From 2061bfbaf3bb891c6c9a7888ac00cd16eb2e4fd0 Mon Sep 17 00:00:00 2001 From: "Prof. Truong Son Hy" Date: Wed, 17 Apr 2024 23:42:59 -0400 Subject: [PATCH 1/4] Add files via upload --- Equivariant-Diffusion.png | Bin 0 -> 422515 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 Equivariant-Diffusion.png diff --git a/Equivariant-Diffusion.png b/Equivariant-Diffusion.png new file mode 100644 index 0000000000000000000000000000000000000000..e37cb4c9ad75e659f1464cdb72f7a46bfee30387 GIT binary patch literal 422515 zcmc$`c|6tm-#)IXrfE?#v{7iWBqE6-OB0ntmXKsEWS0=xHPw(dI(CVaea&|4v{@5n z4WTUA$zImq^`e>i%>Dh|-^cyW@B8ik+%x9nob!Hd&*$~LuIu^oR8lxezlM1Y9UUD# zMMhegj&5})9o>qkUw+0b$BRUq@vj~FGRpFFbdH>Kbk}au(M{u}Ydv&yw)^Sm`p(nQ zi3ZZqZMhthb6O04@w1-XNol$T@_&!>qkZtosw))v zqMxFXsJ0AW`Olwg(e3B${`t?vpA1&8cmDggyw}N;F8|kW?O^iuUiGh6jvm;tbHl%0 zxn^+m80)`Yp)0#~lg!J1{Gl#e?eHJ}i67aQGmQTG6`7y^|9_xs2Va_I1hf3~qIYu4zM3qOe6% zjNM?9p+^X3h@_iNO_V(T_wdT(z_~wf-YmuMejn{p2|92w-T3`32S>+X7EZmu0~c>U zdHU3%E3?hDdBD3m|I?@QZvzEhsa1xG=jynAznJ#wdKq;z=TpIo#iud(v#9)O!{U#h zR^wBRTk{;I+wbsS8TyzlJr%DSOD*p&zl@i(k)E-Y2}&^<$tc(RNeI^ z;O+XgoO0#;*Jl_OzcpeL@42;$KZTaExy^>J*|gXA!?Oz%*=?N>6hH^dl!C# zRl?bLQc1bx&$U}>leBXW`;4&1nm4AhcSJtv=`qF#r6T15>QgVisaXGG8yyubqGl|9 z@QyN0g^-vO{gUFGw`FA%Jj2;Pep>0fPg8j1iWNNrjcKAT)9KpHemrO6e!uavM&_kQ z7dA)Sy)^r6WDPyNP;FOLn68jnz3-hncQBU9)PmTa_M$s|A5xx94z-xs?OFT|I=X6+ zAKUCG_3m~NkmN`K8Tt&=^MYLL?GI@l!iHcV32hfA>@qcfjawSl#E ztV%MuaAE#Py(`oE;(OcZyL9p$OHxEC}eopaePmi{f{r9u5{~Kx%jiEuw|=Q zu0h_%Y#THDF1Cwyp3B;edmdkHb2&RVJ)tr)IhbMAz}HM`$-UbD_E1~xT_(W_R=wMI zZr`rPP}kYAxs3l-X5U*HBxq!iq49S8^5^A zjj9nczoor8#&9|RTDr&IYrfv_$0}8O9BOk`dGX=}Efw>tmaOwA!XWP?)-j4h&cF2i z`}b;FSXdG_NPK%fa3LxyCT5RRV@pfRfcKC2pewuiBLH|mX5>=nY0z~Os=bHlKNGL! z((a;`pnlqAW>TnjZnD`j2R|_m@{5Uy)m3`bnP$i(2x^+%ljP+c@bv$4-P*NsDS^9o z?^e08z|Flo|58oAtxT_(cW^hyzSgkV@63t{+zy2i4K_;$n!$s^Y-xh77kvM+O^WLA z@ZrN&$Nt3V)?v(1lEc^+3U$pEzJ%$C{{H$z&2lVw-rUQVFVnB|Dko}YD$LK%=hzJf zACr>m`tl{p`TJ9Ww1H(Y?y?Lub@$-`c%H-gz4bN?3&Fp9X~B!KGEtl%+wcr z$TG>Dep^)2H~sthu5;6-jj56B+&gw0ZF8A=4|#> zukR&LLqO`wXwXqXDDs&N7I7Sp zsZZ8T-ls|Hc^58~W7B;fCwC9U+Rjc5yYx(~GKcuoN1MLJv}kLDynfdto%}c^K|>iT z;*;42yMYe^uY|aD3-TN%2TXXpwjHYUjuEtKe=S`U+NzToYsI3hsjBKLeCcBhPVt+z zHeI8t&@-5pkdTnh-rm?<$8X12brhSvfAS}@kSY6}BE4w`%AF~riom!t@lgtoL@CtD zFv;X>n{Lyh+naJOf4=_HPd|0Gw?Dy#i^Ch4_n$v{n^!(GaHcw8rV9fNmUJt?CVtXU z;>E+udunKCXs>d_t)>jKXiQ-2sh|VYh{E}4xow9orBAR3n+J||SA`99FU7Nn9XyM> z^yp7{`T2=db4e_UEX`$M^bLQ#O?M?n&K%Y`Vda{Q`(HCQD9+D*Pi%9YNfZ(l6@4*x zLRxz3G@@>;X@*83_DVgKLyprvAsf+h?Ahi{1@7N@ri9IAz%qZr zADdcZ;ai8-3a^VP>Ipua@&^Vi>*CI+@$)C!&xl}YC8v9yO6yKZd8|M8P{_+#^6qqw{Js9Kr3fVJTo9Rkdjc6S>unn0 z$NrQq(Z*`_PYyQAi}R;wccfo-E4~|R*;b$yUuXJA+=*8A_U*nGfj9t0F5kXhxZW+q zoqXr@$ADOu!jJh*4NYlARV$|YJ39?n1P$*BiHUs_z3_6yD;f?d$MjOT+hK9OOk;5h ze@)(f@_tWsq?~)sNx?N79`{*}#2LSTvYNJ*p8gD`VjOeYk5%z(nwscuAQ5+>=e<;T zcsS+01tuU)x3EAVOybe`X3fk?y+vDe)8Bpz_^9kOJJwxw79pBZ3{zKkWH|3>tV*;j z^~>9b(U|)l{Ci~b&i(uKfdcvmZN5~j&_9==_or!nLah8lVGfgZzyJQb<5bJliQ;XR z?BAWa0`89I$X7L7K#n%8j_|y{U4+^rf%vY9lay}VRetcQPIdL%_tFT8&q4dI=aFpL zx7N&lA3Kw4XVH>nwYyAT@e;Rfp;n&#>4Jg+jXZm+>lV9r@1A&nlCAg8EjmgD1`&rBC@8?IkuJku@a;+X5E9eqP5N4b7?2muTPN-+seemZDeGm`MuF7tS(gC zY2(I??3B^3UzHvTTd1b!9Tz!rq#rqFx+_5U%0%CpSFRshT5S7jxi{@mdajmfP{uI# zy*rE=@%8IvHW{i|$muu!`_9BD?QF?+I&0RDR0j~SuB7t8 zZVx`)f&_%75=U)?P_bB9zr9TU({F=?;zh3xB{)v>l{GhO^6~LGe*N^veOB=}WIofX zP;qw`b>7Wn60oyrb=sJ6V2>2`UTm@Hxv4gbW)j*q@6-5Dj?ns^Cpk}#=ZJ_1lYjBu z{wlNHIopTK4WA$MHzaSnuZ?HYE^t0q_8BK3PCezx&hPOu4|es{#RtTx#_m#7R6Kt2 zWIsMvqtG?qf1jpdRsoVj9g?n|%e|;^2hTy~=s#x!4NoEFzDH!YC>fuasQdc)RabvM z4;F$&^ok6QN`0`9*}9on<;dH1Lm#=%o^4Ps3H5C_t~d0iHb)mB{>;-8^p6f(y}Xo% z=~Zq_y|{^qDfX4e2DA51j*B{sMkLBl4m581_1E(}!_AqB7}Rfzdq?JEMd*_ylpSG# zJTA-|7I5V1kgC^b%tEGSdoto{eeTua;->l5e5ZN|m+21^OouLMg_PXN_6=v%%(1GC zIbDD4+BNl=yoq{EJD1}7EZe%Ruxdue5BYT^YD(A|KJ43k$M)sT)%EY*DdkFF?J_iX zjlNezSWS?e8&^pv2^O)5s?$r^+Ef)J$W@t=Xt2c~ju#naD@YPDSYk%!&*Kml|FuuE)W|8)#^ueolTwhX? zV{LWXbBhgI!>o$f%S0W=jm-=U3=(F-4q1k3Yv~u?^|Tq_&Nr}-ZQ+-4UzgInP#deF zuk9|nYuC%^7pvG_J4l>M-Arcc+PKFLpz&*R;Ob-8q>6PNZCO^Y`Vc{HUHJ6;j}%Vf z*W=|p$y=v!L^S!eb2geaXE6vxDTal9vTDk-wCqudl=VB@%qg^!U#J+<5-tC5^YHx4 z)Uahk34qRY37gyN=47X-A$JMjw>udvWjPz*C_EIF?<)68^V_{^*Ej+!`}7A)QG;1>zW@2$ z2fI%)m!I@vm7nUE8X2Kn9?;IYk`fPC^f36K34>+f79IN+N)k3-P9+SgC25)LxjNjc zjj57Voo&gn74%KkEewruE#n}dY|PesUX%Lm0q?ogJ&K`Xt0#MFqP;$T{HXfu{O>}> z@19>4uYT!3SvzHP3Lj97NXuY;$o#{8GCgYR*Q}|=)KL%4clv&udQ%Z3h%;isgY6~@ zD6VjM!Lo3U2H0TG^rL_*`)A1soE4Gt=Z$ro1+ru+w=DP`g|B6(YpAQMzkk2Bm)pC?zgu6vwV-$skR>y|A8`Eo4BzP|H^ZG5=I7L# zGfZkutlh#_n`PBen|sxge*5A5@4FL`-Q2B>jbjkU8Cw=iE@GoQ7ObcG@|@*s9!BEv z6b(Q@@g5I;rK^0CMN7_^G{d*DDnP3r!vyHrB*acHxII(nWfr{>6JA+W#s413rOc&} zS39Rx$+bT*lOeQlrvrVzhGL;2GCi>ZB!Y8Jn(y5*i!M~?Hu@nVR+4hI^5mb z`t7X$R{SL3D;L1WVn(Gnry9PEyS<60IJYg!m-pNON{NG(s;X)Zt6Pd*5rcULAo^K_ z3hT!T3fyCNdw{?*tU6A(eEaMXcQ!e+<*t6Lkf5faTT7H5FjRbUf$1I(50Cy=8zfaf zzx?w|qJ~iZ%usGq>cux1Gu022>^he;uFg)G90jc z)%vaFm>9X*19e`941XX1R3p|*6p z>g%Vd4^V$&G+j6xUl*KI66V_(d@|JT#Pip;ZruWC_qYNS{z$~;1Y&<(W15leXeWi> zlOnIMtwEn{AF?LB+C9-%SEFf}9|_d)@=^jyO@PLk@iMNkJ(xbzru5h*nngSUb=jLY zJY^-aiDT6Ip(=oE&TOyD%uHZ#OCDVmmO`erGAUd2eQ+Fs$=7uu=yQlf0mVo3i7f5K zGOvHauAG5Rw)JtKIysGCSrTg$P|&QIoE4{Wh1OtG@EdT`@L_MNqXLatl31hBvD z^JPY|j7=_>mgP}PP`Z5iS>xx|Ji7}o)zsM9f9x#t!9>T7bd;22uP{4$^cpFxHu0#T z=sXR4SBKaYMYCv*iXEeF92A9+VtWt zwm}DLBcu#U4$IQ(?|BS^s zi&KfdznNbr4Adn{lelp9wor<#^XKjMO|mJPTXUTGzxX#Y@Gyb zZ+dp&1}R8TWtIf-8WuZHa+C>kZGsA^))Jq?;!a*7BJ$SIz-+PN-_Gd6JidRAc=SBhh4apJ`%0tYmCJ? zLt5|!0yDho%DRP_*;L~r(_l_yL%+8-O7>Wc&v7_^YUB3p2`KGNQLax~6SWi4_&&@K0Ex zc~i=DrT7d~~GQl^;j?Li7CGOqj7qA?hZka^OeBUKM}d z17qK?{|;U(-zcRGI5bfuxex>3HNts>QvK-2)qy@`Gw#y6S6ZsaY-Mg^A>%H-@t;Om zx1FDL*r%PNDq`KaKmA;~@#&}|{GPVozJ6xU*syx_dn8+ni%1&>E|v$1-;Ms#-*2{u zP0W6OnVkG^TVdP4g~g+AEn51=BFHEa&<+Afs-@@s(@mQ;O}w7Dix~55q=Viz+qz2` zrJH#dN^@raUJUUMyW!SH5gh|9xefcBe6W51(0VV=oyw^Y!yu>nfvMed@C@7h*WFVz zUww=sf7d~osW&IGyMM=Az_$#y1=qRp8b!y2xv31)J1b^Lki@X3@gn^Mf`8fmZjNm2 zd`BTl+6$!2x~~gf2=05Y4t+G-&=I?dUq=fZWvbuu<;ydG(WR#ruv7Hq>z8V--nBo7 z=n!Bl`V=8+LMl zUpNl9aRvp85Re}!)IEo`+0fD+KYqNaJNPbe!E_>aeT13L1`XK z$=GtWDc!`-V+q{<&5G|hjiVe*ro4}kqKJN64zWcDbTKqSR36=9Z@LnXxRP>pEr$~r^t+k=fpZWy|h z2s?XcY)93ehJ8ZGQnJQK2;q4KWmM^^qlDs-%Er%3U-BYua;rr3;DoQHVV6Gi=hHUj zIU*_=_0TPVp#ue`aGnGh!9;`wi5IStvtMtxe(&0n_G&5R{Z0LQ@2RY;oc`>=*7@a& zVa&p(8yjjPD2#)RX{d`xh)ik+V(|&D0toY<+UdxiNQNPXCec1WUB|Ro3sd4i9KDI8+LQg zS+@M=9uRPMCvrf}m`#uOI`&2eRIFc;71$a7qMx7m@$2f~;Q0Vxg}dU1IBdPX+SsRx zl5?tVvm+j)4hA1tjxdYesRk8D6=cIc-GYyo3NaIBI*RYpGW1 z2D6%xvj<_)eG<5$9^hIvUTq(aQ=QuIz(4{{Oe4p}DBB?0S%jgppuE@FTIP+oBb;tA zQ+@;D{-9yS*2P0%B{_r&F{OSBulhTs0>_ECU}1|mvIlj6^b*p7IM|7U*m2m@}D|v>`>5tLXyy6U;32D8TobO}7I0N~yxR$%i{* z5AN9`BWPIh%*kcTUR9Ye*Xh{C3tYKVtxi?@pPGY3JaKpHPBu2Sdu)LCiz)H zLV{VsIqS2tc%@!Sp!oL1nC30L*-W{?caid?3u?s!0Oj)|st?Cbc64?|fWkBe&R9`UZhq4Vi!cBWdqqQpkAK&jdi_=2HWsZbe@aF>HPV}sYX?o2((q18g5g3)&{WG zH8^O&6Tq!Y&lAKsS!vbapu!iGO|MM{0#86L!dlNL?s4(%?O0?=%OvZ@C{ z$J?wQXwu9D*l)`$?36>n0uaPOqS+i4djhn+ zDMT?Odp{EBW^oUHpc&49C1-}JGpyO&#($3!E1 zu?#T)d3F<+8jt~D1X&`dHFI=0I5?PquS%)>6!crAoVAs;bv2F*eVGj=matq`K0RLs zod@9A6eaTrXGi2!LLg!Kgf4%2zQQQ`4M;G{5pD`(r$3lWK7s&!A#vXGwz$LHMGAZ|!R_BVw&IOmy9N zZw*ku1#)-|!;%ahFqKGN{&aK>9FY~D$?UCwfB+q*K_M1NS1oWz{=ir$+l&M0-=OfU zZ2ZM(yl1DRq@*98cGIQir=8hce!nGYnreIaw&UbrEGD2k9EY;IJ9~PzTF!v!?t}7N z1HG;m&}5yH4%NrY%WFNGL;?cf>mcbbgM*1x5;Lce@yK5^?u)QV4nHy;F*va^b=ScNejO0infNl3`O{qIl@o@1UN0B;ld~ zSOUT>VEpT6sgqCi&J!ExK(_xCHE|jbp!UxCT8ZnIJG$Ngu^?HPdU)#KuNgi z@0yQ1B5eNQF;X@U0-uhK4tW-57niP2&js5@tgc=?ivlQO!JoE%!v@9ue=Kd0h<*Pk z;SBr2Z{}50m}W>=jdqbSA!KM~D}^7+asHm#D78ccQC@f4TAViggZ%~+l~|;5Q{+-a z({Nxdj+|k_RCY!1^{-$2z3QL2(*BnEckG7R7+o16@)RnSF@W;kbEy%~r2NlI#sf&J zL^BhlZ7_Lx@vYAp&%6Jv?o)rqE}`!tfB{>7_2f1%8$^HQ$<4}&L8WTAfxrUKji7Yw zexbW|@Go5uFH(O8h2bY?q@ej75yNq^(Fn;YPQ5UqCBrNLhcOw%PrZ_)b*BtihIa#> z@s=Gw<9S$)*clIeNCDv=bbBNBuCr&)g4ui1*mw?m_6#0=qAxz#6w#8X#77M1uC3-J z(uduziw{pI!<`2XC-AT8@BG`{ zfWb4BfiQp49qOb&NOhpPIFyZtn-Q7fP~ACpKf2n9%E1mM7drb2Kv*H7hWz{Ah?n%+gnN+O{4s-#Qa9L)f)zmpMunJv$i_Wl$?ZMwQ!L<|Z0Q2u2it+?;6%mQE=tDXIM7 zp=469BDKFE3iD;m|F5qQfDS@UI+v&>r9A=-t{p6w^HNt^T7J&5t< zA84j^dr3gWF_32*UgpIr9&Ex`ePHavvIwz%EGU%r&evi7j67fyNy(4sq`&APkcog6 zVG7mMuFRf@c>r3`MAv8p#dwCeE}|74r5nCwo)~V^Mbt^RAk~S``R8J9!VEez!j_hAhT zH*BHv{^_43Aa4(9#m3Dz|Kca97DB0jrjV?2U5hv46fyNdfJ)>qoUI<%86AivPm`jf zt5Hu7*do3J^2rC#(UlssI&`zRO!r39tRWj*L6r)-3+J18h?r55^WR>n@u809)5_X` zlqQu6R|*(~GBu(h0V)K==u1O_A%ceAqeqW~E`2<#`5pLzY~qLohF{&Ld%2ov2>9_> zIGQyMbRA&v;VEqpbWpY^RPudqA00Uh66qaa?8aYz-LYlM7QcO(YDoR{5G6W0I(*L0 zn%EA|d2jqDp5no;ok~_u(Gzu>&rAH6tSgxtG#FZp@K_5qU#f+GNGNYoEzsr8JU+VY zuUKpSj*s=DH z0f6js{P_`>Pi4%xSDLm4%Mm*Em2&krt+%Hq24Tts6H3d$=STG&&daV)?4d$`u8+G00GN3eG;_+e@x_vWm zq|77V+c z#JEWnN3-y>`uuWb^Dq!j{ms>k04v7v*b#xDZu1Vr(sScydSz4<>?R1X!TT>726mdxeA z1l-mk@DMcBMRpI5Ln@8La&vsR1iuxkg{Z{s8#hKAzq2`rMS?Ek7X*PFH;A8O(dD$2 ze9q#ZqdC7ZFzD^c&CZT2wSxFN*ar_q1?xQHHta)qgQ(|^fFeST!AxkkiuG)C$}9e5 z$=jilrjh8Liiv*Eans$ssSa87q4+G9UWz(_Qqq~04M~r}$)<-RE=YVGos8Yzhe~nJ zmo36&EsIR1wz~8ri+g-tW$(?ab%&3fd{FOWXowPY0 ztzkebGjJ;SpAXzB@!sCQX6NSefEgfuJ&45y-wy1G9jtlkn`7yn%`xGsU;kV{s?6BS4t>Nt<04vR7K{~Wk&;kVZ zx-KBz;J;Q+W(-2s#Qe-~b2+k{8rU8V%FdlTHQ=WJ=bZpTxewv+_U+rs$g-;Nm1Mv% z;4(c<`6_Q-p%0!x9vP52-e&$YoHKO@fmd)A;od7PDmsn;MkouC3cr8*#(wzzf5!jM z8?q^$RlsccjWoYxoqSU#*%_o&_X1$T8mHlWBOZWs9dW10Q<3o`=NM=ae1o%Je3$7d z5J&MtZ;$a|pcD`wk6_p8Fjt|OpKD&ON3mF>*7l!;7DC?zCa?z_Cur|usjMZi$S5Vj zJJ~4Zrnkt%cR)bgqnW6d=CO>f>^>IML`{$TqB4xK4)^!JWWlrxt$($F70!Z2%kOuo;Feo__8DOgDSS#RKqO9rSgY=!-;&U0PPgeXeP- z+^7I^m4rgt49i2yfnIwexo|$GCE=2yDSRa$91hirYcTOjP=b#0fhYE>47>v9%RZHD z)!`mKFgW;V@ku}PU!$vj1iuvVW6})7P-qgp7BZ19*fjv5Xw3BSv&lLc6YxSi0$D=* z;ei)s#|wR+`{NLH)BRjrT!gSzNa5w!h@`m02Fw7I(|m|zLb&&)Y@28;ZEcl_5PJuQ zUNE2j>|iY^Foot?XhI~RSF9(8;*35STD1>~r)R3NoYW8fESok(qJH1nhpqJVuung= zNg}_afJA=p)9aWHy!Q6Kij(^N`}bH>35xl{k00+KZeXQ`bQ2Xn-gDJSiA8z>zHDI` z{5ua)K#NS1zi!bqr0V8Jj=7=+ByqR5LEV6t5y+@B{YxF7S&>G z$3^edV))#G6hg`kHrH<#u9sxNVK+Dhf3q3cP4hkz7 z#G)|_9I=iHp$=b|-iC;%P}489h)NyP0b_2_O!nLBWVmV!J+7(xV$|EWo68&qv#FWq z;)4;tDP5cx?`-TTS$xAm_F&Wrr-p2uh48wG=-5J0d6dsSW>-TCV{izaXs0G(4i!CPPuT7YAR zY8PNFrHB?o7@PnNwv9T%ikXx|ysG0%!lVbeIFiSwE9)HLUyJfvK(=!609{Lep_lT( zW$Nn8q=hY9!4%I60%YJo#`|lDM-oM~ZNi`pQO$9{xf~}mON_qB$yoCi&3uc~UmXNz zV)*v4+>hhJSe~^DFX?0gpgJct=s4|rVTY)H(3cb-J^H?T&&a|GDEqAC*@ahxz|a%{ zKX7OBz5_EG$wrZhMrhvj+iw@_w*HJ$}tKg2OyxTEkfJDva;fUPG)Y5D4l!EPpPSGlNccYyNFN|(Mjdv4kx0=& zJnFRtL9=>TAg+|D4Z(q09>5=Vz7Xny4oa(3zlR4+o^Z+svws){KidF{p?MdwXgrQF zZ4~B=brew$h3RvyaJ>;2M8qrrzfL4g_%v}jrz^MH5r8SHx6p#|hOk?3g^&j$MF)~9;lElWpie$VG1MQR>-zqW<*PO_FzmtzH|^6< z{UP%E$GFL~;nftC8=RF+bhUPxyxoY!a&eyywh2jFF;quJrCYbSTpx zuL+x}bWg$jv>A(-y%LD!)H;^Kmybd^Aah7~p{9L_%r#(DC%!zi?86oluGQq-Ot$-8 z@OF7~NLmR{Nt(-XGL`XuVyahf#i!RbyC3S=@I8|&j77`flZ``J0JysD)2#k z+R|+lhn*OM;Nrf@TgS1N10j!h@q8Gpq+_g&KU=l8Y*G;Ga=4lJh?`_nhg$QGye}bA zfA}yeF$OXBBE6K>0vEiPs)WAqe6@t;`?6Ze+l_s%%{rY-RanK;`^!r>QGuj&u{-e)}1+zcx%@!g3~lIBw5feex>If`=dLcd^uw0P?sgBnf1A-rK2$k zo7M~?VPMfmX_)|~M{)oCZ<;uj1wnMa`if|gWpYujvL;ko4e`$_=`_YPKH17!-S2sbt<3wvmK{Pbn_i;6NUp|Y`>5XkA0o#-0)a2 zYOaLcC+trf-ijd7vr6@K|VA zSXfnf1&}NEp#Lib7LAsVAE_JPbf6z*-Z8ZVO-LfSRp(Z7@VVevv3C|-0E$<< zat{eS5v8|%``A_$nEx|?ITgo6iJ?%4ot^!Cw?0mPJ)FKxMFH>nje$zbrZw*G+lj#E zptfq2hja<>^hQv%831sHD02m<09SO#m6?son0~AxHcN-mPW8g^Qx%05R jA&qI? zA}cXNx=>uX=JRI1DFO~ALhq5O9zoh*=$gw_rWWh7yOnfo(y> zv(CgU_ST2XE1VC012tV;T{B=C{kiSIz;Dv>1=RZD^>h?sBC2M&Q$&r3y{^xftnXsJ zw=+wuz~GFY!+(^9dfIBFf$;ePd_x6d;^L%xjIyxrqW#zxdB{mcjYgO!J6puAMPUa^ zad-wyW${;s$AGew+t{;mAc<1{8^5#XRbsyZpOt^A>&`UyxB?+Ngth2aVqy1x}&$3%SiZHw)wW^1rp;aVLH`T7PKZBodz@ zO`Q>j2#blK7ER<)mXl-!-t;M&A}q`f!Nd!E(u?z_@W2cV^0jd=;Myp=&SEg*l}CnqVA!Fw zp2S!WLiUpnIV@1gq1}<{{M{OavN9q3T4>-Aa&r)Y`ruHg1qa3Gau6_L>-Mhdh5G`Q1C=>0l17RSL=OJ(W{W%~&(RAl16a@!)( z74KEuCScJi-`(B4I2-*0v~vW>_b}Qt)^dq>VN(~h2$3!*Y|&h+(2~Ff37ORUfL*7% zJKlT2H(>j}`syF{^n2I#kN1>-DC0U6_-lWLIyy%}1ZPk{zMZa7lq_;gKwCl6+g}es z<)}&WtP2*M8UrbM@oE9m^BN?@sDAm)%1N>wu75j&1_fH?Vqk0s1>@p zShN+isIkIe2k;HgJhnUt!RB(pEzr};Bj=!v4l(jWIrvZ&Y~T*@VsvIrv|MfDFj=f6 zU1tUlX*%F&f;=cpbe@~GeN{7o%ul*a88e0>LT(gRF1!>P{rdI(h;uJry&9wmSv0AFXT6=F3k3?2xxUl&rjnAAIPU3Y-Eho5 zl$X2hcXG7F+r_MlMo4F1Cs zRctJi=#s1#3aic-}HrN43 z$H1X9ms4ngcu&5V)BptUgN3|5Rgrca+WN3=`C_w3oTr&QRV(BL$# zaglLMC$Z2HjUMa>(q}AwA4Ix*?Wt}P2O{Z^2IZ7r7M-V9`>o}u>*Q$mtP6UCjVU!I z#Ry_VGc^{d9(n4X(9TZamjmn_SP@xhN`CAlhQoCLx#C_%TgRKAbj!BZfeZ0ap_$S7 zbA3?9ZO&HeSSu_K?P8LYO*TR02n$?}A|H`@m>5Re<&@-Z6S<6fHPmIYafQ!Sb`ul> zq|QP@_T{xQVD}31K~DsG;9ah{fUT$;E|a{7?ZxODz~^qxea zaq$i9rVY+EF?)cp5PDHSlIMOV#c4~Co|0h?uu~Fs_KfXB-qIpX8*&lI_nLX2K*nFL z<=@IM3be>*mRp;}8EYkpK8;rIy8-A>fP%CCwC-g7_b(4gf<-OJK>^E3Vnl~lD!C28 z{xzyX!UQ94sZ3;nG*iK3DVr}KMW_OphGn^-Kp?gA9_2W(};kFLqZH z2Dz;qeO3FNJ`jomoI0cV*+|(VM*(@+Zuj6h&Jb%k`^FqgxC ze*6A?*S7{?t}l%Lph#+WzIB=ssq z&p>-heMdj`!Mvo7j=sJ)(jC*sAow%IJ*dA!1-M>nmxjIlH%9S<0CgN$+5Hz1kXGz$ zA&n?pZbPHoe&3E@jsqmUf2=}@kRJ|Vfq$D}%&Ah+r?zJSZdcEtr54m*w-FU*GY*P^ z@(lEfN9grYqp9-}!6IC~f~$hx)%{0wzX{cHKWK-N!g+Z(fD?!@_)aQrNQ*O?^`m_+$^}5ZRG+BZd7l4Idl0Dy8)SMDPN2ne*_)?<)>u9iwGInyJr&L zCB)04iH66n%16!bIKOOR^5PHh^DYU{A*9)XC$HH%iS_YoYZiz>VsF2|83Aghc>*6B zc%iH~{h3xGJ1NZHTj*D6OnhVTj_rkUg)k}-vtOmK2dgff$cuioa~KK1T{@6~Lv|0S zGS4Ah7sfsu5zo-?d|yU2MkvN* z+b|tF_U%=T@y0qD@}Or&n;;`$ud4eE(8YMaYyj zK7>C5Z4x@f+DwFwiE26iUUZ(GL7w+JWT``lP&gGs;2M4~P$B^#J$$>(xsNwdg5%Nm z7FEhSo=Mgb&nLZy6VM7sCkj`XGvTJ*)YPaDYX~eqw!oVPN9F<8>AMhvB;UL0=`;t< z+$+;dA^j?zt!@=TgDRsEW8>rKF6cZZEPv08$~%tME*qr@QqELgE#Ku@%igdGe?$GW=LrSnA-D&b5P4d@phM4@HN$%3fX|Jq}n; z@187uiPdZj4Aj1EV%V@}@RIz%uz7P7%$QqglA+$+u*W#{M1m%xO#=<&cCBSoEFD8V z0UrA;tLYQNXR;Q6462Z`NJAKAKpO|E9>-@K0Hh!2vK}!~SyL2MZ|drVDutIVTSnwJ;txW-5(g%a;&_yo6sH2dVdKn2q^Cw8J1Z-q%%dJnhy&CG zWld8ppW3Xj;g;NhUEST-E8MBNcz#kHN8}gEEIZ0<1?3r{PTA0gQm-T6F(5}8+MCY9 z%zWFXHwde;jWAx-F!6VMTzGL~6?&Ar+4uP{+He-2S(VGgK?|SuoOfiOrdfstlon3S zY#c9I8^-SwL7X0wGk{d|g4yKn^G}>%tEqNVq>TB21%>Vg;zf#9VuXWX%Bzr<<^tf^QFCg zRC>nKVOV02q0CU=2$Q1hqs3jJq@;8^B<$uq%Tiy!tqpE}{Cv%xRB&i#B4(-D99uJ7 ziy}KcyrF;u=vJ30ZK;3j9SIMZh40Il1P6*uHTkLL%TV@lg_) z6DpB~+ltB2QQ2DR?@+f6`eMP!g$r?rP9S2HNuLn3hBU=}n6>lK5cG+A>dHv_aY{AL zoq6+mRx#ti@WB!GJUAF);jSW9K6X-m(JTN=gxLR#__NEjh6-u|Agtbd;M=Vtz0(k! z&V(OZiTYOoWxo<4k1E{n%|=f@7_M?-76=$|p?cgopt4I|nYGn10t8U-K@%##djvLN zAA)QH9uj(@i+PNgj*FcK1XprE>b6ngb*(;?lz!vBfd@)S$2Y4t6u_acS zV33_EVPRk@B_|}v&Z0Z|g|zg%ehEm43O~nXhDKl<>Texv9W_q|j*SSC@Z2_u%ZK7D zBx+?VL;trL$^^Yj+VDTGeF@V6e5YV?ylQMxUGkY(v zDXC`3G9uT1Xo4ByIL`Dzr&}iFXe=J2ju3?gO_#Aa+AwzCO0zUJHcl;3f%`}5JCGHM zY}tJmf;3pe{t(}(_|RD$79`Xy@xp;wydk8EP35AM= z_da}X+tYNxbA_4C2Ax|vuGmTzdnE0@KEG72N@ldI1ef6a_S-JJc z;D;5dw1D6s_kh0=UvjPU9l1v0`}@=kFUi_!q6&3wVpDv63)d;&YMfX&((tL3?}|b7 z4(yC#0*xGutBb;u5Jac3y0tis_PFGy7ZjbHErr5)M;;d)t?OEh5}UKIVbSfrD^gKA z_4fC!2fiP`Hev0rB2%_sR8A4-w$R-xtXF?Y+1M%}NWN zIy^`gg1+c64>j+oGA9_Jcuosx^p!Z2VC`4SZ4CH=V0sDSKQJu>3aSPhK8`&X3(?Yw77ud`X=FiFAX;W=_@91gO`s=m zXD01Iq#|vvk2$?tis2m&??x!Qn2W|f^hTIA@PD~014f;giFcaZ?J~Vbs4=iY%zdQ4 zyr+r{5RVp*yDD7c0#Rx1gEdqWJvh?H5~r>#0K7)za+odZo)NtL4xObBRy3oSB3@8v zabe>yW|#q?uAa2Id|3(me*!Nu_f>_6j7jS!zzurgdo>}sz*y$4`v>X97G2V?6LACeK!Mr#W*QH&<1M+C27oF9m-0}m$?a3b z(hb@)J;T#N8% z+9=ZYIQA0fUSTkyQV?o;Jd1mPqQIWi@7M1_^ctLG3xl4utsKcl2{lsa9@dCfQc;sc zNsLa3v)FegxRAh8N3+P z!C7ii*p_=$G0bH$C~=^-m#I5J9XT#@&b9sZ>Q|$|pdW-PYRA(pR;cpYkg*)0V%Kn=7-oVmA-v#K~hj>AG)`mqyP)+a^yU6_#0gT+6Q%lt6$*CK9_B2%MtkVL%|lFkc`VWWya8 zH(sZFl8m*ISMG3yUY~$pG>CDU8O+Q;2D6`mH#-(QuDjnR6mDqZ3iK5lT--rB82`GW zFM=D%*%Td63C((%Ns|u<>W8>fZ&CKh`z$)Nq=?~`^o0|u!R32bKuRTRKs_<*VWSDw z=8qI_19PO4P-aIOlyKh;IR$-qPs-33aAp}pGx%}~_32R{17cOg`Hn^5ujvBz0xm;x z#m)+!Th*yRR?Ovu-a_R(KA73oRB3{1Wk~PHp;mh-Oz3+YI}YyCf|4LxE0uI0;Po{m zCzJC%q=8OA6HF=4RnktAILPm4mHEWz^ebA;A0{Yb0KEcPUup)jq8VHv zNQ(ZSC%!DT!Ik0SBOyL{cYh5M8M{e$!PjAHJSkBXVBl)8%|xKu>w)Ip2IDHbpt!-o|_X0%RdBv5V}81?bPwNN235b4w6~3n}B!W_SMFU zpXr$)QCqm@z#PXZn*9pQ+5UbNXE))I$w}dggz+pOnyrS1otmn)gDR=?Ep2E__;w7bE5ztCPI|KL@Z)zB0eu5DnjHWUIItjR})>OQo=zYorI9@&8~*R z1d3F^Eg~Y)3zS1{+Og1tuC>vvn=)A37UnrZ;+|2Kkon7Wajas$*kp+D@ELkio2F%ZHHT1 z_!Qt%g2{>CK?2K&*l|b))Fu%VAwQi=m~m~INg&rH1PLW;=SCskbLF^cg&s_THR57b zXp5Rc&%|u$f9bCCN^_Cb@i~d3G7qdo3^TKN!A~8)_V34H9#(4rxY84B%rO zHCgIJyQscPecH0P5FzIbsSdE^NNbqpfl%~9NX&oJhY9aACh^dC^Ro+5sYUg$c;Th@ zmxNz}*Bops)CGGc%sxyG9T=&D6_b9Uyzou{-ru&>#Qg`_yNGTBX-=2JaRD|YCBoPC zk!ENh8&cb1=`!Vt$3{o1L1nd{Dwc}_p<#yn>3&myg0-rL;L`=%Px|TZWuku;PFa=f zp1LwQORPgf!Z{Tp79jx}WDeqR6QGxl&f;7HF<6Gr>bjf(vNa3&>$XG6?|=1?+h9{i z;s2Ql8VWvN7`R$bxtybuT=E6&VXt;hdJFBOCvWcyA`DHYzY)tMlXI2E-@d{8tJt6#?f1Yy)W)Wv70_9~qN*cqkN-lrY6J*@FE)#z6 zl`t3)r;{lND&lAI@f9OBFog8K+SeEcG*b;IB#$EvtLMobm-NJW>IL*67iyw|X2iZ3 z+PE5Yz6S8+6C}@@ZU6RH+{KMBn9gXx)L8Js@HSb|Y*FJuf=kygS?_}88#~XkrOl&w z8@CT0UAi~(Q!g&?(Lmlg4HGXSeI!~ixuJ9$diWXqAKTCDeKeIdAhN>QkpzJF!T;ty zTy00ZT-!yg16}&4EdYANq(y8nATn^Tm>OzkRWx82G%ldjBfJeMRpAUci_d|uipFCJ zT=91t!nRyS3Y@&kC~T97mlXvHHPDk6VSauKoD}rPqwAF*OF%lWx&0Ouh)6 z#r}}La7m*oG8-(Ddtvl23^iOFxcBdbrCanNFHHpbry{u_sKi00_V^aTrzGpRSj4Jeui5B++^ z)z8%7(P{ks?_q$Zy$`TW+9wGw2#|!U=6143II9yo@)1-c)fte1hzqKw5~&zN_U-eBv<8i8UfC3a4;-u@WN_;8=Y7Z}(-6o$2(*J8mufBcv zZY^R@I{Lrn5WI36#tf;`q%EEd9D3FnsF0hum8EeB-2==l?m#h{{E8(M1PCEFrJzdg zgBn6^%p^h?1mwjVNI^ePC#S%N#2_Q}RY%@|DkWvDvu5{y-rW3aG>F%JG^;hBCa3l= zIgz{dkT&B`CdFxGr$TA&{QUXCq!Q-xSMp_m9i)k-DMjCd%r%HAjyOvokGe>?Eu{Mm z)(7+wh#9pg4-gk!wlxSXjvrl@)+L7Ruj{_HrR?q1J7zU{pXI_!ALeUE|iEMcS0b=rO?ViynrN%1Z@-t2b!VB zIy9FcZ@oO)Uq&^;`7 zEro7v14_#fOMvl!zysLP_}4VI5%x`TM=e}fNbJUTS#;IUa43MzTfT-)qhN3+^$xU! zja#?wp#V^-sjCN)1p+Y@3%J_V-oA^1B?`do;Rum?pirte&ntjPWNjYCw3I`;!y9g0 zKtbS$O2`(~uX-jftWd)4tb@meT%M5j3ZzZ!CtS8g5P^`>q&Z?Af4wlNGk}CalR)y?tUgdCooPlkG*VjIshY@RJLor zS3668BLWF7pma%SeuKVa0sUg)9{uqw83Y!Pb0DTp;k*xda~-%!11inMlJwywu6$Ov7sv2VXDgfk&khdJI+1 zeKyG?a!CWLsR%}n@WC(9P9FK_^d}4&380xZ&Uw5IwhZVofh?@v7sTwp9>v{^?_mce z{oI-PAaaOV0`=32HSBmN6?e`=fdwI@7n~?@Ep`Z;q$L50wV~R8IyTlCvhRUVNTkJq z^u{$dA^m)k^r#8QO?3mGf1>j?XVpD$Ae%`3fN{i-M7-93`&IbcTQ{(EmjEq4oTRu+ zS>^v@>N>!&Zr`>xg^G5F5-pTeW&=qgqmqb{hRl$icuPjhN|KO~k*s8oh6)ME-W5_d z8AbTc>#6s9|IcxJ@BjUd7te3p_chM*yv`dFLkE0DD+lZ^*$Xh9`6ghpi{XCrxZwR= zp&;y-!_f!1t6~rBqcniES+aBS?yMm!mTz!KzA=2`B7`t1_crfA@g%Si(?hS}K6Mzw z9F?$rG0<&Kf!`16FNV#9P0abZEcWa9@dJRbYY;XlZD1r|K}HqyN;ncfcalfoY>P;3A&ohF%`}@zc=+TwZ&j zkDPB?XXiU#hLL>#l+2}{Y6xjhwd1qkN`RzA0!6YwA#&+=W1f=^uCW}@4)JEuAtk>9 z&xIt%Usl7@!=AY{b2Tpy$ptX4K)qbHDQuU?fD8WGLX*9Knm9<9&!7vzqt~k3JBi6b z@NJMroCB)9S*lX(AJ?4Iv_^m!86v%rq8o@cN0kUF5yB6s1qr&H3t~NI+H9szETD3a z5QHjZkV#dogrz+6@SdF~P=itg#B)CcLD732cJK8NDl1ZiN9v$fW22auSkd?e*ef76 z906a9jH-;3kSf!t0c+U27@~`r{2+~|2`k3#?Z7scv~2Uh#+a1f`p^+d4e$ZvfKeH~ zcODcgK{Cp`C0aRl$-vi*Mn7RxvK$~y4AjT>jtNd{72P=(cfw!4A zH+FAU*(a+fDh`Fr*V5oPAVGZUTWzJWkBJNES)TwcL?P%|vg+~H-jz z*F!)1@-kXNRPGa1xsJ9CH;*xeGy|4;20?%hhn`7s)ay6kVla^A10bB%Jg6ez-Z5Zr zauP|F>T*#4*1pttp|!dQ=duQ8thCU`32>DMk)qWwds2xO6>^I}88O}}#P}1WJOUJ9 zk{*w(&e#L6fv~v;RB?tDfCtjYpgSm0GlyRR#4S#PMS_e7t$*LmHAj%%G>|M~;Kwv@ z(Q4ZD^=lL$sQR7E=;2Dc`=>D#4q-$Z@+VEx+N3?e87t8Lx0?20Mhq1h!@wLjjbT;A z0NNv1Hid9)!_HG3Vr534fjq>YJcvjig9h*reyD_pF>KE}3*LxwRLj9&Hv-w)7`w>R zAwy%V&oPj=I+QOoS4Xp|BNtp2jRMGuRSn%qYOkFbT|M}k@pupjlP^8 zw+T7F_x&7d9XLTJZ_s>VXmc-$mrukKcC#_!a(*s8azZ$|4GD0(R5a zK^hx|-DM2=(zEW+=!hoa%VQuB$g&#<4{L_Xlnkh#buVGxQsv_vph%1j@%M-gh>c>^ z+ff=DVO|BBEgF!@21YWZg5?F2jzg_pyNs~-(Lfx3&;zHXSfbYO*8%HqmonikVV*nJ z7c%oDo3tK67^j0RJ&*?1GIdxan`~7=3<{jd@E6&g1HB)WYk!jksH^ciACBr_bdxlu z^yL`u?SHuTV=j;(DnWrdxH$l`fNGeOSeH)V<}}_Q!Eb|`2G)3?Sp(o}!cvOfym`~T z`49%oSu$|b1k}*9I5ZT=Y3ngQPJf&xHWAAIluY}<2*FN*{ItGft=!tW{yDZ5r9U`+ zt%0O1C4aUuj*OThVY~Lz)1D9}EHiH)vI3XVzh$>mRU_5 zR1d>?YXXuZ8lS4;i<%34+6AE1o;`g{k(MjxqSm+}T zC5eMo7MY0Q?tysF;Ud6nMYETR-a;xehC*!&NGPoQChZ!&qT3^hGzcl8BRI4ep>+Lf zjs#Jb*_-MOTz!WnPH%~lqS)@KO$}ytF?f96oS76F$PpDd3!=E zz(Cs3X|OVcqKG(fuP(6SFLse#J-6x4q8sc}>bqLjSHE$qFC=C;wh8Do{#=h$04AVX?;v24pW@5Vy+Ca)Ss zVa@aqB_haZV!nV22Yng4{vP2?B&YvMvt272+SDdkNCY8?X%RE{IhBGm7CB)*w;b2=XDvyYRyTP{|c)bx8m~k_c07=yhj=Ty(~Ts=>R_l!QD`i>X7qtemAp%a_*2$B(c5NX5MX}F919Iy?7 zBte%BlzWRh!2irlO(Xv$(B-stpG-C2(NKV|9%>W88#oil?1<+Kez4}7Fkfu++} zLNy#4;jYSM90UO-gNJN+zRS~I(E>##c(3P>s2Rp2!g8770U9|*$l4ta(sd7(=m&5e zti#k#;JQlKMUI`xa+OA=BF{cB;W*1=iwUe&s_=Bgj4IdV@nbEjwu1+C08d4di)=bW zqJo?wu|Wg51x_x&kTd2cUk7;{1@FPeElG5f26&tjb_RRna(Wa)7D8G{yV3h*HnH+} zEkaR;$-U68#{0``zSckDWKLW_djGs-4+)RYYr&OL}8m0nmH0vJqQ=6< zsW7;E*k%XrM5K!%ECm$xB{jsL^>0zOy<}qFgFb-F~7YN4=spF@arp8;Qh9D|j-ie|s z9EBo0yz06EZ!v{vgZF@pIv$I?t`lGYjdbQh(RUV%IFw?Sk{T!BNh>5 z4|b9$Bag6bI-Wsrz!5kyhUH;EUpwzoCMse?g1|x)9B~B7Ko06*Jr4h_I8tn3=O zP~jkUBg_$jeII5qBmqfpf^{;2A*rco3_c})uOzu6-{O&}SF1tDrKC$#y9;YO_yb~7 zVVG+gN18T7)fjBZAnxWvMITt~VKPYj0w@vdFj_V$9!P`+h7QXY*<7A9R5bH|#NalD z3Fq?=a+3nBj&JqVY*eNSUOe%5P#e>{rsFBrU^4_#!%6{C9-~4eE5K$Vf;zhgRgweP ziD3*1k%INC`;CjQ|5zT=I8%HArmCQ_Vk@phm}dPBoQ+-{8q#xdRu&fJ01aS$Z;+Dj zcxw4}zCM65WQGBGi+PL)q?2$Ddw1tEL?dE|jno8^`;DRp=n;~IHakx_QMsBgKbsRW zFnrT@%)uPNC~(sVfQ2ryO+%bEw_!M?Fh$M-M$Pc{K-q!Dr`D9dV&{1GR@C&x-D*DU zCcp&=FvM<&Pe7$j0&?I*CG2E<^5!^X8*mzc=dhK81e6r!bi~-?=_lsB*r8U0mfUE+vJP>eVCono`sQQ#>qV63a#rR%SQ4XK4ErlTJ zjE&v?yI~xIFc1)=Q)95q($qB;fn+VmZxBDHE%Rq^3A|=4Fx)t{2GnQS?cv823z( z+q+^A2YwjBi;Ho38MfO!b$tD4NywG7lTQA_#Wg7sYzjo0rov0ug^EO#86l+#=R6>! z)OJ!RL=V@AWVua>{P)B`JL^Jp^O2i>B7(x%8=E24WxkF}zc zstYjuwcQ`^yUOJ_016qoRBaSi{)Xr#&${2`UxG>5ZBic5G&GxwQCWve>(H!VOW$I| zI@%fKK#9iopwpQc9TSinW7K&xOi8p3KHle%3KbG_ z2Crl2;&ggEKp7hTh9BwTlzdkfD&>I|I?$J>lDpCxO42&suzQ$vU;&)C}Wiu*uIu+v`o$ zD&gQZ4YZk%cH*EQVzjTs9^j}v8aySikZ| zvhWG=Yoa&IR6z|s35BsQO{}p{h*DxKT#-HB9g6CyD#7fZTNXNVJ!%>%i4KHfuHz7M!r>VdZy5T_!KbOC=i;$|NRdeJ#p!*&~}WJ!_` z8W*w`M4g#{W+8}sgGLd)$4v1p{=ZOUX$2BHy_jOm@gS=rx~FAfmwrdJwngfh{QmT< zZ43bg@{9ggI#xdy#$i05lzfyv_-y%&F#swsFg0^BhWa4V`5=5?^=o_p|6iGGuurEBdK_$QN)vTq zh>?*JM9>pNq*I4r1PPz*{VDcMx&m!f6%cfXuZ}MT%SZSHXzD-FylxY45L7Jbjx9g1 zs)`^=>Fz)2izrIBKufqOjZ!3hprD!y`nyP} z(63#@;IU22w>L8Ih?o*BpHXtr3;$esky%HzNl6_b@@S?$_dO23fV{B&MnHlpcr}?(QNe1D8sQK^9)>7Xbb>(+rkOQ8#*4epjdim7dLaDG2&Rnb!n`;@0^%RB z@7EHn4Ii~`-z}&K2w#tdYc!+1z%}|(%tSa2pjIuW3=5Ckx3Mb>Yx$1Q&f=PMkA_hUI~7gK96 z#r0X%ahR#pw?SHCTK}%5<|sI6w=>F6glz&7fZFaucfa>5Amzgp$zfXK78s86swfZR znu)mnyYrbsaQ(ByPQG9wteB)QRdZ&|`tH8!vKp!!h#?E*0>5ja@}SWJRB?5k6h}}z zl`%r=$7|>vzLQJW<=+|n>(K^6=|mfoZR4#+i@%?8%Rx0rbS25E;!82s2zpWjlMR0s z>k&}f1lVY2TnLMYFS#M&6?N)$pZTuQ37s_P0?>+enAQVu<|?%6jD`ZYU38kP;=y5& z$xlpQV`fU;)TAS<>(C~Jyogbc5W|sAI+=*u0Hv90(8ckx5M4z92z4gRv*71M;khoX zZvRpidqO97qHvv>SAVLU3Qt&>-{W3^#qby#|0r1UVd#45JArs6P-sFL*(xQ?pYp#= zWga9hR4rpqpSAJ8MdC{XiIgR{0Cr49F^RCgL6H-IHH+)?{e&e?NgGFKnph)2l4;6& zb|8VgO_(w?Clgy83CLc^yBbgWjE&*!^X8>_%Pvn0AI;}n<4awPH*FBnwdg`AFaW_$ zu7ZUejRsO}hD(e9b{~VP5BmxiTZzS~_?96i;k^pseh2})RP?Ah1JouY7>vPoDS7^v zc!sP+b^yr*C|G}DA&>&wGi?wO_aPkL7s!1#SWHH)88s3aFy$Y{H<3D|}4>flt!D3{UTMW8igY(D&+;w;2c96OpWh8bNs zCsgtH#ppk%9Y+!nP3jW8@@`wB(gqq2o0I+t7&+$fn$8 zVI@u2{9R>IAgIxtM5BP(?+aW9yX_BT=yylqTww#^4D}ImO;EAzrMub9N>CH5MNQj* zRM7}2dXKa2Zu}S|M$YTO^aL5}0a^c>sSDeHn#G}3D{g3LP@6&pWDE(UTi}TPPCP4= z%`en;fRJbWwC{d8IR}zu9n4X80$~@E+7u+VL#`R`lFnEK^6^r$CiajZ7JB2K_!Eg` zPQo%cjX$j-ks7s~bzyu9sl7n7C9^2EF)aB`3TX^11EnlJkqhCRLFW0S_mXo$)E&l< z*~+_V*X(gxTPzCv+IIvOqn@DyI2gs*^0&AT8cA%}^zr=pyE$}e5aGeWlztMl?t6C3 z81j~YhPwlYxl=LYsAR3Nt5W3TrjrB&@waYmE6y=Hj&QPub`?I$7J+`J9FE4~R1EYT z$t0*{xCXmM4zw1mdUJ9^@!#q0x6@6$d}zj2Ayb@>({m-!Fir$5Eo3|yqG+vZj<6> z7*3Z?B?6#l-u}oubOFoX0eR!6r^kB@8jXEGsh;`+upLH08pN$xAISIrHU!;}OM{%0KLn}FqK+ld?MEX zlp`n}LFgO*o~8#3&4*E%P1V;^y84 zO6c#t+U<*3JR?L#DlEe;1F2+mlRP|THXecR@Hg4w{=xlt&=Yl8q>0mtP%D>flA{y) z66IU#Ro;8oKrh3vB{qXd0Gs6;LxuhQBZX8@0_f!w$IM4kkpcclU+%^>f#fD^7YWqV z8g&eHG=Tkgq~tRa3e)#S>P?8TcFTeY#2ERUp^(dA6@ec)c1e=ZQcUbdqV;=+c))lk zqSA;K_#-u%!XS=tM{AHil%%7|yn*QLBy+K}r032eZAYA zWSs5_xiLSUj}PN%9fl`4H?ZmYcL*L8z&g)sOGgQ|VcRzL^L_F^s;5q*Ib*BqqIZ3O z!8p^6_j}w?({@r4%ZPdd(+;f%H8k8|+$gbLH zZM_C3?iw{7xK`BhVJDv6fLeOToenHE?M+d_$FgA?iC*`e=17142P6iZ3Vptw1wRP8 zw%>yXZY|sLN>doq?+EO#IM&9l15-_t{vf2-h8bWjXBT4`GZpb+90O#|NBDsOh^3kb zikOuAVsFy3&?0_^n!6gi;FlB^!uH?>~_Q|WX%E|OxT!=|WG?@<~hc?S%d zkFgsAbAT~Y@Qc5M!5AUEoLW2%e-J(;!pr-BxAXpuc#+G1ZUDko#KzuQsfuILaG=d* zsT@|aBXzSx`S@o;oB!!1s0Ykg2RET_ z-b-g2nYPnm8}M?%FsZ22GuD5jL6{lPAnG0%feXK(%quNTZkII(Kqj=DNv%fWe;d2y zN?5wqU*9ihWJLm-5cV0%uMm9A4^<$TuQknZghEr>^4OQpTyvmS`;Kc%^+#|t($YW) z$D}HPXN>}bka`nqSbrQw1@fL}J(S%%WD3%fG?+ zF_pZiH43p~HJ3uDiBQpnv;atg4^sO^wO;gef0nH_;tR(9|2E&xWd-kDOT$X~-ZeJ^_FS)zN747>xq`k}Tvo zl>oyN5Wea=$=eiJL=RXQE~8f_#2aTmAnFOG(1{*}l~ix76VXZARArzz?3x2IhrFcH zED>|j?6@3WC61?X_A{OW5RQB`GU!ane|G_-GfjVWAjeQr%R{Z#EL#KEb8W+!(f*ohfa z2UP`fM->!ZT$_DPg=sBWtgE}oy624UaCCNWR`y8Mu(h>%O~UxxgzM|}zEo0Q6v-(o zxPU{kFIOe>$N1F%zHQqBwQ`m(w#@K7&++qO38(acp3;GMj^q^xW{1S0z! z9I`4uqqbvwK40IM@Z$N@gn2nx?R*ZM`W;;vW=|uK9`#t)cO>~CN(|>y4O9E{v{*PL zm2LJ6w9}pC%cSpn*EBZXL_1Ymt+~P9?$bYWq_gtn@sab?LtHkPs_vlMAdQRmLkqCtXR#(D?!KSjLBJ5|2Y~Qj2pX zP2p%F4ou$*e<(Kp#|niAdRm6Y#xs~8j0#IjTQc{W?4MtC%gM@;eEs@$t%3zmaem0# zq|=jI3qqhG1`STh0>oRE(^tWd=S`=`Hj{wV! zWG^xfR2FEwkk1wqAD^lMls_Nk;lsll9ae1)FV@DcQGa{sM_2R4AerH1O70L`rv7QQR_Y>zqG zh_p})diePJueDaB$5`oECfEjp*bTIR}9GAHf=v!qNn>NN6V-gb5 zQjvGC+W4%s7~cxHjo8PE3e%p(#^c|H9lT5$*5GLe=hW!h2Jf@EO%H_&4BQID<)^7u zR#q6Z;l=&7+CCrWe*E~cNzb!qVmUy?HQZ4JGCq|e+VM*;VdV;eifKK9ZS{}v0QP1?qu-y>~_md&=9SWqBkwCo8r9t z6l00EEuQ=lI_1H$-KV%+EANs7<6Vn2livbvI-H4L;)#it@e?xKCN>HvW zPA#~#Qt{r}gyI>5WQ{U^4}LKN^pcLM_4pZ{(b(Qx1X?P9`{FC883D7X*& z-9RtTZEPdCUu9nR(_-nrUzviKReKp8NIy}L(;X6el7z!1badjXzCcmtru4}7f4*+N zvhr)Gz8pkfn84~oiiGbnT*f*Zn#1~fEQ%|#VcwFP7>`X>LxTfIqN!;gpnwod_+2GVu4-bcG3Cu-+iFQm!1aIM=hf00<1=T@@MI=f8_PBWS7P-mI&Dlw zrDiRBbXk_AYXgo?f248Vcq?C`F>r*3hB5WfeY7&R4dcq`$I|V4Qfn3fW-?wSE>3y)hUbs*~ zke`1hVnIskjqBIdG&KeAM&E%X=m*7BSC7Di(^99kS*GhLaMF+CvwwrMG#99h#VU?a zzw(6ueQ72}QG(s0NNf zxU|3)gI%W~FC~E1N#qVpU=*Gf)d^ZWSPCXjWarOMGjwzW{5}WUHvfaD^506aS5{J* z8{*KpzWmv)iSMd#6Tw{-RaRGDuSc5s8)sy2W+q2!S65e4o(gUdaGXayh7fJXOX-!V zx4`{zwTw(t^-jBfUS$ElO8xyx3ugZQJl}Z%+jC3Q1+BgZgnj3yv9goc}tQ%!fRyru8}QmamH zeza>Fph?TGW}i22<;NX?p7abnJPZvFp$?*y60s=Ku`Haehm^~zl%HAZsV_!6U{WUp==&YZt70F%_aZ@3p=Unp+`jSER6}R4wq`W+N zVSJ>~*SjY3F*DQYGiNfL7=Izg8G>nnEM}o~>%1lT_e&2~9x?>=mnxFk#&O)f-T%Kk z5;H`^b>3rQ@+95~wA3Yh8LBVHniii;sjEIK%Y$dMe2EzuT9pU)@3$Dg%~;1%)|XwvQ&ShCxYKZNQ%5M2#%hkAXlR*S zf>C?CU3v=mgzxD^VJw4*|#eP= z@gNq$_5=drYw__KvHdmACy#U{{kvjjZwpl3embs=u3+KtTOk(v;o;%5Q2go0=6#I6 zzZcG@F-^Z5N&_a~4zlz}L3ZnHDet>?|M$9@K?ZIn3Mm_F7I5vq54z}2aP{Cys9UjO z1#06SV9))8<5M1R9&c!gWCz>8_!MqLyptYy%^7|k0cAQ??cW%;|6MzaeNRu%hpyqY z?VN-3!?Smd8>fY-@%164TtoAb3UKBiBI<$vf^bbn=i@jsz0}Em@`M!-m+#+~zduu& zFY(c%y_M{2Z2k_bXcxyUg++9D+Qhct#PcR5ubrpHPw42x9{w8;=qb=AakXC&S8pug zHh*^l|M~#Iw&kp|)pa7u6?47l6;;j~H{L#OEP3Jw4x10l&26eiB67ZU=gy+o{6BvN zOIH$DmMoga_~4+R8-SdS{e2(&t%I)8Nb^RJTf~m~(49KyhkBoLR_QpPEWp`(dEB)8 z8L)Y+|K4AYuWZ`tnrdw{io=luhK)H zV8#&u(bNRcEXx1?elh1DD(;wgwRQilqHD*6^EN$u9`$1})Nn6Q>Y4W7nH;w&+4f&l zX&dHo_{O)+UrA>iF;f1}A><*(y0m|QKS)o*V|Lus?~YyJBLK+OWvMIERnTX`VCs{B zqoWkqi1mNB3r~To^y<~VH+h*g+;_{%DeCB~1gUInj9u~>TmOHaLnt-92P^e}q0lb% z@iK5;vye?;)0~g0I1iBa*~-xsp^ zjDCyoQsVaA$9%;F_T}~U5F=9;fBb1Lz?xGiTMm|q_!aR66o+ZXEnK$D1AH&*%I&O> zHo728jj6G*_U08aQu)pXmiqD_JHJ-Bv@w-R7t9 zjP@T8$Pm{R7ZjWW0w6hcmEEUll%+NLqKlg@{U|}i*&C1uGIGtDH3lyl?rk$(f>!hM zW+$-08K2!&M(&(x7It_8vXn_rm~V;M_MkA0Sd$)jl!|TJmU+4f&U~!obvrFlP*jv7 z;J76V55D1jh>Xr-x%Ta;sj0OY7HiCKoKLLWKxWxXkS_g|hg9{^Rvr|I(2OIfno^kJ zfdhUHOFi6fmhRXC%~Nyx)oINpXoPE_kBXnbLZj~Ge-_~(V*jMkKBbM|Ki(uuiq53t z;g258A|H9OiA%y96k6?jC;<;2J~^EU7kP}nX+rPZkt2)0eEA|@aZ!>RQn0_zj+27} zW$@Rh!zpFu5?3FU`AppEHs@cRjKxE5m}vnI&+V}>hjcS9x$3N!*s!y6Zh!pvai@&_ z?lv<-aII9M#h7cl3PBi0Nl6I;ItMZ>Sk&#JTesqb>J_p11MAPGEC)s@A`FSZPF=1U zE+}~rDLgRec@n8rqi^oQUoOyXd-@J&96DqH6T&Adj8Y5VzkiLwZwn|))G5}-LSUD|O-G36;pFI8TX&C~ zMv{mdwE#@ev!yEY*x2463|;|7$%Bo1LD3aZ z&`VSrH-R(EgJOdtcLZVJ6wJNvZ9R9pGFw4j4~fn5@`?3}<~G_inEuaFOX)@0x&&k- zji93o5Q*WXWENp2rQgf>_Y7=+o0VbSbCSyjq(>yO=Fsg0ZQ(21iw<*dT`$nnx2S5H z6RqKr=5blS__U~I@tOc6v~N}%uh0OAJUO1pVcTfo9`ockFsKW#2j~xf^9IMY<&JGl ztmztP^HaSZg`piDfaWr%3=Fb$g~i2}9o4m7oRHPI0Ywp)ZHv>6O-tr6y*QQp3H-%t zux{Cxo?i2a5yXJR8Y5$4(;meFt{h)k*Pt1Q=Adt>w5(_V#6-;AK)=>aGbbul=_so!N&9#Qal zSO)2lkHe@(;k>%3$*k{DL6Pi#n+uP^=-4VF^}W(5bvJ>e?#Gi~=$^3lTvA!NRc%Y* zq{3?7C7grDu~KItZ>Fb$DZ2@1e8gBcxHthTHuZy{m_{GZLYEZPXSzc`sm zXHzP}%6Xr{%S7D~mQm;*yMH)L_Pg)m6%tYryS2l_BPQ|v*{y&;HtL{k_=Jl0&VM;M z)V9gG#@R&>+I|_VZ48Se)<1-|II+|7I1PJ7?Wjm__$cxL;}uoIexKxZ}|DCAG@Zm0%t2a zH8?UpB=Jek7@TK4ZfW_ zdGL7NQ0zulaCLW=$~C+3<_fHm2sj4px)f@7w%~(vkO$$m8yOk-34T3q$+H&ev(U6P z2?yf@u`fM`=WF04H-V#tE%K?*^E>7hoR9WlAW$@k-0&NIL2RU9*~#n@?i%08EXzJ`TJjk9COG{y3s;d z2GXwZdDlt{l7HBQ0$I=@#8NBc0w2@v=n8#Ee14*jw)okvj~jn=Dw!AQnI12S@mo4( znQu&4){le^|I>IfaJ%UW>`b&~|G?As^x3nLxlaUlc0f`063-(E2mL+}x0ntl0A04C zs%n9CjjnrxS$2u0^mKK~4XuQ-yWzj;4!# zhPxmnI=^SZOnnG3!oP#9bka6Q|6p2&QMu78yv(m~7L|M#ypws3r)t-wS;moL*(xOOc|=%vB^p=DkuPY@E!zFAKsCnvwcN)kfeEg$ms_TFipB8Aa}XNFCfCR*`f z%+kt=d&B@Xq3l1lZQp+Vt9^HJ!A!p*e&T_ec)a%U*hdzd=Al%P1vhc1?-($IevFMU zYsRG(Th}@78y@Pz*=fB4S{Yr(Ex%fwbS`}`o=3#U=1V{O^;+RM!htfSbz1PereFE1 zCVA`0BVgv$m!IyM+K=T*M2Cg#$v~K&8K_*{nk6SIYtm9jJcVhNLd18=Tz`N6@OIQ= z4{jGtKKN#~GDK2O<3R*&($o9Sowmx$kx@}|k;8q5ma!=Wj~Xz5`mHC=rW^x)_O!MLJBCV1ieIT6OEgCDg!W-(R^2tq@`s(zS?nDkZ2pDz3;qWT%iKuYO4vC3rkI{YHt`Ea$LiFMeXom{>Vp2J?|Q8*^nxu#Y7aA8!J81z~26D9qgo1Xtl4UTmnLa-ltPF$50LV8~y@_Ybz0& z-7Dd!BO9_6WlQRF^##W(I@Vb`NAR*X@7xzVzOrdzlKG1Hute4mtzSx^t!ka-Tu-Ef zy$kq^b-S~=67r|Uou@!I^N{%;E;pYAwtw(2u7k=w!O6qN(}_cN#y zXyJh2Oh=#a=+Pr;lpyCbkXj<($3i8YFc7_&vu3e<6W@hHW9<+kJ`{)L;HEKtp^t%n9G{X@G78WjA7vr5pWRy$(0yXrGZ9(v9o^td zs7ky816gwQyui(W!5S1%Qc~h&o{oyQbQ<@3RT}Z$OMw%)b||Y6mpcGSq3yVXk7qEWo>oK;|C#tFX;DD1gNZd=sF%}3v|84pD&6~_kcd5{ol3EE7VTuZl{aXw(0ymJ+OA(IBNfjGnXxZ-4(;codi!_y+cBJ z?>h0kFNoV}8xjH7Z$9;3<qnCeF~*bk>Ct$FH!c*`uJ~ z_HBIMV*~kwQM>?;dai`K41fgdJmrqkS`31^5>mocIF`xpGkw8(w!P;y`k<^! zHMI5Qck`LEn>)m{%C5cq*s<=6^O_es3tnD)(rs^m|2UE37nCWPZys~BkaOmqj5gl` z@`(~#P2#c5I5;^?i+}$rb56^x4gjp$ZV&&gYrej|Jn0hvcO~we%==L)mHl88RgZ1q z*P5>3rUXZbMr5IFW%JgQk$<2T?jUpjU7kW#u3#g z7bk5YKAVT(kEPdd+#rPy3*NtXKaQjDyzAT<8_ji>%pKEJOOe-X0^^%2Dh{A;$~~kS zeetWORqQS>H4}ct?XL{HWUAXM_yqilK7ZfF^a{;nU7uCB6eMmo;zuQ?ir>BCAe`$n zN}L7gpmd+AsOIdTuQJq2)o$wfjcoH19B*U$Vv{T>dPeQJ0?WpH} z=MFQ@DHEyOXw=Y#}5Kb4yxoE zUb(T&T9>cy0iH+0=gDtWI`Y)i;eGV>N@1XqU2YM~k&9yu40c_w$D-)n?3LXo;dtnp z^to}a+%UwvF?#o7D`)9n7?n^eZ}}EGT5xoXOUB|!PHvgSx{)31np{t-4-5gu#vb(4 zbHpBX)NR35kuT;Fzwlz@ehP~{8gup&_4wz(o-(U48A0vs+qR_^|Dv(ZpnYL#;=?z3 z5DS*ZV?3g+skEWt+DlyLj`A+iKxI3;BFDx&tS2ztdy7es8T&MZs6(NEd-vAeQ;rhu z5L&-}A<#?1NkqEz8q-D$aZ|MzXSZU&c(KLzAYpb?Slz z3wX7A6S8|baCm59aWj53yd8f8ZBc!Dj#IAqNM)v&w`&e6pWGU)?qW-?RlD+P&WyE! zf8n5_dTCMct^#nu9O%?|2r1~RnUx~g9OUcE;eKNhbH7P7!wrI+>~1#hd7 zO&ZclKG$Z9hoq$Qw+%lkD_@CM8D@@r7K?W~+c`8saD1iA@Z?XW&&(-1jB@ zgd>A(#w+EH65*|Abc?t?vvdWlPq$WP~$ zMvxcY<5Sp;G_3sK?0*MfG~^vyf}D|FHWKk`m21C|%z1jcwwVZtioLVF~uA zNrgTAw|DMS9p2&4IWgdme+w>dZtM_0JicT@l1evFn>Rm z*fsLwha4)Gcg4lYfJ1T+5uBRS;WWffK9%tx2l`PwOQw3EKy}_rx~`>|Z98Z_j)7Fp zR9N%WwO@jUX>lrqjF+RUS1nlJ0(n4mSwZA;G#Q`!`dV6_!|@NvSs!3q1|ZC2_@gx} z>+S#(M0}!C{Rqks-hk1`)F0?gaZ(htQJ?zy`YN}JtzerRir(cJC1DjJnSZE5!?_8d z!D_xqwZUy)GwfPU!q5I!TsmJpM-X> zaI5F&SBmPX!4r)}soIo&YsBZGJd@tI=a|Dlp#fOwqqlsXS@5Fy!)`q-Y_;Akn}C&=`}+;F?#Ga zX0dN$Z8i|!mm89Z6F+@ooZ#ap@xJxO=z~X{R;QgK#*wkBJHEwED!4e^cH(Q#>=tsm z-P~_4xWm%gZPmuM;8Zw+mUjVkR8H>#KJI7O47lsMo^6_J^X{T{%W@lNh`$Xf;r95QyVsJfIpul*Q%*eT4ON^Q(SCJq(;GK&$~@j29ld1c z=kAJWBl&Y|w_UP2v9Znm%W)3Z$)knEMMV~pcTp;pKb;V2XgmsB{1uRMSLk#I@wXa# z5F~B?6c%)Rb&eIawd=-i&iGbQF>gffoRThI8E3~+!P4?l)h$d5u-LM9_Uu!Y9=2a) zB3aN~vUm^}9w2$Mh5#2A7qie8Yyai#MvF^I7B@K#R==}+;$7o-O?r>Glza;|&E6jy z7R@E%f&GW%A-*y{r+wJCP-QMHv4t4%Vzypf)rQAfYY{*w9sH8ED66Yj{O>Nk@*y1+ zRAtLL=H|MNZwZqMsyVyzD)FMM>Vn3(+>OxKwSS*$ujH*mY*_|uG*61Hn8pM~^A&;F z?K#0I-vw3fyS{&~?Dbmf=uvmft(}BO2}OT|+}@mo4Q(X4BgDqk6s;z;g9ImT#!0fr zp&taUJ`E$bEdEN{J}rZ0XzlMFb7xMK;?mN$iOv(o(RW2QZj`gP&otCV$$6-*uLHtN zUZBK6LPAU~Zf+!kI)&JiW)Dl9xqB9v^b8GMoH={8WbQ3o5dI}AUMVn+05!nu1)%M| z4RP`Z!-+Jl#vW?Wz6&OjN6%h#gT58RK^9QQl{;(|6&=g%3y}<%9WK&UZj@?hWCWc+ zsDfnxgdfK-Pn-cRavIaxwQFnPg-BDQm>`*j&O=u?z|Ze0+UJva70mPJFU|exIVvC` zqB?|wo0K~7`l0*;LbnGAf8T8@)kx_8UHjWBAmjpm9)+pomt9^9GvAU9?ZbzY#uz?c zy5g2XXVRtHN0J`KM(_-q9x?nDbFH*?cElTIzdEMeSh>!AkDMzC?eqO*XQaxqIa~9} zrY`hg_Sj>$TWpc#Wahzx3tZB^vWr!vJ&a9ToV8u%y~4bk4xGxfaYniRr-pBCZ%nQg zoxD$e)jcn^?2P$0t2<-M ze1`1YTU5YrB*V=R9O4cp7xZndsMI0m;wU*MwqgL)etrD}cS4#JnptGaJ$iaPpfoJT zhRy@eT!FH3V$3&0!b*TNi>IKR5C49J7e+HPaFPSlWQX(Q99-HxDO+J!26+&r29?yr z^(lydtnSf_bq+)*>}RfIpPHIA=V43oMNJ)@jbpwkQ;*Dc&AecKT68&jJ^7^DiXOp?K>m8U^|4rwt(3ebRQ1GTUOWnB4nxu(6J)7uc~2Z%svab zo!7g5s8?%wyd9C$nq@P%F!QRiz&;OWaSquEZw?>NJ07g^v)_UUVVgc?Gh@TSnup;@ zv;EH*l^?E{zLith{`MrCNan5~r zUtPQ6`dym{Fwnm?;b`l77lho_y7I2svgkVtAM?;EyM}%7@@oQB8 z!jrbPZQ8lGHW?(+aQp3MjUI2`DlnaU&Ws`UZeLSCW-HBe24)kqe4D*SbDcea1Ol@$ z0lZ}P)v#iFl%2_#HhQ9y&OZ0rbQoa2L4@jb= zzQcT7f31Pn=Q8KXt#o?i@8?saQzoiq(_X*_!W%jgB-HvS`!Bi4iFy+EcD3gEbRM@E zmT>6Z?`;K^!j=n2HD+>nSLzxJ9`0n zyu^Jb!L+>L8MGCI=)VEF|3J@ck<&inIEA3A#W?k6Z|~@uE+WNsq{PG)fo!zY3P^0W zx*JZkyRKDx=BIg1wLVFk|WX`4wI8P$YjlVRX^t+vC>b0BpZoDtnMWGGhpVd=ym$H> zYvoz$TXdSr;4LtBAeqF_q!ViO@Oh_!FN|~~PW)=W`EqdisJ~U+;+E{D0e=Ir!;qU} zfVH6>MdmV8VU_y!{%3V(u>1GE_8F8hG)(k?IB{%OkJ}Qi4NabMkE9m1Exq3TbN#YV zF;4Y8PabsKKsFm34c&9uY|G;tb4G?_7TWKMdt-FqL&HGTH2zy2a$jE`W?kvWocStS z>RpU+^t<~>9d?V^gCAdQ{`UKVf_&S~=`Mp=+wat*e$Lk2t9WDH+cxzr_aryWzWn4= z=Q9|gc+`)~KjLdX)-pA5;wFzwR&kgykkSX*?s)A42cjs6&#HzIhuX1Yo*5ZGoZWE- zvEJclt?)?fwhXl^tFx|csZ9;D6BdsU`AaVbfXN(|82h*-eDd=N7BggjSJc#v+xdF{ zLt3D)K7H=o3~@(3hG6;Ys&5xk0i$9oUtAW&CO%#)ux;C7&?wMrF9Ha$#o~)RB$Rb| zL%}MAQiAwz5N58{yEL#D5@JTzfac!?)XPi5Zift4^fEk0_3YQ;2#qh5v;0u^KxMxL zbPZg0PXhQ%J8=gL7S;GSN!2csHzybX?q}d3t3FuFc7b!c#Ou0a9juP$25$U#g8ElI zdshL+g(upEQ#`}|(WPt6N3k`+AbEp-6lNXXq9DFHG&FQMvG2+};TPzK`oT=qM$w4~ zVqO3!0Kt|UkEkk%=j$%j?a<3!xomBgYwuVtu2j-A{=~=Tw81vVj9)Xh6B^a7RLTu$zq={l2__w}l2eAD{p4_(z*?=Bnb zqVdQ@HrDm{%a*J1OExi{*j`@LknfqyB#IilJ0%XCMoT#eZ`o4PNp?dx{x-F}$FbTj(` zzkeZEJYH@ee;ufiG zY*%}{NKLX%Uqx&Y%N3@GBG!naxhZwiBkHbH+sNG49yT=jzS|&fS z`V0L$Td@2+&r+`&0{p8L8=jx`3gch1W(G#8F;Fz?!gj)W9Gun)bRNURCcM$EqbV-f z-UDHc9hx$NDcMxbp+{DAx=y$AF5ZlBzUSR>_P_iXe4ua~1cS+{v*5?O60*&9H;`E$x9 zIqX2r1?x493CgV75dSOypZVN0aTgLY={JF!SG5m<(F(T#kbptM9S@y)lscmInQABR zbtdfjC1 z@M}k?zxj+tJ94_q&K+OyV3pVVx=6hf5&=EWHzJ+uiv}Jath`Rk-iYQ5(kA?B+G3(o zxpY)7-}0-PlReSwQ*@en{!O{VYOBMqa4cB3Y|ga@&Pof|T$ReLK0ZeN{GfTOzFM?0 z)jurZ5yz63JJ-wazC6s=c661jlDvTM3X8?Q`CD;bU#I(RO_>q%o!2?X59T-KUvPb? z|Br{qd^tOlb*~KM9#&^0C~YoRi|h;!S6A+EV|pf*78drHW!PUOCeg$-_J+}!l3`Qv zjA8NVa;b&O0rHLln$0$)iUMEl`KIkYsJCr#@GAC&=6O54QdQ?H$ehHjF{;gS!8hi z1BG$%@o%8yF#U1%+&Kd{h3O`^k3Nv`nz+@ha-9KRbck1Ud^^zbG<%H8>H9MEsidVP zB`D{a<28-PKXyu+^guLj76dOC`x#@i%#yYGp|TM-Aur&AN5Z>|a>ny6t+$P;GP0;U z6Yv>RnE8NluVW7V3n9Q~Y+=AtaByu~@PW5d9jm5(&LKHwc=&3jbMD{h6oq6&XyMVV zLPBh!f$!5qAU0pOapTJV4=+Z#-Cs#Tz6tR`#TmbN&5eNOzJI)zb40-{W5&RzmnlWl zoZ`*MnoHfWHtC-utOK-G8T~{dbV@Iw<`8{oT|eK#^n_+3XI}|gV!nW4Q|F6I7cF`S zSPj+h!Nk@^?*SFCQTal zAP^Bb5Nq(UnsG~^b!&lP%+pn!t}OOVTkj3mIt*^?-Z;jh8P*lHL^ict(UZ$FvR~Qo z@C?T>KaVj50lzh?*Re0$W5E>l;`H{1Pm&j`9k!1#kGt^GF+OAGs;Q>TMG>4)Cofl9 zGgrC}ndi5uYsR@mNDU^NxB8fE{Br*4?}ec}S6>e;o9Wu0eXlU$^zI9GyjSvP_}uqr zj@!Fi<(SO7d2woowCBg|y~I{kUHQ)p9j}OWiChN4h4N~4Q|=1~=MTx9QrN_?_0+U! zhEGft?De;8P_21kxWM_uw|dsv9~1gqEr&b;kE+URZ=bRmSaK%SR4cW8QR!hZ+h703 z-h2OJ{lEYJ2qAmVtdfZC1*|TM2Q$otlmQ}vTqk6qA zpZELo4}5?4xb&=^T{xZR={}BeyIqe)JysP*KT+j8CHBkG(NuXT$@kjj@;-Xl9~1k% z(y!Hd%qr?$)}kKG&et?sXtS-ep3ZS!lhBQ^_@LUo=7t~t?%CDpWC%kh$hU)Ds!?n7 zG0^uDnfq3>LSj6R2+csC?_+LM(vlkzf(;GOHfo!@cljbCBjeN3BB2^)Cj8#&!RQvo zmxe1FniF4^KIbhVk>|r$=pnaw@HLeV45h@9?U9@YKX?haU|#5Fj7bNah=S*J5F{@M zDd(zxcIPP2&`3cEjCKIfSK~0g6w*mtKTJ)2J*0XAsuH$>& z;cJodd@U)*mtq5zK(xbtgh}&Zugvd9NbZNEd;%cl9~m7z91)-|5zjhH5Q?4#_i7{i zH{Z>DZEfp;XUuRNEePU#M8BxEeE%W!x&N84-sn4m=Z9Fb^&I1=lS9v`{H9NdYi4>@ zO_5_T@kNyKUX9fh7}iy{e3n(;Nu-XpVKTS+?749bY*6z#U|am`*- zgaa6Z>9H3G=&beG1eTu+r9Swo5uNrFGqBvId$=df&eBjZY2661@v-f57albiLUrY=ZSC)M!k0hPht9whl~r^H9!| z$WEIvOrr8x7>`|?ypJ_@;uZ?`QI+LoyJ*e!a%0W*%EcHZN55AJ`RW<%(IPT5v-#RT zbE{rASWItu(wNE;O25vhTqS?iK& z0vQr`Q|)D^!O2Tq3y_)&?k&H5Bws4<3@AB+am)J~l}0K*CX|ZXp}!XnNG;LkfaCtn zN6}8w;1fh7Z)gX|f}B&-Lfa;{UuGa7fl;c)ojkq`T@{^FBsFSYru z(h?rP!%b}Ld4j4P9+X0}32OCB-*>uvhs7G`MUREEUj7C&u((LpuVFFe+@a;S4?wOH zGrV>1w!t}&&x227<~fXNLBDwMaZC#iQF-~`0jAuXg5qK|12?F_SK|?`1salDr3-5s_U(-SIn>vLx0}qQCztDdqp-{EiII%=W}dX2;Cs( zFQrO`_dd?zE%eOmM>M7${t!EUdgn-0wb-O!a=IS}S3P+%N6H&g8D89%G@9*6hc={S zG%KH~QWO{5xNFHfUr@Mhx!PH-m672Qk_FP-#KBbReOKl3OImoWZudSIzq?&$4JpZw?vmB{EUWkOu~`O7n_cGLIIGb3(R zrbXkkQ)KJj4`M*KtKuS2fw6f~48xTy)cYjPzV(v9r184BFQp{2t4wz+YxiA+*(?w| zC};9wD~M~Z)qDaq-z#w4Dh{VFyYAY4Noa;k)>L?H7CI-O;vzu&eplB4mLRL4p%J$_ z2kUTqS8O;%S|#&bb7Bdy8rf(4vU0Cvy!){N!Ksa+KZssQUd>1H0DRllsS=7V&>pI- z4Fmy)m>=tYvcKBs{=Qe?yV$!BV?z1;LF(Ps*S}J_AsCqXrc-bJ=G{ArS^&05Xa54d zuCWqL9Y_z6#<&7GE5;wKK(ehA@b3_6Ut!(w$B)(w)(7cG(|xib5PDXqDQK*aLGyBW z^(y$782K>58bLWH`^P#m9GJ8*T|Y2~{uV3oW66D{KXCWV(q0P4W-q#4bze{oUl@TE zPY9yWl*{;&H=vXN@inzMBlL+rc?@e3@A%9&H=O=HR$6=y8DTY`n{JI;7#M^=$N6)y z2}nBr_zFPEKDp`+=dOPv|8DaALr~69O3l6WKlakyo6LL-ctAAL^YYuKB@%(Lk>rL4 z8PfiZBdkQ+-(m{4e%CF!p;v-F^9Wv0iEhicx!XOFcVp9d$L!)ZHFqd(?tJ0wM_92B z*RaELIMo>lwtin3U~N5$AIbT6>fp4}c2plI`{U_X;%i?zY~=ZOR^FuE)1?mXJTTW- zxC|@piQrd(<0*%}%uLLDbFAbF!#MLV=i8Rq^Mj&x1kmIi0$(HXQw0NgYvkrbWE0z? zFK4ayJRR`rT!`fM7q-L-`f#kixnX#AaFDG<1+B~DHniaJX}2_@kDj{I@uA|a3xd2D zDIXXk82FwC9oW0c#IayJ->3e%CvtXZV&#P2twpPJG%_p*q;!jT@(S<4Q_Tzm&Ud}V zwD*`MhoPZ&+zY_xE+CU%IeK1EIOjNktht?q|GDODERdMe%nKTJSD4sWB!1uCzyx70 zl8rd8186AfMdVp=v&)EWGGYpTir{uz^=trs#4J=CJZLki@0D3!16fuyy~x`!AgA^) zJ@_!o>c%Y%ls+6DCWX(^D zsFjBfcHJ8oK|S~|Wk)+h+%V|_640(%oYDiuV8x3;L`3A({*=?RZs$dWJOY@0XTX~U zJ5@GQLv?)FtpN^E8=(E51(AUf(}ye zJz5Z;cU=2&+<)ysc%#&vfUa=#6;lm5FRl|&-pdK&dR!y4DZ&i* zU#74K^2_a}^-shO{A_;wp?7?DdHK3~^An0>lfAb;i?~ZDG{+B01p>6F?aTzo+UH*9 zC@+*R2-4}jBzGICEM&EM7+utuZ&}OcYJs``>)wQj!o*aBR%Bb~xR%oQE@953`RV3M z_xmkBI57+vte$KtF8GK)rrQYcrnPX9A-Z0uenSu=_oMZ_cO7c9&*?UFtfEk_RcuW# z0;F6SzYp|V@Xl>wux;!woek@W801?SLW@cq9Lyl2m6&cgrK(alPgbK8wuyBOXAeup@uy9yXrn`GI?o zl$qJp={ev|KqBx8G9#uQSsH9im|p;yh7jY6OgJxfhf;s+Bj!Ne;(2HoYh;L1K?}2D z2_KwrAwbZyfk7tC0TCoh0J1@FiA!vyB_#ylxadVfhm{q_p%X~&AA(^?07hO69hT`8 zS3#p1WbF?cGWr*>F+i+`IJit2J-B{@kl?`$v5(00|E{mE4fNZLncw>d26_>i1PJ>P z7c;U6V}XyuY~ik^%p(bp72SD++uuNM`^zX7OqqoqNC?zJ&lX z;Qip_=ElNMR8f&=W`b&i1;j|u6`cT%cx@`utb#3)Q>`nhXyM?%^`mJ+`V%5ST1Gr@ z5X<@P(-K|W?;L;7(jei1KjG&`bd~8QPU+xboIRa#msZE8H3p_94^Vx+8P{JhrAVH2 ze}*3B!9t2^SBOup@ERGZJ?VIpE_4uZc$HQ>8ogZ2mGElQw0D7tZTr^Z6X(Ky=Cd)a z>bs_z4pLtJff&je)mcs(nNY~@IWTzN;uEQm{GlL?y3E%}$Wc9mVL8~WH2*Uyuu>ZJ zRcYS0+*C%SqVb_e${PvAg^d17lUiL>U3f!I>pm1S<`1yNE|nbDyE6;@A%OhOBtC4B z`0?rt1OeVzPqz%d=o&+eQ6N=7JV?(YMhnArY2!`tRp{%~H!}mf6THc_y07qd& z!RdZ|>$+$92K>Yj8ExG@Buxk{Nc8=mA}zd-G-#c*9``g`)5m zkYoYC0}u8{&(-zZIOz_^)jzJbWKn>PGdh|OFl5=FtArETz34?Dm=A#$ez(`wm^&FA zy*i^c0NNzv!iZgksqs|+(G36ChLm}!jLn9=@i)QuM1;P;`2buUC77LUVL?Mh+FE}~x^^F)88ysu|o=!XAyah~! zuATRt<>h5_>5H>J?!S39@MzMR`q!hvA^Rf(w3vVZ8MNl=yl&sV2*Tjw-QT-*h^G_w z(2<#VBM%~JK?H_QbiUet{o3iGk3c#rk$w%XQBW)eWo0o#zg9^N#=^Ye$7tG_(R7ZzYTwI*7{}5p)RGF67u~ub>UHatxTGBiA$Cp-SL>bc=048BuTU!=h zUP9PE=0?2c2(b#x7#ZjwxjP)u7M0)!n`H03fW#T!_dL$8u$^&zlGD6T6RBB zk#2wVgbBS&pD)8f@;q)L-k@0F0^2pmwW9W!4kG*EYY_#7%F%7E1t-Mx`8!M`!u;WZ zVi6e@Or+-H@2CW$)6-*X$}VuslO6Ks&Y&L4FsrzP9`rO{?PJ!z!W0!``O|>2&a|v= z+8BlYI^TNJ(D5Smi5K+~m7cx(A4ZJ#KKQ)e>t-Ff8d3V-f^zum$8*XovZV>)ifrz= zxj4xaY4_=$YWWKYVi)qq<-6yzp>YE^uO#l%J)U@|}nP9;`gzOtJeu;UytwsE_ zgK0RxS`1%u5XAtTfhZ&!Fa_mOBR?=KmiLcqBp{(d+M11iI5-$|kAA(7m~fO{)0`)b^3F}+r;D@4!y8uq`lO73ltx@bxVh-}1?ibRg584HfQn~F)&oDGa_C>N zR8VgbL{Gz;9$n+i@s;dQyf%wopE_FMXo7NRH`a*BE5H|{JZAlu+5Le90?|AQ7DjR-S0ym#&h=c{7Y z1I)G~3$3ruGw$TU65r3Iuach`Op1>W0^4=%z&mgBMiCF9uOD%AGn@tz)E*Zd2~;e& z9J7uvC;4G^C>+bvgH)eMS^NVC(z{C`I&fY)2HjqF43VIfs&{Eq?+ofh=ib47e zFbBEK;`GRvlac_DRiWR{LoAY8Qu5a72GkWGT(SaQ2xz0^Dw$8aSIq9RB#t{KnS(y(eR*6 zXhRd4MQ}}QLWbcfHo|qU&T&bBL@ERdfhn_g)Y@uyV&ZyFw8TaW`(l zfBVO5?~VJv!7T?@AvSn#sNoj!NryqM4M-(#6Y?I>T9Ov`Xg_lYhvFrYw!Wkr%;k`hsIhtdm$of0_c&gT$vKfk^?*-~#=mzqaBRLFF4 zi0vLoNg_c;itff~O$&)fwFOipqh7~o@OAdR>E!nT(}OF1Za>POfkf`hUD~!OUuqd% zdN^^VPs5RsjP-n2gQbl(JIpKY%C&aDWIr zYN!Sbiscro^GNF0B{rOelq>oZ{ua+HC5$rX|5nZx7>RGJcD{Z4w#sRo4?s~l;17k! z9Ez$vAZ8K(!1Z~VS^uGl2^5%N)4>G^=^>m5pu&Z62q9Ec<3Jmt=Fiz^Xl@<@XJ77% z7vvBJ1NjVuMx8*LN6;pPLJPiVP&)vU0y#*HjKn}b1Fbj(@Jx(^x2+gp08C3X^!jC2`8YXcy}iZY{3D~Mhw1QyFxE+|w(L^>MGLp>1+|55-*R5P zqD7t;@FzGaL7FaSYDy0yWrAQsG&%eJ2yn%gLr@+FC&0kaP_A?o7*b5YgRC-aVYKJ^ z2Cocy;7~gwhiW4TAyPq+**Q!%bMLiees(qn7$THCJw?*e(n!h4gMkJDwz9JV0s@lC zpEtj=Isu6N<`7XeQvXG0m%#OSGU4G&wV!^dD|}hZ`T|GchsPQ{i*Bf}l9Q5OqI%pF zY0t=ns9T?%Nc0_ko^>yDkJ{{fYkuc?_DR-YAB#q&3^Dy_%jc7eY+rQE&B8xr#kD(% z$#_`FR#C$_hf$m5gW>e!2K34HT_my1dk+_6l9fYC10Ud{$ve+h*{!HQ?++O_Vv_aj zJanvqjQkw*C+uF_|M?8n_mei7!*6d#z+kL)s^AUAry9!(1-F~-n#i~c!uCbBXq}h2 zdB!k4wI2P7!Wgm9k2Q&HY>SpfNt1?SsE++P$h;f>6ksjIjWQShuA!NZVTCb41W(rY z0oTV(V}WZXJ^m-CGS4B|xbr&rHSy{{xkrI&<5O(#M)kKY@u8ZLK3)y==jURhR246A z@6VYu95ngMZ}ajpO6;~=`CPo9c(KKzMKkFh1vOQ4aY{_MUU$w#R9Iu$N1uh0hm^s4 zCl3_uJ@5)FuAV2zKPJzUF!h``)Z`;<+@YF2d3k3t4I!~td-nMQwikUdKG3UcoP1cmT79|^g!P`q0RlzOu>mg)~&g-zC z5qFzj_$UttpobEYCKgpk0yDMxzS?XeJeP$%XrU;s&%8w)qtQo+2g?h_XouMp&?z)C9WS1A8kqH2O$kFJ+p-pPEiXukPQXXD(mXw}{ z_n5(O^jBZ42G6D`mcZ~iC(m*p=Yvg}R88t)lBfZb=5I-yblSLM}?y+v+ zH(YY6IyOnRpDM$5pcN@QRiGtH*w`8`y7%GJ5Z*^e=V9?(JKocMQC_1IVtbLL{DOkW zslVtfHj55~jRPPeADB#AmnA|^1YvwW@f#c1&nai6WuNCvUezom?s)&6CnvrXx5|!f zTT@U&BO^-3rN$+4(y@c4;q+W$H-FIH$C(Y1oRXrkv8Ox>se-PICue@;0ge(kXSe!| z>icL4O^Fvg%be5JLRxss3KAJ(Sz5c?f}p5AqJ;M*RtN|7tK#KI%<)a28*Jlf>R)=RIPG8#9EfC`a1fL2R5%i7zsv{41O zHJM^(QL@Df>}WaX-DnN$P@IV=yIi`n_21=4Kiy>I5)dNB@9Z|54!BiI!&I)|`byEb ziU8~PvHy9(o*ji#+-`CI%llVfUWR&9rBIH9lWZC#VT_e|lzHq%R=S74e z*U?+Y>iLu__Z9JltGRSl>5>u7uW%n1rMt!}PKHP=g}$pGFW$AypRSkk>A}Me0fp}4 z{=OWiV~5^3^(2F=Q(whmgW2sHx!DGrV-jS0&Yw`&d6$$Yrh+lbX50zJSOq;?0AUM8 zePR<`lTmp?KnRi6jrbeE!-Q*N# zVVZKY8k+?ZE5%+&F%uas@;tMzp^wgx(gP|)-*tFXEk{P?&<>Y=W`zw|y03aAbK`K_ zN+R+ueESjpP43&XDan;*2cNE7dKa7NRXTOn zDSU(NBapE%M@d5irW5tQpwEQs{QtIN+AoR`1%T(}%~8f00;m_tN?-N)==D1H$cNfu z)G~2mK7JXiu;=b*|HuT)IuUWxy}n651L4a~j^YN6`LF~NXw=Tr#Z?tqf(wLy&bHs7 z-u0R&8|j;jQg4E`y4vF~joTc?Ca3QlJeCG7X)A}HW%GSl271>7nxP`YR53n7;q~bZ zC3}Z!u+mgK&ex4u@@JQn0Ok-mH&AB5_z0)#F4!eNYvOzg*Ka;?L|@^=moiNa4WL8E zA-7!6PDVamH3jKB^Ux_3`A~eG(E%%uRha#h_NDPoXHVDL92V8C!(_A)7p)b$LfND* zgG?RO_YSNpwjcUPrA&0wEF$*56W6;++_$D5$>0_eF%V%7Jbi{)=C)K+;@X?}bupag z>6@VI1$LX5bZjdx$vUk`nf;{&Zn_HFbY|uV_?7;WV*Imc_oDq{6=xp*dDiEl_~3F% zNf0_RM|zk9lxAHCz_zc%f2ye3r-fk7*##u<%H5jDKs4FbbI_fHRAYJykq`1(CBL5W zs9Cz_{^c-_szD=cZTZ=q-t+8iE4hPxmKScPSC(<$VG)p|5L(9c>lP=|ig~BnPd&=o z7WHeOxVo5x-m#*Wk|Z9QdxY?FZmHtVqSZQ;I#Ceh33ZoItOu_lI7CjMkUn6(#1?U z_U33u=x-8D1fr+LjQYN%rey%gR&k-5trLr1^3cyc?TvG{c0&OB&%JIeNDaU+fJ@%If81J>2vua6^`YnAGrdY$ZMDa4YcSYCc4t@mh zP}sIr4ZZpER`g$yjp>?mtE;oDoqsRz^O6lLg1k8DONr~JbF^)2-k*=&cUZdx zc7F_+tKK9L&C)S4oV5xqjEQIvKq5V`TW^_ajJyxWP>;+ z#`s*hR^LH@|s4a%`)}+2K;;!&K_PXs(r?(zv_F>@i z)1!NY>fr<{mi!saFC?Y7uyW*nBk!)X^+(RF2X6hO*Zbh)1}f&C`zOWn?{o96?Z@{9 z&szLD|DWVP6-O~sd2w$_Nb@prUkvYIV;cv%lWHvOkV9lp?l<3jVy8ie5(hb#<-^#H zAj``gX!$>Hr>eDbS&_N!(zAu7t~r7Dcm2kTJdy^4rDscayr27fy%ER_>qdCshw%qX zmby<|bq&us(o5tKzjHD9w~CTC_Kp5fa^nX_Mr@D8Bqd*;@@!*)LK8JL-$loUesn#O zmdi2g*9=)6v6D`9Wo%0P`7?b-^?YpT3dKud3gx3~9c zeGvpL#hq>p&BbT#tY}S4(I?AT2kZZN%^L9*v>i1=bzTa-L?t)h!ds)mC28iE#utFZGt%xTl~t6PK#tRpeq&N` z!IWLU8{hk^c0=Hjd-1_>RQSo*>fS$l z|0{R|()A;RU+FK#TG_|P%E8TvxP1FmCIegfSvOuscF+&uwPb{QU0`$12SG_6)uQX? zs|Lc}woL@ddquIV8UDRUH#=U(DF}R`u^(A^3N$jMH;d zZLds~u;Llrlt>@lf@Ev0_0CFa{MmNy?COH|>(9~-N1SlgT|8U4@RK>fKv6&Gs5)a7sa z->fZSTA<+unC8M)tX~RB>$puDIXOl7IYdV94i}b!NY^pOlodys+E@a0n{vB_@V(WO zu>z)c#z#MRYV@7y=jimHreFJld_%FqouAQfoRw@!T{%h}gz2XT{_`#WbCTDBqp_&m z;K(i?9p>f6rjc!7A~OzIRys?}fp0-hGa&UZjGIk!JD$ZwZl+J~uIQX;m_J#cuCvSN ztt($QNLCxS3(9$nPc9O(7}u&-ESqg46jTeZm2ZSkU|L#W!nnwQdwPH)QElbk{~6@~ z5jWkRjgV)7ETIYKC=|W(5XP>6chcaJR^M<~l^{7;16ZLHWD8eRnaY_+%QERI_y;Qp z>|cI&jdFR;Hfu zV3|#b)9*_jEIM&sCq5I-Gg2E7jyH^Zw0B=qQL%q#b=Tac7LWfq@A=7!!0cB?H&veB zT2Wvv_G-p|s`Vzm9rJ`qR`CZ-9#!CYP2EdVu0Jt*{lC+Gh~*A{mNpj1e|5MG&X_Qe zCEQPPuU)^B3yF}(A#S3aq~BA$Z_hjPD28UydR&SwQIqgv+yCOm@%RRO6RyX)exF9Y zHqMbHNK6Ed(@G{K!E=I-Gyk#~v|PWfv_*mj(0x^kGRG(0i*OzN{QP3vbCbDZH)(H)+H$e6MqEvUYPVb(7wqT$C z`9b=mLh>OlPvQ-~PlpmgD9Lu|!|}eqPmHayUE=JY7Z0mYwu<5W&3JJZ7>c6GK@oUN zK<-aRviAjZzt?=Mbrj(`!^aS5`@b*!^Rxf&Z#4gYIDbFuKffoO`L3Z zw*U9E|JNJB_W$1P|NV~q|9_EWCy8VH&u6_YWt51|l$>l|Sr$~$NYFE8WU?!6vWsg% z=#x4%&1zB}&y%ckbgWQJ6eOSfsAGU+C0+-+t5<=6=Im*aecwWv2s@QrRa;(ZXmvAr z&%SzU%m>omJISv|?FQGo*92OQAgGkw(Q6 zp9f*Qn6mn%=S5<~M}$`fKiv%)vVAmUs}$aj4c42)NrGpDoBBLCx^HrfxMnMLJK(Oi zMKPm0PRN)FLY4F5;Q@rrpJQs)Ube4rQF79k_^)GILs{s(vJi%Bu@OWA^7*=QUn_(4 z$`vh(sI7+D@gfLX* zP=`xoQ~yYzd_*>XkYz%Ka1L__v5d!C6pb{=oBvD6p@PkfoA7y=u%~FDrJ|ys zmI~@%7Q%<0-Sf$R3kcw$v}OA?2}AD0D61;t+7fW!G^AOI$c>w!VvlSFuVsbhG-DOS zI^qT2p5;k-ld~NcY|3!1bynEEQ$>zJn%q4!YouxYKDL~!w~K^UvdEmqZ6QZ`&mxzR zc6+b(V?34%I**rh0=txO5f^VKg#y{qfbI1M_7zS_N>)VN10(3_@6P0za(6u5H2$ig z4^hNn<>jDtbI?^)jg!-P7&OwfmI#_y&I*}``6K-zmvUKuUy&)I%X~NLO^Xj(7haoO z2rXp4$VM?Fw}oM=x3M4J^S@8}6^ha~Az`^H{l6sw2ru8!QmA^xG1+T%(@tpW-MgV% zw_?-$eK9czVsLZVmDwbHg*#N@l{V{Umd;=enrwN0k0;O-^1{`S6*w zIv0_8ItXyvieGRzOPCPT1x=tZY%hee!8?Zw^7}&`jC= z>AGDe+@&a@BEE{wh~`2}3^^-Ily;o5pO5epl`c7kwJT81Rrk?9OW+ijQzXrNaqqCm zsnmVCF52!)N!oSYQL{)Js$&ccQ%@GK4#m@pVRfQkkdl$I@3GRk|6ey+GX=JAW}iZL zU3t+=Ek(ip)i?6hw1h=6et3J~B$y_cr%SY51DTIsP13Nju*$8li!9NZULP{6X1bg_ zZS`?fjXIpgB-=?G$9$Lzd1peo@!H*lNXcawep}I5h8AXu)Y4U*DiZB~Gt7Oh)i{ug zk^Q2DDS2;w!mEmrJD<^Jm|eizmQXoAOo4Urc!J__KWbP-J)yM~FS*cM|3*zKWGilh zi-cO=(;sQ@Da>!u+G=QYR|!PuIGEs6UxJ2pp=0c<>g0Lo9b!d|`m0qpFZ0*UL2{j5 zB#wcBI;Ym2+U3v}n-wgp2~93X)&Fb5c$VgtkbjeLk^6S#W=?6jrz2f{7IV#<)#kal zpsSKtQ>c4Izs_WD4$Bsg$yVse=jbWq47E8Ab~*}oSPQmW3wM-VYa5)3jy=L%qG!l1 zb(K|7kSdchm>nK9$i27jNLgVXGi$Ys%DT@wf8{l8Ntw<4?QH zf0GxXLfqgTT-CI99?dCMit8C87Oq{&7E1MraRZk&_E9OnfDrxgOPd5riVJ&l48m|Y zY;6&we+tCy?&Yy`vlg{_rh(fkON13%i-)(bVu_;0l>4pYn54r^rBg(yQ<4n*!XUz` zR9?h^`J5NZY5a5=_D(~&x%p?-KQMtKGpMEW-qqX}rL^T(>N}-6X%?X_PE@K48L0Pa z4yxzLdd()a-qLG-)mheJto%gMT-;fF`^3N$+p&XmfjLsPl^@$tKHKO>E=NbMeDkqh zMTmSwFc34qX9{l9Nyp%B$KW^4vQ0TSh}CqNe#p*VzA2}nSF!)?cWZ;IG&Vb1BDB{?9;9%>J_Y<6(<{M=PHt;O3I*FC`*TQFZ5**ViLWOUKrX z-=TVF5b!(5VxW_aAQ;13K`Jfs`k;YXbiorg+Ue=0^!jfetfpEt=-HiQ)%1FdV&hvl znkKJC!u16?{H5so{T>&5WcJkvJA;ugPC6BDiyd-7j^PP*Z6Iy>hu6BCzcBJGHnwO@ zVTMm|>~}p6;pC1Y*EOG(SjQ2nG9~{xaqM36Ae5D{0!0%1jFO`JEqktnb8qfE60Gss zl`N}LE?4w3;D?${B9Mjm{4%F&qXXHQBEV=x&c{7CAX?2#Qr{ z-syni`h-^zBm0xiDoaN}!NiU{>GUVnAY&T1-0|qLw|$ArvfHf&`PjiCOU0g0R!Kg} zoP>5A&Tm?-*K^_()-P2!-pQJByn1ucY&y8{Er+ndRdjV7PVnefjPP?_QO|7JLSjmG zHan|9? z8s3#`WkJ{kQE7;`GAXyB9P2w@7&8qv4{~Zk`8nYIF_uu+hu)BdNu8gp=iQ0_cbMK+ zuyr7ie(NXB3h{Z_2jA)!2yi;W^VuCoI79La6oUlCEGr(-FK4#_bRKVgF6d`}(HisfS7i9K* zMv+UVmY|cIou5|#3&WB>P3P8daPUWQ%BN$UBTC)%i5Fu;Z+t{0O<3}#rbP>Mva#I1 zpZ+-XjlJ?rraa@650;DOXJg%+b2{vNmvIHu67Zsk!_4OVux0;q!!DY9;1UO@1FN55Y2HO0+OG5>& z?j{9>UqUo{jlZS@Z}5xkk!z?m)Baw;C?=^Mu#}%+u@!k{DL`v^*ERe`n+|RRn@;AhcCvSSf`up zx7v$()vVIl3SwX4V7cl`h*r5Rx4iMCp6Jy?19o#4mwvXBqvGCBZjqP|HWLvM`ml_H z;%&f0^!8;Lw%_Qe1n*(j9AdAQ;H-K9272B5);MWA^$(uw6b~u0h;pA}9lD|8Ab%mo zI3HhLb=N*bF)ploXB(pg;}a;k9oBwaz{85&;Om+p3eR!fXq3-~_|{CFa()mhmoAR>N9_`gN$FTnspuobI>1JAVX!2u zDh$h7Q)F@u;`W%6N7@rCEEuq2fHGD6D=Ict+1VKcx*R^J4*pnsN8m zN8#1VMOBcA>!0lpaP(z++^QaBdCDJhR*{{J1$XX|0E!SLr)bH0VxZxO%sT!1@#4;y zXZGyQfX<7#Cca~CDsC$4-WZknk>X7frgR0(qwp|R&oSq`{|ck?;UBFjADQ6z4qc30X^_~w)N zxX^K{drV%qZl%djij^BX@dZT!BhB}H^@qP;&I>=A2tB)A?oiIP`MzRxM)4c?%|jQ` zD$x~8m6c*BHFmVyhjfn+?4z-&XQLPQ4!%V(jyx6dIP{T4Q7_vhl4Vg37v|VYDe)z; zatko(M$GX)zg)ywq&$~E?okujYB6=wV`6*q?!r1(*P0UtJDaq@%Ak1(P`jST2F4~D zhBx||=YC{kx0C#chImf3HLCyOV$Ai-$B_lYeU+c$!uGj`B$Z!c%4C_vb>42e=df>0 z7d+rgRaiZ1s~0FJxdcm z{;*3SZ0uZ=T-EIwgZC4luL{bo>EEN{<3B}PS?~@3i3>AFgVNII%^uE$qVpud=mfJd zYwGIIMMbJLWoCRT;O>TDFbU6|MSwU1~2cUm9vuDFD_^*=DzxU!O@gw$QPb9 z_L9c>;IpYFPKwJ49y*MAY|1QpN$=@T|E1Mc##{O& zqbR0p#BYS`lNOtNy+;cPTdMSA;b|{?(#3T`zBd{TNdg6{`e>A> zFEuq7jOHO(V@=2U<-s^&N-|#y6IZQ-C5)~SBCMqM5A&2__R}KWA(FtiT2{rouHx^6 zqh+wJVyI6h{&V1J&A8>anQQSNR7<&iMY-rIC?uMnJV+NB|W*f>v{$sA_+j4Y&?b#KAK+SEeyV z15zeYy_U0Z#_LMVV!v)7)fqN@lr~0y&;)`Ab>-apQ0E^H;p>x8q;u}&{Fy}h=NQ|j zwYg70-1?h-g+#*WM7KmlHB*dYE0II4cz-5@;B=6mFe{MjNr9%yRzFjbknxlnodI&RtG!B9++>;C#Jl<%ij(eSCduFII^ECS!P^ zrgmi8u0SygZ*L|cC`lcsCr-6(B3d+^v!wk;=SBO~q|`gYH#UF$U}NMf>U3#+EARa3 z!H?BvHn$HBcbW$uh;rNuRmQRD$`e-X@pb)zhIm#(?}9ZsyY5Y+xYxf5ho%PYe9cL* z7dEcQ-w2@kJ|lW2;@RVu^mkk#(ckKRbei2#J~da1p~?S(+>V7ya=3KIl`VK)K#22v z43miHtvUw74@&59Z9`^d-Ou>%2O7^O>b;hkn;cHXpO^n0OKh+)6B=nzhu)gd9qKki zXm!HvtU8Cs3Uh^zwGYmaYLhL8H}qt!}B<#UH* z;a9m4J8&U$az4glZj?gCXr&|sMS`!h#ikxhAN);cpwy-lgsYy91yut2WOD9&EKpIx zBqn>oPWu;a&UGEO)!F8E6r1`dR()c=@8J751#ruHnTi%fN6LAbVkh1DofqDOxV>Pw z1Pt%GLeIc(TvG;ge1N!vX5STP9hX4GjCjT;ox|XH-l|lAnQ-uFzQ2C|NY92L+2UXt zu>`g$7~|M#OgB!xwtY7Bh!HidrcrsjpIuP!=T=bLkJb5 z+Yi2=w;-8wWz zWmeUFs*xR;xfewrzF-{FGF*7OI<>i7c)ayIN{IjRwC|G!UOOJIKwr}E`YewkrJQ|z ztF8r)3%9$DwC)BGqSPa06|F_px8EjY`QmbXJ(NBKuuaS1z(DFfHR=L0aa{K+#n^Zl za8@E|H~-DmvCBj3 zg~*mbOQQ12gCfF^#9=mu`P3K~=G3Ci4BQ)pz^dBsS4(`S#WXxS$so_Hn$+z+Ux?Wo z{hTW>&07aNk`Urex58~pOE}N_^S**(f2u(4v_%=Hn8ADUC$!5-Pmc!Q=9k0UYjQrh zbghgfZIFBqPLynT1|+LL3MnF048vs+o*=Q3GY!E#?z9;Gc_}-ZLkK}WIgaL3=bs_^ zz*JP^vV2u{z`1%}M~;b@YD8|euxmuO`jxF7TSqYN;;ZdU+iDZUEp`H=M9#~X*F6Kk zn*dr~q`3L>zUjMV`L&}R<^<0Hf7El410GBfhz3ThNi1to$DK(l7>b3rLgJTrFq-)y>tupAm{<(qDXrD#x>n4$BTNEujwOp zzE5*+Czyco>+&22Od|x4axnr0K4>p zEf$7+M8HPq`_|%J{f(fUN%_Pto3WLVJG_6;U*z?D{D=4g?W)nlN**RGwtR1Uj7yVH z5O39d4pmgRe)erin(nRX=BY1eeZiRq&)%LMwyQ=bU7BEhM98q< zmIO*Mx}u`r>IRsOVG0L8H_rmX55ZH!CnT`$S?!6+Rk2kH(nt_o%Pwg+4p9fv9I49% zG!_LZRXVCK8@q_Ig6>Eb6e)vOC?5sn$f}mOG!CIv%&+6Dn7-4QHl4X0oXLVGs-F@L zB4iYiTF3j{cl_LU$rJPbGieIdS4x+bc5f*;1<)~O!sZ+)?4JFhs+rPfUgQkYTufvI z_Fc#w+ic6P$_C65j=pcohUYe0EtEQ|ZD>6gKRr)($5M{|K>@wYB4vl|i-}v)&y8cyB}Sh-Z(p5f!^$JByB(VqJtpw!6LVzch_od3Za z!V7VX>4vI2&!ejCPJQiHNR3MjxP()auF~LJb>k*O$%u>PMKk9{doq@w%%kLFo;dq7IHdU+qTdH$83-M8K zn0Ej8+=MvwIF8*vHy4$bc7kKosWkNgIA6dM21f69%K(k>m<4=6-P>ER;3+sX+IE+R z6A}{IyW&rWN9@|ZH(#9aEFSW3qPo`LY=l= zx+Wf7&RH(==*f{^%@X7Fc4LtgYnLB^r01*7BV`yjH6a$}1?}PgW{G5z&=z4|JiIfc zdxI;j0-r#6Ok|wpg45l zwRjY*a^r_y&3J?g?vr<;s1K=e@vNdNQ5qGp2HP4?5zjqY80Tl0cCM@)XI2`j=uHs* z=2ldjx&Cq^!jQDe@g3KiC@u?gH`goS@_uSzHCT7nhM()<#D2y z*j!mWdv9aZCO(st%`=rv%u^y~&4(d%HryknqWkxu({Ce4O)hnK>wSg*)BkHzx20Jq{b?ixq8+ zsI6c2vIvWK4yHd;2YPc%R?w?03QKzj<-KZ~B5^-FroH*DGd51=2&63{KE`}u-+4Ms zD&tGcue#r^k4!>>_+V}F<=JGf!1!H7C_sUy8`db)ta`xSuGBex^mpK~ijfgDj7)_k z2EQN_&;ef=5Dij4d_P|gQOzS5H*5)`jSzPkIA{^p0uV`6{U zUs*Sf&Ai*_dtv)uxV_S^p0MCe)VngnIOb`Wc_#w{N|^i-3HV|*$=5&0+kU9_tg8F@ zNg^Xi5ncnh(`B`^h>6cj;^pd^VOCdFks?rL<+$@P-BC2`;^L-hkJs%k5*1d>E!`=) z%eA`g8S|F;4OwnHqX1UU6okLELnV*-+3pf3cWKJ$t6WxJ(MIPfNHrR9Mm1Rw$s9#?I3p&t2*Y%yE3bxCe8V$X88N9vi z(FqpKdz&88{kNZH|5|Z)ZW>M!AQdICNYainx%8^P>;EI{E#sl>CGQ%Nd-w3 znNf1)Q*LCWB3@bMGf=Opn5aFu{^JDfX(Kc*SqJgZi`n8#@tPeY?U61t7lT(Z+@!5z(DEjyTuv zt!BwfMQ8gTI<2Use~Ag~3LDc^@0^h_GKo7mXbW1-oZ(!Zzscb+cwFB$Fg)A?Ogo(J zZ?BZM&SF7;&CSgPtkNKW767n<&b~fO^GXO^+wLzJ zJtc)?lPBjF-9Ne=ak1U@&t{&P6PS12;S=qLg|72v{9^42$#}haS|IPoibEx+6FH%m zm?Fl8tsxV9o-Sn03|85Jf2JWIz7AG|1qYh~lT8R<+Vl+aTxdf^sk%7AV`8L%*bKbd zqJb?x!tWkb>uYw1WC=I|ApQpsE_(FI7je!k)sy5kOY6 zaVz^9#oVEdS6zd{w7<+&)HJ`uL|0k7*Pc45D|*k`3lCf9{`s>qh3DOtKa4RH|Ns4# z5g+up$7F_B7?%SKBl926i%>HT=sIg~91YiEq>EupdIh`sJ`6|CfcHDYoiKbMB|XSu z^p>(nMGOayw8UKcL4QCMdaLz*=CWi0ijF5cwy0++MI4HRR5?kq^j1O5$dyO4QL~ zNGiMh8R%v6x*5`ie2XQ+WKJig{Lu=8_Wv}30($P<`kc0O*(w(1Ch&^5zT_ObkL0_B z;1kfI4_ApEB@v@ELX?0c-8R3jx^6fcT#~sH)-(si^zo>XGowOt@Xs zY!nVB1NMsuV-s8qRNxzd$b7)|IPfHK(~~|pUK_jw%xc6MF37SGFg((*P$~UzC!0 zracn9GcowrhMVFRcrN^{wtjMYJu-!7VQ$U=%+$O4`YzrZ(sx3s8=IREhb2YSM-bGo z(Fmu#%E|=3KHxgJ0xmUOU|S3lp!Gum0qnsl{;W1kZ>|S_eYk+|?$&lx!#7Q-%ie%3 z3k6stgp=Wp5Pyj>tTT=EU1GMlMfz3dch(UST4}2*Jw+AWK(&Mk3`M%M|Lc?0q!NmB zai|FF*uDNN$Iubqqp+CGA+@&SZ(1E64|^jy4%@53Fon8y&RlIN#Y^x9J4i0h3;Ag$9zJe zxo2t-Em`M%HE-g9kw0}C$XH3>o5Dp;v+V2T11IHN@;yvp>ZA2$7tiM;RelZ8y=@R7 zdc{m_RdDW0A{aCefUwjO#)5u5FY~ieEY@*@q9qbDU)~Wz+Fp|M)n!V%v}`RrG@_=e z))sSGtnt4ouihKJMa8UoSUqc$o8x4%fAkdRBp(GOlVF;ODFJBM_{9y3<(8azQjUUIVmcRCZo88a%2erDGZ3+ z79goce6YYV=24km$P|!)5UfbV(E%>=7)3P>uViO)?K>T;Tf5ha!AHHO&WDSa9xT@e z{Wf}svt|MLooH$-jBU&1*t&^dL0qj54=vlWjW=?lQIMI%^JsL@`SlEB0RNK)fPdgp z)sl@n?Pu0Q&4eQqV^=K)mq`P!_a?ft~ z$;aDH5bQ({)A%LQ_F6#Dq(=ih#vF4-lQcB0U%X*;lKz#yVAfDY{LFSNclC589CF8P z*s|hf$7WMTlYQ&nssVA({fJc%OEFtfzBO$SpN%rOj@xz6%>J!N3%yivm>^MuF+%VfaigO(NE1TilQ!_7R zor_bpX32kZ&dhB*vUkd}@Rz@PBnvg!9!1|LK}QNrX3j-SUYSPrzV&YG!{jVnUtZqv zwCEu$xOrdtGNVyKWy%Iz%7``@;$mlO+h1M|1XlhQAdq1_uG<}+AuxlLH#9YwgDMIl z<|_=SiwK7U;F$o(+qcbTKp;clL(PFHR0H6A6HN8_6^&EseiZx~X7mDE=vC;}5|AV& zJHlf&{T{jLG!k?5^)d)N$MTNd_*PZ-&sF&pqjVuTXm{CbmiGmXJ(~~XkQ=a+0cKI5 zWQwTKOSOoo3VhD+qr8pP=l*p<*Ynhw!2Wv>@OS`5QFwrTz2V~noErK;dIGHeOgI@Pl7su1Ne+Gb|VE!;#+5 zHfp!NG3mr(JdpnCFv=`M_`g3ge2MTD9um^UQ_6}C)AI{xQL|9!oGTacn>P|F6)ISi zBBahCgvq`ONL`6jzM4~7{8z^~kdyI}crSk6XN)Zck3#w$a59@>cPyj`gS*-M3)>tA z%g>+D%m)#0?phHW>0;g`Qtsn<@nEamlBum2`x_E09SUsXv9`{-B7;*1y9W*16b=UY zO^wMHm(ZrAg2t|+nR!=DIJsmDtADopyACb3jzh?UacWnm#Py~pzjI6wlb z)pkhrN59$_W?1z(x4S#mN`w@y%(KvySm~m>*U{E&V>$up>#^<8zrj-AWk>T#;}mr7 z=1YU&wCUPri)6mK88C#o1XePFAxAQ?R1pZ?%tV3Gj)$4B3;4?$0B-N79ra23XxxKC z-H#tw6|L9I&OZ>E@k=v@nsSU$Ve&o40We3 zl`OWYaF&pxoUUwv$JQQIxGv9P_4!cXnYQ8%AM9W1Vc2mBLhD(;yya}gjA~dhg zC&p{iCeDQ7>1)ME#toxf`Wj$>aDROLq7XNi!}v*KvbP&sWYC!L=rya??`NF-Dy7?RnHI)OV-oKiZk z8#e0I<)taGyN3b{DgyG+(4>Dasr>_7HW5;R;P5X24V zcwT37TSmvyiKTYzzAo@0go5wP3AA^O+YH$N)_yhs;b|kEKVDpUBM%v!ji;A9T>YYA zKKau3pJk$a2*Q|4?BUj>aP3ECfJ|X;T;F_Oz^<658CR%TJh32+#!B*=tv_vDmFr*a zeN!mfaNp*vKrL7G{`lYNr5~BxqHB9zjpxY2eMEHq_4KWC zDzSpqQ^_T(0rvN97@w|hJikuy@4F2Nrp9%pE1z7WbbjLaq>l26?;|=vmuYv6)FoP) z5u;UrPaC*qLI}gC>uW@5ca(jxQA;+iqX#G1Li1?JsGRch#+*Q*G_)g>&_;$?#fKxp zQz#xFj8tkIcd8;PbzdL`y<@0^a8_@a_J7`?Pk1uqApQ`H7TtQ_3k^LIBd$qGT-x-z z59x&sYRB$E!9*G*pM5uAOGbg7(>xq;Er2-U2k74^+#d+@#I$%+u+P_{>Cg8vJ62GtN z;J_u6=rx^=Uvo@8393piVOySIEE&t)PoH}G=s%x_&l8Z+c?)B zJYJMC`}%gCsOM!uy*DqG*9yf4PTv`yDUNfQM__%oeiBp|#{_Su(A~W~;@B>su!A(( zGTX8Eiky*Gda=%Dwz|Mot=9t)cQ({6j&SLZ)lgD}#OQc76dwct* z%@i|0WfW=D7J=^EEr3CH!#q#CsJc-z*rTmu%^+ah3|mFyj2QStEigTG0S%7Zi?#=8 zHMN99Sw~n+)Y|1I3&9$}2_tFq1S}18%#|jl2*(5ghp}S5a0mwY3Kp-)!7$9g6YK+i z<8TvqYa!{7THu(Cund$kGNOj}ao`pxrUuH=c%t3k-)qOsC3ivBWnw5o04g9?!*US# zv#x+dB@DDgy&``&ly&HY8Ou6Ri|vx{@?ceeb_mF3(A;Fg9_bUonjmtJ`1v{#Zt_Rf zzv6LA=yZ~NPNCfY3J@SvkRu)Q-VU@`^>N5G*b{uhki`+H^`&?2lnRa^AKYn%*}t+G z$*kRRN-G)p_S}!LVwCR_)h7vA93Sj!^d|@J(fVE?nKp$^8@gfFUK#9qWo%#b-qvt^ zfs>Ie2MMe!a~#T3{moA9B#A0`_Qs|zO<#*_V^&)~=J8CM5LV_N;!~Fk*RD;0F1m!r z(TTHEZyCOro@SUiYNcoiYwrBKn~@yb*(EQ3chvXKL3P1KKUbeQ$xLE5S6P}*Zj=)@ zi1W7#!6LcYpF#7Le-6L%ipjjZ0x8ACUpemzHShPKh%y z7zydYi+{@6h|EyAH7s568iRr*mIerM8Gs-n zS^-j#+14g@4~RUB0;whgd|X^ah~K8A1(*EP{;eAg-ezo?m2XH_@S<7@zBlzdLNXTF zeZN&g9mQ~iU{IbL`x)8t0Dbj2GeuNL7Q=r|ejaVfXutT#G!Lxx2a^Utim>Kp(HYBc zF6$1yUQP6HOTCPTMWgo=6uYlmm5sv2U1(9PLdb|)ov^|)SWh($biUq49OBUS?UW4N z2DC~2#B=pRZJqr@U}r-O-zahI3VizrC`f(P$>Ow607|KEM<`VS;# zd;>KBJ31^y#qKc@7W#zL`FFVbuSQy12ACu~f&E#pEUiyB4hnK_G4uhzDuDsWk`CXbP3w6ooxZ<0r; z9;Rcp)57Nmm~7vFbZR=jVIVcz4@Q%Fs;M?SkC3HUlT0$K_Od>Hh5z-nd$pm6{90x8 z==$^X?hd6lgXz=hoio(GR<4!?PB5$ElkL4bqN+ksc40MHa5CDjkw})oiHx615+c_i zlp?eYy{FaX-=5>#R6h`V*#wfu2MD*w1Zh;XMFPRz*sr_c2vX%pP81hF9f9rjqjxy(9~wYi^W^1C5n*Jtu#jm=Iil5`?Z^?%K;q| zOH0d3U|E{;`#sPA@a$?YIrofy)D)NqN=HM!V-8CzE;{C@Bu+%(Q3d=CT0a#1SO+e5 zi)ruo?@MaU-u>@%4n*s%-Od-ZIc3G4Z58I`5}oaFg%XtfjI8Z)vE$^wL;8mofS6=INUrbBvnI0w^*h2=#<{-IRj;1hVKdw_u7V@ z*iRCmoVH%AQ-X^*0)DWw69o=0F)&-K-b#*brRwEM1|vZTkPc|R!R~=2EP^*8X^?*A zU{%MTt`Sn(e3i%?bSF~jdhQ5q_=PTH;u9go+8OvuGM<>adq?cEai~(5*Tzj{ULG0( zGr>N)wYL|8xPS==>gLSG7P_GRoSKM9APd0wnRS`3w7>*(?F2yn1e_t5PO)Cy2Yv9$ zn%}EWx%ila%`I~>##z3R>j2CY#|5Zjv=Lfm|EWW@npPO?#JpsB!37J=e+7c;!eWgV zYEGwEa4QH#L{vrCP-drCY+iJ@)aoh|tTiLsFR-|vxA>^WF7e06nvUafTpEgw^v^Ms zT9YpWBv=s!NGI6Ac=?!~9sOBj+qjpO9=sL0GKP76g*zVIt=$X+>nc`1x~Ew2kc+PGu-@DM>SI`)IQ1=@}J$vsTG%>@hj{0gF~>WZ(@Z zn~no5Zrhpme3+M!EsHYjR9Jt&%ld<8j7$*1I}zX!md<3Qq!s~DMj8rjP+GZ22B(vj zmiB)zp1|d|K{TktA7FM%^=q+XVq$os=UoJP&MvJ6pFxI-DXy94e!jOMG<@eH_HHU& z3O9({!Xja8X(Srl!#_8^?yY^Q$Oru*1X)SnK#62(c5d!yO!7&`!oos9C8j*&0GP_Q z131aZ4q%CfR#a3TFM(Kb2%KMMjF0arYP|6NP(9#J4X+u}c7=1WS&5<~*4?pEhogKY zKwP&K>c(y^(y zkAM9tRVRS^MiE)wg~eM~+fLzG?5h37S-#A0aLJJ5W}yHQha9yqC7b$$e0ZYLGa&KH zZbqCnA)jfi9EX~y!E7-r*ty+^bDt{{dfE6Sl_c|p&esqUrh@hYH}CSPpGiP@*;Hsk zvo#0g5TI3;Z$0l{H&#|wB8;tmZFusz5O#Y9p&q1xt1Lli_ohji@5521Gg{MiP3@fO9J z%&?OYAuuqqa=q#-Km%Pw2Hx*~xzEM1R}i#S*gep(m%)EZsP0E>7X-Q!oKDwC#h>?+ zHpK9?v@=e*n6wbOY9WZ+C>m78^xdRl%7T%Oesr{sDc5a0w-xgpaX|qEhI)*T*)d2 zN|i58Z?BtAt~>1ihD_nv{q@X^hx769r0LYg@N0K2iU*@JH`eKY?+d+a6rqqToLU*9 zErj~~mSkKicis8T-|dyvN(143+CABUas$uyf3r{x<|5fkLq<&X|Gnz==8%AW_vXf^ z%rab#T;;g8{@jx4cc}e=5(_k1D)z^vS4)k$c21(=WQPzEZP};>8akurKkV?KPR>`B z`3;9hVULBL4^|;0EXQl^2g$wu1V)5nCC*lFS2S@?0p1&7MEvK^fnYS@TV*8yz(k9i znbCvpmC!4pZ7jhSWD|$hVBTu=wsL1C`;-JU5B-8a&q1XOS5lJtnY~4ZnS|atlN2y5 zlQts_`gn^TJbjX>Rnv`oJ`1?ty?`c zk&)20;p&?H(~z#QNpEtA+0R2kN}$HyGPD(EIsDb_H*5*92*fJgb8e06#uAxc2`4DDEK z;DPb&4oa(862X(?x^;y`$c?d^n%ime%t52;ZLs>%z*%jP+ojiu^d{bU$$%U15(e{2 zUv0T?gA!SE%=_c%d1DmJV6~1;PRLyxh|C6nkf1jRfD=MO-J-8321-pcm+#714_ZDQ z8#HgMuxKG1haw{78?o_1c{JY3vQaWGoBtjw(U&Xf6*)TT_MI0o5dqo%7Cyf{h{)h3 zcMf?0w`XFJ{(W9Xx@VAn@q+tR0dtsoBcX4O#jEM$zsZFQ_zj+^fjSsQl+4w>Rqq!R z&}-$|47+MUGru4dMygR!ZXP0 zv?8+q)Z} zsNcJ^JJW?6fn(Ds3bIiqje_=`9&{wf^&xUZHt|@%_j-+jir=7fCtZ}8B0#jpxLKsJ zvEOlSRZ4D1^yzvc&+=&3`IRp#3rklT&u#H{fRyV62Gk!Zk~^WcjR%rQ@p4ZQ4(p36 z7EMvbIXTGLe)o+=64f?Flt3&IIK|MYl^2Us#l`tNb~vO5YrPfoJ*bn#4JC#2x*C<`oYHZZt(r@N^I&3l zKEu;MwWezZLDL4kCs9EH2Ekd{63}*;(M%Y}m86#_s^=1zLnH2{<2n(?MI;2K z0=@$0DLR^~!<{$6s!X_tyyjQk)RX^r8Jmm6@p7)b*6Am}UnF z)O4rc1mYDG+k*LOrj|!t7J!!dpZ6d~`}tzV>u2efyu$nKmkn2A<0%r@ii*Ju-I|FC zS_VPmcit6^Dn3W{n>;awGs7$>G@_gmVu{E~`|Fq$-^>ag|M8!OiGiO03ENqLqM@$2 z1h*(+iLNt2z6X*#WMbvsSJ`R1|J_DyMO~i_ZY6~q8lA%&CZRyp^^gj^S0%04E(y!j zOX^vox<8u$ftTLu`krUKm6h`yYo0kde59N|F0$7=r*Mkp+KsNF7KZ!J_EM{r;e}G@ z#kV)wv2smaKu~O2!jLmk%K7}K>NU8IEV_QkoSmIr0?EX)?OkwK7{ZCa0C5x4a?Aq? zSHRj}G6EbfC6Dd*w&!dIzH)4NlZb0n%|%qkJdvIU@*b|fF?O<8ZdNulr-XaMbo4`@ zqt+C;X~#7>t;i6QrO!VFFwFg?9X7dq^^(3k4r90(%pJ_vrSLh>R2%?`m-ySak4oKg zPWi_bV$;t!AUsgg*>~7EDq3x8%r1RDI;xRVP~s3HQ|4QbatdYsqmyl+YVu6I6l%z} zje1HL9GCx0IrGixS>Dr&o;=?+W|jD1j=Itu)LyR^Uc{B#0x_|+Ht zG9(RUV_O@Kjb^xI`#hDzT6ONDK8E4aatJ;5fN` zg2|^57R+4|f`IuL1LPg&bto2s;3j2J}tw)gH&5OBpFG1&2YppluXm?wqu>adB%m!A@X&~x!S*|$dsf3~ zAz(Qexn8~H^!PREBp&=GdMwSt1TG1hqUF^#)M;_8(>U-(g*W)&}IVqtM^M6_y z_{*!uz7Kd9nOmVZ?KzV4C*RUbGXqQvsb*0X;qv+{1E6@4OP=9PqVcaQi?nTqqP5Sl zsBadEBgw7FL$9AX0xd(@&KEw&lBCJEVxILui#b&@Fo&~4LJS>6{HZwygJ>|k{tgO< z%hXa(vr&yKo#E}Pn#Ezgu!20)ZZ_2XY-DVl@!V@zRI6c5`4WyJAE5hmeVR;O?~ZLY$`I$dVz&fI6GcyNVVqEI?IfmGXSFA+AMBZ2lR?U;J-tpdiq zi(RE|G`Pp{XlQ77hrfWQ?>Qs?ln{Y-Q+=t}2Gi2fSplty>JN{>)BxrAiCBL$IR&zx zgT7!BU%w^c{|IX{9!(HSo>w9?w!>*WW2tvlV&>gg(NqHC+l^|F(JBraQ|#fiuz0T5 zuMvBOQRjU1V%|h)nrDUvOUprdV@KerBQr9&3KO#x2zgOxx&6&rhhMp^Zv5taa7q2#4mXDPuqy9$j7y4q3GX`se1 zGAP`0r(qAgN<1)gqK_ZEzIQ9TXAt0pu)UtxHYP`Rds+N(yJoJ3Q9!jeE%G^9@Rj(M z>>F$ACCXjA3Z!RndpmXd9ZlcDJ#3pQRYPn2t5L1(0IUUQPN7P9yuuv*T5@+S=zZ0| zjCiB}@|_NfXBn5ttk;{ITr)gZ431L&Fz4URT*+lEX--O2)C@(o#C&oJ%>bN*kN-N` zP8Pwsj-;mMSEZBh9P`I)7iuqw5wi!LOH&$!%4R^&)gHAl&_~`*Q>1+d1Fi12SR~h{ zxG%w!+x&Q~7iv_thh@$Sf`3FWl<625gKP)iy#`Fy{%ry9)Q>?C3l@byEqQzmhHP;X zjOT1u93%|j3VUkC+A7-T*kLArSvWTFWYZZA?TJexf&YyR7q={Eeg6f{<%1lPYM zA_V<9i>~nQc@)Agi@B%E(=o~H-y-?A9#0PU7#gf^qpB?MA`K{&H>7X$6T6yb< zN_pen%E8P!0S(u1cr1>5j%~K`bKdt)*@HeCJL3ul{Rt(=G-<w+`~ z$EOJ+18LMT_^R6(k@0{*px`Xh|LEY|Zxi=6$ds|DMdUY`5*|Ymu;{6^NtlJ&{pKj- zuX+?DL{Z7w(Vo7-Otl&wW6TyA> zwO>UP(|~cF^4e0q{>Ck&6Z$9Y2x;ZwcsyUh z(+B9~buT&6!Nl6t6v)a6D{&>e%Dkx~_CloNXrB;F~+;S&aU_AUlhlYeclp@ zEP64_PAgCOh$ zFaCzL22mR`{wG7kViNjE%VD6z%)yjeTr9xU*hw_tI8n^K-K0Nh1Vci4UnGc=*{c~d zIL87Mn=`mb1S%)4@Nf_#YgBJl7m`01F9qLA#rO0Q+?)XU9BajL2DV7rB;f=z7~4P< ztMf>Tgb{8R-P1G_&k<(s=i%@X;e|3y+9h=e~N9` zt6S6hYBgP~?L8dfHC2H`m9!Q8a?n&Q{RwWKT&T`PM*?EUoub;&QbGa+z;Md4Fhh=5 zpRCm4;No_#{`%tSWBaExz__CR{X^!9NK=j*bf@=<_{8?kQRmNM=?OU@nL{R7t{X=T zh9xrdIg(*xfB*K^e*gZRfQ$^jVgZKaL_xN9vN5_bXIby};9FB;c!#R+!ABI^M$toc zAiq5P5rplOiSp1KMOK{6X>Iyyiu`4HGwW&1f6_d9<-FZ?Ut=M2LXW5O zb&|^V8Vt*F26#kNKr^dX?hdwa{dn{wHC{({h z_N_9yKE-r{Z#Er!L(_!YN9(nvH4GKnC*^ahbHT;S`ZYFbj*SB~*IyNP13?pnCycH| zd`J#|+miW50pF%$(e2l<3Fj1Fl75!iCUn7Sjz9-RR^i(s;Zm+}DzOCk$b$tcuHc+j zy^4xTAGm88>NJ`6YNRYwR3Q}`h{v!#9HjoCspNZUX{knSP5C5WiRW6HGy`aVN(754 zp^1OY6N3>KAgR7}<6>K%a&0W@Fx}MjwEI)4CnEYhw^V&YJu}LU=cm&r*L+_YdFxmW& zV0%dW8jYcPhbFNvuETUJr*WKE5I^Fb>SZssh?XsWX7tcgg5Ybzis>6 z@Ae3@Ld2pM_wwpW&+Q}jiXLq*DiRn-1sg6W*I*|M#f@+9@qwrwTFZQUEm1B?j$^e0 zU4*V|HwQ=z*3RsdST>z!z(y}1m_^!x{Qx@AR%=UNrfBO24&&z7rGB8wxLvjA%^8O7 z%4_uNF(lDX`@OGU`7%#H%}+&G8Ep&nB56yFB0TVN{?E5~9W{-!1*iioX_y;oSPnhGae8 zl2L46ugEmgj2oYoN7TtEj7*!myMcl*nP&otu&E9tx=Ep?7m|d?m!82A&pC~R*h_~4 z0(ky%?QUlVO%xi;3F2&D+!}pcY)j@wA{3cJ z6m4*;D_NtG>Ub$-cZa5W(9Ky!@sOa>GC90_$+qwf>UE#Fxc~*`VoeILNs>4)Ygp!& zDfAkG%kOke$hMLAt*VK%tc>~c%8R~z0aNmeImgQ?>k>b2L20;BT!l&Osq)2kWYF*V#WxZ?^Ymx_5O8ov%2(baYFH2g`j zY8D|YQp70Iw7L=3#=_AIH1j`Kuxz}lJuH2{*jj$*9;Rq-Bwm+a+mpLD{eY+NR75N` zzYi&TNg_fQrATx7yKPevGb@|;b3l-3f8 zP6*C)TJ(WPqBM`HmbHrs8K?Orl;6HbR4W}@AXT7$xG6fc$*ZQeXt7AMy>ArLjKB=? z+Ep&j?+--Bk z`EI=zaxuyw$DtCzQ0afdb=6xpZ^K#SFAi2}8GB>MyyWvx+b*FESC`+;c3i|OW1~pq!=IS&^=u^HCNMs9+16>i@d0^DpvX(tDs~eV={$9`QKL;D*b&~X6 zPn4ksYhouOe?wna#z=pA_sst0ys`{JJ+QhlD<3cnlbCvCUb6$j-z$%|jCv$tx> zlqp3a=T+%4Vg&-a2f zp6{QbpnfVBuyRupxy2loQ0afCj)s28Aizn%RT$GTkne&|xZ5ybRh~s}DngQ!Ecl08p{P__D!8Eq9_XZgKrt!Ont%-!UqwvELV^zCSyz z5Q06+`VHq%6PmuZteb4fQTSB9rTQiFoSKmXZXHk3RL6v7A4+S-ACb}NCjC4``R(7L z>P5u&zR2NmO6}cFUn-&ZglHIOMsD7<`Z3+VIYqK4yEqQjz37FxQMx{dS#Ft3yFw}|c9H!4O#@?~cUD%; zc6@w%0PtPV*O$wYbqAD{<&_lz8k&*Xo$YN<<{z=uizKN1vVHORF^ZFDL=X!7>t?Ry zcUI4EF(wK}YihXX&%evY)$yMxo5AKEfp7};);@hwY@1wPUH#V7l!nOZ!sKnQ(K-8B z2-(z`v-dw5=Ivu~-=Hd{*P#m}Zh=(!|6Ed7TRUkAkvSiJY)lUvVug2~<4~5)RCaCq z!0l()R*RgxA{R~NrYnfTk$UqZZqjtOF&fh=62aJLc}t(CnK07jWt5wCtX1j!>8juS zo9(YNhkGi1#$3^uNXf5H4!6@y7~H$hF3$_a_U>=FDPCbm4OV*I&~FOn zneqL?Ns6!om3GU6Sn~s=l^&_vnH#^y5^L+jmBFn0gM4Yj35KS&*6I6<3cpK~FB`Ev z-q|ppVW6krKCz!^MCY4xW88->T76AQ)`t=grnYJ8R|w9-Z-w`o1FfbzxLMO+SaAyv zXy*she&A0bO-}tWo2W>4?E5Tq1Q)u0Qae>kO7p8S5+|~9JHI|S3nR`i3|_o4-gPJ4 zhP9fwzkvD2R9}OigXtgr8eha7%9k(-ID1Pj$V}(c2iJ$wJ!e$XdGVY*N0YSjz&FqZ z-4kS^hJjT{W!lGSGd2A$IWoN)6(jqNZ}BBrH`bXYb>p{2G7GfvUPndK8tNwX0B9w2 zrZ6v0mzxa~)9lfhkggF%ndrsgVPRJ9))d-O+>02p^}Gc8kelNJW&xAWR%>$q?cv;i z8z~i}L3+u!YoKKZ|IIzg$8!d48%Wcq;`glTyTN;k+a*qJg-g}{iJXIQ;*8tFk{_wh zaPWS)d7+_iPnvWj-+IMyTA-xYdoe-h=l0!!Cmhwt2plO+H283Ov?YABdp322lb`vk zhfix!BZ-ITC6(yy$1>0sz@P*PD6t|&wKND zuV;3raHYRe(p|))^^NhYMdoK({Bxb)={R#wjm2^Hx-e<3FsOV`qiiaV_z)L-uAT>g%t zs;fO(t72H(9xq3`y1sr~Tq-RsO;1PnZRQB93^aq({;KPPi`t^`=; z#&Z@wKQ#Dg3ec4TZ*NPpOoS|eu5T9Ug7FrEs|G#`Vtpbb8WydG0YG@aVK>hg~#q4L%xJV!IK@?1`QaJ!v^W{M69@ z;J05{XSWk0hq z9v01t!r2d+&WvY$W?FRanv@GAT@<*mBae?J*u@SzZ76x~BR_nxTD;z|hplt&!`5ho z@8b4Rf7sMgka3MynoW4!9-h>XZB?)~XCw!~=Y7%HMeY_#_6Mt2X)bR>{O=MkA&Ix@MYinA6Yz~UZZOEYG|J_ zimfB%aovAqCfi?f;nTk*bJYbMx;0L*nzWZrJZ{*CB`=7hGv0 z0Xg4woj$br-~IfK;`OK3xs5;YmC&yYXXZv}BkA;MCQ{KKQxBjYBUyYKf5G{vFOGI& z&Ik~F`N4KaYb;O55f!3xb$AD6q&Gs!z{(9Y07jI0yJoY3=|;QE&>8XQq|4Zet;S0P zY4M{nkM=fhW)h>a(w=XoH}=XSqFz-0_I7cw5aK9C3HZUPz`4n$4&N(iD>)JjnTJcC z8;tn>O-@Om>lVU5pXzNkcEfn}dSKKPY%u)a{UQQ!1*W#D*mP3Mv!hd zWnmouvF8effh>2t>wBNp`Bxg6@H&kKRaQbbA?>~^bg1{t-X(l_-NGfbbnb{4!(J@5K6pPu`Zlq3bgDpWHo<=2>Mcx5`^+4}+r%$^LcQpaa>zQylT2Pf$F>a5NX%GLJJRs9LWV2oPJWO~%&0ve|rk}3olOb8c%f)?QN>;aO5o0L3 z7Ju~N;=}FFb0MT&)5WehG5_JVeJRIpJ}55x#{2JW)g%x8*ld4c*>lEo9jz0&Jk1=1 zj_&l-8+Yeg!hN$fp(LH5y3%rBQm9=MxT22M=>NIV5CBrc(+f zheNht3xEX4KP-cGyv(j>(<1;TYEoCczDo`yA*Q!LCAPnO@idULB<0UNMM3^i@;ar6 zS51$FI%M<+L`JYB0ziWm~C7H%GK${m3AYdAKS&tG-h zGq6hLA7y2ED9u3N@OH9X6{6CBPz!Q?fpU7una586RloetRmjbu$@f7mvNEcO|LCgY z@Kns>Jht-qrs=}s;VJ=_hCUIay1Is3ln)!xEY*q-P88%;QPKmUv4(5NXw2jn+Ws$% zf(7b-lNVBp{|%=IQn*;hh9!?fGnLE!ES4NR{DhVsM^a?)+g;zBPCOjU+lC$u&3X3` zvZjfJ*gE`kf@n>-x%;&~c-^uMW$=dDZjdGEw{RcS%2{G_m_OPU0(CSADoZ?^7V6z3 zUOsVrJ)79s68mJ~f=`i(FV&VTnRscH{Dz%H(052m*b#1m&^vpw?wXrsdGD4zVJE+t z%c&vw!D7Di&ck3o3%Hu-WZ%&4H%$?Xmz0(CL{*5`)^DurZ(#>1;%S#|Tnn!n^Tw5^ z7abjIR5(iKNih)2KU}xigEa|ZVw%g-J{5dob7qF~vpy3SPi*=Wozt7E^jbNg6sxZH z=POI&obfsz*5pP?Mlp|V*bNtJeR6N?nZ3WoH#Lb9P;}PL6f-AyETKe3MK!h}qCu#> zb~zYHYas)&5E&U6F8S+V+Y(J?`=X_cWiQCk{>yOObBu`<#`t+s@*%%!g;8b+%ls`o zb}&Z{ntM8P*`3f%prs!&YoUk(BN))pYN*qF3d-EP!miK8>j&g0U^rC7;-2Ea@(;%2 z78z7GB_6nYt;L~T=iw3-9(TE8-qhAlr%~gm3!`Q?N;2(+5A%j#-BQEl>>Q(u1BUGx zEr(Jxbgz(^C6F94Va?Tejt5r?Q+(bt{*0@kRi({v)Szrv-}xlcbFcFIXK(Io%>C8? z?~fc1$KBNsnmvai%!73uA|W^4u6s-~NWUTM_qR12vQu^buBy1a7cgS`_^nfzs7HWF zpMlQoh;5;X@Im~_P|r~51NWv&f|OuZu|`?bc$1dBD&vi{5emV1u(nZh2^rIYzmV3 zWW`^fA`BnLwP!tWa6oY1YZVEeH8(bhKdoY`{yUYT9)aeZS~^iTTy}ob$M!{@o~y*T zw~AGNdio=z(zcw94d1}i9;sbOm@r1V;E6M)`|hHT4_KimjgbT;6BzPVP*PfxfcjT9 znE~TpXL$P6{rr9<(H3pdp$|B)mplaF`9B?(xqMHi^ck3IZ?VTIu zy(Z67Pu)Y+qi6MhuuAq#co>v-bv@O($mhs%2|hxi12&%f`}^-dd_XqEUA>Ym{+$(h zrWGvS&2QhR|NkSiENH|mG#6Z`HyV!knAVUER=v07XZ>k?ruG%8uSg$5xMtU3ksQ@=C+o6oR2(J>2On zc8i5{>9(Of+X_vPzPYcm6G9SaAYJLz<2ve45qsoQoRK8Q5MWpoEM?Xt^UUQ81#**I zeYrdX^8O$ONsvQPAuXOK;vDtV_YQapBuD*pIp7@160Ms#GBjF)xw|R(#I1Ar4sk@w zzYVU4BWx9wFIUfQ>FJXJI=rRUV}aPAsdOFsIJ5tUvA2$@s{PtVH=uL~NT(=BmxOdF zph!x0h{UFmF6j<~mQuPl-QChs8)?{dcgMMTe(xFY^M2=ihG)=fz*El?S~Cd?!zy)J`&cYu z(#x6|RpO~8v+f$-IZ@w;o16Q`4q&}iS{_U8Jz?>xd7XSXNRo~OHOkk4O#5;R;aCA$J^ zD>b%?AY+JX&(`Rh(Ch|b^8sWoef%$aLH2cyf=^KhZR>x%za!yj`m6)fnM52w7PjWS zyW2UM+qUYrF6qygwQk+}1skcozhxhPSckeFpHA;jnM6D6jPx?U8Zt1fKA65aZ-(0= z3KKzhOhgt4Om}KdYiB5Tx!O5_FU^N)6HrYOz})$afuU`DoXA?EEfpA+e14lH>8vbL zjpIKk!QpYW^sTyNGxpAI=O*U}|1sr+Mg4!_G(Lp?C!7X|VZ|4B{j!M>Xt3T9|AaA1a*6+0j0UIO4F-X}(Uww?G z#;2S5ez2zr1!FDm2qp#9bxFH==+_TR+9=~In339Urg1s5UT+KM-1dlcU`0%_#;h6N z(R+_u;&@-1vcQ|%E`)avzK1fAQWAyrUC={5M{B^!8DmI97_kBE6+p6({aqO`quXr^ z;`xN#tzR7nUh{&hnMoT7I5EH7y-}LzKd_6Mk0dmS3D4-#;-6h~qN7oADDw9RKKM2B zy-mHxM6i(GOdcOYZh3WOf2wINMQTpy)C!T0Kx#>;o--Nc>W)qfsY!7CutHkkVl!L$ z5VoZuL07dyURFOsgi7K~J0xW@eWiSv`04Q~k;4v!`W$Gkx9+R~8Orl~2MrwqPeNSj zv%F(@aB!L@sYlh$YiDUbh~Z9kv*BsmUs5sC21CcMaAzd6jQ#ROJ!-7di7LP9q+^Q3B{-(oEhtdp6Mf+*9r3R>CfYAR8a1YJBwnY5BtIE7_-4Ou4jfT@DQmS&m z8!+%-%Bk>UZZVe#u99XIc1_j@Znn{%<=3v)x6ey_;J2VNfut8#;U;^}1_;H?gf`C| z_~aH9SMJM3sp%?3sBtvXAM>~hHmN_XtgvGH*IEiCa<|u#ap!~0t}~U-CkJjiDM^T~ zR+aPKoXy#V+ZNw07n=r@EKf*G_i5ae*!9tLc4KZ4ba~2U)}87s!H9ImEj+K$zR&yn zcV~k@*^Ld~*GJDCcc?r@N(?vV?N@&|-ZWlX3HpdGW<=H2>d`p`P8rtiZZPj%!CO)3 zG)S0UeTsBJl)QV6a-uYXF*){Yk%+bEiXjxAYZj>*Sa{AC1c{ z>-&tz)m4Tcq8`1gT&508*v8%^D(sazbvqd%!LB=6SZ05Phwy*NynIcH$BFvDz-=#9 zK@MKUQ$6{z%=!bt`_{*?6Spirm_>?chva1!wk7)br#Sx{{LAcY>OBpu_u(kd6*1jy zexztJ2huT;LX_ARgR20)x44!g@E`!xxvg`-6hRk!)N(vdBV7IBxJeR{p3#C<%XeaD zz)_Yq{;2OOfENVXT_KMsDEdIDj<_QU&)j#ep6AH;ZvfH$Iwvz4`$*kt9J8OjNGB5bp9Le zfc1sC-RxJ<35o~5m{;c(g_!eCy=WsKj##~dnZQNgbLC5X@#k_@UF$V}KJ;UO`gsRl zY2V54pQjf@0vsPRbp*bKg3n<2b99+$JU#bxbVz@Jx^Knd8ID|;Tk0T#g(ltZ-L#i( zePJfHZNq+cx+AyGERTCE&QpOL(Uc@}CbmWD7j*c-$lJ;61;@oOlG8bX@0w}iK z2^hbG0{0;4d8K5@{8n8u1)`Epro0eDaKrt>u35ih792ZY^|-Ih_3}?nsnHN>a|BQXKmb;iG4(w2T4Gka%|20u7l9c<0Fjpz&8RSFoljf zI@oc+U61w~-h5lwu<`0_0uRR0Z+;D}%DsqElM=(j4+W=0ezFr>F=q4d(%c&4`qM<4 zm(5!fuT!c*vGKZ&nSPaA^*X2d98ugJMSDEiU{K}rG^d>KykWMf+hVGyOjQ3Z5T6?9 zxbfHZpmGRk`8gSQG2Sy|8?KIV0W6Ai*`XVjo}~`mul8y1{nb6>=rziaV{G@`O9RU? z=i%K{jH)2mMRiAQx3dfh+l)66X7_g-|HTUQ#*BIM8g%^xd3GlSJmfe451)VOHKDq0 zF|&>lf?n^8pFc4{{9Wz4-pLkgpXB&NQ12$@k7ieDDEzL2jSP!aL&jrcL*ohY(H+j# ziMuL1Ar700k_g8mWS3JxUm|tDgc}=0_QF>w63c3F)Y+V=N1$D98671ABKh2W?j|m{daTrD*2Ch4ziuo6c$LQt zfjIWNF_9Vv(Y9nv=WTcz;~f!9)nSfVXDT9*}nbY?wK}&4nUq67R=MKi{u4 zo2K@>95mC_VfeQAzef;wOawOng&?pT=SkTcVW>A&U=B5$Mhw44f-veff@Y+z4EWPm zT$Q!|3q60dmId7+?J2**sb|8#2nh`lS1@`~ZM8!cPU2F#!!cdu7_Bi`qr3CBpY_K; zh0Vr$lEgyAhld^9sH>*BuZ*wsx9=?6cQVL2G z*y6cYBRG=89-86a1b9$;BLzpL?i@Q+YWt%EDp7(vzV-65kpJWjT8$R>o}}~f$HQfaoy$QUb6Au9|AQoM_iE6vPyl-KJSIc8mhEAKe$50 zj5^R&$H%oRw|B%BRuSREUr3ASM$zJOb932Q=mEd87Hr%A{h$`yTk@7FHGg}4_Sf4h z8#Ar+ZO`$;7Zz9jF5lh`6|{&WxN{zNIo<+L=ksR>drUVu#EW8K(b9ufF-rxplB2&U z8WH}AuHo*)1I)Z%J55{}h4(k2(+vMCcQSJD4jybpH-ja|+!M`M;ZRlN6m>MnIRG&d z9A_ybQg|l1l&#mEoGn#ClUNvIWd6H4_CQ8zB~xdfbZd#4@!i&6VnJH!c7*D2mYF~e z_9A z=@r;Oc?aY^8oi!kYqssIPViYU%mLe!|KkkVJ?o^_l2~dhDOIl~VAYBIEpg2j2*tnXFzX`u%`;+_~ea`|LkF78C(p#*1jOJ!E|M4Q&?^?~t;p zthQdjVEykGjTe5wn#Nrz{H+lcTk?zhsYk#WyAmgIU-{6V^f|k3$I6m1q~)i@=mK*! z8)X8i2&qXBZl&eC^6xje0(em)_A4S?QE~@6b1sw@f!WY-ms#hNt-r;^4uv)LeCnXs zK@8XCOnPc{0}@)}U`c$YOS110UlOD>L0dK)6DJ$@UY=6F4E2{8w385XM8i$%%4MoH zK}=P1Sv%xQ4cflad^G2CbZ2zn$AnAPoZ@ThYHcs3t@1~u^dOYd&uKVXd*ZRlFJH0w?FeIhwws zZfSy8wn9N=-x1WtVzp9FPj832_@bH?1s~G2Sqc%~rSq5mg#^h}Wez{h%g=4AeZR&k zD(%7h-fTa<8=Mi3KboEB)wS2PEK_-9C6YS)#zc$NsDFPp%L9hPrj0i8@uMgY?(T zZp~KHT_Q~ubHd5d0w&v<4HwIVxNf3@UFoJ5*8X0S?2!Ex7azOmo0|rF8j8@RuLXB( zZoB;ly0p=zTAr6H?hOZr^B$hMK=w9=4iEA|?&>Ux z2|jNQF}zC*ylXg)8y+nQRfh$0)tFv4jX^#3F2Bn@^Gi+^db~@Gj)T!YoVl3r(uUyU zyTpg3lZS7C5yu5>>TS1U!@aybEFaTqx|VFu>k!w{vH%HkztlbFBCN+jAblPg4Tl#) zbGMvnj?!7ktscsi|as=Dvo;8{}{r; zJE-!}H^!ncmXTV@1j-Lao_95WgH1R2lk|Y1zva9Qft)kOCJ5LR4(DVm8u4C-$)cus zA-kR6$ZIy+^TUhti={p+If;-X!2Y47Z|M4=L#=gzerPA%{Z=Yr?3wTt?5fnX+vxh_ z03M^E)H`r;apxVzA=+>nxj!Uw0!j7RM5_NmXM;g)U`W*c~9w>nam+4VQeCv=Vds(&x4R~Oq(GBmF|RfOTU zC*3D6Ypx7oR0d}1yy_hxwD{A`^3#8h|B9zJNzp1kt7NO4k2Niq_w_e$`E+OWVb&Sp zP|40sMl7Gkuzs<@LOvks@9yCNcG)VVu;_q;sf(**(Rc0X505Q-7-Qhi-@L-soPflc zmYNMw{}3CxOP4TeXv!F!!7=8S~n*Zp$OVseXbUmq4Fi8_h3(PyB5trOlIe*pPa)Bj4Jn&oB@H1Yj z=dv>pR*Zzr2w$nr5cnkkqj{ZE`RQ=E6oRWio5!39dM`##M&VqHoalSa2VAc{F1D-D zT;ridZ#S=ck1`A`Qx~Y_+f-L~42oo*Jqm0iWNMe063*5)gB(*aFaIU&NftIC@R{?O z5-Z$}n2Ilsm6eCzrFkt0*j(t#ynw|#-!dCN_$=D+p-7<<_V{UO>318AxPcUZwRul0 z$YhH1c2eI&_S*7-@vbSP<)2}F*Jhjx?}u>c^Lbs<@unADQLTQzzwLNaQ)a!+@=N0N zvO72e3NL*cKpXBd4SMn7MJ-=}MSv>z|7MytOkZnr6%e>KC&M_(_pA*-qb{6sFDpLBmq!G!V2Gg=7YdzAoDHm|5AHMAplG1Q_R zeuFf*p|0OA;%iRdE6zmvh&tzVUUBH2x>(KG=#s4g_S6sX{gP!(z(m4JS)!&9@umi( zVt3&oBdSvi3+t@|(m}uRf+zSE8N8&h*4#=|3Ylk;!|TVKA@AS=*zUxrB3NH0PoWlr zAGdSu&-)thg7L(B@ID`0uK&8bq^P>9LKB@6)!QvMzcp^C+oWGFW-Yq;3r{n={GLcm zQ~v8$Hy%PIJ8!-FS_=z2K;A`KuyNl%2i<=*tqVv69r|S-prWP!?AOFUh10+hzRhBg zKoz4S&lEjL2W0AN@K)R(h=xFjOo?21f3HbWdhf?;s2dBhZX-AfkUe&aQAT?_C49>^uP?b=;G`vxgKA7KBHrry5sqk zAx{0T{t6{*rY{+;&O0V_?Ao_B*ji5GiQZCS1qOR;RlQo9YR^HdWDOIt5LMm*J0m1r z0Vi!I{{a*4gPpw@6Hu>o;)b^V+@8%e1z>?1+ig(T-fb(^SxHEU+79OaDn5ikZu9jn z-i!|%MXW5mr9#OL#aHfp0IRl>gMFv5pXn|V$XTqw6j;^?c;T{)rRk1rEMWWf=6+U`=Z3S z=EJro$s@s?@trXo3_VD=VmDa4Si(woO^hitCv!arEZ~( zxO&eP9;tdXkQhgha`|oPR9TS$ugv$r6ZZ*?=ROh;as`3xDPL2q68GtDs~7dqqS3Q! zHLD9R78`v#th4#v3x3DDSsq*Zv-z-Eej`B2OCJ}ssSQk(rA!LBqNz=T#>akNj9i<4 z^nqQabVGOaYvq5BS^?OsHcv7doT2hXu}`%=Dw#8?5E3Gh#uv?2*m8K!8rAVx%1M0n zEvziVz2qAWGfJuwq>x4dgjR3O`aq~+3J<}ek*^5337CcU&t5zf^*MLLN=lN?K+jY4 z+geQwYoP>B_xxQ$ZMP#Y9^PSb0U89M<{^r8APctMO^`q~vh#)&aQg53T5ynAz zf^$m`;ZH4O%k)w;9Hl5aimo4-eyf{XwYRO`;|mA~wA*o-hqd#kd76xC3KrqUk8o&J z!XDLW*PSLS7J2N(S*r7X=G9Ri?QYy_lF^k)*T;3Gf>Wy4AImY03yeuDi}%*7R&xzx%;hok zpreUWc*5XMjEVxCHT2T7@}!f_j4HRBH)8q~m?{eS+~`0vl)z;IAr;H~!(Hjsr(@d~ zXqLu1XZ_X5)WY{+-^ahg#WSx_BfB)YHM7bJRdm!|6Ah*anjLUqqpmUS-Tv3;=ZXuz z*=Jd0PYTBvWjNjx#{OvW_Dk+wu<^fDx^dq;+$5G(QS}PASVy#VOb{WnI(%k)3i=J` z5Y1*s5(Pc(AdH{w?X@M;r9ZN3F$5z~r%*9EY`UPFg4S5afgA%pcTTt~POdf^E3W?xt}#D}iU+@~?lAUIpC3b&58g^;!|`%q zGL?%UP4W}6twl5NYEIg^It#z+h?+lZn;mEzJzX@yKVLJs0}NX+GzhSG>4>amZ!_ET z3bp@L->i_WUT`q9mf8{&+3eueB5R_joe0pGb)eajvM^Sq zp~zTl>?bMH4uyv3>A6`qN@JCdmF0_w086#VC;n)Nk(IvtD!{(Tp>x#-tk@9At0#re z>|{Xg?@U${U2J)=CakK>29Am=Dc-s+Tln}^`uJ4FGYy&-M!l@pYxi{PAbCl% zW%Zsv(}A(;6^uh`x*b^VUP}E7cG;+(@sk=(NJfDu@$AyKAe` z(^1k^M}{ymv2{`GH3hAux##um?A0TXK77<`o5BH`WSmGGO}8^{U7y)V*Y(t9IsohC zcxh`Vm71=7Y&dD90Kd9=37k7bz0R;6oSzkbU8}6%sgRgiMJ~Z^A(d*E=ToP#<~Q1O zym)9cR9DySWut&H1*-TC?+;V&IP&hu!JSViw~O9%`V4rAY@gY7XdVB}4D84!qQ^=$!ld$YF)gJP;xd(YsnW6sbB|(V!c%9)2HL%N>1FBb~MZpHiDEaC21$8}GCpg zyRtX_u{%n~5)|ex2LA4blFh&ZZ?C(-o5@Pk_~D%0{2**9KeXFhh^YPv7bLx*g7VH| z*T?msh{VGhSFq87%pfsfx9ndQSs&8v`LULPe66ZZyXNXbXxnvBLW1DhQN)~9IHiW8^y!fR`#`e35Z_RPGg9F`pEqJCzTR)8N2X78^ukM@v zg4eX^($L~*p)kHV2-B7u{yrFQt1QcG2;78x|ZN=^1 z&?}_Y22>Dk^bD}J1!3lW{$7<4lTp{0mL|{qv4}0$-Vd3jeO7=w4N5;FSPb-Oj!>MxL6-29 zXn+yLKQ%Ul~h_gm#Jj8|*Di1$tyX_L+ds?j=_^14u zkKqsDL*08r*jS3Du7OpF)_HsqxZnpU?S$Fkr zk6H8I+W$f+P^n>>-Z6Q_B`u5Hx`H0WwoFYcjzBm$)uL_?g9jN_C4-bVC_+t)qPu|* zz~HXr3-s#B&15jb9^78QZ(rQB)J|E6pLhP59oNiS05*?uigynab0!d_&2xVHB~T4c zV^UPYZk+D30)w_tulXlW*n1_+s?RETNDVk#ELa|^yhn!>W@BiJ=n?L)gt5FcD&i~8 zl5!%aB8O7>%yyFr-;K#Bxii-~e{@C_)xK%vJxk<=BAwa_gpu4GVFo>qu34>`)1T9{ zM+{6JZYg*k4qDc;zn?BHE~7?mJV49OlxV%uc6uMG7fnQr9~Rwo^@ze5);-_?Le^!6 zd8R-3fijNl0KFF@2o@}^36q9NnvC|*B|;#dA#Ywu zsOsRragVVB3u*MRcIxFO>S_t?$T*=cWTB!sHv+PFSZ5t)E$ca83Zw85t?D@ zYV!u0pJ*-LZ?%M&0t=4A@__-bqxLm%Ttp<`jo+s`dS9%N6i0u70Kl*OU2WmS%%J-#QMfhb#T1XA zcb-RWh0k^UzY~`<2U(2JUlCwn3nJ!swy+AZma`ZbB%L+`UQeT5UHv-g;0o^+t-giZ zRDTKSB&M0icR#$|c|AH4F`mSvuwJ{+~QEJ$Lvc78`t zCMyR`n*~>^Vkf=lQNzi6_rZh@jf{jc8T-fOjG9d30XFO5trI2J8WSZ|bQKwFUs&|W zPp%u!#uh%zv%NNzBAm_{gwh%2hcOCRBq=tkswzKdiu#PYz4vYJI{baE%&MoeqEbQ% z9j@3pnBru&MYChxGQTUJt?D&Zsz@wuANxKowE;hZ>I3A2v1Vbi7YLqbY`XW4PP%KK zlBo|Y4(jZ-rc}@P-wRp|1fv1M%)`$w!5rH*J&kt2g%J`N{(gpZ-h7qv@q^9br zg45ON_Yk;t62N?xIznaNzD4en9Ud+$bNED;S=Xh`se)IcZPHSkmxsX|o3HqA64jm5 z7WjO=bX>)T87!ezdE&<@^v!0I2 z)2FlNa=k&k6bn0um0=UU>VrN@kNOKNFY}rALgmCud2|3qC+c!Rh?RdqTe8e#68qthsJ+j47{!^NIXDQnP=u!FddKZ*r_jSO)oA?%?D@sLs+y#Emy_*pwO?GpPA#9ec>$ts$!kCy2RPuj0}S#rzTBV5LcdnSX@bPe zvvK}PB<|Z;8j!pN{DO=hcTGRAwcS&IC3c_y3+j{QM|yQTP1BDEKDzJeo!tlmIGtZT zGHZ0xj_KyB+7)I-K^C<6Vyte>CXa#0M+-vZaut8V@Gm^$rC8cC@5;0wea))4$>OH= ztxR-a30uwg7(?W>v2UFF?O|K#m+R!U@PT|M{53UYICkWO>JA6@6b-vg_DT|zWwVuB z6B@+OC=26HZ<>0Xsp{@Q*KfuNSGUmFc98%6Qs3#D8*Q{ifZ{xMu1n4y>Y=10q&)1C zHE&c=3>pAVtgF4(*sn`nI3Tow!auOKK=YiG>}nmGzo)KtU!l-wJY%pBWI~;sC9G<{ zxBSVI)C@DdUc|^437Y_Fk2fsoTMf#JtpRRFo!wHn^Ts=kjryprUk#v zPye1q4+Ln^`-bmpRC4}g3>NxP+bi&9RW>Yqko^StDX6MmV9vO`QIZ*7X_5SA_~T_N zHmC{7I4q3<<)ZZ;iY7ZBI&j$LZbfjYLiP3@9NymSdVmH_2akH`(zeXxf0-%2{HF94 zwVG(dv*Y36(G-X&L3JRt9nV)o2Yx$EURUoZ!XsS>$9St+r$^=2^IZN9lb?~F37a)} zF0UXb0P~%&T?C$DB7iCe0#I()IcwD@nqB0&Cn6f{utsmal_fu4m}>SODbx|TgtwN+sj zsF<^FWvanuYTU7;nn6tjwu6u$I{er3P8QOzL`WM~FAn1)mdqXO4buPRTf?D?MVU?> z7M{*szq>(1fmUk<(G~ucZpnk%z+=s;#2eq<`BZj&<7>h2mTJR7rsgIti78LetJNht zcQQzeAt!Bh3HckYV?n|4{%cEp57|uqd~JUaT#!GamZXE5Ca#S;lNh^v2-6AfeAqfL zL<6$C7A`TN+>Z!f>aOQ~g)-*Q|S3FMj-%z||3mt7>Me5%%K5o>F zg@@UekRkQOd6yD4pV~KG{I`q(cK=_GGFYracpS}<)%xD`GDj(1vsMk|b!Jz(k)Ze#>^1qVIBJOJ zIBiqe4t%7q%rX`b)&ssK!vE?TLmUbER?taBP)*U!P$0+JIQiw=|H&r#QjjaFxK`=^ zToDQ48uV@%*$pzReungv4>kQQOJ1R^fr`4@ ziUM06Xu@l6`##c-r{Dx0oCBsTz!VV7aHP-2Z=1@r#v!p)mD46#maQj82UoXZoKB}> z3I^~0FDHkLZY2wyVJr0~Lk9TRM_JhadU~Fq$bn;|*WE&551Lx)ShA1s@ebn$QE3o} zQqVhO($STRuFY^mEve{e33nNjm52H|WZW2l>b?5VHt@$5N0F8I`|!8-Pf|}mf`o=F z#ZdQ4Pp5p;{<&eXLBT{uS&j7lHyMWt{1nVEdvM9gfxubQhgIM^%{p`bz+?BiWoGhe z%Rj@Gz47O651z`Bu^(4ZW&^r<1K~w%<|Y;vrFTDAEFZ)z>4>^S4d-Mis*J;>#+C3~ z$|0%1u}5Bh-u2rr&Qz|59Qc;94m7`k{;LOa1Q(Br_Bgt~7H7!I>LnIm;UIj8<<0IB zejc9m{Cx2Lb&@n{7`(sAgM+J;E4p9a606D6JE!PqzG4);+?BGLY^1(d=}SC;H(klG z;y-n=V!l1vY%X2vrxw2LM<_885mOJ;&fN9f$Wm_B9R5~|yoNLP^6RhXy!+SH#gCca z$B$uZtZ~+xGd0)NE~JTh`OaDa_mj0X@SLM3;to96bqk%L*cHugX4~Q^GPh=Y?B1J+ zrS0@od!V>LR?l;BRpi0v1NV)dbI2}~^>aV+T78@}1f`Fze)xEb6FY`rZKx6T$H*4{Hqq-!Fna^=BCDq=gEub<#oD*Mo^5!ky z?N|fBr9}yMOng!T`gk58u{Fi^Ui1WEH!Jnk%%uVB!YNeK>Y$V=>-o^U{wCHD5(KlH zyBVUSrWObkkrG2PE{qXpv~Ud_9jwN=V{+z3&p)0krP{xwob<4eJ%uUxhS2U#6@|~M zeVps{HYY=Sn5%71UYEWyKH~~B<|I|pAMdEtYw-IsWqH|>`0X2tkB<*D$Qd0I;Y0=G z+pt)H+Q0dK#^pQF&q6D&gb@UY{bQ&iVgsHk4OkZr+zv`w`k`^F#38Tf7#m~Jqp`bV zGNcwZC(2D%WTL1-u~tqSM_+*6Yn7{$fXn-D=|nbHaaMj_0zB$C(s8o%U-#+BU^IR> zK93O{X7x2j%el+p;nCV7E}I5mFi-V8O{fowrkL6fWs!RRE3506fAccz$nGqRz$h?xmOhrjMIF1ho9u>VG6d#;d zXQZk^n(4q)VaWzb|5-x5$;Y-_tdfzV&|kq@profiRH;YAjvoGk2=l-mPdr59@!KtM z<=Hk-Rr%xFhMt0$Cc+o2P;uo*w-d>10}c(W;{);3{!v0|qeXLe?m2;BU1cOa9g1hg zBJ~T3?go0k2fRnaM<{L}fJRn9f!N($<2C4<+@|AVV-KbzT77%Cbco6`f6it23LDdy z^2!edUv4Etx zE2CulMtf0F{=jY>2>opH`Wcu?aK8gZO*jr;vwyi`7<~r#ogmkpJCPDI5E;oE2?(en zTRx{#M~}yQ-45g!;$)lVP=l?8GgTTOj@_O-*VSQWo>yN*y=tosEb@vaouVx0DMAY(~}R-hw#>aO{cJIVkRLVAq4Y``pe-P0C{j2&7MA7H&5J0sq~(L(WFerV?9KHAjKd*KX51&rSx6bwDdFkKyEAYP0T7XAx+}S zP7Cy~M3&>@-$W-XW*P9LI4b8e`5@gt7cPG-o=P3GJHM~YAtVW7j9Gj2HlJKceY~fV z$c8(!G?g|U^thDagclE1u4G&a%hUi0}5(U zq^mMM$t+%VJZ9S-89gX{!z?nZD6u_doaq<6K|H}|D&hCQ)AEPxI>u!0^H2l%BIXxT z_u_w^xHyT~Nk~i0hoXX>;~`ElF&e>?BQ}(`;IXQoc`hWBT)i{-<+q(9SL{Apac;0S z!V~s2=(z}&FW`0jY_0@Q=kyNbOC)J6)>?h%6m_oM zSX7bPyv@m`AqQ?o%x!w%Pi%v`{f8gfQ~hXsF7($o{zJ?fF~iY!cnZ_AJLiN6zQB*F z%fpW);jpv*q8iq-MeI~tw6{QSNXi8-hBZJ^vTLVJ9(9{&p;*c(>|c8RvIUlff28~t zia7Ps@^h`Fm4oR>U%hH0hn%Aa`j(-(sOfr!j!3i!Jl66fwqp0vcCRcrIeIZ zh7uzu&y=dVY7Rebb&d9Vj!bbzRmQ_{CpKN7o^BkZIU7dh>i?6EVtOprn{Qf;+j{PbH;kjc2eK+937Ead{~ai!joGmmDd zCFkeYGXGlKO`ch)GRF7cczVGS=%h;*i~g&w_~FB>?C}uY6@qu9C`kg zyoTaNprLUdO+HY0a^D!2-#b}i#+kag1ao5hFaI%do&KbYswN8{`~CbYkWc2%%TiC} zW16@A2gA2vhx;%;z&mW2T(C*>SMUR}J27{jS0Be&6jKE0Wl!GzbKOurA0K}Lbm(G{ zPwPrGwY5)Xo|Eg_WFM~c4y+uvj)qp|QYgVyepfcmUgNKd$o`j0I4#dJ?BFVz^7ZD% zWIQ9l`E%X#p;?Msscvomb)?sK@7kd|=$JZx^B?Sg;{_?IKg^(ai&@z9bN({MyK$xH z!*a74zWY$d-zV^yZkK&yQn`52@z}I%W;bLL9QU!uR4XSJ(gr>QUJST6LBRz~5LH$E z=&!w~8EL(rU6yr4HOo)G<7e2#8hBw$#jHafyiP36v6$jvOlNlUtM|-6*DfDFrwa;b z5j)<5%g?T0W(FvN0INQ_U)u@8iY6^AMfDMv>Z2!$iW;`qI20_$74EOo@RpIpdp>w? z{O-lt07pjm^*>GAyYU*&ARHML%;rl)^*F}|%uEqy3%q9ozZW?QNGYJY1tRP-So+l2 z`LXn|C+3!FSU0L~NHigd53|LoQD}KZA&_(>#+U^2I*QE7N}|NX#6}@8;5PagbUeOq z98J2bd_s(3D0}flNXCzMw`5s0l)fP)+=Q85b57mu;ocY3kfU!Q^ypYP)$7goQbJaX zmvO8O_;+5nINS3M4@Mc}*CKP&3raWr?=WsEC|6r1el^7WSMuZOV;*~g8D#$&XE`UL zu;|e>g(oZ9Gf0hE%KqsXgl;fpjb-XZr3aY~*8ckbVGWJEv*YuQKG&jAQtFQx!86n`Sd(wbmP2Fyc=!}A{AqR?~V8mF&}CioG6ZR`G2l91Y|85%{jE? z<>kf5zB8@95%$9`j98wM&lgnXd5nH@{05B(C$M29z(4lO{t0@8xA;Hcz;n89zxShM zZacR|H!5CwGY|CQ|L0{wHtF|V(O0o-Bby{e+P|;f1p|cDbf?3gdUW&Y8;mV&Em9L$ z{<(FCwsVykM4ZGL%)M#FM^e?D!|<2rtDLt+VK-^^3JZISPqko)eRY_M zs)nDXrP_%IFK7EH;aKzb6bW-2kCNMIk45${udG$AGR!^*&As|;<@1LF02Ge|y%=D6 zo=Y!}wIhc|={|;yMzy8G9d}yn32E(}9@1LTvjfNcEm0t#1tfxnN}(oiBP42cto?H!u7_+n1 z@bSTJve%04+K<-54W0RslQ1s^KcmD*_eMcX!dXE@QI*u=dH+@Ts~m>BK%|mWT25meQa-0SxlTW9;S%# zPH3Le=skYrdcndUQfzHc5jZ7}`6FZ$ z6lG;)AmwCcmVEvCAu@^wOz;t~EXP7v@Q`OFvx%_AzU4CR2vL|GASd#L@h3CWrPe3~ zoHP1x5`TAQh;msn=IR#{QXnPA=8qq=#Q*`ror~?kt@?k@LE2gZFO(QY_Y-u1Ff-5v z0y9}DN5>cNsPORig;swdYkoRoI@}L;p{p$Pz6Hr|m8Nx3X`&4?6w#2tKZ7<`35s{v zH4I%RA5cg?yB~?{@7+<^9Y`vw5^vA{W?Pn<8vstk?3If#e2(g+`w}{H0W*kwc~Gm1 zD`wyW#CD;H@6AkFe{2F9&==To~r8Q+qyMXaT z-nVQcpemld)xVlRvjsruY|QzG;LXn(j$8<2Z~Z&MC`zG#nFihUPuh$kvG+4xCsuKH z*_N$ePFuOmP*GOpLmHTO8k9v?_+UWvjem0i#>%=7qkU zRqctxiEQ>sq$~bLe?-L2ey!oY9!x~8;LC$RA}a@aL=%J0mHj=0i8pG)yB&t7K3sZy z$%#f&`S|SA^@ov>iGBV)B+N4M|DowCpsH+}XhFI|xF$#5 z2I)h0OLxa1?#qAgbuHFXTpl^+ooAkz*?aaj(y7u9N%G=nWwpnM-K-l(ye?~wchGd^veuio+1<^XsuY%ysOMOPjkTV z`EM;#GYT^DKNu!J;~kYm!14j`F9Fo!1%QpZGUIK)^t^3No#Lml>zu2;fh7LA(E$US zOv25I3EV^|pyD;k`5DLuriP_e6?*_a)w5awp6UU10ft|S>K!i(E(Q|1eG|sKT6Jq> ztJDh$8}Krk-hzg+p9zbZGXYt~s*C9kg&e^sFYd{KEVPYa&J+J{>Iz>0ojcNXH*ex{ zn{vnf7c1YFLAVd@*m$=SjzTuC{{*Y>E5`o_l2ZhK;H>_WKN(*Vk5>kPboaN*Xj2%!J=oflun zwFR)5JKu=hPnW~d<3^Mg^p$c}-eiFyWXq$&8RRoL!Q^YD#m#Op{DZk>v&ByE|DHr&E>qpL%OI9;t z#MIh)SE`we=oaDy=m9n>55DB(hkVWbDF+&PTgnJE4t+ndq`m*!1BLd!{L3IWmP;(X z4)-HKYmI)CtZ zUzbd-vEPw{n|F?bnxAeCZdSk#7tJRRfCxO`(gGC-(2Vk$nts^;R^O?oA0wvNlx1}y@-*49s)CVV6+(|Oz1aWWom9_xI+B7&hKFX_JNURe7F;hakwc< zM|*Fr%I;z_z<58OmdE{CIw@X7mHu)=%3=4;!+`aU3LOIj!;McF2}!(CpR%P}9i23y z^5!h{cE>%r#RIL};n82;+$^pZOlsL1N#Q9j1W`9P11eC(qG0ywE@N(#r61)B8U2~O zf|>|Vl2}3Zi-U1&JFXb*E~0%GrKUh8L~wZL5ki@8bez8b=@40Db9@^zcz{(Ndu5eIRI7`W~uU}@~9 zJv+BE011kn)+cX%9=5U__-oCre>kx#UT$T90uYxul$9`kXCM&~b1v(EBWi_jRi%E2 z8>|$V_r1N6;MTS_iZ6xtV~^$KbeVi^do|La>xuZH`-%Kx z%QUL+-pV#kGS0%l3sX%kg;6_|P6GQ}yA?iNtB(+_lfrv<&q99~&EO@LS@;bnLEw@{ zK(N|E3!tWWJ{L9GJvnpA%2*>V2(-%7X5;MRr1855ZFuhqzFZDYJ?>>}UTr3H^?pVZ zj{AF=Eot&{Io90bnV#Me6&V@%d$iSq^l>7S@lf{7N0`ppMP9IxiS}Se!blV_H^Qh` z?CBe9l-T{P)z(X??73OZaX~kFT_Eo_qNnU;#)LQ%ik+9)J{6LpVj45Vne^Rps=@JZ zVWSb=(_jjZKW`OGfwCVKC*6w|1!@~%7eD-iN8e%B1lrCgh{!-zB)Hz8=}}NoxzhGd z9^RqbGY+zx+w_SmPXG&nwV54yYF0gpSCU zOhqK3>G>cKSJEhJ&Bg1FXosm$Lp>(4DYqUn5n5F>HSC#q)~z1Z@|c)JCv7}cTow=i zPVlC#{S_!r47B#+yp@v`K<#=xA!-APx(A_K_dOERxelrZ=j?{pJAg)y_;mi zcej)7;d8&c)Z=HfenlFFaz8`couv_;h7+D_?^`Xo3=SwUIF#W_a>_cxNs5<)_qP}n zVf&!Q#yF$*{2hu)@L2>-)dWB33)13@bv>)}7eJYAhJWb|OtRK)OEnZr6fv?}vJ(}N zGt`?k?067d1W}zjb7raUb3g@*fW-KDSfJtDiTfiQ0;2hG83xl5cUgS@0?Yj@C?C=4 zZod@s{<0ZhWNvQGBU!U(@>*;l??)>R{K`@W?eH6s>So-EmQ0hG-+V2tD3=3but3hH#_U)5GI_zRlh_;!p&O>kQ13vTNnEW#mrEkeDmcp znexkUo!RO1I8?V5?5(6FG&@%PcubsZIg__+7AnC#F0yfm-yu8bxrnA?7#{38>U0BqU_I*}*_er(k*u zu&uPb*Tsund@<|@4*o5e9uG9J2bV_0bfF*jG5hckp|3bP4|s+ zXRi$yZDB(kP%iL%xC=lE?zdm)o`UFjOs*|F4(gv^CQZr8h%?}RV>tBL9c-?1oxbLK z04xlKb!s{y25&BG?|D~88ym2Q_`G{SzeY?SkCQI8j?TTtc7a?PCZ#UObja@?jW&-7 z+@PEh(i9>!jf$e?E@C|*RtQWr@7TWy%pt8&<_8B`o`+#A9a=7|2tmZX9*j2gH!TtC zC@wm}Vmc)%DU?43t|f$2lXMZF-X)q3pL8;;gk0pOJhmjqbC;Cyt)3*v~+UQr*#w( zZl@h_5isDbhvSQ}sf;{i;|-`hp03mT?pUm~I5l@@U7fa%dOPyLiF=l^q)>mN)6Equ&)9Cw*R|C&7IUg-CNgtbugKR=HlYg(%NQX*ewEV zhFf2zJ=-pIkPyh9g|LP^qj8z`w5O!z_;vPvYrelGe5=Y&Um&l%R7#2%)ah zZR|2?fX(yX8``)mEKjjQos80(l7ntT#|EKOJtX!}zO<}u+a*F8xklfHEQR~MOWqGB z79}{w@9d;>_NWf5$#5M*FW-rkwUOsCA}zy=bvuE#p8%oQt}d)`!J2o7L-#^N;=zT# zOe+UJuYBaREZvbt_feO{T#^S(5MJW6wTGH$dKfhh#pZkJPVm?tn;qUF($_okS)tu> z516#BJ{u})E=G1*MKR$6XsFEh2+VGJMurI>b{i)oRG0zv4BJky!k0w? zH}wU2+GA#(a;lbYMmEmo7;gWWfhtiHx6 z1Hf`X$e)*R=V){D!<%uJT2~i`-oJNAIzGK6o3rRqHX*O7oJG?B+<`U#Z- zS^p(lY=CHkr5vwymDkn8ip*qdX*B znEkv9_OMC1i4v#yxVG%O8nwW8A60ymn7?^lS!%)TC}5a%I|40|W8t9@t2f6-)pNpD zJj`%=jZb$d`?oW2U~Qph$+MlNf~hYmGz)a>@R!79J1`82Bv^H(4e}&QDHY{!53DhFADq?nxEEz(_66WZg?q_c#=6D14sU7S zq^acJKeK#j^|vqj_b@Or4mxzdE|j8O1BpzFMPEq?gUf!6<}icJ43UVKaPps1Jw)n% zq26=9$QF(od9oVdw21+QOU^2VxY_SMxwDHxi3G>fxR6YF#n}YF?VwbVBvS~F7T5Dp z9E-Il>`tU^1Wlj>IlA$>yd~!f8l8%B4A%BiLZ98FPA)uoQ3-G;gY>~Kl#g4&7nIDx z4-1Q5?4DAi%=XM86=T^O28~&V;t4hncT41dPw((H6a%^x<5|3<3BtEuguD-g@s?_? z46kR5?UWT)YC{of&V)wH?$nC(G&GFg#cW#Zx4!4Cb$Rem)=>hIG6haq%?72V3xDFouAyTTKXf3i z>-E8OYOuvqQssGVo&VsP^iP zy@8Vs+c@o4>x7v>N8rm++DDU`_fT!CJh~4F1q49Oqth8un z*p%ZY8*Q)FgPXLghK3D%14T^0#>X!Ro)-npPRFMRB3jD}m^paVEf~iqyKwZf6_TVE z7r3CpSN`8SKaGh5o$yElt|0d}cxP!SN!b4ZKN?1(E-0Vsl7L?UlMvTJ^DFsGWIzA5a1q(alU1NV+e{BXQIxwdr@V3+nBl6juSp?`v z*~l625}5DXh%Pw??<3ug7HJbWeU}0 za#-**d43{et;bTLU6eHei1(+0Bng8m&po1($wgK2KsR$S;z?tz8ZHD!$cqz?WZzr* zErCRk1t`2u*V`9C&3<5az}LKgb+rYV>3@+22f^=gF7EB!mdBVh;<)MeAVO#NmgA&@ z1SfaVh?OxJV0I|W7#ma{$L*WtlV*wC-W0n7U5Je+e5)9z+gBp~aq0B~5~O`VLF_T+ zH>uAPf~y}e^y7(<^OeAyF*|x#T{tL0L-4C-X^Bv)7q6tBpOkom=iA_*#O298^Wn*+ z1%&#>D@51Zc6YEp@ca&!XvBvlx9e+!gHlpB!_i3MoeI7hzNAGtI=kABmYpQ0Q;p+X z_^B)}gaiD!$ERmXKCbdX7b|*#I07dGCuy1Q;@XmQGwd@zveUzp=diGFup3^WKkh_V z8z9my0??1I5&z}zn;bI9N%y4ObyHl&!~Aehyx3nARTF`%etDx$-op-l%axGb5^TC! zuF?qsV$L$Th(>P1_E1F~o9ynI`4FcL!u-X*RbShUlP&-Kn_JOkeQ_1ou;ANp6V5*u zLB~_D9&31|VKf0Y*Q+1QtW;?4@cPEw*u2q^E8mM79mZ8zUoN);u1#eo{&Z!u;e^?V zW!%w2+|a_*gP5AjE2L1CdO}Quac;R%Klj`i@DKB-^b{ms!fbj_qD+qwU2SdNq2pg2 zcl@x_7Rh$!&5*q9(ufi@foMPJfR$A6~79(^}+H2HnI;Qo~k3cs}|yh)s) zFWPFm);g>N$$Tn14scu|TzNNjY=1gP>h)wq8;XgJ?n|VUg8qo?O7_RPvOa<5yqXJX zkLvOb6d|1L_5?Rg;* zFRM`|iU;f4KVT+*vS(JvzE6AF;?Z21+t{5uxr^jW4}3(T4K`$N zQ>a;_d{(8{nL-M=syt(4J?Xs)R_-|)oEe853m1U&(AgIIxp-Z(qk3&`c{l!5C)EZ< zX>su&+)yB0JU$FcoiOE7@hTZ0o7o|m5OzRgWT>%rZ$~rrm*Z}(4Y^Yx;&37(mxhk* z_B$iv^hq5xnY{>X2|l}d&*bDJXmV<5xL7`ez>NX8CP`!AbeYu%ad9myWs8&ngZa`y zm!>+7{^&BJ;JMzidDfRrmpcgZe7jKM{}iX zxXHU^y#h>6v?^a{I1iHkkcaA^lHsZx(?#n>9_JmFbFEI~G18XLDJj^NsBx0?mSd*! z0hZ+jDV1tvs-D+j!z?}{uC}XP1?&?T}I9R`vv~LFck;)SkOO#JOkVf z5&Z`$fO(QOi}#|ku6h^>n2B6aDos2;q6UiO_iBY2<`0h4m{h2JApuDD$-ZxY3T3T$ zn&0VEW!%`M&b?JR=`z zM3rO+eZWh6*VwQAnXr<&1faTeX*~0 z`cc+x3RP;`nmg*M3&{k}rkK3@ckQIg2(oUUff9ew#Lh0{-Twupcrqsvp!18pQ@_8W zCvFR}I-UOWPH6n|2dBZWqkTIIX#cJ1R9V}y1`JG-)HUjH8tVKYE?IC72@Xq>(Q|RSrK|rN|($U4IUQ( z&`#tuSE4ku12ZYK2bzfC0~s`2I2i>8rpS5-%E|p)OhWTh;|JKYz93E!%Fs?|-qa-h zcxUnAa`Ua~zpc^m&8_ur;kJYfh{VUHzq`uRKtmb2&Ywt1Us?M#actV=OvUkNb!tup z8e+*SE?m<(u5yf2tVRtI;+Bu`S{e15(l5w_T-qPf?L)7r`=ApynsJ_}zSz&`YhOa( ztI1=wu~;gWO`40z9DD@2a?yk~oneYn7B3)=Aa&!XL={BvzoMN$`efYGZ!TjD7X91a zS~e|h?1Ni@4R13V86f!)DQ}=Kw=hlMLPC(Bw@D-_qHYH=)R!cWx8sf3FzMSqG+zv6 zclDRxrE2ly!I258?fb36O)b~yfi+$w7l1Y+M>m`giDtA~bb;X~=IG+(#)>-h60W~4 z*}J)SkIGe1N;`P;Z=FU33-S4kA+y#LMCsV%&V7f)U%C1fkdNk;x}eS;N>9}fd=4;h zwJxu4@_O~Y)pO_m*L0QxTVEml>?3?#t&4H{G?k5%uw9kZTL!>FfaghJuIVmmzzZZP zDQU|*#^vz;W)Nx`8oMPq{=xU*+&sO#y=eko&PbA+Twb-zY}fSYDawRe{@2a~42NKy#c9T%v{8_uVj#q zJxf0Z$gBSWRzBAHUocJ7FWR?l&y0?b{&y|n11*Q=Zdh~e{gV{*t77LP4@L8BaD>kK zMcC=tDa=`Pw6h4p+C4f3PE=&Aw7^S`31HVebmUUvcz6hTy53E=+`1g>rs|TpBg+>=X+->8b0lRG!Ro=ea7FguHd>J)|hH=$m>f3V2=+Ad|9Tx;Ncz z2DV&5eqd%4);e$X2cqUSF=;h#NUy>Vf&WXgG1qHEp}=R~8h6Booi5`g`8B`UF6d8( z9LT}kBt~ee3j(}lsG_LUGgKwqb{9aBj=K?YA1=d;xWR<57Z zI@`@9^}Y4eDw+h+DCx4+*cE6k+wOOh*Zz1qo{(=#p5M*@LV;li&;qmI)g+czR9x+) z8sr~_V{WmfBUfnD;JlF7+U1e>vGM|5ux+^%pDlhq5Oiu4haUlW-1m)`zGw!K_vAv&!x zZ~aV(O{Hcrj|WVo%=BW26>DLB1l!%~;M!u?5x}#YzFS7+H_a^m2>PX5 z)SGQmx8y@Xq87b+KwkVWmg1%DAYX|kJ4`p)rzFC}91dv+93jWlf16S;?I0Su#onS& zBlYrR!_x?+7?u5w5j0t zMNz+p-+mw>N%D6Y@Pc>HFI*i zh3r&?V z6h|1b=?{+U^^E&ZNht`}V3oV{kz>Hw&GtDLapd>Cytv>dpbRNNdj2Ex(~->zx1nul zldNO?=vF&ZVI!pS=NFOpzgtI#2mGURvy>mHiTmCAh`6BAV_1=RFr2Y_zO_4~6RHi2 z6f%!WEErh)A6?30x8g=`4Pn4g;^&COpTCWy4#8g5CYD7 z!!Eidywug%r7oavz5hu_ZI7oKknP^m9y*lre8G%DXYmk%?YQO}&&re&oYncM)zaf} zY2$dE1G$D?T)1eZlIh#Lq6_^|e~>8N-VfE_W6YYVl+06R_0I(u~A% z$Kf!tCKuga5^gm8X!y6V4;1$}=ljxd@`-84T(sn*E$B}X_WY7R4PtxzP;S0Vn)t}# zI?mMEGHGXs?r&aiFnW{(9uF<%>;);5EaCPmXs3gXXww^&wInH5$x2Reo~uB)-099! zK;g6{aHbEjm&?XS7D&J(enX*oVv=ebxg`&VYy2->Ez5{Wg+LLvquIxmDYF6-R(>*s z4LsBVvz)=M3Sr6$@kf@@^f{t>@LI@`V5-PhR-1i%d*)_6z{9KM_9Ovd!=OXQsbS-6 z^(6?4Dyc33!zMHUn7nHDAcWanhKs<1;cxn?p`o$nmdbLYZ){AlP-8G<*r5(TwA$`b zlgq#YA(t(HZ)60FTJ_$c<9OFD_r-xaZga#_H}<5D^if;MTY>gtx)4o}lBf6;d-qKX zLv2+*;ij}h7t~#kGW}8t6%njHB+N{6y=ppEO2z6;|EH&@QbraK7yp( z*~xuScB;dC?!D&0KupPLeX|>xkinPvxu1EHi&kuSAuHqZD3x@#RU@ZwCMAZ&Y=dWx zCd}Y4;B_}Ojm<%T#LJpf=;DVE6)iS_f3EPD9{#8VB$-X)NEnjus_J+pWOi zk{331j4yJf>J@}3PpA-YLbn;{HfCSQww? z{~9M5lcX_oIaZA%J%MAchzp6gIt7=&dP7JVYj1 zaV60D?zK2J#fPZQPi8p*#SJ&m$RqyT5EUVSb7u^;| z$jyLv!MWqfERs&fkgJ*5*{c!i9QaWQs2-p(WOe@c*F1j3SA{Z_Y^}aKx2Bd2DPs5S zTjTNl_lkAZ`Eoj<_*W+?Y!G} z1W_a^wIx*ZgJTfKr(tFWBlL3m4(*pTq!5%+l#=W4xV0U8A1~azsKwXF^qn>;xXFS0 z-Mnh-Cx0j!k^M?nos!nI@@&m^DvB@=iONw})lBxmU3TrwT%NkB<7&26;<@>!#Tm`f z)-bAcY9Ygrfayd@ZC$)=6rI~{{Kvo`9|tpPi{Fg^w)>9hG&mGn8<@a3Ga2-iO}&K_ zz6OYB=}(U*xguk?wnlDrARKhPA{HGTNv;ZpC-l??1i+VMcLK@Iyw3e7B+%%hcW9mG zzx;9z>=E29G4(ang003$NuZdpzxMx<^^R!vG~L2mJ~ERB_Y%}81_#vJLbfwVRb%(MraPC6sR@SCL%w`eM)z&c0_zL>SQL+>xbc>agQ&U5?08~^ z`D7+99-AqA;7R)2{poVZ&z~#IlRzo5P^AO3YLacfPi$|GyJ#W?z>d#(_q%`O;MoIx z-}*GB4eotdMabnyf(tADQUDu?HRG7shIGP-P5py7kt=tHQsWQVI&XVLad++s71&?D zerdM5Gm46dZSU`!16?LIb{KQl<0mt-tec~(Cgh=Z=RHKB_ZJsc^#$0rs6pd3w?(}) zHnZsO)fzxArjP>$Z8|jMb_2NAN90>kzk@b#WU!uiu-YNbxCO0vdK{4VZ(DIGrtMyT zeb654T^u^EnZ_r=6dNv<>QUfOFSu8l+XKkHCgji^`rN!O)|pH->12x)DQ|C=Xi!o! z4}++2V(QH23nan!NAqYwkRsvk5)!=G-d9eR4bA?4T08QI01PN7*8$*rO=u@=B>J(~ z&q0gn0L5|8@cCe4L$Y@QEgjQ9xzvS(yu7@Lf)R`97K;e@rbbx8`nl2jAwfQ}w|w}V zlkQF@HTS%au$e9evD-m^bIS?0Mz^P5QIO_Q0E{MqJJu)qfpSkTKR%gUc5jIM`z>W? zZb7|NtXA>EYo9~G?~T^D*&!sq)Wu927|Hg`qjc}SJZ$EZF)h%zB&9@9KX*SOdJDDT zn7iK>XWPd}PY`dfTQK^X z(~dHq#<$db$uIyVzv{oQ=kcOKndgRa94R!G!#|BU_=Wln&0yF(yT}ARO8k(Q0y-uq zJ$}pIUlMo+GUbj((#WWG0%11O_#kVy3BCkcOAc+_n8}{rIBKUoPl57Lhi7EwPr=|P zqv_dMbgojL2xg_#ALtMInu5=6vB=q|fIHukdR6(r{J6=I-xI&Cf^aN>+rg8N7%(v| zxg~guef5o4p#5DmiYYIwAKthw% z_t8-dl%UBl1W49~E!SIQc#mjH_?QmqG}~uwAvrQLGgs<&t{l=n+;5p$#8czk1$9SM z$|J| z-HIHJ_K7=nF@vhdd7ObiAF9r2)B}t-dzECE@XBP|^K1#g@O$~gP+_XA&r>@1v~tqGFpb~lLy+xd3~_n=taB1uhWsz3J`TbaZ=#Y7k`gzRqp zGjeF?Z2JQX^bd}P{oe;Nzl(Y~4Oc0vY5y00s1n8V2nN2VAnKMfV@ZljDmCt7N-@Mp z@(Jmrsj6}*yATs!5@xEWT#31$UAAS~y-_`^uw(4;W;B5(z)l!(ls)!S4}bLNZ{-2= ztf7qx;T`cE)MUErxcj<#$3Eg$(w>>#g#N*y{yCNNxk5(L{2P}eVF)OFFJjz{H(XWh zz3{h=(u&gYF^Q$q)>>yL);kV)QQ$bAEh!Ze^IPA_7OWQ19y(pfBta8I4jNYi=a$s( z76Za?rttexvjeGQJP|^Q3`~`}4gAbWRB6~sR%8x*p-IV&8=DIUA9f0bsg>8arw;txCpN4omwOXD#XQ^n!KHG8)OvJ5V^1YDTiZm zd{awGyR5Dt$4nl-agfG;X$iQSo;V-O*2>CCB^4FBWDJL+{5{Z-E6T6Geph80A3sPq zgg}Z+Sc$%N%scp2@b-Ke?%o}hhKWhk-2Lm$XA_tpZ!uWZ5Mbiqez9tGC@ZJ%&D3+s zyoUbccys2AuMil~lLk(OewW^8z<4TAL^wwSJ{Byhuemg=kjm`5nLf9HI^xi$ey?)R zhJVznB#lHrT^H2k^H9Nf>#Z*re{pv4Odv#iUv?q$I9$VTv6uMrtFH`fyW}1BO=*-X z*_Mij1X-lN|D zpBOh%z3vx*wqqdTiU9ywnUX%%j+omkoL8;TxYM%<<2mFl5P^Se#VUcIre^VajX~H ztTTc?K3OeFQUz*Eqmf*xA88&i!$0rI>cutpzE!ADHnPB$g|XJM)CVW1z_;<<2WAyn z(XGCUl~qfcfB!TSgLyn2`haHBN(>7ZD;3Z^{o^~ILHc%lsfmkl-5q45N~31A_@{9-mhZS8Q8)Ca}@*?_h6FGd~5(;!&Wm^eLrX6Zuj#KJ972Tj8hn1E=4Z5 zofQ$f|7hR1ei5Ib6##rYVEN9_!XjcKgPYL){P513h}RkV=;)~BW|DvV)OLlN{LZSv zu;b=n%4ByaF1Qj{NZH>HSF2F(9jn-d$-KWN`6SD3W83~HSU%r~FZV}Q`M=^v6sQ;K z-Xks_(fm>hLW`O+u@q&`n?+IcFfBiIvcH^v(kVY~C^vcFBwcj9IgINI$fG|t+P^-e z3EH7P-yTyhb$ghS+Jf!4)diiIjXxVhuU=ofoJ>@I#f++Top$cHUL!;iDh0N`gu>Iu zkqMh#z8=;ntC9okl8xO=qO7YCpB(&@V7qvu5UH(H2d=F=YITI_?@CqZ(9CZI8O_XH zPg7`~J7H28&IGX!xo}5N-Qm;sgfLOG<&LZ!P^sr=#hE!ZPQ}<^Oj0 zIxt&0I@#A)rSrq(mc^CZ4ES^M-%e-zRt+XGb1MX}eOK+nU6>!YfhI41^O2w$fZIo( z+9nqk<#Pz4?4_qSS9*V~Z<1^tQJJlm7Ga_UlBUw z=!=L0kUP5Qr2mvMq3f2Af4OheHrxaiWuc8%t&?Lmnl-TrCaZ;&(kVvdb3jG^LAK<) zgL{n}U<2U4V3i)^G_5x7ZGo(e)^w~SxF=&<1BcAW(cYjNz)l@~!(;~PFB6TFy9h68 zmST8D5=zJV>Gqj5oChx9-xZ!jdB79q&-ECfhZkPC#->VhJhepq34MAU|1+FxNY3!t z%?%A8%Fb2FFA4`u_9O$#L=q`tc(DV!Soctcy;*c@IEA($yZwDr#(Exp6; zB96Xdo@SC>LP-H3+F3?v`P&^|v%SJ0I~TJ5w!R)8`h~fOy&%TFh0j(J2t3)h)IX78 zySvNO)js-6OlPJZ8G9sLLI<8z&;I#ILL9aeuB;r%3P~k1uIn*&CC$VzOo3Pk>VWCnPdbflEjj z1I(k5$5NRil9H0jN|wLa;m4NzM{{{n(~Y=*2+`5md3D*3)(_18=29KV5+my@by-CH zh%d*wJb~G_@FBpxpyX_a4x#V^u`hkzVS0lTV(&(dnEIMmD)&hK9oq0E&^}FQyj!fM z_wi~M0}Cs(ru&Tm1_mblZEjAr1AN~8;XzTXkhPNc$#Rtfj~S2@0=#QPbagYQn}FSY zp8_z{de zX~b@Hc&~ts^fyy#xv!F#J|dr3ZR%3L<)9jTd6!^7@a)P*ob9#u{q)U*v`~5b^GlbI z|5E1>GeEz9F?fG87#NUP1jFR3QVh0C?_OY z1q@Ey*C+c4_$n6LU1k-A4i=l%Cv3SF-%dCE@!p?~O)57ZU9#}s$0sIOEuIBBZf`4U z|5!icHaBrKJ?d|B>=TSr9Zh7rzk{r~8H^7psU~lGPv0~GPP{^` zt83s~$I)^&uy6Js7It1+3p}t}QaU~*r6md5U=0kKv|HNpRtrZivsn<7W8#&J{$dq6 z^S8hI9}Wg?^lY$k2Qnp4~-C zdg8Y~>9>lqpz=28^54d#ScCu3Md#8?1*+?G-rR*O~cs?*t3k zpv3TBa?!5owf?}Kez3ZQ?$1^kt$4btYkbT$KYi2 zm91G6%Paq;CQnP3Oa+)SOO#Qd4XSy?(WReQT||hy?V_JAcgKa)I2cg)(c>};0peP) z$asd9HCpvUKYAQgSTO=^mh?(9+I-Q_ z^wJ0a-}tWohgP%QfW6BhKs$W7nd0%+eJrZcWf}&6ToACLrJ`7;w8DnREGS5PvQQmYQuiJDw^7H7w*Gklr?>p8SP0Zl4$Uu6(+;ri$6tl6)8OKZv>b# zNU==-id*OFOcU&TDla%8sX_w?gxM1_>33K*OpJ^m)LTqRii?K=>FK!FQ>F+LSl}20 zsDH8c=YWWi(R9899#`dFI_FA^LQQ{fOBGLI2O4)bed_l;_y>Ymh}3Mo^Y3^7F*G@t z9vJ$;G)j8Ss$+z^=R~p!nv1QCY}Rf(wxN&+;881PbKE5pB>(=62Po5&97M&G6fQ83qN)Wdp4-7U+PbMUVDTtZ-D zqkKgcHQhcPKVc5znX6sjb*2a)~?dE>zxOo@2JRJyt)YH5qwn?Tj2BV(rHn>zCj zn46=Z_UAt|P_j+(FyM<+@2 zPo88mQVEH3TFZGgc|Ki+L@{%Fq&iK+x&dV4G9u$TWQsaukWJofdG0(--fUU!qIIsi z8VB9wxgZPhq=N;Ell zlIYhIyf=U+P&x-lL2H-JX0bGUN_0#F@2tseTwr}=Bi*-yXMTlSY z<-~TvRI&DwxsEgwHIb3%c}<;Z3)yH3l@Y$MAr$^Ov8htB$yEY;nk@5x->6&vr=n$| znpj27v=I+~eh>jkRySaPWO1&I6;+0<#QlJLO9(TLwll9=p#K| zVoAj_qw!|9RbbNLDH6!cP@j9+1k)c}%?IDv-V1xbBv4$k^^@yP6g>tL?c0@i(ln#Q zD}rgd?qSttis6_lX_b_q01oT^Yjvew-j=tuG<^_-co0$x9L~4yO zVrsyk5H}S@Z>{%lZW|ylK01C)8VdFdasqmI1KE5J?|UoTX!LElaRJI&f=e3A0c$0f zeMHNYjvY5#nVFi_om{*}$m!(swNQa61_*^ywNl-?H_pj*!aw_r1^O+7Gf5DZLdW^3 z(s+Xss1+&qo%me()ntLd`j52oI0R@=nKq)*QBY;BE5?%{Ss&q7KFNT)9>oz`B3m>fte}9Q^mI=% z6trtzTs6U3ke5R|KlN_d-hHKAUDIa}y)gpi26&FJqb(d!gB0O+dj@Y~GC8TNWW!DE zsdLAoz{c4tZuJ_fW@_|EZG@#=Y|jCY{mSFTx=4-UqodXc#~Z9o*K>-^s?#B*i5p?X z*UD7x=N4Zc2%r}=UN7=nVSgdbp4HQjGBBjLZoi95O$%o)y1^@UCc4pZ-UiIm=qqRh zNH%9{Y?qdoy};(67WR(q-Ym~sBO`ra{AtimYN9GpJD0IYE$pY8qjvUzu5*#f+fEG2sDt~L2*5`AK{JBj6D21x`Os()YtBWuvLa+-kYLsNDh51OwJe3)Zmwx20KEYA;C}0# zXNKBD@6Zd_#Qk;HJyCq}1OSe(_DfbiPnar1C;EJdHO7^Y;NTSkt)6#wmI%o({fn)* z{Un;F>sIEjwi!hAh`^L;?SxW5_&?#r$>U0-=W-(lEl-LgZE#GSLh8wi?a;k5UJ>>| zujB3(#Q`2Ve8cX&4Ja0bj;Tmk&v5h9gD4{ub;yh-DhiuWe+qBRi~4>dd1`k0X;3!*@QtdrSSDgC1NHI2|B$ElthgCBH8`K)3Rp^=kRl zZva?-pXX?Gjn7}mn?-fg$%>mQz<&!`z9mS_GW+pjYsvV#DP7j~Ixakkt?Mi1E@6I ztCbnH)OvrKhX()JURdc0*B?ygm#6p5@rIh47wdHdIbhhC$_Q9+I=xdMf6(+HG>NuQ zSm6~(b>;*@AfV0n(D^jQ+`sg7X=}?^k=Tw=R$5Wi%_a($5-c0vgGOwfVWhza2M3%OWYEwz^*udO z4+PyGNQ9G#y?#BnIR|uY!uj^95zfxepmoi=?Lc?r#S+?ZuPfb|Xn};`i_$l)YWDXA zv}XLP6WQ-L><3%OQbq*uIf%;w#^OnuQ~P?NL{w@1fLlFjt-jQ%UiHk;OEMVL^7jG8 z`)UyzAcvYg&NMeF)ah(&6{3=m#AG>hZAw3Pe|=9yivq^qI0^#=1#ky+4fWApVqvK| zyR?35+xEEKhC?Gzd8K1RKWCSb<^tga_W` z571ZV5m$n9N-)hLe?@>eo(D)6zDtBri(B0Q(P+U^wlN8LjqiMdl zsE5F3L^4@7-P%{LztFaw4eO!!qX+`RtH$H>TII72*sulwPJ6XZ3MX+o-^yP{KS0*s>p;k z%TDQw!MKUfYx7EEWMoczHS5LB$A%BMt(u35Cbq4C^=xl%e*?PV0BKsE7wqj7Vl3Lv zpTl!Pr+t3DTM3b+q@=7~Pj=;XV~J3G)Ec0zy>WjhXtztzikDYKeqFl=MUgEy;)5EZ zD+!vr?aVZW2%f6?0T0t z?rZPNR1MO3KIP!R15`B9{DOkvEID%6ga>Gl0$%@U#FfWUQlesFOFw@c2ZV?F%c`7@ zpeH9M!&3ra_xZ zjv#>~Jk_10jhE>5bz_sHWmH;P!2S`ToL!OYZU ziV>O>-dmsDTg5lDI=1&qD6&nOsURjDrRPu@GtG`77DDXq`x2oMD@+sfoI!W-tpvr# z*p|5glsyM~+MA(GAe3z?4`!ECo{wynucjefjS^;@C}!N35LvV=8pi0Z6M_nPe}Ek<7Nf%oQVCGjvdU_C+IT1^v2!k-~nPuSkbGS!@4fAVn}7 zV0tM4vSkiIM4gY2nTLl67$pgS%t|t2g-$;OaJQN^#O88jGc=-T={qg$aC61C?~r9B zNQ`2i6l8a9=9zH2abWDpa^5+z7v{o3;ht8jbmf-uO+${W0m1MSAs6k(C#TOcDB!Wl z7JUK{+?Mu-Io!!C#b`e2UY=|cvKyjfKH&BQ97|$@*gVika5!DU`eZ|)y1F_Q0P#15 z(@|;x`y(xNdJW7oT+~O@)Jvejc0f=N8!AM?gR5gsN<(enP_GePYXkD4 zP3PT2$$5W8vCnV9JxT{N2s%WV%6!80v1fPT7tL4T0;}B?J{a4Z;wrCF0c>3y^269NdiWKN0h1>lkm<29D>3Fd%VXQTMClXqoqF5lLIB)RiyOy8oqxaqwB$_~X-h2gv z*6duF8JahotDqSLK@^6^c- z{}z8OB0fPxkH%k=##hu3IZ_EVNgWi6kU|yjCP`t0N(F9x!%-q25K++d*;>XK{S@`Q zXoQ2?2qd=P`<%iEk|W}m0?B|8S_EF>Gs4!Mn;+9hSXFDSkuin*H-{; zCkZpl-q0&2dP=T#uaeeD3{a_=Q zy`+YlAi=-9zP7jJ<`o+!>$M9qbD%1^D~avojC%9@G|pM&T5-vzHfb7PY5Mm{^j@>l z$T_0up~@%~;s_P$Xcfv>QBvMupAHDFVcbg5=YCc;BjK<#;zK*xUkYkjBC{%G=Q?GJ zPXu)?pS$;24EqQZ`5ZBg1`>tM&CQd(zloBf*3;L=5R?OKKae|HIXL*`Sik)FK=L<162*Xm9vI(K9A*m{zm_KIQR1~y#nxGs0Kvzc`xO`J5zgu^fkth zv6Sr%1THRE!j3U4#ZMVw+2?-_4kUyl^+2c)#2f*BNdE^au6CnOqP|3g#~ONhPrOU` zu#!spvnThztHtd;?b2fiCN88c_qelgU}1rLkpKKa7#V+%R-FTp!2&%KQzrns zl>qj*kB?8PPLn&Bt)80mye3*2I3ZbMruPU4`~i`7aceA3K5xu^&&b3i(0Zj)7vKyc z=8#*W?F--6;KC}vcI1|;F?66bLk=o5@~Y|{e!K;;{s3AS)PoBNntm5Hj?Z?2;UIQP zR(Nn+uHP+3`bF_E%<8mwqomi@KLEhe4j_*h5g)I<&kE#%eSLlD7#Q-)-mzQpv#%xd zyCS+378Vi$`P)kKsc&C+;^X2zs}yMya$8ZfwzbVrw;8TKe4c8C2(R@p_1h=~(>YFB z=>SCr%ULwhR_^PlY~|N!sn61Pjp%S5HuK=#(?%F>YryLJBK=+FKjs z5svO^cO-1%L^eerw88b9ikVriI9xW1{q5Wb&_oIgO9E7OY9046X=$?zld5=Hobd4Q zB&DTAL05o6%^I6tX|2l2NRK-O9I&myklEkBLCkq_3}!_?hw}oR+pW1P}(^xqDX_RAoHoT!;7WcEJp~+ATgw4uUUo;2=1qH=!f1XrWSQz9; zo`5UrO>{zhKLiNQE2ydlBql!i^5qMV`20#IU(5u^%(2|oRDPJGE;EMhW(+!9Bp0<) zZ(2PqhBi-Nf^!*Edt+a*P-^ivU#yuk->Q&0WUDUDHq@OIJjvX<;V) zv-0u9tu0i5^A90nM+W$R(BcFHt`asNhB`WmNJ$BgkB`>~W3^fof(RKJ(g6On^8R44 zw>N^Ome$hdX5ixD8-Rpq>Fn$reK|y}+6%>KafZm}(mhvKc*Z96L0&%6dpY+Vol@u% z_8DxjZ4T0g){agDfiU3%dvw1BgJZ8en7HC!hlMYk^KN%vC%%O@avLB>iliv#_<-~* zXx3b5eO=_W0vuEZqg)C^xMT9S%n#$+r9piA0LK=sJ3pU-mCJv29xggLx%lY7bGBu8 zG-kpCi2T5O!S&^-h?Ep6Y*GWQ=+C94dqNQ(KH$J?@A^Oz`^nVwbnDm{9vECJD=W{q zI3nPR!N!^b=*k4V#6un)HLC#t*dqrYxL6KmmIsdo{P+e*oG_@k!88Y8%Npbf07xj) z5Rw!I2E56i@h87&nI0(Veo~@~)JYR^HvxJsrgUTKbg$Kwo^Z(LRty>2V+V_}#Jqf? zOXC|S4PO(7sJzC;Jrmak621Y4wFt?J_;M7$ij|X-1Mz@fUo5NNO=&5ch?TaQ8WGU! z2dD|~J9sJ40R5aNN4T+kls6RYd*qFSjY3exr=WleMM>VnPKfUbNrHK-ui40MiMbzEQ=)6&u)npmA^XlP~!+$E~$ zpqz_{ftgcP9R2+^n+%-Y)Ki*91Q^8U&!4mCccOzYctlGJ;*oxN9Cj`) zP$0%T4P&+2IK>G8r44)J6*YBr*fg`Su&{D;^slPoLOA#zC*~zWUcJW=2~G^uQHDT_ zC+uNw&jIu^71Y!Mr9g%?nGW>A=W|sfHNh|b(bN*{+|GX{mq&EAr zg0sJ}m9Z7OE(|D>S4l_`ier)*Z1uuOWxo$od~jR;910()wO+P1-Rz$#lRGZeQ&-6d zX)9RY3wt2w!^6H7=R*JI{Gy{$s-@9??jxHNCKV0Ial=lHB5{+7`A zb&>WU(EW4qY09jQFDpn6cz9~5hTu5_C-9FMr%HHGj~e> z+6OREiAkD6Sw=b`Bph(BXl4Ct0GV{~V{D>lTNl>SXxx3! zxRJ7zexr=(9p)>=S{sNB2Rv6#C3^PFZIM4uck~`B#lMe@H&mZCd@=M~TTJtL{xBzS zkNG>&Zw-v})>CEoSONo4Jbf5Kgrb2 zR6ZPDzr{yfnKN&l{3`CYd-&HE*!4vKVej7u>3o)sI|JP=DnvP289WzEWGq5>0wWbA zB_#?P0b&hD3vts+jyCs&+n*Ta>WuSFhXoqR52-nj%#t;cqNEHq%2=wJKLw5qH4O?m z)w({X`S>}l6h83l-ATtqInB^UD#8_ioyLy*oU-986+w}dvUK)6&0^f-D0wPncAk0XlTLB49@hT0C`A@^ND{$rfl}VXSwlzDf0?AZR>OM@S9t+2s3B>Fq^^VCt`_%6-i(5} zk=o!1ZIOziI zO)t0U?bCnF)fU6WF8&|8QW0do?O}XY0{RdYu~Y0H90I2k#8nQ3njbFlrHqs8*r!MJ zs_33KCRJN)K7dfrGNaVp%!a9rtP$^CO}uaLI_t|R+fJ0z%9M+He5d;fU7zKgFUR}6 zoA*u!^Pp@sp?gFC`k zpvwVJ?8XlC$*@O2@WLj<9?j>G%3uQ^abfIanDy$U1veo;wSJ*zpNzS;7j&O z`s#4q;%k{%zhF(%FIsN>e$4%DCqhBIeju5W89*Fb+<1@vW5wRm|CgsQZpN0RE;zS; zWuYCWptErAUO(ZB?CR=l1vs7mhYHx1+jmP} z0a2ivimVdr?fp>VuIXuH?<=epph0i|R8|tqlhhNcBMtm#uKt>g=pb6XXaeKyIhX`p!%MI3GnM@ksf<#saS_nrs&O~cpz!~GwjWOR-ja{JZagB5!PD*j+WX!=K_V~twN-S+5 z)g1=c8HVcq_<*Ncb>k|cHu?`IRn>aJ4TDTWP3=9F;FX~8!k3a)Azlq{*>q`m#VX(d zXAX#)VE76=(ga_n5|wXWFv$^`=`AvJrUCDqvF?$r!(%uhm0z1Yt&ooC5;ct6qON%=-d(KvH+HY&d;@qRfKiNn z=1zb1v!ZwCeC?{JZR#r$U{&Ova|7;ze~NZ!V*LY=6u=XUe;rP|O9IogoLt~4>iQ^z})cup%+4{N{e8DfV~*OU{ZTsk>H5o%7XQJgO&iregjuB-p@k);yBhqg_$Qz z^v%QGS1e{XNtwy0zwXnXBD5${`1dRwMFu$3@!JEEOw6PpH@@>Y7hcg(xa;ljj!SD> z7RF{zO`rW7^;QKUt-zHK?BszRHXvNyr_BcAS`wJod31Q+!9-^zZUXRefG0t6D{8u8 z<22XSF)G$lcA%NRy&#<}G3SKg)Dvw@)J&4DEdY(!0mPH|3$`dQ$;6AjtfG>oOmo+= ztp0oD!9i%O9-HPrPiDgXY>mr_+i5$OKnIV`#Ey~3xF|RXkWk#ifq5YXiS&`pgI+A1 zH_JovJJ78B@?SSJ>dYeYPhcG`~zYb`iQD;y? z3Q-)O|3|hA-gj|*ShOrBc&XX2?)3k`OOZ=I2AbJzZT%t)Mt-7 zrMBs`vF9An=u-0C``6=Ch-v@h(%9lwFW!RmL?QhoY{whgwA-00u_tEkb#M+$ibX@* z762$jGpUEEB)cL2w>N+I7mANBfBkqftD7h$1!AmhQ} zxb~Ab+;#73%t807yzSZO$S6$Uz-#I&M^|IWJ%SC+nL7cMDCDdtH}~n5Mx_&yw%Z;? z{fXffQgy}Yw#ew%6d(7}l*)ox#UTR&qm0`NQ7vV~cR*?Hmm}JU{>ynJc@>3|J6K+# z%{V|?CIoK?SgnVFx3}MW5+%uMapDA1Ogh;dD^gftj`yH_?&Y#L7e3$lmAz|wZt&|c z5scoHi-*+;;ywtA$t-UD$=dOd@hHR-s4^}3((3pHm*ou~mSqmSm!@yKB5w)>Dw{2w zFj<`Pw?4@JM3WdqKqU`!>*HG@miI~~7H_-8*UD=qDu z_3f4650y2z-9$`HUSPE&o%romyPy7bJ2IR=ndghxdilFl8l2#cSay9fnC$ic3zlha zp76{)Mf>_-=G+4os1YzFi5My))92E^ftp~@(*6Qxg7$}^RFR9^v=X$BbYv}0oHJz; z!*cFtJp{_7KqOZ|tH86MfbnN7kW?A|YV46C8ub0;Uds{nImQ14vWe7Hf7;{fv>oNg zZZS1ISvhSsH4awWuwZ??n+(4%X1LjJv+S9tPm)9zx>^_I2V^>o`;;l4N= z#MJZ?ck#OA&TKu}UDmsF-OQe{dEO1_{LfpTvp5_P_QeX`=d2u;;gwK*OV}w#f(7aB z>26)q;ab_}M~O&^3(f7J?|#d6f$~FtsQ7(s-CHs*5pUvpOtC2Vg?E>spP^7QZ&&3a z<8fli48?qRn~Kj#DGA{V?iU!4h{)*2+?>>`NGbKlfuHC2tNAkf4IHRp_f`1;o5WXe z+#~#B7bXQYE178pYNf;3#u|y|3-&eLz1Htm*7hin9l!z@R$+#(z9HLRqSfIfmQ#2g z$ShdE7z5Qe3%*hooXV~NfarHW=kxp=+}0tUa`PTC*z%_rWkn=69*WP=9n5d~hbqg; zy7;jQq2Fq=m89O?ENOrx1c3mlBmeP6NE}R6^aGBb)ybkjB9ArUVTl4AER8F=YfXoUfGGC4<9k$tk4d&=l^hQ=^QV7VK#$rHa0%-Aq6z8aKB)NP&{N5b7Bm%zBovlzLiDr z7Gc%jTc#* zi^OL(I66PC(4JjSv&XV}xTFuVnzb;5q;LXO%1@Me_e1FD=$$etScR_r5d|d;oS?@s znjwJvug|~3R~}bBO%_qez)o!IZ>t!FbLJWx?CX=pj!=nEp_p_}A6->ysVw=}#rCUQ zk&W>wDrzxwoxCHge;Y&C=$4N8iP&fqT0pH0oQ@mNd-d42l}>2D_Sm0$&qy*32kGlu zwMXs+d$`NN;ilf*v(M^@Nh7i*HW9nV9Wfyn%js2H7@W4&$IVqKw;B;p=*}0S12p4{ zmQNlJW~l~MSRuHvt971Hm*NCQcvVQa%@;J88v-tkV*N39RuZTxBbde zAbboYl~HENeyW;|tPc%jLf`P0neao$^%*VZJd#fb}qEG@QJ zg8u#6RZlk`fVGC9?R@ka2&yH3jNbeQ6b)Za%PY-`>J>8vY!bu?DH{^6NfQR_Cb)B; zcGjthITMk2EXw{oY9q)@c1WL^;(7D)lbTl}X~G1TNk{>S2Tu7qV`JUG_1XTE-;a+d z3vA8#Ok+XxKd%Z14##`to^Dpl-Cp}q5bhhU&e z>43JYaKf_}vXY(G!794fdpe-~&-fyb`p5LLhxiN{5J-1_Pe){v+4}eIE55q=ejoyG zbuHhXgg1$eLt(e1-Pwygbz?b{VXqLU^&b3MxRdMY7H&CrK_ke zCu_m@7=JEwZibU^dWP#--LkSFAu1Yo=>S96GFo{&mQBBL*gfa#T_^J~9AO#(G_;q} z@d5;HDCoZaF<5We*p)uTP(G$a_PDJfRZwBN(|NHubNl8pQEX$*Qr`PmN-E%9-?pK) zfIA_JlW6cbBjp)A=j}~8Wm$4k5-8fn2BnfMMZ7TRmXzygoYRO%Nr1w-9Ib>BkhNu( zd|X;yQ&_LwZBQ<7V+&vBB}HFq$?H{wHUI zZp`M`LLgx0054Bv@qL#{%eNlI;z1zO?TvMFO6h*Fj3S~_kw)BfeZfcO?jqy8-aU}t z@V@*gGRo;9&Yv=Jlt%P?Z_StWW9OS*OO1n``$dFa2rFsJ2Mbs?!4k=CU$iFL+jy8L z@6>2tByWt0gQsP5#IjsBy|b-t1chgc2;y08_M+PE#xC8f#sPXwN?b8Ll+30tz`#%t za^`xRQQ-wCOO0T8SLROe?3r80S&~nUlkslwWCIi-+1<%^i5pN)LYv;rWIK~iR*f9o z8ud5b4~{ADs*B+&Wgj_Q50kMvKk<@$WI9}%#BUGkd4tU71@1U`CQ-sa`WuXhG6-=d^-HmO^MxiEvFrzZ8#@j zH2i=r7ZFs#I4GcrH6vGWN)^bH-cwNRl!y+9mcI^)~pdPayHjf$IxE^Cg+1oWG&=^KI%< zL9IJ;{UKcRyvDiFy+EZP&}=c8a%*LiCes4F868`I`^q2VC zwlF&DhWYbU?!X^?SouiehPeRId3LkBg0WY%noK=;*d?pk;DpzFD*cX+)1vDLB|5<+ z4z`djG&nfMyxyd)9qp6Z^zJ5%-$E+X4UDk}pTXPWGniS;f(kH-|JlB{vUqMzOzw*{ zCQX_<-7{b&Xun%QkoR{RwmB-;2m`8f+sx}dchk6e8qaA&`4irYn4>7C4F8T- zAL_9!iJJ`Ed;VgZ{t;-c#XbJ3agt_-bP#tuzS!q{EKoUcEnT4uwPyTny+i-h)Y3RP zjb5yjCi$GA!ip&XObG$56g)_AYK!es@N^@3zhmst0=hEr(IP-*ZfCCKpY>Vw-mR|c z&NNy~q4}saK7MqyS%)|1XJsVqc30*|j%BW9qzeL}?