From d813fa0dac86b3270d2b6db407ed447f06daa37f Mon Sep 17 00:00:00 2001 From: souzatharsis Date: Tue, 26 Nov 2024 22:31:42 -0300 Subject: [PATCH] update evals --- .../_build/.doctrees/environment.pickle | Bin 954412 -> 1005382 bytes .../_build/.doctrees/notebooks/evals.doctree | Bin 148648 -> 171989 bytes ...009f1b93a733780c10a27b655fc7cd475d16a9.png | Bin 0 -> 63551 bytes .../html/_sources/notebooks/evals.ipynb | 238 ++++++++++++++++++ tamingllms/_build/html/notebooks/evals.html | 178 +++++++++++++ tamingllms/_build/html/searchindex.js | 2 +- ...009f1b93a733780c10a27b655fc7cd475d16a9.png | Bin 0 -> 63551 bytes .../jupyter_execute/markdown/intro.ipynb | 2 +- .../jupyter_execute/notebooks/evals.ipynb | 238 ++++++++++++++++++ tamingllms/notebooks/evals.ipynb | 238 ++++++++++++++++++ 10 files changed, 894 insertions(+), 2 deletions(-) create mode 100644 tamingllms/_build/html/_images/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png create mode 100644 tamingllms/_build/jupyter_execute/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png diff --git a/tamingllms/_build/.doctrees/environment.pickle b/tamingllms/_build/.doctrees/environment.pickle index ad5d233d59e2d29c9dbcfa645eae29a29111cd21..718e9fc70062b49b65fb37dca8e04bc29650cc97 100644 GIT binary patch literal 1005382 zcmeFa37B2iRVHd%W0h2zCtHJ$6X1u%{A(tmoL;?;gjQjwd{>Is@Z}Y zj0g4Hc*89hDl_NKoe%V%rBb==&rFuSFrL=K1g&r>`tfL!iAO`{T(vS?m}!M08Xft) z^tgIq;2)~q@apwK-U}F=RkgVp!a2wUjk%K73YVANhF34RrB*oXH_D|; zCG1AS4P#^JLT#>+&E$M9cfD3EVD`{8ed2QFa-&)Yl0#SgW;q+A^Pv1v#c3@s+-9bz zQO#v!>~bLpKsiuzC4YR{y-@)3(D&7YtQ&aEI@rO?VRYisdO{1;D5JN+)tF($SDF)P z?F{>KwJP`t6W*E+hns|zTgicd^UZKmGw?FyW~osi@G!?&uptAsi6%7TRoraJ1KbU- z5-{5lHCE)RrD`QJ?O_;jY`$75xplCx-wKxz;}oXnz!5<+8(`cfu`5`-;Re@Bg`feV ztl_bNUnT%K%K(M>7Q9nxR9oR<;#)93voD(853+kVy&R8}0Yg-0Ggwa5Iw7>7?PZ~o zX?W!tp0C04YO_&mHn7O@XpV6MzdGCM=+P*YJ+y0`-4SkX8!G1lHsS)Gre$s0yD~Vp z6)vhyPq)HtZEy4pN0=vES;FGJ2~y4!D(JPmmY?P)t#Bhzzu2tJVM?;q>h+9z{%W|a zR<9Pl92j@l3N_4cwveTv@So`dEdeaNRdsLLtJ6#bX*|c$Td$TeaLw2iFdwdM<3z?Q zJeFAMjc33p>A5mkbB+2=!^O%~bfQ^Y26EGrR_MhXJbeRdV7yewj)M?b;rr8*`^JMp z!%NlN+;s>FNOx8j`1H(7$;*O;tCex{o!njj4w0?%EAP1LU%{HpdKL}$u75zJf&Iqi znBP!L$Ldq-Oqy$qqvip6tT0oN3GkZXlE7;;SwnY7iuFBat_2mM#<6sU;9!|hf$&_Z zS44)E1j!LS`9voKOe48;#AMn3OyH3GOw&HX4PAg z^dzaEqZhN%fvr?)LVE{6#)?iBU~P{^_)#&^Xha!4ndvHNI5yvw1rW`w)P^ssznn+N z9D#j=xd1DlD$Jz$(UJzKPssc$^k057oP+L2WlPl@czgI96e9F3y=g`yG)ccq*@Y6^ ztobU++-bK~z*jD#(Rs8nR_2ln3|nPku9o?NeVn7I^uH-wexjOdvZ>8IF5D(*jUE*j zrl$X`;c_T!vaU(3p!u>Z)!Y^QRO55&CHP{Ql{F1_3M%Lf9-u*JnFnjFUZpR-xAm@; z|GnWuhA+mu`HoGh9xb~WyRGF$JEr1Q`_>DWxN7CQR@Qz>V>EOAvh^S9{(f$ zPx&7O?S4YFje&Wz@Bh)KZ$DZ@`~E_-Zy)MJ+kZOJ9@0BguT~o^|HJsJ>@{3+Emra} z5v~uH6|*T8$IWawTy_J9_$-osAUn4Wep4)SSrC&P$$Pr zF8MYS5Uu;rC8J-xtcPg({j%mAx9+*EAP85hWeyOSqZLp7M!1|{Op~nk9}c%#oB!$) zw{F8T;QuJ^z<;>`Q)wwAT@wsXvj2T96n%CRuTk`JqEr^lZdSGY9gDY^e zp$+Qk=1VWlWg2h|0??LC{rPa2Zo{bly8jy*P8yb{U!IJ>JAuIV9mwvoW1Il7iu(;P=P;x@xu=`bpHIW*hbcFJd^%QJJ?=sd{wLtwI{)CGv6&3xF9l%KAHNZ5z85)!?hhU82PlSQGx8F|EY-hC3}w z71J1Jy)6cPVAjz~wJtGT3`|!8%1}`AHD>d@3G8AeM zAyg?eYK7eOxz;>4TBUzyVDVF&g0BJ-VWwZdqY`oaS5;P=U7kQSU*c62@7QJ`^(ws5d5Ph$Ger0(LiLhm9 zeP7Xqnpw_qN9YF-2*FH{9cC#DLr=@Q?P^_Suo!(8ks1UZN&wuimJqs-MIVl^4NI{h zWwTxOckn#&W6?jSpIFX8)_cOm^qfR@ILs}S$y}^M%<@0Z9Q#eCAxe zpv>!bQmgmcVQwNK+A$Stx&LgvK<*CdRd_|i2;LT6f{%^3w|t0wWEPXF*%f1+71hM@ zlRao^!TvKh)sZL+*T^Vq9iFw4wLFN5vMcG$o;G(U-<1D&m;ZI@k9Yg;QGdYCRQ(kY z5S?|m4Tx|f4-5;ok!jZQ(4Vj-*plPVDmO9!KV=bVhk2<+Q=MQ~fC^O#+q3jFuT|hq z33Zx)0tIPbjRI0bIKVA&tY1Ihz;M{-8IB`|_x;?*^fy;=gUFPs@ifV5r9wl`^?dXN zMP@R}1``O>mzaCh3xY$xp?6mpjBzgy1e{1)vLZI{= z#hD+9ye7Ai9R(Q!7||4l_eUDly)tBvZb2`jAE0)m1R8U+rNe!9Mf%b+@~p6knrx(F zJHn;C6OyPq!tIf!5VCL@V5(w|gU$~Jr z#-js627$FmOBEDhJG%AU%ft8FBNnv-LE+ZCOWw@Mo3&AR09f^VoLj>V{;!T$VZGw0 zhv~YepVxy8-yR+w9~&EX#+*w`<-pNGIPcJOI@6e1$8|11{G`!}8a@Hr z+$}q|=-F+jK|53pZa|w*U{w%~nwoYB?AtQ1bNupUM+oLrr=1GM0fbd)pgJp@1LxL> zr_WzzYTS0N7>Hg_pM62?b1|ffOY+oveArM`!9yKKRhPZ;86hs1BWO4|Y|nVk;~Jeb z|0D!Q;fi@6CQ(zhaT!*)9}Zcq({oJQQsIW@08*Z=!n8B0sVE zfX7e2*!1dimo-C8l}cu)GSDg8n95Qcy*${ zV?5jA&T*KGS!@)5BfJVGm)O%$(R-&501OzjUOw$STPT&Btmo7abpXc@5Amn58QO4W zK?mJ(7??rIHA~#4;>^_DEVt%)aVvS?%`EHG3LYdhO*+5gfmF}R?go7dVleL%DvkyWIW5mc*lBrIsc zF~58D#Hcs+DG}x*iI(=pBva_?B2tb+qF|(*JNG&yLrzq4CrEks6-HfYvI73=z78fFse*;D8h1TTyJ5KF7n;N|1>V zN)V?jO5k%9Zx(`wMc(drjP7v*P4Mp8tLBNmY`8GO;I3lcI}FOtP>6zKQc*bbVld- zeb?HD?qVD2OaIr^zZ(T5S5f=^^{eG}K7bS03si0XxaL04XA)bqGhy5@SI@n9)7Xho=>%*u-ju+;iX|A#DJOF$7M)BMOPl zvPuU?gc`j;N)-P9RMzrQXh}cmrG?cKrAiT*ENY#p6%7lDCISNd602e;RQNsxe0_$* z8$m$=)4fqGhZygV{V~A)WZ|x{QIDAZ!%X0Zjx)_j`aigBDc#ZK&tvs&VKCyq?3l5HB zo>Jv*OJ=6P*#JLpu+cS2h@+EP9F&svys1X~R(l*_o-rExZ5JGw04Z7pBgibl!OK{M4Cq zPfVRSap~mc%WrC_FK@J6^{!CEbIVA5IyZIU^fObZ(eK>3CrX8MwLYW!_)q&UaX8Wc z9shS#Tya=!vT)uJml5*;=Y*t)MmxqLKZ>s3d7N6{7p zlPOxp?^daIa85XB4uJq9XTdZq)1Liv--eaKa*X8RBhF<^4-BYjNNm-@!5#|)3mf<< zypW3Ig`{|F=Mgi4a}{Xogr?`ufq5!>Ph)re`n6k4GK6!q8R`XAF-Mx;YE}@{LDm2* z3)|umxThfFjKd)>wxFO;5H2*|yoyj$qk2_uh$Ct|L($h;SFzr`S=yX{-F@pS)&SXD z0mYPW-_mL#xNSdl6&ZxIL5>ukTV`yc3NqP5em+h-zPJ4?gaQT5%tJfkBhE?KnRiai zR-k5ZlbXRuM9lbTrLwP*1UI^+XC)3G7&|C#ahUb)`d%6e2HTy#uvz4OWY%Q5L5;Hb#5J>~>9%;lG zkkA6i`zh41R4i1h>_`-xH=Xad&+8ssazrhC&*iNJ0dH-z3CteEp0HEHpN_neY)QQ= zBX4G__3N}%adt^pCuEx4qGc+VY4V5BFZlJ?7i6kS6xS_s}&wvI6Od4%kFiA zDwQ;%9e56lVP{NrTu(W?B~OJRCDvQ~d81+1LhltS(^U$?wWTTOq)vtn2~N9;@4pX8 z@ee)?+X^^)kSr$5t`><-1|2zH2#}hM{S~CF1}%fZI{8o!xx7Z+MZ}x}f0MlFEmaNl zmNemV*{jw}xlx9w07+zy6iSe!O`*>gd7GnOn$QnS~)HI&v(`vcd#IV^&_+T>e?F#Sx$C4~5|Dl&x^ zW4jx9v&+b+C{aG)5QSi2-6Ld;j3iil6d0upMU_)a8ljGaiIoi>Iwzmu%nyhu25EDy zR#TDt?rmmnu$CM2L}vrN8h{Yq!hCGb;EUDk*pCu^r*7&6^8_V}$-Db0E?Ub_UZ_i< zlnjOBkVz8wXujpw)FCu29%4=u+S}c>XzEFqqT{R9RviBxQ?R{ zXm2*WHiF}^0=-fV_EjaXb2VB>cn5U7`6&%yr(G!iDi$7@2^;L|ymy15`@G}3 z#H*yR&`h%}wweB%?7D{cPTFRxY%|`D>G_@OS=s~0BZ0F`KBeq1YwR#+%zN|(k_f;Q zUx0XQf4|xGRk;Wvgy+o=_uD4OF~xpIy__k*Mu6V107vK+z&=w9j(uGrTm(jym_(bt z@^ZEPg4&h~S4RZ#Q{i>BY#mN8RvW)qpBA3T447srIpUffYm*&|k%yP2^4(XD zH-q|kwon=O3ph=HZASq$LN7C}>a*7Lkr%d?V?P9DHAf}*NKONb9eirOum+5!7}f6I zQ=$$(WFB2hnxwr+IAT+=p+&UVWe1ZR_Sj3aFG+uj;1kd1MOZAfSS$=ayHjiQ3r=<7 z>?7S{rGCMd4i04?E!n*xj&Af_)I{PTH%8O-A);kdX?t3|*z2U-Jo00BGc=vAS8J5i ztcPCP))|Mzuu4XbQ!Jmt4NeD7&W{I76PycAS_)3OFD~ma3MSBm8n^y4?1(-yt5PVY5tL&%K0ogE?%) zbDomYF#Hn6CdCl02Yd*KI9op1eToN}-P}{Xp}ZYsTA1vc%{(NZ8_KwWwy3b#)cQv8 zdAWhs*|gp=9L2DjSP_Ax3G%zO6)O;_mt@((Fw2O_6Cs{cBE9X$-i_IiZ=cxQKMVKLl$ z3;(;_dY`6=0)XZK`*Q%9@-%ry1OP?VJb8yYnX}|(v8N#K72?tND!)*hO5NS_h&gh= zi-A<%SKaefWbjaS2mmk%ii(R=8U##cjuOeY)s#p)M|-&~|8t5qZT!i;QMP*1YIizx zl|v-7N=cHGes3wa8n0-Ykb1$E7m`_s&d4WKBh#@kGL_pK74wU*_86-XG*EFbGTdN` zrBY4gD>PCmJ;FvbfJak7Jfc2x6NJSvQ-B74iTkg^Yf3(6(}fHMGU&Fv<9Rpr(p2j0 znQQuwiPX`|wXuhFryi%s{Bvr&`{mS&I_U2 zg=V-KWDoK-BMDu^Y-*nf);y%1PQB5>eN)F<6}vVgug7cdr8X1Tmu-a`FGERU0}{LI zv=E$IWH<}=c6L!JbK_Icoc+2G5aLX!Y;TeQ28ajnx(weOMr{F`7D!;RXP)<{$>~0l zi332)F~m=rHte^-J3`<&9HJ$iLdHiSvL8kmXP7L^o8LG!nnz zFK)37bOL>63t~1s1Zi8cO(YF9#33Hh!WuHd4L~5_4x!f|gBbU11e#7og5<@3@-Uio z__OZuS!@@l9_ZX-Fit@kL>CYmAK#bWpFUt7K$lRwoW>f0jpEG^Wn1C?z<2i@Jd~R9 z_PzC`@dMt){F&yVx6hp!Klt|3!P_d?N6Qm$E6Cykokx6t~jAoXOnehz6YsP^= ziSQEzSGc8FcP@Ze>(W`D<<=x!ndZiO)3j1>rdHlS(cu6wGJiSqX|;K*79iGGTKxr6 zmX(cut~Q$Z&>Pu#d~}Ur!-+VCZ9UDUK9NZ0ylNEcmbJM#`cj=j<_s`j# zwnsZ_!;T__)5>kWhVTQ9LmwkwLLVU65Fm9COUIqXxhJe&4w;IqqnBC(tMC_$HLC+R z=<~>Oz(Q9uSmKtD#VngVx(&HQjY5r#66GCqJlEk_ZS4AV=#SgUnP&+!gK;A#LAc2S zdMNy-RH!0fr{>RzWhln;4&8?_N|f8h`88RzyWM&x|lwq zTdvYAbBJCbxC94Ip|vhDLgzby0ZlAEk-ma&7cP-D_sdC0Vs`8o&LGN`)vT6PJ&6(?B0e2T%%Z6>ozgzzSi?Wkv1-zlI}9KNFjh5TxU}*wscE z4pJp*Md82z=sXYq7_F`&Jr;5148p!t8wJwn)o^7E=W!^c!9lPPiNUJw2_6S&MGD&K z9EW75mS(|%NyC-(>0G4mF6m2(3%(w52kYsA*O=x3z@4o7Xe8>_Hqt6q7B-`xxRN+} z75XT5^(Of+L^ld}(^*?ORgsaWYh{}ON@kk;*gV|g_)a`2@YE+=0f;PP}8S1!Ki zp3_sm{c9ifmOWc6t}(xcp8d1pD)Z}s3tuRXm|r`_zOT62{Mz~9Uu=dreMfu6kdL&b z#HB+h5X75l;R>xeu$A1PW5j$=1{{Nii)d|q3(f{#YK`*uNFZ!uX;a9lBkJSe#vINR zA(Wi15$`+^^Wd6|slm`{tDX_=?DvHf?`NkeT{?VT7ex?XOSu!?xO?DeHkUt|J2Eku zKbk$TZz4N+n&xM<#NU6Yjpl*+T~pPUjBi@&^td%ugP2 zk18zsjXrV2J-qM0k^Q+tlhcRx9mpNZxf4h7*~9sRM-J_qnAms3&AIv9;r#T`BZu>o zho=urxZdI1A#dWqw0rbGexDlsfp!G3w^@fTGQ%&wiKmhXy-QkkiA@-KE>vuJQum_j-dsIoe4Vm<$Gj0GxI*#x_Zw&uPpiCJpM!fCxs*sgUoZzHn)nhx6&yi0jk2gb+RaL8;sw){m9=ukiaWu*Pp#2>z9*WF0!(|N@`#w}gV70&F>@t6QIF)=U8f6b{%q0u9 z`YZiy{vzn*p>PO@5#QB(5JOc3^OuB2#-{G5cGQ@Vcexz6i;jBe&IVOuZVK(4n?d>nRo67fRkJO}IyLVey^L~bQRWTi&r zW?V$1!@`Jcc^W3=jRLahF)3%gIjrp}3>?JJG`IC{VA1*4$bbfkku$LqU1 z!=;LE5zJ5VT77$DRyB9q-Z)pKR$6K@#omrAG*^~=xLLQLwb;=_O9WfbrL!={N|o;; zw&Z;zJBA~xEruxADWYKCF&vPpq$1UckPv>7iU!F%#c671?5E<-7zv2gdd5DXX3T%S zePN9H{a4DwGnD8G9~NE=66e~nK+!ViNzX?qKAcU!shy})NZ!$+_p9;IBSEo7qxZ{k z8B#j@lBP$0^mkr?xIQ`qON0kpUdUR^R+*DF|yt98$XObb#%(uZ7GjbeZHdguxg3wy7t%LwF0+%3`!WJ0*qa~+U&Gkzl?C*L z#DH$nfL=3zE#)oPE!elQt3~USI zBYk4w^T-KG;N#ip)^eA;0JU}~cBT=G+1g_K4T&+{qA~tJ0*s}P#kl|SimpkSdCS)Q z`^mD@OTmw^EF&(bVHG|zdQrB@HCY#KXes(16I1klP0{~gD4JyPK759fQ0d?UvHS^B zX_BmCduJRu>vrCg|T!SY0!YuzLRv(GQ80sjY6?DSS{ImwhM>+U6Fd z)HaOuV0MZJ0~eyBEnEm`t(_VFWB!l(A3wW@z$RBk?EV<8%A?|{>_6r_OBLu4^O{lB z6)^pJAIN!{%R`F{Ow`A+#|Scr+*J95k>k zjF0q*h0j(B<7$RO91R;6+Tf4aOat3k?4C}HoujckmjFBI(;vI2)3wy^dj z`x4{wu*T(k65t|zEG}064RQ`;9xaRZ?*t-A9i$ptiJ_+R}W+sB!pdJ_jsj3K@ zcIdY_O)XtNotUnVXu5tX0bQj}EL^um%rsHqU7pO~Mi#%%C&q7=#_#tM;3s`7e*Nb^ zYHW$Fv?hY>7mkU&wLdj0whdD28h$D;woOWBqFK}HQ8B$>5}9twB(mLfX$Yi-wcB8e z#Rk*1i`kePuyeFWY_J2zoTsqc(#+wc8_C&Y*sJisr4YQ0Ip;Jgm}_?_K@U5T%P2QG z_I4TBU!!^=7wewM?5~H~L&$BIIal~>nnou^ON++VL}-u=wnw9}#h|gUOqM zFC<2IuSWQqK{$~;h9EfQemj@>pjgx%>waUwY$OIVrNMmBfVnWANuP@8Ghp4UKSRZz zIgr>D7w!4ZV)KE-*rYW!uNue}#zy+Y!e->HkO8nN_?9cPTsodw48AKd2ICro??`}w z^ofPRn&Uo-2Ge|;_i#u6DK1(-cfYWBP~v%fwL*6!O0@%lHgMEqQ0B2H=|{h-dTaf=EG06Kg$bW7?UU&scpFc5u2FR05V)xRHZMVDH@3qBg8M5Y*@$!C+(_-B- z&Q_uHu{ibT$*8R>w6Ig&zn}23u!-g6{(Yj~68p!Rezsq@TkPrsDasBq_G$`eLsG~# zBy%-219R0H)qBLKhK<|S=NMNE)twyGsokVrA||yqN8^~(4~R*9P}$JOQHC5LGOpFD zS$t3v%MnKsaReF72Q^0=G#rs=VYVC1bhjhHZY1&Me(x>F=MsTT0{M^z`HTU1;e{!E zDF2j}419zB``zoVRIekK>}iw+Di?68X2fRc^~&OsON`55jmrxLu7z=tKK*ft8k6ge zBVD$)(bDUcMdqc%$Q;qg%o=18@lv}!x|3MrHzWr6s0R512IPh5FMVD$eFpIok>5jT z7}k78Jd(-Z@ye3_dlKVvOylxh2Cjv1kvw%kDnbK0)&2X4a2NLI&$p2P*ft%; zy-3Bdl(X9H+zoDIY5A$dw0um{@{L~rt7)I;`b6`@kWis=MrEc zePUs;IVvN2L=*bHw^;pkVyqt5Sp8K3tfY^{sz1L*4GYm5Rz2E&sQ#}rI}frck%Q(- zO)IT!O^FA@lz?uB!GTlQ(CwyGyX~-4YzM8C6WI=jjyadzX%C?{_|>=@2ZwDsZHFFB z>_lu`lEj)M+u>{UL~PMLlLg#lw@(9oCJ3To8@*51{?YX)saI1azU51=ojz|ZM&Fefqmvq=??`}= z^ofPhs`jlsSuUNAEe@YZjKe97!^aZfAbl(jRNp>O+Hjd&;(ur5mFL>KkY zh)_qW6_ldZSe+YG%S0n;T@yzm?h2yoJxXEfmd!vMap zK9N3uX8H`!nj4-%^oz5&&Q%fLW0`EGruR#W&(P8&CJW*7W{uBM-7`)AO!~yaXXAOQ zoU;+MWO-=@Sd1^(M@Y?6i(_@Sg81Hir{qb53J(AOSYg zCl)q+GnTZ5>HFSdbs;fU=QUPm6JRBMVqtZ^gpz3yrKlbO2??tHE$U`K3yYbT7_$o+ zvupy)q>shSYLG#iN92kXqPAc7i1=cMah32(9*RrlQ*;m%*%Mr3N6UPxg?5Qw1}#B7 zSWBoLDAsJXM5jhtE*eS8^f($RB^v3-G3QAHk9pJT6wb1%i_4Bv`6xOQc>`s-P%Bxp zV!~c_8sDF28c9E0)YJI&W*QUeC(8SHD~ds2JMmmKcOB;(2^%`$DY!f^posVhD;l%kF;Fgyne>T;+1jU3_8rr80(Z|<=jhmmVASJ{#pG`i zWAco~i8 z>G;61q!#2`H61tWo^dQl=@SdL5snN`p&;)Za><1oI-Xh#CKF@uti~Xn00Ze03xf^k z3#jP9sY=}@WAB$1pQjSz^PI-#WCDDokHx1yheqSUqC2djwEe=pVuKt>Wwn-1O+(A$ zpK3Y9MIuu*qvfqBg8P$HEe@Cm(h-({m(|L8nDBBo>L*;&CjJ`=``RKR2DJ zV^~0_4tnyYO9#gc!wqO*C##%jvdGeSyPm9~nXDw120$esamQo3a_fSA;f5B8cO^oC ztd8e367MufEUXoz&n?qufWBKT_WWhOmfK89*K>=-wb4j2BL+rkUp`nSo;jB zC{Zr(DU{-l~kh|3RF(h;M4cL#p)Ll zWAzS=)z2ruO8Qu=tb7`zv4uPBvb6m|x|@Nn1-qGY5zoVYRi4NSE5qp032x)K$5f@^ zNTc>$u3?c^S{B5SR}UI_^(0bc=mrKh0dY)#%U_v^Sg@U)kUvc{AtbwA&=c~2pB%a|mx-TSQt_bZ9OB`M`OpDgWU(7>#7MMhyR2FvvP!RgBddl`GZ3~29X#l+O?D3o=c!_a-S7GpeM6nM9}kzo z|6{3u+JYCl%H+NeRsIH6%I#=i&;Mlfu_0>ERZaJOEiYWD3o??6%@%9FVR0Q z(?9RTKVG=J?A}D(Pt>M;^H=bHC@2WSmD1xbgu|$)D8Kxr;o_N66_xeFrKmuU!fYsI zI-)_HJNc> zie|Qs6wXK;JvwM!d^h@Cpz)?@JY9NFYVbvvXqze?iu)Z=;~)R3`!!Q#=sVQEVirQ- zVw_~yhwAQfu^mm3x;#~1{pZp5Lp_$mW8q&lmSe_h=dpW*$53C9>-{ZK8H)X-wW<2( z@1?%?hO2VTI;vOVVl=4+xl*2Rp7e!C$=+}+mBZxvmhej`NQ`Q|OOby}=@+KV-s%hC z(2P2AQpNqT;SkQ!;z%NV1pHW`KBKDHV(RrzzNrc~8&#?BE^2nt?J_7dNj#0(_Uq)1 zxyVb@MINF0xZng`Fc(i&fp2l;m{OKha5~(op2$si89Ee~ky@4)=w3DMpo?2l?O(6P zSBufDqf`~SquwrVdMJQaT=H5fr!5JW@D*tI+^Si(PM4IT1>CqYVUL}UoJUB3kvr=F zM+=vS+uDl-tLrB+C@PIR%y9F;QUaB323xIGq^&9(E>ZUshub^ebPQ4a8SrtqN?ns+ zi>FKPZS5~QI)`h_^=%+g2{@tTs_>^OAROL@)f%qHm58|W4%gR2iu_&(m*(`ny12E# z)O*Hi?^6Og-z?+mI8WD#24VRD_AQZ}L{;S=jQ9ztTL~zhV;|K5ubHoAaF-uit?_Qw zs;B}T?a5q%JDhJ60;=yrW8vN*byt^xa+xd$e{Z-F$WRcMO?WgPp`zDR=v-vpfHKT0 zAlyt7YlB;CYQZBU_gTl_kst`nL^<#fJ53KwwA__+Si2mdZE zVW+9pS!=pqz3Ol~LL68^n0U3`^i4y!BcaY05%wsjJpwVsw`{6P+Ms&x0^4_^(0I=x z-HW`+4XURbE?43N>ldtuEqJ~!G-I!I4%bF+fdZSMdM=gST}^jKr!?k+B-f9}QEoZ{cpU;B_i zS{$c;HX>D_xQ_n$E&Auz>7Vx?P+oi&{WAk+sF^u)S-}E1%K^X3p{tx?S7-;_!3Sv4p zt{|q9E(&5wO;r$6N{)h#NRsKc%=dP40he2v=IbExK zsS-<3ak4~xomTbTstg`3;YA1IPK_O{6h5pgk)K^@%+&DsYp5E|U!c0-wg~#7_9E!W zJ08OIH|k7#1an(RdI>uhkyqi$GhIcmBSqQU--?sG6SnpnP{7-{;6KO(yw_l<`s+~F za|6}(#Q(P7e-Ge)+o>;zl*vvv@7`fLv=?(1S|`2@4D!3 zIperxM-|6+@>SZAZuoA)ne_`f-#O#t+zM1U-t479x6nQ)@XZa*IAwRvDS0q#9lAaY zcWvgYPN9)j!hRxr9Y(ffJ06d0M6M~2YmFw?n-r;}m_7NK#y?pSj$A}Blq$}G=5U{K zRq*I|YGJq>ABMN^_a8jF7E=ZoJU=?m;c~A=+gm7D??&gGfPbURu^wPGBe0}V#T5oo z(1#IDrsSMpc$ncH^~a37%8@T}LoH=yh~mE`YVb$!%-QUKM} z%F!I60GBpkCpLnjeml{z&MXEW=!3yyZs%e$vIa4VNS%73_dIZW9|Z-X6Vy2=Q)u*V zAbz_Y@=^cm+8=bG_Wq9d6XAo$ahJC($rd=zdY^ygL%4%)N?lr`?WIwC@%ww@M{;2w z7^g#E7#z1lt9Y~@sH@ngW)X`hrSzpZEKmsP?~Q}>cQ4fFT^Q**L7C))*bu!*0ipSN z6{p-H*nhe|_WK85zrn@+D7*wLY2Ylw%1nQ1A$(}2Kek$<=kbV%< zNZ;U!Tg%gb-XH4&1F+ucqP}9oOQFUhLRe;8LHkb@!idoR!a|Mi9PJIy`qjuS1ZM*0 z6x?ltwJJN^Q!Ns+9~^-AhFQOglT(EtMfahm@L$9Lgva@orG>Bp>ct^c<6NlSonycJ z>1G3wDAIwYK#*qthhwzEQn+(MtlOVfIY5^XHs@&ST!aF@ zHJAdE11PYXvjr%6rbiXje?10Dg!+Gr(e5>&zWoYnhapiJ7d}^69?%9V6udr-Y9+zn z4yM9Dn+{fM^c!FY`UdnJpLi9T{7np8i6&o+(azGO-FfM>jbFxiO1KPehw;c#9NY+l zk)b`f5smcDg_bpqRE%m^J0@+rD&I-*UE6QC;BCLPJ5Ch##RbC9;)XxcZs13~u@OtLB6NTP zfqtcmVAtGU$~-J%lZ9dpRebG+PJyR06BJ6A^_*-Ix93qiy4y%)=D=4&Ms5zF3GCG& zA*hVAwlHqf&MAyWE>z?6#Va)6=|bbFW)||NRwz{)d!6GYw~2JbDcpofr{sYWb~1x% zoo?3Ni_h1PQMQ+pf2uf6PblL*f#(G3CK81sZA7EIbe`ThH7q_9zo+|1_3jUM$L2=; zI?=(IsRH_XGw|tps;M)nT6Gqt3*OZ5u^b2a0QggQifgR)I$3OsV%L|)#zilH5#<@nGm?!oc4tC0ifib*4@J(h~_9Ci1yWipHpt4U_b@87tLS? zR>f;Z{fY1o|2a&3L=9c&SU|op>Tqkj;SdR$L?2lp{??8$`Y%G>Rlp@a2zb-QvB$>8 zBi~RG`@yqY^y(DQusSE6qdSlPg-_E1X3h%p&M*iOmI8o6*q&nVTS4Hd0Ahy(GB$=w z6q6y5MeC0oNtOr>_GYn1>+!`e-ZTVT1IzKnCidiW2Tz=fq z0Vx65L4~u7=$HebxC*%vu(ZI%^%#GzgG3`9Min}R_;7Skhy^pmoXV>~AJpGs0Y^d? zvIa!~)NP0?rKxpY3Q6O$M%an`oGlPp`2u36$yiP!TsQ{=>wKRWC{{pFS$6D|-YDRf z=$r{AKldS-A{8C`mq}9E^Q&Z%tURp6mWQ%39~fkiJdbI&3=Zw4F1XU{M<$5l@>Sb%Np%{l#6d0@-3ZPr$(hDVz=mt3fu#eJgH9QO zO-XOcl7~&8Z4tf9$x5IVgS)~}Btwc_k3yRZSV9QMGBgfR%_!LbmIl1Eh6F|mDK==T{Vjqk#TEQP|v6xz{E zp`mcKhYUbE!G~+U3B|6Rqyf7%;m?kZU1+uw%Yt0MKx z2_RUIFMVXB|D20xQ|S;dlKnKyQn;fG&Ib3)`lG^mk~AEfmXmSA zF@5^)xrIM8Hg;Lx_W&*%ZC3WEi$9p1h@F{J!3($skOT(VvhcR?KiGcy`XS+2a_Etv z3@&A3keykG6=lPbi!SFh@po0FE7y%DO&U`(Hz$?C1k|Nk%4BkD^Rg%R{?`t6D*ih> zkZ4QzK!5xU*A8f6XYc>&_)ILW-Kn`&U}UcS=C3}oS~LaH_)ID|{-R;Hfu!+?Nu^IL zCjGZ#V^2kEDdTc-@~6lwBNn~FZk5V+XQ8T7$sq(0-U$jY+EPdwSH4UZ>X3vgq~;uq zG8k5fxxikcoJN`eh}w@}LDek+F=HdPh7?~2DDVN+Q*01t{+Oojo12Qbm* z5dVYd11Hz3ejy8k0&WT!>15UAU{b(c#!$9&bWZ`fZBctTxSa=4N)cvW6cJ&*9&hZV zyrE;zSX{SDbDcoMT=#BOhnz(GKOWgEVgg%yZWFBT*CdIfrKL|SZu`L4n4EJwE^(GQ zX19oyDK;U}gK<9vh11Cw<|F<{zng`VN8V?iO3*_qv!~Y`Z_+GCF+~brQOk-qOJa_* zZanQ6b_lr>9lX%aVCK?P3%hVwuUB>^&UOqNi^WDYiwR83Vok8vKLV*NDgsS>rV>1+ z5-^qYu}sz9#6)T#+#t#%N3JW5OJtEXh@@9awY}NGDVwE1bDI7P?@iNgdhx>~O05}g zqot8geB9)k;S2_wZ8plF98bwDb0vF~Vm%LIT)p`eXS=L-KA7Gm>;2MB#5-g26t>1b zL(tLI*qCOjTV^us)>wGl#%mhxb>4X)<268zm037sId_JCIdFtB8(3t_^SC4iqtLxk{f8n?3{FtDTo1Zgq?=z|JX7;a64sEoiUpH4(;XYH|JX#JG-Y zT>q1SdtqFqPb^#?5fue*5hgWjADZMWT`s9JEs^e}*J;ew7UN$@jPZoV_|pk6mOimC z-o}+kCc?puEPj8K7{5u4-{%wHCw*e!x9d#AX|L&P>3QM8A1b8eiA-tS z<`(BKC&qc7#`#MLaF#w6=ZMPc%#B`}<$QIhy%Z;ry$qQsOWsQV$N-oj`2Jz@2Bm9cdF!&UI{EcIsTGS>to)dmZQ^+SA3BX%^X; zIJ!axFOK!|hONpm5r2&LdrFj#K~Qo;44b?vBO5Ln&ch%y=H95XDkt}klDcHKMR{b{ ztDpEML^&1Q{|BI*<>iUkyey{7p#gjxwh%R#tCL+GCN z({MZ=nc1IzrRBl@2EU-plS_0c-Niq%ww8o1S;m4!ap2=EcgOJ zeEt#GXA|&`^ohkk9|ix2(3hgA#68b)gqBKXI zd!-t&5kwOuV9|~krJK>#1jfTLaHPg!+s$#a6aa>n!b`KS)|0vTezv~MwYCczVXYo- z?96=soiNrLHDd`x%vi5})zHpjCjiFhJ3;L`67Ze$v3wVCDmuK9;wB7S+>C$7wjq~9 zq@K0WBfYTw^_=d&aR!q)#lYC)8z=l;;DJ zLs#F`2xH&@?SV0c}Gi!-HGXNLet^l1ay!-vFPyTsmdIVAvl5OaW*0% z05%bsjPi(46|vZ{o7$DXC=|MzLt5IsDKYI%YT7-PfOgWy(k>$77t|24?s^K$bywz4 zB?2r}tY)1$xvNG{_IhP8e=afRr#0pgI1&iRi9rG~a(ad;B$Jh7;>*c9S|m$}kvyZ3 zEF_p-=`(Hm4A@9G`Xn+o5s$#t4X83m$pi3E#Pn0Tf*&Aeb`vR$Bs+BUN>;*a7{OBJ z-H9plW=)w_43-P44Cxb#G85;|;dHS&et~EW9TnibOCkXT2;0bQVL~BD@{X1cA5Kh% zvziXynt%?{Cl(#j?Mj4whZrg(X*WxQ|CpEt=QIueLjoE|pI9_Vb(s%*9LDpA5U0IL zZzCdMFH3<>C8of6O@U7)pn&wT6iA{5M9M_OuMLN+!}cUqZ7Sn9@(qrmTQ$(*mBsw? zi7|g#V;+Gcff_h^fevwCIjg|DYyg;}7jTMGGKz+&j7`6>IA$UB*?bgN)%Wi*2i81=g!iGM7Ja~dEwTezFWgtnvKvEK#>5% zVDV2W2$wXg4C|h8>}}~2i)N`y>TDkE91-F44lYqjj(n$oUq!d{jF4=1L; zWle#H5>P<;#G=3(Wj%Qn92kJbt?u%+n``Pg0kXWKPH2Zk@!AHl^m!~XeXeNw97#YQ z>0{}WM2yOswBpP5F77~_!iHR^&=8!JNI(Ld)V&L=0~&E6F19R?W<~qJQZW;oiioTn zi$qr5s)>2k5Hk{4IWUDYadnPIvOy(isZ(?+Oo{Ng+DPTtc%y1`$enezD3xQQB(C~% z-MA#sGP|GT(gLDg+IYX0PKn*#qC_QLlS#w3X_Ve+rf0AOrR;j?bIbG@ph4bfZZ~qw zuC^1&;Q{v|4vmC+VgQH(#AG5jR%(uXZG%|)@D*8!w8h&seLiS#U6?-7Cl-AU9S55u zgsKw|B+YiZj&q?DcTi^nNKUq8af{lx)9#igKa`kfp4T+_!2~psKCx)BP2C_!Y3b0E zY+8^CnQ3CH+?ZU08(IALBF98?epTbgR|RrRap5_aKC$pSa-KF`Fz<9e5C{D9nSMHT zr_P9UPC5utM3~Ote&+*Ny6`oSiRf}o)8(@X=3V;4qRWYAOkn_y$C)w!k;DI-Eu+rp zBVx(X3T0>&$|wbZWBsx+?#^JAUVPbPB6__;)9Wu2&`bJQdRa@LGpnk5-$o>}RkpTw z@rgD&!j|vr+O5$lJC5zpQEX3(>yD?EhFegrJDz@m6>&9UMZBO%xls=gO&SZwuh6+c zIu(l;Zkdjo@R4+FB5^L3gQ8eXoP?*ULB@bc+|MGiD>foxJ7l{tNMJj>;Yl}upwO8C z5C=HySjGwb83g1YA`4uyR#QJ#TZ_uE#Hi#oDu>NvEG!?T&jHhCfX#4bDwji9b8?=@ zXMo}Z?$;~T*^)CszE)COFgE}>~*G)Bn5R*$RQ07$u+Pca5#C72!p#g zqNUth5>w98l)GT4urTGMPb|t!P4WJu^4JGNGr&GbCWv}p;3=+nB^0|0BUwuMi77R$ zDdi=gl=QKbveIv1*(n@qMU3rT%(ltSj(VV70#r+@I0AHF@lL&<2ez?94r3D;!u6dI z;abqNo;S3PxM(jw>A^&&WWyUIZuoFD$ysysqP<*^&U;0*A`YmbTqbg2DI2!lrmZ6t zL{W_lr3rQiQpFK;CED~W+nDWr+PK)2q2STcV&Hkn2AU+<>xfO35U%bE&D z#4COJ1F=B`M|?EG5oHbW_gRh@!sSZXE5=4~hU@)DOE>)18yxM$khrFz*9iAgt`f?` zHk#N6j7;~iDyr(F%FYcuc1oqPDw&KQ`tq%|XXDvIW!wzuyuo?8;yjCsYpS!T1b}4j zV{NUk>Pu#?N{`{;H#lc1;3vcoOwBA5c)E^U>tMK6sDY!^+Z4qixTqG{lR>(1v!N>5 zqY%VDT?7?hqjcs^Vyfvno_^)$!{u_f7A{PJM)q6b5N@gj*Dp)}yM-R5+O} zSuXPlrshp#oVAaXg&<>>^lD^=QD79NtX8y27gDv%qjx-ZWajw-+sMopzX-g9Bg26c zzJu{=~{x)@u-(+2T(`@fv;l;>inBXEKkK9;gDii~2>$pT6xa}Uhw$xWg0%Q)z*zjR_@_g5-okJe z6)QVCjahW#WH>?J@@W4)kptSr+9F(0W)Ei<>-b#^@DIVGPi71MTOkHvv6!+yqmts~ z3v`YN-Zs^vVyiF0&*YfV@udPX;CW{ZO)24+^5Rhr3ddN^pzH+x=7N!ZRtXiy)6P5& z2wkUi`dXds4JGTMrt3dCFtl9Pc0mzYhHvj!O9_@?wxesTW%!C-hV)%tf~b>By5#kq z8M~-EG49Wy#MQK6D=@#6VIGX;6(Y*cqA)3A`{3EHjaKq5ezMK*Ak~khuVgfsFH+pT z%j^(E9?$IPRf=BQ8@*mx61_k6%))H{gNUK=ZauqSuLo$0lI=Q5XSp8JN&d|-~>U^ zYiFiO=fK<4mnia;7<9%;?J08UIGA3PlZ5k>h-L(3x}3_`Sg6X1s)&-#M-6bw4>mOw zyUB_D`#OKcQt>mfsVI{21DbrlX2>^CTC&X`eSXFC>9lJj8g-fsQtdsHrk+Mkd8)`q zM9R@VCeh4A*=bxt(aZTK`qBYxoMcxnxZ3)~3~*J;7iv|a_X|vF(w*;keZLn`#DCgB z>~=-GQ~@R|AV2L~{Z&WzfpixqDAdy>-;QdjUM3zXL+SI!X1WG`ilrVXmCBtn)V&)gODiJHY;xq~3v_iQS+i^=M}r>NxKeS`y*QuJfTGT# z+zGD0L=07xALm?3*#@yk6|@075k3=lY@UqRqg(2aC8qv2c1dI=HfX#5i72a)k z%#fWz8HW0fnJ%kLl!jGxk)hwyraI*&D-)BBkiA=n>bSUs@$IOi{)hbS9x(uJt!;QW z_Z8in85{~joSbjUZTOJ~9$i#38m>g-Ty3$y;4+uZdY#ofMiiZJGb=po@P69e!^QCC zTFQJTJC~t5nsG00@jT7K${^g_vsEFFHn=H!C2p#=pm%bux!2Zzh_uMP;VNCVKyI7A z5U!Lbw7rgN!TqaA!r12J?TY|uBeXbR*lS`K)FLAN*2wj_t zs$&^*%laxL8Wn1|QyJ%`5!1zxTh$X!74`^laeTwizyq9gxV7yhR?m%b2(E{qRj3+}lLy+?bsn)CE zDlWX7A%lgEp&_K&Y)q$)q;SHp6>e*Pnc>2<87^E)_d`<&WoX}4xEhCbQQ9yv$`T%> z6>jf%(=kMG77P@wQsY_}r1!S=7ag6$HH1R|Lir$32{^T|L!j^K0mbw9eV+$TUysNn zZtunY@QAaZ;&cvm13`zS%GV-_;MQwf7;Y6^nw_za!u!C;;Yhw&u4N44fw265&ZyK; z1Dgh1%}@A*22>M{>d2#7;5GBr41(2ov<7RXifgl@J()|e%5LEJGh(RJF@xF~ly3+` z$Ros~WwIdrhr*RWhEBn-9LBp5-7G`CG~dL%iT=Vz5E7@Fub3MeEsrT*QFmv}PcZFT zT2EVLJ! z2q^_1)O!A{e&VWf94Awx-42CEw=sEjwcbEwCL!IxfW3lwzDJzz$kuXT9^6ySQK;1l zhIJ$=AQ(H^(Y;ETj4B@rCCErBfoIBD6mt(6a{$5jyaqn95l*RlJwun9lrp;PAcMVD z-`x#nEln%2HXkmc_&KiG4wox&!uPPR!7dhu?KA40b7q{i01B+tXfoU6)!p@@;cBD; z=Gm*Ea&MFbHxzE}Y|1BC+b@=0bojue7-Ial(&2D4e++BCm*3j`si?v&{wV1j?Cb!S zwH7A$*|-ubXchkxUYjWLy$9se_{)6wll?y2W4u0}ZiegHa3_UGH`Vu`Q}IXext^f@ zpLo%v37MAed{I&X#3j9no6lFeLAZ=ws%N80;chRULr?!h#bdBqiihZ*n+TQqA1`jB z6VIP5{u=$~%f+`L>x*-@i|Z)7OW9Y&_t9UJOHe$HF^XiI6n~AL(PmijJ+SFHI#v7$ z`is2&;v1S6A%7R+hP&%NuC8qRY>^9;eYr?Q0Tg1CuC5THgfoR0rB5it z$R1OO(f*%8i~@5CF$#1rVnsHOAM-!p{|IiH{*3==|F8W&=fnAY9WN)77wMW>P6#W~ zEv}rsP^1e@dDpr~S9}&}$E`?LTyjXPNLM{_Y@tZk9X7)eV>4jJiGtxsuAnM=k(g3X zNcTuPwH%{QR6E?u2O(C@R!c_CanlVQ4^8W#wh@QqtK4Z_+xRde>WvnZ!p6?A^qYIa zVQ5Aj-Drg?a=2Xsf(#l4*3q)#C@uxD2+Iq`;d{Y2XIBRAZC!%2$8`dh`bbK%s}WFWC=*@D6*LGHEAu7rtO{0azz z@xm2`0xXSJ6e_tAZtH{epCJMb<2Za3u_Ms7b%BlX;WDn}%LJt+EZ^HLgdkfV+;NZk zzi=yUgpj`+jBA@Kz@36xpFjD7C+@xHl_eisb{{wq{}-+fYJQ<|GY!2_fuV%CTTX^F z*{FuzxQpJM)fj~L&|Q$I1D8iVF#>LtvAcEuWm@Z)?!KO`QB3I))^d?o;pV5=WOOdm z#fRrQ^X;*(a|H#-(4l`r?F(Yp2s=Fh+g}?FWegHnVY;&sSW-hvyg9~Z-&bn?hG|-`K$dM=hyA_w}+R< zeH>03Z&b6Wn>HTQb2>guCk!H?;^?0PrZ8Qo%~i53f2+R|r3|rO463f+G#F*CL};s4 z1(AISq;ZjGSMwvU!;4Q>P}C1Kv=IiQqda`Ng^K^9av?>}8r3Q;4!}kkUEhMMqHw`1@P^Lxi=z{er)PrqO?pw8TTukZ-{M9>M>1 z<9~auA@w8WAHWQ3zzq0lP-{|AN@ktbQsl;$;VbFOY3F3APzC=i!w{Ro=p+02Q}I84 zg1@}u{Knnt^IjXU*z~Lw)RefLfRD@U>JirOX5g1JD5Xl{gaS98oq zUqNB9d1oJN_PU+yVV3P?B_rYHzT~B%$9;%_UIxl@3v=04{|4r#){f7p-)w*2cOu-e zod6U!Jxf72+ONJ+MGXWc4uh{TvEi-$M|xvO(q})SMjea5V7YM?1E(->szC!QL<3$V zgyVcTnaGOQpja~eVUXZoXjU;xT%kwr|Q;1ui?J*G_Q zPcDSX0bug+g&OricQnR4kLsm~3wxUtdmSA=y~$aM=U~B56vp!Q@AoIe!2x6#%_#|y z%IQy~D9l7xrz2QMp8_waPYHE?XCcIiI-iZf@Np=y4Ydm7dJyuxQxq?u?HszrGlKnB z`eT1+0QTE-un(k6nc)@k7+x^`avY4m6a(WJQ@`zU!>c)y$L!QorWMb86k&F1`r~|f z0L}<2BDOMVCmbK>M7g+?9FYap=T=piY=L%I2*r&&-W@FcQKrW}6vv}#gJg7o98V&& zaTnsgXP(dr_sJox2EWwJ|$UE%)JIy!(_5S`$p{lq-x zlc~J=q)?0uOZ`cqStcgU_)yjBNwe)tvjfMRh>#)ny2Nqx2#F~8(T7Bf3;D^30W{ji zG&+!q2pVE46l;Nq{uXs1yfOb;R&^!eaMG}4_JcPr`CJztSXp&?7Q`w&SSu;>Pv zvnwev#tbQh`$`Og5aGTYqurgOyYW;LH4Is$b9xVlZK8NTJQ(jmHtoh~9-9R+r4H$_ zg#ZsxY<2F(-;j4~Ca%wQvgG|_A=pPwSP(2<41w!?S80}sIs+T;z z%N8d@BaH12Ms<+AI&3^(9xaX!o?EQILKvwGQ(1du_!OUu7FB`yLMqCqBUvbcwLI4yRq>>Zr=rJ5MF3g^G zrVx{(zyQVDkaF%KJI6;#0R7?OpfNH`5sQ;ONy>1;3-WtZ1In3277v1b*tbK5dxgpg zB1Gfk8h1w-FgTgkq#W#Nz|kycDQeCDP3jMSe*RVGfc*q#DgNBgP`j;(1{G3!Nl1X2DgNKP24Gy^BwG# zP?c81mr>Rd8GX2^X4V6S2PTdl;^Rt_hxQ*ipqLQ1-$2D+%LJL8IH^RTEe=ALX%C-^ z5ab%j10|F}5)>1zf&z%BJ3E7B8C&y+^eHe=Ky%is?{tDDK|sSG!`rk*xv&~?aeB@L z2MTEg!TNXed#N7>&jUng0Sj&=#}j1PG;w zC1{1nm?^pq6`8EKcm=Vmyo#%jB0#v9m?NTUex`%}5OeKyXl`v6JIONb@y2rZr#eO- z7;P{90=3?8eupr)zy?cuQ~32?CG0zhcK1+T3*Vibxd|4J#Gu0mjw!Z3*3I@z$>M(j z@}h)_ze|)*n+R(@E#$@;qz6x{=8NEQ;Zod13A=w=28s;a))60+$1Z!KshMXg7V9dEJIOzwfBnM z=`Qpk2aBI2#A#QCxn*myjZ;=cFObUqs0gv2;6uJ&?hF zhLe#0kp95KDvOAd%Y>W@$ON&rex_qp!Bs2)5(R_p6#dajW~=Lg0u}z zT00_PWK+y;-#vbXEj_+?k&@ZZDYbph?2tnV;>;AbYmtvUm8)Za);SBkdY*Kit~|9V ze2t@6%=aakK$yU4c{|wpERLfql)zB9v@wHp>RJ!9p|+4eLYH=Qy=>bwjS4>U5K21R zZv(B*lLX?{;*LoqY-FUwA^(p<%ryfB=%7T?R$I@knxH;uZr_zE{Iz6by5-~bC>54{ja zV|)jFAragkVPNhW+-t~`Q`y+8Tg^)EeqpKovBXgS=-q{SgMyg6g$(kuG7P#fNAH&w z`d>~A{V&~J=r?LltT*_5-dgzoFfsgpkQDxbdZ@@Zfp6uU$wB5J$OO78>rD2ADKLAU{*gYbbQlYB2hs%+{F|XaiCke z4@)t!81+vJ;U^N)?_+lt!o~Z&loe+D!$S9~iJ|-Dy9?dYNfH$Yg(u~wh42fBA^gLn z5WcPpad-y#CkIj!hbH$6lF>&N(Pea5Mj}>Tj2QV(8A?W#|q?q2nKx?{bNudm$-wuj>Naq!t)9=d)GTaj6L` zx1+My`n|RU;48rrEj+pkEat+y%}rm!!sCm&51MK}gqU z-9-o&Pe$3Be^}`FimOD>(bZOW6S_g7;rH;ZWJ3RQNuhgP7vBnAeAN`TBMY+P+Md~o z_)20_zZ@UcFLBes%WMhnH42pamxXT=mC#SbDC^N9CZoiGPgYjng_cST;n>}Vu-&g? z+wE{f)162R;ndxQa50pd@jKNIJHyW>hVHqf(7mpUZR?Cj>ug;8Ck5)Krl~kWYGT4T zNCVqgQt;gmiJ1Lnd{Q*I>EOjU(5w5`i6`nC?=E!9CMOOYIe6H(P3E_y;P)qn@q6zs zj7tyGVmu=9OnzDje>O3MKYe#0Bs22K8z0JiM|BXX%sa#1-gq7ol6WZ{q0T$%96`nctRzk0ge1=iP-- zg*T0?ke?R9HztPg=-q{I*<^Ym8f7uREsU2F!+0?%j0u+G;HHZyBqW;|{hNl1Y45pp zb_s2OJfSu~)Sk8N6Lx2^@M%lbsM4FzL5k`pAeohtS9`U#Nvy>bePqY^osueLa|7%b z{U0#LIm1nyp6`OA-=MO3Ia2#oiD90d~ zvym$4{j>7Ey@Nz|C0FUYI|d!RqpWk4#)a$x5+~#R8d!YpJq6>gww>_q{3s3w(#PTx9LyP8xMaj8mwIzv`Z^yP)z)A&2@-dznGG-~v)K z3MjR}r84lrY`s})AXzqtItzX&_IP6lrvmk{ z?Tz9uQR^M&CuK1RXuKFc_*FTJ5noxLl{Iizq{;6lBA}Kgy$R^P{_JHZzLOXW3j_o7 z&uWwxusZ!llvRG(bn1V$`MLcpATFaCBdv`~I#)g*0r4!>G?f{Klu(s19hYi|s$&?G z)`#jV$cdZrZT2@x(%?tVBjHh{0xeXb7!m<_^J@Kbx;drlmyota%O1-!z)`SZnr<4x zx~6fb>rJdSJ|LEMc;RF112Qj%fiNhFL7FR(NlkPH*#FR8fHtF)OV7`bSr)_C{%1 zv3XR-qDv!j{DTi)tOa8L;?4(K!T{Ebw)O0y@ z;ycB0>f%?H(Y{{%4wfFLW77jJ;C~kv@UYP2gzg@70iSy}bSRzb0;9pFi&n*916ozZ z(WPog1G$>{)?HOo1XjXkG0~zAD z7T)8db_^ZPps`YQYY67yn3u!4pI1Deq(k3nl+l9`^R3N$ToFCw28 zfPBK|8>sxMO$(!w!?SmBG9t$8GaamRSB%+f9fJ;38FGy0sIa4e#QOaau%WVN|AkTL zbZCD@vEo1o7+=jB+FMaj{3&RBG4$j#Otbw#Bx3XjV`HXv7ICrWRx-J-;3qFFqv9Yg z0$8~ef3_W-aX^;9bSwjLCd(^-9 zPiGD+eFVe!Om2vCQ^h(Z8;4C!A?j`gFO{c&IHqcFU}iCpD0V_e z_EoK9CA*oo_&PadNfKjHQ4P)X+Gw+5frB|b!{(z5%*#N9TCA||NV5|US6zxO&3*rF^z$7fuF@23(l zuIUtuai?K-RLi&rTzS-<^Rx=di{T*=ddNUn30l^1ofla0=%ySMihnVeA+`@W+~s`q z~`>EAbh^0QeUP7{YY2 z3=#3&JGPx7;iTfD_(&v_R7~M_F^zvBaU`SPt>qiBYCrrW>T9Epesxx}7ota0U$8xJ zM4?|qWyqUEv3XQdVc(Sb>4koqKgydSacHER_6&Q)gve09{6+SP3`d4fyjB<^-k^i} z_tC)YUGWA-I|dyrD)rXJabaZviCOt{)D?U!#IsB+|kS=iY z5h7F-9!*?P%{^OXP@gJZh_H#8QpEG#h#^?0-_alzwI`Agp2K7(h3XO12GsHzTr5}z zv<5e_(7q)$wEm;T

K%9P6|IeL;@^R*7HxJ3M!~>XuANQp{LH{Hq;dOrl$wdx=DV zawgr%9BdlW6}Yhq`ohEt%@kg^qd|Gndk$;K^#8N>E?{z9SD9#R%d*tAWyy|h5+}-W z+lg9jb?IR{F(OKkW!aW&Jz~j8Cyvsp?yBypQgv0k9%^+Q<%Yn82r48bO#&f2CPU!P z2TULXTnHgU9v|=xj|(9)Oafs-cnpN$W-eTY%nbwg|JUAY?|n|4I(M z`|Q2;T5GTOD(40h;X@DnA%)MhgHI+2iumYWnsP5?=slx{8t5{%H`))uj(vj(p5411 zicTCnz#h_ooP*5m$wy_;$%p-V-!k-i59@lD+|*ZIuY1X_H{+05Z|dyBDKQ}>Wt$=2Wcr4df)H0W|QbZ%;IYGNUDew&54L7P|1q!zZtkUp&_z*m9P~H z=Yf?qu0V&na*iq-Q@#WgjU_;tGe1Dibb4%?5{Kpg~Ibj+YTs2c%khUs8NW!WC z<)+?h4CPT%`dtMAU?!H;elA?BU3^&7ku3v)s=mGah2ouqqIYExebdlaZ~YAL0j+BY z>mT5Ew;nmc$}ftV1Uk5+bC^xO_6k$y&Tb(M3$C!7=xU9QuU|f(U_C10)lp`YPHtPz zO-*)-sBnmTR+JJQPFfWbk^5wA6^Q6K7X!(|>>Ct4Y}*IgdODD32ej5Bo8+9JjT75& z+N|Srr+P-}Y@CK$0YxKG_O7*E>f%90aLS+5Wiy2)p_{bJ5DefDkPv}1X9BhvR$(y~ z^%;tiN;}O%rh^lDoC;xzj4Jzk4i)-T5~VZ8Ruxw@UpB(oM_t)NiHJHQF@WF_j53fB zrF3BhhAC*WkZ@6i4;)JF;9py}a6bwrq8w&iC$k7sMg>1k*4uYoGzR8oyf8+0lX*4D zi#THVg{EVPcALUN=_z3d_>vuZ;Hx7%t2F>MG;a{*eQ-gq;?^`%}C+Q~|u&|Kbq&7fq%a zRK$BN8K>?LwUEj6^hrG(ybk5$a&tSDn0wOsT^0_96&QOrrZPrv4M}60!QlUxiG5)a zGH#w#A+d3kE#jNkTW^?gFu3lmYJf4i>1|N1t&{Z^JaueDAG(l$VlzMlDzpY83raUS~mwm@HhgVN=# zc7#w8?fn}ZlQ`jd%9pA*v)Mr~LaC}svt*(x#PAO>%*YlZIEg6*=@F*jFzawL3S^;G zg(ND{rXLAioV%hZ!O{F+bCLCrQSum0Fc@m45jj$V{Z5J^8dEXFJtNW1p*1zd;?5#u z95!0rs|?{AXvTi`_T=6@#kDu4Y+HUa%j8iU!sFxjSI?DEYniPjRmC-ydKkiJ3xkL> zZzAUA=OOR&ftBHl2q_!@lxXs zX$lzV6p>hC9TFiHZu^1{Vc%%==^6usXeuyH09LYlV)Z0E5ERCW_@)#$i+YfJ z-id4HBiJn1kD!K0V04uel7LF+K@z`QuTG=TIEc|$IuZ`+`x9s#_sQJg0p-w7sW|nX zrW@53} zf!#~r>Rw9PfrGY!41lp3%0v;|I?3f3ea)-rV*p+TQV$RIjtT!Pmd=6!BDhodHn>8g zDE)iPA#d0sIP78>JP|`Fa}sWYbHBdCGh1Rc+fB4mZZj_eX=eUG@SIytS<0Z>eiOTi;WPI`qX^!lTtz2GuG0Hg;^lot!`H7{XPzH< z-J;KUJRCy$xEk{3`1lE0MR@`l%N!7e!p9MwH`1BH7?&s#%tJy!&JLqqAVQQ%A_v;H zC#0viB4QyrO8m4E1Y5aKYLLTDzosZ^BvziSh6=Pey~Zr#fa8&AQgwVQ5#VcycC{+3 zZ3b64n?{lONMfy&HjTyr>Ho&bj>5iGNX@V@9)0-aL)I3zP&}}ddUU=wfs1iezrG)K zisosz{8oP;F>EdrpHdXpNePPo!*g@5JS-I&`N_rs^4*SXGB-eYzI*AN?xiHp_pXE9 z`^U#0DbI9Ul3aVhN}r@Fe^m(p8XdxQX{ZHTH}-ciU#EltQ%WsHl`3+CTj*}D=`?6v z%^W&lKBQzcs&y85d!Dq*v`xd_oGu>zN&*=ZIPPbx>u@-pa?9__rxL?vf>_!3X~l7! zl;HTcJ^gU=>(ZI!$2YgAUvj9E2@JtE_fjr=`_JU#R!7op3Ux@h=uulq6c?2)M7bi@ zZb7U-)}^v^(ZS$9X(3NDE{V>UixN?0U8}^#C2EfFniO}~EITk^L2RNkBw5Ne^F?T$ zU346pg@9wu8hf`>te-)exCHS~%R`S=ev#TC6i&90Pi4w~mcXny!fxpUgyL(;9lxz# zNer5~LyE3NMOU4YpzEi-BJ+(4cMlm|TYiLhVENJz2=89<2tQbSue}e(@7nw6FoD&N zkp_-Gds%4k>wJkB)J}l%g8bl@`oHP)fHb4s_-{$Ytzfrk%-xW6hU^Av53vM8b4L-n%Is zUV&fYg;&R&3UR;0Mh94>`QVDj=+VR=*|cswC!-rH!$~7FVT5)*Xn_w z-+81EQjQVdB=0M-#&v(eZ_)j$H@|nWj?Oa)+x;q&fEvtv)Zpx}Fkm?wdmG6=z)ld| z;$wtNep+n`kW{z1ZGf|}cP)Z2aPZfsrt8g_Gr>!fZ-*hSRGy_>b;_LNV-!dC(&CRp zo}%m&P1SpG{3ATVT(E{+MT^45&jz;9hHAYyX=#1t*k)NfVRz9nl{A{ z9>!MSn*BgwM8?|RnroZU`2~@d$1uI^CZ;=(p~2PQ_>hmFL7}|MH~cE1F|5MAhp1#} zJt^PEjKc5}xH!aEo*Y9h;K49`%oCH)#}YPbvzkZBP?a0Of&_TcegUG`dl=1PAZ5O< zFqH@w$MU8Kh$(YqFm)eB<|ewXrk)7q%dr=ted&)D_?0Pj_)fu8z!sik9)|n;uL*px zckJr73;bKMTG=!=*Mdx1<}b*$eZ;cwHEcB0u!fDoKESe`9&9um8&MM#Fw=HM^YY#X zl4BPd6?#Kg7nb0mZQQxs+jwrizPG(loZ)3rpIT?j5{Nj z3Y7U@@W=cIEVxx38Z2)jD&SBM6>#qd?S{SIZCGGr`b+qCMfzXF-043+hwiclC!$V= z%v&XPhMJ-_3yegNhKi6{5#%R6e+kuRgDZMmsa^Q+!=Nq;;N8ZV4(`81z26A+ICJqH zVp5HbR`vu(6~YW?(UNpUKBy#NrG3eLchieyM*6fOA5G~(3Z5&=^?37t zetEw(%b?9Tr|c)A!zqn=el)0Qs+-9#yO|6oY;F)O4(_F2bT4I? zksmm1X$o5ce&p@M)5V!HjL3m!B+QSeZGe^pMnB_s5?`m-K9jmN=w&KT>h8F|Jxu=M zVm9c0-Jn19E4-=qs!LpepOg-pf1})t{>05_<&APL<=iN369{gI%{pPV8DrJw9*}}; zCX3mZ0{x=~jLL+fV6u6fvuTobpBWG+)F>H*!b_4aKsZ0x;+MfeHn zkoh;u&E^U>o6J=RRk@dPZPuaFq9TgEfxS9lbZ4_w*dk^W2?<$6l6GvrWpd!+gquO> zwAAey@q_Dbg_k^Rc3#Y8J*b;?hXW7%-1{zV6@E@SYX1Fl6B=_9T6w?ROS$&z=xG}d zMG?1+9eWs(2t^JX5yk2>;S(e^FgKb^q1~GRNp7G?_DgU`x-o4Gpxy-1s4qDs3o2kxzgtjYTz zB`3@uGf1c@fHGO0LyaFeH1Vg(@FQy2qM$rw9t9ULg7TOcu7EVgvLwce;5nE_)a>%e zv4;=tjh>)rb6y@haO~*GgOew5&7P^|@}Z+APCoMJfs==h9mTDHi|g&1miZ-gOX07UL0lTNf_+FvbR zD5F5cQCy=n+OIiXSOuAdlUQ0)L_w!}H~5fL<=sKu z6Gz%P*zeG(#g4`wxFY>%GzdCn5mZme6P?yEsSb2p5O<{SP@SLeHmaSa0{qpTDH{>! zT??IuVR`}{j<~b6UZ02K2oyDD=*Ate)`cWPOf?YeVK0!b7{CPk(_U6;1AXp`c5RQl zkF1k~M6Xy6%@;K$OwnOl?wlhe)k~C^OcXeb67)@$0ME8}_4pZwZ*c|UopIV+^1WbT z(U>gEdYZx;h|vva6*g?008%;{oW> zl({62*gb8wjc@3-=wUnn-~QPu+96N`iOwR$fEg2zs3BHG1rCNn7G-%o7;enS8FIO} zP@OtcUYe>Gr^|KhtB0j=`izb49Nqrdu2Y5X0+0YQ*d5X6)c)g#rXD)@dgC|*KH)uZ zc}2A`8JK=N8El^)a)-MUKzLv9yMMsWYhSa?WpIg)#in}7JZe_rP#P0S;?Y|oPVg=0 zLKCAS3j^!zas#NiwML_9p4=pC*JyN&M$1c2IgL6I{tqFHtcD1GxV7anmUj7^6>gHw zz2Ss-Gnx_Oe}B-3LyPh2<6``cSz>%R123z10jG8>=D`CQ!-EGO8~s%3V@vZ@^?UQ2 z11z66uOQyMJH;AiBtL%cz9pR1un`>>V?YE!2S+!2$!(RJhkeZpd6!?C*We1z-Wl)N zJN)*0fDvX7|HbWLpb9;4w7KX52i3vn6rr)xjL)(4NRpO})7y=_>y)0hsxXlK?9#QC ziDV{H_VCdzUUhlN3X=$g|IG;+y{O(O5*bpkiSJgDyRSOaaZ-5#RRj^*DxsUd;6lS2J0d4U zQN&9Ahetb8)zUc|{+0P`r-=Y>>KmQ5c|7xJ(J!q1%xDHHJdQ{-c`k0ZQw!MvF#uEJ zPm1>z6oUDXIZa#vRog^U0*cg}lyj+BFp#vOi zRp($|sO!|^ws0i3WQDT^s2yq`%7W?!l1e1|ACN-mK07KgsR=N4uLfY(w@-2>A|IL7 z_j2349d3iFI~2Yh6a>>;StWisd>NbK-qM*eX3)j4nUFldg$|T*Nxs{s=YV$u8x7l* zeZqtdKSxwSaz7uO;;4w59 z1c1~pJT{7{)0;GU3LguBD=UwEBoDl#CnSq>$?F3?DHdh>LBL)fwV&Hx0sv#M3hdGb zVpUkY@C2zm+6PU1Z**I9sDY+<=$zG$Z3CxZ&);T4CNiu0K!);q*xi^JVhcm5NYM8Y zB8{m$3I7g*8NE(^U$e1|I0+gMN04NTw4ki3ig7HVU(Nl=5*mfVqts)GNr2~!y@b|CXGv@onw+~w#uh=tLPPh^h`MM6fuVUB)Ovg3O*Gf@2=)z0~t0<6{N=XrU?oGdnU!Zw^Uj zv^zxBK(h!6Jk#UyLMhaD>+XC zkSGC1Q_VC zhOr6;m8uw-(c5PRw?!OAsW!SS(fSjo!kj6^qzo3dJLEY4-w+gQOX{wn%>0TQB9pgf zh*Zd{Nn%Zkcojh$H#>q<4A}cl9Sh4fDIyR-LO}q=Vz3>Fqp)V2H7O#G7?nz+Yf{9T z6alFtwFQn6n>m<47Q%i`Ezlc&0M6Gd*~)OPIAcor*3w7p zUD-A^!l|BAob^8j9@_h1gkXlz)MsdBr|mlZ2X-l6pPXl;sL=+O$qkShR74#BB{5Wl zL_cX-2DJAigAs(ptp3TDj42pqu*XgrTL!)&9WObqfW#OX5o!RtgDqrfbP8EO8?Odw z$uS^m<|&hR_4iob>1`Mj-Y4_|fd0-8#%y{HD`V4;xra78Od$4EdEmCduxdbMY@7}_ z@)V4(ZvE)9ZSrT^+l?DMZYJIrJt41fzel;*qkGYHyN-3;#=w-;1Rj?JEB};LweaBR zC?7*@F1ox#J9W$prZUdYzZIDN{F{N*HS0|v@R09>xXKj;!L8A4c3stAVdpgv1$!<# zrp(FnkTfTvEYAg8Sd?*pj}d`_kXRR;G=_>`4l+t|Eb#z(zV)u+a!hhe>s3fR_b}i+tG} zV+LUhsMH6EW=yAP;bR3YM9sgkFl8h((DPXqM+9k~mHAJo*nswQn5L`fmwL^35 z&;;R0VQ9$+Svxe{X|r}{ih%5R`r4tXr;!86v-Qw)cDL_`p1vw}w~zje*xlaaY%g(* zf5>1(8O_+;-Zf~%q3v!Xal6}~8Ok+1*|&b~jkTtor6{IAR6sGqVNO zs(fa)Yi*6~=+QRI#8}Hq;;Oe^{911F3(ROA3Cw7p`kXVP{i*}}MHn%94Vwx;rP-7g zVDvwVbuJ)aD&C`VMD%DxTQtVD6$(39_+=-{kCzLbbDeEFqHV2h+Zn;atN|mz%7FXi zLV@n`vF!?xr~0#wkUj@!tqLK1_Ul4Ozwe-bNrWV$8AAHqK_d=LNY}&(X?-Rk1v9ub zjC$>Dw!ny0oERU**a$hqT(LBoaz>8qpPV}I;G;($nmTdl4F@3x@7{&~g3HHVd+?Em z_aDcdU5YtR*6tB047oOrAy;K$NHBv; z3>iz~L$M^bp9d#%Dx_M{)O<>&fh5eB!F1o~Tp7)!t2@m<6T1s{Pt3v(TA5(=rgjHr zF((U9g-!fN``W%y+Tu<3;{EJyyz*OtIKFT6q?r17OlV~s6d#n}AaXWlPVESTcwp2) zvszkGO|(!DBt&8`wUE%qrirkw2tl5RXOoiqttzUC%%V^Q3VI9KAaLspOl0%0oiX|s zg__VAs9hM18&?tw_9o$daT?2plX=ZrR)aS!87lXlT-(2I(EW2vZgkTs9fN;&NSNG9 zFdo|hUZNjYMl($AMQ+5E*h%lLfvxp!YrZlT))9M0?OwZg-d#vu+mmwb&Xj9+rCht4 z*Ysq1x~JjA%5Nd;wjNe!CO2iQx89@+qir&rLgnK8ayjhS7}h!5I1ffSQ3Tsr9#q4? zeCL+hJ#NS1qEPQ@DHdoyIk=obSl-Y+%wh?qxPe;?PE?N?UeIS9uiDV(-=_HacT?v1 zr{Kg4GS9yi@wIbXbOO=mA|L7LS5mx%dx-(9Z2utXw}H^@C2o6Gs^Gnt6ukLnK|+G9 zUDg#{?L9pocZ_EaNU|#O_vMcZ<0%b5x*-)=8O<=B;-C?S#;)t)*!6-;>$M5#m1a9p;rKkGv@3~F=-qqUF>wiEt^?L?w z!Ehq8jAl0V9d5*xsB`j7(zY>7R~R238Ik67R%W#xT2>=r8^Bh%f+G3!0lAQP1gr0- zW{lK|nZh=z#438iS16((D;rP{Txg;{Cvy(y1*8%_i%5Ua{!+P!v^_+Ymk{E=fGl^m zb=-5$j%d%WJ$Iq8QCm_1&>ImCKnktGhkrjrPH0dQ50PQIqj%{UcMO9S)M7zdW={kn&{}G_oNZqs; zwJ$3Vfea+*+OMN_gGu#-rqMiZwdU<1U^qp{+Evjc5$ z<|=r(VtmD{tS11YXS~|z@-GKrCNxwLd4T*7F3)vAk3_Ua8x?$zCU(qqKN3mG*pVF& zubHvZDmLKGW6lZn1H}4cAI+ZV_94t4d%;R&GB{cx0E&39g*1$LT<3mqCyQo8qDLLM zU)V3SoNUWyM^s=~!?ZO_d$KXj%Y;8k4!HHO^29!wuy#Kls6BumgJi+l!+c^uAuBWR zEwvx#XVMgbaWDga9{U;8ej#R9zP4<7 zD9TNKk|S!D!LE3!Up(RJ+Vjb zGs$FN^s2gqmpsaR-tMKw*2Ts8P-B2~`ip^edi3Ap7&iy+e{%Q`1bN=~h>e*viOo3m z`ov(VqmJVP#jKG)g^(Kb+CgJW0Hnx7P$V7e+*fBXzv};*d)2nI)8X4wmz%#b^W={J zc5EZcK8X+vOmD9gpp?pJUkr^+j`5-#ijir}h=XcIUoXhvZFB!{PT^#$H|K1;n29!K zo|)^-$g)hxQA4;&gLozfG|#m5d=qVv(KeL9fD$%hk3%a4O?Rtx6u9j!KziXRsab6< zfo%r^ju6WxyLRcK5@Zc?hFkNPStr{RVP0sz%w4X18^tl>@saq`snFdk2>g$nZi!P^o1Z;3_Md%t@40);Nd00qGjtCDb?u7|16Q26AdhjHkh& zf#yJQbq2F2p>qXnBqo7Z63yFE0j&vZyggvZRa6`C+C`whg}rH8XtfAE1gvk4{6d(C zu)o=Ar#KCDtg{54MiucrCHa+WoIy=8R&Kz-Ce1w1lKv#vsPs&bG;~bBSpWMMR|4Zb zTdd=Y*eLFU0Wf$vv?O71PWkh_m%{iWm!nWw@3Hf?1T%_rv=jOcL`qo)+)T7+Ch4T%tpDb-9#D6I(l;(jw0Ozm@)>2 z*m45!>JRL}e{>jPt=xr!XWUb20EQui;cu3c=sp;|D#C)TEruu1>!gg2XLpb(StbWc z!Xh9N!F&TV7NN=Rvam7n$&wD_RBfCi+C+T2WYutjU|bl3sWL%I znfRF{PX+ zgZxa$T5U0UgR)6kl5huNmF|v)jTWK@n~Q9VP38cqG5xZI{9!k4br+1@XZ2;L84Dw^ zx}X@}opudwqsEEI5xGfxE6%i>11Xr0S z6E+1Zr^TGd0;giYL>GW*#l@5-fs$?FJ=|*3mC;5;c4jUm>L`nKoIA1Kv|t~13nG7ShzY9 zpCdB344SsNNqsq0JpS$k&r2}UK8$yawEvDL}w?^Z8pO+x8n|o8fAFA?IKhBs4nJ|#c zsY2c<3V$Ga!UIay-S?Fvudwcd$~7zd3a%kjhv}Hy+EvtzU-Yc(*K@Nn_zSKEtD^38 z9dw30f9d=MpLSap_zONCJ6h}-S6n%5*hL&LY|KWNdb?TgimM$*m~jKk@nAxYOe@|{ z)xuE-(HusZxWo_~*Yh~a1nQJKnu}B?q_Q7Mv^tpK6A)5L5IO3IoQJM5&-#T}g6MGO zm_Z+rXYmR>eta%Beh@LJOx~4-7`2b1@PhV=GEL9NGQ`nOh(3ux49Ec#lkPKnK|zHf z50F{TK?$dH8pAT23=~@#B>{Y)+6JxA2o%~&++vPB_R5VpXsi$hrIuz~%BdHZxc5LQ z6A{2Ka#)HdKq$o);0eVTh*F)XQ5K=dgls@etE*__74V6}AP;8-^immm=$Oa=X2IXmSP2D6Sh(UlwKuH~C z5TxLtxL9UUF(nlL&Qdrl8MhSS0AZ~J6&D}}T?nrMEfwd{jiL<;vdB>h=gVIua49Z} z!FHX!-71=`{GdnQuO>d3dA6wG^5q_bb;=^CeLz&+HH-sRJQFd_@4D_JkD5s!OGBI_Qcy*rw>(R>Cp_)76SMMR(20B47wp%ycE9sDX@b{s@yPQc`yCHrZtrb&IuK3DGiSu7{eZ91!$2$BMOM7j z*7jt$ULD~i6jZ>!Bu0j|rD;Eu*aWTNOdP=Aq2PQbfh=zB^0uxj#7Rm=&i@Oi-TVT% ziU?