13,20],forth:[4,12],fortran2003:[17,23],fortran90:20,fortran:[0,15,17,18,23],fortun:[0,11,24],forward:[0,3,6,17,18,23],forward_backward:[],forward_compatibility_horizon:[3,4,14],found:[1,2,4,5,6,12,13,23,24],foundat:[17,23],four:[4,5,6,8,12,18,19,21,23],fourier:[0,23],fourierdef1:3,fourierdef2:3,fourierseriessign:3,fourth:[12,23,24],fp:7,fr:[],frac:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,15,16,18,20,23,24],fractal:[],fraction:9,frame:[7,23],framework:[1,8,10,20],frank:[5,11],frankefunct:[5,6,11,24],fredli:[21,23],free:[0,6,11,13,15,16,17,18,20,21,22,23],freecodecamp:17,freedom:5,freeli:[0,23],frequenc:[3,6,7,20],frequent:[0,8,9,13,23],frequentist:17,fresh:10,frida:[],fridai:[16,21,23],friedman:[6,19,22,23,24],friendli:4,frodo:23,frog:3,from:[0,1,2,3,4,6,7,8,9,11,13,14,16,17,18,20,21,22,23],from_cod:9,from_logit:[3,4],from_tensor_slic:4,fromnumer:2,front:[0,4,5,15,16,23,24],fstream:[],fulfil:[2,5,12,24],full:[0,1,3,5,7,9,10,13,20,23,24],full_matric:[5,24],fulli:[3,6,12,19,20],fun:[2,13,17,23],fun_nam:[],func:[0,2,23,24],functionali:11,functool:[3,4,14],fundament:[0,6,17,23],funtion:2,further:[2,7,9,23],furthermor:[0,3,5,6,7,11,12,13,17,23,24],futur:[0,4,8,9,23,24],futurewarn:[0,23,24],fx:[],fy:[15,19,21,22,23],fys5419:[22,23],fys5429:[22,23],g0:2,g42mrgv128v34gnnhxwk9nrc0000gp:[],g:[0,1,2,3,4,6,8,9,10,11,13,14,20,23],g_0:2,g_1:[2,10],g_2:[2,10],g_:[2,9,10],g_analyt:2,g_dnn_ag:2,g_euler:2,g_i:2,g_m:[3,10],g_n:3,g_re:2,g_t:2,g_t_d2t:2,g_t_d2x:2,g_t_dt:2,g_t_hessian:2,g_t_hessian_func:2,g_t_jacobian:2,g_t_jacobian_func:2,g_trial:2,g_trial_deep:2,g_vec:2,gain:[1,5,7,9,10,13,24],galleri:[0,23],game:4,gamge:23,gamma1:8,gamma2:8,gamma:[0,2,8,9,10,11,13,23],gamma_0:10,gamma_1:10,gamma_1x:10,gamma_:[0,23],gamma_i:[0,8,20,23],gamma_j:13,gamma_k:13,gamma_m:10,gamma_x:[0,23],gap:[6,8],gate:[4,12],gather:[0,1,12,24],gaug:12,gaussbacksub:18,gaussian:[4,5,6,8,14,20],gaussian_point:14,gaussian_rbf:8,gave:13,gbc:[19,23],gca:[2,6,8,13],gd:1,gd_clf:10,gdclassiffiercgain:10,gdclassiffierconfus:10,gdclassiffierroc:10,gdm:13,gdregress:10,ge:[1,5,7,20,24],gemv:[],gen:[],gen_loss:4,gen_tap:4,gender:[0,23],genener:4,gener:[0,1,2,3,5,6,8,10,11,12,13,14,15,16,18,20,22,24],generallay:12,generate_and_save_imag:4,generate_imag:4,generate_latent_point:4,generate_simple_clustering_dataset:14,generated_imag:4,generator_loss:4,generator_loss_list:4,generator_model:4,generator_optim:4,genexpr:[],genom:17,geodes:11,geometr:[0,13,23],geometri:5,georg:22,geotif:6,geq:[2,5,8,9,13,24],geron:[0,15,19,22,23],get:[0,1,2,3,4,5,6,7,9,10,11,13,15,17,18,20,21,23,24],get_dummi:9,get_loc:[],get_next_color:[],get_paramet:2,get_split:9,get_yaxi:8,get_yticklabel:6,getsolutionslic:[],getval:[],gg:[],gibb:[17,23],gif:4,gini:10,gini_index:9,ginvers:13,git:[0,15,17,23],giter:13,github:[0,6,15,17,19,21,22,23,24],gitlab:[0,15,17,23],give:[0,1,2,3,5,6,7,8,9,10,12,13,14,17,20,23,24],given:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,23,24],global:[6,7,13],glorot:1,gmail:[],gnew:13,go:[0,1,3,5,6,8,9,11,12,13,23,24],goal:[0,7,9,23],goe:[0,1,2,5,6,13,14,18,23,24],golden:13,gone:[5,24],gong:1,good:[1,3,4,5,6,9,10,11,13,17,20,22,24],goodfellow:[4,19,22,23,24],googl:[1,4,17,23],got:[1,6],gov:6,gp:22,gpu:[1,13,17,23],grad:[2,13],grad_analyt:13,grade:19,gradient:[0,3,4,7,8,9,12,17,23,24],gradient_desc:[],gradientboostingclassifi:10,gradientboostingregressor:10,gradients_of_discrimin:4,gradients_of_gener:4,gradienttap:4,gradual:[1,14],grai:[4,6],graph:[1,9,11,12,13],graph_debug_info_pb2:[3,4,14],graph_from_dot_data:9,graph_funct:[],graphic:[0,1,9,23],grasp:[0,23],gray_r:[1,3],grayscal:3,great:[5,13],greater:[1,7,20],greatli:13,greedi:9,green:[0,3,9,20],grei:4,grid:[1,3,6,7,8,12,20,24],grossli:13,ground:[0,23],group:[0,6,7,9,14,17,19,21,23],groupbi:[0,23],grow:[1,3,9,10],growth:[0,23],gru:4,guarante:[0,4,13,20,23,24],guess:[1,4,10,13,14],guestrin:10,guid:1,guilherm:[],h1:2,h21:[],h:[0,1,5,6,8,13,16,20,21,22,23,24],h_1:[2,13],h_2:[2,13],h_:[0,13,23],h_m:10,ha:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,20,23,24],haa:[21,23],habit:[0,24],had:[0,1,6,7,13,23],hadamard:[1,12,13],half:[1,8,9],halv:10,hand:[0,1,2,3,5,11,12,13,15,17,18,19,20,21,22,23,24],handi:3,handl:[0,1,2,5,9,11,17],handle_unknown:9,handsid:12,handwrit:12,handwritten:[1,5,23],handwrittennot:23,happen:[1,2,3,4,5,6,10,13,20,24],hard:[1,7,8,10,13],hardcopi:[17,23],harder:[0,1,24],harmon:3,hasn:1,hassl:[0,15,17,23],hast:[17,23],hasti:[0,6,15,16,19,22,23,24],hat:[0,1,5,6,7,9,10,11,12,13,18,24],have:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,24],haven:1,hdtta7prrfi:[],he:7,head:[0,4,10,20,24],header:[0,23,24],heads_proba:10,health:[0,24],hear:[0,13,23],heart:[0,7,23],heatmap:[0,1,3,7,23,24],heavili:[0,23],heavisid:1,height:[1,3,6,24],held:13,help:[0,1,4,12,13,16,23],helper:[4,14],henc:[0,5,6,8,9,10,12,13,23,24],henrik:[21,23],her:7,here:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,23,24],hereaft:[0,8,12,23],hermitian:18,hessenberg:18,hessian:[0,2,5,13,16],heterogen:[9,10],hi:7,hidden:[1,3,4,12],hidden_bia:1,hidden_bias_gradi:1,hidden_layer_s:[0,1,23],hidden_neuron:4,hidden_weight:1,hidden_weights_gradi:1,hierarch:[5,24],high:[0,1,2,3,4,5,6,9,10,11,13,14,17,18,23,24],higher:[0,1,3,5,6,8,13,23,24],highest:[1,2],highli:[0,3,4,10,17,18,22,23,24],highwai:[0,24],hing:8,hint:[13,16,24],hip:17,hire:[0,23],hist:[4,6,7,20],histogram:[0,6,7,20,24],histor:[7,11],histori:[3,4,12],histplot:24,hit:[],hitherto:5,hjorth:[21,23,24],hm6ay5ds6o0:[],hobbi:20,hoc:[5,24],hoff:22,hold:[1,3,6,13,14],holder:[0,23],holomorphic_grad:[2,13],home:[0,24],homepag:23,homework:[6,13],homogen:[1,3,9,10,13],honchar:2,hopefulli:[0,11,20,23],horizont:11,hors:[3,7],hot:[1,9],hour:[1,17,19,20,21,23],house_pric:24,how:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,17,18,20,23,24],howev:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,18,20,23,24],hs:[],hspace:[0,4,8,10,20,23],hstack:[1,24],htf:[19,23],html:[0,7,11,17,19,21,22,23,24],http:[0,3,4,6,7,11,13,17,18,19,21,22,23,24],huang:[0,23],huber:[0,23],huge:[1,3,4,17],human:[0,1,3,6,9,12,23,24],humid:9,hundr:1,hungri:1,hybrid:19,hydrogen:[0,23],hyperbol:[1,4,12],hyperparam:8,hyperparamet:[3,4,5,6,9,13,23,24],hyperplan:11,i0:[0,23],i1:[0,6,8,12,23,24],i2:[0,8,12,23],i3:[0,12,23],i5:[0,23],i:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,21,23,24],i_1:[5,6],i_2:[5,6],i_:13,ian:22,ic:1,id:[7,13],ida:[21,23],idea:[0,1,2,3,4,6,9,10,12,13,18,23,24],ideal:[0,2,6,8,13,20,23,24],idem:6,ident:[5,6,12,13,18,24],identical:[],identifi:[0,1,7,9,11,12,13,14,23,24],idum:[],ieor:20,ifi:22,ifs:[17,23],ignor:[0,1,3,9,24],ii:[18,20],iii:[18,23],ij:[0,1,3,6,8,12,14,16,18,20,23,24],ik:[0,18,23,24],illustr:[5,7,10,12,13,14,17,23],im:6,imag:[1,3,4,6,9,11,12,14,22,23],image_at_epoch_:4,image_batch:4,image_height:3,image_path:[0,6,7,9,23,24],image_width:3,imageio:6,imagenet:23,images_from_seed_imag:4,imagin:1,immedi:[0,3,4,6,15,17,23],implement:[0,2,3,4,5,6,8,9,10,11,12,13,14,20,23,24],impli:[3,5,6,7,13,18,24],implicit:3,implicitli:[11,20],importantli:3,impos:[0,6,11,12,23],imposs:[0,5,23,24],impress:[0,12,23],improv:[0,4,5,9,10,11,13,24],impur:9,imread:6,imshow:[1,3,4,6],in3050:[22,23],in3310:23,in4080:[22,23],in4300:[22,23],in4310:22,in5400:3,in5550:22,in_out_neuron:4,inaccur:13,inacio:[],inact:12,inadequ:[0,23],inch:[6,24],includ:[0,1,2,3,4,5,6,7,11,12,15,16,17,20,21,22,23,24],include_bia:[6,9],incom:12,incorrect:1,incoveni:8,increas:[0,1,3,4,5,6,7,8,9,11,12,13,20,23,24],increasingli:20,ind:6,inde:[0,2,4,5,6,13,23,24],indefinit:4,indent:[],indentationerror:[],independ:[0,5,6,7,8,12,13,20,23,24],index:[0,1,3,4,10,14,17,18,20,22,23,24],index_col:[0,23],index_of:[],indic:[0,1,3,4,5,6,9,10,11,13,16,23,24],indispens:6,individu:[1,6,7,10,12,20,23,24],indu:[0,24],indx1:2,indx2:2,indx3:2,indx:18,ineffici:[3,13],inequ:[8,13],inequaltii:[],inertia:13,inf1000:[17,23],inf1100:[17,23],inf1100l:[17,23],inf1110:[17,23],inf3000:23,inf4490:[],inf5860:[],infeas:9,infer:[0,1,4,6,22,23],infer_nrow:[0,23],inferenc:1,infil:[0,6,7,9,23],infin:[5,6,7,11,24],infinit:3,infinitesim:20,influenc:[6,10],influenti:1,info:23,inform:[0,1,3,4,6,9,11,12,13,14,18,22,23],infti:[3,6,13,20],ingeni:13,ingrad:2,ingredi:[0,9,23],inher:6,inherit:[18,23],initi:[0,1,2,6,10,13,14,18,20,23],initial_epoch:[],initialis:[],initialize_root:[],inject:14,inlin:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],inner:[0,13,24],innov:[],inp:4,inplac:13,input:[0,1,3,4,5,6,7,8,9,10,12,13,14,15,20,23,24],input_dim:1,input_shap:[3,4],inputs:1,inputs_shuffl:[0,1,24],insert:[3,5,6,8,10,20,24],insid:[0,4,7,24],insight:[0,1,5,17,23,24],insist:[6,13,24],inspir:[0,1,12,23],instabl:2,instal:[0,1,5,6,9,15],instanc:[0,1,2,4,6,9,11,13,23,24],instanti:10,instead:[0,1,2,3,4,5,6,8,9,11,13,14,18,20,23,24],institut:1,instruct:[0,1,15,16,23],int32:10,int64:24,int64index:23,int_0:20,int_:[3,6,20],int_a:20,intak:[0,24],integ:[1,2,13,14,18,20,23],integer_vector:1,integr:[3,6,20,23],intellectu:23,intellig:[0,14,22,23],intend:[10,23],intens:1,intention:14,interact:[0,6,9,12,17,23],intercept:[0,6,8,11,13,16,23],intercept_:[0,6,8,9,13,23,24],interchang:[5,12,18],interconnect:1,interest:[0,1,2,3,4,5,6,7,8,9,12,17,20,23,24],interfac:[0,1,18,24],interior:[0,9,23],intermedi:[18,24],intern:[1,10,12],interpol:[1,3,4,6,12],interpr:[5,24],interpret:[0,1,3,4,6,9,10,12,13,14,18,20],interv:[0,3,5,6,7,13,20,23,24],intial:13,intract:[0,4,24],intrins:[3,11,18,20,23],intro:[17,22,23],introduc:[0,1,5,6,8,10,12,18,20,23],introduct:[1,2,4,13,22,24],introductori:[0,4,18,22,23,24],intuit:[0,5,6,8,12,13,23],inv:[0,5,13,23,24],invalid:1,invalu:[0,13,15,17,23],invari:1,invd:5,inver:8,invers:[0,3,6,13,15,16,23,24],invers_period:[],inverse_transform:8,invert:[0,5,7,10,13,23],invh:13,invok:[0,8,24],involv:[0,2,6,7,11,12,24],io:[0,17,19,21,22,23,24],iomanip:[],iostream:[],ip:[0,8,20,23],ipca:11,ipykernel_41811:6,ipykernel_42331:[],ipykernel_42376:[],ipykernel_42449:[],ipykernel_42456:[],ipykernel_42530:[],ipykernel_42541:[],ipykernel_42553:[],ipykernel_42573:[],ipykernel_42580:[],ipykernel_42586:[],ipykernel_47411:[],ipykernel_47448:[],ipykernel_47647:[],ipykernel_47724:[],ipykernel_47735:[],ipykernel_65914:23,ipykernel_9414:13,ipykernel_94478:1,ipykernel_94529:[],ipykernel_94582:[],ipykernel_96694:[],ipynb:[17,23],ipython:[0,5,7,9,11,14,15,17,23,24],iq:6,iri:[8,9],irreduc:6,irrelev:[5,24],irrespect:[0,23],is_integ:[],isbox:[2,13],iscomplexobj:[],isinst:[],isn:5,isnul:[0,24],isomap:11,isotop:23,issu:[1,9,18,24],it_arrai:13,item:[0,13,23],items:[18,23],iter:[1,2,4,6,7,8,11,13,14,20],itr:[],its:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,17,18,20,23],itself:[5,6,12,20,24],ix:[],j1:18,j:[0,1,2,3,4,5,6,8,9,11,12,13,14,16,18,20,22,23,24],j_:6,j_lasso_sk:6,j_ridge_sk:6,j_sk:6,jackknavg:[],jackknif:[6,17,23],jackknstd:[],jackknvar:[],jackknvec:[],jacobian:[2,13],jacobian_shap:2,jakobsen:[21,23],jargon:[],jason:4,jax:[17,23],jensen:[21,23,24],jerom:22,jhfgq77fpq:[],ji:[12,18],jit:13,jj:[0,5,6,23],jk:[0,1,6,12,18,23],jl:[0,23],jm:18,jnp:13,joao:[],joaogca:[],job:[2,8,10],join:[0,4,6,7,9,23,24],joint:[4,5],journal:[],judg:13,judgement:6,julia:[17,18],jump:20,junk:4,jupit:23,jupyt:[0,15,17,22,23],just:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,17,20,23,24],justif:[0,23],justifi:[3,10],jy:[],jydg2xzka5:[],k0:7,k1:7,k:[0,1,3,5,6,7,8,9,10,11,12,13,14,17,18,20,21,23,24],kaggl:6,kappa_d:20,karim:[],karl:[21,23],karlsen:[],karush:8,kate:23,katrin:[21,23],keep:[0,1,4,5,6,11,13,14,18,23,24],keepdim:[1,6,10,18],kei:[0,1,3,6,12,24],kept:[4,6,14],kera:[0,4,17,23],kernel:[0,1,3,17,23,24],kernel_regular:[1,3],kernel_s:4,kernelpca:11,kev:[0,23],kevin:[22,23],keyboardinterrupt:2,keyerror:[],keyword:[6,13,18,23],kfold:6,kg:1,ki:18,kick:[1,13],kiener:2,kilomet:[6,24],kind:[0,2,3,4,8,12,13,14,23,24],kj:[6,12,18,24],kjm:[17,23],kkt:8,kktsolver:[],kl0m3:[],kl:20,km:[12,23],kmean:14,kmeanspoint:14,kn_k:14,know:[0,1,2,5,6,8,13,17,23,24],knowledg:[0,17,23],known:[1,3,4,5,6,7,8,9,12,18,20,22,24],kondev:[0,23],kp:20,kpca:11,kroneck:14,kuhn:8,kutz:[],kvalsund:[21,23],kwarg:[0,2,13,23],kwd:[0,23],kwown:[0,23],l0:7,l1:[0,1,3,7,23],l1_l2:[1,3],l1regl:5,l1regls_mosek2:[],l1regls_mosek:[],l2:[1,3],l:[0,1,2,3,5,6,7,8,10,11,12,13,18,20,23,24],l_1:7,l_2:[7,13],l_:18,l_j:12,la:13,la_i:12,la_k:12,lab:[17,23],label:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,17,18,20,23,24],label_prob:[],labelencod:[7,10],labels:[6,8,9],labels_shuffl:[0,1,24],laboratori:[19,24],lack:[0,23],lagari:2,lagrang:[8,11],lambda:[0,1,2,3,5,6,7,8,10,12,13,20,23,24],lambda_0:11,lambda_1:[5,8,11,24],lambda_2:[8,11],lambda_:11,lambda_i:[8,11],lambda_iy_i:8,lambda_jy_iy_j:8,lambda_k:8,lambda_n:[5,8,24],lamda:1,lamdbda:[],land:[0,8,24],landmark:8,landscap:13,langl:[0,6,11,20,23,24],languag:[0,1,4,8,15,17,18,22,23],lapack:[18,23],laplac:5,laptop:17,larg:[0,1,2,4,5,6,8,9,10,11,13,15,17,18,20,22,23,24],larger:[0,3,5,6,8,10,11,13,20,23,24],largest:[4,8,11],lasso:[0,7,17,23],lasso_sk:6,last:[0,1,2,3,4,5,6,7,8,9,10,12,13,14,15,18,20,21,23],latent:4,latent_dim:4,latent_point:4,latent_space_value_rang:4,later:[0,1,4,6,7,8,12,13,14,15,17,23],latest:[4,17],latest_checkpoint:4,latex:23,latter:[0,3,6,7,8,11,13,16,18,20,23,24],lattic:12,law:[0,23],layer:[0,4,13,14,23],lbfg:[7,9,10,11],lcc:[5,6],lda:11,ldot:[0,6,11,23],le:[5,7,10,13,20,24],lead:[0,1,3,5,6,7,8,9,10,11,12,13,16,18,20,23,24],leaf:9,leaki:1,leakyrelu:4,lear:13,learn:[3,4,5,6,7,8,9,10,12,18,19,21,22],learnabl:3,learner:10,learnig:23,learning_r:[8,10],learning_rate_init:[0,1,23],learning_schedul:13,least:[0,2,7,8,10,11,15,16,17,18,20],leat:13,leav:[0,1,3,5,6,9,11,23],lectur:[0,1,5,10,11,12,13,15,17,18,19,21,22],lecturenot:[0,17,22,23],lecturenovember11:[],lecturenovember12:[],lecturenovember19:[],lecturenovember25:[],lecturenovember26:[],lecturenovember4:[],lecturenovember5:[],lectureoctober14:[],lectureoctober15:[],lectureoctober1:[],lectureoctober21:[],lectureoctober22:[],lectureoctober28:[],lectureoctober29:[],lectureoctober7:[],lectureoctober8:[],lectureseptember10:[],lectureseptember16firstpart:[],lectureseptember16secondpart:[],lectureseptember17:[],lectureseptember23:[],lectureseptember24:[],lectureseptember2:[],lectureseptember30:[],lectureseptember3:[],lectureseptember9:[],lecturethursdayaugust26:[],lecturethursdayaugust27:[],left:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,16,18,20,23,24],leftarrow:[8,12],legend:[0,2,3,4,5,6,7,8,9,10,13,23,24],len:[0,1,2,3,4,5,6,8,9,10,11,12,18,23,24],len_index:[0,23],length:[0,1,2,3,4,8,9,13,16,17,23,24],length_of_sequ:4,leq:[0,5,7,8,13,14,20,23,24],less:[0,1,3,4,5,6,8,9,13,17,20,23,24],lessen:1,let:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],letter:[0,16,18,20,23,24],level:[0,1,5,6,9,17,18,19,21,23,24],li:[8,11,23],lib:[0,1,2,3,4,6,7,8,11,13,14,23,24],liblinear:[8,10],librari:[0,1,2,3,4,5,6,9,10,11,15,18,20,22,24],licens:[0,1,15,17,23],lie:[0,6,11,20,24],life:[0,1,8,12,23],lifetim:13,like:[0,1,2,3,4,5,6,7,9,10,11,12,13,15,16,17,18,20,23,24],likelihood:[0,1,5,9,23,24],lim_:20,lima:[21,23],limit:[0,5,6,7,8,11,12,18,23,24],lin_clf:8,lin_model:[0,24],lin_reg:9,linalg:[0,2,3,4,5,6,8,11,13,14,18,20,23,24],line1:8,line2:8,line2d:13,line3:8,line:[0,2,3,4,6,8,9,10,11,13,14,15,23,24],linear:[1,3,5,6,7,9,10,11,12,17,20],linear_model:[0,5,6,7,8,9,10,11,13,23,24],linear_regress:6,linearli:[5,24],linearloc:[6,13],linearregress:[0,6,7,9,23,24],linearsvc:8,liner:[1,3],linerar:10,linewidth:[0,2,4,6,8,9,10],link:[0,4,9,12,17,21,23],linlag:5,linpack:[18,23],linreg:[0,23],linspac:[0,2,3,4,6,8,9,10,13,15,16,18,20,23,24],linu:4,linuek:[],linux:[0,1,15,17,23],liquid:[0,23],list:[0,1,2,3,4,9,17,23,24],listcomp:2,listedcolormap:[9,10],lite:[3,4,14],lite_const:[3,4,14],literatur:[1,7,14,22],littl:[1,3,9,12],live:8,ll:[0,20,23,24],lle:[0,24],lloyd:[4,14],lmb:[0,2,5,6],lmbd:[0,1,3,23],lmbd_val:[0,1,3,23],lmbda:13,ln:[1,13],lo:[],load:[0,1,4,6,7,9,10,24],load_boston:[0,24],load_breast_canc:[1,7,9,10,11],load_data:[3,4],load_digit:[1,3],load_iri:[8,9],loc:[0,3,6,7,8,9,10,23],local:[0,1,2,3,7,12,13,23,24],locat:[2,3,8],lock:[],log10:[0,2,5,6],log1p:2,log:[0,1,2,3,4,5,6,7,9,10,11,13,14,18,23,24],log_:[0,23],log_clf:10,logarithm:[0,5,7,18,23],logic:[0,1,9,23],logist:[0,1,2,8,9,10,11,12,13,17,24],logistic_predict:[],logisticregress:[7,9,10,11],logit:7,logreg:[7,9,10,11],logspac:[0,1,3,5,6,23],longer:[2,3,8,10,14,18,20,23],loocv:6,look:[0,1,2,3,4,5,6,7,8,9,10,11,13,18,20,23,24],lookup:[3,4,14],loop:[1,4,6,10,12,14,17,18,23],lose:1,loss:[0,1,3,4,5,6,7,8,10,11,13,18,23],loss_fil:4,lossfil:4,lost:4,lot:[0,1,4,6,24],low:[0,6,9,10,11,23,24],lower:[0,1,3,6,9,10,16,18,24],lowercas:[18,23],lowest:[9,13,20],lr:[1,3,4,10],lstat:[0,24],lstm:4,lstm_2layer:4,lstsq:[0,23,24],lt:6,lu:[0,5,23,24],lubksb:18,luckili:2,ludcmp:18,lux:18,lvert:1,lw:[0,23],m:[0,1,2,3,5,6,8,9,10,11,12,13,18,19,20,21,22,23,24],m_1:14,m_:[9,12],m_h:[0,23],m_k:14,m_l:12,m_n:[0,23],m_p:[0,23],m_t:13,ma:11,mac:[],machin:[1,3,4,5,6,7,9,10,11,12,15,18,19,22,24],machinelearn:[0,6,17,19,21,22,23,24],machinelearningmurphi:[],mackai:22,made:[0,1,3,4,5,6,7,9,11,12,23,24],mae:[0,23],magic:4,magnitud:[1,6,7,13,24],mai:[0,1,2,3,5,6,7,8,9,11,12,13,17,18,20,24],mail:[19,21],main:[0,1,3,4,5,6,7,9,18,22,23,24],mainli:[0,5,6,7,9,23,24],maintain:[6,24],major:[1,6,9,10,13,18,23],make:[1,2,3,4,5,6,7,8,11,12,13,17,18,20,22],make_axes_locat:6,make_moon:[8,9,10],make_pipelin:[0,6,10,24],make_vjp:[2,13],makedir:[0,6,7,9,23,24],makeplot:[0,23],malcondit:18,malign:[1,7,9],mammographi:5,manag:[0,2,3,15,17,23],mandatori:[21,23],mani:[0,1,3,4,5,6,7,8,9,11,13,14,17,18,20,22,23,24],manifold:11,manner:3,manual:[6,24],map:[0,1,2,6,7,8,11,12,14,20,23],margin:[0,5,8,23],mari:[],marit:[0,23],mark:23,marker:[0,7,18,23,24],markov:[17,23],marsaglia:20,mask:[],mass:[0,1,5,13,24],massag:[0,23],masses2016:[0,23],masses2016ol:[0,23],masses2016tre:0,masseval2016:[0,23],master:[6,19,21,23],mat1100:[17,23],mat1110:[17,23],mat1120:[17,23],mat3155:[],mat4155:[],mat:[17,23],match:[0,1,4,5,13,14,23,24],materi:[4,5,7,13,18,21],math:[3,7,12,13,18,20,22,23],mathbb:[0,4,5,6,7,8,11,12,13,14,18,20,23,24],mathbf:[0,5,6,7,8,13,18,23,24],mathcal:[1,5,6,7,13],matheemat:3,mathemat:[0,6,11,12,13,17,18,20,22,23],mathemati:23,mathrm:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,20,23,24],matmul:[1,2,5],matmul_adjoint_1:[],matmul_vjp_0:[],matmul_vjp_1:[],matnat:22,matplotlib:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,17,18,20,23,24],matplotlibdeprecationwarn:[6,13],matric:[0,1,3,4,6,7,8,11,13,16,17,24],matrix:[0,2,3,4,6,7,8,10,13,15,16,20],matshow:1,matter:[2,3,13,24],max:[0,1,2,3,4,9,10,12,13,21,23],max_depth:[0,9,10],max_diff1:2,max_diff2:2,max_diff:2,max_it:[0,1,7,8,11,13,23],max_iter:14,max_leaf_nod:10,max_queue_s:[],max_sampl:10,maxdegre:[0,6,10,24],maxdepth:10,maxim:[1,4,5,7,8,11],maximum:[0,1,2,3,5,7,8,9,10,13,14,23,24],maxpolydegre:[5,6],maxpooling2d:3,mbox:[5,6,24],mc:[],mccorduck:23,mcculloch:12,mcint:[],mcintsqr2:[],md:11,mdoel:4,mdyt6uwokt0:[],mean:[1,2,3,4,5,6,7,9,10,11,12,13,14,15,16,17,18,20],mean_absolute_error:[0,23],mean_divisor:14,mean_i:20,mean_matrix:14,mean_squared_error:[0,4,6,7,10,23,24],mean_squared_log_error:[0,23],mean_vector:14,mean_x:20,meaning:[0,4,7,23],meansquarederror:[0,23],meant:[2,3,7,10,13],meantempvec:[],meanvec:[],measur:[0,1,2,5,6,9,11,12,14,20,23,24],mechan:[0,4,20,23],median:[0,23,24],medicin:12,medium:[4,8,13],medv:[0,24],meet:[0,21],mehta:[0,23,24],memori:[3,4,11,12,13,18,23],mention:[0,12,13,20,23],mere:[0,15,23],mersienn:[],meshgrid:[2,5,6,8,9,10,11,24],messag:[5,13],messi:2,met:[0,3,8,23,24],metadata:[],meteorolog:9,meter:[6,24],method:[0,1,2,3,4,5,7,8,11,12,14,16,17,18,20,22,23,24],metion:6,metric:[0,1,3,4,6,7,9,10,14,15,16,23,24],metropoli:[17,23],mev:[0,20,23],mgd:13,mglearn:[17,23],mgrid:13,mhjensen:[1,2,6,7,8,11,24],mi:10,mia:[21,23],michigan:[23,24],microsoft:22,mid:1,midel:4,midnight:16,midpoint:9,might:[0,1,2,4,6,9,13,24],mild:9,miller:[],millimet:[6,24],million:[0,23,24],mimic:12,min:[0,2,5,8,9,23],min_:[0,2,5,14,23,24],min_samples_leaf:9,mind:[0,6,13,23,24],mindboard:4,mine:[17,23],mini:[1,11,12,13],minibatch:[1,11,13],minibathc:13,miniforge3:[0,1,2,3,4,6,7,8,11,13,14,23,24],minim:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,24],minima:[0,1,7,13,23],minimum:[0,1,2,6,8,9,11,13,24],minmaxscal:[0,24],minor:[6,13,20],minst:1,minu:7,mirror:9,misc:6,misclassif:[8,9,10],misclassifi:[8,10],miser:0,mismatch:1,miss:[0,7,10,24],mistak:4,mit:22,mix:[1,2,23],mixtur:13,mk48pfcxgyk:[],mk:[9,18],mkdir:[0,6,7,9,23,24],ml:[0,1,10,13,18,24],mlab:20,mle:[5,7],mline:[],mlir:[],mlir_graph_optimization_pass:[],mlp:1,mlpclassifi:1,mlpregressor:[0,23],mm:18,mn:[12,20],mnist:[1,11],mod:20,mode:[19,21,23],model:[2,3,5,7,8,9,10,11,13,14,15,16,17,20,22,24],model_select:[0,1,3,5,6,7,9,10,11,23,24],modelanalyz:[3,4,14],moder:10,modern:[0,6,7,17,23],modif:[2,12,13],modifi:[0,1,3,5,7,8,10,12,13,23,24],modul:[0,3,4,7,8,9,11,14,18,23],modular:20,modulenotfounderror:[3,4,8,9,14],modulo:20,moe:[11,24],moment:[5,6,13,20],monitor:13,monoton:[5,12,20],mont:[0,6,17,20,22,23],montecarlocycl:[],moor:[5,6],more:[0,1,2,4,5,7,8,9,10,11,12,13,14,17,20],moreov:[0,3,23],morten:[21,23,24],mortenimac:[],mosek:[],most:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,17,20,23,24],mostli:[1,11],motion:[0,13,23],motiv:[1,4],move:[0,3,4,5,6,7,9,12,13,14,20,23,24],mp4:[],mpl:[0,7,23],mpl_toolkit:[2,6,13],mplot3d:[2,6,13],mplregressor:1,mse:[0,4,5,6,9,10,15,16,23,24],mse_simpletre:10,mselassopredict:5,mselassotrain:5,mseownridgepredict:6,msepredict:5,mseridgepredict:[0,5,6],msetrain:5,msg:[0,23,24],msle:[0,23],mt19937_64:[],mt:[7,12],mu0:20,mu1:20,mu2:20,mu:[0,6,11,13,20,23],mu_1:24,mu_:[6,20,24],mu_i:[6,24],mu_n:11,mu_x:20,much:[0,1,2,3,4,5,6,8,9,10,11,12,13,18,20,23,24],mul:[],multi:[0,1,3,7,17,23,24],multiclass:[1,7],multidimension:[11,12,23],multilay:1,multinomi:7,multipl:[2,4,5,6,7,12,13,20,24],multipli:[3,5,6,11,13,18,20,24],multiplum:8,multivari:[0,2,10,11,17,20,23],multivariate_norm:[11,14],murphi:[11,22,23],must:[0,1,2,5,6,8,10,12,13,14,20,23,24],mutat:7,mutual:[1,3,6,13],mx_:20,myenv:[0,1,2,3,4,6,7,8,11,13,14,23,24],myriad:[0,15,17,23],mz1:20,mz2:20,n1:18,n2:18,n:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,15,16,18,20,23,24],n_0:[12,20],n_:[1,2,3,8,12,20],n_b:[],n_boostrap:[6,10],n_bootstrap:6,n_categori:[1,3],n_cluster:14,n_compon:11,n_epoch:13,n_estim:10,n_examples_to_gener:4,n_featur:1,n_filter:3,n_hidden:2,n_hidden_neuron:[0,1,23],n_i:20,n_input:[0,1,3,24],n_instanc:9,n_iter_i:[7,11],n_job:10,n_k:14,n_l:[12,20],n_layer:1,n_m:9,n_neuron:1,n_neurons_connect:3,n_neurons_layer1:1,n_neurons_layer2:1,n_point:14,n_sampl:[6,8,9,10,14],n_split:6,n_step:4,n_t:2,n_x:2,nabla:[1,13],nabla_:[2,13],nabla_w:13,nag:13,naimi:[0,23],naiv:7,naive_kmean:14,najafi:[21,23],nall:[0,23],name:[0,1,3,4,5,6,7,8,9,10,12,13,14,15,17,18,20,21,23,24],nameerror:[6,10,15],namespac:[3,4,14],narrow:13,nary_f:[2,13],nary_op_arg:[2,13],nary_op_kwarg:[2,13],nary_oper:[2,13],nation:[1,5,24],nativ:[17,23],natur:[0,1,4,8,9,12,13,20,22,23],navier:12,nb:20,nb_:18,nbconvert:23,nboot:[],nd:14,ndarrai:[2,6],ndef:13,ndim:[],ne:[9,10,18,20,24],ne_xcl2ctm0:[],nearest:[1,3,6,11],nearli:13,neat:23,neccesari:6,necess:2,necessari:[0,1,3,4,8,14,23],necessarili:[0,4,11,20,23],necesserali:5,neck:7,need:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,24],neg:[0,1,3,5,6,7,10,13,18,20,23],neg_mean_squared_error:6,neglect:20,neglig:20,neighbor:[3,6,11],neither:[4,13],neq:[13,14,20],nervou:12,nest:[2,9,12],nesterov:13,net:[2,4,12],netlib:[18,23],network:[0,9,13,17,22,24],neural:[0,13,17,22,24],neural_network:[0,1,2,23],neuralnetwork:1,neuron:[1,2,3,4,12],neutral:[0,23],neutron:[0,23],never:[1,4,6,9,20],new_box:[2,13],new_chang:13,new_hobbit:23,new_root:[2,13],new_trac:[2,13],new_tracing_count:[],newaxi:[0,3,6,9],newli:[0,23],newton:[1,7,8,13,20],next:[0,1,2,3,4,5,6,8,9,13,14,23,24],next_guess:13,next_input:4,nf8_grad:13,nfrom:13,ng:1,ngini:[],ni:14,nian:[],nice:[0,1,5,11,23,24],nichola:[],nicholaskarlsen1102:[],nimport:13,niter:13,nitric:[0,24],nlambda:[0,5,6],nlevel:[],nlp:22,nm:20,nm_n:[0,23],nmse:6,nn:[2,5,6,12,18],nn_model:1,nnmin:2,node:[1,2,3,9,10,12],node_constructor:2,nois:[0,4,5,6,8,9,10,13,15,16,23,24],noise_dimens:4,noisi:[1,6],non:[0,1,3,5,6,7,9,10,11,12,13,14,18,20,23,24],none:[0,1,2,4,5,9,10,13,20,23,24],nonlinear:[3,6,8,9,11,12],nonneg:[6,9,13],nonparametr:6,nonsens:20,nonsingular:18,nonumb:[3,7,8,13,18],nor:[1,4,13],norm:[0,1,5,6,8,11,13,23,24],normal:[3,4,5,6,7,8,9,10,11,12,13,15,16,17,18,20,23,24],normali:[18,23],normalize_kwarg:[],norvig:23,norwai:[6,23],notat:[0,2,5,6,13,14,20,23,24],note:[0,1,2,3,4,5,6,7,8,11,12,13,14,15,16,17,18,20,22,23],notebook:[0,1,3,9,15,17,23],notesexercise5week452022:23,noth:[1,2,5,8,12,14,20,24],notic:[4,5,12,13,18,20,23],notimplementederror:2,notion:3,notrace_primit:[],novel:[3,6,10],novemb:[1,19,21,23],now:[0,2,4,5,6,7,8,10,11,12,14,15,16,17,18,20,23,24],nowadai:[0,1,3,9,17,23],nox:[0,24],np:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,18,20,23,24],npr:2,nprint:13,nsampl:6,nspin:[],nt:2,nthi:[0,23],ntrained_model:6,nu:20,nuclear:[5,24],nuclei:[0,20,23],nucleon:[0,23],nucleu:[0,23],num:4,num_allow_arg:[0,23],num_coordin:2,num_hidden_neuron:2,num_it:2,num_neuron:2,num_neurons_hidden:2,num_output:[],num_point:2,num_tre:10,num_valu:2,number:[1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,21,23],numberid:7,numberparamet:3,numer:[0,5,6,9,10,11,12,13,17,18,22,23,24],numpi:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,20,24],numpy_vjp:2,numpy_wrapp:2,nunmpi:[5,24],nvalu:[],nx:[2,13],nx_test:6,nx_train:6,nx_train_mean:6,ny:20,ny_pr:6,ny_train:6,ny_train_mean:6,o:[0,6,7,8,9,11,15,18,21,22,23,24],obei:[6,11,13,24],object:[0,1,2,4,6,8,10,13,18,23,24],objsens:[],obliqu:[5,24],observ:[0,1,3,5,6,7,8,9,10,11,12,13,14,20],obtain:[0,1,5,6,7,8,9,10,12,13,14,18,20,23,24],obviou:[5,6,11,20,24],obviouli:23,obvious:[0,4,5,6,18,23],oc:24,occupi:[0,24],occur:[0,6,8,9,18,20,23],octob:[19,21,23],od:0,odd:[0,3,7,23,24],odenum:2,odesi:2,oen:0,off:[1,3,4,5,9,13,20],offer:[6,11,17,18,19,21,23],offic:[21,23],offici:[19,23],ofil:[],ofstream:[],often:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18,20,23,24],ofter:[18,23],oh6i_oscwpc:[],ol:[0,13,15,16,23,24],old:[1,5,10,13],ols_sk:6,ols_svd:6,olsbeta:[0,5],olxksel3p4a:[],omega:[2,3,6],omega_0:3,omit:[0,5,23,24],on_train_batch_begin:[],onc:[1,6,9,11,13],one:[0,1,3,4,5,6,7,8,9,10,11,13,14,17,18,20,21,23,24],oneapi:[],onednn:[],onehot:1,onehot_vector:1,onehotencod:9,ones:[0,2,5,6,8,9,10,11,13,18,23,24],ones_lik:4,onl:3,onli:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],onlin:[11,19],onto:[5,11,24],op_nam:[],opbdi:[],open:[0,1,4,6,7,9,15,17,19,21,23],oper:[0,1,3,5,6,10,11,12,13,15,17,20,23,24],operation:20,ophint:[3,4,14],oplu:20,opmiz:13,opportun:[0,23],oppos:[6,13],opposit:[1,5,8,24],opresolvertyp:[3,4,14],opt:[1,5,23],optim:[0,2,3,4,5,6,7,9,10,11,14,15,16],optimis:[1,3],optimizer_v2:[],option:[0,1,3,5,6,7,8,11,18,24],optionalxlacontext:[],optmiz:[1,8,13,24],oral:23,orang:0,order:[0,1,2,3,5,6,7,8,9,10,11,12,15,16,18,20,23,24],ordinari:[0,2,3,7,11,13,15,16,17],oreilli:22,org:[0,3,4,7,11,17,18,22,23],organ:[6,7,10,18],orient:[1,5,20,24],origin:[0,3,5,6,8,11,12,13,18,23,24],orthogn:[5,24],orthogon:[0,5,6,8,11,13,18,23,24],orthonorm:[5,24],os:[0,1,4,5,6,7,8,9,21,23,24],oscar:1,oscil:[3,13],oslo:[0,15,17,19,21,23,24],osx:[0,15,17,23],other:[0,1,2,3,5,6,7,8,10,13,14,15,17,19,20,21,22],otherwis:[0,1,4,7,13,18,23,24],ouput:[5,7,12],our:[1,2,3,6,7,8,9,10,12,14,15,16,17,18,20],ourmodel:0,ourselv:[0,5,6,8,11,13,23,24],out:[0,1,2,4,5,6,7,8,9,10,11,12,13,16,17,18,20,23,24],out_fil:9,outcom:[0,7,9,10,12,20,24],outdoor:9,outer:[6,12,13],outfil:4,outfilenam:[],outgrad:2,outlier:[0,8,23,24],outlin:[6,10,11],outlook:9,outperform:10,output:[0,1,3,4,5,6,7,8,9,10,12,13,16,18,20,23,24],output_bia:1,output_bias_gradi:1,output_shap:4,output_weight:1,output_weights_gradi:1,outputlayer1:12,outputlayer2:12,outsid:4,over1:13,over:[0,1,3,4,5,6,9,10,12,13,18,23,24],overal:[1,10],overcast:9,overcom:[12,13],overdetermin:[0,23],overfit:[0,1,3,6,9,10,13],overflow:[1,5],overhead:12,overlap:[3,7,8,9],overlin:[0,5,6,9,10,11,14,18,23,24],overst:[0,23],overtrain:4,overview:3,own:[4,5,6,8,12,13,17,18],owner:[0,24],ownmsepredict:0,ownmsetrain:0,ownridgebeta:[0,6],ownypredictridg:0,ownytilderidg:0,oxid:[0,24],oyvinssc:[],p0:2,p1:2,p:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,18,20,23,24],p_:[2,4,8,9],p_hidden:2,p_i:[5,20],p_j:20,p_n:20,p_output:2,p_x:20,pack:[0,23],packag:[0,1,2,3,4,5,6,7,8,11,13,14,15,17,20,24],pad:[3,4],page:[0,17,23],pai:[0,1,9,13],pair:[0,2,3,9,17,20,23,24],pamilla:23,panda:[0,4,5,6,7,9,11,15,17],panel:23,paper:1,paradigm:[0,23],parallel:[10,13,17,18,23],param:2,paramat:2,paramet:[0,1,2,3,4,5,6,7,8,9,10,12,13,16,20],parameter:[0,6,10,23,24],parametr:[0,6,15,16,23,24],paramt:[3,5],parent:2,parent_argnum:[],park:[],parser:[0,23],part:[0,1,3,5,6,10,18,19,20,21,23],partial:[0,1,5,6,7,8,10,11,12,13,16,20,23,24],particip:[17,19,21,23],particl:[0,4,13,20,23],particular:[0,1,2,3,5,6,9,10,11,12,13,16,20,22,23,24],particularli:[5,6,8,11,13,20,24],partit:[1,4,9],partli:[6,23],pass:[2,3,12,14],past:[10,20],patch:[6,20],path:[0,4,6,7,9,15,17,23,24],patient:7,patter:4,pattern:[0,3,4,12,19,22,23],pauli:[0,23],pc:[11,17],pca:[0,7,17,23,24],pcolor:6,pcolormesh:6,pd:[0,4,5,6,7,9,11,23,24],pde:2,pdf:[0,3,4,5,6,9,22,23],pedagog:[0,23,24],penal:[6,24],penalti:[6,13,24],penros:[5,6],pentagon:13,peopl:[0,1,9,13,17,24],per:[0,1,6,19,21,23,24],percentag:[0,10,11,21,24],perceptron:[0,1,7,23],peregrin:23,perfect:[0,1,13,23],perfectli:[4,6],perform:[0,2,3,4,5,6,8,10,11,12,13,14,15,16,17,18,20,23,24],performac:4,perhap:[0,5,13,23,24],perimet:1,period:[1,4,20],permut:11,persist:13,person:[5,6,7,19,21,23,24],perspect:22,pertin:12,petal:[8,9],peter:22,petersen:[],phantom:20,phase:[6,12],phenomena:20,phi:8,phi_k:8,philip:[],philosophi:13,phone:[21,23],photo:4,phrase:[0,23],physic:[0,1,4,7,12,13,20,21,22,23,24],pi:[2,3,5,6,7,9,12,13,20],pick:[1,9,10,11,13,14],pickl:1,pictur:[0,23],pie:[17,23],piec:[11,14],pillow:[0,15,17,23],pinv:[5,6,13,24],pip3:[0,1,15,23],pip:[0,1,15,17,23],pipelin:[0,6,8,10,24],pippin:23,pit:4,pitfal:[6,24],pitt:12,pixel:[1,3,4],pixel_height:[1,3],pixel_width:[1,3],place:[0,4,6,8,13,18,23],plai:[0,3,4,5,6,8,11,17,23,24],plain:[8,10,12,13,14],plan:[6,9,21,22,23],plane:[8,9],plateau:5,platform:[17,23],plausibl:12,pleas:[6,7,11,13,21,23,24],plenti:1,plethora:[3,12],plot:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,23,24],plot_confusion_matrix:[7,10],plot_count:6,plot_cumulative_gain:[7,10],plot_data:1,plot_dataset:8,plot_decision_boundari:[9,10],plot_import:10,plot_max:4,plot_min:4,plot_model:4,plot_numb:4,plot_predict:8,plot_regression_predict:9,plot_result:4,plot_roc:[7,10],plot_surfac:[2,6,13],plot_train:9,plot_tre:[9,10],plt:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],plu:[0,3,5,7,23,24],pm:8,pmatrix:2,pml:22,pn:3,png:[0,4,6,7,9,23,24],point:[0,1,2,3,5,6,7,8,9,10,11,13,14,15,16,18,20,21,23,24],point_1:4,point_2:4,poisson:[17,20,23],poli:[6,8],poly100_kernel_svm_clf:8,poly3:0,poly3_plot:0,poly3dcollect:13,poly_featur:[8,9],poly_features10:9,poly_fit10:9,poly_fit:9,poly_kernel_svm_clf:8,polydegre:[0,5,6,10,24],polygon:13,polym:12,polynomi:[0,5,6,7,8,9,10,11,15,16,23,24],polynomial_featur:6,polynomial_svm_clf:8,polynomialfeatur:[0,6,8,9,24],polytrop:[0,6,23],pool:3,pool_siz:3,poor:[1,13],poorli:[0,24],pop:2,popul:[0,5,23,24],popular:[0,1,3,6,7,8,9,11,12,15,17,18,20,23,24],popularli:[0,23],portabl:10,portion:[11,13],pose:[0,4,5,6,11,20,23],posit:[0,1,2,3,5,7,8,10,11,13,14,18,20,23,24],possibl:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,15,17,18,20,21,23,24],posterior:5,postpon:[0,23,24],postul:5,potenti:[0,3,5,6,12,13,23,24],potr:[],potrf:[],pott:12,power:[0,1,5,6,8,9,12,13,23,24],pp:[5,6],practic:[0,5,6,7,8,20,24],practition:[0,1,3,23],pre:23,preced:[1,11,12,20],preceed:4,preceq:8,precis:[0,2,5,11,13,18,20,23,24],pred:6,predicit:0,predict:[0,1,5,6,7,8,9,10,15,16,17,22,23,24],predict_prob:1,predict_proba:[7,10],predictor:[0,5,6,7,9,10,11,23,24],prefer:[0,1,6,8,9,11,13,15,17,23],prepar:[0,6,18,23,24],preprocess:[0,4,6,7,8,9,10,11],prerequisit:0,presenc:13,present:[0,5,6,7,9,12,13,18,20,23,24],preserv:[3,11,18],press:[13,22],pretrain:[1,4],pretti:[0,4,8,9,15,17,23],prev_centroid:14,prevent:[13,20],previou:[0,1,2,3,4,5,6,8,10,11,12,13,18,20,24],previous:[2,3,9,10,20],price:[0,4,9,13,24],primal:8,primari:[0,7,23],prime:20,primit:2,princip:[0,5,7,17,23,24],principl:[0,6,7,8,14,23],print:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,18,20,23,24],print_funct:[8,9],printout:[0,23],prior:[0,5,6,23,24],privat:[0,23],prob:[1,20],probabilist:[0,22,23,24],probabl:[0,1,3,4,6,7,10,13,17,23,24],problem:[0,3,4,5,6,7,8,9,10,11,12,16,17,18,20],probml:22,proce:[0,5,6,7,8,9,10,11,13,18,23,24],procedur:[2,4,5,6,8,10,11,13,24],proceed:18,process:[0,2,4,6,9,10,12,13,15,17,18,20,22,23],prod:22,prod_:[1,5,7],produc:[0,3,4,5,6,9,10,11,12,13,17,18,20,23,24],product:[0,1,3,5,6,7,8,12,13,16,17,18,23,24],profess:[0,23],program:[0,1,4,5,6,8,12,14,15,16,17,18,19,20,21,23,24],programm:18,progress:[1,4,14],prohibit:6,project1:6,project:[0,1,2,3,5,11,13,17,19,21,24],project_root_dir:[0,6,7,9,23,24],promin:12,promis:8,promot:[21,23],prone:9,pronounc:[13,17,23],proof:[0,11,12,13,23],propag:[2,3,13],proper:[0,2,6,7,23],properli:[1,6,8,10,13],properti:[0,1,3,12,13,16,18,23],proport:[0,1,5,9,11,13,16,20,23,24],propos:[1,4,6,10,23],propto:[5,13],protect:[],protobuf:[3,4,14],proton:[0,23],prove:[3,13],provid:[0,1,3,4,5,6,8,9,10,12,13,15,17,18,20,23,24],proxi:[1,13],prune:9,pseudo:[18,20],pseudoinv:5,pseudoinvers:[5,6],pseudorandom:[6,20],psycholog:[0,23],pt:13,ptratio:24,punish:[0,1,23],pure:[3,9,20],purest:9,puriti:9,purpos:[0,3,10,12,14,23,24],put:[1,23],putarow:[],putboundslic:[],putclist:[],putobjsens:[],putqobj:[],py:[0,1,2,3,4,5,6,7,8,11,13,14,23,24],pycod:23,pydata:17,pydot:9,pyhton2:23,pylab:[0,7,23],pylint:[3,4,14],pypi:17,pyplot:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],pythagora:5,python2:[0,15,23],python3:[0,1,2,3,4,6,7,8,11,13,14,15,17,23,24],python:[1,2,3,4,5,6,8,11,12,13,14,16,20,24],pytorch:[0,17,23],pywrap_tf:[],q:[5,6,8,11,20,24],qn_bavhmd8u:[],qp:8,qquad:[2,11,13,18],qr:[5,6,18,24],quad:[1,13,18],quadrat:[0,8,9,13,15,16,23],qualit:[4,9,20],qualiti:[0,9,15,16,17,23,24],quantifi:1,quantil:10,quantit:[0,6,9,23],quantiti:[0,2,5,6,7,9,10,11,12,14,16,18,20,23,24],quantum:[4,12,22,23],quartil:[0,24],quench:5,queri:9,question:[0,5,6,9,11,12,13,21,23,24],qugan:4,quick:[4,20],quick_execut:[],quickli:[1,3,9,11,13],quit:[1,5,6,9,10,12,24],quot:[4,23],r2:[0,5,6,23,24],r2_score:[0,23,24],r2score:[0,23],r:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,24],r_1:9,r_2:9,r_j:9,r_m:9,rad:[0,24],radial:[0,8,12,24],radioact:20,radiu:[0,1,24],rag:2,rain:9,rais:[0,2,13,23],ramp:1,ran0:20,ran1:20,ran2:20,ran3:20,rand:[0,4,5,6,9,10,13,15,16,18,23,24],rand_max:[],randint:[6,9,13],randn:[0,1,2,5,6,9,11,13,15,16,23,24],random:[0,1,2,3,4,5,6,8,9,13,14,15,16,17,18,23,24],random_devic:[],random_forest_model:10,random_index:13,random_indic:[1,3],random_st:[0,7,8,9,10,11,24],randomforestclassifi:10,randomli:[1,6,9,13,14],randomnumbergener:[],rang:[0,1,2,3,4,5,6,7,9,10,11,12,13,14,18,20,23,24],rangl:[0,6,11,20,23,24],rangle_x:20,rank:[5,24],rankdir:4,raphson:[1,8,13],rapidli:[0,23],rare:[1,13,23],rate:[0,1,2,3,4,8,9,10,12,13,24],rather:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,18,20,23,24],ratio:[4,7,9,10,11],rational:[0,23],ravel:[5,6,7,8,9,10,11,13,18,24],raw:3,raw_df:24,rbahrf:[],rbf:[8,11,12],rbf_kernel_svm_clf:8,rbf_pca:11,rc:[0,20,24],rcond:[0,23,24],rcparam:[0,1,3,7,8,9,10,20,23],rd:[],rdbj50lv3go:[],re:[2,4,13],reach:[1,4,5,6,7,9,10,11,12,13,14],read:[0,2,3,4,5,6,7,8,11,12,16,18,19,20,22],read_csv:[0,6,7,9,23,24],read_fwf:[0,23],reader:[0,6,18,20,23,24],readi:[0,1,5,6,8,10,11,12,18,23],readili:1,readthedoc:17,real:[0,1,2,4,7,10,11,12,13,18,24],real_loss:4,real_output:4,realist:8,realiti:20,realiz:[1,12],realli:[0,1,23],rearrang:13,reason:[0,1,3,4,10,13,22,23],reassign:1,rebuild:[],recal:[5,6,9,10,11,12,18,20,23,24],recalcul:[],recast:3,receiv:[1,3,10,12,20],recent:[0,2,3,4,6,8,9,10,13,14,15,22,23],recept:[3,12],receptive_field:3,recip:[0,6,7,18,23,24],reciproc:5,recogn:[0,4,5,10,23],recognit:[0,1,3,12,19,22,23],recommend:[0,2,3,4,5,6,8,13,15,17,18,22],reconsid:9,reconstruct:11,record:[10,19,21,23],recreat:[],rectangl:[9,13],rectangular:[5,24],rectifi:[1,3,12],recur:[0,17,23],recurr:[0,1,17,23],recurs:[9,17,18,23],recycl:[],red:[0,3,4,6,8,9],redefin:[0,10,23],reduc:[1,3,5,6,9,10,11,13,23],reduct:[0,10,11,17,20,23,24],refer:[0,1,2,3,5,6,7,11,12,13,14,18,22,23,24],referenc:2,refin:12,refit:6,reflect:[0,1,4,5,20,23],refresh:[17,23],refreshprogrammingskil:23,reg:[10,11],regard:[1,9,13],regardless:12,region:[3,4,6,9,12],regist:[6,20],reglasso:5,regr_1:[0,9],regr_2:[0,9],regr_3:[0,9],regress:[1,8,11,12,15,16,17,18],regressor:[0,7,10,23],regridg:[0,5,6],regular:[0,3,4,5,6,7,9,13,21,23,24],regularis:6,reilli:[0,15,22,23],reinforc:[0,8,17,23],reiter:1,reject:7,rel:[0,4,6,7,9,12,13,20,23,24],relat:[0,1,3,4,5,11,13,14,18,20,23],relationship:[0,4,9,23],relativeerror:[0,23,24],releas:[1,6,13,17,23],relev:[0,1,5,7,11,15,17,20,23],reli:[0,6,8,23],reliabl:[7,20],relu:[3,4],remain:[1,2,4,6,12,18,20,24],remaind:20,reman:2,remark:1,rememb:[0,8,13,18,23],remind:[0,5,11,13,18,20,24],remov:[0,4,5,6,23,24],render:[0,23,24],reorder:[5,7,24],reorgan:[0,23],repeat:[0,1,3,4,5,6,9,10,11,13,14,18,20,23],repeated:23,repeatedli:[0,6,10,13],repet:3,repetit:[6,23,24],rephras:13,replac:[0,1,3,4,5,6,10,12,14,15,16,17,23,24],replica:6,report:23,repositori:[0,4,23,24],repres:[0,1,2,3,4,5,6,7,8,9,10,12,13,20,23,24],represent:[0,1,3,6,20,23],representd:3,reproduc:[0,5,6,9,12,15,16,17,20,23,24],repuls:[0,23],request:[0,13,23],requir:[0,1,3,4,5,6,8,9,11,12,13,18,23,24],res1:2,res2:2,res3:2,res_analyt:2,res_analytical1:2,res_analytical2:2,res_analytical3:2,resaml:6,resampl:[0,7,10,17,23,24],rescal:[0,11,12,24],rescu:5,reseach:6,research:[0,4,13,17,22,23],resembl:[6,20],reserv:[1,5,6,20],reset:[],reshap:[0,1,2,3,4,6,8,9,10,15,16,18,23,24],residenti:[0,24],residu:[0,5,13,23],resiz:[5,24],resourc:23,respect:[0,1,2,3,5,6,7,8,10,11,12,13,14,16,20,23,24],respond:12,respons:[0,7,9,12,23,24],rest:[0,5,24],restat:[0,12,23],restor:4,restored_discrimin:4,restored_gener:4,restrict:[0,3,9,12,23],result:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,23],result_typ:[],retail:[0,24],retain:[5,6,24],return_data:14,return_kwarg:[],return_sequ:4,return_x_i:9,reus:[1,3,6],reveal:[0,12,23],revers:[1,18],review:[17,18],revisit:14,revolut:23,reward:[0,4,23],rewrit:[0,3,5,6,7,8,10,11,12,13,18,20],rewritten:[2,6,8,10,20],rewrot:13,rf:10,rgb:3,rgoj5yh7evk:17,rh:6,rho:[0,10,13,23],rho_1:10,rho_2:10,rho_m:10,rich:[0,23],ride:9,rideclass:9,ridedata:9,ridg:[7,11,13,17,23],ridge_sk:6,ridgebeta:5,right:[0,1,2,3,5,6,7,8,9,10,12,13,14,16,18,20,23,24],right_sid:2,rightarrow:[0,1,5,6,8,11,12,13,20,23,24],rigor:[0,23],ring:6,rise:[0,23],risk:[0,13,15,16,23],rival:4,river:[0,24],rm:[0,20,24],rmse:[0,24],rmsporp:13,rmsprop:[1,3,4,13],rnd_clf:10,rng:20,rnn1:4,rnn2:4,rnn:[4,12],rnn_2layer:4,rnn_input:4,rnn_output:4,rnn_train:4,rntrick1:20,rntrick2:20,rntrick3:20,rntrick4:20,ro:[0,13,23],robert:22,robust:[0,23],robustscal:[0,24],roc:[7,10],role:[0,2,5,6,8,17,23,24],roll:6,room:[0,21,23,24],root:[0,5,9,13,20,23,24],rot:23,rotat:[1,8,9,10],rotation_matrix:9,roughli:[1,3],round:[0,7,9,13,24],routin:[13,18,23],row:[0,1,2,5,6,7,9,11,18,23,24],rr:[5,24],rrr:[5,24],rthe:[],rug:13,rule:[0,1,5,6,13,23,24],run:[0,1,2,4,5,6,8,9,11,13,15,17,23,24],runtim:[1,6,14],runtimewarn:[1,6],russel:23,rust:[0,15,17,18,23],rustad:[],rvert:1,rvert_2:1,s:[0,1,2,3,4,5,6,7,9,11,12,13,16,17,18,20,23,24],s_1:6,s_:[3,6],s_i:[6,7],s_j:6,s_k:6,saddl:13,safe:[],sai:[0,1,2,3,4,5,6,7,8,9,10,11,12,18,20,23,24],said:[6,9,13],sake:[0,5,7,11,23,24],sale:[0,23],sam:23,same:[0,1,2,3,4,5,6,8,9,11,12,14,18,20,23,24],samm:10,sampl:[0,1,2,3,4,5,6,7,8,9,10,13,14,15,16,17,18,20,23,24],sample_vari:14,sample_weight:[],sampleexptvari:20,samwis:23,sastri:11,satisfactori:[0,23],satisfi:[1,2,3,6,8,13,18,20],satur:[1,6],save:[0,4,6,7,9,13,23,24],save_fig:[0,6,7,9,10,23,24],savefig:[0,4,6,7,9,20,23,24],savetxt:4,saw:[5,24],scalabl:10,scalar:[2,5,6,10,13,24],scale:[0,1,3,5,6,7,8,9,10,11,12,13,15,16,17,18,21,23],scale_mean:4,scale_std:4,scalei:[],scaler:[0,7,8,9,10,11,24],scalex:[],scan:[5,7],scari:5,scatter:[0,1,6,7,8,9,14,23,24],scenario:[6,13],schedul:[13,21],scheme:[1,13],schigsog2l:[],schrage:20,scienc:[0,1,10,12,13,17,19,20,21,22,24],scientif:[0,15,17,23],scientist:[0,23],scikit:[3,5,6,7,8,9,10,13,17,18,19,22],scikit_learn:[0,16],scikitlearn:23,scikitplot:[7,10],scipi:[0,3,5,6,13,15,17,18,23,24],scl:6,score:[0,1,3,6,7,9,10,11,15,16,21,23,24],scores_kfold:6,scratch:[1,13],sdg:13,sdt_bfla8ua:[],seaborn:[0,1,3,6,7,23,24],seamless:[0,15,17,23],search:[0,1,3,5,9,13,23],sec:6,second:[0,2,3,4,5,6,7,8,9,11,12,14,15,16,17,18,20,21,23,24],secondeigvector:11,secondli:12,section:[4,11,18,20,24],sector:[0,23],see:[0,1,2,3,4,5,6,7,8,10,11,12,13,15,16,17,18,20,23,24],seed:[0,1,2,3,4,5,6,8,9,11,13,14,15,16,20,23,24],seed_imag:4,seek:[1,2,8],seem:[1,3,4],seemingli:[0,23],seen:[0,1,3,5,10,12,20,23],segment:13,seismic:6,seldomli:[0,23],select:[1,5,6,8,9,10,11,19,20,21,22,23,24],self:[1,5,24],sell:4,semest:[7,19],semi:[8,13],semilogx:6,send:[5,12,13,21,23],senior:[19,21],sens:[0,4,6,8,23],sensibl:3,sensit:[0,5,6,9,13,23,24],sent:2,sentenc:[4,12],sep:24,separ:[0,1,2,4,6,8,9,12,14,15,17,20,23],septemb:[16,23,24],sequenc:[2,3,4,7,9,10,12,13,17,18,20,23],sequenti:[1,3,4,10,12,20],seri:[0,1,2,3,4,5,6,10,11,12,13,18,23,24],serif:[0,7,20,23],serv:[0,1,2,3,5,7,13,22,23,24],session:[1,19,21,23],set:[1,4,5,6,7,8,10,11,13,14,16,17,18,20,21],set_major_formatt:6,set_major_loc:6,set_stream:[],set_tick:[1,8],set_ticklabel:1,set_titl:[0,1,2,3,7,12,14,23],set_xlabel:[0,1,2,3,7,12,23],set_xlim:[7,12],set_xticklabel:1,set_ylabel:[0,1,2,3,7,23],set_ylim:[7,12],set_ytick:7,set_yticklabel:[1,6],set_zlim:6,seth:4,setiosflag:[],setminu:6,setosa:[8,9],setosa_or_versicolor:8,setp:6,setprecis:[],setse:[],setup:[1,4,6,8,17,23,24],setw:[],sever:[0,3,5,6,7,8,9,11,12,13,17,18,20,23,24],sgd:[1,3],sgd_clf:8,sgdclassifi:8,sgdreg:13,sgdregressor:13,sgn:[5,24],sh:[],shallow:13,shape:[0,1,2,3,4,5,6,7,8,9,10,11,13,14,15,16,18,23,24],shape_bas:2,share:[1,3,23],she:7,shift:[1,6,12,20],ship:3,shire:23,shortcom:13,shorten:4,shorter:20,shorthand:23,shortli:[18,23],should:[0,2,3,5,6,8,9,11,12,13,15,16,18,20,23,24],should_sync:[],show:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,20,23,24],show_shap:4,shown:[0,4,5,7,8,11,12,13,18,24],showpoint:[],shrink:[3,5,6,8,11,24],shrinkag:[5,6,24],shrunk:11,shuffl:[0,1,4,6,13,24],side:[0,2,5,8,12,13,18,23],sigh:[17,23],sigma0:20,sigma1:20,sigma2:20,sigma:[0,1,5,6,7,10,11,12,13,18,20,23,24],sigma_0:[5,24],sigma_1:[5,24],sigma_2:[5,24],sigma_:[5,18,23,24],sigma_fn:[7,12],sigma_i:[0,5,23,24],sigma_j:[5,24],sigma_m:[6,20],sigma_n:[11,20],sigma_t:13,sigma_x:20,sigmoid:[1,2,4,7,8,10,12],sigmundson:[6,24],sign:[1,2,7,8,10,20,21],signal:[1,3,10,12],signatur:[],signifi:4,signific:1,significantli:[1,13,20],sigurd:[],sim:[4,5,6,13,20],similar:[0,1,2,3,4,5,6,7,8,9,10,11,14,17,18,23,24],similarli:[0,1,3,5,8,10,13,20,23,24],simpl:[1,2,3,5,6,7,8,10,11,12,14,15,16,17,18,20],simple_rnn:[],simplepredict:10,simpler:[0,1,5,6,7,13,16,17,23],simplernn:4,simplest:[0,1,3,4,9,10,12,14,23],simpletre:10,simpli:[0,1,2,4,5,6,8,9,10,11,12,15,17,18,20,23,24],simplic:[2,5,6,7,8,9,10,11,12,14,24],simplicti:[5,24],simplifi:[0,6,9,15,17,23,24],simplist:[3,6,20],simul:6,simultan:6,sin:[0,1,2,3,4,9,12,13,18,23],sinc:[0,1,2,3,5,6,7,8,9,10,11,13,18,20,22,23,24],sine:[3,12],singl:[0,1,2,3,5,6,7,8,9,12,13,18,20,23,24],singular:[0,6,13,18,23],sinusoid:3,site:[0,1,2,3,4,6,7,8,11,13,14,19,23,24],situat:[0,4,5,7,13,20,23,24],six:[3,4,14,20],size:[0,1,2,3,4,5,6,8,9,10,11,13,18,20,23],sketch:10,ski:9,skill:[0,23],skip:11,skiprow:24,skl:[0,6,23,24],sklearn:[0,1,3,5,6,7,8,9,10,11,13,14,23,24],skplt:[7,10],sl:6,slack:8,slice:[2,18,23],slide:[0,3,15,16,20,23,24],slight:[6,13],slightli:[1,2,3,5,6,7,10,20,24],slope:[8,11,12],slow:[0,2,8,13,24],slower:[5,18,23,24],slowest:18,slowli:12,slp:1,small:[0,1,2,3,5,6,8,9,10,11,12,13,17,18,20,23,24],smaller:[0,1,2,5,6,8,9,11,13,20,23,24],smallest:[0,4,14,15,16,23],smallest_row_index:14,smooth:[0,3,6,13,23],sn:[0,1,3,6,7,23,24],sne:11,sneak:23,so:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18,20,21,23,24],soar:6,social:[0,23],societ:23,soft:[1,7,10,12],soften:8,softmax:[3,7],softwar:[0,8,15,17,18],sol:8,sole:[0,6,23],solid:[0,7,23],solitem:[],soltyp:[],solut:[0,1,2,3,5,6,8,10,11,13,18,20,23,24],solutionsummari:[],soluton:2,solv:[0,1,3,5,6,8,10,11,12,13,18,23,24],solve_expdec:2,solve_ode_deep_neural_network:2,solve_ode_neural_network:2,solve_pde_deep_neural_network:2,solveod:2,solveode_popul:2,solver:[2,7,8,9,10,11,18],some:[0,1,2,3,4,5,6,7,8,9,10,11,12,14,20],some_model:[6,24],somehow:4,someth:[0,1,3,4,7,9,11,20,23,24],sometim:[0,1,11,12,13,14,23,24],soon:[18,21],sophist:[0,23],sopt:13,sort:[5,6,9,11,20,24],sound:[3,5],sourc:[0,1,3,6,15,17,18,20,23,24],space:[0,1,4,5,8,9,11,12,13,14,20,24],span:[0,3,5,9,11,18,23,24],spare:1,spars:[3,6,18,23],sparse_mtx:[18,23],sparsecategoricalcrossentropi:3,sparsiti:10,spatial:[1,2,3,12],spdiag:[],speak:20,special:[6,7,10,12,13,18,20,23,24],specif:[0,1,2,3,4,5,6,7,8,9,11,12,16,17,18,20,22,23,24],specifi:[0,3,5,6,7,9,11,13,14,20,23],specifici:[0,10,23],spectacular:3,spectral:1,speech:[0,1,3,4,12,23],speed:[1,2,4,13],spend:20,sphere:[0,24],spin:6,spite:[0,23],spline:8,split:[1,3,4,5,6,8,9,10,11,14,20],splite:0,splitter:[1,10],spmatrix:[],spontan:20,spot:3,spread:[0,11,20,23,24],springer:[22,23],spuriou:13,sqquar:[],sqrsignal:3,sqrt:[0,3,4,5,6,8,10,11,13,20,24],squar:[1,2,3,4,7,8,9,11,13,14,15,16,17,18,20],squarederror:10,squaredeuclidean:14,squash:12,squeez:[],srand:[],srtm:6,srtm_data_norway_1:6,sse4:[],stabil:5,stabl:[0,4,5,6,7,9,11,17,23,24],stack:[2,3,4],stacklevel:[0,23],stage:[5,13],stai:[0,2,4,5,11,23,24],stand:[0,5,9,12,23,24],standadscal:24,standard:[0,1,4,5,6,7,8,10,12,15,16,18,20,23],standard_basi:2,standardscal:[0,6,7,8,9,10,11,24],stanford:13,start:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,18,20,21,23,24],start_box:[2,13],start_nod:[2,13],start_tim:14,startpoint:[],stat:[6,24],state:[1,2,4,5,6,7,8,10,11,12,13,17,20,24],statement:[0,7,18],statist:[0,1,3,4,7,9,10,11,12,13,14,18,19,22,24],statu:[0,7,11,23,24],stavang:6,std:[0,4,6,23,24],stdev:[],stdout:[],steep:13,step:[0,1,2,4,6,7,9,10,11,12,13,14,18,23],step_fn:[7,12],step_length:13,steps_list:9,steps_per_epoch:[],stereo:3,stian:[],still:[0,2,3,5,6,11,13,20],stimuli:12,stk2100:[22,23],stk3155:[15,19,21],stk4021:[22,23],stk4051:[22,23],stk4155:[19,21],stk5000:22,stk:[22,23],stochast:[0,1,5,6,8,11,12,15,16,23],stock:4,stoke:12,stone:[0,7,23],stop:[1,4,7,9,11,13,14],storag:[5,24],store:[0,1,2,3,6,11,13,20,23],storehaug:[21,23],str:[1,3,4],straight:[0,6,8,13,23,24],straightforward:[0,2,3,5,6,8,9,10,13,18,23,24],strategi:[0,1,9,23],stratifi:6,streamtyp:[],strength:[0,5,14,24],stretch:11,strict:[8,13],strictli:[8,13],stride:[4,18],strike:6,string:1,stroke:7,strong:[3,6,9,10,12,18,20],strongli:[0,8,17,18,24],stronli:[0,24],structur:[0,1,2,3,6,9,10,12,17,23],stuck:[1,13],student:[0,19,21,22,23],studi:[0,3,4,5,6,7,8,11,12,13,17,22,23,24],studier:22,style:[0,7,9,18,23],sub:[9,12],subarg:[2,13],subdivid:[0,18,23],subfield:[0,23],subject:[6,8,20],submit:23,subplot:[0,1,3,4,6,7,8,9,10,13,14,23,24],subplots_adjust:[8,20],subprogram:[18,23],subract:[0,24],subroutin:[0,23],subscript:1,subsequ:[1,4,5,6,12,18,20,24],subset:[1,6,9,12,13,17,23],subspac:[0,8,11,24],substanti:[9,10],substep:11,substitut:[3,6,12,18],subsubset:9,subtask:6,subtl:1,subtract:[0,4,5,6,11,13,18,20],subtre:9,subval:[2,13],succeed:[0,4,23],success:[3,7,9,13,20],successfulli:[4,9],sucess:[],sudo:[0,15,17,23],suffer:[0,1,2,5,10,23,24],suffici:[1,6,8,11,13],suggest:[1,13,22],suit:[8,12],suitabl:[0,20,24],sum:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],sum_:[0,1,2,3,5,6,7,8,9,10,11,12,13,14,15,16,18,20,23,24],sum_i:[0,2,5,6,8,13,24],sum_j:6,sum_ja_:0,sum_k:[6,8,12,18],sum_logist:13,sum_m:3,sum_n:3,sum_nx_:3,summar:[5,6,9],summari:[1,3,4,10,19],summat:[0,3,16,24],sunni:9,superconduct:24,superfici:3,superscript:[1,12],supervis:[0,5,6,7,9,12,17,23,24],supplement:7,support:[0,1,9,10,11,13,17,23,24],suppos:[0,5,6,7,8,10,11,12,13,18,23,24],suppress:[5,13],sure:[0,1,4,6],surf:6,surfac:[0,6,23],surpass:6,surpris:[0,23],surround:[3,17],survei:[0,5,6,23,24],suyrzm0:[],svc:[8,9,10],svd:[0,6,11,23],svdinv:5,svm:[8,9,10,11],svm_clf:[8,10],swap:[],swapax:[],swath:[5,24],sy:[3,4,13,14],symbol:[1,5,11,13,17,20,23,24],symmeteri:1,symmetr:[0,5,8,11,12,13,18,23,24],symmetri:6,sympi:[0,15,17,23],synonim:20,syntax:[1,13],syntaxerror:1,syrk:[],system:[0,1,3,4,6,7,9,10,12,13,15,17,18,23],systemat:[4,6],t0:[3,6,13],t1:[2,13],t2:2,t3:2,t:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,23],t_0:[2,9,13],t_1:13,t_:2,t_b:10,t_i:[1,2,5,12,24],t_j:12,t_k:9,tabl:[9,20,21,23],tabul:[0,23],tabular:23,tackl:4,tag:[2,3,4,5,6,7,12,13,14,18,20,24],taht:[0,23],tail:20,tailor:[2,8,11,23],taiwan:[0,23],take:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,17,18,20,23,24],taken:[0,1,3,6,10,13,18,23],tan:[2,3],tangent:[1,4,12,13],tanh:[1,4,7,8,12],tape:[],target:[0,1,3,4,5,6,7,8,9,10,11,12,23,24],target_nam:9,task:[0,1,3,6,9,11,12,14,23],tau:[3,5,20],taught:23,tax:[0,24],taylor:[2,13],taylornr:13,tc:8,td:[1,6,13,23],teach:23,team:1,teaser:0,technic:[0,5,6,13,15,23,24],techniqu:[0,1,8,10,13,17,20,22,23,24],technolog:[0,1,23],tek5040:[],tell:[0,4,6,10,11,13,20],temp1:1,temp2:1,temp:1,temperatur:[0,9,23],temporarili:1,ten:[3,23],tend:[3,5,6,8,9,10,12,13,14,24],tendenc:[0,23],tension:6,tensor:3,tensorflow:[0,2,4,8,14,15,17,18,19,22,23,24],term1:[5,6,11,24],term2:[5,6,11,24],term3:[5,6,11,24],term4:[5,6,11,24],term:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,20,23,24],termin:[0,4,5,9,10,13,15,23,24],terrain1:6,terrain:6,test:[3,4,5,6,7,8,9,10,13,18,20],test_acc:3,test_accuraci:[1,3],test_error:6,test_imag:[3,4],test_ind:6,test_input:4,test_label:[3,4],test_loss:3,test_pr:1,test_predict:1,test_rnn:4,test_scor:[7,10],test_siz:[0,1,3,5,6,10,23,24],test_split:9,testerror:[0,6,24],testi:4,testpredict:4,testx:4,text:[0,1,2,4,5,8,9,11,13,15,18,20,22,23,24],textbook:24,textual:9,textur:1,tf:[1,3,4,13,14],tfe_py_execut:[],th:[0,1,2,5,6,7,9,12,13,14,15,16,18,20,23,24],than:[0,1,2,3,4,5,6,7,9,10,11,12,13,17,20,23,24],thank:[4,6,24],theano:[1,17,23],thei:[0,1,2,3,4,5,6,7,8,9,11,12,13,18,20,24],them:[0,1,3,4,6,8,9,10,11,12,13,18,23,24],theme:[0,23],themselv:[0,20,23],thenc:6,theorem:[2,6,7,24],theoret:[0,4,10,23],theori:[0,1,3,8,9,12,13,17,22,23],thereaft:[0,5,6,11,12,15,16,18,23],therebi:[0,5,7,11,23,24],therefor:[0,1,2,3,4,6,7,8,11,13,20,23,24],therein:11,thereof:[0,6,13,23],theta:[1,4,13,20],theta_:[1,13],theta_i:1,theta_k:[],theta_linreg:13,theta_t:13,thi:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,22,24],thing:[0,1,2,4,5,7,9,20,23],think:[0,1,3,4,6,9,12,13,14,20,23],third:[0,3,6,13,21,23],thirti:7,thorughout:23,those:[0,3,5,6,8,9,10,11,18,19,23,24],though:[1,2,3,4,13,18,20],thought:[6,14,20],thousand:[0,1,23,24],thread:[],three:[0,1,3,5,6,8,9,12,15,18,19,20,21,23,24],threshold:[1,3,9,10,11,12,13],through:[0,1,2,3,4,5,6,8,11,12,13,14,17,18,20,23,24],throughout:[0,4,5,14,17,18,20,23],thu:[0,1,2,5,6,7,8,10,11,12,13,21,23,24],thumb:[0,6,23,24],thursdai:[21,23],tibshirani:[6,19,22,23,24],tick_param:6,ticker:[6,13,20],tif:6,tight_layout:[1,7],tightli:11,tild:[0,5,6,7,11,15,16,20,23,24],till:[0,4,7,8,9,10,12,18,23,24],time:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,17,18,20,23,24],timefunct:[],timeit:4,timer:4,tini:1,tip:3,titl:[0,1,2,3,4,6,7,8,9,10,13,20,23,24],tmp:13,tmp_log:[],tn:[2,3,7],to_categor:[1,3,4],to_categorical_numpi:1,to_numer:[0,6,23],to_str:[],todai:3,togeth:[0,3,6,8,11,13,17,23,24],toi:14,told:13,toler:[2,6,14],tolist:4,tomographi:12,too:[0,2,4,5,6,9,11,13,15,20,22,23,24],took:[8,23],tool:[0,1,3,6,13,17,24],toolbox:8,top:[0,3,4,5,6,9,10,14,17,23],top_node_typ:2,top_trac:2,topic:[0,5,6,7,8,17,24],topolog:[1,3,12],toposort:2,torkjellsdatt:[21,23],toss:[10,20],total:[0,1,2,3,4,6,7,8,10,11,12,13,14,15,16,18,20,21,23,24],total_loss:4,totalclustervari:14,totalscatt:14,totalvari:[],toward:[1,2,7,12,13],town:[0,24],tp:[4,7],tpng:9,tpu:[13,17,23],tqdm:6,tr:24,trace:[2,13],trace_stack:[2,13],traceback:[0,2,3,4,6,8,9,10,13,14,15,23],traceback_util:[],tracer:[2,13],track:[3,13,14,18],tract:[0,24],tractabl:[0,23,24],trade:[5,9],tradeoff:[0,5,23,24],tradit:[0,1,4,6,23],train:[2,3,5,6,8,9,10,11,12,13],train_accuraci:[0,1,3,23],train_dataset:4,train_end:[0,1,24],train_error:6,train_funct:[],train_imag:[3,4],train_ind:6,train_label:[3,4],train_pr:1,train_siz:[0,1,3,24],train_step:4,train_test_split:[0,1,3,5,6,7,9,10,11,23,24],train_test_split_numpi:[0,1,24],trainabl:[],trainable_vari:4,trained_model:[6,24],trainerror:[0,24],traini:4,training_checkpoint:4,training_dataset:4,training_gradi:13,training_gradient_fun:[],training_loss:[],trainingerror:6,trainpredict:4,trainscor:4,trainx:4,trait:[0,23],trajectori:4,tran:[],transfer:9,transform:[0,5,6,7,8,9,10,11,12,13,17,18,23,24],transit:[6,12],translat:[1,4,6,10,24],transpos:[1,5,11,18,24],travers:[0,5],treat:[0,1,3,6,12,13,20,23,24],tree:[0,1,6,17,23],tree_clf:[9,10],tree_clf_:9,tree_clf_sr:9,tree_reg1:9,tree_reg2:9,tree_reg:9,trend:20,treue:7,trevor:22,tri:[2,3,4,9,13],triain:0,trial:[0,2,4,6,13,20,23],triangl:13,triangular:18,trick:[3,4,8,11,13,20],trickier:20,tridiagon:18,trillion:17,trivial:[0,1,5,11,20,23],troubl:[0,8,12,24],truck:3,true_beta:[6,24],true_divid:1,true_fun:6,truli:23,tucker:8,tuesdai:[21,23],tumor:[7,9],tumour:7,tunabl:1,tune:[4,9,13,18,23],tup:[],tupl:[2,13],turn:[0,1,5,6,7,8,9,10,11,12,13,18,20,23,24],tutori:[1,4],tv:2,tveito:2,tweak:[1,4,10,20],twice:13,twist:11,twister:[],two:[0,1,2,4,5,6,7,9,10,11,12,13,14,15,16,18,19,20,22,23],tx:13,tx_1:13,txt:4,ty:13,type:[0,1,3,6,8,10,13,16,18,20,24],typeerror:[2,13],typic:[0,1,2,3,4,5,7,9,10,12,13,20,23,24],u:[0,2,5,6,10,11,12,18,23,24],u_:18,u_i:12,u_m:10,ua:[0,23],ubuntu:[0,15,17,23],uci:[0,24],uio:[21,22],un:14,unari:[18,23],unary_f:[2,13],unary_oper:[2,13],unary_to_nari:[2,13],unbalanc:[6,9],unbias:[0,5,6,23],uncent:6,uncertainti:[0,5,23],uncertitud:20,unchang:[1,3],uncorrel:[10,20],undefin:[5,24],under:[0,1,5,6,10,13,15,16,17,23,24],underdetermin:[0,23],underfit:[1,6],underflowproblem:5,undergo:5,undergradu:[19,21],underli:[0,1,9,13,20,23],underset:[4,14],understand:[0,1,3,5,6,10,13,14,17,23,24],understood:[8,13],undesir:8,undetermin:[5,8],undo:4,unexpect:6,unexpected:20,unfair:[6,24],unfortun:[1,8,9,10],unicode_liter:[8,9],uniform:[0,1,5,6,11,13,15,16,20,23,24],uniform_real_distribut:[],uniformli:[13,20],unifrompdf:20,unimport:13,union:[5,6],uniqu:[0,2,6,13,14,18,23],unique_cluster_label:14,unit:[0,1,3,4,5,10,12,20,23,24],unitari:[5,6,18,24],unitarili:[18,23],uniti:20,univari:20,univers:[0,1,2,13,15,17,19,21,23,24],unix:1,unknow:[0,18,23],unknown:[0,1,3,4,5,6,8,10,13,16,18,23,24],unknowwn:12,unlabel:1,unless:[0,3,6,11,13,23,24],unlik:[1,3,8,13],unnecessarili:9,unord:3,unravel:1,unrol:[3,11],unseen:[0,7,9],unstabl:1,unsupervis:[0,1,4,12,17,23],unsymmetr:[18,23],until:[1,2,4,9,12,13,14],untouch:0,unusu:12,up:[1,3,4,5,6,8,10,11,13,14,16,17,18,20,21],updat:[1,2,10,12,13,14],uploa:23,upload:[17,22],upon:[0,1,6,7,11,18],upper:[0,8,9,16,18,24],uppercas:[18,23],upsampl:4,upscal:4,us:[4,5,6,8,9,10,11,12,14,15,16,18,19,20,22],usa:23,usag:[0,8,17,23,24],usd10000:[0,24],usd:[0,24],use_bia:4,use_multiprocess:[],usecol:[0,23],useless:1,user:[0,1,2,4,6,7,8,11,15,17,18,23,24],userwarn:6,usetex:20,usg:6,usr:20,usual:[0,3,4,7,12,13,14,23],ut:5,util:[0,1,3,4,6,7,10,14,23,24],ux:18,v0:20,v1:[3,4,14,20],v2:[3,4,14,20],v8ejbfezkui:[],v:[2,4,5,6,11,13,17,24],v_0:11,va:1,val:13,val_accuraci:3,val_loss:4,vale:2,valid:[0,1,4,7,9,10,13,17,20,23,24],validation_batch_s:[],validation_data:3,validation_freq:[],validation_split:4,validation_step:[],valu:[0,1,2,3,4,6,7,8,9,10,12,13,14,15,16,17,18,23],valuat:9,valueerror:[0,2,23],valy:4,van:[0,23,24],vandenbergh:[8,13],vandermond:[0,23],vanilla:[0,6,11,14,24],vanish:[1,4,13,20],var_x:20,varabl:8,varepsilon:[5,6],varepsilon_:[5,6],varepsilon_i:[5,6],vari:[0,1,3,5,6,10,15,16,23],variabl:[0,1,2,5,6,7,8,10,11,12,13,14,18,23,24],varianc:[0,1,5,7,9,10,11,13,14,17,18,20,23,24],variance_i:[5,11,24],variance_x:[5,11,24],variant:[0,1,6,8,12,13,23,24],variat:[3,4,11,23],varieti:[0,3,12,15,17,23],variou:[1,3,5,6,7,8,9,11,12,13,16,17,18,20,24],vartempvec:[],varvec:[],varydimens:4,vastli:3,vaue:1,vault:0,vdot:[2,13],vec:6,vector:[0,1,2,3,4,5,6,7,9,10,11,13,14,16,17],vector_mean:14,ventur:[0,8,15,17,23],verbos:[1,3,4],veri:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,20,22,23,24],verifi:[3,11,18,23],versatil:[8,23],versicolor:[8,9],version:[0,3,10,13,14,15,17,18,20,23,24],versu:1,vert:[0,1,5,6,7,8,9,11,13,23,24],vert_1:[5,6,24],vert_2:[5,6,11,24],via:[0,5,6,7,8,9,10,11,12,15,17,18,19,20,21,23,24],vidal:11,video:[0,1,12,17,19,21,23],view:[1,3,5,6,12,13,20,22,23],violat:8,virginica:9,viridi:[0,1,2,3,23],virtual:1,viscos:13,viscou:13,visibledeprecationwarn:2,vision:[0,3,23],visual:[0,3,11,12,15,17,23,24],visualis:1,viz:[6,8,20],vjiseqm2lci:[],vjp:[2,13],vjp_0:[],vjp_0_fun:[],vjp_1:[],vjp_1_fun:[],vjp_argnum:2,vjpfun:2,vjpmaker:[],vjpnode:[2,13],vmap:13,vmax:[1,6],vmc:[],vmin:[1,6],voic:3,volum:[0,3,23],vote:10,voting_clf:10,votingclassifi:10,votingsimpl:10,vrtx:[],vs:[0,4,6,24],vspace:[2,13],vstack:[5,11,18,20,23,24],vt:[5,24],w1:8,w2:[8,11],w3:8,w:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,18,20,23,24],w_1:[8,18],w_1x_1:8,w_1x_:8,w_2:[8,18],w_2x_2:8,w_2x_:8,w_3:18,w_4:18,w_:[1,12],w_hidden:2,w_i:[1,2,10],w_ix_i:12,w_j:18,w_m:18,w_output:2,w_px_:8,w_px_p:8,wa:[0,1,3,4,5,6,7,10,11,12,13,14,18,23,24],wai:[0,1,2,3,4,5,6,7,8,10,11,12,13,14,18,20,23,24],walk:9,walker:20,wang:[0,23],want:[0,1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,20,23,24],warn:[0,1,4,8,23,24],warrant:6,wast:3,watch:17,wave:3,wavelet:8,we:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,24],weak:[9,10,14],weather:[1,12],web:[17,19,21,23,24],webpag:23,websit:[6,18,19,23],wedg:[8,20],wednesdai:[21,23],wee:11,week:[0,5,6,7,19,21],weekli:[17,21,22,23],weight:[0,1,2,3,6,7,9,10,12,13,20,24],weigth:2,welcom:[8,17],well:[0,1,2,3,4,5,6,7,8,9,10,12,13,15,16,17,18,20,22,23,24],went:8,were:[0,1,3,4,5,6,7,8,10,11,12,14,20,23,24],wessel:[0,23,24],westbi:[],westby:[],what:[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20],whatev:3,when:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,16,18,20,23,24],whenev:[13,20],where:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,20,21,23,24],wherea:[6,20],wherein:[1,12],whether:[0,3,5,7,9,20,23],which:[0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,23,24],whichev:[1,3],white:9,who:[0,19,23],whole:[1,3,4,5,9,11,13],whose:[0,6,10,20,24],whow:[11,24],why:[0,1,3,6,13],wide:[0,1,3,6,7,12,15,17,18,23],widehat:6,width:[0,3,8,9,23],wieringen:[0,23,24],win:10,wind:9,wing:[21,23],winther:2,wiothout:[6,24],wiscons:7,wisconsin:10,wisdom:6,wise:[0,1,5,12,13,24],wish:[0,2,5,7,8,11,13,14,18,23,24],with_std:[0,24],wither:6,within:[0,2,3,4,7,9,12,13,14,20,22,23],withinclust:14,without:[0,1,5,6,8,9,11,12,13,23,24],won:[0,23],wonder:8,woodi:23,word:[0,1,3,4,5,6,7,14,20,23,24],work:[0,1,4,6,7,8,9,13,15,17,19,20,21,23,24],worker:[],workshop:23,world:[0,8,23,24],worldwid:[0,23],wors:[0,1,3,4,6,23],worst:[],worth:9,would:[0,1,3,5,6,7,8,9,10,11,12,13,18,20,23,24],wrap:[2,6,18,23],wrap_toco:[3,4,14],wrap_util:[2,13],wrapper:[0,23],write:[0,1,2,3,5,6,7,8,12,13,15,16,18,23,24],written:[0,2,3,5,11,12,13,16,17,18,20,23,24],wrong:[1,8],wrongli:10,wrote:[5,11,24],wrt:[2,10,13],wth:[10,13],www:[17,18,22,23],wx_1:8,x0:8,x1:[4,8,9,10,13],x1_exampl:8,x1d:8,x2:[8,9,10,13],x2d:[8,11],x2d_train:11,x2dsl:11,x3:8,x:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,23],x_0:[0,5,11,18,23,24],x_1:[0,2,5,6,7,8,9,10,11,13,18,20,23,24],x_2:[0,2,5,6,7,8,9,10,11,13,18,20,23,24],x_3:[8,18,20],x_4:18,x_:[0,2,3,5,6,8,10,11,13,14,18,20,23,24],x_center:11,x_data:1,x_data_ful:1,x_hidden:2,x_i:[0,1,2,5,6,7,8,9,10,11,12,13,14,18,20,23,24],x_input:2,x_ix_:[0,23],x_iy_i:8,x_j:[0,2,8,9,12,16,20,24],x_jy_j:8,x_k:[12,14,18,20,24],x_l:20,x_m:[6,12,18,20],x_n:[0,2,3,6,8,11,12,13,18,20,23],x_new:[9,10],x_offset:[6,24],x_output:2,x_p:[3,7,9],x_poli:9,x_poly10:9,x_pred:4,x_prev:2,x_reduc:11,x_scale:8,x_small:13,x_test:[0,1,3,5,6,7,9,10,11,23,24],x_test_own:6,x_test_scal:[0,6,7,9,10,11,24],x_tot:4,x_train:[0,1,3,4,5,6,7,9,10,11,23,24],x_train_mean:[6,24],x_train_own:6,x_train_scal:[0,6,7,9,10,11,24],x_val:1,xarrai:[17,23],xavier:1,xbnew:13,xcode:[0,15,17,23],xdclassiffierconfus:10,xdclassiffierroc:10,xg_clf:10,xgb:10,xgbclassifi:10,xgboost:9,xgboot:10,xgbregressor:10,xgparam:10,xgtree:10,xi:[8,13],xi_1:8,xi_:8,xi_i:8,xk:8,xla:[13,17,23],xlabel:[0,1,2,3,4,5,6,7,8,9,10,13,20,23,24],xlim:[6,10],xm:9,xmesh:13,xnew:[0,13,23],xp:20,xpanda:[0,24],xpd:[5,11,24],xplot:0,xs:9,xscale:[0,24],xsr:9,xt_x:13,xtest:6,xtick:[3,6,8,9],xtrain:6,xu:[0,23],xx:[0,18,23],xy:[0,6,8,18,23],xytext:8,xz:[18,23],y1:4,y2:4,y3:4,y:[0,1,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,20,23,24],y_0:[0,5,11,18,23,24],y_1:[0,5,8,9,11,13,18,23,24],y_1y_1:8,y_1y_1k:8,y_1y_2:8,y_1y_2k:8,y_1y_n:8,y_1y_nk:8,y_2:[0,5,8,9,11,18,23,24],y_2y_1:8,y_2y_1k:8,y_2y_2:8,y_2y_2k:8,y_3:[0,9,18],y_4:18,y_:[0,1,5,6,10,11,18,23,24],y_data:[0,1,5,6,23,24],y_data_ful:1,y_decis:8,y_fit:[0,24],y_i:[0,1,5,6,7,8,9,10,11,12,13,15,16,18,23,24],y_if_:10,y_ix_:[0,23],y_ix_i:[7,8,13,24],y_iy_jk:8,y_j:[6,8,12],y_k:12,y_m:18,y_model:[0,4,5,6,23,24],y_n:[8,13],y_ny_1:8,y_ny_1k:8,y_ny_2:8,y_ny_2k:8,y_ny_n:8,y_ny_nk:8,y_offset:[6,24],y_plot:9,y_pred1:9,y_pred2:9,y_pred:[0,1,4,6,7,8,9,10,24],y_pred_rf:10,y_pred_tre:10,y_proba:[7,10],y_scaler:6,y_test:[0,1,3,4,5,6,7,9,10,11,23,24],y_test_onehot:1,y_test_predict:[0,24],y_tot:4,y_train:[0,1,3,4,5,6,7,9,10,11,23,24],y_train_mean:[6,24],y_train_onehot:1,y_train_predict:[0,24],y_train_scal:6,y_val:1,ye:[3,6,7],year:[0,17,23],yet:[0,1,6,8,11,13,23],yhd5w:[],yi:13,yield:[0,2,5,6,8,10,12,13,14,18,20,23],yk:8,ylabel:[0,1,2,3,4,5,6,7,8,9,10,13,20,23,24],ylim:[3,6],ym:9,ymesh:13,yn:0,yo:[8,9,10],yoshua:[1,22],you:[0,1,2,3,4,5,6,8,9,10,11,13,15,16,17,18,20,21,22,24],young:[0,23],your:[1,2,4,5,6,8,11,13,17,18],yourself:[11,13,23],youtu:[],youtub:17,ypred:6,ypredict2:13,ypredict:[0,13,23,24],ypredictlasso:5,ypredictol:[0,5],ypredictown:[6,24],ypredictownridg:6,ypredictridg:[0,5,6],ypredictskl:[6,24],yridg:23,ys:9,ytest:6,ytick:[3,6,8,9],ytild:[0,6,23,24],ytildelasso:5,ytildenp:[0,23,24],ytildeol:[0,5],ytildeownridg:6,ytilderidg:[5,6],ytrain:6,yvqgvcsovpw:[],yx:[18,23],yy:[18,23],yz:[18,23],yzbxji6lgl0:[],z:[0,1,2,3,4,5,6,7,8,9,11,12,13,18,20,23,24],z_0:[18,23],z_1:[18,23],z_2:[18,23],z_:[1,2,12,18,23],z_c:1,z_h:1,z_hidden:2,z_i:[1,12],z_j:[1,12],z_k:[12,24],z_m:1,z_mod:9,z_o:1,z_output:2,zaman:20,zaxi:6,zero:[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,18,20,23,24],zeros_lik:4,zeroth:24,zfill:4,zip:[2,4,6,13],zl:[],zm_h:[0,23],zn:[0,24],zone:[0,24],zoom:23,zx:[18,23],zy:[18,23],zz:[18,23]},titles:["3. Linear Regression","14. Building a Feed Forward Neural Network","15. Solving Differential Equations with Deep Learning","16. Convolutional Neural Networks","17. Recurrent neural networks: Overarching view","4. Ridge and Lasso Regression","5. Resampling Methods","6. Logistic Regression","8. Support Vector Machines, overarching aims","9. Decision trees, overarching aims","10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods","11. Basic ideas of the Principal Component Analysis (PCA)","13. Neural networks","7. Optimization, the central part of any Machine Learning algortithm","12. Clustering and Unsupervised Learning","19. Exercises week 34","Exercises week 35","Applied Data Analysis and Machine Learning","2. Linear Algebra, Handling of Arrays and more Python Features","Teaching schedule with links to material","1. Elements of Probability Theory and Statistical Data Analysis","Teachers and Grading","Textbooks","20. Week 34: Introduction to the course, Logistics and Practicalities","Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression"],titleterms:{"1":[0,15,16,23,24],"10":[],"11":[],"12":[],"13":[],"14":[],"15":[],"16":[],"17":[],"18":[],"19":[],"2":[0,15,16,23,24],"20":[],"2021":[],"2022":[],"2023":21,"21":[],"22":[],"23":[],"24":[],"25":[],"26":[],"27":[],"28":[],"29":[],"3":[0,15,16,23,24],"30":[],"31":24,"34":[15,23],"35":[16,24],"36":[],"37":[],"38":[],"39":[],"4":[0,24],"40":[],"41":[],"4155":[],"42":[],"43":[],"44":[],"45":[],"46":[],"47":[],"5":0,"6":[],"7":[],"8":[],"9":[],"case":[8,10,20,24],"do":[1,23],"final":[12,24],"function":[0,1,6,7,8,10,11,12,13,20,23,24],"import":[5,18,23,24],"new":4,A:[0,1,4,8,9,23],And:[23,24],In:21,Ising:6,The:[0,1,2,3,5,6,7,8,9,11,12,17,23,24],To:[23,24],With:4,about:[23,24],activ:[1,12],actual:[],ad:[0,6,23,24],adaboost:10,adagrad:13,adam:13,adapt:10,adjust:1,adversari:4,again:[3,9],ai:23,aim:[8,9,23],aka:[23,24],algebra:[18,23],algorithm:[9,10,11,12,24],algortithm:13,all:8,an:[0,4,10,23],analys:[5,24],analysi:[0,5,6,11,17,20,23,24],analyt:[0,16],ani:13,anoth:9,appli:17,approach:[0,8,14,23],approxim:12,architectur:1,arrai:[18,23],assist:21,august:24,autocorrel:20,autograd:[2,13],automat:13,back:[1,11,12],background:17,bag:10,base:13,basic:[0,5,7,9,10,11,18,24],batch:1,bay:5,befor:11,better:8,bia:6,binari:1,bind:23,binomi:[],bird:10,block:[],boldsymbol:24,boost:10,bootstrap:[6,10],boston:[0,24],breast:1,brief:23,bring:12,build:[1,3,9],c:23,calcul:24,can:23,cancer:[1,7,9,11],cart:9,center:24,central:[13,17,20],chain:12,chang:10,channel:23,chi:[0,23],choos:1,cifar01:3,classic:11,classif:[1,9,10],classifi:8,clip:1,cluster:14,cnn:3,code:[0,1,2,5,9,11,12,13,14,23,24],collect:[1,3],commun:23,compar:[2,10],complet:24,complex:[0,6,24],complic:6,compon:11,comput:9,computerlab:23,con:9,concept:20,conjug:13,continu:[],contn:23,convex:[8,13],convolut:[3,12],correl:[11,24],cost:[1,10,24],cours:[17,22,23],covari:[5,11,20,24],cover:23,cross:6,cumul:[],cython:23,data:[0,1,3,6,7,9,11,15,16,17,20,23,24],dataset:[1,3],deadlin:23,decai:2,decis:[9,10],decomposit:[5,11,18,24],deep:[1,2],defin:[1,23],definit:[],degre:[0,24],demonstr:[],dens:[0,23],deriv:[5,12,24],descent:[2,10,13],design:24,detail:[3,23],develop:1,deviat:[],diagon:11,dice:[],differ:8,differenti:[2,13],diffus:2,dimension:[2,3,8,24],disadvantag:9,discret:20,disguis:[],distribut:[5,20],doe:24,domain:20,down:1,dropout:1,economi:24,element:[0,20,23],elimin:18,energi:23,ensembl:10,entropi:9,environ:[0,15,23],equat:[0,2,12,23,24],error:[0,10,23,24],essenti:23,etc:23,euler:2,evalu:1,event:[],exampl:[0,1,2,3,4,6,7,8,9,10,23,24],exercis:[0,6,15,16,23,24],expect:20,experi:20,explor:[0,15,16,23],exponenti:2,express:[23,24],extrapol:4,extrem:[10,23],ey:10,fall:21,famili:[1,23,24],famou:18,fantast:24,featur:[9,18,24],feed:[1,12],fine:1,first:[4,12,23,24],fit:[0,10,23],fix:24,forc:3,forest:10,format:23,forward:[1,2,12],fourier:3,frank:[6,24],freedom:[0,24],frequent:24,frequentist:[0,23],from:[5,10,12,24],full:2,further:[3,5,24],fy:[],gan:4,gaussian:18,gd:13,gener:[4,9,23],geometr:11,gini:9,good:[0,23],grade:[21,23],gradient:[1,2,10,13],growth:2,ha:17,handl:[18,23,24],have:23,heard:23,hessian:24,hidden:2,hous:[0,24],how:[],hyperparamet:1,hyperplan:8,i:1,id3:9,idea:11,ii:23,implement:1,implic:[5,24],improv:1,includ:13,increment:11,index:9,inform:21,input:2,instal:[17,23],instructor:21,intercept:24,interpret:[5,11,23,24],introduc:[11,13,24],introduct:[0,6,17,18,23],invers:[5,18],invert:24,iter:10,its:24,jackknif:[],jacobian:24,jax:13,julia:23,jungl:10,kera:[1,3],kernel:[8,11],lagrangian:8,lasso:[5,6,24],last:24,later:[5,24],layer:[1,2,3,12],learn:[0,1,2,11,13,14,15,16,17,23,24],least:[5,6,23,24],lectur:[23,24],level:10,librari:[17,23],likelihood:7,limit:[1,13,20],linear:[0,8,13,18,23,24],link:[5,11,19,22,24],logist:[7,23],loss:24,lu:18,machin:[0,8,13,17,23],mai:23,main:20,make:[0,9,10,15,16,23,24],mani:[10,12],manipul:24,mass:23,materi:[19,23,24],math:[5,24],mathemat:[3,5,8,24],matric:[5,18,23],matrix:[1,5,11,12,18,23,24],matter:[0,23],max:24,mean:[0,23,24],meet:[5,10,20,23,24],mercer:8,mersenn:[],method:[6,9,10,13],min:24,minim:23,ml:23,mlp:12,mnist:[3,4],model:[0,1,4,6,12,23],moment:[],momentum:13,moon:[8,9],more:[3,6,18,23,24],multilay:12,multipl:[1,3],multipli:8,name:[],need:23,network:[1,2,3,4,7,12,23],neural:[1,2,3,4,7,12,23],non:8,normal:[0,1],norwai:[],notat:12,note:24,novemb:[],now:[1,9,13],nuclear:[0,23],nueral:[],numba:23,number:[0,2,20,24],numer:[2,20],numpi:[18,23],object:3,observ:[],obtain:11,octob:[],od:2,off:6,ol:[5,6],one:[2,12],oper:18,optim:[1,8,13,17,23,24],order:13,ordinari:[5,6,23,24],organ:[0,23],oslo:22,other:[4,9,11,12,18,23,24],our:[0,4,5,11,13,23,24],outcom:[17,23],output:2,overarch:[0,4,8,9,23,24],overview:[10,23],own:[0,10,11,15,16,23,24],packag:[18,23],panda:[23,24],paramet:[23,24],part:[13,17,24],partial:2,pass:1,pca:11,pdf:20,perceptron:12,perform:[1,9],period:3,perspect:1,plan:24,point:4,poisson:2,polynomi:3,popul:2,practic:[13,21,23],pre:[1,3],predict:4,preprocess:24,prerequisit:[3,17,23],princip:11,principl:3,pro:9,probabl:[5,20],problem:[1,2,13,23,24],procedur:[9,23],process:[1,3],program:[2,13],project:[6,23],prop:13,propag:[1,12],properti:[5,20,24],pseudo:[],python:[0,9,15,17,18,23],quick:8,r:23,ran0:[],random:[10,11,20],read:[9,23,24],real:[6,23],recip:[],recommend:[23,24],recurr:[4,12],reduc:[0,24],reduct:3,reformul:2,regress:[0,5,6,7,9,10,13,23,24],regular:1,relat:24,relev:[22,24],relu:1,remark:3,remind:[6,8,23],repeat:24,replac:13,requir:[2,17],resampl:6,rescal:6,residu:24,resourc:2,result:24,revisit:13,rewrit:[23,24],ridg:[0,5,6,24],rm:13,rng:[],rule:12,s:[8,10],same:13,sampl:11,scale:24,schedul:[19,23],schemat:9,scheme:2,scienc:23,scikit:[0,1,11,15,16,23,24],second:13,select:[],semest:21,septemb:[],set:[0,2,3,9,12,15,23,24],sgd:13,should:1,similar:13,simpl:[0,4,9,13,23,24],singl:10,singular:[5,11,24],situat:[],size:24,soft:8,softmax:1,softwar:23,solv:2,solver:13,some:[13,18,23,24],specifi:2,split:[0,15,16,23,24],squar:[0,5,6,10,23,24],standard:[13,24],state:[0,23],statement:23,statist:[5,6,17,20,23],steepest:[10,13],still:24,stk3155:[],stochast:[13,20],strongli:23,subtract:24,suggest:23,summari:[21,23],superposit:3,supervis:1,support:8,svd:[5,24],systemat:3,t:24,teach:[19,21],teacher:[21,23],techniqu:[6,11],technolog:17,tensorflow:[1,3],tent:23,test:[0,1,15,16,23,24],textbook:[22,23],thei:23,theorem:[5,8,11,12,20],theori:20,thi:23,think:24,three:[],thursdai:24,tip:13,togeth:12,tool:23,top:1,topic:23,toss:[],toward:11,trade:6,tradeoff:6,train:[0,1,4,15,16,23,24],transform:3,tree:[9,10],tune:1,two:[3,8,17,24],type:[2,4,12,23],uio:23,uncorrel:[],uniform:[],univers:[12,22],unsupervis:14,up:[0,2,9,12,15,23,24],us:[0,1,2,3,7,13,17,23,24],valid:6,valu:[5,11,20,24],variabl:20,varianc:6,variou:[0,15,23],vector:[8,12,18,23,24],view:[0,4,10,24],visual:[1,9],vs:3,wai:9,wave:2,we:23,week:[15,16,23,24],weekli:19,what:[0,23,24],which:1,why:[23,24],wisconsin:7,wrap:24,write:[4,11],x:24,xgboost:10,you:23,your:[0,10,15,16,23,24]}}) \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/week35.html b/doc/LectureNotes/_build/html/week35.html index 810325b71..a4f974213 100644 --- a/doc/LectureNotes/_build/html/week35.html +++ b/doc/LectureNotes/_build/html/week35.html @@ -1583,22 +1583,11 @@ We assume our data can represented by a fourth-order polynomial. For the Alternatively, you can use the least squares functionality in Numpy as

-
fit = np.linalg.lstsq(X, Energies, rcond =None)[0]
+
fit = np.linalg.lstsq(X, y, rcond =None)[0]
 ytildenp = np.dot(fit,X.T)
-
-
---------------------------------------------------------------------------
-NameError                                 Traceback (most recent call last)
-Input In [2], in <cell line: 1>()
-----> 1 fit = np.linalg.lstsq(X, Energies, rcond =None)[0]
-      2 ytildenp = np.dot(fit,X.T)
-
-NameError: name 'Energies' is not defined
-
-
-
@@ -1616,7 +1605,12 @@ Since we are not using Scikit-Learn here we can define our own

and we would be using it as

-
print(R2(Energies,ytilde))
+
print(R2(y,ytilde))
+

+

+
+
+
0.9952495547161103
@@ -1628,7 +1622,12 @@ Since we are not using Scikit-Learn here we can define our own n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde)) +
+
+
+
+
0.00950269957492606
@@ -1638,7 +1637,28 @@ Since we are not using Scikit-Learn here we can define our own 
def RelativeError(y_data,y_model):
     return abs((y_data-y_model)/y_data)
-print(RelativeError(Energies, ytilde))
+print(RelativeError(y, ytilde))
+
+
+
+
+
[0.0193453  0.01242273 0.01256189 0.01871582 0.02840224 0.05004617
+ 0.03536673 0.00706459 0.01326608 0.00817056 0.0443659  0.02090061
+ 0.03724642 0.02376036 0.01943082 0.11352543 0.03437582 0.04426816
+ 0.0055043  0.00779804 0.00415473 0.01761413 0.01206708 0.0234505
+ 0.02928941 0.03893106 0.04678736 0.08370888 0.0739975  0.02035804
+ 0.04028979 0.03739417 0.04670006 0.02383034 0.00416461 0.03232719
+ 0.0156548  0.00393128 0.0957156  0.01406736 0.02551463 0.00388494
+ 0.06432223 0.03509912 0.01422494 0.04787099 0.01323884 0.02803041
+ 0.00075315 0.01037947 0.03255258 0.01631138 0.02129803 0.00715835
+ 0.00427039 0.02298589 0.00128634 0.00877989 0.00444561 0.0459682
+ 0.01751529 0.02917931 0.00791291 0.01207435 0.01960258 0.00431511
+ 0.00407056 0.00220229 0.00267599 0.03371334 0.01654471 0.10880921
+ 0.07557024 0.01944669 0.01542944 0.07143876 0.0136671  0.00695357
+ 0.0021877  0.08084392 0.02862254 0.02701924 0.0499586  0.00202464
+ 0.0113975  0.03423556 0.09652672 0.05150928 0.02979908 0.00569317
+ 0.00112431 0.00780259 0.01200342 0.00397836 0.06287717 0.00403785
+ 0.0068094  0.02086933 0.0165866  0.0066916 ]
@@ -1706,6 +1726,19 @@ but now splitting the data into a training set and a test set.