(pSyF(wxePXX8o4bB?|<3TM| z$L8gYyRVj3m;FM@ald5I=(i-DbGm5H3%Gk#DyktQ$)c2~&MuaKFvfJ$osre@YmoRZ z!F=AnOp1<@ywYppC|`~-^@@&Ps=+`&;NK#^wCZ3ZKS@Oj*fpyt;GplJM|T6oByg)B zfO=e(_0&Z`pC%N)Je^76v$_HX+Do)o%y_WbSrK_us@UG8iFXo8yl`@R;wKF98pcAHo3fR8AL@(nD=^^-XZeft|tPr3IPx z1@vkOKm1`-&(>UYBB4?D4HASbS)jPg*7#&{k8Iw`!CFLDIN5|CFEFz&Hhdz*12-sF z3Nq1~rTkjCxo5i5c)>O+{BF+?CMgdl_`w3U@DIz++cg_}g4bo2CqKJ+LD(VUyO%yb zVwFGQe_YyIo;0rEM|)9l7AVi?j^{qqM1zguy}9In@5T?Lt@-&ROgtKOO~r02G9#CW zh?iW>+Iz{M|JyT2_dvJduL@{nAn0A>G^Z3_R`LC<(Vb~B?Rgophb-LXBS@=is_MEu zAwMQhX0RZhAh+HDI+V8fgfVGzwM(?ZuJdVi33g1O>Y*3abdPA;srWgFh)gCx9Pc&y zsa;uv%M~;=*DBgh(J_xNzYQfm{*lozp4;%xz;77-ySPP4Z=+OAUvfHB$_R8$cS;Qv z=I5JF*u(1eX=kT$e$^gNspU7x$15E&8$%4^nw)$ofudKX<>eS1gt5&Zl1bdo(WDi8Ik1X;XxfpfkBSwdCN$?f&Z4RjPv^EH*K>qvVUxh61h9h z?~Q@2)xQ4kG6LduBcYFJJYbG+Yx)t+SDD>R!6Hio1CV1GN4tCbwJ=k34++@sP@o>! zAYT2vUUvYVn`nAuoxw}f!oAn}H9d8*+le+qEGIf2XOSgKbKi6)zCNvN*9^JaNd9*9 z4~`w_Y1abS%n1mP4*V1T@bZYg9$|l}6phCIMOB@nG2cR@oEKnbd|)55&@)@7Fji6i z#N~|cn+7_QPDbxPTxZhs!L>{gk``ZH_ zdXPYY8q>kip@_UBVJ(U;2&xEMA6})oT4hsa@6~kenT=HJNLDNVGD~)Ky8qP06=+q| z)yG#sn2L%7b(A~T*jxC7?!qy~k*SRX%Oh(8y}duCYN^I9tg`mJd>Q{Pr17rhqnT2l z%|xW$gW-Q%NNzzo*RQz~Wl%oJ9+1wC5xF4*O`#TQ-brKq- zIJR+!c8o^S@XOCtgo8*3*aJV$@)NTc*~&^St>1Eo^&fS1J*^Huypl9X?_%y7gqCeP z9v`$G4Bxj}ZPtbeos0!{_elE2zzQfcK%riLvg-4WlX?OEg4>VCRLedelZ&7J{h{$yBKYFg z^(w$+&`D-^+-L&l1^dy_GjsD@Y(gAE<83?ML|*so;jSzi+SKao)RybFY;mbtuhoV( zY@gCB7E!Ow;~H04PT)hD3!xeZ?IW;ctu4;Y5{;m#p>KKQdvjt z0>On<`Z^>2F%N56;UiG@kWCaYG=|aP0HlDCxU4uEl2CO^xuH>eVWAqU0Xpv{NP}o| zoBYPixc9pagN{vjPL`NxRV3^E%!ibmJwx*sy;UFsQcn+?t6$0z-!+0lpBU$j(c`YJ zw|0y*wCH2)&5UJE2)Z9hPfqcr<(CseiY*6~VYwc`KqAWyyUQ#tcU|?IP2x_-Q{kC` z`FrzoKS}t*1s#9tj%L+Ris-0(!P10_9QL&@&KLSy|f(3u{C1Kh0@4=uhPuR6P(}Gevi>m>%A6e)*-fkC20d zgGNh&$~10dU3N+5_PqA(w6f9!nzLGpU+sR3X*=+G^AXNSG%7I49x&X)}6jT5c{&C>*Bb&t**I0!7_H;10p{-49A_Y2J01?eh z7LQrlTMFf~Kt%t<~IT&7c-@+DQHZ;tI~E^(~9K>EO!*+^|e0K5Wei3artO z&)TAtt3wltTIxF-Np6~eX^TmzH#6qrt$A~Dk%JKivNC$Gqa^k7aQhsC%<)Gn(X*T8 zq@ghdn+o+|js*nAj*8OCdxr0&1A;9SO$<#1KyZI_Wb;Z6rq3OaE&K-$Fe;`g;6a2& z!`RFY`t99Y5r0lqbAzr7@*52<^R_Naw?}s-ZI7)wrens(`R2=OMvBdBp;N`nt$GYe z73f%nZrHC3?=7O+RPf&9dKW zOUH2#f#*KXsT^Bo9F`LkEp5Kg=mulaYkOSV0}0fw(Gkimwo=>D;-g5sfS?-FtsLyJ zmw?v*s5+|kPON~)LzdpBq$Q@U&6ydxHD$Vjgm~JVwP2oYJ7Zha7(UX4wW4nG%yS#g zG1xGyJzcKB3(0ZL=nm&MAT(EPNqcj8bRXC~=(it6eOe(P*C&}4^ZlX9X7-d!{fa8H zUmL>bDq+k){D`(=C0wVeZC}tWbjuV8()@J_4}1_>IldI>HuSKbb~&vGf^Ddgz;P=p zX;6yXb#RCw22=Ix1}JkFm>-ZOcl`ZxE#uDi%Fbbj?YkOd{ifK(}sxJjcPwNqgC#0Gg|->npim z5T$Hct>YOqm_JHWwgQ}vL>^mY7%{n^0NRW4$P_pT!b%4Ry2nhyprZAx+#Cbg;>DG9 zfF}>K~lq;7mQV#b=$Qa~4BVDp2m#D{Rhn;1Xi=jpfo>3Ke zptD0L+cIOVE2SMTKWF}or(bn#U2A_EhBJ?|Ut{)5g@9UIB*?+xF>s-}^YzY7E1_IN zMLL4g37nztoka^CQS!WRaT;9$=mpRh=T4q-L92#kgD>c6)A$m34b+=}k1C&b`k;{? z?wf(vcwv2iuTh`P#+D6EbCCONz)WtX%~9LWQix*J#`a5AW@>)<85|nOBD)8qEDvTO zEG|El(8&alv%*N9p5U#nFOL~bEP`JkyhP?0Lxt^&?72e#c)F?JDpzI#7QG!7@sdf$ z)mb^GcR8(%om-!i-p3%CRRR%=$2)2Pmvg+6Ek5kCvoNrc2dfw1=%pjZ%_C!xV7Q{t z{;aY6_?a10xj>>*xoMvurK0gf#Zj)>)rrL29kRHUVO#A2@DiyBI*tJ5`?H#MNa8Lu;u(9fLsI2@d2Du=Zz7?$@i;GKTPBYR0Q9P$hNK2deO6YkL z3#xnHV1K7hU6tNS(E_Y$hE3qsf&IqN!s0z`vd8@e%gJC+)<6s6bH6BZsBw6;5oC6H z(z`!e$H;z7{Hcc+h3KwJ=3(+`OI+;vDL zKox$W&Wf|p&1r*4kzj9NSf2q|MMzK0Q0Tvhotchn=J7s=ng72LH${fTq z`=6EbWcWK|zmDXQRPOM56U<-0QY!mBeG`LFgLD3nB!8yQ36|$Hp_XPw;R}`IExnd* z=**T2F6Y~zqTYDv%%|;qbzkz)2QX+T5=J3$+%iL4jtVPfE7#yk_B$@2{;W=u8yb7- zt2;p%0RE8Dm0q$HX+#+*$)dYuF6=zZKXWT2>~2w~+4R`1q9R_v=pJa(=y+j|#W|fh zvKbMdX#DMmy?s&r5h}>FAcXM80GNBwNn)9rpWpXeW}3=N65yOPY?}cxTDRE~&hIRq z!|Y%)D<%Gt7iPb*;cnkW-h}{aTIbh~v@-k|$QhZLtqThaL)zuW_kc3|!q$2mk1dVE z&Lrgq2|)fQJ1yUpj(-Z2qo7OPP06BBrSLG-nU2+D$EwXA*()Qa}?$< zXh5e|4JnLV;62D(m7e4-t?mRIXfFk9kiwNz8w?tBXod>+MXBPh;R#ViHP4M8+-qoC zBHvg@v%ZDZnVf5WWGmCX0gM3)xJD~G8F$w|qiY%FjvlUrCM8pTXTQW$n9N!Nv_`778#}l68_kWcE-#k4Qy5+4tf?>A z3>jh>HuxMbfc%k`j9ZON=CJ8dgAsHnI5dcU))F9xfs&q|45+h>;1O`ifF7I+~1nuP$Sf($W?YQd-$Ii}^_AQUt zEo>u?;GXSw_@iSRiYTe2y-n}#`D<+K$+pp$1$tnotq*4(zcu)hR+1RJVpZ#%;##yvKKl#Gi6>*MaRUn0l557GGHs5?ai5esDKp? z(>l=rIRnskA#vVw_;-^Et;7qd_v^7x~v$=lY-{P(VmXJ7B(* zy#4yYrR>AK3N8{p66s`~9GOncV001Hw`~~~33&+~Tz1F%Knvs5x&vs6yco(gFJxy| zo_d=S;#}vr-w6o0hoGSlN$KXjF|h(=5gM~P&z?%MTXNz8WZr_pwg!}8!jOO)0L!J*NS>fQRIo+p!)P!fv)z9VqDqQ*;9&~u)f%z5>mFog7% zb8%g)!ue(UFz#SrbTpjL2QxSQ{AN4@SO+D5PhWq~isp2&U4jHEK(J&DMA?xsuMqv+ssIvhC?+(cL7AHtSpYP6} zQ)s$o`ZHS^p3HA+u%mX+G%BS2rw^Mc7#dI-MSc^Kf zBbbN^*c}!g<0WVv%FPzxNt1exU92T_b^PNc2V15>^GoiGYmW3_`L`@vH!htW;z=mTP5a*9ZGw@L=AI=c@sc=r~38 zU%|jVgGY|8zlwqPt|`|BlF;;5`kEwfPd4uZp*d7Q9spcBr4MKE0RgyqKsY*E>G3wG zC%^5>Q%FaiuCfdV9I+gi=}#!4diTbm+7Ev?e!n~~Xv2Ik=Wj?#tUH%Ec5vqAJvm7T zSty%qI6L&ZN-i*-t0AK4C#0>BQI1rIB;+vRp0+ayOS-CTn>oi&RQv!3Q5aTmI{W!} zjUm}L6BEOFcP;8cQcTr8Nj3V``!!Nx{rL}5)kpi(h;Da2A+EqJuzz#=c>0nnI*d1ulFdoU^K@QspzLq#! zo^uuaT90%8{^8*WN@9Z(@k(ac^N$Xv)<-+m2HNl^C_~@Ac>xYn)SE*qU@H4BY&Yy`9}HkQzQ zsubyaZ;Zs%*{=2NjoWLvq=1d8w8FwL(Alwj^i1N7Hi)?aSsE*+z+&^f%6f)ZI*$L| z-Me?yD(?q_MvluA50a*rdM8-oI&ThG@9frAv~M2MmO)9*sBsY_PC9bRXiLetLtjoX zrHKrJUd8*-n%B$AE5&xFRDD`(8YO7)ordS38ywZN^B48eIoDYca)c|q@D{;_hJdFN34os(50;D&v3PTYBBVvt)^h69vMxg?|yw1>kyZxZI!laogD&ZHF--k#~$I; zIihM5J>y25{yt})Hl2n%qk?#OMFp$qT_%7cfr!PUtex_DOZBBcVFx; zAgWZ`pD`pNBz&_sTVr!xXT1VjV^|s*8u@Bv$bjRMD}YCprW0RV%bO{e!sIAuVQ^*i z<6_hM(Hryj#bNG}TLxZUJHLu34hE^{=fN}u#ri8`3<*uB#KgoO+_f#Wb$2tP)WRB^ zzQfmJInh2gGd6y6)7Qc6wgHcPMifF58voh;xH6W-lRL0K^Am3K^VD zSXuT5*;3EnNR#os#{%#Q!raj=o7 za$;<(qjl=#(&(7j8c!3JlRrsS(aRonb@j>8ang=p{J~P4E6y-Ne!Ilfy{4-wyvk@W zEbMDC!ltIVUkcS$@WB+uLX9QpD-O^6UqpR%T$btcHA;vyN=qoAfHZ=1NJ&X|OG-+I zv=Wj^gLH?qbc52;AtfRb(%tc!XLrBv>tDMcC7%1fu9-7uX3oha>cpaoB#oX!Idmi* zjCw5cksd_3nQQComurQQ5vPT9&#Xr_6pC5+la2LXNfGrnFc2+{Nh_*|9oF>N0jtC? zY2EQUJ81j#)K1k)8=_Nk^1ol#(lQbUt#Fp}_3YApB-LV7dF6=E$c|l3DNgG*CnqI~OjwwRc)U0HB+tS|JZ~cB1@ICxWfcJY;JkdWN0r&s?XK?WI zkN>qxX!ELVW-{IPm+L4Wv9sgDCaGUjlOQ6iTwk3ljOR(VpkvEp3tazVI6XeOG*(l9 zrilaMZKEw;HlrO-qEJwzSkDv`6l6rI_=wKc$(nOmzgg(z6|Hj}^yc_3VW2=YFjs*) zi|m^l{>gYe(;0C)oh;{31sl3k^#(KF1*9h@B%ptM9qMi!(p(PAmBk?tk|Z3z0f}+3b8ZS# z+xbRmS<%yPvI<|nb=_Xe%*^_=dCpl`40k?>J5KOyMoIxWkCAxqGLhipKM&AUK}=F=Ap{Km6{dZeS^+rpFIAPt z^JE?9)kf}^<(hHSJZ0w=?YTpA0(lJSLsXJ~&9M&|SQBPgF`_s=+VcTQmG-U+{Dc~l zo;$FSid=P%H~;L(`&C?`!^69_lsa#H4y#@}M1L&I%Xxz%T&(&e)UgD*0RAJu7yst0Wp#a0XbH~3oV2%C00@~VIyG=X6$4jQHNiFBY zjY^K#a+b%()V)#F)e-5*$;s#U2Wqh@dj48ina>RV=+@jaCMCnD z9Pm89ma`S^YybRs&!p?Tty{6#U2xyipW=Mh{&X7k>!YuIUIG&DLn4%WYXPP*@;{>1 zLPb48uAfx=(T;-}!tNUrysFSy{Li}RbE5yQeqs+9ef;Q*!#(-WQ&p$?aVz1dic& z3@ZD}--msEpv+?SU%A5%^0tFTUBrHUP4PcNo!0+tD3)1{Gm4&`?yu0Rr|lJ=9)M`y@D&+jHG>QeqHJ){^h6_u;jDynABOKSRi_elGm z=u0LZRzwTIl4+e79VeonBkYL{?<9fcye&r`~!OYm$m}12{RO`MNu_+Gj zGG-kd!afauc~Tt<3(t8O71A5-XlQ}{6%swlnj6(jlZ$bz=A}DzQNPEk?B1OT{RUNaly2@$Mauz6}@c^#3s4-_DtI6s=1R zPm#N9obQd-ql1Wh!|y7p0=CRQ%f=IaDX+d0*EHXZfMNXxLm}eSjc>N&O+P_=ww|lf zQk?v3k7=z}BbK`;Zh{w_A1v2JL?;9Gp7I>(CaSdl!nb5mjqWVb!9IFG_%{&&fZ{U{ zs~}<*d?+Ug{s+d_eft;2M`3iUXlMkzfB(LnvzLKS5p-S*VEi^;@xhOomG9N&@DO;s z&YViR7_=&A!Sn3BAM&j|F@0)k-tUQ=k0z&fNrLk<0Z`MMtKgLCx5SL;)w|r-oZ(rv zXdEgVbi3I2m|jxRWUXZ)92EF#F%OqssWDq_lS-g25kX}>Oy!c|kAC!aG#L3XBB zsb~7xydOI@SL;RbLQl_xk_JH9I(O-_-IsJqa3f`iYJ777=;o1?BH&Em#9P(g& zrJ+7Ml#rBsIalvoM;YYj_77@BC>J0CdjF@VxNxYWVn9kU9F&d=JhV@z;Tbv-qP(=Q z2nNlvR*(~bTT&=Q0gv~EZRH|6o`QQ4wZEG%4GSI15g8B8DKkVG*EKndh?(9zLb!4(v&1OU#~qu>0ZtfInhy&>{0&@0X= zS;y7x<@$iUe?6I+Rfb%>jY(yN^UA}-i1XFIV#!S>ocqO41$a0)^p+JvA?m+ZJ}R}d zaXM-pxj=P7d5*K)Q=I}yB%Pd?DhNVw;=pm+;<>V40Mdt;WP6|QP6j-WOro1gOC5dM zyv{pUxLmeoSVm`GzHBxc4_xxESC^k*BZ+jNeLA(fHdz|EK3Td5Lcmy^@QShjJml98 zz#uHMnq(31xgv+c!-(ylbtVR^|8~>5iV5!3q1>$WEkGAv)+aFX2GjbvKX3?8llM(Bi?$fC_%oY~kBzap zZxGZi-??Na6YIqKT4OhySnYoN6PM;87LW^ZW6qmDXhuIfsXbN`tLzl6Jh(*X@ub>e z88!CAzV^>BMx%xv#|-aGOgUjpbX3&q)e}GKbHO)P1X&NU2VZ+F{{GFeVQgVROaG?j zP}163F1HJD1+<^qJ3)@r9Ak7QG*ISMj=&6D} zAzg!%)a>j^mi-yXSCVtu*U@iS1_jbuGu~MBJ2{I*2Y#nDsO|jLwXoXLp;>SC@xEcH z#mCG9K5xl5A_v#Un5X3aID*ry&a+NV_8Vw|bK9h^Rg|Ob|4vKv8>|H? zJV-N1vMY#+%h$}fqwmr5VeGpe2PWV2^y+kZ&=_|mm9SUq6%EiYU6P;{V$Ne`qG}R& zBTxc^5I+XOQ|l{{r(f(Afeyw7M4s^`FV&wL(~P-IW$@7nITuO1VHB2qt-Hm^ZhI6D&7Ut!&$xaaC1N)!8-Uq6(HneEMy^;oHa!MF;TccOy3 zVk8nSw=ApL6s7g5sgtP0h2t}l+^s&vZ77e&IY zlM9o_qr}I#ZapU9$z+w2mos{06p;PLq!D)~x>wU2iesB~m$v>froM7n0@nBPMKuUa zL)Z3pcs`TetK=~e(_Nocfb8-S!N(Cy(eLAzJUQ_&>sZauuo98)Ntc47vnB zTp;?C=f18{>EFI2aoPIy80Ypn``q~l3MNjEml{w3yfo&9%s2m|P^}1$kTBM!0fUec z5wuxYSo#D135D+eTYl!a1BQf9_*QRX5HSSo00vHC`@suz>~l&vDpJDt-Sm-IGw}?1ME5jo{Zee)6FW-{ zY91Wf@Q2~w4aD%rS^T~D>u@<%^<0^bx!mURg!ASsZe<|@O4$%$J|Y4s7r+Q;lpQAQc{Wr zRmxn+d~TGWz46tGinYxqO-wA?pUp=R>iq3gFZMTU0^X!Ac&TMw1kApk|NWcw#_ede zM9v1nTzW~y4Q3k~5)zWOMiJ4Nva)w-ukKk~y!08p=ykEyrgKZ<+}XbE^M^dxbqxkSiT=W+DAm%nd?w$yqIfkC)|JiyI%=} zJ*BG{^uO?&9h1Fl9zf2%Iar}md_oT9^im!T?o+zskxB!}SvR9glqs zK+vSaV?*MVElI{FtsnE%b0j0S6*50pEV9$2ez~^QZ>wK&bmR(5ZN9Pg)G}~D@GSFH z(Giw~Qbo>w?tLyUHDz@PHeK%o-MW>hM;nIlF0L>h}=W;}^E^c3%m-{eRlg|~^OfD&0=X$O+C{i>yG*YbX zCMruotJw3_8!o!W!ddX1xF-@iw^ztzj`VhxtVk#Yy@CP7 zqDP{G=rkV$QpJgBG&M%`?`np0_#fO6k3gm5q*fC)3&=EBQzh##V%hAb9;y~ANsW(E zXA0|@P3>-MZn9fVFga~b$KLpgIQH4f|9j?b&}y|mE;(>f*qpBF098GujAsGlVKObD zzara6=IpQ<_1%`d*`nGH>5$w`_j2wdQn$A}kmUJ>=8+gKNABL%@UVEkY^8tMb%wSZ zAj7fJ8N~%-;>XHZo7z&jpJieL)e1&<*L0vO_vO{_i@%Q9!Ww5AZdhOY-u%>O z{q^Sui6c>|)Up0sRY3~sv$r{e{{sfScK>5Q-!An9%+x|l?yhV+%Oy?q*Q6Rt%CYfr z2d==_s@OsWv4V@nOA@ABab1I(zQB}%o}s;!HavnM5EG-F+O6fX8Hg<_YtMhr$=M{x z%W(Vs``f``=u(QU{Ea(q{;qcO=+oJ`*@ny6i0Rzb;WuT4Fv4{u0u>r!;0?)E{vY1_ zl=wf)R)Jt`lEGRW$-if0Wx3|~=!x-)!ZUq+ z{aUwOYS7Ok1sr^E%fZpn_!AX!7 zc5-$`@UJ8Q9zfKmY&`{pq zUU`e$z@0Uiu2h&x4J}rvD~9Twt<)6W?g;YiEp!C&yg6b@6>z@^cD$aKXM{i_u(7cr z1p5%ZH&954Wr>3MZPY&hRn>cxp@n8U(7^QKQC@qK%>c!f03|3ZF#s{mzg{kVz zSz+f1Rtha(=n@7`?0GMg8dF#M#e=Y-;`%wy80WH z6cwVX#Q3G^`tt^50Yia%1;uV@b2G^8LHASn%pP8yI5qo|CkcQ309Nf$)qGpuJ!$hf z!8_4cu5s+sJ|JVG)<`T=j*8AmG~ccgmzn#?!OJVXM2fuMK|Z3qT)$G|NOyJ@$^j51 zrg*IWxfSH7Ijy1Ke+x7Kh%PRGoN0ovj}W6qNf@u=ayo$FLLpRTKhVz8t#`T&4_f(9 zmCb$61Z+!XdRvr5^npZ$#74_-kA#Gco(Z|PHnQ&Mpy9c^JfUvi!-o&Cx>czE6N^!5 z1}m!9>ub!jwGMY9w}qZ*t`dLs4E2kMz`-D3^z9vgoM9i@GF0IuySldaXO+ZT$oph_ z{(5I;i{_;HNYq4};AQhSB%~)*Pn2q(8~so(lelcT3UW!AY5O`x+hPAq?3w-R6;UJ+ z#nxNUX!e{p+WeiS;}KiV{1*O=bgzB6{f}zfPubQM*6(ik9LKwdPq6B-GJqi0@9p;f=$(sN z?n@)qV{KR@%Nd@`1tDSHS^I6RZGKLw7-b0AL*qR6+Ietvx=*i?p3oI6OAUCpC^7u z`*m?GK!wNg0$lX;?>~7$k~yZDkVq^Jfq$sc`4*4MCMu0_v~^_k$LwtJWMOBNn(L-_ z=8@Yp8;)$yxQFiaesygb&?1grS(_?~_OwlWjKII{Bc-+Z2y{vN4Y z+;Q{76}_?j@dF+%w!C~oBB97`RE}be_uVHJBX^vyCP^$UEin?`7EWA#FIwSodHslT zw#m=6`6ozKzXJ>)6Z1uUG!AF=_ZV?bUkoymK%*<>^;{$4-x;gcd3x1ai-;{N>a#7V zM@R(RUg!F`X}Mor@bWpYp#Ug^2GBjw76opj7j(POKXKc%!?^JaaR1Q3mO`g^a06H0YzShnUG^41tk`(SDk(F%=$*4caH zTR8b1+88x^z2aXVdLtu|tde9oFL}%GPo%87vW>YXq;H+x8WiZsblIK|WJ+lw5GwVm zw9)zErWE!`hzLiI+=O!eIGi=EUpwSYjY&)O;lUxB(*_{GMT0q|LXHtjH)V&mW1-e#6)LhYo79EvxJw}oP%)9 zDLIeB{Z2X3aC|Sx-$#ctq!DxG7F4wZiC9Sax|tlxDn7Q`JB)vpSSy=(6NQn;ryNo4 z#o3AfSShofA!5?S^HDgtH+SyTw-@^T;5c5z=TX1r6N*#?0d~_rswmC4{d+visQqm2 z5s#-`V=uKeVrGOM;gcOYdPnP&`bC%>i3Yb6?a$az|2ljmT^AsWY_U!+{0X;*1q9_x z8Filb0?)SNMU=kw3V$hNaMX3@@Wh>B@|7MTYUn41%UUB*gWa88N9j8CBANWD%*?`g zG1H$Y;)Wge3et5h-<0!prj*A=dnW)VmfM~V8Wx7c7A>AE1=W#p((#fyZ-oBVaf-<< zxgIJ{;4^ox_S*hg9~e;isCC8pXuB_ju%`9hU(BJ5P{+7UWff(`=0AhSk613RJ2xb( z7Iy#Kco@DB>U(Tg3C5-Ac)0^wI9(+y4#gcAf;#0cr@HUFa0aSvGTJ5B9opp%HaKZ# zd~5gUoKV_c3q4>+tUh$xLxO4az|xv{IY$8;j6#{a`3{~iu4UL|kzC}ewMuuh?9R1S>jxFO7!AllpWn~opHbA!b zIXDn+h7)kb+sH^8YpM=-E#iDmu2Ejbef~@+pw;;+L8IHz%@Rkw z$~o%w=>V$)0Z$IlYFMiMB%Wfe|Jbe5fDHU1F!+Ts^-zvLkog=Acd#dNF!~4pu zf2t#}3rjqWg&A*kJASjafPvw}{P5X{N6Rz!bA!hx5pbcNyt)&| z8jsUxJDiCch)Wd#gXJO`8fSIPJUk@)E*q@?#PJCaIX|33*9kgz$hPy%DMrF)f^P2a z(*6i#oh$MG5IlA4bfZV8;kgph(9m*=4$Nm7|Jqy%uk0GY;0W2AtHv!T zpoUN&IJ$dzdBJYKN{c8q*PITWhDS0`3&#rsGwDK}$;x7~53}#=?{*x9PVTPNvGsjz z-aH?!R?$%{*xi?<*!N#v{h7y)bpMYrx~*OVU0v}ziQ8j#$_C2Sl{G4d936vQtbK-! zcZlc|D{Zmsx-Q2jHDEJhq^w7|&Fx|CLyOUJuENO@98O10aY^ytQ#81`JnlE}7x1H8 zh+pUdP04;@zAc&9On>CH85$k*LdJhLOg?P5R)Xfok0}wj6I3^af3KYup<~~UJ-`qB zrpe>=fQ;M5_n8F7(uwZ-E0iR%i~P{w=Tq>39-()?x$M0QkAG;WA2N2@IA*!!E|X|V zv)_YhSC?m-9^s1lJI7&f>>5Flto+h{!?K~KSPX!o8LKv?)=8tc-(rx9w12ytT>p+n zXmwe6Wl&r$k^jw0`_qft?*cFSJ%D{#5(VmnP15Mq*AEDfJ^mW{Z;P~fhL8S}@aKY@+lknD+{UxpG(Daumm8(nLx zGgmtr!Y~c^BB#|2EUSC`P{y>be3wlYsK>qXp0Cu?ZF-GyY}Jq(a((cttX%0cSm`I9 zah1bkQ~xZ^-mial8TyTXavS|-XYW*e^lY5LY^|r*-t}e!U%FHpCB1egy^z<*yFPQ4 ztmnI#Q??n0{3Y9+gx9|yB>C3^sx<1%{L9A8PBd1tIYyMFCuOt{7Qo~6CoKDF;E?~s zeCc6W!ij5j*Bj4kb|ev~zAvx0B8?UUpUsOH44L)nYJAo$!{EQ3VkiiW4DD*u3j$L6 zc|h`0cmPT-w6tc>dl`Cq&~IP)-XT&~wxOD939sr~MqeZ2vI(cNno~+QG!pd+t)^i2 z>{qqcZqOVupN|O7S7~9_=6C9Gv5nmFxxNtsr4ZVsAihuJCp18fqM!acY8X!Wzj}Rb zo|DZY#6ooLYSWp}W1AS!!>f=hY&svgf2$bixj?{y|Yu~Ca_&M zKG|8wSN(fD6Oy>cDl03irT`_<72bcbER%^jsT{pqG@S_PfN~ZyZi3Wjhz_pUpmVd~ z%s?kInekPwE!p00G6Z7be0%1d$ljNS*w=Sh z&^?fSOIY-NRnIby{t~CTOT(mHgYI$W!SiLkEZe&;iFtKx1XUu0@Z;YfD$8~4rs=YQ zHLolz4M#TKqkB@(ch9;m?qUB^OMUDmd~Ewbjd<^Gma0f9*t33GM{gs_m4`t<;f5C` zyWR$vG>`h<`T0E{s*{fzV@>A0!K}@1mK4C+^mku9^SCu^{waLtm%SS~=$_Z=A2zqn zmN*m90=+KpglxXL*#nzPeIoq^%?zW*;hn%~)!RNgIKX~wIB6z*DQrcQ@u?4qfLWbG zYTajZWRNP*0tOh{dYMVl7B3Z>j;`5EkCgipc;u8_7kk|U(EczO&mmu4zP8xrh88E? zy`ik*UvgbkT=ql<2Z!ZOTLb}V_lDCfU^F8*G&DK})^Y8RHni&ecfHx3Jo%a-7Nl5Z zsn)X&dLxL*!3YZehsXc0d#8E>`&7`){c7W{JUthNA6Efqd=_|G!oC*39%iw=bzx zS}s02O^uN7IHb3Co{vwuuH@$E%S(meXUC&z192S(f*!3a`pej!LE`oQ)?v z?82dW>r1w&raMGGuQforN@JE&;NOx-g$D{$LF~B zf-Je#WqKd9QN6x8z)xJ(D0euNd)q!jc5o~%dRlzEE;qCF;|tlYeR))c8mUgdZkcxO zaro#;u{i0cy(kA62aefmExMVP=J!uVZ}nVTt*?Run_;yVdBdT9NeLweF>?eMucn9D zoLZlE%MP!58y*uu{C?gWo>V>XgoL%&uj5hrz%|+9i;Li^CqIAwQANRSP5OTMhem`IX)W5(pz!y=ML9-^33lUDjoseyZhH7PWC+#9sdD(W~_GYnjfIL#U%}`O0uw@FHg{3eQ@cZoD)Lp4J zo2iL*G*66B%8)^Dr=mi0{!YH?Ygqxw)MX7Z(JUskO zW&X8=<*TLDgbKxjdIKIhtX6U!&qle$qJjdWo$emD*T=ad1F@?LVEuvCvq*q+aB#q8 z)c#I4lHcRNqPC#{8A&FN={*`Y*?lG^EL2Q0D&336c<;p%xYk#y|G@Hx)XKoTFfwBC z4brpy-XCcc6qH{xHFiT26M-oy6iH8B`NIfAZ=;tT?9wa`rm-?SwH!ld)~OZ;o=3e@ zKOE-m7J%3t8XuPcT6eg?)edUsTiS_@IKXuL-dX5C@Q_d#2Z4zPEiJ8xfY2!SY6 z5ktB1_ng)zu+PpCeID-q9eo7(A0KH4n9eqvQiGOG=)KY|A-Y(gztvYI05gjNse+*} zl|v246`l?J$k_g#wzeBU#Ra6MT9@`9Av%zvNOIH8{Ttq&p&$phNF*c}(B^U9qdnT5 zk6al{qk%7m*;IPXvirbkVF3m?*qXZs#FT@9a2-B5c^J&KEc_@p-r3(5las>&#}`8z z8!&9V1#V6q6BFE0#&6u+7XUN^J%Fa)=;jB%Dm5P;S?lo}M+h-%1XN5}P-P(umFnv1 zX1m}8lcZPyBJVSRJ#VZs2jgu#5FwgE0KF1*r3n3W0uPY0MvG%_vANVg9dSeTgDerel-Ott_CEY^SMl{mfv zgvcFa#?Q@Nh@LAfWekSnACHtT8k^{E^{PL1wTxHIrtU zi1OA<4J)7PR#>r44Z=bNJZ^};D9FgPL#e%caq9S4uYm{*Vme^$(a^*sX2~8ZSQKy# zkQN=ym0wt04F;p0=WC0LiwIyd+vt9`RKE!^b(zySU15p|p5%Ds_D2W^oysbCrS-3AD=^G?wwiW zn>S%-&bK27*BHzIHDRq%SGQswRLhB&H1Dg3=ug*0kg(sx!NIBZxrUYJt#FvqmpQx* z8)FbE?BQGWr|=WQO1U`vW+q80wwqvr2aK?UYRrx^D~yRMqzbgbJTjZlmFER4LMA-5 zOYLtHVl`;~3b*Ao7-h@Nz$k+3RwT^J8X|skAum4YQJ7wZ!SVG<;B#j5_xGF;N)SFH^ihLPkoxtb>JgpOFJY^h%UotzI=^kc(R2W~o7=9~eo^ z*6pU<*TnKwJ=IVtc{bn^UVwi3%F96T_)ZLSF|(1$OWH}2dXIXj=-SqaOHmiih(Bob z${bm#g4GV*hetA(Ri&bcZpPuaZ{MWHNk1iEAoBkX?@3nrKyUqLL(Gv40wz_IK*`SF z(<4DK2~`uGo0pe{TJ_d(mrTXI-JV!_f?lGAnvyz_O&(WI=G=eCq}aJY8Zfdl$1NqM z^tX4s^I>Jgj%R>e_&&p-lkpjjHV^P+nz3mw9DubK~ZGa#xXe9F5bDBi}$ zYXok}$;q*qbmM_vAe|Ix1A!?#dU&mcaw}EFT{r@6J4lnI22vlXCI0XYz%Cr@i~ogl ziqQ+S5yAl#?o{mD&>di{5G(Muv$cK@AAv5{SXi&Jp5lO+P7IDGW_0xQ=+Jm*hhtn0 z^RhXYL;H|(R%h!f(u9B)Zuh-`9K(@Dg~(Fi@?|>10+y=l6U7~yGc|~_ z3{BJfeMgTJQr}fpR;uE?a)EhUga;?syBWf+msYjBv~(MMk1|*kP3$^8K9+(nE;sEX z0@EP2$@QnUvpfZcjeke;%t`VSQ!6GYyU)AwI7+uKP7($}*ZG-Ei%VNtgdv08^zpg2 z?!tzB)F2#+GRKt{0i};jBmSF!iOJDEv=kNNG{51VcuIbuRalbY)u9`C?~03h#@9V8!#s=xuh|f0tdXNSJ&GhaWH;jFORuk&dU|U-D^jH;Z+`4g)&t;UU z$j{?r?TYJeYOfC(lG|0(?JelNIepz!;3t3r(oE#5(F&y)^zv6vpYfr>#iFuZG`CnZsG9t49l4j*6A{Yh1M9~I|t z{2+5XRmh7`O{2vd7VR)wkMGBVB*IHrf{zMQh1QtGNcQdCIA%=Pw-Er!y~cL#nW`!Q zM1#P)k6!$O5ReZnLhj<#iC=mqvM}P9%r*GfF6bAjGb0AJfTH(@;XXui2B7i_%+aH` zp&@E9SI@OI--1g)L6I1-xU>{&%9a`%OGw6LNy}pZ7o)(C3M>zyVTX)O_Cy4X8+Q-a zHD;UM5JL$08qX?hP=iCk_bxx59^AZMl$n9SYv)jg*bPtILSCP%Mnjxp?J8K5Q!i%Z z8brk;La(kuMS|%LfDKu2`slU4&_gTq7r2>uogdxikS~U0060XsO)X^S_cu(i6IHn* zXKZE`=(0JT0n-T3-)o0noIT_s&$EO5%Scdy2Y1$C08IpsjRLdwRU`TYGPFDk*@Wp0^2qv?>AKdyOBqW5mTY$ppoX^hAR!4F$VQdf=mPjqE ztY{b+G2q$oIIj_;3gB-#L9^q>B1aKb$xxt&T{n>ci z)z#JW{OIyl5p+z%0PXy@R`)eg5@fI|G8~Ld+&imN9tXlD~h*Jk8+b zh4iiTja>gz(W#*!%`J8Z4`F=#owGwL(J7#~VX3e%l?Ze+hRcnm1l}BBwI2WaiLf68 z{TetP`LsWPzg&RzoYxKx&vbRke>QuCg5xA&wv*I0`h5BOy@QRZyWmOoqs6D?S=t~_ zA+*=Ru)zq^y9#*0D)mmUoK}Z!AUNG$ZExvr+yi%OL?-On=n%_IMF-Aoe{p zc=ZUF566jKt0Mb8i3h}D<(WG$foBXyNm=JEKQAvrw1q^_n^QlZOwFbx=p}87u&a;+aGEWrv^()4I2-hb}(4Tf>7RjeyUqDOwf&8YWA#65DbpML#ppfvJtV{P;PORqe+#G9}L zB&{VThKxuq09{Zw5g@QYCGX{It^JQicTVL$-I_1zy6kQMn-1;5!EaqX@i_YGw@I@T z5%BPUo%7f10P0FaS|7J&|4=ucPt^tHzQ!Ps+zc^+feu#}=W3HrABdiO%TdRv*&mUM z7gYX=680;dgjk!K!J-2=Q8vClgaw%!HODfMi8=2b zwjjy+JNzBVfw>L=_dS&B^Z9GqHaCbPJl+>PajXUr5UXzce~00i;byNlpS7!Glo6Xi zV1~%rA@UAhK-=gjtZ?r-*hDf%BHWQ7$|stATbplbF>G!<-el`&ZwD{{{*(wo1{fcu zf+O|}4ox|%9w5{`Mjk$SqRNQ(3MO8DG`N zoBo^R6y)Tufh{U%O`-bo$eVIADrFw`-YQ`wnZDKvd5Z2I^Yggts>79A{4#!uI7m3HulZ4I)$P&q@;| zOuZU~z8ux2v~5TjoGzJ&9imlv^PK2Ob<=AjsKa)V5w7ISlvpT&b#vFtFWE8wB zOVJ?l)1FA12R>|1pKAQ|6c7{~{;b8>LsSI?AQa=b$SEi|vD4wGA~yLzq~lH_2r3}G zhB^sx&0)qh$_11KqTUyZzD1L{-CbE;-Ud;t(&j06G;ho`5aUt_q3j6qkAOQa8*~~H zBaF?>Z)s>uTF(^g)+ys*nSibfK#*Rits;%mPGFDevPY=hr7YMv&-NEMNQ`&sRduk__*yp39bwMiG7as)k7o z4I*n|Nh!?F{5siP+}S-%{mTQC!7Uu})^yRgD4Qdz|EU zmK3VxN4{&6X(7$c`|HMhtR>rxng)=u5ye+;I2l)zHF0XJT9Nt!JS21sjNU`-DC_^R z2JQo2dQ7udGTEZaVvAn;=Rd~xdy1zz9=2N}?)F0`eAJVGd zUaCzzrTM#Z#KmN;6PUAYt}aq#p!yHvISQ>Pa1rxOFY#VnR^F8R{%-qyvxL-wPk2&+ z#~ClEocBxa(QPm(vDcSN*mF0tT;JfSA_M2gT9c^yJj@w<7#ubgZ^*dB9g5% z8|99mjxylL3T(yUu`%%mm(4N&I?{76Ee(d(w6`&K_x9TR;#o5?GW-DgFf5S+{X{cL z2KUGahNGi=1%91Zr&gf-;pOM=BiL{_J9s7P4yRx!n*F)1l+>;0hw_MWgVq_aV!yM< zPXIC~OF&hdC1EqsKro9&*+yywB8`CZL;O*4rE-=eHjs_d990kL=pF$1)bUv}gbi{V zEJLO>Y3S(OgRi-(s{ltU4g&+0awuS37qO{wa(dcBm>=gYy9%odKsywy??D##cL3*6 zrR?YUi4hCnL63cpyY*l9(tLxK=Kg)4%qW+?pVt`&!8|soC;7qR@JeXaE!E=_)q}$n z1FBJXd#{ymXO#Rda*7}})nZCE-`a`=?phK`cAaT);Zll=(9|*;96xq|UOs270 zm)<G@foK=;5QJ+peJUAH6fAzROp#|ew=%^#9_?D3c zt*4LoUbp@dvo?!bp|*;m_u}DAhz}*~`Yi{lhp+H1D@JZb7OdTJ1_X}4#=xi0IWI3S zCvcdC$W3Je6{ZOMoah{I8MIo3Fl1M4H;;p4@w1T^mH}fo6ZT*mNDQ7itc63;6FuEs z>`Jt?Nz{jJno66yckWR4q@sEb;!I=(dA3c#HlZ(U`xwd@7|iPyk3#i{x&)O(_jrpI zr_spfZ<8Pzpx9!K@o1U8+2&`$}Y%}mH{(CT1ilP&8Q{;4S2|=*} z1TumjZ}Fonqkj>gt2F8((=X$zz&lkWYp7e>*z7L#5kuW`Yo^);5iw2IYCw~!KZ#3L zd17qrD`<&0l85DmRcS0Ostf}e?gio z9!{}v@!QQm_tAV1w=bLCZ((^mI<~J;Z%t>rhNDI;_oA`6g5IE9z-iQ)^_-axtyI9E zhYRXTR&j|dEGBTF4brQ(iAKy>c@x95MccQ^c5AH71|BgT9jU_N0<9aG@r2E+_0F4_ zx?R8?wibS?d~GqPK3ivxdgU#oY@oXwfI(RFOhLgw8S+~|e5%49vc>UG^WYGy_?YqW zaiyQlA+wIs&x5UK6QR2^{Q<*=L90LP`KT^tP)sp1P>Mey-bb}Unkw!2h zFvvv2$^6GL3YbwNEK-kg52JbWPRII(MtRW3_aFN& z|2aQ|84uFfjNI(n;)T!90!f6-WOBXMxU4aR=hH+{8fr?Vp2quew9E^8SqoojH7O$Y z3p*|~+J>HX&#-;~bqJ**eX-g4tNqLMHbI@7idxg9q10l3hi{BrhSo0`k9A=SBtR|H z$ISKg&Jk(VT5sG`mU5N0zk_G;hA@V5z>B$a!_lNP(RU5iC9&=^iz$COc<+4ll!+rS z^S<7Bu+5p=2^^qJK^`O_xT1X*d^eFKLWyDv-<%&YBZ834Odxa{GPSELEv71Rlm|Kn zUR+UaYH4bsSKLHHK}k3JzG2`9?#z`o`%9s(CsB2DW#oc&w+@so)d-VefyoYX$H2ksh^CCBPhHx!t*U z;#sF>Xj`D^Jrrm8nJ3XGi#L4Zs^fkgoz%L~()CnxZNOZJ{qJAW1!sTc&a5mf(R-(C zBr-Az{9sP!_S!%iPugZ9EEX(mlyh>VyscPTIgE|nM=}>Z{n~bS$Bk)bLY-Am|Mw3e zBN2U=_`*mehI6ary|?p|+3A%E?3nqZ9KxtX;4_I3)9KPl--W+Fw_CoZZmyg1nf2FL zeAeOCP@HTGH%`5^cqtH%@4vVEmVb9+*DLX?dB-h`=DZqnt)8!^x=GvPkPHKPWFU=? z$?+kNFqKgtUEj!_&&T9=k0VknW@a1d)A`3MuYd1sS)Zry)#JtwrYM4pllLob?)Kt( zVegClFU(Il9ifXp%fet9(-vnM8kA5%ZS*y}y zKqN600)!d_2!r{Sc4IQd0YpYAwNq7%NoP_ho5$sCs($W$x*hwE&T#M*dQM-QdH2X=9J^5 zA|_5Vq7tK7Abx8%-}v3--t_cgz)UWziDUb1BXinpFD|_;NAA2`y`+|N(cD~NG4}ZZ zVx%WVMMZ*y(-6y3|J-b9aIgzE>nxmTmY9xNHdD-13iUG+y#9}tFcsu^MiM;Qb(EzL zzq~qLz#w!BlT+`BhspHBRQN z*qPgyeZkC!q0)u(%u+@s?lLory4+~VQ&g{VfvbEbhlG+9uWVA)*2>rB;XvE|J%OW%DGAnG~Ivwgx=S636V($PQ- zLKJ9sGQ_+;2zDp}4GXur`)BnHO_9W8A-jDGS?D{GQkrBP9(@qV1A8bwfr{?wFW zvlZOium3}z%86RCW^McBj{sNPK!Q>HgeTT_0E7hGpg~Kwu1kBh`t2qA)?9sL?7qhD zL(GL+HJ3rhcfX)E-+Hc=uX;nDwUO3Y){NP&I)WQk6R+@&M}ri2Dpt^4tY<;k^n-3E8Cg;i+Y=6vywrA9ni*%?Ajhsj>D~o{_Tiaw+`vc} zrlip6fSd)J8E(f%6cO9P5gl(L?mxIXXC3*DnM89D`qGDxz7%l)VZpGY!Y3|MYCSdh z`WjZzGYo!>P27Gfh5fAN=bU1?;tlEZ;2m@rM#K7~VJE7)F^Fpgn+@zfhn}$gkbfYA zFlOitDXk%%<|;}4yUD;%@H{y3|2TUOaIV|;eVkM(N<(PT(ohm1%1B9}VJ4eoWMyZQ zO3Ml*nTc$&Hz9y@_ z$7{4YKBcNg#PB5PR8soqFNCDrqzV?y_x$2@wcYbspqpv2ib;3VDq3dFwYRq7sg?!l28&f|+_Mm?q{%aPuRIes~H@L31COd7B#ntVV8*?7@8;#d{ zy{9&Hs+(B1TP>v6ZtA+BwSV%JlG625+Z`5`y>wq@G;2TjGoAje`?k-(uPRjcp%{~} zrO-g_vgD|c0QxQ<C9W1rjvm^wrGo&xcGOQ z>Q(cm_J7%0r(Lj|`J+|&whEsE{cVR_u3eJB?8hE2S;)u8-38DMDG{qBnn`8LOVh#+ z+zKrEWl;KVBM3DNf4)M@^Lu3Zgt;De>nXn3Qx3tyUZT2iK z`uhy_TwQa$isK)ZI-8c-ds3Xk`7K5~1sa&+-&rtHJ3-L;)Hhg4FJKVjfl2TaI$ znsSDLb&*=9o57t^r>TLqETo5b6IIT7Z~Kql2)O>;IyYLqEu&QOHeb4QdE*k#iVz`t zmk|T?LXOo2^@;0cPspkW*(u8O^$k(aSA0`n$#6`G39PhDH;3%{$2M~a=IefX_b%CM z9g{&z?xq3msC(3Rm@f|GgFTRYc;fi&3IQgj?Ys8~sj=--t9BIJz4@`J^_@EZ^W$e7 z)zlS<8Yg0hA7-$MU%a%iRAPSCenlO-s^|L3lVNiGGRJvNh{%c3uUMpt7^b_-e)*_U z&c?KX?{br^Wc;je1PIhKwsyVxm{}F{PNSE>pQ_>$4SiARuCn7F8%2`SV$d}yFSauo zA7v(+uH=c|!t(U|?M@QC>^3>|lDviJ9hyrgY(M5Clskm+RYw#Sd#oephbVR^_S z+4|0SR>hZ1l|e`62OjX5&}HRl!y{zdXIoM0*Bki8+N4_k@)-21?gFXT`&4x#-Pa6d z$)7uziYl^?f*}VA5Y_UX+pLuLg&}IwnsseuYhF@dZfZJZB5X~0Y*#>0^>m+Sa@(A> zX6tyC|I`i;y;KD3XjxXYOAc_S%~&!$izCQtjQkPcTo+~T^nBa|V!^(8t*4@U1BIQK zDMn`}bax8bGogXv;+*TrA}q1W7ne;@Rn?W@ZdAA8+H~3GeHbG5(Q6Mu17zyC4k{mg z+kW6{QPEk=32_z*-x~I9HPc7rqNF@ZDJjqa6X8cs2oP9xr=Al4-u#cP2Z6v!T`5>1 z79s1d#lT|}P5ZC8Hs;X=hu9U<)33BIgEB<8U;1xzp_qIP6pq3fD!CiAQPNPFyZ2bZ zoP{(ewz7R(>Za3^d9MRrqimTXfax_R!+GT@q>dS^3WUwk`G2ahb>Yy5{G_SOo0sSwrBeiK_ablPSLi9 zwRNCT*$|xf!1x$d%4aiOy_>Yq33A%h-FQ@ERQ)#ovtga+_|NaLexVCssi0@Euf99@ zl;t`R5fPVcm@}=ZK!lT7L}B>6yWYhu-60j+3?PTkg9Rth8Zk@r^zEQ?0Ms_ApcSB30nyt>Dh_B%Ra?kW0}7c?|N z!{gq(*_W9QY$eI8S3-mZq$|Q00H{*Qb$u;Gz9U9>_$|$`$whhX9(;3ge}x&%pqpXC zJIcxz?8UHV9Rs*(D7 zZ6GsNsZRitG$Z3qaP|Dvzioo{%J9=1q1l;ZOaHW1gBASV_kM~%+oqM!#rG}>eBx7Km_Rw+jLjAy;{>Km( zvKekbdPFjS7CN;v_X?D5?g+o3n0<7K`Q$Ffk=zf<+j(RsH&=ZA@PU@*nqg_d-6kBPal62#Iw4rR4bi5Kzq18iaX=&?)nIsi0k|lf15*<9y@Xup`Ab0J4zBmdn z-OT-&mzOhO)drc3MqY9nw|5GVoMnVuj8q?YP%0ANww)u!wV#Q1yN2^OE{dR#FJn zcSIb!rrPdqI$LPeIt1QttD*|*oGhYIt5)x>>^rWfryr^}b|dQgcV?7&48Q&JEEse+ zf}Z!PxLtBHvs4#ao>}lyQ@8oCd=HA>xebF)^NZ&Qgvb$`CpzPo_{iglYeMj`C(jS9 zo{!loed=E5`%n0pJp+!JOTTPA=J5c&h8Wd;P-NmUy*5lOvk~17J}b++S_+KNAh;c* zTRL}L?>J~IXAxfyz&T4xmic*1-Th}tk1uKI>**IA+|OEOp1pWfS9kzSzVpkP-Cvv< z_-5v3-%m8|yYIC2yqw&A5UHf%L=VfwC{ck6 zq%B{>LT*187Ml7x9xe}_gxZ&|;pNm`n@fGqZuX6J=JaVju9K{sZlsleUUEqt`|Zc7 zajP8OF!i9fZw~-xb49a2Vt~+7a8sh8&v8Mk%Krp)aB#3oc9K?EQA5LZDb!{`k9kfu zr@yWCsz-Ya4$h+e1~bLLi8;~m_HP<)NIEBFWnm%rQ-zy{=WCSoK9yW+X_*XgmTF_< zC4X>!qvrY!Qv>u*Wrljzh8otz`R|r&!j3$y_hq;L2__I2>1Y^^dierW-?)7{+s6-6 zIj1asZai=$@Q`dXn6YasaGV%?Yp6Y61q8gY=>OK}F<<;_--Yl28JX~Q4)TsRhNj;c zQ7bgRd<_Zhp^ssT;3dGX@a(Xq0TgJUk3R*jEI#n#lm9)S;Guvux!hlWL~NcKi#D7c z;|x-$zoVwto-YW@{n%l|Zq*;`4WP2bd-E?x|0DICy#fySm!j7Xiptn!;?^jo-H!M@ z>&K?LE<(c3J4gM2#8#=-GOHr0uPTzuyEw*8-nDUt^fV7muVY|yxwaulUU2<`cWhcT zv0UkFLH8a%-UcA>3HVDfw*2&BM;ZF8kCaD6t@%*4{Aoct>SB_8$`I$*#BitOrH0g7 zJ{t4IP|LwOaSK{+-h-Uk=o5;VtfHXjP}>Q-{<(gD^r$MDhi3N7{Z!+G|DG>zqy*yR z2lV@r1s{SX(E*}>cQP6>t7(}+M`zu3^2=--O#w-cm~*0Rs7xP0i5$M-DObQ7oow0+ zgaCh!(>Fe>!G$N1yx0vmjs2Qj{?JwNb@K@6P<~`5e0mG+ha8v&xTH&+ruzls7YjexX6d2?GK&38`irheA%@ z*?=CmPrrSQnUz)5SQGe7>liuIK7d3`NdeaC&-z3bY*-GR&UMvzi3$n`Cn^jIR3u*Nvdj0cj@v9i^&nG`DD>c1Rs2D!& z^n6!c$Tgj3+M64y0(d^=>cgLY;V@xB8$?1o4ms*MFlNVk%6$yW(7rrdpP(9%d@(vU zRtuhv$2p%>J<`|JJ-F4^&&zA~^a5~!1hqW2v|cShQTs3M=YS7m7-o>bDZL`q9Yktd z^z&bWi?-NP(Y8O9m>)|#52=1idPCp^gGTmDTNpkN7QY&#-x-CcrSX6}>!UgU+n-K7 z-~KUnsCGjg`fWj{X{aU-UI}~zDu6bBGS@0~{N2@I1LwpvL$d#5`+15DiC*H>dF6kTXD5L@vOFPp+*U&Idj_ju|u?id_ zsz6p!@>YYN;)cB@PP`0`3OK$C(36lewp77~;GER8%$+?|59^h!!fE^|9h8Uu)a6{V2KOpJBVyezD& zqyY&n^Ueq}Jo;VG8!c*TQrdWCq8RO0u2$Y_2!~i%hFWb#H*Yn(HOzYPL~OXY>Mk4$ zC06wuK7D2cfOwQ*$^kHy_N{sO*xkLP)P09EnsoM{Jj6>8uOke|(mPVrzJKc$+aN?HM+M1{{wsh^7#?tT3pHdse|a zSuMQ0W)8=oxV(HVuz(V90#+K4ZKRUr0%)rfoi&$c#KbjV>PN(>I$BN-tCB~HM0e}T z^%ypyi9A=YC6kkY6qArS7sGBSyfi62U5vnUmH;U3<>c787G9*Jq$C_@!a>aB{kD#d zuKJxLzW-fns;@7IF$9@As-C|S2gM~F={OUwAroP}MBOnrul#ORNAV?I`6StwQrHaw z{vqb{X;Z>I-@8w6^km>9qC=wzLYK?XBLK*cz*o`2v3c}#-v96^e*SG>Ly3Ur+Uv+3 z(IUI$$jq)%^p#f4U-v{PVoQGcXZ=G`m3eC8l^LgpTV*GGlY2)-IA$XB(0U~OE%~dG zo!8X-A2oa!VPW3>m#;xg@a9d6l*aRcqIz}-g~az8Gg zS;@O|+Sk`W;pl_x=j`U3dpBwKeas(vDb%T37vLQs(cMsDcl-p$OKstd!~2q)`VNRI zBEbZQ{b|wpl(s9!gr8i!R9dGs&D#5C5V{JFF-Q(+~XilYtB=EqG9sBS2I(J2B8Q|xDT<1V$6$sdvT@I-V1q8gBPfLx<4hnXxm;4XMJS_)T3c%c zAxOccUIG{`q6wj$P!u5!8l9Z{JZevvRO3D6M>7uB1OE@aD)xGF|HuW9XS0&Iaj-YD z2s`@v-n(~CI#o|PYdFLW;+{1t;;@tNhlcJhH$ODGIEU`081Oe_&f)2`F!$p_9DXw1 zTd8a9=Cr)Xh}*z#ofI4Xe4sX(3Q-+BsXe=QQ$VY*G1UMZU?R1^B`7gqHPXhu6_+mY zItLaKJ+F+b7jzkT-=4dE{kp4S0b=-F$dJyds-9Z*JvwcwgpxH%>a|P9tC(x?+es$U zn9a*kC&aETBs4KTSM{_kRbaepuBvh}&uVBpbVA{!Ct>h|UKui{&cVSWAG@w+nQ4O| zE16vOqi3>P0qrdQnVA`inWdMXe>TbO*ZKIz-;FRM@D*nN=6tiqajvCpuwfe&4BQpa z(G+n4Bfy{OFBf%lx=s)6UsFouEVA#wl6RrC=qzMYMx#CDTT)@vS*AtQCb$kNcyV>F zV?2iLu+>EuBiM~R0vTlwMllutvLZ4j$nG$u;|T;LU3iR9Dp_1mu25k&;fyML6M_+J zaBw@-5LRVuy4|T8WLyHu%w*q!rwu?xV&f2gOh8~KUdtsiG7{QsXuR+egbE!7N>Ues zs?4@h(Y??1*SyZi0PhFWPM}Xu?}X> zgtWBz(Nr-)u?bpS82q>kzjei1+>8-pW-R<4s4cj?enXF6qZs4hYEDXgP3 zKsq7}ZlZX`6-mhOhcNpFr11x+Bj4cHFCcipLwn`6r($ra$ujQ?!yl3?2@aiKA|x3j z;*`O#93AhKgpNVV>{vhg#~O{v+SYhTZ1NR3mtI;9)ZT?J$F;cYlm-TaN1K}(8#R#$ z!jp}aTvRnPSFT*)GwWFcdP0Qp{HE)^Y6w@vRvRCW8a(tZzXrU6QP!NY`t=B7v2K9N zBqPG>&xX{-0>KbFU#iMGNJA7IFZj--vZ0JP<_? zkc=G;825uioej#{lXlS@;lZ#}d6OyU7(=FAmrvN99=C z_Bl4~s$`>Qb*^_ibB&FSL*D~D`3}_VFS&1dYtS^O61AlDsD`z*_4|qniHM2Cn!npk zE8epkOq?J-u`&4F143wsUXc;^nFYUlHn6iHZ5xg5$W z*g9>1u9efAEWY^>yq5rrK>|YqC#^kbxS?TooQvx$yvn5V?QM`UD8KvsCKs)JAPC1H zJ%Odx;hOk^V4)Ix!(yau7cOX@bsn&v0QZ#xPVVd4Y>m0g^G!ZWvTi6N@s(h z;{z@oA__xp4<}zH9)mhjY%Tg1Lq|@MM*V2#IV5_BR4c&UJtQAPuU{AU7&^9I{a<+S zUAX!m;Rv9yVrXb6g~(|*@36G6?apwEh>6K@q)sc4!@@r9H5waH^06;E#%3aE=;+Gu zFgHO_mYK;%&#pud@!VM`bCPLYDk=yq62QmI{QN$Aa=cSAZVAEo37dROk9EtZT!(pv z>5=v_EETM}*FwE}T}den3x7x^{85Y_pKQhT`QN^?GoK`9`#FQ^>oHbl|Nf4G<)wQF z3pWkSA?fEv($mb|zD#eEr#%$Hc;L!kXY{ZC&IZf2zt$U7pfOZRVd}feB4YR{<5IJ} z!C*%sgAu2N?-4fn_~?P?EsIk?*fk9d0yL*ioG0TxARjRqZsE6|8KqQ6P`L{Y5Bd0z zauC;jZ0~b;tf7&Sez!*Nql1Ke@BzfpBqxMq^d3CnAv1G_YOhc6cpx5U_MMU7gJl(K zwcA3_+&Pbf);p{Ks$PUP$3pANfPf3 zet}*C*o8%1OF0(vJuVhAcmMpcw)kYg*FR$WzrXA6Ulv#YSHS#hF~TYS;UV+qw*1F` zWGMdgv;6%-4pTt+aYzBCTQQMmW*ZVM92O+ZS^x2m{`xg+L0tCxme3X=MTh@CE3)Q4 z!rOJiRrno*;QMC*e0EY_o%nE1p_YyU#JU6rS;tJ!|-5P3j_c~sTQmp529^!GlJeU+AU|IS%J;Q6wqVKaM%ZH!vUk3Ilpz)KG)sVV zY}&QU9cal9>tjR}0{x)5r4ZzK-mh4CRUEU0#+y~(VD%Lj4}pkp_5HPt|MlNlIVPYDFBq!>f{V*`e}><<9#hA6~&4I7-1u+SI>VAw~DLZXM5`}STvA>ewW zV`F#YEa&9h>74uL>0lww6kaxA~AQ3BOL9BofF_YXQY!FKoihmUqwMS47zeqTREeo zxikUM`1zYR!@~muj@po-VC6+@zD2A06htzljFG>)d;A8w?*tea|Hoz}Z|9JcRQ2M< z-;t~S3yoY5mALaQySVM|8e*Cybw<@rl%lU8~%5kl)Vdq`45$U_}Be^{PfcLXl zX?~%|)W$JrMm28VPK@iFAL{-8e=QP~#Iq14Lt8L~4^y>dhD}R7Sv(1~ao|d@z+rPI zTnQu*mT`o)ADIbaaRuyqXp~Q2NTY9(h12~7GlvD^{}D;lS*XSjRkO0P_LiH%q|EE( z%c$Sokd%~Pd-3Fjg28h&DJic|LtS0JH>M;Rffi1r758QDcGM=!F5`eddxFadJ#OIp z5%ETtd%YfsYm)>cC* zL*!fTJ5GY9xdRYg5qQ|(4ih+(@M;ieC@G-6drXqnIS&--Z{u0>a&t}kzp&!tTqz>B>)jZyaN7(5ANNgqS%c&M-aghQZNyz zucW3%aM=n4qbNcuQKci7E(Vx2%rk{Olaq6LX>nTJ+RkntAOsLs-=(EJ@bTFKT$cv& z4A$0SVeFr^6+p(y$F7r1^4YUZq>e+rTU1wfEnx|WOfedDdl;Tl+P9}$foE^#ZaUf_ zQohWHv;}pM{M6>9I&$hme$4$3R|p1`40zQ!L$Mnk2z1Z-icxLUCP)d%aHcr5yzMBf zh-~sTu1w$^ZxBTOq?@U!6d$J+;$r&Ja;?`R8vOfL1tC;$DZkUWt3qjmzy)JgViv(+ zsSGh%Zfmw)Z9i*^tiDyO*&n|f#5OYXM8|fK8B4Rr;@eV*|56WW-<2#Vm zB;>Fi>f4XU^;q)|M~IaOkh;e7NvN-(Tj8QDmE_pJf90-I7GAeh&56;5%Q#AmFW|(( zZSc@!rhob8^fXf5hJ=KKe;U#^=O|ERDX3Jb2{@tav73oQ@WO>M6_#^~)dn_W+t2*x zyY^+_JjZ-k`BIJw{ft;PV)O0#%K6;@3Wg>y>E2^3&xQc|FOPEv%s zckjYXnu*UORA!`@fnDi+TN^VGE!FPA?tu2C2x?`>Lsozh9#OR?9^03gRCrGc+s_=w zsGGyG?WuP?P#PA2QB@!iFg?PCM>ngT@DHIg1pr9s+H!k%!Es8}|1KeufIj96Ex=#e z+uU@uwI7hXO+UZFQBC%T!Jk=m|4IX-9no5s$;4AAZf;hVxrP}XC}EH5d}1Oxm;pq+ zM~7wKYM@7IVs1`F0cr8&w_1cHztK$>PyqqrKv;<}`rpN!0hcIk@Cm&GD!9jm)yD7(_{3}gNY9u$h>HT#b)OJP zF6JpnRPQAM037!>C`v%G^RC6b5DnaLFHh)h013evRQm43f+ZqWBudhV&yfHU3GADo zUa+BK{#r@0p)who0dbgk7O-I#123}!e?3$3n9=p4paAMdzp_U@TIRf2z)=Ej&n~Ow z*=jbt)5I1!bLI>MCM!LGaPY^R(zUt?CAHkuf92o*e6qa?$gCfXPfQeJbFH#mUYMZ6 zR2y$iJ0fKa7Tkeq4_)WvOJzXyw%+vk1`k-|#pEEx;`aLUhu3^g?x=y!Gba$nOV!%Y zm>?>#Lt4ffEsVUv_3ja@d_%JK(@okkf=v z2tb>&zMIU=MCMwZd>M(5qhHqB43o~Ymx4~o%RtjZzn#}G>WkK)aT|6HHLCx}jnK6? zvAXBkStAT~@yd(Gh2p>ZMmUdY7aWS6nBm&+G2N&sbYq8I-3i5vz+YeAJlwq-F-7!; zIff^Ty%jlf>oQcQ$1iYjB+@o#<>cU=QY0!)e1@BPyyWtuVRr=d`z#ofHLz zP`F%Lgxcxm27y};nE_^X$8_K~xQ8$}&g;`eN^tYf^@6Fl3E5-2);{i3zB?9IP)WbVIL zd;ICopL#?jJboK;b^mmj`6P$3M_D)5@0CV1w3dLI5sw($d>JJOyPO6>jq?~6`Oy|iN~ zyMeeSB(ke|acF6{*t9R8fd+#9du+R{rxHQg>%b}!pb@vx{^y&n*3sJFri4)rf&uyv zz97NNuF5E|pWO^MD4AmzH3*85HgkJj9Ru=$Z8}jhybzqio9pssdW<`Hger$1!aU0K-^!#uMNwG(HHi?7&^}Eq_^Ju7ryKqiDbK0Y`7%%d*T(F`u~VZG=LM=Z9#(xa~5}0 z3cBVtZv~dl@>gUykL-qYcS*=bDo})LXX|D+Y6=`58Rga=Vt=V9q%K{lXGR%^3%q4kOk?(^6TE*v|Q0!V8pW|&2N^XZ~JlJTyz6R@mV6>^7Y5JsZAc%1(g zFn=m^_Vqmk4kx*Uz4dkEDWy#~cYnqS-}7^BlK$eCE{OsdA{+NtdjSjJOU3k)yu4y~ zN}a>Q2?N@c6sT|3RPe9OeWv?VS)NSM!S|bvb)An64M85$XAO1i1rXRJDz<4KlFU&x zB13nRZ;H!vP)EFp!(R7~#e0jndb-|s_TM+a@7Sb&RF!yNi}}D^54!=22@Mod_C9*E zf8XZEB#TC8R-zUCvHzWRE$&nx_W2f_(x zr&M@(;U1TEMUQpv^5Tfo-=lR|Eg`l0G-i#>q*wFS{idW6RzDZhA)$z(a7MHa6mn4d zwsf^I0Z85SV7Efh;K=U8|NSy5qCax&lGKJZYrO2--oJlu*i3v9FzOKrlZmC}d1MnZ+K@Pr8~B6}yWRlt>q7vQT`O8I=#xkAgo&=>F1%g9|g z>pxL_b$ZJ)E)rPZ0s?gzhtC;)M0mROrzZ~|UU-oa39JD{q{}HVIWfIN=Iu#6h&`Ui z$d)iX#-DHTCHx6!Rs7p;V(24k$|Ksw=<2!bev6BrR7Y9cYY6eFYKSHlrRwj=Nmj)b zXiu*IM~dP-7*qR)USUY**$3+mYX>dK6%Vjv3Z*zjCXc)P;|_DDEwcQ*p~k{C3Z`(qU8T- zDi~)(Totp-b%~fKfg%b;JE4Z-?S24K3G+BNh{k{R_rFG(3Qo?3rqo;a(EJl0>N+s! zP><1fsm87FF$`)?H*S3bY68VkPLPk*0z3!q`eo zNDxIn?CZ!vNbO)9AyqCxl}XGPalMn^F-(IUgqcEQ1f`-!8VrWehBz;C4P=k|Yq#9Y zwgOg1oVi3)iS`47U6(z`QXTbjnHAYK}i#j>aepV*t z%Kpv0vr3IkO<^XTMVP3!YIN~(AHpBW{`}|cY;D<$Dw{yu=t7_Bxi8&LK4%oeq1Izv z{LB+Teq79qQ+&5EF};V71c~tK(M7uZNQgiHS%DkVC$-xu?aA~J6_$c76({QdtXqG_ zD*ZnJ7dyPB{{k+q=s!$OB?GR3SvWgWz?5w@shLoDcMc4^>ZhAHzxSEOv3+80&NzXf zdwBv5>c(2iIGjCqj@YOX-~#la5@6h?W+eAfrkv8~WPDu!GK$Sm;) zBJxAr&fLu!k-w)~vGinUk4k~#E;OCIPZ8r|bZdy$IIsmx>;nYX=PiyuK5avP@#1)^ zb(8t@3?VJaYDfuoHgq5d z0nBb*|LX~_+*Nh*r#$v4-MkvmRHv(&_Lhu-PJ zrrte`HFX=yL-B51#?iUHIh+Hy+psyjeZ^PUOM&6{VwMSc%d;3saq;qQ`MCsemt4%O zID&5tVZ{Bd2?>@DFE9)N(_C@Wp<_q7?o#!rm{qD%{veqMizawj<>?>5Df`)w^yXV# z|JBJ@6_%LbSOLXO$AcA){|=tbZGrGN43Qs3&k=r@noc$~j+&X%hz*=%(cU}_gMPOU zrKLCUoMkA_HS%Kw-gZX1%+n>BluZ z6Fk>@ctG0to5n1}r&E<99wZgunf8c2*W(1q*5ikpSlSrNB6 z{7;AJ(~D;yv;dEz(JFN-=eB_}M9^{6LLxy(zIIdThyiK=w}VU_#nAu|P$&?zOotNc zJSt>DLij}NKkL<wgMjR4Z(|;}e+qa{=JUPNE9U1>?^;=6mdvHBbOtXp+&fWkm4SjZIi{00iE?-Qj!Q7cqDP0t;`h(Q z=zR^t!P6#-{Jf-41iwW!y0j=C6aCA zw_*rSgtsMn{yeeg!j{>x@(osrI1*mRo#m>PsF*?+rt|`gw9EobC@Js58b@v(VWN-_ zjZXq&TbQg@XY*f%krpXj3a7(SFq@c~il7TcT3Ns%$ow$0XJC~S)ib*X{Q~${iQ!Z{ zfAQVxV&l>$dZBP`f`lP0SY?Sc-~*x>mzxK}V^MGVq~wbQx9xA-2)k79guvc-=3Ig2 zK!la3i@`dYn3#BxGWIJNEi-d-I!(~1(ZekCnypDS@IDRjKckxS9Zo|Y;)08~(qaJ+ zVkj^z40ekPbwtZlQLLj<0<+%(fQ?>;@PyXF?zCp< zzijeCE)gX2NyofAa7^N!jf&+1?6SVX?vCVL9;D4lnkPVu&mu2pHTuf}Z~x?C1@Zx~0L4XuklPXlHvp$1oGFs+qU%HO zZ2Ty28I`{*K@kRUS&BGC2ZE_7=q1FS z0I&rvKQZJ8#QH5WCx_-oZ)fLS-0z2bgz_y18FZ?H*`o|<-mV8=@D7u%`A(mf9M(b+ zff+ZN09{?CcJLa$$6-FPvmN8VafNODBn%=V5}{}MDAs8h85s*LTiy1<9U7O5grQ%;;^Jy7r6^snKGP*rOuqO9Wha9=k2v= z6V|aBdGTha^*i5@J_nAB6Q@ti3seuc1+`2&7F=A3`>O;T3{OJ2hyLo~{>_ItILbVQ zmmXaeUZjWa%D{r$V%@i$=9N?2Cu(J{mPm5s`LQiAhu#`ZpMy3K9} ztrxp$HvLtBG10303(PkAcVsK8gF0NWym))fp6&7G=9|xUBswh`RON5E!bgb)gYA{f z7-BcxSxhJV2aZuyUBBBpxXq?-SD^iPIfY9X`*iCa^(q^jkFqUS1(LqDNBjEvcFgvL zTsX>5d5hYvFX+wIU|MCEFYdLs69?j zPCiiW;2fF9^^=}d2P{rWT0ZX}Np?TSiQgKz!ZRi{S; zTCBU>`9|MUp`4&0Ee&KNr2u-(&ho(^O$3|N{H&Pp;_oe>7S`Hdea}EL8#Sjz%bj;x zOfN>rP&miLu&LOOm1Ise8IS_$XSN4OnL19RE1dD>cf7qt_&d#phFJfR&Uv9K!ReM? z4P4&k``f^g7Ta3Ps}1VLOvgPs-kCt-_&1(H+rd<5Jfl@welR5W{LsaWheKoe7OIRV zbUx{&bKd^>FyAex^Y5+CjI8(5+KJ17e4NTwIk>!Y40qpFcB1>!0S{{}qw;Kdn$~L| zr6T7tn7A}po&91k`{h!N=ZtBoT%2kK@w|K_7IujJ@cDKjJB=^SiyNPoI@W3ZX+bTj zkUpU~o66#VLP3)rQ{rob#5@KT$C*9(3*(gs1gqwTu3SAm#Er~3R=h75CxriQE>1a* zjUzC?KmTAbA?KK`+m89}CEZ|~)d_<-8Fa!6qwcO_+ig4UQjd<6vD{8Mdnm+l?$#B9 z>aeiA0%ISx>{x$6n<&W@)NHh`%#6lov{kGg9|jvMaQHS*j?#jq$;1O&ajOR_b;$G&`-CRUwz}9vqRz{-8Qb3h@aMP-hDw9G+L*8yAxZzG-o9LDLBSDiBPVa zAQ*JjToo?iaGI?QoDf31%T4%>-tZW{lQ$-6t7jRfb_G4UDu)lc)#usW$(^V=?cQW! zOcNR6cnYIk@1LU+w1`dAY~~enW4gv%KW8KI#5K42s-{d>J)n(fvl$7*&a>xN*y zez$Iunq5xCADx6BE$9B`W_HluKb$$u8)&(7t6@GgKXZV?Pjh&Ie>V6OX^9M#*4_S| z`mp6=rzKbNFXwTHVMQ%cfhAuW`R$J~d6}G($z` zCgfVegDFM@kvz>4$G3WAVbsO_-@*r#UOf1-t<{S+w)_Z0{T{I1U?{1K*?lU==7)bk zo)yRmX6f}DrOBLR3;R4tJ@mu{w;H!@yFsGSqLc25_vY1tekl%}4;aIMFP8VITYNpw z-%L;dUfZ~YL2LYl6#9>?ezz90(eop(!C$8CINQsI<1rz$gp%^tkhMTtczu9Tb5ue? zDWn3NXtWC~&2(R8-tyJM^{zmZj)bJ-SdY(DQkgdnSOU;_czj;vo8 zI9WUz;ul;sy_v+cuf}>y3$wsp#I15NGp$pemux>Z5cTGj$^tPd;v0-hF{xzF=y<@W z_VJcO7Qd?|_c|S(xPgqr)XdfzJ{~DXIbT)kI4q{)ZJ(9{Xm2&Dl3VhwZLSpY@>%H+%+otFNMeGziIa|u0mvbHDQ;458j)~ z-|G9;VxsBGNETEb%b$Z4&<#q-TN-)FD=JMNXw`J47(KE@VUL)Y z?DG5}>RlEaK~i@IDxe8~j0_k-5g>K_`Xf{dTJN1H8+1b)w#)0X9XWEZn=fGJ!-TVe{kLW=w(P@ z2IAaHe)9u_4}~jszmK@yE7z{B8zdJekTOJ38Bm+pkDbq*>3XVcQN>xdGey4o`-}AX zU0?w)>?#m!^J7%CkbYAj^wDoz%l5;fad00JUV$5=VgH`)qEk3<^xqM^xCF{a%Q3=sYiuE>q_fDGjPWti8jqI*W{t~IH z?o00%%B%K}-&}W3aMUuZ+hBI)Y}F=wcjA7Co$n5+_!`c*SC<{4oYI+ zx*GvCAVksA(;L1UZ>xTGCDOd<`wI7a;>z7HcfHNM@MUr?=4GXUIfIkg0+7Wt)3 z%C4yN`WXb=%?r~7%b$%;d)#X_&RL()?syuyXlE@C{?!+DS<*vw_h}>ZkT=uEH#)2l zEnzIQJ4k}J_t{6|3nBQG^h$kMNZC|KFT{@mbl z(&Yo!pC?7^Dy2U!f@<8X=+38`5^{qRs<|MbopErdJOzm1Er<= zuwBoy3$K3LRS)qjk?RZ*-~_EYs;gLt( z!0RttT$i$=24X{jsRk|grrr2Rg?#hBQto7qwc~<@0Vk_*-ejG7`rd^2_>$(^1@3qU zJ6^rj1h7l)M)J6fd`veRaeSWM<+-NtB%GT1x{ln1`r z{s?>%xi=2&j`K!7&GNUa$6{li>@d!xBu?b0!#pvw;`aFV{E=>KxI$b_o?4!QRO}F?w(7>E63mRc(7tr}REA_^0^jh3Q22Nf{l9>R#h1ochE20v)H z6OLvsofzqB&P==Eokg|+|mvjjJ zYr|dcGdiajXmEE`d zlUZlgj{SL_mx+Q^*A7f`WqWs4$yZYogH&_^UkUZ>g=cBMNB1y(39O;o3K6)KdMvk?v3Vg}=!)D#sJQxXfOzW7ch1O(Wj-I6|# zq@1evEJamS)m^jL)o6l0Q8g!BnkgL=;T=^f>4w{m<@I2WqEn|HwHWHekEm2)+tX2ZpDr|`*(CpHMg6aJt(c1 zmf-j>tiwfE)h(~nC=jb5{b=`=>Osa=`vg?zuf_HEx4AQ8F!!PwEtB6+`sZH&R@ zYuVW9H4SWnpSrl5t^K~L!0YF?tU-n#^^KMBUQ)8kdFT87NUeHfwr z>449dA-t^6@f>qtL1O4smEY}gdc*C4MJt~esd(l3nZC(*qs3Wsas}$zq3bp3P*DCn z6}hsYomGlwY+M}es#U8R*BPH(LoO#EA9s8b$3E`!-2LogD4I^>JRrm7Km~uK?FE-if*x!`M% z37Rdc08dq~-MV2X-$o?w+<<;U4WDPB2wFvIcGEgV-650ib}!^53ZY(#EJm>yG99mT5sqIm#~~ zn(EUv{fGAw7Nk%%wac`*^eZ98yjjyEUKC?K70I*#Vm z@62WZbc}|V@&VN=2ym8WfN6+C~cz2oGHmdgN zlx9@Fx^E;*FMmhh{r6Ba;~!XT{^uJ{vvt=DudqEYYF}QuLwX2^N#~LK;XQb|=hKB) zcRddDkbQfrOL%#fZmP}h_QGVMQwe)Ui+A2ga^(a#ek`YbaRZr^Q^Keo*edL_v=DC_{AfJB-_$mY-Q??eMoof=kK|5l zpWLk;qOHi+>nlqp^uQx$T-R@qb#K_hKUcQqYq8^l_7F4Ms(gj^1(s6BiSGxh?Rv_e z@oNg;mAy%|mvWZE?w!#yhLhZOxUH4k8Y|XZ~aCCcf*hK!$>GM@q(+PsF zELBKuAsS$YsM}{Kj3V~3&@>=U!*8a88AV1gFhUQeuBXgqD6M|`(1gJ4(+M(p-JZfi zy7NF!jK{Ok=vd(0Q4d(aEL|O_-+_?%);sOJ_s8(>h+z9n{iN94w+Dl*Z#*qcTN;}m z%3zU@kVtPlWoV#0z7tSv3hK6C>#l0sUuYrzFa+Dl>?zy%{NLXsGjY02Q2cjcl}eFY zd0jei(i(Ha%uPS@)c5?#!9hvcQ%%ki|J`aRQv)sQ6a#20j0eZaB@11^?kc`++7`$8 zAp)tsvLBi}_jb%Wx4duj&_$$kMsLygupWqxe22k1DE{!Xlgdo+2D zD2g@tvh>jKHzyu_NZ$NbHQRx$zY0buXM@e^KJg282CVHin_7Q*+;5hd;SZ`Kb}V=F z?8~?Qt&Yo!(_<~>)kagf1dc;3tK-A`rgQS{?qA+lA_FXj5z)7=3ZUSgUHD;DxGGCN zE5vEZ<`U@5DShbU(g6{h!J^po1^LN3YoKXD>XBC#!>E6JQXERR>E67pZq=yGKP`yo zkIUBHC*d@%O;VTh&l5n_D1CKvF=B7X7PXd_&Y4MyITO4~lT=QLx#JQ(Y}PA2Mz>H?pz~+=%|`U}_SNHh0Vzg1s9EffAItu^m$0w^ zt1u$}yrzQpP3!?~B(cv+YU4Jt8MXT(z4%(i%HZDlI)|m|mQRX(30I5d@-BCe%lo%v zjxQg3&{wZe%%}0?ZsvHG0q-o6t7fQzXWMMB{)WS>#&h%P=2MmTE}CLHC3u`+Dz+cz_eno9w^ylfRhKAr@GqUY1Juk4k^UzSdD{RaarzKQd*D?HXOLx2K-W)+8lfVKVPB+4xUsmLx4U3HqPVUT~&;)O<07k)%};~kvlE;KP3 zdu;ITk$SEM^W#NpWDMKVR7Qc(=nSbz0RpR9ovw*V*PPivfgGbiTi|f(DAv#v$*n%>owHZ}>IygG!1$g=_U3>($2m0{=huzQiBu_3eLb zV`uEL6J^PgkZc)CNp?oUU=rCzIw5P>*N7se60!~^Wl5H?r&1w1l`WAaTSCO|n!eBT zob&zmJpaMZ>nzUeoHIV|&wXFl`+C3M*L5fSi$5K0C3DI?<4p_IOWQSbgpzVVe-ps< zws*=mUWc-J-?L9azcaUe;B@*ibV-cL_cbr*yn3=kdVVe7FR}o0_d?dN(~vj7woTwX zVnA6EfE+b6K4oQP^%>tFbaiv$esu|SJav#W5U}H8pw12dBF;}%4LY@NwDSQABQB+#`=9oWBK&qL|O(ci&>4nDW+jcO-p>Ux(S8@}$_Is8K zPGA#Ioz0FUM;K?AigauyBO~KCZVjguy0i9S9~==71yT*p-+SCz{R7InbB(`#w8H0S ztZBt{Oa*-JIm!RF0VKqGr2@|+$bwzv#WAhA#acPobiVgPe+)xZIPva@g<;6guZ5~` z76RAOC6NX;NjJz~GFIR(1C#7(sJO}4q(Z|{Z}i^onmqcyU$0)>%})7R2FK7} z5(i9w3286iSQ;GLxo|z`vXW76TgSuDILKCx?~d*5Y*V?7RsR~$uy<(KTdAvAn)py{ zc9K;S*{Jn%GlVsXT-5pN-gdzO@1r^yxBoAwkiYkuCXMK+_0#Wuf=Z>#h643UnP-pIE(OA~5bnBr6qNE)(df*}|?=O?@cI<}SUk|p<1e}HeDHzh4i3riuP357Oti@}O~8Yr znj8s(L6sPC;RbYFK+&vd2P)h>l%bxi_U~+xvEG3ZzSwRC>XmUF(&?MBN)MPoA zKp>nLRQ*;n#TWez0kaWUVBfjETYGl3WMutrK|DE7lVA6bdU9hu)D7+XZ)iNlcCb=E zo&Y(QRUROx{}^}?6`zC0IlGe2fT$(RE~l1Zf97W*QTjp*O4+<(nx zCetqQ#oJVpR$C&X*AB0)&^~cp^sv9y`|xt|Ua#=GR`W*H17oe9&OOrF<2~bW?X1am zF7ZL#MAoSA%Z+aG-f%k#=E)ckiTMCsk9qZfAVo~(;!z8FkpC}mW_*0N@krp+4g;RlL^Dbq2Z$ zep75Ak*xy{5Ab&=WHxbxvQ>`s==mor8WfU3x&n&D(o-p~*Ydrt|5MkCEAR91~#f14F z!Jye3h=NEslC}4_tC`8(HK=dNHXN8ERf~NA#J0TAJr(8~8mn~RDye$q3@(}kvZe=9 zlsnYaw_N zTcAELHOkW12XgD6%07^uH5CF^&(|-vFai=CKcHJ#OC-AhT8@r|M1l+Ad}P-ed1Jz9 zQ@Jn(`Aubn;2-+zqdz|sn71mH?q7b_3_0dm=jPz?T}WQdU^4gVGe3z}tp5#^;F7le z{#P* zNbM?QvErU)HJHkS?J$_M^mP2{W+aOm9aKv%VCEnBuE9gLm2}V|1T3l^Y$vG75I_TI zB~hwDbn+3naBFbDui=$vg(!rq(aFnD4ES_uZj4utdbfgSGzpSsE`h*67K6c802cBX z=qX-UA0E4*?Iwu*%k?#Q}cgBwt2U!QZ_o7U+92-EYz^3srP$#B%P8vI-2Y63`+qW`cFrJ!yffgCR~Tk zfl0D(M=Bii@){*y_Iwz$v=G+(R4{Ahf^YNf)sJBLg+`T+8;uv>%`JmQt2Ne&K#&^& z8@JwGT-CfT_}31+JoSa(TSd=7!YA*g-(PsE#P{4aQw4Q=i(^-su5K>ItG|%f$P`O8 z8jp~9hv$4T|EWs-Q_xq*3>WO}hb8?Hk=W zp&cQtspOwS2QTK%@oQRIKWF!oK|YvYj%NC1rLnUDig-tY)TcPs3s;eh;DLqtAGE{2 z-hQWRrKPj$H>s(7)INMJb1sDS(k<6_S>YU}>fFcQW~Nr`)i|3p?PUcr19$y77{))s z7a|PkaHR{|U;{fD7`WxyRR@*s3c%6x&y0K9_FcH2y7U!vn#F3~zsK$6GTWYc!ZMg# zqjtgZkabE!!(Z!$JB!uxYnpG8G8Mks?fkfL(0M%*b8K6_Zro5KWT_E%)|wP+K>m4Y zeygtzJ_7T5T?4celTSwg9E6ELheuQ7(XHT~V!NUF1NI4s_$;7`cl|HRio`;KHYa)G z{p+qZYOai2zSyjAeSx&06-0ZHv>il>9eKIAM0zpIlNDZDJF=jKJ?b;|fOVo)W{*{37lx<}9QpH6Wg-n+2&B4t9Eu)j=tt_n|{h8U?CQz}cA|OqBzgr={b+XI3@86t$tm9KahvSow_NO7N$2{l0OQ|ls zuShkLsMtRDgi>Q~^E7O^#;%QJ@>`En@c=%JT<|-M`oG&fuNY5m#wQobz~`7@FzJ^Y zb0upQo_3N&Jl)>P5L39s>EEAX+6H6@@5b#f_e0M(_%i=o|3roG8KyaN{vwq&7As5q z+3AAP`5Zi3L?E`%oVgzvAeQyTRCyL8SvInXmJDA(7rUo1 z@bnP5jw5GysIc!^zRiROUe)c|K>U7m@?YFKCboo#wY!SqH{%ybyT5+4wa+--{y5-A zwee|1#6)A!CV)hX*!;FlAF%K>_R`m_GoSr-29s*|N~|Bh_CC2lx4X8KQ9dISJpEq; zkX`P7ks-^F;+$a&CV3Ja$o1xD&d_!~H3P^6wcbQ_B#RCh>^6MjtEI4m6Sdy{cIIgz ztnqPfxBj_ZOJju^;7VcRcitCl`{!)G9hdm_yu+bpw*K_WG6$>6#>c(o29PLH>Z8ZB z_We2xe_nb=Y8>&DYJ{Jnq~#BTTl+AP`-bFSYMsBUl~xIIHm&H&$-!Y(yRd z#&&$=f>8TZmqsmSaDE`4KWlTaVl-6fzdy5b?VQNpkQHUxMwYglH-0UU)}e0dQivF+ zD%_daTnJp_dDkkq@hM^Svlf#mBZmOgwV&hrb~0e@DK>PkkY*fBP<1 zmu^GZ`|4@?@M2OG0Xr7ffIPQ3%=2X-c=y^~bB6QDi-RjSw*43ULp8_?LH^2R#{KQLcPr}>*%B0ovb zi}JstagX=6SzKewF?j|?~g9p_fPiV ze?GjA=^q>I@6Yx?{v!?i&quQwzI`?~${)hpgA_b&_`POEfFUn+)sKNcN$zX*EFCcXLF&7Z`pSxFXESOn|50;5mr0>dJpaOn-&q^Xx|ojP>Cc%Gakc zx6w-JE z_UFABXr@Bwn`e9CR81{m=UC}S6Oa=PF?nez7A-vN#Q8^gMTm+Q^%3V^qxskbb~-sG zf+!`*)U%5!54nZQh#Pgj-gr+&*4=+DB}Fj~qaig<<$KrZ{(PXB6;0+`>lrRLi|91P z(PC@!2*beI0`y>id080)#xlZ57(q|p#j_krF}OAnsCEAiZO4j2@CUoNgV@Ti1Hxq^ zS58PTo*T}TW;!-Eh|)n2kfX_;gUJ{2`m6qtrWV6OL`CzWh5f(l6k3`(VVn8vzO_@9| zI$dKBD_mPJ5WAR`&F9elPQ}f=B;am&mN4~t6hpCVGHXj9fk1sD8_BilYhWOXGo)uj zA~eThd91r+67;(Xm2{pnCVIwL_Leww(&LsnKV|SQ?>Dy}VMv~Tq<{8ah&(@JA%}k! zQ@@jYWh6?+Y5Hlq%`;aTLxx91@rC1CS{Cj+Rq>owm}pLRcz~IxG?b#3=jgZ^TKln9 zSfM1H?S}-BQrd8@F!_V`X%UJ=Zw^Mkv7TNFrRZ9Nm#=@AAAY9yv_MT2{h^p}5moWPPTp z{oqMkzZ^+K9=p}swUC-D8u(GcS|MYx^3+kBDOXYNIZ}oPsw@l*5Qa4m+%K2JlwIV) zM8nOrU!=@(5PaFEnJtibd^G2BD1Fz_i7m>knVcdK%E2;ywF%KL>UUIry7Wm{O1ckn zH2ly)kmSwo89X|@;b4YQ9y@IevF7a`3ztREv_c%UH`#S&m-WroO*SNy zjKd4u*PAt@a-_L+lj0l#@fWTm*=JG)kCo0%780r1dkm<+GS< zJ*tf!JOFHf?H>mjzu&@;ZY*}@IjW_j{$W8bv6g+QVTaSJ zGs=C|&D#VNCM53~Cbucb> zd>BVQAk)_o#fH3Q5K@T63ckz*`>t!A3o;lL$|XidRL17rYKq!;sE^l(=koOQnU%kB z@>Ge6fw~q_Ab=NfcWdv&{7_1+B#Lxnxc2~h(;FqkH2TeOU*+8TFDFgqk4;+J!VJAn zSAYE_0tzYO59~i0wj3%x=TROsZE@)CQ4VSG0+US!lc(H^uMM+{(fulpbOBdU<+sd4 z@}pe%6qq1KwNzivmd=`g^uiC9hrLtF(%To=u2je?boWrXQy7g|Q^GJu283nebNH>^T4rlAP#9w(#dQu; z7D{&ea@7)>yFVh)njHF1ByYdnL{_j%^@+bXtJkx^n`+asAyG6@Da$)f4^!AP3EG3o zk`_*rL#84hm6&v6acraUT1w=b?&- zwz222%vU#m9P4DrpZ9c1hWVd;qID?S%X}W6HnBzk#20R zq`@({xk)KW>1@yD-8Zo=yv;KT-(An1Fp-q6!8a)y+Z1G#-MNq%WOmGSFw)7+M$@#{ zYSy-u5Qv-BFpe%LGHaC%OrSK-4^O+R@|3+98K#g{=qVl5SAoBBgzJam4M?Xuo9ici zu&l%x+OmrcZ+Rz9puLK%%U})-))_uA~?o>$aka$!TSPS>gq3F{^LN z#U8L#S29aapSAXB#P2J=E>eF+_}!5RZKp>*Sx78vWFSsk9&R+JfXqM&lb4918+qYM z8KgsfN<$xQrfiDI{>sNBCF+9eX0)9WE3M`!O-*yKIc$oYGK+j2jGnGnSSTE%<&d>x zwOx+Msjr+Dy=k=nuHjVd6Jgz6tA(mPT={;cX@HN_&40j@E|GjatTC5|bmz*i8dKC` z`^XVL8C2qs+aQ5DMyN82%fi*}2_b>iQF56R!Ja~hDx{OdEymbfb@vBiuc zM&IWU42ND|bT+l@9h*4V1=X*xQh6YabanB5T-L-gCY?as{7BqBtG5+pA}JT{P2hX! z2w$QnG-T>ebhB8;?yIio_fv)yU>zNnMo`bSUV%HB=r-^ASK!J`qG-O0L>7_5+4mGP0Pm0*CN)Ht%Jg?O1`t131^QR>$WMHp`NfM+OC&*m6dxq41H1I ze|Lo0rhuiFPA4d)m?q~LazeuxLm^?qN<&9^g>o2?i$dEd(Ct@YnxU^D#a7PmpAJCN z$xn;i^-ncYH^|543G(2U?4pMCH%Y7*a~$8qPI@+;SfE^VyU>&T+RR6F&~5q;9-P36 zMGJR?QuiwL1V4<-=65AIo`AfZ_z!~SUnGVbBmG!M#Bi_qlc0U1kiBb?QgLG3Rc5F} zQCGWiS*n-<8m_7H1s3-y9nHf;f@vL7(SG$vw1%U>=2bIU6Aaf-L9(w}(aj8Z+7d}h zcDj-t8quTlPD`Q4+|bzMIK7D17cC5TR_;%zt}Uz~5U=zoGq52-zWUMb`-+MWbws$x znDHiw@I66Q&CAT_AENS)baE)T=>Vgx!rWaWE~-JMj}S@Apnoe``sE;BW$D|fl@Qp0 zlv(oQL6pS#WN9g`w6dPSBv$?Xi|P zUOuK)I+;zW6gH03xM;UF9Xyu(mew_@+b)l`v$l0#rAdg3iTy7W4gQ46&X?ylsuz$J zD|{i#V;$zU0=lsS`I2$AaUX& zt~ADKJ1U((+1s7!j}0I($d<;%8hP4C~zdpOPIsZrvatN>gpJws83eP zZlWb3qgRfWjvwT=dc!!-vli)u9ib z9g5X|e)XI%kb)-J_r=t=Wiw+}xlSu=&6{QiNcp;tG0>Rv_ZXP5$Q)mT%rHV#F!j@*5Loq*mGMo0na!6%YqD6ST;3^%iv$#WRm=6K-ewsQzDC-8 z>^4day)~2X&X>%)$|!L7GY_-}%4=*e4WvH~Uls^i`6}5akbNL4hG5Vp#+`ecepKbM z^vtlenPyj?a#1D{YnelULOwhf*t6M3qFKZ>Y$tXy}#`9TDhx|=VQ>C ztSvk!isOZjDBLFhgUD< z&2axnKx0}_nR-Jfsz{0s2jad2!ZvTc6v1$*xH9oPyv?@gGF!n8UA5BN8U7kIS;F^c zwosIkGM-5)i|P|`qPmx0tW!_LnWeI#x;R!ZepYEO7qvy%;53 zP9#tk6hCUJMkU=TFZ=0}1#exMxt6Fi=<8;S66$L~nMDvJMp(ajA7JB!I*^mSM(uUS>YORe4QAn6x}`n$5bCQ74cAVQik`$)IFRg>bXw z<+HNVHg@`1!U?vTdM|LgLYQ|ZuIVbWSp9bD;;z1VbmFehXUUR9 z8;E_YJ34B)XEIBtxbhdr9cU7w7 zERr)gDla!UecUNuyy&VKEl<&|uaO?(?uKqxZw+(iD-TV@a~#TJvK^8}a4IvMmNw&3 z4#{#sZC;+TIebB}c0&*$W1F&+Aq&CAMa|RK5Ft3G7}go&*^67cx7~6Vw=}Vl zkfST4>0h;PyCo%l(>+gs^+|+SrAH69h54oC_KcjGN}3;|drkOSZUQ0qVxuOs@CYr3 z3O}gx*OgA!nXdgy<5!!rnICid3SX)8W1YTg)DxpSF)Y2^b249CO1`+`Flx%1rNuyZ zT>7=}L9kHk&dm9e2^XCJT+LyoZkHdP36#c`Pj9&JPQ(&hm1uU#EgWnPv4&A9GtuY( zLV^-6Tt2V ze{*8SzYLXVgZ3OL7t6xUD)@2{2(H9#5mj#L7a^igF)QzrV|_>HBm9e%*k6tB&oYd~ z+iAkKsjANmVE2m`XP2U_b$?{J@rhUQyPJUjXB2{=)^`z!9V0c)4Jt8{;}Igoq_C%M zNeF5X(-Wa_k2^x>JC&UFsd2w~5bxIZy84N-pCB2~E4kG&U@;Yfz2Z|-qn=Z zOWVt>%Ma4lJx3I-&unSs&7jRu)?>ZdU(w21vLQ@RHSAN$Oq3c!2v&R?HIVCofHPcqC&yZ{wo+2Yq>QG6UI~Wl>C#0asO&zO-_%L#_SFs{OLPcrVM%Q?x7R`TSm4 z+3f2=i+#qqx@}d{3rWx(S&7zgj*xu|CX(enlK@yF6w>};q zRBxoL0WW4zuX@C(oJ69No(ariHKn7AFQ+M^#4=L`))JAT+So{ZX89Wt0jbtcRfJq^ z3>SjokbZ0$dlqWBKHGNe^CjU&d8L9s)Hjzy%irJ2L9>pQyGobP$9sjnVT}wRp@0M#+(ggK`V3g@$X=>N!60KeEK3!D%alF7`x!;0rL2-8Yg95?HlQABh zF&2fQ1P1nY9IH14WSl^!Q=h%JY#hx!T7A8u8ePPVyVCv+ye}BNX>nTgG<0@7a|DJXOj8p3xpRq( zgUaKvWu6iU8g#mbzPZyrL*8yqAI)%U37R{HCocOgR`Aqrd}9SszabAm@2x*TuRlMT zjOufGbMo;c%X=1;hZ1tiMI!Ftn-!VwoItg7R@(GiaT(fhnYu#M66sote2pg^gl+ns z80)L%WqOZ63qph+4)yryf#ifaHG}@J$3vU_uMRfxP?Cc~B&)jE*y-K{u#_Ham4D;? z*zQa+&+eL%m45TW-6IMYe~{xPCbg)vNDq~vJLI4eLTVAbE0Q;p_|pss#P48P5#^$S z^HxNl993jXw26}tZ1bXJ>x77YM~6CnLnKEM{n7#>eyEpjl$o(6EB4caQKt#hk1z_b`!)XD{ZIob_has;emlZBEd4scHe11?_38C&v8){3L1o@d2IIF@?TmIG zTt|Bo%B3ApESE!tlcz)%mFOn(1tEF#NxUyAKAjD}v|qnpN+$gs8r7|5g*oL#)CYfk zxw7SObCKZEXUSoeRA|%rKB7kVe%`VuV!gn zVezJdVIBejL#y=AR%ZPor8EdJuL~mzaWfYp0=!Xer;mA8^Ers!J%Lq>o*SVazzpW( z5?F|RC@HUS(bi=2W368bo8|kRGF?d-`!B+no~BS*+&C!`fgsN3mKxU?Kg^>pbEQ(W z(>ERT+c`I6UQ|qsDR2*1>)*@Gt!0URLU+!b|A_%#Pg-=GOUr7A4T;Wf&`_J+c0t;r zMafssONQ=jkd|7NT>FM&Lu~lTtf=Zm^)JD%06HCn_QHRnZ+O|Od1*yN`&fy!t2%E| zB&Cv@tC@xh_90i&yn<~dG#uzCS>&P_Jp`YW&oL+r!pB>C+2K=_H&x>Ul(V*)`R0lBqIJ`cyv{Aif4+8G`{>=6pgg65-9a3Ta* zU83DXmRBunW`C-$X=?uO4}1t7m>|9KVlS(8VX3i2E3~#rg?ToU8@YlIl|ays@f<^I zfLv5_71ah%;5TIKYqu;aO>)L!WC`={yZ1-Ws{35r`Pnw+)JVnhdL!+MXF_h10@L@| zQQ?YfKiT^I=s91^Q3bN87u~#&sirX&o8xJgAC)T!o3%{@CW{kAs(9hJ6AE1L9#O!4)7O-SqP;;j7gB z%K}FsK0zvarQ|X7N+Iq{Y}Eb~A8{6~Rk!c6{j7~@-`YY<({*CpC$CrRMqTU(jZRo~ zk-R<yRbvYjZaS+*yi*J#+xs6m~OM`ww`mtTA58gm-a z4|juSf`cH^ME;?q`kw{y@!^diVXXS?oJv(>=ldK_K2Dkx#nR+LN#N4~gadt3*ea4W z1x~_8wQ}KvOxU!8qKj0gXgAvr9~5JkX<0Hkeq_utkGb2AO83UDa@MbnNXdkLnsANa z2I;^o+SXp28@r*61S=h3;cjhmoUHlmu+InHf&S9w1>u9)o;N;~d#R80?uT{c{bLih`bw&8p+Hy4+2ia=j5`G_~X^OqD?`yG6yN zrks=6&NJSd?dFXU?wMOzV)!T=uj<6-vGMgY4lS7p44f}=$s~wAY)eMSPVRFGe!^Kq zG_&1+YY~B=vyZJxHt&&~T3Wi3-$%YfXBGGxeheM_zaFuZO~>io!rg$mp6#CJp)#C2 zdQN;n-C3Nt5?d)zQBe>jN-mn;GdL#sn9#neoL*FF+#=@{el>V8UYBK$Cg}TIByZj~oQM zkLGdy7pH-qvtS|2--IWO=9X&49Q_cJJIS6_<$Y_(y@wly+{FqWgNGYmy4JuT5p7Q1 zeddfkaWtcfP&okNf9#32srVP9nN<_J9S?C8AdQXUd~oIBds@M|jaM7rA^g+k@9v!b zJtX7rB(SI&GS&ez=%0A^|K;oUkKaakV-Yl_Zh=Jd-T%U+@3euWln*anLwbl zpkz0Tcu}?7G8gc*lApT5o)t=s__WAS7T)WPAAC=e3M<>!E^eZ=OP(s)2e-bpsUY&D zEBh4@Pv;iM#n+x^h)<&$^qZ&^3UO3&IHDg;C`OBPDVn1WuWZ%r=}y;H**iky6R9r! z_j@UGu`wu0%LCU~1?3FwI9pVh@5E3T_eUJcqDEQ2+0u1rlS=kLY8?XxzAW z|LXj>m1S}ZXsuegsO5=mp%*u{KzPY6#Rq?%tDyC54J&Zp5^{A&Ppj6>$O?AqpKF)A zu5X5_iuh3l)RUqUuNsqlQErin8@2>t#szu-fJ-RXgRZzI?z1H6mZ&UV+4h5;*%yDn zG%Ub0zpAQ$nWT(VVu?;=o-#N`h@PPLv$Nk-03%D5{Di8Ig^Ag|uJw@LFkFsBbs>ZN zxL@W~-NiXB8U5N-FO_km8oRtQ$7tHD#N<0aOiL@EMjg7nl;kg{w%^)}*NXnbTNrUg z{8&5ntngv{_EHV~bb6I!+zC{Ltls_uxz+TeN=|pRLUNpSPv?2^9nwA7r`Vm_{o;af zL$YqHPzM=;DE|pW*rBZW)kbggEa;da<0G`61~!sd9HwWIXf8^vA)4ZkRW(7qI32s_ zfssj=GC8I>);laNC1LSO{D3LnjfVxhVZx1j+?aGv+*h@cO34^+x41K-=a*8CjjWr|iDoqm=0~Uz~SlS(gW{J$#Xg>0HzNUJs@e z&7dDG58pNNF4lf;swLR=4dkOt3sMb0fR(fFik#U-StzMFnsd&A{-^|;OQoD_+l8ea z`LSLQs|8Vig#1Jx@$W!vv99Wce&^*IPG!+CY|5Sf_;Bv=!Qsy6&NCF!e?J^r@ zb3p8Na$6>i4awL1w=YSZ_s_E$kt^wj89?Ue%R2E%GZ{w~NT;Nr`B>4sT|7V$?_Z?m z>H&!M{*u`}qp6pUzl0vt`F3qssd!E&xCCtXXE@yhMOwSBnk>E~*~ASYy?Uc?Zo}H= zaD68(g(t06C9ZtB_OL1bf_<1ZUj1`0-{=F#Yf#FZ8%aA=M3gzHVIBtM{dwu6H0S-3 zTgw_0*bFni$}$=-6v4SZWO?#Ub$3oFo&51%3cDel4O>|Q-ui~|BXbPm9wjZBhF=zw z#=kODi;DyDJX6wae^C!_k7!XOw>NzTMR-(<0NV zJ_3xyiPrCMXh^%SaOoOUY@OObraeh-+j(Bm^XSaO5L0~Y!4Tn2?sqX{7ZuHObnWu( zoAJH}BbjgAcAXDvz15&On;%{hw_-j81nkkt=IQJN|3Or}kkSuun0KuR<}irQ>| zc%&4RX_(CPr%>mXkquh~8+#C_$!DZRH{Ktq7OtbIK_ps7I#psUFuHiL=*p>cJv+yW zhy=Y$r`$<}73i$_$%-3e9gVwNSJF7!vy1t_jFU?+t5TTdbj|2fxX&44Fsl;B)SxVQ*_(cyW9xA?6_+hX-n>lsJt{(3#&I{ys}J&hy#`a(=QTA`^X`b^6+Q` z&drRAi(o5U(21OH2~DtVG&L`GST;e=s7RpA9#6~*tWRi-ZA=6Rk@jZKs%Fs+GTU0J z6KO@c7WNW3%q#}DEetkwbmByc1_^jt&S#RNvjP}>mv&9D5%E7bzlrW+f^r7e1kB-O6{KWf?kPxqx1M39-IeIhEUJmJh9^whV)}CG^j_Gp`vH4P1dt&5hEenjL`+j+_j7nNMVpP@^A#3OT zb2F3A>2=z8z2AJqW!oysAH%ega_=?_{|#|14)|g_CUkE!KXVL?$Q-Ex*|fRaj}9Bj zS52Tsz<4}@v@bT+WftNuN=K*ny+I*6swI}-0ZE!gikeVD$R;r4r2uTCi~#WtoUB}^0{|J;WL++glpfF-K0fi@>%VxG@{afLU*&Jh2^kjh*ByCqqOU* z)#?sdFub{Un5GId4WbX}R$JQ2L$G7UjU0fWuc=mzR${NTtcJ8vOp6f=_rlZ}rPqzS z9`G3~$K$7dR2zDm+9`$Hj!Huh4R9>)jB8G2IxG*bwl18a9Ub zX`=PFvJ6=U{Z>Zyvbx^&@Q4+q%mgln2$SSR^-(V^TL|Y~a`IYoN_IPaRTKCaNp$b# zWUVOp73Lkffu8x+u&UXx_*%($XSeeBcv6OATkV`$rDU>b7UaPMk?DZA03jpO*vE{s zw%!Vs=3Kl%sF#T+j9&Up-#NOd{{55l#Wn_pHO(p*p{G}0jWkiC(WkH6=)<;@dtcF5f7c)3M8Q4hPgAv70yR1u^CFy#Uf4i(^N_f2F%5-1TjgKewJZ=~-^R{M`EUupU#lqd(md{VWxiIc zz%&ct@|t=!ldt}U67!Q5i$hpdT2ji8b5r>2@WqR>F{w+1H{w=-yUBffmL#A$%{gAT zq!N06hQjfhV2H*tV)@HG?T+LvA;Snu2Z`(XOcX;lmJEtDrCWa-4VCLcz zMJxfSnIX-~&QRH42KVa2SD#)fCt8Nj^rA4Vmpx?b>&fB6jG|B~Tn%M(5RC}K4UJp6 z4^?xAfvBS?81qf1m$URN2?ZR9-e~fJD|NR^Zo5pamOSog-K*aRcCO#}NzI@@u+3h^ z{)})Y;fvKP%dm2M8Ox|r&r{Wyz!GcR+y;lwOSaZk%`#Wf-@fnu+NwKhmjtZk?WlX{ zM!MxPk1$trS=Cj@QqkOwAHdtSR7W5j!0vVyX@muGL*e^Rk*tDZG^!d+XWD!s;iKd{ z&2oz=n(d`XOvZDm$h~l;r8DW-3GrpFOR+^g?X}`c$PDzN-$#1*J~dv$Ei&<5NfyNpqW1+wqlkHQ|fQo5Bs>q;VUr6?{EX-L=s>^nJ#T z&gx8Apk+f~~r@$8`mHXisxmj`_Lc}mp+&)x1cIC}s@S!?3X6xhqlogzjFe0X@ z@FB9p=summUvvsVD==}Ah! zl9(3lEILXs*yh4P~Km_YD(R#!DdZsnfCLA z!`=Fhyck00<5 zY4BBv8z7Z(TJyfBkmX=IvgyT#-jt)8aPNi`L?oCg13n5V@(9J(uiL%#zMi&DQEwz- zO5|xP8RMb0apA4RTj`ier$GAH&_OOq46@n|7knJwKdowT01F&Ah^7c_bF{eE83C)E zBfiYHaoXnT*_2MN(d~qMo2Nc3wrN%F-)o1>p>oW#B-@0^zF@5bSJw}F$XK^N^%;9|A-(xa%JHUWIUam!SLWmU=Lz7VMy;IZeR*2l$BX0kOzU8k z4>La;Fiyx`y-b9bDo+e0_L8|JHad6mCP0T07}7y=*)_NJslY|jrs}zZn7HC>$#boW ziIJ$xeO5Hr?;wpVyO7J@6`~3~*VC8hr~;(>$_*c-(NR8P2#diiMqrqcVlFmYCMpc$ zG<6j#b>lnhGM`0@grr)!2}`s%^+7PVXuZ#(?N}QJrIi`q%G$9GwVJr4oCk+g--}xi z35E(NL?!ylU7i%v&XZMh#v`NeZG zJW>&>rpNY*P;647ESjwRiV9Mhw~8`Z^;ecxWcFU9Ha@5OwK05j%n}eb<4l*nB3mq> zc)8W%YVv&RTI6!d{1(uTV;RfQQFL}|(h2NQIeiK!32`QDxXZwqEos^7fS`xn#)@UW ze>~)6X=WCt{w)x}bAO%Rmv~yt;f{{RUFZ$~&rrE6MJrFY620-Ovgra3K1eqBeQ_hm zt9Mk9Cob77TzQ!iVp{Sl3I+AtVd=rL@R{1pjfQ8U9`kM(+c55Eb51V3mce+6Q3WSn z+^if&ORv&wEnn2Km4w$R{umxEnv|Etde0_)RPq=3XV6dQXoVfj^Xkh|xoqFGV%}7?TXu)hZdDmIWB=p1jA-v1q4P?)vI{{n3@nrNp=?R-Rw`%zS5WCkZud zyqy0K=YPI#@QOul!Rjv&gN#eP#`jpKT$uQ%Klo6=MC#@rFH@V+&rqtnN!k7rnB-zp zT}C%M-(Kt3caRAUCg;frx^u}io!xM>#3RPR)DV-iKSHEFm%sparK#G0&2MZq;{>)L z&+*;vwIQxfKf#@)=nGGLdnku)rd?I`znR5ueV|v7>$MV1 z0tz?!RwRVOv|wfR$PK4%bgZttuw+%CirsJ%ink}I?8yE_S&9-YL!yDlY} zp#PgBxT%xI{lbhlv8nocIYXAMa9gipnHyITuKNf_6Ne5ZYS=J-8&gBNk!wR;b?RE3R$`K*`+@d5KNI|YGXAMKQhmjNN@jtmMvpCH# z^!mjY(@Q0fwjnu=$Uvg&zYYIfm#;Hk-vQxI=}aqL1QUbe*JCvb;-Bv&_Hz`3Y4B5c? z1a}w7)S%T=a5~kb0mPB_O_c@dlNPVjX(@hLaQ z@vHQn(jGkxdnC8s9QF5EH=0ih(dc8?lDNQ&Y?4MEO@n_q=r}m0HA$E4%XrPkqhDHe zsn-;S_x-zy+vA^)D0hxV_m>3x_Doh%Sq^4LmpO*AS=GN+k}cJu4InVkXIqY1+t{6r zls_IolR~Nab1~Yc6m|oCJrO6s^#RnGI^~mnjWqq5oM)bR; z^bsK`XjQ|QMeDM1o!egnc-KGiZ?*vkBJl!N?W)fiD+5A zpMv&#?!`a69C|Ra5?j6KRUnq7H{>7qs~cPJOV;dKaD#J{+vc%=4@UF06N~|3Lm9;Z z8UB&dx6r)u(R%OEYJyhxzwczagq{}5UNTRtR1#ieIlh&QDGqb zTpyB@cH7kkIz7IY&psrVKemf*DZ`3m8iIsPc_9;)ka6& z(BP}ZiLkpU-0(O3y&dvStv`eD7W2fzZf2n(k0;juZYYQE-0Bo$`DYw_k7WgZe)yY{ zIzh&~0A?}KbW}Pz2D5w-D&-c?W2a3|=)N06wxEO@{fT{ZN0BXf>6+vZff`|^)(^zX zuc*&OI6cTLb8@jmg6|FQiS1&HI3ae&uG-Ln_oZdFPC8{6d!-#S*yuT=j0BJK=_ViB zx2W#>67mC9Dk0*BpgQg`#r8zutFc^s=ef39#o2iLNVv0IIhZ|(XiNSxuX_EMZwr+= zmrU{&T-~M_@&8uUilM)ZrIpv*rao~a2(F!{V{leUV91qxgIw`-%j6@OL@b|CTx>Fh zR*Q(UjJI{A!-_p6Wu>(@lFKM0advjHbeB#c80KX9qaW)Z=Z{#ccx);)H`;CZ+@VR% z>y%8M&0{f#<*RS)9b=m7?rS?lhB<^9unuoTLSvhJ#T4xNmGj+MDtG-SY8+6LYe%@0 zxYE+ObBq(kDy3!hF5x(7*!ZhmTDs>W6LlB@EOaa}z???+7*uG0Q9aL+K9AimrKRJ> z*j0+-59nHIim31Ci-I0jAvM8>`Wi6=XSD+XH(dQTbh@oKmx^vRZlw$)$n4~~3; zA)i=NyzFvDqtdTUn3%a_*HF9bKS;DYn(X~iB}6mVRqwbCP-|x=<-aB{4VaJ_eV3_Co`8>}#=Q)SI{Z`~@N+IFw1EitA z+&To@9zmta7ZbV}gv@>>7pbZM~WN5RQunEdYMIZZpJAY-)mwBXGz$O zXt`M{^$5jiPea=j@Q3D_1BVu11MAc+utMiZ0eLVg+_6U>^r9hxC{7*NeMV&6XMKb* zE&mp7e|TGGc5XTFmmfhL086DVW?~}C6ct_CTWV1Uq;|95PZ7guu|E-2xUViG7*~0N z3l91br<{>=wDz~@ z$t4sBCu9G7)cNa7isNbB_kUh*DY8n7Ob4Hr$Lkk9&s3BF2oTozs1iBhv3w&v%0uKN zyn5-BqzL>G;yM#lfJt*QHs~xxIqJF-0*ikzyT4eh0sOL|=wzeQd`awHWU`b|?Aicr zTVNagY}|RiMGxtF6CvIb6h$-jw_ij7lNC)=iTZRVhF*=)r=zl}rxBvwi>dfXZsx<= zc1t)%xzlV7i`t0mWHX?xl8K~^sE`VX%#@0gtMnlPV5BFZHyuumbB}N!WhWq}i$_ua zQqU{p4Lr>-2+r{h&f|djVSv!8YU%C^gt~#Y#6KnwvNL{;eO?(_j(gYBo z`2kCj$wNZxoIvL>cLm~mF}9pglva(JYv4Ug;3mfqAzOLI6bs;|?sG#izdOEvjPgBV0s-|?`L^FI=L?Uv?F256Z5n1Gb1LwA{Z!;h?-|JLcK`LJtx;| zkp*t1tV)<6-j#3^XnqTVR(miAN!?E~9F@na$a>#OzUsGgvh8+D;mo-jQf+69om^&1 z6Af_y9&YY4^RRIx%J->|x|K{w_LrLQIqiIoZ#PZ|Y*T^(ppl^+mzzO=lrQH|^=t+a zS^bKPo6PyLipKSE!wSVq6n2b_8tW#sLFSdGNqwr_^9=&^fm<=YJgS z`$#lKFW>xc4FT^CG@M*qJ?5_MWOL^3lEg!pdr*_DQKCemZXGt^Rg$E z7{1mk;%xvAF_`Xa&?WQPs_=K;?thW*Jl?rvOP~2hUBrMC!#WHp44H!yJ=z99xI;It z-*l)s|5Qs->AplR;IKUAD&H)r;9`bjz1U+p@T)6CH)!@^T70{AarW%jC?JWesFA-$ zYyq5D&)M;8Y@(c>N(Ru{^Qcb=-JNbW{w&nZcA1Ap9O$STH3Nj1O3^tF*K@@=`ar(> z$Rl7cojF&T<)c@Ua$A(5#C$Hn_;G;>=tUBR-m^wrI-(JI%V}9doo^abrB;a@7eki~ zGMFK@s^pe44gKGom9-1FWL~NwzpvxU*|~j>0ygR--zfVL0?XvU?6rr}p>+!|@hwgF zzAg7_q1(&y7A{X<*D|71U_R*f44u;vJ7CUy3&59}>6kq}3Lu`JHF9Mxw&INC36T*Y z;tTm{u#8VB3y8!_y;gypYqHD~Bn|`$;2M6E>0^qwJ(h`XinG+}#N{RYxtaqzfJpD; z?89(Ssb#)tWxkl%$bUPc*#E3A0hdCBrsk>`#hSf2+T3wK$0>~1XQ)Vxxj106= z`3|z~Nzu~JZ{E&lkv9zp1BMR;ENO4+1Af>v?ah;z-r#?~Tzc>DG%&q=b+CvWOD=qW z)%8GT&?T$q=y-qdn82R2x5_j0Xi{P#oFN@*IBJHI>FFl7^tw9!g*;|R_}R|yU8Td` z(~?+=OvU@NM8>F{Ta;YtuoGxPWa6N@0@w+?I$4)20@!yCogHhjeH!VZxkOD$Gocsd z;q{o17_0J{c$SZtv##n2!dy=4ZvvxH@g+%X_T`j+C-o+Db9RZtzIN6GW%1JyNcos+ zS_)J#mpO5T9a-MZS%NhB zT);&2X_+so>`pyF34+X?({mc$Sb&o80)_$~yC*`|!T~+$Xu+6BMr=U8AP(S4Iz3Yj zFssn?HF(&g%{^t$T+~r4hD=Z0Slv!9iDVdNPrTC=As)5Jv&YKm$TJ<`^7e`fE-zhl zQi?5Z@&fOj+$ecNP~uyLC!%mjC_CtHL=cB7WxjE<)BeEE<92eM(+=h)oF@a%r})Ib z7r@5VQv@5^y)Nq37r@~44Pe%bibM`Jc>iP#{uMAp_`hFYbCZ+FDZRRx4C;OGX@LVq zjm4=95IuwCLXV!U37eM7a4VKb>P+(4*i)gn&eKl{sLktvBz;cIf8s3t4x1WR08Xa@ zm~HlOJRq0b)|jgIQkjQ{a4b`_tm{}rRI`MWK4}Hgn%$cmbw9znc7ZM!j{Jd;D77v* z!3D74Mh_}I9%D?? zDWqNN>1^KaY27|%wn8Etf3G8?5dq6=8A`AO&u4m@P%h_lU=Myon~9Z+{I%ls-O+w! z2o^FEY18g9YK|X)biwoAY2<(%0BbTQ(3P@Uixk$N&z)J`pkyIt6RBhjpi?>qPwNbY zb=?D3kITaj6Q!5=Q!t?WsEk6XuTBg#78*|XmPLqx|faMzn zq-CpS2M18m$#ccW?CBKk^j=C}uE}9DoY@B?>aLKPXbEob<8PCC8PoaF8A z`PEO+KTQ3lVG)|ZtX{Lvn4>1GMGC<4eYHw**aW5YO{*qtKJ@U>?2vLgv=l#Yu25L! z0$&Ee(RvHhpvc*g3+#k27Hs|N5Bz6mhUyy&q>$Z-3Wg$CUWozV1+cNY zH>0nXO8k1Vx0nhi-x2cJ<2?0^u%PaOkU9=(rKK?Nw#xoZ%;x#eug?Bn=OK;bQc}Fm zKS}Eia9e-*5)`LK&CRTbvnyE*6!QZ+`J})?lBOo1&Oq!U`QJJ*`kv-gLcAUynJAvj zxAip$d}nTwwLrhL)Jb!dh8rmD)(Z~ zcoIb&IP#C*687MtbY>#u?)blX1^5AdI5ws1@igJR1qSE6Pv6d}q_uQ8Vz7BgzB>~x zj$-`l8IQrvh)C$kz|ji$*3ylDT&MLp`z z=vx=;g9_V|J!}kW{>4(S(B# zb-ZFD8J~K}(AU4ieJUx2$9u7NTkoW-e+~BwV`*$bbf$Eya_iLUhK1`P^V-aD$&0j0 zJ?=bK35XMu&X)ADM|buXTYkIs8sTUUC}eV%w9Tc3xfUtHk~ntI(aH5X@iyOe3G-2Z zMNuJwUp-VS2iE>DK#ehJxM)l>L>41m?ZsByhnLdAb*rN?CWsfB;XE}v`JV6tsP@&k zsqAUz)VSr}upwhoN~SQ2{91Ms=b@~$5reDYfc2VCTk7_IqeY)1bSf;c(rv&4&o>ki zey<06nyaai)k?g=RV=e_UNso8rU-9%DA*egaF6)PmZRv;NFs=TfJbn*Wb&G6ZmE=a zGK5M~wg*`GUoaBRW^XdHRFNdK;YWW~Rkcp0N}(Ale&*x zIh~u>&_HXSYAZ_@GptVtWyPQoIoim$SJTm5CY9MBt(5Y4IgxG`wSk^No>SI56k#ow zk)ii5^YKq$`(+$X%PzIcp&!|)sM)7SQkpri{q(Vj*iyEmquOLf)W^85eH-{S)=Ilk zm>~@1xADAaoxB`y35+RGKa5Gt%8*eDhRko0 zq26_CokJAD#jXk(&)g#ABQehUXi`YLfV8A3YnH!BHCP`tXrfnrw6*Z;uup6ob-o^r zMKN9hGSn?C72LJ2(S9>|_7YA8u@kA;=L?!71$HAjvW%CMMT8z=Gr3O^j-l`qSsIPN z?rtH=%{n~{LD7b5lu|A70~-#gZl8ocBDJ+4Ro^s(vzV0)1mlUv#2TS!@6PEW3b<;I zEfkW(RA@bxN*kUZ4#wJ&S-rfvWe5&;u7u2)Ao5lYb-9SZ^wy{4`0F(!*gjjnhL+el zMA6B@-kCa+Z9w>U3W~au9VxwabQN(LD>UW})yzdDh=WrGTZPTsVi$o&*-F2v1cucAXrn8ziqUnaitF;{5EC7F~kr?WQ4 z{L9$g0xnLiIy^+@EYigdE5|erB2+Pzjrv2&!I13%$+gU)EdMva@l_K7@4OQVRO(8+ zSX;8UPD@R;Ri!vfU%jUtQ5Cc^p*Y})7h;wo`GK*j0IwJk`P{d- z5gjPhJL%Kh%iQji;76WG-pN+iHiSvSAh4KGgVvQ%#N}vO#&$gc&I`TU5o&K$>#0mW z4p=2{_Nqja7%$s=_Ay}R8q%#zkr+@Q&!(TRc`7S2$3*WLCHh)N>+gKpZMkhGCK1GU zvJZP4s~1ySlqVDvYu0lK$q$zpBb34Mr5-b$SjM%_!&`mqq&9y`Mf;AnZ{zXW{>&GM zI~>0Hg7VWFKe(m%d(25&Y4Slo#-r?Nw{~no-xb5*%w|E5n1>NZqRJCFMiyZFutu zVw9U)M?35CXXm8rA?C0XT$X$3m>fU09Js^qc|XB?jiRAo)M`x(-+j*V;8X$ZbM1Q} z`UewV;%>fGEs3k_H?k#^Twc=5r}}2OxVbGvnC6B`d5bGKM+-i|HJLz4yt_Cb0rB(1 zmFF&{ z6!Dz5Y&}nvG@kaX6PiS$7#826heAi}WUnk!?J0UHM|twf^c`2UWe6c!2=NGb1p9KK zyGhNPQ@@RQ*8#?y##vWmp9JEbn_A4k?Jq{Ucs;iBJUsx{v zl`voZHTKT6?IZNh zWeo9W45bWhV->R!c{)aYEs)qxjv7>!KYRBEhVwOmGq$NT+7_aws#0BJJ(UqxZ+QTr z&Nki;{QSRXXmJ1IZSZmSs?g-Q+B`M-Gn`8P`E?XM%0V*qnH-Zy{D0z$ug&vUc>_iq0` zDmJS+$}vlA*_Jx*%cg3;nX`Vw7k@J5)Kn*~*Gy^y+B2~RcC4A4CzxqYw&5ziEeLMY zul0G7!S7ceH^rM0mvYQkf@tXCpR*`=$z#1qlNZZ7uY`MyGkmRw#qw{k3tA30y_hS2 zYo87`HxFbhG?(Mg@%^D0Ee{md$tia%Z)$TIRKoK6J#Uf4Mfc+k*RA~$d31)HXA)!5 zhjoh=AxNCu0`yQQowhw?vWH%dBjtRH!f4%st%*H{u%XsXKCsAV6cKJoWnhauUS6|R zZHT7RQ4_cAnkqc}hI$J!;}K(Q2zZ$iq6rX>5AXW4*ji^5EZdY*>&-RwG((|zgvmb= z>?Ri^_Wf?CM!nVsXlczYjMvo%0g0l?Tr~9bX0~=Cyo`RcZbRy``j4aTOP~`{#l5I0 zYvU(k0}W^0p9E?d3SpTM5?(Qrg1L7hAw$}nPC=Tlhboi#!{ZW~9jWKxMA5czTf{~< zWOLuVD>;5&Pat6PGpqsM&A$UBZztC;OzG&Jgk;c5;7esr3mgNeMxj3I3E%x|u#|3`snshV2dF#1o6g)KP=9)WrN&%&N}z#;G4D-W@3aGDH9(LQlDJta(PO)i*&Lq2ixqadPpg{e}5_0tcA@>22NvLAvRs z)Vbs`^_a+ij@B-#e-59|^)U<6=2c2cF{+yaZEf<#BElzQ8a45f= ze(Fg7kE;F8|6CN*rfjA&+)X@Y&X>IobPW^H!p3#&LKk|}5 zJ&a^fK#p^q?NIFQVWsS9*X`l^)knHG+LeL27B-W?0c`Y|hUtxY@(xtap!41%i?7e~ z?(Swj*Q0$slw@h&+7oK$(i)5U*RDL=sFq?nkoY@Zm!`)JZdpv-`s6uwleZ3ZU$oPrr4ABZs-dS8cgIPT;p1lP4CA$H#oOrJfO3D^)@y zH?Z~U2v9++ZTV}(?w=$6rgD9&mUxs#)7|yiyLB1qi_3hki~odz;(`ai390FxaakHT zlT@hXhL6nhTTZ_*%1W^m%ZS$2y)>4TOn?z3F0hh3KNxc_PA~1UXMy!bxSe~7r;oc& zHJdXZE*g}Qgqjj^?BdG}nQ6sXeQwdRg&7#{M>?0!ijoS(H{3bu zB64_0rufp5*+I^ef)`D<@xjFVV!>nAd*OT6uTJeJr{j|FMCh+6oOJq=f)|#l? z3|0AjQ$oupwLiC9ShZjkKQqHDaO^vJ1r6Ol@E);6Sp$V^UQ(bd|HCl)GkrLDnB2j| zu?#j(DHgd9@Gx9UsKJ`)KXEO@x{(nvv^c|U_|=jHui*V$QXHo!FHvprPWT5iISEB( z{FhEYN*$St^O<&gBEI=CxW?OM7lcd1Z?C%VRs8mSbJ(WI_3Z=tn_HOHIq&HQU6yHmiCl%s9=!-mu^k1?HW!RVEp- zYFKjCB6{UI%WPD1!&`&%^K!kpd`LG=|5x?d;VQ_PKetWlG@A&~F)Op$E_bZA>@c;v zW>`-K#G{h_*;UAm17(t0U*Q)GM@XDzw{}Br_!{NJA$mxDWl^S%$Y2&;U>t)m?VS4? zl!86cu|;bOBTF84;B4_UXu1N84y^rscNN^hsde*{8lXc)gb)Vs~n-VdVFU|BQDVZTso4aq#2G zU@zW_ZhHS||LrU~N=^_ESQx)@Zm}eCwmnt}Gz&(O=M@_6OR(0H(-B_OH&f~_o^t;L zEPH@jR{wvWwm_>pCekgWUOJXBrc#zSlGD|ZbGYJt6@m~=3llKVwaJw+fElq2QGG;8 zBw5a^mIN>xP?{d1u-7bhq_uaNusl$2#cMxFCrhY$K{!Tpam-=P{`isg+KZ zHWIvqKDop{!ApHWpb&eNWA!3C(P6W7CgnWWFLg{Yqby37kw$>*ERCa+@sy*T(O zO%TtSNGXM-d0*)}v&g@vh(SOx;q791T@M$LYSc>##-6AO>`gwFX^7YYM8# zk0fG1c~)8~K5eoeU22p|AwAqTK%0>%Vl6@<99IoNanQRFmYwoiGJHeh z<;T3cKhN&Q-|c+lA^ix2{?p;gONBhB4FtB=$$dUcyeph~nX<$${vfKSDLHnLpm*rvYUH5oEPNIm*`w(OYN3GVb zqfW>`wpjB@Wx)d06_9QALtEn&S^VQ|*JCyi*)`{HB+di3<#$_=ND$lOKsvpa00JXL zyY3I%_FoDAf4c++p(V_bhK#n$2Q(RA9>3*ueo@m;@PWg(`irE1$JzRC>bC|H6}U72 z_~rt9*>!R&Xs!VK(~g=9|)5(-ymvJe}?Szw65 zV1|%td*@1mq!@`jbvo*-Nj{78v`FhsqK!l@xr1>-%NLu0v-X=>!W_KD(#xKPe-LXw zNP(46kHLPfC3?_=n)rDoyz57n`;@~zWrA(j*Dn#N$(<|ohi$iseWo-?kS{{q72aD8 z{ig-Og?YLkaxve1DQV9679v@!15K-AEwzVo__9LigMRB3OE6UyOAtXyXU>0E80{4y zOw(*I{0(k~r@Rs}qc#Rs4!(MfWo-&@rtx7F-}oEc4L3qQDVz>CpJfV^q7Fi5df~R* z$h@@T@bCkJmwJW+I4P%9$JQB9hALe+l@23$k(bDxDMAuyq?n9_z(^UCHhzY*O3}=0 z#;MlL?Mn)gR2VPP_7I?!Z;y#+-~KG1j2L2yq#K$) zA!%{oF`e5QP5d;H80^I@Qz2cW+0&qAl|c8aE1=7xOP%~Du!duN(HO~4^V}`cacWwjXd%W%fU4&6dW^&J%E}KQdesm> zvHsEeZhm}1vX+6QUZlIjcU^$en0FJ%L#q7$X<=EwBUZKd_&t1hL6?mT4FO|Zpe!_I z#1?Moa+JUT>*oYSNn9~aZ@0ILQC2b~MykZ4daJDgSN$kSjzAa0yThRsInfois7%qcNA9oml7637u6Zf;VW7vcnW&(_&80k>nQ^mOqW*(;499}sUp0A3 za5gUjUMo}7!~wu4wF$)4iuV`#rOyLto=-BTdT`~6_LPH=9PL!O1U?q$-YdFzML~H& z=5i|I?Vk_X-PbCtT8jbP)h&;)Jg{ovU%f-+uS2$APot$jZ(H?UDlf=%3xb~k z+3m3Rm?FMlk;n_{dd0@-dT{K*Ep60B-&LO5uPFNg!{!=_RRX8U`NFIr!t|I_d!!l| zOIWeasWY}wCCLG}DA~*|_0|D-S6Wp&*{h}7f-R8&jf{w(@JP7OJ8s8yw z)tK6i@@ew=Dm^J_XzkRHv)9K&jts{NSylFhb6Hsjbp)HROR z?3~PQe1T@F;qyUor|QuF9-6FG21b9fQjI3F76$(Uyr9qUY-~3%8@pVKhezJZ`P#kENSdcM1@cB`$HTDa zOahcduDTUVd~&J)z^%$`>1Dxusz=fh-%LVETV4yu;1V^8?!7v)ZQb>^$Y8rYeAg{* zG}X#X9(!`F+SOf>*O?FbgCsG>6v0k>@b>{8d_ndNQdC`;v z;H^B8*D6 zLGl4o>gFI0Hv?;)4HKIIp=z@DWDPS=Xxd))#u+DNckMTEgW!*vE$+ zLBx^y9CIwkqoc&uf+o$#AW4YLx>x`~-(XS#N&EQ>nCr83<|53|QLS9#2=Y873GO$J z+E3R5)C4JJ9I{FwUwiqSxI{*JK3Zm!H#PGKzQ!i2w}+!kqjIVj7xaB@_#9RdRHN8~ zqfqQoXcYgR9gR5&jk#Q<>+D{$orDal)?{Zlk~rn)*`9wm5)G-AIZYISEJteEhf@w zyOv=GdIe5}1L*Cx80*G!mc{JPk3Y->eHYcNPOiRsblwDY%U%8&lO8t$=Ku0!l9H-d zFVy6)bn=UpLDq=kM$>l-@g0}H80NfvAD_KO|NU(BR;1$<4L@!(LpT5j6I~t$f*zym zT$@d(Oga-&OTe0~x-|oMVK!rh6qKTt)GX|-W~wh8 zc8afuwOv!0tl&Mh?kxs#C*hhXb@@L<4c$rdS9w+wMSpxrW9b*38sqO4Y#K)vS-B6S zfuW*`@!85tfA|Bo*GGC^oYHu`eLFF|eCH}jIt$EHjhBm&05RcdeX1_}%a)TDGqoL8 zAXNt>WAR%h8fJ{^?7ZmYIqlFw@!zUnTuO_324u+|7cqQ8r77)g} z0c3-Vv6PORYUfoy?`dP+eH;*#i~MFQP2Xd$qHGc{+Wl|M$2sffrk*HNtV{tXwOm;K z-pN4oY7TqkJDX1i)p5jEV)Z&j6E1-gZYfQZFxJiM?3nk5KZ9JEw`XgjR6+P8_uBXqNBP(@D{pENe?_GfF+D^d)_jTeG^+D zPV*0!>Z=e-3(An>*&ZpLxV>TkAH&Br8PpfZRmn)wCpzYG^dDfu^4$_MF5DkTpcx05 z-*L?aUgLc4w!hzdQKu$YwW1UKCQa;zhm)Bu*+FTZe*6eZ3X$ILEO>I(dx(b->+kSM zQ;v-^kVF>(0EQZLbHa9fA!es{?+bUdxqR1@@?+ATZvxISNPEg=0n)y0AboV93?JpA#&kCLJ!dRs(GVN05+0=;W zS}UgB?!;7fCG3BpjF7RmW?|3spyp2J-ML^`#gMMwToV(ymgW2cJTPXzBX&O$cLkWp zan?dTU91d=d*6H{zLQS+K|wWN7h_q({`>Re^>vw5eK*23RtA#mzb<1IeBwyVpZ?i7 z)V!}7bST#3-LyV0QbWVW08csYFFw#RVW|Gxv@dy@_ zRcRHwuQzG^i;l9Y-#oNqJZ=Ko+7HTU;YY*#BId zu2bKsnwSnPxL1o&Y!to@ek2IG(dN)k4BAzFbF-UYLO<5^JMZz19iSf=3Qsu8KK1Yq z(rO<$;)!NuWnC@Kbq)ZH^0RIr75Fodz}$Ado&BE~PB5(E_4gDgvyG;R#;E2x z#HUt9-~ChK*8PnJegYpc)JMlzx(PDXUhw~z!SWTh)_BARK3{r2$(AUbJ^YP29#F?o zVzeCaIp?7sw-a~Wom?8W)vzPv;%(SDF;Oa@OIG-uwX8YGN7kF%Jvmft?wO?_gv3)| z_CYL=ds@jWt(woI|8R@v=kp3XNri>*Q)O@vm(HmS^2Tk^I@ zbzwF9=nm+zhkO;xb>G1y60L^xPoYC)o4%vznnHle}3R|ZR>Pdd; zbuJJuCD}ba0nXYQyt8i-y!6;nv}nW$`n5lM8fpH(8*A>L+fs_5Hq}k=!QqzzM@U*b z5|wft7|kNfDKE()LuAKXDBZMFFL@8QmyteE(7W~5pFQet19dP2BOisd%=pE0xD-OR>37wcFidmcDXOEzWbVPQA`WNnCnK5xf3u@@hZNw_e z$V!go`*IxxH-UW!u??fHto2pK+BGt0T)(+#&DW%+1Q0uX3~53XAJC0z;^ML$G>8wq z9^x#^`DUp^t2?OFH~fGuqp&U1Gp+E|1l?tci%Js{w|Afcm)3D(31taixi8|Pi(gm{ z^*@bv?119c&D>fMgYHH=&03{-xLZKcir|z>BmgM%Q<&4nTh~(pN!Rz}Fz1K6Yaom~ zJ_6(Z#|I!2JWLK>)TS}`5Xk;sn>BXZ+6C+cev7YOpDbyw})4oeS&xQVq207(%fVaG@Din(rZb-3p6NNG6f3)~c6dIHV z#?kD_nlYQ*3i;KP|EC?V)(A=&T$fktDlVItrWt9NzkM&qNs4`UGS@ow3)mZ`HZL)` zmMkgOkYkS6>E}~>>2>tW=OXQej=Do@OEuznw zGh}US=|Qi<J%T!S&c>e|>aOyRBo`T_oA6ukrQkR_ zo6;HsG?SS2ln`LspqO!GE1Oznzmya=_{YVqz>TptHdc?Xp|KiqIva~41`1}|gqPr4@%^@#nU!U+mFI-9&J^F3X=&EWfz5+RSv1Zt^EDomzyxIvCU z?oUQT0Xs6Qg~&rs1KAD)ax8nrSG{OjV4mx@ueaOmbGK`x9*Kz1KBlJg`T-YZgD+^X zf8)9PDi*gYx`0|Vm?7DtC*Kiq&QVsbVra859NvUW6KyN*wm4{2(2b)Z)#LVfY3$V` z!vCc){_}oPR2v|rm}`y}C2!GfzR3QRXp1#lPJB3hF|&gL!sH5R0`G>OfrIJkm8ez- zMs#Pk4zO6mn5&bRA%i&W@1a*OwNCH;&_0JtU;}M@y*!&SW7^o%iwve5?qr^uzipSu zaoxqvn-0%EA5Sga@gJ?``lDcj5=DA(r&!h1db{hZ>*(iu>JJ<`c&4O{fIphnKk&+= z<+Q_Ffq&*l)MK-oEDRw>!3?q$k#4~>K-_VuM(yRO&=S>C>^*Pim6cHEX0mFAfbFoI z8+*=c&-G|_D@u$x(|2_Cz^09HXNrye4$#5dA1=2^+#UBmX@6+_|JG-ppOrca001Ap z*dNB?)Km!QdD|xO!)bcgwEx^wcVAL%=`;3H`_G(gF7QksHX)8-RjeLOpvbP!>H}J# zchi!GcF;CI4V9t^Tx5^Xw81QSfe1%fcJRgy^g7FZq^{t;wanRA=*8#a21o*xGTF)+ zxiEG7w$xN!O(2+lC9C{0Rfrl7@>=XF%9RJ zVhv2@PfyJCqU7Z4B` zKTJ6_h~l9POo06Tj~H3D{Sv+s-8+<`!Gy%16(M!D*O|kaJ7(XHf*$1bz=lY~ChVlA zvfoOLdK%SmMg$6t^hSg#C0`WQ>Z|%j0HI@56-9UfpxX68z2R#4LmGp>#fiX#j62dCejt|WvX4ZG#Et`bcfI%aK zV~)MjOM0Aw61Z?tR&kRi`$(PeB*xjhw_hCvN`3t+cEIB{*Z{+qxYEoG+H=1VaYf?n zwcZ2-8_J{*;IUdqPY>HC#Gx&2!a_;=$zH+;h9)F4VI&Q00(p zQ9H0yg*}hlO4B|QxlhjktL9mvE^>bHvserZ_hX0Bc8o=F$TR})GJ94M_^%$ zOu%Tfav1(|#gO#AcMHV9m(Z*@?j)cv$Gu!JKFV}#VY#`zZQDas7M?^Au{^QmEe^)! z_j~$=t*&(W&=sJEdU?H>vfmNAl=|=xgfF^D*suW3-y8t07y6OKc1R=;zy4nE$IH;C zZ$eu3o-@5Wa0}kJ+DNRueC`C?Jj(uZ2jV1C;mBgygERg{K+nX^rv0au>YdQr8Gnd( znYT}MTr$n5+Zr4o;I|I|vJ27=3G|U0X;I}K(}{lHVm0rm;veit8#cfU?l;Z-K%7Gi_PYPkusibmNqj;>J~ zVj_{F3-N=w=E_57{AvV^(ySW_6{Zp0-Q74Sr|5}l&o#u18MAql$0#^`b0OIRshGvI z%q+==aalL&IUOu=812z?DSM!-g?u@$H{+Tr1^N2kY6=Uke3q ztQQ~w0@V#jWHCOaC4KE#HUhfgG-xQi$DF>%L5A(IlRd-DIhM@1Ws`mDC#aBP@cxfKZNDGv5;Up9!-FuBTXy)$CU+ZiT{HK?~i9`b>I-v7NQ zQd33`Ig%}(!2IK_y-`ymb)7$Gwu4rjj3kOOZM zdb*$}l|yzsU_8X3$IFA=d@iizMy6Ue*Q$vEjUw3M=tWr&wVj?zQX?4(P>8f+f z8;sEg(MKIqqLIpB@uu^B9NwlH-Tb4m^@c>fxKWaajz#n#V}r2!;Ti4d6&A^A$Fu5p zL`-NjbG3Kr&)5Op-MpZzjGcNF*ozW+@d5~Ohd(zRZUwj^2MPZR z7eJp{?02*xQUIsBJjnJ+69wuB`@2?-TzG} zZMYQ0FakUi=hTEIcaIG=>UnN5a0?BoxShUite})2b);G;&W*y$3#f+c0*{TIa}wR? zEU;ye#2(J74+?3*b*4_Rv=0 zyrexhXSWo69{liYoNDwLZt+(tk%P0g#riB+aD6g0jUz+Ydx=g1mrUHbRTDo(GxOPYHw(PrZ&xEw5zlX~$Sk!% z8RWz%)Kd>U&7L))V+5_Jgh)rAm^Dk6g-H-a@pUC4Nc$l-Ik-SNz*QR|bL!D18$%_) zs6_h&(C-P%)t_yl@y7?vvRE%St`x(dweb8mvOTjP_`=|`C>C$)_t z2oAn13Yfy0_q*zOtN(*Y%@E2?8lPh%%?`XwcqNp#KjYBy&Sh!sXVFS;Isb;imp|V0 z*MqC`Nf7>|Lp#1-qkw*EF`H)II=vpC1|-fWiE-tyTqgz46B-C|jtl0X$gfdH0p#1CAQ0^(5!edEP)4i*XfD&(J2fbpB&d#ia9}FbE zl}UQ4WFR~6S#5HNMc}PE4URX!E*9;B6%(_+114EOsU@FKj^XXOb#d5MBOdhWI1PcH z2m$vNYl7=L-I5|~a0gp-ZEGzpmh?(Wg=yJMvKfik36Wi8>efq?sJeE(J!%b;$ksWm zp#=T=m5l}6rxI?DhYz5|tE7E52!b;cqKp&p;p*xdDP&Y}-$b z#un_&OJ6VL?CeN|!!m(x>a?Huq_7C#{GSQlXBo8Z*Jl!$K~pL?>|qN7F+m}y#t@S^ z=C!Xrof?mO;b3FFh})w(vbRY^l||w33-T;tcYubB=mW1t4)0jAuBRO_Lvp#<(IK2z zJ-6|==@fQuPDH??P>5~N0(tFVrIlVie%O-%rvjDz$ZDu?&l+` z)nv}$VN{RYp2a7IseigDXv~nX)h|7&-@!lkb0tKRI6V#}V;V=WZlq0N$Mf0NiKS>O zha7RMOyKNwPymXU|Hu(rEC4y;oyXN=`n1mw@zu(uPGGg2@>$z>ApW@axnP9lamP`h zTkON1n?b3EZ|1;k;SexDW&h?+LFBCe<({HI=BBgxEj2Kvh#&<92AX(|2?y*OuP*+D znfmRP+-TmyjM@X=IMnT?j!_56fe=2WSpuHpd0B{stLvbz#Tv&>kQ|$>o26>+-!`am%dma9lqDhKFnc4)$hp;k-yBxPzK zOcdOy^*(}61N8ns6bre$zACybb=6y)yi7Me7k>WomJ|aj8qq4E5A9Ub9x|Uf>ese( z{P?+KQ#qO!Ej(F6M88<`Up8i`ki!`iVyK>E3;*_iN8eB@T5Rh zisz44j|a87;2$OC?O6nQcjoggDiYgCW0k4xKBFKlj_`D5tT`qCT<&<|gRe6?6UC~| z*-LFR($~VnL27U{Zz^O!pVKSu0Bq|dMWsZ2wVcdK-YoP?f_M~^i?KmD{x6!&GN{V$ z?ZOHuAV?}LB_Z8?00pEwq(K^_q#Gm^rMr>tE@|lo$wPy5HyjT6Zv6e<8T}yR$Qjws zbH`fi+S~F$vGwb#R2@cY@@1#DU!o3Iuiu?{Rqhz^-OBgQo(YU#J^`2w2Kbr`X`l#Q zVGdIaq+2c}B-X0U*^>zOvBzM_5TRMBKN3HG5O#P^-FE$*jR6r&DNy&StQlk(i&Z(H z^Sb>n`~Nn$84lQLXU#ruXlxaG__vVXgOG!@~ET zrh^F;nsZWAIP;%7o~L+UZ9h7L!5k*l)F-KkKYMHb5pezs+-8uGZQFVlZ9+^ zUe2hwvxt2T=ZqmeQMgU=7o)Bn!IFJHrD%S))f~0aUoHz@K#U0N72b*1!rpRLGe%Dt z%xxU!mhCt{7FU>}D|mz}&iQv1FGn##v&Q@9qRNAs$7acmJ`s`^Vo~xiv=8}!D^_rV zsg6gD;D7k=6&cs+ofe%S*O#K%?0i?+4%J+=i9#mmEX-PjsGr3`lRCNTiYhr3&H5P^HSH6T2$s0swP%kw8;-_0dlP_VT+@uCK4ur3v*;;I2`?2W_)W6z1j=A{3P) ztAY0F9ay)~I42>WJ9>2P!EnR6Ohf>Ju_p5~mFdD~mPN`F?MB!El^?JIcGJ{_weN(e z#^U~R519{H%~6s%9QhNZr5o-0We|xe_6FGz* z+=$WlOEhyi>dh}ssv9E0vZl1$4CM)w^|urge5$3~+!086VFo2~U_&)Z&=36d^ajj| zB0BKTF@Y@D-?qFd0=^wEP=dr2xv^u2G+0PnyXw8|!+aAM95Z>|F!{2&1%El1{Ki|Y zDurdhm&eOVgeRuCso~Y>qO~( z4mqo;6JD{J7bFfOmMswyqzR=21HX6T)_1*$7i zGR(o+o8=m?mi=W7~_*l+PfzTla2$z z?sc@;RSCH2t4!w`y}$H@0JkMLn(~tF%na5t1J z4piuV)TF@`=dLo3mBt!emqE|AueQmeHvsO8YK>-ta?_@P>8XEPttPn`V-q7DZo5%x z_2X3HvJBP1D#tb%W3>0;=(g0U4CRh$E>z^}&tuJLf!RViQxR)wMC&O^K_?Hos9Jqc zlsXoYYfHu_3hKzUuSmiuy)V8SpFW`pJ20NAMvajcG793cKRoo79IU0gWHp*1VZ0vd z|6-A}SFy?HeNnUo^^mGV?K4Ky|8=4zbXtLl?U0&JIURy?N58~SbVn-&$5}?EcVg0K zjO<^_ieV+Z3yHviR+cjodJVCnlMGP(ZMc-8W-Rf9E3wMa9JpZ}i}}xryEZ{f^t$t> z2=>v9fWQ6ub5tTjj4-33!e!P-7A$%{Miem(3Zh|Mdd)I3)&ZrS=J=wPlbRtth5={Z zvu{SOC!;<%4zGZyHiF;B%N_hnlpQZC<}5O5ws4i6uq-8$hB_fPMEOO@k&)XgZDL}{ zPF)=d)MQ^QR~&Q-)ByLakO+D{#qZKy<%KaN(luyEdO!6T7~NhzE?X+Ub+-vYTbs}b0aVxyv7Od zsXr?$8=q^86!3Nu5Zr~9+aK>b*3>D!i33}ryEgP7gZ#oF)=(L>y14tNDs+}6qw>nJDRAqP>mRYAgIKUp($hE-@YKL=50I@SJ;;Uo4meR=oP;GMLN{Atjc`e-s{=ELq$g;(jezK)sXst`(SE1U~vcY10EZ%U-l+P27A9d;^ixh~JDpI97 znOlF#FJNbe5*D4KtGpQKi%>R{evNY$QrMu3AT6`@h6sWyjg8qSg5qku2<4uAiCwKUY`65t``wpyOGWWZj+rIlZENWY%Pv)+}_ zzrty5ZXUhNO}5F*$jDf1{H1FLeCJ1?v5r)g77TtEH68XUdT@SN>+R2iPz3K`(3&rxiLB$#OP=*odua{by|z8dQB>0vY3e)^-B zOanXA$l0%AU*(~5Kt}AABks$D4?ITkd8ERuhT=0W{oY$}{8S^J<>mtNRT9*_0kY}SVczF&vt}x` zw+M!NSgs&4c+K61-WRW@iZ!I6<=jc&XM^fhz$nts`XpSsQdP1BJqQUqx8yygMgsbW zJ30zuRdr&ASGn>8!Pbe91faskSv=OfgU9O|5wSXj^ZlxDZH_N2B?$7}o$l1R9%9#< zE+cY}j6@<-OAcCz$482hCiVId8)WbWCz{@=18ByRH9w=)QYvHOLsZT@^*nZjFd!#_ z)AA`i;Dh<4SG7wD8NP9TEejc0m3k$f(L{e1@#6iZ*u&<}%Z!>MH z?GLCF$~%Qaap^R&sfh-S+_ty$65RSB!_Z0x4W%YJZ3*iwn78P&66cF5i`W!AGJm`GZFPvMMJ^`Zq&d;f^U9btPCXilFvX^sdXS z{diA=W7i!{)ZN{}No`=)JKA&Fci-Y#rLR7(Nw=h6HP>FLrdy&W-;0LXVxS70jC-F9yAjr&pGS3Y|iImMgBBf8F6wmMfY(yF}ZLVH6{_vD7n2}>%L=bMg$s^OxEb0 zF{6$igUMl)wt90OFjX!-0l~HY(ng2bna$HXj$t5*lcc@OtKpMU5e+fy>o`TAet}AD z9jg=-6;-0zpNP&NJK!giaQTwP%jEPudp#u4(>KU9!~$2Mh+lEMvm*9$+&4Z>uFi@Z zMumA8EnYJuUD?jObCZ>Mmdr;KiWf+{r;T!+v{|WU*3ek zX+SVFD+^c%LB=U!^VA0oog~CP9}Hu#zuRP{Om7x7Ohw^;{3R9UbHD9*wu*0c%pd#x zz0K`GU6vz1D@bQuL`MB8w%NSO zd9x(x5Joh&8P7=B+PD14w6Q}R34P<~!(%)N8D``|-7PN`1QClh0ff9pu&Kfwao7E6 zZ+uM5Cj7C)9!KguzazKAek=0zK3`w~u6V_DX*Az%O87~If=<2(B<9-;bneFs--hsn zr?n=5@%APq*ae-jVp7!pS1tVbtIwIv7hnD_A(l(3`22~U>)$8d zH>+e4tFOa&4S(QHF$2NVQ@>f`QxeTXz{ah|H@AIL_}qFP!-W z1nN)v8M2NmO$IJEcv?X_`QXO=CMbR=ao%X8e!*PmW-kx&H;Z)1-&>Nu|0W`6+(n6! zi{+U(E8WeDV3_((sWIHA$vjM;n-lNUXlx#5Sd&= zP4tZ9B7T}>Cu0;sXQZ_&$OP6A%mzs`jR)MRS>eLLRU`MDc|K>9I7}UcJl+ssCCO0D zR6J8H$=y^rf!vTQfG`Q)Ar)&je|H^hv!g#xR;tv#^qQnhi@>3y z5}^+s!$bl$gXdm!?#NYVd6j2*?C9AJ=%)7B4o|>ps;eAt^3>ChoE+=1Nd60f0rt<< zKR_y#&|ypOhNKK~g8%*2l0YES|F88>H8!$uPuVtNYN6$Q2*8sq!XPRm-sU z?a14pW(-Ia?&AGB!$b1tqo;xg*VhZYwIylEafQxxCH0YSze|#H6-ak;SUwTV(i&#) zd7ecn*w4B?@>a@SP1xuodG@ypwq%Bg{xy(8j0u3In|d9RTTa0$4EM$3O0`C!)D|v% zaZu#OKh{ZQT}~s1E#u~q_QCT=`Z64H+00LmzF=jf;#!>KY@`98fGaa~Mx^Of)C;HzZ!z0I&i;!wbo(E*n4bRcs$|JZGK z7}iI5ff5e}b?ebuA<#5(IPFZBdoDOZE1dUd|Gx;+d}XWkQsx|vRW5$z3Y_E*b2h4f zJt=oCRBScZl>wLExdc{SD}X-!vA_6uRO4CScj#1;KNFbz<(@2|Y1EYOJU4zClGbGX zsUp5r>sq6BS8uiMvy1?bhr(`QL71nL1y4(S&|-_4So+-!B=;jSrLK%E?yhYWmuG zQ0Y*6wHoVRQzCKEh^Urvv6Zx930FYn7fjcw=zPmRaJBgEL+P$TU!e^ilYUS49VbxY z`MH@wpX)ew+v!|X!0gtakS)){$cBq8a1*$k5E>OoPk*p%#jUjeJDU{K@b~px zt(5e_@1S??&~u4ZFw>xp_e^;3)ynW|t?coap0w+7dew-_76r@}+Ud=3O`hDd>#5~Wx)1%Vcy3RhIAJyE5o*4(_m z;0NFfD>~(;DX2@JWi`y2TgkrJW{9~GQ+rivLcj~a1#0$c6yqbmuheeV8lhEIeeLcn zBi!$wwSl~HaL;^xX{~ZzA=T@1&bJzbA=3BCl}ZU82vF?bV=_!hQm_IWq9JRl5qWBs zaH94=V5bpt8rgCKMqhdE6cd_TT;Wvg z7cwO2ZjhLI`90ggt>OCVR^O8p*B#BlwA0}vtnXb2Jf7$DD{RRcZxF>%U2^*pN--G6 z3!_d7S!hgSoXtLxy*1aTvG|RD*fH<%gF$>HU=CT@NG+m zo|81+qqlgD7U=N6&~1KQqJv(zFQ!6QmUQmDr2``P%(A6#_34TGT#28e$bp>q(ZSGnv+2tHetmk5{@zFCRve*AijHFy;fSdHVsT>DuS{ zKE(ij zk7ml%SkQ+Pk8{7eNc=1Ydc%b=w#wM!aq;&?t!q_=zVdybh##WUAr0u2+&0>r3|dDk z*RAEu@&q5a^{QI+6vCpc>PV_aekC0{l$E?gQ985$gUYLvc)XIFHMPYxHlq_(ac9nn zf3=`#%{Hb_-2&yw^<%te&p4wbp;9>Dz{DOIS5a0uGBNSYt!L*yr02fa;dE z$x&Pq933|Q6&GWML3)4z9-H0#7DYOvmp0%x2zcj4osuMbHl)wB)B{~<|JR$*H`op_ zk4%#^)aYz}7DMPd*2?Uyt@%n6QT*PrH#tyk>Yr)m?pNR!L1CjD5j3$w(fw;uISxBG z(r#Ub8oIk*Cu>X$*dZ+a+cpo#2#7ehezu3Ga8N*kG4N=oyY2Ap#( z#4WFKsRZdQ0z{sn7Z^(hi=hN>UcZ2(i%6+)V49u)|MK)7fnM;|t8#wT!^152{#S6Ljlz8C3%=^#Adq@hFIJ6NJ+W!n zrio+GCk-uYx%veB%e6Cenyub~zz6EZnFeuVPlpehfj5`{dgEb>K>B4TZRYW6xbQGQ zy3K)cgr^lQN7D0nf-DnX*D=!jL>Jifab-IUTcsqRI&~lS$N!Uf+BC~Awv%}12T5I6 zLn}4_VW82pEX%o!u=RN76M{nC!_JY(Y`xv-MP--yJaCP|iZWpz}7IrvgS#w3pe-)jzD{ABi8gxp>Wsl~h3`k1w3hS@1G*ABY z%eD8OTW6ST-e)M{PPH7FS%C?=e zFY?bgdrUR7aXt2hB0&%WoChqmC3?EDHLwFtVEu3+%BGO-uJ|o#SoP&LR{J9W#c1C0M(&mV~M9t9f}^t zn>a?b43D+!LTjjYRenb8(YP&!7=YwLTPX(MOLoWe0 zVl4WY@1#|J9RxwI!{YN*=}$Ti7epxHgU60Df8?w+PVRa{VoAHI8Vh{eF<+YR)N5J% z7KK9nR74W#<#EMYkyuluEHu5pvcfiEv5hm)$`|l40~v(RACt_jFfjz>WNRpIN6&cr z-Z^S^?;3S{^j&}n#bBnwmd=H6>tq73ny&f>tTdKFjRdA^eT@3mQ1e@F>7A_d?w{=wW} z4wQWOdVI8WPUbOa{Z7IbhuB}hchp;@B_t&N4ZD4&Rmsh%7UQ{gATlMs3P0UE9nin4 zTx`r6H4j4Z2o*@ko+Ak5$%U3T*ed;}&?th%i^k}+J16(^AGfrxfL-4j7Lvf45{dg& zVpX}NGZQ}!gs?$vM($#`Vs!V`9CC^_wL!!dZMRflDwU#3uv=#C#JPGOb>BIf{Ea=l zwcJmnZ?3%r9M+6s6_zq8eKpONf$0x4ArrO{;8ReBtsePu2(`bD*XtXlO$n(cvEmtC zV@us*_oh!{yVQo+ec9(uM5ZQ;{i~oJ?2Wj9@6a!u# zzM9D=kh}=2DG))4Q0`L_{X_YgBw1rnslXvuGdfItbv4jF9;eGV#%2>)s0E8RtYh0O zr7Mx_mN#hbchb4n8HTZ>$w@ZHOA3~#6KOynp(eO`_fw3Mj_o<(96Lx+ClRfHDPwGE zzV~YJg>CUH$a%bbQ}j|sXr^gak0w1&ILEljKb#NDRJYRtTKII-aL+KuPgu|jNt%@h zD{t**MwwvET4{}tLbI9dAm`|jBDN64Wi(_H-x2oMh^=csWjYi~R~g_K1yH}@!&k(Vy)5l-vOvxjiFA!=YJW{NHgEAQg*^bseK1@T{h;`!ZC$OmAq2 zXQ}D^+$`tzQRM)05jG95(VANR)nLO&@zfb|Vkz-_A^eBs5%3xgiAwjK4%~yE0*~eV zyJ{MN#kLP$F|JAKB!*mPiY$B4t?rTqAM8?pZ*pRu#kQ_%1#z(%?j5<5ch&VIkl^bSulmEAxhv(xQ9uUYr(n$Ew z%jnY&e55ay7<$>hR-IYM5h}z&Csihmf);>;)Ge^+{|XK98y`0tw7XhWx5R?zrBd;; z;NpT}HFiC4BvjtSJ)-`QX15{1yJ>{~CHmt+kheQB2fFEl6Zm0&lfsV&H&mh~2r@Lr zLXym&7XkMhK)XqjyNyGpa;dC`o;$)Y%8e)8?ZNyTr2uMZG(*JjI)J-LzI=}1J%Y@8 zTO8h!EEamDB)XuL4XEDsVgN0O7QWUQ1 z!Cn8Wu>^ZkRrY@y%&iEXj$=;8mfX_k>z}yYCQ@@j_Z{X*sghRC^`c%Obg=U7_v%_= zj5EkgRa7Yan0YY7zV<~<*Twmc|DA8VApz2m^DkFD_qcS|ehhhJ`8F?g$UveszI)2x zg|y#!v%l4r43NYK$0y~%h+qd*QvOi;mOk2yJT`+RHb*$th&8oHHP;j^5+#n|MIS)Z ziL#YxoV{@)efKk}B00St4*HiVvBR^Um5kr4qe_tnG$1{O8wRV= zkXb|RNQ7LkzVh9-*J~V$Pr)$8()*+6W!&H*s%+YLuVvB-u`mMON)k@B`dJhrH2~UI zj*^rc;0DE&EWV{D&OI4j-`IH`Qga^&#F zHu2z}1&-dN(A%@;rU|_6y!TF9R^4GFLDrhKc(em*br~V?eML!g=W6VWAzqlPN2`kp z551ZNIA@wPrPixKFT2(Y4b{{w#m7tn#1jIJnZu%t>huLsQ_y16kV5qPF`q#$CMDD{xJMkf>A5+2-w(k3QHV=XtS7p~bJ-u`D zAtwoWfy970#lwPqMH0s`l6hC^$Biz!!VG%)y8ku%NZ2TPo{sP2lz%7aN{n%P?m}O* zoUBoPhbwd1kd3y7Ai5O5qV^PJNoEGU#~Ey+u$Ao(anX+afYSjC7Xm0Oj2azD&;3Vv zH?*4WBc%R2z+pfL3p428gNvFu{M~Hn-MhuiSVjf;K5*Jb)BBa*z^l1={s5-Xnj3m< zRd$sd;Ba0&9kbd~7#)u{H1bITp5y}Au!oqB{&nZ$Ocw;J(Z#KAV;Y5WSNC3 zbSf_T>C%d>M8=_pE&z)NW4(~k(@;vz@K}Ac%YBB(YGaH{OUnKAI4j6V8!y(p`Dinz z@RrHVJ0V2fm^?NMEJM_GuL*jQWtYG*MCeM4D7gmd{xCwB{m+uZr;m@I6_&;jkLZTk z9Z25^8^|gr(j;qDysBGl1YNtzzc?>TijUA>q6#5EhcZs}JriJmkYnAhwxyLv&4f+~ zbLAIqX5)33d+=K?yUd#`)(cGsrmIh2;0?%yDSUGTb|00+N!9HDjEmoL6zF~kVl9M} zvLxK03liX^7NLAHG1jVbc6#`+2o%US zgplwA-#NyC5QHN)$e(EBN>P%kNLkMyfFlLI9ts9OP+68Zeg`eSbH5r#&vh`aq|abV zR+nz|ps#BM7AYanWR;jGe7!n*I9fyYCi=t{>vf6Dyws@Yq zKUdq4R<-eGcC_y*?J@U7UQA4UU-WQn^vSce_Ud*|4bk06Nw-Jhss_9K+;V+LC2~^e zxPV{a)QpH8V>Ntr=`+q|b%|H@70WNMthsXts?$d1V@C{EWdVOviwGC&O+XG9_+KbD z0HaE}-$AW`oC{|$xyUlKPWCZROs`sM8f|PuJWI@$f{8|51>i(q1=n+vK}?0^1r8p? zhL~xO?u+%ji8@xDv_iUsTS&#dh&5}*!%fq?Fc5HHl!qm9#GvFUrW zKD}?8yR*jFwqvLmbY`Xx_*v@T&ovx0>}u58n{eL!Zvbd^vCCVI)3%|&D}uCfxg5;r zi@|P0js8--?}xZ-%%f$B(&~%XFhuZN~;^1p4K^v zSE96FrZr!a?G)eP*21`Gq9A6XH1yJ7R0An$^Bzv`yZN6)D_}YlbzZDjUAoaghIjGcrGo~h1`W7XLIQmyuNkFq~ znrtbche(XP{rA zd%4KC@!<)g(}8ZRWx-4w)dh4rv_4xgpm!I=9veSkla8;(HK)$e%L^Oh&u=xIQ=PC5 z;lC3(Ik_jVJLe2~v&W4&EOh3&D?|xL*ehfiid~sqo)eE2;Q&Zx&ATsTC^*lD_$d@P z*8YrCTXN3fB9o!3DFaq4;=G4#vsumzLd!)>S%r=6y3{$yM#O>0=g{JCp<2;{YDF08 zvgG9=1lGJ09x!Jj8ilmMJn+^tzqvUbak$>EvmLE{*paLpyK=T%uKYOmx5GWLKi&0w$e1WDP&KN)TUB!PY6|lM5cI4j1zps5U&dztS=l_kG zL4na!g-_4b{IRn6JFTqIro^^1&N4_v`9_0XW0>(ob}7^R%3PM}QNsOi2BdfI9}xYu<}(~$GG7f~MR8oeKLql6~0TzEGx7ue)h zUs-8p!AB(Nj=jj1VC_H1bP<+lQ6}Cay>mSF3I|sfoy@C*N6F=79*$2Scd&lzTCJ{e zIhssv=@CLE>Ce`6?m<&^0v9aPyS|ks!nLd9i;Yo7QGo(2!ONczy#B2Ah_h|U<>;eT z=&S=N3#`%(S~xj2_w)~S7jk)P<=AmfWJAi`V-?>pypB|IDv6NpL~9R#JmR_7hym6R zV3G015Q?df_x9bmkmo+j*?J`#-M>LFm@mVxP98lH%@hzE2*;`SRGOR)vT#$znS^TP z7NW^@>dYn)@qXN3mfiZit#?6`BSK2Iw0MdwopPet;)p#W2*+x@YUBB)8TF9IO2Xlc zHE9wH5i6!A9C6AFFSV42inCAz({tQLe|%m0v@umq6jbe{ZCH?T2#f?09S0!!J>50? zJl196-3;z(eXi2oy9WcTP8aV|>@S}1YN5|jG6I*Z6?j8x#x`h;|I9R?&klH--$S(o zTe^VfkM7A%pQn8Rrz0TQ#;@_fPvr5Jd7$wN?7U$dCXH$kyVEuMdUMYKrn--FR~gp}YlTInEAg#2CRB=gc3m%1?EC4etE;W1oN44! zdN+k&d@Xn9Wr#;RMP(;hWVhcGyicP4a{?eG@LKU;B-um4neQwe7c4E)+nrWq4}jBe z8*DB1zdbKdgVf!Sspgp<2z|1>Aaap>sJP?PNo)C-`y={3C!edE78rO=R$<1~;i^C3^$JlI2G3@N&y!s)Lx|*U6Or5=l68`=go+_;!U0OKV zNI!QD{mXkggD<#H^|lUZPVS( z0Ex$nMJKUZ|7glBW>+<%j(U3Id1ggHFpIu$co&-f=7`VbtFo38_9AuWER8qh0l!(v zvBNj#vyUiYR=!n#7UAh3JmlXqX zf<`Jmp?_1L6$E`Ef`f#kkL2q6a}D|a!kKYk<>+;IhAQK6G?{1eb1y^<5XZ}T8z5pL z>ve#J!1Eg)!y9Xv|1lf1tya_ki@KREa*m3$icMCd^-^=u6^`nh=)kFBN*01Eb2G;$ zMThE{9&5|E#?soDS~Gw@9`S8-arPT-8bh3c-(%(cb5?XjiYIBde}UoJ^D7w&qjqqJ zY0VdPyt7M~LMVZnMF0*UcX}0|gRNe(bGoFqgXkr%Nwd^mQQR?z5?PhL1sefCv@L?3 zk0vv-d!=_=E=vfh9gbUn?cqeH-Ux)f9N_Gr>gV0mkD7YFzcWj?9IHopw2 z>YPA~=QDW!Rypr$J$m5BJRoCsz5^3!l^m}X6jyVhE@r(sHaiwyT}XD`!q{^5PQOE-8wH`|$YfC0334u`jRX=fbD{4xQ`8r6Tlj z^KG^|uM)Sqg&9iSmJZIka)IxgfeVazWB)%D-BCLFNegc?c)(mO=$}{<2*EV-oe?-4X zA6@EyHx zKOGhbpR;KUH3QU8MV$2>p$j(W1*g+7R3c*Hde8&&Zl*Xq+S=V+owY0jdnB8J|FX_s zED};0V6^ZV+@+6RpSXVBy}KS9^I)ZE{ino>|QfAq}pd@2!G#0xw^FBN8age zHLK@oi}GEM4^!WplJ|_^tBXUK+zg(?S+JQ*UH*G+CL%>jd&gl-lFYhp8N=1+7kuuR zMA~(Fen}`)Bf@7y#Okm~9iQK*Rf!M>o#uFxJVRp%#LaYGf9?A-c5e-B?u6mf9%Q|Z z+pi-(DGKx@$G`_sXm0W|)7RB>SV$>IZ8}^I2D6+gEdUqtbM@k4E_MVt6}@{#+H_df zX;fO65YkAsT4-v2lFw}@Pg_dd53Whfk)MeRT}_yd3p63j_(E}fL-nde?!|Y~M4dE1 z2#qJZCO+Q4_`vKIn@Kx;{qwas*_2ezQK>siPXu7%VhG+yV(@NZ(a0|b%JRQwPX4Pd z+zKr6;J?)D_ryS{8qQ#j$&CQe^iD5xtP^lWi68TeQhZy|phl$n~ zUluBA;oldY=!o-*=s3#cA`~oGJGO%3tXK%rz^V~@TUSS&LzOIbx^vUBEh%}i;P4C+ z0;i{paBT_SM84F+`rujkU5n-6dWmFDY!LTH=;?O0B9So!1g5uUnlv`~J_)&PC-|gd z&(iyCKyB> zoQ8eI5WYjyi2Go)NGBrM1k7~(BIHHkI%*9Dno%*zh6FULd3)lUy%nQ%(sajy;c02l z8TF2yl|k+q(e&KHl$rhCaH@ zI8*jEEseD0B({vzcCiUq!A~Fd`wzRURWZtnE}VsM@3Yq%Bk5$Jz(hMzHNf0B;eqd> z1&oEDZjg8$wb73?sIH93u&jf7Z0Gl^Q@t)`JRh zk5}ZQI4*8E>x8{uBi8FZLfAfC8*5AyypyECfQG*(8dA*m_{^uk4A%|~!FP%BbZs5^ z6ZJ=`<&Znb;PV6_vSKfuW|gs*<8Axq;?D>cHm`fS26xdcLO)|<2Z+F9pTe*i$Q)*t%t|M7)X`F-Xokg_q&z>hgI1wLM!38lN1TuBt)BBH)-vaIL4-~CjY&R-f@6`q`X&ppv(lpT}(6xsDA-Dh+3`c76T znPy`)7+*#z2-@NY~VV9=|n6l7yEa^xH!+ca6C}aEVZPJ7It_w+UQ$LfYdC z*5e}e(w}8!f#}c(^Q^_qMP2KYWzc(Zz~&t=d%$YM)VhZiy#>~M zSaH~LO&RbT<^^na1ON6V|B}y0v99NuHa>eaAkX$Q?a0jrj`*U9q%m|hZ&3xLgXSV$ z3Zf;n-gsxf0DaN==PM!nu^G-QFkhY?mRm)`JkPN1ZiMeYt|om)s#-apjCn?F`l>-7 zH%H%f(md!HBJoqVjk|cdmrY5#E=xZ6;_}n(EXw!}@6%df)XH9o;H#+|zKBZ#jf(@7 zDpkADy4f=X_Ct=l8K0EpW;YZ1u0JO&Lm5kbS5JH;K+_V~HnsvbsqpxZS z20g|xU#Ug;6eI&)RKuS;)^bIUZ+qGzj|l^t%_wzkBo*1na15?}~!h#}AsE^;ZO zu{nXJ#eN!F0^HOF+xD<;52m%dzQ2oDA6WX$1rsR>JoEZ>g{K_jdq5cyi`)5Akw}rLOz+41S!PZ^3 z$Y4i2{m?9eHMix56bS^aHOhmOKwCc7qCb?5o(LRcORy zGHHMr{Q+8{DaRe%4U@S!bZPZ9l74zUHJ%{LYOld?oIo7By1pa_kov@Xf7g5Ng7!g4 zsYK3|=bzYnyH%x@H6ss#ByOi0%~Ct{_jlKTtv96oXK85!jL7Te5ce~4=El8BU`J7J zIeFR8*qC*E4%Jt1aBu*NL&?vlLp%-u)f72YsB!#2#{e-R>>fLAO99~O`#Z=nvIe}( ze2-vDKEhxT#6z3%S>(Tf5jH5$u2TG+P>{;o!(#0sVz-4cB>e)-Y1fG7pq@2>#U3%ZyQXAdvoju zg$((h^HT#Wz_w=duVi&neMv0UPV)}Vgo^vpkYw&pMGH3iuty`pmqdX&6&qI;*Rm_+ zDzGQ}NVZNGsa#13M#n|h_~I}1;h8>`i7JB?PMt|b2UVJkHmPr`iH$JR<_;_QWMMs5DCuUf zkZnPf5QI&mTQGvkAW+l=p;L=Bt&#*Tq~13y7NtlJEszqxhQuI2 zyVEfc%mJ#X`F=n`wbqP*=u^)I*3^O>wsh{t+XgPj(BfNx5ttY0ufxOn^W^k$n2iwu zTXF2gKh_Sx++`ptv(2q{CK%dbmLH-7thoTn_BB1oB{S_5VMf2i6P)r~eYQ=^2x8@&F zuy82+${W;k%%p2#rqv8Tx-IkvyLHdqNJzppiz{C9C-6A|kGcQuw5@#4YuTPtPe2V) zH_F|{MY2_agPha6y4F;J$N#F{`}<8+)B2&LU`l2us8D@8k@MVR)yYdr@8 zYgi(<zB8L-b$QWkC&ybBlft*S4gk^*55(HXVx-5pmy#H&M&PJyaGJqC*fL z@uVtdp0e`l4k7HIj@Q8n1;9TiP-UjT;}goWsPS4E_zL3)8=&2F0uy)#D3Frs;R;ot*#ifhb}i!Bd3@x-9N&c^j@zf#AOaU@LYde;9EJnWtFpDwPv_T7V-;kcHs}xbt78DM8X{L@oyw^3l-_}LDmM8 zra2B7_4A{mR>6B3LfetPj>|!0vr(+2CZ0!@ocG^FgnCx*ed913Gnw-h!B2G@Ewo=J;~7OvG~Dr9UGOz^XiW8utk+r2^_=R^&N z+E^(S9hqI9ci6ODs=k%w?^0;-Ky=6rGZm9y04gHDkAb@|0bJfxmUMs%-z(y;wH$~W zJp6iY`rpk$08|6?a<+tFAk_D*Jp-gvpi{y{f}=KHXTO!+TIBux-AT}DPv*F>Rk*FH ztjYHfzQjauLubE>v$A3B*}qcVxRL z>lDXsH?3}uc%}1o%3>6ZK!`%X%i0VodL&;I6_UU!m(N(25ZC(!Mz?iBB9eFhuOD0n zW)f)oOwX%1sVrn^B*9{2wUi$})jqc2B{dHoyFcV&b58R#=#KV2@T zwdZx=Z{iY6yapH@QPb(@+;gT#_b*p+hQ%YQKUhVEzwi(zBvQWq(Z5Hy9w zXtCnjV$yT?Qa*MZUQ-krEBX8GNw-95k@JkutFd*zqkn zF6lwEH*P}j6()P1q1IaCV0Nh!-j!wL1P{K&9EfM8L_vuCm^f0g+?B`ssg)4j);2e* zCK4EpLW6lxK|vdh>#LSBx?G`^-}u8fZf-3N#-N9URl4-Ja015rW-F@ooGLf_KuSQT z=a1i<%qh}rZi%PW*BkU7Y3j~gw{#n6tC}|P#D8Ty1UT1*u9mo9-2hCuV*o@@z$P!M zGdam`^X6?}>}0ORhk*Q}V+2G5iZ`y*kR{CV8&whAzSB2xp0d&3f2o%iJy+rGnDn-! znmnX?LRTUCI_ig9$GliKL*D9>7vF{aw;{kw%ud~wyZ%84guUupH7UUT zsWIrVsjzu`!x0YkpaWOf2Hq9vXUz<6@9g}ST9AonUI)llkOs^tSXueO(tSFCX8sRP z*~D}udU$tzxLM|NYso1DFd2N8%l=>mE*d6A3GTen#Si5vdA&&T0I$rIO~iTl6Sy%n z$@<;Al>NnHe23p_Mg`veqP<_BQ$k%{Eca1P{sX&$av+|Cu|42?Is)|`IAtLHjV8^d zKWB92?YXzi@+WF5AIABWG05WcWx=&Q_-!aqb1qwiSGJlVkY)_uwfuwx5)f6ZkqY<^ z3s|>}Mf|>;Q!ahWeXG9_(H9xbMeDk)3%^g@_P41aH+g2;`=t4BEhCvInAgsmT(bOe zrQN<5wh|rhjl~eMQ5}cdk2E8x_nv_dkA`Zk;-Lkw^0|D8hyu3t^-Y%{vo;!$T1)K| zw>?gI;ZM-~7P&09JV`n!%!|{jQw4DS0G%`zJ#>i3^!+!s!E&duZ}x?%=f+ryCkWrE z!$IH>+?e%3?cAsj^9TrTfZn^aM89L^&_(GYd-r=G(Bh!2;&W3I_F6H1%p9gTg_*VWi;_}(L>pF zj#8i`x7S*S@m>kW+F!P?ed+G*MnJk7>F&7u{r%59bI!dpGC1QXBkbqdd#~?WpVd8w4?``K zE|N1gHTy>-hy+x#PmIk8xl5oG>k(_)EBN$)?banM3DBmB$|~l%SP{sYz#bBeL{=mq z$1DANKt2;tqE%1(K0!cCj&%J5Qjn|!ZOhZ-zqR&8E`aQxih?#HEwtRP2e zx<2*Qz?o81^mp)TT>!Tarb^Cj` zDCzuqz$JqrYGnThN`^F1#^F}0fVo^wUTtX`)r;|v{Gk{vna`YG9fxa= zR|`BRSUHFfw3>IcGkWA9%~$CG?ylhd1MFI zfCPWs8;zt}&pcC^eEFSLYqE2o z`eA6!iWL}Bi9bvzC4l?8&&!13!_EFgl|K`io)goePOLUdZyH&$1gE#mmU#V8fUkU* zwVb>Khs{Z5Fo-?~i?oZ9v4OZk{$+r<5E;&RCSz(x~clw!!63D~^v z(%6)gB<9getdw>O=n#9E%l9j6@?UaJAW3Oa37p6dccSd_S*DO91b-nG`U0h0k8h&< zFns0-Wa(e3`h@8QM$QZ*fz_y?oOPRX`^Qdnon5SwOS}E=s0Oiozi?X1LI5ef8W5TD zzEXZAq;!4mAJhAv_avnaVzV!fl+*a@g&8JFC`(b4-qX2Tn!s}k$u*i= zz8@&oZtoNUPW3<3-;0$7dXP2Y%}=v?`!gq_u%sb`;8Avd`65S=+7?J&BI|j1d2|Uo zEobRRuz9!0I!#HPkL`NTq&r3+>+K9M^t`X#rg5 zpWW|>@~;6ehsja%RmuNMQ2OZ8-EAI!sn}gfwCeT;sF=4*@s@=h{xEW=4l~*fYQ`$D zpaX{Tlpp&d=q2t6Y%e61PQ`!A6{B(3ZgD!WhZkHavZemv%kqCe!W%(x=$4_9sVW~E zlDIp3yzj{{v9Q#)!P~>6FP|?h2QE7XZ)b@mbhP^m{4KIE`U=EZduG?$phyH0k0ndr zR&I(^%Mw0oYe}8Z3Gq-ES01@v8jkwro7X#YcUDMB^Eog#Mp$juKB-E2H^hW&!#^Kw zs)*UfDAMcM_%O6&#VRFEr(n)HPa`jeUNX~nKdn5*o#Z|-E!DZQlAO))FG{?wrW(HX z=h(dk&**w$?Nii}5yPL^sW3B41ho%jezL(%0tg;D>7@ZW;!tMf-_ggEgCe^Nj<}(O zHgPXWUkc2CX`#;0>2AygFC>={c~}KbA2{Ni83mVE`aXGD4iX=7$xRleNN}1R6;JC3T+b+>2gN6tVE3es zpM3F@iHk_2`NJIrY|-0oS83Wu3TF8rJ}^!eT7R_E8pzfjFTsgdnijXMik_g9z)gg3 zL?Pf~mRtwMT^i@AO!6lpYslhLY*ojmdz3;N+@+AfmYDBCa4D%~!zQXt=1lfWF7do) z&3aZK8P;njDcBp}RhFqS1eb{(p7zlNTR zetB_Wdr&;w-xqBo$G2&wJGd!Dw;$8(CMr^hSn%bNe% zyeL{lDtTq!zAgHvH8ij!d~P_^w0T9kC=!u$>17vFA?%xgil(}Gt3bCK5E@U4=k z*opCn(JCbJBc_Oc778IK#?eR6fU@Wd`{Ra9oD;~ShSzeO+B)ZP*DPxl>29-Pig)LE zFrMbknDU{kIobOmolh+`g~t!yG0;m^bG!GFI2yvC>)gqV4S082T#2y%Yc?3>bZp|N z)_J`6R~wb}oIJvEtBSX*)?7rH~Z# zA?)J)B&cTlvMA~gPqW-dE}R8E-uw!+iy7_{+;4c#>4iTCeQ>|(ju;rl-X{#9{7I=V zyF7jB)ACcb3?t+_;af^!H%g-B_RJe6S$+<$dsW>!_Td@vxep zIW~WFtLk^jEFZ`qg+{t_Vmz&Q9~Y7+?%{8mr`HHX=o5(&Z4(;V(UVm`qX#S!Ah*uk%RTEWIdFw@V``54EH z<{(Uqkd45AV8-fUj!eLh@TN0~P+lK&t?HhwV78Ra9IbRFRk-3s{EoKAJB^SUDYv!M zP?{$Hm#jgOEA%${Z+Zds0!PT3PE}74UTLlj6k>@joI-X?++y7g?wP&sofK}=ybRFE z0?XO)QbTc~pxiGx_MGBo5jHvT!^Irvx?ei0FfI3prt7+=9SFc{d_(K(&up}IKR`1P<_rh34bX{CHG#-Ji5g2yTcC`LJgAvm~ z1DRLnOi}^b9pHWTgY1Ca>CHWRu}Nw3Ik-vtxb&xEQfv5eu`dqy^e@qa2odf zI~Z;o>CTq9c~z`;<7r`fWM(k8(0?v{lvP%_7auU)(jm z_Pf}I86}J95r*e9utzhBO<7=zBusq@U{ZNl$9Ky7?3-p`kPIQTJHVVS?{9pUE07UU z!=vEFg^68U;c6OW>4!Bb<22$fd{#G zRRQW67lPm2B(dc9%(1~x+*KUjBt;<68Bd5whE#t|by7%FfU=!7>l z(?pG<&MU!PuP@E33ZQ(BD2clm*wq_ch9%x*6*h~FI99ymnTL=zZOm2B772ZnL_3xr zSBB3f>po@TpSOaB#gm$O>IrosLO;WSr*QN=LPu2=yJ3~Q!Qz%))67cObW^lQwzQ*V zP_ieUnn1?-jJbz+!3x>~E(y91WpOLA0QT3uKc=5Pi<9H>D<{N5<4f%RW z>fe1!Z$RuB!uqo~tP4exqmAie6v%%5;)QJCR}+elp(_PXM_sWLXGgB?%=t#&D z$ASfpkr4t{LIfZzMFs0wH>S{sJv}fQH7tPttnOk;qaMH>Tn059ULM&GgNB?8arK|1 z4Oa10&tR~2ptZ-)weAQrtc6>9tP34wkn5dp^rzYOV0m0tX2JvTM7*ZMnDFdr4d`y) zJ}uOF2>C^H@#0d(b5{Y@#H!u`hOuZNz`X8Kt75;?lxTOii&JNC5zgv!(yAFHUy<7s zLAUAnY-1m;`G94|ELA|GBvig7^wI+(?^kPl-WU&B&PT-uCi5lAPu6keJ?O6n_RL;R zQh25tY|eOJM&t55xjc0KPXF}6iQkY9@qN-DiF47$VJokY>rVNRyHOp)sBWO5QL#h& zYD2n#+*x*)c6>@M=dWCw(?z5!Yl?}VpU7~wa)|<-g)Ck%QJ;wmAyz0>A~r7{folV zo(IHJ$clA`5!DN4JLolD^ACh;?eVFuHk-ysKl3a5!uqw&9nk+BQvR8Y&M!`yR``2H$ z#4VRCUaD%4WLVvq|+y)2>7UMQFD^ z8X{a_i6(&{si&V@uqzL_82u0*N5KT7)G8ZGoZeunY3!nfKcg9ECUClN#xdugxY@sb zjCRHgsmDF&=4oEU3yUi}e;;l;n8{%Bd+j9R=?d$fG3)PA|In;G#Vy?!Pb8ps-yk{} z4Ghix6@6{$^4xJbf9m)*o83n{dcej|w=yP9f>z3qZYK#r&?J%&xQj0(3p2?CHY(=V zOAN$mCtZVH_SR5tXxf1{O@*x`S($o*zZEn^bDoun4sD*55s3wD+VC{6At5=ckWoE@ zB(^{`S}7Vr6r6?0k7VXT{i#&_>bLvzuPAGxMAaf~ZL;87DU#f*>+Cdd|KW&lQ_<_Z z+1j8l$zy~pQ)1T~FMiIXMsXuTumEyEiT+YAjNtc1oB5(a(VXrPJPQFD1g+PHG0gOu z$Y7F7L!@A)``c~aNLSVQXnv*@Qs+-qS|(`iXS7yfyWkkoDZ((!Dt-2K0I_XI@8BN44<$dTh`r9Snu=$ zL}(Pv@g4cwtd7!m1hdC@$j)WV!Gtu-euOg+Tp;z+{+<=6G(#kKM~PrV-={0@r$jme zz;Tf&?D@D-H6cwB^7r$e)Wk+sDE)YFAU9?x1_MkC>fa59k%*Q6&GMT)udR&Cdtlxp zhnf7I?M)T0r!L=<>i}jOxf=$^4+r>YtR-pbbg!Q2^ekFDwQE^e8<#cwv(4NSMP?79 zHRC#UIM7dhmylZm91dt`!6-z;9WxXmf<7~%kdru_Ww{;WRyBsTm3oF> zJG<0H+bwEAeuF``!hA`bke(2(NY}4h zfBBC+GXJWd>N>29DI6BBCR**a}MUGW_I(O?3T zjFDB@#I%U-&}*K#zn;CuDB7M57Z8HaN0V4nC_3L0XQ_TuBDns``2B{3i_?4=YroYZ zQ<`DQQe_;{`(qe~v4eW?Kp5hR5oUZFZQ%8dp^nfj z4smYzigXko0c~;HgIu^=fe7xbGY)L1opB!K zd}i^S!X>|ua$QiD02s++PJ46{z`*o)NMnI22bf*KVQYWsyfVAyJav67I)^DgY)@s@ zA8(;gI#~uryyO99#JOMIA`-pk_0wD(y*JAU$9HqyRZGC4cD6jo(Ab~xt z&O?tdKpa(?lYRA!%NSv|Y1G3nM4AV9D_l{f?YhwX1ImD`L>M)t&s5Rc~? zLp(Q2SVi=XC&%}^y6tc?jwEONdWJ4x$PXlcc?mizRO@O6R$3?sc@%i%Bdvq=_D^`Z4~z&4B%)tea|fns5@KrN+`i5zkOd} z`VlcpgmJ8M+BD-zGF@?PWs$=E&!NK3znROPkKtSYD$F{$9`6UA3?5Ej|2z2B>xirW zs|sh3xtvz%&J>fhI);fbwu+0aMGQKgyGDyFgF>ONy%4kZN#ci6iCkZO)hDI5dp7kV zC?a(c;dtE~a*~G0GaUkbc{2tzF5(scUP2)<^8$V!oawdti9*qNj0vPBhPrrqYXE>E z4R{dQ{nG@UMT4QST*++3LjgZNczK?{@3$=L4b3_-TrM4AZ~~d$&9qR zezGA^D=rO#QNE{t1FU!q1LG$=%O-+Pj2Q$xTQ_pJXhPI@)>ZN*gJS+Q8D1>sy7%d9w2BdKsQxUKXutn6l_wo!{zPcWQq&?KE0O z@?3AsGy_$=Zvv3!`R-TW+XMRS8PH>%9aoonhC4U!X$=7bNLJuw6X?Hq;`9cV*vd@> z8Qyr|P;{#^H;?7*^9h;J1a2-aj=TLz3b!j(nKldUGi+&&)t9gax@R^(U4=y|?D~iT zEhpS8=Z*Vg$Z);yPo9CsxDk$ZB(K|vOzCq_uZ2BqkTk^^XqIlz;T8G0%+?awA|RpM z*c8hmkbo>G!&isPB17r0`9$v0v%e!4KfoBLTq+Q2@hpkOOl3=YEPV;J}PXD`zlEfeE;j{DzajT&jqqh^z$wOiO3Y3l?$=$?K zwo!W7XRY-J?&$WjS4E3v7<(!lNq8E(;*d28?gQBkhTnBbwKfM;zhBItYh5*1&YfA} z9qSzD5uOXBM>KIN*EPmy9NE=}L?(E$j?&3PIv7`?UmxnvK0E=Ag>=Y`<|#ZKbi4v2 zYsm7jpnvJx5Cwb~hp1Udh=NFzf~ov+vI`M^1hbNsn|+Y@YKfr#vOMe!yif}v@hgpS z1jTS8`U+d(P|64;NJdb(QDuP|0w+DZMD7L~4YL8!b!WJ9#k7xF+}rxzMH4X1LV7V+ zRYoU4wnb*AJ>s}S`RU)@p{@NnaM&kuq)DsmRrf195zgWM*M-bXzR@_>(+fTheRDH$u7;4W#zDiZ2v!rH1k>sIo; zphF6kWCEf|qSmTc^>=JQ=%pllBk2MCC+lCy8MBfd67=PLs3&o0g*gj^A!aVmCvRPd zO4ZMH2=EQ6&?~MU1DP#Gc$OYVt_`Dp>t7&Pt-$g zCG}&ggbb}`BM9wSc#3>47HBl1;0qmw|W0Vgyzk&tv<%7JgK2rzDjp)CJ6dk zRC8T}JD0K!fw4QzAU8#4+$^MH?-Z@lVkq3iI^gAPlM^ ztsr6IlHI&oZV4V~Vc$Azwu;|NIS4hVuXB1gJs@W@ze9aFu8=a6GyajhT1pSnE2;HV z)W4H4{`D&E-6fwskr*Z(Ez7u$v4ezvIo+q8S2TZV@byqo;h9>b#m7yZOpzwqhB@n8 zU(Z)lIim0ETI3g&`i?9)x#c;IPeF6vhi64q&bmL6US{yW`QCt0u2(kDCYDY|g8WJZ z2Px9^T2FFO1uFJLB`0&XAjj~YiM@(RBVi4yqG(aW@1F)_GaJ0nh^)blLpaYxcyecq zcueJ=H!^sX<3zB_R!4mwf!87#D2n@->F%(^??J zBbnXvl{L@J$M}l)K3-yp-dHt3l^<@g^HoAFYP+I*Qo*qUUi^6C;A~am zspPJ?Nsgw$1c`H*QBDXMiMGRiq3PaE%1*6xWvqS*`Q3ga|B>5M;Pvv6W}B*GP(%%! zBSVfN0)haAcsWbTG&wlvot*Qq#->aumPy2(Df&AQL&FQ>l)ZoVrtFFD87s8Y$L^ud zvTI2b437LmS7VTV*+f|kjWEcfB#$uYP(=w~()+mnng|>k>bK;eY?$;avrR^Eg8##4_ipY4;9BPM{L2xl19AGV)BGkmvkKw?E|A!-`V|l za4Vyn#!fq5d(mS>5u$&Q_LB_HdfZ`)e!(Cse+Ur{B(>K1vH=cl9^W;nl}-owH6B2M z2w0aEBv)JYZR+kS78$*_U&+4GLw}3uX;nl&y!J@NqBl;uR>S@{`B_xlT*I}%bS={DDfR^k$sg6kmn68Bi3V7BYPf0-z8PC!BD_?HuV4US<*zc*^Y zhNL9HJ0A`5eVJ?)Q-*^u#6O^{&o^a&w4cr6&9=!PB0B9#C&A+}&_uTQ%Rn;F2JA|w z=|>)~zk>*2=KcLP|2AlQykjr506UbX_rt|?OJp3V=)tfD{&wAzE%s8trZ&y602U?n zZOc5z-G+m7f6#aF&=svaS*=8Wv+$nWjRPn*vu)o?THZC>I-L3fqHq%m)s_|d$iDvS zP)RU;$QIRcKtXxeqO_8Q=ieCP8$kig5&{jli;Ly!%g zk{V7gvBWYQ8KGLhY@9#o_qJ#ILIp2;8@BD|JtOVf@XvM*DfLpMu#RlIc_z9X!iol_ zYLv{ish_Ga&K#WMl9Zw4|DxyXJIiPGR%1Syd7D;b2f5Q4ulsZV#b|`O*phER zxzuB*)sz29BmSb+UKc~@Vba4z^JkJP+Gu2id<$gK%W3(u8c5{G@Kdvxg;CM?%*J29 z{qyU?N{XY0w!of#7t;0J<*MlTLHv#HyxTxf2iPWC%QVFv3(kCnXjRfRYh@Lj0?3M6 zr%7iUqgD4w{INivBxVsiTuoRURx$j3`SiD;l*VVn_P%=RlC$>K_?Fjxv3YH2oPhR; z-d+(yfwjWnr?q%*HnN0ywnc;pU$Y^BB$fUqJsq-u2uHR6P#wO$j66m3IP7gc@PtB@ z?z5~mmWUG-uJhb7$vd5(VG-@W*v=)CVZW+0~I8997yTyKJXr( zM0gdZ06cSEbi_#1a>6?Dx@x5OPYMt@<1rXcVbcT%?Pm+1#Bsr4LJBsaM&qRgn+2%L z0$wNBCz&6N$7;2wAMzx3b5#3Qx!wglud$*U>t%c{j)|>CmuHmB5&SIQOUKZVO3i+o zVWlrSVm5D?1nZUL?g5Dk<;o2a{4|-}%W@P1Dilg0vD~?2)!)mnC(%QJln=IXm&vCTZ(b9)exj#HF*erQQ zxiHCuoq%N+-F8$qG8Z+I^*P#LPHutn@Ez+1nYU!C-N}9w6|93rc{SA$?BX4WB=O%d zM5uqzhh-V6p@_(lZ@}y2nCrfX&r`ed7^r^Lxyg0FtB}NG%|&oKL$R}asJB&gqBD{p zzvhbH>HBbg;lOHjPXFRqq$tP+4&FaWmW!%E;h=f9L z9qxC&wA+#El{#m2Z70kz96n~$dD!N^QOo{Xr~CZ;;;VZj>OPX7xI_3WMQQ{h*K0QG z0DF|{1JI?#Q zV7`x_(dSn&9uSL-!Eyk_>kpZGxrBJ0=L`!T)Pvflp^2gVuv4Y4Cr=jmlBieYE?Qz`D)B4ubVu%F3@1 z3uXz6ovUfl24!2{M(FqN*Pq>-Z;u$B#zE&<-_1L5{HwOsUH#@x|VW zV_{k`%0t1)SJ51KU~)s=f^-l+K1CFK4R9FVZ6 zs2@*=K`x+$BCJ+zneYvx`#Si~l<7-F3ox4WEjRa#hNMT^g^$60f#0OB+J&!{V+$H6 z1&B~1Aw`zAcqb|0ymE1w6nRy^WLpwgv!v#+nr3Zx>AI|Y6Pr_PMUgGv(w3X#M6Q z3q+UCUC*VLYDSrdCj`a%Z&&qNoYuoN`8dQpFD;X}lyVn2BVtZ+6rs-9*=4rb4U3cT zpt|fm-|z9`97SCEqKCrkH*sYh4exFx^wRYj)w2OIY5~^X{91m*`oP|vu%)uqm&q`ZH zT`J}A^>~dHcwsV+HRjKXJT5=odEXxg@^1jU=<5}n6N2= zsj!1EtVHb$))Y|cby0}c912^7t{G)+7v_&gPmk6Mo?K)gs{g-NXG;2u($$k@#Fn9b zDDOu*PP-CFQf15r9gBE$Y(XXJ3&A(;HSsy?P{n#xG1B7*=hn#V2-kl0T3W1tuNv;$ zH3n$HOvt18mBruV#4mCz2kfD&qVi*AJ>+I032`w3e2J4L^cu~y4|ZKmAcK%=WefCE)Sbw+?VH-2&m zLKXe{0;;agmcOoQ+@VcNDu-(n>>@CbaHoW9g(-Y3Cxl7ePKU5&j0!FQ>3;e&`6RM>M7BYC55N>JE)mg4&yPEXES$ei7mGZ%QTGsIT!gP{RxkpO)-X z$i&D2_0ed4L|!OsuFo$5M*oQU%d~EjUTh>t4JKHL$oZ|-oa8xs=w{{jBEnITJ#=<@ ztOEz5_v_cuuL+7`_8S`798;OKF*{~J`wG4X%H{0ql7_e6TJg~7d_1)K-6OJ5FB%%# zD=4qdWtZHSjU9`P!b=O47Dt3~*}2^B%Erw#!JFoo6`)5bdpg*3gP8o;`jLImg$mqAO_yH)52}!@B#JQU zs>*Pv-ZS~!4YIYLR>^e{!XwrF+qiQfuH??njLoHiBQ?a;4ZV5oOg#gR)YYU$MJ4h* zFe&)`@k110P=#U{hxir=+A}3#>k-GkZOgatiSkS`GAcNTCKtBA={DTG%oED}tvPtd z)=N5Tj0ekK;DOBx(9W)&Z4>Q>+QN))PbNzW%z<#DH)TyU|A&X8Mu{WO3$>DOL8u5-gBZ3XsB; zu<(nSIn<3@s(Ox9*~B{v899{obWOv;Uvw5Nvi1!iKkzh}`^Kyi_cJkgBQHO;Kb<^C zcy-t^0K&YL!ThCn+=&n2%82*k(0L1eyvM(S(Og!%(J%e}P)Ul~g1=ImU-@NwOMCJUT-9_7estDiI%6*Rb&Qa_#J#~AKcK-d)ETLK#{-8)*=E|}) zp6j4>g^{OqNpgKNs5|G5M;Yagyt50S%PNFFI+FT`LtzF^$%&nms<` zj!BZbO_{TfzF4|yxeAYUYq==4F1MVm2*#f}^MRR{7HoU*W>43;LubJ`uhx}!(mWox za7i={|NVm{{{Guir6PDQRkeXh*LV=%65&5DI!v&a_OeQWmtD+5FF67n-&yjgB+!?^ z^4fB3OJTEs71!fmm9zd|uP)$e6~`4`aClIvia-5$`p$Kl$fWQkHHB1kr6P6ObJe_< zlOkHI_faS!ObW(BTLzietbus88x#1E>vc^Rct^&UX|7=5bs{RxeS&mZG$$Do_ss7^C?&Q!LTW)^yQmprra`oq`X zsF!OwQ_8s;SfFyyV17d@ReveBI4ZxHZj`=~yz;1o(Efhql6z2kI!E0YPaRJ%Z1$FzUrwfFrUrZ?kD9OovB$h&mb3o zC`X3dDpkJ~#eH6B+@2#YOUc^JMf6iU@X@PC6#v)Nly})^UOaC3?sFxL)VHn?XR1V{ z$_k%q{e23`5B7X#D*+Gw$2OFD9s*BAHpwyaxCEG9=nh83pccBq^~|`W=@hbbmT{$< zLJpAUA4Kt8N#zG5cW+=$fU(X6C{&T!<0MpPD1kyIgGahx9=!#4YAS$X)$*q4Y$Q8B z-vp*BA;HLF{gWy>;YWAhW7vR^XT&N(!fPy4yDN3+oV=uN?d>x!AnDozf8J?DVzVXq zOR)Wtn+fJM|BAx1x(>TZ1DI^5(0fqW`+vLx*HHqVd*4sWB=OeA3XCXqgcgpUNGi-a z5x+_nvw{4nEGwdP#RXzS7+(2>beg?$ZmPw$LY9J z+D=Jxny=)<(qJUPA-zkjWVC6T+p}WoZ&&?e{rB9Q>%?7|Rj9yHZWL&vRXEU5pSHkO zGqR@1Gt<>zFOg72e9PGU{**ItzT^%$fk>@x`uWDG@Tq@?Q0rt$x}U(WzEByLPqk0$ zTq1)85DuxF3B{L=c&TX?>kaQ*MYS5u;w`9)$i`C|e$NjVn6W^U(S@RAw{1S62@!q8 zEd1C^DD^iK^(&kBEMk1w+%eohHCJ_m%t$pB-Sod*%F{L9E5r7E=uiq*FgWAUWq-oG z`v)cdab!Om$zZ&jBYheXdyu(4Q&2L+SP^3OMlH8GDn?bTgK?y1`9HtMk5#4!J{xDv zY3$4>iqujHwS40{k{rW}KPcPxXPKJnrJeZhU#v?}_a&9EB2fOAwk6Q14iXrhT79m( zOA$@tg{IexygLq&r7h^z`ZH>1X42vO{|YA%_wz}$6>$R59%n~RH5DfKn_kN~;& zSQpunN)c)_S``!5Dd!jq6wkhi{9mfddKk+!@OTY*gF$trVLxgF-|ddA{3sAjUcM+bk8DOMa-hfjab$WU_&{-x6RqO#W-FOg;0p0_f^#Dv~!D9A)^gw6O z9=h4ieBZ`vRRlB zf5H)gdg}EMn#o+{`T}fN8gVhAN|y0)0g&<-RKWg0MjK>hOy8RE``A@Z8m4ZP6{OzT zNf3%6FI()6K$Oe{jRo(AnS@}Y5aHRCq^A#-SgexQ;?0}q4JMP9qxjKn2V^SE6zma3&)%1*g{G39&ejOy z7Mjo0ww?<6$w|tH1`9Wi=I zo{)~<`sxey+K(`JRPm3&mi#^tDP`zXO=Ld(c7w8nsR!n`ZG^V{2ulC7-;SCK*nGqb1jLej3|yl(x1uP@gsR6 zhT=3Si*LD#{Vw4FZakh5M$pi8%3r0Gv3+OPYR%F{lhh$CqpU<6j-|~zRaS2H^}&3G zz=)9LJyANg@3-K(ovsPG!k;YwW<(k=P-udxP9UW70b-&JFhi_xj0nAV%{S-{`Q&jo zzdVuvlJwq74~NeD#g4;COunU_2Nr2SQV$Ccw{3^Vu(S_JG49=fjcH*LN$O|ot&Lcj zt(;hCH}$<_HVgDjP)ZJj^%l4`-}iid;4<+7HvW?NZx98}mmB9`~7HFDFK05g&|2C2J6l5xzSdeteC8UlcydvEVmRVS|tYOQ{KI<`O#uqF_HU)H7lq!kiC&*Iq#w zenpY`uS98rNQr3B;gS_~;AqoW!jl!;7$sv!>Ec5$5XEr|{h0W}j_aJ(njGRhO#BR{kvqj*WqaZOF zhWKK%oA~;n#SMvPlPv8Rx9h-VN=%BMNOR9^bsTiQpRrZ=<)FWJp z+?7pDiS*v&q7?Kr@=GaUX5k~8A5p`@y6V1!XHck zM;OvG@9j;t?&v^SP9J~b^JQ|lL_-wFA!Vb2SB#~mEYL#aUdQVT!BpL4_(+D0?s7Lz zl;6D~qDs^m>%S!|QZmd6?oM5^YS_KD@BWznIlNoATJgnQ9BbdplQJ;olL_48i(Q;D ztwH=x=3~x@^H@X6{PNqo8I&I_-*0_>PIdv{beU_w0Lu)rCMv+~3IIcuSDD2aZvjYx zp^{quJBZ5b<~_;Ih~W0Ff-nh(wfp@1HBg@iPkIUX!5!E&!PMG%8^kB`N=uKhGEMR` zy|@y!-KZ?4OW;=!b*|xHW2R(QvvHxLJeZ>AM4SQP(hm8rROf$7F~+?lNH4tZDhXD( zUcpaGjaS7*nIw}3Jh!ENmOQDUo{($!87T+lS`W0Wu00Su&Qx--&)0CStN>oE_4CdL z9MkLPwzwoY1zA#icF1jD_9tlgsqv?LWlz5=kn@Bl=K^dcKfdu{B$cFgUgsc(l!VU^ z#=yy56)%b;}4s!(u4z3rFa{oM7Z|$n?hy5Z55;H8l!reOxuEE0Itc z&5_I)6yie4`m>FZ_!#9@?GycXBQL(mc(6K}^fH-llqsw@BesRS9=QNr9zkg{IV3gS9|IScsuv_kn6(?H`@eHx^3$lMCAF*zj>!Og6@ z*bEcg>td$j{PKmG8n#)~OXLdgfDEXsL4IZ;xy4)R&QxQ>Y$TtEDkGPPCLl(Z_X^@w zIO$2v7CC1AqS9(kVF@fny6uiq@A$yOW?%ox{D?bC2pZf(!yN0FG-+PZb8#)JnEk|k zh3X|;-MXP6s#u$J3IrCj;$k+`Go?zcpxlk<=ns#F9A$ThjGkN$&NO;pRc9d#7|m3@ zxoXcHQokf@M5iNntX80|>&olj{qu8zF^QGgXO9E3MW(tjb(ojePvEyhbM%Mm40&;~ z)y=cr80Bfeou}T)y}}4p?1-}P%=C^7J5C)=y*d61ZL)gw2;s^RtMvUJ1L``!$zcHj zo4;c7z2}Y~t$G!u#^b&T{~(O01-vwoW+|}9BJ2Z=cRxJ^boC75dY+Gsy70zQ$ZY*p zkV)TJ9OD^Gb6E=>9dLW=54WA}j1QwTJ_9EQ(9j|Ry3xREc9uND{Qtj%UkgIa4LU!b zML_x_#!mp7w?YvvBRWS0E1)YvSb5Vt38fnl1B3nh!;&jAFIGQ=3iDlc+pFFGh=qRk zxM$2mc_XQyiw*Gz_5VSp?`KBZuRP4k!4iE!%L1)rORZ2(@g^hfQ~p5rVM?D0r5w^G zVN|V(AVeGFCp%a!*43oA6`NdE>vTpa_pwj{m!yN~@itYWf_f#-)Wldoi<^yW&h)J# z)Fp9p8#{^g?hi4xv3`b`u8}}S@}z6Q!$$>v?#&@v!;u}Qkr*zkKlkG=tkMgUY{%cq0jL}?);OZa{l)t(%?6c4W3!dlI%B}(`!q{Q+aBAJma*Bkn(F+oY*)v z8g#kAb7t(cwUHo87|t9$ddD5+J)9vmd-k)Hz?^MoU-6BHl@(-!=3@$MjdMz~u#Hy4 z{Z1TYA|(^N;L7yA)_ZrbXK<8}5zH5cJ8nAW z31a(26NbUx?R)PyVP)$jonJ^9w|{eIF7x^Xw8toCM!FaC70h~!5siREDl5uJI83v?M)x+ofow}NkjJM}=1ug7&p42qtr}8N-iAoM{FI+4HGUA5g zcxK%eE5NyXS&y~l@-L#mqvP;sJklmSt4|b`J%-&ljtsdpsR-kYRp|pGokii*qUnG# z17S|wUkjy{8H!{39a6$(3N1(P=ZaIr5E{N+ba?kJ zv2dTs`&DKBm2oK!!>1U$>8+GaZ|oXl95H?c{QaYCH18*F@6l~NAg;5DlT9ZZqdHRp zWq?kDF_FQf_U>>+>B8&QjhkvqOH(8Ly~SrF+xr0}+?lDKzXCtRfpuH2Z^8X=^*10T z_^d~6pWd7$Rl3sAC|e6jr@YkC+8v*Lb8ukZSZt?FKV8%!MPsGFG-`{!;? zi5<_E66xlw)LSH*N3zA9x@0}dJ}n1TK3AtZ;H6-0jyP$;Y+P#=N6&jfq`|E-oyR#R zob8+?zNM$tZja6LZZKzYora&xDx@}}LnDg+X-Jxt8Xx2g=~3{>FjAYzgLXBMs+F)2 z(tHYI{@N>6n(+n6BEUXew1%38nd(pc`t)DwVWW9A^_qTz?uLCmk~4&fZQd=m*+she zjDB4uIMvXgX}8pkW_)L&*b_f>OchTY#CS|hVLAE5!d>rdN^&F;G7_xfIc0#Ars1%+B{7m0+ z25OG9JI1S~v?PMDcBLvp2V>shYsFpU9#kUhAg~uv4_kewBT8~>Rmj$%uDYnbF@@F*i6qFrS!Qb~ z1O$Hjl0g8QUJ8nqFK^mT+9OQ2=zrtLM~aZV{GP#a($ z6mC1*WU#}vD=<>MZR_hp0NGOvKts6648~8`avcJd4=^1poh}nJsjByYdKlo^+WMFC z|GVUo<5Q7kY_HC}0^jkQG}My?QoPX`y3K+v)Ctxg|CmzdXk-Mm=e_-(YL9f0eV1CG zv~y3o2@K7t9*cwW38;fevf{Q0Mkt7A+|X=RQ>hV_7(afp?PRs|!su^#RK2;(^UCtt zg&PT7li}_>TKapry=Vt9+&!i4dk1`%H|sS|E(Y@uW(YxIFjdkU*M2rS=B0IUH-UnN zd1WdY(l^et2dXHu38-glNsJ-E`d>fJipN_CDWdE?icO}x3NCUUjOQQiqFR3cCM${e zira7Y%-P^cFp^YK`eX4bQPFpXSxPH4zX~ zV#9d}9>REY-(Tg_sjq07&e@*23w53nC>9dTQgA)`e&KqEvCNKNdD1^VIv?Mvl;1UB zIaFb=V9{sF2y4YlPKU%XyUHlN)uLVxkF!7uW9QiETfhF(%XdR?#UEjyOs~@;c(vT! zgr$(gTbu~S9Kc#%qaUH)4paBi@;)ZzsTebxG4rpBt-LmucFl<47o~ButLd(4`Ig1; z_`crR{IGD;7eiZq{nBvp4~h;L|6HTBdEK?gQ9=AF5AwpcT^X6-3RNb&rt#8P>tdkI zi`2iyYHV@iU9fwZ>^r_Y&6As`)#U{n{Wg@7wPVujD=cZvxc;uzr0+#gO}Nz~WhBz$ zhq@mS5Er%00r?}La5lct#L5c}5osp#QKRdQPNydqdnZ{z&cjJx6W1lre@&YHcZi^c zUHh`MOHBr0HC!VT*P$CD+((9;0mw~TY^BLNT64c#2Q`*DVDC~`*TXZf>rR4Gz~P7j zl819vV4f>JY5-B@z2O-@f46=#&_ICkHurx{6ZxqTiCGG#|9b`n4$R4_enItD%e71u zMl7-Oh#Q)LX$GIsevju6lgfj1su1xyR=^Kn#1BJ()4sT^{We{W9nfBd#o~H$QmVU2 zA_4u&t520Gph`SSsfe0xmIs&dMW5QX*YvGh!kGGB_)R*8bnHBKtKj*q#J2zC8edL;XB9Yect?Biv`Q&UwB<} z9_K#x{%y4$%YTgQVvunO!erAfdQx`X2xx!QJvg$Xp+_soh(uS()<~8d+W;&-=-QZR z`&e?h!fAtKKj<}V8)=Dq2?bwmeaeEInTm0V{*iS#yF7#qB*J+4zl642p4GY`TviO3 z63vruSu$AO457x=_`0evO7#Y^2)3!i;#ENo?+S zZXbFsrjUjP?9PAEb&!fovaWSwIhDl4FEwu*dhWil2^%%eeczRqzY;&Z?CHMW8AG|B z7k)CB-kERU_yNCi?H>GZKH@E~n}(tzyweAEuP*fdwU>`22m;+E?Q;PaJLu|Zkc|id zrf=1w-JMV9pM&v4!-e4y%c*0}#Z+%T=v5n@g6U$AE>=8&BM0OS2eKu6|NZ!eSS9>_ z9$#5@o&BER@xJyX#^C|;M*e&KC>6~uYkDQOw~vHWE12OR9{NJj=%7m5@nk=}u(!Nn zuXEvodLZkjF+%5`;|r2pj7;I@`IWMx{jz*{x|Mcmn4|p3_F)|ZqE=t|Gn9N(dAM{1 zGfu2x3wU4EKd>&|_bcPCofu@w*X)^nOx~4HYVLXCibQjjA4&TB@%gHPsyo#NDRp<8zq&jE6;pAzsZ;0tj+Eb#6==xy$7KS)WOr zHKE#juCCmBtpf}w4=7LfCQ8vobB|c#%Qa1-%sy%uk1^IGq}nQjOTBep!Iivg(-v&g zbRzQg9wWb5>XGEHRL8H{QTlYgm)*c1yG%2Z7#)zXsQt&R^IW zwKj79vjDPogIeZXR;pDl;of*9qzscwRXROyyo@6)9IaM%hjJ{ zfTwgq`7Or?9n3CXdw|E&JG;`NAK`4{Rc$rA1_F5*zf9082ur4=w8G_rOh5rAZesgS zMGZ)8jZflXu*a00P8u85Y;m5++i|W`klD6Mb_PNE<8qXZX}TqCetg05nY66u-gtMu zr2{^0yYa#J#&(^x)SN+J*uxjazG#C{4QBEY?BwHw|7Nz@JPycS8WAws*z?4P^Vuk1 z1(LAdd*P6mmS9ylrDZpWOzVAuuqlZuC|4cR7#=Q7v~C z-iFn=l7&Y=js#eD3H6fpBD@0_Md-ybnS`SZ``TTNp zY}g;Z-0WUlTM%=!yh_bZ<`=8Z%75p(9diU zcX4T!jHCijPF||EKuuldv!RzcY8&Ew37ZBq6F#GdqS2ZRRn#T*Ghq*5#R9L{qwbz$ zDhwW`Ni?O%EU3~itXaKH8`l#<0JqHFV1(x&N*({1=^CY2dkf zq1OTRTF4(?u9F*Ssd)>KPm4e14>V>B-KC71^EveIsaK-`oW`<*(7cBJy zi)OEkPEaT4_(Gvtx~#8c#efz~((Bs2=1)^bug72hUV3QuJgd*K9LH{|tt*CG7%MOD zMQJhAkS6K9HY?A!k*}VZn5SQ>EN}%Vi2Xkba2dPFWP|Q>*ItH{*FYq*>_;a)aUOEc ztsQHWYJ#u~&?hP?Vz~nLqliJ7YFwLpMe*XuzSvXmSgVClmmO_w6f%SoN~#nG0~@EygVVYQ0eFn zMdE^dsOUj^xDG|*Y8Lfrtb5Wh8N$MOMcJrpO_j3lx=-rInGqvfXC*xukF!=q$>@PO zJ0GD+pCv;9hf0WzsVaHInm{;r%p*MkM;(KRTA~lx^v|Bzzx$mQzupQ$P{S^fV(f5#0AfUrVC&5 z-p21j&AH$2a%i{-Q#1WGnVem{EeEoNM&9k&Q0)a?4_cVfc6VHb4K7Qdu;6y;OM~|D%APW}tpg zwMBm00E@(}kjhrVJId*4Pi@l}%gy3F9iX8Qi7W?V2~`iD55jBkcaN8LD|x>AIwi}d z3=0vjhrE@)i+SJXRYN54d5UX-VNriC$k0H#+jx;Gf0Cb)bZWfobA$HilZmvqDlK%p zz@m`hCJP(SHy$eYJ%r_fJw$e?O_1SVy5@YlJ{(KOa3{J;s~}Q)tSC z9a0#*m(6<8f%9QSv;+UyC3j!KP0)%5K}drTI%ypj7B)qrY1^1#O9orcs_>#cCZ$jl6-ZHW$a3l1u?}gm_-BUQg>mR$@P<9x zxA_ryCo4)3edDeNZRc1I-yGsxZolC&?|gPrx&75w2X$mrl6)XbJyRqL>At*jdb7GI zb&dI~OBhwKnMaJxnLO};S=C=1+xysU0r;`BwpJP#4(&rl0~p@KwvWkND@+V*1|n;{EPXqS z@us)+>&s`i#~3~LH&Y;r$XyFpy}|a+f9gd*(6bfAVK9}O>Y2t@lOe!Ho%O4@N?rX# ze8FQat>lkppCzxM&+MVGHI~_+t;ehDCr)P3y>dcIUHuj;_30t8`@oc($z>lafKg^3YCC8L7G$c7cPve24LKMM_a(FGR+%fI8W#gD_CfD~6PPiIewtBVkOS~LPptR>*87EbXvD8d zj-)@h+kxJfsHerAw{E??r6en@(dfnF47t0R5wZwY*g4vZbAJ_yKdaL!|3@`e!G)WR z7_olS>iM|_aX}@#weN4M(zs{GYMsW5glQ_-04L@<9=>&s{O^<3D(|XP$-|^8HI{;@ zFG!BVx@)wr2!~HtFbGZblr!=_byn8Hc}`sfKO7)-tyH=ZWv=jamU7kAm{gHB@Nbx5R*fK43M z+Xh#Dr(9j<0vfN%M;_Hgqrx8WXX?$>3(7I2%?} z0%z*wxyz8NNvT9@STOWM2WXi$cem>=vej%dlA&q7yQdE=&2WNCcg?z19DPJ*f7x=4 z8nM1$UFlgja1RiFPF0h{tK3`WdwU`*VPC#qK=8qY$O;3~{?JM0LCEYw=Yc-bSeM=# zb`$G%=-P04+lo?_60}H_hVZ9`OHpu!V&EessByYa+E8bisL&&|Iz2$kNE2&{1#?ID z`L&7dgV_s9M6+c&Cd%UH3>d+p9wpbE3rYPPS9{|PGE>i^9CRDK zMrg~)At9AK44+pISy}MM{V4^%?f-!NnXQ7u>*j^w2`*!{uery4IT)Ntsy+Or5D$6z za;%=`wjTLq)LH1A31Q1YE6HbX$W3>f#oje;8Aksj{b|y%&`$QW|zwzR;})aoL_zbsi8#s zcFFY#hy|~MI-RUvxi%iAXrmcWJb+;c?O#JPOl9%WVJdzx!eI|lqrQ~pBL>ID{jP`w ziT`f6Ff#tgU&S9WP>EE5RTFKfK)JaiOydh)$|=cNkSiMnEN!LnI&_6ZOQ!U@&R7it zy|Tr~m6SK!=2Vj+;AwmR@)>KIDz?uc1_#5hPGLmJ)6e$Lu&FIsf2H+SMOZwt6^TDk z8S8nhUYq>MDwPpo!Ys{|e59AKh+AE=$#=2by9?b-(Vyq4zEw2YP>c9ue!jjeE;O&B zH=iM?_6@d`5%D}CGewbmkkxpa#EjRbjAco#*PU@$jz^k4VT+uF9%1u@?`x&I)(6(W zYCYrQcS*(+L}lg!#hD1`TN(3>umA#=;X&;~E~%%AIC~s>&tW6EpkK@6h1ca;b_HS9oAL6mM))G*PC*QW0c z-f{cB4(_eDkR36;p-$6PkHFrb)}}cf5kvk5BCcPmO2ErCZso z2Hp>%Y=+nCR&ZYZ$a`qmQDZl?G>s}Lb|5{(eWp26&nfLIwvLNyjP+H)YVgCDGvm3# zx5l@BLGZya zbK6_!OX}}jeE;xg_!4gD^8tHbJa#zXPxZ8mw)VqU*Hzbyv1n&Uw&*M!71t^VCT9Fk zcgLEDJpG2Lj3TaL!a|ZY0%|eJ9S1Wvg(p?%&Qo*}8x5!Tubz#sH!Ci#*w`<8$$qoo zM=ZegemCYN(s!KVp6vsWEqLl%{8XopIFwa-xRPT)woTa%)@`VdDA}R%Y!Q`5!i*59 zRwW(cY^npw=1m$ybnY4ECG9m&^yx*@krB(Cbx5PxrA-Hp-CnZxy?yf*OID+*aay5* zrGg|PmZysG`K!I`5^7k3>kvA z*lDk=%%^T~9HYVlMawoR+CdK_y?K=(!`hj2kHeHv;QBq*3Fm7N-mA?>ZwdQ4(w&u` zP?_H`xZ3+La(Ma@q>JzGwY<}JJZE$0G@$Kf&62@VBEiO`lUFQWi__RsZO3P3+VCl_XbgsJM zg=Q)bfo>om5mqh7L)&PTJX8|T+qkuq{Eub3N++=MQbSz}U3wN8zWtW5%`U0=6GSk^ z4-&=!FP=o}+1eF!D2`Dk&dg*wsI%64xyP>JFZ4gYpgPDLjLo8AVK~-HZg9G|-+nja z%UKwk$SBM2sTw;?nT2n0LUDc>X5BK`YYoE4SC1d9;{hFpSyxC9Bu#`u}zDLyi}GC@^GqM)A!a52jv^Sq?S zjRLMtwYByE7WLDa`%>W-KxUcfOCHxR5buXkzX;3S?O(^PuRn$U)oS8JT>ok{JKq|g z{(VdCx?CMkxq=|OWk1^PB)s`C59KZ43~>eiPmBIDzig1+eS@B&R@-p6R?fF7m~fxv zC;bh>J2h!4%-W*T0Md-I%&19JUlN4WK)>F9sx_v*|JSaUtxrn>Mp|Zg;%C12a2*>W zP4#ft9SvHk+lA6vd%`0thu)IEZzS6aV<^A-=3ITb%BlU`^9(=E)#3adCX4n~lCrnx zOr#r%6g{CoCV8Dm!rjkLO}AQ{^c1I`mx!lhU{g$=p-JlzSMp(*hW+RCrBtHKt|*Uh z_2QDN<&O-6j4~;ie)b|m#ikGH*ZR5{evZ^PA&nB1o~w#*5g$HQ=&|eb`XDzN6+ukH zsoJN^7Sb-85Jh_%bCbM(ML2`V=20qbaUp-J;^v#g>C`z!C3Y3K4K1AFtqDb1rWO5x z9xJwd8iBz*~{2H1L^cY%@y9C|P$YdCiJP$f3KJ$K4Zo8^GV7vN8TJ6gN7KY$p{nP%O zH)`*wKK&f=6)_$@bMyQ>GXF9^52>in1BjbT-vtpi=DaJ*NVZ5bKPiogPe8^*e*LYJ ztT2W9yF{oZBhl#ayxSj15TwbL;(8X_Jlywg?N@GY-AcVv1O6z+W7m2NG4MaIbyg9G{K&vt>Oh|}64&cp zm}_oB`C2tGC<$wpF(IK?hFbv(uYMWt@$RMBC2!azv^S)rPEfP43!do_?SjKW@R?Xp(36y3&?1r-hw#&hII!m|rh=uS+1^{ee4wz4>Cd9|6k3)%ZXueZ)d%7GmCWF$?X+LbLpCU2eU)SpsF^ zEPGzvVvIi4zVcncw1al%Z(xKBRaW(^J|W1 z#1>Hbz_<-#U3+b>iJ$(@%fTq9brlD3zhI>*u#dp9OJFK;lFQD-hbnn#!rv+4g`RiV zk?!O}QuK;;DYzDD3V#CFPO)MNvXW)Pf#FxNbC0v>E7Xn__9wX>Vpu^&!K^yb;~pfv z1dYa^tsaQDm$(Q-nzqRfMbQPCP<#jRVit}Fhcv8QqC=2cv@Yb2*Jb!bk!O>>oB%<} zg1QW>3|MyjJuQaL+FtU+eL0>0@}Fn7&9)FFCF;XgZilRs;x0k~JO@whI(Pe079;GwQO|_n!{;X{oDinz2weq1J^J%bVTLpFC#r4}VLpJgIWr!11 z(^ROUEVHvlM-ZB-A~|8s4&tWVk<+f%DtLyUZ%x&pZQ;JqNlJ2-YUh3|gbmE@lwUmg zJ-NK2;42PgQwE!8t@MO-VekP5hD>5*A&AC(KyXj`d|&3KOJMGz zq6GjsMt(v?eSB=V$jCcGV$1+d)&%S7Dy|>EEXVtVJrcZXYsfS6Ut793v8Oh@#_XTO z`_y{~jNZ6o`GZwGX^bLc9RjKl0M5=Hq1_u*8FtO5cS=us>(OpJQKqW_t`^oqkn-}W zN;Xn0rx}b1*0mliF4knP9VMp9qjf2(jq_tx!eLaePwkd_&8w3IoEnNihr=e#((n)A zYP;3=V^CuKc%=7r9-5kYe;M7_3HouLqAu%({ox|6Yxaje^78Vhqbbcv9K*o*Vjx$z zw&9F!MLb(g;S(0dY6UFKp)K&r&dkjGeThQQ)7ZFejr|!ok2;)Dd$slG_3Po~(wyrs z18)0HGu8ioiQb{ttypd0!q3%*6J%>-zw_D%?x%$X+C0)tNHLq$wVj3s*`#k*8Phbd z>nK9HRdPfq^Nr`zCoZ=~qnr&hDt}7L_uU1CjTHk0Z0`vBA`Bje`_rfi+L*LuFo6Bw zQ>~W!p=@iPXeXBVCtaX)xzE-j>cy0cKBH%J%Cg>L1W3dRN$i!