+&nZcW0ov9)+$hnFFnbA0nB_bB{vw97OrT&*RK3WcLMO3gY$YmJS%mNkQ)nL{} zOb;WP(IsBk8Ch!^i6G^9<)+ZBW*9^)c?#fw5U%SJ9a&PqJX2ZV;RJ!lS>VkBc1wB3 z!22E@Uz7MiE_S%rvqPPr2x`+JsIB42lZ+>R_Z0eisI1IPf~|XC2xbzz=9$Uhuk|*t zFc-S8l$UFFAkeb69=7Y*>bd30`q~8kt`+bDifipxpq_%o1@c^~QRC0=T?$IaTbf5O z8+d>d=5~aZ0}3$HXeh{PW3ZajKkO7Tt8h{4ObAq}yE!`%iQQhLhtisfAOpp8LQs4a zVeA1dgT$q8fN~=ww^D?gaIrpMf*4wAz0J13u1c!9L8y3cEY>6O;xH^oOdYTE{Kun< z$Hv+g2s+;UcTI>TeI~xZpq9tTcjNtC_UB{=46#bZt$hRT`nA3*_gZ20n+VK)ul7ss zIl2wZesA6nb4Rm;;x6#FH|uASVZ8{E9b`a1JevQs>B$2Q7fWJLph<_O3z#${VbtLs$)G`_n)>q~Yw82v0x?x*N$V_Ai3xP$Zy^ zX>o=oQUmRJ^$dJ+04$t}fHfk2q0d`2Iky+CdUR(q{x0aCMkD|LsATqMiJcTjK480Fh7*Jr^wO^+~##F5VMl0%!5@v5a zxmK-HZ)p{iLA12WMlSUT92iD9@!;xbwA(A$poM^F$*Po+HJT6-3Ulef8b6oV>bP+9 z`~xYwp^{PhO^-#tlo&dfSaiT6l1@#;qC+AUJ;_J_2VDXU;H7&uB7)x}1#*7rC)lBX z>$qs<-io;?cMyW~hvhA7P%{L935+qLT<@YM5F_Vs|op*o51YaU+OrrUD|K zk@JOgA$Fqbo8^dMkbv6Qg<-3fCE0jR&IpY;mMR(NU^%@#Amn{UZ=nzed4o_poAy9) zVK3+6e6tG!7&t+g2CM}^V?yj?GuA-mh?&;{{V!Fw`Fw)L;^h0n!QfLO z&U(aS$(ItJ$=q%=_#E`4tkV>O&wq!(=ef0U9*_!%{Nxru@jp4b$%MaA*T6#qk9?5F%?g z7Z4LfHJ%n&I;Zq2AX@tsBT?Z{hU8?a4FqQF_OP6`8Sw+@Afzjk-0LWbUx)6*6lQ$b znu@J;M1u1fmc)Y=1k5l;`nrlO2opFl8OzjXlNA|HZ64a)3`PYI10~!QpYuq!A@RXX>{04{z*DbISPtS{auBa!!BAM>_d;Qrp8*6L z@y|mrfZ(+}450V-w=o`My5#%>6Ts_b7T$Sm{lROw2 z7n9ki!y3B-Z8FW2H@O>9%E=1kRK;v_stCo+G!ZOhvqfWp+enZ!xswdS!U05ElZ!~l zX*6$+n*~Jlwawri@6`hN6+y zy#_qAH)qKoKrBD-JdwS181^K__#>V-d35&FQoA!|jK6W#*w5og(QlRa_U=4Z`H=&z zle2Q;@RDEN`*JT2_V;6f{r$LK<$E0~@%H!0zrnMIc#>&HX>tC7w8X?p5pIC_oClT| zhN(@8Q9e8+H9C-5Do(#*9mG~@K^UanNRMa^5zwiPj1<~yLMWc^Hz5@wIMkdR%-IDh zY`Y8f7$#?|MUrRK8wO*dGiE`CMbH%9f-DVn7_%c8qbSsjQ9>aZOcxP1(C3tcSk6>D zah_B24DvNOLYRvZ*pDn92|Z|myFKB2L)H+5czl9tc@rrt2x1bS2&WmkKL9toNSf@O z(H-$vVyn~T&LDe+lN%rf&30S(8m!gx!d=yNKwbtSl*%85`L>$V3~1(15>rJn23tQN zuYqJu)Bu9G5Yj3!16@RWF+K~%Kk6+~asd^C1Yj`*Xb|8(@HQLfYRk@BpmmgLe>MuJOzO&`y_CY+9_De96^9`#H6 zWq&#*64?hkOnSw~9!5U;feKW$=p^&0OpbTCb!x2A=`6JO?%Y|&12_$<4e5>m=7&J~ zcA?tbS#IDSj-bv?m=fR}ZSUl%H6?kai2o>5I`j4Is_~uIT!`My1HP#8!@&CTQJRSukvKS{309En2FF(wqq>_jqr_z(?kg?t-pvs;aV!V+_0&m@NZxc#- zRe}pr->-M`0NJgNFppfX`C?b374{3GJ5f$rtQ^ag0yp!r-X@!dI%TgP?Omf+;K?s9 zAMI_hPV@G1Zwu2%pt`jSC<_NMtx-aK>esT!O?&yh%NEJ6JKEc5lXaUdyuT5V)}Ryg zE5RREo6k%!rU`$J*gw0iI{v!0)0{zbNW_2RZhN`*?N=a%>-t&LIAayh;Lbyr^{!?9 zGaFEyW3=Zou55zQrMiHwuB`IeX=A)w%$2gSySAs82{whoVsyXobM^&y;Tlt-XG#jT zEkAU5Zv;VG9sTpl-WKK|O|igex9zW9St?I==P=$Tgio-r51x>U-B>yVmzgqGwET|V zCeykUaRp7*L0j%^>~>}+?wNq#z1(|I{N_}-)oQk;jAg53ihx&VI?KK53{Fh>QLdCx zmU}Nw+(`^k+i^XBxyg*%|MrXGHxe)RHj7vdKve*uI@Yw@yOyl63*inBFX8XY%Z=sU z4Xm=-Dow#g#!9Q``zalI0_txAitHlowDh+;J7qAg@T9R8mIoo0NUya=Wmw z)Ty8@E2`q{T<+b-CuIV7(sff^?rp&JiI?uW3-H|3nw?1u&ntfTm+A1#i6F|J!2wn+ zcV^`qp!uCV&G4~}sFVdNDs?K$4{hkZ81yzj<;c@50EZwkwSrTvtPS6racnP~(DVIC=$c;02 z>dX{_E9+BMQ;}(Ju|*hwto2#L(=PO`fX#RLXm`4|!LXAuk!&-Yhk!UbQyqFe!JdFP zTQDi0R!4GPfo8MqWu#X3u3H2Nq0~g9Gr`{=J#FmWoP1QeDI-JKvE3_s>vn(h-Mdwg zFn<`S0m<4mP=8uc_x_KCM_R3d*H|VLtJ&gbg+4FL=vl5+aodSDm+y8RfcUHX^qU8L zI%UKGAMf_AkF6igmGSvhSk>n6xzx!n;YOF6GOMqPd{hO1&oB3`;zjfOSnVo2TItn3 zh;zS&dgsrpeHR0Uf2#I2{8M`if9z)+*WaoA8q>hOTKfak@2fHVruOR_@#E9{v3xat zOz_%2U4tLT_}gP>3sifYzkQ6qu^43SxA`th)z*F)gVmUeUb_IVrG%5#-VK39Y+1Em zOJZu?fz{48920TpSH{f9$t^p5?fCfA? zlnHohBFycmytVS-$_FdIQTasWuPa}wZ2*8P|5DpVIB(?-#>v&bl|Rn#2eS!k@8pl~ z;E#{+$4~GF%jee6)a`ka7+<@bi)E~A?RNg4)vk6we^5iIRq&(RyEbHwf@asw*g|1s z$mR;qKz+`zh46}b4$K0~bbh*7cl=f!eSYGidwOGR#Etq@dFlGt_z-7W9m-EPCdaaO zp4S_}2`&5xtPHI}tTO=ib&$;g@+n+@FNmnN7j*N`=Jx--{0L4Rgo)tn1);LuviYz( zuw$36c9(@!UJV~zy;~w{o+FnWDN&}d$1mmE-UvIMOttIXIYO{IUHJZ&n8Fm#TkhRL zQE?jOyV^S;hIJ*Ztz?ram+$?|J1%?P+phfn%btgA#DBf(+6b;`oGXB-Hz37eK^rLI zQh;=vwYL$cxRs83_`(Ln%hll@XmD~oe~d(I-@nQp3GVgEm6`y*v3I2$LBXwF^g7sI zJ2-l5b%+yg&e1V(WEy_HvA2#2D&EZThE)}j{lH-0&T?f-Z{w6(7T~8kz)?B$AmhW? z+Z!o%aGp!5rf}9P$PBT_CTLg(V_o_pUVCDr*fav7vFm1#%#Vrh*(w^Wu^3JtjnkUEPUOBmuZDu7rJI5V038;d>(he{t$j9{{p z>J?zve$gLHU$iiyyJ0g)}U!Jl2EpV!FP=Ek-8W~jA`ztFgg**LAD?Kz| zz5Nu>zu=80Y(b!KpTCr`&{t$EbYt5MrVISyN^|D|zpy%}JOVTZfLX34K-z!FSj;^c zix~lZ>S(%}f6B9(|GCmb+^+x8kDht9>-j$JS=@~$n~3l5i>=)XsVif>-<+}D=X+1_ z1e{+J9U0oLT;%wb)`hLC-GT|M&Tei#)+kS$s5CnfXc9i@aGBI41}}5Zu8d`FZerLr zhMh33?zVE>+CG{3N{9a~wY@o>!xqpxl4lC#=|F$9gU9APU;x8 zsFxY=*pmT|jkR{Ofs*qWPf6h0a;$-CeQS>A{95BOTj)sOcbkr+vY*3vX)L8r1WGvo zoVzRl+()s548Yx)1vux=bAY3QpNDt+bdKi+EHn@A+yHftrp=IIXl%$>=v^5L-2kD@ z45tY4`#I)M1o>TgZZ(9r9s8pb677QqcG9hWFY-xksq6!lCMpL-TC@SmhbN4`&t7(x zEO$o{?i2>vPuOlx6Ivn(@*KZ7VLemSg%mRXJtt(?fMX?0A?bX@KyY~0y6N~*2@Uzc zIwd?k0LhIoCuLwlmVCEq!44|?qV86GJuOtzD<3G=<#^7oI-3!YVHo_%e$LWS_Cpwq zvRU>+94STE&O?#u9k*!b%h-u50W>Tus<`)X4(Q$msG*1RDoHLk9Duxn-b%1IrAXJc zM)vx$WYQZLP%k4-^oiQFGdUM3hSL?$lIT`80J#VvyB7vGNNr3aNA0qJ$ljg3^epjo z(=-N!%%+3t_P#Ucs=qtObCcOafXOm%^b*%3}IzIhw;*wNDlcWJskK; z*?`TGgv0nOMY1pE00}|&g&faa{8BgXpE=WLF2eC`nzx3ObvfNZsWwbnXYR}rbvMJb z93NJf{VzF|!)562J1QUMwCVo1Mf-q0W?zRj!rA>MUj@POVM&VC*cu}UwxcmJ>+PsaGQ)}u z9c{)*hAwSyCRo}xb<-OTJ`je{uvB+yk^tLYpfU{05hF}ojupgyTR|JK;s`2%jgyKRVG4o|5MP6&lmZ06E*g?v zAFJm^b)q>vP%q9x^WI;v9TN)?VtPmr0P4Wu0OVRM*Xt8Ats>ACUDw5|#taBzlx^Ii z_=}6(Mu50*U9cQt*-_Pm76=R(&M{HTaXL1fv-?1`m}Kdlan3 z1tdin$Qq2+`jKjXGRSV|$YJAiXu%$7-aItYyd)E8rcZ`_U$KSi5tcd{HcQcD{4tA2 z!YRqHOt(j7o8S+zLPRGH9zZjC@wwyjeiYCvBcFA~`EH+zPkBJSV`xB)9+d;|mRfL# zz}d*d5`pRxixGDv)!vV9#4o`+c`f>xu{PV3_{sy9WAEpW?4O)^_~6k8PCgjzi+1nA zf6;Bx>ulZ>{bd%uCX$hvKE<=msx2L4`kb{#gsM?ax-qt`P}oUMzLV)<o85M!)8 z*MjF{-^o_Dyj{`wssFG;!QTY{a-v}EBY3vsW3dp`(#`z>6j{GY_P+ArY7 zU_7gR%#LR<3u76~`b{@p+UE6hy0oWaTfB~NSFoEuJa_(Eer@X!^Y!Es#(L{*Y(#HF zvVRa7Uu`T)_J$*#fL=E;ZVm3sc6B)$W?$jjGmK!pjq?znrliuX`SecnX-5IK)c$MM z%mc(*@3WOwg!^MZLp7`sHsU< zHY$i!9VnGRg7nI=xO7$V7_rYnZW$dN9kFgLD5p_pu{nX1a`@rVLm|s_apafDU8t_hM~!+>7&&=x^5ov=2`>dQ(J zz11GpA;aP-A;aO;mdl<8bm$D)zM;^;jAjtxaW~>h=jPHa zMW<}|{WO^3nG(AMno@cw@X?}us*3`(lF=zub1@oj+z(SJG~hHn(sS4YD5y<>6*Wq2KYhUa5REGM3>0~qYyEftwV0)u zc83Ov?5qwK;;i&?if-RicscsQp*Sdx7HagkaYTxp?)l~&(Vksv6VlidYGKu$nffRKRHROH!WgrK}D7aRFT^tMB^R&qf?4YFS$2l$#Un7M(t zr$PTo_TYW2QxofUhcjodtd|PyxJ@cI?>Uyh|uh(^|4S)VDbS2Y}tL zV-^Fu2kgB?8eRcy&_`8j&lEz3JDC|>AV1TskW5$ zaf$qeSrU0TgG`xxC8@A?&RSU+^*n-fP;>}rPw|hj`6d3do&EzHAjXZrD+L-@+j<*! z={ZN`IH^@~khL`^s93)P>ZEsDjp%-e24y^I{|v2yPu~QbnEy-I-PJJ49)9~hBIf_X zAS@eB%$L!OnE%m1BMzAVxm_a6%t*rUIK(T6|5|{CW+o=DtS{wBqq%VMY z|9B8shubI_&1}@?-H0nv-g-k6YP8fpJzxA9$J%;WM^ERAwI9M$gRJ7&JkbK-AKa8L zi6`nb0ag!$OXZ0h;@G+_6I+8Bcx?3{K)t^{M9EtM7Q|W2N|tRXb1{qL47#we_W~-t zQ&XYlP&B5&=5!76up}=_*n|e*Q1wCu8z>NHCui&S;8djLLUb)e`xLcWysOq?bTVY) zYdnw@^1BT<7)vNeWJ>=^%S(xmFi{f>AcAp(a);5!Imf_oYK;EQ+x{F{u_v1sTxo3a zxs$pNf9N~G4GjHy#0gOMr(A+-PgJ))fCu%F;eHLm=|;ZTrM)BQmL5hw|+VK{XaQbG|U>PXqX1w-alWhVB__ zp70FKRW*(`LCN$cC+8FBQ+o^-T$soWDXUYAOugs#>^l+z=fcZh@_4Be6TEz%#mi?J zK>c!cy7^HwSnHb|u4O_=P&9Zg7mEJW`1o;&IgJiB=HLQ`MGA!4f7P0Q!Rwrg$8j9G(66L=Iy&=+T}O;L4)r~EGdbmC)~+o8<#V;*UBvVyeVy%(i* zo*{tsOVlamN7P__9~uHtgV#Kw4(8mw^``2~a__Qn$)0M)&nYh^1!Me6EkQjQ;Z$}lckS|@&ou9 zNr(Ju5G`-M4--pbBMXU=5b38ps688PC6EO z#7~JI#GH}#&^AlOu_LdcuLb6VLCnEpVF0&csAVU_>+9CXmCyJ|aa{t)dN%Z3_h@lb zV!&Ld!KXY*=!AG0Ox}i_Ufb5xZT<4we$a2M2fuXXmYR)i9a^T0^wjPyNQAXRe5jN1_6{~3wWv=oyTrp; z!nGvfo1qGU8PBsc^M)#GyxrgeB^s`9?jga*4p^^Fw~(|BgOzDp4}yo37BYyKUmbxT z5XY=-ZmHRox7Z&s?Sr682yrr?%Me;XIlgiWzIPYq2S_-Al?=CVSUdwQ2+6q(o{DqHYc9{$q%f5ykfnsAVTEi)p^lD#}?7zHbY zfsU!5nfo>qmDQ4cUZgvSampW;Y?>X05j5He8Zz(OQ&oFu6-zWzh=H4TTx?LxhTug3 zhT#}vI77KG8@eB@#X>Chf2O3(2x{+Qc&?+A3H$8}#bE76yka3(Ls)Bq9)wHYw z<@+3@D;d-5FY#xm*nh)M@594PkCn%DdY}Eeo8E`~^jvL#-V7XrS{%@tpTIPBM3fb% zh|uhW`~+Ns@!kq312i3Dc^6a$(<2MR05E4cCHE=$mWSED%MCLEi!PDRr2#9=nVpgj z7Uq6Uz7VxR%;K4H`qZUvjJ%SW98>ond*sOeldl?ig4q_MCXRSFGAiV6Tw&d8=3MNr zBP!SCWJIIRaKl?CrmqVUM-aPI}|DdO8m{B4IC~S zOhz*(@mFrdlnsd|!~er`@|;qI={dT3FQ;9_Za!NNEAAvMh9(C35@P)jg8oM6UP3fsv`2?$XP8#BrknK)Wgj)a7V$1i;=g zXsd?fMlzb=Mq_ToG;Wk4&Zk@oC4BVF$*AsdgkRfwSie62qyHy@_Af4a)q?3TK9d|f zjH(ICIn>r8)D?P;si<;G?Sbqm#)b*&wA40*^Bl=ytR06v$ zPGGlY5?C+;Phfrq(p1bFF(Rx|8b7|>?Y{S-Pp-$a$875X3m%#z;mo8>fpr5+Tl?zcNc63DiNAo z+U|Yxm=S!TJ6Q-&W4=t0L~l1`8A7qnVsO}Lk(!DIlE(KRIX4X2i_$#OTrhc@7*0aW z)CMw1@AWr0L_)jerNP8w;BsyZR9nsSvr(_NbUfL_K}tP}5nhtEqs8KqY^Ujl3-n{= zrw`pIuriqxfP?qEj(*ClxxuoKttMRXu+vK;FXJUNg+72Ps3z%xeV=&hXCPZ6bMT=3 z(9od0DHXK&qbhnc zLMY}Mpe+)vR@MjKkU@=8GSy}Ai;1PiT^2#N49hTsD;{3Iniym-Gvsk<1A4#7gG?tO zPKwt)NsIT>)z2yK_UBZxV60M3FxP))*P10o@U;%4nc%gbb*~Nf()ZqqxEk*>Ha_1r zv4LeeJvLkn9`x~lxV@^V^+{HXYK)8lPQ{NuNo;K#Kd$eeuIgxMxBM3TMPk@o81n*; zF*+^5n95TIAin^eKz8dFvLBG@I=hKpN-GnfwBt z6(-5zOGeDH9G21-*DQwn`G6nmjaJ~iHpdy$y=Zi=*R_s@lys7)urdlyuu6oB5Q&wL zGEQnpc?c!(g>VtgGTW^i@rv#xDeD}NviP~-V<_4r5${YFiA)1)=vcC!#hOq^cOG&g zf^T?m;J64~-|!B|e#e~MW>wa^Zl*28DGSm5Hcp-eBh|r!^+cmPkD}@4Pc!pZx}2Qe zVV+m$iUdok)PNPO+J)g+uR9Ms2Qh~7$j)GaIPXkZVe2uI^cE2q?dgZOJ&u7wAJWv@ zMjJYoHc1EH+BUl)%9pmyL1&6v6LeX5Uhf)I*JBvy)H$F+m?m_?UV|Qc1N1P*#m3%M zwghhQd~Jebn|km;n=Q|ScPG9bXQpGlbuxk873~h1;KFfUnlRsw7X_e5vXdjhh=PBz z&UNWhj`qDP^fpGD;_@u|)UpC)?Ufj_cNH%1q+RZMIVJ)b}k^~Ul$ zJZ zy#uhz^GDd#t#@S`jIzA^&?|dabX(Qs-slv)zSWujrq(;9-a-599Lwc`Lm@P}gSIy4 z#?5$-S`(YsCbms+7t!m^Z{{{^CUy{HfO=6>gD+-HH|1Hq-=YpbpX)^BoLlk9+UbXV zDSBvA9rQ~HQP)Wcy(>`)Ypww@nBfu75~O|uhu(UaFu<_7`9$;BLH%do;1Yvq^hdX& z=DZ5kNtScsNsc6+<~+_C9^r`p)UyVsS=pa5I1r@~gN%n9Ny)N|Y)Lu1BTpl;9LUs` zl%E}d*QHQ~V2}DBkZaNw@uJQpVV$#OVNl5#Q zCXaJ~Zo{xw8e+=Dd1Cis1!?J0a#~C>Tptf>7+l1<)9N-D8;^7;kcDLQb*iusb?}f; z%lSg5c?O}t_3C`JgW!48yke{zlAaiPN72J91jp}O*=DsvGd0S72le0=Wo=TA@UWdlY%tBZL5bhvQhKz#2J%|}fZ0Yl+$-m99-Kx7k!!{h#Vg}{2VasJH z!*BYR-}XUn`7i=Mu@3e1Gim4;yYY^ZL zV+RUA4i}Tf9aoE2UkK5daER3nsgyiE75$~F~xWKUM<8sCBOt~VM!6nKS83hTg z4Kw2jCjefxag_wXd#}BM)|7P^FExU1xYJ%nGpGG!Zp5_HJ|zY$)L@Te+ek!ZHt zKoOv31GdHvD$zrM)if*@Xwn+u!)j%^)K7aZ{ixkvwT{PkIm8%75-`o`k-I?7h5!RV z4iR5+?*q*y^3fm+y|xUw`dqaCkbxQ{sne3bej0KkB6>^+N#JBOovl=j9|MF0JJn?cSl#B~!>*13gQ2KFkjl5)~#rf~*d%8Pu zib>m@;G?qxNH_T!!$X4CX54ET;UTZu-=L`#?$%)I{6^*8zZ+7<2{!FL3Ao2MjR~k| z>;bcINp~*1#7{>@SQ?v-B zo+lJ&LV-Z$HX**io+{?~g>H)tr=_#2i8F;C1U@$~4I~*x8Yux!3sg>gq=n{`Xc8@o zw_)3e9;~AieKdN);Z1Z*Dv7j5$=t1rAy|q8HMsS}9r^=;mQbwbrOzf{!G7KkE?U!9 z17My+KQRo6$~iQRinsmekVDzt3sWN45X;DzM&TBT`bWQ=m_R(b?4~{#$WY352Hp1S z`-8;rnKZ3&iLJN0CF=CZg2Jk(dfmF>Bk|r2rhGlbgOStdz4teL>qYi3&u1kwTS9|A zImCp5_>G59I76{6!MV;;h({!1h7U3%Nh)O!e~h;h<$cg{uVftKrp^=#%m%JLi8aFW zi>Q`}0@u^z5B{4?_z9){B14aCM;^44kt!%G<%Ui=tR=*d9MtS;7>*~7Uh>ob+R)QK zn>zg=MA+Ajk3Uj|6&GE6C2V!Vgsn0@_9&{>BGrKCEtn>8cI+93RusTKTksR-lW}Iz zuI%W;#fXIze$9x{n^lO2Gp6UK%|qEz`b`hH8xlk3VoHl1csezai(Y-HYxncgadpWn z^Rr-58||X9lxVU+ioL;W>)mS^VlVdnpaxAKN~+sNcMu7RmZ;^4X^}S!C)C>!?AwSo zSY)JTJlv5+VwTHC^YgR=>8`})#P@wm-#m2FQ|@@keoJD|TswZw@3>A%cKluhJ74O; z{nT{m{F@%kYq#6I%oWL|2e0MY^fy9~kXX?c_YhuH93>&8Q>kxDA#zYPjwr_Xm!f7oAMmt( zX{-11)A93fe=xb%53&8hYkvC&a~RQ;dY4VOs=5KsNIUx`{{y7|2jReheWPfLhpEj6 zej&KHfGb8Ek@k#DRPQwElT}g}%Y?(jNlyp^^XiH*fWTSDU@!<|uIS(*^q}f|1o6t& z7NoorylBdh0e#_51G-A7!sx`o1GY~g!j>9Ay!YN{thycgPzRMn>8ONyHde(I_`A?~ zFmUQwXPSgyBfe(F7CTil8kT0H!_#`k*%*$~{21!kz|$pqlpQAk0d+MyTFi(h7CBQ9 z5_EGv8uo?ny@{opQ&|_vcr0 zzBi^5tN)treg5MlKpfB4b2^qnFVf^MAhJZtxGpTAAT`3XnE{OmlIUKDhcrOcN91-B z$qB`(-ZZRlWMl?)xZ32*2ThGwaG^2xqV%+jJpY|i7QGkYvhB`eVECt4yeoLZud^pYY`fewIpFlB;EwHKKV9w=`y1JdDbe(?7hn+PrkA}v z3$$>VK&st_6|ueVG5H9e=YO`?n)yS1x?cCDVMs89J~Yb6X6y(8a}2;@BbtJ0`fT)s z8xMzMYjj5xyq(yD^KKl3^XUKycDgTyG4hmwnr&R@ftS{`vG;7_^04Zhh}IEu8GHXD1>ZRLNTILhM+>NPY?=m07j#4q}D`u|G|l`Z4heEkpo zqm%J;DwOd;tC?OO(k>p19DrvC%izbx$L}k4iqQ!@{n~&bGHMxiiL4vb)d3dKMj5)H z6%WK<1eGMl!l8~p3q+UZF@;8r zb3;fh0teNDB-Ipg^VM0#$IZ#5>TdVn@H@UWF=VbC|8c+LIwg_nUzQKFfo!X_6C%8);q*u*$PzP^99 z%G%Oy`5pMp#IU)T@=tiCtkV*vY{cAL@Ck5The+q#39McT*S|2-dMuY7w4TC{+vdTV zT+_;k9n9eq4ns3{LtL4`YaX!&f2}|6FObH(zH>1~&pRQe8Kc*fJ#3AgZuIp?*e}8b z4$B|v4Ito`J}Re$luY{_|4Jd^3lc_zLXC4sL}QtO;CTv3MreYP<@{ITy0N2xHrXOU z!cKhpnOaKaN$ba=zX$1ZU1aA$T!PQXs97p}d3rYUaI-*W7EN@1)-XugKQaueYDNv- z+iuBpat(aO+C41z49zjS$?pzGSu2A>zk4L%1m z4L-pPGAVrJbmg~5qs+03iS$CbHf(k8IaG$llXC z35RZXtQNX`>Y$+8*y^C0jAqd7rEbJDb{;ycdhbrz(de;l`w^E}hSoh(*tR3ub`ny` z(PFz)d>pndrsyJXnOV>eKYU=@sS!Vd-BY~(x?&r4r@2nEu_L;#a6m>mfN*c9rHyKl zV;<=8K&Up5EF9c8^c5o5pG#<(;vWO}1c6P(Q> zMqE%Bo)6s;=R@~r@}Xb`o(~0v=Wj>7-sUu1VN5-zNrqyvv7s!ote}KidSeRjD*FkK zbTOy!rZ=e=SF!bj;nqCv$>`oBVgj;^^_IvdDI+B6JBVCt~gIRz{X!&cEw+J#)2UuLxfA$TIkA{q~9g+X61`lfK?7$<&UG!oOoH{%aQs z!)FcOL>-CH*GT}Uksbj5XtR0=0NAPl7hUa%X4O{q;@1-e$j(SqF~}D zLY0{ z_(SY4Mvk?NV1V}Nhl`E51C?U6aavI2G;FQ)DmswBs*7@%Mqq`2YT~u)kxf&@G3+`` zbJ9}7vWpVc&8XHzF-(fMjxY5-Jp`EKe0T-|Dmafvu1!P@>b(PK+74$e{!tg6l$|Vn`2=>XQ;$D=S(~VvKE#g`m@Y5@CbSLF?Pq~ z4pxAr=3vex7H0#Km0BeXEMO*m-LfpQPr9S{ba0RwiPRlt&)W5Q+;}WEZfHo%|GNTG zeCkk`WV0jkIAV7~ltnf@Kw)n!Z82pakK;y4qTrOORA(x362e0QC8;DCG~9BYnAp~~ zNssB@J?Y>Ba|nAvaC;%?5DTqRf>;kh*XrW!SQBVRqd%}3>)Nv zY&>p|8$Lk|h%#PsTmDB~(ZURy`Z2tqRN8`J4V3(hFxzs$h!bGOCN+*v z9~TMZWEmnca&WV<)TZ2EPglMg_$URaht)O^&tI$8=MfR&AuuLp{CEc1_7O?03FJKU z7Je4ekKwUcP?>$-z!AB625R=RaZnZ{$xqKepBER;cpDql#5QUfkoC6vWHYA!jEz>h z&@Gs$_Czv4Z8Uh+Bp}-9VKq~N`RS?IUE;gE;l|8?Pj%{^WoIYRKd>8O;QTd}7duL&qXT z@fd(cW(+_ugG)Po*g_BCMC4LIG#z-%b0gf)pMO{~OxUynB_rqjGXdL73qe$IMEVl0 z0TpuEssPn-gTGlVZZNt_xWQiyqTS)@Xv=7Z8~nwf5r^gmx5l|aGm{$xGsxryD@P{2 zt1q%pLxcJw6FpsAT8v`qI5t{Q%~sF2c{!xKep7CBBKwHi^EyGw>oDFbgv-ik1}U#` zBd(;2^j_nm58b}U;}_Ed6oZ(S^mvkNQUW9&#-AMx7s_|GzR4b z#gV-e8dqoMZMIZvX##?hG|X;q_vZVb{04zk;6ZrUBC;BJ;&#aw3%C{HFn z5~rC&0F-*2?|rKwVbF$7Qv3*;;+vVVmdbgxzx38|%XQA?4?n%x+|!c=!O|u6fmOmD zsetzuaI8Vgy{wS2!Z@o)08+w9f?+*<``2op1bqiCXh#J7-r~SHo6lS9-TT&A>@RrO ze|K)!!&m%8Ojdoxk9^pn$9LH=LSOOZB5Y~LY*b0~1e!3H&!2{eLZVDqWb3qXA=j(Z zts?CI*6+Xqc?@=$5tF`j&Qh15lvL6Rg3QB`sAxI}3(=$KLCcEj<*3qZmUb}MPCmrS zm1o*4s8=j8LWLFuJ_Y76t-((1K1}*Q8pvOlMcU*ncv?(`C8KtvNi5cLFRSXJ`X)N( za>_G!k?eN~J-Ldrtgb6Fil(b5z6Ga@TP~eAb6tc9`Bl&tikPlhz-I<|3DgA4SBzs_ z`p{#D^6V@lhTyEnM@%_K)9Fh}9h-Xc9ID8{Ou-LCA|h1+5HrQ6o5mMLv%QI6B6|jm z5LPq+CXRn3Aq}fCt)u-E5hG;_LvjnSHxlO?!51q~L*4CQiI(qs2meBIvD^Z5w2F7z z1oxs6dT*lxOhCgwkihubco@g?{Jligy>V1Ej0?T8s|})6&^)^KA&zExs9zJJckscV zNPIBPeaC9wg75d%@w5Gn(|?@rqHiVs3FB7T3wjS&M6$c~dTccNr`I0jm_eI#JATk8 z{j!DSfj!bM)Qmq~Q)r6g>P?{eXFOR4p~!25{p1q1fO>UF+n-#D zc`7;iLp4bj8p$FkYZS5I$QmMB0+q6lbnBfeQ^*cfn$?+d^nhtA4#vgm$&aAJVT;~! z9tsRs0!v_FzyXX?S*GxpMC*n>NN|mKDEA8o&qJlGtVcW)zmWJ$oH->V8ck?zB4yuff}ekD4ALWqzujJZvtWSdX{8_+h9 zuiow=YStx@iKYwXtOy~+;3SlwKe?1eiUjw}UZy9Mv%?UIX}9&;DMpNV&m%d&p zm=mH9f^2M*6udJeeQ%)nf0EOu^l)2SblDn?UH@Zer(k(wg1y@b5aBxGHOUh zGnRm#A2j07aROs;zu!ov-!GVf$BoL>>M${x3}cnedZD*te`Go#p&5ZRy4f48Yy%kX zC6DWWlAD^~75JyXEAXL;qo_Y}fK5U96~iB--{{F>$ARO!ckQwfJosZ4?G#+~H5j1L zih{Xi6G(_H*Ks!EFn~UdIAt(+@hPA-&zr@@9^DTkePgByqx^{uVsZIeyD$Q&PAvHD zFoFHFE9q)z%!*DyNXf;~)hN%w4SBZw>XDKA?ESq_5Hb4LUd;8>`4KjI7_sLMUJD4+ zUM$;A1txlSNA%d}ar+s@pdPiK89lXq1VRN2+Ze(PHwKxMA*{CMlzBi2c@1E>0p_^V z-vLE)%39gn>7(xw?(|iM^6}$mNbV$~8SeDo+=wYe6cHSI2k2?CF*eiDUbX9wc6$I_cbvww#6D};yMhEt3F z8}>gmp`HDeXQdY-n|?~=trBwjQO%GgN|@Te z2WbM@3X1(?35>%C^`hE1#pc;mRyxX3n4-}Yv?U_5>Pm@J!FX|AR+JFiY?{Vo@oNp< zPZhikbwOtSAgFg$RIIElHT_YlPIE8a*25&DZ|(_5vP4V)28K6^3$t@l9!(ll>D_p2s9i@%4h~9f7Okc zcBsTm!w;mViM*k`z*^LAs2*sx76z2E4l+f2a>%NU=g-$a=4!Sc*7YSR_mV9Rb{jtL zfEE{OhD-_3X@b}IZHS8m!&@A7#yP{anVcb*f#(c?w($UjhG#;egL8SK_6+nFCTk#= z$;4Q*5m{f!>k52(3}}Y&m2oh$chZ^@RVw zEJdpDAE(PSgTwW2cAADqeNTL~+hYcYO$%CkNDN&4CWSz6_a=p4xIY6WdHcl%J=FRK z3X&as?u8$y@>M^|MwIdFO2$(EFdzS!%d8?*xyBervphZ{_f^}-gJ5)^>PO)v59iyq z7+dSgaE4uDGO%lm{woLW$c_QUF2f0R!vQ!TimW~be9>iEyG!alKgqj>nIw}()cA6{ zpX6>o$swY4e;vh{r6eIj?3bdmNUu16mexo^V3gM}Fbj0cks^fft$;6qjaXAIdKrRk zFms|_okxU%%U>u&VFguF5A2w#A2vZDnroH8=#X_`J{EDbc?p}S6ya2Yv8+=rBMu^} zmy75f0g%pgO`iY>OL)A?mf_Mt;6uEz}uK{-r|mBAIiuHsPZvS#B!>zaG2_TSGx350+X zB{D)tM6_50lRxN)D04d{9yWOGUiaGI5b4SLz);7>kBX~QqUKJRs*R+yXkZ~eSOy=~ znnP0kAL4;Mx{)qgZq=7a9Sp()T zow8PQndSXBd3+s-QLPA3V{;NJ*e}tf()!yINE@g1>-&MObe?w08eg(EUAXdGXPOO9KUs}o?blXq;hlZNECF228pS%&M3mG=R6xLIJ`Y};rrk++@ z^Z-xp=gNF1fcF397)U0H3Ev4`yVt!onD6wyYkd6vdih+{)VmjMqjW04fsVa^uF-4Q zm7&E$U=+tu7`WUz9ofU4++eAgulp1{&L-CiBc zTM0IH%|rjwiGeb~sFXVHDOD#Tl=>1-YC4Dn;X*3b_XbdLIy7}HHx0P$m-QcqT9&2a zLCZR@8k^|nmR$PE2p>%BmmTJ2?vx;W@R~>X!C&hSbq`KzFD3f{YUg8`(+yCptsI}B zt^|^IKJ{SJz0m*BUY7N{k;AJvki6{Sd&TubXf8h(CqjwCkNj5Te>yzflS<2E_JuxPMx4|so&fiJxjL214tLB?9>zKAa`Q`o##7b&xEV+ zl;E}hpS?GMlj|z)M2%(1Qp=XS%EmIH+y<-Fs9LftZ0I0Bt1a2Gj3i@CglScGRd-dX zyQ`^1QsWVEzyw5!gg~>CFd-rH$VwnEgf%RIgiKx_VZy)+d4v!kD>KPU-efXK-v9rd z02h(n^qMiKZt)i#zMx43@eZOTi^|PV&7yQOk!gIp zFR7ZqnxS3M_<1obi=y#Wo%?VY-0dqpn|-lq6M^iI_YOr~w=6;4AAS5Gr#o{iOOJKI zww~kBClMfmb-}PySoaZP9m-Nn!@P2z#J5_k)3i}?JYoVOP^PEzt^|hhn-i-fFN7@C zM;;lR6b=o9G&~!u9j2e$PBV+=<3(nA!SWOBrG#QbNKL^tbP_R3rs_JeH!2LeV&+r~ zg*q@ZzSjUVJHFEMn~hDIcn}UVpRJhbmL-_^?l4LDi3?rby<2^H>{N{eyr(n{jhtpbu*^nhZ%2p2 z=?Ca>d?q!5!-eya;3Bl^yZ$2dNq;JVvv>m-)KQu@p~FF#1!B)2(PsEI(0)XsOrg;o zJ9rPc5`MX-P=|Grc9RyEOzt4_Fp>Yvoo_NFer#taLI!-PFp_&fvMf8^V5}sI2XtW? z0kv~ABt|!p;Uh(?P#c~pqhxLqH0NOZSSRAiWXWPGf_={jadh3d0I9x^Qhfcx)cEQ= z5PSL{>gR!|hf5PUKb%qnS8F7;58i_UV+TvQBXgy~$=tqr3DwD-2Mz8>vsIjT_V@j; zWT4^>PIn(OikmrCgog?rAG$BdHO5n2F?-OJsB0ExSenIakDF*{Y}Uj*)mug8!!TKR3zR(?ys0O9b}ccY+;OUtbOCFeBt-)`tVGFZf4 z#}*M)Wl~jx`wpfEqo`O7?lwdl#C(5JEVFAhxa!BS1+4{F{RID9%_4zk*dVsjTsSA+ zo`z$3!4`u{+8t;-EDg7hq`toDz%5GG>z-)T6C8F^3uAqFILb8U-wT z5+OKuu>_t@{l+BSG*r9GGe&B&)b4f3%oI6BG9fb%2ZP(6mp^F4$==aakW4-y6tIY} zGGd4oIgEfZLa|;#+zRA~B!1;_eVq%Ygjz|z1H5W@m`j(a8@XS0zdw$~s3dxSLOb$JPT_{bv^dl3*3hl7N3yjxI*&?Lov4CADJYi-g$ln28*^0$TC_rj`L;P$ z#dURjCrtHUzTB+Ly;wex7LPXK46BfmJ+e@L1;Y|MI80ZY=6H-CqI9@E0eX%A6Q5Bu zsl;BCit-L9<++6l<^Ams*ug0n9T?J6TL8l`Pd16r7h``gEETnFw&qeIxiKn=IN)7` z_XlH$FU_L(QmMo!Q&QhG6g`j3ojGBe8Wm3J3 zxw`hS{Ug$ximr`-UgugXBX!7!!W-g3FqFdK;4Kq=Phir+od86XM04~9sDT2M)aRD`O? zoDF*SAfq7spmI)B8Z%TnOSzFIYvR+(;Aql%k;OR-vau$R-WTr^W}p0wrM>Ix~8Ylp4dK+BrPziM2ic z=x;o@N`4?lhSA&W;;b5<;G9{k8lQ|UBFYO=Sv5X}DMAg8R*h#q+V|NER*id&Rl|W> zxYqgv^h!FSXfqNWU1{Poy*mRGe`q8n=&;Tesf{Xu)B zTZWS*`hl{vzl=>5MUMD=>N|XT!vO)expKS32*@vsY*=679!kYGoiqww5;@l=h4pUT zH>qZpX!~GV<&4$i=&9iBhPJ+2^+fPld+QOkuAXY3sY!5(hf59AQjr3$o+}!TQ-12% zg`x6ID5ey*|1B#_Hy7GlGS0ftUfw_{%+kW$&uK4{UOTspAxH;&d5f-x+4hK>-QpPQ z$lUDILUj(iIlEB(BCxyqlxvXqP212IK7=*!GW>0OH6H^dwZ^NBCD{AAMF354=BZp$ zPb*v;G3(q2F>=EJ?!fM;HLfzVeS<B~R>aK#Q@Gwlxny?)_g)&GLDAbU^ZZ@X_h^~w`E9CqX zbJWw}bSTyf@at4eeb!=y8Ci4_&B58iLhE^G&&U$R1b7Jd1QG7RbSm0ahwGLsy7 zio&Zh+nRxbfA)mV5I>|7Qo;$28EPhAiOAA29e1z|1rnS8z(6%#tDyqzTnot`6VM(C zrx5BS;cfu%ot5TYt#R?U(ky^#y725Yb1+6!P^8veEUb!CtTmww(aponHcohLLn`?$ z{dtS&NH=rdCoc0nQO`UOe7DC~LR6c2+Ni;f(Io5;Q5eZft3IEzT79ZFUIok869FlfXG9-l|ya3q4kB+L+17?>c&CXlMj zSRmMd5O*s5Ta3#ay7wcCUPuquIK9{+)3Pi^m7E_>#Icx?BkJpmNst|&PVen%{|4oe z2zt5d+xxaMJ{M%zRSH8cPE50iuNQ%)h&%JAi?vc?b|WK12zeHDZ?f5(l`BTukcM>- zp}4I3vc17U!Ldb4L&svQGQF<-!AEuRkb{rX^7X{unfb&|=!w6>4o(smq)9qkf?;p< z!+JYg+K&im#md`YL|Rc)pNRSxC~H#DL)ATL_h{@#erRxtI&d@ev6Ds-B!x<%6QaIY z%@n>Ff6h;g#ptPhF!QMu^wi$(!5`HW;^fU!3x=gSwYPLVwH~04_=v%886{+0&&5iS zv`ga|IJ9tL*z66_Hd?+dLxtW_>iak{a9cc%YX>xE<2nY@ZGyRwCHRwk+Y&BN=yM5| zsOS6pna_7z&-e2g&NmpA>U_rpe7xk5O+r$#JkMa)^Bpv&HRw+jMa#uniZj98##(cE zK#jtTFlYEsoM~vP+j}7My1t1*PjWu+fPWi4O!Gd4`8PAed_rOVrx{=#3{#l*R%$wp z=>aQsH+v|;UcHeLv-?e*CFuph`u3m>-Y|`FV0xU0?qSgv=5-+&R~H|FwdQ7NvaMhV zmooPt(n(Z(u2U6ag?Zq?rcUwb+-jssj1Xtrq>V_Vc|qbeC4&ngWHsv)6ND(CU99L$ zB;a}pwsl4|f}l11OGtWFoZZG#j;nmJlt=9q>TIWK)2A>4-U>|%_xk`}j1@|x$SIVi zskItXCc-ETT#YTjAVHZ95ih`UDPXBY_OF?VtfWNN71@6nCanFe?lCii_FKlAYNNi< zT2E?rbVme9j$w@*s+L+h zl+Y&9jJJk#pd#Zwq}B4`gWX|7@^S1gJ_|$#vJ|<9fRKc+VH=ADowxw@01FwZ+JV7< z(38OhD7)}6+(RUUd`Y3K1ajH68O+Rb1DonYAkVTkUg%MDYBFEEfOvVPa)7Z~mPs5i zOjVM?Al7l;m5U_Ayo4?oDv^jnT($&v9I-VJ#fLWIEH8*mhHH$V~C~ywiWcG1=TpRBwFeCkj;p-OaiSGB^=9Ih-6mQV{#Fb9MNjHzYOu`=a}3A zu4PkFH$%fDyRfT@$W?5q&_WF#G8-S0EWH9bv$Z9dt|+1{BaBPb3NJh_0C)!RY>x(j zl{)TBO&!iie6$-`1Qh?>D8)k#TJvou^H2&)L-AMaoM25BScs=gV=+hfonPqw#!~MO z)W3QeTsUBC>__rK-R6tBP=C9C^1!ESEhw;(+zDid*q=R_+l@;(+HdCWn-nLi>H9%~ zRg*PY08OeE;Th;yhp!l=dPx|Q5Y?2%jtm})Hz~YkQp3yP!?A9F3h?1d097Tx71&wy z5If|6LOu;v3>-#E6@1k}Eu`=x-PtQs?+lob4=`bThnE8{_n3eHgE_>Rp8UJgDe(fHX$tw$tgO65hdCwWa4<)I~prGxYjUbWG9Kaif)rGr^$Qf;p=-ESAl zBSg6;wb#Hg#NdQ6`}w`?%iJeyPO)%rdu7Aa6TwMb2~eU`@N{DY(wOO<@aC>~p)}&s zb6IWTh zXkRs1t2Jpj3ckGiN$tzgPooL%?${aLGZ*m58o;VDHwO7AmtIV{-hASU{frT!W8$p= zX5o!?0Npq8!DWaifu27m_lSkNFK!PYw%Y%>ynQ8V_5oIiE^0O0L(ALCaZzneVZJp? zK!o_l6Hq{A@X0DD4HL-!o;bPi>h_w-EMkzxSPFyTqzmm;t>$F@S$T-+h4zinFULx- z8`Q^GrV~}f0cS3C0^w0>4Hg8mESFgp+E0mn6Pu#?CE$H~jhR>1;6~pV{USEFeT7_V z0H`uRgjU|b-^*c^kZgNEyokRqF3m2qucoW3UL14LA!uDpNUs2GPhy*ZNToOiv)W|k z%tCoZdkwXkG5x50aRo?qd9gJ!H|7x!fRzuZ>eUgG!wJ{QCxEVLWvw60HA<~wZS2ep zQR)grgdl)-EF39VGSM76RYAK_X(O#GPia{JiW zBpiB;1<>p|{)U&JDkCj-I2+DZ#F4MYb`&vFJ3&4|OD8Pc_Y2r9m z;`98|w{8bK*VHE`V$<^zo&FX#J*&D9WlxssBWNZ+DenN;Zz(rtrtz{>&B8dSsMsto z+`Y2>6yW5{m?uxafw2bc6D1_&UeTCG=E9jVZ|7QQUowpg61Y0*f~4nnHbY!g<=sbnhfLB z?JGGmkGxTuo-}OjTzgq*_SC|?t?~9s!%jfIKt;xogE*RFO_r)?3gTReMFF*%Qh*(3 zHrZG}aAbQeta(M$%R!%5{)WPYtJ>GaAGPKGl=CicU$Slc_N`8nGk+MF4RLqXy6%l_ zI$suwx9SxbWcL*G?lNPKm$%wiMfNW> z-MYi7x)!hNy4aiWMT>_r>4r;`Nd*8tyU@OrADZ8Xs=rDdpxk;Z_nqqZ{TmQ;%AS@ z59F{{KgrM5VX`WtAglMG0f96rtghu}>>g0P4J)bg=3o66e#W|()sG{gUh2qHH}hK> zAgbG7)vj*gkAKI{cyp-!2!Er_SbaBtqejzeui`$Xo+IHWJ3S{GJtvzyCwn|6TRbN_ zJSV$5Cp$YQyE-R3Iw!k%b@dVKlV@izhY0Um~cn>`k)ALNh!z#r@mDLqpS;Mvf@0G`Ge19+AyHGsc}M<9TwN1*zD z_=9y0s!v5Yc$K;C)i3e~vjohsFrc`4ia!_vWe$k85OYAh7s&yMURr%S|9lgEP_2Cy z>3=2492g1oh6P7)F%`J_Tp+l=9t75<>hp;Cf*%k3VQ`tA3q7c=fJc%pbgZRiB0*t@h=im==b2xx*-`2IdoLW9~U4 zpu$hgbI^An)@R0R(_Zq+qu0bf^iQvf%(%+ERR&!ZnIDREy-7{}+W1`dn~T~5&=o~8 zQYl_NfiCDq0OP)J>269)eEtS7w(2)PJa^yJc;&)j=s$?^fF^|kOASbT^J1?$Mm}Ec zKNg|A+LXejk}yR@Z-Dg*jI(&*US77^12ZUkH`bVLO%Z~v@sT%z;N?H4>OP)&O9}mo z8w{!*)u_~GT{Hg^L&WVt9n!B_1qyKV9)teUV&?qyqLa2exk%u_)u=624p z$cpeDTOxT?`;w#RN`#5BPhgD*?G-o^ZnJ!4d)1iVG$87(sP{rulq)DAyV?VVCQSpP zbWlSACzE5m)LrHPi{(bDT*ZJr(&e4zkuB~7?F?6Ml+7*|M|HSOI!oxA zZ48)hfIb@=Li+8j#iAax3%brMX!SUJizS#TDh*{Dj_z?ftN6tj z+Vji=i*}gjLw2k(fyY53#?;mEIKqW9a}3?(%X;i`bBE62>2!;_W)NPJCmS{VDGwSn z{3#!LOBt(Q{`UaUe7|_m?Re-E&a+>b@Q?;ISqPnVXKVjn*S_K2+H4+GflGBT3cwn^ z>4WfZgL^eJcpjQU*VHZHMYndbTsmHL13Jv*k#MiG=V#pPZo6+yv)wnP*lvp5UVjue z2G$W^G83)rM_}9otDXw>`jLdaZcEtf^|W8ux$~GikGMQDx7+E5((LpD{T^!K^xp?? zv|?u&r-sh6zWylu4~8{jkTb#Vzm~B3ZiUa>Nna1&Mm~f9LmgypxBIX5+ZfUM z%l#g*yN`0h&`!+P)i4t#^}PtnxCW(CmTupPCKMn^*XR^X`@*lWdZbYf?Mi?@>v_QKIkm=*epnP@$DA$}U%>#~pQU^oYBhtX| zL-O2`=uMX%EYYhKZj82&-h5!&)`X2+3bUrn=63Yelso!zx*erZjkfPSLw%(*n%i~H z-up#4I(+EYq|V>K{`)NBW@&Yf)Oknx4#q2C)RtBq^0^dT@>P zm@*B(Zl-SfM|EM>Pyi-Qu-$>c32sg3KTDYLy(+U;_3x7~8e?UqtJ z$I~4*V973L*WJ~EF(nBKuT6$Rk_Nf1ER&1n&tJC#D7+@c?s(|0O7WaRA(<9PGX{y0 zpW}SpX(k13t-hy(9G?1ktxzup2u1sP0^3Q_OIIVO!q4ci=tC*sLil|k#dEsfWVjH1 zMrtQNhxrzHnOlC8{b2&I(HW5dwj^a2<~7dc0QRjEfFQvBEX8w+-(dGJI67JqcA2Em zhVf)>t1IcK8Bb1#it%ve6%J1gk(RXlzwTM@D+2N4f-kNmm z9T4Sc-A*41<5x|)RwNX{^?(2w6z5bojO3@XW3<%8#)Te@5RiEy!GK+RK?Ge+FgL=+ zJM4vMfk$KA2ugIB09&LhO7BR#xdB%K!q$)hE8Uw|bF_rNxJt>1m9R9#)H0SGjt8?I zc#Hf4ChBanNoQdjCLfKix$v;|OWOq$Wn$h>6IGcw!Td(N=_M_c4}zO1pJTea*{7+9 zfdWdth$`)jW+@C&Vi`N;0l3&8V{^qPqZQ`du z1(hcJV+FQa^W0$)CAMj72lpt~PV?>TaEYKxxCRlFb&~Uxa)W{8c#y^K8Rt`~GXuQ> zq9YfsL$b=^5jR<^&A9s8hJ;z~cNz^>*b`o+MjZY)(oGP`Dh0ktf&p#A4uw^C${xwx zg>)8t$c#KtqA(A)aMMo{%~{}2N5%^Ry3vyjG5u^MBYEM%?;Mvw!l;A{<0k94k|)r2 zE$tZru``?!o@RYFcTVD+T+B(KMnG^@EFJLuc3MiLh0H{{A&E%auXYv!(g=cbkr_=X zMx!VjVA8NfS~aQnk}w7|_GpV#QxGhLZmv+|2tzu(B&L8w*%Sw*qs!=)T_<7Hx zFnC2~7~JGw@UR`)PwPc>nuC7OSwE<^SFyeSsDzSFfw2NpDQC}2Ab10oIdDX2GE4+! z#}PqfW(P7Gs*AqnAhv`vD(v2t8FqsXc5n7zNWRDrc79MQ*xi1(G=WfYC>2z;-w)mg3_(Le)RAKG zw_E`w9S|{J%%Srs1TI}B=xhU)=Y_R{$>IhpM1ChTM4sj#^4l38;s+^2^nMw?l(kow zaF~Vmlk#FksD)G-+|E`Tm zMHm?CjNt0ls)GQa6-MP3bD-^YOn8i~M8>P33#SOOnMZPaP&JuEgOENaDWTF*kF#2) zmvxWV>lLW~kQ%5?=O5|<&{gfVC8Ulq&;+R-UE`*P61e!Yb{D4E1QA*)FR0@#uN!GZ zCQ1?DLzO>V8{`@_OTad3ClRt~(P!}!C?r;2(#!Z1rw9j$O%4((?a(yx%@11c2PHt} zxktqRh0UXC9uWwtQxqyDrW7}(Km&&QCOyk-cGgmf$$07`flT?9 zlPP(3EMxvyGPvWQ+y|@Pk=r_o_R7#UA|Z*JaVtixL{|p~+AMP4N{BZ{?KFp^=RJ?Y z;Z$lkIOey-!Jy$`(4VaRpgBJ%f%$EV!s%8-0T}WH!5Sk|hYM+5ew8lu^6&fSAAU^72eLB_wBO<1>( z+09nOk8l!Z9}fgm3~d@1ke48^bGA@%FFAz2cJ6oc!%R~|F9Nn}E}Eyo)v1Tt_um6$ zY5)m0lTIfsA*0B;5rzhG_)pA~V@%%|r9Qh^K7>9tGuI40Xe#q+jOIA&@ky+;`Jj0o znG1NJiLa0(p4*YTZD3O_|6HtTWDiUj`)EWRm5B!j2j$;8(JzsDqndpEve>>|&Ah>j zy@De%K(1>C2sV_8g?Hl)S1z2Y)aoOV7f+z7w=B`X5kMvo@N(&2u_Jf7sXj7|ESeTTSj03Nf55nQ&LBgRx=YE=q@E17fQ5ci*) z(GEQ+19bN-|8-eeJB~jz2>Wzta5OiFg2{E1Y8@orW6$`=9P3$oXyN!^dpr1hmp32- zUDWT!j%RKa@VM~?gzm4%R~D`#$Sy#ki=l@iUvk98;Kdt91eCvZF7DxcO03@=Qv!FIE=;qv>N(0IN(ic>4VhSN(bH)x3ELI*a zPLi4|=7h*TWIr~b>5oUajLtTPCI??MdsGPxi1HBMcy>@BY#toU59Wq*+qdfHd`>AF zBXw!VgI^=yelWLVhd|t*Ja^BPj&07>;UBR$ual0D8{(VBPzw54s%*5N*?WU8R*;7r5*NE=!!ez-0vpO6&YH!n-W9xxi)nNNdNaE^t{i zm9ueXh=lqbD8G$_h^h8USEC4FM##!#*__)@#Rk=ZMooPyeG zgM;_t1)uJr`nLxrP^KKkXi(4zmH~t@IqN`sV0L`W7Mwz+ygbJGNUop|jS?T{tZ;wa zE3aB#{jFYaxrD=$=3nLKM{>GdQn7S~IrIaiGo=ZWE6+bKmv0dfP@rp$x$0dOqPLDN z_llt|pH)AHrMv6Lv0sF9{@~7IWB2U6_s*ktL6qOR75_moL47}MJZ{2xObsM@YEaC* zLN^!eqq$0>0ejeh1UvEaFtl-GWD6I(g;|~@*8SVKIk&OCaT6~NymuH)6%p>NfyC>> z4*7Tl7w#fdX zw7$lU<6B3zZqD7xAKON@KDfy#D;G{Jc3|@76ZX`MNdvs;A3=I4nP2tGc((dq`Qt12 zLDCO6-L@8H`+I!O0M58ip!zj@(VN3nzhURIJPmW1PE7y9&)1i2ybJYu2BNnIpz1(A z<$nWCdxwdMwJJ(9G>r%sK+GUQC-L z_^Y1V_AJl``WBiox5ReuW)HJE%GZfZC4F~*k8b~PyHZuWww*k-4j+6rhI}rDTqAx%_b~c%yi&+^Lf)a>;+QrGuVL=1#B%QN?Ks6 zgg!D5Lpn&)MIqf$@RlfV3fUJecqv(x1B5aU=o4&B4=XL*g?rDyUI+Ugb4h1_$l~2c z&?odI`XTWai8h*@N93vQKRBNF8KMr&Np#_vV1k(qHz5coTN0+~E_L169?w*X$JQ9K z@0ZmwZHBWcHivY@itne8Y1~9rp9a)fq>ok_MU+Nm6fXS8`=w?A{>VRV+t!JB#G`92 z7m75ZM+%JD(g6{DdTW*DUKrFQ`~hz236vK_1rOW?K$|ZFS&rAn=~`r{D`HkrU%mF7 zUwb#I*zje4{`xj-mz5g1bZMdhhu9b1_r-_5@PRLUbT?+AiFbOsfZq^MJXfof8@t2C zEq5a6e*{s%M;Qrkz~-S9QUDG_F$CP3oyY)jIWOOvDCcs*o!Z##G(DozQ`aH9^nm3E zY!F{WEI4)Xg0$8XQG!EmFYq7(#lm}vVxq+J%zQI)EKd0ev8KE7^8{FIjB#F&*0UF+ zbrz!WOw8#UDy=R^Yk%KRW^Po-3)1=rP+Du`!&+9)-Eh#{%;VSlq4o-s{bNeZvueHc zA@JtRz=FDpwJuRwqET5$wk2G~H+HclpkODhruK!sjS8XJ)IJ7 z{t915t)(dRA6iS7C0a}U`_)>i5xU2|0~@F$CpHkr0F@CH=%HUq=mZ**pe+&Aw=lWO z#jTfkt7LMS>Z_wBC6X3HnagJh**+A}J6i>w!@vbW|gT451~Aszp-7gxrZ`Ag)-vtGSnQw+M7UjU-u{NyczUG4b5ulYMMQx3q_hiX9*N@m{yuYM ztk1M;uKbjH%NtPdKRJSq`KPe2tu^D2Tr2YF-Qt2 zm(q3&W~Cfj6e6C~w5lcAf*8n7VqM03`(u->WvtvXhe^{S5f}!dflQuY#rB13wsT=< z+T!zaM+5S4RKu)sPz*){^b7)m&C3`j?93*3RFd^@i9$*PtXoXsLCYVqP`S8Zr6$f^ z%4_-vsoVpoh79i#Td9R?3Q4R8glUveW3N$Qhg06pCTJ7E?jmh=CC>rrs5LhG#)4r0 zV00I)BGU19S~|hCV8^X91`iR~d47p>E$|#>ZJ`Yt?r@gP_)ZtbuENT^^6FW1qzaCa zoV-|>LSI1B;1XwLTD_PI_DE>0aJA_63u5GulFgJD9vbeB{`?D=M5sS*m?Vk9-|M)f zjBa;kMz^Pv(FHo%Ux)GbptDfD@Fh<>;_ZDDyT;oGbN-Uf*;z0bL~6_NcFgMPcBCmW z(zRx(4OH&>oq}*YH3-o$?HcHiPQoHmJh`hh4@)(9QbO$yTc1OM z9Yj$w#SA734fM)^$_E|CE22<4SwU44s&Uw;#EvX{iuzZxFk3?7a;liPSi+y}>jluK z2Bs-Nr;W->O>Q-x@RQ_CUJ#rpD3R=IC*Vc_?ky(YnpifO{|f&-d?frZPoXEw8LiqY zXdi%AgB?OTpwE}l8R3FsX$G_G+@O>@p%y&I)sd5n9^8OLfxw(*{~cCzfGrrxEA&2? ze4#g@hyyISlDTY|xls%QwjJp05xvu7I|UNZS5>j1kVP0+RwdHCn{UVU!0m}qA~a7U zTfnHd9LrCput3OjWCy`rN&1jlCMNFIar|ZA_&*qkV0f#7EfEz^X~81{>nwcVql0ps zxzrqotcKd@{askis`d)>ZG%5ENFs2hmiPNL(j% z8piPuNV|0Q#OYE6?)Pnu1$pKnQ@9yU*t^$L*)r%RL|-AZVyHbZK82dkk{pW`4>RNW zTVuwIWw;fiN1d#ZtmQr}J>6a|t5~@EIqhZeoh`I)kUoEv3Ddh{i>wD@M&@SGzH9&_ zTC5;22}P^VBH3(sq54L^yFoL>D+u`Y)ra|y2_+l*G>Sp3YF`TKC)GZF@ESq^|Ix*t zP*C9Q?J?{sU&NMmfC;)Eo`K6O++%)}Cp((*WDQ3H-kDBs!9>;n$d{VDpr@xolVHKW z6kBlgvNqJdL{{CtgiDQL4bSvF9KF8!Zu}G8^Vo-^TT#{(fB<@$bZG%2-4#%J2P_>Z zDlcnailzE>` z>>_@kfoc`YTH>5fV) z`!tq3#^0rT0veZwb=6iZyXc~akPr&UoIT-4G^qQ2f|`PJnljIuE>d|es@0f{h#DFNM2{e6 z(*!E{*EQKzd^7B2P@1_ODLFOMLIo+dnn6caUd<4No`7tP_sCM`&y^omw$cH><0^H%X|&4vaGdzRQ4 z&?KV4Aqru(DBHnr^^-J&;@wyxK!jg9i|pBU@iYfJmC)A60$x!0#HA5IXpk$|uo!*$ zXjCnXnQ4udXyoBg_2)q;E*`i2lu<((qg_eEG1^OQvS7$*|C|J8IBi$bRle~To;14| z!G@|I!1wKCjV78d4d7?qtf-U2ew*{4j3@pHIc&U^fplynYps5Y6O$!cZd(0&exST` zg?&>`hWhI2?{Y-f{l)m^IGND@gQtyGqrC1I3!GlyEvCl91>S<&?DsWqQF3=g;B4NB zYJ%JWM?LFD4*+hmPyQFzNQfFxn&J^eM`4K`BD4&2`9% z5m>4rvskVX>>TpJniZH3aK|pSq+4R@6zJ-A5`!{EZS5Q;RvO4a2$EA!BAEOsmgkO3 znH6-!d8AJRd*zZWYv#TqGEVHM4QrB*8bFZ$h$dGjp##92G6zjdin~Je0onwHC_=Vn z7y4B@Tg8Pl{{cF4WgTnLpw}qz-86+ThYHeHSVyswbtu27-T>RD8hyPOr&NYcD_x)b z4TCeXW{b0?rm^;RY0_j>qAuU)HaDi;CM>1Rhtc`CYW ziY~q^+xG)nH`q&MdK!$1`lHxAp$mJfZetYgbz4;$0i<{g#lc`tY|Tjp2t3zB^<+45 zVT%RZK^h2x}HO;N0Jx0EqSu=6zr*%LojY-a^6(d!UPidiz^c%2gFZEFQO^G3w4_Jn<_cC z<49ENE!X$U%1g0cJdL{z-yQO1e~pWxA8kZpYG0%?dRi?cn+5KVLurTpBZ=08GW1kib0ughd18G0#lR zV;n0jCoz}yof0Aw2zOt`1UeD?BP>_u@9@rV15Iiiw|}R|Ko#?K0+(z)-SY0tTdsE5 za)y$&yBJ(itRWusu7qMfof?^Jj zLa}%w8(nm|#Qq$p#U%Gtr$Ra0@~V;Q+vY9wnw#>oEh%p~lDntGo(6Pk(7|2?Uya?a zO{|%#8rn_Q^lzW2*AO4tV5b4x{L#x0q6#)r$>?(O=h#m_E=MHH`>{VHqqQu}F=4L9 z=Ae`%yfZUPs5zDpkY{?qe(X6wj^W|m-sYd%DS^%sqJ0YacJ@vI>^f@f7{kM(k?_V2 za}!J)#upr1di*R>^U;QI1lJEQ;BX&5vl*J3bnw7J%+uO4=7T< zgE<@>b;Q~*lG`iIwAjrE>WB5(jsqV~TFs%z>IN`X)N=5X!K4BY#ss7@Y$wzygUIJ< zt2iY<1G9o%gWgUtWYFv_%_0T5*8Ty`#3&FjwXSU9YcZ;8Ms9YGdLm4;E97VU;qKmknn*u8udoJ;fLQ_n4>4>V4t41_+$I3XA_CX zExg4KO2u2gE4+o}VNq{@?arIOz3rJs80csjdDRA|J%0WOA^};0G`&4i7F~1Zm zrYSxWWJ*91o1Pvn8Dj|b14cH3P!Z6<(I8wuq6Y4J2+MwSlE*X{4M6^C(J61uhZ7?QqjUXbNIoyo(1qzODaX zv^^#GG7M+1gES$-4TSX_XvIT86!I&yZvr5Y(~hVbOcojn3`erADyuMg=t-b14}f=G zvu8NfjNw7RDO)fRzAe0=g}!#+hOlds!I^j+?gQCrHPlI^feSZ_yw&A!mfodRYIJ30 z%Tcx{^k+nw*|lBq!||^k-zwr?7MnZ~hn@b?bS%p)O<2|+_t#%8VCDBFRw}-@6Hm`5 zJ+fSEQ7w%U<_D!=l1ai;g&^q z(f;!ucb)IE(^1&D-KQrV54hnBq~iyrA)RAuMaPg%@1UH*H1drpk`4z}gTA^(p#>MO zxPqnMuu8U0djm}HC`nH=4}0Yr^`4Z6PsM4ov zbEMVhDMgeQ#a@<*$j&$-b4wK>``aEwM#V+6t?#p=Qy@Apq^C9y!NVD-%@0y)%i;m> z#)iPeh;$bbOMykpWx`zH@32oNv5H0hXkf-Z;+ky3zQ_Othk7ZWR_MJl3ko8C(1iWJ zl;Nu{$57xN40BEC3(#d7Oi@9HVB9o1zAT5CHleeS?c1kMSBlN@!reE)R#SZom$<(A zMtNQJt@y_Q$3W|Gp9vsXjw?W+*tyA7?PbUi?D%|$LtxXW&v$&KxtQ%0JH>C}&er{@ zhxa)`MzR>v1wgH@enxgxZ5@5!|K z|0YXXvejP_QjYmUSN9K@SNC^WSJ#_=5bZz41+1@rIK`|VGLISx5o{c<6+2ODsQPg{ z7(L9P+9lbi1`_eE!g{;92m}T5{1T#GehHeR%j$5n4|LRWY+BTxqf)KhmE^C zg}yAd-zbG%*JCaR^`74=KwlYqK{DA`D*X{hrCeT&O8HS5Dt$`cX$; zTvm*}_)!}Ax}^P}sdQ zHf1uNTe5n&BP%W_MppbN4OzWWh9#`BmN0)Xl8+mE7_t7MazS~#o=XH;NoOzFbly#38NGAEwYoWDxlVtBlQI7@I&xN~} z(Vp`LW2AYx*mHDDdo^8sjl8i0OZs7ZjkAC@@zGF_0FWk!vAYEp|Bmmp1kLaytVk-CHA%Z9)l!eU&-`Q!0!PN4X2MqDB-OgF_^U9Hl!D>V{Ij z;`?%?R(Jq(he1l13`M2{HW0wk@r7+J!YZORE-p93TxIE>gWwn&#)WVY#GbI!Newkr zQA|Xts~V?N)Qb%Nm;{udQ8n@{z${D_-*kSiRiCRh;9q8J2}1IiS&5>eV z9}s3|0$`Z+4OdqSrL7odF9AR(rh;&P#LKW42%~)MCcEqfg0Wx&|4o3GgmJJIEMmaq z)wGxrn%2Y3$8GsIETnOABzKSj`R+6Bh@LyTD7w53`{C~3As@HVPE>|tuQP!)CW;W{ z2w^y?A;L!jd!#Y9Nx%1ntYvlZr6ULlIjsr}-=f6gz44|a821?=(nz%W1+-z@*afs9 z5p|-Ca7!97F?p|Vi50}Z`Sfm8*us9l4^!F6xsvNLluXH8ekt6`x4;uA@5+JneDD;2^atp~Xz>H>drg*&PgiJAQp;I%$dX+sgNXV0} z(>a%7DuvbqnW0s2&^qcj-XB_iP%3DR?6nFj*te7s0(S(nk~nYA{c0{z*JDuDVG4!W z%uuL0D4fgy1wSYi6t?X|^=0It3Ca{}r3TaHr&_3kkKl7^f9Bf&M{aUBvb|%dWLowa ztnhecW_X-*@OXI!c=$mI553RDlaAXfOUS#Cs-M-P>_@W#IYpC|GYjPv)feLL>I3+} zd+0L!i>s6;(BLYyI?mHH4C!iE)mYRD8B4iCxE?W-&VjS*cM7eaPYo^H_D<_cmDiG?F`wYy*U4zvlA?C?EEIG|4kl@~so2%OB-4nK(Lk~|a%)eb*{ zp^K0{dFFRgz_CYi$j7F_-#wLyLIOQ9zDyyw`k+eGEs^K^@C+cKs)X+Qb9Px zR5gS}Kea}+>em2{F2#f0+zwR;!_WlP-ic}nh~)==Zn1DwU`GIzjtv^Lx5C#bkv4_W72w^2uOZN5B15h zg(e@WvF#stSml6QYG~n)ZlOF<-f-ZQAa!qHX)omA%&jNZ@%RBIL zh5K!GaFT2xP?1+14%_O7B`E)MhgwY#0h+@@%ZIrXi8#{6!lx%fQo{xcYag$hBB=wV zZiF@WS&*B(I9UD-sQ}HgT;w(NCO0%}dMp>Fhc{V)4jL&w7H3%-F;lL~ONZn#YEME+$=+y2j$9nq{QZVlUf98oR z5>yF>r9zcw-)GF?qwdhfV?A3$zPcoiN}8t0dZi^NuEgQU&tnFK&zUTs7gBme;oiys zpJ156r}t@e6dnp`F<@}sWzrrV9^Ph>cS7YCv22nfLyyQkh51rF6ilJyczp~IQOR*j zx~UzKr+r+{;jOXPCnB89X+7{`dK7N?acSZ{w<=OvX%fsF06T*;dAgM*M>TodiVQM8 zr!+WtrF>e!^}#IQ6107l!s`7Q&^8$MUOy~B0^IEQ@SUYusa4M+p0+jT7Hj!&yH542 z?)mpK@A=ib=g<4aCt{YcvS3*6Jr4!9*OiW!xt-|;y8LfuUj8{<{-65gXHjYHI$VO~ zfW00}!YT!_F|yE7F0Nv6OEk8iAV{$W?jMXVA+D0@s+XrclDi!65bXy7wKK_x@Vl`)G!}2g7vl{WKKX zBzRk>0sjI5Q-0NZ0(Z#>*qpN4-orXIqd-Ol!df+>rwtF^#-c|O8UkH%Xr~r+OVo)b zVxW)eM7e&GxVdl@$Mqohc}6`bm^lD#KRqavjVp{ID+NwGC0dCd=Qp>Czg59#{fo_YO0rR#r-Uw`63i&_#4 zd!rwgAip*p_E&IL?J?JGr+G%M(XwUsf7_5eB)C_;FShII3n5aStvubW_rtL%5+P8v zx8Bz)?A#LM*88MQ35)B^Oq}&7nD*B^Y!eqGM-mLvBkBD%!@5G28Jwx2a_~v7;a8^8YpS@)vaZ|Lm8ag+Kj}tw$&Y0V2MvAZiBHdZpa0t1=i%Vmq%n zboWdEdqwapK9h^oB4TfFjhb5r&)5XdGzo678byg!HH8n5StH&|(luzrvH)Y=U zn{?l|_zm<&+F+ROyEg~uWFZ0I6x(`F;8;k2q)IHkhjnUQ0S^jP1Fv-*n}GZG-Wt1e zFkH*a9f@*)iY#_sV-gYRgh*6p5)SQGwEa!C>i8;R1I(eIJj*<9j+%;PCdAm)q?c-8 zT1sA@M&lD0Ay88WA#!{RgYaBK=MsZ%kx_!CimvG%qHARcO2V17N37BA6>J|;m_A*Y zhiCc}=8!~EEY>$)8OiM|x+Z^&o#hq~%fSEJc1SGfCm%9SmXR{n$Y~7Y0TfK(zZ$$t z9ZPYph6~_+jKHld;!tK5@fKwf-AJbWS36B;wv8O`67T@jMW;`x&YJ5IGLfG_WL4#a z!({mjhMssxL@a327E!c;l8E%Koi^c<1+yGFU+N{4i?i%O1WoWr0Q(?$1kA~%0BJqfuJBK?*F7q8 zD@=bmGfW>*n7+pYC(4H6M?pt^Fic^ZMcWGwMMYQt;Hq7_y9ZYtq@1#nsWY8O)3tnO z$ny%b+GfM72785B8Ad0M!B(%uLBxZtmTb4{+DkE&;@MZS z;8_@e#a$w-i2IHNV0Fq74a4g8UB6%~`yPi{gfT>qUM6AHNzy-fiuS}eN;tQ6Pk?M6-q%IDJxV&lUl%oSyvym%gf2Wle+K!O(7^OP?Qba|8P;$qPiCG&raEizFqIOoCZRHC?L#+?W5bIbaEOjuuU>EYymFta0U%-qj;pj6*B zA(f-fb;ATYM>rBgw%56I9GKD%P@vtoCaZ<(^$M{k+req{nqb&EKP*A7xy2c6UtrsJ zfJub*znH-yg2i|-l+RJ?)TOISb|~4{ICRsynXL1tz1szu{1Mcql3`Q z0@5`QW)}6QdEfV9hbv@SnIZEgg-qRVu|H&jVW}Xql{Gb7lC8J8SOO){#)0DSBl|#w zMmsY!-mK6#mjN2VFoi~M_TR-st?yO3>pg+H2nOV;Y@_$EP7`&&aRUM5waWI*CS($N zRjEE+W2dB{!%)Vk4|eEGp*VkE4DwNN{#3?FCd}#1zVCB-)V~>fVIl@Q!Twf-x?6Bu zu)EJQ3ie>;0InGX`%NY&z-c`R1d`%O1=AmA0h4$d-=;A7qYM-g4Eur~mcTim;Y9f% z_AZAUr_N6_GwEu!v5)b{I`qgiMq%(bnPKpDg~4C?%_L%&2=!oCZy012>X)p|s*Sxv zm;WR?xKqnaIGbnhoI-l(l*uuKjgCjt2o){d292k+mtZ@O8T8z)&%E)U){S55H{So; zf?-#s7}m+ng9#Miz1gzk=D|5BzVsf}$;|_zQ?8>ERL|m4t5%4s)r_BWX?-1ak;1&x zbjh>VnzBgj>?KWmO~9k0*&g5ODc_a)l#xLDR&0pSL%E~_uOIWa)V==H^s01hC7wNs zlp3veVU3@mH9D}In4Z9RoGtkpIh4FVRe{yQR1wkOUsriZtk*svJuG}+ip#Jh(KK5R zYIPHB1y9Sy9LkNb*_X4)CNB#Dfkh0(FoVWjG^2o1!Z04o!DF+6@YW)5h%pZXMv(oyOB&I$pN@m_K{sPGN9rrDv_T}F!dMd(J-snGS# zw{<_CDHO7=&H`D{xZbQ_eWe}TDXxbSIcjieNEHCO1{9vAPu`2eL@P|E1+UzJQWOqr-IRjPEJw_rK`z3Y*Vo zhRxd)HlND?n_!s2MirWPS&&XmEI=TorQQ=bO)Mb6m;2?$@h)UH8xU=kE7mCFZ4*t2 zf`aE`8jZs}?E5{YApV=oAbz`o_%C(M{dlG-NbP5lc&I^mX6ebt*s*|Ms6jKGKV7SX zg*GNivv9)Hl#wic0^RqMu1I~mdE@enpwi(#D1c1vd4~evUp)Z&(_b*`pZ&1-SqESm zRQj7mJ8Sf2>nTCfJgQs2KK<71j(=Kre61av#>^fJ(;fFFicYEuK&GhHdjdyQ0fzRb zssPgaju>GLqCy*8)XXX|c!BYfOc|91wN#unPNb{)?TK%xrqdJqq0A@tGkRjr%5Y-A zuvCzH_8wtHvn3c(qz$2K%!|Jx0g{9t^#e!p9$4owgTm)xgO@RulD-%*|9*wHK%{($Z(WTY{XbEOgcs-mMUO%hwI-3Dr!7zna zZ&K)RdW z&nZyd(&9Hg_j$&fUNCb2wtiYmsCwNcH@$*%4>Wf@7gGWY3S)uoeJ_#)LB2OxU@cgv z$tIMvKX z1HaBhq>`ImFzi43VF_B-8kiHCr87+grOZyDTc)*d#6Q-Z{6*%S{DSV}TYgFXcM=Rs zwUgXY90&_Ppo6d6)M}73F#kcdfjblh)ZO0tKd8IC=*rY;v(+8{qwe-!GVC@OmTI?y zhk<%9e9lyC$$5mDRc1=e)IdS!;xr7HZog?B)g51#dB^{k?)VxzIE}U(4AUL=lMG=7 zV}R;P$-O6V+H$}EKI9K5P9Y&9H1;Z2jvkyX42z}(s4&r^V6p9hfjaj6b!q|4~wHvaN#^dj9agV!usPeaK{wZZWB4Se@)jf^(0>(n>z7GoWlAmdYEo$ zafQ`=o>5^9W)8rXMPa>NZH2Z+NuxC}fwGAb;H=gR@4R5M5w)@{cDO?H*RnuVl+j;R zaQ?EVjV%26rlZ(H-pi)I%^J@`PVuDfVSzM&0BO;6w%1k5`+$TCDB@YT!^c&|d>%YG~UArK5x2=wDOp&Ar`P;sdD z1dh)IsP`Vf+&JVzHRuj&H4JbJCJgOMhMQky_LMZu5z`o~8?5i`1=OO)>!JKh=0o{) zJ(T~gyX?nR0@0n{WxYVI&y(FSBf>>2w`O46skVw@+HyFTag^@x%B!;8H{Pc^Tw@2P z(Y}LWtNpO}@dt3&ydT%ZdY)$DI!