+
+
[ 1.96769675 -0.05402365  6.44997121 -3.20038136  1.84614066]
+Training R2
+0.996694948530336
+Training MSE
+0.00740173378493795
+Test R2
+0.9920099299023244
+Test MSE
+0.013537225644261203
+
+
+
@@ -1844,6 +1877,346 @@ represent a specific feature whose mean value is subracted.

+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
01234
0-1.7497650.3426801.153036-0.2524360.981321
10.5142190.221180-1.070043-0.1894960.255001
2-0.4580270.435163-0.5835950.8168470.672721
3-0.104411-0.5312801.029733-0.438136-1.118318
41.6189821.541605-0.251879-0.8424360.184519
50.9370820.7310001.361556-0.3262380.055676
60.222400-1.443217-0.7563520.8164540.750445
7-0.4559471.189622-1.690617-1.356399-1.232435
8-0.544439-0.6681720.007315-0.6129391.299748
9-1.733096-0.9833100.357508-1.6135791.470714
+
0   -0.175300
+1    0.083527
+2   -0.044334
+3   -0.399836
+4    0.331939
+dtype: float64
+0    1.069584
+1    0.965548
+2    1.018232
+3    0.793167
+4    0.918992
+dtype: float64
+
+
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
01234
0-1.5744650.2591531.1973700.1474000.649382
10.6895190.137652-1.0257090.210340-0.076938
2-0.2827270.351636-0.5392611.2166830.340782
30.070889-0.6148081.074067-0.038300-1.450257
41.7942821.458078-0.207545-0.442600-0.147420
51.1123830.6474731.4058900.073598-0.276263
60.397700-1.526744-0.7120181.2162900.418506
7-0.2806471.106095-1.646283-0.956563-1.564374
8-0.369139-0.7516990.051649-0.2131030.967809
9-1.557795-1.0668370.401842-1.2137431.138775
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
01234
00.00.00.00.00.0
10.00.00.00.00.0
20.00.00.00.00.0
30.00.00.00.00.0
40.00.00.00.00.0
50.00.00.00.00.0
60.00.00.00.00.0
70.00.00.00.00.0
80.00.00.00.00.0
90.00.00.00.00.0
+

Small exercise: perform the standard scaling by including the standard deviation and compare with what Scikit-Learn gives.

@@ -1919,6 +2292,9 @@ the aims is to reproduce Figure 2.11 of +_images/week35_146_0.png +
@@ -2067,7 +2473,8 @@ This can clearly lead to problems in evaluating the cost/loss functions.

Still thinking¶

Keep in mind that when you transform your data set before training a model, the same transformation needs to be done -on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows

+on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows +(note that the lines are commented since the model function has not been defined)

#Model training, we compute the mean value of y and X
@@ -2077,12 +2484,12 @@ on your eventual new data set  before making a prediction. If we translate this
 y_train = y_train - y_train_mean
 
 # The we fit our model with the training data
-trained_model = some_model.fit(X_train,y_train)
+#trained_model = some_model.fit(X_train,y_train)
 
 
 #Model prediction, we need also to transform our data set used for the prediction.
 X_test = X_test - X_train_mean #Use mean from training data
-y_pred = trained_model(X_test)
+#y_pred = trained_model(X_test)
 y_pred = y_pred + y_train_mean
@@ -2269,6 +2676,26 @@ Note also that we do not split the data into training and test.

+
+
True beta: [2, 0.5, 3.7]
+Fitted beta: [2.08376632 0.19569961 3.97898392]
+Sklearn fitted beta: [2.08376632 0.19569961 3.97898392]
+MSE with intercept column
+0.004113634617443139
+MSE with intercept column from SKL
+0.004113634617443147
+Manual intercept: 2.083766322923899
+Fitted beta (wiothout intercept): [0.19569961 3.97898392]
+Sklearn intercept: 2.0837663229239043
+Sklearn fitted beta (without intercept): [0.19569961 3.97898392]
+MSE with Manual intercept
+0.00411363461744314
+MSE with Sklearn intercept
+0.004113634617443131
+
+
+_images/week35_181_1.png +

The intercept is the value of our output/target variable when all our features are zero and our function crosses the \(y\)-axis (for a one-dimensional case).

@@ -2354,6 +2781,49 @@ the house using the features (predictors) listed here.

+
+
/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function load_boston is deprecated; `load_boston` is deprecated in 1.0 and will be removed in 1.2.
+
+    The Boston housing prices dataset has an ethical problem. You can refer to
+    the documentation of this function for further details.
+
+    The scikit-learn maintainers therefore strongly discourage the use of this
+    dataset unless the purpose of the code is to study and educate about
+    ethical issues in data science and machine learning.
+
+    In this special case, you can fetch the dataset from the original
+    source::
+
+        import pandas as pd
+        import numpy as np
+
+
+        data_url = "http://lib.stat.cmu.edu/datasets/boston"
+        raw_df = pd.read_csv(data_url, sep="\s+", skiprows=22, header=None)
+        data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])
+        target = raw_df.values[1::2, 2]
+
+    Alternative datasets include the California housing dataset (i.e.
+    :func:`~sklearn.datasets.fetch_california_housing`) and the Ames housing
+    dataset. You can load the datasets as follows::
+
+        from sklearn.datasets import fetch_california_housing
+        housing = fetch_california_housing()
+
+    for the California housing dataset and::
+
+        from sklearn.datasets import fetch_openml
+        housing = fetch_openml(name="house_prices", as_frame=True)
+
+    for the Ames housing dataset.
+    
+  warnings.warn(msg, category=FutureWarning)
+
+
+
dict_keys(['data', 'target', 'feature_names', 'DESCR', 'filename', 'data_module'])
+
+
+

Then we invoke Pandas

@@ -2373,6 +2843,25 @@ the house using the features (predictors) listed here.

+
+
CRIM       0
+ZN         0
+INDUS      0
+CHAS       0
+NOX        0
+RM         0
+AGE        0
+DIS        0
+RAD        0
+TAX        0
+PTRATIO    0
+B          0
+LSTAT      0
+MEDV       0
+dtype: int64
+
+
+

We can then visualize the data

@@ -2386,6 +2875,13 @@ the house using the features (predictors) listed here.

+
+
/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).
+  warnings.warn(msg, FutureWarning)
+
+
+_images/week35_199_1.png +

It is now useful to look at the correlation matrix

@@ -2398,6 +2894,12 @@ the house using the features (predictors) listed here.

+
+
<AxesSubplot:>
+
+
+_images/week35_201_1.png +

From the above coorelation plot we can see that MEDV is strongly correlated to LSTAT and RM. We see also that RAD and TAX are stronly correlated, but we don’t include this in our features together to avoid multi-colinearity

@@ -2418,6 +2920,9 @@ the house using the features (predictors) listed here.

+
+_images/week35_203_0.png +

Now we start training our model

@@ -2443,6 +2948,14 @@ the house using the features (predictors) listed here.

+
+
(404, 2)
+(102, 2)
+(404,)
+(102,)
+
+
+

Then we use the linear regression functionality from Scikit-Learn

@@ -2481,6 +2994,20 @@ the house using the features (predictors) listed here.

+
+
The model performance for training set
+--------------------------------------
+RMSE is 5.637129335071195
+R2 score is 0.6300745149331701
+
+
+The model performance for testing set
+--------------------------------------
+RMSE is 5.137400784702911
+R2 score is 0.6628996975186953
+
+
+
@@ -2491,6 +3018,9 @@ the house using the features (predictors) listed here.

+
+_images/week35_210_0.png +
@@ -2770,6 +3300,25 @@ In general the economy-size SVD leads to less FLOPS and still conserving the des
+
+
[[ 1. -1.]
+ [ 1. -1.]]
+test U
+[[0. 0.]
+ [0. 0.]]
+test VT
+[[0. 0.]
+ [0. 0.]]
+[[-0.70710678 -0.70710678]
+ [-0.70710678  0.70710678]]
+[2.00000000e+00 3.35470445e-17]
+[[-0.70710678  0.70710678]
+ [ 0.70710678  0.70710678]]
+[[-3.33066907e-16  4.44089210e-16]
+ [ 0.00000000e+00  2.22044605e-16]]
+
+
+

The matrix \(\boldsymbol{X}\) has columns that are linearly dependent. The first column is the row-wise sum of the other two columns. The rank of a @@ -3123,6 +3672,14 @@ covariance matrix through the np.linalg.eig() function.

+
+
0.10790125813226321
+4.340071371496255
+[[ 1.04193203  3.08165104]
+ [ 3.08165104 10.18383522]]
+
+
+
@@ -3158,6 +3715,14 @@ a more brute force way. Here we scale the mean values for each column of the des
+
+
0.08881497884574564
+1.7086067479626619
+[[1.         0.66080313]
+ [0.66080313 1.        ]]
+
+
+

We see that the matrix elements along the diagonal are one as they should be and that the matrix is symmetric. Furthermore, diagonalizing @@ -3186,6 +3751,34 @@ this matrix we easily see that it is a positive definite matrix.

+
+
[[-0.40620066 -2.01265755]
+ [ 0.01458611  0.37737221]
+ [-1.0895387  -3.65442354]
+ [ 0.2338675   1.12044974]
+ [ 0.4676059   1.54393936]
+ [-0.65891389 -3.16304863]
+ [-0.1715252   0.39197698]
+ [ 0.71142161  2.95511792]
+ [ 0.39214397  0.13069442]
+ [ 0.50655336  2.3105791 ]]
+          0         1
+0 -0.406201 -2.012658
+1  0.014586  0.377372
+2 -1.089539 -3.654424
+3  0.233868  1.120450
+4  0.467606  1.543939
+5 -0.658914 -3.163049
+6 -0.171525  0.391977
+7  0.711422  2.955118
+8  0.392144  0.130694
+9  0.506553  2.310579
+          0         1
+0  1.000000  0.952387
+1  0.952387  1.000000
+
+
+

We expand this model to the Franke function discussed above.

@@ -3239,6 +3832,43 @@ this matrix we easily see that it is a positive definite matrix.

+
+
     0         1         2         3         4         5         6         7   \
+0   0.0  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   
+1   0.0  0.078974  0.081276  0.075889  0.077168  0.078540  0.065410  0.066474   
+2   0.0  0.081276  0.084076  0.078336  0.079946  0.081655  0.067707  0.069028   
+3   0.0  0.075889  0.078336  0.077460  0.078986  0.080616  0.069452  0.070737   
+4   0.0  0.077168  0.079946  0.078986  0.080764  0.082653  0.070986  0.072476   
+5   0.0  0.078540  0.081655  0.080616  0.082653  0.084809  0.072621  0.074323   
+6   0.0  0.065410  0.067707  0.069452  0.070986  0.072621  0.064074  0.065378   
+7   0.0  0.066474  0.069028  0.070737  0.072476  0.074323  0.065378  0.066854   
+8   0.0  0.067637  0.070457  0.072132  0.074084  0.076150  0.066787  0.068441   
+9   0.0  0.068906  0.072000  0.073644  0.075816  0.078110  0.068307  0.070146   
+10  0.0  0.055734  0.057835  0.060872  0.062337  0.063894  0.057393  0.058645   
+11  0.0  0.056683  0.058996  0.062016  0.063653  0.065390  0.058552  0.059951   
+12  0.0  0.057722  0.060254  0.063260  0.065077  0.066999  0.059807  0.061359   
+13  0.0  0.058854  0.061614  0.064609  0.066612  0.068727  0.061163  0.062874   
+14  0.0  0.060083  0.063080  0.066066  0.068264  0.070582  0.062624  0.064501   
+
+          8         9         10        11        12        13        14  
+0   0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  
+1   0.067637  0.068906  0.055734  0.056683  0.057722  0.058854  0.060083  
+2   0.070457  0.072000  0.057835  0.058996  0.060254  0.061614  0.063080  
+3   0.072132  0.073644  0.060872  0.062016  0.063260  0.064609  0.066066  
+4   0.074084  0.075816  0.062337  0.063653  0.065077  0.066612  0.068264  
+5   0.076150  0.078110  0.063894  0.065390  0.066999  0.068727  0.070582  
+6   0.066787  0.068307  0.057393  0.058552  0.059807  0.061163  0.062624  
+7   0.068441  0.070146  0.058645  0.059951  0.061359  0.062874  0.064501  
+8   0.070213  0.072111  0.059993  0.061452  0.063019  0.064699  0.066500  
+9   0.072111  0.074210  0.061443  0.063061  0.064793  0.066647  0.068629  
+10  0.059993  0.061443  0.052305  0.053417  0.054617  0.055910  0.057300  
+11  0.061452  0.063061  0.053417  0.054655  0.055987  0.057418  0.058952  
+12  0.063019  0.064793  0.054617  0.055987  0.057457  0.059031  0.060716  
+13  0.064699  0.066647  0.055910  0.057418  0.059031  0.060756  0.062599  
+14  0.066500  0.068629  0.057300  0.058952  0.060716  0.062599  0.064606  
+
+
+

We note here that the covariance is zero for the first rows and columns since all matrix elements in the design matrix were set to one diff --git a/doc/LectureNotes/_build/jupyter_execute/week35.ipynb b/doc/LectureNotes/_build/jupyter_execute/week35.ipynb index 52784c8b7..af745702d 100644 --- a/doc/LectureNotes/_build/jupyter_execute/week35.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/week35.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "0b8a0ca4", + "id": "838ddf3c", "metadata": { "editable": true }, @@ -14,7 +14,7 @@ }, { "cell_type": "markdown", - "id": "04b82164", + "id": "17b1747e", "metadata": { "editable": true }, @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "b4569878", + "id": "85eb10b9", "metadata": { "editable": true }, @@ -49,7 +49,7 @@ }, { "cell_type": "markdown", - "id": "8a651090", + "id": "791bb6f2", "metadata": { "editable": true }, @@ -65,7 +65,7 @@ }, { "cell_type": "markdown", - "id": "5ed41979", + "id": "add64c3b", "metadata": { "editable": true }, @@ -99,7 +99,7 @@ }, { "cell_type": "markdown", - "id": "bac89af1", + "id": "ebd9eb0a", "metadata": { "editable": true }, @@ -115,7 +115,7 @@ }, { "cell_type": "markdown", - "id": "0c42ff8a", + "id": "48190fca", "metadata": { "editable": true }, @@ -127,7 +127,7 @@ }, { "cell_type": "markdown", - "id": "7a45848d", + "id": "a9e68bdb", "metadata": { "editable": true }, @@ -137,7 +137,7 @@ }, { "cell_type": "markdown", - "id": "07ba01c4", + "id": "9cd514cf", "metadata": { "editable": true }, @@ -149,7 +149,7 @@ }, { "cell_type": "markdown", - "id": "335ae896", + "id": "be58abcb", "metadata": { "editable": true }, @@ -170,7 +170,7 @@ }, { "cell_type": "markdown", - "id": "2e4fcb2a", + "id": "65c81ad7", "metadata": { "editable": true }, @@ -182,7 +182,7 @@ }, { "cell_type": "markdown", - "id": "12dc5709", + "id": "d06dd2df", "metadata": { "editable": true }, @@ -195,7 +195,7 @@ }, { "cell_type": "markdown", - "id": "c3480a1c", + "id": "2b242f4c", "metadata": { "editable": true }, @@ -207,7 +207,7 @@ }, { "cell_type": "markdown", - "id": "90295c79", + "id": "fa4ce919", "metadata": { "editable": true }, @@ -219,7 +219,7 @@ }, { "cell_type": "markdown", - "id": "219f5e30", + "id": "809bddba", "metadata": { "editable": true }, @@ -229,7 +229,7 @@ }, { "cell_type": "markdown", - "id": "1abd132b", + "id": "c13096cd", "metadata": { "editable": true }, @@ -241,7 +241,7 @@ }, { "cell_type": "markdown", - "id": "ec78644f", + "id": "51bf0ce3", "metadata": { "editable": true }, @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "04c74624", + "id": "ebdcd499", "metadata": { "editable": true }, @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "af25e1c6", + "id": "052a85b8", "metadata": { "editable": true }, @@ -276,7 +276,7 @@ }, { "cell_type": "markdown", - "id": "2125067f", + "id": "7896972c", "metadata": { "editable": true }, @@ -288,7 +288,7 @@ }, { "cell_type": "markdown", - "id": "fce7cbce", + "id": "9cb44c6e", "metadata": { "editable": true }, @@ -300,7 +300,7 @@ }, { "cell_type": "markdown", - "id": "11ee37c4", + "id": "c07d6100", "metadata": { "editable": true }, @@ -311,7 +311,7 @@ }, { "cell_type": "markdown", - "id": "d1dd61e2", + "id": "a9038b2b", "metadata": { "editable": true }, @@ -323,7 +323,7 @@ }, { "cell_type": "markdown", - "id": "f6ac3f1d", + "id": "ee219eaa", "metadata": { "editable": true }, @@ -342,7 +342,7 @@ }, { "cell_type": "markdown", - "id": "e62b9a8e", + "id": "4b483278", "metadata": { "editable": true }, @@ -355,7 +355,7 @@ }, { "cell_type": "markdown", - "id": "25564459", + "id": "0c3695c7", "metadata": { "editable": true }, @@ -365,7 +365,7 @@ }, { "cell_type": "markdown", - "id": "4826fa0c", + "id": "31f3f261", "metadata": { "editable": true }, @@ -377,7 +377,7 @@ }, { "cell_type": "markdown", - "id": "ad91cfea", + "id": "8a16a039", "metadata": { "editable": true }, @@ -387,7 +387,7 @@ }, { "cell_type": "markdown", - "id": "334c4b5c", + "id": "1cae8e04", "metadata": { "editable": true }, @@ -399,7 +399,7 @@ }, { "cell_type": "markdown", - "id": "d37069d0", + "id": "79352075", "metadata": { "editable": true }, @@ -409,7 +409,7 @@ }, { "cell_type": "markdown", - "id": "baf3d564", + "id": "0ccf5e17", "metadata": { "editable": true }, @@ -421,7 +421,7 @@ }, { "cell_type": "markdown", - "id": "50787505", + "id": "3986d65c", "metadata": { "editable": true }, @@ -432,7 +432,7 @@ }, { "cell_type": "markdown", - "id": "7f360392", + "id": "aa1d71ae", "metadata": { "editable": true }, @@ -444,7 +444,7 @@ }, { "cell_type": "markdown", - "id": "028cf8d2", + "id": "30f9467b", "metadata": { "editable": true }, @@ -454,7 +454,7 @@ }, { "cell_type": "markdown", - "id": "3b53ffda", + "id": "ff88b45c", "metadata": { "editable": true }, @@ -466,7 +466,7 @@ }, { "cell_type": "markdown", - "id": "65ff8127", + "id": "2b200f18", "metadata": { "editable": true }, @@ -476,7 +476,7 @@ }, { "cell_type": "markdown", - "id": "e1d9050c", + "id": "e976c578", "metadata": { "editable": true }, @@ -488,7 +488,7 @@ }, { "cell_type": "markdown", - "id": "8e9fce23", + "id": "7a53072f", "metadata": { "editable": true }, @@ -508,7 +508,7 @@ }, { "cell_type": "markdown", - "id": "a749fab8", + "id": "b254dabb", "metadata": { "editable": true }, @@ -535,7 +535,7 @@ }, { "cell_type": "markdown", - "id": "6881afbf", + "id": "59c29834", "metadata": { "editable": true }, @@ -547,7 +547,7 @@ }, { "cell_type": "markdown", - "id": "9c2fb92f", + "id": "a2dd4402", "metadata": { "editable": true }, @@ -559,7 +559,7 @@ }, { "cell_type": "markdown", - "id": "d6d835d5", + "id": "251d409a", "metadata": { "editable": true }, @@ -575,7 +575,7 @@ }, { "cell_type": "markdown", - "id": "fed1c91b", + "id": "a86432c8", "metadata": { "editable": true }, @@ -593,7 +593,7 @@ }, { "cell_type": "markdown", - "id": "7d1dfcf8", + "id": "f52757b7", "metadata": { "editable": true }, @@ -605,7 +605,7 @@ }, { "cell_type": "markdown", - "id": "bc898e72", + "id": "c2295ece", "metadata": { "editable": true }, @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "0f280d98", + "id": "01dbc04e", "metadata": { "editable": true }, @@ -628,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "e5f930a8", + "id": "2f513341", "metadata": { "editable": true }, @@ -640,7 +640,7 @@ }, { "cell_type": "markdown", - "id": "0e0cb390", + "id": "c41bbc8f", "metadata": { "editable": true }, @@ -650,7 +650,7 @@ }, { "cell_type": "markdown", - "id": "c9a5f03a", + "id": "5a64d3aa", "metadata": { "editable": true }, @@ -662,7 +662,7 @@ }, { "cell_type": "markdown", - "id": "932bc862", + "id": "3e0766a7", "metadata": { "editable": true }, @@ -676,7 +676,7 @@ }, { "cell_type": "markdown", - "id": "0ca4b0d9", + "id": "2317828c", "metadata": { "editable": true }, @@ -688,7 +688,7 @@ }, { "cell_type": "markdown", - "id": "63e2dad1", + "id": "f32112c9", "metadata": { "editable": true }, @@ -700,7 +700,7 @@ }, { "cell_type": "markdown", - "id": "64ecbf35", + "id": "f638dc03", "metadata": { "editable": true }, @@ -712,7 +712,7 @@ }, { "cell_type": "markdown", - "id": "92c17ad7", + "id": "4e5be62b", "metadata": { "editable": true }, @@ -722,7 +722,7 @@ }, { "cell_type": "markdown", - "id": "2a69e7f9", + "id": "d7cb2146", "metadata": { "editable": true }, @@ -734,7 +734,7 @@ }, { "cell_type": "markdown", - "id": "9b5936bb", + "id": "11d5122b", "metadata": { "editable": true }, @@ -744,7 +744,7 @@ }, { "cell_type": "markdown", - "id": "5bfa3f58", + "id": "a3ab7ada", "metadata": { "editable": true }, @@ -756,7 +756,7 @@ }, { "cell_type": "markdown", - "id": "38584971", + "id": "2484de20", "metadata": { "editable": true }, @@ -770,7 +770,7 @@ }, { "cell_type": "markdown", - "id": "5eaa19f8", + "id": "c05c9882", "metadata": { "editable": true }, @@ -782,7 +782,7 @@ }, { "cell_type": "markdown", - "id": "3b257952", + "id": "af6d440c", "metadata": { "editable": true }, @@ -794,7 +794,7 @@ }, { "cell_type": "markdown", - "id": "cd62fd4a", + "id": "49a54935", "metadata": { "editable": true }, @@ -806,7 +806,7 @@ }, { "cell_type": "markdown", - "id": "63201b06", + "id": "3e1e1f54", "metadata": { "editable": true }, @@ -816,7 +816,7 @@ }, { "cell_type": "markdown", - "id": "44bcd980", + "id": "e84f7a76", "metadata": { "editable": true }, @@ -828,7 +828,7 @@ }, { "cell_type": "markdown", - "id": "c69cb929", + "id": "3b454236", "metadata": { "editable": true }, @@ -838,7 +838,7 @@ }, { "cell_type": "markdown", - "id": "d0209cbb", + "id": "1c9967bd", "metadata": { "editable": true }, @@ -850,7 +850,7 @@ }, { "cell_type": "markdown", - "id": "85c2a9b1", + "id": "e1d22d0a", "metadata": { "editable": true }, @@ -860,7 +860,7 @@ }, { "cell_type": "markdown", - "id": "05ab900a", + "id": "e9f8f1b1", "metadata": { "editable": true }, @@ -872,7 +872,7 @@ }, { "cell_type": "markdown", - "id": "f8c87433", + "id": "2d68b18d", "metadata": { "editable": true }, @@ -884,7 +884,7 @@ }, { "cell_type": "markdown", - "id": "d8d58be6", + "id": "f08a6a3d", "metadata": { "editable": true }, @@ -896,7 +896,7 @@ }, { "cell_type": "markdown", - "id": "cd5493d2", + "id": "f28182b8", "metadata": { "editable": true }, @@ -911,7 +911,7 @@ }, { "cell_type": "markdown", - "id": "69c57766", + "id": "810fa811", "metadata": { "editable": true }, @@ -923,7 +923,7 @@ }, { "cell_type": "markdown", - "id": "1592a99e", + "id": "bab53421", "metadata": { "editable": true }, @@ -933,7 +933,7 @@ }, { "cell_type": "markdown", - "id": "18378073", + "id": "c678d9e7", "metadata": { "editable": true }, @@ -945,7 +945,7 @@ }, { "cell_type": "markdown", - "id": "0833d084", + "id": "18229648", "metadata": { "editable": true }, @@ -955,7 +955,7 @@ }, { "cell_type": "markdown", - "id": "07f35361", + "id": "14d11135", "metadata": { "editable": true }, @@ -967,7 +967,7 @@ }, { "cell_type": "markdown", - "id": "3a96219f", + "id": "65afc99b", "metadata": { "editable": true }, @@ -977,7 +977,7 @@ }, { "cell_type": "markdown", - "id": "2f0e8ebf", + "id": "b99c12c8", "metadata": { "editable": true }, @@ -989,7 +989,7 @@ }, { "cell_type": "markdown", - "id": "323e987a", + "id": "1d4aeb96", "metadata": { "editable": true }, @@ -1001,7 +1001,7 @@ }, { "cell_type": "markdown", - "id": "4cfaf887", + "id": "32dfb2e7", "metadata": { "editable": true }, @@ -1013,7 +1013,7 @@ }, { "cell_type": "markdown", - "id": "6288d6fe", + "id": "e22b8175", "metadata": { "editable": true }, @@ -1023,7 +1023,7 @@ }, { "cell_type": "markdown", - "id": "878ffa04", + "id": "0c7e59c7", "metadata": { "editable": true }, @@ -1035,7 +1035,7 @@ }, { "cell_type": "markdown", - "id": "efe2818a", + "id": "4929c5e0", "metadata": { "editable": true }, @@ -1048,7 +1048,7 @@ }, { "cell_type": "markdown", - "id": "016b7005", + "id": "a88784a2", "metadata": { "editable": true }, @@ -1060,7 +1060,7 @@ }, { "cell_type": "markdown", - "id": "47ccce3f", + "id": "afa642b6", "metadata": { "editable": true }, @@ -1070,7 +1070,7 @@ }, { "cell_type": "markdown", - "id": "e25deaf7", + "id": "8e923573", "metadata": { "editable": true }, @@ -1082,7 +1082,7 @@ }, { "cell_type": "markdown", - "id": "ce050c2b", + "id": "b287f486", "metadata": { "editable": true }, @@ -1092,7 +1092,7 @@ }, { "cell_type": "markdown", - "id": "b65cd933", + "id": "62fb0449", "metadata": { "editable": true }, @@ -1104,7 +1104,7 @@ }, { "cell_type": "markdown", - "id": "6bf5c873", + "id": "7c10c892", "metadata": { "editable": true }, @@ -1114,7 +1114,7 @@ }, { "cell_type": "markdown", - "id": "2ad8304d", + "id": "a2243624", "metadata": { "editable": true }, @@ -1126,7 +1126,7 @@ }, { "cell_type": "markdown", - "id": "86e780ca", + "id": "86179096", "metadata": { "editable": true }, @@ -1136,7 +1136,7 @@ }, { "cell_type": "markdown", - "id": "8b76d3f7", + "id": "734e9ab3", "metadata": { "editable": true }, @@ -1148,7 +1148,7 @@ }, { "cell_type": "markdown", - "id": "3a1a52ac", + "id": "6a7d8408", "metadata": { "editable": true }, @@ -1158,7 +1158,7 @@ }, { "cell_type": "markdown", - "id": "da435327", + "id": "c76e567f", "metadata": { "editable": true }, @@ -1170,7 +1170,7 @@ }, { "cell_type": "markdown", - "id": "f44db4df", + "id": "44bd41c3", "metadata": { "editable": true }, @@ -1182,7 +1182,7 @@ }, { "cell_type": "markdown", - "id": "819c0e66", + "id": "0f392fc5", "metadata": { "editable": true }, @@ -1194,7 +1194,7 @@ }, { "cell_type": "markdown", - "id": "510a011e", + "id": "f24b8c67", "metadata": { "editable": true }, @@ -1206,7 +1206,7 @@ }, { "cell_type": "markdown", - "id": "fcd571ce", + "id": "e00f0b5e", "metadata": { "editable": true }, @@ -1218,7 +1218,7 @@ }, { "cell_type": "markdown", - "id": "b2515b95", + "id": "f927497d", "metadata": { "editable": true }, @@ -1234,7 +1234,7 @@ }, { "cell_type": "markdown", - "id": "1ccfd4c9", + "id": "6f902139", "metadata": { "editable": true }, @@ -1246,7 +1246,7 @@ }, { "cell_type": "markdown", - "id": "6f868746", + "id": "beea1f44", "metadata": { "editable": true }, @@ -1256,7 +1256,7 @@ }, { "cell_type": "markdown", - "id": "541d352f", + "id": "90f1d577", "metadata": { "editable": true }, @@ -1268,7 +1268,7 @@ }, { "cell_type": "markdown", - "id": "92874dd6", + "id": "837b7e3c", "metadata": { "editable": true }, @@ -1286,7 +1286,7 @@ }, { "cell_type": "markdown", - "id": "19159246", + "id": "c626fb3e", "metadata": { "editable": true }, @@ -1298,7 +1298,7 @@ }, { "cell_type": "markdown", - "id": "ed39ed6b", + "id": "547f4bd1", "metadata": { "editable": true }, @@ -1310,7 +1310,7 @@ }, { "cell_type": "markdown", - "id": "8adde242", + "id": "6231fe95", "metadata": { "editable": true }, @@ -1320,7 +1320,7 @@ }, { "cell_type": "markdown", - "id": "f1e3f1c2", + "id": "915171e1", "metadata": { "editable": true }, @@ -1332,7 +1332,7 @@ }, { "cell_type": "markdown", - "id": "39960290", + "id": "9c4d56a7", "metadata": { "editable": true }, @@ -1342,7 +1342,7 @@ }, { "cell_type": "markdown", - "id": "db52e3e6", + "id": "6b8febad", "metadata": { "editable": true }, @@ -1354,7 +1354,7 @@ }, { "cell_type": "markdown", - "id": "e3d6ac8b", + "id": "37f1fb3a", "metadata": { "editable": true }, @@ -1364,7 +1364,7 @@ }, { "cell_type": "markdown", - "id": "e4b30664", + "id": "7f09606f", "metadata": { "editable": true }, @@ -1378,7 +1378,7 @@ }, { "cell_type": "markdown", - "id": "4cbc0c2c", + "id": "2bb47473", "metadata": { "editable": true }, @@ -1390,7 +1390,7 @@ }, { "cell_type": "markdown", - "id": "5eebcce6", + "id": "dc24ee16", "metadata": { "editable": true }, @@ -1401,7 +1401,7 @@ }, { "cell_type": "markdown", - "id": "47074a74", + "id": "2b6bf8b8", "metadata": { "editable": true }, @@ -1414,7 +1414,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "ebc41f6f", + "id": "9b4a9b35", "metadata": { "collapsed": false, "editable": true @@ -1441,7 +1441,7 @@ }, { "cell_type": "markdown", - "id": "8ea9846d", + "id": "6920c1ce", "metadata": { "editable": true }, @@ -1452,32 +1452,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "e996841a", + "id": "718f1e7a", "metadata": { "collapsed": false, "editable": true }, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'Energies' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "Input \u001b[0;32mIn [2]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m fit \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mlinalg\u001b[38;5;241m.\u001b[39mlstsq(X, \u001b[43mEnergies\u001b[49m, rcond \u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m)[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 2\u001b[0m ytildenp \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mdot(fit,X\u001b[38;5;241m.\u001b[39mT)\n", - "\u001b[0;31mNameError\u001b[0m: name 'Energies' is not defined" - ] - } - ], + "outputs": [], "source": [ - "fit = np.linalg.lstsq(X, Energies, rcond =None)[0]\n", + "fit = np.linalg.lstsq(X, y, rcond =None)[0]\n", "ytildenp = np.dot(fit,X.T)" ] }, { "cell_type": "markdown", - "id": "39f01129", + "id": "302e5daa", "metadata": { "editable": true }, @@ -1491,7 +1479,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "12e52de5", + "id": "8c5ffff3", "metadata": { "collapsed": false, "editable": true @@ -1504,7 +1492,7 @@ }, { "cell_type": "markdown", - "id": "8a0cc628", + "id": "f7dd7bbc", "metadata": { "editable": true }, @@ -1515,19 +1503,27 @@ { "cell_type": "code", "execution_count": 4, - "id": "8c1508b7", + "id": "ec43e44d", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.9952495547161103\n" + ] + } + ], "source": [ - "print(R2(Energies,ytilde))" + "print(R2(y,ytilde))" ] }, { "cell_type": "markdown", - "id": "a3f2f3b1", + "id": "9a26e527", "metadata": { "editable": true }, @@ -1538,23 +1534,31 @@ { "cell_type": "code", "execution_count": 5, - "id": "334780f0", + "id": "1d0fe746", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.00950269957492606\n" + ] + } + ], "source": [ "def MSE(y_data,y_model):\n", " n = np.size(y_model)\n", " return np.sum((y_data-y_model)**2)/n\n", "\n", - "print(MSE(Energies,ytilde))" + "print(MSE(y,ytilde))" ] }, { "cell_type": "markdown", - "id": "1f7cfede", + "id": "abe54d75", "metadata": { "editable": true }, @@ -1565,21 +1569,45 @@ { "cell_type": "code", "execution_count": 6, - "id": "1579c506", + "id": "4872598b", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.0193453 0.01242273 0.01256189 0.01871582 0.02840224 0.05004617\n", + " 0.03536673 0.00706459 0.01326608 0.00817056 0.0443659 0.02090061\n", + " 0.03724642 0.02376036 0.01943082 0.11352543 0.03437582 0.04426816\n", + " 0.0055043 0.00779804 0.00415473 0.01761413 0.01206708 0.0234505\n", + " 0.02928941 0.03893106 0.04678736 0.08370888 0.0739975 0.02035804\n", + " 0.04028979 0.03739417 0.04670006 0.02383034 0.00416461 0.03232719\n", + " 0.0156548 0.00393128 0.0957156 0.01406736 0.02551463 0.00388494\n", + " 0.06432223 0.03509912 0.01422494 0.04787099 0.01323884 0.02803041\n", + " 0.00075315 0.01037947 0.03255258 0.01631138 0.02129803 0.00715835\n", + " 0.00427039 0.02298589 0.00128634 0.00877989 0.00444561 0.0459682\n", + " 0.01751529 0.02917931 0.00791291 0.01207435 0.01960258 0.00431511\n", + " 0.00407056 0.00220229 0.00267599 0.03371334 0.01654471 0.10880921\n", + " 0.07557024 0.01944669 0.01542944 0.07143876 0.0136671 0.00695357\n", + " 0.0021877 0.08084392 0.02862254 0.02701924 0.0499586 0.00202464\n", + " 0.0113975 0.03423556 0.09652672 0.05150928 0.02979908 0.00569317\n", + " 0.00112431 0.00780259 0.01200342 0.00397836 0.06287717 0.00403785\n", + " 0.0068094 0.02086933 0.0165866 0.0066916 ]\n" + ] + } + ], "source": [ "def RelativeError(y_data,y_model):\n", " return abs((y_data-y_model)/y_data)\n", - "print(RelativeError(Energies, ytilde))" + "print(RelativeError(y, ytilde))" ] }, { "cell_type": "markdown", - "id": "88c6c130", + "id": "cd49debc", "metadata": { "editable": true }, @@ -1600,7 +1628,7 @@ }, { "cell_type": "markdown", - "id": "af0baf7f", + "id": "feb6c8a9", "metadata": { "editable": true }, @@ -1611,12 +1639,28 @@ { "cell_type": "code", "execution_count": 7, - "id": "89aa39b5", + "id": "f795be3f", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 1.96769675 -0.05402365 6.44997121 -3.20038136 1.84614066]\n", + "Training R2\n", + "0.996694948530336\n", + "Training MSE\n", + "0.00740173378493795\n", + "Test R2\n", + "0.9920099299023244\n", + "Test MSE\n", + "0.013537225644261203\n" + ] + } + ], "source": [ "%matplotlib inline\n", "\n", @@ -1664,7 +1708,7 @@ }, { "cell_type": "markdown", - "id": "1d86c024", + "id": "c1dcacdd", "metadata": { "editable": true }, @@ -1675,7 +1719,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "2ba16c25", + "id": "bb65da2f", "metadata": { "collapsed": false, "editable": true @@ -1700,7 +1744,7 @@ }, { "cell_type": "markdown", - "id": "8e363f00", + "id": "d0f15172", "metadata": { "editable": true }, @@ -1712,7 +1756,7 @@ }, { "cell_type": "markdown", - "id": "d5ef1be0", + "id": "27edcf08", "metadata": { "editable": true }, @@ -1741,7 +1785,7 @@ }, { "cell_type": "markdown", - "id": "7165f38b", + "id": "09b707cb", "metadata": { "editable": true }, @@ -1766,7 +1810,7 @@ }, { "cell_type": "markdown", - "id": "baea18ad", + "id": "d8258039", "metadata": { "editable": true }, @@ -1786,7 +1830,7 @@ }, { "cell_type": "markdown", - "id": "830be0f9", + "id": "5e673f10", "metadata": { "editable": true }, @@ -1813,7 +1857,7 @@ }, { "cell_type": "markdown", - "id": "72473f2c", + "id": "e1e7c077", "metadata": { "editable": true }, @@ -1826,7 +1870,7 @@ }, { "cell_type": "markdown", - "id": "ad92637f", + "id": "1bc7d9f5", "metadata": { "editable": true }, @@ -1838,7 +1882,7 @@ }, { "cell_type": "markdown", - "id": "928978ac", + "id": "38a02d71", "metadata": { "editable": true }, @@ -1849,7 +1893,7 @@ }, { "cell_type": "markdown", - "id": "31b09189", + "id": "bafdab3d", "metadata": { "editable": true }, @@ -1865,12 +1909,421 @@ { "cell_type": "code", "execution_count": 9, - "id": "c09e81a9", + "id": "294b590a", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "

\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01234
0-1.7497650.3426801.153036-0.2524360.981321
10.5142190.221180-1.070043-0.1894960.255001
2-0.4580270.435163-0.5835950.8168470.672721
3-0.104411-0.5312801.029733-0.438136-1.118318
41.6189821.541605-0.251879-0.8424360.184519
50.9370820.7310001.361556-0.3262380.055676
60.222400-1.443217-0.7563520.8164540.750445
7-0.4559471.189622-1.690617-1.356399-1.232435
8-0.544439-0.6681720.007315-0.6129391.299748
9-1.733096-0.9833100.357508-1.6135791.470714
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3 4\n", + "0 -1.749765 0.342680 1.153036 -0.252436 0.981321\n", + "1 0.514219 0.221180 -1.070043 -0.189496 0.255001\n", + "2 -0.458027 0.435163 -0.583595 0.816847 0.672721\n", + "3 -0.104411 -0.531280 1.029733 -0.438136 -1.118318\n", + "4 1.618982 1.541605 -0.251879 -0.842436 0.184519\n", + "5 0.937082 0.731000 1.361556 -0.326238 0.055676\n", + "6 0.222400 -1.443217 -0.756352 0.816454 0.750445\n", + "7 -0.455947 1.189622 -1.690617 -1.356399 -1.232435\n", + "8 -0.544439 -0.668172 0.007315 -0.612939 1.299748\n", + "9 -1.733096 -0.983310 0.357508 -1.613579 1.470714" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 -0.175300\n", + "1 0.083527\n", + "2 -0.044334\n", + "3 -0.399836\n", + "4 0.331939\n", + "dtype: float64\n", + "0 1.069584\n", + "1 0.965548\n", + "2 1.018232\n", + "3 0.793167\n", + "4 0.918992\n", + "dtype: float64\n" + ] + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01234
0-1.5744650.2591531.1973700.1474000.649382
10.6895190.137652-1.0257090.210340-0.076938
2-0.2827270.351636-0.5392611.2166830.340782
30.070889-0.6148081.074067-0.038300-1.450257
41.7942821.458078-0.207545-0.442600-0.147420
51.1123830.6474731.4058900.073598-0.276263
60.397700-1.526744-0.7120181.2162900.418506
7-0.2806471.106095-1.646283-0.956563-1.564374
8-0.369139-0.7516990.051649-0.2131030.967809
9-1.557795-1.0668370.401842-1.2137431.138775
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3 4\n", + "0 -1.574465 0.259153 1.197370 0.147400 0.649382\n", + "1 0.689519 0.137652 -1.025709 0.210340 -0.076938\n", + "2 -0.282727 0.351636 -0.539261 1.216683 0.340782\n", + "3 0.070889 -0.614808 1.074067 -0.038300 -1.450257\n", + "4 1.794282 1.458078 -0.207545 -0.442600 -0.147420\n", + "5 1.112383 0.647473 1.405890 0.073598 -0.276263\n", + "6 0.397700 -1.526744 -0.712018 1.216290 0.418506\n", + "7 -0.280647 1.106095 -1.646283 -0.956563 -1.564374\n", + "8 -0.369139 -0.751699 0.051649 -0.213103 0.967809\n", + "9 -1.557795 -1.066837 0.401842 -1.213743 1.138775" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
01234
00.00.00.00.00.0
10.00.00.00.00.0
20.00.00.00.00.0
30.00.00.00.00.0
40.00.00.00.00.0
50.00.00.00.00.0
60.00.00.00.00.0
70.00.00.00.00.0
80.00.00.00.00.0
90.00.00.00.00.0
\n", + "
" + ], + "text/plain": [ + " 0 1 2 3 4\n", + "0 0.0 0.0 0.0 0.0 0.0\n", + "1 0.0 0.0 0.0 0.0 0.0\n", + "2 0.0 0.0 0.0 0.0 0.0\n", + "3 0.0 0.0 0.0 0.0 0.0\n", + "4 0.0 0.0 0.0 0.0 0.0\n", + "5 0.0 0.0 0.0 0.0 0.0\n", + "6 0.0 0.0 0.0 0.0 0.0\n", + "7 0.0 0.0 0.0 0.0 0.0\n", + "8 0.0 0.0 0.0 0.0 0.0\n", + "9 0.0 0.0 0.0 0.0 0.0" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "import sklearn.linear_model as skl\n", "from sklearn.metrics import mean_squared_error\n", @@ -1899,7 +2352,7 @@ }, { "cell_type": "markdown", - "id": "8ffeb0f1", + "id": "850c6ed7", "metadata": { "editable": true }, @@ -1909,7 +2362,7 @@ }, { "cell_type": "markdown", - "id": "2b1f32da", + "id": "b12c577b", "metadata": { "editable": true }, @@ -1924,7 +2377,7 @@ }, { "cell_type": "markdown", - "id": "3c2f9703", + "id": "9b14e6b2", "metadata": { "editable": true }, @@ -1936,7 +2389,7 @@ }, { "cell_type": "markdown", - "id": "15382f87", + "id": "e1cc06ab", "metadata": { "editable": true }, @@ -1946,7 +2399,7 @@ }, { "cell_type": "markdown", - "id": "a04fe6a8", + "id": "a0015d80", "metadata": { "editable": true }, @@ -1962,7 +2415,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "de5a8426", + "id": "724d55a7", "metadata": { "collapsed": false, "editable": true @@ -1979,7 +2432,7 @@ }, { "cell_type": "markdown", - "id": "815c116c", + "id": "1fea5895", "metadata": { "editable": true }, @@ -1992,12 +2445,27 @@ { "cell_type": "code", "execution_count": 11, - "id": "c9049720", + "id": "faef60d3", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week35_146_0.png" + } + }, + "output_type": "display_data" + } + ], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", @@ -2039,7 +2507,7 @@ }, { "cell_type": "markdown", - "id": "c6fb36f0", + "id": "1890cfb6", "metadata": { "editable": true }, @@ -2050,12 +2518,45 @@ { "cell_type": "code", "execution_count": 12, - "id": "d02afd53", + "id": "2da1b274", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MSE before scaling: 0.00\n", + "R2 score before scaling 1.00\n", + "Feature min values before scaling:\n", + " [1.00000000e+00 6.97906022e-03 2.43639284e-03 4.87072815e-05\n", + " 1.70037324e-05 5.93601008e-06 3.39931051e-07 1.18670072e-07\n", + " 4.14277718e-08 1.44624525e-08 2.37239927e-09 8.28205578e-10\n", + " 2.89126914e-10 1.00934327e-10 3.52362157e-11 1.65571174e-11\n", + " 5.78009660e-12 2.01783414e-12 7.04426744e-13 2.45915671e-13\n", + " 8.58492636e-14]\n", + "Feature max values before scaling:\n", + " [1. 0.99970894 0.99978365 0.99941797 0.99949266 0.99956735\n", + " 0.99912709 0.99920175 0.99927642 0.9993511 0.99883628 0.99891093\n", + " 0.99898558 0.99906023 0.99913489 0.99854557 0.99862019 0.99869482\n", + " 0.99876945 0.99884409 0.99891873]\n", + "Feature min values after scaling:\n", + " [ 0. -1.71761101 -1.75770568 -1.12330033 -1.12591227 -1.12871842\n", + " -0.88613493 -0.884669 -0.88323026 -0.88182591 -0.75269037 -0.75050135\n", + " -0.74829661 -0.74607851 -0.74384949 -0.6652177 -0.66294408 -0.66064822\n", + " -0.65833132 -0.65599456 -0.6536392 ]\n", + "Feature max values after scaling:\n", + " [0. 1.71737253 1.75576555 2.20916295 2.23971032 2.26995402\n", + " 2.60543038 2.63162342 2.65743689 2.68286725 2.94273542 2.96631321\n", + " 2.98947894 3.01222822 3.034557 3.24159785 3.26297455 3.28391978\n", + " 3.30442964 3.32450054 3.34412923]\n", + "MSE after scaling: 0.00\n", + "R2 score for scaled data: 1.00\n" + ] + } + ], "source": [ "# Common imports\n", "import os\n", @@ -2153,7 +2654,7 @@ }, { "cell_type": "markdown", - "id": "4d3d0315", + "id": "d22da0ce", "metadata": { "editable": true }, @@ -2181,7 +2682,7 @@ }, { "cell_type": "markdown", - "id": "1bf26037", + "id": "22d39bed", "metadata": { "editable": true }, @@ -2216,7 +2717,7 @@ }, { "cell_type": "markdown", - "id": "1a9303d9", + "id": "318d5501", "metadata": { "editable": true }, @@ -2224,13 +2725,14 @@ "## Still thinking\n", "\n", "Keep in mind that when you transform your data set before training a model, the same transformation needs to be done\n", - "on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows" + "on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows\n", + "(note that the lines are commented since the model function has not been defined)" ] }, { "cell_type": "code", "execution_count": 13, - "id": "add41c28", + "id": "ef5c6851", "metadata": { "collapsed": false, "editable": true @@ -2244,18 +2746,18 @@ "y_train = y_train - y_train_mean\n", "\n", "# The we fit our model with the training data\n", - "trained_model = some_model.fit(X_train,y_train)\n", + "#trained_model = some_model.fit(X_train,y_train)\n", "\n", "\n", "#Model prediction, we need also to transform our data set used for the prediction.\n", "X_test = X_test - X_train_mean #Use mean from training data\n", - "y_pred = trained_model(X_test)\n", + "#y_pred = trained_model(X_test)\n", "y_pred = y_pred + y_train_mean" ] }, { "cell_type": "markdown", - "id": "cbad62c2", + "id": "ead7dac2", "metadata": { "editable": true }, @@ -2271,7 +2773,7 @@ }, { "cell_type": "markdown", - "id": "77b3f4a0", + "id": "00912cf1", "metadata": { "editable": true }, @@ -2283,7 +2785,7 @@ }, { "cell_type": "markdown", - "id": "2054bdc7", + "id": "c0fea765", "metadata": { "editable": true }, @@ -2298,7 +2800,7 @@ }, { "cell_type": "markdown", - "id": "d7f64d04", + "id": "0f330af0", "metadata": { "editable": true }, @@ -2310,7 +2812,7 @@ }, { "cell_type": "markdown", - "id": "6ebe45a1", + "id": "0063f1ef", "metadata": { "editable": true }, @@ -2320,7 +2822,7 @@ }, { "cell_type": "markdown", - "id": "8cc21b6a", + "id": "150701f3", "metadata": { "editable": true }, @@ -2332,7 +2834,7 @@ }, { "cell_type": "markdown", - "id": "71b87ff9", + "id": "610464ba", "metadata": { "editable": true }, @@ -2342,7 +2844,7 @@ }, { "cell_type": "markdown", - "id": "b15ee5de", + "id": "9953d5f6", "metadata": { "editable": true }, @@ -2354,7 +2856,7 @@ }, { "cell_type": "markdown", - "id": "56e808e5", + "id": "2e8884f7", "metadata": { "editable": true }, @@ -2367,7 +2869,7 @@ }, { "cell_type": "markdown", - "id": "59b1fcf5", + "id": "61c277e8", "metadata": { "editable": true }, @@ -2379,7 +2881,7 @@ }, { "cell_type": "markdown", - "id": "fe9af8e4", + "id": "1222f5a3", "metadata": { "editable": true }, @@ -2389,7 +2891,7 @@ }, { "cell_type": "markdown", - "id": "39d0535d", + "id": "34a214bc", "metadata": { "editable": true }, @@ -2401,7 +2903,7 @@ }, { "cell_type": "markdown", - "id": "b05e083e", + "id": "7caaea7b", "metadata": { "editable": true }, @@ -2411,7 +2913,7 @@ }, { "cell_type": "markdown", - "id": "255d5f87", + "id": "edb19ced", "metadata": { "editable": true }, @@ -2423,7 +2925,7 @@ }, { "cell_type": "markdown", - "id": "863f9c03", + "id": "e1702b6a", "metadata": { "editable": true }, @@ -2433,7 +2935,7 @@ }, { "cell_type": "markdown", - "id": "fe1719c8", + "id": "27f88d49", "metadata": { "editable": true }, @@ -2445,7 +2947,7 @@ }, { "cell_type": "markdown", - "id": "11bf9275", + "id": "a5a8eb56", "metadata": { "editable": true }, @@ -2455,7 +2957,7 @@ }, { "cell_type": "markdown", - "id": "58a73e37", + "id": "79df257f", "metadata": { "editable": true }, @@ -2467,7 +2969,7 @@ }, { "cell_type": "markdown", - "id": "2ee6e0ab", + "id": "0507e2db", "metadata": { "editable": true }, @@ -2477,7 +2979,7 @@ }, { "cell_type": "markdown", - "id": "4aa55bc2", + "id": "3cd0e008", "metadata": { "editable": true }, @@ -2489,7 +2991,7 @@ }, { "cell_type": "markdown", - "id": "e7dd951c", + "id": "aeb2df6c", "metadata": { "editable": true }, @@ -2499,7 +3001,7 @@ }, { "cell_type": "markdown", - "id": "b0b56f12", + "id": "c2895f0c", "metadata": { "editable": true }, @@ -2511,7 +3013,7 @@ }, { "cell_type": "markdown", - "id": "2fa4cfc7", + "id": "0f9bcdef", "metadata": { "editable": true }, @@ -2523,7 +3025,7 @@ }, { "cell_type": "markdown", - "id": "cc6fe7e2", + "id": "5cce6012", "metadata": { "editable": true }, @@ -2535,7 +3037,7 @@ }, { "cell_type": "markdown", - "id": "d121682c", + "id": "9fefc43f", "metadata": { "editable": true }, @@ -2548,7 +3050,7 @@ }, { "cell_type": "markdown", - "id": "94aef78e", + "id": "1ab1590a", "metadata": { "editable": true }, @@ -2560,7 +3062,7 @@ }, { "cell_type": "markdown", - "id": "8d595a8d", + "id": "6aca143e", "metadata": { "editable": true }, @@ -2570,7 +3072,7 @@ }, { "cell_type": "markdown", - "id": "67d81f01", + "id": "0600266f", "metadata": { "editable": true }, @@ -2584,12 +3086,48 @@ { "cell_type": "code", "execution_count": 14, - "id": "39da9a38", + "id": "226e69de", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True beta: [2, 0.5, 3.7]\n", + "Fitted beta: [2.08376632 0.19569961 3.97898392]\n", + "Sklearn fitted beta: [2.08376632 0.19569961 3.97898392]\n", + "MSE with intercept column\n", + "0.004113634617443139\n", + "MSE with intercept column from SKL\n", + "0.004113634617443147\n", + "Manual intercept: 2.083766322923899\n", + "Fitted beta (wiothout intercept): [0.19569961 3.97898392]\n", + "Sklearn intercept: 2.0837663229239043\n", + "Sklearn fitted beta (without intercept): [0.19569961 3.97898392]\n", + "MSE with Manual intercept\n", + "0.00411363461744314\n", + "MSE with Sklearn intercept\n", + "0.004113634617443131\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week35_181_1.png" + } + }, + "output_type": "display_data" + } + ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", @@ -2681,7 +3219,7 @@ }, { "cell_type": "markdown", - "id": "257ce2f2", + "id": "9213cccf", "metadata": { "editable": true }, @@ -2702,7 +3240,7 @@ }, { "cell_type": "markdown", - "id": "3769097f", + "id": "b3cfb0e6", "metadata": { "editable": true }, @@ -2714,7 +3252,7 @@ }, { "cell_type": "markdown", - "id": "82fc22ad", + "id": "97ae99f6", "metadata": { "editable": true }, @@ -2724,7 +3262,7 @@ }, { "cell_type": "markdown", - "id": "dea71d52", + "id": "d4fffebc", "metadata": { "editable": true }, @@ -2736,7 +3274,7 @@ }, { "cell_type": "markdown", - "id": "113f6e87", + "id": "ba5ce507", "metadata": { "editable": true }, @@ -2746,7 +3284,7 @@ }, { "cell_type": "markdown", - "id": "1e3b78e5", + "id": "1bef4ab0", "metadata": { "editable": true }, @@ -2758,7 +3296,7 @@ }, { "cell_type": "markdown", - "id": "d936547b", + "id": "7af18264", "metadata": { "editable": true }, @@ -2774,7 +3312,7 @@ }, { "cell_type": "markdown", - "id": "7c57b1e6", + "id": "e56bf1a5", "metadata": { "editable": true }, @@ -2818,7 +3356,7 @@ }, { "cell_type": "markdown", - "id": "41d26913", + "id": "27ec7b5d", "metadata": { "editable": true }, @@ -2830,7 +3368,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "bf2d2a51", + "id": "0cd3f8ad", "metadata": { "collapsed": false, "editable": true @@ -2846,7 +3384,7 @@ }, { "cell_type": "markdown", - "id": "d7d26ad9", + "id": "f3dfac97", "metadata": { "editable": true }, @@ -2857,12 +3395,65 @@ { "cell_type": "code", "execution_count": 16, - "id": "7b725195", + "id": "3bf63b2c", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/sklearn/utils/deprecation.py:87: FutureWarning: Function load_boston is deprecated; `load_boston` is deprecated in 1.0 and will be removed in 1.2.\n", + "\n", + " The Boston housing prices dataset has an ethical problem. You can refer to\n", + " the documentation of this function for further details.\n", + "\n", + " The scikit-learn maintainers therefore strongly discourage the use of this\n", + " dataset unless the purpose of the code is to study and educate about\n", + " ethical issues in data science and machine learning.\n", + "\n", + " In this special case, you can fetch the dataset from the original\n", + " source::\n", + "\n", + " import pandas as pd\n", + " import numpy as np\n", + "\n", + "\n", + " data_url = \"http://lib.stat.cmu.edu/datasets/boston\"\n", + " raw_df = pd.read_csv(data_url, sep=\"\\s+\", skiprows=22, header=None)\n", + " data = np.hstack([raw_df.values[::2, :], raw_df.values[1::2, :2]])\n", + " target = raw_df.values[1::2, 2]\n", + "\n", + " Alternative datasets include the California housing dataset (i.e.\n", + " :func:`~sklearn.datasets.fetch_california_housing`) and the Ames housing\n", + " dataset. You can load the datasets as follows::\n", + "\n", + " from sklearn.datasets import fetch_california_housing\n", + " housing = fetch_california_housing()\n", + "\n", + " for the California housing dataset and::\n", + "\n", + " from sklearn.datasets import fetch_openml\n", + " housing = fetch_openml(name=\"house_prices\", as_frame=True)\n", + "\n", + " for the Ames housing dataset.\n", + " \n", + " warnings.warn(msg, category=FutureWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "dict_keys(['data', 'target', 'feature_names', 'DESCR', 'filename', 'data_module'])" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from sklearn.datasets import load_boston\n", "\n", @@ -2875,7 +3466,7 @@ }, { "cell_type": "markdown", - "id": "4b578dbb", + "id": "50d878e1", "metadata": { "editable": true }, @@ -2886,7 +3477,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "670a51a0", + "id": "c97bd84c", "metadata": { "collapsed": false, "editable": true @@ -2900,7 +3491,7 @@ }, { "cell_type": "markdown", - "id": "ad921def", + "id": "1c352f56", "metadata": { "editable": true }, @@ -2911,12 +3502,37 @@ { "cell_type": "code", "execution_count": 18, - "id": "2d0a0044", + "id": "3af4a28f", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "CRIM 0\n", + "ZN 0\n", + "INDUS 0\n", + "CHAS 0\n", + "NOX 0\n", + "RM 0\n", + "AGE 0\n", + "DIS 0\n", + "RAD 0\n", + "TAX 0\n", + "PTRATIO 0\n", + "B 0\n", + "LSTAT 0\n", + "MEDV 0\n", + "dtype: int64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# check for missing values in all the columns\n", "boston.isnull().sum()" @@ -2924,7 +3540,7 @@ }, { "cell_type": "markdown", - "id": "8ec52805", + "id": "5b7915d7", "metadata": { "editable": true }, @@ -2935,12 +3551,35 @@ { "cell_type": "code", "execution_count": 19, - "id": "a7648df4", + "id": "8fa83210", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n", + " warnings.warn(msg, FutureWarning)\n" + ] + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week35_199_1.png" + } + }, + "output_type": "display_data" + } + ], "source": [ "# set the size of the figure\n", "sns.set(rc={'figure.figsize':(11.7,8.27)})\n", @@ -2952,7 +3591,7 @@ }, { "cell_type": "markdown", - "id": "8e911148", + "id": "66252887", "metadata": { "editable": true }, @@ -2963,12 +3602,37 @@ { "cell_type": "code", "execution_count": 20, - "id": "4420c7f9", + "id": "3f5592ff", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week35_201_1.png" + } + }, + "output_type": "display_data" + } + ], "source": [ "# compute the pair wise correlation for all columns \n", "correlation_matrix = boston.corr().round(2)\n", @@ -2979,7 +3643,7 @@ }, { "cell_type": "markdown", - "id": "b7580acd", + "id": "9c736212", "metadata": { "editable": true }, @@ -2990,12 +3654,27 @@ { "cell_type": "code", "execution_count": 21, - "id": "2a0930b1", + "id": "a5bce93f", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week35_203_0.png" + } + }, + "output_type": "display_data" + } + ], "source": [ "plt.figure(figsize=(20, 5))\n", "\n", @@ -3014,7 +3693,7 @@ }, { "cell_type": "markdown", - "id": "49423ebd", + "id": "14f7841e", "metadata": { "editable": true }, @@ -3025,7 +3704,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "5841e8ee", + "id": "4833ba51", "metadata": { "collapsed": false, "editable": true @@ -3038,7 +3717,7 @@ }, { "cell_type": "markdown", - "id": "de1c7a1d", + "id": "70cd6f55", "metadata": { "editable": true }, @@ -3049,12 +3728,23 @@ { "cell_type": "code", "execution_count": 23, - "id": "8d3ce90a", + "id": "d49e02fd", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(404, 2)\n", + "(102, 2)\n", + "(404,)\n", + "(102,)\n" + ] + } + ], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", @@ -3069,7 +3759,7 @@ }, { "cell_type": "markdown", - "id": "b243c849", + "id": "d9d04195", "metadata": { "editable": true }, @@ -3080,12 +3770,29 @@ { "cell_type": "code", "execution_count": 24, - "id": "83abda14", + "id": "c0ad295c", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The model performance for training set\n", + "--------------------------------------\n", + "RMSE is 5.637129335071195\n", + "R2 score is 0.6300745149331701\n", + "\n", + "\n", + "The model performance for testing set\n", + "--------------------------------------\n", + "RMSE is 5.137400784702911\n", + "R2 score is 0.6628996975186953\n" + ] + } + ], "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import mean_squared_error, r2_score\n", @@ -3123,12 +3830,27 @@ { "cell_type": "code", "execution_count": 25, - "id": "c1bda3a1", + "id": "d13d09f4", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "filenames": { + "image/png": "/Users/mhjensen/Teaching/MachineLearning/doc/LectureNotes/_build/jupyter_execute/week35_210_0.png" + } + }, + "output_type": "display_data" + } + ], "source": [ "# plotting the y_test vs y_pred\n", "# ideally should have been a straight line\n", @@ -3138,7 +3860,7 @@ }, { "cell_type": "markdown", - "id": "494e99e1", + "id": "cc3450eb", "metadata": { "editable": true }, @@ -3148,7 +3870,7 @@ }, { "cell_type": "markdown", - "id": "d496f2b6", + "id": "7fb81b2b", "metadata": { "editable": true }, @@ -3162,7 +3884,7 @@ }, { "cell_type": "markdown", - "id": "617544ab", + "id": "8a6c5791", "metadata": { "editable": true }, @@ -3174,7 +3896,7 @@ }, { "cell_type": "markdown", - "id": "deb3a5c0", + "id": "cb0f6ee4", "metadata": { "editable": true }, @@ -3186,7 +3908,7 @@ }, { "cell_type": "markdown", - "id": "1e29d04b", + "id": "de9ae3b5", "metadata": { "editable": true }, @@ -3198,7 +3920,7 @@ }, { "cell_type": "markdown", - "id": "e7f06cd3", + "id": "819d0d3e", "metadata": { "editable": true }, @@ -3208,7 +3930,7 @@ }, { "cell_type": "markdown", - "id": "61fbb179", + "id": "c793ecc3", "metadata": { "editable": true }, @@ -3220,7 +3942,7 @@ }, { "cell_type": "markdown", - "id": "715d0808", + "id": "d9f77aa9", "metadata": { "editable": true }, @@ -3230,7 +3952,7 @@ }, { "cell_type": "markdown", - "id": "e9af9b81", + "id": "5e2de101", "metadata": { "editable": true }, @@ -3242,7 +3964,7 @@ }, { "cell_type": "markdown", - "id": "ce0a6494", + "id": "a20db730", "metadata": { "editable": true }, @@ -3253,7 +3975,7 @@ }, { "cell_type": "markdown", - "id": "a9680e79", + "id": "b5a36020", "metadata": { "editable": true }, @@ -3265,7 +3987,7 @@ }, { "cell_type": "markdown", - "id": "77b2c7f1", + "id": "a472cb0c", "metadata": { "editable": true }, @@ -3277,7 +3999,7 @@ }, { "cell_type": "markdown", - "id": "00bc0981", + "id": "6fd733f2", "metadata": { "editable": true }, @@ -3287,7 +4009,7 @@ }, { "cell_type": "markdown", - "id": "a5870049", + "id": "89c04844", "metadata": { "editable": true }, @@ -3299,7 +4021,7 @@ }, { "cell_type": "markdown", - "id": "8f53c1ca", + "id": "84c75cdb", "metadata": { "editable": true }, @@ -3311,7 +4033,7 @@ }, { "cell_type": "markdown", - "id": "ac5e957f", + "id": "afe05d8e", "metadata": { "editable": true }, @@ -3321,7 +4043,7 @@ }, { "cell_type": "markdown", - "id": "b949e361", + "id": "690c8d0f", "metadata": { "editable": true }, @@ -3333,7 +4055,7 @@ }, { "cell_type": "markdown", - "id": "bf9ebc2b", + "id": "89db317c", "metadata": { "editable": true }, @@ -3343,7 +4065,7 @@ }, { "cell_type": "markdown", - "id": "8f15c266", + "id": "99c23fd7", "metadata": { "editable": true }, @@ -3355,7 +4077,7 @@ }, { "cell_type": "markdown", - "id": "4f791b65", + "id": "3b2888f7", "metadata": { "editable": true }, @@ -3365,7 +4087,7 @@ }, { "cell_type": "markdown", - "id": "e8017b1c", + "id": "92138431", "metadata": { "editable": true }, @@ -3405,7 +4127,7 @@ }, { "cell_type": "markdown", - "id": "2996bc1f", + "id": "dc5944b2", "metadata": { "editable": true }, @@ -3422,7 +4144,7 @@ }, { "cell_type": "markdown", - "id": "2b6b0946", + "id": "7b505cdb", "metadata": { "editable": true }, @@ -3445,7 +4167,7 @@ }, { "cell_type": "markdown", - "id": "93e7e61f", + "id": "be293d2a", "metadata": { "editable": true }, @@ -3462,7 +4184,7 @@ }, { "cell_type": "markdown", - "id": "fe419623", + "id": "3bc83bb8", "metadata": { "editable": true }, @@ -3481,7 +4203,7 @@ }, { "cell_type": "markdown", - "id": "e2140a9e", + "id": "4ac0b4e7", "metadata": { "editable": true }, @@ -3492,7 +4214,7 @@ }, { "cell_type": "markdown", - "id": "ffcb729e", + "id": "c716f31f", "metadata": { "editable": true }, @@ -3504,7 +4226,7 @@ }, { "cell_type": "markdown", - "id": "5140ddae", + "id": "32ba7049", "metadata": { "editable": true }, @@ -3522,7 +4244,7 @@ }, { "cell_type": "markdown", - "id": "7bb98440", + "id": "50d2e066", "metadata": { "editable": true }, @@ -3538,7 +4260,7 @@ }, { "cell_type": "markdown", - "id": "5611679a", + "id": "49ffe594", "metadata": { "editable": true }, @@ -3550,7 +4272,7 @@ }, { "cell_type": "markdown", - "id": "f32c0eb4", + "id": "d590b9f1", "metadata": { "editable": true }, @@ -3560,7 +4282,7 @@ }, { "cell_type": "markdown", - "id": "415f02af", + "id": "ed99e76d", "metadata": { "editable": true }, @@ -3575,7 +4297,7 @@ }, { "cell_type": "markdown", - "id": "c28567b8", + "id": "c86c70ca", "metadata": { "editable": true }, @@ -3587,7 +4309,7 @@ }, { "cell_type": "markdown", - "id": "936af9ce", + "id": "92f362bd", "metadata": { "editable": true }, @@ -3597,7 +4319,7 @@ }, { "cell_type": "markdown", - "id": "308f2aa4", + "id": "b947d722", "metadata": { "editable": true }, @@ -3609,7 +4331,7 @@ }, { "cell_type": "markdown", - "id": "d74a5600", + "id": "48573eb6", "metadata": { "editable": true }, @@ -3619,7 +4341,7 @@ }, { "cell_type": "markdown", - "id": "3d5f8482", + "id": "90fa4f26", "metadata": { "editable": true }, @@ -3631,7 +4353,7 @@ }, { "cell_type": "markdown", - "id": "b4eaa6e3", + "id": "18a9a6c1", "metadata": { "editable": true }, @@ -3643,7 +4365,7 @@ }, { "cell_type": "markdown", - "id": "0b821498", + "id": "84442c6a", "metadata": { "editable": true }, @@ -3658,7 +4380,7 @@ }, { "cell_type": "markdown", - "id": "d38da336", + "id": "dbaaac22", "metadata": { "editable": true }, @@ -3669,7 +4391,7 @@ }, { "cell_type": "markdown", - "id": "98b0ae03", + "id": "5fac6b95", "metadata": { "editable": true }, @@ -3689,7 +4411,7 @@ }, { "cell_type": "markdown", - "id": "d4ba8f69", + "id": "23536fbf", "metadata": { "editable": true }, @@ -3701,7 +4423,7 @@ }, { "cell_type": "markdown", - "id": "52bb4456", + "id": "d9a27268", "metadata": { "editable": true }, @@ -3711,7 +4433,7 @@ }, { "cell_type": "markdown", - "id": "6ec33a01", + "id": "016c8eec", "metadata": { "editable": true }, @@ -3723,7 +4445,7 @@ }, { "cell_type": "markdown", - "id": "b39cac82", + "id": "e4ce71bc", "metadata": { "editable": true }, @@ -3752,7 +4474,7 @@ }, { "cell_type": "markdown", - "id": "d2595a2e", + "id": "5be6cb84", "metadata": { "editable": true }, @@ -3779,7 +4501,7 @@ }, { "cell_type": "markdown", - "id": "427fb028", + "id": "d14ba489", "metadata": { "editable": true }, @@ -3790,12 +4512,34 @@ { "cell_type": "code", "execution_count": 26, - "id": "0bbd4699", + "id": "dbf16459", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[ 1. -1.]\n", + " [ 1. -1.]]\n", + "test U\n", + "[[0. 0.]\n", + " [0. 0.]]\n", + "test VT\n", + "[[0. 0.]\n", + " [0. 0.]]\n", + "[[-0.70710678 -0.70710678]\n", + " [-0.70710678 0.70710678]]\n", + "[2.00000000e+00 3.35470445e-17]\n", + "[[-0.70710678 0.70710678]\n", + " [ 0.70710678 0.70710678]]\n", + "[[-3.33066907e-16 4.44089210e-16]\n", + " [ 0.00000000e+00 2.22044605e-16]]\n" + ] + } + ], "source": [ "import numpy as np\n", "# SVD inversion\n", @@ -3830,7 +4574,7 @@ }, { "cell_type": "markdown", - "id": "2430babb", + "id": "ad89e7fb", "metadata": { "editable": true }, @@ -3847,7 +4591,7 @@ }, { "cell_type": "markdown", - "id": "4761f74a", + "id": "1e193edc", "metadata": { "editable": true }, @@ -3870,7 +4614,7 @@ }, { "cell_type": "markdown", - "id": "ffe52fdc", + "id": "95172c4d", "metadata": { "editable": true }, @@ -3884,7 +4628,7 @@ }, { "cell_type": "markdown", - "id": "c810c7eb", + "id": "3ff6f79c", "metadata": { "editable": true }, @@ -3903,7 +4647,7 @@ }, { "cell_type": "markdown", - "id": "fa17e262", + "id": "1ec8d8dd", "metadata": { "editable": true }, @@ -3913,7 +4657,7 @@ }, { "cell_type": "markdown", - "id": "e7411ce2", + "id": "0c8ca808", "metadata": { "editable": true }, @@ -3925,7 +4669,7 @@ }, { "cell_type": "markdown", - "id": "40d9144e", + "id": "3a3509c9", "metadata": { "editable": true }, @@ -3939,7 +4683,7 @@ }, { "cell_type": "markdown", - "id": "28cd0268", + "id": "a4d8b83c", "metadata": { "editable": true }, @@ -3951,7 +4695,7 @@ }, { "cell_type": "markdown", - "id": "e72c1658", + "id": "b29a7c37", "metadata": { "editable": true }, @@ -3961,7 +4705,7 @@ }, { "cell_type": "markdown", - "id": "9e8284ec", + "id": "ede04bd6", "metadata": { "editable": true }, @@ -3973,7 +4717,7 @@ }, { "cell_type": "markdown", - "id": "39c798c9", + "id": "b98dcf9b", "metadata": { "editable": true }, @@ -3990,7 +4734,7 @@ }, { "cell_type": "markdown", - "id": "93cf6fd3", + "id": "43562c74", "metadata": { "editable": true }, @@ -4000,7 +4744,7 @@ }, { "cell_type": "markdown", - "id": "c99559d1", + "id": "bbd63581", "metadata": { "editable": true }, @@ -4016,7 +4760,7 @@ }, { "cell_type": "markdown", - "id": "199187d7", + "id": "b8ae028f", "metadata": { "editable": true }, @@ -4026,7 +4770,7 @@ }, { "cell_type": "markdown", - "id": "164f8c17", + "id": "4f278714", "metadata": { "editable": true }, @@ -4042,7 +4786,7 @@ }, { "cell_type": "markdown", - "id": "5e9fd974", + "id": "73a8abd7", "metadata": { "editable": true }, @@ -4052,7 +4796,7 @@ }, { "cell_type": "markdown", - "id": "8e07a82d", + "id": "bb958405", "metadata": { "editable": true }, @@ -4068,7 +4812,7 @@ }, { "cell_type": "markdown", - "id": "b0bf5db6", + "id": "5d4c44a6", "metadata": { "editable": true }, @@ -4078,7 +4822,7 @@ }, { "cell_type": "markdown", - "id": "aecfc56d", + "id": "801aa550", "metadata": { "editable": true }, @@ -4095,7 +4839,7 @@ }, { "cell_type": "markdown", - "id": "73b4475e", + "id": "65642f1a", "metadata": { "editable": true }, @@ -4107,7 +4851,7 @@ }, { "cell_type": "markdown", - "id": "54057ff8", + "id": "a48c5cd1", "metadata": { "editable": true }, @@ -4119,7 +4863,7 @@ }, { "cell_type": "markdown", - "id": "ff974462", + "id": "da759789", "metadata": { "editable": true }, @@ -4131,7 +4875,7 @@ }, { "cell_type": "markdown", - "id": "e5daa192", + "id": "134025d9", "metadata": { "editable": true }, @@ -4141,7 +4885,7 @@ }, { "cell_type": "markdown", - "id": "dc9f0f7b", + "id": "70d9b4be", "metadata": { "editable": true }, @@ -4153,7 +4897,7 @@ }, { "cell_type": "markdown", - "id": "f9b10560", + "id": "cf77b392", "metadata": { "editable": true }, @@ -4165,7 +4909,7 @@ }, { "cell_type": "markdown", - "id": "66a948a0", + "id": "c255027a", "metadata": { "editable": true }, @@ -4177,7 +4921,7 @@ }, { "cell_type": "markdown", - "id": "55d9dbd1", + "id": "d0b31bf6", "metadata": { "editable": true }, @@ -4187,7 +4931,7 @@ }, { "cell_type": "markdown", - "id": "c2b7da0d", + "id": "0a612558", "metadata": { "editable": true }, @@ -4199,7 +4943,7 @@ }, { "cell_type": "markdown", - "id": "ff1c658b", + "id": "0728614a", "metadata": { "editable": true }, @@ -4209,7 +4953,7 @@ }, { "cell_type": "markdown", - "id": "3d7050b0", + "id": "bb5e5456", "metadata": { "editable": true }, @@ -4221,7 +4965,7 @@ }, { "cell_type": "markdown", - "id": "dced3eca", + "id": "fa670de8", "metadata": { "editable": true }, @@ -4235,7 +4979,7 @@ }, { "cell_type": "markdown", - "id": "44ec48f0", + "id": "84aff359", "metadata": { "editable": true }, @@ -4247,7 +4991,7 @@ }, { "cell_type": "markdown", - "id": "ef5a3989", + "id": "a335c378", "metadata": { "editable": true }, @@ -4259,7 +5003,7 @@ }, { "cell_type": "markdown", - "id": "6d7071a0", + "id": "4d8edf94", "metadata": { "editable": true }, @@ -4269,7 +5013,7 @@ }, { "cell_type": "markdown", - "id": "a37c0651", + "id": "865b7d40", "metadata": { "editable": true }, @@ -4281,7 +5025,7 @@ }, { "cell_type": "markdown", - "id": "9cd481cc", + "id": "f38bf7b3", "metadata": { "editable": true }, @@ -4292,7 +5036,7 @@ }, { "cell_type": "markdown", - "id": "e8cd56b7", + "id": "ad9415b7", "metadata": { "editable": true }, @@ -4304,7 +5048,7 @@ }, { "cell_type": "markdown", - "id": "3a629b1b", + "id": "95c11e25", "metadata": { "editable": true }, @@ -4314,7 +5058,7 @@ }, { "cell_type": "markdown", - "id": "2fbf21c7", + "id": "8548d242", "metadata": { "editable": true }, @@ -4326,7 +5070,7 @@ }, { "cell_type": "markdown", - "id": "5951205a", + "id": "f1db2a77", "metadata": { "editable": true }, @@ -4336,7 +5080,7 @@ }, { "cell_type": "markdown", - "id": "53caa2e2", + "id": "07ea95f3", "metadata": { "editable": true }, @@ -4348,7 +5092,7 @@ }, { "cell_type": "markdown", - "id": "64b903b4", + "id": "db8e4f05", "metadata": { "editable": true }, @@ -4359,7 +5103,7 @@ }, { "cell_type": "markdown", - "id": "df6a66b3", + "id": "7bf990ec", "metadata": { "editable": true }, @@ -4371,7 +5115,7 @@ }, { "cell_type": "markdown", - "id": "ffe2f537", + "id": "2214c64c", "metadata": { "editable": true }, @@ -4389,7 +5133,7 @@ }, { "cell_type": "markdown", - "id": "3c291471", + "id": "a4afcd3b", "metadata": { "editable": true }, @@ -4405,7 +5149,7 @@ }, { "cell_type": "markdown", - "id": "0a3f9a94", + "id": "4b8592eb", "metadata": { "editable": true }, @@ -4417,7 +5161,7 @@ }, { "cell_type": "markdown", - "id": "9e121ab9", + "id": "cccf40cb", "metadata": { "editable": true }, @@ -4429,7 +5173,7 @@ }, { "cell_type": "markdown", - "id": "8af98d79", + "id": "449fb07f", "metadata": { "editable": true }, @@ -4441,7 +5185,7 @@ }, { "cell_type": "markdown", - "id": "f8df9cb1", + "id": "b0635a59", "metadata": { "editable": true }, @@ -4454,7 +5198,7 @@ }, { "cell_type": "markdown", - "id": "19bfd403", + "id": "1a769266", "metadata": { "editable": true }, @@ -4470,7 +5214,7 @@ }, { "cell_type": "markdown", - "id": "c1ec9cb3", + "id": "5ebdd0e3", "metadata": { "editable": true }, @@ -4484,7 +5228,7 @@ }, { "cell_type": "markdown", - "id": "4346796e", + "id": "87f04ca9", "metadata": { "editable": true }, @@ -4494,7 +5238,7 @@ }, { "cell_type": "markdown", - "id": "cda3d8a7", + "id": "30d1ebd7", "metadata": { "editable": true }, @@ -4506,7 +5250,7 @@ }, { "cell_type": "markdown", - "id": "7cf1e6d8", + "id": "85fa8561", "metadata": { "editable": true }, @@ -4516,7 +5260,7 @@ }, { "cell_type": "markdown", - "id": "c783275d", + "id": "03a364b8", "metadata": { "editable": true }, @@ -4528,7 +5272,7 @@ }, { "cell_type": "markdown", - "id": "dac43f32", + "id": "cd318c9f", "metadata": { "editable": true }, @@ -4538,7 +5282,7 @@ }, { "cell_type": "markdown", - "id": "012a62f2", + "id": "b7d368f3", "metadata": { "editable": true }, @@ -4552,7 +5296,7 @@ }, { "cell_type": "markdown", - "id": "f02bf402", + "id": "f805edf9", "metadata": { "editable": true }, @@ -4569,7 +5313,7 @@ }, { "cell_type": "markdown", - "id": "63805f7d", + "id": "6f29c3b9", "metadata": { "editable": true }, @@ -4585,7 +5329,7 @@ }, { "cell_type": "markdown", - "id": "e84b7d85", + "id": "c6ec3fdd", "metadata": { "editable": true }, @@ -4597,7 +5341,7 @@ }, { "cell_type": "markdown", - "id": "3ef0ad9c", + "id": "c6549130", "metadata": { "editable": true }, @@ -4610,7 +5354,7 @@ }, { "cell_type": "markdown", - "id": "5aa2f0f4", + "id": "0c73641f", "metadata": { "editable": true }, @@ -4624,7 +5368,7 @@ }, { "cell_type": "markdown", - "id": "5cedd672", + "id": "c222f306", "metadata": { "editable": true }, @@ -4634,7 +5378,7 @@ }, { "cell_type": "markdown", - "id": "cdb4b214", + "id": "ca81ebca", "metadata": { "editable": true }, @@ -4647,7 +5391,7 @@ }, { "cell_type": "markdown", - "id": "830c23c5", + "id": "ea5c0f35", "metadata": { "editable": true }, @@ -4666,7 +5410,7 @@ }, { "cell_type": "markdown", - "id": "7971e263", + "id": "587a1536", "metadata": { "editable": true }, @@ -4678,7 +5422,7 @@ }, { "cell_type": "markdown", - "id": "aab14206", + "id": "5f043b26", "metadata": { "editable": true }, @@ -4690,7 +5434,7 @@ }, { "cell_type": "markdown", - "id": "27b6b6fc", + "id": "0e3fb598", "metadata": { "editable": true }, @@ -4700,7 +5444,7 @@ }, { "cell_type": "markdown", - "id": "3e702413", + "id": "4954f9cf", "metadata": { "editable": true }, @@ -4712,7 +5456,7 @@ }, { "cell_type": "markdown", - "id": "fd91d200", + "id": "b11c4701", "metadata": { "editable": true }, @@ -4725,7 +5469,7 @@ }, { "cell_type": "markdown", - "id": "35c6dc25", + "id": "778ed0dc", "metadata": { "editable": true }, @@ -4744,7 +5488,7 @@ }, { "cell_type": "markdown", - "id": "e733d668", + "id": "a5056397", "metadata": { "editable": true }, @@ -4754,7 +5498,7 @@ }, { "cell_type": "markdown", - "id": "4feaa7d5", + "id": "77b5e5c7", "metadata": { "editable": true }, @@ -4773,7 +5517,7 @@ }, { "cell_type": "markdown", - "id": "2fd87051", + "id": "30cb9420", "metadata": { "editable": true }, @@ -4791,7 +5535,7 @@ }, { "cell_type": "markdown", - "id": "8a8c7cb0", + "id": "87dc9887", "metadata": { "editable": true }, @@ -4805,7 +5549,7 @@ }, { "cell_type": "markdown", - "id": "b5426cb7", + "id": "17d71f0d", "metadata": { "editable": true }, @@ -4820,12 +5564,23 @@ { "cell_type": "code", "execution_count": 27, - "id": "45d8c427", + "id": "bdd1380c", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.10790125813226321\n", + "4.340071371496255\n", + "[[ 1.04193203 3.08165104]\n", + " [ 3.08165104 10.18383522]]\n" + ] + } + ], "source": [ "# Importing various packages\n", "import numpy as np\n", @@ -4841,7 +5596,7 @@ }, { "cell_type": "markdown", - "id": "5cb5bc08", + "id": "9682bfbe", "metadata": { "editable": true }, @@ -4858,12 +5613,23 @@ { "cell_type": "code", "execution_count": 28, - "id": "b43fd84d", + "id": "8f3a7094", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.08881497884574564\n", + "1.7086067479626619\n", + "[[1. 0.66080313]\n", + " [0.66080313 1. ]]\n" + ] + } + ], "source": [ "import numpy as np\n", "n = 100\n", @@ -4890,7 +5656,7 @@ }, { "cell_type": "markdown", - "id": "c303e01f", + "id": "c10871ba", "metadata": { "editable": true }, @@ -4904,7 +5670,7 @@ }, { "cell_type": "markdown", - "id": "d56895dd", + "id": "36bba53c", "metadata": { "editable": true }, @@ -4917,12 +5683,43 @@ { "cell_type": "code", "execution_count": 29, - "id": "cfda2184", + "id": "2c15e05c", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[-0.40620066 -2.01265755]\n", + " [ 0.01458611 0.37737221]\n", + " [-1.0895387 -3.65442354]\n", + " [ 0.2338675 1.12044974]\n", + " [ 0.4676059 1.54393936]\n", + " [-0.65891389 -3.16304863]\n", + " [-0.1715252 0.39197698]\n", + " [ 0.71142161 2.95511792]\n", + " [ 0.39214397 0.13069442]\n", + " [ 0.50655336 2.3105791 ]]\n", + " 0 1\n", + "0 -0.406201 -2.012658\n", + "1 0.014586 0.377372\n", + "2 -1.089539 -3.654424\n", + "3 0.233868 1.120450\n", + "4 0.467606 1.543939\n", + "5 -0.658914 -3.163049\n", + "6 -0.171525 0.391977\n", + "7 0.711422 2.955118\n", + "8 0.392144 0.130694\n", + "9 0.506553 2.310579\n", + " 0 1\n", + "0 1.000000 0.952387\n", + "1 0.952387 1.000000\n" + ] + } + ], "source": [ "import numpy as np\n", "import pandas as pd\n", @@ -4942,7 +5739,7 @@ }, { "cell_type": "markdown", - "id": "3cec050e", + "id": "73fdc99f", "metadata": { "editable": true }, @@ -4952,7 +5749,7 @@ }, { "cell_type": "markdown", - "id": "8afc4799", + "id": "b2f78b00", "metadata": { "editable": true }, @@ -4963,12 +5760,52 @@ { "cell_type": "code", "execution_count": 30, - "id": "1372e459", + "id": "604062df", "metadata": { "collapsed": false, "editable": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0 1 2 3 4 5 6 7 \\\n", + "0 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "1 0.0 0.078974 0.081276 0.075889 0.077168 0.078540 0.065410 0.066474 \n", + "2 0.0 0.081276 0.084076 0.078336 0.079946 0.081655 0.067707 0.069028 \n", + "3 0.0 0.075889 0.078336 0.077460 0.078986 0.080616 0.069452 0.070737 \n", + "4 0.0 0.077168 0.079946 0.078986 0.080764 0.082653 0.070986 0.072476 \n", + "5 0.0 0.078540 0.081655 0.080616 0.082653 0.084809 0.072621 0.074323 \n", + "6 0.0 0.065410 0.067707 0.069452 0.070986 0.072621 0.064074 0.065378 \n", + "7 0.0 0.066474 0.069028 0.070737 0.072476 0.074323 0.065378 0.066854 \n", + "8 0.0 0.067637 0.070457 0.072132 0.074084 0.076150 0.066787 0.068441 \n", + "9 0.0 0.068906 0.072000 0.073644 0.075816 0.078110 0.068307 0.070146 \n", + "10 0.0 0.055734 0.057835 0.060872 0.062337 0.063894 0.057393 0.058645 \n", + "11 0.0 0.056683 0.058996 0.062016 0.063653 0.065390 0.058552 0.059951 \n", + "12 0.0 0.057722 0.060254 0.063260 0.065077 0.066999 0.059807 0.061359 \n", + "13 0.0 0.058854 0.061614 0.064609 0.066612 0.068727 0.061163 0.062874 \n", + "14 0.0 0.060083 0.063080 0.066066 0.068264 0.070582 0.062624 0.064501 \n", + "\n", + " 8 9 10 11 12 13 14 \n", + "0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n", + "1 0.067637 0.068906 0.055734 0.056683 0.057722 0.058854 0.060083 \n", + "2 0.070457 0.072000 0.057835 0.058996 0.060254 0.061614 0.063080 \n", + "3 0.072132 0.073644 0.060872 0.062016 0.063260 0.064609 0.066066 \n", + "4 0.074084 0.075816 0.062337 0.063653 0.065077 0.066612 0.068264 \n", + "5 0.076150 0.078110 0.063894 0.065390 0.066999 0.068727 0.070582 \n", + "6 0.066787 0.068307 0.057393 0.058552 0.059807 0.061163 0.062624 \n", + "7 0.068441 0.070146 0.058645 0.059951 0.061359 0.062874 0.064501 \n", + "8 0.070213 0.072111 0.059993 0.061452 0.063019 0.064699 0.066500 \n", + "9 0.072111 0.074210 0.061443 0.063061 0.064793 0.066647 0.068629 \n", + "10 0.059993 0.061443 0.052305 0.053417 0.054617 0.055910 0.057300 \n", + "11 0.061452 0.063061 0.053417 0.054655 0.055987 0.057418 0.058952 \n", + "12 0.063019 0.064793 0.054617 0.055987 0.057457 0.059031 0.060716 \n", + "13 0.064699 0.066647 0.055910 0.057418 0.059031 0.060756 0.062599 \n", + "14 0.066500 0.068629 0.057300 0.058952 0.060716 0.062599 0.064606 \n" + ] + } + ], "source": [ "# Common imports\n", "import numpy as np\n", @@ -5017,7 +5854,7 @@ }, { "cell_type": "markdown", - "id": "aed87895", + "id": "8b010db8", "metadata": { "editable": true }, @@ -5034,7 +5871,7 @@ }, { "cell_type": "markdown", - "id": "7e1e5b8d", + "id": "c40a801d", "metadata": { "editable": true }, @@ -5046,7 +5883,7 @@ }, { "cell_type": "markdown", - "id": "b0d462fa", + "id": "969e0f92", "metadata": { "editable": true }, @@ -5058,7 +5895,7 @@ }, { "cell_type": "markdown", - "id": "b8b65150", + "id": "1b87945a", "metadata": { "editable": true }, @@ -5068,7 +5905,7 @@ }, { "cell_type": "markdown", - "id": "7e8f5c1f", + "id": "0e21aef2", "metadata": { "editable": true }, @@ -5085,7 +5922,7 @@ }, { "cell_type": "markdown", - "id": "1cc1396a", + "id": "c7402ba1", "metadata": { "editable": true }, @@ -5095,7 +5932,7 @@ }, { "cell_type": "markdown", - "id": "5df6ba80", + "id": "c2d86cef", "metadata": { "editable": true }, @@ -5110,7 +5947,7 @@ }, { "cell_type": "markdown", - "id": "59e9b6e2", + "id": "356258f2", "metadata": { "editable": true }, @@ -5120,7 +5957,7 @@ }, { "cell_type": "markdown", - "id": "ca2d3f9a", + "id": "a754fe35", "metadata": { "editable": true }, @@ -5134,7 +5971,7 @@ }, { "cell_type": "markdown", - "id": "be78dcbb", + "id": "5da384ce", "metadata": { "editable": true }, @@ -5146,7 +5983,7 @@ }, { "cell_type": "markdown", - "id": "0a45fb7f", + "id": "d946a606", "metadata": { "editable": true }, @@ -5158,7 +5995,7 @@ }, { "cell_type": "markdown", - "id": "8c6fdb24", + "id": "79eef735", "metadata": { "editable": true }, @@ -5170,7 +6007,7 @@ }, { "cell_type": "markdown", - "id": "a419206b", + "id": "01dff8c7", "metadata": { "editable": true }, @@ -5180,7 +6017,7 @@ }, { "cell_type": "markdown", - "id": "765c4cbc", + "id": "49f39457", "metadata": { "editable": true }, @@ -5192,7 +6029,7 @@ }, { "cell_type": "markdown", - "id": "760d01a8", + "id": "ec6f3278", "metadata": { "editable": true }, @@ -5202,7 +6039,7 @@ }, { "cell_type": "markdown", - "id": "a1f8eeea", + "id": "a1061003", "metadata": { "editable": true }, @@ -5219,7 +6056,7 @@ }, { "cell_type": "markdown", - "id": "b6fb003a", + "id": "66cff9c2", "metadata": { "editable": true }, @@ -5229,7 +6066,7 @@ }, { "cell_type": "markdown", - "id": "75e17819", + "id": "0289d760", "metadata": { "editable": true }, @@ -5241,7 +6078,7 @@ }, { "cell_type": "markdown", - "id": "bd29d1d6", + "id": "4b807037", "metadata": { "editable": true }, @@ -5251,7 +6088,7 @@ }, { "cell_type": "markdown", - "id": "150b7923", + "id": "2e21ba54", "metadata": { "editable": true }, @@ -5263,7 +6100,7 @@ }, { "cell_type": "markdown", - "id": "b4ffe151", + "id": "96dac9bc", "metadata": { "editable": true }, @@ -5277,7 +6114,7 @@ }, { "cell_type": "markdown", - "id": "d3ba3779", + "id": "881a3bea", "metadata": { "editable": true }, @@ -5289,7 +6126,7 @@ }, { "cell_type": "markdown", - "id": "512596a9", + "id": "84a164e2", "metadata": { "editable": true }, @@ -5311,7 +6148,7 @@ }, { "cell_type": "markdown", - "id": "7559f882", + "id": "7bd957d9", "metadata": { "editable": true }, @@ -5323,7 +6160,7 @@ }, { "cell_type": "markdown", - "id": "8256f707", + "id": "e9d15eae", "metadata": { "editable": true }, @@ -5338,7 +6175,7 @@ }, { "cell_type": "markdown", - "id": "4302d47f", + "id": "bbbc3b4e", "metadata": { "editable": true }, @@ -5350,7 +6187,7 @@ }, { "cell_type": "markdown", - "id": "b74f22fe", + "id": "62b0fce6", "metadata": { "editable": true }, @@ -5362,7 +6199,7 @@ }, { "cell_type": "markdown", - "id": "343c9a10", + "id": "0aa2e137", "metadata": { "editable": true }, @@ -5372,7 +6209,7 @@ }, { "cell_type": "markdown", - "id": "915796dd", + "id": "fd93daa8", "metadata": { "editable": true }, @@ -5384,7 +6221,7 @@ }, { "cell_type": "markdown", - "id": "0ab8f900", + "id": "6cea7d7f", "metadata": { "editable": true }, @@ -5394,7 +6231,7 @@ }, { "cell_type": "markdown", - "id": "99167153", + "id": "0a05b8d7", "metadata": { "editable": true }, @@ -5406,7 +6243,7 @@ }, { "cell_type": "markdown", - "id": "5d580225", + "id": "655a918b", "metadata": { "editable": true }, @@ -5416,7 +6253,7 @@ }, { "cell_type": "markdown", - "id": "004215af", + "id": "8f6c74f1", "metadata": { "editable": true }, @@ -5428,7 +6265,7 @@ }, { "cell_type": "markdown", - "id": "afa31b73", + "id": "5b9725b2", "metadata": { "editable": true }, @@ -5445,7 +6282,7 @@ }, { "cell_type": "markdown", - "id": "ec4c4745", + "id": "2be4cb9d", "metadata": { "editable": true }, @@ -5458,7 +6295,7 @@ }, { "cell_type": "markdown", - "id": "88eba984", + "id": "dcc582e7", "metadata": { "editable": true }, @@ -5470,7 +6307,7 @@ }, { "cell_type": "markdown", - "id": "b57779ac", + "id": "5a1ed82a", "metadata": { "editable": true }, @@ -5480,7 +6317,7 @@ }, { "cell_type": "markdown", - "id": "a59f4fd5", + "id": "c224353e", "metadata": { "editable": true }, @@ -5493,7 +6330,7 @@ }, { "cell_type": "markdown", - "id": "c79793c8", + "id": "ae79a666", "metadata": { "editable": true }, @@ -5503,7 +6340,7 @@ }, { "cell_type": "markdown", - "id": "4f039e96", + "id": "870f7011", "metadata": { "editable": true }, @@ -5515,7 +6352,7 @@ }, { "cell_type": "markdown", - "id": "737c8a25", + "id": "1ec298b0", "metadata": { "editable": true }, @@ -5528,7 +6365,7 @@ }, { "cell_type": "markdown", - "id": "39aa3132", + "id": "d0c145fd", "metadata": { "editable": true }, @@ -5541,7 +6378,7 @@ }, { "cell_type": "markdown", - "id": "b6cea5b0", + "id": "086c19c7", "metadata": { "editable": true }, @@ -5553,7 +6390,7 @@ }, { "cell_type": "markdown", - "id": "8fa7e834", + "id": "77e6f6ae", "metadata": { "editable": true }, @@ -5565,7 +6402,7 @@ }, { "cell_type": "markdown", - "id": "c7b38950", + "id": "6ea94ce0", "metadata": { "editable": true }, @@ -5575,7 +6412,7 @@ }, { "cell_type": "markdown", - "id": "06878301", + "id": "75fe3e7e", "metadata": { "editable": true }, @@ -5588,7 +6425,7 @@ }, { "cell_type": "markdown", - "id": "fbbf597c", + "id": "b44ad029", "metadata": { "editable": true }, @@ -5600,7 +6437,7 @@ }, { "cell_type": "markdown", - "id": "bf77f613", + "id": "5a6cadf4", "metadata": { "editable": true }, @@ -5612,7 +6449,7 @@ }, { "cell_type": "markdown", - "id": "9fc0cbdb", + "id": "983dd769", "metadata": { "editable": true }, @@ -5624,7 +6461,7 @@ }, { "cell_type": "markdown", - "id": "1d556907", + "id": "670240ea", "metadata": { "editable": true }, @@ -5636,7 +6473,7 @@ }, { "cell_type": "markdown", - "id": "96d0870b", + "id": "21222a56", "metadata": { "editable": true }, @@ -5650,7 +6487,7 @@ }, { "cell_type": "markdown", - "id": "26ef92fd", + "id": "0a6658cf", "metadata": { "editable": true }, @@ -5662,7 +6499,7 @@ }, { "cell_type": "markdown", - "id": "77971ba3", + "id": "11916659", "metadata": { "editable": true }, @@ -5672,7 +6509,7 @@ }, { "cell_type": "markdown", - "id": "cd804d0f", + "id": "f657be21", "metadata": { "editable": true }, @@ -5684,7 +6521,7 @@ }, { "cell_type": "markdown", - "id": "aee042df", + "id": "d97516b8", "metadata": { "editable": true }, @@ -5696,7 +6533,7 @@ }, { "cell_type": "markdown", - "id": "0ed46bde", + "id": "99bd354d", "metadata": { "editable": true }, @@ -5708,7 +6545,7 @@ }, { "cell_type": "markdown", - "id": "8c093c7e", + "id": "90658f5b", "metadata": { "editable": true }, @@ -5720,7 +6557,7 @@ }, { "cell_type": "markdown", - "id": "62af183d", + "id": "fc998d60", "metadata": { "editable": true }, @@ -5732,7 +6569,7 @@ }, { "cell_type": "markdown", - "id": "30a8db83", + "id": "6925d765", "metadata": { "editable": true }, @@ -5751,7 +6588,7 @@ }, { "cell_type": "markdown", - "id": "01faaa97", + "id": "97ff8669", "metadata": { "editable": true }, @@ -5763,7 +6600,7 @@ }, { "cell_type": "markdown", - "id": "672de282", + "id": "bfcb6e0f", "metadata": { "editable": true }, @@ -5773,7 +6610,7 @@ }, { "cell_type": "markdown", - "id": "fe52bfff", + "id": "e2a9c918", "metadata": { "editable": true }, @@ -5785,7 +6622,7 @@ }, { "cell_type": "markdown", - "id": "72b7266d", + "id": "507de073", "metadata": { "editable": true }, @@ -5795,7 +6632,7 @@ }, { "cell_type": "markdown", - "id": "6681e68d", + "id": "06c889f9", "metadata": { "editable": true }, @@ -5807,7 +6644,7 @@ }, { "cell_type": "markdown", - "id": "538bde1b", + "id": "fccfc919", "metadata": { "editable": true }, @@ -5819,7 +6656,7 @@ }, { "cell_type": "markdown", - "id": "c3a6e71e", + "id": "d814818f", "metadata": { "editable": true }, @@ -5835,7 +6672,7 @@ }, { "cell_type": "markdown", - "id": "b59b021d", + "id": "bbcc18c6", "metadata": { "editable": true }, @@ -5847,7 +6684,7 @@ }, { "cell_type": "markdown", - "id": "ffa266f1", + "id": "1487ed01", "metadata": { "editable": true }, @@ -5859,7 +6696,7 @@ }, { "cell_type": "markdown", - "id": "e8e97705", + "id": "f74e089e", "metadata": { "editable": true }, @@ -5869,7 +6706,7 @@ }, { "cell_type": "markdown", - "id": "73c4369a", + "id": "abd8519b", "metadata": { "editable": true }, @@ -5881,7 +6718,7 @@ }, { "cell_type": "markdown", - "id": "7727b4fd", + "id": "14effb67", "metadata": { "editable": true }, @@ -5891,7 +6728,7 @@ }, { "cell_type": "markdown", - "id": "3a3e1873", + "id": "ba6e6ea3", "metadata": { "editable": true }, @@ -5903,7 +6740,7 @@ }, { "cell_type": "markdown", - "id": "d1a8b030", + "id": "78202454", "metadata": { "editable": true }, @@ -5920,7 +6757,7 @@ }, { "cell_type": "markdown", - "id": "b6f25a34", + "id": "f27b566a", "metadata": { "editable": true }, @@ -5932,7 +6769,7 @@ }, { "cell_type": "markdown", - "id": "c22a3a5a", + "id": "5e9449c1", "metadata": { "editable": true }, @@ -5944,7 +6781,7 @@ }, { "cell_type": "markdown", - "id": "9e9b60a5", + "id": "d425f456", "metadata": { "editable": true }, @@ -5954,7 +6791,7 @@ }, { "cell_type": "markdown", - "id": "e253cca2", + "id": "71664ae1", "metadata": { "editable": true }, @@ -5966,7 +6803,7 @@ }, { "cell_type": "markdown", - "id": "ee43ad3e", + "id": "18bc0e49", "metadata": { "editable": true }, @@ -5976,7 +6813,7 @@ }, { "cell_type": "markdown", - "id": "d8f7c38d", + "id": "29b8cc98", "metadata": { "editable": true }, @@ -5988,7 +6825,7 @@ }, { "cell_type": "markdown", - "id": "a06e5ab5", + "id": "a29dc217", "metadata": { "editable": true }, @@ -5998,7 +6835,7 @@ }, { "cell_type": "markdown", - "id": "bfb15d60", + "id": "4d51ed4e", "metadata": { "editable": true }, @@ -6010,7 +6847,7 @@ }, { "cell_type": "markdown", - "id": "4d1210ce", + "id": "c0cca566", "metadata": { "editable": true }, diff --git a/doc/LectureNotes/_build/jupyter_execute/week35.py b/doc/LectureNotes/_build/jupyter_execute/week35.py index 42372a43b..3780f6ce0 100644 --- a/doc/LectureNotes/_build/jupyter_execute/week35.py +++ b/doc/LectureNotes/_build/jupyter_execute/week35.py @@ -534,7 +534,7 @@ ytilde = X @ beta # In[2]: -fit = np.linalg.lstsq(X, Energies, rcond =None)[0] +fit = np.linalg.lstsq(X, y, rcond =None)[0] ytildenp = np.dot(fit,X.T) @@ -555,7 +555,7 @@ def R2(y_data, y_model): # In[4]: -print(R2(Energies,ytilde)) +print(R2(y,ytilde)) # We can easily add our **MSE** score as @@ -567,7 +567,7 @@ def MSE(y_data,y_model): n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde)) # and finally the relative error as @@ -577,7 +577,7 @@ print(MSE(Energies,ytilde)) def RelativeError(y_data,y_model): return abs((y_data-y_model)/y_data) -print(RelativeError(Energies, ytilde)) +print(RelativeError(y, ytilde)) # ## Splitting our Data in Training and Test data @@ -1011,6 +1011,7 @@ print("R2 score for scaled data: {:.2f}".format(clf.score(X_test_scaled,y_test) # # Keep in mind that when you transform your data set before training a model, the same transformation needs to be done # on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows +# (note that the lines are commented since the model function has not been defined) # In[13]: @@ -1022,12 +1023,12 @@ X_train = X_train - X_train_mean y_train = y_train - y_train_mean # The we fit our model with the training data -trained_model = some_model.fit(X_train,y_train) +#trained_model = some_model.fit(X_train,y_train) #Model prediction, we need also to transform our data set used for the prediction. X_test = X_test - X_train_mean #Use mean from training data -y_pred = trained_model(X_test) +#y_pred = trained_model(X_test) y_pred = y_pred + y_train_mean diff --git a/doc/LectureNotes/_build/jupyter_execute/week35_146_0.png b/doc/LectureNotes/_build/jupyter_execute/week35_146_0.png new file mode 100644 index 0000000000000000000000000000000000000000..02d1feef089f04c92b20e3b868327097f2491900 GIT binary patch literal 23864 zcmb5Wby$|$*Dm@30@9*%N{h5~E8Qp{-5t{1AW~8S(j^Ka-JJ>uNOyO;I-K0NQ7V~#n-J??Q2!e1*%W1*9v!(cEhSs4ix7z~ja21Cerhywl( z2imh7@GpKBNlh13dvh0eBPTPMqLGWkJA0RRR>n`=%$%I9?Cm&Nxmh`wpIW-OI5-Qi zvDyBw2UzW$EZC-uj+((s&>Up6oMA8=Bj^vp579g;7)&=;R^pYKNBZu(yAPi0UDx5{ z-uKu~55%5ke|RMD>fs}=H?MO{1o2PtginR=FbHbk5$h9MSJy1Qi6&g z^_d*nQ!1B-bW|VWP^=n{uTA1*o_?UEO_}e%zVzrbVTj)!@C$i!*5BvTY7k*WghCDe zVePYaLxBE5__gide=7${N=QiPW+Fy}g@x4#Ars)@;yQYwGlLITj_@?WXC3Q|W#F^0 z-s2aI0b45$e0)9^?16!Sn#=^1z2NCsbau?3q9W#0Zkv#CueKR*W_AtE6mz!6Z9kyCV|z^7^w=H~R^Ep&^k@Kuh$+zX!9uU~)q zx0raBQuIEKJ@WVWPvx=w7!#wMaGnkA{ktO{+0J|;VOqabrFs9s;oJQr>?zwhWynbD~p{;9lLgKi78S1^8eQ1+N<` zM6NI4S*1r7jRL2SAIF#zp=6bahRqutgiaB7%zhr0TwBS>$@yH=)!BJ?GOAqZdwmvX zd%87Vm>`hpxj}q)0~bx2acd!t!D?@_t6g1xdu1akD%vV%@=fj3mr&f_JEH5)AC{$s z7@mVkW!~edUo4R~lh4(6g{T0A&i<83V;1vu7hobN9_But#)2RnP z{^$V;O5)Yr!GQxJA|gz)#fP6DA~;t*X{6FZ*~iyctJ)er2o-1J?t0(i&u7LDAt6rd z2^xrH#+~S1=X+75rEH36JnQ9M6ijcAFBde@T!JNqMxtr76fPWuy+@o6%C*oAs>_*J z(qCWpp z1r(lZxaI@tvfC5IRzqJ9VE31U{&nXI-j|16lpL5r;-T0a)??51>Q=Gut{3m)K7a1W zy1%giR!iow)$VB-@H4PgHN=fMUjN=M)L_V&ceKleab|K>TrR*KEU<#FztIo>)JgqEwtml6eCqIZWl6y7@=cCEK=Fzs5q{>nj-UYZ!8Ut{^IvPw$y zLPF`;;-M?MyNbPuEPv-4d0|vkR8#M2;+Pl+k2b%>9M!ho7LV0*Mi6p(94y6UWqEF- zIG2P}+0G{V-yLVsiHcsX#e=(caJ5}(Qm(lg#bF0Wg z@vUvo@OK>T!nGqC3~7dEWjw86^hXODOts5xV`G8EbE8*6eP0e9Md^0@_bNz8q~eK& zyUq9IHc8!=!uF)$gP6R#m24ANr`wmOlLnVyV{a<@?P}xG(t5!`)GddQCUe^m6zkNQ zcZA_al5l@4H|feeekUt=b6V;z3`bbp=ubg6N zPfwExd3;J_(aCf-sFn?s6cW=mXMG~N&{le_1anwi;<;HY!=5V26_>d#dnwXX$lLok z=HR^aF~7qNSNzK3i%s~gLSq4E5*H57Hy>O^<8n>btD49ZGHg`f^zer55<$4TpPwHv zRGII!+sf+d<=L!#{eH`}$6+U-R=F|q!ootrRngGU>zNu`9lNv@3++F%=0v~w?+uw+ z)}1%bD$d@f&7HTR$5OZM2oH3`@H%iY#k@3N({JDiG0GV9=N~sNXK!-mORBc-6D&MC z_>I%3ReS%y#K54xE)!Qss0k@sQo~F_;`uk}7>aj`EzNUJ-<0YLmo#iWhyKtjrOR|h zlTTNeVF-Jjv~_i%HqPru;ETJsaA6QIKf~9ZDAE!)G+g4>c-NQHMs3&2jtLHua*$;@ zWZr0qiun_-eFWX}D&u?fgX0><`}N%m@pl-R_X6Q;kFh!TCy{)r>4Ig&XE|F8avEMm z$m9y$o{UBkbB2JpXjiw4Ql!q5#%pg5T=3?0-ya@?BLcz@upA`_nwJOdIQbf-6tS_f z0nR=N2}~MJql&!C+uQP%mYbfUOiWA>V`F0~v*1xQbo2tX{_}ZvN)Q%T0#PZJpa^k& zwyTgKkie+=y>5(5xkNQwhHh;Q|EO&)N~nHgmMEe zuX$Slg3Inq0yx@ew$__CsVEYJfl$-)-C1c687$}O9P6`AK?okLvKm!^E~3icRIv4d zI6C=@^(2F^@NlDFAJFDpC-vY$LpD4SMpBD8B%e}JWE~vXiHV65l#*8T-6;Fbe}!&O zrzA!tjsIGda$h;SD=t{i)@p1wylX&es&f(Say~++dm#|n8nq{3O5?o0_|fC*+??*& z-n_h;8XoXO^CTMXoTg*l;eC5OBi!1fetSmU+pCxzh2HP7U)YZK{`Qh1eJv;sjp?^u z2DkHadHLrY|5Nm|aWS72+!7y8y89dY@bso%82iAd3o;NR>Vm}@gNP06O@2v}b`LP+ zxT`&kpd^zSRHx!T^89()mk~*4K~VJ42-o__p^=NSz{~WmBH9PA^J`_hubvK z@^wS0DF2qQFg}1co3yE~Lxb%&353WFJ>U00%Xyk0LNGd$awe*S@t9((O_yJ6^ATj;#BbKPyT zLEW`zYXzHd*UpiIgwRKD7?Ji*V%RsT$7yrTakUpi@8{=3MGafG8tE1Z zU4zalv@hIrNZR$adN3g8R~L`l{VCsD<9zNv8JnOZ^UhS9K$JbKrI<8DPdhll zB`EX6n|G7H*PYXJ!%1Y;D@t5ys`*0pJi ztmYpxAR|Voo8GYuzm4FD5|%{8kn z&smQ<9KE`RwCz4j?YEutU)XFHlifA;*Fjb(r@ExoXg#Fi?WkEQZ5JHjdtLb|qOS1s z=g)Dcb#;81epgmC_KW%z#rn-&xif@#cuTvxzCUk6KBx`8Os0{FT)I79WUKCy6_PNVCs5q-VmZfZ6wX*Q=*|DGO#udM)BUq0%_Yu4@{8pH{C_TT9 z^yK{h9N6x18{6qp!Gd@5M$9#cz)^a6d6`Zg+-`!1+%-73qa<9GZ8w+4#6lkI;GX)N z3`>&_#f*ti zdU|?veNV^7N)58Ue0gfubSM=~#;;OQdfZ$}|Ex?`rdB7tG);u378@s4#}FQ?%zFr+ z;My#?E;0G;vbV7vasrk7`2mAy|KSwavl`8SxyFC?!a zV6ha0Q(-&H6M{pjWM{`(US7_u-;})QcO3=5Rp_i;V^p=xWMX4hlD=1Xrm%N~No%KF;IMCSpO+NYRHd|mL){d*=VX$_|aPp zmc`89Idu<|GM_)CZ41?~-x_FhbKOt*vSK$x)5x_xzVCLF#eEG01t#|#XL#GQz1F5; z`DlI`>V(lsi$N99*l@&gh%}1V|o@?vtxQ|}@z1*6qw(0RYEY7Q{Ix6kM zCVugO-+ANnjN92Uhs7l7BVuB$=PvJNYoOvSt_<-JIk{pG3f2_BIA$(J`@F__7eZxbyS+H$9^Hw(JuX~Cq}M^oL=x}(LO8TCiBDj#cGkL5zOvh)-Ou&LRaPaZ>-2FTzm zK=cnDJYcsPp#^1IFWcWDR81BF3~cGk!B*r44~A-NXXVB@9Ywy>y1k; zHsKH35shI4?x;;wlFeXoH&WMrax4hwIeu~>(sNlFsB=|ix;16#)BKKJV?$tu2W?H% zf2-4dcEsbXP~wbIu=Dd}+Qk9DiKMeB$zdqwNzYUonG>xWSytuLi?ut!)$A{>T|f_L zUp9mfWVmdN^{o9FU=t8XU0XB7CgXeUlt9P95gQqask${GUW>oHj-*%OUb4MBi$3ke z7gSzax^bPu<b(+xggd&rfK^DqwtpMk9TBRis@kko9vvOYC@Qj4=j7#Sc!`1%CD&%Mu3#lYOJ#&&Kk^uEaT#2XVUD+EQN-L93BpL}lcaH&o; z9qj$>Hi;dVc_$oO^m+D3cha%0X7>8!U4!n<<)A2N0X!WKAWy@KgJnz#p=1!aO6oUK zNiK`*TP{PsE2brCqhOP1{=EhKfyn)hGl**4xk>tehO))2KxOIZ=*a!r6?uz8$h7aE zuTKHgpFQ2(PoMojY3L?F>D$AQjyK$CeR>wXb&tuLq+to4?hN-iaee^{667+UsI%ib zIOnK;abD$jkM^Bq=1-#dK)_ssBTP9e+*~GlyHme*W9&@{(H2tp;YY$vS?s0-FatqjMJ%gV5UvFce5;qR;L2bIY7?jcG`aIy(?< zj&bzRiucQ0Z=A9#7}zSE^CG9ZHCO*vLIDs9z+l;AQqVW z;(e;vHr2qX;&ESbCo)mU&-C@i`rY|zvcaA_=gOxbtG}*gwto33i`Sp@Nk4Bq>-xx9 z6k{1_Q?)UUxH+rE&#NFlG73iv4T-fTJk95Yra$iL9RgbpGMPDR1JEdo;lcKC4nz(B z=M&7$W`%v)BJFxPFkU0;dv~0t-^AI%5F2&FpPJBh?^_YRy-{Q|8W?Y$#6YcL0=;b2 z@&N07e9xz*-#gX{<-*(%g$DPrxjHdRCY3K%8(43SuSzaF3wxbx`6@|IzR?J*?3>Um z2RQR=w)$0sR~6}2%H!eYyP-2Dtn1-?Ep;oI{26NBD#O>oZGY3fa6*=fe0|vS!EbJ^ z(JbW~m0bVPX@%oHDB=zd3`@56(*It?pQ6_LY@jdb*XzuG=`8k;34O~Sv&Gkn&iwX` zkIu70XE&w9TpC@d!M?*~ylnAGY$5=mi;$V-+6tO;K?v6?7ay9wceEWBXI(er_ zEK?`0BTS3w@)gJh5lj?bcc8qc*P!OkzqrX19)D?ONtRf^j_FZNnm&a(*@DHf%6fub zo0yo=>w7=j)^N)JtMix9p*NVONb^FdCj*gh^c3|HK0-TEnc@6dccB~&xFWqA^l~{_ z+2ysKcrL4v2Y{T?D?fc2V&t$j#yB!EVhOkfKzs=2DN44s7UF4|4`%j9u(im@$)RTm zx|@R%4wHoIM_&y9Sf&H%{Is;RpOTWKL9l_aKzk?-o7M48RLX-q(c8c2=b0kD4Zo1k z#;pwzH1C9%vzB+bx$cfr?}g%v=A9$MDeY;61^*SG6q8YaLg{0bXMGABW3pwo=UQ~{ z+mO+cZKVUqAQW{?8NelzOo&kO^Yhb%JV$m^azeN)hXM``4qmidf~7Lu@@nYnlEu?2 z8lUY(nsCsn)oER>r0Ga5(|eB}!bjKpt%FnLCR&YdEc4(} zS^>1yake`v-#nQsEgV_jL#%nm92zP9Xl`!jV?lxuQB$KA8)u8suRZonB8u*G9h1{i z7hc>ocz^u2Z^V;@bc3u)rk&B>AlJv>C0iNBC9f}O1goAjD%Z4}sbW-2<;wo@rESM4 zC)Ly2+oV#@CofXY!07L29u5?=fHCQ21zfi}xF>bnL0S8}DrO)n2i3U<$`S+RRJ4w3bJQO}g0pcAj+oxhQ@A!d*JV z=)hNn1X|i62i$kf4i_ug?X5+_Ut(HZ4y`E6{w#n803AXM0ABts2+Ah?sUKYrUHQmN z&CGBgKUT5!c5~waRdbc)@OuuE-(`-gzn#wG!HJujo9E|F;Ny(9T9q8v6X28qCd_8x zBDS<9XUVMkpl>|G(@d8)7@ya?T(j=0Dv>;c!5h{nm^?#Kz@)liwDX znHfEA$G}{4!ii~QWQ3nde+_~%H3LH^seMzqsSaQiE&+i>X?In+{(b|%#XEpr+`SS63QcL9i zq#RD0=R*TF(kHA;TPXAGo*2if|5-<_UB88YAaTf>Y_{rpXZQ=-87_cNEJxPPmuErk z-wU#;oPq)-z#GPQHif&_ zoT0s?db(MF2uZtpYDXEKf9S-)q~>|C_RF52c9a$b0Q;Tazpk&IIJ@y~(n2elRLgIB zOhWRp-&_!GEvKzL!>^$?KtM>?rRP2mAyZ-j7t2dYt>P2FyUsB&x3si8Kt@i`RsaFV zvN!K_vV{^B;j*PVMQuxCVy%V%gL4ynWa4IjPlOBmguDJlzLl^x&sya*%E91v<74f` zB;mgxg#;PYtAel)hEbqqczAe7#lw?$adDwCySlpicd_-}bCK75PZweqMeZ(4q+%$1 ze+~l1@xzA?FRpDG(nY|IE&7A%xp)OG+=X^f&T$|w0N(DaT( zxvZp2n`Lf_^F1X+OQbieEyO#VcUHb)o0d{9@p=~)X7l5Ocl0x(ss}v7-DAJ`93VT= zcm`#9e*P4+C-krZ9q!ex7&a?Wu$bR5l!NkY%@T_(zOssnbllttk&%&cJb>-7_&buj zGhG?_;lqQyhHcizj~~mO{T(Ud+0;G}icafWdPjtEuT>e7ws03tlj2!rtCGdGN7?;@ z)$Y-wT&V|Fp2rUc3Q0Sz& z_Dr-D@hlh4zWnVJ6!J!u+8#cp(t9LCx%w|vzBh>p?%&tNfPgEj)IuI0dSdw#B+4P$ z?qF0`Jlt9pn$K3q z5WtwH96nKTCLK?p16Pin$z@_5UmtT!o~9r}cGxF*xUGB5{rTq}y9b>gYUzC$MnGmP zmgj1W@Wav8Pq}eC^jU^8UyI)fZ2H_WKj#X_`|YxF6rHLgCsClJp=q7w|FDWJb!b?! zqym5sc=WkHBN~%G$5fgIRyAja*8RZLA{bcXX z&MXiK9Pwr7L7R4|&0*#Ezp_A`;9Ms#X3k@Sk@ef`mWqi-Te-ji1RSQ!Y$iYP*Gld zv9*lyE0OU`eQ?Eb96}`0SSreaiv=R#@y(Wby=^9OYiWI*E!?gWUi+Z$vyzYq_rBB~nacRKxqN zhy^|U>H*II#E3JX z@20=l4T0_$a$@R=9*%&)s_r7!{#Q3wKn&UW95aaMr$u%ms+PPP6kPRwytD6n==w3) zP^OFChx4yWCee88Rg3;Rf#jc{jAEx_4Wvn_hu|}-OkgfONZnZ%$ZK#lE5bte@0@4V z;y?HA58wJZ|HakLUeM6n9G%@y?IQ-(8}A#V1sCoU^sG{`v~xPB^YCzx<=w;=Os{<9e{t*w zm?qpOjAdh0A+eA6AF;Du9PARJh1Q)#aYJ9Xfwgt`7Ze6#jb^)Jj4NVW*ItJg-Ac@9 zK3d=<7Oe`V_vHn`81&S8%7M8&E`laM?q2M5!3hPDYb=>?`sJ5g0y6-EeR&iZ=wdtk z#cdnUk>gD^LX)?*GD-~=-QwQTzJV=gBS2{3i1M~!EhJ61%Tug;btPk^(SR^LZuQ>? z;=YD?EFINAx!}Wti{#fo!nOfDtw2r+vMR)`tMBkxyU9`;BO)ixERjCU_$@FwNK|kS zvNF-_mi5HG=&LVTg!_^EJ@;7K0g8Hwl5$pr1l_y0Itc8yy~S&U>WiDh)GHLghvgmZ zvlj^r@z##^6TB~01#M&p2fmqjJT+Jl{ggdyv@!8)Qc_WFJXD#Gr+W#wfK&= zkqkFq5}mo)v?meocc~3lo8c@yL8N`J?X9*^`KBj+?8gdi7KPRVP8eurcS|WIKU1-I zRyI}!`V9U)3EfcTWPiE5bF>#gh}}RD!`sM(TRYZlCSJmp>TLzgFz1KYs36k zR$BEphZ)s3-sAePJ0~rhuOSP&H)g-)oE8|V*F8-oLgTbDMfLobadRX)Zh`ZBa=nh` z+!!A(n)glz*Rb!>1c!oh8cio@`{xFdbj`~xAY#CClvhN&_1OIA25UM{d<KHuY8kN05UeyBW{*k5VuX?}0>?_H&8#~aKnTSH- zON<{ZT-@b?3}OUA^QM{~6=*6ZpP5kyV+V2Qr5#;%AXHiDwz{<2)$$qe4x)M+?Gip; zK>(p%fppskb}njjR(>p#*n=M~qo`t-PY)$h;PF1O4n%B)!FgR0$20x&Xa}bPwT`pd zOO)vRR%O?XGi>S|;<_^}92!!gZ#LPJ@64#Bh@D--!z_TwPE)K zbd^Deqgk7Ktq{<|g3keZW~C_bzkbYDTuv)dP+&&mzel`Awz|1*Ko_TD$Xid1n~w&H za2IC5nAyea;OSm>B!|hiXCimb2B{A&-@Zd#*83uBQ3h|f$FM0=!5ws8{KUhBb+)<` zKHAjm6f?aZCW8f*|Na9K1M&5YHCR{IV%KjQUUzst$FRrj^TRHy@|U$=3z^fn=p(v2 z56%x)!rx@TKtGBQfB_!p`|SX&UPu@<^rFMmIFS?4|FD!DLrRG?i`H0x5SpBc4CX`w z&Wr-zE?OB9RW<*rFX7OVVEx!>Y&0`9pviJDo`^TGqr?j$N4^v~GyW%^9lXhY{r0?V z9OLS?RT{ygjpA|uaSd(;A}Cwt$xyMoI`@@xup{gUIw-Ft5ZQg-PzSr+iqfqx;%Txj zh30VmZfQyF_^d#Jd~qW?NvNxQ_j;jg9C9c3aEa@k-@bfp>orcCD87`_E{! zZtQIOlg|UpoTk7y@d4p7x$-)$z=M)8^j<{=PlYJIpV^qB7 zcCvZjUzu(Yyl|ez26CWS>o09i2)CeaODSagIoYf3OgZwE@IzJLd$OsT9~&alIniZW zAQb%J9~^2jhzGbJ1bkh0r;4E?GC}V?&Z6}XzgX*G!RH?ejZ=+?*jHt;lc zCHwf`+bwS$RB+Hgs)aI0x&8v~aCOUYLA_iCw%aZF+RzanOIxh))xc@Lf%;H?VoJCXElgWi)ciV!kzBUswxuFzxPXm%!Us=p`;P$ z4kKIKB`YzIU`@@cjmndfMmpHr65df9bz-fZCG+TYCt5g= z-GVF#8B!td2}F!2WZYw^a;3ssOVx=83oX-R782$m0kC#Ie&j;rZ`d>)=wO4dOH~hg z`U82*yzPw6T!UtXV}`3_Fazl;%mXMXj?j1MHE5|5vfEayizXHu`D`Eyx!$kaT9Iw` zwwUC3*q@3(mX`zjm+Y(!cJoEmYH(pu(L=m#@_Z*D4b#8&V~~E~I{UUm?^#*h*CDro z8{J-=VuJny(0_oY(eF4O(c6u2phRvHBk;kAD+IY-e+w(DBuYrfEmF=BIoTWzg1Q>-w#V|H zOzJvgahmu27!rXRFLjQq9#?1?GUiCzI-CPlE;ScB*VCnp*< zHa!hZ(3dY?*{Pc!-9^IDIy%ESga{xZEC^)HvAG zBm}-so`oXM}^z8_@2yZ#l21A(Z+ww(mGeK|>ia-q~jPkB2D@P5dNrh>J>N&oqn7DZP^gFoj zrHs71ARN7C8u&!rc1dHhsJ{s4QLvmg0#;FOe{^y(37AG=KoF(svewKouU++LrH?q6>VWb~4|&;9J8 z^zYjo{x*2&+v;~aFb%IT>-{rtk%7B_{Hq~Ac#*&LQ=vA`WCP8~!GPfY!GiaGIp}rLD`zS=IlXv7uK-K0wFX3p!H6F)3e-t~+MF%E*Kw(- zazI1|lpb`p6keNDK#}wtgRSYMippcQrUOLK9%TVEX~PB0$%9S}t;ZmT$tZ?BJhb>_ zW(&LM(g;rB#`?o z$#eF(8cA?tTtLamW&b(`q{u$4@>y`^Ys?80p`C9%*Z7z%t~}C@`4a7w&D_x_bY(tFqEicPxU7EuaF*#A)NdMvA31tB-#`aS<1pzDj~7o z-+#v5ji35GVuZKV@Dq~i;Pbjwrr|uwZPeHtZ5TJD^2*?`?CrRqBZ7WL51YwLM z@shQ{64ql_!Ze#BLdiu0UXNA=60U<-Qh}uP$9`+0nYRO;AseNF zGQR@jHwb7|x;F&BpzAt-QM z^T{Ienqj4af^;|*MoEf>s#Iav{t5)({7O8{xi@*`OXRSw^R~chC?yO7$aJ`bzYFtN zPTK|PHd!}TW_loLjhxYcL zGL6q^OKb(GXCurBKSK|&XqBU_eaV>@F-8CmcH#$?#0f$>LK-|xFG?nZ-BCv8*LxpG zg128ZV*;5w1eiMlxKaTCSJsjNrG(0nTMybuMRzt1WQ9*yRY-x2^x)foh_MR)RM7*D zbqj(F!-a3fL5C;huzG{|aXuDUPKiF!Cf}d`_)u`?O1ee2bs!rr`35M$`dDQVTmDggrp!7UFiWCCTw1)djaD;;1Va0!LTAp*>BTZU zecw*H^n+C~V(dEzYhN>KqYTb742QqB19ZRQh^Hwed;5FnOb*^qQV}**V2-uL;V452 zGiR2iW+)wkb{+v%@>ktO$MV?6!P1x~cE$yejS?TmXt+6(c>Si#z)4X^26m2CQ6l(Z zJ>6#C(K7;>*Y)H71DFO1ns?;?0j5EKU#yyZvU^VlP9I>6v#HFML}Ht~ZhU>Ti+y+Z z_A6vTOkhDZA+`G&HY#2~&Pi+$0kO+idB)*?)J>xAl%aY&2Hg7a)boI$v)3LZk6Ztl zCl4^QH&!p1V41fsVsFF%WOOPA+l%c)`zuNe!KHYex$By>En9u9@t6KW%TdXp{ogRDR zzd8IK5Fr0JG+tTAm=oaJv<};A(>C6RpcCf1suu?T1;_{Rm|>^a%HXz!U8@)#nr8eC zQ1*qhWUpoQmq_I(eFPL;l&}tr-F8@g2m5yQRnBwpo)l%61Vl0AfXcED61kzBoErCL zV~S|GgTB?j@R7#^O0RABYloRJ6^X3^P}T`?RguH)bsI8(AAvi);s;)&*Lyeg1w=-% z5e*PSR4nEfTJdeu#^4@GB9$%kM&R)5q`~276-(-+4`U8c(;q>pdICUm5IYBf${Ko+ zKAz^*`;}K~XE(4EMu4hSLb0qTlb18v%LFk&hy7#rf;Tn(_cj$mE^8!Q-=7X`8+;&u z+G1<6LuBI)jfY1-ck1_mC0Pz(Fa8)HgTyQRrOu%k#3vJT}YSVy)yg{|c zBw&D{@8`gUrt-KCvQVSDgAQl`LlUe7?RqFL&AmsI*IOpUB$pNhVTkH$SjyJrl!sH* zF~S_svN<1gFhYmsi_YvSd-(cRM9cAAThOvgL&_Mp0A zds^6N>l}~;LYJ{bJ}|e0v4y3|gmI0Gvz7qY=uZN<<>r2WG|jZn3B+aLI%-EkA#K-x&}aK}7^ZmJetPCm-+eK6@4h#Cs|cSy={V zz40HddC9i8KNR7?nFm0-r|hXH=sc6dK-ZU=skRM-C0*%Uq~2b();_2mH}Afvn5UEh zNyfpXMPCYMUf)@#cJ( zWP*f!pi@`s-`WeDOIIovQ69{BY)_V2OqChs*5HuxL~`3q=&DfxVY!5q)W}y!4AAdv z2V3g3&HA4mSjp%47d5X(jJx~U!O0`EP4@mCHOV-}Y(8Iw6uuA@G5Pv`_gI;W#?H#h z*Z~$V)Rp-EZmhQaAB|Pqw|6%Jg<3cdcVWTxpDu!d@5sdV3Whj(cG2TaVP#&vz-=Ew zs-yldF#W9*Xw220PUwUKDKaRr`m#i`Kx_SY#-=pmTsTJbjt>H-y@5!m1vi(jiJeE+ z|8Y7-piuZdYiUZ`e>hK1E>4m1qhbSx~p>4mI>Z$FR!Q>ZonS^)}f zFtw8}S@30>uS}E56N_xo2IK)1TF{YcM5#epO6d$=Bly9aHD>#N#ptCqUoqRCQc(qh zR-O8+$hy$`RDKIblqs%35Z-dCuG#G6<6jy;%B#l0QyldC+2_9UmS9|@>3Be}2~1x= za3u6gF@m!i;<-3ga+zVsuv^tl3sFhfA~!*T=o~5O?^S(3YA2_VJhqwMPN#qLOsIg zbK;;L`1$iEcq9X8-$xqV_apeY^2?&X{bYEgv=_RT^<^AZ$@Dmu8mI>bq(vDjfrtrG z-uusw-TtzFeE5=}U7SL6u&$Akw}@C_6`L{Yvv*IC};1p!lH;9xcz6A(ru z?E%X4C*L#*A3>!j5B}}lgs#|%8t6}N6Mpjl1CndbXZciAXVua~n8K|wlN(5xu3+qn zuX+a+i<(LlBd+BIs0;Xe+uLWJtidIX<>;OL8NHw5;VOS`qgGO9>cETY`3jJSuF|)w z7KQo>VHjtUEqpEC2bd~f51sj_F*z;0)H_jp!$?&gH`aN6hBpq|C@@{~b= zjyhvm_rBQIFJ}JiWM%vV0Ku&>>+>+FmO2e^o(vCO%L*0okLB#WHjEt^AS+np6!;YG z@%heHjCekm5gX~dZ~fb2OxX-D%9Sf=fTZvDsf8Td9)JN{#`Y)Q1ef8q>q*UBT21_& z;96S;BSw7QAbddH#W%?fQiiN^E}x)H)%Sr#=V1DQ_9f5EC2UWJ>HL$A z0+Pr_3+OQ|TZmn4u)_$iD+1|~Xo~0ajTq{nUxLRnZ&)1%G6ACwNKk@FVoDAFz70tH zRJ){B&8i<|d3?YZj84^ylZkp`7+b;p_hElS(6>i5KGxt;IZ^EXLacB0XMzD>o^T@; zT8|t)_6V7PzZFm}Bn1W?xxxSn0HibJ%oTcnS2YOj{{z_DBAq|1kT>VudzuDO)|Gu#EbPKZ$(3=&Y`3)#GH8!v{gGQs*Y!518_$(X=aFfO%EuB?0 zFKH@?030_83{U_ZKsWhcgag=f<>>!Hx9fu0$NXeg-uIp8sD2?Psl@6X<9h#vQV+>S zb?9tnER*Sc!0kG)f?4(t4ax)yasNX)h3>hPF59>u)7L*kXI62X{}{TJg^Jy;LA|o2 z&2t3Ld{vBaajgLY;gn*DOwJat*nUFPZ0MMxM9sU~yu9kurp_cA0yy+9= ztcSDsu@2dvk`1&J(E`46K298fdC+MtO9A%;b8L}p)czyBUKTUYNcFTjmO z%~|`2Fv$+|lw#4rH7W=Powu!@~LA^=uT|Cfp;Dojnxqm1%NXcaOf9|DswT)^RufPKcbY+KzOCtlxD+rdi$-$?Kr zF|aVjfK&n1L+dJru@S0sI+hwjrj*_hJi@Ao#lgPj!#uq1wPk?K9>KhjI6*;C=xf|)!IFnP1UgR#hv zd+0lY3nDvXJn-u#`8$}pz05pfek;JRVQMOAzfbF(U*f?ASr?@Av*&@S2f#cG;h^XP zfk=lE`;qoq>b=do-q{hpp`_-&{7to9S>VE@i-Y5kRv7-L&?wo9rQV|-8cgewa(S>+ zz3=Ws%Q*>N1e(pUTf=*D2ROm$TvNBr(2?Nl&NlPU>+me8wPe6sm0p08gB-wXswuk{ zYrs|5hiN78ztO;Q&&p&@!$E-gByCtiUdjV z>(5M79Z^mY-SfYOhPpo;8jM)PHhX-&jR5R~0KQBB2zNm#47sejrLO@!jxA1GgnWEA z-&;d~&VkF$H!M6PU?RIgj^5?@_nO%&$q|tv5e6mv1E5O>2}uHMU(1lMs{TJ6ow>x? z{y(7jM1YjuK(mvo8$0F-UUd7fdHE1A7Vq6gad+0cUyN7oCt8sjx4mKYJ?@A zesB^n0Dj9~@K5=v_@6m1z-v}mj~5)*C<5JRqK+L9FJWsIs{@d&X5NU5K>(Ea(7f#M z@UYKWN<(Ku^~!=+xWP;P8jxMOCF|WCNK<)#bS+2fZWIl*pBP8~|H0@lW^cfxTO=uO zG&Iful&OxhwzZC{QM?skR^v}1Lkaa)oDWqYpviNV3tXaG63h-B)(&UDJe)i2u*pQt zoFr8UwIbz2B*(!hpx4Rf&vbrgxf<84v2dG``Vc@!f4*M$8H74otix;GpZeDN8qo0F zeSK@&rLC;fJjNXlA({AGJ$_^E|DK=&n!C3*0XZ8*7YsKCIAIN#b_S+Ug2csaUy9i; zGV9+n!Q3bNty6o-)ku5z2wCOKy z%6-MSA=69kNVZcS)# zaBQmfXO;OP#gNr$+@4ApP2M=Fm&+k5My z95MkVC8e>6Nq9^QTeYx=NG6!()~FBjyS)Nk2{7!fHzv|4d4VF9R|x81FhT^bE&=aJ zvVXDEQ^Fl~rh{J?KG(aoaPmsYIfXvOfyqUJ zm#<3xId&yzCpJRu#2Z&sSw4r6x%W9r2L(H%phD{cjU$hZ6bl(}VdCUjje6qfB%}l= zJAm+--$Ee~3=$<3m4a3bD20-{yJbLag!&Q;^QZ9IQ}|!cE_!U`=UI+^#{we>(4-GF zwxX`oSni`SvKKf%qf4`o0WnKUO~}YoK{a`5Iq(ZB6jGL8?C-{mdpQoi`1m<*WVNjB zc~tw#N=pWIp+U$Q%~B%7jl^1i0&?+BDZM>CwVXha1(1=Eo9s%6wJ8}v?DK86h+|g^ zA=5mF&sK||f8{6SAt?xh>VUpEM3C+w0A5W~Mb5R47D8U*V+<8qig#R3KTc#L704>J z$x!Bqry@^fuTq6nRDjy}7%D`<$SM^mX&vML(1qx)?&MnnTrfsHJbW=#R5X(^P&<2) zo~kAa!kr$FPTHs7xCwt@SYgx-Mgf|{XRu7YbQ!xqkbXKwK^)(;7R0*|r-DD*xq`5M z4v8Y!NMhMjgSeQim5jIEAOH(Rf+e%2@wzk**SE+58eT~Dzwo|2qkxaf1Yz3R0LTb; z<(E#-pb%{B`c{F{tJ=EzFQOo4%Y=})iZ4hAXWYB!Mo9s}lzuvvkcFa{3E)EF>KH!t zf7xx$$pDdf_z0cZ_FfMXe68{#^fnVU+fkPzHi~B3%`|isom5-m`DrEhT0)U7LxGDHe0s?VIT9`N~xz9N{j@tjEd#j)J&La+65+{VunD{`@{ zACJ6h(5boyXLGD`Yu=t*>jX;nnGqdmGm|Z1P4)%a0iTKu8++Q$KIOlIXLC+rvb(Sf zCJxfYEuz9~s$aTPeu-mZZ`KJOVsGop`I!41%$r_oUQ+wqyIXQU+|z`5xGKHanS7mW zlFMeh3noDIwUy38-j4K_9AD+JF$wBb>g)Wm2VlyUk^!f!h&2EqzUF06B6KV11>#b4 zTuwVZ@y#`~&-j6k9Q%vA8qHOWTS)SOq3Dz630vUc_SQvBjP~V-j(F>KN+AHw3Qa;7 zoKskUmEJVLiDqL=9nW|*OlkbRYSFWmx1~;i`0>cKocnJdb$$v z&O5>RWcGe`nM_kjVvTy8UVeU(7&u z>RJx)cMXn2a=5*A=y8P%O!2IB=x3rh!=>k-qu;c5I#5}~#~XMx1OSayhZGMpabJo2 zG0KGpW81$2QeG6sC^Q#qG&<-~hRT7h03iJWf>$lzSFJm)A<2Dnzf^2*nu@{C=C~J1 zLH<=6hH~LKt57gi36}3Iw}@QY^}Z8DwdR#!@-z@~kORmCV3~kD)voXW+jTT3Dq7V@ z0pmPRO~U6*CCU9&+7#)=my1&6Ewp_vxE$XF2IjTkiGLduexjZEFx|-eS-F$vhl`xy z;#*+)XW`8N6T2`C>Ej=lpPqv_GdEef|4Ty^sFdo?rK5VlZ_nvu$2|KE=gWKY44osC z(@DO%Tzd&z2fCo?Q#*XIvQ|U|E#Mcv86pUrf&s!fcNLFQe?zC+?MWQ+^XHR1dA&ec z5q&Qa+6ZKU56C06mSo^dskjPCFF(Bu1Wd)6aepiMW6{u-^PgeFkVmR8G7{%qn(aIK zv6A%J4GyO}&j7W2t10b53-~#-f;4e{$U3v-cp@#hH{#3pac$q_^Ql)_qRrRw=f#|` z&1-LECirau&6%e>%*pPn&HEKNB)yvUHRQn47(nd{#MHclLD)3?K=hU~13FdkB;PLi z?@weDdW0;*x`5DfIM4N=Zv;wZ#L3X*C-8H(EWVHZyvPOgkXJ>Z_HispJP2l|*AYm4 zjx}U|+WaPbWQ<<5(9s;8*^-N;{m$f|1U=8X*0IH+hX13I^A2lj>(V%)*iaCq ziw&-zf)o)(yItWT0putbktBIA<~4v ztfP0nx$}(QJTv(Vcn&%H?7h$0Ywz{GzsY?aO1$f9$W|q&^bu(7<2kLLyQbW%+1Qd! zj^jMu(HBC@7L49y-Is=!9+E^QrLcy02F{%Jd@aK79=j}l+R@2f1I9kRmNrtNCIDm2 zEMGzy;nS#UZ>SD9?FmeGl!B-*KURuCRnxo0)lR3Q`surOC9tZcBjxR&mO{l{#c7ss zhozS4aX10H`X($QCW^+j`%vIRb^P4Es`feG z9i$*rZcG>Q=URH#nko0qUYc?vGHr|UF(bnz3zoNCF-1P^VD!4PZX9vJZNfc7HqU-_ z?|eb+nU0xYAQl8Rm?wb}5IOH?ByzC`Dd6LR`59rC|ZQNoe{gUNB)DbTiW`pHQ>-Vio(N0%J2R%9>zRN;MV z9`YU9=8miqdA@Q9{Wh>n2J-#{0s^MgprdoOV_XXwmk)m; z!SF0~+Da^UKOVn7QfrLNrKiS#i=s7%u^{F{F)w@AhY9Q5K_+?qz>L@6cLDAM$(rn- zAWvkWIs0_;;nIIq)P#kLeupR#(X$iIL#7cKB9JGprq!Ohzi6MFoIJ;1h=7R)eEm@r zpN3!_*uafZspkP5ga-q;7IXa{MHQk=gdUY=nD;NHvSk_~77OYw{oglez^Ah6&d>!P zU{KipGxPQPbmkBr{;jwEdb9ri{*dz?FIrw%F__J$XUHL?x!Sw8q44%p;bo`aXW)~3 z$*G`?fe-%`0J0Eu37F5nw7$@{UOhAH^$f%+r@&u>7~!D4(njzYYJ$p&R#D;Kbrkhx z1FtB^EumW~VFUDwJ=JlBGN`q>(6hi0B7;Zg7<@iP69`v8wsO+=&s(jrGWG+d`2)t_ zPKJ%1MA3xtGM6PItx*ZB9E%sOp z=EA*u3M>Z{-9JG;-ujTN(MnL{1J>2nUHrA+*=sjx0sr214h~5pfPJ079UI#*CHEja z<;NM3dVPw)WReM>DyD4SNs~XiCoS4Iex;O1fn8BtMn(qd)fEP{tJ?cM7|eF`WsLrHPM) zV!#-(swPSAf|>@H8f~qbpOwG=!gj;)ZVspe;adzQO;q(?T^@yj8wD(c1u&8>6O~?o z|6KHPEDOr12ZT!1sZ1!A^w;>Fg)7bA3Z#-!xk{^0TAO=!)Zvv*A{q33P#@%k8p;4* zY`|sud`3Uj6ww$;1n85HO|iP2dYa>oO~}arKo97xvh7bIBkPXFnAQOXCnz*@%i*I( z)4F3NKuaiLRPYFjG>pdmP94AsyXn1Pus-+r?DId-`1#)ee8CB(Qt%OWRo(Zvo@06u z>L{6`dm6?A+yduvo|Fstn6OlB*dvixuT3IwRA4j4(%O2jkkDmK&8_Foor5#ZqFE|> zuFaw&Yuf+=IV*(2LL@82?fAn6Q9D(E84FcD2#ddZY8>QXHruxcxNB_Yo*D&YTLiLN zq#zPI=aIZ0;p3V(5>;m(t5pR)iDJDU4MG*5)rlZ~yjgwsqV88&I7xy$s+OIFcr&;W@WEa0a9wp|k%8GIkJThz;f|%uy4l>vGZgA%@}0!#7LhZJbBt zxBqCAAhHDPaOB9|rr39;O}2;|-hqQ~-HTu`^?}oTN*0Sd;Pt%%NGpAk%!vLlUhCM3 z*pF`y0gw~1i3Dm?=bsY*qz%HvOcPzFr0hhsx3+L544ZxA5i_lPZ+GmSFFZUc{_{Ua zU_T)&*J$S!-c&HghEZk@|H_t`eVfi2k{y~@MJ{YJc8`xtZ29YYCFiu!S-z6OSfb+Z+9h$m7{zC3{`!Jv!TP}<$?jLhtcLg_GybEw$(wZjw2=ctu6Eu|!JO5S z!t^KaXr{XqQ9DC?B)7cN{Z1_?7FZk}#`d;T?^vM7*m$#T6$fTkik7IO+7i8;es6AW zhB123xTmAO>}Jiy5A8`B6v2nSB6*X!@?1J88<`CZH`pu2zLh5LLj_{rJc1H>&S7d}UvbqT>di)|;ds^pWBnsKI6S*{1?R(SDU?xrsGMz0&4*KN zQ&@<9n?RE2OPOw|dkZ@36zkbP&Tv1?Ycp}}mD=Z_?)>_FQ-!EqOK z9TpobBkKQ2By3F&-xSDL=$1hl`w3QVZr&kpbF;ygbwNH*XZwb;I+~29K%U`ek<8+mi_`0Vp9d)wbCyc6p-A(0Qjz0w&bc6laKL1mrKds&zVUNqq`?X2tDZ+|kK@El!SLECJ3kz%tYUe?Kwrz+Z& zUB^T6e8~;ZjiF7{p}-TFA9)LeM9}a#eQ7V`!M*gtf94&-H#i ztoyc{Jj54ekM)ad`O9#4^`)8R?u0IOnEPB@V(~GI<_k>GJ-uaX#SMdX?R{EPGnuG# zoog0Jfec2{+K0%r?>Ahk5awm+Q`w4uGj_PqMUHJp&%HxgFlYKs`JVr9Z8wjDQ^E(L zi;qW=w{Fv-&3aC#1J4j2&sqXwHZwBu#=N4WS18ZqQA0JPBU8WFUfNuC;k(oYkof+e z*q%RH`b$pbzk`C}TkYF4KRh1*jWpm9;KO6ER&`@d*+&H+pCDys0X~d$*?*I7UZ z1&&Ai>irPsqzmJsz|w=PKvY_K4=lhAt8Gxw78ds3yp3ZIH}^G%Rkx!=pHKyrCF&$8 zV;tuTzsTXe0?nR8MQH%sB+s~gBQ=<0Y6j~m_~DZq7Y}iBe|oyXMQrMd&?QmVm6-f) zUbObEi2PUKxs~GL4c|H-ef#HQ@QqAQw*b}wB&v;JwUryhDu=MXOt-SH&M`Q{tOC-6HZ@lQ6zxcT&$ctwh0?Q#&tmu;m6Qwz zH4pvMGaZD%v~{;&{rjgPfR2s}^vmONYO7!}DO3Nb;B`|p}qs4P$n-601 z;r7oWBlQaY1b9sJiJXLl1R-;Cb5D@Ri+2wVk`G;5=MO1sL7M^rai5s>Cu*XvC>$Nv z)v1EfT2ot_j2|A?rskg@8MYoEn}zV6^ju$|8kIO6fOL2q7&O$W%v@{u*{awh{l`OK z;JV?DKFkF}z+gF)yU!XsD(aI{bV&=eK}xK&nd)l?$o)5lxWNXgRF5 zVAsvRL1P>3D*2<7s}K1szhw!97Imw-^{`8;tj-j=P)aE)iY6N29|-M9X8fAQ#&MhY z#jj_foc4RDMDU>=nCRHP4hI0EgjJ!;}Xs|0A{oWFJ_hE)IIaX&3b?MRzT60? zIe`p*1Zbop3JT?|#k7006Sz=l84GYaNih1cG8UQvf5kf=RJJbu5&|5KOH6y>;D)E6OB_(v&ISN9lrV&_yp${IgSU^t&n(;SUL?~M$ww$B0 zOEVuWmRDC1c7*)iefz>ZhQ0fMmMpKr{H9;Xkz@+*CfIx$mS+mvL*Yf{uVF66)B7zV z1Rmsrp$NIc$jGP>syJcrc!Ce;5F_@3SLpQO*I_6Az}3XF?=se8$|-1M*AfOt*%mAF zpEWOCy42({)%`kBp62y;oJ4A97N47=8X?4mwZ)&=ucJhNWL9Jx29+#U2?*E%f`cExFvofZ=YaEiMzUh2KyNli3hM|euE9Av zUBxPp^dh0M`FGtb7A z%o(Kl64U)G;|Pz?cASiaN2)e;4typOE30W>d1~Y_G}WEgaO9_X(}E2a`3EQ02<;#J z8hFSl4bs8HNLZV=oORv43;bB6IDd)l{{JuSusMQH%c`$!GOM|#P-ZSr%vmmKXshR_ H-tzwsNc2<7 literal 0 HcmV?d00001 diff --git a/doc/LectureNotes/_build/jupyter_execute/week35_181_1.png b/doc/LectureNotes/_build/jupyter_execute/week35_181_1.png new file mode 100644 index 0000000000000000000000000000000000000000..a1fd46ceb8d88dda39ea721fbe1fb12cd4d02161 GIT binary patch literal 27987 zcmbTe1yoh*+b;?z22x5$BL*cQ-61KRDkVq>A`Q}E&=Ml4l$3z9w4`)5(%s!%_nG)V z-?`@-=iG6|9b@mo-YnK!bH48rzj)r|t0*stg+YRWf`Wo2^+Ze=1qF=|1qC(c+7cZ_XqEp2$2 zna%#|511^hjhF{?x60un*Dar@+n}J}=pz53rV6FJMnN&Hk`jBY>JYs;YVUymbiZnI z{Z-Gy`$?$pJ>;)l#uW{rm-~6GJM`!GYtoK4OWBj9@CfifZ(Tw~r<1<^-S)HgeGigb zCU-o9od#Jeg|>b%%iMZ$r!>l1up=*MZKZWI&s%P8W{l5X)h~he8kGmG$jqgOGFR`w zfA}PbV%)g+4JjQ1{QtFJi=-U*K_ylZTn#@wa1SN^Pk)fhxlg*Z>tsIq+w;?>8}wn# zBNoiaC5^t*V)**{hBCb%d6*u3{Ge4^ZRGdc8$v=tHkFykwYUE4F89-E7MccTN0sMT zT3Mm8Ub1=nwynsHg9K~1$Rb59igRFKU`DgFI&x;v<$nJhl_MukQ=VfaYsdBL*AEU4 ziQA`nSe$h?Ee~q?`Z&gK+>n%%)Ozt^R_2Y!7o+W9ttjuALH_$4bGm{2LS`f%WykRU z_m7mXFv-JOfJ)PAy0V%t(^XEidP>6@7`Mnv9F!o)AG zzDq~vOUh;bomM(FPz4{Il9Dn@r;@3%O!mo^sh~Jxe_&wX!O@W(TxU_y1D9I$JI0L| z`Gx>eE=yb6+MXUZg-Y37CjlubDQ-SKA*)I3O&7RJ6;q8?74gv(6cotF$hK@Vw6kgM-Mi%M?0lGPh&(Hubcvm%WmSE>SNij8 z62TDM1Y`Qom6?7bMcKI3YP!sU9=IjdEI;8}UMKl7qfNaJSLPFm1YN4C^0}e~n z=VBwGDILS#h&mEpl-h|&O5za^)cwuWeBG6Reow;xyM9BUae+oiWhH#llw8X50Ur1J z&u(*CFDUz~x4RC~S$m2b5146xD-0RCfy1J=OXtMQUn|pNcZ-D3tb4y8FR!Md!JE~v zS+U6ch2ZIq3a9xJXt+5l~jGDK|$Xb8DU4GZvvO3ouBcrB9 z)Dq69Ki?kXPtHg9P9lJW#i*SO!q7J`keZkG8;gED%IDzVKS@#{+^$FLq@1RASXsZI zUb+&wn+N+q8!1wg@U_eqD`uZOeuT>T*;s0`?gs|DwTFr~3>So$17N@C+?mY1d)99OjJ} zM~y7NZ(3eYA~5@*u&oP;OGcPi7x`urZRXo=;^J2Ir9Xc?ULo-K@#B-T<8?A2w`fYY1Jns$duus) z`5#ajAanBc>M#N+1e%X_m*2Ni-GX4Q>n|byWbC+ujZ(VgXw{kawD9=r_Q-PsFOf2> z73-3?!!@NGn|b;6Xr7u>r9^JK6(Wty@ULt}B;lNAt3~7fdqo8WZPv~!+w&cGq@*pq zX)2rB+m|K=a`op9Q6Tm)GKwRkE;H!(WnwcOX|fE@3(eS4v(H~FS=qvRV9_T=o`5@P zC^}ruB4{IWTW5=liz5}TQBhnL)>F0DsTE>nBbZ(+4CLNBJ=#swtMh}@s5oBZ%hD>T zhE+SO#3{Gtgx`qYx?Y98i!i$o57b3DB1}d0~~Me zB(I5<-D}NaxvaXxa2$Cw5)pG(MJ+W`)!*zX>Kz%Y&5gri`S;XOWw%I3{Iau|&(6;B z-}DDUrn1{d?IM-Y{aeSCKPpNEnmJo9jI0I<83_61a1+8&P7S(sXye zVkH${oMjn<1nPBhNy$x0%AoZ0^sYCrU%wWUkhq15`+0ttetFmF)~#FI4vd~sQ60oD zte2Kwb-+#M-`Hx4=unInXw8H7jAVA#`e|gv&Cd^qvXfvz*NAsL-h=j_#v6TCW-Ho# zZN#U_TuDXxb1hXIm+{6LKay4(M%-3XX|gz7EPFmA_D0?=0{a4sC#R`**&3$e?H&u} zV{OeoF(6~{eeFuo~QS8lD#U!OU=Vl`78-hRzJ8v>ea-zu++x# z)lQu;cYps9A>QsPo|W^iRX5m+Kp?gv5xSa^PX_5GMnO&feX(K{y~Uz|q0{Vr1+(P4 z_p4$U=W`Y)dp#@NpCSu(rI0yBtj+ank&Tb(?I&Rq5e#HXd;hvFMzN;Syk%tNtpc?9 z^r24I?(A@EI>~=!8$B|i-^SR0S-P%9;Q6($c_amI|HL%i@q~00RF7~tW)c(;nK)%lq#375G)bQH}Z^9TI=(U5A&31ZjrJfCx85SUl-=3vay+Nu=v@UQK3f~Fo9QG9HmS+ z1B>bQ{(i@LBt|ma74a;3RZkCI0q?S$F4EGX#iDt9=6_`tKhWIvwt4DQuxhdRdF#G{ zXC0;c$>ZTdGsn~2{=qyW9K+_&$@2X%{f&t~JQN|ZvGPt%zb73> z>;fF)R8CQ@9T(B*;LsA{-4GR$KszurG&MVGm|t$#5`OvWRW|26Q;kB?CMa9P947dQ z5&>w9)}MB&tG+lgnM2${xA#l<-eruT`sZ|GzjL}WNbKwj|9qf)`s~U8m8!hg@LK0o z`cuc|uXNkd!<^fyYFZ`Mo`>7>Y)(7INZSh}GCcnh8#*q%U&d%%8y67)gBB0 zl*R)S6E_`#3ko;{1qJUvcn};M{62v;>Gjs$4UXNhkNm4~c+R8`Rez2!djIS)?ldXz zN?4@Id?q6yaRu^{LH(CUgtn6}bR;6{-GehvDLuV}WKmj9Kj|zsR@NtSa)#?;$h@6w@O)@!sMcykO0`IKze={Y z0F*pT;TYbx+|GLpP*po}a}H)g6o>?z@-LRz&CM69_3AfHGmVKg^WXXn*cwIVjP|4KR88AGp@>eaJ93?!#T(hjbzUAHf)c2>RmcB4odXSrLab8)OnGs8t z_B8sN1sU)`|GX?dRNl*hCY8nY@q6uG$FH~W525KHRXv18;fG`p1sRXE2l@@doR@#l zLN2E$r&$Y-#rH3F4gIvrFJQ`X9~~STB5b}Mg;d1(+QM1eXRFhHA96--QHp&07QjH> zZPV04d{B2=#{eQSL!-d&`}aH0oob_bY#gQoxMT@*f~VHkJI2bLOB}bUb8~aUu_dAK zd5)IceC+8icx6K4kRspR=$Gd`CpX8nH;d2}$@%Qq#TmrMYJKq>=VRyTn4z1aBaB4_7=x}9g1a%=$*&A!|L1# zC-*LDqOJtjy&9|kD#2zKC0Ix50x?JWLfURLYKQuHJ7?jt8oiCL$Yr3PadO-PJe0df^ko`g-{Orvk@Z zTF31g^UbmmWhDR7^bep%4&**aOwA}4i(ivwX8Iog8W6zr5 zYs`&BS()Ifla|0iaM5Cf@3xcG+6+D$`I0%XN-W$_=!#rbDhTNnx@f$a;d%Pr6XBRe z0^fHtcEhoo7?N@x;e|=pd0~-SyNr&H$MM+AMKZ=3ZNesRwDYYK#Xj__{!ArmX>Tu? ztZcQ^OZSb-qP;QrUfiKTIMWMh-&+r2h1531E?vQ#=zFfy7EuU5dt+y3X09#jusar4 zyw2i$@yYBHa$*z3AQG?AqPS#H)*EyTTaRUBG1tqsv1gmZYTDbeflmz;nzaa>pXe`k zZneem*&pl;TO2~+z#JA46-BUr6sOr;0M`(5Kn5BBTVo#26uev-%%i!@tlg?&+M(GR zIlMMns+6Y6@31jZGPJqB5BE$g097PP=<(e9h=|(&APh%}tzNlXP+|Nme^W`bk)4j> zQADrMvsS}M7JS%9_Q|C)QmlYRt%Xq)K4-`yObJ&P?Z$8fb zhi;7*G_jD+pHYOx#4cA2xUKF2 zn~UasOF!H{Jv~j#YH&?kTf6x8@9tlQGKqYN5@KSV$uhUg%FC_n?B-yfXR<5LSWRkR z^Rp|C{GcgJ%+1wL{P~C_iUoZ$(P?)HkarJM;e^D*xC5T&+1heIeXu&NVv{uy zyy;g=Q-zhdR9}7-P{RCDU%EdDNAt$*-5!2Hd{(y;2b2D+HYjJXBMohB0ovtG!I6>I z4D1%y2lKowDo_7zP$(%Wp?G+E_f)t#N5{l$?(O}s7_X?UuO}HYA1mXj@y0RQS?CI- zf9eODf5~!hMV;4n;az(ALtuF9ue&{be6H140Y-?2yB!!FR>{=hfCw~lV5Fx9hFb@B z^ct$*-rinss#1+*%5Z8btwz2vs&Lbn2M{lSOeWGCn|wjdfPU)bosvSs8xvSG=Je^^ zI~1VbsTu|J<8H^Rc*E+Yc8nZv{?`8agNlQLqfuZYZf$LyCCDb+_Kjn6b5r;9Xo|&) zp*Dm}eFycKljl`=Mg5}>cZ&@6d+=8j(xu)vCEFCF6DZyl8b9vQe7U^SI|@$=`|zs9 z3ya;j6NQhjlx8iP7UP~|paJ}9WxO)3IqacPse(5)Ipm-bL?xi=%^n4z&8-$@o6RZl zk=kV-#rh}}!Z|@ zVm7r37oKO&o|PTWMZy1h>9`#}7>-;YuT%hfySvoKW*Wt2gdIlzRPWCRbTR=a_TkFV z{!C3tOUp;1UYIOL>Acx@@7^8A(Y*wTIRya;`|~kPC1q>3UuPSbl{MVkhYuejAskU+ zV`D)k=*duLgB)nhP|pL1F`F19m;fzlWu&C1bMKd73lXm^ErgV?5RL>8&*Rb(? z_G`6$ePNfbVt?;5K~*cZq?)b|n1-lJk&oex=6C$^=i}9B=z`~Gr&z0Q2b12dU)j8? zs)Ru!5QiZ3_4lvs=m;8jKaT;m%4)J29auV+06Vn9S6eep3auBqMR!sY-hS8eZYZN> zIBau(a8VUOyUnfpah(D8h^Rl+On5B@4q_QS+rdp3ahOZ+gly>-Ws3cEsEp0 zf8PU^pT)TIJ54=}n3A2|u=UVuyDuBRzSV?D_T;=ugz8<3zfzrmn^Rc$YOy;RlY&1I zU}-RD3f-_M5VPW$8U_A)eI^Av%l$zhpjd&NLDo=XzdBS02-?Tjmj$1m?N#ebh>46B zrQuYfUbtjrvX+)PlaWZ$f~>aPK0)23qhrkEc%!o`|IOD5{Z-WLJ|;96iiCN z5liLvcEC4E_@3R#=g((KN=hcDraow7);BcJ3{OKWDW&&$RsM_%)6O=68wFT}(phAo zb9Q!YQE_(kW@KapQ5w3sx)ucHI^q;Yf4>co@BMU}xgJ&-e!$8RpwK`4SqtqL>)7RJ zF$JPE*J;-TFdGWyF`Dc*c3*g&t)VyBsJOVe!VV7HLZ>?+T~c-j8t1H4sHkN84xeEo85^oa()*APQ>t)rypwnJZgyOW>{nKZ8&;WP5&YX-{Y*-e zaY3lu%l%P*Pleo@Z;Gq@VPY^PV{^u~ew^JO@;TBc{nMw(hz*-cd#1O`e*>_|d2=kr z1i;;q+Ph0}hTbkXDGvw~d)=L_t6FN7 zK#x$*H@*o)9=Sh%e@rOdF=nKH{`@IB*=p&{P!B0I8}9xgNBY}-T^_3E_Rd#wGO{O9 zQjSwb_z9`f3UZSN6VG!u3zA*x{K_7^{E;mBEAqn&wN%v-l0X#U?5m_N=FSe4)MkRq z%LOtui+;eWx*X0%l%4Jk`;&6DFGRR4|IJh{Fd=~61DJBGF_*DiJ19FlTUYB$3Fo}} zbfX4mu+WSYvf(={H8(eRXSuUID=Vx2p1pPRx5@^EZ=gtbuExZ8)1)8ouN%?XwNjNj z>^hy|1woG6F7^6?>|yBG*5BX1aSkgeg(pc_F<Z4#@+OxakNJBgaA;QnwqNS8h5Fgtntn>Q^|am2NVOFg1-?e!r@x!`oT(G z2e-??qrkwg=yv9UHd3us(eGiBAVL4h>hl_Fx3pr)|TtHhoMwDC7bI|Y5(KS7K z%~JU^L+vK;A_%s;=-Sx&zkdm1(T;?4q6Pvs~z;0?LG8aQ4>yZv>=vq|C8r!O#C>251WGpRb?aT~1EIa_x>B-5Q@ypAzlY#}JP6 z@Of5_>#^MxERvmC5hJKg_wV2DOn=S{WVjw~5NVyanY2(?vz5QH8v5yWFF;XK`(AMZ5IFy2|AhhzpYaqqyL(xV20>Cu$M{FrcNtUo*L;0__ zdk;KlrOhS0rgx_4doiNZO+<^NDm8fTe+sFd;^E=rQ>k=webo^w2d(uw2FBDU=8Bgf zg1DTY?hjJ*Kn{V>Eiqohy+0z`3xRKX-+_kog*Jbpq#!p7d-m6v-fgP{!S zUqJZoN>iZ$;4TCAB)7-ojY(V$x3#TRCL7Hi44Xv%EW`Mh`4$M`-=C#l$HYWbMW}g7 zzinS*lX1V3Pf0WzF1(D6&Z1X)4SGu~_tl1)nva0~zl4U0!D2d0dftYnA0NLz1(4!Z zSAsahi{GK&INl&_6X74i!ta#$R8r&(VF5stK_V3-PGcfvdI)ViYT1eDAffu<;bG%n zW^NAqqxO!g1^o*^8K7a#15K4Eza0by6e4%zTa3rTV{RPI$FbSW$!a^!hH1Iafq|n8 zQf-QM?p-mZgdP(f{$IB#u3L5xEOn^ASYcvp3zT;3p7?zo;sa2#go_J*R#uioc5-s^ zO=4mxVPWA|8jQJD2~iGqehHo5A72tYn7C9!g7alQ1J?4|wQCc|zRHKUW>)XSU|+wk zJJT2pt&^s~HTHj%JqP872o4iz=MIY$ek<9ya`O_59HruzU2)M}{4D!zo+hS}@@bB{ zrZ1XkvT`o4`x+-~5q^9;JkkBN(Z$iyqGZvV)uvfGf*)IARE#qxWbr!ClvMHYmDPN- zZeU{r)}Ak&U4NKerl+R5vf0p+<%5eJ0(=R&a9dyVPZ4}{;>FiVnG}r=XZ3s+r<&i4 zBYGj4_?3?y>OevobC~Lx=5zL>suWHEaeie$D+cVi(bI?R>gGwMV%fB6 zbcs?pui03>?GyAb7u>m4Wg%aqJ&^o^ChN%FyJzF(Iq*_ArYF1)H>hioAW*FSW=N!0 z#3uoz@ruW*2>Hx8>#!UtKV=}-d;j2q?Qi;Y<``3-5X*zvfg;y^_NsOKIVyMmZ~k&^ z(pOCz82rQ-EV)1-*sNz7jd<+VI;~I}NU?^iRW`Gw`nh22KD(Dn2)^ z;Zse|&hRb%p*)cv#`70s9|KM6o?X3tl4(hv(^-9!&_!8o<|B}-@5*Vv_?dJn5MwEl z{q+}J9d~#4xz?{C>2?i)4Nd_;GCEzCh9f7Z!{Y zC544i*4EY#y{x4C<5e8%#qI~%?x%0@#564r4-Q^}Ah);Qw`fba&Pc>Eg-oKr(Z2aq*`xDHt-Q zO>*3x(<*lgQ%aN|cH*%91wat;RNq#?6X20bsht@iv$kxB^{gcjpoPx(1zX-93UPr! zK{!BIT|lpuFauik3DSLPX2t_V;PvwT*vY_e8K05}`ivKh<`GVV&=e)nh5a$S`^YWD|dPYVK0HUQ76pU5| za>13>H8PTf-8h8Wfz{yo-&w4Ly_wm6I4pFMP+BE4ppJs)CpI++>Iz5LwreAUmNd_( zJPzybpJk_}rUt$ICO4PU&~X&FlJh!j)$MM&h>}{8v9h&G(sH*=xy3h5#^=Z1njvmz zH47Q=Xyn;u-^+!_DBmH{JaAuu$M98ySCDE_5Giog{^H zSS(UbTw>zast)|=9fHUHP~I&;8TzT3CIWZSWl{h-hz|%!6H7}bjq^2;h*0qU(p9x` zCk~|9gWSNoI#e(X3Z6uqV{<4SgGRnjo>2#=>*8Q8B7X*!;4COFCkN9(pgmmrTEh;3 zkcgNOe0Khwor-HCC89wT0{&Ak;LiX4{Yxh35?Nw1&kCA6XtJ025BU@U@t2jA4S-f| zGcS8B*j}6It9xTuXWiD~pTiZQ=~^W@6t;qFqtduW?f7E)q_gHDo{GOovUqa^-;5l_ z^yF@I+YUYt*)3bnO&Yybvu#&dH0^eD%5WUB=uX|iVm_4LWQq2n)maa4OT96ry}f;} zNx>xZ5e-0!1h7Qa3&G@q@b(8y0i3gZ6L2<6_SZ53bD50~1djt<(W!>d+Ik2RbkB&?sgI3(QaZW(5`VtlZRG-hG zp$4H*Wh88`Fv)psQ4szEF!f_g1T!LlKtlyxM&i)l$LD3=&!?b!)qJjjy}~6SY5wv+ z26O*@moa;56ju;r0Sc3LStBSh^?-1U`+kN^+VHc3vc2>-^Np=S2#f_xgWV24(v*`i zP(Z?OjTImblNN`|!aifd=Dh+ap>T=~Hli1Vuu*#$?$n^?<>Kj8)3yOoHd^uAF?U|56iwRoHpOeFFtd5xI=-Bk~-rinQ3&z#;bqjW* zn&Dy60u3|vKRrkrzorKWNH&)L>&Av9Scu?kBqb*YM@O6b^gy9hR7HUyj5$Xl#FzG` z6p968aP#(UqsTnV)gcam*xS8-6HWSl8sgtJ7*omv`DSp<9b8&)ETb1Fr4 zKtQFg!dv5?rN920pEpdsM}Rb6*cn6NNm^IQI>xV4-0!59`#1R$;H~5)ods~9vt)x zwOlk9D9L(JDghv~sj;zfI;G=~O^9Dt=ygJ}cD7{ZGswA32AVC&PiWwwB%)RQ`7`Nj zwXo}iC`#bl{3_eanQ+v$va)h;a+;IT6!9q=e56mryi$3iN++QCS6y2ABnKszbNyS4 zq!)^3CmFX5VS_F6n@(e<$;`-XTpeF&54ACax4mHdJ7w*8iaa^cmbl|nh&!)m>4vbL zUS%gB{W_XA^z`%?3j#*G$H3qZS&d?OcH*d~um2U4O^86Rea?cFEp@nnEiX9>3k$H| z`~7Bp8R~d|=3@n%F-56@ergsmfq2UY9=Mw3{7K^W!b!My2Y`E1T5IbgYzUp3H*Y=$ zugaP{5BIJ+*;pZ3<$LAZJ$x>7t!5 zSnG&nLzFqLOAq%4Cf+76HJCw=k(S1I`crihxbJtJO1BKnqCgl8LZ%*I{RcoO!y8^2 zuM|Q?JY)q&%bknjabd!Q2)1NrZFJajw;p&XF}v|+rFhHJqqh=46m6gcssW*fUQQ14 zIggy;Rw^!mo><-99td>y+Z`3KPisfZ#kZ2Otz^B^lb@FT+Fd4H=L5KU9DAb$9krFm<97@ieA2SALCx^D{V=?<<&OwmXEDjqlzl4OK z(!Ti3jtGen>$QqwNXZ?q0Ulda*?q`1Y1B6FMr}{NxIC2wR-Dw4=+!NG((zOB$$c>BKV|N&()rk81j|8dFsbDn%oFQ*7&&^#>RFQeocbWxacHC^o=f$_A6?zVWu&QURts!z48Ta7t0Nf{Z^f(E3o++ z$0|$l?Vd=q)(8Xnv*5c3==RamKkbZ2!%wCeC1I7o`JvY)fn54x-cT$z$4*b^1C9X7 zgkJwkjU5uR!FPVN7o&;zjuGdlSLe$mQ4We?9|}-s7FvplM_e!gzx)GddrPhHxK{xQ z*WVZ@%*WZO@h07syO@6veY6p(S@Sjc#*&VX6=74!{G(}B;^%aECl+E<1~Dh{S@j5*Ge*Vu?F5rLxu z1sDDXLHv-~#5~qBY?TdwXJBTocKhl>Sv~0P5Y_X(MVYq~zN>9JDwvSVe6PN)X&2@a z^NwVfkz6_V4$RsjfLd}cAX!4ebdr<^A@sur(2SYSQ6dP7pxrBU&T;KJWbQj!2K7;#XF7eNP< zQ3Kk!oR(H}vMAdZ7&6GrTxBCa-tG|U$)T+N9pxTeXdg{|20_G}zNMU4($fbb|ZG@5d8v1FW!5peKa9grB1 zc!XeK62(6eLI%V_dJ7)T;DJN*dD;p}R_*X`6rvFvI{`lj^WslS%MD0eL?;Ku2`gLj z|F4!muyfgq4DzN97lLDX*pj^YjNdad8An^3+svML9-+%y) z{LwN;8!sHn_JyuQI+%k15%tQ%%3vPAd{lTUpgqRjN!OvVc}*jw6G&2SQBewD9e{cr z8yc#r_%OKu^ra_N=^o5pq$wqO>87oNSW~k)2M(GqFiW@-g|?PNXj0&5vGBuIVhR|7 zGv?vtHMP9l0xaShXgSb6VD$9Wa2`UvNXp$|xCHcqWDwY4JW~luHbYA&2+m)@%d!M^ z#9zng!E>Lc-eytgqm_b3}dhTHM(V%hE4Y!;-`{R%jQ5A^W#R07^v zQwWe)F-`daA%j{~SE3|1D(ZnS4Mh$bIwmoz2RK&q^l^i}fXYFeHyz6N1(mudQ4;5e zd`xq{j(Z!Z%`E`6L8H@~s`W*IK6s0qTn^MQB7TQQ@Z&CYupq%B9|{2{WVBIq7;ao2 z=rb9&C5pIGF-%?n)Jq2H4b~bSLH$SqzJ1HF(}}?ErVtt-mfP@D z$-r6^+SCEFsQi%C1%b}N!C_){HY{BWhm89(L=}=AP=nMf-2@QQ2mYMby2;_z?B>>% z9z?Wisv_0%RSaFGDDN`aHd2hV!k5Q`L?`rD)OnNiQWWtC(Z9l!6H@trU?6<3H&ZhL z+`TT~x(Jfb&wiGk3@`~HhTsw^!bY18BQ}Xqdo&d_b-iLLvSk3(bL>_%z|j){{}MLB zOTXf1>EYjOoeuEf{%lOvU=4%Z`F~}b$&eQQZ*4O~QYlt22doUjq#w{e6iD4!Snavx z?8H8CF1x%aE5HDc_aaXwRIR9APj&9{uTEW@NVAx1HM49)wI{-xDzZEB>69c zrdx?xh{M*&c3-; z2KJ=g&%;jL9O3!6p#D~YTX6vG>>3u9Ay}tC^cz#79D$=kx3dDr0VqzGzH>tmC5*pb z2UR3-H7za8i|KG?#(-KjvI+`K@!MrWnAq*@RRz}a%CAHri8#Fjm*Es@|T4Fn^o2%pbKqY!bWw+NdTE<{r!8+(aj?>(=5Dt@3nk1H%#0~ zc;X8?IXQ)|Cm`g{k&F|+I+TfQSZY-TFK4&!m;Mvy-xcSHuv&$%TDr55$D1qh3{G9*DX`~X`I`q)D#^<6w9l3zTxh_5^dy zz)|So!*qu8c9MYljdPfaEYN5J@h;CLw&6xT48`yZ2*i5D*{elE}aTq6q>IzGBdhg=mxzu2WzJz&{NJp9s~})w_N^eYm$i z9yhOldU`roYR}ANF~e;fI)c>hax%Nge&nus9geMZyux> zOj1sN=u>c^J9lih5&_oq1+%*gy=i!0MI}R2Q6EPGM$`q| z#Odu(Y0#|FX9o;lZ#P(4JO?i-N#petw25BU}NFPP|;mbT9@l9{J7r$-IzirbbwM3?C8_&|NT(kx5Oi zF^5YHE@aa9Q|c#2aej}yRsipnHiXceGpFOe{DH>`Txypr%C@H`pAE|Sb`m5 zT${H4XBVqC>&0=&5WUa%A`lQ|kRKtE!;>SOzWp~wTNq*|e%83oZ=uN^*q!HAqk)t1 z&AI2eVYGwN;O5Kb_3e=M@gRDl%1p8MFrccI^YXo}z*QxFaR~`li?K5P+XNyrDS6&S z)11tCsoXk)UKHc=9RzN7-C=Ulnvt735;~6HbJFaxEk9kQ+y+X8(z_yR+E1QbgEI~J zwnPa;GBR>=Q!`4%$-=gD#=lX{hPEwr#B9npI?P;qH=eXbxRpaC5z7cB} zRIxEIem~dnxJ+xCuyiw_^{S3i^K+*T3=$xx>H;0JU*MF}>PEK8Yg|e{`OLc$LOp4N z?8{;H)ms<_x>W99gYPtU6gW^s&AWOWHInSiP8x@Gv42iTsA}#Z`vkR=bnVXJ#wP#% zJBN{)zB39P0p)8-2Lf7XT3Kbdj&DuICHQZjJw6n*%kaIPL^0`^bNr5H!%kA(>5DI8g*MP~gvlkHewR zK<_7FVq#Lb{{;6?^54O?2hyRB2G_Bb*cbCP>?(VLmsmbeTpLsQq0+4~_nN@gk%m8JwlzBDRy^q;zdS%=b^U>&)ua68bev6f{&}L6oMkIp#KZnK5)Bk zm|*4~B^8+o`1cTCOe6Yi-x690c5}_R=-{c~t;2cstui|UK9jf(;gk;pMWvn8NiipU z0-ki09VKRL3J)zHufsw^@xh{~MrKQauyDJd@dI&g+sulXZU{00>0G@qTdPDl{4$K^ z24|K^x+PEk4pF1CO#RBWwknChQD#^@WVqn%Y}>p>Hy;f2K)q)Lg$G2om{q~ST{ZB6 zZjzE7*H&#wCwArhXY@Rz=Higxmp9v=`J*JYw_F}Bkxlk!*Q~$8n!mKVP&`Gce)(a9 z?4hgtlPBL*)07n$8Df`pnn3{u=L`I~WU_r&JD8GXYOy0FB@H>jjr#dQR~DB4-z6J* zwxXjCP)>hVlqv5q4f9>@Tnfn?5Ndeg`styHOPtN{n2lVfoPxqUI4U5I3o5X|{PAU& z1@0N&rxvCZXLyh*U?T8F-L$p^J2S?=MQ4=pvMTql_H2KjzjU0N zEPCruESwb{RrlHR4)T=d_vaG^DRm`p^oKCd2a&hl7eEHMTj%D&9<{seQ_KHkZy&m{ zJ@wf!99wFJ?LxAO43*Eeyw8fAN&V4XvP`NN^)7BzyOtos0`75=nD!I7~X+LUHHJ zX!LmV_8QiwLQ9Wo{EKA>Ubl7fyzcImh?1$o*>(7G?nMp`I^SkqgCYv}+=24hYLBFK zF)n7-8|~qIpHHB|bluKJ%&{U;J}fOJi#jd>L3Cl%gy|k`@Orzr#m_>J^%JZ3BqduD z#eGDbRri1(%UQHJDzQs_@YSFKKI4BbmUTa`)s7^lWsEujT{c|^-??8|eQ(=3w@BEw zI&|hI@~DSPXQNTY<_j_$>B}R}q*)7UB}WSA(HAg}Q&GS!5J8(6yCWWOq3LbOnOLJ8 z9~IT{D9O~yFqJh(j;QkI&bo)NKRrKPhht)J)@_jMJ_aK(#!bjnW?K!$sAG=gEdp|i z{ij+#xqXx@%KU<&HZ8q_q6D_bGh|Bd=-d#emz8ot&N%p zaP!^Y_kv`<$wXI5L>bo3?_$wAN-2onq`p}E*x{x9VO*C3R1{tE^o=2!8(7(CnW|nT z_*AHC%BuKQ7c1bv^rm7#ZX<9RCE8?8yu*T1gZr+o)W4Tr(b#3w+8@)QwD(#iG~l>v za^BIkVr_thtz|25(Btac3%Z}>8T+xnrR!}IYVTib4Z5`?v&y@3<`y*9MTAtKXwF-Hvb;v|GminN^k zON;Zu(8{#WdRMrsv7SX}@2@ z;ilLdp*7)vocwd9zR}3%UM^;fpT$tAZ!T;#wamj}fkH)hRf<`+#*;WCtxt9BoGLbG=i<7%%bjzfWt&{Q;^Gd| zJj$v*E*FoAFPbi7EVB_?TDxv(WZ{XE+A}8yMbz&avMULZ>TFqDe}=PBE$M1Q2v2Ds z29-iDj+4|iQrbu;o3$Y^XqV7X788#31fS>MBW(6>r5&7>VZ9NE&NdP4Kj(Wlq%pVg z>EvQa2LF;|VfG`9pU1Pw?z;MKj37d8-cSAs%DI)jg}9P+heMV_s&9X)qi)v~Eg2_u zUIrzxi$f~nYA2^^UkKmE|7v@o8X%Lnlq(j#L`eNWlnNS%*eC>FOkBag)?-PQ6YIyZ zqzUh>{r6r)NPp+6`N>1=>}O>&;x0uxbmWT2>gmDs5S*gayGVGhL}`yeOb)g3-WWd) zQZ;zH?8U>1w|@I0mv%GUOB+4nm_4bclMbpf{ykPl6&N|X8KXVK`)!^PxVJ;-hreEFQJR>QVpJ_s z$L@UF^iCEbsEb6>Qt6t9mpGek-SyCh!tp=_{RKZfm+fi+t!zrP6>gQ`;Qsj*< z>wP=y_X6dkwHY$$29YwnR^#5N9p%R!my0#o<*EK{!v+|H;PPIsl89@r&7r$IqWUD) z(~-Gg+JE(i|1!RDeyk^M_+1+$G;xh@&$L8moh?xBB@KnOCjXA$cwO}%F0l1{otIDq z|MI`Z{v7_rl&T&(TI~(2wb+Q}?Zzk z8C@6^BjT|(5cIqUAgQAc&v`>_I86EHW%_=*gz7J0s;==R$u+m8zVdG?HUgto&v}Vj zVA9vz;Q(u|Hu!sjEkCM%iZZ$tec0pxbJ$z}ii zg(zk?;jw40u<2J?{6IjOeWWt?Q4v-tejolE6tYA>b@?WJesJty$@ln2N(!8zHFp5d z1?8PY;^V|F{+3~*WnIm~!5@v%{~&6PYV3LRAq7FidIKD8I?Xf|+{IZTi~h7yS>zJe zRuk&jZWcu^t`u6vUIqhV$T0&jyZu0rhqFW}AeVq-Of!56B4Gy*;a{dYCDspMTHev| z4HN^Id{7rV?QBt7o)i)17^blB_1#hm;g9$m?FMDI^bv+nCEXKIlftr|82-6f$F* zl#-J8EIlCbKTuvq6XrRn53RrcPbmLLGS;5y%)dE`?UP^L<2_pqHxxeasXm*B<3`($ z#A9uSwE-0<*a3e211;L z>gNl$5^`GLcq@EAgQDW+F668#KR^F3Q}~JoR3HH{LKO z{N+J8ILBg8YTt~Rh*W*Os%382FuHW^@7Y{1pNJX-$Hhy z$p9tLus6BC>NR1Y^tGOlU+VCkFX~Pv7^KJS-{;&v`Sq+m?0h4i>X~?}n*X8hKQZ z1K(|-ohlafj}llB$6U$B5iJ*Qr+E(JptUyA@-D)?_A%GHV&~*VodXZCzAr0&O{Mdr zLCW0}k546=tg(Xt)FH=?J?J|p<-(w(`s`W1H?AWfbjeA-|2fTfI204e{Xo`Mk zP%HXjD79XEc*jI_)2J5tNE|CddE2x7lcY!IAhWK0x`6kMiS9V&b7$`L6E>6-+#gxb zM8CZyGl1Bn#YF&~lIh|O2EcF>K-=E(+5Eea)9&XI)r~9;qj1LbC7T&pKvF7hwJ?HO z>y(Yv*zwLVX_)B37O5T?4=RnskQ4ROeYSgCF-T#vwjkdvMB*)Zt2Wf*3!9N*y3$oP zNhYyB2!!>~qxmoT@GAe*&V@wudGsB22HqByn?~4^bOY*u7yp@VIU|0UgGVP!%}JEIyEtu>7Ox36@-zdYNV79ClDlTAV^6mgUr{z zrCVi_79D5>TWk3MRGkDtHyrV(X2<0v2kh}ci^HF<{GRz#OCt5oFD$Y)`jcP7{_*y3 z@B!n9SIo0IorspL=4!=gE$K*3VJZwBWQXefB0jlh?K$U6-dM^wyh=*0wO2GXyABI; zmkZe;r3~mv)61`d=)L=&R((G3>^)`7OD$Gx`t~Z_PN_T3pQi>tp%X!5N*TykWGv%f z`o6KGo6yF~o9vm>MGvE&kRuv^l65d~YNC z7E|FDhGz6}Wie-ok}O(_5kDE%Go&>aVqfNe{hEjs>#MIR%RjU*u5eS}RlT{fr-$IC zN1n8{|MncnL)pZ{{%(824`8%hpOpKGS@+3vluSO zI1KuShfz?l9|#G+el7x&GF>@C`y)98XUGkcuV7u34@nU5nZGae7+#)ViB}AKYazG0 zO}wDGq0rK88&@#ct$SVRexsrf(hn*O?q-c=Cz!I{=dFq<;+>k@{{j)8(D)gkwpecN z;c@UmtD2`Kt5^hDl)6sWT1*qtE$)gVfhZpPEaXqFXN|+`nuTfFLclW%$;3F$iKjpA zf<4eZd0i<90b#V=SueQ%td2``3hy(gRu$AdWGCZ(!9+t)eSy01)sMNDgoO+_rPiEo zEe~3yb=iI^Bz=iwMmJIv@THbhu;WjfUAYb3g^l^$XsbvWYY||8q97g%y%ugIrEhE4 znK7+kpXr&ff%?OrZ7)PTt8it!sl{Nb!V@>4(I+6#V4Uwosw<0)$lTYVKwGt9Jeu2F zHzcXWHmMLWT&J`q z>KpqPIHnblcAk45K&+1lqwN`yc11Z6X;|R#gNGAGEy~T$uLJxS!Pi7G2qSr>)}gR$ z^h>jmO7Td$7k(VIs{8)ArEPdT4i$rxmxu?hr+n>K2&kdY-+Sl=j3;d+7?%RInZ-SE z(GiO0BVyPwwC>}!%!p=An>18i_g-$1!`^#jP0I&Omf%fn??5qUQd``S9Is~ z%Zl*^7)(`r?_v!doMHmsPM0d_x1pnCh2|y9*|*R=FUaz|hbO`>j|BPq@aThgpM)y@ zr2jl!pCdr+Cj~6K`uGz@}E^A`}#n7E*6}-+1_GF9v_Hk*IZc zm}>eNeBA_$Nq)Hakb883ft^L#)Z7eM?`--^U*}rhcp%WC#?4A4X5QpE4!1E`omRfG zesqhYy1VmIisn(b;VQCMv=^uB)kZw=N=tZ7$eYKNpX7dQ`Ka0bW=y{KZ+9BKm@d*q zsuKduw4am&WKU~x1rJkv|9Zso;%xgP1ic9Vy+a$}YZn4iVF!hncdy)cwBznSst2aT z$z_HMqCVBK2 z%xju&IdVuqQpTs?2Vr*YP>N6_vJD8BqEnNdOZQ|2TarJSa1oaff*pNa5WZeLgRGIn z|5Mm`$5Y+^|DP^ha>_;JP%~ecoQ@wO`NY<8go0%k?%m+{tVd!lGxaJk`_b3=G5tS>&aW zD9l~Vy__yvh7T_$8(_gOYzYw#DkmDe?`{sGU{RGtW>i&v>41EDQA8?4poJF1t9>wgZ8QYzqdH4Jn37}KbmdysA|8S$ZJXtKtNuQ!0W z@|#^O@oSfALl~Q}0O@h6seeO+%3QPMj$K7&{V>jov_2~|KwjjmKjymV zlxCZC!|3Y06UI(HFwaL#!@Mca;ecXsULsVb2YBuY-S^E*-R_9mWBM{@b@lmaadiaJS8zW5k{8|WAGwRgK_q=xxq25f~OU^e7Tg6Z)(mf zBo@Yabs}R8A4D?d;zzzG-fy;bqD9)|;zred-ijRx7L*K91pNe=l0R_y%>DXRZL|3C zj1h?skJ^ki%ep5%>&zBUgSQl0mP12Nd%;f^D^RM;gCFiHsof3~&NWqsriTp>B-Cy1jVuLyC zP5w-dixU_I{#De23n3WX?G;X@;r}e1l`S2;CKrX!X=m^sG&&)N7%Sr~jrjZ#jXJ1s z!gWpD+h~d@SbEM+d7Us+bW5F`BG==lULiYsD}H^tGuiozBE;?t$bUm9H3Vv>*651A zOa>0}Eu89p3ZF|X5GgR^^p4ztpAifh*t#+4ij)y#T)vkQjq|KhJsVz6e(L%5E%!6# zA)X+ZZ6ZLhgC!Ugtzm?dC>B(_B$^fy;#WNO!L@!B1n=PQMTVr`OO6YPlte6UCK^Ozs=6r<)?`f7h8-4Y;wJXLi>d1X}Z02x77~Og{rXtg2}iFD@7wR!DBNdI+zUzFTOIx&_K7_lHsMDUR+`M_{h3V)Z&d2qUderqGv-#-*9tzh`5>*2^Dh!HQz$;PGui5DC#tveG6Fg`-6<8Oh@ z2fCD*QHO>ZTyjaWti6?$e`2C>^wQr?MT7`IB+v{U;7$*2j-^HZg;_k`S3xS^U5Sc{ zGP2v}`d6(X_?*o#UI(5)(~lQm19B$B7ArgUv5Ra1zZhA&=%C<7Q97sDkdG{XG#2hW zdX6%e+iLY5h{m_+dXf%pIZF zxovtyD&Do&)f%Q6R-jS=jKMZn6lOlzyskS7R2SU0_YLsb?{7L4o9(2uyE2GT*_<;} z@#pmAQp~_=zdWLZ(}jZqd1F|oD82R?-pPH@n`*b~7X`D{a#oTdCFf&R>>tH0J@7h|G|4TY~9J6~qr`s;9}|S0o8iwTb+U&vSlt z9A&sN8CMwi^K5dz%bEwQ$kep#aOR+)2F@T%m0k92;zu<|i6Sq;iaf~B`;yl)T{|^e zsw^|Vi?6FMGMKX)viQ!xSxTN1EMyl|)Z5aPSDyyllS!|k_0y_m9Im@9dSFFUCr%}7 z7AbdZ)f~1~n%7#{EV0^L9*o96CC;uCMTh6Ig?Hy|f7nx~_N@Dp9Jgyoi-l9?bJ$wY zP{U-YU(Wuet~v6m4ABW2WY*2rmy37F|E%g!7G7os8<>d0=OCKDRsGpTLYngEoZE^O zkDXMg4QfuCXZA}W!C+!w(e5+;eJX^|LXc{G3QH1l__}=@H?Xw(7Y}yu59%e-Zme~$ zeMfoE%BcjR2NDdVhE-FZ^rZW;D0ec|G;#eb2^cS38LjG9&jqK))2%Zb!YPmi#R^ku zQPHQ-;g@<6A=M8>oTYnD7fl=8KIdBZf;c_bTRTsgRCyS_VuP=Lmjxh2pG8*f=(prC z6Bmza-&yzJtRSy#x2aQ1AFu{{!12S(1iY9MUVN!^=b=N1oskR=Q>}s{z3)-62$LFy z5nAl~Tqkm*cTp1*V1v`cCM5PurhT)`VOYT@;!4Gr4U$`Rv)X5OPV?~U-^D^Y8aeO= zaC=BCWYzk0%wGS9uf5CdRNzRQxn{EGT*U{{PA&}8O|x(FhFz;Yfo-u*vQeV%g*R5gMR=wvU)j-Fz;Tl1KCq*f&U{ez8YN)2emGti2i zO&ggJ{RMgoGv`nwIpvPU^_=`20;yiHfwUn|dK9u1dDJuL(jnGhDmddsSWJUawmovO zcI)%zPt=KGM_1^MMbLz;-U>+)YK!F#*^gx+*Mw1qyHAvyoKx^~H-FlWb;0?KMLrb{ zP+S`YzRXi|!!5^-sW&$mpSUmK7ojGg>DDgF^XE+}h?RczqoGavRP92%QqxYAfe+KW zZ((jf`WVM2G!cI*(Sx7=Tml^9FyJmW<%Fd@zGE}9x!#5hXKr8f{U~=~S?a=%Sm*EA zu%9E}rsN5vgjxs-o`{fM=e*xxVP9i-#B^jZvl|ywTwGRa?FogafgTYk36I5ov2m0T z^?UI<&z5H)z_^-nI8HZ%xP^6eb}Ds!2~V0MPre27u-Mv%H(Lp{0lItSWR+R3pI!(N zc$hZ-F#X=#lGS%=K#DzRUz(w$;hckiXT{1Jij zz;@02r|7ZAO<@x3JRk12^3A(PlU_TV`ERJ2(!*>9;g0ljjQ-YXh#3z+*qe*SH2uQ% zn+j*Bt94LU#5o}T18L#YjLDXtX8*lM7Bc$@wdD!5 zh2m2v{MH|xIkwfXlH({nSR|gMc2xJs$GJG+v@bhX9UYx}ooylh1aYHl?zTHiTY@hN zM4NU+7L=Wk95&Kl9G548XPdDqKWcZ+Ne5JLtrn8Mu8JAVzvFPfZtrX&);5v2`i~`{ zlm<ZuVuABtzm;QR=hPY69gc zOOu7pW#Y52_N7mSc5wd_P;0F>aG^ok2XcVWJhTs%=dcMTKhc@$6RFeBd+ZE&dDRAa zZWsiQYdfsdO08Ee%d499DYTU?!mP)-2_Lb<4Vo9Zjq63)d26y@Zv61>;KSIlq{aQQ zZ0s>m`)$su{%j0{pX!(Y{Q;My>4vefx|hlo`;E)Fs0Q9x&JCC)S{w9&-`wcQC~##QR>IT^tLW#_ zMV4u0UsLdKasm}KFys}HLR*)8$ErH@C4>cgyi4t)-S|As8R7hTi5vQ5{moaQX5AV4 zmCV5@i;RB$S{I2%Qy%#kvcDKq^4k-8Xx0C*+3v(6|4I=C@3*wMUq+(8=>iV;vfB3& zEB6e;OCG-MH)xs(6xJ)VRjYZ3d;h6vfOQqN)Xq0^sO4h9XlSQn<$W2yeoPB^lvuCu zi{oLAC5{xGooncl8z{iCqMBiYn0_D`=Nk(XlJnByl%4P1>eX^w%Yf0q$+v_tuU$oo zT9Zd7hZUb&Ypqyl>*z#NBH`^e=&H`HJHIUol0T^}e&-jp3us&?{pj)a*Mc<9@^GH~ zhfN&Ous$xc8Ia$aPvPkkYD=S?ZTtuRgKfv&CVp@inxvJ!27J*OdF)S~%9%{otXCH- zsy8xw7cTHImLNGfMO2WfG6a`a>Vu8OHjWR`6;3|6z!*xFy*)9UE`@%#uVYl4(<(JV zy-exCT50UfWUVsgxlAoQcrN7wuQRMhkdDUa(VT{``g+Gc>-Ma>_V8aCvrQD3icc8c zRqq|x0Yp~>?#zriX791ybGVffXmj)Yy6{&iFG`5*hW|UZYkmv9F|}ew5my?-20Hdl zZhZ`yD5~;AC!aeD!6Ltl6&iUYXa<3WTXMBRRQReXJqh1G3%#%PUO|_>LqpaQ(A63w z62A`qm4}4xP(T9_e-=1y2cCcdKa%M!R&t+bh_hw2Dm7KUWYt_HAI;FO-IUd=BC2~& zEok7D)4oHfyxKoRC036Klzu(zC7k~mxW_aFfpLDAP$hvlwzWoAUSslCruN;pymIsJ z3_@&;@q@+-+zUAx{Cj*e?$h{)Xz9D0q zy_gwCGO&6NV#yJH*$At9zZns~AhXw-NCWHkedhMvIf~Iu?#-h9`+^K3B{An}gzwNf zJ%2A!7OC{?RO54|n6`$Q!%Qv=e^Tx}}9+bHBdJ~m}Xu9f;g zYeZah#-`TfVpWZ%p8Y1GhI)q{X->NovM0lB85J%Y@lMJpX`Axg@_0+VD{4u(14H^! zV>B#mUbgy{B}>@kifk8M{6O~3&c}=2E#AjmKQgxJR{HIMr@@9(gnLInSWP3^q21FQ zx!(CH+-2Ayyb?p}Vt&kCY@#6Ne&fm55F@&q<|Zn&=2Vcv(KZ~?{g*7;w*PCr-e>J! z#&PBG?&_2GdC{=LzXC~UCIJGIH1jZbQ6r55G(2BkKP~N1r$w0yQo$;m4_y|TDNZ>U zu}X2!=j~7x-BfLpzNz9tAvN`E(@{G!UH81L`aN6M0}1ItTKg>nr-?$E%=iYMTcMgC zOUkYq?uy-mlrF3R^s^_c9F8ZtoN?Bl^Cel)NA zlqxV4IMQ<3>LAxOxS+Ml-0FSNb8&sM4gSV;G-SDf>;2g|L=wxy3r+I~X&U?XeVP07 zeE|(Rr%yZ4+c`^)n`EB9Og|baF*eThZ1j(#!{$Xp*Y90nCK0Jao4AVETCZf?n&r(Y ze?57kt4}9GY&6Bm?b-~nw@WdZxTqfzUcWE+`y=@|!%+sJ&faD&HTn!%{t8wWmJLk} z>*L3_CO#c(1>gOtW_)ubFv9b6VUw7CsLd5oyUsB}Y>#QGY>;(J@y@9yPU=09&laAM zaVk0MgiYHj7;tm$Q#_)yskkEgD6*~oo;W-2V5&zIew%ikxS-eRc@#REf^6zVzDaMh zgH6u*wyK4YNRKttrFM6^MpE#3{#!fWM>TGcG&GB44UKL51OQy_O^?PR>eup ze$z)}6~0_AQBUrY#TfS>A_NH;Xf`JKrUqd?k@@>5Cbvxr9(pe+QwmO%Er+C@nVJdFwXz7T}R+S)Xzn8$Nv>0NFtH z7zcv!ZTc9PqghbN-{Q;wO-}W+=5gO~@y!1-iA@+i=l)5@tDL(eTrxiN>tQGZxr;(; zR;ehQDn(D;G2)e-nkV7Y!n^!jfd>8TqxI;@ZsHLQw=JL<{rpDc)9csSvW z^`qHlQvfI0j@QP5^-2pYOAMRc|CfME6;G=#+!S%4>hK;6xS9g;<^QDux1F8fP)(RATey$kncpp5Tqe%BoGK=4*c-0m){~|VqV6_ z8-^6htmESe%7w!&3q$-+QUG3T4=uN#r3$ePNrk)~D6_v`3xb#A4U{uAWd+TBJD%rT zERE$#aZyQ$$Nc?70^BHayZ)W!`M(zezaHVi!xY|yK#~9JCJma{X2d`5L~OTs+;TO{ z`)_TOe*Wv{#Rw5(KcMM~jy=?{LCh6G4S#zF>`{;}H&lUM*!^r zc1BR)0{_YcIDko@nEnAMt2plW&HMuHCg2VM+h;of(81qFFKpWhhM=A^c2iNqE9=+6 z``$P*5;sz26EEDz%2rsV2HM|Jf^<5dV!?N%S!}8RU=rIb>*IyBv)dpjU=bBP1NW#v z8=eJG0d$6|TJQWm0Q}`UxFVpYz)oBY=mH#**@jChM(M3dodGB$G{Ml24L&qpU}`*!W75PTIY99kl;6z~@H7iU3)tN&_2(I^u6#1HE^g*jh8#n)&fSR?0%0 zL#ULu*oOUp9m8oOJ!@1Dn1*M-E+;gi1Kx!hsO!E52f&u&0gc7gkqtm0a{*@hlKv|N zS(EjIL_myMfMk4|(I9N?t^4xlQrsGN?|8w#717N4W-V?3nuiBQ3?87NJts}V!iFWi z!P%?~S8}{62fVQ^w_*9)E>phy&RTkUPyntMauAIb_1YB$RLA9!aR4j=;4WtA^1<%9 zdh{N6gu07^_};C zE`e~60I8$~W~gi+w*bh8MM!9nfrU<)5dIBZ+3++aVvSAX0&TcII9lGPUMF|)HL`^= zS#QL@mI{LF79i9;K0dBET31(B1yH>54qy;UjP8{g@Ix;EL3teCc=Npe+HNHXQ^FGx zQ~}JRdeSuP2cLVr>-SUOue=Q1xn-nUWA_v7F+%tPM6!##54^y8jF>{<9kl>(Xl-lj zk_=*yR7pAqq(R6I$N|LTri#k-yutSXMMSR5_-DEFxIFlnJa&Z_0@EZ{hZa6BC4YHv zm#@&>3%E765$Fp{Ludg30WCjW^RL1L0QrJuAHex!5Q8=?_z@Uc>xly&95{o(b>|1o zj#z+!;-gpXn)A~@Qo&@6fr+UP$oq{jG`hf_K|x8$4q|wKdkizA((=wq)6oXXJOMM4 zpFw^fX1l$$)jX$_X>E12>w!1i{{!M0Ra%?78+`6wb71G4$*&kU1v40Ertpz>X+7L~ zU10tJ#23P-0VFF!r{p$wpbvz_kqeNZhgt^I6}d;RyaU?>@TV?UOSwXH8i1{UaMGx9 zwuopqIwPf$gj0=`gWk3cG)&TLz&fg_sUaL>P-Q85M6Cy~_xbsybuUp{S5$qRk)%Udd95L!94l!35EM!-b{L{ehd?42Z7) zC5``q!1Hnp%6JeDCAc_dQFZ-LNLMIA6*x3OM)txEF;(O7fj}sU6Flq@3E|;BQBkYh zO8Gi}9P9)cNXi5y9KR*ZFPJP<8~Gh>LYSG0ymHQ{chw+LkPpU>8U#T9u^tcXL>sgoyD0iT1-(Jf2@uY+k$ zs0J4s2L}(QdXlzUl4K4E9=b;)B$wzfF7O}w)-0!`#}$~i3stWSMrJhldJ*3k9)Zpj z{#u#90yHRgU>|HyI^Z5m|1>g!0ABEr0PAINnu>fQDPl9EN?IcMdvnEMzwvl%tyeNL zyPv}NSD|5WjA?;WKNA*OF6auk!B~=?k&zK2Hs8!y=$<6;u;A30Gug;rfi{i@cW5d? zb?VWiyIAvJ$zytD%*XL!J%b$xQ_{`2x8+KK}!H-TRpU literal 0 HcmV?d00001 diff --git a/doc/LectureNotes/_build/jupyter_execute/week35_199_1.png b/doc/LectureNotes/_build/jupyter_execute/week35_199_1.png new file mode 100644 index 0000000000000000000000000000000000000000..5210533238f5f134dedd8a9fc7121c90bc8a78b5 GIT binary patch literal 41392 zcmd?RcU+X&wl-Ksx)rd+gk+^q$*2U$C@oNuv*aupBqs@K18pD`N)Ct7DTf3bL%;|hNWyWYI*s_uBl)x*Tu0;6c+de_d;)y~?K#ofZ$#oE!~ zDvtoqWiA#gSJ%5PBD}oz|9XJO(b2uN1hao9K&nQckgyCw3Z9%5$+@l*GbCI{DPB-y5oAs zOPo2(i&jQ9TH<{ze_TaD`%A7?8dwwtBljzDaXdb~-iJQO zoqHgJ{=~5VzKq0zVF~;NgarSj{Z>zp{tP(jJY*o1@sdma>njV7vuE4+srINZ^K2i! zaAW*+HH?k-)X7NadWuLS>k&g30sazTMsNA2ryyin`r}EYgAd0TQdRomtu0k3NvkD8{K= zN#Iy;gZHOL7hOsD6*jxu>o!(aA6Uc0UTkc*i*Js&m=%myx@4By4ZaAW7qV%5d`g$# zo?rWYnwJ!7nWXCDL%?Pi7d!V%(vN=&N>Iw&n{nK`li_#_Ne|=maC2{WN8sAEEZC~+ zlyGuq=5%YcEvYXbMlH9G=iuZlyF2kFVwR_Jiso!k%EE9(Sf$_6Sj~2aM{O#v@0@%~ zYpZ;_B6+a8)UZ}ZTiZx%Z(m=icWqA2t^9l#$kEY}*(HB?K?{d#e%0?dREj%ebg!td z&?xztccRk9i+GOU28Q*Ed{1ldKl&hamuKym!XLHwT~hpw&u1^vmmgk|Vqw9V^*Q^9 zF|BWGg!=4yl4`}7!fvE|$eImh63;REvE9F2;lERn)?*VF1lJ7Tt;Mst72_4~wM*z< zH}mh2v6{XOeIFOrz1i6MypR2;zy{t(amozxsWA*}n7G^-d?O{opgnkZIasnMPp8Cn zYdZR3dY|Wrno+VOyZ!X};D%?N(V4Zi0j5Q-MyFXqKKySJm~;3x%(lj_{Zg4<@8db- zDJvU1(-wPmDi^@lP?^N&#zG>9Nj%|BE|8e{%7VGxt#5w{3rAgth0Lqk0yBVsEf%d>)lf}vvlFC7H&(E)YkUo~3ks+gP;P%|KD5k2aN<%{fTiBo5o2#8$RHRxl>K?yX z_rq^%*AFR6)y9ymY>4O5c%4y{g>^HYO>m5nd=mu2JmtILy020AFH=;_Ci$#2EBmQY z2TO-Z?!6jusL<8Za|6keE=q1a!Z!0!if?~T1)b;*5gNeFLR*B`r^VKyZt zCF*z$U0o4k1zF!;Ukb9&i5k6W{@^xOK|#TFLTl4)rOfQ^?)`2a$BL59nuW#Jh`9M^?^& zjTPk!B@64nWQPA`_7WzkFmif9*oJUQRxe9$y{PAF8!%i)AlP;}d1|5xKa)1gNlme+ zguAx1_~8YOOSHIKKKQBiYtwSNwlF9CIKAL0Aa<_b`VN2CzZVA8~|xK8l`k3SJp!<5N@v;GyF(^2HM)Tj8U z4!u!jw4T$vMi=ky!;_gkz1pJj+3oTQ6-MgxIXG!P#Rx0?iKexO@OYDwT>;t0{rANF z-|#m7+Ty>??*G4ofSdg4sUI(B-(BTKD)nBs8FeKp+Bi5QEpIO_I*j`5EZErCsDb@j ztl2c&+TBy_uio1xZLeiY<{#yGB}M8l?9Wh)KNA_eE+*eoL(|T*$FILWaO~;5?*m0Ot7hVC zWen-m(9sd5 zsbZVM%kxB-&<@r560mbZbz314-zSc>@;!~P6|@`ptI&7Bmc9A}SvK!1Nq>6i>BVES z%gfz+Ry8#>ZS3tCU3`6fc4BNt9V%|!y45o@lym?7zC>XcnVUCnZjA#)ne2sya(?3`0d&lpc^R+fr|NRZ0=?5G5unqiEwB8EQ!aYIO*vy)Va>|DA zxp0OeY){P821CX<_}Z1OIB#mirTkObzxl46p!|B#-+qz1^~Y?*il^B8!UE&wc7>7X zJ>N?wyI;Q!z|JlG*jsXIpc48#zPB)5>Nqa3yD+|&zyE%~-U{yz=a#a#jFj%~2kib5 zH1}%72=Y>KFC5K-?~W8!i&Z2P%sE=keZ3aE=h~bw!>bfL?Um>(!q~D}HSMZY_s+ax z);SLTqN#?LTqt)wRLB_fi|>Ki8$VwEuGTALM>S?xsI6w2zq#x$uXgFAn&H?0{f2kV zq(jx|BZ1G7lX;_C*>K*Qgz@~kZ%^vNvD|v)3I+xS+q3?Ami7ZLO?pnQtsW24n zSe=Dd>zdduUF2xe@U#m2MLCSEHO}2dC#0YHUqO-j9KD3mSek5;J=ItP@tvrM2wdWX zh*|j1^Wg*E%ywKHo%oOMtEovxgB#}O=2YF>%HXW0zIv9LH{(_NxeTjs`_&o2$~ky> zlbvh2E{!J;Pd#be@_GB}Gkt6)AEl0yd{N4K*T&$XKlPfe9ba*`7M~1b7Z$isS#x^? zf2!hS$c3Rs(aC>5*8fi-iA>_E`1i_?kPx_3HgO zK!jfuXd8On+#K~tE~wei)zsFO$2(L`pWdAjs_W9O+ty6H=5#}HcTRb|@W*yx)z^3Q znKhMkWObQs?aQ7~`;=8^#h>G|SSbr*D=I2_fB*V^8Um%2DV%}V^z)%tPN@ZiMG=UF zWtn|7j)^S?I8=X?@e*S)@Llh%A{7v1hJ5-7W9fzdyCh^O*47LC4W2)LzWsexval0u zg5Ve%nvO+#kg1xHI(YHbB=xA%dqy(}EhD4C0~FLxy$hg! zUBU~Q3~L2X-^$M1V+JDHK4Bi#{Szf31Kp{{*K#;{64;0_-&R2a_{KgL2wGyeT8m3p zjc4UP8%h*vEE#$&eh_ctr^?q?DX=Y!;mvI5d9<-_fz}4r$mspI0}ce zd!NwM`^~0YJtAwyzM~6b79vZnv6#zVG<@L8m*S%~nrc(Ht$uxxOpV%m(GMnK+?j>r zR|?@soR6YiX@!<;Wasi?qlrDewzKU`{jM=Vef%0Y{08Ha*0`~!Of3(@YE%#@Ne%t^ z?$eOh@>8s}qICM>mC>skWh9QH{JAfroaBdmpQ%D<8ZJhDaA15Szus5_f>wOGByhNIB)KKZ249x0LeF}TjJ-Rtjaz<2%@^{O7LGHyAuyJF;fs62CJveF&y(C9l?hNZJ6QxI3 z>!q(eI#Cw3;vmdbB+T;1ubG{%hwW^7=v3*^Cw-4cKK`Ty<^Eqvuo0?)le4!zo^%SAy2;qN&vO#wydw57 zC|HcsfxSPK+%L$4M|X0TRmQpK@o^rn))P5=GV~oeoHsuYLm9tg6d7b?zx;ey`(t@U zjEBn1YSydQ`L{>9AC>PTw89abMaWl->epB44Vm6-IQcu#1A1*(+Mtvz>C`b zX9vPx>pZYH^B)#iLybiQCw|3PG_yu^>{Fsq<8$n^>p`7!G9H97q0-czk6 zbQ`Cy;sUpLG@sAlZZU8}j&Tq*+H;Mec z%QtgVdk=fB+Q%zIAN8_|cs+G2k*{ZzSHP41Q+#|*uVr6`jpMX)Tn=|Xb>0ega-OD|CWC%iW-EEiD7{MXGw?q(Urpb>U7VRUBR90dCn8{J9b8LaD45( z03#}pjgN-5zg*1$lh}-u%HEsq(O2!gm@+x!tMO@*`3Z9{)!13I8Z}vEwl{NMa&A-_ zP{-%uLMIFc!^)iVXfYU1OY&0QPDX`Ng&g6HdA>z#3#Ou2Qcrw%BRIZWgCa?z1qy@IYV4`_0Wr_;sl@b4TSh5 z;XVr&aMUcLNEz9WKYHh8`ZWSXUG(p4g zOBqa+d#PDH>3xdSrHsCkhh!ml)1qzB$jWpq@hY)}ZM`<~)s>p+UOxID@L4hJ2$T-8kZ+h6WlJko{>2eL`r&bjgP zK(}{~lW)2;QX9FdN&83EGpjbm9;JGCeI@nPV8KvP-yk>0sg3U;8LCkoJU{>C*IV69 zbf4|YU6r!2tnpCL z!_B}aoOT6o4I7BL|2sJakmL%G=^GtRGSXUa8U`<9yMpj*UZPi<Xwi7PBy*DiwA^@D4kM`@CTVQFbP)wL%H(RfygFoH2lHE27 zSGiP0U6B9NX#0PxVzB%`1F`Mw0+W{7RK&0~2VF@|ZzuYiyv8mmmKWgVz`b5=zxRhV zZ4MpXx`SC2+;0Sh@ZA(W=EmWm6K9~Am6Jl%7_Oo&Qr!_x)dvCI&#zdI} z9<6fIt?@2%sG7SVAS9&h>FeQ9;ZV2hE+8O~ot=%_9P=sszSrewGqzc~X+77Sp2}qO z{nHr)NQ9q&P{B~rSqtylg+Bu08}(W|I_}s9!pCHe9unIaF!P?z&MbABl!3&AloHI; z-7YkqXPNA)kA7DW(979Q4V(Yvz2=v>mRmscJ}92jOD<#a`N&NpoEj?@M_|4?97^9 z=SSC}TC9YbFvCoi&d!OBNMTPRXai z{%p`W;yGbcT-H~{p?FQzzZfYxvr>n7i62BAexK!|LWnRi+~RWlM}5zQ*S~+JzjkJu z;sSoY*2H$1`XCJ}#?h#C;j3rQ@UZCO`egpjhNsw(K$_V!CJ|S;-QC^o55W>?2v_(3 zSkKyW!?E0o3T^+bXn)~pT}7gbHM{JLLUd=erN^&w>agCIo6~P+qHUuzb90=(&?Nl> ze|#&gi+VrFuuWtmLd@-he>UsZGUs}!lN3c1-lZGQuJJC^Qwq*j!4^opRlC_-+3!V2 z$XKa%c>ZiknNY4@Z%gq{SuR3joeIuyImmM2u4m7TWr~WNmzSC20BM~AfHg0PlSiN+ z_VvPa{P_2b8!6#Oj)GN}kLKz9`0=mWjk3bIK0U|8l`Ic2hwQ>I0dMu`yD=+UD?R;Z zRJa6pg$PYdu!mx=ersHJ&X&deA``><<%aP6^?&Za|ME@50PLbc?#n@@BR5Y{-pm|L z!k*RA@3K<3Z+v@VdCfLK!AFzLFj0b}?P6QFGCI3=cFJA&AQgsJP8Y?@y08wdLThBcsg~)8pBoy4{>KJEzcXM3M-`>D4QR3>QU~8+!>f*~k z41-LX9_u}(63^h2=#d$@h3+9>*P;%2Pxzip)ijRxy>FX1mPgt7hw70X< z5M%1!8QYWq*w2W5-HYI{q;>OVW9bbc%v9BcVlUmyvrFT)JJ!$6nt58ThB^q|K7f#i z?T+RJchWYgu)pD$WL|Oc6{uIvfjLrBR17Jon&)UVz3k@ZmYtO)2Y^_vcA=J;S*inJ zL2%Un$1Vt@YN>X|b)l?3^r@%+#{bOgx?Q1^4wKlO3$H-yJ7^trn`?t zdqL!$OjMeez)gvEfD5Stlv!MG%}SSrFa}acT@7tJ58<=+=5GlXvtC&YqQE}} zhg|C)?hGQVxT?EOfeK*diK@C&5k!+q;D9|?$PU=}F!H05#a!}*RE0}-gjTJuDoUS% zw2Cor^)QAd6QK!{B3%-HmH3{6phc^VvxJb4r-JfvmW$+{(v7v>oBr-hj`o|WHPamn z;D?yXhpv-rdNk8eFxCC9l}QOHG`T5|EPsL*|9gG#-R*Nf^v zq|0`b3CF;B7$e1lcKFWI-m27R?hDPSnM%8Y3j_`7{8b4gSr$vQE;Gu)rP{kr>Fv+W zlUryCvB-gi%cGc46{cdenu~b5y{JLU^mTFmD97mva>m(q5QSRL41znGiqi%)16j`< zZ&rV{gdetmCm?w%CP1*xcYr*|K)YBOWrJ}d#DKyGIHNrt`nGg-KnK@-GjB;Lw&l}= z+Zf0gkao|0xA z+ui%~!9*508rDGB3>F6ou0ik#5`kW4JWXp)ZI&v)LU0t#t(^Sm0Aa?EE zQ(8i7=N}WSjU5{YPgVTPH?vXH|9LI;y4%{pDc2bArfrMP&Nm=BQ3_6x<0=@t|B{>? zoJ4oObW+8%)Mu+&&1+N%wnLR+l4WX@xOtX*0tmaqEQrP29v^-6hxN?WY&=R_rjX#L zUKP~-6$(jiIGp(VKiktD)5yTS$nt4&5)A@Gq4!MgtJn4}0+s16u3i2#3b@HNni2%{ zhI4=r;h~s24)J1P>Yzy=n~Zok@-mn(ykUFS1ReSB%jK=hB97!QYRF$0in_`~v9)J& zFbHeYU9~m0bRo~Fi-t2{CALLh8M2RtqqOvXSj^Q*MpZcAda=kJx}jR*RILY*=Yq!k zY7<`?phES=J>>io!E7wD3liR1UAOf$)4hHsstMDsF&x}0a(EE}`Ah^sSW=;MNq79d z;%}V|GJ$Q`dscZ}q|e)j34e}O_wet~6DA>E-vSeYE>!UexKPd?YG-($$b0Hcm4JU# zCmhC@p3v`xY?}M{UaE@LaJKzV(1^ic4}DCyG*>HKSuOoss;QObD&+Bxe>Wp1*Z4=E zFTzv5?*u@OGwmL$d$|s-)AH#c*Rt_ORQ{fBJFvU!C>!dS)7Gn_Q zYexNqr^u#E?gIItL`Ytuue6IXl0$zbbbiN?FBc*E^7S{)u>5Nr@-*~$jN*#OO2m^7 ziPABrkFNsY#pw24W3dL-G58JGAu`I+4CzGxL(#6(c~7G@hZ*Zul2gt|H0`>?*gKT^ z4I&Um_%CoaX8FEXzzn~7v*>)68W3V^Q3pL71NrBCV(s@#42m8f6&KWg=yH~NjBGl6 z(Bu@96iYH0v6(f(y^lWnR_BkC)3svsRV(E1B6nZN(!BrE;=y2V;FYIuR{|FI!hfC~ zBy>_y!(K1dom#sAOVOlShznVpb`sVw(z)~q>61CCqMKLdQ;1-3wsbiVVn+%T_FY7B zmnuiUK21+4Q@Z3?fz5vOG4b+gm=e=ORv}Z-V@ax94%xNEQUVrR?$Hl%x_q|RJU2NV zbjW9y@dU=uv7;xpUF`<9Rhf{nKP5|~>HrxG$v_k6v@k#Y9AajGkGYd%oj|Sb5*&I; z^qm)4l^9x8HaT4*aU9XmGc@)PzNWky+~>t?feh(cgoEhV4EtroS{84W1j$sBZ<-k7 zSx_kGWPUmyG6~p+ZIo8hsxFW?Rs@MRrpUw6YG~+U?Upn@NW>PlU4ce zWS5H>xjhd&VR$C;B&7`e0>W-FcJAx=oLejCUh~oRHg|wu|2k*@<>44~;mlL=rHO5w zW!Z86!T$KX#_9sdZ)KUpS<}y=XHl_NH+h4B)LlgMMM`-Ep)17-P@G9JgNr!s9#E_AURae3T}e{UrZ@nV-F>F z*sDW{;z9jh%s=%*9TbU0er>B^$fH_M&D2+@xS=}bqi+J)XWd33rWrowijsak^|bl! zdxX~O__kbj{JA;625TOg{G1)Yg8;4~3rDDH8z@}u5o3;UE%W=_ zJ12;3@dFy%oFNSC?p4ZBKO>xLM*p?!-|xq({-6dE-ziq+u0)Tq*qoJpuiY)Z4~RJD zC*Vc|+tRnI3wvT@gxg{^J?sEcToEn*UKx9yu1rn)tH8|Lkh@bJ$ zl~7^_?^s{o1zb*kKI8g5P0i=P9DA=nJ~k#XqYDLMJRZu~;|M2N@)^(FtXcBihB|L- zDbNasEoUsb{^1o~76(P+y{%Dzf3X^W$AK1aLg!2=p3%xr`A<%7<(PE=vV7kLd$zK7 z*oyy1=R+JEyS~ui)LiuHDAk=~DtE;j{yj(DgdEv}<+t!>zjQiI|C8K1*13P%R=I@5 zA+*PJs_FP{gXDKQ{On% zt*neVSA8NDTb&sY%h3;b)-ldTwx3avH;uvN@bWaYi!(VS-l48-pl;h zb}#RRwSSG>>wjM-%H=Eij@r1Se91TV@BeKB*=tnEypG+hQ{{U-Oi6-cU0o@{E;CQX#^FOyP|)T6{+^!C zTeHc`>-yIiw3L;@a&mLmBa^@X{_x?$?MTV3$cQkChu48_BQ5!3t8;yl`NwTYr{n%J z`C-;^b@44tJd}B_P)%0<*aJ=rupQ{V6|_f+&2^$aU1rOyNfG>{cME6OXGtHs=jM#lu-FLwOw{6j8*}OY8^pJ0E0ndkEqESz(UO} zsJc~j8&Oy|I5_bAq~7`7++INUh8+lso8$g<-~H+q2}=?NJ_}_z1xnRlxd2&P7pOKY zJaXiS%mWdO0`>ws?Ne;Nc;Wl(sXPTHTPR{eFtT#$Rhb=6rqI;miNtngcWRE4kD4cM zX&wU%Sr;<>6W`9Ccr7-3+;zTq5Ghiq}ZB+2B!OUEPq!}8>kK!%x=~1 z09QDQIM)MSFT0h8pkTD!9lbVWTgX<)k9n=PyBPA;3W^&X8ZooQm2?BvfH|e+`?3pP zWP&uI|5?Y^THwpMwhQ!U0e468Tm7*$a66xe$M?#CmzRmooOx&9y@o-%6(t5MFXk{e zo$|59osHP$GMX@dJ~k+&w*F<+jx@)r*8&d^Koc5D1-0Q$_xyvR|5%m$k(!gkfnaU# z@tv_uJ%`Gh!xfIoT8Wr&;)b9{wg*ez{zCOLTwKtEFwi#XoCU!v-t{S}0?GLh$9nI9 zh?%=TKsfKRSO;cR^ywqPGFpeTBYN242r9Dl_)6Gq~f$& z$zkhbc0~b4P~xkdVyVn~%fTXU^Ur`-?TYAZV02#D*wCo6ApQ~QiP85LWS~@eZ%P@j z%a57DOI^xYpb%xlE!~L|4&sWLCdw0(NY}_Y-bTjBYRTpM$C@U;e%@X3uR|<;8L$nE zn^lL7p8ovp>m)Jz7{+-l^kL!=*-tq^Fz*}ijX^&C9d0Q z-MmlMonIBKQ$BY3@42|Sx<1`0+TGbCu`+Kpl|J5&!9w}g%E+YxN;GEt!PYj5dNMUY zCE1Q!`*RaeZJCZEqs10a${j|5^ImYde|KKHPEB53eud*;0K*1h^ikI$kcc!@6D%RN z5dz&3aV^$`$syY%Of+3@q%31054PER%Jx}A_Z1EZWGYS$_qD=wnzkgJcQ3I$CUDt&ph8$v$WE;#d|DpnaN?Zf0zL5W>NVXpu$`eYLF94Tb1Fq^|y$(powAY2*RG@aZg|qLvhRURFNBeJ`X^*`si!S8)N-Hmk_s0rvFZ3(O z^Hly0JUBI{%j&HArg(y_FZ~ueFDGC4rfa~$d!R7}olFzT?!E9KXX-2unUUZJdMOlq(d9q0Idi zjH%?#my+$=x@}J1ZDMj?SE?)`_l`QZawCed>#%*r9AX3)lMV(XeDHo(2pG6SbhdDB zAY3iVqPv$onc0y0hyo=C5+@=w;<{1q5s}}m@sze49!QTeGH>=_W@kS%GvOW`R|qz{ z#oN_%{pcOGC=V#Yx2nPRx<5P{>jjeU9H8d-G-$d|f?A%sj*h9~U`L{;Ciq#hdK|o= zTINa#q?LXkzffLjNtj2}0pGnpJJx>Ea;n?GcgRX^tD;6GAOQR4K-Uim887Ud-VLMN5bfXfQ=A<14fBR*Sidxn4}!M7$D00zx|m7nmuI)ifLR2 z=GFiEd;gvXhmN|!twQAQjAqB)ea1PVNsGWR(*Rad^?{y5E_UAo4HV*dA9s^teYUP6I*)x*cU12?AV+ANkw6L&P@s=&b@l#57O8&T~ zcI04y-Ko&GuGRU_5eLw$+=F|C@@3OoHsYlIE~0PMUDZJ3Dlm$dJs~d7g5Y+r45}T% zLqnOjN7QgBdZ*aza)PFA^R*&EBuhJJkmJa!%Y$z4kk?LzO_0fe{_*0*2Re;I)dWRZ zG6XslqqfZC4#|}LShWr#Bja|Pr9^5})M?0YvtGXB(^=mqr6n?a21rwK8P<2doWR>m zsQ8QY4Q0NvXr77|fx5B7t$NYZPv&ZO7Ku>07uShmYv5a}Kjx=G77Yxw``-UMg?iV% zj||jhK(I@2prn@@||>1SVV&pxMx}3mrN$UmURU4g3OicfQ@eOb)~tVdwsk zyAn~e)YmY7eK4x5okINlRt-T^L)Bg`#q$RO@?5I(m4R3D;$AdFdtZ1cbWj|Nom*xn z$CT7?!kr1isTQqKAv;C$^ET`2U+LX3F^I}_swA6E&D6x;yeBiNgM^=kXJRU_0>VQ{Zd-AV;c7Enkg${M3LM3V^maY^#B{RA+12| z%`ksP3{=EUAl<_k%&dP_K>^QhYu)!J5MJ%c-IUeY;6k;sx;Vo90||pj-*HN~W?wI?P8!M8^t! zrwOo~*3DYz)NAF=;q7zus3=BoEC1cG`W@)Y>{VA5Pd6aAv(ts#!b4s|M^C?wI@Ol^ zf9ymWVln0iz%VG#jY)sBvQ2(b^eQ2g-JS%YFy6SkUKCCk#c;6Dev7<{i9h+}kcz#WCvk6bg|$D)pC zkGPy%E|vTJ7LJ#je$6nkx}K=)6Y4&<+-!&v3&FUx>Jqf6?NrHaR^N@1WX2O!Y|Z?N zWOsE@;_I)zJHz8j=(0AOeti|1KnI4AY=<+s=)exgAe%E_151NI6JnNKQNs%8fMFE( zcGbPPPfF0*npx!%4ba`Pt5A9JIyGR|b}tWO0%|TWRzpwg<0s=@2By~5U<|7=G*4p8 zBc(5%NU?-ltPrW#%jYuFzim$2Jy;tKmk^=DQXO%w%jI11)WMU9^!$pAlV7b*9l{L0 zaOBJDEAhj1e-eRnX#>PVfKaSLg9@Mnk4kPr+cHpLqMi+yRPiOlu&Y5HU6u$d-ViQy zsa}G<#Z#wGC#}ZazklEQ)IrSP`O_7yFVkhgf+_YIM*?h!xaugnvg4ooINH;LWxqWA zT_1AYQa}pkG!J2PjK_<3wxm^|^3bcDxDy>El|$+HvTvlX@Gka31t~E)1X9Z>So&UH zMeXwz5vaCRugJt>txXb@sRcD3Dsnuo;o!NO>%o^dX}{Z63$&%fd0!6)oTOcrEv*wS zs`YX5Mb0ntY|!N^^S+++SOJHiSs=82oj$34Kg%`AuhhQR|b zHYc6+@{4Z;&jkSJueOHoamW<$5z$J2hpvE@;xyou^+uh6+6HMc*fwJm&;?AhW}r3;(Q3(h0BH;Aoa|^B_`f|nL&j;U5T5;WZ>C+X z_CDP4M^zEyI|y>d1vRvN*SYB|?B#WHTjxq~2jP7mSo$V`>Z=C>u)hSQigYCnXxNjb zia9|`Jr=AxU<_5SSOj!quX$G~JGG+Lg%#66sFqAZ^_#09T*Q0-{Ngck?Oqrq*KGt)Mz6(IF_uxJ8P%1pqN7*m_f{{1?ram6o3E$15)%gw zE`NN)=a>+`);a~bidGk9Wsbab?8cVoD>rzZ^@^eE(n zKl8TGTqz_a=vcFKbzmDv8#8 z`+w-J|GRI{eppabOUq{BO(1Khfpaq(q_lum^ao39g6rB3y;97x4 z4d=ShK^98}N0K@et1gYFgNlJEh`JjSw0|Niv~-Pw!PiGWi4KYaD_#~HYgOptuC~rZ z<>a>(!Wp@B;ak$~aYG6y0igB&xiRpa{*MOcJ(V9&esF|jSw{bK&ah z)u;xO(CrhnQ9Qo?Gy+yfHb@h$^ClXcpS@NVFRgx0F?i}vMSr3|uyqq3m2hGZ7pHLi ztHdSox=8c!5@C%x3E5f804USgqpQuqB6;%B#3xeW|O z!~Omfm2N+tW@0N}j4909=RK1X%`XSv>65z$>DKij$$=hv=Fij7Mty%%n|$ZhljEH8 zq0geU)VL)%>|k_gFZ=5VGn=P>>?5b)|v}0j}Av(SQL#eC?KYekLLp! zC6*@>3c0u~@2lL5u!*F9Hj#t)fE(T?EXRTxCL(@BrKwy>tFA5*`m*l*e$B3tSa#B*RzYk;XpA3_f$p6UrzxNihSf^fVqMqv(qLe;zkoCyHH%DYU#2Y>O z>y>cbU*^xVGewUx)47D0G@c512MoDW)XM%XFaK#ROs{A=ofNfNIg2Zcp7L?0eMC8gV>Lp)qvtvV8fSv%oFR!WLV+d3fD-g{fKvf^i`gL{d@R0vRSo?Fz$;#MZHk9?GYKBi}@n1tW~@u{F8k5vy{W{s4U_!t|OB9J8WXeB~L!& zY*okbVn1~n@854MNy~8@sCtzGf({G}Om$~iB9Vw=H9lqF^Dp-c0p~YA-@Zq9ydimb zVBivv!w5^YdgFT=6|%l#(7uS!qm!eD0`#3<)EG@z=^rx8yrYTr7!u+mMo}ftjRWflh$p(LZik=`-;(w zouxV>Xw&?UR>q4NO{iU(44821mdYWz9k1WlqX@w5P7RZ=na$tdL_?uRlREl@^yIxb z^VudW)Cz%bvcXe_U{mgvHgfVP3bi0CG_3y5Nq5j@-3o|g^4?rBY9&TcWUkR}PC@m` zE&3%IDZ$T-zhtM1vPgHo*)|0PFN1rW)IBnPp3#xizc=HMZ=hr5frIKS+wjARhKUc1 z9wUf*XV&(9o4&4<(MoVunU4O|}RkH{+iqr@K4b3q8A6y7ZJ zuikW%h@EM>s1@80ZXGv&>~}V{*%)>r|J&;v%T{?$s=!Q8XWGJ{s z0uSa|u;)nkgu1k)2l&k5o;OvdUL(|qEz&jSh)DD1jIf`C1|T&Yx^WqT+V%nts8+ME z0TZKj2J0>~?ovvoF*QkmP_G38pADfH@RDULQRC@Oa`P z!!s5& zJOQ;Z1mqzmjMH0Sehaw>YDyQ}u17eM8sg7PT8U5g8}o5gwDyeHz;_O`Ne;C@ql@PR zArU}G#tgwq8*-4lwAahCIZHPrr~$H-D1N;R$f4x1>j^lFXFR~{V4oq2*rxG$vhR)x zq%9Eq+Y+amD5Td}aob}ZH6(fzfhmNG^w;47~_RuQg!90B%7$JBR z@=2F}vDF4@b=$0}S5ZHN%)@#5Di<2Ub)hY|TnI>maJYy;bEznMsFg5`#eqQpCdf;; zJ$g@oWa9%xE5utO_ZmvU9jSp79YR?Cx;{$};eZ7|Z^IFfkL4^J8_Qf{zmhzDrgNov z0nw_A>yDmbd$0)#3~(-aloAMpr^NjEUgYmUlP#6YEtpI0SlRTU9G+HfE{7u2+eC!% z!dDFkhYRlV7eJH*eR2?EhYRvRcZlDDN+tsO!UthG=Qs-;Z)>Z#ErND$6R;dP_jkV! zlqOXh0ZvxrIf8g~O{o1yc)?SzPRW%Lx*}bhi)}zvx?7+i1}s(}UbuZTMVXB4aP|uI{&-|@~b|hYvf1xs|i~j(w0#5 zCEwpzG)`ZXFC!db4oAD0kc;tt&Y5VGw{$V8{N0k-B!`Bw^^Ds(m1_y{G2eY47*e^M zsEhGl_>CMC9(f=XkluA z<`oj8V{Y(+%?R}xl$9WOE*7Y}EVF;GUaqNzx?ZWDKzz==rL?x$-WOG-I{0$N&o2?> z*Pkm&~70NkhLCpgf@*&i1TyMmuK@&Hk7zMO} z-iE6Oh5be_zFygK&k*j#6?tMY0NH)M3#fi5bqB6|(^+^EOT5QLK~2J^8!%2sf1^C7 zg`9|Ul``;W$f^H3P@tx>&?98S@|!9^g+FU`ER)YpdLwKYYYmhybZR71JEKDu-Yi9j1f*rz4%wndjcDd#A6&M%%>S5p9>g6QJ+NOoC#_OiUce- z{Dj|C{-GLE!)#~(1|+mezwwZRKpXq>wj5%kt| zl^bTqTtJc`)%bnO17wGz#bfS8<0;sKc{LP`ptG;te%D4^l&p+t;&ASHo1Z@LueNIS zwak6AI2OZWRI8VJ`WX%n<=J+0tL6Nw4;%{bt=fJt|T=@}59Y@q&aFfAeeu}&M`Q>?_7TKXvt zM2nNkfsRSPRd3U{t?gchbBD2!t=9A1rv$uBc5u7y9=TdPmnsNYjLxOMtNQ2-9>I}) zOk`2(kU}O65WZUbKKn_u7Tk<*Hy$I++%x6LJ)sXR`DveKy(Sf-pTFg!JoNB5G}Wie z@h3eKtZ@kDvANsYUTxF{{cizz>!id?U>a)oHIa=;xbKX{nH;FXUKFJ$voH!C^Ev*0 zeV<&d9Dl)GY}B)Ih6^t3Cdd5x53q1TH&ZF;uBm$2=5L1sp7BviM<25<-WcxJBVWKZ zbXw2-R=2I800`zzQ@cLHMk+_Y>V*t7@dG+{k%m~X;HYDtg#?l?q!S_Rh@ZJKM3sgw ze4T&v^aVk!;p%u)K7R+S*l;&PNpCF!-*cxt6LpEN(O6W;bGs`^f{mY=2Qk0?ByGY| zP()ZL)+}=t27e$|cJy>qE~I8-^~+6TN1*jk5iW{OdMjGKax#%UAn$I* z#lOVuat;r)z-wkymy8@Fvr%uraSUb-oDmCW^(#^-7Y-$wRs7JJ9*|JxZV|E~MqTDX zvG%TrhaALkgMT)!hCYPx+N7Ai?W8C3NZ;%YE7ak=63^d~CxbAe$+M7ABz3I*<-IMQ zpDfvc1P=?d8m#qZM2XGP2Dv_g80t-)ytVGP@UB~jN~TgKw$4zGW}b)SMAq=mo>CS>tz!~M#+1W9uwi2-1#vZU6$;&l3Bpk>Pf zdMpr2ydkQCz4z0$DKr!M)lUC`T!}ICss=ng71CJdWu;!Wex^8^F5E%l`=S><&8W`( z*6!X*gw`3eqNmD$L%IF^I8d(3yj3gV*PijuS6lfjs^li*^gHd%f?Y6Di|DLw*Nw#j zLd6Is+!_jG1|{wVX&{U};FVrY?n;ECn1JkW)1g4axcP)r6FQMA=~yb>Vh=rxz!~{Z#|>`x zbsqaXtEcpNG}i{2reu6aNKP%6>*1v#;Z)!Zu7pa`_AYId;_wA_=IR2*7vMc7z#0WR zdh*e`i|fL`vVkfDl-qoFqJzt9Ot!MZepX%Oqb$;M>;O7#)NsL^wOmcof=kpJHJfYV zkc}=N`_FRf{BaPU^YvJ)^=yg~)wc##=6E|#2zVkPfG~gd$|6MJYTe2w@4n#uXH6&a zOu+#{nW=2YDjFRCU+RDP^-&AH@Y=%<6cWq(3_K?S5$dv*xOC6*g2SQLlmoz3T`=&2 zxHsQG)eJ(W3-B^D0iOJ4*#E1wuYjtm?bh9bib0rkC?be-cNj=WNlJ?#A>9ooAt@*w zN;lG70@5HYARwKa&Q0C9@H_v1&KT$3G0wP$@rA)=t@WYo_Qk()& zn3|@>>Z7fkMV;dMnQrzE}-714EIRhhoXS{F1`Jf$Cu zX~9wso1rHx-W(d|K#aJ?@Bf?AsTF)8j+Go`-i;%&dk-nK$L-eBZRQ5LNsk>aI~ZcN zQ8a@Qv9Ij$D%Cv38ep5~lh!%f^zJvM34_ly%{~W+DS#HE)gIMnad7PBlfnW7XE*i= zT=%Tapj)x_+yi;JQ)0m`5w zM_b_b@0UAsL&`idj^|#COmTAxQ#`K^TR(G$!mj7&V z^iSxfZs``R+zED)+&^`oGG3zNOgRG#^tt^myVbYp0ij~CSi*Cu9JS)ny7>M+ zP(=?tC+4~mP9%;bXyPs07B%iNGsmiAK_60;@Uei7w-q0GGKh6;ZJoL1Yh}PN${A6m zs}>sTH2;leUWlkaEr(}s%-8egnKzfuVEJskhmOyGsbNLCqm$y>LAi_d%7e>apb{*{hgFhO~UKWzM@)>+AQqeJVd5dYDNx;0_VHC{4EbW#CxAj~kF@8)j zYNH>he{32`v+|S0Zhs&9!=rgB#~vkZf&VFlweWEk=*-y&y$sQIf^rX+fip&Ft)0*9 zFMPGA={DIkuMPB*upZq7(DtF92e#6Gw1=9jL7&`Ocz0fcF(R)OgzMr zkgC{|>ktHmupROUmO+uIBp#0<5as>b!t3zh!CUCg-CD@V2{^s-k5DKAMV&O0o^%?Q zma0J=_%jXCZyKEVq#?%sMMGta4@ z2*3jnr4~Ro7De2xM9Gf+V39PFtH@rdV}%xqf*r>&YDq_q8S6-O;T-Ar+NuifBv=sV z{#SV~XeL)uRZa1tbd~_Huxuec1JreT`}&gN3|%ygXo9w`>?|TB zd~hlm2$q=e#BI%2M+s<~RqLN~?vUeWB)nb!3?@holdIW4|^|K zHhvv#Lun;3?~pF){|S*z76Emacg7hN!9Wv$3Zlh$SRc0#^ zi%2j-U{kR5{b%w^)y&x2VIhYeuT6`dyO)j*hldZY?*{Hb!j_9r4110CpoyTDp86Y+YEv%*hBGbgr5}e%D z?}!sdM9o?K#=UOVu})crV-Cbs?sQK6{HW;Wj0y7+7v7$k%!=FJ4kXzg1uCwE-aa2d zdn!3gW~y-_@!iycq+v>s7`?h?!;1@N(~+oBcT`jwNDyM$a7Z_EL|h-Rn2MwgeZZWGR7ap z7gai;F$kCo&{^HT91Jg%6OgQ7yB(auy)6~V?!J{s=zRe~BDAw(?TFEzY=7Lu~5$tY4ReUhDppIvS)PoRg;^IcwRMIg?kEbE;|7V zsz^gRU^A@V+b6yYs$_Ivwj_GQKT;dFu?-RSsm^N+)y!;)jWq{nRFfHV%7Yah#hee% zbAVeOJM63=gnjemGPp=?--L(g66;SLGqrXH>IgGSI?L%*Vtp*hbX=+!+H{V#rpbMT zifBYjy<3?rDw>0~tLk6f@g}1}oy&PZ_(Fh;Y1}$_R^qPFNiDF9;6!L2>+5E_ky0mb zCidE%N;u)^??~IIf6?rl^JtHqPPd_M zv_eMk>yNaBC`dSgtWVz?Xv#blbi2YlCHrM$7F0d~vKBh%l|>7TzHm?jX_<;sZ52Y| zS1sPn4q*QB&ryT*XzRHJhj!(<=qr$p2(8Bqh#UNZ9E}KB>OPK3-5?Yw+1+yH1pqrY z$bdp9e4P9FrKUm}tOrfxvUXpkE8zbThE@cS6UgAk9lh_&k_9)QZqc|XXxkp5>^6|j&=#|RZ zcz(nf^x0s^KkYa46P~oTR{&c{LMjSms&A0@eGJuppO9-@9JXTj(mYGflNfV05BiYB zkM|Xc=A%SLa#Tl+2C9z_UdhIh^ipY+O5leyzXGBSpa2qS;DI_VOg=(OZ6Y;&!idFn zpC8u)q(vOdwJHYBTKlxl|7@qy&Q_Z~gE@LEzICu2f^gA}_kUf0GOv9Y4yuX0qUUsw zLZ_M86VT8BqTgQ@DasGZhmVM}M6rZ)nWK!e z6MrTMh`4=Z)=*0*c`=_xgg@^?wW3IKo{Sd@WsP8iQWf7S#Q^mMYf{fIXo2#;GX+gq zFY_{kh@;(>2G~v;vD|LcBKE0>c!Mzrl!GG-vVB|Y?Ot@7ZRqf0>r68z3HodhANaNv zuJ(SN!>;#0VYe$Nlsn$3woiX6GXTQd2%v8(GS(dr1r^|ZY2{@OA(xT@ZHJypp6n-D zVy`i0>zub8+WB4c1`t1k=z@Pb`q0R9Xf793 zw7e)U*pY04dew})PmI@V#DRmaxnkBeN6`cGak|V% za>CZrt$oDVeP8lSooU%w5T!dYVaiJEo0Z=V6KUpm2AKZ*Hot+#OYSM%qvUbpt}!N| zAldki@L`_9-RnDybw5ElYpT`3WMf$cnjRMESa=pI{q3L*BwcNU5>-L&Cz7hVI}?f+ zXYyUkp6Md!PSAhSAV1&u9F#ebg5KB7!v^)cD^BJzAAz)W__C26YHyf%hW4_9H|p(a z%u@HK0YpS#%WGP0_YR$B=_R{YbZU)wg3M3qd-GoM#SAtoX-NyQk9`F(KZi=4=L>rf z`-SLk5td86GBtWY7*$ikKAS@Ks$hF*C4hl6A3@1OJDCc>iAc~x2g6QI+CbjdfpQQ4 z>C175RiTMozPfe_g%qm7i=Z;BJ=6!y5&>XZeBS{8Van((2XK}X7XrAslpIc|V-=Ni zqC_Jh6bLUm-fMpX_$q+%1Hp)J1U8D}CD8bUSF;C!jtA{qr1e5yvBO3oN+D z8rZ8E+jdPsn`>Jakvg2|6Ug^X`a6_?G!AeWi>W{w08IL7(K~o3=ob-otTzW2n0chQ7njTA5-(Prx-kIfg!CXBS|ANpOrHGJWPl05 z6u!mO=`H}qRgnBu!87qz%07Y$uHz&i&hs1W#hOn~Lz7nU{q3v4K`Dn$A!ueI4!{BSyctuS?|v9Dnkm^T>xxMSi9Mbq@puF{|aX2uCb2M(z5UG6S?GU{%ww zSMycn=JaP@A*Y5ZG&Hk9B>BUwej>DL=lS!3eeAF{sA(8}H@Qj>WpNs1s_<#0zb~xg ziHurRJlo^yA$KX4K)XRLLew))J~T7LUmql4sKBKA5>(*QDh0lL7Yt+8(aLyzKAX%S z(({-4InivmmojUaN^Q3UEibtfIbOi^HY3I~T3BeI8wSorKOj=Psr81UfC3FaKfBj0 zHlgx8AoITwn+A>DjR5pN_Ih(v7pqAI!1AHbeUJI>QG!DIXAySrN*2SRjh{! zLWjS^e|8_y)0Z&q)oXk$d!j5+Quw8xXJ&FzD4skCM1^r5fPx*eZ>;%ok?i8=NW>u> z@K(gvT!SqXUI1u)+)OS+oc_Qa?c)2E7q< zlHdcS&I(|iswq(VJTt%CshR1?cN<9jm`010?oc=M$u&;FH5{PWS41@jCG7BNMX0Mn zHgQ8>%0;UTeU<2?%!AKRrq=P8!4oRZYCyc1BzVo$04TZk_D_cylOozU;0r`mAYniB zpwjxvK(_co60Ed#EgduqJb?jd(F2|{871T8-ubg)Fa_4`{Bu7<+KW) z4rt|y25*L_LVOUoV|Dj5N*@&cUfCdR^`PqdB)QAM>5( z(qa~NyvEixaO)%%Ab=OF@IA}=)ofn?qGte)`=FBoqOMobR^#y(+}1*f(rOlaf!{y0 zOCdttegaZDvCcQy{uW>@U5Qb@vOz@l_%Q7e zr0K?>0rB9tQW3;{mzXc2SP^NYgo8PUMhGU69+(V5YxqQ>FYME*-A1BxkoE=bqn=CdCj!*YLp# zNCYFQH7)^mP^jK)-eDQvWkpHofdZTegg{zF>5o7bq}bhF^n`u^4+Pr)_5K#y;m$=b z8cA@u0U)I~HqL=U+1rFCA5A@IwViI*%A+~l-csS##D)&`)w5p=b%e7yD(`(JblMy* z+(6@@DxgJ%fE*IwX5Sq&MN9FjjbGgNLP&LG-Ep9Y|Xj*DqmG%AL&9ohs&_*=U zm{_w10oOp54r?AyBZJFu;qmF7j#D>c{-^xaN$qmGMHQgmGb$%xldzbpVRqusKtV7D zRTnPiv;t(wu0cDU15-{vAke{yOfCXXH}Fu#_1k|Af9VCzr=`Spza^YHG%cqlC5g!i?$a~7TV_DJN)!r&+^VNh;mmccy(NkF8N9yl^dC~dl$zF=bQB6^D?$6F ziKV4{n6~qLlZ|kkTx%H1Kz|m9EL8vZ(c~_cL+@Jj(eo)H9Bh7@dl&ESX>>4Gn>XJ!sS|EGh~p ztpeSNwnE^?Aw)5TfK_GiAcYKWY&M4Jn>z7KfnQrT}gtGShgazi{*^xP0(Fz z{Ha$aT^FQF%uW$}i@QvyhjVOwb}Gy>I-^~GAlx4TkQ0k}dUvF6@f}*0WEE7+Y92Vm zK6jaQMoWZ|(oOtJyiumQa!n`yYEOqu&(G{S!$Jr(a3ujZ7*?2+o)8k>me}6EJl`J2 zgzrV)DkT-tbS2Fl{f)~J2kVri&+35+w5V5BR!(XkZ<~1K5WK&iMsMwHObY#(67vI1 zXN0MGBG80BKQ>oHMD9qIIim%+vLd;b?f!-6kI~)yH==KIuw9|8+C7|D8DYjTh<5UH zzd5y5qR$_kKkQyMX2X0WAXi+urY+E&^`qG4Kk-xRXr0@uOzmPcnNy0;CIkJ4G3$<+ z>Xo}OJl)b_{v7^0Tt@j)f-1Q)6&`gryJQBjON?pFcfa6gn6Sz6QfC!g#hl zE45cjqOuXCh}o2FoCk=Kqs75U&sqmmID~a#F&L~54Zl`9WJPw{pTsPX%L6x^s?s#O ztQ@CNQ|~`by4W7z%q)rT3dgGb_I7WrcI>F70&%yi-Zcqo^wS?-mwXvs^yFc_l%$%{n}&{mS&NCHZkqW9Z_ppI3) zfvLfhvInHkPIMk83&M6WYmNsMRsE&I()Rv?1KM|oq@7(JnAK-ZZPtw!bz@>}*2bJ# z&@u-@ABDLBSO|;ZM~Ef(*r%AV=L|wrjkv1LF6PRzVy)n$BpX`%vF7Y9{EFEo*JgJS z>dL)*WXRqLWpy{{FJ;wvt4~!tcJcqgS`Ej%d5sILX;oXk*Z_K}v%$~=^-zqC$|+R$ zTU}ygCW1DsivJwWn6Cqe>kwa#rcB@c|U5!rn!@)L&aBp|(DFfinwNgRE^GX;@J zO=Q>(&29H*g8!G3=OCM{>!{ANeb5QVc z*+0-giCPcxPcTWslrm)056tBVV57=_p=25Rp+u9}a38FwYu|3ovz^n=;jSLN zTNgAla0Swy>*q#A3E{;2M*(9!RExN-E4=D>F(Ekd1uzYW{fq|2IaYpY|4WGq1fV{{ z%eECOWPFS;Osm~0m7!4#lGBl-Q=b|&>*Y^8HMn>_qt zf13blupsvA&&~{mPF>(@v7q_0wtg@|TU{=shfQ}Y%FpI00rpE_Drp+NvHY3Kns3h@ z2jvF~(Vv~(budJ&7P>iMlG67Z+VIp+LCTJF`1)S~9SqwkcpMzs#{5KvuRI*oC=EzG znKhI%oVa{e55E@?qWPTrA=8 z5BnVZtFS&Gv>_U5yt2Ls&FGTd>dEkfJKh?Ts`Ff{N?>~&RkdF>%6kGF2CX@Y;dH8v|7sx&(m%1EfQgK4}jpQZfRXLn-wBal7r