_?BdU4dCP&xu`Hig(}XSj13d>9;W4{9)f6+)caJ&oU0PKp zeja3g-z2c2k!w}gYccQ_cF%Z4f3%_)gw9UpBPTa4SdxAvLLDDSy-1k;j@eibZZSr1 zYNZnQ*z$$q#_b6wc||3)J)nh(xUf=>QD)@JM zkWgkq&uhd!E?gy2F-a+3Qiz&-q4^ms&jJW4r#Sh9O>YcA2$Lc^Hl?v5<_TtPOkgf4 zmt!P}cTQ$Ok^C%WwGP(W_#_22UQI}dS3uYJ+?X7oS8ww6(_O8{r z#{2sd$jO@Yyb5}v{I!8DGL;o$3*>0Uc5f|eA2%Qh60QMHp!W@|#D8F&W&QB-SM$X$ zSBRwVH)*w-A9nm|xBuG22-@4*(UFVk17OEJ9WRnR{yYf`VpbNT(~qoHizKOg7w123hgZGYH|Vrj(xzYNX)s~wwgX*dvyji+K<%!i!=caG2%+gK?-zf zV$snY=v8zE0ixe%1)yOM&4WgF0ik9cFJddE{-;k;+!KohyFL5~uI7?1tz>>p&6BUz zedadj84ks^O5K$SE45U_{Q&Z}34fQHi}p zLi$5GdSQf;`E0L26~IH9;h4_SLt`6WB)5)MaTg?5vD^9CnrTtb!Dz%ei@A&S1QRK= z=qSDV-SvVWvGw*J-lZ_2U7zsBt^WEw%;IwC;#J=6JIM8t_NV^cD1z3Y`9D50hkTK= zkG+3=EflwA)U1hbCUgFzb@J$OX^`R4U24f4=P9Z%8s)u)cjrCwS_}Tf z4TGDx6%E1VaQa6TI`88=d+R(HMYi&O0OU4Y&BYkW%KTNrB=!_?R z`pvm*x##y2%E|Jz;g%}~HiU$tFUxQyxZR|UD=Fv`PHD1aXwlZMx!~2AKPL~1@A0y2 z&finlON4YeYo+M}`m>!oxL``G4X-e~+Xd(*aMO9Bm^0PN>h}7ZGW=(K#_-3QkM;r9(MRWVk%bG{2PL z(#lSrqd&al7`Q&!3D};CR3)0^RGKNO8OB#W$p~%ck5OAe764&)J-;{{1`U0*Q-7dS zef6&k(%-!uKYtR(D-e$(iRuJ0Gf)TkcOO;&ypJ%D0A>MTFI&j($6ac2?fZTp=Jb2l zvnAsm4w=f)H-0g07!+jfGX3=jogvKt#tzsY=mV=d(RoN@odDx&qNEilyY}04%|Y+M zxj+(+y8Ei(_0P7@OF&EDLieKp%4IYvGl}QiTTDQkg}lqoR=U-A5=`BBxG;Qg-9N%s zcS4&YED%GmT>sh4TFf$RQl-B`P~W0q1!ZHIjL`4*MrAd2IWqoA3j<_3C%ZFFWN7HV zdnHj-UsrdyPnF!a*-htY%XzEnKU$6qBLeD2PfhLJ=ibXT`$or2`87_riZ#=EW{Rh7 zC)$t;BSN=kgi$fX#T{}}m6dcjv+#`Wab7|hQ{Cba1;K|%M4e4dUo6Lzjp3)X#%`Nq z7X)SsuB0O&)@+o>k`8uAafp_km&PV5>F%|D`O2DIKBkw`E*Pe9k6v75uHDH&-EvhrT};O!~M%)*5P3epz#UGwM+vSSQMz^qZ?JIAn;tCruzYc6aOXM1G;i7X#pA zz3o^1RBbUy1#(2;{#e(C>*V_4)#Y)?qWVC?=Q_?T@2KLYEVrb8zLY1A%axvdcehVQ ztTQLeDrGt|Vi&n;L&5O_6w#Wsm(Oi&OKUJ21~Z22VkNNRdMl%U-x1iYga(UZ;uH;= zZbs`yYn2>LUa~U)S4$f=qnl}_j?R`~nJn7rD zq$n`Aw|*PXL0PxT)zU>t2`-1>4jH>kai}9Wp4as!b78;ND}rH7wFj2j-ys zFG0JsIKMFz$D|#zX3pBY0!X4#?D}0MfYu%njK5HRD1X?7POS{$wT%`ipDo^8E!v-j z)4_kJI{AzN#vc<1EtYi+aN`0suxkE>@Ia=miXHsiR@wa+=k4A_X2AKz<)(H^I$9hz z1{X4zBQU4fp8;|YbHfg5_CLk(QtgU0Afo%Xb$iY_2n~rJsx16L)tcx|CYEoZxjpEw zlG5^}?dsvjC!QK?LJMAb|5GKj6f+~otX>;1J0B1^l};@nELhU0UKnrXrk7{^n1+dP zU{1UL_4v)X0L~xLw{;EM22#F5>xY?Vs}(T~TyWZJkM^3m>){L@C8AuFyLqdqi1_)3 z3Ou#f%N0;OWef?vc#S1)a;8royK!5smD-7yORZ~(XhUz&$T7Z;Q5&)A^9f(ux)m7; ziT^Bo`sty`^z#I6gw|r8^96gzkKFsz#>R(TWhjzo6E6y{4eM`g7os!d1}_qQ^OH`S zbCi6h$G~<|R|H{`;5ilvyFZ1(`anK~`s6^_O(yISZJ{rWXhk6>2U&CB`Sp`8ZEO)E zD#OaeR2=Hqnz6-Is&*lX@s_4$%D{^l1SkcihMK!R0g8j_MA~}sKF4Y)+*%IbB)l;d z9-pwv(4EBb5}AG+9Ftmc|e!7Z1gxM2>T_ zXK?wgmd5H9?FpQA$4ohIcn+^8D^NXEvx?Xq60Dz92G?O`Qda<(fz0}}EiPLE;>q&8 z+i2Nuax{I0A~;WT@;LT~E>+{<)t(9XSf2AZj0tDX7Z>fI4gjM@D5SdRI6mPJSU~6VYceO{>u)Q^wnp~@ ziC9Y?#D-Dx_>MGhH!NN^?jxBF$EX7`Y}@UWdU5n&2d4R-G+ucI0rm(=m1dpS*B1Zo zmez}DcPG*M`r7{W#H0jfTrB?_pgD%x>6hsTNM&eo0!&0}w63}}+gc?%G0Qz#WHN#S zX2kkSiD9kgA72^8-NwzEah~V4fuZ(~U7uoiBRaQjnxJ2lhiLjgSEXCC5gLshs`@kL zuV<%4^la|oAEy~pta)LpsruC{hDEF^s1kC)c(Wgdj7#LW6nwR=c|I7+?0#IiUVi^~ zf_C%m>e7sy;}h4Zht0R5$VT>C?+%=9sIkOEf16zxx-3xM*!LGzNtA(%oe6Jv!EM3!ht!p>-t_?SjYlH0Vq=08S|(wX_*L`{dC@`e)Dh5OVYgBcUcFUK1}rjzb( zrjy{g*be`Pm1m3ms+{$|J`^#GT!C2pO1fQnF9MBsb_Oh4fb5Xi^XgSLY6I$vPXLG{ z-}w!GO5ZAPfG@{N1)wGU+r?U?et<1FjJP;I2fX%XfLlhhvId`b)vae|_-}kjb|BnG ztpWVj3i$Ga@$3OgC=qyzL32YhTKz|#-{^0{`t1EnZ-enyM*vZF)xVaY(-}cDncj+E z_SUURO-N6e(bJ!plzerEf_-+afJ-bsrFpxf=*VyJ(0Xt4Wsr{EMz}Od=;fctoMm4i zH%zuZU8;Ycpg5Vdob=w*yb6cEQ+yZ)`$L?rIup+uy$a}oav9=tmtb=DQvMPTSrEWe z9`~$#dq~y3djSdG`SQha*ZG7dlGgEZtESB0PaM$)y@fuqP{+oI6JepTExo3$MW<67 z%cyTtAEyYM=V(`pmsjsGiY(IXiLST^igeSwwl`qvs?=mnbI_Mnk~=unGm1k}3Z>h? z!%U283iU_Q4^qd~DKO<-9t^IuTH2bZ8%LTYKh^4K0PliEi8(>Bo<1N1ma3PJ*B$re zys*L8uDki^rj{M}FeDYxZlXX{YU^W|V!(<25jwqiv-U8J-uk1Er0-3hFliobG6|U+ z#>^bd)zC>V5h9aOiZd-WTRKyHga$x+l|c(8e{|%XP}fpdf<*4e zu2&~KbF|$}YYrfL!wDK1*5(YEQ|_bPf-!HysF&W+g!ZVyn_3eFSziI#FC?nbZfqK{ z?&LYw(dLims}(BF!eH`)SdIqkYq00M49R%iI`z~yumuF1m&-?qz;?pC0zRDZb)&S^!2QaSIQ(wB$3cW9)YYgv3Wpc|@n{z23I>E`+!_nVgB)3Nj8 zGIEL~w&Z^x0m8Rd@8K|m`O^()*x!7(R(bO32AZ+A`~cr|s%C1`jNFX^^Ld^$D$?nm?BHMI>x z*S+6@i$mS|V|)EKpKZHbK}X8Jpeo>coLgFI_isaUxMr!A1S8d6TDX_~p}Fb8;`JY) z|0M?fkuQNlr8Gzbb$3kkoYOH@A2D+98u6X=II|nf4uwQLq^R@DR+nr%kYQezM^{86#S#*Xd!TZuKaPSIP3hd{!%M>{?V zlgY{u$O9^mY$dlokG2tQ39|VO!8P zzEMqtKlB7ncOB4PgNt`$MWjQ13b+Y?OB+A{G*R%LuFphduK!>x_J%tU&Imd}*aAOV zzy-HNh*JjRb?-T_5*B{QXJLR*q{${tE>dt5`xG1GuZXiLbCSqJ6L*Hhb$ClF6hCD) z^=o-Xbr_~ru<#xji84|a`>kujs2_#Y5H>zBU7HJK|8C|K5;tC=8E_PQQ<&sgy*ygR zr8V2ZoxbN>hEXGo5H9c6R|}~1iP6|PUmp~D`B+E!X0u?s#aI-yo4C1?0Pw+x(ZI`r z_3_I}mF!>k$x0SZ1ae+R!p$F0lg8#{XjW9&95*N-zXIXRxXNo#@)BDRjpt|yRme8Y zP0TbaJ^yJgsju|UdkX;JBJv({ZLJz$M{+4UMVYn9a;qjjS=L#)p9^JFVRZ#L6yO=b z`|kP}Wr5lbrpGdCq@S+XRoM0%XS>ZnyVr0NxQ&`>zP#dUDVp2?&_I4aYN;M#S;Ck3 zu!9f>lNzin4_LK9&-!v? znYslYeE57~If`mbbiR+nMjJFsipX=~QX*3dfw6n}9nAwS^;S!+AlyfkCL{c_E@FhI>MEDWW97#HvgMse1M1825H zf6mS2dYYvFx$NH3Ap(dum&DWuCks4RoGMh`Z0h;$7T0UUnOJfwyJBw$^zbQWW6Evs%e>eR8o#^IIJA zel0=Brf?ByR&kdMD25}KQrx8G`FJ52c3Xk^%YE0P6PnwB9iZfm&A#w!!NeD5#>!O) zn{ZHB+o4dbU$_T5rtn9JM8QrN;$ ztV!4^KT9lW6EHEi#tA?MZs~iK=dCnmK3f1Q=lk98aMO3f&qr^`@jZBf6&TG>`6-#1 z>8bFb-YX)SUd6G;)tiRI`6Dn_92>^>Cj4yX)%o4_~OV+VI1L`71l>RkPrLv6x8xtaPxDvy_66k61Nmojc;kO&iP;lRZZt)}4B-DHO&$zW@jM5`h7*`lv z7GD$$g{3Pn5a3QoJmx>ZJyQ9aliuCG`Y2m8IM99TOL=u-gQ%FUkW;qa@JtQ2xQZ{q z?@c(Kk&qSMeNPWwjvTcv%Wq=ttWJ{08Ukt`!Z)JGUM^JKBgF9A`w$fu_VrRVgM8+5 z1Ytjn#dBu|`hhJuJ;;c4z2+YuB&|{U`>6%IYOD50(oc?51F5-_#Uu6#=zyCFHvkvk z?oZ(wMhuH?u@^qisvq2XL{3hg5+?L7&J!r~J848WLag5a0B6-vHM*2qsA)s>=;-LL zM1_Smj#ZP$p#do3%OrH@>9+BcPPOF&K810j9f0nQH5kSq*9f%J{Jm-q!GtB9koXKSQSM)Zk3pEkY(*D`ZEwJ<>1uE0Uv#g?=yBrc7f9JE`(vBl_u zxIg^7ud#)W?rwf#rKrI?)(dVY;{e1)aj6dcJNa?sVG(ge1%WYa_d@eU-8ToO$qS{) z!{$8KrRr8^7P+g(EGNg6+&odm=8a&)=d47u9pygz|tpxfV zgg}9nE2;E>=wF5|7{8OZwO{u(z@bgmD(uw^x-o^nQg=gaQgskB6`zR&R579xy&o51 zyZ2rNki(D{AfzVGCeT�Jr@|&s~r8)Zml+rc~-$u9qasXEXxCMS3STSe}=epV2c4 z>DHI@B*c%xZZ?5anQ+reynS?4g5FnY!y3)Dgro zooNm21YG;&%umvmS^M=@C1_xs0uFZmjb}+QCAzV*v=w3T>3hpW2UX$9;SUnuXqq{G zYzXmB#4b!B=Wzew>BdS^{^Hh@g+p%ZjOj~;Ax0(21YsT7-J=%$@2k}fMMcLw)TJu~B)D?4 zV^>`^pNQZc9eqq{tg$m$^ryDt01!%E^v#qp?)o}lNb2U&-WyGNrUTVOKyG?umHGAi zcO4X35ROx0cOCqb2WDGvM8=~1$G33t@xg9q{WYMoJx9yLw*b!XF2L6BRj;C7O+C;+ z4z8qvu3!%e+OPfAMZlG`P;;PRE#2;D(d@rozC7?TpwVO|3pmG{+N{RryxA%pTw{s} z$aKI%z{SMNV4a#`J>0;N0-<(p_-fUTFA-$5I1<;v)G7IHJ;Lsu013@lH zFE#K#WI{qL&sv8|FQcPV*imH;qp=qp>mmBuTZI8fjyB44cd3>bH;oL=9Terf9xq*p z*br7p=RFjWV*Hnbzxh4{qqliDT_Oc)5$%-eN`|t4m1==y_U*;W{mWZZ&R~;pP#4z- zM9Vsiy3}tqAQRnM(;LcTvht&zr>=)F+WtdNm$NBtcUO!9M1eq`49-#M06YZHr%*T( ztU#~ecF^F8I75n(o~_vJ1PBJhT11(PK=MI|bz#%7TL;F=XzCEJfT!s6R>Y;29SC-f zZ)QUa?YzQu=v|+|`)OPaQas=M&J(}<7A(yBgIfDKXj;M>81R9G2DkxaeOc6ii-vRE zl&RQDjd8gkL1P~0<2VJNr7F&=yI0(O2HGbz0Z*XV-_XsH)(D=N$C^6!S+M%}JGsrm zkJFukkHdtTy=;kQh(52EBup+PCB;YqzkeA*&5|i(N>+Nz@aLmUC50R*WfX&$p>SmE z!+(q}UQv^uK*spfcwEVzH_O&(Y0DVR7ww*%1}MhGM$pC=tV}EY2(_itT(_oKuQL8a zf+<*Tvfy|jUQh?T4PMGp+E;5uM-{K6)qDxXK8_mMTm9kWv*99TUQ7Ow+CNHzEIXgF zCzR8dt8)wLS&Ko`K|QE3Q%9dtsE+W9G0JatJ}Ti9nU=Ssa{SYUN*cF3RGhaaycm}c zebE~Q27)l)%y{W^8v9C@jUjO7cd7RUFM^GAAF1Pa8L2a?RiRsphv4dFO%}HOV;}J4 z<~j+SZ#U9ivlIYcweq{Y`fA#0O=STz3>l~Me+b71)hdeZ#`y+oBTzXd4`h&0aX#n# z{NR3pQbqyMK*oLNGRLhJE`ixc=v63jkCo)%qrO!aR3qRYy41}HR;&ZJ@>;jlwKK|Z zyR!SBeyYh4Tp91Ri!Gi#2fqJ3i)6<|(9`Dy`Z>G*GKQaxsXX~_uC|IdS6lziu7seA zIEf`fR0hy?|9?q4=wt1QK&i=$K$b(`{qk6%#)MURToF+@J6mziX9tcI3G6VF7pyfr zZ&L1Ew!{WxdN!|<3`w2XgS+C|Zo@8spa37ggFYHSx#16}XonGR*ND0ZrHxH*$$bBg zYOUm8FDBY&SEuF4n0Ox+&k!rnDIS$c9FGIJJja^4zMK^img4c@iJV1G~q zAY>>h4y{=HAw-6$Eka{dCrR;n@e5mBGDMs(02Z(p(<^B1%qE;#ijPR%(kafFO2B0# z;03uBQ~HFjTCe3iYxtqlak&JG0fGQmkhHrb$QN@s-kt%qQU*6OJ{zuFF))&JL7Ql|bhh$Q*qJ zqO&Npnp2eja<+|^XnNSMvFtOy?k52gRemb=;QT@@%O%rPjkOXtafW}UHYHc}g5zD1 z0j`}pQslgK-n;YV#n11{8Mz^GA2`E;oi6o10&z znt(tjdQj#%cDm#ZK~Qg=^UlI zMHQv8uimL@cjL||dmq%%+i({bxI1WG+37CZg*~9N@lEDUl+>5mNS{@{wwIhtS}`A+ zeHJ-MuOY(u`8oZYhgfyTcEtOfzGZ3er|RdDV&q_}ke~N%Psr!#>e`Win<|nOP-f79 z4`zuqV+tbQs@|*Rf9d2!4)EJ{%kuEujh~)-eoR^A{d}F=xQy-|yv5agzI)|TCk7!& za~?NWnVx5>1Q;F1qMk@SIpm8M0-x23O6VK;d4{XTy;Rk){pROCncP*$_!Hgz5wNEJ z9#xUEPU|b~Tc>7{!ynhtoB!9NN=y<+O%9_*VV;$V+S_QHvg*-7(|c~*U@#88?jTg4 zztMr~fM^UT->Nkw1t)s%~5&D$_1e zEu>LnfNjk{(|N0F0K;t`Mgjt*I+1B(c6u{nxeWH%KB zci*aXYRZKAz@QMCs-s>V#r)_9Iwf{CzG1>4T&>Dh5>0kN|D zFmdly&w^`_iDIA$`H>q!!^M!+V;Wvi;zT@c3kn+7zK)o~$w6Cs&E$`isY^a$DcAC6 zobg}DhSDRmAQb?-i%cy_>i=0U2zL-7eiVc7Ptg}MQ59h$t-)>Yq35FK=%$a~4+`gw zOwxHMH%d>$IeP6yS|>IbgbGj~2UjXG=aO0P(w;-I3pS{G@0Hx@Bp#ltK|{O%-8DI)#A_r6R(ms`xz zCf%5p3odnf;EXw(+`t3)5&M%HESW#2D_|BWr5OLyXU6-pTDb;(q3S(<-psR0(pCn4I z`S9w-Vl{HrAYeLHx5biSORM5Zxp#*p2U{=W$+d33^Wzq zZLwVZ6D)wf?>KyBn@u$MXWE@CIUPE@MNN@c+YsYYbDKGh6)9Z9fiuRf(+qSr_E$w1 zT_BaNd1$>jziv*H4aNDK=r2?~RYaRdw6DVOGmWw9%MeTtHkpuL!%p*J{u!%11D8#o z7mrE8d$KS>lQLF2yKFU){^eRQQJhzl}JrJNT?DWd|-BjzQ&A==TZMT!T-Si*}?M7@PhaK9!&trt-E?Y zpFXd;7f62uzXK(F3I1Fj)x78WUced&!;mAi`EyWG@!;MT4w)23E+CJt~Ez zHtX=pd3Rtt>^;GqXKmhYsZ9-hoxg*Fm|&riRpnQujN{lW z6ibE)T0A&ulh{JGX~Zvyx$JmzK5FMM$uOMV%S}+Z-$!%9o}2%9hT`ErfG{lExM1{a zPkX}!CfL!G9`aBQ+JW;7>&~`qvNmbd=kHvNK`XwGQ~b8gG)gojLG1m~c8sx)Qt;#F zMn5AZuewa1Pc|jCvoe7onitY)Q-y(?b{+v~`!Uczss80y>(;h_-DyY0A}-J+w&pch zNhObq)h23ZffrQiY5GG1I&*&s_$C&9evr3`&qX8J@umDqZNmj-h0tN5>pd$&rphx~PIQz)E6B82p>=2afM#=q6u ze&-Y$NQt#qkQILzuh$Kx#A^bzjqS}AzWJUQHuwFedUZs+Ij@)iEYD=2cJy^t(O%Sv zJ}>g)o~W7LlezK(N*M?u3vOTO`O8xzLHy-F0n@7X#ObOD5~^VCnQbzg*_8ln@ga&f zND)SJsrNtKT`pKY6Q?t0lfOoPDJ_h}qMnZv8u|?Rz|(YvRd!#WNuk+!U;pEbTVmLn zuzPsmmR3!8%0Q)Zn2ubt+F9jUZ5==2UfO|$(pNqvhKy075h8R93|=@x-Doif|ArtG zT^XTaA;U_=^_lo*j9MoJ+cQ2L$*00*sT~dc3Y`UVR+6Jr8f~APAV!6H#%6`B`&uFX zQA8Z#N8NUGRQ8LtC&(qGdCliH*jca_{D5hww^LKL(yOEYQ|>Ff?t@7`ukGF}9_ofI zL-~{;n5InBn4|_oBzv@#c$kApCDpRd)ltWd@-_C$N6L9Y(FJtIk8+k&G6X{3{SF=^ zy$Mj3wpsrcj9Q0j+A8xDa7`Mir+6Imj(gtzlHGpc9599 z+99sLaz=a zd&hji8E37wmrop?S@0z(_@jqZZQqc06Wnxcd*b#8=8?t{w@{vHYg1j_rfq3ETFlw7 zFR4+aqdq4AGMqNHw{1>w49iATeht7P);>RGJMR>1YRSt%PHm^b4PH?Do*Os)*|8t5 z#uu8ubL;=d=k+fSh({FtONiquN2vzcSD|%gfrX+J{Ln65bx$ph8R(U}ZiKn^w%-r` z?M74+yFneBPb0;}M#NuCV{IF9$}~h+_kFrrTKO!oh##8#MNM0aUf89kOA|zN@;165 z9KSsM4s<5p zLu_i#c>|FD7()MdPf(NS<6RYoV_e)tVF3fybaU^B(6z`Daqs4+h~@yHHmJt4`t;oGv3bF}{=#z0 z;GZuM6Ul%O(um1|KHVCRVR+oTsK$$v5zifp{WabRVpgbT@wTFG|1EYKxBE(yoJW6) z*PXBvs7h1`Wl;3byQWzW+LmDR;88NKNp@H!{K)Mxb$sJMiu1W>C&=-|)Ar>mP1B*7 z%)N0lG5+kFxn_a@Tx;a=;FY~;Ps2t<^>UAS!==aC#Od%Ccgd&H=|l&>MXn1-8Kkoi z8b=yvtS_+;b==x=ypR}-;hS;8oYVLzGsY%wj`KHIdFVURSqFK}C3F)#YTX4s2J+FT zn_YaLu`+^~!}HJylfKu&S5+q54CBQqSRX^?Ctc}rxjv8Bdh21k^JAB&%YsMFkE@-|`z!0!`1NZxI?_5F%82*;CBlNZsL!`8Tww7Up;yLfA{hKGZ+mv@I^&p zLEemXeDQ=C=)8iqsq)~Uu_^TDk9y??iT#<&Ol7OGJ^I-eP8)7o=b6nrGS?OJ{K{~V zA=BO=8a9wa6tw(|ZuA%Z6Hl}2cy3sM&5Sf;6b#&Pldi-Vw+5`TTj1ow) z%||+_E?J*{Ig^%(RXJM?x_l#hUz~2(^G(zP)pR5>duUZHz<`tquzJG>+j)zQDc^L> z$eO>1NsRxjx7opj&sr2;gstaPE-j`E95i2iPL$4W=ZIO2%j7jM4RvHCW`rVO7MoM5 zVNY2{BL@)xlInH8;#l~E=Gx(wQumD%!t;_qH4h_HGyjCIu_ek8q!E3G=eD+r<>$_*qj zuk*Ky@f*@HK!GQRH$Mv(wA!3iZOrUfjU!FL@oTu&J68pWyh-cCa!3?W?-~j+YiX$U z{SL^gf(N07wp_3qG?(8%d{aYqlr6uak&|RH263UTBY5s^4XJ8kYc&zIil;#=O0e~Sas9m_k)AV z0OqBK{Z>;tg(0qtE`-Dy@2Smf3<}_ZOMbYHW{5I41A6amy}#vi5a`SZfruSFvY) z(rR|C1kPY7YMn>j7DHZhs_NB%e3s>eEZ252PxXOGjSllMbjpElz6?jDTAspI59Hgyuz4*6pd_&G~5_ zYCkVJP!D-O$_*m(RvyrU7EM7)X1UXOSHqs%cum}JU~BdoPbB-@pDvdw+oV7E?!t3S zC;Mg!Kf!N%)`HL}$?t*>+ryZ2zs=tFJ`<(!!SzPPV`np;YF`6e&ZSW+qb2E{P?$z2 zRz^HbeRMdM_3qM&mA>9K4SANId#Duw+eR6ualVz6wdB)ubAe3x^4MQO(0RFL%iPLO zOYzK5SrtcK*{`H+*p)pmAF0~d=44e;!5L)PS}IJkkL6eXF!=^aV~4rUF!Qi7dt>_*Trz`do*lj!HBlBbe=`@q~WX)r1T~)eLvcs zM0Ks074YB$o=W=9WGjByDh@-c3Cm+9*JkB6L-7pnW{oCoGrh$jK&lRq{JDLoYi(0v54pjJb!c-XC6>9!oZrwcx z#;!DqVh7TvvtD}^_zFj2x5k<0?M$1~Ku65wz3{OA-(aFD`XB;$hf(sFqGE2L!p%qd z6)Gu+e*!-ps>*@=&(@r6m@%mtFIntvo#@dj*Rr|{706+|l+qA8Bq&IA5B28HMBwJB zNjW8a(ql|dgjtX^Yjh+st_l;$#A6jib;o={XSsi;${Yw<(+ia-nZz#E(ezH5=N4`E z{`_*KTNxc^OES;tkh=>JQb-a`V#eXYS>Ky(cWXY4sY@QIHl{*rLknvcn}e)*nLXnd z=293=dSkmK#428*47WC(W~_o2cojq?TPjAT;taco2OxQ%pVV8`bYiTtcH;@)o++}b z$7cEs`J?jBr^kz-?kXxJzwQI^{Z@#N2_h&5op(^SQ!cAPi14JMni+~ErQWQAEy)TW z-E|i>GHZ~2%J6Zo`eBK3H4t?XN`QCj#sOYQN}12QE<*5@u=b@67>%dcMnBFBZ^e z(#noAz)CudAE{!GdNrsO^J*0HifLFFnI$*1D0^ZCld;LjC-LJ?e;IX`N0TRp$74O@ zmd}JEXtk?dIRXR!Y*O+ouum6ilCtHE*o=@-yw?9wfRRR2McmSGUvy!GvQMZbgxG0l zexKg3Z9#_mK0M$lvvO5sQOYQV;Nh08-4ZgKr8~tnpqLYqSIfDvn8(-9^0Khfda_xi z#euTWDuzCebEQ#+1{WH@0-2$rik}W_5a3O}_tk3ASfYgJ(AzMJSOgDgdsIGcXSxR; zj&EK=_EVQyU`pMD$b(V4=E4F{&d8_jeV;XKs-rvwC9xDmHZnccinr=+mAd`N6pLp- z4#f*<8Glizn5I0*t`4dhxBElS_hLotay{c@2j#u`3;?N%p;6=i?}^}_k);32SLsil zhsua-z7Xun%KU04Nkr`3Sop{aeOKx6-cuwKP8)4fZ&Z(k@JT32B~R_Vk4cdco2}4& z`K8XGHu!t;@Ap`U1#mybYQ$DA#I}1XOZjjb0Tk;SWCH@_d@;aw?K}_9n#)-qC?Rq2bjs$BL z$V6J^rB1-c_9UB2iF~m>F9d#H3qk@_R9Sf*8~t{f(UVnSaB{8JQhf!GQ3cAa^5mIi zS8W!a&2&Ua7-FNUV$PFe!|&UvH+>NozY2@J3Ay1T>~tZ<&oQzjuN}oFIS2!U6v@@= zKsOE|d`a-kAWtP9J-XoT5+vqQ16z`0VAt3}3De%^zC2vy@u=&1bxil7 z<@00UuFma}4-1p);L8kR4u~Qw45JWc55E{L?aKEVMK$m2J43?LO7O>uRF60w(SE%< z-5G;OKtrSS=%Q*k#rK>4`uMPJqT33QhqB8C5m}kBTK8O`YSw!{461bJemkfe9q7 z4B30frKP>(ycoI&jle0jSjj*)mK4Uy!=M|rk>+>mc|~oUnJI>HaoCp5GRz`U)-Q&Q zlnN*ikC%e-ZDn39#oSw{^3y|E&t2om_j=k9yAu`~+T!YuFYWAI+PjbYsTOHmY{sFw z%5Z`)E#z+7)vWjB8`?)#PH!^A zeafm183~Ka57oTqQj9^kLTh&L8*b(k5z%(T))e^-cfD?Ln zo+vS8!M@zUWpJH5G_1z4XR-DD{;*<*dmaIt`IW~J|CjVg8S1(?lg{j%q8DCr{(7Bl zXOwzfNCvYpWC5!&eJAX3@N2oya7|KjHXb1rlL|`UWB9tM=u6(iRo+*!65fYQZ>_EU zI**+7BbMg;o_00gv=_VtbxHF7z)-z#m2B* z3|Jcks*46sXMD}oE$!amtZqE2-y%tzuV3KS7tqYiEVIeypySEXm2de!ZrJ|~uO;qa zwQ+;pU#O_4C`3>)m;4nZJ9kQlzQ4O5OEduvqkg&&(R^*lvE2B+qO$U+7KG6qexzBv zwDv=p;y>@cRF6>2Lyr!O^qyBf$*2h6XI!d1M`oCnRy0*G(qYqm8qPNvrj0q&GojPI zT7KXuSZKZ(I@ymrJPO#m@;=<=q79nwVWM8@-1>{9a`;2sjaO_!hQZ`#lr&CQ=7tA# zZKxb$2I9EPfFtBhR;ouh;)qgrbV4LnKkg_x)Y3#7jLP!O8hIWTI`{viZkboRSWUz- zh(S6ONDdd>C5QACS|3`Q7)VkwwZqf(%VrlS3-!)|{m`oYx$d5jHprWV@p?i?=yjU4fEQ&2ll_(7p6@_2%~$@r z!i}>nez`?OD<8((T;{pMdzA5T1|k!A5Htd8RXeiVAjc|SPonV}r1_TBE1 zFY?fRd@2g{dwGyDj-qkCOzd|mDqhrvR$Ab`nzQTy73JB6F}vSQ&%V3Up+H2`n@$gP zKOU0XnDX;W)+?T*AK#|^XD4bRqYf@d+1a?cwUJrc%rr^dcudp~zVAC+@m@F{9{u=f z^%d01OZ4{AA$&5TdiNh<8Q_SfjuNflb=>9;-a1-eo*I9o>g4I79NzxN?DxO#i58-5 zW$bvKD+`4l*9&!#n#2x4xjn)gfy0|R+}wS9U{(a?;a#(r?^yfCKvuI{?CwuRQLfe4 zq?;D}rX$=jiP`{f$hSmPer5yh)9xU(XVjCwI*#=8rd6P7dGZXIv`~i9H)k0069P!$ zqxQoqt@_OaDvj=>n%ELHomK>#T z_1-FIE3wMc56KRO#7--jk2(_HYS!O3&J1d(`;>#;2qRT4MvwlPZ{W%va{!BZ4=}O= zalA<{%hmpEi;ZhCD;&wu;m#0-aMOHnw$No$@9ZoH4K4UQh3g|#xJ#Aoyec{C@Y`z= zelWD=y$wMyD@Nv8&#b~dZZ0mu_&MS_YnM_5iQ;6|krH34OgM`oTpesh6%LZT`xdow zT?&Ga@xw|z+i2^l-G%I`-oxt~PI2u$2AsX=SU%DLHsP5bVb}LHBsc_E>Dne$ppgMt zE$O$S>bUC1U%V~OW;P}WgDR#%%7+z6C4afBrEE8P@|SSL3BP?8J^4PSI1oM%1=M!BL zooCHAKGdG;ba$H0JGc&SHMiR37W`nzwr%fWN(Bb{Z*EGLfl$x(H1hwUb^LD_shrAW zS^%@*n!xv_HT{$i*p%b430Zl#wrbCt0{1|Ye4y?V zO%9u0*cMWu@YuSScjyX$p_R6#DxOI5_>*Xuln)Q|Adz{aha=v+a*2cKft%!vU=!Eo zo?jG_SUD4M5dG;%UUY*H-4r{neW9B9yM|V+yjJ(x&!*F|*htf(sti1axPwWr9z7!` zTPMngty<8`%Fk1S2fXyA=9eG4wC0}oxtm4pBzKhVdCv(%9asf{%#_J8sfoDV2yV%(-m4lNyw5cas8zEJ;;;+6%s}ObajMAD_s2LB>Gy5-mzoC=i z^%+ZkvYR>gnn9(kusN0O@^aps3+$nfkC*Dg-Zd}>EEt24-{bLqkNBz4>X_v*A|r>R{G7`;A+@iN-PN-ay0N!Nyj!vm zim5lQO|WTjV%E$4yyRx8&L_o_75$~@Rax(k5x=&Lj&R%Q+ek}FkL9R4(Y@xkNzeOV zQ?D~8rG{iW$9U-bBJg!vo&ztr+cKULrO!ja`>g`$BUcJ3X2gYEcH#Tv50PW zLNZhffKP~~^nMnM#-!(KR6D-fJblfWwDeep@&iFYirZwE0)-$!7h&`D27ayvOsh%( zf;Umo6j8XAZGw~$$Y8YDhh&ruHQ$(OIDx}gZI40|voL>R`@RuZ79xE}p4odoA;qZYOvWA=5OgW-fJ#z64B*ZrlK#qS z^--o5jNryAbrPXAn0pcjrpt%-NjRrGrm2kbg2d>CD}GGf-D10I@|=~ zCOZu)ur6C(zI$tpHdoU7rJW}L=-qwb8I0<*+q( z)hmfq|ECX;)bG_kfg+4V*Y;x`N_73mK53UE$dObhc!mB_cJ!$G9QM=Msz;yyE}Qr) zD^=g`2IC{h7kJ{ae2OA!WCM#XUc?pyinxPd(hzH<0U#d8Nt~!IHL%t#C^^xu9NV;5 z5dL~!e7y9Q>Y{?}S!HfAnOCD)ugz%DxT=9&Y5{x}f}=ir;l5N-|Mi*gLowYnB+s3N zF>`Tr_9!G8)=A9I^DM@h_$4V5x$BACi@j>dJV~@T> z@ih!lLERew=C6Gcr5s-pW&WL%FA+1Y!&KSwfUGK8As zzifY-*V^e%Nc60&;gwvESy{jMWGW><&m< z7uGxe;JiLpVbG(bZHTSmm`*exiHQQI-Bw6UO=OB@uc4=vYe7X zoxP!5WL|XB{2SCotsM-PrS>|%tJl@yY%A8K;bf4Qs98{cLRF7UUmIl*pKf(zx0&uN zjrnDsl)pHp`1R1H_eWWwrwY=XKi^JactXC$S`9U3E~Y(=+%H#ak_)0GVQnd59O!VA z%p-cks!7J8PRbTTMy<+g07@dGKIL@mUaId6MGN=$Vf22_%S8)QSrg#Rj{6k$@`rog zPw>KZYbE$cIgXv;@gi%?a{3lkEmKi_3FXM@rG!jLWG;5zhNF+?Gp?cn1)6HtldpOg z&2tt9zp3k{beUJZAxj>*id|n-h`O*xxwF;sc)7(CZO$8ZCziA-+~X`#XHj-LLAR^? z`99DuQmN*&Hh6#(=0^{Vrg6zi^n(5G@@|bC7#05@ce~JcE89gUuY+}G- z;V5;k&d28{Y5xaW*p8Afkp;@`6o(&$0PZ6DQ4!uja-6m3@9X!Pl5Qm&4Qt|iw`Vln zTW02MjIzp{0pRW3YO#{U+5fw8Zojix)5`7`kaJsW(zVaj!~V1w#H@$~Q0eee+lSAT zTO;n~cIv1{ZA_48&q3l&$VgcZx(xrmUs4iQ`iRCyHeEI8c7t|tzLC0E_Jz~PX!!La z!%GG-BBiX;Sdf}=!bTWi^@z9&3W_ita4A4xR2|)ESVN=1{H9a1 zpXK~K%$zhn7DlUA?Fpe6KVvx=RGRTBFmCe$`$WMX>`P>G@yjd9^w8c}r z&v#^o1{0MuUp>8lGG!f=Yc(a!x7@@Xo~vQ~xbpGqE-*XCZBUS#uhjY8qwmG05l!$p z6`l8x2(VJv#P%o~RIi6nm5gEOfdt>!=k7Eq9qg*2x^U~Bs1qM=RENt*Y2tZk;(3l) zd*njt10N~VKK-)izy?W+cwm0*yORo$G~ts!f6soe)_pg+`_AR1+{2n;BJ!*t+V^R6 z$tPPLmIA%wcoH>}Qho;9neDPfnFO$(XaTV#)H6PAbu_;5oTv;)QSk}K7x_el<=vv- zmvdo)L-p@ioM(@-b2KQe`A`J^DIdctaqP2szG{$-%#?pZz_I21U7l zPBke@wylXX`JUg8Jb081H!+eYpv2ugz0 zJWa-3Csfv)i?ZDsh;Ct_x99KrkF91x2!$a+l@ zw^X#7lC2DB5{ip0l%VA)>9-Diy2Im`YpHV+NMUEEmF@C{!g3>{Z>2tiuOfT-y@C^q zGPT&9fVg_>>xie9*9CCpYX=hSUx0Liy#FuvpMS%BsP4D@a1s+Z#eddV5N6Zaah9xh zUHV-?Jq)hR$lub=7kYW-jmnBVA={-|oYl1-kp#}Gi1=Gk*q-l^lii;+1qPK|Q}bZh z*w?VjH+0*cm2gU?iK-9LZ;H`FW7SO3S8Jm{-rny^C1AScyDFa~=_d2=A{lk5AeHwf zXV$P0jXpFqh8ti{n8Vy^MMb(_kCOrHy>Vv6UkxWuGMy%U5zPP#n3iu)J=<_)o%;Yr z+`QELaNEkYiH#-VbfMQUp?A$$q_QG94=GO$XSRwH2#7-RtC0)~qr;~|<5*zPmgdI- z_a+#q29=nW1s;tvJe4RAPv-sT=*dnWo596(P6w2QjE2S(rt2Ro85`>z?mgD!2J(oI z?-~o9Ted#Gi-RMg`w);my0cK~yyYUvB#b6)zdYPA+d#x2uy|z%J8zMnrLY*Y5OJs-XO^+0BgG z+R4_q^SI9$|IpnmhPT#BgY*%ZYpY2c5ANwueQdD(%A>HY)?JPp7+}nOUfs;&I`4l@ zMMWBW@*6YTqvxN1Y2BkqRO`NjDQE#|<~!x)lf37Ufewn%V z)mEHiSCQaCt$^dxJ5uVSo!Bu}@1yT=L9ONWA||pz@8)x|)#Rk$AvYIqCEThZuol+=UKoM;qc-*x-bamzgtkTjY zdZH(@K~2OsLecB_G?gHLnXp}1uS6QJRTi>%pKirUHj6wre@f*8cqmNM%!cFVclLY) zOT;h3xF&c)(j%Moj^s!NHjO$L8@x>a_DImzkrE_a55 zdbvtuBCM+n<%gF+RP)+=ApUC@lr;GE#R2~7&9}n}>OIZh{g1yLyQoffZYi7~&5r-y z=xmezz`abfd6(4JZB%K4iZl(Ntf6~j!!^kjRb$*Z-{=zKgZ=sGAY7@AWV03FUDOR< z^v|Y!iBer31rdmqT^n;YuHW0OzY6Eu=xv2XQ<{(ir89m;M0QcjP{VGtR2bQs#y9#)C@Ri5pl(tXhmZ5?4L>Pwwe z@RCEC40O3r+BJCzCt=7Cs;J=73)qmio{(2oHEkJ9k~lWn2|NuYT4YFjW0O%`Ler&U zQe^xibQkYboA*gq>F`-~e#U^gx9c2SARBH(zFA5d%<7=P2LGT&lq36fA0a)WdVxd) z$9;AOl~b!??q1RNODlx*WBzxK(XCnes$Z>ac;eUhML9vdqSyG*JeAqifkG zeNrt_vr(UEp*2M%5q@{rweHN!ykUNCD~MRQMfiSr971QGn?InLGJnz#C%LGr@H#m% z67x-hK$tovP2bn*ImNS}Xt6oIQk)Fm-g`;A4aCZ--gHDJ>RkS>jj1(T~RXBli)G>iwmN) zZnKh4c8ZHRZ}FRdbJDvM=;C`K8L)ff#M?dAyc4@(x#+)+C9o>XA{el<;mk79 zxl>cpvgyouOly->lLUwPbhRdI9zHm!#FALlbvF`rbqAggn!cnmD&^--9-n9O>OEo- zt1$`7SL{FUTekx-?jJz3YT+J_<>jONm*^Pa!8+gAv+qN`R!pL89`P$3c7M_1?Y4uFxgribAaN2X6IlQ8s!x5)q3TdCUwiM*G}*6i-!k3 zH}}PXSzyTmzUH6!@N`rKOVPWE)gE&(-n{v@315kK&2)|^JHkHC2|>AEjN(m$pfTgb z?EE9&pCwzPM{PpJ?;0fceqaSIsn2?~iYB@_+1+{o-E)#2gF_jfGvDGxX}=Ig>R zUlHQqn}VA|AHTJb&0lXFu@W%t8c#?{Qs2pj-pqO(txH^S?|`SuffBTyWOG2)f9=^s z_TDscy_=zb>_6pm&}-N_cQZR7aUeb6wP)F!${qA<;H}M*2M&KPZm;k@WBfjuXJ(#2K!FjQ7Q`CjA4#OjTFXijfc5<;T5lPFB!M(`iTGjVb}h=c zA35uaT3^Sa5B&2EmGC)LqpuDwVxZ711rxxF0Q4pV%KX#UAljJbbY@0Js%!;#!Ix4; z1h<#Y6AS{TfT&WU=Bq8LzC?i!*7hFp!>HQt$ob%CH5h%Nt}7dd0hpE8ZnIXsgG2WK z?G}8J(al`tGZmP+LegjV6FxDzP5x?Q)`k1V(vUZ!6)RTX>|!DZ4<4Y=o8p8_rpa=iwQA~iIkvlK-XQoRo_7b3sjl1Er$wR=2Wlcn+esxtqR}Iw z0Pbv+u#tw>T`h01Ji??~UO!ln&WvUV`KE`vPD7oOWlb_{F#vBRtBu);Ww`zmB_s5= zZfm0EEunl8Mp4oHRc3G%V(|5AZUGx33wtih?NZDu6mn)e?YaGyo%d+hxx1$Kxv zEUO3GvxDemLNVc z$l`}+w!2wYG2pt1)@Ew6O+z<578td)ko=`7p(%*yd6GXtK+`O)nhfT;9oMhnNf^*s zcRC-4>8g(=Dk)&f2j%A6gvAxukdvD0@6kqTj3t8jpRtmUtXnpR5+e!(ojfn^(cH9q zC};;3(J2!B_1$Z1Sjc&v<-Om+?IrNeRgyDD=Nd;UhD&_g9rjpB`ghaHD_;mKMIETC7ujkn zK|9f)q#bIlw>lFe_fY=EKZOQ!_(MM&M;!B*mJ={^Hz{pLqzisdTR=l}rTB3!)~lOd zdCd73U%q=xvMfZE3|HY~U={1?2Oxs<%I&$fTR~#|8vk4$YRl}X^xTb2z1C6|GH7N1 z4!EhxEiyIHbgXi+kTyxzV^Iz`m4@^Bd!A431O^5syUlvsQr7yZ6D{uD+DT{{`ndR9 zf$2%~Bc+qQ-^ES||NdZlih2rty&phNK~K&U4f zBYq!oWupv#w(6gb`7K;~NW-9Sij2tSg@KdD*sBJej_-A3vTzepqDWH75jNV5!e*{z$YMs_t zZ&hGHkJ?LV6^Rz5XJnLh(m zuh8}waN|Mq`fQy9LnOb^zEaDIP;-BTo(7wmF6LH<`K-yFU(!YZ80jQWf;WAQ?qpQQ z>0@FFU;L6v5?_RlFf_pOf*|N@dyR2vF>F0rB*n(_IwY~th4nYS)E7soELtSO(~PEx zHL)GO&a3-df6g@X-d7c&H}J9G_o|#_W9#eZ|2&J5F>1qrESmFf9>m^%`9Ab%0E4k@ zRzNhOREW`1JO2HhWmg6(D+BL;2pYx7j=`7j3mkhOn@|7R)Lz-0A4E`0f26@H@$&&J zUJs~-uva)o~2;~5S3LGg|nJcdd$v;+8@dNPayg2 zEyvO5GE}?aa^3WNcg4`;ZKkvw=a;o$*1=vC{#<@|N0~fBrI|P+ODp!n+QfNrhbjK= zmQWATsNN?@;+0gf4A7cCv3^6%a8q$x1qfL_c~9rf4{mt|BKABa8{-J#fqx{o^{(FR znSX>sdx7EfcHRy*DTYuL(LTEz1gb+k%f;_FRB4MhY02Zp<%PiYX{#V{u81y=X7xv` zH^d8-0tJz{m@@Su<<^E~5jmimEX2gl^571Y=(R%7 z++f0&r2IqsL%_KTP>iz|!a_AksX2J48KNay?tY|fIiC17G4-<)Fn9V54s*bDHsbjq zLB#WSf?q7oe$C9nqE3i_=#EzABCNxKbHE6S5)#-FA1G6h=+*KNYXKP@i5LOfCrZrcS*QU?MOxDmZ|8x zFs2KDV)E${FRF%Bew6QXl~yPdzh|$lZq^dq)g2fJmGyF(0&h1}zwhCuiV_!Q#m#>& z!Q&Q4#6aUd?|*p;M9@%++llR8Xg#Zt0AtcV!rMEI4< z{4w_|5@8t5Hb8do?mel`K6SLhuGcV4Vnxe8eUA>EjoK%EaL`y@HN^cSn$xs=vrngj z4)>!p7Q_Ub4p>ZhpPS}5b{os^dFhCvtH4@mjojZ7Ojmv1Neqgcl_&NJn72y2*HtxP zUwv`CH7k=Kk`*>48EXQO0sz2)Izl&jEW_?EvP_;BjQJMgb)q^G_Hh?D;n4u=zNK~b zp92(WPe{nsl%~>|7CKTy9t3EAEb4)t7( z__nG?yvJCqu)`Px!=WVeUs!nk*+5|yjXU%>`R#83!>zP13U~s)b&`)A44|A8bh&Dq zytHshD}lJ2H#YE7x}pEDcx*WMLyBGf-6#PzSTsG3^2LBllHZ~E%e`G^4XCXi{$O=$ z^cb(7?TGL_rhlQHY2e(?-(bMRAP|$5MmHe3*Ki3A7SDiuKw|LUOD71P2pBbi3C<)A zXSRaRcr_SP5B9}!3><}(e?IFAes40?jxntg;+fqts`)qGbnb`_h_-%#&JhWeGlW1! z(C9YX`Bh0wBd*X&rsEsq%BU68T>l3`k~Z@N7IffDi_c92{20U_%I)pWy4C53E7n+{ zLC4H^KB&}H?!Gqgd zS};nrRBa8-NFOLRKBkCiKu}ZjoXfl=`iw}8zYhh=^#K~CDvu4 zx@XnovTjAI%JC~)#mlX zNU`59K*SGqaM`bTVW1vYpun@6;;+(<@yKZ=K?HXXAc&Di$Az@5f;@pSkF$ zP{xN_S*)a~&6bJywkXYOp9ASPNVNR0SLgkAW^Xn48H!d+6l%ljzAOd5f6}!{@@lgQ+~)mXOCoLA;DdbX^9TZ$!IIND zV$gnn5G&be|MmjM3a#o*Y#cNUuW`q&xxeqt$w1K78*&;MEJ#vksV6D|uh8;ByqcgB zJD%ib?>u6@hEqjSz|aVG_C>d5RQ?~i)EHn5)9t0~1wG`P@C@1gVi+`9Kry|Ricdv# z%k#LOU0?IG@e933}zDD7MB+EH_7Nk3L2M zqtydo{g%_@Gw+Y-1Q2q5uh0LZCNn&+O|(g5C@;vV>(1;KSz=&%FN9ly4|KF5{xTB{s+&7 zxi+0bfQB;U5f%&2o$*reEXGvDQgV2tZoZ}2>cqI%$zPGhIrY4V>eHzSLXtU`+5nQ| z%q}+$T36}j2BHdXl7yj=n5j`9T$!0S#5im^Hl~xAVF|9aGHBjw=X_VFeheb~XG{6VY|^ zS>s1Y{dO?Aj_!0~VDR zv@6^nDTg{lXG>`a=*@%Ruea;>#-QJLp`=>1L*5A+0Ne@?n}>81aF0P!4N78=D&OQr zsGLjy3Gnz5>$I-iMLTrd0AA0<8oP2uss3j#{u%hP%85B^&9;#B7X8a>oZ9!8kQ3Wv z@Wgg_PD&@>X-iRiZS&j#&$HMp@K>{Y)+2w^C%h7^3T!jq_~kZUANE$CW4iv^ieQh^ z_5)>>Q2mw(ST4B+zwTsN_7)ol9BJ30DiX?Q93xWruL!y=7T|8Z;3ZJx5ph#{EH>*l zWSLOyVEJdRxtb@~I1=?lyQ~*^y|p*q67*h-#XNC9U9L+mQnJS#xppf(RBJXIYy%POir5Aegn%QD}@v%i0km1aA^-Q9R5(Q?-8Ctf|r*|T!m=3;3=N*2WI zJmYeA+@L;`fhCHet!9@1_~?~lMcv^cD048T7|wniwV^`sy`w_v{TnQd*2pL!3%)-- zh3G_S%gc%GPtZ!ErB#TqUq&-XtEk}JbHW#wPAmAL+|`n+q0Vnxi?hP}I;-_qK3LzP zU&Un6z>5$c&uIn?Klk{DTK88;?&T{rv4~iPJU|HKoG68tS^a#}`Bx!Or|2)KkR%U1zG~d3Gg$fv&b#7nCzTK7?es{|`=leRWs7fQ{Zm@Ib&igx1 z>6dCa{G5$yWLt@G48R5p*foVzH>_~n0fy|3r<0aPAgT#mF1(-zw<89)fEPFUTpx6m z?=@Ws{M+%;1A9pb&)#=hwB~3mNxS-xP-NCbieSw_c+A_kB^@K^Y$I?=}=&gHRh33F_?PoM~WrPw*OBu(J4n z(e;*LQHF23uL@FvAR!&2bhk7T5<^LMmqT}lbT>mYNH<7>bhjhmkkTbx(zPDmwb$P7 zTI;`$gE{!XH|DvY`-=1Yoym2e1eHQR1a+)VyM@U5l*ZVE4)8OSaH0oDtvL61DaFOJ z&<>j~Fn~uz^^56|W*bZrEZ}W1IXQv#^`Kd2X!Zpl>(tfA&zt6~^vcswNPII1$h0LH zM+tOw(pw!E?j`mhzyx`V6Tenu4p_KGsI4uf6aa6}6aBEPBaVhTXy%b$@Tavd>uWY1U()Wzo@^v)p_=rq*6_=U?CRUHy8W(H;yZVxW;FJKMmEt2I6cA9n2M zc+LA*oVz>?g{=Yj=K8AlE=i+jgR=tBtNb)8^}_XYtk_zMb*hjZf ziz0GM&C-h~>}qN>FmUJMDK{^^Y&?gVpG*s1tn7A(l==Gpn#?O`(*eWGLB2Wuz?V0V zgza#mC|FaFA7q7ttM(p<{kABmZ@#}6yt;e$$GRN7p5ZY>eGE+IP#Hjb z^Ui!IOr)L!#7I5NSHwR;y2O{-9-AfQsTiF6oTbZpYrI^ui$rBj_bn70QifAes`mFp z$Y-ixpD#Yry(Sq*(nc4fM-E617N;T$`^8>Di@wQTP;Y^yYTpiBbX(5;BrFUb8a1QJ z?8kiZTCX{N9Y`m?(TPa`%lj|x5mAz<0o4l-i_Mm4{z(a24Bwazy~;S=g94iJme%$1?{nZk?;NuFn!%VWTHR-3TL?>LCkVJ(8r4iB^+N@`b9 z+;I@@ViQ!h&5p^x9?iA85F#D`?BF`*RR1^F=KpkMpgdbRq1TiMm6p4zQdJtNt5l;( z1mgp|f1MwMwF#J8-mhiXKm|q~^*PIT``*ld%#VhlF=bfTz1%?H;2S}O#@)PpNV--^q7kzy z%^x5}lz|!r5>xn@b1XW&&ST2)Xu~_zH(<2}mnDRG{Tj0+I_{{Sud(c#tHK#WHAEX6 zelDCEJN@F!!sVpP)cOm{7G&6Rm(u{}lUf;Qy^!(!y7^70l;_59OrK%`P3sY2f75$F zh9P1-4I0O?uGIO!5VV(LbWyKp;d1^9p}6%=TmN1%>Dh{a+!L4=G&RO&9}UjM5}AndLhPU>nep^FvonLHx^0Vkt}o8#3>Mpjj^yzxmgPKq$HpU&-_!d%WY=?oUOpGf&>%rD?wEgEZJ@u1O(Bv9_lBnMc$GqQT26w0?*hM%9QZ%*7h3gY^?Oe&@dW8#@S`ob z4sT(Mi>MpcKFwPpDB@kRbch%SJwn#D?{oQ+Z8FV(Z*C4)LPx9vucHe+7Ea$d<9-4RX2ro@MrU zt=Xc)T}j49B9z%i*#T!-gz3e3)#fF(s3d;BQAwm2Qa+}Td2!Fq8r6uk8+k0ivyB~VGq~R$wqm-!2$Qh(D3cq^PE<< z{ES)oq&_n*%ysHql3=y4>En$7I<&mt0#5L|E_f5CeX8$XPhk#|(E{6eA3%8`CLxn~ zsZkD#E><}i^BONTF8Y8()BFO^N`xA-djlOY^IUcZBJP(CkQ8D$Wa-PYYD?XB6~DWbrr;`O3Ex?|SL>{|qtNgIGNeBvHF^m#E##Xbr=AhoUi>dgf1 z6f_WW(0wKm#r}46XJ_PTmyTNoR}4ho7HEj*w`$FNq_ejhv!`uE&)vVtzC#nIp^r@& zsW>7vLEQMYP4AF7^;z%6MXje7s!o$_!>|d&_#l zD4!Me>NO?9M*)fU_Rq|`DyNeh{3GTjGn-0rLOo^vi~S9vEior_FPO^-zO!TExjH7& z53>$%_qrS;|EUaSf7M$eJ4Zpqp%5U6(}YomN;lNcLB!#!+&8zrj)VM})iibV56Pg= zLqqi{5|ny%*eSh+uL#jtgBf(9)|ENGIKC%()eWGJOti_ab~UFa7TXbf0A_F7_ip_v zY(CCfaF8=C1P`w^eD}?>N+gK*&2lA`ZM@ z+VspF5E2yze%OTxe)2QhUnSybHNQYEN^cS+pBjnjL~3?{GLhe~gJqPPrOTD7R+5F{ zY?N1oyxvk7gy?c9%&SicTbavuw9g)IW;&a9%gXrx^FxMkJ$c5`lEIUyZ@Ot4o&yIk z&nFhxa{rHU@4x?g21E<2Xj1%qyuSfY3q7#suM-HtyIm_}Yg3Y`Y-Nzn)W8(Ggg3FK z>%|d<;%K;_=ffU_WsFvI8h^EE3%g_fxSr9HEm-)Jr0R7HbyxGhW#~TR!q=J4XlG{A z(VN+vU0)hj*Sre`yGB?E-CmZc)ux(TORUVZJ z3B-j=rh+w9os@YniM8*aL8)FW}Sq(Cgi7+W*uFb8>R_u=(A* z2RN9G*25m9&ytFi5lM(iZpMhddK-h2j3yxZr_KUyeChjoBV#a?OGu-rFupKel`}S{ zh}Q7eFh-p(r+~5qS=ABZJ~OPI_NLf z3zS|Q!Ac7r=BSHox3zfpcI(V)==P7S(^z+4Mq_w?f3!nNrq+|aXLpUxqddiqBij>n zx!C)m(~BdHxiv>`fG+i%{w*iC?@UiDe9CUahdi?%4-W%y0Rf|QI1_=r2*;6DXneV@e4W||hY}>F+)tnpr{Ct2%@?`sfpZ!Pe(wE)ls?i8a z{&ai2yO*KTx5MV`Ubt~(R@@+hhzf2*G41j&_aX4u`oL-5utwleiyINeQ`Z_4TWU-B z`Zrj$pEISJYQHU<5X+Nfx1E0Bws1sHU+)?}yqVd~%?9R7$E3@7fOOoR%hAVSt+guZ z7?#Jr`f9FiHW?`~ql^fZVo4~2r40D2bu1d~WMN!d@3lj;*7%-&=>qfi8&o zyDeF30&`Q#mq{%K8T6{E=T&VSP9| z`VW@1z=RC5w-DyN4c8{y8v%j8JA0WfZKkDF5-><2+{~k&WAIn26~SVirTy8t)$sOp z7sudNh|@LC%r8ph80zl%O5Ux3cdDgo&Btfkzgpc0`h7HjRdQRXkq)7F=VLgLNv^xweraPMEq01>^^aPbL`P+`XQQmIm!j zCBiv1%4$z)T8R$~r7tV8(^@^SF>JG&4T|Q959MAwDP|tgK`U~GD$rUyvus&R%r4iN z(uHl2V&qo9CrM!_fW8oV*^Ui7-DT#YoW{TL#A$e-}cH_FjDvk~v!x0Riqh9VfuIk7=)`K-7K7b;ASLa$tuLaU8;%1pCb+9%{3NN-WVX)Q6v zp^$V4qp%p$9@-_qe!4LlK35fQv{c0;(Gvg2yob#K=BrWa^;X7DaK~f4%&en{>BM3H zi@3=IRM8qHh)|G-+g9qVxnSbSbhY+ywf`MU&+7TUkUPm#>wNm8!M8McA^@Q6h|U#b8gBK9cJ2q|s=PVd6-+a@H>{ zU*5(#-xa!WNGDtflMu8x!cd%#3Di~B$ zXt0kXXbXp3?3`K}Z+nk96hxtCv|uk*qaX<0TU%U+SieR}x_Rjg_tb;S6!Jn*;_&AY zv*Vulh>)JL2!v76(OFb^Ro=GYuAgA-uQM5o?p z-5ZHAr7m_)-eVW%Thi)JZU4?G_Vjzo8$UZjdja)uN2tdfU5k);(K8!VyfZ{aF#-%2 z3(LRP2M1QTasVPoK+c2Od7TnGMY3B@?DB8SWNJl9Jqc3U z$JYB1k>;hSFTfdJ8a*SUB8MB0Y-I>rj~@@ed0-ip-@Bk4^1wr8pJI2g%>?3*22rlJ z8#>>CajAig2~tkixsSz|{_MWF*95?x;@Tc7_61|VM`|x4ndNkpmq7QFl_)45Cgm}v z=T*q#>u!`c0g58rU`Sv+iFmqk$v=s%6!2D(%9?CgUurltND*0?k?LhGc(gq94Mifx zn>~uQ^ueQR(gdIg<)@f(bNqvuJq4g3t{WK|ZC3>}7}H2ff0;~MgA{r{m#PCkpHf_E zx})CJX7`Rvf>BDN@0YSVXWAGo%qH5pdxcQw zs@^n>AC*^;wfw zyUv;CMHW}sPrcZOad<$)g33G1>NPyN`>ZMxgKRh~b6PbM>kYgL@w==cb`6;!S&L=T zdlW1aoE_P*G97qLR&KFVdXhl9{d_o>T9$^LgeX+jLbt1F(h9O4JyAZl-d!04wB| zi(hW^Rn2P{fCg&o<^oWU8@nyK&iu#5Bcqrm74F>KZ@B)-GN-$!g9i;1zLv%gm}i4+ z_ScFK@nB9B6&P3vudn8#jB<5t12gm|ZDCecxTOxnw=%Jl7Tqg0Vz0o&0NI%6Y^pj( zx}z{jvvX6p-qmeF*fu56VJy`SBMy?W-!TZwdf2JEp58PpvR_AGMBt2aJMIVbDa*Qv zl_WxKM*AXIa7V$ar?`22eUYX%Tm(N7)wWk=a}^Gc0L zAXaJ5aSJ{UM=J*>(K-`{2JCr_WwnO4&QxW^CvF3nT%qEW#MG6HUEzk7WK{5LZUrPk zf?;5G;A|Tif+?)3(|j0zEiweZy&++6jX@1a z?yC%J=IJg$i^nr>BbvfbvxqkD2Y?{B1(@vPLPhCf;IP|6T`@z$kBRueNlJktarT8u zb7zTFjePv68t@5LZ1!E6rUNtJxI@@I8E#GJi1bvmOYES7vw^keE z<`|_ZT6TT)X<36Iu1X+h@4Q}dookXE^d^x$Rux^zcVIe^S7DU8@uh5H{4Bbx3Esln zi0`t@G>-z}RQnl2md3?1Amd?|LtKzTL46mP$w2{$tCIhN^>$l=L2p5y>nHs&>tRbG zCUs&aXv>cKGKj<1!0q?K@Y{vISps-d9uR*6d+YxK@sRspkD8?)W-bR~`yKC4E>ApP zzIh9{fr@jgIxY|FdpQQX5~O*(c{2`@0rGxUew;|gQyRvzyEVej6@d7R16)E5bzzMX zpG(#F&c?X*7Hn;8p8`GqBM6lHF`;y-$nlgoXVcrTGk6KXluSfOC#funb7SU9_yLM4 z&!sS4D(eZP69t!y>V)Pdy3tNgm6-|U*JRV`X{SU4g*Z^d942oD0je`vk7L!tux7f5 zJKftO&u4YpY(=xv5!;rq#xf`AL4YOYF((EH!u6XTqgw4+L%!*V6TR&<-Bg>!IsaFs zGm-!)1B;JxMzAEYb8x(`W7Q`@k*NbE5r?9Osxg2|3qUklUnSoaM!aYCQ7Sy8i71ZM zXM7n7m`Nqo#MOztmd{1$KA7{ilK&IHI8b%a_iu&rU!(2& z@!|on26&>YoB#m=QQLg3Cl1b5Duyf#HMo+=06A(z9VK*7yAu-c>YMK}t|L>^U>ao# zbjU+67db5PZ z?kcd~KzO%`%}ApZKENVN563kNB(i3I{>Bt{oj=g`QorvHzkahp&-HeWijrQP4JrH8 z9K32ZH*ETM(n*))cm~L>u}uOYfu5xQJzPqurYF;L@q z)N2&)d4j3-_k&|d_gtH#$nZ26lar_`UDangY6zIL-0#oF7Qi6vE>|+e>*_~w3r;=Y zovvn+S;H5~HxOeQZ51+Bi@M{$5_ugBHmdMtownQAE|kQTMvq7iFQ8p7^=6=P)DbmE zvL^?47B+edJvFvugH}Gax}_!7Yw|K{s<_`G%(a_iKgwj@42HaHG*-B>VJFGC)soQ# z{yb*QUWEUm>Uqb!=nk0|E3NlU`GyINs#J~F9=aDqE)@?IiG69@{k(Wkw zI_zP0GwM%6ZcH>(U&||-DCJw37GIxKw69h4gIHH4qfFgiU*qLF5-kG{k(-RSrt-8nlOq1hAM)Fd{cs(&_S(M z$FEDdxcYT(Pcl9{5^`CLFRh6T3`(_}z-Qu-*IgRmxs_>|)bB)n&21%+@z?rUHqaB; zx%tpO`y0~9j)^|pSe9)jW|W)PS|IT5mOJe>m-q#H@2-C#UZRpCe^>_Q2Cl?$)SwgG zGOqUmrzleR?EMMMyZ`vt2voIdT_~P4Eqlaps$d0G?bM|S`=i_Yj;@m3T0}hGh^z#Z zP#r!5{x@fp)Ca7xnQ~ureJe4^3L*RLorNAKRD%>8H3+M|BLb*WKeEOli@* z>+wsg{1O!|mp^$gsUAVf6HKhMOOGvxz^A~#JSGKi!^*WM0ZkT164|i;m-i_%&Vfu? z)+07XQ2D3a=AY24)af+=4V?t*q(0sr_2H(Z#Czrl1)c0n@I^yY0E;@ba(mWHC>5Yj z(Bu?009hk8@#c?hp&i2CD=>rW zz&(BTaPh(8%2=zdd9H5Krg$tzG$+n?-_&Q5$?*9K%=>WF|MAk_6Y#*#?C09fRA|?Q zMzM7?ceDc;g(AlR*#FU#Iw52VG*=Tp<+N*WMVS4sK*7wV$#q&Z*_*X~jDsbH8#Ah1 zlah^mZ>hy2kX>nI^cwnjK{TN_GQC~g^70aa=qNmI#`?IQDS1A3OvD*vbgi^Ua8h_5 zvr2`b@a_Ly{{lI(xv1qK7@B<=ou7aB%&aIYX%W^Wpj)`d=Rq{^= zQluCrkJqP{$Ol?)B9FZ!nAd1fKF zbkGYX0on$}Z#4^f>6rg)^Gv~->wG_0?Y%}F@2)eJ*|{}}Xbg+^V4&0!2j*8GkRsU{ zwQS*RJ>$$DCmjQYF)ju5_TBlnb{Q#}W9GB7qGKbsk7AFZ>K=!>!yCGP_jf(Jr>1l&f@#7{1;~Tsm5*;01v%D&Uk@57%Au5%YdfZ5a4JV+?A}jwS}`J7 zQ^=K9nX)s#=DWk9qM7nO^|?Z-rb`+}0-SKp3U~<^t`X)ZO{kO`IZPV#Ao!)M+k6Bf zPAJiDny9|1{@2_@_iY?sAj3#TCEZ2?^7G0l!g4D}Zx^!7RDtb0w*|RF7q7N8+>vi5 z&6Hl9k$G&BT|NnNEi}XCAHQHbWa$G{Of6bf5Nb-I2F0ew^Oj$fI=wr2HC5W8Dta@dRF1?hJ2KvQ&^W!pHm?XDjlS3J3F3}AHl#H{pSrp^T%a^>zX0HOes1t( zSIt?|xX?x4^%!8PE=2cJmsM&c|m`1PJwLr@SIs?)>NTU-J)4*dA5zH=KS+;y6CHaD7zx8@^ICQ#+7r zt(!b^ZvaclJyEh<=c}N9A)kGaF4(Y;HOn^hvE>?f5jz#H|HWDGt5Wan!rK z7CDD4>bw&3U#10{zP~$-e59d|JNtF-UcS-I?fdIe?}si|v*PnXZh!`qHN*d92iV;=GE(o0E&w%jyzZY7vss*agMks;c%4RA#X^#JLU zz6?iM2``PA3Hpdq6kuOM8@YbdLRZ)&UtJz+zOJS~#-uRpe1NWEATehB`;U%CRsOVy zVlqw|8t#mSxKT!4nH?=78+P;$KKtJ!6M#K*PpD`qJ1}*~HtilVUS;zq{Em2#H9x$;{sq_e@A;o8KheI00;?n z5kE*@9&v##VFZrSxzV}j`CP5+eXs<@c3MYhI{YQAPu2t^`U1r+6H61rcOiltzm^9t zJMVdbrvhzZWrA*Iazf))xzO$O-ugMcg1^H~`T!=Z*D0xFVq! z>n(}$YOvBof`8wuEwnAQ>R$>_|KqpFHn+Yqvubg=ps<#^eY@WPf4IAcYXUK6d6n_S zB$C0(@?>-}GgX>_Bqb!^W%r?NpGcZiC+^c^-}%Pz2h_GK%FTIV3MN3B7o4mX6mJER z1C7PQfeu$}gT^Bw3C!!35qkL#;;ErfR53FDIi8oELw|+ z)qGk71I}t|udty;rOnQzM@Qxb^ZDp>B|%ycGWL=;AydlY_#fEoCqIdqZ!Ij-z`8Lx zmM&s)hD{SGkbc!XjN%i#zSuvT5SM|bS0cz}{(CIxgAZ2bv`F{oWhuP{vxl)mDU*yO zuwG-CQiDxYWPAm$4~oTDz@gn2i1M&U5qdf%vp&WgbL`&fbhosp>jd@syp~1fkCv1& zZM?HFFLh6r33gc$PE-8BU{g{VahirI7VKZQeZIlDWlV%=WDiB|#SylNZ}ALjTpWcz zu|=A`&GzNhN&)9v+ZWf(-XZfc&=j6HRsm?g<0MKy!uO?<6DnPf$t!xd%*nWGdK5n*LRt}E-@s9z1N zq*;{?Nup7XkK5w!)Zr{!>CUzvJLbrbKL-EiW-jFQM4ptE*+ zwgk-UpJe}GPu8Qaz@j(!@X)SEF&oH!v(=Pg;NPpL`|YpxOm7BZlK+3-Y>n1HdHM5? zXV%Fa-0{%zr_nW%`x|d@8nF-#FxYi)vm>frfotr@b@+63$Hw?_wWQYeSl1 zceH^DnWv!?r5m9mrPG=ahmu5PM@puY_Pu6PsHkO0dO%>GT`oTcN*F%I9!PC@fdFCN zA*|HJ_0r*DyE7W__A9jO`Arbgrw+^>UkM24p1IV&Rg1A5pi5Fd&w}l(c<%Tz+IlET ztbE2*dM^yGhj~TQPP0!-0;%VYpKub>XM# z*}E)nTHUp+>+Ppz$&$!fD;(w5FTk5$6HYLI4YbyjVApO8(uQEs*-~8A3FXv7L2`6l zT&*7h1EWez$&wV15k%*J%c`61dRqn7w^WA4m<76 zmz*A#yj(|g(iKw6!_V0xRnV&&rQV1o|C;9riDl4lt{U9Q5yoDIJFH&k$j(smp4%Bs z8Tn^;Seaz<8nEyKMoUX!z*yy^ox^^ydmFbdNwY-DSjgq52Ca0litq&gsw<7~j1h1i zeIb_td69#AhB1f9a*df^$k=O218X}v0>lr2i`ac`Z5EVe2miHk);0N3a^h;eH+_&_ zX*+rgoIBhp?v{;2IgfrOgMj2jzF7W)`l$@ziUSy6a}Eh%n-u*A`9DFcF;ZvpK!j4& zAqDHheACqx>M{^iu&iW57hHo&9mq}#G((Lc=C&}u4#exlgU5QR9EO`_I(;>US-Ly%~@$y>S*&-N7NDDRcY3Ck!!F4 zy)fA{?j+k@ea=v$L zQh+U^k(_xj-~UVWgi1)Gc&t@PUpikSK*X{wpVxY}isl2)jUWHjT9n%P@Bn_;3(Co= zH=N>zB5uH>+DwQmIdwC<)*pp&y4G3c=9T30#2VR#)U6-}jT#eEMhG z`aPwu6ry!gB|`M>0w_#=EZ1BndOq=tEQL8ArV7?&BjOpMl_XMt>+K&_?7IqPgT~{Y zoNy)WoHT#EN4gHrotMm6h~D3gdKqR`i0VQO#&JYhiM6H~CK__ZcTP1+wy#yJ^lyO} zhG)iTrlzxdGmi2?T@)fa4NE0Q?j~ME(CG}ORi(mDiVtMZ(!pN1G+q&sxKY7;Z)5PA z>F@tUybGkVIPm>YyLKU}iX~C7b6VDv4TSzURRWE}#c%kz1w|Z?>L%>I7!dvrqd(=} zof|EJGBXqm$A=(Xy@>V@4NqxJ;(0QN-%=6OXr}TD7BlS^bZ--9Iv!%k?n6H)c-@b7 z+`oUe#;`f}Ns?sK+F<RHoOJ{ymPuTZgrjMG&3? z4_mhX*|BXpt?yMHFu)c5!dami!tcjl_jCh1u!W@yUX3a}*;2K&+%O8Oi}*&}rxFsN zzKJ?)rCaiP)BmqA<$tRfZMZnonGLUZoA@rrrdl2k7b1efsTI+Z(yWNqyzPW(s$t=3 z)r{QVU|E{4ke^7^wh8CL(5zJ2in)|RT#sE(u^qoj7hyqyM|SlaMLCf$bAW@=JwR}I zx|029b|hgiIvUHDVbgJy2W`m!X1HW`k-dCZ1YvJNL81@c?z7EyEHd4dA0A`GStS6O z5$k&5xmsaqnXG!Cio(zGWwKW@j%qJ07=uc67DB&m^MP@=_FNljQ)nCu6s9$ufG1$~ zLd22HeR*SYp65xrR57E{K?J-(7#39_dobC@Uqs|AFC)byar%QD15>GGAjSpg#*LqG zO?lTR7bgN|_z4oI)27YdnD73E_}mMMZYa&%rBwTGo&nO3_07n{)5-caFh>DVFu(>p z1p)|iR_It&^&YhM*MGe*(j)=If}nf#z)u@fL&<1l>4cEw*JuK8|_eGS%X7t}m*}6At>Un3f5atU&ysm5cyOtJP{T{tbEKet#kjoO+j^dVP2L7v>|; zo@Qq(GF^^;2=AIDmHVKYcWH8+cQ1kZ_e9wBpk5V(%dm%7jKGnsp^io972>0T5U$h; zFEQ7Vr<~@tzalyK=7`IY0*bhuN50n!jh^c@_S-Ro9obYRr-*8w2zm^5tRMj0fBd%> z8+SAu%--Ws3I?7gz~TbhW^!cRdm}}myn$QD(9*HJg6M0j&oh|E9c+A7+INkZ@AG;*utSaBN1(@P#+dp`#DuZc(tyge4 zweYA-ff>Tu8X#w7PLq`f7oKA;4+uZD!Bztl_ML~y4eM24!1nydEsV_LnCbeKvf2dT zzo-o3ZgE2L)B`hRY?!h$UpBHF>#O5wS7J_e`qAif5em6(hl*Kq4Axiik_}pT$lu3$ zw&@k>p)+WfB{T5@xv5qn!mJ(Aw2I;SnbeLBwxkQCh|UofjItu_@+=MOquIAW-Y`Ee zFwgPkfV0fpNAk&fjB^ayp6j54fRIdra!T*C!&nW01&lJ1X=g`a*AAiVXu4qBfHJWH zvo4E!Oe^-tjmC>WZEN_k9=!`WHPNUzp&MOpU?e6Tr=3cv&{VZMcyxF|Gy?Fd(_)n|BMI@lwnK()BA#u@+ zH$gMcqUGbv$zQ2V4nuPIN@2OtPqIBeiaoYlO9DlUfHT&fD1B>QMy+9}#%Y}G$vl9H|3ht(>()m-V~ zmfTpPG%1zTh^b_;!pQxBtn)iVqilz|xs9BM!+XqsDGZWgnr0UQJ02=7Qy8*Tqxhxl zL`hqScH(i3Obx+d)eowQg6l3z_pSaik1J%6qP-0)XyOn1)k~B>4i|11{~d_N5<{3O}|GC`ZqGTA9gny#6vMq8yKdOkup6;3c4RU8e%$_*O6s zXW`ala0`OZr<<1=WPW6@$GXwZ&JjKke07$v&f3a<`o|n$ z-o^ClENZ`y@5!{TJ6XN-ke)@WlCpt6L;3seK}edPf_@Y6AWEKYQObkpvRB8>(04*`3#bA`YZ0x zbaCF2YV<0{y2|3mVjhW{RIzSay@C=$o?bLPL66?gvk38OT?pwFMedQdCtCxqPVth) zh@wdflre_$s-s9e7@wDCWGa%!-4`{9mdtzLn*QKX9(RQ8MXqnrF2}km&y6?uU;TVv zu2R-)nKWD7x){2Tsmy&e{c$=8sp%*ewkolnB+&uOEA;14+t?1j@>=#Y(u(jy{#+kV z{U%{4JI6g2;;5crp8P^kif`&IB%VV(F4Kl7I(jU$SXo?u)OvZT4IcJcbhXMm&{0uI zv3~*<# zl*Q2EO}U1;Db$*OiMAq*UheI$_QD&?@flER7uHUxF}>C3xE#0UKmQw)K4qAz7ard8 z^;eUu1=Ynoj87KQXj){A6)Igk%cE_%Su=fGef6c=A!sEpNq2A1=weB=4jn>I!tNV}Ev8^hGU{&mTH-%fMbaZlUBzOf(0 z)-=CXp(SRDi6&Oq^hjrypPVRxE&5*{004D1WJ)yO0ex(_u$q_p4*XwBy@HmU0$?f$ zQd|XEU#24G@q4~%5aINT9CXoc(a1`zSl5mf-FfQdLWKuZMyir$T0F(6B-zVh1~n(S zN6JdV@+q}z;dsYEhFKr4M+5Or$zpwLtO)+NW%}OLX#|Q~%#N)GVT=5F?{tTuLXZFY zAMO8n!k*5XN5Z>8v+GDGvti9?v6o*W^*_w9_pu9@M}LOTXY^vW8LXyM)%Fx>nR|_X zluDB$dyX$wND9-uRAHYRw_UV^l!HIP`374PQH>* zj8PnNwIX90PGC~3-f&h2Mxn`2%(8#DRl97%Qo-~WRr|)$5A)oNFEc9BoH*Xas^qbQ zWP}5SSm0-B26Qd<4AphZg-3JSn`;}VpPWBp9CjX{D0=LS`sE#)MjQM1M0-_QF-13+ z+)h^twQfmQ7<7CMSmN9?ktFiC>X2e;cju|#poU~<{+`cR+R;g>8D zq3G#9{$2;B&Dd|0DQscg-R)B+Bv@%_-|QDGSgY+UL$J@KmfA z)ZhjGqu*NAg%%I`vhuVEU~yRTe0p5#;)0>u0wo4JI8RvNuQz`FS1?0fwR(X@lhe{w zXjpiNw5^L^jN90xM69tt;l@@Q)%-1J3aZ=zHr*$tr@Q6y2;{h zEeOYW1x`8j0Da<}I|y0%FV`I_LX!e2g~`XMyFg3w~{j@bzH)?zz-9lu{mF zBxnD!1B8zAg(o4vGj`r$Gc&PCw)Z)(%8-q!6dX)roMT*oIR#h%y#)<-UYfYzHym2Y z8iLpB1*+y%!<-651oK)PaEx27!K$QWT{K_s`=8t0zy9J|Q?_A&jILJ|M;7qtHu%YI z*OFCNl5*7&VXJ}e> z;))ab_g>1)?meswj}9FITl+0*pK)@wPk5z*maI~cE}m4pgZ_iZ?0mvxCeZN|pXfa0J+#kME>o#5&js-Yb zr;|~JYU+I|V4$<@-+dpuwY1R4sc!wbvZ*B5WL}o_eGv(qp1Nnc$0CyIm_Ar!=`R|# z@1rhSDc@G#)Ul8MbZe&eUeCAWjjW_Nqw75WeInxR>08+MoS82w_VpznDw{Rz=a73< z7N%bf%1Zq$zDlnQMR=Yrb|em2&}juM-|w5B-OM!~pdVfvj4^EMD=IB_*;UJ}rNxj= zYs<>?EG~CK8N?X#f+EDGs^y)3!W5`$o^XP1?F-y+lY}gmYeY3-lArdJp z-_*VjYFoc-;iFd#z)ej1J>6PFTt_2>*@9^?WM$jIV=EIU{Co=@2BQdn_jkz35wn5B z#$1J&vP_bMCr8m|GtvSXh7L3lG55HT`|KC4meJ9D z%{J=@o(e`iYRzQ-{>~s?4hEjrF)+0DfooLIX-mzQ+Cy=<7aJ5==Lz2BEIDyhwr_&{{ESq3*<4@Sl2fJ=N8Vg4q|pR}B}XIeGn#M@6;-UO`&BRI*u+F&TMDwuh?}k&D{&NoEu-+QBpZur=!OTHC);9Bt%F_4$s{Q|hJl4=} zwZK5^%m4qGqk9+pO^wm3gYI zAY`Nyv`rV2Olu433Go zAtJ`{uI1p6p-py%c&R)n=vdh6o41hre#T0~t=%W@jHI7!@!vlS{c6pRx)5UZ-n90- zIFU}vqOkl?EY_|JT#XU;W7C60>6IY_8Y5>7MK~y9dq<#A+UD&o>xquRiNTzC1vDh~ zIr;ID?r+eIW{FhCF_0Yp>M`_>-{blpry~-pm?DBW5|-VVw=ou(Fcta2?9a^9)VWIW zR|OrF-_Kh)<9vSB3n?+7RbrZcrAarwk1f7l9iMT&d0B1d^#kncg|R%ZAz|C z?K@&5Aa1+VH!>2EIGLfY-s(JqzxlGe5Cj%mD$<>7iYhmFHRJyyW&a(MG*q z2DK-S1CpWBUQGq9b57a2G9F;JLSeSlUp}^Y^1@0BXDz9(eqWy@YkYy`70y>mX>W1r z(uuj+_eGc3Qjerw)v2866b5%#BzWcbyW|hMxDr|)UXdWYUJ18gwtzgC4M+L&wV6X)a(kkgL$(F;|6A?;eTIuNe-uOw#D(^a zj^a-*=B|S*L5z&^*ZnW6bn>~!N-ZDMFFop+PP%{v@QHq^+k9!Cpvt1B{IuZ52X1LH zbAz*fos^z@0=1G+H{1~}6lqMz!7~HZG=+#;xJQc=j_ZdG?^pDr|-xN?6L!TEjmWXbG#WtP3Qe+uBNBpo(&~ zzM5L3z60ni^=o^1KUcvSjfdCn$S(&W8%k3Zt+jjjv_Qr0o;5lOKq`zEYV1!*_b*I3 z9VdXa??UxlW-T6Nx~zDPeNx(JG4-8#NWn|l_eN$fI@h?CtQj?3{UVGT#^*coGpva< z`AHIe&GXggX&x<)ygP6FYUJLNg=m&|*hR2n41uJykKL>MgT?~X!8mm&@`uCNP#&*m zP~AqeWzmdC_dzW5j?^+;l>E8V9l1TyJw9kVsCm0jqtbOMa0{$3)0{(gd4Q9*oqi=q zJOOuaY<;Z)6>k^c2nuK$bSFbb3-!_MI>X&qSG^3CWi$#TCL`2GKrE?Qu5&Q6%T4*| zEq8F2NTtho_ui4vq2Hn7Z?BYGikm$56vAIWrSn$daUL+Oy2&)a!7lnx#mT`e1!cv^ zRrbg%#l{NSna00>*@-pI2^dQ{+y1o!X>Vaju7s_2V{!+Ej1XZnF@~ zFSvMp@tR_E3NLvRdA`8v7OE~KhK5 zi(SFFwT5`tjS@ zr(1I;j=1iFo(E&nV#$OXmiUkJ{%5 z{qbLu=tJW>1gp1gQT$A&ZJom5@apbXL7y80Q!g^}d&SN|Mcn_xTOeyAkA-BQHl|eqC&|4;x%$#llMd_OTz&y&o0T z#c1<06bw(&WheC=s-WU^z&XWF>W!e}T7Bvag9E)Aj@XkcSig4Ge;@^?+;41}5~4m( zgaT=}RwHZuhP9Zn^YmfABf@6kjzhgTCq8fKiM^Prn31!0_zhU_2T4j&c(hQ@c0C^h zaY$}(H;DQO{VSPd->BEB&?1CukrO<|HszHSni^aS9{c4~zi4R+jIjF_Z z*52EeDuWSU!q~*8YNj}P>?$k=#LB`F>|so{l&U?w31DYwGkzr@`@m4%LSz(; z+&Nvlyca_=&UVep-B5$P2A(9Lnn&Dqe@Ae|jT|%WkRnr~#taW}*#6@!08scYHB5sM zLvw4nDQ{~dYO<$8)h2w?KASzQQWzZ!?;EAd`rrl(eTJDMcA}=PLQ*wRwG9`bVVhLi zUIb^b8>_v;cJ?)jL}sUGRoqFA&MD-we1iYSSzkk6(da4<11XY95c}x>0_OBaSiB-I z*{s<=%c;z|mr2iUhuM`Tbi=;iq`t2?X*mH6-!LIams-qD))-*NEf(Ua-q?cPEGy~1 z+}!Y=CaAHIEV%_Ycwfr**$o}1UJ|*>Q#{a!GcAY6d$hy%eG?vCm*w<^-RKOCu_;t% zBe$!#KChr)Q@Uv+a*XOXy5_?wfuU(%tn7N;>h5rMz5au}r z17$nGzt_Y6T_kq`zsAom zYU5{*Xf@}SA2jq@aDeo z*XiZrJk|oN-+p|%(HAZ{BDX{8eh-uR61g)(b&A8w%n)V%5YLT48Q=TOd9)nG?8S-k zbwkaXw_%Jj(Et;&tN5Npl@rnN_7-un!W-4Cg} zU$KQ>wrArWFfwLXtOhqMk=7t5ld1w7*z88B~42BIn}7 zJb&0KQ4f^)28P`lW&8C(fg0W=GW05VK2R<-B%j_;U^W>dEZ8Fg{>4QWsh4UalQ*Sd z$IT;?O7{K^pUvraU7_~^@meJQ@-bY^E$eLp)5X9o)Y{mo zF=|)blx@An9|wF3%eBjW8iThrUYm|}&n?#-W0tBw@S&JY&e%`~dt z&)VKg&i>ZefLwu9I!|>c%Dtzb6nA|^45=8pzo4czyt>5$9JT>%ftLay<>X{g2gi8# z#H8f1qy$T0A69lwOc7u0s84H(aRY22heGRhvJ#l;xua{tj|K*?#&35?Kc>rFK_M{` z^W*UPPrln9w>vZ^q$k;zzH){|~+Jzpi4`dEiJ2 zg&^X_l~Lr5Xhg(TCuex_9&2(wyN7G_+0}>cJR~GHjZF(Z!r`^tJAd}m9f3s0IDAcv z!fGqK$2srZshq3#sq5S=x&6Ol?~z-nVn&mOf9}6B^QW@6QHm7nQ7MfOQ?1>PG6Gvw zp|s|G^qvc~Q6Gn&Zq@{6Ye*54I2R2`6mC&QZvX{`YS=r@C|ik*oK!a2z*tykX#myP z{ z9W81;ge>pr0%M)lW0E6WZ`{hF+`tayTZcl2wVr$b{P`MpN;Zha-%E5=3VpsFT5Ems~g>_ob87PS}(&#Oz{JDRi6ll118d;(jn8$i5Br3 zF6|s`)ZCR0RrK8D6J$M}3YdQZw2s^mHug$E1M<)Jo|&`KeXh-47HSVz2fACD}ivpHtnEVQV9tGq9Tc}N77WNa; zw{X2{2;yH4o+hhD3^8m_=iMCPkOHIY0huFC9t4cu0pwc_CiZ|v9mR_hYaX;wHo=4a zf*)!I3>}%pRYXq*!%?(&KdB}3MaDTLH_7Kjz6H(8U01|$cYMeXzU1SzrV&r=ibGWV!WKwa%=B z7n!pD4Vb3?=c3`L%ui^TJm}6AZs?13w) zjVwRST{zbbAHZ^e<-lzb^Jb3t|5n_eARYm-l@j+N<+5=u4fp^{>TCkzN2usPx1Qro zKeMkX`Wn4COcRP#IN06&M@9U5km%96xgL|_Er0ytyL5nWS+!7PBd=NY7fF0BtFA9X zufX=v1akL4PBg@a1yKpcS|!u>4|H$li*+3s4l^F5SW^(TQz$g%`fbJC7pPb)+J8$9 zR@mr2{{Ccg2&^ahJ)Yd^rg5^psopjGsqlWq{f`NRd%dgdX7%wv^-@f+p=+jQD|&g* zQiB1`t@{bkg5`qlp7>S$B32LV7;OaEl=bLTG)2X}o#$9O8;r`zHz~HTc(It4a3wL1 z$KEEUx+uq;M^$xrYKHk)x8J7bMeh{od0LLxr0`(HO?FFdoyidGDA`Dbf?Znk%Q67? zHB5e0((2SWDZTNTm_9B1%4h`%X>ngG@`C^G=KM{;ej+XLXe}zddPXpeN<%* zf94ksHD|^=>SH=0oh*3uxH^a6p-m+N_5O+_Hk<}sbkE4*$$fYe2N#PxO0iNHI+X&g z&RL(7--lt@je6YNWE*;FW$9fA;H_r2ZcngkIhKDLNgaCN+_==J zTJNiDf@@jAO_`1#q%i}tWJ)RIsc%Tj=aV`d(m6U}I=ZD4c%U|vMyhoN3u{3JU`RSD zFI)^;v%%5L!|BGTx!^-?UNyEoCi{w#JKdczH{*Hd^;8F+^&M_E0KRuSifu2pJiYhh ze3wDx_gJ}ekVC~Yutv?=@FL-uPjh^I$n_SE{??&~Q+#|7F7z>djoZQY7#;qPKgBhJ zBge-}QoulW1XZ!WQTrZ8D|c=W_+fu;$=Qk9qG?0kbn?8}X+1!=FEg!RJpWIW-5W_i zHaq;n*=KVN>LBF70;`SJJEp5sR^ViPUr%_OG>?KvBC|A2BF(jgjpRUUPQjp8J-$`I z(a2Bt;mHk;+dW_a(4s=K!+Uq6_DEU$_pWYUHt~xY31d9F({L~WXDibkK2b(Pn^t}v zB{a_3lr5JdSK;^A54ID6z)|uV!{IG7;cZi^-~ut@m}D}vorhlGS7ZC2+ZSrZ_YgDm z#p9rK>_6ZO(?+~Lb zEiJ0l_je41vEw=8;bDVAetu}DkmA$H!#%StXKQ^@$Zf>HFbZ)Ube&4BB!Kpg{3jTX zMa{I;MqauKPtu?GI?=0uKw>P-MD&5UrJ{BGXnk!I7P>>44b0@t^?U$o(gP~z{r>aOhn*H-9CPB^~eKVaXCN1L%Aa{pf8a+ zPpJDPrTM!nPF^N3b4u!6;WulCxJ7^(74uJfCQwR-5_|qCZUMqf@W7==c5J^>MpiN!6vMQE232D(IDT4l+v^mhv8|(|m48$@A zdH1XN?2kQY+Big49S+t`dKoUt) zxHFCf*Oqj}lJfKN?PA0!>3jKI%22FHwglq9Cli<`P2aPtgQL3mM zFmsgV@VK1Q=*jC_{C|;eaHi?}<&Rs;=yCWLzeLN-{?IEB9sbzV_O$3kel6koTVmBz zI((}Br>8W+IaT6K4?!-xh{}Bh*p0FmZ%6;WpITg4xJLwT`7)iyiV{uj1)IBm!}2j$ z>6+O4;gt>%F6#iz3@;K#Ri*Bb$Raz;T zi&25JRBUe9)jzJC1woB@l8i0L59?wF2rS2*(!vb9ZHY^Y_EJ*&CfqmjFYIKDc!nsrahrhbN z*ZN~Tichs;_g#Cp0Z&C4bGrH(srPM5^X!UJ`udWo5DmB)>M=YWwG`%_zGuLuBj*>1 zO{H`-XpVOI2;d{Hb0Ec|Yofi*Gw&O~q%gtXVOA16(d-mIvP#DIw7cpqD&cMMjXsc9w?Fk9w?4mnRDi z^PN-|6u^?CNR5dKl&UYh*XiSLhG@Y9jURtuhyV%pVLs5Ssb#i{)4W;$zqXi5le>A^ zxff5Nh*Re$#-~7Ur7C@4oPa8nCA`E)j7v#39mJANzv);#n%0EBB*BZ4;8|{2+D3P* z`O73ULQ`UMfQ7wq$4W-V)Vv9CCik`*Ox}BBr`EkzhHX)p)Z>#x`QXv}*5fEd_bRww zo3B`QJ4uCx3l-GC!KOw-J}{Cf?vBu1YVV>If7Wy522TO#IjG%4#+9u(l!ZK$sdtf# zyF{)>B}!`KCh7hju!g6UMqh&2wf&A6@n|6}!8%@`Hi9^F>Gz{%5AI!V^Oag{+KYXG zND#d&?ear^eZK>V29!soK7i-T^jX>XN?!6Es*PEBxoyqr#k?`;@^pTg7mO?X{WF%X zfEtB|{L`;YWA_IqEYC8@AgnW^B+?8^(g~HvPqNv+dfMt<{L~J1X%)8ltM?UL0()(} z-5}~Xw_}yqmdn$Z?ocIK~ex?tP$qCVunO4_XJoDUB-3(nQZh$qWjc06f!Sy^wVjr9^A|oW?ujhB zfsu2q5dcQ_Z)g60)PWs$_MoT0uP*lz&Qt~RncGd?@7s=*Thcu@JC_1CsgRG;e-5I~ zd}0*tGQ8^Y>qhXVrKK_g7)r8aqX&Dd>EubN_WJy-?<({Gv0q!4C54t%@qpi zY1@TYuYo~iPrD#Dctvxv*j)^o1_n_$Sc$gWS=Mt{M}Ip@d&cGdWxG6Xs~%EjAByn` zjv6jIm1~*-O9^bt_R8%5LBP!OKSDElth4*{-i65Fw!Z3`1&pf?r;fJ+A#aV@NhEs- z6nuXvj)3ij4QK6yhTepX3!1|zk6Y&F>n|AZr8Gz_RN^JDZ9>>)%RY7VQ-A+RE!w z&x6t3-&7406>ML+w`_~CYW|vG3ZOoDY(@@KX?6cYop8Fxyh=8dP;?9d;5xn?yj_b$ zeS7(|J2jM%DX0F`)!GzwgSxT2d8NBY7v0KFQh^0+e>~PC-I{L>WkAJhkHPl)`}sFi(6L)B^?doM4d7wdz7<$XCa%C4sqR41NHP^M=%0vZl$N3Z&*qveQ=8XZPgj{R(>r` zec*wAkA1<@vr4Ex8_m16^|bFUfBAvr-;}byNa*d-Amvdmmq$c>C*J z{p%&B8SZTeB=^uryA6aA%cbWA2&6oR+m+D~W$vRKSjeFwZ*Gj9Ol6pFX_={Ln3udp z%o@zAjjPX^i(Oq^A{`9HAQL&r{*ha?14BQcvj9ln`f&gd?^mI}#c#MD*yZ&v5v@4x ztXgw-{ki<&&*m>>z@+ri*ZL-}b!Tgg(4Hi*$nsOpVlUP=BmaSi@+5yaj6L8fj2w2C zN9i%ApC2*kDPec)9i0}KPADBV@$dt@gKMExSVbx>YSg89h|atHj)vbnS?{09$cN#e z<3(=!d>+=bPW_`ltY@w)lgE6a%xN^XqwE<^C|UMyo_)I{Oux|k(ye05Un#po;^vh! z&9_kCfBAm-yjh+)&D%jP=tEV*+Izc-6y(bFOO-!PeGWrj^ZlV?)sEpX;a8beYUa5r zxga>NVh|$Tc?jCGHZ2`EQ3M;`JV}EVbnRM6$RxUb?HvBNU92*LYGD^XVtF zkE%)Xa}-r%xD(>1yj==NZaz=r0BAE5M+uo*dQjb&yZQ+94*e(ZuIVm~;9B|{mbrbr z&$wwY+7M3R$JBa1b$K;gx?f0^zP>%lz}(WAt)W!+VH9HAz`XsXYEo>-)$~%ga-E42 zDmu?mHtoCaqSa1XO!f!Vk6hqcf+mouAu*Vfff)fSmab{hgzFN!vQ_;IOkH=F6F~gr|ti7 z;dH)8J-?U=r>ONUbk2$*+%VwT`l)TMQ1ZtoGxQX!NvBkIxpk2&QFpffBZ;0{ynrui zqdvp>F*|X=-ddc8q zNh(`s*!E2?oI+FnrsZtvjDHLuE^SqKD!fN_-MFcsTmd>vuWiGg+juCOC6sGIYFJX7 zv1Q^;ugUWEK9&5@m9-4-AhE77DG^-g(8REzZItd6g?0X=t6oO0rJ;!Wkmve*i?O!i zB`#gm?k7%e<7U^??$q)Mv7-I46Xxd-a4eQa3Nji%p44T!W8e{voE7Tn_TnD zrxkHVBkE16x9!nP_Xr;47|E~0QT7!wt4O_Hg%ZX(j_M9Q;=yn#?hJPx?hM}!3TeRz z;q@_GIzY#07y0kGXh=J7Qrz@mTn7*8^Ym+nlU|?UQsnJOCNQ}=8cS?0#>%iZJ642I z2SJrviQnwhp}+yX3x#IV1yDc67>Y{%j)Hf1X7fH_pGB}(G1@tAUH$6;Vz%Bnk_`RQ z^~W5mtrPxi#*QtmXyzBs@!{q&0lr3?HBnU z@O;NaIJ494eR*`#8>R!h3$$TC>$_Nh0EiwEmVm_k<)z(9>RMY@PX`B?U4svwLf1t;!1;u_mF z*blmpmMeQsubR>m-V42Cx-2znx zYp9?Yk2#=D3ExmOoJs;E<3O;yoNvN>!1P%LIp&FNhCk1>rk+dpC&r$ee@8@nNf9ID zPuRSS2=*T0xBu2@N6+_$qAi@V0EYma@_Lp~F&v%0v-@|VamF;SWImjO95Vknvr5Nm z^;PTx>@icau!+}+u$tQFQ9te4xSWX1Xk;e%r^nV+lAvpl3PB#tML0TCI7I3^q?yX7 zrCHN?9@jnsjLNfS@W`eZj>@dEaVJq-*J5X{G>#t0#&{fKz(T>Aa_F&H8)&P&Gg z4J>81cNF)9m6D1$6sPG{moMqmXnS^neJQ=8Tl8~Q_s>~HEl;mw*(;aEUgpt37ZVK~ zvxB zZd$$FDpngDubV4hi#yK*=X*#n)? zoq-62>cA24alvrp{ow+}yRL%5n%x}B&@eS(g+;T47JS}57)viRD%;kg^HJ3NLYcgE zmqKpFSALdx>w+1HC;0z376F=;+9&;@3g~g!yM0zxZQR?k5KPSJx8e#o3#rx$kP|!M zFzsO+0*I5Uk>5HdJX}sD2wFxZ^Rvwc-hB>Hl5>=>1T)_HbHSseLxz7?&i`<2+Wne= zF3o@A!Oq7ISl?q&r)jD1;c`z~Pi72tCSY^FmM*wyEB|`Aa8w4=Xdp7)GdIo9HHN_;dMG}tP1lw)#w~d zY77qnei){o3prT7msfZ@>($|2dDQPAX!`@kbc?k<5S)Ah`fKE?Fa)zxzD}-g_YXuN>272F?Qgo@a*OCX z_i4a2rl>^B0Cab{Jb-n|158MJC+U95TWMC2ucBE1)XE)XBwa1*3(Hzq^=x2Va?z8q z8efKuK+Uodi*xN%vdH#2h1lDZRfB5?z+F3nW^q|vvvjcdHPRpQwH`4Yk(U2N?0yW# z?|!YQXv=B$z5XJ}b)mhjvpbr8C%ocL#?AA?WW%vokrTzpZ}09A^-O-18N1{fs2E6c zTfI9cfDDcWvIaEGKDUAXE-YA8-1kEj?}N?1V#hg-=BOCAAv#~5@~bBcBr@(o^v>H{ zU-HrU&7Z<}q~^a_N&+txR8Vf0zKF1J8^eziNsom=CdXnAyZ8%O7!Lgi&|M~21XwK6 z2J5-#!Y9Pq3_CuT5o)L(VWAlXN>Op~8_f%p(HbKD8s_?_iViOX99@}}p?*}p6-OQb z2QW2Y3^a13$>(WHa>2NzSp{hYAkMFw?C$CpI~_kG%^d&cwoi~#a(1xD>ox4R zO{c)52SH=;g&Ht)#_0YXS7h4G+=gNo6{2Y^xe11F^*fd6N4G!G_eV3=a;XeNaCF!N z)$y^b+U72KxCA8ZO4C=CtyNdRg92owOXEOEtj)kp`ZjVOWJ!H3wVce!?2ry{l{NP| zr;?Ie_cpBG-oqy!21XAe;hS`pQ9f>D z&_P0~8w55}#4Y~CBO~OGV2$Gc_;Gj zF$?hdm1#)EH(iKi;5I#h78fw=3(Kt8YZk><`B>0{keY<{-^E_jSCWPQG}!RxGx?H! z^c7t-PA-`@DYPEk0jvmfKzTVDPkpCH4@|X`j9Z`+^*=t!WX{)X z{Oru^3?SUyYj*kHZ-3wC0!%jcd2&Fe=<4d)g1YO4IY1q`69ld1ekq-99N8MSP1t74 zm9d^ubF)^UfC{v_#ouo%@UlZmb!HHeGP@~ahRXfNt)QF=n4ajG=Mz2y&z1PcroF+5 zbs?M-3_AsY&PgN}^!X9an773F-H=8Rn&ojqra{o-(yE8W7U-?#+0R~kB~bxMWBJ`> zZUY1CQ4hWFwbctmf2F#2+(g0+u@^2m!nr?>=(px@GGfM|uAJnSdo9jI{y%%On*9@} zFE~$`8iYeU3)}Wq?uq*ydbXTLmq18YegE=2dbsDy6&F7J>dlEf$~0@*ij`Oo7bbo}nLbYTlD^XdEEUKOwJr+!A`?gsg8wQ-PSm9VC0`PA#3*H-<_sQ9IH-d%C*g9 zYCR`FA~VfinHa5x#Q0Fx58rB8rStRhC7kj{?3Tg;z8e!i3m5tC-lYumuIL0-^4z)U z&)Bkgz5eQdXyuycj)vP0ulH8ZT0{t&#Hk_{&3}H@@UcZJD+(}NC3RL3dZp*PF+I@V zck;sPWh0rOFJo)CYUd=YV(>Npo#}=p`HQ*w7AQ=0X(O(Gp=mld(a1q z72;8dE!7@1ngQmhA-%yD6mxcHd+`}SGHdrM3|$sIjGe9vChn31V2|Uf8q)l$|K9Xe zS2Jc4)a;lO{f-Sq1@VRQablKk zHBG;*(!aT~DUele-p@A7;M#^D&1p~2^&T`=iHjw@NxqnVv;ye0_V$D@MlTi6$R1hI z=U7~1S?lEASO}X%eKzab{irwK&}uhhyE;HHuQ)-Lh)fTjjo!LUCLiQ8E_s-^6Rs0p znKyDcFyg04QUTakIGs<-)(Gu zAih0zTS92euGnwGs4bxsZe~6sw*+}2+!XfqPr}ZXp!hwk1x7B{8cNFz6q$U*f+gy%UgpQ_Hijd( z(MaAl&>cfxNn6|=WI${gY<@)fd{Vs3X2Xa#_Y>e*1C%(FkgP`T?oqQBCquAD32C}y z;97eW0IHbM>b{d>@Ws@kzSSpsGUI;~^{lz(Qd=c|9S#qRix(@)a>yQ6zI8Rx>;N`R zoNT~1vMk*G7?T|(i-yfSjLWXwJ-oqo1Flk@PrPqNrO7=-*YQp--0X!75wI_U^V;7F z)wqj(q&UEPQv=%WgzB^K(YKxUw%hev$j_+_2-(#4QAT%NJ*Ca$wzMs4hU?p`K=?JT ziw&M7Myl{&>Yzqap=48e&7vt-89iZ`AgYid>xb&W%XLcpxS&g{-%0NVqMt9*u9!Vc ziy{0Ei2C1{o2c_B>OdjhH`A?x?CRP-0G%}eRgXFyMosO1Nw#`~Q9>&wjCwn)Ag5$& zOI+K_sCHs>m@WqrwI1u<*^BXCdI>A>>Y$l#8M#-vs{{GibOlgJ<}eyrPc0Vr?(9I+ z7r`SK-;jjD1M||s3lI^I-9&YW{J7ZjFF_FOBzU~w>Md`vk>K)qg5(k`exEh5uo#q~mE2DaB=f0eMwxuZ z+%AqJ%zAIhxj&cS!Q;Ga)RPQ{Ys9sjw(diDI>6SPxG#!0d{k^${lUkkkg8Uw0>07Y zVqNnx3h+*EPFyZWO}elR-iJ`pdzHr}>cDQ0 zYkk=AL8Pw~oyXw=^kly3xeDuIM1^%N-<5XeZDbeCNcE@+)(3tzzknfU^sWiYFH%Pc z^FdY~_DXMvp{HvSa{!oUCAv<8l9wA5>bJ^c8Vwj5~k}bCyCdm&!QUU zDKgR)3p}XacF)nD?Lj>uzVz3@ejh^&JJ>blVdk3MuNtiE?YVna)q|F-0bf+xz9xM8 z0f}GgX#+8l&v3TP%`i1y2H(Byg zH~3niG5=x<3GIe>N9+p`uY+;C<0S>#V}0IuFnxsZS^wqn1BVJ;e*!J|s@Q-)qH80NU=?-*9!6cz9o+J&2FZ_E$FZNlJQ$Woi zaF0WQTS?zq-ofe=e3ygQ^-3aa77^ZeXxGY9WqSHHs&)laB)wRCUV29wKHd3IU(~fp z!KjBzV&+I5C}3TB>iPCnmEt|x#L{=37);ZlEJR5kau0zmhST_0mfAe*T619a@digK zKj7ieGFzK6bPUKJEA_lxg(Tje-tLtj6I}57`j5Tv->%yKC~AIeq->Dfa_U-L!6 zBXvkD&8CGk3V=hnx6s2X?TKzH`qqAV2)n{4U(A_s?C9oJwr;xh7bc~R-9*Fh# z)a)EIqCF1rj2G(DUY@n40POP{9Gv97In+$mZe&}Csbl1Pit(5V+G75yVrfcZS1INix>HSQEB5dDfuAfYklJ5 zr0ZP$${O|ryi<58Z3(=y3h%fAhxC#H-de8jPJhIIX&Wm`5d-yiPbBJ{Gl;5SB{s_A ziH#~^vn@KH+8qs6lnz@7O}R zq$KY_AuA)2Tl}_eO;>C$HfBosD5Y#2!b@(kTCE&R+E2St5bk~6L$KJ_sxyz>ZMS;C z)N~iG-8MOzL>~MoSRpnVV3z>W*D_kJoABc#3G=jfaEs-nzy2}c6I!b5I}Afk(eESi zd4%BdHO6F4YB*rm z3)@Zvv%d}bu}2HwcBX>hSlFJyNUyU_nYssBtPG~HSbDYVEejab&9t2p=l{zrb*2E! zZ%bHTc4*3W&)N^0!GpWh;sF$*+LhI|=Qc0sQuvpam@8jqrRr5)%*hKlf6ZkdzJrU7@@|ANVll&&bRtQ;OqIjlQCPWvxCK@8iQnLaoQ!eIbWp0)$# z;6x3tt@u?_M#DfTKk-(Efo4VjV%A`ErM)TF!Y5tTpYy-8k4`XD#j=UJMKV=Bxh}Rn zcDbH$9qaNUh4-`<3S@O@Qc04QDk|(#yxb zasKC!dPKya;LnJv%aPg)qWc2JT))Sfm(!_dYM}mO14cp0xs_~8LOjPy>|mnx+3ABB zm2JzB*ewRHePg-C7Z-C*;Wv5$t8Y9Su|Tm+pQZZuRAC1p)tkz9jCC_jePY^KtK%9I zO^^;MfgWKySFU`x0#$sbQ!w^C<^FyC3}$xWVK27VGk5tUiPlVIM?#8e#l(;YFJ<0~ z>@5kF6}`+H8+`6WNeeF(?fRDHerNK*?Zs!e-nLL60sS|V`})q=slQ*=X_a1KhrjQN zIdmSBO9yXUj$9in_j5Me`3nHsT#@z_wDB}{7`Nl0AAqCwyAdV_W0>wS4J!kbFmRGp^|u-%)Z`0nbi;{a4@C$kt7CWkCXrElvzO zoeM6t&m~2w7l2Bod5J@oRBlJY+_**`Z`Z(wi_sTnSfS*($(bXgs_)_*Yd(YB7t{2_ zUE>sME8L4p*1H_T752nMf;QTfi#>;)JqSGL!N)U@>!7D~!j_OxA(iO1> zgAvR|39mNm5Ov3xhK?7&)-?+eOKp@$9ILQTTB#U& zg1A;^CkG8rCiMv^{t_W~@c|IB)qOTo{*w1+Zyzf(td=wlQT%6{3NNrzC!YLnuEJ9` z(oYIhSBuO_J^`YQe~}DMkMzt44sqFZ@QHIV;{zH6YA=>xp-ec;pxR3Az1$vMK2vo# z4i+n^0UeCUrZVdsQ%soL^htAWwmf(Y@=?o)uUr<{uYrd64BX|;rS>v#;K%@_orq(LF>$XMPMgIHHaqoDmuR= zEV|4bu*UBze=czN2vAhdvuOcF;TGN{W3lM7S%>Szh>zd8Eq10R;n3WJUIJ@M;l6Be z7f*Z&aK6@zEy6(mvs9=*XwG-hvh$c(=;t0BJ?(W%YwXdJs(vR5??hbkAl~;D>v3qI zeLIgYeKaS9!U=DRWUzy%#b}UK2V3GovbZ}1SaNqI&Y*TV)CsxBwyZ(+-TaJ(82I6N zmvxF^+b1|B6na@rpkesThakup?ovQJpHc6&`|pfS%?yey#fGxXe!aEX1^&uukJ{dN z@Pj>!HsUHL30e=KfUf6pUdv91KS<+LLi^dZLM)$>b|eeR9wNHDm;u}=d=z(;5_uBG zYK`=cP+-e^c?g6ky3YDkDoDhBgIMcO_)L{~U;)QH2~N`knG(8rb_cA_`ixrn)Ysex zjZdAqFg7_~5;TBHh;jffOD%2D!cuW|by0YnN8Ij!Z14Lil3!<_VB8DMf=1Nwc^YyL z#^QyPrPcNbvJ3d2a^%%HV(Npouc@lFj(Pxq&$NJB#=@*@_2?L|S$d)t zqn#t|UmVbUa&bfbj*F2lO@@cNy}eXrKc&SyVK6x%4;13~{J_L#pHPq=2uL&czL4v5 z-so)o1h-nMvsiSWTYW*SuVuBgatepDWlGl8h%@NKqbmK}M{GU*sx>!eQ{U=d#lBhm z&UrTbHNSc>!qN^9j*m^>0W@PkwJ4f|w2aKX1rv{101%W*6jT;{f6_36T}eQb7g{#F z{38@S2MF>1dXC&LzGk!ghYVr(MOXw9v~{|-PsOzId|%r#f-PzivfsiU;cDF8@d9J< zzsPSotxwmGnp@g!s)G^AWvzfg4Oklj7#=(|#KuHM<^%QX&=R;M3E)6iEhN>l`lmer zLM#C(@TwP1o_*nJ4o~@H_mhwr$qlh(9lu=!A1OuMfx3TZ`V6?#d6b`NvAw0%<@MkQ z8G6d;+X&5wt4p7DRI&s}$aFYDgDgsV-}?v*}T$bMrxXvR(6ZG!{? zx3UL`q;oh)gzUh>R)T0r^|3Y=HyDcROyv4PX>;k?GrY)wS7*1MOV!FMt5tK2?eW1V zwn#Iq|{XexGRcLW7alaF#RR~Q15;~|>b0wH4dyXz^pq;^|G4^DBB|Lpteh<koc ze(`ZVmL`~7=-nhV9DR38|1VSY^$-H0Za#c;;aJYR_C&Ngp4-Nx&hTA1uh6Bt3;Tl2}Hn(&nBI1$YOwHKQJS?+$v7diSY^^&(GZCVavjNGZ<65msW7>*9{~gWUW6Izqn18^41%y1e{qnHV$%MULXL6YQQk;K-NKCk8p#6cQadwwD!J-d;J_g9*~3uiJXrXjV_opCfS^Ww$v(QS#R|M;zdWjlw@ z3VPd~p@j4u{fI-_QcnF@84hX+q@4*@dnFIkA=~Ho9#l=WJjJ#%%OBm$UJ!P_h2-T_ zr-R+c#M^+a>;4McuHJYYD=f83ikCZ6Qg{+*=k)6MQKbG$wIAxS7fAGvQAX49PqYFJ zX=vR-kipqJZI;c#>D5H@9d8!otl8$p1ty1!Q`8WLwOMXh|C3XXSG#cS9+JDPQ(zfe zn+BVo8wEa`&6qw+tlX5|1{mEb?cI4ui6HI6V8w?uyGFA3I(VXKgdz;_L=Xp;D+39&DFn2#pxUg1Ea_amYxx#+z|CD&N%DR?;AGd$RW zQL3G%2%(!IaZ7HAY(1>0Kk6RY_}vOBfAqPx@SeXea9tDA+~tN>?eECWgW~D_L4(I} z_RIzP%N_q0UvC)}b^o<{D}sc20Rqw`Ie;_>IDnGQNDeT_&@F->-5^SL3=Knrw6t`C zltUxk4Beg2&wKBEJp0~z|F2gb_)6i+nzhb#o}YC>4YS>Uo_W zaHWi(h2|UcI2D|R4?M@TwesSGy(7RNE{Ix}^Ap?dI}fwcv$w;(<0Vh5 z=;nJJnY4lTUKt%4!tMS9m@T{R_5FizOedVS21F2PARVirdHaeJBg3U55)Y_?;;UFW z?9T~2kuZ12d#$)3Yqn7_jVd*bzblQS5;1dH2MRWn-IVh6HnU>wU4GtA=ViHsmxP(W z0Iyz^wiqhhm|OH%#p^CJB;iagdwGCH?M*&^{ExHuyWW5n@-Zt^ndR}RyLvC3D)Rw2 z89Uz8UyA*MqIlnBcTf)t9uVqpS(jsy+^tP}dfW4lpX{EA9($aR)eiqhx5jdO9B-(|+1GciEt<{e zAmKfVjoha@V|uR&yT(VvN{K7?vZ}DNir*W)Hd@7DVS9hKPN<5oouMQr+U;h}&^JvA zdk9brWI>a$TD*}-N?6mOGeX+dsxV;iHQGygAnr>}nk)lf{FN2aNzwjQ_MJry0HaOz zcA0m#fTVR#*yJ|DjOGjosjHs|h>0qe5v}CEZz59w`{j|sKtM@My&&RDlk<_UC*u91 zZ3J`(+Iza~8{M>RKv==8qLcHtXcQnz^!okK7MQ*{ST@2+?NW|W}7%3Zu9Zvd`9pYSYium`xYCe%C>7)=4zl3JA*K>qZXW1AEnUkH7~g9*%v zxXG8OAOEm_1soDp=MdO%L78uT^!u^lV%wiilv4hA@hJMBEjey!3&~-j= z8}$1$p@ z-=5V2-r&r^Jfh1{;Jo$Ofg|^7&tsNPPh9d!bn$)iJ~@7RWz8p49&6Tk`Bi`VZ=AR5 z#AD^#U0W96ocy{wwh!wuxU%}tnvo!(1Oejt>l&`u0`D-d4HQ%;3JkXdyP@*THZ2GG zt1_8Z$+98=p*RZm!(tk5YJ^mZp2gJbqrfPu+@C5>rqwww-^k|kpc9(E6qNrYljG9- zg`C(f=9Dr(j7lzsHLPZ=bHKIkGIK@b7x!FHyTR^HgT@V1i2hXa#c0k#M0-XEXTD;t zXgoJv&s#%kOftBbYI7jSQ*zQzBR=a`ITQ8Y6X)raeC1irxf#V?)X{3X6|cL&!E z?+RdlHF|n}A#;~FE<=|Y-iS%;N9?g}@0q%J_&b`!1hrojPsKu9kb{0$^0?I-Jp>$K$_f4qf9H{)3vcZe8;`; zGY0*9;BnzU;!kfLm82+)AoIq-z2%~^@E6JG*UCY+&?smR9l5^cDR_edpoJjifcR-~ zYllNv)PY5Hn6Sug(Yv45LN@(dpS;1g(Vx592`dC3>CN7(w8~qF4h_t2gp(UgR-tpi zm0PsCM;C>h94nx}H4p66*yJ^1*rgP8fSuVYi}FLU1J>qXX$KM3O!a4bmNz;mtGO4$)3o~7Eoo_daL;_truGf^}|({5=4 zeV4Eu6dBF(F23x;Bmt|u6D(AUAWRG7iWn%Utk$TLn!GgO<76q_=`3S~aAX zH{XrnVuA_`D=e=LXKd>z{17^ZLBPfAG7^9-gq@KxxnR+9Ogx^Fq3`ML^?3aI>Prfw z)4zzwH1&VY)Sldp*Fu$u7uM%f@qd0AWBK zaf~Tm<2wGl&c~Kf<(wXH`_3;KjvVamHHP8)lIq$jtYMkNX;JeC%g=(E~Ahb z`{zMMd4Q*9-To*H*tpjZG&;}sjHR7BhfA7JK4>(({4f6_u;<$s=ad`}d&nAJL$#Bz z;T8i#b%y{&fW$FezK`wGS$R=|1^Ht(>b0g=n zqCzKL{$vBmvr>^5C&MoSJlASUQ#|quEk^0dqj5X%4J$L2l|)KWuDeNMxc>KE#E&hL z$wRV+y}K(wFs7eJkCyC^N~N*y2VrUBZ@E*YPK-OL9a<^SK?%Uh#4Zx3(2G{!pw4=F z`+M7cL&y3-{pz43 zAC$Bq?jw}A#)&r#;}fKQvU|Ho3%Cg+yA0nwth*|!QBPM74D|3WMYe?(jahe(ZYt&$ zI0C;=R@7AH<{F37k~yKc!nAu+dtUKH>g5_$s@P4EY8sZ0nehda6JSC05wF7QYpi^N z@UNqYZ`u12B8+ZH@Zr*rnk5jn+017<5@9`ieiOcsSB#YF{3 znH|2DUV4BA>$Nh}upL{vSipIg3J~i^AIfC>rJFT%9a()eeaWKC?)&3r0SfX^CiauS zeL-ikvn*+JP#$~!X1`*O(HKB;lcZgZcK<_GL9t*fE0{D5^x8@}s*+qeDiHbIN{hU6sdan{R34;^eehChIFxh#~c!5hZf9Cpk+a*P6cXXnkO^O2mRoIX5 zJ?Q6;4uhew=;g_=s#FK5pgjv9kpWB{0A95!IpBT0E8D73hau;)GN+?K>mdEyihC$d z1|EIFikvL&iVlevEaWIJ!2ze_zxZQVHo~Udegb>sgcXZo9Rwho5tLtfU#}UVkkv~f zFOPnd(d@0WKD-Z+#QB|G=ZwCi#*oa1jF6*EH_Cy!YYrc3C5h zeLq9w&_|(*U-C_@=8{)gJ z&5TSA#iILZ3jH~O^7N;&-l{eevo$v>esvCjUc)b}VQf@qMgmh5Q`1b&?#ORsfk0`d z+~=fDso0RA(G7Zk4GKtt8X`T3v^@H=RlTOX&<)W;2XAoRc9s*SVWd zGaosPvR*7kH_2rXj~x zK$^)5SeSqx>wKcb&vln$Z;Bd7!-YMDe2DU4n0W`*HgN$tY`3X*!Ak>F+)wqpi0 zJ_}o)vtv}=Mg2BEL^f~%7$PLVy_Q;13w_$#DSToEsPM0=<^VMB-{w(FG;Gh}AB12$ z`>|?m2b16Hm8vvh2w$n7l7NT48lES>&dV6GrE6Gzs6N^U;i(Oj?StRyhzy)aI<{?5X@SXHh@mBxDg6GOIGfN zl~uH*b~X`L(#r^Q?P35s4$$tGtENBquza4eO@$caG{W$sv4P8S`#motu7bq66zqR7 ze)>n$B#EmKR%(N(+ZuN;1%vwV3{Anw9C3pm%)r+x{7T}x5IC(DW4!J`ee*MZR8CA} zy#CA3*1zD%I8EmPijmYT0g!7o^ukYx2nn1|ogo&i8c8z;7@6;nkEq_nKnLQoA3e$in{T^MXQG%viBQ7zqN)EvjsJ%_xhxxkan-S#EF78wHjCa#VblJQ z;STt`WAj2y#7IBUnuWNS+PaQT0_2&RtNSOwn|eFFe@+@P@BT=tMU|~_lx0;MH%#su z=iSl#kpp-#RvL+9=X+P)Yf5Ik9;^ccs6CU({~QzP31S=mvbi4LJKTu4CRsHCSZglse+d4|c1_fpikO2#o__#-SOL;fWTf~q`XKePH|9astA0H#a+L2meBn9!bb}a_p8q4?p&zi zKr(*h3=@Q3pBhNF?KXJ&0C4zS9CF(`aY+-GEjNM;;6_0ZRvPaw%gHLK)#rN8WnTIS z_G~*6-GBOLzvICu(Bb|(uR8vx9}o~E`}l=R^t)r}Z|_;sH3UG*zF_jL#q{L6w%*pK z%BVm1)o&dV{dC8Iv&r4xj?bhVVQy513ORv{wCmq2y z)wcRacWBhT#4;)USCGIMUuMzBn2+?`N3U(Z{7174jpRS*GtslQcf?Ykk7`Pci-Z;3 z`-lLb+kW|P&v9bFIs?xgRp8L%rglxT#$l`Au#)e}bKOSmG3G4&iqVrIlEZcT!y`7# zyjUhrxAx=Pvq{95lAjUV3ybQ=_(uk*g3^rG0rZaBK6Gs%4~vDmX}qzRmeu;xM*3c7 z$z+Y?l67~?URc#VhvIVLXw?et3pTD|6+8V69*f?P5%?&lu)=)>wY($?>rO?h<==1N zB{ttF$Zm)B$FFU`;T?h|z19JHuD%)aj0yk5eZW`DyV4)XmyoLMaG*_N^1)r`f*CO zZ06Xr_p$cDUu5Lzq{D*QN}KAD-P~wmg^Qc-(T~mCT`Qer` z=I5VmDIdPUa1wx&1?S8d3btT5@IfK!7yreD((s)acu~X{eLKoL)CH{RXkhE-sQrkdb#$C4_hBiYnIBGDjhc8E{~p!?FL0hL;3y+jeyS`2ooVbB~!(& z7;T`W=nPoi76T(~{kDghfc+IGO}W+mraX)4j!>&n;sYzqqlleivM-UDoLWxn%sV*% zq;-1vPt`XN!8=6ai|nt z;=D&ocLJ6H4%m2#xkm(2UctG{(&OaDscgHV8gM<;<1z@@?Z~Y%rR*}PFD1Dun$=^v zCt5h{>dn03Q(SRde0I%EIO9&PM#4lYJrAGom+;wR^ksl=^rx80!MD`+oraARU~!;?N1=Lpw^F-0GL) zrKTvpW9#`6b&HTKHj6IJb+{**Zt2rIEQZ$#? zKDx9-YL07VD{iQWY*@1X9T>I8xr zmDhwi25rv|eH;26My|3`M8}~%G8u<_t|->GfPMr=$4vot8HL87Y@!RmMGL+@mV4;l z$E7U-oEu5x-5=_0N*kxj3R9dPNotuO4PlIhb;M;DHeDWgucR|6ueJ5f%hc9Lrr9{@ z)XVu#)*Wb7i(lNUua;DVG`MVkk27) z91|+cTq*t(W9S zSKgO|xNej*M2{;tEzM0DtkB2?kNiNTT35ZABBY|)3_Ttrdn_l7*Rk!)X(~0Kd<8yF zj>dpwlc=!fdw-@f!#Kq;XOjvrt7xinu8g_wwm`ew%20bAYs1X(%yp&p>O+k&>V1Vj z(1?9w2LXeiv@)n|q=2*CG3LN`tmqZ~cX*Q-{AN#q%G~Up;hFhf3wZ7pCAk0~thz1C z8+;{g1b<##)i~*su>te}r`Hd}w;u%a`O9U!A#%Y+$rS?5 zfT4Wa*?~{|6fvu9AqG7e-L&hB4c`No6ZSkYa&bIK(s7hdVag*`)t{hxG|q+b0>+W< z_?bKj6_hw>^JWqxnxbH_*mNJ+QC>!#llraAprgf(bzLW?KJp)uN>&P2zR72o7{a4)z=NCa=}S>!u$9lr1_e<$$R>R!uTfX^R$);27s;Y+oYIz4EF0aJrGpxP>4o~3|J)rY&T)P zNET4d?6Kn%1UlaWF1g;99Qhy!84g9kfbm0PV-O((rQaC7jvfbhV$wLSC|Bxo54Pf-cP z$`oNaKGB=lb^9+KCg61d2vF@=F_i}{X!@qJ*UH7S|7zFX*!N7UX*zNylKR{irf+@| z$GF67Xc!&MoI2Gs3ZKmF8do!eKi?w2`4Wwl#f$=mmDU727911|TQ6+Sd#lgHqODvy zyzS@#SW;wAT9N^{N>y?@jKK#J7L$pU3RRJXyNbmK<+O$_8{?XDL zc35N!0QpS9vXm~z0Gp7x@Q%UBAx>>z9y=M*qG^TYT4R_1;&n zmG2$^lW@mT5jdPb-YzPZWv003uqRPj+51Lbea&4)H zepz~D16&vc=Kv=H%+^V8Bn+p4s~8?=y^+W7?@#qJuTGvAkr)dY1I2{8^p2p|>Fd+4 zc6?YZBfan?H#q#HQp&Ol{c%o--%P&i-Ea|SOLuDAA!#n9j2;qs&cD`b0+ z^1Eam=2b36o_GXc^Ij!u3!f#H;?1j(TCn(tg(yytd&!7~f_jRO;Hr2EW6p2l%4!_` ze?Pwe(XR~z*5mc_0}5f;J%6&AoJ!;1^@_9r2*t84qrh8TuLyNRPq5p1`){j znst!;dyfY=5GO^!+jOAXb!Z}xkNuAP@!wgUTaGlVg*C`xHdfB{w>nrlI=6D!7f5oC ze}EO&P$UOh!EW9eo4Yysr`UhkCl(5lYUAesO-LLIfB?o~wq441Nqfutdp|*f`B?QI z6=?T8dZ;|f{7!i_(~-M*@`S&zPBT*T>}wAI-Og!dR;;(oo3kQ8Ub?hv&v*L8H+iHP zbH;Kutex1b)dBZO%MtU63|8Gh+9QW{TATDr=8e>XJ3~6ch9AJ+*F{Ax7(4jHr?}JE z+zdEp9EZH~aku>x_MfMC^aDT;KiQfOh9v>e95P{RYS!@LFOe%7uOVi8BcnC>#;&WI z+u03Dhfzbp49pO033iz>-Ko+2$+|=Gw@nQ;2%a21I$^V#Jq6G z;Wl$JuW1q3l!PEPvW5)?{fiCX7vg+209>RSO)3UXr(u6*-0f_$BL~wvwH3Wph*1{iwcAQJcsN6>Ca=KQp`^hWv{vJ zNeb!Wv880o@y`R*pR(V@eZK3!o}X$+jNZct(^-%&h}0fy}A>_ zn&P5G-;!c6;v|Hcqg;Fi*t*V=BXLisP765o&`&0G+tokS)i+wi5wn4IoTMmRu*)VC zzihvCoyFvUw9HhXPcQY(5DBKIDO^W_@0HQ&k(?~f@5IO`+`axtcWniF0iGA7r<(%_ zMrek;^Bu{B98Ahx$}&eRwBcy>?olzBe&gjk1>m2vOpMth>kf(q5+HIT1XW{lF+=%c zs`+WHEV#C(7v#ijl=5_*T&qwtaMINMe-^;&yX{8v6cc&F(i`>E8H>Z;a-W7jY9dUT ziLsw2r963P99o7i+_m768rI%<+Ii}^`1MnZh|hg$UQtSX>|VUphT)P*Q3WMhr6M=U z(T&~2F#_zTTp4s9>dbTN(fMi`=92r@x85P0MrH50p8dB!;^-|n#yHUK2YqkwN^UPT z6D+u+SJhY>L)Du^Xv%ySpJ*HJrH)2vdACQ>ir@p>KBEyDFq60NerxrBb8DhNs zn~v1Vr-R;~@j^XTsT0fCY<}_6mU6y~lS6g=GLS8KZ{-O0^}5McBgHw}tBn}S5c9$C zNr<%!ZMdG&p|WQcd$i%&g_TlUxD)bXId7M*=$O7aK8r(eRasUpci_oEV}tBW#q?@^ zoMPJ#6|Qp0ifJZYkbPldX#%=~haZVm7wp?<-Cg>BzsQxSD2jb7PF_kXEH1x<94z68A+0j(gL^NA_5~I~kSrZ{_R*p{r zQg0_bxwi8eiNGV81f7L2AW~>GSAFA-+M88VyY7kAEH^(g+xHaN;tJ2U@O~aANq={l zK_`13EkZvdTi(hS-PYY~>^~(Qa&Gj1fw)b23yYD)cfaR|YR~)5i|*>reU8{PE8Xwf zTRNl#MQ)~AQp*QbRiW-fcd z=9;_8?VDn9O-g9a(T|IsIm7?{ZvMBgE~4b|-WVHvA#dD{1#f_qF@0$_HYJx+@jZv2 z@=ON$k4Su1xz8NxZ&c6adXE%VKWa+x=DWzT+UbUs>LMTV4o@1{hue6peRCji+2Co2 zt;)Op{O*1PtIrx^k>?=y0`O@ZL+{9@dL`O@Bjqjv#N2$%IqFt(DU}gLHRfIx} zyW=yBRpK5O2+gRZ*V-X7aeDbXq6Ez4d$B$6vi)4d%_Sid z!6acS)Ou`v><|hIVHXNSlKFlnZoAL1J-74uYG(wzYdha;QbYd)YWNf}V5heRtv^;COZ zUA45gdc9U%oVnzR;y9ZKu@M`w{3w1bz3A0O-v*@=7_CkxPxER`?fL<^WRWdCBZYQV z@I>Q*V#76AsTAIuB-ZPl>3RP>F&ESWymG0dWAeu65oeUFDtk7vNVnz|w?c-F5&o;< z|ExRz>;3dafTi#X#;9VUv6{`hnj0N_n)=>4RH7J{WQ#E~khI<>1Y1-7p%cP)Wp-l-vWVRh}_ z$^nTs9t&voa&*n`+J(Rfx({4-lIOlIBg8X8#*>un@6T(8U~11x+W)A0`zCL`-hrPA zkRt_RUgz{qP2tKq`3ycq+wSYey9sri=>V)s0NJgZ$JSFDZamE3?ucZQ$SVmn>0p{H z6e7#=!607s*lYC>Y&-HgMiADk3sGn&Wh)t)F{! zI#I+qabhBIS$dV`{Uf`^!vkt@*cRww3#=Pr^f>0E3fs4@p9ZjEK3JwzzwA%;y74Zv zp7q~zMO9=jRA}lC*mxXg?XR#&QzZF<(E>(#No`}A0@0Whagh(c^(8LOnV7?<2NN^) zguO=wpNR@I@E%m+)+Vs^u^!w!5m9+K6^?Xy<{ zC7b2m3UOMt>vp%=hk2ND{iLo&?5F@`N;^)r;w zO0X1Ym}~h|+h(N)t)rIfpp{LUQf`K9vBw9;^X|K@k^IgbgCrzq@k;4MN9BrMluse@ z^C*F<3cy4^C4V~~r9~f^+Sf>AaG+e}>q$UQ@Ql1Xi`qI?4h0VcdqlRVO;>myN9qpvSho#%Rc5%!0i zX?+trN&#DUtNL%z64V@IN1ovi>KLXeqG%JD(dM?Zsz|EWy?8*qlI|6Q7BlscqRy5b z(=M$6te4-g>8DSUh9#OiGsP-;aSQCc&&!V}M1&|9J=DX`U;mA>(|HT1DZ8t8QTZ;O-6Y+n|ByocKYF15@xZ*c@xFekx&2MgNE=|I zcc5`fpUB$xsNAC^du0_zOOI#`#|M+NIcN&g(^TRmt2R~4u-o?}&v|D|7{fYlp>!CA z_C~5XOZY41r9!GCUQ=jzF|>6N639cbxf4)}@5FVk zD=`aKaNv~b$VR2sE8#z-j*hh1M3u%&L5@aDVJsGMNy(d#9As2Ucsq!tr^TL<>ifY# zsYi@-x0#6XmfOd%NQQm4?)C956kd*?YzAaF1)dU}eGz;{-~*9A)+tbJnL03Bd)hO! z!IDde=9frWe)Z__%YxAY;;LXszqYFR))jVBedcet)0Qa?Cu~oq#;9gS8qspV=QAs( z$|$2uhww^`6)x8pCpq93vz4ld`7yfr+ca&^^b!gvK@Po`d_(=UOJT<#G zOWz)j3g9`-Dm016sus1{PJPgo#UqS-OPL9b0(aMjdY8j{;x~KpC{qwBx4c@xZwo#a zNBATV70(uFDm5p)leI@)vUQk(Y5Zb-Jz8;I3fvZs@LJb@k3g)mNIH#d*VQwi?aF5Y z{d2!IdLTEVbqx_tmIb;oDfv~eojGk!Z29$)Nb)Els2DSxundjsespuVxx|$#o4c?# zd)dD|8ZP{{$d`9rd&JoHHFZu`n~?EjIR+{!_yTPPIqWMU|Aa^4S@_Zy_f08*K4*X1 z`{>n8gC@}WduHH@>ELt;cqAl(A^ z=CdX&S`uz_A;b~{vKeGyh>o^v8skEE+IB{YLpj&q+aiJ`9Yr53JXDer zL*5%`X$xI=Wi`v&wB$J)b&ir=cMp9sKABx;CFc1Afd`hiySVc}{ajDaTce;Y5Kt*r zDfLx{ik2oPkUMpP=XZ)3L7nAQqvVI7H1%98rOA_cc!3C0p|@Bt-{K|T55aD3wuF}id-DgVM%;<&1GNUMs#KOh4Ru!BcN z*34j~$)YLA-||5sXF5#Vjxmqo$3{-q5KyK$e8U18wAdq7)_&*ul8Z(d1L?s#dg)^y z@$=hv+7Opk6AAn?}IUABeeXIK=3EBZ?-xyTbjf+iFz!ZMcARy&ppECnc@*WVVr>oc(eb z#Wc`Jqs;J#DEymT>GyqI#^u=P&nc^;0q}$1i3Su#;!c*$ox}UXzdj`^;3=iK?@-&) z#BY_VR-t{|^qFopJfRg^P@l7#Yax#9|z3og~@8qcYm-o%ltAjX=w506s z{HiKa`8=n?J@>#9hTrK9^6#!0nyDa@L2^I3ZzmjM?Adx@-?5vbPU^_Y*uGD0 zvsxt*U{aJ)hQdjt<}sCFmhc8mXwVi_R0#q<@NCDto05Eg#k?^P@Ox2eD_UCkpuG+y zH&$MREA;aT&lsfZWvJrkt4kHkb~M2Hk96{oDVJ4=o}v-3Uom}8kNW9I`{qW-PU;*} z?*Vl>kJ45YW%kOfY|PNCsVAyO)J&Ta0HR_V*3DfuIK6gNljph67r%1i4`1q^V;u|< z2~x?WAAw^+Uy9<##QYLjLxSZM6kbOk`@JG*tv);nqI>1kLhC%3n6mP|0^itp?Y*&a zw(^Y3X@q7JX2fOgBa%v{mq6+#-r|CY2BP@k-9_1K!$v$>Y*KqEdvNxZoRQj1-IOW5 zt8VQl*ZA@l^;t15-_J_ncB>Z>rRTM2d3=KghSqV)p4;t$)9)H(UV(7x6q3~osMn^{ z9^bD}_L$hvf4q|r6=xBHI5BMy9DqbuYHDiJQZ19u?VEXRYN5qJ%Xg}+1g`(mD9Pfr zE)4QY9@&?!&K&Wq)DvW=2+>#?8U zbL5^Y9snz1Cy-qySC>iy9$1SJ+j8FlSU!(jWa~Oag7>0;o{L7lTf++2hi+E^kJP8 zN(YtVJoCWqq()0Gp$wVtVjuE?H5Vf)$oGyjUgtU#W4mc#{u#&#OSl~s3dx(9UkuYa z^HO8;^4^PuHpAhTO!HOKzKj*c3IaFJD2 ztdz=UPY*+ZjxR?L7?0P2kLd5z<&=$<@_;DsJ_}FQq)wYHt;9tdedd^sptm+FK;bzU zIX(;A`UOi9-h#)HEyJK{q9sCFpyf^rMD9|UN-SOTd7sTH1Zc=0)K?J%|2n@3N#V)K zb-T=T#{aPG%kO}+Rn4Ds>?lF&V|c~X^WgZ9wou*^MFa}7c%h{1un9NM3~R_h64TOv zS{y&yDzruOFR4?UtGA{28K1?xG`6m_OVTd6dWd#C;Iw!gasTT;9?GelXP~`{5KHff zvw7g^ZjDf-pkfgEo9`GRC)G9aKdi%&|6S^!y%Zi&M; zDVfsi$-dwT`_DOohm>E3GN?xE6~)T(!xe{9inO&0M-LlH=)#dXE^JyK9Vw_k0v~GF zKIUHfw~D)c&C8TANM2hky`}~+!7Ok9Y^oGom35v9ysBE z<>}H;6R~IEr4>Sw7}+=VG5qsZd;&EctwCBy*b3CPCx&}*1MMZTY&kCe(Y~;1ZT(nq z?_%5hVtf=yy!=s!smGDiGz4pybn>GuJg2QfNs<xD4dT!xor>RAZT*k8Pl;} zojAzZ*06DI->=No*AIyr8=NXiZD4>X2Co!U<*DS4E1iD+4z~o~b@Bkls8#)o=Z`AX zIw0nWZ>MM5IW5x#W=jixA1=Ld9B-_f;$j=H^Y4Nm1*dt7Qwyi{#uZO1o&NA<{@14b zIT5VfY)5SF+_G7A29l7BGPt`r8{Y0HqM}Pz4f`%53fUyS%xxP#o7L-m|1vgYb=W`m z&i(cBmxuFezD@5)UDUH8nFk;h!kV6o?FzqNs4g5{*4)xTqWMJldpG4(|GD&H$T7Le zeGytR_qtHvU5d$ytPgjm3?p`VavigxcmeWhSUS5Pbyt8W?<>dh0NY^|sO`$&n>e#@ z{`Vn)QuOoo`!qpJif*Zx+J?ovwBPey`;RJL0n1IKAn@@ht4jJIXRus9hpTr~WWsh| zJf3}DQTG#R!f~Uu?oK)Sct{+?#-q?_$*J_&cVX$MT8%vnNvPCguN%-}Z!!8@N-O=) zp|gg7k%EH81eoB9g={W%B(o>24y)(yK271B&Njvi8B2#g9^Lnx$bJ#*bz`gli=>fM zAP;%e!7o~>udOY?jsF)ynSf47~t$evK*^l`3~%Wa>YdmsAaVIXs=Qhs3mMcyF>`i&e_* zR9bNd;eFi31?=hUDok0-TeNK(5WB`_#Q&&at1Svb<(L#8NSRW^iGX#8K+AT$ke2HTfZjD7<|H zb%TXEN2awM-NcBm&{Gygn*U$&_y7FJj7y{NB?=7>KOo;bzgw@IzW%K}*Mf52%^rbJ zP}3QFS7iypYHNAxYPhiI&W*w>Ip#DR);n0dI?hfvH9`eQtBPQwSRWIVE2w_Q$`O1p z#Gs|OKXi62DxXU(g83R!d%l5Y9I$iR1}F1|DlsUhdSrfYEwt&suU)`obp@xwPQp>9IgR58-!5exlYC zcweXz901D0h}N#?8g<*}Q$|d&GEa zol;GCwf@eOtYyqSIB76*A3%Ho79y{DKI=kM+0{O|&LECyg7#`hGrt@xJ{*xJe417r z!|V2AhSfKnkN2&yL8SL>M1-xuoy6@X5IRhMYG+~{>{rVq0$alKae#u9k4X;W@>U_W zc4>*WXC#Mpu{BssD~kPGD)D-agpqID1CCDb+O`@a5 zlX^O3twr6Cr!8Od3wC;4tn*h%aXR=6D|+-B*JV@c7l-n#cL4;l>+KOljP~}lyf1-= z;25rW6-K_?eDy5&NyU0ehf6X{CujLXzm4M~|#51ijezMCS<=W`B0r zVxyLipB}ow5Qz>2NWrgEa=+eHd==r7(nFE6xl`O6;Ju-c^;PZQxjoblT26S^d`ub4 z#j`hXJj?{@)?(Mly^95XX#olt1r;SuI->Bv-23KtjCduz#lJqXw?GpDTq3SN@2k0y zIGeHMOhf=w{>M+$^JN)T*JI2id@xHFbWPL6KX%}uNh>0Yfhf{3vTyfvy5Cra<>`26 z#^NiaS4x2f3>w?2)y9APbO=;#xTEcV;plRJZi@RM*5aq^!Vk6ZMY^Dz%Xu^+ir5oU zw6ayhLfPT$;0c!FMig?Q*xMmTMg}WKNJ~}a=-K&<_YJkpZR1_om9${)9vi|E7%8ds z>ygrDv%g*QYz)7vn*Pws(aR@#h{}(7F+qs8)WN(A2oop_so&;wTFOr+;Q@PztCQqk z_KL+%pT;>>&2ngC7>EBLVWg%)rmy~9`8IBMJXBCU$3Y|u&BRpszJ|s$VBERGKDNZ_ zUodO`7Kw1ov$_qRSVo2=yUaIxC4kWvn>qSx{#zy7g${jnT6F;%toNKGE%f?-E7+gy zyj-sR>c)}@$5)8X*;*89+eX_pjIl4o>m90h)t%HE8gvwDw0~ImUDzCmj7}w&pxh&V z>nacu(y(kyzuY*X_h@VUP1RIsfe<-mv~T*z;z4_R(S?M1$0e%Urull+#G<#Jr#WSk zD~p1{$g7(a?DWua@wwX;Ln!<{6F~vguar)re{a_A(cRT{h3Kcx`-~Gk5hS{c6+8u4 zU%mL}_*KaaPv6Foo46{atb`Ux_+<!iTvlNLO{o}bJavkDJAiJ7`lIM5H`j!L3 zOV6R8H8YIJXDcd39NQ#5FRM6XOS#(pqT&xySQAVH?`k1m9Iz3%D}F{h>qJ)=*lyGE zv)>YTnK9xgl95|+7*Y4#>CUnn_diV*FMxO9Po?qjBN@~03%yb}9M1>y7Ug*$I&;*r zczD@U&RwfN>9%C-gApCIWUPYz(aw_-vvcdQ?L#YChQaDIHK#Y20XmMXxi!lRyYkEy z&7{@vIQF}4PQM1AnXfXIUa@F^&0PKSv!t&g?FtKZGehp7IdQb$)97*jz#Dx#>s)4* z-MZ#zTtr80@I%!!9g(4jpD%OYaACPt>8`;q>IBcjtzM;lN7IW=gLJ!L;px})`qEMj zg#CoigNCc&cZMUmB${Knpz_(Z%nZicO;_}CzdVR`&jky;e5QZGp%Q%OyphxYgiB>q zsDorsk8nqr8KVE}F;?)Rp~NeJZ_b$1>!Cz*yURhM-w_rt)OZrOFYp!68r#waancfD z4HXt@tiuwxeK$44^0btqS39&?CnG$;(@xj>H`5QH!d2SC=nQ+aot+o&Po<1_1*ii2CJ0q0J5LZo|#9+nWb_tEgAj z0F_~?3JH8OnU59yK7rO;Q6YPEE+}J}SNCSGy7+A&Ux-BR4Xf8AVb@x(=K7ZZqiU(r z`^%N-n^5%{4&jUgWp^(5_s8LU_AZ1+?`XL_+SI-i{*xsb8eV+qqnpL0c(EUF8{6sU zTK+Q(xXqaJtO;Yc|L1W4n|aU(62W5fLv_{G+$QVkDM_~!{oz|a5tY^TesGP~5w+E{ zEvxEkJ$bsK^h4Ok(?kUNDWYs?om=hq(fjJF;WynT3|E`K}IvAyHjdN zBb`&aJI>=d=e^$Rde3`){{URup69;5-%pl!Foj|3fCczh&=WD!WBm!|*^4i6>&-yP z>4eKvCvU(~l;3j4ZF{rt?wjdusk@4Oo8cej2u(4ZIFE2Xzi2g^3`ha@i*J@`u@z3R zo}BZbychrI-28Pk|1@5d_3KZ+wpDXx|uJ6O%R(QsLXYerQ>XXT5Oe606_%vIUM7=+(g}W%{P&|PSjyn zYWcPNFSG!b=_20WL6-708|MEM4gBu|NOoU5x&w%q>=9_Z(YWfrobT8g!=)aj?zHcI zQzA!m@v1{ND-GFE=_Y<>AC=S5-|Jeob~jlL=*ng;cT^Tk8y zQr`9Z_s8g28Gt)+U^ehsh1xskpAU>8X}2pEtxGQym?mxQtd1^y%qk)3Oj3PxGKVUu zB+rT&on1FR!x+a2OGGm`*azJ`S;g^RaFV*_tio(FRXK_8utW4Kx%%ZNqVJalUhveI z26AF$cc|KT*%G#t?xJXv$e0&{q)%b1K@IRLiM-=Nhll#{K>ZRwq!%j5@#9esG?4_1jm`JuB-1fQEy8mIm)TBvQ8)nETx zm`&j4YX=YIku59o6$^Hh)#ilmbp7#Iy#Etf*nd4L4Cw18U#Dxq0b*#` z$Y2f<{_3}~fe`@K(*j#{r%E@(5vkcgG)QKCekQBSz=&PWlMdw=WMFuh2Pu&$oRoL$ z>g=Qh5RluU7d+E~<C20nO|6gxqUZS^%0P*hFh8W^XQtDI@goxs7P|L$VkJ8 ze0{mc3u5j9>Te&*eIr)jRynWH3d}I(6b412RWR{#M-E>tP_c$QT{quHS3`t7s+uQF zEa#3rmJdaU;3}!Vb~q}fgvM20G{jSJOBf;I>F`wT(^niEt&Q$({+pOWfUQ8CNusyA zWTs_z(ops1#5*bPF30&+CEx(uYC83d7a`)sIlTD(9H6Oqw$$M3wrrnYc4YaYl?bQY zx-Ij`qy0>bL^O48{;=N0VwlA5JbZp+-MCWdVE=r2z5eR_FcWh!Uc`Frm{pZqSJ`{D zB~sXXzS<+(zWR&(Y%Rbffjb>pQwx8KvyRQ07EuYXup1gb9mK@Pugc5&@kiUw!3cIG zHu*F!h2jt5IF_bjJ6;931l#pUyp%)ks7&Bg$c|(`>UUe_uq+#A`xziYb->3>$Gd9u ze;sikk5L`=QkqJjF7uo11_{q2!Ck+e+x0)4l=vI88}`bg#L5*PL90T|n-*3x_JH4n5Sc94=!*z3v5 zEhwqJ)Ztkcc^2lNqNu|Ia2oCr8tA$;Xbuf{X?7IA2JWslD}84yv)`sC;I^p){5Bn@ zU`F;8CmD~PpU4ZPNJw~?WvKlS=AewcIp(2rEi%unGX8#%nDB7EuyzsfY5)p(tc3ON zjDly+AAfxe=y2E5NXf_cz>{Oso+yp;MN5a0loXedFkJu-H3swvv*pA!>I?C1)`d_I z3+>uP_-G^$TC&A)r&5XtX3VvE?BJL|fZCFX{k9Mt0~z1nhfK6f>5e%nF5YODsD zu3Xa#*f$J}KW#oNovy*|G)Hf>mHve)K&lwhpIJU{`EZdccw{gIPmt z)x+oP%(h)(w5qVvn`=`5MlUi*VVvR-c1v49q)qCLJ zE#{H(};vUYOUG54s)74V-xjgxE}C5$Tw*UiT4`j z<-teIy!K;kkv~t2w+VzZ7hHfJX4AYOGSFvXfm+#pVcSq4?bHrXM4>?8I3J3&feAZx zt<(PV!&f5sp#WCJCyVo6r&Qv~S4jB{BC6P^23d1;!n$9|dPZQA7Y*}vi_TIEaiD<| z1#=iF(%>o%^poHK9jIoAgFS>CoZmR@_k^j6DNvg=O8Ys70s#0{K}w#~gTb+tm2$LP z1t5S(2D7V>;6K!l12m|4k$U*kUZW_}n>vuq1Ifm<)0=cnARL|)_~(EP=&WjDKtroc z#1|2(`06__lin|QC4<~NflOu(v#Ww7VXEot??*^MxEUfVfU+rMMI5|;we1c3sDFip zw5ae|Li5&ZHx6&xmQuJ%FOOx{$Cz!ATlTl}rQ=&7p=4WY;R1o5|8|gn%@wlEs1M4> zL)*H3L+lrFSqtqo&L3~~y(rYS3W;6mRstBWJoUQGh*a{#fp6M)hI8-9y>=vejb@%} z-@m8pVPY^L3GsAajJ`~#+%5;_QRe}3g*(YpKMZPI1rXBMC&tp|R!>Zl8TSKcSk%~q zGyaZyqUrwBvtAhHbk7STU?bp1S#8(fzZ%NC;tV|RX&G$3N1pyBXWevg*FY7Xt$xl< zN`YgFLFqU?6KZIco(w?#Jb#Y4oHlRUXMgS@)pY8ilDOXkM1xT`lYjc8=u84QUV{n> zqbz4_;^~}!cS@PxUMRgAPz8}~&vc9|gKsZm0z;ow7b_7*m6GVi37f{arZYOHH1p&v zek@#Gbm|k0kN@%G&UQ8BUOkrSv!L+XA*pcfA_G|00I5qemSx_zo59H!5ib@vyb2#m zSg1{3xZF1HaTj@L5VI_)_?ot#Pq$?7c-%M(@xopMi3OfOU~0D?O2I-qb&>n&@zNaq zF?aq0P>)!{C1i6oOX`u`S1~=C>e)ZX_{BM*FC{LY}~z^&h^8BCPnCbBmppO9SBC%^v0^1><1GvOGI_5fs5evEN06oF$r_muIjoFlywc>rYEf?me>{ z+=W9zoEX8q{17(evo?Z-Lr>`8y6l_H=x4Db@G1BA!oQ419r$6FgJQ0?=$YET8>QtI zez+=a_XxP*2Y6ES4rBCu){XykFf3?C2Vs4Q{ke@P&GeBSj#_lYZrvI3lcA~y7uzoG zcm*S3BDmSM(Dfc`3u1p(*huROK_I#TIl`C6oX1y1eZrFRc5v!ZiKe>L^QtPijf0~* zYF|s+WK$9lZ2ihtC}u(L-+0|{-kxUOY!W;tkR!w=2!+p>H$~hY=C$;<`8PBqp}dey zYMghLRuVR$2-;S~5fb&~OssYk&gTvN&$-yTE9za#>V(7g%uDMhRWF}A{SF^VtuOEcYqE4NDM3@p_cnR69rJcAtxj`onP5Dps3 z9J5Id;tee{vnbVD|28rIv#sf+V^cmLLn3h7s0o}_fP zJT>7_R64)d;%lk0B@e9e;GHSd&!Hf{oDHNOHjd8)E!18WH69x-eBfoyR>jLp`g*#! zs*KVwd&*NG>*k)RQ4wh)#nn%X#Aa+|83o|}7ckGaaCh?1`)9xT&qL@D1hDq7zVSKW zF@y$y>K;@|5>=_b5GBs%V1Ut6gfPVJQsd!;ocv83|M;hcKjhm^1qCmvXlM6M4lW(R z@R{m&KLwO_PF;bndU-m>Px^d)dS)kAo5WvXy3SW4p@3Sc$B(z|C-h!)&s*MH8Sw#N z<%oHL*Z7Fk_wnq}7zgX+aLbR&>dn{ElFBq^uTU@OaG@Ytdl79K8*uc<`W170p90#I ziGAIFqiA6{yFwFXK(xmcI;-oAa(#d=qqC|Lm3x*M6ZpZlX)8(GdXvl))8P>)-bGg; zs=^eHWiY>9&O1BElNkUxDoQxc;IAkBo~?G2#coaYUhGriZ_;jze{rCp`g|9OeH0={ zwO+n41%RraZ&SDFCu6;lj#l7FAsj4Gr({V~ZyqAoKqxEO+gE{xF>n~})ND|S0pz42j;W)gZk-}Y(UrXoPP@YiC$nwp;H_OifpWP5e2 z&Z-w14U(^N!pcZ7Z*+Zwx20|7b}I&u);Z9m;;Qttd1%nS_i}l!V1*i(e<6=1E*}^R z;Z_-f0GqlEx3701E9HN{uMhe=I#2zfx4bS~Dpa4949mo2J3I{i?~M;dCewxJ@q!XM zxry$TgC7|xrjE=>zAE{pdKz53^F4DDkB~qqabuo1OZ6!3#ME#FPG+$fiw)-+P&r8F z<5li2>?+HWOq-0M%#-NZX^#6_$H|3#U{6{iCz_XH;`B??jped4PrFF0_u!-NZgYI8 z`H6z&Ozr34Q$qjDM|{V$s2zCX|@3I^beR(DvAE`9;%n|e=w6iv<8mY_t< z7n=5**}9!_gjAi}aE|Fyg6P2?zPG=Gg9JGCn7}pa>hTA`1vXspLA^&_aeyar8J~83 z@4|fLbm0QuIHR_>L_=j{pcvKIdYVpvdZNm<2mZ&FI_VjS4zK1qmM#)$`A?8rX(Av4 z7!2D7o=5YYy)U*v0)5l2^t$Stlpop@?jkd6^9y#NUj-+FIk6bwH+Xeazng7wW_FSB zOXe0$yZYNpC?y?ZG1+CtRbyWgwn7F^{0Nzab?8^7lK7ps$o3^3ubd(KyQ^{?#*GY= zc>6-WRX$hwZ1mEY_zOIXCmj7PX=%udB0m04okaYW*W#Ul!Iby1lOYb{;01VI?BR#E zbCNRdXM$3vJIjXr&B0}&o0Q9|s&F&5>N)3EbRl8i*Y z?Jtvi^1zlX5)2FojF3?k0xcM#e?5#63r`nohs&i{ahXkUdg^W> zOePW%d%!Y(i%q09mBZLYBTC3rQd4&M^o*KbtLjF}mr#}aSbg9S__BiN@Pc*?$N{I5 zs($6qs*cVr9IxHq8s8api0-ww>WzPHR$5GZqR;jUM0en(oLW=gdjqHfKD=n zuSnB`EHlK&Mg$q-fnK#pj(F@bB|X{`2Utn7h5E?L-6m=fo=J6P*e24is%>nP-)%0z z-11-;%2IpzAZO^cv~aI9ITIH#u;GdOZ%R&-Fxq^BT6{AQ5{A-HoIz81t(!}wdf+<4 zD#8y;nAac7%z9(**@-l7CW5@U@HB{n#M>m8!IFdimoaWbCsBIY-;%y!dqY)wK4qJF z89|4`sFy`-v6jdeRWe`P{{^_O*92_!Skd=WDo1{Y z`Gf9X9_!X^!fi-(ta2Kgd|_#Gc)ckc!;$+eJ4_dz@y7N9REA6Uk#{E&b>)?tPB+<>eE-el{+5 z07xvAjw?uHkb#K-yRYTbclvHCkySwRrp5UGr8fS*sN)sky|5U+uYC5f#a>Eax7tVmR6#k$LYCXa*}*$2bj=a_n1}zYe`HS z?=18<-`zA}+f4*8dbEbNxY7c`v`xU<#Ld#CpwXJ*?^KDxP{ZCsuph<_U)3J*X99q1lHV5y-ya^6NhOrVco2eP z(st$ne}OIdh7W&JAE;B5TU2Ieszb+~7Fx7khjIZYtkwz~P1%J2%+!kA-GPtXixA6y zmOj~)ME(e|!AN_#9@3gWreNqe{@^lSow*L_7doK}rTRwW?_4pVWk= zJp(3-zLBI8;^1d(RfeYB70|N-rFSyn*^9XkTe@0qMt!r2lcR9h!{*_e8hSWMii65I z%~)aWn1N>4E0AM~#5)hFomu}69n=*xszT4l-pmzd9Y{WWsYV>c%h~Qh`DOmt3*er8 z#~dl+D|)=`G z$vUQ>Fu;$Hk>PS-n%5f)fA`&f2wNkl9FFQ z3}nvWHY@2(I7vl|*k?9}VoQpPyG(Tu{MPpG;_xa4a!9&WRIT6Nx6Qmv-tC`yDjV>h zI7Mg}B>djx3003!y}A=4J-yXR?o+4PN<0+tMDg5h?tF_Ffi6Wm9`#6BCy9BYMgVa8YQA6fF!pf!f(INr1meGfC6XM z`maOuS37m8G)OAOMnd+oF@k{?)!3*W)K{Lq)FxRG@wB})&zQ*PG4zkGwRK6vX6*-+ z176~Iz=*$vx}*(xtO;2bVJG#APv*vL#xBCiytZV%KvHd?eq^7HRkf;#f+wkoq$kJr zc4Q?7k8cl!;^aodbn%r84=b_F?~Tg8;o#;u$sAJ-7EGjiHvH_2?Pz*c{}^+&*K)<4 zUo0kz9gq}8@8BbD^Hu$;p-(N_H1yt z_YeELJK#dv92DEf1|AU1w%Ce6Qw%2a6+{YY@g3HEE|D`uf1W0p!LQZ3b4C~qL8eN= zEn~}v<}E}$u~!!u>4%f<`}L2%i~RMDrXigCYZeGnzyAX(9*k63PBU|Gvmhqt6Fq;M z`fN>QosQ08+j#6uTsN=S*7a6Kv*C~nJ$-lwcwM@3HB6xeuGgGe)^B!Mpq>l&^TX~H zpNg;-ecm&r`}+lgyNyX3`Iew)XN@aQl>OSkJ!(gP(sKmhFS5op?L4V~FOH*sI_p_9 z^OTm1xK(fi-?NxCdpO#$vytbc2ufME`2ne}hSU!%Qt3R}Vcl!@-f6`TLCo!GbWQyG z-%JvI6bl}Ne&mxNtQLdCkhu3pRhpxT%#`m3m#Rx+9s~ZJv5M;?R|oSOY0~h<)k0A_ zJb0G2af;q3nEj_)oN0x#)A4s1&;A&J|3plrz9HVaEfZ2J#q0$I`iUu#v2tKY5TD&K zEnhR?;~4gwH;3!G5`Z(02X%IPvy}PL5#6x3pz=55*#*~`8Ms0r1C41Y>EhGbep+gVn#E?8leJ69#C!4$FdZivZw)d7CyJ{X&I&!DCPDt~=a%d!I@Cc?Xui zB{piaJ73{$fZ^)p^Gr}>N**eo?G|zhvS0Ib2M|8mziISy5sx4I%;cS zq${j%GMatgG>kQwqd7_y=4`Nss9fY#+Fjc44wIho9GR|8~qK#&ls&fWX;=M{pjnmMwdpwz(ZAG5d6aK8H+x$W|)!l4yT4j3I8Zh z(x82Mj$*mfL!wgsKETQs`yjm1_@xvXle9x{BS(@aC@^Wl??VlbcIMfiFH{Q6ZB{|s~f?+cj8zkTF=cF z4p~=_H=w~~beD})Wc17tIi9f|u{G@7+=w*xLMh!3d2BdW|NCR(aC*Q{NaIyi%fXi( zr}LlxB@{37dsu0p&LY(w=(i~CxA~hFmh*@L2Si*B#!hUOE`E08S5gi&_Zc;rZnosM z&GfpvvQqTR_%J)EIi0R~)tW=4ec@`{Tu{sd!E;o5dgJ>K%PBSlbc_!DU5&ttmB908 zBb;N7Mi5kMJt-sOFAY z(fo|YAWFoCwn8=SeS=Sx949FuSa)|SVIMsCQc}@}vX782`u*4JKd5Hf!WXLS9q%{U zHP-S9B=7eFDHP64FO2XU zlY_wwOsa{aZRg>;T6wB_9%nx{yXXZloS zzV<#zESo=m?vcNuI3We@T9u1$*p=g@2rJX$U#5V<@yxrb+EojPFxUNzB&?$^J^E#9Nt&va{|s z7VqP@Oi*zQ8Bwf_rz*i?J#Qax+)AN?^`#1ZEKYN%Ef$^<>dRb_JX`beWG2A41AkP` zenVBrl;=756KK4^evOz}8+K<-BjA?;%|o$~fc7qNDNoln^uwv^lC)S7-L2oX%vJ9m zx|?XNY&uR*OS?YAh*w5zZ%Y(DQ7V8=@*BT*wC`^+&TU;&usBgq1nf+|Gb(54!pg zP~UX2m(|&5&d5$7b&W%12rF}ed1N+!lot5nb%EOnoQ{EE&?7ASi|qA6;Qdy>4R(ta zxQ$d4eGBu9BOqhVeQ+*P$X4a>s)-6xf;%P`-)sZf00XF{T}j7=MfnX^Mc^s}E?mKAoS!QbqAQ<5E)QegB$MGvp=(9*c3zH_>8q=>Z0lN%s}A z(@`gGzG_K6Q7OLa-<2ygC=o|R0v%Nb1_717ogkQlRXJEd-0L!Tes`vfGL~!shSz{@ zL7)smZMa|ZYBVuIie8O9x%)6wPSd>NlOP}vh{yR;N2Zj!E-op$Ks{jEvsCUf|MNt{ z(feX$=(mStN2vg24-n$7_ ztwlg|{bUJ`XXF4+X9n0WD*R#w=A0_QuGKR3V&kS0-`|07 zr2E{s;T|0@4C1btDzm8x74hn%RJQS9VxwQt#>s6!2HXccp3u}maHB&vRZUAk#B*r^ zcTIifm>ak9SZ373Nlj~tBRmHK=*k<>$^N?*g;8n}L%sRyrgA9n8Lp(ozRl!)2zu)D z4p93V9}~47LXsIRTODE!b`x8vG3%!#2Y&!Em#iEo_v=Olmixb_c@GB7OnZ9^Xi;d) zf|dTFd+obp*YFfTktoz`3V_|Gr_}%9VAp&mY40#1M5{hdP-ls?v~!su8-Ft7j_lYw zp8U!R?letIK>*iU790E8_@-hX3C><4)R;wHULEglY4era&EEnbwWq9X#U-^VDVpMJ zC#;GCMRU44-O=1c{>ZA%0FO{z{|CFZmvzuE;nP0`9;XYoow|7qS~;)m@z9ndQVFqJ zIq!Y!Gm+RM$YDKgtE%IH>5};RbqIvRUNZ}CW~li~=1oYAF$3nn%<{ip!{O{I8ylav zqLu&<8Zq0l>ABN%_#hitV8UMe{o*Z{z!yLK7(vwjM@RPNsFRW(U`=4yD8pw{`O6Yq zAp^YB)wAd^b`ImDgcAGiJlQjrc85)dn<`B-l^q#{bL$pLZ*OoLA>T4R42;VfACd4F)=BS?0fw~AZut2KO}+&_oyG-oP5a}4&9glvlI^;gz9aK5$rp_oWZ2=Y-0yb=D@7mLHD zK4@(~!z3;_2*7YJ2?_mT^gHe&Z)%@0urj>)_8_6aTPBwE2tC+AxvwXYDDsbI>@pYt zhShU}(7s^@=w72OZ2HzO_B+7|?8H9r$U#5kDuzm$_1>ilW; z_G(nN!p*(8*oN+|MMg*M*PGvn&L5x1zR5B&nDnG7)OnG5jvEkUC{7-C!=#i5g8x$! z@0fYPc9~7+8O%af0#1EY6Roc%LvJ(ImzkOk(bk5`b^I?SLgfe#8o%+-WOLi8AmZ$% zn@$wpx-${b8BJU`5bN)l<7RNI-F%`he#n~3h;P*#VeXCV9JF~ndXNtBL_n6m#o{1n zcsOAQ6|AoDN&~-3;6&X(kI=2_tp?NZJ2WFys~k@9H?ibuCRMc2^N)>l{f6gI;~~B? z*qfrvU+V83;jOSMQM2q&DgX8wsE6fSukL|dJQk3B{w!zW#%N?)8RV+wTFXJxNBA8b z;yE}$BJsyBJu?FMNoG7>&@VGdw@=X~RV>X*sZ6-MaklErS=La0!E`!$uyLGV50AE7 zZS={QGwODkhY`p&*vG>Ib&go!(Y?aeG0|@O)$is8fB0E`#Y&jhExVx`{wmH2z7nTW zva>49txGajsxdS`Y?es%xETo}DGzXs`^(X=%WD@)=MLk^C-+M zU4k()%5A8APbFCA_?JXAWI$7EuL|QIIfHKbsA|>8jq!jn5ny1hYH%xfTuSWRBSSp< zRQEYUnYP}I`%H6QTy-N`ego96D*`Ggr|tfgw+`x`@v zJF`T1wpMfP`CqnK?g0op+0b&~|pCtl^E?RRv9W>%9Qf7NW5-vv>|4Y=Y zaw5lQh@1bK>)7E{6%|6i3JO|*HTLZ_mD;qvg|YhdcnwY&)-=R<9s zo<7C6AG8+}^%$MEpOwLeKy@fAt<&Zu1RQI2*E z{>SYmDt}F!IEs=pVI&t?{S`HZUCzEN@Wt7g^9>dmG!m0B&1HSC+8k=0yr0TwQh^4RI<%wJSP%0#TUqG#x5Z}0SEGpgln2XEW9j!-2$ba^D>Nt(dHB_yB` zm7Ij7P~c)KRqq?Mw49~FofUp|@9vaj#A{tdrVbC2QC}J|f{)kf zezXb`4bFXlVn`_9tFixCGXkSLQc~2c* ztp-Tri92!0PyJtN)%_&#KaNqnE=veecD;rIUjT#fvIfU%a{VEOhno^}eA7Rdu1g`W zLC|P~6v!{8s!lrN@gO|1lmj@Di}_TO5gpV zO{{N6T%vxEFriKC^wGHql~T2nPINJubIVe;<+X;JRLX3RTm7T>nFq73#f7$LqM1rj zl0ovCv^{!S^Rd%8xL%>K6TtoE9#`+kz9RvBd2YBGqIQP1(dMQ95 zYu7_$k4z}A$5TLSBjq*{K%R=d&&sX7KM(@HmbVtNr&=M%VyK{qEQJmlVaVSo{*KQg-D}WvxX(G6G?oORq-7p~>@`aWt zTs5W7tR#|#`;Ja-ejS7{KBBz7n#Wb&e8*j_%s{mb-~u}0-R(*k@_{ux+j^vEntZNl zIKviov8e~h-hZ37Fh))M;QV@}`h5|-9?*PNVt;}`4lU_cmy18|UISKu`<9_o-iy#& zmu6%W0eM?AGe=%}J2%FgX>8(SMFV%kPm#4R@!5ws30TFkes{gp*gOzCE_)ew-02q! zi^Wdmvu}_#mzwiIW~nJ?RPA|W#??Z@POke!ilDf1hZnqkL-KT1N}~akvSBdgIeKs~ zOXy?$?rD)hTk8kPBS2+3z7gSN{5@gW6IJUU5Mb>CH5}-7e_eAITFaQ2NRjcp>xhGl z(eT3 zHtXwj-sb{WPaMUZz)KQ&P)P+wm*c|NuQ&_5n`RBbW&i6=Fr=wanGG)- zBBP5J0xqfl^_6n;Yzuq3sxd2y{GrZeV)UidPw}n)`*(LFprKdhASv4d6)TmhnEkOh%@$mAEnsdk(L!NR-rz3Z+vsVFg z#nje61jNBPHnz&dd#eIEa@n}jYYmDl=k`S^Uytvd|M=6ltGavVQ*lN z@<1YB2~DBWpschECj<1^KNw-R%wpvMn+#4>QXyZ&Lj7-zWAC4} zuBzt^k;MRgHusK+H+w?u1qS1=4CqaN!%J5Ow>XZSqm7V;%?4fr4{Re(2pEM>(HotE z3$Q|#l`EVN+Q%mAQOSSa$Mg5Y&78WJQqwIx3kH?H_r3Y9`kgT$3@#I7u8R6dO9ge2 z<}Z4^J%6v>iJ|z1QHQ;n2AA#5S_T3658IXJN7e6`W`Be@c?VCm5TMVw)HT|==sM~> z1fN$ww$QX6eA+**QEK6;SSE6FzqiHZC!@+^iqAO9o!^@yhGu)`XZH z-};#B51tR1d(>%XE7RrctT(@dXmUp7Xi)Zu%n*enntJbdflpDT7f3uv1S;ac%xUtUAmNruF+VPmQm@6U zlk_|8>G>WPD}JGr`%0$(viS*>(|5N>bQHKG6@y-jBF_erejHx)EY*_V-aar?6@sl& zm|u0az*cV>i2RZs8$Nnv6fvchK}|^W6%@kLm(xhQz}0ueHBF5%Raz$Welxj!)xU82 zH1Ht0#e6?3n`f%x63XNzbGURmVw7$TNCoV^DT)$D(yS)YR-qlOT7*>wb50m8mEOkn z5l?nKrFlFELhw84J_~PDFB?ha7zA=F#a*o!7X(5Ydj&@K`>doU+uS*$-`~-=+a&S= zRPXVP>ps5#&C5S2M`Z`UG`ijAAbvPZ)HdU4C-H8{?7Hs%m^AOUc#N&pkLImDyCc}( zkM2vM16_eICnGt={`kFM@2@i4iL$c6Z)%pW=Q_dr!;g`W)W&}qW*mcnEqBmUy<*NH zYudu1paYog`dWFO5|svYJ)~zedB-vQljs56dcULf2%#@1l$>qNLwBd1$P*S9w}xjA z{ko<|d}Mn44dXGX0aP^?vMJ?q_b#7=pDKeSZa?<8VY;-|Pc~bIfIsb1~H2<8WDCWVwNMrNxi87q-_vl|1uMb54Lj<>F|OOeaF zltVsQ;}3eViK9`k-nbP}24S=pz>o;{w1E&RqS4pHfgZFBeSe?<`&D6dKiNp&V9!uy+$Lxi!)XA zP*EuhBJ?<&Lh+*%)Klu_*loImCo)n@@C}P9C1&WLVbUyAOse0%ijkC*;wiuD{I!?c z{IXE{u%+FP@ZGwrt97;;Ukpt|gy6#-#b&8(5%vZBCyQ_{AgXj|t?qmp=B->Au!k{D zD|^a+GIDGHPK+t?i%wYnv%frlFbSXcV*-CHk6tYyI}>e76Et z`B{M0Qr@F5;fpGbHj&@QZ^ii@9Oak(2W^EZ{0a|1Ji2YfBYf-{?jx0dR9>mtM{5pN z-1ds>-kw?4MvoS0+y~SBV}J^VU`$M)Ve7|Py3mN7Qy_ZJu&;4)TkT8q%3>mRI)Ms> z&^Ca3qMosD5RoyZEs+?`4v-)Z=s)-8G_DnVYSQsk$b)p^EY8%vSRmUM3~mg~Zooej zh6@h5Ny7Rd4IL2Pe_=jATAy6eC(?&sev4y(n@~tZShLEe+Ym@BxSF*+oA8))9kPFT zq4E*+g_|{-(QB@d4e9k0?sszV5J>f~^Pno{6BDh2zXW{C$Oy!RcoxRg1>+9fn}C3G zJuf=WS%O)Xu+QPgKgPONhch+V za(Bm9e78)?XKGU4ad38))F_q0KrZ-B)8n9bYd(gmY=90mTj1wYt-=l`RimA8K!d_u z!6LdY5vS-pZf8T6>OD?*!Yt9(4vF}cMFvFh05;h6RPUob6H`7p4 zgZEXEOn>S15UUP6*aQ1O?Z3P{YdHWAj&VodbWheE*O$6?PaKny>-mb704f#}XfNM8$3P{vv9v(eF6e{9LD*JX{k z>uw3)iHUMbTzjNv6zH&8nqAyGK%#(5+b{rvjPwhKOUv;PGSI$f9>|J_Lx9Gg?=HPA zttqpfv1gjUy_0#p=Q}O_5(?0pM%uUr!pEYt5A)HxP?ed`}^-O+^o37`pq>M%LpBdgdcO@tKo5wkGd@IJr{elhYUz;&i0#M8pWAKA&0-Z_#&;++KtnsA9eH0Z+z57su&ZQB?j~ z+CDZUN1H5UM41Rp6C4yn@p0Sax$926c`NP08NSzo=e>xM+-b&_&f%NlmZUQ7%f(phy6Gaw59zpcGfGqa(vD#Yy&?)+ z#RoL)9KWh&1cfZn?m*sSGqi0icc#l>djpP$MF8-%S5(>PHmR<93IhP)4_(OCS@MAgI*pZ8y8<4&Pekc;S zX0mlM!~D_CXg%zW$Ua3DYja47m78SoAPQ{sLvoFYK&mRewXBK>Ply!^cmUZ8kO$x! z2E$=@)0fW-`%VDI++M38Z?lui11FzW+QbM8Yk!A^t_Dfj%qbWbA zyE~?M8xlLivw9=a|0kp?4it_s7$v5ONLd3dSSmnhl}zMDmswKhk)1Ff8T(NkQf%>g#)=8qs?B30wly>sFw<@1_NZt_ir# z00?-0fIEFqd!;iw@=WvX5c>#u<(P>nPj1+7jKCy&=op2_A;LJd=oheW7J-g&0O z?^@~D$T5I_wv$MU;=U8KCcL61qy63Kj%@)m5T3sQ zS58dpY;NS)tNb*~t9y_`p{zvV&426wXo^1$xgWuHM;Rqm+TNy|OgeQ{O2V{gj-}}Y z1im(l*oUmyGWUEbYz6{;$KG@lvZ3p*0=@gRq<1YaK`ZnOW4xmbwBORLN9?n-Re#Y! zDgZuOQME(`@m4{d<(idQDN#UF&XMC$PHO^=(#4(Gt0;`y&vgpoq z3WxlcO^i4|kS?0HzyK%=9?)c3ea0Ffn>G<81lGgJ0b%c#$|sO);`BI#Lme{G${Qlcu2mr17E_KMjm4RSQJ^~~!%b>O5^R! zc;QyAD`>S)U_27nV#0RmZ6x22UixcOy$pZAJW&Z$Pb)pmI zG;9jSUucE7i#On8oZKH=BH?2vt8}^xY&hL-<~Z2#n^OoTVVcQ1QyGUlRofgOKym{( zpHlTTI2}Q&AnQ0L!$+;LTqQpkL&m;;XmF`ZVb)4h3LvIcT9|&JYPF` z*;P|-j3Wg1G!)R-MIK!Z(jyL$nqphDzFc>xC{OMi@*aC9G)Z-VrsSLm@b4NWm zCGYFF24?f+j;Zc4E2YtNzp4kgPR|lXLMB$IXk0X|-Zy{nzEP9F#uk>BM?r9Mis?V>%{g2=l)hm@oku&r z+de4cOCkqeFz&buO^*GPuG)js{vywYkrImaE51Y}%7*O!tAE)IqN54}#CM(x0n*r= zsovffQ4XAd4imT8vGeJpT@{x??n-6rxU%1Xt25UMCH(61!&7RH>5x@Tbq75n%wtscI%-)iDA9!{Ub-JHT&N`dYV&G*OMHFQ(k) z`l4cL_&E4esi~XcQeB+{8ln6K(?%4nF(@SbdRI-$T7S1sayTJw{?oyB;`MUdU$6Sh zg@Zh6*`&Xp<`%GZk2L{F2*PIO%fBebTx?orij5Cw?PEk{d%gRUtFef{^%=BpiKtQP zkIS7I@$y}nYBXz}PDH+95M`HXjp3T_6}Dcq&DdTM-{DozLQ#oETqNH{UxDJtd*;FL z4Lw{r`Xymf@RO|mIWcHk3Y~Pwul=ef%Q|%bXu!s_>G5%Y@~oE@5a|6a9&tI^fuTX` zE_(M{>9F~L;6Yenpxoj!5W8$^OV7k|9zBVwt9&*4cTti{Luk)bBsE)*Dw~ovY15la zNO;hl9h69w9Y;)?)*>Yb*c_uBtr}aOIgSYwrC6uDEf6ZVT=eC^tugmvpp#zVY+M#~ zSq++N@P2dJ)CA*FX>YmhzwCFMF-xjf|H0?8S>E8)unA54IOQLqHe2aHU2IZQPF0=u z0xK>krex`p+U7I&#d0nb8?>2imJ}jxBNTnv;>E*bSOIcUlzl+OgW` zwGcT9o^EUm%&~XgNsE@x5>?t0hdlh)*4E7PM_kdSU)ZkdfAIAdP*H~Awy;eK2#A1` zf^>HbARt{5(j7w#Ax{k;FV=iK}M_dl+sYq^%h z!smV7_t|?tdt(#QTHGwuJ>wh*rvF}wr_s9@Bb|W$g8rU6L!%9dHX4(ljSM*>OltG7Gr9Iz32VXCnD;-%&XUtAJ0(@#Jt| z2DRZ7ujs@NfKN#BKxFNt+RG#8!gIg1uqt4D7f6Q32DHDx^<(JYb_**1T=q^Bn}DxZT@7mT2lj%1ZB+^=EL83p@0jnRPuw&qNj=CIV@aJ^{WcA z@mavRWKuj5PgWu?hu*M0*@2m%eZ66ac{QBt^^}N?6u_ls={um_9V?WD=T2b&GeCDM zt{P=_<XD9 zyWY0=0opvu&~qo#9yjU&CJB!nfzTfblZ}&gB8o{Gq!C&|B^yC9@%1r9tWW)7+cDVw zZh*5F%(tdh6PxOli_zD&%K(CWVT4sy!scNd4grL30EB8)Xu@L6_?7vM6pL;j6d8(j z8ep*T>~#Df3AW6UygxA9D5QoMw0RER{}+4$P6uA$fUrBwMXl+hev6CPi%cjD$}6jT zd3ofQ!CkyOq1%p7nbkj6FpV6OuhmR!w013lBZb1o7lzJ8NI+G=CG)zt!>-ilW7BurjJ#@Z5L-6T*Fl0JNLSB*`YY>4F`H z<%&P>J|}h>Qt^??Hm}aRL5GGi*~XWZMoaFs`m9A81)v;ZhZ`rMwVp4Nk`Ajk1kf43 zUV81)eN=g5CZsx^AC+_^3(=zIAgvhVFMb+7KW$r5Qp|y?p!H|p z)jC~O0*BHoSF9oiQsP%{UVDs4e$cu z?~)u{!E`1<7yu|Mxv*6#O@UjWg85rjl|zkm*1AT|e`5e8V#lC3AbGvimd`lnpf4G7 zAaV}F-{`gGO^H(|>Yqaf5bMUR0|8^6$ozJ|-iCkBS5r%GimL}9d%D}0$u}ed?9cuU z-fcWd&+zOM2F?`l(z8!&pWr9!Q+Ox*M`2pslkdY6G+ZBPTpzt&lB zvMx`?11J=wO%iVt_0ny4$s0R0qVrF5gRTiWAwlw_=fW{Xce@ec8#4?1B3}a`W$0FOr|@FO3)=`wjLWI`uh{4`nXV$ z|F04twxiCc7y0O(rd-yNiOi@-?eM8dDCqmsYI0Ms`8CpD2k@Y;3~3^X@ZLBOKPvT` zvhH>|a8^p5ET_Ozb_BmjXJ@Y|B0zw>-9yk4dlwUw!6lTYH|2nrf%R@v;0uga_-vzj zhTJ4}#scn#vqxLr2{_;FlG5Mx2wUe+kW6CPsSTIUY>(`A;lo7q^(*EP&JwM)wZ03W z=^Vp|{-TWj0n+1}H2M7r7v=;yFYSgq2E^2BUE@oZth+uTiA^K% z;Wdh3zf&)dVYYt-hxu3B_LEpdhUt#nbXq(Q4_x*qENkdRzQy<$j0e{6_095-VA$xEH;p z)w=r_xB`@3hnstt4z z-qWEk0(9MMEBu)L+nMLH=Hsh_CDm5`!R5vZ6M;P?e%qk28@18WAAsAYTE>VylRJZpi2m`sh6!5&R~C4r-p0Ga@(#?X}@N`Tg?Va_Le^3EEN(f96u)nX1suPd-<^yO<) zXJuID%)%){8C3yGgvoNsXJu@!JlO2pRR(&Kl;X$I}j8atwKNq=S-Pf<;;S^M~R<=g* zo=JLo_Rs2_^i9*((2u3eAN|aI-?Ba9^b|q=rk)^+7b#Tq`LoB`FZNoC()uGB&Y1=n z(;1|F=UU(rYrV)Q55!B$pE0lzKGwwnbL>6qK`L0e89 zx&;Y*igYO=1U0{FUS|jFb3)bqzEsF1cK9R$rr@|BzcR^FtUU_EZ#OMvhbiCmtqVr= z+ak2v;G}Ljw_6IB4KQ}ou4-oxPJ-w(Q2wsumwM`?KMqJ>{-Fo~nY3AcZ|so|7$s zhHlV&M-w5rg^;zm%X`D#Pb??5WdaHk;!f7q08Sxr1`XsAr`I`It{w&eJ{a%UTkp~P zvJRS4mkZZ6n(8)zTDXRDCi4US5YcBc)+p)W`ujt5v32^&*Cn=fbhygCdp;^bJaGp} z`QKp2SK$Hl?*Yu@r)yh;;KU~mO8$+d$FK4m)Rn)k2?Kt9tLy5%tXJ_F&hr7j)BNm0 z-*}6Hs;Y<{y@L)lnI02+#>7alVjvan|95KrKj`#jQrV6Luf-nUyM3-NAo|W;YmYQ> ze%lJ8sO`3x_$Xj2Y4$51D+I<5Oe6 zd2;gm3Y^MJZZ%yjgqnrl_=SFZHl5L0PmbJ6Z2uzCBetvT_p`)r55D?lLAyD>q)@fe z#9(>XBJ!bpfyhUzG%%AK9gqnlkLzk?W}9;IQqc8$`Tpt@@gz4Lu0OpL)Y`aY{JF6X zX-Cq7^oA#jNqOIzSA>@2v=Ql-zolK)*G*U2Zf|aYR0oek@p#vy4bFgl%AyKgQ$u)7 zqD7|MDe+}H!>7!~fagljcg6VuN5U5Vs&&^aW{8J~TJ=t!mp_YoY8y+m==X2BQ=aw+ zmcNw;_w8jYCv;*l*Sf7)9XT3QXTIZ{5xHh(;$F*z2^~E|0E8`oi{nSQw54o8c$u*c zWXi6Fq=u5E;_KHq(Hqug4n378)#|18;KfA+v_kXnCgN-l)c zZ`E|E+xfcNSBDC4BnyOH-LRu$AnnGVl@rkAH@^(&`|5%DMHj z@{ElB>`w99G>8xfb|VavZ$`v%oM+R-f;^t4oHb|?he}w=JpHL*t9gC=`8Ai%naKzE z2Qt|+35P!>OK!sGX1x04TqI^&_on%oaH0V;g=Ck-c{ZzDkA~yFyEDfPKk;_@oXe3mo>S68SstaUF)(^Vv4r4mT8$GI!u7vPd4er=3DxE@(Ogpq&s@40DiXl)xRPP#&X{~kkhW80s_Fc32AIaB5zIJ=C93k z8KO71GJvEhM_!|r?r7D-t)I#OnUmzF<3|}J3epCU<7VdZBTce&>KIk7atx39O2rGw z)GA=X5arYubI~n`&`}xVR`k&@`Jr^*^W`o>_N2Wj;LSNk znx^{G&8_)zLhIscx_RRnq6W}Qcg+0!kO7@)01OXJ;`o^c-H7DoK1h8sX~PK%yX;&( z7F|#a?2NCGX{Cpm-!vrg`_n-#CAagaI7U{@5 z7?xoPJ!ok00ix(`eUMyiAFK}!5>8S?PVBo5-$ny(svPGKJ|J4L&$@qyIN4mY!Rl^B zfvORqj%&)+%fFI z#X^;KC{Mqo^}aHHAOd+e75km~p++CJE#ucRIxhb1%0_co6GXAB@WFoTen5C?;BN{s zujAF^)@u#@GubS+J)zdlk+;zuavu7kSw$Ki^Woo)B6721lC1y`&&2`!-NR1u@qmlp z#)|?yb~bBB;wS#$=#K`>)y2BIJS-{#4$DpWLiY7Bzm~6w>-Ow6Yc{QKZNUAo)k9^gNW1#QHt<2?~tO#YDu9{_AV6~V|^p5E_%Zs3YIL6RH z_&K~)DB*RMVlQ9W;~&Z{LtNb-v@RST$+1NBvdXF%*v{<I zQnu%K%_|1r@9g5`$N^XTDXMUS{kyCXz`V#M$z@Oc>=2oK2l8UT0UU{HC_~KKo(QVu zOj;B!YzUz0Fr_bAHZ}B}nShE<(yBZ9Ieq;)@ak0ZRln*OT$3{YkHl8G8x=XXbk@O{ zm~9n)MRga;xV%V{c%(an`xy=0UzbW_mbnv?U%{stIzIZj3w?oj3=i_(K5tAODEh8l z{CucsxuRsL{JYTgwjuWC!z<4g_M`){{|@rPie(3s%6(h&a8rpYbnFkX zbH$e=iZiGNEJ(qLDJx10aQ*?CgPr%LT@v4Drgcu+@$^vSy*b@KBKU+%9EYeV`=F_VXmV`oVp{5-Ac5UQHV&w6pkn(0(A ztzVMU-T^6~l@k%E`nIm#7D>NT9}~UD8H7^28dTsar7zMc2HnX@E@VCc4a3MnwL9DM z!y1T@iQ*bt9iQ`4!<*kT{Ig)JmvWch8u1X%I=N0>6(%sfoRCk=bY4x8PDH2ueLKw2 zYZR)>IKGmC;oa%Tuo8Mz!Ax3ELX*?rPw#3*%?0f)rl6wf{`$mwWw`a$s%$enbSiB& zm8JFiH(^zP!>10PP#=NUxKRUk#Lv~6v5t)ri@t~`BmQlO;ZV}=&Op@;d?asXxt1;O zZes_yYHgnisT}Krtr`F#rjMcjB#CZWl)&7qwBeu$&_@GP#MXuEe#?HO%C2Oht=V%i zE^p${DWl^kwCj#QG7!vpmkq4s#P9qZmb`87pYuH7oQ*U3V`9Cw=t~HH5sVXJL5IV^ zz!P++Oeg;BUJfHsJ7W)gW?6~ni39$=aZ(AVW47mxNSowP=B%;eli8%|xNCpRoUKhY zpWA+_7zw%fm7kp)51`|Mr{aJ%&}o_B<#e=$kaQv=nBI@Jz!Z6!^QYm|{_}!oOcBy) zgJB}-R9Mq?(eVNtu86k07a?%~E@a0~(8 zlPQ-0i8na>l;^*GHM<;HNO*1+iQO1gvq$=$8V~RwGu!Fgnqs+?2ChQa4&T~fsbq@Q zstGxFXyLAs+jxKJd>eS{Bp^|q9vlC`$LOB(yxt}#Bsm6BHbEj?ZuvC18uyg_eX3v{ z$jgel99(hbcuv*r7y3-3)3=v4>+QvV-+#CO(mP!&J#t3uYiu6dxi zms7LX!wdW1OJ$eF`t#)5%IK5z&p0a{36bu9@@$nu?=86j^!8(7A?$8*wHGEC4%T9?;X+U_k`MaavRXpNEr=wQK z7Ur)4jVKe?9t}w!(3@dU{c2#|%uTEDvU}p!mr?s*)!;k_8cJ)-GV_A5wNj9J9C+`& z3foLU4Y=d8Y=&FM8(T!tG=xE8d{?mpiJ5O^8R&4?_0(GMMtoCEvwr8I6xT7zlqE|< zT6aO!l!e?vn}ndDep^eD)|~xU$;X!|0$M`WB-kW37S@24Q`eaO?NJjDj<9#}LAZ)oqD`DSYeTa{1OqMe~)*>`8^ zn65m+oa$V-W7W_Ry$3S3*pYv8uKBz54Mao9au!U5pcG>Cad6+$!{!>_5O111pT%7& z(qUGIXeYIqvW$l$uOq%G#*GR&KFKr|H}dOF955{>#9|k-Ejaj2#Fg~u`2SPC(ki&f zT9re{e4!3T;I_bEPw7ubOvNYtIG_kVqlMjp!qtgz|DfcafTykW_`$G%rFxL7L=W)u zW`0ByAYoD~{<@Z$A0lu(N|0aEGZW_0*%S0^d+>`i;0q*3MrNL%=`6=69G50n$=}~L zHV|@4<;xCE!P<}G?>F4wtpvR-NU-Zt=97(6qtZa(lcYhhe=bImQzELI*61G63-~m# z?urFI$z0F1lT{w~{KNsEuG&2Qr=U_Fp>9w*XyzcNuZoPAhT>&WN0K@}#CMNuSZ``7(FOX^##G%Pu4-8B{O z@2S%nIOb^@{TrZimUEiKIGhbf8Uw|<_tD>PJ%Ar`NR9|$Uj1{xxd<~2w?x^Z`d-rU zL`TM`E;syjPpZ&X@o-Ox8QSNF`B3FKXrJYGt&zl@k{W(Apu5~)X5JZ@6`788Ooi-u z{U*xNjn)>dwg+Bjt$xYx^OBL~Y6;9(a z5a~0t#=bVqrt5mvi_LBVB6G#~kH;ii6Upk)(+|YFUi6sIVBg+butw)QqS)uWaQX=( zGHkK~;=oi#Kc?@G7s%KY*dZa0u?#Ieia#i&3vxH{C~b@Eo$Y9|Xv5#H^%&R~)F9t6 zUG&-}7J2H;gdA&&g(Sn$7*sJ_vbxT+nf`CsQ7d}~w^|V}V&HSTC-24n{}yi3WRy+K z=eHaEbCs{~-_Jcto6BidiHGCjZSJwwJ%lD|jz&RF{6WJ}4fwx8SX!v}80$X+`}dlT z4k(`3??S)ze+qy{%eh4oz$u6Gm-oYppW+6gXmadk0d85NSjaAj)+Z=@;v2hGO`fT)N1>^dLckE)Pqgo`k7%C*6_xo>GX*~Wbm0ctKQ4byu1ZCO z8BtN)(|2cyV)WaBa#F)S$!Ga}Sz7QVWXkXy5L`J(+}{_8Orjd_1zZ&Rp88aF-#Mxi!$ z-VbeT=5vYGoeg?U!$CjBmwDBpW4I%0VH@^iDiy7PDJM6-67YZkr)UTXUtN&^{r2Dp z|4b-PD_VN7IoTQ)DX;>nX8aJr@Y}WrCz{);deO?PzGowc)!fRUHJ8CIw$Sk%&med1 zv!1A_GzThj@L-QrnufHqZfFA^yc+3c-;-9L^3YTo&S7%VQ>^dP-a&G@x#NQh*)n+Qfv6~3NF;uVB}YzP3hYHKHwboHyyY3}1z|3$4Nu}y4zn#$ z-Z3&fhesT$R06fo=349ZAXS@r$ZXGSFc*t-dYSzv4&@Gd-+n7z~@MqwS zZWwxi=YCxb0m(qAQnGWd`-mOi<3=7#wRc< z{^sqz#iCJxn~%0Cd!w?OvC5f~l+K&X{K|;L(*Caxg9m&)HP0Q~7^6yR%p%{@to6Wt zp4#fl?qG31*#EBmi8e?Nmy?n)^?F0N<^2fI4bG9!40r99R3Q7>rUA3(G@tR1jR(Ua zcLq`*q*Kiz&{Ml?Ir69QkNgSCdwErpzznT+8 z!Xtrw(`|=kK+nSVYg;e@8(e0bDi|U?J|4f%vex%5jU+HY+Dn@%zZl9*WzO>ZD@Art zhra`rc8phL>F)6;)=-S!AL2Ep1}E4rrzgD?TEaNiti4fGB29Jae)#Ld6k!yv*AZ`D zVxJ&wu{NvQAl6-4oA+=!IgR7UX7m>&*);Pgx%hL6(1G0sbR(30b*8mu%Is8}u+)Gt zW!k=!?Zrb;HrYn8eurJ!m80i7AE}eS`>~fCh=3Cuil6fmx(Idx5B`U!+Cl<{KVPu| z`8=Cb)~FYo!&*yugAUS&EHk(boa6E-Vl4TL9Lt@?iGVRIGm$uR{dFeLRW)A)Mx$TJ z4?EUfH$c;2jD^(vG<1@%+c44H{W;Oy=nCDj|1W?tWTRCtE382BTp_+>Nk8+ zM7zgpWEM96*Dh*2^neQ0>Ed9-1PrM9GdeVn`T~a%bhbe81t<<>{l)S}jLdQ-W8m38 zYdQjK(@qw%t!^yIxCs#wq3zB>-)p4hHm_STZ`Igll32&1gbbVyHzR6FmO$_1i_E6% zQ8Pp5V4g_kA#(B}O?Gc9=rX4wac)<&2edTOQGf4yj7!=GHp!E4NC^tm8!`D(!+_)s zi`oqCsw`u>HX#LhX{F~l9Yly=^aG2_a%&ZZBuj0LkloKO#~Y2pzfeGR!cg(m%cCD2G!65k` z`b^~q*i5G~hrMnj9UEYs;s#K=>I zvuW_kKI=erO%~&l!5i}g@d>iZgdKJ@vo}F#q46}ixQ|P4)$6THuVa)ZPK3d(Ew#qM=Dvzis?mt>>mx;`dB#2Dve?t>0uDCheF1~1^qL5UyuIUPS z$6LMfqG(U~ zJK$o7yXM%qT*F*)!eZ*!1vu6uc)|(zw zciJgE0~Unih~#kQJViF17nCmrVL7*))yh^ZYjHlu20DMr@h4S?(N@nl zKo&FZy>Kd*0jumeLx)W8-p}Xwjs`N$5V||0?thYpGH}jKkLRxbPW=I3Yb+$$HhIO2_5)#_Q7|)$}##e-P7U) zT)XxAipbhyMw#%>2O2Do-MtbzfI;f$ghA>@lj0T*HO({)e5ZCrv`HBH?zTq| zCh)L^vUuAgpxj45vUK`l@A?9~3vuS!ZIc9@lH=o7XK7>06zZrlAB@OoV9^d3M?djG zn8pf$2GYk98e(Kv@SzKFZ+?)+MnuS#_&eEOXZ3S3x6`tq-sSz5j{$;w5S3{Q` zyLHfqeJ7(acrnrIqP9pWF~M5M8f)kfZ~1fmw771Zxf9{NUCa?EyJ+0zuur$msen3? zsOcfjADn*x*B9}m9kuJSD*anj`F}xP7H2PzE?2(JF9hy=U5IszjV`IF!)=JZk{X=( zq6lN+|I@7)cF+Lrm8%P6j3O3QdfeCjNwcG1*%$uRA#!BtoTp4N?pZgBdBO-j$7B+r!IM^^n6;1B zI7}9XWI_QuZ1^z_eGj4F{Bj`g!-S^Sjhf2ZpuQ(t2;o^fl`@(--bhhYh8_hrm$vR> z0Vzz3SAU%j3`xU)Wm@M=)4DkSjTCU5#Vgw4?HIf-PA+0@0R`_|RBEQI)|Q!hB$8XV zPXZ5JntXjkc0MaZS68k8&EqF9DPK)N@M0-JBWn>())T0fNt%WNpXO5kS?hBnfwM`I zbZc{z8R~*r57t9D=9e6!>Cy=mAsgUZQo-KXs(>8RI{Q!Gwo(tg^pfvm{{;fm&^gqs zh+JHKwKTkdI+(0APDT`v>PrYVJ~taY9@bfV74k9@A*s4w1biGmN~v;gTx`1jo zCM#eY^HkZ;$cfcPGp<~TMzE+yaaC6q#v5{Y9TM-;{=jBX%^L=Wd1vA;(M zsmkc4j7Wky=Tv{;$4;?4_xo3$uMSZwuQA??B@?)$X;Y0U+)61tHuuW{)+X5(4?f}e zmew$SwG4ZLRY-~l+_N}l4RGUuiaK%84=kCn#UG#w?A;s*ho3tmefO!8*UN;T4ZB?o z6qLR>EPfOuzwG-cOUUVOVSFsVpj0mzsut(L3k05(QoJ=q35Ry3dv z`_2}jU+42iUBaDKJkz>SR0*Cq@)F|lGSJBK3h{-6PojpR2R~+NMp$nxpO33!DMq}G zJ#y9!?RH&+K5jBy8icQiPWr@;`t(+35j2Xix$EFU$+-wOVHA%6-vd%WD$yVqvt}0C zG(6Q{Zon~^jH5P}@F4s2?VmhM}eU}5#^NiI0P?P{ItLWw*V zJQN}u`J(_!>CH#uxuR9NPYrIWg$M%ydPp*-fRs3_y;k+(FlHcS29z=V<+a4Pt(okz z$oPH!0g!=SmgjJ7?if>g40#MuF4DAmg%hI`azKsge`D!jUs`vri67 z{!qUSl~T~(_Zx|fcPDSU_Lcs#CTrHQYKVJ*V9x*G31-})?$~YmO`A!%Xn|AatXs+M z05RIMF=8BuN~41O?mrF#p)lSkU&(ge+qLW>0>{@MBIZ6O4k>+YEyZ282(lm|0w6mQ z{aac(=RVDRyTx}&SnFvTDhL|ayS!oIb0@Jbn{oR?%XvzSq@kt2Z}}oQ91UKjno)*B zP#imbj8-ngn;0Nkz;YwODQQi0ZoVI{@W zqx9_SPYhaA9`lNixOlni>1`2T^S+?7pi$fHPsj!Z_Pk;3NQ{vmkZugwLDf9W1==P} zrCoW%sS=g@IS*=*)n1>h#b2voGh+JVpNg{OQrf#uSNjc-_Vhq94R4K5ep%C)(?=Dp zs=y89l>#_)?94-~aJF&jC{VOE+A)=4)K$&AwUbju%=<0!|5~0=2Ol z)^>ATH9D4-r5K_`JCqf zYCz9um?Ok?Ck8129Op@T;9#ZuWZ_f+q`<9_eN-3d^3*PEbU`0pP~|XpgewvH<9W}^ zmwb3ou`I!kRtBvuyD0+nMEbLrPvi=xWI)6G#?iESC`v69?x||;vzkslhb%=-%7+JgRJsV(=0H>u>>#; zYXnJmjyx^$<>F-wdf|%Mq0;=u9=zA~$zmC;>JHvT*Y*^otx@7hhh6k83}s2MQgb14 z*syW0FHHTS)cyWGbl9Zj&1pW}G~gSX1TO1oP~cFAMkeEkKK8ZWJFwhXaiNf)3-YY> z_hP`-E*JY^Cme%Jz@v`iX)TfA^22B~z!lV#W`h$^PXvd{)qTch_ppIk2CJP$ES&v{R2QOOtU% zr?{j2UWtig&y?J=zo%(!JDc26b(+8V*J?g{mqI$B2(DpBI7Zu8%onT=QmS}s1AEs%^d7tCads{CWX)%P#VJZdyH1g4 z?%X-sf9);?Z*kq=?0cYO))3OEw$oeGG!G{tRZ>+fIk&7h*pkph1zwG_*3B|07ytBz z9^kN|yN|*-co0_5(Ih$bdS@7a>J&o}&I^HGU%=#+4flbeHoNmI`_97}MYjG~y@8zQ z9L!%tabveKgCbZ1@K+bnDb^&|_M7a7wT@LEMOE-^2B|EWkz zRm((odTOOvM=Wzk4Sy4wb&)!xHnwPz^;BkabD4I>L*i^i#?N&{dXe8(@UidJ!?@O+ zhkBS4$lksUnD(%dGmD)n7$&dq%qJoNKOLm_lSDFpK;Zh}*OH;jVZp*GJP_s5SzmgX) zOp+Zv6LC3ppt=67UI;W{1XvoX@km_U(p+koFV>hdcxQ~A^c;B`FfRZRp05?L**C(C zsalBT=vw@*C*Q`E#2}dD|13j`{$ZE=R|o6;fIh^x7s@Rm;FjwEnG$dpge}0(JT?nc%Ez>u~>>b$Sem@<%t36xTNJFPc>X^R~uGwAy+D5kj_Q=nZ3u_P{i&p=--0|KTIjP)~4y?pn1 z(9oXApHsj;{t_3$t+tgZ7^&~(wJSWMWFr)LDw&`P$$~GZ-%HWY4&R9heWGgX7J2yN zaqEGm=6yRjU?g!vrUF>@w<(Z^QMq*%kw(IdT}>c}B3=256LsgjvLoLZOPifp!yLKeyX71ug5IF*y7g z*HEzcAjfC#8o7VCmO_ox-TUXwuah&cC<(+*t*WQq)lkMR1&G}qa;x9$w7Fg;u&8j6 zZh9Ik#RR9f71*}xM1&UWy7dhQ4$&j2!^L@}?FK11_x7yi)Cs4v{9Juof(|gFb*;}o z$&nv-4EsG{rX8X%(KR)WZnGFVYz3-t=Q2Yi78!?+ z)D`);MBq`6&?;-U&-D6EthgLPC)j7<5$5tz#c=WbS#9V8VSRcn?1oIiBf$xuPfJ}nZn{m=e$2q8k{jM}Qy8+qSXm9RMYQ3Ic~{hQ;{aSUrni5{2gfA@O>oke$840cD@q!EZConlK*#EbpKxL>KEKDT3-Umz)Q2=#fx#hfoi?b2K> z8(!?ix%paof6JbCC22c9ddi+6p14@b3jl`gXU9iPYE8yY*L&JK87jn`+~E2-vyauk zTf=DwgTkpQWTx#uFnzD|z0jjOrNWj=;%F@gdi8 z4$*$88Yce|KW1VE#NRh!`w+#(>p!FtBYEOL(({sfy@>YqTe!p>6fBfZwKypYKv64= z=NDJnJ0ktn@FLQqWxA?^mgG$VDf6q6T|yD1*XXIb=q*>veHAVKr`^efZ( z(al+Wg3|oQC4YyR@*sykQb9wqzo$-K!dwr4I4OEA;cr-s31_;2*GOP0ya>DvFOxjH z_Y_trNNGv$(9}3U86k_Q&$6Ms0mT-+U%uIyst{DvBMNIi{`7D&?tPYbYTSR&;4^tA zr>DHa!r1M=FDowj|1~HRNjrpdNFuj(cG7p>d^Kk8=MBIVXOFkJh*L`~eiI6CXQ~di z0oE*jmMq{;+y4MWLrK=4x?}wSDDrF;U@w#atnt+k0BbzqaMs|<;UL+D)J?(GLtY#MmzbMw*|C52o2`e}wY)fMA z&o#n7J}QFRj?P|+*h;=w>v_Zk1a=nyZ9L8@@UX&!8C9!aKiq0`5mtA&lzk;6=%6RH zoccEFpb^N=UK56<=Z5Yyexku!*C#98d5?X4>c&mK1D?%IU<&jS>Q@&|1>iX~v9g*e z{HG2ZwX}=vEnW))14Roedpo%WRniTcYiRm}1;?nr6QWB?3~wT|w#^56f;8qeh58A^ zdwVFXsAj@C5`d|>mw@tat9ba`kMEnb+xuO-$7I@y;BMT&Sjai>%E{FJ8^9UnTI3^ znZfkMY!j_1Chaqaug8~0tv{sBjVl%j{G8%@#fPH7!%00AopeG*8md}pjM11k*qJ4; zYf&{gJPSgPqCS}CCkct#N9*8*I!eo56wZAmft&!KMACOSn7!1|5P&aT;7mxdjQ}~fOJn3K$g)L51@@LOB*gEoikCr3lt70@Jg4c(4jY-1dGU@sd8Ae84Vt=VtW2 za`IcUx@DNlLOfz*@j$={dEZ!_v5OaO{MqmTQd~ZT?EPf-Z9|x9pTZOZ|mwCmGL!c=T4s;v6I|$d>pEUu(P80 zrPz7NZ1Ev!)NS4+!=?MV`#|>a?hB$G)D-69BAdzmx1`8jE!OWB5|Yrr8Ug2rzpOO6 zs)i+$=O+cGGNwoG!-$itEAnUm%mowp{6@<-+b}tcVpP-?>z`4FT_5}+)Iv=Dm?QNbp5OS-rSi8qB!zmo%apS#@FO$|4HA>ofAS5HSq}v`?2c( z>lx70!0`~;($W&&!oY*$fZ|0sKsQS$n7R}roE|$FJcagE&%%^)cxB1EyA-8sp79zL zlMt5Wxef7;$Gq@>_(2r0>N79NSf@juPqD!j?&D#60+2k{%N97Pu=a3 zaz?wp;@s)gT0aQY+hZ)}cYa?iAS1V<3W#a}i|Rh>GCz(5aq+;9!@rnUvv2n;wUuQ1 zy6-KW9eaZCm;#$QqMaG|*ZeI%f<%2i7t!T0YyXmJDx3x>vwW`ua35#4d#V25puLzg zD6`gw=Qu{53M{#?JpX(;H_l+Wu-3+?s2L-1kwHz<*IyZBdULI|->?R5?3V!KJt@FB z)rGy|F>OPqc{W!}$*GL+5$5%{D3QV@(s_W_YVYm?8>5dGYACd$i*YiEns_i2?`-8L zJPC|;Z;ey4OWUGz~M|W=yH7+r{S{j~_&ZR-anCT{FS0S|w; z+AV?pfh$G`2eBo4r1j!&ZkUw#cbMEEJFL}5kaj37tnS-qo7*_ue?X$@dtKf{L_~l8 z``Hzp7`#SKu2B!kT5dkpPyQN)N&ae(OBu^fpXt!aU@xmJIw(}BR;Sd)YyDO=E$mCl z%nw9-Cb^9|Hv1`WwbIy8W(3L^E*yhoI7}^ygg)!8u=jOP1U*H~jFkdGAlj+QqeJbL zWIvQG>4av;LeY$tkyz=$o7#cTQzRHq5v*3DO3bAz>Stx=>@-1%U`TU2w~-xttr791^i_yA?>h{RL_EsK|JxEC9)CIqiN| z;`nt4pqaEf;J%EB*IBcF5qVozLjcw7&&U)(+uK|jz8xA;av-P<{qjBT6@m5Ho~~@@ zx6R+)`PImhi6pI^#M;!hzeGj(K7VUg>x9AcaV*v`p2n(GY|oi}crmzDn4#G)T%j;t zTw?{*LWpOy?TxaOt_I6iLPHLjBhuMaR%BeF=hdib8cN)l>lJH2!}lq$zR1ldPvaspe{><~_sCKy`p=zmi5=?6IrSg-so* zc1~(LMQH-#%`2o&B{K=WdWKXE>N(W!wXF;-iHgQYhvPfg%>$UIhElqo7j@^u2>VvG z>dP8e6O9tT?ar7M?BjB(m->;$3SUH4!$N)b+fEoKL`|!DrO4&d$!rik=r`G7sLEuy z07)1ju})yr&UKHrwcUwA=Hi|tlz|Gh9sXz}aasHcB!@X{uNCpC)OSDpX1of=P>QHi zAvW%M6V<;lGm&*1x4&Oy)f?Mun)okg^FZbd!<-rfjpO4)o(pn<=8{O!>}2+Qdd`P# z@}Q_MA_)~q71Wfe%Ty`)em=rRhv!l}sqDA*u6-F}WJl$iKi^WfS2L8=&tYn7;6yA{ zP=QUP5`yuhZGKA?{VPVi_uOD4&$O}c(3U?Y%)83hj#||LLiSWjG7ojlw^X#vE7y$W ztEx6tb?WfggWH>Gb`X~%Z51jwk1~FynuO0>-Oj&1K8OAr2s2L^DdAZj3|Xg1h}KUh zh8z^Phg2#bcisIY_V9I>%Y3LR?%NqHy;Tvh}B0ug^wU8_?(!Xkawu{O{?d z!+77U&NuPB*{D_k`&<-S*Fm0ds(Jf7+6lM=`#Nh2e*wm6UHivZAYpMs&DZ6waEh|D z-Zykm3=6A240YL_Er<0rr|2Y)qm*6rQUD3N=$bJx(sPHit%9>*ydfoz$1V2yw==^0 zEH~qklD^N6?Tkh^%#IKw|E4H}zWGm-OYV$grSn*o^ww{pt9p!ApRKC(!yneAGO1q| zB8)INz)?bZ$WtjgWS$bsV`j49XwBaSM#dl8g0EnLvp@2JfIKNKFi_CJ8(0*#;-0h} zTGyIEl*rtCg5db^Bz#b-dr7>Y%k$@JTh!=Ce3aWjp8&gQ{Rf@$mPFx1zUf5-Aa|*) ztY3Z(`g%EhA#7?T#@>Ktnwii{*+@4d30%FNfb`dogATemo}uFmD8W)+l_LKr-~O3k=3%=_%84KI z!nvO@`D{||YNYhkWF0ioHlqy^wQ*S!XuY0|Qt0lZA7W>|0EBJ)d#Yk{x6! z&8FzeA?+{y>~T)xQIBO0c9W;$faWC6{bXPirT94jDLZUe@}86>$Oc~DjCPQ{PaS%U zDwKP0L&W#!CtA>u%q^p0)@1bn#I)j@d^M$|Mms&1whYg=fP%^B^jD(g`zkf9Qn5)W zv~%`x(9F;ceVTId!>cpfTpIx$aQjJ79ol=HAeG)EBKmC;m(31n?0=%WevcN38yOJy9z#fOK2dhNQQ8A{|ZR?oo=14$oAUmmkQs zilTK;wLsNw(IJNUPzAurf!TGVR`u9!P_;Rj9!QjkCT1150tO71s;<(iklN3?>^2TUb>O0V>i9!F1Q7!zRa=I=v^{o2N1U zk#A1b{Wql0R#^ADzJIpDxYDKernqaJ7MBxAR#JBQdn)N2U`%qYG&_<%45<`J$}qEy zUV%pLfm5|1Ag$6xV&W%9{LVT<+lKB3s!NqGrf(%^&pl$!!iX~k_VL)|>l4z@n`pZuEh;iLTC`l9fkaD=`qI}gqItA2~WE|)+wh9IFAb0+AxjK|Csl9!+d{zF zfy7R1Zo9;wiqlWoLT_XNqsjKRU4iFOYQYDw$#2n7s}pwD!1P3s#4Yuw0pCv``gInoridBY%u?U#qot9~JC3sNR?_CHE#+6YqQxYmIUV zz><|1w1jt@23A5G!af*wJW!YIgeog16yz3%eN)|EjzRlgBWCvht~&LSjQg@|Lab5| zUGm9GwX{!8D5Fc;Q`ekRfVU%qxqK<*@Q4lM|3 zO~!EfTF?te=?dGoq1Y!Z1tEj(CgE>1wRwk;8E)-4DZkuTy(Jb0c0PM}wS5xdP#*9! zBM8Yg?Qw#7)%=AfmrkP;&}4Cg+qF8|z{xJ@rI9ME!lRy^DqxyR4^Y3W%ggibjA7!q zQ8Mw3N?Mj1zitk2&#g4i{qf!!h>O|zLDc3H_9sVtUX`%L4`??Yi4mak+Uw zNd20JO-Ay3h>0C~7aKqKQ_}nNh_XO)rJ%f6t;nh~chTbhte=lFi)*#I0DnI<{$6_2 zvcxFE?I5-qX^*tl-xzn}q+En##O|n0gKgW%Vp8=fitvj;6x_4%28y$=Wne z8i?zrI!1$Zx5||Tb@HvUNujJYG5KK484t{X`fGnicLn9<`rA!QYD`zZZ@YRSdS#^} z?n&lE#N%6<{~HhgTtZ~Y&24{qRt#>_zqf3jf{sA1k^SWP(e4UpRx2Xx0VEe%>`8hl z=IwH=lJ1LZ1_fHYM7K1wV!o5o4<9fd%bc=>#Y?h`JG=QVGwv0l>okF|x5 zL?fv{eaaU3SyX=9i6y5gxBF2c)6YJqD8{0ca^fc(>R_m4p8oX(RwurYe?GRqyoaK; z{Cz(lSxX-XnEH)L>DPIQAOkSPqhFqlml^~OGnA?~r46UH7LD{mJv{d|8^u~e8g`Z{ z);=ZC^o*zo{%E5|yMK-+r8dI6z)CY&*C_@K&q$Tl*vF}=>zL)zYf)H+>)5FEN$3=L zxPB`}f3K^GN1x7%8j^@n_4Ff4)ZPi`6j=XsQyaVmz0B(=A=wL9t{;pnX4Zn{mmPFTjLZ4T}YA8$ekUO0aly3ysqK zP6-_HQnegS?u$@ za0qsyOMPyt6lUM=P_vMrGTUesa=|+?@{_3Zf@O49g^3Av`Pn;}jDJSJPW|_1`V#JP z{r|2G>-RJ{*r}+Jb$CmfwSmXJ#sdRUP;&Q$yw*T}t942r_faJqh5~{b_+~9;%?)gJ z?TVhKZjqkqZ+;nzRx%AQsHT6GW?jI{4*-Ah+mSbbqV-Ht&BQbpq-WCIp}LeC|5lnE zG=mNLvy1zBTHVTAg90{#jW-<)_nF*j_$Jpay_mvIl9)SVPm%=P$BjcnFCQGY5voYY zbCh*1B@U*ckGx(T9dXlyL;T*C`rK2Fb?vGngh8COd2rfSq?zDCZ>0MpZ`MG1ZutIS zx%rE9VJ!8wTS3EdI8t*)Vq~O0);i1$UMkl)W2b0#cUyo3u#Rs|GnlQ;HHvCTeM&*c zIL$SXKbSo$8)I!8eg4!Pvqy^0t@Zz2N!#{AX2)Ahr!Lo@!cHT~UcLc5Go4qGzt_3J z3>+&e4wT9img+;qzI4SvG%2q3od@k zet>#do^MD|G^PO5IsS;0ADy3n*7rGYM2#18{HTC9LPm0s4BjY7!BUb!+tc(vUe|Sa z##nA<*u1E$o3{q)N)40RNKKUJ#^IW6QB35fRq5qY%39?M_M{1Y6IW33=T$f=XH3_b z80LeDb+>Y@`?)2DtXQM3O9lUP4@&Fml7@yf6qS_D+y9q)H|;djoMKoy-rBs#ZycUP zjM%B)4Zqv4pVanzaU@1q05}?KZW_~~gv^=ZuJ?m{5bc!vbE5WjrbXvm1+mnFXZPL@&mw>{h=GJ zdHPG#p4t3>p6OtTZ-nWO3aRL>^Tf>ZsRaW@0$!+b!GUxUGQ^Je@4&mIV7(GYtAh?- z%8z8r<=Z`8PhON5JXtpHfet<%jw!T!W@9#rR#9zLaXpNB|f3u;@bBW!)=jbNIOVqxQM%!l0@0DpU z?(&;G_#Ut}qbf$OJ-+Pa%&e|puEF%ypbzGPol0EJ6BSAhdUHA*3I*U`@a7`}qI9(| zRXpAICu_xV-pJ<3^I_aUzN<+RXsOfyfa(zXl<{`P;JfyH&ge(upLQrmmVAZJOZHb* zI5NU(xS-FXYs8!db$x%iqZzbJ$~=Ug8R~gU0Hg2IcA`U^l5FRnkCZc~HRW5~Y%$5T z%>vMlW?k-b{ot3A(53TzwTJ30LjkMfZk@jx;sUtk*RBh_Huzua*jgG)L!O>CEN40p zV!Zzg#!tTN?09>L?5sYyp`Z8&9bd%cI{Uz`-zIPTxli?*VNMTQ6b(&*Z?8Kul+zL8 z$M>y0ch;}IEH13P2e#txk$~kL@pJa++^7Tg~z#3!e zo)HFVZ!p_HehHmx%=-gnVs2>0)y-zSZ$|h&^$gMcSq7X?!wyY#+tQ$znUrKC@pE&n z%>bYm%$I-OGqz+_>Q+;lb#dyRr9F#{V<;tn7FsB=^TO5*B7)*X4S zk{nZ1I<5e+?6@P7m3VL*q9t7~{S{4zSM-A!6NyZCJiR-ryylfKdpK2W_u7NlyoZN+ zv8hPo0=1@W>!8&spJ*wZ><<=&mQsOCUo*Ra^GyD~=h9(YH{)8a@v8#<)JD2Q`d4(| zF}&Dp@O>uymwMW4QQ`AJ20-z-Ogt!V^qp#y2F$oIo8@f>->g{QUYCme=ZU)mM8Lg;37lZKxA>L*qv0ZzSto0thKI=N=V-#sf#Zv>+A8TJ6%cWRdOWIj1S8_ z1!J5by$pRYhEZv>0QeKFCnM|ZNTlHhfe~Z{{CDoMM6b|&jct&2Os6h~w ziZF_mEi;-OGPU9N5G!A(SFj~Nkkb!r^WSYW_>|E3P_4 zP(lk^Pm$erp>u3G-H}6Sp4RJ|;zhoo*uEqTKc74}ji#sx$1Y2f7c#xPQfK0Kk5y`g zeaUI+VvHO)LY9nC^nT3?d0#ijo=H&#YD_Y}S>T}+zsWmh8w5;@_OG&!-_Iz}uIc5X z3g`f3Cj0->aiG4w82dt!#PMN&o95!Bvcswv*L_WAu0icTgCC+_o=1AB^=D}38H6h8 zTxs?n{bD^e6yNEd;q^%kOyDNPYp>bGLfJq82mk?2&h!Lsn*nsvH8#qf!o;HS)TiOV z)PmVT+}&`$W8$5A-pf4Q*MrGnOz!2|ONrmqx-zVxHc^}0RGjwt1k4L@}8Z<)h%=OBqi^^T`!8gtH zFGC{G$7{M@p`}DxhjgRRyRkPfxX;ut`8w5%^H|IK>H{Hi=Cbx~fQ{zLQis{E@C$qm z+t&^P@23_>`w&`=w+ripEmg!?OsoNj?V+pUQmhmWticMl^Zb~^8FMWE-mhy%ZYhFk@VguJ(;Y2{ob+?k0HX$OdvMC&3QA672QqKBDh`g-H5o5sZO+6pH|R3-eahGA|; zBDWoATpf)(WkI!*QaTw?C?MYh83L(-S=V(x_U4bX?lyV$0zlT-Bw5BgZ{ zqZkMdJ)^vkTROlB1Gq`-DRw_@0d^0Rx@FkHY-tVYrQqI~9_GIPk)eugGvF8sLi8)) zf|)Bt)I{mchvfI|M{e1b38U|pq5zk$p8qcEsdyQj^6S8ap{|qW2>nLeJ;WuB#>kYfx_2p@F9BDCr=I}pS0LP=Ch&tTE1ub% z2GT=88rPEVWa#i`k3mwEo0dq$m%GnvpdPH*_(05k|87*D+I6Ac0a+lMekI(=@2P>C zbBx;{Za#`~nJd^ZMNFv&MczGjh$&DP27}6jG8B184Z|9UAUgDhL6`}jOofVBVTTvA za`-LK-#5$6_j0i;o|>IThPW4ujA`XmY3E({p<=jcWd0;0EADxAJPRWp6-ft>Luv88 zKYKw?&-M^7$>hrL8n<$p)1bU~>G;$0x9aZT)4!;~eh2Fr3ckU6T9-mPU zo?M0+?PhuuL{gFVH!X1j!|d^+8!b7#tzdFH*scFwoh$f94JY*X!)%VUFZJF1sf0>e z9!ODeaoMoqS6#a-jb47MYW6;49+%eoi0Od4^hrt&g*1e0Ui{HA)-usLWvfCZu7SM5 zveQR7_J$&fIrYdDHpSK3JNpKGlS$1CT-;T=udUB9)g0gS$?TU4Jnkx)7Jm#l-kT>C z_f1)Q-?Rt-P@RjwH;j= zcVX$t5m^QUWrv#6!#?Tq#IaUc@Ul}EG1ekwPKva&(qUYIc(U;_BShbr!^&ssvrJk- z%@a+Ane>`DvPmI!i0XVcb+H@BdMQ)2YR+W+&J1_lR6yhsa~*Z#(!h;l0Y|vXia;cB zoQ$d8Uzb8<4_VC4O;|3cW9)>ShPuR+54ZSPxR z*lWew>I1N#ZJhAX^R0Lu8^_Ys`8*yai2i-e3h~K)DvPjx_*0m{45_5`b?4Bqu=73# zb7B9d`?X-yEjOJ$y-NIiveNntIbq~U>|^ry{qgvyu~Ar z=WC2OjiCZH5L63Cl3?Q3c}9MI87M}-y5>&1COlWc1fP2yL}58q;#)HPH5?G7i+)o@ zGMb=BjcXJhU?vhnmK&%^!^>3ObE{ktBi~MwY6}~u!85;vmMyE}5_4*7MnY?#UligC zhI;m8m{2_xJw3&S`gTx5b9sl-(B{#|<5CfM2J_BXBJ!CRtX{O4%WkKS&Mf-S$A4%i z1jMDYpQ(?$=<9a{p}A7PUPk>3)c%DbeS%Q-LwGINilNhr}pL*bXTKO^-UoQ3g2X@a*Sk&?@Xnv)lOh04c1EZ4JS z$mnq4H@|Iws(wh$WQL83OwdJ-#G zh(Z35B!9CSOXCmZw86?MmL_s?ho=M~+n+ZY{k&tIe>fYvoL{tfy&PS08bu*xf6egj z2wjp*p0ecl+V~l27Ox9>uQom4MU=k7e_^(faLNxDgWxqa(dYdzOUuAHjHM*~9e+xBms1CK3{wH0-AF=^Icrkl^&>G&rUY@uH~MR#L9 zG*}Nct?e=SeAk-5&B$bqR6<_8DtrP-s~9RBSAh>AWFSJ;aRu~a%`#tS@zl~3Q*X42 zPpS@EhNs+0_w*Gqhq z*c$)Cm#z5e4UK{XM9Oj1FgwmWIRN>~p!G z6Gk3dqVP+s@Lr>7&g#<@f8$c%-t*MDJLOJz9PaZ^`>G|3ZxftuW*OYyZx$cP_#4t8 z>h*K5HZY$m&FIx3Rj~(JY^qcWqX&&pmuiQovO%Fo1=MYR793=@>cV*2NqrjM&w>=8 z5Bvy1rP~#4^lmd(#ejgJ0v0Ti7AmnbOeX$&)6yGN(81j6#xx|kA%Et6vfjF*RL~-% zas`xUm5+rV#j{671D<(NRW|J1nW815`CzDec@k0e%mxjg+NxBWLy0Ct5B17=+z$RH z6-hZt%q+}>u_oTn^qEYPaOb2o@%U-Qukbe&)XoolUYy2>q0$w=dJpU5zOgp1omfH2MrsvBlt)f$+3A8P#l56x|4gZY$GrP+CQ=J!IIO-qf|Sb7`EfE z-mt0*eASc%H{E~@2dD6$CFf{f{19r3TKUW4*m!P@A~Cj{hg)Cjj2~^pPv>rJ>{kE= z+)n*M_+90=U{?R-RY2H17Xi`fcDsLjb4vykmR}*L>XOAbWzfNQRaf(=4GMgmPtILJ z=4$hT^?#+CIf}~|?R(Y3R>`+AwQV4v^bXdNFQu>Wbq%gb3v=t20g~mt$}5PKf-$QAhe!WM~?FG&@Z|b>S_0a6&sAbVzP@%-otCy-{Oz?>0eLcB~wzanH#Sb zlUtWqThCEVaj#IwurEYOA=bM4Y}VSX+*h4a<%3NtTZ+9~=HC&696`cSX#9g#+#$^R zqz}$R8+t{W0$EexBwRaQ>j**hc&n?