<=FQW&q$1tYxGoVOx|14Fh!3WcG}PjN%gGm`FWZ5{2RLG=VaJ(FiiK{n_qM)RsrfL zP4%9@F`R%DmErUr)~Q$p94pWeRIyq&JiOhcvoLz+$UJT%GdrIgL;f^S#g!heV$RJ3T6%f){psxJbx2aDtp6I1aGg%2XM* zKF{Sdj8M3p%K|r1oc@yn?Z-UsXHlGn4wqoOV-|sn8#A7M-Q^^%^(ai~PCoqr-PccN z-q(k8UvKmKN<<@3qk>^?_QMjm`HfMvaSrb0It)oKl{>xLaq>gD%iqYn%iq*p{<>do z|6K;dQtk4oyIKvjD#QgK3>$=B4vlU?4YBWYy4T;!yw?xwUVkUUUV~w}*M8hGR0{)? zPzvcif#cEvVZFjHHvyA|tX60u$m!IYMG_J~{8E^L=mZ@{Vb@l(;{igdqr+Zy~byf}Vqq^6N?cg*T zU@$DzUT?D}4Fi-@c#JKyD7E%20)!Rz^=`eWu?mwLGsEO#3X>;ifJrb+VbYsuI(3wQ zd;*cHI?DRt;b%s2bhg;EpB{?J?XjIl6_x9H%;h+E&+iqqJ7OF6MEZ`DN<+l`84`jf^ zVAxSVEP)Siw$$m;dt6GOcq>crqd%~oz~%FQ5`oi8;Ed$Q1IqFb|X zzivz0z}#A^PZehEZB@LW^rX(9;wNr;g}Dl2*M%20;TyiEwvR$KXcFAz`tUNI z`z5Uk?g2UMx`L=anu`Hgk;e5Itc9ta6Rmn-VqVONp+)snrI9b>@iXcK4)3t83F(F7 z{{cOIWucc|ll8v%yUIe9r6^CTz7s4(vstgT{KMV(1eY6~`K&>jsOGZt&=I zw1$xm=^c|D9Jifr%a@gJEHA^|BB815n!C}5bvMEdO&?Y#aN-{;#BNCqF=WDi4$CGp zXC~~se#~dW-fZVcUfQJxjgQi;$^Wg3xg*PBz7;IyeZS%tvt1YC1w;FNN5P*a%C(BI zYZ{xa&$^9g+tL*-jEE<~G64Z+bDm`6+q%-nu59oG+(A6pXd_DmU4+t8ckT9vWa-+8A*>hNWsnn zY)@|&IL4Hw;o@G}0oO8QsUy2^B*&_L%qXNY6*I8e^bD#Q z;W0}YcCALz+1M}S%|lH(T|$ZpXE$|5?fW>#6g(Ta`xTh0C<*L%y>D3=M#P_u9dZV)K_PuH;Q)j$wMUS~5*!RW z?T7WgpdPzTXlbwG+yO0_=o>}JPD*0rD5@qPr}H%XtCtGs$I37)M?*}Nfu#bO#$ri! zr5wQE8mFPs<2E8{G&{ALHh<8pK|>H2Fzz@R#M+jul3#=~xvl5KBM+8M|Z(0w3ORfVkHg^E!iOhkEspduG>Py@b`cyEX^2p6No zISSm2jCrQc+o4XG1ogrU)TQdO>m|{CEMKWd_Ju42Bl^gP74}_0cVs8{57ST3rh_~I z<%4ITV2?9D!*MAHd%zBGoRRb@;Z3Nk;p)wZN)7;8;FY|k_EDKzf$=Aqf$`C9z^Gnw ziMHh`ub>&Qqqat9yG9=09@No+k_GFF1ZFTsVR+cz3PP>r?_z6=vdyczOyn46*Y9-m z{}h`zkqVt!{xRLZTbO7r5uMk4lb$UE(|*@33)808dE0yTn|MsNV1;>bcB)lr01r|7 z4f%P~;OUjgdH(4_8=-^BVT2La`!3{U}V&qZ0RK2RLZ?H0o_8EYUX}&ly;vt&Y$=GpkqQR;I0`Sw#}j$2$sNaUJwIal;5n4P2zY>$LD$$$6^yE0@d-E z-_ql73+m)E?wj;{CYbhKf67_-%x#{}OhEUQd_v}yzcKX@gr@*5 zjn)jT3)ZLM8N_+cqHua`W;lIHH~bpE;r?(6hAEtSlWwQOD>xs;#@-V++7FOeX}|Zd z_R122Dg^!0Mpz3pleYXMu}LPl*I7)Rv^v0obs zG#}vQz$=Z5yr;D z&Rd;Zt|JjTo?$;?F*)~2ao_7TklvW_5?ASNe}L>xcyHJ<5&$57K*dqJ5(A%Lbx`yX zd%@6W(@zpke~=$jjio9hbko+jF+j82lkCWoNg~<~5A}da^$@|n%BNu&Qh!4@i<)=a%dooud|!-#FWM~fTHh=( zgoE55qJ1L&8>caSB3B2G1~2+r>_t&!Epv;=uVA{Q`*lK#$ZuolB3eX7_C@9E=ays7 zrs>)55~bEx9WdqI^U?2VbWs9xn@WFW6KI(JhAPvmKYD4W#qA1r`)xmiaS{h@(lld0 z_nL?-N}1RN)<^AS8lxLpu`Y{kXRSTr-!n(N41RUTLEBEZqw{oI34VHnD zMt47%xbzl`1p-}TX8-=4={GyzRQ-6zM?=+5cYGEE(yuV6;%pi2Pd((jG9B`Ez<#g5 zKFXG2EhDR+GRL&b98=;72ln8`W;nB3W%!YsEH~$n3N+ zJUq;6LvCmna^PWBN9!%eOmR23e-@oq8qHR5e$()<020lnL+`~0W6+CQ6K_d3wL77- zkL%%mEcW_jg8c9b@XZYe{yo&LX>cltk(9;S_M_h_qC3Rbh-VrlRPtcCT7+1!|A%?# zunXiaBMc;O>yF0|$f!%wQ9jc$0^NP}bx~9)uWB!=7fvs{VZrNfmvBMun9Lt~0N2LG z_eQn$3g~_?x-7IWDK}@P7pni2=FYEJbLZ8Z$7tL_@$0KxnP}TL^@Ui%eyZ1Cnsi&) zlzl7Jr(sO$jcm;4(w(Y;H-0?*Io(PDTkm6_5Q}iS#3`M;`xT*@>;h}Y@UWP>&}B}H z!1+V<3XD+Ti7Kqbkanl_0IN9bA;XTwPAMwGp1tU|IRrnC8T8nW#}=7<99GhOK_wkG z8IyGUD2=3hfecN4p*{b5<N z0zz>y4gz-qkL4@%$Q}YPvdPRdOAG1i#a$PXjm81u;L`g6-NoxO@8Tzyb{8k}xn1a> z02FA}PP4tFShcKFwBm0Hl^XDXmwS|SFbNQI%oBIn)?Ag@$!Q5zMo*OaK=xT_D1f2# zyD{mdfpB`AN_9ied=aPkkQ2Y8Smn2ed1EgF6V3uYVpLw)*u_>QRdw7bp z@ncDpNTRO(f?yY~zn zpA(g4?$BY}+Q0~V$h+^xjw~wg_AJGV9fMh#$@EU zS{U4ymvq3EF=dI5nEAlC>YcKJ?TFS3wb_ke4Hl!eIDC?jrEwyX7jWwnW)397o)`o& z$hUi9Lwl1>O8F*qyuQjMiF~^?pUb*?J=*xj64|*(h@DxFHgU@Hl@QMw9^Sow&)#}& zh>U~{#Tqs?VZVfA?I|&OXHGo)DmQvagwwI3ib{m-i+Pb_Op6<==k&7J(t2YN*^A}) zf2bUvTZ?ggew2peH)Uw@3oXZgi9DLj@%Q_CkB!N2hCWw#kQ(XHefj-+_8~qB!4Xht ziz4?;kR8gc^E4qI9Bh|xMg{oKU@O^fEpK01I9+cL*lyR^Jh5}P?cNXQEOpMYu(xWuBe#2oU=7=3MmYCQKIPCt9V%>Q!? zC>fafmtsSEQ$7V4$K5Uou6i~IXkwcX1I3nVpA0d|+QEMy!LsyE_GJ(?t?PliZnCgT;W|Je?-MO-V z>1I@b-;xF3g3UK$L`ro#4V*TFc<7u1B^y_v%(vfTx}zPLcQm@RJKCSmvCHx7MnqHD z%a&doz*}J>Y_g=P;lKCMpMvTSw$6<-Taw$C6Sy=B!5AS^BD1p3qygJK8UsWIw)>*k z(DP=yLZa)dT#~R|*oYE0uE!bQMIvt$1bso)<4m0LeA(^gaCGlId{oLcb@yezDhBK* zb6w>}J60NeqG0-o*d)DAEYMfKq>Ph`h%runl!kFWB14m3X!X?}l}D2q=e>yZXpnN~ zSY}*63GB021UaA!32Ia^9zPFnEMjwuIRZyGX<>Szg#cx`Dp?=`-KHzkNCs)nJE$%7 zv4&>Xyx6p#KT;NrJfOA;yve6u>Eo!Xp{b1(3A6VMG-wTCS3fDn~ z*Jf=BQWPx=cfW^4Q%aMQOtE37iP_v7`u4FNjnxh$Z^?7`!T$3GtiBinLk3nq9UI!4 zZc?&(A>#E_E=gGZ5KJxU_O8bo-%lcM7It6AdaQ|4M%jJxqt_ye)CZIIezbiFg3uca zcV9w&_XZP(YQo!fOgobGAaxh3Pa0qa#-~5H5dU)HgA3(N4=!-JhdJGb1HZ5AQ!@dQ z$|Y{MiOHjq`6khTCRm3l0Y~=kM)gz1w8BdeBqTe^UEE+jJUlR7x*? z>Px=b;V;-ZfM}Y@|BDZlp*SN1=A>su+{>iw1x`ZN#AS8a(+Kg4ux#e%xr;lUKxWtE z{B_APVnSdshlCrjGf9*~;@%Y0cjP3gp+iRvl}4sU0900sXd;yI5 zNlzu=#QbqQ-pf!B|8`~&f3^>Z4?TcVOcf;4nrlU^g%~lkJwkain|NovVAgVl^KkiZ zaHUL7n<~)EhBYNteI=qLpI3qKN11`}J6(a0pOM_n=$$kt$xtI+IX#_gw$ zCuSX{d;E6hJ^rrl@tbyVA8V!*uLy?ysUMb9yyB2l=@`xJLHSDFRZ#X)Fv2x?0fv~o zX%QV`x0=`s^T##^m>uUgi^Az&GsEfg3a5Ye8}6;;kX1Fos)Avu;B??V!?8x)VZ(vnQwUyV2dBZbV3RtNNztZ&#h?$FiK4gBbDJg zmd=$0Ciu{lbwWKmwb`5?Z{ z6#fkdzMu!;Uf=4QFBlnCx35hjg@U)${ICRlXY?panHoAp)jtc(Jc3FqCpOzZ^UYR$ zyypJAZRDBu0}t}cBXb1cep?J)QE;y|;Fgy;m`6TSz`rXtQ7XWHQ33B3A{21(=1_LI zuN)S4Tcg=QHZu}^iepIx%W_7`Ts zIlS4vHVq~R!xWQyzpYcB3P>T~Hr{Y@?5iwXRzbS5h|eN3>Pxv3_99ps^I{R0U&u|i zX5~KMs;yYJWux~k-4%{zzNrx8c-{^ zt2H$R+t$7Uw!BeK=mhHHjMt?vK@CYh=(s`k!CvcCRlTy~i~|n!tr#6diR!9OWN?(# z?JFg(zl}|sieLTVKYK%;TNe4%vDX1lFQDKP2L%z#6ABP_R^0{2N{2!Yar6U4my2%9 za7V3Ly`l%Yw4ahp7W&rs!h7>pcP$BCsT{TXIV4bfIkai6!e(KJL50oD?VYWVr}J}2 zpsTf}z*)(O1{^>#j4*45_u+Z~tTEo3s@f~3(MX|%TBFGIMj}Hwmh1glmbNsx-rpF! znEs4lKc5KpV+!Y1yL=Sx`q_<=`fHPB6Ih zLHXD|BG28NgKZxfMn+&G0?OJAb3?rQPQX~>in{^C@-3`5R&YZi0yge@_pf`-1F>ON z6pq`GJKk}K51Ms5!%+i^Kknynr(_vfypLRUB zt?Pr^Hkuf;pzYQyuX}dQ>;TgLMiwkvF`>(KWvI(%(Tm%hJL_AaYz2z?PjuqikQ)SFx%+k7CV&5X>|g8|ObeKj@*0`U zV6J+LFqnETc94z1$ZQ4|YktOV2iWCW+U2A0rrQ4Dhn!}*b>z0#e^5!C);XHnI&#Oh z=>PoJ)Ihh6Y>)o;%(L!7|7gBKX=QJ$YD$dh~syDzq-X5SOacpiH_r!%#Sa3D4 z5L9z`vZw5@NBdKFUHl!9`Bu%KUDBAe)i7_}V&3Wn$NK6|BriEKT_}Lst7YzS+?c0J zp&W3VhyCKmJ)%U}UG-_$T!L)dgs=S)6`Yt+Q7_7ds+ncm6;auCMWSpA_M{vwkZpf* zFHSUKv3ECKr^mxyAB1^nL`p0MrNZ9L@M*LChv{f#?Inlco8Gw}Z7z4-w?8z~qm_pj zj3>nNP0s*s>JSho#4dj#tg~rkr7%+F4mJ=$#$+h^%`vz60LEDIr#lv`irQ6l~F1b6)M%wM{^zgx=X?MaED0{fmgs*7{S?l3XRDq?6O zF|h&8D1E0CZlNSQwhuAVl2=#*y%s9y$TP>D35I$HCeYId@ynLs=2rb(6rPf>m~GB_Z!!|OML2X^Ep-Fprnx@Yfb?%yHA8}T<}MA0}dDc=XZ z)kHAbuy!&box5So!CdfY?jinTOi1nx)|5o{1#YziO#lhl5wvf?4=iW8L|x->YN8*Cs{yfiboIX7t2hVY@;+)sJGU65}O5W=qZ)l5-5{0*J)h*S*vcF;y>{AgkO)KXBY4;qp z5j`>V*zCP|C@kZ`?Iel^^4w^QMz0`Rx&vLB$rL0HWI27&)%NJoAML><;wm0<34&oS z@WT>f5RW@8iNQ==~QXT&RJsD-l zqS@2`8W4=ty3?HYmW*=-hx_K(Ni4zPzB4vuA`G2HdY>MyTT<`Cbx))}++g~J42K&G zOLe$M_uAkUL>?b}%paWmZ^e!&dh*?z z4ypVRzZ07_)#=}v5S4+_(Zz`0<)er-Mj!`NQ&l&dI{O^><+7j2>U_?%LVaK(PcOgNFLeg^sbgHR={0G~lzbKW=Wo!@bd- zypHJd5|mnycALj8U=@=mFJRRYVU^+Eu!>x|VTr6FhqvQ$y1se|=34@*h|FfJB2Vfy zV`i(!HBqa`ZHZQqUD90LG38XyreLk{B{&#*%orE)AgEMHWjTSkN4Fm$^_I?SJ>QAyj+0l;uyNl#t zXiA`LZ3nSyfwEi*locHXN~j0PsAQbv0P+GTVo?SNOsW>v0|>>)3}dxu2W`~k3(*$^ z2jxao+M-*{O5rJPHK3%Y(B?IuleQG zyAZPC;UG(H7^{vA>(d8xvM*MpwDcY=)^bR)Ipt-LB0@!-9P=iy(@OcwH*Q~>+PHq> zW{T0M)0Q+2m15bBUGyp!K*oy{)PmEnnQ{&%WncgU1a0!JP2~}es&b@JGaNHooN8T+VE<_ z{{Jn;YK?$*60NMd+fa|Y$ERZ2{I?(=q_{h zcTs=|$FTXo5r$*O2;=?nfJ3Cw(`D$I!5Sc1o|B%M?nBqE7P9fcs*b`j)Psb=@pU(* zjJ3D|er+IieMrwCsUwsseBo5PiS#L@YARs1;KszlxLD4W8XOb~KBiiw=~AV_ zX*{Wh51&4vO_HpS1EaLgr!?smRQO@Ux500){*o9D(TK%#km?W`m=0^6M&>XYpPfzA zKjmYrKtem~qRqV6v6&eH2qGnIBPg6|3n7HZ7Q-^$$O}wB^=B?H!GBLCux8@-NN=pV z+h`Kkl+$M73PkqzW+rNd_w7JEC9=y*H({4qg_qPWyGGh&!yWCiP!FtK7ILb7>bQt4 zF@_X}Aej7OB(_c?V<732YzA>*Ij|y0_0vUf(!}y|_QV(B2NBB4idwGJWbyGpr$Td+ z;BP>eSP>jremTo4G6t(2E2#<&>)Bph!_Y!I-&bF+{O88|D0jY1A~e0*ZN6H9 zOgXPhdI_%yLWc+5v+6PvS7w^$_=aCgifVS(hL*+W9oZHUW*`QSlFS`MuopLkg_g8= zCujHOl{S@V=J>{NNKDJn367hrWDz8d{7aNyI!IgGFK~9q+q;>29`bwb#D|6)KMUZ= z6G(_8GS!7C2JDh6!WA(E#{;2FZwLbshOar{cCLieswhVQgJ%r(U0?|X{wOdkrKvGt z>+tZi-GeYy(RnI5nyK3@w>b(7{VTKa?E7UIca@ z!wZ>A7M@Q&0%KJs0zl}YIy*4&B32~D3Dgb;)0*{*dd*oyYK5)&uH7Pz^5bF6hiYh? zn2&s_baLhlaqKvU4AaWo2q>h`qcj{;hKF+6;Z#p(=?}R?zE&*AInG_Hd$;H{VoSSXuo_Kkh#kgJb~O}fF3r# zo$U$3`miEMg_CbpjMuPiOICD}uWH@t+_ePphF;k5w=6sUd_WV>p3IIHX6;w6-C&8Zw`4TH8m#zxRxS)*IN7LuGhUJXvs?*_0<& z9#<(NWtt%sgBv*Fiq!@Dk~*Wj+Gwby3SQ=Pk=QgaBZzIC z8I*e8pPJACj>9RAm{6nXUHAono=O4im8Aoc6Mu)PrP}13lg0m0=VG{mXl2<6~!VXpQ9)k&a zAz3b9Kw_ztt5(PZj@y*vj`IcQTlUqizrS;yXM(j$CWUGSb~dP_!H;%6LY{>WIZ{n7 zE>?7yII{=b@fpj&A9Wh)$cbk0@j)v-O-I=W0i9v;JwJs+V+Uh86JHvIMq;Ic%-??6R^RwTI* z(6pgibI$zlfmr|nfn#V$y9GW6ir7|%EP?aInm$U*@P>@qA>#OMzQ~-a(dJQqp;$w% zfz(0#AvqJI>!t{Gm?$QxseRQX)nfP*9k2Ftc>ob`>MjXf-aK}D$}mivK3j0Q9dFp6 zkw;|mDKH|CL8nr;LkyCeQfe~Z7ZR`XgN!<)?Ib+%>x1<0Gwh&RPKQbwFruc0;pj+q z0%!JtzIkEVYyX|5J&-@&jxT>Y=j-}(iKWj!Yn|clpmcedo}sBN{eNr+vFoV3m2!t; zL&qJCP!B@VKN?AP?yx-X#*~qPFtGB)8nReT1p<~O!+>UO!}BeSE|$8m?O0B!Ae3AA zwc%Q!GC3H8cRod}1q8Gr6;Bc;Pv6$0Yg&+v@C$wA|_-|D)bkxtB+5t zD^5(ELU4gs8riUQ%f>D1H>}&SdHsfMn>McBFg!7}bJNb$32X%1m#LPa!giv@=@=Z- zdotzIncA+gFTQsK^io8U%rx&G$u^3m{5roeF@^aVp%kG=xV>)u_RO}8o40SuZQU@sb>rsT z)?8-&_I!3*e#`c)8`rPjxIL50!gyqv7?d;^}s4QyN!SH zl`spB>O;tRZyaG;NMZ|Pp7;A`ArDuFQb=ZF!S!gu(V-X4p#{DvD8nv%YrYzr9Cgj% z@|4?=h&&^=1n)7z#^*goa^+X}cHk|gjcF<|i=R+SAru^^Brx3we6TElX$?YvxttyV z=dtIBIZv-kK%}K}$@w3GF$eLu<)6xqewlh0#alXz0Bqc~#Foq%> z{^bc63rfA4jE6%?ZQG$54ofv8{ZC!$_JR?1ULy`(i>^BZrui2sq2Ug4X$GejhX zpELIy=@6RumJ;h8NGugrVB`uIT;`mDyRps^rdY;qB=#U6ql)FzmC|WA3#?Z*gToFQ)g^Qs;(jvq4*VCrVdmwrg)3Twb(rhS~>u8Y*cv;b=Vx9nnt9DxN?PwLg z6Dm2+LPR@T(Hx5cBV8#*N(&|=S*=z${YN!Zu2D!SJjiedV@|7+6s@5;2w6t1VcG(! z(O_spmMV&lLohX})HNJIffpg2uj0YrXezmz0iOz@DY1hMkPE2oKWeQd_2F)~n_1!8 zRt8#DupH#iLx6k6Si#NBdK*I3Phm3Uawtr02(zYWW+HF3V_tkAE5VtJv7RA&3jD$X`WPa0Sp4}Fk2uXa*9FJdkz7!5_3QrKoy5}FnH$&Ri0_fq*O%6 z65~kcq(eTe^VfjI&evjNhtRSaXt}H7wF=#0eS^ak5Mqp49kF53m_Yud)$SQtPjGc0!82Oq zZSFd?qouT>(qP+*i*5(PIxvz7ms_O$&_SC2!OQKkvAML>=*()U^^X?xr8h`3sI&F* z1lq-vTyCetbd9Z-*E~HjYDa5&8(&|ChWdkmDLW#G1D!&zeK&ZmeV|kGw}ys}QIZ-y z70C%4*pCip8%%BlEI^+Ty&kcLOK4dlMS-qLfl!B11F0z05`s*mfba<>kvc~a@peFv zeTE}5kc`Wceo#an`?i@<8mb)y<0HLlNv}6KL?!7J#}zt{)X?s^AG9-jo6}^+De^TP z&$e`Ix@_q9>4<4NTGQM3bQ~J$4H{LQ91_CO1WdecVxM@ETPq$bduMh}5Ca@Sc}O?4DPmvLZQU%yNK` zk=E+C5{qdRMxbCKYSK2YEkaU@#1}}rPyM0L-B6cJLK4$Y^g;(IL4K2+s+QMGq{t!} zmeU6vB9wH$p=-<-M(E*9ODo5mPQ~JkIhHfbpqMk>`(JXZEHcbs;xkSN6Z^YhoX~5Q zajbD`%vxifs+b;fyAtPBq>gQ64W7L1;)^cYU#87r92lh7PdaQ^!l^(ac`T%OeTCz^ zr8edN7!;7utKC22{(W9I21%akA(`mazFg)i} z-U1ljrQ#_sH8jL#v$nU5tAvasrpuurc008E83#BjqX-vgE6A8VlSSl}#hw-nF2q<< z1e}iRw6z$p#^i&)fyL9@*?a#({=J8eJhfR82q=i8Yx-DB}T zi?JKO^Q~tg=zN=>ZRg+8&(81Rf*1+s-uBHPCcY{OVb$`3)d_xDI6M|Yw1*uJ5m!dY zUtnDsA#mTiIP5=}twn#-CGwtM35v|$7|SIxuvaY`D%HRp624_o^zqo!2Up06kSk=# z+*!sI@`oA*=&ys9X89q?IGWzg!K=D^(1`)1wfWh0^>f{HwI1r~Qrp$Puw4zjHYfi8 z&mKp}lR4&LG%$;?-3RxcAQMy-I##4PO6g3ow~llLkU{Fy80mCUp33=<=R5_J7akF= zYGa5?t&pHJzG0;uYs0Bs>{boSQtZl*o;BnJXXGTEzC=Ed=2v(O)h(L#P}yH=oa8s{`d zVFtu;Y3v<#!RV%e*g}Qmw)TW8CpK9Tpp4X@Las3?G8638M(&4OxoIR*z_6(6jd}$Z zJ`@1C&*5A)=pd^~A3xx!GpiSx3wFa(A_t0+(C3Sg$q2nSiwVkb#D!&sVG{BC*ochK z1n<$|ecp3~zZ1O*Ryv>(ItUDh07{c#1;qYu&Zxwc@6Mf?V(qumWD^Vk9SgP;sLRIW zVwXO5lu1jk-pK84mENB}-H922&#lRsf}qW=gG6w) zE|&gXZiR~J4(Z>MU%L3Bi!N~5k2$AV+A(t<-^2(JPAhHH^mdhL)f5ul0ZUlPi33$8LT?Kn#IorhkFMHX)y8aj%s-ByM$Ss+rEXP(VbZOp=0u5rEsZ5$7$_UN^u zu7{I>eODc$BX#+8FdUU#r)^$k50ka4OkA>mg#l=-MH6(P-Di%s`;;^94k0;X2?)u( zZ)c|J0PKijvxl?75|Zf<6Vh1@a(+6X&JNIYFh1#pMpx*9^g^%2BE17cLkRpv;vhch zgcZTAa;7weKwBNCNAhVug@eNtiyC=Edn}kxnF~1p$%Jq`tq!TY+L>8ND%W*v+Yrt< zp0ZeegVR_nGFoZL$aI#;sGEV?E*KE;Cpy&r&vr4Z59BLvFW^_UzooFcP4xny& zT1G3OO>P_Bm*E{1_BQAZRuhU68cTo))c++HyTS!mpbszs^HbaU=nsx_V762^iiQKk zPgWY(_vf=9%>3jpAbzK83`Res*g)Y7&u};eDNRbiQ=6#;+6&s@lBW!YwA3Jfi86YS zp?VCH2lJWyUKKr;EX!LBP`fb5T2dAdR>~JB^8#g3xaiY}GOc>}y>2uVFH=`p^<)Kc zt3xv_&KQZT!7oMx7rRm?rt(OF1QDl;q?7BM{bmCyhs)FiF`xdC&Lyu+-BHZd2T(>G zjGtn+@7_Ri4hFC5)6=TxIO2GzYO*>f9QaA?Exn+%H?%l{h*kIKD7R*LZ-g?kjg(5` zgKP_{0unnRIw)^1WIz$YNv2{JUg!Hk=}=QkfbZX$NPRZ0C*omWTsgyYe zO=h>!OeBCz7a$*lmUN^k&fBC4sWV`C20SzZBxI{sarXN# zCG&;|qy?N3_h=ZATI3v{d;E$5NF5FOVMb=)?9(;sO+g)w!!ZM}?+1O2ypOP2$oP7- zLAh{3&WaX;(l!4S>Zn(AaD6AE7P~JQ&Oq7f@Vd4jNwMqTH0S`Muv8z-L}-l=qrkl$ zBVYoHR6yWP5fSWRGi0wKShb?ETe|@+%@Bh*CBz4q3Vubz1hS*R4bKy{fhc6ddNxz& z`4C*a4p;a|r}myfv;tiCV2V3X44S7k$nZtE`Pj@r*0D*=af*-va%|v~0enmu8_eBz!P+p!hd#>D0xsulL5G3imQ(R8Rom`pz<9@0 z%6rYs4+nE+sQi)D>Ww`{V5FQkf=;+^9MO^1nszxp03BBmVXD2*{GMDJo}A~dO$A7O z-r7_c5BCYNqwF|}GeF6lT&YM~FIiOB7|vlQZP@-=8;1L+<_+@8#CR+*o)Ho&Ywb@k z{%HH{8TUWDx>_lDC}h971|sstsX&wVAK|9rv_~GWZ^CSxfNkxKs6jsCZrT#lJcKTC z3%BxBr)01lM29Oy#7W=3{()iS)SwQiF6Ye|;gc6s5efbas>ljh!*YQtyP%4!dC^k- zQSjacRYYDZqem~OA{NLOR1r*vl1G}flPXecGMwc643=au^H_CG1G0KOLYG$fpK9a8 z>oSiFLsRF3KiLjq*GKGckVowA?RdmK)PrOz&(~af(M1DdJ*QdLR00ecFM9PB?30SM z9-SuF@2HGfw2FH`mup6Kqcd26@REud!K@38T;2eO0=Q{8@`Hz7lDn%OktpJ-z3x*k31}%z)+lP37VM0*G zDc{x*Xx`6N@|&@ss%k5gk*#luPFFtmg7KNOWdxWBf(&x~b8D{!ZTn-HRE2}o_Fmso zeI^hV>vX_d&9of`wPhE!0N90L^<3g3ZJ`dHf2SO$flt)lvdw>MF$(7epcH^x;(P;f)%qi9n zp#}`41(HeMFa;rPspSD%)$!y7e3Zu+9{~@pzOhd$h21Y=9=sm#`j9Y?p(!3**$!gY zJb0tz!IK?%Fw}#NJb3PmlZyiy)x+}LNG(f{>FxJ$m1kSMsCcA+ zLl$`TP$q|K@kl0*KlI8ZB4IfILw&_76Su{xEO&UWsi0Mn_ov>78tJreMs zj0@{B_hAU4On$ryU1A}8(|x{ABfsF1Brd{mSz8hMeQ5f zO-gs7mZ2$8``Q3vpG57aF1hHU``7G3MU+mC@r7THNE0IG7;fL2?4{!DH0=6e@r*wWSxVplFXssaHbP@2d6)jba z(it46g}rau0L+x9Pz|JI$H+Hh>Kj9lBdP@P5(rcXRY~S8#3JQbQh{-_k#EZ^bKo1~ zzt$nNc}c++1c47{(|$-x%|-Q*Iim*-t%mg&CA3irXdHX%V_aZa@3I$b!>fVE(46DJ z)E=bn#Ke}18I$bE%N5EM?6OlJB9ETxCR4d-jEv9~1lH=x#^g8RzyS`0JcCpxT*d6B zjl)|Jb%BHEwEJ7|5Os&SqD0IY1Pzubkpp_pRS7q28QzdWk`;ckRzPH-$w!40r|^AJ z9cqMzGqPxA5KVxPh=HWF+E<79mm!G^q+@Q=0#QkGN+}70j zZPEs-?l$_tHAfPgI$DkW7MgKk3mawbcyZhtsZULKGj5va-|XB)0j86wW5x(m=Qju> zQrx;->eAE+L9|*msi||bG9Kiyx$4x8B~#G2vU2-w$M?;XFzG_XifTP<20YK?N%tsm_Pur zHIOZxfou-JWwQxna#0q7XgMjVD7!_9vim!VvQQ6_i84-SjLIxjzY?iJ?AD*IsK@8C z!gZvSQ+b3cO$8g34+qH*p3z@JU@Xs? zXY3sY^9WyQ{X|`%%} zHc+yA!ODG6vOjt4VcWJXTQ_Xqu>plu zrgm=FeEv)BJPmqcwbX-z!c})0q`I0!YpG`;HLfSr!5kB7KI5m54AK9~%W(M|E=Y^$ ze-wW?LAD0G!oQ!IVYSe5rdqhq`&V!$vw250m*0`wzJ5b~M|ShZ_1O*Ew`VtO8uiw% z-!Zx&yJJ&k+onz1wy)1^SfAOrExUEgmeJg{Tz>PmE%^;wGdrRMcOJoL!UcCGXmqQ( zE4br70GtxCK19e`;g2(n&_uLARP0JSTVhw*F;7~Gn07lN-LHx57A*~4j%HkH6BO3L zZi(PZS_T44C%eT^J&?A2(r$UMqumnffwf!gN#N$ZgE-rv z6Uv+AmAGdq;R8eop~@?g5W-ldT&R=+{^xc<(kt0)8}Bkn%aJ1$oTjNG9XrQW(XN=b znP6q8FdoFju`>;>H5`V+2^^d^3xxz_J@TdLm%O|gW&Z(NRQ*ZUsCu{ znDRV_Ui)b9T89)Sx8Gq-GIMAej5IoZXS~1~N94z3%)%XvQgM8OjgpBO%ssO!AY9j2 zfU$V`a@Tm8v3UAYFyPLVNO%gp77tH*;1X^qz5wM>g?rS`Mt$wkRJBp&jM&J48srA# zRCUNQtxgddJl&oMh{e*sb&aLhSS)?73oM0RvsjYiD$M5HW+ey_s}%=@E-FGiG&Hmu zEDrB{9wm1Jxka;r^Xi;-WxqOz$?-EZ>T%Ff{E%l5Y|_r z*J91@b0|d{r8~#zY|gHU)11f`k$Mg?sNy&(&Gk`TClK=aG?gAu>CtIJandW5(m6`c zg&jS0O0qSJmz)WabG))s56pabe#m0F<}}q2WroFHZ|B~0mFIp#_oKHxF_7ZVd8ix3 zF6KP+nw|6ZT1BPQ|MI209O9JvA)ye`8#YxhRf{|hyU@v5g0m#pd&Tx{1%kdxd9&!~ zw<86k-S(ojJRiQK=It7%-K5cyJU_+67+O4g#R$DC`1p+%3 zv62*|Vhd_mwi`|%B?G1EUMq7z(JGF5K^4CnLDe$F)U`^ZilRKk{SY6gJ;Suk|MKIo zbNxH9=i0a{-qC83LuCFYN#-msV~}}>b}X5Pz}_#w@^%l-noyGdNa=u3e*JhU|K}aV zs@1DzD~P=^ri!>{@%2}+@de)aNQgJy^QwS1KG%vj-n1LqsX#$gT!suKY-)i`4xLOz zW+*b45}i%LWQRA$_-fdR6N-;B3q5su{xo!{&hA0Ts{Y1u2i8-kr3w^o`iFWT^VREvF~`s+;4nhlchYJh3-5sFD+CON2vJVn46^3YjwWB6K7FdE*1a7nH#x`Sl=xM4Zn8(q9vDEw@BwjtmVdU zT8c44;^oHQ{MVdOc0k6OQ;Rn)`OflJ{5xB9Vwm zu^8Bd$|X}ka7EEN`@faVP(V5-PRfXUjKozs_d7%_9-e5_l%G6HnZrn$a=dA4RJEk| zTO9I|6hAlUsUhXi9gFL<1EeF;%#!&1mPSn{m_|!PqfZ%1>>x}h;uB101UG67#PN`Y zUW-LAkHKfUe_xtUW?7k>$yR99hr%<#ku9}tlEELyM-+pDaEDZ6s=-1Or+g42U8|9N z4hVz|ecYkIX|ji1;uBD4BnP@6pwMfv2{yj;%I++=D-&1sa9}IpibF&5lxsWR@En3)fg{Mu63P- z(+;snic5DjL_?KbzGWx-5vMb;DEGH4<(k1T#%4!stO zj8W_A&V##-A!9nB%St`2R119wThgqlA>#P(CFl@t=Ahm!JH*2NHW0rQg{{rPUvMT{ zQr;}?m7ys8&EoSHotI-#$`h7SOyf)`&p)q2x1BbP#wUVMkKfn@5rkfgMFdX_4ILsS z2EBI(VR8t3!0DnufSnLUPX`YjI(XvNov2L72eK^1P)Zr{CYvpCs;-73WvXn0)r7h> zF&R~vT(yGSyIZyyPYi^Y6>i6l?>(e_H`q|7!$Ks^Y85I$4}UHk)3EPanqMDvh(l7= z`fi76h_L$??bQFN)1_GS`rDRX&5)R0&vryT+x1To^6dak2jkOrXmo$j1#O33i$&Xy zLQj)>l(cg|wRB95Y6ff323pKPOPdT@%0*~bwVboIcFH&%ss0|836#*5+>dxqZG+IV zJ2eI-D${ZT>3=6^Dc+Jo|Ir}_NudL_!-n?4w=B}X3;xNcza;lV8%#K-o=Tk9F_=EYrjb4DLzWsDkmmP0L3mnQ5RBdAT}Y*a$R~s>G39!Tt*W=Z z+*GG7%vYiQZXM{t6}LV%^T^C#VODe2@k*r>6s6YREMgvtjTmfA{R_rywrxNBo59x9 z11$uh|9yd`{iKMKDifr}fa1H7anuaA~XKivl^9tKIaO!Z4BD#m$Ae26RBVKBDg*Zq7G%sMONT z;pQBe

s)iCGNHBIKx48-^C6?fCpm^YVKs(?rcq)1t%8xjN}>rHc3GLWf}yid1*_ zGEX&wGjioq_&T7!HmW6jTY#JrBiT&u6#ZJm^v%BLqUMs(N~Ml?B`@^Lfs309C>ck& zF+OqzaX#ZSxU&#@s>O*B^5!y=A8xKtcVN)*9aY+eE6bq2XimRCrDpiXe3emSgldVG zW)57^9KgiX&DUAY#on1B5QRYNM$O)xmG`oZF~D1hY*G|{gePco7kB1D+2uSM(ahQA zLY4fMoYRz9YNk22Q6EijPa}S5rnyr7IO0{SmFh?VYwMC%1(K<&x%y0Vkt)VGVxi1p zC^OCLoL?Le{zt(B&4mhX^zD`M2j}JH6*LBD?OH(xi_J6_7;h3Vo(FAT;+1EbS3;v# zs`(KW)`(`{ApjmO2cM5(n7~LeKLT@Tw0LHwaCvhf6+$1ex0;s}K~W3xjq!<*fa-u) zzCrOHRa7P+fQ$GJn-Vnr_SQtrYvd~P_Y79|K_{^az)-)GRcoRs~sRQz9F!SjStzSooGn!Wy>h+1*&UNc> z8$~&$P=mfaj6y5xW}3_BN$voiL{4EOlmxrYH0R)c`sVeUfzO52(VPRG?pW}*81Q6m z63L$Os>6s@809v=^Xm%r@e&%FThC;{MfrMR=D?ihb)d;{RPE6084O^gHUX-inQmTD zo5JGi%t!$ddL@d|n`vHFsu1bVuOY&sKJtPF___u}UCH0o*O5|%irz44uY+hre=zZi z-+*OCA;o7jCeXw}^bVde;9tpsX;2S*QRPw4fDsH!NK_!I$axMaamFwim5k!X%UC3V zW?<0f!NODMLc#OuXk=LqPn{a^5KCAZ!AT072quAXwz*hm1Ol;^MwLvPZeHq@PtP1~ zWSetzf*vBWD~c!`Mdt2Eooc4S1_9wLMyEhpb&lc$nT^)S!e}mn9h^txW4TTiaUP0! zZu2VlQ7jLL*sR!{)x2yI4uYB$ruw4vH&owcgE;ksojfD*g{}Q}Lss*E2Y} za)aj0zZ5?k<=nhv<9gFLeGHmj+OFvq5Zg4~Xf6@s=j`IGaphl(=2~|4O8n5ENf|Y- zH!mki1Oz_9+}sEl|GRn>A#LXk;T(!&ZV(az8I!I9{n^Aewqi4E5<#|!=C0*PxFY+@@S`d zq-S}Q(>%gy9^F|U*;yXdG>>SSM>EYMIm@G%<`GPD@29!v)7d>i-OVoyLXC-OVHm=H&Dl$Pn{8rm?>s#2%Qk z#xjP*=Wie`$P%nAGyX<=G5qU7xc%G^wswYa=eZ$l>kQ$@xgl)t4B>g_hOnbEgnVZR zg|&qj6@Ibsrou-GA1wS`;fwxKV%B+d*-Do*T~5-4@;&&IbScy2^>q1Jx_pc-AEL|O z(dCPDnMEx6L;AFaKCPn53A!AlOPwyK=t5z?{!i0|f*k!1(uLNP{@3Y3>o9*F^Z0_W zo@R-+z>pEy2I>x(W9B)fp~836bI@DR>*Lu%bZ00BoATDDzqAP@{ zh6CGC+@2TQ1{|zbbl@edgfUXss4N2WmR-d&hiR$R92iH9vyobH9R|4*C&V?DN zmuH1lVE;m~1RJD`9$}41kMojDzkj(hFoL)JF=}TPY~X5T#xLLt4Fvvith-r@lgR;b zz-XCmR!4YdmQs`WG$-GfuwQ5?z!XEzumZ(j1-{XoUC)fsqci>~YL<*DZ|1;!EMPc@ zd#1T(T>&o1bx0D3vytm+)!aIEzmL(84gC?TUh$EPJ&KuK$Bhh+)1nhIN+|L@YGp2A zSK*9rAb{M*{lY7Z>ws}kSfxilsD6Dy{MwwqpD;w3FUhRZkMfhv%Z{Tw2@vW$qn#uE zOVF18O1iw1F4QIeF|>G7HJ`H|USN28 z**UeXuymUA~ z=c{ON=K;Q$inj^G^ga~||Ni3yj%M<}748(g8FvH382l8tKjtEl`5f5pxq9rvDuQi?G5+J3`pD9ALnPO18|UCq}SmJ>KRqtVZPET>ucl`Xs*)X!bEijTCPJ zJ>TdCJ#WCnnN9*M&Kh- zU)rPe>+RlPBwoLV&Nl6_?%Ml2?8KBxwCP4p0lnxQR3n^2OOBXiM-qSIOgzM12OGpo zTc>e)(o5s)uy#ynwc%S#&q6;EV)~L^L3|1LRM_}Wd;)j$drFq>N*y5&5!C{woYU0` z3@kYhLtV}T_7q|f_|i;z!Ze-cG|SX13gjt|R|@I*X>$_zRC~l>SfkiaU$`La!jsJNoC`)2L&| z37#{dQh&Bfly8lR@;TV#QO!lD{HJ@xkwx<>dj)ac(Y)YD6*dmi2w>C3#r1o-#PznA zxL$yLs!*E|g#T)<*s=(JcdsB~BfNw4*xA%sam?dg-_(hT)N`?RPwg$AE@IP{Jrjb~ zKhq`tx5vc)3cUlEZcL=7(1SGgRe~NwX5&-6qSDUBCmF<3Xil!!Fq}HVn|WdEqHYI@ zn@V|tOy6CZk~?DJ_-eJ67)EUxXh-uA1pmL}2>yp&L0EGChMJ>(Tanjn98T>zvOjge zLxdXEme{OrXg{Bz^<}ho5Z9!?3{IT&F(+bqW}=uzlu|9NHla=Hk!e_h9wap87xfC_ zyidcDO~b%GLbs2iv~$^tui;LB73g3l3`_1rWJd1o6`giQ zj`a${osl-Kvrg`^F9b_trFeP(VSAxg*FAu+y-?ni9zfV$P%`YEgp=(Bd)3-VShsK3 z3emp8fXl@#<*O98gs)vw)W>Kd9-|98*B`~F16L}ig>+=Xeep8<*xJ`LEq`fV7xfjb z33-al215^irMGm!fSnu}K5aGli%Fx3orbGI$YA%wn?!@a!dvB7PyREuy!Mw74vw5( z_0$wL0B|nsAO*VE^J?nAZEBDsYGfh$CW@s>eQjz_DMMMub|I>ZPWfU;h>S$)f?>em>RU+a zr;fi>5ROkn#vddMsbNdd8`lQ}kcWecM=q#hc0<% z=ul`LdDtfSP3u%tJ37k0MLS{`9}YdEszVux3+XgXu&FbseD7cR??3=j6aI?e3%Rf0 zJIkx)fF&NeX%YTGDBAaR0N>4)B8NFOszn5xQJ^2f2t!>7YgLwfSG(LVM+xpHk#+J? zu>1uk7>-X6uJY<6nf0VRPV%|+q?}VEzZUbe3)#gzQaXr(Ez!;eiBpmd}iPqMQV%CkVMp=^9C5Rj{8+ob zXSqI%KK?|{(auQ&;h7vlQA?%GUUC-Fhq5gp{M5^vWR)y2;ow#I)G2ub5<3K9jZW%O zaz{EOIzEBqser%MNrFVeRd0*1(trpq6!S>Wig)-}G=8VIAqV*|Gf7?6AoMg20v0JO zm@{=6L2P9EBs#YA5N! zR4M)bG?^+PkpHYt0y)Co*Sa$Ioa}u+s79r9B`ygk`{FDolu;THGGO?;2TmqVsh%QY zRa{RTiCAW$a^z^$xpgYYJX}tVm2mi<4x)e^LDR^zL>@ovt?7fapmkVGf!u)6qm3;s zE65BYwnKD!rd)iXW^}epCJTTcVz1!DpR{gN0t4F2$P{5kfwi*LA|))~hQ~4!YcWJ@ zc~kE*XkBmq!8)VJle9O50effcnO^WTOOj%J6w*i8gdtG|nTW_{K7PrmsK`EbSo8w2 z&o8nCli^TSY!_QsI&@{XOxAqxcmW=Xu>y1%NGQ;oN~hKl1_$Lpq&14Xft5+3$3aqr z-kCxMmNNE1Z-uc9lNl6K z7S?6Z_nm@d;>U0_e{X2$aKsGR?ctbqu~MZ(Iwx>;

JCiW48Sq@jc*5PCSZ6|C8? zY9-N$2sbU(JfwjnVMFU$W75D%N+InS%o2(@;DcKbdgJN{Hyw3j$pjgwEC^0-P04oQ z)1`vbSnT0VO7#hQ!H@%9351SXP!(2*`MP*^d$v%KM07@s4%dh%pysvhaU$uj(}SWX z108zO&9X#m!8rtujog$=IdaT;<g#CwL>YhAtUkcV7 z5$ON!K#v{E)BIKBfvi{IkpT;oQiF~1tw-6oX4W9qWUd4KHpa$CrqaR#ZX5iEd9G8& z8~&rhN;pOfj$_LmJjnc}3~uuEaE5rqqu_G|-VJz|P%=ZiWXLknjLHWdVXxzaCGl&J zwHj-I&YXB#2m1Ht;>VDGuz79!aXakS;Xy%78#^?gi2YW(>?a3m*zbQn{bozxNA|jp z+!n#lpqPn-+!le}JGcEWr=vr~t76;F0N@!D}-%yaS(rRnrxZD=MqJZm_5@1+r~ zkMoLP3mg%Et*;A3jAmeogWq6a(+NvrL#RA;7YnuFA(sk^kW(Z zXsPdx3FOLYjBwf2?Z#`GP%g^$j|mETUWcX=ao9~Rhsi-24*RL6(;NxR$o|SnNu

p!d#OuNxZL1J_aN9%K<4*UMYYRIHC|6*f{eC`SU5k22#ae-jo06@)4( zW`WMr$sLS#BC`{|H>@kBkh2Hsjnh>XidmSe$TdXEQ(B7TV6ej51W>jQomJMu0-JK) zBFwZnGC;{iEq)h7!lx?R?BFG0pIcn^k;5|V^AcvCAMtDmjL3dU^e1AQ2u99`iB8Bi z5$L_M%})&t9oGw^J;vY4^{|eI7Gq}VgtN$nO1^?KceGQLg>peH2CB)(4y3$?Vp`Bl z?5v6Uoi#7f)`Y1#M0wmycsAvx432@(MuxM@db>cNoT>$#ym;6|=KX+HW3AWCuJ<_7ldG`j@0@XH@~M)*9|6WwZZ31G zB;&UTohZCQ^&k>4kRWcN^??o%F46iCK~!H9Q!R3jSbI)%B|pT~ z+>F3YEJbh{MF-W=E&%rS^p*u;h}p4+lDND>ffZ13bV>^B-arT({^$9^;joLtABvU| zin9pxA2`tCdwW(Ng^Je69BmaqvWIIrU1JDMM@1U5#0Gvf!904X#0rQ4K7}HiIx)LH3GeNyxy`uyx6Tgt(4CcX1st>pG;BXkM-kq{D(t8w-+y zZrOs22!Gd_i8QsNg$21Zv>P9oG>FXYU^qt1s04;%o1>^g1h#obkjrCY5_=~XWja!> zFr{WpB9F~3)x1bF7&RSF4u^t0^e!|?9Vr_!*jO%c#6+Egq(WJ#5iEhjTVoa4sZ@1; zVPhiUA(H4I`v>n|BT%UUlapM%_)P~j@qUP^U&BlpL_;BnN#)aI=P$x&cTYJ{SFQz{ zYD{pt(6uR;U=)sqXs;|zmtkLq*60%xD%MPe?iybh2YXN=PVOb|4eWO1tB$}4RmMbWeNP9Ap^ThewwSOCTBd`l z@H&KKuzCr^OUs?BU+;k0hzoI5=W$5u=Ufkq8U8?rZuGE5vSAuK-5HhxHm=17&hHF} zvC1Au@f0y#I#@{&@e~>B{}xzHXyHYmzsrFhf6a}0I&^R{ePO^xhfa&0qwh-FG3xZ>m;gZEzp&rRs9Z*$hrS<)U%ISsdh&!PF%Eg*9F9N)yBn zP!_5XB2w6fsHQK6$IYMzrCMKyfmt0KAg4=AIMz~~gWR#LeTKq03 zWlo325^>1wE{Dir84fwSGxao?5`h-k**-E*1TFv3PX>xWcNwS~=Jy-awbQt0eP|s8 z5sl@pT_f$>-@;L_EQ13>DrrNFi)zsz@D;1C%NZJFr!x;n4l-0{<@;Sm`7F?{M+|646pZ{70boj{m!N zm8WoCK2`HPK2-*vDm+tsxK+6lLMy0{p8>Ifk#lHrX8H+O%-Nd-Ci^&Nd)+yEgJ>z? zoJF9!a~3g1IxPJ=7(Ee5cuqyUf@B`bEhOS zm_8`p^_>)ND6Iw6Dxx@YN9lI|y1?Bh&KK_XySV$fXel8%N1*?q13kXN-Lac$I6>On zL6yuX-* zB{9Z6QvOkQu8N|igmV>v-uqmokE+B{bPkm!Oovn=m?Ox=1VfdNm11v3PDz*V3e3Mm z;G>V2KjvcoQPEOD%txU2j``b--15puLIKZ2W)$TfLt$MiMFmdVhn=D=R|LsGiFtX0 zz*ZmU<+wX9uN5sNoRTLNeoJ7AYqkbU zpgv;ixh|%@DCQ)gOo>4MyaPSHMRa=*4oCSMRlIB}bVvm3kF_tdIuboY++#0>>X55o zUa54GffDobJu#j>&dc-MdHJ?zDdD_Cp!Ys6TlYX(V9#5JRGYKTqgCYBBfq~&l|lNK z>aydgl*(8mXQWpkVlEa^)#>xWBlo*=F;BFVa4sUyd!LJycX-H$Iz@>|U~%$djZC7k z2I7SsS9Iq`1zv9!qwOP&Ki|dcYSB_cyhfn+j@RvnC>RQKPFe4e=UOL}rGx(}Rg6pI zm;fIl%E5W>V8ndfF0ja*ljBiAPkNZ|ZbxiVSuC~q=|mAs#*Z&gbT-ZMcPE^AY}aPkS}PcerBf;ifOH2_j2 z-YU(_KEf3<_G@CKeWYp6ov~jLEhU_>2=v}(Y}YOh&s3i44!a3p7gQh#d*#4GT-rp= zR3G4p8Ty#OTOVg=)SaP^h?Wx0Pz1U=LlIrsn@*1KuB$>K?fiZVo$M5t?5LO{N-Ke4 z?pWGUsOgSR3WE8jn8w}-Mk(ztMwE8ZrJJvb23siY|FPSHuY-b6tJiwJ*Hy;Jlb_v z)G6PtJA>C+cSp?C4+QFZpR0&Taq66t6u*2{$J&^ZNMl#g9GKr9&xaz?A4Z6D+#UaH z(IAMFQ=czD-6$MuFO6hNmE0*OU-w_$n9`miQsq?J06XnC-kd`1(|Q9Tg&_(YP}MtA z>G9NQ+)kBBCRD^<`6-&>b0me&O!Q#YpWDW~p3iHOQ1vMD14z)tb>^N-<} z^hCY(eDlV@z>TT>Wso@B-9eEUR5Uq-JOZ_WiQ)v9O#PZBmpNCFp|xafxPGQSAQje+ z?=Tgssq%5xV*YE{ZlZjeb8s>Zj;Jwjrg<3*xx!3y?wRq@&KmHHTXT>SuI5!yVO=xd z)kI;B(Xk3!yRNJncZn~elP*C9IX4R&v7M%>5TPNKnQFpz)KC%Pk4WhF%-^9Lt6=>O z&k2dQRq$c&5>GMyD&S3_-=y@I3{3%7%-bXy1mpi3-U;OeFRaqz=%T*CP9qmm4-I2( z9zu3mWGY}SMsDRw9jXo$`05oL_vQ5|pLitynse;1IX8eL%U9hkdM(kUMAvLBx*VZ( z8Fff9xVj}~;dlq|-SCJe{i6hq)7PAF(Ju!A^i!tK=55_zO!QpBlZc71RR@zYqA?>q z-zRXC&>W6Hzr%svc8M7&8{Ry+E1y^95YV+MI;t-6XP!$lwZ5 zD{3xcv8gSvz(~>s1b6h@f~4Yx7^Ivm{}_G@@nJI__@w$dyif{pIysdn@~()K z6CCY@N9kZZZkAD|26=V%Bat~ia|ORP@`DPEX}>BG9-X566%$pqhXaikNwfO2=#`de ziz674lIpjJ?%M3c_9&@-zXQlblIl@cQc>rPd_oB=k8A4$7C<_0sw^G5YU`&PYYw1BpEzD3h0-bJ(t;-Zuu( zoa3QWUEmrD1LIDik);CH>)<~?^+pJHBv4sbr*ev8@FmoS@yI|9KCz-QB~E9+;kiepMBIBG7 z6j&Qkk7`iRUd`S-=n;h2JRHGs%<==U3OH9rtfvY|W zlb>>DWxZ%A;kq;eJ?%hmyDp80?onD$Y9A!olcS{~;)xKROF7Rd;*RDjgKE`aj8-mG zvRNqkDN@%eM`lWuysm;Uu;KsEM1|)0Av49=uzT?QwkoZ}y9ILOBuA{o%Tf0e2- zHwEn+?EtnL#@6aaJn$lzb* zOwFqPyK`-A@X$=rVtE}kxZ zJ=k1W_s(qeGiOGS>W|_cwlC*IUk$gDtv^NjLlj6b;j$IpnZWm zOCI$g@L4pkp*XHweFT+?s7Nw$Dvo5QM#>0kpLt})e>V}&INqo=uWI>VF;9=tfYf8% zDF>8A;!VyO-u%*vCh<@O3bH2GlL9H`~{Tt}9#d#zPt`|$SVNOtvj2Wo9 zbZ@3a7PBd%TzKMebFMCtiKA2al84=hea`U-e3_>jKnd&eDSXwtt|N_V3EvjfE4h&@ z)d|P1H6R?Dp;#_AmyE(jCy!d_#{(BP7u0}BRK*@S1C=m7gF6dxaHBXeLNrbLr~tV_ z-SJck_Sy(lK^w`HP+b~bMvMA|;KqE?4b}PxWl}HA9Js{agmE93)m%*Rzatn$y-_ni z&T7ued)dYq;4DPyY)T-DCtyU4py{$grk_UL#yp zcZ93zdQ~8k`je~AG#4Qo=0u|&JP2eo>Z9rHGtKLqUmOtrr$Ix_g$k}|#=gB${@}da zyn;Gh12zi4Ly5Lf{cY%b;oHqCu~k;7=11}#Jku!VokOj;nZtzvjI@{^2`X>-H_}jV z!lk(&-x!}5(cDhRUdT5nuSyk(M(NHXzQfr)XbSDEiJI5QS4Oati>IytD^zOUNcc^j zY4Fi$qz{Epg!2{|1p!}OD<2e)P$a%OsO&PV4dd5iJ@Ve<8pBjk*$%{(yUZ$`h* zHs@6{lR!Md$`e&BCKkY?m&ZUmeEMhR&=qU^+wkyV|5h6B5RG@)gg3#Uh?+<09)iX} z__PP@O{8yLzd1kS5A!Q)>6J9SG8b8dL6Z4;VdlUbe-#L1x_L!y3SQnbBZcBvp@jb+ zhRfh{7@P682u*Lha1`E9K{QuOUwbn9(cEO1Q9!k+#z%|7uOnDAhZsV zP$>hsqcupU!R8{I&&l(`k%}782@&>*U*$f{nd~4~jpXph(023EZJRep6OQjFC9Av* z-v^1GYZD{diZQmgO>;Zb4Zj8?fU1?!Ws8Hy%%6D7 ze?-K?W9B-7JZ7#3!(--zuRLZxkIZA{6A3(Kj)UYevn|DA<~S4{Gw&_&nAyKZWA@qV zdjmE34Z18Qe9fT?)!g%k=t3n_{DX9%B&mLxE_Arp|5>_FfWQA9x=_@h{~5YaXqNx4 zbfH)ce;HlKQS5J{3pt_u=i<_6E(kO+h=oX{xge(xLy}3O?qnMEig`}SiSQlu9Ha*X z-FUWA8WE2!b#4Yv&lQi&HLWuIB?3N_bhS=$dzlMM|8h}t04hs+wq~01auv9)5IBZ3 z)HBW5dz8luQVEPeitNDr+RJ8+!cLrkZ`T_Ev(+eoiv-}3Ky`(0D{;3_ok%o4NGTV@ zv$zf#`-2L>xC_KxC36T4WRkn7)og^WHpOXxbZtit3lX$0h6rk9$NIbuz=TNxu< z4~-}@7A0EN)v7tY z5kcpcLwge8k7O)Rv0%KE8y<&^!gF5`y=<`sw0&q-%9i5T*MKXS;#cV0#1UOoNEJ)a zM_Kmj(vm{~;@Bpb11qV3;}>@Mpp1a6y+IFvGxPKcM9kNt0uxE+%YPAp<4w#t%IcV+ z8;tW8ik5nz2F1Lsp+{ykJ|kSUr;wSTO@IwM5ziW05ept@`;oDM~^#Fwe!xFNv0VqOdQK zaAgXMK>tMtdi+g^W%m`PRNbiER5$7n7dLb;+U6O7$q$Pj^bwQuT}=M2Xel8kBhY)t zFo1>E5aJ>X42MpxKHE+u38#{@npuAfl* z2DRT$nnfL4+z}3NrHV`1sWu*wjtO+ZYNHD_?o1s<`o28MM^~{B8;n?HcIQ6+vT!NYD3=bekRHO{HS98`7xxy`Z&xC#2DUFFCU2+>H){q-rf>6%K;dOv!8RP~eHs1rk0rI!NCGJG_wRuKh;e_a0AF*(yi-n`2rGx|(fqstz zJwDUkU@Egm#pSV9Ih|rWFECsZJ?kTem%11(ik1>$I0D_puxngM6C$<|6PZbuTe@jS zdvxp~A;OCZ1kZwdvUHR$ljZE2Qs6kh2?BVPn3g^gz%rKrnxdut2%04aD`T8{?ik!- zD2zwjZoKoh#;8S@>1=}(FA_Yu=q zyO{o@XelA4BhXz;cOyzWtUDu|;mVzE+KGtlh*V1;vO_N7fbZBaKf*2^?6(L}cJ9Xo znS5JJULVQi8kbD|S+vw2!G2Sac$AFDJA!pItrPD}&P z^G+)Vpa1Xh=p49Iy7eM1tpskp+l*Up6Uq!D_P>rT+A+0(2eyHi5+0R&>K=|slQOBR zHw9ZA5yYO9t&F4ZI+v#oiDvpEyRWCMpa^2@u8>60IiD72$&3CbMN7zyx5~v#MzoYr z+C-o~=s=Gzv6t$jSa)WMCGzCaj=Q4?TR$T3_^@cdk9fS^#p4;#QbIgNp!bf)7010Z zbbKm1@1m0+Uz6lZgg??DbZ3w+(n@Gj=Lo|REVP+ zC=-d;@tj8y|C0P#Js@!SO);`Q;_xOHhhGydCB$I_x{E{CRPE6<9HDbphIG?T#ITP@ zsMsRejhSq&-VKY@I1dn#19|{Um5N+orj^ke=LJD23m2cKW%SK1rOXp8C8U%H^xkp2 zGPFuI>wz{dzs`>eyxuHE+eZ$(#l`Dt(NaRZMxeWR?S?ZtEJ`CrwY!*c+i4D&Md_yW zq*=$M>CjWU7Odma6}66Y*Qd9c^(hvC!OLn9XkW&mOFEe3p48KkC~Bd4nOvwwmShPQ zs<)bj>gJuPyAXrdz|j`AJa!_0jFPOt6hW!BeVGZV3%Ynu5a`{4Y?2bFS)>lS)VWVI z(;w^X1{sYau$4l=b$3k_<9UIa2SuNgq9(LZz179e{i3CWyc>aj(t#e|dRt0fTaMr& zXF$u{xz>*eJT^r8eZ=FCi^r;HDIp#s&=cTs9}Xqsd>LF$s_gU&A}LswwtPh3u_;E^ zM?Bu<;&EEEln{>*=&|t_U7Fr>6xlb5*B$8b#om?saRB%XaceuN*YXL0#ZQXX`-sJ17mJ?|EhWTa1bXjSTyQU_4-1uJ zxVWm=`AuN%t71HT#N0X;b5Dwv5@Id_y?4xAv8T`|pCbA@qN43n0u!4=|N6)v8(mDS7cC`ZkO=g& z13kWiTW)+E6hq$5x!vv|fy=u^ANq*PO)f6?iIx)LG6LPjWj8{ggMTA3XD)Aa(@sR# zL^#hCHr+t)Fp9{E(p}BF?KIaIFU{sO9V85#7-?ibOLINY`c!%hJ`C4IbE|RD!2KcK z+{ua4^s6cLYWqlnS<*ohaYrO@&|GUAG+UHMW)GGByAxSTDpe_rIz1?O=wU(GNqNY) zV79mnbVfAOC$TJDFmyVa@ZoG`U)Am@freL!{v}02$lbEl#Y9uIlu(pJpieu{kMB;WAiBE`@`oxmbR!k+?z5kTxUmr2C!^OlWMN0|EDFXcy4)iWqlBmf; za0y&aEkgj9nw$p&HGNIA-A5embaD7q(NaPjMxeVmbaj4@%dyB@xjfNLI}r;h!f~+$ zOJomrrP^o3F07YF20QXLw)5q7epFD$yerSss_Z9R>X;*1N=O|M=)L205gSnU0E;xD zBEJgktrlbIBX8aAV()s4sNHs&*O*n%7GC${U>T=J)k?u#_grh%Jy=y>jfBkQSXBhiwqNL6 zE*ClxqrV>uovk}l$15o-q z;&C-1S`|@f{fIz7RrD+=0zyliXS+D4h?Wv^SOj{>fgazUy56x)k;O%$bYCOGsWb~n z@PO2eoZ#x5PYdi$i(d5+ySrTMzFf4F5W5lRy<=Bx{gvU5D3*}61gjvaO_?n9^LIPy`i!UyhS-Y5zmF_|b z8rQql<{5#~uZn^85v6-wls+k1N{G@3bQh)ZF}YBN&`P=J{wQ$wLouR0;_gltcRvs< zCB$6>x{Ev4Tlz(GUW{C_)yy|%(M<7+dLyM znG@sdBPI{Hn0!dIln|2<=)Gg|${D8|-DEFN^RI4N36h{Xu>-m%#B zAf<@fZ2OeJ=KmC9>?1Z0x!C*}(NaQeMxghO&1+0(3kk_I6uMe$@&{ zuvBT}v2|2AO(jJgWz*%mf;|6J5KU6@G&bT9mp1=cG}9*=k`iRVh0uS?-^>Y;#BC2C9 z9_EUc5)xGe`sEJvwnP=#`M!p6Nj1c9q@<3jh7>h=f@;J_bar@7VDv`OlRi?`aTlX0 z(NaQ;MxghO(Z%7nA7K1bPZ zJ>U8ffybW`qw6CcPr7(KD_Tm3#|U&6kKM?O4pAf#W6w3M-FBL5&4OurI;&R}X_T+` zaH))^bF{KZPXsFqciogW>n1Er%S;*^?(m!-!e0}lk(3C{vgmm(1^$X?razV|hL6IkICt-uu5B=K?#BgU zJ|cRY6fq%d_I?*Pzb{%!$ej`BA9A3_w`La^2hp({N-4V@^vJIQdtVT(_7Qu}cd_@E zqNRk`i$L!kdy7w?IyNOBxwBE`AXrDkw)kCO@L$BZ`iQ{?Tnzq`Xel8EBhY)t;8k!( zqIz>fYg(%4LS>X4JhpvGU~}&B^Rza7(8cEEqNRk`j6ip>>FU59*8vf!;mT{bo#xdU zt%uSXY)a?7w5Q8DMh>c7W1dW9c4AK&8Y}c@dmTC;b!bGRB+#MP2Rd{&PNr2Vr5Z2P zk;95>lR5-;&Zh;T4U6ed%C<(IKIBr_ZK9d}=+kACdvF|U>^xG194uz586*&KkkRHD zfr8zlZ%I)Q(wrF=3(pcQCFHdT^xGZi@ipfHqdA$lq+#a#CNTG0(PAGlmvu3BuV^VD z<|5F0$6V{;8)9kN`VoQ02{F1p;xXsqaa^>N5RVb)z2ospN}Sw4WZ@JNp|uoiEuRor ze1#ZWAF-HsvG`KaQbH_7pu1Rfby<%(Ga@fsne4XHTxB$2I-9PO+TkrdqQwQ{fld>(6;oe?~M&M1QI(%+LT6l!2>Vk@75p&YQDQA-ay0al40JfQKHL z8T4x^LS0m}bjne2y<@7=-JFe`XI3~5%nTlGE)1$sbJfe4m(Lt-t|(XPUKVv>YwJ|% z!4cZu9O2DS_kmiF<8VYh%MUEF5LA-=m(O_3`MSI~`R%Ee`=I|pqQ~E%%kR?V_i^zG z@4Ndy@vrb3hnoY{%w!JLJL%MMVO8_8u~H>FGhKM^+2#Tbs=&2@aql+|{r#nd51iGm z(f>`*s2Zcs^-j5X?!~I)^SkgS@Sy(Ep_c0RK*0Jl&n9elx{y;;Jj92XD6OuF4d7 zv7}d3#$4fv2f&pqgPN9YQPmPJw(30LUE?N4^Y8>Zf7t&ZUvHorAHqjfExz!?VgL8} zhY$1h5BT~KzWyPu{zvKZF;J*^tiO)ho{yks|5Nzxf0{1;moA^7%by4L{(?SzmM(uum(S5<8{RE^+y6X1 zA1(|W_P>A+sB(WJfxL+>e?`CeU*zjw^Yw4|`X#>pEnlDH>z8p=IR6TN|0;d|JGyKJ zptJtp<0D4s4tiO>y7rt^B_V540 z(}(?k#uZ0m{uO^9f0~OXE7g1s;;f#gPq1abhhNn6s_OEWZrrp(+Gl)6=|ROgUj`4= zvKhaVP>Z&dk#bJc+;`Eu6#$KFbFu9qO6N9sb?f%=;tjHg_#W=xzsBibi+1Amu;E_? zmT8U5C(&}t5&R2&X!tAmMgKbWC#AsnpTTebr|9y1-0{Cdm%Aw^_CC7YL5Z?<(WOCW zw5xPENx|MH=(2+Lzptjt$LR7Ay8JSEFa8%@1_|iRba@9|-i}MdUma?8nwy;F=BBx+ zX>Mkko0w+s(+ql=!A>*CX$CjlU~L9OsLr$caA%Q>sPFx-V@f@A;pNWrv^KA8J1b+_u52-I%{t}2LM*lI-99s{fQ-dshDfE!`JoO z!l=FeDvW{0b`5>%xiqr>2nN->teD@henxAqCwx-qhnB2isLg%r3YBqhUA>YmW@_td z)!aIzRWZhz{#YuFi;s?VGF+UPDraYu7+NVhj@fvV#A+}R(NLEm!Z3UsD4>EuwG-81 z4Y)2%0r!aZOJOQfQWv}54B=APG+v8TFIb*u^Z)hW6S5CeDw9xdw>*xP!<69TZv{7%;>U z<>)!)A@hhjm1=Jb%$@8j=HMgau^lI<4g#;D5&e}MQNSo|{W%d1vafu-9V|YDn@luS zxWvojGtG6_*VNKBT^Z$qWJ=nmA%2v!O=D4ErLCr#uLV?7LR;M# z++n`u$tg03wo@_K|GBu9>XOP@iibGg5!QHu8h^SAw6nn95UhYYBmP=h*$vek)8nQG z5gflVIgVe^D~{c0o4DkDHEqdI7!H-@qENSE8EnzeS!#jccXx~6jWH2?b=|hlu9TW- zKZ4$OCP(i(dIj;NfRWy=X6SF*36Zz9`=PVgxthX$!*g+L0ttnyjd3{-pX_!XHpQL? z)N%7C_7VBGMVtqclk<+M3No__D{)}F+Wl4P}gXqC>>Q$>_V+cXE6ZJ->l)49{ z=uQ{CNr}yoZn3#7CN{6k1x=@^3LZBdLF)69BlWqxg0NJ4ubP*B>+)raeBBslAwwSP z7XRC0;(wWYh)8(9hrd_^@=`A)(`gz!kvL0RIt_Jin)3KVS8~7E#9*+;N}gOlBHq!G}LZ-rGYI=92H5|yj&Vvy69TECb|}xm2V`U zmA~&5gcT%TQ4`y5g|ZOpJS@z`#4Ng|J8N`f+@<-#bE%N|XgQ%NI=5F4F3x+9|5k-4 ze(V8+?ZqEG+tMoqkKO z<##o(g>#NMcu}`=5O-a@yuhvVu4LdmZ#4%G_liJE-e-CR;m$!1;>b!g#biBzu)R2k zMC+9s=NAZBrtWmLX?w%19r^Zc1!L7aCC4;=MIy{ZSNk7FkM zuv;|8^)n1$YtpnB;i(_=iYSZg@AeA9#dQx1VR=gJdG-Lp_F}YGKez1#Z;Q8aIJf8^myx4q}k82iTX7A28HuFV}=0@dkXS z2ZaRLa&7#DkBPHrwJ*eBK>p9uH2E*axb=aZL)S*)R5pqhG5ojU@lYVu$u}W3@}9Cs z5mA)aew_2#BN979n+Wj5+HL&QWC3wI*+#L%g_7a;&o^@QnySx!kYaXI2TkNH+po3M zAVnSBnkv=^cCng@Y)z+7J007&!>JSHQt_0RLJrD2@)B2&9UxUhpwJ{o4^7pur-6nF z;9l+}c3izwkuyP8QD!icMOcyQ4`RD$82o^Wz+Ow?UA0s$Q%;SkLd0GwUmRsgP){K& z2d=IfUh}X?o6>6CXGBc~$vDURVmgjk8%8^`ff_Dra*LEKFf{ zncAro;vwt%jvP-RzgMP=xI8cpGJT;$T);t82AwPEj5kX4B2K+CgVfd%h&2e{Bc288 zjd}G}ETws&SSzoogVwW+F|bmxj%c_{YBVHbMm-hF0TEQFOj7GL5=0dBpF*JWDT3pr zR)@CwSEnYxU+{N&)wK`{MQ|>ukSd+2q|R5tU6t{&SK~-eB?r)J1SC}^YX)?^lFFix z2U0fFi>Fm2Nk~9o9|*k&#KUmvuF53D0NSe)gR_7!9Usq}f&eMjA(8+tUnFrvBBq!F z+HizM2~7ZFQRM*y&=mM^gmV@J-}{_xJ?f1$O0=OcrDmtd8Q{zenl%xLPm-Ld zj06K72UEqWuvZ{rHr^^w)W_MlF)|y!Aeu@z8&UAR&&K8xP+j1N21>4tXQs$%%V7P6 ziqFnUK&h zz&w+g$;+9EX&A?u>Z;q_Ra0HnsmJtm;y^$G1j-ddM}meG6c%(v+=z;RqCruYRRZE; zb=_aY6#)^~*Rm+C`~SXk&b{|L_tfoM_f~f%(D-vEQ+4Z}bH498-}}MSW;knwJxq1N zO`GP3OAeL&H3FF5Tq$5~i~;kX#8NrARQ&aSZ@oUf#`VgBbT@zwb6sGYNNlKLPfQ4o zSg5d%+Efi{Da3hSCa`niWrOkm#z=iMhMn`pQaP~`e|>iB?1eOkdFYpB>lN}Zu@lLw zcS^{mV!w)FYveU4qLTyIqIS_xR~hn}mKx*-#uxGe4e-4JXV(Zo4v;-v8^hVKSSlyZ z;;*-H){orpuJ`Mmx%T2bp#HgMpayx}JQez#L?@E!=kf3A7x0HB%Wr|HDh?dK)wW!W z?coy;u2zL%H(GJUBw&OeG9w-FpxL*m)#Fk*mqG#=dMK>?@`7q7OCjm?m>{bC0@K-v zN+~3N98*XNG1|ICte8-r+K1?SRTLiEyiF6{Z4^E#lV28nB{=pm2Iptnn@0_2yiJ#5LrBy5y zOjNnOm*J^dULde=LhOBjSlAT9LQ5=_6ASUzXUD>}C>CDn0SkL6Ou)H)VW476+!3;A zS;|>ck#fFE;O2(}zy^q$%`x1(O)QlYH}TioxQPjsq*h?P4chosj4@H}UUnYEo-jKR z4YJ<3_NNFi&_DlteV!Uae6qA5|X>>5m%djBqvP z@)XMm9G|E(8+G>BpFl1=MV7SkJ5Dd54r4=+SBz{N8sbGzELksB%p$5+g?T?B1mz+k zbuenm>S+jna(L#LBI)q@$m34|9!KG z@dqKxU|U`>8m5da9H{>M256pTe-17sHmn^v3se4V@kFK392X0hY87%oZPPtJ0AvCJ z7Do)Qg^v#(;Scx^6bi8ELFRpAA1!qh`W-!?&rT14Pt5ou1{fQ|=kyw!!+=H9CdT2Q zY>z9qGMk^{%B`v-!S5<{_uo1+<`xCc+49n zy2qLEkwWV!jkM_RBgflD|Ls_zc=9M4#I0>NY+~@3-zyNBe~GU&T*pPh^ez-hMw@Fh@l-Nh~#|kvd(-AyO_4dg0@b}dZg%=Hk zav!aDYB+?jdT_Wf?2UR`H-(?mbK%X#FT<@Jj{K(p_YrT~Hioz&c{)Aq^yrw^M0{V< zeE8Dw3iL&M(;Be|+iZTjVglZMc<69|vm>V_^d|--8;+P0F%X*=hSaP_HY^OrHD0^M zYl$+~cr61Vyz%r;!ND}kS>v_K$ZW%|)_5&69$hG*nq++h`tNehETt!>yWVthUFxn! zL%Q~CqkjETbrkw?^;-O)&GJj=-&W@D@a<~RpG{|UbcafQt#*`CIN?unrQ3Fg>QhI3 zbh&`Cv(&wapQn)mM^)U$B<_EZ7UakSwh(TL+sFKL%FUcZFHg0N^MY+G1xG0RCztl0 z*&Xsv`lX}Xft3Dv0Y8asxgw>8ETO3)CkGS{pFDc& z?%QuZbPH68&71H)C`NbtYD6r@sZ=hlo*WBZym+Efp_B+jOpr(0g2#A>GjYjy8QCyC zejOd^I%*~6kGD^@H;j23nj1Ef;X-zg(v(q@dsG$WVpaNh9QJn^D!TY0{Kw&maGyuK zp-|7k&rP0GsK1Pa`t!EonfZ3%`tchIP(7v^P?7~FWln4Tp;YH>)5CW+p$BnJFj7PO zu%QYPM*I@ONXSuC6~)v-kwG=xpoB)wLO@gr+E93cQ)!ltXr0jSH;r!^^ET5TTgEpX z*(jBzHQZTfI9xg56es8_&fU z78bJ@>>paore{k(iO9u}w2p8Uh6*YFH)O06IQFQ0EarmMOXJLC%E$?Bd3$Ka`Q}Z9 z{cHqLD1N%qq6&gVzu1KHhUT6eMCTiSZVG8GTW-Sr+q7k?DmS2~(d=N1eCkEj@PJ-9 zMX8&d-OP>fD2AN20Prc><*c;>P7q7Zi*ek!>LO~kco{rUbxvx zo%c$vig2^nKOHt}(G9p~PPzeTyalKLh2!Wt@CG%n&({0omGm9Y>SCr%s zNrHEj01NsV-8PE*xefLTDBjLZKzCv>#WKKy!Q3jf%P$mFYAwon( zIx0iL^GDEQ;}BI<$2}r+G!flvyQMS()4jRzZchXsxd`Tb}B_dO^NTFXnf@(AAo6xKJnP+?|TnM7E*8K%rQ zs&)=hxtju8AS9wU00;>w1l;=s%HIHS##htFt6QX%nx1J!Ep=ftAasfc$AnjiU`ByX zWEWyVs-tT%JH$(P?a&no)X>MhT~@0I5u?OGcs&Jjj0zN`9k&W}8f?~LpKCH(ak(D+ z(kbL}U@>3>Yce~7fw3mDE5$XL{j`zUBH!en$UpT(|IY@+%Eo|Deu zv!rwQ>=e%7D7KV~C*~Y}pVd_2EAaGkAA}aNMWDF)C!x(l*W?176F!fH5hdWJqKdjY za0z;-HBYGS3)Cxt-xXATtHj}m50iU5l#vnwLka#Bq#71$(5_V?3aW-w)&{MxP+U|M zsyv-WlxnMr?C=dOWGkbxVmp%dBLQ^wm71_KG-9se3yP5Jj7PNh@tT#HN}1ooE>=Yo z@Z@k&psE9;+#N~>K)xgrc&M5HWr8KP%=w2f^vGf~4J)Xl#gq@DyjIrr=9CtVqFvbi zYQ|2OMMfpOs9KlRCDfTBfQqVNca`wBkxW&>R^U;?11xa{A9mV3Tcy1s^a zk;nI)jd{V|FTEVBw@1gH9$eKKY}0J=y+Ikzjz?`@@3Q>om1hzE0W+Z*DLu}MO{0*l z@SO!cPt({@?(V?s10FKZ=i)+GwzyVA`?yiWlM3_b072!sibbe)IOM(H;%mGLd20L) zRdr3BY!nv?