MfjBlUvUjCp8LFQ7p{=A>SC z%?4r$C|K}l~l%GYz5*7!PQY`zNquhc>AuESM^CyyyEiIPtxmaGx^a5Pay5Ca&JDF3tGI zGSU%d#bS5Y&w#cl-nnuD4pQ*-@g(t|x)Fxtjy0Qye~KFsaw0IcxbT#bT%8x^Uxa0~ z9`jC4yoMB={yP>qYsrC(Jp&%Ao-oc}jw*IE?bvSQE(n;$s77fADz-IX1!cf`dLnv1 zah2VSl4VP8)Sbeg&~&1t{RV{N z&S_4&=}2egYc7yd00I|s(i29AO5}RO6Lf-WtsCy&mZWkVAZLn!jyo~bE6oXe{>>w< zEl?i=$(#AoET#pL8(=UGk+sWZd@OflTMae?>h^O0Lw$o#R21L3{K|Maz^<(1JuF3+ zs!lzlhC8Y|z!df%x-wu?ar>**rO~bc$1aUq@!9r84&G&Q=5WoQAw&I`pb!YUCmTc3 ztH?qgOmjHyLikeF?juqMv5sj(|5TRA7x#CCzHTH{>AnCKb?Kv#^f9K62gp2y*6tCb zW1PcCfhC9rNHB-mJxe?e0%Jq*Fy#W$p;rY^o@1|f@NiRt)(OA^=H+tKXnR;s>T#ES zxW@986=QQC<+wO3x1e-_c!;V4d_(eQ>z3ix?;=QU;MBUx7|FU|;LdB#0f9^1S4Bn{B%O~NwjjNEe^Sh0^Q!BG45H_+?*O77!dXB* zqk(*eFi-=7AsCY%``M-Iu{#P{3Q)`wfYvnNvt@ve2#6>xn+(A<~XY?`#53pG(~nYR6fi1~#)2QS5`lx`*YJh^{kSayM|b6J^_u(*^R74C$v zs#vSs8p}89#wbH*Ml81!5XvROf17P&#YN^0eHSct-^Umu;3c&2ZdGS%BtZ%|GJUh| zp`O*&{w>I|#gA~`>wRd*`snqwo_Qa(m6N&GdIdAcyxyhXY~maYCq$+;83QDnm~(8D z!w9_9)V`tXTqlq9i77%c{`$q1&33Alp4Xw2hv?#>#fu(}ub~iyX2vtl?4;^nPB7eB zATvXH@CU2DB$uhz&a)~lZ=@#+>b$tU_c9#)*gUsJ0N#)>EoCuOBZo3TO$UZCY^G&| zo-9I75rAJu7!H$7xiKdhphg{{t1Sj}G>fH>K`C0K-4aM?58xbo@`c_msEN9C*z?Kk zt&f0lq@~tm2^K%V_qyq2+@ebgdNXgvpH5uk_NEznIA{jj z-dZd>g;Glep+p1#5IUN48v>2NG0fg63KMjXp}WQTDDRmds32zT3m~BcTBM6(z2ao% zjgr4F1B?NXDusFsNJIl%)}qtOiu?H*ZNF2F`qOM*()7ZWITD1!jZhx1qOmapRLgxk zI)dpLkp_z&E*dmXCbLkNg7b(pf`g2#v&u<(Cn<9grjpXbh#w8%qWdBl^xY0Rg7ITj zqv;_O*chGaYN_c4?ef+K7Ygn6wpuCZ3L*4>77Uu^AQ-~~v$E6@do`0vc9>mzqP%n5sN-P39^!WUBF*Xh_g}qZ zI>mTLhUu4foAWw~$7J{oDDa7+F5(qzAng*nUY31J$wd|E1F-g}Dszs~Cu z+}sy#T?v%n#M^8QZl-D5-*eQw+F5BcW5eMUu?HD4U%fcaT8hWgjM2T@ofXv)!*n}( zmI_32UUX(42#~uWe?FsV=G%T#^UQjxyvQSW9-qt<=91HxJaVBA+wF!>oDyN2^Q7HL{71zosVQ>ow}@G?|H3a+;`%OCp0%3=Ud7RK9AHz7HSP z3nbFMkLpTer+aj&MyEh&`p~2PrKZUYv(o50IoOfT#W*yN zSluPa)6S1mB#RF&=*=`5=lYRfs%!Bh7vA5#BfieyxW=ME{E@WXKa9@gykO}KsR}W{ zsowe<$G>g;{3G6nqjQ>h4%qMg#MT3LbdUihUM z*DA)kXkIaH$E;z%;A_Gt_D>^+;M^QMbuSiwB{K$7 z(JAPhS30nBfA^_$;wCQL&w-Q&TdqW*{j2TUg8k^0l)U75>bHaXteHC3Cc7skmI!~R zg?(7;V+v0(#MNsax|R9M(GL$6ElR7UjXrG?eR*bnHSy|`38slteRlqg!|Jag&tWxf!ws~sH???Qo%J)^#Rc^B_GZ6D%h6H`L(+xC)@P>R3( z>=~x_eU}F*WQ&$rW}?teOYO{N%mf$n*z7HN9uWlGrm0z|JvSU0*wD767eX9N-uHX| zu;su^(@hOaReR`aNZN+>)1d7HWX0fzjB1sIeONe)*Z|3Iy!_E`Vhsk7)#xH=|hO?{zxgy3=p;QK~`~1uL#%ApXTsDnU*Dyc4*1}k}b9u@?4X&8YWSd|@ zehc;Xj7#DqTO3fMjrM-%xfU`JVG~CYx@dER`+9pjCfszRCi%$_&B9GJyMZ@I-eID? zU<_U)yP|-uvh0itf4%Rcgpu0iTXcipQi9Mpa-0NS9Itw{$NfmIwSGxFm!o~OnRiM{ za*ni(>Nq#*_ry!>y?t);$e^~sp65aok+$-%lZTo;+pq}T-Ojx-X{5PAXj(q^!_~*z zyCkHqu?^m{es4`SqqbW(7{Q?X>gi#E*c)6oqZ!0EZxpJ&OQ~D>^m1WoNznC8*1p`g zMa%PBcw-*oKKMI^52ZM7VHz(Dz7E4Ou^1^ky;{%oAfnimg+xv4U^;HUi8*y@=6v(+ z(~6z=chRxP3qTyiihC8&t2o@nj$fO@B)^FmML(?dPJMtnFXdsd%-R1Bg^|XXhmCshGz>(FcEaCqK#S%ph?;&xi4}u1#|b)(->FYnjhpk7ZP^d-Vv%x3>q$Pm!G^o z=oHzuyi@#U_9(jcIEvdF{wNk-j{n^4QEGGB_=?a{DzlX2QQ7CFtPa`{@dRw(W4Q@Q z78*Oj3z|HlT}8)YsjM_5d`a|VDV|xK?kA^y;6~C-_u;Esyu_UI+RiAy7W0S4CVcAh zlJ>f{2hV&aZ_fFW{dM{hPgG!pyU=$DnR9gTUc)Ut2*g~ih<`G?p|hZ9u^?JbT-C>8 zaW8ovp_;_bo93JHAOv63r`S8{lPb^Z!U6h|N`DX6_c)gvGVj8xSps)qnFdeeJS|=C zj{WT_cEO~WayBE2Z%I(;zLgpU12?5!!wqq(sO?rwYo{;KyaIl`(g29aqgU@ zN9^w2rBRGNk4yezC!29ubK8)-Azb_O%@LQPO8SE;?3>j3;KpP~^8UWzINT_Be1<-l5M(NQ@5%xo)R4 z5aTo#*@QFJseThgnevOdKUWEmEgtHWmmn&`8sd23o8@Zi%5K5g}cJ?i+T{iT7? z*d5Pp|M;%uKl0{h)EcD_H$Pr+p(UO4PR3o`*{{Jfjl`m_;t1{?37^L7|1r$}V^a9X zkZaO}OD{Kkl`V=jO6F$5h{+?N5bz;KRtgj?=q>;EykutmahuMg0&R1 z#U-7zd>b+Uac<#+EiT2%bp$k+PW1b@&5@3GHfG?j!zuPb%B0lfr3aR)n;=E3<16q6 z+)86}fBeM+_&#a8u5SPSmIs%XUwSg>;lqdgSX92H^Mo6ex|$s6^UwEkeL5K1D)Vh-T`i1Q%a1&dU(h9VH|WPBx+-pt*Y3inch$bB z%Z}-oIq=@g2zCCXOMI{y>=<8nuoow{^9{W8>~Y2W{cNh#6)$ZGy z>v=yiZn_-7z3Z-7{Q9*nR(|ulp84gM1$XmnHv=wi**>L) zukP3H&JH>5Cfh>n@O|8NZ8VRO(ADlz%8vn;GvK<2z9eUV91t0;J(_&6JJ=@ZSobV= zqPK?$`Dm7!TU%QN|7ZHJ?bFZT@H^05V_qQRym9C}HE7|%-QrkC z+?> zZE>Y=s=yKUhxvam%eP2D)N)mXN~)Oo)F)-G)ow41!MvO%SXZ(;YlM6_!}!-W)^&=X zsP#w$&fTDl5`Ne8b0cm|2~753g@%4ARiF&j{bTKM&R;P|WbV3+exey^i;hRG%2=Yw zEUe@4X^dq^%q`*Vr&!&CnPkp4*qO2TGVt-K3X&gb?M5Lo9f8$3?~i%RZcKXBpIU8R zs5@|9V}7|+U=xXV@cs9Y^9*o&Gs;4L24 zHhA*XA?w6HL};1qfpPc!Vt{r5Alf>0E>~ zCeB@`?yq~6hIK=r=J+ecUqf+f!K&KHDNTBT;@H|J(W>54@QV<7+4gv%-+gU2(OK zGC;b+%eg|#{Yyz^sDp6p)H8EF6fEvqJ{8@#UKiJ0Sh>r_ItC#=i;c8hEW&=rT9J~n zR@Xb-zePl`$Qex4WJmtYzWRjwCKd!BRYQ?=iW}Tkti@on5#`zQo$XhH|K5SO_}0qx zT8?6!`%;~(q@*zw#e%*(MCka;^ify}HHE-p$I7cO3Xwmq985yN5jPDh<=u_>eX`B& zLCWFy$Fmj*>muyxe zzaIV|@Tp7WVMd-~{+YCAZQ{5PF%0vpNOEar&YVJbvN!)yZG+nc=k3J*kPrLz=)~u3 zgRu4D&-=}X=GGtJy!|a)O4X%%1Z#!Z@|1|LFYeS@9D(kjr>U@p!>6o$-$9#A8daUp zn&}6V-@>_+@)97q(4Kzi#B{NWzkVi@8ijS}T4FBE@(6DsS=;>NUN{*IuBvK<*8E9i zM&d!pvT7T3DD+3NU6YS#B81m;WAUH3L!{yOJ}=!l)ZOKiMbYfIWf?0jaTsAESHjhE zt6OWfj>zIr&mt$ZxCP1gvY0)_UCgCYx^$;Ki(yDNnhW)uySS)pdTw5js+gu$ebQ6& z0k3h_+63rTbf`n;cUE;JG!qGL1<7N;N_JTNlJSOS@HxU-?S`5YWv_DyjSY%~nY)^h zneFi}a`Cy));;U}VxD+gJa0GZfouM)Kqh#0=P%(;u*Z-0lg@60cqlU%RCEVXyL zFY~u+G^Fv7SCbKMGX?O&nS->fl* zb8FeQt3`ML|9C5{Bep6PZH`iQM*u-I4QB!3=QYAOL27Q&hMAqF?B8}dKgT^ru2*VlcF5nlhq&2WJSia& zS}h;&2ABBMTmFV(-8{md*xu?%$_3On##a}X)31ffro|_}Hrw|F6PBL&7}8!j?9R&!!30Nuo()?eE=g+0R%=n! z=eMwXb*E{iDw2Bc+|AM*7!QGzPP#u=K~to}dnCo>PQqEc7ZP!IOoa_P&(Qzfkz3y9 zCsb8;W-+;TnS&9HkuiG^3vV>cOuFXo@v@B{;VzOje5-mQ^?f)T7UtXCbTZx`#g5nn zxTN-NSfq{EZ#?Pban<^Z21R%YffPgL2qyB%jJ~n97C!ouMJ2MYu8BX$ZhdKnmA#HpU^(c3vT~zn^8Ma%U9AJP3h8qA^&T zAXSC-weNS=AHTFLQBNp))))cYhZ z06Bhq{cVjuqY~s0A32f7|DkmOW)PR`Ss8@f3%jHPHs*6->lWj$M-s0-1N?FGwTuY1 zE0Z>#{qF=H2Ne}Un97JtC0tR;$jcl4>C-iCi_zbA*E*V-Zm_fGiFIy4qwO1AVtCB= zK3D1Tfc8Y`H1&}%aK9_iy}so$!-xwzMRe=*_h~Gzp7#(0&s&3MH-fX?me;sIAoqCH z!7Ie`5gkOG3#8;@$C(zG%I)&J^pz`1Es;O+we#va4Q|r@t~T~vr4zmzv^#g>K6aM& zUZ6a3JSE=p#owUgZ;Jz;d`ezxKmxWs#DU~2=`<;+krlx&0cE`K*o6L|_-2BLK3i1P z;~!b4clVII2$CZB@BZ7dLsLRnM{Ul!$3l^gMAxpNenK-Z;q;RyPo`#Pi}|a*ef!pz ztCI2g=TG_djSUz^`6W5oGdw&zKYc|rT>9+zIE9VV-LQ)-8H-lDkyplMj?0Yt%1trm z0!dj>xw^#Re#zBg&8(5`k$%ZsTDqVjKfS zj<7@TVAtZ?in{v0bw#vC2%>QtMUxNZxT1JL|o*PX6 zB)XOX&(lu9qw9CBlsEgd(?yOyddB-NI)}Tm4-9PUHSiztxlAr* z+AJGwl_vcC>!rDWepwPYh#TYfCAC>buUCkFePm#O$cS|D@Bv(7cdt;E#?8%5gTiIO z(Zj>TlzW)3kM6`Wxt+(w)t~&~-~IwTi@t#YyY1Xhl|}+GZofBgu=4WrqgrK! zxP^o$>R2V@;<>fC`RaN1Va(ZuW+Af3KYpgrQ7^Ks~gYi$u6UM4w}gs*~wuOK6m`!m(vwj1b8)cYWml=jK;Q=yD%-$6N1 z?B2aol9G~bkzBr)Z#{BcxCVeLeAW9p39b>IIF8Gu;ZC-G#fW!=)T;sTh`+z|CIf8c z?{`?;f*j%Rmw95n#>r23Snm%3>ECZH`3Ug*-!C482_|z;FLVOE0b;I~*WRARo7f(< zpc4=nhCIrv5=KM)2HAC{mhI({*3J1I5S(x85 z3p#e+S#g&uHe^XjNg+3OYyus;PPmD#_)IurNjMCC<{Qc(?+vIybt~>W0`TjpuXmD! zka<~4zjEJ}+RWxzj^9^MR4j$jF1)sLK|`Lapu`Y4*%%1kf8`terK_7;DfAPkW@Rbw zUqXTGvlEQONli;LW>y>ya@*h5%^!sMKzJ}T|qJywAsY6YV_zQM^! zD-&4{qiJejuEp;mZbq|9T!qZag+n~I@ZTYS{ z7CNz=4%Qk6^Ilv$fBrnvwj2EBX_g9Ns*HpeeSCcM4GodIv>dS;aJuu{m|$>lFcU^< zRUaR&B&NWj1*38EVL(7Av(|^4oSY#~A_gX=+sw=XI>(rS&E*lYSLMrPzCcQi#Kyt@ z1{1&v3C3YO3eAlhU&JDWRrQaL4ryp;E?vLg_i_w}%Js|kcoLMjs`p1$O295k;onmw zFuHfJ%#HzOFFc1GX>LNcutr$i+|m+XRu(y4=fx9t1_vi3IQTmZZ4n}laQq%CQUdV!lj!2HWRK&c_7|SI zf2>RIu&}5OuUhNs>bAuQ6!XmsTTPtam}$R7OY51KNK;6l3%_yQ>=H-95vG0{?<4vqulb3*No^;o!hk z?i~#!r}=MQZ5K3GnZwHHOC8vj;KZ0(WVOC_w6>ar?bdU=dHWVD3|A$iu+(&KeVSar z-Vf|L-Ap2%F3vR=Cf@h~4R`hXMV3D+D>+~k5C!hGTe#PO1bWv(x#y7Q(pYsI_yc6L z0Zc_xFt1p91bzVIc5IN$!n8m1G;0^NpA3%~a z3fRAJky4;7N5YmYUMR(K%XTb>5$^$%LQ=}g*Fi>-%A)#^8~ZHoA22WdL(JAoD(%el z^b4=NsNBODaw>vhI7%4uh+sgiXtM`;6%A&vPhKbUR4Z0LP)yj`*w|2d+I?ydgDHx% zTNYgQ4<`+vwpv2($WxD}F)D z*wobYC%;oz0PS9gw_;GJK3L(zLFk*r=d&F+-jX4D|H6^W90jo0?Q@6((WT$U5H#al2fbqj2U}Z84;EH)qv4sv6 zHuhkNm7a~7nAn+!hzMK?{$5br5$AwiP-HsTJ<+;_*;fMpxh8}dvC+2Kg(t~m7@ z#F{HWyZI%VHZuc*FWfgfJG=TP7!n?JvS(OAgM;sjilPMUmyDiNc^tb>Oiqpral>IT z48A5=F0KO{L`#^CyCg)JFzHJK_5no2wMd=J8XV6PW#tBtob3QhQmb%eqjFt6#bMa7 zX=^lLARa(I-aw?I565m>G#@O)l@GqY^vul3d3g$Eb*)?I;V{@S>oC_T=;Oy)kUw^U zw*kT1pQ2%N#r@Uia0o;ClhAM$4)=SerkO*YVUJ~HlVL-)uTUT+06B{3SXGP;3eC%tK)l}_x-S!vW)?Hd_HnYhCc_iAhOp9!Cc~ls2HLkq?%Y zEF04TGiQ1a!Z{>mWRR$bX+flc75CuaKte*|*+OsHZ|E`zZ#O_0w1wA#%YRyK&!m#E zRbZzB>eygbaL`*;r7!|qt$Px+lu7_A08~4PW4e)pPqt(0&KEv zB<@322D?&Ia7Ft03y)UKedL+$MXRc zJm%zZ>>{C?)#MK=P#I^_{SNGu`@5Sxa&l3QENXeDA^4@0i*=Qqh3L0i%?Jt0n#5Yh z#^TuYet<05y2^eilg1Ai7L@yR=!o?D0piLU%$SF6R3a}4z|K;L_{2BLj@OkAOEM7Foh6kcYnWF z!cjF_Q_|6q_kky_vE2b2)$mq@(A)DVaj{z)_VeBELFNUNS5R{UIaFYzuG@o#Oac2- zA##w|3!1@eq$axPk3^rP-r(`s;p9Y+3^=>-YXIlyNR$j=#ZBm2OG`^bz=D*l3{YyH zJvb0?4KVIWUOU+6RFsz&m6pZ@eVk17!VeHrtVAzf2Ygf-d^k0=^~dsw4-CIbZRq&; z_&$Y(=D8nYIArw+FI}p6bqZUy{Jp1V?3N87A>qX0;_w8UVzP8?W20Bn<1j3l$+j3- zI!FYz-bcs6ntDMc16flZi09wDd9yn!a@-8*uaB>90z?_+F2e90V5BPK7Z%#BWH%s} zK7W;#bIiO-zxfJGK^1@a@ZIoph@9uoodnaGQ<*9Z5Gv04vQ#~T7{FYo$mHl?@7ne2 zRuE4Y4e`Kmz`VS?Uj@cjk@;|mFR7^~u56J9L{ zx{FL6fg|K$xwl=X2e+P-l$5De9vUc&IXS)K4yNd`C`BNqhTOstbi^PC)SYVjNMx%G zFCpgjNnFoj394IH$jPM#vb7}P1x;GPG4tE94$ts6jN@?rURS3OP0!V)3?J@)w-0eGXkB-!~|pA`Ql5f3{em^uFYEaE?$2M`$k fe((RLM>?ibxZ=7wK+uXpz9hwDA7q@d#W@b%h);zQ3k$V#IMP3349tR!@3JOU|Qd9{F3c3;s>TUIVSV&46Yia}J!0jZa z;iPP9;^g|x!5B*Jo0FZDt&^3x0g;QbgQK~v4J!jX12Y|wnUj;9BM&2^^?wR5*gBXp zE_}Oehg9;xPEykm3JT@hpZA+0fkJbrH&9SgqCzTe>Bpn@N?!5kLG~ zV0~`^ocgh(Rm)MXC^lQvZrRu}Lr^fICw2lr{ezW+(|?^pLo@Ve?hnL>lNqUSXK z$=voNal`n}rI&zDZSeoO?mqLq9?U)LG2ZB+_YKPMriI z;flMtxy{`a%4Zl1$5X4(hpm)kQT(UrPr$IyP=lwt3!N6H4~&eJI*siPJMeqJEYq{K z_IMgq`0vHag;SOK0v!*Bv^qLEWl9v2;Q#hK`8^_H@8o1m2Cu79y~Ql#YPSoL00gXY zc%3(1-rg~iWRQA?ER0bB|Lyi!w#iuP&cn+_PmrTmrTO$PHtVIUgbqp?8hB1l&Nwz) zT-@~Z^x)uNw*sIW28r94A-2M4+X;!rY&Z@Y$mLU+h0%0Tqwc%XCHskMYpgDdCGYcn z$gyPiN%vnzaaHg0hOn=y(9h{>e~Mq<#oD&MpNmVrYmoV>`hnNB{ZD1PKoVdBdYT6(y-#3Jvi?7vd5K&T7Q!gwmBp1*oNKZ{omE8dT8f7=Qow-^IIhusf zt1GA4tGYTiHk^prj=j}peA55k+&vv#UH7X&rx_g&51#7kYBlY$4}T3*H0M=I2k6ZlKCHT^7jH}`?gl{p?>-#^!#wW*y_p%g&N{-Jd(Jvu_08c*Z!H= z;2jb!htcKsklM3e_1C!nieBDgt!diR38b8zU6qtp*H0MD8Y8L9M3KK51>V9vxm#^Lf2}mE94&M2nWC;erEdK;(YXWB2NNkJWIefRw3uhmwd@jsqB{hMT&V} zidCTKbX(#(Umn6BcM-Ag=*$UQ9NI zZS0Pl0Q+d(8QtQIgk6ZNRk_|Ay9M>tJPQbS(`lIEu zbldNKHL)XGfda3QR4QxLl~$*)Rpq(!JD1bPQ0;)ty3eaHQKQ~FLcev9#}|8heovHH zTOsgFY#xor+kC-}h{IPn6?fR&(|vc$Z+Y!ORq~j7x`vfv`r*pHI{ySDbvSp;ZCa(6 zdpZY~_8=F{!;{mBD?I#5)kudKu*O@y6j&!HRC~-K{ zV6hr1>c{S-6xt6+ZE2Lw+|IYm0_pI(r_-Y8GaOE3TH!!%8R8g8hf&APaZ(?C$FOAu zR6CW$iP7Z*M%;Lz^1+U}1($1rBgUXhA_i=APxg#bj6CgY)MlRwc1al((F;A^e3(_H ze6rkYfxw&Y4!p)BbUU$C(^SnCex9E*s&O?hi3ufvx#JR&@J(MOBPBea>6XBrLX{(N z9(;ydM`604j=?Z22|`?%%kc~{+l6RH*k(Mrz40RLdSSIDrj~&yDS%UOJ`%2A>DZF& zYzan#ZVM5u7W(saVLl$0;M7um_Q>)>k=5+gLjz|A{ZV#^_d$npS0hPQ zn9@WlGd5R=9z(4`hxiZZ<%X#GQbLHBsK2LXL zZ9_vt>3r_7nzbf5(+A0H=1RyQ14Ji<3?4B90}>Y(7mBl!)mBcRLe<gsD-)MPWH>UcwNl%2fN_h))%(O#4VPXRmLbU!Nig`JWOgT}h&;jjr^-NEQ;>$c#^M zcY~j48cM|GjeDZ0x9^^vr!1VKlS+eE?^5!!o`T|?X`|JP!dpBAqNOEQYsL)-mN!7z zMW-^usrnOQD-w(O7%ph0F-+gcmX6flL~~&ZYGo5i(I(~~!Ltq7N(R?z-8-@v98gKC zUz@C!&5}`4Oq;u@cPukS#Ef+kF*8gWWTIlUCs(e0q6QQ)U##!DYf&cHd^Fp!^_ z50^Wd-R?SAXNZ)P;at${n}uVn{<5AQR~4$U zJbeiE^el-m5`L0H6O)Y%JHUF_Vr}Yp>rO!|uOD^O%Q4NKc|{;(GE~ECb83Z83Q$U% zKxkbTJJUf);My+@cdI2taV)P-Cn4pM2=3WMuOCn&@UbQIE+}?!zo?W2PlsdYzkpFf zXw|Zdbg)}}o}(oT$jWQmUKe~XU=D9Vl=dfDbwWae?d{b^tGFp)2p8bpH`%8XZ-N** z$*%VmQ4<*@4)=qtv-k&P5=d+|d-+OHeyhuL_P3UBTAGxTa5D!m^t7@V_c#S|5~gl- zY^he0p|Rd(G^aeu-&VI%X$|`o13I7u4J*I(&v6&cNOO$qOZ2Y3w`eTssT*TWnK9;T ze6rE1Cs3+%D0);7_1t-9?m0(7tNA7k#q%?e7ml-&ty2yxKNy-M!Z0DmxeI;?oLmE4oEe0wH|uOfA_kN^4G(x5b6G`}OS?UmkRoLq2LxdH7kX2np~Z z-YIhwoJ6?wCufG_8&fQ$26e}`m}gbVm3I>L_7xiGkOv2<>+}NjXZ+9NX{5E(lfRH% z8#B7cYngW7>UO((*);*>F@+U|M|vM`#S_X2+Gqq$Bl-FKXFz*zvk}_fvtSR;=}NwO zTArS4DWV!5RbVbl+)tVs=>Q}STgdx?FitTW3laK(ZPNI4NeUYE1VHfB#V;LJLbcn> zk+D1bvW!f5#=e+=h#%&&P{h?uVJM;O?s1? z%;5xIhBqIbUU&r3p8^sA+O^ijJDEvQkM-m)=6oQOR6h<{%$-%&?M}OC?)XUdx5?t9H(sXCFS<9a|oXwvp z5_%|*aaYP>;WsW`EW@1kRM>FX?Qq=kA{tS6kuJ?7Jl|6q5dzhEo33RqQap|)fuaVN zTvJ_aBEt$1ww9uZ@0315y-+?^F|G?{g?QgL^k|gMi7g%~U!k1Fwz#~3YQaqsq8Rw) zE;04GnEB{Fu!@kDm@zSs67^Bh=Nvn520b=O?mOZZv(76U{Pp*cLB96M)emeVhV*Aj zkMGZZc{P7k78i%rZm`NR9Eha&am3magtFHN@)^NFPDd+H3QyW``nESaMg$b)CtjBi>^3vd1&te zuFz)`s*a<#cQ?@TuPu~E26#lI>=}21X7K2)L(?pz>O_p%Fel{G2oK?5l+i`(gCi>A z+?BF{zd)a-kgX*M-9b;@_4KKX9U{2L3YWJajpp@c+NC0RY^h>CzQk2b^T`jQ8A!Qi z)9K6I?e@l-HUgs%dwA0ZKz2GO!p8!3Zz%b}5Af5*jY{1H@Vj9Tz|vLQh;73g8J9%c z-^WWi^cSE>s^Dx@m8K6G6$uc^J;a>s=joXdhP*qu9x=k>JSlf?$fyfWQw_~RI}22m zl#$-K2`SYy2i_#G$d&9QpV<$J$ZIU9Z<6HMGw8khUe}90Zp)R9(Zmnlws|)`x01CD zznxGL<8#v_47KV_@5VyUbb% zRe4ZSW}xG{pXyOe#jO2>51X7!TBc=Ml07-M$Up+zF4kOE)MhhblI;8;x$Km{^@V|Y zXMYi^-zp)`9ZQ=ccbql467@j~U-~O~9O*Tc-|3ujoYCr-jHH!{WSEEcCadg)U%=tJ-9IB(Ygdyeh)V!{- zE)R85EvFq9P2`TQ5?a|%N^o#s>+bG}f&Sdl^wb2b63#1Pa%vcXTJJp^emRFzCJg~o zBv!`-*US@Ef&ze4u-qVgc;*K_*9Zsp5yPXemhGW~JA-YsdDooJ0y7U8ESav-s-xVM zDuE@Bl2cJ9!moo~@WE};x-8=_85m7(_j_#P*s9etVJps&>!Z%chm*Q2-Q2h!MyyJy z+Sul!SSWgqbOOzw5lh&aWxZA;0bn>1pI6pH*>MVD-InF_0FPH&lTZYn&Lf6j_3a($ zyVnHNm`oPFC&6CcOXW<7g*4y3e@4J!n#@r|zZ&NL+|+c+ROq{A7^^lhl0ah2=Z5|i z8y4v+rL}+*(ha+c&=tWj>^224`?izS7aJ%C(etf=Ii_5Ih~5itse5aNhu5z~TVTBQ zRVhSI|BZkK$tK(Yks*kbSJ&}gxRQ)bp$X?zF`Bo%cY&;2cf2u8GYkVkkH01XP8cUZ z`dnF{$z1t6BKqx6(Qk&BUWbI(dneMmp}WcI_x32!LsHA;-}G9$1eX%^CmynxrPNd^ zZJ(ata$YOe85NuATKl|r%r(#h92V8bD|vf|^j*^OF|Hi?3c}$OyZT@AqLt?tE>7U% ztRZT(aoWR2CbXI32%s{GoYp`?IIXqdQ8zr*&QP*JqbVm#g%1ZVn6bLKn@(!dD+1 zcx)a(Uxpkb4j?1kH>fWeMGnOW59PZOgYkksR#B~+08$dZ(anb76iXqZBpIqSW?j#! zP(;^PA_npdYxSN*@8>rV1GCWrKaxT>UF!(H=h;^-JsNCZ-g z-So4>?Qgf!7|o`xil}h1Z<8doe8aFvOh!i82q+R+$-zRUVmHEYKYGWJL)rl>jcu*W zdx}dvn;mGMaDKF^j}IIc#wdJ1fQJcxluz(by|;2gc?*OwDHxC#$f=%Ah7qdhi@0{8 zHfhIoocdWIxeZ^tuKdacZd2ykYgwo}g>~RQcpTk(mPyxzEPoRc5;@0g?^`u-s~&xD z58uQ^qf=RJOqU(~Q4Rb4xVBtnJMcL0uuR*&yE-{}6`Z)9EcN|>hO2pzmy_#TUCrq5 zeq=G5$WGezJ!`+6Fk{mc3EJA+!l3~i7YwB z-DXKCNQ;@@9`=}E(BLl7fA;5K_j9C0Y2)kZB%1t;QWqGH#qfoNQG<*oqR)$^vW80A znZ$fi#w{d(*~bQf_aw{nEjB z^*fBMik?h^`O@d7Kf^M@h5^PUx%lQ%q%#{rKaV_-h3%3 z*I;x;-pi;PZ5aB76J3|g$sxBK*LH^+*H@bvvw&UconY;ehtO)C4z}0}zTDC?>qv*3 zr)HWY0=3psZa%GP-m|zlyKt|Y}Gy74n3yBuNZWOe%v1d5km@ALlX6BNEfT{t0r-l)T(L zsH3~R2Fn*wL)1%jt%4?$%rW|Bfx})rgL?KUZ(yC@^293Acxz2N4TAL#6@zAJ)DPQJ zn5f0?pt z{8zI}5{HK&yQPcSV?_6b=G?v@+^VKZNixh%$RhpKt*^CMnwNdm_c=5-pRM_+2Wcb4={&_{#=_nJAq+o4qx;xB#j%n z%LWd}uCj!sv=^efQGCxW03>%(AEm zY}c{n^mg-Nr(9cZp2V_e)vHzi+()XqGGg+}Yp32wZ->fl%?s4$o!_-LpczpBZPq#$ zYTRl9;Fos0zASUzw-*$~KJ2|koQ(O58c|wsbO!3po;6T@MPnI1>HmlylI!lejd2uX z@50#v(fqkEg%ul-hHrYL9v$D9fxmvjKfq1*)XTP-c|UNmHFSPUd6A@FGlhmp_x;KV zPdrMT#f2^~9zB-BS~yolxWw7!Nn_15pBply>MO1$HyMGl3|l??gsk2pR=;jDyX#rs ztaM_Gk9JId=Ch;L4&YF_EH5o7wKZMHS0p82Ra8_!{D5#Nvi;k8m?VQ^aD-mJ zA>u40D{BPm@W$*^ck_-2^cCKU!IzzSdz+q@opi5bf*TP!^A4={3yZsn8@xC?iGJl^ zJTg(R!soD4;Qm4{Qgb0+uZf~(5>-mv=Vg{rB0>mpJS{gfJigt=F1`{FNLIza|DY;S z&nbnl>Wv%}yX&}*j)QT~TqowC!@_}i`kTf|HGcs2Y{7)=m%+qQvv04{^;(d`GxbtF ze2Fk}K7WXBTuHL~%`2l~=R{bN%;RTul0+Q!&~b~b(YU67o0x?1P?K}AEfO4r0RuM! zeyazN8A}^rOg#CN_KoMbVo`p8cb}S=*3-x>h6Jan#|wYpPjcPGt3K49^vARg1wWC& zaEd!yEqJfylyG}muFOOtO1m9kVU$wQ@^LSLTh%G&Z~ffO5O3KeCAk5o72Tyn!UU|Y z2(A_XtqiUclDENImP(~LDt;*ZAlDr5pbdq&=}meK7oSFfV#=uMScrV-*5L;MsJHSD zwd-dEb%aYXzggdS%`_q@h4`Cic}o~r{j^V0ela^{ze?kXc6=Py=y-Dndz{eUY{qy~ zMNxS>IdNM{hM2P|chQGi8zqFN(!qcJdV%Cz0f^) zV&ez8Y%XDMEg`*7K7Cf{6cFQ!!2bw&Aeb!;ap{s1bKJgG&c`^fx!Z56?%D#QEjHS~ zR^*$|X*EDzpuxZ>IFfkw4tG|s(+CynNW_nsjFRM<%DkSZZRCWst@YCQoF+l~V4<4y zXs$d@zthJAklp!wgX`ntgHCVZe(asWvY0KQpSFN>})m*i~)D z#oRt#64Bau?>;nJ&OBEUAj9AXdm3asxO16DOOg2xr0T^7n(|YW8VT{%@&R{yI-1U7 zIlzHYN(`jbx+4$=Gfgv(V%hg{DLuG^pM&a6iuV+V)lp3Q&XVb}d$7_O;XfMqm-wjS z(CvhFHIc0+nvXa7zUl;rjEbckXT(V6?-Q(XJa-hLFz1sIQ741>_IyQdC)}*!+U?rG z$F|nV_thuZkKcMG>TDGbV@P|)QjJlY-Y(3PhY=J12)CS{2nc*jWbYuXmH!@_vm87a z>xYYMcTsh41rNHlR37W@*i!3`IA6YXcq-Ex^Og!#*nGG@PE#{^jPxWfnW^l*=#0Fi z;`6kS85%B-3J%%3@IC^VNWYT3g-Bk0^ug1*=^n9n{=L1RUOB`CQL#>$m4&;4{FU8ngi$at%Vm_G*6NX8jt5&Y1DUuZ6OSz#)hXQ?? z+9n(cmtCi>T%veG6M|#vDLunrTl4lJ3~wdR64v0TQ%Lo!$%XuA7ysD+3^N3J)WGyo`S#cIBGkNNHEa}6kt z8;ccO)5`u*r-p$7dG0ujVEwCeH>k+9Q!Wov{VKrYqh^O`)Ef0%=O&;Hff@OjD7x)|(D-SzeDLr1wBXPOqg(d%xQzhRd5u%h&L6kakx1`TnyL z@w`+jD~ZBeb*58Vl(&%X*<`&JG_LGg?(T3n5*&r_4ADD>tz>W zV*l#)#djCPWbSvxbdOi1)$?Ea3-P{j3cqpt>_CWOt8k1b2edb~jHl%04-uukk*C^W z@#0J8_M)BI7QUVslRQpvfJ};%o#Ks+a4lj(-wBbpt32YUXc=-9dskta7^WRTs8Yt{ z3KRU#*fKg6u*UG(uCv>8JoFEbjnN4=%uqqh9|hY8^$)U>k{$Ul_M>7Ihhrc3vVLF+oWdZQpb0K2hQ8 z%XYFHSLe=ZuUwc4QvsFAVO@pGw?H=5U??$hBqiY3Z}rIe2~3q5{e78&@pa1wvT&-f zF1ylf_^vPx04-S8(O}2%tQyYZuc>7gkPKUSFr7BT+H>j2)7B5b6>(hx;gu?D-i-_hj#tlR0sJOgQ_Qklv(GZ}T_IR+up7zU9@kLQ4 zV4IGfIbfjq3SCR&u;O~b2Y@ve9g?555LMLZ_8Tt+Qbh-!#|g%-%9X@4EoBhGn<6p*)U$=YC1W>;=3I5wQ!|kMYMUStRvs z_j}*~wMv<#Oe8b$adCj%TL^1GM63D+;;oikZrNded>7cu6-EmqpzS6?Xp$}x zqVuCZ{7RM-)d_sc%_ea7Yj)|=B z(xgem&yl@z$g6&yR5a=m*HWBHw`ZchAPwM5Cr8fd6oR)E8+HxJ-w5k8IDy1i`^hHEMb%?Bz)t|{wadRA z#B6b|fn2d1wIn}ADZ-PjM0;1mUuet@PeNaNKC5M*%AKVkzA>b>;D3 z_>)(){$>CbZ)ERo-Vd|N4B=fpc=xeHqx1y}o#Zj`fV%8fdzj65(W_g($pE--(?zV< z@Z=Bs?~TYyi7MCP!?%2eQ!kpb+r0*xrkJu@UGYP_g|=9Yx3Y4P23z+4loh%%Kh8P_ z>@SU!ZcfD%i&0Z6bfuman_eZ^aJI>%v%SxuM0D^jrwS&Wj>N^kd^DGc$}RfRwGFPz z$@v@`C$-j+@D{vhc-x1SpTQFl5rxvQ+8S5q1K^=W!fn`oxEFjou4CN0saTd#AL^g{ zt|fe5+`$VKZq8VsVWMXlEg<4&>yLh1B5h1tgUzL(aJ?5KxVaM%>%yGpXk@Bc8V=)A zUg9^6&Gs8S&?bl`W1|WCbsqeg-+d-~JPL|5c1vYDi zrE%4iJ$!bhd4tcHqF*J$8@b^37oC6b^F1b~HCVEzeyjb0k}muZV-0b%gd=bTz~&$g zE)$*US`comk}+#oZiatV?2qGR1P#KE>vs(A=|}F|7C4??Gy9&V)sGf2Pts)NIZT|t z^q$5;)K>_Ib}qxYDBz5*aAuUn8W00~i$lI3qG!fu*F5g2=2O#arVC>B!rD?id%4SJsi;*X3#ubTpf3eBUiOjILdB z=SxHo`WcrQzrdxj6(0M{Qw4A4*}Nc0!ufu;9D}^3f|sO=cHIgK0WVP4s+5(5R&MK5 zwwxMZXRGnSJ1{b60J@3G9Y7srP}>kggP{U38p(NQM0Ttcj?05|bnmb>;PePI>K@mx zgHVP_=S3EO!6{*(AXY0#y_!-U_~Hhc4h^exxm3?Dpe z=Zl>YJT^#IKV=INbUk)fbIOqK6rk8tZS{%-@pkkUHYZxD%+9xJ<`+#vIXChThI-`s zKKR$Q`^L2N+*NtH7g%tOYRGPGYUUFTAwJFE%;h}l=6wWUZ{GRJd)I)nzI(lA`BuD+pu=@3S z2ITHW`S@yb`Rf4vhN^qw0lH?2X0}wga6^|`u?xXZPhma9(ki(z5e|q1FVTXBJIIYyBaaU1u#4T3vjxRgQnrR^ehtuP940{m*)bimzjqyMYWeq1z|RQV_Fmo@RNywGtF&bM#dP5@EgY?nI6q^)}s^!GMHgXXIF^ zHWmGat{+VcR4dd2#(P>f5}MC+c+q~hVBO#k2+Lok%p_SLm5|1KT`?KQAraQ6C(>WN zx%Md8Ry{PBewaQ6kB0z^o(!J^;u9*uO%~|3?AF1FSkx-M+z8*}3$|pZ3iNiq_{^Yb zUa)+gnx247C%1k)`}z$jXyt0@;=zv&Z24$~z?!uS?j$-%yvAJgM3X+d)$5pi{rIVE zxB8XF?YUBe)@_VYkJD}J4B`_QtNil;Tw{Zr{U;6h=WKqB=ugJKa{qk%C%01c{J~_c ze*Jp&UhF>z>HD)XFW$ZXFxVTuOT0~HQ_E!klNi1FFMGWW)9$Pu{Q4^YSK9mklgCEH z#r%id9z-zcqA2|vRfZ7Sf7O2ZQ}3!xEAD?1tpAhs{>(x55B>YU@~nTgWcyzP>tD$3 z|Ca#&*7FZO``-Qc*9i!=+@>sgo;qMM13{S~fb$lkoaeGwRY^;N=f99U54rPa{E$w9g^p2=4?ymww+nxpsRsRsg!g?Qp?)5Z(vAvM|-2aXo zF=H@HTAB1;_u~IPDjuuL3|+ip|FisGqwv3u+y5l%|Du#3qlk#xK=G;VC90}gb@Fmq zfqK3Mmcxann{n0PHNKv&iGES<8TglT5uEQ0|@;IN$me5 zfhpJ;ECLm9g!9yps_LihuDjWH6|}ln({h@3)0(|l=$F}9WnNt-jF3;c5WlAd(e_Xv z|1tp(qQi4z$?KXNTxB)6Qt~mDy#2nSCRQJkwK-V=3(t$8z_7MC)mz`&x!qVmv*{1q z2HII`U>6I^_f|tOC}@dD8-@3su%C|C@v{W2>)+a+JX*UeVr<YrNaxAemS)fc-N(T=Q;2R3Lf3b;GFZhc(sTESsr<%6>WTpkki3z zPrzLXOH5AR>hVfUuk77JlZKMZ8JY3)Lpm!}!otnIUyVIlex$tFnSXSh3kEh8P7cp9^;Bj5Dd?qqlc%Lj;F^i&_MxW@{4vbL7ORenm58k~^4lqS=9xxQ;p((VZu zGRg+vx2JW-68(M>6laUy-$30fJ{uBogY^|7fK}*5X0p_a6K&omQlkn#MCD-YKSTsMcCB{iwxf|A^t#6ds zH#sm6>+_Ye*w=cH+b;suIcbgRkX`6--JgNYKYpxq@*ySDHD4?&=al)QSf9mbC#|~q z%GjC*i7UlV?rK;Yt5@=HmA7Z0LQPh1*rX|B!w0oi9Tl(Z={97$O18reBpzeC+z?^E z)&B_(FMVFjyEsy&Guv!7_6cB#W*#!chO?Hbhug6ev}-6CB2$xGC|FH$wa6C}Z0Wkl zy{nGs0qqRu^?T1(ezOpzAABYM!uORgJltS?@Bk}>hvB^ujT$2`)_g=tS~mAp z-CLu>_)`Y%H4#4t@qm{xO@hf;7TiMH6q_AFr)698)I!PqMik7x6OT#Mb0%ct#zVw$ zALDZ3RI~kQ*0XKf?G_e#nI3BALE50Cul8{;>s_d28vmwcyCaoXw|ceRIr!%A^ayfnXQH?bJX)Z=&SNbQa;E>=ysjIB(dBs zoj1tpz}j?d#BcX%+ghxy2(%DaqZf zPZ^)Q_X;DJlf8tT743U0y`I#F{@Zg8iFYYE>=1j&`o3hB1<5sXlN z>O6a=fLSi2n@18LaU)6+bADAQ;4oH7w->O-7#Bk|%BahJrdqgPb3t|t7|**e{gOy8 zv{C6n?CL^hap+K*AV8Uy7}4KqfvpDAk#aC#(UtHTu8Uy3&s|){Ti$iQk-tGqxfZKf zX0w=2=0|(DWV``7E{>lmPXzKd=!c6bjwNkh zcV?1ho`KBQ(HgA}nW-7bS6YhULu!p&^S_<`s^<5YX9q5jh9;f}B34h}{!XcHjrMA&mcx(9X6>zZ(~$1z#0&g-M! zHfPXbdQ$6g@PM~m=mTzvFW;7{oP%!OAbj^b04>Sx+Ae2r!bS~6&)V}!9M>VupPLnG zu*r=eL?^Ok#FXr{dGXkY(b-XAwu$;f7*=$PXApA~$QT`iHpgOmoXoAhSQ~;7_e2-X zs?j^zl+2ZhZed~@4euaJc_-r3$jJS`P!hIZ$tTBYeuO4`*qy)~v0 z4kGOCGrnMLjabTqA`+CB47zwBXVt|fz7k7a5r#t|Vdsy2@h)K2oJfZI54{@ zW`a+C3f01DB1Of(m|c(5BK)&H}?yM9TR`l@$Pu?d3Q=4c6mMy{WrN9d$F+VJB9N27Wpb=A<33Eyj}|c z?{h(2EaV#e89?|wA1x_*(3lHlU-W9YlPO>Gy#cyIx~G?H&IW)fUklj*kGD?n@thf@ zGZV!FFjQDc#JDf{V=e0=I~c3VPGnYV_#r+|jaC2GP3mZYFT-2AXD_18bSu@#>boJV;HVRmQYQ==E_RmJ?Y|?)X#SyHo9?S!5mEBd_wk$B zI{Zi9qc<0g1e)a-N_3!qm(Wy#QNKdxy}PVelUykaV++yjgy!|U?+o%VugzYB40q+VM1`M5JOO$VEouXOo(g7ab9DnP?#;Pm zg_g~DFTHdMb}D$chH?99wfRyHrX2-~fP8X`06Yj~zOnwEzgUZp)()mu^KH{R_16nU?pzQP$2a^_r>8ysc)RQwY&&v7K!DoX$S_F5MKfU97Zq~7rrlW)l z^AN8R*BsEY@0QO2pWoo_8CT&!YPhV!?ZZt=&(D+jyLP^4F@IMEJpbDCMip1ZbXIo6 z`RGo}w1mBAyzC8YlilDY`p42}$iAU6@rPzKilGD3NMc3H=%hxwHTQ?)J7#Dp0Us*J zP(fuNZ!hlQi)94n6R!Oc(tY8dAx9v^cNN{1o`rt%SmYEGEM9kZ5MfVYHWXL$s5a>P z%;(1RCjzftsW-NRwiYQ|5Qge__Q@mTpvrH5f(qVahj06Av!y5f#XU+&ONdcDH2z{; z(Qa)l$4l9!LTur20KOj)_q%j~$8ukFk-w`wfxlSxbjn&E5=y(mg;FN>F0J+u?ssGW z#2x9&YuX)oesp83Ql>|2nbvzJ`j!FaZ9j3z8iq8p@r9c~X8-PDx-{HbE?EGe`@Gwh zmYEGcD3<%R0k3T}q><^EkC+YqF}7my1L_B7Or*`V3P(}Au}5#(!kcEohwldD0Ebca zUk2t-OSfht{GHb6@PJ-MU-|-r>r2gL9WMKjMZ-?cAAO9CQ?T>U%1X?_ zLbm7EmaIbpoFJwVKDwtl7M6)M#Qx}XMAQ#c-C|YvPcST;u1YMP25%tyL3^)`#Jbxw z_qR67v`$yz>6Cw-SHYQBJ2GDJlS^ZcFzYvmLg;bFN(C;=Dy+`)xU$6y)&y@l{e5XN zRB^e7Sa2bOz1{7nBUPg5=LIqrCy!9x<&=D^k@PqZ#w9)twG#W^bXY>nv72};lAA$M;s~x=yrytH99hI942y@?ZZX>CD48o^EWAKI z_^@8`BrpUUVng{E-qVfoGOj- zaJFLftwb+TNusdhlgAL4@Fgv5e~Fs;p61VXV2!7iE`nk)+M>IF?mEzH3zvV>P*jpw zAb93NMgWL9UCjw_WtyU; zc1~3T^^zNny5TyDyi0LL-xzEldTWCVHz>mg6OUR|x*sKV^p04$N^$8NJl7Y`pg(N& z*k`#{b8${%F?YKWq}h3XWxqCBSYtmC{cWQ$AtpJLFA0QyI|UG@+GHu(^)Th#Z}b;oB4NW65a?FC|zFv{t!;U_NibhFhSclUp8RMWSP^a^G(69+Xa|pr2X@& znsA9dn}7L~6Pv%d`Ei1bEGyvyR-Dzb_1z)RF`j1ocg^_Oh5IVY(+=TquWr9y>;9-U z<}2D@Uatzo^67IWRHNjgiF`Ryh>gu`3>!DYW1~R0p5?EU zXE1^|O^qHyj54{iF)@bK?s;8JPCn`NDkUW?^c*_>ru2D^)xC#JrNKf?K|dzJ$Lo># ziU*+2NElYwNQncdjniN$`fonfkySIbIqOKjD2N}-MLCkATc@a?kMo@(t95u9)SzT! zr9Z5*BpgDIFbRm**-&>Z|8lvq$g>b*RcwtKr~jah%kzlvlL5}rNqd~Lh|quKRl&zn zb1x$vYn+$5|5-A3yq%%sCTrsgY@$NwO!l1hYzF-tevg+9^~IGixbEw>SWJ0R_j^7_ zl*~}Tn3xJ|Y8nvj+dl26m(>XQzY1hLuHS9$;Paas4o`iCBv#8gy8nl@w~UITTi3NA z2@otKXz<{{gF6IwcWd0;9g+~--66QUySux)ySwx$-u14v*Os%#8RPqYq(XP-?u@GH zsyUzMy06J@zt=XAEsn`#I;H+KyBuiWFliRc5yq&bR+2z=Qm)9#F68e&EGpM2-)w|I z2Kk5eJ$944%!&eVzue>_hg`sRO}Gg0o}Eb$VypSiSV^V^YXVo((Nlo(?s%d@{knH``ZjC!&O(%U%e7XDFhbV`D_x+YlI2LeUe>^z zOzK8m!q?~f?P|poH*!8I)iDLFS(;X@wezhkP4W=ljl=quK~1WfblN)CXCC7~)l{7* z=*es=7$s`W-ty-iyF+kHkz)m?@}SC^qn@89nnox{_5Ml0?y6oyYG zcF4h788f))C&oJH2~3JXOi{>w2F4VTnX{M^-w4dGjnqlt*{6gO>rKmzAURx1xO-B~ z*6pv(E5vZAQjLh^s7|JkVSSZV%mql}%8ORbv*Az^@?%b>M}UMV6C=lkHTk;bnij(@uT$d_3+&dG+8>l zruLnxiu3BD?7PPrzNo36&KK>?Q8+8^D?@i_6uYL3YRd8eRXBcs@R2vR(hyWCpgI_7 zjzFi7*r=jY?ex1Yrz0LtiNC&Y@P}a?dij*(OATZp%s}jGoMHpmCcemBJp3&GJE6SvhF2H6M)8UYM4K50H7g zlhQodl1a>LmdZ8es?bPyLqHhkdl33gn86(_Bi0LSh_K@~QTQdh&|jb(M5|2MhzB^{ zpWaCfX~j5_!04g|L33c3NEwtU`~xTw8Me))C1v3*TqAYEB_O59E*6MN^tm`}m4#b( z@JYBeB5$Icw|)$tKD^~@wd*0MiIdW5Zy!%>A#$zQ@k2D^r_mD5F6B$Xx}EJi2nS~U;zqV!l*<OXfs}CzFP-34Vgh*srQUX(!hkY<#owN4?T1w}7FF`g zX6sjvlOx3*`0^|aSH36)H;rS^UIf&b{z#0u%!0j^TWK`Bcqr)gx{3^S47s@>J+X^d zE1#Xma6-HCFfovilli22TeR@B0 zj8IMPMBmNP6|U5T$7Qz#Xj<#g(dNQxlI=UtW65>gR5JvU)fr!%tahG~XVEQ^kTFn3 z?===++GbW_1rK**>V*W+C0~9bwl*zP!fM5xtpCNSI!&@^(>v*Dmo#FS#sYbXKuIQi zIVAjF!AIghgS9sasVX`I`yO*~u`E;@Q}n!&ZiHCOmi=8N58|sO%aQSx`nTCiix;cE zFtdj;^h)lc7l4ehe>_MY62=X(l^vF$nd&4ML8|K`!`|vj&~BY{f2NfaN4NbpC{JbQ zY2E|RVqV3*3HFww>8$)gEeES_JWQ)n&CVs}b8UE!vufRE9+7@P?U6rMR-pQbN`5lX zsgW9_R_!7gxfxaG!2P(CF*s(+^A+Kio~`t)wj}UH`C!S~*4>#y1mnJ1Dp~D2J$&#t zItqI7r>ahT#b>*&FXwq{nfb+4WWJ`Z^wjV8EWyiWdoqQB9ioNT=fh$sRO=aG>CQP@ zzlVnKC;rAK-iW&8D)p*J<>O+?fRzk|h%hR{E_3lT=?iPTD! z)@f@34wI*s$J1auu0-Ij0a<3f&WFWl+_vfk9`?icG_LS)cjv^Q(a^rX*jC8X))+Nt z`vHl7N&h=O{xclvSMBPG*I^GL^xI6~Fj5i{AHZ$|hQYf)nIz}y~&V2#tTM4K|`&bA=G7D6PB`gIQyxPinh4NH$P1)}j4hnLfiF&eWwQogBI z;ETx^0cbUaTdJ=0HNPw#me%8?W#KISy|eSG71K_eFx~g?b$S(7TA^vvhHYdB$!v33+*odi1|9>*j-AevedT{pw1%*SvK!_{ z8=NSP1iYCMS)IP^dR#hSPB4hHSR+2h<`e>h7%hBFjW_wqt4A&sm^w&w#tw#sXp7Eh zf}pmD;Kv!a5j%SY#@f;qW*1GizYyPpkP78;M{CDFx+!8BY&tGki$46jnAhX)qh`Z4 zgQc79Y?kN^-MObt4Ll7n_l-**_2eIY>_nD@_E1p9R+xECMS|*dIP?($7Z4>T(56Fn zaRFDGh$OEY5rp8eFK|8&Qa*l>EgT1pdckL_CAI%?D=cOCgo-L4Cx`5Cpr2NWi-VIV zll}&SCSFULJVuNW3vsd5ij0mfqN_^)kbm(8Ad^@FInYfohxp2V>TDX|L;#u>^hP5% zsBlogV2;^Ei?s5o?Y6>TkRG^cq0@q%v`{az{};CPXuBWY4MWh7h>U*B`IiM(J(;5q z?mUwv6p&uSo38ZB%^}G-yHh%8uK86@Y4lw0d_X@LE2-OmwcXX-MW;QrOWZ|L;V^tt zblfx$-PR+-YrV6{<*8m4n2p_Pv=WGE4ys3kA%lSqen`HXdpAR~`mQalu=Y~)HcYk2 zk*1YKMNrHZ4&T94@_EMrlSe;rI!zJw>`vpOY;K9X)BMLLLvvy-_6V`eg{V()L&eqe zt<*p%sV~}Aw*=Em{njxxd!wx8wPOiR=($jSuAwYv>8P(g#DPvp-7AcBo0QAYwRJyT zZLmF|z>wC|IjDf8N;*fe89%?mpHBK+Cs0#746>OWY-EMYMr28=9_^T>n*SD7-zuqh zInZiNwe}rc8hk(VtnV(Q)w^<>2g;>boH_b(uuepAukh{uBsmr7F(;CxsNH7d4GyUk zfdd${g+`HaG8F?fD}Ar*iLnqXHb};}+sky8MpLV%3?W7Y#d zzYVW+Hki{*rN-tLLRqt>()JT*b&}CA|BT@&VYv^b-xl9p2r{F7K8(>@^Nk9AIpjPp zK<@>6G8T@m=sHgZ=AqIfPtw<258;9ON5Wp5Ix6HOoI73VGA>j&v$=mE>0FZd^Krwb%i55c)OOFX%e{RViYg)c`T5gif zb|PJtQy`=cvIiO`$-*{AEfbV7lq69YVGMhIj)=*ARho*AgA-$k7_eXjLvb> zYWtI=gtoTtzr4Ly>ky)Xyl#42(sKVv!LHtUzi+jVdX}F(zpC$zxmsbwBMa-GD&TpO zz}HjD;whX{=I%v!HRPb=kfL+mycFEZcpP$g#{OUM+M4+4sp6%>>dQHf1v=Y{I7Z89 zh^u{_u46asl!qAxV4>qF>K&UuTqUYleMbcd`_bU*Syj;pSi2b`7E4)r;pTs z@l`gOwgp$@nq9HHx{`!-jkJ{()R|9Yq?K=;NzBG$OH2kQjL03;xOwg=87}5*yG|NM zR!T%b{8&4EHF`ehif*WU{7KaW%gM++=ccP#hvW*AoiGf>`o7U2i#u@mys?2xL%Qu& zz5eETaF>UQcsJdnzTBxwuWO6e_{#Hn=%&7>qkm9hr-}w__sKG~q^fY4iE_ABM-o6Z z1otmULXPc@IK^|p(bL>KR_c7$>}))bGqcUICEE*n_x&{W75TFei>ZKk&iNI4jZX23 zxX3NYNWIyz(ptVq*-Rh>UWhkuYJU)tdn`c0WB{zjoTGB(VrMCmOthz48&Y2Coq_#_b1Q9EP7_;#fjS`lHWB`UQa@fr-7-&b^{%B2Eonf9BL%wxEpJ+bfy7ST z!}4F8Mg7e;=omhsD0<6ab0t`q=|SNSTvl^VrK^)AHf7nDT_6QBRrmk_vA*mtFYz^r zKtHvz=H7KuAI=rkP~-VX&~TtxIUvl>siTq)76JNgyV09@W~a9i1hH1(Hwiq^^bQp9 z?n0ox(rXt}=SrQ(nh!NVuM}hTHl*{^8-RTQ3YD`dO0y(C$xx;%^S$?h(I{J~Mk!p1 zpHpYyFAV7BR5PPDDlAsiNU7M|$0~gR+))p5#k>y0$ia(4s{8_Z_kssOh7?*>e7`h< z8c-i9IG9Pe#)P;C9G@*Syuk1fAyx)}vXZ}R4yxsXCLRrYC@=agqF4FH*AV_2O%PHDNE zX)H>B_0R=51GiXl>f}-ehUPef&Qp4Aj*GS?0f!>oy3Venas^~&{O4jkb zsqG370QP^F^z3UM)Dsa0((9sfO0-`48VkE@|np zP~2cl248Fz%lLO`dOgAG*k*idEAzPhrmB5-dQ!7oF!^CTb?DZ zHjADmroH}@7O-|boQLi8auEWuUTcE{jKRLGtvnQpH=Dt}Ncd8Kxppv)mSx`a_GDQi zf!@dK<(`aECL|~*Q#6Vc0iQb=)Li7${A_ug{x4Xy1KW*R<8GX2^3w-k@?UYcmn0rX zv%bA;FwuFix91OJzthvxm8g^c&5V5Uix=#uW%Wm+-ga(&-sVK(Cd1g zCR&{C>->@iqGsW2S3BhQTO4@pQ`~m{+t`BF8PC=W23xK6Zr_&b^;3-_M4+PV=J!HP3 znlIIT0%StFX<+Qrt4!N}62>2Y&k{xTf97&!1SWpWZlj%@oku2A*2|BoE<{|B!4m75Y6{Z9_>e-kn{eL**`_+O!D zw$lGqe|)Rti|BPZ%<_*R#_R;(Hh%N=El`(ZIXO8YU8Mduq4D3|Ni4EEbtx>vGoC)=CT0h06Emz4-O+_w<17x~{QtvcftSB3ZD0Evd|Cz}e@FHQLDpQ(vp^R^p<; z&iH4pOj-ubiQu>$rNe89x9fq3bkSI>QQlS#DS4&v2LZqE(LDBV36P}eTqb7`VsZms z50cx6Eg5~{8%I<2nZmAJYSS+fB11LHHYd=l#XQlQMv~7(Y!;?*Fl&|yj6sgcI~&E1 zeFpUIVvP(1njV~RY&)u&sj`58`1&saF|S1~Dd5JV%y}AkR<8&5P~ItRO^z?07pw`I z+EM`O0o~3ghb-b8eT&Vb4T;fnkGz$>SNX*-WxIKNYv|%jZ4oF;-U(aQ-r8z$dW=huD9$KRPRS017I@Ta}`^MipF zg|e}6bwz8SypHt!y7_x2y+~`h#j$c-S?*FEU(qyUa0Tw)BxP@IE! zrc&QaXJlvo+T)Y;8NCx;w_KZ&VDG~AU6YN$VDGP>+Pjm{C^pZTDXD7{`A+N~{E+EI zKyheqll4de&Rx8oA;UouZlUn9hz8=KpjyV^B&f*P2I0Is3wK3uAr$d13G~4nb`pC? z1S@MgJUoHJqG{C&h6J2B~<)^sXf_EEKRn8Vh?)>-au;t2=Dc!)JgM%*7mJB=(F`7HH?o{BqNqS&KGNR zFiOYkr%aC*6=I|>aksb-)y0VfC@^y1XIJB+DUC+w6p|>d?8^&~bO*)(NZij?@hsjU1BBFrQ~#xpIZ+)FQ|j|mhxcE%V7b2MLz!(P;T3aS(KRQJjIf>#8PMCc`AoU zk?K7vUyVvlm1>P>zB5>qV`mw8t^|uC5oLa6wS5B{AZpe4l@!M`Hhm(ooO8h@v9Xe6 zU8NBRwAt`eVW3%Xk!pwh$p&|T`tjFe>j}w&KfaIJqnu;AwtfCS=Yna|oqPjE)L+kAk{@7zS?-lJo z;K%Br8Y`LfcVncSpvc4eD%pd=1Ecg;>bXF6yT0)nr49IelyE)SwuzyeV z^bil%)*w~xNUYtW?eyM_XfDv}&D3(be~uw@=nK#ipdz}tyKJe2=Rb_@pe2mOAMw?0 z``(%edS$jB<4bQq+nE)X2yUgQP8m@uj-CqTEQE8+?Sva9)-IT89!waGs94;|}-a9gF-3cXnZfl?c z?|ClZvV6N=+iX0&%U?q^C*TjJE?_!OAFYDiqp!l5zjI2Rfq$vJO)+YDw0W~#7-MiB ztR*TXl5wldrCQ~}&6VUX)j_GD&W38OJ(V1RzM9mcOVKUvb}<>O<$`=2J?iUd&_4s^ zzM>29X+2`5B=GFR0MJCv%_Ret<=A))O8{T~ddtGURL0gbt9W>L3Iz%QVcZY?Q1IyA zoKBX2O9G(#k}Xo9>j}j*lOv506KwT-eh&wi0gRYSpX;pv#Wz`l8$s3+I}F5eH9TO6 zjmEbpIc`e}kGS+{{hutvE^dBzE-_{bS-e5FpI_#UrEuBc+hXjL=Uq;a*souHqXki| zewO)vXRVD=r}h>1uYsi)IJ%w;TAQbBx3aosQ$!FDNcMuVAq2piegZU^b8*LY;7Q9M z-ke#MW#^_tDuO7bw;%1M@C6|`nuMJC;XvZS`@uAHP+%$f@!ZcmMAs`s6vdc99@CLs zDewbP4^K^CPJsV?4znZtc2y!RK60K7#t(8+;hyim_ZlS&h8#^bvt z-ot#(v+w5t3G*OvG+2wYBVXY%N1gcMOL0kMYI(;Lm~vXsEQ-wK5>94sv@(s=J#vE6S!X%3)Q7`X-o0?aq)WARGcfVhr*sS-lWQq%BGTAg5}oM8M! z(;J8uypcUbXy%7i7PHExt4ji&fd)2)%%Jkz29PS!=IQaCqAO#b|AEh!$$2TC%9H_O zi|79DC)|O0*K0_XE05RyJlBJ+-`1mUD{3fZ=ORvcj&_{KJk%6uBFL^~9rk=^u9*9I zM&5h_WX@Z83+`eIsnmwEP!ohFb5j<47lA%m`1GkT)jyTXXysuI25X3opi7xU)byMm z{I?7k+W!b+Tf+u;qYNOiM^@axjO|}!aj$S2oSP^`)i>v^-;NqU{2I|RI`2<29Ny+@t87<;mf5q>x~^mT7f{K|vIRn{s;9*9|K7@4u+ zkBV4|VCi48;B60>Ke{1sO|wlO^jw2Ck3MZ03xn+-pKKht(ymN96T4%r;yF(X6FSFC zhTTrN#9U>n9SwGZ6GvBgf{#(0_t`m~z+2Cu)GF0u?p0eH?b^yhQ7!(yt=sO9d*JeRh0+FEYg zZl_dRPTMcqpUf4@r9ggTLKQc9cL|zgXWO|1C_UC-x^KJdL4LP5nWMtq62ACG`uY%m z`Vi<>a*}FK=`CL97iug=iUPD+k2m7O=lX11O9`cKk{Lw3njWcaIhaDLhplGvIN>wN zk4K`KX}9JbpsV9348hO(B&6?w;c~nf+hE>kGOEX`vg*Qh-M2N zrmoy3At6)!XiBaz8UL{}Ht4=JTj%KkvAGgg%Pd_ui0K?BP64meG{ova%C7y(a((i-3-|Kz6ySVru?G8CJe1xdzusTukgo+|dxb zp9+K9bvM1q4nvRbzOU4H9qA}%$+Wp@Qm{R>F!);va>Z59sVd{%H3ti57JSii8EloA zNKBS(y*}4nR8_af`ZW3=pKEd)w_~-CL&tJ&6Vkb|!fhsUc1R(gg8)oafBX8jIIhrWHvEzKYCM^PsM%n@{&?ED zdw0GG6nezsXhP)j-81Q%X-srjfb|9JWpmndX%2p#d(0-&4n$tOup%iwFRv&77THBAQE3`EtA$@VuG>nw#OclH^X6oLE+R ze`0ZvBlz)H6uJYyI8~7_J<+XHKFFQ+oH8P)OJ`T>$)Zz7V<9c+Vs$IDl?ny5R_F~SD{ae(*r$T1zXW*wmbz#urAHF?~F-=tE z^hPqIhs`@YL&~cw_d9SWRL7932ab(dSL!XMaHL1mJe#s`2BA?7wDEGOR_rNvbV}ZK zqqP?2y2j)jEx5D+Eo8;pO}V}??5`*KSZ&ViSi(fVyGfI_fprCz@T2K5J00(3jqZ6E zpRPYwhCwA&tAZNvQ?#F&(de5$(kPAH-8Pfa@_?W3Zqc&j$obVD^s_~?k%c_A#G?Xp zc+c0(df0wsYrsD(W~dWW>o(Dh3CDvl_R=&l>Qw7!#ti>7+M&or@)GjOmAyYm<&S8n zi}Ey9o-y2q0rMTGp>7KUdSdg47@DvO2VsDp0)Q%~UY6SlJkAPhjUc#?uHnI_rArBW zV8?m~gIC2u0>!Qi#tiJ8ER*4f#Are7LH-;_&GH_{1rSEl|6%X@fKiZ*}DPL+#gBu)=~PrVDNF-;nrR)Nz`TxS&O zZ`{b-d_7s-$EbBjxLYriK3Vm#v==rva{&z3CSce!U#QxzzT{y2EG+>GTk6$D4QgTq zGP+sPY2001U1x)|tz)fTUI(+KqdUW~e%sqn0X@!iMj|fjYq6$J9Jw6ne_M_Xx;4fO zRbH%9W^BXE@hY9FSn4}(B>q8u-yTKht6)K7i}l~}Mgh%gIDpXhTxp002<-%mR_9|4 zW;~GK@B{bLw?m9nZe||ims!BOY(p(~w~gHbWh=Z1Za(o5q)C0It}MF~QA+)dahYYf zGybQq={ptMIYYGNhz5R@|5~YMM~N@3ANdP=r4tbc? zQ7%$WX0dtU3_R_5n9!tyMWN1Am|NN>#?$ir*)=7#G%l=rauFrOn;LPEDZ?ap2jc7W zO#OOfxakpQxrYwp@1CByr0{r4?kXzM`8kl5MXNwQpCi?wOwg!V+)n8aYtob9)X}u? z*!JjWWlXtJgzgmZqR(}5GLDEpOIlJ~eE9F?PGC-PHpZQmon86V3&fU}8(d(DeRQ0_ zKEJDsEDYJ3Zd8*@ta!JwNc1;#P286VVduhu)Pb zwm4ILdwD_Dsu&d_%PD)beXn^K+sT{qcusL7iW77L`r|(SYl=3CrTGP*<*oX|bzSj1 z983%=+1FF49aJ)R3;dz*S9YV6Am zG0s1Wy^H7Hh@ZLkR%<=YoE`g;=b0-OrL|B{E~o!_J5n-&pvf8O^}^b9lqwI)deXbg z0R2n`dGyz9A;mjo`>-ZU-~8D2Gy+6;*kTC-R<|re%9OVPW<8Zo*j6kGOn(zg$btobZBS% ztr--iVX5W-AdJA2X>hJwFTme_Z7N^he6H+g01Da0#s*)e&<^EywG`q@5TBIZCUy28 zTHa$Q!SNciy_5IwDj4Z+lAJ&;;GMURtvGQc&LWIPS}U!p_~r~^{5LNIC^+_V+kOsqrw%N7w>+w9LWd3ZE& z7-2Xp&kz5 z4x1+7Bz`v~&`feM2P|9z{z5%yX=Z4Yzaig>hr%!rvqvD0I1X{xrV!pxH0+kW53E*U zuMxF1#wJF-Djj2{h>67G;wX0rwErLJRC#7)d%0FG4-=Et7y(R z@P0VOwr%}3TxXAEAp>y{Y4AFqsM7uvX&46iefgHs9IKYlVG*lpmWGIW!?!@s>Zm1w zeg#1~xc(d%sPR_>7%OUth{!ClN=ofT+h;L3Cux5?Zs zjZhJY{@ zky@>44LGsEqGzTe%q!h-d0KUqG4q=b8!5^VihkT*V!~_eaGR`cd=wtiR&4gcidN9> z&-J1U>6&1fqVW4OZJ@;2^*dR46%ihmjH>HO_DjHdz@66nzJnN#)YbYz2n}`*C>UY4 zhtR$LM11CW#C??Ds`DPO+daIKtU-cPbM^U7v&RCfUgDDvNHw9Df-;Qx($e)Rf|8U) zeS>zHkcjzHqnHbd{+!WGIC1k>XJWG9)1p+28`1zl>*5r(@{lgjC69(-gP>1a7>qR~8r&yWM`PnYgZwKmwz_rX7+ zloM`mbr(Jyw_P*Liik?^md)izVw#JRF@-t@WBc2@=4#cI`Fbs-RG)+@esPE z7kxCkrQ@VVK$Ov!*d&;@UY+LeQT90s#p52o!G|wK)@2mmryxt2u?OP8p zvgIC+j%u}*A$&Sb9}6_<=?j%hcYstgDwWEZ{$mgZtz5nB&4zHUblMI8tgE&kGB7hU z=P6KBKDh{j_Xwa3DUP+H>oP%iE ziw!Bsto94U#Wsb|Qzl1dN93+2KeqmF(0Qseg%V|0QZA*RW5P&O-3dmQUy9oL)=@mI zFVe1Xe!A@ED)uQ*PS76bBgcNueM_9}qs|O-z$_n7&+tVuEz`h&LLO~j_1|z+y9nraIrnK16^vc%gS#6KVGP$DaywER9>&Abm=5iZhk74rDg)kM264 zr^}3u$oHZCId0F%Zko3bKHmV-OCW~rTJNa(#zuTCWIZ=9scUGPzH0dXaMZB&^WNcS zRTU12%nyx3h)6jSVxfw1xHS!t2$lQ# zoh|+AI4@OFB7}GU7`@Eiq@*0)T0e}bMpZ!H`uM|SF+YW|Net!PzI>5bQ_?Ktv{8Fi$qQJKVSh_m+GaaE>V~%8!T!sKF(7^2j zz8o%RYmh+F+2G-7KbhSjkk=d9z=FeeOGGM-dl=9s*ITc@LBiu)>+pep1=+K*vf{W~ zdQGb^_bfqzvY9QS6&Z$a5kz74PU1_a604jE1LS?bo@8<9bx}m?bYIHOqQ^w!_=w1#%J(HxJMd>o?r-=fPI!3ZlEpN3cEwT~JCCOR zAk(X(*}R5FJfh*)xU&OoyLh^`^xgVS0Xs8EOyF+Q-B`6-4^(b}>fZX)SBpH*KuYI} zlgMb_2klWPzo^L6pJ6^e#VZO!nZ|r?ER&j^!XDEBgK@F!jh!TJGH#wsBl62=@zi|= z^ILA6wV`%Zra2;s4OJb@@|7#k%k(qs`fQf?U<=DBP|9{~Jd*wDNT|Dirx=8$Grfj%$@vQA zzqJVG2~^9G&qu8Wz@KDrp}f!ewJ<71Ta_Z^$!0lQu%HzSyV*%FcOG`-bGFjd=^3EmQ+W~Oe4Kus66 z@e^G5^rqUa-sIuew4Lhrjh?d`8tP^bT8mDpLR=(w2a-{`@KdESr@}3RwCl-Qzr-{saUco}U{H({x0b@RA+U zS%z00OEuXJN4w?Y5^Btm#dB!MXh=gLGr7qKXd;TuYK$y)6?5J(GsFEV#dM?kUvP64 zn!W4YgJbuJXFc@Nl)+MXrHIJn4&f9v`BoRr9;Ac|%MV=T8D&1|`3(kyXr9l3eIdfu zd5Y+x=@xYi7F-Wg_WF*d=7X-`$XJ3xhNXgYzlx*P>7#@9-lgKziL~FE$z>h8y}Qv0 zzpi&OwEVMB)2}dpM!n8+(v?$&LPF*#^pu^%$)p6uvO4u6L-|^$4RKv9uq3Jv8Dx#cR&HM>+QAtJtMc zPUf2B z8ZJZ))k;@abrfdv6ZVIqMZX0p{zn2_nF2*~wK~WjfYp1c&N>B>0lLy~N6cQ03y=eZ zN);MiW`rme3xnCSG3)MeGMzvR zWBo{*p7TygKloflW{k58Sa6pxMNwkob?(NFnRN>xK-q73F zV<^A?W=uyaNghKKCz?3e*if}^tWfY#tY(r5YM4@uPJMpck@d~_dOcP6pyMW1o`ty- zsW<%0x+BK&9Q(0zoLFH#U~6xsCK%~B7VsA?v#jp2(9`ts((O{imV z@)JpjIukHhS@RKt&{ufPng-jqKF+7)_;R7h4Ys9frA_fJ z4ZF9yFWOe;O~yc@=*{#?BHvgUzW>vvu@YV_ z-talj1ayoWuUrS7ja9#vz_SUv{baf!W>d?tFTaD;6}buLyw}h0elx0(>|xPkrc$2K zCx5T^gSRO}j1<0vQjYc}G6|`YA$Gg8OAXTCY%jX)%AKlWO>WB3;9+654g8LEOb@#! zjaH6NREr+IW;(KY=39*U8j%slufqH%`ZPr6%Js*8@y&+-{Pn)U-aAHK`Rr`OyT~HP zGLiRF7$HKzDi39`Z8L>E-U?zV9O(0vYe@>M_Ht7-XI%;x@lts>iU;X+wwm{W2=V9I zgi2q3naN%P)e6sy`=!ezoO;au3wajUf5?n!rp3o9l|&(EmfXa^JR|hk4rmKX1F1x< zTwju_F;1;%NfSC8#n=_dh0+$XZIcHZo~9%{xjoK^7sV?8;#RuK$?X^DB%O}R1s0}t$5~-=_-nk6@L~K+$(kc zu&$YPylPs32h=NJ%oD45)w~<-6(#>v!>o!;&#)q#xgke_Yc^dB5DJQPQ zdG~`!opU{X!TQ=z85|vQ%cn_*paQ9NPkl z{UNs()m_SDqjZbRf+yDQ%fx+u$)6`jh?SRzZH&t*hcbh^IDV6<21sD>J@H(cO5+1S zq3!wL1uC<_vs|&XFI=45<1Uyf?C6kOrLPzyOXhj8k8wVY1RoP|KKB3>c8Gp02D5~9si#`1XZnA z30ikIT`{%!f&-S+;KetE=47AzKIL7MskMuvCt16`lpmPhOCs88O|CGaMSoy>%-QQGtdR!2jp#9Lw=6|(ma&olh! zTZgwviGalV?;Y3lWz>a<{6BU9u;Y6Exu3S6LYTd@>LqK0I)N#l$yDAa#R7$NFYwDd zXy~0f4^vZ$*D|AQrjSChS`4V!)#mzOTEojrD(n28hkH-Q3H|^CQr&3V2=Za7NuqwnAUja3ndv#|J8oMw8xTLBE~! zpN9n=+`iicYIF>_yK_F6DNe#Pw6c;0^44q)2dDrlHNE%(!2ffLi<5OWddOW4mmG8qzEM7aik2l8*@8Mx#A={RhHEEZor(@REw7rktzIg+PXbgeK1C>@w^4OTn zKpgETuzozbYQ+|1)=K!l?eIV2Tc?y5KrREatgLJdzP750n2l{-`?0Q$^<=rR7uaF< zTT#+?Kw6xRfnn1diTevDC#SMWU%CRDft?^vEQI$BSDsk#QZM#kAMje%4Dg6YRVE^Mr-u#HGPON6*2)Lr3>bN=j|Pe|BD{G?Pk?d;}uxz_$RDo65P2OQ_KKxb)hqWo}NC- zDE}ohuY=ydw(P^7X~?-!U2X(4BLYZnGBYy)iUmhVNXVeUK>?7B5D^gpIC8d5X|aAS z)8EvmE9i;u$)qkRo7Oi#N|&QiyggH$s{m&b|L@)VgW@(2Pw-wOjYure+du53F#Sui zYq60@-d*#NlaoKh!GQy5m8X{m|p8s>v2_8fkpSLfd) znVBn@cwTFOT8{#kv)xcuGfkqz6r|AlEKe7|%_XrRrAY<)l@kyAVaG`^3BNeLI2{r& z-*yUmq9V9RBA?kQihbwEbu_CsPM30H^NBs7+}vK)$O-)&V!VwL@`H>fO(*}n=Rhy% zltDl&B(&563|h^CMQY}OUxi2e64t8{#Rk%W19o)2P9IFG`mhozemqdlzT6xuC?IiP zV{0rdd(HZWBeWe+xiTu}w#yffUCX4|>b-fbqEaBGT&m$FMOdcj6Gu)bJy2r&kn?gq z#U))-sLx)8nIoblmiRdNC#sRSK_x&Rl2oCLrkT6v&LgDJ#Q>>8zaZ?G4-(`Q=dQ)b zZf+?L4%H^l7ZqPY2*Vqv5_H$B?Dz0hBc_STxp&FV5mNA;}ujR)ThHDz{iM zf&x6X+9dwFOcc!J45xjVpBgL{k3lP}g6YO1tJd@q?oO^+7rYJEvrUBdQ;Je>4JW;M^?XJ{v*C+;t)a}I)> zJ!U+t12Z)I5_Y@V$v;gJve2eSjAoJjfk}S znmyjm3#5TiRuh?v%P$T_w6BCk&=hf7y#?y{>2hbkYvP4=hF-2~koisluhh!J8(BSxs|lb3O|VD`Z7 z26lU%W}yl&KsM^F`|fC^sbn<0WM;E6YNMkdxPc61T~c~ zBf32irHmB%wfS1x%#Hlp@l~%*%{V+hA!py7GrhO7aEEma=4fh8)ul}1t0sxAv)vkQ zdP&019T3UMQLJ_bNV2PI>8% z;*G`9zXeh>9j^+>&^61XfI`>in#~Y`iF7Jj^MbTsInfFN<6lv#Nfw%O5p2{<*;Kg1Z1@W$V`GdvLrY?4@^?h>TU+wLJeq?r`y7gpKdU2S!K zsEz{zx8DiL(6`GJL+IBRiq#Q<2M^}gT0aRt5u$f?{3W!IReLXqOPQtJw`^nU&demU zuy@TY-bRz8vr?!kAiiSHsq>bPBTIcrJR2B`bf`_QSXX>PrD0bzRkP|ET1ak-)kOJbpD9KSUm=@9ltNc;RFt8xgj^Z2hZ!|KDEw{AdenJMtHOSphWim_ zuc(L%NG)Fp3nv3UMr!2-0g?*e2FN!67&ElN zaemj&AA?Z#K0EloGiO0lh{9pzNpu&LxtK!(NeTmSEioyFH|M=+7Gp ztj8y&mb`l z4@PmWA9$#MU?%m(m^>ddEhB+@t!#|nPFoWTFTB;MqC(08P?iU4Sx2I*vXH2K#p_Kh zrzpM0?bv1)6IXe{<{zDE$nPU5$n18f;}z;a*yMB}`!s1GUuZaS;1Xv33$WMuXu zG_zIlpj`YW9uI^QPYPC#JDRk(RP4-;kcvleROM=f&(JQ-{sn&a74*U342lYrW%MqL z(9rd!RWhm%<6s&pMFvpMf4s~qk%PP2LtpBI-%wXZyEk|0>*^T3o!9i2(hWazl694F z$lTgeF7d%yC`roEi?DM*@`e5aw$|z&OXOS_>=YayT3ej#nKJozV~8n8INUH>pXIMpxttQ z>@_7ci<76C+HC&1Nkre1ll+HzOycu9iEPS~BFA2HEI@%1n}-vloVY}>n(k6@GjC5o z$Oo-|(}{FDPE+0K;B1QT7BCz;ZLx3I2U#{-wUWxWI&2xN;z|T%bxNPl&OP7z8bf{5!sS}&4C&Lcq&PAG2 zFQVt>v5^{dVoNEU(1vwAGSBXkpo4p(T&RhcUW>QGA?)w=f<4w(VbzO#Z5LPi1J{U8r zZn77rvd^l8=y!YB`D$KOfV9_S?kd^ zvao1DBLa$`9aY0p#Dce=DJd60q$ih(!&|g!Y5dj<~s|= z*jIGlUiiuFNQ@|_g*`p($n2s1qh$1}7GsV=z8}u`6nIz$x%V#n=YgkmQ{za?$^*#s zkol(O!~A@aCyggtm9Lj3Z#v7BsFom&rza0zta>;TxGbnsxc3hK4#~TUIm{6F=aH`N zsIW69nXc-uakvO~O|1QaQ^nrGAzxPXHH&U%Z(ANzSR%}`hBgap@ougpXcb+}wvYWz zqd{0fe=V=SCs#pPdVjy9F>3JlBR(9%Kxa)z+!2Opa}$Dl;r$E@t7?mQ^0;@Ea+CJg z?by)F9E6H!`e4hF82ot)Y1UTOK^?x&H}15BR7n3(^Y*~$aRXykUu&%$eJj$ht2?9c zW74*@m*#FJGwznN(+8X&jct*wsU_eKjYFtbMbZrkqm2;1?sT?;Sx2-;?Mea2jt(ZijbnlM_(+J@^bG+k9VcVW8H|XvVLi~ zYyaS)nv0IT206Fxga&cXf43mC+emfPJNH@<{>i5(NvC!l$yTq z%y%mL*Cs~9#r?)s{0oH(EURk z=WV`oFp%(a+2tnAaz=+mc9PRHr_R59YpGUvW_}g18@v4HjiO~1{O*#ne+zrfhFJ6Q z9g@ZAW^QG!ostcQdV*1$<>ux&f3YpZ!*?m~x=jHBp;Pj)*NBWaWJQPRiRHFEI4U2z z3~FviU%ukxA_Bka-?kM)(yZ+ypTQ|h+I_2!72tu%B za0+H>O|O_8UyJ2kC#zU_@K00{iFIMc=DRFNkZF_jO|Ue}#c#ucKkpvpXH+aq_UznM z3ZPrg*bLV(EpVysta&Wu!&doo)ijrkH~)-V3u-v5`;K?#dY%6fVv@fI_(wJk2JOe_PZ?n?w2?z9Ofmr;$MRR$<)QVMh)wQ2RM>`&2aler}AW zHcRG3m07UH7xGs`WIsoQA=>0tMHzb{Zw^HdZpx{hC|r+m1v8;qbSGRwI{SQ)cR7(8 zAF{PR?WuR+V#A;jQYo0b7wZpNV-K`44<+OtalJ9PmmDvZR7pc0;ZWwRhIqF1r&B)n zeM)uJ`@viru9LL1l*XQao|T}|6@EaY9-CwcmA>m#;Dw3C(PTv)MhZ7d8b>pUM8#r4 zH0*BQjFZGZHaKEdWLM&U0^t)v|JRANXUoHaBJImsE>>e1?dS?zQ|1cw?%(F|R+%GH zw2VfZ%zuEV>6|?mm8e87*c}3y<1uI?r8mIEbDA=4UpISTn;TMGv!Xx~n6cB_%zNp> zuTb1$jEnVR5JiQarc(o7={9vPC;v?FG2uk(cTCSTTLDNeWZFR=#(HxI47T4MW4{K1 zrtJQT@0mRG!skCF?W}!DB2iuY?l`U~M6XOseNWM29bKsA0o`uaiDJf>q-)tOG$z@n zc~z{2c}Y@r-DDXy%G7=fxn1ileaCM?OG|t2TX?v4_I{dxeP5GH2>1Xfos~Am0Q#<@ z?Xg!&kgbg2D$gZIsJPE*l|?^6i`z~trAeMV5!1)yUjQchn1BEQWEW+IjnRPjiaPK@ zD!*-P>#(?70uM^vvh3Eb{@(me6}K6vs=T>=ZaZU|StExea_Ngeqk0^1ZYwyEDk(@O zclCW=&V5xeG3R@*f&_KZ`7Q4b?OxTT+;O0HA&qjx!0GK0ehwxMow@ zG8Y<&*&uN1xdnTZ$quKa<;nJ%8KO@J^zSOYk2<0LTetfC%;Im?ljro~>gRl2eaHC@ zj_rwKo5Vd>J(ERFuiO`w;meW=b}i#Vcp`F5VUVA(*cMQ(c7R$)cygtCZe78<7(vOgW4^| z>ubj{@pR`3bzI$2BGkxQ>$JMffjm+jC zY|SDKoo4_+xo!iZBAoU%G`ZrgSV_>1wNmR zciTS!*G7+Y(lqo}mz=H#^Kwg4=}l^L>rXW{1u>rw++v$nFKmB|=_T?mj$otjq=6Hu zM2ig=3V~FNaFz?PVR2`wYvPb&mFj5slQr-95|y5Wcexlr6DDpV3e;}96v3s1 zlXZUUw}DuSY46QroiD>&z%BW-gKp+ZLL31^$1_*n&wvVegd`%Um~Jhz0QipI_t zJQL>+Ho?+y>53C!rNWKnxfBQE6*pGioB0Q!@Z7=J}8k}pon@vQd z2shGCs{(IlF1$bKUfSwA>dujfni5Kxc1y_~A|}Pr+3G>YZKY=|SuRdwz!F>x=mjff zYmA>JRX6Fd{+6WYhQ@`k12MAk{L~blr=xD@M3Jz0xV%rb0(eF&W@&`=Z1s| z-iObX?Wim}=>CCy^E_#AandA7sAv4qe@v}h*)`Kl4wMxvJAoCbd)mB}8d!;Qs$Vg? z$5%0%S!T31RdoNP$lSr1 zGx;!umA>6Vum-KKxSD=4iHm+?koPZB<|6)_2P4zIgR?2rSVgz`LJXCQ%+9R`JY?DZ zm97D2`gY3u!725O>Oi!yb`#Pxb+oyBi&4%@lJlQ_Ebblb9U+Ohj$D=x`-n7mq;M}!I*OZW7)%69Vc z@bmV=Og^k!k7&&bhaE}!OAUaosw=f0q0DFjN{=%&k5sEcXC@xa!1E%0!g+BN`3oeZ z>9P7o1E`KHyHgcT3ApU*Weo*(j4YrsQjkS0mbeMietkFj0cNWj-+=I*7>sxnL?VxWanAZWL;r|R)M0n?T>1p z9uaI&Y9Q?C@au#FhL3*>VJ4eWEtt{0`8MN@8yb>uNHv>+6VdS9mm9^lD8woW(lE(n zoI$;P-(NB6JJz3`T%DO$By1NAiP=bg$W;k3@Sr$7d1q^;a=zIXaNQe$E9nv?C&#U6 z|K|;tvZ0*fXBx|XcP4?inXUR$QdR8xVdGtq+mSVwzo*vYDQAB?LP~6oyBX^nqazMv zOxsmQ1toKrPu{jExD)=8?nH_Sdj#u5NFen3nzel*4_a0<8o)}HX3+H{;YPL-$1v-R z8Y6@Dn5NKG(&B=E5mLJ@y5oN?42v4jcx<=AAuG$bz1cdpz9IEnQ+4h(u^P1#xi9lV zklr63bSz3;1k=Y+5%uR97rNLQ$1%_%*CpjWM{*QCt}exPvPd-G0o|d;cW3t-HX}65 z7p}yXz##)-9WJB@&kUg2Thw`O0Ugm(b(Nt>=a&{^CYaLs84`W# z{)i6mR_+)fuBXi&y8a6)mWsif+aQe>)X|G)Qv}YC@mHn};ria6pAxa(_1OO7WE0Re z22S>ATI0Wdpb^;h?ec~`ZY%c}G5-J5Ziq+1yM(ij^PjC6s!R6HEc^REni?d*F0? zEb1Nz*PJGfvur-sp_c5Qnor?$@BbX4?<1^XZwC^i(v^uzg?3Bdrf1e9_EZ%OJH{s> zv?wujjBkbB?c2yrjD#Ac-{G8@elmN6F-qq`5KL)hjpJ2L3A`^}K^Ie}XViqua6oJu zcEAp8#xpwBbtWby!1T<<$hIJwqpiIpd-=iGq&;sjqlmk<5u?<`&ERoF=B;bDYsUOU z!AzlXHP_C2SNVtU*>6{W^DY`iNu3O7p2QRzQ8x#D$H&R^mqU?z1uWdF4)0?q zjH=GLs^E6RgcPLxARbprb$MlbqF%-ta;+G;EZGkoN~u5Tf4(ROv%o;S*4Xa+Ys98^ zoR$49M05}Yf?An#cxR3FIl$*8=^hvnr%RHQU*=S|iC5NcJfm%|WtE%|`YNIDt zB+Tp1sjd$#KjVd#YXdbSzvvO>?H=t@OOeK<`D5%%*-Y)*9&?nnX@9&Dq(cOSZ}DpmeIq;p`-|B_j_bJZ%Ar{YTG_vl z-HBfQGq~(o40*DB#4VdFo`~yc1Y@CeaM9C3v{=jsM00_tV2sM*%5Z$W_m)9~a+byV z{_xaWprIwuu^Z*n*G%p^ki}Y2^Hb=|w{FrUCj3@oyUI8H^$7znQLQ*d|}}s}%kPmMpQYx|ji zo%Zqn5C4Vt|9CTmHUhw_|1TCTy?@D%nd2`!!s+pP%ai!y?n=qoU!u#sWc(c9O#Vz9 zWyLKkyeVE4VBYxqaw~TIU&dte{093kxe}goXY!XABPAgC`>;jm#sPSk*P&+c_owYP zlcoMXy?f*+^Y^Db5T5s4mB<}>U6P`;XWD7lHS`FP#lAU!>sm z|Hrj^fhU;qAIRJPAYuS;X4d^LjP3_c9k0Vo-v2;%z^C)?zxab9Z)@^DU;AInA@e^8 zD^J`dmb>CU`&z4!Q5$}TM)QSq$Wt>w!@+MqwRiHFSWUYq z>~fJ%y@lcfHE^8$rp>!UktzH0=A)gY|iA?8@X95ZJ%uS_66mnzs^MV)JDbI(!;GJ0?OQT2dyCmt~CWsrJ zJy4q|ekRRKkfRcpIzv&jwUlvHW^zgGb9X7EdgOYn_(I7eeMLq7VX$NQ_V`bR8^fsq zv84Om$Q_~ZN_n~h$v6`r2zS5B#-{^Er?ZfB$^6fRnLOtFA zsdIdlJe{N1Kp;vmTUiMwEeShLE;K7VU>)Fa+Q*w{zzIkk&r8x zQ41LFCgujf2m1m<3qgmQs8I02w5~BVJiCA!EA6JD`gFkZYnO!!`)8%;OUsL&@3C{Q z1OyBXsjULU!=h;oEUc}E(CdYie833r%B5i*XgM`Ai_Y-;wl#pPbT@t!_rJB3@Vjyw zaiM2aoJ1_O|I}3p(2;vUSG&=}c_7=PIWYK@i>!Uyw04H?E+!Nuu@)NV*>oaIfKx9r zqSVZr)4{ESU<-6ykA-iy90*JA#^*^x2;&MClXDxT^juf|x?ZZy^u_+Ax;x*eSR=MZ zM?U!ry9FDXjS1`NkGG{Wze>~T8SIMuS>!dxbt&54L|bxxs2yqm09jaN)KkAK-RLn#`nA3k`)l44X1ay8yJ4?QyQISYa}!c_)313!GSMjEKEN1B zepn-VmaJht@Cjf%TK6bXCvoAlb7VKA^O^I7Q|1N$cHhHX(yG60$yJVI9JzaDTX_4& z#plB+gWk!_;0q%XBB}8bZocKx!RhWcZza-Tqp?1@IRBG}#mt^Q&jih1)1qHn^>v{-a88_b46^ug`;=XLf zg#@w3Tb0QdIz51y%KPjWmRlfL6lknKw8Y#}zSaLd_d=QMtFq9K44W$+vA0HH;~mcu zX|Hmq&hXLjkoN|5beoS0xHCRp*lp_Z`%$8+(N8Zoq!XReRT~>GiAl)PEZWA&6sy5- zC&8PN<>ZzCUC$p*R!)6g%LwzWPeVr{?2qvvAK`*gDa{VJ2n6D~9nz?Pak*7_lk2~r zg0$;+YHyeX_N1%v>UZHc;0!dNHmT!hGmX@?SenLz=WLdqT!pDBW}97@V+G0d9j#uE zoHvo1>nu+JZkN@c`=5kxEe`gD(f@21NXshz7n2lo_qMNnw$n_vmF5GpKb9indptqv zsP%~ox(+XKw0oBu!=3^*gG^4Iw+xSZy;^^&+ox?%noc~&YGO` zlFnAW??6YdxtmV_`suet#|uF&iO#sAu18!n%GGT7Ge;*>vF0Q;qL+Ss*Qbn{29Ymc zz6EAmqHuekH}B$A&^8a$WP@3?dVZWS9ru*yG2>ls7$v3-Ui_mbd(#p+r5(<dgKfu-CJSEmFc*$jl~G`I(svFHOGb~O$_FP-PI~VA zpD#N}Dwr!$JxHTGn4XxbFi|Ww&`vq;r0nVG-@H&*=&8F2L_5GMwFcPkx-Sod`%&27votgoc* z-c4Ks9w|jHOGPApsaJd+1wMqnl9+YL^sp3vuD_flO60;J;Sn(a%=v6LRshX!=V{4; zL{*&~Vin*SahNlDKD%yp1KmTb8ACE*&pV!oyY@WMWvT=|s;!l%(8!CM=lg6|Z%XtT z55%I)#%`5l`j|29g>Rc?O7tfyi{H257lLY$M}AAC24b+I+zK6n%6wB|%-KsizeZdn z6`3>LA_b`;gTL2ll;aR@FWNwmEV$WBT%*WSF5FilXeNLFV*`a1;m)t~=TIc(M_`e>bguyQG)^0mlJr-ls_q>S#PVs@cP$O4{%UgtGemi};U7AQq&p)+~_8$obE)z1)p zoIZ*Ji_QFq5@!UrqKEE6trfVZeA{COMjtQH&ZQJnTk&>`uyh@SQZ9Nru`Vionq9RR z2cgkRNe?&>k;p*zjPx&7GGauV7|v=a#+6C=zbb;?|7gr8sB+)iC1qh zlFVaqczpaBX!%z%nyTtGpn?&%j4+?D{adk zZjTLBlR8i}=D+Q7(H!L*Xs(0a!4LM$Zl~d6j#Ldraw*{*$Bul-r4$wSoOcf?7uv!{ zt@Q}wgiHd?w_aO{Wu%N1l40QwUVTrjSWRlT-d?Oreg6tR2E~;VWpA&l$AN-{UdJX_ zw0!nIy-|@Yn?zi{xi&827`}JtR%3m9L~GPcuXqxh$u!bWVq(!s93b+K;VZW-ng3w7 zq~kt&Rgh(j1|IG+KR!RwHBNu9#l!wN0=RXw^p$FaO*5lN+z-WsBvO+oxewMHOK6S$ zkzOB^p>IiMzJO5v2O-9tFLN@ksanwH*z{J;u_X!HdaP6MIdL$UT47BdF}H>Cn17wmv(U^_iYE=Ly2&+n=y9C zl2^H5;Uhp)@Y64J>G~$d=`|oN@Lyx+NGchf+yA~>~ z%et=fjS@9AwOJUSR#7J5k+B50a|;R$!_pTiY)q!uYtQODTy)0;4E#miBYGzI%Z5ja z_BQhk@rbtXh$N9$r`%nH*7&v?zau%5_4|4E@#0cfv{O2bhm>SnGt zLb=YB1i~?Uj@RIP;w>}rFiG#k&|GV)N6f|@AJDXtpNu=Hp7cXE75o)-xuv5J^~o2j zy6IPEPqC&|Ow9iL*sR-yhj2y+QbkSsf08rrvPc&CENH7gSZ#)pT~+Uj3-$c!%zf~_ zd5-M-7XIP-s?|wmG^%#`VrQ6*%F}MJ0Gs+_Dg~xxe^jhRb+Ez|YxJQBu)#0}pg0c? z?mTLbr!2;8V=|Jmn3WK81{-Pew4&0&( z|5e%VpRe93d)+R$HHI%GhR!mqDhBL3CrWi=fR-!~g|%0xZ0Tf;)d~3YY!zMNW~l+A zo5WKQ2R{#7<$$vLf91|>Ne(a7vNMbUDbQ#9IlC_yG)!)5)boTf1>M(NYgZYM8wh3Y~lm|m40 zE_kk?0T=PZ+#4y4pTGmD*ONZ^Q=Hy@a~*Nl&x7Web@_Tmt&^w0BlOO*->q$C79!n_E3Qba1JGT;rhr!~<5?+tw+j`Se7NY- zmJe558(b}X#lFU1-n8Qx9Ijlt^&AxgnyT^o#nB#OZxDU}sukOv4Pap8%z!rr+L}}+ zn|MVi_A1CLZ0;?7-#S=#ak#H^D>8I-GN@5pWN&pIdk@6dQhr;615SvIpME3Ou3gFm zNJnaYV807@d})4XOEcSGP9tKbQjRa48yTfP=h>~LX|%mk!CTs&38`K$d`3%)QQU!Y zF)DZO;1Kb%@03t1<;1f;Dc(uP3+Md?zES5OG$-CM`4Di9!O@PW+3yZX!JnSl(CXW7 zd#4QR;@Hs}$=iV{C>p#id_X_eR^~rDo6|<|gw-~^{cPX`^yE7WolGA*x558nsWzH> zKD6=opnPS%PN^kgd5dM$LACNNFmX7HgA{?#o2>Y_KzD=u+GH%JHm7HyU7IuJ)evRB z%3sF3IwW{#bATHN(}o7Ck=499Fui&EV)ImdoFS*$ue4!@_lI&q-z0E>H@dP5qt=tZ zJ+C-7F7Sq@Bfr(x>hhJ|@dIl&t}`p%0zr9VBjq545Daq(%VR41q&u^eck#|LWW1Jt zr}3EjVn+z}vq~-Zn8T7k73kxPcd}Ftm=Ob5nmBGie0=z9 z$6pINEerr`>0eRW(o)|R<0e^tEj2C}FR-tW>ErYp4e~$DFD+&}go=jcZ-?Yn3v`r@ z`Zn{7g)1l=OvGmCwG7d!y1WdUSTd zNrOK#bRt!*J37aKeN6Hn2~jsfl8N{Cd?H+ zR#XBL*Pb*nKH8=t)?s|Qm8YLDMO&HY;1XNYqYx7&7nd3`XLu*2xA`eBC9wRxm%ocA z*m5f*>%whA4saH`R)OMyxi@>)eX?!FPqxH@u|w4Iyr4qaIZ_OdTRaG{lolHF@O%kDjbW%Qlsq#gZ#)d92cBxOkjArUJdWw|u&Fo5 zA&H$`^UT<{291^bL*Q0j-)b!Vn!!S&KOI`#uedro`a3efRK_liB$!X}(=Gs#01B|pQk&RG&Y2WS)!dblf#nS!qWSSm1$fU%_`0DPh+#=(Z z&2@LDuipyQAAKj9q7f~J1MMu^ayE^b-IImK{?8~YMVD#zkGmqsr^@48xVsJu&gw^P zusBAvBJ~1--qtpZ+CX(WZnx4+{A(_+#{IY?BR~5h*^1&JLY;F9^Z5C}BCPi=x8w%J zjYS;PhtJ*L$KK%|@S~J^2$5q2)QI;aB!J`yAFO)At8WX67+fL;a|@Ad{`#)V3X+P7 zw|IH)cM}B+BH<<@FML+9Bm26jd{WC!EtqcI$E6qLYIWX@{9+{Ln|UVZ-ree^{#Tfc z`4GTS#v#%&Quk_@^c2c6JUk}5OZZ_*X2akIx&GAud13>HtIr_MjxB8Q?d(ZU0S1(C#dt97yU)u<{mjB|p2LV?9oZ%W&CjF@ z@i#+RC7%(In;k-YKZ;F5ci++s509{zR0vyi(ki)m@rO2UjXZvbMqI$~sUQ7~Yp>7I ze@8wwF8dpT&YiWiNU;Fj9+c-c4#vR1z+zBmW90=z&%E59OSOH(J;Q1>^pI@2jv8NY zaVSw_I#aW`SU)**s3LTXzuj5w;lYfxTf9HbT0YzPBBapj#&#CwPax`JxE3|c{PCO8 zuf8d!elI}Dn`nn8L4Qd`5WK%5+Qz&Lx{SWv4{=5A(&nON14JTo7~7sN-+|$uUr0Nc z^I{3w-Qc~kS6aLhekJWt8~#oC)72mQV_O}3A7mkBk%5;yMelH$hwZ$Hw-jX0uuiPk zv@aY;?r65&Ls(VAf3ql`(0&k*MOWIXr|K>1tu-4W`XIUe9gVU%?rH#SZ@DQoam6z8 zHAr$egO)|2TrzcnKYl9l(bWhc!Knv8IEn{!-|rh-n%lmw^v5Nv$T2F3aCStr@jh4y z3>;cB!WId|aW*dmcm9Cn?!+3P!j|HnlE!kGH{X`S zh||iDCslu@9)KLPk>XLRJPzkFOuM@&)uLRZ1(Bldr5Da39KhHKCz6!pu06q)VA!y> zVmKMJIUR;q{imgFR?likwePCwbN5?b-uIr-{xxV}M>a2bp_46_c;x5V-$ODz%ot_s zZgr_rm4%-rjU@HqoBQ}8ma@&IVen3_(H`UyJNSIDFc^p!2Nl!eKkhAuvP{%I_#=cO zYCL<+#*7p0EBMgSfC{&?t+m+N5hQKiaE&91 zADlK8uhbw(y=7MRq#nTv7uMK$`LX`%{8rjaQY5$EkLS14_2$jS@~Cab)swdz#qBIW z(qF6BNs_*ufOk`fOk-B&X6^R?e-%adtVLj}EhU5W??T63q-{wZ? z{sU-wYwf4G0PS)Q0AKQT|~04qcY&CI`4;VCE}_p0{FmXmr=}?D02RL)27?@@lH#60Y?JBJFaptfG(fKlHvyc zzEjH9`uby$oiu#dY`(AT%H`En1O3XxkHT&pU{u2pBG-OLs6;4>Fvaef^~OfF8}(?4 zDMk6}ilm%t7SSty%DY$CeW)t-tlF9#ghkSrO}+1EUWtj9LFz%kij8$|; zzR@=cj8M(`v3m>u8wrj*ZI<|E;c4Er=fjOd1FeFup!=#xxe6+|8*SO~sgjY$L9f3i zUWbhj5-az8$nla0mO>v3TZXVk!92BCM(wgX@8^$y?2Y|mnyXQ4Gj&JX2f7Xq26DJQ z^bjm6%}`Y(-{{Wcx&rAhiqF2$6lHB@=udS`V8-*rxATgFo?~Hfj)>NU*Oi1xC^ErO zF&}M#ZmZdUQg5K#>A!ffnRFua;lozbVpaByu;(rD)#;XUWltQ(hTHSV;6kh80e;S% z!JqXKRAWZ(}#wC;Sz zDB(n`#Isc>)Cye;7_R@$g77Q{txZsCu<$}#(@S=A^&on086+9G07Zd+Vy53)0t(vVfH*D#`k&S&Q8Rxu++f?9#F9QQldqrJBRGPU&>C`;1X_&%0YIcE(!P zEv>ATr%E&}b6cgeGI{#t6tlal9?-FH!|5n-5MLOj+Zs8Bi~chk zAlgFr#_*&zH16P}Q%T%ZH4rQQzza?W6g6&)Q6L6%?oo?Z;oG(xmJD8*xE zee_6pm*%NbNN)0y8eDiN+7BN|KsnxeL?C0#G397G;25FLN-vMp4pYoG3sxbw^+ag-v? zHuaU88MXxIkXS0xa6ul*P?d6dVcXQ;la|O`*=Zi}<1U~XVdv&mHD^#Rq$|L@W4i-{ zLUdSnuPDxeoBdmSWEZea>ZnKWC_CYEQCv~EI-b?2@`vws`hKdB|IcM7wPHj_-(_V=S& zTSeIt!X^AJtK4=pTHKK#m6eqy>404vdMhh{*X!_;7TaP~5zxMurtDowK#6OKGwuSrs?LjMMLE!z~kin@zF%2lgi^$~l1shz!$o7m2$618`$ z^uz%v(!15-Sjm%4;o6-pHd2A|dWV#A1N}_Ocl7oRE}vs=+vb3NWFFM8UXA4#Rp(8H z**J(w&%(^rSn%b%vJi&I2dvU70hAgMAp3XNb2xVzaR3UCzdSV)s}8WUe9mgxGHBIU z$rgOdmZbrs?gPIkLj5%BA+mig;@dp!sX78JrukCuOMXDKZFi_RqBuy+aTUJ2w1JPS zQ@}xw^({GGC)jN0JB3k3XcR{@69w$-q?@0_2@AP_>+u?k-W#~lR2Npnc}X|YgPDCe z04+8~NMgb8`P()p?%ONqcCfaicG^)?>GSJMBfo{ri}dM1PP^FWB(RY-jn z4PMaYV?3NX8{>@oKym?2$ad$&E8H0&a;b2R z9DzjeL2`y#z=6In<@2NEjM3;R#Xjq95j7$s)x!T+ms!G%FQ~v$j7N9VPeK!govWb>zrqxNv`gCV{ zz20y-TXEg)Q73Jq`GHtd0!B(!z;J>|f+@O`IZNWp3r>NkU-tLBu67Il5%Fmub`xc( zUA^of>r|SspT`2sNptA8#Ku=GZF1?eC-ZVy;vJWqUoI-sDtlGErvci4MQwxMJ#IGO ztG)kpee@(zO-pvE&GBNCSA0j}OYJDr=U=v`HbW*$V%6e~duwtg#C(=9fmb?RLMK4= zfB1Uqs5bhof14Tz7aaMvKkp)JLVwYUW+?(UZ2MT2W_cL}b);eO7! z@8_)dIqyGVu}U+uW+s#G?0xO)Gr_?xx+l7aXt2C)DB#TxfclXcuZ0`-Avir!`+)-f zud{cX6KND#1<~0-uFw50ia>0LH23v2etyBmgtox>-x5(rBffSm**gIJsQ?UU15#ki zFCc^8D8#&0?@Pc<_tr(goegMg%0KODU!LyDLIqv8D575C;dKCd>^uM#eT0V7hv)(f zE{8`)MnJiqhGyk`I^Lu>PQvnRtL z9!*T=WPR?%wm{XM%W#~qubgL27m=K&TR>$V0Y!5zc<o7GVp{fEYZBhMx~Sol;HsZo$6x@-tC^xcMSA={Vt*B80xv%yqBD> z-FI-7rOK30zxfnKUTg7;UXU_jm|S4~qlZ>Y%dcbsPo@1TbNJhx-Cc{>t)jl&WGERh z1IOlhO5W#gPGmJv+zFK3Qk&$9tPrp}j;@Ymxt3u$2^YBdP6JuCua}*_p}D1`1PINK zpH~>e*tB>lmE@Az6$jz|EkXIMX^psh?A&@8kBZW4SHjK2*JGs9>Vr>KPE5oC>{jQs z2EgC%%U)vV_)So39Yw7^7Z?g=L_`E-}{o`RV~`Xv)o@G8#Rv zvQ6>MS6jC@Y%fu_{PFg#*fOny?#?m~Kd>`$v3wP}tvLo0;6U4^2NId&Q;J!Q_AL}I z1o4j5Uk?=DNbMgD^+lZYa9Rsl1BG(gg)tNq@;RT+aV4N?oJ-_D?Cl#+_)YZ8I|R?`5vU`Q2|mp4&Z?=^gGC`HDF8M0S;xV&655uvmz zx!Ht&qX=4e8@j{itb*C)YwWI7T{ti1)VgiNUGXN4zNTXNn%kvB*PG<#bd%!=PQAye zcW1=B)0$+mj22t{f!s>}FcJ`#@2wZmMrm$t4kZDF1G6S+f8x)Mrp!}+{`m15sCpl- z@n~sjaRRjVJ;n{BUIXp3PU~*jqi`3^hzsI^7X2R{&II|9t7R4^qTNZp<08vywqZRP z42h)%m5?Dx4Gf?1g(y0XOFQN`%*KG|hy^uw_ zr_5)mrmBIcxvYIbvT}<6vI8E#@o4k27scvomGiF&S(JGF`_JhKVXXsZo9}suXn+25 z@}xgsVd2W%IZx%8R%iY8_kC-EF<`#Zo2$m?Ixva`ps;yfOZ{bJB28N6t*N!Ynk9SW z!*|lX8?+5#zAu|G1ETPWWZU;t_^b2%ow`tU;YV^43#qQkhBqePy~iSg^l}_5G|@|b zLfuO(FuTu8CJzc~-H(_iBJ_=ZyJk!ZTk{?&K`KdZM1wgGNwq8JorKPm!SPy&kUK{d zloGAJ1fz5$gF^RCXq|>^FV7X!(^xYe=G7km1q&aMmv17NBp{VOVG;4% zMjzW8vA|A2he?VDc4J1mwG;zA%OJwB#urvjc#!Tqg!?N$4MQDLTb8nF4&Xz?#9ttnFfT(nT~^4?`*`XGGjCz%;a)bJ#CQgQ{6SVuGFf@O+Ou9keg0S40~A zNDv7W=_|V#8Egy77}TOiJzFxRn%zo_R<>XVx9+HHcO-Jxw=Xp(ioT94?0sXOf3x*y zM4qu{Z>yVGS8xxW`y{p0V_as5%Gll4*%c6yPF1X>_U$%$HE~vOP%o6*Wx|2J*}2h4 zT#}~#L0s=zP-au=%hf0l&)fKL$ zHY%j_CGzJLScD=vm!J_J8XRB6cuMzKRnnaNp{O@+)Xu%fg@Sz^2SY5r+Wqjk6U3LF zqaQ=OkT-dnzZAn!FdaSGmPBdH;J9^hlPeU~*(j|sY_I=jRSzFIZTmsw1T-DrSO@l8 z8V2Ut0S@R8v+KUKZ$xDbEYax?IS+Sqk;gwn=9=f?b>f}YkI0NNjDq{eXNs!Fu~U5< zt{yy?c!V-pW`<_(d%&mS3+<_YvJG@J(%s|MM(w~!_L5%IPVYJ}l`K}}x>Y#+Lg5YG z_!U;zr8|Qprq9_cl@>FvuLu}D`5vV)=@BIzI-LYOGB+2o!$CoJ>e^n4F8ba-Y43R5 zyaH2?YV7|*{VCLrmU4@~N?g2{Y1v%z_&&%xu%U)ze|$5A zNWB3fj~c!yo99S7Xi=HW?-nUB68D@qQz!N|kQFmez26NpbDwWiC*fQo`RZUkZhEdv-nOyJr7J%Zjgj*Cx9cMiuJ0u3 zXYVEqRm2eq z&)u6-`P<(cqP)bcN!P`PSBC`%UsAuOD%yT#d}GaR;>o6!46U6x{R8EhN3WPxej^0* zhs)ksN6XN5g+q;Y&hvovppa9Nw#Eww5@5dZ;KdWKnoReK4ANdJkhi84)x|mB>ei~1o zMs$n~e7ED39nMMFLkQwM>r5L9jGz8RM^^BvHx#*kfuf#T+tL)oue&qqT&(`p2fJru z)qG<0N^Wwgi{hP*5<&=AyMF4mh$d9X?!5JvtHLsb-CSJd>zl6n$tv5gBR|OFJ@F_{3<;HByRWUn7I`ww zFQ^Vz?bRnIX9it|QLL(p{gi(#OeYi+URyoE-4|w!$SzC`4~b)LBld|VQZIXJI!7@E zHCheH7_+GLx_+^}R!GOtTZta=BE^g27YJ`#P5hVY(ZZT{^=+wt)ZKF_oAs;^za|BM2YA!L%(tVqdIVYG z-7zB?nzv()U&~2Tfx?&k^Af6K>p}R2DAQO``_8;M_pj~8*NVcste?&x>utdl%4MG< z3U>?Zyf^u_35wQ_VQ})`ho#85fpt5TXB}7;2_^IPcNK@Ht-dilV5FuUamf>{`jyfk~(BIFZd4W z^lw>d`s-n<%8Sb$*0BGt%CmV=kZ7jbHUntf2)q428b#L8{=-!##Iou208_yUzygkh z&*sgqj~o_*ua%XRQ;67sIUJy}x29G956u1Wb9D48V6d|#=sC5;a3&DK8f$uceF3B| zmYXXMwEf^E#$N7<$PxF)aF68!W&-}l&G{ZYXn{P7!2}#X)S{v(^)9Jwd=~$fb26<< z>9OflhmMY_qT-S#7wmgKw{OpI{Fkv+e8YOK@q$}yzQ#WFt>%ZIJ&4xc-k!%|ad9y~ zg_6v|0r8wxnbDIZK3ggto_+E#hX2Kr^ITl___w#eM`2+()_D1sh;! zmtX(aA#oGb`g7Yay90rmeQ07NJI{AqW32$-|JpU{rV z`d`*fH1Mic!9^CZUIs>+me$wfrrg4UgBN>Zn2)!{dJV3CD$sTl49MjG4y!pJGmU1^ z8qT!*N8$SP4QQeYi1g@#3K2+2NePRHBygMK0IttUo2f{kSpl@=N-HYf6{#;TFJ}L z4@z|8nEy3LflN&O>!-)&_xlluL;?E047tz0tpe}CBvUW|h&xBkr$N?oCRv*~_cIkP zmYWU0pHj-n1Yl$SYft~f3EY~*%TGD~&$t9&7XD}O1Q(bl$^MUNlE1I`Zwv<}lcoO> z39mfSD((Ky!G?b>Qnbopq}6|ljsN!Z0$clgzW}YUVcUP3T@k*Yzli0MIcffW@<4$I4GfEPqp{b*C9*EaoavQTUdlxT!)0t~qxN$WVIBKUx zz^ubuoLbijSMgnG>A!-9YBYa(B1$+Pva}i!75$^Vj7&-kfHa`c3Y5 zrXWy9C0Q@7u-hZH)2mIOcV`@}WRjpi{+(Y5vRvf+RyZv&m@bw=)K%wX+$ibXTAs_y z_%;Il(udh_`*hQGdAN!(<(*I(+nS_|CQSq%`AUmx(qMMhy0mCY$FQXQI^090O3ikZ z&&n>fu4P}vm-2kv&%6^^q!%8(?6IKNOxTSs4OI1$i;&|{(W`EF?^}LFY>b*S0E|-h zr<0xwD5(f=q^EtxqcDh8wSOlhUGuuo8nS;Zt|FSpF6p7=?yZ8E-${Oqb!25mbCnXE z;tix`{#3r+(C_}^WvSK2mt8--%NUfRkN;R0`OLo^RU~l?H!zd@g)3w{@r%~XjxEz) zl*+CP_Wri=!SFB^pT?x-a?`3ORa`OUr)@ww_3jfspVi!e`u>jF7mqGhohIbq9b1E0 z2|a({vdUT8I1k}D4w5*$$4^(-)G{M`#JnjFk&kah!s|MKFjyYdf9kH_)7W!0Xy}FO z#S{m889U71;rI@KyKZ`2xoaQ{%JB-RC)r+6`3!0@4+myfO5C^68y$oI?zmbB*vA)p!gh6kX?5A!<(Q6_kP~_rZYo#3_x#)0O|eP>`TUyR5Sx{ajs8HEDbFuL z5$TLJw$gFh&Byk-5B$XqOLxaBYA%iVcYJzvkf5Ap6DS@ zwL;CG0E`5bGOz$$STLoT5L3!%?@E(#QEH#+Ywkmr<|`ud)hzW zKHY+Jceur$C5Xt}^2C-;M5{Q$b2zu6+dSKQF5>b++SAo|#Qya-#WA2ZovjVdovETX zyb(;N_m#YCdrg`RZ*5Fpl&EbTzzHO(P^zm-;+cgbyVD_~-VNl|W+f&q@fZC30vs;0 z&H$F;6spoFj!svUA`ZYJ^H>*&ycHTsFxz*XzIVshTKb8Sl1@}vL!TCw54j}mlr zEVJo-?!zMO>6MGp0(dliV<3)f)zqt0O82dcn%874bI14>1E`ryc9NhlfKO=9v9>=#2 z+{6@q#ioU6IPDRRA#&9;X^7IA@zkabc!R!NKJNC z%O`-HShlEUyWHp0s+pn!sQROc>Yw59!5MnJm|mGLZFS!V!p;7evWagBsJA8I*t$|Y zslHmMXm%!1($2aBF&e{t;PdZ(`knsJEwQV$fyuQ+~T46C; zP2`l#YP8c8<>2_qq@O};;o~3CE`FJ;NIVk!k@S9@zLfgUhBuurU*fgFVXT>Q?)rYa zLe7?Lcg@66aZ?;y*G*EP+MYj_*iQSlhvKW%LMq(mpZEy6O>LZp^|+O9WsG~2#Q13| z4Uatl0RzIZr*8cM3@E^w(W9;Lr$~wIbmbzTHGzAj0=3GY)Kc-h*7%#7n{p|_L?}*9 zPQZe$18CpbIhlft^-KW1|B_g*dkuWVNX-ok0sT-&KYt$ zxoncxR%R-=?5E`AB>F7W#m0TRA-;8D+h5J@nRC>J|Npj7WcWW`s~ag3YecskFGqATK_ zupe>#XU2QZa3p;`tkYVol$vvqvybSA*D_DhQ%kasBuoljk$et4U26jW)gfE!ouGFQ zkP3-X>#!pH3E;9omMEz%DF(xhZvV~W`YtNk=vmIjH}Y@xVsC%P!M2u2`6IL_b%1)r z@?mUSn(ER?_tkqcVR%@?nrUYU02W)J5iAVWat#Ht5$}LXqI1ECJ^j|D8*K@?f(|&J zlX8kVmk(adZOwj%hSU&-O&GoLTxvDe?>EM#s+StCC5bCa9BGS#D0!#1uAG|)?u;k#*IQU%rz624< zC!jNBW*_K1QT@K}E+JQ+Z*%D!iuT)b=XL9P$(xr%*q>cSJoxYI8DzF6bgD)2T-8kr zTszmw=ZIXLDP69r%{)5~%OK@B9h1eQmuW=kKg--xQkTZO^F|v{Wkr)aRzv4+i&Qi& zwhmqppV{?`30$8hoq7h2X1CK*>=|Uj3c0d%Sfg zD%*TBWziU}H~q0r+g*@nyZeN>en`!yYoHW4h)T>0#6YaA=*BCGl1QG3LW4qsdPW)v zk!`TsXb5v(C>u74#lrSm?fO`K9Q|xpzw+FQSviMFrDcnZaZDZ0YhqW5j#9^u%zp51 zZd&%baOTh2MV%cTw8+)v<#+HD5zF~z5g{Om5mBrF6}(Sj1e*989Wc)`wg(R$M6>JP zy3muM%y-5}hbu0PFXj+jpg%8re6E+}Jd!Wa>FIn$8R(1n>HgrskHlzk=MRs=MT=2r zx@a98XPf(gL4k;U)a4D8cIN~RP*q6Vl-w#j-#u4GaeBK7McvbDS zsk_{)%}b2T?kqj9C+K~XbT*FG)OwO8b0_b&9e2Z~RBa|;v*WbK>ZXN($xXVY_Sz^X z73_9?x}0lMR9c`i@H#vz4pTi#7=7No^>w%!#C4Pw!RZS5-B?QYyg_l>Hp*@JLEhrf zD?6N(Q1bV+34Dp?B&g|F^$cr zVcwV9Y0193u{b(5=K^)*tD7#JZOw0l%sUZgh4F3?<6);W>=p)Jc%vQOZQXrRe(2n$ z(cgsNs;+3+ZIGsc)_*uyfFChD>THr}a#|5M!Fdy9NX9r;`(hgvzCPVt;T{=S*aIq- z0kTvzPJFJ)5JwH-9ob`!p#+Xs4?KMlu~QCD^nB9ATOr;2^9UJ_7ZiALQx4us+4FcZ z<18UD=)GI?On?1`ZGtoBpxo>{4kukB`w|&UV z%bcwZ=c9b^3L~1WcoK^&yl2+0Jv2oV#n$n~&qr4;gv{|1H!PyEE+pJyj;M~oxh-Yr zI8Qq>YR$tBTi>;!H{zpwp4OIMMOE7nXa)fv2lIfg_wS8ut!)QCxFCo0Ch-}q>XR_7 zQmGhN`=$HF{o)CqJ^ZYO-j>2#FbqbaF$ErDX%#%=gaJT!bgtNACYRKP!>N?_DcpK5 ztI^G7#qA!pUm=2J<^Fj3wRrZ??_q8EDbyIZvk`K{aRZ=v{88IbSMJmX_Yyp!9^Lxt zt}#;;P5)f7x9XX03WPS3Un~+LboGr{NW9vGv3<` z0GzR-Z*JV9^3I%Lm`)Vze*Bhie+j2F$B&}i)CE_w5~s<__aoxyI1{eO#HerR<^v8CqK0hVdRANxBcgQvytKk!9f&&dX_ByhYn z#8p_v6Unjc6%rEk*4El|@Pqeot;>L)<3L6dpcGO{vlb}{-UMdQ?J_{tYHa4R>)rZe438MXq3hm$jfE@9A> z-v)Y@p`$`5=md6-b+@m@3GDkIv)@*9fYG60-b_`TYJL~{VB?%@VQ}5ZHvx`f)y*XY zE*6!Do|x?y*FBX&lOfXOm=etZ5)J#q#RXh`2Q!k1cM9b$ciL7H6R@)Sy$N}qk{h-L z*ByA&u~@HP5Wn&W?>Ya}raytpFt!@(?EGSNbohoqi3tzO8ceG=%y4^m;S1QIfuZ!@ zUmn@a*2e&009)SU+43a73ejJ^pdah%Y9D4fQ@y*bU`EI6Ns>%8(tUt`Z$%=wDphC!lDl4tURqFL$5zYE=Pjvb+==cipjc_i+OkEQM=NMZBm;r ziOTe$!wMSJmgTDwQA*>C`Uj2WmP5~GPWyvzZAlX2`SlF66W=~Mb5WX^`C+qC6B!xe zk>k{PDDZRjT)6q>S--VzX+OZ-8@#3ZoEdk%>&GVMy@pLq3ou@=Eqr#ti*-YuO=475 zGQWlr0`=4J(XGiJ9{aE-pC!nno%l}qB#}ri7x)pf;M`_b6{rA>E8OvNBj&ovr9e^v ztb}balG7uX)RF@+=agISfcVM>SDAA|?W-RHR~&Se-%)>v2>1N8Uz(>C+jDEpc-ij| zX@^)IDiKPd*u*w20fIaye2Zl}L<=EqHf*f3Qix5@;_U(fwSy zgM!Kr>uqQF^3@7rFY;CMUI2Nr#=k#52qno8%Pe-;9{&~?XpTeH3|U5PX=wqx!7Ejn zYQH|FsWP5`G5jBv^JG`p6?nJY`pW7sUtV*O!(}=yyhmT8`%#D5ot>Ife1y%Erwkto(QB`ui>u&5op8vH-^_0wiIZm z12@wgC-_&Uk-ToW1a4twTlyT7;&U7v;oRD)(e(-*EDP zQ{cxsZxI~UtB~1w;pOMJb!lNEv;L|k+lFc;EaK^5zNc2Xn-5$+pef(5r-y~K*&!bH zF{#q*9??c+Bem+ow-jnPFAD<6XCSX|sozzOj$6Gj!uE_QmsONqZ(T&9=n6Z2**|5; zMwXt{IU^`OV+O*xGZ$a$Ho3IH0a?ND&dnN1yJXWObe-TQei0B?aF2$QT?1%%W2V%0 zctQe{SBt%0l_-Qg(|kq${|5}$A}_ZV%E#Q5+Sa##0$jKdHFJvgbgnc{WY-Q4Kt1=z zKXNfAa+z|2+P>s(pv|(t&NUGjS2K zHc_dVF&d+OfTX7b>Vpv8iBLW{PT7f)d~^CMwuDMV@=WN@|1jC`Icn=45u#8BVxb@H zDg@|6oKKWfXPtf$B!+Ljudq28$RhLMZ!&5cxe_>00K1#35=@7W>ldBwFyEeHHV7Ra zeh;pVby&|?MAlX6`=;!TwGkwYI`Aui>!0H;;*u+YGS+!-pLn7>4O^;e2u5rc6Rg!N z6WVoPlNefA^9HkPo}HWb-JOUz{uJ=UAB1R{7n8!?8|hL3qcO<4t&%&);(|baqZ%0y z`E5iFyL<(uhe3Bl3Kh4Y^r^7#m4i>0#9cu0OYr%$>y~}U*4+2O4ibI$c@*kS-}YQZ zv~B-gM19~AEg5!oRdpE^AKkhWr6}8%8PMK~7o^z)pMWB8j~a_{k*^)q*IE#R%RiHqBuFI zZu)DCx4F|YHw#sTc6xGO}ye_qf~<{EN?CH(SK#{SXpPeLCv$!hYk_ zc+VulKky~w*7Xl_;KXi+Z|ZG_#+Z5)<9zM+mP5xAh$nzcGuPxw8_5ZS6h&`tGIO$@ zJF`BE7?xbK#uV|{K6P?Q^;ymmFG!5G)1CTIw|0tf>@TuWLIsXm!gO-#l}|sEWmTIJ zm)DMZKg`LV@B4DQ`zm_oi$JH# z?R*#i@y-W?7#jM`e6p8i?bqVD?q&<+3w2(`6O0pu`A`pYH5}k#7c^R_(a%z2?IF6@ zZ8)!eew2Le7R%aG8k1`HtJ(lEpMVgCNbDn9$rYk)KPE)^l2cu`j6AXauFmpS*M#Lc zZVD`@zhXzHCaL1;SW0}%MlVn%tblkW=L08*9MR)WEPsMu^&u#DeY!ix9S~D2&sDu? z^l~xP`tXKBChG-olUJ_bQSReX|0&N~e&l6GV?HVrJGDh7OEG(uxh~8sLN7zYOsYLj zcZ+aQe)x{7P37S`V6oBG+U6YcxJbV$!Pj-0J#n;LUWJ&qz}&&cOUBJ5)ogYMslFrQ}0Nbje1E^5`$kOZ*z z0M=oYJjP6LW02{)n-J;VPWi$1&Pb1b4qGOW>rSTvN06~n0UwH`>(Soge&_oD35S`x z*tzZ2Ur5avEtRV7kuj!SvRy{~94dnH!iNcZfe~}Y2YtUhn#9LHjYsE!1AZ6O2c-F_ zPzJz>5(GjC(|*WO61!M@1H?dn-pv@cj!c~N#S6y@WK9k^pH4o6e5c++u=?>!KcEEs z%?qQ&DQ}b8b>7mL>z3kej(j(Yy4tc`zEu*c+$5$t+t4>iRCd;+`Eu)e4A#KW|J^f? zcqE^~_R4VEBElYemXFlMnKNtg0IxR%kqK5 zD6ppk%EeRs(@N>UQ4`M5C8@mR2AEk{A;lr<+K27mB+E;0)=}9}U@ljhlebPr;?(l7 zAb>)aHoq>joO{EL$Tp=O&M=lfh1v0>EN}SSU-hFs{olfq66~=x2FHYOZ-7&jGAfh> zJUG>)IC))~jtccU<+>he1N(n=y}!`}h@XODpuDTcK3AWj^HoHhc>Fp2XQ6~;mzaaC zh=C|9;$oCf3OL6p+|k1)Da97aj0uiIbwNoSYLqmDbssx80k@ooyZnCm?&Rnhr4)XUga8^>iwsD8pYxy>1L zmjWtZABzW)aLerHMVqgWWUK8b^oaoB^iLosk;8sYc)HrwnxpdE1(V-BOsI<;dF$FX z$!kr9t_0yBnN7%ycT*^yimQXlGAj15^gnGbY>2l5WwBSY;ap!#Ddz4L9u%J*8*WOM z1q;{Xy@!exF@SSO=_mGR1^IRDNj_gm60_FDl-l9pRKPlXhE*ePr-HREFf^Oyq35YS zpQB&B8XwQ~`u_8lNcrgrB$>yEh2pds%`bwxG!q%Brcn-?Rj(s z+==d%35c2uSPINFyI26`t*oG_jCz~i$nv$X~yQR<3@*Jm%M zs@CiaZHhLJA?7SaqlKw3oX<12HMJgF7!>`4J^2Z+A1T?t*3ZG2IhN-)4fAp-asSm0 z4XBVmPH7veO^0Ou{y5y~!i+JO3PYcN(k2}eN^5k+NUAf|T4(&I*xWta`T#DJSL(yn z(Yz(qUaZ2;Q}}J-&w#LIrT>bjJIH1-K8e1>@#dTs)eH2!ze4>b1)fyH(0&v!4)lvx zk)nGA+=Iz2%e|+MgJN*iDj%wS^285D(c8k?pfsa>csh7iTB(ej@EXA>ySrQ3>$XOS z`XrFgW1FuRy0lAm3_Cg#yf9u8C|ld47Sxq>H!`yvXbUwSg7gGV*727LWau&{7U^O( z;I;dadK{#*x*T{dDzkdn= zKI0DCqr4t+6n|n9tOql5Mhtabfko$zra|Ij-jtq@yMJ%j4N{=-IkXzcxw5ay?UvdkI{e7RL6m2DyH&}rcs3M8$HCM8cvZ9wO)Y-VOJ@z zC=G|Lb1el@fsUG9GY-$Khv`)5L>HR|Mn*q?odp#U_Y_%acGC=gpxn zsXjWtYq;Z{QKbGkD0?(yRdrokyTF3OzftrZ>(+&08AQ4`yG2{;u+PaH0X9@Eu*&W4 z50aHx9mud~B(*&WK%2)3Yi*SauF06?K4oj~Rk3hN7Py-qZE&>*sH=<1?GkKJA@?I1 zKvMV%0J3ypK6>^IzzoC@5L$d6__#HiheUWc<-$X}e-yY`d6LW}jD{Q)S*3qucq;7V z2OUvIo+~)4@jV*%eQU^0u*OH~5A^!uG<@Eg+BGhEueam*?1@6ZkkBb1{%{NH^E736 z>+gxTr@y7PxjcTix*A4z%^B=_^A@N!Kj0|QjS)xUKjSvX?{07@P-ZGDD%%?)=natn zC@Aog{Ds_bxGl|XS@(t!P7jqGf6-K0O+*~$d1o*CiUBYN50ieBJ6q2NR1~evi;sFW z#E=}lM|b)~sb31>nBNiO^k5Z?rg7;>ous*4ELrdpvyq*d_a~1%HYI9ZThI;ii9-8W zrNsLR!+E9;EaC8mgWX8Cr&nZT;Qzpn2Sw;wo54?*>@L11W#A(>&V0F-Uv195h@d1Z zJ9ePj1T(x1xm_5__Vc)M@u{H%XEYdSjmE5?MLfMYp%7QU?(fyKv`qX$IeyC5D3-^r zradN}_t9~?kC#tDN7^D*>ej2=2SWkO<~8S_X{I@KiDwDg@^0)Qcvmn6+%^Dq(Tt3; z#>thl`TTfCW1u&L|9@l5cIU#TDi@7wy^1A3nd{eVCRo)%?WMoC^g_b6O;UBDlvYnw z%Qn5zWUqe-N%(t!(zuM#cVd~aORa6ioy{S-*-835KZ%^BJN2r$@E_)zJYB^nD7OTs zwzhc~EA;`YW{30%duorYy@t^$rsa!X(pJ$_*`0BbSLEYpKzq>%q45!RNCO?-$L2vY ze1-3+C0w~_!P-|5)R9s2Ckk~eCj;}6TTpQ@TVHRkE1g)zTwRjVzR85;p27DCR(NAT z2ADzbd0jGxk*WQ=IBDa`a^z^J+_sq8r{?8q>JolY z2U+5pcS*(g46S&iM|YB?o6(c@(P8=AwA!a4T^ty688(4%A0aNev;UhTY~MZ(n4Rx-wO5}A_!plT1d8PO zH%Ki0%I%*#_oL718GrU^8kPQwuo=yyg>K{@b{1ef|LglO1At=We*%hX|B`zjeP)?7 z(f$t@^#3Lx$p@`~4XXUd2LFD`_rSj*g`U{s|A)&OZcR?2L(6b)+YVEpx#vK)jzfv> z=}8yaLx)=g@89HSL&m+T zo0oo+_x{&g{qeuj;8PFH?{U(KGHailH?JQ5L)QKenEAK5`ajj%4*>Nx>woO-|E=D} z{o@3dm;IYN1y0dF2h05p;P(D+Z$kHf(BP$9?5Nk^0Y)5`=cWGvoF|iTUO6rp;t20Km1Rz4iMbEzLQ}$Hf&1)J6=AjoW~F z;Q3(}1)$wBS@`{hhMpeQ1A~A5=TboV5gFO~9gmri)9A5$BF`@XcJ50ROC22i2pI2- zOK$+A8Ze`*Y?r_~Cnn;6KjbnWAhnxs?w_hKmrwj(7&&l?kIrI9{>I3+%>t%oW>lKJ z+=2GHX{mRU$BAaS33_a7ENZHRl+-%gbAcaY|CYZmVUIStBh7u9ffc-8>5m`JP!O}T zC#^u@B03HZ-{f3xFD5%Xds8We&-nvcSy`*G{F8ENAG&|e&x1EcMpP*H`1l@+z!unf z0$l*Q`#yS2QS{<5Jw1I?_O940l9+%%3Q&rd0)fv!LkRWG;Byqc;=TTFAXQB9{rks2 zUd3pxlHYwGO`YRv-!5P*|8sB5Sa!9YEd2r$@z*5yu;Mie!qiG0GZ|Co7-d!wC%G-&Acf7TIiyXEK zwNXW7##|PI30#$wp7!YtMA%yoSCXjwAG&dYI~*Gln4SxzxyZu0$w-rx{O^KUY+&DpFxmd??ZKYzg$;g(Sbv(A$p4vE^ z^0-9RzxCno^7bC9;v}=Wd{{cQPi!5bOUEFLUn5@aT%;e1ORVa)1_9y8lJMG!ZA<&B z^WH@?HH6z8c@Xm7hE+;$jWT@9cmr{zz%lm2CWI~Si3Zs6W4V%X81Q3}JgVkIFoM&v zo?u8Ye{_|d6I0d}SGGalb=zN0PI+gaa^+xePhJ<^sw{mF({Rmc`e^YirI{1_MVY*k z@I*|v7w;`q%)#;6qua!$upFNj)CeH>0PY&N=4dvXN(!!=c`R_jL1_rL9C1MjF;~dc z&T_PmICu_>#By1WyJ>q*VOd)<59rtS{n@932rbx!L-ro0bd8MkFPP(grBG^gV?_Zz zn0-g4702OPO=d3vKQXrgDwvX43tgg@?Smd-u)Qnt(a}0e@|2c& zcGH;y#SGeKZ`2D}OfsW<;1SXDzHeVXH#-(?lu@q~HVcDEY^{8!h zCB-!2wD}3Hy}VF~j13)(Nc;GUm?y4sSx6f8Y1j=N{v};f&F1RtJ$Ukwiz*hn=iO_& zw(4Z+KdYLqm#87|B+B0X_mbzBFL23*I;9oiqJ3@HGc7kCRoNowM4+SApkQ!gWT^S2 z2(x5=L{{Xum~*<#NPfaumC#N~`Ipif!~{mn(L#vQ{8Ea$zNZ)R!IioFs`Q$7(Q@Mh zReKGwuJb5sT)M4IOk=Z-vA8I-bc*}i(XmYR*Mm?i`GSl}Wyrb=%686mYg9wTJYk7Rm9jJ87!h0< z4D_ZTw+jN*@EJK}FXeI0@r%Mu{%qzLVpYjs%Fmp+gXFo#U+$c(xwhVMoxn7Cx(TsP z3Y)`}^Bz|^>FeK;yr!jn5+f61EDYS3fgoV5I!9WdpqAlzwzq%d3+wl-Kk_(OcuPu3 z>UOyF1c=JXHkF-?y8-$r_ht}505lrTl7)QwM90Gu4ajGQ%8aFenT&V+0Eru3qFF`- zxQThseW#|T61bSPR%m66PnNNi;iUAINbQxZp7bpQN#=`4S35q!F2_mDJ|=Z)%VjGr z@su=+LDB+r?qCwJug-TQC?9N)l>O^(TBl7j(aty9C)$ZzSuVHNiW4QLzGrE2xDXve z(6O$YLEE3$bJS+-gM-8SIl;lh9p}dD`ZhW+S^De68!43QMguY-zAg1in_U~tgI+8) zXp_u_%5pQQo-c8CsYslqdira>Ef1$%=~ul9XzAk?8!8p?E&TNR{+vr^yJlP<`ZP4{T}8B$@ywb9D9MOK_Ox0*XPek1uOlI@Q7dF z;n{L1T%9&?`r0ad3?q(-2f1=ttDDa+1JQh8FyGhSS7E~fe8SgtLr6+i-G^$a=$ZOL zK)!|ipGFzOxpK@8G?}-^8J*=M&@F00AZXLoe(Rg;4rv)7Cz{K-N+e&OgppZzx+wt* zssgp)xWR`J{jy<(3kXtj$P$aFX5goziI8%{i+J8ke3}=-3dDBFQTPXsUt8{)d{FGY zeLeezSS^-8DC}(_eCj+H^t;i=w?JBq0+ zry`0n8;jM^{Z89(Jl6D)w3AVna#ox5nrubx!c_A&8TVPgY_ zeX^Lb&sHGz;EIw|yF9Q$$C)6itgiZ(1VL|b@;%U_CX4W?45SG}6Y=zMUk!r@% ziFfH*K9okCGv zuZEPluc5wJetBUwStBp&yk{>^}DS%Oh49Up)*DY zHNyS+fH8t%t9qCXES40XtJ#T_93+{+X$4k?HpoKENqnrd9(q^I5MrflB^Y&E|0OCWvb5GDBm4hx z_SR8xJnP>eBq0O{kl;>mg1bv_hd^){+}&Lgg1b9|ySo$I1_pNt?(V+*{k`wKd+&R8 z&)Ku*%pcP|)m`1y(^XGB^^uiNb1}zKXGlA%(G)PE#GR4K3_Z?ga{#$0ibvzMug_Z+ zo)ksvo6U^cMZt zr!pRghz+>o`~4*-Op(sAik85D?RY*2H{PVBk=K(J^G3C$JVRE-XT8ZP+Eu5Bf#-AeaSFBG92wm>QW_Bz85X(Q?#?Ndx2 zO~xCJeC!OK+n@MVx5YMloh+gm>*5A&ck~J8ZH?DlNv&qAeFBv%G$V|OA*Qm>o{E*L z)}B_9L9}jUY^W$C0PD4!?cE6TnHE~#SMQI0tft;g=x&)W&nRGFj-$MYO}HFGx6i8iu>LR87sIvBt3B{d<+fi`=fM|ged zmoBK&(}$$_`16SSUPW$P%A3W;NosQtP1dc6IE&(xbf8B!W0GxlfI$R?OqSy)&Sp$s zTa(N$9iiAp4v+(YCBE>sC1EP*-tJtK5Hpfz{xxDZF`?*}`v{RFB*B(%EZNG#mEu_b zlVY6dn`no1G_>ZAhZTguOAS9NW4~5c_t%Uj_0s8zJnaxJawS#5>T%`~Gmp$=MMicN z*t)VINVVZS@ux!c{q~{4cIljim$7|P?G;Nn`gEBIp^7bv6speP0N)*N`aLC>IC;i= z`J{rUxE}9vpQxQYio%+f0V^feQ%l#e6@!Zf8{ zl;0vE(7Hq6Y86v2ms#b>Bn1rxI*>3s%aq6OvY?9UY#K;eJVL;5-|f`R3DH6XRixS7mvQGG)qy z{gifW;UE)&Mp0E$(>*XiReFJkj~~|ADVV|Q%7J5gwKqW^;FSzmz#ckN<4yUxj9CJ1 zOMtw~bcIgZ&S;wB`G(l9U%zSu*6PgB0g5g_7ah`j8j7Q;1;B7o3CpfzoFbrtH^tcU z`|k=fc|$~vf40THL~~zNr$qWyvY2vZt4Gw-YFiFHDzoZG}5je?J)rPh3RrT-v zEjpHQHiQ@!8oV>vY&mVM3}`N|=7*BR4SfK_tUGS1`^kQ}pY-?j%${6cTEuTmaw z2|xMm`Xf4dq`F)qbx_dTshbQXUBV>4yTwDQoeNQoN?8o)^Z71ZJ6B0J+;TV3*N$OM zcA4+9{H+qk?v*XrxW0C91WB)g@_8Luuz<}pYMdm zD-LcCh9*#~+@{OhJzUpH#$yeJ#*cAVCb&7pftxuF;&rqosK$< zVaiS$qNy0%8bnN@?9shlOL?&B9!&JM)`^XDY#!t_jAZVqtPGx^(0>JM zV5<4m`SJetnpiagzM@?Z$Hhj={;|BR_Y`=Ex5yGC-OsPeG9}P*{8GAsxcI2)WcDty za%Bz#sO+I_r>Yp9)pKn~k;`OU_#A#0%delAn&un)oOGc<0V zyo0{*@#s{2HRD;w()&ukXZuivoSOt;?Z;eAw*i^q`R#eGl7BjQUCYGQzyxZ}gE^P< znrJE?$HF?-kwn>VoFoPy#m&DKtMAq_TL}F29RM39;ym*1yH2`u^hdzr_`fS*Vs5PJ9}eDahoBjgGkEEO0`*hlK#ed5FN${ z4jB?Btw6R3`a(|eOZ3zis5b?O~gS-*Ub&7shR^()fIDHZ9E zsqG}6ySwMb-TDs}7AM^+VmQIBsS*Al^+l2%nB!LOQ9zi<;rSew<3vkrK{`-3j~oqw zj0$CaV}bU`@o(}uOEe&SOKOg5!FQo?@VnLY<%L?>H~Gi6CKt&%VFu&D6B%XQJ8b79 z0)yEYt-LnXb8h0N^ye3al*R6|Ct1TE9$OM6Ol12ntQlu{de#&Q+xcrqg%`5|>T$YZ zaZl3e;q&jN&G)HSoPwr?tmtEwH1`AWN8*CHtnaxFKvO3ui$UwTyWFS>zUF<|rIPt* z@7YV!F)3pt&xUO!y1Zu1*zgR{e#~#85B@B@z0)mM>L2|LI|jVs_tXT=fhU@`pHW5Z zX|%rtsoUvaewMEg$U@&ypNGS?RqK9Jd&-Cw^84oUVbk;MjjQ|v9_RV1Ff6v|%W`$% zgvjFoq<%<7I-YtMn3!LkSPKbtVbJbe%kKgqn(_D_B0BXm)+i!lwU@T`_NuzNERXuo zyA>WW;itDYD|}MB^41Zl@G!;xNNCL|pzR;e+MXFQ8Hn3Bb8TYq(IZmNGQN8yy#j)0 zNVL;2`qUl!Q8SQo_0cu|l2cLgds)tIDFd)>8u-IX_W8kwV{hpVv%8j<7B^Bw&8#C< z!myAu#RyP@MqK0<@BEGEMB&NF&v_>rk(A7109PZS?K>>_&Q2b`M-F=Ci>MaJf%Cb4 zEIj&q&Mw1PNm)nULm5MA9or-kzmV!5xZ-+DToV2H2t4VZzBfvH(`#IiM+6O@DU_fw z-MUYoqq?t7EE$Oc*OliffJSt=)Q@a;(RHNJ_ItBx^ZVTav@c$gyzU_z-Ieif^D!xE zb+_P*oHB&1{yi%1%2ynlhDAjI)ZA;@@t@H8HHrY){_*Fz;_3^o>)CXp*`aUkt^rY9 z^+ovl?}w?_xPHG0a3sn`$HnW)^$UWbrjL&=*U3c5<=H&lOu~GjJ|p3j*WFFif9)Av zA_OStEs>`o&C*>9&)k(lBwLZ$B0-ZCI=q0OfdXJS8$D!HrqhZAko|;(h5t#G`o7## z!N8-KRgQ8y?tCwlC(HmR4d9IU0)QD051z-{(?TKt_Zo45K*ki>;r;lJpaMWx$7TfS z*;Z;XYt@<{)2fz@Bk%%7gK$U|jQ#(-wADF2rMl-EeG47ltsxF^au()rew0$TI|W19 z=Q0NR#n`(l!!8+Bd&}^CTRrfSozDD+tnTYMl7#7!_q#AdzDJ@v2R};;QLTJ5g(1PK z(FUpdB^(^He{g?VCBkRNL{N@z-rhw*~K1u<09Y%TO92e?2*G}DRv7uj1<(kP_ zB+O4DSq|7U&sc~v8e)PpWn?ZnG5>qe|oH!BOaO0>qILVr@H z2!XQ_&1c{AzI+KJw710Q=Siq0kqsD`v*^y6JW5E<&z<2U3>r&lw#8oMUKopOn`Or_x%7IgE&-z^as%Exh`H0+;*$w-&mD2b~v76VG;P^Wu4AlqYcy!i$ z?$a{=C4*lgqLqp)HEOm4dNDu--at7 z^-L@*<84gG!s3;2n#PF=zii$XQz~kKltx?u8l=T{>@Y03;I(RaIc>g4h;-#~mO$PE z{3q^pDx>?OD%^SeLQJF&htv2GF`hCtlLm%D4qmY!HwP~?=~7p)t8D>W;g22f<7wL4 z`Xp)2ir+F5!bh1#ZXU5;d-L18)W*HreeNrwqf2ygBcx|h42kdOkTu;}$MbV|eb()t zjvT>7dCDf7jFub9hc#8zdhx~4BJ-XUuPhbcg zS6O?-v;{kDhi-QUE$pknxqH0$^BO+K$1ib1IP4Y}fQ7*1BV=YK;m@BxWovVQ*OF^^ z@e>toC6z+v77%=Tz1;6==!1P3^1pxEe){^~%lq ztfM7D#N$$>``;cjEdvQLBR&tm(W7l@JhqWk#>dlG#)-rIL`jOk-DF8}9^c0~Ywh|7 zk;kYFM;_0+{eY>YyUQnr2b9yXTknBGg0*T>UYoU#TisuuBjO^2GE#!ldBpPHcTcfi z&Q&EN^&DCTm8dwoiuwmq6u!a5!Hp_x$8?Ok-?S>vb3{SnPW~nOka(K9_|46Pp#1{! zlxxPa`3~r}c_=bSFX6vCt$$$wte;z+T=Qt)4n#LQ%Q{lE5dx7U9}-uORsy;PqjPaV4r(KYU&Dm)Ae1BoQ%_DtU=UO%CQkhf~rbm!?61(RpF4`d8rs?xMn z;)YmiFml{zeUlA#32u#3gH82b%anVI6-!X~O8V7^)yXzaI{*Etb!_AE5=eLWs&Z0z55j}ND14Q<8+^ZP2IRQy24wx$O7`%Iv>1LZ0LBe z1@@I9{90f*8wB6=%k>r!8+5G=v0|w081#(d$fbgOs4ut;uT*i5R;$g+|1Gxp{WozV zjL(LY#u-%4LqF2z7zT304AE|g2G7$^hsV9;Xku_=8$?OnD<3t%>}#8#*|7R&tWShF zou7WRSB$!C-1_mFB3GvABc?)5b>!6&vPbCYYlCWkCZYFOV8Uft?4-}-@A~6>O7Ju7 z;B*CfQTuPl^?0V;tlr$5rpYoGs#fj~Zm|fQo>TmA9WxTYExya>l*-PjkX>UX`OFWa+NZJKZi8Wus$CPp_^rRZ@8c+J1y(Py*moJqIsxeoF$E?mt- zAtFJ-4d-1PW$m zTVkcfJSl!FtFna#IbZwKvomasuy5@Lm7S53O^W;%yRM{k5Ux@b%hk*<6x=>(1 zsd@3%Ja?ej5LsF`&VShkP@Zu0Jf*v=E3cvQa597h!IaEI#fPoP2;MKw=U>Q@XetjNyLr7A^|x=3tlf*(YS0>0f?VcN_9cc@ zbOD+1Ahu)vb7QFW#eEphcAUo{$H6=oBovcf`XLS3QYLKf#BvS=^k+fFcQNs%X9*LEh6;UwY?ClRF$MaD{xK~^{TrOaK9{L#G1vr%A7?7caHhSi`5G>C@{%19|)?s zM}&uOZ4JfMnNI~0@q6rfHR$)e|A&7E1{3SFy5#>Tl>Z0GTxYumI^`oFA$Hw^whn&q z4x}U_)c7gf)`FE&=jY<4(7&nI&ZT6Ey|qmf<8cu@78;FvTi3&wCqE`hq@}N#OSJF$ z^j*-W2wm5}B#?5JOKbaR`HGhc6+D4pIh`X=k3T(Vr8wH*vBIy@{2J&D((;=5y*G$6 z2A*6gRV`NjL|B}*%7bi4nl!>)_xgNW?V)Dlf;C8vMkIFFLEV;qc(7e0D0{Z;HD5PJ z1G}F>pM=;P-t#j%FR#?R@g*MgM05GNF)~>p``Ff|cyU&;6$H38v3~bBPz_hkT)Y>T zdVk{}gE%?%^M^-Ev>k2hQ9R@3^2FHC@LUtiKJ$664kGz}%r@#yZ+=2a_qEl0d4K)hQkK6H%qeSSJ&9ZhlWO9g z*UMGey@36JbZO(inlAg4XhqaFey9c z2z$h~G4(c48;6Yw?K>+{52vv{-0!vIE2EDHsy8;tAQ9zfe)b7|h3hO^>FyGY+WTE^ zGZRiJcW{^>7eku4-0^%9up?kQk^G2C2XRw8nJ3U`56AH%aX;F0-~s5u+<^2Pj8c(M{KmOJ*1bk25O zgpzfEgFAJQi47N5@>s{s*{@()$P=t2IM-=I9tjtX$sqC&!K%@d56d*g;bD#@F!rP> zG6@zCi_84EEa!Ssy{z)+x#<6wU~@5o;Fro{r4*l6`ry~v8k!22eT7W(krl|d`@wCV zFs^6(-3Fq*(;}Pg8mlRqcs4s-$E!hwJ*^vediCy%7yN#M0=C^edbsy;qcf@jvZU+w;WnEaBWvwP*RX zHEpGVj}MP;07`aw6kqQ=1>UKZMq6S)@Z{=bC5=?f$@3#Hzkvc!jfDnl{Ha0()1&$7 zf2^Ri8f_*@RA><~sJ}@{e(-%dhi`Q`{>N&a=drOMKmYuxd41Ljz*ErC$+p28XwvNa za57aYMs2k(I9iQb&PWgvOFXPBc_`-HBk8dleLM$<+nK{Y%`BzL$bMJwLS~bbRY!v9 z)3sER>TG0>$p_BS)bV-kESxuMZbUb~cJ*5rTcs0XeaJkNT7{6u2zXJy3BdD~%$5w6 zh;{C`RoJ#R_AT_qs5*C2&^y-im||1WsL~D;%(Praji}Jb4Nfr$XSR8ZEuiK{j}&d0 zK&yGPok|Z9*r!hhGd`7JIt(|>@AnlSSws!X_Upnzi*(sMDSG3C^au0NhB51MljGRe zR40#**Nz{9`8kPd^JT1$lnZccDx{>yZhi@(fYo*vhL1=#QFN!t`FS$$EN`zi$l-%x z2?#=gMamE^I}nxpWP4#A-vo&FzLleo4$RKk`9yM<{KmWUTU<8f!5L=UmV`cKp^`p! z>;A>kW~T?P|?B z$Kne^jw0pIb}jKw8BP}$>F96u;eMlFhOJyv*Vtd`Ar(pg%0J+^01SH20^;wcMpZe- zM%}ueB;m+m217}L2YvW0uT);Z-_~@A*`O!qO5pXChMYV+`qPTyTP!S^{s?^WsRFS5 z-ncys0pW46TI2g#hk43f6#yHv_0&A_UeIzr3uUt(dHX4V_8lDD+eM;t4r|SgO~-_3 zWilWtof`bm5}(W$cH z(SjEj>{8rSB$l8uNGl&&Kxp_E^m2~$%)p0rYoq)U!28ozwW`bsnN8}v2)wtpL_T{% zt$F=3+-b6s2#T1LR2)Fb{rQ@8imjzRZkkQ0V(r_tMn;*nEesvrtOy~#L`mnm`!9~S zo`y3omKzNxCN-4ygBM+J4 zAZgcSN0mGAW)`Cy6zZFZze)*T$6xW5^ZA>2V5*ok)#sbQ&pIp&z7exc?)U`q}4Ff0|hB zzN8Gl1DZ2$cP`L#ko3)*l1zXi;_>r&)1ro+ZT6pT?Xf?Ls}MnZeEb01h&G)wZ@fMa z@E0D{i(Ua>K}@)zC4#i@S6!M@632HEj)H+O7sZE0DYr@@sk<9Pb+xbZT|dj+xx85q zwv>%jX_Qwh$OS)=@z=s%o_FhDXz?Xq6>*WiHvjgXD&cCVko!yP*%Dax95=Z{wZUBv z9}~o&uT@A_A+mH~v`?f&lwvZ^^bG(j>^1H%0&)WVYAWsL-Z*1{ah$lbIW*F&+~&pYBi$F7>JHQ<~?8OD}^+M@j&Dna;E3ZK?E=!g|vIlvN|7lp~c1St#$I| z%U~Bu{dkTMeN{ckCM}0x?B4IbRQB2 zAcERO-Pju_)-h2fBBm0R+H_2IG)@rDJUINZ5ugEKLNJPS`NU3i5ZoiM@`x5cz7Lf5 zm9;czpOs4= zCk?h_K@%GiW}eI)05(-yxjc7ax;mF>vO2dYe-c<9N671=?mwv+FaWHSsL|HK$uyxq zBu;!Sm~1Vf0?<|mJ962jqTecK%Iqx9vDJ!ttQCvL+XFURQeH!o#^wU4ifzvthf z*p6iuo@hdlo14@11dku*D*AYFI?d6@)FRixqrSN{O6S*q8mLteUFfFArq*6Z1P*+3 zz#&To)us#bXq#xot8J9dnsbIdb@fJD-3Pj9Ql@`Mu68BFEj*h#_FSw=de^fLdy4)|?gy*G>X%b-l*{S;>hXfm2mt{CP@W z=NMM?Zh8ZF95v@oHH1hS->{WGIIF6Udd%Q3)nEgwk~ylS+@9S*a6gjJE|eSJTn!W- zzgz7XDDr6u<7y8Z5uEX<+>Ba5Fy3C^eJ4Tj*DC+7FDC!KrV6j?;biWIhoh!H@mSkt zI+UJTxofrpCR5vwz%06VNLpyg;pD0aL_W}5MhjilpJ{H@Ccb{b=hIEgdR4loyrC~y zzjsXlU#%FfkuKN*P|!A8~upa}Cg+eZfxVb;s z&bQ{QwA&V`JJaRt#*1+>mdEEVzgOvt-f~iTE3MTBF72Enpj^y!_Nx9N5F_P|X6w%L99Oq9yH`75rOH|R& znGg-t#CvU^j^`4ilE>&@p*l_jKtB4wh&1f-C3p0r;7psM{P!ZeVMBj4O5ESY3;3E_}F zsDX{+t%m`qg*T5}u5J91 zV(H(g(7QSlQtTY~1$a_(z9Nyg^{v=X8aKz&WorY3nFF_}DH;SJs)3`6zqKde& zFvg(R#76D3b&QA7bD@ihs!3qciQU^$S##xBRf^i(#FIW2#20H|g(wdLK+lCn3sme^pT|$98K|$% z8#&Egor8~^P~0EIS^murulQ+2ZK?A?%Am^{)Z(@s<5Mm7(Zkioi_|1<$!&JV$MIoH z&~-IUCGp7rl({Vj$`C8LkB$iB{i_VCI8g9D`k#Wj&uHxU;+b z(6an5#ckp{EgPz?qMiA<;bU?fxprHuT^F=)n(A;%ULBD{-15L{huw>Tc!W6hJ1(q z35f$YY0n+=UybqUg6}`>RPRmdviu(^@&CS^qW`)%91gmFHH_XHgD%QVwEt*3;Y_Ok zcnY%L$UHz1(*K{&cJTjD`F~t16D%@NpCMYp9G|p#an1Ap3dMLQhrO@L;|bdCTGLNk+waQAH11K0as<^DQ z6#7Z04lWmzIVS?1yN+x+{NZ(XL@o9ciGOt(4%-&Z?#h`lfs)qjGq> zSs~b5ZgqrJP~h|j^Shk|8}wP$+$04!9WDwCIJ#k$_vcC|ygEPV=9lQeJ!Y>k-8xW_ z(FD$~p`bmFME-+spLezmb1tPE)Jc~_^^||=+7x}Rc{@3Ejgq9U`M1H8LXnmOz3~*# zVz&uSNT8@Si71>&N-=g^XCdoM>pk{MAK8)rd!If+dH1<5Z0=2#0(gv0mqX?>8Hj_K z-Oji+jsAQP?#`SlIE2B1rc2gKZ#(dE^C&0MyqDjTSTU)uu2Ql;tPzx2Vd1 z$S9~!ZuY?wS@a&bzUun=IDfI3>+W+EEq(D!AhhFlp~OQ z-f^z3tNGiXuLVhK`VH^;YYoS?e|U)Pxg-X3hx$x)3GK**!LW1I-}?=#T&#n@%F3NI z1~T5i0=qlCjzaf*dzO`kb_JdCl&5H@=@R(b9FpGt;6U>^9lgzXlh0?yao~$Vvm2mH zv%WtH|HSXf3rrJgBdZ;q^ZMo^-Dcm#sHg(JXG7Bf``Gf2%r@CSQl zXs>tvz2#btkzbMwCp!2`c1B~kxq%^#dq^TOy2`n9%v)}ujXUx6k+?=U;JbuqwA0=v zgftEz@xY18GX^?3m5-_8Q7xkfMj!b5;GWIs?5Z*TVRWA{_`z3bV@)FD**Q)A9^=WAiUr=Y zeNQ2+QH1cbacJ2GaFIgE#bTAdNT$GOM@Sj~l-=8t>!pY)!4Lmw;F3WUd4%1OgH800lAnj8&+sm6cp}nH z-T0f*d1w}LC%@FfO5UCDUB@V;TaOfADwk{itlsn?VQ>LoOr)k zXSs$H&@4<i0duCzSk~Q!fKBKOt`FpR1^_9nYVRc)z}OhNIdBT9_QeiG%%`rh zVmbE(lRFH(S5A;N6s+Tw%onZXcp_crY7m?)PyJMHf%LWUBnzesZ8G_^- znXst7S!2aw5}+NPdcwI-XU?rss;sw+D)<>#KD#?7<8m^C-=<}QR9h`Jo<=lpT-Ox$ zwl&9T)Ot9os^4GapWmY9*>)=O3~9=0?YXU$*bC6o)T;41B~`|fo`vW@;~o`?=W;k? zT#F>HlCXtQRK4ebuQZmnkSGClUB5uy(DtJtkIHxfU?bxi!!#s|X0q1h37W zP9XR`{YA(skEdI!_6raHXcCd4U|~ViF5zT&otaLm*JzTBnKhy?f=LawOPMtXQ#S3`QGHTbdl2oOf zVAj~6-rAirAPzKTH#m2-!2DB8PJGwx1XW+Ph0R6qS@hz3v$s+wOk<%&{rV(Al!ik8 z(!}4s3?5Z{rVRHyjU$HWlV6)Ub6Jb4M53Tzwd3xaEQ=+qG!hX>0sCJ~3A8bbiv|n1 z@E4?F!6{5#X8XRxacbd($^mF)cjoK}_90hy6|^!wX$pn!`B&ZeF==(;J6(xQpp~76 zzXg5tmirY&fH`}&{R%A3hIAJssyMVVVdn0pQ*VK3zM4aFym++* z7NLUSay>!ge3qYVRWRKd)39M$Mb=$OtFN!eJmjETKkbaHHtQ-Wvy-5Lr<8pHfRntR zQe^03?rAama_z-lj(CzJ2I~2#NU-1TJK2!rw{q+p#Cmi0*E6n*XY8-o(WoWY<;6!O zY|*ios1+EG^m{FoAo)K353=2>$#wV5+Xq*}en{W@O`Xn@!pl~mS}l&szkj>PAQ_Es z{2p(K9bP+Z!tN_FIzQp!$|c$OPnfZZkA^+_$>+UWrt(U^*{0h+GL9Y@nk(gJ#&^k; zlA7TLSr|shJtm4WXvECdAy9DX~$@=eXn6Ge(-v*lU?0Gk+aH!knuT57Z{1n4_g$4g11VxfOePR7)9z54)P zuK8A1#_DR~MwKF9A&{JkeBJXvQ&k-h`FRoWQMUL_G2r&!cx9AkcGkHYQmTFm6T&zQ zu&Aaq&FsBZcw*4>)kg+F524%*IAG*Wq82r<;87#)91las!Rm?Id&i@EK8bLuTuu%D zoRZ*@UgU*D!2}bQuqt*p{nf$)Wo)?i;?QgDg-~$Qla}0 z08RK-B=9+UlbK%77NSl_3{f%)(me z$QE9T%SVWck6rzd#RBM0+|wx-!YHG?_TQ5{JB)#=*{v^d|G6ihb}M<^tb5P+(I`Qb z0U&pz-{S*8jFTjf|N7(28h#)xe)I8IJG^XKWB4pR9;;*bZF2^Jf5}Xxuz@gIl00Y( zF)T8?>-HBTJD#eqerdGu zQH=n|5De*U@t9bIpGRjdJEkqv0Xg?RX)GbiIQs#{-RvU?)XcmA>}Tgd;==rV*afJ% zA+2g9!B>Q#WqxlmS~?PzNO*z9ud7+YfZDZxroG3gP)2_*fSEK9A*;T%d;fQK4O?Tu zBzEjRbhFqfJn_678&(&gRy(XAPq z%JhWt?k`B{t0x3^)MTVgE$qsXZbt$6@@wZZ2-)6 z`Fg}1FLo$7CA&;JGjFqHJI?6{LrDe+LK{C5Mp|7%t`GHzl|Otro+2_IkpM|PqL}UI zymPi%ejN!d)$;;tZ_h;kfggLB+Inh{9#9Ylj)e0H%77G755j}CE7fu zIOeTJM`dtrR0|Rc(_u8@*ZoCqTBre9h=NpZRyiE&ONab(0DKXLC$WexKpBzES>=ux zZFT$n%bz&ze32ma@z(#VX5ATYM$bz7r{@P(S-C=qd)%f}j8 z)#!PNbu-Z8OW*q-{X-Q1rLH*;_zLN0m$Zi)G(X~CXCsMM+u+9357 zAlZq_Rs?^ET?Vm7DHSEvpDjC2=W~zb_e6O)bm|;~jKYO9bDN_&zrNNO18gMrf^=^9~h(-|#L?>kJH3*1^KAknV z^Zsy1KC@r(ZEYFp=;@0<<)l81@-d%Y{j@k0CYyg~D4``Te;uQAK1*Yq zVYCFZt1wYu^!cLm>sA-*a@$AfobOk#p@8@kTRcTvBKl{d;#+qoqmNj#i5>~l!kLS^ z8bXbnYia_&O_@Z( zf!=|B$IDO`Q9oerS*;|NTyrM@s7P@e8dJJWAM1c1cCd>*qPvO ze&mVAmI{JXU$GO^U~B;~1AY%t;a@My5hp9H=$}6e0Z81v#d=ym{IO?X0G^eVH5B9P zFYOn52{o;G^;nEb-On=8lHJ`0D}ndrtsN;LT7@}v%GJO-lL4KT*N*5G9s=N88oq`| z;M=EP-~qbLG0e?T-cXs@24O84CoOAwjKxl4uh5tAnj%r_ku%p;FX|1mo|>EbJ&mcf z_Kq&u`AWhI^b~i<#-`8j0V>v7XBEo&GD$u4kKPUGBwtlt+xm@6O+~cJeEN6=7+@{a zTo3tin2O-Pel0H3t_Gdfwz{6+6S&+mf3>2MjF6c`QjnAEexhINTrR2WFfvUOx$mXY zyNujsb+WSsOfNNRrq3ji{TMsUgon`jl9{K@zR&r}Sd`0^KGZ+@@d!P(P9Ln`P1E7e zbsda|_gXDQJ#4R0@at6mdSsqoT=;}vDhQ<&V0g(GG5I%`+-4!3Q4J5q)m2SABC}gf z*L8O|0UwYJNzUZweR=GCm1*FZZQ|nHc41i^Tb3NnXlS16v3X zW68yG=*GGpQGcH<4XQE!f#&;4DCfnOmly5z#D%5n8&M;MM6RkjxV&7I!KK)$_nm;sl!MrA`V$s~ZF$cthm!CI7Ky_$h+ZSAwn!$j%-yVYd z92Ms-I~51VB1!f6`2%AECatQ`>1sQmWb+dUqc%2kGr)h3jv#qbac0X+)kBjMF_O`e z&RSx5N+DhMj%Xq8u6aMECk+`x4%i7(wEK7YJB$v-QXqQ*n4OoLUzMj5_B~C|U%0~E zpG{+M(j<>no%aPjnZ8PW)xNu2)`Gq=fGAlDZ-|P2qE51EQR8DV{y7U=)Q?f&&j7Tu z>A2USe?06p2IjSB)W;imCLt`dHbL6s>Mrs6 zuo0aw<5FfR3zomhGQywJVwG#Yz^(s@wO^W#vGEn2nRidGaSWn6;X zt*ypusn0?>mwTjYd8@-lFL!KQ94wdD9l87%ifk%Ztn=Y&RqXz&$l`_jaZ8dkvd_xu z&9eE6+>c>3TA4ZVc1J$SyAzRq7h-4;_geLS(@iVRU;M#T?!$YV{_nBqae{PYm3fM% zkCg6Hj%>T9OS3bb_C~J=3>ib2WbWrzm^YbA;!u5^yX;q^jLkW^rvzsij&qH$mT)j< zsuzk&nQl&N)l$&bz_>Se;gcELsf(_vdhuS(4liN?J!HoRDFk7n(u`QECJ3GOMzO>k za}jdjpWlv5rMlHN*5&E0A;TZ`lF75QgN@I4>=l;B{){EO*4d-ci5J_sjD6_t*Cj1P_`f+ z_x8e0g(umGg!psDLzg;DO9HR$k~t#dOF4smj3a%wrkl-_l%!g72~jdUo+-_Ry0&y% z--RX0NzS*w>Qd?6y>7nBZL>4TFKyVGby4~OfjyJ+filc5e}8~+^bw!a25=SC|A!v9 z(T7|a`Dk1J{})fYW8umPeK63s7CJS5KD$3`Q^d-wR<-cdMh6`t$U%y`GPxz&T| zNm`9XC*xpEv5VTR--18&ncaBQ-!Arn^D32VhB0dfG|k2JlFv0m1|snR9EUSD+CuBD zLVD=FT4Z?{-Nzf6_6q&nmic-0%Ow}G_K#08DuKRo38#yDzu^eax@Hx9UushVCiSAM zY*Ltf-l0>4Pa`bVKf?5-UuzZ8)6)lsxO?8SnJb~<<6Ab^EX8dy-`w2a9o1?+0fFhQ z!WHju@XQTP`)UtO{q)O=N7T`wRck|+zL9M#!^#(@L8HO+sN3rBSNnJ9lwO7C4W75K z>Bt{Z8|rGjDr*2BW96#p`Z{9`)=!TaU0=d{`&^GL=&7i>`l^OASEDoWL_j84>;7*- zLA%MncH#*Ep})C$N=JEGxLBMnz9q^%r|e-X4jL&Lu~@^2QO1!bNY~PYCdun$dq>D) z*iEgji4X;uT(|YVj0Cm`tT`8+-ts$lM;-}Aw&uPtDJSHI-Vt29J!9HqM)h}+hz8=3 zP0xK3)ykvNibu2EED+$@jjv_tfqXjLzpZs0NZT0|*t0n9)^rkmn+ES~cQvVty9{K| z9FCSwM;hRc_8V;2B0&sRgl)h54Cg))VS7onI!`=bz7$!}nKNzC%9k%za%$g;6tVK6 zf==}lit6|W@ZM%1Ro2|?;FmqzQe8hd8}vubHCLL)#s+8bCN&w4MDIWq#LcM5sd6nQ zeoaS5`)1s5?lb4mwu4$TBMG@e($oan4eRHAjNN--TqR3*taZM#0kw!tC_V7M_FvU_ zfdouJ9vYy7#_em@K>TljeL7{G=t4%Z{|nJn9Rhn9zVV1(B`*))dy1w zg%oOODj4q{mvc-;7U#Lxtz5^b(4t|Z|=O%m)&b>){3AEk+``7Y6&=dNU~J4@L+t=9hv zt>}jWpu0lzxCf8zA9a%JoF|tLN+VEw$JZB;3hnloP3F;5??7z^(>a?S$Gr%W=W|xJ zeca?`z#gXkiJzT%*ZU3O0CI1`56g{L0jc?>X5#h@#Iun_dV;6R`WkZpUHyKzK=L!x zl_m|U#kTX}AEeFxo#WrI>Z4f%wXX?zg@wCK0W+^^zE<3W&15Z(xQ85-a`g`?SHlDK zc3lLw`DL1wEP&p2xE52WJ(5!+wPu|m5lNJYxo$4{7+glNQX|^y5x4N*=21OG+lV{h z)+nGl_YizilnqUt%kMXxxw_cg*?;Kw2BkIFh{`H|6ex58k09p%+LJuK zEpiHo#jtZ+AM{zdFMpYPYj!W^cywg_I&-!jrWJ)|r|dd&q$F4Ry$qz${>0_BMfJ3r zRtO6K&~pa@tATJvW6hcam0_>K;83&U!@V|Pv-`LN)zc85&{1C=7SLX=7>H`h=LygO z-fCnE|6i=VWmFtpw{S}m5(0#f;7)LN3m!sncbDMqt_d34-Q6X)6Fj)POLyb$(%j;C zEzdi~Ip_Ov|1d^Zc2}yqdROgQYp%Jt))~BIyc5qnhuyYiX%}jUZswTuj7FxKE0ShQ zgUIQ_Yc%SAzkd7blb&(l)O=D6w=>jnVRb8l4(_A#R*SUiGT5=u>e!9?9QZ7_wPv3z z6loKr_sYZXcdtejCo)Vjxb0MyPnqloX*1wB3l8XG^!;CIT>0Vr6PIw=pM+R_9KtO=q`L^7Xe!6uuR-Eh!wg#d=vv-nt@5j`4 zeFE!!pSfV1!_Mkixgi>(RcJx6QO$_644_R} zN0sg${&+&7y_%3WVw?pdCCFlFfNlVdslis^ct{??W^PV{b)&vE(G$!7R^2ikASl?? z=yZ@jGCH19@bl--eA^f|wLZ>|3kuEBY(UGTvw&(-r6Tob8Hj|={ZJ0EHzDAgFgPxL z8R_NjC3Sy|hyA#haR69bD(6E{a4MXK`vHKEX;iGY?*SnN3UGHwW_zIB`zRvf4qO&G z)=4Pr`PA|O>#p75J&1!)p_Vv;kblsYi9&xYH$Tb)L>?bzw&$n8UL+wbiATlp0;#u} zaOK6KbXm|!WlH6d@s@ZGdX1s|#V%4>Mwf^*U^$eUoE^-!LJDuupHJmCZm_^%FYIDy zr_BW>&|l_+6n46klSc7f^F`}>Z_M`?0&8L1T>Lf;wzOU8z)I5-mFiyvneKdbir+VP;tyJt>~B&xkCxiuz)1XL2gKEQc! zRxcf+E~b?=|*xG`fPn}+%I{g<|D=f%_>e~~jlOqZ6?TwtADQH~i6PQrz-TZ&#EaOmYrv$^P0n@l5=JbU5LNxNA4qBeQz z3~~|9kq;aY>{3I{nLX2)TQPLuLNQC&l^$%v`>bYXCi%$t?d%Pdv+1LJof&p{+7+8A zpQscGXaPwPX?GX48mFt+x(py&>j%e#u#ej2eg2Fzf)SdTYl~jdphV zyy(~x@(~q+%n?wA%rM35S#o0H?=#54`q%#ce%M#9ssO*5rk2*ucupW->o1B0x_hLb zZ1&}ho0u%t(Oq6%^0=M<04|N|8yla`z{C7z1XeodkeQp5HyZc&DMnTw_^89J1H2_Z zTRacsFlMM+`zPzz4hOTZ-r{?bLe69d!h+7mXZ%$mi+yeLhI7cxd0xIh?&n zYOus{k3S$~qL11gHkU7OD8Z^azT(#7hjY-K!az{`;KzO1b3mLKgv#4B;y1JwBH*olk4t^KV%h zaoJb#EN@n9)63a{QKBL{H}t(?=@KJudnB8S*BYx6K02QAw3llA_B*Nm5gKZ=6w&n~ zD9CV`VgBv|27?@$f2XFgw@Q(sIN*7it7WksJ$QWrzqP~ZjYEh3+drc&1`l5*?!8V7 zO3IH_@cx1ODLT!Msin}@?Wr32{B@K6Bz`$)4fh)|e*6g4+whC}BGOl7=6K0d6HOM9 zC7Zane?%Q8PNkNO#qHGMD(XDXOxEbRSVMOMBUe%yDgND2vccaPUL3 z0Ygfh8U+XyhBU-neuM?ogW#Ul%DwsYEsgKpgk1jFsfW9ce(^oF+!O^JY9}!`YE2;S_+EG0M zp!tUF>=6MF$L(&b)2khj=Y~C(8`D38Gs%$p&T(k7xgjMyg4Y|oQv#I0WsWAM8{`^S zdVODiP<|{k$Mk6QxTKzpmon%-kL&)@Gv;g{v!S;!-+FRYx{2WKu4iQ>yhdkv^vHnd zWw=v!Go*Eg+FrIA7M6zODRN25&J`|2QyaF_%zi&Io7Qe{lFwPHc1$A{B<67t^;(jU2i=O^9j! zdSEcPLg*#%wXCyD?{W+h+d$fR#M@(h_P*HBLiEZp=VOxrLs3w_q8V^oMxv?m+-A-J zQ+Q31pAKh49BlQIKHN|k84l>49MpGLsJ|>K5~Zb$ba#t}o>L_!Vr>b9=#6K+Fn#tc zH}&IpHK2wFB7yu?I3`ha<8XN^g#)>y!&eMwAao`kSGm8GnxI{ad86nR>L?6IdDw6vrH%R&-dq1H8eC}dc*MtfjX-B8mc?P%j=U(i=~G5-rn9QC@3}#4!J<9i8nZ` zuifvEbq4NmBW4KEMkjistx(v*QtCOBaEOB@fvza6gtFtHPGU;aWJP4HnlXirfgd*B6)?& zUbBKfNOvCI+ln{jvnhGbcjsrqtkk|?6ZfqX3EpegM~*xuDtPHk<~(%mCO(SPJ&;cH z-teT})@J0YaL(&ltTJ2Y;Gt+_oADb>QCmpAw8uy^39k2J=#vcKnk z@FZOAS*t`|wCe;AU{`yJ@uq(wz*>4+g;Yz8sIiVi<6Yb*$2K{I&X-;h($a7Jcv?Gt z3Fxb}l0#mqSX~o9z{86UyFACO6X@Gz?HqfHs_ex=Z30@1R}N&nv_6RkcR}-+_&6n{ z>fxXFASlpHo{dX<^3}}pIppow&BpXgETL1fWup31pPQ3wWBnP<6_NgCFKhm7HYcaL zp){5#WrjiUy`gYe@=zN0RdqP$zmVkgR*oDXfhCi1&1`b4I@2OQ?x{4M?VrSFNn2~K z(zUPt^LFBiHyt^DeCP zH(1QBFiI?e^4i?aX-X{K>;1m<5xS!C-m0UGwPolejCYG;kp{Uxbw~F+O~RpbwjNTR@@w2#+rAnyUG(by#YGofOO??Iis(g zSEv9tNWdG}+!zI@R>j&Mr8le>jDM>6Bg`?Ve;F!O1Ims#;(6V4r^__LA;EZjsWp2G ztkk&d-Bl8p1}_mJ-(v`G9JR;PsCb9pFV-}grwRnk)G5D7VvTGXHX|8sNspIQ%VH^T z+!=WZJh^0Ph3zYim&}w&M!eUel%GJXRqyJFNl<0-WcxbGXAv=V@N(6W$pNH!`3{v2n;&9>|cQdhXn|HUvzD7ikUKH*U3+>f1GQfDiiBrFn#{nt(YZ9$%KA6k+ext#lky)jI1)3om`txMLM8?L#n$Toc$Wx*Lt{f~L=!O2O!+kr^-zeso!N>Nj^yzw_5$HFk!@WW8 z7r7i_(cILOVs=hW ze+GZM+$1^mAJqBNQXW|@`wM(&Y3cFF2_Oax3+q{3&7f8)-p1FdHB$mUnd9YmPwaa6 zJaNKAgf4*VMqND4QF%ha1Edk2uyUpCQt%TnetTE24N&Lf-Sqc>8c0`>1uP7HqRq2) z{GVWSHriE+r_FsHvs=Js;fD>|r=7^F3=Kc+q`CE0@b%;1TSsWk>7>59@Dqvd1a^83 zC1m2@D6of&3;|0QcXxLLbn5P zV*uFj4S-y>$HlbDpAbJ|+W(863J{VR4#uzV?uyr2Eo1R{e0);;pKkRF%lyf)13&Jq zu1ob{OXj3dV6DMqHbvPw3OoV9zj-qSZ*OCx+aFCv{ORx60_4|R(YEaxw=^t3zuPb z@#s3FGnu$U?48Co2)5YT-tT%Huk(6CK+&hJMI1BR*f4@4LFE`xSkk);I3rf- zjqb=~A-SY}KD~k3t$6VP$$ild45dg7s-Omk1YA^h6lcf|?j}{*0VQ`H%gDt5FKhjF3yd$`lRVPNELc8l}M;L0hMc7iW{VpcquZASFT4*=) zsP@kiot6J^t$r(-wme4K9qqLK&XnS^MZ=&7ZTgoQP)9$p8^lG}Ps8!6RNFlFExpM` zwrIPX&s0wHr?js=n%nZ~#oMQX&c$qH;S=ILfTOE4;}j8iXz-ea5V8ATK)vn zE!SN~@CuLpZAp(#4@8r1SF_U-SVG#1I}`E{f3AIj*`o)0XzTAZ8+=4hQ8FIgrz^$( ziDoW>D{PhG=U=82Zo4Gz&g`-2f})SA%Bf4>4zb7^z^vVF*URnLEU7Q=;^22;Q^K%w z;3Z97hx0tCsyEOMvGb5y@&{r1sJfGV?E6ST$YXphpc6c&QMEOAdS1BSL0B)C=(c~^ zCvi%?3XhHGML2`6{_>q)m7;a0-OjTPKPOkHkp*%vXuXcRzw@TJ) zN2gFh;@OJx#@ZsO`TjJ?BqU2UyoPWUJ{qv6b~=MNn(obwdueOx*^85{2gn6A} zWm;3EC;}y(o32M}g^1fdeB7AS-bnuP_b3S#0~Xt+?FNi_$x5J%`NerQJ+k<4_VcAn z66(d&!M>H{q!n&*-EwAQpb%xB;D$w>1>4g}s&l;L+sX+@V>Z7hBAIO24JstuzBOND^{|c!WFA-dYj>*@PpsRq_m^)lq^hOe<5%{?pcwLLiY~4lXzL z$e`ju@*0@XLZnjq>G!kxq~l47?|hBi-9xeEB=4Zvj^90&5x)rncly}AxZbG7p8Fm{&sMHqc>^1FX&-Fg(d{bf?+y%GtavLP%_TO#zLL`FtUi9NU_=6R=zR#) zU=LWJGpn|maRa|e2}#SrudW~MUZ96u`KYKZs$Mu$7W}YM*Qn7P!{iqk2ft}%MCNzg z^^H3+*Cj;cTV0XrhE{%0yhr?LTWL5kW2)M^-a7n`Vh>3mvUqkos<*c0d3wW#o)5`xn7XRG2O%XaqH)WRySKr@9N|BX!qcD|DmFp!@ z_=U4SnNH+v$p=NGm32Hm*@~Fwb5J3DvP6cnbk%Ydg&-VKf?f^moofMIKa9jT6{CO!Q;7!mo1a_a>~1gZD-#T1Wz^mX6AIf za{k~3V5hpFtAaQgiDBk@I6Nz!7%;%(&Fifxut^BW{gPbgp?tSg&=3Qdz2lx`))nN` z(bB_BHf9H|SA9em%^|)?idOTQUfP#4*Im32;WD)4p-km0crGT+;u&&PvP6xZ^Cd^z zVxKRNo1*;1I}fUFQ3aR^trDoxw0Fz8Ey=veG3lwjy#)4R65`L+pq%_|{LOwi%gMI7 z6BRJ3TytYC2JXd97NXhk6@)@(;e{D|A6zG&!!TRvyiCG7>pc+Vg>vWSfw5H7D;dF3 z?E?6yMcyl;+*xAM#J2M;qLW|+{PzLHN3aG~J--`{jHB;ioy<4u?=Q8}kBr`s@$zahw1Db|skXJhJu3^e*{iA}0-f&A%q=W3yG+2m z@-l21M?CucA6mUUpM-+ndQ~Q<(`pE79Pt}h+(2Y{R7caY_hhXjYAnKX@chAD#7D4w z8c|w%_9#cj3)!5{REpv+5jpnrm3))uRMlW?mLOc!GZqv~oS+;KM4{PBT$x(n0$2>K zIua*@>pWkZ5#nc0)fmOpYS&$iKCtHPi^TT*E$V&ta2--kXG^nd6w3^s1% z5-FKK)JNOj#p#jiB?4xyLG45-UTf@TyD4tKp(fH+0u64_Z2q%mj3Y)hpjf2Oy9%I~ z5d1$E=;5HEc14kh6lyiI1O9FZAXYz`j#&V1kLf(FofmtvQjzMOMLXDj$6}n zgljViytRu@&H|rKQsQ8YTZ)=$cB^Sh*_Yl#@kQB|KZcV!Hp&1B}zI* z<*4eEC)seZg|gF!QMWK@FD)BCS-u;%WrCXTBq_8{vdV0srL>rC^rYvJ&vG*01n&JC|=-w;uTlqX$zWDlblPVr8 z`BH68d6eizXRc-s6q3!?myKc0z6hMX?gZzdEaq>G0CF9`-h$x6x>rck-9dV|uo$nb(QPM@CQ>EE!7QHcqyw6Qvir~`pPONFsl$xN& z8*w{%CClF?(&=YKUe@qju|&te+mDn!ttAy;wy}MWUh0^!vhqxwDC+=!`f$MD+xaeFG{ zR762E1yvdIOi@fr4K^`mNX2bzUJnd=az$2TUP(XM`}8%Jw6@vGDMET_*~OEQqWhy< z+Y)?1J&*NM`W_BVK{QD~wMcey+T5&q_SuLx?_N&L0BjRFuiWlyedeq{@ZK*JkOWNG2o(4aw^(92!apl zWSsY3DQ^(>kaaw$s9B>6o-H&oARv;FnJ0ku#_=0AH#5-R+Sm>9hdx?R&c4+e+EFAw z`kAK;O@##@y6 zPLMk*nHgJHxwVNljsmy+`}kk?6pK2w0J(uvnc*XsO9;a4dHJG5Q(FW05Qj;yQ?z)YM5gN=5c;Rse@2`%C(K54DK0bHxr#SHu6&+iYx|E37NheS+6vktLFbgD3P2PfK#oiG;ZDkKtHiW09$-TU}*uaW0m*ePs(^BvM zDo{4lX2do4uQ~&#w)Tn7V)F~29mZl7pe9FcJ>of`-R8Mt8}=ptQp++R=gQu@PERaB zOI?1nE!cs7)Ozgy+6CzMAizQl=o3vrp-`zS05tLudW1eycLEDHDSrfX8^`H3(I+#q z#X?OG(B2RM&E>9ZbwT~^Q%K0&$1b@|`3aax)>%3XM0-nQ+0Vt$V}Q9nh>VT8E1$?V z5NJ}o>||g~&KO-Kqh^Ym*V(P(yWqnOLdaYw3)zFWSP(z3et|K2Jl3TnW?PQ3=c)Z96DDN+0bo|NhcB`?@MSptqU8ED*AMJ!@AGDe6O7>k&uK1*HJY>~K z4dZ(RbkxxpJ|zSbT>JN(p80>URI3@g>`d&>bpf+1rxtO@EvQE8t=)=+$$b7AXMfW& zB55kUc=G~ilL6|i@HX~uzs8!45WkDA5c4Wyq7X`92%50r%RTI2w4Mv-?$Ph~HKraE zM+XzE3^X-z3Cu;Zk5Zk_zOKT>5HyNpG-u3BwlXQG4MT^21$HARC)K-&cV8^zBsp&0 z7|mK1DU_{lS%Cyz;ei&tRv9g)zhKB{j)aV1PFX1WjxKV%s9^|b?4Rky(MWMlnZ5hj zLuS%$tW3S!9wh`mItjY9pDBsG?49n3QZuj1QA||GPo(&coL*_NNsucKFP0?eH$1e3 z=HxgYVlAJscA;;opEr4SDKGyS1;e`0DPWXf;DF{C-m-nD9orjzhW5h;bo#@WiF5i@ zOwlPMLCj~3k*5p1x1b~OF4w3gj2_^LKiZ1`8T-~y5U??}88ekkKX;rXnRxJsR9(n6 znMR!2(Jg1xqd!-BBK$Le{>O{<#>*GOPvzKs=mRGMN<~7Z(=@M*sC=1?Rtd^=bnG5edPdtJYZ=BwUyO%l=Y;fa>fr~<0hBPg1*a4Of7sw3I-XgwxTFHI%m4q5}%jJ zg?b-t60uMP-h+ zcry9|DrU7KHQGZyUy=Gl7B`4u@T^A{V^M@?m&U;0FF4aAx+J8QR4nBZN+qp>9qoSK zwrPa3(N-HDr1NszurEGe$fs`vsQVi|rZ^KKz9ic>W<#&JlUpUlr9%+ff6@kjWGQuG zDsGyeY^|d3EO9>>U1pq&_wQiEY4RdfyYioX>s7D^_vve1_Ta4?8ns4ZT30+Os$N5V zr{YRea%0wg|8PwgzRbSh!*=-knbFD~o9#GhMVf%{FSZGWj1Q&{w7KCg8A~SCR>^tq z9-~Dg`*XSYQHodtB|iDwBF%m}vrd+8Q&$6rt0itSbvP3;*WI}wxMJu{o;cn+-XSks znGOQ@^)pd+*=MLVQ`U{xqDX!zN&Ppjr#6~+2Rq!hM73OR^v{>3-|QCR_vgtc*Hs;p zKVIwsh_#f)t6RW$PHM7ZbHHjfo5(ypQ0cN1jTd2iLH(s(PD_o|?PmuM)o==%_LCJ0 zX&S7J_h&^nGM6pt>gpToSqDtCnhlKf^z=ZZq8CY$y+ADeS(P#dkoBosLFfj=qkPty=C@gQRbUkoR*H7JQ#-V;Rt(AGZpn4}N)ew9Ps+%H zA#=CCE;XVoo?2EzH)e=1H|};IcDdpqd4%)mHJ;B9P@6MtvpkK=K*%HG^`c7#JzhLo zZxyNwKpnsM?b}ulsyUKQN1yW%&ISBB%TF78-;3ea;ByUvk7MBP=}Q}fokn+9zKFX*-g2aX+N^b(<?)(;Aj_|=-plEsiMTf#P{4jTE5czvY9pBCVp zJLsI|*a_UO!%A|}R(^^j8ivn?`-Z%Dptvx+IM?~%^*&8)e1cCVk6CTTjbfGIK7A5y z#OC5$39xxXv5OQnnA|-n_uEfTtuyrJxA_r=Qyiz_hsV<@V#Br!iPsHtY|WUdnw29@ z`?zv%Qe{N~1l19YlyI`%GPlr;1)6Z|d)E+-3sCIecT~R$grlL0J(~Iu8I|4KxWnjXDku3N9$m&*zc3Gr2spKAO(6xyr-1u;H8^CFfxvTSgK)I|NI+WjOpJbG_ zw3P#i3E*e!3ph0=0LH~^rnDdWa90GhA<^&MrXPQp)$#tR*Mk7ClYoF#YSm?hPNQxO z3>F5K0+NZh7UlmiOSiMDoZ5mtcp2axIN2E>U2Sd0@@`-xS)zof$mEg!Oh!O(yAB-~ zY)DBXV;5)nyecc^N?1@wFs{K`q&I06TdtyA0oM% zhX>w8RKR+&oZz|~Fa$1~29H17wcaleYCrlzKzNc5rxQ?1G`mTp0GG-gN}>w7WW`EX z^iywT<-22#JdaWY2*siF2ngu=0^3}b?zXP%ul1wJ==LB%J3$GfLWi4aVHGLfKkf1* z3B(+-`Bt*A=Av*VTP!bGIm@KA3W$*Vig{~wQLG#m88Lv)AGpoK;12(#`CzdJ zVpu8RS12OO!n8#(mmpF6;&$uImd}>CZ*P947qqt~U1akEU6mt&2f6V=mdM}3=Z^|W z`(ZSdZ58}=cw0;Fmxa`J|AjjD{)IZbmi>u33-5T;ne_2|CJ3Bp6Q)Q-@ledNtEv5o-lP0X`0y=oJ5|^ z@yqW2{b_ftvt&459?nv&sOwFvR8q3&LE6vcHmM_)lB8x)s3jFpzd=GHhb<-ld^hl! z8YD_}f%vE6r-$=4xd~(&gFSvt;IJ4KYmKIe#Y}4IXB<8LI1r1tKR=1?o6)=D=XLEZz2Us-(eeDW(kBu!B zLBM-_IkUW2s@vi7w6X>I-Wn=tvoJHeKsE1l6-uU``d8}ry#*2k!$2ngyl#dG-Ct9f zOvOEX1u4%wu2ZecKYR(kN1do3G$c(sb)ftb==gh&e;j%%R7G);@ftydK2Ekg6CaSs zQ3YC^3Ke~pG)d+a=>`_ViCe5KX`$7f8j>z(OzTY&Z7C&aHFy*86BmQ_H1;LPH14=9 zB?%j&pn$98mnI7kiPC+`#0d`rWr?DJ1s~$LmPU6f>!A?Yzgd3iD>7{?T|u*t&C2v9 z1#}hMU#A#Smp7d^I_xc78|RW~Tl>F`lLiXy`SmLzh=*P$1A&0|PLj>UHI2S(;cOBp zkzIh`cb&p|Vm1_d@f#nH~g`N}GzJsz?&x3&{JNWGL59(oB1381MhR z-5lg|!#qeFd#ha$+w+iM`1R^%H1a1+7gpQ#ajvgm>X#WvH_6!-gSJ0%8K|2m@#7uKz|R;l7fB(l)8E{ADxP#Q8W95a&VCl)B5~iT<-CRrGB{_ z;F!N)taQRz?#WqSU7zO>c50!n=aQ28FIKv81Jr`e<_>G$N4qs+XqkM*xxi%AL8-`TeJ!5ini$*mxT&UQDCBmSYb2lqhefTnPRI6iQ!iTvBVXucNW-zJI4fh~r z)>w6x9mc?*aNg+{3%Jiv?WUg*vyopBwtEqG5no^^%NL?K;4OR~xS+AW@w>dUG`E&$ z#4((&n>x-;#(aCn*Z`7EtJE_LVYZl&#fZ@Id5l~9;wQ9=|Dtk#4F$S%is^0j5b^^L z!}a#Vj;R69v50p5E7O8Y!A$YfX44HE0@`CnMwr=4qeT&0dk@AWYjINlw z7PnwL=C5b~;2&$=!equh#lQCDN}Tw+NVP0ajB~$N2e|r%=0YAo)mq&~oJ2HM$|nzp zmJWNw&Jw<)fs)Tzx(hX?4hIWy?T=7gpw7l@w!F+aH7*YQV6onKxyg~oqtH?b2?;3= zFi*hz2HD}^<5TIh@c`91Ihu`jZV<-26}I3pZ-|gEVT14$Mc?MX(ws#Hpn zTh?ms+bceEK5?qbcTD1_2)(ghYIRBZb_RrbOt6}btcZ!Y(isB11?4TCQ*aQDaFqi= znk@v*hzFl%A1e(oyEwuN9tWaQm+p}P`yJgYkFZAZenP~v5kB4461R!REAvq39Y&c1 z`Y#UB03;Pc=2B(3SUc>KqMfA($zOnazjZ)ULwmYK)#j3(U7QoCHT483Y<;!_c}I2x z=`Nxr*|OUoCOzXKXZKWKDY-6gs?bH;V>P}e5thJ$C)qKz)|n_5Y^P@hL{BO1Mie|u z%+0Lvhs$;r62h1_+sVL}`ss&PH-)Y)Mb1hLw@0m=+rSfZlOmCaVD`KXS>o5)5Ys_o zvb4J>Ksl|hYaOMAF&$F5HiU11W`~2}*b5xAP6g~_Rtxtf24Owz8~8S?Uk_(q9@QrA z0*$Q503mQd*J3nY%CDZ`dC;cflczcL9lzyGP3jU74TZ+#!!aU)IeIyIb-~NrZZgmF z0gL}xqa5)!jq7JflR!7x(RKm~ra z7S%~tK=SnBR=VU6Lq5t=b{?>aW0l7$Q}1nX^$(e!}A|-5bx?9`-CTv2c+5X86&t{c%HkuS~&^Uh|T48@}UN2h37yRy#V1 z32vs{?f$ALcO9zXQ9mWOr_2H<=QoeIu5txik+}#;>6h^x$*mT z;m0;?C>=a-WGktyYZ>ND99v*JpNE>OGOZA2Mz2Xy;c~n#{**^y!@P~X@0N1KX#1)S z=->XgYJD$T||qv%&d>Ku|+aN$%afD8|;38bEWpE-;n&{MD-w3;<;@|x$UkD)7JYZsxb zq6BO<+Ja$tbF=ZHjoU>~L%TL)g3TTs^6mKJ?Y&nVRhalhac@}g{7 z@<`I-aOP4?xnk-pu9W(#uN2mH_8a7_md%L&=4$B~46rB5-}gRhP+@BqU}@2~ zK7V)26VK;f&X{Lwsvb8$8zN3HM+vfMx{Yl0lCiCl9|IT}H^q~oI3BF3+Erq{jIksz zzr$zZsN>@Se5W_+pHFFKWlDBfxgSgvtWYn%oKbq{o z{cdpg-Ew4MvL1i0lyUOpCZ4ZPe{vJMC7H_slXdE?af{12o$+A)+qWNVcRr%&I0#Lf z<0Vg_O;~Gx09`o-U`jAm5xUFh{my*`7$h-+6g!6{yd?Mel?p`Go3RCLZS9{*U5^|O zPdxJ(4NhU&GI*Z{ed(;VpS}5cMcSExZTx$)pwz7qg%)cv1AP&ydmS40k$dh$>#EM- zPMmvT*J+HzEi7ZSCTrPrS+rSn=+|2v;y6*&cE~%Xlb~42{ejaU!9pdbE6msTXcZYn zo&}TEdW3F|bBINX!K;SeUO0?`kOl1f$q%Q^-~x@ZLvpFX_Ney`AzQ=tOxCCTv08oE zK|vobM#FN`pf6z5h!_+f@(q#TydY;Q7i6w`&xdeoyGqqjS;t4k=C2R|k+O%o0ZHPl zGx;+4`I9d-N}Lo{vvIgnz+TJ+)Hn$|qor!5VJj9eWTrK9l?@sI5nH;|GOVzFsDBiOwROdcdW6v|%I zJx#LWHRk=h65Bf6_)4eRC3ok__dXE{rFtR}S%)d+p1ikay-N|z0~JMKrWdAkIOjK3 zn?nzyG~qYp{Q!U%b}KY;whs;Y5099kY(0M%e$<9E?=28)}D2$4}`CG5CgW?=lul>Xl$VnuB!IzGO7 zg%2&?yQg`dAWy1^#3vL~)WXu98(tV)>@Rh2ZXL!GCn_%Q%{BY>+ilP0UqkSh0ljeN zBMHi$%-+f+F$ryb%!k*)WPehs9{{1R#L$1fWPoD)UzkSL#8u;x$%hi^B+T=ceqE`;9~syUwvqQQQ`&S2UoTr z{Ob+Rzpu55sA{hY=DJE`7G6@x%kWF~!*4U-efD-sSiX<8Xe)G=tP|%D7KuE)Yd9aR zdTuDEcmpfOPADm6yDcc4&0mWe8bBMhi7jr7ZYkoNWzi*Gn5wkIV;|;->P@oI`ye@p zUaS}zuj46PzTx`RcW)>h)#AYmA8=%`pUv*A_(iyRc5<-2GVsTO!E1KQAau$A&E#NJ zah8}UG*V{FQu%)&{yA_5X`jV@?2~IgN}j5FH9Uy8Lm`?X_1fqd zIr_1Kl5rC4Xe4(DC3hXkv#`M&8@ZFM)xA{g=IDk!WM;a8)5{MwpD8@d<31NhqS|hw z826QZxLH?7xnYCOn^t*~t9Y;UfQ~qf{VDO9Pa+B5zOvu5#hXu!tAQUHg-nOcS!5XF zwGnhgcM&bQpoKK6i#_OZVr$luno)2f>!Fx7jd`t_Ym+0#B&!S|$W6#`m6)(KA?D#K ze*u+l%p{pxq+a79TN|wKJ?l9e^XN9-qSAT?T<=>Y>gTxZk*<8K3m~>v{lX>VT9n$& zwDL)@mB2-Q@6K_l(Pnbp?l(fbzo^5l!Z-`NL8>4a6*$+Mx zU+k^jnQ!{J+?F%FquSzxyNLYiJ!;0Mw$wI?J;k~tej=(Qc0uwJp+KXWLLE8@ z0~ZZqV#3MdJ|&w2|nDU*>BNv(2TV> zU_nUg82B%79!Z?Fb3BVVN(W+fD41#v5;Q;BzW*j?FFe+uCD?4prFi&d%U8r&>+uT7 zRw-QnCPP`f9eQhC2V`YT(@Rt;^jL9>Ag`2*ETr8tUfvJmoAY@JEn__an&kN1yw9% zzp`vU5SKJ?i0`+BN|OpI@8`(vc)T&e`rTM5igCc_J8qEe+{&zcV~#Q06AYE2n~)?= zthvDoqT(_`W2#>~45`O%1b?uk#{BxJ>r*yr^o{K(r`zK_hdCUZVA1adEA@lE?=JC! zqc>E0V?7jdb}lr#mUzP>TqNVYqzkkpQDQ~aZlrc$(UUrl!HPr$L)({AT6b*Cd^llZ z)~!VHuF{05ORQ?-eK+nhSXEH0F!3$DPiZKr%~yUxaP%pQ1x8FMhHteHjpqV3J>f+O9!Wvr+e8MdZmJ~HjXm0QUq5|sgP}^f z-4tghW9)C#xYPTezBlt`PrI$luXDFSONed5#d0A`*ix+95AZrrrXW)(k<)EuSZWnE z;1zbBdVk&go(md=z`SrAR-G5|8JFaT{d=Uq{tv@SScV01SoDMxjz?U%uEE)btItSL z90DyO*5%tHsmG+1u{!6;+#ZL>d+ZuDT>Y?9i{Px$YAx|?tP687& zQ06YF-V$7J0`FjDRFv4)OTp~2OWa8)#96ZvPI~{9)H5)Qh_Ayb!!1Gd3|(m1o%YsV zM0EKliW+p|Biq4q6!?W@Ty6E0A^{BpSA?8)tD-eA9=lBJOZ;9DWKnHC#Gp=i!%2FR zTN!fO-cMum+vaaKQiO6S7dD2+=K>7F z93Gd9smrPOa)v3QFA%aU`0)gPi^(HHzq2}jMRQzC?yJ-Ho~Pf80os4ZDbV$?q>VU1 zmxLl!EVhoDjC#frNt-T{!X5@tp-jLSFMu;RPXjmFL+pUwZon1eG=s7nCb)Q*k*_WA z@<`_yW57#a$$)Hm)N|u2Rr-yINHm>x8Xsay0-xV6OY~*aH-uGN# zIbb8WM$ErB?mv>*Dzkyn>5{`m}E2ERGeJ&MeIRH2)JTVWB<>bph3oC}k* zo>xv<}#}v)Cxq(A{DrP*;Uhg@-GXki?i_q3Z%4x>RT3Sx;LIFNyH}lVWtIsDb0o%3^&_xNVicY= zxZN`=gg=O;SxL|j=^qTa#WsNF}6@(N}tQlG3>C59qA0$UD}GMuaVCd=?FoNP5{1PM2&UYYmhbw#%PWpw-jUwY<#A7do z7XQ}+A4dkyzD&~>jB|6Op6N18>|`n(ns1A$dC}N3^gLVwr}({}|FYR57B!?SW)sA$ z8N8eW$H3_ik%T&zw{&7s%CYbHQms>=aEvBEoMC!igviwjptl{~(h1zjJhNfiMlqKu z%@vw8Dpjup=N(~jSu(n{u2A#dOT(@MJ%%U9ADGjx6J7G(B!~Btjs!p}qLPybLa|w{ z?~dBV#Kf|I868T==*J&TqP8*oq9Ojntd3GL%f?iu?BM z+oSM@Bs|kkU*F7*s*~cDrwMH2eon5A9M+RR(!?Tc?~aos=a8`(MS7FJ1xsr8@*~x1 z)9xjuT*(`%ASyq+#>n*ecldp^neW7BkZLrn2AxaP=IopNH;QMIA9W66vq-&oGSPd? z&tpff3A7yVH)J7Eli$YsUTdbwH7I$~2#ogVD zdvSuLMT@&bDDF_)-8HzoyE_El_IKahpWHWZ=KjHCCfQ^Ud(PSY%14^XEw9sBV2;?u zROeDpe;?^>i!m})?Jn&nE!dTE{|J@RVb=Di_6-sKd{lBkjcMofagolJkzHTU3?sas z+H)sLulF_Zwzj@t^RiB)JP~(q-1zX(4F>Np+jU-SFhg4IWXCk~_nh(P*I{{B%0( zT8|TpkXc$8>F*yj=pPjLxqQD-Yt^MKJEGaIn4dxyConbO^gX$MRaXgLw0y zj&H{LV4d_evKNPS4piV5YNtm`CYCF;g>0YhXIpJcNlR_p{B{wrUuI(xwAQG0E-h88 zWCog?K;(`2v)-RPa70r!AV%!Y^66vH%%YNRlSAr274~?R)a$%R*nyr#A6^52R;DtL ztNoEUT+c}!s(`1A+i{>^m2?Z)OX)(OAetR)gZR&b?w{w%b%ay@qKjj7JHc_(j zRPy&Q>%wM9=YMQhgKUQMy3JS$?TNzB3`Srxg&pQe=-Fwv%+Rc@dg?{ZD=pURZ6}}jhxo$z`nN)|Pr=>wx6s25rKFYfwi1(0 z|MvuZu3-U4*p*)QjsU}{FN)-*?-5XLnyfNc2*F|)1WZ%`2LMKZm1uId)=~bH{xUgu zSo{$me+cl~E!1z}4aeu&0h<57=IW+3NauCgo2wwJGKcOAC$o9Mu4kPOrh)@ejvsgU z@Pa*2f&G)0pAZto(tGs6G_qq{l{Q6(jZVceh-#2c^h9>hTBS5)fiQtA6Z`xGPd?uq ztzq#_nnStmssA;8lG}Tgm`Yj7HeY!D2K?Z0!v>?Xy-^Xbi~D(o+bbh>v~MGRP0HC> zn%BzJ1oybJzTYM$;ZaLhMv{2_cy6JEC7-^8KaQX8A&XyZ{iu?J9$P+p-AWzFte$T| zoFsFV-?9%YF61h|H}FvoZls`(-|$X6g;Q+jT3l2YP+9u0O@2N~Cd*W<@J*B4?*6zg zQilY*VJD`U+ZQATG|9QhzLI7RHv23sV~KWmgrXMThAx3qEbKCl%CPnusv6*aa4jsL zFtAT7nMpTLl>l_yz`cJ`nPegb){U1fot4L zJ+vCia*%lsLS1x}^u8ojvQ)f=_?j)zPLU;M-4$f_)CV#Gd1BX?-7~z3@{EUmv*gM* zkoym+SAHEAb&gC&f}js`bvGC^mMi`?%hxK;t$*V`yWLz~&WOcPYw!yweA9iEIGPlX z*ziq0a|0oX`$Y#L-t+gi{55L)=5rU--j&D2R&|0fob`hw9)ieoc z5O3GYPt6jWA>H$YQmzJ9*r+j$AfgAEplC$S_Clq|E1O9VVk}$l8^yzOh;*YVf^q-!7FS8wjB0iud#uCX~6O*$1{wx%7YPrb=C| zOf&eAF-bk59_6pPXs!nNlpZyFQ^mEfSVL`hFwC&*2I*$C-?a?czRD3_FR6LpYp@)f zw;_ndE72{npLSlD}F+;a|dy$>--$X&LK6%Hyii z8&HZ#EhqA-yYDNWCCw`>6v1-+IEGz2wj1cA`aQgQTC@1PE<|SctI9jWeBc%^7!bi+h<|u%uHT9KMXv~P!LlEWB{smIRy8BucsA z)-+80nH*pr&J(S*qll^L*HWn9tNdpY(;n5UmlH9iQkp?^7~2IdauP(-KI;j)zOgCB zV$;h60Kkqi-jvP+$Y8t?E>ym-ZF}#v2qu-6rb@6$QRw)NP;vn^xF@u}g~IAM1d>eDH!kG#e| zNkzx5a*M14xsjhh$eA+41{V+{opwanEVL6mOn90aqA=`REFo!0VLKF?3uDQC4UUv? z-l?~XBa@Z0`M^`kcpxX&UT=0-l6bM2Da^KTN03Zu!2;i$D~FLtk{>pnF)uTiaypj5 z_cP1UIBq0^Zz4}M`zZ%|K_rz~OlX+)lg-BWeD4_a82tr7gHZzUv*eFAHVcmvr-e64 zm=_p>BZK!^pCu2yJMSW1Ofk(zlemItHAde}B{CTZdU<(qdoSGZ7J)8z07Z&PGv@ZB zq$G`pm6v_C^776+xm0SMTARkh(>`MG@L)V$@bBO4P^hB@AVH{9tj+*HdAVM_e(m7s zSb05IvZ*DquxP|KfA`)>Me^PlHE%B{34K^eKm4}bXyVYJXdGQ{%vE+AO^JOktXb5> znX1mX-V*_Mgkh+qX4`Q1PYLbJq557dOecN;b>IQ&%(g>h(T0^2P^A7XR;=rkU#gVZ z9lOMAj+^8=ZW+DPpS5-;OpuIIkZ*heox)%9tNt(rv9q9IjCGH#WL7I73=^J)W1W2xokewDy<#MKG_l06Kj)dT7 zu{mHqL|-Aw_gWKfoC;*aP3vg({A>C8Z2R0TXvVim(23;+_t-YG^8BtXh(#=cv$)cQ zP2?3vZ_N~W3^+AxUy3`A+sQlJNTdBv7Z8zHpxO3babH>tMTq{xIBTC=OHM3eiS_?)E?IA|Si@gaJ4dGvb zwn0oYw{<`8_hxH8tUysa{paKjV@WMe2ADuE)hBMW7b3BM#=VFan7Rw%;%3S{m#Mif z+d>^Pr^Vz?0GKwB|5d07^y*?aXYqHL>X%RW&gS`eAMV{itL#@>xjgJmOvr(JM5M5q;IgHqCHVK>mI~cJ zKd&i|p+YZViHX=^p;+Fzr?5Zqvq0$+oq%ANYt_U*(0-ws2EfAb;d9#jy%<3K@Zme) z<)&J!9zI>H@h|-;QhPl8_K*rW&S|aJxuyRoRfK{dT;AnA`!LqFenU|(K0z=nmFnB9 zDtGm@X^ik?GHv~tBMhxe(Jl3Nvx&>q?&=EWaV&|ggpo zbLdz5FI&Iom#+pZWMr2Ff+8R59-#3W8Z{s?GM1hR-^4hxaVI6y*71s4WgIo6dmV%y z9*{{cGMrXNp;2iBp=&GAQEXkq)r6QX9p!_e87xb;Is~o8`#cgibrm$^!^Q`4 z^>S_9eEE1j)ZU=GVh@5m4@QTEm9l(G^#EH^q` z61mxFH;PkqQ~X%J%5^S2x=cf3jRc!VWOR)z$3sM#DmQ{S)K3QOLyD{BV`A=n12|~r zpXPh!YfYKzGPv3lh`*}J5&)dJt()7O_1JuzaLOgN3VtMgG!;kf7o`@%b7jFpp_w+0 z?JCLcml8koR7U94=R%CIUT1}O-u<{p6hko8?L68%DF3H)aH?CVh>Br zWbx9`gE{JDf9<=fDu%3VREp>!I)7%3nr&NrSeCfaToy^L2T*`O9=rV8MP-HMhe~o0 zCHd7c=P-PSS)=rQ!RBJIg^uH(f%w%fT6;5N9aIB_x3YJ>fB@Cm)qqM4D@`Rkmqqf_ zk|5OnpaE2`T&As+AP)w=&V9cIWF5)0ts;TQ6_$G{wDCE4tqX7OfVheqFj+*xqIch3 zt0%6$XtbQ9gabUu2HaM?&Cib_g`N%Df5P`qx)Nt+XWt(bmlptigv(uMzDmA)7#>Fm z&}Ik)L{)B<*4boPBAIbfB>Cy}l5&X5u*Hn4uNec$Q_(7Q#m0l)n$~0c@qGMj`88R$ z3b6cP@z>G!HVXOB7e^4;J;|bEh*mytjmci9+a(=Wphh{O9LF-}v3pLzAM2?<#9kn* ztV=qpU`oC7HXZVq>2}7HRx|$EHkz)9jVwuyS}k{@8B?PEo{%Y? zdQMXK^JaWsVh~dU6_5G&60)Ws9##D3&_=n<2dSa{+W98|8toQ#0KiRo;3F0;*-O^c)U_1kbnihDE8T!^1ghIue&_Uv-EZ0giis&QJq@mkV^EKR z%OG&~NP5)hN4eC3eMfNQ%dvY^MKNWCODLYF^#8|>vepg?%gL;-nQ(i|JpjCYq~3* z$sBESXg=YVAF9ih9&}5JJ8wtc^D0!C{x3CgjjdsH{^VGMGu}dUnOf5)&??LA?-WSN ztj&atV1ltuZFR+Q@HGMLz)29jJq15HER=LM6jtq$4i2KI33 z?tV&=p>`YtQ7^O;GjYTXs(o?$Rj@+QTY?rHO=EARb$xzrv@5?j>+H)@U#e~`pq`VL zm!-Za6zb5jLMT?a=8WqM6_=Y7QUZD1jQ zmDO#+dJc${y=FEY#MpA=sWKbM0v>z+(j;P^yY;rh>aUUK&n_kiug71S_yn}n>-qEI zM8nYRbugprO}Yxdn#;Zw2wV$0lrj;c{VpxnivvQ;QI-{dU6~fZ9H=)+ojQUTynv}v zVvO;7PC_Br`)Z1GM5;7r|IbWZfnMMcBJ}lI%yM{Vd}!4r;$iSLE{Z2t7ey2PXMAvS zt4fjUwBnb)%(DtXyg9Aqe##_N%;jj0ey3xl>I2RiWi5$aKh$`XSQBA%DvYaaOs|F( zc&I?+S475K1erEO#5*pQeR;u#HDde z#dA?OeaR(8llUo#3h_~dc&yZFJ?!RvLu9e^SE-jHb<@G!^KYe56^9oBR@kF+?L5vL z1P!X+9mM2qDib`%-+SqgxL!$07?!`V<4&b~uNnFnvjWzo(QM#;c`|%VAz;?gMJy%o z8#gp@J*?nwHfs6pcmM^Aqdol7gIfO#%@lqVl z%1bqz$dAuy--bCFjTLJ_?NEIO_{DJrf;qP|j5i6?-L0{^dn=Vj9;@?CPsnAXc+yyv ztwWk5iEQ5c+6x?IBT;3gaLhPiCCe2VOFk(`C{yrRYC$9Y5IKfRc-H>k3=p?R8Iiv>3wvU{rf$H}!Ifm?LELycF61KN& zFNX;JX${|0O{&$1ev0v7{dKx#{C6LTBRlow+5Z!)Wy!Rgyp`!C;!wWxZGL#jR?It`bpz zP$kaln^WQs0iAiNr)*{VEz+{G$l9edov$AE#>u?Ak39=1$jO<1tO-BEZVg&ro;_1I zYrHe+1q3y>uiJmU2IQ0`0XN|f*tN|Qoq#A_Je@|R>#;T-r%iu(+w4qgsD=KaX%Rq)N0OtdbPsyMA%XW68IXpr_eeR73lIGU zra8=N))R6G82g;K&td-#ENdY3UG~*TU@Zj?W3)&y>sxc6?ARag2w?T$|9W>2BkQpQ z`h>P^jTJ2y=uWZUXHm#oVS-2WGEA>W!d9*a$K2+H!Ze+t6zDKEI@2ZSg}jnU!s-4f z_e)8RJ02<_!_P0%FZq=Vd4_^ufvJK)ZVUecV$eX5$=rS^4n0`ZaZGD%RYzd`qRM(`T0$bUz(M^J_^) zSvDrl!LSqI;doD=BI!S1NdAy@ZH6T5xTVqr1)Oj>LdM;ujl^wu2l7oX9oO|Sh7@#- zC1C)ifE8WYWyym;LYNb~l8icE28V<_a6!0{B_DXxiJw73A(9Ig9 z>T(~TP=pMde=X^R{Z*+2w{f|6WHUuMe2Nav_)0`Fqz?zncYVe*4bKfB03B#b_ah;a zmQTDn7AkHJEZzc-G{j=x-Og!IGU4_4(u4+kf8%M!kUAK+%DKL?F8=ROMoLJ0=!o}z(OIeO{kT7r?a{enk%(Izk(x&~U@ zNR#n9Brz~e{{dmdhU1tiBSBmHERw{<(3EL+Pxqv$CKdVy`g{d#*I;auq8*0(2fMec zAcFg5qdl*WA27@FVoQ`6_NUy)sD1_2$7#%VS{Vrrqry6@lZ zs3#QrU;jhE<4W?SODG$lcoFbA{|3snDiz+ zAu;_t&Wj6TBk8ancd9qX6%6|y?9?mjPi+>$kHu5R^`azmmiRvp#=tvCd7Q|X%d2>- z(Ywt>3*U~od1dO?$x9JBJ?x#F~ zrE@`bO@T&ov=cSzQcmf_qT>KgFnKQTEd#9yHImYM8rRZ7>=XVChlTkGri9~KkCi$f zt=7B#XKzTvnq+yy8~Hui1{T7vwCe-=)&z%jAN6c{PqR9&PPlh3zUypf!r|0-pgJeX zujQ1fK9y04r~d-7b_drd+8~IjHzDoz<<4WRnwA%}zY)It+HsMYrr(5fsntqzBl>yV z3LP3-1qeYqZU9L*kv70Vji=&bi=#HJDLk<_gvl!LkA#a1lC`SuJjJTq_8cFlK>&q! zTmHygSvB4=Ps_^_t0Ch6^g0985@v1_{;MB@ReGAupl`|{#bqtbn#wPE)`%2N2z)MJ z+v}RWS-tWl`p2;-Gx#QbWb$mdoZDS5tj#;<)#@`W}Zaq!N_QbwikCxJH8IsdQ7xQoPv zs+|FoiFbLY+#4BuOi$NW>v!81xgZKB{+}umqs;Z28drEL>H9)*-4^T)7i%;-3ir|e z+)fPz5=vKAEI)r`Ke9S5FsJFIHF)gfiSUN6%{|AWCT2VCXAR>{M-tCI_l#MFp5I&< zy5G(?KTb8TgSL0{JR&6M5n!?