<96U)_754$zfB!c(?Qd+^k4OvWmeYubZUdC? z3`u*xl}1s(Krfob_&GOiAu2mWm14s(dkp7?p(1Z8#j|H3Ka0s%I_|URHE|$z8Wv(q zznOUd>MIySoTCAXIu4$Ed5g~XW%i`qLfQNYJi}@q^K2+mwK{_|%W{fyA2!Td8tKk_ zSM)0>9Zpr_5pq)GwdDmH_j07UrvTPsLb&o^`RP#Gu_sgD?so4?s!89T^pNz%oim|? zG=722rn-9dItS05;&;22Uc1s>*BW!h`*>3+4@qm^&L8Q8T3;qz zdT+-Ce3!p+{-5~=2f4(;bw`vU&rZh=e%N9E{{c7X3U!Os=?t1YR!(*Ye*r@-p+Q%D&R; zrw{kFjt<$xxv?o&N96%`cRhw1A#gKNQCq`4aP_2chm zuovafb8z2^yx|@w!p4woKeS^)i*{H4t+j#+tV<=MLO~@Zqx+Pu#l<`$2jF!4;>+<6 zJvH1M>FtZR{+^;I{r>Z3{xuP~9qcpyhXRG5kdVBd9@2_m{qIn8UH)9#(OCK8k?MfM zdQ9{gHGMjL^;NpZQNu)Szh2uWy-Chh724@j4eJLJ;4 zcFz9uTA8RHniaDcNpk0z54J|70*v+1^k!3}3lh;$z+4@qg5O{mPl;pSjS2k)+b?Bm zJcjl$H{q)KuB{@sSF_N{U`nYd4)3TPbkl!*>63_I+E$4{@q36mD!bYy{^f5ixS-{D zx=ACBxnoC~uXUI70(!YWi*U6oS422gRKy&}uBm+ZYAtaJ02DcMru9s_Y=D+iYXC+V z7bg;<`u0^8J6fRqUm@S)$5@^*a`0%yKXC}%rO;bpEfR*U+~!9Kup}ooR}D2K!) zqXhC;LW4j0l6QXh=gGek{(z<0A!LhMg(nvJt-|T+{qq_&by?*CDxXE}yomasXrqbC zCcXWycFz<8&JvKyS#LWt>C*NZM<|gk8B$iz~B+Ou;wx=iF`GQlGaRJGR=JGEDH^v{SXuKaQ!X zdfpZk(N8h}`ikO1naGqjgf=Kh)^a>I^g)5Teu-8Gl5j9@OGtSYkgS$s895){E>`Nu zsb5$mA`iL^8$dTKv((v?0iuDhEvSLRL#LT38*_OJULEWwGwS@OtG9up+55`+wK13U zHK*jKz;ERHoYMTI^Fg^?>?wDY2lN-%2On2ng^T)KJCv9NfkaL(F`>G=uC#efKnJi| zfHHwbk=hT}{NwX=i;cgXi7Sx$t^N{OgyUsY(niBF%m2~ga@Jm5P*%vCFpXY)Iq^}7 z(_ZSSE}DNWwCQ-cAp$BxCgxaq~Y1K zexO5x<_bl*CWpZSxR|E{nB0!-o2(GA;x=HM#7#>|O(blCthmS2bhF2SV;hAF8w>ds!OR4|9cdwY zEgFEL9R1Y!?S=ZAAh&{q$#M}ms{xXb;xg7JoLhN-dyzXE;2)wEOAzC}*c0;fwR_1P ziC6*f?8Zw?fNWV*F<(S~$gm>Qi4ic_cBxXYb3I;g8!EF)xUu5rgotDXd^qYDG^Sdq0=~L6w1P5pZdu z&u6MQwj!6=p6CrUG!;VbiLVF8)vrA(x2>K5pnR$u;ELG;dqAO zz12aJ3Gfw$)wGoHT6X3479-Wj$Zb5SB_Njpn~0%V1YtWaF5q`l$gL~&OGL2u+LEk? zj#KP1$PUlx<6|i1g~+FbJN;05Sy_oQ$35`*baLAhE3QU;06_87)f5T8_5XK#|BsS1 z;Q-Djm`A7J2O3S0d_Pm06qSfp_*ajXtQI48DjpORgzfK7;!i?2c02c1LR1z>BPgVU z(Z}-|BeAp#Y-aZu`)ey4)kf0C52l>LenHx69gX2V?j~T63+yp$;x`XYSb(4VjOw!#Pr3G3&`U`C5ff(krh_^N-xYUK;UTR;Ln+iv{$UK z$Es)#Ll_ymNG58n4acREK>H3$!2&9PPd3kf z2{^tnOC!IzGsnM$jQHN-XLGtl8#hp0`-mj!dpcPZcL60QAeiiNFMifbm!1r3HsYaC zJsv}!5)IlsOa~JfTLYi7T&REOpp>g+7`HU{LqHJEq)0NTD`hI2Gk&FLJPn!?&lV%) zTS)=9Bb@(~ufzuc(!(1Ca?C{+JRBJYw~?#bm&ZVNNr_ELI~-7bYDm`6*mQ|r3W zSpg*&+gKk-kyV%LjHg8U>z7hggKmQl?aETNfPp zqLiMVWuZ2$O%?b*XATMFTfAOPb^8?Ul%gx!e_UdJN5{&*#t=Om2>@Iucv%lOs#72{ zgipPJ3|`#e*yi$de5Rkl)RerlBmjj;VT{2T-r>zGji_d+Ww=?tUiHrR=qM43^1nh-!!uEf&&|=u` zX6f1|8fy4WYJvUws_R_ZWkot5vK6}n+yVsD-pvCS(VZuziUm-WHzCu`ePsSI(Jw#p zOlPRA@b0uv%gry#9r2BQ%x13CC>04JN;^FDZtcA%<{vk+P70{>yx%SWRTc`T%k~n* zre9SdV47|PNcMX+1G^GC5(i(|xbQp^bD+Gv$(7mpHejDk@X?2R5Cb4PiLDDE73#U;GWLtzz(m0fq9gub|d&rKP(uK4V&qSX-bD+eJr z%+o&rwSdpLWS971&JT5u=*sCAu|7bD{wnSTTPH38>sBX!rJ~7|%kTXEu$i^TN=$AS z0|ElBUcGwG6=~v4`H1qtbv4}Ze-15iy^Rnk>NGXl>OZW^r3Ink0?3YI9Uucq;5+Zu z?<{RpzQUXfY47r6T5EO#gght%)_!Ccs7?Yj?tTR^j0qLF2%#l9dU~l;Bxc5s%OKTt zfy7peTkrSUpFpkE5yO!-U$#2`ebn*7IO`8BQs8HO1}#6`-7=>7UUiR*tT@3}zUG4O zO1EH1!5avBcr2i0W%Pi;uVwz3AmDj=Y3tAGgQgQ%cLN68s}*UX(GU)#Qt0u;=gAO0V+xkAs4DQrYTsx+X% zwA_7v+FKJ>`JeNvtxbRKI&NUA4zA*abE37@%J11<5q!(lJABz6^-HFq-L5sxipWsP zLGC*PM%(l39Ln0mPyhtP58FW#F99(`J$XobVX<~j(~ZpqqPAI-*{NROc5d3|=;-Fz zJ^RwhW_vbt%R1xP@y$+#XO;;~CkO#?+nWslN<}+aP8K|J^#1|T3AZvdz zv8R!-hDF;0yz_f*%v=lXl+p%a_OO6jWfhlX6Y;~sW@;-(oFiOqlP?koMic=F`)A}8 zOr*|G^J@e5B@Nu|^;$_uDGAJgyALo-?NgG&DQie#)c|jUwmL+&F~C{TO`iIU>L@(0 zFC`~eyvJFi_)u@-X|&{$xW8H8Z8Jax|M>U$AthEzst#~U@Inh`YCkOOO zZschjY+;Imz;ieA6;nU>JBg86c1{+)r4=>G78epVWKWT`w|XnRq)e%~JoePjq<-J) zr{vntOiwZt0bv88U(G-Ekx~|~Nr?GuV7Vx)nH_&eD;(-_xB5Hd)e3O`1T=o9Nd_U! z_Q;n8GUO)1*n+Pcot+@g!q8!O^!Rf0A%CP_Vn)p=RNcGpl@XuP~2|K+ZU-%gispMVig&YpMkb8t_26Htn!Oz zZt<5xi$_=0|3tk5h2D7N0No%rm@N(uL`n{BKQS#nA#3+?1lAl+H&@oVwO!|iSdHNb zm$nq{t91_Qh7MnHyCQMrg~bb?=^F<8*eYO3axf7cg-Ld+!Fn}Iv)d_tjdp;mYJ(y} z*F_t64xw$^Xl3NRHG!Q28O?fE*y$h4*_IBQ!<_;xgPG){n3AX)JI$e5YINVAxyd$k zBaU^L{Ie#N$!kF{E`yP6YFE=f7?Ky!GOc)CRk9EY8{ZA(p+sw0JvrBQU~j#*+-VeE>nBp3-~m4g}*b2onl=VDP#pc&mB{ zIAh1=cLUzh|HKQDX-cU~9=pBGE7%PXpk}Ornu~&%)$3x6?CvdwGvAl0ufkO^_AeMN zIjN@fh@v{>skrD#BUJSGRY55YWQZNL`Lrt`l@K!IPO^|E18j$a@F3Cp_-H-rj78Cp z*pJ7<0w|Q)=5G#|RVVAUoPOywt-LOOYzjbhzl_!LwoHfe78(Hp9pUA*^y4nMW1_PU z`kYI^s*%}~4`}0!UN8 zd$eZ$TX|)2>N=;ZZKn~M0e^H#^eg6lVFhh%S*NFgfqTVfTdagFRu2!4&GEX{1PcFI zBDFM8?4{DW+}xlTP`)%T-g7Y@OciOyFmKEF80wu_GI8!1F!0~Zg>`wC;mtDr*C+u%aT(=VB$n1) zX4x~bgjZ(qf+VV3%)e7EzNlt1kO@DeH4~f+t3bLkg)MSr_H9#XUb+>1r*&(Lf3v69 zEO5Etx&^{&g;^TD-HKnwe9n!20e({o-P?A8YE#F#g(tngc~{pJAnrm?=*8sr-c%6> zFso|%r9dImt);~Li2Bjl2Qnax5b*pnifzPV>(E0+=%exFYx7Pq5qypB$^)J zz^l_Fbw>WS9B_E*iezbjDWJniu& zY@qT$;FG+V32+ke+DF$9(qHv7c$a&qxw)S^DW*+CKL+SKL9N;rTY{#KG}9Bgw3{7rK4*D1ob z+C@)4>lTBT2wYtQUlnJyZ1pfo%mq``FD4o#OSmub84-}JIFYi}qdz#OI;ias6X0FK ztL;bLVUqV&kvrenVy?rtg0qT|tIazZ8w+r`Q$h6ck{Az71ZwX9WP~EkfG;PgfDK=S zpZIdRyVt5#NnC@i-+UmpXyHVw**L>z{{29@L>%~HL^jfW;H%f+3FZF+u=xgW>QqvI#J!cF^FD27`Q;}C%Owgd30jtX_| z^0AZ=hPw_1)$snKOx23nxV!?ljU@v9^4(0IU@jI|ylrM+EL3MA@mr_F2r&Kt`=$X! zGh^|_o8=nV)>Q312;uDeBj=ae1>EJQ*?kxUlkGI$_fx{WmUtCYw&^= z&*pH8sp{AVT+8uazTH~E31ak9wNaKvKACW^pX_micFGzD8PGXj0|cA3n;^?c3`y^( zWxo1T)N9(8hu=atYlws0Lb;Z)J==7*%PufHN&*}p5TqEL zoE+_~9)ka408KbS3kwMix1M$ovo3U!@h{lQ;ekP5T`rQ)fCz}LYdgU@8XQSj_fgN_ zXZBzAawL5voZ?+Po4CUdz`ba@%R8CU>BZ;zNPw|t1b=HX;UI=^Zs0eT(WUug z9f;O(EztjTy@8h!%9Kg!Bz}xfFsFxyE(fNysqsz3K&4l{Tw^%UkKzrLGQQj zV|Vw^{yT%my;;Y-x*e7KZG@Av*LU^>QCAb+6v5kehgBO+aHzx6{Wb)6Xq?9vBCw7b&&AP~C12w8-~EbPaUrnqT)1TOf0AH#Lm!^I@cdjFF>NQk_f0| zzEeP;pW=bHLZ^5(WokuzjZNH((vE^`Ek%WI%C=?$^vkA??WM?g&)UN+{Moyx0N-l) z>7R0OP=l{*Y-Fu1uF;$xW)V^b)5M4h79IT z>QC^pj6gjqId^nc*7(nnnN6(Y4FHzTmFaWmoC?qBHb3EIlS|XxHD|xtrVV7~;~CZv zI(N|ht6w2UyTO^Mdh-4guQD*vQtQc^hYKmTnaY})2rK?o4!7y|UGQOO#@YPn^=c!N z`>`_i$qZndN!OXbKAmHT65s?)IXj025S(Pw_ki3ZuKYb-(O%uuidcUlkv`4vtd=+r z1S>CZf4Y7^eIX0{s(%GA4CQCFcyEFR>uy`jmi1Lbuu&Rx2D$Vp0;X(vhAx0Ij+v}E z8JO9>HPkvQ)MriK0uI|^BY|BR?}ym&I>MYC`bX!+70$$aMm=y@oM5~*cC}D5OLkH< z4a&yGcDy4;aK~@2n(j-2AtY<_G>9Uy3{i^s$_>0f0gtvt2kZxQIDCG}>%VG*?sQAX zd4dx=DklK9A%X(y(G#g|VjJl>PoxRlI>`i=gL4}%G57@z&8Vg|;Gm1u#?H>JX=53b zYR)j&Sp*`S?6-a1Tf5qX$;1xfYYIQ^E8XUN$rJ|SOMQTZ@(t(at)Bnt^Se!5`rT@b zG=wIo4viwWBQZW_8dxGg`^3wZi?2Y>1YB48On~pK`Ce$?5wX(Q>|UG$NXG!OF!+5! zK;<1KZ#v%gtp@|r6Rczd1;Iou$<%o;!hsx6lYvzsU?WpFSd7tFjoRGC-zTyghOmWO z{+X)>TD{&Mc0tSI`@;IFDYCZb0|8VdN(v&L)HCWw*o`2QO~O9=2QIIMEw00e1}slu zdgmirlj^Z6J#iY6?@=yo0d=N?q2>+nysM}>HBrJsyYIm+icm)9WY_7elgTW%3G=X) z-<}Yo+DNhHxocEq;P6}biH#af2afbg^gHxgw-ZQ^EvqIQ^I&Ec@N<=zN&r8c)C!$z z1Qqq^qS>i+(*~xppD(wmsVU%)D(j$I)o>)bvT1#CXrg?2uconT-Ot+xMs49;vl!N5 zMmR$LA3B*|4agGf-fgJXHD4B5Q=hrByXJ*_j4Gkycm`=ot8fCi%9e%I_!rFE~=Mg4Q= zaX{)Ir}wlcGI*6VVySmGf%GhGm~9_*L|VvT zt4C^IHDd$H$U-jYnfhAex7Ed_yBj@My}nPGhEIDUO#cL8dCJE!e9=uuCtB}hdciFb z%I4Sx?dSsNs51WBzpT|b*UyEP_Ke|hI1OB-*Sjsk>$`6NO9o6xmpfH`5yYplfC9-u z!UxvQR0Qq_plEnwQQ4=(&A1a#TAENG)) zf-@>?oFU(1rkXfq97K^SFvdGm_psGmUd4yelZeooY#EyF9EkyL-&s@D)LrKM-JJ{n z`rFLvsu@9&_2@^Ke#@&pU04!3NwIFJ#n_i;{&*A`Y#qJif4Y;k94S2H^B~6U^l*76 z29ydA(`KI-Lqc@xhLLka$g^Ty0LE;%q(l+0(ATQ`E%BL|nMuvwVL(zq*oP6|=3&e| zK-P0Qi)fqJgMna^>UtP{w`?LiI~P2P7AnJUTZ>6u+h!-(A%bwMc@E^1 z2(#mP(Jq&>0iM|t{0xpeLFIU!wrwI8=jgZZpz1g5;Hft)w)P7I8yvK3b-NMS60He4 z8hK6f7PffTY;MW{+`0UJTgkPA)`M^S8ug&kZS$>6s_vqWc+@Fy@e}Y_#J%ix?%VO_ zYuVoO$wYX!oyY-CYR*9+UPbs-O z8Su|t9Z|;_mW|%k!`#4PxWcJ=oLyP|EU?Q9tJx`nJ#7WB`o7e`t}|F*Ikw+SViLs; zQs~+Z!&Mv%Mx^6dRdqJ&odZAjUO7zWtU;@zhfXFYfX$A$N!$Ogx%Ui88~- zAKQqMR1AocB^1$!D4-IBBB%t(AQoA`(25a|Yyeb}gaRcL8B|nIRAPZ-5fBOlBrEY7 ztI+e__q)&ifB9p#7FBz%J=dILjxpvchf$@9$a1*wKN4Jlr5ot`{`Bof!`Y9y1LU;6qB{AzcUe2fH>%+joF;`Si#HWYA~ctTT;yCc8Yp*f^hQ{k6(w4(?^tr$eo4 z=KUZU>yeoD|J2ZL>j;5>EnsUBDQ>=~E5fzKOvJ{Qt93+LR8$m4Tjq(ObN`+ul=CIi zAujsNjyq1Dp1R|-2MQ^qE5E$TXuEQjJ-%Xb$=UC6S8jI7&E8Kk?(53aIBt%eiLl70 zZ!Oc#vl3BNlQ1SjY~+|l95w~rInCNgX-|&IOE;t!W8Fk%&%X(@yvI5Epud*6jxzOz z3F2Ov(%awv^_@^^$E%e`%`l{V>(;IBK~Yox5-^BkU7u$#4ZTL02=MTgN9E7nM_UoX zHX(k#z&TbrI&f=JBhYN`XRC$`D{k)}Z9d;+24J+Jr^wCxXm@QWRE%1iH$#98)yVbb z!foFwGG+aW-)@U~?^-wS^^qj#SSO5%0m9E4^0? zEp>1!7Uo*aNE#U(9YovDAu1{PFHvxpt$Jpc(slNY?AkQPsMqo{-v@pSju#eV>Y_@m zl6id7cln)1z&_p8yl|x*m?gwNdUv#?gn55CW2d2BSDXCp*x|F82AmHwH+@iRG+tLC z`4SEGX?znQ2LEpuX}Q%+DvH)OZX$uKNuBxUwcmqHKhBf1{seu4A8|*mOv(H4<>t?q zIN>K)P;0B954xG}K*>?V~e5l?5{NQLu$6<=D?)fZrd~olG7*A6mbE} z^p#`?*@>q2Tfo^oDy8R1^wxjNBHg|$ z%&2Y5Jb0nAEG&!Df&&#`Jd5IcB(`dqPjRaD4$qEAyK?Urkv|QZ>&FYyTlubh+F_h9KB8?PFm&~^t{tmx;&7Ey?@h9o z>&N{VRIhtx@6%(||+q8o5$L0|A2v%dE-26dU0GAB-0(x2I#qed(k zIvwIWxJe?8vEmJm#=yz^+i4?%kxJA5Df4fAX1reY0KRk%8#OGiOkjKR`CQe$~SdVq)%Ey}lWUZ@}Ws^CI@W7jIsyXwqCeaDE`_ z9KHgmEw`#3y26)Eb4N#vGesOX%-90d!}GP4>d=Y&X>Zd1?OVri)U3Q;`&3Kghe(C{ zJ$|EOtsv9yYPUR z@6J7CP8{NA1kVJ$6I`9KGC}1-g1n#eJMnW*YUHg$&wacTVi|OgCARy>h^4{T;7)n! zmnD~$Opg1S)TPd|e)8OR=|G*cbLa544_}PSr0m8#YR_b5^&qudj(w|-GyQ{u{B*3> zir2_w=GZyQtM1TA45ll(d<$nCa$LF0ci+#UE_34umxCLT#^& zG-_ghB<(xDwq2xm@A*p)jOVS=Opo-)7gb)mLArD79mfTE!M;m6R;}gc^WL=Hv0Ags zz$_`sd%`MYr@r_;lMP&432%e8C7phKBN4H}i-{$}5GA3k0@IRZRLlah4t{BGw{tE$ z|1+(-w56%`pi%*S5 z-EC?MH}7!E>9t`t`yBi;=fHS>^KP5kok@|BR)O=Eac>t95vi_ZuNFsBL!sB?2vg5Q zKQlEol|t)2NzsiHqB4@{inQ(kteZqjOH0p>rs1KHk*dz@#SOV_a zMUza+@mmJIv&AFAoE#^$8^&$)ouywCy&JihpCL3I6BA?hQ-lA^i7fjFx_3_k?kE$G z_QK$nf^=~oT{}5hS=nX*hm$8yUS-^O;TUM((00iUni38x(>0lXy?Gcvr?pNKk>7A zR*NB3Xq%bEuq@{m$lmVDtLu#NaKe7A7B>7uOI8aT`>X%O1k+WP>~MDHpaGO=p#DiH(ah=4lD)=+aXY4m%ZbUXpoA%_fu9ljA0rhevsxzy zRtajp(&bY;es3o?rN*Ryk7O zHlI@DMS1oTT#$3@Z<76RSE3|QL0-Nl{wQDdv$XvU7v*(Jiz7-+9$sir96leZu92r{eGHz#ZT3C(C5)zu~D z&EDGI65tYB(Pl^mw_9q@bw3|*XI9xO}6ciW~m8fBajT-kLV;C9tiAUb;jPy+^0V9CkKaYi^)Jm*T8^J*-g=AKQ+G6Bc4N{7xVMm zUS3(uXlM@QFMmg#Y<9K`(m(*qVu$vVlS%$Oa&iCu`!6jk?ZaW$z#^y4cMOk#mI9|7 z!@J%aY5{obby4z~vx0{`CPQ3`O8og!AMNwCuJw&NGpMKha}geS@<0FlBWeF_`%+$UH78aN-IixrNa3XYYQZmO zDB>I(_U+&5(uV^kZ@zTYds*+b5Ztnj)HobrLkUXbqVR*HPCW);x5m zbeF^CKJVCRhc7r~g>`i#?NT0h`h6Y|S1)?*Wci_vrB-^SNAh~k+E>%5(o6Xio7RUL zrI}qH>uZdk?9VHwNzQHhtbcfT=*7Ovsm^^3nG$`5`!rT_bK5TMFp_&qjZ@>Qe)jq6 z1C98@p*!e-v4@3r@78H=y}!d}_6sROpKD#deL9r{uV8xTBt^pWvX!0`#kJp%@$K*T zhbPBp>dfCZ?_uBU+MOpVbP?XN#U{kd{kFWkyp~$v;T&h~iT*)5$H_coht6Rh3atXd zzW8pR=!3VbmU7I3fBld#RmHrRiE{F`cJboHd7XW)N=jO3Md>&HuiHIS9+}Csn&rFG zh#aurD9+*~WNLs0Ooo$keV z>;OjO)%RpvR+Db0QC8#Zila)?H9ZGZRBTEEHo86_YX%&bDZr{p&@#w&e1r(9LGDs3 zGkJP)kHXj|Q-fSu0`tDSd)mZUpHRHSIg8uz>i0wY*ZA!+$jI*Oi{X(}^Hdsw8C%a^ ze&|q~Sz(;=#Xs#m|5u#Hc$I%07;vCyhW6H_Mr}PBnH&=%pjtKcb9fZ&T_XC6xahg4 z&%Sct<{DO*iTAUf=g*Zh?HX&b<-^AI_aibKdM|lnt<2~Va;^w^Qq^{>pnfn0|yW8 z5EmcvljsUHbxCjU{FtiaI>U86zYXRCM(&Acr{gx8=iqjslBxnFgI(ORg+ePYEI^&@DGocT>-yi4o=-x;z0Lfo{2QPEv@$riK>L_E+;+~Eu9ii49 z9$T$*Vxx$IBP9Z7WQEeR;C7%kyrDW2;HcEe)*IKZ9RmrT?i?;5G<>F$F+DY9o0?Tq zqs^n>Aqh}9HCVFxKmR$|yOdY{grJ~cmej2ddjg!FL}E1jQSn_S44EYUOgnh8m%)4%gV~q zDZej$v}k(lKI_EX4a*v1Y3-czFI?cjn!KeY+phTMpVN7ZE6^XPs~~wRuRnYC?8MKm zDEb7%tM`lps%d8Y1F1>IMmbIgu-86>MqJd#?n+}GKYpBRra}F_6zkRXmAXcF`XT85 z>N=3)l)gXbWOVUSXxob$$3{kKl2Qw;d+nOCkHZ#{*VitCo3(=!RNLEHRJ3TV@cHJh zR#k7`;ztWtZvEr|o?CbS{(pr*L^V!|0+?gAwyxHuHu-Mk`JuPemfF`h*V-v@LS(I8 zy2m0O4@}(Yzlnb`g5vy6w<`odi*HqYOpImCljHxz&6WuX2_C)lEZYKZ zDCi&^B`JDOx#iycfSq!(7Gh_}g9o-E$KHzC z{^s_P@x?!yU0dlh)03^=ZTcmBs^iqj`%)dSI*EFz#<|P}@zWipcY2!hvgmqGj%`%G zC&>!U+9KHOc-qnNDax9?4fXDpZG3E~_bcstFIdi-!QATWn@(-e8B(13zOS!7z2sL4 zyufXP;tL#{r?cR%zq&!i?dB1p#wtAWOmaPdn^vy9asB!;rgLxY2gX3e7EX7oqo2hC z!lZ*Cz%+|cjdE$vruVuiRL38!`||oG8?f}$r=LlA2f$)q@$e!Y-vZRTt1l}oEbQ^) z$H7WI-c+AYPfuAlWj|xs)(>Sh$~bjgds$pO`sJob!-Ph>7Gh_IW=!eQqA`u(BULe~ zLE7mS>QskDhTWoN%W4r%A;G~TS&csiOZaq(yuFt4P-<#jWw>wLxRKk}_&%;V3U;BE zS{HGuhJpo`ta1N@f%ACOozm%{A!TC>S&yR0txnX^)Et3#>7L&_cI*di-m-0*&8urG z7{iE2d zOq(urBl-Px>JMZF9f}+*I+Z-fl9MzdD0Lr>KiNckb)0GIY$8Wu5OrBzP9$g|l5lon(c0az4ce{k4@` z&oEhxD$xUcmgPJ(o2!Ikava^F#K_e9cYJHt#w&VFSoSyNxCWc#dL%W2a_J$~w?4aU zL*Wo%BZGL2h(Ow?R0{soy!hw5ei;*sx2h%Ibp6BR3U$*x8l{7{uy&pZt)!DLF6BCP z-VhKJ5D;kI6*GJZeP_?~cxzUV$7qjLbFTA$6VbY^@+iG4i&l?-$u%fgt~4cD-kdUa z51Ysu2|{-o54Cq@azL6aIe$4d$0_#Z%a_R%adAy-ocgip^p4O>t5(bYhD@PGm%qR2 zq#7G-kg`4Y`o?OzX~50CmI5k5sg6ey!Q_t}Y45qNoM-3^lL5NTZWOrD!KO6|6q;Rq z+5u>|MSbn#-;0;q41fK=#rvl0{S?-?27qh?Y;ug;8!iNf;wYy4g74I z1;h0o?VV@WT4)rs?Wism(0-z6tNJ}llv@u-l$|V=6~!a8tNezYYj?$qu^(7o@5V`E zl%`!qx!PEw3JkHuBZbZO)w#L53nJKX>QSus)S!wE-C#7d@QlURu$Wpp)uzOcXJVxK zC^OCch`XmJUjEmD1tfP++`d0-@tO5nEvVVyCw{03z{Vo!+|cSvvTfnb9|xVX>a1OC zH)QizwI#^Ow@jMW*VR-kS=ZCBqPhcth(}+ zs$4)8;+36}_*wTI3ZKnvSl(5ZG6^N$>?T*G`*2R#5E^1C1p zdQ0zY&UI|N1Ps^N+be_zrjw|xnrY3{oSFJL&^>9UZ`I=fR2%Q~TAWiY5YIOrUBc=kD`eHqjAu zRINmO$CfPzaC6$Ww#fo-OG;F*nZihGPv{KyT6}8a;gB8rIJ{CJ27RL}Rl=-Zxn;3P z{zD8uoft)KWj@?<*|u4hU!*?6D#*Gn#g2)*k4;pdR`O2bXLUoqdpeG{3b7g6mUK3s zBYo4RO&OMzo03{GZNmE0t&N8}!%V>1M5bAz7C@zRAU)e}GUXsnm(V5ns0Y~F3W;XX zk|mNnAF}P6bFIMP=|M2_GDwor>JgU}YIBfgzy};>GJc26iZhu&yw`WeI`}>!-wj7qtvT4rE zyeDO6&0H&DT=V(GW%UwZI{b)kl9kn;o*d5_1v^$M+A_Ov`SL8LPr)$x=QI<5Lb^R_ z3gb*^+Qoe65e+>{H%OUHe*DAz1H#a1+I@1Y&mi66HtUf4j@jLSXpCLevk2?v!ChYG zB>dK%tOYZd;WO)jkuB5wcf(=#W^>@2m@efTR2%KGl#C8Y5-m&8F7`}7{o z*u$(4J!3H*p%TlgnCmyz?6PM1F5?j=HH5!>0x&icbYar6MT^AKJkExu1Q0xw{p{+$j<@<`8L5e=&i*X->FDjXp&0nJ_4U!=Zqavka!O+z z!fLtK=DQEuIs>BK;ntT5=wh)F*6+4HF*?{@;{4X#a*DP;l$(Rryo7#Lcel&`k!NyZixEo1(bQo!6(p=VaNZQ?ngU zsoxcUjpuZ`eO|aLNV(}B?f$x6pnej7TtEtLN4?TR=+G$$Xa&zP?Zby}{Cls=eNwO$U-aP)a=p3dYrbZNE}+(#N41({mAj>)EuEYy-RrM`a`QJ$hE- z(xg8-{U=G-F#9R6^6k#S_wR0lKskm+gls(lLUT1dGxfc6`SR^P(EvU9k&1l= zPfuPvefqS3s^{3ZT671%jq9KZaW|Pmcuo;do^1D;V8!e9wY5EhRID5ssqbM>**EX6zktu) z)7Xz%5LsANRaKVy8E@7K%k%)MX+x4jed;U|IQC*8#cB11j?G%3Qh%ePR##H@kJIs3ZhXvn=hS_0uhg z{aLL9?^arUPujtrw(jV=s~7V@0uZ7_7eP0lN7m_8w+0e?hjV3RC1V0*LYzmiByYUM zbNAUV`>BM7G$=fu^E+f+ZPB0_vCCyru~;z4W1f0Q)ItiSb@ z0=B85Y0jMa=9Dvn{``K61KDwQz!$Yq*!rkzXDETx?oZF6BcZ`0x#Sr3v=ro>HZ}cy zU)grlEPLj)6`O4f@aTmE1YTi1wVs_mP`v`TG?Yy4Lp5k?oT*v4vay?6Hhrdd;Ys|9 zSt^~HWesvh7fPc#D4u(MolA<^Y~!8G838WU`UKVWua{ z<29)!O4XH3fk5@FzwwstwE-LVsi_1An3u`D1bRrYtxqF#xPTQXY7!~P-f9C%NIH?} zCtv&t{`AYjCPUon>eZ`b58hrch}a1nK_6??lzrA?@by~tk~vztR5YwC7PXd@)#{z@ z0mh4oL-9KtWz+bH(LX*U}DGhPl6ku9a z;|!zeId&Jn-c5ghy_;)xp|3ffl;t+~g?rdos8N%K2Hj=L2lO%_fq|zzW)UAl!Qd1L z`qORBK5LrtzChifXqwSem+HWL`}VDMYhi&OkDSG?6#l%GgxdV&ytchdxn+*w)_3#l z((7g>g(1$(nN)^tr7xeiB?SwkoFeM-?L?z!3t&{RscuP7+FAYqFhbgBT$3k&7!3+M zGFj6Luotv&L#9bsQEN(IBihy)@ccU9kdwwi)NPlSH`Gfp6#KOdpRa15Z3AC&5Lc(0 ziYJBI3GkG25X}{v1Y>6-L&FE`9b%8IZpz3zp<0FEAlt>S?}pNQM+i-!3o~T%$PC$N zTwo|Gv5xdyY-ZV>!z*01)67)C! z378)%E^;nV4kUs?)gOL=8F%~X(63S^iv-Gm;jR17s)Ow;f*$ol>w<1}^0#{o& zJL8!&HZ-IO?9~q`p}NwEXZiBw>fxdFhCKEL>)cD z#Jg4mZaIQ0(h)YwjiEUASb`kZO~pe4`E(q;>+e16-h{p_<@D2fIJxb*Izql#iY zyXxf7d|kS9$u>*(KKL25JGSfvYFsB}8-8^;pFI<)zbeHjPdmf%cy(pf+gdQ835GdN z*7a$zIwtvU$NA2GzsPFGbp_a1rPC;Y>n$%wEPV^AG~UT}58JdCo^9mzqo)y`*KJztCrqjHOZ* z0`lxJAj+o{x0K`2SAl2bR&PJ{oHi#~29$84MuNqCW+b|9-MS~}0vm*P?yo(pp+Opu z47*0Dq&ld3!~(*8h8>p3fQyzcWx|YOIf??7g4A)(&t+eI;oe9A(lUCg(X(l8adeLc1bJqufS8cs)Xvhw)pSTQ&_ zNS-*uq1ApgKR-XiZSeHGdGqf2g>54_8LC4XJf%K9q;s2FmqP%`M_oVKP5l_$0bc;i zQrg^>e*iR4HSDI=OaPWzP?TzX$mACcH;aiKcPRWBN0$bemW_DR^5<7U0<@wOy=)86 zVOm07{-wEGFzg4{vS|78I)ZT`i`y!2>&zI{mDPho89=BBSW8_Va8Tg&Sa{{!)odrx zhvCX3$XH4EO&jNdmS$Q;k@<-2x2LCyZLtfZ?T%O=>3kk5z}N`I@$&^8y#&oG%)zvJ zz`i7y#^ZX~-NT&L7jOisM}pVn7y%x1Xa|mL>OWt;ysYd<)cK+7XyMI9fy8I6AeGKt z#5zd$;L?~d0nm-F|FcEXYl2o?DgMgzL_%68n?ta=1%-*gYW zgciE`!)j_79tb2o@PXxv**z7p*^dUSUE2>wZis2~>2j07v z2>I0pRi5FESAiegUOo8T=f-NGtx8HtUf5>34uGjR>2Pv2L<?=b z;z~5gOk`PdeQ^Yu5Bh^J7Cp=)YT05+ga*EMKp*B;2`^i6r8ttaz*g@XD*7=<3+O+~ zZ}|Jy;b7zxP>n4;;A05TM}r~xt8#Vxi6trU9M{OQJ`^TwBnh_(A#GONIfyj2+h^u{ z(#J57DB^Z?*CYVJYqBp3ty+3>;uxf*YSKkh46btVl?KK1H|N=)X6iOSJ++T+TyW0> zC7;8-80jM!spXTf8{xf2vA*~HLgUfuYhY{Fl1^+C>xju&I+p4Fue{V0Ue>8eR?DhN zfT{$BaJZ{HtePdsv!ZSVA`7c-!%nkEgALhdqYnpfKSdT!nbDYj#((d=ea>Isb0yWG ziSxpQ(Gb2!mq(=7=~do9R*T1xD~s1MdLThtgCAvcm)Q}Ju@q*fh8aQ!b7?H>?PZ@q z0fD>wWWV77o*$BLLuk_+49s2)bqf&GGxtyq})lZ0C&teMMQ{l_XN8U_>xJ|>;>DiKZnf8MWRPY_aLny7-<>~p}6bkS|*SD zCH0>6w`!tM9)s+ZMN~$n+ zDQeCUu-c3n9Aq8c73ukrmfsk<*(sb{&J!Y`8#&38$QeHd2zO&rim%E;PDqBf&3dmKypO zPN5Q7v#Mer9K)l|_Cv-@z#}A_5_1FE#;Z%XPE*#4e}+t94Pp*C$F5h}rdAD!Y6rS} z7Fl#GyRQsVIK)lW>51M{hBpq|-;L2g*$7$dUCWxT!Y2c3n;Hmx-SRd^%Xh(oNNHg# zH~i*Zi|?ObtXJ^Jps(fSO~LHxeqLVQxc25d+|mKtjEuZZ<=j*gO-ixyCc8~61T$2RtX!Pz*$y$;6;)n%Q~w7R7X+t z*{Rd95!Neap6dXu*bTe52F8fHLRSZ4xGCtf_g!6bob)-AjT`sCuTTx*W)88eP@L%A z3`+U~PCl{DpVtT*K7l*8xK;@!AUvOV;K=Y_J9$aC%-P4JCpUu6tLG>B zeDLaQ!l7i}8bM&e84R!_!Y0X>!CZeFO0Lj?mcM{zKF7gx#mqT(Mjg#gtq%?Y2TNfh z2xo8HW{Z2=?qv-&V*{y^CoVL`F^l_pE)U%!4GDA3>H;{&VS$;ruHM2;RtNYqsJ zOM#73TD4|PX#cWBC``4txFk9Vler0?w-ps3klZGK^7~qcPfs5K{yiob*DpN5X#{o> z{DT_ynkJ+N<_38;(K0bkG)_cMAPE$=;xM{*?_MCI`ExMWED(9_34jZc8|bs3u`JQ5 z5a958=iKC$b=r@h0A3BE`=HITK|1yLd~pG}R-%WHU1j&_>5EziXwhp#jCTS_un~uS z_m9DL>&nMhaM0m4Y7x-n4L?6!@JMPZ?`g8$cXMC^=mq_pHHr-#3;Fjx$>srl#Ki+l z)+ibo6%~ayd@pJ&yb|UgbpJ^pF&Hx_TH4VEmqLSU{GEX2;ULf?km_*|y|m)}2u2V! z<|X0@xj#_Xj2VQ?D5kc%5u$OM!O0ueL50$RWd-4R=gyspZ|UVuouZK)^EurEB>_AY zaL7Ny7#L;*vo-8O6JTd39EMv?4i8_K)J3C^hO-$<64$hIp78`1a1S5-Mr~EfB9Su(gnA|JaYK3CWs}M{w8)!R%Wb| zcYBJhW7&&be;A(eUXzd~+tXcQ3%)P{cn^t=h&1MDY@-=SuBPkT6j`y|$Er$P>e z1XmGHmE{Xa@z$t`R#}eAYM3DHG8p9PvS7hz^fsDMMbkVWUuwZiN9(TGSUrdpOM8U`vHRq64(b4)CE#AQn#w+@ zUeMwok7;1n>nDgm6by*P`|wlb1MyS(5ac&eYRJQpzNLp7A>Z9~O1`Ngv-~>xl{38} z=$IiER>Ik!MqdE%5%*4pmLSj1kPseCpqP9x@5|6c+kW zc8%cIB2+ANV+K_nbm%_#lYSu&YW`!m-;xF#WoohJF3w1(ni5j!z1$uuP=kujlBmK zbAxb0hG(MNuU1&|&p(g-6(qKh?(659{CrK^Jh8VF z5rPyuZ_%m>Yzi_ZAa=`FPM3r_cwuB-Mj?O$DwGbqszeiUY9B?+TsQ^#@*aGTJ1}); zzmDKCcuSF|v?6)m1T~$%l5YbX6^CJ-7cNz~+6kHlu;5zPJeiA@s{|5F^dzy7Tlu2r zrBA@w>f(%8C1?0pX#QX&_aYN(A=mth5dQK{@LZ6^1Gb9uOvclP7pe*eCs|UqIz2+8 zmgvx0h?UmPEg?-cyzRzV4a7cR=^a!VVuEe}lE^JVc2)ckF18PEB*i14;@G=-D1`+; z37bd<{1c;upG7vef?+JK9Xo7_juu~G@>@FV>L7&f81#eUw|tjaL9He2HKF-gyg2$K z0kYI?&oSGSOKe!ie-mg&ADAr>mbOSN5x53O^SQ`3>)z}OwE{5>`zW2nV}ByQDgvKa zqH3O*st^f?apLRshAf9vILBv;E-&-F zx{N0g#0s0Vb0ik6A_LNOc6^I2Aw7t;C5w!5IwRnvi!34tm zRbiYW$QC3I72%azf=+oiBs_Va#Uf^@1BH_sU=XPsUza<9vMzaqNaSFh5tLi|2Y%Z0Gsq`nC*s#qh;bWoXr(DvUwKBM*z{o9tY)gS{nlUgCn7 zAg#%UXcjfbqa4L!M+@S-qzE?h~N(neF@Jz_*5XD9;39K}wT;91MT zu?|?dh;X2U?FI0S#zrxJ7hDPXd)3O75Yd))B;pz5FtkrMFqN%qlM{fVh?2vua|GlP z2O}!0-82Lu%b||95C=d^1I#xnV=n zip>Yf@6{Q}#^Am0!FbkRFm7CZ{12pQUDG$WDsc}qa7;9RPfyPz2m|ZUL=Z;@MHqSg zpwiU$%ODaI2>Pw_GNC?H{)143Re;%B;oYb{doIIJ7I>eO1ZY6yTn}my)RqarTqZU% zc^1mNA!wKW;GA!XRb~`|#Cvi)dIaF1LhDjT<+@heB+cT<<|HqWz!* z1_qAcqKNScyUZlFME^E#zZrZ>gn0#v;#~Y9A7!3!i)iCEWW{oF@P~cMITug-r@)9u zK%Ex$pTi|EAMIO!8m)%5Tbiey-qCY0-v(C-0PDflz`OwuNpIC6^CvJ>7bH$pM6&&E z+`O5tpbOr2mvR0HG;&C3?xpAecRPMoMuqRm^{<0R2H>_DL%pXca~nW*ucl_;*N+iN zgvCPXIXs??$_3Sbw^PRuGBT1Jv99$gik4=Ga8DL!8+DP@-T*`{|GTb&9g}ArKfTFJzJfzV(#J2OxiXFrJ%* zbhahF+KPg48T{xAD=HepB~cB5&l%6TS23PABg9VswKi>I9W?zK5N(pECv^SvgFdc@ zbI?d4#oQ%r6sq6by1Kd%?D2qY5sF?0IB1v-E-V2SlOC|+(q68 zdk?>U@YcGs2z%_vBo%*Nf=8#OrqopCie7buyt^h!cQv5Jstp@Fo4ZKs)m`xjB0yMi znVWJ?f5xMD{)a=sEzcAmvcrW_CY^U}#Ay7X1-=+G%J ztm`SXC#26oar(rIakN@=gehPh&N(l1%CNcYj;WwJcz9AL9{{@c!gmo*7V5$Uj_NyX z#GP#lmOmY&dmmBC}6ONV_p(aGOU?7tZbM{&VoIk!}Mj%RX$hFJ^3n{+td^ zFI&6<6dXm>ZT{~5;>8Oh{V`LFuORza3zC zrlzNLFdX)Caxw|?W?;bX2*5@9ZyhfOf1N5wy8eDHKE71Y_q|YwC~#E6xwE{zdt|JC8l!kRL%MQAG@DJQW5=#R5Gst&4n_GgaLzET_I1KS^<={B94Hb&d z`^O`aKH!;&@od772{xyuKd-`%=YQMx;+YUCU=+_;1z;(+ZJ5lI0`Vsz(wYLf$Yu?Q zCQuBQhV@Oi_qa5Sb0{h?%#)0fUq`(ypSME4j7CpGOnywLy_tA|5O0a|UODm$3~~Vh z|4|q!-Av9AL}uK)dWUu?Em{8h#r&clpgaLc_zCsN;yp)+AaWV*Sic@Sij-HJ4RD8C zJZem=XA_H-2s=9=`LuIsR!Dzp=^mrj5Y6|1`5IlSr0qG5WlK?%JtfDN8~8!2F!9$_jG z=I;F<(De{T1o5yttodRAVH&771oF2P`wB@(Nj0~FXvZv1@cbp~9^!n18k!-N@dJ_P zF(`-YZOgsv7D&`!0@aBu#k00loOovm4kdg6#&D$18$Ub!x&|8V6<^;ZSaXJkhQxVz z*iXb4U*@?7`=5+T6~es+&tuc~9CS09Xp#u`Kt{FVqB(OuqB$U-k?g1i%eb+$zJwOw zLDP(Y|4%&q500n9-@hM2v$1O3I?HJ-XnT-L6L7C=FVeN_KjshFe+GX*R$US;23UTR zaanNEHDIeq_-pL^lOv!E<4xK@Th*&jEod+=Afe+e2oP>y*x68o1MCQ8BU1QdF9}B| zAI{ZX2p?^a_ zgUzqlujF+1X(w|A=qCw#-0CQr3cn#K>BKSq`SVGV`;@mrK(9mvk_3b51=rEx!-sSG zhe=n2V}uT%TVxAp8$>OTYVfj9^i;&+-!hT|^ospKAAw$w2y-RUSvczlxm6Bn7d#D; zGH~HcY(}6>x9To3K}9TRXz600={C~Nlh@|_&FRiX`|@fbNmmkQK9T~QI?0X6DTJ6d z#&jwXbLQ%4Kn>$*(EoRxc&bcxEynO2e&k~llFq>c@!v_KsF%!lxzF@dzW-HKgP(UHDckO=&4K4m1xCX?)V6R6tb{NGlR=RwjX~ZehlG6m>l%OmzLXKEIKqXfAB5_Re8lez)NP++?L+r};%zerwD+dhYA{N+1d_ ziqDF?yrH=E;F|cL~u;h(E^oSldLa+t4gb4n?+35m6q+tPOZJchck$;XhbPS zJW7RH69xJ(4jZo5j10S>XsQpuy=A`*c2gjyEU#;MFml3!B~sjoM(iru71CP}S7OT+ z{-d9Ye2R3FPdox>vxc$=;o#*ihho%Ca=-$-L)yQFRQdUpQI_G&H+urJ8wbY{StJWW zv0}`C1x|p>d7#UP2lq=j`P>LC9f+)qel_BEW~WwH07ecD0i=F&5;ztg))Qh6H&6$t zZ|}YV07vWO$%oFH#6(5OWKK{~QPHRaf&^Qjw77U5(y~-RBeGL25Hq%qY8A85C=y~n z#-Dywf9IhN)y4(6n4-}=efrBTujNON9>rQ7fgO`fNFrIB@yNO;zYA58SoeSqlS6i) zu6vX;?$S?-`ID1V2Su`Xdc6a{UpahYa{MzySexs5WOEHB*NBmau$R{{8m}A{>K= zM6)2+dd@xBBsG7?=^9w$292$lygEXPDLNdS0l~JS*uSW&(?d)V^@$9&_wH+2!0QI< zbR=lB()p+y4Tw$W4ZVmkeIG@{7k0a__dL?!UHI14*%?bFz2|~bTUq%6Su-Yx&s2Cm zNEO4AO2C$BBgZhn6-u54?m=s=@DUfs>o;#Oo~{bi79s!%VTYn(3(bs!L;QAe+f(~3 z_c6oOSsrBqc_0vxNWduYB8lYM1$n54aho|y+fod30{az4O=ih%z|tf)w!L}%npl$p zV*tCv-V-kzfBE3Z2yq_>Bw!w$jbnfQ{P~teGl;5QC8Ya)Y{1563`UXywwpYFzOIzb zCXhQ||M0JTx=iNx|IGb)_rkA(IR5+B;(u_u|M!2`|6%s${GtE-H>H35KGEU#-v=!G ze}9;00J-S@`BC0_l7G&U`}^-Ms6AJnbBO%@8;<|~UC`&*KSVyS^A`9nKswD`v;!w- z`<%>A(X1To`L(U=%sKST&G^Nn`S&rQL_1e{eqo?nU#h6|MxHa zvC=0Bzp(wkpFqQ9oui$ybNs)5N1P(Id+tM~nwSJFaFO59a`&Qy^3wkS-kSfj literal 0 HcmV?d00001 From 98b922f67ead2a4c462d982d01f908580f71ca4f Mon Sep 17 00:00:00 2001 From: "Prof. Truong Son Hy" Date: Wed, 17 Apr 2024 23:44:25 -0400 Subject: [PATCH 2/4] Update README.md --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6ef0489..dc2415e 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,7 @@ # Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models +![Equivariant-Diffusion](Equivariant-Diffusion.png) + Contributors: * Nhan Nguyen * Duy Nguyen @@ -110,4 +112,4 @@ python train.py \ --accumulate_grad_batches 8 \ --no_cb_distogram \ --save_dir "workdir/train/reproduce_ProteinReDiff" -``` \ No newline at end of file +``` From 4ea7e92421b2c7a2b61fd385a5aa483989e19fd4 Mon Sep 17 00:00:00 2001 From: nnguyen19 Date: Thu, 18 Apr 2024 12:13:09 -0500 Subject: [PATCH 3/4] clean all junk codes, add proper citations --- ProteinReDiff/data.py | 23 +- ProteinReDiff/dev.py | 147 - ProteinReDiff/difffusion.py | 3 + ProteinReDiff/mask_utils.py | 1 - ProteinReDiff/model.py | 201 +- ProteinReDiff/models/AF2_modules.py | 220 +- ProteinReDiff/models/utils.py | 19 + ProteinReDiff/modules.py | 100 +- ProteinReDiff/mol.py | 17 + ProteinReDiff/tmalign.py | 11 + ProteinReDiff/utils.py | 17 + README.md | 32 +- data/PRD_test_pdb_ids | 1108 ++ data/PRD_train_pdb_ids | 25631 ++++++++++++++++++++++++++ data/PRD_val_pdb_ids | 1452 ++ preprocess_pdbbind.py | 18 +- train.py | 9 + train_from_ckpt.py | 11 +- 18 files changed, 28412 insertions(+), 608 deletions(-) delete mode 100644 ProteinReDiff/dev.py create mode 100644 data/PRD_test_pdb_ids create mode 100644 data/PRD_train_pdb_ids create mode 100644 data/PRD_val_pdb_ids diff --git a/ProteinReDiff/data.py b/ProteinReDiff/data.py index 92269ab..ecb22d1 100644 --- a/ProteinReDiff/data.py +++ b/ProteinReDiff/data.py @@ -1,4 +1,12 @@ -#### CITE +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand +""" + from pathlib import Path from typing import Any, List, Mapping, Optional, Sequence, Union from itertools import cycle, islice @@ -15,7 +23,7 @@ from .mol import get_mol_positions from .protein import Protein, protein_to_ca_mol -from .dev import spatial_mask ### (NN) +from .dev import spatial_mask def ligand_to_data(ligand: Chem.Mol, **kwargs: Any) -> Mapping[str, Any]: @@ -113,7 +121,7 @@ def collate_fn(data_list: Sequence[Mapping[str, Any]]) -> Mapping[str, Any]: else: batch[k] = default_collate([data[k] for data in data_list]) - ### (NN): Adding spatial masking + ### Adding spatial masking # if "residue_spatial_mask" not in data_list[0]: # feat_pad = (0, 0) * (data_list[0]["residue_mask"].dim() - 1) # batch["residue_spatial_mask"] = default_collate( @@ -190,7 +198,6 @@ def load_data(self): for pdb_id in tqdm(self.pdb_ids): ligand_data = torch.load(self.root_dir / pdb_id / "ligand_data.pt") protein_data = torch.load(self.root_dir / pdb_id / "protein_data.pt") - # if (protein_data['num_residues'] + ligand_data["num_atoms"]) <=400: yield {"pdb_id": pdb_id, **ligand_data, **protein_data} def get_stream(self): return cycle(self.load_data()) @@ -214,20 +221,20 @@ def __init__( def setup(self, stage: Optional[str] = None) -> None: self.train_pdb_ids: List[str] = [] - with open(self.data_dir / "nn_short_train_pdb_ids", "r") as f: + with open(self.data_dir / "PRD_train_pdb_ids", "r") as f: self.train_pdb_ids.extend(line.strip() for line in f.readlines()) self.val_pdb_ids: List[str] = [] - with open(self.data_dir / "val_pdb_ids", "r") as f: + with open(self.data_dir / "PRD_val_pdb_ids", "r") as f: self.val_pdb_ids.extend(line.strip() for line in f.readlines()) self.test_pdb_ids: List[str] = [] - with open(self.data_dir / "nn_test_pdb_ids", "r") as f: + with open(self.data_dir / "PRD_test_pdb_ids", "r") as f: self.test_pdb_ids.extend(line.strip() for line in f.readlines()) def train_dataloader(self) -> DataLoader: return DataLoader( PDBbindDataset(self.cache_dir, self.train_pdb_ids), batch_size=self.batch_size, - shuffle=True, ## (NN) + shuffle=True, num_workers=self.num_workers, collate_fn=collate_fn, # prefetch_factor = 500, diff --git a/ProteinReDiff/dev.py b/ProteinReDiff/dev.py deleted file mode 100644 index f17b8f0..0000000 --- a/ProteinReDiff/dev.py +++ /dev/null @@ -1,147 +0,0 @@ - -import math -import numpy as np -from typing import List, Tuple, Union, Optional, Callable, Dict -import random -import einops -import torch -from einops.layers.torch import Rearrange #it's a layer -from torch import nn -from einops import rearrange # noqa -from torch import Tensor -from .features import ALLOWABLE_ATOM_FEATURES, ALLOWABLE_BOND_FEATURES - -get_max_val = lambda x: torch.finfo(x.dtype).max # noqa - -def safe_norm(x: Tensor, dim: Union[int, Tuple[int, ...]], keepdim: bool = False, eps: float = 1e-12): - """Safe norm of a vector""" - return torch.sqrt(torch.sum(torch.square(x), dim=dim, keepdim=keepdim) + eps) - -def default(x, y): - """Returns x if x exists, otherwise y.""" - return x if x is not None else y - -def exists(x): - """Returns true iff x is not None.""" - return x is not None - -def get_mask_len( - n_res: int, - min_n_max_p: Tuple[float, float], - min_n_max_res: Optional[Tuple[int, int]] = None, -) -> int: - """gets number of residues to mask given - (1) number of residues in sequence - (2) minimum/maximum percentage of sequence to mask (min_n_max_p) - (3) [Optional] upper and lower bounds on number of residues to mask (min_n_max_res) - """ - min_frac, max_frac = min_n_max_p - min_res, max_res = default(min_n_max_res, [0, n_res]) - min_res = int(max(min_res, n_res * min_frac, 0)) - max_res = int(max(min_res, min(max_res, n_res * max_frac, n_res))) - mask_len = random.randint(min_res, max_res) - return min(n_res, mask_len) - -def k_spatial_nearest_neighbors( - points: Tensor, idx: int, top_k: int, max_dist: Optional[float] = None, include_self: bool = False -) -> Tensor: - """Get k nearest neighbors for point at index idx""" - assert points.ndim == 2, ( - f"this function expects coordinate of shape (n,3) - " f"does not work for batched coordinates" - ) - diffs = points - rearrange(points[idx], "c -> () c") - dists = safe_norm(diffs, dim=-1) - dists[idx] = 0 if include_self else get_max_val(dists) - top_k = min(points.shape[0] - int(~include_self), top_k) - nbr_dists, nbr_indices = dists.topk(k=int(top_k), dim=-1, largest=False) - return nbr_indices[nbr_dists < default(max_dist, get_max_val(dists))] - -def bool_tensor(n, fill=True, posns: Optional[Tensor] = None): - """Bool tensor of length n, initialized to 'fill' in all given positions - and ~fill in other positions. - """ - # create bool tensor initialized to ~fill - mask = torch.zeros(n).bool() if fill else torch.ones(n).bool() - mask[posns if exists(posns) else torch.arange(n)] = fill - return mask - -def spatial_mask( - num_residue: int, - coords: Tensor, - min_n_max_p: Tuple[float, float], - top_k: Union[List[int], int] = 30, - max_radius=12, - mask_self: bool = False, - atom_pos: int = 1, - **kwargs, # noqa - -) -> Tensor: - """Masks positions in a sequence based on spatial proximity to a random query residue - - atom_pos: index of protein RESIDUE_ATOMS, 1 -> Ca - """ - coords = coords.squeeze(0) if coords.ndim == 4 else coords - top_k = get_mask_len( - n_res=num_residue, - min_n_max_p=min_n_max_p, - min_n_max_res=(1, top_k) - ) - mask_posns = k_spatial_nearest_neighbors( - points=coords[:, atom_pos], - idx=np.random.choice(num_residue), - top_k=min(num_residue, top_k - int(not mask_self)), - max_dist=max_radius, - include_self=not mask_self - ) - return bool_tensor(num_residue, posns=mask_posns, fill=True) - - - -class SpatialMaskingModule(nn.Module): - def __init__(self, - max_p: float = 1.0, - inf = 1e10 - ): - super().__init__() - self.max_p = self.max_p - self.inf = inf - - - def forward(self, residue_ca_pos, - residue_mask, - atom_pos, - atom_mask): - """ - residue_ca_pos : Ca coords; [N_seq, 3] - - """ - n_res = residue_mask.sum(-1).max() - n_mean_res = residue_mask.sum(-1).median() - - atom_centroids = atom_pos.sum(-2) / atom_mask.sum(-1, keepdim = True) - atom_centroids = atom_centroids.unsqueeze(-2).expand(-1, atom_pos.shape[1], -1) - - dists = (safe_norm(atom_centroids - residue_ca_pos, dim = -1) + - (1-residue_mask) * self.inf) #with padding - - topk = np.round( - np.random.choice( - np.linspace(0,self.max_p,1000) - ) - *n_mean_res - ) - nbr_dists, nbr_indices = dists.topk(k=topk, dim=-1, largest=False) - residue_spatial_mask = residue_mask.scatter_(dim=-11, index=nbr_indices, value=0) - - return residue_spatial_mask - - - - -def random_mask(num_residue: int, coords: Tensor, min_p: float, max_p: float, **kwargs) -> Tensor: # noqa - """Randomly masks each sequence position w.p. in range (min_p, max_p)""" - mask_prob = np.random.uniform(min_p, max_p) - mask_posns = torch.arange(num_residue)[torch.rand(num_residue) < mask_prob] - return bool_tensor(num_residue, posns=mask_posns, fill=True) - - diff --git a/ProteinReDiff/difffusion.py b/ProteinReDiff/difffusion.py index b9206ed..ee7c636 100644 --- a/ProteinReDiff/difffusion.py +++ b/ProteinReDiff/difffusion.py @@ -1,3 +1,6 @@ +# Beta parameter diffusion scheduler +# Adapted from https://github.com/aqlaboratory/genie + import math import torch diff --git a/ProteinReDiff/mask_utils.py b/ProteinReDiff/mask_utils.py index 2b2e756..89cb108 100644 --- a/ProteinReDiff/mask_utils.py +++ b/ProteinReDiff/mask_utils.py @@ -19,7 +19,6 @@ def __init__(self, inf = 1e10 ): super().__init__() - # self.max_p = max_p self.inf = inf diff --git a/ProteinReDiff/model.py b/ProteinReDiff/model.py index 15e3a31..4faaea9 100644 --- a/ProteinReDiff/model.py +++ b/ProteinReDiff/model.py @@ -1,3 +1,20 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand + +ProteinReDiff includes significant innovations including: +- Stochastically masking & featurization of protein sequences +- Adaptations of Single Representation Attention and Outer Product Mean from AF2 +- Parameterization of \beta_T diffusion (instead of using variational lower bound in DPL) +- Denoising through both sequence and structure spaces +- Flexible generation output (sequences only, sequence-structures) + +""" + from argparse import ArgumentParser, Namespace from typing import Mapping, Union @@ -40,7 +57,6 @@ def __init__(self, args: Union[Namespace, Mapping]): super().__init__() if isinstance(args, Mapping): args = Namespace(**args) - # self.no_cb_distogram = args.no_cb_distogram self.pair_dim = args.pair_dim self.single_dim = args.single_dim self.dist_dim = args.dist_dim @@ -52,8 +68,6 @@ def __init__(self, args: Union[Namespace, Mapping]): self.setup_schedule = False self.setup_esm = False self.mask_prob = args.mask_prob - # self.gamma_0 = args.gamma_0 - # self.gamma_1 = args.gamma_1 self.num_steps = args.num_steps self.diffusion_schedule = args.diffusion_schedule self.learning_rate = args.learning_rate @@ -72,7 +86,6 @@ def __init__(self, args: Union[Namespace, Mapping]): SinusoidalProjection(self.time_dim), Linear(self.time_dim, self.pair_dim, bias=False, init="normal"), ) - # self.embed_residue_type = nn.Embedding(len(RESIDUE_TYPES)+1, self.single_dim) ## (NN) +1 to ignore gaps 0 self.embed_residue_type = nn.Sequential( nn.LayerNorm(len(RESIDUE_TYPES)+1, elementwise_affine=False), Linear(len(RESIDUE_TYPES)+1, self.single_dim, bias = False, init = 'normal'), @@ -88,8 +101,6 @@ def __init__(self, args: Union[Namespace, Mapping]): Linear(self.esm_dim, self.single_dim, bias=False, init="normal"), ) self.embed_relpos = nn.Embedding(self.max_relpos * 2 + 1, self.pair_dim) - # self.embed_cb_distogram = nn.Embedding(39, self.pair_dim) - # self.embed_ca_distogram = nn.Embedding(39, self.pair_dim) self.embed_dist = nn.Sequential( RadialBasisProjection(self.dist_dim), Linear(self.dist_dim, self.pair_dim, bias=False, init="normal"), @@ -110,22 +121,9 @@ def __init__(self, args: Union[Namespace, Mapping]): Linear(self.single_dim, len(RESIDUE_TYPES)+1, bias=False, init="final"), ) - - # if self.training_mode: - # with torch.no_grad(): - # self.esm_model, _ = torch.hub.load("facebookresearch/esm:main", "esm2_t33_650M_UR50D") - # for param in self.esm_model.parameters(): - # param.requires_grad = False - # self.esm_model.to(self.device).eval() #to(self.device) - ## ignore esm params: - # ema_parameters = [param for name, param in self.named_parameters() if not name.startswith("esm_model")] - # ema_parameters = list(self.parameters())[:-538] - - # self.ema = ExponentialMovingAverage(ema_parameters, decay=self.ema_decay) #self.parameters() - # else: self.ema = ExponentialMovingAverage(self.parameters(), decay=self.ema_decay) # - self.save_hyperparameters(args) ## TODO: Uncomment before training + self.save_hyperparameters(args) @@ -138,7 +136,6 @@ def add_argparse_args(parent_parser: ArgumentParser) -> ArgumentParser: @staticmethod def add_diffusion_args(parent_parser: ArgumentParser) -> ArgumentParser: parser = parent_parser.add_argument_group("DiffusionModel") - # parser.add_argument("--no_cb_distogram", action="store_true") parser.add_argument("--training_mode", action="store_true") parser.add_argument("--mask_prob", type=float, default=1.0) parser.add_argument("--esm_dim", type=int, default=1280) @@ -168,8 +165,6 @@ def add_iterative_denoiser_args(parent_parser: ArgumentParser) -> ArgumentParser parser.add_argument("--dropout", type = float, default = 0.3) parser.add_argument("--num_gvp_encoder_layers", type = int, default = 3) parser.add_argument("--num_positional_embeddings", type = int, default = 16) - # parser.add_argument("--gvp_node_hidden_dim_scalar", type = int, default = 128) - # parser.add_argument("--gvp_node_hidden_dim_vector", type = int, default = 64) parser.add_argument("--gvp_edge_hidden_dim_scalar", type = int, default = 32) parser.add_argument("--gvp_edge_hidden_dim_vector", type = int, default = 32) return parent_parser @@ -208,7 +203,6 @@ def on_load_checkpoint(self, checkpoint): def configure_optimizers(self): optimizer = torch.optim.Adam(self.parameters(), lr=self.learning_rate) lr_scheduler_config = { - # "scheduler": torch.optim.lr_scheduler.LinearLR( "scheduler": torch.optim.lr_scheduler.LinearLR( optimizer, start_factor=1.0 / self.warmup_steps, @@ -220,10 +214,6 @@ def configure_optimizers(self): def optimizer_step(self, *args, **kwargs): super().optimizer_step(*args, **kwargs) - # if self.training_mode: - # ema_parameters = list(self.parameters())[:-538] - # self.ema.update(ema_parameters) - # else: self.ema.update(self.parameters()) def load_esm(self): @@ -231,30 +221,23 @@ def load_esm(self): self.esm_model, _ = torch.hub.load("facebookresearch/esm:main", "esm2_t33_650M_UR50D") for param in self.esm_model.parameters(): param.requires_grad = False - self.esm_model.to(self.device).eval() #to(self.device) + self.esm_model.to(self.device).eval() def validation_step(self, batch, batch_idx): - ## (NN) if not self.setup_schedule: self.run_setup_schedule() self.setup_schedule =True - # if not self.setup_esm: - # if self.training_mode: - # self.load_esm() - # self.setup_esm = True batch = self.prepare_batch(batch, batch_idx) x = batch["x"] mask = batch["residue_and_atom_mask"] batch_size = x.size(0) num_nodes = einops.reduce(mask > 0.5, "b i -> b", "sum") - # t_struc = torch.rand(batch_size, device=self.device) - # t_seq = torch.rand(batch_size, device=self.device) ## (NN) t = torch.randint(0, self.num_steps, size=(batch_size,)).to(self.device) - with self.ema.average_parameters(): ## (NN) for valudation only - diff_loss= self.diffusion_loss(batch, x, mask, t) ## (NN) - loss = torch.mean(diff_loss / num_nodes) ## (NN) + with self.ema.average_parameters(): + diff_loss= self.diffusion_loss(batch, x, mask, t) + loss = torch.mean(diff_loss / num_nodes) self.log( "val_loss", loss, @@ -276,7 +259,6 @@ def forward(self, batch, z, seq_t, mask, t): bond_distance = batch["bond_distance"] residue_type = batch["residue_type"] residue_mask = batch["residue_mask"] - # if self.training: residue_extra_mask = batch["residue_extra_mask"] residue_esm = batch["residue_esm"] residue_chain_index = batch["residue_chain_index"] @@ -297,42 +279,28 @@ def forward(self, batch, z, seq_t, mask, t): mask_2d = mask.unsqueeze(-1) * mask.unsqueeze(-2) zi_zj = z.unsqueeze(-2) - z.unsqueeze(-3) noise_dist = torch.linalg.norm(zi_zj, dim=-1) - - - scaled_t = (t)/self.num_steps - single = atom_mask.unsqueeze(-1) * self.embed_atom_feats(atom_feats) single += residue_mask.unsqueeze(-1) * ( - self.embed_residue_type(seq_t) + ## (NN) - self.embed_residue_esm(residue_esm) ## (NN) + self.embed_residue_type(seq_t) + + self.embed_residue_esm(residue_esm) ) - pair = atom_mask_2d.unsqueeze(-1) * ( bond_mask.unsqueeze(-1) * self.embed_bond_feats(bond_feats) + self.embed_bond_distance(bond_distance.clamp(max=self.max_bond_distance)) ) - pair += residue_mask_2d.unsqueeze(-1) * ( chain_mask.unsqueeze(-1) * self.embed_relpos( self.max_relpos + relpos.clamp(min=-self.max_relpos, max=self.max_relpos) ) - ) - pair += mask_2d.unsqueeze(-1) * ( self.embed_dist(noise_dist) + self.embed_beta(scaled_t[:, None, None]) ) - - - cache = None single, pair, cache = self.Denoiser(batch, residue_ca_pos, t, single, pair, cache) - - - w = self.weight_radial(pair) r = zi_zj * torch.rsqrt( torch.sum(torch.square(zi_zj), -1, keepdim=True) + 1e-4 @@ -343,7 +311,6 @@ def forward(self, batch, z, seq_t, mask, t): "sum", ) noise_pred = remove_mean(noise_pred, mask) - seq_pred = self.seq_mlp(single) return noise_pred, seq_pred @@ -356,15 +323,12 @@ def sample_step(self, batch, z, seq_t, mask, t): bond_distance = batch["bond_distance"] residue_type = batch["residue_type"] residue_mask = batch["residue_mask"] - # if self.training: residue_extra_mask = batch["residue_extra_mask"] residue_esm = batch["residue_esm"] residue_chain_index = batch["residue_chain_index"] residue_index = batch["residue_index"] residue_one_hot = batch["residue_one_hot"] residue_ca_pos = batch["residue_atom_pos"][:, :, 1] - - atom_mask_2d = atom_mask.unsqueeze(-1) * atom_mask.unsqueeze(-2) residue_mask_2d = residue_mask.unsqueeze(-1) * residue_mask.unsqueeze(-2) relpos = residue_index.unsqueeze(-1) - residue_index.unsqueeze(-2) @@ -374,38 +338,29 @@ def sample_step(self, batch, z, seq_t, mask, t): mask_2d = mask.unsqueeze(-1) * mask.unsqueeze(-2) zi_zj = z.unsqueeze(-2) - z.unsqueeze(-3) noise_dist = torch.linalg.norm(zi_zj, dim=-1) - - - scaled_t = (t)/self.num_steps - single = atom_mask.unsqueeze(-1) * self.embed_atom_feats(atom_feats) single += residue_mask.unsqueeze(-1) * ( - self.embed_residue_type(seq_t) + ## (NN) - self.embed_residue_esm(residue_esm) ## (NN) + self.embed_residue_type(seq_t) + + self.embed_residue_esm(residue_esm) ) pair = atom_mask_2d.unsqueeze(-1) * ( bond_mask.unsqueeze(-1) * self.embed_bond_feats(bond_feats) + self.embed_bond_distance(bond_distance.clamp(max=self.max_bond_distance)) ) - pair += residue_mask_2d.unsqueeze(-1) * ( chain_mask.unsqueeze(-1) * self.embed_relpos( self.max_relpos + relpos.clamp(min=-self.max_relpos, max=self.max_relpos) ) - ) - pair += mask_2d.unsqueeze(-1) * ( self.embed_dist(noise_dist) + self.embed_beta(scaled_t[:, None, None]) ) - cache = None single, pair, cache = self.Denoiser(batch, residue_ca_pos, t, single, pair, cache) - w = self.weight_radial(pair) r = zi_zj * torch.rsqrt( torch.sum(torch.square(zi_zj), -1, keepdim=True) + 1e-4 @@ -416,22 +371,19 @@ def sample_step(self, batch, z, seq_t, mask, t): "sum", ) noise_pred = remove_mean(noise_pred, mask) - seq_pred = self.seq_mlp(single) - return noise_pred, seq_pred @torch.inference_mode() def sample(self, batch): - if not self.setup_schedule: ##(NN) + if not self.setup_schedule: self.run_setup_schedule() self.setup_schedule = True if not self.setup_esm: if self.training_mode: self.load_esm() - self.setup_esm = True - + self.setup_esm = True batch = self.prepare_batch(batch) x = batch["x"] mask = batch["residue_and_atom_mask"] @@ -451,7 +403,6 @@ def sample(self, batch): for i in range(self.num_steps): t = torch.broadcast_to(time_steps[i], (batch_size,)) - # [b, 1, 1] w_noise = ((1. - self.alphas[t].to(self.device)) / self.sqrt_one_minus_alphas_cumprod[t].to(self.device)) @@ -467,9 +418,7 @@ def sample(self, batch): noise = remove_mean(torch.randn_like(x), mask) std = self.sqrt_betas[t][:,None, None].to(self.device) z_struc_t = mean + std * noise - pos = nanometre_to_angstrom(z_struc_t) - return pos, residue_mask.unsqueeze(-1) * seq_pred def prepare_batch(self, batch, id=None): @@ -488,33 +437,10 @@ def prepare_batch(self, batch, id=None): + residue_mask.unsqueeze(-1) * residue_ca_pos ) x = angstrom_to_nanometre(pos) - mask = atom_mask + residue_mask #both mask - - # if self.training_mode: - # residue_spatial_mask, residue_spatial_mask_esm = self.SpatialMaskingBlock(residue_ca_pos, residue_mask, - # atom_pos, atom_mask) - # esm_tokens = self.SpatialMaskingBlock.mask_residue_esm(residue_esm_tokens) - - - # with torch.no_grad(): - # results = self.esm_model(esm_tokens.to(self.device), repr_layers=[self.esm_model.num_layers]) - # token_representations = results["representations"][self.esm_model.num_layers] - # batch["residue_esm"] = token_representations * residue_mask.unsqueeze(-1) - - - # batch["residue_esm"] = batch["residue_esm"] * residue_spatial_mask.unsqueeze(-1) - # spatial_mask = atom_mask + residue_spatial_mask - # batch["residue_spatial_mask"] = residue_spatial_mask - # batch["residue_and_atom_spatial_mask"] = spatial_mask - # batch["residue_type_masked"] = (residue_type * residue_spatial_mask).long() - # batch["residue_atom_pos"] = residue_spatial_mask[:,:,None,None]* batch["residue_atom_pos"] - # batch["residue_one_hot"] = batch["residue_one_hot"] * residue_spatial_mask[:,:,None] - # else: - # batch["residue_type_masked"] = batch["residue_type"] + mask = atom_mask + residue_mask if self.training_mode: residue_esm_tokens = batch["residue_esm_tokens"] - # torch.manual_seed(id) rt = torch.rand(1) mask_prob = np.random.uniform(0.1,self.mask_prob) if rt< 0.3: @@ -526,19 +452,8 @@ def prepare_batch(self, batch, id=None): esm_tokens = self.SpatialMaskingBlock.mask_residue_esm(residue_esm_tokens) else: - # residue_extra_mask = residue_mask.clone() residue_extra_mask, residue_inv_extra_mask, residue_extra_mask_esm = self.RandomMaskingBlock(residue_mask, 0., inverse_mask = True) - - # if rt<0.5: - - # with torch.set_grad_enabled(False): - # results = self.esm_model(esm_tokens.to(self.device), repr_layers=[self.esm_model.num_layers]) # - # token_representations = results["representations"][self.esm_model.num_layers] - # batch["residue_esm"] = (token_representations * residue_extra_mask.unsqueeze(-1)).requires_grad_(True) batch["residue_esm"] = batch["residue_esm"] * residue_extra_mask.unsqueeze(-1) - # spatial_mask = atom_mask + residue_spatial_mask - # batch["residue_spatial_mask"] = residue_spatial_mask - # batch["residue_and_atom_spatial_mask"] = spatial_mask batch["residue_type_masked"] = (residue_type * residue_extra_mask).long() batch["residue_one_hot"] = batch["residue_one_hot"] * residue_extra_mask.unsqueeze(-1) else: @@ -546,61 +461,28 @@ def prepare_batch(self, batch, id=None): batch["residue_esm"] = batch["residue_esm"] * residue_extra_mask.unsqueeze(-1) batch["residue_type_masked"] = (residue_type * residue_extra_mask).long() batch["residue_one_hot"] = batch["residue_one_hot"] * residue_extra_mask.unsqueeze(-1) - - batch["residue_extra_mask"] = residue_extra_mask batch["residue_inv_extra_mask"] = residue_inv_extra_mask batch["x"] = x batch["residue_and_atom_mask"] = mask - - - return batch - - ## TODO: Consider to do random stochastic for beta_t - def gamma(self, t): - return self.gamma_0 + (self.gamma_1 - self.gamma_0) * t - - ### (NN) Add noise to structure, sequence - def add_noise(self, x, mask, t): - with torch.enable_grad(): - t = t.clone().detach().requires_grad_(True) - gamma_t = self.gamma(t) - if x.size(-1)==3: ## (NN) only require grad for structure: TODO check diffusion grad - grad_gamma_t = torch.autograd.grad(gamma_t.sum(), t, create_graph=True)[0] - else: - grad_gamma_t = None - gamma_t = gamma_t.detach() - alpha_t = torch.sqrt(torch.sigmoid(-gamma_t)) - sigma_t = torch.sqrt(torch.sigmoid(gamma_t)) - noise = remove_mean(torch.randn_like(x), mask) - z_t = alpha_t.view([-1] + [1]*x.size(0)) * x \ - + sigma_t.view([-1] + [1]*x.size(0)) * noise - return z_t, gamma_t, noise, grad_gamma_t - ### + def q(self, x, seq, t, noise_z, noise_seq, batch): """ - (NN) (TODONE:q process in Genie) Forward noising step on structure x """ - - #noise x residue_inv_extra_mask = batch["residue_inv_extra_mask"] residue_extra_mask = batch["residue_extra_mask"] - - z_t = self.sqrt_alphas_cumprod[t][:,None, None].to(self.device) * x + \ self.sqrt_one_minus_alphas_cumprod[t][:,None, None].to(self.device) * noise_z - - seq_t = self.sqrt_alphas_cumprod[t][:,None, None].to(self.device) * seq + \ - self.sqrt_one_minus_alphas_cumprod[t][:,None, None].to(self.device) * noise_seq ## (NN) used to be 1 None + self.sqrt_one_minus_alphas_cumprod[t][:,None, None].to(self.device) * noise_seq seq_t = residue_extra_mask.unsqueeze(-1) * seq + residue_inv_extra_mask.unsqueeze(-1) * seq_t t1 = (t - 1).clamp(min = 0) seq_t1 = self.sqrt_alphas_cumprod[t1][:,None, None].to(self.device) * seq + \ - self.sqrt_one_minus_alphas_cumprod[t1][:,None, None].to(self.device) * noise_seq ## (NN) + self.sqrt_one_minus_alphas_cumprod[t1][:,None, None].to(self.device) * noise_seq return z_t, seq_t, seq_t1, t1 @@ -613,31 +495,26 @@ def diffusion_loss(self, batch, x, mask, t): noise_z = remove_mean(torch.randn_like(x), mask) noise_seq = remove_mean(torch.randn_like(seq), residue_mask) z_t, seq_t, seq_t1, t1 = self.q(x, seq, t, noise_z, noise_seq, batch) - noise_pred, seq_pred = self(batch, z_t, seq_t, mask, t) # (NN): not noising sequence - - # noise_seq_t1 = remove_mean(torch.randn_like(seq), residue_mask) + noise_pred, seq_pred = self(batch, z_t, seq_t, mask, t) seq_pred_t1 = self.sqrt_alphas_cumprod[t1][:,None, None].to(self.device) * seq_pred + \ - self.sqrt_one_minus_alphas_cumprod[t1][:,None, None].to(self.device) * noise_seq #noise_seq_t1 + self.sqrt_one_minus_alphas_cumprod[t1][:,None, None].to(self.device) * noise_seq diff_loss = ( 1 - # 0.5 - # * grad_gamma_t * einops.reduce( mask.unsqueeze(-1) * torch.square(noise_pred - noise_z), "b i xyz -> b", "sum", ) ) - # torch.log_softmax(output, dim=1), torch.softmax(target, dim=1) diff_loss += ( F.kl_div( torch.log_softmax(seq_pred_t1, dim = -1) * residue_mask.unsqueeze(-1), torch.softmax(seq_t1, dim = -1) * residue_mask.unsqueeze(-1), reduction = "none" - ) #* mask.unsqueeze(-1) + ) ).sum() seq_pred = (seq_pred + 1)/2 @@ -645,17 +522,13 @@ def diffusion_loss(self, batch, x, mask, t): F.cross_entropy(seq_pred.view(-1, len(RESIDUE_TYPES)+1), batch["residue_type"].view(-1), reduction="none", ignore_index= 0 )* mask.view(-1) - ).sum() ## (NN); index of 0 + ).sum() return diff_loss def training_step(self, batch, batch_idx): if not self.setup_schedule: self.run_setup_schedule() self.setup_schedule =True - - # if not self.setup_esm: - # self.run_setup_schedule() - # self.setup_schedule =True batch = self.prepare_batch(batch, batch_idx) x = batch["x"] @@ -663,7 +536,7 @@ def training_step(self, batch, batch_idx): batch_size = x.size(0) num_nodes = einops.reduce(mask > 0.5, "b i -> b", "sum") t = torch.randint(0, self.num_steps, size=(batch_size,)).to(self.device) - diff_loss= self.diffusion_loss(batch, x, mask, t) ##(NN) + diff_loss= self.diffusion_loss(batch, x, mask, t) loss = torch.mean(diff_loss / num_nodes) self.log( "train_loss", diff --git a/ProteinReDiff/models/AF2_modules.py b/ProteinReDiff/models/AF2_modules.py index e03a667..7d10b2e 100644 --- a/ProteinReDiff/models/AF2_modules.py +++ b/ProteinReDiff/models/AF2_modules.py @@ -1,10 +1,28 @@ +# This file is adopted from DeepMind Technologies Limited. +# +# Copyright 2021 DeepMind Technologies Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# The Modules are adapted from Pytorch implementation of AF2 from +# OpenFold from https://github.com/aqlaboratory/openfold + import math import torch import torch.nn as nn from scipy.stats import truncnorm import numpy as np -# from .attention_core import attention_core from typing import Optional, Callable, List, Tuple, Sequence DEFAULT_LMA_Q_CHUNK_SIZE=1024 @@ -384,20 +402,13 @@ def __init__( self.layer_norm_m = LayerNorm(self.c_in) - # self.layer_norm_z = None - # self.linear_z = None if self.pair_bias: - self.linear_z = nn.Sequential( ## (NN) + self.linear_z = nn.Sequential( LayerNorm(self.c_z), Linear( self.c_z, self.no_heads, bias=False, init="normal" ) ) - # self.linear_z_rev = nn.Sequential( - # LayerNorm(self.no_heads), - # Linear( - # self.no_heads, self.c_z, bias=False, init="normal" - # )) self.mha = Attention( self.c_in, @@ -440,123 +451,27 @@ def forward(self, # self.layer_norm_z is not None and # benefit of self.linear_z is not None # TorchScript ): - chunks = [] - - # for i in range(0, z.shape[-3], 128): ## (NN) - # z_chunk = z[..., i: i + 128, :, :] - - # # [*, N_res, N_res, C_z] - # z_chunk = self.layer_norm_z(z_chunk) + z = self.linear_z(z) - # # [*, N_res, N_res, no_heads] - # z_chunk = self.linear_z(z_chunk) - - # chunks.append(z_chunk) - - # z = torch.cat(chunks, dim=-3)#.mean(0) - - # z = z + self.layer_norm_z(z) - z = self.linear_z(z)#.mean(0) - - # b_ij^h [*, 1, no_heads, N_res, N_res] - # z = permute_final_dims(z, (2, 0, 1)).unsqueeze(-4) # mask_bias [*, N_seq, 1, 1, N_res] # b_ij^h [*, N_seq, no_heads, N_res, N_res] z = permute_final_dims(z, (0, 3, 1, 2)) - biases = [] #[mask_bias] ## (NN) + biases = [] if(z is not None): biases.append(z) - m = self.layer_norm_m(m) ## (NN) - m = m + self.mha( ## (NN) + m = self.layer_norm_m(m) + m = m + self.mha( q_x=m, kv_x=m, biases=biases ) - #reverse - # z = permute_final_dims(z, (0, 2, 3, 1)) - # z = self.linear_z_rev(z) + return m - -class OuterProductMean(nn.Module): - """ - Implements Algorithm 10. - """ - - def __init__(self, c_m, c_z, c_hidden, eps=1e-3): - """ - Args: - c_m: - MSA embedding channel dimension - c_z: - Pair embedding channel dimension - c_hidden: - Hidden channel dimension - """ - super(OuterProductMean, self).__init__() - - self.c_m = c_m - self.c_z = c_z - self.c_hidden = c_hidden - self.eps = eps - - self.layer_norm = nn.LayerNorm(c_m) - self.linear_1 = Linear(c_m, c_hidden) - self.linear_2 = Linear(c_m, c_hidden) - self.linear_out = Linear(c_hidden ** 2, c_z, init="final") - - def forward(self, - m: torch.Tensor, - mask: Optional[torch.Tensor] = None): - """ - Args: - m: - [*, N_seq, N_res, C_m] Single representation embedding - mask: - [*, N_seq, N_res] Single representation mask - Returns: - [*, N_res, N_res, C_z] pair embedding update - """ - if mask is None: - mask = m.new_ones(m.shape[:-1]) - - # [*, N_seq, N_res, C_m] - ln = self.layer_norm(m) - - # [*, N_seq, N_res, C] - mask = mask.unsqueeze(-1) - a = self.linear_1(ln) - a = a * mask - - b = self.linear_2(ln) - b = b * mask - - del ln - - a = a.transpose(-2, -3) - b = b.transpose(-2, -3) - - # [*, N_res, N_res, C, C] - outer = torch.einsum("...bac,...dae->...bdce", a, b) - - # [*, N_res, N_res, C * C] - outer = outer.reshape(outer.shape[:-2] + (-1,)) - - # [*, N_res, N_res, C_z] - outer = self.linear_out(outer) - - # [*, N_res, N_res, 1] - norm = torch.einsum("...abc,...adc->...bdc", mask, mask) - norm = norm + self.eps - - # [*, N_res, N_res, C_z] - outer = outer / norm - - return outer class OuterProductUpdate(nn.Module): """ @@ -613,22 +528,14 @@ def forward(self, del ln - # a = a.transpose(-2, -3) - # b = b.transpose(-2, -3) - # [*, N_res, N_res, C, C] - # outer = torch.einsum("...bac,...dae->...bdce", a, b) - # outer = torch.einsum("...abc,...ade->...abdce", a, b) outer = torch.einsum("...abc, ...adc->...abdc", a,b) - # [*, N_res, N_res, C * C] - # outer = outer.reshape(outer.shape[:-2] + (-1,)) # [*, N_res, N_res, C_z] outer = self.linear_out(outer) # [*, N_res, N_res, 1] - # norm = torch.einsum("...abc,...adc->...bdc", mask, mask) norm = torch.einsum("...abc,...adc->...abdc", mask, mask) norm = norm + self.eps @@ -637,84 +544,7 @@ def forward(self, return outer -class OuterProductMeanModified(nn.Module): - """ - Implements Algorithm 10. - """ - - def __init__(self, c_m, c_z, c_hidden, eps=1e-3): - """ - Args: - c_m: - MSA embedding channel dimension - c_z: - Pair embedding channel dimension - c_hidden: - Hidden channel dimension - """ - super().__init__() - - self.c_m = c_m - self.c_z = c_z - self.c_hidden = c_hidden - self.eps = eps - self.layer_norm = nn.LayerNorm(c_m) - self.linear_1 = Linear(c_m, c_hidden) - self.linear_2 = Linear(c_m, c_hidden) - self.linear_out = Linear(c_hidden**2, c_z, init="final") - - def forward(self, - m: torch.Tensor, - mask: Optional[torch.Tensor] = None): - """ - Args: - m: - [*, N_seq, N_res, C_m] Single representation embedding - mask: - [*, N_seq, N_res] Single representation mask - Returns: - [*, N_res, N_res, C_z] pair embedding update - """ - if mask is None: - mask = m.new_ones(m.shape[:-1]) - - # [*, N_seq, N_res, C_m] - ln = self.layer_norm(m) - - # [*, N_seq, N_res, C] - mask = mask.unsqueeze(-1) - a = self.linear_1(ln) - a = a * mask - - b = self.linear_2(ln) - b = b * mask - - del ln - - # a = a.transpose(-2, -3) - # b = b.transpose(-2, -3) - - # [*, N_res, N_res, C, C] - # outer = torch.einsum("...bac,...dae->...bdce", a, b) - outer = torch.einsum("...abc,...ade->...abdce", a, b) - # outer = torch.einsum("...abc, ...adc->...abdc", a,b) - - # [*, N_res, N_res, C * C] - outer = outer.reshape(outer.shape[:-2] + (-1,)) - - # [*, N_res, N_res, C_z] - outer = self.linear_out(outer) - - # [*, N_res, N_res, 1] - # norm = torch.einsum("...abc,...adc->...bdc", mask, mask) - norm = torch.einsum("...abc,...adc->...abdc", mask, mask) - norm = norm + self.eps - - # [*, N_res, N_res, C_z] - outer = outer / norm - - return outer def _lma( diff --git a/ProteinReDiff/models/utils.py b/ProteinReDiff/models/utils.py index 05f1707..7db887f 100644 --- a/ProteinReDiff/models/utils.py +++ b/ProteinReDiff/models/utils.py @@ -1,3 +1,22 @@ +# This file is adopted from DeepMind Technologies Limited. +# +# Copyright 2021 DeepMind Technologies Limited +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# The Modules are adapted from Pytorch implementation of AF2 from +# OpenFold from https://github.com/aqlaboratory/openfold + import json import math diff --git a/ProteinReDiff/modules.py b/ProteinReDiff/modules.py index ea4eb00..b8f6f9d 100644 --- a/ProteinReDiff/modules.py +++ b/ProteinReDiff/modules.py @@ -1,3 +1,20 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand + +ProteinReDiff includes significant innovations including: +- Stochastically masking & featurization of protein sequences +- Adaptations of Single Representation Attention and Outer Product Mean from AF2 +- Parameterization of \beta_T diffusion (instead of using variational lower bound in DPL) +- Denoising through both sequence and structure spaces +- Flexible generation output (sequences only, sequence-structures) + +""" + import math from typing import Callable, Optional, Tuple, Union, Mapping from argparse import ArgumentParser, Namespace @@ -355,20 +372,6 @@ def __init__( self.opm = AF2_modules.OuterProductUpdate(c_m = self.single_dim, c_z = self.pair_dim, c_hidden = self.single_dim//4) - # self.GVPEncoderBlock = gvp_modules.GVPEncoder(args) - - # self.embed_gvp_vect = nn.Sequential( - # nn.LayerNorm(3, elementwise_affine=False), - # Linear(3, 1, bias=False, init="relu"), - # ) - - - - - ##TODO: embed beta in the future - # self.embed_beta = nn.Sequential( - # Linear(1, self.pair_dim, bias=False, init="normal"), - # ) self.folding_blocks = nn.ModuleList( [ FoldingBlock( @@ -386,83 +389,16 @@ def __init__( def forward(self, batch, z, t, single, pair, cache): - # atom_feats = batch["atom_feats"] - # atom_mask = batch["atom_mask"] - # bond_feats = batch["bond_feats"] - # bond_mask = batch["bond_mask"] - # atom_pos = batch["atom_pos"] - # bond_distance = batch["bond_distance"] - # residue_type = batch["residue_type"] residue_mask = batch["residue_mask"] - # residue_esm = batch["residue_esm"] - # residue_chain_index = batch["residue_chain_index"] - # residue_index = batch["residue_index"] mask = batch["residue_and_atom_mask"] - # single = single.half() - # pair = pair.half() - mask_2d = mask.unsqueeze(-1) * mask.unsqueeze(-2) - - - - # node_embeddings, cache = self.GVPEncoderBlock(batch, z, single, cache) - # single, vector_embedding = node_embeddings - - # dist_embedding = ( - # (vector_embedding - vector_embedding.squeeze().unsqueeze(-3)).norm(dim=-1) ## (NN) remove norm - - # ) - - - - ## Vector projection - # pair += mask_2d.unsqueeze(-1) * ( - # self.embed_gvp_vect(dist_embedding).unsqueeze(0).squeeze(-1) - # ) - - - - ## Vector norm - # pair += mask_2d.unsqueeze(-1) * ( - # dist_embedding.unsqueeze(0) - # ) - - # single += mask.unsqueeze(-1) * ( - # single_update - # ) - - # single = self.SPAAttnBlock(single, pair, mask) - - ##### OPM with SPA - - # for i in range(self.n_recycles): - # single = self.SPAAttnBlock(single, pair, mask) - # pair = self.opm(single, mask)#.unsqueeze(0) - ### - # pair += mask_2d.unsqueeze(-1) * ( - # self.opm(single, mask)#.unsqueeze(0) - # ) - # single = self.SPAAttnBlock(single, pair, mask) - pair += mask_2d.unsqueeze(-1) * ( - self.opm(single, mask)#.unsqueeze(0) + self.opm(single, mask) ) single = self.SPAAttnBlock(single, pair, mask) - - - - #### - # single = singles/self.n_recycles checkpoint_fn = checkpoint if pair.requires_grad else lambda f, *args: f(*args) for block in self.folding_blocks: single, pair = checkpoint_fn(block, single, pair, mask) - # single, pair = block(single, pair, mask) pair = 0.5 * (pair + einops.rearrange(pair, "b i j h -> b j i h")) - - - - - # pair = pair - # single = single return single, pair, cache \ No newline at end of file diff --git a/ProteinReDiff/mol.py b/ProteinReDiff/mol.py index cea91be..71e8048 100644 --- a/ProteinReDiff/mol.py +++ b/ProteinReDiff/mol.py @@ -1,3 +1,20 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand + +ProteinReDiff includes significant innovations including: +- Stochastically masking & featurization of protein sequences +- Adaptations of Single Representation Attention and Outer Product Mean from AF2 +- Parameterization of \beta_T diffusion (instead of using variational lower bound in DPL) +- Denoising through both sequence and structure spaces +- Flexible generation output (sequences only, sequence-structures) + +""" + import copy from pathlib import Path from typing import Union diff --git a/ProteinReDiff/tmalign.py b/ProteinReDiff/tmalign.py index 39bf5f9..a739e10 100644 --- a/ProteinReDiff/tmalign.py +++ b/ProteinReDiff/tmalign.py @@ -1,3 +1,14 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand + + +""" + import itertools import os import subprocess diff --git a/ProteinReDiff/utils.py b/ProteinReDiff/utils.py index 89de057..617e5a1 100644 --- a/ProteinReDiff/utils.py +++ b/ProteinReDiff/utils.py @@ -1,3 +1,20 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand + +ProteinReDiff includes significant innovations including: +- Stochastically masking & featurization of protein sequences +- Adaptations of Single Representation Attention and Outer Product Mean from AF2 +- Parameterization of \beta_T diffusion (instead of using variational lower bound in DPL) +- Denoising through both sequence and structure spaces +- Flexible generation output (sequences only, sequence-structures) + +""" + from typing import Tuple import einops diff --git a/README.md b/README.md index dc2415e..f33b306 100644 --- a/README.md +++ b/README.md @@ -3,9 +3,25 @@ ![Equivariant-Diffusion](Equivariant-Diffusion.png) Contributors: -* Nhan Nguyen -* Duy Nguyen -* Truong Son Hy (Correspondent / PI) +* Nhan Nguyen +* Duy Nguyen +* Truong Son Hy (Correspondent / PI) + +**The architecture of the code draws inspiration from DPL (Diffusion model for Protein–Ligand complexes) developed by Nakata, S., Mori, Y. & Tanaka, S. End-to-end protein–ligand complex structure generation with diffusion-based generative models. BMC Bioinformatics 24, 233 (2023). https://doi.org/10.1186/s12859-023-05354-5** + +The main functionalities from DPL include, but not limited to: +- Featurization of ligand SMILES +- SE3 equivariant denoising (Triangular Multiplicative Updates) +- Training process and generation scripts + +The main innovations we made away from DPL, but not limited to: +- Stochastically masking & featurization of protein sequences +- Adaptations of Single Representation Attention and Outer Product Mean from AF2 +- Parameterization of \beta_T diffusion (instead of using variational lower bound in DPL) +- Denoising through both sequence and structure spaces +- Flexible generation output (sequences only, sequence-structures) + + ## Setup Environment Clone this repository and install dependencies: @@ -113,3 +129,13 @@ python train.py \ --no_cb_distogram \ --save_dir "workdir/train/reproduce_ProteinReDiff" ``` + +## Acknowledgements + +This work is primarily based on the following repositories: + +- https://github.com/shuyana/DiffusionProteinLigand (modules, training, inference scripts) +- https://github.com/aqlaboratory/openfold (AF2 modules) +- https://github.com/deepmind/alphafold (AF2 modules, protein sequence procesing) +- https://github.com/facebookresearch/esm (protein featurization) +- https://github.com/HannesStark/EquiBind (partitions of train/validation/test sets) \ No newline at end of file diff --git a/data/PRD_test_pdb_ids b/data/PRD_test_pdb_ids new file mode 100644 index 0000000..539ce09 --- /dev/null +++ b/data/PRD_test_pdb_ids @@ -0,0 +1,1108 @@ +6d08 +6np2 +6oxq +6oio +6moa +6e4c +6g24 +6s55 +6seo +5zk5 +6jid +6qlu +6a6k +6qgf +6te6 +6g2o +5zxk +6qxd +6oy1 +6n96 +5zk7 +6k3l +6cjs +6gge +6hot +6e3p +6npp +6g2f +6mo7 +6bqd +6nsv +6i76 +6n53 +6g2c +6eeb +6n0m +6olx +6v5l +6efk +6oxt +6oy0 +6cyg +6g27 +6ggb +6g3c +6fcj +6quv +6i74 +6rnu +6jib +6izq +6qw8 +6e5s +6e6w +6cyh +6gga +6pgp +6qtq +6gj6 +6os5 +6i77 +6oxx +6hor +6i68 +6mhb +6i78 +6oxy +6mo0 +6ggf +6qge +6cjr +6oxp +6d07 +6i63 +6ten +6qlr +6sen +6oxv +6g2b +5zr3 +6e6v +5zk9 +6pnn +6nri +6npi +6oip +6s57 +6p8x +6hoq +6qts +6ggd +6pnm +6oy2 +6mhd +6hhr +6p8z +6c85 +6g5u +6j06 +6qsz +6np5 +6qlp +6qls +6st3 +6s56 +6k05 +6e3m +6qtx +5zjy +6o3y +6rpg +6rr0 +6gzy +6qlt +6o3x +5zjz +6i8t +6oiq +6nrh +6m7h +6o5u +6jwa +6ny0 +6ftf +6oxw +6jon +6mo8 +6qln +6i66 +6d3z +6oxr +6hou +6py0 +6qlq +6n4b +6i8m +6oxs +6cjj +6ffg +6a73 +6a1c +6oxu +6qtw +6np4 +6hv2 +6n55 +6e3o +6sfc +6qi7 +6k04 +6n8x +6np3 +6pgo +6i75 +6i62 +6g29 +6mo9 +5zml +6i65 +6e7m +6i61 +6qtm +6qlo +6oie +6nrf +6gj5 +6d3y +6oir +6d40 +6e6j +6i7a +6g25 +6oin +6oxz +6hop +6nrj +6op9 +6pno +6a87 +6oim +6cjp +6pyb +6mhc +6nrg +6fff +6jut +6g2e +6os6 +6dql +6i67 +6quw +6npm +6i64 +6e3n +6nxz +6gj7 +6hbn +6tel +6p8y +6t6a +6o5g +6r7d +6pya +6ffe +6d3x +6gj8 +6mo2 +2zyc +4egs +2cwr +4wfq +4zpj +4mdb +2bg5 +2avn +4r6g +1ted +1eej +2coe +1bh9 +1sc6 +4axv +2j8g +3wx4 +2i7a +1rki +5b1h +1af7 +1iko +1arb +5tr9 +1c8n +1uw4 +1dv8 +1c16 +2ess +4dy0 +1xmk +2hd0 +2q6f +2vgx +5i0q +2bwj +3ef0 +2b8e +1yoe +2y39 +3bh7 +4ezi +2db0 +2x26 +1bqb +2vhh +4fp8 +1v05 +1d4v +1xx1 +2vlb +2fyx +4ewf +1p8j +1dbq +1d0q +5eid +1otk +4pxc +1ii5 +3b9o +3gp9 +5cr4 +3c3w +2gre +5jff +4wso +4eij +2mqk +2wbf +1puj +1qxm +2ae8 +3wra +5b3k +2q2r +3msr +1ail +1ywm +3ceu +2rkt +2opi +2zca +4zqm +3bdv +4uf7 +3kda +1s7i +1iqc +1lgh +4zzf +3bu2 +3ggd +2kdg +3l49 +1gqy +2wp4 +3s6i +1t5r +3k2n +1dli +4q9c +3gve +2prv +2p11 +4g2s +2m8g +4ml1 +2aaa +1qto +1wy0 +4kdc +1pjc +3i4k +4lwo +3g2f +2iyv +5eqj +4euk +1n3k +2eqa +3sxs +5f5l +4yi7 +1s1q +1plq +2rai +4cp8 +3gi7 +3qil +3op0 +2bcq +2nql +3x0u +2b5x +4c1u +1csb +3ke8 +2yna +2jh1 +4by2 +2cd9 +4n3t +3vep +5e3i +3nr7 +1v37 +1u6p +2ls8 +2zds +2kuc +1kcq +5ekd +2oi8 +1v7p +3sz6 +1byu +2j6p +5buv +4azz +4l3r +3ikb +1wxp +1cix +3m8e +3hdi +1uct +5l9a +4joq +3qll +1t5o +3fkf +2ba1 +1qj8 +2ojh +2qlt +1wcw +2l9p +2ivx +3r8e +3dul +2vma +2i5q +2c4i +2r7h +1dvk +1l1q +3c3m +1hgx +2hkv +3ego +2yqz +2mqa +1tx9 +1w2y +1t23 +3czh +1yn9 +1okc +3goa +1a91 +2krb +4r8o +2vxg +2ky4 +3nrf +2por +4nao +1mjh +1u2p +2b0h +4jgx +4k71 +5j9b +2pkh +2a4a +2ykf +4jhc +4eyy +1auu +2pqv +4ayb +1n7h +5axm +2zsk +1twu +3gnn +3io1 +1fyv +2uyo +3m62 +2wqm +3if2 +4n40 +1axi +1ug3 +3cio +4m0g +2d7e +1jli +2eef +3h5k +5iz7 +3mdp +4nmy +2cxi +2gxg +4it7 +3hgq +4lnj +3kh5 +3hh0 +2w4y +4it4 +4n06 +2qma +2jzv +1o57 +1rhx +3l6a +1t82 +2iml +3syy +3l5z +5i1u +2d9o +1am7 +3kop +3oes +4pkl +2qup +1z41 +2l2m +3iwg +1aj3 +1bxv +1d2n +3ehd +3rp9 +1y44 +3i3y +1bmt +2zcx +2r6i +2pmz +2ql2 +3n2q +3gyb +4of0 +1zd9 +2akk +3s95 +3td3 +2mcm +2iaz +4er8 +1hs7 +2vch +4ivn +3u9j +2k3n +1j71 +4n0h +1jbj +2lhr +3bln +1td5 +2g8s +2i6l +1ypr +1wey +1jsu +1nxz +2jqj +1o70 +1st0 +3nze +3lyg +3c1o +3ray +1bf0 +1olr +1dxh +2dhx +4nzr +3k8p +2v7q +1tu3 +1mc2 +4ihz +2ep8 +4k73 +1e9i +2bl2 +4kib +1p9e +4ri0 +2uv0 +2xbl +1ogl +4c47 +2we7 +3biq +2fp4 +1vi7 +1ydu +3gkf +2q0l +5egn +1ith +2w5n +4ifs +1v92 +2qrr +5hj9 +4mqd +1k12 +2e0g +4f55 +1gqp +3pro +1cm8 +1t3o +3d8d +2r4r +3vxk +4j0w +3u3l +2c1l +1tex +2edx +1s67 +5t1d +4zm3 +3nc3 +2b0l +3d5n +1pym +5jo9 +3jva +3mwb +2ims +1ut7 +1uxb +2rp5 +4dj3 +2hvz +2j4b +1jhe +3h5e +2afc +5elm +2pqx +3au0 +3k3c +1h9f +3cnv +1mo7 +3t91 +3jxf +2lns +2jem +2b0f +3dnp +2x9z +1zo0 +2gee +2xh6 +2krx +2xbz +4bof +5f7v +4z7e +3tpf +2du9 +3qfm +2b9d +4k15 +1toa +1q25 +2czs +1hq0 +1l0q +2d6f +2ijl +2llv +3thp +2ns5 +2if2 +3e66 +1f15 +3ira +1mt1 +5hwe +4qbn +3sjr +5c33 +3kep +1fkm +2nrq +2keo +1li5 +4epz +1zu4 +4les +4ioy +4efa +1sq4 +5b5s +2fek +3ua0 +3mdq +4nj8 +1bo9 +1cvj +4kb2 +1tmx +2enk +3v8j +4k05 +4jph +5f2k +2fbj +1txg +1e8p +3e0j +1hsk +2zpl +2npb +4it1 +2m5r +1ci0 +2plc +1ps6 +1xti +4ymp +1bhe +2ll3 +1q14 +2cm5 +2m9n +2o8p +3qm2 +2bgh +5i92 +4a6d +2fyw +2knc +2r19 +2x8a +2jmi +2kwl +1zyi +2vvk +3loo +1tjn +1bix +1x74 +4da9 +4o2t +1wvi +3r7t +1wfr +2f51 +4ljs +2gdq +4ax2 +5fsz +4gio +4b8w +2jxt +1ng4 +1e3o +2afs +2v72 +4oum +1jdw +4m4z +3sc6 +2vjw +2hx1 +3hzq +2yu1 +3ilf +2npi +1iwl +4ofq +4uyp +1fl2 +3cjs +1q8r +2rqy +4yoz +3kzn +1u3o +1erj +3tmm +5cw7 +2rrk +2woj +1tr0 +3usy +1d8j +1px5 +2bkw +4k84 +4cgs +1yhp +3lur +3lmk +4ttr +2hta +1blx +2dsr +2mzs +4gdo +1wrd +1xfc +3hyu +5c9b +3r89 +2khe +3ef6 +4b7x +1rkt +3ffr +3uxj +3l0m +3s5w +2nvm +1ccw +1wzv +2hx5 +3jrt +1qvv +3jxo +4hkj +3bf5 +2qby +4jcs +2kiv +2hfs +4k36 +3hz2 +1b4e +2ija +1ztp +1t0i +2a35 +1nyt +1szi +2vou +3ygs +2hzm +1i1r +4b6m +3ghf +4paf +4eg9 +4q9a +5bu9 +4jaq +3qvj +2v89 +2wao +3p3y +1e3j +4yhe +3gvz +3rpw +2kva +2x5n +1w9a +2fe1 +3b73 +4iik +3pp9 +3qwl +2i8b +3pea +2i2c +1wil +2w59 +1n0e +4ekf +4bn4 +2csx +1z67 +3fzz +2kc6 +1ebl +2rnn +2msw +3ir9 +3le4 +3lzk +3bd1 +2r2j +3io3 +1eji +1ymg +1vkf +4o30 +2fyj +3d02 +4p98 +4qvg +3exn +4hn3 +1cqx +2rpa +2wbr +1wud +1vhe +1mix +2wl8 +2cwo +1m33 +4fz2 +3vkj +4p2q +2m3e +4qtt +2d4r +2qxf +2kmu +3dmc +2ewc +4ifd +1vkz +3vc5 +2ef5 +3ced +4rfs +3rd7 +3tma +2wnk +4e5y +4iej +1bxw +2ns0 +1t16 +3cnh +1wly +3sim +4mc3 +2x2v +4hhe +3o7q +1brw +2kt9 +5c94 +5dvh +1jad +1tr9 +3bh0 +4g1u +1kl3 +2reo +2uui +5fui +3tvz +3znu +1ueq +3fav +3gqh +1z2i +2fbi +3rwn +2ftz +1ya5 +3pf7 +2l7x +4by7 +4iqy +3lrx +4gs7 +2yzi +3g12 +2yn0 +2oer +2ymm +3d4t +2pt5 +2be4 +3fga +3ep6 +2kbz +2pkd +3c0w +1lld +2arz +2dgm +1ss6 +4per +1i94 +3llt +1nlr +1elk +1egg +2pn2 +3tow +3q9l +1qwz +3dxy +4jz5 +1xkt +2b8m +3fym +1czj +3ccf +1kzl +2yuy +3pt5 +3gp6 +3b8o +3md7 +3vu9 +2oa2 +1v64 +3ey5 +2z0l +4xcv +1m61 +1g8e +4me2 +3htu +5dk5 +1qbz +4fxt +4h9n +4u0w +4a1r +1u7l +3nrg +3voq +4hpv +2otn +2yx0 +2lhf +2z4d +2wst +3u1d +1j6w +3r6a +4zev +1s5p +2wql +3zdu +3rst +2aja +3c5m +5agu +2lce +2dba +3upd +1r8g +5l07 +2i4s +2hlr +1bd3 +2zdj +5ao9 +4rdb +3bcg +1gu7 +4msx +2xb4 +3apu +1ysq +3ir3 +2w0m +2h3r +1bt3 +1vhs +3vbc +4ap9 +1okj +3abq +2cpi +2c54 +3b8a +1a7i +1oj6 +2dyj +1emn +3da7 +2p1g +3qo6 +4pn7 +1t4w +3d1g +1a1t +4xaa +1kjq +2pv0 +3ghm +3p2m +1x47 +4cou +2k1g +1n5d +3goz +4pzu +5dym +2lxd +1jqb +1p9k +3zta +4di1 +2r7k +1mvh +3mkr +2k4y +3a5y +2kon +1hxi +3qz6 +1xi7 +3b85 +2l5q +2aef +2yuu +1xb2 +2og9 +3qsj +1mtp +3f7o +2a4h +3hrl +3r0x +2ru4 +2f4e +2m2d +3im1 +2qwo +3d59 +3ixq +3wxy +3ka7 +3onj +3kos +1wlz +3fse +1pko +3fk5 +2vuv +3agt +2xbt +4amb +1b0u +1i7w +3n5m +4pj2 +4hwh +2dgz +4a1n +3dkw +3fd0 +2kp7 +2l3m diff --git a/data/PRD_train_pdb_ids b/data/PRD_train_pdb_ids new file mode 100644 index 0000000..e206f69 --- /dev/null +++ b/data/PRD_train_pdb_ids @@ -0,0 +1,25631 @@ +3dpf +2zy1 +5c0m +4q87 +3efw +3s54 +2q55 +3eoc +5svi +2r58 +5d1n +4yqv +3zxh +1ft7 +6b1j +5ema +6gip +3pqz +6eil +4nw7 +4ahr +1p1o +3nzk +1eub +3std +5l8a +5teg +2jq9 +4m5h +4d63 +3shb +4hw3 +6eq5 +3hqy +3zos +6h96 +4lm4 +4lwv +3g30 +5f32 +4dkr +6b4l +4j9a +5w86 +5m51 +1ro6 +5q0m +3bea +2wtd +3sr4 +6dqb +5hh5 +4y0a +5ota +3u5l +3m3o +2w47 +6cec +5wzs +3iu7 +5mky +3ibc +3p76 +4np3 +4kb8 +4tkf +2fai +2xvd +2lzg +3e62 +1p6e +5wqa +6gjr +4yyl +3jzq +4pce +4gvu +4n7g +3s9e +3k3b +1pmn +6cn6 +2btr +1ppk +4zx1 +4zfi +5yso +2rfn +5cep +2xyu +3eou +4gkh +6d1l +4aif +5eec +2qlj +5sy3 +1mhw +3e6y +4wiv +5oot +3po6 +2wo9 +1l2s +3e85 +4jgv +3wcb +2w1h +4x2i +6ggv +1o46 +5f2u +2jnw +5uex +1ndw +4mcd +3r4m +4cps +3gcp +4c2v +2m3z +3m58 +5u6k +4yw6 +3ewh +3gi4 +5yr5 +6fnf +3hx3 +1ol2 +4aa5 +1rry +5jf6 +5wa5 +3nlb +2xu5 +4p6w +2pmc +3byo +5ehe +6c8x +3pp1 +3uev +3qzq +4k67 +1td7 +1hxw +6cbf +5qal +1q8w +5t1s +4tju +2r5p +4pis +3ehy +5erg +2f8i +5wre +3dek +3hp2 +4bcw +4uau +5ap3 +2uw7 +3uvq +6bsx +2ddf +2mwp +1h4n +5f4r +4ybj +4kz8 +2z60 +4ogi +5ufp +4uiw +1bn3 +1u59 +4m5j +5qaa +6h7j +2o7v +5v7t +4mr4 +5am7 +6g35 +1ljt +3srv +2yoh +5tln +3rkb +2ll6 +3qrk +2oaz +3pwk +3ryy +2y7k +2qtn +5n1y +4kot +188l +1sw1 +1zuc +2nnq +4l8m +5j75 +4afe +5nwi +2n06 +3ibl +4l31 +4ruy +5q0x +4zij +3fdn +5fe6 +3nuj +5h8x +5ets +1w3k +3hs9 +3zi8 +5cao +2p3d +3w2p +2iw6 +4o78 +1soj +5g4n +3t4v +5drr +4c4i +2vwx +6miq +6guk +5c3k +5fhn +5kap +4zo5 +2jko +4fcd +4bcf +2qyn +5os5 +1om2 +4luo +1qiw +5f2w +5k0c +3r9o +5qah +3avb +4c52 +1yc4 +4ymq +3dpo +1ec3 +5jmx +4yxi +3iw7 +5igk +4x6i +1wum +1d3d +1x7r +4u82 +6cwh +5qau +3chg +5oh1 +3ayd +5ngf +5wzt +1cyn +6guh +2xb8 +6ap7 +4od7 +5v40 +5wjj +2bow +4igq +3b24 +5a4l +3qd0 +2ohv +3uw5 +6c5q +4e0x +4hbw +4b2i +5tig +5j2x +3fkv +3qnj +5w5o +2cht +5dj5 +5oje +4hxs +5t36 +4eh9 +3kr2 +3rk5 +2b54 +4huo +3zrk +3wb5 +2iw8 +5nwc +5lmb +4i6h +5y6e +5bvn +4lxd +3b3s +5j9f +3jzp +2no3 +5epk +1g7g +4dve +6au2 +4wt6 +3w2q +5tdr +4xx9 +2n27 +5lyn +1p1q +1hi3 +2wih +4ew3 +3ppk +1yvm +1kv2 +4djq +4fz3 +1ze8 +5ia1 +5m9d +2erz +4g0l +3ow6 +1met +3r42 +5tdi +3i97 +1alw +2r5q +2ie4 +5cav +2o7n +5nkn +2g6p +1bnu +3kze +5dg6 +1nym +6cki +4kmz +4ch8 +1txr +6ggn +4qsu +5ety +4otf +5wex +3k54 +4j53 +5dva +1e3v +1c3i +4qrc +3fvn +4xu1 +2o4n +1m5b +1mqi +5n84 +5tq1 +5ye8 +1oxg +4kz5 +5in9 +4avi +220l +3twx +5zo8 +5opc +4q8y +5acy +4rt1 +4mq6 +6ey7 +2ow0 +6f5w +4z1e +5flp +5xsr +2ans +4xuh +2weo +5xpi +4btm +4gye +6bgu +5wlt +5oul +1t49 +1fsw +6c3e +6cj5 +6csr +3hau +3ud9 +6csp +5lqf +4bfz +2xp6 +3sjo +5os3 +4z8d +3kjq +3sl4 +5mgl +5dp5 +3n0h +5fao +4dmy +2xke +4gfo +3t03 +3pd8 +3f18 +4utr +5n1s +2zdt +5dpa +4rt0 +5lud +2wev +3fr5 +4tkh +5tyi +1db1 +1jiz +1gww +4y24 +1fki +3lea +4lch +4qjr +5eb3 +5qad +3cpc +6b22 +1kuk +1xh6 +3eyl +5hng +2anl +4xit +3n2e +2n0u +4f6v +4mc1 +4yc9 +3q6w +5g4m +3pww +5d7x +4cpr +3muf +5f95 +2pk6 +3bet +6cje +5khk +4eh5 +1i9l +1llb +5aep +5csp +5eyk +3u7n +4z0e +5fh6 +5kj2 +2o4k +5llg +3li2 +3of8 +3mvh +5awj +5x73 +2h9m +5byz +5tur +2xxr +2r3w +4u6e +3db8 +3s8o +3x1k +3eg6 +1jaq +3anr +2kfg +5a5v +3nuu +1jh1 +1iy7 +5dlz +4wpf +4qmy +5drq +2gcd +1azg +5cgv +1oi9 +3w1f +5f37 +3b67 +4q8x +5l8o +4li7 +1dth +4gkm +6f3e +4rn4 +3vtb +4lrh +3gtc +1vyf +5a4e +3cyw +3tvx +5mkj +6b4d +5j8x +5tza +1uk1 +1z9y +4hyf +5mg2 +4bcq +1lqf +5htc +2qh6 +4pul +5ap2 +4h81 +3s77 +3s74 +3oyp +6eq3 +4tjw +2mwy +4pzh +4mzj +2xow +3rwq +2kmx +4de7 +5c7c +4pnr +5tkb +5hz8 +5ho7 +5xmx +5fls +3oku +5jr2 +2l98 +2uzj +3f7i +1ex8 +6ft7 +2bdj +5l7g +1cnx +6fnq +5eng +4a6v +3ivv +3s7a +1lhw +5tq8 +4w9x +5lto +4unq +2q88 +5c1m +6bgy +4fil +2qi1 +2x7o +6exj +2xxw +1om9 +1lf2 +4xg4 +3sgx +1sdt +3ow4 +4kp8 +2cem +5nzo +2wwj +2v6n +3ljz +6hm4 +4old +1g5s +3cs8 +5kr0 +2pe0 +3v04 +4e6q +3bys +5jeo +4qna +5eh5 +5ef7 +4hu1 +5v5n +5yr4 +6gl8 +3uvl +3v0l +4nvp +4zyi +3iog +5zwe +4hbn +2gz2 +5tco +4l6t +5m23 +3b5j +1oai +2ath +2ym6 +4i8w +2yi5 +2byi +4f63 +3m3x +2bpm +6fel +4z1s +4fgy +3cyz +6bh1 +2df6 +3jrs +2wmv +6fau +5oah +3aza +4nct +1jqe +4nb3 +4y3b +1okw +1db4 +4n98 +6aoy +5es1 +5nev +5byy +3su2 +4hlf +4c1g +2os9 +4men +4qq4 +5eei +4hnf +3b26 +3dd0 +4v1f +4e6d +5x4n +2pbw +5eym +4e28 +4qtl +5jz9 +2p2a +1v1j +4o3b +5v5e +3byu +7abp +5jga +5jgb +4dtk +1q91 +3cqu +3vhd +4knm +1bgo +1akt +1kyv +1sqn +4oas +5u5l +1v79 +3hp5 +5ivc +3avg +3tws +1rmz +5glu +5f62 +4mha +5etk +4cwq +2f6y +6bic +4p0x +3dxh +1d3q +1yt7 +4tw7 +3b3w +5uoo +2l75 +4l7u +4iut +1pbq +4dow +1owe +6ft3 +2hs1 +6gu6 +4j2c +1s50 +5fox +3jvs +4ozl +1zub +5iuh +5oh7 +5owl +3oof +4ydg +1h08 +1uk0 +2fxs +3f37 +4xtz +4zz3 +5cf4 +3blr +4twc +3zsz +4uuh +6faw +5opv +5q0n +3kfc +3qqs +1oay +5os4 +1r0x +4jwr +1l6m +3nf6 +1nlt +3k16 +5szb +2weg +3dz4 +4jdf +1ttm +3wyy +3fl5 +3fr4 +3o56 +1yrs +2gvv +184l +6gvz +6dik +3u8w +3rxb +2qpq +3nwe +4gpl +4rxz +4qbm +4nh8 +4rra +2ou7 +5tt3 +1uwf +4umq +2l6e +6drg +6ghp +2ksp +1sps +5eom +2itp +4iva +2o9v +4ezw +4nud +3m55 +4x34 +1czo +5fqr +2h6k +3fmr +4kzb +3tpx +4mvh +2nq7 +3n5u +3rjw +3emg +2xm9 +1kzn +5faq +1c6y +4j8g +5lvr +1xuo +2vgo +4uxb +2rol +6hke +5tr6 +3d6o +5awu +6b4n +1t7j +4q7s +5cpr +4fem +1ayu +6co4 +6ck3 +3uzj +6bd1 +2i0j +4hvh +3b4p +5k76 +4yur +1pq6 +1q4w +3zmh +1ftl +3qtf +1g52 +3i4a +2ym7 +5odu +3adu +6cea +3t6y +3d14 +3el4 +4nyf +2y0j +5l7k +5cp5 +3ekr +5mpn +3v43 +1t69 +1oj5 +5lle +5wef +2c6o +5vrl +2ccb +6ce2 +4cfx +3m5e +6eea +2xyn +6br3 +3krl +2rm0 +5q1f +7gch +5hx8 +1h27 +1fkb +1idg +5c8n +3w33 +3rzb +4xg6 +2rib +6dcz +1nlo +3g70 +2ofu +4k6z +5ihc +6bgw +6gji +1tve +5tq5 +4l33 +4avh +5uga +5op6 +4aia +3uuo +5vkm +1wdy +2c3j +2r9m +4c16 +6h7l +3tv6 +2pyn +2bj4 +4abk +3m53 +3cwk +4rvl +1d04 +1ogz +3luo +2ftd +4ran +2xp3 +2vtl +2zm3 +3rxl +1xmy +3uo5 +1q1y +2ql9 +1bhf +2jg8 +2q2n +1heg +4i9i +3ask +4zbf +2io6 +3d1y +4gui +2hy0 +6g9m +3nnx +2v2v +6f5h +5mwh +3k5k +5edi +8cpa +3k99 +1vyg +5ue4 +5enj +5khx +4wq3 +2qbr +1sbr +2f6z +1t4v +3mb7 +4bzn +1efi +3nrm +5yie +5yz7 +4e35 +6di0 +3omm +4z1j +6b98 +4qbb +6fng +5ya5 +5awt +3sv8 +6dlx +4rkx +3h91 +5gso +4j5e +2o22 +3rz0 +5unj +4g17 +6bhv +4nw6 +4qqi +5uff +4lbp +4bqy +4l51 +2yjb +3v49 +3g42 +5xpp +2c4g +4fny +6f8g +4ppc +3lpb +3tlh +3nok +3lfs +3o9h +3we4 +2yig +2kgi +5llc +1fkh +5ogb +1a42 +5web +2llq +2c6l +1lt5 +6hh3 +5nob +1ynd +6hd4 +5ut4 +2wkz +5jvi +4uja +4z83 +6dh8 +3hv7 +2vxj +1a08 +1fgi +5fqs +5a5p +1xur +3b1m +1iwq +5myd +3t6r +2c6e +2gpp +3r0t +6gue +1fh7 +5wae +1tow +5een +5fog +6e9a +5jek +1if8 +5t6g +2fm0 +5eje +1ezf +3mo8 +6bbu +4ejl +4hgs +6b67 +4r4t +1j80 +5ads +6abp +3el7 +6fex +4m5o +3qgw +5t8o +5w84 +3bqn +4pin +2w3o +5yic +4lwh +3vo3 +4unr +4cp5 +1xz8 +5zo9 +2g1r +4xc2 +2z94 +4m12 +6cn5 +3bvb +5x27 +1ddm +3fal +3fzt +5vgi +5jv1 +1py1 +5ktx +4b35 +6dkg +5ei3 +6gbx +4rfd +5b5o +2mwo +4at4 +1ke0 +1zz2 +5hz6 +4m2v +3ozt +3pkd +3ts4 +5q0y +5q1a +5t18 +5c7d +4obp +4k6y +2fb8 +3vbd +4b32 +2qlq +3jzs +3tiz +3zzf +1hpv +5xo2 +1jn4 +4agm +3rwp +6dcy +2brg +5dlx +4g2y +5jzs +5fd2 +3tkm +5ti0 +5lxp +3avi +5zuj +3p3h +5q1i +6b7a +5yp5 +4iuo +4ibk +6fgq +3f81 +4e3f +3t84 +1qb1 +1k2v +2w68 +6gqm +4dfl +4l19 +5ab9 +4qzs +3sqq +1d4l +4dn0 +9hvp +2lko +3aau +1lee +4b34 +3m56 +4i4f +3u7k +4j5d +5iaw +1eou +3vbq +6g5j +5t4u +2zn7 +4n4v +2obo +6b1w +1ru2 +1fh9 +6hh5 +5orz +4xmb +6ekq +5q0i +3h1z +4ura +2pqz +2xjx +5dtq +5bue +4jbl +2yog +4kio +3ued +5mge +2bfq +3mxs +4k1b +4p6g +3td4 +5ien +3lk8 +1rql +5ap1 +4rj8 +6i8b +2nxl +3zm4 +3h0z +4zyf +3e7o +4qjw +3kpu +5oq7 +3h2c +2qnq +1r10 +2l8r +5ega +3rxk +4w9k +5ov8 +5wag +1x8j +6br2 +4owv +5ev8 +6fdc +3tvl +5mlo +4yas +3dcr +2ax6 +6fkp +5aoj +6b95 +5ueu +2g1y +4rlk +5fnj +1izi +4gvm +4xmr +1pme +6gl3 +3qtw +4uua +5kya +3bl1 +3ui2 +2cgv +4ez5 +3t3c +6css +3ezr +5il1 +4y62 +1bcd +4fht +3w9k +3qu0 +1zxc +2vtj +2pu2 +5ive +4ozn +5i2f +6dj7 +4a6w +4q1x +5knr +2izx +4aze +4nrm +5i29 +4mbi +6ht1 +2d1n +1uj5 +3ljt +5osd +5whc +3uwo +3th9 +5n8v +4m5n +1yy6 +3lvp +2gdo +3hyf +2zva +2pt9 +5nxg +5eif +4djr +4apo +5gj9 +1q4x +2vx9 +4keq +2b17 +4kzu +1bdr +4zjr +2c2l +1w4p +1aaq +2q9n +4bea +1szd +5acb +5ne1 +1vj6 +3n5h +3kpv +2hvc +3v0p +2fqw +5jf7 +2n14 +4pp5 +5q15 +3u8h +4erw +3txo +4ir6 +4ufy +6fer +1jij +5td2 +5qap +1h1p +5ni7 +4pf3 +4a6b +4uy1 +2ms4 +4iwz +3t85 +4lpg +5bvw +3hfb +4mr3 +3lq8 +4njd +5tzo +5qa9 +3o23 +5i22 +5u2j +4o72 +4ej8 +1rv1 +5wij +4oq5 +1z4o +2qf6 +3lq5 +3u4h +4mg5 +5ufi +4az2 +4fbx +4emv +4q81 +2fqx +4kza +5k51 +3u4i +5ho8 +3lkz +4ciz +1yy4 +3bmy +3vf5 +6fa2 +4w4s +2nn1 +4e3i +4xg9 +3lik +4aj2 +4jt8 +5std +3h2a +6bjo +3nik +3qce +1wok +5lne +5am6 +5wh6 +3kf4 +4lnp +3el5 +4gm8 +3o6t +2ycm +3cqw +5ot3 +5dp8 +1g53 +4wx7 +1q6t +5opr +5u66 +4gy5 +5mrb +2xml +1c2t +4in9 +4kju +5l6o +3t5i +1dkd +6bkw +2jt5 +3fdt +4wh7 +5i3m +3fck +4ded +4k0u +5a7c +6g9j +3iw6 +4ddk +1icj +6eyt +4z2o +4e3h +3dzt +5e0g +4nrb +4qr3 +5ltn +3omg +4jpa +3fzs +2bmc +2xqq +3kqy +1oiy +5y13 +4d1s +5djp +3bxe +3oy3 +5em6 +5tfx +4d9p +4p1r +5nwz +4bs4 +3oys +1y98 +1nh0 +2h9n +3rxa +5l8c +3rxi +3r00 +5oq5 +4ztn +4a7j +3e3c +5hvt +3lf0 +4jfj +1d4k +5ewk +1gx8 +3g2z +1i7c +5opb +4y85 +6c7q +4lbl +5dgz +3run +4qoc +456c +5twz +4a4h +6gl9 +2hu6 +1x8b +2aoi +5lyr +1mrx +1pf8 +6dj1 +4jss +3tu9 +5cqt +1yds +3hy9 +5y5u +5hm0 +2j9n +5wzw +4i0s +4pmm +4hct +4bj9 +1hqf +3kej +2p8n +5tg1 +1e3g +1t4e +2nns +5al5 +3cr5 +6equ +5fl5 +2yex +5lsh +4fgz +1q6m +5khh +5c85 +1npw +5tbm +4oex +4pjt +1nnu +3c4h +1bky +5ajc +8hvp +4wvs +5hkh +2llo +2jkm +1q6p +5mf6 +4l50 +6evm +4fll +6hx5 +3ivc +6mx8 +4c4g +1w5w +4an9 +3aqt +4l7r +6g07 +6aam +1r78 +6aol +1gcz +3bjc +4qiy +3v30 +3kyq +3unn +5elf +5mpz +4rfr +6upj +5xyy +4wci +2fwz +3v3v +4m8e +4r6e +5ngs +2v77 +3dne +1m5f +2xk8 +1bgq +4lpb +1ocq +4j5c +4awm +1ado +2n3k +2xv1 +5hh6 +4lkt +3n2v +2ieo +1wbo +4mhz +5mmp +3qs8 +2ykj +5igm +4zji +2y76 +6eya +5lch +5gp7 +4qc1 +3sbi +4bsq +1q5l +4i9z +1pbk +3nx7 +4izy +5lvf +4jbp +5icv +2yln +1e2l +1b2i +3w8o +6h2z +2a3i +4twp +5gmu +2mkr +5e89 +3elc +3eb1 +5wlv +4p0v +5two +1mm6 +3c4c +3pd9 +4rx8 +6mim +2k00 +3fr2 +5q0o +5dgw +3tiy +4jxs +5xst +5tpx +5xva +1o49 +2mlm +4alu +4g2f +2xp4 +5aoi +4kbc +1d8m +3m17 +1oh4 +4n7h +3fv8 +4f08 +2p33 +5a5d +3n1v +4j4o +5o1d +3ds4 +4b3b +1sqi +2nmx +4deg +1m48 +5ttf +4man +5ljt +1gyy +3bi6 +1c87 +4byj +6bnh +3qpn +4r4i +3oap +3d1x +4j48 +5vcz +5tzd +4hva +3mvl +6b1c +4e96 +4uvu +3met +5aeh +6dh5 +4mrh +5fqv +5t8q +2p3a +2xk7 +3vw6 +1o42 +5uor +2i4z +4q1d +3qup +1tr7 +5xpn +2aa6 +3pgl +5uir +4ezx +5csw +3ibn +4ag8 +6ceh +2p98 +4yht +3k0k +5neb +4ysi +1a28 +3wha +4nq6 +1ckb +5j6d +3hr1 +4acm +1py5 +4c66 +1sr7 +1rnm +3d25 +1xbc +2x8e +4f09 +5afv +3lqj +2hug +5dnu +2woa +5xvw +3fi3 +1h1s +5y59 +1sdv +5f29 +1efy +4ayy +4ykk +3m6p +3zls +4ff8 +5f6d +2gfs +1c86 +3zvy +3l5r +5l01 +4i7m +3rpr +4i7k +2c1n +4mxc +1akw +5w14 +5lb7 +4ciy +5etm +2pwr +5o1f +4r1e +1my4 +4jib +4nxr +1pdq +2vtp +5dro +4jln +4feq +3gjs +5eef +3ujd +1fkf +5eto +5tys +4eh4 +3djv +3mhm +2pow +2ywp +5uhi +1pxp +1n1g +966c +2of2 +1l0a +1rpa +5etv +1xq0 +3svj +4bw1 +4jof +3jy9 +4irx +3avn +5mm9 +5twl +4w9l +5vfc +4m14 +4c35 +3iob +6apr +6g3v +4cik +2xpb +5thi +5mgm +2c4v +4i8n +5obr +2qyl +2wzx +5j8z +4mdn +5nw0 +5l9o +3bel +4g69 +5ovv +1i9n +1hlk +5hh4 +2hhn +5v13 +2rcx +5zms +2ncz +1a86 +2gfj +5d3j +3dpe +5ldp +4ui5 +3f39 +4owm +1dl7 +3ce3 +4poh +5azg +5l7f +6fh7 +4ifi +6b7e +5lws +3q2h +5ekn +4erk +5fso +5e80 +2bpx +3sc1 +5o4t +2w17 +5nxy +1oy7 +1py2 +4zx0 +4nkt +3s1h +2ym5 +6cis +3hdm +2yj2 +5cu2 +5u2c +3m3e +1yid +1b6k +4gd6 +4ww6 +3eky +2q38 +4jym +2ymt +1njs +4msa +5nk8 +1o4k +3l6h +1i5h +5e1s +6gzd +2eum +6hai +2a14 +4aa4 +4ea1 +3pxz +4n4s +3sie +3pkc +5y8c +2c6m +5v3y +5lzj +5tya +4c9x +4xtm +2brh +4mbf +5d4a +5jiy +1nw7 +3hl7 +5fdc +4pm0 +5n9n +4gj2 +4joj +5klz +2gg7 +4tjy +6ffn +5eq1 +6eis +5t35 +4orx +3fz1 +3rxo +1atl +3zt4 +1bdl +5mob +2igy +4flj +2zu4 +5d6y +4kip +2uw0 +4msg +6f8x +2ydo +1w4q +5okt +5op4 +3al3 +2rvn +4luz +3o87 +1fiv +1uh1 +4g8m +2evc +2q2z +4yyt +5k9w +3fyj +5vh0 +3th8 +4pvo +5hed +5qbv +2oei +4px6 +2knh +5kns +3cm7 +4gcj +1qft +3ztd +4kiq +6ax1 +3zyh +6mx3 +1q8t +4ue1 +3mdz +6fh6 +3tti +5ap6 +4lvt +1xo2 +1pcg +5fiv +5dhj +1haa +3iw8 +5qag +5o1b +3mpt +3ral +3f35 +2oi3 +4bjx +2i0v +4h2m +4agl +2xez +5em7 +3vv6 +4u7v +3rz7 +1a30 +5nz2 +3rf4 +1a9u +3iop +5x4p +3gl6 +2oji +2w05 +3djq +2c9b +5k00 +1t37 +6hdo +2rfh +4bdi +4ikn +1rww +5yum +4hxl +3dbd +4hw7 +3p7i +3r2y +1y2g +3if7 +2hl4 +3ffp +3g6z +3m57 +3s0b +4md6 +4g9c +5tt7 +3pkb +2weh +5gid +3mxc +3diw +5k0i +4npv +2wf5 +4wyz +5hf1 +2aw1 +3dbu +3o9i +4l34 +5j0d +5ew3 +5e0m +5jfu +1o4h +4w9p +6eyb +3mj2 +3k22 +2xxy +5m5q +4aci +5kab +4dpt +4rsk +1rsi +3tb6 +4myd +2i40 +5nhj +5moc +3ds6 +1lt6 +4d1y +5hmh +5nw2 +1k9r +3mxf +4ye3 +4q83 +4gr0 +3uqf +3vha +5ovx +3db6 +3uvn +3h89 +3fv1 +3pwm +4tmp +5ulp +6di1 +4iks +5hg8 +6b1x +3tjd +1jd5 +5km5 +3umx +2ony +1bm2 +2m41 +4z8a +6mwe +1prl +5y1y +2usn +2pv2 +4ijl +3gxy +3f3u +4drm +3cjo +4dst +5c87 +5ni8 +2ll7 +2pem +2x7d +3zc6 +1m2q +4gk2 +3c1x +2az9 +1fv0 +1gfy +5mte +2nxm +2g6q +1t79 +3hdk +3uij +5vl2 +4rn2 +2p4i +1w80 +5vdu +5jgi +4u0i +3g9n +5var +1ws4 +5h21 +2p7z +4j8s +5fdr +6cj1 +5tts +1g49 +1mqd +2qhd +6e4a +3fur +3v1r +4hni +6e83 +3eko +1dmp +4i6q +4p58 +6eq6 +3o0j +5apj +4ty1 +5avf +5k1f +3deh +4xtw +6f0y +5qa4 +4ijp +3wyx +1s5z +1y2h +1c83 +5dts +5e1d +5o4f +3kvx +1d5r +2vyt +4cfv +4hlm +5d48 +3snl +5uwn +2brm +4q7v +5teh +4ymg +2z9g +2rt5 +3gxz +6e0q +6f7b +5dh5 +3k0h +5dt2 +2hd6 +5hbe +4wri +2qi7 +1jao +3gjq +6f8w +5y20 +4ibj +5op2 +2w0s +1c7e +3ni5 +5ntp +4dfu +1o4e +5tl9 +2vpo +4qps +5wdc +3atk +4ms0 +3fzr +1i9m +2y71 +3f33 +5x9p +4pnl +4fmu +3uli +5nlk +3pke +2jdn +3jya +3qkk +6fnj +6fmc +5c0k +4j59 +4eol +5m57 +4efk +1oiq +5dwr +4qf9 +4xj0 +5mwg +2vwu +6dpy +3wi6 +5owf +3nw5 +4fhh +1uye +5j7j +2hz0 +1y1m +5vo1 +6eeo +4r4q +6dq6 +4e3k +5e2k +4py4 +4yk5 +4km0 +5ttu +4ztr +2q93 +2x7t +5lwe +1jbd +1k2i +4yh4 +1flm +1jj9 +4li5 +4jc1 +1lah +1apw +3vbx +4qmu +4qnu +5xvg +4o6w +2zjf +1fls +1ggd +5ofx +4ayv +5jt9 +5ggk +5ep7 +4duh +4ps0 +4drk +3be9 +3wf7 +4pow +4y46 +5izj +1d4j +2avm +1g85 +4oti +1fvv +3uok +5n3v +4a4g +4fak +2rc8 +3kmc +3q2j +3hwn +5i83 +1j4r +4fyh +5g43 +1o48 +6ei4 +6ekd +2k3w +2f8g +2uw3 +6mi6 +3zk6 +5n2f +2qx0 +2f0z +3qvv +2oc1 +1pun +5m4i +5o91 +4xnv +3tay +4c1w +3njq +6guc +4el9 +1iep +3h0e +1bsk +4jg8 +3lbj +1i8h +4a4x +2wa3 +5tcy +5bve +4g34 +5u28 +4ot6 +5n16 +1m5e +4h7q +5vs6 +1pxn +1jqy +4abv +3zsx +2f4j +3f78 +5i38 +3h0w +5d3x +2lbm +6fil +2vk2 +6ew7 +3hlo +1qhc +3v5l +2jql +5hbh +3wf9 +4ieh +2vr3 +4xuz +5knj +2g79 +4w52 +2rnx +4rgd +2az8 +5ick +4lv3 +5a83 +1prm +4gg5 +1rlq +1rq2 +5fbn +4e49 +1f47 +4yfi +4gmy +2hoc +4k0y +5zz2 +1d3p +5hor +3qci +1hmt +4yha +5hoa +1sln +4h3c +4k64 +4lmu +3tf6 +4z2p +5vd1 +3qcf +5ia0 +1eld +1xh9 +4urm +5sz5 +6cdl +5lj2 +2qrl +5nqe +5eyd +6c42 +3ka2 +4p6e +5v8v +2jdv +5e8f +3ud5 +4n70 +1jwt +4cgi +2uw8 +4ivb +2xu1 +4ud7 +2arm +5jin +3fmq +2nt7 +4zwx +4xx3 +4yee +6aak +2xae +5t31 +5llh +5nge +4b9h +3g2s +4led +1j4k +5ku9 +5ykp +4z1n +5sz1 +3twu +5cf6 +4exs +4qpa +2k1q +4eny +4i0r +5fxq +3re4 +2cbr +5ece +5t2t +4n3w +5nxx +5ek9 +2mov +6bid +1tlo +4luv +5gu4 +3wf8 +5ufo +4n5t +5hcx +4v27 +5l96 +1esz +2m3m +5ivf +4auj +2lyb +2w87 +2fgu +2w5g +2vuk +1siv +4ht2 +2ltz +4p0w +3p8p +5ypy +2c5y +1ayv +3erk +6g4y +4ucd +4i7p +5wxg +4bvb +5ugg +2iog +1h1r +5eyc +1ogx +5q0p +3rlq +5itp +4nuc +4w9j +5khj +3okh +3gsm +6dpx +4hvg +1s17 +6arm +2v88 +5lay +3pp0 +3qcq +5mgx +4wq2 +4gxl +2xj2 +4y5h +3zcw +1l8g +4tky +4elh +4pgh +2wuf +2xbp +6gw4 +4jg6 +4eqf +3hbo +4hdf +1yi3 +5edr +4fz6 +1g4j +5kx8 +4qta +1kdw +6euw +6glb +3vh9 +1aku +2f1g +2vfk +2r5a +1g1e +3buf +1bzj +5t6j +4jda +6fo9 +1g74 +3oxi +5t8p +3pcu +1fyr +1fm9 +5hwu +1xud +5ai1 +4e9u +4uyn +5k05 +6fgl +5iha +1wzy +2w85 +3s2v +6dud +1xdg +3rqf +4g93 +3zso +4xjt +5q0u +1qxy +5n20 +1you +4x9v +5tjx +5wii +5wew +1i7m +6at0 +1biw +4uhg +5hvp +1ugy +3ery +5ll4 +1ru1 +2o4l +2evo +2rc9 +2fci +6evq +3rah +3g2v +5ny1 +5vsd +5kcb +4g2l +5qax +5h6v +1pzi +3sax +4nmr +4c1f +5d26 +1elr +2y1d +2uzo +5mqv +4zly +4p0a +4g3g +4wr8 +5win +4hzm +3rqe +4kii +5mw6 +1xap +4zv2 +1ol1 +6bbs +6aaj +5i80 +1hte +1o4l +3kqr +2b07 +3iue +3bxf +1is0 +5a4t +5ktu +3nf8 +2nd0 +5yyz +6fhq +3f3t +3vbv +1g9s +5aut +4u71 +5vb9 +3qtr +4nw2 +3qin +5mzg +5h08 +6ckx +2itk +1pxo +5qao +3le9 +5dtr +4a6s +3bls +1pus +3asx +3mvj +4q3q +3s9t +2r8q +3ri1 +5ih8 +3cjf +3shv +3cpb +4lmn +1zm6 +2kup +6cz3 +3v3b +3vru +2o64 +6ayi +4xu2 +5wzu +5eis +1czr +5wqd +4aw5 +3iqg +4p90 +4n1u +1j5i +5eak +2gfk +3be2 +3ax5 +5qb0 +4llj +5ldk +4eyr +5v3x +4crl +3ddp +4q0a +3el0 +2ica +4yv8 +4jin +5enc +1pb9 +5jur +5n1z +4y8d +5acw +5hrv +2jt6 +3ocb +5er5 +3dz5 +4j8b +5khd +5fho +2f71 +5gmm +3q8h +6bm6 +4qmz +3s73 +4r3b +2w06 +5j74 +2a2g +3i81 +5aol +5hda +3nu3 +6das +5njz +2co0 +5od1 +5u06 +2gnh +3uig +2uw5 +2vrx +1ele +4mh7 +2xkc +2w3l +5w73 +5hip +1fch +2v57 +4a4w +5bmm +3dcw +4i9o +1gvu +1ycm +2l3r +4wnp +4yzn +5hwv +3rlb +1c5f +4fqo +5y93 +5qa6 +4qms +3r92 +3wvm +4qh8 +6dgz +2joa +6gih +5fqt +4o76 +3cm2 +3ion +3fhb +2q94 +6eiz +3ieo +1vsn +2vgp +2pk5 +2f6t +1zfq +5ypo +2nnv +2cej +3hqw +2boj +3bzi +5ut6 +2toh +5ml8 +3t3y +1z4n +4w53 +5cf8 +4hcz +5ul6 +5vio +3jyj +6do4 +4ezo +4q1c +3sk2 +6cdj +4w4w +5lca +3rxf +4q7w +5ceq +2psj +4avt +5nxo +5ory +3nzc +5umw +1ilh +1o4j +2pks +6evp +2yc0 +4xy8 +5iez +5wfz +4at3 +3pd3 +4u68 +2zns +4zvi +3fwv +1exw +2aof +5vfd +3bl0 +3gk1 +3piy +1nlj +4ddy +6bt0 +5l99 +2yk1 +6f28 +1zh7 +5uiu +4eh7 +5epp +5t5g +6b1k +4k75 +5hva +3ips +5a3o +2q89 +5owc +5ggo +1czl +1xlz +5k0b +2nta +4gvc +5fou +1kkq +4u7o +5i4o +4cwr +5fa7 +1i5d +2zg3 +2pmk +3s1g +1wkm +5fe9 +5odx +3sbh +2r43 +4ibb +4o05 +5ggn +2afx +3oki +4xty +1xgi +3mmf +5v1d +2uxz +4xbb +5up0 +2gzl +1oq5 +1b55 +6chl +2q5k +5ti7 +5uqx +6bm5 +4lm3 +2xxn +5lsc +1o0m +4ui7 +1ppl +3ud7 +6gzh +1uu9 +5jgq +2q95 +3v3l +5bvo +5q13 +5tq3 +3gw5 +3rmf +1fhd +2w2u +4flk +2r0y +3da6 +2azb +2bz5 +2oxn +5m3a +3tz0 +3zyu +2pzy +5usy +4cpq +5eld +5gmv +3qbn +6rsa +3u5j +5h1t +5lub +4n99 +3ati +3pd2 +5dhg +2b2v +2gtv +4r75 +1rs2 +2r6w +4agn +4gk4 +4qq5 +1n7t +1ocn +4u79 +3hmm +1ec1 +5f4u +4u5j +4jfk +5kew +4jnc +1nli +3fyk +6f3i +1w3l +3gv9 +4h4e +2fgi +5sz9 +5gjg +2q1q +4aza +5yia +2rny +3m1k +6dj5 +4awf +5oqu +6g9h +4qp7 +5iep +2opy +1bux +5d2a +3g72 +4wz4 +2las +1apv +2v86 +3wdc +3d9m +4kzl +5ixf +1fd7 +5f25 +5js3 +4ceb +4yym +4x7n +3iph +5t37 +3m54 +3szm +2oxx +4mlx +3uxg +3qri +4l0v +1a07 +5qay +4cwo +3r0y +6bgz +1ecv +2kfx +6cjw +5tq7 +5fsc +4btb +5yov +6eox +2pvm +3gn7 +2ql7 +1msm +2bjm +3rt8 +3ds3 +1m13 +3fqe +2m0v +3so9 +4r5b +4bks +4tkj +1jld +1z5m +4lpf +4zls +4af3 +2kvm +5etl +3f6g +2zjw +3sfh +1ong +4rvr +6fnt +5c2h +3sow +3ml2 +1yz3 +1ec2 +3iqj +3ccn +3r1v +3rtf +2pvk +3ppr +3r93 +4x9w +4hdb +1eef +6bln +4wyy +4bw3 +2axi +2w12 +5dy7 +3az8 +4ew2 +3tgs +2ggx +5u00 +4oef +6gjn +1ewj +5al2 +1o4p +2xck +3dcs +2g0h +5adr +1kv1 +6h33 +6h3k +1qq9 +5x4q +2xk3 +3p4f +3tk2 +5heb +4nh9 +5nki +4m8y +6f8r +2x3t +4x0z +4rj6 +3zo4 +2nw4 +5btv +4n3r +5ek0 +4r4c +5cal +4dld +5z89 +5sys +1ybo +2cmo +1k3q +3wv2 +3caj +4l2k +3aya +3gs6 +4b4n +3zyr +4hxm +2ov4 +2jnp +3v7x +1aid +4u8w +5yqn +3g9e +1zsf +5d7c +4yl3 +4k78 +2f9u +4kab +3rl7 +5drs +6es0 +2g8n +2i6a +5kxc +1tyr +5z4h +2uzn +3prs +4jvb +3eig +4fli +2am9 +2bts +6db3 +4b6o +3nnw +3p5k +2xuc +4hvd +5n4t +5f63 +4cjq +4j4n +4kcx +4k4f +2bak +5csd +4mgc +1mzs +4ym2 +4ztm +5epn +5v7w +5hes +3n49 +2kbr +5fng +2fgv +2gd8 +3g6h +5u0f +4j44 +5v35 +6g6y +5kpk +4ui8 +4p3h +3gcs +5ngu +1q6j +3b27 +3u2k +6mil +1n7i +1h6h +3owl +3g34 +3hha +4pid +5hhx +2pvu +5ito +1li3 +1xsc +1tze +6fmf +1di9 +2yke +5f4p +5sz7 +1m2p +4y64 +3rt6 +3nfl +4bdg +5jv0 +5cxz +4mdt +2ayr +5m6f +6ciy +3ekq +3c7q +2osc +4r6w +3qkm +3hhu +1i8i +2i7c +6rnt +1mik +3py1 +4pnn +3tza +3zmp +5qaz +4odf +3hcm +3frg +1hvh +1g3m +6cpa +6g0w +3kec +6afr +5kup +2i5f +5fsn +6b2c +3gt9 +3sud +5btx +3fxb +5svx +5u98 +4ogj +4oba +6h7m +3aas +5u5t +4w9o +2qbp +5d45 +2bro +1ugx +6avi +2aox +4he9 +2oz5 +5n24 +3pwd +1it6 +4rvk +6b27 +2qu5 +4x7j +2ym3 +5mjn +3h26 +5ufs +4krs +5j87 +3u3u +5bms +1u9w +2z7g +4j8t +5d11 +5c11 +3f17 +4alw +3q3b +1c70 +2ctc +6e8m +3shy +5ut0 +3lcd +5yc3 +2vwz +1o0o +6b33 +1w70 +4bh3 +4gng +4rrr +4rqv +1hih +3u1i +5ovr +6c0u +4qiz +4k18 +4ocq +1b11 +3gds +5ivs +3bux +3qc4 +5ovc +1pu7 +4v01 +6e7j +5dh3 +3tu1 +4r5a +4z16 +4iur +4zv1 +5xsu +2o8h +5th7 +5ntw +3cyy +4q6f +2pjt +5w7x +3b68 +2a4w +2v00 +4nks +5hbs +4r59 +2ama +6ge7 +1ikt +2r5d +5szc +4zzy +5w92 +3l9n +3nij +5amg +3bv2 +5l9g +3ewj +2lo6 +4es0 +6dqa +3kab +2i0y +2i0d +2i80 +5uzk +6hd6 +1y6a +1e2k +4wz6 +4zyv +1wcc +1kzk +5kax +1fwu +5djr +1hdq +5ml6 +4rj3 +2x4t +5nk9 +2xj1 +5nvv +4rh5 +4jxv +5ivv +4axa +5lli +4lkf +1rjk +6g93 +4nni +1nki +3i7g +6ei5 +1z3c +3r5n +1xm4 +4gny +3ti1 +5b5b +3w2o +1oxq +3f7z +4j3i +4my6 +6fob +4o1l +2uy0 +1g46 +5orl +185l +3l3l +3jwq +5lsy +3iok +1sdu +4xtp +4qt2 +5fdd +5ia2 +5jhk +4ca4 +3t9t +2bpv +3jzr +1fcz +4p7m +3cp9 +5jm4 +2q9y +3eid +6b1f +3rxe +4ap0 +4mu7 +4jfm +1rej +4hby +6guf +5t1i +5upj +6gu2 +2euk +3vbw +3px8 +3g4k +6dh0 +2ien +2upj +5m44 +2hk5 +3emh +5ipj +6dai +3su5 +5e0h +4m3q +4wf2 +2osf +1i9q +2ow9 +5vt1 +5l0c +4ybk +5kr1 +2r7b +2lh8 +1usn +3v2n +5oq8 +6bhd +2pym +4ek9 +5o1a +2rnw +5qa8 +2zg1 +3uec +4ncm +4alg +5hvs +1lxh +5aux +2h2d +1qwf +2avv +5knt +4odn +3o1e +3eov +6cpw +1jii +3rul +4g4p +1qk4 +5nkh +4meo +4pmt +2v2h +4lm2 +1bzs +1v0n +5a7y +4uxj +2jsd +3ga5 +3vtd +4x6x +3gc4 +1v0p +2uzb +5xvq +3r7b +3b8q +2y6c +3bc5 +2bes +5wa7 +4f6x +3uvk +5twg +4avu +5vwi +1ms6 +5xo7 +3dcq +5km9 +2ygf +1zsr +1f40 +5m2q +1bl7 +4k7n +4hvs +5voj +5d6q +3g0e +5y0f +3dpk +3dow +2zif +2nng +2xnm +3f8e +2ndg +4lh5 +3e8r +2e9o +3uih +4epy +2i3h +6fby +6ew6 +4l0t +3pup +5fh8 +3pxq +2xxx +2pqj +5mra +1d6n +1rpf +4tt2 +3dct +4qt0 +6f1j +3gvu +5yy9 +2x81 +2cv3 +6fa4 +3l0e +3p3j +3qbc +1n7j +5fpi +5v8q +1rw8 +4e3d +2mji +3lcv +5mty +6c3u +3elj +4j45 +5v41 +5nad +5lvq +3h0a +3d9p +4tu4 +3ip5 +4kbk +3ps1 +3t4p +3uzp +2o2u +3u93 +4z8m +3lhs +2f81 +4iqt +5laz +1xot +1zs0 +1oau +5d47 +6dcg +1o4q +5nwd +3r4n +5aae +5f2p +5hjq +3cbs +5u0y +5w3i +5qaw +5d3h +5g57 +3uhm +5jf5 +5mhq +5etx +1clu +4zyz +1sj0 +4eh3 +2r5b +4pyn +5eq0 +1cil +6bdy +2auz +5vm0 +2ff1 +3f8f +4iu4 +5bs4 +4fyo +1p2a +2uze +2g19 +3gi6 +5dtt +3nii +4att +4jx7 +6h34 +2rl5 +4rcp +5mw2 +4mg7 +1drk +4mzh +1r6g +5xpl +4o74 +3cgf +4nie +1xos +1a37 +5lpj +2lct +3lau +1g2l +4uiv +6b4u +3jqf +4pvt +5lpl +5km3 +1t7f +3bbt +3tjc +2qi4 +5tuz +4lbo +5qai +2wyf +1rd4 +2xx2 +3hvh +2bmz +1jqd +5d24 +4bdk +2xu4 +2evm +6alc +4r5y +4gk3 +4pz5 +2duv +6fnx +4dfn +4agp +3hqh +4qem +3l81 +4c0r +5tuy +3wv3 +3n7r +2bvd +5vcw +4ibf +1i91 +1d2s +3ikd +4w9e +3fej +4wk7 +2a29 +3f15 +4u6c +4ock +2hz4 +3r8z +5cso +4ofb +2fr3 +5b4l +3ovx +1tl9 +3mo2 +3fhr +5bvk +4o62 +2hb1 +6g9d +1oar +5flt +2xey +4ikr +4ckr +5xvk +5oci +6fg6 +5wei +3fl9 +3atm +5msb +1pi4 +5m25 +1dhj +3oag +5u7k +5mod +5mtx +4u6w +1yk7 +3d8z +5em8 +3iny +5l2t +5fow +2owb +5nf9 +3ijg +1qan +4ad2 +2p09 +4xir +4tqn +5q11 +3zzh +3rxh +5xqx +3q2g +4bic +6ccn +2ai8 +1xp9 +4ef6 +5jzb +5sxm +2ym8 +6fmi +5f1h +4qyg +2qtu +3vfb +1ivp +3vf7 +4h1j +3sug +3h85 +6hf5 +2poq +5q17 +6c0t +4zsh +5dit +6aom +3h8c +2hfp +5caq +4m2w +3oy8 +1pot +3owk +3arn +2dri +4ymj +4jr0 +1nzl +5fdp +4cqe +1hvs +1n8v +5ct7 +5dx4 +2fdd +4ydf +5c2e +5vgy +5ot8 +2euf +6cnk +4j3l +3fpm +5w7u +3rhx +5lyh +5y0x +5enb +5mqe +5mxq +3t1m +4eyj +6mj7 +3rkz +4ln2 +4jia +4l4z +4qr4 +5xff +2jqk +5nk2 +4o4k +4jal +3nht +5xof +4f9w +2qoh +2jdy +3nim +1vso +3lbz +4bqs +3tfv +5i8g +2k46 +4mg9 +4wyp +3b92 +2i4x +3wbl +2n8t +4unn +2ria +3vv8 +2xk4 +5ei4 +4u1b +3bv3 +5etp +3kcf +6fod +4giu +3vyd +2pvh +5aaf +2hdr +1lgw +2lsp +3ioe +5yof +3r6t +1uj6 +1a09 +1rzx +3cy2 +6f8v +1xor +1qwe +5mxo +2opb +3psl +5y5w +2j4q +5vfn +5qim +6da4 +1oxr +3at3 +4mzo +2aia +5v2l +5x5o +2xcn +5toz +4z22 +4wlb +3pb9 +6bke +4p7s +5enh +4jmg +1a4r +4hy9 +4g0p +5b5p +1drv +5eh8 +4wy3 +2aov +6dj2 +1kdk +2og8 +4uw1 +4hge +6c4d +1bai +3i5n +6epa +5tzx +5a4q +5n93 +2exg +4a0j +5ula +4cc3 +1dis +3ns7 +3uz5 +5q0r +1qbo +1nd5 +4oq3 +6e9l +2n0w +5vse +1y2k +3e3u +4ibi +5hfj +1qbu +3px9 +5xpm +5q1b +4zjw +3r21 +3bft +1il5 +5yco +4p5e +3rhk +5fq9 +5ko1 +4q7p +1ro7 +3lil +3wf6 +1tft +5t3n +2bet +3nuy +5nea +3kdd +6f2n +4j47 +3iut +4uvv +2i4v +5k48 +2hpa +1mrs +1q8u +4ytc +4eft +2v95 +3me9 +4o0b +4kn0 +1gnm +4zsj +3v8w +4tzm +5ih9 +3gen +2ykb +5u7i +4e81 +3v01 +3n4b +3at4 +4mzl +5ybi +5ufc +4flp +4yqm +3o8p +5yft +5w6e +2yjx +4pqn +4a9c +3bpr +1mai +4oel +4u01 +4ibc +4jpy +1q41 +5aip +5i0b +4zyt +4qt1 +4w4y +4uj2 +4o42 +5o1h +3b0w +3t64 +5dgm +1b8o +4l3p +2b1z +4yyi +3l3m +3ebl +4fvq +3fup +5ot9 +3eax +3vhk +5c1y +1obx +4tzn +1d7i +3qd3 +3ovz +3ihz +5iis +5vo6 +5tc0 +1dm2 +4y63 +1n8u +4xua +2ybp +2cgf +3d4q +4gsy +4i32 +2psv +2ych +5lck +1xxe +5dp6 +2lnw +5kr2 +4utx +1a8t +6emu +2itt +3kqo +5ku3 +4n7u +1oit +4j26 +4nrp +4yh3 +3vw9 +2hyy +2we3 +4ijh +2jdk +4kcg +1mxu +4mg8 +3lka +2f3k +4tkg +3zot +2yak +3qkd +2pv1 +3avz +1qbr +4q08 +3zpu +2ydv +3rtp +4b95 +6f22 +3f3w +2byh +5jsg +6fsy +3twv +5d25 +2vto +6csq +6dh3 +5jq9 +4tmf +2ghg +4wnm +5ayf +4osf +3lzs +1i90 +5ops +2mpm +1o4d +4bkz +4aom +2pl9 +3gqz +4mlt +1mf4 +3p3g +5dbm +4xhk +5lny +3g8i +2zas +3kfa +4nwd +4ei4 +5yjf +2f2c +2wa4 +4j7e +3m9f +5tg5 +1njf +3ce0 +6bh0 +3vfa +3su1 +2vtn +5yp6 +5twj +2al5 +3bh9 +4djo +4oi6 +5m4u +3uvx +2aod +1pqc +4n4t +5fdi +4ere +1ftj +5q0v +5os1 +2j9l +2qm9 +5ei2 +3u18 +4s1g +2wq4 +6bnt +4jai +5ahw +4uit +3bmn +4gki +5v7a +6dzq +4pnt +2wtj +5amn +3r7n +5nvy +3k41 +4aq3 +3tdh +3wdz +5nib +4umn +2vpp +5w88 +2g71 +2lk1 +4ai5 +1o41 +5al3 +2o4z +4a51 +3ay0 +3own +1lcj +3prf +3slz +4tmk +1au0 +1bdq +5h8b +1qf2 +2r0u +1f2o +1hn4 +3uw4 +1wdn +3mho +4yl1 +6cex +4pop +5f02 +3d7b +1xbb +4i8z +3otf +5c20 +1zrz +4rqk +1tvo +6fnr +4zlo +1nyx +5aad +3kqw +3nw7 +5ti6 +1ywr +1yfz +4a7c +5ljq +5h9r +2b1p +3kpw +1q5k +4aml +4ibg +3kmm +3hdn +6cef +1u8t +4hbm +4g3f +4eok +1t48 +2xd6 +2fjn +4j77 +3ui7 +5e73 +1h1h +3kdc +5h9s +3cth +3mhc +3g90 +4f7v +4eh8 +5qaj +5dus +4g95 +1c3e +4nnr +3e64 +4b0c +4dds +5axi +3ppj +1meu +2jup +3p9j +1e06 +3ika +5yyf +4kc4 +3su3 +5hcv +5law +3o99 +1yci +3aje +3b7i +4qmt +1nw5 +5wg8 +1k6t +5kql +5d21 +5ewh +4x6y +4mbl +5ug9 +3hvk +3qts +4nvq +5q16 +1uyf +1yt9 +2zu5 +5buj +2xiy +1al8 +4cig +3cgy +4mdq +4dzy +6fcl +3spf +1lkk +4uu7 +1zky +5d9l +5t6f +2i1m +3o88 +3idp +2pov +2qe4 +3qtz +4pli +4o45 +2q8h +4eop +3h9o +5b6c +5boy +5nkg +4dum +3whw +6b59 +5aan +6fo5 +4pmp +5i0l +2ra6 +2xl2 +4w5a +3ogq +4rrq +4asd +5txy +5u0w +4xta +2q9m +5lyw +4kon +3hmv +6g92 +5k03 +3acw +3hng +4fbe +4fmo +4g8v +2vx0 +2o1c +5unp +4o7c +5jyo +1tfq +3s78 +6g0v +3peq +3o9f +1k6v +6gfs +5m39 +3wz7 +1nwl +5e3d +3iw5 +2h15 +3avh +2azr +5vsk +6ckr +4n84 +4eh2 +4cpw +4dgn +2yer +4y29 +5tq6 +3bcn +3roc +5lwm +3k5v +4zip +4und +5qak +5wo4 +1rrw +5hls +3pjc +1cin +3b2w +4ys7 +3vqu +3uoh +5i8b +4jlm +3wnr +5w0f +4cjr +4jj7 +2h5i +3ezv +3uxm +5vcv +2vtt +5nin +3uvo +5anw +5nvw +4b9k +1j4p +4dkp +2jdt +1iem +4lm0 +5a81 +5ort +1h1q +5lo5 +4anm +1e1v +4tki +4euo +6gy1 +4civ +6gi6 +5vb5 +3f5p +2kfh +5nf5 +5mes +4w55 +1sv3 +3p7a +6frf +5z4o +3cow +6f9g +3ds1 +6a6w +2g8r +5q18 +5cau +1s38 +1zge +4gzf +1q54 +5l9i +2ez5 +3unk +3o86 +4j51 +6fyi +5ekm +3f9y +2brb +5g45 +5jgd +4ikt +5opu +1t7d +3ocp +3wuv +4foc +4bi0 +1kll +3qtq +6h37 +4rlw +6dak +3m11 +6fdp +5ksx +1okl +3sji +5hu9 +5vom +5fdo +5iay +5nu5 +6ghh +4q06 +1re8 +5uey +1tcx +3s45 +3n5j +2qp6 +2zaz +4mq1 +3atp +3ekw +5mwy +2z1w +1d4t +4yk0 +3hnb +6g36 +5owh +5idp +4n6z +3qcx +4z89 +4pkb +2ewp +3d9z +4c5d +4meq +3so6 +3tiw +3u0d +4css +4aqc +5l2s +5uc4 +5tca +2x6e +4gne +5nai +4ym4 +2nnp +1vij +5bvd +3pn3 +2pql +3ekv +3nq9 +5c7n +6bq0 +2aux +4x69 +5mts +1e9h +4ykj +6i3s +5mo8 +2q92 +4u70 +4xy9 +4ith +5aph +5cy3 +3fat +2vti +1f0q +4wsy +3ej1 +3rux +5a5s +3t7g +1xon +5flq +2hw2 +3aig +4hl5 +3oxz +1ndv +5yji +2hxm +4jpx +1ws5 +4uix +2c1b +4cws +4ehz +1fdq +2avo +4mmp +5muc +6elo +6dif +5qas +4y3y +5hki +2xnb +3tt0 +6gmq +4i5p +3psd +5hcy +1q6n +1tmn +2gg0 +3zep +1c88 +5nwb +1z6d +4ixu +5cyi +5j18 +5ml3 +2brc +2fwy +1bn1 +4qip +5yib +3ig7 +4ch2 +5tex +3b4f +3poa +4zyx +4m0y +2ot1 +5e91 +1yc5 +3iqi +1pmu +4l58 +4mx1 +2hs2 +4yne +2zm1 +1lxf +4zcs +5n2z +3f19 +2obf +5vee +5wuu +5f5b +4xs2 +4rwl +4hpi +4e34 +1yc1 +5e1m +5oq6 +1nhz +3pjt +4elf +6dpz +2waj +2fqt +3mxy +1y91 +3zmi +2fv5 +3ryj +3i5r +3bx5 +5ave +2j2i +4yuw +4igk +6cz4 +5ty8 +4odm +3hs8 +4ele +2pvj +4m5l +3wz8 +4egh +5w7j +6eda +5m5d +4o71 +3kag +4u93 +4zam +2jbp +4z3v +4zzd +4f14 +4h4d +1pxh +2hwp +1u9e +5kqx +4yqu +2xf0 +4uof +4ds1 +5diq +2lp8 +3avm +3kqm +2wou +3ip8 +5ti3 +4i5h +5i2r +3lk0 +5k13 +3bfu +3n45 +3te5 +3ujb +2bzz +3a6t +2y6o +3b28 +1hvl +4g8y +4dko +3kdb +4qmp +5q10 +3hqr +3w32 +6f8b +3h2n +5ke0 +5w4w +5mxr +5igl +2h9p +4iuu +4d8a +3dvp +3ao4 +4h38 +1o4b +5eel +3e8n +4m0z +6ccx +3ttn +4jsr +6aqq +5o3r +4rqz +4hkk +2wu6 +1ule +5h17 +1kug +3l9m +1d1p +5mgk +2n1g +6hk6 +4kp5 +1yyr +5al4 +1pzj +2z4b +4xub +6cjh +4m2r +1tt1 +5ime +5oei +5anu +2jdh +4eos +4x1f +4gao +5c8k +3pj1 +5hz5 +6gjm +4ybs +5gmi +4twt +4anb +6hmg +2lsk +5mwd +1gfw +5gja +3u3z +3mzc +5w9g +5yz2 +4nmq +1bug +4zmf +1o8b +5jf3 +4jaj +3oaf +4hlw +5ta6 +5mae +5m2v +1g9r +3iqu +5i9y +2fqo +3e3b +4jlj +4tq3 +4jlg +5ewd +4dhf +4ywa +5fxr +2zmd +1fkg +2lwi +6iik +3zxe +6dgx +2vx1 +3hav +3pkn +1trd +3u10 +2a0c +3ly2 +1irs +6iin +5hzx +1urw +2xb7 +4umr +5apr +5ngt +3q71 +3og7 +4oeg +4tte +3sff +5tx5 +3v8t +1nqc +3vhu +2d1x +2h2h +5nvz +4qy8 +3w2s +4w9h +4r6v +5v5d +4q07 +2in6 +3bki +6ayd +4zyc +4ybm +4xip +3ibu +1br5 +1gwq +3ggv +3cke +4av0 +4qpd +4o04 +4b8y +5nvc +6f23 +5w0e +2hdq +2amt +6g9n +5iz9 +2hxq +2c3l +5c29 +1we2 +1m6p +2f80 +2ooz +5kx7 +4m13 +4kz6 +5ypw +2i4w +2xu3 +5lt9 +4efs +7cpa +2i72 +2h13 +4obo +3f88 +6g47 +3o57 +5a0c +2fl6 +5mja +3aqa +3g9l +5znp +1hi4 +6ay5 +3et7 +6bvb +5u94 +3ryv +2peh +5e1e +5fb0 +1rtl +2i4p +1a9m +4k3k +2c5o +2qu6 +6bqk +5cs6 +4dea +2e1w +3rdo +4zme +4zz2 +6ey9 +6an1 +3eor +2uue +1n4h +3gk2 +5i5z +3hv3 +2hzi +5yc2 +1g48 +3bxg +5q0q +4axm +6g91 +4q0l +1gmy +6gin +5yy4 +3orn +2nmb +4lkd +6ahi +5bsk +3uza +4nka +6bkh +2clx +4ufz +5nk6 +1syi +3zsy +5ux4 +4bdc +3lgp +1akv +4g2w +6gu4 +4o7b +3ty0 +3st5 +6fqo +5em3 +1rlp +4cqg +6fmk +4o6e +4agq +1ke9 +3up2 +5mqx +3lpu +5wfw +4j5b +5ee8 +4qj0 +1ka7 +4np2 +5osl +3b3x +2xa4 +3t1n +4yp8 +5ofv +2bdl +4y83 +4y4j +5eth +3f38 +2uy3 +6fdq +4qmx +5wh5 +3owb +1xlx +4av4 +2wxv +4aoc +5jk3 +4xtx +2aoj +1v7a +3lzv +3bum +3fxw +4qhc +1b6j +6dq5 +5lsx +4bdd +4od9 +3vye +2yix +1i7i +4eoy +2k4i +2bv4 +5dp7 +4xiq +3d20 +5llo +4hn2 +5n31 +5jf1 +4i73 +1cbx +5a5q +4uvy +4guj +1i7g +4ll3 +4pp0 +4rux +3coj +3d6p +2e27 +5iui +3wdd +1lnm +4tsx +2gmk +5ox5 +5xyf +2b7f +4m5u +5evk +3ipu +4p5d +2fsa +4bcp +5thj +4jsc +3ug2 +5e7n +1ofz +3uo4 +3gr2 +2m0u +1sme +3h3c +1xff +3b3c +1xa5 +1fe3 +5a85 +4d8i +5swh +1y2d +4obz +1c7f +1qkn +2etm +4i5c +1p28 +5j7s +1y2j +4iq6 +2pe2 +3o1g +4w9i +3qrj +6dxx +5k4j +4yef +1sbg +3s00 +5fcw +4txe +4mr5 +1bxo +5xxf +5edl +3k98 +3qqu +1hgj +4l09 +4hki +4cl6 +5amd +1ym1 +4eoh +1nxy +3n4c +2kzu +5kre +2jkk +4w54 +2idw +3uxd +3ao1 +3v2o +2rgp +4lkq +4o7a +5m4k +5g3n +1wm1 +4fzj +2mc1 +5v1y +4glw +4rss +2h4g +1ftk +5fnu +3sv7 +2vvo +3k97 +2wpa +1a4h +6eeh +4mse +3nnv +6eq4 +5f1l +3elm +2uzd +3p2e +1r0p +2qhz +1afl +5vd0 +1opi +3gf2 +3nuo +1hy7 +4xbd +5m6h +1g05 +5d0c +5nhh +2pax +2l7u +3wns +4qpl +5lss +3sni +5wfm +3oe4 +5xg5 +3lle +4odk +2ig0 +2c1a +3kah +4db7 +1bxq +5f9e +4p2t +4exh +6d2o +2oi0 +6eux +2ojj +3pyy +3jy0 +3r5t +4xdo +4u2w +6hdn +4mre +5ez0 +5kzi +3uug +5ldm +4llx +3lw0 +5wqj +4e20 +2x2m +5l98 +3qsd +1adl +2wa8 +4q9y +2rkg +2xk6 +5t8e +3juk +5uf0 +3l1s +6evr +1lag +1awi +6ej4 +1pmx +2kbs +2f10 +2zb0 +1ebz +5lcf +5u13 +4cd8 +4l6s +3pd4 +5tiu +1o44 +4btk +6cb5 +3o0u +4lp6 +2o3p +3qo3 +3d1z +1hms +5ox6 +5hg5 +3mxe +4i7l +5lmk +3nu9 +2qi3 +2nv7 +4ndu +1aq1 +3ddq +1b8n +4xhl +5j9z +5ufr +4qjm +3g4g +4uvx +3qaa +5mwo +2onz +2hiw +1xnz +5x28 +1o4a +4klv +3lgl +2wey +3clp +1bmb +5a5z +2z5t +4ibm +5lzh +1fmb +5ia5 +4kp6 +1s9t +3ao5 +5cp9 +5el2 +4jv6 +3ubd +5ekj +1d5j +4gue +4n8q +2vtq +6bfp +5xyz +5kbf +3unz +4qdk +6buv +3dnd +1d7j +1nzv +2f6j +6bbx +6ay3 +1fwv +4dma +2r3c +1d6s +5dsx +6do3 +5n7v +1g5f +1lb6 +3ii5 +2w10 +5i86 +1uho +5vsf +5kva +5wa8 +2i0e +3ptg +5vp9 +6b7d +5hrw +4xuc +3q32 +4q9m +3fv7 +2qry +4riu +4bs5 +4g3e +4nb6 +4ps5 +4dvi +3uvm +5os7 +2xix +3iaw +2xnp +6dvo +1cgl +5dya +2e9a +6dil +4tpw +5fov +5ttv +6f3b +5cas +3dz2 +1xhy +5th4 +4hy4 +6g3y +5lu2 +5wg7 +6ap6 +6hpg +5if4 +5wgp +3d6q +2wer +4cfl +3uib +6fgf +5tx3 +3plu +1zzl +6db4 +5tpg +1w8l +1di8 +5nvx +1bt6 +6d9x +1vjb +6b31 +3daz +1v0l +5ewy +4i9u +4afj +5hzn +4eqc +3p8h +5y53 +1kat +4hys +3rdq +5fsl +5gnk +6h29 +3nu6 +5jf8 +2qd9 +2v8w +1ywi +5uiq +2qbw +3a4p +4d62 +5qb2 +6bgx +1ela +2q63 +6cmj +2p9a +5nwk +4rrg +2l1r +2vpn +1qji +5ty9 +4dgg +5f67 +1kak +4mc9 +4dpu +3h06 +2b4m +4q99 +4dgb +4hw2 +4cix +5his +2ihq +3brn +5fh7 +1rgk +3iub +3e81 +4yl0 +1at6 +5wf3 +4j93 +5ti2 +3qcj +4qjo +4qer +2kp8 +4o2p +2op3 +6got +2weq +4lh7 +5l97 +5o1e +5y8w +1err +4rj7 +2yol +2ltx +1mxl +4c7t +3nf9 +4kn1 +5dpw +3e5a +1y1z +5j8i +3cd8 +6ccl +4x9r +3rtx +2zmj +1xp6 +4znx +5o5m +4w4v +5d1j +3ipq +2ydj +3gv6 +1mxo +5l9h +3odk +6c98 +2wmx +5oax +3q6z +3s53 +5lzg +3mo5 +2mow +3ow3 +4ebw +2h6q +2fjm +5uez +6et8 +6ep9 +4mdr +5xfj +4z0q +4heg +3nb5 +3oy1 +3qpo +2hog +3rl8 +5ia4 +6f1n +5m77 +4a50 +1elb +4k9g +3uo6 +5fdz +6fiv +5q12 +5anv +5aer +2zu3 +2oiq +5lwn +1i9o +1npv +4piq +2w0j +6c5f +1w8m +5gjd +5yql +1m83 +3ns9 +3d9k +5ucj +3piz +3ekt +3m2w +5q1c +1mv0 +6emh +1ttv +5u12 +4z68 +3oxc +4mc6 +3adt +3r8u +1udt +5gmp +2l84 +2gg9 +3o64 +6f6r +3hy7 +5u6v +3ans +3p79 +4je7 +3gta +4q9z +6f55 +3ant +5a3h +3zdv +3o1d +6ar4 +2ym4 +3s3v +3pbb +3r6c +1xh8 +5q0w +2psu +5gty +2qi0 +2nn7 +5vb6 +1zp8 +5uqv +4pci +5f5z +4rj4 +6dh4 +4ea2 +4y6m +5d3p +4l7l +5ljj +3ayc +3ern +3zhf +6bgg +2znt +1gym +5k8s +5wio +4hlh +5tkd +1kpm +3tcy +3uyt +3o9l +5ejv +6ekn +2fky +5vp0 +4rxa +2xpa +1kav +3ecn +2g83 +4m5r +5iql +5g53 +3zt3 +4hkn +4h58 +4f1l +5q0t +5w13 +3r88 +4qmq +5aag +1b6m +4i47 +6c91 +1z95 +3m96 +5t92 +6gjl +4yxo +4wov +3l2y +5v5y +2h5j +4e4l +4mao +1zkl +5h9q +5one +2i4j +3rlp +4yth +3gsg +2of4 +3ed0 +3zlr +5llp +5c8m +3dkf +4z6h +1xb7 +4apr +5khm +2ly0 +4g16 +4uvw +4g90 +1kds +4bck +5eqp +4uye +6gjj +3eyg +4lkk +1j4q +4o36 +5dtm +6faf +3lfn +3qi3 +3i90 +3qgy +6gfy +4xyn +3rk7 +6atv +2wu7 +3p8o +3my1 +3s3q +5w0l +4tw8 +6b8u +5jg1 +2azm +5ntk +5jq8 +3gcq +2zcs +1o0n +3nu5 +5loh +4m7b +1qpl +4ge5 +4w9s +5fat +5l2w +2pix +2xoi +5wa9 +1q4k +6fu4 +5umx +2bdy +4crj +4pyx +5t97 +1fao +1n46 +2ooh +3dgo +1xjd +3mag +6euv +4g5f +4dgm +5o1c +3ken +4d2r +5fnq +4z7f +6g15 +5ypp +5lt6 +4tln +4mrw +4tw6 +5l3a +3nq3 +5vfj +4x7k +2q8s +5a3x +5oh4 +5dq8 +6ffs +5vwk +5eob +5dgj +2i4d +5wlo +5lo6 +3p5l +4q1y +6c4u +3ctj +4wmy +5c84 +3l8v +6eij +4nmv +5ok6 +4yab +2vnf +3r0w +2uyq +5j19 +1y2c +3nth +5ni0 +5gv2 +3kad +6hgz +3dng +4u7q +2c5x +5ho6 +2aqu +1ke6 +3wff +4bb4 +3ai8 +5u14 +4xe1 +4ggz +4av5 +3bgc +5i4v +4bkj +4hup +2ovy +2oo8 +4dlj +5qan +4nwc +4msc +4iti +3guz +6i8l +2yof +1oyn +3qti +5nf6 +5n7x +3oyw +2x2l +2lkk +3oyq +6c28 +2ofv +4cpt +4em7 +4xyf +4xh6 +3b7j +3eqs +3tkz +3dgl +6df4 +5auy +5mqy +2aoe +1d8f +4zsg +3su6 +5tz3 +4hco +3i6c +2ow1 +2yjw +4nue +1uyd +3oik +4gih +5i40 +5fns +4x6h +5hg9 +1uj0 +3i5z +5wb3 +3lpt +3nhi +1cbr +5uis +5nk3 +3okv +3krr +4gnf +3zyf +3ivg +5d3n +5o4s +3hrf +5eek +3tnh +3gp0 +3bxs +5cap +3ta0 +3mkf +4uyf +3hek +1fbm +5wou +3g76 +2rkf +5lav +2rkn +3jzo +2vo4 +4lzr +2srt +4wbg +1vyz +2qbx +3gbb +3vnt +6czi +2bmv +5hx6 +2igw +4o0r +3kr8 +2z5s +2w97 +5j27 +3w5e +1zz3 +4y5i +4rx9 +6g4z +4j3e +2wei +1cp6 +4cga +3kb7 +4phw +3zpq +4b3c +1mfi +3jzk +1hsh +6aro +3vyf +4k66 +5eeq +4ql8 +4lgg +2x7s +4zbi +3qzv +5etq +1nhw +2xx4 +3zsq +4h75 +4d0w +4pml +2fm5 +5usq +4e3b +3dab +5h8g +1kr3 +4w9d +5k8v +4h85 +3v78 +5uox +4fcm +4i1r +5hkm +4y8c +3n3g +2evl +3k3j +1utr +3ixg +4ahs +3fcf +3bgm +2nxd +4yhq +4k19 +5y7w +5n17 +4bt5 +2ojg +5x72 +6eq7 +3ehx +1a5v +6clv +3qcs +5cy9 +3bgp +3nf7 +4dmn +4msk +2wmu +5c2a +3lco +4x3u +5c7a +1pa9 +3m67 +1j7z +5l8y +4cc5 +2rcb +3jzc +4u73 +2an5 +1dzj +6b97 +5y6d +4ymx +6f3d +5tg7 +2w1i +1vyw +3sw9 +8a3h +3o3j +2i4u +2fu8 +1swi +2jo9 +4bzo +4tyl +2x7c +5f3i +4q9o +3e1r +4j78 +6h38 +2h65 +3s4q +5maj +6hpw +4p0b +6hoy +6bib +3rpv +4v24 +5k1i +3kai +5cs5 +6as8 +5dw2 +1mq1 +5jog +4iu1 +3r2b +5c4s +3pa8 +2qq7 +1yye +1oir +6ert +3d7z +6dq8 +3pj2 +3nwb +3afk +6acb +1kna +4an2 +3lcu +3rdh +2r3y +4w7t +6few +2gg2 +6anl +3r16 +2ovv +4ya8 +3bgq +5fap +5cei +3v5q +1maw +4jx9 +3fci +1zfp +2l12 +4lil +6eq2 +5vdv +6b0v +4l0i +4zsl +5yu9 +1rnt +5n1p +4j82 +3qvu +4pyo +3atl +4ad3 +4b6r +3g8o +4kc2 +7upj +5eyz +6do5 +5wfj +4o55 +2qi5 +3fv2 +3ioc +4jjm +5umy +4f64 +3p9h +4hz5 +4kin +6cqf +3feg +4oee +4i7d +5ll5 +2p3b +2x8i +4ui3 +3po1 +3u90 +4jzr +5nkb +1km3 +3myg +4ymh +4nms +4lp0 +6cdg +4x8n +4w4x +5m29 +3sov +4fxp +5uwl +1vik +5tg4 +5hrx +3wz6 +1mm7 +5eol +5n21 +3vhe +4w9q +4z93 +5f3c +5ll9 +4zts +2iw9 +1g54 +2yk9 +2g24 +5f60 +5jq5 +3ha6 +2yj9 +4nra +3el8 +4kni +5v79 +4x3s +1dif +5av0 +4l10 +2ltv +5yfs +5mjb +4ai8 +5j20 +5jjm +1std +1jjt +1jdj +5adq +4r74 +5n53 +3ljg +2lsr +3rk9 +1add +5x02 +5cc2 +3u9c +5d12 +1xn0 +5f20 +4lgh +5etr +3mj5 +4km2 +4f9u +6el5 +1hmr +5n9k +1sh9 +4uns +4cpu +4psq +5wcm +5vsc +4wa9 +3fxv +2obj +3n2p +2vwy +4ge2 +5d7e +4wx4 +3sgv +5w12 +4dij +4r3w +4fk6 +5ggl +4oyk +1my8 +6mv3 +3kqs +3gz9 +3eta +1b42 +5mlw +4qr5 +1r6n +6f6u +6cee +5moe +5zwh +4kb9 +2wmw +1nax +1o4n +2znu +3ma3 +3k15 +5qae +4d8e +1m5d +2ql5 +3h0y +3wpn +2qa8 +5tgy +4pl6 +3tdz +5g2b +4nrk +1kne +5khg +4uiu +4kyh +2qg2 +1a4m +4byi +5ngz +6fam +2hb3 +3ms9 +2pnx +4qmw +1lzq +3aid +3psb +4c4e +4jxw +5ngr +1utz +3r7o +1abt +6dh2 +4rx7 +2cn8 +1cny +1npz +5q0s +5cs2 +4mgv +5q1e +3r4o +6fyk +1x8s +5b25 +4f39 +4tk5 +5nhp +4lov +1kui +1bnv +4kov +6cyc +2p3c +3dy6 +1hvk +1x76 +2krd +4bbg +5otc +3kqp +4esi +2rku +2kpl +2xx5 +2fl2 +4a4v +1lfo +3hf6 +3bm8 +1a99 +3zly +6cwn +3d8y +1hgi +3tn8 +6f3g +3tz2 +1xws +5uov +3coh +1mes +6f1x +5gs9 +3zpt +4f9y +2nno +5v42 +4j8m +6hjk +1izh +3o9d +3anq +6cd8 +3l8x +4fe6 +5adt +5nzq +3pn1 +4xcu +3obx +3w2r +4dk8 +3kgq +4jwk +4hyi +4kne +3u9q +5ih2 +2h02 +1i8z +4bid +3lmp +5ohj +4j81 +5dey +1shd +5n0f +5kh3 +2ndo +3vid +2x4r +4kz3 +6cen +3s8l +2aoc +2xh5 +4qfg +4xg3 +3hl5 +5n58 +3r22 +5o45 +3p8e +5o5h +3miy +5bpe +2vta +1bnq +4poj +1q6s +4ahv +4e4n +4qgi +4o75 +3ogp +3dk1 +4bdf +2ybs +4ght +1e5j +4wrq +5cqu +1ow7 +5nsp +2rqu +5kpl +3g19 +3rjm +3f3v +3wzu +6b5q +3r9d +4awi +5vd2 +2bal +1y2f +2xxt +5hlp +2y8c +5auu +1bwa +6gbe +2zv2 +6arn +6fr0 +5kau +4oew +5fbo +3l9h +3igg +4hy0 +5enf +1cwc +186l +2jkq +3gb2 +2o5k +5c13 +4std +4gfm +2fm2 +4pv0 +3qx9 +1hnn +3bl2 +6c7i +5ur9 +1pye +2jdl +2uyi +3g5d +5ehy +1mqj +5gs4 +1bv7 +1br6 +2ybk +1bcj +3ktr +1e02 +1ykr +5vja +3r5j +3kga +5f74 +5qaq +1jpl +5hmi +3mjl +1eei +2o4s +1agw +4wn1 +3tc5 +5epy +3vc4 +2i0g +1onh +4ad6 +4drn +4prg +4ibe +2yem +5zwf +1x0n +6ehh +1cps +3g2t +3vsx +1hsg +3vhv +4lyw +3sl5 +3e92 +4o91 +3ipa +1imx +1u71 +5dx3 +4hvi +1h5v +3p7b +5v8o +2rg5 +4yrd +4bcn +4d09 +5f8y +5mwp +3gba +4lyn +1unl +4dce +1nlp +5dxg +3rcd +5zwi +3o9a +2x2k +5l4f +5yqo +3tki +5ivt +5mnr +3asl +2oc0 +2h4k +4yy6 +1drj +3hku +3kfn +6gmd +2c3k +1w5v +5oha +4myq +3new +1y19 +5nka +3i7i +4b6c +1h3h +4jql +2zyb +3q6s +3g4i +3zqt +4bbe +3olf +5h4j +4ljh +4a4f +4nw5 +3eqy +4tpp +1pi5 +4bt3 +3kiv +1pb8 +2k2r +5j1x +6g37 +1bxl +1nmk +4f65 +5a7b +5sym +1j1a +4nwk +5l8t +5k0f +1mqh +1wxz +3tt4 +5k0x +2ez7 +4ddl +2ygu +3e7a +2odd +4eon +3vf9 +1pxm +4umt +4rlt +4f8j +5dp9 +1ung +4r5w +4hyb +3nyx +5hmk +2qyk +3tz4 +3qxm +6g97 +5u0z +3aav +6evn +2yga +1p17 +5fus +6b3e +5hff +3iu8 +4o0v +4gs6 +6gn1 +2pze +2l6j +3itu +5a7j +3su4 +3r6g +6eiq +5qb1 +4xjs +3b66 +3le6 +5t19 +5ett +3p2k +3u7s +3c6w +4fcr +2jqi +4ovz +3soq +1hef +5os0 +4htp +4j22 +4etz +3s76 +2yz3 +1xnx +1elc +6eif +5t9z +2qt5 +5h1e +5ekh +5vdw +2za0 +5wej +2yel +1r5y +1pzo +2ydw +5kam +5i13 +2x9f +2np8 +5ci7 +1fcx +1hp0 +4bhn +1i9p +4hyh +5f2s +1bwn +1xh7 +4bg6 +3lxk +4w57 +4kxl +2rcw +6h1u +3mxr +5eva +5owa +4mgb +5ka9 +4pnc +4mzf +4whl +4llk +3stj +3usn +4i4e +4hg7 +5dxe +1hc9 +3dcc +3d27 +5azf +1ysg +5nve +1r9l +4iuv +5j31 +4joe +3sm1 +5etn +5c1x +2oxy +5can +5hz9 +4uxq +4hfz +4mn3 +1jif +5y24 +5f9b +4o0y +5w7i +3g58 +4jmu +3dg8 +2oic +5ka3 +1j01 +6b7c +5wg9 +2fv9 +5nhy +4x6s +4q1w +4o5b +2p3g +1h24 +4xu0 +3pe2 +5ow1 +4uyg +3du8 +1mtr +3bug +4uj1 +4omj +3esj +1y2b +1zyj +2v3u +1o4f +5w0q +2loz +5f4l +4mo4 +3mam +2h44 +3que +4y32 +5hyr +4mnp +3wix +5di1 +4ogv +2r6y +6c7w +5qa7 +5vm6 +4x5r +3k23 +2q54 +2pe1 +4rfc +2qbq +5o07 +1a85 +5etb +4ylj +2vpe +1nvs +5ftq +6g6z +4e1n +2q2y +2ozr +3fei +3nin +4py1 +4j52 +4mrf +1m7q +4m8t +1my3 +5fgk +2ff2 +5qat +4kox +5v1b +1det +4cq0 +2iwx +4bcg +1pro +4ebv +4m5m +4pp3 +3v31 +3imy +1k9q +5tzh +5f61 +5orj +3efr +5g4o +3el1 +1mn9 +5wdw +5nu1 +1o5p +4ajl +3kig +3wde +6fdu +4psb +4bw2 +3wut +3nw9 +5ceo +5za1 +5c1w +4imz +4x3k +4zgk +1ke8 +3tkw +5sy2 +1msn +5ow8 +5ekx +6iil +3tsk +3tzm +3ttz +4ibd +2c4w +3h8b +3ouh +1azl +4ivd +1o4i +5evb +4k9y +6mxe +5ygf +2hzl +4gj3 +5y5n +3s3r +5lso +5cu4 +1ysi +4jje +5akw +5wgd +3muk +3uw9 +1jq3 +3hk1 +4i54 +5d3s +5m56 +2bkz +1qw7 +4abu +2ggb +5fjw +2xjg +5eqy +4g2j +2a4g +3hf8 +5em9 +4ztl +2g1q +4phv +2ylq +5tdb +6dh7 +5kz0 +3rz3 +2vww +5j7g +5mev +3vrw +5t8j +2o48 +4cgj +4cbt +5ofw +3q2m +4ce2 +2qqs +4yw7 +5wip +6b16 +2cgu +3fvg +3py0 +5nkc +6dq4 +1n3z +4rme +5z95 +4yc8 +4e5w +1hvr +1xzx +4eu0 +2p7a +5ap7 +3wt5 +4o3c +1rgl +3wgw +6bfn +6h36 +5ugm +5xpo +3ugc +3p44 +1zp5 +5tbe +5vdk +3rni +3kc3 +2k2g +4a4q +3m6q +5u0g +3v2p +3kqt +3wp0 +4tkn +5d3l +2qc6 +2br6 +5d3c +5ny3 +5hjb +4txc +5b1s +2pwc +3nu4 +4x3i +3djk +3ivx +6b8j +1y0x +1ros +4rwj +6bto +3ztc +3l0v +5qam +3wv1 +4mep +5tzc +4k6i +3r8v +5d9k +4gg7 +3d9n +6cct +3nfk +4uiy +5fl4 +2bbb +3b50 +6ce8 +4jv8 +1li2 +4qag +3hyg +2cen +5kat +1dzp +1okx +5fb1 +1jje +4wup +6h8s +6bx6 +3h1x +4ps1 +2dua +5diu +2cbs +4zy4 +1y6b +2vo7 +4qye +5ct1 +4elb +5sz2 +4u0x +4ztq +2nnd +1xom +4abj +3uh4 +1pop +3hv5 +3zll +4rak +5tuo +5ur1 +4iqu +3kac +1t7r +5mwa +3djp +3r91 +4o77 +3d0b +4bxn +5q0j +6cjy +4zjj +2wos +1bbz +4rx5 +4nzm +1m5c +5ejw +4fvr +6f20 +1u9x +3rxp +1oeb +1gux +1g4k +5dfp +5vc4 +4gu9 +3l8s +4bis +4lwi +2baj +5wik +5a7i +4pnq +1b38 +4fl1 +3s68 +2dq7 +4x8p +5vgo +2o9k +4yo6 +4lv1 +5ose +4ogt +5e8a +4k76 +2pr9 +1z3j +2g72 +2l1b +6g0q +6cv8 +1o4g +4kfq +3f7g +4deh +5tmp +3d78 +3avj +4rg0 +4qev +5nt4 +2w08 +3lxo +2jdo +1k3n +1rgj +4zt8 +6dub +1zdp +187l +6dkb +3n6k +2h2g +4mjq +4a9i +2gni +3bgb +4ddm +2p99 +5nhl +6b4w +3sou +3sm2 +5qik +1loq +4yqh +4ynl +2f9v +1qbn +2r2m +3uod +2w0z +1fsy +1tmm +3va4 +6b0y +2adu +1sm2 +3ozs +5g42 +4h3a +6fbw +5tzw +1xkk +3tdu +2ity +4zwy +2nmy +5kad +3ncq +3p58 +6h1i +5x13 +3zev +1ftm +4dsu +4hla +5em5 +4kn2 +4ce1 +3t2w +2pgl +2yj8 +2z6w +3v9b +6fs0 +1dhi +4hdp +1a1c +4p0n +3n7s +2aow +1igb +4o9s +5xyx +5jy3 +4jht +2c3i +4itp +5yj8 +1aze +4yad +5e8z +2p4y +4h5e +3fuz +1f2p +5lm6 +4wn0 +3h21 +4bjc +3nnu +3d32 +5w38 +2p2i +5l2i +4jlh +4whh +3u6i +2khh +4gu6 +1snk +1ogu +2p0d +1zeo +4knb +3lrh +5a5r +5iok +4dx9 +2a0t +1qxw +3d83 +3pwh +5g46 +1yw2 +1bm6 +3qpp +4g19 +4fnz +3zt1 +3tv4 +1bzf +1m2r +3hvj +3mhl +4w9c +4imq +5k4i +3vuc +5qb3 +1pip +3zke +5f1z +4qvx +4zlz +3tfn +6dge +1htg +3rey +4l52 +5qar +2kaw +3hkt +5e1b +3ufa +5mgj +5cst +1qy2 +3hq5 +1at5 +1hge +5ty1 +4b3d +5mrd +4ovg +4pp7 +2w5i +6ced +4elg +3i6o +4mx5 +4pnm +2g0g +4kxm +6q3q +4gee +2f70 +2wd1 +4rfm +5t4v +1owh +4k7o +5lla +5ehw +3jsi +1ohr +5y8y +2mg5 +3i91 +5fdg +5ntq +4tz2 +2d1o +5ene +4mc2 +6ax4 +4aoi +1u3r +1sw2 +5fwa +5g6u +1puq +5ha9 +3s56 +3ckt +2jaj +2qlb +4tzq +5u9d +3isj +5kbr +3u92 +5duw +1uti +2hd1 +1riw +6flg +2v2q +6e86 +4e0w +5jf4 +2nq6 +1rek +2gtk +3efs +5j1v +4o37 +5qa5 +4c9w +3kek +2h42 +5jnn +1w0x +6chh +3av9 +3uzc +1l83 +2osm +5i89 +1nyy +4bqg +5otr +5axp +4z1q +4o07 +4alv +2k0g +3uwk +3k26 +6hjj +3o0g +3iu9 +4xg8 +4xya +1zfk +3jvk +5wxh +1xpz +3ds0 +2l0i +1pxk +4da5 +6fi5 +4pry +6bh5 +2vth +3tvc +4qsw +2pvn +5htl +5o7i +5wic +1fvt +4rio +4ufu +2ork +5dkr +3m59 +3r8i +1z1h +4jik +3oui +5o1g +5auw +6cjv +1t46 +4lgu +5xvu +4x3t +3qkl +3meu +3ove +5mw3 +2zcq +4n7y +4e4a +2avs +4e3l +1hbv +3tl0 +3g15 +6c5t +4ayu +5mmg +5k09 +3fj7 +4y3j +3dxg +5a6n +5lvd +6h7b +5gow +2qhn +1ppm +5y2f +3fi2 +3vzv +4r73 +5h5q +5gic +1g6g +4inb +1w6h +5bnj +5nk4 +5tbn +5ug8 +6bgv +3fzc +5mgf +4akn +4gfn +3bqc +2k0x +4o0a +2ds1 +3wnt +2ogy +6d28 +2it4 +3s0e +3u1y +3r04 +4knj +5q14 +1e1x +5cs3 +5hfc +5zob +5ant +6ft4 +1ijr +4lnw +4pyq +2r3t +3ik3 +1joj +3avf +1c85 +5w99 +2qic +4cc6 +5q1h +5k5n +5n55 +3rxj +3njy +3srg +4m0r +5nxv +5j1w +4bbf +4mot +6gf9 +1w4o +2pmn +1k6p +4qqc +1dgm +1a1b +5k0j +5ha1 +2rg6 +5fe7 +5uwm +4rr6 +4o70 +2wtw +2qhm +3gcv +4fmn +5kgx +2n9e +5fxs +4dk7 +5ml0 +4eeh +5e1o +6bw8 +3h2f +1yly +4avs +1avn +4jg7 +1g7f +4l1u +4dr9 +3ocg +5wal +4qjp +2lyw +1ydr +2r0h +4q4s +4riv +4cp7 +5d9p +1il4 +1idb +1hos +2xnn +5myv +5ti4 +3gi5 +3spk +1g3f +5iy4 +5h1v +1rdt +4ehr +4cst +3h0v +5z7j +5ta2 +5nu3 +3k3i +3gpe +5cqj +4len +4nmp +3b25 +5djv +4hxw +2jk9 +3bu1 +6alz +3qch +4jv7 +2jmj +5vds +2aie +3dln +3mv5 +5egu +6dki +3vrt +6dpt +2ggu +5jsj +3zya +2exc +5e28 +5k32 +6esm +3ekx +2dwx +5lrq +4m5i +1nq7 +4wrs +4eor +1g1d +5ofi +5eko +4mhy +1ndy +2cc7 +2nnk +1cka +3n7h +3pxe +4kz7 +1tcw +3v5j +2xp8 +4bv2 +1gyx +4i6b +1ox9 +5f90 +1rdj +3o5n +4uub +1n5z +6b1y +4hf4 +2qi6 +5l9l +1czk +5e88 +1mui +5vp1 +3vbt +3sh0 +4avw +2asu +1qf1 +3hjo +1iiq +1ztq +4lys +4lv2 +1u9v +5ii1 +4nku +3c7p +1hvi +5f4n +5f6u +3kwb +5ggj +3ztx +4uiz +3ueu +4cl9 +3ipx +1i72 +3dsz +3mhi +4e3o +4ny3 +3qd4 +5nzp +1lbf +1b6p +2ylp +3qxt +3twp +6ewe +5fjx +1m2x +5y12 +3f2a +1yet +1ov3 +4kwp +1yms +3p0g +4tz8 +5w5s +4ekg +6gh9 +2lsv +3h03 +3wb4 +1xow +4hra +4mk1 +1y20 +5yc1 +5lx6 +5x4m +5koq +4zom +5sz6 +4yyn +1syh +1kwr +6cyb +5fv7 +3shz +6b5j +5vd3 +3ew2 +5ia3 +4a4e +4a9n +4iue +2ewa +1akq +5ew9 +5a54 +4kow +5mgg +5oh3 +4hmh +4f3i +3kd7 +5da3 +4n6y +5iw0 +4ui4 +3tkh +5qc4 +3wzj +5l7h +2kdh +3sv9 +3uex +5os8 +5uwk +5u1q +5nw1 +4ck3 +1g42 +6esn +1ida +3jzb +5qby +1nde +6dne +1nvr +5ult +1db5 +1g27 +4oar +2zga +5luu +2l8j +2v22 +2ndf +4u6z +5nxi +6i8y +1lst +3fqh +2ivu +1s5q +5e90 +4l32 +3g5k +4bw4 +2xne +1cpi +3wd9 +4tun +2y77 +5laq +1ax2 +1b39 +3hrb +5dah +3thb +4bi1 +4gwi +5tg6 +3vap +4lkh +2q2a +2fle +2vwf +1g2k +5xhz +4zim +5fwr +6bqa +1g45 +2ao6 +3wt7 +5fnr +5z9e +3uda +3ur9 +3dp4 +6c7g +6d8e +2fde +4wt2 +6cgp +5zun +4cwb +4z1k +2ccc +1xgj +1ao8 +5toe +4bup +4pox +1gnn +3a4o +5kqg +1i37 +5uln +3gpo +3fx6 +1ke7 +3my5 +1jp5 +5eqe +4muf +5xhr +2wmr +5ap4 +5nwg +1nl6 +4oz1 +3hvc +4drp +4awk +5b4k +4fev +1o45 +4bcj +5nho +5y21 +5i12 +4wki +1ouy +4jv9 +4ez3 +3dd8 +5h7g +3pn4 +4enx +1bap +6enm +3vrv +2azc +3mss +3i60 +1zkn +4y87 +4m8x +5f6v +4fhi +5auv +3gqo +5dhh +5u7d +1xm6 +5cvd +3zmj +3wyl +4wh9 +2oq6 +2nmz +2xiz +4hbx +3ryx +5ans +5zvw +4zwz +4v05 +5jf2 +6c7x +4qsx +1m0b +1rm8 +3lhj +1ny0 +5uch +3sv6 +4ynk +223l +5orr +4o0j +3rxm +3rw9 +4z84 +4j21 +5n25 +4bky +5svy +5gmn +5u7l +1f1j +2oj9 +4r4o +4ql1 +3f7h +1skj +2wfj +3m5a +4lwc +3n46 +3ttp +5vb7 +3dog +2bve +5vfm +3uvp +4wno +2c69 +6eol +4q9s +3ip6 +4xoe +5y48 +5u7j +5f3g +1xh4 +4j79 +5ghv +3kr1 +4inh +2yek +1hpo +2e9u +6e99 +4u5t +2hwo +5byi +5e2s +4bt9 +4jt9 +6b5a +4mk2 +4idv +5lj1 +6d1m +5kpm +5sxn +3m6f +3u81 +6bsk +5nfa +1gui +5i1q +4m4q +4ow0 +5ur6 +1bma +1oiu +4ln7 +2a5s +5u5k +5e4w +4xtv +1tou +4q1a +3avk +6fmj +2lto +5m3b +3jxw +5vc6 +5knx +3pix +3e6k +5n3y +3jdw +4nmo +1ody +6bsm +2brn +2fmb +3nus +5n8t +5u3b +5wa6 +4nmt +3uol +5x74 +1ulg +3coz +5epl +3vzg +4l5j +3d8w +2wtv +6ge0 +4qb3 +5cdh +3f34 +3rin +5n2t +5oqw +2pvl +4p6x +3rcj +5i9z +3c4f +1o4o +3alt +5yid +4rdn +3ok9 +5y0g +5twx +1wug +4a6c +4lzs +3jvr +3f1a +4cd6 +4r06 +5h5s +5w0i +5e3g +2ydt +3hec +5ji8 +4olc +5ieo +5i2z +4zy5 +3t82 +4dff +4gw8 +2hxl +4bkt +1xk9 +1cwb +3mea +1bjr +5auz +1q9m +2i3i +5ivj +4l7n +3zmm +2a25 +4hmq +4zyy +2b52 +2xkd +1yys +4kao +1ke5 +6hwz +4d0x +4mzs +1sgu +3dkg +1s19 +3ppp +4rlu +5ovp +6cd9 +3qio +4wrb +5h9p +5na0 +4ael +5eu1 +3nw6 +1bl4 +2vsl +5vil +4o7f +1pw6 +3iad +5wev +4xum +2zmm +3lbl +4ppb +1q0b +4abi +1q6k +5ygd +4omk +5bqh +5jzn +5izu +2pre +5nut +3zps +5e7r +3rjc +3uix +5up3 +4i31 +2p15 +1ag9 +1gu3 +5ei8 +4psh +5e2m +5ap5 +4fob +1uod +3e63 +3mke +3io7 +4whz +4mt9 +4x21 +5icp +5al1 +3o9c +4xmo +5mlj +4wr7 +3iqv +4w9w +5fhm +5o2d +3i7e +4kz4 +2oz7 +2vzr +4d4d +6eog +2l11 +2vtm +5ef8 +4b2l +3g32 +4x50 +2oax +4c61 +3up7 +3r01 +5izq +6ey8 +6fyz +3t4h +2o4j +4bdj +5mek +4gvd +5qil +5go2 +2e2b +4bi2 +5l0h +5ugb +2wzz +5may +4eev +2y7i +3s71 +1h00 +4uat +5zt1 +5ml2 +3fpd +6h7o +3p8z +4ewh +4dai +5o55 +4puz +6f05 +3g35 +4dxg +5u2e +6c7j +4cj4 +4qsv +5upz +5yba +2f35 +1jt1 +1mwn +1c3b +3ual +1rdn +6dh1 +5mav +3t83 +3iof +6cwf +5ml4 +1erq +5t9u +1lhv +2qlf +6hm6 +3mnu +5mar +2avq +5fni +5trf +4li8 +1n4k +4l7o +2gj5 +2oh4 +1joc +1qxl +6elp +4qge +2yfe +6czu +4mk5 +5h5f +5tcc +4dpy +4h1m +3oim +6ezi +3da9 +3r17 +1bn4 +4lwt +3jpv +5fsm +4e6c +2ylo +5fyq +3mj1 +1zm7 +4nk9 +4qmm +3g7l +4zyw +5ih6 +4owo +5o5f +4x7q +1g2a +4x5p +1fhr +1ntv +3os3 +3lxs +3lxg +4gv1 +5n87 +1gz9 +1b6l +5kcx +2xni +1p4u +3r9h +5n2x +1bnw +3kaf +2fvd +3n2u +4q6e +1i2s +2f34 +6evo +2e9n +1d4h +3s2p +4o09 +1zaj +4k3l +4arw +4o9w +5dcz +3ttj +2xg3 +1uml +3qt6 +4wzv +1hxb +5l87 +4ah9 +5ma7 +4qgd +4d2t +1jk7 +5cuh +5w4s +4n1t +5oku +5nhf +2yge +4gs9 +6bu3 +2am4 +5wr7 +4j58 +1yon +4buq +3u7m +3u51 +3w55 +2gfa +4hyu +4kyk +3ekn +2pog +2bb7 +5d3t +5fs5 +5qaf +3zmq +5t1t +4oaz +6e8k +4aac +1akr +2qbs +5h2u +1lke +3cz1 +1s39 +5ttg +6gmx +1cim +3kry +2g9x +1o47 +4knn +1t29 +5ijr +5tg2 +4yxu +4i7c +1ke3 +4bib +3coy +5orw +3igp +2uw4 +4avj +3qcy +4uu8 +4rwk +4edu +5o1s +1mnc +4j74 +3rz5 +4eh6 +1c84 +4fcf +5w10 +1gzg +4qp6 +3ip9 +4yv5 +1nu3 +3ozr +5qin +4utv +5x9o +1okv +5m4c +4xhv +5ll7 +3cyx +4gm3 +5q1d +3bym +1ga8 +1p5e +4c4f +2mps +4w9f +3sz1 +4qjx +2v85 +5bw4 +2ael +4m8h +6fs1 +3twr +2qoa +4lk6 +3qtu +2qhy +3bun +4l70 +6cd4 +4ymb +6bh2 +1ppx +3r4p +3f9n +3rf5 +3hub +4fcq +5o1i +5m4f +1xp1 +3n1w +5nhz +4cg9 +4bf1 +3hd3 +5wle +2r64 +6ft8 +5ti5 +4tyt +5lma +3oct +3zt2 +3zh8 +3fl8 +3fqs +4xct +4mjp +3g2y +4p1u +5u11 +4o0t +3ux0 +2p0x +6cco +3opp +4lg6 +1hps +6axj +3udd +1zvx +4eox +2rly +3osi +5ei6 +3mbz +6gy5 +2hh5 +3nmq +1vjy +4hy5 +5lwd +1kjr +3rbq +3ujc +3ekp +3p7c +3fw4 +1ow8 +4pov +4k4j +1ow4 +4ovf +4gw6 +5a4c +2ovx +5q19 +1gwm +2kwn +4uce +2q2c +5oxg +4qmo +2b4l +3gjt +2b1v +3ctq +5tzz +1h28 +2aac +3kw9 +3qox +5wqk +5eij +4mga +5ak2 +5dp4 +6f8u +4nrc +5drt +3vhc +2lya +3mpm +4k55 +1qb9 +5hlw +4i33 +4cwp +3r02 +4muw +3d91 +3img +3qxp +4qmv +5u62 +4qtc +4h2j +1x7e +3opr +5u5h +2c6i +3n3j +4jmx +2x2r +1ajx +2yki +5u0e +1y2e +6gwr +6gu7 +5dxb +3rz1 +5kr8 +5jv2 +4xpj +4l2f +3bra +5w85 +5od5 +5ejl +2c6k +3pdq +4unp +4w5j +5yc4 +2jst +3rz8 +4eym +3b9s +5wcl +4mmm +2l65 +4lph +4kba +5eps +2wor +2oxd +4g0k +1u32 +3k2f +5lsg +3zrm +4lke +1o4r +5mw4 +4fcb +4qp8 +1htf +4q0k +4yc0 +5dh4 +1bqo +3sn7 +1hvj +3m3c +5h19 +3ryz +3a2o +4ea3 +4wx6 +4lge +3cwe +2hmu +5m9w +3jwr +2q70 +4iu0 +3bc3 +2wd3 +4ybt +5dms +1nhg +3cgo +3bh8 +3f6h +4au7 +5i3a +5d0j +6fzx +3ook +4mrz +4tyo +4rfz +5t54 +6bh3 +4hlk +1ft4 +5to8 +6aox +4x7o +4y4v +5oae +1h25 +2xch +4nzo +3mct +5dia +3ime +1h26 +3e90 +4j46 +5jh6 +3rpy +2vfz +5xn3 +4xx4 +3ppo +3s43 +6ar2 +3cyu +1qf0 +1ow6 +4mti +6f29 +1qsc +1uvr +4d08 +6gu3 +4b6q +4uu5 +3blt +2zb1 +3lm1 +5kbq +1gwr +3zrc +4mbc +1ie9 +3bgz +2k62 +1mqg +1qy1 +1mau +2x7u +3iqq +5h8e +2aig +5n9l +5flo +5tyr +5x26 +2drc +3gkz +5e6o +4qy3 +1nq0 +5e8w +2gu8 +5uci +1jm4 +5yas +4ojr +1h0w +5eou +4e3g +4euv +3lir +6ap8 +3g3n +3g2w +4iku +5bry +4wvu +1abf +2liq +2pl0 +4wcu +1jvp +4mrd +5jxn +2yjc +4qf8 +3k05 +2a4l +4xue +3ewc +4yzm +3d9o +3s8x +4mq2 +6ek3 +2hds +3kme +1zog +6ce6 +1xdd +5bvf +3lzu +2xuz +5fto +6fqu +1bzc +3pj8 +2auc +4bjb +4qo4 +3mz3 +5edc +6bqj +4oq6 +5ka1 +3qi4 +5ele +2ew6 +4bqw +5eni +4jve +3oy0 +6czv +2wti +5j9l +1o5r +5n1v +4fic +3umw +1a1e +1ax0 +3pj3 +5m55 +2uw6 +2bqv +4wj7 +3ibi +5h22 +4bgh +5y0z +3u6h +3dtc +3cr4 +2igv +3n35 +5dls +5h1u +4hv3 +4jfi +2go4 +2m0o +2qnn +3pxf +1bnt +4z46 +5e2n +1h2k +3uh2 +1b2m +5eiw +4bfy +5csx +2rjp +5o7n +3d3p +3zo2 +2hah +3n0n +6asz +3hv4 +3imc +4jaz +3r9n +3sw8 +5ggp +1btn +3bva +2wtc +5lom +6bw2 +3lzb +2i6b +5ytu +4je8 +2n9x +6f8t +4lwu +6ebe +5wap +2xp7 +3ql9 +1q7a +5dkn +2gnl +2e9c +1ajv +6e4f +1o7o +4bda +3rxd +1f57 +3zpr +2zcr +2w9r +4r1y +1kwq +1bl6 +1ej4 +4ht0 +4q09 +5jss +3qlc +6eln +3u6j +3k5u +1ws1 +5ew0 +6ft9 +5iug +2r9s +5vpm +4occ +3osw +3hy5 +4j86 +4dfg +5f1v +4erf +5h5r +1hee +3rq7 +1dxp +1vgc +3huc +5fqb +4mue +1qbs +1ujk +6fa3 +4xo8 +4ww8 +4qxt +5j3s +2h1h +5d7a +5nvf +3ej5 +1li6 +6eum +3fas +2vv9 +3suf +2xb9 +1qng +1h6e +3ap7 +4hp0 +1bmk +5xp7 +4iwd +1if7 +4ia0 +5j7f +5aba +1h2t +4mzk +4an3 +5jfp +5v24 +2xmy +3aox +4lwe +4qyy +4eoi +3pdh +4g5y +4okp +1xpc +3avl +6gzl +4g0y +2ax9 +3fvl +6c7d +1t2v +5bot +5yto +1jn2 +4k4e +1a94 +3ozj +1j81 +3e93 +4otg +2lty +6c7r +4xg7 +5dw1 +3ivq +2xdk +1gno +2gg5 +1d4y +5dqe +4x8o +3el9 +4kup +2kff +1w5y +2flh +2vwv +3rvg +4i0t +5ura +5vc5 +2ito +3adv +3wiz +4cfm +4j24 +3pju +1wvj +2yde +4zyu +3ua9 +3fc2 +2xp5 +5jer +3dcv +4ytf +5os2 +3gjw +4oth +1lkl +6ela +5vkf +4q1f +5usz +3ggu +1hiv +4d2s +6fkz +1jyq +3uvw +2qk8 +4cwt +5vkc +5m17 +1l2z +3s0d +4nxq +5iu2 +1x78 +6bc9 +5juz +5i7x +4ktc +4zs0 +4llp +4k8a +4e1z +2q64 +3s0o +4z0u +4lk7 +5m1z +1t4j +1g7v +5d7r +4y2b +6ecz +4jfl +3fyz +4g8n +4bie +4yps +3p4v +2fum +5c4o +4r3s +1cj1 +6f09 +4ce3 +4mo8 +4utn +5nxp +5t52 +3iod +1h01 +4deb +3su0 +4yhf +1y4z +3heg +2g70 +3p2h +2f4b +3fcq +2o63 +2xyf +5ka7 +3oob +1h2u +5a00 +4qf7 +4nrl +4du8 +4qtn +3sue +6fhu +1qs4 +5u6b +5edb +2p2h +5gtr +3cbp +2cgw +4bio +3gwt +5t8r +6fo7 +1g9t +3kr0 +5c83 +3f8c +5nk7 +4cfu +5e2r +5fl6 +1ms7 +4csj +4yat +4f1q +4lm1 +3oad +4bd3 +6h7n +3g3r +4dro +6bsl +3zyb +4o43 +5q0l +3wch +5orb +3zeb +4pyy +4b0j +1jq8 +3u4w +5jhd +3hmp +5hg7 +3zlx +1gny +1il3 +4daf +4o0x +5ygi +6gla +3d9l +5edq +4bci +4e4x +2qdt +3wuu +3udv +4dkq +4bfp +5i2e +1qaq +4ahu +1gx4 +3wi2 +4de2 +5g2g +5nud +4hcu +2e7f +4l1a +4qsm +3sxu +3uqg +5lif +5ntt +3vsw +5fos +1qin +3e7b +3ny3 +1k6c +6fc6 +2gnj +4zy6 +3u8d +2aou +4b0b +5t2p +5efb +5u0d +5vjp +5bui +5e13 +5f5i +7hvp +4vgc +6b1h +1cqp +4w50 +4ehv +5kqf +3ws9 +4xkb +3str +5nkd +5mpk +5kqy +4lw1 +1avp +3qdd +5xxk +4hxr +4pns +4i5m +4hgl +5fqp +2iok +1n0s +2rr4 +2b55 +4kc1 +2x39 +5joh +2w0p +1o0f +3haw +5w44 +2xhr +4ge1 +1evh +6b30 +1g35 +2qfo +5gjf +6bt6 +2gg3 +1xt8 +5e74 +3acl +3qxv +3iwy +3ttm +5n18 +5nxw +4muk +4hcv +4i72 +1qtn +4awg +4rfy +3ud8 +5cuq +5hey +2ko7 +3oil +5o3q +4k72 +3hv6 +6df7 +5er4 +5ugd +1ciz +6hdq +1a7t +6fky +5n1r +5bqg +3b8r +2pfy +1fd0 +1y3g +4joh +4pms +6fx1 +3ioi +2xbj +1bnm +4tuh +4hwb +5h85 +1x8d +3uoj +2aog +3o5x +2o4p +1fh8 +5otz +3lnz +3rak +4qyo +3mxd +1kvo +5oug +1g4o +3mvm +2cgx +3v2x +4m2u +4q1b +3ggc +2c68 +1laf +4kxn +2ada +1om1 +5eh7 +4q93 +1b8y +1x11 +4mr6 +4c4j +1osv +4y7r +2hdx +4ui6 +4r6x +1pxi +5ni5 +1h0a +4pf5 +1o4m +1urc +3ads +4mrg +5ylt +2xl3 +4auy +1zoe +5csh +3gbq +5xs2 +4ggl +5a14 +4au8 +5n49 +5x8i +6c7f +3fvk +4kqp +5y97 +6gub +3lox +2oc7 +1ilq +5vcx +3svv +3v5g +4p7e +4umu +3v4j +6gfz +4yti +4nus +2o9i +3ia6 +1e00 +3n8n +3kxz +3owd +1gx0 +1d7x +4ago +1pxj +1zoh +4i7j +4hlg +3wiy +4k77 +1hsl +4tjz +6cbh +6g38 +4efu +5wep +3wfg +5lvl +3b5r +3w69 +4c4h +5mgi +5ad1 +4i7b +6cwi +3unj +3isw +6fzu +5wgq +1yhs +1juq +2v25 +5o5a +3r0h +2ieh +2fqy +1p7m +1guw +1gbq +5thn +4xoc +5ugc +4h71 +5i43 +4jrg +4azp +5sz3 +5hbj +1npa +4b7p +3biz +3lxe +5qav +4ge6 +4k1e +3vje +4qp9 +1w5x +2rin +3omc +5ii2 +3pax +5elq +1ec0 +4qd6 +5n1x +4ucc +5ocj +4mul +3lok +2e5y +5kyj +1nnk +4n9a +6cvd +4tkb +3tfp +5a5o +5nsx +6bbv +5myg +3ws8 +6ex1 +2vw5 +5iyy +5div +2r38 +2wqb +3gxl +2pgj +2i3v +2o4r +1dzm +3djo +1p6d +5mih +4xt2 +5v19 +6g9k +4ipf +3bim +4nwm +3blu +3vtc +3nww +3wzk +3gvb +4bt4 +2f6v +5m53 +1z1r +4clb +2lbv +3w9r +4yes +3sl8 +2h03 +1qnh +4cpx +3r5m +5uwf +4cjp +3uu1 +4bxu +3h30 +1cnw +6gdg +3oq5 +3wig +3b65 +4xcb +3wf5 +5h15 +5htb +3h5b +5anq +1apb +2ai7 +1lrh +1ove +1xk5 +4fiv +4mcv +1mrw +5isl +5cj6 +3nil +6fni +4hbv +6h2t +4q6d +3b8z +5u2f +4q90 +4l0b +1z6s +3w5t +4dei +3ikg +5j7p +3owj +3hkn +3qtx +3qzt +5bpa +6fag +5nfb +1o43 +3vby +5vjn +3skc +3bg8 +1tc1 +5orh +5bq0 +5qac +3uj9 +6byk +5kgw +4wvt +1bv9 +4ruz +1fzq +4y73 +3upv +4jj8 +5xvf +4ewn +4ewr +4a7b +4u69 +1qb6 +2gnf +1u3q +3g31 +1eby +3uef +4k0o +5ehi +5h63 +1hii +4aua +3bxh +5g5v +3s22 +3obq +4xy2 +5b0x +4m5g +4czs +4lm5 +3qcl +2xno +1hfs +4j7d +1fw0 +3mz6 +5obj +3gm0 +5ml5 +4r3c +4jck +5xhs +5mwz +5qab +4eki +2exm +4klb +5ikb +2qhc +3qck +3zo1 +3m6r +6dh6 +3p8n +5f3e +4uyh +5uoy +4gr3 +6cyd +2f14 +3h2m +3ao2 +3gfw +4q19 +1oxn +4o3a +4mg6 +4de5 +6dgy +4de1 +4z6i +2r4b +5q0z +4b33 +2koh +4qyh +5y94 +6fo8 +5lj0 +5yqx +5c26 +3lk1 +4oru +4k7i +5fsy +3ava +2z7r +3s3k +4hgt +3gk4 +2lcs +5fas +1lyx +6edr +1dg9 +1czq +5f39 +2bpy +5op5 +1xuc +3hmo +1v1k +5o22 +3qt7 +4bco +2p3i +6axq +5cyv +1dzk +3lnj +3fsm +4ghi +2nqi +6fr2 +1bnn +4rrf +5jah +6apw +2wl0 +3oe5 +2uyn +2nqg +2zvj +3mw1 +2c5n +3poz +5ax9 +5tdw +5n7b +5axq +3pxy +2q96 +3kjd +5cf5 +5e0j +4kjv +4e1m +5m34 +1xqc +5brn +2d0k +3s8n +3p5o +1xh5 +2b7a +1thl +1jmq +5h7h +5mz3 +5q1g +1bkm +3pb3 +2a8h +4pax +1zaf +3mb6 +2fuu +2j6m +4rll +4kzq +2uym +5v84 +3bm9 +4egk +2q8y +4daw +2lfv +3fdf +2m5h +1zkc +4jmj +1kew +2eny +3tzg +1h2v +2kin +1k77 +3cty +1v87 +2zov +2cdc +2pq6 +2wlr +1jhn +2fiv +4efj +1wmz +3qvq +1o69 +3tj4 +3hbj +4at7 +1kqr +2r55 +3kp8 +3igr +5ch8 +1pc6 +1qp8 +1v6b +2m5s +3dsm +2wno +4krd +2jqq +3p8k +3tc3 +3tco +3k7b +2fa1 +2ohf +3gwn +3dnh +2bv6 +2zxe +3doh +2dyp +2r3b +3ruy +4hd5 +2o30 +3ep0 +1za0 +3ci9 +3rga +1mil +2gf6 +1szl +4h63 +3fmg +4e98 +3eap +2jv7 +1v47 +2yb1 +4jzj +3cp7 +2ki8 +3i7d +2ksd +3ddl +1lwd +2ou2 +4hia +1v85 +3no4 +3o5y +1gai +3apt +1uey +3gux +1q45 +5tev +4i6k +2bkd +4maa +1mdy +4hcj +1ob8 +5kso +1qgn +4ffg +1fmc +4wx8 +3m21 +2ebq +2x4g +2oiw +3wpw +3hb0 +2d7u +3t9o +2x4h +1qyd +4wpg +3u4y +3jsc +3kxp +3v9r +1pzw +2dip +1ln1 +2hh3 +1aw5 +4lbh +1ypf +3tvk +4i1l +3lbx +3k1r +2py6 +3u4g +2r78 +4ovq +5cbg +2y2m +4pf6 +2x98 +2qs9 +3dmy +3ug9 +1q40 +1ysy +4s1p +4v02 +2yq3 +1rw1 +3e3m +2wmm +1e0f +1k3s +3r9b +3lp8 +2jtq +3ng7 +3ns6 +3gw4 +1xwj +1e69 +1vl4 +3eby +1y88 +3n3f +3jz3 +2p2u +2b7n +4d2c +3gge +3cjd +5g0x +2c9l +2wy3 +3swn +4j25 +2md0 +2h0e +3mpk +1a1v +3qyg +4v19 +2jjx +1g66 +1jg7 +3ore +3w42 +1wwu +3tgu +4q69 +2dzm +3nnf +2b20 +3eye +1lwu +1ks2 +3gld +4ku0 +4err +2l2q +1nf2 +4ghn +1cou +2oa9 +2gkm +2rts +1wfw +2k6l +1u0m +4oke +3jwp +5idq +1v2x +3uaf +2e9x +1di1 +1vjh +2cru +2ebm +2c6u +4g6x +4ize +1f8w +3g9k +4o4o +2i5i +3gn4 +2eqm +2fp3 +4u08 +5ddt +3qfw +1x53 +1id0 +2ln7 +2xz0 +4r6h +1lpv +3u4k +3e1y +3cis +1ztg +2vvd +1q8c +5adx +2x7v +1ewf +2mdg +2hz8 +3kye +1h03 +3lqc +1u5u +3tlf +4oko +1uwd +2luw +1q4t +1mky +3n72 +4qrn +2i33 +3czp +4iff +2was +1uwy +1ylo +1es6 +3zid +3jv9 +1q5y +4uur +4u2x +3phs +1yzm +3vea +3drn +4p25 +3fka +2jsc +3isa +1sxl +1fcd +1sfe +4b9d +1o9y +2h6o +3f62 +2zih +4tv5 +3cs5 +1c7h +5h1s +3hkx +2aw2 +2m6r +2jnf +3j7y +3o1l +5di3 +4hes +4ng4 +3tv0 +1p9o +3gia +4iv5 +2r11 +2i3f +1k1e +4xfk +3c5c +1nty +2rft +1yqs +1yn8 +1ggl +1sr2 +3iqt +4dkw +4agr +2psp +3zi1 +4k51 +1c44 +1x13 +1e7p +2h8g +4k6n +3l8r +2w3q +2xcj +2x5x +2rau +4i6y +4ohv +1z54 +4pon +1bqs +2jz7 +1aiw +3g2b +4bfi +1oh1 +3tc1 +3g1j +1a8u +4rs6 +4f3v +1io7 +3sq3 +3ft7 +4mea +1tly +4p6b +3ozh +3apa +5kbw +3bws +1m8o +3o7b +3x3b +2id1 +1bxk +1tme +5tt1 +4jzs +2k3o +1wnv +1v74 +4arn +1wz6 +2dmo +1ohu +2lis +2ree +1te2 +2xse +1ahj +3a07 +3ocf +1h6f +2d4u +1vqv +1yn4 +3v8h +4qys +1nz8 +1fzt +1hj0 +2d4g +4nfw +3dra +1oi0 +1n3h +1k8k +4ibn +1o9n +1pkp +3pzl +4zhb +3e15 +3rh3 +3kb5 +2q58 +3imi +3vxg +5ceg +3dkr +2nco +2gpr +1qgu +3h05 +5b7y +2i44 +2b4q +3ssu +4rhe +2ma6 +4o6k +3kuq +3gl5 +2uy1 +3clm +2o3b +2m9k +2onf +2hw6 +4q5e +4pav +1zuu +3ga8 +3h3i +1iyr +3nbc +1sbp +3pv2 +1ddv +1x5i +3vk6 +1pvw +2r16 +1mn8 +3ll9 +3lx6 +1pz1 +1ujr +4uw9 +2l0d +1z2q +1l8d +3umo +2z9v +2e2e +2i3d +1tkn +4ruv +1x4s +2no4 +1saz +3ha4 +1xy7 +5d84 +3p5m +3t57 +3c24 +3lp5 +5itw +1r4a +1mfw +2qi2 +1t4l +4rvc +1bir +1i9z +2vlg +4jj9 +3v3s +1m7g +1v4e +5ibk +3vw4 +2m4g +1ex2 +1yxr +2gpi +2znm +3iq2 +5c4y +4cq4 +4ikc +1hv8 +3cjx +2r0x +3t8i +1lp9 +1sp4 +4kd5 +2heq +1vi0 +4dsq +2bz0 +2ka6 +4p1z +1whn +2dla +2hep +1h31 +3hhf +2kob +1zt4 +3icv +1f3z +5h20 +1sg2 +2khz +3imm +5t3u +1f7c +4b6l +3bm3 +3l1a +3a8u +1t6c +1osp +2irp +4lsw +2fa8 +1ltz +1kzq +3uce +2xot +3fay +1xd3 +4jwv +1ac5 +4uv3 +3chm +3hur +1lyv +4j8d +4ius +3h4r +4auc +4jer +3pg6 +2ewt +2whn +2g0q +1psr +2zg6 +4mix +5e3x +2ane +2k7v +1w9r +3irv +3vjf +3ler +1sq2 +4i16 +4yfb +3gke +3le2 +3lpa +3r8y +1v38 +1jwn +1su0 +3ss3 +1bhu +1hae +2qho +1id1 +3mwm +1upq +3kuz +3ld7 +3lkx +4go1 +5joe +3gfo +1naq +3nyw +3u7i +2dis +2e5k +2d3j +2o8y +3sy9 +2yiz +3cwq +1xs1 +3cqx +1q2z +1wmi +1vdx +2yo2 +2qa4 +3m5w +2kjg +2pk0 +1lw7 +1tiy +4ly4 +1wyc +3duk +2bbu +1iej +1s1f +1wcd +1tu1 +4bgp +4im6 +2dk1 +2zkl +1i1n +2yqp +1sjd +4zdt +1stz +2obb +2r2c +3f8d +4glk +2f1k +2yqd +2awd +4asn +2o0b +2wbt +2oyh +1jg1 +1wff +3gae +1di2 +1od3 +3bxj +2dae +1k85 +1oyg +4bh5 +1v8o +3i2n +4lk4 +3h8l +2jms +2lh9 +1y0u +1zhc +1t0b +3kdg +2yve +1fjr +1ge8 +3zua +1yp1 +4d86 +3o03 +5c0p +2a2f +2ch1 +1fot +2gcu +4c7n +1hlo +2rc3 +2csg +4jdm +3sl2 +3nt7 +3hss +2edd +1iar +3sr7 +3kl0 +3i2d +1xq6 +3jqw +1vpa +2hqr +3rgu +3fm3 +1x68 +1b63 +2euc +1ax4 +3fdq +3ats +4q7e +1ghe +1ohv +1vj7 +4z9e +1gze +1gp0 +5d18 +2d1c +2bmu +2qc5 +3qj4 +1fmj +4htf +1iie +4evx +3rmz +2f40 +1tu9 +1bw6 +3p52 +1wz7 +3hl8 +1uen +3hw5 +2h3h +4g3v +1n97 +3knz +2kfp +1e5d +4bwz +2v9d +2ozn +1chk +1g62 +2fi2 +2khx +1t6t +4i99 +1bwd +1ash +3l9r +2fsr +2jm4 +3svk +1z3x +1iyg +1wwt +4xt1 +3ijt +2d42 +2jfq +3urr +2z04 +1x5h +5b57 +3tfm +2xvy +1t8q +2wc1 +4io2 +1xio +3we7 +3k5i +3esh +1hbw +4p27 +4ium +2zc1 +2n3l +2raq +4ato +1gjs +2g9o +1y7u +3t54 +2ccq +2hq4 +2r48 +4n8n +3uiy +3zxf +3anz +2cxx +3ec8 +1ie0 +5ji7 +4p16 +3r4y +1s0w +2af6 +1h6l +1pm6 +3vfd +1j1n +4g0a +1weu +4v2d +2ii2 +1o0w +4hz9 +2isy +4n6d +2yzj +3sy8 +1zrt +2qhp +3v93 +1fj2 +4c6r +3un6 +2dfl +2r1b +2csh +1g6h +4nq8 +3tsh +4mz2 +4hbq +1pbu +2jv2 +1dqb +2cg9 +4qf3 +1xut +2d1h +4kt3 +2gk4 +1zv4 +3p3d +4hty +4d70 +3eeb +2dlb +2cb4 +3dr5 +1k6j +2z99 +2cpd +2oho +1qz8 +2car +4f9k +3awu +2hwy +5i4c +1sxe +4yis +2lxf +3dp7 +1ad6 +2yw6 +1n0l +2zcm +4e2t +4ehc +3bjn +2lnj +2l09 +2m4e +5bq8 +1jmo +3ot2 +4p0f +4ebg +2cvi +3n74 +1kkx +1y89 +1te5 +3ef2 +3w1h +3cjr +2eo0 +3ld9 +2dnm +3mz1 +1t4y +3onm +2ql3 +1e8o +2jee +2m05 +2gzq +1ad3 +3mx3 +1z7a +2i0o +2l9f +2jaq +2xko +1b01 +1qus +3k7d +1x43 +3ud1 +3il0 +2i2x +3ado +2dsl +4w9n +1u2c +1k07 +1tbn +3kbh +2z1d +2b9b +1s9i +4gt8 +1at3 +2jxl +3frw +2l7r +1bcc +2ejq +1cg2 +4ww7 +2qh9 +4oci +1t3g +1m32 +1cjc +3bee +4iqj +2vx2 +2zyq +1f4s +3qjl +4mym +5jhf +1uek +3lf5 +2e7x +3ew7 +4p56 +2z5c +3a7s +2i06 +2pet +1vgp +1qmy +4ktb +3ksr +1t9k +2llk +2w01 +3zyi +5d6e +4c5e +4izb +3b7f +1cyu +4b6i +2pwj +4l2i +5d95 +4x2c +1thj +1kap +2a1v +3iup +1q1a +3iv3 +3e57 +3i4u +4n5x +2lv3 +1dun +3h75 +2gm2 +2jwh +1ava +1tr8 +4xky +4c98 +1wfo +2jo7 +4b62 +1xee +5tqj +3efe +3m70 +2fki +4egw +2ifc +1trb +3vv1 +1uta +1wd5 +4cgx +4nmk +2oh3 +3n9v +3oio +3e3r +2cvb +2g2d +1cs1 +4pt1 +1wtj +2p4o +4otp +1ais +3qpb +1n7k +1z3s +1op1 +4j27 +2tpr +1m3s +3hph +2vzb +2dgx +3bkh +1d9n +4d47 +2hcu +3ue2 +2liu +5e8d +1jil +1hdl +1pls +2qyb +4apx +3er7 +2kqr +3gt0 +2ygt +1t33 +1ich +3nr5 +2m71 +3nv9 +2ccy +3py9 +3e8l +3rjt +1z3a +3sso +5e6t +1qhw +2atf +5h80 +2he7 +2ouw +4u9c +1pgv +3ijm +3eix +1cbi +2ej9 +4m0x +1j72 +1foe +2qgq +3hzr +1fxr +3oqg +1ddb +3c5v +3rcy +3qyf +2jsx +1x4p +4hkh +3ww7 +3hrd +2oo4 +3oep +2bw2 +1irl +1f53 +2pu9 +4p3f +2xli +2kck +2a3n +2q03 +2va1 +2o0m +2hsz +5eox +2d9t +3kh8 +4fa8 +2jfr +1wgv +2qjt +3uh8 +3n91 +4ino +2hqv +3bc8 +1bbn +3ffh +1d7u +3s99 +2i50 +3s5n +4r7v +3jvn +2atc +1wfy +2mw8 +3kxr +2mq8 +4h61 +3tes +2qv0 +1ak0 +3k6j +1kbh +1avw +3gbw +1x5k +4o5a +1rc2 +3lyb +2ysh +3vpp +4wzu +3bcz +2ekj +3h2t +4hzi +4iiu +3cra +1ylq +1usc +1nst +4isc +5bpb +2of3 +2qj8 +1i7o +2gs8 +2e2o +3qc2 +2wkb +4aez +3was +3fss +2qne +4uop +1wap +2o8j +2vpi +4bt2 +4yac +1gg3 +1qnr +2wii +4myb +1k74 +4l3u +2wfh +2csj +2lg4 +2qwt +1zxh +4tvs +4n6k +5aww +4f3h +4gbm +1o1y +3lmf +1svq +1hss +1o75 +3d85 +4ch7 +1wgu +4xxi +3fgy +4kw2 +2i9c +3mkq +3ms6 +2k47 +4nkp +2x0c +2fi9 +2ga8 +3a2b +3cj1 +1rtz +5ig2 +1nez +3dkt +4ush +1n11 +3l48 +2oi2 +3fd3 +3ian +2yno +3bba +3abd +1zwx +2q5x +2vh3 +2k4v +1w78 +2plr +3ctk +4bem +1tgr +3pfy +3qvo +4lec +4fp9 +4fg9 +4p0g +1hr7 +2rrl +2z67 +5awx +4ao5 +2d0i +3aab +4mct +1fx8 +1sfx +2bhk +3m6n +3zwf +4e0a +4dvg +3isp +2ciq +3k9v +2j6l +3mvs +2max +3rau +1zgx +4i1d +4frf +3ck2 +3m9z +2rih +5eya +2yuk +4ilk +3mxq +3lto +1wf1 +1hw1 +2xwx +4rmo +3g8y +3wa8 +3dtt +1r71 +3fze +3lkk +3e2v +3pqa +3vtf +2pnq +2ms7 +2dlt +3dde +1agq +2gta +2ee2 +3e38 +2a15 +5c68 +2zj3 +1k2e +1xs5 +4atn +1a97 +2orz +2xi5 +1kil +3nyi +2qjg +3pk0 +4chd +1lj5 +3r79 +2nab +2duy +2gic +1qfj +1hci +2yzh +3aa0 +1f8i +3r2c +4g7w +4epk +3bil +4pj1 +4f98 +1yw5 +3spd +1dfx +3ghj +3d4g +2d4z +3cwf +2g36 +2dmb +1jkm +1fgx +1dxy +4lk5 +2zot +4qsc +4bw5 +1htj +4pkc +3sl7 +2e56 +1in0 +4n8g +1jfk +2vgm +4bz4 +1cja +2cdo +1l7m +2zeq +1sur +2kr5 +1cpc +1fne +1bry +4k0d +3fx3 +2yn3 +5t5l +1db2 +4f78 +4k08 +4eqa +2q18 +3ey7 +4esq +1azw +4h59 +1gz0 +2hc9 +3tqd +3m6z +1wnh +2mhp +3vwd +1rh5 +4o2w +3dad +2cay +4ofk +2cpm +3cq9 +4kz1 +4m7x +1tq8 +2cwy +2ghr +3k25 +4hh2 +1ivn +4qxa +4k4k +5m72 +2fi0 +1dos +2jlm +1o6c +1udd +2vn6 +3ch4 +4evq +4l6w +4bz7 +1gso +2od0 +2iex +2wb8 +5iz4 +4id9 +3i71 +3kxq +4uas +2oaa +1uli +2l0r +4epc +1jxh +3p86 +3wew +2g84 +2ebn +2ehg +1fn9 +1d1o +4tkz +3wg9 +3zok +1ji3 +4ich +1u6f +2y0n +4lqb +1q6w +4rmm +5azs +4be3 +2a4v +3nap +4tm5 +2d9n +1tiq +3j7a +3orv +3lr5 +2k85 +4iyp +1imh +4ks7 +2ecj +1whj +3ifv +1wnf +3c7j +3caz +3o6n +4e8u +1al3 +4wzx +3nt8 +3khx +2mkh +3slg +2k6m +4r3v +1ttz +4ijd +3zpp +2y2z +4ggv +4n6r +4hff +3dg6 +3n8b +3kk4 +5b42 +2hi0 +4lvq +4c3s +2i7g +2eo9 +3b2d +3kcp +1zbd +1z1v +2i83 +2fjl +3cwv +1mki +1nd9 +4p9t +2hbp +1ba2 +1kps +5cfl +5hzl +2ffw +1h6v +3pgg +2j8i +2h00 +4ip8 +3lcc +2cb0 +3gk6 +4eku +1xsz +5cjj +2cjp +3gdz +1txj +2i5e +2zbi +1bia +4ojm +2ec6 +1pgs +2qzb +1sk7 +2oqt +2r6v +1s14 +3dh1 +2m3a +4f0u +2j66 +3icf +4kis +1gl2 +2r2y +1nye +1xkg +2ku3 +1hyo +4rlz +1e5m +3eua +4k28 +4uiq +4zpx +3pdd +3fgx +5ail +1cmj +4wv4 +3l4c +1pdk +2zop +4u13 +1y07 +2ee4 +2r0q +1idj +3klu +3vpi +2gx9 +3igs +4eut +1lm7 +2ebz +2d8d +3fdu +4oo1 +3hiu +2k8q +1wcv +4kt5 +3qhq +2ln3 +1mn3 +3r87 +1rso +2jhj +4jg9 +1ng6 +1h12 +2yv4 +4jgb +1vfg +2eqx +4ggj +3eni +2de2 +3ow8 +4dnj +2g95 +1r2f +3ju8 +3jte +3fdx +2mjk +4dzd +1st9 +2crw +2p4g +2cyy +2lml +4ijn +2yko +2v6z +2cqh +3f1s +4oqp +1urs +4p1m +3of7 +1fl7 +1j04 +3fid +4r9p +2it9 +1tzb +3nxh +2fr2 +1kam +2kjp +2k13 +4pht +3hdx +1agr +3ngg +2dj6 +1e1h +4mzc +4dql +4fwi +2cpq +4h79 +3e6q +1wf6 +4xa8 +2oug +3bn6 +4eqs +4hdo +3aqo +1e7l +1njg +4ind +3syb +1gyc +3zx7 +3a6m +2aua +3rrk +3m20 +1i8f +1f9c +2w5e +1g5q +1p5u +3c97 +3kq5 +1iqp +4nlc +2etj +1e54 +3nyy +2kvt +2qb7 +3tm8 +2xu6 +2e5r +4tm3 +1f2r +1j7x +1qpo +3o63 +2lrg +3e9l +2ja4 +4ew5 +4a37 +1ojl +2ere +1zhv +3ggy +5c5u +2myj +4c23 +3me5 +2gi3 +2gs5 +2ymb +2daq +2wbp +3vv4 +1s4i +1vk6 +2q2g +1xe0 +3shr +2cov +4kbm +2esr +4ebr +2r75 +1g7e +2x8k +3fan +1g03 +1fy2 +2ksv +2ltl +4zwn +3t7v +1jl5 +3v1v +2crm +2hls +4dhd +1dku +3dmg +2wm5 +1vjt +5ewp +1o07 +3l39 +1cjm +2fd5 +4qmh +1iyz +3nat +1zl0 +5fmn +1f8g +3eli +1szh +3pqh +1roz +4hyl +2w1q +5l6g +3don +1wqu +2q0y +1x6i +2yy7 +3p0c +2k9h +3vzb +3exq +2kou +2m9m +1qqe +3go9 +2acf +5b0h +4pvd +2xdg +2qm1 +1nqk +2ou6 +2vy2 +3umc +1i9d +3pf2 +3mbd +1fuu +2e6q +1v6z +1tbx +3ewa +2ypy +4ea9 +1nyu +4l80 +3lx7 +1f05 +2gno +4lqz +4atk +4eah +3swx +1n2s +1edz +4uqw +2xwp +2kxy +4og1 +4n3p +2b3f +4pbp +1cne +1owa +3pt1 +5dov +2lhj +1sdo +2i5g +3a57 +2rgy +1r5m +1pc3 +1ame +2k1m +4cru +3ivp +2lkg +4e9j +3g6s +2cr7 +1hjb +4fd4 +3cu4 +4x00 +2bsy +2h31 +1ccv +3go2 +2hjm +2l2d +2fic +4bv4 +2in5 +3mcz +1umq +3l8n +1vca +3t1i +4gbj +1ucr +3kwu +4odj +4q9b +4ddn +2q00 +3wgt +2pzh +2fb7 +4v1a +1j9i +3rk6 +2uv4 +2c81 +5i2l +3u0v +3am2 +3sb1 +1uw0 +1wc2 +3kkb +1a92 +3ux4 +4a6f +2yy5 +2p04 +1c8z +2hoe +2kds +1t71 +3hx1 +1rcu +2o28 +2kki +1eq7 +4ead +1zki +1xjt +1lcy +5dze +4od4 +3qef +4m7o +1kq8 +3dnx +3ib5 +2do3 +3rht +3qd7 +2gqf +3vzh +4g56 +3pp2 +4yos +3kw6 +4orl +1bf6 +2rqr +3k1w +4ege +4x7r +4cnm +2cxc +4xnh +2zzt +1c41 +2q7r +5fvj +3tl4 +3s3u +2evr +4gp6 +4k2b +2d1f +1hxm +2yms +2lna +3kg8 +2vg1 +1v8h +2kxr +2v3c +2pjy +4f52 +2lcl +1jnm +1j5w +2bfw +1faq +1h3m +1pcf +2w7z +3f1t +2fqp +2zgi +3h7i +3sjn +3ho6 +3irs +2if7 +2k6v +4ndh +3p8a +2p5k +2x5g +3w1s +3tf8 +3gqq +2aby +1j2z +4zov +3ty4 +4lhp +2qtf +2kcw +5b7g +1d8b +1i69 +1whu +4a8x +1dmg +2fct +3at0 +3qy7 +3hc7 +2qyv +3bb8 +1h2s +2fyu +2cjs +4mcw +3c5i +4y0b +2rlo +1mfz +2fb9 +5dck +3zyt +1s3q +2xc8 +4mu9 +3fok +2jh3 +3iee +2yij +2gc9 +4i6x +1znn +2oyc +2lvs +3nqn +4kg0 +2iqt +1p72 +3slp +3vl9 +1vlj +2bbh +2i5u +3pii +1t70 +2ike +3pyf +1fyh +2nwa +2hke +3fgr +4pbq +3tr9 +3bl4 +3og9 +2m7l +1g31 +5cqf +2c20 +1nps +2kno +4nzd +2c26 +2eqn +4cvh +3pjv +1lp8 +3h5q +3sht +2kgf +2pcn +4xym +1e8r +5f47 +2of5 +3pnt +2fbl +3bje +2cxa +1h9c +3pam +2y23 +3n2z +1rq6 +1kf6 +2e6m +4qhr +1wa8 +1xbs +3ci0 +4af1 +2qsd +4lab +2xqh +5tk8 +4wui +2uxt +3a2e +2dfu +3v4d +1n1c +2ope +4mtu +1ve3 +4izo +3f8b +2wkk +1cg5 +4iyq +2eci +4e1p +5fmg +3aux +3icl +2vtw +3e0r +1vjf +2pb9 +1nay +4l5g +1qs0 +3huu +3q1n +5t5q +5fr6 +3i3o +2x48 +3r6f +1sf8 +1wxa +1ev0 +3s8w +1ka2 +3gne +2ctl +1g7d +2kdv +1r5b +4gd3 +2v0o +3pu2 +1jjv +3um7 +4lg8 +4l8n +2kie +3jyu +4ix7 +1tt5 +1ny9 +2m8e +4g1g +2eg4 +1wyu +4r24 +1idp +3cpr +2k2s +4euy +4g43 +4hsq +3bb6 +2crq +4mo9 +2hpg +3wxm +4pwy +4aib +3h4q +4lda +3mvk +2a7k +1q9j +1sed +4pl9 +2vsm +1pjz +2ekd +4zkd +1ybx +1ezg +3t5v +3u2g +2pag +1wew +2vy9 +2gef +4beq +1fje +2ccv +1qhn +1e9f +1ejd +1j7q +4huj +3ccg +4k2m +1g01 +1tq5 +2jks +1tm9 +4j20 +4hcw +1dxl +2v1n +2lu2 +4qak +3alr +2itb +1mzj +3zm8 +2ma5 +3s6f +4hnl +3ebt +1xak +2yq1 +1yb2 +2glo +3n12 +1x5e +3mjq +2gi4 +1oy5 +1cz3 +3htk +2ovs +1sse +3bbl +2n8k +3o8s +1n71 +1xa3 +4dmz +1e6v +1j2v +1oki +3rnv +1jos +3onr +4za1 +2eo5 +3fsg +2mbe +2kz0 +3j26 +3zeu +3odh +3t5q +4my5 +2q24 +1auz +1dfv +3grc +5k9z +3nur +3hva +4g2u +5h02 +1jr2 +2j5z +2xzr +1flc +2vef +3fyn +2jhn +2cok +1r79 +3d6x +1hbx +3bt4 +3web +5l3q +4rsl +4acy +3qxl +1ft5 +1q3o +2z6i +1p50 +3ng0 +3wv4 +1f3v +3fhg +1h4u +3lrq +3kxt +3owr +3hib +1vr3 +1wi9 +1huf +3wae +3mkl +2frg +2yb5 +1wvh +3c3j +2iu4 +1a3g +2ov8 +1uf3 +2xu9 +2eo2 +1y71 +5faa +4yo7 +3qqw +3soo +1qpp +3k5e +4hpl +1vpc +1i7x +4e6u +2bhg +2h6c +3iu6 +2gmq +3lul +4x90 +1evy +3bru +1sfu +1le8 +3ox6 +3df8 +2jmz +4r9n +1mec +2i0n +4g68 +1x5o +3bbz +3it4 +2h7o +1dj7 +1fno +3fo8 +1u69 +4d0y +2ynk +4ht4 +4akm +3k7c +4rpo +3dr6 +1kxp +3dev +2k54 +4obu +1p0z +3zxu +1vpb +1r5t +2vvy +3aqf +1yi9 +2nuj +1htl +2kv3 +1i6k +4csr +4eq2 +1boz +3bvf +1h70 +3gxq +3i5q +3hft +1ir6 +4n01 +4odd +1psd +2k4n +2dnh +3c0k +3hyn +3ks7 +2j49 +2ob5 +1wxn +3b6h +4cu5 +3b82 +3jyg +1kzf +3sig +2w8m +1d5w +2krt +3rd6 +3wuh +1g84 +3no6 +4le7 +3ewn +3urg +4yli +3k2g +2mdt +2ida +3pxp +2a0u +3eeh +1dus +3ew1 +3aoe +3pvn +2hoq +1u4h +5h9k +3e0s +4crw +1xa7 +1rjh +1w9s +1jhg +4bsj +4l8r +1dn0 +1eu8 +2der +1wr2 +4mzu +5cnx +3kke +5e46 +3iko +2mz8 +2p4z +1wj3 +4s3o +1tkk +1se9 +1e9y +3i9y +3bci +2oux +3hvw +1jbw +3omz +1sdw +4dzb +2kv1 +1bco +1iby +4lvp +2elb +3u04 +2r0b +1rxt +1oq1 +3rl3 +3ui3 +3rq0 +1htt +1nkv +1wh0 +4ilt +5exp +1d2t +1a2z +4djm +1nc5 +3p8c +2wvl +4w5k +1gwi +4tve +1v9m +3nfv +4nxi +2p18 +1ixl +4wjm +2knr +1oxj +3rao +3cto +5ar1 +2uxu +4uht +2xdo +2ca6 +1txu +4grh +3tha +4dyw +3wbw +4kfu +1q1g +3opt +1krh +3f7e +1jaw +2af7 +3qqm +3a1j +3dba +3u2r +2yfq +1usu +3e99 +1lx7 +1abe +2l4d +3laa +2xoc +2frx +2lvv +1i6z +1wjq +1nd6 +3ajv +2lqj +4ae8 +1vig +4an6 +5jzg +1y12 +4rw0 +4tqg +1k2f +3kez +2gso +3fbs +2lc4 +3can +1exb +1am4 +4fpv +2fbn +1wdu +2hey +3nuq +3l5i +2gh1 +2o8m +1m5q +4g0m +3v8o +2dbu +2yvq +2h0a +3mc3 +1qqh +3gtz +2m1h +4cp6 +5daj +1w8k +1qlm +4ovs +1xe4 +4h8e +3p91 +3jzj +5a48 +3a9l +1jdp +2wgm +3n0x +3p42 +3boq +4ymu +2a67 +2b69 +4opc +1wdv +2q78 +2my5 +5ir2 +3ixf +2qu7 +2vpj +4k30 +3c0b +1rq0 +4p17 +5dz2 +1qrj +1xhk +3u66 +4twb +2jx8 +1ry3 +1olg +1jxz +3c57 +1ako +2lzn +3ec6 +4oy7 +1jni +1cmb +4c08 +2r0s +3liu +4g2n +3c7m +3fet +4hh5 +1b5t +1ne6 +3l23 +3qre +2miq +4jhm +4b3l +2cof +2rrd +3k1h +4pfi +1nij +2a8x +4dte +1vqt +1vj0 +4x9c +5kck +1of3 +1c52 +4o5v +3sqs +5hfi +5dmg +1kpl +2dm9 +3o46 +1c75 +3dcm +4idu +3s6g +2k5e +4khb +3g1w +3k4u +2pmu +1bih +1p22 +3km3 +2p6w +3ddd +4x83 +2qnt +1u2z +1yua +1glv +3d1b +4xur +2v4u +1dl3 +3ggm +3e8v +2fhq +1mhm +4nv0 +3rty +3cs1 +3laz +1vcc +1b0z +4pcf +3etb +1ryj +4yrb +1owq +2ex2 +2g3r +2dkz +1cch +2fi7 +3o90 +1h3i +3w57 +2nxv +3eyw +3lme +1br0 +1ekj +4dnh +3c5r +3okp +2khv +3wmm +4dkj +4pcv +1wf5 +4jz8 +4i2a +1sfj +3tj8 +1vdy +1epf +2d7n +1qwr +3l4e +1gz2 +4eq7 +2p0o +1yox +2yxd +3cht +4r33 +5cl3 +1y6u +4l74 +4fbd +5cen +3cew +2zkz +4uds +2qk9 +1klo +1adj +2pfs +1rzn +2e54 +3pet +1uun +1obs +4omf +3mdn +3eki +2lq3 +2vqg +2odu +1irj +4p55 +1iur +1jcj +2p63 +4nsw +2ajg +3gz7 +1xuv +1fla +3rpd +3fdi +1k66 +1j1u +1xto +3ush +1wue +2hti +4a1f +1uxo +2b0r +1h0o +4mlz +3nks +2nbs +1avv +2hh2 +1nm3 +3q5z +1w2w +3dcp +1omw +4rit +1twl +3u3w +1xki +4wes +4c2l +3e53 +2azj +2k9p +2f33 +4pxe +4i6v +3e7q +3htv +4hpq +1w8g +5hma +1wxx +5c5s +3by5 +3ig9 +2c2p +2a6c +1dp7 +1nfv +2dnz +4ote +4hqs +3hfw +3lvq +2if6 +2n59 +4lws +2kwp +3a35 +2qg3 +5fjq +2lci +2p4h +1yue +3khe +3k2k +2igp +2dgt +1bvy +3ay5 +4cvn +1h7c +3o70 +3gv4 +5exe +4d49 +2ae6 +3l9w +1ujv +2x45 +3khn +3tsc +2lme +4chi +1zpw +3tad +1ahq +1d4u +4xlt +4hg2 +4qu6 +3m0a +2rd3 +1vzs +4rx6 +3ni8 +4b43 +1qkl +3il4 +4n6f +4yxq +2nqc +3oel +2y5s +1xg5 +1goi +4k7c +4bws +3ipj +5c7q +2qds +3rpf +1owx +2p1j +5tf5 +2a50 +1cfe +2qwz +4nd9 +2dvk +4r16 +5m06 +3hia +2kpn +1mw5 +3cj8 +2vhf +3cjl +2xa5 +1ovg +3anu +3tuo +3ljs +2ebi +2xan +2l3n +3ktc +3h20 +3rh0 +2lrc +4etr +3vot +3oul +1bal +3pz8 +1wjm +3wxe +5c8g +1hjr +2y5p +2aiz +1gme +2lrm +2cuh +2p6p +2dtc +2z39 +1txd +3lub +1zx3 +2a6s +2mio +2vxd +1jju +1kxg +2z0x +3rv1 +2d8b +1stu +4j3r +1t4a +1edx +1vhn +1ttn +2ea9 +1vrs +1m2t +1j24 +1dwn +3er9 +1y56 +1qls +1x4y +1vk8 +3or5 +3gdg +3nff +2dzn +1j7g +4ddd +3cjp +2cun +1t3q +2o6x +2f20 +1x2m +2q0q +1dvh +1fad +1dco +5ljm +3cyn +2ia0 +1ej8 +1dg6 +2khd +2zs0 +3ukm +2aml +1neq +4cp2 +3bww +2b9k +2l8y +3uyk +2w38 +2wtp +2qko +1p9g +3o2e +1wpq +4hi8 +1ydn +4ix8 +1ecs +3eyt +4wj3 +1ijd +1ci4 +1kez +1hg3 +5ics +2zg2 +2mt9 +4nic +3rgo +1yq5 +4zk3 +3b1d +2lni +1yul +3p1a +2zyr +3w2z +3m6w +2af5 +3dcd +1vyb +3loi +1wmh +2j2j +2yyb +1llm +1uss +3gwz +3cji +4bnd +1u24 +3zqs +1mpg +1weq +4wbt +1uas +2hp7 +2qen +1p1d +2raa +3nvo +2cu3 +2itm +2loq +4qbo +3n6x +3ryk +1x03 +1nze +3e05 +4kmr +4rsh +4i14 +1z91 +1abv +2krs +1d1l +1k47 +4qs9 +3u8z +5a0d +5c82 +3gfz +3zxa +2k5i +4jxk +5d6o +3k6q +1jr8 +3vbi +2yhw +1s29 +2cg5 +5bul +3vm7 +2xve +1a6l +1pdo +4hl9 +1buq +1ouv +4lr4 +4jxq +2roq +2wz1 +2ddx +1nni +3onh +4kw3 +4liz +3un7 +2i0f +3hv2 +2lrs +5cb1 +1j8u +1wve +4ets +3lrt +2leq +5fgl +5bra +1u7i +1ig3 +1opo +3jr1 +3efv +1i24 +3rqt +2lwy +4rt5 +2cuf +3g5l +1ign +5i97 +2l1p +1cf7 +1ui5 +4njc +1m45 +3l8h +1kq4 +2yr3 +4gzv +3nkz +3bn8 +2czr +1fdy +3hdj +2cu8 +3fsd +5bt8 +4dx8 +2q01 +4hbd +1e0c +4mpo +3tu3 +2ggz +2ztn +2kiw +3axj +3ibt +2y3n +3g5o +4m7g +1rba +1u9t +2wbx +3geh +4u1e +2iel +1t1h +2qe9 +3m1a +3jwh +1cxp +1qhk +2i5b +3p5n +3vdp +3u3p +3bn3 +5d0y +1crm +2iep +4ol8 +1ry6 +1cdc +1h8u +3q9s +4km3 +1gqe +2foz +2xhk +1luj +2ejy +2nt2 +3k92 +2jtn +5d9h +3lhh +2ff4 +5aun +3f59 +3fov +3kg0 +2ctz +2h2y +2kvo +2mp4 +2cy8 +3enc +2qai +3zf0 +2b4y +2ga1 +2guh +3c64 +3oc7 +2ikk +2yub +2vdw +1am2 +1vb5 +2mqc +2y0c +1j1v +1qxn +4qkb +2gt1 +2zxy +1b8w +1bhp +2zc0 +1khd +2y8v +3fn2 +1sfn +1gwy +2xgf +2k5c +2wa0 +4yxt +1iam +3r9m +2xvt +3kjh +1fm0 +2lai +3k9x +3lti +1fou +5bpx +1q02 +3dan +2d37 +1wu7 +3hkl +2ozz +4mee +4uwm +2c00 +2coa +2aj6 +3ezx +1s70 +3gms +1v3v +3niw +4z2y +2ct4 +3na2 +2j8a +2afa +4nvs +4h51 +4m9c +3k3o +4cyc +3afo +1tb3 +1lur +3ang +1nz0 +2ca9 +3f1y +3aei +2yq2 +2daw +1xub +3tsa +2bdu +2jxp +3cu3 +4yjm +3k2z +4j8l +3ubg +3rb5 +4ds7 +1wjk +1qtw +3g8z +5jol +3ajd +3th1 +3o6u +3g4n +5c2c +3nd5 +3syk +2de3 +1tpz +1lwr +1kcf +3ub1 +2g3a +3n1b +2qy0 +4hou +1g5r +5cu1 +3h6g +1f60 +1wft +4dup +3ils +3sw0 +1geq +4f1i +2b99 +2p25 +5iuc +1u5p +3nym +3eoi +3t46 +5aj3 +3cec +1iye +1sdi +1wwz +1wlj +4obv +3htr +3cvz +2mda +4i59 +1q8m +3md9 +4czx +1a71 +2r99 +1g99 +3qtd +2phc +3oug +1avg +4e11 +1z06 +2rc5 +3bjb +1oqv +2a2p +2h0b +1z6u +2ebv +2opk +2oiv +3p9x +3ism +2hbo +3k0w +1xcc +1bpv +2c13 +3g7g +1r4q +3e8o +2fxm +2l3b +1dgn +3gg6 +1x7v +4exk +2qh5 +1h1o +2kog +2xgr +4hfq +4cu2 +5adu +3qh4 +2e6x +2vq3 +3tlq +2dha +2qfe +4yok +2rt3 +4jrr +2xzs +3kd3 +1xtp +1wz8 +4fg0 +2yhf +2bol +3dv9 +3otx +5cg0 +3bcw +1yc0 +3ihu +3n7z +2f9i +3w7b +3gxw +1qag +4mhb +2il5 +2hyi +3krm +4xvc +1s7e +5kjp +3zoj +2c0h +2omd +3e3p +4ex6 +5u2k +3smv +3v39 +1w7o +1vpk +1h8g +4efo +1itp +3win +1b79 +4otw +2m67 +2a38 +1vct +5kkr +3ois +1eaj +4jsb +4p4g +3sok +1hlv +2dt7 +1w4b +4lyp +4ezc +3g7r +2dxn +2g2q +1tzv +1k99 +1we8 +2luy +1t0f +1g4u +3ufx +2d5v +1jgc +3hr6 +2iai +2nmu +3o2u +1jk9 +1ac1 +1v9n +3aup +2kj9 +2fo1 +4p31 +3otn +2avd +3on2 +1jmw +3p2n +1r62 +1a5a +3mes +3woy +2eva +3ufi +4nzf +3nyb +4fm3 +3n79 +4qar +2mmb +3jb4 +1e62 +1ei9 +3e54 +2elj +2r5f +3ebv +1mus +3fru +2ic6 +4b6w +1mr8 +3kmu +1pui +2dd8 +3lye +3k32 +1v95 +1bxn +2uy2 +2qn5 +3nxb +1i6u +4ad9 +1x9b +3pvz +1n95 +1n26 +4uz0 +1s6l +2fk5 +1uv4 +1ryu +2fz0 +1oll +2vrw +4qdg +1qfo +3kd6 +2esb +3amm +2e9q +1l9l +1gff +4qpm +1tuf +3hz4 +2a3j +1y1l +3olo +2ysk +1mve +2g5g +4k7r +3r9q +4rud +1ba5 +1vpl +3n4p +5bnc +3h90 +3aba +2gkp +2xyq +4nhb +1fbv +1mv5 +1y1x +2mcq +4piw +3hze +1sjq +2x5f +2ctt +1y8a +3rkv +2ppq +1ece +4ov4 +3c6c +2hxi +1x3a +4fxg +3mcp +1isp +2d2s +4moz +2n1h +2inc +4adn +2g3b +3rs1 +3cey +3gek +5ja1 +1m4j +1vae +2kj5 +3h5o +1zav +2bb6 +3ly1 +2rh0 +3ilx +3lzq +2h8p +4k12 +2dod +5ds1 +3uv0 +4fx9 +1qjv +3key +1q0r +3qrx +1yem +3h25 +1q33 +1uou +3uen +3eu8 +2cqv +4mdv +2l3f +4m98 +2f1f +1c3p +2av5 +1vli +1z77 +2mgy +1im8 +1f6k +3rnl +1pd3 +5c3o +4kq7 +1xmb +4j91 +3kwo +5cvw +2ys8 +4dbg +5b1a +3tt9 +1tkj +2lw3 +1xg8 +4ecf +4am8 +1mj3 +2iq1 +3r5s +2g7h +3pe5 +2ayx +3laf +1c25 +1eqz +4a2n +1gtz +1vk0 +3szu +3s7v +1lam +5foh +2l35 +2l4v +3c4n +3wrb +4ru1 +1aab +1h2c +2p1w +2oga +2rn7 +1h80 +1gks +3uyj +3u7z +1kyh +1n8j +2vxt +3t38 +5ijz +2nyx +1hx2 +2q80 +1wel +4rnc +1bnk +3p01 +3byi +2zf9 +2ks1 +1nyk +1kfw +4h4k +1v88 +2olc +5d8c +1n9g +2ltr +3ca8 +2y1r +1lq7 +1dtd +4r3d +2yjn +4dzr +2np9 +3dfj +3b4n +1bjx +3rhz +2g2n +4q97 +4llf +2vph +1b9l +3d8u +2l5g +2ozb +3nmd +1wwh +4u6b +3mxt +1gka +3d3z +2lru +3hb7 +1o6e +3bbj +4frw +2dbf +2d93 +3zgh +3gw6 +1zat +1hu3 +1or4 +1z63 +2ib1 +3l4b +3m9q +5cr9 +2au5 +4gf4 +1nmn +1erz +3klb +3kcu +3nda +1yew +1cru +4aty +5j09 +1rrm +3hx9 +4zi3 +3w1o +2j48 +1nt2 +2p6b +2yjl +1fiu +1npy +4zoh +2bep +3bwt +1aoy +1ioo +3dfz +2k29 +3e5n +1tw0 +3tlx +3tjl +4pt4 +2yzs +3uc2 +3vwc +1ah7 +4cit +3ujp +4pza +1zb1 +3b79 +3ndz +4joc +1hi9 +2bs6 +3s1t +3dso +3qkx +3wid +1mae +2obn +1orr +2w3z +1toz +3pjy +1oyi +3id6 +3tg9 +4gc3 +2hqm +2b59 +2dmh +2ha9 +1ux5 +4e6f +1yf9 +1lj9 +1sjr +3him +1y4m +1u53 +2oqc +3sde +1o4x +1sz7 +5dm6 +2gen +3hzh +4ics +4wsf +3dkq +3on5 +3fpr +4hr6 +1pyi +4chg +2oyz +2zzv +4z7x +3mer +1x44 +1wx8 +1ehy +2lht +3l41 +3r6n +1gxs +2dbs +2eo1 +3ve9 +2uzz +4h7w +3cni +2qiy +2bzv +1bd2 +2ved +2qm3 +1ory +2qez +1vlr +2ffj +4k6l +1jfl +5cvr +2kg7 +2chc +3n0w +2c83 +2kyy +2rgq +2rgn +4l3n +3c85 +2m85 +1o6d +3g7q +5jy1 +2ds4 +2juj +2q0o +1b4r +5ecc +5t5d +1mu5 +3zpe +3lxd +3qiv +3pfo +1deb +2wte +1e8u +2ivn +2ap1 +2fgx +2yby +2d3v +2chp +1kic +4ife +1ext +3owc +2lja +2rdx +2ikb +3upu +5tfq +1nf8 +2da0 +2xsa +1wr8 +1qub +3bxo +2f9h +2fbq +3t0q +3udc +2fzf +3nix +5byv +2hxw +1viu +2ixt +4ien +1lp1 +2zjg +2xnh +2lxl +3qc1 +1whv +3dvo +5hy0 +4i0x +5mpo +3tx4 +3lic +3ge2 +4r8t +2veo +5b2n +1qwk +2mgq +2jxx +1gjj +2w5a +4jxu +4b79 +1n73 +1wz9 +2e8e +2ox1 +4xs5 +4o9b +1xzz +1egj +4l0c +2qwv +5d61 +1hzm +4dal +4nc7 +3tc9 +3jtx +1m4r +2bm8 +2bjf +3mjg +1ykw +2qjc +3p1m +4e3e +4yon +4eqb +1jrf +2kan +3llc +2ehz +4r30 +2q2x +1ixh +3ndo +2lfp +3l4r +1ezj +3kc2 +1xc5 +3c8f +2kzf +4m9v +2cx6 +1vky +4x9x +1iqv +2n3z +1ebd +1q7s +1mzg +3hzb +1z84 +1kea +2odm +3mc1 +1o5i +3jc6 +1z1y +4m5d +3q45 +3ddt +1wg4 +3et4 +2x2e +2qha +2i6h +1ah5 +2uzg +1c5e +1r75 +2yk4 +3ddh +1aro +3itw +4owk +2qgs +2vrd +4f6m +1nf1 +3lew +1vqr +1ir3 +4m3o +3urz +4obm +3khs +2hhc +1efa +2ite +1i1q +2hzd +1mx0 +1eia +2nx2 +3t5t +3m71 +3pvt +1afo +2djh +1w33 +2g8y +2jzd +1vjq +2bwn +2ral +4lsc +2ivd +2lmk +4qwq +2anv +3zla +3e9q +1mg7 +1pgl +3bs4 +3rnr +4qnn +1gzs +1hlq +4z5q +1v57 +4f4o +2dk3 +4n6c +2vxz +2l3o +2ogg +2m0a +1b69 +2gnp +3n4f +1zem +1ds9 +2oda +4gyi +1xks +2jpn +3l2h +1j78 +2f9z +3i6e +3gr0 +1q1r +4nog +2la7 +2zl7 +1g13 +1kmd +1vj1 +3klt +5m43 +1rqu +4jg3 +2flt +1hp8 +1rxx +2c5s +1boq +3cne +2lfc +3fb9 +2co8 +3ano +3efg +2day +2ndp +2pn1 +3f57 +1ig0 +3gcg +5k9a +4u5p +3crn +1dd9 +2kdx +1cp2 +1fex +2fy6 +4n17 +2i6g +1wj5 +2eyz +1qkr +1yey +3nhv +1h32 +1zmt +2aq5 +1fu5 +5ab4 +1dyn +1vlu +3e5z +3ssz +1j54 +1fu1 +2nrr +1ggp +3r1i +1d2g +1xeb +1udx +2ofq +1zl8 +1i7p +4nov +4fqe +1yx3 +4has +2pxg +1m1s +3tri +2k77 +2amj +1m4z +4gcv +3k12 +3u8v +2l02 +3k85 +3be3 +3fxd +1ydm +1on0 +1yy3 +1byf +4tma +2wb4 +4g1t +3toy +4aqn +3alf +1ib8 +2jmb +3qtl +3b7c +3dkp +2fb6 +1wwm +1l0n +4eoz +3l8d +1io0 +1h2e +5c0o +1e50 +4zi8 +4k1p +3tp9 +1wvq +1kyf +1dd3 +4nnz +4m6b +3euh +1d9c +3h5i +1fmd +1ab5 +3dka +2dg8 +3tjq +2dp9 +1p4c +2plg +1w0n +2fma +1jeg +2gjw +1y10 +5cxo +3gqv +2m6u +2bbr +4i68 +4xsq +1l2m +1j93 +2iuw +1i9s +4qb5 +3a7f +2h6b +4dmi +2i7k +1c5k +3aq5 +5ha4 +3gy1 +3kl4 +1v5k +1hxn +4y5j +2zgc +4zoq +4h5b +2go8 +2c9w +4nxy +1yvw +3qva +3cyj +2bo5 +1rl4 +4w7y +3tzt +1ku2 +1h9o +1woj +3fm5 +1bkp +4onc +1bxb +1vc9 +2hes +1v4a +2ohh +3pvd +1hc7 +2ra8 +2kd7 +3jci +2g16 +4gqo +2a4k +1gyz +3ogg +4ief +2eo4 +1psw +3kcn +4mfi +3gwm +3ged +2ost +1h6g +3ojo +5bxy +5hwt +1m9o +1l8r +1dj0 +3cm1 +2e50 +1omz +5e4e +1c3k +2r15 +3llm +2p61 +4h08 +5jcp +2fwv +3e4v +4b9g +4d7p +4czn +3ih5 +4l15 +3ot4 +4aqz +1if1 +2nvp +1edh +4es8 +4ggm +2ccm +2pgs +2h21 +4a4y +4hzu +3vbh +2hlj +1ybi +1ss3 +4g9y +2aao +5ftw +5k29 +2jgr +2qdr +2jrb +3mgd +2jrj +2o0j +3jtf +3cgb +3fdb +2fj6 +4juy +2klq +1wte +2qsa +1x8m +3uxy +2wmo +3aqb +3f6c +4if2 +3tm4 +5icu +4el6 +3q1t +1wjs +2q2b +1jwq +3nwz +1iio +2x3e +3fma +3eqz +2ydx +2l82 +5e1v +1ehx +4edp +2a90 +2vkl +1z21 +2l2n +2jne +4dkc +1e6c +1w9p +3hsl +3aql +1xw8 +1wpw +5d4n +1l3y +2ewh +2qs7 +1boh +1og6 +4d6y +3mej +2huj +2tbv +2bhv +2kd3 +4qbl +2pvp +1dym +5lxv +3e6u +3may +1xsf +1exn +3hup +3bj9 +4ha7 +4ern +5c17 +2nx8 +2nog +1t8h +1a7h +3r5l +3mr7 +1js1 +2izv +4oq8 +4pmx +1vbk +1tbr +2d40 +4yfk +2dk6 +3e0y +2hvw +4pn0 +3vuq +2fx5 +2lqo +1pbj +2e7y +1d1r +1vqu +4dck +4iwx +2hr7 +4b60 +3p96 +5czc +1z7u +1ts9 +4ewt +2pa4 +1ks9 +3qfg +4xuo +2fbo +5gm0 +2z13 +4fvd +4wyq +1bdf +2w6a +2mb9 +1af6 +1gud +2o8l +1aoc +1b5p +2zfd +2y28 +1u60 +1rkb +4g1v +2w4s +2dkw +3p0t +3q63 +2dt9 +3buj +1bm8 +2aeg +1ew3 +2w5y +3s6l +3luq +3a7o +2gms +1ee6 +1f16 +1psu +1gzh +4lq0 +2xfd +3eck +1byi +2fcj +2crl +2fiu +2p5v +3t2l +2ovb +4pim +4ddp +3h9p +1mj4 +3hh7 +2fn0 +1woq +3toj +2l33 +2a0k +2mvt +1nmo +1ewk +1lfk +1vqz +2dh2 +1y6j +2ljx +2z0u +2hrz +1p9h +2gk3 +2wcy +3oqp +3enu +1v9w +1fjh +3wiw +2i02 +2yzt +3njd +2xhc +1db3 +4ftf +2nn6 +1q1q +4ccs +3bkw +4qd4 +1dow +4oo3 +1hfo +3fk9 +2o14 +3uxf +3r0q +4e5m +1xu6 +3d7t +3dsb +3k9c +3d34 +2nzw +3vmv +3dzz +1ml9 +3op2 +1rre +3d2u +3oxn +2dmc +3vco +4r9f +1bw3 +1xzp +2e12 +1zxx +2dyo +1j75 +2a61 +3tlk +3tqm +1pyf +1efz +1doq +2fqq +1vlo +4bbo +3kht +2i2o +4nx9 +1ul7 +2wgo +3ic5 +3uog +4hwt +2khq +3aus +4d6w +4rz2 +4gak +2pbl +2dpk +3e61 +1zbp +1oru +1skz +2qni +5fyd +2jn6 +3lwj +1yz7 +1lw4 +3t0o +2qq8 +1kvk +3sek +4me7 +2c8s +3oja +2yn7 +4ecl +3del +1bte +4gdn +5cg8 +3gkm +4y97 +1b77 +2imd +4zva +2i76 +2nxc +4mdu +2x9x +2l89 +4kmg +1kba +1uqt +3cvp +2icg +1l5h +3foc +2wb6 +1uuq +3euj +4p9i +3pf8 +2kk8 +1sny +4f6u +3kg4 +3zd2 +5e2f +2pqc +3v42 +2f3x +2lso +3s3t +4jm1 +3ltj +4lzh +4ecg +4ggt +1wfe +1aa1 +2c4k +1pii +4px7 +4c7g +3nqo +1aol +4n18 +4b0e +4b87 +2dt8 +2qk2 +1xer +4xjv +4l1m +1vmi +3ks5 +3tqh +1vav +1f1m +3tjz +1a0s +2bi7 +4hwd +4oev +4w8h +1f38 +3pfs +3a58 +2qdj +1hg8 +3eur +1wfk +4pqq +1v9v +1bkc +1c4x +4b97 +4h5g +4h1h +2w0g +3pqj +3mcq +4eiu +1qm9 +1jro +1vjx +1um9 +3ehc +1uf2 +1ri9 +3ox4 +1svb +1j20 +4yvo +1f6b +1gmj +3p51 +5thq +3cxb +1eex +2pyq +2pa8 +3fge +1a7j +3ga4 +1ega +4f54 +3bqj +2ofi +3r3p +2yvk +1nzj +2oz4 +4g8b +2hv2 +2osa +3fxh +5iro +2c41 +2c9e +3wmv +2lz0 +1zuo +1dcs +2cjw +5e5b +2c4e +1fhg +4ao8 +2r1j +2f4p +3qle +2yqr +4geq +2n5h +2egq +1qqf +3s9x +3i2w +2xts +2bkf +4l1n +1wxc +1mrz +3nvw +5dly +2odv +1go4 +4k7b +1rtw +3frm +3bqx +3d5p +1wyw +1nnh +2a13 +3idw +4dyq +3m1h +2cw1 +3d0q +1agx +2dg6 +3t66 +1nep +4ag5 +3lm4 +4wjv +3h2d +1x5z +3kw3 +2yrr +1ahs +3rgh +1g6u +1wlg +1urh +2fjr +2gsd +2q83 +2fcr +1g55 +3rh2 +4jbz +3zn4 +5bt9 +3b1b +3w1z +4lv5 +3ny7 +3me8 +4zd6 +4lej +5b1o +3bkr +4igd +2mew +1knq +1civ +1isu +2yzy +3nrx +5lsl +3tov +2ekc +1mg2 +1vkr +1u7b +3lcr +1beb +2vp7 +1xko +2lf2 +1j0t +2nva +1xo8 +1f98 +1nq3 +2db8 +4wxj +4wqm +1hnr +1kcz +4w4k +3s6j +1qrv +2y7e +3hh1 +3zja +2qec +2kqf +4bhx +4do8 +3g16 +4xkj +1y9z +3w20 +2zej +1kbp +1gup +1x3h +1zx8 +4o06 +4qmf +1j0a +3n3a +2lvf +1xmx +1dek +2uzh +2y8y +2qug +3ee4 +2kua +1vcf +3ne8 +4rk0 +4w8k +4h09 +2iqi +3tjm +3q90 +4gj1 +1m15 +3jyz +4s1w +1aog +3qh6 +1a70 +3aw5 +2wm3 +2qmo +4bfc +3hs3 +1bqg +3flj +1s4e +4cyb +2luz +2fup +2p4t +1uan +3zgy +2jpq +3do8 +2cgl +3nfw +1ux6 +2hs5 +1hul +2m38 +3e8p +3oou +1cse +4e21 +1x93 +2opj +2hc5 +5fcd +2x65 +1ggw +4h3u +1ix2 +4rck +2w1r +1rwi +4pev +3bb9 +4bwp +1j58 +1rhy +3hhh +2z30 +4r3a +2m4l +4gel +4je3 +3mb5 +1y13 +1yx1 +2y6p +3ik4 +3myu +2yd1 +4fdx +1lrw +4jcj +5cof +3hbz +2bzy +1wev +2r9i +4jqf +1sbz +1dqa +4u3v +1imo +2p5t +3p26 +2yz0 +2r2d +1p9b +5c50 +1z57 +4ccl +2qsx +1x50 +1ua2 +4asm +3o10 +1i5e +1jqj +1vgy +4m66 +3nrn +1hcn +2vo8 +1smp +3mmh +2g29 +4kfz +1iba +4fle +1eqf +3c8z +2yv9 +4ath +2w43 +2d86 +4wxm +1m5i +2vvl +2x6r +2od1 +1lqs +2pd0 +1a1w +4mai +2daf +4m75 +1h3z +2osx +1ys5 +3dli +2f76 +1orn +3out +4ev6 +2v3s +4ozv +2ask +2o4v +1z3z +4o8m +3h76 +1r43 +3eet +3fnc +4m6r +3gwy +2hqt +3e9t +3l0r +5b58 +4gh9 +2ntx +2fwm +3bqw +2xom +2rgj +2kvc +5c5d +1md6 +1hx8 +1dlj +4l0m +5hv6 +1los +1mld +1j4s +1z0m +3b8p +3wzl +1gx1 +4ohc +4m77 +3ej3 +1t3k +3vpr +5bq3 +3gs3 +1i1g +5d1i +1r1u +2e45 +2cnx +2o5n +2zyz +3r4k +1aow +2p35 +2odh +1yks +3feu +3hrz +5fii +3q13 +1fjc +3liy +2pvz +4lqx +1ga6 +3ihx +3c6f +4n82 +1s0p +1e52 +2sic +2f1x +1biq +1z52 +3e97 +2mem +4rxl +1xvx +2gcl +3r96 +2z90 +1oi2 +1rz0 +1jdi +2l31 +2doe +3mgk +1y7y +1efd +1spx +1ef5 +4kv2 +4gip +4j4h +2l5l +1u9c +1cqm +3n9y +1kv4 +1i6o +3tr1 +3h5n +4d90 +1bdb +3otp +2clq +1n3l +2jug +2div +3f3z +2wg7 +3g5j +1nxm +1vrb +1sqh +3oq0 +2w7v +4hbr +1bct +4q3k +3q5d +1qzy +4b0n +3ica +1y42 +3b0d +5t3y +1p5v +3kqf +3kzx +3kgr +1fuy +3thm +1ccd +2o0a +3mmk +2h84 +3nbk +1hav +2e6w +1xq8 +3oir +4yt2 +2v5s +1aqz +1hyp +1iic +2fq3 +1zuy +5ff5 +2opt +3rpm +1vaj +1x5y +4m7s +1at0 +3kw2 +5dp2 +2ajt +4u04 +2bc0 +1yj5 +1n27 +2yvt +1x5b +2dmy +4mnk +3meq +3guw +3f4a +3btn +4lrz +2zr1 +3nwj +1zgd +3sk1 +4n49 +3e23 +2vwa +2qeb +2pfw +2yys +2di3 +4hwg +2d8c +2ewv +3vb0 +1pvm +2qyt +4g0b +2q82 +1wu4 +2zxk +3n4r +1yjs +2bde +3n4e +2waw +1fsh +1chd +2n80 +3k2w +1qgv +1bha +2cyj +3en0 +1jfa +2v0u +1ihb +4do7 +3pei +4tv7 +3k6f +2m1x +2m80 +1sg5 +1r0m +2ea6 +3rwx +3myd +4n4u +3sll +3h7m +3p0l +3al5 +2nyu +1wub +2nyh +1weh +2xur +1q7l +3mcw +1b93 +4mzy +2wcr +2ns6 +2mkl +4qv2 +1m9d +1xzw +2efj +2i6x +3k7a +1du2 +1z85 +5suh +2gj3 +3nrh +1e4u +2eq5 +3t97 +2miz +2rb7 +3jui +5l2q +2cg7 +2fsw +4mo7 +1n08 +2qpz +2k4b +1uww +4lb8 +1zd0 +1ikn +3hi2 +2oez +1p94 +2raf +1wgy +1x5m +1sqe +4pr3 +1vbl +1nex +4mm1 +2r44 +2eqy +1yjd +3gg7 +1to3 +3lgc +1igr +1zp2 +2qpx +4tr3 +1i77 +5cmy +2a3q +3f44 +4nmx +3blz +3s5r +3lvy +2dkx +1wwl +1sb7 +3fg2 +1pbw +2ml5 +3ren +2qnl +2kqz +3tze +1z9b +2rkl +2oc3 +2gj2 +1fho +3dmb +2psb +1x3x +1ng0 +4npj +3faj +2oq1 +3di2 +5gvr +1y1a +2dib +1u84 +1nxk +3nft +2i7v +5fc9 +2xxp +1yb5 +2aym +2i39 +4e69 +2g7g +1njr +4chu +1mkf +1zde +4wls +3tva +3qfe +3b5o +3dao +1ugo +4uwq +2qqr +3fbz +1ff3 +1qwd +2qiw +2o3g +3ulb +4cng +3p9n +2fwr +4o7o +2ixo +2h34 +2a6h +1s8n +3dew +2iue +2i8e +3d3m +3x2f +1wwy +1bds +1tp6 +1jww +3osg +2zgo +3nqw +2r5o +3gw7 +4awe +2jpf +1pfi +2iz1 +3r2k +1r30 +2xl7 +2l32 +2l1s +2daj +3hdg +3jc2 +2ann +2d8a +2e63 +1wad +2jsn +4r6u +1zt2 +2k9l +3d2w +2wlg +1ud9 +2glw +3qd5 +2of7 +3wz2 +1ogq +4x9t +3oyz +3m1l +3lfk +4s3n +2p9j +2klo +2rsi +2bn8 +4dkk +5cz1 +4l6d +1wif +1tis +2r6z +3ia7 +3wo4 +4mo0 +2hsj +2nnc +3jvi +3it5 +3sy6 +2r8r +3uhf +1yhn +1wmd +4lzg +5jsk +2chr +2cd8 +3qoo +4ec6 +1ssf +3p2a +4zbg +2a8p +1n67 +3odt +3e9d +4k7z +1ou5 +2dum +3mog +1e0a +2jmp +3k93 +4aw9 +1dmz +4qdj +3nku +1eay +2og5 +1ks6 +3bde +2eg3 +2v84 +2jyn +4ij5 +2do9 +2kha +3gkb +2jkg +1h3d +4fcz +3rhg +4hfs +2i1y +1oe9 +1chc +4aeq +3pg4 +4i0k +3dd7 +1q7f +4qba +1q5z +3gmv +2a6a +1ga3 +2jwp +3fd4 +2m19 +2kse +1gbg +2b78 +3f95 +1sqs +2cjg +3keo +2crh +1lmi +3d6i +2gnn +2qff +2aqe +2wpv +3tzq +5csr +3e13 +2olg +4nav +3w6b +4izh +4lwj +4s3j +1u7k +2wuh +3oym +2cto +2k3p +2mah +2yzg +1u17 +4wsi +1f9x +2kz8 +2jvg +3ty7 +2osd +4q62 +2pjz +4fd0 +1uoz +1rws +4jgl +1to0 +3h36 +1etb +2oaf +2qip +3fla +1uzc +3mil +2m2j +3bhn +3v3t +2g7c +1t62 +3e4d +2zyh +1zjc +3n29 +2ayi +2gha +3led +1sb8 +3ksp +3r1w +1zs8 +1rjm +2ej8 +2y1h +1mi3 +5eow +3c48 +2lue +2kwb +1fx3 +3gl9 +4ybn +4e2g +3e7k +3opc +4zy7 +3b33 +1whm +1pgj +4kgh +3grd +1dtn +2dry +1rzr +3kys +3k7y +4rft +2out +4hhv +3r7w +3g9q +2poz +2c5z +3e0m +5tj5 +3i5t +2hsb +3hp7 +3pp5 +1ujd +2ecd +1in4 +4q82 +4h32 +5chx +1g6e +1vhc +5k1s +3t9k +3plt +2d9q +1v11 +3zvk +1zxf +2ee0 +1npe +4ntl +3t1w +4kav +3m05 +1j31 +2hy7 +2aeu +1ngm +3let +4bqn +1ghf +1xrd +1akh +2kjw +1ae1 +2hfv +3sto +2zad +1r4w +2js5 +2wcj +3uim +4go4 +4eo3 +1r4o +2mhd +1q48 +2kaf +1mpy +4uy8 +3h79 +1b23 +4ct3 +4pxh +3tip +1wgd +1juv +3n2b +2q3x +1dro +1vlm +2nr4 +1zcc +1ka9 +1jiw +2k3i +3nro +3q7h +2ikd +1gt7 +4c9v +4yzo +3jtn +1uai +3eyp +2jsw +2wab +3msw +4emt +4m4x +4i9x +5ayv +1tv8 +4gnk +1p1e +1p97 +1uur +1y9w +3h5t +4fyb +2nwv +3iwf +2ret +1luf +3fhf +2hxr +4ii1 +3ocj +2los +1ef8 +1ypz +3l7v +3nra +1kny +1x59 +2a2l +1r89 +4gic +1iay +4bbq +1nr3 +1v77 +1lli +5euf +5dte +2hi6 +3okx +4js8 +1p6q +2r2a +2gx8 +2ysa +4dhi +1vqw +4fcg +4id8 +1iyn +3tka +2ril +1yax +1miw +4fk7 +2oba +2di8 +4kzs +3nqh +1vec +1rli +2ybd +3mcx +1erd +4cs9 +2yfu +4i5t +2jqt +2vge +2mh3 +4fb9 +2l9s +1d2i +2bk9 +1tht +1wlo +1a2o +2fx0 +3piv +4ry9 +2rq5 +3okz +1hkv +3ehq +2qib +1x0g +1o1x +2bm5 +4hxz +2l0b +4aly +2d5b +1b2y +4dsd +5hdi +2b2h +3v5u +2da4 +1yxa +4doh +3exz +2c43 +3a4m +4h2d +2z84 +4pif +2j73 +1n83 +4me8 +2d1p +4njh +3iv7 +1blu +2g6v +2jsp +2mhc +4w78 +1ocy +1fs2 +4tno +3d0c +1i78 +2kt2 +3eg5 +1fnt +3noi +3lhx +2cpx +3ilk +2xp1 +4g6q +3bo7 +2jvo +1u7z +2a5l +1g9p +4h89 +2llg +3tkl +3qja +3n5l +1zsw +1smb +1to9 +4l0r +1orj +2bx9 +2j59 +2xio +2yuc +3ih6 +3uk2 +3vc7 +1ctt +3tvi +2yo3 +3u0c +2m47 +3rof +4wkr +2qin +2oh1 +4l8o +4j1q +3euc +1r53 +5cq2 +2yx8 +1yui +2ap3 +1o3u +4d05 +4r2y +3dbx +1yk9 +3vnx +5b7d +4zj2 +4jwo +4q5t +1ixc +1b65 +2lcu +3h96 +3k5r +1so9 +3we9 +3u3i +2oif +4hc5 +3d0j +4oeb +1a9v +3wnd +2juc +1b7e +5ck3 +4g9m +1izm +1nnv +2pq0 +2egc +1exk +1njk +1xo5 +1xvi +2re7 +2l97 +1fic +5hw7 +2xec +2a0a +1h5p +4eo0 +2xst +1jvb +1g5c +1vkh +3f14 +2hg2 +2lr4 +1o8u +3dyj +2qvs +1zzw +2jwa +3gov +2zsj +5mlc +3hn0 +3qxz +1ytu +1jq4 +1gu2 +4erd +4i1a +2jqz +3iuw +2cu7 +1aa0 +4e94 +1ayr +3iv0 +3tdv +2rsv +2jax +2jgb +1j79 +3l2o +3blv +3fs8 +2xb1 +2fsx +2yzk +1yr1 +2juz +3ffl +3mvc +3zxx +3h6r +4l69 +2gk9 +4u5h +4jqr +3kde +4xab +4uso +2e7v +1on4 +3ns4 +4ou7 +2mph +2lle +1bpl +3bhq +5ig1 +2iec +3bk5 +2iya +4gw3 +1v5o +3fmy +2v3m +2zgy +3b21 +1z00 +5kia +1p91 +2k3d +5ko9 +1iuc +3bch +2od4 +1ynj +4g6z +3bos +3bj6 +1x5x +4wqk +4bhu +2crf +4fkc +3wct +3lv8 +2pst +1zd1 +5aji +3hlz +1pja +1p5h +1r1t +2klt +2c5a +2wag +4iao +2a19 +2azp +3oby +3u21 +4d7r +1j3q +1ear +2ox8 +3edm +1anu +4e12 +1oqy +1mww +2c0c +2k2j +2y0e +2dxq +1c2y +3hn4 +1bin +1ovl +2kd2 +1ajo +1cf1 +4a9w +2mbv +4a0t +5cdl +3loq +4cof +4qu7 +2g3k +3ult +2ppw +2c60 +2dyc +4jbf +3e29 +1gxl +3eth +1yel +2wl1 +1fx7 +3kgk +2d3d +1hkq +3ku7 +4pet +3awm +1wh3 +1f6m +5fht +4b45 +3cp5 +1f5o +1xew +2l14 +4zn0 +5b1y +1hqc +3rfy +2nrh +1fs5 +1xls +2bmo +1zza +2a6t +4zyl +1v7m +5c2v +1xkr +4jdz +3dou +1fjk +3zri +4kgq +1wn9 +1f45 +3qd6 +1wv9 +2z6v +4isy +1x6c +2b0v +1c05 +2zod +1zme +3ogu +1izn +4jon +1p4x +2gsl +3ebk +1t92 +3but +1d6g +3czq +2gjv +1gak +2ia7 +1jma +3eef +3b09 +3un0 +3b81 +2doq +4u3a +3tvj +2jzl +1zkk +1dpb +3cc8 +2kpm +3azv +3ug7 +2edp +3dz1 +1tvl +4nwv +1ngn +1sg6 +1z0b +3lou +2xd3 +3k2t +1ve4 +3tdg +1f97 +3s7z +1jll +3dn7 +1t2l +2e7c +2l9j +3kmi +2f5x +4ntw +3puf +4w6z +1qze +2vne +2wsh +2m2k +5i41 +2ozh +4czu +2gac +2eb1 +3mv2 +1x1m +4oog +3erv +2q6q +5if3 +2jt1 +3il6 +2q8k +1ymp +2dsy +1zzm +2z5b +3w1y +4mlm +3kzt +2qlr +3ocr +2k78 +5dic +1rf8 +5ce6 +1hr6 +1y0e +3szt +3d0k +2iz6 +1ni8 +2bsw +2pm6 +3kb9 +1sg1 +1h0h +2ju4 +3ec1 +1cpt +2yma +2w7y +1fx2 +1no8 +3d5l +2ibg +3ldt +4xll +3itl +4hre +2ii3 +3lwb +2opl +5mgy +2k5p +3rmi +2ggs +3zj1 +2ac4 +1rl0 +2e71 +4b2r +2duk +3soy +1dlw +1okq +1atn +3zbd +1rjj +3zp2 +1kn1 +2n1k +1b7y +1yqe +4d2i +1cxy +2z0b +1ig6 +4bgj +1k8f +4zbo +3f6o +1xvw +1w2m +3qs2 +2kvv +2ckz +4q3n +1af8 +2pe4 +1u97 +2vvw +3edp +4pv6 +2bg1 +4xiw +2k73 +3kpt +2jkd +2d4o +3p0u +1qfh +1iqa +1zx5 +2evv +2qgg +2eu9 +1sgw +3edn +1ibj +4opf +2wdq +4fkm +3bcy +5h8i +2di0 +3hlb +2hii +1el6 +4m8k +3p54 +2w2k +1ojx +3byw +1jhj +4qtp +4iiw +2rrn +2pr7 +3c8u +1lvf +2ka5 +4a0e +1ooh +2kxq +1q1u +3hmk +2gm5 +1pzd +4gos +2mk5 +2kkh +3oc9 +1zp6 +1gt0 +1v7l +1eb7 +4a53 +2bl5 +4f9c +2as9 +3hhe +3go6 +1tc3 +1gkk +2dc0 +4s3i +2ekh +3ez2 +4fpr +1ak2 +2ee7 +4r78 +2o6w +1c1d +3quy +4eae +3tfi +1dcq +3ap1 +1mb3 +2hj1 +4dqk +2hxs +4bd4 +2g0c +4bf3 +3ajm +4fqn +1yd0 +3kkd +1t11 +5fq0 +4esw +2wc7 +4hlu +2inu +1jog +1rvk +2ioj +5b8i +4yii +3un9 +1r8j +1u6l +3czx +1tvc +1c8i +2rqb +3ec2 +2hig +1b9h +3mml +2ix7 +1wp7 +2rg4 +5i47 +1g3g +3cu2 +2b1y +4fqg +1n2d +2rhm +2xtl +2w5q +3lw3 +2v3t +2ypt +4n1y +3f8u +2q0t +1ds1 +3q0b +1x4t +3gre +3r84 +3t30 +4n6e +3dyd +1oms +1ku1 +1ug1 +1hwm +1z6g +2fjc +2xrf +3a1f +2fsq +3ugv +1g47 +2o3r +2yd9 +1hcd +2q1z +1naf +3k7m +2ebe +2cry +4qt4 +3hpb +4dqx +1oqj +3g88 +1ihj +5tf2 +1f1e +2mn3 +3oy2 +2yu6 +3n3w +1ao7 +2xrh +2qtq +1lvb +2dvz +2pyt +1h7m +3pnd +4brv +2lnv +1x3z +1f02 +2e3j +2i9d +3vpx +1vme +4hjw +5f1y +2j3x +4dvj +3r7f +1nya +3las +2n01 +1d3b +3sl1 +3lao +2gs4 +2np3 +3gop +3keg +1ujn +3m33 +3bam +1kt8 +3wyd +2ivf +2dhj +4dz4 +5j3t +2xfv +1zmb +1bw5 +3b5h +3axf +3zha +2qrv +3zig +2egv +1x4w +3tny +4nar +1bpe +4ubt +5er6 +2e5o +3lu2 +1v1g +3ff0 +1ejc +5a6w +1j8k +5agv +1cpo +3m5u +4c6s +2l2o +2dlx +3b9q +1wom +3f7p +4raj +1s4u +1lbq +2pz0 +3b59 +3n08 +3qrf +1x9y +3cmn +1weo +1g2d +1yhf +3rfz +2yst +1vio +2wui +4itx +1zld +2gax +2cq8 +3un1 +1wg1 +5bp3 +1qgw +1f8y +2bq4 +2z0j +1v0a +4le5 +2jz6 +1im3 +1wib +1pzs +3d6k +2pl3 +2wbn +2k49 +1yd7 +4ole +1md8 +1qz9 +1oi7 +1p6v +1ea6 +1aal +3mlg +3d7r +4bjj +1ycy +1qoy +4w66 +3god +3kv1 +4ruw +1s5a +2c2j +4e9o +2j8b +3hl0 +1gcb +1u7h +2az0 +1k4k +4xeq +5ke2 +3uep +2x9o +1d1d +4cgr +1uij +3iu0 +4ntq +2mam +4fyp +1l4d +3hjc +2e1t +3pes +1wzc +1k4z +2rbb +4gv5 +1uew +4u7w +1f20 +3eo6 +2hiy +3irp +4ydz +1ncq +2jpi +2p0h +1ybd +3uoa +3up6 +1wgx +1sp8 +1bdy +2e6j +3feo +1wak +4jd9 +2a6p +3of1 +2ly1 +2n7z +1cau +2l9q +2vif +1z8g +3qkb +1nyp +5hke +4q63 +1u12 +4hud +2oln +2wuq +1xov +3v2l +1b9r +1usd +1aox +5dmx +2nxo +2myu +5evi +2kjf +5fo5 +2hev +2cwl +3k1y +1ygm +1fmi +2dnx +2d3a +3egi +2nq3 +1j3w +2wcv +1c4z +3pub +1sfs +1r3n +3q6k +4p5p +1iab +2jvw +3f1j +1fcq +1o4w +3ted +3nui +2llw +1l3p +3wrw +2bko +2joi +2iqj +2ra9 +4ihu +1s9q +2amh +2x3g +1tqy +2j8k +2h29 +1mk1 +3okg +2da7 +1bwo +3f51 +1xt5 +1cov +4ml0 +3hy3 +4gi3 +2vld +2qmw +2dkl +3lxr +2jlp +2fba +3zie +5jd6 +3dhu +3bfm +3brj +2fpq +3e5d +2eqk +1dt4 +1hxd +3h7j +2cpy +3bdi +4uri +3pdg +4r60 +2lqu +3gfh +3qsl +3gl3 +3pt3 +4zem +2vvf +2gwr +4mal +3cgi +2zat +2oy9 +3qjo +2qjo +2oyy +2nt0 +2r2i +3bij +2w4o +4m9r +3tig +3utn +3swy +4kki +2orw +1wv4 +4w8p +3ftb +5cy5 +2spc +1a1r +1yn3 +1hgv +1qu6 +1p0h +2edz +2bdq +3kzh +2ap9 +4esn +3hrq +2iwt +4ums +4yhb +3p8b +2rjq +1hbk +1on2 +4g2d +1cgn +4fdt +3grz +1egx +3t4l +4nbi +4h5i +2pos +2nuh +1nh8 +3pu6 +4wzs +3hl6 +2dlo +3h9m +2dar +2hh7 +1mn2 +1eny +1y3i +3mix +1cec +5jrj +1ic8 +1jyk +2e3v +3l9f +1rzm +2j1a +2ob0 +5kc8 +3v38 +4dc2 +1e9r +3ju1 +2pqf +1wjw +1b92 +2rrf +4d53 +3jtg +4y6c +3lrk +1alu +4ooc +3kzq +2ciu +4ywz +3mcn +3myx +3m3i +1z8s +2lse +1jqp +4bpv +1eni +2ckf +3o3m +3wcy +2k5t +1tba +2pxx +5bpd +1kn6 +2agk +4trt +4js1 +2lrr +2pv4 +2clb +3rhe +4al0 +3bv8 +2enp +2p7j +2rsx +2l4m +2b5w +4m0w +3ouu +1uc2 +2gfg +2leo +1sm7 +1yo6 +1jus +2oz8 +1jof +2gu9 +2gcj +1jq5 +3l9b +3gjy +5go5 +1ou8 +1ilv +3ea0 +4bsz +1b3t +4cfs +2c3g +3b89 +2kve +2p4d +2y9f +4mb8 +4pt6 +3cyf +2qxy +2o1m +4ewg +4hku +1xqi +1fwq +1eca +1oe4 +4btf +3rle +3gv1 +2f8x +3cbn +4gpk +2q2q +1nd7 +3m9w +1ug8 +3szp +5b66 +4fr2 +1sxj +4lfl +4i3v +2hin +1vcl +3n0l +1pbt +3vc1 +5bup +2igt +3i32 +3n89 +3goe +2z3t +3v7d +2fph +3s0t +3rdr +2cko +2k60 +2r4g +1qsm +1d2f +4dq5 +1vpy +2lqk +3c22 +2xvc +1c0n +4g6i +1rfy +3nja +5d7v +1nvp +4ebj +3bap +1t0t +5epf +4nqi +3zc0 +3sbt +2j3t +4omg +2wgn +3vz9 +1spp +1xrh +1s6y +2gu3 +2lwf +3s4r +4v3l +3bdd +4eze +4jgw +1xn8 +2g4b +1wh9 +2gat +3glv +1dm3 +3gwi +4j2h +2xdb +1dm9 +4xgq +2b7u +2ar5 +2ljw +1vmg +2bnx +1ohc +1cfr +2i6t +4pgo +1geh +2ium +2j05 +2aje +2z07 +3fcm +4i3f +2v1l +1ejf +3akj +4asv +1vs3 +3l8k +1iox +1x4q +3zzo +2elh +2jr3 +2pd8 +1wjr +3h4j +2rjb +4jiu +4fr9 +2gfp +2z20 +4f7o +5frd +2y75 +3tqq +3cqy +3kav +2ldm +1mzp +3quw +2x2s +1o97 +2i51 +2e3n +3rj2 +3mvg +2kxg +3ke6 +1mkn +2ksf +2dyu +2b8i +1b96 +3qh9 +2ckl +2o7a +2b9r +4bwv +2wdt +4l9p +2boy +3k1z +1xai +3qb8 +2k5f +5egj +1elj +4r2b +1xp8 +2re1 +1x6h +4y4m +2c6z +4oh1 +4aby +5h4z +3cxj +1usw +2qgz +2cf5 +3ckd +1b54 +3smt +2v6y +2ayt +2rcy +5bv3 +3oop +2ot9 +2inn +3ro3 +2xri +1oxw +2db2 +1vpr +3ibm +3oz6 +4n6m +1sgl +2jx0 +3wwj +2ac3 +2v5n +3h6z +2iu1 +5hdw +1vk1 +3rgc +1xwr +1dgf +1byo +1b1a +4xdi +3mnl +3g7m +4d79 +3bt3 +5itq +4yki +4rly +3erp +3hfq +2lgn +1eb6 +1vyp +1l4a +3ul4 +2hf5 +3op7 +4mbo +4j2g +2kif +2qdd +1fzc +2loo +1eo1 +2ls6 +4uhc +2v4h +2mgx +3ro6 +1dw9 +2ihy +1afs +1thx +3ueb +4wvr +4avr +4c0z +3s8k +1wjp +1ysm +4afh +1x5g +4nfn +3mzs +1eiw +2xlj +2re3 +3vx8 +1r7j +1smv +1ecm +3bpn +1nov +2o7t +4mxt +3prb +3u83 +1k6k +2lrt +2cfr +1iyb +3a6s +2crj +2hir +2k8s +3hrm +1w3i +3qwb +3uc1 +1rgw +2ptt +4kh8 +2ibd +3ulk +1lfw +2cge +2ifu +4nrv +3v2b +1wra +2eaq +3ofn +3zrp +2f5y +2w8x +3hd5 +1zvd +1szs +1nnl +2r6u +2ckk +2kzt +3sg0 +3sxp +3flo +4xl8 +2csv +1lvo +4id2 +1d0d +3qwe +4twl +1zxe +2gom +2dnn +2xsw +1d7m +4uxd +3mpc +1ku3 +3pas +5dst +3peu +3ol0 +4kr6 +4rn7 +5b00 +1li1 +3k2y +2dgs +4uqv +3jyh +1xat +1w0b +1yq3 +3wlv +1a78 +4wd3 +1dw0 +3fgq +1zm8 +1gcc +3cax +2opw +1l6w +1y6d +2y92 +2hb0 +1dqe +4dlq +3wp4 +3f65 +3ib6 +1kht +1chm +5erm +2kl6 +4v2b +1euw +3a9g +1gef +1svm +4ivv +2aw6 +3mae +4jn3 +4p5a +2j6d +1k8r +4jpd +3fm2 +2vdr +2kw8 +4wpc +4w91 +1wfh +1y4o +3ba1 +1s05 +3vax +1e3w +3i12 +2e9w +5kta +3rns +2eoc +4mtd +3cm0 +4m9f +2wjw +1sb0 +4du5 +2jx9 +3kcm +1cz1 +2rd9 +2aan +4clf +1nbu +1t6l +2m1s +1bag +2jua +3he4 +2ka3 +2zbu +4dt5 +1o7j +3rag +1vr9 +1pjx +3qgu +4boj +1c07 +3h37 +4il6 +5flm +2g0w +3qoc +1q6o +2atp +1uj8 +2k57 +1xdn +5kj4 +3rot +2y6u +1kng +3jyn +1ghu +3q5w +2yjt +2qq6 +1b34 +3lnu +3ssc +4i8i +2rfb +2i0m +4ogd +1x6f +3p9z +3ecr +3iab +2dur +2o90 +2r9y +4bf9 +3e7p +3of5 +1g94 +4bol +1o5z +4ecd +1pmh +3gb0 +3wfd +3cob +3htn +3wgx +3i65 +4mcj +3mgl +3gqs +1kvz +2xci +2yin +1z9l +3kzg +3s5j +3kts +2nq2 +2dof +1adq +1zwt +1xeu +3mq0 +1ki1 +3f13 +1mab +3zbg +5byl +3w4s +3mm4 +1kkh +1wzo +1aun +3g1p +3rqi +3cuc +3eea +3k6g +5got +3q9c +2kj8 +1ri6 +4kp3 +5trd +2imh +4i62 +3by9 +3g74 +3mzy +3v9o +1ic2 +2fr5 +1y02 +1c3g +5exv +4bwk +1ri5 +1qa7 +3r5e +2x8f +3i9f +1jnd +3gdc +4ozu +1u07 +3swj +3vvf +2d1l +3d00 +2jrt +3c9i +3d3y +3hl1 +2dzk +1aoe +5i45 +3n9x +3loc +1j27 +1ukf +4hl4 +2q9k +1ej0 +1lwj +5i8f +1rv9 +1s04 +1beo +2ebw +2czl +1a3c +3am6 +1f21 +1v5d +5ero +3lpz +4bop +2nug +2k0z +1ufw +2iiu +1x67 +3ilh +4uoi +4lct +2i14 +3ju3 +1ufi +3n40 +4f2g +1ivz +3p3c +2psd +1s7z +4n77 +1tz0 +2guk +2edv +4h0p +1olx +2abw +2h7a +1wlt +1s3i +3oyx +1j1i +2ltk +3rmg +3ulq +5i5p +2eb4 +1u4g +1chh +2cpf +2eax +2xgv +3ijd +2yvl +2xet +2hqo +2elc +3l7n +1vin +4c76 +2l4b +3fiu +3wnz +3hba +1rrz +4m8r +3r2g +1myo +3c0f +2b4j +2jd4 +3t0p +3ipr +3uez +1g86 +4i5j +2mj0 +4yg1 +1yg2 +4nn5 +3erm +4z85 +1pvg +1xi9 +1fle +1i12 +3vxv +3son +4noi +3ubc +1xfs +3oks +4giw +2dm7 +3kkc +4xij +3a7m +1m3e +2k87 +4cem +5lqd +2kld +1u7p +4e9l +1efu +4qt6 +1pkh +2w4e +2zoe +4bja +2xqx +2xsb +1o5l +2n6e +4ix1 +1zhx +3m6i +4rfl +1yhu +2pul +2kzx +4jys +1t3a +1kjn +1h6q +1v72 +3ot6 +2a1i +3vva +1u9n +3mfx +1xxl +3vay +3gra +3i10 +1pgw +5swc +1lrt +1fka +1kk0 +4c0n +2lva +1lqt +2xdq +3lz8 +2qgy +2hsn +1jlc +2cbz +1a32 +4dlo +2dzl +4lm6 +3by8 +4gqu +2csp +2ds2 +2es7 +1ups +3c8c +1sgo +2x7p +2bdd +3zh5 +3mcr +4po2 +3wa6 +1wdc +1ym3 +1m2a +3kgy +4of8 +3qyq +4epu +2kdk +3lmo +2czq +2w7n +3puc +4y1e +3hbm +3qw3 +3rf9 +2fu4 +2lev +3dah +3h78 +3hgm +2oai +1ka8 +1veh +3k4h +2km4 +4tt9 +1ibt +2g3v +1cx1 +1o20 +2jg2 +2y43 +3g0t +4bhr +3wod +3jqo +3fbq +1ahl +3nre +1rxl +1lu9 +2dru +3jru +1ik7 +4c4v +2iew +4dxz +1tzf +2bnk +3zn6 +2b9e +2lak +4oj3 +3qw4 +1z94 +3d7a +1k5c +3ryl +4arv +4okm +4zo4 +1u9d +2dn6 +1shy +1yrl +1pkf +2nbm +2d5m +2cfq +1f39 +2kxe +1vsr +3ubt +2pia +5lsz +2ab1 +1qfx +3aj3 +1kc6 +2jdj +2dqb +3tbf +5hiw +3ap9 +5ixg +3q8k +2pq8 +2xhg +1tqz +4zah +2f9a +2jv9 +3iuo +2qv7 +4jot +3re1 +3qxf +2zie +2vi6 +4h41 +3dxq +2yt4 +1iiz +5hee +3g7n +2uwa +2fvg +3i6i +3kra +2kmw +2ia2 +1fy7 +1u9y +4hlb +1uel +4j37 +2doh +1y9k +2hez +1wu3 +1mjt +4k8w +1ayo +2jbm +2r9q +1bhd +1aqt +2bay +3w5j +1t6s +1b8p +2xg5 +2pmv +2cre +3idf +2dnf +2rre +3bnw +4ywo +1slq +3lfj +4krg +1s9r +2j7q +1pav +2ab0 +2l2f +4icw +2p19 +1euc +4p2i +3d3s +2cg8 +3tev +3bg2 +1m1h +5kp7 +4o2h +2m7b +3p04 +2poi +5czl +4o4b +3gd6 +5dn7 +1x1f +1ne8 +3d7j +3hbk +2zwi +1tkv +3cp3 +3ni7 +1nns +2y4i +2dyi +4mgq +1reo +2x8x +4a63 +3fb2 +2lxa +1wcz +1piw +3vpy +1wuu +1ztd +2kat +3dca +2yr1 +1nxu +1cfb +1s9u +2lnz +3mez +3h38 +1o65 +2jys +3wvt +3f5c +1rqp +5dl5 +3wx0 +1cke +4wcg +1sui +2jns +3on4 +1whq +3l4n +3a4l +2v8e +1wvk +3jam +2ifg +2d68 +1f2u +2ql8 +4bqq +3hrs +3cq4 +4ri1 +2i15 +4rcj +1szq +4rxu +3nzn +2yay +1h65 +2k2e +2rde +1aip +4k00 +1a2p +5lnk +3c4s +2g80 +2lvl +1qqg +4kqd +2jvr +2iwo +2j7a +5k3q +3vr0 +1x5w +2dho +3tos +4az3 +1ia9 +1tm0 +4ot7 +1tff +2atz +2k2w +3d55 +1vbf +3lov +2ckr +4lus +1r9f +1dd5 +3lpq +3kbo +3lnb +4fqp +4i9f +2dwb +2bud +5lbm +2yzc +4f6c +3n6z +1hpw +2o6k +2rfl +4kmo +1fft +2p12 +2vep +1n99 +3b42 +1o9a +3cuo +4on1 +1tq1 +2amd +1fw3 +4e1s +4dbh +1k78 +3oj0 +4w8o +1owf +4dn9 +4zxe +1dwu +2wjq +2vpz +3e4o +1e57 +4ofy +1xly +4fzq +2pjh +2hyk +4qtz +2r9u +3hi9 +3gty +2lyc +4v15 +2nrk +1fo8 +3l44 +1wjn +1wmx +4ee9 +2vg9 +4n4p +2kxf +3frq +4j87 +3lyx +3ri6 +1okg +5a8i +2pi0 +4hyj +2vq2 +4l4q +1ns5 +2vor +3k28 +3dcy +1lk3 +4buc +1vq0 +2mou +2kvi +4gqm +2k4q +2l5o +1pih +1x5l +1cmz +1vhk +2q3f +3mcb +3byp +1wdj +2zbb +2edm +1eij +1uxd +1ql0 +5ee2 +1j03 +2i0z +2lg7 +2odt +2yzv +1u5d +5g0a +2lbo +1gl4 +4ozx +2bgi +3hxi +1o4u +2mg4 +1fhv +1rii +1eaz +2efv +2j5u +1rtt +3g7p +4rk2 +2ptf +3s4l +2qzc +4i1k +3mhs +1lqa +2kx7 +3tdw +3p24 +3hin +2vpa +2p6a +1xe7 +1v5j +1v5t +2o38 +3clv +1wim +4o32 +2r5r +3on9 +3enh +4nbr +3vsj +2kcj +3cue +4gyv +1x31 +1odm +4omb +5jxz +1ow1 +1vd6 +3cx3 +4r62 +1dk0 +2dbh +4r6k +1o50 +2k9y +5hft +1f2n +4gb5 +3gt5 +3evz +3dl2 +1tot +4tyz +2z4s +5aar +1v84 +4pph +2mri +1cm0 +3fog +3pfn +1x0p +2hku +1vk5 +4kru +1pxz +5jze +1xne +1u1s +1g8q +3emx +3zhg +1a5e +5buy +1vkm +1jay +5dqv +4gf3 +4gj4 +1xed +3hj6 +3o7i +2yvi +4ae5 +2yky +1jmm +3hbf +2i5t +1vhx +2f8m +2kqa +1m8z +2w82 +1rzu +2dam +3hnm +2xqo +2adl +3q6o +4qny +2ep6 +1o5x +4azc +3r0a +3up1 +4l82 +2ooc +2cop +2csy +4mi0 +3goh +1auq +2jtc +2kf2 +2ftx +4lhf +2kjq +1dt9 +4bvq +1y81 +4rxm +1dct +4ng7 +1bnl +3zoq +1wkr +2afr +2ei0 +5cyg +3gza +1fjg +1cel +2l66 +1e5w +4cl2 +2lx7 +2vsd +3ngq +3myv +2l6h +1e7w +1t6a +1wfi +3m6m +2wus +2obs +1psy +1njh +5e16 +3f2k +3s40 +3uj6 +2dre +1q74 +3s9d +3bja +3gaa +4oi3 +3hdl +1vi5 +2heu +2js3 +2rfa +1p7h +4qzv +3uor +4tn4 +1fdu +1c77 +2oxc +2joe +2ocg +4eac +1gz6 +3sqg +2bjn +1wfd +3tuf +2gjl +1u8z +3u80 +3aek +1agj +1ylx +3tqv +3hwu +4rng +1ip9 +4b28 +4uxu +4w5u +2kud +2kks +3ccy +2bi0 +2kv8 +4fn4 +2wj9 +1u5m +3u97 +4nof +3i7t +2gs3 +4hb1 +1lnz +4hw0 +3i4p +2xhz +1eyr +3g8q +4jej +3oft +2f6e +2qh0 +2xgu +2q02 +3gy9 +4a5p +3swf +3r2p +3poh +2daz +2nwl +2pjp +3wx1 +2qmi +4oxx +4exr +4fdy +5ijw +4jpq +1ypx +3fkq +2bhs +4boe +2pva +1qgi +4yx1 +2hjh +4ak2 +1win +3o0w +1c6r +4nim +2pcj +2wvs +1c7u +1wch +3k9d +2d7l +2kcq +1o9i +3e3v +1oy1 +1j1f +3dee +4ce7 +1kb2 +1m1f +4ae4 +2k88 +1ez4 +1ohg +3bu7 +3eag +3rt3 +1na7 +3lif +1gsa +2g7u +1zak +3f9i +1zel +2hnk +1b6q +3on7 +1dxk +3dpt +2avw +3lhn +2ltu +3pl2 +5cxx +4amu +2dgd +1baz +2fzv +1wix +4ap5 +2ou3 +4i17 +4d3d +4qp0 +5j92 +2mob +1ufx +3l6d +2l9b +2zvf +4eye +1omi +1tki +3e11 +5hj7 +2iaf +2l1a +1td2 +1ow0 +2q1s +1vho +1r1d +2b02 +1v89 +3b1n +2imz +5fo8 +3zfi +2ccl +1or7 +4dtd +3vd6 +3no8 +3sib +4emi +4c0f +3ce9 +1ydg +3l5l +4lub +3h1q +3kv0 +2j82 +3c30 +1urr +4pmh +4i66 +4qi0 +1uum +3fw9 +1lkv +3pf0 +5ezq +153l +3gc6 +2gh9 +2mqd +2pjs +2g5c +2vyi +4noo +1wyr +1l6o +3oov +3sbx +4gvl +2ozj +2nv9 +5isz +1jcm +4fs8 +3x27 +2v94 +3nwg +3dss +1zq9 +2knd +4py5 +2epj +2fuk +2hna +2cnz +1lit +2cqf +1u61 +4cp9 +2qhq +2c5d +1sr4 +3f4s +3s63 +2xtm +1zc0 +2dsb +2l1n +3l6g +4mgr +3lq9 +2jek +3hv8 +1r6t +4nq1 +2reu +3zdr +4eis +1sji +3kpb +2y8t +1mgp +2h1i +3vyn +1bja +4okc +3lm6 +2esn +4v1g +3nrv +5tkw +2gy5 +1tqn +1g12 +1itu +1esm +3m3g +2kgs +3khp +3ke7 +2pml +1nxc +3x1l +4ef1 +2kpu +1mhy +1i6a +4oyc +3c2q +1x60 +3s83 +3fdw +5a72 +1pg6 +4h4r +1bbh +1gpc +4bpu +3uue +1eke +1j1d +2o01 +2ew8 +2b6c +2mc5 +2q6d +2mct +4psu +2jjm +2mm0 +3s2w +1csm +1jei +1cc5 +2pb7 +3rac +3ixc +4yjw +4ns4 +1bbg +2jwn +3uwc +2a6q +2l7p +2qag +3a9c +2xfa +2hr2 +1m1g +3ah5 +2gfq +1xcb +1v2d +2xme +3f5b +2dsm +2c71 +4iap +3w0e +4bf8 +3uk3 +1z0x +1r17 +3ngx +3i7m +1l3e +2ca5 +1cee +1hcr +4g2a +4zgn +1kg1 +2y9y +1ykd +3cdh +3kyi +2drp +2yg8 +2kg5 +3qp1 +2wbs +2bb5 +1bym +2vng +2b25 +2gtj +1ss4 +2oq3 +3adr +2pe3 +1js8 +1zyl +3kzu +1sj7 +4h4n +3isy +4idc +3kp7 +4csb +2bfd +1gxr +2js7 +1ccz +2nr5 +1gtd +3apz +3r23 +1s1c +1i2k +1wmw +2qv2 +1qo2 +2dlg +2pb2 +1vl7 +3ls1 +1djs +4fym +2q0i +1qor +4m3l +2vsw +4emo +3p3v +3pft +1b10 +2vpv +1rq8 +3oco +3f02 +3u1x +2mgv +1e5p +2kc5 +4rlj +2pif +1fvu +3vxm +3okq +3a5v +2ffi +2pfu +2jq3 +2guz +2qr6 +3ai2 +2iak +3qkg +1bt9 +1sh1 +1s1d +5jip +1eam +3bwn +2w1j +1mhx +1wgw +2vsh +3n7c +3zfj +1gkg +1ct8 +1es7 +2wf7 +1e6d +2ofy +2bkk +2dlp +5t17 +1kag +2e1m +1izc +2kji +4ch9 +5bq5 +1vr6 +2l7k +1uem +2ljk +5g4k +2amx +3wgb +3uc9 +1g60 +3k2j +2kil +3hzj +2x3m +2f2e +2idg +5esw +4eqm +2a6v +1khc +1h8l +1y6x +4jkz +3sl9 +3c9q +2ls5 +2ppx +2z0q +3zmd +1hn6 +2kl8 +4kv7 +2gx5 +2qts +1o6y +2gxf +1gyo +2lm4 +3l7w +3wnv +4f1j +1g2h +3f5h +2iw2 +4w64 +2bw8 +1b2r +2co9 +3d6j +3pm2 +2g8l +4bcu +1wpy +1jfi +2fg9 +3ddm +2gz4 +3i9v +1uly +4yxf +5dik +2j7j +1fvp +2yrm +3bgu +1eur +4lji +1zw0 +1jb0 +3stu +3k13 +3dmn +2ww5 +4ncd +2nms +3bf7 +2ymk +2lbf +4xk2 +3b83 +3h3e +3qcp +2kdp +5cxm +1vp7 +1t9m +2zbk +4jn7 +2qdf +3m1u +2dle +4gc5 +1nbw +3qr3 +4zfj +4zqb +2cqm +1knm +2cs7 +1oi6 +2xmj +4ija +3j27 +2zsg +4pwa +4b09 +1mvp +1fc6 +1d8h +3kh1 +5cir +3lwk +2zqe +3h51 +3i9s +1jal +1cq3 +2j3v +1v73 +1a9y +1qu0 +2rhi +2xdv +1klp +3i9x +3twk +3qph +4o38 +1w9y +2e5z +1byw +1dvp +2dhs +4n68 +4wcw +2lcr +2ox6 +4r4l +2kr6 +2wqi +3hbv +1rwj +2iye +3jve +1ygz +4fb2 +1jss +4gm6 +2z80 +2re2 +2c47 +3qit +2o3i +5gm2 +2fmy +2fyf +1xwm +3c7x +2f37 +2kz4 +3wa5 +1a7s +5k9x +4hzn +4n13 +2mf4 +3pi7 +2do0 +5bz1 +3q41 +2dpy +2axw +1pn5 +1pue +5crf +3jb9 +4nwp +4cpd +2gmw +2cxh +2o1b +4q34 +5ik2 +3lxf +2m5y +3hp0 +1qna +2qik +2yx6 +4rel +2f3n +3i44 +1mm2 +3k66 +2hje +2knj +3tau +2ia1 +2k4m +3sh4 +2z6c +2lyi +2l8t +1zzg +4w8q +2ib8 +3d7l +4zbw +3wih +3abb +2uz0 +1uc6 +3ijf +3oo3 +3fg9 +1h5w +1x2n +2ixs +4ev0 +1iru +3u62 +3gmg +2qyz +3gyd +2g43 +3rpt +3nv7 +2awi +2xs2 +2plq +1nrk +2kzb +3oc4 +3ijc +1jo0 +1qo7 +4fk5 +4cc0 +1udl +1iyx +1pv5 +2lm0 +3vcx +1dyp +3hue +1g1k +3s6s +4lds +4dt0 +1r88 +4xea +2g1d +2vzy +2i6u +3qok +4myp +1gxy +5crw +3lho +3p4g +1pfk +4e70 +4njm +1ak6 +1p9s +1bcp +3eq2 +2coc +4rsv +1zs3 +4nu0 +4xq7 +4djg +1hi7 +2bvf +1zud +3tvm +2hly +1nw2 +2xvo +1fdr +2plj +5epo +3onk +2fur +3cyp +3u1w +4i86 +3ktw +3zv0 +1tig +1vdm +2dbq +2dai +5l73 +1i27 +3kg5 +1skv +2dd4 +1yqz +2p8b +1ojt +3k9t +5ep9 +3jq0 +3ojc +4gxb +2wb0 +3ah7 +2o95 +2lkl +4fk1 +2fpn +2lbc +4m2m +1gh2 +1a4i +1k4n +3kl2 +4trk +2w39 +3c5q +1dkl +1w2q +2qnv +1ls1 +4ixj +3kty +1tpm +5ig0 +4f0a +2h09 +1ox7 +2kco +3dkz +1nf3 +2iuy +4s3m +2dql +3tl8 +4uoy +2nlv +4g29 +2icp +3cqc +2ei9 +2q04 +2g1l +3kki +3jvv +3lhi +2ed6 +2gzm +1gmu +1z7m +3hic +4ayc +1ujt +3qyy +1nlq +4rgy +5ibq +1p0k +3a2p +2ful +3swh +1y0g +4erh +2iyf +1c0p +3e4b +4oo0 +3gwq +2npo +4oq1 +1s5l +2pt1 +2ekg +1csn +2jii +1ymt +1leh +2w48 +1c0w +2d6y +2qeu +5dio +3jvd +4c97 +3nzb +3ako +3wle +4d81 +1nvm +3r0s +1zun +1n00 +2r4f +2vrk +1xdz +1w94 +3zco +4ab5 +1bgg +1lzw +2pbe +3k4g +3sm3 +3mc6 +2w3j +4gud +3be5 +3v0d +1lq9 +4g3k +4m70 +2j8p +1u2x +1lrv +1dpm +1tfs +3lom +2ale +3s01 +1j83 +3v7n +4a8t +5jsq +4b6u +3a0r +1esc +3hwr +3g9v +3ftd +2ly8 +4dqv +1a6j +1o4t +2lki +1z7p +1ajw +2hqb +2m0r +3rq1 +2gwc +1u08 +3brs +2ljl +3pv4 +3od1 +4p22 +1nqj +3h7t +1n62 +2n1f +1ce3 +1fg5 +2rb9 +2yjg +3v0r +1ekr +5bwj +2ee3 +2kke +2oku +3fkm +3s8m +2iab +3eeg +3dgt +4m85 +2gux +2dul +4gaf +2m87 +1rtq +1gd5 +3dcl +4dnu +4wuv +3ok8 +2ig6 +1a6z +2y7b +3dzm +1zvz +3p6l +3cbf +4mlc +4usk +2lta +2ply +1gvn +2ew2 +4f6r +1qzz +3rgf +1f94 +1qys +1s4n +2w1z +1j2j +4bd9 +3vvv +5eka +3hdo +1yt5 +4iir +2p5y +4bu0 +3h6e +3isz +4ej6 +1wwv +1gz1 +1r85 +1zdn +1xdy +2gzx +1g19 +1zgk +1h2i +2zm5 +4r27 +4ycs +1h7z +2bis +2arf +2x3f +4nqr +2epp +3b7k +2pyw +3rkg +3gir +4jgu +1hyh +3bp6 +4htg +1eok +1bik +3f3k +2qnd +2f09 +2nte +3w9a +2pf5 +1a25 +1xr0 +1u00 +1of5 +2dmi +4qnw +1ept +1qg3 +3h2z +2vp8 +5eh1 +2oqm +3bhw +3lv9 +4w6y +3qwx +3hri +3nsk +4l6v +4zgl +5dud +1vdd +1usm +1h1c +5buk +4hy3 +1oht +1s2o +2m1c +2k0m +3u37 +4h18 +1r4s +1aps +2wv2 +5gv0 +3kev +5ljv +1f56 +2k9k +1nee +1z2n +3gyc +3tql +4n0q +2veb +2jx5 +2lu1 +1iap +1v5v +2mbt +3ndh +3ebr +2o5a +3ii7 +5hs7 +2pw9 +1j2n +3e59 +2lnl +3tgn +3ej7 +2oml +3iv6 +1gtk +3nrl +3g13 +1utb +1lmj +2qsj +4gn2 +3tdn +1bpb +3mlp +5a4a +1y7x +4e3z +2wt7 +4fzl +1v1c +2y8p +2wm1 +3zil +1aep +2i6d +2kfd +2od6 +5h3x +1eyv +2pwy +3jrn +1ohn +1k2w +2xtw +2v81 +4qoz +5h04 +4cua +4af8 +3ljl +4pzc +1t0p +4qiw +3k3f +2p3h +1mke +1a40 +1zpv +4n4b +5ip4 +4xvh +3b4q +2eo6 +1d4o +2efx +4xlo +3c9p +2qfi +4qjv +1awj +1iuf +3icu +3tdo +1cfz +3qga +4fi3 +3uul +3qkt +2f1r +4igi +4ix3 +2n99 +5co1 +1tol +3m86 +4a11 +2mnj +1gen +3h3l +2mwm +1c3f +1b1y +1esl +2zsh +1wck +1aih +3e7l +5tme +3f56 +1wgm +3e1e +3cgg +3ewe +1bvo +3os6 +3kv5 +4rhi +4n5q +1g6c +3f61 +1r5s +1six +1pc0 +3pzg +4oay +3f9s +1rcw +2job +5jfb +4hu4 +3ble +1xqr +3llv +3c6a +3ix7 +2pqr +2x32 +4yzg +3g85 +1c7k +1yu9 +2vh1 +5ep2 +5eo9 +2fxt +4fs7 +2p17 +2rql +1jzt +3kio +1vku +1xv2 +3cog +3pln +1wk0 +4bxi +4wxg +1m6y +2k2q +3qqa +1wh1 +1o7f +2e7m +4bin +3om0 +3mca +3ege +4ay7 +3k4z +2yux +1wa3 +1nhp +2vzc +2gr7 +5dl7 +2qg7 +1b9w +3k3q +2f5t +2xev +1wg7 +4xi0 +1hdo +1bli +3bwg +2j9w +5ljw +2km7 +1gwb +4iuf +1mbm +3l6e +2yfv +4nnq +1v07 +4jrn +1jya +5eyr +3vk5 +2lt3 +1ur1 +3qv2 +2etv +2jep +2vyo +1otj +3ihk +2kel +1v6a +1jrp +4dmb +3u0h +1t90 +4xh1 +5f33 +4hlc +4gyo +2je6 +1g0o +1mgr +1r94 +3he0 +2b9w +3nbx +4c2m +4dqn +1b9v +1uep +2bgk +4mve +3n01 +1hl6 +3tsm +2ex5 +2ars +2rlp +3ce7 +2ekf +3whp +3rdk +4r5d +3zpg +3v69 +1wgo +3ect +3vps +5t3e +3tfz +1av1 +3e2j +2d9j +2zwr +1nyo +3tw5 +2vxx +2cte +3b8l +2jv8 +1y8t +2lc3 +3zx4 +2erl +3cfy +1mr1 +3f7s +2w2g +4fp4 +1ft9 +4iu8 +3i83 +5trb +2yho +3h1d +2r5v +1wvt +3vgp +1g2n +2f9t +3chx +3wfw +3cmb +3bzv +4gjt +4wpe +2o62 +2r7c +1m7w +1ia6 +2wyl +2kpo +1x2g +2vc8 +4n6q +1rku +4ymi +4ae7 +3f6i +1wer +3mn2 +2vix +2kiz +3whk +4c84 +4pdp +1opc +1rwu +3bxp +3k01 +2cc0 +2ef7 +4r7k +1mvf +1tuz +2q1k +2nxq +4wwm +3n28 +4fnx +3l22 +2vmh +2n98 +1aq3 +3bes +2xgc +5m1p +1nt4 +4zmm +2xf1 +4ldr +1taz +2htd +1k7j +1c9f +2xt2 +3fz2 +3p06 +1lom +5jgf +3f9u +2kgy +4hac +1tyy +4jj0 +3niy +4jiv +3p3l +1v61 +2i0r +5gz8 +1rmj +1pw5 +3r5g +3b4u +4v1r +2f4l +4r5q +2fiy +4u10 +3co8 +1wvu +1uw1 +4he8 +1m5w +1gxm +2cye +2kgt +3cdl +3hjg +4hsl +1dqn +1tfr +5f1m +4cll +1xiy +2ffg +3rq4 +3vqj +1rkq +3i3f +2l6m +2g7l +2ijr +5jh8 +3zug +2l03 +1yx7 +4ky9 +3tcv +3hbc +1y4c +1f3y +2d7p +2ha8 +4imr +4k02 +4wfv +4nkb +2bc4 +4rk4 +5u4n +3mlf +2mc3 +3hug +3en8 +2vd5 +1a1x +2pq7 +2pmi +1wsr +1s5h +2cqq +2cpz +1f3m +3oon +1tfk +3h2g +2lt5 +2jzj +3net +3fke +3lmb +3e02 +3phz +3frk +2m3k +1wx9 +4h0e +2hq9 +3tul +1qhu +4gym +1bs0 +4z0t +4urj +1ok3 +2eay +1i4w +2rng +2phn +1shu +2rbd +1wgf +3h31 +2dsj +3pnz +1u89 +3o2p +4zs9 +3bni +1te7 +4lj3 +4xch +2qor +2obp +1gca +2l10 +2nyt +3bgv +3q3v +3w1e +1nnw +1h3l +1y8x +4ldg +3i3t +3orj +3rha +4jp0 +5a6s +2lrw +1dgl +2z3g +1zlh +3s2c +1w53 +3b0b +4nk6 +4bhd +1es2 +2xsz +3fkd +2efk +1uoc +1qgh +3fgh +1oks +3hzz +4dzo +1yr7 +3pm8 +2zom +1ujs +1ppj +1s7j +2jz8 +2mhh +4txw +4q6j +3efa +1anx +4hcf +1jc4 +2fm8 +2lpm +4l9c +1qe0 +2qyw +1a0c +4fzs +1xkp +3ucs +4jix +1riq +2otm +2epc +1t50 +1z4e +1jh6 +2woy +5ly3 +3wi7 +3x2h +3d37 +2x5y +5ixu +1dfu +1fue +4gr6 +2n9u +2qkh +3qc5 +1m4w +2rdp +2vn8 +1f46 +1wgh +1y8f +3bzb +3knu +3c5w +3fcd +4h7l +4lzl +3ide +1pyc +1a44 +2e44 +1x6b +2hh6 +5dno +2dbc +2pr1 +1wzz +2yrk +1j0w +2nxf +2e7k +5bw0 +4iw7 +1n69 +2y27 +2x5c +4g3d +1l3k +3imo +3ejb +3f1x +1j5s +1q9c +2y30 +1jfx +4r8z +2i9i +3otl +2cr5 +3uyi +2ihr +3clq +2qz5 +2bh7 +1xf8 +4p7a +4ga0 +1kvi +1izy +4kjm +2xbk +1qsd +1vjv +4bwd +3rbs +4x30 +2dfj +1h9e +2mx8 +1js3 +3l6v +2okb +4z8j +1kli +2mpk +4tjv +5cec +3i24 +3ewm +5l3s +5gka +3iqc +1z72 +2nyl +4g9q +2mjm +3s93 +4e6z +3nnq +1zc3 +3bs9 +1ekg +5cm2 +1g3j +2p0s +3lbf +1k1f +2img +2cx3 +1ywk +2km8 +5llt +2i10 +1jtd +2l4e +3juu +2mgz +3uws +1l3a +2vec +2pnd +3hkm +3cf0 +1u8s +5dl8 +2mqj +3s0x +1gxe +3ix9 +4lpq +4pw0 +1w61 +3lbe +3f8k +1bjf +3iv4 +3te4 +2lrd +4kq9 +2aaj +4h7n +4ayl +2con +4cc2 +4o6v +2i79 +1qaz +3nkd +2cpj +1p4w +2psm +2mc2 +1qmo +3ico +3lb9 +4e19 +2jo1 +1wkv +5ts9 +1x19 +2gzr +3col +3dkx +3js6 +4uob +1pg5 +4zxo +2h8l +3zdb +3gfv +4djb +1mz9 +2r60 +1zps +4fzr +3rlf +4nrh +1yjg +2rdq +2wp0 +1aoo +2xgl +1xhh +4f7k +3d3k +3two +3tqt +1zys +3ef4 +3i4h +2efi +4qfw +4rs1 +1q6a +1w4v +4dcm +3fcg +4dip +4p47 +2cob +1hzt +1e5x +1ya7 +3fef +2gtl +1q59 +1v5m +2gd9 +3h5l +3oet +3f9t +2rcc +3akh +2fxa +3wj2 +1a8p +1v54 +5a8r +2yl8 +1r6r +4gei +2kp6 +1ji7 +4g3c +2pw6 +1wij +3rqz +4cw9 +2r47 +3tp2 +3i6u +4d02 +1i82 +1ktg +1fi4 +3k3s +1ql3 +1dqg +3df7 +1h8e +3ljn +1sv0 +2yfk +2y44 +4zkp +2cc3 +3e48 +5tse +3isl +3t4n +1dmh +1ci6 +1f5t +4het +2lwx +2jtv +3zt9 +2cls +4qfv +2hdo +1cby +1lj2 +2k3y +3ht1 +2lm3 +2ysi +2bv2 +2cr9 +1y80 +2hg6 +3b4w +3k6y +1jvx +1d4a +2qkp +2yra +2wsc +4qu2 +2ko1 +1x40 +1yoz +1qf9 +4cpg +3cqn +3i47 +2ons +2al6 +1vee +4pmn +3zs7 +2w53 +1j3m +4g7n +2azn +1vjz +3c3p +1fp2 +2fgs +3k4i +2qh7 +4mnc +2cor +2vpt +1tua +2uwi +2gn4 +4chk +1wcu +3zxo +2if4 +2e8p +1oww +3alj +2yyo +2d9d +2pli +1pz4 +3fg8 +1s3z +2kll +3blh +2ox7 +3frr +1y6z +2qe6 +1nkq +3bry +4dun +2iuc +2fbh +2pei +2xkr +3l3s +1e20 +3tii +3vnn +5swu +1w23 +1lkt +4odb +2fdb +2e9y +1k1v +2crv +3bw3 +2wry +3pic +1omo +1zmo +3gpv +3k7x +1m55 +1sgj +1nun +2v1r +3vrh +3hlu +4dad +1hek +4mj7 +2y8k +1ub4 +1epa +2e31 +3f6z +3hlk +2wa5 +5lba +2ayn +1ehi +3daa +5a0j +3men +2v5t +3bfp +2i2l +3eo4 +3kan +1u0j +2g1e +1a6g +3k0l +1z82 +2fcb +2if1 +1u0s +2k9j +1rc9 +2b9l +4lqe +4oxw +1t3d +2lwd +4rs2 +4pqd +3k6k +1jjo +2g9w +1g41 +1yir +3rx6 +4jb0 +1a5y +5d5g +1ksh +2r01 +3sho +3fn5 +4flb +1q98 +2yc3 +3lsj +2n17 +4xt6 +1wj4 +1uyn +2k7b +3bb5 +1rhf +4w7s +3h16 +4e6n +3bpk +3f0a +1gq8 +1w97 +2r6t +1dwo +3k21 +3ec4 +4bjm +2aj7 +1jy1 +5hvq +1usy +1suu +3csq +2gtt +1ade +1tfe +1jid +1bx7 +4q65 +4kyx +4e6k +4hq1 +1h97 +5hba +2mhy +1x6a +1eje +1nrf +2k9x +2b0u +1mzk +4h5u +1h91 +3cuq +2jp7 +3b8x +2jig +2v33 +1rwz +3f0h +3av0 +3nrb +1hpi +1l6h +3tt2 +3flh +5dqp +3pve +4psc +3a04 +1pl5 +4zi5 +4ywh +2d8i +3aam +4blo +2xgg +5iai +1ei6 +1yix +2wqg +3wqo +1i60 +1tqg +1fec +2oqo +2ege +4dxk +4eln +3ec3 +4bfe +1yqq +2bou +2yut +3elk +2xz2 +3it8 +1vlp +1t0h +1b0y +4k7j +4ayo +1qr0 +3h74 +2dhy +2wp3 +3tee +1yln +3ov2 +2p39 +2dpl +4e9s +3c18 +2ylk +1s6i +2ao9 +2np5 +1rep +3v76 +4izx +2oqh +1dbh +3bkx +3b8f +3s64 +3egq +3vfi +2hyj +1v9k +1m6e +2qpw +2o71 +2qsr +1zc6 +2cki +3meb +2wmp +2jya +4pag +1yi8 +4bpz +2x4d +2fji +2d0b +3jtz +3hde +2g18 +1wmv +3pg1 +3guv +1a7w +4kkd +5ffi +1iw4 +3dfg +3kkf +4lty +3k8u +1vg5 +3jyo +1z2l +2jo6 +3pmi +1b98 +3fxt +2qmq +2ltb +1ok8 +1el9 +5e8v +1e2j +3fcr +2l49 +1t6r +3pmc +1vd4 +1wyj +1ywl +1oaa +2pqm +3bf2 +2e8o +3w6u +3t9w +3t33 +1kn7 +1ng7 +2rlq +1vf6 +2wjn +2gw6 +2v05 +1v71 +4c7q +1p5z +2xf5 +4d0n +3nuf +1l8y +2xkb +2l7e +1rdf +3bf4 +2icw +3gzf +2ogq +3uca +6pax +2op5 +1hcc +3vhx +3qwm +2l81 +4fd9 +2w83 +1e5e +1eys +3djm +1w4r +1bol +1sfp +2yzq +2ld3 +1p5j +2je2 +4dov +1ltm +3ab1 +3hno +2g9z +4iyk +2l4o +4ffb +2esh +1xdx +3vbe +2cdu +4hr1 +2fbe +1tuw +2yxx +3vvb +4xhy +3dl1 +3ljc +3w0f +3kxa +1j1j +2kzs +3euo +3aqg +3ogi +2bbe +3ngw +3k2o +4n5h +3g3t +3f0c +1aja +1wy6 +2ct1 +1rcq +1mkm +4lzk +2dl5 +4o2z +1g38 +3euk +1yw4 +2icu +1yb1 +3gha +1puo +2n9b +1d3y +2djp +2kw7 +1l8l +3fz0 +3kzp +1hjz +2mx2 +3f1b +3bpj +1xfk +2cs1 +3n0u +2irm +3fi9 +3enm +4i0w +2ypd +2jxw +2ark +1lcs +3c3k +3gnl +2yrb +3ij6 +1zkh +1lt7 +3u60 +3wwy +4n91 +2oqg +1f5m +3ejg +2rkc +2cq0 +2bka +4gbo +2blf +2qcv +1i17 +5h9f +1wv3 +5fey +4low +4j3f +2apl +2qmx +2dr3 +2kw3 +5dnl +1zoq +2kl5 +1flt +3egc +1wnd +1u5q +3ei3 +3c1d +2qlw +3kws +4mi7 +2k36 +3fbg +4bx9 +4m01 +1cdw +2xcm +2gcg +1nr6 +1zcz +2x6n +1xm7 +1nu7 +1nri +2hxv +2wm9 +3jw4 +1rp3 +1vcv +1ig8 +2yz2 +3lsg +1r21 +2zfy +3dfu +1y3t +1ilo +2gza +4ep4 +2kzr +3fxa +4ljy +1b35 +1zkp +2gb3 +1gtt +2zkt +1y14 +1k3k +1ij5 +1u5t +3trg +2kcu +1ll0 +4cki +4avn +4ozj +1fxz +4d3p +1wrj +3nvn +3iey +4jyj +2mhg +1tzd +2uuq +2mhj +1xja +4cn8 +2bye +3fw7 +2c0k +3luc +4uml +1j30 +3hra +3eyy +2wyq +2jmc +4dw8 +3g7k +1fm4 +2pbx +1pzq +4m7c +4k90 +4ezb +1m2k +2bdt +4q28 +3d1p +3eu9 +3w6k +1r1m +4kwy +2hek +4yif +2fea +5buq +3o0m +3hzs +2vm6 +4atg +3pcr +1zkr +4huz +3mt0 +1fgy +1wge +3mdm +2rqa +2ooj +2jhe +1hcf +3zrg +3mnf +1rrs +2rvj +3gjz +2imq +4kpn +3d89 +3ejv +1fmt +3qp6 +4pkd +3phu +3of6 +1s68 +1jy2 +1ug2 +4los +1jpd +2aeh +2rik +1zxj +3ozb +4hbz +3lnc +4dll +3dup +4ccv +4mx8 +4eqy +3ipi +1ar0 +2zjs +4hpm +2nnn +4htl +5cho +3ng2 +3mb2 +1k04 +3vpb +1kyq +4ylm +4a8j +4oyd +4oan +1gvf +2abq +1yrw +2gwg +1z56 +2yg5 +2is9 +4c9y +1dlp +1f4q +2oe3 +4c8y +2m9a +1p99 +3mr0 +3qhb +5fqd +3ea9 +1w4s +1vk9 +2wt9 +1fbq +4hvm +1r61 +3f42 +1i1j +4psw +4qdn +2od5 +2hww +1ce7 +2h41 +2e85 +4b4d +3cnb +1g23 +5esc +4lgq +2jzx +2kq1 +4lni +3txs +3fy6 +1o3s +1xkn +4u1c +3c6b +1yis +1fio +1ky9 +1nnd +1ci9 +3a46 +1ozn +3hrn +4gyg +4xs9 +5dmm +3lte +3f8l +1wjt +2mky +1cpq +4zgf +4ew7 +1mi1 +4rya +2lyx +1a00 +3fzv +1tyj +1fjj +1x4r +3ctw +2gau +3vv5 +1cjw +4yn3 +1zcd +2drv +2z1m +2dbg +1m1q +4apm +2w7q +4pfr +5cmo +3g3l +1uxy +3rva +4bsa +1pyv +3cvg +3q6d +2b5v +2vkj +4f32 +4jel +3gwb +1wfu +2hhz +2ziw +3gxv +3cz8 +1o17 +2b4w +2l8o +1t2o +2nwt +4rxt +1uag +2kts +3dcx +1tuh +2pqq +2kvz +2a1x +1h3f +2dym +1v6f +1put +1t07 +3q15 +2rqk +2w07 +2q37 +2w0n +2w45 +3r5d +4i84 +3fcn +5j6b +5aq0 +4fum +4ev1 +3heb +3hhc +1q35 +4q52 +1pbg +4g9b +3l2d +4j0x +1v3e +3wwx +3shq +4olq +3nct +1ub1 +1xqo +2ns9 +2een +1onf +2gli +5flj +4kc7 +4fqd +1cdu +2h8a +1so7 +2lfh +1r3d +1r8o +2y4r +3dxp +1dcj +1jj2 +2pzm +2v6f +3oid +2cup +2pl2 +2dn0 +4zos +4fo9 +1adn +3d33 +1wk4 +1ab8 +2ra1 +4p1n +2e5s +1wpb +1im2 +1knz +4lq4 +1nbe +1lxj +4fl4 +3h3h +5ftz +1rgx +4n9j +1ryl +3lpx +2e7g +4b7l +3gzi +2bps +1xx6 +1rr7 +4bfm +3vgi +4adz +1apj +2kcd +4qqr +1vf5 +2kaa +2xdj +2yuf +3llk +3rio +2nr7 +2mcz +1xc3 +2zbw +3k0z +4zky +5fpw +1fo1 +2pod +1nj8 +1kpg +3oqi +2bdv +3bq3 +4x6g +5d1k +1sp3 +2l7n +2pg4 +4ur7 +3vok +4jmd +3igf +3pdw +1gtv +3e9n +3gdi +1bg6 +2kig +4is2 +3kbr +2ro0 +5irp +1yj7 +2q7n +1qbj +4dqa +3ihl +1ej2 +3lq6 +1jr7 +2jwg +2kr7 +1ux8 +1kmj +3rkx +2ea3 +1eal +2v73 +2qkm +2eih +2eki +3cnx +2xi9 +4j0e +1eua +1esw +4m88 +2erv +4mk6 +4q0y +1ocx +2wj6 +1c9k +3pnu +2dv6 +3a9z +2e4m +1kz7 +3u2s +2rbc +1eq1 +3qc8 +1xkf +3mn8 +3g79 +1mv3 +1uuz +2yqy +1xg7 +2xhy +2bgw +3zjb +1w2t +3wdq +3ibs +3zpy +4rkc +3i50 +2o2e +3zhn +3h41 +3fya +2hw4 +4bwi +3ugs +1qh5 +1ceu +1jr3 +3vxb +4ild +2xnj +3dlc +2n00 +1mxg +2uuz +4knu +1sen +3ktd +3h8h +2ci8 +1ub9 +1jmx +3uwp +2k16 +3i3g +2pee +4mnn +2fun +1x5f +4q5q +5eb9 +3er6 +1pv0 +4tkc +2ii7 +3hqx +1c3q +2kgo +1l1j +2p97 +4qpr +1jph +1xeq +2mj6 +2cnt +3ir1 +4csq +2q5w +3cs3 +3to7 +1kbv +1nh1 +1x7o +2jw5 +3amj +1taf +4wjg +5ekc +2mr7 +4jf5 +2nqw +3dxr +3vx4 +3dwg +4wp6 +1g43 +3o27 +2f6q +4iul +3wit +1c0t +2f2b +2qv8 +2d9v +4h0c +4gr2 +3d8p +3i8n +3lo7 +2pk3 +1gmi +1u2h +3eoz +1hd5 +3hhw +2jda +1ghh +2vrz +2ffh +2a0b +4hfk +2q7a +2ou5 +4o1h +1jjd +2odf +1pwa +2qw6 +1w5d +1za4 +2v1o +1xx7 +4ntc +1z24 +2gv8 +3e8s +2qlc +1c20 +1j6u +2ge3 +3d54 +3dgp +2f22 +4o8u +3lso +1n02 +3rd5 +1snz +2pk8 +5ib9 +1zhs +3r4v +1qym +4kqc +2dx0 +3awd +1gxc +4r1k +1hk6 +3l9v +1rlm +1hru +2nlu +1jw3 +2a55 +2fd8 +3h49 +1k1g +1j6o +1u2m +3sb4 +2vra +3bp1 +3mud +2kcz +2pid +1jbk +3buu +1lop +3p94 +4dpo +3kq4 +3g8r +2axc +2j43 +1v8b +2y0o +2rae +1q08 +2mhf +3wyr +4bpx +1d7k +1wpu +3nrw +1htm +4agh +2lw6 +4gnr +4kd6 +2iii +1elu +2owa +1x57 +2d8s +1a7m +1i42 +1p7l +3gyt +1d1j +3hk4 +3rm3 +1pp0 +1j6y +2o3a +1auv +1dza +2m4m +2ecz +2xu0 +1dbu +1x3d +1u0b +4nml +1ily +1yrv +1asu +4hu8 +4fhz +2bra +2p14 +1s79 +2qpv +3ct9 +1ny8 +1yac +1qyr +3sol +1je6 +3o7p +3ntv +1pz7 +3uk7 +3vas +1stm +4e2o +5bmo +3dcf +4nek +2mpc +2c0n +2pyy +1hl8 +1yzf +3get +4bjz +2z51 +1im5 +2e55 +3zci +4i6m +1xl3 +2q6k +2wvf +4axs +3oql +1wis +1mzv +2moi +2ovj +2gbs +3cfu +3jyy +1imj +2lw4 +1qqp +4o6y +2l04 +4jwj +3hu5 +3fwz +1zu2 +2ab5 +1ngk +3itf +5lt5 +1gc5 +1nlx +3bkp +2c40 +2qsw +3sum +1ybt +3aag +2dvj +2odx +2lkm +1kcg +2pg3 +2czd +1v6g +1j5x +1bi5 +3q4o +2rem +1ly2 +1p3h +3dtd +5a2q +1faf +3e58 +1bif +1cyw +2pjq +2aqw +2pgc +1ek6 +4g4s +3jq1 +2qtp +2nn5 +1r6x +1sxr +3s6d +4blq +1z6n +1txl +1qwo +16pk +3t5s +1uej +2kqp +4c4o +2yu4 +1j4x +3rwl +2p0t +3bqk +2o8i +3r0o +2bzb +2cz4 +3h35 +1k6y +1ycs +2dzi +1hqz +1p8k +3otv +1zk8 +2jju +2j3h +2l52 +4qa8 +4hwi +3s8i +3rui +2eqo +2pfi +1eer +1obb +3lm2 +2e67 +1yc9 +2v5m +1ib6 +1urv +4tnw +3l9t +1k5d +4gxz +3umg +3iwz +2o5v +3imh +4g59 +4m9u +3jx8 +5idm +3tnu +1syr +1yb0 +3mgj +2ay1 +5huo +4jx0 +2nnw +2yh6 +1ywh +3d7n +2ose +1cjx +4a02 +2dn4 +1svj +3iru +4kvf +4ci2 +3kxe +2zw2 +1f5x +4ovj +3in6 +1qam +2xs6 +4h8w +2g9i +2hng +3peh +2ysm +3ke2 +4c26 +5ewt +1nrj +2rf5 +1qb2 +1sw6 +1gcv +2w1n +2gl5 +3luy +2hmf +1zma +4hpn +3hjl +3gp4 +2pfc +3g5t +1yli +2hgc +2jzk +2a2m +2i4l +5kc5 +3pdi +2lgv +3g7d +2lf0 +2hxo +3f6a +2l9d +1nvt +4mjd +4o3v +2p1a +4uu4 +1elv +5dom +2ogk +2f6s +4ag6 +4ill +2w9y +1qv9 +3fve +3ll7 +3dbg +2prx +2i71 +2j6b +2ip2 +3fhv +4uy9 +1qr4 +4ixo +3ff2 +3fnr +2ghs +3u5w +4c87 +1vmb +1kql +2m3x +3qq2 +2j1d +1jg8 +2gkg +2exu +3iq1 +1hqi +1ljo +2r4i +1yxe +3jur +2qz8 +2ltm +3jrq +3tca +3nkg +1ul4 +2a6m +1s4c +3fiw +1fi8 +3utm +1sef +4bg5 +3hkv +1s7h +1n2b +1a6a +2voz +4adi +3cl3 +1ef4 +5eo4 +3fjy +2nys +1phk +3wl5 +1hz4 +1a8l +4rcw +3p02 +3r6o +2wfg +1zu1 +3p0r +2j1o +3epy +3dyn +2j5o +1xd7 +5e1w +1poi +1rlh +3v6o +1hyw +2ivw +3pmm +2ozt +2wwe +3ip4 +3dte +3b5e +2c61 +3asa +1at9 +2ogx +1wcn +4aqr +1qs1 +2x5d +1a0a +1qgt +1wxq +4cfp +3qgm +5jhe +3rbg +4h0a +4gtn +3hh2 +1k0e +2mgw +4e5n +3vn5 +2dqa +3ck1 +4lvi +1sh8 +2e10 +4g7x +3b9w +1jxm +1cl8 +2kut +1feu +1c4p +3fyf +2gqw +3f5d +5l9s +4xfj +2n56 +4hb9 +2p8j +1o82 +2q5z +3oos +2zf8 +2gia +1z6o +4fd7 +2k3q +2lxe +2yvy +1ucv +3bjq +3fzx +3n6y +2ynz +1h7s +5cht +2ool +2wp8 +3ezl +3klj +1rxq +3igq +4rwz +1w15 +1bqu +4mt4 +2rk9 +4gpv +4nqw +1dbr +3kw0 +4jcy +2ouc +4gkf +2kb3 +2jye +5fcc +3e8x +2ft0 +1ujm +2xze +2pqg +1jth +1fx5 +1hqn +2ahf +1h75 +1ncs +3lw7 +1ng2 +1wfj +1sot +1914 +2y9w +1xgk +3ten +1trl +3zpj +1m7l +3f7c +3l09 +4v2p +1kol +2x9w +1jzu +2q8v +3lqm +4bjq +2wk1 +1um8 +3mqz +2cuw +3gce +4yds +2kla +1x51 +3snx +2cod +3qt2 +1xku +3qel +4f80 +2mkx +2gq0 +4dw4 +1a5j +1o89 +2cr4 +1gt9 +3dc4 +4xae +3lws +3td9 +2dzj +1p5t +1f0n +1msk +2p6v +1rie +3wmq +4k2n +2gqq +2rl8 +2r2z +2mab +3ays +3bdr +2bf3 +4ntd +1wvo +1hlc +2byf +1g71 +3zbh +4bq6 +3h9w +1vyx +4lxq +4w84 +1wih +1ei7 +3n8h +1atz +4bbr +3r72 +3ecm +1a02 +1z9i +1wol +2o2g +3l5a +5hnm +4xsg +4g6t +1jb7 +4em2 +4p4m +5jci +2yxz +1q0p +4h40 +2yc4 +1q16 +3ljb +3djc +3e6m +2ijz +2km1 +3my2 +3kvp +4zeo +3obf +1ywx +2qjv +2fnc +1dzf +4o9g +3no3 +1g8p +2lvh +2edi +2mnt +1lm3 +1m94 +2al3 +1g1i +3fj1 +4k3w +2x7m +4cjx +3gas +1no1 +2rjo +3mo4 +1grx +4qiq +1k7c +2mzq +4xbo +2cfa +2kd0 +2b7e +3wis +2djw +4imm +3fmb +3t7a +3h8v +1azs +1ji0 +3m92 +3i2v +3oo2 +1n4q +2hwj +2kko +3o38 +1upk +4hao +1rhc +3agk +2bmx +3hz7 +1n0z +1orq +2avg +3lup +5ccb +3oox +3uaq +3kp1 +3q0h +1scz +1txo +4f3n +3m7k +2hy5 +1w5s +2dfk +1r69 +1yzh +3fvz +2bzl +1gow +2p8e +3wkm +1aqa +1c9b +1j1t +3c5x +3lke +2hb5 +3dr2 +2lwl +4dm5 +4ann +3e56 +4ian +2kx2 +3wj7 +4heh +3c0t +5tgn +1bsv +2jph +4b6x +1vl5 +2r8b +2rij +3evt +1v5r +4qec +3zux +2eby +3iac +5hsx +2jfn +2fdo +1wit +2kjz +2dix +2o9x +1jdl +2z0z +1tsj +3svt +2kyz +2oq2 +3u7r +1jsg +1nlf +3fxz +3l1n +5k9f +3ppi +2lpe +1yyv +1nqn +2m0b +1x58 +1oey +1ja3 +1y5o +1x4d +5jj6 +1tqx +2zyl +3o26 +1ay9 +4b4o +1e5n +2vt8 +4ei0 +2cul +3tjr +1lh0 +3rez +1u78 +1xu9 +3wuc +3mpo +5hsg +3t6a +2bl0 +2x7i +1dul +1lsl +3evy +3ba3 +3ag7 +3st7 +5lji +1tye +1jlx +2fpd +2mxd +3dpj +4lc3 +2rk0 +3mfn +1dh3 +2dlk +3zij +2g6z +1wlm +4nph +2yhc +4ava +1z0s +3w15 +2bh1 +4mfk +5tx7 +1z5g +2d59 +1sxd +2z0r +3on3 +1ezr +2l57 +3bfq +2kkn +3ius +3hfn +4r9x +3cnl +2g0d +1a8r +2y7l +3nqk +5dcl +3grf +1umh +1vjn +1sb2 +2gpy +5jdj +1iq3 +3qww +2jac +2cjk +1t8r +1akp +3oe3 +4lg3 +2b4v +1xhc +1ni7 +3das +3q6a +4aq4 +2dkf +3p19 +2c5w +4fzx +3vp8 +3tw8 +2dk7 +2m4n +1s7o +2d8y +3wi3 +2edy +2o2x +4beu +2p0e +2nwi +1rkx +3e4w +2igs +5iip +1y1f +3pty +4bj8 +4wp3 +4beh +2zx2 +2ig3 +4c0k +1cnz +2gru +3hxk +3emz +3oaj +1ddg +2mh4 +4m1a +2az4 +2k9m +1nd4 +3gmi +3fg6 +2ys4 +3ct5 +3cfx +2wng +4h1x +3ez0 +3lyr +1xiw +4b6z +3fbk +4kh9 +4nx8 +2ynq +1pie +1f9z +3fk8 +2lah +2vyr +2ci9 +3o2i +1i5n +4xw3 +5gae +1ncn +2cu2 +2oza +2rhc +2b7y +3rsn +2q7b +2ycf +3lw6 +3zpm +2cjj +4bhb +2b81 +4jxt +4ap2 +2h92 +3eyx +1ltb +1vk4 +4lq6 +1m4i +2rvq +1uru +3etv +2i00 +2rs7 +2h5g +2iks +2w18 +2vf9 +3qdr +3ele +1zxu +2z3v +3p12 +1gp8 +1pk1 +1k68 +1zjy +1g2c +2dwc +2dcf +1ue9 +5c5z +2gut +2m83 +1tel +1crn +3rko +4cqi +5tjj +1kwi +3d1c +2wqx +1y7w +3dlu +1whw +1th0 +3qv0 +4rlc +1evl +3k96 +1ojw +1d7b +1k7t +2as0 +4b9i +2v14 +3o66 +1rmg +1ou0 +3hym +1xwd +1jkv +2px0 +4q2s +2egj +1cnv +1dci +2fpo +1pb7 +1gg1 +2nyv +4fx0 +1x6g +4nn3 +2db3 +3f8x +4lps +1v8w +1uhs +3mse +4b5q +4kgm +3bcv +1l5a +1urm +2xtu +3tek +2lp6 +2ffs +2g5f +2vgl +1a7v +4ob9 +3aln +4wec +3llo +2ntk +1ek9 +1kdj +1jyo +2yvs +3u0o +5cml +2r41 +1z7b +1vr4 +4ep8 +2jb9 +3aaf +1o54 +2yvw +1t7v +1h4v +2hzq +1ocs +3ktz +1e5k +4q1t +3miz +1d1n +2f46 +3c4a +3bs3 +4ix9 +1xp3 +3jvf +4pbd +2q22 +4n04 +2r76 +4pbc +3cvo +1zbs +3crj +1sz9 +1ntc +2oc5 +1wia +1yht +4nzp +1e12 +2ztb +5h9c +1r6a +4gb7 +2jvf +3trk +1tzp +3wuz +1jx6 +4ofg +2byo +2v8p +4hn9 +2do7 +3wad +4wy4 +1aoa +2kea +2k4t +2c3v +1wba +4roc +5d4z +4dev +2lbw +3lwa +1hsj +3c5h +1x8y +4jxj +4p53 +3h0l +2e0z +1cfh +3c0i +1wk1 +1ztm +1hlg +2p7h +5duk +3mgx +1xt9 +3ef8 +1wmk +3eod +3c7f +2xl4 +4jja +3zmr +2kz5 +2iu5 +1i4d +3r1k +3o4y +1nw1 +2q9r +3u4t +2gri +2lxh +1jny +1n93 +3eul +3g9r +1miv +3bnv +1svv +4nk4 +4il7 +1lrz +5a3l +3nnt +3es1 +5i7w +3dns +1t6e +2jm3 +3ic4 +1vch +5eri +2fm7 +2j0w +2j6v +2mpv +3gvp +4qla +3bo5 +2d00 +3hko +3psh +5l2l +4hkm +3iuz +2bzg +2mog +2jrm +5dj1 +1h59 +2bj3 +2kyu +3qth +1kbe +2dmz +1v5x +3f5r +1w98 +2cm4 +3iev +3ber +2dyt +1wlh +3b8i +2js9 +1p4t +2gpj +2asf +3lcn +2cqi +1kw3 +3hrp +5u9c +2bln +2gn0 +3lx4 +2pih +5hw3 +3d8b +4blu +4bxo +4dt4 +1xau +1t3j +2ywr +1wos +1m65 +2wic +1txq +2ekl +1svd +4nwz +2v0p +3rku +3unp +3cu5 +5hx0 +1n1f +1w5f +4bwc +3fzg +1nxh +2mjl +1i4n +3k44 +4fei +2nyk +4bza +3q91 +1klx +3tac +1jwj +1bxi +2m4i +3pm6 +2k1a +2lc1 +3hty +1ni3 +2azw +1xb4 +2waa +1zv8 +4f0j +2dbd +3kka +2kic +4a0s +3ctv +4loa +2rh3 +4e3w +5cxd +1hjx +2qde +1rya +4mit +3no7 +3te6 +2a0m +5jmu +1wuo +1a59 +2c5u +1uht +3ihm +3bb7 +4ktw +4h0o +3op1 +1y9b +4bas +2fex +5hyh +2o55 +4oa3 +2d4l +1m1j +1i3p +2iw5 +3hmu +3bqo +3nnr +2kw4 +3aap +3lf9 +3zvq +1xgs +3zfv +1ax8 +4d7y +2ov9 +4g3a +4p0d +3fkk +3ju7 +3qf2 +4qlo +4a3z +2dm2 +1we6 +1j1l +1gve +1lme +3quv +4dep +2wvn +3ci6 +4opm +3qq5 +1h8m +1m5y +2p9r +3bex +1jsx +3ttg +3c9g +2pma +2nwh +2ah5 +2kkx +5ay7 +1dj2 +2hji +4he5 +2cmp +1al0 +2xua +1vkd +3m91 +3u9g +1vfi +2hg7 +2aam +2y9m +1iwm +1i9g +3rby +3hsq +1jn3 +3s84 +1k7h +3ta6 +1iym +2k06 +3h6n +1fg3 +4xpm +1kop +1jbi +3aaw +4g54 +3eay +3s3l +3ljy +2l5p +3fry +1muf +3m4x +4wz0 +2ejb +4hh3 +4qs8 +2erb +3r0v +2znh +3f7x +2q8p +2ve7 +2f1l +1p2f +1jzd +1jhf +1bi9 +2r5s +2g7z +4b4u +2p2e +2bec +3ay3 +3gz1 +4lfh +1vkp +1scj +2own +1yqf +1mug +3flk +4fh3 +1g4d +3gla +1ynf +1oqw +4iu9 +4l8k +3mem +4jf8 +1ed1 +3nis +3hwj +2w9j +5f64 +1cia +2efp +1jx7 +3e4c +3ous +2xrn +3kxy +2e7j +2lc0 +2hf6 +3qbe +2vqe +2ymo +3tuu +1mq4 +1u7n +3ubo +3fe4 +4abm +2p81 +4qgl +1cy5 +1by1 +2oo2 +2pro +3iq0 +1fjm +2zpn +3a8p +1nlw +2e2a +3otg +1t57 +1oqk +2qyo +4ccj +3g98 +2oar +1lg7 +3hhj +1a19 +3v8b +3rv0 +1irq +2wg3 +2lg1 +1k1z +4bjh +4fm4 +3qw9 +3h14 +3hrg +1l1s +2q30 +4euu +3u0j +3lqy +3pzj +3fdh +2xlp +3ikw +1m06 +1usg +3zdo +1gq6 +3grn +2d8m +2juo +1p8a +3tp4 +3ztg +4p29 +3skv +1rtu +4yzr +3oe7 +1hvv +1rp0 +3zhi +3c26 +1b22 +1id2 +3feh +2ebk +4o65 +2qe8 +4ghj +2vcn +1l9a +4o1s +3ga7 +2f6r +1up4 +1v4v +4f07 +2i3b +4pdy +3lmc +3c19 +3ntn +2wdo +2pbz +3di1 +1zvw +2zag +2jox +4jde +4kdw +4evu +1dbf +2z8f +3o4x +1z6i +2diw +1pp8 +2xu7 +2y3v +2kzc +2ilr +4gq1 +2cve +2cw5 +2ets +5a62 +3knw +3zf8 +2z16 +1a5t +1jg5 +2huh +2gex +1fgs +3vfc +2iie +3bzw +2m45 +4c0d +3k94 +2b9s +2k4j +2cs3 +1wep +2vq9 +3d03 +1gy8 +3mzo +2ld4 +4tw1 +2jan +1ya0 +2byk +2jmk +3eaf +1nct +4mhl +1wgq +4got +3e98 +3e07 +5hqj +1k6d +2jgq +1bh3 +1z2a +2dx6 +1wtu +3sgh +1ve5 +1wd6 +5eov +2i62 +3k5w +5kin +1mr7 +3iwa +2qvo +1vph +2q4a +3a9i +3m9l +3reg +2pn0 +1he1 +3ceb +2i87 +1baj +3klx +2dy3 +3dx5 +2cou +2v5w +1jqv +3fys +4p78 +2v7k +5ajt +4jox +4r03 +4unf +1w9c +1s5u +2lpn +1x61 +1gh8 +1na6 +3nx3 +1f35 +4eqq +4axz +2el7 +5hl8 +3pwz +2avp +2jpc +3wqc +2ctk +2do8 +5tgf +4biv +1kon +1x79 +3vld +2dk4 +4nq3 +2k7i +3hn2 +1tjc +2f6i +3up9 +3kyz +1wki +1cnt +4gc1 +1s1e +3g36 +3es6 +4lg9 +2eap +3k3p +2rpb +2k37 +3no0 +4gm2 +1o4y +2a1r +1lm4 +3gee +1ynb +1j0g +5u4q +1lc5 +4p0t +1llp +4boq +1cun +2qf9 +1m5z +2d9w +1dz3 +3krn +3ebw +4neq +4yk8 +1fx0 +4ezg +1ukx +3g9g +1e91 +2n3e +1hyk +2dg0 +1ru4 +1so2 +2pmq +1mp1 +1um1 +4kwh +5for +3hmz +2mc8 +3fac +5fq4 +5czr +3vwb +4r80 +4e84 +3kuv +1lj8 +2x2z +1gz5 +1ywu +1otv +3og5 +2fsu +2qw5 +1kmx +2ell +3sft +2npl +1hez +2jxo +3mqg +3oss +2anu +1jvr +2x9a +4rwe +5lbh +2ksw +1hhn +2xmz +2dj0 +4fuv +4fd5 +3mhd +1s2k +1w3b +1a7g +1jj7 +1fuw +3var +2ol5 +2pso +5bo7 +5az0 +2cwq +1hye +2b3h +1w66 +1z1d +2ba3 +3clk +1q90 +5acf +1g4f +2dk8 +3nk4 +2ejs +1ydl +3rp6 +3bjd +4jb3 +1koh +3ju2 +4my0 +3vqf +2fbm +2yu2 +2vqm +1mdo +4ipa +3cnr +3jck +4hzd +2pz9 +5b3p +3rxz +2cqk +3td7 +5k8m +1lbu +2d9r +2gf4 +3is5 +1tif +2dpw +1ypo +1u4c +2ipx +1y8g +1eq6 +5tt0 +3sip +4x8i +2px7 +4bso +3b2n +2qva +2ltf +3e1u +4d0q +1z3e +4i8o +1t8t +2i6e +1bus +1hky +1a2f +2j16 +1u02 +1y0n +4p52 +1a57 +2lio +2qjl +2jpe +3l20 +2jwy +2wgl +3gd0 +1r8n +4hs5 +1wot +4jvu +1wp1 +3gvx +5a67 +2e2w +1eo0 +4rgb +4ose +2dvt +1mda +2f6k +1s2x +1afi +1d4b +2np2 +4kvm +2m0p +3oo8 +4i4k +1zcj +1d2d +3ibp +2dgw +1wcr +3h5a +2ip4 +4k59 +2h36 +4jhy +3n71 +2abo +3up8 +3nf2 +1h30 +2rno +2h7b +3on1 +2obl +2edn +4oiy +5j98 +3mk7 +3ed5 +2jmr +1tvi +2g30 +1lqv +5cq8 +2yrv +1u96 +2grj +1nio +3e8t +3inp +2qmm +1npd +1fp4 +3x2x +1v58 +2vqp +1xm8 +4uzg +2jjn +3dhp +2g2x +3dv8 +1fob +3tsn +4g5a +2fnj +2a7o +4idh +4zj9 +2va0 +4iil +2cpc +4lmo +1h6u +4mjk +3jys +4nn2 +2cmr +4lw8 +4f8l +1wq8 +2his +1xtt +3bey +1l0o +3q0x +1xi3 +1d02 +5cvm +1s3a +1jm1 +3vp7 +1sqp +2hps +2jrr +4k3z +3nyj +1c02 +1srq +3hct +3m1y +1dm0 +2gdz +2kb9 +4ab7 +3bt7 +3df6 +2hyt +4q05 +1tit +2vm9 +3ld2 +1uvg +2vcy +1a7e +2qnk +2d3o +2yrn +1bn6 +4i1s +2goy +3nqx +1v1h +2key +2jov +2f2u +1v66 +2g7j +1dev +1ar7 +2g0b +3ldg +2c4n +3thi +1qhl +3suz +1vzy +1x99 +1rhi +1vff +2j4j +2mj7 +3b7h +1a1i +3obw +3h4s +5b08 +1g2b +1mzh +4itq +1f2d +4rct +2p6n +2yuh +3ij3 +3kwr +1ry9 +4y5t +3icy +4nqf +2e5e +4lw2 +2og4 +4rpf +2o35 +2hzb +3oa3 +1oxk +2qsq +3w8h +4r42 +4uww +1f0k +1us4 +2rcz +3ko2 +4x9m +4e6x +2nsc +4lna +2nwu +1pqx +2ogi +4ua8 +5e50 +1wfx +2k6h +2ibo +2gb7 +2cly +1bev +1gk6 +2e5a +2l3t +4g41 +4gd5 +1wwi +1tue +4b7y +2p3w +1kgs +3i18 +2cua +1uzx +2g7s +3ehf +3bxw +2nyi +3clh +16vp +2ko6 +2vrn +2acm +4evf +3cg4 +4uap +3ld6 +4mmn +3k2l +2fe3 +1h72 +1vra +1ykk +1xiz +3f4r +2g5x +4ilu +2i6j +3u65 +3ctp +1sbx +4hse +1mk4 +2wra +3wi9 +3mah +3k50 +3emi +4rdl +1pu6 +1nnf +4oh7 +4obi +2z15 +3f2g +1y0b +2mlg +4ys2 +2qww +2pt7 +5ll6 +2deo +3c8i +4xxh +4b6d +1y66 +2ypj +2ghp +2qul +5iu1 +1vz0 +3woz +1fpz +1a8d +2qm0 +2pnl +2uy6 +2yua +1s12 +3v33 +2kkp +1wkt +1qg8 +2fbk +1lxl +1ykg +3lo3 +3pfm +4aih +1na8 +5tnv +2jxu +2a9u +2l3u +4hvz +1h4x +4cr6 +2w3s +1vet +4bth +1v9d +1aml +4iuy +2ofh +4mqv +3krb +4pe3 +2d2e +3vg8 +1eq2 +2ph7 +2x2u +5dfw +1jtm +1rm6 +3oa4 +2j0a +1x4x +1zbm +3t6o +2w2j +2c2x +3fm8 +1kut +2bbw +4gc8 +2qqz +4c1b +5dan +1jwo +3lyd +3lvm +3cym +3dwo +4eog +3jx9 +2qrd +4whi +3d4i +1yk3 +2rov +3lf2 +1ffv +1wv8 +3rhf +1r4g +1b0n +4fwv +1ha8 +4y4q +2k9a +2kru +1s9c +5gtq +1uv7 +2hrv +1o59 +1hh8 +4iop +1fm2 +1vh7 +4npx +2uur +1oq4 +5ix8 +1q1v +2lf3 +3qqy +3o8e +1qgk +2scp +1whx +2ftr +3el6 +1r9w +3cr3 +3nyc +4mmo +2wtm +2oya +2x4j +3b2e +1otr +2d5c +1y0k +3mvu +4e1o +4p5n +3hg7 +4fsh +2yrz +3ksu +3pjx +2jah +1o5u +2w3x +2doa +3ffv +2bd0 +3a43 +5eiq +3hyi +4ysx +2p01 +3u49 +2d9b +3vpz +3e6s +3if4 +2jk1 +3rri +2k1o +2ihm +4msv +2g9g +2kl1 +2ich +3odp +3pl1 +4xpk +4rk6 +1v96 +3iug +1f89 +1vpx +1zv1 +3ddc +2fyz +3c0n +3pu5 +1c1k +4y7u +4gkl +4trr +5jsz +4akv +4bg8 +3fkj +3t9y +1z7l +4nyq +3gju +4wnf +1yyc +4c8b +3qau +1j8b +3dzv +4g1l +4gyt +1v3f +4hl6 +3ndr +4ht1 +3goc +3vyl +4hs2 +1wys +4igb +1aly +2dsk +2ym9 +1nko +1jpy +2loj +2i52 +2lck +3qsz +1pqz +3cb0 +3rbh +2bo4 +3qug +2k0n +3pu9 +4dcc +1xfj +4mb7 +3if8 +1boo +1wgp +2ppt +1i2m +2ig8 +4jlr +3ksm +1auo +2l3l +1ny5 +4kt7 +1oj4 +4kkp +2lfr +3gwl +3quf +2hy1 +3q34 +2vwi +3mtk +2x5r +1szn +3rmq +1n91 +4r7r +3fw8 +2w9x +4gqz +1t17 +3h7h +1o63 +4n4r +1c7n +1wi8 +3es5 +5f8v +3ma5 +1veg +4maq +2pp6 +1nl1 +3m1t +1ztc +3io5 +1v2y +4u7l +2d5r +2c9a +2o20 +3bm7 +1q5x +2pjd +2dad +1kzy +4bdx +1hqv +2btw +5b1r +3og6 +1is8 +3grh +1nb8 +1wl8 +2gbm +2cw9 +3d9h +1uzl +1jw9 +2kvu +1wjz +3a76 +3knv +3fpw +3itj +2mrl +2llz +2p62 +2xit +1x4h +3hpe +3qpi +1yhl +1mij +2x4f +4pwu +1dzu +4qji +3k62 +2zew +3tqf +3ww3 +2wue +4i79 +1f32 +5d1r +3a9f +3dnf +4efz +1g5h +4mtm +1w18 +1ufm +2r3s +1uh9 +2dcn +3o0d +4b29 +1bgv +4knc +3ic6 +3cc1 +2vsg +2cr6 +1e5r +2vve +4xxf +2x7f +1f7e +1uz3 +1knv +3nv0 +3l77 +1vpu +1nmp +1uoy +1uj4 +2kfw +3doa +2fcw +1etk +2pc1 +1dv0 +3tgh +4wny +3b0c +1jgs +4qpw +2wnv +3ups +1r4v +2lxx +4n30 +3sk9 +2iee +4p6v +2xt3 +2wsa +2q1m +1ybe +2ey4 +2oee +2ruh +3f8m +3lm7 +3i6d +4iau +2yus +2gsh +1ujc +3m0d +4nkh +1zru +2g1u +4ca9 +2lef +4i6j +4lfg +2hzg +3sny +4e2q +3zib +1nrv +1kyo +1p90 +3q48 +3fvw +1g4w +1ezv +4ztk +1j77 +5fl3 +5cgz +2j6x +3lpm +4ifa +2lsm +1vkb +4ytl +2rji +2fb0 +1l9g +1yx0 +2rqt +1vj2 +1iqq +3kn6 +2ch7 +1zee +1wid +2pdo +1fnf +1azo +2ys9 +1wsc +5fub +4is7 +1a76 +3zsu +3ha9 +1j26 +2aa4 +3sng +3hiy +3k69 +1c6v +2exx +2mlk +4jz6 +2o8s +1kij +1h3e +4ic6 +2agm +1w24 +1jeo +2uvp +1ynp +1mfn +1v5u +1y97 +2bas +1nh2 +1u5h +3cgx +1ugj +4fw1 +4r7e +1s4k +4akt +1xpj +3bjo +2c5q +2z8i +5aiu +2im5 +1b8g +3tur +2bs2 +2ewl +3ram +2b0c +3iib +3i3v +1hdi +4h3w +2nly +1f3h +2jop +3kto +4by3 +2f9j +3nm6 +1jcu +4bi3 +2wsi +3ty1 +3gpi +2xkl +1ble +1h0m +2qqy +2pyg +3e70 +3dsh +3u6y +3b57 +2lyd +4hwn +2dme +3cit +1coz +2wqt +4h17 +3mh9 +4uul +4lvn +1mc0 +2gml +3maz +2xiv +3sqd +2mez +3g23 +2i1q +1ghc +4ic5 +4y0e +2wvi +2e6i +1sg4 +4u9r +3gru +3aty +2zyo +2wny +1lsu +2cq4 +2erx +1kyt +1yx2 +5hk0 +1ugi +4fnw +3d8k +1j4a +1b78 +4i5l +1bm9 +3zih +1kor +1zyo +4ei7 +1rc6 +4me9 +4pyr +4lpl +3c6v +5gmd +2ger +5ilg +1lm5 +1hmv +2fpr +5m0t +1dkq +3vy8 +3hsi +2lo3 +1gwk +3bpt +1f2v +4ds2 +2h9a +2eth +3ejn +1je3 +2z7b +3m7a +1z2m +2odk +1bak +1u2k +1fvq +1pwk +2bsk +2rck +1xip +4r2f +3tui +1zlp +1yw6 +2boo +2hi1 +1twy +1tjo +1gv9 +3hcz +1g61 +3zj0 +5e0y +1f8v +2km6 +2qf0 +1bgc +3v67 +2jx2 +1dk7 +2wje +1ji8 +2hc8 +1bgp +3pfi +1itx +2iv7 +4r9i +4azm +1o5h +1rpy +4qc6 +1d66 +2kng +3kdq +3brq +1yxm +2gzo +1imu +3g3o +3f4w +3ab8 +4uej +2jfz +1wvn +4uf1 +4mt8 +3eip +2f07 +2dnl +3zh9 +2ayz +1wpi +1ao0 +3noj +3l4a +3rqb +2oay +4xcx +2z1u +4dhx +1u0t +5k7f +4krt +1jer +1vdr +2c2u +1j9a +1sdd +4pgg +1ohe +2es9 +1x52 +3ayv +2jc5 +2xjy +1a66 +4ehs +2y24 +2df7 +2l92 +3bre +3juw +4rkr +4bgv +1w8i +3oqc +4ci1 +1u0k +3n3u +1k38 +2abj +1ds8 +3nxa +3tbo +2v79 +4n6t +1yvj +3e1h +4jbg +1knw +2o6q +1b1c +1gqg +3kl9 +1zxq +3dxv +4ofd +1i74 +2nra +1ey2 +4f67 +2woz +3m66 +4yba +2ce0 +3mek +1e40 +2auw +2ghf +4g84 +1hfx +2oge +2fq4 +4wzz +1kaf +1lm8 +4s1h +4c5w +1wuz +1foa +3k7e +3ijl +3e0f +1zr9 +3pnx +1xtz +3fh1 +2kmm +3cwr +1fxk +1cyy +5cee +1sou +1f0j +1jql +4ff5 +2hlz +2dit +2f86 +3cvj +3cer +4ijr +1tqp +1v2b +3fj5 +2d3y +4q88 +2bng +2kl7 +3npf +2hpu +1b30 +2i8d +2af0 +1lgy +3aw9 +1aaz +4r6y +2vvp +1wiv +4j3c +2kr1 +4lim +1viz +2m1u +2r40 +3ndn +4jvs +3cw3 +2yqg +4a3q +3kw8 +2kc7 +1x9z +5hk8 +3qsg +5a3v +4e2a +4brc +1san +3hdc +2mlb +3cdx +3a52 +4dwp +1waz +4k2h +1g0s +3ig4 +3b7y +3q2u +2la4 +2kui +4uqx +4cbe +2xwt +4nt1 +1ldd +1b33 +3i7a +2b30 +1exz +3ncv +2kkc +2hd9 +2o5h +4wby +2m46 +4hka +2mr9 +2wtk +1ijy +1w9z +1ep3 +5f44 +3u07 +4aog +1b89 +2vtc +1b1e +2fnu +3jb8 +1a4a +3fjs +2xfm +2dst +2fdr +1a17 +1xmt +2csu +3uno +1ete +1dj8 +2wh5 +1dk8 +3mmz +1nyn +4gkp +1wgb +3ky8 +3vse +2myg +1k75 +4tpo +1x05 +4jyl +1ojh +1an9 +2dax +1r44 +2lbt +2yxh +3kzv +5tea +1ezw +3kfw +2htj +2p22 +1e88 +1xdi +4esy +1zxz +3lop +2ps2 +1k9u +3fju +4r5z +1j8h +3sqn +2bwf +2yww +3cje +2inb +3ii6 +4lx3 +1y60 +1b4u +1wxv +1fpw +4cc9 +3lyh +3bdw +2z73 +4m37 +3hx8 +1lfa +3n53 +4jlx +3m1m +1dcf +3eab +3i0z +2j9q +1khy +3nqz +2zay +3irz +2ldk +4n6j +1g1b +1s62 +1iom +3b5n +3bpv +4fom +1vmf +3k9i +1wd3 +1uuj +4grf +2jll +2jtk +2k4r +3u1v +1lr0 +1fth +3w5x +5gmk +4f8b +1div +2ph1 +3gk5 +1aq0 +2or7 +1id3 +3w6s +2hga +1iuh +4b8e +2qvp +1yb4 +1unn +1vmo +2wyr +3cng +4l1d +3mkc +2dg7 +1lln +2zf3 +2l5a +2rff +1sjy +3css +2r39 +4n7r +3vqi +2nyc +1pf5 +1a3z +3lzw +3x44 +5dae +2ce7 +3l86 +3esi +5j60 +2r17 +2j1v +4fe7 +4dk4 +2eix +1pw4 +4ms4 +3t6k +1i8n +3gem +1ur4 +4hd1 +3nbm +1f1u +3kjx +3d40 +2q2e +1g57 +5jla +1xhf +2ynm +3f40 +1whl +2zfu +1f6y +5t3w +3ahp +1t3b +3l6u +3kgl +1jfu +1fd3 +3m6j +2fao +1w1w +1h3o +2o16 +1cc8 +5ih3 +3npk +2lq6 +1b5l +3h2s +4f2m +2an1 +3rfw +3k9g +4irf +4z7a +2qng +3r6h +1nb2 +3t6g +1aa7 +2h3g +2zxd +2lqg +2vx3 +3r3t +3cdd +1wp0 +2ipq +3u9l +3gyw +2c53 +5l4l +3ht5 +2r6h +2bg9 +1gmn +3bz5 +2wiy +2uux +1l1p +4g6v +3dxl +5c54 +1hzd +2mzj +4u7b +3qkw +4urq +3cpx +1z87 +3ezu +3a1y +2aj0 +4fff +4gs5 +3ssm +1aqi +4dz6 +2mn4 +3l8u +4l9y +3d4e +1x4o +1mhn +2ddm +2sas +3fht +1hku +3a2a +2m13 +2rdc +4fr4 +1j3j +4l68 +2okc +1got +5dko +1j5u +3r4q +4dcz +2ens +3nwo +1hnu +4ott +2m7g +2mhs +1dny +2eui +2fgc +4xjc +1w63 +2cph +2j5v +1aq5 +2w96 +2ebb +2lfe +3be6 +3ha2 +3lys +2ef8 +4ldu +2vuw +3vna +2i82 +1ehs +3ic3 +4gi2 +4ano +3owv +1qzm +2ozg +3kre +2gwl +1uyp +5tpm +3ezh +5je8 +4mlg +2onk +4hqe +1eak +3uam +4n4n +4xpz +1s1n +1tvm +4e9a +4clc +3mt1 +1r55 +2d2m +4xfw +2okq +2orp +3piw +3cex +2eod +3amc +2lxr +4hpp +3qf3 +3sxl +3msx +1rj9 +1wqs +1dty +1rz4 +3t4x +2xok +3ml3 +1iq4 +3ty2 +2k2p +1a0g +5aoz +1j3e +3v7i +3qoq +1opk +4b15 +4i2o +1r9c +1yav +2pbi +1qo0 +1wjo +1pv9 +3rf7 +1p3c +5hb5 +4yvd +4kig +3t15 +2wnh +2qyf +1q8b +2k9s +1mmu +3raz +4dyv +5dn6 +2cb9 +1gd8 +1rlj +3sjq +1kgd +4e9k +1ft8 +2wn5 +2k0r +1j8r +2gzv +2gsb +2mr5 +1rfe +2v9v +3o0z +3eoq +1h5z +2x4l +2lae +1jrr +3g0o +1k2x +3c7t +1zvn +1sko +1w25 +4kqt +1ywy +3bs5 +3u28 +2ozv +3rsi +4w8b +1l8s +1uhp +1nsl +2mhe +1hy9 +2kjr +1bi6 +1fps +3zyp +3jy6 +2p0n +1p8d +1yw0 +1q7e +3fi7 +3mp2 +4py6 +1jfv +4acv +2kku +4z1x +2avx +2drh +3g4e +1cvs +2dmg +5c98 +1qun +3gt7 +4nx1 +2b1x +5abx +2egk +3dtn +2p8t +2zah +2lv2 +3vib +1wp5 +2oik +1ymm +4jvc +1e2y +2x8n +1v29 +1y0h +1f08 +1wz3 +2klb +3v10 +1vb3 +3tbn +3ff7 +3i9w +3ru6 +1o6v +1ybf +1f8f +4kma +2lts +1luc +4pga +1i0r +2qvg +1hwt +3axs +3kea +2dkm +2d96 +2ehb +4d3z +1kpt +1lhp +4wut +4tq1 +3mwf +1zvf +2db9 +4equ +1fc4 +1cl1 +1sgm +1yt3 +4gvp +4rpc +3r4r +2f5k +3kkg +2mkc +2o70 +3u2a +3ed3 +1vbi +3vdj +2cqp +4gc0 +3cjy +1b4t +2apn +2hk2 +4tvv +2xy1 +2cf4 +3hh8 +2p58 +3g80 +2ib0 +2bmj +2dr1 +2lqt +4wu0 +4u7i +3mlq +3fij +1bp1 +2a8e +3c4r +2dce +3km5 +2fia +2e8b +3qqn +2zet +3ts9 +1x4u +2yva +3qd2 +3onq +4nlb +3lod +1eh7 +1ifp +1why +2x0k +1a21 +1euh +1btk +1vke +3a8r +3bjr +1sjw +1cf4 +2rt6 +4qpg +3onp +4h8a +2b0o +4j7z +4gkb +5ahr +2m63 +4mup +2eqj +3ol4 +2dou +2nsf +3m84 +3a98 +1p2x +3g2m +1ysr +1ef1 +4ert +1o8r +1a9n +1dmu +3s0a +1cmo +2cyc +3o1i +3ub0 +1m12 +5hno +3pxx +2k89 +3eaa +1wyh +4y9d +3l12 +2mdi +3g27 +1kj6 +3rjo +3hcw +1ioj +2m72 +1ipa +2l6o +3l11 +3g1n +1mkc +2q0x +1y9l +3db5 +2xf4 +3g67 +1i07 +1dkx +1ee8 +4ig1 +3eup +2xqn +2e4q +2x5o +2ef1 +1avo +1r0d +2bo3 +3pgv +2wv3 +4gi5 +5m0n +2ebo +1hxv +5gqs +4wp2 +3ehe +1y7e +4p1e +1zjj +2f1e +1zq7 +1xxm +1wh5 +2ode +1shs +3vtx +5din +1m6u +3gf6 +4fmw +1pcp +4oyv +3egy +1e0g +2lus +3o8j +4bhq +2nz2 +4l7a +2znr +1xjh +2cxk +2oyr +1t7s +4guc +1u6m +3kxv +2v43 +3bwl +2xid +1i2t +3qml +2ec1 +2xmo +2vs7 +4d9g +1k82 +4um7 +2m9u +2e5j +1m3u +1kia +1l7a +1zjk +2vsp +3bvp +5cca +2hpv +3ecf +4b8x +2f1c +4nk2 +4jgj +2x3a +1bed +5bu6 +2x9q +1kmm +3hju +1o91 +2oog +2h6u +2rfr +2oo3 +1i39 +1ozj +3hdu +3gdw +2efe +3kew +1yz4 +1q5q +4hhx +1ofc +3r3u +1ois +2gan +1ywf +4r81 +2lsn +1wa9 +4amm +3tmp +3nwn +3ix1 +2bap +1lpa +3hmf +1jy5 +1fp0 +2kg4 +2x5p +1oz9 +1cdz +1wls +1dqw +3lay +4u72 +2pd1 +4h2u +3hk0 +1r26 +5kku +2kq9 +1sff +3qeq +3hsh +2fau +1w6u +3o39 +4wfa +1yud +2gzb +1a04 +3he1 +3ws7 +3n9u +2j5b +3hv0 +3ax6 +2pd2 +2o34 +4o1j +2vli +2v1y +1hm7 +4wsq +2kdc +3c8l +3i8o +4mhg +2sfa +2ziu +3mx7 +2jve +2atr +4jgs +4fch +2rtt +2ob9 +2i9w +3fbu +3rkr +2cvh +3hm0 +5c0y +2bk8 +1nxi +3g8w +3ffy +2y8n +2x9l +4pvk +1x4z +1lkf +2owp +3b4y +2zb9 +1d7a +4olo +1kqf +3by4 +1tjy +2gfu +3gni +3rob +1k7k +1vib +2c7r +1x42 +4a64 +1dp4 +2di7 +2ju1 +1x3c +1xwy +1sj5 +3s8s +3vla +3nyt +3fgb +1yh2 +4oi4 +2f1v +2ixd +1i6i +1osn +4ffu +1q1h +1vp2 +1h0z +4qpi +1lfp +2kna +1a0k +1ifq +3ddj +2eje +2l9m +1tk1 +1w8a +3s5z +4q7q +2n50 +1wmg +2rm4 +4chm +3jty +1ud2 +2dk5 +2lxi +1n6z +5dzs +4hte +3if9 +1rkp +3vaa +3ff4 +1zym +2v3j +2x3n +2kwh +3ce8 +2ooi +3hul +5lsm +1su1 +1z05 +1aj4 +2ppy +1a1a +3b7b +1tvs +3as5 +1iz0 +2czo +3r4c +3i1i +2lvw +1mgt +2jok +2f9f +3au3 +1n7e +3h6x +2buj +4hv0 +4jfh +3kmh +1agg +1whr +1lb3 +3l0a +1q3k +2ia4 +3n00 +2ani +4qhz +4n9w +2gfn +3kiz +3ost +2m74 +1t5j +2jra +1i8d +1v30 +2ond +4pcw +2y1s +1xcj +2knq +1p77 +3hgk +1xtf +1uyj +1ytl +4dw0 +3lwc +1v62 +5hpf +4q3l +4if8 +4ckm +1jt6 +2vdx +1twd +1s28 +3b4v +2iy9 +2hmc +4w82 +4c1s +1w1h +2dat +3shs +3eph +1kjw +3d82 +3i0p +1gmx +1omv +2eh3 +3epz +3zq7 +1r57 +2xg8 +2nr9 +4ph8 +1ii7 +3ivf +3uif +2ldy +3uh0 +1ofu +5hc8 +4ack +2vd3 +3zle +2q5c +1wt6 +2i4k +1svu +1srz +4b8v +1aop +2b3z +2kk2 +4lhs +1jyh +1hh5 +2odl +2enq +1r0s +2h2t +1b8q +1bow +4gdx +4ol9 +3wql +4hi0 +2v0n +1dvg +1g3n +1tk7 +1ifw +1bl0 +3oo6 +1no5 +1cyd +1x7f +1jji +1dkg +4inz +2bon +5a1n +1q0g +5egh +2dl9 +1igq +5daw +3abf +1xwi +5c40 +3r2u +1r12 +2w9u +2dx7 +4l9b +1bz4 +4owz +2rbk +1xfi +1c01 +3gbv +1mi8 +3lcm +3c02 +2ve3 +4hdj +1wfn +1gyv +2d9x +1n4a +1wic +1d9y +2p1z +3bro +3e0z +1vjg +3i7j +2php +2ri0 +2dm4 +3c8v +3bqt +1atg +4nf0 +4kzp +4wcj +3ooo +2wax +3fgn +2dhm +2w2s +4chj +3i57 +1cc1 +5ce8 +1nar +1kvd +4aaj +1to6 +2iyb +3hut +2hih +4i1m +1b64 +1lxn +3bgh +4kc3 +1cid +3lst +3tqn +3dax +1w5e +4ipu +3ceq +2ky6 +1nrw +1tnr +3fhk +2h9f +3c12 +2a72 +1cvz +4l1g +2xbu +3rx9 +3enp +1yqh +2zu0 +4frt +1apy +2zpm +2xcz +4wqo +1poc +2row +2ohw +2lcj +1nyc +1iuq +3i6v +2fk4 +3rf2 +1ah2 +1ln0 +3wec +3wa1 +2dja +2om6 +1kg2 +1emo +4hdt +2r98 +3lk5 +4dmg +1apm +2yc2 +1tg0 +2zq5 +4tps +2r18 +2v9s +2ch0 +1af0 +3pim +1ppr +3c4b +1wvv +2hk0 +1aam +2e6z +1yfb +4n21 +1xn7 +3btx +1m70 +3vop +2kdy +3czc +4q8g +5cem +1au7 +3i08 +1pju +3alu +5f3b +1xhd +3qz4 +2caz +3ejj +1bxg +1gw1 +2ljp +4esj +4fc7 +2gxa +1sbq +4gr4 +1zbh +2mbg +2ltj +4a5u +2p0l +3lyc +1ibc +1okr +1d2o +3sd2 +5k8j +2xk0 +1cmv +3p34 +2jzc +4wy5 +2nzx +2jjs +1t72 +3kfv +2ogw +1i3o +2kd1 +1xjc +1mg5 +2jvu +1kcv +2wpw +3kae +1a3p +4mf9 +1cb0 +4bb7 +2b0a +3dh0 +4h03 +3v3k +2ecu +1sig +4bjy +1f14 +1kq1 +1j5y +2m1m +1aug +5j7d +3lm5 +2ahy +1tiz +4cck +3mf1 +3ut4 +4u3q +3mzv +5d77 +3fz5 +2yjk +2l8k +1i16 +4ga4 +1w2l +2dir +4lqk +3p09 +1bh5 +4ftd +2ec4 +1bwp +2dmw +3cg0 +2e5g +1jkw +3zs3 +1a6s +3g5w +4rs8 +2b5i +1mum +1jkx +1d0c +1urf +1rer +3eqe +3e03 +3msy +2gff +1b12 +1cxz +1wgs +1dps +2i9y +1ye9 +2b8t +3dg3 +2d0o +1wky +3mtu +3djd +1u34 +3f2i +3ktn +1ay2 +4pu7 +1dob +1m56 +3bt5 +3aay +2kgj +4us5 +2idx +1u1v +1h99 +1r0v +4x5m +1gpq +1pzr +1sg7 +3siq +4did +4c81 +2bvb +1b6s +2ws9 +2j8z +1iv0 +1d8w +1ors +1hyr +3g0k +3oaa +2l6x +3gmo +2hn1 +1dgw +4mbr +3mj6 +1x5a +2f5j +4f3j +1lf7 +4nxt +1afw +4m8d +3kya +2cws +3v9p +1rz3 +3h7f +5evh +1xte +4ky3 +5cfj +4ux7 +1m62 +2vx7 +3shg +2iay +3egr +1ufo +1vdl +4dzz +4lrj +2mbf +2fi1 +2oeb +1rh9 +2lnd +1xqa +2o0y +2j3w +2h6e +2m7o +3lnl +1b08 +2ki2 +3iu5 +2gm3 +4mj3 +2hjg +1wyn +2qx2 +1s3l +4z48 +1dyo +1tuj +2yev +1wee +1a53 +1d2z +4l07 +4w9r +2hwt +4jle +2zhg +2qu8 +3wsc +4efi +1ws6 +4hvl +3oc5 +4ku4 +1vrm +2kyw +1o88 +3itq +1j7d +1zke +2qjj +3pw3 +2ras +4tqu +3hr7 +1qbe +4j6f +1qdp +2jl1 +1afb +2ebj +3h4c +3f2v +5hn3 +3ec9 +1r7l +3dxo +2fe0 +2pgw +1kq3 +4dxa +4pxd +4mkm +3ds8 +2v5g +3d2m +2hdw +2a1j +3nkl +2jj6 +2jd3 +2nwq +4p6q +1bq5 +2ux6 +2hl7 +1p6p +3erb +2dpn +1t8o +4jg5 +3caw +4inn +1q67 +1fu0 +5hqg +2a2j +1ybz +2flb +4zv9 +4ba8 +3erw +2b3t +1uhv +3qik +3v53 +3ewk +1ta9 +2oqb +2o8q +3rwr +1e6u +2iru +3s55 +2f6u +3tr3 +2hq7 +2ktm +2m4h +1m93 +2fhz +2kuq +4k22 +1cv8 +1nc7 +4nkw +4hw8 +2rh8 +4mud +1u77 +2pyb +2yor +3csw +1tlj +4i4c +3emu +3h8z +1eg3 +3l7y +1jzn +4csd +1xnf +4dgw +2lmz +2d9e +2k18 +2vat +1t6n +2vck +1yoc +3bwy +2ocz +2gqc +3ff5 +5jd5 +1yke +2zix +1vjw +1hnf +2la8 +2y3m +3dci +3gyg +1pea +3p9a +1b37 +4iuh +3rqw +3mep +4om8 +1c8o +1cmx +2jmh +2vdf +2ixn +1pby +2wz9 +1d2k +1u9j +2czt +1ivy +2a7y +2xw7 +5fig +5c3u +3a8j +2l9w +1y7p +1zoy +4xxl +3b0p +1pul +4g80 +4mph +2bsq +1wju +1g3q +3ubh +2d05 +4kp1 +2kpt +1ho8 +3soj +1zyb +4n1v +1zzp +2zfz +2rdm +1xxa +2d46 +3dme +1ad1 +3o14 +4bj1 +2i53 +1jmt +4kg8 +1vm0 +1xv5 +1k3x +4kkm +1scm +1b0b +2vt1 +3d3o +2guj +4qjb +2w0t +2l8a +3wic +3aih +4rd7 +1xpp +2ovr +2pww +1wy8 +2fel +1p1l +1vr8 +1x9x +1lnw +132l +1mxi +3qfh +1l2p +4h2w +4bou +1y9q +2nrj +1t3u +3fut +1z0p +2j7v +2k9q +3ho7 +2m7z +4nq0 +4i92 +1iow +1avy +3b0z +3d19 +1v5p +3aka +1q8d +5c3m +3tmg +2yo0 +2mra +3q2e +3wuy +1ixd +3mmy +4bmj +5fdy +3q7r +3l0z +1ul1 +2i9x +4y9t +1kjz +1ryp +3wsf +2dl0 +2wwx +3jtw +2yrl +2cwz +2kae +3ke3 +2hf8 +4mo1 +2re9 +2ihx +4rz0 +1bpr +3l4h +2cs0 +2vty +3vxc +2h5y +2fa5 +1zbo +3e19 +2m6m +5cw6 +1cwu +2n8x +2kln +4g79 +1q7r +1z5y +2ehr +2b7o +1o13 +5jrt +1h5q +1cks +3mu7 +4lnh +1e4e +2ld7 +3k4o +3wx7 +2qru +3pls +3fhm +2epd +2koe +4mxw +2uwq +3g3z +4ptz +2iw0 +2rp4 +2x4k +1i8t +3t1o +2j0o +3v48 +2w9h +2vi7 +2okt +3nme +1urq +3lat +3t7z +3lkb +2vt3 +4lrv +3fxq +2d9i +2fe7 +2lt1 +4mt0 +1vm7 +1a45 +4dzi +2rca +1y6k +3opy +3j4u +2xu8 +4dgs +2l6c +1qnx +1xw3 +2qf4 +2dq4 +4x54 +2oqw +2hh8 +2o4c +4pib +2x0d +3nhm +2lkc +2hw0 +2i1s +3l3b +3gby +3m4u +1g5g +4c0a +2l76 +1a6f +3otd +4jsn +2vhj +4wyw +4msp +1f5q +2hvr +4fgo +1r4k +3zrh +2ac2 +2z1p +3co5 +2fkb +4jhr +2w31 +4e4y +3vyg +1e3d +1n7z +5j11 +4m1b +2f7v +2r1i +3uzo +1yb3 +1ny1 +4cb8 +2d9h +2mfa +2hfi +1wh4 +3h6q +2gvh +1wza +3h04 +3aon +3hdt +1b43 +4lzj +2c2i +4ob6 +2co5 +4hst +1sjg +4huq +3kul +1shx +1pq4 +3fq4 +1jb1 +1a3q +4go6 +1imv +2jn9 +1h09 +2ook +1q2y +1uhz +4mdy +3umb +2ag5 +2cfx +5fm5 +4gvb +3hm2 +3nky +2ju5 +3ck6 +3ubf +3h87 +4xme +4kdi +5jea +2d69 +3s7i +1y74 +3kzs +2pv7 +4b94 +2kt7 +3i45 +2cpe +2qck +1lwb +2wml +5edx +2yug +4n03 +3l1w +1dc7 +3b5i +1t02 +1twf +3d8l +3s6e +3t7i +2kss +4xuk +4blp +2dx5 +4ye4 +1e5b +3gnj +1df4 +1dxe +4f2e +2ory +4ijj +4ki9 +3dwl +4ysh +3fd5 +4bmd +3op6 +3tqw +4alz +1wn1 +2l22 +3ozq +1gdt +4v3i +1qe5 +1otg +1pm3 +3kfu +1xa6 +3axg +3fgg +5flw +2x6q +4o00 +2ktl +4bmv +2f4w +2b3u +4qam +1skn +3my7 +1xri +1fp3 +4qrl +3k67 +4ywr +1gh9 +2c7y +2g7r +5bov +3ty5 +3ml4 +1dhn +2mmp +1nx4 +2aj2 +1xqb +4ygb +5bvi +5cn2 +4nsp +1wek +2ucz +2kyr +1axm +3bus +2muo +1tgj +2kvr +3b48 +4i9c +1jqx +3byq +3sre +3lqk +3qp3 +3g5r +1c3a +5im4 +2pnk +4z18 +3npd +5aa7 +1mw7 +3qxy +4ae2 +3uc4 +3l60 +3jvg +4cym +2hqs +3bn7 +2hfq +2q9u +1lgp +1u9p +2gvi +5cxp +3wt0 +4g6u +4pir +4auk +3oa7 +2mh2 +3m1c +3kt9 +1kft +2gfh +2v3a +2eig +3phh +1d06 +1cy9 +5jc8 +2l01 +2g3w +1s7k +3shp +2a5z +1rjg +3eco +3ign +1rhd +1aqb +3dxi +4iaj +2f06 +3r0n +1jmv +2wxw +3fbt +2go7 +2cc6 +2e52 +4xpw +2v1q +2bnm +2joz +1few +2m7a +3mwc +1puz +2jmu +4awd +5by5 +2obd +3pfe +3kd9 +1u6t +2v8q +4mt5 +3bnk +4wiq +2aee +1ra6 +4p8b +3g68 +4qun +4xrt +1gpj +2pbf +1cwx +1n9r +3h4w +3lw5 +1eg2 +3f0z +2ok7 +3p9v +1fc3 +2grg +2k6x +3l7o +1gh6 +1rj8 +2g0i +1o9z +3b5m +1pf3 +2q8u +1r6y +2kbb +2diu +2po3 +4ied +1whb +3gwr +2i7t +3ph0 +2b48 +1nub +2mcf +4dim +1pqs +4o1e +2ke9 +1ujo +2p5s +4ng0 +2jgt +2kxt +3b8e +2r31 +1q1l +4mpt +2yxo +1tf6 +3cny +1woh +3na8 +4tzh +4bmh +2wz8 +2gys +5ko4 +3snk +3o2t +2qom +5jg7 +2kbi +1i36 +1rl1 +3ufe +1u2e +1bo7 +3b1f +2g38 +3qz1 +1fvl +2vso +2otr +2loe +1wig +3s4k +3aja +3kst +3oq3 +2p13 +1efp +1q77 +3g3s +4g12 +1x49 +3pzt +1l5p +3ofk +1v86 +1ecx +3v46 +4ekj +4lsd +2h56 +2izw +1vpq +3i42 +4jhn +1zoi +1f2q +4qgr +2woc +4wd2 +4hj1 +2e1b +3wyf +2qa7 +3gyk +1v59 +4c2j +2cqn +1p9p +1bk5 +2lcc +3ghy +1x4m +5f42 +2otd +3mwd +5j1g +5fcx +4lmi +2yle +3t7l +3klq +1t3w +2jwk +3qyb +1s2d +2w8n +2hax +1flk +1t35 +2rsm +2lw5 +3we5 +3kol +3fv6 +1fs0 +4pca +1o5m +2fss +1tdq +1x46 +2q7s +2axp +1h2b +4b86 +3al0 +1ni4 +2bse +3rja +1ift +1qwg +1l0b +1wp9 +2f6p +4myr +5hwo +3zsj +4ys4 +3fk4 +3see +4yg6 +5dj7 +3isr +3ayh +2gqr +4ikb +2p4p +2moq +1ok0 +1tvz +3pnn +1t9f +5enz +1tl2 +1ylm +2pke +5ee0 +4iio +1oo0 +5kol +4za3 +3gud +1ezs +1z8r +2uvg +1a90 +2fb5 +1dk5 +3bas +2cud +2jtd +3wtc +2vij +3vus +4hyt +5iqa +3axb +3dby +2dch +1wfm +2i99 +1oyz +3mti +3i1a +2o7r +2fkc +3u0b +1b6g +1iy8 +1xhs +1tvn +2qz4 +2g0t +1odf +2jil +3c2b +3pvq +3ga2 +5hqh +4j31 +1z9m +2arp +3m4i +2yjf +4d8t +1np3 +1o9d +3uxu +2b5n +2qfc +3cjh +2jxb +4ca1 +1jrm +3cpg +3ejk +3pe8 +3gn3 +1neu +1qw2 +2kpj +3gz5 +3coq +3gzr +1wtb +3kma +4xrf +1jfw +1fi2 +3l5k +2f93 +1wgn +3b70 +4ml9 +2ch5 +3ct8 +1y7l +4lmy +4e5x +2h5f +2yks +3rr1 +3zdm +2cy4 +3jvo +2i7r +1jkg +2r0r +2wfb +2qv5 +1u3b +2qkw +1cdo +1kiu +4heo +1l5x +1zgr +1g2q +2fh0 +2nv4 +1wln +1qyc +1yzt +2rag +2qv6 +2x7b +2k6p +1roc +5c00 +2egz +3lzd +2dna +3n77 +2le1 +3frn +3jqy +2ctq +1ihg +4lun +3wds +2n93 +1din +1jjf +1rzs +3ewg +3hv1 +3vvy +2gu0 +4bht +3i38 +3q87 +4dna +1co4 +5lz6 +3mqm +2acv +2c35 +3k0b +4uqf +1o1z +4g1i +4har +5amh +3uoe +2joq +2qk1 +2m1b +3h7a +3hcy +3lmd +4ldp +1bek +2lhi +1iir +2ds5 +2j8h +3emr +2dt4 +1ryk +2z66 +4d2k +2xi8 +1a75 +1o22 +1exa +1m3q +4c7o +1gdh +2rir +2cs4 +1uhw +2n3g +1dr9 +3oi8 +2bj0 +2ewr +2m88 +3ceg +3kg6 +2u2f +3k17 +4npl +2mzb +1pyo +1rwr +4cu9 +5aig +3maj +1iqz +4hly +2pcs +1wf9 +2hsi +3q0i +2hp0 +4e4t +4jbc +4n2o +2oej +1jh3 +2ehp +2ifx +2wnw +2ky9 +3syv +4h15 +4iy0 +2bva +1g3i +4jqs +3fsy +4g65 +4y7d +2ksn +2afp +4umg +1hdc +3llx +1q5v +3g2e +2b0j +1x0j +3s98 +3tnd +2jn0 +3i5g +3h02 +3lua +2cvj +4wia +3gwa +1ko2 +1sq1 +1wru +3ros +2l42 +2p0w +1gvh +4dvq +1ifi +1bby +3eb8 +2dhg +5idy +1u57 +1att +3h95 +1f59 +3cwc +3tef +2pmy +4dzg +1tz9 +4fzw +3mqo +3q31 +1rh8 +2lo0 +1em2 +2mii +2gqt +1l7v +3vv3 +1x9l +4tpv +2a7r +1wi0 +1el4 +4n1i +1aj5 +2bue +2gfo +1z8f +4o9d +1t0y +2id5 +4nf7 +3gxg +1cg3 +2fck +2fip +2afd +3nrk +3dfe +2fna +4iob +2nob +1rmd +2qya +1reg +1na0 +1c8u +3b46 +1qlw +3c4u +1is9 +2c34 +4mbs +4ivi +2hcf +4j7p +3g7u +2kk4 +2qzj +1a9x +1uhr +1vq3 +2qjw +1bor +3qld +4paw +1x9f +3n5n +1k42 +4hg0 +1pfj +2b4a +1n40 +2gjh +1jk4 +2wzo +3i09 +3m8j +3mq2 +1ie5 +4q37 +3d7i +1yjr +3fle +5gnd +3bqy +3n0a +5d8d +1x6m +2lep +3w9s +1wh2 +3imk +2qzi +4ic1 +1r5p +1ej5 +3cz5 +1pd6 +2dbb +1iip +1q47 +4x2o +3qnm +3l0g +3i4j +1zhh +3ngm +5li7 +2rav +1v1a +3mtq +3m03 +3kl7 +1va9 +4muo +2ok8 +1af5 +3fc7 +4j2n +1t1j +2h0r +2qy6 +4j6o +5afd +3obl +3u6u +5f1s +2e6n +4c92 +3zbq +1jfr +2hcm +5dt6 +2r6o +1xu0 +1hw5 +4fe9 +1srr +5k0u +1f81 +2eja +3r7a +5dwz +2kvk +3mk6 +1g7u +2wns +2ecg +1ep5 +3mcs +4awy +4jbe +3jv7 +3ub8 +2ita +1imt +2yt6 +1dys +1hib +3u6x +4fjw +2c5i +3njz +2oqr +3nuh +2ch9 +3h3m +1v32 +3uwa +3anw +2k5g +3qbm +3f3b +2hky +1fbn +3dls +3cx5 +3ewi +3iht +4uav +1fzr +2lnh +2aca +2e29 +4fbw +2plw +2k3a +4yfv +4ls9 +4gzc +4bpy +3hn5 +2a10 +1rfz +2dyl +1qu7 +4e5s +4nn1 +3lyy +2f5g +1wsp +1c8b +2dtx +4yle +2kty +4mlo +1t9z +1wiw +4hrv +1adu +5ija +2ks9 +3nwr +4zo2 +1lmm +2gmy +3pay +3gm5 +3o60 +3h0d +1e9g +1u14 +1r0u +2o6l +1jud +2gjg +1g6o +2zai +1mwy +1t5f +3ezq +2el8 +2lp7 +2jty +3pz6 +1lva +1ojq +2amy +2ako +3pr6 +1oqc +4osn +3ou8 +3k8r +4dgu +1b24 +5dny +4jcq +4ag4 +4l0f +2opc +3dc7 +2bf1 +1vhg +2ku7 +1kt0 +3al2 +4g3h +1y7r +2yt5 +4eee +1x3w +4ld1 +3m1r +3da8 +2pcq +2lfi +5anp +3cxg +1e94 +1szz +1dhr +3keb +1ne2 +2q7f +2o5f +3tr2 +3qoy +2hjj +4yv7 +1gd2 +2oze +1bwz +2xrb +3a3d +1cwp +1tlu +2e3d +4cbp +1r8i +1vl6 +1oc2 +1i5j +1z5z +3ia1 +1h7d +4z04 +3d01 +2dhk +2byc +1wgr +1kqp +3vol +3mst +3c9h +1x4e +1lk5 +4jd0 +1ae9 +3ddv +2zcu +1xhn +3n5f +1hzf +3ukv +2h5n +2lkn +4gxw +1wy9 +3tqs +3mhx +2pok +2l69 +3fk3 +1lsh +3ep1 +3h8g +2ozu +1ll8 +1ox3 +1vef +4mn5 +1pm4 +1cs6 +1kvn +1y8q +3hdv +1tc5 +1x62 +3l9z +1lo7 diff --git a/data/PRD_val_pdb_ids b/data/PRD_val_pdb_ids new file mode 100644 index 0000000..f527337 --- /dev/null +++ b/data/PRD_val_pdb_ids @@ -0,0 +1,1452 @@ +2zv9 +2qo8 +2o65 +3rdv +1d4w +4bgg +3iej +830c +2xye +1my2 +5czm +5mb1 +3zlw +3hkq +6fns +5e0l +2p8o +3n87 +4itj +4q1e +5l7e +3faa +3pka +5x54 +1il9 +4igr +3t2t +6dar +3vbg +2ydk +5zo7 +4xnw +2jds +1hwr +1zsb +1f8a +2ke1 +3p78 +4rvm +3ovn +5wzv +4udb +1mpl +1nvq +4y4g +5mkz +2o0u +3oz1 +2puy +4odp +1hpx +4nrq +3uik +4w9g +4xek +4jok +1g50 +2o9a +3m94 +5a82 +4uro +5fpk +2lgf +4ir5 +5f94 +4yax +5nhv +2xtk +4qh7 +3q8d +3obu +4awj +3daj +2bba +5n34 +2xvn +1dpu +5fnt +4zz1 +6hm7 +4rrv +4rww +5orv +3qo2 +3uii +6d1x +3juq +4qk4 +6mr5 +5hjc +2hnc +4g0c +1i3z +3v66 +5ujv +3ipy +5fot +4gii +4h2o +5a6h +4e3n +4m5k +3dga +6ck6 +3dnj +2a58 +4bf6 +2x7x +4qp1 +4de3 +1x7b +5n9s +1ydt +2bdf +6baw +4tk0 +1u9l +1oqp +5kj0 +4ht6 +5if6 +3iqh +5d10 +5nvh +3eqr +1jq9 +1u1b +1u3s +2oqs +1pzp +1d4i +4mb9 +6b7f +5zmq +2wej +5ewa +2igx +5lpm +3lxl +4j3m +3lbk +4djp +4odl +4x6j +1ero +5ta4 +1caq +3rxg +1qkt +5c28 +4pp9 +5vrp +5zz4 +5ur5 +4jjq +5dhr +4l2g +2ltw +4c94 +5syn +3g6g +5sz4 +4f9v +5n2d +5ldo +1sqo +5j9y +6b96 +5epr +4tx6 +3dz6 +3czv +1bq4 +4a9m +3d4f +5oui +5wmg +4x5q +5cbr +5avi +3kjn +4o7e +5y5t +2qd8 +3tcp +4bhz +1jd6 +5idn +4zzx +6hly +1au2 +4jbo +5cgj +4pxm +5tb6 +3iw4 +5hct +3fmz +4p5z +5ktw +4mjr +4ux4 +4i6f +3l3x +4iaw +1szm +2afw +3ess +3sap +1bzh +5hfb +4x3h +5we9 +3zsw +5ny6 +1hn2 +3l3z +4qp2 +1d4p +4xkc +6c7e +4fai +6g9a +4xu3 +5dry +4d8z +4rpv +3vf8 +4bqx +4z9l +4ep2 +4ylk +5mme +3kx1 +4bch +5c4k +2br1 +4ddh +2w2i +4ogn +4up5 +5o4y +5hjd +2qw1 +5y8z +3u7l +2mip +2p59 +4d3h +3tzd +2vnp +4e3m +3vgc +5bqi +1lhu +3rlr +3h22 +2wot +3mo0 +4wn5 +1nfs +4e90 +1bmq +3kwz +4rj5 +6min +1ujj +4ppa +4wvl +1xt3 +5oaj +5mli +3juo +1z9g +2ykc +5a0e +3g0w +5t9w +1sqa +1fkw +3nti +3azb +2xog +1hyz +4dcd +4few +5wmt +5aok +5uit +2vgc +2gfd +3mna +1aqc +4xtt +4z0d +2z4o +1qku +6ccu +1bwb +2gvf +1hiy +5c4t +2xkf +4q18 +4dj7 +3eyd +4j0r +2m3o +2b53 +2vtr +2x6d +2i0a +5ehg +6cw4 +4c37 +1azm +2qci +5sz0 +4l53 +3p55 +2ynn +2vu3 +4dli +2bcd +4l0s +4uda +5j5t +4gh6 +1mfg +3s3i +4j73 +2h4n +4jsz +4wk1 +4igt +4k63 +3qqk +5aom +1hyv +3g4l +5mkx +5c4u +4prj +2vd7 +3odi +1qpe +1a52 +6ccy +4jog +5u9i +3az9 +3pdc +5fyx +4f49 +4nzn +6hm2 +5vk0 +4odq +2n7b +4ygf +2a4q +4jsa +3dc3 +5tob +4urn +6bik +5nya +5oh2 +5znr +5ct2 +3u4u +4x7h +3krj +1aj6 +1pmv +5n0e +4oem +6fi4 +4e3j +1os0 +3rqg +4ivc +5c7b +3m40 +5or9 +4okg +4de0 +4gr8 +1p93 +2gg8 +6fdt +5cxh +1jvu +3wp1 +5cxa +2g78 +5aml +2y34 +2qnp +1njj +4z88 +5vo2 +4fod +2pou +3jsw +2ow2 +5g3m +3odl +3o9e +3eyh +3c4e +3pb8 +6fap +4iax +6fgg +5wbf +2yxj +1ff1 +1qbt +2iwu +3hvi +2w0x +3fcl +1zpa +3t1l +4cfw +5op8 +4eb9 +5ehv +5ier +4ode +1xoq +5d6p +3kwa +5v82 +3bz3 +3myq +4j0s +4f4p +4lh6 +1uef +4j3d +4yx4 +4ptg +4ec4 +4r1v +3g2u +6hlz +4lkj +2yhd +3hqz +3pb7 +5twh +4gql +3n3l +3acx +5yvx +1xmu +5l6p +5l8n +4msn +3f66 +5hcl +3kce +3u15 +5khi +4qew +5gsw +2qd7 +3f9w +1ymx +1ui0 +1pxl +5kos +3vzd +3ara +4li6 +5ks7 +5j7q +4bcm +5orx +3c5u +6gjy +6drt +3jup +5ork +4wke +4x7l +5ivy +3f16 +2d06 +1iup +1ydd +5w4r +3h23 +3rj7 +1ebw +1fcy +4b6s +3f82 +4zzz +2vts +3u3f +4csy +2mnz +2vpg +2qd6 +4jkw +3ml5 +1ih0 +4at5 +5dgu +4g31 +5n0d +2wzm +4b4q +6fi1 +5d75 +5x4o +1ydb +4zz0 +3evf +5vyy +6eip +5tq4 +5uxf +2j7x +4kil +1yda +3bc4 +2ew5 +5ody +4j84 +5nne +5m6m +2a4r +3p1d +2ayp +3iux +4b0g +4qo9 +4bh4 +4xt9 +2ok1 +5mmn +3hs4 +6e5x +5vnd +5evd +4own +5oh9 +4hv7 +1dvo +2dby +1cvl +19hc +2wau +4m5b +2dli +1t1v +1ufv +2yg3 +3dza +3fcy +2yf4 +2f4n +1yll +3iwc +2ctd +3ou2 +1zq1 +1mwq +2zzj +1yre +2av9 +2ckn +2vbu +1dxr +4rzk +2jng +1wdz +2qgo +2lqv +3csv +5j3u +3mgg +1itv +1u2w +3oq2 +1j8m +4wz2 +1dd4 +3ztp +4v0h +1x9g +3lhl +1y96 +2ekp +2g8f +2vje +2j3r +2pmr +3fdg +3fez +4pcq +3o4o +1hfe +1nkp +2wy4 +2ywq +2xcy +1gv2 +1ctf +2wp7 +3nmz +2kvs +3m6u +2dig +4kf8 +3mw8 +1iqo +2b7j +4cgw +3k11 +4gmq +1y7m +1f0y +2e70 +1ta3 +4lg1 +2zy9 +2gja +2e5v +5is2 +4ovk +3lb6 +3ia8 +2ksl +3t8q +3kp9 +1jta +4emz +2jva +3qod +1bo4 +1dp3 +1qgj +2o0p +3wp8 +4ac9 +1qwj +2m3v +3mpx +4a9a +2nxp +4u4i +1xsq +2da3 +2lku +4b0z +1x4g +1q0u +1yd9 +3zqc +2ctj +5apa +1zej +5czd +3ami +4dny +1ltq +4nwy +2o7g +4lvu +2bky +4nvr +1ukl +4jmq +2phz +1fsc +2uua +4hoi +1sid +1oj7 +2mv2 +5dtp +2b06 +3k7l +2rfm +4f9z +4qqs +4pc9 +1x3k +1p9r +5kco +2o8k +4u7m +3ejx +3aog +4p3g +1dbd +2os5 +2miu +2p6y +4rv1 +2mw2 +1v8c +2jc4 +1oyp +4mdw +3bpq +2v7f +1p32 +1wi1 +2krh +3qxb +2q0z +2ho4 +1w7l +3luu +4v2k +1iuk +3u5t +1yco +3ale +3t4r +2dn7 +1a8m +3vi3 +5ilq +2bpa +1r77 +1gyd +3sno +2rhf +2r8w +3ctl +4dix +2lnm +3k5b +1ghp +2vov +2kc8 +1a73 +4hyq +1lu4 +1mnt +4evs +2jod +1ixk +5k2x +1v8d +2o6c +2dgr +1nkl +3q1x +5gkx +3d68 +1who +3gzb +2xv9 +3e21 +2x12 +1iug +3gyq +3lap +2gup +5jrc +2lu7 +4fsd +2iqc +1s6d +2kc2 +3gaz +4ewi +1hf2 +3vkw +1yhq +4o1g +3ktb +3iei +2wzp +1xrb +1bf3 +1nei +2aiv +3qjh +2khm +1xn5 +2h9d +2p6c +2fiw +1gzj +4lsb +2o1q +2d7v +3ppb +2m9h +1paq +3ajc +1isi +1f6f +1n9p +2ew0 +1umd +5hh1 +3nxc +3n4d +3smz +3saf +3hry +3qmj +3hm4 +1zow +1zvp +4jqt +3gz8 +3zhe +2ijq +4ccg +4mtl +3lvu +4aai +4kl0 +1vyh +3mvp +4mxn +5dka +1fnn +1cw1 +2poc +1kw4 +3pl9 +3dhn +3flp +4cyu +3cqb +2wa6 +3shu +3e8m +1wbe +2nw0 +4mco +1v63 +1etz +3vs8 +1vp4 +2hi4 +3n3d +4ffe +2mf9 +2jro +3qdf +5lfn +3o53 +2m89 +1xou +2ett +1fp5 +3lkl +5al9 +1wgg +3foe +2w4l +4ynm +4exb +3dm8 +2auv +2imj +1nig +3o0l +4f7u +2yre +1hfi +2ej4 +2keb +4rs5 +3fpf +4j07 +1pu1 +3cjn +2jml +4ljk +3tgx +2isn +2qml +2p9x +3zsc +3vk8 +1bpo +1dhk +1z8k +2mca +1tvg +2ro1 +4a42 +3m9g +4h87 +3due +4xa4 +2bgc +2gz6 +5g4i +3d1l +2ovl +3guy +5l92 +1vma +2vzw +1mt3 +2i7n +3tbi +2jr1 +2fgg +4yt3 +3ivt +1zit +1jo6 +1l4i +3edv +3fbl +2r4h +3ejf +1o7d +4ec7 +3cnw +3h8u +4mub +2fo8 +3aqs +2dmk +3m7v +2hzk +4co9 +2x1w +2ovi +2wqp +4idi +3agd +2bho +1tzz +3nng +4d8l +2cjl +2lw1 +1b4b +3mbh +1p3y +5egw +4q7a +2c7h +3os7 +2pof +1r5j +3nfq +3cll +1tyg +2kmc +2j5i +4m20 +2w35 +3d9r +1dml +3eb2 +2e19 +3zj2 +2ije +4eek +4by6 +4qwo +3wur +2nzc +1si5 +1j2r +1rfh +3s5b +3eop +4nas +4l63 +2z61 +2rqp +1kfv +4o5f +3pwx +3p1t +1hux +1x2l +2d4a +4gt4 +2vsz +5k2m +1frv +3r07 +3rjr +2jbx +2r7a +2lez +2z69 +5fgm +1ryb +1ix5 +3t7y +5ic7 +3b5q +4c5c +2h4p +2yha +1hbg +3fsp +3og4 +3e9k +3ecs +1r76 +2crb +3sds +3isx +3vmm +4wgh +2fe8 +2k4d +4wiw +4bg7 +1w74 +5ejd +3oxh +1udk +3hhy +3vw5 +3ly7 +1z4h +1sum +1wc1 +4jfc +3noh +3hd6 +4fda +3r8q +2vxb +3p1v +2gp6 +2dlq +4iu2 +2hjq +2ddz +1b8d +3qe9 +2qhl +4f3f +1g5b +5azp +1zkd +2g7i +1prx +3ucx +2gf2 +2k4p +2gpe +1wiz +2m5z +3w6v +3cb5 +1gp4 +5ji5 +2zo4 +3bwx +3vny +2xq9 +4d4r +2f3l +1wn0 +5tvo +3m4r +3es4 +2kms +3zy2 +1htw +2ggf +1vqy +1yga +2cui +1g2r +1fbl +2xz4 +2gov +4qnd +2m6b +4leu +2qnu +3nkh +3cai +2wt8 +4ngd +2k31 +1kac +1fim +3id9 +1b5e +1irz +3dal +1qex +4llg +3tav +2cfc +3ihj +4a0z +1jm7 +3hr8 +1eai +3ocm +3tr0 +3nv6 +4b96 +2yj6 +3llp +3elb +2qlz +2v31 +1g25 +1icf +3ewl +4rcm +1siy +4ay0 +3wo8 +4wer +2lh0 +3n70 +1bw0 +4oju +3kg7 +1ssl +1bvu +1cb9 +2fsd +3fwy +1tul +1z1l +4df0 +3vgl +2npu +3cky +1vpw +1eyu +1ik9 +1jsd +2i88 +4ftx +1pn2 +1sul +3obh +3rh7 +2wmc +2dlu +3njc +4ll1 +2xtc +4f0f +2fli +2ma3 +1nba +3dbo +1cd9 +3t5x +3teb +3co4 +3qdh +3wdm +2qyc +3gpk +4pyt +1nho +3fnd +1b4q +1v6e +1bun +2i4r +2jq5 +1z6b +3bjs +1qhh +1fe6 +2l25 +2hhg +3op9 +1ktb +1k1a +1v9x +2db5 +3cqh +2a4e +1ug7 +3pnr +2mkn +3pg5 +3f2e +5bqp +3g64 +3dpl +4lr2 +2dku +1wj7 +4b4y +1fp1 +1cd3 +2ma4 +1yrx +2kp5 +4oc9 +5hr9 +2cgq +5aca +5by7 +1ycd +3lcy +4ovx +4rca +2hqy +5hn9 +3t8k +1ksq +3uiu +2pju +1cvr +2f96 +2vqx +3h7o +1zfj +1l1d +1dm1 +2yyh +4yt9 +3i4f +3gvc +3l6p +3mwx +5gjn +1c17 +5c1c +4nzj +2csz +3lh4 +3eei +4p9f +2ecb +3gv0 +2kkq +1uar +3gff +1ed7 +3db0 +3dod +3a31 +3ezs +1e6p +1evs +1zn6 +3mnm +3bbd +4ze8 +3cmq +1z0j +1b66 +2kca +2esv +3wkg +1ye8 +2mek +4cyd +1ifr +1jjs +2yq5 +1cqk +2o3f +4zya +3lk7 +2xdh +3i5d +3bgt +3jsj +1uf9 +1agy +4ie5 +3vwo +4ry8 +2uyy +3k1l +3u3g +4dwn +2rkh +1xvs +4ghb +3b7x +1byr +4wpz +3q9d +2xig +1qdl +3ptj +1g1c +5ffd +2z3x +2cya +3by7 +3qay +2kmg +4i19 +2wzk +3rrv +2nsa +3oa8 +3qbr +2g40 +3cjm +5j7m +3fo5 +1dv5 +2b97 +2wsu +3ghg +1wu8 +4ywe +3hru +4m1x +4qi3 +3k1t +4fx5 +1l9x +3jcu +2k53 +3dr4 +3li8 +2nps +1dbt +1g6s +3gg9 +2qq5 +2d88 +3hfi +2kj6 +1m6k +2p4b +4ld6 +2w6b +3ch0 +2mrp +5h3h +1te4 +3mdy +3b49 +1a22 +4bfo +1xdw +3e0x +1r6h +3tx8 +1hxh +3vz3 +4ppu +2bwq +4mwa +1yxs +1ks8 +5hci +1txk +4d10 +2f5z +2l73 +4rag +4ow8 +1snl +3qao +1pa4 +3b2m +2r9z +4u4e +4k29 +1gpw +5ice +3b76 +3qha +2p10 +3d22 +2w7t +1ihn +3bfo +1q44 +3dgh +3hc1 +3gxb +3f67 +2c2v +4i98 +2q99 +2gle +4b89 +3dt5 +4rv5 +1vhh +1zyn +3law +1a3a +3mky +1i51 +1s35 +1l8q +4dyo +4yca +4zg5 +2zc2 +3qta +2a9s +2e11 +3h11 +3me4 +1q18 +2zjt +4hwm +1ym5 +1r6d +1bqc +1c1y +1nqz +4gn1 +3olq +2giy +1bgf +3cz6 +1wdi +4mi2 +2yx1 +3sz7 +3u02 +3qky +4j7h +2nu8 +1t5b +4bfk +2o3j +1t98 +1o6a +1ag4 +1grw +2b3w +2d1g +2eb0 +1kx5 +1g8j +4edg +1g9m +1vyi +2zgd +2mhk diff --git a/preprocess_pdbbind.py b/preprocess_pdbbind.py index cad03ba..1391aae 100644 --- a/preprocess_pdbbind.py +++ b/preprocess_pdbbind.py @@ -1,3 +1,13 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand + +""" + import itertools from argparse import ArgumentParser from pathlib import Path @@ -26,14 +36,12 @@ def main(args): batch_converter = alphabet.get_batch_converter() pdb_ids: List[str] = [] - # with open(args.data_dir / "nn_pdb_ids", "r") as f: - # pdb_ids.extend(line.strip() for line in f.readlines()) - with open(args.data_dir / "train_pdb_ids", "r") as f: + with open(args.data_dir / "PRD_train_pdb_ids", "r") as f: pdb_ids.extend(line.strip() for line in f.readlines()) - with open(args.data_dir / "val_pdb_ids", "r") as f: + with open(args.data_dir / "PRD_val_pdb_ids", "r") as f: pdb_ids.extend(line.strip() for line in f.readlines()) - with open(args.data_dir / "test_pdb_ids", "r") as f: + with open(args.data_dir / "PRD_test_pdb_ids", "r") as f: pdb_ids.extend(line.strip() for line in f.readlines()) diff --git a/train.py b/train.py index bdc52c7..4f008b4 100644 --- a/train.py +++ b/train.py @@ -1,3 +1,12 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand +""" + import os import warnings from argparse import ArgumentParser diff --git a/train_from_ckpt.py b/train_from_ckpt.py index 237844f..b699ecf 100644 --- a/train_from_ckpt.py +++ b/train_from_ckpt.py @@ -1,3 +1,11 @@ +""" +Adapted from Nakata, S., Mori, Y. & Tanaka, S. +End-to-end protein–ligand complex structure generation with diffusion-based generative models. +BMC Bioinformatics 24, 233 (2023). +https://doi.org/10.1186/s12859-023-05354-5 + +Repository: https://github.com/shuyana/DiffusionProteinLigand +""" import os import warnings from argparse import ArgumentParser @@ -10,9 +18,6 @@ from dpl.data import PDBbindDataModule from dpl.model import DiffusionModel -# import wandb -# wandb.login(key="08bf4af1072e57396f586c95fa2ea56a9c0a1681") -# wandb.init() def main(args): From 3c3d80fa36316ab3e7702f7f1e2c53d0a101f368 Mon Sep 17 00:00:00 2001 From: nnguyen19 Date: Fri, 19 Apr 2024 13:43:09 -0500 Subject: [PATCH 4/4] add inference scripts --- README.md | 111 +++-- scripts/README.md | 6 + {test => scripts}/__init__.py | 0 .../__pycache__/__init__.cpython-39.pyc | Bin .../__pycache__/predict.cpython-39.pyc | Bin .../predict_batch_seq.cpython-39.pyc | Bin .../predict_batch_seq_msk_inp.py | 131 ++++-- scripts/predict_batch_strc_msk_inp.py | 340 ++++++++++++++ scripts/test_pdb.smiles | 207 +++++++++ scripts/test_sequences_from_pdb.fasta | 414 ++++++++++++++++++ test/README.md | 4 - test/predict.py | 205 --------- test/predict_batch.py | 220 ---------- test/test_cases.fasta | 8 - test/test_predict_batch.sh | 24 - 15 files changed, 1147 insertions(+), 523 deletions(-) create mode 100644 scripts/README.md rename {test => scripts}/__init__.py (100%) rename {test => scripts}/__pycache__/__init__.cpython-39.pyc (100%) rename {test => scripts}/__pycache__/predict.cpython-39.pyc (100%) rename {test => scripts}/__pycache__/predict_batch_seq.cpython-39.pyc (100%) rename test/predict_batch_seq.py => scripts/predict_batch_seq_msk_inp.py (67%) create mode 100644 scripts/predict_batch_strc_msk_inp.py create mode 100644 scripts/test_pdb.smiles create mode 100644 scripts/test_sequences_from_pdb.fasta delete mode 100644 test/README.md delete mode 100644 test/predict.py delete mode 100644 test/predict_batch.py delete mode 100644 test/test_cases.fasta delete mode 100644 test/test_predict_batch.sh diff --git a/README.md b/README.md index f33b306..f19af94 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ conda activate ProteinReDiff Download model parameters: ```bash -gdown --fuzzy --folder https://drive.google.com/drive/u/1/folders/1AAJ4P5EmQtwle9_eSeNMcF-KMWObksxZ +gdown --fuzzy --folder https://drive.google.com/drive/folders/1rPlzMUPgKLFd_Krk8cGqhEeitWByPOMn?usp=sharing ``` Additionally, TMalign is required to align generated structures. @@ -47,50 +47,70 @@ export PATH="/path/to/TMalign:$PATH" ``` ## Sample generation -Generate complex structures with the protein structure-free model (ProteinReDiff): + +Generate single complex structure using ProteinReDiff: + ```bash python generate.py \ - --ckpt_path "checkpoints/ProteinReDiff_v1.ckpt" \ - --output_dir "workdir/generate/example_ProteinReDiff" \ + --ckpt_path "checkpoints/PRD_ver1.ckpt"\ + --output_dir "workdir/inference/example_ProteinReDiff" \ --protein "LSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD" \ --ligand "Cc1ccc2c(c1c3cc(cc4c3nc([nH]4)C5CC5)c6c(noc6C)C)cccn2" \ - --num_samples 8 + --num_samples 3 \ + --num_steps 1000 ``` -Alternatively, the protein structure-dependent model (ProteinReDiff+S) can be used: +The sequence can be masked prior to input using `X` token (`mask_prob` is the fraction of input protein residues to be masked from 0.0 to 1.0): ```bash -wget https://files.rcsb.org/download/6MOA.pdb python generate.py \ - --ckpt_path "checkpoints/ProteinReDiffS_v1.ckpt" \ - --output_dir "workdir/generate/example_ProteinReDiffS" \ - --protein "6MOA.pdb" \ + --ckpt_path "checkpoints/PRD_ver1.ckpt"\ + --output_dir "workdir/inference/example_ProteinReDiff" \ + --protein "LSEQXXXXNGILKELLSKXXXXYAWPFYKPVDASALGLHDYHDIIKXXXXLSTVKRKMENRDYRDXXXXAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD" \ --ligand "Cc1ccc2c(c1c3cc(cc4c3nc([nH]4)C5CC5)c6c(noc6C)C)cccn2" \ - --num_samples 8 + --num_samples 4 \ + --num_steps 1000 \ + --mask_prob 0.0 ``` -Note that an input protein structure must be given as a PDB file in this case. -Besides, you can specify a reference protein structure to be used for the alignment of results: +Generate structure ensembles without ligand (use the dummy token `*`): ```bash python generate.py \ - --ckpt_path "checkpoints/ProteinReDiff_v1.ckpt" \ - --output_dir "workdir/generate/example_ProteinReDiff_ref" \ + --ckpt_path "checkpoints/PRD_ver1.ckpt"\ + --output_dir "workdir/inference/example_ProteinReDiff" \ --protein "LSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD" \ - --ligand "Cc1ccc2c(c1c3cc(cc4c3nc([nH]4)C5CC5)c6c(noc6C)C)cccn2" \ - --num_samples 8 \ - --ref_path "6MOA.pdb" + --ligand "*" \ + --num_samples 3 \ + --num_steps 1000 ``` -This is used only for alignment and does not affect the generation process itself. -The argument num_steps can be modified from the default of 64 to reduce execution time: +Generate multiple complex structures: ```bash -python generate.py \ - --ckpt_path "checkpoints/ProteinReDiff_v1.ckpt" \ - --output_dir "workdir/generate/example_ProteinReDiff_fast" \ - --protein "LSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD" \ - --ligand "Cc1ccc2c(c1c3cc(cc4c3nc([nH]4)C5CC5)c6c(noc6C)C)cccn2" \ - --num_samples 8 \ - --ref_path "6MOA.pdb" \ - --num_steps 24 +python -m scripts.predict_batch_strc_msk_inp \ + --ckpt_path "checkpoints/PRD_ver1.ckpt" \ + --output_dir "workdir/inference/example_ProteinReDiff" \ + --fasta "./scripts/test_sequences_from_pdb.fasta" \ + --ligand_file './scripts/scripts.smiles' \ + --accelerator "gpu"\ + --num_gpus 1 \ + --batch_size 1 \ + --num_samples 1 \ + --mask_prob 0.5 \ + --num_steps 1000 + ``` + +Alternatively, generate multiple samples per sequences only (`mask_prob` can be adjusted to increase diversity, best sequences are masked below 0.5): +```bash +python -m scripts.predict_batch_seq_msk_inp \ + --ckpt_path "checkpoints/PRD_ver1.ckpt" \ + --output_dir "workdir/inference/example_ProteinReDiff" \ + --fasta "./scripts/test_sequences_from_pdb.fasta" \ + --ligand_file './scripts/test_pdb.smiles' \ + --accelerator "gpu"\ + --num_gpus 1 \ + --batch_size 1 \ + --num_samples 10 \ + --mask_prob 0.3 \ + --num_steps 1000 ``` ## Training @@ -110,7 +130,6 @@ python train.py \ --num_workers 8 \ --batch_size 1 \ --accumulate_grad_batches 8 \ - --no_cb_distogram \ --save_dir "workdir/train/example_ProteinReDiff" \ --single_dim 256 \ --pair_dim 32 \ @@ -121,13 +140,37 @@ where the no_cb_distogram argument makes the model protein structure-free. Please modify the batch_size and accumulate_grad_batches arguments according to your machine(s). Default values can be used to reproduce the settings used in our paper: -``` + +```bash python train.py \ - --num_workers 8 \ - --batch_size 3 \ + --training_mode \ + --num_gpus 1\ + --num_workers 30 \ + --batch_size 2 \ + --accumulate_grad_batches 10 \ + --save_dir "workdir/train/example_ProteinReDiff" \ + --single_dim 512 \ + --mask_prob 0.15 \ + --pair_dim 64 \ + --num_steps 2000 \ + --num_blocks 4 +``` +Due to the limitation of runtime on GPUs, we prepared a `train_from_ckpt.py` script to further train on finished epoch: + +```bash +python train_from_ckpt.py \ + --training_mode \ + --num_gpus 1\ + --num_workers 30 \ + --batch_size 2 \ --accumulate_grad_batches 8 \ - --no_cb_distogram \ - --save_dir "workdir/train/reproduce_ProteinReDiff" + --save_dir "$save_dir" \ + --single_dim 512 \ + --mask_prob 0.15 \ + --pair_dim 64 \ + --num_steps 1000 \ + --num_blocks 4 \ + --trained_ckpt "checkpoints/PRD_ver1.ckpt" ``` ## Acknowledgements diff --git a/scripts/README.md b/scripts/README.md new file mode 100644 index 0000000..ee4f30a --- /dev/null +++ b/scripts/README.md @@ -0,0 +1,6 @@ +### Inference Scripts: + +- predict_batch_strc_msk_inp.py: predict batch of complex structures. +- predict_batch_seq_msk_inp.py: predict batch of sequences only without TM alignment comparison. + + \ No newline at end of file diff --git a/test/__init__.py b/scripts/__init__.py similarity index 100% rename from test/__init__.py rename to scripts/__init__.py diff --git a/test/__pycache__/__init__.cpython-39.pyc b/scripts/__pycache__/__init__.cpython-39.pyc similarity index 100% rename from test/__pycache__/__init__.cpython-39.pyc rename to scripts/__pycache__/__init__.cpython-39.pyc diff --git a/test/__pycache__/predict.cpython-39.pyc b/scripts/__pycache__/predict.cpython-39.pyc similarity index 100% rename from test/__pycache__/predict.cpython-39.pyc rename to scripts/__pycache__/predict.cpython-39.pyc diff --git a/test/__pycache__/predict_batch_seq.cpython-39.pyc b/scripts/__pycache__/predict_batch_seq.cpython-39.pyc similarity index 100% rename from test/__pycache__/predict_batch_seq.cpython-39.pyc rename to scripts/__pycache__/predict_batch_seq.cpython-39.pyc diff --git a/test/predict_batch_seq.py b/scripts/predict_batch_seq_msk_inp.py similarity index 67% rename from test/predict_batch_seq.py rename to scripts/predict_batch_seq_msk_inp.py index ba25cad..3e58783 100644 --- a/test/predict_batch_seq.py +++ b/scripts/predict_batch_seq_msk_inp.py @@ -5,9 +5,10 @@ from argparse import ArgumentParser from operator import itemgetter from pathlib import Path -from typing import Iterable, List, Union, Tuple +from typing import Iterable, List, Union, Tuple, Any import numpy as np +import random import pytorch_lightning as pl import torch from rdkit import Chem @@ -25,14 +26,50 @@ proteins_to_pdb_file, ) from dpl.tmalign import run_tmalign + +torch.multiprocessing.set_start_method('fork') RESIDUE_TYPES_MASK = RESIDUE_TYPES + [""] -def compute_residue_esm(protein: Protein) -> torch.Tensor: - esm_model, esm_alphabet = torch.hub.load( - "facebookresearch/esm:main", "esm2_t33_650M_UR50D" - ) - esm_model.cuda().eval() - esm_batch_converter = esm_alphabet.get_batch_converter() + + + +esm_model = None +esm_batch_converter = None + +def load_esm_model(accelerator): + global esm_model, esm_batch_converter + if esm_model is None or esm_batch_converter is None: + esm_model, esm_alphabet = torch.hub.load( + "facebookresearch/esm:main", "esm2_t33_650M_UR50D" + ) + + # esm_model.cuda().eval() + if accelerator == "gpu": + esm_model.cuda().eval() + else: + esm_model.eval() + esm_batch_converter = esm_alphabet.get_batch_converter() + +# esm_model, esm_alphabet = torch.hub.load( +# "facebookresearch/esm:main", "esm2_t33_650M_UR50D" +# ) +# esm_model.cuda().eval() +# esm_batch_converter = esm_alphabet.get_batch_converter() + +def compute_residue_esm(protein: Protein, accelerator: str) -> torch.Tensor: + # esm_model, esm_alphabet = torch.hub.load( + # "facebookresearch/esm:main", "esm2_t33_650M_UR50D" + # ) + # esm_model.cuda().eval() + # esm_batch_converter = esm_alphabet.get_batch_converter() + global esm_model, esm_batch_converter + # if esm_model is None or esm_batch_converter is None: + # esm_model, esm_alphabet = torch.hub.load( + # "facebookresearch/esm:main", "esm2_t33_650M_UR50D" + # ) + # esm_model.cuda().eval() + # esm_batch_converter = esm_alphabet.get_batch_converter() + load_esm_model(accelerator) data = [] for chain, _ in itertools.groupby(protein.chain_index): @@ -40,7 +77,11 @@ def compute_residue_esm(protein: Protein) -> torch.Tensor: [RESIDUE_TYPES_MASK[aa] for aa in protein.aatype[protein.chain_index == chain]] ) data.append(("", sequence)) - batch_tokens = esm_batch_converter(data)[2].cuda() + # batch_tokens = esm_batch_converter(data)[2].cuda() + if accelerator == "gpu": + batch_tokens = esm_batch_converter(data)[2].cuda() + else: + batch_tokens = esm_batch_converter(data)[2] with torch.inference_mode(): results = esm_model(batch_tokens, repr_layers=[esm_model.num_layers]) token_representations = results["representations"][esm_model.num_layers].cpu() @@ -66,6 +107,24 @@ def proteins_from_fasta(fasta_file: Union[str, Path]): return proteins, names +def proteins_from_fasta_with_mask(fasta_file: Union[str, Path], mask_percent: float = 0.0): + names = [] + proteins = [] + sequences = [] + with open(fasta_file, "r") as f: + for line in f: + if line.startswith(">"): + name = line.lstrip(">").rstrip("\n").replace(" ","_") + names.append(name) + elif not line in ['\n', '\r\n']: + sequence = line.rstrip("\n") + sequence = mask_sequence_by_percent(sequence, mask_percent) + protein = protein_from_sequence(sequence) + proteins.append(protein) + sequences.append(sequence) + + return proteins, names, sequences + def parse_ligands(ligand_input: Union[str, Path, list]): ligands = [] if isinstance(ligand_input, list): @@ -110,9 +169,17 @@ def update_seq( protein = dataclasses.replace(protein, aatype = aatype) return protein +def mask_sequence_by_percent(seq, percentage=0.2): + aa_to_replace = random.sample(range(len(seq)), int(len(seq)*percentage)) + + output_aa = [char if idx not in aa_to_replace else 'X' for idx, char in enumerate(seq)] + masked_seq = ''.join(output_aa) + + return masked_seq def main(args): - pl.seed_everything(args.seed, workers=True) + pl.seed_everything(np.random.randint(999999999), workers=True) + # Check if the directory exists if os.path.exists(args.output_dir): # Remove the existing directory @@ -123,17 +190,20 @@ def main(args): model = ProteinReDiffModel.load_from_checkpoint( args.ckpt_path, num_steps=args.num_steps ) - ## (NN) model.training_mode = False - args.num_gpus = 1 model.mask_prob = args.mask_prob ## (NN) # Inputs - proteins, names = proteins_from_fasta(args.fasta) - + proteins, names, masked_sequences = proteins_from_fasta_with_mask(args.fasta, args.mask_prob) + + with open(args.output_dir / "masked_sequences.fasta", "w") as f: + for i, (name, seq) in enumerate(zip(names, masked_sequences)): + f.write(">{}_sample_{}\n".format(name,i%args.num_samples)) + f.write("{}\n".format(seq)) + if args.ligand_file is None: - ligand_input = ["*"]*args.num_samples*len(names) + ligand_input = ["*"]*len(names) ligands = parse_ligands(ligand_input) else: @@ -145,23 +215,24 @@ def main(args): # warnings.warn("Too many atoms (> 400). May take a long time for sample generation.") datas = [] - for protein, ligand in zip(proteins, ligands): + for name, protein, ligand in zip(names,proteins, ligands): data = { **ligand_to_data(ligand), - **protein_to_data(protein, residue_esm=compute_residue_esm(protein)), + **protein_to_data(protein, residue_esm=compute_residue_esm(protein, args.accelerator)), } datas.extend([data]*args.num_samples) - # Generate samples - trainer = pl.Trainer.from_argparse_args( - args, - accelerator="auto", - gpus = args.num_gpus, - default_root_dir=args.output_dir, - max_epochs=-1, - ) + + trainer = pl.Trainer( + accelerator=args.accelerator, + devices=args.num_gpus, + default_root_dir=args.output_dir, + max_epochs=-1, + strategy='ddp' + + ) results = trainer.predict( model, dataloaders=DataLoader( @@ -169,11 +240,13 @@ def main(args): batch_size=args.batch_size, num_workers=args.num_workers, collate_fn=collate_fn, - ), + ) ) - torch.save(results,"results.pt") - positions = [p[0] for p in results] ## (NN) + + + #torch.save(results,"results.pt") + # positions = [p[0] for p in results] ## (NN) probabilities = [s[1] for s in results] ## (NN) # positions = torch.cat(positions, dim=0).detach().cpu().numpy() @@ -226,8 +299,10 @@ def main(args): if __name__ == "__main__": parser = ArgumentParser() - parser.add_argument("--seed", type=int, default=1234) + # parser.add_argument("--seed", type=int, default=1234) + parser.add_argument("--accelerator", type=str, default="gpu") parser.add_argument("--batch_size", type=int, default=1) + parser.add_argument("--num_gpus", type=int, default=1) parser.add_argument("--num_workers", type=int, default=torch.get_num_threads()) parser.add_argument("--num_steps", type=int, default=64) parser.add_argument("--mask_prob", type=float, default=0.3) diff --git a/scripts/predict_batch_strc_msk_inp.py b/scripts/predict_batch_strc_msk_inp.py new file mode 100644 index 0000000..52550ec --- /dev/null +++ b/scripts/predict_batch_strc_msk_inp.py @@ -0,0 +1,340 @@ +import dataclasses +import itertools +import warnings +import os +from argparse import ArgumentParser +from operator import itemgetter +from pathlib import Path +from typing import Iterable, List, Union, Tuple, Any + +import numpy as np +import random +import pytorch_lightning as pl +import torch +from rdkit import Chem +from torch.utils.data import DataLoader + +from dpl.data import InferenceDataset, collate_fn, ligand_to_data, protein_to_data +from dpl.model import ProteinReDiffModel ## (NN) +from dpl.mol import get_mol_positions, mol_from_file, update_mol_positions +from dpl.protein import ( + RESIDUE_TYPES, + RESIDUE_TYPE_INDEX, + Protein, + protein_from_pdb_file, + protein_from_sequence, + proteins_to_pdb_file, + protein_to_pdb_file +) +from dpl.tmalign import run_tmalign + +torch.multiprocessing.set_start_method('fork') + +RESIDUE_TYPES_MASK = RESIDUE_TYPES + [""] + + + +esm_model = None +esm_batch_converter = None + +def load_esm_model(accelerator): + global esm_model, esm_batch_converter + if esm_model is None or esm_batch_converter is None: + esm_model, esm_alphabet = torch.hub.load( + "facebookresearch/esm:main", "esm2_t33_650M_UR50D" + ) + + # esm_model.cuda().eval() + if accelerator == "gpu": + esm_model.cuda().eval() + else: + esm_model.eval() + esm_batch_converter = esm_alphabet.get_batch_converter() + +# esm_model, esm_alphabet = torch.hub.load( +# "facebookresearch/esm:main", "esm2_t33_650M_UR50D" +# ) +# esm_model.cuda().eval() +# esm_batch_converter = esm_alphabet.get_batch_converter() + +def compute_residue_esm(protein: Protein, accelerator: str) -> torch.Tensor: + # esm_model, esm_alphabet = torch.hub.load( + # "facebookresearch/esm:main", "esm2_t33_650M_UR50D" + # ) + # esm_model.cuda().eval() + # esm_batch_converter = esm_alphabet.get_batch_converter() + global esm_model, esm_batch_converter + # if esm_model is None or esm_batch_converter is None: + # esm_model, esm_alphabet = torch.hub.load( + # "facebookresearch/esm:main", "esm2_t33_650M_UR50D" + # ) + # esm_model.cuda().eval() + # esm_batch_converter = esm_alphabet.get_batch_converter() + load_esm_model(accelerator) + + data = [] + for chain, _ in itertools.groupby(protein.chain_index): + sequence = "".join( + [RESIDUE_TYPES_MASK[aa] for aa in protein.aatype[protein.chain_index == chain]] + ) + data.append(("", sequence)) + # batch_tokens = esm_batch_converter(data)[2].cuda() + if accelerator == "gpu": + batch_tokens = esm_batch_converter(data)[2].cuda() + else: + batch_tokens = esm_batch_converter(data)[2] + with torch.inference_mode(): + results = esm_model(batch_tokens, repr_layers=[esm_model.num_layers]) + token_representations = results["representations"][esm_model.num_layers].cpu() + residue_representations = [] + for i, (_, sequence) in enumerate(data): + residue_representations.append(token_representations[i, 1 : len(protein.aatype) + 1]) + residue_esm = torch.cat(residue_representations, dim=0) + assert residue_esm.size(0) == len(protein.aatype) + return residue_esm + +def proteins_from_fasta(fasta_file: Union[str, Path]): + names = [] + proteins = [] + with open(fasta_file, "r") as f: + for line in f: + if line.startswith(">"): + name = line.lstrip(">").rstrip("\n").replace(" ","_") + names.append(name) + elif not line in ['\n', '\r\n']: + sequence = line.rstrip("\n") + protein = protein_from_sequence(sequence) + proteins.append(protein) + + return proteins, names + +def proteins_from_fasta_with_mask(fasta_file: Union[str, Path], mask_percent: float = 0.0): + names = [] + proteins = [] + sequences = [] + with open(fasta_file, "r") as f: + for line in f: + if line.startswith(">"): + name = line.lstrip(">").rstrip("\n").replace(" ","_") + names.append(name) + elif not line in ['\n', '\r\n']: + sequence = line.rstrip("\n") + sequence = mask_sequence_by_percent(sequence, mask_percent) + protein = protein_from_sequence(sequence) + proteins.append(protein) + sequences.append(sequence) + + return proteins, names, sequences + +def parse_ligands(ligand_input: Union[str, Path, list]): + ligands = [] + if isinstance(ligand_input, list): + for lig in ligand_input: + ligand = Chem.MolFromSmiles(lig) + ligand = update_mol_positions(ligand, np.zeros((ligand.GetNumAtoms(), 3))) + ligands.append(ligand) + else: + with open(ligand_input, "r") as f: + for line in f: + ligand = Chem.MolFromSmiles(line.rstrip("\n")) + ligand = update_mol_positions(ligand, np.zeros((ligand.GetNumAtoms(), 3))) + ligands.append(ligand) + + return ligands + +def update_pos( + protein: Protein, ligand: Chem.Mol, pos: np.ndarray +) -> Tuple[Protein, Chem.Mol]: + atom_pos = np.zeros_like(protein.atom_pos) + atom_pos[:, 1] = pos[ligand.GetNumAtoms() :] + atom_mask = np.zeros_like(protein.atom_mask) + atom_mask[:, 1] = 1.0 + protein = dataclasses.replace(protein, atom_pos=atom_pos, atom_mask=atom_mask) + ligand = update_mol_positions(ligand, pos[: ligand.GetNumAtoms()]) + return protein, ligand + +def predict_seq( + proba: torch.Tensor +) -> list : + tokens = torch.argmax(torch.softmax((torch.tensor(proba)), dim = -1), dim = -1) + RESIDUE_TYPES_NEW = ["X"] + RESIDUE_TYPES + return "".join(map(lambda i : RESIDUE_TYPES_NEW[i], tokens)).lstrip("X").rstrip("X") + +def update_seq( + protein: Protein, proba: torch.Tensor +) -> Protein: + tokens = torch.argmax(torch.softmax((torch.tensor(proba)), dim = -1), dim = -1) + RESIDUE_TYPES_NEW = ["X"] + RESIDUE_TYPES + sequence = "".join(map(lambda i : RESIDUE_TYPES_NEW[i], tokens)).lstrip("X").rstrip("X") + aatype = np.array([RESIDUE_TYPES.index(s) for s in sequence], dtype=np.int64) + protein = dataclasses.replace(protein, aatype = aatype) + return protein + +def mask_sequence_by_percent(seq, percentage=0.2): + aa_to_replace = random.sample(range(len(seq)), int(len(seq)*percentage)) + + output_aa = [char if idx not in aa_to_replace else 'X' for idx, char in enumerate(seq)] + masked_seq = ''.join(output_aa) + + return masked_seq + +def main(args): + pl.seed_everything(np.random.randint(999999999), workers=True) + + # Check if the directory exists + if os.path.exists(args.output_dir): + # Remove the existing directory + os.rmdir(args.output_dir) + args.output_dir.mkdir(parents=True) + + # Model + model = ProteinReDiffModel.load_from_checkpoint( + args.ckpt_path, num_steps=args.num_steps + ) + model.training_mode = False + model.mask_prob = args.mask_prob + ## (NN) + + # Inputs + proteins, names, masked_sequences = proteins_from_fasta_with_mask(args.fasta, args.mask_prob) + + with open(args.output_dir / "masked_sequences.fasta", "w") as f: + for i, (name, seq) in enumerate(zip(names, masked_sequences)): + f.write(">{}_sample_{}\n".format(name,i%args.num_samples)) + f.write("{}\n".format(seq)) + + if args.ligand_file is None: + ligand_input = ["*"]*len(names) + + ligands = parse_ligands(ligand_input) + else: + ligands = parse_ligands(args.ligand_file) + + # total_num_atoms = len(protein.aatype) + ligand.GetNumAtoms() + # print(f"Total number of atoms: {total_num_atoms}") + # if total_num_atoms > 400: + # warnings.warn("Too many atoms (> 400). May take a long time for sample generation.") + + datas = [] + for name, protein, ligand in zip(names,proteins, ligands): + data = { + **ligand_to_data(ligand), + **protein_to_data(protein, residue_esm=compute_residue_esm(protein, args.accelerator)), + } + datas.extend([data]*args.num_samples) + + + # Generate samples + + trainer = pl.Trainer( + accelerator=args.accelerator, + devices=args.num_gpus, + default_root_dir=args.output_dir, + max_epochs=-1, + strategy='ddp' + + ) + results = trainer.predict( + model, + dataloaders=DataLoader( + InferenceDataset(datas, args.num_samples * len(names)), + batch_size=args.batch_size, + num_workers=args.num_workers, + collate_fn=collate_fn, + ) + ) + + + + #torch.save(results,"results.pt") + positions = [p[0] for p in results] ## (NN) + probabilities = [s[1] for s in results] ## (NN) + + # positions = torch.cat([p[0] for p in results], dim=-1).detach().cpu().numpy() + # probabilities = torch.cat(probabilities, dim=0).detach().cpu().numpy() #(NN) + + + + # with open(args.output_dir / "sample_sequences.fasta", "w") as f: + # for i, (name, seq_prob) in enumerate(zip(names, probabilities)): + # f.write(">{}_sample_{}\n".format(name,i%args.num_samples)) + # sequence = predict_seq(seq_prob.squeeze()) + # f.write("{}\n".format(sequence)) + + # Save samples + # Repeat samples by num_samples + proteins, ligands, names = [protein for protein in proteins for _ in range(args.num_samples)],\ + [ligand for ligand in ligands for _ in range(args.num_samples)], \ + [name for name in names for _ in range(args.num_samples)] + + + for k, (pos, seq_prob, protein, ligand, name) in enumerate(zip(positions, probabilities, proteins, ligands, names)): + sample_protein, sample_ligand = update_pos(protein, ligand, pos.squeeze()) + sample_protein = update_seq(sample_protein, seq_prob.squeeze()) + # if ref_protein is None: + if k % args.num_samples ==0: + warnings.warn( + "Using the first sample as a reference. The resulting structures may be mirror images." + ) + + ref_protein = sample_protein + sample_proteins, sample_ligands = [], [] + tmscores = [] + + + + + + tmscore, t, R = max( + run_tmalign(sample_protein, ref_protein), + run_tmalign(sample_protein, ref_protein, mirror=True), + key=itemgetter(0), + ) + sample_proteins.append( + dataclasses.replace( + sample_protein, atom_pos=t + sample_protein.atom_pos @ R + ) + ) + sample_ligands.append( + update_mol_positions( + sample_ligand, t + get_mol_positions(sample_ligand) @ R + ) + ) + tmscores.append(tmscore) + + #save every same protein batch + if ((k +1) % (args.num_samples)) ==0: + for i, sample_protein in enumerate(sample_proteins): + protein_to_pdb_file(sample_protein, args.output_dir / "sample_protein_{}_model_{}.pdb".format(name, i)) + + + for i, sample_ligand in enumerate(sample_ligands): + with Chem.SDWriter(str(args.output_dir / "sample_ligand_{}_model_{}.sdf".format(name, i))) as w: + w.write(sample_ligand) + + with open(args.output_dir / "sample_tmscores_{}.txt".format(name), "w") as f: + for tmscore in tmscores: + f.write(str(tmscore) + "\n") + + + + +if __name__ == "__main__": + parser = ArgumentParser() + + # parser.add_argument("--seed", type=int, default=1234) + parser.add_argument("--accelerator", type=str, default="gpu") + parser.add_argument("--batch_size", type=int, default=1) + parser.add_argument("--num_gpus", type=int, default=1) + parser.add_argument("--num_workers", type=int, default=torch.get_num_threads()) + parser.add_argument("--num_steps", type=int, default=64) + parser.add_argument("--mask_prob", type=float, default=0.3) + parser.add_argument("--training_mode", action="store_true") + parser.add_argument("-c", "--ckpt_path", type=Path, required=True) + parser.add_argument("-o", "--output_dir", type=Path, required=True) + parser.add_argument("-p", "--fasta", type=str, required=True) + parser.add_argument("-l", "--ligand_file", type=str, default=None) + parser.add_argument("-n", "--num_samples", type=int, default = 1) + args = parser.parse_args() + + main(args) diff --git a/scripts/test_pdb.smiles b/scripts/test_pdb.smiles new file mode 100644 index 0000000..cf03b08 --- /dev/null +++ b/scripts/test_pdb.smiles @@ -0,0 +1,207 @@ +[H]/N=C(/N)NCCC[C@H](NC(=O)[C@H](C)NC(=O)[C@@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CCCC[NH3+])NC(=O)[C@H](C)[NH3+])[C@@H](C)O)C(=O)N[C@@H](CCCC[NH2+]Cc1ccccc1)C(=O)N[C@@H](CO)C(=O)O |(-3.6882,-13.5506,2.0743;-2.684,-13.701,2.171;-2.212,-14.926,2.355;-0.905,-15.117,2.481;-3.044,-15.96,2.414;-2.62,-17.342,2.612;-2.369,-18.057,1.292;-1.915,-19.484,1.527;-1.811,-20.34,0.263;-1.553,-21.727,0.61;-1.825,-22.723,-0.224;-2.379,-22.57,-1.315;-1.399,-24.1,0.25;0.057,-24.358,-0.148;-2.307,-25.092,-0.302;-2.407,-26.306,0.232;-1.68,-26.697,1.149;-3.489,-27.197,-0.361;-3.3,-28.563,0.101;-3.171,-29.591,-0.733;-3.182,-29.458,-1.959;-3.023,-30.967,-0.097;-1.897,-31.769,-0.739;-1.855,-33.232,-0.316;-1.581,-33.413,1.165;-2.539,-33.993,1.877;-0.52,-33.039,1.663;-4.3,-31.661,-0.242;-5.253,-31.599,0.684;-5.115,-30.991,1.75;-6.55,-32.335,0.368;-7.694,-31.341,0.181;-7.887,-30.865,-1.248;-9.145,-30.021,-1.372;-9.655,-30.003,-2.803;-10.901,-29.199,-2.939;-6.868,-33.272,1.437;-6.169,-34.392,1.596;-5.214,-34.695,0.882;-6.613,-35.306,2.732;-6.418,-34.577,4.075;-5.885,-36.568,2.696;-4.875,-26.65,0.019;-5.976,-27.604,-0.421;-4.947,-26.472,1.439;-0.696,-19.835,-0.645;0.47,-20.186,-0.461;-1.054,-19.019,-1.63;-0.048,-18.49,-2.598;-0.462,-18.824,-4.03;0.546,-18.3,-5.047;0.013,-18.409,-6.475;-0.133,-19.859,-6.92;-0.56,-19.983,-8.304;-0.764,-21.39,-8.592;-1.036,-21.706,-10.047;-1.712,-22.877,-10.374;-1.971,-23.189,-11.703;-1.553,-22.33,-12.713;-0.875,-21.16,-12.388;-0.616,-20.848,-11.057;0.1,-17.006,-2.42;-0.859,-16.254,-2.59;1.307,-16.573,-2.068;1.596,-15.151,-1.91;2.618,-14.926,-0.794;2.039,-15.144,0.481;2.107,-14.55,-3.214;2.638,-15.259,-4.067;1.997,-13.345,-3.436)| +C[NH2+][C@@H]1[C@@H](O)[C@@H](O[C@@H]2[C@@H](O)[C@H](O[C@H]3OC(C[NH3+])=CC[C@H]3[NH3+])[C@@H]([NH3+])C[C@H]2[NH3+])OC[C@]1(C)O |(110.684,-8.704,-6.419;111.533,-9.133,-7.555;111.376,-10.575,-7.871;112.756,-11.241,-7.882;113.261,-11.189,-6.557;112.629,-12.699,-8.291;111.817,-13.327,-7.312;112.076,-14.698,-7.012;110.737,-15.408,-7.062;110.252,-15.346,-8.398;110.898,-16.863,-6.65;109.614,-17.47,-6.498;108.91,-17.828,-7.689;109.509,-18.994,-8.261;108.839,-19.63,-9.243;109.611,-20.542,-10.168;110.953,-19.986,-10.397;107.56,-19.447,-9.454;106.716,-18.536,-8.597;107.467,-18.161,-7.31;107.465,-19.262,-6.339;111.587,-16.995,-5.296;111.749,-18.432,-5.017;112.931,-16.276,-5.285;112.685,-14.811,-5.621;113.942,-14.065,-5.553;112.007,-12.807,-9.557;110.701,-12.236,-9.643;110.698,-10.765,-9.227;109.234,-10.316,-9.162;111.428,-9.982,-10.167)| +CCC(CC)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc(CO)cc1 |(74.434,54.402,16.182;72.921,54.306,16.007;72.531,54.497,14.521;73.195,53.445,13.597;72.855,51.996,14.012;70.962,54.405,14.391;70.309,55.46,15.233;69.948,56.748,14.582;70.89,57.845,15.121;70.79,58.98,14.344;70.533,58.183,16.583;69.196,58.914,16.686;68.992,59.343,18.175;68.639,58.288,19.218;68.434,58.693,20.685;68.59,60.16,21.101;68.948,61.22,20.056;69.15,60.818,18.596;71.533,59.099,17.066;72.518,58.707,18.084;72.509,57.645,18.625;73.482,59.707,18.379;74.252,59.556,19.579;75.702,60.091,19.2;75.41,61.656,19.124;74.529,61.903,20.121;73.578,62.703,19.715;72.198,61.853,19.732;72.51,60.62,20.627;73.85,60.417,20.552;69.118,54.84,16.343;68.407,55.915,17.024;69.732,54.009,17.388;67.975,53.829,15.347;68.223,52.322,15.271;67.276,51.463,14.427;66.105,52.134,13.693;65.172,51.271,12.84;65.725,51.278,11.557;65.873,53.65,13.767;66.822,54.512,14.608)| +O=C(NNS(=O)(=O)c1ccccc1)c1cccc(-c2ccccc2)c1 |(5.42,10.085,16.896;5.186,10.785,17.855;4.1,10.581,18.623;3.083,9.472,18.243;3.234,8.014,19.295;2.419,6.918,18.818;4.668,7.59,19.653;2.583,8.46,20.964;3.219,9.463,21.71;2.703,9.7,23.016;1.517,9.047,23.382;0.893,8.089,22.573;1.468,7.767,21.31;6,11.863,18.196;6.202,12.123,19.591;7.024,13.22,19.935;7.576,14.062,18.93;7.262,13.82,17.546;7.749,14.702,16.54;8.146,14.27,15.269;8.647,15.15,14.257;8.802,16.544,14.55;8.375,16.931,15.832;7.933,16.036,16.838;6.458,12.718,17.215)| +Cc1ccc2ncccc2c1-c1cc(-c2c(C)noc2C)cc2[nH]c(C3CC3)nc12 |(5.879,59.028,-7.706;4.793,59.637,-6.854;3.465,59.545,-7.275;2.437,60.092,-6.51;2.68,60.75,-5.312;1.64,61.26,-4.629;1.878,61.9,-3.463;3.136,62.065,-2.928;4.209,61.538,-3.633;4.01,60.858,-4.861;5.066,60.302,-5.635;6.431,60.434,-5.14;7.247,61.516,-5.496;8.554,61.636,-5.016;9.346,62.786,-5.411;9.966,63.792,-4.627;9.992,63.939,-3.157;10.583,64.7,-5.39;10.38,64.281,-6.695;9.631,63.146,-6.711;9.319,62.568,-8.036;9.075,60.665,-4.145;8.269,59.583,-3.777;8.558,58.522,-2.964;7.466,57.794,-2.965;7.328,56.521,-2.18;7.951,56.46,-0.81;8.546,55.671,-1.936;6.473,58.325,-3.734;6.979,59.485,-4.275)| +Cc1cc(-c2noc(=O)[nH]2)ccc1C1=CC(=O)C(O)C(C(=O)O)=N1 |(-24.383,16.366,14.949;-24.159,17.287,16.016;-25.243,17.612,16.821;-25.141,18.487,17.913;-26.255,18.783,18.648;-26.305,19.238,19.909;-27.883,19.425,20.17;-28.457,19.091,19.033;-29.684,19.112,18.82;-27.521,18.728,18.133;-23.883,19.061,18.15;-22.783,18.75,17.331;-22.903,17.853,16.266;-21.818,17.603,15.382;-22.004,17.984,14.046;-21.028,17.826,13.055;-21.288,18.155,11.883;-19.808,17.285,13.447;-18.842,17.086,12.553;-19.573,16.957,14.767;-18.387,16.456,15.248;-18.304,16.417,16.473;-17.393,16.171,14.534;-20.578,17.115,15.728)| +O=C(O)c1ccccc1/C=C/c1cccs1 |(-3.071,-20.311,19.178;-1.978,-20.292,18.57;-1.145,-21.228,18.612;-1.63,-19.062,17.761;-0.392,-18.464,18.018;-0.023,-17.295,17.366;-0.859,-16.729,16.424;-2.09,-17.301,16.148;-2.503,-18.466,16.813;-3.809,-19.075,16.517;-5.006,-18.49,16.52;-6.28,-19.139,16.295;-7.521,-18.514,16.296;-8.598,-19.439,16.07;-8.157,-20.707,15.909;-6.438,-20.832,16.002)| +C[C@H]1CCCN(S(=O)(=O)c2cc(NC(=O)CN3C(=O)CNC3=O)ccc2Br)C1 |(-26.808,46.68,13.26;-26.665,45.436,12.4;-27.758,45.355,11.347;-27.565,44.146,10.448;-26.209,44.189,9.805;-25.194,44.22,10.865;-23.74,43.549,10.571;-23.991,42.394,9.771;-23.102,43.4,11.842;-22.741,44.65,9.58;-23.358,45.792,9.093;-22.652,46.699,8.308;-23.232,47.886,7.798;-24.511,48.314,7.888;-25.416,47.699,8.45;-24.753,49.658,7.225;-26.102,50.186,7.344;-26.596,50.875,8.465;-25.96,51.099,9.491;-28.016,51.252,8.141;-28.174,50.711,6.807;-27.063,50.105,6.35;-26.904,49.562,5.262;-21.314,46.452,8.009;-20.69,45.312,8.483;-21.395,44.408,9.263;-20.448,42.88,9.869;-25.303,45.412,11.721)| +[H]/N=C(/N)NCCC[C@H](NC(=O)[C@H](C)NC(=O)[C@H](CCCN/C(N)=N\[H])NC(=O)[C@H](CC(C)C)NC(=O)[C@@H]1CCCN1C(=O)[C@@H](NC(C)=O)C(C)C)C(=O)N[C@@H](CC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H](CO)C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@H](C(=O)N[C@@H](CCC(=O)O)C(=O)N1CCC[C@H]1C(N)=O)[C@@H](C)O |(-8.4073,19.1397,12.8189;-7.693,18.417,12.908;-7.293,18.024,14.111;-6.36,17.084,14.21;-7.821,18.57,15.205;-7.459,18.218,16.58;-8.553,18.619,17.549;-8.202,18.367,19.012;-9.419,18.307,19.967;-10.257,19.504,19.828;-11.576,19.53,20.081;-12.194,18.535,20.472;-12.322,20.881,19.883;-13.44,20.727,18.866;-11.461,22.013,19.5;-10.908,22.892,20.362;-11.035,22.796,21.582;-10.043,24.044,19.773;-10.794,25.384,19.811;-10.804,26.023,21.2;-10.922,27.53,21.147;-9.618,28.187,21.239;-8.902,28.606,20.195;-7.727,29.199,20.383;-9.356,28.438,18.957;-10.2571,27.9862,18.8012;-9.517,23.766,18.429;-8.599,22.802,18.187;-8.175,22.042,19.056;-8.173,22.554,16.744;-7,23.436,16.347;-5.794,22.685,15.79;-4.903,23.608,15.007;-4.998,22,16.893;-9.282,22.621,15.794;-10.395,21.872,15.972;-10.562,21.124,16.939;-11.496,21.955,14.925;-12.682,22.786,15.446;-13.863,22.124,14.936;-13.548,20.662,14.918;-12.096,20.627,14.662;-11.296,19.568,14.29;-10.079,19.711,14.094;-11.923,18.172,13.987;-11.361,17.612,12.75;-11.524,18.147,11.543;-10.869,17.38,10.402;-12.156,19.186,11.328;-11.821,17.124,15.155;-10.463,16.417,15.191;-12.198,17.699,16.522;-8.95,18.11,21.424;-8.882,19.075,22.192;-8.605,16.86,21.784;-8.143,16.442,23.116;-8.337,14.893,23.282;-7.828,14.217,24.552;-7.869,14.91,25.696;-7.404,13.046,24.52;-6.706,16.939,23.37;-5.728,16.192,23.239;-6.587,18.24,23.693;-5.299,18.902,23.942;-4.947,19.865,22.78;-4.926,19.312,21.366;-5.026,20.414,20.362;-3.709,18.483,21.125;-5.376,19.705,25.246;-6.46,20.24,25.519;-4.251,19.865,26.026;-2.905,19.278,25.861;-2.331,19.349,27.254;-2.866,20.617,27.785;-4.31,20.655,27.275;-4.828,22.084,27.08;-4.621,22.643,25.999;-5.551,22.66,28.084;-5.897,22.095,29.406;-7.058,22.926,29.828;-6.775,24.281,29.279;-6.134,24.012,27.919;-5.161,25.128,27.555;-5.576,26.134,26.968;-3.869,24.94,27.912;-2.757,25.853,27.685;-1.531,25.358,28.435;-1.237,24.027,28.051;-2.419,25.989,26.212;-1.817,26.989,25.814;-2.783,24.981,25.399;-2.536,24.993,23.96;-3.113,23.749,23.308;-2.535,23.44,21.954;-2.987,24.101,20.819;-2.475,23.79,19.566;-1.522,22.808,19.441;-1.055,22.15,20.552;-1.574,22.45,21.803;-3.134,26.239,23.323;-2.497,26.839,22.45;-4.326,26.653,23.814;-5.062,27.82,23.333;-6.556,27.483,23.136;-6.782,26.075,22.625;-6.459,25.732,21.314;-6.573,24.409,20.87;-7.018,23.429,21.732;-7.353,23.752,23.03;-7.221,25.07,23.481;-4.854,29.055,24.209;-5.278,30.139,23.814;-4.139,28.911,25.354;-3.83,30.02,26.278;-2.344,30.442,26.206;-1.482,29.869,26.9;-2.076,31.486,25.395;-0.757,32.075,25.204;-0.839,33.258,24.215;0.52,33.878,23.903;0.614,35.064,22.96;1.758,35.487,22.675;-0.44,35.571,22.51;-0.153,32.52,26.55;-0.873,33.146,27.335;1.141,32.207,26.843;2.116,31.437,26.043;3.079,30.948,27.063;3.1,31.949,28.155;1.74,32.664,28.113;1.907,34.186,28.167;2,34.75,29.376;1.895,34.849,27.131;-4.29,29.713,27.727;-4.163,30.918,28.65;-5.639,29.229,27.73)| +[H]/N=C(/N)NCCC[C@@H](C=O)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@](C)(CCCC)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CCC(=O)O)NC(=O)[C@H](CCCN/C(N)=N\[H])NC(=O)[C@H](CO)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](CCCN/C(N)=N\[H])NC(=O)[C@H](C)[NH3+] |(36.8217,92.7932,85.3233;36.167,92.011,85.32;36.599,90.78,85.587;35.733,89.754,85.594;37.888,90.595,85.855;38.485,89.301,86.148;39.928,89.417,86.592;40.658,88.099,86.421;41.105,87.772,84.98;42.051,88.862,84.406;41.676,89.483,83.429;41.695,86.434,84.938;42.004,85.816,83.799;41.793,86.285,82.682;42.677,84.461,83.952;41.631,83.44,84.382;40.62,83.104,83.286;39.547,82.143,83.758;38.838,81.532,82.808;39.351,81.952,84.962;43.79,84.553,84.903;44.76,85.441,84.714;44.863,86.085,83.677;45.759,85.655,85.838;46.958,84.714,85.691;48.152,85.13,86.505;48.869,86.284,86.176;49.965,86.68,86.932;50.365,85.922,88.025;49.662,84.769,88.359;48.561,84.384,87.601;45.179,85.483,87.174;44.332,86.302,87.703;43.914,87.324,87.117;43.787,86.018,89.114;42.496,86.8,89.413;44.786,86.282,90.254;46.014,87.137,89.974;45.687,88.612,90.091;46.784,89.467,89.492;43.493,84.594,89.236;42.627,83.847,88.529;41.95,84.316,87.64;42.533,82.339,88.842;41.375,82.055,89.798;40.81,80.632,89.72;39.847,80.401,90.87;40.134,80.353,88.376;43.788,81.744,89.363;44.902,81.718,88.639;44.984,82.23,87.517;46.128,81.059,89.287;46.024,79.53,89.235;47.309,78.759,89.585;47.013,77.271,89.683;48.431,79.007,88.582;46.314,81.55,90.656;46.67,82.815,90.898;46.931,83.614,90;46.748,83.256,92.37;48.123,82.907,92.935;48.405,83.503,94.315;49.629,82.903,95.008;50.136,83.617,96.004;50.112,81.823,94.655;45.672,82.669,93.193;44.385,82.947,92.97;44.022,83.735,92.125;43.338,82.218,93.812;43.157,82.891,95.19;41.827,82.56,95.884;41.679,81.094,96.303;40.615,80.498,96.02;42.624,80.534,96.905;43.676,80.809,93.959;43.616,79.948,92.954;43.377,80.271,91.803;43.855,78.499,93.322;42.565,77.965,93.996;41.386,77.785,93.027;39.986,77.956,93.629;39.498,76.729,94.248;39.686,76.372,95.529;40.324,77.169,96.401;39.21,75.201,95.957;38.7096,74.588,95.3134;45.031,78.354,94.203;46.228,78.9,93.955;46.532,79.497,92.895;47.248,78.76,95.081;46.87,79.669,96.259;46.864,81.034,95.868;48.592,79.073,94.583;49.23,78.232,93.773;48.805,77.106,93.491;50.518,78.711,93.156;50.245,79.036,91.686;51.433,79.532,90.897;51.744,80.889,90.825;52.832,81.341,90.079;53.623,80.424,89.396;54.716,80.824,88.663;53.33,79.073,89.465;52.235,78.643,90.195;51.47,77.616,93.273;52.715,77.795,93.683;53.177,78.893,93.945;53.565,76.537,93.803;53.455,75.99,95.232;54.021,74.581,95.398;55.407,74.556,96.029;55.347,74.44,97.49;56.407,74.333,98.297;57.65,74.336,97.809;56.225,74.232,99.612;55.2809,74.2366,99.998;54.966,76.816,93.447;55.667,76.096,92.569;55.218,75.11,91.98;57.116,76.539,92.335;57.347,76.843,90.84;58.085,75.506,92.834)| +O=C(c1ccc2c(c1)CS(=O)(=O)N2)N1CCc2[nH]c(-c3ccccc3)nc(=O)c2C1 |(-60.61,29.857,-23.705;-61.778,29.596,-24.107;-62.935,30.359,-23.526;-62.997,30.601,-22.123;-64.119,31.197,-21.505;-65.184,31.619,-22.305;-65.148,31.408,-23.698;-64.024,30.792,-24.331;-66.38,31.911,-24.424;-67.478,32.54,-23.089;-68.595,31.566,-22.951;-67.712,33.987,-23.138;-66.337,32.233,-21.88;-61.994,28.666,-25.096;-63.269,28.042,-25.551;-63.534,28.365,-27.024;-62.293,28.145,-27.85;-62.484,27.963,-29.206;-61.329,27.774,-29.979;-61.566,27.53,-31.42;-62.591,26.548,-31.678;-62.932,26.167,-32.985;-62.199,26.8,-34.024;-61.172,27.769,-33.774;-60.814,28.135,-32.456;-60.093,27.734,-29.515;-59.852,27.871,-28.136;-58.719,27.843,-27.612;-61.045,28.101,-27.302;-60.783,28.266,-25.83)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4ccc(F)c(C)c4)nn3)[C@H]2O)cc1 |(-25.573,9.02,-5.743;-24.429,9.322,-4.728;-24.072,10.638,-4.39;-23.049,10.94,-3.476;-22.334,9.951,-2.843;-21.037,10.285,-1.671;-19.97,8.823,-1.68;-20.481,7.888,-0.752;-19.883,6.595,-0.916;-20.587,5.646,0.085;-21.915,5.495,-0.354;-18.384,6.731,-0.602;-18.198,7.115,0.736;-17.792,7.856,-1.533;-16.408,7.988,-1.291;-15.777,8.394,-0.138;-14.422,8.348,-0.422;-13.316,8.607,0.424;-13.448,8.479,1.817;-12.385,8.676,2.674;-11.153,8.991,2.11;-10.1,9.177,2.975;-10.935,9.107,0.754;-9.62,9.45,0.271;-12.038,8.899,-0.064;-14.352,7.911,-1.739;-15.494,7.709,-2.229;-18.528,9.191,-1.359;-18.039,10.004,-2.418;-22.656,8.632,-3.156;-23.683,8.33,-4.078)| +CC(C)[NH+]1CCN(c2ccc(/C(=C(/CCCO)c3ccccc3)c3cccc(O)c3)cc2)CC1 |(72.275,-5.993,156.75;71.333,-6.793,155.794;71.813,-8.27,155.762;71.299,-6.224,154.581;70.778,-4.935,154.63;70.344,-4.278,153.322;69.731,-5.157,152.352;69.171,-4.562,151.092;68.723,-3.236,151.122;68.188,-2.65,149.967;68.105,-3.411,148.805;67.56,-2.709,147.564;66.576,-3.233,146.798;66.121,-2.363,145.565;64.94,-2.85,144.717;64.309,-1.586,144.088;64.088,-1.834,142.719;65.875,-4.602,147.122;66.222,-5.814,146.412;65.597,-7.094,146.69;64.647,-7.007,147.689;64.179,-5.956,148.464;64.846,-4.709,148.136;68.279,-1.312,147.251;67.548,-0.126,147.118;68.167,1.111,146.851;69.538,1.167,146.727;70.288,0.002,146.867;71.676,0.125,146.739;69.677,-1.235,147.135;68.558,-4.744,148.776;69.103,-5.332,149.923;70.533,-6.352,152.248;70.792,-7.044,153.587)| +OC[C@H]1O[C@@H](SC[C@H](O)Cn2cc(-c3cccc(F)c3)nn2)[C@H](O)[C@@H](n2cc(-c3cccc(F)c3)nn2)[C@H]1O |(-21.776,5.129,-0.507;-20.415,5.295,-0.192;-19.882,6.44,-1.091;-20.509,7.639,-0.677;-20.159,8.76,-1.481;-21.093,10.162,-0.826;-22.766,9.636,-1.175;-23.749,9.928,-0.053;-23.357,9.237,1.103;-25.119,9.377,-0.503;-26.242,9.725,0.348;-26.807,8.925,1.352;-27.851,9.637,1.92;-28.785,9.305,3;-28.619,8.181,3.807;-29.498,7.853,4.848;-30.616,8.624,5.137;-30.782,9.752,4.325;-31.841,10.537,4.556;-29.912,10.093,3.29;-27.864,10.849,1.211;-26.956,10.886,0.305;-18.689,9.055,-1.255;-18.219,10.044,-2.134;-17.872,7.796,-1.649;-16.433,7.954,-1.55;-15.701,8.281,-0.427;-14.362,8.315,-0.804;-13.185,8.563,-0.055;-11.941,8.772,-0.672;-10.771,8.997,0.061;-10.773,9.014,1.457;-12.016,8.779,2.039;-12.043,8.727,3.386;-13.197,8.526,1.339;-14.366,7.971,-2.158;-15.555,7.784,-2.583;-18.372,6.573,-0.844;-18.14,6.807,0.55)| +CS(=O)(=O)c1ccc(N[C@@H](c2cccc(Cl)c2)c2ccccn2)c(Nc2ncccn2)c1 |(26.678,-11.142,9.08;27.64,-12.514,9.752;27.069,-12.941,11.024;27.904,-13.482,8.716;29.174,-11.744,10.15;30.139,-11.618,9.14;31.327,-10.955,9.423;31.588,-10.479,10.721;32.784,-9.934,11.016;33.862,-9.811,10.046;33.589,-8.66,9.059;33.107,-7.412,9.495;32.924,-6.346,8.575;33.253,-6.53,7.221;33.79,-7.768,6.797;34.217,-8.064,5.114;33.943,-8.825,7.71;35.202,-9.505,10.718;36.438,-9.788,10.113;37.615,-9.438,10.799;37.547,-8.845,12.071;36.287,-8.59,12.632;35.169,-8.924,11.942;30.629,-10.612,11.74;30.899,-10.048,12.965;30.539,-10.427,14.227;30.922,-9.615,15.253;30.61,-9.894,16.553;29.856,-11.047,16.85;29.462,-11.872,15.773;29.803,-11.541,14.496;29.402,-11.236,11.432)| +Cc1cc(C[NH3+])cc(C)c1-c1ncn(C)c1-c1ccnc2cc(F)ccc12 |(-6.974,7.195,-20.911;-5.875,7.35,-21.933;-6.219,7.709,-23.233;-5.268,7.893,-24.228;-5.68,8.277,-25.623;-4.805,9.323,-26.214;-3.934,7.68,-23.906;-3.529,7.289,-22.632;-2.055,7.098,-22.373;-4.513,7.14,-21.63;-4.122,6.71,-20.263;-4.475,5.443,-19.812;-4.012,5.365,-18.583;-3.346,6.474,-18.192;-2.726,6.687,-16.886;-3.417,7.376,-19.286;-2.84,8.737,-19.263;-3.701,9.812,-19.281;-3.182,11.094,-19.191;-1.89,11.384,-19.15;-1.006,10.33,-19.144;0.377,10.623,-19.086;1.267,9.595,-19.073;2.594,9.879,-18.958;0.893,8.266,-19.097;-0.433,7.953,-19.19;-1.427,8.971,-19.188)| +C/C(=C\CO[P@@](=O)(O)OP(=O)(O)O)CO |(46.783,152.977,60.243;47.742,152.119,59.493;47.747,150.785,59.527;46.76,149.878,60.178;45.838,149.321,59.21;44.551,148.531,59.758;43.839,149.305,60.82;43.824,148.158,58.503;45.254,147.257,60.47;46.304,146.047,60.085;46.654,146.349,58.632;45.499,144.768,60.341;47.544,146.113,61.001;48.801,152.86,58.612;49.42,151.996,57.659)| +O=C(c1ccc([N+](=O)[O-])cc1[N+](=O)[O-])N1CC[NH+](Cc2ccc(F)cc2)CC1 |(31.994,20.374,94.5;31.802,19.424,95.197;32.993,18.966,96.101;34.291,18.85,95.613;35.328,18.496,96.497;35.055,18.284,97.864;36.059,17.931,98.89;37.166,17.596,98.628;35.663,18.045,100.236;33.773,18.428,98.34;32.75,18.775,97.472;31.481,18.907,98.042;30.906,19.897,97.949;30.961,17.842,98.755;30.432,18.868,95.203;29.448,19.5,94.332;28.28,19.79,95.24;27.819,18.631,95.744;26.768,18.886,96.392;25.814,17.67,96.213;24.464,17.873,96.316;23.56,16.78,96.157;24.074,15.479,95.901;23.22,14.481,95.763;25.425,15.267,95.79;26.325,16.359,95.947;28.632,17.921,96.543;30.062,17.729,96.026)| +CCC(CC)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@@H](O)CO)cc1 |(74.396,54.206,16.63;73.159,54.759,15.911;72.276,53.62,15.339;73.068,52.624,14.436;73.547,53.307,13.138;71.08,54.222,14.505;70.206,55.165,15.303;69.822,56.463,14.622;70.789,57.562,15.124;70.599,58.664,14.328;70.484,57.897,16.589;69.112,58.572,16.705;68.882,59.03,18.163;68.5,58.003,19.221;68.283,58.447,20.666;68.428,59.918,21.039;68.802,60.942,19.977;69.025,60.504,18.531;71.492,58.833,17.027;72.447,58.492,18.082;72.431,57.44,18.655;73.358,59.555,18.328;74.328,59.434,19.464;75.412,59.786,19.037;75.277,61.311,18.961;74.381,61.633,20.114;73.145,62.562,19.577;72.053,61.863,19.644;72.316,60.74,20.623;73.894,60.559,20.553;68.973,54.513,16.378;69.603,53.835,17.521;68.08,55.583,16.846;68.145,53.311,15.294;67.089,53.788,14.335;66.48,52.739,13.417;66.972,51.299,13.518;66.378,50.289,12.559;65.623,50.978,11.645;67.577,49.748,11.773;68.436,50.813,11.392;68.063,50.852,14.47;68.659,51.892,15.393)| +Nc1ncnc2c1ncn2[C@@H]1O[C@H](CO[P@](=O)(O)OP(=O)(O)O)[C@@H](OP(=O)(O)O)[C@H]1O |(32.053,-19.466,36.274;31.761,-20.261,37.316;30.513,-20.316,37.804;30.156,-21.103,38.856;31.032,-21.931,39.496;32.318,-21.94,39.096;32.78,-21.114,37.954;34.092,-21.373,37.781;34.452,-22.276,38.748;33.371,-22.607,39.513;33.247,-23.553,40.639;32.858,-22.928,41.857;33.468,-23.644,42.942;34.209,-22.626,43.76;35.496,-22.518,43.153;36.737,-22.165,44.123;37.636,-21.17,43.49;37.348,-23.516,44.508;36.113,-21.481,45.443;35.895,-19.916,45.792;34.792,-19.316,44.991;35.437,-19.875,47.337;37.191,-19.102,45.831;34.392,-24.69,42.32;33.761,-25.942,42.173;33.866,-27.189,43.183;32.835,-26.822,44.217;33.483,-28.456,42.44;35.255,-27.399,43.776;34.518,-24.31,40.865;34.426,-25.481,40.05)| +[H]/N=C(/N)NCCC[C@@H](C=O)NC(=O)[C@H](CO)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](CCCN/C(N)=N\[H])NC(C)=O |(-27.6115,11.575,2.4189;-27.852,11.036,1.587;-27.976,9.716,1.664;-28.303,9.039,0.569;-27.794,9.058,2.811;-27.399,9.664,4.079;-25.89,9.859,4.052;-25.291,10.301,5.38;-23.791,10.635,5.287;-23.566,11.758,4.266;-23.116,11.471,3.147;-23.243,10.997,6.593;-21.976,11.385,6.745;-21.14,11.376,5.82;-21.592,11.88,8.139;-22.193,13.269,8.371;-21.8,14.182,7.351;-20.144,11.934,8.247;-19.399,10.837,8.322;-19.855,9.717,8.56;-17.906,11.031,8.085;-17.577,10.615,6.646;-16.103,10.643,6.332;-15.416,11.851,6.185;-14.047,11.871,5.905;-13.36,10.676,5.779;-12.01,10.67,5.512;-14.024,9.473,5.923;-15.384,9.461,6.198;-17.106,10.284,9.07;-16.284,10.893,9.928;-16.094,12.11,9.939;-15.559,9.999,10.934;-14.539,9.1,10.222;-13.473,9.864,9.446;-12.374,8.949,8.94;-11.452,8.549,10.001;-10.401,7.744,9.836;-10.11,7.23,8.637;-9.636,7.446,10.881;-9.8545,7.8319,11.7996;-16.534,9.177,11.722;-17.355,9.587,12.731;-17.352,11.043,13.207;-18.112,8.782,13.296)| +O=C(O)c1ccc2c(c1)nc(Nc1cccc(Cl)c1)c1ccncc12 |(12.433,7.605,-18.025;13.335,6.906,-17.612;14.449,6.648,-18.297;13.278,6.269,-16.261;14.244,5.381,-15.956;14.255,4.791,-14.698;13.246,5.093,-13.72;12.254,6.004,-14.07;12.256,6.62,-15.289;11.278,6.36,-13.184;11.222,5.837,-11.936;10.12,6.268,-11.063;9.11,7.288,-11.357;8.61,8.091,-10.338;7.579,9.063,-10.631;7.072,9.192,-11.905;7.589,8.368,-12.909;7.029,8.405,-14.585;8.607,7.401,-12.591;12.166,4.889,-11.513;12.121,4.288,-10.22;13.066,3.379,-9.853;14.081,3.05,-10.717;14.149,3.587,-11.947;13.215,4.493,-12.399)| +CCNC(=O)c1noc(-c2cc(C(C)C)c(O)cc2O)c1-c1ccc(C[NH+]2CCOCC2)cc1 |(12.373,-20.183,-24.033;13.677,-20.979,-24.11;13.912,-21.632,-22.842;14.803,-22.763,-22.811;15.305,-23.13,-23.826;15.053,-23.466,-21.48;15.124,-22.87,-20.256;15.375,-23.875,-19.281;15.457,-25.042,-19.946;15.697,-26.285,-19.368;14.801,-27.336,-19.582;15.049,-28.563,-18.991;14.103,-29.742,-19.179;12.665,-29.323,-18.754;14.028,-30.199,-20.627;16.188,-28.718,-18.214;16.471,-29.948,-17.674;17.072,-27.684,-17.996;16.82,-26.451,-18.567;17.682,-25.356,-18.381;15.266,-24.814,-21.318;15.339,-25.766,-22.351;16.499,-26.513,-22.492;16.598,-27.464,-23.507;15.545,-27.672,-24.383;15.662,-28.736,-25.508;14.664,-29.799,-25.369;14.678,-30.306,-24.035;14.553,-31.823,-23.908;13.753,-32.46,-24.893;13.933,-31.991,-26.222;14.91,-30.808,-26.368;14.394,-26.914,-24.245;14.285,-25.959,-23.25)| +CCn1c2ccc(C[NH2+]C)cc2c2ccc(-c3ccc(C)s3)cc21 |(93.429,92.822,-41.651;91.924,93.103,-41.683;91.615,94.296,-42.45;91.555,95.617,-41.993;91.777,96.152,-40.71;91.668,97.538,-40.515;91.322,98.403,-41.583;91.202,99.898,-41.367;89.835,100.252,-40.94;89.633,101.7,-40.693;91.111,97.866,-42.868;91.222,96.477,-43.08;91.071,95.646,-44.228;90.751,95.884,-45.576;90.676,94.814,-46.479;90.912,93.481,-46.076;90.851,92.379,-47.042;90.448,92.393,-48.356;90.557,91.123,-48.99;91.052,90.145,-48.167;91.287,88.714,-48.527;91.392,90.786,-46.579;91.251,93.245,-44.727;91.317,94.31,-43.811)| +COc1cc(/C=C/C=O)ccc1O |(-22.217,12.739,-17.166;-22.215,11.861,-16.049;-22.459,12.408,-14.776;-22.625,13.779,-14.532;-22.86,14.213,-13.227;-23.048,15.678,-12.894;-22.885,16.644,-13.813;-23.097,18.076,-13.382;-23.022,18.976,-14.199;-22.942,13.316,-12.171;-22.767,11.968,-12.411;-22.534,11.527,-13.703;-22.359,10.174,-13.984)| +O=C([O-])C1=NC(c2cccc(-c3nnn[nH]3)c2)=CC(=O)C1O |(-17.402,15.615,135.389;-18.125,16.241,136.199;-17.974,16.03,137.428;-19.156,17.069,135.727;-19.88,17.822,136.672;-20.947,18.648,136.274;-21.683,19.419,137.201;-21.31,19.58,138.545;-22.099,20.367,139.398;-23.262,21.007,138.951;-23.658,20.869,137.615;-24.781,21.448,137.088;-25.193,21.358,135.807;-26.262,22.002,135.662;-26.589,22.516,136.773;-25.691,22.191,137.713;-22.853,20.075,136.78;-21.276,18.688,134.91;-20.592,17.957,133.947;-20.962,18.061,132.771;-19.519,17.15,134.354;-18.839,16.418,133.393)| +O=C(O)c1cccc(C#Cc2ccccc2)c1-n1cccc1 |(-12.421,-31.431,-14.597;-11.503,-30.637,-14.915;-11.711,-29.488,-15.393;-10.069,-31.085,-14.73;-9.307,-30.38,-13.818;-7.997,-30.714,-13.6;-7.439,-31.779,-14.289;-8.215,-32.465,-15.193;-7.558,-33.589,-15.936;-6.968,-34.464,-16.433;-6.218,-35.62,-17.023;-5.252,-35.384,-17.979;-4.575,-36.467,-18.502;-4.884,-37.731,-18.058;-5.864,-37.952,-17.112;-6.535,-36.877,-16.577;-9.531,-32.147,-15.454;-10.289,-32.815,-16.347;-10.87,-32.201,-17.374;-11.602,-33.133,-18.092;-11.456,-34.349,-17.434;-10.617,-34.107,-16.354)| +Cc1noc(C)c1-c1ncn(C)c1-c1ccnc2cc(F)ccc12 |(-2.232,8.325,-23.013;-3.702,8.06,-22.986;-4.42,8.313,-24.042;-5.761,7.97,-23.699;-5.786,7.546,-22.422;-7.11,7.14,-21.888;-4.516,7.583,-21.911;-4.101,7.205,-20.551;-4.465,5.965,-20.051;-3.978,5.943,-18.831;-3.274,7.058,-18.508;-2.655,7.328,-17.214;-3.358,7.904,-19.619;-2.8,9.273,-19.658;-3.666,10.342,-19.725;-3.15,11.63,-19.724;-1.859,11.924,-19.68;-0.972,10.872,-19.673;0.411,11.171,-19.637;1.301,10.143,-19.598;2.63,10.426,-19.521;0.929,8.815,-19.61;-0.398,8.5,-19.629;-1.391,9.514,-19.625)| +CC(=O)NCc1onc(C)c1-c1ccc(C)c(S(=O)(=O)NC2CCCC2)c1 |(34.507,6.644,73.552;33.386,7.641,73.714;32.373,7.554,73.031;33.617,8.63,74.665;32.636,9.684,74.936;31.648,9.186,75.925;30.639,8.398,75.452;29.82,8.003,76.52;30.351,8.56,77.612;29.75,8.376,78.957;31.506,9.312,77.286;32.381,10.08,78.141;33.76,9.853,78.165;34.57,10.626,79.001;34.025,11.618,79.838;34.984,12.389,80.705;32.63,11.827,79.804;31.787,13.034,80.821;32.159,12.734,82.188;30.388,13.018,80.429;32.465,14.498,80.311;31.932,15.19,79.123;31.197,16.442,79.597;32.353,17.357,79.987;33.444,17.083,78.958;33.091,15.748,78.306;31.82,11.063,78.956)| +CC=CCn1cc(-c2cccc(C(=O)N(C)C)c2)c2cc[nH]c2c1=O |(7.769,8.201,85.176;6.711,8.01,84.122;5.573,7.477,84.45;4.558,7.321,83.382;3.296,7.995,83.715;3.204,9.362,83.665;2.023,10.003,83.921;1.934,11.498,83.884;0.805,12.176,83.386;0.757,13.571,83.389;1.83,14.292,83.92;2.967,13.629,84.411;4.126,14.357,84.994;4.362,14.268,86.195;4.946,15.123,84.272;6.073,15.763,84.982;4.76,15.268,82.826;3.007,12.231,84.405;0.838,9.186,84.262;-0.521,9.453,84.591;-1.159,8.27,84.806;-0.261,7.258,84.631;0.976,7.787,84.308;2.232,7.222,84.016;2.357,6.012,84.056)| +CC(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](Cc1c[nH]c2ccccc12)C(=O)N[C@@H](Cc1c[nH]c2ccccc12)C(=O)N1CCC[C@H]1C(=O)N[C@@H](CC(=O)[O-])C(=O)[O-] |(-3.293,4.373,2.494;-3.525,5.815,2.81;-4.068,6.114,3.83;-2.942,6.711,2.06;-2.931,8.104,2.408;-2.114,8.961,1.426;-0.762,9.582,1.711;-0.422,10.605,0.626;-0.64,10.262,3.048;-4.335,8.654,2.408;-4.632,9.476,3.21;-5.136,8.35,1.542;-6.449,8.949,1.334;-6.736,9.018,-0.169;-5.924,10.077,-0.892;-4.828,9.89,-1.695;-4.38,11.099,-2.176;-5.18,12.094,-1.683;-5.127,13.468,-1.891;-6.078,14.233,-1.27;-7.053,13.666,-0.461;-7.107,12.299,-0.248;-6.16,11.489,-0.87;-7.549,8.225,2.102;-8.734,8.343,1.779;-7.18,7.516,3.149;-8.136,6.777,3.94;-7.965,5.278,3.694;-8.352,4.867,2.331;-7.518,4.648,1.281;-8.242,4.291,0.169;-9.573,4.276,0.492;-10.685,3.978,-0.289;-11.913,4.048,0.309;-12.051,4.407,1.656;-10.947,4.701,2.435;-9.68,4.639,1.851;-7.878,7.08,5.404;-6.76,7.449,5.777;-8.898,6.97,6.248;-10.321,6.702,5.959;-10.888,6.387,7.313;-10.097,7.164,8.265;-8.68,7.202,7.672;-7.798,6.12,8.278;-7.655,5.022,7.738;-7.203,6.452,9.429;-6.433,5.484,10.216;-5.186,6.138,10.806;-4.279,6.716,9.762;-3.836,7.865,9.954;-4.026,6.031,8.742;-7.26,4.939,11.379;-8.362,5.401,11.7;-6.823,4.015,12.052)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4c(F)c(F)c(N=[N+]=[N-])c(F)c4F)nn3)[C@H]2O)cc1 |(-25.76,8.802,-4.992;-24.55,9.068,-4.127;-23.552,8.122,-3.965;-22.445,8.366,-3.171;-22.31,9.58,-2.51;-20.91,9.943,-1.473;-19.858,8.449,-1.58;-20.304,7.477,-0.64;-19.59,6.234,-0.733;-20.222,5.273,0.25;-21.589,5.015,-0.073;-18.102,6.492,-0.466;-17.952,6.968,0.868;-17.566,7.513,-1.473;-16.129,7.779,-1.318;-15.447,8.162,-0.266;-14.143,8.285,-0.666;-12.947,8.669,0.081;-11.861,9.256,-0.542;-11.919,9.493,-1.862;-10.736,9.621,0.16;-9.721,10.188,-0.519;-10.627,9.395,1.529;-9.487,9.748,2.325;-8.593,10.469,1.834;-7.873,11.124,1.258;-11.721,8.803,2.148;-11.692,8.573,3.474;-12.844,8.446,1.439;-13.879,7.873,2.071;-14.081,7.942,-1.98;-15.295,7.642,-2.378;-18.387,8.808,-1.398;-18.024,9.745,-2.419;-23.301,10.536,-2.671;-24.402,10.274,-3.468)| +[N-]=[N+]=N[C@@H]1[C@H](O)[C@@H](COP(=O)(O)O)O[C@H]1n1ccc(=O)[nH]c1=O |(13.92,-23.793,-29.267;12.917,-23.36,-29.002;11.923,-22.892,-28.762;11.3,-22.915,-27.423;9.987,-22.171,-27.071;10.068,-20.807,-27.481;10.069,-22.275,-25.529;8.695,-22.211,-24.851;8.408,-20.825,-24.622;8.403,-20.126,-23.168;9.294,-20.87,-22.251;8.932,-18.61,-23.295;6.906,-20.108,-22.579;10.842,-23.468,-25.253;12.001,-23.11,-26.046;13.227,-23.923,-25.966;14.378,-23.191,-26.046;15.581,-23.785,-25.975;15.63,-25.186,-25.805;16.713,-25.741,-25.738;14.476,-25.885,-25.719;13.279,-25.261,-25.793;12.256,-25.915,-25.714)| +Cc1noc(C)c1-c1ncn(C)c1-c1ccncc1 |(-2.103,8.75,-23.156;-3.558,8.415,-23.184;-4.254,8.69,-24.25;-5.573,8.243,-23.988;-5.625,7.746,-22.738;-6.946,7.238,-22.292;-4.375,7.802,-22.177;-4,7.354,-20.853;-4.349,6.083,-20.42;-3.94,6.02,-19.173;-3.279,7.125,-18.763;-2.72,7.346,-17.433;-3.359,8.046,-19.835;-2.775,9.404,-19.802;-1.437,9.601,-19.476;-0.931,10.889,-19.483;-1.654,11.967,-19.812;-2.936,11.762,-20.149;-3.534,10.515,-20.164)| +CC1(C)c2[nH]c3cc(Cl)c(Cl)cc3c2C[C@@]23C[N@@H+]4CC=C[C@]4(C[C@@H]12)C(=O)N3 |(0.192,58.651,113.935;1.181,59.676,114.574;0.342,60.752,115.336;1.935,60.409,113.407;1.438,61.275,112.478;2.482,61.698,111.607;2.5,62.585,110.493;3.713,62.809,109.808;3.803,63.907,108.405;4.907,62.171,110.211;6.406,62.509,109.295;4.898,61.295,111.312;3.678,61.063,112.006;3.337,60.241,113.14;4.257,59.3,114.033;3.745,59.351,115.482;3.996,60.756,116.179;3.175,60.905,117.288;3.741,61.538,118.343;2.911,61.012,119.64;2.267,59.775,119.228;2.657,59.563,117.812;1.642,58.97,116.898;2.114,58.885,115.575;3.939,58.612,117.636;4.474,58.061,118.55;4.381,58.496,116.317)| +CC(C)(C[C@H]([NH3+])C(=O)O)C(F)F |(-28.817,54.794,74.307;-28.664,55.764,75.476;-27.215,55.698,75.97;-29.615,55.475,76.635;-29.8,54.004,76.96;-30.74,53.351,76.017;-30.36,53.919,78.344;-31.068,52.983,78.682;-30.102,54.88,79.225;-29.064,57.178,75.032;-28.527,58.008,75.975;-28.668,57.517,73.758)| +CCCCn1c(Cc2cc(OC)c(OC)c(OC)c2)nc2c(N)ncnc21 |(4.932,6.607,23.652;4.715,7.942,24.362;3.33,8.203,24.933;3.159,9.553,25.657;1.976,10.242,25.054;1.941,10.936,23.927;3.142,11.143,22.987;4.287,11.78,23.606;4.17,12.91,24.435;5.309,13.497,24.997;5.28,14.592,25.827;4.077,15.345,25.795;6.559,12.953,24.715;7.732,13.459,25.255;8.018,14.82,24.936;6.684,11.842,23.916;7.974,11.4,23.717;8.095,10.348,22.745;5.556,11.249,23.352;0.706,11.399,23.71;-0.051,10.997,24.757;-1.365,11.149,25.099;-2.208,11.816,24.302;-1.812,10.623,26.244;-0.987,9.915,27.101;0.338,9.732,26.744;0.752,10.288,25.587)| +NC(=O)[C@H]([NH2+]NC(=O)c1c[nH]c2ccccc12)c1ccccc1 |(7.782,4.021,-11.184;8.934,4.68,-11.094;9.019,5.904,-10.992;10.183,3.797,-11.103;11.278,4.492,-10.41;10.98,4.773,-9.365;10.83,3.776,-8.481;11.052,2.593,-8.733;10.477,4.161,-7.257;9.781,5.27,-7.028;9.146,5.1,-5.873;9.446,3.895,-5.399;9.074,3.284,-4.278;9.55,2.013,-3.98;10.412,1.4,-4.879;10.767,2.089,-6.032;10.277,3.308,-6.258;10.538,3.514,-12.416;9.745,2.662,-13.175;10.159,2.269,-14.444;11.362,2.737,-14.956;12.15,3.601,-14.203;11.736,3.991,-12.936)| +CC[C@H](C)[C@H](NC(C)=O)C(=O)N[C@@H](CCC(=O)O)C(=O)N[C@@H](CCC(=O)O)C(=O)N[C@H](C(=O)N[C@@H](CC(=O)O)C(=O)O)C(C)C |(-11.672,6.794,32.128;-10.452,7.655,32.225;-9.988,8.222,30.877;-9.496,7.114,29.942;-8.885,9.277,31.088;-8.724,10.13,29.914;-8.295,11.387,30.003;-8.223,12.104,28.694;-7.97,11.928,31.062;-7.558,8.664,31.546;-7.392,8.347,32.721;-6.605,8.509,30.627;-5.325,7.883,30.969;-4.782,7.058,29.805;-5.637,5.805,29.577;-5.103,4.878,28.498;-4.044,5.178,27.906;-5.754,3.841,28.242;-4.346,8.937,31.489;-3.249,9.159,30.966;-4.793,9.586,32.57;-4.042,10.652,33.207;-4.564,12.038,32.789;-4.568,12.295,31.275;-3.176,12.362,30.648;-2.164,12.379,31.385;-3.095,12.403,29.398;-4.145,10.486,34.714;-5.094,9.887,35.228;-3.142,10.994,35.419;-3.126,10.872,36.876;-3.938,11.981,37.529;-4.087,13.081,36.986;-4.452,11.687,38.723;-5.257,12.633,39.499;-6.513,11.946,40.036;-7.473,11.536,38.942;-7.875,10.354,38.936;-7.834,12.396,38.11;-4.466,13.165,40.682;-3.386,12.659,40.979;-4.897,14.081,41.392;-1.685,10.843,37.407;-1.031,9.547,37.003;-0.901,12.057,36.881)| +CC[C@H](C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)C1CCC([C@H](C)O)CC1 |(73.435,52.17,13.658;73.761,53.635,13.399;72.987,54.563,14.383;73.564,54.481,15.778;71.522,54.157,14.39;70.698,55.207,15.092;70.368,56.535,14.358;71.251,57.654,14.932;71.101,58.798,14.176;70.858,57.958,16.378;69.486,58.628,16.445;69.27,59.102,17.901;68.973,58.063,18.987;68.762,58.514,20.437;68.849,59.982,20.788;69.15,61.014,19.702;69.363,60.56,18.247;71.82,58.922,16.904;72.808,58.572,17.943;72.835,57.517,18.483;73.711,59.614,18.238;74.48,59.563,19.445;75.945,60.19,19.033;75.69,61.49,18.863;74.633,61.816,19.958;73.694,62.501,19.487;72.304,61.666,19.655;72.556,60.61,20.397;74.042,60.402,20.372;69.485,54.574,16.145;70.071,53.868,17.267;68.655,55.637,16.744;68.488,53.473,15.133;68.799,51.955,15.161;67.974,51.02,14.305;66.849,51.595,13.445;66.024,50.679,12.565;66.377,49.208,12.803;66.379,51.029,11.273;66.552,53.114,13.409;67.379,54.059,14.265)| +CC[C@H](C)CN(C[C@@H](O)[C@H](CC1CCCCC1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)C1CCC([C@H](O)CO)CC1 |(73.765,52.285,14.403;73.888,53.676,13.824;73.043,54.688,14.594;73.487,54.764,16.065;71.566,54.302,14.493;70.694,55.318,15.185;70.337,56.558,14.441;71.231,57.69,14.96;71.095,58.824,14.153;70.849,58.046,16.415;69.457,58.683,16.472;69.226,59.146,17.922;68.879,58.091,19.033;68.661,58.548,20.472;68.78,60.05,20.832;69.126,61.096,19.723;69.353,60.636,18.276;71.783,59.009,16.892;72.768,58.693,17.953;72.794,57.646,18.517;73.705,59.782,18.253;74.484,59.691,19.457;75.949,60.319,19.067;75.683,61.613,18.912;74.646,61.909,20.014;73.701,62.611,19.573;72.303,61.761,19.714;72.553,60.698,20.438;74.05,60.489,20.401;69.455,54.649,16.211;68.542,55.679,16.714;70.025,54.013,17.417;68.627,53.428,15.135;69.06,51.976,15.23;68.397,50.934,14.315;67.306,51.397,13.316;66.666,50.351,12.407;66.499,50.929,11.14;65.348,49.919,12.973;64.762,49.005,12.096;66.882,52.851,13.212;67.552,53.9,14.126)| +Nc1ncnc2c1ncn2[C@@H]1O[C@H](C(=O)NCCO)[C@@H](O)[C@H]1O |(5.329,122.662,48.689;4.512,123.206,49.7;5.079,123.589,50.86;4.346,124.147,51.868;3.034,124.344,51.712;2.406,123.976,50.539;3.138,123.408,49.512;2.266,123.138,48.478;1.032,123.525,48.85;1.107,124.035,50.112;0.035,124.587,50.884;-1.087,124.047,50.601;-1.92,125.096,49.903;-2.559,124.497,48.736;-1.933,124.315,47.732;-3.918,124.08,48.804;-4.521,123.435,47.602;-5.184,124.48,46.758;-6.339,124.958,47.454;-0.896,126.256,49.596;-1.608,127.605,49.556;-0.092,126.185,50.528;-0.585,126.902,51.741)| +Cc1cc(=O)n(C2CC[NH2+]CC2)nc1-c1ccccc1 |(-3.238,7.081,-17.119;-3.886,6.875,-18.466;-4.697,5.788,-18.696;-5.293,5.651,-19.98;-6.019,4.682,-20.202;-5.064,6.59,-20.934;-5.684,6.467,-22.277;-6.999,7.269,-22.309;-7.645,7.251,-23.706;-6.686,7.712,-24.726;-5.472,6.877,-24.761;-4.739,6.92,-23.408;-4.3,7.612,-20.691;-3.699,7.795,-19.534;-2.847,8.996,-19.37;-1.457,8.876,-19.272;-0.676,10.016,-19.144;-1.264,11.269,-19.118;-2.639,11.382,-19.199;-3.432,10.255,-19.318)| +CCn1c2ccc(C[NH2+]C)cc2c2ccc(-c3cccs3)cc21 |(93.27,92.91,-41.579;91.779,93.122,-41.586;91.387,94.272,-42.398;91.285,95.581,-41.954;91.476,96.103,-40.68;91.368,97.474,-40.504;91.075,98.326,-41.568;91.017,99.819,-41.359;89.672,100.293,-41.024;89.678,101.705,-40.631;90.865,97.783,-42.832;90.966,96.412,-43.037;90.848,95.552,-44.198;90.554,95.765,-45.541;90.552,94.692,-46.417;90.847,93.396,-45.979;90.894,92.283,-46.94;90.802,92.344,-48.318;90.915,91.056,-48.934;91.081,90.07,-48.035;91.109,90.66,-46.436;91.131,93.17,-44.633;91.123,94.25,-43.76)| +CC(C)CCN1c2nc(Nc3cc(F)c(O)c(F)c3)ncc2N(C)C(=O)C1(C)C |(-7.697,7.728,22.556;-8.693,8.821,23.055;-8.524,9.056,24.579;-8.468,10.142,22.287;-8.802,9.926,20.791;-8.556,11.162,19.994;-9.551,12.087,19.934;-10.76,11.775,20.481;-11.814,12.63,20.448;-13.017,12.319,20.988;-13.319,11.46,21.996;-14.688,11.365,22.331;-15.119,10.395,23.245;-16.403,10.349,23.583;-14.205,9.541,23.854;-14.617,8.605,24.81;-12.845,9.607,23.506;-11.985,8.784,24.08;-12.412,10.527,22.54;-11.733,13.735,19.681;-10.571,14.111,19.103;-9.428,13.282,19.172;-8.134,13.683,18.682;-7.907,15.113,18.294;-7.085,12.8,18.751;-5.925,13.115,18.49;-7.328,11.337,19.183;-6.052,10.807,19.905;-7.541,10.571,17.823)| +Oc1ccc(-c2ccnn2-c2ccccc2Cl)c(O)c1 |(64.705,31.624,27.969;64.729,32.347,26.826;65.941,32.52,26.163;65.971,33.237,24.981;64.807,33.83,24.459;64.908,34.686,23.245;64.161,34.601,22.1;64.565,35.632,21.246;65.52,36.318,21.827;65.757,35.761,23.093;66.696,36.209,24.043;67.994,35.692,24.03;68.901,36.063,25.017;68.531,36.968,26.008;67.242,37.489,26.031;66.322,37.095,25.065;64.722,37.755,25.119;63.584,33.664,25.153;62.426,34.203,24.698;63.552,32.905,26.321)| +C[NH+]1CCC(C)([C@]23NC(=O)c4ccccc4[C@H]2c2ccccc2N3)CC1 |(-1.322,-17.882,31.892;-2.426,-17.888,30.889;-3.299,-16.669,31.03;-4.331,-16.563,29.914;-3.753,-16.518,28.485;-2.763,-15.349,28.379;-4.886,-16.279,27.304;-5.511,-14.976,27.521;-6.758,-14.739,27.967;-7.224,-13.603,27.987;-7.535,-15.908,28.426;-8.648,-15.712,29.253;-9.392,-16.801,29.684;-9.023,-18.083,29.318;-7.922,-18.287,28.501;-7.184,-17.208,28.021;-5.94,-17.424,27.18;-6.189,-17.422,25.682;-7.176,-18.031,24.921;-7.176,-17.855,23.546;-6.152,-17.145,22.926;-5.141,-16.555,23.676;-5.153,-16.728,25.059;-4.245,-16.249,25.99;-2.982,-17.854,28.429;-1.891,-18.007,29.489)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4c(F)c(F)c(F)c(F)c4F)nn3)[C@H]2O)cc1 |(-25.374,8.944,-5.717;-24.222,9.26,-4.742;-23.82,10.564,-4.404;-22.787,10.857,-3.512;-22.077,9.866,-2.878;-20.764,10.207,-1.706;-19.752,8.709,-1.71;-20.214,7.824,-0.742;-19.616,6.551,-0.884;-20.296,5.58,0.086;-21.646,5.417,-0.239;-18.103,6.682,-0.586;-17.894,7.124,0.715;-17.567,7.701,-1.612;-16.147,7.861,-1.458;-15.433,8.314,-0.374;-14.108,8.262,-0.774;-12.898,8.594,-0.04;-11.684,9.006,-0.642;-11.656,9.174,-1.959;-10.534,9.287,0.051;-9.455,9.694,-0.602;-10.518,9.141,1.426;-9.471,9.396,2.098;-11.66,8.719,2.072;-11.649,8.593,3.384;-12.808,8.453,1.358;-13.877,8.021,2.01;-14.122,7.774,-2.09;-15.296,7.545,-2.471;-18.267,9.067,-1.484;-17.8,9.866,-2.531;-22.443,8.564,-3.182;-23.478,8.275,-4.081)| +O=C(O)c1ccc(-c2ccc(F)cc2)c([SH](=O)=O)c1 |(37.922,12.259,-16.036;37.063,12.885,-15.415;37.322,13.627,-14.377;35.618,12.83,-15.782;35.189,12.057,-16.85;33.853,12.026,-17.204;32.879,12.731,-16.486;31.464,12.586,-16.934;30.713,11.459,-16.593;29.393,11.334,-16.986;28.855,12.324,-17.772;27.571,12.201,-18.177;29.56,13.421,-18.174;30.869,13.548,-17.75;33.333,13.522,-15.41;32.256,14.504,-14.381;31.042,14.797,-15.065;33.008,15.59,-13.852;34.677,13.55,-15.052)| +O=C(O)c1ccc(C(=O)N2CCc3c(c(=O)oc4ccccc34)C2)cc1 |(-66.534,32.319,-20.72;-66.582,31.875,-21.877;-67.643,31.737,-22.52;-65.316,31.391,-22.462;-65.19,31.155,-23.86;-63.938,30.674,-24.336;-62.875,30.397,-23.461;-61.628,29.86,-24.019;-60.519,30.277,-23.632;-61.739,28.843,-24.912;-62.977,28.178,-25.375;-63.133,28.416,-26.877;-61.78,28.306,-27.589;-60.592,28.214,-26.931;-59.327,28.062,-27.636;-58.275,27.986,-27.031;-59.377,28.021,-29.011;-60.548,28.119,-29.715;-60.457,28.055,-31.11;-61.64,28.15,-31.841;-62.886,28.266,-31.198;-62.99,28.333,-29.787;-61.789,28.247,-29.053;-60.462,28.286,-25.454;-63.017,30.604,-22.065;-64.25,31.081,-21.581)| +C[NH2+]C[C@@H](O)C[N@H+]1CCCc2ccccc2C1 |(15.098,15.516,74.337;15.195,16.305,75.51;15.239,17.714,75.154;14.787,18.647,76.269;15.799,18.642,77.209;14.564,20.111,75.738;14.027,20.925,76.663;14.42,22.241,76.509;13.561,23.255,77.286;12.394,23.827,76.47;11.697,22.834,75.465;10.893,23.385,74.385;10.239,22.547,73.455;10.354,21.146,73.569;11.15,20.595,74.634;11.816,21.437,75.578;12.662,20.782,76.733)| +O=CN1C[C@H]([NH2+]OS(=O)(=O)O)CC[C@H]1C(=O)NC1CC[NH2+]CC1 |(-4.972,-3.735,12.663;-5.929,-3.081,13.15;-6.29,-1.892,12.626;-7.542,-1.244,12.958;-8.473,-1.667,11.817;-8.419,-3.175,11.75;-8.91,-3.612,10.545;-8.771,-5.238,10.653;-7.912,-5.593,9.577;-8.179,-5.274,11.945;-10.128,-5.663,10.657;-7.909,-1.116,10.463;-6.417,-1.481,10.242;-5.599,-1.311,11.521;-5.25,0.142,11.762;-5.581,0.725,12.822;-4.529,0.832,10.894;-4.151,2.212,11.169;-3.072,2.719,10.207;-2.553,4.092,10.662;-3.655,5.11,10.734;-4.903,4.644,11.469;-5.35,3.199,11.107)| +C/C=C(C)/C=C/C=C(C)/C=C/C1=C(C)CCCC1(C)C |(-5.123,-14.726,19.425;-4.54,-14.362,18.131;-3.376,-14.907,17.726;-2.634,-15.872,18.587;-2.765,-14.549,16.437;-1.618,-15.119,16.069;-1.002,-14.73,14.803;0.278,-15.062,14.58;1.042,-15.812,15.645;0.949,-14.647,13.329;1.323,-15.541,12.426;2.023,-15.219,11.15;3.347,-15.455,11.101;4.061,-15.999,12.307;4.166,-15.195,9.865;3.263,-15.451,8.673;2.153,-14.42,8.754;1.242,-14.668,9.956;0.128,-15.656,9.596;0.609,-13.327,10.306)| +Cc1cc(-c2nnn[nH]2)ccc1C1=CC(=O)C(O)C(C(=O)[O-])=N1 |(-24.358,16.243,134.889;-24.078,17.201,135.901;-25.119,17.516,136.749;-24.933,18.442,137.772;-25.976,18.713,138.535;-27.244,18.465,138.158;-27.952,18.877,139.045;-27.171,19.403,140.019;-25.949,19.321,139.72;-23.693,19.096,137.94;-22.636,18.802,137.08;-22.826,17.856,136.069;-21.772,17.608,135.197;-21.953,17.959,133.86;-20.963,17.745,132.902;-21.184,18.054,131.714;-19.772,17.178,133.34;-18.815,16.966,132.439;-19.564,16.847,134.679;-18.407,16.35,135.241;-18.394,16.399,136.46;-17.351,16.053,134.611;-20.571,17.069,135.616)| +Nc1ncnc2c1ncn2[C@@H]1O[C@H](C(=O)NCC[NH3+])[C@@H](O)[C@H]1O |(69.73,210.716,48.696;68.851,211.384,49.656;69.388,211.914,50.794;68.62,212.565,51.727;67.32,212.703,51.565;66.723,212.17,50.411;67.473,211.498,49.447;66.597,211.104,48.453;65.349,211.511,48.809;65.416,212.166,50.007;64.331,212.797,50.76;63.173,212.348,50.353;62.368,213.613,49.64;61.556,213.018,48.606;61.928,212.064,47.881;60.225,213.547,48.447;59.304,213.048,47.478;57.893,213.017,48.158;57.751,211.883,48.99;63.343,214.423,49.216;62.884,215.795,49.071;64.346,214.334,50.414;63.905,215.062,51.474)| +CCn1c2ccc(C[NH2+]C)cc2c2ccc(Br)cc21 |(93.436,92.705,-41.565;91.913,92.963,-41.585;91.585,94.105,-42.399;91.489,95.403,-42.003;91.688,95.995,-40.741;91.54,97.396,-40.604;91.18,98.206,-41.715;91.029,99.678,-41.577;89.723,100.056,-41.003;89.571,101.511,-40.789;90.992,97.598,-42.977;91.144,96.202,-43.107;91.02,95.34,-44.197;90.702,95.547,-45.557;90.663,94.417,-46.414;90.946,93.117,-45.926;90.905,91.612,-47.031;91.267,92.939,-44.572;91.298,94.055,-43.72)| +CCC(=O)N1CCN(c2nc(=O)n(-c3ccccc3C(C)C)c3cc(-c4c(O)cccc4F)c(Cl)cc23)CC1 |(-1.163,-7.909,-6.992;-0.989,-6.59,-6.241;0.437,-6.074,-6.433;1.38,-6.68,-5.924;0.659,-4.985,-7.169;2.061,-4.514,-7.355;2.094,-3.013,-7.579;1.181,-2.593,-8.652;1.564,-1.569,-9.528;1.147,-1.69,-10.804;1.461,-0.789,-11.746;1.06,-0.928,-12.905;2.256,0.308,-11.433;2.547,1.252,-12.441;1.739,2.385,-12.507;1.978,3.359,-13.473;3.03,3.185,-14.365;3.844,2.06,-14.299;3.598,1.076,-13.331;4.484,-0.181,-13.218;5.907,0.271,-12.914;4.436,-1.011,-14.516;2.713,0.48,-10.113;3.501,1.583,-9.776;3.966,1.781,-8.482;4.769,2.91,-8.221;4.252,4.204,-8.329;2.951,4.39,-8.66;5.052,5.322,-8.086;6.394,5.16,-7.751;6.927,3.883,-7.65;6.129,2.763,-7.896;6.692,1.545,-7.787;3.611,0.829,-7.521;4.136,0.994,-5.889;2.829,-0.281,-7.855;2.363,-0.469,-9.152;-0.037,-3.385,-8.953;-0.479,-4.256,-7.788)| +[H]/N=C(/N)NCCC[C@H]([NH3+])C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](C)C(=O)N[C@H](C(=O)N[C@H](C(=O)N1CCC[C@H]1C(=O)O)C(C)C)C(C)C |(-0.5135,3.7454,-34.9094;-1.195,4.307,-34.399;-1.536,3.973,-33.162;-2.424,4.71,-32.506;-0.988,2.904,-32.587;-1.289,2.44,-31.232;-0.353,3.046,-30.194;-0.684,2.576,-28.78;0.164,3.257,-27.707;1.57,2.886,-27.858;-0.329,2.903,-26.305;-0.266,1.751,-25.874;-0.826,3.911,-25.6;-1.23,3.78,-24.208;-0.452,4.79,-23.366;1.041,4.712,-23.605;1.671,3.486,-23.768;3.031,3.407,-23.995;3.776,4.561,-24.066;5.133,4.491,-24.286;3.174,5.789,-23.911;1.813,5.86,-23.689;-2.725,4.014,-24.079;-3.3,4.838,-24.793;-3.347,3.279,-23.163;-4.776,3.401,-22.914;-5.141,4.763,-22.317;-5.603,3.108,-24.164;-6.674,3.699,-24.366;-5.122,2.174,-24.981;-5.849,1.694,-26.154;-6.393,0.301,-25.857;-5.642,-0.604,-25.463;-7.692,0.128,-26.069;-8.35,-1.143,-25.747;-7.924,-2.197,-26.759;-7.846,-1.901,-27.967;-7.643,-3.431,-26.336;-7.392,-3.88,-24.954;-7.235,-5.373,-25.101;-6.914,-5.672,-26.489;-7.425,-4.493,-27.323;-8.728,-4.844,-28.039;-8.826,-4.408,-29.182;-9.516,-5.519,-27.383;-9.864,-0.957,-25.772;-10.568,-2.256,-25.455;-10.311,0.119,-24.785;-4.962,1.697,-27.41;-5.699,1.084,-28.592;-4.516,3.115,-27.745)| +C[NH+](C)Cc1[nH]c2ccccc2c1[C@H]1NC(=O)c2ccc(O)cc21 |(17.23,33.411,16.497;17.236,34.646,15.707;17.805,35.74,16.49;17.974,34.465,14.452;17.325,33.489,13.516;16.098,33.752,12.948;15.699,32.649,12.215;14.554,32.441,11.449;14.413,31.222,10.794;15.38,30.231,10.92;16.533,30.453,11.669;16.701,31.665,12.339;17.733,32.23,13.176;18.988,31.525,13.656;18.712,30.215,14.234;19.352,29.202,13.625;19.256,28.013,13.909;20.144,29.805,12.535;20.954,29.218,11.564;21.586,30.022,10.63;21.408,31.402,10.669;22.056,32.208,9.794;20.599,31.984,11.636;19.947,31.174,12.56)| +[NH3+][C@@H](Cc1c[nH]c2ccccc12)C(=O)[O-] |(-0.832,32.043,21.823;-0.385,30.712,21.384;0.775,30.178,22.246;0.528,30.301,23.711;0.88,31.348,24.517;0.447,31.123,25.8;-0.173,29.903,25.851;-0.758,29.247,26.92;-1.318,28.027,26.679;-1.309,27.456,25.399;-0.723,28.11,24.331;-0.147,29.359,24.551;-1.599,29.787,21.436;-2.674,30.193,21.919;-1.543,28.637,20.98)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4c(F)c(F)c(N)c(F)c4F)nn3)[C@H]2O)cc1 |(-25.431,9.824,-5.823;-24.366,9.885,-4.775;-23.584,8.759,-4.472;-22.582,8.791,-3.482;-22.318,9.967,-2.738;-21.002,9.976,-1.461;-20.007,8.502,-1.56;-20.426,7.543,-0.628;-19.7,6.266,-0.649;-20.322,5.321,0.356;-21.638,5.079,-0.052;-18.2,6.586,-0.451;-17.981,7.02,0.818;-17.692,7.61,-1.524;-16.264,7.756,-1.489;-15.526,8.311,-0.431;-14.176,8.283,-0.828;-12.955,8.704,-0.115;-12.767,8.582,1.274;-13.774,8.117,1.95;-11.564,8.974,1.962;-11.508,8.817,3.283;-10.426,9.486,1.307;-9.248,9.865,1.957;-10.603,9.583,-0.086;-9.584,10.06,-0.817;-11.813,9.2,-0.751;-11.892,9.324,-2.062;-14.201,7.714,-2.122;-15.387,7.426,-2.496;-18.5,8.912,-1.405;-18.099,9.736,-2.472;-23.101,11.096,-3.035;-24.106,11.049,-4.034)| +CC(C)CN(C[C@@H](O)[C@H](CC1CCCCC1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@@H](O)CO)cc1 |(73.467,54.619,16.19;72.956,54.636,14.753;73.757,53.591,13.923;71.419,54.238,14.71;70.572,55.249,15.415;70.179,56.482,14.661;71.047,57.633,15.158;70.843,58.745,14.36;70.683,57.983,16.624;69.313,58.662,16.713;69.051,59.085,18.18;69.193,60.551,18.589;68.937,60.968,20.026;68.531,59.916,21.079;68.389,58.438,20.67;68.635,58.021,19.241;71.668,58.92,17.07;72.645,58.606,18.168;72.673,57.551,18.747;73.511,59.681,18.445;74.291,59.669,19.653;75.743,60.282,19.208;75.504,61.589,19.065;74.459,61.926,20.16;73.532,62.626,19.682;72.128,61.804,19.846;72.36,60.749,20.588;73.85,60.523,20.572;69.345,54.59,16.443;68.401,55.596,16.937;69.916,53.909,17.609;68.532,53.371,15.349;67.507,53.839,14.36;66.87,52.796,13.437;67.312,51.345,13.579;66.708,50.306,12.634;65.828,50.974,11.8;67.892,49.82,11.833;68.665,50.924,11.449;68.369,50.888,14.563;68.989,51.919,15.48)| +COc1cc(/C=C/C(C)=O)ccc1O |(-21.985,12.777,-17.236;-22.043,11.919,-16.109;-22.276,12.506,-14.853;-22.44,13.881,-14.672;-22.672,14.374,-13.385;-22.859,15.86,-13.118;-22.662,16.773,-14.084;-22.878,18.228,-13.742;-23.361,18.611,-12.362;-22.687,19.079,-14.584;-22.753,13.516,-12.295;-22.591,12.149,-12.466;-22.356,11.658,-13.749;-22.198,10.281,-13.938)| +CCCC[C@H]([NH3+])C(=O)N[C@@H](C)C(=O)N[C@@H](CC(=O)O)C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N1CCC[C@H]1C(=O)O)[C@@H](C)O)[C@@H](C)O)[C@@H](C)O |(11.997,10.186,22.676;13.134,10.736,23.521;14.026,9.61,24.039;15.272,10.14,24.744;16.312,9.053,25.027;16.916,8.577,23.785;15.661,7.893,25.773;15.509,6.8,25.226;15.258,8.144,27.013;14.682,7.092,27.834;14.608,7.535,29.295;13.296,6.718,27.341;12.575,7.534,26.759;12.924,5.464,27.577;11.575,4.991,27.329;11.55,3.904,26.245;12.305,2.651,26.66;13.543,2.643,26.512;11.66,1.683,27.125;10.979,4.45,28.622;11.691,4.176,29.594;9.66,4.296,28.621;8.922,3.726,29.739;8.063,2.573,29.234;7.666,2.541,28.066;7.779,1.619,30.123;6.936,0.478,29.793;5.516,0.617,30.341;4.786,-0.378,30.415;5.11,1.824,30.727;3.791,2.124,31.251;3.285,3.417,30.628;4.051,4.143,29.985;1.981,3.736,30.775;0.887,3.028,31.467;-0.201,4.059,31.528;-0.023,4.874,30.301;1.496,4.958,30.118;2.035,6.248,30.736;2.502,7.119,30.005;1.994,6.397,31.956;3.829,2.244,32.786;4.169,0.901,33.427;4.802,3.225,33.166;7.572,-0.82,30.301;9.07,-0.852,29.98;7.385,-0.933,31.72;8.036,4.79,30.427;7.04,5.395,29.43;7.323,4.211,31.534)| +CCC(=O)Nc1nc(-c2ccc(Cl)cc2)cs1 |(-6.186,5.005,-2.562;-5.875,6.456,-2.992;-4.89,7.077,-2.052;-5.086,7.11,-0.859;-3.717,7.57,-2.687;-2.598,8.151,-2.079;-1.451,8.36,-2.703;-0.439,8.754,-1.778;0.891,9.065,-2.33;1.86,9.759,-1.585;3.13,9.973,-2.124;3.424,9.484,-3.414;4.976,9.75,-4.099;2.503,8.799,-4.169;1.238,8.577,-3.63;-0.86,8.864,-0.49;-2.523,8.451,-0.326)| +CNc1c(F)c(F)c(-c2cn([C@@H]3[C@@H](O)[C@H](Sc4ccc(C)cc4)O[C@H](CO)[C@@H]3O)nn2)c(F)c1F |(-9.364,11.186,2.372;-9.633,10.04,1.519;-10.893,9.659,0.885;-11.144,9.846,-0.472;-10.212,10.426,-1.246;-12.318,9.444,-1.072;-12.491,9.648,-2.385;-13.321,8.811,-0.365;-14.578,8.358,-0.99;-15.867,8.353,-0.521;-16.595,7.807,-1.506;-18.04,7.533,-1.544;-18.906,8.813,-1.47;-18.643,9.618,-2.607;-20.326,8.253,-1.55;-21.621,9.501,-1.626;-22.821,8.514,-2.491;-23.54,7.572,-1.767;-24.434,6.736,-2.408;-24.645,6.818,-3.779;-25.606,5.891,-4.474;-23.928,7.774,-4.489;-23.023,8.611,-3.861;-20.587,7.424,-0.441;-19.895,6.186,-0.611;-20.395,5.311,0.484;-21.75,5.057,0.249;-18.409,6.479,-0.508;-18.131,6.97,0.789;-15.817,7.483,-2.561;-14.592,7.822,-2.244;-13.08,8.616,0.981;-14.017,8.021,1.72;-11.921,9.041,1.588;-11.828,8.891,2.909)| +CC(C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@H](O)CO)cc1 |(73.373,54.692,15.849;72.834,54.732,14.419;73.621,53.748,13.549;71.356,54.354,14.374;70.528,55.33,15.072;70.188,56.574,14.396;71.052,57.713,14.94;70.885,58.85,14.148;70.673,58.062,16.375;69.302,58.734,16.436;69.05,59.142,17.883;68.663,58.098,18.924;68.435,58.53,20.367;68.587,59.992,20.761;68.979,61.027,19.722;69.213,60.6,18.281;71.633,59.024,16.87;72.605,58.712,17.888;72.638,57.66,18.46;73.515,59.743,18.131;74.471,59.632,19.275;75.572,60.008,18.891;75.486,61.533,18.967;74.5,61.803,20.076;73.253,62.709,19.497;72.191,61.974,19.493;72.466,60.848,20.466;74.041,60.693,20.428;69.347,54.662,16.106;69.991,53.971,17.216;68.451,55.669,16.659;68.482,53.471,15.088;67.469,53.952,14.063;66.788,52.912,13.2;67.137,51.441,13.38;66.467,50.41,12.494;66.553,50.901,11.186;65.012,50.229,12.87;64.495,49.172,12.101;68.162,50.977,14.392;68.843,52.011,15.258)| +[NH3+]Cc1ccc(-c2ncc(OCC3CC[NH2+]CC3)nc2-c2ccc(-c3ccoc3)cc2)cc1 |(7.012,-60.815,9.311;7.987,-61.764,8.718;7.775,-61.986,7.225;8.806,-62.65,6.534;8.686,-62.798,5.141;7.491,-62.304,4.511;7.405,-62.491,3.076;6.466,-63.349,2.675;6.366,-63.714,1.373;7.184,-63.135,0.359;6.948,-63.456,-1.019;7.907,-63.06,-2.061;7.235,-62.026,-2.987;8.299,-61.102,-3.657;7.6,-60.085,-4.589;6.684,-60.849,-5.557;5.688,-61.81,-4.992;6.353,-62.8,-3.99;8.168,-62.279,0.776;8.343,-61.984,2.163;9.43,-61.001,2.58;9.298,-60.222,3.781;10.342,-59.249,4.059;11.48,-59.112,3.105;12.501,-58.08,3.434;12.979,-57.792,4.717;13.858,-56.713,4.541;13.966,-56.342,3.165;13.066,-57.192,2.466;11.576,-59.838,1.902;10.536,-60.76,1.655;6.41,-61.722,5.161;6.579,-61.538,6.576)| +CCn1c2ccc(C[NH2+]C)cc2c2ccc(-c3cc(C)cs3)cc21 |(93.585,92.81,-41.73;92.069,93.008,-41.824;91.742,94.217,-42.551;91.689,95.527,-42.067;91.938,96.022,-40.77;91.838,97.402,-40.53;91.463,98.282,-41.576;91.349,99.769,-41.333;89.955,100.158,-41.05;89.791,101.598,-40.752;91.224,97.791,-42.874;91.332,96.411,-43.128;91.159,95.597,-44.292;90.814,95.85,-45.63;90.727,94.779,-46.54;90.985,93.443,-46.159;90.893,92.367,-47.153;90.417,92.412,-48.442;90.501,91.157,-49.115;90.043,90.944,-50.524;91.052,90.176,-48.329;91.471,90.774,-46.754;91.347,93.193,-44.818;91.42,94.254,-43.901)| +OC[C@H]1O[C@@H](SC[C@@H](O)Cn2cc(-c3cccc(F)c3)nn2)[C@H](O)[C@@H](n2cc(-c3cccc(F)c3)nn2)[C@H]1O |(-21.736,5.512,-0.435;-20.355,5.618,-0.121;-19.729,6.728,-0.968;-20.331,7.937,-0.56;-19.902,9.048,-1.323;-20.662,10.535,-0.578;-22.38,10.568,-1.063;-23.194,9.462,-0.402;-23.058,9.522,1.039;-24.69,9.649,-0.787;-25.621,8.849,-0.001;-26.211,9.245,1.2;-27.033,8.203,1.643;-27.858,8.104,2.876;-28.609,6.984,3.258;-29.354,6.948,4.449;-29.378,8.02,5.332;-28.622,9.127,4.964;-28.616,10.179,5.785;-27.877,9.176,3.78;-26.884,7.196,0.65;-26.071,7.582,-0.284;-18.381,9.268,-1.177;-17.954,10.235,-2.103;-17.615,8.025,-1.35;-16.265,8.07,-1.394;-15.492,8.41,-0.284;-14.172,8.352,-0.658;-12.978,8.6,0.109;-11.744,8.873,-0.49;-10.598,9.106,0.256;-10.628,9.058,1.638;-11.857,8.778,2.221;-11.911,8.711,3.552;-13.005,8.539,1.499;-14.208,7.968,-2.001;-15.423,7.804,-2.387;-18.214,6.811,-0.722;-17.985,7.002,0.666)| +CC1(C)CC(=O)c2c(C(F)(F)F)nn(-c3ccc(C(N)=O)c(N[C@H]4CC[C@H](O)CC4)c3)c2C1 |(19.698,112.624,-105.094;20.988,112.357,-104.37;21.22,113.267,-103.175;22.118,112.548,-105.342;23.402,111.994,-104.813;24.435,112.488,-105.157;23.405,110.741,-103.823;24.408,109.947,-103.253;25.952,110.102,-103.381;26.505,109.267,-102.457;26.472,109.882,-104.631;26.28,111.352,-102.962;23.804,108.987,-102.472;22.395,109.112,-102.58;21.423,108.398,-101.913;20.307,107.866,-102.578;19.321,107.23,-101.822;19.491,107.17,-100.452;18.396,106.463,-99.658;17.615,105.464,-100.356;18.209,106.762,-98.504;20.562,107.673,-99.75;20.559,107.491,-98.277;21.564,108.092,-97.389;21.541,107.362,-96.04;22.572,107.975,-95.069;22.522,109.518,-94.93;23.756,110.011,-94.416;22.25,110.276,-96.241;21.243,109.571,-97.169;21.542,108.313,-100.501;22.163,110.203,-103.385;20.853,110.948,-103.9)| +CC[C@H](C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc(CO)cc1 |(73.366,52.09,14.232;73.45,53.488,13.623;72.746,54.537,14.488;73.266,54.497,15.924;71.247,54.26,14.462;70.527,55.29,15.197;70.206,56.538,14.532;71.096,57.658,15.068;70.973,58.78,14.242;70.709,58.039,16.498;69.342,58.714,16.567;69.119,59.195,18.001;68.786,58.19,19.097;68.569,58.665,20.531;68.691,60.148,20.866;69.028,61.151,19.768;69.245,60.674,18.335;71.674,59,16.979;72.674,58.66,17.956;72.697,57.597,18.502;73.607,59.676,18.192;74.541,59.553,19.348;75.644,59.919,18.982;75.511,61.437,18.937;74.57,61.737,20.074;73.305,62.65,19.536;72.239,61.92,19.573;72.54,60.809,20.548;74.115,60.644,20.475;69.332,54.679,16.246;68.552,55.743,16.873;69.916,53.916,17.352;68.257,53.632,15.271;68.494,52.136,15.318;67.596,51.235,14.497;66.483,51.852,13.666;65.593,50.948,12.838;66.094,51.004,11.539;66.259,53.358,13.619;67.153,54.265,14.441)| +[H]/N=C(/N)NCCC[C@H](NC(=O)[C@H](C)NC(=O)[C@@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@@H]([NH3+])CCCC[NH3+])[C@@H](C)O)C(=O)N[C@@H](CCCC[N+](C)(C)C)C(=O)N[C@@H](CO)C(=O)N[C@H](C(=O)NCC(=O)O)[C@@H](C)O |(16.8537,10.5698,7.8638;17.192,9.728,8.33;16.35,8.745,8.616;16.792,7.651,9.223;15.065,8.857,8.295;14.488,10.016,7.622;14.116,11.116,8.599;13.071,10.651,9.602;12.696,11.721,10.63;13.77,11.924,11.59;13.994,13.119,12.119;13.409,14.143,11.755;15.046,13.16,13.215;14.45,12.712,14.555;15.584,14.51,13.282;16.764,14.78,13.833;17.431,13.943,14.446;17.248,16.211,13.645;18.455,16.437,14.424;18.559,17.416,15.315;17.636,18.201,15.559;19.896,17.543,16.036;19.702,17.645,17.547;20.964,18.03,18.309;22.064,16.991,18.188;23.087,17.297,17.396;21.995,15.926,18.799;20.583,18.725,15.53;21.392,18.686,14.475;21.636,17.655,13.855;22.023,20.014,14.069;23.351,19.825,13.495;21.114,20.75,13.082;21.501,20.565,11.625;20.59,21.369,10.708;21.122,21.402,9.284;22.447,22.084,9.206;17.486,16.479,12.153;18.057,17.878,11.935;18.4,15.503,11.638;11.423,11.339,11.373;11.43,10.44,12.215;10.34,12.046,11.077;9.064,11.768,11.686;8.222,13.04,11.871;7.073,12.811,12.826;6.045,13.922,12.691;6.695,15.229,13.125;5.805,16.446,13.282;4.752,16.231,14.318;5.161,16.833,11.992;6.687,17.572,13.725;8.26,10.773,10.862;8.006,10.939,9.667;7.858,9.694,11.529;7.114,8.621,10.877;6.876,7.463,11.849;8.102,6.865,12.235;5.789,9.139,10.33;5.007,9.756,11.052;5.551,8.884,9.046;4.392,9.417,8.345;3.242,8.418,8.366;3.433,7.225,8.115;2.046,8.915,8.665;0.861,8.079,8.719;0.636,7.452,10.081;1.43,7.646,11.001;-0.345,6.738,10.29;4.756,9.763,6.899;3.602,10.494,6.213;5.924,10.597,6.884)| +CC(C)(c1ccc(O)cc1)c1ccc(O)cc1 |(17.342,2.871,-27.56;16,3.388,-28.095;14.846,2.579,-27.489;15.979,3.279,-29.612;14.905,2.684,-30.26;14.915,2.597,-31.652;15.986,3.098,-32.39;15.985,3.004,-33.755;17.057,3.692,-31.729;17.053,3.78,-30.34;15.761,4.85,-27.718;16.62,5.52,-26.843;16.359,6.841,-26.496;15.239,7.477,-27.033;14.979,8.772,-26.702;14.385,6.805,-27.909;14.645,5.493,-28.252)| +COc1nc(N)nc(Nc2cc(S(N)(=O)=O)ccc2N[C@@H](c2cccc3c2OC(F)(F)O3)c2ncccc2Cl)n1 |(27.247,-13.865,14.042;27.967,-13.454,15.225;28.72,-12.269,15.218;29.067,-11.641,16.367;29.785,-10.487,16.344;30.1,-9.85,17.494;30.206,-9.982,15.158;29.865,-10.601,14.008;30.286,-10.102,12.832;30.047,-10.632,11.601;28.791,-11.175,11.238;28.583,-11.591,9.917;27.01,-12.266,9.47;26.423,-11.015,8.571;27.249,-13.44,8.661;26.166,-12.367,10.63;29.609,-11.506,8.96;30.86,-11,9.321;31.079,-10.548,10.639;32.266,-10.049,11.042;33.377,-9.751,10.149;33.145,-8.512,9.257;32.603,-7.301,9.743;32.422,-6.184,8.886;32.724,-6.25,7.506;33.149,-7.496,7.001;33.392,-8.559,7.858;33.831,-9.664,7.156;34.005,-9.118,5.833;35.289,-9.237,5.479;33.301,-9.921,5.017;33.512,-7.755,5.67;34.648,-9.468,10.955;34.565,-8.723,12.085;35.665,-8.376,12.812;36.953,-8.764,12.394;37.085,-9.548,11.229;35.929,-9.867,10.505;36.085,-10.833,9.075;29.162,-11.754,14.048)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4cc(F)cc(F)c4)nn3)[C@H]2O)cc1 |(-25.591,9.164,-5.484;-24.416,9.415,-4.593;-23.606,8.388,-4.123;-22.516,8.647,-3.274;-22.188,9.942,-2.851;-20.751,10.259,-1.769;-19.742,8.75,-1.777;-20.25,7.855,-0.805;-19.682,6.57,-0.963;-20.378,5.607,0.027;-21.719,5.46,-0.362;-18.152,6.681,-0.647;-17.966,7.098,0.669;-17.562,7.751,-1.611;-16.14,7.856,-1.423;-15.432,8.262,-0.293;-14.084,8.178,-0.648;-12.904,8.454,0.132;-11.65,8.617,-0.48;-10.513,8.868,0.281;-9.38,9.026,-0.331;-10.553,8.937,1.677;-11.8,8.745,2.27;-11.907,8.784,3.58;-12.945,8.509,1.522;-14.076,7.742,-1.98;-15.258,7.558,-2.405;-18.263,9.103,-1.487;-17.777,9.91,-2.526;-23.001,10.979,-3.319;-24.095,10.714,-4.17)| +CSCC[C@H](NC(=O)[C@@H]1CCCN1C(=O)[C@@H](NC(C)=O)C(C)C)C(=O)N[C@@H](CCCNC(N)=[NH2+])C(=O)N[C@@H](C)C(=O)N[C@@H](CCCNC(N)=[NH2+])C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N1CCC[C@H]1C(=O)N[C@@H](C)C(=O)N[C@@H](CO)C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](Cc1c[nH]c2ccccc12)C(=O)N[C@@H](CCC(=O)[O-])C(=O)N[C@@H](CCC(=O)[O-])C(=O)N1CCC[C@H]1C(N)=O |(4.144,0.537,18.265;5.267,-0.657,18.987;6.351,-1.01,17.577;5.761,-1.839,16.438;5.396,-3.277,16.84;6.586,-4.037,17.235;6.576,-5.336,17.574;5.553,-6.027,17.592;7.908,-5.947,18.012;8.507,-6.854,16.927;8.046,-8.229,17.284;8.032,-8.255,18.785;7.69,-6.864,19.149;7.158,-6.38,20.309;6.913,-5.177,20.462;6.884,-7.348,21.488;7.447,-6.842,22.754;8.733,-6.541,22.942;9.09,-6.032,24.339;9.607,-6.652,22.068;5.366,-7.671,21.657;4.651,-7.846,20.316;5.159,-8.898,22.54;4.557,-3.973,15.752;3.334,-3.976,15.849;5.23,-4.622,14.767;4.615,-5.339,13.643;5.694,-5.948,12.739;6.32,-4.939,11.778;5.545,-4.832,10.477;6.095,-3.8,9.598;5.545,-3.423,8.448;4.416,-3.983,8.028;6.113,-2.476,7.714;3.582,-6.407,14.043;2.633,-6.637,13.29;3.748,-7.036,15.221;2.828,-8.076,15.694;3.614,-9.266,16.273;1.773,-7.548,16.689;1.029,-8.336,17.276;1.675,-6.228,16.848;0.708,-5.644,17.782;1.284,-4.407,18.505;2.518,-4.761,19.346;3.079,-3.575,20.109;4.271,-3.949,20.878;4.722,-3.289,21.939;5.8,-3.716,22.585;4.088,-2.213,22.377;-0.633,-5.376,17.101;-0.703,-5.348,15.867;-1.699,-5.23,17.907;-3.068,-4.999,17.427;-4.107,-5.371,18.512;-4.206,-6.882,18.788;-5.342,-7.294,19.703;-5.607,-8.577,19.751;-6.011,-6.492,20.36;-3.195,-3.549,16.996;-3.71,-2.732,17.75;-2.663,-3.211,15.816;-2.643,-1.805,15.379;-1.187,-1.278,15.293;-0.389,-1.262,16.618;1.117,-1.159,16.35;-0.883,-0.183,17.555;-3.366,-1.605,14.052;-3.535,-2.574,13.327;-3.862,-0.388,13.741;-3.705,0.885,14.48;-4.649,1.808,13.794;-4.807,1.333,12.411;-4.505,-0.178,12.43;-3.532,-0.496,11.284;-2.314,-0.292,11.429;-4.085,-0.886,10.121;-3.351,-1.156,8.878;-4.325,-1.511,7.768;-2.581,0.124,8.486;-1.423,0.042,8.085;-3.203,1.306,8.692;-2.614,2.627,8.365;-3.618,3.733,8.657;-3.86,3.803,10.049;-1.314,2.908,9.102;-0.497,3.711,8.613;-1.105,2.246,10.271;0.115,2.415,11.073;-0.01,1.623,12.373;0.919,2.022,13.498;0.546,2.999,14.414;1.372,3.316,15.495;2.582,2.671,15.654;2.983,1.721,14.736;2.147,1.391,13.666;1.391,2.048,10.282;2.463,2.585,10.561;1.243,1.189,9.263;2.343,0.699,8.428;2.367,-0.849,8.451;2.391,-1.406,9.846;1.36,-2.018,10.504;1.719,-2.277,11.808;2.978,-1.777,12.027;3.781,-1.814,13.168;5.048,-1.268,13.074;5.492,-0.641,11.901;4.694,-0.603,10.77;3.424,-1.211,10.812;2.284,1.237,6.994;2.991,0.732,6.108;1.436,2.256,6.771;1.202,2.854,5.454;-0.268,2.649,5.02;-0.727,1.193,5.082;-2.184,0.893,4.768;-2.444,-0.216,4.25;-3.068,1.73,5.071;1.533,4.335,5.515;0.656,5.181,5.756;2.795,4.654,5.255;3.183,6.072,5.278;4.649,6.23,4.882;5.087,7.686,4.911;6.562,7.98,4.702;7.339,7.044,4.402;6.939,9.167,4.839;2.301,6.833,4.261;2.182,6.37,3.112;1.675,7.968,4.66;1.691,8.621,5.985;0.488,9.524,5.934;0.503,10.006,4.522;0.905,8.77,3.695;1.769,9.207,2.507;1.164,9.274,1.311;2.988,9.361,2.644)| +CCC(CC)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@H](C)O)cc1 |(74.573,54.775,15.72;73.06,54.744,15.466;72.657,54.853,13.995;73.33,53.822,13.058;72.969,52.395,13.445;71.127,54.71,13.913;70.426,55.686,14.765;70.045,56.989,14.183;70.993,58.061,14.728;70.906,59.216,13.955;70.639,58.388,16.187;69.321,59.163,16.27;69.065,59.544,17.741;68.713,58.474,18.753;68.471,58.829,20.206;68.554,60.271,20.647;68.889,61.344,19.64;69.143,60.987,18.18;71.637,59.285,16.707;72.628,58.918,17.697;72.643,57.866,18.273;73.571,59.929,17.913;74.55,59.82,19.039;75.64,60.282,18.656;75.531,61.791,18.862;74.54,61.936,20;73.37,62.855,19.49;72.148,62.026,19.515;72.439,60.951,20.241;74.058,60.805,20.243;69.228,55.042,15.817;69.876,54.182,16.816;68.449,56.109,16.423;68.149,54.057,14.785;67.093,54.797,13.983;66.175,53.975,13.095;66.364,52.488,13.022;65.441,51.719,12.087;65.235,50.31,12.607;66.118,51.735,10.878;67.434,51.765,13.805;68.344,52.564,14.718)| +Cn1cnc(-c2ccccc2)c1-c1ccncc1 |(-2.839,7.427,-17.435;-3.439,7.217,-18.75;-4.105,6.111,-19.156;-4.56,6.205,-20.379;-4.169,7.456,-20.841;-4.528,7.877,-22.213;-5.838,7.734,-22.681;-6.17,8.122,-23.97;-5.206,8.655,-24.808;-3.904,8.796,-24.356;-3.563,8.409,-23.07;-3.442,8.111,-19.869;-2.836,9.46,-19.85;-3.573,10.579,-20.25;-2.967,11.82,-20.22;-1.712,12.021,-19.8;-1.008,10.94,-19.437;-1.522,9.654,-19.439)| +Cc1cc(C(N)=O)ccc1-n1nc(C(C)C)c2c(-n3cnc(-c4cnn(C)c4)c3)ccnc21 |(30.977,20.5,10.961;30.594,19.911,9.627;29.304,20.173,9.171;28.844,19.645,7.962;27.495,19.945,7.352;26.925,21.091,7.693;26.975,19.252,6.469;29.719,18.876,7.216;31.02,18.591,7.665;31.531,19.033,8.874;32.781,18.915,9.277;33.251,18.509,10.514;34.591,18.719,10.508;35.593,18.474,11.561;34.969,19.001,12.876;36.058,17.032,11.64;34.977,19.403,9.239;36.201,19.97,8.601;37.441,19.92,9.193;38.059,18.75,9.407;39.251,19.029,9.977;39.324,20.34,10.077;40.596,20.901,10.638;41.542,20.15,11.354;42.583,20.981,11.653;42.209,22.222,11.097;43.181,23.312,11.299;41.022,22.189,10.453;38.195,20.976,9.545;35.929,20.503,7.328;34.674,20.559,6.707;33.592,20.086,7.286;33.686,19.508,8.512)| +CC1=CC(=O)C(O)C(C(=O)O)=N1 |(-21.729,19.606,16.492;-21.035,18.872,15.458;-21.456,18.93,14.121;-20.798,18.205,13.12;-21.247,18.306,11.954;-19.667,17.419,13.472;-19.032,16.703,12.522;-19.209,17.343,14.796;-18.145,16.584,15.314;-18.104,16.563,16.558;-17.262,15.934,14.649;-19.911,18.077,15.778)| +[H]/N=C(/N)NCCC[C@H](NC(C)=O)C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCN/C(N)=N\[H])C(=O)N[C@@]1(C)CCC/C=C\CCC[C@@](C)(C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CCCC[NH3+])C(N)=O)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCC(N)=O)NC1=O)[C@@H](C)CC)[C@@H](C)CC |(-60.7638,-57.4901,89.0226;-60.532,-56.501,88.931;-60.285,-55.769,90.021;-59.992,-54.47,89.896;-60.346,-56.348,91.22;-60.077,-55.688,92.499;-61.226,-54.858,93.056;-60.816,-54.099,94.319;-60.216,-55.001,95.411;-61.191,-55.967,95.861;-60.9,-57.096,96.525;-59.484,-57.487,96.933;-61.82,-57.847,96.816;-59.687,-54.18,96.571;-60.377,-53.982,97.558;-58.445,-53.722,96.442;-57.808,-52.914,97.473;-58.043,-51.449,97.118;-57.56,-50.975,96.088;-58.819,-50.764,97.952;-59.196,-49.377,97.728;-58.661,-48.571,98.903;-58.682,-49.05,100.038;-58.169,-47.362,98.624;-57.813,-46.397,99.658;-56.313,-46.124,99.708;-55.503,-47.34,100.048;-55.36,-47.76,101.37;-54.63,-48.905,101.685;-54.046,-49.65,100.68;-53.315,-50.791,101.004;-54.183,-49.251,99.356;-54.918,-48.107,99.048;-58.522,-45.088,99.38;-58.46,-44.573,98.251;-59.144,-44.54,100.417;-59.661,-43.184,100.354;-60.507,-42.882,101.595;-59.693,-42.883,102.763;-58.501,-42.21,100.294;-57.368,-42.547,100.657;-58.8,-40.986,99.867;-57.87,-39.889,99.944;-58.596,-38.609,99.509;-57.729,-37.382,99.542;-58.456,-36.19,98.956;-57.525,-35.091,98.895;-57.214,-34.279,99.903;-57.786,-34.401,101.108;-56.308,-33.319,99.698;-55.8691,-33.219,98.7827;-57.216,-39.727,101.352;-55.99,-39.616,101.438;-58.01,-39.71,102.453;-57.554,-39.571,103.832;-57.004,-38.146,103.995;-58.799,-39.748,104.706;-58.523,-39.714,106.218;-58.263,-41.081,106.843;-57.717,-40.962,108.249;-56.627,-41.134,109.022;-55.365,-41.751,108.389;-54.423,-40.664,107.869;-53.181,-41.303,107.235;-52.148,-40.348,106.641;-51.885,-39.136,107.561;-50.886,-41.179,106.48;-49.985,-41.068,107.341;-50.792,-41.966,105.482;-49.615,-42.828,105.295;-50.054,-44.022,104.434;-50.992,-45.022,105.124;-51.617,-45.964,104.111;-50.285,-45.817,106.217;-48.383,-42.17,104.704;-47.358,-42.819,104.586;-48.463,-40.893,104.347;-47.285,-40.134,104.015;-47.683,-38.783,103.424;-46.506,-37.971,102.904;-46.955,-36.693,102.204;-45.764,-35.906,101.668;-45.016,-35.193,102.748;-46.426,-39.973,105.295;-47.031,-40.053,106.58;-45.237,-39.829,105.22;-52.593,-39.927,105.311;-51.839,-39.218,104.422;-50.703,-38.816,104.687;-52.394,-38.897,103.026;-53.237,-37.619,103.063;-53.625,-37.043,101.701;-54.509,-35.823,101.87;-52.408,-36.707,100.867;-53.154,-39.994,102.422;-52.527,-41.119,102.067;-51.334,-41.302,102.287;-53.356,-42.223,101.469;-53.6,-41.972,99.984;-54.218,-43.176,99.273;-54.689,-42.787,97.876;-53.235,-44.352,99.217;-54.611,-42.431,102.192;-54.611,-42.852,103.458;-53.581,-43.118,104.099;-55.98,-43.015,104.105;-56.633,-44.276,103.55;-57.652,-44.934,104.458;-58.223,-46.193,103.818;-57.841,-47.346,104.349;-58.98,-46.124,102.834;-56.862,-41.865,103.839;-56.544,-40.667,104.144;-55.461,-40.372,104.682;-60.741,-49.234,97.606;-61.195,-47.794,97.817;-61.234,-49.619,96.208;-60.902,-50.997,95.736;-56.299,-53.194,97.592;-55.709,-52.383,98.751;-56.042,-54.695,97.797;-54.591,-55.09,97.656)| +COCCN(C)S(=O)(=O)c1cc(NC(C)=O)ccc1Cl |(18.976,-2.946,13.824;19.274,-2.522,15.185;18.517,-1.298,15.457;18.906,-0.516,16.76;17.88,-0.716,17.817;16.572,-0.098,17.523;17.784,-2.465,18.251;17.36,-2.526,19.718;19.298,-2.825,18.094;16.49,-3.659,17.234;16.933,-4.683,16.391;16.056,-5.526,15.642;16.547,-6.51,14.853;17.836,-6.436,14.37;18.286,-7.622,13.629;18.581,-5.464,14.361;14.674,-5.378,15.789;14.205,-4.379,16.634;15.098,-3.539,17.344;14.497,-2.332,18.323)| +NC(=O)c1cccc2c1O/C(=C\c1ccc(C(=O)N3CCn4c(nnc4C4C=C4)C3)cc1)C2=O |(24.87,-6.042,12.831;25.504,-4.928,13.207;25.167,-4.269,14.205;26.663,-4.474,12.383;27.457,-3.46,12.921;28.578,-3.011,12.25;28.923,-3.546,11.02;28.136,-4.549,10.463;27.019,-5.017,11.144;26.437,-6.07,10.464;27.169,-6.32,9.319;26.836,-7.216,8.387;25.636,-8.021,8.198;25.605,-8.774,7.023;24.494,-9.519,6.677;23.38,-9.565,7.511;22.174,-10.325,7.06;21.165,-9.711,6.774;22.282,-11.654,6.852;21.282,-12.442,6.116;20.558,-13.418,7.046;21.282,-13.526,8.331;22.569,-13.093,8.539;22.934,-13.284,9.783;21.853,-13.873,10.439;20.888,-14.013,9.556;19.547,-14.633,9.809;19.063,-15.745,8.916;19.423,-16.044,10.319;23.354,-12.469,7.421;23.415,-8.851,8.706;24.521,-8.088,9.041;28.286,-5.378,9.248;29.125,-5.302,8.351)| +O=C(O)c1ccccc1-n1cccc1 |(-11.687,-28.983,-15.441;-11.42,-30.172,-15.133;-12.334,-31.005,-14.891;-9.959,-30.586,-15.035;-9.254,-29.977,-14.012;-7.922,-30.268,-13.834;-7.291,-31.168,-14.664;-7.988,-31.785,-15.691;-9.324,-31.493,-15.891;-9.96,-32.08,-16.9;-9.976,-33.38,-17.146;-10.731,-33.596,-18.29;-11.155,-32.356,-18.734;-10.631,-31.43,-17.845)| +Cc1cccc(C(=O)NNS(=O)(=O)c2ccc3ccccc3c2)c1F |(7.342,14.379,21.549;7.129,14.048,20.111;7.697,14.812,19.105;7.478,14.474,17.775;6.719,13.357,17.46;6.17,12.588,18.473;5.323,11.419,18.105;5.565,10.795,17.086;4.215,11.093,18.958;3.358,10.078,18.693;3.658,8.737,19.573;5.062,8.528,19.783;3.085,7.608,18.92;2.892,8.851,21.157;3.333,9.815,22.052;2.733,9.903,23.308;1.676,9.02,23.675;1.081,9.123,24.974;0.045,8.257,25.321;-0.405,7.294,24.407;0.187,7.189,23.147;1.248,8.072,22.79;1.867,7.976,21.508;6.377,12.939,19.802;5.858,12.23,20.803)| +Cc1ccc(NC(=O)CN2C(=O)NC(C)(C)C2=O)cc1S(=O)(=O)N1CCCCCC1 |(-20.816,43.24,9.822;-21.511,44.496,9.366;-20.823,45.409,8.568;-21.402,46.578,8.108;-22.714,46.885,8.441;-23.264,48.094,7.942;-24.545,48.53,8.004;-25.463,47.917,8.541;-24.781,49.881,7.352;-26.142,50.368,7.512;-26.578,51.153,8.574;-25.888,51.536,9.51;-27.895,51.406,8.378;-28.415,50.789,7.155;-29.498,49.757,7.479;-28.916,51.85,6.172;-27.162,50.106,6.625;-27.063,49.444,5.608;-23.432,45.991,9.228;-22.842,44.82,9.687;-23.837,43.745,10.692;-23.134,43.522,11.916;-24.214,42.632,9.881;-25.214,44.532,11.081;-25.164,45.518,12.18;-26.442,46.303,12.407;-27.668,45.461,12.69;-28.403,44.976,11.469;-27.599,44.099,10.534;-26.28,44.658,10.067)| +CCC(=O)N1CC(NC(=O)COc2ccc(Br)cc2C(=O)N2CC=C(c3ccccc3)C2)C1 |(2.315,72.053,-27.975;2.003,72.042,-29.535;0.537,72.47,-29.696;-0.342,71.751,-29.453;0.197,73.781,-30.171;-1.051,74.524,-30.483;-0.249,75.687,-30.946;-0.04,75.883,-32.355;-0.888,76.667,-33.186;-1.842,77.178,-32.746;-0.479,76.75,-34.645;-0.995,77.885,-35.26;-2.277,77.696,-35.766;-2.966,76.519,-35.516;-4.24,76.341,-36.018;-4.823,77.352,-36.767;-6.613,77.148,-37.477;-4.134,78.527,-36.999;-2.862,78.691,-36.517;-2.115,79.992,-36.764;-1.621,80.225,-37.8;-2.044,80.929,-35.671;-1.403,82.229,-35.634;-2.073,82.94,-34.437;-2.503,81.997,-33.61;-2.997,82.218,-32.184;-3.567,81.176,-31.484;-4.01,81.373,-30.195;-3.883,82.604,-29.603;-3.316,83.645,-30.302;-2.875,83.449,-31.592;-2.63,80.711,-34.358;0.966,74.98,-30.529)| +COc1cc(/C=C/C(=O)O)ccc1O |(-22.732,18.749,-14.63;-22.784,18.885,-13.223;-22.89,17.679,-12.5;-22.768,16.453,-13.132;-22.902,15.295,-12.367;-22.751,13.92,-12.95;-22.47,13.698,-14.233;-22.293,12.257,-14.613;-22.25,11.948,-15.823;-22.116,11.396,-13.696;-23.124,15.367,-11.008;-23.241,16.584,-10.371;-23.129,17.735,-11.137;-23.242,18.975,-10.498)| +[H]/N=C(/N)NCCC[C@H]([NH3+])C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](C)C(=O)N[C@H](C(=O)N[C@H](C(=O)N1CCC[C@H]1C(=O)N[C@@H](CC(=O)O)C(=O)O)C(C)C)C(C)C |(-3.3723,3.8421,-31.7177;-3.731,2.918,-31.958;-3.059,1.833,-31.601;-3.532,0.635,-31.913;-1.916,1.945,-30.929;-1.313,3.218,-30.544;-0.066,3.048,-29.687;-0.408,2.51,-28.31;0.553,2.972,-27.215;1.839,2.3,-27.339;-0.067,2.726,-25.845;-0.111,1.598,-25.36;-0.552,3.798,-25.233;-1.072,3.767,-23.875;-0.373,4.834,-23.03;1.086,4.533,-22.784;1.458,3.538,-21.893;2.779,3.248,-21.659;3.753,3.953,-22.327;5.076,3.666,-22.095;3.412,4.947,-23.218;2.084,5.231,-23.444;-2.572,4.003,-23.879;-3.088,4.798,-24.669;-3.26,3.289,-22.995;-4.695,3.447,-22.806;-5.054,4.83,-22.256;-5.477,3.135,-24.073;-6.533,3.722,-24.319;-4.977,2.209,-24.881;-5.667,1.745,-26.076;-6.222,0.355,-25.791;-5.485,-0.543,-25.369;-7.519,0.189,-25.998;-8.185,-1.082,-25.692;-7.736,-2.136,-26.69;-7.649,-1.845,-27.894;-7.441,-3.357,-26.254;-7.329,-3.797,-24.854;-6.786,-5.191,-24.963;-7.006,-5.672,-26.339;-7.156,-4.428,-27.22;-8.311,-4.587,-28.2;-9.481,-4.437,-27.839;-7.983,-4.898,-29.447;-9.018,-5.126,-30.456;-8.409,-5.622,-31.767;-7.254,-4.764,-32.233;-7.46,-3.919,-33.128;-6.137,-4.935,-31.7;-10.04,-6.146,-29.951;-9.811,-7.357,-30.01;-11.118,-5.782,-29.473;-9.703,-0.889,-25.732;-10.423,-2.192,-25.463;-10.144,0.162,-24.714;-4.744,1.749,-27.3;-5.46,1.145,-28.488;-4.303,3.16,-27.614)| +CCn1c2ccc(C[NH2+]C)cc2c2ccc(-c3cnoc3)cc21 |(93.276,92.905,-41.673;91.774,93.109,-41.782;91.465,94.315,-42.534;91.4,95.602,-42.025;91.59,96.091,-40.721;91.461,97.469,-40.519;91.138,98.338,-41.574;91.01,99.817,-41.354;89.638,100.27,-40.993;89.587,101.709,-40.627;90.962,97.826,-42.868;91.088,96.444,-43.096;90.97,95.633,-44.263;90.68,95.911,-45.61;90.638,94.847,-46.528;90.878,93.521,-46.134;90.856,92.425,-47.081;90.448,92.357,-48.428;90.621,91.14,-48.949;91.165,90.375,-47.923;91.308,91.152,-46.817;91.181,93.247,-44.793;91.212,94.313,-43.888)| +CC(=O)Nc1ccc(Cl)c(S(=O)(=O)N2CCOCC2)c1 |(15.846,12.335,36.863;14.513,12.439,37.652;13.982,13.522,37.853;14.097,11.315,38.24;13.018,11.411,39.073;12.258,10.307,39.329;11.2,10.396,40.214;10.948,11.54,40.909;9.756,11.52,41.819;11.712,12.667,40.682;11.385,14.252,41.513;12.402,15.214,41.209;11.197,13.68,42.852;10.167,14.879,41.049;9.753,16.179,41.676;8.219,16.356,41.562;7.838,16.132,40.185;9.011,16.196,39.286;10.032,15.041,39.596;12.764,12.594,39.785)| +CCC(CC)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@H](O)CO)cc1 |(73.321,52.02,13.932;73.661,53.506,13.509;72.921,54.552,14.412;73.257,54.4,15.91;74.754,54.329,16.129;71.343,54.353,14.218;70.561,55.366,15.038;70.197,56.632,14.351;71.114,57.773,14.869;70.974,58.887,14.054;70.745,58.119,16.307;69.382,58.794,16.4;69.152,59.19,17.899;69.351,60.628,18.354;69.129,61,19.825;68.716,59.93,20.827;68.524,58.498,20.373;68.745,58.124,18.898;71.735,59.083,16.816;72.769,58.695,17.779;72.748,57.646,18.34;73.813,59.659,18.008;74.689,59.479,19.238;75.833,59.898,18.941;75.648,61.534,18.974;74.861,61.792,19.976;73.643,62.703,19.562;72.606,61.909,19.481;72.924,60.653,20.447;74.254,60.458,20.392;69.335,54.688,16.072;68.414,55.708,16.591;69.892,54.08,17.273;68.483,53.452,14.967;68.861,51.986,15.062;68.184,50.974,14.139;67.151,51.45,13.133;66.484,50.451,12.21;66.392,51.028,10.954;65.081,50.103,12.727;64.712,48.842,12.229;66.785,52.925,13.025;67.459,53.939,13.945)| +CCC(=O)N(Cc1cc(C)no1)c1nc(-c2ccccc2)cs1 |(28.16,1.835,8.612;27.402,3.126,8.388;27.592,4.113,9.52;28.462,3.952,10.363;26.772,5.259,9.574;26.424,5.9,8.305;24.982,6.253,8.201;23.903,5.481,8.019;22.78,6.322,8.084;21.331,5.953,7.998;23.186,7.596,8.285;24.603,7.538,8.354;26.589,5.993,10.746;25.998,7.154,10.716;25.729,7.593,11.992;24.921,8.815,12.144;23.992,8.926,13.176;23.07,9.959,13.18;23.116,10.94,12.212;24.057,10.867,11.208;24.948,9.809,11.161;26.175,6.769,12.978;26.937,5.366,12.331)| +Oc1ccc(-c2n[nH]c(=S)n2-c2ccccc2F)c(O)c1 |(64.649,31.749,28.188;64.557,32.502,27.068;65.725,32.965,26.453;65.645,33.749,25.313;64.379,34.065,24.777;64.261,34.976,23.621;63.531,34.78,22.557;63.678,35.899,21.729;64.486,36.769,22.355;64.977,38.291,21.76;64.854,36.227,23.531;65.701,36.836,24.481;65.194,37.342,25.68;66.05,37.928,26.612;67.416,38.008,26.352;67.928,37.505,25.156;67.073,36.916,24.223;67.551,36.419,23.059;63.207,33.609,25.409;61.988,33.916,24.892;63.299,32.828,26.558)| +CCC(=O)N1CC(NC(=O)Cn2c(C3CC3)c(C(=O)N3CCc4c(cccc4OC)C3)c3cc(Cl)cc(C)c32)C1 |(-1.714,-14.467,25.034;-0.367,-15.109,25.404;0.535,-14.167,26.234;1.224,-13.358,25.715;0.531,-14.282,27.688;-0.203,-15.154,28.654;0.428,-14.408,29.776;1.226,-15.374,30.543;1.752,-15.024,31.862;1.545,-13.937,32.309;2.582,-16.082,32.649;3.047,-15.415,33.875;2.413,-15.475,35.063;1.106,-16.243,35.399;-0.18,-15.585,34.872;-0.122,-16.095,36.311;3.153,-14.703,35.967;2.857,-14.449,37.487;3.045,-15.316,38.278;2.395,-13.107,37.916;2.082,-12.809,39.314;0.534,-12.712,39.431;-0.071,-11.911,38.229;0.667,-11.59,37.106;0.062,-10.844,36.037;-1.277,-10.438,36.141;-2.026,-10.763,37.286;-1.442,-11.486,38.339;-2.176,-11.829,39.508;-3.216,-10.943,39.907;2.134,-12.03,36.99;4.278,-14.157,35.249;5.35,-13.311,35.669;6.315,-12.95,34.711;7.644,-11.88,35.191;6.237,-13.404,33.38;5.183,-14.238,32.979;5.14,-14.715,31.512;4.186,-14.619,33.958;1.229,-13.589,28.821)| +O=C1CCC(=O)CC1 |(45.38,49.379,465.291;45.03,49.905,464.291;44.786,51.414,464.269;44.311,52.137,463.016;44.097,51.32,461.726;43.745,51.83,460.685;44.347,49.806,461.759;44.805,49.092,463.027)| +CCCCNC(=O)c1cc(S(N)(=O)=O)c(Cl)cc1Cl |(17.859,-5.852,-16.05;18.877,-5.215,-16.992;20.063,-4.658,-16.22;19.665,-3.348,-15.59;19.998,-2.222,-16.484;19.599,-1.008,-16.157;18.875,-0.817,-15.155;19.942,0.141,-17.021;20.471,1.268,-16.398;20.746,2.398,-17.081;21.373,3.807,-16.118;21.798,3.52,-14.543;22.582,4.275,-16.826;20.325,4.833,-16.078;20.573,2.434,-18.476;20.919,3.879,-19.374;20.077,1.325,-19.116;19.785,0.176,-18.387;19.152,-1.188,-19.318)| +Cc1ccc(C/C(=C\CO[P@@](=O)(O)OP(=O)(O)O)CO)cc1 |(30.727,233.36,36.075;30.088,232.777,34.812;29.553,231.491,34.832;28.918,230.997,33.695;28.893,231.757,32.539;28.295,231.195,31.27;29.486,230.745,30.424;29.857,229.481,30.318;29.164,228.31,31.034;28.39,227.552,30.16;27.578,226.246,30.759;26.523,226.657,31.737;27.09,225.296,29.682;28.694,225.449,31.611;29.904,224.622,30.894;31.091,224.867,31.705;29.506,223.223,31.023;30.167,224.953,29.316;30.307,231.839,29.759;31.071,231.376,28.7;29.408,233.04,32.529;30.004,233.557,33.672)| +CC(C)C[C@H](NC(=O)[C@H](CC(=O)O)NC(=O)[C@@H]([NH3+])[C@@H](C)O)C(=O)N1CCC[C@H]1C(=O)N[C@@H](COP(=O)(O)O)C(=O)N[C@@H](CC(=O)O)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H](CO)C(=O)O |(14.545,4.536,-0.848;14.008,4.302,0.528;14.868,3.26,1.184;13.993,5.603,1.326;13.034,5.778,2.53;13.581,5.143,3.726;13.447,5.557,5.003;12.898,6.619,5.323;14.034,4.575,6.056;13.657,4.937,7.507;14.167,3.917,8.519;14.989,4.295,9.38;13.775,2.73,8.421;15.484,4.386,5.884;16.063,3.184,5.604;15.417,2.137,5.477;17.595,3.166,5.41;18.064,4.511,5.063;18.405,2.54,6.609;18.311,1.008,6.663;19.787,2.929,6.578;11.645,5.154,2.272;11.426,4.05,2.751;10.681,5.795,1.57;10.713,7.123,0.932;9.582,7.045,-0.056;8.546,6.242,0.664;9.343,5.184,1.428;9.285,3.849,0.714;10.027,3.636,-0.244;8.374,2.967,1.187;8.087,1.627,0.658;7.023,0.957,1.513;7.305,1.007,2.905;6.381,1.902,3.764;4.934,1.951,3.356;6.483,1.263,5.137;6.892,3.358,3.701;7.363,1.763,-0.667;7.431,0.854,-1.5;6.663,2.906,-0.853;5.906,3.232,-2.054;4.608,3.972,-1.69;3.665,3.153,-0.832;3.457,3.528,0.342;3.152,2.121,-1.327;6.762,4.064,-3.017;7.471,4.975,-2.562;6.711,3.765,-4.347;5.939,2.709,-5.023;6.633,2.576,-6.326;7.154,3.896,-6.66;7.517,4.532,-5.321;7.179,6.015,-5.348;6.056,6.371,-4.977;8.117,6.894,-5.784;9.485,6.619,-6.278;9.857,7.875,-6.988;9.131,8.973,-6.277;7.807,8.344,-5.835;6.65,8.691,-6.788;6.525,8.082,-7.871;5.78,9.628,-6.339;4.582,10.108,-7.041;3.462,10.399,-6.044;3.944,10.969,-4.836;4.866,11.339,-7.9;4.303,11.475,-8.986;5.658,12.195,-7.506)| +[NH3+]C[C@H]1O[C@H](O[C@@H]2[C@@H]([NH3+])C[C@@H]([NH3+])[C@H](O[C@H]3O[C@H](CO)[C@@H](O)[C@H]([NH3+])[C@H]3O)[C@H]2O)[C@H]([NH3+])[C@@H](O)[C@@H]1O |(110.251,-20.814,-10.171;109.06,-21.452,-9.627;108.594,-20.681,-8.423;108.365,-19.319,-8.886;107.907,-18.427,-7.809;108.796,-18.42,-6.747;110.068,-17.805,-6.918;110.749,-17.977,-5.555;110.913,-19.415,-5.302;112.096,-17.26,-5.47;111.918,-15.778,-5.8;113.194,-15.079,-5.663;111.382,-15.634,-7.225;111.195,-14.265,-7.513;112.107,-13.674,-8.386;111.647,-13.787,-9.762;110.323,-13.141,-9.942;109.846,-13.387,-11.329;110.661,-12.758,-12.245;110.43,-11.666,-9.564;109.127,-11.085,-9.747;110.894,-11.508,-8.156;111.008,-10.047,-7.808;112.215,-12.204,-7.997;112.62,-12.178,-6.647;110.021,-16.328,-7.36;109.62,-16.261,-8.716;106.578,-18.994,-7.336;106.038,-18.063,-6.289;106.723,-20.365,-6.794;105.398,-20.834,-6.373;107.316,-21.289,-7.821;107.668,-22.572,-7.285)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4cc(F)c(F)c(F)c4)nn3)[C@H]2O)cc1 |(-24.557,9.13,-6.198;-23.581,9.356,-5.109;-23.125,8.312,-4.306;-22.226,8.562,-3.29;-21.749,9.867,-3.023;-20.587,10.3,-1.759;-19.574,8.859,-1.676;-20.112,7.896,-0.811;-19.469,6.644,-0.884;-20.173,5.67,0.045;-21.507,5.438,-0.439;-17.966,6.795,-0.588;-17.781,7.161,0.723;-17.345,7.84,-1.549;-15.94,7.973,-1.332;-15.26,8.405,-0.232;-13.927,8.35,-0.531;-12.779,8.631,0.258;-11.533,8.793,-0.327;-10.415,9.062,0.443;-9.219,9.24,-0.111;-10.51,9.098,1.811;-9.438,9.334,2.564;-11.753,8.917,2.384;-11.799,8.916,3.71;-12.857,8.664,1.641;-13.825,7.883,-1.832;-15.018,7.643,-2.305;-18.106,9.167,-1.496;-17.614,10.043,-2.46;-22.173,10.886,-3.831;-23.094,10.663,-4.855)| +OC[C@H]1O[C@@H](S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4ccccc4)nn3)[C@H]2O)[C@H](O)[C@@H](O)[C@@H]1O |(-24.749,12.141,-4.242;-24.717,10.725,-4.335;-24.476,10.191,-2.895;-23.178,10.535,-2.491;-22.728,9.981,-1.266;-21.029,10.486,-0.947;-20.055,9.066,-1.508;-20.481,7.937,-0.785;-19.837,6.718,-1.133;-20.446,5.594,-0.306;-21.832,5.479,-0.603;-18.349,6.86,-0.865;-18.095,7.112,0.513;-17.821,8.066,-1.67;-16.392,8.179,-1.476;-15.686,8.485,-0.255;-14.3,8.436,-0.635;-13.128,8.621,0.174;-13.189,8.538,1.547;-12.078,8.689,2.359;-10.842,8.907,1.786;-10.736,8.962,0.403;-11.877,8.823,-0.382;-14.333,8.099,-2.004;-15.52,7.946,-2.453;-18.59,9.365,-1.304;-18.193,10.369,-2.233;-23.657,10.36,-0.093;-23.271,9.701,1.098;-25.106,10.033,-0.45;-25.956,10.599,0.54;-25.493,10.676,-1.868;-26.777,10.149,-2.223)| +O=C(NCc1ccc(Oc2ccccc2)cc1)c1cnc(-n2cccn2)[nH]c1=O |(6.359,23.291,29.713;6.614,22.694,28.726;7.457,21.538,28.814;7.94,21.136,30.121;9.189,21.863,30.569;9.794,21.445,31.739;10.936,22.086,32.175;11.455,23.143,31.451;12.617,23.804,31.857;12.792,23.863,33.249;13.962,23.372,33.785;14.173,23.428,35.148;13.21,23.979,35.975;12.034,24.476,35.44;11.827,24.423,34.07;10.844,23.552,30.279;9.7,22.911,29.832;6.023,23.119,27.387;5.291,24.285,27.26;4.769,24.605,26.093;4.907,23.824,25.05;4.304,24.226,23.796;4.274,23.492,22.71;3.618,24.225,21.756;3.254,25.443,22.324;3.68,25.435,23.59;5.583,22.69,25.111;6.13,22.315,26.258;6.844,21.124,26.333)| +CN(C)S(=O)(=O)c1cc(NC(=O)CN2C(=O)N[C@@]3(CCCc4ccccc43)C2=O)ccc1Cl |(-26.728,44.155,9.569;-25.898,44.213,10.781;-26.264,45.228,11.78;-24.393,43.6,10.755;-24.455,42.37,10.03;-23.925,43.597,12.11;-23.381,44.719,9.796;-23.984,45.88,9.309;-23.252,46.802,8.561;-23.763,47.995,7.982;-25.006,48.545,8.037;-25.941,48.069,8.672;-25.153,49.817,7.198;-26.195,50.834,7.357;-26.409,51.582,8.506;-25.83,51.445,9.569;-27.406,52.462,8.234;-27.886,52.418,6.851;-27.518,53.71,6.088;-28.603,54.773,6.102;-29.83,54.221,5.419;-30.283,52.955,6.089;-31.634,52.616,6.052;-32.096,51.464,6.659;-31.219,50.635,7.315;-29.87,50.951,7.368;-29.381,52.102,6.751;-27.018,51.245,6.33;-27.01,50.803,5.195;-21.92,46.542,8.263;-21.308,45.399,8.736;-22.021,44.488,9.496;-21.187,43.058,10.032)| +Cc1nnc2n1C1=C(CC(c3cnn(C)c3)CC1)[C@H](Nc1ccc(Cl)cc1)CC2 |(19.293,9.296,-6.758;20.23,8.831,-7.864;21.402,8.232,-7.711;21.929,7.957,-8.925;21.048,8.426,-9.829;20.012,8.956,-9.196;18.84,9.546,-9.924;19.138,10.513,-11.013;17.963,11.161,-11.803;16.5,10.795,-11.452;15.373,11.452,-12.26;15.577,12.315,-13.307;14.391,12.692,-13.78;13.411,12.059,-13.028;11.982,12.229,-13.226;14.014,11.306,-12.103;16.205,9.777,-10.312;17.375,9.144,-9.543;20.586,10.929,-11.413;20.564,11.921,-12.481;20.177,13.289,-12.201;20.151,14.314,-13.33;19.737,15.746,-13.022;19.355,16.122,-11.596;18.87,17.784,-11.24;19.373,15.107,-10.468;19.788,13.675,-10.777;21.478,9.781,-11.894;21.083,8.415,-11.37)| +O=C(O)c1cccc(-c2cc(O)c(O)c(C(=O)O)n2)c1 |(-24.386,21.659,18.232;-23.725,21.68,17.171;-24.263,22.03,16.083;-22.382,21.312,17.183;-21.451,21.946,18.023;-20.111,21.556,17.985;-19.721,20.536,17.111;-20.665,19.87,16.307;-20.217,18.913,15.4;-20.8,18.916,14.127;-20.327,18.049,13.164;-20.884,18.011,11.912;-19.257,17.219,13.489;-18.815,16.394,12.527;-18.666,17.22,14.776;-17.6,16.397,15.22;-17.409,16.232,16.435;-16.834,15.787,14.45;-19.177,18.086,15.677;-21.986,20.297,16.317)| +CC(C)[C@H](NC(=O)CNC(=O)[C@H](Cc1ccccc1)NC(=O)C[NH3+])C(=O)N[C@H](C(=O)N1CCC[C@H]1C(=O)N[C@@H](CO)C(=O)N[C@@H](Cc1ccccc1)C(=O)O)C(C)C |(-5.441,-1.219,28.511;-4.741,-1.863,27.325;-4.299,-3.268,27.679;-5.673,-1.89,26.103;-4.985,-2.394,24.914;-5.512,-3.306,24.1;-6.611,-3.84,24.311;-4.726,-3.682,22.868;-3.326,-3.324,22.931;-2.493,-3.976,23.728;-2.855,-4.89,24.477;-1.028,-3.559,23.653;-0.227,-4.611,22.877;-0.671,-4.747,21.426;-0.07,-3.998,20.413;-0.508,-4.1,19.073;-1.549,-4.947,18.754;-2.169,-5.693,19.758;-1.723,-5.584,21.089;-0.511,-3.367,25;-0.975,-2.37,25.757;-1.845,-1.573,25.364;-0.392,-2.241,27.151;-0.794,-3.329,28.026;-6.209,-0.496,25.801;-5.46,0.392,25.368;-7.5,-0.301,26.047;-8.149,0.973,25.711;-7.645,2.061,26.655;-7.512,1.798,27.864;-7.359,3.267,26.171;-7.313,3.678,24.75;-6.427,4.888,24.756;-6.498,5.475,26.082;-6.827,4.328,27.045;-7.813,4.82,28.098;-8.988,4.467,28.146;-7.265,5.701,28.946;-8.026,6.543,29.855;-7.875,6.061,31.313;-8.863,5.095,31.631;-7.555,7.991,29.706;-6.39,8.257,29.38;-8.489,8.918,29.916;-8.227,10.364,29.953;-8.945,10.97,31.176;-8.536,10.344,32.487;-7.65,10.992,33.337;-7.257,10.411,34.531;-7.746,9.177,34.887;-8.627,8.517,34.051;-9.02,9.1,32.86;-6.743,10.74,29.995;-6.231,11.241,31.003;-6.002,10.557,29.022;-9.672,0.825,25.798;-10.348,2.18,25.625;-10.167,-0.185,24.732)| +[H]/N=C(/N)NCCC[C@H](NC(=O)[C@H](CCCC[NH3+])NC(=O)[C@H](CCCC[NH3+])NC(C)=O)C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCN/C(N)=N\[H])C(=O)N[C@]1(C)CCC/C=C\CCC[C@](C)(C(=O)N[C@@H](Cc2ccccc2)C(N)=O)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCC(N)=O)NC1=O |(0.5909,13.0795,11.9864;0.871,13.368,11.049;0.466,12.672,9.99;0.83,13.06,8.766;-0.306,11.599,10.168;-0.821,10.758,9.093;-1.549,9.538,9.615;-2.045,8.722,8.446;-2.805,7.463,8.85;-1.907,6.505,9.485;-2.123,6.028,10.699;-3.052,6.384,11.407;-1.09,5.048,11.233;-1.77,3.852,11.897;-0.841,2.664,12.113;-1.501,1.551,12.913;-1.155,1.631,14.394;-2.01,0.767,15.26;-0.243,5.789,12.17;1.093,5.705,12.081;1.646,4.801,11.51;1.947,6.772,12.756;1.72,6.717,14.259;1.892,5.343,14.914;3.161,4.62,14.509;4.439,5.344,14.923;5.547,4.969,14.012;1.72,8.098,12.167;2.477,9.174,12.441;2.338,10.383,11.555;3.301,9.207,13.333;-3.429,6.824,7.625;-2.8,6,6.949;-4.673,7.199,7.341;-5.328,6.783,6.112;-6.38,5.705,6.365;-5.853,4.413,6.94;-5.76,4.226,8.319;-5.286,3.029,8.851;-4.922,1.995,8.011;-4.461,0.819,8.567;-5.038,2.142,6.639;-5.52,3.341,6.115;-6.02,7.98,5.529;-6.699,8.745,6.249;-5.879,8.135,4.22;-6.681,9.102,3.508;-6.139,9.317,2.111;-6.29,8.142,1.342;-8.126,8.65,3.414;-8.47,7.478,3.576;-8.971,9.614,3.123;-10.357,9.356,2.844;-11.006,10.689,2.497;-12.436,10.636,2.153;-12.849,12.002,1.639;-14.241,11.914,1.305;-14.717,11.519,0.132;-13.9,11.191,-0.872;-16.028,11.45,-0.027;-16.6489,11.6978,0.7434;-10.484,8.302,1.715;-11.237,7.327,1.873;-9.721,8.44,0.583;-9.901,7.405,-0.368;-8.761,7.892,-1.321;-11.082,7.543,-1.311;-11.075,6.754,-2.618;-12.501,6.547,-3.142;-12.421,5.855,-4.475;-12.709,4.567,-4.748;-13.203,3.556,-3.733;-12.03,3.01,-2.923;-12.367,1.688,-2.232;-12.131,1.634,-0.718;-10.578,1.569,-0.767;-12.357,0.298,-0.069;-12.572,-0.664,-0.827;-12.46,0.219,1.204;-12.742,-1.044,1.91;-12.295,-0.86,3.357;-10.835,-1.045,3.538;-10.31,-2.293,3.852;-8.945,-2.456,4.003;-8.091,-1.37,3.829;-8.609,-0.126,3.518;-9.972,0.022,3.371;-14.203,-1.475,1.868;-14.555,-2.447,0.894;-15.019,-1.016,2.662;-12.106,2.796,0.14;-13.346,3.063,0.628;-14.343,2.393,0.347;-13.544,4.276,1.532;-14.07,5.443,0.697;-14.624,6.641,1.46;-14.878,7.836,0.55;-15.89,6.281,2.209;-12.346,4.626,2.261;-11.907,3.836,3.234;-12.445,2.753,3.501;-10.687,4.324,4.014;-11.101,5.314,5.086;-9.982,5.634,6.089;-10.316,6.899,6.866;-9.691,4.479,7.029;-9.63,4.873,3.141;-9.024,4.05,2.282;-9.255,2.848,2.234;-7.977,4.654,1.346;-6.654,4.768,2.118;-5.449,5.04,1.248;-4.18,5.353,2.032;-3.061,4.835,1.545;-4.19,6.07,3.03;-8.378,5.968,0.864;-9.393,6.085,0.067;-10.107,5.089,-0.221)| +CC(C)C[C@H](NC(=O)[C@H](CC(=O)O)NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@@H]1CCCN1C(=O)[C@H](CC(=O)O)NC(=O)[C@@H]([NH3+])CCC(=O)O)C(=O)N[C@@H](CC(N)=O)C(=O)O |(55.051,109.349,22.088;54.024,110.33,21.519;52.892,109.567,20.861;53.445,111.28,22.573;52.726,112.497,22.005;53.685,113.543,21.663;53.466,114.383,20.655;52.372,114.484,20.092;54.617,115.299,20.281;54.259,116.75,20.616;54.064,116.997,22.114;53.144,116.394,22.711;54.813,117.818,22.692;54.895,115.18,18.857;55.676,114.221,18.351;56.235,113.362,19.044;55.852,114.225,16.835;55.234,112.968,16.21;53.758,112.784,16.526;52.823,113.714,16.115;51.489,113.559,16.409;51.064,112.477,17.129;49.728,112.342,17.411;51.96,111.534,17.559;53.306,111.692,17.257;57.276,114.318,16.537;57.896,115.476,16.304;57.316,116.567,16.253;59.393,115.404,16.093;60.157,115.24,17.411;60.519,116.674,17.828;60.246,117.597,16.661;59.912,116.664,15.577;60.138,116.791,14.306;59.717,115.963,13.49;60.898,118.014,13.837;60.219,118.586,12.595;58.782,118.998,12.857;58.016,119.129,11.874;58.419,119.179,14.043;62.272,117.612,13.57;63.24,117.698,14.489;63.08,118.227,15.591;64.587,117.077,14.104;65.642,118.08,13.954;64.982,116.021,15.146;63.874,115.038,15.427;63.708,114.048,14.291;62.721,114.168,13.537;64.601,113.195,14.112;51.71,113.087,22.982;51.673,112.782,24.176;50.882,113.975,22.432;49.848,114.646,23.2;50.451,115.778,24.014;49.911,115.815,25.403;50.71,115.357,26.363;48.767,116.225,25.618;48.738,115.191,22.313;47.677,115.572,22.804;48.888,115.257,21.094)| +CC(=O)NCC[NH2+]Cc1cc(C)c(OCc2cccc(-c3cccc(COc4cc(OCc5cncc(C#N)c5)c(C[NH2+]CCNC(C)=O)cc4C)c3C)c2C)cc1OCc1cncc(C#N)c1 |(-5.489,-30.04,-2.152;-4.817,-30.223,-3.477;-4.012,-31.124,-3.678;-5.135,-29.342,-4.422;-4.127,-28.649,-5.204;-2.748,-28.953,-4.67;-1.752,-28.1,-5.309;-2.17,-26.708,-5.371;-2.395,-26.227,-6.778;-3.468,-25.413,-7.093;-3.697,-24.961,-8.382;-4.847,-24.048,-8.689;-2.82,-25.362,-9.372;-3.143,-24.887,-10.605;-2.2,-25.074,-11.645;-2.751,-24.482,-12.91;-3.35,-23.231,-12.889;-3.827,-22.66,-14.047;-3.718,-23.33,-15.245;-3.126,-24.587,-15.286;-3.023,-25.292,-16.595;-4,-26.224,-16.914;-3.959,-26.879,-18.124;-2.954,-26.606,-19.023;-1.968,-25.677,-18.726;-0.92,-25.38,-19.759;-1.488,-25.691,-21.027;-0.836,-25.219,-22.123;0.486,-24.851,-22.111;1.075,-24.383,-23.26;2.375,-23.992,-23.324;2.767,-22.937,-22.454;4.258,-22.955,-22.392;4.989,-23.984,-22.956;6.322,-24.061,-22.943;6.985,-23.074,-22.343;6.357,-21.988,-21.748;7.105,-20.93,-21.125;7.67,-20.077,-20.621;4.971,-21.939,-21.777;0.351,-24.274,-24.442;0.995,-23.745,-25.697;1.357,-22.332,-25.627;0.19,-21.453,-25.597;-0.561,-21.509,-26.907;0.219,-20.929,-27.986;0.985,-19.855,-27.817;0.728,-18.711,-28.747;1.85,-19.805,-26.95;-0.98,-24.657,-24.425;-1.598,-25.13,-23.278;-3.046,-25.525,-23.288;-1.982,-25.015,-17.495;-0.878,-24.055,-17.14;-2.638,-25.18,-14.115;-2.005,-26.545,-14.142;-1.742,-26.171,-9.092;-1.528,-26.593,-7.8;-0.466,-27.356,-7.42;0.603,-27.478,-8.349;1.709,-28.253,-7.707;2.33,-27.803,-6.558;3.337,-28.431,-5.945;3.762,-29.571,-6.481;3.207,-30.126,-7.623;3.646,-31.4,-8.131;4.009,-32.415,-8.505;2.167,-29.446,-8.243)| +CC(C)C[C@H]([NH3+])C(=O)N[C@@H](CO)C(=O)N[C@H](C(=O)N[C@@H](CCC(=O)O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CO)C(=O)N[C@H](C(=O)N[C@@H](CCC(=O)O)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)O)[C@@H](C)OP(=O)(O)O)[C@@H](C)O |(-2.175,0.802,-2.034;-1.441,1.803,-1.14;-0.985,1.172,0.144;-0.255,2.464,-1.863;-0.523,3.663,-2.801;0.732,4.355,-3.094;-1.595,4.62,-2.23;-1.264,5.495,-1.424;-2.879,4.435,-2.657;-4.034,5.237,-2.239;-5.302,4.831,-2.992;-5.974,3.726,-2.409;-4.261,5.19,-0.734;-4.017,4.16,-0.102;-4.728,6.312,-0.173;-4.976,6.477,1.26;-6.403,6.053,1.677;-6.71,6.062,2.876;-7.257,5.668,0.704;-8.645,5.309,0.996;-9.539,5.331,-0.271;-9.258,4.272,-1.332;-10.134,4.402,-2.568;-10.245,5.535,-3.088;-10.701,3.382,-3.026;-8.803,3.986,1.773;-9.667,3.913,2.655;-7.985,2.964,1.468;-8.079,1.665,2.139;-7.441,0.563,1.275;-8.028,-0.848,1.343;-9.509,-0.872,0.971;-7.299,-1.769,0.385;-7.488,1.729,3.554;-6.353,2.145,3.745;-8.295,1.387,4.549;-7.905,1.442,5.952;-9.138,1.626,6.84;-8.804,1.75,8.213;-7.123,0.199,6.366;-7.415,-0.901,5.903;-6.137,0.384,7.254;-5.305,-0.685,7.822;-6.166,-1.547,8.747;-5.951,-2.754,8.851;-7.14,-0.913,9.415;-8.061,-1.582,10.327;-8.407,-0.689,11.544;-7.208,-0.173,12.335;-6.179,-1.189,12.81;-6.594,-2.24,13.357;-4.959,-0.918,12.663;-9.315,-2.022,9.582;-9.832,-1.235,8.788;-9.804,-3.273,9.794;-9.278,-4.324,10.688;-10.399,-5.315,10.755;-11.117,-5.212,9.471;-11.014,-3.735,9.078;-12.294,-2.967,9.425;-12.33,-2.316,10.473;-13.354,-3.014,8.573;-13.498,-3.753,7.303;-14.587,-3.02,6.603;-15.477,-2.48,7.659;-14.597,-2.283,8.903;-15.298,-2.786,10.163;-16.027,-2.036,10.804;-15.135,-3.942,10.54;-4.139,-0.046,8.641;-3.097,-1.086,9.16;-3.422,0.909,7.798;-3.505,2.433,8.138;-3.392,2.732,9.586;-2.375,3.077,7.339;-4.853,2.958,7.738;-4.622,7.923,1.69;-5.56,8.986,1.083;-4.613,8.002,3.119)| +COC(=O)CCCNC(=O)c1cc2c([nH]c1=O)CCC2 |(143.819,120.601,41.631;143.25,120.111,40.392;141.922,119.801,40.427;141.127,120.521,41.056;141.482,118.57,39.682;142.268,118.292,38.409;143.169,117.035,38.459;143.355,116.425,39.786;144.101,116.975,40.747;144.676,118.048,40.57;144.258,116.243,42.066;145.38,116.494,42.817;145.596,115.832,44.045;144.65,114.93,44.455;143.527,114.655,43.727;143.265,115.272,42.511;142.233,114.988,41.887;144.981,114.293,45.767;146.321,114.959,46.125;146.724,115.947,45.025)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4ccccc4F)nn3)[C@H]2O)cc1 |(-24.667,9.054,-5.824;-23.635,9.343,-4.886;-23.099,8.326,-4.135;-22.135,8.562,-3.176;-21.676,9.863,-2.855;-20.375,10.161,-1.651;-19.398,8.747,-1.645;-19.976,7.744,-0.763;-19.301,6.426,-0.718;-20.063,5.565,0.324;-21.384,5.297,-0.23;-17.811,6.593,-0.345;-17.728,7.055,0.895;-17.138,7.712,-1.36;-15.781,7.825,-1.157;-15.097,8.318,-0.059;-13.723,8.208,-0.324;-12.556,8.573,0.449;-11.28,8.775,-0.094;-10.15,9.123,0.625;-10.239,9.224,1.99;-11.463,9.022,2.562;-12.571,8.682,1.784;-13.682,8.478,2.458;-13.689,7.647,-1.603;-14.839,7.432,-2.05;-17.961,9.065,-1.252;-17.468,9.903,-2.252;-22.193,10.906,-3.607;-23.177,10.649,-4.582)| +C[C@@H](O)[C@H](NC(=O)[C@H](Cc1ccc(O)cc1)NC(=O)[C@H](CC(=O)O)NC(=O)[C@@H]([NH3+])CC(=O)O)C(=O)N1CCC[C@H]1C(=O)N[C@@H](CO)C(=O)O |(55.857,113.189,23.197;56.419,113.609,21.838;57.816,113.288,21.782;55.692,112.887,20.704;55.937,113.52,19.414;56.528,112.863,18.433;57.096,111.777,18.592;56.51,113.529,17.069;55.721,112.682,16.073;54.262,112.452,16.423;53.281,113.357,16.034;51.944,113.138,16.335;51.574,112.001,17.018;50.248,111.776,17.317;52.528,111.082,17.406;53.861,111.312,17.107;57.895,113.693,16.654;58.431,114.868,16.35;57.754,115.872,16.109;59.953,114.877,16.264;60.571,114.653,17.644;61.769,113.722,17.601;62.756,113.984,18.32;61.72,112.728,16.842;60.414,116.127,15.698;60.193,116.396,14.42;59.613,115.618,13.663;60.732,117.727,13.928;62.064,117.951,14.486;60.763,117.753,12.399;59.424,118.134,11.799;58.548,118.6,12.56;59.248,117.969,10.571;54.193,112.883,20.924;53.58,113.967,20.999;53.554,111.72,20.979;54.141,110.374,20.842;52.954,109.52,20.551;51.746,110.205,21.129;52.115,111.688,21.267;51.843,112.199,22.674;52.549,111.851,23.623;50.816,113.036,22.799;50.484,113.653,24.082;50.142,115.134,23.893;51.164,115.812,23.181;49.327,112.932,24.759;49.494,112.331,25.815;48.206,112.939,24.261)| +CC(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CCCNC(N)=[NH2+])C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCNC(N)=[NH2+])C(=O)N[C@@]1(C)CCCC=CCCC[C@@](C)(C(=O)N[C@@H](Cc2ccccc2)C(=O)N[C@@H](Cc2c[nH]c3ccccc23)C(N)=O)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CC(C)C)NC(=O)[C@H](CCC(N)=O)NC1=O |(-19.497,-28.783,28.997;-18.438,-29.762,28.519;-18.291,-29.935,27.32;-17.674,-30.457,29.377;-17.792,-30.432,30.828;-17.39,-31.792,31.462;-15.903,-32.119,31.63;-15.24,-32.549,30.329;-13.907,-33.242,30.554;-13.265,-33.567,29.251;-17.08,-29.242,31.488;-17.643,-28.642,32.401;-15.883,-28.868,31.02;-15.141,-27.763,31.649;-13.624,-27.917,31.46;-13.022,-29.172,32.081;-13.067,-29.148,33.605;-12.914,-30.541,34.195;-13.32,-30.562,35.629;-15.601,-26.392,31.156;-15.211,-25.945,30.075;-16.441,-25.742,31.96;-16.868,-24.369,31.724;-18.374,-24.293,31.475;-18.861,-25.074,30.259;-20.363,-25.344,30.331;-21.165,-24.127,30.166;-22.451,-23.982,30.51;-23.06,-22.812,30.293;-23.138,-24.975,31.082;-16.485,-23.527,32.936;-16.666,-23.956,34.078;-15.945,-22.34,32.679;-15.596,-21.389,33.724;-14.075,-21.16,33.771;-13.287,-22.408,34.084;-13.052,-22.795,35.407;-12.328,-23.941,35.702;-11.838,-24.727,34.676;-11.118,-25.871,34.966;-12.07,-24.371,33.355;-12.785,-23.217,33.067;-16.293,-20.065,33.477;-16.288,-19.55,32.344;-16.874,-19.501,34.535;-17.384,-18.133,34.485;-18.213,-17.806,35.729;-17.392,-17.78,36.889;-16.221,-17.153,34.392;-15.083,-17.484,34.745;-16.53,-15.948,33.932;-15.603,-14.816,33.948;-16.345,-13.548,33.537;-15.475,-12.321,33.44;-16.289,-11.129,32.994;-15.478,-9.923,33.032;-15.235,-9.187,34.116;-15.734,-9.506,35.309;-14.468,-8.11,34.004;-14.958,-14.598,35.322;-13.741,-14.432,35.414;-15.818,-14.58,36.354;-15.459,-14.402,37.765;-14.973,-12.953,37.943;-16.686,-14.625,38.664;-16.425,-14.551,40.182;-15.962,-15.838,40.87;-15.676,-15.542,42.332;-14.532,-15.79,42.975;-13.308,-16.438,42.36;-12.302,-15.409,41.843;-11.031,-16.116,41.336;-9.985,-15.202,40.676;-9.731,-13.992,41.582;-8.712,-16.036,40.558;-7.801,-15.88,41.374;-8.652,-16.89,39.609;-7.488,-17.772,39.396;-7.855,-18.882,38.391;-8.807,-19.94,38.923;-8.748,-20.398,40.249;-9.62,-21.385,40.704;-10.549,-21.939,39.838;-10.602,-21.517,38.518;-9.734,-20.531,38.067;-6.205,-17.07,38.926;-5.133,-17.672,38.987;-6.322,-15.83,38.457;-5.189,-14.961,38.113;-5.722,-13.653,37.501;-4.768,-12.813,36.686;-3.432,-13.003,36.513;-2.91,-12.018,35.711;-3.914,-11.16,35.346;-3.879,-10.011,34.541;-5.061,-9.336,34.343;-6.267,-9.773,34.935;-6.298,-10.911,35.742;-5.102,-11.624,35.953;-4.382,-14.656,39.374;-5.107,-14.55,40.6;-3.164,-14.537,39.328;-10.396,-14.761,39.334;-9.627,-14.027,38.51;-8.495,-13.648,38.811;-10.178,-13.705,37.114;-11.049,-12.444,37.125;-11.396,-11.878,35.743;-12.356,-10.703,35.881;-10.154,-11.447,34.966;-10.895,-14.835,36.521;-10.265,-15.961,36.19;-9.059,-16.129,36.382;-11.109,-17.078,35.587;-11.343,-16.857,34.08;-11.946,-18.061,33.345;-12.363,-17.661,31.936;-10.969,-19.229,33.299;-12.387,-17.248,36.298;-12.403,-17.597,37.583;-11.381,-17.793,38.239;-13.778,-17.763,38.225;-14.408,-19.042,37.679;-15.438,-19.705,38.569;-15.894,-21.037,37.991;-15.52,-22.126,38.649;-16.564,-21.083,36.952;-14.67,-16.643,37.919;-14.396,-15.42,38.14;-13.351,-15.047,38.648)| +C[C@@H]1c2cccc(C(N)=O)c2C(=O)N1C1CC[NH+](C2CCCCC2)CC1 |(6.84,21.755,22.72;8.182,21.396,22.08;9.378,21.853,22.696;9.763,21.746,23.979;10.989,22.24,24.387;11.828,22.835,23.446;11.451,22.946,22.095;12.453,23.528,21.224;12.125,24.007,19.993;13.641,23.528,21.572;10.198,22.43,21.76;9.509,22.364,20.611;9.891,22.814,19.536;8.287,21.825,20.714;7.312,21.733,19.536;6.274,22.862,19.711;5.424,22.935,18.485;4.72,21.656,18.253;3.672,21.856,17.231;3.561,23.341,16.792;2.523,23.518,15.676;1.14,23.097,16.206;1.193,21.626,16.696;2.315,21.384,17.749;5.626,20.477,18.072;6.646,20.349,19.249)| +O=C(NNS(=O)(=O)c1ccccc1)c1cccc(-c2ccccc2)c1F |(-5.514,-9.988,17.042;-5.188,-10.818,17.91;-4.099,-10.664,18.686;-3.173,-9.588,18.349;-3.324,-8.179,19.378;-2.547,-7.088,18.847;-4.753,-7.771,19.731;-2.626,-8.557,21.027;-3.264,-9.519,21.802;-2.763,-9.784,23.083;-1.561,-9.141,23.412;-0.943,-8.165,22.613;-1.484,-7.834,21.346;-5.996,-11.926,18.272;-6.266,-12.154,19.674;-7.106,-13.26,19.912;-7.671,-14.135,18.937;-7.33,-13.873,17.562;-7.79,-14.732,16.53;-7.799,-16.122,16.722;-8.154,-17.041,15.708;-8.657,-16.545,14.486;-8.694,-15.146,14.284;-8.22,-14.259,15.277;-6.485,-12.769,17.315;-6.155,-12.454,15.931)| +NC(=O)c1cccc2c1O[C@H](Cc1ccc(C(=O)N3CCN(c4ncccn4)CC3)cc1)C2=O |(25.271,-5.62,11.388;25.917,-4.518,11.822;25.471,-3.82,12.775;27.156,-4.091,11.084;27.916,-3.052,11.63;29.041,-2.562,10.978;29.433,-3.075,9.758;28.684,-4.108,9.199;27.576,-4.628,9.87;27.082,-5.734,9.216;27.85,-5.932,8.077;27.746,-6.995,7.274;26.594,-7.799,6.894;25.374,-7.814,7.577;24.38,-8.719,7.244;24.561,-9.624,6.202;23.516,-10.637,5.838;23.073,-10.629,4.723;23.115,-11.557,6.745;22.162,-12.607,6.349;21.008,-12.667,7.32;21.521,-12.877,8.676;21.127,-13.891,9.486;20.289,-14.804,8.951;19.958,-15.821,9.759;20.424,-15.95,11.047;21.258,-14.945,11.496;21.629,-13.898,10.742;22.435,-11.807,9.085;23.592,-11.715,8.128;25.763,-9.593,5.502;26.76,-8.696,5.847;28.881,-4.906,7.998;29.721,-4.74,7.053)| +COc1ccc(S(=O)(=O)N(CCO)c2ccccc2C[N@@H+](C)CCCc2ccc(Cl)cc2)cc1 |(16.032,7.404,158.828;15.012,7.213,159.769;13.724,7.581,159.352;12.621,7.188,160.085;11.338,7.555,159.687;11.159,8.328,158.547;9.475,8.78,158.038;9.34,10.338,157.511;8.489,8.531,159.34;9.024,7.74,156.765;8.989,8.24,155.401;8.155,7.338,154.499;7.085,7.716,154.157;8.75,6.362,157.111;9.798,5.457,157.014;9.608,4.129,157.351;8.373,3.712,157.796;7.326,4.609,157.911;7.504,5.939,157.569;6.33,6.91,157.702;5.731,7.199,156.406;4.998,6.052,155.9;4.791,8.298,156.535;5.54,9.592,156.834;4.819,10.283,157.986;5.608,11.51,158.433;6.677,11.959,157.686;7.382,13.077,158.105;7.02,13.748,159.264;7.953,15.187,159.766;5.943,13.3,160.016;5.243,12.182,159.591;12.268,8.713,157.817;13.544,8.353,158.218)| +[NH3+]C[C@H]1O[C@H](O[C@@H]2[C@@H]([NH3+])C[C@@H]([NH3+])[C@H](O[C@H]3O[C@H](CO)[C@@H](O)[C@H]([NH3+])[C@H]3O)[C@H]2O)[C@H](O)[C@@H](O)[C@@H]1O |(110.976,-20.851,-10.175;109.796,-21.47,-9.589;109.344,-20.638,-8.393;109.118,-19.328,-8.852;108.673,-18.47,-7.836;109.551,-18.465,-6.71;110.824,-17.846,-6.899;111.511,-18.016,-5.537;111.747,-19.445,-5.322;112.843,-17.277,-5.468;112.599,-15.81,-5.775;113.84,-15.067,-5.61;112.104,-15.666,-7.208;111.904,-14.297,-7.488;112.811,-13.724,-8.416;112.342,-13.809,-9.758;111.121,-13.118,-9.935;110.803,-13.143,-11.422;110.786,-14.481,-11.802;111.212,-11.653,-9.569;109.913,-11.098,-9.71;111.661,-11.5,-8.133;111.841,-10.081,-7.877;112.975,-12.264,-8.008;113.334,-12.219,-6.651;110.754,-16.363,-7.288;110.363,-16.27,-8.643;107.311,-18.974,-7.368;106.817,-18.101,-6.368;107.48,-20.357,-6.764;106.194,-20.824,-6.376;108.082,-21.281,-7.815;108.425,-22.537,-7.248)| +Nc1ncnc2c1c(I)cn2[C@@H]1O[C@H](CO)[C@@H](O)[C@H]1O |(-12.321,-7.939,-14.161;-12.752,-8.317,-12.807;-12.942,-9.617,-12.481;-13.353,-9.972,-11.229;-13.569,-9.072,-10.282;-13.402,-7.686,-10.511;-12.99,-7.273,-11.782;-12.913,-5.818,-11.728;-12.341,-4.521,-13.286;-13.277,-5.473,-10.411;-13.568,-6.596,-9.725;-13.966,-6.649,-8.39;-15.105,-5.525,-8.117;-14.823,-4.888,-6.991;-14.527,-3.412,-7.287;-13.424,-3.334,-8.151;-13.563,-5.589,-6.398;-13.927,-6.47,-5.434;-12.939,-6.332,-7.604;-12.267,-7.51,-7.147)| +COCC(O)COC |(3.892,-1.182,2.797;3.047,-0.094,3.013;1.824,-0.335,3.7;0.596,0.077,2.882;0.635,1.416,2.314;-0.544,0.04,3.895;-1.817,-0.174,3.26;-2.759,0.803,3.357)| +N#Cc1cn([C@@H]2O[C@H](CO)[C@@H](O)[C@H]2O)c2nc[nH]c(=O)c12 |(-19.772,95.673,50.963;-20.893,95.983,50.961;-22.238,96.349,50.977;-23.054,96.506,52.088;-24.315,96.824,51.703;-25.465,97.038,52.66;-24.982,97.599,53.861;-25.25,96.721,54.946;-24.055,96.782,55.98;-22.905,96.258,55.411;-25.391,95.367,54.219;-26.151,94.415,55.025;-26.121,95.756,53.041;-27.466,95.939,53.284;-24.422,96.905,50.388;-25.501,97.222,49.632;-25.328,97.329,48.299;-24.094,97.026,47.703;-23.004,96.666,48.449;-21.947,96.37,47.821;-23.127,96.624,49.854)| +CCC(CC)CN(C[C@@H](O)[C@H](CC1CCCCC1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)C1CCC([C@@H](C)O)CC1 |(74.653,54.903,15.744;73.109,54.659,15.555;72.719,54.932,14.044;73.446,53.941,13.087;73.165,52.477,13.465;71.155,54.81,13.859;70.448,55.808,14.687;70.112,57.12,14.046;71.024,58.191,14.629;70.905,59.385,13.878;70.662,58.472,16.085;69.305,59.16,16.208;69.091,59.586,17.726;69.166,61.065,18.13;68.956,61.473,19.605;68.67,60.399,20.665;68.594,58.919,20.259;68.804,58.512,18.787;71.669,59.424,16.602;72.709,59.033,17.599;72.73,57.948,18.105;73.658,60.031,17.915;74.467,59.889,19.17;75.884,60.467,18.84;75.69,61.83,18.829;74.669,62.066,19.9;73.555,62.948,19.435;72.431,62.148,19.321;72.701,60.885,20.201;74.031,60.663,20.175;69.241,55.159,15.788;69.86,54.41,16.921;68.459,56.215,16.448;68.18,54.043,14.729;68.386,52.534,14.8;67.529,51.615,13.92;66.48,52.232,12.974;65.623,51.338,12.093;64.134,51.667,12.356;65.944,51.597,10.777;66.284,53.765,12.899;67.129,54.673,13.765)| +Nc1ncnc2c1ncn2[C@H]1C[C@H](O)[C@@H](CO[P@@](=O)(O)O[P@](=O)(O)OP(=O)(O)O)O1 |(-13.004,23.653,-8.061;-13.994,22.74,-7.632;-14.629,21.969,-8.569;-15.607,21.067,-8.151;-16.026,20.85,-6.878;-15.399,21.617,-5.913;-14.374,22.579,-6.238;-13.94,23.191,-5.037;-14.666,22.627,-4.039;-15.573,21.659,-4.505;-16.519,20.869,-3.57;-15.832,19.956,-2.482;-15.878,20.81,-1.185;-16.016,20.025,-0.014;-17.151,21.59,-1.414;-17.059,22.973,-0.597;-16.114,23.783,-1.136;-14.758,24.464,-0.013;-14.305,25.56,-0.935;-15.574,24.922,1.18;-13.81,23.256,0.217;-13.781,22.134,1.696;-13.485,20.858,0.961;-15.201,22.215,2.217;-12.687,22.54,2.739;-12.407,24.203,3.459;-13.769,24.85,3.38;-11.377,24.856,2.555;-11.925,24.072,4.893;-17.298,21.77,-2.831)| +Cc1noc(C)c1-c1cc(-c2c(C)noc2C)c2cccnc2c1 |(77.473,9.084,-6.753;78.444,8.787,-7.828;79.473,7.953,-7.607;80.174,7.884,-8.8;79.565,8.676,-9.722;80.184,8.727,-11.054;78.462,9.27,-9.153;77.574,10.165,-9.858;78.081,11.318,-10.443;77.219,12.18,-11.135;77.779,13.382,-11.725;77.641,14.744,-11.34;76.874,15.302,-10.198;78.331,15.552,-12.156;78.926,14.719,-13.095;78.596,13.423,-12.834;79.153,12.406,-13.748;75.835,11.878,-11.231;74.902,12.698,-11.915;73.561,12.349,-11.983;73.178,11.181,-11.362;74.027,10.364,-10.694;75.328,10.704,-10.635;76.204,9.858,-9.955)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4cccc(F)c4)nn3)[C@H]2O)cc1 |(-25.282,9,-5.642;-24.183,9.32,-4.698;-23.471,8.327,-4.046;-22.445,8.61,-3.15;-22.073,9.919,-2.858;-20.738,10.254,-1.743;-19.724,8.774,-1.747;-20.282,7.868,-0.8;-19.658,6.563,-0.925;-20.393,5.614,0.029;-21.739,5.476,-0.34;-18.172,6.705,-0.591;-18.002,7.096,0.712;-17.572,7.727,-1.563;-16.154,7.863,-1.391;-15.444,8.255,-0.268;-14.111,8.193,-0.619;-12.936,8.481,0.166;-11.688,8.672,-0.44;-10.538,8.902,0.299;-10.58,8.952,1.68;-11.808,8.752,2.236;-11.874,8.759,3.619;-12.964,8.508,1.563;-14.1,7.782,-1.952;-15.28,7.571,-2.39;-18.259,9.09,-1.459;-17.78,9.885,-2.516;-22.77,10.919,-3.505;-23.797,10.627,-4.394)| +CC[C@@H](C)c1ccc(O)cc1 |(-16.982,-0.831,-26.263;-16.571,-2.274,-26.041;-17.094,-3.169,-27.169;-16.475,-2.72,-28.497;-16.666,-4.447,-26.847;-15.493,-4.936,-27.404;-15.042,-6.2,-27.069;-15.758,-6.974,-26.17;-15.299,-8.213,-25.851;-16.934,-6.488,-25.601;-17.389,-5.219,-25.938)| +[H]/N=C(/N)NCCC[C@@H]1NC(=O)[C@@H]2ON2C(=O)[C@H](CC(N)=O)NC(=O)[C@@H]2CCCN2C(=O)[C@H](Cc2ccccc2)NC(=O)[C@@H]2CSSC[C@H](NC1=O)C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCN/C(N)=N\[H])C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H]([C@@H](C)CC)C(=O)N2 |(-5.5087,94.494,1.0881;-5.789,94.18,0.159;-7.074,94.003,-0.122;-7.459,93.592,-1.332;-7.977,94.238,0.813;-7.662,94.672,2.161;-8.552,93.927,3.149;-8.673,94.714,4.414;-9.249,93.967,5.616;-10.677,93.72,5.431;-11.407,93.099,6.361;-10.93,92.634,7.413;-12.896,92.97,6.066;-13.663,93.546,4.765;-13.346,93.682,4.883;-13.654,93.537,3.53;-13.111,92.595,2.944;-14.307,94.677,2.737;-13.369,95.137,1.599;-12.042,95.732,2.103;-11.461,96.625,1.306;-11.548,95.388,3.178;-14.682,95.806,3.597;-15.581,95.682,4.577;-16.152,94.611,4.817;-15.897,96.896,5.441;-17.024,97.747,4.831;-16.634,99.167,5.097;-15.137,99.178,5.035;-14.777,97.845,5.553;-13.66,97.474,6.196;-13.58,96.39,6.789;-12.491,98.445,6.205;-11.775,98.447,4.847;-10.665,99.457,4.758;-9.379,99.132,5.165;-8.355,100.066,5.096;-8.613,101.34,4.623;-9.892,101.678,4.217;-10.912,100.739,4.287;-11.572,98.079,7.271;-11.002,98.966,8.076;-11.284,100.17,8.068;-9.969,98.401,9.042;-10.674,97.829,10.272;-9.537,96.987,11.394;-9.534,95.046,10.746;-7.854,94.698,10.162;-7.525,95.196,8.751;-8.089,94.347,7.71;-9.001,94.802,6.861;-9.61,95.859,7.04;-6.024,95.234,8.542;-5.355,94.198,8.628;-5.504,96.416,8.251;-4.067,96.616,8.193;-3.751,97.88,7.402;-3.959,97.623,5.922;-5.234,97.686,5.357;-5.437,97.413,4.022;-4.358,97.055,3.219;-4.556,96.782,1.883;-3.084,96.969,3.753;-2.891,97.249,5.106;-3.533,96.68,9.616;-4.182,97.238,10.505;-2.354,96.088,9.839;-1.985,95.637,11.177;-1.246,94.302,11.074;-2.222,93.128,10.972;-1.538,91.814,10.612;-2.581,90.743,10.253;-1.964,89.398,10.156;-1.179,96.66,11.989;-0.389,96.26,12.862;-1.364,97.96,11.757;-0.81,98.96,12.676;-0.885,100.363,12.066;-2.215,100.726,11.704;-1.553,98.928,14.019;-2.529,98.19,14.206;-1.102,99.752,14.962;-1.814,99.962,16.228;-1.022,99.433,17.426;-1.769,99.602,18.768;-0.881,100.119,19.886;-1.529,100.011,21.196;-0.928,100.252,22.362;0.348,100.62,22.395;-1.601,100.125,23.498;-2.5809,99.8423,23.4814;-2.109,101.447,16.42;-1.166,102.247,16.571;-3.38,101.878,16.423;-3.722,103.243,16.871;-5.153,103.389,16.476;-5.742,102.011,16.431;-4.568,101.061,16.123;-4.596,100.584,14.653;-3.906,101.176,13.821;-5.349,99.526,14.351;-6.108,98.679,15.296;-6.811,97.68,14.397;-6.003,97.614,13.126;-5.394,99.016,12.971;-6.256,99.881,12.06;-7.139,100.614,12.506;-5.987,99.774,10.757;-6.793,100.419,9.72;-5.922,101.089,8.646;-6.769,101.995,7.75;-4.774,101.873,9.282;-3.929,102.61,8.267;-7.699,99.354,9.107;-7.234,98.493,8.347;-8.998,99.422,9.421)| +CC(C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@H](C)O)cc1 |(73.471,53.936,13.08;72.703,54.942,13.976;73.223,54.846,15.415;71.168,54.598,13.948;70.413,55.57,14.729;70.09,56.889,14.063;70.964,58.003,14.673;70.833,59.147,13.933;70.554,58.301,16.136;69.156,58.905,16.216;68.887,59.369,17.712;68.517,58.332,18.782;68.26,58.781,20.231;68.373,60.26,20.605;68.744,61.303,19.53;69,60.855,18.087;71.466,59.286,16.646;72.476,58.965,17.693;72.519,57.871,18.215;73.375,60.013,18.057;74.191,59.826,19.218;75.684,60.429,18.864;75.535,61.751,18.916;74.385,61.994,19.953;73.454,62.682,19.442;72.044,61.908,19.676;72.296,60.784,20.319;73.785,60.567,20.243;69.178,54.915,15.791;68.436,55.971,16.489;69.765,54.113,16.875;68.037,53.927,14.715;66.938,54.661,13.945;65.989,53.868,13.039;66.152,52.35,12.907;65.223,51.602,12.007;64.885,50.233,12.618;65.873,51.425,10.765;67.257,51.619,13.664;68.213,52.416,14.581)| +COc1cc(C=O)ccc1O |(-22.032,14.148,-17.237;-22.172,13.232,-16.169;-22.393,13.784,-14.89;-22.55,15.151,-14.699;-22.769,15.639,-13.412;-22.943,17.126,-13.179;-22.68,17.905,-14.076;-22.829,14.774,-12.326;-22.669,13.411,-12.516;-22.456,12.923,-13.797;-22.293,11.543,-13.996)| +CC(/C=C/C1[C@@H](C)CCCC1(C)C)=C\C=C\C(C)=C\CO |(-9.614,-0.463,-8.918;-8.476,0.499,-8.911;-7.445,0.443,-9.952;-7.58,0.807,-11.206;-6.435,0.714,-12.127;-6.522,0.037,-13.239;-7.346,0.493,-14.398;-5.6,-1.147,-13.24;-4.206,-0.551,-13.368;-3.893,0.454,-12.245;-5.081,1.349,-11.894;-4.99,2.574,-12.772;-4.947,1.725,-10.436;-8.326,1.406,-7.952;-9.201,1.539,-6.813;-8.726,0.926,-5.734;-9.308,0.838,-4.394;-10.37,1.781,-3.968;-8.853,-0.087,-3.546;-9.417,-0.204,-2.153;-8.663,-1.17,-1.404)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4ccc(F)cc4)nn3)[C@H]2O)cc1 |(-25.225,8.68,-6.281;-24.196,8.977,-5.181;-23.686,10.289,-4.963;-22.733,10.598,-3.955;-22.232,9.599,-3.087;-21,9.921,-1.78;-19.955,8.436,-1.71;-20.487,7.524,-0.774;-19.872,6.235,-0.848;-20.527,5.317,0.17;-21.861,5.127,-0.243;-18.375,6.408,-0.541;-18.162,6.867,0.78;-17.781,7.468,-1.516;-16.36,7.593,-1.268;-15.711,8.152,-0.158;-14.355,8.023,-0.393;-13.257,8.379,0.443;-13.404,8.591,1.807;-12.343,8.896,2.647;-11.031,8.985,2.139;-10.003,9.26,2.916;-10.843,8.752,0.775;-11.93,8.441,-0.031;-14.245,7.341,-1.631;-15.408,7.104,-2.129;-18.501,8.792,-1.421;-17.979,9.621,-2.444;-22.724,8.292,-3.294;-23.675,7.993,-4.308)| +COC(=O)[C@@H](NC(=O)c1nn(Cc2ccc(F)cc2)c2ccccc12)C(C)(C)C |(88.847,134.859,123.986;89.075,133.446,123.826;88.164,132.892,122.98;87.319,133.561,122.384;88.196,131.37,122.675;89.376,131.042,121.85;89.418,131.48,120.588;88.44,132.05,120.095;90.532,131.162,119.893;91.533,130.465,120.418;92.428,130.298,119.445;93.719,129.635,119.481;94.686,130.566,119.862;94.54,131.941,119.852;95.552,132.786,120.241;96.744,132.236,120.668;97.563,132.898,120.989;96.937,130.879,120.705;95.879,130.123,120.289;91.971,130.859,118.333;92.567,130.957,117.149;91.924,131.618,116.121;90.687,132.179,116.375;90.154,132.057,117.638;90.799,131.413,118.604;88.165,130.418,123.895;86.883,130.675,124.671;88.133,129.001,123.332;89.379,130.473,124.835)| +C[C@H]1c2cccc(C(N)=O)c2C(=O)N1C1CC[NH+](C2CCCCC2)CC1 |(7.555,20.574,22.737;7.982,22.045,22.57;9.335,22.27,22.979;9.881,22.028,24.193;11.214,22.343,24.484;11.997,22.916,23.47;11.449,23.176,22.167;12.422,23.738,21.23;12.002,24.141,19.997;13.655,23.772,21.532;10.095,22.841,21.976;9.251,22.942,20.952;9.57,23.438,19.876;7.986,22.518,21.202;6.97,22.7,20.099;5.634,23.284,20.576;4.713,23.539,19.405;4.566,22.292,18.628;3.468,22.233,17.642;3.408,23.468,16.757;2.336,23.239,15.677;0.932,23.263,16.352;0.893,22.048,17.31;2.116,22.003,18.311;5.806,21.696,18.101;6.808,21.45,19.225)| +CC(C)CN(C[C@@H](O)[C@H](CC1CCCCC1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@@H](C)O)cc1 |(73.462,55.183,15.277;72.907,55.259,13.824;73.635,54.234,12.948;71.399,54.936,13.805;70.638,55.913,14.635;70.274,57.224,14.007;71.161,58.321,14.612;71.061,59.481,13.866;70.762,58.585,16.07;69.38,59.216,16.181;69.139,59.625,17.658;69.156,61.131,18.041;68.919,61.552,19.499;68.664,60.475,20.578;68.647,58.971,20.191;68.884,58.549,18.729;71.694,59.552,16.614;72.719,59.189,17.619;72.775,58.113,18.113;73.625,60.239,17.954;74.39,60.134,19.158;75.873,60.783,18.819;75.644,62.104,18.779;74.536,62.342,19.857;73.615,63.072,19.408;72.226,62.207,19.374;72.424,61.125,20.105;73.914,60.903,20.132;69.451,55.242,15.702;68.68,56.288,16.366;70.06,54.454,16.77;68.36,54.163,14.666;67.331,54.797,13.722;66.454,53.876,12.875;66.63,52.341,12.989;65.74,51.411,12.115;64.271,51.738,12.393;66.072,51.673,10.796;67.667,51.723,13.922;68.544,52.641,14.772)| +Nc1ncnc2c1ncn2[C@@H]1O[C@H](CO[P@@](=O)(O)OP(=O)(O)O)[C@@H](O)[C@H]1O |(90.64,42.28,103.396;91.368,41.249,102.944;91.037,40.565,101.831;91.787,39.547,101.358;92.912,39.119,101.972;93.329,39.731,103.113;92.568,40.846,103.679;93.205,41.261,104.802;94.301,40.472,104.94;94.363,39.571,103.924;95.386,38.511,103.752;96.182,38.483,104.94;97.559,38.705,104.598;98.255,39.409,105.757;97.913,40.789,105.745;98.907,41.818,106.476;98.298,43.193,106.49;99.28,41.193,107.8;100.215,41.76,105.524;100.341,42.337,104.014;100.376,41.069,103.203;101.645,43.128,104.051;99.12,43.191,103.715;97.506,39.461,103.271;98.696,39.374,102.468;96.319,38.802,102.59;96.707,37.56,101.962)| +CC(=O)N1c2ccc(C3=CC[NH2+]CC3)cc2N(Cc2ccccc2CO)C[C@@H]1C1C=C1 |(39.324,15.515,6.022;40.662,15.5,6.689;41.419,14.549,6.586;41.012,16.594,7.438;40.218,17.764,7.602;39.339,18.218,6.626;38.604,19.369,6.845;38.735,20.09,8.028;37.945,21.326,8.25;36.706,21.496,7.754;35.853,22.721,7.947;36.659,23.85,8.423;37.563,23.429,9.483;38.595,22.4,9.067;39.624,19.639,9;40.364,18.482,8.785;41.26,18.043,9.79;41.406,18.756,11.057;40.554,18.164,12.152;39.561,17.249,11.814;38.759,16.679,12.784;38.937,17.015,14.107;39.917,17.921,14.463;40.737,18.505,13.5;41.801,19.493,13.913;43.09,18.904,13.951;42.162,16.92,9.574;42.342,16.593,8.099;43.266,17.538,7.34;44.742,17.319,7.459;44.051,17,6.181)| +O=P(O)(O)O[C@H]1[C@H](OP(=O)(O)O)[C@@H](OP(=O)(O)O)[C@H](OP(=O)(O)O)[C@@H](OP(=O)(O)O)[C@H]1OP(=O)(O)O |(10.632,-20.761,-81.601;9.687,-21.532,-80.71;10.104,-21.305,-79.274;9.823,-23.011,-81.001;8.131,-20.997,-80.971;7.651,-19.998,-80.097;6.622,-19.01,-80.646;7.194,-18.348,-81.727;6.54,-18.792,-83.166;6.73,-17.684,-84.171;5.061,-19.051,-82.987;7.214,-20.061,-83.637;6.344,-18.029,-79.498;5.607,-16.938,-79.963;6.468,-15.54,-79.916;5.876,-14.529,-80.869;7.892,-15.842,-80.323;6.449,-15.021,-78.496;5.628,-18.711,-78.321;5.4,-17.776,-77.293;3.855,-17.374,-76.859;3.665,-15.886,-77.042;2.86,-18.105,-77.731;3.609,-17.741,-75.411;6.451,-19.891,-77.754;5.535,-20.684,-77.017;5.863,-21.345,-75.533;7.072,-22.243,-75.631;6.12,-20.264,-74.509;4.688,-22.175,-75.061;7.151,-20.749,-78.83;6.215,-21.763,-79.178;6.506,-23.399,-79.111;7.303,-23.813,-80.324;7.272,-23.774,-77.865;5.201,-24.166,-79.132)| +COC1C=C(/C=N/n2c(SC)nnc2-c2ccccc2)C(Br)=CC1=O |(-0.555,10.511,20.218;-0.003,9.237,20.554;0.096,8.805,21.86;-0.242,9.652,22.909;-0.158,9.208,24.223;-0.525,10.181,25.279;-0.506,11.42,25.033;-0.598,12.377,25.976;-0.428,12.155,27.296;-0.058,10.611,28.04;-0.493,10.685,29.768;-0.572,13.275,28.032;-0.86,14.268,27.057;-0.884,13.716,25.784;-1.215,14.535,24.547;-1.528,13.96,23.291;-1.858,14.748,22.157;-1.899,16.13,22.3;-1.618,16.716,23.536;-1.299,15.932,24.658;0.243,7.873,24.424;0.369,7.167,26.089;0.562,6.986,23.436;0.497,7.493,22.153;0.837,6.674,21.238)| +CC[C@H](C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@@H](C)O)cc1 |(73.64,52.07,14.065;73.536,53.455,13.391;72.84,54.471,14.311;73.418,54.474,15.73;71.345,54.122,14.304;70.556,55.17,15.014;70.189,56.446,14.335;71.104,57.561,14.901;70.958,58.735,14.171;70.716,57.86,16.342;69.368,58.583,16.374;69.145,59.029,17.836;68.79,57.975,18.869;68.574,58.378,20.328;68.713,59.837,20.733;69.082,60.894,19.688;69.282,60.493,18.232;71.693,58.788,16.896;72.674,58.4,17.92;72.684,57.326,18.466;73.61,59.445,18.172;74.511,59.343,19.356;75.653,59.778,18.981;75.425,61.397,18.908;74.646,61.677,19.913;73.416,62.563,19.505;72.354,61.779,19.46;72.665,60.53,20.447;74.022,60.361,20.419;69.348,54.544,16.069;68.528,55.619,16.593;69.921,53.788,17.166;68.364,53.427,15.072;68.617,51.933,15.206;67.821,50.974,14.352;66.768,51.569,13.431;65.955,50.656,12.546;64.475,50.994,12.686;66.374,50.95,11.254;66.525,53.072,13.302;67.327,54.044,14.146)| +CSCC[C@H](NC(=O)[C@H](CCC(N)=O)NC(=O)[C@H](CC(=O)O)NC(=O)[C@@H]([NH3+])CCC(=O)O)C(=O)N[C@H](C(=O)N1CCC[C@H]1C(=O)N[C@@H](CO)C(=O)O)C(C)C |(-3.867,-2.711,29.904;-4.778,-1.21,30.192;-5.814,-1.182,28.726;-5.019,-1.377,27.449;-5.881,-1.466,26.193;-5.087,-1.896,25.053;-5.513,-2.818,24.193;-6.58,-3.413,24.332;-4.616,-3.067,22.984;-5.045,-4.302,22.181;-4.358,-4.405,20.808;-4.651,-3.202,19.93;-5.891,-3.12,19.436;-3.772,-2.341,19.697;-3.207,-3.11,23.36;-2.74,-3.893,24.331;-3.456,-4.64,24.991;-1.231,-3.812,24.546;-0.534,-4.716,23.532;0.965,-4.533,23.523;1.667,-5.495,23.181;1.441,-3.432,23.861;-0.847,-4.184,25.897;-0.759,-3.293,26.875;-1.257,-2.179,26.804;0.001,-3.75,28.126;0.891,-2.708,28.646;-0.966,-4.194,29.218;-1.993,-5.205,28.751;-2.873,-5.715,29.882;-2.544,-5.457,31.059;-3.899,-6.369,29.588;-6.473,-0.096,25.889;-5.755,0.823,25.486;-7.772,0.029,26.077;-8.461,1.288,25.773;-8.069,2.349,26.796;-8.179,2.11,28.011;-7.641,3.535,26.373;-7.378,3.948,24.987;-7.079,5.428,25.12;-6.78,5.735,26.505;-7.253,4.555,27.356;-8.416,4.919,28.26;-9.579,4.916,27.848;-8.078,5.221,29.512;-9.052,5.342,30.597;-8.687,4.364,31.72;-9.703,4.298,32.705;-9.115,6.757,31.16;-8.141,7.244,31.735;-10.141,7.429,31.046;-9.965,1.065,25.765;-10.7,2.354,25.446;-10.325,0.006,24.769)| +[NH3+]C[C@H]1O[C@H](O[C@@H]2[C@@H]([NH3+])C[C@@H]([NH3+])[C@H](O[C@H]3O[C@H](CO)[C@@H](O)[C@H]([NH3+])[C@H]3O)[C@H]2O)[C@H]([NH3+])C[C@@H]1O |(111.505,-20.606,-10.173;110.262,-21.143,-9.645;109.867,-20.408,-8.402;109.635,-19.003,-8.753;109.193,-18.227,-7.601;110.127,-18.192,-6.568;111.389,-17.546,-6.741;112.07,-17.643,-5.358;112.272,-19.056,-5.07;113.409,-16.888,-5.247;113.21,-15.416,-5.627;114.478,-14.697,-5.502;112.665,-15.346,-7.053;112.475,-13.993,-7.391;113.346,-13.435,-8.309;112.855,-13.528,-9.682;111.522,-12.954,-9.834;110.987,-13.242,-11.207;111.713,-12.551,-12.181;111.595,-11.456,-9.511;110.295,-10.88,-9.614;112.147,-11.258,-8.124;112.314,-9.792,-7.768;113.456,-11.958,-7.967;113.91,-11.874,-6.626;111.32,-16.082,-7.192;110.937,-16.017,-8.543;107.895,-18.855,-7.047;107.467,-18.079,-5.847;108.072,-20.263,-6.68;108.618,-21.046,-7.807;109.024,-22.346,-7.356)| +CC[C@H](C)[C@H]([NH3+])C(=O)N[C@@H](CCSC)C(=O)N[C@H](C(=O)N[C@@H](CO)C(=O)N[C@@H](Cc1ccccc1)C(=O)O)[C@@H](C)CC |(34.794,-14.536,7.73;34.227,-13.683,8.873;33.537,-14.476,9.976;32.486,-15.44,9.435;32.899,-13.51,10.992;33.909,-12.719,11.701;32.065,-14.271,11.997;32.612,-15.009,12.818;30.747,-14.071,11.939;29.788,-14.784,12.776;29.108,-13.839,13.778;30.034,-13.348,14.881;29.562,-13.98,16.522;29.924,-15.722,16.324;28.763,-15.454,11.871;28.289,-14.846,10.904;28.451,-16.713,12.176;27.583,-17.565,11.372;26.597,-18.256,12.307;26.971,-18.677,13.407;25.346,-18.389,11.867;24.298,-19.079,12.611;23.141,-18.127,12.936;22.137,-18.769,13.704;23.786,-20.279,11.82;24.044,-20.419,10.623;23.033,-21.136,12.508;22.502,-22.38,11.939;21.51,-22.094,10.808;20.135,-21.722,11.282;19.65,-22.194,12.493;18.375,-21.855,12.927;17.574,-21.037,12.147;18.048,-20.563,10.936;19.319,-20.911,10.509;23.622,-23.283,11.43;24.468,-23.735,12.202;23.702,-23.578,10.237;28.403,-18.612,10.583;27.497,-19.523,9.776;29.432,-17.937,9.671;30.437,-18.907,9.089)| +[N-]=[N+]=N[C@@H]1[C@H](O)[C@@H](CO)O[C@H]1n1ccc(=O)[nH]c1=O |(106.412,-53.586,44.917;107.417,-53.114,44.669;108.441,-52.667,44.479;108.746,-51.69,43.427;110.158,-51.086,43.34;110.928,-51.383,44.51;109.798,-49.592,43.318;110.87,-48.83,42.516;111.096,-47.543,43.116;108.454,-49.457,42.77;107.751,-50.737,42.714;107.481,-51.086,41.301;108.189,-50.503,40.27;107.925,-50.818,38.974;106.892,-51.757,38.706;106.646,-52.051,37.544;106.202,-52.311,39.736;106.508,-51.968,41.013;105.905,-52.454,41.947)| +CCc1ccccc1C1=CC(=O)C(O)C(C(=O)O)=N1 |(-23.283,15.688,134.835;-24.003,17.027,135.12;-23.322,17.759,136.084;-24.073,18.243,137.164;-23.477,19.006,138.172;-22.112,19.311,138.109;-21.348,18.849,137.035;-21.946,18.09,136.019;-21.134,17.68,134.971;-21.417,18.042,133.653;-20.615,17.627,132.598;-20.924,17.95,131.442;-19.495,16.849,132.907;-18.683,16.429,131.883;-19.197,16.497,134.237;-18.097,15.737,134.62;-17.22,15.469,133.775;-17.966,15.349,135.817;-20.026,16.929,135.261)| +Cc1nc(NCc2cccc3c2OCO3)sc1-c1ccn(C)n1 |(35.768,-1.342,34.88;34.585,-0.75,35.572;33.796,-1.668,36.185;32.786,-1.097,36.756;31.615,-1.724,36.896;30.607,-1.515,37.915;29.363,-1.373,37.097;29.005,-2.288,36.105;28.093,-1.94,35.117;27.601,-0.645,35.046;28.082,0.282,35.955;29.043,-0.038,36.882;29.314,1.045,37.695;28.567,2.13,37.136;27.776,1.624,36.054;32.959,0.624,36.969;34.412,0.545,36.008;35.527,1.312,35.824;36.669,0.92,35.029;37.383,2.053,34.846;36.703,3.038,35.469;37.083,4.437,35.581;35.489,2.647,35.92)| +CCCCCCCCCCCCCCCC(=O)O |(-13.552,-12.666,-20.326;-12.584,-11.532,-20.461;-12.238,-10.962,-19.143;-11.547,-9.648,-19.242;-10.088,-9.73,-19.016;-9.516,-8.477,-18.468;-8.021,-8.501,-18.415;-7.393,-7.169,-18.593;-6.291,-6.885,-17.637;-4.99,-6.574,-18.299;-4.198,-5.502,-17.611;-4.014,-4.262,-18.44;-4.31,-2.985,-17.693;-3.576,-1.768,-18.214;-2.099,-1.979,-18.288;-1.296,-1.35,-17.162;-1.8,-0.406,-16.529;-0.166,-1.81,-16.917)| +Cc1nnc2n1-c1ccc(-c3cnn(C)c3)cc1[C@H](Nc1ccc(Cl)cc1)CC2 |(5.952,67.391,-2.788;6.138,67.732,-4.257;5.864,66.965,-5.291;6.168,67.634,-6.441;6.632,68.831,-6.07;6.62,68.9,-4.747;7.07,70.094,-4.035;6.167,70.629,-2.935;6.63,71.87,-2.199;7.963,72.503,-2.616;8.416,73.727,-1.874;9.414,74.571,-2.252;9.504,75.51,-1.32;8.559,75.241,-0.341;8.338,76.03,0.858;7.901,74.142,-0.686;8.849,71.938,-3.721;8.345,70.691,-4.44;9.217,70.084,-5.551;10.463,70.795,-5.633;11.519,70.481,-4.738;12.892,70.996,-5.11;14.044,70.685,-4.193;13.76,69.879,-2.945;15.09,69.513,-1.875;12.389,69.381,-2.566;11.24,69.685,-3.485;8.602,70.165,-6.934;7.103,70.017,-6.927)| +CCCCn1c(Cc2cc(OC)c(OC)c(OC)c2)nc2c(N)ncnc21 |(4.929,6.645,219.263;4.715,7.984,219.976;3.333,8.226,220.557;3.153,9.575,221.282;1.988,10.262,220.664;1.942,10.964,219.541;3.14,11.189,218.607;4.282,11.808,219.231;4.156,12.928,220.073;5.3,13.507,220.64;5.26,14.585,221.479;4.047,15.326,221.441;6.552,12.972,220.362;7.714,13.481,220.915;7.978,14.844,220.579;6.68,11.868,219.543;7.962,11.427,219.342;8.076,10.355,218.386;5.551,11.285,218.971;0.703,11.415,219.331;-0.052,10.99,220.37;-1.367,11.115,220.712;-2.224,11.787,219.929;-1.809,10.584,221.851;-0.973,9.877,222.694;0.352,9.717,222.334;0.764,10.28,221.187)| +C[NH2+][C@@H]1[C@@H](O)[C@@H](O[C@@H]2[C@@H](O)[C@H](O[C@H]3O[C@H](C[NH3+])CC[C@H]3[NH3+])[C@@H]([NH3+])C[C@H]2[NH3+])OC[C@]1(C)O |(110.505,-9.233,-6.469;111.348,-9.624,-7.615;111.196,-11.07,-7.88;112.579,-11.74,-7.911;113.117,-11.681,-6.599;112.453,-13.211,-8.309;111.649,-13.826,-7.3;111.919,-15.196,-7.034;110.595,-15.956,-7.11;110.144,-15.929,-8.455;110.728,-17.416,-6.666;109.469,-18.078,-6.476;108.567,-18.118,-7.598;109.071,-18.923,-8.667;108.785,-20.303,-8.514;109.501,-21.115,-9.591;110.706,-20.435,-10.079;107.281,-20.546,-8.706;106.493,-19.287,-8.293;107.231,-18.695,-7.113;107.441,-19.795,-6.192;111.411,-17.472,-5.298;111.603,-18.879,-4.937;112.758,-16.762,-5.295;112.509,-15.293,-5.624;113.752,-14.523,-5.548;111.856,-13.313,-9.611;110.541,-12.778,-9.614;110.517,-11.291,-9.241;109.056,-10.835,-9.183;111.229,-10.519,-10.2)| +CCC(=O)N1CCN(c2nnc(-c3ccccc3)c3cc(-c4c(O)cccc4F)c(Cl)cc23)CC1 |(5.728,-3.774,40.001;6.907,-4.623,40.426;8.237,-3.878,40.354;8.645,-3.452,39.319;9.008,-3.694,41.563;10.245,-3.027,41.523;10.257,-1.942,42.57;10.141,-2.577,43.922;10.661,-1.73,44.952;9.838,-0.974,45.661;10.314,-0.121,46.618;11.616,-0.024,46.842;12.024,0.862,47.815;11.854,0.554,49.16;12.266,1.465,50.127;12.833,2.677,49.746;12.999,2.98,48.401;12.587,2.075,47.432;12.56,-0.802,46.097;13.972,-0.725,46.31;14.857,-1.506,45.565;16.224,-1.389,45.801;16.801,-1.896,46.963;16.005,-2.557,47.906;18.168,-1.752,47.186;18.964,-1.094,46.257;18.395,-0.584,45.097;17.03,-0.727,44.874;16.481,-0.224,43.733;14.349,-2.37,44.588;15.459,-3.374,43.622;12.974,-2.452,44.373;12.073,-1.65,45.144;8.765,-3.141,43.969;8.613,-4.165,42.848)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4c(F)c(F)c(O)c(F)c4F)nn3)[C@H]2O)cc1 |(-25.208,9.657,-5.607;-23.945,9.912,-4.784;-23.216,8.873,-4.184;-22.061,9.157,-3.412;-21.584,10.48,-3.296;-20.09,10.81,-2.374;-19.045,9.218,-2.408;-19.453,8.367,-1.391;-18.874,7.115,-1.506;-19.48,6.267,-0.469;-20.825,6.025,-0.66;-17.322,7.23,-1.36;-17.004,7.724,-0.082;-16.822,8.211,-2.437;-15.391,8.291,-2.381;-14.529,8.795,-1.443;-13.216,8.64,-1.877;-11.93,8.977,-1.231;-11.7,8.929,0.089;-12.761,8.604,0.768;-10.521,9.221,0.758;-10.457,9.131,2.08;-9.366,9.52,0.009;-8.146,9.781,0.577;-9.549,9.562,-1.378;-8.516,9.872,-2.164;-10.8,9.236,-1.932;-10.974,9.281,-3.246;-13.363,8.039,-3.176;-14.636,7.892,-3.466;-17.542,9.51,-2.341;-17.174,10.347,-3.437;-22.288,11.507,-3.872;-23.435,11.219,-4.604)| +Oc1ccc(C(c2ccc(O)cc2)C(Cl)(Cl)Cl)cc1 |(2.779,-17.814,1.276;2.868,-17.334,2.548;3.098,-18.22,3.594;3.195,-17.772,4.905;3.055,-16.419,5.152;3.135,-15.849,6.421;4.43,-15.902,6.975;4.948,-16.914,7.792;6.256,-16.811,8.291;7.014,-15.681,7.964;8.297,-15.491,8.388;6.478,-14.7,7.159;5.201,-14.802,6.675;2.052,-16.248,7.429;1.995,-17.962,7.977;2.17,-15.175,8.742;0.547,-15.951,6.621;2.822,-15.529,4.107;2.727,-15.977,2.795)| +CC1=C(c2ccncc2)NN(C2CC[NH2+]CC2)C(=O)C1 |(-2.994,7.354,-17.566;-3.556,7.148,-18.947;-3.486,8.168,-19.999;-2.823,9.48,-19.82;-3.539,10.655,-20.02;-2.872,11.863,-19.937;-1.57,11.972,-19.65;-0.88,10.833,-19.516;-1.456,9.577,-19.582;-4.028,7.988,-21.17;-4.688,6.812,-21.449;-5.301,6.761,-22.795;-4.262,7.072,-23.871;-4.907,7.068,-25.244;-6.045,8.031,-25.289;-7.085,7.711,-24.27;-6.485,7.724,-22.877;-4.837,5.79,-20.53;-5.423,4.758,-20.849;-4.242,6.019,-19.246)| +Cc1noc(C)c1-c1cc(S(=O)(=O)NC2CCCC2)c2cccnc2c1 |(113.154,10.739,11.408;113.913,9.523,11.05;114.825,9.544,10.063;115.34,8.257,10.008;114.739,7.475,10.954;115.171,6.068,11.033;113.821,8.239,11.643;112.98,7.76,12.715;112.274,6.571,12.557;111.454,6.107,13.595;110.606,4.558,13.316;110.977,3.703,14.417;110.879,4.099,11.972;108.954,4.905,13.472;108.257,5.787,12.519;106.865,5.214,12.231;105.907,6.409,12.293;106.785,7.648,12.426;107.99,7.13,13.195;111.339,6.842,14.815;110.546,6.49,15.942;110.505,7.293,17.083;111.255,8.451,17.087;112.023,8.836,16.044;112.063,8.058,14.946;112.87,8.49,13.9)| +[H]/N=C(/N)NCCC[C@H](NC(=O)[C@H](Cc1ccccc1)NC(=O)[C@]1(C)CCC/C=C\CCC[C@](C)(NC(=O)[C@H](CCCN/C(N)=N\[H])NC(=O)[C@H](CO)NC(=O)[C@H](Cc2ccc(O)cc2)NC(=O)[C@H](CCCN/C(N)=N\[H])NC(=O)[C@H](CCCC[NH3+])NC(=O)[C@H](CCCC[NH3+])NC(C)=O)C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(C)C)C(=O)N1)C(=O)N[C@@H](C)C(=O)O |(-12.1458,-19.6636,1.0488;-11.571,-18.822,1.09;-11.96,-17.79,1.822;-11.214,-16.681,1.84;-13.103,-17.862,2.5;-13.673,-16.786,3.299;-14.975,-17.22,3.952;-15.652,-16.054,4.637;-17.01,-16.379,5.265;-17.722,-15.135,5.522;-19.011,-15.118,5.825;-19.733,-16.12,5.739;-19.61,-13.787,6.286;-20.71,-13.382,5.294;-21.745,-12.444,5.853;-22.162,-12.509,7.182;-23.108,-11.639,7.668;-23.69,-10.706,6.825;-23.314,-10.65,5.5;-22.359,-11.523,5.016;-18.651,-12.687,6.442;-17.816,-12.629,7.427;-17.764,-13.498,8.3;-16.841,-11.446,7.524;-15.651,-11.796,8.421;-17.651,-10.32,8.149;-16.839,-9.152,8.684;-17.779,-8.026,9.07;-16.992,-6.868,9.634;-16.595,-5.758,8.992;-16.871,-5.427,7.535;-15.547,-5.171,6.835;-15.686,-4.935,5.32;-15.608,-6.198,4.439;-14.208,-6.804,4.55;-15.778,-5.807,3.035;-15.871,-6.698,2.029;-15.837,-7.914,2.191;-16.041,-6.098,0.621;-14.762,-5.421,0.208;-13.593,-6.336,0.198;-12.326,-5.606,-0.121;-11.262,-6.583,-0.126;-10.57,-6.963,0.944;-10.819,-6.451,2.158;-9.617,-7.882,0.796;-9.4304,-8.2795,-0.1246;-17.081,-5.127,0.603;-18.271,-5.38,1.088;-18.643,-6.495,1.511;-19.163,-4.19,1.146;-18.796,-3.337,2.377;-18.84,-4.124,3.558;-20.508,-4.655,1.222;-21.102,-5.208,0.176;-20.608,-5.24,-0.952;-22.421,-5.839,0.458;-22.264,-7.353,0.519;-23.529,-8.061,0.886;-23.912,-8.205,2.221;-25.085,-8.845,2.55;-25.86,-9.374,1.567;-26.988,-10.03,1.864;-25.507,-9.259,0.233;-24.354,-8.599,-0.092;-23.354,-5.471,-0.579;-24.478,-4.83,-0.308;-24.862,-4.604,0.849;-25.291,-4.38,-1.512;-25.121,-2.87,-1.741;-25.8,-2.36,-3.012;-26.13,-0.867,-2.963;-24.924,-0.037,-3.024;-24.844,1.258,-2.696;-23.666,1.884,-2.799;-25.909,1.932,-2.254;-26.8084,1.46,-2.1602;-26.683,-4.725,-1.275;-27.363,-5.561,-2.05;-26.929,-6.015,-3.105;-28.763,-5.923,-1.574;-28.892,-7.447,-1.485;-30.154,-7.955,-0.792;-30.435,-7.314,0.577;-29.249,-7.32,1.543;-29.513,-6.505,2.765;-29.783,-5.381,-2.468;-30.527,-4.315,-2.157;-30.361,-3.656,-1.135;-31.602,-3.914,-3.18;-31.01,-2.892,-4.16;-31.67,-2.907,-5.527;-31.322,-1.664,-6.336;-31.143,-1.982,-7.816;-32.315,-2.677,-8.413;-32.863,-3.404,-2.627;-33.52,-3.888,-1.564;-34.857,-3.23,-1.284;-33.111,-4.799,-0.864;-16.685,-7.168,4.863;-16.299,-8.207,5.42;-17.921,-6.861,4.599;-19.073,-7.688,4.962;-20.406,-7.089,4.478;-20.822,-5.754,5.044;-22.204,-5.339,4.554;-23.234,-5.812,5.246;-22.345,-4.59,3.56;-18.97,-9.066,4.332;-19.292,-10.082,4.972;-18.547,-9.103,3.064;-18.43,-10.391,2.378;-18.177,-10.222,0.865;-19.348,-9.545,0.13;-18.955,-9.174,-1.296;-20.62,-10.398,0.097;-17.383,-11.265,3.031;-17.623,-12.466,3.227;-16.235,-10.692,3.369;-15.195,-11.462,4.025;-13.864,-10.71,4.073;-13.175,-10.385,2.737;-11.84,-9.698,2.994;-12.945,-11.613,1.863;-15.669,-11.953,5.402;-15.529,-13.148,5.693;-16.302,-11.08,6.216;-16.825,-17.212,6.548;-16.898,-18.435,6.515;-16.592,-16.534,7.673;-16.194,-17.176,8.936;-16.019,-16.101,10.014;-17.184,-18.233,9.421;-16.781,-19.314,9.847;-18.394,-18.013,9.39)| +CC(C)c1ccc(O)cc1 |(-16.822,-2.473,-26.609;-16.51,-3.42,-27.774;-17.7,-3.484,-28.735;-16.221,-4.706,-27.311;-15.069,-5.34,-27.758;-14.76,-6.616,-27.312;-15.596,-7.276,-26.422;-15.275,-8.534,-26.002;-16.753,-6.645,-25.973;-17.066,-5.362,-26.419)| +C/C=C(C)/C=C/C=C(C)/C=C/[C@@H]1[C@H](C)CCCC1(C)C |(5.717,10.292,-27.876;6.726,11.32,-27.741;6.542,12.65,-27.555;5.193,13.283,-27.44;7.688,13.497,-27.369;7.698,14.814,-27.09;8.91,15.543,-26.836;9.153,16.881,-26.904;8.166,17.926,-27.355;10.472,17.3,-26.53;11.364,17.942,-27.219;12.687,18.208,-26.699;13.561,17.215,-26.489;13.583,15.93,-27.274;14.496,17.211,-25.322;14.827,18.599,-24.796;14.424,19.721,-25.748;12.975,19.633,-26.236;12.756,20.624,-27.384;12.057,20.014,-25.07)| +CCC(C)(c1ccc(O)cc1)c1ccc(O)cc1 |(-16.031,-0.649,-26.101;-15.735,-2.163,-26.064;-16.701,-3.015,-26.921;-18.109,-2.657,-26.407;-16.654,-2.758,-28.328;-15.567,-2.15,-28.977;-15.563,-1.922,-30.355;-16.654,-2.315,-31.121;-16.664,-2.111,-32.469;-17.734,-2.926,-30.495;-17.738,-3.15,-29.118;-16.424,-4.369,-26.619;-17.179,-5.107,-25.694;-16.876,-6.434,-25.383;-15.798,-7.048,-26.024;-15.463,-8.35,-25.745;-15.04,-6.314,-26.941;-15.351,-4.997,-27.244)| +CC(C)C[C@H](NC(=O)[C@@H]([NH3+])CO)C(=O)N[C@@H](CC(=O)O)C(=O)N[C@@H](CO)C(=O)N[C@@H](COP(=O)(O)O)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H](CC(N)=O)C(=O)N[C@H](C(=O)N[C@@H](CO)C(=O)O)[C@@H](C)O |(10.888,39.308,17.162;10.028,38.906,15.988;9.467,37.549,16.269;8.899,39.915,15.71;9.241,41.414,15.522;8.033,42.235,15.404;7.828,43.376,16.108;8.642,43.813,16.94;6.516,44.153,15.826;5.78,43.61,14.684;5.626,44.215,17.068;6.16,45.084,18.055;10.159,41.664,14.318;9.688,41.97,13.223;11.47,41.608,14.549;12.479,41.873,13.529;13.821,42.19,14.217;14.964,42.676,13.352;16.113,42.731,13.867;14.718,43.017,12.16;12.615,40.682,12.594;12.58,39.542,13.05;12.779,40.953,11.283;12.976,39.938,10.234;12.69,40.536,8.86;11.33,40.906,8.732;14.416,39.438,10.254;14.715,38.355,9.746;15.31,40.271,10.8;16.738,40.012,10.915;17.365,41.376,10.607;18.199,41.321,9.46;18.013,42.671,8.7;18.723,42.346,7.419;16.558,43.147,8.329;18.749,43.801,9.469;17.114,39.567,12.345;16.485,40.006,13.314;18.148,38.722,12.512;19.026,38.103,11.505;19.406,36.827,12.161;19.346,37.035,13.645;18.523,38.311,13.871;19.327,39.402,14.591;19.862,40.279,13.915;19.453,39.398,15.937;18.886,38.465,16.927;18.838,39.286,18.166;20.018,40.2,18.083;20.263,40.437,16.587;21.749,40.382,16.179;22.481,39.453,16.541;22.156,41.333,15.318;23.533,41.438,14.826;23.597,42.278,13.525;22.747,41.773,12.352;22.244,42.694,11.536;22.563,40.566,12.124;24.364,42.057,15.952;24.071,43.181,16.374;25.323,41.29,16.52;26.144,41.76,17.657;27.674,41.55,17.428;28.326,40.769,18.136;28.23,42.302,16.434;29.643,42.323,16.027;29.922,41.213,15.014;29.776,39.929,15.599;30.037,43.702,15.435;30.326,43.842,14.236;30.081,44.727,16.134;25.644,41.176,18.994;24.398,41.888,19.514;25.409,39.771,18.852)| +Cc1ccc(S[C@@H]2O[C@H](CO)[C@H](O)[C@H](n3cc(-c4ccc(F)c(F)c4)nn3)[C@H]2O)cc1 |(-25.394,9.023,-5.805;-24.264,9.299,-4.802;-23.891,10.618,-4.434;-22.846,10.879,-3.504;-22.138,9.838,-2.887;-20.807,10.176,-1.713;-19.767,8.709,-1.624;-20.289,7.737,-0.752;-19.666,6.461,-0.86;-20.354,5.477,0.037;-21.705,5.371,-0.302;-18.192,6.617,-0.569;-18.003,7.02,0.757;-17.619,7.68,-1.525;-16.184,7.819,-1.352;-15.448,8.228,-0.236;-14.118,8.206,-0.534;-12.954,8.494,0.238;-11.687,8.707,-0.346;-10.55,8.966,0.385;-10.61,8.998,1.764;-9.582,9.237,2.498;-11.894,8.776,2.362;-11.984,8.792,3.658;-12.985,8.534,1.586;-14.088,7.756,-1.858;-15.276,7.543,-2.309;-18.298,9.03,-1.395;-17.878,9.893,-2.433;-22.502,8.531,-3.247;-23.536,8.272,-4.177)| +[H]/N=C(/N)NCCC[C@H](NC(=O)[C@H](C)[NH3+])C(=O)N[C@H](C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CCC(N)=O)C(=O)N[C@H](C(=O)N[C@@H](C)C(=O)N[C@@H](CCCN/C(N)=N\[H])C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CO)C(=O)N[C@H](C(=O)NCC(=O)NCC(=O)N[C@@H](CCCCNC(=O)/C=C/C)C(=O)N[C@@H](C)C(=O)N1CCC[C@H]1C(=O)O)[C@@H](C)O)[C@@H](C)O)[C@@H](C)O |(104.457,-9.4778,35.2007;105.005,-9.675,34.363;105.413,-10.905,34.116;106.155,-11.156,33.035;105.105,-11.881,34.966;104.299,-11.699,36.171;102.972,-12.426,36.054;102.207,-12.019,34.785;100.823,-12.657,34.664;100.923,-14.106,34.574;99.976,-14.922,35.024;98.984,-14.525,35.601;100.198,-16.419,34.778;99.762,-16.789,33.356;99.5,-17.253,35.748;100.123,-12.129,33.422;100.357,-12.61,32.309;99.202,-11.203,33.62;98.514,-10.603,32.492;98.72,-9.102,32.55;99.231,-8.562,33.539;98.257,-8.422,31.496;98.328,-6.967,31.492;97.724,-6.413,30.192;97.777,-4.886,30.086;97.362,-4.374,28.705;98.34,-4.822,27.635;98.72,-3.761,26.649;97.614,-6.385,32.699;98.042,-5.36,33.242;96.558,-7.051,33.159;95.809,-6.589,34.319;94.414,-7.215,34.298;93.501,-6.84,35.437;92.056,-7.064,35.05;91.4,-8.026,35.689;91.536,-6.374,34.171;96.553,-6.873,35.621;96.678,-5.985,36.471;97.063,-8.099,35.799;97.767,-8.417,37.043;99.018,-7.555,37.207;99.324,-7.095,38.314;99.753,-7.325,36.115;100.954,-6.495,36.186;101.713,-6.55,34.863;100.601,-5.057,36.549;101.237,-4.448,37.417;99.581,-4.498,35.884;99.16,-3.123,36.15;97.974,-2.767,35.254;97.788,-1.303,34.99;96.45,-1.066,34.325;96.514,-1.202,32.873;95.762,-2.043,32.167;95.876,-2.094,30.843;94.894,-2.835,32.783;94.8027,-2.7996,33.7983;98.787,-2.929,37.613;99.13,-1.907,38.218;98.09,-3.899,38.206;97.759,-3.785,39.622;96.601,-4.721,39.971;95.251,-4.016,40.03;94.108,-4.951,39.669;92.893,-4.172,39.181;93.265,-3.099,38.215;98.965,-4.076,40.507;99.155,-3.414,41.531;99.794,-5.051,40.117;100.967,-5.429,40.905;101.739,-6.53,40.175;103.027,-6.708,40.726;101.875,-4.237,41.185;102.48,-4.142,42.259;102.023,-3.343,40.209;102.838,-2.148,40.376;102.129,-1.044,41.14;102.793,-0.136,41.647;100.807,-1.06,41.182;100.076,0.112,41.602;100.121,1.152,40.496;100.657,0.938,39.41;99.558,2.314,40.796;99.495,3.372,39.806;100.823,4.018,39.454;101.781,3.967,40.225;100.876,4.607,38.266;101.905,5.52,37.922;101.808,5.925,36.458;102.055,4.735,35.539;101.607,5.087,34.12;101.777,3.866,33.202;103.16,3.83,32.797;103.957,2.639,32.824;103.503,1.555,33.146;105.408,2.762,32.387;106.253,1.726,32.6;107.694,1.856,32.167;101.75,6.73,38.831;100.616,7.051,39.265;102.839,7.422,39.136;102.732,8.644,39.929;104.114,9.191,40.261;101.911,9.703,39.203;102.101,9.937,38.013;100.978,10.343,39.916;100.468,10.005,41.256;99.418,11.051,41.504;99.008,11.59,40.175;100.252,11.457,39.298;101.078,12.746,39.304;102.245,12.722,39.713;100.57,13.799,38.9;103.246,-1.593,39.014;103.748,-2.712,38.108;102.111,-0.963,38.409;98.135,-9.908,37.105;96.936,-10.778,36.745;99.212,-10.205,36.202;97.018,-10.929,32.492;96.813,-12.443,32.472;96.411,-10.371,33.664)| +NC(=O)c1cccc2c1OC(=Cc1ccc(C(=O)N3CCN(c4nc5ccccc5[nH]4)CC3)cc1)C2=O |(25.191,-5.795,11.387;25.785,-4.714,11.886;25.33,-4.095,12.857;27.032,-4.231,11.209;27.784,-3.237,11.84;28.891,-2.678,11.214;29.267,-3.089,9.941;28.531,-4.086,9.301;27.449,-4.669,9.953;26.972,-5.752,9.238;27.741,-5.91,8.101;27.59,-6.897,7.214;26.477,-7.801,6.942;25.289,-7.882,7.674;24.289,-8.772,7.319;24.442,-9.613,6.22;23.402,-10.617,5.834;22.858,-10.514,4.757;23.133,-11.642,6.669;23.777,-11.878,7.971;22.732,-12.082,9.05;21.85,-13.199,8.689;21.25,-14.004,9.649;21.801,-14.186,10.878;20.937,-14.995,11.59;20.963,-15.489,12.889;19.907,-16.285,13.31;18.849,-16.575,12.454;18.826,-16.076,11.155;19.884,-15.276,10.72;20.104,-14.636,9.493;21.164,-12.918,7.421;22.18,-12.701,6.306;25.613,-9.526,5.476;26.613,-8.638,5.832;28.759,-4.856,8.059;29.574,-4.661,7.147)| +O=C1N[C@H](c2c([C@H]3CCC[NH2+]3)[nH]c3ccccc23)c2ccccc21 |(-23.64,-26.277,-20.561;-22.729,-26.577,-19.706;-23.011,-27.046,-18.469;-21.722,-27.284,-17.785;-21.683,-26.58,-16.47;-21.779,-27.072,-15.078;-21.963,-28.484,-14.678;-20.913,-28.932,-13.682;-21.629,-29.96,-12.816;-23.117,-29.658,-12.941;-23.267,-28.632,-13.996;-21.701,-26.007,-14.244;-21.545,-24.839,-14.912;-21.413,-23.519,-14.487;-21.274,-22.505,-15.436;-21.257,-22.777,-16.807;-21.385,-24.08,-17.291;-21.529,-25.109,-16.369;-20.691,-26.889,-18.746;-19.318,-26.922,-18.606;-18.55,-26.495,-19.692;-19.137,-26.055,-20.885;-20.518,-26.019,-21.069;-21.286,-26.436,-20.001)| +[H]/N=C(/N)NCCC[C@@H]1NC(=O)[C@@H]2ON2C(=O)[C@H](CC(=O)O)NC(=O)[C@@H]2CCCN2C(=O)[C@H](Cc2ccccc2)NC(=O)[C@@H]2CSSC[C@H](NC1=O)C(=O)N[C@@H]([C@@H](C)O)C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCN/C(N)=N\[H])C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H]([C@@H](C)CC)C(=O)N2 |(-6.9321,5.4316,38.6044;-6.807,5.369,37.594;-5.602,5.124,37.087;-5.452,5.044,35.767;-4.557,4.96,37.896;-3.192,4.659,37.453;-2.131,5.65,37.953;-2.52,7.087,37.674;-1.356,8.084,37.609;-0.752,8.249,38.929;0.382,8.936,39.063;0.998,9.388,38.095;0.929,9.142,40.465;0.074,8.652,41.502;0.035,8.795,41.552;0.31,7.643,42.169;1.239,6.897,41.856;-0.55,7.317,43.384;-1.176,5.925,43.23;-1.759,5.683,41.839;-1.783,4.5,41.429;-2.196,6.648,41.166;-1.578,8.332,43.631;-1.294,9.458,44.28;-0.157,9.703,44.709;-2.408,10.466,44.508;-3.141,10.225,45.837;-4.527,10.709,45.577;-4.823,10.354,44.144;-3.494,10.412,43.512;-3.22,10.617,42.224;-2.069,10.819,41.83;-4.385,10.615,41.245;-4.728,9.173,40.838;-5.944,9.077,39.947;-7.211,8.959,40.488;-8.334,8.886,39.657;-8.181,8.947,38.288;-6.923,9.08,37.747;-5.817,9.145,38.572;-4.042,11.384,40.062;-4.781,12.38,39.596;-5.78,12.819,40.182;-4.295,12.974,38.282;-3.128,13.937,38.543;-2.268,14.466,37.027;-0.844,13.024,36.58;-1.304,12.125,35.068;-2.259,10.927,35.249;-1.634,9.771,35.878;-1.899,9.424,37.139;-2.567,10.13,37.901;-2.793,10.514,33.889;-2.091,9.863,33.107;-4.036,10.896,33.608;-4.544,10.68,32.265;-6.045,10.945,32.205;-6.786,10.115,33.251;-6.296,12.345,32.387;-3.842,11.603,31.279;-3.201,12.592,31.648;-3.984,11.275,29.995;-3.318,12.007,28.926;-2.598,11.037,27.998;-1.404,10.43,28.75;-0.635,9.418,27.963;0.46,8.833,28.835;1.236,7.821,28.107;-4.256,12.974,28.214;-4.136,13.207,27.008;-5.202,13.537,28.955;-6.091,14.571,28.457;-7.461,14.431,29.13;-7.328,14.334,30.556;-5.504,15.956,28.733;-4.566,16.123,29.515;-6.08,16.961,28.082;-5.777,18.355,28.391;-5.407,19.115,27.112;-5.075,20.582,27.351;-4.824,21.328,26.05;-6.061,21.6,25.325;-6.894,22.596,25.611;-6.627,23.424,26.615;-7.993,22.767,24.892;-8.2002,22.1346,24.119;-6.997,18.984,29.048;-8.026,19.167,28.381;-6.963,19.293,30.354;-8.116,19.915,31.032;-7.646,20.052,32.471;-6.158,20.021,32.427;-5.853,19.052,31.28;-5.86,17.611,31.784;-6.866,16.918,31.619;-4.745,17.159,32.355;-3.458,17.86,32.504;-2.72,16.983,33.471;-3.202,15.605,33.21;-4.688,15.791,32.884;-5.521,15.651,34.145;-5.677,16.591,34.93;-6.052,14.449,34.33;-6.72,14.053,35.563;-7.994,13.257,35.247;-8.609,12.677,36.511;-8.999,14.147,34.509;-9.986,13.39,33.646;-5.726,13.196,36.329;-5.253,12.179,35.812;-5.382,13.608,37.55)| +O=C(NNS(=O)(=O)c1ccccc1)c1cc(-c2ccccc2)ccc1F |(5.493,10.1,17.02;5.188,10.841,17.975;4.034,10.646,18.726;3.163,9.698,18.337;3.315,8.207,19.326;4.747,7.836,19.679;2.655,7.055,18.684;2.605,8.519,20.978;3.237,9.476,21.763;2.699,9.67,23.044;1.569,8.949,23.487;0.963,7.97,22.67;1.515,7.781,21.396;6.02,11.959,18.325;6.532,12.815,17.352;7.363,13.911,17.672;7.829,14.771,16.614;8.315,14.322,15.371;8.745,15.209,14.347;8.627,16.596,14.547;8.096,17.13,15.753;7.755,16.221,16.773;7.654,14.186,19.047;7.13,13.338,20.064;6.318,12.257,19.685;5.782,11.419,20.634)| +[H]/N=C(/N)NCCC[C@@H]1NC(=O)[C@@H]2ON2C(=O)[C@H](CC(=O)O)NC(=O)[C@@H]2CCCN2C(=O)[C@H](Cc2ccccc2)NC(=O)[C@@H]2CSSC[C@H](NC1=O)C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CO)C(=O)N[C@@H]([C@@H](C)CC)C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H]([C@@H](C)CC)C(=O)N2 |(53.9332,11.6928,109.899;53.063,11.914,110.383;53.061,12.088,111.701;51.925,12.367,112.334;54.192,11.974,112.389;55.492,11.671,111.795;56.568,12.65,112.255;56.152,14.073,111.935;57.288,15.095,111.857;57.92,15.261,113.162;59.012,16.01,113.3;59.554,16.588,112.359;59.58,16.122,114.702;58.734,15.547,115.497;58.628,15.766,115.736;58.987,14.589,116.232;59.902,13.823,115.92;58.178,14.355,117.511;57.499,12.981,117.465;56.952,12.637,116.086;57.1,11.468,115.672;56.379,13.525,115.413;57.194,15.411,117.741;57.49,16.501,118.447;58.622,16.705,118.904;56.4,17.529,118.696;55.707,17.302,120.049;54.271,17.654,119.808;53.99,17.273,118.386;55.29,17.475,117.73;55.527,17.669,116.43;56.672,17.835,115.998;54.33,17.698,115.496;53.898,16.268,115.135;52.618,16.217,114.36;52.61,16.446,112.993;51.429,16.421,112.281;50.237,16.163,112.93;50.231,15.939,114.28;51.416,15.972,114.997;54.647,18.429,114.28;53.904,19.421,113.813;52.937,19.89,114.421;54.344,19.974,112.466;55.521,20.942,112.641;56.31,21.379,111.071;57.691,19.9,110.754;57.185,19.038,109.26;56.241,17.855,109.493;56.919,16.726,110.111;56.696,16.411,111.38;56.028,17.125,112.131;55.653,17.396,108.172;56.359,16.811,107.343;54.359,17.635,107.999;53.726,17.415,106.707;52.207,17.334,106.884;51.774,16.044,107.562;51.735,15.944,108.945;51.364,14.766,109.57;51.021,13.667,108.825;50.658,12.512,109.489;51.057,13.731,107.442;51.432,14.919,106.821;54.124,18.552,105.779;54.235,19.704,106.201;54.353,18.218,104.505;55.026,19.112,103.552;55.904,18.287,102.611;57.072,17.643,103.367;57.842,16.63,102.535;59.07,16.125,103.311;59.756,15.045,102.546;54.088,20.048,102.787;54.294,20.306,101.597;53.047,20.562,103.437;52.207,21.616,102.892;50.821,21.553,103.535;50.939,21.471,104.958;52.829,22.99,103.154;53.84,23.124,103.855;52.211,24.026,102.586;52.507,25.416,102.91;52.909,26.24,101.678;53.063,27.714,102.054;54.219,25.725,101.073;54.561,26.385,99.752;51.264,26.015,103.57;50.23,26.165,102.906;51.311,26.376,104.863;50.188,27.084,105.502;50.578,27.115,106.961;52.063,27.067,106.978;52.43,26.171,105.787;52.512,24.709,106.218;51.518,23.985,106.089;53.679,24.27,106.682;54.955,25,106.786;55.731,24.169,107.776;55.283,22.758,107.501;53.792,22.895,107.172;52.943,22.702,108.416;52.683,23.638,109.175;52.488,21.468,108.603;51.825,21.041,109.83;50.523,20.281,109.525;49.864,19.79,110.809;49.582,21.165,108.692;48.535,20.406,107.895;52.824,20.166,110.572;53.232,19.115,110.065;53.236,20.603,111.762)| +CCNC(=O)c1cc2c(-c3cc(C(C)(C)O)ccc3Oc3c(C)cc(F)cc3C)cn(C)c(=O)c2[nH]1 |(21.053,-4.192,-11.091;20.64,-5.629,-10.979;21.224,-6.26,-9.799;21.168,-7.573,-9.576;20.652,-8.362,-10.362;21.832,-8.062,-8.357;21.769,-9.345,-7.882;22.487,-9.402,-6.659;22.736,-10.377,-5.616;22.181,-11.754,-5.734;23.002,-12.885,-5.6;22.491,-14.182,-5.693;23.397,-15.413,-5.612;23.124,-16.247,-4.362;23.254,-16.278,-6.862;24.784,-15.017,-5.54;21.124,-14.337,-5.915;20.29,-13.242,-6.056;20.814,-11.955,-5.968;19.997,-10.826,-6.116;18.61,-10.912,-6.093;17.937,-11.129,-7.304;18.662,-11.202,-8.624;16.549,-11.22,-7.258;15.908,-11.093,-6.049;14.551,-11.18,-6.028;16.564,-10.875,-4.86;17.952,-10.762,-4.862;18.682,-10.389,-3.598;23.417,-9.976,-4.502;23.915,-8.711,-4.329;24.643,-8.371,-3.106;23.752,-7.696,-5.286;24.254,-6.588,-5.103;22.993,-8.112,-6.437;22.58,-7.316,-7.478)| +C[C@H]([NH3+])C(=O)N[C@@H](C)C(=O)N[C@@H](CC(=O)O)C(=O)N[C@H](C(=O)N[C@H](C(=O)N[C@H](C(=O)N1CCC[C@H]1C(=O)O)[C@@H](C)O)[C@@H](C)O)[C@@H](C)O |(-13.675,-9.528,3.437;-14.901,-8.625,3.595;-15.495,-8.335,2.296;-14.517,-7.338,4.317;-14.546,-6.253,3.734;-14.162,-7.465,5.591;-13.733,-6.316,6.371;-13.923,-6.579,7.865;-12.274,-5.988,6.08;-11.479,-6.857,5.709;-11.925,-4.715,6.251;-10.576,-4.237,5.996;-10.53,-3.315,4.77;-11.236,-1.994,5.008;-12.481,-1.96,4.927;-10.545,-0.99,5.28;-10.049,-3.506,7.223;-10.797,-3.154,8.139;-8.736,-3.278,7.228;-8.061,-2.553,8.293;-7.166,-1.48,7.688;-6.746,-1.58,6.532;-6.889,-0.444,8.477;-5.986,0.628,8.081;-4.611,0.487,8.722;-3.832,1.445,8.727;-4.295,-0.694,9.234;-3.132,-0.988,10.059;-2.499,-2.272,9.521;-3.185,-3.035,8.828;-1.193,-2.537,9.75;-0.064,-1.64,10.062;1.084,-2.58,10.274;0.79,-3.782,9.449;-0.741,-3.892,9.406;-1.249,-4.939,10.391;-1.867,-5.911,9.96;-1.027,-4.784,11.591;-3.595,-1.118,11.517;-2.474,-1.506,12.462;-4.169,0.123,11.951;-6.593,1.991,8.43;-8.084,2.009,8.115;-6.404,2.264,9.823;-7.224,-3.495,9.177;-6.162,-4.21,8.347;-6.588,-2.743,10.218)| +Cc1noc(C)c1-c1n[nH]cc1-c1ccncc1 |(-2.241,8.422,-22.311;-3.704,8.065,-22.383;-4.502,8.21,-23.398;-5.636,7.819,-23.154;-5.737,7.35,-21.915;-6.978,6.747,-21.293;-4.489,7.483,-21.355;-4.065,7.068,-20.004;-4.279,5.828,-19.508;-3.78,5.771,-18.215;-3.235,6.935,-17.922;-3.385,7.792,-19.028;-2.893,9.185,-19.122;-1.567,9.47,-18.765;-1.087,10.752,-18.955;-1.874,11.72,-19.416;-3.138,11.494,-19.76;-3.676,10.221,-19.65)| +O=C(NNS(=O)(=O)c1ccc2ccccc2c1)c1ccccc1F |(-5.399,9.83,-16.918;-5.113,10.622,-17.855;-3.937,10.466,-18.615;-2.999,9.441,-18.322;-3.216,7.918,-19.253;-4.592,7.587,-19.621;-2.49,6.844,-18.548;-2.427,8.09,-20.897;-2.909,9.111,-21.705;-2.425,9.29,-22.977;-1.386,8.422,-23.402;-0.88,8.586,-24.71;0.166,7.705,-25.098;0.669,6.707,-24.28;0.111,6.499,-23.014;-0.865,7.402,-22.57;-1.404,7.189,-21.276;-5.891,11.756,-18.265;-6.49,12.565,-17.272;-7.242,13.67,-17.729;-7.437,14.024,-19.119;-6.868,13.232,-20.114;-6.124,12.14,-19.665;-5.608,11.375,-20.694)| +CC[C@H](C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]1CO[C@H]2OCC[C@@H]12)S(=O)(=O)c1ccc([C@@H](O)CO)cc1 |(73.316,51.984,14.769;73.616,53.391,14.215;72.777,54.454,14.953;73.213,54.546,16.393;71.284,54.059,14.875;70.403,55.095,15.497;70.047,56.291,14.653;70.898,57.488,15.141;70.68,58.591,14.314;70.526,57.832,16.58;69.116,58.437,16.672;68.878,58.903,18.135;68.495,57.883,19.211;68.265,58.344,20.656;68.418,59.819,21.022;68.803,60.843,19.943;69.034,60.385,18.505;71.468,58.844,17.036;72.46,58.564,18.102;72.472,57.533,18.685;73.38,59.617,18.381;74.152,59.564,19.593;75.631,60.162,19.205;75.412,61.484,19.073;74.31,61.813,20.123;73.387,62.487,19.611;71.989,61.643,19.745;72.216,60.618,20.531;73.703,60.402,20.527;69.133,54.454,16.494;68.189,55.478,16.955;69.661,53.842,17.729;68.352,53.212,15.386;67.304,53.664,14.385;66.68,52.625,13.449;67.134,51.166,13.546;66.537,50.143,12.61;65.628,50.788,11.77;67.718,49.592,11.794;68.503,50.681,11.338;68.201,50.726,14.537;68.824,51.758,15.471)| +COc1cc(/C=C/C(=O)O)ccc1O |(-22.684,18.705,-14.604;-22.736,18.839,-13.196;-22.841,17.632,-12.475;-22.718,16.407,-13.108;-22.852,15.248,-12.344;-22.699,13.874,-12.929;-22.418,13.654,-14.212;-22.24,12.213,-14.593;-22.196,11.906,-15.804;-22.062,11.351,-13.677;-23.074,15.319,-10.985;-23.192,16.535,-10.347;-23.081,17.687,-11.112;-23.195,18.926,-10.471)| +NC(=O)c1cccc2c1OC(=Cc1ccc(C(=O)NCCc3nc4ccccc4[nH]3)cc1)C2=O |(25.857,-5.735,11.17;26.467,-4.649,11.643;26.022,-4.027,12.647;27.715,-4.177,10.947;28.482,-3.195,11.582;29.623,-2.674,10.989;30.024,-3.1,9.735;29.278,-4.079,9.086;28.154,-4.634,9.698;27.643,-5.675,8.94;28.43,-5.808,7.805;28.268,-6.741,6.867;27.246,-7.751,6.652;26.137,-8.033,7.445;25.302,-9.096,7.15;25.542,-9.904,6.041;24.695,-11.117,5.806;23.627,-11.256,6.394;25.172,-12.04,4.965;24.425,-13.244,4.614;25.275,-14.493,4.747;25.482,-14.887,6.168;25.016,-16.055,6.672;25.388,-16.102,8.002;25.214,-17.056,8.996;25.773,-16.812,10.244;26.467,-15.633,10.494;26.635,-14.681,9.495;26.091,-14.922,8.235;26.136,-14.168,7.061;26.624,-9.599,5.219;27.467,-8.55,5.527;29.487,-4.799,7.822;30.309,-4.572,6.91)| +COc1cc(Nc2c(C#N)cnc3cc(OCCC[NH+]4CC[NH+](C)CC4)c(OC)cc23)c(Cl)cc1Cl |(-43.914,-14.79,13.979;-43.509,-15.633,12.932;-44.518,-15.973,12.016;-45.797,-15.508,12.204;-46.787,-15.836,11.3;-48.177,-15.403,11.374;-48.58,-14.023,11.577;-47.624,-13.167,11.153;-46.244,-13.037,10.511;-45.217,-13.073,10.035;-47.828,-11.77,11.284;-49.002,-11.303,11.834;-49.975,-12.204,12.249;-51.203,-11.778,12.805;-52.147,-12.726,13.214;-53.4,-12.45,13.78;-53.917,-11.207,13.377;-55.449,-11.287,13.365;-55.911,-12.308,14.415;-56.584,-11.626,15.517;-56.932,-12.605,16.537;-57.736,-11.974,17.675;-58.882,-11.2,17.218;-59.478,-10.504,18.351;-58.544,-10.249,16.167;-57.759,-10.91,15.026;-51.904,-14.106,13.08;-52.877,-15.032,13.52;-52.558,-16.393,13.349;-50.699,-14.53,12.53;-49.749,-13.565,12.123;-46.516,-16.638,10.21;-47.629,-17.17,8.925;-45.227,-17.13,10;-44.226,-16.787,10.935;-42.519,-17.327,10.812)| +CC(=O)Nc1ccc(Cl)c(S(=O)(=O)NC(C)C)c1 |(18.537,-7.46,13.577;18.129,-6.249,14.392;18.816,-5.193,14.348;16.974,-6.468,15.023;16.469,-5.526,15.838;15.102,-5.532,16.01;14.526,-4.61,16.874;15.343,-3.761,17.598;14.625,-2.709,18.516;16.732,-3.772,17.43;17.774,-2.704,18.295;19.183,-2.838,17.905;17.538,-3.138,19.79;17.223,-1.121,18.188;17.078,-0.47,16.85;15.605,-0.081,16.635;17.595,-1.227,15.618;17.304,-4.665,16.564)| +CS[C@@H]1O[C@H](CO[C@@H]2O[C@@H](C)[C@@H](O)[C@@H](O)[C@@H]2O)[C@@H](O)[C@H](O)[C@H]1NC(C)=O |(-21.064,39.777,9.717;-21.399,41.489,9.24;-22.121,41.271,7.582;-21.35,40.311,6.859;-22.072,39.795,5.74;-21.187,38.696,5.156;-19.886,39.213,4.877;-19.709,39.35,3.45;-19.64,38.093,2.754;-18.505,37.317,3.171;-18.497,35.982,2.47;-17.203,38.049,2.867;-17.062,38.324,1.462;-17.207,39.35,3.656;-16.005,40.064,3.374;-18.441,40.168,3.266;-18.525,41.322,4.108;-22.522,40.9,4.747;-23.389,40.401,3.691;-23.309,41.965,5.503;-23.792,42.941,4.563;-22.491,42.49,6.705;-23.229,43.538,7.412;-22.766,44.788,7.642;-23.735,45.696,8.388;-21.643,45.18,7.277)| +CCC(=O)N1CCN(c2nc(=O)n(-c3c(C)ccnc3C(C)C)c3nc(-c4c(O)cccc4F)c(F)cc23)[C@@H](C)C1 |(-5.364,-2.168,-0.643;-4.277,-2.959,-1.369;-2.919,-3.127,-0.691;-2.563,-2.305,0.154;-2.128,-4.145,-1.011;-0.822,-4.289,-0.337;0.121,-5.16,-1.149;-0.516,-6.457,-1.522;0.232,-7.655,-1.586;-0.485,-8.794,-1.541;0.088,-10.003,-1.564;-0.606,-11.017,-1.525;1.468,-10.112,-1.635;2.047,-11.378,-1.648;2.347,-11.976,-2.86;2.037,-11.248,-4.165;2.924,-13.24,-2.857;3.178,-13.859,-1.638;2.882,-13.267,-0.492;2.32,-12.047,-0.454;2.006,-11.42,0.913;0.986,-12.27,1.683;3.303,-11.287,1.711;2.258,-8.966,-1.68;3.595,-9.086,-1.744;4.408,-8.024,-1.795;5.789,-8.217,-1.865;6.343,-8.975,-2.901;5.556,-9.536,-3.856;7.719,-9.162,-2.966;8.55,-8.602,-2.005;8.011,-7.85,-0.968;6.635,-7.66,-0.895;6.144,-6.931,0.129;3.854,-6.742,-1.782;4.658,-5.663,-1.836;2.467,-6.591,-1.708;1.642,-7.717,-1.656;-1.985,-6.526,-1.667;-2.61,-7.064,-0.371;-2.541,-5.147,-2.02)| +COc1ccc(CO/N=C2/C=C/C=C\[C@H]3O[C@@H]3C[C@@H](C)OC(=O)c3c(O)cc(O)cc3C2)cc1 |(14.53,30.086,52.383;14.947,29.913,53.719;15.378,28.65,54.184;15.94,28.623,55.456;16.377,27.422,55.997;16.254,26.254,55.253;16.741,24.939,55.836;17.634,24.404,54.87;18.888,24.871,55.184;19.897,24.733,54.33;21.27,25.255,54.773;22.017,26.134,54.043;23.343,26.619,54.637;24.582,26.18,54.298;24.826,24.93,53.167;25.97,24.624,52.224;25.295,23.456,52.861;24.62,22.58,51.821;23.231,22.155,52.215;23.237,21.665,53.651;22.414,23.278,52.084;21.743,23.4,50.842;22.005,22.669,49.902;20.684,24.492,50.669;20.715,25.194,49.469;21.688,24.864,48.503;19.794,26.208,49.22;18.835,26.518,50.183;17.909,27.549,49.918;18.797,25.817,51.399;19.73,24.804,51.662;19.673,24.008,52.997;15.7,26.272,53.976;15.258,27.472,53.442)| +COc1cc(C[C@H]2COC[C@@H]2Cc2ccc(O)c(OC)c2)ccc1O |(13.499,34.981,-4.142;13.532,34.996,-2.715;13.899,33.8,-2.171;14.402,32.729,-2.9;14.748,31.541,-2.255;15.256,30.432,-2.952;14.679,30.321,-4.38;15.306,29.114,-5.09;14.633,27.964,-4.483;13.347,28.442,-3.948;13.212,29.895,-4.428;12.592,29.933,-5.843;12.108,31.226,-6.083;10.813,31.56,-5.695;10.315,32.838,-5.916;11.125,33.783,-6.528;10.707,35.055,-6.777;12.414,33.462,-6.927;13.112,34.478,-7.515;14.485,34.17,-7.77;12.915,32.18,-6.704;14.591,31.446,-0.876;14.088,32.517,-0.146;13.745,33.691,-0.801;13.249,34.779,-0.154)| +CCC(=O)Nc1nc(-c2ccccc2)cs1 |(26.58,1.341,9.57;25.975,2.701,9.329;25.956,3.538,10.585;26.816,3.439,11.442;24.9,4.421,10.732;24.928,5.504,11.579;24.435,6.65,11.201;24.297,7.49,12.299;23.611,8.783,12.116;22.906,9.054,10.941;22.237,10.257,10.785;22.253,11.201,11.792;22.935,10.942,12.963;23.622,9.749,13.125;24.748,6.963,13.469;25.348,5.367,13.255)| +NC(=O)c1cccc2c1OC(=Cc1ccc(-c3nnn[nH]3)c(F)c1)C2=O |(24.946,-5.416,11.381;25.572,-4.307,11.796;25.159,-3.634,12.752;26.816,-3.878,11.072;27.598,-2.881,11.662;28.718,-2.376,11.007;29.071,-2.848,9.749;28.315,-3.851,9.158;27.213,-4.378,9.829;26.671,-5.44,9.129;27.417,-5.63,7.979;27.217,-6.623,7.115;26.063,-7.473,6.891;24.874,-7.468,7.621;23.842,-8.331,7.302;23.96,-9.23,6.241;22.841,-10.14,5.968;22.817,-11.065,5.005;21.652,-11.74,5.076;20.995,-11.224,6.063;21.703,-10.221,6.642;25.152,-9.204,5.526;25.318,-10.056,4.488;26.19,-8.359,5.821;28.488,-4.634,7.921;29.34,-4.497,6.999)| +CC(=O)N1c2ccc(-c3cnc(C(N)=O)nc3)cc2N(Cc2ccccc2CO)C[C@@H]1C1C=C1 |(39.679,15.09,5.87;41.032,15.083,6.512;41.781,14.127,6.398;41.414,16.189,7.234;40.63,17.358,7.431;39.888,17.958,6.418;39.173,19.112,6.683;39.183,19.696,7.947;38.453,20.954,8.225;37.21,21.262,7.688;36.559,22.403,7.936;37.204,23.237,8.75;36.519,24.551,9.056;37.359,25.58,9.123;35.297,24.648,9.246;38.394,23.05,9.314;38.984,21.939,9.043;39.959,19.107,8.944;40.69,17.952,8.697;41.463,17.37,9.773;41.697,18.155,10.986;40.797,17.765,12.137;39.668,16.986,11.888;38.829,16.598,12.917;39.104,16.983,14.21;40.221,17.753,14.479;41.08,18.153,13.457;42.292,18.995,13.784;42.203,20.298,13.233;42.701,16.718,9.331;42.737,16.215,7.896;43.684,17.108,7.112;45.149,16.871,7.3;44.509,16.532,6)| +COc1[nH]nc2ncc(-c3cn(-c4c(F)ccc(NS(=O)(=O)c5cccc(Br)c5)c4F)nn3)cc12 |(15.344,0.101,1.837;14.803,0.598,3.034;13.421,0.774,2.97;12.687,0.764,1.865;11.404,0.974,2.202;11.28,1.128,3.541;10.192,1.343,4.319;10.297,1.465,5.631;11.552,1.352,6.238;11.753,1.477,7.727;10.81,1.32,8.725;11.46,1.516,9.847;10.955,1.484,11.195;10.533,0.34,11.86;10.542,-0.867,11.204;10.104,0.452,13.185;10.109,1.699,13.822;10.557,2.805,13.106;10.624,4.162,13.57;10.188,4.555,15.13;10.547,5.931,15.46;10.888,3.704,16.099;8.403,4.293,15.284;7.525,4.556,14.256;6.164,4.329,14.436;5.689,3.83,15.641;6.587,3.579,16.645;6.021,2.859,18.35;7.929,3.797,16.469;10.969,2.69,11.817;11.381,3.806,11.156;12.758,1.799,9.599;12.933,1.764,8.269;12.687,1.12,5.473;12.545,1.005,4.081)| +Cc1cc(C[NH3+])cc(C)c1-c1ncn(C)c1-c1ccncc1 |(-6.906,7.354,-21.655;-5.791,7.734,-22.596;-6.122,8.143,-23.886;-5.159,8.523,-24.813;-5.543,8.932,-26.208;-5.567,7.779,-27.144;-3.829,8.507,-24.422;-3.433,8.11,-23.149;-1.963,8.14,-22.823;-4.43,7.731,-22.219;-4.043,7.265,-20.86;-4.338,5.959,-20.488;-3.935,5.852,-19.244;-3.333,6.97,-18.778;-2.785,7.151,-17.435;-3.43,7.926,-19.813;-2.888,9.3,-19.723;-3.667,10.394,-20.089;-3.114,11.659,-20.014;-1.845,11.893,-19.652;-1.096,10.829,-19.335;-1.562,9.528,-19.365)| +[NH3+][C@@H](Cc1c[nH]c2ccccc12)C(=O)[O-] |(45.068,11.176,20.508;44.533,11.946,19.383;43.017,12.127,19.516;42.572,12.566,20.865;42.121,11.769,21.881;41.832,12.525,22.984;42.103,13.838,22.704;41.946,14.976,23.499;42.282,16.176,22.949;42.757,16.273,21.639;42.903,15.151,20.842;42.568,13.904,21.377;45.246,13.28,19.276;46.101,13.556,20.12;44.986,14.037,18.329)| +CSCC[C@H]([NH3+])C(=O)N[C@@H](Cc1c[nH]c2ccccc12)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](CC(C)C)C(=O)N[C@@H](Cc1ccccc1)C(=O)N[C@@H](CC(C)C)C(=O)[O-] |(3.792,-34.843,9.427;2.836,-34.292,10.85;2.346,-35.845,11.645;3.063,-36.195,12.949;4.473,-35.597,13.114;5.301,-35.808,11.896;5.197,-36.214,14.298;4.805,-37.267,14.814;6.277,-35.546,14.701;7.051,-35.941,15.877;8.496,-35.385,15.78;9.284,-35.408,17.067;8.899,-34.889,18.232;9.838,-35.085,19.195;10.911,-35.717,18.648;12.119,-36.121,19.228;13.018,-36.759,18.422;12.74,-37.001,17.068;11.531,-36.601,16.494;10.597,-35.947,17.295;6.267,-35.407,17.09;5.566,-34.4,16.971;6.386,-36.076,18.241;5.703,-35.65,19.49;5.144,-36.882,20.218;3.815,-37.454,19.701;2.633,-36.853,20.449;3.642,-37.293,18.192;6.56,-34.792,20.445;6.911,-35.223,21.549;6.87,-33.568,20.008;7.662,-32.607,20.797;9.108,-32.453,20.288;10.277,-32.371,21.3;9.907,-31.76,22.645;10.949,-33.691,21.609;6.991,-31.25,20.736;5.915,-31.115,20.151;7.639,-30.247,21.339;7.132,-28.869,21.361;5.601,-28.868,21.361;4.924,-27.563,20.935;5.382,-26.408,21.813;5.2,-27.269,19.469;7.657,-27.994,22.52;7.64,-28.409,23.679;8.111,-26.783,22.188;8.622,-25.798,23.17;7.656,-25.628,24.362;7.3,-26.89,25.198;7.238,-26.661,26.695;6.043,-27.557,24.74;10.053,-26.039,23.671;11.009,-25.543,23.061;10.171,-26.756,24.797;11.406,-27.128,25.453;12.324,-27.904,24.483;13.586,-28.435,25.104;13.894,-28.204,26.442;15.064,-28.663,26.971;15.975,-29.346,26.201;15.702,-29.573,24.866;14.516,-29.11,24.32;12.04,-25.884,26.108;11.506,-25.368,27.099;13.167,-25.412,25.567;13.878,-24.269,26.115;15.33,-24.197,25.602;16.328,-25.329,25.844;16.093,-26.458,24.88;17.734,-24.868,25.617;13.133,-23.019,25.647;13.734,-21.955,25.47;11.919,-23.023,25.39)| +Oc1ccc2c(c1)CCCC2 |(-15.605,-8.343,-25.289;-16.106,-7.101,-25.586;-17.306,-6.676,-25.01;-17.828,-5.421,-25.312;-17.113,-4.587,-26.168;-15.972,-5.036,-26.802;-15.42,-6.272,-26.477;-15.297,-4.129,-27.588;-16.003,-2.957,-28.339;-16.635,-2.228,-27.135;-17.606,-3.355,-26.577)| +CC1(C)C[C@@]2(C)c3ccccc3N[C@@]2(C)[NH2+]1 |(-7.37,-14.906,27.103;-6.395,-15.525,28.104;-6.65,-14.873,29.461;-6.53,-17.056,28.183;-5.466,-17.665,27.221;-5.145,-19.109,27.633;-5.892,-17.605,25.773;-7.048,-18.065,25.153;-7.242,-17.819,23.8;-6.297,-17.115,23.065;-5.149,-16.623,23.673;-4.967,-16.868,25.035;-3.906,-16.461,25.841;-4.297,-16.616,27.238;-3.089,-16.895,28.115;-4.946,-15.309,27.659)| +O=C(O)c1cncc(C#Cc2ccccc2)c1 |(-12.437,-29.997,-14.618;-11.767,-30.835,-15.273;-12.279,-31.504,-16.221;-10.309,-31.034,-14.913;-9.7,-30.247,-13.943;-8.43,-30.407,-13.609;-7.698,-31.325,-14.209;-8.248,-32.135,-15.19;-7.393,-33.188,-15.848;-6.784,-34.031,-16.389;-6.057,-35.177,-17.049;-4.965,-34.919,-17.86;-4.316,-35.963,-18.479;-4.752,-37.255,-18.271;-5.825,-37.512,-17.448;-6.493,-36.466,-16.83;-9.567,-31.998,-15.554)| +CC(c1ccc(O)cc1)c1ccc(O)cc1 |(48.067,-29.821,-96.222;48.836,-28.776,-97.003;48.438,-27.472,-96.634;47.352,-26.826,-97.233;47,-25.523,-96.839;47.735,-24.864,-95.842;47.401,-23.59,-95.445;48.817,-25.519,-95.241;49.162,-26.815,-95.641;48.689,-29.005,-98.375;49.731,-28.645,-99.215;49.626,-28.858,-100.579;48.487,-29.441,-101.11;48.419,-29.63,-102.439;47.432,-29.816,-100.285;47.544,-29.603,-98.912)| +Cc1ccccc1C1=CC(=O)C(O)C(C(=O)O)=N1 |(-23.854,15.948,134.692;-23.524,16.922,135.637;-24.48,17.238,136.598;-24.253,18.204,137.577;-23.032,18.866,137.601;-22.057,18.543,136.648;-22.296,17.58,135.663;-21.307,17.297,134.719;-21.512,17.643,133.376;-20.551,17.366,132.407;-20.803,17.695,131.239;-19.349,16.726,132.811;-18.4,16.441,131.858;-19.113,16.372,134.166;-17.944,15.74,134.63;-16.98,15.575,133.856;-17.836,15.326,135.82;-20.111,16.672,135.114)| +COCC[C@@H](O)CO |(4.406,-1.925,2.608;3.684,-0.783,2.881;2.243,-0.844,2.834;1.684,0.34,3.593;0.239,0.812,3.383;0.193,1.693,2.233;-0.818,-0.285,3.349;-2.158,0.256,3.447)| +O=C1N[C@H](c2c(C[NH2+]Cc3ccc4ccn(Cc5ccccc5)c4c3)[nH]c3ccccc23)c2cc(O)ccc21 |(13.529,11.428,-22.299;13.455,12.468,-21.667;14.408,13.413,-21.613;13.966,14.512,-20.755;15.005,14.772,-19.675;15.989,15.69,-19.742;16.254,16.629,-20.894;17.523,16.23,-21.534;18.276,17.335,-22.163;17.563,17.804,-23.406;17.794,17.198,-24.645;17.114,17.603,-25.766;16.168,18.637,-25.657;15.277,19.323,-26.596;14.6,20.254,-25.897;14.962,20.204,-24.577;14.391,21.018,-23.491;13.595,20.191,-22.494;13.497,20.614,-21.171;12.757,19.883,-20.244;12.093,18.725,-20.632;12.167,18.307,-21.954;12.911,19.04,-22.879;15.931,19.246,-24.403;16.632,18.814,-23.284;16.773,15.629,-18.623;16.307,14.667,-17.766;16.744,14.206,-16.517;16.063,13.174,-15.898;14.941,12.597,-16.508;14.512,13.029,-17.741;15.18,14.074,-18.391;12.592,14.123,-20.261;11.649,14.739,-19.46;10.429,14.105,-19.216;9.507,14.677,-18.403;10.149,12.86,-19.79;11.082,12.235,-20.592;12.304,12.873,-20.849)| +C=CCOc1cccc2c1-c1c(c3c(n1C(C)C)CCCC3=O)C2=O |(-23.159,20.954,-35.279;-22.394,20.679,-34.241;-22.986,20.495,-32.843;-22.155,19.609,-32.14;-22.244,19.649,-30.746;-23.223,20.445,-30.14;-23.327,20.488,-28.737;-22.445,19.743,-27.954;-21.466,18.951,-28.556;-21.353,18.895,-29.957;-20.251,17.999,-30.309;-19.677,17.484,-29.14;-18.623,16.622,-29.528;-18.596,16.642,-30.944;-19.575,17.462,-31.38;-19.866,17.752,-32.779;-18.662,18.385,-33.482;-20.425,16.543,-33.521;-17.514,15.773,-31.718;-16.874,14.68,-30.833;-16.526,15.115,-29.431;-17.633,15.804,-28.738;-17.744,15.754,-27.559;-20.408,18.051,-27.969;-20.212,17.833,-26.816)| +COc1nc(Nc2cc(S(C)(=O)=O)ccc2N[C@@H](c2cccc3c2OC(F)(F)O3)c2ncccc2Cl)nc(N2CC[NH2+]CC2)n1 |(28.362,-14.225,14.218;28.923,-13.682,15.437;29.532,-12.415,15.4;29.917,-11.842,14.247;30.527,-10.633,14.225;30.881,-10.038,13.054;30.653,-10.566,11.81;29.432,-11.206,11.491;29.226,-11.697,10.195;27.719,-12.551,9.801;26.684,-11.183,9.212;27.161,-13.086,11.004;28.049,-13.439,8.717;30.22,-11.539,9.216;31.399,-10.848,9.5;31.63,-10.402,10.816;32.783,-9.82,11.178;33.864,-9.553,10.249;33.644,-8.298,9.373;33.172,-7.06,9.85;33.027,-5.922,9.017;33.251,-6.014,7.636;33.645,-7.278,7.153;33.853,-8.354,7.986;34.222,-9.48,7.284;34.459,-8.916,5.971;35.732,-9.051,5.609;33.802,-9.678,5.079;33.998,-7.54,5.838;35.157,-9.302,11.036;35.096,-8.572,12.182;36.212,-8.234,12.873;37.49,-8.649,12.436;37.595,-9.43,11.272;36.428,-9.73,10.559;36.56,-10.664,9.094;30.792,-10.01,15.39;30.427,-10.539,16.579;30.742,-9.897,17.751;31.35,-8.558,17.808;32.81,-8.771,18.336;32.914,-9.63,19.564;32.002,-10.814,19.68;30.585,-10.563,19.071;29.826,-11.769,16.554)| +CCC(=O)N1CC(NC(=O)Cn2cc(C(=O)N3CCc4c(cccc4OC)C3)c3cc(Br)ccc32)C1 |(-3.141,-10.193,-10.729;-3.966,-10.717,-9.555;-3.993,-9.755,-8.352;-3.027,-9.563,-7.689;-5.224,-9.067,-8.007;-5.619,-8.095,-6.948;-6.944,-7.934,-7.598;-8.051,-8.332,-6.728;-8.239,-7.774,-5.383;-7.495,-6.966,-4.935;-9.439,-8.272,-4.567;-9.612,-7.484,-3.35;-10.412,-6.434,-3.255;-10.33,-5.922,-1.958;-11.117,-4.698,-1.414;-11.323,-4.618,-0.247;-11.63,-3.659,-2.309;-11.402,-3.723,-3.773;-11.637,-2.455,-4.57;-12.912,-1.748,-4.141;-13.28,-1.766,-2.833;-14.473,-1.101,-2.406;-15.253,-0.432,-3.352;-14.871,-0.418,-4.697;-13.705,-1.064,-5.114;-13.288,-1.075,-6.461;-13.819,-0.098,-7.317;-12.402,-2.504,-1.775;-9.416,-6.765,-1.255;-8.909,-6.79,0.067;-7.989,-7.777,0.45;-7.304,-7.807,2.265;-7.559,-8.745,-0.47;-8.053,-8.723,-1.772;-8.99,-7.72,-2.162;-6.612,-9.023,-8.554)| +O=c1ccccc2[nH]c3c(Cl)cccc3c12 |(3.738,11.777,27.936;4.578,11.531,27.024;4.501,12.224,25.858;5.262,12.173,24.739;6.351,11.453,24.345;7.039,10.518,24.979;6.671,10.094,26.333;7.417,9.137,26.896;6.879,8.923,28.126;7.239,8.054,29.146;8.648,6.941,28.954;6.518,8.041,30.329;5.436,8.893,30.499;5.067,9.763,29.493;5.779,9.761,28.324;5.651,10.502,27.181)| +CC1(C)c2[nH]c3cc(Br)c(Cl)cc3c2C[C@@]23C[N@@H+]4CCC[C@]4(C[C@@H]12)C(=O)N3 |(1.71,58.167,114.392;2.605,59.342,114.888;1.694,60.241,115.799;3.335,60.048,113.703;2.796,60.902,112.704;3.838,61.327,111.822;3.862,62.165,110.687;5.056,62.37,110.05;5.159,63.497,108.506;6.24,61.783,110.485;7.686,62.126,109.596;6.247,60.969,111.583;5.051,60.719,112.284;4.671,59.95,113.435;5.571,59.146,114.272;5.16,59.272,115.722;5.364,60.663,116.454;4.584,60.616,117.733;5.308,61.173,118.897;4.67,60.469,120.122;3.897,59.252,119.587;4.296,59.192,118.128;3.243,58.607,117.246;3.719,58.667,115.8;5.612,58.392,117.947;6.227,57.812,118.764;6.017,58.439,116.572)| +COc1nc(C(=O)[C@H]2C[C@@H]2C(=O)O)ncc1N(CC1CC1)c1cccc2ccccc12 |(6.823,58.159,31.97;5.866,58.627,31.007;4.995,57.683,30.535;5.102,56.402,30.937;4.2,55.572,30.384;4.344,54.177,30.792;5.414,53.83,31.314;3.188,53.233,30.575;3.298,51.985,29.727;3.229,51.887,31.254;2.039,51.296,31.979;2.139,50.612,33.009;0.862,51.554,31.352;3.222,55.885,29.521;3.166,57.181,29.171;4.04,58.156,29.655;3.965,59.522,29.267;2.622,60.12,29.126;2.026,59.948,27.785;1.126,60.988,27.161;2.458,60.695,26.557;5.01,60.476,29.073;5.222,61.552,29.956;6.223,62.5,29.745;7.035,62.394,28.626;6.859,61.318,27.756;7.685,61.184,26.658;7.512,60.126,25.767;6.498,59.197,25.955;5.672,59.327,27.066;5.847,60.363,27.97)| +c1ccc(-c2[nH]c3ccccc3c2Cn2ccnc2)cc1 |(-14.886,-28.97,-9.641;-14.545,-30.31,-9.589;-14.455,-30.966,-8.381;-14.752,-30.252,-7.23;-14.635,-30.919,-5.881;-13.833,-31.932,-5.636;-13.918,-32.28,-4.319;-13.286,-33.3,-3.565;-13.578,-33.441,-2.212;-14.486,-32.594,-1.576;-15.11,-31.6,-2.32;-14.822,-31.46,-3.703;-15.287,-30.559,-4.703;-16.325,-29.451,-4.479;-15.732,-28.237,-3.937;-14.436,-27.975,-3.831;-14.328,-26.723,-3.255;-15.565,-26.293,-3.046;-16.413,-27.222,-3.438;-15.065,-28.908,-7.278;-15.15,-28.254,-8.493)| +CC(=O)N1c2ccccc2N(Cc2ccccc2C(=O)O)C[C@@H]1C1C=C1 |(39.183,15.361,5.816;40.505,15.464,6.514;41.31,14.547,6.461;40.792,16.61,7.229;39.948,17.75,7.356;39.204,18.261,6.297;38.411,19.379,6.49;38.37,20.006,7.717;39.117,19.524,8.777;39.925,18.402,8.597;40.704,17.876,9.69;40.895,18.695,10.888;40.11,18.185,12.073;39.067,17.285,11.87;38.334,16.795,12.935;38.629,17.196,14.219;39.659,18.09,14.449;40.408,18.591,13.383;41.509,19.551,13.682;41.532,20.68,13.208;42.433,19.089,14.471;41.877,17.048,9.384;42.1,16.677,7.925;43.102,17.561,7.192;43.998,16.933,6.171;44.558,17.355,7.482)| +[H]/N=C(/N)NCCC[C@@H]1NC(=O)[C@@H]2ON2C(=O)[C@H](CC(=O)O)NC(=O)[C@@H]2CCCN2C(=O)[C@H](Cc2ccccc2)NC(=O)[C@@H]2CSSC[C@H](NC1=O)C(=O)N[C@@H](Cc1ccc(O)cc1)C(=O)N[C@@H](CCCC[NH3+])C(=O)N[C@@H](CO)C(=O)N[C@@H](CCCC[NH3+])C(=O)N1CCC[C@H]1C(=O)N1CCC[C@H]1C(=O)N[C@@H]([C@@H](C)CC)C(=O)N2 |(-2.2565,-2.6093,31.7253;-1.242,-2.517,31.776;-0.621,-2.622,32.951;0.706,-2.497,33.009;-1.319,-2.848,34.067;-2.778,-3.005,34.127;-3.214,-4.337,34.782;-2.961,-4.318,36.275;-3.51,-5.473,37.122;-2.582,-5.724,38.223;-2.928,-6.448,39.283;-4.047,-6.944,39.423;-1.858,-6.631,40.344;-0.724,-5.796,39.798;-0.569,-6.05,40.014;-0.174,-4.838,40.345;-0.819,-4.188,41.17;1.272,-4.466,40.009;1.334,-3.093,39.347;0.224,-2.885,38.343;-0.338,-1.77,38.315;-0.085,-3.833,37.582;1.871,-5.476,39.147;2.452,-6.537,39.69;2.48,-6.705,40.915;3.1,-7.575,38.788;4.604,-7.31,38.628;4.931,-7.841,37.296;3.727,-7.545,36.43;2.614,-7.575,37.396;1.331,-7.834,37.135;0.49,-7.925,38.039;0.938,-8.044,35.681;0.812,-6.697,34.952;0.754,-6.83,33.449;1.908,-7.073,32.719;1.864,-7.195,31.334;0.653,-7.088,30.67;-0.508,-6.858,31.388;-0.452,-6.728,32.772;-0.309,-8.786,35.593;-0.443,-9.891,34.873;0.504,-10.456,34.32;-1.855,-10.457,34.788;-2.084,-11.464,35.919;-3.826,-11.903,36.066;-4.579,-10.401,37.25;-5.843,-9.519,36.244;-5.301,-8.377,35.366;-4.972,-7.182,36.145;-3.712,-6.757,36.311;-2.741,-7.39,35.889;-6.339,-7.998,34.319;-7.415,-7.504,34.67;-6.007,-8.212,33.043;-6.964,-8.029,31.957;-6.233,-7.855,30.618;-5.54,-6.517,30.557;-4.306,-6.319,31.175;-3.695,-5.087,31.16;-4.315,-4.024,30.541;-3.707,-2.793,30.517;-5.534,-4.19,29.926;-6.149,-5.427,29.955;-7.903,-9.22,31.92;-7.47,-10.369,32.029;-9.197,-8.942,31.765;-10.237,-9.911,32.108;-11.461,-9.163,32.627;-11.216,-8.565,34.029;-12.284,-7.558,34.458;-11.97,-6.991,35.857;-12.901,-5.882,36.259;-10.6,-10.837,30.952;-11.77,-11.205,30.781;-9.62,-11.216,30.137;-9.828,-12.282,29.174;-8.789,-12.203,28.055;-7.462,-12.237,28.577;-9.766,-13.637,29.882;-9.441,-13.734,31.071;-10.085,-14.691,29.141;-9.98,-16.054,29.658;-11.353,-16.727,29.706;-11.356,-18.076,30.405;-12.768,-18.531,30.735;-12.808,-20.026,31.006;-11.937,-20.412,32.158;-9.019,-16.846,28.786;-9.35,-17.148,27.624;-7.807,-17.18,29.261;-6.832,-17.913,28.434;-5.574,-17.907,29.28;-6.026,-17.721,30.69;-7.251,-16.811,30.566;-6.858,-15.334,30.617;-6.693,-14.7,29.567;-6.765,-14.779,31.819;-7.077,-15.387,33.126;-6.546,-14.365,34.105;-6.784,-13.063,33.412;-6.42,-13.366,31.955;-4.939,-13.132,31.702;-4.118,-14.053,31.71;-4.606,-11.872,31.455;-3.217,-11.433,31.367;-2.937,-10.648,30.078;-1.447,-10.371,29.954;-3.466,-11.405,28.852;-3.716,-10.517,27.623;-2.953,-10.588,32.605;-3.533,-9.506,32.758;-2.091,-11.08,33.496)| +Cn1cnc(Cn2ccc3ccc(C[NH2+]Cc4[nH]c5ccccc5c4[C@H]4NC(=O)c5ccc(O)cc54)cc32)c1 |(10.877,17.955,-21.8;12.109,18.739,-21.922;13.043,18.914,-20.974;14.005,19.701,-21.414;13.673,20.048,-22.71;14.568,20.911,-23.548;15.13,20.116,-24.637;14.764,20.195,-25.962;15.398,19.242,-26.682;16.245,18.522,-25.775;17.142,17.451,-25.889;17.796,16.958,-24.766;17.592,17.526,-23.502;18.291,16.986,-22.277;17.475,16.024,-21.512;16.275,16.631,-20.884;15.86,15.732,-19.761;16.609,15.651,-18.61;16.068,14.672,-17.792;16.471,14.221,-16.538;15.738,13.204,-15.94;14.584,12.709,-16.543;14.198,13.149,-17.803;14.931,14.151,-18.441;14.811,14.86,-19.695;13.783,14.598,-20.782;14.2,13.467,-21.607;13.328,12.445,-21.634;13.466,11.389,-22.252;12.171,12.861,-20.817;10.995,12.187,-20.505;10.067,12.786,-19.674;10.297,14.066,-19.182;9.318,14.651,-18.435;11.467,14.748,-19.507;12.412,14.137,-20.334;16.731,18.616,-23.388;16.052,19.089,-24.503;12.5,19.434,-23.028)| +[NH3+]Cc1ccc(-c2ncc(OCC3CC[NH2+]CC3)nc2-c2ccc(-c3cn[nH]c3)cc2)cc1 |(-56.145,24.507,9.2;-57.414,23.962,8.66;-57.504,24.234,7.149;-58.503,23.554,6.404;-58.591,23.691,5.01;-57.693,24.623,4.398;-57.863,24.842,2.924;-58.035,26.155,2.515;-58.201,26.538,1.161;-58.185,25.569,0.188;-58.418,25.961,-1.16;-58.695,24.754,-2.05;-57.461,24.689,-2.979;-56.95,23.281,-3.478;-55.909,23.407,-4.615;-56.445,24.418,-5.641;-56.585,25.776,-5.02;-57.82,25.706,-4.078;-58.015,24.234,0.561;-57.907,23.803,1.95;-57.631,22.305,2.315;-56.791,21.985,3.421;-56.472,20.606,3.698;-57.008,19.552,2.84;-56.584,18.132,3.209;-56.614,17.589,4.543;-56.086,16.304,4.401;-55.722,16.016,3.001;-56.008,17.211,2.265;-57.782,19.852,1.688;-58.079,21.228,1.428;-56.706,25.392,5.103;-56.598,25.202,6.563)| \ No newline at end of file diff --git a/scripts/test_sequences_from_pdb.fasta b/scripts/test_sequences_from_pdb.fasta new file mode 100644 index 0000000..8777f40 --- /dev/null +++ b/scripts/test_sequences_from_pdb.fasta @@ -0,0 +1,414 @@ +>6d08 +GEFVVEKVLDRRVVKGKVEYLLKWKGGSDEDNTWEPEENLDCPDLIAEFLQSQK +>6np2 +TPWSKSELVRQLRDLGVRSGDMVMPHVSLRAVGPLADGPQTLVDALIEAVGPTGNILAFVSWRDSPYEQTLGHDAPPAAIAQSWPAFDPDHAPAYPGFGAINEFIRTYPGCRRSAHPDASMAAIGPDAAWLVAPHEMGAAYGPRSPIARFLAHAGKILSIGAGPDAVTALHYAEAVARIEGKRRVTYSMPLLREGKRVWVTTSDWDSNGILDEYAAPDGPDAVERIARDYLARTRVAQGPVGGAQSRLIDAADIVSFGIEWLEARHAA +>6oxq +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6oio +VKYVDKIHIGNYEIDAWYFSPFPEDYGKQPKLWLCEYCLKYMKYEKSYRFHLGQCQWRQPPGKEIYRKSNISVHEVDGKDHKIYCQNLCLLAKLFLDHTLYFDVEPFVFYILTEVDRQGAHIVGYFSKEKESPDGNNVSCIMILPPYQRRGYGRFLIAFSYELSKLESTVGSPEKPLSDLGKLSYRSYWSWVLLENLRDFRGTLSIKDLSQMTSITQNDIISTLQSLNMVKYWKGQHVICVTPKLVEEHLKSAQYKKPPITVDSVCLKWAPP +>6moa +LSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMP +>6e4c +MAMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIKEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSER +>6g24 +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEATKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYID +>6s55 +SMQEEDTFRELRIFLRNVTHRLAIDKRFRVFTKPVDPDEVPDYVTVIKQPMDLSSVISKIDLHKYLTVKDYLRDIDLICSNALEYNPDRDPGDRLIRHRACALRDTAYAIIKEELDEDFEQLCEEIQESR +>6seo +PRSVASSKLWMLEFSAFLEQQQDPDTYNKHLFVHIGPYLEAVDIRQIYDKFPEKKGGLKDLFERGPSNAFFLVKFWADLNTNSSFYGVSSQYESPENMIITCSTKVCSFGKQVVEVETEYARYENGHYSYRIHRSPLCEYMINFIHKLKHLPEKYMMNSVLENFTILQVVTNRDTQETLLCIAYVFEVSASEHGAQHHIYRLVK +>5zk5 +PEHYIKHPLQNRWALWFFKNDKSKTWQANLRLISKFDTVEDFWALYNHIQLSSNLMPGCDYSLFKDGIEPMWEDEKNKRGGRWLITLNKQQRRSDLDRFWLETLLCLIGESFDDYSDDVCGAVVNVRAKGDKIAIWTTECENREAVTHIGRVYKERLGLPPKIVIGYQSHADTATTKNRFVV +>6jid +EAVVISGRKLAQQIKQEVRQEVEEWVASGNKRPHLSVILVGENPASHSYVLNKTRAAAVVGINSETIMKPASISEEELLNLINKLNNDDNVDGLLVQLPLPEHIDERRICNAVSPDKDVDGFHVINVGRMCLDQYSMLPATPWGVWEIIKRTGIPTLGKNVVVAGRSKNVGMPIAMLLHTDGAHERPGGDATVTISHRYTPKEQLKKHTILADIVISAAGIPNLITADMIKEGAAVIDVGINRVHDKPKLVGDVDFEGVRQKAGYITPVPGGVGPMTVAMLMKNTIIAAKKVLR +>6qlu +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6a6k +NKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLE +>6qgf +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6te6 +LELRLKSPVGAEPAVYPWPLPVYDKHHDAAHEIIETIRWVCEEIPDLKLAMENYVLIDYDTKSFESMQRLCDKYNRAIDSIHQLWKGTNTRPSTGLLRHILQQVYNHSVTDPEKLNNYEPFSPEVYGETSFDLVAQMIDEIKMTDDDLFVDLGSGVGQVVLQVAAATNCKHHYGVEKADIPAKYAETMDREFRKWMKWYGKKHAEYTLERGDFLSEEWRERIANTSVIFVNNFAFGPEVDHQLKERFANMKEGGRIVSSKPFAPLNFRINSRNLSDIGTIMRVVELSPLKSWTGKPVSYYLHTIDRTILENYFSSLKNP +>6g2o +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEQKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYID +>5zxk +GAYNEWKKALFKPADVILDPKTANPILLVSEDQRSVQRAKEPQDLPDNPERFNWHYCVLGCESFISGRHYWEVEVGDRKEWHIGVCSKNVQRKGWVKMTPENGFWTMGLTDGNKYRTLTEPRTNLKLPKPPKKVGVFLDYETGDISFYNAVDGSHIHTFLDVSFSEALYPVFRILTLEPTALTICP +>6qxd +KYRVRKNVLHLTDTEKRDFVRTVLILKEKGIYDRYIAWHGAAGKFHTPPGSDRNAAHMSSAFLPWHREYLLRFERDLQSINPEVTLPYWEWETDAQMQDPSQSQIWSADFMGGNGNPIKDFIVDTGPFAAGRWTTIDEQGNPSGGLKRNFGATKEAPTLPTRDDVLNALKITQYDTPPWDMTSQNSFRNQLEGFINGPQLHNRVHRWVGGQMGVVPTAPNDPVFFLHHANVDRIWAVWQIIHRNQNYQPMKNGPFGQNFRDPMYPWNTTPEDVMNHRKLGYVYDIEL +>6oy1 +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6n96 +AYQYVNVVTINKVAVIEFNYGRKLNALSKVFIDDLMQALSDLNRPEIRCIILRAPSGSKVFSAGHDIHELPSGGRDPLSYDDPLRQITRMIQKFPKPIISMVEGSVWGGAFEMIMSSDLIIAASTSTFSMTPVNLGVPYNLVGIHNLTRDAGFHIVKELIFTASPITAQRALAVGILNHVVEVEELEDFTLQMAHHISEKAPLAIAVIKEELRVLGEAHTMNSDEFERIQGMRRAVYDSEDYQEGMNAFLEKRKPNFVGH +>5zk7 +ANPEHYIKHPLQNRWALWFFKWQANLRLISKFDTVEDFWALYNHIQLSSNLMPGCDYSLFKDGIEPMWEDEKNKRGGRWLITLNKQQRRSDLDRFWLETLLCLIGESFDDYSDDVCGAVVNVRAKGDKIAIWTTECENREAVTHIGRVYKERLGLPPKIVIGYQSHADTATTKNRFVV +>6k3l +RSVARVYANVNEKLGRSWWDYDNLVVQWGVQDNYEIVRKVGRGKYSEVFESIHLPTDSKCIVKVLKPVKKKKIKREIKILQNLAGGPNVVGLLDVVRDSQSKTPSIVTEYVNNTEFKTLYPKFSDFDVRYYIFELLKALDFCHSKGIMHRDVKPHNVMIDHEKRTLRLIDWGLAEFYHPGTEYNVRVASRYFKGPELLVDFQEYDYSLDMWSLGCMFASMIFRKEPFFHGHDNADQLVKIAKVLGTDELYTYLERYDIDLDAQFDDILGRYPRKPWSRFVSSENQRYISSEAIDFLDKLLRYDHQERLTAEEAKEHPYFEPVRQAAAQA +>6cjs +NLYFQGETHEFTAEISQLMSLIINTVYSNKEIFLRELISNASDALDKIRYQALSDPSQLESEPELFIRIIPQKDQKVLEIRDSGIGMTKADLVNNLGTIAKSGTKSFMEALSAGADVSMIGQFGVGFYSLFLVADHVQVISKHNDDEQYVWESNAGGKFTVTLDETNERLGRGTMLRLFLKEDQLEYLEEKRIKEVVKKHSEFVAYPIQLVVTKEVEK +>6gge +SVPSQKTYQGSYGFRLGFLHSGTAKSVTCTYSPALNKLFCQLAKTCPVQLWVDSTPPPGTRVRAMAIYKQSQHMTEVVRRCPHHERCSDSDGLAPPQHLIRVEGNLRAEYLDDRNTFRHSVVVPCEPPEVGSDCTTIHYNYMCYSSCMGGMNRRPILTIITLEDSSGNLLGRDSFEVRVCACPGRDRRTEEENLRKK +>6hot +GPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKD +>6e3p +AMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSER +>6npp +SNPKFENIAEGLRALLARSHVERTTDEGTWVAGVFVYGGSKTSLYNLRRGTALAIPQCRLTPLSRLPFGMAPGPGPQPGPLRESIVCYFMVFLQTHIFAEVLKDAIKDLVMTKPAPTCNIRVTVCSFDDGVDLP +>6g2f +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEQKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYID +>6mo7 +RVTNQLQYLHKVVMKALWKHQFAWPFRQPVDAVKLGLPDYHKIIKQPMDMGTIKRRLENNYYWAASECMQDFNTMFTNCYIYNKPTDDIVLMAQTLEKIFLQKVASMPQEEQEL +>6bqd +DDDQVAFSFILDNIVTQKMMAVPDSWPFHHPVNKKFVPDYYKVIVNPMDLETIRKNISKHKYQSRESFLDDVNLILANSVKYNGPESQYTKTAQEIVNVCYQTLTEYDEHLTQLEKDICTAKEAALEEA +>6nsv +SPSAQELKEQGNRLFVGRKYPEAAACYGRAITRNPLVAVYYTNRALCYLKMQQHEQALADCRRALELDGQSVKAHFFLGQCQLEMESYDEAIANLQRAYSLAKEQRLNFGDDIPSALRIAKKKRWNSI +>6i76 +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6n53 +EPFLIGVSGGTASGKSSVCAKIVQLLGQNQKQVVILSQDSFYRVLTSEQKAKALKGQFNFDHPDAFDNELILKTLKEITEGKTVQIPVYDFVSHSRKEETVTVYPADVVLFEGILAFYSQEVRDLFQMKLFVDTDADTRLSRRVLRDISERGRDLEQILSQYITFVKPAFEEFCLPTKKYADVIIPRGADNLVAINLIVQHIQDILN +>6g2c +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEQKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYIDK +>6eeb +TEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMT +>6n0m +GLEALMSSGRVDNLAVVMGLHPDYFTSFWRLHYLLLHTDGPLASSWRHYIAIMAAARHQCSYLVGSHMAEFLQTGGDPEWLLGLHRAPEKLRKLSEINKLLAHRPWLITKEHIQALLKTGEHTWSLAELIQALVLLTHCHSLSSFVFGCGILPEGDPPSEQSSPRDVEALMERMQQLQESEEMESRFELEKSESLPDMLCFVEDPTFGYEDFTRRGAQAPPTFRAQDYTWEDHGYSLIQRLYPEGGQLLDEKFQAAYSLTYNTIAMHSGVDTSVLRRAIWNYIHCVFGIRYDDYDYGEVNQLLERNLKVYIKTVACYPEKTTRRMYNLFWRHFRHSEKVHVNLLLLEARMQAALLYALRAITRYMT +>6olx +EVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNASDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVEK +>6v5l +MTEYKLVVVGAGGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKEK +>6efk +SPSAQELKEQGNRLFVGRKYPEAAACYGRAITRNPLVAVYYTNRALCYLKMQQHEQALADCRRALELDGQSVKAHFFLGQCQLEMESYDEAIANLQRAYSLAKEQRLNFGDDIPSALRIAKKKRWNSIEERR +>6oxt +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6oy0 +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6cyg +EVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVEKE +>6g27 +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYID +>6ggb +SSVPSQKTYQGSYGFRLGFLHSGTAKSVTCTYSPALNKLFCQLAKTCPVQLWVDSTPPPGTRVRAMAIYKQSQHMTEVVRRCPHHERCSDSDGLAPPQHLIRVEGNLRAEYLDDRNTFRHSVVVPCEPPEVGSDCTTIHYNYMCYSSCMGGMNRRPILTIITLEDSSGNLLGRDSFEVRVCACPGRDRRTEEENLRKK +>6g3c +FHKIRNEDLIFNESLGQGTFTKIFKGVRREVGDYGQLHETEVLLKVLDKAHRNYSESFFEAASMMSKLSHKHLVLNYGVCFCGDENILVQEFVKFGSLDTYLKKNKNCINILWKLEVAKQLAAAMHFLEENTLIHGNVCAKNILLIREEDRKTGNPPFIKLSDPGISITVLPKDILQERIPWVPPECIENPKNLNLATDKWSFGTTLWEICSGGDKPLSALDSQRKLQFYEDRHQLPAPKAAELANLINNCMDYEPDHRPSFRAIIRDLNSL +>6fcj +EVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVE +>6quv +MTEYKLVVVGADGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHK +>6i74 +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6rnu +SQSNRELVVDFLSYKLSQKGYSWSQFSESEAVKQALREAGDEFELRYRRAFSDLTSQLHITPGTAYQSFEQVVNELFRDGVNWGRIVAFFSFGGALCVESVDKEMQVLVSRIAAWMATYLNDHLEPWIQENGGWDTFVELYG +>6jib +EAVVISGRKLAQQIKQEVRQEVEEWVASGNKRPHLSVILVGENPASHSYVLNKTRAAAVVGINSETIMKPASISEEELLNLINKLNNDDNVDGLLVQLPLPEHIDERRICNAVSPDKDVDGFHVINVGRMCLDQYSMLPATPWGVWEIIKRTGIPTLGKNVVVAGRSKNVGMPIAMLLHTDGAHERPGGDATVTISHRYTPKEQLKKHTILADIVISAAGIPNLITADMIKEGAAVIDVGINRVHKPKLVGDVDFEGVRQKAGYITPVPGGVGPMTVAMLMKNTIIAAKKVLR +>6izq +SAVQYFQFYGYLSQQQNMMQDYVRTGTYQRAILQNHTDFKDKIVLDVGCGSGILSFFAAQAGARKIYAVEASTMAQHAEVLVKSNNLTDRIVVIPGKVEEVSLPEQVDIIISEPMGYMLFNERMLESYLHAKKYLKPSGNMFPTIGDVHLAPFTDEQLYMEQFTKANFWYQPSFHGVDLSALRGAAVDEYFRQPVVDTFDIRILMAKSVKYTVNFLEAKEGDLHRIEIPFKFHMLHSGLVHGLAFWFDVAFIGSIMTVWLSTAPTEPLTHWYQVRCLFQSPLFAKAGDTLSGTCLLIANKRQSYDISIVAQVDQTGSKSSNLLDLKNPFFRY +>6qw8 +ADVQQKLAELERQSGGRLGVALINTADNSQILYRADERFAMCSTSKVMAAAAVLKKSESEPNLLNQRVEIKKSDLVNYNPIAEKHVNGTMSLAELSAAALQYSDNVAMNKLIAHVGGPASVTAFARQLGDETFRLDRTEPTLNTAIPGDPRDTTSPRAMAQTLRNLTLGKALGDSQRAQLVTWMKGNTTGAASIQAGLPASWVVGDKTGSGGYGTTNDIAVIWPKDRAPLILVTYFTQPQPKAESRRDVLASAAKIVTDGL +>6e5s +TRDQNGTWEMESNENFEGYMKALDIDFATRKIAVRLTQTKVIDQDGDNFKDKTTSTFRNYDVDFTVGVEFDEYTKSLDNRHVKALVTWEGDVLVCVQKGEKENRGWKKWIEGDKLYLELTCGDQVCRQVFKKK +>6e6w +MAMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSE +>6cyh +EVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVEKE +>6gga +SVPSQKTYQGSYGFRLGFLHSGTAKSVTCTYSPALNKLFCQLAKTCPVQLWVDSTPPPGTRVRAMAIYKQSQHMTEVVRRCPHHERCSDSDGLAPPQHLIRVEGNLRAEYLDDRNTFRHSVVVPCEPPEVGSDCTTIHYNYMCYSSCMGGMNRRPILTIITLEDSSGNLLGRDSFEVRVCACPGRDRRTEEENLRK +>6pgp +MTEYKLVVVGACGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETSLLDILDTAGQEEYSAMRDQYMRTGEGFLLVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKEK +>6qtq +TRYSRLRVIAEIRHNIVSSIEFDRDDELFATAGVSRIKVFDFSSVVNEPQCPIVEMSTRSKLSLSWNKHEKNHIASSDYEGIVTVWDVTTRQSLMEYEEHEKRAWSVDFSRTEPSMLVSGSDDCKVKVWTRQEASVINIDMKANICVKYNPGSSNYIAVGSADHHIHYYDLRNISQPLHVFSGHKKAVSYVKFLSNNELASASTDSTLRLWDVKDNLPVRTFRGHTNEKNFVGLTVNSEYLACGSETNEVYVYHKEITRPVTSHRFGGSYFISAVCWKSDSPTMLTANSQGTIKVLVLAA +>6gj6 +MTEYKLVVVGADGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHK +>6os5 +TTVRDACARTLENTARTLHLGASGTEFVAAFRAMTDHWGAARPHDLPLSDVSPDGSPVEYAVDLGGLAPALQFAMEPLTAGVPARDPLAARAIMPLLAGRYGADATRWSALADRLLPDDAHGPHVSMYGAEVRAGAPIRFKAWFYLNVTGPDGAFNLLYSALERMGTTHLWPVVQAHVHRAGEDVPFLLSLDLSDDPAARVKVYFRHFAADVEEVAAVLKAYPGFEPGEVRAFCKVMMGGRRRFSDQPAVTCVSLLDAQTFDRTAATLYVPLWTYAEHDGEVRQRVHRTLAAWPEALYRYDSVLAGIAHRGLDAGTGIHNYISWQPGRTRPRMKVYLSPEMHDVTPPPLGVSQ +>6i77 +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6oxx +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6hor +GPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKD +>6i68 +SGKVVKFSYMWTINNFSFCREEMGEVIKSSTFSSGANDKLKWCLRVNPKGLDEESKDYLSLYLLLVSCPKSEVRAKFKFSILNAKGEETKAVESQRAYRFVQGKDWGFKKFIRRDFLLDEANGLLPDDKLTLFCEVSVVQD +>6mhb +ARSLGKGSAPPGPVPEGSIRIYSMRFCPFAERTRLVLKAKGIRHEVININLKNKPEWFFKKNPFGLVPVLENSQGQLIYESAITCEYLDEAYPGKKLLPDDPYEKACQKMILELFSKVPSLVGSFIRKEDYAGLKEEFRKEFTKLEEVLTNKKTTFFGGNSISMIDYLIWPWFERLEAMKLNECVDHTPKLKLWMAAMKEDPTVSALLTSEKDWQGFLELYLQNSPEACDYGL +>6i78 +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6oxy +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6mo0 +MADLELERAADVRWEEQAEISGSSLEDGAYRIKQKGILGYSQIGAGVYKEGTFHTMWHVTRGAVLMHKGKRIEPSWADVKKDLISYGGGWKLEGEWKEGEEVQVLALEPGKNPRAVQTKPGLFKTNTGTIGAVSLDFSPGTSGSPIVDKKGKVVGLYGIANTEK +>6ggf +SVPSQKTYQGSYGFRLGFLHSGTAKSVTCTYSPALNKLFCQLAKTCPVQLWVDSTPPPGTRVRAMAIYKQSQHMTEVVRRCPHHERCSDSDGLAPPQHLIRVEGNLRAEYLDDRNTFRHSVVVPCEPPEVGSDCTTIHYNYMCYSSCMGGMNRRPILTIITLEDSSGNLLGRDSFEVRVCACPGRDRRTEEENLRK +>6qge +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6cjr +GETHEFTAEISQLMSLIINTVYSNKEIFLRELISNASDALDKIRYQALSDPSQLESEPELFIRIIPQKDQKVLEIRDSGIGMTKADLVNNLGTIAKSGTKSFMEALSAGADVSMIGQFGVGFYSLFLVADHVQVISKHNDDEQYVWESNAGGKFTVTLDETNERLGRGTMLRLFLKEDQLEYLEEKRIKEVVKKHSEFVAYPIQLVVTKEVEK +>6oxp +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6d07 +GEYVVEKVLDRRVVKGKVEYLLKWKGFSDEDNTWEPEENLDCPDLIAEFLQSQK +>6i63 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEAKV +>6ten +LELRLKSPVGAEPAVYPWPLPVYDKHHDAAHEIIETIRWVCEEIPDLKLAMENYVLIDYDTKSFESMQRLCDKYNRAIDSIHQLWKGNTRPSTGLLRHILQQVYNHSVTDPEKLNNYEPFSPEVYGETSFDLVAQMIDEIKMTDDDLFVDLGSGVGQVVLQVAAATNCKHHYGVEKADIPAKYAETMDREFRKWMKWYGKKHAEYTLERGDFLSEEWRERIANTSVIFVNNFAFGPEVDHQLKERFANMKEGGRIVSSKPFAPLNFRINSRNLSDIGTIMRVVELSPLKSWTGKPVSYYLHTIDRTILENYFSSLKNP +>6qlr +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6sen +RSVASSKLWMLEFSAFLEQQQDPDTYNKHLFVHIGQSYLEAVDIRQIYDKFPEKKGGLKDLFERGPSNAFFLVKFWADLNTNSSFYGVSSQYESPENMIITCSTKVCSFGKQVVEVETEYARYENGHYSYRIHRSPLCEYMINFIHKLKHLPEKYMMNSVLENFTILQVVTNRDTQETLLCIAYVFEVSASEHGAQHHIYRLVK +>6oxv +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6g2b +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEAQKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYIDKQ +>5zr3 +MEEEEVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVE +>6e6v +MAMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIKSEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSERGE +>5zk9 +PEHYIKHPLQNRWALWFFKNDKSKTWQANLRLISKFDTVEDFWALYNHIQLSSNLMPGCDYSLFKDGIEPMWEDEKNKRGGRWLITLNKQQRRSDLDRFWLETLLCLIGESFDDYSDDVCGAVVNVRAKGDKIAIWTTECENREAVTHIGRVYKERLGLPPKIVIGYQSHADTATKTKNRFVV +>6pnn +ESARSLGKGSAPPGPVPEGSIRIYSMRFCPFAERTRLVLKAKGIRHEVININLKNKPEWFFKKNPFGLVPVLENSQGQLIYESAITCEYLDEAYPGKKLLPDDPYEKACQKMILELFSKVPSLVGSFIRSQNKEDYAGLKEEFRKEFTKLEEVLTNKKTTFFGGNSISMIDYLIWPWFERLEAMKLNECVDHTPKLKLWMAAMKEDPTVSALLTSEKDWQGFLELYLQNSPEACDYGL +>6nri +KSKLPKPVQDLIKMIFGGDPIDVNYEKLKTDIKVVDRDSEEAEIIRKYVKNTHATTHNAYDLEVIDIFKIEREGECQRYKPFKQLHNRRLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQGDPIGLILLGEVALGNMYELKHASHISKLPKGKHSVKGLGKTTPDPSANISLDGVDVPLGTGISSGVNDTSLLYNEYIVYDIAQVNLKYLLKLKFNFK +>6npi +SNPKFENIAEGLRALLARSHVERTTDEGTWVAGVFVYGGSKTSLYNLRRGTALAIPQCRLTPLSRLPFGMAPGPGPQPGPLRESIVCYFMVFLQTHIFAEVLKDAIKDLVMTKPAPTCNIRVTVCSFDDGVDLP +>6oip +KYVDKIHIGNYEIDAWYFSPFPEDYGKQPKLWLCEYCLKYMKYEKSYRFHLGQCQWRQPPGKEIYRKSNISVHEVDGKDHKIYCQNLCLLAKLFLDHTLYFDVEPFVFYILTEVDRQGAHIVGYFSKEKESPDGNNVSCIMILPPYQRRGYGRFLIAFSYELSKLESTVGSPEKPLSDLGKLSYRSYWSWVLLENLRDFRGTLSIKDLSQMTSITQNDIISTLQSLNMVKYWKGQHVICVTPKLVEEHLKSAQYKKPPITVDSVCLKWAPP +>6s57 +SMQEEDTFRELRIFLRNVTHRLAIDKRFRVFTKPVDPDEVPDYVTVIKQPMDLSSVISKIDLHKYLTVKDYLRDIDLICSNALEYNPDRDPGDRLIRHRACALRDTAYAIIKEELDEDFEQLCEEIQESR +>6p8x +TEYKLVVVGACGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETSLLDILDTAGQEEYSAMRDQYMRTGEGFLLVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHK +>6hoq +GPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKD +>6qts +TRYSRLRVIAEIRHNIVSSIEFDRDDELFATAGVSRIKVFDFSSVVNEPQPIVEMSTRSKLSLSWNKHEKNHIASSDYEGIVTVWDVTTRQSLMEYEEHEKRAWSVDFSRTEPSMLVSGSDDKVKVWTRQEASVINIDMKANICVKYNPGSSNYIAVGSADHHIHYYDLRNISQPLHVFSGHKKAVSYVKFLSNNELASASTDSTLRLWDVKDNLPVRTFRGHTNEKNFVGLTVNSEYLACGSETNEVYVYHKEITRPVTSHRFGGSYFISAVCWKSDSPTMLTANSQGTIKVLVLAA +>6ggd +SVPSQKTYQGSYGFRLGFLHSGTAKSVTCTYSPALNKLFCQLAKTCPVQLWVDSTPPPGTRVRAMAIYKQSQHMTEVVRRCPHHERCSDSDGLAPPQHLIRVEGNLRAEYLDDRNTFRHSVVVPCEPPEVGSDCTTIHYNYMCYSSCMGGMNRRPILTIITLEDSSGNLLGRDSFEVRVCACPGRDRRTEEENLRK +>6pnm +GESARSLGKGSAPPGPVPEGSIRIYSMRFCPFAERTRLVLKAKGIRHEVININLKNKPEWFFKKNPFGLVPVLENSQGQLIYESAITCEYLDEAYPGKKLLPDDPYEKACQKMILELFSKVPSLVGSFIRSQNKEDYAGLKEEFRKEFTKLEEVLTNKKTTFFGGNSISMIDYLIWPWFERLEAMKLNECVDHTPKLKLWMAAMKEDPTVSALLTSEKDWQGFLELYLQNSPEACDYGL +>6oy2 +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6mhd +SNAMSGESARSLGKGSAPPGPVPEGSIRIYSMRFCPFAERTRLVLKAKGIRHEVININLKNKPEWFFKKNPFGLVPVLENSQGQLIYESAITCEYLDEAYPGKKLLPDDPYEKACQKMILELFSKVPSLVGSFIRSQNKEDYAGLKEEFRKEFTKLEEVLTNKKTTFFGGNSISMIDYLIWPWFERLEAMKLNECVDHTPKLKLWMAAMKEDPTVSALLTSEKDWQGFLELYLQNSPEACDYGL +>6hhr +VETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVEK +>6p8z +GMTEYKLVVVGACGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETSLLDILDTAGQAMRDQYMRTGEGFLLVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKE +>6c85 +SKKRCGVLGATGAVGTRFILLLEQSPLLELVAVGASERSAGKKYRDAVRWKQASPMPASVADLTVRRCAPSEFSDCDIIFSGLDPAGDIEMAFLKANFAVFSNAKNYRLDPIVPLVVPLVNAGHIDVIPAQRKHYGLDKGLIVCNSNCAVVGLVIPAKALIQKFGPIESVSMVTMQAVSGAGGVSSMDIFDNIVPFIPGEEGKIATESRKILGNLNPDLAGFSDQQPLQVSVACNRVPVLDGHTVCASLRFVNRPAPTASQVRDALREYKSEVQLLGCPSAPRQAIHVLDDVDRPQPRLDRDTEAGYACSVGRIREDDSGVFDIQFVALSHNTVLGASGSSILNAESAILKGYI +>6g5u +SWGYREHNGPIHWKEFFPIADGDQQSPIEIKTKEVKYDSSLRPLSIKYDPSSAKIISNSGHSFNVDFDDTENKSVLRGGPLTGSYRLRQVHLHWGSADDHGSEHIVDGVSYAAELHVVHWNSDKYPSFVEAAHEPDGLAVLGVFLQIGEPNSQLQKITDTLDSIKEKGKQTRFTNFDLLSLLPPSWDYWTYPGSLTVPPLLESVTWIVLKQPINISSQQLAKFRSLLCTAEGEAAAFLVSNHRPPQPLKGRKVRASFH +>6j06 +GAYNEWKKALFKPADVILDPKTANPILLVSEDQRSVQRAKEPQDLPDNPERFNWHYCVLGCESFISGRHYWEVEVGDRKEWHIGVCSKNVQRKGWVKMTPENGFWTMGLTDGNKYRTLTEPRTNLKLPKPPKKVGVFLDYETGDISFYNAVDGSHIHTFLDVSFSEALYPVFRILTLEPTALTICPA +>6qsz +SKSSWRQEWLANLKLISVSLVDEFPSELSDSDRQIINEKQLLKDIFANNLKSAISNNFRESDIIILKGEIEDYPSSEIKIYYNELQNKPKARFWSFKTQRFVSNGFDI +>6np5 +TPWSKSELVRQLRDLGVRSGDMVMPHVSLRAVGPLADGPQTLVDALIEAVGPTGNILAFVSWRDSPYEQTLGHDAPPAAIAQSWPAFDPDHAPAYPGFGAINEFIRTYPGCRRSAHPDASMAAIGPDAAWLVAPHEMGAAYGPRSPIARFLAHAGKILSIGAGPDAVTALHYAEAVARIEGKRRVTYSMPLLREGKRVWVTTSDWDSNGILDEYAAPDGPDAVERIARDYLARTRVAQGPVGGAQSRLIDAADIVSFGIEWLEARHAA +>6qlp +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6qls +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6st3 +PALKLALEYIVPCMNKHGICVVDDFLGKETGQQIGDEVRALHDTGKFTDGQLVSQIRGDKITWIEGKEPGCETIGLLMSSMDDLIRHCNGKLGSYKINGRTKAMVACYPGNGTGYVRHVDNPNGDGRCVTCIYYLNKDWDAKVSGGILRIFPEGKAQFADIEPKFDRLLFFWSDRRNPHEVQPAYATRYAITVWYFDADERARAKVKYLT +>6s56 +SMQEEDTFRELRIFLRNVTHRLAIDKRFRVFTKPVDPDEVPDYVTVIKQPMDLSSVISKIDLHKYLTVKDYLRDIDLICSNALEYNPDRDPGDRLIRHRACALRDTAYAIIKEELDEDFEQLCEEIQESR +>6k05 +TNQLQYLHKVVMKALWKHQFAWPFRQPVDAVKLGLPDYHKIIKQPMDMGTIKRRLENNYYWAASECMQDFNTMFTNCYIYNKPTDDIVLMAQTLEKIFLQKVASMPQE +>6e3m +MAMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGLKHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSER +>6qtx +TRYSRLRVIAEIRNIVSSIEFDRDDELFATAGVSRCIKVFDFSSVVNEQCPIVEMSTRSKLSCLSWNKHEKNHIASSDYEGIVTVWDVTTRQSLMEYEEHEKRAWSVDFSRTEPSMLVSGSDDCKVKVWTRQEASVINIDMKANICVKYNPGSSNYIAVGSADHHIHYYDLRNISQPLHVFSGHKKAVSYVKFLSNNELASASTDSTLRLWDVKDNLPVRTFRGHTNEKNFVGLTVNSEYLACGSETNEVYVYHKEITRPVTSHRFEEEAGSYFISAVCWKSDSPTMLTANSQGTIKVLVLAA +>5zjy +HYIKHPLQNRWALWFFKNDKSKTWQANLRLISKFDTVEDFWALYNHIQLSSNLMPGCDYSLFKDGIEPMWEDEKNKRGGRWLITLNKQQRRSDLDRFWLETLLCLIGESFDDYSDDVCGAVVNVRAKGDKIAIWTTECENREAVTHIGRVYKERLGLPPKIVIGYQSHADTATTKNRFVV +>6o3y +MDFQNFVATLESFKDLKSGISGSRIKKLTTYALDHIDIESKIISLIIDYSRLCPDSHKLGSLYIIDSIGRAYLDETRSNSNSSSNKPGTCAHAINTLGEVIQELLSDAIAKSNQDHKEKIRMLLDIWDRSGLFQKSYLNAIRSKCFA +>6rpg +AFTVTVPKDLYVVEYGSNMTIECKFPVEKQLDLAALIVYWEMEDKNIIQFVHGEEDLKVQHSSYRQRARLLKDQLSLGNAALQITDVKLQDAGVYRCMISYGGADYKRITVKVNAPY +>6rr0 +LSKSSWRQEWLANLKLISVSLVDEFPSELSDSDRQIINEKMQLLKDIFANNLKSAISNNFRESDIIILKGEIEDYPMSSEIKIYYNELQNKPDAKKARFWSFMKTQRFVSNMGFDI +>6gzy +QGLAMYLQENGIDCPKCKFSYALARGGCMHFHCTQCRHQFCSGCYNAFYAKNKCPEPNCRVKKSLHGHHPRDCLFYLRDWTALRLQKLLQDNNVMFNTEPPGCRVIEQRDEACGKETPAGYAGLCQAHYKEYLVSLINAHSLDPATLYEVEELETATERYLHVRPQPLAGEDPPAYQARLLQKLTEEVPLGQSIPRRRK +>6qlt +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6o3x +HMDFQNFVATLESFKDLKSGISGSRIKKLTTYALDHIDIESKIISLIIDYSRLCPDSHKLGSLYIIDSIGRAYLDETRSNSNSSSNKPGTCAHAINTLGEVIQELLSDAIAKSNQDHKEKIRMLLDIWDRSGLFQKSYLNAIRSKCFA +>5zjz +EHYIKHPLQNRWALWFFKNDKSKTWQANLRLISKFDTVEDFWALYNHIQLSSNLMPGCDYSLFKDGIEPMWEDEKNKRGGRWLITLNKQQRRSDLDRFWLETLLCLIGESFDDYSDDVCGAVVNVRAKGDKIAIWTTECENREAVTHIGRVYKERLGLPPKIVIGYQSHADTATKTKNRFVV +>6i8t +KSKLAKPIQDLIKMIFDVESMKKAMVEFEIDLQKMPLGKLSKRQIQSAYSILNEVQQAVSDGGSESQILDLSNRFYTLIPHDFGMKKPPLLSNLEYIQAKVQMLDNLLDIEVAYSLLRGGNEDGDKDPIDINYEKLRTDIKVVDKDSEEAKIIKQYVKNTHAATHNAYDLKVVEIFRIEREGESQRYKPFKQLHNRQLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQADPIGLILLGEVALGNMYELKNASHITKLPKGKHSVKGLGKTAPDPTATTTLDGVEVPLGNGISTGINDTCLLYNEYIVYDVAQVNLKYLLKLKFNY +>6oiq +KYVDKIHIGNYEIDAWYFSPFPEDYGKQPKLWLCEYCLKYMKYEKSYRFHLGQCQWRQPPGKEIYRKSNISVHEVDGKDHKIYCQNLCLLAKLFLDHTLYFDVEPFVFYILTEVDRQGAHIVGYFSKEKESPDGNNVSCIMILPPYQRRGYGRFLIAFSYELSKLESTVGSPEKPLSDLGKLSYRSYWSWVLLENLRDFRGTLSIKDLSQMTSITQNDIISTLQSLNMVKYWKGQHVICVTPKLVEEHLKSAQYKKPPITVDSVCLKWAPP +>6nrh +KSKLPKPVQDLIKMIFGDPIDVNYEKLKTDIKVVDRDSEEAEIIRKYVKNTHATTHNAYDLEVIDIFKIEREGECQRYKPFKQLHNRRLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQGDPIGLILLGEVALGNMYELKHASHISKLPKGKHSVKGLGKTTPDPSANISLDGVDVPLGTGISSGVNDTSLLYNEYIVYDIAQVNLKYLLKLKFNFK +>6m7h +LTEEQIAEFKEAFSLFDKDGDGTITTKELGTVRSLGQNPTEAELQDINEVDADGNGTIDFPEFLTARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVTNLGEKLTDEEVDEIREADIDGDGQVNYEEFVQTA +>6o5u +TPWSKSELVRQLRDLGVRSGDMVMPHVSLRAVGPLADGPQTLVDALIEAVGPTGNILAFVSWRDSPYEQTLGHDAPPAAIAQSWPAFDPDHAPAYPGFGAINEFIRTYPGCRRSAHPDASMAAIGPDAAWLVAPHEMGAAYGPRSPIARFLAHAGKILSIGAGPDAVTALHYAEAVARIEGKRRVTYSMPLLREGKRVWVTTSDWDSNGILDEYAAPDGPDAVERIARDYLARTRVAQGPVGGAQSRLIDAADIVSFGIEWLEARHAA +>6jwa +SGPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVV +>6ny0 +DATFGMGDRVRKKSGAAWQGQIVGWYCTNLTPEGYAVESEAHPGSVQIYPVAALERIN +>6ftf +GIDPEKAKLYQAPYFEKSEDEMNLITKLLTHNVLFSFLNTKDIKVVAGAMQRATFKHDDCIMEAGQTTCNKLYIIQSGHADIIKEGQKVYLKTEGTAVGELELMYDTPVVATVKVCTDELIAWVLDRDTYRNLVMGTAIRRRETYIQFLANVPFLGGLDSYEKLQLADALSSEEFSPGEYIIHYGEEGEWLYIIMEGTVEVIGRDADGEPTKVCEFTQGDHIGELEFLNNHRTVADVVATTHVITAKLNRRHFEMCLGPVIDVLKRCADDPKYEYYQNVLKTGAAQPSYVD +>6oxw +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6jon +HMIMEIPAIKALSRYAQWVIWKKERDTKIPYNPNNGKKASSTDPLAWGDIDEAQAGLVRYGANGLGFVLTKSDPFVFIDLDHVLDENKRVKCEWARQLLKEIKSYTEISPSGDGLHVVVSGKLPDYIKHKTKFDDGSALEVYESGRYMTITGEVFDGRDDIKELDLSILGEFAEHKILDDEAIIDLMKRKGQWPDAPKDGDDWSSLDMSFANRLAFWCGKDIERMDRIFRQSPLMRQKWDRPTAGSTYGRITLKKACDFVDSVYDPALRNESDCPFEPYN +>6mo8 +RVTNQLQYLHKVVMKALWKHQFAWPFRQPVDAVKLGLPDYHKIIKQPMDMGTIKRRLENNYYWAASECMQDFNTMFTNCYIYNKPTDDIVLMAQTLEKIFLQKVASMPQEEQEL +>6qln +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6i66 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEA +>6d3z +FDCGKPQVEPKKCPGVVGGCVAHPHSWPWQVSLRTRFGMHFCGGTLISPEWVLTAAHCLEKSPRPSSYKVILGAHQEVNLEPHVQEIEVSRLFLEPTRKDIALLKLSSPAVITDKVIPACLPSPNYVVADRTECFITGWGETQGTFGAGLLKEAQLPVIENKVCNRYEFLNGRVQSTELCAGHLAGGTDSCQGDAGGPLVCFEKDKYILQGVTSWGLGCARPNKPGVYVRVSRFVTWIEGVMRNN +>6oxr +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6hou +GPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKD +>6py0 +RWVQFMKEAGQGSRDMWRAYSDMKKANWKNSDKYFHARGNYDAARRGPGGAWAAKVISDAREAVQKFTGHGDSRADQFANEWGRSGKDPNHFRPAGLPKRY +>6qlq +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6n4b +MVLNPSQQLAIAVLSLTLGTFTVLENLLVLCVILHSRSLRCRPSYHFIGSLAVADLLGSVIFVYSFIDFHVFHRKDSRNVFLFKLGGVTASFTASVGSLFLTAIDRYISIHRPLAYKRIVTRPKAVVAFCLMWTIAIVIAVLPLLGWNCCSDIFPHIDETYLMFWIGVTSVLLLFIVYAYMYILWKAHSHAVRMIQRGTARMDIRLAKTLVLILVVLIICWGPLLAIMVYDVFGKMNKLIKTVFAFCSMLCLLNSTVNPIIYALRSKDLRHAFRSM +>6i8m +KSKLAKPIQDLIKMIFDVESMKKAMVEFEIDLQKMPLGKLSKRQIQSAYSILNEVQQAVSDGGSESQILDLSNRFYTLIPHDFGMKKPPLLSNLEYIQAKVQMLDNLLDIEVAYSLLRGGNEDGDKDPIDINYEKLRTDIKVVDKDSEEAKIIKQYVKNTHAATHNAYDLKVVEIFRIEREGESQRYKPFKQLHNRQLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQADPIGLILLGEVALGNMYELKNASHITKLPKGKHSVKGLGKTAPDPTATTTLDGVEVPLGNGISTGINDTCLLYNEYIVYDVAQVNLKYLLKLKFNY +>6oxs +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6cjj +QGETHEFTAEISQLMSLIINTVYSNKEIFLRELISNASDALDKIRYQALSDPSQLESEPELFIRIIPQKDQKVLEIRDSGIGMTKADLVNNLGTIAKSGTKSFMEALSAGADVSMIGQFGVGFYSLFLVADHVQVISKHNDDEQYVWESNAGGKFTVTLDETNERLGRGTMLRLFLKEDQLEYLEEKRIKEVVKKHSEFVAYPIQLVVTKEVEK +>6ffg +MGKLSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD +>6a73 +ENQYYNSKALKEDDPKAALSSFQKVLELEGEKGEWGFKALKQMIKINFKLTNFPEMMNRYKQLLTYIRSAVTRNYSEKSINSILDYISTSKQMDLLQEFYETTLEALKDAKNDRLWFKTNTKLGKLYLERNIFEMLRIDEGLRLKIYKDTEGYYTIGIGHLLTKSPSLNAAKSELDKAIGRNTNGVITKDEAEKLFNQDVDAAVRGILRNAKLKPVYDSLDAVRRAALINMVFQMGETGVAGFTNSLRMLQQKRWDEAAVNLAKSRWYNQTPNRAKRVITTFRTGTWDAY +>6a1c +SGPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKDQARMG +>6oxu +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6qtw +RYSRLRVIAEIRNIVSSIEFDRDDELFATAGVSRCIKVFDFSSVVNEPQCPIVEMSTRSKLSCLSWNKHEKNHIASSDYEGIVTVWDVTTRQSLMEYEEHEKRAWSVDFSRTEPSMLVSGSDDCKVKVWTRQEASVINIDMKANICVKYNPGSSNYIAVGSADHHIHYYDLRNISQPLHVFSGHKKAVSYVKFLSNNELASASTDSTLRLWDVKDNLPVRTFRGHTNEKNFVGLTVNSEYLACGSETNEVYVYHKEITRPVTSHRFSYFISAVCWKSDSPTMLTANSQGTIKVLVLAA +>6np4 +TPWSKSELVRQLRDLGVRSGDMVMPHVSLRAVGPLADGPQTLVDALIEAVGPTGNILAFVSWRDSPYEQTLGHDAPPAAIAQSWPAFDPDHAPAYPGFGAINEFIRTYPGCRRSAHPDASMAAIGPDAAWLVAPHEMGAAYGPRSPIARFLAHAGKILSIGAGPDAVTALHYAEAVARIEGKRRVTYSMPLLREGKRVWVTTSDWDSNGILDEYAAPDGPDAVERIARDYLARTRVAQGPVGGAQSRLIDAADIVSFGIEWLEARHAA +>6hv2 +EYNVRTLKWSKMNLTYRIVNYTPDMTHSEVEKAFKKAFKVWSDVTPLNFTRLHDGIADIMISFGIKEHGDFYPFDGPSGLLAHAFPPGPNYGGDAHFDDDETWTSSSKGYNLFLVAAHEFGHSLGLDHSKDPGALMFPIYTYTGKSHFMLPDDDVQGIQSLYGPGD +>6n55 +GEPFLIGVSGGTASGKSSVCAKIVQLLGQNDYRQKQVVILSQDSFYRVLTSEQKAKALKGQFNFDHPDAFDNELILKTLKEITEGKTVQIPVYDFVSHSRKEETVTVYPADVVLFEGILAFYSQEVRDLFQMKLFVDTDADTRLSRRVLRDISERGRDLEQILSQYITFVKPAFEEFCLPTKKYADVIIPRGADNLVAINLIVQHIQDILNG +>6e3o +AMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGLKHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSE +>6sfc +SFKCVNSLKEDHNQPLFGVQFNWHSKEGDPLVFATVGSNRVTLYECHSQGEIRLLQSYVDADADENFYTCAWTYDSNTSHPLLAVAGSRGIIRIINPITMQCIKHYVGHGNAINELKFHPRDPNLLLSVSKDHALRLWNIQTDTLVAIFGGVEGHRDEVLSADYDLLGEKIMSCGMDHSLKLWRINSKRMMNAIKESYDRPFISQKIHFPDFSTRDIHRNYVDCVRWLGDLILSKSCENAIVCWKPGKMEDDIDKIKPSESNVTILGRFDYSQCDIWYMRFSMDFWQKMLALGNQVGKLYVWDLECTTLTHHKCGAAIRQTSFSRDSSILIAVCDDASIWRWDR +>6qi7 +VTQTMKGLDIQKVAGTWYSLAMAASDISLLDAQSAPYRVYVEELKPTGDLEILLQKWENGECAQKKIIAEKTKIPAVFKIDENKVLVLDTDYKKYLLFCMENSLACQCLVRTPEVDDEALEKFDKALKALPMHIRLSFNPTQLEEQCHI +>6k04 +SEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMP +>6n8x +EVETFAFQAEIAQLMSLIINTFYSNKEIFLRELISNSSDALDKIRYESLTDPSKLDSGKELHINLIPNKQDRTLTIVDTGIGMTKADLINNLGTIAKSGTKAFMEALQAGADISMIGQFGVGFYSAYLVAEKVTVITKHNDDEQYAWESSAGGSFTVRTDTGEPMGRGTKVILHLKEDQTEYLEERRIKEIVKKHSQFIGYPITLFVEKE +>6np3 +TPWSKSELVRQLRDLGVRSGDMVMPHVSLRAVGPLADGPQTLVDALIEAVGPTGNILAFVSWRDSPYEQTLGHDAPPAAIAQSWPAFDPDHAPAYPGFGAINEFIRTYPGCRRSAHPDASMAAIGPDAAWLVAPHEMGAAYGPRSPIARFLAHAGKILSIGAGPDAVTALHYAEAVARIEGKRRVTYSMPLLREGKRVWVTTSDWDSNGILDEYAAPDGPDAVERIARDYLARTRVAQGPVGGAQSRLIDAADIVSFGIEWLEARHAA +>6pgo +MTEYKLVVVGACGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETSLLDILDTAGRDQYMRTGEGFLLVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHK +>6i75 +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6i62 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEAK +>6g29 +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYIDKQ +>6mo9 +RVTNQLQYLHKVVMKALWKHQFAWPFRQPVDAVKLGLPDYHKIIKQPMDMGTIKRRLENNYYWAASECMQDFNTMFTNCYIYNKPTDDIVLMAQTLEKIFLQKVASMPQEEQEL +>5zml +EVANPEHYIKHPLQNRWALWFFKNDKSKTWQANLRLISKFDTVEDFWALYNHIQLSSNLMPGCDYSLFKDGIEPMWEDEKNKRGGRWLITLNKQQRRSDLDRFWLETLLCLIGESFDDYSDDVCGAVVNVRAKGDKIAIWTTECENREAVTHIGRVYKERLGLPPKIVIGYQSHADTATKSGSTTKNRFVV +>6i65 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEAK +>6e7m +TRDQNGTWEMESNENFEGYMKALDIDFCTRKIAVRLTQTKVIDQDGDNFKDKTTSTFRNYDVDFTVGVEFDEYTKSLDNRHVKALVTWEGDVLVCVQKGEKENRGWKKWIEGDKLYLELTCGDQVCRQVFKKK +>6i61 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEAK +>6qtm +LSKSSWRQEWLANLKLISVSLVDEFPSELSDSDRQIINEKQLLKDIFANNLKSAISNNFRESDIIILKGEIEDYPSSEIKIYYNELQNKKARFWSFKTQRFVSNGFDI +>6qlo +PLIVPYNLPLPGGVVPRMLITILGTVKPNANRIALDFQRGNDVAFHFNPRFNENNRRVIVCNTKLDNNWGREERQSVFPFESGKPFKIQVLVEPDHFKVAVNDAHLLQYNHRVKKLNEISKLGISGDIDLTSASYTMI +>6oie +MDPIPICSFCLGTKESNREKKPEELLSCADCGSSGHPSCLKFCPELTTNVKALRWQCIECKTCSACRVQGRNADNMLFCDSCDRGFHMECCDPPLSRMPKGMWICQVCRPK +>6nrf +KSKLPKPVQDLIKMIFGDPIDVNYEKLKTDIKVVDRDSEEAEIIRKYVKNTHATTHNAYDLEVIDIFKIEREGECQRYKPFKQLHNRRLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQGDPIGLILLGEVALGNMYELKHASHISKLPKGKHSVKGLGKTTPDPSANISLDGVDVPLGTGISSGVNDTSLLYNEYIVYDIAQVNLKYLLKLKFNFK +>6gj5 +MTEYKLVVVGADGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHK +>6d3y +SFDCGKPQVEPKKCPVVGGCVAHPHSWPWQVSLRTRFGMHFCGGTLISPEWVLTAAHCLEKSPRPSSYKVILGAHQEVNLEPHVQEIEVSRLFLEPTRKDIALLKLSSPAVITDKVIPACLPSPNYVVADRTECFITGWGETQGTFGAGLLKEAQLPVIENKVCNRYEFLNGRVQSTELCAGHLAGGTDSCQGDSGGPLVCFEKDKYILQGVTSWGLGCARPNKPGVYVRVSRFVTWIEGVMRNN +>6oir +KYVDKIHIGNYEIDAWYFSPFPEDYGKQPKLWLCEYCLKYMKYEKSYRFHLGQCQWRQPPGKEIYRKSNISVHEVDGKDHKIYCQNLCLLAKLFLDHTLYFDVEPFVFYILTEVDRQGAHIVGYFSKEKESPDGNNVSCIMILPPYQRRGYGRFLIAFSYELSKLESTVGSPEKPLSDLGKLSYRSYWSWVLLENLRDFRGTLSIKDLSQMTSITQNDIISTLQSLNMVKYWKGQHVICVTPKLVEEHLKSAQYKKPPITVDSVCLKWAPP +>6d40 +PSFDCGKPQVEPKKCPVVGGCVAHPHSWPWQVSLRTRFGMHFCGGTLISPEWVLTAAHCLEKSPRPSSYKVILGAHQEVNLEPHVQEIEVSRLFLEPTRKDIALLKLSSPAVITDKVIPACLPSPNYVVADRTECFITGWGETQGTFGAGLLKEAQLPVIENKVCNRYEFLNGRVQSTELCAGHLAGGTDSCQGDSGGPLVCFEKDKYILQGVTSWGLGCARPNKPGVYVRVSRFVTWIEGVMRNN +>6e6j +HMEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMP +>6i7a +KVVKFSYMWTINNFSFCREEMGEVIKSSTFSSNDKLKWCLRVNPKGLDEESKDYLSLYLLLVSCPKSEVRAKFKFSILNAKGEETKAMESQRAYRFVQGKDWGFKKFIRRNFLLDEANGLLPDDKLTLFCEVSVVQD +>6g25 +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEAQKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYID +>6oin +KYVDKIHIGNYEIDAWYFSPFPEDYGKQPKLWLCEYCLKYMKYEKSYRFHLGQCQWRQPPGKEIYRKSNISVHEVDGKDHKIYCQNLCLLAKLFLDHTLYFDVEPFVFYILTEVDRQGAHIVGYFSKEKESPDGNNVSCIMILPPYQRRGYGRFLIAFSYELSKLESTVGSPEKPLSDLGKLSYRSYWSWVLLENLRDFRGTLSIKDLSQMTSITQNDIISTLQSLNMVKYWKGQHVICVTPKLVEEHLKSAQYKKPPITVDSVCLKWAPP +>6oxz +PQITLWKRPLVTIKIGGQLKEALLDTGADDTVLEEMNLPGRWKPKMIGGIGGFIKVRQYDQILIEICGHKAIGTVLVGPTPVNIIGRNLLTQIGCTLNF +>6hop +GPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKD +>6nrj +KSKLPKPVQDLIKMIFGDPIDVNYEKLKTDIKVVDRDSEEAEIIRKYVKNTHATTHNAYDLEVIDIFKIEREGECQRYKPFKQLHNRRLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQGDPIGLILLGEVALGNMYELKHASHISKLPKGKHSVKGLGKTTPDPSANISLDGVDVPLGTGISSGVNDTSLLYNEYIVYDIAQVNLKYLLKLKFNFK +>6op9 +VLARIFKETELRKLKVLGSGVFGTVHKGVWIPEGESIKIPVCIKVIEDKSGRQSFQAVTDHMLAIGSLDHAHIVRLLGLCPGSSLQLVTQYLPLGSLLDHVRQHRGALGPQLLLNWGVQIAKGMYYLEEHGMVHRNLAARNVLLKSPSQVQVADFGVADLLPPDDKQAKTPIKWMALESIHFGKYTHQSDVWSYGVTVWELMTFGAEPYAGLRLAEVPDLLEKGERLAQPQICTIDVYMVMVKCWMIDENIRPTFKELANEFTRMARDPPRYLVIK +>6pno +GESARSLGKGSAPPGPVPEGSIRIYSMRFCPFAERTRLVLKAKGIRHEVININLKNKPEWFFKKNPFGLVPVLENSQGQLIYESAITCEYLDEAYPGKKLLPDDPYEKACQKMILELFSKVPSLVGSFIRSQNKEDYAGLKEEFRKEFTKLEEVLTNKKTTFFGGNSISMIDYLIWPWFERLEAMKLNECVDHTPKLKLWMAAMKEDPTVSALLTSEKDWQGFLELYLQNSPEACDYGL +>6a87 +APVPVTKLVCDGDTYKCTAYLDYGDGKWVAQWDTAVFHT +>6oim +GMTEYKLVVVGACGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETSLLDILDTAGQEEYSAMRDQYMRTGEGFLLVFAINNTKSFEDIHHYREQIKRVKDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKEK +>6cjp +LYFQGETHEFTAEISQLMSLIINTVYSNKEIFLRELISNASDALDKIRYQALSDPSQLESEPELFIRIIPQKDQKVLEIRDSGIGMTKADLVNNLGTIAKSGTKSFMEALSAGADVSMIGQFGVGFYSLFLVADHVQVISKHNDDEQYVWESNGKFTVTLDETNERLGRGTMLRLFLKEDQLEYLEEKRIKEVVKKHSEFVAYPIQLVVTKEVE +>6pyb +PAVHLSNGPGQEPIAVMTFDLTKITKTSSSFEVRTWDPEGVIFYGDTNPKDDWFMLGLRDGRPEIQLHNHWAQLTVGAGPRLDDGRWHQVEVKMEGDSVLLEVDGEEVLRLRQVSGPKRHPIMRIALGGLLFPASNLRLPLVPALDGCLRRDSWLDKQAKISASAPTSLRSC +>6mhc +SNAMSGESARSLGKGSAPPGPVPEGSIRIYSMRFCPFAERTRLVLKAKGIRHEVININLKNKPEWFFKKNPFGLVPVLENSQGQLIYESAITCEYLDEAYPGKKLLPDDPYEKACQKMILELFSKVPSLVGSFIRSQNKEDYAGLKEEFRKEFTKLEEVLTNKKTTFFGGNSISMIDYLIWPWFERLEAMKLNECVDHTPKLKLWMAAMKEDPTVSALLTSEKDWQGFLELYLQNSPEACDYGL +>6nrg +KSKLPKPVQDLIKMIFGDPIDVNYEKLKTDIKVVDRDSEEAEIIRKYVKNTHATTHNAYDLEVIDIFKIEREGECQRYKPFKQLHNRRLLWHGSRTTNFAGILSQGLRIAPPEAPVTGYMFGKGIYFADMVSKSANYCHTSQGDPIGLILLGEVALGNMYELKHASHISKLPKGKHSVKGLGKTTPDPSANISLDGVDVPLGTGISSGVNDTSLLYNEYIVYDIAQVNLKYLLKLKFNFK +>6fff +MGKLSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD +>6jut +FVQIKFDDLQFFENCGGGSFGSVYRAKWISQDKEVAVKKLLKIEKEAEILSVLSHRNIIQFYGVILEPPNYGIVTEYASLGSLYDYINSNRSEEMDMDHIMTWATDVAKGMHYLHMEAPVKVIHRDLKSRNVVIAADGVLKICDFGASRFHNHTTHMSLVGTFPWMAPEVIQSLPVSETCDTYSYGVVLWEMLTREVPFKGLEGLQVAWLVVEKNERLTIPSSCPRSFAELLHQCWEADAKKRPSFKQIISILESMSNDTSLPDKCNSFLHNKAEWRCEIEATLERLKKLERDLSFK +>6g2e +VKFQVGDLVWSKVGTYPWWPCMVSSDPQLEVHTKINTRGAREYHVQFFSNQPERAWVHEKRVREYKGHKQYEELLAEATKIRKPRPQRERAQWDIGIAHAEKALKMTREERIEQYTFIYID +>6os6 +TEELTTVRDACARTLENTARTLHLGASGTEFVAAFRAMTDHWGAARPHDLPLSDVSPDGSPVEYAVDLGGLAPALQFAMEPLTAGVPARDPLAARAIMPLLAGRYGADATRWSALADRLLPDDAHGPHVSMYGAEVRAGAPIRFKAWFYLNVTGPDGAFNLLYSALERMGTTHLWPVVQAHVHRAGEDVPFLLSLDLSDDPAARVKVYFRHFAADVEEVAAVLKAYPGFEPGEVRAFCKVMMGGRRRFSDQPAVTCVSLLDAQTFDRTAATLYVPLWTYAEHDGEVRQRVHRTLAAWPEALYRYDSVLAGIAHRGLDAGTGIHNYISWQPGRTRPRMKVYLSPEMHDVTPPPLGVSQQHHLS +>6dql +NVDEFLFISNNFKQYKEFIDMDTAKHYFECRNIEGLNHILDSYKDSKSTKEKNLFALVKVLLATLTEEDCLTERTYLSNYLINIETWSHYETVLFNNCMFIFESCFIEMVFSKVILNLDKYNTLRYYGNESIRMFVNMLILFIQRQEYDKASEILAKIEDYQLNDDCLYERCCVSFFDGIIGLINGKEGAEQKCVQILEIFQLLNCKTIHHMFQTYLEAIKHKLSLE +>6i67 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEAKV +>6quw +MTEYKLVVVGADGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHK +>6npm +SNPKFENIAEGLRALLARSHVERTTDEGTWVAGVFVYGGSKTSLYNLRRGTALAIPQCRLTPLSRLPFGMAPGPGPQPGPLRESIVCYFMVFLQTHIFAEVLKDAIKDLVMTKPAPTCNIRVTVCSFDDGVDLP +>6i64 +YNKIVSHLLVAEPEKIYAMPDPTVPDSDIKALTTLCDLADRELVVIIGWAKHIPGFSTLSLADQMSLLQSAWMEILILGVVYRSLSFEDELVYADDYIMDEDQSKLAGLLDLNNAILQLVKKYKSMKLEKEEFVTLKAIALANSDSMHIEDVEAVQKLQDVLHEALQDYEAGQHMEDPRRAGKMLMTLPLLRQTSTKAVQHFYNIKLEGKVPMHKLFLEMLEAK +>6e3n +AMEDFVRQCFNPMIVELAEKAMKEYGEDPKIETNKFAAICTHLEVCFMYSDFGLKHRFEIIEGRDRIMAWTVVNSICNTTGVEKPKFLPDLYDYKENRFIEIGVTRREVHIYYLEKANKIEKTHIHIFSFTGEEMATKADYTLDEESRARIKTRLFTIRQEMASRSLWDSFRQSE +>6nxz +ATFGMGDRVRKKSGAAWQGQIVGWYCTNLTPEGYAVESEAHPGSVQIYPVAALERI +>6gj7 +MTEYKLVVVGADGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKH +>6hbn +GPVPSRARVYTDVNTHRPREYWDYESHVVEWGNQDDYQLVRKLGRGKYSEVFEAINITNNEKVVVKILKPVKKKKIKREIKILENLRGGPNIITLADIVKDPVSRTPALVFEHVNNTDFKQLYQTLTDYDIRFYMYEILKALDYCHSMGIMHRDVKPHNVMIDHEHRKLRLIDWGLAEFYHPGQEYNVRVASRYFKGPELLVDYQMYDYSLDMWSLGCMLASMIFRKEPFFHGHDNYDQLVRIAKVLGTEDLYDYIDKYNIELDPRFNDILGRHSRKRWERFVHSENQHLVSPEALDFLDKLLRYDHQSRLTAREAMEHPYFYTVVKDQARMG +>6tel +LELRLKSPVGAEPAVYPWPLPVYHDAAHEIIETIRWVCEEIPDLKLAMENYVLIDYDTKSFESMQRLCDKYNRAIDSIHQLWKGNTRPSTGLLRHILQQVYNHSVTDPNNYEPFSPEVYGETSFDLVAQMIDEIKMTDDDLFVDLGSGVGQVVLQVAAATNCKHHYGVEKADIPAKYAETMDREFRKWMKWYGKKHAEYTLERGDFLSEEWRERIANTSVIFVNNFAFGPEVDHQLKERFANMKEGGRIVSSKPFAPLNFRINSRNLSDIGTIMRVVELSPLKSWTGKPVSYYLHTIDRTILENYFSSLKNP +>6p8y +MTEYKLVVVGACGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETSLLDILDTAGQEEYSAMRDQYMRTGEGFLLVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKSDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKH +>6t6a +VYNDGYDDDNYDYIVKNGEKWMDRYEIDSLIGKGSFGQVVKAYDRVEQEWVAIKIIKNKKAFLNQAQIEVRLLELMNKHDTEMKYYIVHLKRHFMFRNHLCLVFEMLSYNLYDLLRNTNFRGVSLNLTRKFAQQMCTALLFLATPELSIIHCDLKPENILLCNPKRSAIKIVDFGSSCQLGQRIYQIQSRFYRSPEVLLGMPYDLAIDMWSLGCILVEMHTGEPLFSGANEVDQMNKIVEVLGIPPAHILDQAPKARKFFEKLPDGTWNLKKTKDGKREYKPPGTRKLHNILGVETGGPGGRRAGESGHTVADYLKFKDLILRMLDYDPKTRIQPYYALQHSFFKK +>6o5g +LTEEQIAEFKEAFSLFDKDGDGTITTKELGTVMRSLGQNPTEAELQDMINEVDADGNGTIDFPEFLTMMARKMKDTDSEEEIREAFRVFDKDGNGYISAAELRHVMTNLGEKLTDEEVDEMIREADIDGDGQVNYEEFVQMMT +>6r7d +HHHHHHKDEVALLAAVTLLGVLLQAYFSLQVISARRAFRVSPPLTTGPPEFERVYRAQVNCSEYFPLFLATLWVAGIFFHEGAAALCGLVYLFARLRYFQGYARSAQLRLAPLYASARALWLLVALAALGLLAHFLPAALRAALLGRLR +>6pya +PAVHLSNGPGQEPIAVMTFDLTKITKTSSSFEVRTWDPEGVIFYGDTNPKDDWFMLGLRDGRPEIQLHNHWAQLTVGAGPRLDDGRWHQVEVKMEGDSVLLEVDGEEVLRLRQVSGPLTSKRHPIMRIALGGLLFPASNLRLPLVPALDGCLRRDSWLDKQAKISASAPTSLRSC +>6ffe +MGKLSEQLKHCNGILKELLSKKHAAYAWPFYKPVDASALGLHDYHDIIKHPMDLSTVKRKMENRDYRDAQEFAADVRLMFSNCYKYNPPDHDVVAMARKLQDVFEFRYAKMPD +>6d3x +FDCGKPQVEPKKCPVVGGCVAHPHSWPWQVSLRTRFGMHFCGGTLISPEWVLTAAHCLEKSPRPSSYKVILGAHQEVNLEPHVQEIEVSRLFLEPTRKDIALLKLSSPAVITDKVIPACLPSPNYVVADRTECFITGWGETQGTFGAGLLKEAQLPVIENKVCNRYEFLNGRVQSTELCAGHLAGGTDSCQGDSGGPLVCFEKDKYILQGVTSWGLGCARPNKPGVYVRVSRFVTWIEGVMRNN +>6gj8 +GMTEYKLVVVGADGVGKSALTIQLIQNHFVDEYDPTIEDSYRKQVVIDGETCLLDILDTAGQEEYSAMRDQYMRTGEGFLCVFAINNTKSFEDIHHYREQIKRVKDSEDVPMVLVGNKCDLPSRTVDTKQAQDLARSYGIPFIETSAKTRQGVDDAFYTLVREIRKHKE +>6mo2 +MADLELERAADVRWEEQAEISGSSLEDGAYRIKQKGILGYSQIGAGVYKEGTFHTMWHVTRGAVLMHKGKRIEPSWADVKKDLISYGGGWKLEGEWKEGEEVQVLALEPGKNPRAVQTKPGLFKTNTGTIGAVSLDFSPGTSGSPIVDKKGKVVGLYGIANTEK \ No newline at end of file diff --git a/test/README.md b/test/README.md deleted file mode 100644 index a91bbc4..0000000 --- a/test/README.md +++ /dev/null @@ -1,4 +0,0 @@ -### Test Cases: - -- predict_batch_seq: predict batch of sequences only without TM alignment comparison - \ No newline at end of file diff --git a/test/predict.py b/test/predict.py deleted file mode 100644 index 91fd5ec..0000000 --- a/test/predict.py +++ /dev/null @@ -1,205 +0,0 @@ -import dataclasses -import itertools -import warnings -import os -from argparse import ArgumentParser -from operator import itemgetter -from pathlib import Path -from typing import Tuple - -import numpy as np -import pytorch_lightning as pl -import torch -from rdkit import Chem -from torch.utils.data import DataLoader - -from dpl.data import RepeatDataset, collate_fn, ligand_to_data, protein_to_data -from dpl.model import ProteinReDiffModel ## (NN) -from dpl.mol import get_mol_positions, mol_from_file, update_mol_positions -from dpl.protein import ( - RESIDUE_TYPES, - RESIDUE_TYPE_INDEX, - Protein, - protein_from_pdb_file, - protein_from_sequence, - proteins_to_pdb_file, -) -from dpl.tmalign import run_tmalign - -RESIDUE_TYPES_MASK = RESIDUE_TYPES + [""] -def compute_residue_esm(protein: Protein) -> torch.Tensor: - esm_model, esm_alphabet = torch.hub.load( - "facebookresearch/esm:main", "esm2_t33_650M_UR50D" - ) - esm_model.cuda().eval() - esm_batch_converter = esm_alphabet.get_batch_converter() - - data = [] - for chain, _ in itertools.groupby(protein.chain_index): - sequence = "".join( - [RESIDUE_TYPES_MASK[aa] for aa in protein.aatype[protein.chain_index == chain]] - ) - data.append(("", sequence)) - batch_tokens = esm_batch_converter(data)[2].cuda() - with torch.inference_mode(): - results = esm_model(batch_tokens, repr_layers=[esm_model.num_layers]) - token_representations = results["representations"][esm_model.num_layers].cpu() - residue_representations = [] - for i, (_, sequence) in enumerate(data): - residue_representations.append(token_representations[i, 1 : len(protein.aatype) + 1]) - residue_esm = torch.cat(residue_representations, dim=0) - assert residue_esm.size(0) == len(protein.aatype) - return residue_esm - - -def update_pos( - protein: Protein, ligand: Chem.Mol, pos: np.ndarray -) -> Tuple[Protein, Chem.Mol]: - atom_pos = np.zeros_like(protein.atom_pos) - atom_pos[:, 1] = pos[ligand.GetNumAtoms() :] - atom_mask = np.zeros_like(protein.atom_mask) - atom_mask[:, 1] = 1.0 - protein = dataclasses.replace(protein, atom_pos=atom_pos, atom_mask=atom_mask) - ligand = update_mol_positions(ligand, pos[: ligand.GetNumAtoms()]) - return protein, ligand - -def predict_seq( - proba: torch.Tensor -) -> list : - tokens = torch.argmax(torch.softmax((torch.tensor(proba)), dim = -1), dim = -1) - RESIDUE_TYPES_NEW = ["X"] + RESIDUE_TYPES - return list(map(lambda i : RESIDUE_TYPES_NEW[i], tokens)) - -def update_seq( - protein: Protein, proba: torch.Tensor -) -> Protein: - tokens = torch.argmax(torch.softmax((torch.tensor(proba)), dim = -1), dim = -1) - RESIDUE_TYPES_NEW = ["X"] + RESIDUE_TYPES - sequence = "".join(map(lambda i : RESIDUE_TYPES_NEW[i], tokens)).lstrip("X").rstrip("X") - aatype = np.array([RESIDUE_TYPES.index(s) for s in sequence], dtype=np.int64) - protein = dataclasses.replace(protein, aatype = aatype) - return protein - - -def main(args): - pl.seed_everything(args.seed, workers=True) - # Check if the directory exists - if os.path.exists(args.output_dir): - # Remove the existing directory - os.rmdir(args.output_dir) - args.output_dir.mkdir(parents=True) - - # Model - model = ProteinReDiffModel.load_from_checkpoint( - args.ckpt_path, num_steps=args.num_steps - ) - ## (NN) - model.training_mode = False - args.num_gpus = 1 - model.mask_prob = args.mask_prob - ## (NN) - - # Inputs - if args.protein.endswith(".pdb"): - protein = protein_from_pdb_file(args.protein) - else: - - protein = protein_from_sequence(args.protein) - - if args.ligand.endswith(".sdf") or args.ligand.endswith(".mol2"): - ligand = mol_from_file(args.ligand) - else: - ligand = Chem.MolFromSmiles(args.ligand) - ligand = update_mol_positions(ligand, np.zeros((ligand.GetNumAtoms(), 3))) - - total_num_atoms = len(protein.aatype) + ligand.GetNumAtoms() - print(f"Total number of atoms: {total_num_atoms}") - if total_num_atoms > 384: - warnings.warn("Too many atoms. May take a long time for sample generation.") - - data = { - **ligand_to_data(ligand), - **protein_to_data(protein, residue_esm=compute_residue_esm(protein)), - } - - ref_protein = protein_from_pdb_file(args.ref_path) if args.ref_path else None - - # Generate samples - trainer = pl.Trainer.from_argparse_args( - args, - accelerator="auto", - gpus = args.num_gpus, - default_root_dir=args.output_dir, - max_epochs=-1, - ) - results = trainer.predict( ## (NN) - model, - dataloaders=DataLoader( - RepeatDataset(data, args.num_samples), - batch_size=args.batch_size, - num_workers=args.num_workers, - collate_fn=collate_fn, - ), - ) - - positions = [p[0] for p in results] ## (NN) - sequences = [s[1] for s in results] ## (NN) - - positions = torch.cat(positions, dim=0).detach().cpu().numpy() - probabilities = torch.cat(sequences, dim=0).detach().cpu().numpy() #(NN) - torch.save(probabilities, "sampled_seq_gvp.pt") # (NN) - - # Save samples - sample_proteins, sample_ligands = [], [] - tmscores = [] - for pos, seq_prob in zip(positions, probabilities): - sample_protein, sample_ligand = update_pos(protein, ligand, pos) - sample_protein = update_seq(sample_protein, seq_prob) - if ref_protein is None: - warnings.warn( - "Using the first sample as a reference. The resulting structures may be mirror images." - ) - ref_protein = sample_protein - tmscore, t, R = max( - run_tmalign(sample_protein, ref_protein), - run_tmalign(sample_protein, ref_protein, mirror=True), - key=itemgetter(0), - ) - sample_proteins.append( - dataclasses.replace( - sample_protein, atom_pos=t + sample_protein.atom_pos @ R - ) - ) - sample_ligands.append( - update_mol_positions( - sample_ligand, t + get_mol_positions(sample_ligand) @ R - ) - ) - tmscores.append(tmscore) - proteins_to_pdb_file(sample_proteins, args.output_dir / "sample_protein.pdb") - with Chem.SDWriter(str(args.output_dir / "sample_ligand.sdf")) as w: - for sample_ligand in sample_ligands: - w.write(sample_ligand) - with open(args.output_dir / "sample_tmscores.txt", "w") as f: - for tmscore in tmscores: - f.write(str(tmscore) + "\n") - - -if __name__ == "__main__": - parser = ArgumentParser() - - parser.add_argument("--seed", type=int, default=1234) - parser.add_argument("--batch_size", type=int, default=1) - parser.add_argument("--num_workers", type=int, default=2) - parser.add_argument("--num_steps", type=int, default=64) - parser.add_argument("--mask_prob", type=float, default=0.3) - parser.add_argument("--training_mode", action="store_true") - parser.add_argument("-c", "--ckpt_path", type=Path, required=True) - parser.add_argument("-o", "--output_dir", type=Path, required=True) - parser.add_argument("-p", "--protein", type=str, required=True) - parser.add_argument("-l", "--ligand", type=str, required=True) - parser.add_argument("-n", "--num_samples", type=int, required=True) - parser.add_argument("-r", "--ref_path", type=Path) - args = parser.parse_args() - - main(args) diff --git a/test/predict_batch.py b/test/predict_batch.py deleted file mode 100644 index a44af7a..0000000 --- a/test/predict_batch.py +++ /dev/null @@ -1,220 +0,0 @@ -import dataclasses -import itertools -import warnings -import os -from argparse import ArgumentParser -from operator import itemgetter -from pathlib import Path -from typing import Iterable, List, Union, Tuple - -import numpy as np -import pytorch_lightning as pl -import torch -from rdkit import Chem -from torch.utils.data import DataLoader - -from dpl.data import RepeatDataset, collate_fn, ligand_to_data, protein_to_data -from dpl.model import ProteinReDiffModel ## (NN) -from dpl.mol import get_mol_positions, mol_from_file, update_mol_positions -from dpl.protein import ( - RESIDUE_TYPES, - RESIDUE_TYPE_INDEX, - Protein, - protein_from_pdb_file, - protein_from_sequence, - proteins_to_pdb_file, -) -from dpl.tmalign import run_tmalign - -RESIDUE_TYPES_MASK = RESIDUE_TYPES + [""] -def compute_residue_esm(protein: Protein) -> torch.Tensor: - esm_model, esm_alphabet = torch.hub.load( - "facebookresearch/esm:main", "esm2_t33_650M_UR50D" - ) - esm_model.cuda().eval() - esm_batch_converter = esm_alphabet.get_batch_converter() - - data = [] - for chain, _ in itertools.groupby(protein.chain_index): - sequence = "".join( - [RESIDUE_TYPES_MASK[aa] for aa in protein.aatype[protein.chain_index == chain]] - ) - data.append(("", sequence)) - batch_tokens = esm_batch_converter(data)[2].cuda() - with torch.inference_mode(): - results = esm_model(batch_tokens, repr_layers=[esm_model.num_layers]) - token_representations = results["representations"][esm_model.num_layers].cpu() - residue_representations = [] - for i, (_, sequence) in enumerate(data): - residue_representations.append(token_representations[i, 1 : len(protein.aatype) + 1]) - residue_esm = torch.cat(residue_representations, dim=0) - assert residue_esm.size(0) == len(protein.aatype) - return residue_esm - -def proteins_from_fasta(fasta_file: Union[str, Path]): - names = [] - proteins = [] - with open(fasta_file, "r") as f: - for line in f: - if line.startswith(">"): - name = line.lstrip(">").replace(" ","_") - names.append(name) - else: - sequence = line.rstrip("\n") - protein = protein_from_sequence(sequence) - proteins.append(protein) - - return proteins, names - - -def update_pos( - protein: Protein, ligand: Chem.Mol, pos: np.ndarray -) -> Tuple[Protein, Chem.Mol]: - atom_pos = np.zeros_like(protein.atom_pos) - atom_pos[:, 1] = pos[ligand.GetNumAtoms() :] - atom_mask = np.zeros_like(protein.atom_mask) - atom_mask[:, 1] = 1.0 - protein = dataclasses.replace(protein, atom_pos=atom_pos, atom_mask=atom_mask) - ligand = update_mol_positions(ligand, pos[: ligand.GetNumAtoms()]) - return protein, ligand - -def predict_seq( - proba: torch.Tensor -) -> list : - tokens = torch.argmax(torch.softmax((torch.tensor(proba)), dim = -1), dim = -1) - RESIDUE_TYPES_NEW = ["X"] + RESIDUE_TYPES - return list(map(lambda i : RESIDUE_TYPES_NEW[i], tokens)) - -def update_seq( - protein: Protein, proba: torch.Tensor -) -> Protein: - tokens = torch.argmax(torch.softmax((torch.tensor(proba)), dim = -1), dim = -1) - RESIDUE_TYPES_NEW = ["X"] + RESIDUE_TYPES - sequence = "".join(map(lambda i : RESIDUE_TYPES_NEW[i], tokens)).lstrip("X").rstrip("X") - aatype = np.array([RESIDUE_TYPES.index(s) for s in sequence], dtype=np.int64) - protein = dataclasses.replace(protein, aatype = aatype) - return protein - - -def main(args): - pl.seed_everything(args.seed, workers=True) - # Check if the directory exists - if os.path.exists(args.output_dir): - # Remove the existing directory - os.rmdir(args.output_dir) - args.output_dir.mkdir(parents=True) - - # Model - model = ProteinReDiffModel.load_from_checkpoint( - args.ckpt_path, num_steps=args.num_steps - ) - ## (NN) - model.training_mode = False - args.num_gpus = 1 - model.mask_prob = args.mask_prob - ## (NN) - - # Inputs - if args.protein.endswith(".pdb"): - protein = protein_from_pdb_file(args.protein) - else: - - protein = protein_from_sequence(args.protein) - - if args.ligand.endswith(".sdf") or args.ligand.endswith(".mol2"): - ligand = mol_from_file(args.ligand) - else: - ligand = Chem.MolFromSmiles(args.ligand) - ligand = update_mol_positions(ligand, np.zeros((ligand.GetNumAtoms(), 3))) - - total_num_atoms = len(protein.aatype) + ligand.GetNumAtoms() - print(f"Total number of atoms: {total_num_atoms}") - if total_num_atoms > 384: - warnings.warn("Too many atoms. May take a long time for sample generation.") - - data = { - **ligand_to_data(ligand), - **protein_to_data(protein, residue_esm=compute_residue_esm(protein)), - } - - ref_protein = protein_from_pdb_file(args.ref_path) if args.ref_path else None - - # Generate samples - trainer = pl.Trainer.from_argparse_args( - args, - accelerator="auto", - gpus = args.num_gpus, - default_root_dir=args.output_dir, - max_epochs=-1, - ) - results = trainer.predict( ## (NN) - model, - dataloaders=DataLoader( - RepeatDataset(data, args.num_samples), - batch_size=args.batch_size, - num_workers=args.num_workers, - collate_fn=collate_fn, - ), - ) - - positions = [p[0] for p in results] ## (NN) - sequences = [s[1] for s in results] ## (NN) - - positions = torch.cat(positions, dim=0).detach().cpu().numpy() - probabilities = torch.cat(sequences, dim=0).detach().cpu().numpy() #(NN) - torch.save(probabilities, "sampled_seq_gvp.pt") # (NN) - - # Save samples - sample_proteins, sample_ligands = [], [] - tmscores = [] - for pos, seq_prob in zip(positions, probabilities): - sample_protein, sample_ligand = update_pos(protein, ligand, pos) - sample_protein = update_seq(sample_protein, seq_prob) - if ref_protein is None: - warnings.warn( - "Using the first sample as a reference. The resulting structures may be mirror images." - ) - ref_protein = sample_protein - tmscore, t, R = max( - run_tmalign(sample_protein, ref_protein), - run_tmalign(sample_protein, ref_protein, mirror=True), - key=itemgetter(0), - ) - sample_proteins.append( - dataclasses.replace( - sample_protein, atom_pos=t + sample_protein.atom_pos @ R - ) - ) - sample_ligands.append( - update_mol_positions( - sample_ligand, t + get_mol_positions(sample_ligand) @ R - ) - ) - tmscores.append(tmscore) - proteins_to_pdb_file(sample_proteins, args.output_dir / "sample_protein.pdb") - with Chem.SDWriter(str(args.output_dir / "sample_ligand.sdf")) as w: - for sample_ligand in sample_ligands: - w.write(sample_ligand) - with open(args.output_dir / "sample_tmscores.txt", "w") as f: - for tmscore in tmscores: - f.write(str(tmscore) + "\n") - - -if __name__ == "__main__": - parser = ArgumentParser() - - parser.add_argument("--seed", type=int, default=1234) - parser.add_argument("--batch_size", type=int, default=1) - parser.add_argument("--num_workers", type=int, default=-1) - parser.add_argument("--num_steps", type=int, default=64) - parser.add_argument("--mask_prob", type=float, default=0.3) - parser.add_argument("--training_mode", action="store_true") - parser.add_argument("-c", "--ckpt_path", type=Path, required=True) - parser.add_argument("-o", "--output_dir", type=Path, required=True) - parser.add_argument("-p", "--protein", type=str, required=True) - parser.add_argument("-l", "--ligand", type=str, required=True) - parser.add_argument("-n", "--num_samples", type=int, required=True) - parser.add_argument("-r", "--ref_path", type=Path) - args = parser.parse_args() - - main(args) diff --git a/test/test_cases.fasta b/test/test_cases.fasta deleted file mode 100644 index 928cece..0000000 --- a/test/test_cases.fasta +++ /dev/null @@ -1,8 +0,0 @@ ->seq1 -GMIRVMATGVFDILHLGHIHYLKESKKLGDELVVVVARDSTARNNGKIPIFDENSRLALISELKVVDRAILGHEGDMMKTVIEVKPDIITLGYDQKFDEAELQSKINKLGITVKIVRISKYDGQLNSSSSVRKKIMELIGERY ->seq2 -MEFQRVHQQLLQSHHLFEPLSPVQLQELLASSDLVNLDKGAYVFRQGEPAHAFYYLISGCVKIYRLTPEGQEKILEVTNERNTFAEAMMFMDTPNYVATAQAVVPSQLFRFSNKAYLRQLQDNTPLALALLAKLSTRLHQRIDEIETLSLKNATHRVVRYLLTLAAHAPGENCRVEIPVAKQLVAGHLSIQPETFSRIMHRLGDEGIIHLDGREISILDRERLECFE ->seq3 -MEFQRVHQXLLQSXXLFEPLSPXQLXEXLASSDLVNLDXGXYVFXQXEPAHAFYYLISGCVKXYRLTPEGXEKIXXVXNEXNTFAEAXMFMDXPNXVATAQAVVPSQXXRFSNKAXLRQXQDNTXLALXLLAKLSTRLHQRIDEXETLXLKNXTHRVXRXLLTLXAXAPGENCRVEXXVXKQLVAGXXXIQPETFXRIXHRLGDXGIIXLDGREXSIXDRERLXCFE ->seq4 -AGEDVGAPPDHLWVHQEGIYRDEYQRTWVAVVEEETSFLRARVQQIQVPLGDAARPSHLLTSQLPLMWQLYPEERYMDNNSRLWQIQHHLMVRGVQELLLKLLPDD \ No newline at end of file diff --git a/test/test_predict_batch.sh b/test/test_predict_batch.sh deleted file mode 100644 index da36894..0000000 --- a/test/test_predict_batch.sh +++ /dev/null @@ -1,24 +0,0 @@ -#!/bin/bash - -#SBATCH --job-name=generate-dpl # job name -#SBATCH --output=dpl-inference-%N.out # output log file -#SBATCH --time=04:00:00 # 1 hour of wall time -#SBATCH --nodes=1 # 1 GPU node -#SBATCH --ntasks-per-node=10 -#SBATCH --partition=gpu -#SBATCH --account=pi-roux -#SBATCH --gres=gpu:1 # Request 1 GPU per node - - -source ~/.bashrc -conda activate /scratch/midway3/ndn/dpl - - -save_dir="/scratch/beagle3/ndn/DiffusionProteinLigand/inference/example_beta_encoding/${SLURM_JOB_ID}" - -python -m test.predict_batch_seq \ - --ckpt_path "/scratch/beagle3/ndn/DiffusionProteinLigand/beta_train/retrain/10181134/lightning_logs/version_10181134/checkpoints/epoch=328-val_loss=1.20.ckpt"\ - --output_dir "$save_dir" \ - --fasta "./test/test_cases.fasta" \ - --num_samples 2 \ - --num_steps 1000 \ No newline at end of file