>#u`b&u%<8t%$2pv?uJ1@G9?6qz8_$AYKTKdc^&#?AZMxNW4J)8 zh^{#d#}c`Ba5~}%0ff2E44p3;)b9fuhA#sQg3VFD*l*SriHmgLl5SGEB+5Ao^d+jG z0an0zj+&BG+L~9*R%T{v_!n;L4R5vRNPm-rQMG0=XVWqg`u4TDpOsV{HXUPrj zTvX!;hU+Aj+{Ein?2?<<>W?~BkI%3Ib12P{zc{(%C*A-pNB=kHNE=b@<9tHkdC!3G ztO|Y3rIyX2&Ug5W2rm$0P3X#|JEuY7w3J?{Iz&wuTP5P` z#LNS|9a=gK;o;}F0G7lRb7WFi+r_%y=(I>9hwmOq4nY$p3WP#R&68G6W3`F-Q~RgT zS6xtLoQQluT@4yip~Vd36m0?GjU3L@K!b`Z8g=@xK;oUn&`FX{l{S_JqOIjcNan%ZQ+fe&3DYBFdMYIa>|?v#R}#g@{e zBYH-p(-k%m>H?}bH6rVSes@~vQ)ep(Mu@bC=bl!FHD%63Sx6L9KtYeP2I#l+$qY6K z%>_l3h%wXMF%S zb)8bAdoFKnY5yy_XCs)pRNaR~;LE{XuYlb^5T07Q6zK3Sd^>N_)}6sehQ3z9tn}$pgJT;Xpl%>5=X^e75d6bebL%r|E=tt?1;< zSSap-?VgPZ)6ldM>gKxZ0LXHqw8ZndyXW!0<{))I^1OlWGw=}?jCaqRU+SKZe;L8G z^dNtU=B{=8C;hZd?PGBjQo>3f<4pvm7?G=k5lMjD83SjIOXwz%OH4mafPq%UexcVM z=n{6O>^Bl{V*^dP&LM`DuH8KsSw9%~)?HVEqJ?rpy@3anTm9&#)zPH}7;es?3$BB| z{5}-+0|lp!G2g=-iHuP^Mp~1J`qxk}LNR{BA0tXyIzG$F9kjHX%4C_X%){VrFZjsp zWo1iqV^U`vYp85jNr z4n_8_+e#@#vQ5s2;uI^rriF;!AoVX*j%YLnDRU zTn8;msqbnV-F{eOEuJJLbIya~CemA!2GNDeCn>b-ZVlWmNaaAAY*Lmf-H9XwX}eXl z532i%?0*ruGbx3wP8oB@aUx`gRi??EMGkQCm5^RvY+?aq(cn#R=6Lh7@Jx|<3tu)V zi=;>+QAN4bz1D1Hx~Y1K703y33WjxoEIbz2M1*-Z}m5cIYs4w^M(tp>ofF|{#>Xd)raw;?%Az2 zW^NDR&w|=)GXFn7WfQC?JdR(-`F}RXUwwkM60-eudMiD7|68jcqF*=xlfdGqG@tu5 z{5S-cX7-a`g*~&zwHk8~HnPUGzGJzT;2-iru;34@Hd_lxy5jooy_XbRwj6NdLN$x| zhSV_}nuQ7k_7j3p@dtk4 zA!i`C^vkJ~=f)jjU`J~ZaZMwPrE+`&zuFZ48N1RToRQbb5)eyqAS7n;Y6)CkMB@cG z%-Dy)d!};>;mZ#FmW~ifFBK}M;cPt) z3~3h%qT_o3-gB;q>O0xNt6~WoVzGqj7?jTxD>}IRH{nRw32sSao5_5jp(h*{))P{p zgn&0zYUni%eV&*!j2>7RLENACoS2_smIzc|!@z%YX0IMs3buF=FX zG0%qB-vS8~P7lDD8Xj`=E7OZ=hzwr9^#CwLk;=m{cZ$fXsTuI!lhs%yu|vX(-b==k z7Fofz3Or*2Ps3uQXQF~7FpdR3=W}qNoy{ux5zDocFqOzLLos*#AypKx4UQ+c%~T0P zDd<$XxRoAbz7IDhh49f1M@!@&{m5ea|GGv9l&FxN5D<*$ixkxJr!6rEM)e%QHnKCS zm>xRYH;3xp%!zLi^(F|xK`TTUkD8GN?iCYWgf2M+$Ba?spyODLlLz)z0XJ`@;8tB8 zZUdM^u>&J=ko|)aLS*z5TU3iB7!=C_;^RF7v#$!gDeSl1mHLIfLwm21uHUUI1>)l| z5N{Ss_2*>Kl>cO4fyG}xZoNKzTgdMvu##&Kh(ZY$YyK~yHhD{K^P2D1O}0D zCn_OC^3gxhsGaaF+^y6i;==3~Fc=`Csl~8)i&!crHsi0)j?E)%exekyiCRQPD=r-u zLUIBe1vyo-Ww>}fSi~J@Go(dv_6N{8RmCI)D&s>sZ;kqa!buxQc?+p4yq3W2lmPeu zaXS~o?NPB*PTa;{Z{s#*t0aV&s=eD&##zF$>iWB&r5yr61nM{9FNk?S1oDJKF^z_& zJ%U4!GlbQ9X5UVgJL*n>=b!Yeb&k1PTO7PU_oC`h;a73R%_Q)7L+Yo)AKZjB@Uy2GY5+(Ne1!F%CJMQ+dsuT*c1IHrWua((ra(j@RP8L2zCE4aC z&V$ZMNF4#Af)`FG4DccC5u&4|!&30{9L!vh0Z zR%wFJAqHsbDxmCxu+#=KwU()M^pT*SXl zSTq;!ZO3@8JfGpcf3&Ox zc(c?r4Ju-z#uF!dGJ6vV=Hy#yDyR67%Alf7ZeANsDP@08nfHPLfl*iL9aY4q9R5@i zCE`1n7EifW6m8~kd96{OskA#VrQtb<@=k6L2L=w$B1hvYn4hWoRz&B7HKtmaH^KpO zS0EI zhap`6T|#1jJRlDAa|M2L@__j3GxLDSXR+3I3!84cLyhM^#G}@eA<+G2C8~qe8&1)g zqal8wt`YaeAq$r!hg=QZ5o8$GzicPd2)=u41D63C@G#Gzjhh|bA2 z;;*;aMnAhx2rtH6cd^g|*OI!^KlF@J zqek(`9#2*8!JA^`#LfiS?s~jxp;B(oF73Zc`*fRhY|hPZsExJoR|NjSZl12|FbvOy zfm|&2f*?O~HX1hcctDkpS3h%sRkRzz=6x2?uG`KLWl5FhLqT@$CHVJOyye7g)J4ze zd=I0uf6C=!DvEfwqKHR(QG|W!i(NNV!odBAfXFYe6huC{`VcvXGI%8f)JNjPzrRu^ z{_LPm+>db3l=v<>6jS0-)?GXlyh8IPeV3;i<;9*?^%4BY#lJ?XspM&X6|PM?VRzV-iv0q{9zdObuo32&Zm_?6RcJUrY~Bt zg7vheVoW3dhu@uH!^D);F8)z%FEy5L_};YH2GJA)iJ^?|5E%3Zi^2Co6e)mQffr{| z8?(do6}Q32)8?Ba0B%LURlE>Rcq9@cyF-FD->U?KZ(Jz|ZygkbbMe>ztq6YrjPJ71 z(H;@jWmwZQv$W$pRjNSZW6M;*T>i&ozcnu=!=}}?-0K`!-m7F z`aNoUsoCGioe8N6G|C5A44fP+(USgW0#C2Q?t00_495b+;0FPJ)oo%k%~T&wpGgc>eD}!Sgg>UoYqpzBLGO8mQ0pdQ)qRc{$^j zf^|8c5a@hi!h#w2K*+e>5Mx|)HYekvFLE-ji}>9cHXJgp3)J>fGp@^TLzWShUb_PB z2Fc1xko>5?#{_nz)MA#<^j+l|@A>(>u zjB(NNoQ#XU$jP|s{O%Mxw>KOzuH$NZsTtR0w;>Gxxrs%c7f_C*1V~&YJ}J=h2==fd zZ0q6GhtCG`kZFfvQXYhaRq9^}xP4@$;P$hFg4+O?QifN20}eCgB2{sPeqMn#wFt*9 z?LS+GIp%_QeIL8w?00p~r~I>4f#)#=y>Yu2nn-M`KsN78)q-)>%jlA4CB)nP?n zsex<*^N7%*l_wRcpITwQ)0}U#kdR4P<)|v6&Ptd9#%11N z6I}e9X3L{eNTt40%Q`f1>Y(d6RZw&4KU&nHk{g-wzAle~$Da=AI17}uq8X9I#Uz|* zO>>n{Z^BDcD3ze8Q$p!+J)i&^X&oQ;ZlhXj^BEOrQHEHLKzzNmgC(a`4r^`=xG%~BbZ#QZ(5Lksv6&28zmhs zL|!8vsvB7&9=b|#;t{Oyn}RXr&04CmU!ALP%l-4f4?y`nM77Vsv=Uqvsye}C3rQNS zBZ|ZyP~?Mt5>$D~HxY#~s!66{d{nx~SDu)Zskqc%g5_Ya3;x8*agA{|qpZzT=787M zI%TA)qbcQ#uB&vHY}0&1GXsV)M5$J(=9gzwLVKKB;o@UcJvW28$3nYNp!#pq)Qx+j zU@W%k`mOTaX(eh6LCr_$7&Org#XkYYqhV*N7-GnVB81v{Qa1?dSFMXZiQB6|-l`n~ z@w5=0re%iJG-3^Hnubn$w27O4?p1>~iumSFFMsp@WnHfvo4dL;c6{hYhwud7C zjXlIY9QbOLYEVF6MWWRvYZqVy5kj^ys`9-`0QJ(90_toGsLvNmWy;fd62MlrK>YR3 zwO*gPV7|NK5ELUGPDxOwhF@wjWx&;et`;h9xB-9oVMH;t@H2=P3M_3BXB(i9C$W(FnxmG*2XK^i7bZDFL}9}DQ;EI=|q=vQOV-zApH z3H|u%vqOK&b_{q!-V$4E<%Zv)-h?xqA|_z8eNz9`w~;$>m9%cR#$Lc(l$Lpgz{B?o z;0zEC$76UnESAcNhxqGlJjDDK37yWm>wUDX;DJHa&!LA*cO6=COjk}WAvyc=)KlgQ z_(S_@z6G(>i(kep{0DkSvXQD?q3~QpBB*0Lnu2(DzlhRVgk43%(|V*zOG(J4Pd=ZTI^847+bd;idU_Y#KbgZQ++Um^5{;2`aP-zgv;h`w*&N9ESM z*&!wfpT5#->| z+tK_I1@9m|a&t7HdPvSYF*G{587-hp50jC-H2dAtnQt2>?9gkMx@ji9P%_dlB_Kj& zC!9Id=PyiY!H7aY;tF;jyvvi$8psW%#Nwf%j%P(vu3-sqr)^TlHQ=?_}^1x|u} zt_9Xx3#4}w%-_*z10NIKcK8DjX+qNvo-rNtbfONyYU&?FS_rWbb7y>4|1_Kx-meoN^R?wS7Uw2yRH$yl47U&`U{2H&|Pn~F8NOQ zv7o9#!mBe-)$6bswsiLWpo6O9IW&*yo&^w#J;}%9adWX3*Pez20CG~gYk};P{<1q& zKy<>;Ea&9a%V@U9&BC}9j_Pzq^y{!}lqk&c9)XwJ1*jxmGSEuMf!^exmHlF|oOp39 zVB@79%Ie*Rz{%`lBJ6$8cq6KQcXV`g3rC%Vsfv;pZVy61`df>OelxB&Sps@i08L^j zma_JebW2J$lJ-Y}a2g5Q%0M`wBJ*Yk;Yb*`6&d*q!)dUJjB8^tDj0wwbB$JH4uwq* zwYGvpfk6G1C`|bqfx+%zF&JL`w>U8Ppja&D)psrMW@~};%E#44_}}c;d2TO_-fF?! zgmRDTba+BSJJl})tba=EPF~^+wm_b@}mMQ_lTX!Ym$LBL$Lga11xp1 zSWb5ATHv^~Kzg-soBfR+B9Y&8y*y_jKkqEe<@CN--gc=6_L;sek{QDMRAe=f^EqGw$F>j1|tJsu19ilFJIw%j}%N` z3N25cbA8{*_oPCoQ@b_>#3idd_eSXYC=?kLMejm>2N| zG9qaPI%b9yjr3HJu9UwK@cwtP!vVtkM;-9~wpc7Dyj=^}@a~7zCrA|+YV8Zz&r&g| z;=1uRAM0m<1Ow6~z+%RPWk61r&OGCc+Z%1lc0%@bpvZ9sJX{-)Tr~TM@_iwf<($+QNj;wFce+$)&G)mHQ0G zX08MO3(*uiFWjoE)PvG=VmWHM8w;w&v8c8~xk61Jvn_e(TbOx48RuafAntdDA{)=p zMWHukodxBQ+7c}Eb#!SeU7vu&>H}7e?F${*?iy@?c(rrhx6uO8ocD`xSe=usek(Wh zs)P;o(6IAnzP}tx_9tNzGT-;&Wf?Nx<51C(&z1lF#+yw3yF{O{hu{CSAY#ExW>4iLhgczXA?ZxPGqqVj2ni}E7zeTl4F`Z` z8eV_0T6HLp%i|z3Q85lPqDb?@By$KZ8fTHN+NuIs$NRsd%Z`NL@WT%hVOz+W6^r$E zPh;AnYXRR{Aid>rFoN?4p26BxTMvcQ-gsX=)U_fj2wc8VoL*kM9{e^PF5l$9_ zIdSP)z{X`itRuk^aFI<+BS~MDvtwr<0=;Ni&TXWDXr03${R8HK&JzI}xaXYI!*$XW z=xosiIyd9BqCkf}h!^NQN(c=vEMMXu0^%Ww>;j!Z9-4XIAYLf0!q3rR29`J<-wod#Q;D)Mq2SP|-b2Qf;BpJg%BB zaWy`hwMswMmab~N1c_+*Wl52xslg;L*-j2}JjkmvSxp3o9!+@p-$H>xC%g>VfZo zIWwP1dQkA6FD4u?gD4Ke_3v$Bh_An9kdixWGPduX4v3#C7Rw27*8-^_o;NJ_B5{%d>i$a( zuw5<|8_>OuWI{(N3m!i7+(6g|4rvnabJo31{WC#j*NYPj5L^#Cz_m#%mXpd{3lyvc z(%#E5Hw z>=@ZZJ)2E8!N7B^`77~U8yWIG^#5~#g`xn=0I~2c2Nu3xES3`st_5r?^rPS;1x6ib zu~}k2OT}DUE}m;kl71FQaEG|mgqYf98Is+rRp}y3DZe?@K$zYeIRN{MOu!yylBJEl zMPOc%SuC;kMO3qxu$H_4%RVjW{XZmZB$uB4ZU>FXQ@iza`3ys5uzI>{V=;seKu^C) zWz`zHYFWmW;(39&|2$aCg_`+~IWYGju~<${fa7OiFLja5@trax`;V@KbbIJN*j`s*M{9AFv0mAb=4tRb|ES8fD zT?_nmjs+5w71vTWZS6&L5UWmjyex?>K-bHl`iAZn91iNe{_ zFh?85=cy?a9->Drq>-V&AsktjS=HkiaRsh;$zZ%Cs+Hs0Vyzq>IvS7SzEG?Q&SI&D zlk4FUKZG_sVT(o`LyZR0BLRrkBEkZ5czhl;&Mj}&FP^Bt`LFt|hh@%Y&;tiydo(V; zMW?^j5NU|?fxoANUI_$Y4iL_q4)S|ca@!hYB9IY;e61j=0rK*t3>4h;`s-w8SvN0BI7`gB zN$w3N(yfvo72tez!WJ@UXkq-}M;+jl=XKjP@)^eOVC@>$#$ueRf4e5G^G)1M*}&8U zn5)Wt)9w%niJcl|MNm#K&w?o9KbTK&&!(2&ewEa}^SnqP`^aFC9jfE+av=M)VzC6h zawNTC`I24eYRyABD1`z^$+ZaYHf+CTfiLZk1gP#2yB{E%dBg##x>ziy%II3)xV1of zh+noHS==;qghwZ}5JJ;!Nc^$|=ENrjY~Lz&GeFqB+X34L#9}#N>slZ?Y;WAlQ)Vbl z-kWJOXnYJ5juLvEPGblkwRK?)hMep*|DuT9-uAil1CX$Pf-faP^=iQA2;*}dz=E12q(6p)C7&$bx zN_)|wqvakJuEnBj`Mu78=#0duo&PN^K`~$IA&fDi&;0bGio)l{vgx%qgBi0wasS1WkC96hh zejp(Iw_6TB4*;I~4jSrzuD{DT?y?6QqEOt1kmkR2;Xv1KjflZRUn-3Z&CM0X_}3LrXGMv%ElH;*|n81H{C89hi8z zSS%+dTnl8!#CB5Ms8BZGRh@adA1(45ptX5Tbu`z~k<>cyIS&(Z+XXZfte0l3n=*j+ z2|V2;KsP`mwuw01^0V0Wy zm@Dz(cys5LbU=6Aj|dVtk+5Vg*Wph&NI;&??K+gtFboFkI&^I;hR;E`4sT)CVUfm0 zt3g#9P0+zos%X{@MA7|%WaV^`#?HcFph_AnCNQ|y3PO12UX}h8*djPM%ngH zwo&C#pJ~rZ7}{S72>zN_bAS;1PYwuvLM)aOg02O!L(n?}0;CvkhkSxaoM=D;L!XVH zoLIti`Nsv6|4GUrpz5sdyW z*YKf)bDAFrNPk@%et?kvkOR_R6^rGBv}*wy()}w(&R%pb=3_JWewK_QgOaGRY6bzeY=s~qB>rYcYO{9sYiu&7`g@Z zls*a!T4KED&BInMusG)zQ5~%MP+7=a(Uk;lCj>MGh}-|{!0nAb=Lw9Sqr2W*rRutju{ZPZ4}D3yc6h;2PDGHMCF{tVD5qB zH2wTgK>j0QuLFeq&pROhvtqHFkasO$L%x3zNtggWS^TGQUL-*cZex21sE4#X(@7 z6N?Ro_Z4>NoUbXrz2N(G14n9C!3r`%u-Yke=uKYBK7T6!_hoUG0RrwZ2jKovESB?T zx)ylSTA(L2$BdYJiDZY(9HkKYMYe*a)m8CoR2>_FvVvDjeLmXQNK0;Oa#!13Kc-J4EZ z4}mugcR0q7N*Yi9GXbuqIDx!q87Myl*T)>-YKX;hvT)Y|HEV(N%F5-^P@YFZGA3PA z?qz4Wgmm(w0=f^1{R|Mgzv6)Io5f-|q3c>8J9J;PqtmL?$%7LO-XQ(3GE=9#HwoZn zpB6BFuQ>JqVf=9ijNc;`%L!xG0yd2M7u-%m*mYTK=GD(qF(t&s9VabdrN50M+770v zGb%5yj;>=MmwS~FT%5uP=1$wUWJda*2@3kO*yjK#=o1bK`gO5bP6~1@kR9qTB2kSf zAcyJ^Rl+;d?j_piu5V-hz0iFTk;#VEG_=Z?4CoWtI*tqD2jU|{mE`}CUkZn`v zveD5SM5CT?=G~{)p5aI9mnL3bYbHANX2>ie6Zkvy_PRKNCBb$hb!=HW-h~^PJYH zl%_qN5rBBB*xLXB@tY1nJRla!NtLbz-e@h5o)Zso=m9Li_EAN@5Rm%`vDN?~_gfCg zJt`K<2|3pSIUq-MD7Q7re$Ddk4Mn~XkozTZm;plWGY-i8f>0+xrMs*xGS*KQP>WMYT zjc7DyigoS5MS3g}nrT27X34?}S)8w6c-%=;grGbDVv`!vaj=x88!PX78Ixgajd?E1 z9pN4__&GJALn7`~8^^spI21#Y=B{eE9ryitYOA0?#67C04~9AvEuq`&RoX4TMqM!O z=~T$Ug$Jlao1Oq*Sz~R^p&1i3^DK2R3wDt=7Y(AHsI&^j0{)blzfu3{RYHWV5y5vU z5eRwlKLiUOpuG59hrF=)Qj7(@!_gP?d72d&_ZVM`R&r-hSBuOqdr_B4d^}k74#(op zq`TVET{9Ecylv`h3_azX;5nF=zd){7ec+rk&e-^drBh2I)fxQf?3KEe;7IjB`Azr2 z{r(~vks{z%2RpKazx|~^=)VpKp{o1n$70<_fAY=o?xX)#tO+GN{Xw5`n@W!qtf?D( zDvtKdYoqYYPOIu@e;hm7V;_zm?L4t2j%JC{?qi3*(Mz+93j7HWXDW~#^i3rOj_-qn zTgpsk)=flBoxvlrz+~W#hhxai2=5Ydre+X;L?w=il*72g)Nu? zp3C9+Q3o~2lW2!$_guzNo-+s7way%VF3!C5sXz0X6Y0+z6B8Y9%Ogwa=A^pN5WCd* z-Mf=#K&2iX-D@tMxu>{*(+%_;Hl34s4)F%jp`E@W)eboZb49qv+D+ZsIGDOf^QNhK zkCeN`d8M(FVu=2b6-zKoi*;gM8-|w8(5M%DGz6lz^R~@;^o|)Mq(FTwa_dC!J*q|zrlu;!VztdU zkU(^?Tm0-8ASGoxz84h!nuNu2-RfU*+-i9;bF2T>f%q@o|L*Tp)C=%Sh)9l|>o&W< ze}}+zPA`OOfm^KwQhUB8uV<#P+sNJsQ&9CE;oXX}1S-u%=W;ZaT&TC&XplJPab1&P z2Gp?#9$mDH<>;_!rw&=tT7Ve~3!F{IvhU6Kb=}P#%mBh3&Ud3l6j23QZ?xeJZlW*+ zwlb_)HsIBH7L-5JusOQyNzWcG9B6J!&IJnu%c=IG9N`#>Z+a@H^n` z4cNOu*T+avax0mS+$*plX)Df0Vz9UPNc?+2$ZtqkEEga7n1heVlW9IOISd-o+SaaUxLI*^`aj zY)Tg%9SuO~)PR3G;oLFF^<2jSQg%6?5P<&ugatE@ZkWvTs}4ZR(-|$;w)5mu@;3Fu z*L27wyiKkx{iZlSwv^w_>+agC3NE3TQS_uf)2Xy(N!vn9y;Or*SD9XE-6-Py z9H|`KfrebHEw(C4dSsQIBWy?zhX5@vB$(CnXFPCy9_N}0|Lc&5BI7=u~e%(QD@>IQKihN3* zJp)!lX6M?{)#Chvktx>)GNlBQm|Nw6y}-gQcSON*m&^QTv3Po?e6B8ks-XQS0 zUz|$0e|RSd<%w4^?ukW`&`myIm>Z! z1N=yPK(I9JFJid3jc-n>Q49!8{~9v|{P&b{%23}q^BN!BJ#`QQ`V$l?xD3lElWai4 z!YfKpjCIdIVq?ZWtyPZ0eV`LrkgEgNW2MFV7yb)5G-DhO+p}4v2&>lY_`&>q4bI6( zbkz7YAtKo`%9~dFk>e4xO}?@ixXkeroeUG^z8V`Ci_`lNNiD%WDsS-`;ATx?((-^4 zEbDE8iwuxu{icIuEldArpQY&ErW#P2_M^i;!hw2SS7^vJ%z-m0C`5&a*pF_C3eb+H zG^?Fh!S6Z<*&*o-12qt%<0qJ~)eTo4U~v#9McMGT`Jqa9fgj$a4NzX0YU&6tLks=AT|jDDA=I}3D@hYoIr9cne7^KA$tkle`E&+OLD?t=#?T*)Ra%V zG|nhMb~~~skho5@hQzBdvsLdz!6&ji*xpEur9xtC0x+B+Zp2{;p7RK^tuv+KpfsC? zPh{QgHKJG}ibj20<{~_@Qhe((8TeNBi+k(deNYmh7o0kF++QqcHgSx6xSHI_Lotiq z5MT{x@`FpeKo?_?hRaY|tL2G@7Z}N}Jn@9*&v3xcT);r#4Wuew=T;KHPHGL@T}}!H z1He24?$5{y0F;4XN~q#H+y-1_?*+F|ry!k;GfEu%rvw~SAGln&aJ$c&Q1F=$@CmHi zgU=L?SAU+~J*#p^ei(ms&yRprZsW0pZS=5;Myd~Ed)>2J?ebE02!9sT=9c`Vgp~u> zW0kW8e-2Cbr*U`Jfi}vG(o*$8I?Z|fFDn08s(unL>plY?u!`ATr?=8QA0HvzxmGDv z+Di}e6AS39x1>4T_R}SwZxaP)Ia&Orct5H$OB4crXP)8 zLo>9G8HR5F;v$)&F=giPm4bvLp$R*4^jgXsy-oL=q(ZOVI@=r<)pGk-X{CMrQo!cV z`oAR!cVYJ9Hko}kAhSQ=%TcZO1V^jKH`RLpVM@Gh;cw)Qb<|%A>aRuh*M0m~cYUc* z0|Uiejs2HubT#o>Md)8uJ6KzXpx8g$-q{O3kM#Irr21%&Z(^yq>lE1se4lx{`A`t- z6$PO4O~7{bQp(Y$+jl#g*0=Y^d83z^+29ND;!Lmj%ms$PUcj$Nf9j!Ka2V8C=E{>t zzYwS2x>Bd#y!xkKe-~1Tc48u%JbU=DIQjmSI{7WDfAaHhrLihXpOS|c--z>1t%ntIssrFtqobo_je8?IFvkG_WcbRAkcP>9R~`L0 zTkTGHapUNyL98>M;Oz<6jKzFjl5R<}po&bV{gEKDhZ45cLuXFV2C89%=yMM9iD00$ zO_Oh|VY7?UR z7Hba{C2CTHf*dTQ&NsQI1$`uuIG}e596yG0t%v~q$m+v<^fv9NjyTYiLye#-{A?1i z{rpfs?{`-UdY@T+=$$Hfdx|H}eo}iNbbQh)BS!-HX;ajZ9EAt-80ubYFTP@``O1Q~ zx8CxREzC_V@l4A{>vEcYi`s)a7@~UUfGLKZMOty;9&kx|k0kWKg3*42LSLJarv8%& zNU2t#A$HGh78jP@xfH43>z+e)T74B$O5E+2@3RNABZrrRhISpuJ zytf#NX+ST_ybF23bG%0o&~*u$&w%|)wwE$V{&kWJ;?Knd1d-M+M#tB$+ngkS`39syjv-GPXF|TA5i4J8{q${B!C4hOwq4CIR1&xgbFD*%libv!9S7h!g6vvOYx;Bob;Y!%U4z(=VKutmVIZ#*r1oDEj+B8;LS5?f4qb}i z=hUU>i=4XDuk*VzY&q1WepPKRHPP+aiPSyh3y=xFSZ~x9=b#6njBgIbO*1NVPh-*N zXPYdTIOb2!oAe>=sggJz)Jp}HzlM{ohz|7Es}J=X9bP9Y?S>oADcUJt3^`kY$3tDE z%x@8JJ@dL1g6scVeYoCP;J!&66&c~oIqK^M3O}LMql37+dJ3a%Ed{QsDgQb{_ndD( zMFel?TB}KyCA?qi1(zg1HKUf~CA_j9p3$$C#9WZIBs!GQk~SB-eqkxdE(t&xBy*@A zJdZco4?tr2fnuT=c9Bv)=u0iQX>@ew-d($!-UzX3&~m4xb4~YhMZzwhQo83kV>471 zmQw@vClFIi4cMAx1Lo=|UX|??f?^INY&iqELoxpahnOe$IK@1DkyFgy!tc(o*=A#y!%=g}yKYIIe8xq+${*`w*#kP`g834qQh!9SGn%6`~EzY?4o z97}LIl#$>s2`&3Xcnb1Mf=UK~8H(-q42t|R>|!Ov_KQYG5AB92AGO$bqddwxfLe;> zr1Kvn5K2rsUzV_rxeQ7OCq60A{HF;U=!a6ZY8A@bKXAxeI;~UI(ib^p?Gya&3|kIm z?eD4WrI)qTx)t-tS{@Rvr%-7F3j?kCPz^(^u)*sP^+qufQasw;?BYCibU{6->YODb z+!A|x2lrlq>wm%dRz%i*bM;|=W%Rn4v;kiyLE92{xrYUmp1o;>pmZT#oHJ{*Zwf7V zyBdD0z5#_G+Wix{9UxE<`)bpGMkRFbr0flJpVghosqd5W2Sv0&Eo|W|<`<)l*D|k` zvUVf^xEW>bri54a!w&kDwanmH*3zMjtVK*A5sZS=lAw`6x`i_Knn96ThFz?LjJ*K4 zl)Dcc;?V%hq)Q%7AcvSlJui5xbMshQ_!Dm<|$QgMPWd`Wtc56_J~-UwtgRm|B>bfxLiyC=Mb4W(nJLKM@dn_ew$R zM^_(W+hIK+HxZOe${uIpgLq4gR@+F;Cg*F$Q~2_olGN!3i5YBLQuwd}mK=L@B* z{P_eRW|Wm5OL%2J%%ERc$?T0~B^}Dh$`_NYTo!nOu##YsK~{wl^TUH8tPHzY35ogg z(b0oE05s}o+?55wqJzB3DC`A&y2@_hsz z`E-yJB$ou24AM1}@iz>Lwku9lg7yXs{2dkzU1YkrV^n$%X^yl;Zr9dQwtO8Tcp2nToX z#E?F!xJ24Qq-meItvX7b=@o)ZPYvjADk8*Sx$_!9AZD)OrF{D_S~a~Oq?r_;s-8N6Mf zWH3zz?gv)){bm;YzitokrKVnXn$Y%D6Mt#~1oh3nE^0P+5*dVL6d`I8&~D-Msosph z)4Nv+PoK$xr#tS(hy-e8ro04=4(eAbJY`AuebSjfI-&ujn)XY`)u`3f>{aqesL6pr zM|yRc2L5&d$q%j+B!4FjBnQykeSB{no}3BOCLFMu2~WZa@ER^1^dy> zDnVKOV~a${wtVjr`1yi3(EyqGe|6yJb7HZa_;D?e9Y6c-RMKO@IEK&(A1un*AkIU6 zXrN*QH%Uv5MpGhdkS`XP`>Fuu05SJj2j;#k7R!k_*8(=?Z1vpedE{;O$gH}g1mvH$&cN|8kK(RJ#@IUVDrMPgXhN3iX9<1~~z`0Em%>+r?~jKqi`WmJ_5BuTiR!Bx7rAvy`{I)r~3K}rHcIQ*kL4z zI=&Z_c7DQQ{n*&r5_=uCr>!IhrOA^S!}=Z@`d_;LQHKAQ?tjk;VL*UD?n+*^en?e= zfGu>^d4JCVf@KNxZ}y^tEw~dp@RA0VYHU^5Ew88H6ObQe%$6(g2BGyz+Z$=kq1=GR zg>c7Pzlh=R8+oWbt8x_KoKwUOPiWB_okD5mEPBTuSE}BqH-h-(jQ;%`vTw0(UATbp z@ z)&8}+POV{xK2*8(<|=;s6p7L1D_#blP{ z6rcQ4nu$_Dw?$SBxp}$o9n-Eg|7hUa1luWk)1A5+ilE!4>-@7;Z|A8Q@=Sf?w9*Kd zhViDeCDbk+hbtZP)YZ7Ju4-|)O*sN zZThGyMq;lI2CG^@$}+HxV`@^w(aqjSr(UrJL*QG|YPFli8<~ndK$9a7c}AizhC#RJ zjA-dbNm1w{uN2=(3ui|J!9FVGMa5mm6i~%D3aGuL@!ryznL*rQPZ3An5Mt;U8s1Me z$wvg0y4ENnu^y_ic9h!2;j?3ymg3>#g7TN)l+TG1iR2ir2L#)AJYl(9!r}}68V?W2 zvuR;5`3{i(8fBk8l#QHuOL|MZEkl#*4NXc)3_lk1_r<52{<>ErUth7^BuMllLSm}2 z>$=1Q$E9er7>%ZGoUhD-5u@Y~ks1SbjA3ro3iD{S)acAWdJwlAlDO#Ock1-2neEqs ztJYLMT%o(ZR;1R#GyYQd9P}}mU5a&#yo5SPzJdJs+jL@Ggj)lQw^U=nMArJo>9vXt8oY=?ZIi1=Km)~>)w6i5$#DgUv(Inz>W(R#t_%|77xX*V}c&_pQXVhbN4 z7ZJ;(1_rY5+vpuZVBGbN;LGb~KuD0fm^a&=HLnid!T)hUN&IkkB=|+}gc9r!ji)0< zLMWlvN()PVn*rt3=+KI6P%il~@Zbj^+B@F10Ab@Kaz}<|8jYEnf0Vu)-pJ4K1&BY$ zAL~c>xvM=yrP0_#=`_gp*U=qsgj`=Gc#zFN8-SR8}q&S+dLNlv88qt z{oOY2a14n@)V_^3yM@gk4&Gs~q#n{c->FLclrp96I-!=Jpsqe%LH`&h?FY4hBatm^ zi~M(lvRm82HCsp2#;w&UHzC6s@mpV{W!$N!`^Z6E+`n1}%Fu%MDXUFyEA z@hgAxhC%VGsFHZr^*NNp>aRh)OQjoI#!pN=AW z?FES1=2QiRk??xI=#h=U0bsafIpS^6kkRBR6qnTNJSAL43Wa^TSu@vAUmeuShi^PgKbS{C-| zFCXQ>dsl}CKj#s{gZGFVvO+wVm$PomPHW-b1k#J9djG<59CTlMpD`3RjbCs54;F$k z0w%mo<2P=R{}+5s2EnHBt@3|2oDv%UiY_E>`7A+?<(q_UPXvxs|DA;txy6sp*I?22 zm?s)>{8Zn6c1oEZ(vy#k_1uJWOjGx~xyqb>R1Fv%qWxW`_7|0qEVifmJ+ynhsLs$m zpBJBko22H)WwHdW@}(WM2)CCUS&ww$?HkjJn`hTrE|OZyMJcov z7ldL`!PZ*-=k36<2$>mwim?w7FpFfahuNW4K4_(hrZPyFnx{#$TtKhAad#l`Y5U#{ zEpPjsd!uo(dPLx)Jky6}wa7g{j2`A-5TP((fJ564 z?kDv;@{Y{~)K7wAN8Ux;HB3hJPnP`Vd|UPH0aFec{`l|^JAjb4Foy@WdDCW{19#lI zd%}AS3J_5WNSs{ee)DJ;Bu1z*5LJG7FLCkk-K}wcHEnppyN~`-9$vG8@;ovB2fN?q zDZq}GW{Yihme+jBmS~Nanm%lh5q_NEu}y)NKOl$o95OBtQ-h=azTsx0<_}MJ!z~mt z`g6l$-mq?FfDhFnPlfJl`Z516{2lTdn(|kSmQ%__tph0>-w7lYcHF2S1>*3gBjb82 z*gs7-k~1II=!#&yMpr}_pvGKurTDEsIDGKWV79ki$|H=!RJ_DEicTq*UlI? zD+}=9z?Y-FkSOtiDWJsx1=@{l;*nEfl-VRB=p5f5->ZlsAW;P|j!{ERAIkXxt%6>; zWpt^uU6e2EeI%(#ox8OUcjXH#kCTCh)UA3xCG?UD5*E&-sqeVp?3m+Hp3-RQ4?WdL zWHnBrQNT!Udw{x|3r4YP@-OS$=`17Zv(|SV(#e|^4UYv`3FrW9(%Ly;6N-=0`IQ1j zcSlm!U|uP}eC=RKF;tOvIY@CtEY_P}C+Of$20FNFforS<(qrqeQDZ4THi%gVnyktK zB4yUXCc78N<~?S3Tj1mfQi2TvT+%1QbiN5xRtK zXS@d{>tAwR#ffd*ltSSao88fK4OTtUtRhKxNx)MgFGj+y;B|k|?MD-q%SFaFJIGj` zEoXV5Yk?mTr^!i-t_89a<4bj#tVvv@A{_V^k@2gNNQwT8a5pVqKyQZJRM}tFmk1&D zD*{N8!ZM&dRK{*`p!}D_VmUG5TENCgKMbzB-p6bVjv7`!_YCCUtV2%hbmim{63ai2 ze^J&^3qZqyf*)T_M({8FV5Y}WbD6Ot{b{6l zZ$t}%u~4%&+ug`JG=jqHF+AcC1wNf4Y~Brcm=!hV!(TWSIU@MTf zEhS!*d-l)3@K?b-dtfVkP@K{6Cn+UNF83@iXSrwpFy+G8-Ln@<_w4m4+_SEY#)OmY zp8X5s%cR&B!cS$cWo>p;=bC`^M^qOsiq*BsG5@JbhHyEc_#0?C2(Ot+sXjGxUbt9m zH4xrHr3WYT895YDo0zADygW#!P-@g)o<8SY-b%=NVxjYWThQtNb-t;?abIwZ-f}BL z-ANY7p|%6LKdhQ#3=gSz0qZ@a4(QLhX$FNh`7zZr!u&I6urMs;;tDPkWsw)%uqrIF z`9{McFTjFf#&mBbJQs`P-t`l@KtGTg&QMiSY(d@?`zO(R}ElJd^v60f|RC0>8lTDZ4(wd%VjzXf-Dq}}2KipWFhNn#V(za;&( z*XuMM^nlMjWDvwbsp_1TtsuodglZ@v>Ah1Fa-?}gfp~=sY*sK1Q;9-{lpXhmBz+c! zBF3&f0YvYz8^sA-!e8xE$^N1`J=$wi2OTtmD|!nkSuPx}Hx_8#R}uZy2vDt7$8V02 zLNHxvqKD>84^cit<5Qt9s2G@fEju|XZ-m*|^mJ78;gQw4+Z4%TRfp_f+H125s(42JLu zA|uS3cD zJC=Z35p7hSRcWKPWF5RVda2Y#$5Uvdu8qdD(f7eRiuTR>{2`HGX|zU8Uo*YGiHDxR z&;k;0Q$=Ksm%tH7#GI)33sk*Ca-Qcx+>0+n!4Yc>(%c>cXUBw6E!YA94>f|MPzQo7 zlm`(T+Om;J^KJSpF&pT%5!%K zytWs?CS>D=Ei)dw@|;-axjci(jr;k$805fA#AUMLI1~_+hmwftb@LJ+_}(C&*#*I6 zZ_FN^+s95E*ksVokck{k@^t3ValJ=l3I%59zDxBQK?Q}P(m}mc!0nkYjYc{o+%iyJ z2)BaZv4(7o^)trH5 z9q6Eew-(%q`huEDLPQu@V@9P*V=kgV8s{8755~>nwIxjD#=u!MS%u+W=?hv=&HRuQFK(xRIW8VeE0}MP>NmVM2o;Om$#8BYHsN)yc;8 zpeIc=TDYQEw>X6m0~b?=Y7H{@=%F@83h+aiu$B2)#2#uo zx`0ja&n<R;t)j*xTx-Uhz=j$|_)ick;siNn$i}TvJ6Vp5d!#Cr_PWY0NzJcSn7A z#8(7%NEDD6^N5$n1M<{F7wL{F0)%KX1L5Sa~b7?SwngR>C7ervdlBR&Y{E9oHAN~c75&d@i21$@L4YAe$fTu`!<=HP<_)1aBq#g^*hEEE%U|Jm;! zYBXq4UMWS4u_%ioE;o&sCUH5eUq692^Oh-L4!yDQ_NZlNg)fbZ4muktOyFzk$3f+> z<}?W$#G3yiG!^SRL5_7nA(9+3P)o=~e#OB>s$wz0Mb=Qi9O?zyBqSx;a&ZwC+GZ@Y zWuS|Yi?|lBxkx`JNSL_eQg>ozndJbQydQk&j%nQC4l)tO_#Q%$fEA^)u*elpe5Fph zO_3x%J}8=w;(Cyy3PiTNS-*IqLhL6nMu>GmB`A8sCn{6OeVFx2$A{?^WR^sh&;&P*8lrAt>Z&wV>!i#F`0Lt4NCi3UXr-4gGK}oy8KmkX%rR@hU4U z-F-oH$P0SX&es}9#hS9x5PCkPPNqEgj{&`zvjF-T;PUuxcxgFtCw9EtNo|vV1LjR- zaS8N45;9r4Mv78MT2_0qo!oE>{JM$0+TdJ(FdKv5j_`GcN~&U<93oaRYp$K)Kjd_l z`0|*zT4}X6PI$NCFXEiRSPH6PgEDExql7;-t+Dz2R6nOOSoi?3*QrlQgmAiyy;FXN zspMl_Td(7f8!)QIm%8;E0|Fgh8}0Cj!I%{4Jv!_7uk?MtzECsF>$ikB>>2T`=1OAX<*X#8 z$5SqxJ@M~y8EV~}BGl^IXlnM}M`pQywPzSI^w)Bwg+|Vc0k>y1HKh5BVL%R@mPG(m zXJ(oz2XG_*Y`itwSQxR&C01$8C^i4x>QM8S-f5`$>nVvU7d7*87Bzp>TDWIQ-bmF} zeqMiFdv5-^%KYMSK<~+?bocgkt#;XOHV4_cJtVSoX;W{aV8o>u=Le;}m%f+4 z5N41%6G_(yXZ+oR_nulBskZPp>h?P7FIUvNdp5EJm#TYdBPa1XblATafAI$`t(Q;J z2dt!CW+1sgl3UOdjPBI(ND6!RyviKfvtBn}pApUAd96##TKjCQ^#oPyR$TQ8MdENs z-0OQU-MZ=I)|)n|DDPHp`$@m`N})7$Q#>yyYirLv_AmlhrlcUGs?FF?c6_)?3VI`= z9~-Z`d`W@Cv!Xcrn)F&SS4n|uVVf8CS~$CAafQ?@u1=v@xHcNoEZ&E^9N`L+Z-W_l zK)25+`*X-3#tb4jt~ddLa#P^7Q^MbbEbX8Je0JLV6Y*7PSDFeAgm#ND#yrduYoQ4r zhO}>OaE0+PN`fYjT#1q{VBB%i1qBHk{BaP_p!}g4oND+A<2WOE+DaPH2SJ#Gg%KH_ z^kU>RpxHB;kRl0!)gRg%gjx&ZsPQ?i4yT~p6Tarq1pQ8hILJ0^)6d$))^QI%s3BK7 z9Ean#o0Sq$MdBVr^+U)<5Mw@eV9qz6ge zz4*FIS&I27UBtI6KfVL}SY?qJt_k)fJ1!$G&}RNwsUwR6K~QkuO8rEmb^=a~Fnr=w zJLMTF%oy{)zKT=uoXrw1EPAt*nb`s&A2rI+2pFqoa4OnC531P6bOk>RCMlalDZFKl zGT*{5%XAYi!G%WiIQz78R0MBPY%>z@&}$S>ZsNh99}0z@@O~7#v;wBe>5`Lc03JMm z#eI5suq-9?`~Q=JncMd%c45DL2~Bp@<=EUe$+N z%?s@>1@u2WAm~?5kNE30@HsJIO)&Fq4l;WiQo0a!|z%Pq)z?q{>td+LF&874LP_U90&g3 zkcX*=TsZJCx_Ebn^|@qDOIAr)D{!qMi>}r|qMI^(No5XhFujxREa%m7{4!{$$w`0c z+8o|tlm~;wk}`#eZLI*Mt%e8zg(IW8O1^mC6abOvja@vHLnlK(Uc%)c7nJt@61I}- zLO#QBA?3Lv7xHvOpa7HHxx`qm3+V#WKM9=VypXO1vR}xrj*jlF7pI`&!TKRvf^7@B z3drFiQ3MZI`8?kp4+{LU{RE#I#p_q|)8&TnW@iVQ z>sFa`&M7ONSs&%VlVn?9v4>MJNmb zni_HkU~IBWPy7F1Io2x2eQ$J>?LKWVhBQ1n%EUc7%8o?m*W`zsM&TT5zee3%s9=H) zlxC>3s5YbIb6qMD&NqdthusL4pzKa$KZSJPPbMHICS#xPKED*Cy&e)YaV%lk3^Wm1 zsLyoJggm2>mgh3k@<79lZVMVc9um-KKK0Pp$-{7S(x^C;gu1-;{RqNX(87gc``X7A zxDswc+sS$%gkjW$ndm-sc@=H8R$za+luGqg-i_SQc3;kdW<|BgoWVbF1UZ|%@- zC2<=~%TpWuLZI)*2Sk&~OS>oLrG3tM=f>R8kBBwu?KaG}khmdT|Emu*&Z1gggOFM4eeHWQv z2kyA*=G|J(Ow*_pB)Xw>8-$AL<3O4osZ`1xTIQZ@G!qhGHkFyc^QcMkned&`na~|= zJ4e2v!Vzf!qhSG6Zsg{VNk#t3)Hq}55xfG+LP{<0!R-stfhd>~_ zyE^cOXsgjkIs8Uh4`i}7X%@B>YGf%s2UV6ri=nMd=QQy{oWdN4GvYabXTL@-4ZzMe zND%8_rE29vx+TcV8&M3>sG7xj4m_d{-bP*;jpe9M9+c@$y8#Oq5}hKPi2oUIkglyu zR2g-~dM8|Pq?DT4QG8RE&X-7UFwSbc4&bIC%i~a#`S-|#iO~cniQxB~^ny4Nb`@Cq zpc3js1kYZDngOd2C3ofJ>to|ip;&v;HQ59Qz{Y~8FKyW<;v9A5jWTIz?*&ChZ7t>x zPj`|=5t*B)si4e+hi$T!D#gde)t2lereIwtFNEY?_LqWdJ)W>kKU_;o+fbo;zJp!K zGiilt@<~{jYZv%C`~nN2lXM_yJEjZu6F_kh-EuOr>u;}S)Hv`X-xt3KOO8<5AEqo99KOC^#KgBo*y0Eh1q*` z-wPErRDz%w8SW?YWA8S}KuEQucJ)C55CXKV4gy7xvVnkea`ao-Cbo5R{Hfi+Mom`sVB5L2+EKWz-u8|&vs(ofoGaX7lAr?ihODOV&LqU(! zs-PF`$XC*rD4F7)|FWnZDbW$5_-9!=mSi6LR^a`LgoSd^_6r@fEl*`=`+HXizT%v6 zX$jC=a?o|o=L(?aq;J;(+3EYoM@J7}l3d8unZ8l7#U#w8kT#@XsI|E9oHoqHy`9<@ zqsNFBVOt;>o@}A(V6-TkLfc!)79&ebnO9_c3F9NQR7_50=+JlO=)6+ER3b2bBdjx8 zH^Tl_P|EIvg>v19%N#dCp32;aw{j8P>3|Ud8M#@Bf?RjV1(}x%G~~QPt_8B+q5Y$y zC}l+RUkb#LS-rhptSzGYOBY&@#Mny(j)-!#)g@w4LDP((Q8|NHPMV(pooWxDWEg=05ZTPqBCTItjpB6zkf1NdPJ*#kv--DYl;zWE-yS z(ye0VhV2Ob59A1iK19vlOur5|$y72w9AxAHG~Q7ii8Fp0Rm1^TA{=zR>_m7?8w=F_ zQHvahB%zuv=w2K+Adjlixey`<9EQ6C$HDpmBJCyTHTkn~J~QKf{@^8^{)&R4ey zj=K(No4%H*O30Fnmm~WelV^UUlaWj!tMgG`VKcqU0F3!_c)?ZRD zrZI0WTF!&aYB z`zp;q{G-&J{b;Q=H^P>Xn)^BdMnuz-z)>p5Z}!b}P5n8vI;x*5$g;(-v4)c$3 zA#l|hFlZ`ghEGkeX1*Keck&;y?^WakXwKel zqTki+G_nm0mAn;7cwk{9dy}({KI5OL7gCR_U?1kh<~=w2bt)<%7OjW8MGg@DKG>T{0!UJ{W{`v}1Bx{Ma*wF-@)3sB1gq@nFiR+a zr8#1NQv!Sdso-14YV^270FV*3nJ8rQCRTdr`N(^E=d_rP?y3ps!o^fS24f~F#2`S6E=-{UHm9o?}7MlG-rx+G{R6_e~}E$ z$F4g?qPprUzwnePj5XQ=$tu=>SL!!SJS7r`d%U)-sS*);8P zsu?z}aYsb7O9PZ`=7}{1^A*HNg(sij;p`h;+=EIJc5W^o2 zzio}f3)=EWf{Vu-V_Sr+jD=r8m88J`w!`-gHybs7c)}ZQEkb{rqap9w4T=xdO*?fY z{3Vpod1&hXQFX{|`zRP6GJRfQBmb$}(1jbsh8q>sj2+%|WE`E?Xaj1?W!WldO(2l~ zTN6lL$Y#yO3k2GlKnj%%Cl{oY@-=}(4nHGJ*8~!?1)}D2sZ@eMA`9=~v(7;N z4gQA?XxxA7gRt~6_W(}cM00o(@;G_H_Y2dqw~I1Y+d*FL4O9v<{sR2L3%@Vr!k@j2 zvT*RPSQ4EstR8Mjee@Fj@N~>>@Vw_+lD;FEB{ds?_4xRQ_@Et2uZc zE1+Oy5w=WlucrexVw(-x;Ixiyq;u444IWY34UNqRaAG}qm94AVGLxDQIEFtAp=Z|H zOYp=~C()VucWf69keAR`MTB)TKYuJMEOnFiAIVx~E= z&-K@CUkW7$!FX%J2^{WTf28(IuLz+|J&6>i!(;GDdN0~2h;KESWv{oCfBZM zTE9?;IYlK7?^5u{+BIFfret`L6VI>)xE>7WNOet>cU&nFzrQ*v)0Vr9%JkWknoBN~ ziI=lfrr$}qaCVhxSgK5Sr%;((8(jgF=^W_ELs!F@StQ*W9i`#h8B)?L8NTPHnefb@?)(*r9Q(@i86$LULA(8<8_81{6ornnTsLtau!4Q zyOaxOX9!nIhA^3eA-Fc0njs|g9k-j$KRdWEMspR~Ti5Y@lu9n2SQShAzy}PKT#5z5 zZnrCBY4dUxl|0{CxOdz(f28->VAI3fk@w*v->o!GW7g_O$EiWy&r?|=>G2${LiId8 zU8F(*^rxVx??Hba(Sa$y>20}b%-gbQ%T{#YL==K1I#QpSpg~12#Sxqs$vfy0N8_y# zQcy*8D$NFQg>nZ)bewHMb`Tn9@G_MK;%pZH0m ziA}@9#{n0boLiuP8Euy8@qDU|qnd^pe8X{T{A;>HE$^ZYE5?TfT~4ln$OR&GHAj?6 z_j01x`>A)Gr01TOW@S3uhj;fTY^dkrZs$~F;()uu{SEyd(!I{|9quIz6@<4~JfT+> zNv;m}u7z!8)GK2#yU2R66j`rHA+lT>T?vu(ETyn2g%Iu+!5F%+Z=>RB9tc|n$MDpD zGvaD4C57ZtYIr$ITve@wS5jPk9*L=kH-z$vI`ks&&u!6^+}eY#XUMZC>|aKL;a9x{ zm=O+65oSp$l0>0Yi!?qO-+&nTFpm}pH>EoYBV8kU2)B^!u|=d4Ak{;PX(e}Q+a#jRRt9HOsKKUbB;N{KQ`BhbRMj)`N%-|I6A(w%85BhdTlmNqKRLdiuqr> zW&EYcYWn}|y$hThS9L$0r{iqige2sN*Z^K{EZMt`v^$jQen zF|;lE=-=AJRDFSzwj>KxZan(U?UD*?NLr&Jzw&T z>sNx&h}Z~P3~yvz>qej>aXs8OuJal}d%lqjuar!|FWltBaqtzw52QQSz!EF(agRp`2 z;5gt4LnyvmE+MBHQct)(7rIyy2Ne73mMd%37*#fR-7yZkP8t0!IfEBAHI{O3c)r+h z)YiWK<|X&Ws)W~+CSB$o{im-Pj~1DCygS^?5x$akn1(_w9(?xo!KvfY#ET16Dk_C= zYVAD}xxg?_Uf9z_mEnLjjY>Ez0hrvAx(8rCqw<_zS``%80jp2< zvr#!B7k&sXH?c3s$YB7uVW6$~vjGeNh;MS&->HzUXAognrv6~dvZGzgN*kxt%{@qPD zUIS}v&7cbj2Y2r-Q`TIv?Gs-}h6v5`;xFZ93eRm;ltXQfKypN{k{+F2RFB7Vq$k%u z%4H?wy5GD2|66(m{?~?p|IMPa_Na$m-^b|O;5{7H!5ab{M9-dg_4Ou~2|I3sxu=ME zV_DK`L$(oKGMJdkGhU58xnkF})zlMry)n?3SfBTa8FewG!hFd3yhn5vbA7@(h_ODK zVcx2%x|i5#WyqHKTsljprAocTb*oT#!_8pM3AIrRO650@>vMIiro`%eLIA9btMj^$ z)%m#SEavKjbr4*gW(QH|p}Ra+s!!Esr*repr%=+du?*>TCJKk_J8!P9(ThC6{1_S522GrH`W6Tz?hWCR7bU zm_%XmH3S<(!OPPVnhfpRV&No~Sjo^XYBf-a$gN)$i29=zL+Id?^)h(BJ_J$ad`&8} zYmqV`9*o6|WG51+?I5njH-ydTn*w|>w_aEWPX;=OesGOYIX|7TPnXD}EPjO6$jnbR z{FMd8S;W(M)H$qeN(hF=RDS448OP@;Q{fP@6Qg{&8~8kt1g)~||{ z-_l|Tv5@$UAxJFeYmj(ogGucf8K`0kvQ-JiSX4G_3cn=a6%%>GItU_fJ2Oxv6AvzT zxfrixVi-ZUxR`*fJo*|a@%KRl3}h5U6f}IT;LcSBlTiW3!l{(V-FuZ+T8Dh^a+G?J zQs5-2pIxcM4a)5r$<>fkNc*m5bk;_4j;A`%fDoNxkeXF~M-m4xM$~Ah=7{lR ziGUA563VkEm{TZu1>b%09G7MfLoQ=wbt&+KANjF5J7^gft;|{q5qt=-sN7Zt@g2LEDw?Oy~<|Mg!`p-rn z%)Mgqy0}6AI0B|v8}v8BHYgt&ZEnyoJPmG8tM?rty|cSRJx#vgtw};y5yKc&8c*2) zeOazDUWNy|WNF0{v6la*OKYh%|NE@X|DJp8&HtyO&ydZ3-*sRd^5oB+AP0I>kFL5B zF4!fi?@WPiRPuHP0x*>CMzzj5cVDQ2(f_CvVF$sc?dTpaS=DfeKDf?V*aL{-6MR7q{(uqpWd!9UsRl4i4V9-ZqIF-gayAU0G&$H^Q!}bc zjI@a0ScM{y$U#FVL%LL*;r!p~{LzImiT6g_DE%mv;F0V6nZ){1aUSF^FOy#sG7%pv z_VG5XKuIFf8O@SG+VLTHJ#sR7C!CizT;2U#WC!(-@DH5s(fJ+!ia$p^E?Nr|j1Nc9Q)r~3mhjs9efexapSD}~M zTgQ<>*so{>_B&FyR>{;`R-2a1xr%AbBeO4O`$t3?kq4--NOs0igqNr5Rb}=arzFyJ z+Hh!8_~NwQy8o}3kX#;X>z?e+K<-K3eX;gGZ_#+H&GuIzn@!HdY_=k8wnc-qn7tg3 z1Z^zL51aju1gK+Tepm;cWB%Q+nQgr>$=NHsQ!+hHnFdI-ano8TcZM`RaAH+(;;KyT z>U0FFMsbPNDxH`vrn7{MI~1&#u9itzqYg&A%u$4plRPOY^zce-Y{M9FvOAN&4)E>^ z99Yq!@mM?HuS0f#oQc^1$cU);l0}8MfPx%Y7k5G!6fPDZkGT`VI_P{Syk~ImrY$Iu zIB=6;#ykd+MF_)Xj*#0y)#WL}6$pt5WP#6-z7*mJ3I?$<6oMJdbta#s8!GIj1MzBk zSIUSnu2CT#gwdo674?l24MruLS)eHCO#;+%U9H0-+1AwM_GQk;;G8P)|!~>=B3^IhM8mAtUm2fo!iFBq?MyaB8>y5e^$BB2` z?A^CzL@T&;Y79DHs%1`LRVBM4WT4g}${Pg8<@#D%WKFvukh`hDY6Uz{DlZJKB`6j&!EFf9bi1Bl`pVmIR z>SdUrzyO+T*UBK|>EgInQI)f@>3vE%0V-rf#wPqund?ben3x1LD3R^}WuK-wLBGNG zP+92j1>oc=SzE2on}}(YGq5!L4+IiC+@kqd+v9ITwuhXH*&Y?OJr)(>0tRwe62!4K zLKqDGRscNaMhNSm^Nj#~*bX4)b!38}jSwVTX_VzM1?CY8Qs7F%#DYPk4JVc<)~~~A zLt;-YJ%zN0tRF|RA^4y`7eH!)5;WaLa}KEpFXoF2h%`?Mh{@%#cYrs8zz*;|5Uc;4 z7R|@n0Urw40dg*82OL;TP>adS@krRlLjADGe@#F-ChCWE5JdfUW}tk)?!3tOFgTtM zSeVv%Axq}yUGM>Oy$L*K&b4ah(_jjVUQAUgk=P1_f$}mC#dqPVfD;2=U9`1SjY{k} zw@Da_a%nz#;Dey5#lg=^IZ4q^klHI>$mF?cL`@Xog2r-_VJCeyQ;b2D#I2HL)YlU^ z9rNaf^B3nPt&p?4GJrwfT}h;;#tW16a=q$pa-J9^VJ%k6x~wK#&FFlrzypkvt+KAf z?Z%(D)N^G^7h&*4egP;Ut2~D+Jlitlvc@f?i%F=o>Yb^rtfe@#TQ?S2W=Zds53$HSyvN_Bj+TZEb z%HJu>5wLtb>AAF4QKUWwuQ!Z{JS zqZ9Pa$p?)S_m#`VKvqzFPpsQ;m)1?Wk9@^)A9?Wow)@Cx(Pzj3^7WAAJF&(SYPoP> zoka%WfD?papIeqQ07(A>0nKem>Yq)L!qs`HIg@h8$k!Z&w1KRf^0`A}rK1ITn_e!!{n=4c#W$gTzM zwlE<#PRf=uR03(z0Xr|Dk#XR*93#U;)$igk(SOFQ>f_dqIt9}Y^xEii3!*Nt zo5CO!LPOnvhi41g|*KTo6U+-A->!#H~h%6R`>wH zU^+jr-P=K##xmu?IM0C9E0DorI1gY7JDm^k^?7vTL-?xJJ^#Q?=fnKqLB2l3*N^b^ zA8>U(N|%Rm*?z3^G4=6reC%}ok*|;N^%L~qIA<-|-hQIvK zQ{SiJ^maajznw?v^3QbnEM5M^z4x#5?Q?YbJYD{cF6;5z{12Tk;QP*e-%jU?_yXd0 zDK+_gx_pVAIA7-Lzw`A!`1%-MALr{6eEkZp3i-aue}9es{!hAGj)v}W{tI6*+b8ic za^?!>GThwhtfW2$>GE}Y^BZ(Y@sm|_Gf9_k(hrwAmtcl-&VSPz-=fQvcy^Doj^4O} zF5kw@IcE*N&N<(qpB(E9@gFasr!S<-3jTWl*L$2{`kw#lP7wd^;_aQz_i)9*^#goh zk2cN#zm$dZeW^yAQx=r!$9Uq~){PU^BGZfDq4X_9y3`K63ww2;%zt)Yq14#<9}K`l zZBV4MyfH$YtV0uOkMg+THFAt}!#~2`jxxfKo}!Jh?wogeGl2dYdJdh#y?9V}F619N z7psqiYR0((&m1Bs&T7yxXBAzpg;?U;NB6c|h|34)+f{V$%k=I4qi?5xjd1>kzP+C= zUrFGSqZ zmAHJFzRe8bQlrb;*W>aty7yc3^b#Dt&O5Hgg81d?xVX?4vc{#Tllx z;>CHCzVYJRL<`1?vzgZAKDxY$F1$<``o_z2?8W%@d0M8IUV;lR(|^*Ryi9kx%k($& zjhE>@S}R_r3urlcnV8$;WjgsX+~Z~X{3?9oWxA7AjhE?9Xz6&F*w2}li31{dnb=34 zmx&o>UMA+fXqg;7llRlA-G&Pt@|Vv$4ya9Ic?K2^()mQ=51hB-_vYAamH6Wwcn{P7 zJ*}H}-ibeaRLbLICG+9@W!sHk5xw!hZM*UH(Hnob?Z&T+-uP$QZv3j~jeoJN#+@YX zoHAX0k1oGSm-o@-&*<_wx_pu@ClZbM8GTzp-!7rcR=QkEmpom@=<*u6+)bCirpuqx z<#TlTBwhZ8F5jZdbBOMoL6;lovXL%1y1bMw6vyJcj4tHV?)({DNIr4CKo{bzouA=b z-Fbl`+$+?_N_^mWy-a;1)yHb}F{D1$s*iQ}z~OxbeSky3hqD2fBlFCWY`>`b%K1I> z&NaA&_O4YQWBAzV>{ow`^B=FkmUEc%%i!-L^El{Fqgz>ALN`b=8PFDB&f8V5QMJ*% zlD%2H-A)#l!I`wfr?O~6G+=mML>U=&xUqM29_p&q z$VHEI5UZ<|%xYFbPg10y{#qnFHqz+{;O07$2BVW_ZrZW>lwNLjN~ z;{dJ>Sb%(ahMz(Yz;8^JUBj$0>~z0*v3RGws5^_N#R^wDGxBUL!<=`Y92EqRy5i4?1xoo}3{XiJi4 zOVX$D*JR9jl0d_dx)E)*M-=`0ikrBen`jE!fu^tx5-tydtwDS4t>oy4N+F4TGN3(Y2AwC-d9p^GE9h2jz~Os&o1%~19J zW)E7gz*)Ps`E{=;2q%I6nl^!d`2s3C1N^hJ**A%>JXMI!2K=i#g&Lm}jM1;?w28=o z@0hF%XzH5SoUfPI1jpebeD_d|N)GNQ@O`-;f7a%Ltc$oH0~vK9Br|$ANg7U)@A7c4 zKh$tE+3+aOJ39rkw@!b|O>{tcItKqmDin}&MHI`W$t2Q2OtF0u$D#!JBW;5GiijY; zNLQ{0Cx^O>dI$>Q7=i`nkHrV`KXeM_P6_-)duzGr1d`3TNKP&v8uKNTztJX?*GGi% zg~%r|ogDJ;8Y5^9b$f zBZ|rEEbFw1p084hS7|Nw46@wSePm_^Oq3JEiwoaSq`GTCb51L6Hu1o_Ja zsI$@Ihx$Dq_!HOW16K`#I(T5{0dLQzMm>#Va|NTyv%Ukg`b=pJ_)*UPtJ2CQ# zEB3sDCcIJfNPazaEA~0^&ynFMa1?&B-8Emx-NeYQry>QN*Qd4Wk94|Z-l~7B(g7zPR~q;uXAe!zSSxCycPIHr%m*H1xR&^bcZ&L zd)B5l*mUA7qN)b^!1S3OEm)s{USqQ2r*_&z?_urp#S`bryI1Ie=L@Am(Xu=!CrcR}7Zxn1>Xd>4J#|HNVZ87l}gV!Tny)n^<=V9#A z!{DrJLq?bZ2gZ%)#@1#UbmO7R7K~;u36!2{1EpJeWhyVyJ7{^FU&Exe7wO0ameI}; zJ!0Ac9d_djY!!g_KMVvUPeC~V3AkRO^7icZ&v{&-Eug$R3Cf+tDMwNW{$`cFiHJbD z{%XFAnuC<-A31AFlMoHyRarshb(9{b&;tZQKm(^VwT)e)XCJ2$E$^R79~#ppd`6qsWg#3h>UEM zZ<&faQv6E=_9{xI&kLU=T@2g|;iF5KiY5zF^(jQxlqONqhwy~3lV3%Y4t}RB^0^YR zP~4=8m`Jw|*L|e9NgPJy4A=pW>{kY=Ot}iB7!6@R;q#2@Ds1?a+PF%&NMS{wXaEk^ zK^(UV=0PzIaLh%x3aF$!Q4l}%b%~e-$0)(L})?RtJ!sKd-wY8OWg=1yNWQH^f zrr-rt+{_>oG*1~IDS9C{{nh#uQZd48sfMZIeEL;ZJcffm*L1aBp9sdIPrYTl-s*p`m20jW*$8S>rD~;9w87no5 zASHwb)k}~fa^B8V0kw@2_TgZTv15LxMQ81Jz~~*b z2g73rnvqMa9V6!jdd!E%tDhp9p^Y_oB^)FDYjD8^wUIX18_8Xaz`8kqL~ze5bqK@Z z%-|-J1A2S=>onlJ4g+l*U#-E=--l~b4RhYO{)g&ecm-K1|3h@y9_!s$26BR+iFtPR zYMjh}Q3mvR=P%G$<0RbRQaz1jdMJ%ka0}ZU@@}CvKgVy(q${QQdz^RB;BBaAM0*7} zr`}CWkLS1nl;eSiBiboGq9$Q0-@fuh8_jkwF(bra1Y+W1wk4qV!>(cv#GU~4 zOK9r%J@kXawbT?~)h17zfRlQw&^U;zMdV$q<>$9QTQ6q?%_{nP+;u#HrG6}12Z`}d z8MwW+86Lc$$%6ssz9vsB(fUN*O)mGt9FD#xHpR6-m8iD=s3e7XfQ^iU9dNK59LP;< zP-q-^&LOO};P6783s~IRD_HDXd{~@GVo9MyZtF_sm8f7p7LX|Q3K9nv9}>@2P$1!Y z45dDOXDluNl64Xw7gS??I~<1;TCW73i;t5Bgu?CfXpUR}NhjfWrxV zOU!t*S2Mn4@n^hj7{t^fr~0Otb-7owE-wD8Pgt8v29Hg?C1(7pUd{N|7k|dfhUfr6 zG68Xb=$m5Jzu&7_zo}cZeu|LNzDcA3Nwy$IDE5LGk)?Y%osE=Kr)DOu9Mc1eY<5 zEdGp78d`JtmFw0ARDJGUvC?C`n)gc=f8NX16FEhWOuw9EZi-nS?A5HRi$819O$5m) z-x4$a&0fv;HQk!=Q-qwJZ*_L#Z{ky~w>Q=6&)F zJ>pN7q2ZYPsoK|FAgCQQ@$G=eR69*HPJl~qb$~2ipn>X>n6^ej(wD z__ae{LX-aIe?!Gv^;_{)K_B|yNSql2(Yk%loIt5r8s~Bd9!JEo8$HLmA!TNG->SAy zNbIf58QWIKaY)KY!5oD=7f60xmylcq8o$;GG)`K8ev#-gB+&SM6y(=5_K*TTRirWU zFslgS$x>kgF_b7p<`!q+s2!A>2ype*GBQh%Ci!Ym1T7*xtXLfzS{C~MbXl`loyS3Be36rG6i+aI zV3g|33=ZxyQL`qcBUN6%h4(-jdC)1tpl=5t0y>ARF$bxvEoYxzr9#QD7Z5&;=xXd3 zm9C8A74-iaBf@+BBTw9C5q_MDKI*b!^M=N`0D2`el&%ygV_H$kq|o zt7;lH-P$Qtrd01dRhhTs+mhiskHeOb_=!5?XyS2ctp33kd&MeC zdX@!dDUF6a7o8nx(OCx@bNNYNQaI>-$l924US?yy?kR~BQW+{oF85>CV@&Vu?uvM% zGU|$?O`sx|i|+~g3lwYx-B{Glo^Vybwj-wZF;Kx~7(N|nK5|a<(X~u6_fj!8P>Ve} z%R`k&=B=P|3B^08lnM!|gRGByFaaPkUV ziXw8N1h6Pn;gvZN5UeT~hw22fo)D#@b|)%zgaRmbLXkqGPr%4>88n1Off*_}#k804 z4D3x#CuA{WMA{3G>evhRE`b{{sgB)zkm|HE`o{7ck~wf%2j^4R5{+eGt0oGE=E2>4hR*Uw zanWq#PnI>Od=?vdzho90U)xtsdOMx<+kd84!+erZP!_JFo<&&-oG(KMPh18B)r-ZEwv-I!XSorBzjo~ zp)`s9GqDsu>e5muUCR3`UCMfEMZPb3v~?+?zYaEMvy$(y=l!KE_>fnnEp#mjViMAN z@7@7U1Dl&!m8o%>H_5Hf0WU#IsOScC4niA42!0>qwTWS%_30owOx(J2M5Cnn2_j3nq%Jo9=$=f zNk~hi(ghVTG(!>_i^iBFmOc`IGJb`Fg)Axo6=zo|B1CimbjUC(_$weM`t)duurOU= z28x9`FfoRD8GRKGK0q!4+NzZ;cAcfIdUhD3q@Wf4ia?k(ExPPrqkB55U$Qp3oSo5G zef$?^X$4^AY`eGOZ~B-tWz)! z6{wVjZrAK2b*=|C>dgWqa&fJVdUgm5OzTRx34KFg(`bthV{Oxo);5)MGu!lSPm47Z zFq0FJixlfDv|+YWEKkfGXgA;a4*aXZ!5dZXTRPIH&>i;KZZ7-83eg(`H%xh#aX?aq zD(p&QQ6;S?WOuOo zld}Taa$&9AcYf3P%RSiQJ%Lqswdg$7PJEHI6XiV3PP}hJBG#%san~DrxNZVg zasqOpV(ma1RtLqh#N2^)^PTU&39z)~sc|J+(uuT7*-;HoYs{)RmB4`N(}y#$Lz2bM zl%P&3dfqND$U^sK3E!4p5aviJ@CpQx`?JkhO5yKpX41iCE)Yz?k>A$X4qmay9J-<1z1|w z5f(cB)~|}W|GZ0cS9<-=T6+B(EfD-n^a#xVlCSWXw+s+d44AA_JA zy?|-y;_RJ7J(VUaU77_R5;svI7X;6Q6Tq{b9W~9E8QQpj{@FJ*S7~=Za6HW0YJvSs z(N)Y-)NcN?K=aXcB>h_{IqZhSCdf|6#?8wzv}Su^@0QJ29x`(TR^<7?A26_kKM`;q z6r+D5t1+}*6xU6;I+oqH9 zN#i=!bHTvASy<)xt|&O4*o#sscmaeTU1n{PxnbT&?`!k(X--#*+p9=7{=X9s$54q;YD=AApKyae5- zYM@Qf4NePvJuUU!^sZNVV($u2w8K3F$i3*VD-aeNdyVXq42(-C#(9^FhGBu`B~@%2jkh;{2TQv)ik4<4g4RhKtn; z@ZO^@K32GzgtOmp|F2Fio;WAm;h zeE?wm3Vy*q41Ouj>wHbS0gu?LS6{h=;c=PVh8dA9L53aLN17`zu<~oc_`_jYlP5+ z+ESo<`~;u69M>k)0Yj-csSR-_uBu>pMmyJ46Jt~Mf2B3yag}m2Kqcy-tb87ovxCy2 zDAox61U_FX6pdpahcr+K<0H86is+CB0L1t@kzJ3YRa&|bcy0p*gxaUT=i#JX2hP}s z&V0K}N`g}@NR$&S#5C*{Vv4*&T?J3DK+_C$><`M0PM8FZooz9JCQL}&!cBE_*&Ykh zqHxo%qp=POH${h*K48NNI=xtvZHWY0Y#v=kz7j`+z@m6jWD-jSje1UG+t@MzG;f>} zN}t_b!F)%PcLbWhv3)cTW#cq9cuExDfX8ex0~U%6jb-Xci2;h`<}{MC_il>`|LIYl z@aTUN`Y#=uiD%5QDbP=D0?E1u8SSWrb66&{_nTyzL4DiMUhRdpIx)1tlL?8l(8N=2 zvx{23D(3#tE^R%fz50Qrz4~Q~ zj~uvFq!NHwHbpG71@rjS+4KY}#IsTwsj>?CV3T9oUEjiR4XX^Pch3#TAEFifq%vHH2zeTeeuo|7qV8&J_53gd^=@gD z9Oyu`JO%&Zz;C&G7F4Fv2hdR+y|Lp3O}`2~5oEoLaj@X}za?n?Y7ouHQU&qU3_>-O zN_bF($YG>XU4}OesVR+O3hbXfokm~>`%Ym>&_WW7Giik2Q%z#35U6a>Wd;LTqS+za zGzphUclmrBVckffSyvh@7E+<@0<3uT*xEtxfG0W?3eUg*Qu9r!0^ydNtZDA_3Kk2h zQApq%Fjt@faUcprU<{@L>1-UOld;EL)mfFhyJa?(~R zwkJ_aBiFe5m)6(d+yHUMZ9`?5Y=SQ;&Js_mjqIs*P`24xR)#wbmS{7I1rk+y%9R#r?~boZzAHsroa*+ zc%Gb8!Lwzv%+KpzCyNx^YP9sJ#7^2rnq`Agf!Q?XE=+G`D=Eo?m>IQOO$BfhnT9<> zJc^2$Paj0S6y}n!ud<}WEm1o&7mD@4w1%X*tx9Bd`RvfdoqMVu8ia&a0qJUTg2^qQO zu?|^#5r)Nj$2?^1=2r)rZ+ggDXYA_-2lwPM^$I62+N|XkA`sqPvy-71K;RbkD=~J; zXva3Mkbp3fZ_ zH_qqjWYuZ{gI9hv3LL+XTAXEf!o=^~Uai?p(Y1;LdGl^eueT?6Wn{QWNh-lA1|mx+#?Qvv@#GtwdI8S}r$4Ch2kF+73X01X|Y% zew|gs?0`g~0yNZ(yaP(A)CSFJPf7W)n&Yh0lOw{1H!4M$vXn3|9Z4x8tPgg z!M^|+c|HVU_TFtV;U|ywgzu&N!B3@aF2K_Y^6e09eI~rs)tTCR%p%qAxKQN$bKRkx zrVq|PRs3S~<*-a-a}#908dL1z010m!$Y2Xjk_5joG6`+~j|mS%bweA?_}5a7kK5W*nXIbTsRx!V2Qa*q zDzeZgaf0~6Zq1$KvMK&8{lc3?VgR$yzne-QDooX{&b$V$EmG4K$1K%cCRCWlc4Db>G$DLaw6C%_m1VoaT^lv)nPymE!y z-61MxAW-kaV_pS(S3Qd#BsPY>nxbCDjPKDHWCSP!D+3-3H+o+K_@JNY*{@{yS9rF( zXzo~3JZK(2BiqV8ahfgR4}$(Wm*Jwx{d4GV&!doyWy5vV>G9~)GY2)7lpe$>kPh`HY4nxG$8svuPs)X%^ z6~hy4fZfZ6k=~Y)2J2y52X7CZ79_DR2fHCmih?pWqW?^=D8ph!C3DygPAd*5BuXz_!IuOT%Ui|Silc0nG-XPV0|SBI!M{k^nHU9d z?qUR_%;pR!^rG3sTEgQ5XzuVtG8Qi~-iy9)&AlpI_?a?kfqd5rROlS}EdKcVg|RNa zv9xjZ{z|!++rJ@kJ+cUM3=6P=Zjok`a{9u3i&2VI0LC*73WNHT7cD+uN%AL96LNE_ zTLN~Y-G!Yezi+W%w@-9sTY+7P~MYSoovPn#(g#q>~ZVt?%9qOi=f6NuY z?B;g{nvZTzyK%p!Fu-J|_BkdUJ(kONe--#5}($xb#6;m*D z;w1gPL@M{LSdk-Q9&$xG0GWqZH&}QzE4ngxbxlkth}p<46S8!bG0i|ESW*@hU95Hpd@%bCQ&F?%L&4$PzjKzTT3H{UsqZQakh78cxr zVw*vqp!!!B2Fyb0R;8TL8X2-WdYHz{9=I!*9Q{`OAQkKLx{yfbe;`)oVF50=G97@< z!?Bwz9D7J~WpHd`JWz%cK0+0Uwgb#N zap~IgoU;1*-yp(38Pbq z2USHelv?uK?J;zr&N)N_qG&<)Jfyli8{PF>3yRJHTF^5icH6lY^aQB|eO3f5s69-J z6a^J+j|3HM9EyjCPLmjgy~C85h7Q@pex%cY5s7>{l#>L4mJmvzV#WL(AL`775)E7) zIhd&||L{X&Ck$!r2u#DfEzZ;zwP?D7L(k(8#=jB7Q#lL6Bb*(wb}?q} z^Dhw|1HSuW{x=`(`Ezb%B@Ztib_x*4b&=TB4r5{|y=)Y)Xh2i0qv?YnJMxC(!`TtF zA;J+2bNQKKaSGlD zpdbT^PPj~s_DkR<#!B!~)i;QakPkWhw>D6<0nnq3i8U*wPlC3*6Ol8!89FzV&7vq6 z<#O&?*F#+o0)t8TybuEPj7T87$~^x8Z^Zsz(G1w+?i(6tt+_o_p9T_u@4YP1KelQ2*0JqdUZT8FfKT`xPBnvS1Kcn< zhcK)*ddsuQed2@gM&Ebu1wF2fh0=PH4_)5F_0i0{c3^+_^XM)KGHDI zE);G9;shF9+NohqLO}>G?bM~6nwwqpo$42x%HWAQb|Hx@Hf^h%b*#<|S`%2IlSGMoCHtc`11_AVW`; zlA05QdI1B(eS>15aeM9_VZMRAy`Xca7b&Y79maAfz?9g!6UMewVs8#8 zh*Wuo$Dw5FdK&$3nN_LJ;fgo~wF}oBVTTM-%}f)|*8B1=0s4wDr$h4-br0 zXxA=9ju^bfrA**f+Y@LpkPg$8F!i#bBLuO-zEwNI-EtIt6C?