&jh9m z)SlT=W!!*Q>R`se7E#&hOYDPe=4t)P)k7^6U`??G7D;;OVMm7?^1aSSZKrAvvYT!+ zx71sCYpnUM5KP}*s7@DW8)Os$4skuzzWTaTa01}63YxrR4h&?*4EVnjEpm?b00&{H zrR0R$Mvk34VZs{xPSulkab`V9VSU%xt932WlDWFiTuH&OJk4t8n5Ex2%2~w^L?5-v z?f%|Ux|dSK@b>e&ySuS!OO@U*+^%ZNNyXx6APIp0B0Ng9Hd^f^CB4198z(0bfP*n0 zz`XviRrvzD#h_OF*%!$cK`k(J$x2QsVZZ)?UNU9!QBR{I6ItuyWm)l>BGxd&%fHuJ z)W4{Xmu-XjtJ~hQYCotAA{?H|UYbm14$C!GtgT)y?8=q~Xd?)dE`Xz%b2wia!ub>{zoLf4}p{qG<7iglK`a`{m9F+t;hL9YMTC~n{V*Fl-U zcb**lU!t&umoER$ul%=>Y5lCH?W_22CwjNy>Hj|lzs^bjpZ|>3&mVZM^#AQw{sS>S z@_pl_@%i68XUW=~Hhw^*aOo2Ik5}o0OJF$|Eu}l&{96{?Nvi+e-rhf%bJIfzx`<|- zZ7TB>8Gq(J)YJHCh&Wx3@bB~7nGEAq7fgbXn@-rj<6`JfEJ3@!DS!MQ=l=h{wua~= zsRaKYP;`XdwbuH1uBWl~db1{O7Ela22gDz*pvr|9=H}*ru6ZxO=;C(R zcmt@h3|h$j&Nb^1IK7+XaKwUpQSip>Q$gN59A6LlL|ur@PCaihY1jU zKxbUGtqM?^1~!Zzqh4bao4LH%a8mU1up#qbAD9QH{mL+)Qx`p8fxNmk3$Sfyu-5@}~$& znV>&%l4h%Cxmf#F3S32DHZo<}xr!j}&rXLV=HP|VaNDmDSg+ya!Y|xWjzd&_E#Uy_ z7g}wxd%5`fg(a1uUoT2hhe~?|#)aHX&WB4)Usv8*gp)=JJ@k!t!x|zBdaS=@)OaHb zZo1GQ`hSHgLJs>1}8bw>@MyaX1cX5*>c(!RaI;VC)Lz<|)2&ca{j@ zD)~8~)sxOPJ1^*f5NXHX4}clY`PuQtA!)gnK+)U%$37<*sw?6CL(_vO@+Se{cuRI) zj3rSP<#Y*z6j05f*hRD|Q7o+r;W)XbFV`ahG$g3Y6?zu8HeNNI$}}lPRVm`3_A~FSsVDhm6LxrScv zt$(Q>wL71B-6Z+okeA)_R~R5htN~<)<@&dH*c^$^C}yK`0seZ>Cwp$tIk%vd5|q|^ z7&~_Eao4B#%2hz;Tr0!1x@4)t$OYT$uDN#m`VuO%3;ZFro3MTY6eH7koc5-RvB7|& z1tG7=6Wn68Wf#!CO@k1B@w_?Oe*pspfU6fS9OR`|?^M8{=KOv)qsr}6pB+!`!6|#Z zACTD_NMs@g02Nh=`Way8XgXgqr)`Q@iga!zO{ji(KKSKXx6wKHpDucfhYJAN27D5X z0Wjb{jlTQKU9#8#{aff&FST@ByYYdlGAh9rqj^@0TeL?kFRd9-RcHxVEzUC0{OFnJ%NG>lsoQ%H){d(0ML71A$ ziehkw88C?Pz2|CGN?I}x7KJLS%N9U_@;2(@KcYY@`aN!w<16e){k0|^w*HgY^wI3b z=qh2j*v2qK;msnWgS_N|De0L}eX;K2ceGq(om(iAIJ3_>Wf^TdiafxYS$mpRb*4g% zsx-pAAk9^*Ied@)zEDSFkv@B$>w{Qw2zfaSceCq}d)mtX^7lTuEK%V40R`Mv?qD`9 z=lkV>*EuCRA@mwPs>hxrF4te~ZxK-AJFvpBP}-Ypd?FNdf;a_}rMt8*_8Z4b3WY+Z zlDcJwq;t@%dJpbFnR`^Z)QjJWhkPiLF%8?J;q=gpWFgNa}I#_YaCqqlTFe}fa&A}59yk`vAPON1`aSlzz6=+ph; z?cZ0GKr*xwxcg_68fllzYs@5Q&@l8DQd^F2^0$)o*0e2u6KxdBzB+44maGm#^y8}x zeu|6p>p=%yL62w<%q(VvijPp-rK3$4j;&Ev7CP(T%!PMrG1$v5Ep4AC@@{tfX3@C*j^UKLNNP<&Dw8t$+EE3ppqy}YtR?!Rn zBYWL4EjB}R-Hle@EvlSxAP7%9%*KT0(F%n(Vr-2i#6wWIR+5_)(m?OKZ|N?K~(#&cwc-w-3DGG0=<1;e=eb=m=Y=k_76N^wF2uh4t*mAb=E z?A7Gw?^M!?rYT%r@%kk`iE0g~VkeI3xW1-m;4lnVyT^UOB7gQtoBd+R2* zNkGo%%A7TMnD*teIqBr^aH!s4b8o4EjYkpTR7#BFgSKf`AO$R%u6nv?lK7diRZKtcgTDdTx^_z4U;;s8-W|AA3reW?`x z0iWx4DklouaiNN&2`f7xUrfExYYPS{iQr%$S#Q3yi&btuzsgGLM$ zFMh`5MxfcmUh$bSCvjS@NjzeENQ%*b=s1~8i&SB~om92JAev^G%JJssJzrVc2eb3> z49lf!<7Z6^Pm=Kx4Wx~%jihP&w;p!jB=eT7zfF$p7L zO}9)=$!kvaSd77yMo2LeaT@sxa?D}^q?Y6C%(y_p=+`~+db`h7QvY5gLA%%cHBwC7 zSDspz^q%zB*l_QJT;j|6c9n~)Uq9=eQG~?=_Hm1 z+`d#Uq7cCRvZvrRRl}l#{cKdV)Yp>o85^^2$!FEbz3k=c(TCaR9u{1W8KJ>wFL*K? zw%Yg7xe^b4{n7CW9pb}7t=E($60cFGuQ#sOG%)#or#05&f*rj9dA2O$Q=4mcd<>0) zQ%{2$+jsC?vcKAn1H-k!f`U7*)!kuY|q;q^IXp=()P z;wKvJH%2O$Dg6Wve@UN^D~=+|U~<9_ldRhiZ1zZ0lE79hvNV-1t*A9@Mj7lSWD%^F z8yw_;!zoJxq`C9o+Kv&;r4%YtUPFUax@vKZvrAVW9jIh!2FMxkUh`I!^cF}?dH0eI zslDqeH4GX&&m6qu{qIx;nbCG%j3R>wm*uuivxR1-(*`IWEulME z<2fgH^U1(n@sh$VH_L{&Ar1*275;4P$R!Y>CA+WA!NUr!5;0Y(1A-KKb|~7zZCIyjn}XP(6muKwh0*SMF^7 zV=4%)667)Frm7%#yc9OKH%A}6?%hTHijxN;=#5Rx&GeZiZ5|g_1VlJprKASO89>y-UEW{7O?P z0835Evpq(VgNGuYTe|E+J~~SNa*bWs7pap2VEEh`OrD=5t4u`>cFfXuM+w7NSg4ED zUH*Q-jVs2K1i;|CXy){1n^~Lh-Z#n`E?>9~l|mYPEi)8qfm6cTI;G%+g*$Y+`?~Y# z%AoI18)e5o^!#vja!vc8C__3LMO@L>hx;-V(d~ND7=tCrb=?jo+;HIlXJFYz$1{n$N1TG)EcezP0 zKE(Ypl@zp?cZ<0p7C$KYsx{MiDw&=xwbUFQ*Og$L@LYCZ@QXj6818_VLu#p(P0s;g zEI^-ZBi2=`sQwj3ky^@BH%1w8LlPtbhY))FhYq7qXU48Uf~$+?;u1A9ppH>YW~s}f za`*i0+Qn+V=8{!&z+=T%>vgS>p6ib0JqtKPabic;1aSDL{TH`g{*LpM8b@a@+Mn^L=I)nABE}6(VdMi?Xm>Q2N~%ZGXL!KS)I8e3R!<9yc7pvspQI2#GuFWxa_T7 zRVVFfj;3=fOh3c}JW0)xpZ9m_XW_D|tF}MPX=ls&X9fBkouTi8rghFTwX3l6da0#uAyP##{@%EaJm&$?Xm$&(e|DK4r(g$1&4ZZbMe zWYbvAz0vgUIEz(*zE37}TMA3d5=r_N8FPOn`7g|$o96hgs5t8&vZ@8gRYSLtZ=KHY zWdamw6Qk>Vc(TfPYZYi5?@3*h|DaUq{;)btfgba2*T8gS8l1y*uA4r!m=IFpW7!$& zl2WDXU#JC?yRCt+YCm z+~cS826T)x2qfQKkkl?frCRxYo?XUB2tIx?*ycS7FPCEh@Y9}CgqKode0dzJA=Habsc&x z+qM^9{{n8t6YhOQo*YQ4?n?B2Y%8XyS5w3|fhjrvlXz1Zcy?c^z zwvX$q-YAT#_TtOt1Ti*Dw_zSCK-8;`Eo5NtT4vDO-{E~kl^rxOhvv=%_9{dF;i5wdLQky zus6G^Ia1rMQ%0H@>r*Ni``5!8ABA&TpL6oGz8i=tWeZ;T_5d1&pPmqVCF2wya5d$D{4>!k;jihj90XSa(5Vh+izb6(Up&Y=t zTix^2M=T5lX^h3inMB)3bDn;YW-m7jP?;$TC^8a>;k50HGZg%s=(q-#lE5$?6cFvP z^=`su{s$p@KfxV25*2rND%-$&DfRt<-~pfrR(=(+y{nO}Nc%e!;PuCu?(YZH5oL*; zCV17jW3$b+p5q%1bZmJC)$8NgAvr%z!FgJ})TFRUnT0;cL<;V7 zpKCV|`tW&-cpq0LlgKT$Gq;}Uuu-N6$>`bK62h_zWLK@Fr6_!6jre&vsIDLM&~Jz& zcJ?Endp=259^|M`;q#sIBlEQF=*{{sS{^3o)pjRZu6a8D@{N1iT5RH} zoZ*#)fXK!M>Q8_Qfb3S54E^0$pKUXPGV;fAhb>Fnx(-^mBNDsI;o#=fvpjOGr$MF? zXNOnK`4GX$vYqP3LeiQb}$xiyAi!TBLSlLhqXEWCTYjRxrTzLAO5J);6C<{FI6>+ zn;J^^+!-^r2<}6}>CBi)__$8Yj*Yea%jo%bgYm?hrboSjJunLjkzEH`2T zeH-E`!;V*3Sy?!|&eZVm34G_NoVHmO<5@sg2kr~(WwzWv;dG@XTH0Xs=h6B)ys%fZ z_mH|x2`D-$+4oQpGGJ7>iEqyYa1eNfX|r zi3++K&)1%^hdjwld1!{uE5vYsa2zjC)y;x#`Q%XY{aB|3&2YLxQdw6QC(?N$fQa?t zNldZkByegnwHucVUh$S7LM6R7$439x^MzKk7N>#o-9odSGZ_m%#+YZA7x7P1vdu_$8SW*;x6*_z)+l5)BK_ z8JAh{i)0RZ6Rhtp1ZM6EEd&OScYEjWfS-S%cRS#pRv)HI(l;`h-r#NS_+Vef!L)Tp z!4Gp9bNs;9OYE3(EFJCkqFXNdA219gbdW4sY zeM@dPZ+Dws?l)2!J!g+UDbwp`POUfPd=KL0k=Zs@TW#nT*UYF|YBOX*1V6=YpwNw3 ziQA`DH94F~JerRiBqoYa)lCaJ2F$nItYzSwE}(`{N%6^>ghY~<&R1XE;$(=f@jrQD zU>;=g*_D>GF%YNl1DX6xeXkCb4}t*OuLZrTxFtH5XanW+QYdAC)KW%|0vLJX$I|mx z4q#Z4tOfw+`W#gKLL>s-CaruWrdW3zF*OT9w zUj}RjELgi4`VDM`ZwH%x>+2$tQeT&I-Y>lC)1?`=lSEuVdmJV`zKbxvTl`_KYN<-z zqjP%H^82g(T4(enoG!n|FOVnJxQDO~V+M0Ze8Z0|ewfu&FJI!k*xh)G@YmzO0yvVbcV;@p6@LD$gX*>cX>N&!;@F?yqnpc|`kQa2ol}e}>Iqu=J^pFU zfwTxu{SI?DPTuC+?xqRt$-cS340AZA{($Lq*eH~}5~a?Lv#>yVJQ4B5ajVW1-_21y z8vXX7b@L=K-L5TyT*Aj-23c2l58!FHb;=tctjz>}oU$98BD|srO0=nR)bLS(fMPY% z%Qf;w_-JO1v%RnyZZlkPQ_KDrz+YUJW~c3!;8vK}BTiS@cWG&1yr@-@Yj8B09OT8t z3e{4o)F{DwcQE2h+NIVlVSu>Upw1{?yeH>Z(&)c=lgKfXGjK+IzDkW&7W@r-nN9L- z6M^%^hSFXGDGW519KX*`Y{Py&4~oeKzvsRs4k(e7Le^jcgqMnx@r}O`G&)5HFrI}$ zx|+rhhfc68A8QH8-FyyR$``cczBhX(pR6?ZEvF_Vocq_mVT82Gc5Fo8N4{Wx0(zB0 z)^z1s0otWzH%Ie8t3D8jOIX~>=1b22q`q*b;$J{VTvwMBbrDef04#{HXUg;*#RrRJ zDYLC-%bxBwBdhIKA>RT%Xz`<=pqK)EfUD!hTcIY}zK=u^0HQo$@P@a5S8uioo5N0a)(biUd~PhhaP3< zIErNFwYN)3FnmC;`o!Qv$)30Il3_CBTdLw8kz3@U>0``}n5<1dcF&++_wh`5nzz41 zo|rCGB(|x3-N@)Yzk4PtzHO!H?MF;Pew)*pU`uw*0_NoZYlmN$$aI1J%Odi)!U7E@ z=k$}NFdsW943Olzg377G^*$QmY#K)+Y`G*McUa$iu7x`ON-I|aInFYs*KVhe3!Z?y zfBS?#-W;uO73Ixee7Z|u>K~UX=6R{wJViqoTMlo};ri2W3(_B?sRM12U+<(g(eTU` z`m=EU+HxYXnDnWtJUZ!zHA}u9;AieR{A)jAH+u3oOIrFZdoZp@ZKmkuZtHsc8RhZB z=@$xZ3`U~lUSZhpNPw@XzixXf#oPac z&pKMY*$CmoG_C10Cj{i>?o4*cw%jV_G;Vx93vf4|W^5_z6!a_Hi4^nT=3hDfunaQ& z^Y;Fqrv;&`I-#urRUV6o***WpvB5nC$wh!{vsu*u3oWnG`gw zd$k*B#EKWyZ(AKHn_xOS=w)&71gIp8_}DcwpJLdl{(7n@*-bwJdAnc4@WmJe>WmVI zE+Z>w=w>(oNp(+(dhh(?wAr70t_~brJ5Rl+n|b%u-p2MtY|wzPQ+wX74;v5y*+YaZ zi>M7SmkYDCTo2o4)D}y8DW~mp{b*fiwZm=UK~9d3DKHlcKdkHDo_IrrT?zPE((#io zsRffH@m(!bPD6b|c&1}Ag%a{ZBXKDTPOR<&%kf;sb zdF2-A;TwDLH_~a?U^(qC;{&^c+-^?zC`U>i*d2KwC*9V&PSTMEIeccI^Z7&eqhEex zRs(21u%`_v2%7CMtyt^Ydv8{EWQS3%8-oNDQ}mAB@z$PjTfmky#T8NtFAgOAC06g$ zW7Fe&du6y*(h*mpO)C%?l!(ZYI!kWh7B$Vc`XL?Fdk+Bv(^{LHj&`;;>0{)2pv$6U z3vBF)@K;ursVD7V64?~q$x`>-SP4cOPQ2nlB2r;7UvD28A?3I4CdiSDE46oSr)Lyt zy3<=_>E~RkrfxlL(n=?UK1~*-=*e+;ZQj9d$xlzqV4$;821i*MkppI0U-;W7)+m#W zhx2_?s=@s_eD!#I-MCr&x>9mz=2(RpM~Z)q8@oD5LZQKXKd+}v#uAo)> zyD?(>*5Y8g69+qzlYGjIrS7@qhvjU{9S43e5!<|#E*nMu9|7=tm*o^JCEj?4%IMG5cx~S&RAhX1AmL=q)Q!{_8`r?7qQKtOuRuXgjhTNa=?OwZ51p^vOuMzVOb zy1{4gs-N2>i$Vig<_97Pjm9fYTI8^I;FT5=3sFm&bKke)9@kh+WAchf_`+u?7Oda+ zXyBC;ktLGZqO7hhwcjC>pO}&^%3IZ#f*IQ1KGRmwmV3@4!+YbwDO88k=Tk`gcDhQle6y+PbUUkLZLpKW zER^lV1VUK~V&>=+y*lF&JG>ils;Fa6278sk%A!v0*N`dNVq1J(oZ-kbQ>0@--G(C2sjJJe;ulSon*jPZdrCIP>2^C~0g`tTFJW88hOkZD5&e{X&nF)5i3kU!1}lUhG7 z^4zPvS+Uq-5k-S^7{^QI!65``59?FfzC-+O(ZKhLv5n_H13$BYI!Jo^0zL& z!#Lbp+ctj=;x;gwTuI#39>W$ygf5;+<%{AhlbR8~QIq>|R_~zd^xOy+D%hRu>zLP- z39SJM_DPE-p{+n5HOz@VOmts!Mq;(-ue68U;Am~b*Pc`)vR)z(MUMozU&Ayq1gw?5 zStKBu3JFTAxO~iyjvuFTsz1?}lqS0F)jQSX`GM<@A5-D>dg5^2mS8S^@nBKD|^u3uAY2T zQNIdZS1KJqgNU)?f2=X5kK>xjzAq=9tJjBH$U%LjHJfGHYF~oWvYQLq)5SRAKTtsW z>08u03kcW<#Ft~rUTH=_W>2;&WpYLLlW`_v-b;V5!z3>0^#NJe_PAq(oJ?5_0*q*Q z(}{4+Jv*`86$1FEiz=j-?4HEEq8|Ad$ z;*4b+hRt!a>%*f)2QQZv+2TYkfitx82F-Xd+H-}+5H$38>!kgK4N0(GK5V0Q+m(0R z8GW5mq=vLZrxSU1XAl@lVs@Y!U2h34ZSu5Rgm`QY0y&vHAPuW*uKYGgSa3Iy`hm?1 zYptGX$&aiwIoRbJJ1`lOm7`W^WjPA)5N%t(W55d2=Ccb@sa8Gz!(r_LD(*UgWdp(N$TNf^vaRk(Eo1S0jTczd$p{0@7-6ZfI-c@&JZ#5VrQ-Zt3CXFD3Kl%q>ub}$^6LV>QKT& zF?Af#P4G$J?Y8@R-65a?FjEEXHQByt@@TzFpx%_y%vKr(Y9Ez&`sHxxett)emsOaSt^0d^r zxw!i|>gbPtQ=-k^q%)(MGPe$oVwuWgz;g4Nk}wNrcKoG=-uOG5TbG+b+JV)(wiO#C zmF9QWt<9NzF>qZQGa7(s6$k5H;1oF&0DvzLbC2OMj3QO}=8nAp;OV@zqbA_1 z&ldq==bbh*6S;T6Sr0kXRXqLxz4mtwoN(R;z2cb>th|BVlBrzYTUd>8=P^d%rNa>; z=`-UJ&J}zz5aD^mM8%GP(BqtEOYE@P=)H~YPF6|;X>6MWFV{D~xSk1xWwNa@{@LX@ zPHE}9E{|8w0gaxBEh`-LYt?c9AQt&7fvsUbTiMfN`S4AP__JjBPE$#N@@ti5{Jw|b z1K+9k`sk+R7LynZ`jCU)V3H?>*GC;S-*n9p_Su%@mHX8(a*ppprc&b%UWrU|HNdBT zIgBjZOJ24Sj4`4gy&x((rh`vp_@)_V{y9#v!4<-ELH3|;mv`06zrB_)m=GVwY{;ry zq>?uJ!zo+8@&PEk_eD%K8IMg5^w7V@oSkdbLs2g+>E>qI_+hn!0l|PhImFt|>xPkL%zHX%spIqMK4ZAyS|5eiZl~#)jNcW#q z@E@Ts4GmoAf0e?1(YcoY%UfRH@1=l$Zt@w90k+rRzoUYsJJ0v!|Ce&ww`J6)K7{`@ zZTwq>Gh9UdKb&6de?ZFX4gQIk_r3bfTmBz6(FBT-ne5hui&RS`8|}9+d0ZJ36coy} zz0TIVQ7IKSYul96fnK4vZf-rG;)peqe0+ho_q>-jUfAx-sr?mz+3vwCoP1e~Wd*75 z-5L$P^m^g_vo8YLU$$Y>ngRgtSKLz&hr_?U3v6=!x1DHv-M;*uS2*5lF6(@D=PQ|C zjsAc_X1hIvg-)j(2$UXd^hSXCA_+@0Yxi@F>2+KBfP!b;dv5=KQ712#2E;*txtlS- zF#{D$K0pkF88m|XVkrgSi_Emiv9Z4a3c5f(v(v)6{I5L<^kAa&$)%pE9dJk}Dz&nd zwD^Ch=s+CvjPqqvB>_CaY&@$Q*z#XA&ygY_R|g=72T&xuMp$RH*aM)Iy7%t>|H9cj9h5MncZQ8nX0CON9W|ZLd2x+a+{i_tbFU=pJR;v8}V=)<9 z_WOI_9NllMLuvqYjM@F#64+yKbMrm5=fCvAm(zj&sul&RMw7O(va+GMd1G@^7)W;0 ztgP+rebA3f!&)!G{pa=lu?0PbTrLmrDuu`8hy+X{qXBg=bbwrcdRS_701E2;9Ck)H z5C8Szse+p1Mx2X{GiAZflTPf6rBt%yE7xvh0zwM4T5T%Dsx{`*`+vI${(0a3ABsQ@ zitYJW{+BoTS7ht1aAAt_6UzUm1UzCwSEC8o9{wn}N}mpX+>S@5K4zEnAK1C|&#uyd z)-m1}>^xUM#s2c-n^GIprCb^^fFozcTSBF-tTD9&4rqwFnOj40afIGa}?ixF!?mywqHHf6Hn~W(=o!nF4U^2pjH#&k_ zmozF^Cz;wxEh0gu`2`oZk>`ItxOgv#-U9gru(`IT@5EwP(P31y=NMnOQ^uQ_f|O}T ztmRZm1nO*i1&1SPiguX?AitKcp1bbBmcv<$= zqmvV?tLztSzQ0`^LDtZ=Na*qw1}Oux#E9Un{{8l#2ZKrKIF$sdFHxndpA_%mYHn!n zBX&RpYtz-71513S1Uzf~1F1YuPVTCK`aTmHA|d0c6w?(%fG2?gsI1a#-JZw>z}~e- z*1@-5g<4TtDJZ`Y78K|qU0kNe;0@uRdK>RGJ6-uwv~U3wEqGY3+>IBx~Y689*ph`P75>DT3%mjS9rjubD32X18Rbkx#U&aV8)*A$f^r^MK)ll zP^B7oJoHg2Z4zJR8Cz|WIA2&DPvtaDEFC8=(5w;IK8QH8BcbH3i$0$%9tOSYxOl(C z8uqth8G)WR8S)f;iOl3cP3lXO@EPnGK>rXdXbf9v2st4kC7JXRhaoFV?2LT(T0Bsu zLW4{%=;0-95F$o@s?(13^`>8TM`5{78TIajIkW`OrkLD?ovWDKPaSdlY50uP-$nbq1}V13zK0AX^Vl>20($un)h(Ez}g*MDpfP4#3!}(`RTLMEz5a zWg#9Um-Qm1ugx95htNhs$u@3+HM+zHugjn2-eFLJSNkSrTzGj!2J5_6*o5^lNvxje z7Sv%9URrlZFmg=i_-sePE*tO>1%FGP6O~l*52F(mB@AL@g(X(7Vy^ApG+dCfh$G}7xNYA?{Vso)yEwo6 zGbdpXo6rKY_3+mKcFeCXI*~xXik9P!=4N9g#?;a6{;Z?>8P9fNsaxUGTKrr`v2(aK zP(dK}(f*uCVJ&<)HU@**=U~pvGy?at*%s4gw^Zid0?=TB=WdHe$%A9%3bEzF6DLxP z0jpvf?Tlp``6xHT43`}k(DGhOuM(iUBvu-demgv8Q7Gcdls}0pn@6+Hd7b?D{fd3nsF`x_g-7r?UjK?y>Y(9+ zFo!jJ4H3XuY0)KLnG0wu<5ok4zdWbBwf~=D-v;)sh=<~myR<~2L+?JH^}{&|Jm7|P?PX?v4@gsJ4HYJBd! zoF=yD+rVe--#F9(M^V)n=`FnIxHX;oRTm2XghOP&vsbo+KHFCR)4*(bU(In0N5YJY zpq&3{*LW_=;llS}I4f$;QOL;6qlxBaD)cIn#0j_8-21D{?s0k} zB^j#4O%IIx7YK>7-7cmu(L&Y^pj{rQb);0GtjM*=cGd{5r%99ND2h#2C!63^wN!?@ zoCS|^x#t<4W#`yatZg=F4(CtCUfwNkEW?UhtTy_Dl2b@uC2p|3VM66!WWUdZlanO%luS+K0Xyg%r$}GA8#ti%u`lH< zy?xg8KPfo?gns{L(()}|A0Bfolh=G5!bsAws8}^lc`Lk#&U@lA^ry=*Ya5qD5ztt5dINFFn|A zPn{Y$oUi3sEv}w{i3A7wr;0sJ7HkASnI0fEf(7!@prB%_C4>c(qo~#B`0h4QfK**i zp3HNpmQbUn4+%M$!_#TwWes5ADCkRvqF&#!Y!Bot^%r(xXwg?kpY+yppgw2l)2$n= zzwpy zD>t^-((R6Jq|(REqkkt$r{90@f@+8#3ZWxg;|CY2=)QSUN@MvzFF~aYE}Py}6PShR=LvQTWvx984IjbaBCp zG&`#GJZ(bUr?zXNo%!Vzi94dRK|DXNn?;f&^2MUb^i&mURIwCMl-~2&GxE{`j-xmN zgsA0OBi4<5$!mwtV0S<+KSOF9`GO%B7wlmfPpLp3IT1!xX?zYFy%BA>4K_lBO&N$M z-Rk=kvKcG%Bhs9OBd*RF6wARK^DwKIgI|w}gm5!V=g;KroikrW=;Tm60_0qKeqzR| z6mzMDV^HWd^8oB)3TH~@=U&lX`?F0_s_D|(iSydzX`%{~&wvk$344T%wVs>T1?Pq6 zu#0#q^M+6ixp(P=DT-2q6GxX5CnZ-}vw#|f`U_E?JbL#E@V`1q4+s1LQl=d=G*{)q zMmdOp5z?1W39zGWUtqi?15nf=whUMXFK(_225V<)Ul9A zop^VLntbreKlO~GLia5dYguP-|DbrVLj{^9U{l*fQ%Fujdr>HcL^y6LA6tRH7%GR4 z!kmM&@Osp$ELnQn2r(EQYrQv&WN$W|2JYYr9sI^uO@yMHUZ8YD)3^^E`t9q$mKUY= zJ=2e$(0#nyQk(}xcth7^O);UU!h$EJ2gl5WF?{`eCnq`=lyYS`g`eFkLWtH#;>BjAkqKL(r|aQAum#N%M2twq&y$XD4;PR(I&HR9~( zzFJpf43f0U_tbvXy{rt1gph1p)W<8?_kT>WO!0AIfqv^Sf5?s0MFi*^yG$+! zxnc3)j3-8B{JFerRy(mh>jN(!n#q-QHrm;_WFGt+wNs?#tUC$>3j03DHhM-; zq2(-99r72NJ&Gl+*3n2{l%Z&svPXrm8CFetE7~lHB{+*pZXf%Cenj-G6w%4WpEv>& z%3IVSiP*3@usu0)xksDxAf8t3k4Gum(G9n)i>`88I-)Yobfb825*C8xpaXKDh6?IF z#yD@pf2Zi%7bBeyh2sYoU_t*mM8CBvxW4ZDdm1e<-6`FXq!Dh5X#H5I`1%79968AA z{sQrv7$VX;>AlhQGyYF_SXRstKm|xKXBTJ7)Y>r@P{VeCG zPBMRC{Iqy$acihrllVJZesSlCK(Dp8lsKV)GY3uA|FwK0_oTiwIjT9iZ+)umPk0;O z^m2CYS$d<*KYRtsMJ}2c?wd8$ChnG8(sj88Y3yWkFf95Adbw5kGSXKByA;BfV&F=ADerx zxVE+en`Lm7u8?Bg;&sE_7(?sEGY}J5v?bGSag72dV2qBtW6ziFtkxqWz zO_$)}=tXw@G<~9R7@wobkMOvgugS>>5q_-taH7C_hChw+4X9lEj^t9}G=V;1J)#O7 z|L1DKWbY1*A{KT%dqbUf>*mstU5>r#-URgP!N4-9KKwKpsbHq$UAo*6%&!%dXAa?a zP>s!ZC*|G(=t2vi#Nt|-J>&Hl%lN4LI6KNHnA~)7B-Nvxm1sOu*d3DRKIhm~uC$DI zdPdS!Mdn<(hIn+^?#RO0m5EU9T_87FK`McvdH_GZasu6uosa6l)nTlLcngh^;lxG@pyi zkx6DC{mH%zRBwNotRjU}Fepag3MA3ul=;0&q(#+ev2}5Fs63@|4QM?1N;f(7@3Q7f zO_G$!V9jd?>gtkL=mBHLr)f`0fEtx#N6^H16ifc;droSU%$s`!e!{9xK^zpD07ZbM zfh?Qly*VY)2nS!}#=)QC?cnC*1MbqULEAd!lbn{Gmg>WYflDxG3w6;*?d}~~zXk(F zd)WP5>AnS0P<1LG>@+_Y-v~-;(jjNjaep0oKI-h4Fru{;g+U#3Z+W3W`gkR;Sl7y( z;Mnm@CkXZo2WZjLgYxa}BH4VQ{7Hp8X)M48YlG%qHb~f4n5t4dMlzRelo7BRknTx1 z$pG-(ysMN@X}WB)2ovdf4!@U@(7WHH$9nC(HEA(-h7hRj6IP_p>~y-I;X{?n#HEO- zP1N2#QW@s`Mb3ybD*L%E(8L!WP0!yk1T)c&>pa0wdiL~I=U6`<8^#XFxo0z@nP7Q!bzI?i)woe!st!i@!460Z;ESj$UbmM2^ za5T5YUUV-7?w`A+vdS*e!MU+%7jap8^+75jFTZy*@wFzcHL>VtELK=0d#0d+8A1gr z!fr+*<~bXJgOSH`aK1qDyVw%tXg&nU{4h!+Kl!q#qp^K@AsgC2JuuzAu<%zHiq&H&c^YsPv%8@s(Z5pEkdDU!rdZhD;jTJnhOW{*$c%&Y=#C$Xfi zGGD0`5`Aa``11`Zs6FE}4SM+GWl z_TU2?oDonN;&?b01&}doo12@bCzk9vuaACsnnXE!^fEqJH6#_V6saXqAh^B82v33e zvpx}*^h)m*)${tKvbMQ)kI8}(l zE!g3%dK{~QRj|?e%jeh++nX}E7s8h)`5l+`8!o+z`&f8w96VPPPqW=p4j zS+Z|H*@5bQ^(Ea|RrIN|tb*pKdZmX`z*CcD5Tmq;2^1%i*x+62vTr1(CxVe2C>6wG zqj3Sh0B-PbjWehdAcHJ_~ak$*B-r)W}_xrnM#BzMzc}t$vYu`J2HL>dj>$DUl?So zhFNMBD#i6u+NyG)tuz^cd@tE!@!PCn{W4dnA6tfvEq5%tTQ-R}&v5_IlsAXhN>3dl zWyubnpZmav=@t^n7L1qVa7&IlwG7EF@Kkr(M z8XVxDJWpS+{}y$LOEsoV1`)B$2sRt8{qlf6XBXzmVMz;NUuizh2?EiUwc}&i zG#;#w10ap`2lyLElW}-Ga5(Kx+1s}x|A9GtpsTL|256n;{m_+scWOz7-*qsDC z-tSSd6$k@p5kPWHPF`~Hx(IglsZg*(aXvW6H;HN>+Hm$|yJL-WUL;V7KTLAqx7!kI zCTBI{_(<6NqO8v)0-k0)*vMH?IGKcwcl?E^Nbf8IMVhW5c$acU3h0h0_BH=MM%T*Y z9Af_*;5l3J>m8azuoTIqvS=#;aA={EkMeyU;hP5PZveTZM!|48RwDswx#nYG5IN*L zIT9B=NWtdIW2fQn{LXKS8J9`Y<@YdOVn*4Qiy(&=)lBy62)Z)VpIo-Nf@Wz(EhN$G z9mmfQV+>A`mQ%o)o>Tx9jfLac%U-URcchdlK#IJ9+;FaauYQ%9vcl7F_gTlzQ&fD+ zxQMMZJUJhy5^+IWy!GN^%*r>W@+}QEW6fs?aDQs;btG4@-E#qQ&`w!aYs{w(MfV-T zfVnp*4-PHh-1LpxB+oY|)yi~ItR-J6HFHZB$i(mo@Y^=i)Sj~%_v#-kP^rkh_SyV! z$b~Gosa2cdnHobcxaAf+j^D$ttpU9CS5Ded8NU0HcB5xq>Ddmy@fvfHfv3mcvgy{D z4X-#Fn@}t!LVwjg0bXcq6_|4rjuAXEe!4cuR5opRZathF@qe9U3U0< z^oD`&d%unmUsdBS=6FGG@3?f83;=hwLhJ{Ut6#cf#w7}uvqNHLIl3z!^Lh&Hoi5eN z^+Wq^OR)(8j3fhr@qimH=aWa@`>iW9#UDlG+w((Pb`7KNvW3xKQveV9r&Mu5DgW+Jzh!xImf&KOiH4DClJG z?1@IV!;ihblI7|}032=*`0L(4mNK;&X8~=lMZ$)l=3;}1OSbwJvZc<~=cK4SPt89` z%VFg>2r@P}wZ#E~J|Yun3l}gWV-6s z+uih9?d`3kD~n>pd|7J5Q8kY4B9ef04|J&>;8}>z#B~MSGuOjx6_5D^ik!3hLeqF4 z2PA}kUgD!M*%EKRVw1{6EUI#?yjk?@4Vv*=P{;$?N$WBdIq^Ex#FMX^wi!pSZOjE0 z23^J`{WSTeaIp-U?wAh!rW>77FEpn?7#Vl77D``oI_e{8sMrP-k7o3zvCeEW*2~Hd zBx&B&4yI&&K1-_zByJbb$DWTyZcTZP0-N(o;)sopGfpsp?w7F*7?ALog&ck0#WybULfq z7TUN}b8mJ9s=$1<2a_P;cmOTATifkMbg~Eyh!jSiZbYzMm?p7{t#9{CLcgAvOj)df z&i-`tq4%w6PGXQ>@7#pFo zna)+TqskwQ{Pdk1sp@n@Cl&p1D}+O(SY%*3lrO790Vr$XfmqBKB~SGtB@kvaV8;D6}C%1uU|6nEp2I69;%iGP||IOP(r0k*KD|>~>G)gRgFKwwH0D&#Ny_O(dkG zXSbDLeE`K+YIRQl6s*>cj%223+VcK@1!dnl?EMxA7B*JZaRz)rJJ9K5Atv7pt?oAV9IxFaH_X`v{SK z^hKNW>dIiBFcSs=+%L{H=gc&n`5Bk}BOluH-Rj3?GbA8|*SAs(khG5heQ&i%YI_NEh`ZJtcwG|@sA$s$gj7NjE67LNO;2X zug0!PdPu8I8kq|@;og3BQM4tWD}lF6Z1*Ww3pd(bk2=)3VmHS?7{0F;EL5#BD+5P2 z*fafPc9$JD_K=IkM!P9n$u&9PLM@YzUq%?l=8(I+MUU@vKXhbz-L5cl=|$$g1j`ZIV(7L`;gYj4cwJE_!{Vv(%z&!fp0 zkA5&e4UM8OXacvZN5}jFqTNnE2d~Gg;q7&GGLVu+)tI5on~e4t|M{XAf!9UJ@Ns7( zRYJQJ+wb*qfR!ERE)zz$-k$@1;ydGgCcr{_kEsOZgI&;}dfcZVE|<(DiWJl(_%;a- zX`VBBSE2&eZKF4T6PTtQc)SX!W7onIajwoQKm2;7c^yTf6<{Ly)%2o`lF7B zlrE?m(D?m3K#XO%`udNEuh+atfBf`bjWbIx`lE!o2a^bnT8?mt`C(!UtP%Q3>JyPt0cD?o*}YYndg|b=Z$YR#m8^S z>>WOctg(J;t+ey!d{|h~9#`Ep%ee4ak_Hxjvu0COb@7&>9GSz-dDmv{C}-N58S*Z^lU=cJLP9Pj|< zD@;UqIfUkwToZb_Q#SIm#+qscdgZcsoSU~)`D&sD=N#)Uc&FK0D)LXBpRKHDklq{UJya{`_t}IilpC0ATST;j+(k- z^k;05N9lvUb@GUjyL_gCF$waA*^%#6_7mkma!+oQ*<|@^%c~YF#cUfl&7l2UU>e5@ zNIn85{K zy^40^?Sq6T=J2DQi^C21MWR83c{gRdF%O}iH;Lh6<|PwnGs|a}XE}L@d$j$|Cj+>; z^V5i(vfwE3_q$J@IGfppQ+r{SCtZoy2{vX*5P%dSy=n&?f8h$vm$2$&=H;I29K-AZ z@kz+YxkNjV5BzYD_Xq9I@HcGFiOCnej737czT_DfUpZ})VK~6y#aosud|$A?C^u3( zcd6Ygf*-(CrdH`)l<*$k5tq7WQ{5sw!y7-P>=I?WR(X&|c(G||Xcxuij0F@fVezH! z@?UGk4X@ z!sQe*&N{eUY}GGBQTF#kDs|Gj9obq~Mx(!+Hu~`Ybmw6EMN)npg4GC@HgHeBg7kkx zclsIobeGIq{Q;?U@LT{+x7j-Tg3kk-wrvyl(DWu1|Rm`gz%RHWxT=)FF)yU~VhyDEI3>bB)Zhc-&+S<==c> z2Q@l=fV$VLwY6NuSE;l74Y@~YbE5vF72Td9{KLJUpHH?-_VS^U8?C({P_b}xq49tQ zyFDzh(yBCv+0p*SXvma_E_T*+PPl3wA>z(|FqKbUlaW!duM4`>gRGBgGCFFkB!GkVB zc2$4pCPcb(a%V(z*r2peqmltOH+t43&CYxr(fWuJWXDecS$p^`Hy~%9+G?9f_ZUz) z1mfC~Of2U#r#+HHl6A%v!w};N-4jf78BNvNu{rPko=djnOR&o80_k=?u6fANwmq6c zn;B6zJ70qS>GbPIFFXFZL%T-5>|$qDe=>Z3ouLYg6?gXesqoD?bR zK9ZjWO1*)%7wng75;pUr6$j$$H~@OjyPvmzL*Qnf8pJdSTiB9UAy?Xxr_v9+IHfCs zWd@_QfET{n^CVSI$t_me``7^s&G;qY<%Tj&?F{T;zQtM!(TZ|Ltvp@1tHh zGPOpkNDLPL+lGRHEOJ!;SV=g+v&TmB_gzwc;X=?#sA+-y$8InFxktrsvJ1MUlA5~y zf8R?ESP_i&k3(!r)EoR`Bj^dMxu$<^_^+pO>1GD5B{Tc$mVZ6z<$%BMp6G4gcbOT| zxLMR|F%%th@{Xbft4ABwnR2Wo+S(X>6|KB?`Oe5C+YtiRg{g0fso3_?r(}Iqbg;At zUsgNiw@M$8s86prCjpD6DN^thxj(3)9o@6MtbMtbUe*p=R4W0Cw+Hg(o{d;rgKxt6*{%eE8{iEYPnx#47 zp#NJd2BLmOVbl0en_qhFtIotZ)jxWFIA-84{n>;7_xFy69h0gzD2|T*=Mi*^>RM(1 zu|~ibe!N_dKO~*s^%RPLfB-;YM8w74Co+Tb05a?Ic6<14MAQ!}e$?Pqd6+AaBZQ)6bz7z5r4 z&|xtF$vZZuiw)g8jTa>S_Y`XNJlXN#22P1$vyG$B2|;QH5jn|L>(Nx_-!WR^Ds-ED8a?8Nef`6alqGy#e5nh-RKjR z&70ff5z?EGtH3>fvA={j5~d+=nz};}21=g~o7h;0uGLgfHph7g*IrwSpbm8XWV%GA zcdr?nywXi`oXU@6?|gfrIvO%j{C;0jMm}#efRE_SQCzm^^L)&o>tIKXF~<~r^fEYC zfz5QIFz;emHDR41I@tQ5-L4g6_YD?Ckc*Ej=!)m}&hF-~Q@huNTJ7(`Wy7^^dlQ0) zLAE#7ei1zm&UWkfV7=DW;!AoIuYfPdT{keo^JHT*P1g9YlllP1Kt-xX(V~Zy zxtV)(V-vYcgO1-RD^f#i!xAAS%2|872wB8I>JQodVr;nhwhF$K>d(v6|!Hfi5^5+mGY-btsKaPMx1DkH$PEKRD$kQRplMdOAh~B6w%C zI-)}v=an?jX(#Jn76^HNYO`&stv2|2Vk*}hl}d3h0zOP-S>p4K+1l{lm`}|o2vaN2 zHqb<{5*z7k41|yPb6FNslH3>^IQAaOZTL_wtbDjUo5PdJY3Hh1O?7xM|NO#Rx@~>rC;Kj8R`%g z{R9Or+pdCo>Ps(JsmdQrPkySNqFQ6wVP2v%C5#5%8oh(9rFBMF+!%8wGMI!2N;^s# zzf9<&%Z0t3ex7r$WvfgROWT3n4v zzmoTpwts$ie4eY@Msryh`9sP}fQG{piPxE?ZCpn-X7Ryyk=lnVMap`VL2ovfymwD_CuckJ0C0a1q~jG?<33?X)?RHUqG2qH)N zqx@aoVuh*-_Ft*ZOR;*6o3h6&5N4H{h;-j9yAA9SN=dJawZYc8@x{*D8_hPbSJsby za$OvN$IN-naPL8gvC>@7AI=V28un{yk`QBtm zjEYr_(s}`iB@(wahU6=DHou?jeU=s%$9(*8t-lp7GF7|;Xs^b5i{&czS2~GN`XjWZjer z#8rQ;yIS}rC@_>M6V#(NYZ^YlOka6ZmK3079jLQWW=fw%L&@%5t$P{~zS zC27u5%6B1uSS*>w$&o%)I#aT}4KaAOVwa~1T56dv#O>wll24!!yDjS8eMmFV%Ep)N z%17q1{=AT^HukoS(DkcLwX3rpTX&tJOxDv%Y8H6^g!y|5>3OC3e!B4YfJyr=)Lz=W zQ5{Z@Pw`(GKZByQL$w*>se9>}@0<5>2BXv1x)wIldi^MmdZ8=8D{hD-Or8dNyW2w< z{z8pj5GtFrcG+fbyhN%6pS7DnrP@5v!2>t_n1Y-O_4- zf_Xb*m}1km=aZURDxrRNp8J#0h(;>DqzV%>o|V|p)TGY)xZX}Xtg3r+IPa%gYzzp! z_0*pN<6H0Yaw<^D<8U~~2n>ZXKov-+9dM7z7b=q(*uAJP0`^8475dPRkSn8`<7F0` z72I#Y@QG9J;N-*_ps^q)S$$uH&;&vX)Mmu_Hiv`p#n{g(HC~ut0WvO`H^GZhr{@uN zZ1wHV3#Uee088NZVf-V?+i%BV{7Lvm^5AXa>!(`OemNh-x0G7VxF}rV8xNTdP}=~$k8}exlGqZ@)EeCB^a!-xKB%V3JzLp;$=H+TlV{MZQ3JiKIp%urH z+97qX+MIKyInc49EIVL$@S#2Hb=m{>RfOSvT04j!qF}K9c@ThY6P1HK^ zBN8w?qgjjAMlZDt?{8M>*=x6xLK1?94vpB8Pnk#*QLzOSo+X$ zj9tF=M_%Mw&1m%u>QiA3>!=((UgP+RU*tg=*t(HSbf=(Z6>!{5oK=UVOV_>94ljwe zFBujHq_+A)sEqikTr=U^f{qoCy}WDjoWtBQkPw8|qB|D)*|Pzogi53njVu?} z3{@9rj$8?0H?+|_Ui*r0CyAEfcvK~Q#1bX-W8}5%#-Y-JwES(QpOkj1JIX;o!oiGa-cA+qJjbNBr`%z<94xjK3Wg~i>F9s*ysN|x)Z&0bs)#C_XM&a%1 zCbbvVQ|dqsu*SQ73q`l>Ll_mWgBl_&8-M9|jy#ph~{ zdfgxAEF8Ww-MrGBi?Mwj;fQg3?rYpyVe7xYi>$kBdJ2$Ieg2-1Z@sSDEZlikgt2k7 zywej*{RMawZE3woIkY=NgiAaO^9EM0ZAeWy| zv0*G>lU&%RTfriy6=}i*+^2l<5|L51Z zN&416oL_&8*jVu_Lvapg>16)7_cN1SG%12~lV`H(LiyTa#cK`;R-^AXc1MnIOa|Odx=}l?@l|Kfg z=TSl}w4SvpDhVO<7iCz%mm2aM9GP&Zy~hV9wnRZ`>`FQMRckg$lBv$KY{K5!!M5R*Yl`=SvAvP%ka z?IqvL@7IL!-*WK)?f;4z1kp^pJv73;RRE#n_|4U zT1=r<7~Ah$oM4mV+?aQ`c;ynD!%z6P=eCqP`_qSU2g3~=IXMEJF6Mf%SC#NO0nkZx zHbd7TIGhjq^lxfL!Qs5125h=kC)9CqUNFkO~$_@QF4P}<}cXYStl4+QK!ZX1zb zMH%cG)ly6tvps&E@-B##tQt>;ptIuMIg*0591uv@&$}>a~+G5lz zGUR76J*=;O$eg#y%gWbl5*Xx#zdpNT{Pr9v;PHp9ep9~F4~gTcd62k9nZm-cE-IVX z6kbs1vcYBL#_6y7@)q^_#ZFP-iZ#g#PZZa~z;13dX3<@e9a@!op5maIm99jKt^*8O zoEOvKe}7jis`6G|AID=d^u%$pH^Ld$g6;&vMB#su9wQzdEw&m|ZVbXaB7es-gFNu1 zwYB&A^Qj5!CYX`r-5%xH@@0lS3|v;zJ$JX_MRC@L_u@&#O%3(+<)G*R8M>ih=>Ver zg9HIG-9aR&ui@_Y=15kP`zcsMi2fz;kC}5?z^Me(-xmz?JW7uYQ?(6clNL)agR6z* z^haULXbc2v@!~T$mMZfQHi*n{?)kTIKEd?ve`P-)5HsblG;H%?a$21kj9c1^C<_0ltX)hlw7edN?t1jE=-S1RGq{8iZjZv@vPEH zeti;ksebLPO(pk?+LI_YU1}@E5_XqDj^TM1Piu~kq(3j?c=+1N^r<;@-v;s5;=(tq zuj7_K5Upg>>l28sZ$|l`tf<=6wKL3L%;)}T+W$S86X?Wt5YaYo%e0lXl1A>R&9&kDVB9A=+p2SV%aq0xSLSbQvnV*uczcKuOf;#p@`kqJ9(M>)h2A0_hcEvg>FUGly03S4 zI3^+E;hS%ghmjImnxv3lbi1tiJ|8`nBtI&NXW1kAwQURHmf&Q8jujlm#L6o@D(aU5@eDy2xbrDU}~(U06K z;i7c(szoFhp8L1uK8b^W9T#;)?)r3Fyv6I*^>`f(BxV`UH8}Mrb4P;QT`eZ2yhfQkU}2*f)>aHq-*kc4jzp2*5dG!iIIcNObA)gQ2D_^to zctPB*Hxcv{v)(bpPPhT?#e<#}&>$_NFH0rx#^N)$IdLRM1pvhy+M_~)v+0DaE6=Gp zk!f2`aZ)<7p_@ye-Qm>vX){lqFNJk~o&(;W8vH00wV2UpA$;bT*C|rRM{iX+{zM0{ z=f|(Z^2sc*jEjpImw>jT%e-GaIlu2aoIn}ibKkSw(Ol?yL0az%`G_xxYSjZ94-#g5 zgNJ=`7( zADeG974ocJPrJh-g6pEGGoUk{g|aBVsd3`o5(}TS2J*gfjI{CPdNz}^@DgH4e8oLf zew!(HwTMto)`P_>6db-3Cgk#XH@q+J2`veRIdMN)mS(|yE)4keJvQoEU&ptCTuORCBZS9bHtI{xiW|E8{ zxh^Ih{+>ozGKNlcK8B7`GMi0;dpKtOrevIkVY+Jk^^JC6RCMv>+S)~lQND)k=w42& zgW<1@F+pn>x=i_F*Yef@8lj){5|de^Cbm6RLZeWi?T+ASsH}864Ki4t9Lf1(h$uQb`U9f*7Ga-%}N6 zxao0ha%TVPd&@KS!2z&Dkp(w%wca`chQa6`&2IU6Burk(bvgckmKYDL#z9@8GXVW!moM z-JTB3ZuQrU^O!!b9R7j1aR{RpXf~N<MQ-N1Q$2urlCra%e^V{TRe0~!cvn0PXZZv!1~-F z^8H2FZ9_N4@S|zsco0y(Jn2DD@c2V8?6f)4L^Ff0Vfc$aQ<|)+I5e;GtBR*!UbV#J zmNxb8xV~{qO%EiGHclw9NMf}&nap(+M}8AuJ+IR6f4-k7TY$> ztU1N!cy?E;D8=vW5AsQa8V(m86^DF&QH}Iq^SB3(%dq30pGUe%zZx}YMWsfNa5pS< zrm(a&stw0~@YM5-c&{T|4Uv2~n(E+;KJ;F`pMu+0ceE?}NoFkeXpV*`%r4ZACgcAU z)J8-6zUgWJsoJ0Cnwk2kC3n|If4@HEHHsWA(83Vz5x#89m_Nu{nIPSTqkAAI{0H}x z4aH?JF@QUM@5%Rik@qBmY)4;K?4qqKcdSOt41&EZU_I<7HoAm^cHEZ~QQ*lHJ!dn+ZhG4} zEzE6a3f+3j;|<|h9wBv^jiztcn&)FTO`nYiLu5ui2O=j6 zxi(wu6Y5ORvKw+;T8(AXV>z7F>4{L&^VhjEhGUU9$asUx2ZYG`bZk5SufZ6oM047MRg( zz@2e*Ag@oJ=z(l=72i z-(V)GQ-M!zo;*L`*3Rjkn2)fzs_klYr)47H!s*xg((rBaN&%gQ1w-tk~iZ|4lMI4_m5Ye|#T+4P~Zs*#we zIz+JcHa~3}L{7J3=;&oB$qN)-&X`&RA7D_l3IBfE|It8d#7D-iR3U652o-~<@nq1j zMD4o;GDGx}z`YjUWaSP@D1WO9DmJWc)uEdc+GyvNTBIB*@AwW|C$&*@Q`B2jEa34_ zY471xo3`VK3W)__;fM1b^n#{&)1iI#XN5FMTLD7?v2ui;q+?4v03^<17xA%!?P z(Vqk%KjJmIIO8RfzP?oi5+PgPX3>TyYF(ziIX8r_ntZB~@$^0G)%-vE?p&bw+y z)Awklw=(e9n$gKovv>TxaGJg?(Lj7R>n&|s^^B+9gOyFv=e zy{x`eb@U0`*4EA-dx2y^ffvDIom+B*yXjTiJb)rK1m%Y~BXG*XCncw1ZpP1R6G9 z?JB6lE1v*Wba7pM)NbERYJKDM7~bS{b~#aUr@Okb5ebF1NF@0A3AP8F=UUJG-I;MA z_!>qys#tA~m?H;;ZVL6qG4|vuZuGZ7h0k+8XP5T3$)(Nq{K+mnEuq{ z< zop-);qmQ;J#WAS!xS!Avb6I`?Ib>l3tiHc~y(1wdrPZuq0O9VGy3L-!d)I%*3m;~` z0&idArU|qgF{oGggF%fs;l1=PVJ@UeLeXXW0x3WSRam3*w<=x-dkAY+Kl9S}iJVAR za4+EGk6b3UIE8Oh-RNb!G4CelIe~`cY`A9L&xf^5p*41;euKDT@5ZtlUzf#go0QtE ztr|TWx=s_$xsmbErh-(QXTeuepEgpO5u z47oaPvopYch|Tq`uQnFrU+N7hC*ceRmM&=C)g63$6nms^lSRRy(RcfmML>)5Cwy}G zi-l;ZeSIQi8J+2jYpgewZ~@;&-D?SR0q^`RtgES-ff6R*5QHFWUH&5N;`sIk{Ht*o2q*B1!Sa0hI z4Lc?50bksR38dp+lOm&`8*PW257nn!Hp$NvgiEd52%XCrmnIFyEOb?Fofp^D@s1jO z5*L{dEL(?nz}xO>_3!4tLTc?MYj4vM9FP>;aK*HXkw?6XS&9zLbKfU+V$UVxzr?e2 zlSp*I7T8LIm6CL&Oa|o4s96#_y*|5AS8@x{(=0?B3F6AY_*5@qesX9vSxXwBee7il ziA+EF9oe8Ss*hg64t`zX`@|kn?M12Q81K(FpOs^j8fexs=Isu{4%?}0BrJO&?@xR< zUlK+Lv60+rj&5s1hi1N;v>?&O;eY)tLvKsOj?&$_^6ko_Ru4AORUE8V{Tp1Hu1B%r zvW|B{!$>V3Jm%sP3h`|>`M!QaqSl8Bx8~$=pUG%oS9|j}nCwSF>4Nko<#$GdXp@34 z=6F0(EpkhS_cz`bC0!xC_Id3oSjMT>s<)$i=_O!y=1G=kH7?L(d;#IUZHkDZ?_#@% ze|Qa_h#D#B#M%ee6@lg;?eS=pX0x;Msk=*XB)``UgLp)W;pLHA7!hXxx6NZhLHC#M z-?uWTAKg)EwfbI`RaSDUFDU0LeJ=Z=Gf~P79p|H>>MG*oihx4BeWADbH~7>tA?((( zJcCf-$jC^HnwlE$Ac=eQA}*c*vroz^?t4YCHOD<;CFAUD>*(}zJHa}p)MWF{b!8SU zPDZV*@_N6~Mn;1>wx28!dk0;sN`#fF6xy3-^U?OSY7IPGE1!L?5-B%yqSayNSX%q| zfXS1X48f;*{E~W!awKi|D5N1k*O**r?1<+qm zM`w`^gc{~Lm@&r$%S^|9V^s8uCheXW_xZdsy`)ge0j5o<-p{Vz)G7PVdMu3B40b8- zxEmX4UY;8mkj#!Mx{G*#x-f)^3a=$gl}FeaH;UOWY=&o}SEL8C__tCsf;qLvyjDZx z{z-Tfp9lSjBj@$&%N2ZOH_6PB;pZP37&hB|hp)&!dbE~JWc+y}e8w2`vf75X9KPUm zUR5owoq<^(K>4s)^}Y^C2t^8pnNN?aE2lI3wMUb$GZZ5~dRDxTS=Ed@-}Z}$9xO@(n^KZe1zBFxzc z2&5ZBTKc__mGusN_AUcZ&n|^#d%|dlXMb#YkEX@Uk1EIAu~cKByGuo$M!pdnOPhj; z!m!Wzi@n0|1a7a4o&*&rT4m3AVr(4l{1B#mjky^ghPhmtNd3sxNs8bRh$&#~y1$f? z(v8l8?auzFh828rv)rx`Nu=e!s&>!YvVI)#(` zXJYbv8=R$Lwkpyw+>Ivpd*GW$9^)sCF?gcm;4q+7*BBc9U_Yg(S}Ac)G?tWk@ZD3>z+s=P0&ezE%@A==86&Ie2;mT3CIBdj#q3YY zTdV698t)vo{Hxnq-NagdO}~~F;fHy4BbgrnpM>@m6wwE3@wye(b9|C<3}$#6U-fZwt`A_X@YsUl@J8Tx-iuGvRPasPo_&+6$)p?wcOLYLp$3?kOI{&pllr;9qFI`9S3Q#A&ZM&B;%O|KP)8pKDV5195(OlrN|^np;z3-18$~t`R#eYw>r~8!_=@=2}8r+<=c+x(C3GkgyGOm?PdY*NwzFdrpsE))Qwa^Ph`mM;ikaN-h>8d1pv z5&$2nko7VAEu>WGA7J=xUq>)@zFIj2Y5(Aij^$&6O7{)8tPHx%v&*Y;alii?c!n`mM}OA`TuuTQjv7rRQ*q%2JfwQ3 z?KlZFfb1l2T1-%T=l(C4`M>E|>-PU)mmfRQ@|gX(7yn;y?LYi1K&xR@O&ZbvFTcpJ zjcWTxuf>b)y4{xXI#`pX?E|avZfGbodw7`-RS-HY zQC3jB7xF+bJLwQ7gKv}I<#!K9g$!pqzbLYZclq*gY>J@yPe47>t!^!WV_&LJ{?|2Q z(~EYxtxZDwA3pnr`ahp3z+nFuS-tslrtE*?;QvtF6o{Kf`6T}fA5Qz{or}Hro^4+w z_0Pc~|7Qf8FR`rW|A?di>oomyf&l{kpU=oow?9@q;T0}p!*+($y^w!F!2tBHaJ<1v zn|C`JaSiCh%@`PVUZqP3{eAFBc8{<1Zz6s0^KcgHXdx+gzOcVxE~lRXkzlRc)Cpdx z-}dPKds#-Sjy_PUt>EUKfr3uqzVA#?TO`ZlTTGgyk}9uS68xt#d@|_#o7z3nw3LYq zm!k2IPYy(G?1N-x+e5s>!-muF8lLkKd_xyhg&gWRFyt)YuvS&XVAc4 zosRh(h#a03Sd!K7c`5V-4-c>H$_<(q={da|R=u;3Qie66m)6yr_GZGa*iqH6r9?rt zQ71#y5LJeV@abm@(akqPr!HxNu5noEtPabA4tOL7Yj=gUKOM@ljHWyt^HrV(i0IYq z)}WjdG_E=NUMCGVQG~-Bat-YVCi%@xg)6YvnrR|o(Sb9d1>^c+0Si`&OQ)J(6IAoY zWNB6`P~6rWE-}&7SjwC0kTXz*9#f!B#2-$2UNURY8MEN#y8FI&HCta@t7SV(#+upD z#|C+>$?yA`1y;lt13!nxQaj5F!~%xIZ;;ER13@HYo#tm%`=u!7g2eJhpKS1Mr{Wn$ zV93(JMFh9;5f}t}hzsF+?_=F#hk4BEocH*SyO~x;QoAMQ#n+hW*vzJ$KJyZMx}X^U zh=9w3M%U~3gRh-NyiKTglSd}!13Ar~gFoI<Jf&4f$erCeX}P1mn+{0 zPpAR@6y5TAhT$f;WZ<%2OR|HYqdOx?LsqZ!8>)iay+#Vh_Y1mj!)>148#;GPHWFHR;2% z7c3)VCEEP05as;O0br8t1M^?GyR*A{cyjU+G}}7<9YZE2CT?qQ&j-2JVCcFbh|0!0 zS8wrxgy1s|0-OF``(w0O+0gkaeN?1yE)%r?hp);L4R){7x6j75L^o&TL+$Kwdj=A4 zSL!@x~xgb|+5+Bq)PPJ>oz)bmUU7z2>7} z%12pB$DMao+^Dh7KLkqi$eq1E-$B-Mp!O+dOtNWQ<}jve_2UHDP<=(6_{^n)3Pyj24QO9720|`xf=j7Ylc^XZ|DeE8<1fTH zC5gQ*)h$v7)0f{tBON67j1vXUW1i4t&Q?CHwjP-zC+aCRTJMVv$Jws7B--Cash z_V@W|$a=b5DwdY#$&X7U$jDZPM|h_3j4I>zRAG-XcI46RQ|U?Pz_L7of>jr}krNHJ zVUy=>QmY1QW5Uld&^ERo6%#hPQ~3QokvTZ;Q-6z}wJ--aZf-2CCY|uvajRg@zvWqR z7R8Tzq$Y8`tuYHYy_h#$2_*5)V60LnWb9X z!KElKYQWjKEG2>R7~qBd{L=H7A?bz~AnJ}JV-Zu^#>4q4wLj+y=TZm-tkTslLZGS@ zkTuy#tL{5KB5=dIUEai2SA5ZLYa^%K(f*DYjfaVc^%34ms$QmtzA&-*=|KD_y7ZII z-E>`KcwcRjzp&fEnB|Q7z~ABf?)fJ7!|CZBq+dDmm?_=TudgOwx2ZC8=Gd~5@HvWR zD7`Enw6FhVwrD$+-G|xi$=a|XS6+BaIcSiJC7}Ou+9DADg)>^x;+P2wCb0^p^C8LK z#{qVm6T|_qz;CB<=N2;Fcf3$GBS{wXF&tk%Q6Toc@;EDMooVFq@v&j-x?E2to1B_T z@{a`=B_VrPg<(W{YjjmU>kcpDkr?OxcClu!jmu$ zZm?ele0yR?i{~ZV`Tl}Qn?JHjui2kfX63JJ)qQOFqpnOOd>FsNE8!Pw7g)_Z!(YRN z;xxO6oGe5RlD`;xa-;1cF>2i!qjdrgE+LAO6T<>3{#UQ}--qtP^ zm+mLh7xBYFj7f>XmYdwo<7RM?_BMDtsrH@w>RGzjrM@&dTlC!a8G`NZjZ@8~^-rC? z1_o$lTY+28a4lLC_x=j^n7l1IzcX1tc*u!hGu7fb<7O5^(^L7G@6C`mZ0M$uLVu2= z9>ejRMufaOkM~V{WyLRgLMIJvDYbKrFXYrwr_~BU*fXLO?oX{<`?uCn=cS6at!SIdJ&WcHzK%Hz?x7p(ro{JX9f1@6X=q07x#!RQ_i(MT2yB7cD!%f zsf>whQF-qd-QMmxpMa{gPbkkoT^vpR3_TL(;p+DC$J{NBh7>9v!1zfs^O6)91<{k*t40*u{O(z^<8Z+wXS^6)0g zj2VjD5>5%kWQp6HoZqVqAEfYeB*Ppvqc}wsXr|2wQA*BMxe+Ni`N7GYEaLj26S5Gr^PBF372zgkKYmO%x_4)6J&h zzA@tUBC5}o7pjB~BUT1a!vlz#^ylkWiG^Ut#@Fgvm~-C~!-OsK;-%evX^rxe z#VC06_w<(rot%T!?5ebCIWHraA|`tL{~O00`!|l8=t2uT-46#Cg26)Wi;#33jPmj? zSzOQZ>6PAGEixH&;=VeYXPkGoNz4Q#yZw0IOESDxVevu2_W5T`o#$1|xaP5P9A3p; z0Pn8mXpz>iJWJedG{8A)P3}7ww$04Sw39HI<1T(tjfTD!ie0h)Q^NK4{7PO5$#4v< zK5LrdX@%kDOdNMh(aKu?0;6?Sm2y_-x2LIt1bDxSLV5QPkO< z__8wayh@bQZURHGAlN#)Qhda zEtOLLj7yfA+Ajwjy{PU}Jnf@nAh@U3Yo#4MQp)(q+tyCObN$}S_wl^_;TR>|gzUvs zbgevD`$4)`V4CC3Ld4N{A6wHlLBu{cGlqIVIFZxg53y7}b1V|4o98c(kj6eR#GvT3 zP?)~M$i&$7CMQs3l5c6*54^c}vef6r8D2D=WEuVWKZNuUd>j6Vgx@*I{nVVwP56yC z`YVGjR4|ogdZ!X-1uSky&)rWebe{Ne&Ng3v4QAgM{pm%T6LBe29sTAG`UyK04#a_# zy}d!;n@P91?9a;p4w^Ay<4VbCd!iHc>!k9dX?r!nU_Hs)%)l#SnPTGO1Gc)$XeJ1A zgSdQlTYW%Yg&WjTCF&MLg=Za%<5-eQJX_EC{+@9=_SRf9ZPl6x401CYcsZ*l^ETait>j2ma$ddVXDm}7lKD`xaP~< z&K7ye>IH>}xV5_+QB!82ZU*=V>qcLvHqLE?7NJ=iTO4JA^)FUCKpUQrK})-i!O+4C zhB_ztUy>>L>4IP{Q$7{;D{Tv3tH&GatFbe)g;PDl#XLTEW4~hg%TDd7A#gmJRMK*0 zg|CjONm%X|3=KGY8rzBRX#7as1YQ2fo8M{tOBP7K7_*3BRA>4lbswIp@dyEXW47sw z>y|-Q&1=;RE!0Fo|5}@Qd&>>h%H85Evv)MC<$O(SJjwnWzZakWT7d_<&}v_t8v(Tv zVjlk~ii4`_O=)iD^>k>EmtkM5E&lpfaIQT^S#pNvThsJor4Dw7owbA=1_-$vwZ z|IzWzl7j#?Otq2qi@orAq^Ma?NCfK*TWO>+b#W0JzWY0ognKY9Kc%P(9s*PUn zjRp<Ouh)wAMzweCeeA%T zJd-P4sn((i&%N>#HVytPEZ|PN{#_z1JNn#pX8&Jn%V5NBkfY~w^xhy)WpENQ^0HAw z_hr34RyVlJgF~|r%|gg#7pMd zHN3xjqaszyY1o&PIJX^lBzjLaIpaM)FR*-H%Aw$f*gp9OgT8cRWaOc{0H}Eyrye*j z5P?v((iKkJRffl?QRaQ`Me*iMxLyzjITZ&-3}_QqKfR7_Ywe8sHf&pY0G0+0SqY2! ztCc@=UBzkNU|E5}RE(T~Xv$OV$ zWFIKb%{CcI(xmDd;kojB#5y{g%c&*}EbR*gPmeNBy`xPLId1xm=5K0(``a6S+}}L2 zw@wh9fs=)r6GFY%QtOET{N6`o2b$NS3}3k?<>yAF1(sqYa*3S{yaxb6nY;JI(9g zJFcfIr06g09`Iw%8{VEOC(o_O&~k?|lQS=Jua>5eXWGrnaJ}Pt($e^zmTX6^*_q{% zSe`4}_JtSSKTmZ=#)?8j{rLQ?Cj*5#Y-RF~H{QqcVvoRW4$X&6eb?`NwYRVgbvTed zyue4jr|+hYhz^aGkg`cR7(Ni&M-Yr>EL-@m)Xc|I0}M96E` zwAoCmVU2j0<2EVpi8rRh+K(wNu7HpqUURZ3&u-rBWFd*|O51md5iPSEK(=lA2IJU)6R9?syE59ydqWNA1?IJiQ-#$l;H$y2e zR*B!dPE`CaMgJdhFLC*7HVdK zQ3y%KYrQdRt!Q#%)YohjKic^tsR+31aeBofg+yNYBaJ6iKCY+ZGinanJe_x8EClN&QmL;c#?zh zixWn_jsMmPz(knbiW!glVDd4+C$dwHdrW+SRrzYef6Xd8j>;9@y6Rp}R$~KnSziM# zk!PvIu{rw1Lswa447#$;#nw$wtGdfOZQWn${6r745y zn(wytUn9w&)lyss=Y#Dj{C8e7ox?56>IRo7+WUUX5iDSq&&jT!rFkAQFD5WqOT&hGA` zR~{Bu#_udN(5@!l?yQzz*J*C%80~+tIh3*Y1lo{ir1s;*BRk#oJ*Zr$kgmgNjGjQ= zez}yVYBqnOAey$nuFzrb1UzsmQPj6+v{;ecdQ$ENPbJ`^!I7JYVW;8b$@Z`6Zl(U{ z(@L2?W1w%nIoL&)zk1uhb1%22zEs=GMYqv@Hh$_FVhVyh;j-FGg(cw%bU4zM{BgrB zl_fg7OQC+1PXPb3+OL~i9UtT)Jx{GHR1zoXGJ^zZD_8BOGQ$NAO9b#Pt?(6e*Eas?QNCawl-21 zZdVuc*klXryE()}B)x0iB|mCybu8X;_nhc~e-5047eS!crYsV=R35qaBpqfnkhcx7gzOh;>dMm5F% zcZi$atV)3n7q~T*CA}0@Kai7)=m(T^mLTvYK%v?mEWYQmEE8zd1IXLK(b3h<{o(CX ztro9T@V65DYb~dK0N3^<0l{y8wtj*N362*iU;o_y6agtbx8GY7rqWyc8=Gs$Y12-; zj3Ikr$y<52YTdRy8e6OwQMSlZ0)+_srE-1j%Sy&L?2mu)HEfTNRww(dcrD5L8n*X} zbA9L<nzg>QSE4kzX1G?j@eZ)4QaytmU5N~Lo9Q*e{@vr)0RI-5#;&G(5K zVrkipsn&039}Z=ZZcCS+N{_6OEhPJOrrgNm_RBG~zd%HH~tnqIM( z0}LcUg$l+jRmv=24QX>@g9pB;at5QiV8y}39yX}9Blc-^&ApUKYf-JAHrEW!tR!@M zZC000uCp)}O}m3fXYkc;w=-6*DYgud)$onG(C8#p-1NzUe*F1piKf(@#x1@HMpDVK z>S1U|Oo__$&Gcb!*UHlg=aZ7Z;gyB#e#Yqf!_uQ7J!71TfKiv*=uPd>r4UvZs7wgA zf$e%EPcxdYB+YYnHeh(GdFMxl*wZ=rsl&d@Ul9O297_GRPEe-czvv6+zp2ZaV@yeNA)6(hKpxV_Cu5FDauHW4KJ+hmJ!iA1Ew1BAP@KGwlNsNTU8&cAT$m#?tN#bCQ}Aao(hyaq zy4w=1@3ia!V_!6z*`_tQhc98|%mp5YBoNc*lJtW?<&InC&ig{9SQB-J_+!PI13Qze zJu9apPC6?brt(36(QsI5Gm5sAlY40K`S74C!Ar7xOh5r`2mo*#8u?)H!>&Ilhr03W zbfuyA%*J3}@9OUUgF5mw_vu25w=lDA^G{&KQ!N39{Waw3Su*^DV{ZgC{$vof0KPE!cy)2- z9f+m~Lqvh2TA!qjKtW{}R!P`sWS?ceQjjv`Le&bP)&$`0_P@d1n)AL_lPX0KOdL;l z=ZK9JViGHtCa;lB6cjp0yzg!0J&271!yvBs6mN#->wFtLIVn_bpJ|9L4dtlO;t-)t zZ^sXuUFXkVv@C_UY#EXQ%ZLxvRJ@+Zh}Yq_yq&$wzGUzVN;TG@qlDb(Yq=3vvzg1- zr00WD5`xzX{#topsBKXL=(Q9{~PHIT^Ao@Hflg`TYjnpso_d zm#ym$v#Hz4ug|QWN5u%9>&e5(3sSKe=(kDgv2y<8;U zpDwS>a=M?0DbY!C2tr%f|1lq+j~h~M-MqHOGf2YI{NwIiPaOE+uknw-DpjE|zg($UNV683*itH-VX!9BB>{jrkFZJ@ z;|D>uw*=>Z72DmzDPckjb#MF5IW;v-t^={gVfBXgy7WgQ*BV)5GIkRCZQotbt8cPj z*dNb9b}wPMV>dbIV8Nr>j>4nS{&uj)B2qk-_4Ml|K_-*VN5#qlyD4H8N5l!lpqG$= zBLZ2tkhY!mc-VJkV&o(XJ=h8X<5nQrtD9eXkGo*Hs#=OLHc1bUOr{GBMwI*NmFQtu z!|m6am|}&%${aCQM+C+U z<=s#bKmUovJ$F;hcj(}g8O4l`>asA8v$|}T&PIKSIO;M$sfYfHQhx)y8q*X+KE;VJ z9A?chCn+us&bi=_;Ex`sY&Ee3nDv*p6-Lg=pgghGq`^1r2^{^Zx0#h0EOg|BTG4RQ zXy5ARkv_V_v4{j>X~YwTq*u5KJP{Qd>M|j=L+0uS$H(16LnplJi(iHgmTvPkYx%Cv zNS^_H>O`qn!)I%BgSug;!br;g?-+08!N$;SzEV#U(sEBU{{z-76<@M`>98%R7;vE* zl|xqw(ka^d`a(egG79j^r?no}XN;vfiOgsjVC-lDYu1#r-F6cYvEqOUJ5pt)2xyvA zI^FEgBjA3VC{k|+flvv&4#qcg-dyk@ot57FKGYkx=kz&D)Nfh*K~o*208bcPHD8SN z)=1U1&)J!i{-C;@Win#3Nr~;!DrMJ2*kXK-)N^!Csf~X_$TK15Dx0#e zPm!J_SLc||GZG$yZOYz)C&I6WPU5_oOmv5dfiKxZ=54<1c@yb$PDvB`cNe-vLWy0; zx)aOwo@{%ye_Ff{{hRDAwa}z=+2c=q#&KYUWiOlW6F)QlJjMssSEqia zE_I{PV&ks*+W%=lLK6dmsH()*-1D@fg9%Xt=i=GUc&lc^o1?>`J2%cKy{Iv3^c-sZ12Z41^)0SI$|`h zkoy;hV-1}Ql23W`Hrk!>smf{V{TlL9XFbIbc_Mn@{>1{EgvpkpTel_fAt2TyCevZp z!YB6D>E6UOAUx`0IV+y^>yi+yoM$Y9PnPe^L9DuMX7Z+s_=HOmf3IH>KgU4My@|)o z|MQc`TUyKf)PmY|N|KE+;eBAfFjkELMolNm%IqES{1wA{a@_E?kw;EU%vEyGEEM-p zK5w!V{wk`gE15P7lCGM(E$LEL46+QshPrn0X*E_;bG`chUP$}O*F(lxtlg(lgcBRDsB><)qQYBjS}9Z6=bpJxtXe%U^s2tQY6wQwy{2Z0 zHd*1&7f`r%Hc-raem03o%I(^mqRA&p2=*ZZ~84@LAC@6cG7sNw*1fTNHfoJcZg=YBcW@*qoNsfg(4NQ zat_vIz%Chsf`%r6Qfl5sl}U|-+}XK?YP*pxR`La2f8W*V%)l8jHnzb85ixiw3AYZ3 zO=mqY9oZmaM|=lR9S;u*pq(K70v69D;5T_(4_=Xxkx|WXSWJXXS6fimF>7jSmT1+t z0f%Uy#=*hi4e0d+8C59&u1rL$LvlS@MFygIHkiNN3cbLBr<~ z9Yi1yat|#mo+C@SdEG}mFDP$Wqtb(Lhy~P(IIRGO4ER=^``;JzCPj-= zbLVrCTI>xYm)#{XMSsIZeDspHyqC|19aFWX;^HK9wxJDLxI3CIAJ_JRnHD(}ysaqB zgEFeyaz06-f?7N!01WLNQOP`ey4zAoy^d4DCbgr%&m=<^?E1SCA(J?ih z5zak*Qgb1OJ8<-wSu)dGUF<4z>PLO3QYbtz^dBQ)M-Pd)l4~{lP39b}RDvu=ksL~m zsr8qu1%7T%KCQJOP6raqP9H*>tk&ZAj_?mHJ>=e zO)E<<0qMJ=6Ebf?#qs!5_blzmJLzx?uCBIFuZ;;*Wm|Old6HGR_|W#nM(jV>**Y)I zk9!oIs`u54uG=GLu#*L>&i*Iv}PqZ*X4fxSRO2DDGUh%Lz}_ca9od)%_>CH6q9W~U_# zkA6!->GrAnX*KG3bTLe223^jp0n=Q;HxC&A9{)6|h1^I;r#wxp0PNV`DwNB?InoS% z@83U|(&Q18^U+Al-BDzB?fp(69LSflzv)C#vbFOc)Jl-v#T!V-m)k|7eAY00wIcRug8zx}q~<9OfW z`|*8#__fxv?&rR*`?}8Sy3gypvqI#-jq>C@|i^%6}uLs@eQBV8p;HEM=2 zak(o#);TWMyF`AtVKHSo-Mm6{M;yB(%QvpHmowpt^YIdI$qp5AOHQyWG6a{*LD~Di z2d?~bAnT29|4a3T)G60<5)|A1Rar)vF+y|ngyWy6Vh7%vy#K{qjD)RY#NafR+1>Dbfve!$r$ZQZgh|W7`y!60Suu zlQgPHVY*rN*_LSRoqG$B;j$A#MVW~w|6&PWy6{f{-hH>??+Lka{3(yi zVh5@8?>f4_XdK&l92@#o_4Z##rKW!hBO9FI8{Fk~_}_7T2@>u9N+`MPKL{lkJ~jWl zitjJHW5ciZ8w>u@Vb=Y(T-v|r;GpjQMe_X@s_ftNm;cYcaM(rok28=%L^;Ln!;`B> zK~K24YNOY1u=(!tO=2cX(!e21QVnVoNC8pZx4!{gLW0D9!qao@8FV5+;IX4qV}W{>Y*@C*?_Zb;Kn2j3zmzd+?!B|L;7z14e2-e*9?nlwRe@u*Kir zGQYw5pqGQqBpb=<4ybVy@r;+Ua=_4!m3W=KbZG@x<+DAPrM`BMg>`jxsjsXIn#jW) zWI6Zuh1ZyB{Oqe&XQDq^QCZoCK4uNdRAZ019RJO?4~$oWN>5AP-8jRg{;{B-fEXhL z=zK>%sTzrH0*5`*_@Rls`}>U-H5NXDIHdE3ClWY&c6^<-M`%vPr*B19$PeC?oZ@K+ z!7SzZNX>84{Kd!d9%%b2>$;K3E(sr|C-D_(~U&E{rocY(=}FcOP?{!(oJNT+}x^i>N*l6S(};_ zq_L8&BGUq!RlLfv=a#O#Rhum5xTcEvQw&4Nu&s-xjNwwT;HllcBkOObuxVCAFfDH8 zKEk?9PPbdVd1RsRF!-Rsn?G@pjmgr#5Hq2VV#02;158TH$0kmx2#X!A(CG(J*Xx=N%mN0<-g<1@*fV16E!w1^UJOce*fV^@8F;& zI5tF^0_52)L_`>t`q-O4aiiWpa#wtWj1|}@WtlYiCQDdEy@$mGm-zVWS109wkt?aG z{P^|i4-4Epio~ix6t0FsndrTyE<{(w<@GoK zTgSuWVp7so5memDw=0r*Q(_A~sIaoD*pq*QkWQM%$1S;dE_GQ zg-(!j*45$7l_7IY2HsamZ-=ZNnUDiUEe~AfvG+e7Msro&7MUysSsQCyrC8|vW*KzM zWgTe^sC=1{9adu_TT^2MDe)2uAZS3R(@hzY3JS%s4N*rh$6s4AS1!15;|9?g4Sl|` zCUsW6LnF^+DJR@rM-Au-ImlwpZ{F=Mj;UVBB`JOKn-L-33|$0u?f1O`1G7F8eVS;< zd3k-?V$9JUoX9xL)!*7Fwnf2X$*Q>Iqj{DEF0G=<{=+Zxs+d}EpoZd7=z_7q7bsN^ zjj~^$Ey($G+F7c9`9G z4Gf*w`CxXY1GZD#;a@f3;;wvHoS~QciO%9zQ-|{dVPK)*J)Lyzcu7?F7A#-Bymvr3 zIU3G02DhfST9!;JkR?l?yhm8 zbOmB*i@QR#i(Fd4Ghl=B>BXuM{psM9lHEV-BKx2uQV-H-@%YaLI?*3sY1B9|E{kFh z`?1f@DYgaPy$5V;Z5LM8w_+m{SXVE@$Cq6n=CZ`xss_y@7+V&ZOTYul1({%(K7ar2 z{v?%dUs&=T`a@`iPf`oHg$jxH+>CqZ&p}~y`G8NikQhCpio?JwG$WOws|hB5$RxCe z#gBUx>?ivhdohmT_eJ#?=j2@8?f`*3QP!Rvv$k~AT9QtpY+}uiiHRQc#^W(Tor~P_PxAu9wwfc zLH+b81>4novj6a9&-W6Vw7{Fk2&>YH6Q$41k^R4$lV4rhIXNzql9J-~F8?ev`UOp; znecf^VN8|V3Z9hu`g-mZVLd)*<{gCDpd6K5u5VkP-~XSmPX=x z9v%)vlR9+Wd3k%!iVsHgsag>(4<<$Q=0POQZ>Vi`W{clO14d8?rZy2iWY3;GI6IAo z7J`i}Np}A_M@Pq`6cJ%z_x7L415cegB_N_Y z-gFIJfO4UXQxA+EQs7L!zD_?sE(fuoC-V_K5srt?3w5T5DwzEI?_(XWcpuPkSVJG=t|vS8A*GpG&zDAdyKWJ;PfQ4`3xpQ-KDfxO8EaM#08whdT0|SmZ z3l_ubd9ZWkd9G4t@CnVIxoeB-la%C2eFuoZPH4b`okJ+d5pf3dssv&uG1rk*|D<%P zi&*tk=~2q>-APE`-sSf05159;lZMrZy@g_v?9ilZWY0?saTRAvQ2+ENYY3W7l>`gn_t>dD9^kavvs!{`02+ zB4#CHLL02UdMvhq0Dq)&XNe3zrX76Eh4AoOA-U~CW~DxYh);4NezhW|`M(irseq4= zDto4XJxRuP8LUMoRW14AN-iJ#T0go9T~rtKTn?Led=(pscE^0jCO*=4V)8))@$&Oy zbZW|L4F{VQ*epfigpE_H4hD)nuYS~rwJ9JV0IbD&fIW%OT>TvYIY4LS(rlhB8Eh~$ zS?5U2!{beP#hzV0n6X}&;Ga_>z&_d&Ov3G>MfBEwxhz#lKib8A)Vr7xQbVJyd6u)(mGBEqsj09X_>Jd4%*@sw!LL;11#9w* zGKDT`>@hXvcBCcAur(#`R=_asXk28czVCv!^Y->mM{tZ4G3>YECtnk>ELR*E8R1Ob z1gdYbi&QdTV$aBkM>+rLpdgZhr=|b!JL|{C{ru$NOYebHa} zO03TB2d>aFUZw7YFv%iE$AKkv_5wm-Ovb)_``}`#?dsg2J%eOB>`wd8RqL?% z>7x%Uhpy9SeMUN!M2+rW|6E^!)`%?@TbW$MV!$VC;N*0eF+=+`q3KA-r|gYb15BKX zP@QJ-kczQH6=?|>YYeo*ULvET`?0oZh%-RKiTJosV3oJ61YXQ}T3+~|&xDNIJ87b^ z6+Og=Z950|Plzz)=M$x^&yAbY6;f0JUjUJM1q3KKXS1`j_k4bS9(uxS&p-jy3$})s zJWuVK&iy_fmm?S9X$ z%B6>VtlePyKyh1G*t1t6Hwd@jwFORE=NM&ktXZ=LApbRe9`knx&M`G5GRzvp!{Lul z_s8lS3`myU&&ufM-TPfcW!N}#OS(n3Y=k4y~>jTqi`oTxzB z?M1?s*810@IQPs{)om#K^X+P$q8O*uMS6 zx7kBcM5^caRezU9r&C)L$Ht9IP9*(N7gN%-Xwf2_7YN)@6&0$`(cr9O1h1i%GKX3p z)*;L)BHAv%ey21wT?2H;I?!@9BUviXs%qCD&+>4Y{PCvRwLuz5y8~!Fvp>5PU%cfA zn78=G21wHgDCg9C=i)eDJD`J0TMiZTtQKHE3JwKOjYJoEPj~lOgY1kw=a+3&@>!y; zUL_EscZ{o5uT4oD#CL#~&i5A$?2O9gy2`;Y{T0 z822U#^H}Vt-u`|HT&<4zP_O8Kche8hJ)tF34Y{G1=@9;(3O`=!O?P`9Ep$3k$^7Z6 zqN>_Rk;>v!P*B+A`AMg%68&OCr!|7mPklIMPI1%gIU&5Nr(=O@H&2@2l095JA{?h0 z^8l*}@6FRR_a`Ioa7C*Krs=G?4&3?-l$Q0lOt7C5;{!MUGa^Nosly_6G2NLRN!&R0M$c zQQDjn}QP63b!WOf@ik?E`+Jzc-Pm+MK(CAdG0 zAP|!gv~VRzwt2CKd%>JnXP+v+n0%e_l)8A*pr3O18eT0T_WS$yNAQOpYL@h7)1*zO zA~Sk*Q^Ga)Ze`F955$t&4~{33d@3`vF(|pstN;2lt{?~ z=9pF4Ja?(YS0a6L(PSUB`U2Yq0@wuo7_mn%gh4M`#eIFd+=DP316m${wl{7+OxBZ8!25LuuJ6NF+i0IdRh3H5z?qt>gl!f3Tlk+=p>=MxVVyS?baaE1cwoD0=w}$0!ZlZ?Th3fWN%v^9u*E$$4b3uY;08AcD(b!Qf$q9`l1G& zC{Br}tgI|5x#wYC<>Qj?8JZ;VPp-X`Bf>(=3+YIhv#^2Px+;04%f|?*D>SY!;!8PL zCkej;Fbr&P1NojggMrwDrLQ%;g!%$R3@)RSfH+ePWzITclhd0!jC);?ZWRoT0prAp zdP*&Zkb|OET7kBgO^d+~Ywh}L!42?Oubt#6-pN2*OO`LU=-jnq2UPL=C|5QoDW7~r z4?v5JQ^#XLLR<^d3!1r8A>RTySyqe@J$Q#@X<;npM#*Cdn3ydVPHMr1ZjXWmj5R(+ zRFs#4b4u!n`Hf%Mw|^Bf5m}KHl9uHOVa(YGB-OIsJ^KjY12>R!t3Tt=$aELzsxu=W zp@ywp1GqJI;lVZ889>nD)w%qM6Dv+2Jn!DfW^2N8$7$qx;E6uK0 zvEuXGXjK;AG+_`Nf?CpuROEPZ{>g5o;laV#Jkb&FIbiNpa6lUA`mc*zkCLW{%n0HS zxFAWwmWkYUtRaaiQfQ`wu9@!Dif=qj}i{YKs2rpgfZgQ zh|y8cnOV=Oc?vq8U#6%&t)*`gHA?dxpaJZLLvKWAaJQJz{WD;%5tU4wvQfsRQ!nGr z6!kcj0wE>6s6;VK<v6sDV%vnLik_lSrdqSA~TEx#ThF$2L#KqX7-q7je4bT9!&)?(W8H%Vn5H+*xBOUja< z-T}PY%_JfsV%dt{@#^1g27VxIZ{P1zqh4iWWAhH$)kr<85nqMs^3jn~9z5HUF=wR# zE4qj*A}X)y_VvC#6fxw2>0ZxXf3vf-tp>hXv3m94nad5aY0XX`ItUSQ)Xc;Vtfl*{ zE{HMiF;x)m0J>5SW6obiJV>BOl~_SAPc}yw1eQaxh~t4AcA*XFF77 z_lB=Z%^Vs-5JV5V{F63|Hvlg{gqa=l`M?RNl%y7w(bBci;=hXTDpYTvCsiln5Yv?l|q4wBazSA4G&g%~{9KX91eyi6jBG0oA>n z4*KKRCr-`VVS7Yx{E>&P(5-*fH+jLsd@1|JG)xVHG1-**dm<;Q#Eps-L5wI%JG%@S zDH$1=&Z@9fBrZUtgkSQ0iUZyoa*n#EXNIYOf5?z~V6yOq$%wQGIf2SfuYW@wpcX8pe>lK}OBRBz_6i2*%xc45B&G9ayP9NzQeV?b8{azlbz0zaE`>slXS83-z0 z`luv|NePO1NXs_CDv09ORl_NM_0S|#w2xE<2ljHTMQ*ifvn&xKno(%&4MmR#4Wfc{ z=G-W{2elv2*tf8Lvh?9yM64=RP#_>m0olq6^?hjZ@XkaEo@-g5h2XfG~sUh zkaP2$rHBv%5Hu6Fcya|>b^?`|d#B1aOm@%iJn?J+u-wjp{^Q(Uln%V zToh}Pe_{{5MvCXlO@c?bCh;obo4rG5K#hU|41j+$R~#yQLLnB*R#qBcjA`I=H8%S(&izCUWL zjz28n_}B4{jt&`wDP_N}&ytjUW2SbM0ICw8+t`6m)w^fO>53HoQ2O(p0SrY?x=Ho) z)Mwxb3TMSzX%zNRhO*{lwp)d5e!2!vy0O#Mgs8`0=!eUc-$Urfrj{MstPVFl5Xl>k zWQdA6RxF|L0C9yLv34kp0{8rZViUr%5%ek$u5YP`b4+>yuo1X5Q!7rqGJP7#6)2{m zu6G$`XR(u?x)ZE=l0t=OTokOCxMzaM2k{c%5EDrbVN!tSJn_r9m3#z%#DKA?Gtzk5 z-#3??bcOzs+vA!y1Dvd%*Q7kc$KR&dD=H0W!&8jU%s8NoL7Y_p7I*jc?E`)zYF4Xx zpe6OI!*y6XdtN{#faoDH|HzX`qH-=Dpn*cxyQ z;Fi#U64Z)4feHy`k3mMOIbeydftsXMB^0!Lu^Y%{f`d4L>qn%~Nmh=-YRABMo8p2m zqo=G9r5Hlo3hq%rT3Y(~mwPxydx5DjtqQH6UT)3MqN%>+Q7eBEt0jn{-Ceu@9y>{v zOhkNML)KhLwxhnlHtEQ>UJMs)S959ol4Z+!Aia$Zg<9aFTI!D8r>CbykwWR__q4(4 z5xrl);TUF2u!lR=VoOalcMIY~gv{;X>gw9EVX*ppXJ;oyyZrp}wYp>b^@!qTq0@R4 zef2iT&0a3lOJ{jWEZz1$SD~(sk@@91+w5Pjul?oZ^>6p3{!{y_MdknH3!|(Bef6w$ U^od%t1^Cn4ue&c-Y&mc3eu9&NOuSvLK>vI1f;w1Uk8Qv z{qFr^-0?GpfO_`cYt1#|na`Ya`@fJCLqR4$hCm=F65_%N5XhZZ5D3EP-8Bafh>nf2tR-29KUw%?)GXiLExg^$d(PM z-K*2<)-AG!mE>tA_aDx!3qE)?^zMY_otniYL%Q2o>qgnwdfDXQre%44>H0?NPO8%6 zpb|ngt$fzITR9BxZlDW$P3Szj^WdF>6=Vqw$T&F?zli??J-JMU^3YO*zL-S@k zJ2{p*<16zIPpk6F$sgRk^-TC*Uq$iTmJsxRzQPAtk_G?u|7q`#u*v@Qg)N==;Ga*U zXXyxf`~CAJejAhaUl$A0etPlfUl%KU^FsdD#o@@5ul~8#&+k=QOErS9umOY9v^y7M z#;N`^VU2}939bHOzo1aR6*ZpUoj|`O=vxpz+t=5FwDejvc#y3r*Ui}+?epwktLF#h z^)PH@4Ft$Ytt;0??V*-*5(oFv05aOrIZ*~j@=l?ufZ*ik~ zvn7$wRq*1cHFwy@kKR&@mA4M3T$wEEj(>*f)6vltnhs?6^&B2Te;+!pmkxh*JGSLL z+iJ=vPxAAtYk+Ubw10d&@abj^=KJ^WkH+iI)uj`7uoDszoX_`%w-Ywq5Cx9Dp;>R% z9_sz=PrM{eAlTLf~vy;5VC5cl?u`!<3Yi@ZaZiflMiBX}5xdgGY*u z(SCL(+=EnHoU95ZuI80bHJ$P`xEk}!PpP!#s9E_RSbTE|91anP2Q&(62 zu}*QRgGJeUd-iGR>E34+ou61LHmX*)PF4#-c`izawVEO*q{3pqKj{}1-u`o< z4>>rn4=3!+(ByhtT%2OA+D04q`bgtEUrKkw2Iu;h*djdC7@nS;D3Iwa#eVjzM z9SOJdRqfWjm4QODVaBub>EC>Hy9t{nvhQlP8t=7z|K2!JY1h}+_ckO1m0q>z76Svr zNTuBuiOqMH7Dvqqblo3U%Nc>GX6pucq;Et72HaliflLYw+9Tv!jSUQRzP-EsXx!s` z77f}U!!>!!w+X!?0~1~Tfn|lbuy7SP#@Sf2{BIn?8aE*(78bDj^YMD!@iGf%U?W?~ z(0ygW9yVrXPi3t)wI}+sb`^S$Tk9MN# zg9@PMt0OgU*lM&kGg~K|=Yv(M9T{Zfx!>mI(yvX`5<(B1pt$o$$3+JtGh}+}S7n}>fqZl;<1TMBix$S-i z>8?{3Dz%~VePFL$3i<3niK0EG9RLA`9I_Hc@De{*GJMWw>}(UkK%N)7Nf6~{m0=6fZ{ z$dFqY>izsoJ`8-3n_u~oM6wUO6xrpe1J}zp;c>ct^h>!u;QMz;?gUx4qgmgh&EFSR z8m{Z5a6|Og`chho4ZYY+vH?cZv_h0HpTuE?lOdNB@*8LlESAG844nVEI{6%AiM3g;+~L`LtyIUR8)w#n)c{m3nacc z7(fxk9zM9+T#f$kz^Bwg@c$DCFa7ZK{r+DuSUlM2=G>zPcOj6oi)Zob5hL-kh&_e= z&K_N`T{HefeY@?m*ubS>H{RA38y;e7ZlZ0=JEPJMAIv!Q-l{35K+{@X_-2+sP=JhR&d+eC3*OT!wx^*`sIaN_n9 zRD$QU+L_ZAaNVP!keAbu5 z0K33HhNKrbPYGAtlp`r{2m}NKGq#m4)Yb3#HnHqDm5-w&_4pRJubXA&=eG!<@p;`u zM4d_YB@wi=WVEbaFXJv#Bdr(kY>9F#aXNfN#YSumA;vukk6RR!&}EF5^*xCccCND{ zu086=+V#BIMjGeeemuIoydoy1EKucoXV&_Lp*P6~neCvOmYL6_R&~%DdFy=CZC%ap zI;hAw6ra>*l%5M+KthPDnkqxICO7-cziqbXa=vyCRw=n${~AS1i;S=%hUuB;flhQ` zx#k!?%F`OLr_B{XI*VqHFrq)0K}&3Uo#XHI4Tm~C9rV&DXIXg$SzhiVMJs<-LG_A& zkdVbp6E<83iU}fM-YGoz99PhT*`kgxtD0w3<#&2mGYd1p= zD>PLUHG{JI`<9;f?0S#CGcqtto0}r+*xGL29Vsin{k8%3_r)1$sNQzGpqt_I!bj`V z>eB%z8;(*b9Pi0n&|dkF8#X0aWg2?S6yVH z{Oq-f$uoI*`DW;NxfLluZts8mVA|o|{n^z7;HdS+M5PJ`%WJSPmGa{-y`84vQD28R zwB-Ec!LX&kv}&gZtDK~bLww2YSdhE7Jo8-DwobX?QY@jGLUbgqvpQ{PGDj@il!u8y z=BY!&ej)(j`1!RZM(9om8&FBkm$zzh`)MM|!Lkg~S{U`Ms!P}i9GycQ{cP~ReIFKN zXRLIPlWIO7<#v&MNn}6#?WOaY_j{YCxGBSp--qur^OIOo*vMtFb8^msaI8}L8vAEY zQs_rI<+&c{1sh}rgzrzxx`J)n{Xw}ezpV8=**?8F^5W@92aU151?Jg>=UTm)JAYo; zy2ZDd&)SEp79&%cE;VDW>~U?b0cF8z+T=JEmoEEMa?b`cJi#w$I??&~L8}#x!M_x# zr0=ehN7A<6`-_a9La^3PZy1FOU^Abmi~g*T!)9_Pr@o%FHI!7$$cU1}c?JQ1`#S|S zJIEIYR=;t618DqyYDz2Z%NJkXmPK0x$jM1bUiV!}izo3BdLH~MZQGnObP{7cr(4@u zyPsGF&DwTNvF}2xh`IeKb~Bb;__USlf3ds9>tzIX<*U^knpHTeGcH zLR)L8-P2G#BqWd=Hzxd%FeyKma@eDBtki>JDmdl1`4&Qiipay`!py#)41I>xPc#-y zm;U6&)^QbzD}P>#QAS8jood0CJ(4cUlf)ELpxnJKZju3*PoBiE9N(uRzZ7>Ih)92f zh?1-k}h7r1N-@=nqvsaIe>Ag9)B&pO_O6qj3qPot7_G(Bvb1JUMa6)u_Y(Ug#D; z&3rqDLcXZUnVEOlj5-?t9%N=`_xkVw3(~MLSq=AO3yX^@9-3JX`g+3z43c=+q?5RD zNXn(0Vk4tR1Jy)6H*mq9Uw0j~GP`QZ$T61c}iv4T8n2cxcbL^GT z;3Ul&wEUOoE8H~4VL5l$LsU~fn$&h=p=|vxgut7qJEx7F%Kk*Fc{2v zIobEC)il4`*>>yEiX1cm9&O^L&nQ8t;k0*fnDrGndlW*#7Z9!Gg4Dyidta$Qi@3+g zY|ftNYj%~&(b302m^II0ak5&HTn@|*S?EA==)@%l=VK;G!2vkSox~K2|L&;B=F98P zZEydd?A}9vG#ZOk|7YccTAZvb*^WO8ALPFA*7Mlx3sy;K=`2WuVM!NzRQC4vpKEG} zrcb91MUAwGd7U2!9Jk9^A8qL_EG^BiYX9Z|DO-M~mYqpk=m#t+x4Ml_hIPLP)C!Z! zBskfY9IC$-RpBY7-}d3vemshwRk75<>gKk?3q08Kt&dLJK2~Jfst=Bv@=MQ8Lp^*z zFcD&{O4;n&MEhKrPP{(p-qvNCoW?x-fk`p#Fm0a)@0=i|^~)vXf$g!yOaB*Z8&T1+ z!YMzKgcOo+p`aZ14H-?ZOXd0j*Fg@VklkezA}A>J#s^1xdVRE_nDa%LblUgAD;6g3 zZ#!>_uVx--^YRmty1B_xqtd#6nI3V!-(zX!Hx3tAc!-^GhVE47b|!r{7efZ^_hsjb zaI(pIkyaVt+M9)VF=(Heq&&O=4h~c(X-iLs`vU9ZdC<5$&kAEc#U}-aBzoA}@26H9 zKR~5=p|t#b6sxDr>^|zr_RmwQ-m$6o?AZxW_Hu~c)|7E~9n6zn#n6xePwG1pG1oi1(zHF(Dd!lc9 zs<;*CbF8o@=3bEOw^XdPfw=XUk!IMVkK1I+sj41IoxdcwrzYOIZp9PmB*62&JMnEe zl#MNemUf{kSOW3JGqKPM=L-2xFZ!spkg(}kS4FeFyp$jA4FGYr{o-_N5!d zi$KS|u3Yl17BA`8a3N}x9XgVh4~wO?`W&WBs3Ke$e34$a1; z16T$}=8-=>ejHJGw%iKKWhSEwA%z4RM-kz0ME=aFW+@ zk*RE$PeUc(G6RHvi-??5HuTH?itgXe3brSm`S=k7e!GgHU4ks4k|Hi0NpVrtNPoxP z^#yGjj@ln}7mx{CUg?J-U9SB;PL8>yqA9` zKvcSd6cUObadf(hVvc~g9)12wtj$|gDf{K7;Y(f?cbTi_krg4DDz^BHWrVF4*I42z zDdDQSDEgE%ikgly@v*3ag}(<2=lo*M3qc$j9$|}^hde;G4)Q1? z!9VE&kYpQs&~pVc9YKorL5`A;v7DZHM_ug0U)RS-c9Z#zgnuLc=A9R3KR8PCCVvV& z;$nqtIUMMMUo*{2f?sxA9|$!%{KH;gM~jDuUx6Ro{uEp)vvqot<@NQt(J3%m9@6wN zCr6|asE>&mdN-9i93&T}^KqhFuQkQ15$`bt0p+WRSFYtd!P2WX*HRJwhW9>AxG7~1 zso}qPN?h45Lfb4r36qy__(HDNboYo%>&-9o^4{&B=MkE~1nvGnf2<<=Zm?HH2bOHf zdj_P+3ZL$Uj;B{Fbgz=gcK^dE`}<)PyaKBkMJhilDy;HR0)}StqpSTITq_Y1Q z4#ZA^8afpIlEl5<2H7)ytt>AV@ghvhSLWY0(R73?BIj5L&EjSb5eBs=0Qe>;ONN_hXHx(Pj3SDCXkp;M6K$-kQ zc#D%^6x{Mm-~IC0Eg%{^mI6FByH?$NG``|c5?eW3KAYCA^4EUwp*Nzrkc|M(iO=P{kG zAgl!(0N6b&v$Ftz8sJ3HqpSRJiVG%(-#MWriMkhua{Z%@3h7i@S)%NTqa*$K$CY`_ zKndzbTR-K(3Vi~)fJJ^T;?}Ofi!`yxl(8ZqKAxTk47=X3ut~6THhQpe0Ew|kE}A|m z@Gy`s18<9HNRsvUvD_mL$bQ6$T;|X4g{CYdQ)p$itmz$YQx5tffoE{obQC-$S0Iu^ zJtX_bqo}YJkGR(q@&}y*oi-2-5Nen3s=fP%)7u8488zn5#x=u^+p* ze-du?l6(h@5C-=!6nZ4(_kbcAvXy*;B?A`^poYALp3(5XRtm zGo=~n#10+8U&BtVbN(AifQdkSA}RN~_-kB`*g>dx1Pj7=!z6fpfCQ8TQYB>RM;XK{ zlx6}Nz^VYvLijokD|A$4{1)_~r_9q3TBC&Y+Ph7~16t+x=ok_ct|d!mm{QpMea@}p z_V#*JwkV2z(LtkEKo>_@2^}NSP0unA%?gf9eoUw5+F8$L2><&CoAv!ce2W@WlTuT} zWK?h)2*HaiMFV=9U#ot6hnkFcHQvM(9plQ|ggevQKnGMini1D)vPJK;7_7hLcxBGW z)q%ZlC$4IIy&Xvnu%h)-S(S{afG9-{VWW9u>^M4_P7zB-p0VnaR2LF*rK%C{Y0{aU zCs!9q@=$nJZdGVzBOyZomEhI6_sV{6ua(1xlAv5VoM-fXBVBVSD4oLQIVTh!tlh}qa)MGq*>m>au z^svg8taPTeE3_9E7WA02T+OT{c|@yhSFD!FmfLyMKwXg);vfd9T+2ISd8i23BeyOqcm%CqQ5SkAS1`j}>=V@UAonf!5WV){}~ z$Er`m;y7x$q7#%e#3_&)CB}2|G_}IFY}Bh~qqLC(zxVrWQZ3t5hkZjcm$+`zUfqK%FHMm&;wkP&lYr#HJAVB1@;Y*G%M*89 z_cmsCPjDZp+w|(Sd)%a?Y}MGxSnFdxwam+%SP)RYwq(l6H>RByox+d5Rsdk*us5ABuf1AO?25m6S}dd6pk#%9z2J zFU>(Pey(;v`lDz#QC?ls<_-SU`YCR-RPO1cJeY5TS*U(#aryM3@L}F5+Urp>CN&K$ z(W^E1d)nkLo8%z~jupxV?{m*jLI`A5FW&cSxso_7?>s3OH(ZWjGJT_Z6s@ABr8M08 zx^4A3u*dk@FzPqcGREYpfCp3v!rtwz31pTHYn4>gT*pX^w^7`;oVf-j@? z6pcWUoC1T9=_)3r2!E#NR%GF063r{(Vw;a>4{~^&>#Ode8dmcAbA-yKK-;3>)rvpd z#akk){;C(x4M3fqywW%{tm7I!0rb=@;;2{3ZBsNKrHx~hevVlAueBh|YZ!1T1z=J= z&3{qIZTkD$n?=kQoG{FCCZy=-E6K@|>BI-Fwb9zl!C@iN{0{5Y8B5*@vO^Cii5lBk z9VyhW*dJ2go+tf{S3c!J2bpOLCqHVJ^LPiyh(}ypxbT8EC_~qAm$Se5do1#2)}3G% z21G5De&Tc;k6+!nb7!k|(;W?$Q3LNdu4kzU)JQpADJ#zdLb>tnO~kEUAvE~C$|oJw ziPYmJ(*8;T>nRZ%SS^024I^29BP-I!Rub3ys;a7wpr_}X&`?kltL+D4?Q1-^8K22 zadiz(OeERiite}#SzcWwbf}?jU7~ANP?$@UlT_)iEZuo>0O(Ma%ao8<<`bKK&0-Yx z*zDOD{(ol;TR$N|6kZ+^vtw*pw7(zbftNfGwU$P{3dV@XP_ z)xBb86wT{z`M$)3z6GcHM&QiZWy;GUf7T)m@Gyy7)XCd4{C}^&*iMy3w$&_wcTZ!r zg7TG?+qOvjQzu3PG#$uMH1rskcmK!BPuwCqb+8d0t0h_$HbW4`;oeZw+nzK=V@Y0u8dWv%_rK|9HZ2++z9HuSPWJkr2Ec z0p2>2_~s{mu2wBiVpqm3`9Fz^bI|ZQDAQP)6I}WlET4Z=PE*BY9jc{80xy*lfzoV8 zG*fGV$37kJR>Mt|I=449aiU0|5kp7Op>U1`pallyutc~qh&QspQvl$MSK1iosuqWa zKu*`P5sRE%DkHDikZkGvdz!lBA#G z74-o?#K7ulNQw)~kp2@2kp(ccNYG$VzM>Y^mvU{}DHZ?k^a(l)Z$1qR36mBp1wc*8 zYlmVfBgdN}it}dO%ZT5ABn}!0H@)d^Hhjmmc!|Gwig5LO7S@hk}ljDVj z>6$i`gb=r(srNo|Zq$kKIV-i-ad|XB{46)G7!9C&>bN<7`5f`CsgpJvrS_tnFS;vd zS<>$)Xuy3vP0CLDSLUtv7T(OxDTB=az-VeJ?@a&U@v;hGh8$4`;r%N$7!|ZeIIfAm zufgINl)r=?oa9d;_LFc2aciRN4ov@I?;8z$f&d3#A36Z3gWzXWU0=OHY=3Y+=!_wD zP8rT8%xk?_;=XX(dWkc7edZm3C4(=ga(oM4%OlYSwwSsw_8rA6+Zfa}L7(_?=F^hh zrk6~D2p5lhYsY$6HK%-;E5Ixd=!- zmf%jk*R^C+iDy^z>4{?W91@(cpi=$Z|hEQbLvT{JX z!y)S2qEkrdNp&9!Re$S>{b!JmO?5pC1cZuD$(^J0^@c`FW_ad}(&@;QAb>J{nD9a~ zy=bK?6;!lgd(zeD#F*jd?0}L@F5(u*mPJ!;_-lj|Xe|hHat62k4M0T*kTe9;RwXl&gYJ1HyIQ7QM0mg$DUpCJwa0tD1B5G@I(`?`Z0PxHT4`b_{Ku~ zKLkCQn8-M38XFq*1+4{>_^T>;o`2ggQ;zhB8VH1y!sui9@QXW;tzqereKr?2?jWAW zYNZ0fs~?suTk0G4Ktr@?gOYqYRM8b|kr};#II}-|HjH zl((nOI35LHpYizfg}c4@yvG4MuRoe7J9!0`>61kV$)_4m%RH>Qb(N=#-kXOE=?~>I zk`1c`ZaL#9^Ps~Jxn_#-`x>@M$Zp%wqx~5>}gw&V<*O}WkUofwR(|UD)sIveMxEM_AC|27E6i7AAS*Vxz96@ za1z(%JDDZN^L^8^$ueS&_+%SjIc(!jK)<*njr-io?}dzR^ipow=?JL`$dA+ zchq}t16hs85wjhhQ<$(`Wbf*svdt@fZBY&J1cx%`ukJA#_KLX!vn)Moc%9V&Dr{=i zvPJst*~qWwf8)^9(>yyO>sk$s;@qR7B2+fTl z-LH(oFp%t&4*ToS<=2=|b!2Q=m}pu`S7&ItdT4C(C@NJ=+r;JM`SOjHY(P*Ob4h>c zOdmQP5k6_{9Uv2<$Sf6-ctR#u<90XH!;BwZ9r!rQrRU%~(fO9n2uo)*5offu-9cK| z*q^@oCx%c@@rQ?O^F)827+wmVm@7VRZ|Xnp*Ibi^7p-JFJQkS{vdS3ecVqKYIOnDn zPfi7SumNaQAklJ9XHe#8hwUhB+sSb@dPx$AxHd&28^PXz6(p4&exAjg7T@_&H|l$W zL;3*nJ;V8hW8p=a6dPjWG0*8&2f2Guoea&OCxpX6dag1-Ef>?^uN%e^2)c>a%+kAVolX{2s~(~XN++FkNjh;K zWyuO_K)3=Vbvb|()Bs)0HDu$frem|Y9BNEBEVDDle0smnK^lC*RlBKd@YC}{-tYj+ zEIs;Fj9q1Aea1wvi!7S~Ihj|JwD|@Iy1RV7Ka8rIzY6QW0SG~wHDZw^8AD&Gt1Ub4 z6HP2T4r=T2jlI`AO!sG;#tE=P`%XMWj8T_06>nNc-Muck}3Cz8Vw>X-685^yxz} z0EA>QDh*_W5T>;WSV1Rq*XJw)fPs=lURC(p*|p+)PPgY@9y3+`hZa z?o4>@{5K;=?JoYq?!%J-P%|pgl|R9Yv^)Z-as(e`6xhf8Dz2wOrIU|Zmny!x9MgAF z69qndsB?5$IyPi_C1tFq3Z5Q9BTD=5$d(hxaeEm+C0p>^no<15Rtmkf98gsOR`5?& z5-G0{Bj^Y>L%cUlp-~^+DvupVeJ^>MfI8|}prUfi$>^l5>#JKV?wdEGpk+knO})}M zPnU@Y)Kh@*>Z!;<_j@~93T!nhE_T|Tb2e^`r38WVo#h=}0Z<-W>y2LdNc6zUvr#O$ znz-j_gqXB8dLM&whp^dF)=__3rA`+_35QL>lbn<71JG=SJ#RpGrHz9?8$+?`BPda( zS)sJ3q-KG%`4kwwtE7ASfVl?ngvxv^u&o{|8eA7d9HZBEXu<-x#R;? zLFo=&m`nAb2TUU9{(1oLKPdD5HKdegD%^Tja97xD5i41b-R1^yb5)n`*ZLK6!InC| zwGcohc4y`#=N9RS1_DS#U+qF$w)yn!#?-g)`d0l_c5+aXFweA5;57pN4P<8eKdwwP zWdUGV>jh^*&?OZ1^RCWGbD>Z3ckmI=1VQsS5!({(5LMZxdoA`VVZ8EtfI(wPE%&kI zAtrZaFLOGC*ZuOjhGyd2xfLtbYkW7{AuD7x#ocZsE5kjP9hd@?aN2B*ebxVV*h zG(zeKO`*Zx0bO>$t9NA96YhKXMF8{XOfxj2?juF5ywznLF~<#;wW}30LYOI31VLrF1E9l!cqNxE- zGV4U$BMLOuXcX?#a6Kg+*5*XNJ;g%4%^r>y2C&7AUlvMI8)ug4sT+qv!l^*)LZVhE z6cL}pL4@MmskbX0U}0WX=Dn!oBCuYec=L$MAzivQs*IZDwK_dpnNsB6G{?rF`};4w zZk&gI_3m9^b%ja70wIZOMBt-Rr~Oo;rS0(FQIsp$Fi+tK8c$o+G|)q%`JChB2kXE$ zWGvmzT%ILtE@srVT%8B`9`=W*v?K#VEN(BOflba`>{oBKwVWSy(fMwJpB2z^M)1#~ zgHhI^=7AI^scVP#E*g>G_!kfxTNOg%ps-PqL~#X29xzl_;B9Msd#5j_7Qxd0SQCP- z{|q$zSf{7oEx#ES`o+}0*ap4|P$h$J-|ztCW!0OUyaN?>SJoX{))WuE)G`>Wiy4Rf zpTY-MtjR!2C55L2b>GCN2kt7?;|1tjfcDWm%)DUK~0+h?=Zk2AtSLnATE&3cs*qZ^&<6Qvcm?7p{{ znX$`9=nKMrrZH5frAY!-NL=rE2U^^R&!a`Fz+%nNWpfRT)5sVYDD2avL+<57_cR7I z7UB`@t$zQ3c%y;%UO*TCi1B~glUG7N@v_(^$ySp75)T^Fx&r8JmYw+mbQr@fpm5~2 z8wDn@LdAqI@96h47r5~jvG#*D0k1hO+jd`@$`}<@&7kioHmM{pLA%jD$C#5lQc@Zn z!PDxM?}73x9C9z$0{30~gPK4cHOpc#ec!ih#eOF04`=fHb|K?u0E|alr|tAdGvjQJ z*_n2Bie`5mZa$bUX3>y!&w)Mc4<-wC>e3gbGydkT@(OH4)NYScZ1VCG5kM9B zE~3E2eUSP-Q|@`zR&N%JdAqgJNP3@4gz|0jmkkMPUWPLcWzbv1&l#Jb@E`fe%;74% zp7e(WP#Ve*F5fvhkzw;nWCB${Pz^8YxY%PvnE>wBxSYf5tio@DhDJF_ShDvB0C*eU z!c+Tzix*BB%eXvOeJIrO{`uLx>QE&!GNU*_2JD9?E{wCn^Wstk@$dYPRomL75s8{? z(oc-En~&7f7(nus-o|3s=Ki&xX7D|CMT_XHLZ(bJyl5lb1M6eJpCM3~i-S4#md8`Xn_?-P|T(@X0Hhtche~Frp-vT^v zswpYJsYd#uDK2KOy55grf?SH}YX=}_-j0h!!yb1`DJ3+E>T1p)7V|FJPz!(|4iw3K z8D*opf{Pd;@cPR-H^KIFil!ohTOmqRqH`Eg?Y;&XdN8@e!Je2jNS~(nemo5i9N0&@ zPs886toT&eKLnKSB|9XMO)GVrQLxZK9}U??Rz>+mkluQPvg5_=rS3yoekXNfQs5De zMq`hibqp!$Y^0u$sHpmj4Rw<4>l4a^Gcn{ybWRmS{9Oz+dfQ;>$6OVYPDcgc1QTL# z_U#bxrW`vSlG&tT-wQO1l*On#ila^^X!`cFUzjX!>=79Y+yQ<-P{yc7$r`e6`* zRwSBmiqKg)8bC3`qx!x!;?dZWDTUXd%zi|x9vsjyQGM{sC+Tz5AFhsl9D7c?E}2Dw zdgU91OUequ_azlxCR7+pnEn`t#>hVvrU}{Gm>m%8Nv1l0^ODsCBEydtbaJt!ABP}e z6GpPm%$}0duFGdF{fuX$BnISjiNpTfvDzXmx=-gUPpcE$mmKA%rJ7;iWp)Nt9uFb0y5&kb1dn*!m9^Tvpda$%^`otla51&8?a%cWcR^0}(|1#TNA#d>k)} z*apI4=kCTZTQqMl3b*@#RylH8Ohg|j-U*^lO80@UIu8^%O4Hqcql!|koSWQmdt~>A z%=*jF@4(;geVnz5xi2`LVti)igQ>XQxW{THI%D*^UHugsC3_e&%MIS!n0tS z5q7XX-UlYR|1Tq3&Rl%SD>RIhR6`uHWLy&ygbyR}2 z;8Mz`vlRgLtv!33xM2OvhK{jMxaF$9!^{w%83;fL+u`-WHt93j0Z7zIzr0%+>bjz$ zDxTBp3$+trAByk`!199zc>rb3H zx_bfMB;;y3og3bhBFL$ud7MFa!(|h>s92PjK#UKswVnXsObM5Wt74-+P!NM)_6BG_ z?s~*+ILDA@!6#Ut`lsncOsl*!4-uqp!8{v+(+{Se*b^Xzc=&)k3p2nN1osvNW^qjevlFtr7iDT`(9g zE_0p|10TDZ4;2WpTk3wq#Kc6>RmPC_+-BwH*~EcpiPQeQ`VfGQQS6vRwX`_h>MTKr zd$36zZTKhzAW@yMW};3SLZ&mkQv6%~UmZRu$Rwx?`}iyFh(0!TUP4JPlY?`Q;paAB zvmYujbZ_XVReZx!Ms_*z`CP<?~S@T!1_MBsOtvFWgR%6Lu5W^6BuVf}6C{=I6O) z)fKh1KP~L36#=4TdAIz<%-b@_4u#W#tpyEX0oWDi2je!oU0nKL^4y1O0Zaz7c>F${ zh9BMPa6v1WjJH17GyU-4gBOwV3ud>brw+e9Y`lFtzk4bvDLEn4*4zotsmt>aEOb>@ zpJJDNyWvS^B>U{(ll@t%-R8aep@cxG@TjO856hO0z)Vy!!}mn@RCMJJa-IV#4_u@{ zjOOQeAYsc8okC=1q7uq;Ga;-P}-N4AHW1NzvC!L-z4T z?%UeDzvnKL9U6>fg&w@F0X;SVb6h4KL=f|dKCdTiExwOQ$TaU!OcCL3)XWC1Vug-` zJ?4!PI@!KR;7zF<45n#Rz#&XQ;HZJ>YA0O;<cn@u3Kq zPD6lP>}&tVMnolQDDL48yzEl(wd9~cxtkKRj(yb`61i2}bAACKfl3^U&2D!g%Ja~O zIZEin3YotBiF*SQ?;!xp4@?e+M@IUGgpkyn_N{#CtaxBS1u1cJA&J~&^(Kw{dADI{ zHR}8jWIb3=H)T-snm@Zedys|1UvK2@6G~+Da_ugp!FZj|dGkGHQI3-^{`QmLp@kZ0 z>2AV0e@CbNSPzd#O?v*O_Mrb9BO8UiND2BgMi#VM5AVqF0zEj(wL?mHHwm9Vw){-V zJC(vEn@T}>%MBeDqY~#ENTxnlS99qFQ4JM7VkOy}ZYS?A#UbW0%}!QOQu2YGwL+V3 zqVakP{66l1zZt;exI=qxN#OSr9C{Vc0=Gpv_{#;nk~YDVCH%c3mNna=X=(SF2JCne zKJmNrsHv;7=r-OeDJ%2g6+PM9o^LfXb@6LhIvh!U1nvCg+AQT>Eay zX+4xcQJe(h zeN@&$f`GSaG|V>n7V3Pv5k$y^8pmnT*xTFN)}VX1G5Lwpg5Vw{#nZUhA}xHrS05V1+6JiFkvCcg;X4z=_qhRTvD!i4|H{-2>gdIXINss+#w8Dw zv}gXY)}eLHonEI9yOy+$7C#IIPGR9xk=g?R@b(irrQ8M|6v8d=RtFsTdlSkn6MFSK zzJIsgAN$+4_iS>4&j~J$z(CbGcHalZFmn78Y!k z^d3aeS>Hi+o=9G5Sas9|ze3>j(QJ6|>2{nl>OA;q^ZP`Te3R|dB~^|FI0wL(hvq?< zrI78!5+bd?C4`wYv%V1m0UisDhzkV3W=4G-8cM9XU+`h(eGcDVimyU`@f3FV44vq+ zXo*ACxf=y(QGHM5K}GMGlF!cB_Ka81kX?L2j1N^gkx~#kg@QTgIT|Pxq!@`|Gu{Ft zhX@6AC$zs-S6M)BmD}m~G>%Jd(`*CuVhMU_MHd^J7pUM>IiL7kITKwso=C@YYdEjA zQzbRadF)`)Yu6Eh7u`6|yhQ}B-PtjTOJGm?TrsB5F8ddbQA<@ESxX6v+~ox9 z6fyRsmvFHCbOsL99xD;u^lg0@Kp8wpgxNpWgD4;Zqj*DI?QGu&=DOk4@gNuJ>waol zN<}#JZaB;WXkapfQy0_KyqVSjjX<67IcbF;lhMI}7c*T8*;pyJmhRrVF_z7V0Pid- zvlxf>0qSi|)q=K55eEkj%lh+!aEfImPWA;cFeuBf?WC~gOVvdkMjnloX>|ZUQis|M zu2yftpEBPvxCj(OySkt3OEXZTcEYex5(`=y5xh?cfo?6E0I7R~d)npnIiV)cqGpM*7>FKoN_chJZH# zh`*|7ZEz`bDMv0<2^#XRlpH1leH8Co-KxfDU}bp24<(5JJ_05-cQ9@x22`kj0A_Ul z(v3RLI&<{ReZb`1z1>>6L2g=7)?=2Fd0rtk`JqVt#U0Ifhp0|`EKE3g4zQph#EpYMIzNNp6UEBN9Cw| zSE>tN9yLF=C6FBG_;~Mg*U5;0=RIYy&+r@nlA_fA#nxMgRrPi2-`Fjk3P?8!NC*Og zn@;IQX{5VB5u`h$ky2^t4r!#MrBmsWPT#TA=Q-~=*Y6MY!f))o)|zXMF~_*?&j1UA zDq-e_9Jy!y&88!E8oTVfIYeSs+?EToa*y{K1fGkrOfUhZy}0rK$sB$ z)5j8MQ7^{JtV^YbGEG3l^q;>P>bT)S56 zQ+9M#m~e4(v60vi*@j$>T)2+0Eyx)YDYF(!nxCy-Mwxko5@1;U5Y18Fr02A))>@uS8cvt4~<(^=o-yF z{hXJ>EIiVj^l7DBlt28-MoO)!8v{#)UZBy!mmI1@aWdU+=rb z{TeS^2Bm2z6cDr1qJfjm4?(_ZAAVKdJf8YJ`As;SD>Jk@+^A@-FX!#17fQJYZD`ol z3p|WS(B9ujx>drITEr$NQZl?^A2fg$wp@;)=nF|7ih3-^YVg-CbM=&fs3x85pjyRm zd_iE8J6HNMGoq|~MvlZMQIgh>t(1=kuEi`@*~%(L!TMF_u|u+zT9A|zIPhs!=L<{f zzd}B3OQ|ny!PR`(NA4$F2%qZ{i31?b-j|kgWC@44lY7snwFd_bU5aJXecWPDg&~{y zx^Ixjcf+mXJg7VEcYQR7@jh?@%)RbEEJ)8M;S zBymI7eRULFu|^>yl>hJ@C?2eGiNxZV@-U#C{SAoTEU(dUaQ~Wh=iL(^%qvQffTR2l3n7JE zBh@J3jhF3AnD9jr^M;jbG3M|?qSWLoxy_TbR&7iRb^k+*0lUTR;P{<6k?%*W;3;A#5QL%pHwD@|$>RrL?$ zdl*l|#r==4xf3^!PoJ^-rz(TgGdVXl1Vm%AcgiB?AV4Eo$tMp+ud=Vp%RZbUrn_E? z=q~AIW$E)_<9*_2g&lrEFUwIp@lP_{OrnF%TqqNHPYXLz$7ZV;)mDa#BQ+wUxA|em zSmk!42e~CVIV*ar)RE<#d#O$Erk*tExEzT7^Qooi+7$M)AcZ$X))|5$0eXOPowv^8 z*)`e8bxf%A_|5CMg`{kSa}7cpMg7m*#YjMfJc?s*nPBS;Q{hhRR~dQ^F&7~(fvXw=(t!NhyGYki?iL*s{<5?q50Wlm5L|un+rr%~7xY=ldir zaxsjm$qVDl;G302uaIU7<~p!AI?Y9;6L(iNAEygA4UOb52T ze}5wq+F+egVLp6lO=km-ES|l?J4d9${;pc-70~~SQ{Lq?ZZ&)58-ArVB+W0l=;U>q z`dgErOo9^L>gcVM|9;XEi-B30Fv_oWlZf8Ej+B^~xUH*;{V20tu)&ahKJX8`L53fC zceKeImA>D{NNMrkPeQ&U@iC;aH)6rtqdwAo6BQjLjMYJv>^w%mJlT;Nl=MSzC|w`c zPS0NXxMZZ(>g%ce!X!wCXwO-V?_4s!fQr=Ma=%H%-R*3z{$`e?An!`5T~!OHpEbDM z?oPV?zNj|lA{!d-cj=vs@XIW=c^2}zYwIk=Mk~ugZbkRAxI%Zv3d_!Jx|ii*YJxiD z_XqtS=$KUaGhSbjw9SXqod7s{6do>cjDz&QQSM?@jLIp8{b;h@W50>d(%+xi&zemZ z$8ou+q0lJJpklFkgz{&9;f~sT(P^1>9#rW5Fv_s5w@Qs#-ML3DZjd^cGp!;X=jfx9j>vx(m?-1-xF$EErR-p{M*0X4WRxEz2O*n4lSENeefb^Ij+!_ zt{W5XT6|&f$cuR-uz2W8`v{`%ZDMY(8~DtDC;Q*NVIUSO1lAby$mRoG5XDNw*!?0X zit)P{+=r7ZqXJ$~|AauOdL@0O%*XLUId(vcVZkrC?ZAt?$Fa+16rhFGP^k!IqfVU= ziEc8|bj~f#IR;I648I9ERDa}0fmDcd|1RfJ#iD*v zdUc%(lScI!@8*Rj1g>gTX6YwOf9%IBO!y8b)*#3fqOItA3-L3DZVP^%<{&XQZ;aOL z$}&5SSEskMYd%O%o*?aVqA}YsZ6zy9;OFI~y3B-h5-tbFH~rf?$BYEkHS|AZ=E=t7Oo*;RpDma+EtfqC;BxtX#O>|2t`^su@C>;=>(6jXs%Z4j5OF?OqtwCd|w zj@>?s8)zq|x;%;661#kPtoe2GsM?G=`c zrMuKkGuMQ&*xRxF284SFsVdBs`z+q+H965(IhW1(?%P|!PM}A+%85b696UviO=vg) z3W|99yFpI5bYUhR^k5PE5l+6vHWmu>HJmbfqS(HAWHmH z;P;|s<=w>zbmV2qzvEYY(m#inTtRkP-q9OA|BQk=ttmc&%vOV(?N@aKLB&SM@S6D7 z5k2^L6pHfg9H-OExtvG(bBen31_NQI3BsUhDM5DC845>z)Ig>f@A?HYsQ@CJCAj+L{!Zr+z8$AQI^K)#ZQ&~#C7-Pdn$(B`Z_hbq>rMI&-JHNh;%nCp?)_o zno&Bw-+f0stYNw&Wg)S6#{MpR)+loDX%C*`w1W#(kuk@vK}b-g6KXH5{PTRDk&hbm z<}PihX*9IILE#9>3;y_Wg%oAKXNgIj`FR#-lDc~O`ayU52M6_^Z?}C#UHDDDi&H$H zzgT{+)FETh%K5rk{MOws0|rT*baSQRueKI|!0X#~6{*7nwQR++=sc?E@-_L8foE8p z9Z~G+jv6h|Gbj5Q85EKwg^G0aGWio~Aj&{#f#QuP_%EMBcY(s=#>MjpgmrbK2+jnm z0jqq;kC;!UlO8p^_F%Fj3``m%mzxqYyDvwPM4+9r^Q8N*9sCBE_hTOBs4BhAXY|d(dw@wrE%Idf2TfQC z8NZxd0?0a9xE4bkY_L41NUy3|tMPROR9BlyEqwpm?EC-eunh-7QvS-GGP^?|C32PG zPlul0vkjq_O*X!wQg#hpJq<}(u+ba3Lkdq7ngXNF# z0;`8+tZ*3yGaoL;W!8vpY8AaG6}?DNOdUcc4|I^5*Z4J&Hd`mm7BZW{>&THk z(&~gmEj`A!b&UuY+fTXrp3<-+<)lqdxLo5{15pYp-5YvA(8U4(Cjr0v;{@p+lDBR! z%W-9po>smc^5u{I$ASQ{p#RA@%VPDnkky=r(1DkQ-3A=~n>#DJi?`#V(9l!~wOw;c z>^ag&pDkIrEcY0lSq1;}aqO94b2L!rg`So0*-xt~%hm=RXcr4Ap*^Fue}$~A>wnI1 z?*ivID-OKWBV-|uIq66Nc0EI#V^-Qeb3tNto^RpJa_vpFX!?G zau@Qit!W_s_rHyQ_FP`%)lVmGm4c`u&D@P#ndxZCU2LbrM1v8Jh;Zha62skMnsQC+ zE%cf#tdjI+j>iy=L_c*k?m9D@0A*N z?InFXDF^D>jVPhHn-(&Kb4juP2aGx->sNy!-~?XE)_;oa^J>}6gn{=4!!Eri+Qu~N z`RBFEstOQ=!m4jMF8-@eE7QW**(~I@@s_w-8Qf7nXHR*Yn$q81N7K{OoBj}Q-hfzT z^YWMxKrm7vK&ac2NskF7-Z3{L{|GSVs3{&Y`DRv|b3GpR2U|vzS0HyDM;+M(sPJk8oa*@B z6B#}bgoswU%Kf&C|KK6z&j_ggR^h*UE)PekXmcx?VEIME?2KP$92Pu@EM;sRYm%^f=0>G*x<=(ZmwePiVJX#*7b|*)} zb;5ul)N)>;q8Jl<)>m20IywxeUN4R)Qb{z-vQ_^}72R*!=H}h!cb&K0+<>&X2#Prx zZQk?u9z{o4TgV}A=N;tjT%~dye^fm<(CaI32#rlySLRG%F-FuVbIt!wK)Tk9HNtdrGb%UL1++Z( z3}NHB{ox}70xnw`1%w=plvZ|!wOhZuxe}I`8038eU#BaM9cfMlnoOm?ooQSg0mrsJ(-!e4izlAv_49M2Aq`AY zCAYpk5N(DSq3Qm78?7B_j9t6Ex&4wL6;?x5G&ix>)j)-u>J$Q*TI-AFx|lHVucEnK zz+)<03nlG%hx4;x&OQ^b1U+~#hWJWy^%z^;&oS5vz3R z7_y)0vj6v{K|uI@b}A|+Ch+VTCX_cefigV{c>5qnq(=hXAzc*;I_`q631y{(@;90! z;V4ty#&bD{W@qira<`=Xi9<$ifldXLTDtU?XwBB%$-(@C^64fNqsay>i?xBDk@bfe zY|@_#`ZsD2klC{bf8GR|(QBzaHN9xVL2R}(`a9;CQCHh>#9SPbO(iq_GO_|kc^jdn zr0+GsmKyZNyDZH$&S8K>Z4Az!Pq|W94Z9PRo?7-Yz#r#4yU#o0mlp@+;HndwJS5ICmAc3N7Q@)CRtNK1Gd4F2mE# ztRkKHPOO>vK=D~vOv=?J!vDk=e)kBEP+v9*D88~hhZgCwy6fc-DQ+BZH24Y%`JM6W@*}1AXkNTS|x}|f#6kl zJh9PfdL_2Av$KNOzZd=Hr3Vji+$^3l8{IDi9E+^2OH{4R;!S3T?p9t2adx}w#ag7s z8DY^;WCla3EY{vpme$nq$8p$HX^z8zfZnTz^5Tdl>y96JP3xx!92QASN;Ot09yX>~ zN=>>Cg^;&R^7Ii|*GyU^E1gI#`@Lyzwg=1mX20Q{&epgfoL)6V`yAvpDQ%98j6Q~uaw}%BTcWP_%=g1iMx`NrA1~kH%ixx#mX;I zU>Y}iiHEb$+mIM@_{4(J4u*@^ZZN#ODl-4d?UaTuCAUD!{o|u$YEgC5E~tQl-*L7E zU3ywWBwy#_lOCEj|qX3+(OmFoHZ^ z$gv>~f7+z*6dB52B#p{hj^oTbAXaUmsD8v8sk!>)Z!6fnIG)bePyyEg#{$~$iX zi~6lY^nj66sBhlGYeV3sO{3}2MW78^~l!NAZHFubN?NGrMNlx?y1Wkcq(-49f9|Gx`*M)fpVbe{L}`FcfM?9CwcuUqwB z#St?%;_98%W!||xd&n6N{_n{9w4iH4jjtDS;-IO^0Dz?LpBH2<3cFG7N(=ws zilsfY^uBJ4)!|I%z(^~&yDG?)cpHdfwvt-%Qk&>GDjjS z+XYfEJ^estBSU3j{2>iRqA{LQ=Mo;X`a^Zo10*sU;(aRK|v{|$NqO|Q|E0X zNiAhRXv_4b7eJdgunwq zF2RUszmP5|Y~FidMs^ldrtl$B>cYk&O48;|`J#Oc)i(50H}{61gV=w4zB_71YniCH z2EW%Wq9P|2%df4bbH(0!9N*8Ec8hSLhrE!R?Fgk-Ct~2SftpOCe9Y1}IT!+^-e)y@ zL8ULB`7PVei3cu!lwembnN4R%oo@u%5ikmxw@Y;Vf=2WYE43Pd?$|yqXgb>K^$&*d z4OfAaBI##0ZT&v!R1or)(GxnCej+wA166NJAEpDVFX=}l>z%fmes^=(^dMHs4u9vC zbs_}^lZauyK-OcEPfb}d zu(e?%Vs`IHX--_?+=FVimeC)hx-_o}PHl77rjg5Rg2(3@?Mw#t$KU%yszzKRuUoab zeK~FktX1eAey{u}WWgpiV^{USLHKo^eeT&xESy<&?2Y;0xsmOtL8l3nzac<*gUIy+ z4J_vZBh4hMnfz%BOpCu(-tmV^HC?=47R`N^e9T6y$RA-8e4Rb8BD}v3&X44iS6r~uLwd_v~$rAbL4fHTPjmkaJIQB z?g_7d^L`#eQZTt=$2)X&<1Y6b*2~i(JGX9nn=-7SU;JDvZ0d8X=xFK7SQ6rX7Bb*n*Zx`%LgUC#vXosVWC)RxAxl%2qxtIV@jgUonKU(sqtpJd4 z7E1Z1Uizc3@Y$Pmfy}3E;I{^FU-GhhnlPRPn;WcfkKCEVbmxz*fLDMR)$9!>@`gE&d>r@S$MeShX+X5 zgt9VH_PHgpwYXi5y!RM(^*)B=g!-W@1RkMn{w$Yu7fZ@(Jzv1^oL)|r1p*?7fp3&~ zmrz33_U)wWmWq@_wR%JMn_?=>sMf(+_w#e%t|{9LmPl$y(^86{4$MJ{CH+YZYWQBk z0V1aD;GO}MrKNr|0ur=*4CbH%h9_BpF?J;drN)jGxm}Q@oX<7W;a?6H;P=}1yQMs} zD(|*B9a<8-<>g?IdRqOsZtl~|uzG!EnZ}-4yQpPx^a@XF=p_4xRBgYNOJ7{Q*If82 zQ}h?b`@&TQIraJO_~A7v(n6!@v=H?YmSt2Xef}->)#PG(as~>;ZN^I! zkg!N5$Gma7WysFI2L%^0P9C@PBtN3wwLJ2!EUpu=_;0#weF=-ipIgMEHoGN@livZF z6Bei~u3(@7O*-V}@1#k6IH&ku5ABiQ%p2%@`4O@8r8T*o?{@<0>9sd1_zx86iJaB| zumQD-ywcCn7m*9$p$M>%*I}(PNKNz$yivr~|JnAeIJ9o*aMI6Qo`fm$R&3t)w|(QW z#^tH5k6*6Ln{-b?&FA+i3^6fPq=kG#iHTl7NjNUg1U9UQJ^=xI3ig!lPQQB`aZKd8=rdf-ryn?0OU_8PnmWHday^Sg*3rg%7DK3hWk8N51u z0XF*BQoyZT4CqhqKvq)Up?n%Q=U)+l!fEHleAzzvvWIvj(te^mRc@TIvSehv-JYEO ze{w>cx#4_Q%99xISi`mRWkq2N)5td%Dz@RKzLS4Ucjd-{Rv-WNRYm4pwm)2Y9B?gV5^k)+7g!pGc_hZ z-C;}HBMy8xG`vkf&YDbIhb)5!8LH$K9+vdf5~e&Zmp51Ugu6maHrClpGlDRc7#T?( zg+RF}Zr^31e2(^4i^20Bx2W30Wtu_d2?iHb6S+&x=~M8JKG4w-$cJ-29H)avYne_A zXxy~Y_x#j;|Jr1~?(SaEY5VZ_hxwlxmb=31JyBv8p9`|fx+_f2v)FaD&AQBuCq6M>3B_0@qmRUG%Ad` zI-E|fRi2rRxXZml?lcrg(V^XHhY$0=&Hdosdx;&rgY#f8qF`#u7VpBFuN}46xiMM9 zh8&1@GtBMkpycXe<4j#b@$M+5)Ue5HIU}59G&!pPw>_JCfhKKz)7$VvTCPxG-4bKc zcWcK1>)FAwZp0K^7=pd@-KVFsSG`_ArbWx_P6aHaaT{G#K`Q)J?mzE^@9I+^rzIkjFkJJaJY0G5k@@2GQdm?NeN~45<4gZ# zry$1xZYpv+`%`n)6v4OGq!j>O_Pib)=tTwDN)5`cFthIhziVk@`iW^{gaGUl$Q~UV zo^x%8syq;}XMm{WZM8)%Lx6RWMgwO7*!6^&dTMN*i48EsHbk)Z4*m8Wh&6{uE|WYG z@UON^&L^F&OL`T>tn(>qD6mFUhm48o5}a`2#&q=U6G#3G_1q)lJ_EBt%y{@bh8f1% zPlk`r<=ltb9CJWA%$1VL8G9bBHqU+BdQd@v@=0JR5R6Bx%ovv);ga<7?u+Z`|GT7c zEL>2D&V!}l-Pv~>xre+O&^VEkzuSrHB9xFT!upy|PTKRj_ zfAh0R<@2<(o!E=KJk*`{Ffr^Oq5zX8AeHzyVbvCruJ;vY&RP=O(v$_$67@}vPy{VEI4Scnx( zbBaECDD+V}W>bD_OsV|(0$KwQP!*)I&!y|hKK!DzWVg?m*vy~fBBES_U$nD_E|f!t z1QOs?KR!A+*W7yLeB*J7|M+Ty*l`W>-!_PFl;k-O7|Z zT;X~ZE>;2I^qW-*DO4RNcIk^dU$u+Md?|}od=Hs;z2!vcNA3LKlek_CAfEUsJQb8c zn}mXLBD#!;vlInWPTb?=B1-EnKnNj31z_pK?R7`-a29l?nz%7lF~jHy-ASK#{B^nqBf&3G)qGV8FM0so+u2pVs@);%mK@_;;z-SO`Vv(oZpH$&seXYQd zvEd^+(IXlmP*VLi?9X#ss%rPT-ki`&%t?_fL;sfJ!F=m#pVjx_&DdpK`+>wKnscf% zd%|;wjIUd~5ok@R+n#6X!UtJ5!q8mrq2=U1qO4YoR%Q0eZ41k@NoSh&Tzk~#KbC+0 zy6PpW!hI`Ck;ifc)hY(PCDlsMI7g^qr8P`sB|3L+Ki^7d@RDZyZf0-+Vk_n|M#2K* zdHLa(%HL?9Qd?^?5-oT&&C-vgIj6m`p?(ntGNKYgmC2|`0zj+u~U#M zwc|iJ3j|CpaE|k(kDawd6N+dFK5~JN9Ab?3)2=%S(<#^k!))*AsDa$rjWT%NyU7QF z2E%Q625nX^c7Gv)B)m6o+|ib^vmj9r#$tvhaSUD)e%JS50Ig^gU|+pCTo}t|Y$`~j zxcWC!^rejsR3m;qSn4I?)zL1=nVMOOPjVx)MG}g`Dh2PkK4ABSm#ouZQe6gW>xaN~ zM#5cJ>uil2z4gHJ2+Hx91q0qyG+1{bj(ora@c-9}>xA>~&X~pN_EFr^^8J>=P!!U2 zWYx^1C~^FHo%d5r5RNs!n!T4sC~ssO&}Pyh z<#i__jQeHT8@)7~8{fFem_~a93WrW9Q=2gMy~JHyc-*%Fw5MT4vY@guzPN+yd2R$fifon)pb2s+t{#8IxP^Jj+bMC zG3*iAG%|$j3!ZndQ8_>SF#SF?$G~~)uV24A<9LrXU8I6}ZG78dE)vv?l z$&N%3L3KBDd1x@*;|7y)_2AH8z=BB#JxTVijVuImKz8Nr(2%S9nFuz|ZB2959p0j+ zrw7f2B^Pu+EYD7y?sD5+wfWg8@NyZyD}mF3gv8^-3VF65HrO)a5c;yHpD6q|*+{mc z_<^#rpgv>}NGSQEu+u#^r)=Anh`<7*cp`a3gpD?qTibgo=W4};y1)==bkJm|(kEan z9MyYnUvD&oW0K*iNqp-C*;Pv#8`j*VJ%NkaaRK7>?cm@&z`h5TWXn!Ar!4+ zI;FcKhQu{*dEbr7?Hbu?5Y#6Wo*(QHDRu|67@#}AzPz4f3t&vdHZkH+2U%KQzdZR_ z{1oYvMjAe_gi`<^D+AxeI!`jB8hf$Egl2hqfJ@EYCSReP@KxIw$V6Hso4*LN&*5b6$yGe$>S&u-l0)5YxU>_-06e*PCT4c;oB zpPzF->Q5%;<>j3xcxU2R>Ihcl=@0+0Dz}7VRM@z}NgZ(ubDg}iFZy{Lx_Xk`MSA+LWJLei+PJ)M=0%b64F?BHE3qE+9N;DZEcO zRQlX`qY);~0*OQ654;W}1d97^LSBpe2KWAqv{d7n-*o8yJNS{Bh)GG8`Xd`(oo4&1 z{nGgtB_?KjG5Jt(ZrBeZ^SC#A;O4Gn|J?@M<@ZNQ+_diRT-on@Mm**hST=8Tc=vnI zU~Ru12^du12)_?T*`O)Bp?u+oJR`{3wwQb_ATyq-+M$FSEY$F6MGTW810dWcHC3KhOkzfii) z9n6FOj-CWxtmETC@5l&60@96X1VR}=Ih*pej${vbQL|lEGao9vkqmu-q6;(Lu1}X$ zZgW!PqwX)YUV`|<;07z*>214gcfM4y52DzX2_ay*2>v|yNa zOJt?k0Wg!dWl}pNWD9LurJ?CElt43`h7M{>B`a#j1x(ba#|vKqH3)Im4ypA24rKl_ zOLK(ES0y+WX_9fLZY1~PBeElxq6zlr+9>cB1Tv7`Nj%N&$b=n&-+=@s( zxfp=Q)Q}d!$IaUKvcc;b%woUwNa>HydBvUASoru`DCwIwC)P3T(hKEOcT2+odU{y-SnvC0|$qCeHvRw zaaN*Nvn`@dIjPiiFzoe8HXg?MAO`e`A*($%RCkq~DhHcinpxb<( zmv{T=Q|*h|4jYp}#{C}(%E@DYLV=j>?6{>T;6M>-bFH}=pEc-Da!WotxdrruO6NuM z1^$`$HTy}se;K%#VLzPZ0i) zf9-Lh6~FuT*B9{T@3vzTQ)7JQhsKvur!o;SbzX8WsuoI}Q33qoZ@zAB-yig3DFUp$ z9y$ya3BwE|*w)wg>h9RB)FczbphB4Se55iR&|tY($A523gj%=Qp(A-198gfH7wq3Q zKD>(oItdNsPsm(^-{1@n77D<7vAaCT<*+{9R;Lfrw$d^4#t0ccKhm>JpM&_i!#j6j z5-2jRl*D;4g{w3UD>nMQHB`Wm359sZ5$7|3^ge2Ep73Gp+z2O;tYY~6>Qq3GBct8| zWL^&Iz6y^4DMHYihmD2`r9Dc(>WT_BW#=(^Hf>SiV%pk74!04`ogrvvUSr zxSVXWE%Kwpp$^&hpI2mw`5DaQ9UJwrfqT`P2CRJaVt$tl`*HHk6qyv?iC zrMx)_Km7H>>Lm*mcklB8+XSO~igDM{BVDh# zuNo(_94k6#5fF%-`2zO!38dCYgE>D17jlWd(9$M#dtv(ZiUQO5IMEFo=;S->ks(pFi&cF zS<46Fny6q*TO*QaFv(4o)K=WeUwx_MmearVZQ?#IvBfawog&>gih!ZNG{>t80|_yC z>F2ti!<~EgF7T;Y;!#YsqulK{Y5S}E7BD-b$pf1(S+uq?J(5ArmzJ)XJ>^%Ig**1t z$xlw)kXUvTyd)1;&n3R$iAJBf4!C-sWJS6*wq#X;Hu)#4KDRLESIU@Q81ZpBBx6+w9I7pg9(xCKDyN8tWO=M6pQOd ztWvc1O|Hvyi+}dMohf}K$z%J|2feS*6!^TlECDk>nImNne+|Av>a|y?o_dy1-kw@| z@-Vg#%5Bv0zO=@wskFRdicqsc`a&!-m~@{QiA1Bq@7Fo~z}Rb}l)CNe$~-%@I|>Cd zRbjON4U@^NPS169wP63Hw0-p9!bnx<_M0CahH{s|3-^25ha#($f$GVtnJB_CO-{|l zl8@4sbKeR$21`}NVBsHK_Su}zUS9a>FLsSr?C*TawB}T8de+*VN=+y%Kff`c-0@w& zz}bJ3vi3QYbQ{Kesz5`J6wy8TU5DR-I{6t7F_g=$mE^;;zs*DpOsb@E{0y4HaA+6e zM$o-t5zz0=C>QQmo97-)_0~SjUTW)-R(?#~ALV&$9!EBA6@l$81SbWcGG!JL^D;@q zQppK^y*aa%3w>pWdeYtPQkY38Z;2NhDQV@ED4C5$`xt2vll9h%_r1t8fy zo*@uP+Dd-HaFeF&?FGo72&d4n)dTCX6d=Q;FE4%*-=*{fvr)Kr!rYl~b-|8MZ@D{A;1)kH zDZ^j&{;$&jH&jC3y!}2sdn)7uqrIMu%dM$J8W~YPCGLV4;c;!sB~jzEyxO@ zUf8L@SGQc+u{!Xv+d$P|A(hN*i&($z$#e4tZUxKJfV9OSErUH3PSF$scD%bUKx#n7 z#*0hLdy34JhItpjDE>UFdpG#LlB>~HuhpR%^%quT&fk6Qaapz48JI7EjO66Cj%rE` zt$LRJMf>15V8^MLJhN8LQb3f4vd9zK_h*fZ2Y}=j&iT)1rct3=~t)a3Uzf z;j6i>eIQiPrua?bscdi&J$Mh6RoA{uR_$Bd8xg({7&wqPj$2S`eIyDYD|!3)iJSA2*lfHEgjZg0#$FzEZeI(Ghg4v+3=B z(DgmP*AED8WK(Ak#g_D=s`bDG9##NKvZI6~luuId8_|0nAXut)NM}!Hg4FXLiuMB9 z?cYD{j@sIP9#0;=a4s-=iM6Wu$<|}km{WJRXfs^2(A_6~d=8sdu>FEF0>KK~d)Nvq z7m6^&lB>c`d+Z79)%M+PoIOuq0}k%`TPGy8`{RKzwR~ZxIo8aifFApwx4Fmv(i81g0X>&gC}PSb2*7lk>_a;$m_0%0 z#7x1>Cw{3eBNpRhxBU%X<%6scLo$AN zhOLbB4u(isWZ~l}6vAc>kme`QdHCZv+<1+K3{&_ZL&TF6p#c2-0haFD;?XFV8Vu=0 zyQ1SB96_dPAmV4eajy_26#II%QE^8uu5o=blS$|3pNx-4S+RT9$#hrs$9aPOtuTfI zVmhmoCLrqOPd&VFi)roE1&DDltVP7`Gi4vkez_)$M~2C61O+xPl~}3D-}>3|0?i6W zxB6v8s8188nbc<*2XNLLM`6bLzQ#MoP(9bqL=Mdc0uLTxiOAZJhrM~9?{&Z&J-A%} zxfC2@l7OZzlt{0FvKb1?Pm_2qj690vva7rxEwXqRA`<=rEP33_JFPqHQPe7OCzM}n z-n99{GQ3Vfg}`l9eivGAl^F5d?lqNB_+!0(w^^z!R}=I|KcxsA6^@A{o_Kh={kOL~ zr>xn?B6rY_wzj7{U~=h3xy%iwr?{$`1N;wgH4Fe*4J#VEc>AIq!7OMb?2$vjOXt^tpB>AH}gh@@XGsZ9k9-n=Ic{io(0s zALS34)^9t`@C?6z!kftQC9&&EUOtjU9lQ~F!}-aIExsw(?R*xmi<)CXo`ZE}A84>p z8#3f)f8mWgeBQn0rK_>F)N3(N(Sv-Xem$g{R@&gklv)*p6%dt>05o_xPbxL);oGRh zgO671K?x%nm(p4mg;#wsI^pOM|5K{D@38;oot0)6$*`NNuJ9_sGz(vaPlMckoSANL z{#Lk=$iTGl@Ryr^x8>p*X#>N?U1eVB4%UI`bQ#Eh)--=^kX98|5r?IQ$<7*3nVfKn0(Qm2r*$Vk`OjLi~bN^^~*@oh+n`k3?P z-fMZZNNjp*1`|s0VNDq~l}FHdLR5#h?hLEG`0q6tR^NG|cSX*}6krf3x%`Kvm(8+ggx{X&7)U;$eo+~cn_&5xu zOIv9^&HlD+L>5OYJH~yl*LZ|S*-x>%EUAaLIpkr?e)&_wT0*Pelpy_YnhKVMi$k%I z9QR-O_@K=6F(iGTYk#IaI~_p=D}Y38qUJ*3m@K?Ln?U?Uq?ENI_z@8QJ*Vm(4oOQ` zr5Y@-98?aB6*@|%%+_UV?*AL-g-qn}*dAts=Zc{X*B6tSnR2CAx}MFQu#%=%4BIHdi71a!}pG=&SDc87tPFJ>E%XO9KWB zPKEte6Z+UJ59USOiez@(h$_wt-oP8d)*YCvP~x6anhFjRRCPl_kt(_ekKjnj26oqX z#2pSjCfgu3^4x@;ufA>v46cvqD=)?U6#^jV?S7h|pykRd`9oG2A5b;7zW3)3Q^49U z4A_;bFYb#WC;Yw(fyoZG3_?aN@4=kH1o@sqb9U!ZO+dT=YvrbyPx^^Y{!C)kKRf@~ ziwPdG<8wX%w#+*>x!#b@t*ky>@OIaOSto4T_b1P$abDV!kUrvoCTD;Fz7EW)!%Sw= zLf$HDU4_EImkT^3ukn`7CP&y_H3YQiq|!7N4~sucWiN*$n(}1rs(ve_d~tKHkW!Ra z2-|#V#4^WwEkC8d!zYGBzp2^gxK8z1LpSvNgS|?V#5Q~}hmCtA6SnvCObnS=FtUT_ z!e0|_5Tle}!eH3zSyh!T`r}*iy<5Gb=DE%2CCiI`dCUPCK5W2ka*2*yu6*l!IbkLw zOhOPwi6KwibZXcWcFjAxs=>-1ztd+I=5&A3%f{_-V7$N-w!V=tf())J&?}>qA878q z7Mp4(q zCr#&+R4pd@Q|T^~vwi@;2n>=B;?klfFFc_O?>qGTF88D;U8-7^2P0+!_|BgFBt^u`9biRH@*X+-fX(a6LPnOIS-{foH?@&{I z0&^yGU_{Djsz$qhl%lHr^QOs)cIVn$TMruOMw?tG#g3BM7Cueb8b7T!nwg7-c>>UI z@lkeQXW(0xA$83%PI%G6W%(EEc9Sr9(%lUcskoHQ+&nv|bv~8NJT*}>BU;l0@0d#^q>LiWMZgKay}fq z_66IyIQYUltw)!B$kzbFryfMnr(>e+{xaRR*K4E~7StVM9|?#_obQH#rIVdo2!;CR zaIauq2qPyvE6_4}T47;hs$PPKd08~Q;bm%~L&hBBgMQ`jUY0+3?&!CTkw?i=$m}OFiT+vw@;&)MJOz>Bl?}-3cY~ zk|&{dlgw9yKUM37_h;^7x1K67!>EIt_y@0k?%N45$?SccdGui$Q(vhVvc#M6%&B}k4FRC2fjP1N;it* zAN3~-?ddSYb~~hwPeFUJO@&ACpuql1JxmxJPO+kfurxqv=w!h6sB*#qn+r(Az~eY1id zu227rtmFq#06-oE%E8Hiy@US$(GlZL0 z&E*H!{Z)N~>mf+K^27ekJ`=8VAvFNSCpY$UF>}D?;^-S94!{}E*`%s2Ws0ke*qO}3 zs`U){9Sn*fus7q-@nf4T;9$WykWt5%6*Rwo=;}J0=ETLmWTSsU7=Z*Ak|OYkvee5= zbLuMU+xnIV-3p&N8z;_D7N-BOs9)(HA1p@GGsD1jn5O`Rla8-*#V)_q^rF-$piQ3c zW#exTc$|14&xyGx@#*rjZ-8UeQp4iiGwdO?+^pbsLAj}iDYgx}|#W_>}WA4KtK ztg0QZN^)C1VB(J)DwSmOD0sDPB zr!c(3Ktk~{YJA;kJlpgO81W-+r9Ve=ypQf|Y8x9pU5?GtWOXE%J2|`p-F*QUqCQ3O z59m|@Dm}4B1{~XmZ-N4(n(xn#dpJQ~xFLn*7689EJB`=QnA_~K8>du7#y*!Xiu@6# z|HE$4YA`Q*aF$|_`j4`A7TSi!sI`#|r((3cudH)1S>Hg3{n>+BTp+fugZuKiW*#hu zXG4>A-L${g{4bK&zRbWq3>>)z$BnYvwtalUTL_P$)I%_eO+EHwWRSc9DiE-lg|gR&w2SF++K+tWkFtYz*M< zh$jx#H!tRZvuzwO5-e%(K6lL_L{osj|6KeAQn-B>p-ZrTY=#8jd>k%^8*mQJgcdy7 zcmx(K;H@_2pa1f{KJ9$qhA|B-n^VVM82f&P>dw}@x}#&E0_%Z`N{&=4kMB(R_sN1}BE^3$SU)%xI{cbf# z%0vBg&6z>e_%+gi_etp;fN*abFY9-wBM*m^bJlF_P3{Fdq|b3eix~^w5CNs@Y*56{ zM%Dh#n%`|#U`t#1iL!eC=x`XgMl%mGFrVwP%R$*v(mL&rp#Gs{zkJ&?Ws(}3 zfV!s+HW+uEoo?Z~I>OAIXvuTM?dtBN`BxwTy~5-D{kLtpG>WmjN6T zQ!x`6y7=*T0#o|7ip=srp(bjs6GYHKw2?eto~WeBfS0HQPh%f2<}<8dOZ(1{K%t z^T`zn105Wy|Jn;|^T4bBVJ;#Ouf1FnbQ*4DQFZc5R2BvbvxkET`DM4Q@)6<6)b zEA%umZcpf>f{8pr%5U1G!(~AX`a3J#7Nm6ozJJk=?$_QH)wryu((fTrsG}VN@SY^A zS+df3fVHyizKy0&uj)AN8!+WlVLjII&8WOj zaCjS`yB@v;;6`fJVB0Jps=idzU%d>v1KAuIg5$_T+$Z9#zrYC@a8f(Buj7vQqxT@z zd+Py5%`>5*e#JizZ$lLY%=ulv|0F43*z#6IPi@MtiV?gI3fn3)33oTA%j`gDJ#e-- z-$EQZQwt8xOYhB>UuzK8yvi$HOy_^#W`F-vP5M!2JQfE`AAm$TgLpYjdL0jbs6HAF zSE5D2Zs5Ke2&}3N^j-*9Eow5GUw;qo4LJlP_rBO& zX4lUAbzD#zdeOhmK;(JN&Pc7F{Ehm`Sc?MM(7q}DZ=XKgEZTh>$O^?%qI04q_Rae8 z-eo?c;*Dwy3GDxLa1eJi&)WPRy^@CoC$I~*7FS2%Tnf&(`_D2hGO?PZHHqK+*Sl5j zECm9k89D5{`F~447Dl`RN<|I^;DK2Db1@s~|Ea2gsr%c4z znp#}+Tu0!~d8v0iKRrP?V;94DuhXTNCg>-)Bt^VN_R84_oYzunt?eHhD4L*(`M5s2 zoCo?0461W@)ETw@k>0Nd7u?8q1f{O~{I*YgQ+SW~iL@$Y?5R~J27a#esQh_D>HX-= z-l4g}cZY~jIdM09h?$)p7Fxqz@jb;4;|O&Kv11$jOqF56De{}Mr?dUreS@~((LUnDi2X~6F3QEwVK96$$;avsJQ->VagGsTnwzoCg8oX6qA-#S{BI!MT zu|)=#hPb@91|x-=axXMMR{nkXqBoG zMxQ0&?v?*FJA9o^0y)t*x}+VQMf~i}h#U6;o!$W&4HSC(q~JZu79>-ga`sr@XpImy zCshbsy9GXTCw$(1*?k98`3FY}KI^3-_zOQuUh2OmSs`sZ{7y5-U@fAnKsWNJ9uxz` znXS_2hJ=CJsb5b&U8tGa{GYzG0l~P1<27(g3=~#!Y20C+w!T#P#Wl0|3+K@t77uL( zHVyIe#0^ zN3-5~78%Nts57vLMi+umpp>uxVRjGkn{Q&VT{V6->)zAg$_(m(agIn+A{jFV@8{qk z7)U1ny}&xpHNpjzUL`viuiRz4R!UbE*G+HV|I^S5K>lcw^8LI2W~VIY^gxH*H>n&W zrH!7_jTmr+pM*&L_I5#4B^*%2^MtzWi3>ht>~x)`uA87$Qy5RIDp8)0xkI0ThmpU- z<|uR0b!TI@pMUU$f0{pdRxlDXcMUMzudd&(IZRn$%0N8;TSy!r=yCu1RUCnIE)<)) z3oh0(nGc?7;}-3B9=;!t)4X*R)J!YfXp}*A&sZVe!Veza=(n7w%lYScGWUKNqDAG7 zCe87qZ{}UvTvS2Btg1186^_U+)(aGl`sOYX9b}}1t&(4GcJGZ)J#AZKf?6@>9_K0Q zP66|MJ~NGMlTevCq4MsfF?>uzBNEGajYRUoH4ZWDx8WB8Rq_?JUAv%j@>a{a zcvuTHJ!1YWD>t`g>gH_1ClTm0vfY3a`OG8RqDjviYd~c{ae(RE_{#Yzd4|1?C@lo_`(1I1*32zsp^QV zS}MP&JZs)aD4d`>%)KU4p^&?{n~vUQxaT_s7>xpqvmb`N>RQg2lzcHMqxMV!y?i{lH>^d&xIaQ^2@WC?(QLmN@ z>Op8*m>tMhlmDhFI;Y$4N;Wp0spV8}4Ssu7du7josf!a^SGkjWw}4E2s;oHx%+sq^ zfAhIyPC`GkBY{iMt^1Fz6R>V)m$YH~PpCZ8D6j-lNpBPCd3kY#8JHc$b=>T*bd-+g|(u&N6%b* zIx)0PH|IFh;pn~=)?r}fT*4f4pHZv&gU9TypYWsHlci!V4|vs;&Ugi-T6wVA=BpJR z_>E|h%%pYWWTEWTU4CP;o;gR~HebFE8$H5Yd+x>+O^+x{#B*M4-K1gSQ+`hqGka(z zoT{&slugfA#{Htxow$Ybsk(wjM#7Dea`(DL+09nE<@KqRY}d>$1Ev}!>dg}Y_hmlz zABb1P$UeIJ%%yzrab&2JFprJ{V+}9jC6YUY<0Rn+;sL+?cQVJ0&XM;z5pkk#92~+g z*x)zPPk&`w=etKwvj@$JKh}x(+NBDYRk~+xCK>Za7D+;58f+bsn<-c3eQr8*vwa8b*5m?} zHyJGsIZS(}#XYrVzKmvAPK*{bd+12QHJM)JW1bcD>6pc^oM_gUgz||((&h< z=*0YsOq(M;%!Odxb7GYxJasTm!*-3xH57kE-R}BVUU9x&{Hu4o9dcp6mD5o;je19u z0;7f>c~kYe_#Mi9uG3>@iS<7x*x(hlhZZ{nvd7C3y5bwp$1r`lpRGM99kZo#Z=Kh; zC1u^Z&yQ4B6~|Dh#uwaZ#j1%lHZePflZ2S_Wp6yku0-bS>WJAQrwprJ)7+1Q)l$H9 zoEd9gAYKykht9WbB~H(5P3Gi3b6lG#>l^>r@?jJ~D!lgVu$kQ01TLTS{O!e)Q+J^V z!-g%bdaERavlF*XSVcqnV#0FBW=>u5EjR0_1OFWzW|^o8&oEbO%WEg6t=VI7#A6tn zzWu`~%OXV9)I`E(NNJknDr`0xHA4vlry5U3v>THA%bH*`RD8-X7nX>TGYOOIP~_RKjH8n<$rs7mPn$W+h}vyXaUQ3iUnB2YV)pT{fr zW{<6Z&vZD#;%UftIKN4N%3C)pAo!U1pc@byBW3rY64=&fPUvxo(SmI0{KHiOemwab4Q-3`sl`-^UY{bGSgjw4SY( zHKnh!#7xFC<6Kr#Iqt$aqM=@pZ~kWVb!V?hv_X6b19i*|n7)V~{`*hiPc6JPYx3aJ zwLhP)+`RO$qjU9(y*O2tpgVcRNv$|;+dT;pvs3XL$?y!7e=NQn!pre7*Ulcf3bX&= z|FT;qq@|;4B|A@uar8?D`suuGr-z0{>yI_cXC*~D4}(5VGAp$`J29+1GjI?>j8zt> zC>j`>Rg21ANY)I^%s${(+K$UbO83(!w%OKwo?_-A8S>myC4X7` zXXdW;80v6#af;)h`lZ`>25Wgn!{e<{oOp8#5+t#wRp$jcL z1?*K+WXFatYTkn7ugq{R$$dGUyoLT#UaIQard3eYvai{%j%)D47-ZYo!)wtuiOaD3 z>1AA&m|=6Suwe~#RSdXDkl>m!uFb7o1AC+jwv6zNta^Nv!F2vr$#e*#{ehY3(>F4zUV3I!kv0J#G5vp3wAPrP84#|obmqh<*EUvGx5rJF zZGZXe+sapj88)J`T7B@EmQ%PZbzjlp$uUdVnGQ|RH62P1$D6xFtuC7{KeX#JP`0^8jeatZ2Q-A5XHr9QCWR%`S3*j@MNSkW|JK$lmMtR@6EGs*E_%zSFyA5Ty+UtB@zHf#+Tx7-cCi8dmioK?;k_s}KxQjt!?C>9gePA00dt8|50zOc9FseSFs#_oaoI5c-^8A5g}sFblE z@+p#-J!AdH^(q0S&K{q{iR~Y;We9zPp$~dayi~QR5~Wn(RmhOLRyd<7+O^{qr?{5q z{Kp#`QO9hh%%4S*x}9eKu!WG=Rj;jeIV;m8I!yCleP8xRa7Vm!xOR$Gy}Q-^h=PA* zZpSG5W#jnR)G~iL)dFPG+dEh_5j(=NdDg29_RLZ9}bLn>lNS2^wNUAzsV z4!EUxDcCr2ts}hD`^$L8PJo3UM@!AvC6*`jJIrS5GJC6@2~ z61LL>DP`95Cd+qox|G^KA{4-bM3T`zi&6 z9OGWXU8M6+qfdK!t%egy^Yg_42Fsrj*h`~ywMBaEb@`#a4ir)O`2oj#R$UIxejp+h^L@bL-m-~=_G=g5A8<~` z*QRVlKGP-lVTRW4FBxg2kWCMyJ9Cj|TS6)9BN7`Pjf=H2JDa$tlQt45?mC^`&61vuvO7W{jB-LYd+)NNb48i*FQF^0dBg(3~J1D*@v znk#SdV1DD{%NdKB-V*$3GxlneY@FG6`+$xE5?Mf9Cy3*5pXk)2ETsEkfs9CK==$V~rBV#x z+Da+oIG5LD7)+AJSpQVd$ZzgV*~PfR=YcAio>$NLYxUmFJVE83jr`^*vvq%Jt-kM_ zYOzz=?c27zXqcG7a2Ivct5N>q$pedbGjsk%fw8y8!L;N;$>a)skow*Ce+aTB{AWr} zzPkGmuXgvWEa|@TSzZ&dGQODQnCKv#$9PQfV9@0E1t~%pEFvQHn`9=*3^0v5C;ytp zhpDp|3gGKp@tTyjLl zlTkja(NHi$&}h}Q93Qcgj0$bs+wa@{X`K^hsW z^se{iyU>eGCSQQjT-?38O`}!V$JTmogX7jL-3@ZGO&=_AVlJca>PckXhA;e7G)5$B z_AvZ$T5K6vt(7hj1)s6(#jg0ab3gKGhS?t0hVlU!gSGayxE{POy; zY15jrQD#w}Z=h3TPT$ZL0Abvm^?cLh*5p%lmHeCn6U%1!m#{+?DhjFAPPZRaspC%5 z2(==aaiJtrG$m#G@uQCMKdX5!!z8aP&`(Q^r~~hw2i~y6tV4|D$(a)^D_QICMkG>p z6oBD68x#u`xc?!gSXa$a$$eeyB=56p&u{7+jpOWIip&zck!12rY|op@GmCg;YUuQQ zd&ye2SW-q9euILRI1ww`k>!bJYA~uGGmbq|@@X-CD^8a69DB zq-lFMy4Sfpf5v7a)NoJ#)4TFs@98nG?vvQ^WHUS5MwWtZ+2Xc;LK2NrtPXo^m@ImB z=^pG6X?Us&{kXwr^}|Vj+G#HGg0p!a#BtkIjOHSnv2nM1{Y|@agAhKt4G*EF#Si`Q zo9Yu^5pjAZfi%OLX1Ip-fdjm62!QdPjZLi(C2ap(YPy{Tw@;Mrf_$#H^v=gn~fvOvHfB=WMIUN%xlPm9aWy>`k=y zZSC=4;mkkf>mu+=UNO5{HIrFu!Re|HEC$ByYOHZ0p$?X~l#9OZ1Pm3gFl=} zvyOs6HH1#VEGk48b*$meY-B(wNtL|dG1AIHHi+_iQ%xGB*0 z2J<}f=l`r>%$K|E?JHN@pU}z&C_kvW$$DET62&7_>#Bh#BV$^@lM3Q92cX`d01wq# z1o7x9cdtk8x(VxWemI1K|@@Dd`2K{J>G&LFb%{$ zW3X>B8$fu3_{{p_hU5X=U35Wd3gZ2-xIndCLu30kL&=3;lFje>M%Pi!qgK`ptG^ag zm?FF+^!4bjgQ^~Id^?B9zLfkKEbM=ZU^SipL%loa~TWB-?cv3 z=PzAB_5uRHxU;t^@l!=%6CmB#6u-c$1OD!US6)QkdH0w|5a_KTVU_}!x2_SL)%|$S z^?%MX@}~>0bB#2bc*tQ#KRw5H8JT>=wTAkW>`tg1>9}aHZOieDlsj|OqzFr?p zQsG$ujfDts7?}c0U>qOc<%pB=KEBtbYL%z7xWorR9!BYcPZRC5<*!~*uS}+7TN(Mv z{=@*&e4YAu!fV?l;86A!eXj=J4DeEqNL}hP-!eAi8|!n@gGCB(hxWcRyPUFd_KDW9 zuLXa<%M{)_Ctvxd580|U1zPD9ICZ-XL&B|-3$SNk*F9QnLAR%mFECJYM+s@4%N7{E zE8)tSnkaXQ>oYI#>cvCl7WQw5ZOJKxfnl)GQtdRfN4$}_;li2t0QO#acGyuUrf61G zpR<P<)nJ$*KRjxS&SB`=;@__Hsgih{-LY7G_1WfPxe7mKwI~MA^O8c zrFvW+zR9!@*H4phaz0M!XR)MQ?cpBHwFtVwfeSie*_Xp7ekO(AszYz(3~&m>s&{V% zCyT0=j&AHf=2Vf?b>PA26Mt5uxRIkJL#IB-}x8t`-%bs9!*By z(4J|RW$Bpe(_iN9J_6BS3iI4qJ=psJ|_Z_&?-e6xYi~63u|5(Jw{6>hP{SRP; zjyLxS`Mlo&2^8%yM0mLLb4BTy;qi&!Re!F# zzDhSeic_xjbw^5kGDbfX`s&vKxM#-$n?l4BLjB*61(_(Re?zsclH@?$b`Y7c-C4zd zm}f2nPnN#)=@!<%0z^)5aG#PTYn_M|a0_fsxMY zfz^i?ne0YZ_gmH4M6mX6dxFZKzI?_DgVs+t%)ur`MN@NPt;A~T7VeQZXydpxkQKDP zcrl!B!>V*lv5x3o4pF=EggSe3*U|ooC*w-={XO?;pvHtFv9TK{!Y#37aZ|Gorri8> zlp66p+^n$bpns(4$z3$d#AvaV4= z`93L)G;~(zln8FZ-a%?V3Ez0F3PdD%hii)A8C_jty@THxS|C(_C>Je#qy=INiJO{g z$|EazqxqWk;0rrIw@NEE-;I>Zy@ixfPR~ z{E&jD&y5fM^zq7Ai9uKK`iWYYw8)2=pu74K6tzLej%ww{f<^Wcj;>}%rwwy|moB}} zHGEd4@Hp;dv06WBaS zylP&lLw4BDP5AbX;~EleSytlZJkBzs9(fWEJSX!D;e5+0yJc6~lw&2an0wdORzXG~ z^`vWkof8nL3YcPKC24_@{7QkG>-gpxL&`EUjW(`zuj(;{4f0}_Ew%M7&@IM}GB{Ux zn{|@wPTdy2D}gl#DSoDhWl$Q>jg)o<+0e4p`m+U zRm4BVMa-&+h_E-BUz2zi^_}tOW}j8GYPFkVXJAL- zSEI?20+B<3k{<(4#WRj^4oWCJ{iDquPl#UT_#$uHY@m-wasnn?qp^0a`78DMoNZ6= z8n;d(L0<5Bav46p9jQ^=+~m)s3m?9$tskN6h#CH|{KP+M zyq66`Mf%dCdZ{}pCp(+Y$nareYpvxt8?d;eBYfY|#$9D)@hAj-#x=t3Dn!9DWKh(QLN`vb0X z=epj6do^D3N0{)n>K?qM>KN`Foc&cu0&RaKfD$p0_D@jnWMMU^5Z#$4^mK5E3oU9j zw(=}SnnxM$g>1a>{;?cx6}azt{n@jh+s?E|VG>vB!9>>xp=h6SRhVUe>| zG_OEp`-oau!xV43-u?BEzG&8%yC`(j_jj{-J4F(&f>YU%IKWCu#c>_HG&967aU%5V zEYNG_@0$;&oWX_ZfVGK=0;}rTE3(Nv{p;y?!eyca)yWNJTc3p=t(Xo(sN!evgvh8s?p%vFIO3vJR14~bxtv2Q6D52xL&YukKplBOT+ExW%ZgGpModkuO3 z;;$C;Qac(?_FG)@jdBJ2^t z{T-p*w6SyIi9X%IrITV|p22nL!TqzBNWJ zu2ufzKXOW4S}$4EgZ`vLN;3HwlzWhA^AJ9apP^1c#;NXxh;}?iJ)yjO=QfnT3EXqL z*b2ON3pi;2DE9KI*>`*Ma2?GYkbBKfpV32wh8fH&xp6pRv>8Mci*FE_kCr?bB zK)#9^?NF-i#LCBta)@?8zHa^Ka!jQg9r@+s(ovwl9=1egC)xqlEjn3==8~*WY~~^u_$ps z`?_`)ECx&lzL+Py%Y)TXwTrb0+$&RYGPF$n+#|DmC+vbhw{b2E_Rxeb7m>I4v!Ks6 zpuf6A#GOMY_)%FTNwdrfoeW36RVhs;+Y|8&E;VIws)_`E#MrZTI}na7We#$7$yjyW zdC`d?VNZGSL228F)5NT^$N9UJc8E7M&>w4{Kj874>InW_#&SJ<3{3`)5GD$1T~8ts z>mTp|8vApi-Y&_OoHLy)Iv?7LL@1!Jq&*ClntGzFMcss(wqTH7WKo2eX})=Ob$1tE`CK$=k|=_qvgn+1vTaT{j#1(v{$)1kL3BV z=0-O0SD|mY3Emk0AF0xsn3+ZTln@}}O0LH>ioO=W|0ea1Wa--5x8t+&a^ecWMzm$t z*q9Ui$gCq}W=gPK`O3mYLUV$8B#AlTB~kB&WD6j?;$-x@3c4*Z())m26RwM|;c~AR zh)8;23~h$#&NuM#1>;HieLJ_|ak=MOZ!Ku=oEQ(`+gov4>?Bu2vE6Q1_ceuDj0h0WS;$t)V^bQmm}w)G2*4@uq7+!l}_=gZTYLlN@br{71HsEwfQ6 zr!f&Tvh0-2BFk84L1hlDbJoqbcMKSd%Shg2ts0>-fU7qOiMWhhGsUXIv|>U`6C%_Kj^khpi zXD_y+u>7-OA}*Qb=*IhI!2H6#-EFzdn;j~%sBjPvUiWF_x0U<}0h{H)^ z!Q&$9s!M#GpIi?i3*nj=u++NozqhUgik^O^mX;f=m~+4`7_4EO6&S3|-@#({9$dSm z#I=NIH`lVE)^SwIUxuU$p$B=xKb~kCj|9M<-`$BiRW?MitMh?-!#PV)lS?gwQquIg{$7Ob=GvHFEWLc;{^P9{4Q?2sv>RuYv6DKk3pC zi*1UK!KCqz+q5tqTDZ47&MWoGKEp`6&`KVjXW;zV(MBspp4;?Bvt4_KwAMS)XRznJ zz+Cv~5I>m)yS3xzZxCM;18&m=o*W&Wu&Sn@K>1I2GE{srF=C5;Qy)e%Y0Asr`MS@S zIw%VT0ui{7d)};M_sknALTtrAJyI*;8e(j9J1Z_QXfHbAI}fA!;LyFdh)td1pa?~x z*{bdvdHe3>s!x(FYQc1o+&TI+Hbk@9HXRbdlD}`~aYM6nm`)B{jEsq?6t2UE zwL)3QM|hd9b|dqtC!DrIQr>F`-fE}54=up8KZ3Gyd3Mvup^KWWbr83!y&UQkcoine z2AOIYM$t8@_eY)Oybtrks{mU3v1NV#Vp%$*Vt$~PUyHUlOnCR*3nLipolL&< zuEs>c*QqN=#QkNe#E6UFzckM&GZQl`O@RmuP-Rlb@x-uqw;<(tWc)$+t$bs{%e5E1 zbqzWngrCdN+NI2F4`$lpGAQl8SD!JI)RBVpSHA6&SQ)?n`hTiiM{kUqI?${60TNZ@ zQ|ig7r~*1l}1cBNHN$ z%J=6ZBX6C3^B!^w0mhm6fK{KIeun*CXUneJ>b<=Su=ET7Ufz>r?TT+0XJLFdp#--UuF7kj)+npARO^vg9!3ulC7JCZF)+>1p;N6yE z)0BT-LBy(`BpQ_C?}`U|42kz0VUi*^Wm{P#jsddHYYrNtBb;Z@*MSLNg9N1BoE?oS z(K~7E=Yo=eJ5MU5hFlmGyPyL?MK7HtHCyUn;XPwul(3+&=u$!cB#&&Oi7OxnOsmt( z74T5LBE+>8LfvVCz_Hc(yRYNH6mR_J$+LjRHDOFcfF)9%6SIt3*-`F{=LYUEn1fvS z5^OaT+Hqg~Wf=&s|7Y;za||FO1c?QDAyGu%f5!DV1>`^3AXDg%M_xkxe+JPEFr8=% zC74XJf5_PXeo{L0B=RwTivRT_GDvv;ex8Gb;(vaBj|aWt-_K3R75)2p_a69;|9md~ z)!cvnA_1Ax|NQ$m7&P^NKUbh#@$cvPuNzlGJ~ zY@q5}c4=v;(|L;LfkrVXdhwT!-(6@&QJ(A%$~*Rp5wD)ioHvMvQKH%?-McadXd7*? z?t9(bRTiBY;vu`apW4lqdyr_{0fy6j=qc{kRiVDi#M)m#e@m`&B$s8F0&c)}6H{W~ zSJZgsM&W(Blb;Lnb8)&w1ms*C|MLyJ%)}6K?)>!hSG|IV$)jQ)Zv6Bc>`WI6ayVYi zvH1P#JKuaT`+f&gu?w7rX9IUQbNd9z!o)NP=(&0p%7;T^W4Tu;U4%0v!c@h?KGVr2 zW&%e3+q(Yu%kGC;!^K`$CZxx1I~kW{ym422+B2<6b+?c=aUHQ=|IT;1&K13!;yzUG z?uC{b*|6R)`Kp>MkXfffH;rqUAFKN5E7bcQlxFHv0q-h?fu6G zkkQkp>To!crDlN$%t8+0IaG^vQ2g6Ql1+fQhw_qGNjI}s-bN1rbuP_?n9rlwpE#*kG~q5u_c-k)-wafRQj z{^Y^qS@-+L4fJBHmcx7qxB31`zh<3F3Dj~FyVC#q{{8zp#J6wdfwcjn9$YI~TQi4y z9WA1FJD3C+?@vB=Kd^kJUHuj?8^vzewJcC1a;3DBWw4XAu@JC;?r;H~l|+jo1r?PT zsFoy!>q0~#zjF~w^{)%hbn4W_#Kf|7s8M{%w;u9*X`}Mi9@X`(mwS0+C^c~Lw!mM- zY>%Xc)>wc=Z?~YRNEKYK9!6<#gH21+aCU4l<+hH}tT2x`2GshRwf6~TCORf2i+`*7 zbwWY{BLhP};Mq7$dLCLWBmik8B_@`G(w5!vFJ8lIov=Vh5unet8(@X7UF^LpSB3t3 zpjjQ!vL41*H=>}0rlVsI*e-#$A0HCde%8 z`ltm+R+a0K2d_EzeG!2~Z3LF1qqB1lO=3fMWaD=2ijUjx?^ijEI_}9Pu!%)F46CTE zf=;h}yNjKxZ>1iC{^+Q=zSdUpDf?bQKJ1VZmg;c+&x zOw>9ThYFqjS!%<_$LFy5C5%!p`Oy@a6$%s?%%FE&KQmbV<&h|o-+3g6wIMg{wO{2i zrXz-l)8mhgk?~or?*5vTfZke!f{XvsThZsT4*jI8>}FH1Snd z94kY9C0tsyP(2OsW9!~P>UAvm+M+L$DPNwS+9NQPvO;G&VOoM`V+LWXflNiebCv!5 za#Gx+bv>~$Rt-nMbY1Yf|KPzI=K{PTe)24Fex8UgdD!()I*qn9t_d`+uau%gY;i>oQ;3dF-vJeNg8fo3GA5&BP?b zq+0ma*w}cFARCk%)`Z?f>Avv-Y4hVcW!&?Mg@uLklTtscUyd7N{XtK%qM=kVs8_Bc zBJzPIue@9tQaRUUWKNjSS@jf=p8po`F{7+rJ2wa@_>>Q4yc=mIzDE5Rh6I$h$nS+M z&@}_KY29|)>CKvM;j1+^o?(m4nqZOBz*CmnElSq|*RDf+nT484j*5cMA)E&6TG_kw za?vydB+rFGAMC-@^HY-^$3V?;(+D|1tny%zDz&R6*l>_RUg|+&>h2Bw`tDN!Sy}hOuS<&sfi1)oFN`Of}ggiD&WTzx{Y4Pb3v?iPl>cuwX_Ou z3!T0NhYrvXE8atzcw$UPZXR8Mb3CIYk zqBMus#D_|aI)|#Pbw@Uxzx8^b*@J~b4I5B-pO(<{r#y23$_Ex3Crzy5lIC@OGE*h} z99UJc0^NzPog_rs9WUE%5wehs{!86UF zQ~5}*gR<1s2nouaN*kMdM>fYKJT_l;cXvUGhN{A?4vkL4Jy0CFO6Bng*e`=H!4YWF zq~ZNhQBeV_34HPPbbUP#SE)%aCETH33|ew<_N(yY#|xX&^;#h3Qc*smq3M`w2+j}y zWHSIdS>$j}ySxUj2z@YNF`OX*E+=*{=n%86#>B?vd!L`7_j>p%fWCTyqTLYkDtE)0 z!(A6+z*iQb^wC6_NtjhVRuwV!RRjWrDK2x@;kGRRqdcR16aQQU7{4Op-V_u7aw|Zi zbF69>AIQc(PaAGk@wc3B4LQaZd!v-(c*WGTZ9hZU%DUl5e8yuh#A$n4_CG!#|4)^!W=^Q9r-0r2JcXV%XG)G^Q2ZG#vMmRR;#4o*(U zw~hk*kOOl01XM4zt7g1v-3~TZ9s3nuArL6gPUK}hK;-$w#iQRoT*QLn^B+ltZ&j~m zCzT^GTsR;dgqLM^A}1PXN`=)FpX26)N}P^c9t(Qq$!(d0x*x;a7RB}1kTXg3KC1y` zpRw~)=jx-{_Og4~gZ^7-ev}Y!yK`U-jLT5{;WXHx-{1U2`t|NrUWc_atB@rF$k4It zMcYbtl9eKaqjvZ$Cs+2zzU@nqb#_y!^Tl9>-sEUMImDfa5P0(q~cpy*^n*t zIt$Q^H(rgpLZ`F09h(TabE~Vz_AN5u{}p>>$%pq3LY9F}E;-kIyM7eAdl7aP06rOW>>JdW5DIK|Rcv1l@g(r4c?H>r|2*QD! zs%bZ-6tSzYa%j=MMXKp~0zT*dp1`D9 zpPiiHPG~9Cgw2jzegaj6;;1Pn3<3&VKsYfvnWm_%T{t&4w`3p$V5!u=d%TPB5fDM~ zXtts|>=lIXAWyGZZKG%J*8w&fg?=W4_ikRn;5GrY?F%MlcK{fxv$)n}N1uYnMi@lZ0|_Q6d60d`N1-axY2 z>q~oG(8lMqkqe5lYZTY*O4rWodL0=dohHmWx(tIkU@jm2t|hfZsIswfcJ`ZubO=dn z*1J`Zk(1L(z4pD?5AbbtQj*1yBQZF;Mo2B53nFB`lZ`TvRxE$_{X$OAZRmZrz}f&+ z`2K&@cCIf?#bF%Z3o8Q4EV`2U#z~f$WMXR8k}j;sZZ^u?6pC_LnBk_)%hDp8MwW%r zWh#}^nXQ|mSx&-%6{zW~8B4UhjO{e9TW4-9`#$~)(crw>i-+IuJkR&@{ho99jmTZ> zm;uWnF`jP_LkS|7+E;NtatIUy6}P)!7F;|wHFFC9B95U9wN z=kj>8_5?aK1VOFI^|#(GWem>@@Pf6N_j`)Tdn+@3D4fRrKg*>4o>YV1?WOAlNw8V% zGc-WaCr_ZM^r{_TTyJrJC8&>NxE=2Mo_KjmQBYVIdan0*#&TcI_(qD10wc*_!ReWy zb)PFsMK#66i#G_HVhy6qrzDHVM?H=|Pt2u``T3%)MynOs@s)|SPG2Ws1kF&XpzPVG zD!*vQmAT?~d2{0M@6+w~D!aQ6+s*ntUR%d6$3$A|q;005p(LE?@wCM4?4NNbD07_V z$?2?#zz9yooMrJI9Nl9O#j5a&k9Xf#9l)7pmk<7?l%pep2^7lAm9jt6rlaxk-$ui?JG+Wz z{U%)9L6N8oRzsDndF|i9MR({tsmo2}axEOxh_oo3`LaK~Pg3e9ZoRfZl`sY`6-(OD zIJnR~yiqQ;r(ic_=z2Rwd88nRiWrY84HBlgtPRPq2_zn^YeK+k!zL3`ZxHE=x%+xv zojKr>ZR<)63gA?5DcdVqovQPuJ*o$%Nae=H)JMd=JvN2{g}x?#w;a2iSD1&g}s?9lsL1b-NkZmGQUPH25D2;v&OqQ`r-&$}tcb9EubE){ZN=r~1&U(6e{ctQs3a!%U1p zI_Wa96J9Gf?c{Q~G7w5=wlfVULG-$lXbo-#6KyCjjofWwG;eIbr#c&4E^}46X1%5{ z8iLc%C%r$9>%pm`r?M4FLX@)1Q8DY#DV9janpw-Vsoc=&wY?UC%f~yGhk{qcqOU0O zApuZ@@#6vKz+7YjSM%E*fRUUyIIJqHKkEq4rf@oh5=Y*{a7*>0%}^L}Kja9E?rdGY z_qw%fKe1Xi3i_FGFq*^Lr%eoAVQX4MmCybZ*Q5SR;QDWh>6jUqykq5seE3d9@^{7T J)I=xd{ROv&cgz3) literal 0 HcmV?d00001 diff --git a/doc/LectureNotes/_build/jupyter_execute/week35_210_0.png b/doc/LectureNotes/_build/jupyter_execute/week35_210_0.png new file mode 100644 index 0000000000000000000000000000000000000000..756746c5878d5290a59bf9e47a2f369a944f0bec GIT binary patch literal 19873 zcmd74c|29!+dsb1tP+J%(M>2qg(zdvfJEWQT*y4n^U!EWiVzhVB*P)oL55SAGRt(# z!x1t&=JA~GwW<5l{rTMY^E|KT_j+Eh-ye0Hv)0;s?X|9T4e#rHZGYt}7k6x9*@hs< z4!KLR*ARpzA3>;-wrql5>IZ#e;p4Q!`RfiU)l>EUXzcn=Mi&vru)kIf|xQo^)4@ha;8V|h% zAI;mQ@!8pe7_6q`WLy1q1d-<13R{G{4f#a-4_~e|`OX*n?@lu)dz3>VFAHe9e}8h3 z`0lw?z(`6Sf7j%Fk>Y~+F0IhB)Np~g#BKSt;?tM&2PG!_W5_e{%qfaWN@ZeQq(?bR z!%2O0ug=+yV6#ihBkci1a+xby`H?>h#Ao+c4LEl(EFl|>ZJ#JTkNZYJ)qb}70ya`Djt zf1Nz1^X|(TdUo^UoutTG53VaO&oGWOW0Sldk3C`$X-`zk-AK8A>;$Ep$3EtmAf-HA zsG1T$Ju%b}--m0r3Z(Psp&{L7&cE@wjMaOE)bi1BDzWX5=ykXrouVd#OwzyC+ilt zea?FH=#ih_vzVAvH=jk1Kd!`(ho(fXsV8Cj(Mu6$hT@4GxgHr0Xm@@m=UsN>Qez@IT53$r`(rq*iBco0r78FZM@7ET3d{oU=ID{r%V(Xa0%7 zvqq5=!?0YXaQM(*8SrlPokzD}xG`blpc4nX*TlS+z&LE7OE0b7-q6rcT1m{xY?!)k z?$i@>OE*^R%y;f|RDW^W-sp3d2!64el;T{#OPy-8$I6OVq%rM4o=z!c>PyQ<}MCs3+J4Y&4@;YgiH-_8G z!jjme0Fofx$}?WHto`QA8(Oc`sR+C{2!sIEL>iiuX|dgMd*Kg$nZG%A7}ZSBRX#Ic z2Wd%P=i`ZyyBkRPI2jAqUdAVtS;Fqu)ponUH2j`?D;GU3&f1VM&73mp;8@)CncQ-^ zj!^tWtv1{UF7R;wzLyVI9|ZGn$)l%-UTKucZ+rK>w5b1zxq#mG>j#g*U7PQhDRkM} zxQI_J%G|l2Dn=~;Gru3CSanRJRmZ~2NwSp7h($1#g#o?gNeiPChZgKi;bHo4&Ak7kxkw{1)7zo(x0 zy~66rnof{?(cQIDpXB}~K3?!${2+0(6@)XB9VbKsQ;|oX0!diA`(ybUbP|f8waoe! z`dmf>18?%CJyHo6{t(&pEie;lm4^?nl=}9Po<+aJ+hF69IOcZFWn1h&5K@9JV{Gq* z3)}{j-Z!*gtYnL4Mmd~l7@NUv!JvJ+68g78PvJoeuDGhIu$_5fU7I8H z?=d4jQFf<7`yHH}8fPSP_V}Vd*q#ctv*>I&D4`QqWMNHMWIF$W0lkfIp9NR{*ZwyB zi5uSK?sMDcM#?G!Q1#jPFeCD*`JlAk=>E1s!?^5hc(NUq&dqrnHuhG;n=q~q4Fj23 zTk4kL%T-m?7o7(eEvqn20*YsIDz5i#L}HCzRKL9jO5LKpad%#7=dSisvs>~wk8Dvt z{c~EohtHkO8Ag|~@o7e+vir6#YGwPts+iTZUVhKFu{V(eHb9xVBqQ=u#nCP52eqO= zlo+o39D{6)Kcwx58Xg~}*hAX=FW{bt2|Zk7O-N1t*!CrCO`iWWQWmCQxOqZqnP2=7 z$GNtHt*{?`pC(-{*VgFeG&eNSgS4q_<+5GtS#k2@nSIN2Y&yF@t-LcHMECN<$uq5Q zpL{Msm+4bFi2i}StOBmJpL7u2} z;(m-4ZEHo_9+78HoI0^v(0=+`r>ocgjIhpT%xGHv^|Z1n7{<5HZ6nMnmVJH48b)s_ zbM(($@A`%>>}RzQEm}LNrsHYH)=y^C`jwG=;RCFd=(9=RkIOAfUq8@)cGHGy6T`Z? zQXYj{%I$f@M-QiqWD(pyAu%T_u3{26n8m1HNt})dFr#oh;0e(fd(G0n(2u)F_jY((xZdiQ+RCMB8aU9Dt>a_5Ue2O@mk9x^PA< zH*a{%4m%|sI(Fbkpy#>vB+Vhd`R&K0nT~31L>?nzo0s%2QkFno{UdW1MOVK!&~8)H zkry`hp-M-s%_TqW6h55gu)p8*sw;kOQnoz&{Fu_I>Z;Ym(fTId^XO!(Hiz-bvhI0`Bt`m@)n z3zg<$cyhz88sEYekxb8Wd24I+i=ahQ=mew#&8$(+IphYaSbylDdVF2l2D49SwQe-g zf$M$3qx!i0U9=G$jSov&+&(xGs%sYX5+}NRv7e_FZ%-5J5a^2t)xpz({s|sxU8E(r zeLMq-93Rl5Y=ADM^c~bV!QwFA?ez159xdJrCh*fKQ^Uts)<#Q%j}7a}IdNK4oORLT z)me_)GpK(MOZ6Yd#?VI)w8*~LOV_5We;S+hy*qtAB;?haEvKr?fY}}@*&`?a2)jS; zO?;BWv$3%=_@$kV_fcWE7I2tT;Wu;Mjj@0KhcB}aW91;N?aFrtkLi{^_{_wMpOZNf z@>Cp^#_qZ~PTqn7IBnJ@d3*!P24Ijsu-9you{#>_^zypAx}7hMr2;ug#E9?DxlXc( zZQ5qS53}NpFb}kR?iMAn{gMQ%-1~qG-^U&Shp9BUC#jVgjcGD^wbvAB#o{Pa+$Dy` zj<9ITVL~xGss?Fmn$H&(m2vldx?^BF>@Uciayq8dE#Q0zQ%u&x*s!03SGaTq7ywmH ztT7E^@0r@gQHQICw|?b8?<3DryNT&s7ZKZ5@>pceSO|wtw+^Wu3&~t=+mU9e68wSI z5RQkmTD{XL<*)A0h`hZA-T!R*F+qj&B-rC{ zAt}hZcxA<7v@MGl^%!#oqRiRZiBB%F`io8E3qE3%VCn4aB;m3P__`KroSQv*ki+LR zYc_3jt(6~Hv_R71iHu!ZR=J#9TwKIx_i_JJkAB`Xqv|M^<@Rn?C5c(p%l}nyBT>3j zTBdQ>;syv#A9wuodg_Z`-7ze+#x#!=8L^XBV62+D4r6wQox;p~j8yjQbNu3SQXqaI z@Pwo!E1krQG6W1~#&h}}nOIu~^J(FV%R{;Q(0S~)&QIg-Mv$Sp(c!NpkJZhz?D@{= zhG?-d)*9<2%iCY&eObHdP#%wF@7U0ge;zp1GA*m%H#5w4xm#PbeE1_JcOXjC?)xQl zW!l@Ig}I3)qFxn1g}nA1)K| zlv7vLVx7TAV)0W`*PTnEHWIW*9;c92HAl9t?$yrjAOY{i$~3px;f0xase=)EUasQg zg}yY$k>-u_v$HQLY(#@#2_`fqvwA#cW-k1%m~4a>+`P~Ii5!#(Qp;>T??~b6g~SL; zzm7z0k6!aPCuUzvcIM$Yx|RlfTe2+s|Cs3Qi(78*TH+N*Egxz8G7eou3WtYX7Je9< zm@SU{;YA+a>yqYl%J7cV@>-ymNHdX29!@RwUZA7=v6EGN@ABMOAkF5T#gT%>`Ve>0 zj*t8h_1Jn=?KV;8@G(eR9i_$f~=ueqq0gk_hm zmEmeqsk+X=GBQc^@=M9x1?Gg}ECCJXB(q&pHT|@R;DVG z++KnWhB!a7?dCO(zl|RWgkmYFt8<>}So02wORA=G>pgyT<>3l=eY{LnR1C+L`h_EbbovS?( zj>D>Gs7FdAH{k=+k}&6GW%(llQ7QfY-4K;AE^g*%DIW3?1b@ljS2S)vp-?{`Rh+9QK3~w%IO^d+-NMSfV7HPfMSWqI2TpNru6imwA(<2dr*KPFZ(p z&o1g9^?V9^Hkp!%L9kex!^P$$#JlQn804_Zd0*#toF%D^PMm?+lmU`%Uu}tcM(kzuMIvOLOx;sl`w!|IR$;GV9f5>k>R=o+26TLiAtw!d$pZ zz@wMe;J*rS2@6!0d|%Rdf=*u!IsOdCB&xA(epX0OUH6YFy9t^@1#R2z$-JIlejyeS z{8tF5p~0RHAI!#ci!5>lR1kPg&mx}(gEPVV(sa8w$D2^w8!jH7d2XR5ci*UzYL3!y zhm@Dy8S-RLc6h-APC^W|teYPC3CRz`9+=!)>~3$@SbnXBC@aCS;G(WT&Gt9E_p8<9Nrt5CrJ@HF9 zIms`UH^rU-8!e2+fe@XPyYJi?Tn6rY2{ z%Xg`4cMim3PIQ20l;ZH7FRo+r)*3mQPuI|^oe)$%Ga7CmW0S3lWj%~YGocS4>ug*$ zCBnD%DL+C?`m$))M>XdP${eY^g9#X zelQhvmS|4y;gslTI!8MDg@{o^Z9jJ}HY)QOb!_CCV6bIG|D9mi&RG<;7Wv*kN!dT4 z|3?Dj7o7s|{t{UatD48zQ?9Mv37nzhDqm?;3eWnoGBGyxP%SCE`-8avs~L zet0HJ6{U;^SHtbJE|2}ti&>1}MP?xYeS8VKXZ(6%2$PCe4bm70(jr}LdSatA1H`zo zLoA-B!j>BJxA`0fAJK$I&BL5qj&5fF-#d9r^BT>-qX-KGgt4alY9-EYPLgwMl8FJ< z8$;%Lq@gL~(>`6FJrFnk=KnZ+pY|UYWv1^}Ct2Q`h-(d?+sTyrj*0C6xNex$tlIuH zWG697tAzYnLWee+Z{Eq#a)77m_-xHtT4V#r`J)o)&Mp2R!HgOE#o~CN7eqcf;!O9Pur@J}` zOX)W7ToVT?bU8BJ7`xvlClmTUpG~UeLyn-=dOe(#PB>D+Qy6zRE5JGg(>y}ziESEW zLiT_Z@g+88Z(vSZ2oEXdDU{>IsReJ|jFrqrVlVYf>O3BtrV2I*f~npPmFAl70<0O-r2@yinecd2F5&|OOR%T10ae?e z>%*j`-P#VviE|>s@RmS~KqH?6Q*Ay!MtnM|v8f|aZg|+3ubtB9W<@2P0kHvJGKSZE zHd*uqE&wm5yLt>qNw^0($#x_)-$RbA%S=6pDs~@w+3fnT0=LvcjNL#M<|Z~eJ##77 zTuU#Xq^4fhy;>wylF(qxfbTqjFoEZMEw(MJ;6idC7pZDQzGFRlp(2*FCCy;T zG(eL5mIpZh2=k6FKRTI!y>FO|JIi7)_R=v@a!W>Ka%p6y5~-YP_0PXVi(U2l#cLEt85 zKC{!>>Pa?#!#T0ofEQwD|{a|&uzzrl35UG`y-kg>+~xu>4laX1v#Z8 zod+yBX5*~O+@)5t0WHx8eAT3C+dfCM(bImFQu1s+3C2vLTVTY=cblKfzc*#nvYinV zXEg)2t>#?2t>#uoow@t~n9&y&|B^T2kT`8N*dTx{>sB(=18#uwVhGW~bUUjt~; zBG}SBX`_B6>^pai8&}sfTWX-TR{QyEOTrgBts*L)W>~Jb%BOFhWG6~>*(h$;#it$Z zP3fT4i1%J{7%g-Xc_KJ~x=b ztOPJ|x$mE7dF)?2#C|mF4V90>ZWrJCrm`?jrGuEa@P{<&bC~v=L+IEMA0Y;4Jd(Y! z7A$sTdt2KmUm>e3f|$bncU+aDjXq}OXxYr9x7Jl9Zl8%?a#oKiqsGX_?TBIECt4v{ zCauX#>a}L{Hb-zhM>&J|TtaH@Y(WlHZ_thXBY@9E{%H0_rTay)8Yd5vE)pT!0>Jl?KsTn}AAN$e1yjcW)hIO@f zH{(31Un7`2>3`&yN^qjGsJC7m-&;Uf0Igye)A!VOUxP%v(Sxx2Vsje`5T}0%H#(HY z-^A^-ZjM>NZB&rth6s%m+CZu{2rh%qwqfntV1uNYz^F1LbV#Pba_P0yXqySQEOy-s zP)k+F;<`4=f|xjBTzq8{GnFialRj%;t~8Cjq!}@=&@bgVjnt)Y&^`2o=d^+5xS0*_ zrffH>Z-uH&Bl@!gn}b(WR(d~Mm!KMw6_Po8k6lEDW4jC zVPhLOr$4(T28D6~_@DQfyYsCEO=E0hN12eOf)}pWZb934dL6^?VXuptnZarrc%f-)hMu6!^j2MM7o)?@d zdRI5G%<7xHx{AWfJU&#ONDnsSvqn9$$6C{f`dV*;A#O+Ws^)6}$i5^DAO2=5%t`~D zmBYr&dPaiXHm9)Hox707w_t}&n>JL0-K{gzWXIlhI)_My!xFy3I#k-ku@n#!fA!L+ zWPFtP;6iGSnaBpjFcK##{cevI)xiU-yh&bQO!HnTWGPUC z1YunM=w&JBKUK|-d+mO-mhXU?LVt2jjpXd*{0Tw2CWpA(4t=fa>$97X_so|5M-+IU zaw&22zHtgS-{^3n1S2u~jM9I9A`ttjS%Gsb&^Z~#qKj{`JKkMA zjrHMw7mam8QxR+(E5m5K%sC+@D&F;&ucRNRkY2D4G2x^ZIQ)3>s#bp{^~Y!Ov=`Of z=4QXKNz!L1NvKRk>j%DeOM0urfJi6V+-GKZ|E)l?AtfrTOGcqw_>P?$Kz>g%eMDVMRdH?I&j7pS9_enYsRcf56CN2&B0{1vuC;!*P0J~wPQQ-^(0u<3sJUn zYPN!ij{-OgnlI4a%-|WKf$2%+oMDoL`m(SZW)pH0 z6i|VM5i*kIef*bP>5#(xN;i*MQ#Up$B&2wsuBHqVEqm5&$fEp#tzV9c3(3fU8#YYA zybcF_QXpo@{1KD9X==RYQB)UUdr3w{AY*OK`2IH5RJYdqw1g3oM0~I32G|_m2w7h4 zheBdAIGIDK5$g!|o9|8?kPM(hLXN<^nOP6;u4MvIkWXOcBWt&P5+3F)2bo&`rfv5; z(p5F)^^LWGYq6Hln}&=lw^P<~lK1lJGuNr1kon7ysQE$n?)R~`?nM+QzI|MaQUGDIl z?v&#JFsKc7BHuc1yOsd!0tc2?K#PjaSf#QJ`Gd-JWc^PshRdpq&vgom-trYlRF z1&@{LXL_ix^Lz|XmG`lT&pb^fBYwRL{q!3n?5pFc13Y?j*FO`gl{yTi6}!@=3PEJ&p5 zdMYVYUrykA=!~>3ZCHwaw)_Wy!JFr=f@`%se}UMo4uXJjW6RAv7BjZl=kQUn$!Kxc zljH$wG8YPZqF6QuI}v4Hqz;K( z<~+|)oO7Ct4I*tBR`4ayX{^m@kA>uP{6}d=v}ndS7XbI`LoqDY35q? zMPC*1$9KgnR5j^xu`Va`h8jD)>yzoptYA2c~~o$Z^a&)1PC>4HN}1`x5_iUY6W0j zAxct8y*PlB6W)~Nz94H4gASXb9i(15Z&6ID?)8?qH+?HS6)PUINm4&i=hel=WN%&^9Go|Len=zbkYk&-O)r**UUSS5*;8x-Bfcfy1(PZ>C?GAUBuMX{HY3g zJtN-?@`wvT_Hz;`(B{8&}NcP{BshKlw-z_+P{u#>9TuwrM4_>w~9Z{2IKX4h2LM)1I*o~ zN801ZIktf8f-y@Hc^)rimutLxHbp0o7^t_R|3b`}ADDfN^z>-%$f7IX_57gotERVU z>9$eJMP@Xze2jr(I*=aX)Wq&OfE-q9jeo54LX;jw)7h-u8lI!ft4AvFS4x7tSNax6 z!QKZlGBRxYf<#I~l_d9NcYC>uFa3CfDyK3~Sj-~b9`+JtbpD~u6{RINa@Nvy4O1oA zW*WX2VJ*$_pGjRg#(4&%VV)dB(>@xXzGqZ<< ziOCVksVBk3gOc;PsE##&ADUD3*s?pFw6^cq(d1G0*ihp~ZQct2gE_Tgf5s~%mR@Fy zS+Q67vv?u9M_DP7;>O`ck++Ikuaqy%Tr1DDUwjr7Wj=TOWNLu~vxLOU6A}`HspW+c ztjm4pTznlF{1Um6@SYMNwZ-Hzr+8zYQ3?uP-eSa> zt(M9^K3*c|5eLAzb>s)Fawj61UI2=hR{9$KAP2kS`NbX`q*K~{7-R= z6q!61UMs?_+CTtg%qv&!;p)eVvyQcdl@j%opALY+dwiH$pb=fUugvU{l&o*hJclEJ zEeQWF5Gh_lc9xd@bOjM@PNyZr*nnzN@IzjekJc$JYk_%B!mgdjtg(V%V>zU`J(hgm zFn_VSdgAz_hgWoog3nXi*6tLy0IU&S&PkbrnM;ce^0?hn1Qfci;pE3yZEVx@;zN*h zxt@Dx-k&X1cZ>*E2w$EkD-pG8p7xBSxP0GBm=1>h*j=2BHMC=3vB=S9+ z)38$!$zSGBE*=X+C=U^&?m*3Ch$%#;DEW@FB4_c#O2%;*Uo+*j(H1UEIu87LeqgjRzYiXM z^)<4h4?$`fT*~jt*Y-lv`>;{gqc&b=N%8qY1BwgJJD%<3LGPwSkxw!>q0p`U(M7A- zsa<;rx}78W1_3Cs1NbSoI+r_K1s#_zYs55Eu^WdaYbS~CL=1gDDR8ax-41dVp~%ci zeJx(LPBBeB(Lq2G-IwTCvUB@K~kkmX;j+>ajX^C`c*dT z9Ij2N-7e*eAI!DV*`oG1pL{wj(mATU6REpIEf5)6nRT>9#kgrM7aL($o1EfF9==s( zpZ0)@kpCmVW#)lWu}H8)*UW<>PA3sWT%l*98NX>05Pos9xpaysNZhuYjMf zCMPx`2!I6#8_mx~--N`T2F%5bKLKv;iW4?%$5A2IE4B$J zGiT{uRg8LT30-a+<;{Q04uX6&%rz9l=K?W=Twb&pFAp=|x^2xJKP=l3#*9@(_`pe&@*_F+qB(FJ+b3> z_8afjkO@J{iIOydub{DZA(F|%_)_& zmh(q>cxVvA;MZz~GFZ4$R-)~RDn5RhCN%zJVtiFG<%(epqe9Zp_i*kGX!laE?AICJ zZd{+l60v{4jHH`+a;>!}-00-ZIAc+*ICT6Nz*|7EwEs3y=86GzC)2|zm?%*cS(;c{ zlL6uDMmRu6n_l!LzfH8|wG4BNW<-24ce|9okgv6Qmz$V2oeX?=!09T#+Nl{t2_%Gl zhV}DBzq`SA?jiJh$dzwA*Y78m3Y|+*-Lx6G1hHX7Y~qQar==A=fZE?s5EQ?dFddS} z(s0BSyB);Tgj!%F(5^-y(d;tE+uW0)kZyn|vp4^6`D^rxC9GKVbjV@Fw39AJdG634 zKqumy<~c2}H7NG?_9y7&d4X~oIhcP~E)JSLRlrbPQodn=Wp#~0{V{Z~D$qPn*1F0e z$R%!H<}Yi1aA-yK>WK<$1yTw7I6hfvv|`#$X-S=LmDG!F21VWEGbmqLfRE&0kEf2ZEl6?^Wn>_emA z^t^vX!9ZQM1w;F_N_*&o){rOgMq!zhIoA1W2y%U&FSD898b^@lppkoCP4*FBHV-TH zD57-IGNmhJpfFhBlh@_x4e-@}XS5-)XJ>j9kFRQL)&63&)nZXC*VsE4{yQ~#WjIZG z2Z9W4&EKjvI{5K=TFeO0N@c8NP`V+c`9@e}C3aCEKJ^x+R}R7D^g!nV7E(NJE>aBP zt>e}_lxthRDPcj{(9j|MUFv2qj+c5Aq3_WW8eond3I6n4dMWo>z-D$}!n68{_|DkJ z?V$r`Jyx9BntEtZ{wS*-5K&z>bZwAVky7`(YhJrP4kx>{>4#U!Y^>!K&pm8@+R2t` zSChoi$+(#T!soAR2d*ZYii&+T>xBkT{~zb=`7XM<^Sim7F>rI^hq@C1cS_vS7Um(2 zd^=|M*gAPSSxvdPX}0<=9o&^w-s#DV1K!rw#>tvlEB9~l<~M5RTG~6!q-Jl+rT&@T zmKEP6cjv9RHZ>CK1oJa*;`1|Dh(G&AK3+Se+Wk5WcFBDQtj`{-{Cgs}Z=Y@d zg;6WAv`%GKzY5Eonh-`1`Q0wN-*@nRmczOvTkgcZZt{kNlyVd-PngBlE9{o`CXD@L z-TkYd9qwG%fJpPfmNX7)-EL^S_{@QKdA==FiQsw|Sl4%8glP+d_9#cb3+kzyQ($L! zGumxltEV&g1lE`?QHWdF7E-X-aO?-p>+J_ZQaZZLX#_A^_X9|*(W@9MWVw|eSKSKu zQVTo^XX$09w?p$R2%-SDyrpnl=zce3^@eUK*xznt*dEjiP10weNxg$%dt<~}o5A{- zG`z?BKEb2#hWT*>@dusIvb$r2}4?Ojh9{D@EeM+ z$O2?Z4al+Zf>i#=nz$&bXHtg>1sK5_|H1l1q``LW_{E<`kSw?{Z*yns)dt8p#WHQs zy-|X*8hsRn4va%TdZ`s-=HgaxjDM80wD4ZIgnBZZ!RqHQexbv}M$eM03J z0h9$Ylmc?vQVT=tRjHYb-0aS zNom2J$95h(lS%aDDgn>^TZ7t}syU~Z)>k*cLrtr8g#WlGwRE+^Yk3T%Lp>L<)}2iI zMa2Uqq1fw!0tuW&D+9Mu^h5XYTyC@sCu+yX$aVJfT1>G1 z7t{pWcjc<(E_@+eFc?0)G1-maRIJr4zAFzGmr6JB_hnc#6FWpYc8LHsa$ag~p)a@$ zuE(rBG9t!CW_2G;OQg02MF>$GqqlBB!D7?%zM#~PXCAHgB|JOh$>l~!@khN*Oq|Cp z=RXO1e<{rpoeZ}dsEWK^;5K{P{NTaC+Ps=tb@eP!fFy?+q;yCv!~Kbl5hZFPHA;6I zlny(;;Dx%TzW@~fQB(H|GcfJZ$uLqBU!7^7O<}w<-XEc-J4=xGEAh=cy<%Ml9@{aE zfA>6H#G+*vT6LAe=;b)bqw@_>NTQ$%(6C$yxqTlpBNgm zV%Xu-Zh1mTNVPHoVk4hhS&Tp;%h-Ii;_qYS&4gFi{=JAWBblfAzbdXm3pW0&B>CTe zLCXzdXaCW4@Oik~MdQhT;W{815E85H|EB^im?I#YPya>(B1{Y}2^B5HRUu)WCGU&| zAy4`41P!Z2ocsC^U@Gjn5u6NufKuX^j>9S4(5z7e#4Q- ziBxk<8foXQIye{1R490fuXDT2B!pnE8Ex;2^i_<-i!I$5f|?4DwNo3q9`feJjQ_N9 zNERmyZe4YV!GEmb0P%Rw=es^)Qs3ACe1K;5Nuw8DAK_^=x8`gAh|gQIg=onWK?%?W z6S+19ditdynDh|Gq@C|t&nUDE<9|?X`pJeu5Pl0oUYj z3@!53=hJiKUs85xl1s+f_@d$j)ZR$1PI9NRzKfSF#{c>@9P-_K0+@pU(*WL0zYb)SV z{Sc4*|8@ue4~63|mqsN8(fGZ>F@pp3c(hZntwq#`Pb0m{E8oAVkwXEG-4~&nZV22r zAyk&2xY6NkOOPMbLjG2W105iAr$G^we=Ed6E=l<^v;2*uNN?JbU-z4&RPJ_pMfFP` zeE`&s<;K73BeQco_cr~tkP)0Gs3DcP^S8nx9h4>Fjy&G<`w6MFRxE5W8$(?@m~(9!B3VaN-J4&NDocQ zg#Fz)nbf8hPz8qdzm*{&2yLVIV)?vQ3EmRXUQ0uo_&q{uYb0Ma8_?*= zTEaW>p}g8*C7UwWO>EY(4kF;mvuT#?xCL;vSfrM|1rtASW=rl@INM;^*;4Q}eq0~Q zyxModu@6#j_~gE_KzjE4d0=OrvtAAkQdv23ZRUNw57<)B5h#!L7dLpeWh2zZC77~x zm9cq?v$N|?-ex|Q(?uXKQ&wsz+Oq^pYjv%pRt&a+Z$V_RVEER4_G}(zG{bONBHl-B zqV18($n(wm1YDe_i>buF>~;9NMZJbk%Z(~Z=VgnBo06EdCw~0!)3U|`4eAaP_Ig1Ng zeNI1EJH5CIiL$Ebf==R;#oA!}avna2y%(a3tuUc~=3qZ-K;M@{eGBNbiu|i4-J+3v7Ig7JU6H{NQ_`ngs|Q#*D>< zgS~4u#TjZXjr(ZW7Nnsvo(uLB(j4v+Aupi#wrL^=H-}0;F)1&h{tXVRIDi_Y3dfhbli7 zvwu?)K4H6nO;_=kdS}4=q2gJ(=x0Ubx=lHp0yJ6#n*;_0NjLrbYCTvufI>~tCk%3%ZqbTL z`p4R5Py@<`Cow4F;jgvp&|q_d+WOvqR1bobGILI1Ox9lkAPHZG&-GxHf0_SS$qilG zK-2tIpAKDwfz%@8Twf59m|Kvd)zVj)M`nNC}v7!H2 zar(c90e`+G;Q#XlEa42*jh=ma?Z_VX7^RtAf(A{A+ED*uJ$F3zD4Qtm52POY`ucKGR)Q%cDR%aQ(|SGqugNp;?iWci zDOe!ql!U~=370Z4;&4*xqjL{-mSD5HSlE_Z%82j^5JeWw#%62EoOPKL^*OI3rhA|BXTx)5{D~;y=LCz ztj@I?7#bdiLaqEBga7WOFN!QD8cWgoM{8iP5PLq~Ayudso@8gY!mrLPED`XmdaJ|g z2Gvo*FkvBhYIPk)wGO*VzHi;#Z1nU{Sc%^Ug_ZcdeSLkTx^r}q%Z6XL;gvH#Mn|=6 zs=GZe<)x*iwdA|n&&+Ob3YcIEh@DI1qGErVW|E@R{<%Ckk2(Y+Pb@Yp;UyOT>=Cy&ce9ng~qN;?Ch}P z?5Gn^xbNKUkNfuR^Pk64R!OBIg(s|XdN)nSTwZ9>TWvz2td%_P`3e2*LQhiXgcqTM zdls#7%^CkVLgce{tqci{q`Yl~TE~Ok6!LsuId{y%?j>w@K&{tY1}Q^oIfFEUCy$`p z7-vKlD^h4h1@h-BaLT>l6*wXWmz0@{ii$|l^ZDGmqyY6b;ieyuYE|xNo_j^-d8BZ4 z%(`q)isEV?qw0>nJP5XwH0VtpWM0jIlZA!CTUM`yUMRf9@3P3Y?q=;??wTipfmf_v z$^N3yif-F)sLd(3p?wTxWw39}K`a<|w5^qxM`iSKZA}hZR2tTSXHvk}W?OZx zxtrGnDI0Ywa3Fwt_wCb|jClPM8#(|~D2PX6PwhM)x@)a=6l?8izEU2uQhu94^^Eei z>7VN-t30obrR0qVpl8HyGpkF_7b$xB2{%F>O6p2pR7yN3h{x$9SAX&!WrBw~Kw`<%!_s@jL;m!o>k2x*eENI3J{C;F+Ml)lu|U zl=Zd(KKmm;I?GOoiJ6l_HK7_a5S3BVXF9LrD7t81U_b(OC~zf4@*t{js$r5)P5SSz z68gHr-Gqa+SzTRaCa+MSfRh;j$_IUDP?xT z099?mV^GX?@TGGpyx~fJb!nDlj-NBPZBP^uwtcF+pMt*T2zB(`z6I~tv7_Xoo`mqBaCu(!AO8T^e>1JNrF$|SJ^S!Cbdy?%7w3q_<#{7NPLO>(G}ii(OYLC3iS zjUB)hcF=Yo%UYAp6g+v!?@}2YZtw@zUs?bkYwz~>^&*4+#g{k=n~&-Xm;O4vi{Kj| Oa_6terpVm5{r>= X @

- 
fit = np.linalg.lstsq(X, Energies, rcond =None)[0]
+  
fit = np.linalg.lstsq(X, y, rcond =None)[0]
 ytildenp = np.dot(fit,X.T)
diff --git a/doc/pub/week35/html/._week35-bs019.html b/doc/pub/week35/html/._week35-bs019.html index e0d876efa..ff299233e 100644 --- a/doc/pub/week35/html/._week35-bs019.html +++ b/doc/pub/week35/html/._week35-bs019.html @@ -404,7 +404,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f
- 
print(R2(Energies,ytilde))
+  
print(R2(y,ytilde))
@@ -432,7 +432,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde))
@@ -458,7 +458,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f 
def RelativeError(y_data,y_model):
     return abs((y_data-y_model)/y_data)
-print(RelativeError(Energies, ytilde))
+print(RelativeError(y, ytilde))
diff --git a/doc/pub/week35/html/._week35-bs034.html b/doc/pub/week35/html/._week35-bs034.html index 150c5f0d4..318fa76a0 100644 --- a/doc/pub/week35/html/._week35-bs034.html +++ b/doc/pub/week35/html/._week35-bs034.html @@ -371,9 +371,9 @@ MathJax.Hub.Config({

Keep in mind that when you transform your data set before training a model, the same transformation needs to be done on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows +(note that the lines are commented since the model function has not been defined)