`2QB_`1I0G$`3qg0C zcU2}4Q;(ol4y1R_0h(!ICOxZ|LQEG4`|wAZGWQ|hA-wkBxd&PeB_b4EC=CFdMV0mp z9*^datRF9O|++9G~__2r`cdpD{E|u9QL{Mgj z4K%2Hvb0+pLzLMmR%SzSjFVgob>LF<31v7U>>#5!PRlB1O3kMuBtvzzF_hXDvr_wV zx1ypEB~hgf;-X+}8wzHk^NxqHo~5gOUNoqSg!0kCciY>dD(~S2`y2 z!UgoGT?UC#{vu-*^g+66gOc)i0#*Ffmm5X^(WL*N3@+xoNd9pt+JucX&B?;3L!oPR zv0Ds-$L`mqVgRC7e&JG|!drn#>7HHS@LN!dyYnyRN-Bv-b!8tvlLLEfo^M2)1$$G!^X~SFn z5(wPpZ~VAQGx9m$Coa|VD)=ULM8W1#T63oI#vjb1MPa6Ho}TNVq*2EGdw>wg=eF;9 z^9>*yvkMus)2vUqN%iUh+!oL@zd}n63ju{Rday?wn^J9HqW{JmQw2K2sD7qGk0V+I zt(1!W%3+J_x&@8az(9DhA)=cIia{eUB~hqEub~k7%yU1Z*$Pbb+{^fpR)KCT$ooE3 z=tg%M@)iFcLS`OMTN8W@Rs@x~$6X2q0P5epMO*nGaw0WB3VSg^_zJf%SG&5A9N(0u zXG*m{5DG87=rkg1M=p)Y0|}=m8R)y~NS;9ng-us(->?J}l?mMcQ{ z-Rc*jfy?X$s1x`10c<407Zw_!Gf;J}_Tgnp<0Ac79b*b%Q^=AIhHJnKQ^QB|fr#vR zX{kTuK*NtWyi-6etJW8*2ZDEIz!8>lo$6fcCr1SqGK z7+SMEv3JX6iX6fU^|2-aen6#x6{*x}N+GzKige{twL`TPs}d_JD^`+k6~!4T9-bTA z$Tw2t$T6@|!gsMd_mh$$V7UmS*N7vUb4!Syqh&R!bt0z-;1|mDjs26kDX4!}tB>SRYF%;yUJLmo zr8TYApfYtiL{e`A{*elHV?P;?N*O4S5vrOl&My2bpOCh(e;-?^=-@VK8OKTI4TnCW z`4ok^%I|mwh2K<~wd~5n&*#`jJ5%NNL_yy&Trm@H6NL{dm%^(QkX&s739wL~iuW*_ zEe}9_It9Hd)QnL0Qis#B%i@6%6=&UI+@x>WGqaLB#2 zA@?p1xwnq)$z%9v4@QUw|4cBw3pq}=Nr*QUAqSkFQ?l@5E;{CzTzHakFVng6Hsp z+aLl}9vVky2!2BPQ()dANLt6;VF>AuBcggNLdx9*2=Ja?>tt!$xVr#`T^Q&%GASDU6;vP^9Q4PB4G#A8?L&oULyxrU1*IWF7BNK6vRd}Qj_s(%v$b*K^DiFHaTpD5A z2<6ElrfM4LUdG`)Fnr~z#PFKo%TX=5$}w2QGQt{3gebr{=LX0Nkj0bRiAoZu?>e;H z0ftBiSl@{Fv;&By_$)EEkT*cm9&*h zFoO*c%Rn-7fwKxFdMESvab7urP?l&07`eO@N_G0ng)l{s72r~YfIOOBZeoH0n8@@_ zauF(_qC>KpVXT`FxtGI=tb%MrA%c~333hr4@+0963r>Ng5Zb)P5m$w^pggeLIO_2M zii{b+1l*_fqLoam770Cy2)4y~RS|;9-S$atYzg0%@U7SQCK&DwL>ZakmUMHG8E)^4 zSRWwOJz==zTooT1JR`c#aGxo;kP9PlAz=dzav|10?+!5?ot8VKj1zUX*R(Vhh1pPo zrXs7;FND=I(#$&@KgDusGD(M>@#t)wfaXT4*zxyokj#VgN?EkWEiX9W%*iK>zUx(l zG7d8-`}!YA1Ib5wIi+yYN5btFmYf{ zn7yFzZ?xdAw*sD`I#n*$@~OlY^0H=sJk5@1z4v&%P(-ne`ZTylYQ}_dyAj)~$deOJ z!n7H?z^a1RQ#_Q`EvtD_tzwKT4-Gc@QEXAQKJNaV&lRUBjf6;df|B##K*?PkwKY|s zJM)E@2TIRO=8@Kur<4WH$xM^M;Q=mOmA^#b-*2_RKdadL$?h_nHdQSw-+j^e>smD4 z?4+6j2BT)stok_29~!xrBN{-RzAp?xZaEVjcrp4~pr=Z*Y3=@Bc#M4Ft~a(4pN=X{ z3OtcZCyAhSbZSjr3q0|NU>KhKhCs@uoLi`RR3qYJE|m@I;GRGSkqb+Wev4`8rmUu= zl$v6z3FQOvG_;jMLzD#z5|g4{%IzPdLI?igZBKeD&MI=FX&=br!iF=VE(NMr1p^tx zG>}QZ=-R|gmJFE5NYo}@OB|}G;Vb20j3SE~kG(vUmL7*(Uz>$xvjE@EEPtgrW{~BTaxUTE zM^$R%I#R>rMmd2D2B2(!_T;iSK@O&i=n)G=>!1LP!wKScNoWzg63Kqw(?F12fHc2f z;E~)F7HK}eDb`3*-Qqp5CI7ZX=dnolKnUrUGc~09QI~W-6A`{S@qU`4yg)O#@)E~m zQT{MA`%8h-F)4po2SLi;&J3Ctt=SfK$Sf%S?7lu%1!+@eAyNS*?m$=}F^(=L%rU>K zh;o6=CRV#zMhf#{VG0ycRZ|6BqhNB7{z^a;>VESAFCG_5CGnyI^5by?gCXR{f@K%P zqO15QzaHx6JfC4&D@sTBt(?KoJ1+oY$`A-KV+MduK#>ZCGA&Yhx{!gkm)^{phFoqrlRL<@?9Eyq62ZawpgJ|sjgmTMQi+?&GvL}`MdIy`l-BujmgyKwQI$H? z563UH3W$nIPJN9i!g z4r$wJmpI*R`jBs>p(ohtb$f~HyjZ=6uLuo39G=!zei8_@$*O>sx zRLO*$1PxHU8SaKPkyI3&+HH6W`wkD_$mhPbCz*)_&;sq=8Hw2nB@JCgI3->e`J2ZnZ(z|zlqab zLv=w|lebM8XFQdTCr7DjxmafhDjf96xrdK-U8#|HJfRH$Hv%ya8dAx$`8cL2a1*@F z#QK$INHpaH*{F2j0v=s}Pt20(4`F_gd#5N3IHtgA2KS^_mZe|dc?u+(6bs%tl3Bva zXDiy zo*GDMFc7#$+$lKZTB4L=UROEyLHa0U>P0d?c&=`$Ih7hYC_<>A@z6~{3Xge*@tFi8 z=A#3W5z@9mZ$lCjR4zP%bOrgtbpmGN&4|BAFT~`E@{SvWF7wxrOW=A~L?$fGMb5_H z3FP$ibM*&_=gunWiQoVpJPQ>JK#skp6nxcOdI|;nsxT25f*5KhKHLI7Ef$+RH(R2C z=}PVKgf7g(hfbgjLKJpY!x|g!+^huRWeJ63}kyMBC<1klQ-p4e zX>fJFk13$Mg<2=!Dps_`m;8_^qoE=Niq_TH6&nOvwM0HPM1RSl2ehz~Lu-|ELFpbq z8;L()@&{feQ?8QZaJ5=S3@LeJGoPU{7eGsyJXW?5fX?1i1$Wap%fjdYbnNE>Iv?yVbiBH1k)bnsD-NKg zUD%slDAu|aV#PW=!q)n&0*6pi%)yMYX4;Ew$w9)s~|ahRGVMMcnTpwBifg@B-g^+u~| z6sW&tRNYlLm{NFC38x$pdKyg?xeszv=A3~@o}q{$j?l!}0LHnPtnrk5$4cwN;mZPX z0_5*xcuo3M2j?|eMM(skz9qKDS6g%(>!8>Wa!|-w8eV*ydGRIm>oNL?WtS@<@huir z3|sau2po$^6~j6RQpI*=&{$5Xgi+5ENxeRWjn-HO3))2C&^$CHpCNbUM{&`T=1-ty zQSQrOoc)3-zpq|5>#I+uNgEuq6Tr!!u&6X*b+|lBV0@E{kAaGb`1Uf zIXBd6@HC+Ej;t#VQ{*>!N5HthOE6X%{hwGG{TGFR`njUd5RLwwo1k?pXOUnNZdv8x zLF6-UL(xFYSx!nRoy#rt`r2-L?2CB6pmOFiVox7QovvkvSoN; zH~t()67=otb7Q)JwTO9kI&w4w1piKFh4Nk`CVl}w!RuR~kEJnr_U4dPk{ogPD*|J; zx9GA1;_Z10ZVtg%IX}Y=Z)JA4$G8QTiU4-Oui_UGzr^ZFfJ=I0ot*7xlEYSalR%}I zTyIzh*91C=&vANNRw=7PN(C>{sRsY@OdixI!zVaxa8>~q z?o{S2pB<1-GovQp+!8Ja>DSY0@^#w=3mIdMih1Zv;O~8(Mpju$KWgG*gRec^ZDT zq);O(5qScbUO;_xFN$vln*{z?lMPS`WzB?jr%GP4;Me>FLgn0XNdol_$)7R{ky?+a zpNe&aM=ggsl4~!qKA=Pt^FWRT=?d68@G#^LY}t*NlQ-H&Q{^2NstOS>WDSC(ugpe@ zenm7J%?ospxMvZc=Ps}|k^(LGw%7!3ZZVKpWa!2aG9+hhSfe$}8Z9ALTgW9AQNmSX zQ!GjrwurwYFeWA?3+td`O4j(n;NYfg8WwX%YKrmMK|ynVu})JJvR*)vQI7Z!-Sv-{ zUMK^eW?uY7x6)aMT;kj?0wswVA1ZBR@KvxO0t9kYOCv`Y)Bz;z`-Lx(Bq^|rspAAW zVyReYZpiRfY^7F;0^)8E$^h4+98oLiAV7Uv^Ee+AYb6oGA~WZN!cG#GChrJre5ggI zu}I3+5RxKiXgHfMxMKV--g*mI%jwGnj1i%+?SR<%bB znkVk2u7Y*Ju7J<+au^u?1Kv4MCn1vq1q>lgI_Z57OuZne(NMcce3!1}Gl7dz*3LO1ri|%95gY6;oK+e_BgU8|C z`U{Q#0^|}3a>Zkjg)opmF4i|DSqSSONEX_eL1%`*FvZM5mV(hC@Ui>y5Rl9UR;B z2KR)uGk+dps61yvnF}R;wYFG>neJj(Ec-T>DLWDAIOL(`e;~lRvP)o9w#f@O8SjJq z1IqPacL;P}DEh=%cE61J82u&!PPY=bVJ5@QOP~vEDk6EIiD{9T3N~<&4u%bueon>& zFpzEs97?(fN|CLAc9GiHuu;^6kI3lY4JI6ANMKX8204|0r-UnX(dc}NpK2XSC78}I z7Y^GtZVs?sxVmfzOmK(BuOMF zRd1%7LEJVCPFV>pPIaPQL2t0SP4UrSG;TzQL325cqB=P$<#7^PsVVlBCRP(mpX8r` zjZ|K5aL-264g0*+xfT!_fen*fq{$r+@1@6y!P~IESoL{&_gg(vC2#Hu}6%srAtwcJjqJ+V|uph;$(2M9_;ypYMTy<*qKl zQXTCZt)u;x5RmQ=ed1_umf9+^`L~h2Z3i+`ZO)T#-#*G9pt3&YDz^{hYqja>hSjT! zcmaodp~M9_LCX=kSWOkmt8*nh!--m34SgA$R;sJ%5FX z&d=IeVo!x8-}Sa`*pT)IhSULVc&z1|Z;#PIiwp~4a|!Ml3s{@O$PnCq4LN9;VIgdn z2FZ}sR4!Vd$<71~+G#xkXSoOe#fXf+~d zXi*=)P&T8uW)MIh^4E}Z=rOQ9l<+F78 z7x&)3(znmi<@0p;H@d9HZ}UHNzJTvL^L;y=FX9V)yf39DpHG)B(G%y(eEoO6{s&(l z-6R~ z=#t_mtLSEuF5jddE_W`$4CkExrZ>Jtmn-q?9%miBaRptzjhl1M8ho8|zC%Ab)*0eI zUO-P@NS77-_W-WaIlK=K>duAyL+4`kkx?=-V(|zC)Kc(!ISqaiL@`&cp~VRHMQv+(duUWz{xZenR)=x8rgl zG%n5$=-Wp6wuh>cQ5AM)jDCAJecM6p{W*QRh*Y;9Ctp) z9naOBDlnWfs}QhWckVIA9z*{eCdv%8)ih~_nnS~7sC|#VG1Oi}@MEZPq8x@A*Z*Ls zT~DB6s69mA7;38tk_@%i6Z{xzT;ZOf#sy0lYMknap~jB-3^mq-G1ORVLr`=0z*=#r<)Yw7YDy1b7re@2(j(&Z7l{D3aspvyV59;eb}JzY|Cc?n&1(}l{$I~BT6 zWe(@9bfGjh&L`4gboQ%1#`%v|U}+sb z)iU_|$UKPH8FVX)i;qNkc}=2c6H43)omP$gsW}vVZ>>^i@5XFm7aQ;-#asAw!JR%q zdxA&*CHi(Z#=Da_LeSxMPGuGr8YdL8LzipjQfmUu>EGD9I**hqt83-)Lb|%TTFI=g zr9mVoNpGjWq8haLN~OETk^U90yOY*A0#b$P+0yvDqUrx3CIQ&r*97bXL6u`;(^j1# z5^60{K*5Fy14ISI%gR%!#AZZE!pOn-UGhp}NNWIz#2t_;MW|4sF0?1s=SN~{ov)AP zlU(k4tfc-@a~;o}ElU zRj+cKUGQkRc}YUhyDcDhVOJrC-NyQAK@~{1yA5D7wO<&iAAI-eV`}69m=LBk@hd!h2WJDA=n4%YwK~1$eYm=y^E&DFwY|Oi1_7 z#WQ!6a>>1U6tMsyh7~>l(jT@7(&04`L3(Bx{i5D-Evc;kAtd2@@xl4+PMh%X`I~A* zn&ER$kn#@1*5_W*=0#Yl#VU~VcqO?PLFiPMIse!oa|J~ zB~(E}hZd<>*D07hQZw9X6G2EflQd_*5kgrMR$20kc%)TKCE)O3{Y-M>_?Whxre6+C&iM9h?W=k)rlr2TgdRP)AA!O?abF z(r5=wc%xWA<^ZCY3U_`Pj1mQf{te?1Iqvmb+AV{(oEt9I(*iA`ryG(Ae^!r8fr z7Nx&kSVq+WoJ~P!+;y^rKIOUbfqGG=O?Vi5J~z>IW$x+M!4e38mFsE*xrXc81$Mt)k5S=odWEwE<1cpr%m)6<^#J*lV!s9>vQ8!K~YgUjx@03Sb3gJw7D8< zqbd*vkoA_vlg#pXk`R^1Y-)?J_DPrN6v*B>?eDaS;5v11KzL`2B6}S);f-Q}Gp1AF zscF2;e7pD%Rd?a{OSX3A?{vCc-irTLr%m)6)@N?Y94M7%P}qHv?HB=V(fiwlcvStw znTW}e{aSGU%T9sj!TsHxHqmpqH+4M!e7g{jsv+p}IlWr2{+CVx<-z*VPMZkAx&xBr zQ8i^7?w|>86e~N``+B2b2Z1I^*5KG0%Mld8ZV#RU;`PfsKMV0ZOds|zF#vbd#qW&} z=7j+dg*IHK7BqT0d2|XTopMN6@O7a(IBQ>YX`z*ET*X(sgqFpu6B(QA%9=9nE^?1OY^b&65bi9!a5Sy_o>mKn;8S4$Y}0~i`E(w(Gipj=s2 zl~skAo|4vMQQ5_5augsLRDeP7;(i! z{jExvxJ&viCANWE7a0;(QGzS|DrQF+PW{oI!C1T{cyjFkfURSAiY@b8fxx`uJMuEr z#GfhmUDyL77q`7v8c$LMdMbQ?*&(14_y_kNVCYP)SWIRrY2bdAPz**vidZGI)FqzH zCcw=)1dv5!fH@+`lDc2|S(86Q=fELETl~WGt zyc#M;1%-|mO31lGq%)@~lpvc1{zy}PuEgFgn-deLZ4G3>?M+CBpF>8NOu!j+F*+2` z{-s_)yML#TO<)Hj>r8ydh2l)~4AM;>oF6FI^xlz8qhmX^?7VT`O^J<(p*8rIxHNIA z4zMTpV7(?(4G}a0+cABxT+k_IvCpeWEZN881Qo?f11nOg)pQQ6rn~~VRP9i0#j3=L z%8He=x>&v3hQ0*;q3HUUUdxSqo1+;AR`!Vp-XFJZ@Wy$2Li&NU?ppfI`*^~&b;m!hqp%T_K}F)ej4u~P#Fi=SOK{_56y2suF;n} z1pMN-srl{4HcsQGH~^8=pq56V-w4Buywwmgh!OZ0Q*RRn_uBLXPFR#01+#dNl4z7G zHKcY=XUEj7K7FeUhw4icJMh4tA1rYYdSJ@COs@K9CPj_VhU)V*F+l0!EAT1VxUW*r zt(5y@@w@lq_)HuecYcMiCJJ_6cb~%UT0}I9h27{ZfZcZlx^0deO|howgCIJcKx-_Q zSltrG)9=xUm~Zrtw&`{saDGmkx4PDgfNe^7oVOj{=Bm6FgK65e6XrzHIC%ljx7 zYV=V=`)VYPDY$lICN)f0e!IPihW92Y+N%Ksi&Xfbs8H=U18d$aglPFi(Fo~jcrQY? zK~xJWDvTK3IUzk>64K)$5Kl^~{;Gpljkzl~|kV+qY$O--g6t zj~_nLN1a1Qtflac2{pqMMCw|Ktj0yi`w-Aml+d)68(^-R^W>QCsHR$B6VqmGtC}mWFpmuaIn+tWymdTUjVT(x3H_p zjjnpzn%h&*;n7CL9_P0}j-VqOFmIY4%l+BtcH@4`yx^9_I6k*k&N^1R5ub++J(u|A z>|`9=RNV!z^VxxpBXcaHFM{3{rD5r47}}7ywLAk2y{o^1G9)*}DgU@USsF4Sm(a-; zCOGX)O=xd7j|6!p8{Ira5)EjpGD3kS))YNNt86 zA?smX$fm>Fm9Bjmm1fN@<%E$wEqCrK73 zSfQ-+%7xv~Mv$s`B%Q&vusfZ_#|*N}viz!YBC;CV%*9MV*AqF&_7@sI71`r?GH8%! zw@^zL3wJ_W&8MsZkS}2)W>m^nz2O7iTS@7N{R5>H8CJaZ0BSZMO{FUbay3ZUMZg3= z;-YKMA5LA7s8vvB1m`Geukc`m>!u7}wJI^ZX83Y4_oNB%Y1oxuep1y#)bx;Z6A>>n zDxW0wD&lV`pBW&H6r8m(Qaq|!bPRYHk>KW4n)OBvpfh`ds!j^%x*vav&xyh$DmH4+ zae~jua+wQ2tCcrXCA$xE1ha$~O7o9AjsOGjfJ+@@S+`orO`?tpa}A7WT0f@{0~O`4 z$c!oAbRd$!CWQ>8B_N-RDFF3LXxR${lMGA+#OHv8@l6`)LxtoSvSzV1F_WoNoEvvp zpGLe@608w8B9~M0Rf?g>Ci1!BG!F#n*J(y>ddn=LXeb>l7Q`gF1gjt2W{ZZhAoT)w`+AI;2C4#a

6~y5fpvSgW9)AP=uOrE%7#_CJb;sP1!50C_Dzr zDw8TNzM{~_<*f-YTfNY#1?H+mpCFgleZAT;DT7?FunZD9(8y9qWInZVNSh!i8nLf0 zn?oJP>KOeoFf~gbE6I9?BTX6c=uV2P4^{IRPs!^B3BF%UywsLT1*bn)CvEjZ5x9D# zl(+%RN)E5;KW#Pk(Hn+eu=!F@rTPi@12Pu!g$}V9nt`$I;2mGDQId zOWQCv#j*4z>VuCZIf6w#mON;`J}~K?97}Sp>R1XwyZgt|a=AxOh_FY)25Rlm`=#S% z;+b0xpo|h<%(PuGG*|Y+lNzb5pi#_}Sv1M50+Z9L1ZGZ48(7*su3SytN zO~&AR97x~QU?i}X&sR$cuHGT8-1%24!@BLfEVJpg<;NY8BuhAMhddY1{^u@1TX||9 z4ti>Dd(XRUpnqEQY5Qt7cJ3Ol!Dt`4OO!hcdwY77Y`E%3QPk!$&Z4>M26=FFyKw=| z$HmmTh`jHO0>}74u8sQ!2jL{?kvA%&$iP+(@5aB^NATcQ304S61)yW88oy!Vp-xN4 zUc>fwA-bvD&DqnKD$Ep=E3a$jG(N%FdEOwJ^S$<`gM+&{5GAptGztG4SU_;( zY-W#^L*T?|*KMYV6}qkbQHY6$`V&>x-13~0b*RVHIR_1~Ipm1f&y*__yk>LjwB^{& zlRLyBfVPcMAPYo@D%B&W_KxzqDI<h2I3%jDq2#)Em6bMUqjszT+A7-E$#0j?0IeD?)%+$q*eB1bzLM~P9tZ;4SK z4B0<3qR$X9YGSXEi`>+(OsY6XsT(i~-@o!KIXfU!$CU6T!sn*HCO*by-V9(Cpru+-&^TuHzV(&G= zM|u}(zyh>xCg9pdQSI>od?q;-s1H|*0#tV0t?^UqN8@mn7=nIsR+=vuy%Y$v zge{@i^2A+l^zcQjn*^mq5bGFjM)`Ey4kAnBqjOAsc5yAB#O`#3 zHX#w8TWL$OdMjHlt*DVf0E{~%@@jpWsvr-Se}>kZE$fHVVTjxp*8 zj>GptBA6N~ON_@agp#y>5o;_l)*@-A%N3OrE%;Duj4!q5CKf^aNC-ibb20?&FcUO^ zf!N4PIJjfPN6&hQg#sVs5=pd+MJU7Y;ZcEnF$rZ@2OSg2#`gvXS!KC}YQSe$?jkyQ zi;w+L$`kcms4Gn#6qhvu-?f`V%~vUkR;t1Q83avv8Z)n_=|wtAx==Qd5(nh^84E?F z%9ca4kz9I}F_qlHp~~^8MU5KN$5Fa8O|h0D9gZu#gi@pb6)Ppt!lFiJ1|cWuk^NX; z;0d=j*R;l>NFNQMNOE49A~pWw>AuiD!V$XE0^kw`a&2R6`7nV0R3K8!Eg#lFaLczd zgBJRnFg7eG9$H;J7^2Vdm#1l|$O#ijElo#si95VDjF7#Yr0@qn zYg@@zi$1YOqfgqd+#)7yKNgeSEIO7Oqa8}5Ci}nEWFP&%_GGUWePXgfFQ5#(fJ|K& zt;Yw2UzH#ZmE?HR-y;ea_h66KY;hAs0Zul`#70IkoKSS$paG<^a*qO~$Xb*h1>kQM zK zRXExZqLBG-+$o_pC&ejmDk8W`$1x}RUHvjW+Q-a?3U(tOvYUqxe?+EL3X85PRnYL7 z7qH<6@jk3HEvAuhdKT_ysebDC2nR^(?uSFVzpgyqtaFaqnxqJ9r2CtxJ`eIKzPiy# zxXHnN6NnZ=3>wT`FH&9h9qGGzwSd7>J_LLTSC(+4MY;e*7nLh(4rFl=9P6LxKTbys zj|)27oLP(IBF)_eyb;GDcKk@k$*xY5PP@;I;ItbyQ0usEc1E<}Sl{iSbHVa-yKz5$ zHWmjzzrWSs=UhZIiG`osT>w8{73es+3;&Ovk%zKW06arsAXwZ#A`D_r0f}EtiEMA; z2ED!X2LY6BCg8-$#A`;f!n;bc@hI^+Igr$us>~}^JmB^q(x{iUEtT+on&}F3nmOy(+I5j6M;4F36YYE zr-)P#*}6}p&X7dvc@cWa(KpC?0!v>GZ7$5v9 zbUAQjDo?8nI%tl){-qLfbotXCE`Fm-Jje(%9u_FoMP=!;JHX$@?CxM4Y_6%nc2CZ^ zm6%D-GEU@yK2TAs#66yqWr~uhbAEgHi4@CZC!GPlOhcavKQx#|$v~>T$5c{E;2X+z z1cKWRFa9`qeR(8eeXi}*`kWhOed2p8HZp^QoK%y_dXo)&qzpYT`6p7b6l~@!D2Q6x z2`Fq~*+%{)y}8pxxDb(h;$#W?o`{O^Jp@hTMwQ*$-Rz;p=Y1_8Xc?b}g0fOV|qnC4Rj{cd=0a{1DWab2F%)Uo^OjnajaQK*!n)VKbia$R55^A<}8_7h)|X z;MAEuP2T8Rq!Bqj-hK+LZDQ@(TCJg88tdL6;F zFzzaDiV}p7t(Ed><8+4|n6qEAXMPT8D=EjMc2!SmjDSgJ5S!88!vE#`z;S5uI6;5SSR2G|O}vm1=U zj9$XMP0dRC)2U%|&7@RfQxzP_w319Pqr;{86iP@Q*-u%zxDNdORqA~MU6#T~vQl6z z=<;6L&yE-)7h>dv%pk%9!568@UkY3-Jt?6_b4iGupf->ul#;6=(vl-S0w>1k)}_Vn z-eSu-%zq~~n%vyZD-q@At5(xEdxJuh4L(G1&)>bWT9or~YS~{#@?;mg4cX)B9p}c~6$GG7)Em$mQU2z$1?wE?W4sN;V?g#J!1m+KA-jgZsD~Oe zXlIUDtT&y&?&{2~fmvJ4gU@s3G^&NBeVB4ioX21uZ`u?=%Rkg4_Q&W4#`O1SLHM&} z?fR{t1K|9zx~0Su)@3WyeKQ>*(HbIkv)Zd(4N8<{YbICBcQNTu)K z(h0ef+V2B^oOxN=sj9MeSAI$uCp#O4uq%0)f`g-6~bF0{eNck(C=IQr~d$97E>o$2(1M5y#qem9 z12mrjybi?-{e4w}Et5^L2@#9mAsRGXE72&r_K> z>YsVy^@RLqp7_NXpkHBn*LIcZ*}qI&pPBf&c1}7STW(Ko0{Mc$z^nPHd=VKT zA-+M41YxsfHJxCU8&Oo}MvkzMBc>pX0a(%rj$&@?+P-e#! z6vb?0c^2|CplJTHB*02&z}k^V0x~!(Jj!)}Sc@0{!ANja49A_tT7_j=RL8-21rj-+ zhl)2OzizyJcq9JbzKOwurV(($aG9h?gO~8`D~#|8cfcXCgo!}?cmrMqDloEKr7N#a6Bl&3iG$=mHDBX zfdto_g+p3NXaEBshizNZj#tBpk3c+6wV#`MNH+TX3tgf@*<>Yk3Aqt&?zxiP$3g>^!%5-zzkwL+DqHnt&6 z=?2;hX)302grZE3c`hh}{|u0L5oGXPOXf(`+H2aRnvP@~?k*(byfV~rYZ<4N%-i~n zkW|#BYxFy5M7*Na@lLm*yX+e6YTM~uqkns*lhpS!y=$}zL%}KD7Q%T? zSd^~gFtK%?MXgj>)TTCAly0CA7WFGoMg>iJ6UPJ9HJ~3YHaN=|^w^$*0z}-Po_oYN z3}LOxZbQ=4j;z$ecL?6P1GjQ#y&z%lt%7E22R4Qu48``2G-GINZKxbwQUD_JI;Hji_9egj;LHmw| zckL{bSq7dZ0UGovZia-oQq!7Bea3^W&65%8qbxLyEII4uR1yr{P|!LQ(|kvCc)x}Y z)wv|2L$!@A(xGm^*DKKJkPdYngz0c5D=EguPe<|*&K%k&Pu{4wAhEAL*%ikdC{zti z1o`xP&RS4$vDZGSkGx$}cs3!WT^ZUhb~h8|Vkn&oLWRT3QMk{7Gt0bYBgQ_84k7on ziAHq-1%IhJHis4zIl(j4lBR?qhU@+Y`!lpj=%i|)a)iuVA~tZmRxCovG;qvY3C3a0 zi&+~WO_nsg2ByNEYTkTQFRj*&zMMnn;~8rrgKPHR_Yo~z;t|x zB=b-k5=n^eooh9&LCSqW=yvUfajO! zslFr%JavweV}}Y8sm}xiLY7Ai_Uf4lUy~cSk5%2krsHPLw;}*Xo+A<%T_(Z|N3esS zLoD+>v&i90o_C0A-=zo1ix@W4O|_x|?j7tNi|5aw+y+YO zx%JqkOKAnZA*_-nZ&_J_9yQcCIVh#6N9lOV+)G}hNcCM7{M3R%+F*UY>e}Ia`_h>? z`#1D>?#kjg-`&OG(_me*IHsk+VGcgYzyS#FYg&3$sxcMsG_*7o5e?&pluf%lO5hp*VL6kZ_SN6WUQ;;eXQu|Q%^^SG` z-GpAJK(9mDT-QM})Is}aL=f;^*BcQY(v2D_d~+-s2aBaLEV2qGMEAA<>nGg!&QS!1 z8U{foL@K;mwBiZ)gUWDK;715}d1QPl^=j@bnEr4~XC0C5c@62RGjmCI7h=phg{Lwn zwHp)tR{@ ze2>q4I|HgRF|{uhiXG9hZem|kpx7ZD>pBS2@l0kQG$dyixG6krzmS)X;ZG;eo%{%n z`}^UN0Zp_iQ@^`Pe|UPpX$8wd$mwvsp|wDPVx(%2x(RaZ#;@M70zUD+mO`ki;eJD& z@i?h?wJ)FxF$*OF=MGuof(`WA}C# zLxr_agVa%(hg^@~STj_>FYsW=;=AvrBi&;-oDOcrSs4iE`sZV6;@EWB6|kfW>S^i> zsc7N5!s-**P5=a?qLHmBRunp)$-*RHDX2a1MuJa%yixdQ;N(XRm&&aEC&z`g$2 z2lwn@qXSSZm!R+$y$S`*eFXqJpM3zV)^jOkm@1`qac|cxi^zW1v0KT>cfr|~%P~z% zqCy_FBuZ&jsn(5MI1`c1wb;+MD-%}PEVwtt-qGKmMK1ChZEbr+@hGtIA@9YtJ19N5 zzk#LQJ#GhruWI#&uw$MIJt6kI;Qf9St#h~8G>s%(v$AQikq-GE(-cv)gEnE*%VHUs zzpOP>!X}s@eu=?FFu!vkz)0NW?F`FW%^bICcRu7jPw&Wt z^Yl^v8z6sIazhqHxdTmjPf(m329AdWz?2q6QhE1T<1w#2NEy|EVPn95JA{PCy><}D z;WiN3ckWauhMy8pgW9N3r4T+!z(&9WxGG4VUwdf7sSz2eC;+CKQ!kS-m2SIC#yA^$ zG)J`epMZ?TZX$fk(%ADZg6HIGJ_d=4gNS}y*<@QE7CZ8s>l0B$W-Z71d@(E?$s<;qQs4OO(pxdx2J*l@8iR9^+E)odp zzB%$&e;5_i)%i$4J!FnlpW!(Nl1+5M9H|>v1aDn1gS=*B#LJjCfkvIz6 zLCCwP$_uMfIZ&;amC85*D?1*JztB1$dI|d?$quBE2uL78@jyW`q(5N!pem2&LPw1a zo9hp8!ZXwq0_UgWwATbXKT@Oaz8kOQ`?VN~i4f(LVGyW<8NIC#=i6es>WDahO+%dO zyxdddE$v}UJ^H9kh1PA@<#36DY!yDCdkS#=u)DzVkJ#-4=aGv~nF)@9{9kgw*I(Z7ZuXXE4J$Zm)&LG^0&4p?Av{XBW&qJp@ zA868Z3T2?w^2tLAxDFT&#Y@sLBp_#lQ-~}Yc!C&*tFj9#^MvY;n2}q=49ZNwcSL`J zL7^2nMrL6$(H6@8RtuR11z7T#QfM+c7lxRZ%dR}dCFviLp$pAL7$`f6km5DS=g7uE zwhgv>&<&}fg!a-a63QctXNaFy@D^I_3+Joe>{o`dq%QdAZH3^!64O;j4Dn4GhN#ZV zWr%Yb_$t3spA11D%dahtC7shsV9$TSgrKwUw4oiO6d8kOI<$ zKi*nJoPflVfb>*P`9=p&j_AA<@J8+`aJ}x?hwCD?&r8vgdkpQCOKc7{YU55gQu7h6+b7HW}m!AM)2Tz8LZHv_ zTr*gWB0C0uqXNF{CG0z4xHc?)Qo3lc?gdp|kV*#U54bZ3jgEVo@p+;chc^nO5h3G= zGEw;@e6$Ogx?BTS;Jvj9OFMZPh{75biAT;Bz#yY(Ss`z)@&?i;#uV|Aobfk*s z?n0{gpK7z?@y|zE{zBFOSy)7PDt7Z^#p537YY5(^x4()$%uS@&yYLf&zqJ8czMEmaub=-bB zj#p_Y#(3z~od`U#ptH-4+&XOBN?Ni}vz9X-fz5!DXCb2)vIHTG!R}j6_4_SIn!)=g z%o_ChWNh{ za1Wsjb);P;{i{$1pQE}H96aRfh3T%#YlFfRYli8juN@X{SkgBHw@SFjt^3+t;n41# z8%6ZyB{3p}?*CaKGxa>yisWLf4}LV<$BW>lA?7wM#ul$zw@Ze?O=Gsc;#6xDV&urZ zz-?5KN*(`a1tjxhnoa-`|9Jh(Yoj1h=b<-OtIq_0%KWMe=4#!*BDm^;x%wTNFltwY zLw@kEFRMloVMV63ciKI>c$OGwXQT_cMHUwFOs5CEvkbLHKk$NwJHD`C4V$Xx|IcXk&%zSgIG@Du|6;B8PP z#}Oo?OPc!6%)SEJ3H+nl9PB<72kcfGd0XsU2ZI|GfVY&Cw7JeADR^`p+z{%ZePuCX zDMgUIv6BPwQRsvijqfOvb5nlM&K(Fm38pfU5`)WmWK6$j$(24Y@N&_WYYMp>J*-S6 zvE9h$X8da|QNMgfnNvH*CV3 z00Zx#1eC~NjIb@wR|4uu83IaLL@S4CY%G@xt|;`Ow2S*o)Z3DUNPS6;P@&E#gj$p6RKk0?f}LyibUq)p_5 z7Mb3v6&$WgGK`Vx-atZw@*4&>5Xe~*=@IGhMHTZT7p>Or7GaGDafim46kX(CgpfY8 ztQ3W&xXIIp%<}l|yjdupW_mjfn;HTcts1O)D7qt#d^qBXFv_BvGzx-UrARZtTxif- zXQzQGfEB}TpkNQ(@W@L@e9nhv04(0mFF|mr0@>?g=rJOYE%YF*Zb56s~WBv8|m=NFSz0g(@n4~#A9a_Qf%bQ1>$^6 zU(8D4`~Ki3W<^vW=Uy1pTYzMrQd7|e>h(>jcbveIQ%*&J-xVZ&rb~n=D%Msa6>INsph%R9ke2M}~+qa8{Sa;&J*$23?2?W0WG0yx7lL#mWTPI_OMK zn?^vIs8KZvZx;b-px1-EBK%Vk&pnCrJXJTu5Hr~MP$3HJ4V=c8 z96j+KYIulUgLW|T2%)C~0+A3@yj?>GCI4k-sSw!L6=bViA_1@W1)J|Dp{x%c2<9*t zHhe;p=p>TIS1hbh1@|mQf`ph2cjfEauUQ9 zBrd3&BN~C&ONu0^27rUJI3^mo0&-JQW=d*Us*NE8AyCXCA}M;@)Xt35eeMS_D2eRt zYxKZScfD2*DU|SkW4cX13I4AC0}Umpb98t8m&;Ve&o&AbxTr%_S4d>niK(g@*++G7 ziSXXns~d>7wS<}S$tw|Z-Ew8r%`>#+x#SC}TG&CvN^uPy;#|P)DPW?=$VN*6CqZ!a zY_)&{L6GHLjVy6`9QC9|7H%`H6TWc9lWDqLPdrm-a8t#?8Ou1@D3|Hz03XZqRJ&I2 zYjXIvOf*RGNp-|Wb0S2na;!u23f>P@E=4Jm)>k}%pEEYrVGRy4RiWYGeL(sOO1~JP z*kPTgT)mPrxYNdgm|$}p6VC0y+123qb6Jg8YH`p%{Z09 z2OJCA890VWBai%buK$qdd55z!@iiYV1awpZ4fja9ZLm#mJOT`nh6B7P>|Ec9BPc>i ztA~{3as9(VVMtvb9kGpn)v%3gl+GmEIQg$Q4kMxOWfBJw{kJ1=g&0-(P>Hc4Uacd> zH6db5K<)p-3-r=;5ZMgE)mv_yC`^Epqg-0CXrvywAEI)395Gmha;n0aHA4OyZ9Ff) zDGU)mh6yJ2R&)9?@H%PQ>!?)yZMew&?`rz)+mzY-Ir|ycXD2e{&YeG>baRn-z)1_> zxM@eAgQ|<8gGfr^KZk9_8WD0GwjGhdgq}XaqTX=}2OQ*@ic2Pv_8JTLT3*z&BG@rV zl0D=q+tf58#bOD5us#Ha*wU&d3R&CF*$)B&w|EQJ5xw*|qB@}rqoJV9J@T|xaBZr6Cq5#)AwGzDV~G@8uDsZAKyRFtS6gw3kWpGD%X-K4t`uKU*XjWc4rTgw@** z9|uowhtaQCI9EC*kG8pacI2GN-T8YBTh|Y^*>Q5$I74-fE4SeqryFPww!#Atl;K-U zEHmKe|KBDM!rzQBWf-VP!5H@D_n!&ya9wbODq5Yq3|c99b_KLS)^z^ju%>|xE^BJE z$ssyoP263GHC5Z}I5}&&QDse)HdvExpl!3J8N^JyG7|IP`te3%Cj3R(S@eXq9T`WV zYEUn^(FIq?8!pZY*>u8PA+K+fP&-;7++Ape{Cue6_9H7^;KxOHbfrdC=tCz0(GbBf z2?ScG1k!`{1&XCp;P2DS`LL|QrKRsuZ(NFb%ZQ>m=ur z11guCXoE}Y1{&d#zoP2$PZ|)%E`jg{V<%FRK!HT*Q%U{KDu9rs>~yP>{@T;7p>3?v zfZF;Y6jZfN4dv_giQ10!>nA2ruCqMiX+bDQ>3U=tudPRboP`P)Y*bi}gLi%Xpe)&x zOF=}XOk~yC+JFk1Yiz#xKMA~4i{7V|wW6veBNn}DT7p{TI5E#Doa2izowr)FG48~^ zU2oTmupfjNv^rDQuD4XBkr@Ez8|spA`iQ(#IEbH=DgR5Crfh#`-W69k_jHMvn^FV% zbx-NrJ_Kitv=6ja3^4|&zS&+kq%b3kcA#_a@z#92gN@Dur2_{W-@!{UW%)lVgt8`$ zUG-&zkIx;!g@}2SciGXF`>NIxUbxr1I^te)^i9zvvQp_Y>Rxm592C}vr7xuMShi5N z9zP9(C;LWH-t*JK>!w)9R85!@r5Tf|Es%?5mMw%xZ{X`|IlZ)7jsiwp;gL)35F^I@ zW$;-xKjtfy+%S36b4OJ1xcG=B%2tCscFI7na2R1EP`WURgt|2U!)3#Uqutv*ckb_!oLZfz(NkS0%}#DZ>|L=YLZe@ zCN(Cqc_Q2Z@w$MRDDhVjrggHM3%^_1`~V|3!=|uB;t!{Qz^sa*>mZ$lpr9XVZQojbc82AUBJq{U-Xlh-gjL z6KhWK-E(HO+?=xCLbp{w$WguwcLIAb9}tcc(-DzG3V>X5`NQBZmplszgjHQ;BE4lI z4C?N(5oME&;}%g-LM;8ZWECd#kN_IlUAqwSiaLMyHH!5DC1Kdjl>>}>5aBEiFH|z^ zs6`tgJco!elY1(77FBp?!S!8!?=nHbZ9~Ck4=HOm#ACz3X4keJpWBJxrg0A{NXx`@ z--5TsaZ^8l`h^;iNS&*DYPcggV3nz;t*emii2ig_IjO)cx^2Ym7m}xc0ZTxrdUPG! zAL^j}c*=*V-s-q@UKXYd$cO&oCu+XO6NCKUUD-l<6I8A7M$xQN(kw`Gx;k4SYJRCQ zY83~ODC--i9i~duZ9K0K#81WyrX$)up`mSc<^kGH3T9<0YU?UoJECpfRGv`a)*)@{ zI!I32yVtGrydn7rLWI1xTx;Om5Ms(>74q&Tk5BcDkg6#}z;9FLt^ztjz)RJZRca02 zRPgzZm~J{E&666^ROjT9=Ej)=PMLz*stT!&NK!Y2wc;;u1y~)@pss^34bEf+F~Q_I=^`RNhin$k=RB1FX-wQenv!W#WL32SBQDC3K`TX4 zFa^^XL)OUnhz!j_AoAIQX`IE)wIdXEOu<>hT-pT65Ym^Nu}I-`7B%C9tG@_Ia1~CF zr#a|6kRis4K%mer^5Qg(p}a{}Dx#pC5g`s0=zhvjGa*}At%2YmFGU2axS*9WA>ez9 zPRPoi?_{ccsJgT#tE~9{s}QleViK%)U!k1&Xd5cfuw(N`(6QN70QCodgqE#b1I|m( z!G%n*GksaWL1;`CpT0;g&((i%l{C{Wxs!K86U7=mCPR!&slUe$mJQ){r=JrO5mN)BAXf0*j=nNa>f}{riXSID~Z-3 z4hSgzZ6Glq!P!Lm6^aC!faXlxCS@$5JRh}W$PabPAw3AsM*yZXe-W6`tFtQN9d2GJ^48sm97PgfgQ#ucILrscK2F+NVu?n7B)u$R+8 zx;PC8u#VhY*y5ypa@}Q!wg*w>Vye>hIandBOePUq=HehaRN+ItrSPJgV!BAci+qda zORk+4)RwZ2RGp72eJu1zM;V&>w8|!DvMtM_zRxCgLyK^Rj)NhbV={`tjBlby*E7sS@f<>SakcY%CFf8T44&gTOr5R@?A&X zPTXBcm-)OlJ5KKDGNgLC^ta*Zq8n(0P}@(4Fuce2iSckFq({*av%TIa`4J^;jLTP4rrAq#trT zX;Fmggx-f$tHH?}CMvZ889ymPw``5WpXaP~cYpsLd4Goyh`@Ph2gZ8p@qVgt+%I*D zcrCztv8(re{=kGjM8cKZHQoFwun9+z?J76cQwJXp09_9(5UP zZG$bycpn7;Ck_W}pYguql`i8w7g{l`R%SCxmP^$RA6yo?#2Gr11b$Z- z(QB!vC!p}ZR~<*oU8Xl~oj%N86`Fc0n0MsXsm@jGvSFCFlBSYxcI(v5Zc!VXoo=An z5QM^+7@Qxuhc(WCgM8FtW8*AnbX;@Q3bz`kMICZCa|xYqJP#6PxI#FCXg0ky5mApG zlO$&Bvq`90ME)~YhYLsSk1jtA592%%i!1u)pC);&yYZDkaX&CB3EPWO|HNTrLlJ_fT%S9Pl56A_#N^5pP+-KnFzTee4n*Rx zfk<(O3g1+q{`oG^wh(JS9uaFl{`XN5|E$s{NIax5KKXpes4mMBnU%nTDgkFZjg`43 z>cvXN2fdf4ug%fBLJoz7i!A^$;Eni z3>J9HLK#`yq$68GjN4{JH>bl+gzdFD&9{AaIGMw$7Kc|p!g~k!|4Oy#j5x)BF))o* zfEKB%69}akQHyF(N9c$No0Sw4?RG-G$c2-cZMFZE5R%|KU}Z!!zFF- zL)}0l{4jj3y=T^?5xwoXQ6VoXPRbNl4Q-qV*u&Y>iqy@^!*7G4<6zz)FW52boL4fB zyhbLFu(Sf(4g$(JhzxBaXuCvVgE(T>$m;_Zm#C|icpBCiiqu0DWQty^Lth9@p{T1z z4jz2orb9N$hlm6`(5`sLTlTv;c^R;(4_haIRk+Yo%A!|Kg{>GsTS~bVk4BHL;q?<) z=%3Ok<(5vkDR%i_AFp=PX`{kww@9zA)AYK)l^Npu(*^T}Bb6ily-`z!U?HlkG&u1= ze24G*t!V9mf1o&JFJc*5f%Z-9{d)>EL0xK4&z+mAhg2H7Q{<7LW^JMSH4!LYeaWly`zNLZfIQw3RTG zZHUsY?BMrEgS-pjYY6XON)hhu4B8O6k123daTRfcU!w#ubW4cYiM*YyZ zTQszx&e7EZ?nsV9RY|Hg9|B=GX?UPWiL$B!zbkt*m zGtorqCjJ)+lv|!C;-WLZ;6)tjI`~MagSI0MPwts@#TDz;jj~e^M+6*eOiWa&b>cy- z%Xq*R;$ds00Zz8`j}}HiuDv;bHfo>P_0)R**fCCya)kN z+oLc7e`UXYNVleOu8LwbU`l3{a~P3%M(qin#Q~>fhzn$o=OSS)2c#$lw(D?O2#l(gec6*C7jyDWJ_Wz#Gwfk1;t@09AufIs^ISbvzgB&jclc&=L*@3a^MF zL*;~9@AY%+;2$3{nWX++;0x3M`dH`b0HXn*;uQx1`1DW^^gLK!S2GsXK-!9 z;^b;9F`W4V6n$x|81@{0R@aPzsW<}Zh$HJTHD4i%4mq-}gTx%!d3xQteMRehK~(l+ zKJ0QZwt0Ju5ggAreaz#bcnB=-2uf#J)zgL)5Q$HgDo7eP<~PYo0?u+Hgu7b3QgYKF zc;pcF5(>rI?or?uTFqgOwkR+km6a)X6lypa(?Lf(Y@LROsk3o;*mJ?d^pNM36XI`b z8zG29_?sSWDsa}ccu0ZMsqVtb=Wp%9X?Hh>O_@|2EIVQax=HO+AlM-*&~*@I1v8mJ zOl+u54h$btBVBF8X*ZM*$yo{Ap*)kfsrAsEkULNcEZqfVsBwgg2_id|x(dQK6+-zb z1$XMAn+cZ?s(||yVx*BLclLVkk+R27jCJ;7BiV5JgH%cm3y`t_KO zXF@^JBgNMg+^!)Vb(Zcv^XLC%FswjUovez|2w$4X30nu**DGl3kcsO$`1w!=ZJ)56 z*R5N($F0r>{o1Hmg4jjN`hIwDmn@T1Y?R@Ti~6x_Hde5TIV?OlI9e$0P4PXnin+kM zShI2=mbjoA$#@lU-sPh#pNlDSD96>mxf!!ozyTIcc$}}1N&>~N$3Ii1t0FJ59#=%? zr!Ga^0}8GDWlVP+t-@`ZRjAI*U4>6R`v_4$qK;CEfep(Q%Pabt4%_{o`Q4P%EDb+in1VEab}M;$IhT?dJm;mLWd zCqCe3gr^Qoa$;;?kMzl zLre!9E#n{4EMs*x?lS(j|ICPI)lFj5E2vPR(?!;xL&Yiu?;WxRT?b*-Fcan$qovTv z(%}j}MhR_obkHlgchA#pNhjX+S^av;KI|QbW4~NVuY-XghZh(gy_fZBSWE>;#trZ!r zb5KqcD-#4>uzhpHIKlaaB0UI=Hay)}QIbJ+-!V#ogo6>3S5!cC*g)cY|SAo56yjnR&z2!V)p37U<87QR^qTdkMHc>$;vN|#>aK3odI;CVuw0C4l zm5%9SoQQMaA+wqu_D@gP6CQGx;WaJ16rz7nA;9EBABhawlZ4to0%|{MWkCcKHVw@h z^3e?(LP3E0EaTXOWu7tiRV`E#xEsfXWA#RE(lsp~fF>15ra>b6C?QwfI4bi_)9Hd9 zIuc0Lg{QR3W56vbQ8!CeO`>SkQ9;5yGsb<^sK3)Nq>qoIZ90xnCNESz<|4vU@kZ{Y zlB z$54KxQp13()DS}%-X0XL+fb#Bf^{3NZQY7G#CpsSTkJ?lsyIxbo2X<%RU9_M3o}MV z*xf1)abS_`MOV{dA2Aw^WKuEeip{UO)RwG@V|CCf1CEg4HIfXY%e^J_{Y;qpmPcMz z2lTp&Lv*igNpxE-Cedl2(E+W!)Tgy)kLxP?dmMR1&^fJm| zyUSVF2uZROX$NY)T%96^`(dur=BDwYeOheiF!%w}P-}RbwjomTl4vTD%Ruy1c6hOO zQx;H}*pnrRss#^UY`&anBL%(8M4(9s^kgiCFA2s@LudbFR-E_(u+|aygE6Z)qU}VQ z94Uae1hdCyUWwzM)6NSDIes{1I4yRxIPc5_^RcyZ@YsHhxT((F-4Fi#S)>!zf;@|q zqToUWkGk`8#2R$C_<(}=sI(C$W=P)SyW;9PcweZ4whe_RmoSGpjC|Wz)}8@1^-n+M$DR3|V$@Pfa5;Z^0;*d-kPH@hEi9|3UVfrXR49^$b!g4qW1oC&g zxh7DL4UqzF;=l$OJc3!I49cS6-F;G=GN$isf*?uo(03ETAdo?UXovq74{^`FNJt**3L81~s zM{Gj}|F0>??vQQhI!MkohM8>~DAQ^c_6y#i=}1k-U}3zp%1FU&Srm9hY-Bf8S|lMu z+?Gm&V3|ZwXpx0Sm`^;G5Lu*dI&i9)NA(xEQD3RxR+WXl6fvnZh;ig*A_WO0`-^}yH~A>&P$ASsCZt2hG6nY? zG9g_DVJ0*aHX36C(uqltBU;Gd;C$zBG*|~`4wxU{8c7Ev2r@XPP#in?en6~%yaJcW zY@t@71CM2l)T!t!nQmR~Bb_(c2MP>A>MUDp!A^^Ysup4->&UkZTL$uNf+<1cx^7*7 z7fSvJhD6m&z}eXI(z7IkNg>XOk9_NJUSl_sb-|;}x^*G8 zov0!2p^g%%ArHh1u?6o-qK4dyZla5e)R4DdOpQ=NHRPzLhEy@?a_{S6XnF<|5svXV zkZ3iyiy^oc+?`TL{m$))8dhhLk0BiU#Y@#<$P3&-xdRcUhWwwE4PYXs=@v8@r$~4a z1|t*+jK`2(OPz;{(Zve%l+md#sEc|g%w3**eKm(}bb5N56{`ECKGpG%ez`9WV3A!W zgJR5UpKLzf9J0spX8s1riSSju<7_zQTbIt(P=q}|hexd%^3ZZ!DsPkV7`Xii8m10v z_=^(RG0IG5j#;cXo%J*9s_D$Fp}daOJor3kPNQ0A+M@)8^O(WoP5V*&;U8)eYh&~S z8zx?p!zZ7nSYdS%`~sBpSl6b{3b~m>Podjiqk+DRCiOW=ra?m<Cm%^mx}#9fZ3TxhGnbTl%tyx3!V@m z#-viMKX#xgBqg2v5)OZ=tV5a~_82Ectt=(sS!rE`GtNuU`BW`oi6yRTiH^_!9>M{ZWwAhWz9i<$TrNWo@=0Te z(k?w#Zj^BHeEhWELKuaoIY&1P-y}%pVSg@}uu}_I_&~y3A&FX@k)s_SE)mGB{MorwszX%En-jP za%0Bd9N#(CSt;yKsbjozdzUKaRRQ6>G5jVX{NA)fP|c1ws_}$}Q0S-qC)AZ9 z{UITU9RegfHX9-QVBKXDG3XPOu6w-C1su;TFAlpNI7nd2Yw*r|$KS86I=%yq3I zQXP=GyG5w&DrssD^8}B;!fqbl2ou<{(5vcTzLl7&`jEHCil?MEVtW#M+Sjy{M2D)a z;SE)F?2I9(HxhYx1ZBU8zP2K!DM3sTSV$Qu2?d2E+c>m_1&ry17TcF>nUsC8jaQ~B zBSa+w=LvsvAQ!DVHW{cc+(^)|qKS}AvixEj5timku`&)nwlTe<+kn_<@%SVnOOfye zb}0(UfpQo-eHJOA$T1fBTLhPKv3bwyN*teFmUuWVytBxWiZ}n63`r3(ue3m%T@x|` z_UTVzEw4DyIDH#0_!K%0G}uvPG&f<_RC7x+kRr%T=se`Bw6M zB!p76&w3u-19C4Havu5KA{?p;t(I3+EP#I)6iFo)8H^{&2(oy0Pp1G0q(_rb2F8SHnYuHGP^JIf$;h8r|aN`PzP-ru$`ANGTGo%BS-NZ3%kmJAt0V}8d6`t zAH#bfGg9z+uLh{ce{mQR_!%Mk6T{)u1#rfux<{~ghv@6l7?MIQKc>J}-ThmLadE<$ zzfG7LYT2%I)*-d%I!I0}Kc}UZ7ARL7m#}S-zpwO%$`x|Nt4OPkjSeJ)a053WwAS$I z6Bo!Qi%ymx6>M5~90y#S(S$z}_AYvnSYU{PexZxQWPa4efhu%$R6%tY=_;e4tHVlX z9nzJqgXDCTW`vO%gSI0GI+R0sKucExVk;Z)s0pmZElnFz}gF&6>=G(-GHdF`d_Ln$S$saOSAf?T`>>hjDLUREHb^J*5H6i!dY6b$-B zg$8kQVJ~LRo#N`RBlJw3kx(yp5>ZGYRGzOgI0grQ!RyNRfQkvLl5W@FH70lrG~C1* zTrda_hSt($Si64VJ%P2d%3j^8RW_bvm2H=X9*DT)h(bBJOavuT&@EWJWZpzbg1vKg z1V}#6=C| zPA3o<&kD_W`g4ALhu9uAUkXxl(&~ESrz0s(--von8 zO;D6HIJ3+@GYom2SfU)2B7k5@W&_!LiJ=O;2I91!(hy^jDl}0xoX;k3q-OamBxPI% za|wRsy#TYa#6GH!dl$v{<87?12)lZtj$J`)koKH-2B}-k9k8n_cV;Q4DC|q)BK@Jt zw4%2axPG}ya22fU0}xpZyda#K(v3XJLXA2#$Sw(apunG4m@A! z6J-40U3!1Xkdq_X@wZK5$Dg08WGTmK(_RMqlQcy=fcAxhfZ8<^ko`S!{$oQ`7K4qt z>Dgb?;JKgNNhG9WF{}eX7{d|DdVZi-7|N_J!2sWii|bG0pil`?uW;EA*7SPED7VH* zEF-;d#jSyvv!S0IAU!Mf%(So0yc%-nWdU-6qy%}Etbgypm`CmR^7Tgg;r;k19AoqE z8MXh2Z+wuiAL8pD^Yu?~wf~eZe}>D!S@xfcKOe@QQTro&{r~v-QMxhP-i)>n&b9x7 zzRk7&l5hPLUq6QH1$#a9y_md2{uoa`)60U;UzRcghLf^ki zmn~@Mg8emo#B9HgKlfdEt9=`O9JSX{AM5Dy4SMpMbQ$40!}Mc{F5jXT7ub|MV9NeS zdg9x3*^YY`?Az&yt#tV({5WNAz{e^3JM_vddn13jneN^~ms|P!5Uv;OP4qecWjMpy z-^J6T_V;jwtMR|!4?K^ZWl)IakT$VgC)HRE8P$J?I|09Er*G4iEgRHbRs1AakXVv; zf*VX%0y^54cFoy8zyN&GZe*P0{uq%Exd9_hbd<9 z9{v;$eTs)Y#Y3Lr;ZE^Tr+AoCJj4q;yeS^q6c1~v!M^z9lh43sCeOgXir~q>UrM-O z;D3w|!ocUskqrEwCDbtR*Aqe*_|KrcVs~@6jg){wE1F41BJ9`Fz64 zFkKi8SwaY-;j{FK(ZH$&Mg!M#U^H;fL`H*9$P<1jUy}W1x=<1u`vF1?1uqFCy@o#h zZ@Q50oj@0#uo+z}uoAj#-gvJk>|Kou?d02=_FLQA_w5{BiA~KUH=VbjJuG@Oen^Um>>%XTWZgt3sv*92k1h@JnTJmp$wSz7+pvWWjE<09Lk`|pd#ZV~Y2SsP z(BAXKpEUlA+NZ^r41e*2JUff;k2f2chO+>^nUq<`#QSK=z8e>(FNa`==4-JN9tBHV zjGt(a>OW&u%Sf(?>_QaZF+1FfKTbko`M z*Z_SPi{k21ZIbxLynh4;>yb{aQlC<$=cm2>VJgNBaYy zOk(4Igue&BV}FqT%xXAuQLP%`P|oq=TwFn)RdEM$HOd+@PzuWI@f9{J9x2qv;Kztu z29!l!0&4GhlM*S^n)#cZmB;gxW3*-*A2E)MQ0?bOO~4F@L9hK3sFB*ZF|}zEhPqS^ z^<8499iw51i>x$xFfrhlQL4mJ0k+j@nsP#MINQh3pEJMU;&VP+5V(x+!8r|Q=@@)C z(;mc|&YY2nNzg$F0Y1VRe+i*!{rQx9-R9Oj;#g76Kof)(>u7|$A`raflMX6EkF%jQ zjl58}W5548Q0k{?Jo7e>Y}_;gYEm$F-~MF+b*mZ;dr3UJ=8nLr?`)eiYkxulT??Ua zb`?V0T2ctDz84VsZVZIpFke8Z9}uGBG7)_Xis~YSW{r1~hPbt)5PF#8vH3Kf7BqBW zp@7ihMx)`(V+K&;g+Tn!p28(?-tpo*h1c=o15{@jIY`N0MLAHcLXXoOc~nc0v#@4m z5z3MQ<%3PmGNtM0Jvf{Z+nQ!5&xvDM%FqU9JhZ?_h$~GqlJ&b~jux0MV0zel)+{ze zj2#RrsSM|q**QUBI?Tjt%HTH4cyRWOcm)9K3j&Oo!8F6X>aZwvbFASfhu4+lz3co0^`EoT!djWO!Gv$g5-!)cq6h2FU(?X z0tvGcn+DNv`s$TzV8OHsM`-E&J!EG99cMXvU}x)Tc<7qQf;f?fV4_`l-@xPA8?U5x zS}(~0hC9P0xd7HZ2t#JEd4a=+I7XWIg3}LYqI?CnpoaugAR4p>2p;x}aohenU0Cfl zMn7f}_+#g&Np8aACX!T&xA3MGRPiu;?(PblD+0^-gawadI8E%#<8NkNuC^p`j6qNol`1Pbs^c)+jcN(MQ z*GuL%NXs}lQMN+`9Uto%I@SOkgbDN<9kU#>0{%ck~YzE zY%GBMg3TQV;Go9+>U^)ZjfI01x5L01m>Y%qY7C*nt$9V#CVCF_B}b|-Ucz~~hTv)y z^v~-V=$8&cJrn3P0RMSW_}`Hfcs|u{P1;1;@E=OLMPGN!67~G zG-B*La=i~QMaK%`6zLyUo4l!Kh`DOeoG7Hup!*b5kb&+Mv}h#PUrh>Ae<8df zX%jt1%Zkk-zy_jSk6M%uyk4nJDhuVqJ;TS9INTv*3<`a>Uj-2wk@ZiLLeWRWhmtnY zb3|N!905)lSPAl#3g@HRT`3_w6=c^MGKDHQ`F786a>F3BnZZ$Dsn94O#PTQ<3~9vJ zZzct=kD;$6Z6b`Jh{IJ(`aG#S_^hY25j$6cCj3!|gMWf1{80$KPl6`=Q9PXVR6wI} z70(G&dI@)l_LbP13f(zAkY+uk%!_D})}yZu&k4iaL_ie!nQy=63jP;PAKC4V_bRCI zCZNPLHlo^UD{I9IdIe4AszIplsQ=W)6qKpHu_OZJ(axcKFliJ1g4r(+)om;cxLDY< z1FE8O3Mu8SDs0`zF>Tz!CK8p$*L#K#!$Zg>sEw47q%4?fYHltxUxochQn31Ly_~d( zo@3@V7c-l8%*+Jyx}KrvHV;LcQ=S)aid+g%M#-&In1YgHqEU}xtCYYiO=sBXUbrE&Dz|3wcc)Jf#?a+k=G4uC5!_2iFW^QL(P|4lY zm>59>7oSNANFNuUOxnc7!^PGe#xZjYo;q{_N5!SGy6IeD_eiF4d|Yfz)p!JS2p1!W z;NnL~0qNu7-;*}cb6niwu8VEJ1$iD&=+z+h~UV;kUA8JuTR=U&vBG;akPDhu?sAmLu9E=vk0o&U92>6@BrjAVO4br z?dut;QXZ`(x70Lbq5u}*zTm@_E**OlQz+Fj9mj0IMQGj&Ko;- z2z{34bQ#=i3O&QlHP9}K5u{A8HYm0%*XuKaiLs<$^f8f5+CJ*cVxI$eBtCQXeZXPufHTEB|v%3+?+OP*;!( zXB#CU=E0GQOik>`<;=&&Dv}8_?f0N2v0^U*Szm*bDVzR zVpb^^Cz}`Kg7|IpDFV4B;ib;enecsQrx|ewPoVhnb!S51lAsA67i*IW5mI-?u96o| zch-^H<)^x|5^2sMbs8&;?K?>k8TO6)+oTJ|UvnSlCIX7JcJ*nA?Yh^J{$`J-zd?lw z<39L5p(>)v+E zGHDZS;~}x^u$Y2jYQ`Q533$|ap?CHS2TKOotOJu1cNze{#)AL$q_FeB|J&R|0*NfC ze6W(0nG;kO)u8h1l+j3`@4xLCY*)dF1!_$0J4Hn-xbGl{byC5{I|uS#C2hi|@sA2T zb(`<67Q{^&X1@Zr%K87TXZTn%D5#vY%fa3ijA*$350Zk@C;NX%+C&&52{v}E{sQwS_y!Ue5k`Z0~MkUxAZy9pg0Rg-4@4tY>-#`7MJ|tDJ%~*AN=bN@E-*fJzlk#@Q6q zd62kMB89p;HWf=cJmovbla;gypYdb_s=K`*EsfcUUfDBLEhEXG#TGOd0gIYV$Vm!9 ze-oNY+C&%&33d>F6B27SK@k~ZN}`X>dxy3O_0>~ECJay(Z0O1+Z0t{Tj9_nhn@1}mB+Fbjj~Py+kE z-NH%&7Upw7u@Dn9;nT)6TrjDKv*?h8YCY9V#jNHOnQ=?c2x9SIG0>;7HZ@A1jh)lL zNYW<4&`*Fsp9aKPAVCxUD5g1%C8dG6Y@1iGpX(X+=MAz6KFE_b;h<(xl=++A!%3Uy zIlQCUnT4tQLeGG{XfTk!II!Y0v7S#Q1)C4~mn3Z>4EY3$#b0m28l0dBe-wX})Iv(5 zK*S7Z9%?0hwG_S*3$$%zG5Vt}5gE-*Yu!Jnv+ln?DM|QL^L3O7l@^ zq2rY^7Ru&PUZ~pL3ZMK!ub}CyLGB2%o12QzSNn5~s#JBRaUk~ZP5n@|#&p$J?v4l>p=>ACbTwOdexHT0bSk;_91n>Z%@EWmR5J}}p&DiOh~*rY{OftP zy&Nj=@5)*k>KT64l7fW>g#1uqKq5khf8_yT^@ss^o8Rn%8e#M1&e1l&O(bAbiLvpV zd#p0K#E^ZRQn--@uta5Q2_gyx4)hEI*AKe2w9&se2r|9!Ac9cWv8{cb!+m#BxF_8n zo^z~jO;9AIw+N`h%5DwV?Vf=hNj)$Kgj0HSPmxA?sO#W9-Z|WJNt^Ju3sa!3+uOwu zBM3p3C#on2h{ZwpA=MOlp_C@-?5{+XoRu~5ik=~BNFZwy;`n$x9En6)5%NsIc-Vc3 z$D=M6-Tv}ZNuln`Qx}pp(R0L&Fyat{iNz#>90_}SCXrwf4we#mN01s4wkISxQ_%O0 zo}q6tVlR5N~%quxDDi?*6uu_gHghb75^FNbfz(?Y5CT*hUNW7krh|tWy?nDca zl8aQ;ZRziNhO_Gh&bFiiyAyFp$~1yOgixgMf%%)H@byvjv7}A(97Ri{dDFPRW{#^| z@ZWoelBJ&A5=9BoYX}D#JNyrm0?^07_mege#z6vgg0GPfB1(cL{82ogC(=@NkW`lG z-{Y4M4LT02tMuwfwP-L(B}fjlQz+F=&#<_;D`nicuue*l4{B^9A4&=~AM*bzX%k_{C)h;%eMsoi6ExwE z;`fuPC#7wK%OG4l+sMrF`TR$hsEsD6HIh7_Gm`wDq_p9a*S~QS3AB$%B}Y!R6RA%D zofz`pAa_J4&gX`S?#Po7xH>lu(zz~@5-CtHz&~ls(W%0&!_YdEF|SVAgukj*a}!;c z@29bx?CKd>Vl5|gbegTZlLFCS1kX#_MB8{stgBymtWs={Pns&+jr9xx{ev~HM^CJn zqqBWvlS0i0{Aq6DB66R8a2_ad$HVc2PxlO-i=a{Rx(otT$5UR`IY^&O+JsNbFA`X3 zrCv`=%d3uC*?hV12y)W0Ykbs;=xsei!)nA~yPdP|d&sE>6s}_~Z%GPGpT^%LpxH`t z>Ap|xm50k#>R7%~mzr;tb9}UCAYML*;G7h45Z9%0JK%f3;MGz5hdT%GpC)a>r}z&E z9JQkOq_R#bD(8sWjxy6yih|w?W3W*mySa*{@AeE$WR?i!ffUAX7?sY_X+A}f@H8rv z=P5*RsL{54J1GMEMe@z0P4pax3-3L4c+?;_b;WG7>XBXvru~C<4M{?{q^7c8XdMui zV;mhyp-YoC5r%z&A$(&iHtWg}er0ht))iV?=Ls=TpE$>Rjpkjou zpb-gvBPj^|)$!(}O@y(KU{CS4C9y^mG~tgzY)c86@JAue$qAb9M=_0}C^3s}WeNU9 z&&W}42?ilX>rj0)DGm8#_$6-QA~I=YBq_lwh&-6|x}W}PuS8GENFw`AX|+IFjyoUY z=}-jiOWK4_-?O-ht}8;9?y``3{74n4zp)jmXS9)?A!6BJ2HoNq?RFcGMzs9)wxj^` z34JJO6FtYl(BblUg+2PL43u|NDHX-QYe-1to?{KjiB!)ZXaGFgGwiH|qJsy7v`91{ zDxO*_mTFOJLU5<-)9FwTCk48Xw?j#r2;(im_TukQf=wo9!XL#nJ5j-H?ie-uAR zYR#unG%^imS-p}?BXxEfVLY6!o05Gm#?6C^Igj_jMK&dybLB1iEq}woSx+_XpMxs`lF-b0dDDKM_&6IMzaT!& z!N)$7;ll%c_&6j!&c(+=;^RDgoDd)9;Wka-g#@(C@6Ox(>p6Z()3;@Kl1e6>wcl(d=6iR z@Gfj#Jl895$Z@~ZTyF||r@0=-cYd63ao+s`T-ZPFJ&Cgcp8UhWcWUY1#KSc4Yq3z# z2%f`xce!6^I2rc~HUAp%h2ZmU@sZ&38S#tsWBat5UfH#KZNAB*B z`-Qsu3Gs!X^~>TTLFHe^$zic2KS)+$PYb+FGF~SvNI7F z-VpdsVE8NdVQS>N-c14hRiIPxGAI-e?;*OSwg?<`@r7XUbK)bxK(1L-q7AHB`$4Q{ zTBkqtc+TE65 zkij)brJZXM?O-4^`(fFs`}U?L#*U7h{;ZeYl77O|&XxX8Ld!=t0Q?3GdB|BLl8wsY zidGg;3O+YyoM@(j>0^3G7j0Q-Sv!E37Bjh1;Cb(*>HvR8mk-e8k8rVS&XruRAYHGd zt5&8_DCUT6_}N$DFV%8<6~E+vqqqHU)QtD7;Vhv#2560kQER@k=`45476gBlEj#_W zN(m-}oLM)iUuRa9|17GaWNW%MS;|zPS6hKWIP;E)Z?A328p>4GVANS$D`cRW9^aWk zu27U!aKG=eij{NtJ{Pt-gl~>Ii*i=Bh_E72ej)$*Q7(@#>MSeNj#|NcQ_jLPa?clY zDD}`h)pVAmP2`5(?f=rqIP)tR8;Q9Iy!me(yrSVO%;sU7uuzqn$3I_wb?@76xl7O> z9=10xrO)=Q{HNi}$xckrOLn6MtgObY?6df!&eMJrKaJXt(bZYVb2?l-Jb`&FrEJ|4 z?#7W^H3EVA%g*XJzT1z}OWuU-7vbxa{bF2CHSH()4{|J=L%;51<^mzsc^VT<&i(^n zn8rtYCSDtaHNU@SN!84rY>El(i zTm#tQgM>)B^OH@+m;D?J-I*`Kq>4>v?g576)6LA&O%wyE4ZZ?<~@2 zn6)!Cn&9pG@H!_)*@REdog%*mmj%?8K;u-g(4oSRZtTofE43Qcj%O=AC?5?L_PY&^ z;SMK^FznVmfL4h?*emhLxv>T8*rNc8!s3^HFXz7W zPJD7U1hiT}@%@247hTq18mk$ZNn@mbzHZblvqWt)$YmJyalD1it645-2o4{>TCo2Y zF9>|2H6<4ozR^07iv{1*Wq}{mb$}mKBE=6X@!i_HY&5S-IVK`9K-8UjtVta_RFw9No==%&HVlSwp zuep1H3%R?{%YF692@J8Xgh)fkCY5Rd1tH90TKRe2Sivgh;H0z+O~{e2z(*bk*NtjA zw|TsKXOMRvV%|-@9n8D2LC~(~^i5)8!5;v1Q`4D;MUL|?gxO7-Hf$Z)ux;yh{JMlT zCrlg+V61Q+o1a-dSvcDSxT*yln&;AUeW2Y2U>6<&s zBVv^HTKdr);%*+IeH;D8<7<$xhjJI7AsslKd1j-YuT&u?4hekCJHik9h+i~TfIN~$ z&^@Feh?8^gHHjciXK@LYzKWKAX9)m@{sYhUt6%4wunKr_39S-rtlpat-|oVQC8BrY zBl?;B0G_q?@E3cZ__JT!nseNo#Jz+3P5biPqlH?&<@*bFRZ1nZW|rxRxK?&oFw|C~ zn0M418?%b>P0ZV6R;v)ITg;^I!OBEFzJ-OyV2!BN3*Zbb8dY*34hvw^gWobG~x#_Zx4w~G+S*8 zl=}S9qE(G=WcFUa0cZC95j-6tGMt#=n^<_8I~&bN_*OkzT@_lX?T;JY?uhGeS;Ki9Y!gKZO$@kXtv2TVj_g(7S z-AjNu`;*lBEL?!NI6Ns{7aJx3o7*v$EIC-}Lr#KR|$gE7KHpI2V>Q3jS zeMpOignp2^sbT?1`8bW04J;o@m}R1N3!kc{l_Nk3?#>K3V#|i@BS7JnZp#sVyJ6z! zYXpd69(|EQ!vgy34$bbTZ(*TfG5r`48kW*;uFx<&`3yzr$C>kBVAFNx9BmM146)VY z%phWR-9@|eh!{*AYzT&>;}R1N_~t;ExZuBTzEe*VD$ge#7?l8@H_IBH4v&aTPo=hOoMcDrOdlSLM#on74I|6%erOzSky^Zg8AA8fUzjsm35%kSv^o4il zRrr-9SNl`+i9{j$|Ime4uYEsSvT5Pklk|xw!2U)0#En5_TFUB89P!iHN&}h-dkG$K zt_`bbtT7X+Lsyj`q+y{bVM!7gScZb$^h|mT;!g#d82fIhykHMRqpxkErzNFAIqmjV zgY^*RBOK(-5*ZgyK}J0X*K{lAc^{0j{YQ*vMQA+7aME?{K29He59%zDI?pu#n)X|+^Thda3=lSjJpMpRZNI#^tR?+sv_udLbVG5$q&s@9RzH|4 zRACE);s>JsvY_e=%4JMP*b7d>07m*Y`zu5Q%Y%=-5K3-R8xGz3H-A5mhD=ID)BYkf zjBGcv|7t!gzq9f;zz{PBM|sGN!frvZI?4m<%T%Bh#H-(?*8BFJpQ!pb=aLrPlK18d zKVs_7eYa?hfk4EYqfpa$x9pn;lCOt_u72Kq;84ZPxesKVd2}!-SDFWBkzKc#u8fTl z(x8Lwx5_!VUbuIc(%0Y<^8w;Hl?hS_iLPfKD0}Ui&LZJ*EK1zqk^jKF#CUm7c0WdD z&pt~OPnY?)pwjyS`m@MhD8BX6pOxf;9K3x+_;&nV=&4Axn1)Hc0>wUt+sM$Fkq(vi zZvd%cX}*&_@zQ)hed4A0=k$q}=Evz1ElvA#_|!PntP>@CjTS811+E{H#PKcsG<0wF z&IR#gV1LI4$3NpE0QCR+zx*pc+W+o<{}Fu;0Wkmi7SL0{11#B#07i7M41Y{}x%d)l z?INPXUd5I%euKcuWN;PnR#z!rt51@xV5vAJg7c{gY;m&X*UrF%>uKL{l+44} zfQ9%9khaGJ=fdY7W_AqFz5^477XS{OkmltBHsRV?!YWk*+R(obXT{sF0o@uVu@{31 zkL-o}M-Y>Sd3w4t!_$!s8>|L1q`GUEj^x=%Y5DJDUDEf zdt4X{+4tb1v!HC9!#N>)rfDCbksQNC2drVwkl-0{TN;76qZd$XA&AcDijI-c_KtsTlw-m0V|igzGr-hgqH8a+J$dwL3j0Sk%Fv za5)qmKD%;{0%%mw81 zOXE_3|H5-|oN3y%aIxU88|L)zx39qLl%-MjmIiB?K23sTcn{$_Z7z+4uz=FZU$FU* zSlz}patoVPYh+f{Y$2#|VR(DUP-mDLc2|n0m5edF`s-pieqHDW)fz98-j)Hd>DR?2 z3jBSSBJg#CnjZM}o#91s-dhx`Q23E0;<#DFavd0C__ zoGspU1Bx-l7Cxcc!nOX;Jixq;gvg@P`fkfJz%ts>`2b9xTFK!y-SmXN&d&h8eO>hZ zBFv~&-`?TZf5{ukbcf&B{^9rdiQ~8F8O3FS?35s16HAcVyO%gYzNOa$X}=sj2!X=l zpdQkuUaQrnRx1<=<1BKOsX~o4WWU}Gs~CmC>aF-<@)7r4Xc$VHG}bk#$?4|3_!7MN zvTWeyEASioa2AXqI4fI#0~Q$qK22<= z+tw$J*=acQ;5SUUubo8#oFn9M4gYNNGberS{YabY8}EkfdjTbiMWYCnS2>G0xCGkb zkqKyw;Vr*cxxEx_?pbSs>MXhs+@n0O%6~wF<&D(Nayti<$M$U4Zf@JOW&7sr){SFZ z;d8z}XebKB<4+qQ4WZrosQ z+LqaR`|V@dZQ0zGZMWw(ZZ+?4n>{3(r9cq?C08)v*k0P`-aagE6NSCXS-`#na-O5g zt;G}{Sg(7~Y7nHqPW<8-y8IJe{(&yvqRXf0@)f##4wqNKi#k{2NW-T63H;zJ*@GbJ zB8+K-%bHMcI4eANc1C=<0oPF2U>8zATbe@@@NJQ>>cXfBYXQEmf}NB+&k^&8P^mO~ z`;ocQxk|l3y%W*!z18Zy5<-8-tbn(!Q}1wd>A?M~)%(cL9_TXkvKSG9VPxF7vqpUx zQG{e%;}Jz~d4pX*f#`1d0EcH`;W-Nsn$F&LWF5f|`S&=_-3=QZ#2+_lJWL|bJn{3z zqOmiFXvP{AQePg>YdSX|r4cIP!huAlmrtFukgO$T%I6xQy;VEi96t!L+Bt#9Ig`TA zR-6X{S0h86%*12jMfawBbM;PR6sjxf7)Ys8$v`Y$U4vK2|9~>YKveSXy1kyrSC9|C zP=l$Ya>h7NBbP(3*K_#_D*hE}DT;JY;V-tlrhJoJEnzqXK*bn2aiRD@KCuLD|5ZdA z77(N1J+^cZ2K&IT^4aTPj_25``zK(=X;h89<+FuqrCb6+Wd|r6DV|9+CQ?vkR8v;q znTF*M>d3`|4W}H^2*}z?0YDFFR{>uWh}fYTm`c2zn8Q_rz!Kd@c}h4PR1p@)Xm{s4 z;J%IujiUf)j*9ugC!tU)8Mhb|LFPik@LJjg@GDQIC`_p4HhG)dBx(nqAlVkD*>Qt& z^uqk+>NEjs=rkoDZu8pSjJk~S6_G&KKf|Uf;uQ(swQe`4ZnqzV*vKN1g(!LlS3@{z znFuMIH107cWG6#jCtFfPx!wz00unwK^n7X@&&wXJb$hs7G|8cH``D2~HhHbrrI)b4-Irun*MJMam7#Fn*hzII;o2s1X1dK@GYD3| zPozvhA!oVyD?Ly=*K1-Iuu`cYn3JLvk6JaXA4(=Bfcjj&p$tlQ<1vN;XiGlUu>hx^O}XJwg#UI*~yYYUZ7aq{G)twDMfFRKMOL9 zmtiFrO)ndS*FQk-{VboJ%dnOY%^PHpy5t$mh9g>0vekH?Zg9A11jwyQyo;tC<$2yN_L3uf+aQFi3aK?y5I=ZH*}vO_Uo4TVg{_F z7L!j!(`<A8A;Z99IjtIAzrT68KmH|Iw z$n>b^*Rl-jvjkBB*@V&vQJ!p0A?v_c$^E<>k}CWM(-3hfoRoqOA#LaH&i`2c&iwQ8 zcfHD43b^niwaIebgnL?Q4urB5*cHj^>L#C@K_;IcwoXgE6qM3AjCVU!(~D~M)nZth&bge zqfcO!NSlF7#i%O`Z@A^|Z?$4$JU!MZXVKY0axzaNiHX^?cTr<2>0n8MVH&kTIEog5 zk{6sS&sD0qS{kf14Y{U)bLYW7M@EK522p)=Sp~*EKn*O#k7)#~(uPVEjqOoxmH<*1 zn?%2lJ~}DDgJxIcC>2E-5UZR^%OLR!&hp@|HR$=Q@S{0I+=AI&a8`;(a}@+LQN|T? zV*%Pr8xuIHSU5A(^ENPZ!C59hra1x@ILLp_aWM?6WY1(O=ke=Q-Z<5CR_6=j`6B)& z`trej!C6!&p9P!85s9(LuBV{Fa>k>>l}v}_3}~=wNkW7t)@VjggG;lGTD?+A3!M=k zLi!;HhZa6`u~iob2zIRfVLtOXL&+*ol2Wb>7M{`qC8j-^?F!R{1|=u>)J_3Ba)F+_OFpp?-b6l0mcUYt`&} zL|THvDC|LgB#TJ!W13UhtRJx(6O$l?G&k3@A4A9aQTxUCbMOZHrT8;tKTTKXYQO8M zS*Tf9iD|1^#o1!Y{%L+ADCFr-3>+AV-s>XT{8c2PwuwdPtxjI#`mX<+EpW`4i3Tuy_|)9E6>fV0-G zQE!+E&yT_2-gz_KStaj?Q@Wc>#r_Stw_4rbLE!j|L2MF&(${vv4zDuUI)U)@zX$;yM^9l}Nqd_k;QzJHBuO2~24F;We|Jr52Z tpav{u_}qbWTR84x*?}XxGXGj<5q@{ahNweq@%Gzcoq4Kx6#f+>{|`<9x61$k literal 954412 zcmeFa3z%HjRVHd%&u*#pe%X5XSh1y6TUFh9SeE5DaqDSC4=a)!JF%25 z|F!mBd+&PoIkF5H0KUjw=j^@DT5GSpUVH7eUs>{@U)*!|UG#s^y08`$DmT)8<$9rB zt(5&rqZO?=+ANgvC!9y$+S>E()~(iPv?yDvwa!Pw`D(6F_x*gK-inTn2i3Aa-l$F$ zvf+4G&y6>-wWUnJ&zQ?dLi$JjLxds+zjCyX2Ql?$!|r=%h`rsFJw!tXgFw;OPNOCm+^c_ zt?q{abDe#dsn!~WYJ~=hR{1y3t&%NeN`=a`uyqyxKN>APRcHjwsa7-=G#a(=$oTjS zKS<}Q(tLFVuc*L9Z zF4VKRMj@9id8eA7lGmtum`3kHp)s8;l|pY82zVFf8bP(+elN)G-|%xhQU(lBoy}l5RqKS% zhPIc5N~YnLYk0l}&#TQwt=YgL%cD8Q4TI`ztD{GwQ1;QTb!JDjxoxOi7O)W)1T-yc z+uoJIxvgkXb$YrLZEJg@XV_t$Xk`hD`vyokQ>dWV@>+hHpR}TlMEzp3His#hs#dRM z)bm%PWwm;>=;y$=!&azaey0jkG!*_bU7#g^g}18iPy2P6i7<`lSbFQ#G6t?0y8`B; zwQZcpctuANOTF<77$rSd25YWS-)UsAauuCu7MFqC^rRK}F$YgyhZ-0!6{f~P2(0h} z>3#dh!$QMP)v~#35EPK^tS<2BnVFJ51s1MW#?5zfclZ{%%E^)YCMcrXj5Ty83ODbw(j!f#C(H z_3j4M7*e!RFHF(8!m?{cTlAN@muz&ee$_*k`hgcb5UdN<2OENo!KPqyuszrj-2ZCu zhTy^ApTG2^Y}A{%MzikcwW#Cw8_aw8qobRM#llNI42N=|!SB~f>v8{jwiNQS9p;(*k*ZW1 zK9Nc_xYzs~H-9Nb+46&lSA%^(YkzPcI2b$<9DX%;EI1N88B7Kz=7W>-!KvV>;Pjat z!CTPiOmH?h7n~2Cj+WiWGr=_+YBHs6+o5Y4RA zhA*kVyobmffqjIz04tv?%%u6zk_M?y$o$LnUw$;4gYHO8m8v=L_V8IKMCe<3({v;> zNxw`v3njQ&^Oeio>1?fluUtZ-b7*6%%q1BZw#vd>E%OEYI7d?%d~>w?cs18#Q=5C7 zzeUm-Jt|q4n!&e4%b~Ezx+b-P=F2WubC>Z`jnA!@;EQEe)->EnsG!q$fCiCe9;~%` zmA?4C*1KE5_eT#Hz8LT3J2t6$wCrZ=ww4?1n2J~JTR&Qs%d&+Ge_?4*$mjhE%q$q# zH}ZZBy8JC)#s5Xim8s+B>0RB2bspkxm`5;JpjfMw(p>A+=KEVy*=PwrYMrNFz3>b^ z3@3%i6MQuI>EJs-yPs5TV_@#~{XhEj?MDl@?=QN2`%uSi|7oW^q<5xXtu|W0NAOqK zZ)C}}Sjo#oxIS7|oJz4cZcatRnt^3(l7)GnrG6x9E(TXR3Gg?kCrb$)@ z4@O(9&41;|o44Q@@PCwd5WL)gsk9W5t_g;x*@LKw7Qqr}o&Sawi{(GUAJJNEi8-be ztU*|)uz;u`$?iX)hRcYDNGL#;9B)?1tdilCOEuQw)d8)-|(^2`z=c9z;skz70(+l>1fkUn%7(DoAU0~O^A_O zdSGwHhbwTSp$+Qk=1VWlWg2h|LeQ2?{rPB_Zo{blM(~>&P8yb{U!IJ>JAuIV90gvoW1IoPyz@ z;19-vx@xinOACXaIb*q*n`VGE<1%%n^#|wWGxTXNx?FM8zFqn;4n3f z3_M1}Su|^|s)22?^*Jm-3b#O7)F4*)+bb)Gjv=hXCUfijd6GX(cV{4V)l0H%8JhLlc7nZx zzhH5b0zPv$zYN|NykE6qouOk7B#eabVN*1MjQ=92CwfT3xPsrP!G$QpjZ&C_45rwF z{`?Ah1UKHVgQ;}aVYuA&43I{|QAP_v%*KmNEI~u!bEzKnP}n>@Z7N82Vb?ZCC3ugT)wR5vf7op#;E#Y6+nW zS@h8e+prWHQa0PAUdECCWW6g|OwUPlN5kAgnassH#4P_qZ`Rp2PGr%% z)*U&F7hE!rS8y*KehYS)=L$ffKr8r?d85p4zyoVM@arw7leWxFur3%iy;k#g5D~02 z3eyF2iJ&;jipaM1xQ}Ki^eB%symjBW z3z}JZ$Xb=wqz=LGi{R^mR}4sss1odJYp3TBibAi3MQU7y1wDozt@&3`6VF08%6_Z( zAaHY`fKbUm5MTkzlG(t}!PZsJGqZ&}tvKCF;l$bm3!b!5p;DrllmT3|pr{lJu-2>Q z%^DsVK69>KQ08?zsnvV!FgFnq?U;(S+<&%SAa{rKD!ig$1aAv3!N*42TRy}-GKt$>PQrZYh;wQ4$oT2S{_72*_HHWPn)}wZ_0nXJNSC_$9sbJ zsz2aos{RTHh|YSp4TxwX4-5;ok!jZQ(4Vj-*plPVDmO9&KTRRh4)aotraHl}02Qhf zwrA;UUaP>J66!Po1q#x>>H<2I#$2F{eK@ifV5 zr9wl`^}PFnA~P9fg9!xcOUym$1;L?TazukMS2)n;z_OLl&(?DkKXu2Z^&pm_)~E^^ z8nELx_Q6M&Kfd)z;YNDwaJ25L6q-3pbvY{yQJIXaM61{`1 zzqR{SAyoQ~;>-^?ugPs>M?uB_Ml^-dy-uULUxw__E$F5D0cuA|pfN{VI^1`c)0du+ zXN5)7WFsBh5n0+hA&I&p+U_)kkcHC#Qx$tG6ys4XHaIOzx-N9G4s| z;b?8Xa6N5|M-PS!0&7l76%=7Ry7k=4!*|^!7PSXKk*)a`{h1RtYNPM~u9L33{LTk&-WuKW^7B`&Ub%90d}gn=`^uFEckSNuxHmrT zJ-Ev&`|wXZ2nBBzy3zMw2p~$I*Mkk;8Xg`W8yoh>z#-A zNuw1td=j>Kw(Q-cXScit?NBwi0c}EoRY5pvYT7BVZ^^*ku}hacA(&U4_9_?$5LTsu z>a1`My_?6MK6iUG~angt%aiu;Jyf zJ>z>%Xmry2lMoz*E9QfkL`~Hu%do=z@W^VNo@3gU3fFxPkn(gDroB;3MfnKLB1TX! z3IutDI`^RlJbwDcreB}Cq#0_mR5C-Q!8<3g#WG3+^PYGU_Xao6;uzht=W!nAmdh|| zz(S?s*NFm;^K6fM$6zu}VWR*X;a4!Z#Gamt-g|`*V8EF5^J(wdLaF3U`CbiC2XGAW z5Puq*p$%^qbkHq_ff=M+v&3yG-b_6^#jSZ>vXwmWW|sA81s@WcCY@jLK&oeDcY{6! zF_`xX6;A~(oN44(;xPcKrV`j3BVkl&>}Bv3^cPqTQH#Am1WU=kQNx^KM>O>JdL(OT z1l8&+2@9HV%Uwy&b=PVkmJ?dagreXNEqNc zny|%RQ}aZ>c_}_V%rgcO9@ly(HZtJ38V9Ozj)bKS1v{or(h|nzr9EpAg2b>7siej_$ zIUb%?f=q-^f;e4K0-vk+vk*Ki@^-&-bhr0#&)LM|-FrsUV|#Y*;b9?5Fr!*HE-+r3 zSfvT=WR*Q#qbsaIdB_FDh(t_ci|4P}*;AOGtTr(dn#b(RnQFtC0A|3pmzLnpJM~2( z-l=Ls@uKrhVu?}PL>3XvF_u9(B*SEM_m#@-Juao0$1nL_C@#)$HY$ zJr{8GQ-kUbO1;|AS7WBh^B$#7+0m(O8%pU~GYm$Z?(J;}8YR;d1wwDvF85=daM1Y9 zB&pFEo#*#oZ6CUeZKyB(UswNb6qH<5&Am1%Y1;ageE4jk5it5RDXw(baIZDQzoIUCyjvlvb^+w{bd?zr0FXU^pJp^Vy_jL5g!ADj|KQdG+CG#Vaz%Q~YhC+q! zQ^40}NW2jgBrvnrtA)IW06;ZWZ&p}LvigN`B?r&I>3kT;UYe(NUa9PCTh>l1fam;5 zhtS^s=)_(xwNG(>n?>NXgfW0%hLwntYJCW0yV&BIGWwooLJsS1WiN-Q$>a*g_ z0`l6s2VTYjqfJ&GVjFu!w8_YOjO<1Ld2H5GrdjcODTd&D3$i7E zGlOs?eM?8g*gra$A#WWIwPT2AA#d#{KR9|^lFM@WO1c=5mvOzGuK11dO07Ju+dg?< z+z%fa$2_IVSl z8a+>qu1X^_5Ht;Cujx6EzWd3Svd@Fx3VvG;E_)-I12Ff0N71r1@|-qdI4G!Jtdti` ziZ;!w*6ZXUtrMLQrb9dTnO8O#pe%Zd5vm~1W@*Dw2HBaZ!Y#Y^1usO_X(a3 zUgB_K@Vmk9skq{>+GOL*xby1K8ubY2m|z)>PXJmDLT*)W$n#f!aV7*3#hT>`2*Pdj zt{t_xf%pbF>iqm()uT~GUf*>eSz&NL5g>se!HjW>4XQ;~Y{VVb32fa{p1R{lCxkMmTAxaxo^ixVL3+f@FDLKrUwSpG$gia;bD&j zf`tuy6<$a=c_Aqt+k422;9UXQI-%+LvtXXe-c#6JzjpOzlMLY;ZHD@xRm@KFo6QQM zI>;KJWno)91osqVobfp1#TFD43c`ivn^zEOYE-Z24RJ(`XDIr5^9t6xKTDevu)A+w z!5Sc&E2Nn6t(#g+gtzR6t{{VuHpr3UbJL7XR6!=2$j>K;$M?3sg;1ctnR#eOe8@Wi zJM;F5*$UMRZc;PoMAS^Mm1lUZde2!HS^|=o;B8_&Lsd4C)iy3|?+y z9q8jSMYD(_Ih4mE>xH0Rax$GP1kF`&WOz;~x~F?UT(duvF&DN56BQay+29Y%2 z?oK1lfP@x6-cO;9rDCC4Wk;gmyy<+eeO~wBk|Syv_*vds5b)NzO(^+j;>?n+PRKSzXqFTx54XjBNx!iKiSBvl1K79acH3;bI@~pts)YEi z%GW&gWc}xOpF=es0x#=uDrPwNO-Y=j9JW@p!e&u=M3i0GGk0VEUv(X!u2y(x;cy>4 zEoZMGRH>v9?Z9(b3_D}0<9f>BE%_=8DY4$-FBlEG7J9ExnXXb8t}RVLCv`GxNO0O! z{J=d(iogG9*jB*Vhh#BfcC|=!GU&*;LWtCC?5`kYHEbCS*2#x@$mKQi&JlA8{7v$v zw^TLIThc_!Wv^N@-pFn!9qAy87Ox3cn zCsOa)`S1%`365|RZF%DLV#q>dcc|?}enB3NX=gF)=*kE?GIe@=dcL!YLjmn!t^thEFr{y zRgo#Y7~9>*n_WgmMTznWhbROK>mDI%WF*1bqrfO-D5{)V(g<}VOss4K&^h@GXMR9T zF-V(pwVI0DcW*OugSFhCCpsJG)c}O>7UpAf24AdR!+wsD$*ya3_deTfm2Jk`F+IO?ZHo2)@<`xplTRr-%o;lk8uK2# zfy4or;tLRu?e90+zA6_%gz&r>;$GVXIi}d}sFyP(*a*-Y7GQ^NA?!27;Mms{!Z|Ri z#3b7Em6xmS7u2>~wAvBGPhr+9vRiFivUNDYSZ(}beOh>&88FRMa>P|T)+Rd^BM&c4 z<-4yQZ-({psX}EuDBv^!wjBjjhhAn})n~2gBQI<(&wdEZYK}_qk(>q=JNVRmVGS5d zF{<6ar$ilo$UM51G)a4tXvC&sLyKs!%MKE+@ptim&;z1S@qg0K zzm%WRMkjosHs_cFW%qOgXULP;juUf80SDyBQq?kZgkR1~m)oB9JH&%DY?jIExtFkR zIESrx&QnqvhF`+iq!_}rkPiV7XUiwMPw^nLn|rD^l((Zy3zL1bnTORzzTFg8Xi6#R^2~C0VvG%rYYJB>h1VL*9lZ=r`I}lc2{c z{xlnNItf-GvqixyNqX#uGs_xNgB!49%)n2|K$yaKXr1|#>c5U(yN99JUU%q^cXpQ+ z7Q@{)@xNQG_iLIc0B8=dKL?O0Pm^av08muTlXs|-IZN3o>?z25g}D1(Oy%}Q#rz_yJ;rJT4OHBV z3^&+fsZ=6rjOh;{NOKnv&1ibRmO*47x4vd_J3c zX)^VW%vJrzMC!53)v*V4ryi%sg0pJ8d*#%NI_U+68ge&|kIG92aLF>umM4(rLQzJ1Msy{@kE#_2lf zAfW2M$$px>WH~4346>Cb&H#wmHsz{RR6`?3+S({%cS>G5=*b&rcsh4j_K`(^cmqX> zjHya5G{e;(dyu#3By1SN?L zNbIiDLhx>q;Vj(S*+r?$jZZ;y_Ul4Gh%=?Ky-5ZbAnwEKGJJCwwFPWiAc4i6dETQY zr~61I4gfL75IQBn>sfAs*4f8ZyESKp^1`q1P~j822p%noc@F@?uDN z7)?6-S@-!Yb{3}|=-gvCPC*$&7Z4gB-=98^K4>05mr%T%#u|c+;?EFeThW0q$nJmS zP-@cO|F)OL5BeAKr<;e~F?V|Wk$0R5-(Hz|xIFQe($nQL7mAHT&%NWZx4h-rNPhrad$JhpbvQ_*zgkJFz_@}9JWJ%)c2@xK1WD=bgqnV{+W<102 znsH!IBK$`j#w!59RVMmd|Y2`LwMfd^7p^uO+p%0L32$8yorIVe-xhJe&4w;IqqnBC(tMC_$ zHLC+R=<~>Oz(Q9uSduLvi&-{#bQ^Mq8ig7eCCWSKc&@{<+Sm=~&>y#xGtUxe2ID#> zLAc3%dMNy-RH!0frxwhKWhln;4&8?_N~rnL|kku-~hHX zT}&U*Em!H5IYciIT!I6q&|2q=(D_baKog6P(^v5A!o_KGubhM=X2*Wv45IvqRe6BPpkdeKsB;m|3L z^T9I}4>UHj(dRPaR-6Kgck+ILCkT4(N&qrXz&B8_Ne z1&P-_3J2URhcxZW0tN7JWB~7^)QK4ll}yeokMs#+(}m*{)LtJXHZO|V>sb{ICNT6_ zXY-Z}YkI!117@WTTW1z^eVBT7FLo01TuAOq%lH!7|hupz>y5Kjac>r)H>pmKZ`n8R;ij{@UC@8KZ zj$Va6%3ZxdJ`B-~0^W4imQGb<-w!T%?PLOXs;OZ zk+zh$bO;54crz_pp*07#k{fi4m=DT;W6*FBt*vjx+2D(>;Uq0m5>LQkeK_ zISvomAG8Al7Npo&Gg{WjVrPa9`mYXloLLrZk0z5dv{9f)GT@>DTZ5IswqOx7=TI~R z#E9=|0f?dMb_GkK!()@TRo!V!$h%yQ#JQs$y1hZwn46;8?XKrA*otZvKs(q@MmMG@ zxF2&9JOFlh1OE3A{43gAhQ?U#uc>&cSt!MguE++pu(abXXXXEls^y?TwR9YNe(2rPzazg_f0NA8pnxXf1X$(GtN{TQ232Aa>UxZhh)dFv)W>a zf}J7?_8-9!rb^1GAB2?c6I9km<|$57J7Yf`f5u2atkyI32{mKE^X&^`H0ZxlCZ3^G zRCt;2GmzTWjs?n!c}M*K#qw}^0Ox94sgS&*Meo<*qep^bjYjWR;xeRk_+?Fx{^;+# z40VSz2R@BLr(!PRpK2L#*3dgKJxz{-nZX!MEs9@AhT>X{;vdCDQ9ATNanzCW8;KFs z@kK|<3tD~NT1@^f87AvACV#7GpMV!Pou z2fr&Btm_r5#nrm!LZ$^NA?ZWTrbe+pdp&R&seirK)g^@59XTGOrNxxWx+cSPgT{21 zfqJk_M3_n+i>Z~(B7w#53VtZ~-${UyK-UxsGzawWL>=fu!ZI;W7VqW>W=Meo%V{r85VNfz&erzuU8jwTSxA2+oi$qITF+1Asj zgKPLBUSo^QCle!cpGM~A4KfQa2S`}D~rqL663N}o^!A*8i-W`d6eKM{QV%pwAtTotkVW4J00i>q?ri1#ejh(pY4M%6#S^y`48_cRx9 z78#hRk7bV$q+LO+_e+b<;l%jdukm@rz_u_x(kB)^TPcjI z84htY1n0HE@7PQO+gR+LPK=$Wu{)apJL%IOJJ;#jY?KM_OnRM)ujHRv2a*-k~1)Ia1Yy*??JR8Ff8{yRj-5xL+{Da8FdNhZBOsX+Vbc!%7N@DD>!%ab z^&w5yPbHwM^ofP*Hpfg872f5^3~prc`+Q>jc4_>6KLLKy$Kuz2{#|2Bbfq;BY`HFP4=#n^ZOnP6P-9%XO9^_|iCjk6%dxl1$o?AD6S-LT zOlE&Q&>li=!_2$Pr^hrpFq327B&*{YYJgo6KnE)T@ z(;pw#>U!{^Pe-W{?@moN`N}8M3pj<-_lU+}oq3}dCr|AW1miWf2)~dR;k_E+s|Mjj z_85ZTl%4He;-g%yJ=Xokg4sw6W=ezkq5*SZK9fEb(`UfCS$~?!GjkxZD=ymeoyF#Z ziLps*Y+f~xEsTxyiG|I`+aLpARq#DjX1R1cwHSO)VhqML2H%wc1L+eBgEhwjl=Y?g zIOijcA1N+cKzF~ecu;D1e6>RIctYdxu>^QXAB%_8^MmY4;YYjF`u7vNQkG{t*|No6 zn%3^y3Gw3UynjF8WnmM`%l-Sf-xB-Bntrxlv|H@zgDJ`mGWKc;r#Di_HY9U3H3M_i8r6Hm zsD_Q(*5?S<^wga^)v4X2ULq#7Hb>)_)c1)={fM%mkD*XFLS$S`SF`w_CYB=(C*lY) znjg^|@rdDwL<_UsXr|j233eliH}`vQK|Y%ZWD>}SG{~n7$O|t_>2uQb8L%+dU9Mh3 zF4@y4-cv5%-b=@3>GjIul1q%sqZ*eN3|tH2B7OSf;u@3djv-yPx6#t;l||;I#K;`h z$jlmK67f>IKDwP)<2NP-`7sUh2Mx#z(_i|$YWfV~B_h9%&@im|j(8-KzvGo9|Mw-v z<%q`RdkkC)<05@5E>>_3GE{^HcB=dL6X7oG(VuUf0N6Gi#=Su0s+6N>=#p3r9WAR3f#pe=WA$?+DvDuZ8J)#MH-&?Hy zDlt}1XsrG+0ant-V%48tUBg23hEHI9Ix&d7LP_^JdSBRUQB?8^ofPXdaWrhWvM1oySdu)oyF#ZiLp7Z zv3WHCHqs{+HXE%<^kJ&MbIU-D7@DW9T)pva!!GB{f1TP?Ip{4!_>>cLt<^*}jgt0g)$(sI#A zTBgU*NGZ`shmUwi5j^HitCKj(uC5k4Mg^YeOyqSG(n2+3&58+o*=hVhqG=@kbU{z! zH<)Qmq@O77<83I{fbGPyxS<~B90?mb;VHP>H=v0H{9h*moaFgiHQ?W20AE-?NuO^w zeLD4%8$aEIee3B|0I!{csGUbh`n|SD{di)eE^4HH)B>0wk$BVDQnsA+_IvIAsLVva z*B0PkN(}HN4e&1-fES(x>GKPwPvD>n5QW49tpP18W`B?v zv&$N@-!)J!jG6R_h1uGtQJ5XmbsV?DRp;o~hG5j=jm6}z6Jzp>#^g&0Fp)kM6Dx5C zNotu}%fS8nNpx74zW=Ip_~E__ex0-&inaP|4wK+)H|qyAv2?s|SyBt~ZJLgobsg?KZm;UV9^~`QQCgdUa>(Ar>3-)PfbJ1*5Yw2l6xoBT|76u$s<@msNZ?wMwSka8HO9s z!cJB>(PWXO@eVy%MKf7REDeB4K;jn0cIDOu{lX0`67Nog1X&%=Yb4%fkXTqNNS~Xg z&j5Y5TI~5td~vp!l&;E36EoYazIemp!6t0XvP_ce#c|UTIknM_%1; zTl#$2^cf(fMnp>SgcwVu{i(%Z)AFRY)|AFz zz3v&u){;K4Fz8(XKu<~UmlmH?VtjHMpRok^NS|2vtfy^L+;s$*+qE=$zO&dIPmE1o zV>6im8|h=Qv2tdRd=kF2OV9R;c8KgrO{Mt$6psGj2#uBvR!ZG3Exjr1#v3u>Hf@(x zD@0c5wQpqA5NZa(7NLU&-L=W?Lg74Btg!oCzoKub^Y#m5H;v3ar^$3AFb2{8Og=wtEh@MFssFv=%1JApLgLOKU!YS z-auteRF8ejSMh%+CFhzzk;RF;+awvweO>)s1c9CY$!H5qCcS@ppv$# z3-9M!=f1EAH?L7)Q`CsW?If>)>cwmLB6HXdRF~aa4Dhpa{YR@cnQ>r>X10zLPN$9@ z9W*b#2mQ{|c+)hVE2XgD!4K)p`9IU;ah+f>Pb$ zj*7Uri=hBoaZzfioVFxd!k3icbE{^vb-G3rE#StL3482(d>s>E+}4_0fm9+wv4RytfTxmrZyyAEC0;REk_=-he{MD=lhFaZB9E@7vs)maU?Uq$I? zJ3<^-LYR29-t=8SxW%B(R|WPccs&9!#rI&UTGya@?-JN|q7-<~GTMv$%5|!z8!cDj z1nU>9h%I=&(KBN&UXIqf_cVdcP(7E*?yjcWopLY{8Yz7P-VlnuH>bdb4K74QO$+KK zGb?$QM2q$xcucHm{##jTP=a5<+7EkFj_v-G2@;X&`x{by&@I4at%V7`-bQAOE;;u>#_oP$t%OvA^3|(9SI8Z(s1&XD6v=l$6 zzVR(wQb7;Z-=oEE#~8(LCCq;;_>tl=obE0zrho3n*_`6v(O>(KKw2E9e>Ngjp}3Cz z`EB~=H|U@DB2Zp@H~ljMXQ-H`fBu;M`8@rTqtRc$Kh0=}zN#+D05<&H`QXRq`IGbf zxq1H7Jbz}MKQYh4&-2jpJnTFVIo}K(pg|b!mBEh$ry1zr6AEHFH?AP2lP(HkN=;P| zQ%a74n6^k2#1yDh5R+@q5EsdaZbl>Sf@kuL;7SRWjwAxq6Dqzh?Z_^S*1AtrJ3NJe zC{I;OMuu?H4IK|n>!G$0hvci=X)`6ia_&=UDp9UC}TU5w9^)uPbmbv#k@q z>=>;*JpWcO2bULLg=*8#BV`oE#NLtmpiw?;k5`z-yzEzK;}y5S%n%ud^Q0fODj{<% z8dev!;f^MvTyrW7d2K3Rb5+;Y(XW0zmn#1f{&Po4mBS!4ww$h2zEp`NSDY+SU#C@l zrz(R-OL)=2xKm@hmBNR0CGs;XjhPx9dks~?`3qDx+!jG!)LsOg3yCKz(!TO^SJ7*y zD0}-`aguk!)_wyDczfrA`?-Mk8Z6ad9qM{+pxU1J-xmDuKKySRm0aJ4;=ntCJ;D8F zMglK*AlMn~qV5ds3cjFF-J;;kl~ekSZAZUoteHyadkfp^-= zWh+qOc(a!Z-9r1Iz&AHI?Ul20Ude}H>(K>YxD7L3^$Lx&6800(>oBq<+p&0LBXUiG zTx&GB-lRw+#q7z?H2%qwXygKlp;U1eG>03HtAaiTGKQ~=f0%F!I60GBpkC)PnxznzHst)vh3!Qk<1 z=VCIl1~Ce!PCe0k9=N@q9A$TcIwxfkjot&qZ?!`{8hm~GgD%uQ(D8mEy8jq%+qNay zLho7s^RIjux8zN#Yh|>(G>R|&KyUm=F6;;6bO;QC<928jpY{WF75mgIViBd3zP5%1 z3L*XdaghGrg&MsZBYih0lbjG6+?x~-ny*)J%FV(4)BUkOFaY}vS?rI(OTdx_&N8gb z^rsfWhi3Yd3pKiZq&H5YusF6JQGo;L2VsqBsNfP>yDI;zKh_5aV7)Pm`ic!dg&K

3cDIk^2##6uZIXzkw4r)wAgYfJKy?K7bvZ){z87NPLHM4F(XJ1^-Abxk zl5a&C87K5TQ}f=Am?;X>T`wRS$_ZF@rkexNKRf{atvc+LYSvP7_&^H51oHtQMm+|S zM2sr8yAv90>%O#ifiFFEF;+=+4u`h};{DhFytk-}(_C~@AVsrg*7dianvX}XXkq$D!C!S7JwWBnz> zaIl%7-dTJ?_lBG^4%l;l0Y*4o@vu_^SJInK_OC5vPhxvOq2_uEWCsLg@js!4p1O4s8kW`n%hg6hh=QCP^_VfuU*$E@N{N^ zLJ70JH`T=LdDM>XHd2{6@YRr!n?q;8t}l;`i(UXFe1d8G#6?|(Zsfu^#KMshRB_ERA#nRR?Fr{Y zK*>F=yN5v#%~3uO?W+SnuiQkzfC_Fen!ygNir0(=6VV_2Q34V~{;K!GvpaId=I z5DA*NkE{@XTgMpv7a{K|;1VAMyyIt4VW&WY#fR^or=)AWFu zv%85O^|#*dc+8jo}i-WJqMu`Xfh@C4z^&S?tmJeDRAv4Z+sH za(uCgy*o&SD#D?34Lz-4$PQ-#rqq!v-moW;*M6G;U7`UO4zdhOy^4j(w^mcTwklzv zmy%HI6jnIhc#Mq|KcDuV#XY0^Rj&q@A9r*>N%3!LSpjzH7aPX7A!3$+zLSqTFKUFZw&@X zbsDS0LoONJ+084-o5o7OhHIsPr2~_LP8ottNpH%MhfSbu5xvaGN}v^k+q_XELzT!t zO?6V-vjN6;Rt5r(*dd2K(60RX7ETf_UbaA=tKy(WA_}eykTXibsyNl_!=NVib3fSex&D?hG(qtPsP+A4JUx{HE7`x% z_xvwFZ;Q8pE_?b5+opo_cWH_(6w7$GL#U6MKK=LHq8}a`yQJ@X0GEw6D|^(%AIwg~ z&djOc1zZD20)uQ>c-#0NY(IVdknk)y^vF;Km$EU)&Md@=vf;=@mvfr&BBN zjj5TNlS*L%>QXIbGP$*R*^_(!O9wj@{~aDkv?aQ)KYoU52Q;y>_kVSKCKlK3)Lbht zGS_~~*B)6dngVHjCKVii$uQhN(geh$(kB*^{+qF}r`%e~xSX8)DKg85MK7~krSjcb zsOnU52tkB*!UBx86q3f3FEa&oNJ14-a}Gus3@gN3U@uYfCvh(%Hux8r*eqW|WZD;| z(FB6IUI?$LyK%I=hof7D0hAK1&LAf02MCrB5uD{PwXiJ~{7}B-OmgvZ|?a8zECkup#djN}1em zFa?7GZVDOcWYy(hQovot zP_}e*PXW1YQF}PJod;1$5oVr?h%jG|H+E9q&@pH%uG^)#P9S2gdylF^P9pvvj%*e& zfh|6_30C)NlEl%{(kB+TeQ<0{&N&{FILjQfn`32)O^Ebh+)qK_bn=Dyh(FTrX5r+K z_nD^>^w7%e>2=4OGz(Hpk-}Hhvf|H@nB%M)Ups~!Lhg76FSIk5xirx$zNQ^*=b z(krFf-e}>J&C;+rO@Bsrr)f96_z@DN)(p4NQs)yNH@RjwgTZE-jWQ_5Q*z6)lD$f? zo(D0m-h7I)UDi7vOz)EQerYG-U9ouzTVtOg=xA$fOf%I@GZ}VkEIMZ6HI3{w-gzP8 zHAIe;SvX`lcZPpCaD*}&SY*bXz9VB5WWPHxvT2R%cbaJ(C}P-hl|COaeFnH!J1;`q z>KI>$ol~5`ud4W4*k0RfB8t=0;`$SbaUIvV{zn7%!njJGShzkUDhl2rOlsCXG|5wR zxunjtM7oz=r!iYwjDIyT#uFOjPba`w`ozL`8(U7U`K9(%oIBwrqQQ+Uet(=8zkM3N z&nLi7`ozL-*J;OTujy;)dEvqzDx~CzOljQa7U!=d#(BTS`O67#mOd6|M`d;9MlYS> ze08Y36ep3r44EiP-b#OGfX`Z;x4{X<8_AE%5hpW*RGn5Paa3KOEMUEc`ns40e}f2LJVJMZbqYOx`I@ve*&__Ya~or^amo{PiXbCJNT{JOER zem4o?d_b-lk}rG_X;SJ08l`9Wa6j~>m9sUxmlDX-)~F9LVr(YCtT&ZK!ey>I2V)93q;P+oL=}=XZT3;%mukdD5KWYTMLS}YZbn-Z7!Sw5ks6C_ zH!nLy0bpn;yfpi2J(-K|XY0#cYrC)!*6Q)b&dd+o4r9GhGnPQajP>f*4DBp-0$_Z; z6V$#d0pCd<%Xf}b(czU8H(}u7X8c384Y?#D^{kEV^!|!6=)#*o-LB@qg~i!XxzqVf*5?XX_3 zY>Y`YsEM8WKaLHa7@1FY!w?=q;q5cVAFx{d$KN5)c_}OpM9X5Ovu9f~R-gMv-E-w^*-1 zwUT%~u}twXjrEA`8OJJ-KC!T#P?t?oo)1hC5&Xmg**dOMMXoN+7vQCl|H1*uJ6byI zPE3d6nhp;ppo8>@MTfUcR_1UF!3%w#vk?&iu!+cIlsiV1W3gj5wJU#7D0C->w6uFu zV%nY1w0k@O?WB*Tog?EH)DW`ndJ4>Sm*-F=0xVUmPI+~5SB;?T^~z%YTw=^mY0Mos z5(vnNK?2e_Jwp|e$x1Tu<>VbLlBL8*p4Lbf5=^i3nKpd}Y$QB(6d9X{N8suPR2ih? z0eC24`YBz(4-hlEfs{s)9Xfg?E8#VaU@7yS#FTl9rpzk_%Y{{j^od28iF0Rhx>y~* zK(vOA3UJ;fkpKdOZREBvp%5f_M@xr~B&Nd|O^0twKnLj)iw@~_CBnW#3>A{Jo29{j zNKAvXng;(q0S%;2EE=S`%m+RWK>An;BvAt* zWgPKq!y)UiJxNuY$~caEonz=$4fJ?rG5>sG%%9enJ8&dW1CO1jLmXJnDljh_0Osfg zoZ=Mu%yYcnoq&tc2d`lSi}qh7Mq5>P+FAU|1QRZO{@nB#pcqabhqr?S*>+or0t>|Y z*o)xYS=x~3mV_oR+#1w(YB)=?5xN4%2|x@M|CEAoQM1ah?it74mOim)mb$3U=F!d( z5l-*m5~bug8x$<(gHoX>?b;^nWhwArVhUW+6nG#31*A_b3cOL)lV8Ds0a)DXE^oWJ zrj8RJ%iDEAJ1mOVHi)Iq&Zf{Yd60gam z;oCJz?=sUfSb|b^z4WjVy@*32;hq=(;s7xj=f+CSk*{qK zOCP=>E0MN%ho;Ym46X~)NBYE~&!J;rbA(WJ0)nL3PSR-uei065k!E91@#X6eP3O(vq( zJ2k!jA_2XmkENHj1Uj>-y7z5FGFxS9dl#QwTZ;JSRRUEHE|N2ssQk^aNRHp#5OWr2x-Ju%P)40@Q z^7LMB5=l}}7lj?{Do9MJX-z3V0i~pmrIeL^3(HR7P%C0=@8VRO?Chuq z+9g1>w2C7@2Nv(t3wmH1OXMgvks(~)RZ23`0@1V3*i^(%>iP${H| z!9cg(fLJnrBsQ5v^k3_y?|^cB1IwBUN5m_A`h&4S1xI|R!x3c-@xQekF@(#Nuvd(Y z;tbdOcS|??_8UCy#gMqBqSpxbQmzup#5S7P2Xv-;SQSAk^wy5c>Hi)*U0s04sy?jvojujor=uSk#K;Wv1vE8r)@5KPT16nMIZ zT4X!qrZ=c+jt-hB&ys_zB`0x+miPGZl<&*~k&8-`gfqiR(3IILv~* zdMdZuC18a=9f>tyMGYv9tJl+j7IxwPR+829pPbb+t5?%!%xWrr2aY?or;!e-3UfqO zm-j*%)Oi6XzLEaTf|mjZbV~+;^f_D|Hm6Kq&KD$)(Io9fLuL%8oE_gA>-aRN%(6_c za(8_%rmu=&pnh1g{C}~@LY(oJ)cXE2H#A8E0M6EXI0;@B02w2GLY;h_E)ODiB+eFq z^r35$RG&@*)~VGUUBoR4O6yToW-6S_mMoX~1XJ@SGS1pNWg*DeCB5p*Fba&ql+}t> z=|ZZO`Pglb?aVx1VC&3$@k_uHM+p70Jd?Zisk z_!BE%S+7BCP8EOB#cTBG3n$J`p3Y!WGG|V_{Ry&5GKeu%vV{yPTxT#*8D#nUM)1e) zpumQ(JA`j16QspY1IFTi!9N|c^CpI~s94$AY0RPWJv~i22i~T>M3Jw=pfgr#PmxQB%G&2 zG$Sn21?P{rB zCLSq6>GLOMx(0rVr&#*Ln&PL91%B=tyCPamSml6&i*(HgCJ#|~L%aLX_Ir7qZ zy1J6ASvHg1pa(XtRNQng&Zjh>sHafw1Xo}phN{Ysb1tQ9gV>`A+5n!2o{2j)Pe$y~ zE%nC|Q~#T~B)g?#aR@5FW;o#r@3uQ;$WEaQLw(0gmsKW8!>T%G==Zj%PPxg-#H1av zck56c7nd-;9d$JLaIoDc2EeVg4gbdeV)jM`hr$pi=bLgHf%Cwpi)u!rm57|HEfyGD z=CWD8vwFvfq7!arg@+y8OS^lx7~Wh?qA+vd+lE9D7oujAVAf2x)^e+dg80X9w9D{ zZv>fK36+fjGQOxgm3*FfO;(B$q>#ExuMbWnDQ0%?5z0-rd>;`3Y=4!0V8tiTkG7K-O;L=U$e`ekXcDjCNa69+-hRrTpy$ME#T4!=u= z$70PA%U<*A>4M*w=5Juxj|Yu%2_G9m%>t~Vd?RR`Ssp=l7s}@9bo+&j+9sH%+tm@@ zxseG9GeHUe1OG0Ddk1!331b`!?ZqZSN+Affo`0*KxT+k-$rNd~L*dbFOnzOhH&B^L zNH;KGuV9|<5pNV4puds>^WdIpjzXP9b~ZA(#SOBp7WGX#P0XelNeZ`%|vME&dqk9PI1>m$eoq_}RD;D{K}2BVL;*^4$mJ)A-AL_>=uU z++(~xpKeC$+Hfa@NH^8@pi}Wj@wuL${-1c!qzRdp?tD>F0mLP}iJQ+?X2WP1y;RRe zmBQU#Jd2*ehl@vGwGTl{tU&sU0XN7fhTZWq^4c$c!Titnet zD3_pk3}Y0@I4S-*J)_OA;(KA!b9Acslk^vP{lzy@JF<_O(GY<`6*U=E2If_UWu8Hq zXE5d&ig^ZNo?)2h@6YqM=lQ#Mi*L^J_vZOq^ZcFpX0VQKf!_{`=flA+#tnDZeOz7H z_SqsADEms0iUKIaC|zA4MhRyMF-o6Mh><;}5TpG+g%}0q6k-(UV8n`S9zPy@F!)j2 zH2s<2)4^W_f5wON`8r-sCNI)8wVV)Eq+47$d!a}dn)0r7k*@eG(vDk^uDIloSdp%J zmsB*u4{naz#<80+q(r6))__VK893TrH*09Q)|X8=`43+?nQt2DKKT7 zWFPO@@}*nW$AU$i=`1%=9uH1tLVh7#s(IT_MqqZ)eSF8b`O#vrZx5vKDWfUYshyD$AvU zRQw;63n_Zms8(@t05;0#`W9Rjh5H3?lK@Nwy1IpPr06Y0@~Op4RXhEgUWb9j-`^S> zBCLb$=Yt(Ijlun-B_4o=d;|XX5dOCt|J!pFsUNA}AZB0#W*|s|TKg2GWY%ddIXAux zUrt|2dnZbTD)?s^hS(IjkL>49#{c|r{_>7<8+WVE`)$Bt)3a7kQ z1HYs}Nu_OIAJezC4y$d2(O``+d6vsNLC8L^=w#!gvl>8M)c|c)0Ig6ZL?K&x+$}_G zM=vr+)hatc3s*iOkZR$L=0-SoHOGAP6%-bmclE($Z?=;?%(C6AWF*|&m;97_+=m$G zWuQE_Fqdr&u48^`?f8ra&GrXDC&C@u2|#hvvlN7*{p!nA)Id<;FnqI#4Q~xT+8aZX zJ_isr>R1E@%Z;-bIE8^z4H{S>8uB6`96uZf$A7g@qXtI$RuCdN-fJ(Y3+KE`u!6YE zse|&*_DA{P0F>7vi_BJc_Iy!!O zgR>OR!h)eFjOFb==ud`629RMirzAuwr$3dVFcV#!j$k2u3cR2`CDi%dg%Bs|d^QHd z$DzbF)GCncLCE(`QM`nJ)A4r)p!z<)5ykPv5I2eC92F5X_ ze%qynU-R}Iu~Sc(Ry^}A!tB)a$NA9#I3uix*vdXT;rKu&%EhhZh%Bf+x2nQq3$(*R zC~oBOZe!_>GClUAI386SB%=f5IEv7c2boYtM$Ki38JVTPZeD-d93DWM-AtSPsaf^0 z6p@AkO(_Tqd@Kb)p#oHzHHuHfq!S-Aem&`wW;z`J-=HcY-(yC^Iz9(mlMdr3T3vvZ z2frMtOm^w8E8L%2j}4#}L?<}u05OmGWGb&dDHJ2aQh!otmWfF-K2-I3(ri1^?BEg4 z5i-PH7dejZkcfgGeMq#pkl!~kfJWPxMh8=lpdqGGu{Dt}#dpUf2_J=cJxMZh0=K22 zl(_c{x!(>6zJD+Y_6;Dxh)xSlHF->71BxTX5i#E#qn#Bo?M8H`;ar7kf}kGUh!po< z-Ikp)d>kd*n{b5SJXmq`nZcynKY(<@RF7K^D0KVv81#S&F8*qab{f^e^dO=^pAT+C zBi){Hw~|iX^A(8@BM#Z_K_qd&q8nt+uB5~mGo%pit1$>dg!@X2cDIl2#*;lq*2(TkYyW1zgFfA&oE7~TC=jYsG1_TV z2QPJ!2XJTyH=>bVT!`6dq^s^4w__rRs6!V@JhuHt9H;HK6VrL#L?AG>M8Hb8>F)~aMi<3P` z%5cLA@_SSR%9%wL4}yKzw?l?|g~|ycL=)f|cTX8GIGNU@9PDYp(JW6<)SLm@r$7Ap z`B%Mz_7j|?`13zY?XzlB2{!#>M$t0IkMv#YouL?F42nl?8^jpTt;cwm!4NN$u`jKo z_dMg_3p5qR*apGjAmb($Z2596BIIPzwXk(AW2NUTPo4m_Ly;v%Ookx~ zQ%sD-(+hT@W9%HpRSr3y=`uWpB+44Jx1aWIBB=#J>edS?kVJLFQhZgw3&e`E>QlYI zryRYIPGsN=CeF4nxFzIk;!c@d;9<9fskp;nIO{>CzU9)#X;yY?cs9~f?NZ6poB6=f?~o|Pyi8iZ)eynV{0CfJ_RNU zXwLfeonF`^2xu5&c$?NJ7gj?qPS3gEKq0LlSpV7lUh2oe^AHhQz=B)J@dQ~mIb7I_ zkui1L1J@_ups80bt} z;k%PFH^Aaf3_7~+h+_LA-E7a4EdFO8FG{HRdqfGfiLj<~nK%Ia!9enkMvEDWXi?a} z_R=u^O(`H+euvwmNWZoCISe>RC38{%HpW_m_Xs%-pRdyO=dI!wF=n(3RmEPj>{r(GH5maWA$PFdl|5rEOf`DjlO_xV@8a{(dudQ*DiouhP3 z$1!FLlMAgq+fUycap)L=v<*&L+mSG`DQ36tp191G9$&mj$?Rv9+CFP`$e{#r zW(wQ2$VZ;c)v-V8oq=9GM>#!)Qh`;$x{OklOVJ#2jz$I%r^U?^JJm_a&q ztq0mrTgV@wOFOz=wr!faf{#3elFs(qK0kA!Ji z0^=i_?9I#%H{cJbTHHEE4v(md?SZaSP zG1NbHXQAGpASQ1igZ!)vgD%X``=y2cR}w@2%Xb#~joK6I4St`u7XCj<4F4Y{g@2$P zD)LR>TRCTPka&%$(QAQNOwf4DRy}uNx_n=_>I*5iTwxnP3+$<(=w=uovIHeCd8}p3GqIK-9U}L z`0&2R49x0>g^q8!OC&1jhP#-eA`Wy*_hTtKi&6iy5Pl*t{XTYQAzXaGPg!BcKP+^= zmKeHUxwFtM-AAJ05#dSsX(9YVVhH~zDTJ@j1A#G!o$1WEUiMRXZmmXU~+ z7o$f^R=%5?z6PzgBQbPa?=W$ubemfK^p*!sP;1mG*d5-mKs3M}TryTwgk!@}c> zx)MQ07j)f0=)}I%ZnXTg^y6!^5b~n}1m7_=>AU(9zXacM`fmqT%=P ztz<&~b4j6lT^HX9UVPOQwj&F&;@Y0siTG+_RKF4*)h~0?!OLt3?==dP`j>@o6P3_U z#3<|0BPOH7flpRe--VV+4B^W&HoAEo<4?DxpCx-61 zq|m*ti*4(SPwQ-4{U-(Lr>3bmLTX~dI7kEASW@ua4~dxlMto8c!v^n@E_F~2R0 zmlDHxAt{UrmgC^2izy@|n;HF^MvH0hxpigL(zXm6BI`wYEvD#T0#H$GM%7DrIv6>=%O{G{-rkO`PM#*`k~jz{zAd7n*fXI}c+- zNjr^`8QbH~rR;#>I1wG4>~$Qo_%C8J0P%!?QyIi-S&*h-(CZ)lujXY!>A}{YT~cDALuTqyi&-azSCZ2P%gND6paE(EpVv}d~mAXtTm7h!diZz5e( z7wzxL^?X4RrY=(=s?I9K5hhOewd~)U%Q^WLr!1(l@KhoQ}+uU z{7U&h*zTqJS~hJYTH8fdu~U1zv4c~A`q=hH@t3Lfj&u8DF$ie97(VnhIg5_3EYQjt zxFgc!_Yx6MOOxIN%)b8YWhcIq7z+yo1N6^nlozl%gNDm0KVv%eKimA=0TvLKP>qq+ z#zmbgACiE07HgWy3`0t&%9vi3YKW?17?jqB>MO{Jn+a_8H%ijrN6shVQKbScRG}CW z0eSOk{d2lGrRtZEwnfVx%QM7LuyC4g8p67!ai{A|tTsL%miBnzW9G5Kz-l6?8D4hoemH9G#y=zP^=e(4RgoZQ~Yz6s2QITC(v` zeqE9oz|r|?E{fPwYJ9bWFZn(S$uo)8cG1{Ki|#j;X_iuf;p82I?m{_{TnjH&L-enhbvMw?;l*k?*~QxbOU_**(NdgUpF%+$=e`l>sOI!^ z;YKUEJ58sz`7SC~AUI})wO{}Ea@F1_O)EB!>R5DXB#wXZfh?3p!>JZ1bbU=M$pf)a zO_6uGcR8$rBmOS4WTBrCY^*T;D@H~>5%E(Au7Kk_}*dc|3eey9rG~B<)KzM_oI3HH;y88jE6ZqKFMbD0k5jSf0T=MUi3|9s z(B!!8?z(`_y$3p!PIZCN;M2KPaoB)XRdIBw8qz>n&G;`ujbUZ59^|{*mHz7MOez&N zg#%VNp2ekiaD5+CX=m*jXgp|EeJKMO;D+k99wQeNuGQ+LsppN6IySeF@ znW7mTro*zORZJHb(V)31>2#7GWEE&y;$B2PFF;U$;HdnnO$(!wqceAKG8|*}nGV*u zBgX92jzI^i3^~U0n6RUO#QOaqu%WVN|Cv$fbZCD@vEo1o7+=jB+FMaj{Ap->G4$j# zOtbxg6EXV3u`yFSi?~>GE1BGvWoa1|2XPU?%B3KWUDImCm~~91d)xAr)7Q@Gq9V!H z3wadHD$VUx>zkGsmbfTU{OYjp9dBQ)S&mb&VrOF<%2fn|c-1Ty%t~~9>YE*m-fkUl z=tU7RkbA$hllb)=Ll0g<+M|A4){p?k9`!H%vyc$!X4)2YAX z8U57Q*f~em^CGy>pha-P>I85<=}o9ewimSupsR3Qrw*4Ul-ct`9O`1usF?auO|4R_pqAtM4XIz8#cN-oYNH2E6Os80k`x9ehr)=TBvx+^j z>wp?;95y+LsJj)sRGtFjn5w~nnZ-b&*a;okSGAIr>}KBL>*SOrNsLKFH8j&}qs@*5 z4(9L-n~yRuF9Q{7vBH{1?kSW%-N9S!OnYx%JcV@!w6L@IUpqcBa6%-6@n&IQ0g)N_ zqes+Tu0}#6B(J`H?{y-uMOlE3&$tHPPbFYn(;rQ+y+fGh6srWEH;)IflDf}*`@sATn zGWy+GzK&J=hFtLjm*W>=hY~jGlb0Fgo6#hx+$!VD^r9gQFdT4i=SqYvY)(vVg>_e9CnN zUkmXp6U+GVnb?5VlVy&awwnaMi$z)#)dX{xVRi)0f}Rs5}?oP5x^?( zYkx;)PgS!eQ<4-j=7@i_BaBJRmgZg}5ulvOY-J8M4e1KpSOtAyVufZ3&)?RdJn21$ zwPf;RlZog^x1Ovm@Rl3_H3vn8>ql;*59c#4)-< z8k94Xd9br7Bi-59;`?%9eBUDY&Kb}b#@BSR_zqAqOI4kHY)YiKq-@nCv%`kiV&^-f zdsP-eod>>B%H4fGs>3GUv9^e-_9Op)_TB|duB$o|#kMRO zfhY(fOR_E5dSJ=WU_`6BtGcU7)m80!sMQ#83CT@RQUn4WNCA%ggho8lgr%XX2M)D$^HMe_u6}(Q>RX!lG+dK_6M!*^VnzawbxpE zy%$wPisnSblc;1x_umZMo6rzhy-L`Mh4aA58dsr1-EuF#k-2wu8?FrWN7>W6s@tkA z_g*Ru?W!|7O{zF5YnE(bw4J3YTUyNTE-WCXpf`eJu~e0Qe(b1o#rSgVXRsk{9=<=! zow=>{0sdnOlbkdS46d0eE=XIIAS7YcfO1Q3HHPx2DgCYj0WcHGYCjh))-FCQ>d2M> zK~>*g{zCE2LD9Rqh`wp)tG9jz_<+_mg!K>byIYT*WaSq{O#&TU(mBi~Uwf6Qb7!}Z zh6PtxPIR?K$JZ|(P_P~q@#-iuN+-9i=cXpRMN~M%Ju6Cy4kxV&iO7AjwhBaaoQr|v zA@&W59qtW4xt!0J6cvvD>R%nu(t+wE+3k;KeJ_a~8>>;4! zIg5&L;^H4G7v>7lnFCtukxg<=(#DBxIAhjvrc*sDbvDkxt$?DDD0|o1E_LxBBRJ(x z>av+alh94tWe5gv2uO%Pnll0046Cphi~0;jNu{0UA=AMLJx+x%MMjnVJrBo+N}_b; z*s9{H=F3Jn`=~2>C=pR-B?b^&f>8!CqLePIz%T_(77{Ls@PR|g9sFzS7VbyEM3lpf z>tq&T%BbMS$$I;)i^jm*j2Fh}ZZfY%c@akpztA)eaN}|^x|}(};nfKQbd=i^CRzjv zVSfCS?1+&ri4*Fsr3qL<9n)a1_O-w!uOPIZ9d**ORNxJ#@R@+V0gNk^sCF9f`q82i_o<6Ckg4dy(TyAd15_3;D zzsthmumWT6=2XV$ts!Y_GZ_3IGqEo$LdMOrDkL_JvPFFJdg~1{4hGk~RShskH@ywY zwRN)of~Ss+=tCD0aGW}Zncw7pBXX^s57D#ceDGM5M8v@g2(VmKJBQ*b*nvM~>Fd&e zV^FUf)z>p0^0R$$Zk&g{zAez#-=K7PyB#5vM0@`R$0Sa8p7NzC&TMuNj8Lko(kz+i z3Nidc3^THY2u@;3L3)HKILtcSi~?C`RUwIrwCP7e7w4`hN^mqk&|GBwW0X9G6AXr$ zX+(~cV84^1h{jY*anDG!b7)OXvADAc8HbHl_bNm92AZ+oy*;^iPjT&yDchFc%rbcl zhw%9Lebw`2)LLe1NmX%;r5=Vb+QJ|r&6|k1`FY6yMtVf#912OpMvsEFC9}5_mnrR8 zIlK_P4x%j$Y)gpfn?WlE845WD(-1O=9u&A`|Iqi-yvD(IL`_jQDPFVkHP8&t^9P25 z#kF3Ns_u=Ys0l==7Z+R|Y&U7)d&i&uJTmj-ti5%|M07LlttTswTE*brGU-5rw2A zRBEA!07Y>cV@WX85XLiTw)Bz4+Mp=BEBib&7$6BQ7vdVjCbPN`3N=(_9Lia5*S_Oge0I6dXU5~*Q?Vg zG!9}kmX3tO`o08O$9*z4c|bYzQz}lq=jr8WV&Lo(-iBkGR+7aU0GOg*m%I5yO~%lc3}6?x4M^-cHp3`AOm2mhB8qEw@z|-Mql$P z`WS$hfz-o;y<@^Zi=}g5fC%msz74L>C`$hxbI2RE2oAeg22aFL%AADT;M}h-@ywQ3 z&2|&5l-taUK$@9<5WJ|`L2p^(mf@iw&7IA8p5P~q1lh;=$t~$?RhBa7w%^2VV))Gc z&?tg8DOb_Sk*oCnm3Vod*6{V~)|ux=UbpD89uJ3*KCXrQIX-@pR#Bcn#xe&)q405( z=Z$oxFvcZ{1oMzkkh8<67l;t0lE{Jf?Fs2Au83HOjuAht1i@A=lp5r))2}It8i|!> ztDyodPOmY`IN*3>np7R%N(A^?qFt>DYn#DU&ZbdhK9X1~rA?zTK>ELNvZJtX6;d;7 zjK>~2^`N!IEffzdr5>H{P2gf2)o<*FouYZ#Ex*+tNDP|`#ita-by9-j|M2YGD-TPB zMt-t!fPA+jo6HRmp6_0Ir+X>M^S$e!_x|zmhs!hFmL%66u+k^#%3oCifJTRKT^ee^ z){XsL%-1Plz?4#pQKgC;;TF2vYdQ^DS2KqWm=7r#jcT1m-kvAzGHuhaH>Zn-zmh=4 z1djU|>pC2cr`+=U@~OnInIKj+enxRzCnY%kZBISi{JL~z`SHyy>X#hqWCBC*&ApTh z-~KcCxYdz#n?fBDE_&2f62(QO3sJ7fwObG?kaejnU34(`Pg=;+j7y^P<)TECS=TDD zafzBEye7pRHp>o7SP+}&3`v%9&3qA>XBQoZW+C91v&P=-6zgY^CN4od)bh}ym0zTG z2!)evsA$R}zC}?vSEuQPEYWBc9vC#omX+F5(F?uvHNH(oo z&&lX9>p9UW2(2Gq>do(6tfTXE z!gjyPB%lT}A2m2TEDTuA#@|Ku_3>^IRsp)!i z=4|lN8BE=Wk-3SktEne~`Eu-q zXkYrH1%72p9lldA6|jZpn1|s$|7!vt>>a!M?E?RntX4M7&9xwtmiY^^Z6C4hdkq^6 zHLPKyun(}Trv@7h$41md1Gcjl5s$Y94*)Drl*!E-=|gedLxbLsWJ-TL4HI{KY5HK zI@QLRhY#Z9sJ)4!Zas=GnBb2ygTAtkuV;3pZ9-E z9Q%7vEr-Q|?BMsp`xl)sxqPR}aG=6gt^#HL7yL2*0Sj)GhX%`=hzd9yLpA4q@g0DRs{Kp&tF3I+2D#E zS85kN{4l7?0(iG^ri1%0QSUcGJXRJ;78t0JYAeQ%ZMC!M#B7f+6HJz zVDvM7C-HTP?X#&{gI=ccr0$OU+r#89E@gx6(+&DlzrtI3ue!_y_(|!o`8UeV=ug~? zR^BN0QqGOiHi6)V*sPOQn=w{>?g1&tR=(r57y@E-EwQ(PwyA?B-&duqlo72jB=U(!A zH~6gVx0$;G(2KMwCaSbcbKu@;$eKI|DLG;Om_b5K0hGz|9BTZ)p@~0Lh96PG76s)g z^C-B05tPToa0R3>mL)M(1kb@dqGp$ek3V#1Z}d1tn+x*Tf#b(c9hy9aYxYbvmk%F1 zdFtUu4xBoC{1|QpTwHITc!ci=zc7~`KJ=PL4nKV8=%Hh$PVx&T3{cSCJfKsM&zc2b zV)0d46hO3UxO#if~x{gLyyqp-wK+_X)35K0<~-B`C|z`s3-?^frmeh z(H8Dx8qq00LC&Ffb)aK`_Am~z6ZDCivPN};(ueN;_trisXtI? ze=DibO7t?cQcWlnpR%zalK)3%kcI~PCjDr}F@^9^gwdJs+R)2pjsqyGILYajHigvS zy%xt8N5C&Ic_R!710Zr2nRKEZ)BbAlLKy`jj^Y}v(SFV8!Yartq-;+au=riWE-G*V z{ixj~W$AI{YJ;v`4=jJdp9(*j7$TFwt4KKg6^kZ10TBsrN&#~2$p(%%>-Gt*`04)g z>P=S)Dj5^Sleg=BB?>y-yTON~D(?>Jo;cFZ!G4EMEp{~iz*Xr-qe0Lqi=cW!p6s-a zOLd?Vg194nhwA)%w^8jZ72vP#OxcJ)?^@_Q1k)4naKxRh_4+&^BznbqXuha1VTumZa_1Z&sa~SQWTL=f zl%Q|21bDW+tH;kce2Xg(?~K#tlJ5lzi^gPO*3%T;K#Z2y9aUeKkJ%OUdxjLYs4CI$ z>j#gbe5-(oJBdV8kXzae{9_7n&FySr}Mvmm5IEtu-1=^W-LByGEmHG+JJI z(rMI*@P7zlWHm(iBdsl0u(ZqPtZ>9`-daLz49<01Y{i4Wz`XO4V_hqg{sG@4gmE~NatbllwHemE(Q0+%B2??v@Sk;ssOO?_*dq$ohAajsc&@J=JCv@ zMZd82Gou--@HisTMxpmw-{C=03^NGg%+ ze?SVM`|PO1q$a@Fy&8aB-#*2ihg2LXF|)P8P%2>^`2DzHl%h*e?n!V{$OXdg83z0n=f;Rc%Gp>tM0whf$u zJ%5`GnaHf}0~yNeVRvI@h%F4IB0=9rh%~11B>X!JX7oDw!DeF{aS}8jjv&bvX-7+C zFt8fxt)b!pBN#+4Zev%Ss-7H3=T)vJ)*X`31mlnHpr;U7vF$#JTSXWkO9vba;O}3% zXUzABZy&Z!KF9(DtkH)4YG~zRyqM6nQOxb|F*q0s(aADU5LF#ih+uIzyNpqU1erZW z1jjtod#UG1#>Wc!(Lz)FXLe+e-W-z5Xm^OL$HVW32V)ynoI8*|il?MRD8hzho`Qhf z{Z)dN0O@hX)H`=yAjBRIcI|?ER&t&OAW;I2rlP6AnGk|*=Eqxe$bdouhon8ZbAT(2 z7SW|uY|B_KYD?gcCW}m}Tv zU>bdAU>g0`-|0-FZ*n^om_|QyA8jX6n=X<6;LM{Uh-=y5SYW47|00Ut7(Fj32>{QJI3KfWBe~6ET6Lf)dXhQ zW?~cKW?3IEqM5krLJo#lObn6B;QC>|hdKo@xFU7@NrJCOM4do>%WN=vkAatBnca?d zktXI4sky+3DT98<7KH`J$j1#$t)-9HyRvO;gi}4KIO~55Jhb=22*C`asn5{NPTO_* z5A0IDJ~_`wQKJnmlN%s2sE9fMN@A!8iGI?w3~2931|tZGS^bkQ8B;LKV2_?QwhVkl zI$m;I0f{j(BGdqO2V2O}=oGSmHeLhH0<(>pLGyie!_0R5dGjM?-Y zR>r0wa}RBHm_Y2S^1vN|Vby@j*fd*sogz*yANpggyxpR63yHx4|~+$ZFI(FNALH|1=&}^pvMJk>NLiyQ4@ed z2VK>oH82oSIY_u7Ls2v`RtruyRe!WlNWJI7Y4~~!6MeXh+yd^#4zaE&}_PJ%m z9|>s)N#Wi$kbDf*YLhhXw!#2_-*=Zt%IA=dKL9EEHzVcXc7r)9-aZEMn8>w)8GkGl zUUt(tBaoxCjL6_8Gq9_6kw41nT>2^ZZCISE#>DO}ao7+**tx#f%5~USv)+geaA*Gj z{D^x$fsJ&qV51S14wLH6051y`7x}U|#tgz1P^k|R&6rNp!p90)h?;+6W3*6%B^gin zQ^0JiwM&{CYKUArH0!cCA-I4BYlr6Ap$Wp1!qActvUX^?(`N0^6am@s^tD4%Pa_AC zXX>Hp>~7x=J$+T|ZXf*_vAey;*~64vS@q4^aKsAMXJ!kmRr$s&yzt3g#z8>W7`!XPxfaWA$<paY=IH0I59qqu@Q2JxngNF<%}HNKRI>a zfk%!#ICb*y8xBDX-n|R|1(%P%_Rzx*?LUD#yA*StsNo%ke0{YrY9XPIO%q{V5rRAs&n6}J zTUAsOnMI)r6!aFdLEzR|n8@Z~J7e@O3N@iKP`fZ1H?AZW>`lV^;xv{GC-a)MtOjpd zGF0w8xwe1bp!?^T+~}rNItKslurRq7VLY}2yi7l?jAoeJ3*3k+v6J3g16%7o)_i3w ztRwc0+P!w~yr+=7wkPGa&se<=nQt;-R1qlhZc3D?+wfEF~+%cXxAjzu8-&Z~+jHfgJ>4sEf zWi-Qhii1WR8oO?YW7qRCu`8HCCU&hTUG;VvqrVZb9^HG_u3e{@c>Tskp-_Oi9>3dL z6S%eaw4Un2zvnjfdsk~yZ~Ot-)bAOz1;dHVGMd@cceoK(qRz=TN!!LSU15BDWJH?R zS((*(XjzSfZ2(*43X0^@2joKH5v;zSnlVxP!lLtgKLY1C2SUF>|IuDOh1I@<{pgUr<%>;--BxO9^ za%?MmE2^UUC)zd6O4l)D|BnEzM(U=;sC^MKY6IoI(P31CWhCz)A#*-zPS>k*lGB7L zE1HtkfSp7-HJUgz0UIEO9*q?ToE>P3GgraO72_*rWjz5HJ>%6zmw!13Gohi1$OGhu zaCxo^dL*JX+Nj`zG_hl@`;kae#*XZOc+HHJR-0<2v_?J6SX%5#+{Ka-{ioWPC2vR~~H+zzBYohD>0&$=&H z+S?pIk8jI7kAoTb^VrXz_6sq?^7UoYTM;2VwEOlMk^_6KHzWt6ZHkTd0xK1giPxKr zxd|Q_8a~xG_|f~dQPDx<3LD^O^~4@IXp+gm=v8$IFL{*tyxmKUt&5BGp~e8~^cMr` z^yt6GF>Vgt|K#u?2=YAmu#K5CiOo3m`ov(VqmJVP#jKG)g^(Kb+CgJW0Hnx7P$V7e z+*fBXzv};*d)2nI(~%daE;oN==E)xc?AS(>eG(xUnBHC~Kq-~cz8D&t9OFef6eH7` z5eLKxtf>j$Im(h4_-kyR5OfXEo1jimm|-nARgfb)JImDLbLIMyp;F5-z*SZ@nUg51 ztZ@!~1JX6POQ>-SFpy6q4CK_17*B&k1I>Zr>I`O4LgxzDNK68+B$~IS0$LN+czeK* ztEe{OwTnQ13wzVH&}tES2w2}7`GqhOVSlsLPH`IQSZ4`7jVj`MO7bh$ID?vGtlWTu zO`3V2CH*O|QR$f=Y3P`MvHtfjt^~$=u2{zxu~FOy17PrUXi382obu;;FNN_%E=QrV z-ecz-31$@MXwMsn9m?S{p70+TPkba3mzCpSZ;&hjoFv>jOZ~Gqo)+)T7 z+Ch4T%tpDb-9#D6I(l;(jw0Ozm@)>2*m45!>JRL}e{2|Ht=x@+XWUb20EQui;cu3c z=pc+<6=A{F7Q++hbyCL1vpdL?ERzEzVG$6CV7`GFi_m0uS=gBPWJw2dsy0rbnR1Jw zpp#U=XP2a}C49O#I1*MpexTBY9O#IA}CxZa<4$N5)uO(5(i?guc(U=BlmW|RO zu(!L~rloRA$knG4dl={HTlyfa+&txuM~rG>&|F-6hsO<_lyGr2Q+?X(t}xZ7?f&{5 zPzdJdi~;zkhTx3BYj1R~Wr&iW6a)GJ+ZUa+Q=zZUEvX2pHLegk)@o9X`L4GD=t+p7wLD{4%Nw@>CN_R)YMhnpc%|*7w zCUXGQn10zp{;(Ujx(i0{v-+~rjD?X{T~LhgPP+!TQR779h}%@;D+{(3_s}rcnSydG=u~ zh3GJC-IRX$f?tALfym=kNV`$71SuGb0vIIb0W@H_FyUlPC+o}bR-E>W7GS}@1&m^j z@HF&vObw0(Ac*rhpsY^00iOn3EL@$5&k-4122I=Cq`sUg9)EX&=Oq|vAI3XI+JDEB z@%JSL&BaIyo{{RLgpqy}q-P8OPcoGW)BHxGvoF8xgC0%4{I(xj$X)8H5|(@N&e~ zTch#4&r1;4&Aln#4^{c9A7@O2Oc==JR3Yyag+CBI;Q=M$zDO`~}y7RZ;i40XoB;zjXeBPrI!P`~{zn9W8c^E3TY2>>>^r zHfEzsz1^&L#np}@%(#K&crc+xrWJ3fYT+n^Xbz)HTw(~0>vep?8Y_fBsihg0a_Yq;?mbY-L|6>!dumbQ*1hfQafC7om}}i^nNiL#34&6kDjK zVr#uIvcbrUL3vtSQ#XkSVh~^vP*O)31SxnZE|ytTObNxma}>@>#w|rSKv*k5#RbSg z7s6{mOT~F~qiDl|EOJ!B`SMo@T#CzLuw7?ww~A&fKj_i-tBFr$o-Jy)e3{2!ow7)3 z9}tyy4dZ|nPe+XNyRN&IUl0kl{4d;TmWeDPhy<^F*}ay**VJi@6l;)2{nV6fs=>-W#%l^L&n(Qqh=Dw(hw(!6jYJu zEzgqe2~T_N#H@VSG|7hkZW_LVtGCdds0GX8IS3e(2>=d;>ZbCo&70%?-ZC#W8!?3s7z8Lo~OT{yTm#+lN}r zuS1N4pfF%Dldl7tUBm7t2D|;1CGj9oSrC?=^tMp23-;@JyWe@7G{I}Rc;p3<{Z0fi zxA!(X9f&67nX}^4zTa2rVW5@mA}d~MYkM+Wua0mM3M$}V5+g&~(zG8+Y=YKsCJtcm zP;fqzKo&Q5d0ST%;v}Ub=l_M%ZhnDWMFca?%-~J0&QuW@#BMLrLut)Kkbz=4At=6zF!q3!LE_RkK)Df;TPea#xL6-BK@2Um-ey~1 zS0z>5AXGd%7VD9CaTpdPrjA#7{^QZbV`FU#1RZbwyDr3%J`-PHP|IWFyZOE@`*X4b zhFGQI*1iFE{aW9Zd#y10O$27YSNkRR9Nh+Hzc=rPxuaP^aToa8oAqc-Hl`w`xn7;C=yV|v^YZ(seyLAdKNx802WR~z#5Ui(CGq3Q`EPk z393v8vp5PwG49;GgQXMk1|j0kkv;z z(J2HnHB7A|u{#+)Y{KoyxDmuQQvngr$oWFL5Ia%z&2q#rNI-4u!mw4#l59LDXN1Na zOO=dsu$esT+-_@5lzWWry_EqE;#xt$bpJFMp@9aXRsNLcu(@=T?HQ1Y^z!;q111KGk% z(rGp4_*9wswJ}MFbYPv3;`jm`2$8j$3y2A#8cz!>om2W15Uu@+k*IJeLvpgz1_Cp7 zdst4}jQD|c5Ym-N?sb&JuS0iY3Nt=zO~uwaBEk6#OX5Kb0%n*aeO<*CgbAFOjAiPx z$%>4pHV^G?27?LuJ)#>L$QV(xVv;pvpKX%8VoR1u_C+h~ffDYD&v~TVkoaIG_9*q< z@2OWOEC=x}If&P=U??o`d!ew*&j5mr_~#)QK=4`~2GINa@$vnoBAhr7r_C|@5aYl@ z+1nB$O^pyYP3#?XA^Vb$nX!G_qcW_WT`Wl>MHe|p5)FLQJgO~$8m)?Si$^*|l&6Az zMfE9^kSXpn1Y4NOEM4j*=|v=RJ;`BdL}aFDUOY?u(vC+FxFoKp16+ZYcrU2=Yc3E=fo3-3I({@}G-1oJQB zUPi@!8ir+ zJJia+$beC;Zxq9mn7Sry1BW9{RiERfrycyPP?eGC#?V?Tw<2Ak-h@To2xKJ*LE>z6 zfC(IM6q`}r0<|p~=c=t{Lnt(rcwUph?>O;1e=xk1g0dd*I5C;{OfE8d(36o)Q^@E~ z5s32)-zg6{U3q?L3cz-32xp9&TND#{Xz@q^jf)c4gyB#`M+lc; zdQfQ9j)nIj!QAqIHUiN#k_&-Qi!P*z7Iu7wRLCSO%TAI(e&+ZzQaJ;^WK@+`5y?Oy zn_4PnEhe*;INGoz*xVOTQ${3eL(xdDY0 z-{9H9Jjt}9v^al3T4G|Q2sgld&I3yf!_+3lC?B4Z8XZV26{laZ4q_{{APmxOq(?M| z2_?W5gdViO-JWp1A!~?2 zJU&6SyonSR1Tl$EgwqV&AAp-(Bu)0t=#F?SvDN8vXOKO^$qkT#X1gtX4c6*;;jU^s zATI+EO63p3d|SAN3X~IfCbk z(-f!hO#m=3R5)&npolKQU%@R!!QlX`e9}U-9f1ousb`&fTG%RMmT3r12#>8cq|Si} z#1?4^C3P*8t)cxI+CQt%-k&5tp8F(GKjXt`M@Vo`J`y`9NBmLJe>(cpDA(!uaCz2L zOLA!`Bf%xVrjO@d6HZ6e6m>}{kNBnivOgUYiR^@Cda$n zIz3kDbQaosckZm?0i1@_hIB^&^FttgyHIWJEH`iuM^I-cObPIgws-Q>nv%Ry#D5ej zo%#B9)%Y%GE=2Fv0bf-4Vc>lauFvHLS8qMSUywzx+&i=?>scmFy#;|Yuk(QaJrDR> zdRG*J&{MsWUvUbC{T(-Krlu-}`{1?zkmI%fx)8wt9*+VNS&WkifU0=immlU)Qc1** zQ|U=`$XIU^P-RaIG2X}|fwykCw+SV^D!~P*@7KF^fb7;sm`88ae6g$23j2l8ohTl2*oUw{$aOc4*de<}mnGLAUGum?*S2n@uQe8k-S62D#v@zao=1SSv zUE5R41e-!(F}h#)Is1aUaGfd9GbIJvmLI&bH-ez8j{bRdZwvE~rdVLK+xAzlE|sUd za~N+E!Y5eR2Tw@FZY&*w%S@RoT7E}wlWARwxPm6@pe^?{c002Zub6<~z1(|2{N_}- z)oQk;jAg53ihx&VI?KHq3{Fh>QLdIzmU}Nu+(`^k+i@d+xyg*%|Mm;wHxe)RHj7vd zKve*uI@Yw@yPmAE3*inBFX8Vi%Z=sUO{}uoDow#g#!9Q``zalI5eDxAitH zlowDh+;J7qAg@T9R8mIoo0NUya=Wmw)Ty8@E2`q{T<+b>CuIV7(sff^?rp&JiI?oU z8}QuJnw?1u&ntfTm+J7$i6F|J#Q|0=cV^`qp!uCV&G4~}sFVdNDs?K$4{qqa5cD=b z<;c@50EZwkwSrTvtPS6racnP~(DVIC=$jvi&>g*JQE9+BMQ;}(Ju|*hwto2#L(=PU|g3WjN zSa-U&!LXAuk!&-Yhk!UbQyqFe!JdFPTQDi0R!4GPfo8MqWu#X3Zde2fq0~g9Gr`{= zJ#FmWntW8cDI-JKvE8eC>vn(hJ-bzqFn<`S0m<4mP=8uc_x_KCM_R3d*H|VLtJ&gb zg+4FL=vl5+aodSDSMGKlfcUHX^qU8LI%UKGAMf^VjIAHdmGSvhSk>n6xzx!n;YOF6 zGOMqPd{hO1FD&=2;YIWNSnV1-TItn3h;zS&dgsrneHR0Uf2#I2{8M`if9z)+*WaoA z8q>hOTKfak@2fHVruOR_@#E9{v3xClOz_%2U56jX`P-vt3sifIzkQ6qu^43SxA`th z)z*F)gVmUeUb_gdrG%5#-VK39Y+1EmO zJZu?fz{48920TpSH{f9$t^p5?fCfA?lnHohBFycmytVS-$_FdIQTasWuPa}wZ2*8P z|5DpVIB(?-#>v&bl|Rn%2eS!k@8pl~;E#{+$4~GF%jee6)a^Nv7+<@Ri)E~A?Zx~- zt6l9r{-B0ZtKdhscYVkl19GC@|>HKuF?)a@d`rO1t z_w>fth#U2*^3sj5@gdH%I+UMoPL5^oJf}B;6I%EYSQ%P{SZ4t2>mZv0n;ncycRyXdbdQ@JV!1$Qld;@k6+5S zy%BainQGU&bA(`by72ukGKDFgv)sFlqT)2lceQsy4C_i*TgfII9~u$Z$OH{f;LdZr2y$TYi}b?aVs77@P!SCm#f1+(BR~F{uqha zzJHB965Q*Rt2F_BWAAD?f`VJU=ykBac5w9A>JTU0oTKC7$Ta+XV{aW5RJ@tv4XY|5 z`+>p0o#o1w-o`1nEWl57fMas#LB@x(w>MJk;5?U9P2sFpkr`rz*QmgZ->){D6TfXJ zbr<{}lnw=-`3!!c6t}Kg+I{zOw|7maIL9ZKSw})NmEOsn6(s8K>@=sVMQl@RW+$`* zfPe;R`zxA@#eU7$)k1Y)sWH7=xlJ`L9GBNlLx?zQTq(E8^K(E&*H2= z%)O(}Rc&xLytROZZY*TeaIu?