-
@@ -387,12 +387,12 @@ X_train = X_train = y_train - y_train_mean # The we fit our model with the training data -trained_model = some_model.fit(X_train,y_train) +#trained_model = some_model.fit(X_train,y_train) #Model prediction, we need also to transform our data set used for the prediction. X_test = X_test - X_train_mean #Use mean from training data -y_pred = trained_model(X_test) +#y_pred = trained_model(X_test) y_pred = y_pred + y_train_mean
diff --git a/doc/pub/week35/html/week35-reveal.html b/doc/pub/week35/html/week35-reveal.html index 1551dccac..cb595855f 100644 --- a/doc/pub/week35/html/week35-reveal.html +++ b/doc/pub/week35/html/week35-reveal.html @@ -866,7 +866,7 @@ ytilde = X @ beta
- 
fit = np.linalg.lstsq(X, Energies, rcond =None)[0]
+  
fit = np.linalg.lstsq(X, y, rcond =None)[0]
 ytildenp = np.dot(fit,X.T)
@@ -922,7 +922,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f
- 
print(R2(Energies,ytilde))
+  
print(R2(y,ytilde))
@@ -950,7 +950,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde))
@@ -976,7 +976,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f 
def RelativeError(y_data,y_model):
     return abs((y_data-y_model)/y_data)
-print(RelativeError(Energies, ytilde))
+print(RelativeError(y, ytilde))
@@ -1594,9 +1594,9 @@ This can clearly lead to problems in evaluating the cost/loss functions.