@bnDe(bT1Z$?SVe0qC@`;Kb8CPPvxN07vFmH=55#- zOeIi+k#Y$4#Vrh*(w^f!_3Jtj%kUEDQ zOBmuZDu7rJI5V038;d>#he{t$j9{{p>J?zve$gLHU$iiydtft3}UzV}_ zEpV!FP=Ek-8W~jA`ztFgg**LAD?Kz|z5Nu>zu=80Z9$-LpTCr`(3fW{bYt5MrVISy zN^|D|zpy%}JOVTZfLX34K-z!FSj;Oj7Bd3+)X{V`|CDDn|8u2>xLyCFA3gJI*K>W` zv$z{iH4)$87hAg>Qdh=$zd2*Q&-I?-2{^wdIx@6fxybP=tqWUOyA2aqo!#7gyiuMw zS!s46&?J1);WDX93|{7*T^Y;V+{CbL3_D?5-EHN%wS6-6l@9;gYI}1$hb^wX+<;=x$$ZmRP@kDV!FCU` zsT{B%TD&pGbC(6PjYm!%KNcOOozyXGQ7<##u_pr_8*A-m110A%o|3?~CE5oK?4(=$ zUgVS7QrQP8O;iqwv}gmA4^J3>pS|oXS?HZ5*qS>bxL@80Fs+wPRhW9EctHJf*n-&Mcu9XMp~$* zS3Xc~$nl(Cbv7d)!!Y=j{hXzv?1wNIWwY#uI8utRorfaRJ8sd=m$4IB0%%xRRB`X2 z9MHWRP(u&rRgzq8IskbEy_H~bN|CN>jqLSh$)qcOafSC$+*1}`5!Hv!)`J~shrg%-VjInJ@8kK}*=3E`)6 zJm(>m%^b*%3}IzIhw;*wNDlcWJskK;*?`TGgv0nOMY1pE00}|&g&faa`cgOVpE=uT zF2eC`nzx3ObtTJl!i1Oo5J!4!rD<`b)8XFxG2uzE=367k#{PZ@O~k={ zYp>+yKkBTo7&}LW?3Im(m1|%P9m?8Rd(*%jP8u33cUC^kY1932oAv>H)V>aDgtPli zz6yflLy{D&u{A~zY)4~c*4t5;WQG+RI@*kr3|-pZOt7?zG@URV7huw4B|6x~#WyiG zXG$(WUzRc{#-fYR?g-g&-s8kj8VnAoqq8#Y>ZUgwd>{;?VX5xaBmuU)KxG(~BSx6G z94mtTQ0#V|aj44FQf~II=iCA_UioPS#WB|U)I2DA@)0(h@ z`Q!Fctd8Ys!W0A_Aif4kDFq0CT{0xSK330->O^yTpkA1T=DojSJ0=z)#PpCL0MvoQ z0m!vjuGc4KT1B8Ox~_{^jTsQcDBHM2@fR1njR0}sx?nlPvcbd{PQ#$atOiq#%Jdn; zpB57#t@=s^YVapf2}Uz)3?3>e_9$453rLDEkTn>s^&{2(WRTs^k;BGk(SkkFym@G( zc~K_POrHw-zG4g2BP?|^Y?h+Q_+u84gj14XnQo8FHo+fag@{fbI)G;M;&aF4{V1SU zMn3C|^W8ofpYniu$IyTpJtha>ZMEPKfwPf^B?8qY79;LTs=XiIh+l$t@_O_$V{Nu6 z@s$TI$KKB$-9I_?(4k}ZpL!tL7wz7K|Drph*V()&`pYbQO(Y{TeTwIrRa-j9^f_yf z2vwt;bYpB=p|F#jd?(Yz%7xDP&bA%Vw$`@o+$qK`?j4EnA0j6h$w>O!CzmDWer)?l z?1um2(Y=12rz3Uqeq&DF-~*)9AH!Cq1?oA6?FN+%ARi&}fuW#xAu9G00!;lOv7kDH}wMI3#(D zF~1rl%dfnTqskXdQ}G`d^p$mdJ!|}pZhVCP*eR9D=OrAwd>$wwkw^?!x?b+$C_%ni zr^ra4l!thz7REA|^_yxp>%7g z8N9I}1F;XgSu3D{Hh!DE!br`k_6dA{@aVNq<93{HAYL%!8&_uX4Tol#d}BqNdY;fb z55Hnn*~W4Fwg0dpTE-KO5Vx;eB|?1o(}3tpG1@8+BE~X=c*mgehTfrd!|agz{$=gZ z{no=A6(xpJ0%cYLk_1^a`7hPF!heDR=;>a(PyHH)1j~ex&Fmme9 zKE`GTbIS(r?tAp{(N?ow9^D&_vP3FMy^dPj3@(|qUpPIYhu0c#pAg_WzHnl- z_`>v8z!#1VqT}HXXpCj}!jVDa4b2y>j`M{(GC8;VekNa7S>ijUjiGpkH7?L?Sn>hkuoKP-i%!|_`)M%6vn6&3G^O-V;G;$RR2KzmC8JZS z=3+G5xDTdMXvPx{7Dh(wg!iCG>$EsNrSYwN)lO9F=uv$DQ?E9S$*Xz-${Vd-lfCuPHg<`2cwq{4bDIMstiV_OaG%+N+I7M2<0Wz%)bPj(j&0XYF_0YU;&Q;}zj5rXor zTx{eU(c2EuTFC_oHOPL29N=rZVCDwmk~@vxW!Y)qj^Q{HaA8Enj+quU0=}yBbr$%= zKn3tp+OcDY^Dd!4O>4>SP~YYR8~}E|j#&)s9_Ax8k<9q`0X5^rRN-#wd5Tp7mAH&2+(!ME)!L}{AbkPE`^SU8I^0IdXlA26??zma^41%oP@|>(>G|T< zIM&u9I(j-^to;z48e|pE=7|;v|KO&4Sv*mv39xz~TrN-C5XaVanb;c4z+IGkuj?sYqH+4`ge*rgE!2tOvuZbAy2(U?bk2PX$5#>!g5wxAeZ}=>$Q)MxCRwm4H7avfmZCf(4$i07{S?XWx++I2T_2lE+J(nBe96EM7j{0P2^k)6I{f!CK$!a4i!`f}+7|xlr_{#>Y=c z%xQF}F$WhgEQ*j@4v5nfWgi7u4=^~Dm%%fc^bL%IQ2_?!73j^E3ghU!qPiKcWWf`_K@G8ocHabuj1dtv6L? zmU~x>OZHSVeolEYDH!8-ymYAbK7fdDA4t8Aq&OHzU3mn;ph|}o1cNIcpnsejXCMIn zwF-bA_ek@32h>1enmwr!ohyhTR3rr=G|rp-0-8(oYX$8oNRzI{3s0tgc}5~JC@MK^ z<;nV-2isS2gH6x$Po#qET0N{xxtXw3QdpYA?qGPy&*kg6=YmSzEVQS)_-lSjU-P?| zUxuB$8-tCHpPWHUnPPN5m@Iuvlpny?Py&KHnM@XYrP&0cB%|Yjya5e)8a_+$(Q~W$ zEEH>T=~;Qf?Y{M!0aYk71FPV$LRU8@{?f?_ITtobe42dSX3NaLfpvjLMO!2VDb*^^xC$jZtIud_Je+7 zJ@^%T`A@0<_Sf0H%Omv%uWfX%4VL;RFAC8fmpX>g36z5b?viF-M@$wCwA5^D>(DY~ zq^EXwK_aXj;zOO3w|B7Vs6~Bx*(Dy%60Ri)-wag<%y^!qnKx8f{OSn&fH-Dtb4$&xyv6>AX&(e#LWq+AU53yC%JG$3 z@V&b*KS06}tYo-_!}{s<@eQuP*aa;lOn#CNQ4}U(OoHi3&C3&n8|MU@;yb5|AbHs% z;;RzF<>CXM@q9q1BYfa-;R7*L0sgNc%R@&4Ht+Rmh9yb!zfrG40KEd&D^({sH~Rk^CI0rj8p!EWYg?0jG)m* z(2#lGo~qhQt5~9$LJZuz<6?tiHUuvUFbu~S!x_qj+0gxHEf#8_2;>*X3XC8VON>ob z{H79A7boJ)NeC$!_uue4KARXabL&*S`*lyqIweu>{>wM|js*0Ux+flPy6*gx5&-Ru zLr_Zanx~XN-%D8gYQG1eyY~C|L4lkKV{nvvf!q%u)w;dT7*-qXQx*f+KG4uI)Q$8q zfmZQIzv)4|oEtTvf{fz~Q5EDr{`(|^k(1~)Z&2F`~;@4BciN8MTBN2yXe27o!s zDY;L|w>-@LU2d2WSagYeE)7^|&g_(QurT*)^7*I@ViwPo(|sB@C*||^Hm3)DT*7VVm`%bStnJ$& z+v8WC-qJw0FaSJ@Fkb`@!>;;j^U0A5Bd^>UgTd1{on;M6*03Za>B(?1#FYF77}=`C zXnlF~N{0S?#vKH40c^O`*&{NV2_5+4pb>|T(Yih!_41<3sFz>{{%}j-*DJ?pt#%rX zJvyjOcgmatZ8)IDy@sNnpVYJc0QcNK-Ly#BjCst-9Op3xhlo zDB<~R1Va|Xx6;OtZ+Q;M<}5G}(DMB@{6IfN;G9OUhF=PFPJmn7tC z8o9OIS#%4KN(@wBH56v7T$n3BsYGaUX}kB$V@B|W?qnfAjrlS~620A&WeCMOi@{;1 zMQSPz{+G&01n>sI{GQI<_60`wwiFk!%i=a zyo{I76#4+Fpqiu$_I>=xpMh+R%)x{9Lqmi1mQ>K@kE-a+jE_r25q74a=j3P;h9SmK zu-GPi79~)r*@IbFc;F8~rmc;bM02Di389#4fVN1uT3H`_Lk2ZY$yArcFD8~6cUc78 zGAzRku6TI;YGRPV%#g>a4e0$Q4>FyEI4NHH1TEfAS3jq`+n-a(g0V_D!Ce2HU2B#U z!Ph#FW`fs#*1a~^OW%7d;%dCl*!X^w@AIc+kiH;r6Pc)+bplsxdMKI2Aws zB(b$|{J61yx~ik4-SS)T7l~nWVa)S9#^|&JV=7M?fcye<0{L+$nEf9)WXN2%;85_I z$DzR(+wWfrkkAVpegNt6>P54ZR06>hu<&?)AFy@w_vv#%1>#LUxh-HQSuExzcKJ=M zTb`s@$Xo9WB7s5p}%WSu9#4Ea&q^xs5%HrpS zkD+LjM7%RyBr*-Gp<~H@7HdKw-Fe7~2)^OLf#V`{eZxB-`yF$3n^jrwx|y~Vrz}MK z+c2h*rhk0J1D-tZFQUg}BY8QrQz3x2l9K;yPBRhiy z;=D6ug{{X-(pyAew5K29_BaL#eMnPp8*S)V+9Vx(YuoIKC|}+-2c0QyPtaxMIlb#p zU5{a)Q|EySVVclQdkuQ*4ba0J7aM!m*b=zG^R)?%ZR)`XZMHlQ-ktb%oSBaG*2x5V zSG7B6f(yraX~KLzUKD^L$xe<0BMSb>I@hI3IokKG(AyYoip#U;Q_BjJwO3-y-Zi+u zlXkhc-cF%+EiO??hQ7td_Iv_G)Emq1khcvMqnNBCBq^!7o%5u5X6um`lCRxXQ~1k4 z_|~VG*!9HH_ec1*t=g>@6*8NI8D^$x%;&mU!1x8BulFv{}sgRkse)ooRmd!tkI z`c`N9n_BObdI#-ub1at&4u#O@4%*tF8#m)UYE5ijo7gtRT|}=tznR;xnb<*)0qR9j z4Zf5$-I8bZev3N%e6ACfb8f{aYo{OfrRbqebaBqhr-vL)s4jy#RXav)P%Qhs)biluQKd;=%5HcZeLQ9x-{0zyn!En)!J zM;!(eCJ+hDyXk1uxXK5dh)EkaCn4=Knmo<{x(&l#X^1Ho=ZW2m6{Mw0$!RgkaD6-aPOIBsY&_DXKo*kG*Qvrn)WJhWE$0iJ=2?US*Q@i@4ua=V^NO)@NP1%E9Yqhb z5FEdAWt-Iw&D1FS9n^zgl(k7YkE#jk$Mkq2k8(YucpVxmGYer2K)8cI88Qk6_aJ5{ zv8B&jCjU0acB}6GG}~}Yiy4&9ge{k)48Q4Le%lAR?O%S|4-c{No;CG`VNDW-G@d5q z=k!~IPKwDrKs&Gm#9%$SVMqfi$U3?ANiHC}!}tOTi3OKZ&hFA&cp>ipOu-*6U*p2_cVvm3avqk)=z<~lXvKCR^6(u36?RJ+C zhgT2QB4|0H##@LTpXoHGF`?bB=&K}aD$+u+<$VCx4nI?E%}8}tOu!0xcG=ivOSu$kT-jk^FXh*^9?|a)z~@U33$tLl1D{Eb9meovg@r}gQ;ZFh z6&9vz#IC*2!T7SsD;Ux5+U1hhO>y$tlSy8|3_N*x=UZ<>wDqXpifYGR?aT{t+j`bqC<`K$&E*uOlK9!tEO z2_@sg*?Q!Z2b6wXTq7@9X>tC$`kwAioMO^;C-~^>0Mbpq#_*8fwHfzXMtI1p_BUv1 zg}XJ_I=@l5_wS~Zae_^IPXg}oO=AKo8hgMjT+*EjFL^M2ATdm??R&&;pH5@g?bG-2 zZ(s1yce#DYoUTM>1h4t+8;mUdkr~1M2Sn{d6K;?BtR=3F7WBC;x{^R$Vfd%>>q8Hg z2s`SSj(3`pJE%<1fQl-S3C1x3%@i#{spkm=nouB+xlM>Ku&0W7exci9!)fX4YT``c z2Z7HGOan=Vkw!|u(*l(fA8DaEC7MKw;%(SAq6h2fL?4Zwba)dTmr5e-Q8IVyVhENZ zK@Dy_afkkZpd}QmdC4;gSg@b>gNxSm)c}|$(N7FRqH+#RqvCDqW;luCngY&F1w`<1~Qbgok6$#`u-p>d?rn6Tw?3(ZizZQvY@aks$RFQ_(;6B zgDGDR@nGaMdhh*B-+GZf%=1~v%$CrgPYyAmAb#T^6wXkrOK`696ygzynBjvANs>w# z#2@3WM0p>y+$$N!xT!P60<(duPhySm{35C)qQLbu`Gfyv6MjOezsS%d+mQz?WuyuU zOSz$w4r>W9BnLIS8iwPbfz!NcS)^{h-rqib)-1lRCwSE!H@`9rZVK&nJYuGz&kl(a zorWJ7Io@L3OM|U(OFBV#xR?C&zc%#r&!tX(2od&m|Hp%n$N&ldc|`DC0~v@1LMa4}*bgA`EcHvNqdBqUa} z#XW>q6-P-(=~U|5QivQ>jU$RNKITD5P_Y#s8TQhyB5w)Bo-FBOoYb9vV`7sMJKr}M zxAXmXJa}gkgJ!}>1&}4b^ExTn`TISsU*78d{B->M+aFBs^+Rlb@S5NL!5l_(rQQ`2 zuBvXpGt$n!$^QW9{{c8~VBaX(;$dp@fnNwNF5rq0N2EPt6V*G7`ec<9#xmjXaMBaP zz`VL*3?OjUF&GR2nJYTD2tBAeA3?mbwFN2f1TUI0WI$i|(}1p0sxUfv=z#50h_Izb z5bwP=8mn%HKGZ=aQ93H2o{d#;1^zB{9t@m%)|nF|u6aW;nI z3_pfCHt=+b9%aV~KtNs1jutbbiABy-gant(peb=GlUw<3nv!EEO(O_Mj-Z530~+Q#a}2F99q zBsfgmSaU-H1C(j?UH2^E-H8FSS(XG&Z$0w%f8%r}osh7s*(V3%a>L`6bktO^47%;1 z^P$y*&Xqf&+%w-|XYNTyC!KP~&-dq7bG|pH6RZE4?tT8_BtRU`*K<0SLNC(fFCel+ z%D65pp&&KFvzY;n2$JYth=(*l)JNoY6Uhn1s@^oLZ)9W!b-3E(%!f>kSa6{+_oDQ) zi#-3GQWm`z;j-<{qhR=_S-dNF!m#Y{zVynor^FOzGUc1akNIDx7z4YPX9()-irgcA zY>y^h6`!7Iu*WiK{IZ=k+$R3i@`sOT;0sXS{m~<3dkgZej$s(pXYzJ*qZr6e!5=w zreR1hgg!LN$Y$&a0&@(&Vk4S@YWi&SxEl|LWNUOs6uh0-gbQvQg!AbD33j?KhB5M# zftqbx=z*8ku3P}7M)WlVW^Lv*1cs*Lu#H&v4S>Lg|HEzlSsXU2621DK--9@DTkZd{ zhgZ_5Fl6+qjAneNzddNgp`%y7DeeYem+1x%X5de`zzx3HSU8Hbm^K@G({1H{pE%0n z3hH$Wp9 zJH_avo_=k>5E-=$yF}KF>FNNBXrm0>(256QFoH@FW8qLopamlK6pWrW1KPWTBh@H^ z3~{7BC;Yo*)g@zp!U-hhUnQ%)f|x?1#q_CS}Dxa!xkYpAtY4Q0?;9((e4+^-}F zmca%Qbs+`Ic&-IQk~^kF8U(Lxajy+FxlW#j-aS4}qsU>##o}Z(d`UL`%m6X=j0?P> zb;Xz z@IvSsTKY_PTV-u&xBL$LW@6Y}O!+4~Q`Tt-Q#N95F8Bnv zu0y1A?gUn^gzH}zYCV=q4_Z%Q$ZhjrO|EHW#17{035TJXyCJU3;5CofgTK}v_ZLWG zUf;PCqvu@^(~Qw;${x1HPB;2`BP@dXJZLZQYv zB%-m*K=3?;BqKCI$#VWHaoyNaK$~olAYmsy{Y)*T@}%`+(cgn~xh}HvATGh@W7I4a zzC1mfdAM01Gm9oVKWi8y?H?HiRW+jq?`^kaI=KcuW9=Rme1_(jU2@$j8GJsvbsY^p zS75wV$X1cjjKSxh2heqGXoJu5;|8BYnFgO=2ALGTa=P+cq*3PB=pnOJATy<@y)a+L z38LT#&$%eJkMzB7eG^%4n@6^59%S#SorFWTJ68+cK6OaYZESVWO-3{5_7XQ@8aodi zR=szp>}d4pw*839EJN#_DQw#jZ94@isEF6$g4j|kcYH6cd_%En@6<+ZdMyhD>kNX@awP#E1(D!}For;(X}7Og&D0LwZXaR7XEhPlW~1xgTAa8U^`B~$!B`XQVc zjycddt)w9D>GGV}DybbwmtXV%k|>z?iBM;x=Zly~(`%~<(Qw|zOS7gVBhnX9EE~TT z&lQn|PtlR(oGn{uwO?)Gr;(Qds|__*I{pwljFDq4BN(84=AmL^?m(qjZJZHQIRjg3 zy^0PbuJY0lS9IzTBa?gdvoppNF=L)7yB70jH`4>v&U`MZxfMdgSc1Bm7i zqCa#LOtRS#c^t7jA<80~9-y$dmbREOkjHT& zB~frnRjM-;ISJt*fs#~`3>t1ZPfToU+oZ?z@1At@E&hk!FP)y8 z7T@_afwfTvKG#y@4^`rzBo(%toQ+O$C%d)DykjL z2yEhe1A{?*UWinbuEFtUT2<|-W(*tTf^0l)kQ+Wh4Tv&ca$EjKUF1b$2$`r?&z7Ty zyNw2AI)oyeXMuf#^bEc#7cn3sB0ESikc@wj5fB~r6Yxb?L>TB#+~}!q*x>@c~G8Xi#n5OhDFdm8J)s{O9!D3AU6Ri9Jc>~)g$qJ=8V~Z zPkBJYpriD8@{2r)!ZF=^ z3>f+bw#2^5l=|*Vq13N=O6}SANvV@x!;!p(orY$fb=c|IqvAw<_81`4MTbzChel;5 z#J=D)&sAfEg?qOzR2RS=QM0yQk0u^_1hQFU4nd~X#za#xzMOk2$CGA>FysGQOfqLe zLvP(QJa5ajpS=p5K7I~AAfD8I1piu#`ITRW=z3c%nE(56Gk!3vb z(|k6l%pD_anrt`!9GGpnV8jV9W0M-kr%#B4ajFcF7&*9ES!z>mu%{|t4SbXW)I(|; zi07}>>+^^R@emjjGk!b+ZTpBM*93B&c?&-a>BsO`EU3)BZ{UbrJp(oS**GW*lH{l7 zpU;bnXS|J#YGNC;49I%heX<$Tf5t{DUFa6fRC_#`pf(yjYZ4Ic^st&K!F^0DIn}oW z0_qeV6nMxF>#K7w7f`haJwcM2?V@MakZ}zeVUwGal+_DQ6*4+r{h9o{y7mz==|PBkxWV777B?8(CEVbz2GQ0g6G)VHk{va7Nw0 zCtzf=1!FkY@8k;6Ab}8kA|eRw){Hqo#?{*)BM5bxn7H2>@7B4r1_`5aezB0rFM=6( zei2wOBM1dggCN3aKeGFv`m-Plt&yVpB`ou22B~=4&!}O4w%LUh?@{(8JUv$FbQaos zckWzRLRIue!KuFml=aw&vRmz)Y#M{|g5t>D35~0>^A208wKM@iNg8Iiw|n#bPkw_y zD)1mYWD!}7JaN0^^9F)ci8xaB%$^M{|_Z0_kvgJ9_rd;cn7k5s^W3pm!GX?7urV?BOf^A||W8;)g%%(Br%87@@CtauK$) z<2I@!dK^ud%NNeTLm^QnEV6aRxRC4B=~fZ;f9rQ(fjkDg%!o-}I%lcNP)aIk1wrOv zNmMi)goWr4^q^%$^>S2cHcLAgY$qRL<;t^d7St=27@VscjFp)h2MhGjK029YQl8}Z~nby&MiinZ2g(0~G*c*xS zjo^zFsG;t5utdxEy@P+Dxma!iI$FiMZGwAI3B9+`0Vbf~A4p()Z9I(QdG21K>fSi2 z8pefQ+0_QoDrg>E`w&MnJ=CuY(L4CyPb5AV=e}dLZ^8F_>-gFJ#_2!KchR>J|AcX? z>;=6CEF#%mdp$Oq{nKj?aLk}hx*b1glzzp+^1vSH7i-7(etbbRxCi~wPm%s_t0^?a zarGw9{L`MSgHYr(!hT{2TR^?Kr0q{G#XOaq{Gpm83yowElr@T2aAXaUErCkeN4xb- zl__KgD$VLlIlAAp6$j&D_2h@q;jl$-IS&PfD}g1jFyH{jsVr0YOQLndA0)U&Je2$S zgXf`AR@NgPieE^4CeEA^5{)Lbyw;!nI!zG`zxmQ3;Af;G=HJ&~I=^R^6Ee#*bYPHw z@Y?UV*D`|q-^BX(bLI24BD!~S1*aF0;C^=i_oKdbv9-!`=-kP+S*(N=FUlJh{Q7!g zcj8EJ`-;<1T*&dH-+(J`FlGP!j;J$Qnbd>ne9i4`=0YTt zKX@${N*ov;ckw17GjjhAHP}ET$pU7Z3{YcCP5cd~y@vaKM`8=&`@ShYf^Ks1vWMSz zVz^8|D3MS49o6Z`j_w|Qg?=VFQvRI`rV-g?cJK9m_sm4T|0C~sj{H}-O181E@-_xj43*&I!d9lnU@{L3 zv4_EHeh&wKtv|6Q;PAnL@8g;O*y#sUoHW98zF1?lFdD(Ns;I;Z<&-Bmk`vm|Sh+BV zHid|I*?$;X%eiVXI)|Iv3(VtSz%hG)N!BFQCiLrp-gyq?l1+%72_;m$6EcDA%@v#^ zR$gGZGQSd?L?J{-8OGeEQL;^_fDLGy$X9Q75jE?Q$VAhHa#n?N>RY0No4lH7o zVxn4qFDhCZ>QBBJrW{eQp{s}e79XejYv~=8#2q!N=R%SM`uSu&}a}6`;VNcw2v?}G$5it?CKQTu>T;U7ZUq)na{$| zQJtwW9iiN4cIPUT&0AfNQ`6XE%QbHADwM^Iohqd+{`xy~(giBwq6wC=x2thVBN($Z?lJUf0TXkww!_0b5$k>jX zeJnpW%XZ1WXFs;;w%Y$`w>c>S4jDBhqZv!U&kq`L=s1C~xZiIi)9)9|z~e^cT6LJ1 zOop+_X1&ncu|G1MkkE`k8r|%TR<;2Q_mao;Kgmr^@Cy7>;1&2##ZlBBIl!i%{EFcZ z(r@(C@e{!D-Me<#2p;?~i*^dG`Wg(-Xhp%?vI!)_mg_j1aTq|KMw~Jjy!aGQo9E49 zV~_5Gk-jlgg;D-w2eG((tz8&_R3{dEcbLF_+Ld%QG-gGoAf)8t=xUVb;D$U`e)Y)6 zL3@916hw?Zx)*ajePM*n9!Bi>gVzEAwHM2_Q-O(|-4Q)HdcuB&F{sDvXGTwNAAwK- z!#0L+!;L{EWeBUSIb|MDLS6${Zh$%N^mjnfoU&FnclzkNggbrJp?v)K8In86Xofre zH#cGm5yb`7jfy-@1`V!w(!O@H1Ze0tl8p4SOFUUnY~W{JKwUEdiW}F_;rWu&%av{T z|Mt_%y^+TB6xte-=9X)>;x;`E@4G5CO|X6sint0me2J&=IHSHclTj<6Fayuge1Jyp zf2kBLX|Jf?WVo~B-BXTM?Q2_fW=2fLn)67((|Ov22bn`1NBYVpV+5`{zCr%vIR|u6 zlXovxD8t;$z|?W2Q?-pmx0))rAEpT(9kY(I_R~K-GT)teJ&tQ3mJz3{)c2`hbZ3-)UZlRy z*#ybU+!*wh)~#VjX#fsals0kYN!}n2EM2U^I!;CjV2OGhK+5C3f30>U{C&;|+1pVx zso#zU_D1vSEioIZM;WxY{`iJKbjT+WCGDNo4V%2|0r1+~*aE3$E7nHG5%c0d`$dN_ zCmmn&JYe!$Apt3!n?z*L9l9N6IRelNnsSGwc4*q+epEALi4vyv zFS%a83+(E}PsL}&32<#^YV9TpjM%i-DheN2^9gvNibJ@KD2Je1tn?(*2iJhf0tN!i zKy5B1@Hoyi*AeQ>ue(OoWc{=-%v)2oHo@QZdF46rscuj#(CPXM ze#&oM%_(ni=;l9=oTF!OX`Vw?A`AfH`9Ye1wt`|mSpwrQLcORqPO*6=m6eXN6sBl& z1#OAQth!PnRWM$hmlY+%Hk+m~S^Qdq_mc&0LtT)WKM3kw6&366?gSIMt@eYK8}#WF z!zGHyXhy|)-=GnPHUJgkdc}2_dPOjUOdhhLrKI=0!z79*m0V_?NXjraO~h%RPq%3~ zl>GE+q2!e(1touN5CRQ{k}{e>$zOFNrX4CV)A0T2X(DfEFR&K%8>$DIt%U)ltb9>Y(&;q^11@w9s``0bg{P*6xye&rkC1VJ6As5jDQN*iUk|pX3lxyT6X&%uxbldOQ@x<_%1gvp`FZKJS(-UjK-b)8|VEfP^71!eig`ga! z#meA{UsrLcby>6VpmohXS^Mwjp9Dg{i4qwhBqCZYg2^9pM3lLm5)T`^cCUMFaESEe zK`_+u@nhmDm8iLsrfMT8EgD#e50=4)wC0dh|A%;Bk8Y%kmRt2DQU`@m712mk^jrwfH4dnglHC>Mh9AypKk#TJT?g7k_lNl2x!GX5n*{iKeE;6F>} zjPw)3oMcd8W)0+>VQ^_-Fx_evOE8q$Qm3rdTxNMcP99%JVpJEGMD2OzJMFopHhpL$G`n5m}}7d^m}`?)gT384MIIR=u6V#0TV*Y0(%4dy$& z?;0P!uU!6-*lSGbL<#E>mihaKN}xEK*2k*rD+eAVK+dym&xOkzf1~GqNcASb`-?L z>-8lYZeh#kmKan)!NgV{NA5B$BU-53_;DeW*h0d64qXT*_#fMQz^DuLAtjiDau8#x zC2rdkv}S#538xlAjK*xFN)fjvARgyNw+?`b?&QGxeoMC|K9Gs~%BAk{+o=;2F7=yx zqi4ugcmU}Fm7RJb9pr8dpz~aZ?3r*Co)Wya#l4nsh`xV({Gb-KhJt#mIFGZAXXzt| z51KC*siQK_-t?iR$UR#v*Gs@xgx}i$E+V_>HDgfS;x9UUL6QpM9YjhNk(;5KCFy1& z!?<=|QZ<1!LsQZC)d?(%qw$UX>rf0%yXE)hzQnMZKvv{^xkp}|mLTu9J@t_DE7O_f z$GZQYy*GiA>niU=jb+JF%a**##xkPZ2CLPmTCyx`=paC=E!nb-)W(_!)2i;O?y6FE zS5u3m#v|ge1VoC2K(muDAt5tlB@h_G8kRspCNGfi!oUo9gb*MrGs#QdWHL$K|Nouk zJNH)At$SN-V?gFdtGnu+bIrj?r2IiIfCBD^S zou-YF;}H`Ofig3bcO@{4-<((_c_C!6KJv)mq;O~;q~Y0M?J)i1cAHr|A1^Y~3znZ~ zFC`QkLTU=Gp;L%iGF8`!y-{J%6*H$}DAa+O@x2C^+3}U0-&}0k#Dj2{`Ao%3w=BWT zcZEsHk6-BO?%nFsV{fqaVg~FDhNZ#YW2?mAaZu}2kzXE^c3Waegz;~VbyaZhH`fZL zGclrv9bvYjrq-O~GU3-^p;&_tY~eC&0-|3Uu19u^)n`B(EXE?HPjnLybpzFOib&}K z1(gc3Ia6P``_<@);>a z9YoSoQ~=I)28s%XDMj_xc{*=4ff}Q#zD`hmN91O+Zh}{kd4B~dxG-~CLI+?84Q>wU zE;U2<%}v)x!23!Q(8y`_1Iui5_I7kQoPK~F$EQ;xI9xa%4lY7_zT+=KpYW#=IEy!d zL5Bwsrr6 z`+@DjvN~Ni4StIL98Q7&~0b z9i1-~PUa5OOQ=rv9B6Pyo2}x4v%epNB?A?AaJmPWQQXYAB0N<1_|W}9t}&kKirIs% zL|wBm%j$G9r6#h+3MZ%JoejS41iTH?Xte_$p;0-JlPUcY?9H3853K#;UMoz(IQ-y! zuq4z%im>?PJ!W8Snas#l;l zfoq-wjhcvSzfiLVbaaFqM=iM$vYeSy_M#TD;@}JA2=>&$ybBO4ATvZt7>&Z_h>)_- zjuNXRfa$aJ<@khUVAJyeGujpzdbXR<5^Rse&lJfJkJ+g*{~~Zld@Y8w(aLXww(?s7 z1_+0*z6%9qTv}%JFFB{F|8_&~k-;MVI<|c{!#S{4aB!v?XH=HfZ|_B0&Ri?$eC((XXxVQIJnB=wC|2X0ZiUi)~X zp5RE_LY*!Y#fv9eyy&E}F6eOi)gB$L>=+Qday_3zdYpUZ60l$`rif#~&PN*yx@;=N z;lE4||GUSLRCvYDTb0Q;2|3{<7;R!R11&4PxmlD8)QWQYNhkzhRDiC7>mLM%G!5TB z2Z*Vp-AN~o3e zJHV@khq-i#x{>>3_xs~$j7p;SM`S=+b+0Elol2hOQN@qlvDZe4GZwezY%O=Ge&d!c zjPHNvP!R09bf9us{4O4;g4BV;@w@&c7r^rldmbUT>qe<8>K6>#>4)_;dLO%73^@0p zbQ7q-t8mb|tgD6;2@TU|dPc!>UkNQqWEd4Fgq50Fey4E5VOpGNc5CR?*dy6m8=Xfb zt4>tGpcItLghGX1gpIkX11(x1!+hHutKzykzLTc-hf5K%hZm;gOTfQip2np9#hN=12xl=9p{h4TLP2khV!j1COxsV#uv zxF?%L=!>yG7?z6Kwpw#3k=z&+MI7)h!ux|U#Fyq!e5q7olqsoiFH2riq?xbn?JKNT zZSrhIvw%(0Q&Ibcq=r<4L;`l2s7-C&9Oysfrv20*X~x;l^9*+%MbQBD^wj+($j7L(pP4n-C&r~Zg08VX_yT} zZJ-oub;a-8*BKxQy$^;+gj!HZg;a#9$eay&_aLJn{Gf79RvNQZI!n2cCTrr;%iw6z zdXdFB46?B%klq*X6K0}%3DMW+U5Xb@qs#?J6?UTG;ebO}t^qP-l|}elB$7i~DAVZy z(w%I=Y62x;7&(ZeTe#N71oTQeqT?&ogw#H`Bs6qb7$TuCbT&SC z`jVy$R{XWtd6w6-SECzi8Q~d?p#4F6wOfXhCHjG~w7-l^7DbNued^nMdeb2Rx4Ck= z#R$kRi)>h5;vP!HH=Q&JUJ^OiCxrEG-8ZRbmT3E6TIGz@=mxBsmu%rqC<+cM6&*k0K{Da_L1 z-Op;TkX}2tj3Y<~e0iI$huQXsoZaRa>&X1v^kQ`$yE(g9{Q|JN`lM@+_)Xi;I6j0m z@G|^udo>>eCAB81jb+&Th9v+^apuWfQ%@^g95L(M2r+WgA@0ELsWqW8vwed?D1WMv zZv`i)oGg55{8VE+_LMD)Red#H*Iq@3NU6>)Mb#hX`~ABeVwo;$fya+YZBgOLdnu-o zbjo>KCC_^ioD~UbX$46MCF3ceG0N$*^98spU>jmwVO^^2!6sy!eP&R&0qU-TsPHgM z&zZ0tJcTky6)4n@z-~6D1BkASH!I})6!X;6;dCh03-IeyOnug3g&A3N6V1cf!b0nL zXwS$J#RPZ=_XH8{!E`FxRfs#b6*7|?dWyoUGS`}gf`9ge&JaJO6H>wnju~nuV2Q}m zG97oY4FwXL|G+>sQLCW>?R*Q#ACu4?3a1e2B;jrV@ST-JSw@8wXYI!BBM-wO83U^>i1#%JdEjIANT8gqa1MgpM0#>L4#te&(?xu>kIF5l+@e zkN-OB3W^h>Iq`^Ju&5`#KK6LHB}dfP7m^@5K%L&()&332BN6m+)wlO;WqdBku&We?T%4R?5nnF?O%ZqI zPZw*Y#@uE`h!FBD>fU6tIV)F;wjmAcAVP6j_hoy7gMwp=mWGbSSY>)c`vZ^a;vokg zrRD31za#UBpU@M3yB(Y)E=ZGfwgki8;)nHiwzOX^pcN}`gAr*(QGFunW1y@_MGsZ? zq}`*jANirdDeAzj(8o?1MUWIKiB5?6Vl`9vX8bunJ{F^=_JPc&R?t&>p9geSxc_0)QRKH?(=zh#t=bv+j=Mba*fXW-DniD9!hMB8ZjwhR?|OR4YU$iQv! zIIbPgoQ>-kOt%TWjNnpSgP|K7x3|tM>Yvb z$?`mdUC(#WoYtT}RTM23YbnkIcN=TX2B|V%&-7*OUw{gpk#&Q%n$|gm$r_H<5trCD_&()d+&t^e-XlIdOIyPdTpg#Zn%% zSE#d{s?D6j40tOvE!^(|d@)uiks_y1mZsKfNSO$uFmN@t0D}Z&Iz+qx%jJNj64}3I zCbE(eSyyELVVJNEvbx9YEZT1wZ>o*@Mr%E(+0h*lBsqpPcBpbPRNqAI2i_xK(L`Z} zeIS5I6hD)Nc^~RzI1YT%GkJKJW+LbVol`=aNHg9V(t(PM`;b=4OAmI35y{7~yZ9^+ z9mrDTA_77Z!iH@u7IfkQ*aIwNq-qBS142&*7ohCI$8Zmk5b|Y(vJ%K;*Jdy?%MEP0 z4}m+#P*nA8fy; zS=8Lfh1ML}bfLgGXq)}egXe(eMkYa!byV2tDg`dU@H}9s$bCa*Zq=2lpNJ%M z4Mn*Z6FO#QX1kPUg3ZgiPIx_Ks#lO3rKw)Qi`cH*N6ohfidt^3V=Aqbm#T8#UT+t2 z%I`q%kpl0Tsey;IufGV=zK(2I?MyVc+c_fY;san1wlZvYNh!B!p%}=DNhEc!FA``H z%){nhi6^Br%MZ{Yud7Ui9NZJ?aeNhNGmy8U5+cZ}CN;c*$`(}P$dYKK<3lzh)-nmS zQj~BkYaxtJ5h><9JJ=!PUfK$ zmWJZ5*geUbEU*wyo5o^}?mNHG{f(#IAED*IH0u zCAkyG4zWLXGPf6(a*jU5?0 z7H?8`&8CKz!-r$t02ScFl>n+rfGe=G=plB<0fl@TtQa_glq&eDgIY-8N4m3Dq}~}Y zAs=AE#4axfUg|Lc0S5DkGd~0LMn>Yq$V6qLSvoT^hXjzuV*4`uIa8@2=VZRT5XADB zkQ5(HLO;?SUHnLwBBP8IU>2))AszvMt}gP$8>{a9Hbi0)D+^;Is<%a8J-}=;3z`ln z>#iJ>^~}m`Ik2JjI_zmjwQyz}aR#+|X|cTy+`JroP@?g(jarXL%#_NDVo&m#EXqSm z3`+;;AHHg{@qQpZt4jy7(4^X4WxC%kmPd$kPiU`$V~D{Ckt=^?Yf>rRTE#-u4Neqn}0--reytyk{=r zlXZYqWqus;Q7*lha-;dg75f<{M90Nj1I)r3?Et!OLkLW)*CDcW?3n-EViE% z`zAI;^^3s!_Bu1KuECAIG5SSpaQh0m)BsRrfC#O;fxnl-EFszUfOrvqUtF47Y+p@R zSG_pyqC?QSn2=rt+MdET0g*~^9A>qt%9+LTs`ff+HRJkG`{D|a>hfZ1c7EI=9snyJ zP}Qp=CWjNQmrnp))5=;uns1a^#oG9pS)$YxhzLOd?|3*;uw=41eyW0YnS!G0$DvA7 zZNf(EDlc^eQ66buhRv`{yqNeg>E-sZ@hLd;8jGOW4g3u+K~+Xt?r=7ot%xIEi|e5O z6DWEmsS21gHw{FTT%5(jS8Q&tn=j3e2OI`u$WJDabTCfhXkTA$Hs>3o+qU83#>o5v z{7Q2pwfgk7#rCy)QWk(G$5DU<$J4}dtj6d0r*7W~c&@8YO~$6@Cp!HtZhBUAAO*vegoqT*e6Oz%DtkofXsz6 z27bI|X)W-**y{HAcZU9hM%ireDap`SsK>H-<<}8j;svCL(lm&zseX=!= zSFFS8P?I0l*i$7}1 z|0(BP*}i1Q&YjzxCTIRIG8^LVstw&6+jPDx6mQilFwBJPwXf7wq0(B5=T^NEU%MF5 z_QkjEa4+Yt{?&uMUfpHJ9xrdTuZrwnYPxlYRdqdH*LATs;fodzWy%egD3b~Re0H&Y zDL*v74^@AaIzqd83_3t{j6a@+7}4@CRsWd({C@RGES344>QAh~H|ub9t=@S#er)G& zk6el$_wl#Op>I@Q#NVFFZ(q;fUdhj1EoM4hHZv#u&h}RH*^{MLYrlJUs%{|HB`wb5MOU!ojP|b+3MbKbR$8j)eim)l>Yz z5GZp%w1t=h;=M=?Nc7U`+xX`j@q=pZGf4ldQRcu%pw}-tii@eh)n^02{q-QQE>)jH z%%9*~&s?lN7k~7c;ZUC$E~yl6-JU$fSc)lbO`hU~DW=$wJViOh6t^W$QBR(tytVw2 z^1I4!FMqcDvGQM(zgArh5-$H+b(oZV6Mr1!5BA!up5%`S{&)?4yqrHi%pdRNkFWB_ z7x{y&$*X_QA8hAYy_P@N0Hb;zf3V9$b&fw+TDJOH{$OpT>U;Tv=Cc#xQ zt5@|Y_|a-#9*SvUc$YhjqH171p*H58GXg67#5@Om2V#A8qBi3tzdU+P>_h+bn#hc6 z+*@VPRgw9jSl64>mR(i z2!`_+{K6ZC;bX1#rOm=LpIoG!N-omvJGYh5)oEL^Hc=@wwl(UL+i-aWL}+}rztW%| z{u(>yk;?qS+{9veqq7D8^lK+*+BN!aZ~%HXYXFae7&(Hk+rvB&<932488wy}Q2>{j z$?;{#AnPpBBjrt8S%!FvPWkrKc_noC9lpky9BzdfAG>qM164R&{!Mq*OVhbMD9U&e zonf|0GpyYQk(+TpG-wHXbqeFnU7wUFe0^4zdm#OC_Zb7v;cGYJK(O4vG=l^rq>0T} z4A>)G-f14$=1$PgaP?-{>`HM|hufsHgudCvfaxYURKCIq*!F7oo!hB?pxY^=-_Ck0 z>LI(J>&$}IPQbTVf|;VyP`2Ud9;dU0UyP$Y&up-0hj~6^$0`$e95iA~T^)}jTsSkw z&|SWy$1b;a=q#R2x2bCe;Wc@(QNy3|ph3f*@}aksvHInI4-hT%iwE6_hfd)<`-KS) zX;71e&{=o3_U{et8}6;mjsTOHXk|YN;~rS`bgPo!7-*Zdf z{FT@$mnDe5Nm7CXXoY#_m8{)<{r+BW%#?!FM z%Zx&^58{7%E;w&q;S_Uzu zhUkS1b~u;3!*0GSw?ni)aWm&p$-&I*Hp;tYnu9H;cn$|!Eg67h=Zx2yLuI!@Ei@C- z^lOtL@QehSzSf*>9)Jkvb}-h7o#Hu#K{D$Df3(Px{M>mE%euP}rM?$o$mr4n z?J_{7k0pchnF*j=ce1nqIQmH)3~7%@1H%u>bIYPPU3$1guU5D*+CqBsfgRfuHg+k@ znlhW)(N|LL=u7E#ltMMyx&I9HmC|T#&prDe5asB|eGlBZUm}%`?%$g`fFgwuc}FEu zxbk9S&{Nh=`%l8|leEO!O6Jvh@c)*mPOP?A%EJeehfN?44-wv+H!;fY%??ukloC?^ znBqCo4^3E0(hAn~WF9n#C4eSLsa)5CYiz`nX)yl!6wm3dleq!8hQYVw=Qtltf}K!I zBV`9DWpPoe)kE64CmDoEn(2VOd2vFAGzU|FWhb_AK%VQ%FjA1$1}W>F-y>!zyG2?Y zlz>hqZ!t-2+#pSv?VZwYmy^5gmQ!xGl;Sy_?t}qLb~(G@t`>|bNl=j%>0DR67;JtgGu)F*0%dNDvK+Se1< zPLf`_7C9AuMu$ZoOaT|d@BJyB)BPsHh43>{JNY@xx5Ufb$}#qb3BX2YL;~27lwFwD zIF|$1H&XzD0Q<8P&nUB_~$G(hyV2Savub%zEH0@(-A(v#lnbg>9I8G`i-(!`d%x7f_Um zc|T25W#R-2oAIU>wNO3?Zl-*W>F#EqrXmIkDET6)v@@EeFhq%E?3f4OVuOs$6`xF? zyLC?5K1hg_XyEu0wgxHBfF#tQTB}0cIZuxL%!PBp4I9TBJtz2K9yceY%HGk`gi0c% z+v>(dB7HLs|3TlotbzD*l-<1Z{xK8-10uoc29!moAtYgXa1-DIkxVpWrq! z4d9mB4DX!Ha6`OTt_w9-G_FXEkOJDoPlF07P58$OY_;aO!xTzv)7TE~QLdfl+u7j~ zL6>k1A}H%5=PBg|1IzIsi{CTOr&MPKdIdyBE?kFXmBk}&vRIpS^|uWPv)=Cv8m_P> zyiAQa{0XF+Ae2=Ke3JwN+J+qptMHUPlDiA(EclQad7wmL9&X{LpC+2Kz@Ltc7X);p zCmUk=*-A$8!iC>CE`x+o2^q#s)^R0IpzmDXGXi2~I3+yI`fl!=#5=i^lR}Mv;H+3W z;QQ^glt>GiiF8vEk+xsuECi$x1mz+#no^8LQ8vJ&VT-hCQtu^U3~21p7OAEnSPI=- zp~w-2bb3ilE3cK>*jAPlRA~D8NspfeDbQ<~fu8FE^nR{U)o75?7ADUzXC$I7f_d#9LZIqa?bJdo=0Kuvdl2J$-&?eJG7tHi|RCo{h+gcP;akd z`{0;_l23!N0#hkx&rBkC1C}{(L}@Zi1ZKw(L1bnJG8?LkzUCmdj58|i-kKS9gAR6Y z@?c25$PjjZP%7Bnexx*w&SNlY+2T4CcAM~!bSgCMt0egr1R$a^5ZYr387_6WLgm*p zL*-@%m0!&O6+b8yRCYc9-UkdpLqgP%V)3_J0VN#}F<;D~^C<)_T_)&k1D5B7wS&ph z1}j8ei}*0H75{ugxQ2!w{P@T>{)CHhx+UrY59b=#g zQa!rHO${Y*@n`HU%&-X}v{YVDCtO}P(uhoyBEW|#f4DZtHENE4ZPrdAWYeP0(kDBD1?k~ywpj1#g2%ZfsvNTzqtMCSC(w^s9XgQ0DP@YD4 z|B~82{u0K$oA|c@? zDwFs{6AD*JWxg|D{v%}m)fHUGro$eKm8%Bt_?!^XH> znF4k?rr~Yu5^I9HyiDo!fF8+2>LYhot8{kHXMfK~@W~zUNAH-7XsUG11N<~CA zZFgucAh|73t+o1bEH3&HBEBz2D@;}t9+#|xAdLIi4BF>gD+q+KUG1-znD!}w~*P*R>Y5R5@sI{1XB!c85oe4Ah2_;P;oE0 z4}a}G=;nu+rifkyY}Z^gPlKyd54G>V2g=j{5^koPPFg}nk#!>s4dn2jm?_7ZzA;LD zcB^~{eQb8V8GO)G=G7R@an|EgSZnhk^E@&a@IVt^AxS*9D|g$#mR$bXSkuTpm@p2| zh&n104-O8>zjvZvBK1Z!`TAwCeY=`@gBN=RM`nOr*A5VDC>0Cu#vQI)I8~|DMC)h6ZV&~N z>nPPaNW90M@sT;!v-Z%!@xk_X@%JuoKnA*~-;G^Q-!9;B;|&PiUy-jYTt|>yfI=5T z4@bV_h|R%^H;)RGJ72xoLKF`;U_UK)YnSI74&g!fD}Y?1P4oEnhej-r0CE9HWHDz! zZCudJxqX!elK-VIsNlpjLcr#Y9Uxe&JY1Y2HCfCFk$uR1Y(Uc=k8l~CYYt5fzF=-l z2@QzyFyDA~P$6s{9Lx{qhI2c&>*st;*1M zoV>tg1qe#({4>J4EVH@5W&22L$EYrFSu~Ziab}2w`W-00jf9A)_G(w72w_IZ%4OM{ z+fc;@)qzG$jT)560S>}@SQ2x=XQ=8+&$PpX_u>Vg>Y@6#2PRRb9K~o*&&LNQgmeDz?qlQk?7#QU zvAZD3Z{3dnpqQY(pEe#hVLYY=5o z&l2nYZQh#OT;IHf7YE)ujHZeRch*4S^SgVHuCg5A~GgwP*NlOO!!^whf!U3O$|PXZn5yrARGzqzLMr>!3kJm z7C*bVn-bzKPHYPG4Qi*IaUR-;?%-^iR|i^OW7qNRBipy;Zsm_1BikR^;*^yOrxrUf z`SWpmYR04i-t>MLg{2gjVz!I1dJQ(_iz-6do27_&+T{y=mUKVO(Y_pM&iy^+wolN6PR*> z@g*oHk^_@6^*~HjV2wz@=eUv}P#-ZSeuX>wu249ieQBoUrdT0tZ8np;Txf`woai$yA3!h9yyO!-Na4f&-qb6bN}n zm?C}-$K9G@=WXZ|2F4~F22LIP(wv9-!7qRtm=p*|3kqtQ)bSY#>!F4NemM=K6a$-? z0KMCQXJ|*tfr1@~dqU9{pdLG$%+*dw5}Eia#G@pA;`9_BRg^RJ?MM_{On18Ijdfi~ zB!YFxhq3j%X&m+fDfk)eK#2mj784~cuvJ1I8Hgbrr0J57ZVbF7%9}#=MGIa^R^c zcqW-(X2VSg!l{;osk%#DceckfRpPNVhV1)gwM?7gY>LexU9sZ(DP$TqQPrmbbr$KP zl|~VzQ5l5`Kk`ATnSej?Pua13aslz^n#+YEjp&gAW43faM4#STrMVvlH3@%!n|c!E zMNz>6w*k=R^FfvqwF$Zw8S09dRn%9nef!tmg(^0D*`L3z4clduZnP}pjnJM5m1QgHLD&@xBuyMbaW^o11z3dOy@&WwL)viFsD7mp%mEoEcb9*Ra+lN=q~!`I9h5kcp>54>aseiv(OEp6G*tcN= zmE^<*;uxSZq5?hiO9`DoV-mC_qWTslce%Lr5^t4EE>nGV)TBhxVkmR@EFs$`C2+Vh z@e;kq*oPLD4TN8zZvn2WVz~721boBk!h%U)kzQtzBrKBwsxz?0Ia(&|M(}FzCb1$y z#kUEaOdSR9bs^^QC@>^*=jxT|N>Sz!Dhgi*CfikOr; zu?)l&i+45mQtlRk?x&F?Yct6h4vCx|Ty{)pOpPRBh7XcWdPiBX{W7mXU6L%YaaR7H z_ATr19CD6|Xsw6{5TBHG;mjjZT;Jbku8j5Rmd%x)bZ>bR>is82&@umX&)cnav@7d) zHcA-KCO~3$1$X6Ep&UVo7Wcp@lsX1UA>~rqj=`*yLyJPhlbTkwL|YI8*-5O+m~Ve< zvbBtrTjnrnS|kF)Ks1oa6Rg<2aLslu3{6{nPHrq9A4fIJ8VAK-L_p6VAlST&VZzRA zf=4A;50@yUG{CyW6dttvAq$m@3s!34?4`V>kC4heh-%32F0qwb$fl6Qia?k~2{rZ_ z1$H>)?QD`Z5$rC~W>@kYkd9hovu`XI1^`BP(JCSxe`ll+Lr1FM7|F?tm1*<^Gz~6sR;Ja9$zYF!)(TgPZoeQ# z4k_78iQ%E)?�GfJubRH1=hIZ*ka<9J0BY9}kGib6F3 z86ALc3aggK*Cdj;(S@M^F_NC))!GCCt%a4gMWmYo}vawpV+ z2e~?Oa?yhukSGwCGwi>^iVm;^LwSYX2a_-KMig;?C08<+Ei*TYVZgQny*;9Lnrx>) z0{W^dRur-b1IwyJx_9&KxE{DYF-nByX=Do+^_FA#$ut%Sd5-KLxGPB?Qp?1|-8zoH z0v!Jb0}%{wRj?(Z0xB(dWMG|z?|XDmjx(Q{&a zN=OT>;H!3de<$lef~wFQewv1HjvR^Wq)x*)9tLTb&Yn13s=)oe!?7UGJY)(t!wGx$ zdNNxE-Gt~XWL6Bd2PURb^I4K((c)otB7bYln6U!4V)Uq!HIlX5ucfEkD`gdncR#DW z0=~1w_6^eKuQF+RcWjgOV9dz;9NL!+fJBQG1SX+q^;smF4KG&T0C+cOrg#|vzp?rV z|1qItbrm3ho+e#dz({uml->bL2a3we+Lz*KlhOEuc{H`bUrs8Z^&G!sTS@%N z#tf!;++sWB{<-#_7IbbrD0vQRVyyK=wT#;0y1Y$ zI1&x&zMr6`;GCw+^QMbbo{MTX=~xui0+u|Qk&ufGf1}ciyLiJBjzZS7L(=O>aFGpHQOIDfv>-R} zh`vZgsL?7GOLN!}f@>;MG;Gj{iToql0|7R?K$@?kj#D8wUxtl>Djf`x5)lC9(c49H zII$@U5-7c*m73i+*ZhK2{91FN!NQ&;b_O(wXmE%^m@CS5@LT;P4WW29mIx5xm(C)4 zwp~2U!A>Q#HL`#gR6cQOL=YO}3N|c8Up^XD3u9(lqa_-7I8^<4P>PGkZ9i$$kj7|N z(r}FSQkyIoa@s#9!5L25m2{PF{DmjYZbq=7>ihA1dqty(rb`3(nKvuym-ZK+ZcSoX;Ced zEFR|E_-&ga+8Un0ml?Q4CJ9Lb-Od=ECBhTA#d7m!h~+#uIT$5O{fknD>I z$ljsjx-d+-y)caS2swRYXm!oe6VH(CIsBEM=j}=m^uZz z`klm}j8WS=hl!O2G7y5~6qE=ie~RU~<5Fe?U2y^F)4*Q2B+Ht)?}&^OJ8Hw4)y`IN;mm)4&Rki?dNk-YN_;m>A|`CvZ>l%I_Nhi+FUBdAq0>s&Cx64>jI7z>tf^_Ny_h{Iv z-cr1RJ0!)Y#m`0V0M!i+HvA)oU^uhjz+>xqeuu8-(CU%oMQ%%;EIb8!s^t)jTbWug zm9;Q|1pea6gvbH$6Vi)l%I`v*=KZEh&h0o7)q2bI{j%~>tQSw?Zo_wnyxCvlA}mq% zAj^n!xSfDKb#Se4W5$n@_jAH}jUOUACN|r0pICR}^c=$APE6fbP37?~U+V^2(mB zspnXQr@b%rRK1-W&k1aG4`znNNe7EDFI%Dp(75Ed~RA(GiPkI3LhpHcx3aSsu zt-*FS6UQJVk!0COs{?vZOdUZ9YnepaPhpah+d5WS6IBxw1aB*BZ3te03Cl|s58Oxj zEehjTWQOsqgYioi;qr*zRTFy?#4zo^UbC{1j40;J1{RSj&eF^S z1i`DKXl}wax@uE_n;FMluEDM-VV?`&K!(YfG(+fSjAg>fL%V~rgy(RkwtEL|nb3L| zbi`}l6suS9#z|!m+9A!Uxa=Z!3|3Ig;ZZ0SZ)Bs3PM6r91GSjszUovchg)7XQhnRJ zg6-rSll2F>%B3G;sJ56NgP%X3Va>#;c~WeM-d%o1vjB?RP|Ua%i~7La3jc(1ql z=XOh=vxI1$LcX27Qvkchj2&Zmcr+5;*kNvhiNpAUgG-N}MQT3U5RTyb!D~;Y4kCg- z1QZg9`!?35f-Fn!Fmoj)0at+W41Fn~*R8Q!4R#^IK@%MA<7c))bCV7pSctiLI48P^ zZ}e9fVG$@*Obge9i79e^NZzR>-Uind>uD%&D6i5(d|&Jk;q6|9duR>5^4BkVf5g)= z0Nv?Mna1dXJ`!6{qFk2ect9N_^)>US`Qqoa;k8%A>brI{AH8A1K9UfT)a!%3?- z6j|K>rixk)elnO;;K7)LbcXGOI%N>~Tx}Jn1!!PauxrrUDTWN1y`@>CK-bzoz?m2Y z0;blLO?)**mDLa91J51?`yZF%3TYly4E;vzwW*jv-7y2VXki8?gc&@3Fa``Dz!?%g zutuZah&TN3dkb^)+>U-4`r@wkPz_(7?7%Xfsguskg44Y1vL6FwApP+$S+ zt13WEgDC~Beo#3GXtG|IqI;j}Ek5R#V#PGYM}kZVNMh5|!zE)3p?<)~RuC!zIyf4H z3u-PwN=w{>e6&SuwUN{CJ#Lc)a3#2&TIAzro$Se};$mpi4!W~8c616v2Zr?2<{@|_1GV`7}nB4R19Xt_+7EBqbysU%jh$d3hP z?4z#9HtdTGP;jW1@@a+ME3%*<@&`@W|BD&E`ce!9?!hqEl)eC6w!st?bO^>xqvOkR zm}wI_3)#MX=5(dlEHB=D6KplrH*<*_t8b9kRo{Yt9B>S@zUwmq1S@d`C=@$4xu(4W z8G;?34{-==8uf*auQV64y=u4kP2AbKKlSiFOUOtTL%IN{jnz*J5R>`LCpqiJ>c{2L z>ZkBe4BoyAefyejIO*2g{Yzc_pYT1IR{!5*Nz1nSOG3&qf9UG|A@l0~F6-)g^ADo^ zN4bEF)eohZ^@HY7Lm`5V6SZO|Y7JFCh6kgEIh1_BPwe5>7#@~WM*3H1w9l=Mo@i8f zUfb1J@35uEw|XF(W0NPNfi=Lt#0g6-je^oG7m(#g4OBYl#fVI#%f{-HWN7m1EX~{? zk0yik>CaE=+zCB84opiNtzf(pOUy=f`<8eA&pHg<&}w~MTn#ZlgRupBf0F~l`AwqG zcwuH}9M1}kL z;;59%i%}^*N<*a&%h2T4St>mvk0w*;(ESM>8OZ>^wH!_kuX&{(pul<;7Ltt?-?_ZI ze9qBso}=`(eTNw5J&(fVBbj0Hn^|G(W>-UPcY6HqvE4@Lv4>ID295XlRzdk^ zvB{H(!_wj-juyGJ7%lRnG_?3-8Jhe$ON)Ojk0#UNO%L?*aX36o@uY%h#hR?tcM(SP zF=|#b?CZ88bcZ0;Y8FA-y*(eU7Kr#g+)kG?R`-5G=DlB+b?=WVm0j1v5G>${X{DpF zy+&!Qs~yy3s&=!VDiC+aCQe3pOJ6_g=!?sW(HB2TLtl5u(B#)yJlrXdCezoAhv8FW zia|F!xkI?*hZHCUyfB+gd*Sl#<{9*#M$Pv$fCcvb9=3e9)1^6+&<9J;*qWZ}4?qxGCZT3EzWYKr~O8va<@sBg_ z@sG0ZF$2jYKYA^+7H^X5{V3|O!1}p(_X^r`UT=&vFBN-^j%lx@tFMtamS9OgY_D?` z&_ro;c<(SX{R^*vQascLrPm2iU~j~T@*;VhA$(awJKE`Kmh zZsTRfOpQJoth-|6XY@lo>MI7)qBAlYk73<3#jM8;C;rl=eqU~90Hu3tUv5 zXJAT&@!=?UfmYOrVqN*I z&$sIHwFdmlj4eS(9y2RZbXal$v|I~@v*`oE>`VX*v%cZ#YN50h!|Wvh2*p$o?vHpG z76W0Fuia#qy+AM)Y~a5M@RBeN)`CS0n7o=6Q$o{vxcRs(ABTlBPLAXbGa%o6#vRdf zM;Aqx*I_^09X#X{Hrk2GaO`y^u*O6Yq8uR%M>RzFNMMgN<~Hf~zL2%74!(2*At9$# zq2XJUSiCphbOhr*EkqiLR=v{5d$DK!@}mgG%`i;3*(U0`%$%&PH) zl7Z*+(SuGDCsE|QK+;B(9`c3IgUJvPBHK)f2*BmG%P-4)lQ)1ASFGo|7*kfzWHV? z&$I!Tk1eTYXhWer@JvJiQ-4@`gWF&MWkm1!BMZ&v4EYntD)(nm3ugPUD3WF7WYm%f z1x`shMs}p|bSY6jDd@t1S?qb-AD9yD*33jZ)k(C~OVIEk=11$DI?#UB?m%A%u~Nuj zat3l9k{|UYM2Lf80;Kcy<@1|F0r1?+04O^E?D9%i;vGo>p#7jxKPUl0d&Zy#G>}_J zegS4QmovrVJtt&}X$zg25!S2hkwHS9be+z*98)Q@9?T4_ii6ge-*|s$`9Z0mHL~9- ztYF_#MhM&y%u3?CJ@>1*L|uY#8k0~GwAR8ZKl8`YPQhbAaftd$x} zo1bo>4nBg^HEDrXkUtE$h(-_-~4gZI!C_!n0xPoTk7YHggSX&BPgu&S}B6*87` z_u+cPP&x3y#~b`7k3R-kA#>f-wD~YihUb*8!d!*jW2|#^PdoSRKJa?eh!Y+4|3h6 z?BReu8B|{QP$F6G=?sr+F`gYqL&tjJ=Em+ZLGf6Zjn~G_K`>7 zd=%B(t5U}Tnl+koa*AWs9|_LThU8UW9(>lOjo6Vx*etWFx*Lddd+qEMa?-Z-q=VT# zvH5z^L$;pujnR72ie6Gty81?}_v~Wz&G@JKKXC+MDe15ANFqJ2ELwcxBj4d?zP>pT>&?71b+)_gee{>7wk@BWPrv#~c z3rl+;4`+5qikZ`={TuY0KP*A{pTDow1QDP) zJhXh6OOc2pZ7h6xA|y3zps@Dwx+#)6Q0hilbDssd*^7ha-;fH>EXze+Q*UxZ!=}e_ zVP<%X73iRm;$!jVfD8}EjsT&WtI-G#mWWCt2n24gc8hi7r61^dJ{X%UnUo&j)0+;x zOpnwpM#S>PfQnA-zH+R$KOqJ49`a|NxFSK7U|1?tdFK7bEI#TET|CxvMdYhX;;5u) znygn^a^gxHj{H1kQ23n50(v2(mn+;`8Q>EPQ~2~gjgG=YAuR?B&bv(7!^6WnO!7{s z{34c3a%AWcxu>vDs)vFplpL>%0U|0nZb>(_L-Mqb>p8q7_WDGGvpKDYeoT+TEk7)OKlmg$><# z|5$$K*4*A1D1Fcd?=ReQ*l2!R9H^E!TH&((vgk!1d4p8)eq7;lnH`))$qR<1g3Gop zaKVjLT0t3fq7_C=zydA@k<8;17Pn-EMO$HUa|T!h!&1Rwa~D{^Ej^1~P7t`pbTy3< zJ`M({pVz(b%Dng2=-x*&>^&H!d+(>A&?dp#LJjyA5Sa3--V?Y>M!@Ej-S!^VsTl<_ zDiGGH89ilq_%;?jlF$(7l0&<-s9T~=G#LYZR42;yo75e8{|EK7tFc!mQoYlIeo_zI zEjg|Sxz97|LBY%cX#43wp=?}b6d?x-_owdom05Nys?2M3yD#_nokcF*Xp|INQ!LT>@VF~hU%MpJCXVo5a?RJ`HArh&fKC*H_r#Jti)a!W$&3oJW7}@Nj4^gcr-9{2_YVxn}a+E13g~)3<>mb zuod0<=f5ZLNeR;}KE2ONb{!8L$)d4MAE=xWyD3Bs*t-j5)Yg30}!mM`KFss2{VOECGk2FqAFGhl`z6215 z!B(Fk$W5@-Yj624HcQ2rJ^gBLP^Qazw+hx_#F#7|XuL zp%!5b(W94%J-AG;)gX0uN5lx3_DyU|a-H}bguqmG0d5SG{D%$&SWdPK?m-(rhQlnc&z@LH89ZkciC zf&1LDz8@3T*IRlx`5(;e2pco^a~>$ww@papsB_&gfzA<*#E|WGE*%G^^aB)VH?GTS z;d-4y?1^@88oeeMw!sfe&}(jSM%(Av_8njnq5Usr@Jsu+?)YSKSwK<6L~DnjM(TPG_!zo4TPCR{b}C!z0~0fnO0`Vyip-j_gm}_ znP6Bd$ZTg#4VPr=tuB^8NwjgGIQ+;yP@&Pz42?G_G|pv!MlejF(VP8uF;VM#mF{{^ z;4XpzxhmV}J*?A29dO)00C}yleX|LfgkDvuPt@2cY3K-)G3tXII#Vdl-y4H`RGdGV zv62aMy0h>5oF4UW#$K3+!A`KhMWOB%92e~F^NfN$m^pxJ2El%l2?}spPXd9Ycv8Xi z$63H6p2oK-jQ%JCMFhh>?}sID&Zjw1ejj_6LylADCz_dbHQU(7cw`-VWE!I|_?yfy zc$>oDFa2f`F-(MdFswHWG7I%f)@Rkm-mc4kf*stcWhR`>Gj~rTy>!~-7{W%!qiKYS z7H)&a)7ne0oyQD%Zr5kt_)qJ`uk{=6e{R9Bt5OW>@+*>UsWoD^Sr59{RS z0nsVf(Fv+&aj8`+#MNrX&$+a|j=D%;UTV7J*=tQ%BzE?aroATM(a~&=Z}pV#N`1;m zpnVHAMChSh(xKOldt2&$e`07ADH4YEJ-xO)`MEzL|ehrvN4ZxBW(8NY_iGAft*1=yjKoB7PCNk#s6_z4L9|&u0pS?5nasRy3|RDOg`&2X~6=p#*t- z%RUr{keW$k>xjXa37C%KR}H_R_Rb$z1ez7kTj3#)~`>$b-UxA)*WAK z2d6Q!2g7v7y@{fessfNHs`Z}0QB{DUy{RgI^ns&BSc9n0Mi(`+N(^3Lyd+abr9mwf zXN?o-s(yRoTdwK!#C|CAiT#Y8*fTPmSTHOVuIPp4|qV2gsO~66*Hzlh1Hb_DK?Kr)!t?v z8J_4;>jAV3Gby|t$qcWbRd}7v0Iy(}!mBq+>$JTDDnoE(QA_&u-HH!1f*LsC&F`(T zZAWi@*L0Q|Xt*nVyZe_4(VvY?ohTsPP4DLvsBUTTo1XhT<4rG^IRINfttC{w?vk5c zLAnQ;yPk_Ffdz%J!1lfu$$}u?n<}stEYxHZO5zcC`6g7Te=G~sMVt9~1^I_P9%u2y zUU9!<*@A=NB0x%ZCb-Tobe(^gd7balb^d{0XChL`%`O=BU;MBHt!o|3iOtfPCW2Dt zrqM0a+Bf1K>rVb6^G<$2ck)fYr2abzhNap`ZVU&)!Vl=+D>tbP0>Vf*GzC&SL$_(RQQW#Ho zVD*P_Fic_Go4PwM)4?Gr?)RR+v4?ta(U9*I*}e?_Bx2vtt_9$tzCMQug zQ39ORn&F)nY&N1+wxteNi2hm@h>9}$s|wCv_Oy|OKi@QlJ>P|kD zc_+W7JNYfYlSGsfbu}3FQ9mq!lMdhKDw2Z>O6$}dn%6h90jcQ;Jd1#NM+aGkC@-#BgB9Hb|i`lo<-|Qz$&uZ>K-;1;bK7;pV+C%*nYo&}qwo05^gz5jm-z z)jdBa^PYc0_x!93dk%)_o_q6)PQ@xf9i^$>6F7zwkfJi2-orW-tAJw#8iFcT8-|B> znsgRM?;KsgZDh8GT2+bxJE~S))j5sB=x$%>8P3F}O+-MaQhh*=(Jd>kQn}AFs#L+u z0l@k(zmVr|p-N?Mc&b1-$qV*>x>T7iCF53pziCfeqV`bBx+PJ>`i`H0yn=gsy5EU z-CTzu>BVxVcRNmgNO$=gnRoe{y31ep%k96*U|6bMK6y{8fmVgM0EA(K@XMjmO{gLE zeNOlKdztt8A>HfmWY}vkO!wN4TZU?3fD%d}y(e&7Iv}i<`Q;{H(vZ~(O$0feT60K3 z0*GG>QxKh?6DaK3YL+~MNIyWK{Jg%+jOzD0nr!oJ?E zmo!#ka${zgd{klb#0)SAhAB*X6HTX%5|B?Ia#cs!I6VCHNRG}noA%Q~QMo;~^QfY7 zU5~jO2k-g4f_7Kz1&K7`RF;n`bln2uDvSF(qskJ@9Kf%i$`agDo=S?WO(A36=`A+l zMI7$N_paJX%BK}vKb!?zqN)6r!s@{cm>3Kj^TQJO@K#HmF1^R41d6x9P-ulWIOHuW zS!NrgPpD9zqqqTEB-+}Oo-wB%pu2xn z=G}i%cmIkEyAOu--hHU92W)m0NeoP6(BLjl2a(t=AK$Q~u?m!TWCqHo6ew@^K*^%Q zU)xo^bG)y|x4Po@WnS^8b;a-TEAEfP!LVQP!xBh&K#UB)UA=sSAL$N0mw5-jtvmRv zUrPTS1jEwpfca{NYsC`!*4u!Bf#4(E!JlT{!Dn;_f0AJb!7$xHKfxZV)4?Gsw)URD zsnY?HD+%`=)~Qegav%_hUZFVl_XyR!t2V<7DAW9XYi^;|3M%ic>Z7?BfE8(6pT%03+Bw;( z7bX|PoETbEPgNTELLNV(PT=qk>za^WIQ}2d<5w1X=`~sJi@&QZR9TAhr0P4sQZ$?O zTFXD&olkJN(V5R0q={-iYcT5zBePyc%0X)w>5$$r+2IM>>9%}X`Nr}J+$|EC%C5T` zeOUJ*+|cx4bpj{;u|n*Y)DS}^>}RoTGIM6azVpX?ChX02j^w3Xdf50V-J1O0x|ln% zEascRV&3~Jela_BFkJlmG8aA8C|5ta!EIGgh%Bj47Q zK6Yh;C*cm7hUpNYKF%l%wG)+&Q73GoUMnD7%05wQj3QSPU!vw&qcS->EN>egM(CmY zL<_UN?(w(wpdi=&*pWr=L=SYo zMEyjUIKG@qe8OnL@{~=)GtWqR%s~ov9$IFTt!J>$LoE|$}l4SZ0wMu$b4l7z#PVO`9?A4<*`XqA@>Iqx!s}!x&Nli z38B;a_v;xc6de@O7ZVOZ_+onmX)M9Pu+x56?+fa&+k}?(JI)=@l8L@ilO)$tw9ph_Xpk&O~Um2}~uebfe!1giYhS1s{xloBJq4j6m#>-RqT91;Rv>7YHhH5eGHkJBjy(ID>F8N}Qv>t;m>X>bxE5lu1x8%s^eLF1ub5?Z@(! zdSsu^LNKC_d`My66?8{;ga0u71Z_IV6Hq>Q4hr@J^D`Wmg0Khd0LNKLuM*ybx*D$D zjHu)QpaovZTWTMbxfK|Hk{K8u=?0AIC6{PhuJS6H0Xu4Igtlws@$Ew$9Vl6_zDQsO zV-$vm{jDI>TK+D!#wgpoy30h4ad!PqH~&wui4&>NspTKl{kw&U<`U6)-8bpkLNM)j z?6NRzdY!ku@1TjtWD8c92j`|+l?Lz-wcn7RHv^ttnOfkVF0>Iks61v8cIRs#ax1lP z$5@`p6w=pSo7HadF$MEAc5oW)CKz_5AJ$vDX-`-)CN8W;VIdSNBGiw<%mONLZ*_o! zmQSPJR>Bf}nt@;m z{N{Nv&_(&p`q(6n*K~ZYXK^exVIoi+pZP644!59AKI6Vg&u4;Z@Aapgh0omP`OGAA zU&%)Vs>7yUY)z8C%#~2Xg?%9LDFonrD_|>28mn+Tl?9F>xj&&mZ1~+Kg5P+eb=bTg zmcT`JDHj=odKBDNwj$!NfcuT9k03k+aA~w=VO_934bLFXa~6fuYcj*>le*zo`wjPp zQ!q^7)SGlW9bUotC^q(5zu-s#Yw4!%9ovjs(g7SJ%iaYlOm}Tp{9J}SkQ!N=&g1t9bLFrB3o;Fo zmYoR+k_Ms&H&@rz4O2`)l-tZo5}DH~XDTP5uUp>|+-JA}R~jOz@EhD(rVGS@TTLW{ zDNTU^>>N}o1}0v2y#`~H3%V@YP%m^=U^I3sh|E@Uw0>FtR8Tg?sr@i!VSbo{Cvi)6 zxP1X+89=6l{Qk^@{AnfRuBf}>VuQNz0|%m5OAHI3%>#{WRHwr<^(Z^v5D{ohEHN(p zXtvOtEZYm8AJ+o5z=e$3I53XN6JozM6lgxc%Yj!kZ{lA!(0Ger$#MB^^wLTKiosAp z{RktKc|kUF4F-EtT{8CQ4kT zyZr&OyWzcI&qx4(`~ek5?Me)Mg4IFMN9+YdpG`kWIQ>C>Of{COjL=P66UG3|a!;}& zPnH+Z;Q~6a_m#4oPi1B~pGjsp?Jpjj(;kv1OAC2R;U{P?vX~0)18SJQ}>{tFaeFm9@+* zBEO93lJ3_DEh4{#p-X5H8QB+=ub*3qJ)5Ryze|+bSaraZd(TI{r_n_T%xxt$F%}4PjhX%Xd#2y)fK&Bj9Ul!< zKh^PB5J9~B#U$-St zHa}`iBpw-zZyT%clcC8kv>f0)@@O)T+JD$oLc+xfDIPP0dFqMg^2T(Z=IIiGVC=mX zTBDdPcK zfkG_8=@O@O^6poJYO)KgUBkm-?n0M2F#_lBt5;xz0#8(7C5E&+tp`}eSq~XD7CWV= z414C1-{uhfJZ8{iJ04qP@^M&6_j#3c++XSv$@4l48}eQqhXPX;f;!177Y?(!nG^ z%rQ^gWm|Jq=B8#OSQ$N076RF4rJ(?Z((lHkmj=S&-7)B75Dvc{8`_(|yqrrG4npl4 zt6Y*uxlNFA34mFiU3~h{-o=)DF74qd(#DS^Q6h=D`U?WJ-e(X9Im6@pl9&x=G;Nyf{;nEHZ@jd%YUI6fyU&D?!QaBBl2>>=;I6Fah~yxX@NFLn%O zc_!0y{m0nSlh4aa!7r#3dclTz9)NdU{*o@$?4YC68Aa{LY5|oNM68gOqe;44Etgb$ROYDi4E;dIw|Fw(DBA9mn8D-)_gAO?)7Nn z8%t#8A|ZBXJ=(-6&sRb`V|aM)!F~JdxgjzVHWX{v*o1=;lC`hI=$(1-@T=VDArVf; zjw&hbjxjB5u%6RPVoU3dMPx6QGRHsY z?>#mq!x{Qq;X!JoV+ZmF_Z>id6oMn5(iTPTn;<)sTjyy)JUG}c{%NTuaf@(bX9!@`dz|8+k3@90x`4?kDds9V9W-cVUvC1V0GrvXE{6q-o z5yy9v$Zmy$|8CYJPMq?5Irx)@hsX9q!4LKL{RoQ8u^mbeM*VNGV~8^9jS2HP;z@i) zfxGI78MuIByMLr?mkW)tU4E2??f#$ir}R(qXdkxAdJ3r8*vKJDb^;M`(2tPIjHoph zfT1fzYMH?4f_5_t^GtO@AhXGl?CxASxO_7zz;DR{aKYxAF(Re9od!;uLOgWNfs&1@ zQ0Ck3G2PLw%sU!g-W?sx=h)?VZZo2(>}5+Y4&be@5jI&;)$rf@=}$rR2V3Vxnk~ug z%L!bXgQ0xf$hE^HuSvNu8`=)DwiZ|7dE2Ajq7p7cag{&1wo&e z^*9r!JYRNuIUL>lkBmvVrtZG%SH^%HWv*-dXva!}PZUf)5u2pYh7-(JGv5ZAv0zHsNLQhRW55~I6*2zYn z*mJ6YZT|PzhBL6uZ^VZ7riql=su1YLDwiZ|^C@JTeYdNJ7vD=FrxWJ+<*bL7IOX{= z&mS5dK6?Mbz58=RM_p*a{irinW5_`bax-V{Ya6FHpCX#8-oHi{(mbQ=LTbJoFAoO)wfVLo7uIUuiw__98*!FG93!&R01_$zO;ah0ISuXG@K)^Yy zciCtT)s{3?_kK9@-VZJB-tUD%D~0PI!)tRk1u2RahP&UxqA8`RDW=%4)5KhE9)0^* zkH%^TlDFhJ{9yli16E&*fguB{pNS3aO*bi7y%6!nDwiazeh8+PbbHrhjqfLsHw(Kj zWIfizDWmK@`O#|;Me2jedq3K~1VQMH#k(&dzk9ujLp9;;I;I`TdXTz{)h7(F0^?I3 zT8w|W`Ju(~mWLKO-6NcC)1lv2_NkcwN#zoE+Qj5h$$XP&KohLPlz^lA_oDhKV_M-Q z2ojPV}iDfMOZfT^W4RqP9U>ua{jtx88IQSm_x!1*qJ2CA#raS>N|3h)X<@$ zhDsyTBLFI^MKqDuTY^6l;~6}Nt|O=;wZ$dcwZE5^tS9)NQ=cG@j-~rP-RJ0DasZ%~ z^er$)Xh){v5L3Azf#XPOyG(>aH+F&=@1&=aaAN*AzT3-C5dU^&5Pzl*i0^w4rI;#6 zrZv}!S_?5^XnTb6W;XH8dcmya3g_YS-{4A_nK4zMnGI`7tolks%Ra9H;g2!