Keep in mind that when you transform your data set before training a model, the same transformation needs to be done on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows +(note that the lines are commented since the model function has not been defined)

-
@@ -1610,12 +1610,12 @@ X_train = X_train - X_train_mean y_train = y_train - y_train_mean # The we fit our model with the training data -trained_model = some_model.fit(X_train,y_train) +#trained_model = some_model.fit(X_train,y_train) #Model prediction, we need also to transform our data set used for the prediction. X_test = X_test - X_train_mean #Use mean from training data -y_pred = trained_model(X_test) +#y_pred = trained_model(X_test) y_pred = y_pred + y_train_mean
diff --git a/doc/pub/week35/html/week35-solarized.html b/doc/pub/week35/html/week35-solarized.html index 399427f2e..9308cb802 100644 --- a/doc/pub/week35/html/week35-solarized.html +++ b/doc/pub/week35/html/week35-solarized.html @@ -876,7 +876,7 @@ ytilde = X @ beta
- 
fit = np.linalg.lstsq(X, Energies, rcond =None)[0]
+  
fit = np.linalg.lstsq(X, y, rcond =None)[0]
 ytildenp = np.dot(fit,X.T)
@@ -932,7 +932,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f
- 
print(R2(Energies,ytilde))
+  
print(R2(y,ytilde))
@@ -960,7 +960,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde))
@@ -986,7 +986,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f 
def RelativeError(y_data,y_model):
     return abs((y_data-y_model)/y_data)
-print(RelativeError(Energies, ytilde))
+print(RelativeError(y, ytilde))
@@ -1593,9 +1593,9 @@ This can clearly lead to problems in evaluating the cost/loss functions.

Keep in mind that when you transform your data set before training a model, the same transformation needs to be done on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows +(note that the lines are commented since the model function has not been defined)

-
@@ -1609,12 +1609,12 @@ X_train = X_train - X_train_mean y_train = y_train - y_train_mean # The we fit our model with the training data -trained_model = some_model.fit(X_train,y_train) +#trained_model = some_model.fit(X_train,y_train) #Model prediction, we need also to transform our data set used for the prediction. X_test = X_test - X_train_mean #Use mean from training data -y_pred = trained_model(X_test) +#y_pred = trained_model(X_test) y_pred = y_pred + y_train_mean
diff --git a/doc/pub/week35/html/week35.html b/doc/pub/week35/html/week35.html index 88ed72166..1d054cbb3 100644 --- a/doc/pub/week35/html/week35.html +++ b/doc/pub/week35/html/week35.html @@ -953,7 +953,7 @@ ytilde = X @
- 
fit = np.linalg.lstsq(X, Energies, rcond =None)[0]
+  
fit = np.linalg.lstsq(X, y, rcond =None)[0]
 ytildenp = np.dot(fit,X.T)
@@ -1009,7 +1009,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f
- 
print(R2(Energies,ytilde))
+  
print(R2(y,ytilde))
@@ -1037,7 +1037,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde))
@@ -1063,7 +1063,7 @@ Since we are not using Scikit-Learn here we can define our own \( R2 \) f 
def RelativeError(y_data,y_model):
     return abs((y_data-y_model)/y_data)
-print(RelativeError(Energies, ytilde))
+print(RelativeError(y, ytilde))
@@ -1670,9 +1670,9 @@ This can clearly lead to problems in evaluating the cost/loss functions.

Keep in mind that when you transform your data set before training a model, the same transformation needs to be done on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows +(note that the lines are commented since the model function has not been defined)

-
@@ -1686,12 +1686,12 @@ X_train = X_train = y_train - y_train_mean # The we fit our model with the training data -trained_model = some_model.fit(X_train,y_train) +#trained_model = some_model.fit(X_train,y_train) #Model prediction, we need also to transform our data set used for the prediction. X_test = X_test - X_train_mean #Use mean from training data -y_pred = trained_model(X_test) +#y_pred = trained_model(X_test) y_pred = y_pred + y_train_mean
diff --git a/doc/pub/week35/ipynb/ipynb-week35-src.tar.gz b/doc/pub/week35/ipynb/ipynb-week35-src.tar.gz index a5fabcd36c70f41c8c67e1866491755cd871b6b0..dd8d64c6588fe792eb9a716d93611da239d4d988 100644 GIT binary patch literal 191 zcmV;w06_mAiwFQDUhHH51MSaE3c@fD1>mlGia9|^P13FfyKo_hc!88oZLCddlA^u6 z{Q+GmZi)!`HjglmFmuS(n_U*Uy9*XW2uT=&G1G)kNmlcF62}~3#!^anN`@kdDW^05 zvfN59opr(tt2EUal|}WgH`L1V!$0#W@XSAPtfYnQzIT;YptQqW>l$u|HRX|PdzC|> t(T*c9c*b%?%+WX@dY~8xjNU*wnO*! z?gR9sco`z}cli?%LUPE~n_U*Uy9*YBhzX@IW}2`maW&VIIA#!2ni6CQA_0sETd@Fe zxszTx>$n+CX{xhOR;YJ#!&q5<*fYNZ&-@d|N?O?Ndsk@%N;{EjUBgX?ny^T=y~?4` u!j3I4;@U|gfU6#OQAj7X;+L>B`eb-xqwv?yc%J8ZUwZ&8^7$G72mk;Z2U$k| diff --git a/doc/pub/week35/ipynb/week35.ipynb b/doc/pub/week35/ipynb/week35.ipynb index 5139bd065..827b5bcb8 100644 --- a/doc/pub/week35/ipynb/week35.ipynb +++ b/doc/pub/week35/ipynb/week35.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "0b8a0ca4", + "id": "838ddf3c", "metadata": { "editable": true }, @@ -14,7 +14,7 @@ }, { "cell_type": "markdown", - "id": "04b82164", + "id": "17b1747e", "metadata": { "editable": true }, @@ -27,7 +27,7 @@ }, { "cell_type": "markdown", - "id": "b4569878", + "id": "85eb10b9", "metadata": { "editable": true }, @@ -49,7 +49,7 @@ }, { "cell_type": "markdown", - "id": "8a651090", + "id": "791bb6f2", "metadata": { "editable": true }, @@ -65,7 +65,7 @@ }, { "cell_type": "markdown", - "id": "5ed41979", + "id": "add64c3b", "metadata": { "editable": true }, @@ -99,7 +99,7 @@ }, { "cell_type": "markdown", - "id": "bac89af1", + "id": "ebd9eb0a", "metadata": { "editable": true }, @@ -115,7 +115,7 @@ }, { "cell_type": "markdown", - "id": "0c42ff8a", + "id": "48190fca", "metadata": { "editable": true }, @@ -127,7 +127,7 @@ }, { "cell_type": "markdown", - "id": "7a45848d", + "id": "a9e68bdb", "metadata": { "editable": true }, @@ -137,7 +137,7 @@ }, { "cell_type": "markdown", - "id": "07ba01c4", + "id": "9cd514cf", "metadata": { "editable": true }, @@ -149,7 +149,7 @@ }, { "cell_type": "markdown", - "id": "335ae896", + "id": "be58abcb", "metadata": { "editable": true }, @@ -170,7 +170,7 @@ }, { "cell_type": "markdown", - "id": "2e4fcb2a", + "id": "65c81ad7", "metadata": { "editable": true }, @@ -182,7 +182,7 @@ }, { "cell_type": "markdown", - "id": "12dc5709", + "id": "d06dd2df", "metadata": { "editable": true }, @@ -195,7 +195,7 @@ }, { "cell_type": "markdown", - "id": "c3480a1c", + "id": "2b242f4c", "metadata": { "editable": true }, @@ -207,7 +207,7 @@ }, { "cell_type": "markdown", - "id": "90295c79", + "id": "fa4ce919", "metadata": { "editable": true }, @@ -219,7 +219,7 @@ }, { "cell_type": "markdown", - "id": "219f5e30", + "id": "809bddba", "metadata": { "editable": true }, @@ -229,7 +229,7 @@ }, { "cell_type": "markdown", - "id": "1abd132b", + "id": "c13096cd", "metadata": { "editable": true }, @@ -241,7 +241,7 @@ }, { "cell_type": "markdown", - "id": "ec78644f", + "id": "51bf0ce3", "metadata": { "editable": true }, @@ -254,7 +254,7 @@ }, { "cell_type": "markdown", - "id": "04c74624", + "id": "ebdcd499", "metadata": { "editable": true }, @@ -266,7 +266,7 @@ }, { "cell_type": "markdown", - "id": "af25e1c6", + "id": "052a85b8", "metadata": { "editable": true }, @@ -276,7 +276,7 @@ }, { "cell_type": "markdown", - "id": "2125067f", + "id": "7896972c", "metadata": { "editable": true }, @@ -288,7 +288,7 @@ }, { "cell_type": "markdown", - "id": "fce7cbce", + "id": "9cb44c6e", "metadata": { "editable": true }, @@ -300,7 +300,7 @@ }, { "cell_type": "markdown", - "id": "11ee37c4", + "id": "c07d6100", "metadata": { "editable": true }, @@ -311,7 +311,7 @@ }, { "cell_type": "markdown", - "id": "d1dd61e2", + "id": "a9038b2b", "metadata": { "editable": true }, @@ -323,7 +323,7 @@ }, { "cell_type": "markdown", - "id": "f6ac3f1d", + "id": "ee219eaa", "metadata": { "editable": true }, @@ -342,7 +342,7 @@ }, { "cell_type": "markdown", - "id": "e62b9a8e", + "id": "4b483278", "metadata": { "editable": true }, @@ -355,7 +355,7 @@ }, { "cell_type": "markdown", - "id": "25564459", + "id": "0c3695c7", "metadata": { "editable": true }, @@ -365,7 +365,7 @@ }, { "cell_type": "markdown", - "id": "4826fa0c", + "id": "31f3f261", "metadata": { "editable": true }, @@ -377,7 +377,7 @@ }, { "cell_type": "markdown", - "id": "ad91cfea", + "id": "8a16a039", "metadata": { "editable": true }, @@ -387,7 +387,7 @@ }, { "cell_type": "markdown", - "id": "334c4b5c", + "id": "1cae8e04", "metadata": { "editable": true }, @@ -399,7 +399,7 @@ }, { "cell_type": "markdown", - "id": "d37069d0", + "id": "79352075", "metadata": { "editable": true }, @@ -409,7 +409,7 @@ }, { "cell_type": "markdown", - "id": "baf3d564", + "id": "0ccf5e17", "metadata": { "editable": true }, @@ -421,7 +421,7 @@ }, { "cell_type": "markdown", - "id": "50787505", + "id": "3986d65c", "metadata": { "editable": true }, @@ -432,7 +432,7 @@ }, { "cell_type": "markdown", - "id": "7f360392", + "id": "aa1d71ae", "metadata": { "editable": true }, @@ -444,7 +444,7 @@ }, { "cell_type": "markdown", - "id": "028cf8d2", + "id": "30f9467b", "metadata": { "editable": true }, @@ -454,7 +454,7 @@ }, { "cell_type": "markdown", - "id": "3b53ffda", + "id": "ff88b45c", "metadata": { "editable": true }, @@ -466,7 +466,7 @@ }, { "cell_type": "markdown", - "id": "65ff8127", + "id": "2b200f18", "metadata": { "editable": true }, @@ -476,7 +476,7 @@ }, { "cell_type": "markdown", - "id": "e1d9050c", + "id": "e976c578", "metadata": { "editable": true }, @@ -488,7 +488,7 @@ }, { "cell_type": "markdown", - "id": "8e9fce23", + "id": "7a53072f", "metadata": { "editable": true }, @@ -508,7 +508,7 @@ }, { "cell_type": "markdown", - "id": "a749fab8", + "id": "b254dabb", "metadata": { "editable": true }, @@ -535,7 +535,7 @@ }, { "cell_type": "markdown", - "id": "6881afbf", + "id": "59c29834", "metadata": { "editable": true }, @@ -547,7 +547,7 @@ }, { "cell_type": "markdown", - "id": "9c2fb92f", + "id": "a2dd4402", "metadata": { "editable": true }, @@ -559,7 +559,7 @@ }, { "cell_type": "markdown", - "id": "d6d835d5", + "id": "251d409a", "metadata": { "editable": true }, @@ -575,7 +575,7 @@ }, { "cell_type": "markdown", - "id": "fed1c91b", + "id": "a86432c8", "metadata": { "editable": true }, @@ -593,7 +593,7 @@ }, { "cell_type": "markdown", - "id": "7d1dfcf8", + "id": "f52757b7", "metadata": { "editable": true }, @@ -605,7 +605,7 @@ }, { "cell_type": "markdown", - "id": "bc898e72", + "id": "c2295ece", "metadata": { "editable": true }, @@ -617,7 +617,7 @@ }, { "cell_type": "markdown", - "id": "0f280d98", + "id": "01dbc04e", "metadata": { "editable": true }, @@ -628,7 +628,7 @@ }, { "cell_type": "markdown", - "id": "e5f930a8", + "id": "2f513341", "metadata": { "editable": true }, @@ -640,7 +640,7 @@ }, { "cell_type": "markdown", - "id": "0e0cb390", + "id": "c41bbc8f", "metadata": { "editable": true }, @@ -650,7 +650,7 @@ }, { "cell_type": "markdown", - "id": "c9a5f03a", + "id": "5a64d3aa", "metadata": { "editable": true }, @@ -662,7 +662,7 @@ }, { "cell_type": "markdown", - "id": "932bc862", + "id": "3e0766a7", "metadata": { "editable": true }, @@ -676,7 +676,7 @@ }, { "cell_type": "markdown", - "id": "0ca4b0d9", + "id": "2317828c", "metadata": { "editable": true }, @@ -688,7 +688,7 @@ }, { "cell_type": "markdown", - "id": "63e2dad1", + "id": "f32112c9", "metadata": { "editable": true }, @@ -700,7 +700,7 @@ }, { "cell_type": "markdown", - "id": "64ecbf35", + "id": "f638dc03", "metadata": { "editable": true }, @@ -712,7 +712,7 @@ }, { "cell_type": "markdown", - "id": "92c17ad7", + "id": "4e5be62b", "metadata": { "editable": true }, @@ -722,7 +722,7 @@ }, { "cell_type": "markdown", - "id": "2a69e7f9", + "id": "d7cb2146", "metadata": { "editable": true }, @@ -734,7 +734,7 @@ }, { "cell_type": "markdown", - "id": "9b5936bb", + "id": "11d5122b", "metadata": { "editable": true }, @@ -744,7 +744,7 @@ }, { "cell_type": "markdown", - "id": "5bfa3f58", + "id": "a3ab7ada", "metadata": { "editable": true }, @@ -756,7 +756,7 @@ }, { "cell_type": "markdown", - "id": "38584971", + "id": "2484de20", "metadata": { "editable": true }, @@ -770,7 +770,7 @@ }, { "cell_type": "markdown", - "id": "5eaa19f8", + "id": "c05c9882", "metadata": { "editable": true }, @@ -782,7 +782,7 @@ }, { "cell_type": "markdown", - "id": "3b257952", + "id": "af6d440c", "metadata": { "editable": true }, @@ -794,7 +794,7 @@ }, { "cell_type": "markdown", - "id": "cd62fd4a", + "id": "49a54935", "metadata": { "editable": true }, @@ -806,7 +806,7 @@ }, { "cell_type": "markdown", - "id": "63201b06", + "id": "3e1e1f54", "metadata": { "editable": true }, @@ -816,7 +816,7 @@ }, { "cell_type": "markdown", - "id": "44bcd980", + "id": "e84f7a76", "metadata": { "editable": true }, @@ -828,7 +828,7 @@ }, { "cell_type": "markdown", - "id": "c69cb929", + "id": "3b454236", "metadata": { "editable": true }, @@ -838,7 +838,7 @@ }, { "cell_type": "markdown", - "id": "d0209cbb", + "id": "1c9967bd", "metadata": { "editable": true }, @@ -850,7 +850,7 @@ }, { "cell_type": "markdown", - "id": "85c2a9b1", + "id": "e1d22d0a", "metadata": { "editable": true }, @@ -860,7 +860,7 @@ }, { "cell_type": "markdown", - "id": "05ab900a", + "id": "e9f8f1b1", "metadata": { "editable": true }, @@ -872,7 +872,7 @@ }, { "cell_type": "markdown", - "id": "f8c87433", + "id": "2d68b18d", "metadata": { "editable": true }, @@ -884,7 +884,7 @@ }, { "cell_type": "markdown", - "id": "d8d58be6", + "id": "f08a6a3d", "metadata": { "editable": true }, @@ -896,7 +896,7 @@ }, { "cell_type": "markdown", - "id": "cd5493d2", + "id": "f28182b8", "metadata": { "editable": true }, @@ -911,7 +911,7 @@ }, { "cell_type": "markdown", - "id": "69c57766", + "id": "810fa811", "metadata": { "editable": true }, @@ -923,7 +923,7 @@ }, { "cell_type": "markdown", - "id": "1592a99e", + "id": "bab53421", "metadata": { "editable": true }, @@ -933,7 +933,7 @@ }, { "cell_type": "markdown", - "id": "18378073", + "id": "c678d9e7", "metadata": { "editable": true }, @@ -945,7 +945,7 @@ }, { "cell_type": "markdown", - "id": "0833d084", + "id": "18229648", "metadata": { "editable": true }, @@ -955,7 +955,7 @@ }, { "cell_type": "markdown", - "id": "07f35361", + "id": "14d11135", "metadata": { "editable": true }, @@ -967,7 +967,7 @@ }, { "cell_type": "markdown", - "id": "3a96219f", + "id": "65afc99b", "metadata": { "editable": true }, @@ -977,7 +977,7 @@ }, { "cell_type": "markdown", - "id": "2f0e8ebf", + "id": "b99c12c8", "metadata": { "editable": true }, @@ -989,7 +989,7 @@ }, { "cell_type": "markdown", - "id": "323e987a", + "id": "1d4aeb96", "metadata": { "editable": true }, @@ -1001,7 +1001,7 @@ }, { "cell_type": "markdown", - "id": "4cfaf887", + "id": "32dfb2e7", "metadata": { "editable": true }, @@ -1013,7 +1013,7 @@ }, { "cell_type": "markdown", - "id": "6288d6fe", + "id": "e22b8175", "metadata": { "editable": true }, @@ -1023,7 +1023,7 @@ }, { "cell_type": "markdown", - "id": "878ffa04", + "id": "0c7e59c7", "metadata": { "editable": true }, @@ -1035,7 +1035,7 @@ }, { "cell_type": "markdown", - "id": "efe2818a", + "id": "4929c5e0", "metadata": { "editable": true }, @@ -1048,7 +1048,7 @@ }, { "cell_type": "markdown", - "id": "016b7005", + "id": "a88784a2", "metadata": { "editable": true }, @@ -1060,7 +1060,7 @@ }, { "cell_type": "markdown", - "id": "47ccce3f", + "id": "afa642b6", "metadata": { "editable": true }, @@ -1070,7 +1070,7 @@ }, { "cell_type": "markdown", - "id": "e25deaf7", + "id": "8e923573", "metadata": { "editable": true }, @@ -1082,7 +1082,7 @@ }, { "cell_type": "markdown", - "id": "ce050c2b", + "id": "b287f486", "metadata": { "editable": true }, @@ -1092,7 +1092,7 @@ }, { "cell_type": "markdown", - "id": "b65cd933", + "id": "62fb0449", "metadata": { "editable": true }, @@ -1104,7 +1104,7 @@ }, { "cell_type": "markdown", - "id": "6bf5c873", + "id": "7c10c892", "metadata": { "editable": true }, @@ -1114,7 +1114,7 @@ }, { "cell_type": "markdown", - "id": "2ad8304d", + "id": "a2243624", "metadata": { "editable": true }, @@ -1126,7 +1126,7 @@ }, { "cell_type": "markdown", - "id": "86e780ca", + "id": "86179096", "metadata": { "editable": true }, @@ -1136,7 +1136,7 @@ }, { "cell_type": "markdown", - "id": "8b76d3f7", + "id": "734e9ab3", "metadata": { "editable": true }, @@ -1148,7 +1148,7 @@ }, { "cell_type": "markdown", - "id": "3a1a52ac", + "id": "6a7d8408", "metadata": { "editable": true }, @@ -1158,7 +1158,7 @@ }, { "cell_type": "markdown", - "id": "da435327", + "id": "c76e567f", "metadata": { "editable": true }, @@ -1170,7 +1170,7 @@ }, { "cell_type": "markdown", - "id": "f44db4df", + "id": "44bd41c3", "metadata": { "editable": true }, @@ -1182,7 +1182,7 @@ }, { "cell_type": "markdown", - "id": "819c0e66", + "id": "0f392fc5", "metadata": { "editable": true }, @@ -1194,7 +1194,7 @@ }, { "cell_type": "markdown", - "id": "510a011e", + "id": "f24b8c67", "metadata": { "editable": true }, @@ -1206,7 +1206,7 @@ }, { "cell_type": "markdown", - "id": "fcd571ce", + "id": "e00f0b5e", "metadata": { "editable": true }, @@ -1218,7 +1218,7 @@ }, { "cell_type": "markdown", - "id": "b2515b95", + "id": "f927497d", "metadata": { "editable": true }, @@ -1234,7 +1234,7 @@ }, { "cell_type": "markdown", - "id": "1ccfd4c9", + "id": "6f902139", "metadata": { "editable": true }, @@ -1246,7 +1246,7 @@ }, { "cell_type": "markdown", - "id": "6f868746", + "id": "beea1f44", "metadata": { "editable": true }, @@ -1256,7 +1256,7 @@ }, { "cell_type": "markdown", - "id": "541d352f", + "id": "90f1d577", "metadata": { "editable": true }, @@ -1268,7 +1268,7 @@ }, { "cell_type": "markdown", - "id": "92874dd6", + "id": "837b7e3c", "metadata": { "editable": true }, @@ -1286,7 +1286,7 @@ }, { "cell_type": "markdown", - "id": "19159246", + "id": "c626fb3e", "metadata": { "editable": true }, @@ -1298,7 +1298,7 @@ }, { "cell_type": "markdown", - "id": "ed39ed6b", + "id": "547f4bd1", "metadata": { "editable": true }, @@ -1310,7 +1310,7 @@ }, { "cell_type": "markdown", - "id": "8adde242", + "id": "6231fe95", "metadata": { "editable": true }, @@ -1320,7 +1320,7 @@ }, { "cell_type": "markdown", - "id": "f1e3f1c2", + "id": "915171e1", "metadata": { "editable": true }, @@ -1332,7 +1332,7 @@ }, { "cell_type": "markdown", - "id": "39960290", + "id": "9c4d56a7", "metadata": { "editable": true }, @@ -1342,7 +1342,7 @@ }, { "cell_type": "markdown", - "id": "db52e3e6", + "id": "6b8febad", "metadata": { "editable": true }, @@ -1354,7 +1354,7 @@ }, { "cell_type": "markdown", - "id": "e3d6ac8b", + "id": "37f1fb3a", "metadata": { "editable": true }, @@ -1364,7 +1364,7 @@ }, { "cell_type": "markdown", - "id": "e4b30664", + "id": "7f09606f", "metadata": { "editable": true }, @@ -1378,7 +1378,7 @@ }, { "cell_type": "markdown", - "id": "4cbc0c2c", + "id": "2bb47473", "metadata": { "editable": true }, @@ -1390,7 +1390,7 @@ }, { "cell_type": "markdown", - "id": "5eebcce6", + "id": "dc24ee16", "metadata": { "editable": true }, @@ -1401,7 +1401,7 @@ }, { "cell_type": "markdown", - "id": "47074a74", + "id": "2b6bf8b8", "metadata": { "editable": true }, @@ -1414,7 +1414,7 @@ { "cell_type": "code", "execution_count": 1, - "id": "ebc41f6f", + "id": "9b4a9b35", "metadata": { "collapsed": false, "editable": true @@ -1441,7 +1441,7 @@ }, { "cell_type": "markdown", - "id": "8ea9846d", + "id": "6920c1ce", "metadata": { "editable": true }, @@ -1452,20 +1452,20 @@ { "cell_type": "code", "execution_count": 2, - "id": "e996841a", + "id": "718f1e7a", "metadata": { "collapsed": false, "editable": true }, "outputs": [], "source": [ - "fit = np.linalg.lstsq(X, Energies, rcond =None)[0]\n", + "fit = np.linalg.lstsq(X, y, rcond =None)[0]\n", "ytildenp = np.dot(fit,X.T)" ] }, { "cell_type": "markdown", - "id": "39f01129", + "id": "302e5daa", "metadata": { "editable": true }, @@ -1479,7 +1479,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "12e52de5", + "id": "8c5ffff3", "metadata": { "collapsed": false, "editable": true @@ -1492,7 +1492,7 @@ }, { "cell_type": "markdown", - "id": "8a0cc628", + "id": "f7dd7bbc", "metadata": { "editable": true }, @@ -1503,19 +1503,19 @@ { "cell_type": "code", "execution_count": 4, - "id": "8c1508b7", + "id": "ec43e44d", "metadata": { "collapsed": false, "editable": true }, "outputs": [], "source": [ - "print(R2(Energies,ytilde))" + "print(R2(y,ytilde))" ] }, { "cell_type": "markdown", - "id": "a3f2f3b1", + "id": "9a26e527", "metadata": { "editable": true }, @@ -1526,7 +1526,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "334780f0", + "id": "1d0fe746", "metadata": { "collapsed": false, "editable": true @@ -1537,12 +1537,12 @@ " n = np.size(y_model)\n", " return np.sum((y_data-y_model)**2)/n\n", "\n", - "print(MSE(Energies,ytilde))" + "print(MSE(y,ytilde))" ] }, { "cell_type": "markdown", - "id": "1f7cfede", + "id": "abe54d75", "metadata": { "editable": true }, @@ -1553,7 +1553,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "1579c506", + "id": "4872598b", "metadata": { "collapsed": false, "editable": true @@ -1562,12 +1562,12 @@ "source": [ "def RelativeError(y_data,y_model):\n", " return abs((y_data-y_model)/y_data)\n", - "print(RelativeError(Energies, ytilde))" + "print(RelativeError(y, ytilde))" ] }, { "cell_type": "markdown", - "id": "88c6c130", + "id": "cd49debc", "metadata": { "editable": true }, @@ -1588,7 +1588,7 @@ }, { "cell_type": "markdown", - "id": "af0baf7f", + "id": "feb6c8a9", "metadata": { "editable": true }, @@ -1599,7 +1599,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "89aa39b5", + "id": "f795be3f", "metadata": { "collapsed": false, "editable": true @@ -1652,7 +1652,7 @@ }, { "cell_type": "markdown", - "id": "1d86c024", + "id": "c1dcacdd", "metadata": { "editable": true }, @@ -1663,7 +1663,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "2ba16c25", + "id": "bb65da2f", "metadata": { "collapsed": false, "editable": true @@ -1688,7 +1688,7 @@ }, { "cell_type": "markdown", - "id": "8e363f00", + "id": "d0f15172", "metadata": { "editable": true }, @@ -1700,7 +1700,7 @@ }, { "cell_type": "markdown", - "id": "d5ef1be0", + "id": "27edcf08", "metadata": { "editable": true }, @@ -1729,7 +1729,7 @@ }, { "cell_type": "markdown", - "id": "7165f38b", + "id": "09b707cb", "metadata": { "editable": true }, @@ -1754,7 +1754,7 @@ }, { "cell_type": "markdown", - "id": "baea18ad", + "id": "d8258039", "metadata": { "editable": true }, @@ -1774,7 +1774,7 @@ }, { "cell_type": "markdown", - "id": "830be0f9", + "id": "5e673f10", "metadata": { "editable": true }, @@ -1801,7 +1801,7 @@ }, { "cell_type": "markdown", - "id": "72473f2c", + "id": "e1e7c077", "metadata": { "editable": true }, @@ -1814,7 +1814,7 @@ }, { "cell_type": "markdown", - "id": "ad92637f", + "id": "1bc7d9f5", "metadata": { "editable": true }, @@ -1826,7 +1826,7 @@ }, { "cell_type": "markdown", - "id": "928978ac", + "id": "38a02d71", "metadata": { "editable": true }, @@ -1837,7 +1837,7 @@ }, { "cell_type": "markdown", - "id": "31b09189", + "id": "bafdab3d", "metadata": { "editable": true }, @@ -1853,7 +1853,7 @@ { "cell_type": "code", "execution_count": 9, - "id": "c09e81a9", + "id": "294b590a", "metadata": { "collapsed": false, "editable": true @@ -1887,7 +1887,7 @@ }, { "cell_type": "markdown", - "id": "8ffeb0f1", + "id": "850c6ed7", "metadata": { "editable": true }, @@ -1897,7 +1897,7 @@ }, { "cell_type": "markdown", - "id": "2b1f32da", + "id": "b12c577b", "metadata": { "editable": true }, @@ -1912,7 +1912,7 @@ }, { "cell_type": "markdown", - "id": "3c2f9703", + "id": "9b14e6b2", "metadata": { "editable": true }, @@ -1924,7 +1924,7 @@ }, { "cell_type": "markdown", - "id": "15382f87", + "id": "e1cc06ab", "metadata": { "editable": true }, @@ -1934,7 +1934,7 @@ }, { "cell_type": "markdown", - "id": "a04fe6a8", + "id": "a0015d80", "metadata": { "editable": true }, @@ -1950,7 +1950,7 @@ { "cell_type": "code", "execution_count": 10, - "id": "de5a8426", + "id": "724d55a7", "metadata": { "collapsed": false, "editable": true @@ -1967,7 +1967,7 @@ }, { "cell_type": "markdown", - "id": "815c116c", + "id": "1fea5895", "metadata": { "editable": true }, @@ -1980,7 +1980,7 @@ { "cell_type": "code", "execution_count": 11, - "id": "c9049720", + "id": "faef60d3", "metadata": { "collapsed": false, "editable": true @@ -2027,7 +2027,7 @@ }, { "cell_type": "markdown", - "id": "c6fb36f0", + "id": "1890cfb6", "metadata": { "editable": true }, @@ -2038,7 +2038,7 @@ { "cell_type": "code", "execution_count": 12, - "id": "d02afd53", + "id": "2da1b274", "metadata": { "collapsed": false, "editable": true @@ -2141,7 +2141,7 @@ }, { "cell_type": "markdown", - "id": "4d3d0315", + "id": "d22da0ce", "metadata": { "editable": true }, @@ -2169,7 +2169,7 @@ }, { "cell_type": "markdown", - "id": "1bf26037", + "id": "22d39bed", "metadata": { "editable": true }, @@ -2204,7 +2204,7 @@ }, { "cell_type": "markdown", - "id": "1a9303d9", + "id": "318d5501", "metadata": { "editable": true }, @@ -2212,13 +2212,14 @@ "## Still thinking\n", "\n", "Keep in mind that when you transform your data set before training a model, the same transformation needs to be done\n", - "on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows" + "on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows\n", + "(note that the lines are commented since the model function has not been defined)" ] }, { "cell_type": "code", "execution_count": 13, - "id": "add41c28", + "id": "ef5c6851", "metadata": { "collapsed": false, "editable": true @@ -2232,18 +2233,18 @@ "y_train = y_train - y_train_mean\n", "\n", "# The we fit our model with the training data\n", - "trained_model = some_model.fit(X_train,y_train)\n", + "#trained_model = some_model.fit(X_train,y_train)\n", "\n", "\n", "#Model prediction, we need also to transform our data set used for the prediction.\n", "X_test = X_test - X_train_mean #Use mean from training data\n", - "y_pred = trained_model(X_test)\n", + "#y_pred = trained_model(X_test)\n", "y_pred = y_pred + y_train_mean" ] }, { "cell_type": "markdown", - "id": "cbad62c2", + "id": "ead7dac2", "metadata": { "editable": true }, @@ -2259,7 +2260,7 @@ }, { "cell_type": "markdown", - "id": "77b3f4a0", + "id": "00912cf1", "metadata": { "editable": true }, @@ -2271,7 +2272,7 @@ }, { "cell_type": "markdown", - "id": "2054bdc7", + "id": "c0fea765", "metadata": { "editable": true }, @@ -2286,7 +2287,7 @@ }, { "cell_type": "markdown", - "id": "d7f64d04", + "id": "0f330af0", "metadata": { "editable": true }, @@ -2298,7 +2299,7 @@ }, { "cell_type": "markdown", - "id": "6ebe45a1", + "id": "0063f1ef", "metadata": { "editable": true }, @@ -2308,7 +2309,7 @@ }, { "cell_type": "markdown", - "id": "8cc21b6a", + "id": "150701f3", "metadata": { "editable": true }, @@ -2320,7 +2321,7 @@ }, { "cell_type": "markdown", - "id": "71b87ff9", + "id": "610464ba", "metadata": { "editable": true }, @@ -2330,7 +2331,7 @@ }, { "cell_type": "markdown", - "id": "b15ee5de", + "id": "9953d5f6", "metadata": { "editable": true }, @@ -2342,7 +2343,7 @@ }, { "cell_type": "markdown", - "id": "56e808e5", + "id": "2e8884f7", "metadata": { "editable": true }, @@ -2355,7 +2356,7 @@ }, { "cell_type": "markdown", - "id": "59b1fcf5", + "id": "61c277e8", "metadata": { "editable": true }, @@ -2367,7 +2368,7 @@ }, { "cell_type": "markdown", - "id": "fe9af8e4", + "id": "1222f5a3", "metadata": { "editable": true }, @@ -2377,7 +2378,7 @@ }, { "cell_type": "markdown", - "id": "39d0535d", + "id": "34a214bc", "metadata": { "editable": true }, @@ -2389,7 +2390,7 @@ }, { "cell_type": "markdown", - "id": "b05e083e", + "id": "7caaea7b", "metadata": { "editable": true }, @@ -2399,7 +2400,7 @@ }, { "cell_type": "markdown", - "id": "255d5f87", + "id": "edb19ced", "metadata": { "editable": true }, @@ -2411,7 +2412,7 @@ }, { "cell_type": "markdown", - "id": "863f9c03", + "id": "e1702b6a", "metadata": { "editable": true }, @@ -2421,7 +2422,7 @@ }, { "cell_type": "markdown", - "id": "fe1719c8", + "id": "27f88d49", "metadata": { "editable": true }, @@ -2433,7 +2434,7 @@ }, { "cell_type": "markdown", - "id": "11bf9275", + "id": "a5a8eb56", "metadata": { "editable": true }, @@ -2443,7 +2444,7 @@ }, { "cell_type": "markdown", - "id": "58a73e37", + "id": "79df257f", "metadata": { "editable": true }, @@ -2455,7 +2456,7 @@ }, { "cell_type": "markdown", - "id": "2ee6e0ab", + "id": "0507e2db", "metadata": { "editable": true }, @@ -2465,7 +2466,7 @@ }, { "cell_type": "markdown", - "id": "4aa55bc2", + "id": "3cd0e008", "metadata": { "editable": true }, @@ -2477,7 +2478,7 @@ }, { "cell_type": "markdown", - "id": "e7dd951c", + "id": "aeb2df6c", "metadata": { "editable": true }, @@ -2487,7 +2488,7 @@ }, { "cell_type": "markdown", - "id": "b0b56f12", + "id": "c2895f0c", "metadata": { "editable": true }, @@ -2499,7 +2500,7 @@ }, { "cell_type": "markdown", - "id": "2fa4cfc7", + "id": "0f9bcdef", "metadata": { "editable": true }, @@ -2511,7 +2512,7 @@ }, { "cell_type": "markdown", - "id": "cc6fe7e2", + "id": "5cce6012", "metadata": { "editable": true }, @@ -2523,7 +2524,7 @@ }, { "cell_type": "markdown", - "id": "d121682c", + "id": "9fefc43f", "metadata": { "editable": true }, @@ -2536,7 +2537,7 @@ }, { "cell_type": "markdown", - "id": "94aef78e", + "id": "1ab1590a", "metadata": { "editable": true }, @@ -2548,7 +2549,7 @@ }, { "cell_type": "markdown", - "id": "8d595a8d", + "id": "6aca143e", "metadata": { "editable": true }, @@ -2558,7 +2559,7 @@ }, { "cell_type": "markdown", - "id": "67d81f01", + "id": "0600266f", "metadata": { "editable": true }, @@ -2572,7 +2573,7 @@ { "cell_type": "code", "execution_count": 14, - "id": "39da9a38", + "id": "226e69de", "metadata": { "collapsed": false, "editable": true @@ -2669,7 +2670,7 @@ }, { "cell_type": "markdown", - "id": "257ce2f2", + "id": "9213cccf", "metadata": { "editable": true }, @@ -2690,7 +2691,7 @@ }, { "cell_type": "markdown", - "id": "3769097f", + "id": "b3cfb0e6", "metadata": { "editable": true }, @@ -2702,7 +2703,7 @@ }, { "cell_type": "markdown", - "id": "82fc22ad", + "id": "97ae99f6", "metadata": { "editable": true }, @@ -2712,7 +2713,7 @@ }, { "cell_type": "markdown", - "id": "dea71d52", + "id": "d4fffebc", "metadata": { "editable": true }, @@ -2724,7 +2725,7 @@ }, { "cell_type": "markdown", - "id": "113f6e87", + "id": "ba5ce507", "metadata": { "editable": true }, @@ -2734,7 +2735,7 @@ }, { "cell_type": "markdown", - "id": "1e3b78e5", + "id": "1bef4ab0", "metadata": { "editable": true }, @@ -2746,7 +2747,7 @@ }, { "cell_type": "markdown", - "id": "d936547b", + "id": "7af18264", "metadata": { "editable": true }, @@ -2762,7 +2763,7 @@ }, { "cell_type": "markdown", - "id": "7c57b1e6", + "id": "e56bf1a5", "metadata": { "editable": true }, @@ -2806,7 +2807,7 @@ }, { "cell_type": "markdown", - "id": "41d26913", + "id": "27ec7b5d", "metadata": { "editable": true }, @@ -2818,7 +2819,7 @@ { "cell_type": "code", "execution_count": 15, - "id": "bf2d2a51", + "id": "0cd3f8ad", "metadata": { "collapsed": false, "editable": true @@ -2834,7 +2835,7 @@ }, { "cell_type": "markdown", - "id": "d7d26ad9", + "id": "f3dfac97", "metadata": { "editable": true }, @@ -2845,7 +2846,7 @@ { "cell_type": "code", "execution_count": 16, - "id": "7b725195", + "id": "3bf63b2c", "metadata": { "collapsed": false, "editable": true @@ -2863,7 +2864,7 @@ }, { "cell_type": "markdown", - "id": "4b578dbb", + "id": "50d878e1", "metadata": { "editable": true }, @@ -2874,7 +2875,7 @@ { "cell_type": "code", "execution_count": 17, - "id": "670a51a0", + "id": "c97bd84c", "metadata": { "collapsed": false, "editable": true @@ -2888,7 +2889,7 @@ }, { "cell_type": "markdown", - "id": "ad921def", + "id": "1c352f56", "metadata": { "editable": true }, @@ -2899,7 +2900,7 @@ { "cell_type": "code", "execution_count": 18, - "id": "2d0a0044", + "id": "3af4a28f", "metadata": { "collapsed": false, "editable": true @@ -2912,7 +2913,7 @@ }, { "cell_type": "markdown", - "id": "8ec52805", + "id": "5b7915d7", "metadata": { "editable": true }, @@ -2923,7 +2924,7 @@ { "cell_type": "code", "execution_count": 19, - "id": "a7648df4", + "id": "8fa83210", "metadata": { "collapsed": false, "editable": true @@ -2940,7 +2941,7 @@ }, { "cell_type": "markdown", - "id": "8e911148", + "id": "66252887", "metadata": { "editable": true }, @@ -2951,7 +2952,7 @@ { "cell_type": "code", "execution_count": 20, - "id": "4420c7f9", + "id": "3f5592ff", "metadata": { "collapsed": false, "editable": true @@ -2967,7 +2968,7 @@ }, { "cell_type": "markdown", - "id": "b7580acd", + "id": "9c736212", "metadata": { "editable": true }, @@ -2978,7 +2979,7 @@ { "cell_type": "code", "execution_count": 21, - "id": "2a0930b1", + "id": "a5bce93f", "metadata": { "collapsed": false, "editable": true @@ -3002,7 +3003,7 @@ }, { "cell_type": "markdown", - "id": "49423ebd", + "id": "14f7841e", "metadata": { "editable": true }, @@ -3013,7 +3014,7 @@ { "cell_type": "code", "execution_count": 22, - "id": "5841e8ee", + "id": "4833ba51", "metadata": { "collapsed": false, "editable": true @@ -3026,7 +3027,7 @@ }, { "cell_type": "markdown", - "id": "de1c7a1d", + "id": "70cd6f55", "metadata": { "editable": true }, @@ -3037,7 +3038,7 @@ { "cell_type": "code", "execution_count": 23, - "id": "8d3ce90a", + "id": "d49e02fd", "metadata": { "collapsed": false, "editable": true @@ -3057,7 +3058,7 @@ }, { "cell_type": "markdown", - "id": "b243c849", + "id": "d9d04195", "metadata": { "editable": true }, @@ -3068,7 +3069,7 @@ { "cell_type": "code", "execution_count": 24, - "id": "83abda14", + "id": "c0ad295c", "metadata": { "collapsed": false, "editable": true @@ -3111,7 +3112,7 @@ { "cell_type": "code", "execution_count": 25, - "id": "c1bda3a1", + "id": "d13d09f4", "metadata": { "collapsed": false, "editable": true @@ -3126,7 +3127,7 @@ }, { "cell_type": "markdown", - "id": "494e99e1", + "id": "cc3450eb", "metadata": { "editable": true }, @@ -3136,7 +3137,7 @@ }, { "cell_type": "markdown", - "id": "d496f2b6", + "id": "7fb81b2b", "metadata": { "editable": true }, @@ -3150,7 +3151,7 @@ }, { "cell_type": "markdown", - "id": "617544ab", + "id": "8a6c5791", "metadata": { "editable": true }, @@ -3162,7 +3163,7 @@ }, { "cell_type": "markdown", - "id": "deb3a5c0", + "id": "cb0f6ee4", "metadata": { "editable": true }, @@ -3174,7 +3175,7 @@ }, { "cell_type": "markdown", - "id": "1e29d04b", + "id": "de9ae3b5", "metadata": { "editable": true }, @@ -3186,7 +3187,7 @@ }, { "cell_type": "markdown", - "id": "e7f06cd3", + "id": "819d0d3e", "metadata": { "editable": true }, @@ -3196,7 +3197,7 @@ }, { "cell_type": "markdown", - "id": "61fbb179", + "id": "c793ecc3", "metadata": { "editable": true }, @@ -3208,7 +3209,7 @@ }, { "cell_type": "markdown", - "id": "715d0808", + "id": "d9f77aa9", "metadata": { "editable": true }, @@ -3218,7 +3219,7 @@ }, { "cell_type": "markdown", - "id": "e9af9b81", + "id": "5e2de101", "metadata": { "editable": true }, @@ -3230,7 +3231,7 @@ }, { "cell_type": "markdown", - "id": "ce0a6494", + "id": "a20db730", "metadata": { "editable": true }, @@ -3241,7 +3242,7 @@ }, { "cell_type": "markdown", - "id": "a9680e79", + "id": "b5a36020", "metadata": { "editable": true }, @@ -3253,7 +3254,7 @@ }, { "cell_type": "markdown", - "id": "77b2c7f1", + "id": "a472cb0c", "metadata": { "editable": true }, @@ -3265,7 +3266,7 @@ }, { "cell_type": "markdown", - "id": "00bc0981", + "id": "6fd733f2", "metadata": { "editable": true }, @@ -3275,7 +3276,7 @@ }, { "cell_type": "markdown", - "id": "a5870049", + "id": "89c04844", "metadata": { "editable": true }, @@ -3287,7 +3288,7 @@ }, { "cell_type": "markdown", - "id": "8f53c1ca", + "id": "84c75cdb", "metadata": { "editable": true }, @@ -3299,7 +3300,7 @@ }, { "cell_type": "markdown", - "id": "ac5e957f", + "id": "afe05d8e", "metadata": { "editable": true }, @@ -3309,7 +3310,7 @@ }, { "cell_type": "markdown", - "id": "b949e361", + "id": "690c8d0f", "metadata": { "editable": true }, @@ -3321,7 +3322,7 @@ }, { "cell_type": "markdown", - "id": "bf9ebc2b", + "id": "89db317c", "metadata": { "editable": true }, @@ -3331,7 +3332,7 @@ }, { "cell_type": "markdown", - "id": "8f15c266", + "id": "99c23fd7", "metadata": { "editable": true }, @@ -3343,7 +3344,7 @@ }, { "cell_type": "markdown", - "id": "4f791b65", + "id": "3b2888f7", "metadata": { "editable": true }, @@ -3353,7 +3354,7 @@ }, { "cell_type": "markdown", - "id": "e8017b1c", + "id": "92138431", "metadata": { "editable": true }, @@ -3393,7 +3394,7 @@ }, { "cell_type": "markdown", - "id": "2996bc1f", + "id": "dc5944b2", "metadata": { "editable": true }, @@ -3410,7 +3411,7 @@ }, { "cell_type": "markdown", - "id": "2b6b0946", + "id": "7b505cdb", "metadata": { "editable": true }, @@ -3433,7 +3434,7 @@ }, { "cell_type": "markdown", - "id": "93e7e61f", + "id": "be293d2a", "metadata": { "editable": true }, @@ -3450,7 +3451,7 @@ }, { "cell_type": "markdown", - "id": "fe419623", + "id": "3bc83bb8", "metadata": { "editable": true }, @@ -3469,7 +3470,7 @@ }, { "cell_type": "markdown", - "id": "e2140a9e", + "id": "4ac0b4e7", "metadata": { "editable": true }, @@ -3480,7 +3481,7 @@ }, { "cell_type": "markdown", - "id": "ffcb729e", + "id": "c716f31f", "metadata": { "editable": true }, @@ -3492,7 +3493,7 @@ }, { "cell_type": "markdown", - "id": "5140ddae", + "id": "32ba7049", "metadata": { "editable": true }, @@ -3510,7 +3511,7 @@ }, { "cell_type": "markdown", - "id": "7bb98440", + "id": "50d2e066", "metadata": { "editable": true }, @@ -3526,7 +3527,7 @@ }, { "cell_type": "markdown", - "id": "5611679a", + "id": "49ffe594", "metadata": { "editable": true }, @@ -3538,7 +3539,7 @@ }, { "cell_type": "markdown", - "id": "f32c0eb4", + "id": "d590b9f1", "metadata": { "editable": true }, @@ -3548,7 +3549,7 @@ }, { "cell_type": "markdown", - "id": "415f02af", + "id": "ed99e76d", "metadata": { "editable": true }, @@ -3563,7 +3564,7 @@ }, { "cell_type": "markdown", - "id": "c28567b8", + "id": "c86c70ca", "metadata": { "editable": true }, @@ -3575,7 +3576,7 @@ }, { "cell_type": "markdown", - "id": "936af9ce", + "id": "92f362bd", "metadata": { "editable": true }, @@ -3585,7 +3586,7 @@ }, { "cell_type": "markdown", - "id": "308f2aa4", + "id": "b947d722", "metadata": { "editable": true }, @@ -3597,7 +3598,7 @@ }, { "cell_type": "markdown", - "id": "d74a5600", + "id": "48573eb6", "metadata": { "editable": true }, @@ -3607,7 +3608,7 @@ }, { "cell_type": "markdown", - "id": "3d5f8482", + "id": "90fa4f26", "metadata": { "editable": true }, @@ -3619,7 +3620,7 @@ }, { "cell_type": "markdown", - "id": "b4eaa6e3", + "id": "18a9a6c1", "metadata": { "editable": true }, @@ -3631,7 +3632,7 @@ }, { "cell_type": "markdown", - "id": "0b821498", + "id": "84442c6a", "metadata": { "editable": true }, @@ -3646,7 +3647,7 @@ }, { "cell_type": "markdown", - "id": "d38da336", + "id": "dbaaac22", "metadata": { "editable": true }, @@ -3657,7 +3658,7 @@ }, { "cell_type": "markdown", - "id": "98b0ae03", + "id": "5fac6b95", "metadata": { "editable": true }, @@ -3677,7 +3678,7 @@ }, { "cell_type": "markdown", - "id": "d4ba8f69", + "id": "23536fbf", "metadata": { "editable": true }, @@ -3689,7 +3690,7 @@ }, { "cell_type": "markdown", - "id": "52bb4456", + "id": "d9a27268", "metadata": { "editable": true }, @@ -3699,7 +3700,7 @@ }, { "cell_type": "markdown", - "id": "6ec33a01", + "id": "016c8eec", "metadata": { "editable": true }, @@ -3711,7 +3712,7 @@ }, { "cell_type": "markdown", - "id": "b39cac82", + "id": "e4ce71bc", "metadata": { "editable": true }, @@ -3740,7 +3741,7 @@ }, { "cell_type": "markdown", - "id": "d2595a2e", + "id": "5be6cb84", "metadata": { "editable": true }, @@ -3767,7 +3768,7 @@ }, { "cell_type": "markdown", - "id": "427fb028", + "id": "d14ba489", "metadata": { "editable": true }, @@ -3778,7 +3779,7 @@ { "cell_type": "code", "execution_count": 26, - "id": "0bbd4699", + "id": "dbf16459", "metadata": { "collapsed": false, "editable": true @@ -3818,7 +3819,7 @@ }, { "cell_type": "markdown", - "id": "2430babb", + "id": "ad89e7fb", "metadata": { "editable": true }, @@ -3835,7 +3836,7 @@ }, { "cell_type": "markdown", - "id": "4761f74a", + "id": "1e193edc", "metadata": { "editable": true }, @@ -3858,7 +3859,7 @@ }, { "cell_type": "markdown", - "id": "ffe52fdc", + "id": "95172c4d", "metadata": { "editable": true }, @@ -3872,7 +3873,7 @@ }, { "cell_type": "markdown", - "id": "c810c7eb", + "id": "3ff6f79c", "metadata": { "editable": true }, @@ -3891,7 +3892,7 @@ }, { "cell_type": "markdown", - "id": "fa17e262", + "id": "1ec8d8dd", "metadata": { "editable": true }, @@ -3901,7 +3902,7 @@ }, { "cell_type": "markdown", - "id": "e7411ce2", + "id": "0c8ca808", "metadata": { "editable": true }, @@ -3913,7 +3914,7 @@ }, { "cell_type": "markdown", - "id": "40d9144e", + "id": "3a3509c9", "metadata": { "editable": true }, @@ -3927,7 +3928,7 @@ }, { "cell_type": "markdown", - "id": "28cd0268", + "id": "a4d8b83c", "metadata": { "editable": true }, @@ -3939,7 +3940,7 @@ }, { "cell_type": "markdown", - "id": "e72c1658", + "id": "b29a7c37", "metadata": { "editable": true }, @@ -3949,7 +3950,7 @@ }, { "cell_type": "markdown", - "id": "9e8284ec", + "id": "ede04bd6", "metadata": { "editable": true }, @@ -3961,7 +3962,7 @@ }, { "cell_type": "markdown", - "id": "39c798c9", + "id": "b98dcf9b", "metadata": { "editable": true }, @@ -3978,7 +3979,7 @@ }, { "cell_type": "markdown", - "id": "93cf6fd3", + "id": "43562c74", "metadata": { "editable": true }, @@ -3988,7 +3989,7 @@ }, { "cell_type": "markdown", - "id": "c99559d1", + "id": "bbd63581", "metadata": { "editable": true }, @@ -4004,7 +4005,7 @@ }, { "cell_type": "markdown", - "id": "199187d7", + "id": "b8ae028f", "metadata": { "editable": true }, @@ -4014,7 +4015,7 @@ }, { "cell_type": "markdown", - "id": "164f8c17", + "id": "4f278714", "metadata": { "editable": true }, @@ -4030,7 +4031,7 @@ }, { "cell_type": "markdown", - "id": "5e9fd974", + "id": "73a8abd7", "metadata": { "editable": true }, @@ -4040,7 +4041,7 @@ }, { "cell_type": "markdown", - "id": "8e07a82d", + "id": "bb958405", "metadata": { "editable": true }, @@ -4056,7 +4057,7 @@ }, { "cell_type": "markdown", - "id": "b0bf5db6", + "id": "5d4c44a6", "metadata": { "editable": true }, @@ -4066,7 +4067,7 @@ }, { "cell_type": "markdown", - "id": "aecfc56d", + "id": "801aa550", "metadata": { "editable": true }, @@ -4083,7 +4084,7 @@ }, { "cell_type": "markdown", - "id": "73b4475e", + "id": "65642f1a", "metadata": { "editable": true }, @@ -4095,7 +4096,7 @@ }, { "cell_type": "markdown", - "id": "54057ff8", + "id": "a48c5cd1", "metadata": { "editable": true }, @@ -4107,7 +4108,7 @@ }, { "cell_type": "markdown", - "id": "ff974462", + "id": "da759789", "metadata": { "editable": true }, @@ -4119,7 +4120,7 @@ }, { "cell_type": "markdown", - "id": "e5daa192", + "id": "134025d9", "metadata": { "editable": true }, @@ -4129,7 +4130,7 @@ }, { "cell_type": "markdown", - "id": "dc9f0f7b", + "id": "70d9b4be", "metadata": { "editable": true }, @@ -4141,7 +4142,7 @@ }, { "cell_type": "markdown", - "id": "f9b10560", + "id": "cf77b392", "metadata": { "editable": true }, @@ -4153,7 +4154,7 @@ }, { "cell_type": "markdown", - "id": "66a948a0", + "id": "c255027a", "metadata": { "editable": true }, @@ -4165,7 +4166,7 @@ }, { "cell_type": "markdown", - "id": "55d9dbd1", + "id": "d0b31bf6", "metadata": { "editable": true }, @@ -4175,7 +4176,7 @@ }, { "cell_type": "markdown", - "id": "c2b7da0d", + "id": "0a612558", "metadata": { "editable": true }, @@ -4187,7 +4188,7 @@ }, { "cell_type": "markdown", - "id": "ff1c658b", + "id": "0728614a", "metadata": { "editable": true }, @@ -4197,7 +4198,7 @@ }, { "cell_type": "markdown", - "id": "3d7050b0", + "id": "bb5e5456", "metadata": { "editable": true }, @@ -4209,7 +4210,7 @@ }, { "cell_type": "markdown", - "id": "dced3eca", + "id": "fa670de8", "metadata": { "editable": true }, @@ -4223,7 +4224,7 @@ }, { "cell_type": "markdown", - "id": "44ec48f0", + "id": "84aff359", "metadata": { "editable": true }, @@ -4235,7 +4236,7 @@ }, { "cell_type": "markdown", - "id": "ef5a3989", + "id": "a335c378", "metadata": { "editable": true }, @@ -4247,7 +4248,7 @@ }, { "cell_type": "markdown", - "id": "6d7071a0", + "id": "4d8edf94", "metadata": { "editable": true }, @@ -4257,7 +4258,7 @@ }, { "cell_type": "markdown", - "id": "a37c0651", + "id": "865b7d40", "metadata": { "editable": true }, @@ -4269,7 +4270,7 @@ }, { "cell_type": "markdown", - "id": "9cd481cc", + "id": "f38bf7b3", "metadata": { "editable": true }, @@ -4280,7 +4281,7 @@ }, { "cell_type": "markdown", - "id": "e8cd56b7", + "id": "ad9415b7", "metadata": { "editable": true }, @@ -4292,7 +4293,7 @@ }, { "cell_type": "markdown", - "id": "3a629b1b", + "id": "95c11e25", "metadata": { "editable": true }, @@ -4302,7 +4303,7 @@ }, { "cell_type": "markdown", - "id": "2fbf21c7", + "id": "8548d242", "metadata": { "editable": true }, @@ -4314,7 +4315,7 @@ }, { "cell_type": "markdown", - "id": "5951205a", + "id": "f1db2a77", "metadata": { "editable": true }, @@ -4324,7 +4325,7 @@ }, { "cell_type": "markdown", - "id": "53caa2e2", + "id": "07ea95f3", "metadata": { "editable": true }, @@ -4336,7 +4337,7 @@ }, { "cell_type": "markdown", - "id": "64b903b4", + "id": "db8e4f05", "metadata": { "editable": true }, @@ -4347,7 +4348,7 @@ }, { "cell_type": "markdown", - "id": "df6a66b3", + "id": "7bf990ec", "metadata": { "editable": true }, @@ -4359,7 +4360,7 @@ }, { "cell_type": "markdown", - "id": "ffe2f537", + "id": "2214c64c", "metadata": { "editable": true }, @@ -4377,7 +4378,7 @@ }, { "cell_type": "markdown", - "id": "3c291471", + "id": "a4afcd3b", "metadata": { "editable": true }, @@ -4393,7 +4394,7 @@ }, { "cell_type": "markdown", - "id": "0a3f9a94", + "id": "4b8592eb", "metadata": { "editable": true }, @@ -4405,7 +4406,7 @@ }, { "cell_type": "markdown", - "id": "9e121ab9", + "id": "cccf40cb", "metadata": { "editable": true }, @@ -4417,7 +4418,7 @@ }, { "cell_type": "markdown", - "id": "8af98d79", + "id": "449fb07f", "metadata": { "editable": true }, @@ -4429,7 +4430,7 @@ }, { "cell_type": "markdown", - "id": "f8df9cb1", + "id": "b0635a59", "metadata": { "editable": true }, @@ -4442,7 +4443,7 @@ }, { "cell_type": "markdown", - "id": "19bfd403", + "id": "1a769266", "metadata": { "editable": true }, @@ -4458,7 +4459,7 @@ }, { "cell_type": "markdown", - "id": "c1ec9cb3", + "id": "5ebdd0e3", "metadata": { "editable": true }, @@ -4472,7 +4473,7 @@ }, { "cell_type": "markdown", - "id": "4346796e", + "id": "87f04ca9", "metadata": { "editable": true }, @@ -4482,7 +4483,7 @@ }, { "cell_type": "markdown", - "id": "cda3d8a7", + "id": "30d1ebd7", "metadata": { "editable": true }, @@ -4494,7 +4495,7 @@ }, { "cell_type": "markdown", - "id": "7cf1e6d8", + "id": "85fa8561", "metadata": { "editable": true }, @@ -4504,7 +4505,7 @@ }, { "cell_type": "markdown", - "id": "c783275d", + "id": "03a364b8", "metadata": { "editable": true }, @@ -4516,7 +4517,7 @@ }, { "cell_type": "markdown", - "id": "dac43f32", + "id": "cd318c9f", "metadata": { "editable": true }, @@ -4526,7 +4527,7 @@ }, { "cell_type": "markdown", - "id": "012a62f2", + "id": "b7d368f3", "metadata": { "editable": true }, @@ -4540,7 +4541,7 @@ }, { "cell_type": "markdown", - "id": "f02bf402", + "id": "f805edf9", "metadata": { "editable": true }, @@ -4557,7 +4558,7 @@ }, { "cell_type": "markdown", - "id": "63805f7d", + "id": "6f29c3b9", "metadata": { "editable": true }, @@ -4573,7 +4574,7 @@ }, { "cell_type": "markdown", - "id": "e84b7d85", + "id": "c6ec3fdd", "metadata": { "editable": true }, @@ -4585,7 +4586,7 @@ }, { "cell_type": "markdown", - "id": "3ef0ad9c", + "id": "c6549130", "metadata": { "editable": true }, @@ -4598,7 +4599,7 @@ }, { "cell_type": "markdown", - "id": "5aa2f0f4", + "id": "0c73641f", "metadata": { "editable": true }, @@ -4612,7 +4613,7 @@ }, { "cell_type": "markdown", - "id": "5cedd672", + "id": "c222f306", "metadata": { "editable": true }, @@ -4622,7 +4623,7 @@ }, { "cell_type": "markdown", - "id": "cdb4b214", + "id": "ca81ebca", "metadata": { "editable": true }, @@ -4635,7 +4636,7 @@ }, { "cell_type": "markdown", - "id": "830c23c5", + "id": "ea5c0f35", "metadata": { "editable": true }, @@ -4654,7 +4655,7 @@ }, { "cell_type": "markdown", - "id": "7971e263", + "id": "587a1536", "metadata": { "editable": true }, @@ -4666,7 +4667,7 @@ }, { "cell_type": "markdown", - "id": "aab14206", + "id": "5f043b26", "metadata": { "editable": true }, @@ -4678,7 +4679,7 @@ }, { "cell_type": "markdown", - "id": "27b6b6fc", + "id": "0e3fb598", "metadata": { "editable": true }, @@ -4688,7 +4689,7 @@ }, { "cell_type": "markdown", - "id": "3e702413", + "id": "4954f9cf", "metadata": { "editable": true }, @@ -4700,7 +4701,7 @@ }, { "cell_type": "markdown", - "id": "fd91d200", + "id": "b11c4701", "metadata": { "editable": true }, @@ -4713,7 +4714,7 @@ }, { "cell_type": "markdown", - "id": "35c6dc25", + "id": "778ed0dc", "metadata": { "editable": true }, @@ -4732,7 +4733,7 @@ }, { "cell_type": "markdown", - "id": "e733d668", + "id": "a5056397", "metadata": { "editable": true }, @@ -4742,7 +4743,7 @@ }, { "cell_type": "markdown", - "id": "4feaa7d5", + "id": "77b5e5c7", "metadata": { "editable": true }, @@ -4761,7 +4762,7 @@ }, { "cell_type": "markdown", - "id": "2fd87051", + "id": "30cb9420", "metadata": { "editable": true }, @@ -4779,7 +4780,7 @@ }, { "cell_type": "markdown", - "id": "8a8c7cb0", + "id": "87dc9887", "metadata": { "editable": true }, @@ -4793,7 +4794,7 @@ }, { "cell_type": "markdown", - "id": "b5426cb7", + "id": "17d71f0d", "metadata": { "editable": true }, @@ -4808,7 +4809,7 @@ { "cell_type": "code", "execution_count": 27, - "id": "45d8c427", + "id": "bdd1380c", "metadata": { "collapsed": false, "editable": true @@ -4829,7 +4830,7 @@ }, { "cell_type": "markdown", - "id": "5cb5bc08", + "id": "9682bfbe", "metadata": { "editable": true }, @@ -4846,7 +4847,7 @@ { "cell_type": "code", "execution_count": 28, - "id": "b43fd84d", + "id": "8f3a7094", "metadata": { "collapsed": false, "editable": true @@ -4878,7 +4879,7 @@ }, { "cell_type": "markdown", - "id": "c303e01f", + "id": "c10871ba", "metadata": { "editable": true }, @@ -4892,7 +4893,7 @@ }, { "cell_type": "markdown", - "id": "d56895dd", + "id": "36bba53c", "metadata": { "editable": true }, @@ -4905,7 +4906,7 @@ { "cell_type": "code", "execution_count": 29, - "id": "cfda2184", + "id": "2c15e05c", "metadata": { "collapsed": false, "editable": true @@ -4930,7 +4931,7 @@ }, { "cell_type": "markdown", - "id": "3cec050e", + "id": "73fdc99f", "metadata": { "editable": true }, @@ -4940,7 +4941,7 @@ }, { "cell_type": "markdown", - "id": "8afc4799", + "id": "b2f78b00", "metadata": { "editable": true }, @@ -4951,7 +4952,7 @@ { "cell_type": "code", "execution_count": 30, - "id": "1372e459", + "id": "604062df", "metadata": { "collapsed": false, "editable": true @@ -5005,7 +5006,7 @@ }, { "cell_type": "markdown", - "id": "aed87895", + "id": "8b010db8", "metadata": { "editable": true }, @@ -5022,7 +5023,7 @@ }, { "cell_type": "markdown", - "id": "7e1e5b8d", + "id": "c40a801d", "metadata": { "editable": true }, @@ -5034,7 +5035,7 @@ }, { "cell_type": "markdown", - "id": "b0d462fa", + "id": "969e0f92", "metadata": { "editable": true }, @@ -5046,7 +5047,7 @@ }, { "cell_type": "markdown", - "id": "b8b65150", + "id": "1b87945a", "metadata": { "editable": true }, @@ -5056,7 +5057,7 @@ }, { "cell_type": "markdown", - "id": "7e8f5c1f", + "id": "0e21aef2", "metadata": { "editable": true }, @@ -5073,7 +5074,7 @@ }, { "cell_type": "markdown", - "id": "1cc1396a", + "id": "c7402ba1", "metadata": { "editable": true }, @@ -5083,7 +5084,7 @@ }, { "cell_type": "markdown", - "id": "5df6ba80", + "id": "c2d86cef", "metadata": { "editable": true }, @@ -5098,7 +5099,7 @@ }, { "cell_type": "markdown", - "id": "59e9b6e2", + "id": "356258f2", "metadata": { "editable": true }, @@ -5108,7 +5109,7 @@ }, { "cell_type": "markdown", - "id": "ca2d3f9a", + "id": "a754fe35", "metadata": { "editable": true }, @@ -5122,7 +5123,7 @@ }, { "cell_type": "markdown", - "id": "be78dcbb", + "id": "5da384ce", "metadata": { "editable": true }, @@ -5134,7 +5135,7 @@ }, { "cell_type": "markdown", - "id": "0a45fb7f", + "id": "d946a606", "metadata": { "editable": true }, @@ -5146,7 +5147,7 @@ }, { "cell_type": "markdown", - "id": "8c6fdb24", + "id": "79eef735", "metadata": { "editable": true }, @@ -5158,7 +5159,7 @@ }, { "cell_type": "markdown", - "id": "a419206b", + "id": "01dff8c7", "metadata": { "editable": true }, @@ -5168,7 +5169,7 @@ }, { "cell_type": "markdown", - "id": "765c4cbc", + "id": "49f39457", "metadata": { "editable": true }, @@ -5180,7 +5181,7 @@ }, { "cell_type": "markdown", - "id": "760d01a8", + "id": "ec6f3278", "metadata": { "editable": true }, @@ -5190,7 +5191,7 @@ }, { "cell_type": "markdown", - "id": "a1f8eeea", + "id": "a1061003", "metadata": { "editable": true }, @@ -5207,7 +5208,7 @@ }, { "cell_type": "markdown", - "id": "b6fb003a", + "id": "66cff9c2", "metadata": { "editable": true }, @@ -5217,7 +5218,7 @@ }, { "cell_type": "markdown", - "id": "75e17819", + "id": "0289d760", "metadata": { "editable": true }, @@ -5229,7 +5230,7 @@ }, { "cell_type": "markdown", - "id": "bd29d1d6", + "id": "4b807037", "metadata": { "editable": true }, @@ -5239,7 +5240,7 @@ }, { "cell_type": "markdown", - "id": "150b7923", + "id": "2e21ba54", "metadata": { "editable": true }, @@ -5251,7 +5252,7 @@ }, { "cell_type": "markdown", - "id": "b4ffe151", + "id": "96dac9bc", "metadata": { "editable": true }, @@ -5265,7 +5266,7 @@ }, { "cell_type": "markdown", - "id": "d3ba3779", + "id": "881a3bea", "metadata": { "editable": true }, @@ -5277,7 +5278,7 @@ }, { "cell_type": "markdown", - "id": "512596a9", + "id": "84a164e2", "metadata": { "editable": true }, @@ -5299,7 +5300,7 @@ }, { "cell_type": "markdown", - "id": "7559f882", + "id": "7bd957d9", "metadata": { "editable": true }, @@ -5311,7 +5312,7 @@ }, { "cell_type": "markdown", - "id": "8256f707", + "id": "e9d15eae", "metadata": { "editable": true }, @@ -5326,7 +5327,7 @@ }, { "cell_type": "markdown", - "id": "4302d47f", + "id": "bbbc3b4e", "metadata": { "editable": true }, @@ -5338,7 +5339,7 @@ }, { "cell_type": "markdown", - "id": "b74f22fe", + "id": "62b0fce6", "metadata": { "editable": true }, @@ -5350,7 +5351,7 @@ }, { "cell_type": "markdown", - "id": "343c9a10", + "id": "0aa2e137", "metadata": { "editable": true }, @@ -5360,7 +5361,7 @@ }, { "cell_type": "markdown", - "id": "915796dd", + "id": "fd93daa8", "metadata": { "editable": true }, @@ -5372,7 +5373,7 @@ }, { "cell_type": "markdown", - "id": "0ab8f900", + "id": "6cea7d7f", "metadata": { "editable": true }, @@ -5382,7 +5383,7 @@ }, { "cell_type": "markdown", - "id": "99167153", + "id": "0a05b8d7", "metadata": { "editable": true }, @@ -5394,7 +5395,7 @@ }, { "cell_type": "markdown", - "id": "5d580225", + "id": "655a918b", "metadata": { "editable": true }, @@ -5404,7 +5405,7 @@ }, { "cell_type": "markdown", - "id": "004215af", + "id": "8f6c74f1", "metadata": { "editable": true }, @@ -5416,7 +5417,7 @@ }, { "cell_type": "markdown", - "id": "afa31b73", + "id": "5b9725b2", "metadata": { "editable": true }, @@ -5433,7 +5434,7 @@ }, { "cell_type": "markdown", - "id": "ec4c4745", + "id": "2be4cb9d", "metadata": { "editable": true }, @@ -5446,7 +5447,7 @@ }, { "cell_type": "markdown", - "id": "88eba984", + "id": "dcc582e7", "metadata": { "editable": true }, @@ -5458,7 +5459,7 @@ }, { "cell_type": "markdown", - "id": "b57779ac", + "id": "5a1ed82a", "metadata": { "editable": true }, @@ -5468,7 +5469,7 @@ }, { "cell_type": "markdown", - "id": "a59f4fd5", + "id": "c224353e", "metadata": { "editable": true }, @@ -5481,7 +5482,7 @@ }, { "cell_type": "markdown", - "id": "c79793c8", + "id": "ae79a666", "metadata": { "editable": true }, @@ -5491,7 +5492,7 @@ }, { "cell_type": "markdown", - "id": "4f039e96", + "id": "870f7011", "metadata": { "editable": true }, @@ -5503,7 +5504,7 @@ }, { "cell_type": "markdown", - "id": "737c8a25", + "id": "1ec298b0", "metadata": { "editable": true }, @@ -5516,7 +5517,7 @@ }, { "cell_type": "markdown", - "id": "39aa3132", + "id": "d0c145fd", "metadata": { "editable": true }, @@ -5529,7 +5530,7 @@ }, { "cell_type": "markdown", - "id": "b6cea5b0", + "id": "086c19c7", "metadata": { "editable": true }, @@ -5541,7 +5542,7 @@ }, { "cell_type": "markdown", - "id": "8fa7e834", + "id": "77e6f6ae", "metadata": { "editable": true }, @@ -5553,7 +5554,7 @@ }, { "cell_type": "markdown", - "id": "c7b38950", + "id": "6ea94ce0", "metadata": { "editable": true }, @@ -5563,7 +5564,7 @@ }, { "cell_type": "markdown", - "id": "06878301", + "id": "75fe3e7e", "metadata": { "editable": true }, @@ -5576,7 +5577,7 @@ }, { "cell_type": "markdown", - "id": "fbbf597c", + "id": "b44ad029", "metadata": { "editable": true }, @@ -5588,7 +5589,7 @@ }, { "cell_type": "markdown", - "id": "bf77f613", + "id": "5a6cadf4", "metadata": { "editable": true }, @@ -5600,7 +5601,7 @@ }, { "cell_type": "markdown", - "id": "9fc0cbdb", + "id": "983dd769", "metadata": { "editable": true }, @@ -5612,7 +5613,7 @@ }, { "cell_type": "markdown", - "id": "1d556907", + "id": "670240ea", "metadata": { "editable": true }, @@ -5624,7 +5625,7 @@ }, { "cell_type": "markdown", - "id": "96d0870b", + "id": "21222a56", "metadata": { "editable": true }, @@ -5638,7 +5639,7 @@ }, { "cell_type": "markdown", - "id": "26ef92fd", + "id": "0a6658cf", "metadata": { "editable": true }, @@ -5650,7 +5651,7 @@ }, { "cell_type": "markdown", - "id": "77971ba3", + "id": "11916659", "metadata": { "editable": true }, @@ -5660,7 +5661,7 @@ }, { "cell_type": "markdown", - "id": "cd804d0f", + "id": "f657be21", "metadata": { "editable": true }, @@ -5672,7 +5673,7 @@ }, { "cell_type": "markdown", - "id": "aee042df", + "id": "d97516b8", "metadata": { "editable": true }, @@ -5684,7 +5685,7 @@ }, { "cell_type": "markdown", - "id": "0ed46bde", + "id": "99bd354d", "metadata": { "editable": true }, @@ -5696,7 +5697,7 @@ }, { "cell_type": "markdown", - "id": "8c093c7e", + "id": "90658f5b", "metadata": { "editable": true }, @@ -5708,7 +5709,7 @@ }, { "cell_type": "markdown", - "id": "62af183d", + "id": "fc998d60", "metadata": { "editable": true }, @@ -5720,7 +5721,7 @@ }, { "cell_type": "markdown", - "id": "30a8db83", + "id": "6925d765", "metadata": { "editable": true }, @@ -5739,7 +5740,7 @@ }, { "cell_type": "markdown", - "id": "01faaa97", + "id": "97ff8669", "metadata": { "editable": true }, @@ -5751,7 +5752,7 @@ }, { "cell_type": "markdown", - "id": "672de282", + "id": "bfcb6e0f", "metadata": { "editable": true }, @@ -5761,7 +5762,7 @@ }, { "cell_type": "markdown", - "id": "fe52bfff", + "id": "e2a9c918", "metadata": { "editable": true }, @@ -5773,7 +5774,7 @@ }, { "cell_type": "markdown", - "id": "72b7266d", + "id": "507de073", "metadata": { "editable": true }, @@ -5783,7 +5784,7 @@ }, { "cell_type": "markdown", - "id": "6681e68d", + "id": "06c889f9", "metadata": { "editable": true }, @@ -5795,7 +5796,7 @@ }, { "cell_type": "markdown", - "id": "538bde1b", + "id": "fccfc919", "metadata": { "editable": true }, @@ -5807,7 +5808,7 @@ }, { "cell_type": "markdown", - "id": "c3a6e71e", + "id": "d814818f", "metadata": { "editable": true }, @@ -5823,7 +5824,7 @@ }, { "cell_type": "markdown", - "id": "b59b021d", + "id": "bbcc18c6", "metadata": { "editable": true }, @@ -5835,7 +5836,7 @@ }, { "cell_type": "markdown", - "id": "ffa266f1", + "id": "1487ed01", "metadata": { "editable": true }, @@ -5847,7 +5848,7 @@ }, { "cell_type": "markdown", - "id": "e8e97705", + "id": "f74e089e", "metadata": { "editable": true }, @@ -5857,7 +5858,7 @@ }, { "cell_type": "markdown", - "id": "73c4369a", + "id": "abd8519b", "metadata": { "editable": true }, @@ -5869,7 +5870,7 @@ }, { "cell_type": "markdown", - "id": "7727b4fd", + "id": "14effb67", "metadata": { "editable": true }, @@ -5879,7 +5880,7 @@ }, { "cell_type": "markdown", - "id": "3a3e1873", + "id": "ba6e6ea3", "metadata": { "editable": true }, @@ -5891,7 +5892,7 @@ }, { "cell_type": "markdown", - "id": "d1a8b030", + "id": "78202454", "metadata": { "editable": true }, @@ -5908,7 +5909,7 @@ }, { "cell_type": "markdown", - "id": "b6f25a34", + "id": "f27b566a", "metadata": { "editable": true }, @@ -5920,7 +5921,7 @@ }, { "cell_type": "markdown", - "id": "c22a3a5a", + "id": "5e9449c1", "metadata": { "editable": true }, @@ -5932,7 +5933,7 @@ }, { "cell_type": "markdown", - "id": "9e9b60a5", + "id": "d425f456", "metadata": { "editable": true }, @@ -5942,7 +5943,7 @@ }, { "cell_type": "markdown", - "id": "e253cca2", + "id": "71664ae1", "metadata": { "editable": true }, @@ -5954,7 +5955,7 @@ }, { "cell_type": "markdown", - "id": "ee43ad3e", + "id": "18bc0e49", "metadata": { "editable": true }, @@ -5964,7 +5965,7 @@ }, { "cell_type": "markdown", - "id": "d8f7c38d", + "id": "29b8cc98", "metadata": { "editable": true }, @@ -5976,7 +5977,7 @@ }, { "cell_type": "markdown", - "id": "a06e5ab5", + "id": "a29dc217", "metadata": { "editable": true }, @@ -5986,7 +5987,7 @@ }, { "cell_type": "markdown", - "id": "bfb15d60", + "id": "4d51ed4e", "metadata": { "editable": true }, @@ -5998,7 +5999,7 @@ }, { "cell_type": "markdown", - "id": "4d1210ce", + "id": "c0cca566", "metadata": { "editable": true }, diff --git a/doc/src/week35/week35.do.txt b/doc/src/week35/week35.do.txt index bf131f4a6..dc0033767 100644 --- a/doc/src/week35/week35.do.txt +++ b/doc/src/week35/week35.do.txt @@ -601,7 +601,7 @@ ytilde = X @ beta !ec Alternatively, you can use the least squares functionality in _Numpy_ as !bc pycod -fit = np.linalg.lstsq(X, Energies, rcond =None)[0] +fit = np.linalg.lstsq(X, y, rcond =None)[0] ytildenp = np.dot(fit,X.T) !ec @@ -617,7 +617,7 @@ def R2(y_data, y_model): !ec and we would be using it as !bc pycod -print(R2(Energies,ytilde)) +print(R2(y,ytilde)) !ec We can easily add our _MSE_ score as @@ -626,13 +626,13 @@ def MSE(y_data,y_model): n = np.size(y_model) return np.sum((y_data-y_model)**2)/n -print(MSE(Energies,ytilde)) +print(MSE(y,ytilde)) !ec and finally the relative error as !bc pycod def RelativeError(y_data,y_model): return abs((y_data-y_model)/y_data) -print(RelativeError(Energies, ytilde)) +print(RelativeError(y, ytilde)) !ec @@ -1105,7 +1105,7 @@ This can clearly lead to problems in evaluating the cost/loss functions. Keep in mind that when you transform your data set before training a model, the same transformation needs to be done on your eventual new data set before making a prediction. If we translate this into a Python code, it would could be implemented as follows - +(note that the lines are commented since the model function has not been defined) !bc pycod #Model training, we compute the mean value of y and X y_train_mean = np.mean(y_train) @@ -1114,12 +1114,12 @@ X_train = X_train - X_train_mean y_train = y_train - y_train_mean # The we fit our model with the training data -trained_model = some_model.fit(X_train,y_train) +#trained_model = some_model.fit(X_train,y_train) #Model prediction, we need also to transform our data set used for the prediction. X_test = X_test - X_train_mean #Use mean from training data -y_pred = trained_model(X_test) +#y_pred = trained_model(X_test) y_pred = y_pred + y_train_mean !ec