{;diAYFmP1z61gi>$rGnF;`whn$b(c5P_yKKoO)bsA@$My($1KaOYIO&+<(yI>csUHh7N8)A+?KNO?C&Vz8=nHtZJ~|4mn%kM z&?0m3?l8}HTMWk4=dTSy-mmOfv^()G-{`^J5t}p-hpP|ZjnoPC?A)S6D}PZOOkaQG z?E6S5){b`jeqNp{RJ25@q%1F{-+aNyu)2M18YvXKt>%X% z=sTlhC}nEs6jlE$H1h~5t(@3u|I9aA^@*DM^R|(v+Yda*FOSR-fcvd6ctydz)__}H z=3pNAOacGS*hHxS{{;oSTZmA=#alz!<-T%Q+-;3!!_hU`&vcEy@mQ>}JOYejwE%>1 zejE7Z^U5wKF#XxMrN%zh#eQbl7TaH#1?TW4``R>^91K%T?)|n-eJUV@fZKS($+54n za9IWE$|63C%&0HrPS}fJY21rNV16Mt)tZz0fUCA*-Ik5sw{%xHn)#+yu;M=9EH0v# zH47(UZb8X-A49+6JUFf^Ec zjdDv5GAUsI+4LqR=2N|y#6*eZ7P2ChyUyieQsIgSI1rpJiUN| zj~^67Fi$8z+*x%OAgdh;ImFQq6kRU5F~c3TYW0d9=+b^tGFj+b;|uT2TivxJc%^dG z>SvKa?d8yx`3jqbAqEvTH@A1TLY~RbBZ02gng(YjCmL`7$uPpK9o~oQ0kFnIZ>nmq zoO$l<@i!9n?Vzqz{kz7JkbbZ4GkaDjQ!B{18XX;uP@ z=ZH)yKX%ur8|GbnU&qpNL+DenWt4>t-6dHc;vG>KE}I?7Y@EY;2Hal4IsBK~(CV%Q zkf^EdIEk!<~|O$gbSR zs~XkD5G#+CP%yNMDfq_-MLR-ehk_;S3VshTyRl2(*?7n-JoYx@iZdr^maNPIFBAx8 zdZXW@1yt;PdtCuaiwE4IK7#I!C=Cl9W>HIepcL5K0SFOjSTe#svn%(o{K=U%6F{3s z1E3v`VADfe^-F<635$~MZR zJuo*hj*7=DSG-vLI=+SqT>TjSh51EhGZiR@dd>LFAW$2gPc5fnYKQf*Fwhr)hMRcYDOGB=Ul(0WaQVK^La+PHsoM?P zR)OvImELO}j7{77n!rP~x2cO?1Qaoc>Xs$OLi8j=I0js2FhtngAMtf8BcOEU?#&J$ z{cmK!vK14$Tvvv=d=|a9&AYR{70T8i6??RKK^sNMEEGMz&>S3a5A6salJI?+Uid^O zt_`_C@Rhq?cWm+ZzsLT?p24($DJid!$qeSIHw%NQ_hJXx7>vwjaIxlR>~?@%uBBZ* z3U8|IAAZq+BNlsi<8^vG?DavImqw(-Vo)mV-3*^L z+kcpjR@Po}AAHlh52DTG?)wjhW_q;p@PhG#c)sZwz)c+j;)K}cPlR&SekGSHCta1-)A5=KVuKu$%&}d`ieL}9AS2Tq2%;`#iop6 zQHYv>&>Z}@7n*KKA~d0MEW-&%JIaJJNDYvca##)u_AlM~*OqhZYdlJ%U!LHOU!M6( zm-lzexx9TTF;rmR6GwG%?${kBMp;D+Z6qc(z!|0Ql)^2PWXBF5Mq2U;YoOOc1s!?j z*)zdV@4zH_`XJtUm;HNa%YYbU?(wRxL!)}^nN$?cqS0jT1GCRC}vv^=v zZpyvq$bI+hAI<$cgm@$VhKwj0$0ge~byqy}_E2 z$iBd>cA*I%0Xu^BE%<@u%#`SBY>Y_%v(k_}F7Vi8Kr0{6A~p+uB@FVg1U@`iug#PO zM{|P>go>AD2e;-1ZQ2k%G@CrD_Aw5Y|8yLb@p^QW9Lrf_1GAP|F(7+Jixt-@a3CJv z{?LeB3f9kRk**5z1&kt;FJKf=0(f{{7-cvlw5Thdv`klw9p98I#^sog*>7=OG@}he zW;0iefnGCa*7L54>Uld7^}JvODhC2R?^E~IPKRn<5P}i6XDo~htASA?FM5YY*xAb{ ztRZ zqN7CNty^_Vb+GKOm<0P&giO=QIY8QdV>Y5Eh8|nJHxGqnT)3S?@j#v%jnU{8L`!#| z%QKmRPj)F%H@j} zjT4T1{T0y1YY8wJ7y8`ueMvy5b1_Ip3AOW@WzCkIU+CeSicOh{H23TIxFrc`uF>u5 z8{8A=DI%Euq(8^Rg-I$&Ff7&aAJUUihAf&r{jUMRSgkwFX>ZFoXK=W0ik-wV9PT?} zQzpXDS)>o>;kqUDK3w-i`oj&TU(9g0!LU?^JGS2juOK=Q9XW#Igs^niDi;74rEx>| zabZvAg(vDgJ!co;kY@hi(S+Gmcjgjs0;_T+U$mzSW_g0$N_b^)uHJb3}DmIk2C6T^5ViwqXvsEq9?`J z?PNfp69_+3KI)57{MqAYr~P%wrS4S~njwpCPJvHU5=EhzIPUE-iYiNRq_mHT08`xn zQgYCw<_!)Q!_z_B zA~|F>!%%MTHDhLmvLVV)HYPHZUS#p<`H|CxUhQ!C|e_k3Gff z^x9rf9c-PrHMLH!3R;ZGn`hbSxqrWI7hG0s1hN#yuIiB9zz3F}seFR?26-b;l-a>-g4fAA9sOKIPNqJPwDDWWH=3 zlK&jK(c6yN@!g0ooAXZe7C4Aq=lo3nA&O?AK5WjrqwR!qg!2BDfI_6wGob654>hzH z(wwx^4DPzNM)1aiYx^?C$Ouw0$2Z+<_<6r4Sxr; z8j5r86JKZ1@Hf5CbTHAtttrv)S3!&2M1wHz{Rhl@k#re55vdkR0b>7f@*yt1t6HVh z>ql+&g@RQU&i7NEi~y<(ARIzgPwnQ(7*AlB2O@6OUPMg5o3`#U9Fv^q`WyKAs|3Cn{B(Xi3Hn3 zxj_Z=dWfV+N=*;Jr;OUFS$Z09ZMJHK(Sben^|HtaLcJ_vRQ=d-;alP>QtX1@=NBWkbp{y&Nv7m;@Cz$|6p5>! zDcfg#UtZ3h_y~RwuDmR$K&+*tdyt=`LICUUPv+2XwUgy8B;=CDUqIifE09SZ>XB2OgB`)0~xVur;*YisP|i$ z-r$#4B3+XF=7PzpJ*3ArB=L)kd>#i7_d-;7U=URB-JE_c#D+uO`@{xL-iJlL80*U1 z;k$2T!&UO39G^!;mgqpRM16TY`vFE?+ZVjn+YR(&CLn7s!KA;vg3K+#Jcu0;C@bH_ zRtQE-DnCP8CJQn+Plbi1BP6N_3gm~9BRGq|>0@*wlgq>M$ssVI$b+u;)WHG)~M%HdTt8IY$&b#V*6NGxr%3Qs_|{ z4l2V#IqeYD6WRKMFOjVk8?rv+8Y^LCI|;e|dPuG>4HtFw$#qPwYCC*sy&~(y{3ckj zkPLn3#V5lE=&J$fXD7qRYq7|1i%*7uB>{;RAxkK&V;Q!LFgk)2WJ26Pj!?L4;MVDz zIwoNMhf#{8qAH>ZT7v`xOmK^fF_b6Dz;se)r(l}_^-7}|M~#*vy)@wwU8Wp?-R_l zwh^%!QJ=%KwvU2-@1Fp!w{aqe%J3w3@}M^VP@YVAT&0YJX^un;ZXm=Jy9?MQy^Qke zprL7%?A)0$k!het5{W|w<*apQ%1Db+DA|S6>!=A*D7|xk>cVqy9JAPu2UbKhY1P=2 zNm*f4p@A}Xx@RfVNL8t;h@GPGiu|!&8b5ljl*5}|o*AN4N)AiUKYXU#1cyO9e->M0 zgw!C74rOVfq_YnPu@Kb4S=eWZU!kxI8&v)GxS5C*lKBEAB(_?GMvW}sxJ^m!IA3tF z>sZ76_g63SO0aavS*T_Zt_GDf_|~pR#Io=^8dsB>i|hIS$_KMT2WNUce^=vz z{qFAo9Y z14OK=gO|Yg5~@Cm&G3PYIw4~JZobHzs%H17zff)>*MM~he~8Zn>AJ~79V&{S)HHn6 zPpZZ3lXtv2&*cdi&8fS@aQX09A1Sxt`{}a==k;Tc`C#N3`S}zW5XhiYYlTw`lABU$ zGCmg)ukwQoI;8C+IP&YG^zhx`q`EGLN*a(=OT+DWp6t||e-8A|mzKTx-L&ih|M^OM z{?k8S*Z;0C_xU$ZX6Pp<0|wJ`YwAetYW!|ELPJ2gJsSz;*qvb^IeoK=DN`Bm`^DulnwmaShG|+I~urmK25y^2y~ql zTY&XPpwGUZ5oitC8$#Rxx26#2s-VR#J|Ux0pub{sYpTAvT%SG-=K{Nu-Ln0Tt#^!X z*?iZw@hx}WzIA-dSbciu?K`a#I0$$!*Qi2-?L>{!Nf@U0fh4 zTSdFkNSG1MTl+2jSIQ(l=T$h7^%Lc*#PX#Z&v!;kH^Ec>X8cFh+aLky#J0uaJw3AQW=pG5*OPgj#si3qmg1Q*hft5?d(q zeBMVJd6+tsK=Kb3bc-eo9p1({vcdNY%CHGPR9}6a9CgiM@|4Gs@H`{41fMZN$LBLf zGUeC!c3>@~gJ~);i=R+SA>tgTI56D^Y_QCLX%9jTb2&XUT*R3li)63PEzm$%DKXYC=U}uiMU0M z>#t}0GVcNFQAEp%o=UT!Os*4UD&Q5eHs$k#R=8?sXuX|iz;;3<=b4Fk##VI4tib24 zqG7)D-BI^@H;cpZe$ z`9f^y5LmVWEOWbpCBAQ%`->Yl9)~)Up~GVwD;E$pLylM*H}15oJ*q;1ueNv!&Qy7_ z)WRN^Z2o*mtz5TQ-XNF)OpHP6d2IM;Ou&CK>hz4XCzv{r;2AygF?Wml@wl|Y(%{&O zi*5(ZI#7~I^FyHhKMiQkZ_W?5jqa*$v-5XD-G2<5zWgSs2KCooo}Dg|5}Ds7~qR9gsAkpjf0HVM_)i-?Z{g6uQwnSo?nA?gQ3 zGL+ zbU0gowDIvcGS!Ve- z{y_{dVxw|}X+rGdnoxt)s6kE!?D9sa4ta+6>{#2+U{;W;URf0Lf7w%3fL$RZi#(}y%9lz6{o zV95A{kl@V_SB`0eibWX}aYOSxH zDxV%QyAtKqq>SyR4W7Jh&SjS!sM6su0tU(VlY$K^hzcZ>$3}|xR|w}Na~Cqm;;@=L z;(WD{q(IR|mV7wPDnSxT3DRCRSrGyXJkX;N`K*B>_@xZLm#C8u3Po2DBMGM(c;8wl zhzzm&R2c_|=pu@zM~4w@mPDAZ(Rw>fQnEsa{m4cTL`(!6(QiSYQCS5D_+>o8P2eT4 z4F4StO(moxFEfrK49XDk_c2odI)8LlMx1wWnk@5!-HYUh}a84Q%0n@ zFU^VCPZoHr-!zH*>MsUG=5LN=5*gX6whgsLU=E4i3PJP-v6l~~kP{J8$jU|Yd{fBp zdu;&!G%HQSNVEDdB^=G{X5UqBbP$OFqV@PW9O+*VGSXILq^rV_{zWj-kj9)x#G0<| zf$_%LMw;ynfT)>j^}X$>T(vg@di)$h;NJ#;z#AhFSRF#(Ujhh3%vS%4yY_YhKpA%J zCEGNab^W^6VCibtirVLe8k@B#F#>rV=-UO(kq?^}>p98_Ep>!Y8lVINj?xfSu*qUJ z8r4(0-EzcUPMtv(!I>BP403(|`JJ&9yN7k`+kPJ5TK{+Kwf2p0Yq~9Rgx5SK(VU@e zNMDonL~tiW^GLG~iDvymlEilmiixm{cwB7pA%uHSpco>?d`2Peh45OtF0PRbeC+ok zw6ShH;A7W$ZGex3Cf&z&!%$PAj2CQKfmY7RFxa9C|9jG#F*=-vpk5PvuCSr@kXt#q zM|EGN4zo6&V<%J_J8;}A!bt~4Bs(|7hq}!%>sSq0gX*<9Y3a~;i~)F&azTLbGkcKX zDs76rN8#nGhbYibHx}R%SP;Lt+c&QD3vyl!DAQL zT!pu5*nZJ6fz?pDG`3A6!Z0}U<9%4TgHo2|W*eqDoD_2qF&~SC!4ofSp)V9JP!*Ut1fg&7XICy*C21yFH-Cu{}m!+Znvp$A%6=;;}YZA|aC^F^~zJ0F!S@P2oBR_4CO! zs?~x1s*|Kf@OcgFAx#ASgVo~Udb^3j6fjpHE|_>Q`Qd{~yMwAL#+Nkok{G`z7^#oS zkvk!*Yg!|*aCCi$qy8WmM=OM*Pa8Sp>NMGRj%xyG89DfjuI4z&KJ*}V#C*uz$ zJ_1E%@ip$lQWjFy$UY1KrLV_nZZaj?B z6_R_0QM3upLGS<$7??cA89jXX(1{H@VQfEMf*WQCHgfc(KyZJ%Kv_1Chm=e`Y+UhA zfrHHg4uLs>`i?t&&qcx9jve27*t6Y4l4v$-oP@f`EUm|eW8uwm%Pui%e9)=-NI3Y5 z;nFYHh7=25H--4>Pl@sMLSN9cUjH-!Kb)XH!1%ZwncX}OI&pRek=J73_M?!~WF95y z9AK^Q4CApjDEI|zasy{BFumxmmfZ0{5v1dJ=uO)Ml{#d1MB_pU7*m z@CQ4~Ls-+@WGf^5(P=N<27N1zFVKK-DTwsu&Yaeh&}jDH4b5IRz2f$|1WjyO0n{ zQ8Fr|ssUD2ku%aa-9Y2RgQZG$b?v0K;u_+FBMlHIaw~*(R%<2};*5oe;}3%o=k(JF zlW-3H7~*40WCAA!z?jHuA;yG;YTaUFx^qN~8QmS_H z<44XBhJPy;bV^OJ|Ji8?9Daijal}GF;<*yDFb_5UR1wj=Q-E4CWw63NGL|6yc~+pil{JDR5|v zPRFB{ldt-=SPPc%(cxdT)leB_z6I+M68b9#VOH#XG9GfOkl;d!bw2W}=;`=k5Jhkp zWSlKUj&Z`XrAS*J1;T`p3d<-}8QFx8SstZJ%%iF&UgICQmzJnd@jge}^N!bQmEfG+ z`xXM`iP(U_(bShQXFB_!XoIZ}21iqmcVUFiHw1jhf?_yT31()vpJ$a<6UH;VpWOSP{Ib$MWSoimH!Qq3$(1?h<^h zlxy%?tCyxbukZMgA6huJdwIEdJJwQ<%3e^c6(~1J$N7Nr-gEwtI=;^F`{$63wfF78 z$fD(Xoog}dpgDIWD01EfVZvGYP!5r=gU?lR12tCKsIg%KNBYCG;Sc&e5nH#qaR zyV*B#<-q&`cf^SPvt|6Px6;9KyO)TGn%Pw9{v&zi3T33vU51m#KEcG5Bv^FMrTpcCVm0Kx#Kj08s^V>bOh&lNUg|i0{v` zs~z`BNc38xm{pFf=mw`WfWv&y`2?m3h?I-S{)Vh<=Q^eN?y_9FRm+CA+-H@6QA>;M zsd_fRIsle$aPo^Pln^wtobRwI!EuVgt$NdL7i-ybQ-n`f*yrj9^2tWuWGpGPvdD{4 zhT)c8%;Gqo!WJ(RORNpG zR>YDoZsg7eUxA`4h@^ly)kz>CdscQ1U$Nd@R=4X&v=lI6&>-ER{cDye!(CHqwd&2C zn>XWj6Zt|AyHp*kH6}NA+^gtG9sr(1At7X}1-W(Hg}9%2_V_lyb6I1epfyi-!sc)F zn#eUg8Kl?Z!Wc_D(Gwxf>uFANXgkbxX`@;I60LK$TOHgwpk|(nQ^aZ zPGfU*E?YwI7BYC3fWLDqHA4L*O?X(evM+6euA2bVmHb_O%~ooti>5$(16U&^JV90s zCQ3k=K}h}??K-+xhS9+?2KXyJFazv?EecTqA!ArctO8y|+H;%+1D)j*HO^(01e}3F zTLcMDV+bYNZlRN_kRu>>I%`kils@aZ$MUdOcpj)g*2;w9X*2HScJ)l>NIUN?RO|%w z3sfw_-XcOYb07Qn-$@xuw6!e6ENt# z_}LfE?z6V+@H?lELDw(r)peH^dvxA*SBm*_=CSUua`vFRu7f>+AKJ7i6aMS&eBwj^ z@cE9rfNrYKqt4%xzTi5~gFfJV4_#giMWXah=f!jJ=OfMu`t~K~CWPKO*Fw>BK7kv~ zU(#h{1efQ~z02v-e=owtf(xhf61um0IWFhv)BMG_TuzrSEyd-Fbh(C}dz^lK4E;N# z!a5(g2^Vr3b$;erT;4*LKSTH$hvGWFNxzbhs9;ji>D{qPe%G>sV6YAJ2Y(}7kIWaJktw2 z%Nd^G4A1TY&+G!vYKCVt!?T&;nOxvm%@D2YzlERc-$H3q z>HA7=Ej?EHz0z-%{;~A8&Z;?Buf=rPPL~W_PSWLmx}2p;l`e0l%a79K!*ux_y8I(u z{+2HD2#fw7eWG}DXDwaG9osoX7jk!YPSb_lew`np3pqJDzeyL`Q#xOy3+=<4#kjQH zrBOM}9B-+QMx-04JEV^J&nXENy`!Fk+=5)6%GWA^=;udQX*YwX7l{@Z`MvT>D@FUz ztQ##-<*(A)@_xC@9f7jQqLH-X#i7FkMowydw;%CFoL(83F>Dabl^s<<4ocUO$7FFj$&3U zpV$F|Wr4pt!ZY)fn8c@r#dbaXLR$gG740HSTIv-_|;uKB=M*TUb{yd`oyc~aMJ+^e(&iCPS z=}B(p;8JeW`F`9|J-(Vg1wDFmb{FTNKA%>awZs8!{_Y~cFvm6)`JDTL1F!=cz9S-{C<8^#*gU8~0GLu|1xjGR(CP+Bk_poGK38C}!3V!&Ea|KwFNOXh$4>YbPFHZ-5SB zXF{WK<}8vhR5G4n!i4l(j3Xta=Ok_7Q-G&}#(&`xsAJemvT7HKa8pWL*o>&!GG{Q8 z>#$+Kb-n^;K=^Nq3ID5d89EopATcryU4y<2PIGTk=!FZgH)#_WeF0WISgI-Km)%rK z@Br87mhhh%5dL?>g#W6urCO#1cf(8`U1#tYws;f&ouse}!9SU_iHi>Yh4;5xIB~)@ zN{G}S84%>#V}g7k4tZ2}29~=?VHARSCTSBF9n4D~Xh6q7X)_$!=&=5k0bzY-Ojs|) zIaQ=j1K_`u6j~v`-%0@dOuL?$#t1SvR|!U7tj1GGK^d;bN4bfoQJuVQ%b4{5ALd1&iyUh$oNWmh ze|bO{-xU+aYt&g{6to$D9o-uM{y*sf{H3H#gy{Z7wMN6%BCpvxX6<_5fOXJ@hZ^>l zIIKn@G~T#~by!7b2XR&UxiI34$6Scjxq3MRFQsNi9YXuP8_Tc)BS@*tFH73QMPG)M zw~qn(McX=RgXUq3KWt`vVM^iu;6U_V2KLq`qH6(mu`NyF61!!7AQS4ihCAH)fx`q z;LQ%}4r&kcfdo09Bf&nq&QSdsI&VO63$DaN&yn2`%_7DPW=JlYq)O9(ryx^5%mriC zKD0*0yw?5)j?-Di{&MTyb{+z#UPk?-P1c@Dt_@kV3tn9mU5P2dGZLu_#?S_0d*KLI z##7V*F)crG(LJ1!CsD!A}B6#Uo=|$R;hj3%dSO_d+>x1Dk$L`Q5 zZcg#>#U|paIDkGhDykD5W#1w_2oOWiGb)c%QEQf>X@WzYQDtEM+;;;4NJ;n$f-dB_ zf}?G(+>sD@22^q4rZoKSc1^g z2n1AxR?uz0h<)D9*-4e7FS3>rs8n47xT{i<2ZC4`r{aDg6(!TkD0f}ZPQy=<9}q8; zI!U^;R7$=-LzYS~@ja%JkSX5|}YN?5=hPv+{IK&CkI zrqSonyLb2p?TkE6GWIkkOqFST4T}{b=w9X41h|jV2_viwJQ1GF9Dd0;g-AaQbQ>k> zE&==E0$UK-CodL}T|X$1xi2|hqJl;x$TA=wrPW}$sbp#kZg8l=MdTD_q#h+fXrC+P zpef@VbOV%aD%Lk)A@6`Xq7E@{r&I$U?$w!+3q$Bmfcc*;7MR!03TE=nbC=r)-l7st z2)5|sBop6xBJ93(1tBV{v0jAaj(?ir&uxG=r739xB z+={JH{&8Y9w6FD58fZxt(vCqbA)f;d+yc{^QX$+F>c*T2s)f=ZROJnLe!-@TI7n`uxPws{DAit|KP7JL zga6J#{1~why4Uuew?=+_9u(NLrBC;%$ZwraesZEd`TdV)-f9W>$WafG+6?%t7b}sH z+KkqdQ`_5+TPeEFwhr?yp7eO4wd1O=6VAJ!3{y^#pu7@7M^U#1T7Cx62C6;`3Y}4U zV%P(y^ivL+IOq)ucBJkS2od4VOoWuJmFoFXdXPpL75BIlq_;sJniQJ8PXJxz-BAHt zxr_#tt?4yizYAre?ERR)pzrO|bt($GMW--1NuR=A_e@$N0U0@7xhSb5nE{#m#Tulf zEu;11wDqQq8~4C;WZjP}VpHDs)*~vGM{QNX6H<;u%>?$Kh=Ip9WpBbppaxe(MJ!}i zQYp%OqY@D#Y;V|COe1Fx#2crpDwXq4SCIsewx_feDL`R`wFymyW9Tok9ud%#>t+zs z3S)wjin{zRkmURObe4*IZq><0PRl2sS2Fp0i&sNHM2=H}KNZ;+5IHMgpOS2h){~RX z>rn93+ZgTf?X9ZHU<2Xzq^^NR{H+sWkxR8A9r@8oRUX0xwHOfpr3^?#l)j`578`3! zyR%12bTmO`Y&LNrkDKqFO}Qz9s1iEJ(6(7m2ms2ZGAL!GIVZnyC2+buATZkOcT?RVJB-s!0^8=77WL9 z7=Baql#-npt$#ynJ-)SP-O;c*brT*zsMS$Z$1Y9JVF#&WR3N$%lW|@UFurPGZ)4~n z)NSDDW*x>WMNcVVY_y&n#?SUu4;am`A!kjAkU9@7%Rdu?T#eR~!}Zn! z5nFAY@-;W$%Rx8{>rpx5-;ofG`;vh5iv$FQ2q^&P zt#+N$g>JH-f{{BKyuI>>F2lJD?a}LX9~LN@oF)u~Yx|(Y;C66+L5|pb zB<~?Iur~)!4ag2g6iQ4>jzc)vCs!ckT|$8FXCLj@FrWhI+Sny{-WWjR5{^7_O%w!Z z0I6ySfkEy`A`m#5hiWjIk=hbRRXOy5KXdm%!(=0m}* zw@3#l!v$OI8d1U+91-|$BZVA!hw6qCDy4|~WJE6`t9G%Bt){=bq$936LSV@Mg6ipb zdRAAG_$x6lxjqI-T-jwJe(TC!(Dey{5TEMPVJhVR9v%7R)O_SGKYef)^OmELfKEjS z#=QSrKsY5K7_BEKgr5W<_|knBPL-zNJw#;iAfKgrWxVq_L_HNuKjAzAxnLs$>`rg&(=S5u%1y|*0Bg#pmqKTXOS_+I^a|%mA_nb+>P|*Dmfhuc&<)JTSbSaoxr^|JYs^J4~l2QVN%9OAu(5{M64iRJb=+HhbdP)gxqxIy_ z9zRYI^U%vHv=8u=6oPiHfz;6mpj2+yfvzGke(=`?{9i4gGDP^_qr?9PL{BNSdzb;_+k&6Yp13K(JEP6_b&PMCMr?nnm;NG>HYB<3h zeh&^%D&%quvyZD^IXkCZ=kklGO-WZyI?!vkfj(t?@V+uI}&#>8FS8KXF zAeQ9$0#HL-lKb@~F(xwvwdSrPluQHcTDdCtE)hWr3>bcqLNZsJW_}(y9ntig6zvFT z9=}-7e1Q(l7l@uxBDm4|5v}$3iq5`!>?UFpX-y(~EOH_v7Q+!#o@l|)Y|*UD%;`C4U;s>D*{J46fSxm3cLBgn-BMU|twaW*5DWWaX? zlyi^yVwlO{Vz{@QoE0EL(3;lorXv@?uuD3<-a1n3w*;g< zb+I7zy*i{mDSArDQ;gRCT5CPNM)aJ(9ggxjDt}ok5+nlhhtC4CIubsE-Qz35E~Ict~H15z$l1wJ=&wz82TtgWS!vY06v(jgvQPq!LZG;V-Oh z)%rgw;ChRg?GSPN#X4MX5LLxb8Si&QQQ}O6Z0>*Iq(d3j9aLCU%P=_7fsG z7Qg|E(qNvv8L=MUBcL?I^*E)k#}3g`%Jnc>Pre@aoT$?AZ;STBaA6K}-$pXta-4-q zObd?@J}poiwDJ@LHgefY4m6x5#X21o&>P}9y+mK9`$bPF*U4yIUnfI9Pj>of=mxsd zYV`9{UG@QC;jq45R)&V0Lig8dc8Lvu_M5`G1u_RUCf(fjLk;Ihfug~%tUKji|lDI>H6djOy>Huh=h$o>H!u(R%U~+qH|`GnM7K&uIe41rv75Tl>>cah0jfyust*$`SO z1asfgjzUcLeNrIIKZ#{bjxb7Sf6@@zWgTxmFFNcZv|qm4#%6;;InR*1;cT!Zzk{SO zvKWRJnv7Z)e8Pt!hzMJzfaQiziz78CQHKY4q1U6%4@wW=JYy2CK-X>{J*K7sJUZ}D zRFv<)gTZUvha=YN8v=C6*UC^SPS3hXuYv=3Bt34VRQm<_i`%z0rbN=%RWuhZ8II*c zA?Y^_B%RXdKVNhRB<0lSOHnrpVeOS{zEUfk*79}#)y2ky{U0 zrjP<)r+E6s#}Fo6Z#7@+zcDg$vvr^f6h{buP$UKwO->_^Ky##Cu7k+buNg9#a}^od zOE$+^=UO9DV14IKQ<0h~A9oGbznLGz%g0@a$TS$DCXonkE)=;^$6a)8s^nV_I`*K$5`KEwKv6`ZPZXjd-a40&0%a*PPSAFDC-pVrd96yGOH^DG>tid7-$;B$`T#DD#nEuO;P&Ag|5=Br?ZmuHe^$e^8+@&#nshiqn+8qTXQT zHIQhAlzc{v%HwD&3%PZP>W5hRiQO-%-1qW5q7sNABoxyIw;K3$#tC_;q_gEZi4{grZ6rf1aU?zcK<|2L3;Y4uP|} zU;C|lDip9u$_gd=f=LIgtB&%8;8!T~>`gP!SClq6DqmvLOZV5r?7t=kBL#H=6bmEj zUp4ErbwRy<60EtvQ>VJXO%w*kol-kb1+F*4e((q~XrYvMxw*MT}3ls6p^mQESei)*sZ-_BzoasC5X(kf#nzkcI-= z8PZ-N4zfXqVHPD$R^D%1OblBX^5#T3KtQiK1uGZ61=eE7wjlE*J%DU-*k@CXih|^S z7r8I7I9mm*hR94_r?1Lp(NoHOsnPl-t@WP!QiF9*(1y~pL6SZ>frMmK8;%yIKpuCr zRykCw24QqFp_0x*$xo5GRv9vtb0k)tYeha>uhBX`>@TsW*uCW9_A0f+0|Gd5kqs?z zz8bJUUL~shn*w)U(5Kl!2;0-2LTikxnmo6?mpPoCkceXvkW<^LHK)UKNF6Y4LMEIR z^vygn_*YS2mIMx5Qydm*^7gk(dbm8DGTmCnIuIk#ip2j{sfkocpO z#VlIwrvKwScV5xXwfoQyA?bLV6@X?v^-CcsgQ}PyN0m9;YPiDy&*X*3? zINLDp3-01Z?koULZ50WtRuBnb(W{fd9ghC#9KK?`a~mE$;%uP#Zlw8MRk!Qh6k&6= zWy5J4h)-wGc0Kd#@omM9GsdrMqE|BX$|7VD21*uNrOv^H&RQVIjC)0M8dlzO*;0A3 zRKb5B!(7-LCOgg!ymG<0gWldwZ{Gkx2P6YH6-EL;JkqIL<1|j6XPj|7HG_4i73i2L zAQNW`-FKc%4c$tY_56Jl*9*>8`ds?lk#^o)sAvIri8X-R1D}>=;jshH9RioTqS?*^ zpe?Y3S{1;ZXo5S9y2}xtQ{;_fhCaa~o^9e+>rZngJ1|zCb2t;|+r9kGZCj)Y$9I&F zRn~^D1I1@M#4tzE^)%l3DzV(aApo;p5sn@B8PAjq+ReG?Q7r$d*&po0^tmghV|IZ>(ViL;qf+)!Fm=hrFLjG}IxI=NJl-@WrW z`b6G-&QDW&q%k;~$>vAi7S3ns6Pb3MHS{Z4k(?i=Po&$l-9io;l5_LpP9DP01$xHO6ao2!E@$MJm){a z18UA(N08^t^rf ztKqDo3mJ-??Q|g{lyef7w!1Wt#6T7Ty1TUC1w)cbqweI|t(yOw;uFz3>N#)^FuJLH zt&$awuF`G>PcIUWE%JNi_E(DbA*35E;@em0ZF#?3=8iyQd6un?ySPw;=?Y$6NJHIm z7wl0MFK{Ig0tvE%OPa6l9EF}(hi%u+g4mkmz(ovjWgxnuw-vivrt$&!KS(au(`zOC zLAhYu3*>H)Is^kU@m*^jE1~QB;xqudr$>$n7PK!03+krFI=m0%V}L!xA_jBDn&+ua zbKJSAHs{;}NA}%MYE4A%gg7IW^57Cr0o|qgaTf=`WQnu5TrE`EMF`&7B*A(F`8U0d z9@NoLqaK->ZbCDwv?mGsVE?>==%Rp2gky(beN~SiMjhRw^7`X!vbPQq;Bi%MX4YXY z1TXo2|3}6C(7|lI(bFfAJV)3o2NHL1vw`nWwSXIPcWo}A2=?YyEsqi{o12Y-cMt)G z_~@BLAC{NhO3|gxd$D1Z+>%deAr%Ptr!jdc8tGBJFxP=cze9 z#9XMfj&pQ_VLmN-N`eiFc)Pc5tY~~fxOz`1SEoaOEj!`Q8rcyG-@=|x32?qqOfoGv zee@sEVflK|&2SDyZa5CpoNFq3}Scl5n zL{Et@>{G;C8N-a$e^zTf{-MNG50<7?-KgDEH|j7KH`E~7;~4?T-xVVmA|#jSko+Cd zQ%Xo0ttW@%n)~55bf$~~?g(N#XitMj*RYM%6UO#_Ou+N6#4LvhPtQsg^1eS8J*9-F z(Yg*#-A?G)20goxsKkCyBa%o;-r}^8CK&cG7V}c%$~x??q2OZM;ups zP!xwOJ;vIOyQIXKb$r9rvy^7#R~t9DV+vWY&X)yScUnh~zORV#(GBdAQUA@l6}6Md zt|P=koEHSr{g*(6v`FVmh~+v3e^Ycb90@TV<`1A_R0$tS@UYuPymOh3#yNGE2CBhd z7l2#29IRRC#Wc5+nq@?eT%p5mx#%e+wHmE2(OQo$N7fyOI*CXjT&;!>MJ zQii6rmy`Qw5RdbMfbj+~wjsiJg%0CeMNcVVY_uL5#-?NYRYc@%wxLGUAW8H+o)MsY zzL?+;LAg=~<=vvE;gI@OhwU740}`3?RbfZV!n0KOsgn#QCq*=l{6qDJ20Itv{x<9-qamI$T51q#ASU zW3>t&S7}h}{)m9%`$YdkgyYpZ9N#N?N(o1!_2h7T_C0jm&Ddx%>!WtF4oRq^XUum5 zq@NP=A0njJ=#c)X=qV+njn;KY55h|O>^lw0(D}|F{TM9U;A$yYcEm&+&>bu053q>` z=PiPj&HlJRlYbYBH$*hKMn{u>6+I1yvELFT9wjC6o?stM`@{#4;BumZGy@Vo@m>)y zT5!ch+7w=^!)UJPDJ3ZxtW})m!IV z^G-hl1Qf2W&)&-uTw=p4LUn)M8mRtmG;ZN6FWc9a>0?|%zNw3F%p4`c%?B`hjM z>wfl0lRRmlHw9VUFOWSgS^0*(8+4jFB)S<6@4k_af(*cf<`4;@S)UeQDTwi=1xv(? zw^oPD!=k5@+{S4Al-7EDj=jnY#oCuESICk_C+?ag?EZ*=<0GQ~A;R%S9gb&3PbuMO zw4NM}*B!UdwLGH5!7bb(Jv)`LhwS^Lfa?Dca~&d7Egh;qEP6@_RipLTP&EypR|krl zGJ+xCLvb~K4j)RWEwFw8en*CV+QNZrwqR%11?q(f!Pl=vV!p>+t zIqX&YTq#YT05zfs+`)4CTvcx{BXu;#H74rG*M1*!;2we8QY*jz;S#;J6<_$%rq5$w`%+eyNdyWmVTl z1RP%{W;aAQ-loIxg6JtF9F5jv!_nND-f|S#H_Bv5%*tenL!th=AUt1Nw2%({R}03i#_F1iWP(Lr}1Czm%I+^LH`(_lhwMarPN~ z_U{%wr9?BM^nLj^UzpJ}Otw6#}zriPT9y~}t#-`uk@F|4dnlS!MT4bf>-}^Cv z7Hd~tq#gbi9WAaCJq<^wUClLPi6n9sWIST<>RgRZf}-bB0uo!r_=ZRzTXjfm7CogT z5To@?TI=xz+-l#}K|bWYjN82)60kfV#xO)!-mb%PpXeziEREK6SPsGj`q(#&HPdNh zkbVqiV^E&XYzAq)&n%1`rM{cj`*GL%R+?=Y3M34S7#UWWsH)BC5y_=X6HyL3o=RP>Y*os8B$qP0E% zNfI{Ma4vz#sjCYBW0UrPz^2cOzK00IojMFZCwfW=L!)&ahPup8xE(XrN~eiI`Y|*l zgW_T{7UK-|dUei}AXC|ER!@kt;9KuIzhs>{uXrN{Jmt>&fA|oE4}r zfJG`%#;*c;H;Fk7k+zZr2N(_Go}DFMwLVva+E=G{6p?+`tu zgr?ED4$VP0NS|Ghq3G!fwcd|=jlT=JgZDiJXvUcdwNuddJ=gmC9_%WxM?&Uu>?(q1 zdvA2+%Z-kq^bcdBvwf#^EH{BPbQB3(KyFJ-y$?1zT^qVlQ z;b>L9KduLeZbcNjKOz9|QZcf$0EldHp0C58DtbyuVMgnxwbtY7Q#WebDYCeDAl={2 zaVpJ8B;Y}6Mow@w>(c_d7sRNB2;E&ebYCrcN(o(~_2kf1M}Jk=Bgz$|Ex|5GO4BaC z3kW_g<~2kJ?$#mrnCK}b1dY~{L-2|NRXG3jw27KO3;4ZP%xZ}6+oQwp-J++I@H1LZ z4!T1FbyrCTE>X+V6s1|R}G+D3AAaY0Pl|9vBsFvzks_ElD+gmMO zAk|_+MNFX<-|E}{?}S=henjPAI>fottwXTeB7;6`1Dc8)_a%XN)~aFJ27Gn-ULEUh z5Zw$%UB1@$F;dm!IfW1$2$AYd15CdM1u(XWQ4Wy`59sjNB6>GB4&gL`WXgA(<6DrG%u>dU8l!8Tcvn^porMgn;6-nA;Gccu0rh8PQWpC>pIN zhhon_O5wHH^CDq+ekNa%jD0*k63H2!hp_WmlXEI!R z##5hkP4HIVKnk^s-sA0%dQX+?4BqRl6)u!op`i(-&q!(^~I|RL05oH4ICtA%>8W7OEPO*XRkV5hKCb=Q#n;HAD!W&>^^8^pp~UM(a8Rb!8!; zQexn~&S3`W$M7jJ_*ZOpZBW*=57-S-QFAb9v5kbZgKqYteh&)Fc(GWoA!5c0bX3Y*hFc+3CK0Ye1-_Q2X)BRMNcUqXSALia;pxPC%rhz zUiz zSR(X*$n1{`z%XnF9$%YX?i+}X6;Mi9x1bxp3g~@8 z^g2Z7y;z6dUy7bmLeFSDIrLVXKy_?NK(eo0WhYoo!gl#xK=9whyoLzDQ#u6yMf8*s zf=27fA$T>+k*MC>_9QJ;bfGfJ8XS8*C7`)*^+np7zC?%SJke81Xd12S(9~sM!hL|j zHFSQh_v5a~d2%R|!=ZH1&e&dAM1P@s}F>d0ZmwMjJuoAqgdXc@8mY01`?rw{8`wo!C59C>;b#Wrz9F`z-5(KftclqT5sn2Njup{UN;n#=Cx_#elsLH!&%)_m zY_01P0*bE@a~mQQi#ilvDSAo?MWb~cin=UIC^HRyq4Q+DA9t-U2{ZXji^L8e=^^Ed zCwBB5>5cyLRvxhqft-rI&|7{kmh#h(Acp)@RhS_G>Xd=2SCR4@oX*_^s1V)4&bZe@ zbv$&wGwL*yhq|a}sgDcZPue>b>~i2YWdDg={*+qa%S*p; z!848iBDF@<7@c!emywI-&QT?w-+`ZcBEGxa12{4{5>7OrWSvp4?S=ptqu1fvslzU1 zyd^Okhz!vRRPP*DRqs4A1?3GzJ$*DCb>6lV&A%NN+Z&GSy=n2AxO$b+gEzYk zS7nNvBk@(0F;{Tn2^0xpK~2k^py~>ju`*ZsA7j*ecy8IPg?!>#L zuQ-2=&qqolN1RXK1FGELOikWGm%pK3oKN!gZ~6LneEk$(Kh4+A@b$B}DwzL0fBzhP z{|CBkLqivwf5b=3_Vf62_=@$;ZMb>F*+6}4q{|oR$uH7njDOigH#2nkCwg(AvlcU) zasHW}_!3=q;I|9T9rVO@y8M5*Ipd7u2v9G zN1*@yA3S};`Bz*K67yyJ0snEApRF~D1+cSLhCV@;{ThBz%d4u(U%vJByQF@`ca$7d zl=E58P&1!%`Y|=Lr<~+-9?pFg-G>aIop)D+BSh)kHt%lrG0xc{M~Lsy@qIbY_`38H zZ-i}UHAtpAFh7HyyUyU>@I%|VmS1$PSAT9)%{U*&Z_ZP6`8w`6U!ltZ%89*?E_*0Z z*7NDoq8RO$(&a&N_C8LRYw7&^YPx)gE+3@J&y)4y=jgJY8oh-sZ>7rhIE?mw7d5(6RyYUh2JWu_33H}^$vg%8YzXYt-$>aO^4rpu{ z(O&_V2nB)BcyVa2>hZ&qVR?xDk(e6ET8C${L7 za-rJ^-@tDRrFQMrm;=vk4Sh;n8rgX{Cgsj87q^UeJjwMW3-rS)*K@1x{>`P@l)brC z%a?P_&CNz(vy!TqW7GRssZ5EFnszc)u1{C<9mR&O69dO;{Dg#Run?xJ%SM7QY#b<{ zf7sc3TwL7wyL&W9Fv@8kQW7%w}`>0 zeBN;9_%50w>xMix(hUz^wLUsWT}|`%Eg!(6-St5ad_PW2Gq5BQ>D^tq9)SEX9*)qr zJK{NoHb+K$A)LZwtshI8?~NM#ghHMy+Z9yqae8H*!V+q4c!p7!(w~ z@`YY)aTIPk)>It?ESvDKuZVZodFM6kiE^>yZpOK$$89sU2`)&cxNQdPM{(N>HWeYa z^|0pi0oI&GUxO*!QM%>DDRC1$mtu7IYjG{rC6%=l4|BdF?C}IPx&wfn8UB`F2h<<% z*UHLnsOFfN@<(96cqToJUy~HZy0=YSbYDY9GUSFsrMbw0ek_M08psw2;CBuR;H@zM zyapw~{r=gM()9Z`!29;};C*Y-Cb$MRQ^6Bzg+ASjiM*xP5B=HB8gl!MuEnuB5(+ok zQ*s?XI_Nsw9(x^-t1!A2O}~F*9X^s2h^zuI5I>x>34I-U$lP+2za6*wggRt zqj=@T!GQ=R*9H!JBk2N$IPle^ zO`=F&`O*a8}I@s{-~ntbvvibN|88=8l-KUjdL)$Efb&cWglZT6CULkYAm& ziP(@&tbHv}+njr#-%nO0#y@XRsBe!6^(AaZ&Y&tK^=Sb7IZ2@vqWWFjL;}qzsZ__o z5S(o5t#+ORhbhdeqc{CC8J|5XZ)Da!!uk$neiV+GD91z(8Pk0fnEUx5T7IF#awxDqrG zj$#%mo|v00J7`lHF`UL#VXV+3_%98L0e8j3fMuucX)J%xtFiR&OuBC2(!ZUXNWjq& z!*T(tLo~_-4Tv8d5QtmHV*+u(l-HdBy^o}a-iMPyFR47(<~bN6T=UT06UtNS{uBH6 za&5(9d-qTZEe@e;PvOkg&txPR)|Uo_blffW?Vc-H2AWS>ou=2?II={jNTz8QGC0!3 z&@xRiG-Fl1n0{6MF=-PaBl&x^u)`K8%OK99%v>zYvTFv@Mz_Y@nlGD8ge*qSDOJ&h zNt@7No`C;{B1F++f+oUI{9gZ+Pt5j4ypxq0;;6;4KWETok824SA$1tmMe5NYv%8Y6 zS13BRa}xxaMz7+Jp}6 z1Pd0fxzfoKG!c$smW@!-HJ_(^s0G9Q>p@pLt^r~mds&+N^)HexQn=0^Puj#qhw#Wz zd%|wmF#2d}!Z!y6b6h*a2#zNG9u1oMMp8h9u>NY&CUjUQAc&Br)R||3Cc;tJN$uR> zDEL^shrwANo4XKdJ7s_hojjd4&JVo{#P7nD(_6(4(fP=ubP1gpuJ)W5r0)UF<>NaH z^*hV;-H-SHzTbm_gKWDt{>I1mv*>m%#BM;&8)%uF@58*kfStqF8h$EUM30#MTkv?q z(c;P61jzVYI zduY0eGYxc90`>AJapG!QWzGcMK$*c@9&SZyJn-$JY48Ke1A7y>cQvg-u4+xHLd3RJ zEKe{eXjyQ}fvKyB*K8b;TPWeCf<$-XJ=?f*|0t%us=v+x>s$FT75$(0OVJlw_u%J@yEcMjHVDGdWo4^*zpj;9m4T`Cx!8br%wW+GzWKU1U2QX?lB-PF~ z{ia(rE001RNZHUTpHZG95e9*CAdDhl4`bH7wXEZ{>>ghN8b-vfI-fLXw@bb5$b4Tx+NF%Y5bxORU^WF4oFfv#(q)C(+)X ziMj&kK986qvm=UKBTfu81Z&)`6s_s9jccgwAh9xMT_SE-s9^meOywG-ZcTu;aj`&q zlL6YA=qizPHzEdoSCT#cKJ)%Z!#Rm#;cn@_$P+fG1qfg;){xi*!X zCao=p{TsGdMJqo|N*A3qVvh)k6)0?SEs`}MR^rzMc!szVw-_t&9?@0Gl`xyvS3KO}u*s(f(=?0^@og`?oxBB&^?ppO-Jc17CSN;ccX^Ltce&MA!jFj_ zO}mSGhQv04q9C-VVd`i%3T%UsTGkYh+cRIV=-^z{*xlmJ_iv`TNZCarDtss{~v{aHK{#-{xvF?6txcrYfyXi|U9=4wbwa0nD#mEMRUh zfcfvDtCU>IZ2n)h=HqKz&pk%8f#vYY1$z^@8YRP2vh6b-5=#AzE7tF!dF z;n;r-RNrW<&WPwLc4m2%C@=JhojMDDu_?P`0fHC+eP z|6~DTkmuJa(C-{FkvLD`yYn$zJhc1%cGW2*D`DF#sPMSi}>oI{;_lcEGj#Nq^`3plK$r!k`U-Z}~K6L=m z_q-@P?zYBvT8HWQs7Q8M5;Q`4T9$HJRiu<{iM4SBz=pUsTa2}t z5nZKR8?$+RZ49B(FBMqt4XsIv1{3A%WsB(S3AGcEAnWy=Zo3KRZJ2-8AJ!}pKb(Bg zyvr_Qt+hxD^NdwSNJOJ$Rcg6nR^1x$Zq<+(;bzq3$rW*Me5Tx}RoP;H2EOogvg9eh zW7G&`7#oQ+F}h)7ggZg7WHndzJ5jkR{PuA|P|V?^4x5^ydK$u?3|?OUhrr!OMvC@? zztOa_f$e2<#KJ#5!OK>0Ooxh4t;Qz4sZPx!H(H@cZSF+=&t~hP35>OMNX9S5pEw*bwv zXiveU#2f1_J_~uflsi+dHO558g-V$WPk5mf6$t%r;wKNTV=7nS=*z^9^v3!~$Lo>Duxr=rJ&57~AK159 zTg)NC8$`K@;6eW*fLx>Fw1>t|jd?%<$QdAFFy}#SG@zTUd&*6uk|qU6;lyO4)~+iX zW@NDZaB+gD$-|r|vX6SV6=-J1BUqTKtG`M!tqVWVSZ=!^KJIjSMHKlojW z30N<~Lk|UOcIy02?~cDD>reSJVjwn945?9#3|MR!FY($-yp}NY60c<-gcMI-1qbt3 z&Lv(ui_G@f)g@jFjmHa=P)V|W3HtAB$twG^sbtxO6ZWKT?zZkoHJ`Ort(T5_1wT(E1+wbg#&_KR zIqHy49x#M(P@F#I?J);4ml}^Xj77mPI>8i*_PNf%Iqryk&Mss*11Wu7%1^>uE=R5* z9VAs`r(vhxc#WM-uPqGH@nUMRHaG8pTifAXC$oq49@&5VUZ@gV#_l^Gi}471;?m}2bp6=aW}4JyN+o8Gwa&HHZ?e`m)^DJV z3+;Q9ri`H6tP09SuXKA1`|l!Dbn!#@<)NM7I8Rw4p`L@+eLtyCe;Ez+=eyTU)?1m| z$L`2L^~l$tBnwW;oL0Li)%os;bq_Y62eD5uTtn;jIF;G?J_iYbL6gKDBi z4vp-EfKw%CL*We0$LTtvbwa-%9~<9fZK2E7vGG$Iq_T8r?X+d%ug}=EQ-&VJ2R{M& zOw4?p-zLTthwW}{tM2|X9;b7D7th6Dx6X&~oWZcrnZ{uMOzSp2TY3T~7b9|a1X38u z#QZnn?@nOYqx7+;3sxMZ}W|t%cWgtlkc>=PC|(pW^UO!UYJJES(refNzT|g80*>Z+A20`<7Yj%BAL>TwQr4(W>l6ioh{M?Hs3YHwCspNJJ?B3ld@oxHlCc z1;ly18aA44l2+>HO!L*!ZmSs}I-Lg_!Yf>0UINdNU5Ev#j$V@4;ktxmhpb4zh5_hy zR;?mj7$puu@)V2Xt3XlQ>8=7j0|u+H&r32}ak(D+va66wv5EmBxFoX^Y%ng#>~ijs z%>K5K*}~uC-)V===F#Zxy{9wCs5{>)p@uqIh?>t$b^Ll?Jx#^V&t5*Dwc=kjvq6ub zYl!g*uCT9A3ORxkV#r7h7>vV<+??qYz$1t;^^V%1jYJ zMa8gp3p>QbkpuwyE7;f@HDt-a763uTMf;^lxo2yk>z7tu`0;&bue@OIYpw_D?UC`P z2UqQS*ygdxFpOvSW4f((R{rzcXA%DaGoctMubdZejY77aMt|^m^;zD8kbwKrO#)Hv{ zxEh`Igt-x(XC05^!0}0sQb&O7@J56wfC^#0Q#KZ_W#w(n32(3yEZB(g=Ll7*--%vW zZ^uYgkP@e+@fpCF^(pIWqJkqM!j*zuPT)%OBMXb z1PRDgCycwU+Gis+6$V_fJc;x`lyQLJ4`WjiGvSOo!WW%cqnv(@?KPYxgfgE5(2(Ya z=U>7ng8jD)pExJUw>w4&Zh7m);+FT!$}J70@{?UdZa{NUjVCCs(>LVCj62aoZj9c4 zqD${)4J$B*LW%6f{X>4t1ZXMpzjZBXBcgq}J|Wh5?~vA61^UdTl+7aJ+p!Po!g06g z(TqGk`JYhEciYoAULeNWCo7wmISmr0sq{*fA!;JmED&cWW*+G6(9)?04?o8Nuq3XS zBa^z?%2n-JyGa^3Z1-?-2$C?-K`5kDowRZ)t4++G(m#c^>Wm8G#K{-b)gU1iQp`Y3 z(GcJwLI!6_pg}ZCu9VeorO~X1G z9Z4Ma>S$W<(mksROH-OG81SL%Lrn%QLd~u!&7E9OJh7$p=!l*X$#jK5gt~wVPL0U= zAm5!Q^eM9y1S3RR#Bxu)V>ji`iM){LOaTEsYBxad(w#{R5Sj~uDsje4w98rMlry-L zZI?r~eRrUPk|H7S`XU6XrrI+REau_H&ZdWPd&f}qV4nD`d9EYhL zXCFF&EeEt-2D^bEJl}EWY*hD~-loZ>Wn+KCJbemXWZ3MM{UD?PL-*YRx=%mkMpdEK zoyk{B=HY%>A9Qtc1h^&e7Nld{>^U5$YKW8BNz1=8=JE&JlOXB*41}owrt?}Fi&vbQ zv%@|+7Fx*({a~L7_1H|0x^sDM?p&Hp4~+Bhghs9K!J(JhrRq|2<*oaoPU`49%v*|M)6_Nn*3A$ z3IayxjNj*v5hX1ipJn9^T3SVUvXshoY`9xzZFu&wvgL7OQfIpKp}bwm{UEA=l1Y;s zNucJ`DTb?29kX`Zuwq!AnSs?xD0I+bOSMW7ZcM&96dAvlR!S+7Eiy*r@~rgwDMY*h zQvOn9h(=+dVxW_14OZ8u9K(!HncK3#zia>UDC6GWI z9F?KG&IgG(Mdd(O3Kv?}@6#)TnNUZa4qkFEZ?;f#dj!{v8f<_5{{jk|U_Ie?@wUnT zlQDkhPiZJ2+n?_Zr6=#d;Jl6A=n9xVEI#k?x!=aiA-FtdfAWji&s^eKwW$ajxx}@; zW4V^#ACe$g@CUm#T?^?);vVgVM=+qcP|ae#A$5!{nuR(D9OMW_oj*VXAlW|29-J=d zCK1vdymJsQfi`h(h&X7x>Kuf9r;(L_%`@b@T!)B(l_V1xjacN7jK%h^2zgsKgxLSj-kZQlR#o@o2*UuwA}Biu#ehstIn}eWO++#q zFbp%`%n&9LoT=`v?yj2Zs-~8iX%t04VYKoyVk;_c$eXG&Irp4%&q|IH2vaIl4mktCr3a@} zp3BzzjvcK*gf$J{m&*PP{Axw`XKYG?a7J7wOF&G;j*!rmS4-fr85CZC!HjJfyk^?B z5WZ~CZ)*>cv{E5+8phVWP)=a;(q3Pd$$&NigEchOa}9{{WG8FeyAEUiR|xZh|2!rH zvgAK~ZmscLz+-drpAdUn1XH|I;Aqk=6hz1O z0=!2(C8+PD2e0xaTpaQxjEA6ngqYF6<$nT0!Uk|lYTHcL2Woo4eqr4q6-o$rW3`T2 ztF4L&A&3rOT2QS>Ccr z++%}%4eT}#3Ks8jEciL^gB|UBt)hWht{uQti3~I3bJrhIMgiZ!@dTHd8bwnI+Lcaj zrN@}>!;DETe3Zk{64?tsvY7tQ4-*0fD#RxQI3p5~f_fh21H#RrM+|~dog&yqdPWt} zLnjk+sNOXk_!dxaJQp0aLb&m$7^!DoG44g^k|Qw87*!5Bj#W50w^0S$&L0%qYIDOa zhfWmh(IN-YKS&`&L{GU*xmbchu`D1y-q$gEm1j+1yY0r<1NL|AT_sJws|N+*y&({< z5K|>HvS`YGm|P6(y9p0pvWAae7VT4tnaH>xEs_Y;=o)dV2~rDsfVz6jhHGUHp9cG$L6hk{X{Ba3%Q7lRvbD` zgyaA?a&oF-%P{d4a3k(Qn;|WVqd$Poks3NFP#Pb?dFxaU6h>N4%3DYs@LU47WdZOU zaXS^l?X$&H8F3pP-o|a{t`gy5s`W2V8Dfjq8kl& zdjy9dV+gDF%)Xr}chH;y%Rv(+eGb;20f$lCUZtqRXrc2HaRq=zjpsmYrUx38f#E1m zGHi@fWk<59(2YUIb%J;itP4{fc#cQgR)D7t=iFbR29Bsx$QBu+XB(pT^k@GXsAi$y z9o284%f-ou3)feuUmZCvsZ-A+7^h`FQUN`t*1YRN;>|wVY9gw?Ox&*I!j$j};@~UQtSB1`acExSi(?M;;;s(!) zS6IhcFPyKl4=LdKJ`1AVscx*r;#v`=9W*IpCbgWz}_0->Pnz%%?U?B7y-elq+pwPRf_$R91qT za<>hg7aRm>bYLQ*Fb3cshLz9^`W`zLavPZhJHGlrsM~5Zd8wE}7Ee~{)8pMbm1|l| zw6mmGis5>+n--ZjDxC=FP@P%5Y14%|efqS)4 zb&M(o!Oqu2Hx(FB;r&4&5R9$*KLt{7YTdC31{%06jDi$^!B#+WcujT@C&JeQZ9D{P zrPw)e*{;>3I?VmX<(S}VlW=){vH&R( z2LmzsQO-n;^x-cTK?;;hJV*-6#3aKge~+N9j7%~-e0nDNLuQg2k&l34L@2lft3RjV zfq~4av_S(W0|I$Kh$)V?%HtF|MfVqcOkc7uLscdVOqft@Dc*Z+M@Q1xBz8pV{q~oR3=Fmpzb!1Ux{pP z#0Hwg6K26k8gHUVJXxr5bu4ME8o2bl^62_!7^PGDd{_{wJQE?Ve43MP%=jvnw$C%- zApUd2q?vecC&YW@{tWN^>f9RTVPgN~Bz8e)68n<6GjaSdp?yoxbViOJ9zHe4@BLS? zxE|f`CaGu|RK#YTJ5Kgx_Qn&;!M9XYPVplZK}D6^3LO}w)ct$Jj0*+?MqO=mRT7^v z_)|)h@b92oJjGg(x0&7L^=4zD+Uepd4a-50cXEL^FmPBF*&A0y|4dc4BG@OaInqYI z5q6LxZW{{=@Ny{eWM+)!eaD>FKVBll`=0CoqU3zeCj>d36ft2YzPB&L_vGF*-|Ky+ z&o%mg8PWyNB_wj>0b!so5cti=1H!|n<^j8&$XegEe0AI8YdqTn7PY<%fzCfGQC)=I zaEQ(nHSzOxjj$~aZa{QMqWduwp5+@V%<}5yNGt@OPI3&tHrOe>&^VZ2a-)z!602WFob_U4yj>S;>t7DzX*)11no9=D2ZH~=vsD-ugCjftMHNUL$ zFbt2z1-U%d4}$#2Q7G8Z=K+;IUi-v}R?@Byn>SfRyKo(QlqFS~4+Yu1k>H;!dCQ60 zpoyN*`8q~ta?0gxDvEfuqKF6jQG~tgQ(Y%i!odBAfXJT>3L<|x{}5R~5xf!t>Lan^ z&kkzGpUG>-NrZ!@#8=U#m=a%+b`>x8hS0o8pXHI}*i7G}dOv>T;$K6x*mQhWAFp;1 zbrV!-rqgKlQ(A7Hqa0EXPjk9#&G_1A=6*)d&MzV+O>y{rH|+C5>LBe;D}lyYtq@FK zv_lE&aZ|;ZMt;m=r&usCWwnYQspZAS@+H3!H`*W=VjwY;atwjN^Uv>3HYotY>30m% zb1`r#wJ|+RpS~5BJbit0IKVCMxAGUl2#-KQM0ZHgW*bUC_|ic^cy(S7&ct7Ts0cp? z#&=G!*vG><2kZNd2ndH*-x+=8kofQWltAsR5fi64JU;t-eu(|i9-ZuuzR1Y_cJSCK z7VIC@8`bh+v%jGmBSIIbl@FpAI5=3MCH~I@p6KQN?9D#U2&Ddb#H1+> zkI&@p3^6&{pOeYa7a5t{yLjvr3-+1ZJJj-GGr0?HnkzU#9>y5Y3(R~I>lp}J``h`4 z)#~jO8-d9B=r9OVfRckCB=k~^AmI6XuU_<+y2UJznjv^OW?qAxNst|#)?DHiNAt`pSqVl%FDw<5}jQmmIG5tF~s*_FjF>TCOuke(l%E@7 zCAO#CUQ2D6qq@;42!4UJ2W?sqBExBP(Y+GF<$f~MHabB$_t6=b3e*biQhp`q`q7-| zT2(ZFYZMp(Q~89^X8qRy#+ zY!m&6P@N#albLc-x)FP7`k@6Lt9tDd(ZPKw9C~IZYB8ihpIMSN> zDk0y5rzTe_K~sl>(&M^80T$BUJ6zaGxz^@0O32Mn>W^r8z)*xJS%`K9}nX}w=-o7F=TxaLS;Rv8U)p=*2$j4?NuXhRgQsp znh#G?GQ%nwaTslyh7NhOiIczJg8VN2jzX^*!qPG^ zRYoj@hfj~C;Z6GH01?Q=s3Bn{km6tMO!^X}Y5dd{Mw0$mK>un1k{qF53qgN_m?|Um z!^5YC{;G9o@P@c0zOjupD{ZPxIMFSm14gGp>c9Fna3(I0x7#(L0l13N976~^+$w;R zBOdmK@bD}#RYp97hqv(%vRibN6-1dx>^ANdl&#=~LAB4JhD>iEN^*=>56mJs`wLW4 z<{`XjTg^`)w)*kQ&<+3YK9X#xW@jio8J-BL7>}YLg&S~vr<5XzZRZmLna>pvPLE7w z(wMMK8rQW@Er&-{83}CEm=SY^jT*giug4GaIQ0(qP!1O|Fp+bQgdb44{}sL=GY%=8 zq?b~4R{$zxNY*eQ=QWf88BGJ`jC-?px*3 zyy+n(2;?(@E+v5^_jXO%o!A%%>I4vo9KG0rC&_LXAiom^{Mw%btnM~!fjK2#_7UXZ z(CbkA5()1hJu-8&pn6EoyLM5rxDq9xObwHv&D8t7pd;UwuC-mSJ*uV|IiO^u-;O|p zicWaKqJ+ONsRcs{0g*G`3lc zv)s91;wKtjw~tS7CO+v}n50T9EPDmX-WDduwS~enyA{>pPOAya3RDY-{0K1qBQqOq zTd5cj(e8M)PVcFcEA0Cy6Vb%Ool&2sGJ10zSy01?i@`MeWcj3^246V6&_NB0#AM0z z2QB?PBf)j9368NQh;JsCzM4gf`Iukwu8Rb)q}ZuF?f7YpN3II7Ya(XZoXqeNkbaRgqr3Q$SBq@Wd_1KsVQ zmFvW08S&zpz{X1w%IaT-z{%`FBJ54jcmt|_uUIUuVy~09sv_lu%Y%@U{`&Gvr4`nj zECD?sfF>~%3R$~2-jtG!#Ql*VoJPd5QV@=>$h_D=I1&bKMMgfuaLQMaaV;!F1vw}( zPt}UdPQU1()>aTG;Hlpdg)x64F!<7ZG3X!tdmI?NS4@`i=({F(ku^bl<>Nvl{I97r zxNk4D-fF|#gmjPP+C3qm9qShY*1soKCl7Io)8fPWUI(n-C??AYYu5y^VLcRb)g5c( zpMji##7=Sq+d&7|{!C1k&!yzr?G>1isg1WPGe@eeGW3(Dog?Hptf9Reg_Xye z2(hA=ACBPiqK`NtNrEfCVFkE9DT^PFN#+{`#%L*InxGv(-cw_nct?JIWRH7*57y=*vBzBM^K3?j;$G62~8S&wo zAU!^oJMaN>{CIUj*S1wnT+psXMcGMAB>uI)!OsO)a>PN;frFol$ui==H9>kDEOFof zF^E&RQ$v+iE}RMEE=$(4JFn^+$EF;Wa6WB0MekmcdySBi5gRJq- zC*!({<=G-E$y6Z|k4r|{l0V4=5f?0%LKjl4?F-gL#o}t}NWekQxGN8>^IOKmyINf? zP%qDR=xSA%Ycfgsb3ZOf{;G(jq)-t3>(t8}Bro^vzD~(!7&iG{r(6pQ;XL_uDy(uY zRQD-~9`m6LmYGxnAo@`OmT9q4c}!B!rVo~v zJHRp}Cd?9skEEMQ+Ypw{N)^P+z!Ev5H}^+{-FGz`Bi zV(1iz^bN!JIS?uLp_xqY2}|SeHi>Wvx#wL=x?Ai&BW<}RuxTsF4wQIwih36r+w3FB zR3TCC;!nR}0W1DFSz`<;o6*B;Uv-RPnN+U|6;fVqO&~Nqk~^gvLU66W5bKxcCA9FDx{L<*71_B!K!aVxKtz^_32w{*#z2BQ3fn__j4ce9rJxj@m=0ANMyj zJ}=@8bcv)M=;#?%Hqujhx?=uD!25s13Uh?_s~qtDxtJ^?yj>I6@J_<&BczH8wf2Eb zGF3>bxK6yy$C6ACae;IRu+U|~xBO!;asbdk4Yg<8}J(9Ls6?Du-3L4Eq zNp1+mryNu?7e;0*N|Dr?`zaX>7Gz3+<)5HqlUloodoWX=PXXFe?Jv(DvUVTF;5vL* z>@>P>Be}L*A1_0A2ug6JEg;^U{!iTz%A=FiZ;L;qWLC=F(Eex@f)Rj%>dVyx zs6tEeVl7mL>S3VI56}fayy&6<8Ps0w;D>XayWV5#6lv=maYxiQ=)a9@MrtKlaKw$5 zrjRmJ-D8de{|nv}J1*SHtkjLtbYMAhx|{n|j$>IZhhl|V74){`rf+`a1x1|uet@vu z8H#K;LKlhN6m{mMN9vnkDbd#DRcTcO5^Hx`F}7zrqTMyvJn?GByg!{L2*$jhjLqtp zWc6FQpl3uZsE>x7HS&Eerc5SbBO>3g#b7BS-@{PRlFt?Y{=&;m{JTV-xevejmx71| zGm#sS%2g6^9=ftKtnOR@B8-TrPi_$m`JgARt{z|)E2J(Yok@76G7E4aK?MclKop_j z0MJbR<4?C%?F!`dILJ(7jN=+nrv71)Id}(+qe$m%R)MTq@-sSTONi$KMc3U$gl!>f zLQIzIoQAYV*92qM1o3YkI|4Wl;2Er4mGw|a?T`1lU0nm2LE!QQV)ydk_2IYiaCx@_ zm(LTEWyGax0vne}SVzQ7z(qD8jU;|r&iW0W2rLBCa<-BNqIC|3^!JztDo=Q9AVG7T zI0-tdbb`+21>l&$1ReSyoS^dnA=E#xe29M=h=(My6Lj+2H1obZ1{6o(?SeY99))ny z4gp5xj1bryNjqUBz)sz9JrO&B$Dd!)u8%;V?M=XQAmVh_dfaC>QxOxW&qjD5qkEjB z+Wuy1uPVaC+4y{|Rr;~M>8ip@kcgIDmK0g)8cYI{@5x?loK?33vX5HGBfhCVgNS^; zI0=<(F@5Bz%!}|7&83>`gn|YU3eI%+@*I8pvs%U$0LrXJC$qBUszGmkOsMOz7(;+6r$L7*Z&SN9-m8d8kgLwzB$YdkAS=W#mwiENZ62a z?pm1SO;}hC%DKuaTx;SwsN|F316(b9lZp3`n2Y~2fyaN#7msfQM^@1}_c`$ReKA=^ zmC7~2_pAxxtH&1`m)$eFs5*gms^GOjcZt(K68A>};>SD{AR0u<+bbLpUmzyS2yxd0 zu_2z-Eq9*SNmhl&ug!MdtOIQ4h{hr2|~c#bg<&%r(I>Yl8Ua`qE7eGW#0^j2agsyE~8-Sw{U0WFpCgN-Kyn?H~dp zo5db-#K@~07`a+ZmJuVa3DRR^1=Vae)dW4uwdSwHb8TeE^N{@K0tN7Lq79QI1i^UTl__WU7#9%f)kTNs?rO2y=)_O_&ii2*MZ1-i0c45m%{7 zYorM`ePL)j?q75T>~l@Bw9yv}%u6y01=gNVIg1f<$pbLw(}LcAJ7OW3^z_#_XhiPX zt*6Up7&7_l>8^!^5T1jceu0XrHTSAH8CQ(w1?K)JU(ETM`D-1Rd#ji%Bd2mr@Mdd* z_!9hSMl-*mh0_SNoGc-95>;&=<#^ZOb@HSn`lW#VN5yL8@lA1ReAqwWfc=NWWEo-a znjkjpv+C%7D|V72*k0!V+gHS75juK&QoCZ^1WFA~s9J1rfDxs&gV#V93{}`%w7!^O z96^TvDz=y-JYVmC=Xb?q8OhK!!9Qo1AVOJjO=Z(Y5?vysthk8JK2k|0h)`BsoO8xf zRzg!vIr>mM*$-Usyf%@YD4aD7za#3QckNVtMgKRJGvSV)Z$)nO8eNH6TTGS_wyp`%!}hYx++~KstcCbf@&!ZC_kr{ieCM`c}DgCQe(y>g&n z7>EV;)T0QTyg`5|N1VLYfs+TsWEpYdn!v_MNZ0Sczl!#fuG;MpS0vZbve{gcsX|vI z7a#o%3s`;6Zdd}Hht!e6Sd-E`IP?aZHl-UQhNfQa%vf|Z*TaHbJ}MTKBe^`_AeRq` z$?}mTmlIzj-Q1iipR*~~7S14gDb!1dcY?5Pk5(Fp5^CDACH*i0oL><;%n_WgbAa=U zVzP{<&o#m4tqJ;4tQ~mPTkLbh#!O+Pie^&Ls!^OD2uS~{SX+*ee!T(($P9A@pf=oA+by zoi+iB9p*KtpuQ(A$;S$#0qQH@Z*WlG31YI0)aRNYJ;tus$U>=6fg577J5_F!5R6rY zaKgVu-XDc&l9q3{w1uP$;|RQ5EI^ebS9qfXFBgi*GUCNGL3+Hb+5iI_juBm@+A|Hv zN91>UNvq}V1T{m8x~irbKw#oZ0h}B$@g@f*){4n8V!|~+dQ7Y%)r}HmJzmwFrt{Gz zy8%j@*HuMxEgea%1D`9PLvE*pf`X0FN$aHKFrL8EP64_c@$|b6JUvrPmJv^`32Zzi z5pEG~2$wn^GBsJj_q{V+<(}K2rWlqfu^~Vt@ewj5o*FLh+?EFDp8F9&0^NuyGno$m zuY&~S{@kWR`3%D#U(=y$VIh3xVLH5)O^0P_8?72uu{S|GODUsS8xTeH3zC)NWokPM zgMmtEu$Vx8!wN#UFJD6NwVF3O2;pU7vV1OsC*R2RC!sIG(n3sD+F!$8i|xNftVkZc z6z9O-{_i`s|9{0~8Cjugf;U+c#J{|q1RrIma-f4OkH$o2Qo_*wQb6#7V$K{P_!b8Q z9~6^igrIAJ^bjoU1Obwdw@Wrb1Wq)efuYWZmrg8UI``uO%3l^6&k@RRbwK$cF<_KDUkJa&^gmau92uMFBHlHJ;|G)w1N5y0r zA?=#LhIDe}$XScd#e8h$o@Av|xUR0b*K-D2z4y*&HYBW_o zfU|o$N*9rT6}MHSYPK2{knUrd(qbh{=v*P5X3i3pk9Zt<}< zTAnVCRN+)W-EM@psESu)U7x~*v_Oe=Xu1XUls@t(u7!p0na36VQs1|#YJV2m-O*8Wg=9wO`x?CXA6V%2+U~=&g9s$wl`oS0`{z3x zNWN1{mX8{6!A^jti(KtvN#ePaKeco0u#k%bWU7!jb)DloEMWDeqVPrNGVN{+oKyHD%H2+L3Kwe_En0Be??d+~ zxMRt;2X_VaAh&e7)T0Ojdq`{}M*@47gTOu~Cd-HSmDcN+uaQb;f2GneaHMh-tROQ4 zYuzz+y~$&l@V5eR-w}Js5peHz0PYbnS;mv;n&4q;g1*!oy2LEo44Y-EMBxH05Nf@u z?lG#OkRo57&L#Mh{Zv5zzr=cTg#Mp8p#L*5Sw`r)CP)wc3pddHkm$UPstpG8TmY(1 zu1l<62v|RP>42;x?{UETWHDJrSi2^$VVy)UL|o}yhstJmNu~EB4+=RoDN#ANxXEkoNYaFo)W0fz4;^4@gVx(~c@n8VSARML3-p9yf?CUzhXS_;bd z!S#LzxEf-zj4a$W!Cq^E_{z$;@}fMAfMj&KsNT-TatZ0^M+J2673;|nx*u>r_eEl| zjL>yWkRH0{ukW_24YJ?_oi_+StWGp2?o9%C&Zh;8-zc`7Ba9z(!1#4yvWzfxO<=<~ zx!`tQgk6WlW?o6A3MnBj?s&5WtoWyKNZ*60>x_!aYoO{F$mMo*2`-PI1#`Dkv1CU4 zp9u>3m{@0y6!hl~3i_~^EF%TECP)wU^GQ_03&^f|c$LtP1mN~+$y&gk^JxL&uZwNx z2;;wS!1$|TvWzfxO^_bOt2JfAD`)Ov%HKU!Avv!Jo~vk*M-OpnwqZNf2m%-XCcu*; zEzZ71-FFrh``@HP_nkBP z%ps*{-=_pEoDwl{3jNQ&`Fz+x3v!q4n~!{ki8J4uk85Ee#3sM_gv?)0C2rarN3m^l z{n1sSIL=&!oZFY4n7VW=wF44n3#bg;F=bFHVTykCBY5j1Kx6MeBOckRbLs}q>42acG(SO+W2Ub=^R1-*rBXHc+jsr z++KWu*cZh4q;OA6`4uQBAEFCUfjZHBmsqd;FkT_rN@%Aldiw>c(1fzE1MSIvx^bL+_W7<$S$!99S^IU{Jqfo>YV z7U@Y_Dl;fV3Wr|(4*PA$O$+Z)#7s@V0f|f;<0;4G4qeC5Fl_`~zsHc-p`NI; z*P>7+zC`o4c6GE^@0x;iT98(^f+(tlB5Ek3!=Ip zV(?4`&-XZ}N$v#H#2w6zW*lYNvxi-4&;I9P&#NE*JwIV>{QZVFb*FzxIjxHOR!bKe zLWerLd3V&F0{lbBY5v-bCGDQ#qOY5HArG+UYA&?GR%yRfc)2)6%7ly{?PY zZ<@0ANV%JtRvJ4ghNurYRz)f#v6u#>gLj&HVP1y9S%%dI1(spt94=5_N2+RwI&?Hb znKW>85F+cRVhM(6u}-XW!%*@W8uk7P3IfsSylgWcjWL0M6sWIdE}aOzN7?9J*Hpz= ztg;!;j3BzuDLy3xNJ-g_?*)bLikK|Zss1y^sg^r4r~3O2#6NQ9YyP*QUVvXhL~`s* zr`ZMmZ35RBtq`sWwpbIywtVec%}imFk-Y(?pz=TbvlV6ul$wjmT*1`vi?-;)PjO^=9 zjk-C21tALwtV5XDaPILPmkxji0)0Se7wAcikUw0K^iR#j2Yd>)Y)3nGj|(Uzc|Io= zwDe|yUP((SSb(pYKImWpbHabeI zqclEUPx(FFL4gI0fr@t@RDd4H3<9F>9u!3XA`V1~cOK0R7pB2~&`+AI$SX2cYHdj23L) z^W;&-Joe^tB$7rLZq(#!S;qOa2n|9rZN}k#6lEn|i`z6@LKSxX&>g&m z8Y@8eI84J8OH9qjgaXq?F3ZO#8ahxPc3}D!79vuR(!;RbsCMhF32aO!VF?jVQWsI# z%pu8CA&0Mv`+UR#R$rD&#cTAXEv9UFY6KaCWXlt+!KGXYeJki~S;Rys$ibH> zA92u|+*LoBBA=4XE(KP7X6IVcVzK{xWXft!ri|iB%%$?cUU0)6>yDBvX;jc#g4#*o zQz&}V-H-@LHG;tFbz)xH*!W3uOe6Tb zixlhwn`EjGpLcNto6jeipm%Jg(Ve2gMYFZf9dpDHy@jypk5>=O;#%?r{JZuLUi2z{ zii?YqoGxiI*UfR)64;Th2EkIdzre-Cefj2~8pVK6^shNl!ut_rl%cwFW|#`9duk^H z^d~4(Fd2>^O|l6M3qy=TG1fH$iH({2X}!7^<^vtbf><4x9;fD-ce)MgotFzC@)&^NA^dsI!8wq4VT$}qJv@l*jIB0#^f|UJgK8F zkIGYg7;uv&FllbU36^zGaFHBY*2f(zYfkz<>PSWZHr0UIv>hGx5q8w;yh1~+ehi!m zK_M#K$#!&;RDg0kqm$Z*<^8S;mmPxM&`<+DI(~u)Tb*$A0VW4=l9vsC%@0+;3+(VF zY=Gj*R8dD*8QQ3)i}NGo4v&ko*Jx9!INfB_!syg(zu~59HZ3cxzkbtA>R^pdqR8-))#2`q&{#?&#v%Yigel?- zlUsuOJmT8c9Z`Nz>P^Etvd;ElqBu+x&Bm~dMYw-ZeCv}b_*U=Bn;V7aKuLgJaL1m# zm6?)e6MM*ptI3@#6qBe80oH&bKRC4e>0r!Ia~TS2wJhawfZY2Tiq~65Y<)C0N0Q5uP`i!gqKpF75getznWx!SRo_7j$2+~p5qr}1QN8q4# z_qoD^+dFNog3nq3AMaMX{RHuN?VU9Cgo+{I0G#6kV3o^wSHv><+=_;3vshm5sCH*; zwzmkcCAGNOin9lzR_>mOHP$$4@a>o~na15)2-+BHj?UIj!lru1@xLhjXSVj|7_4^; zK42BIw@@#ocRW5qxO2TaTJ6jp!vpD;pC*FlRZD!C zoBCh;Qq!nVX5K$ zHcr@o8byw7)ioz6(QA{AHpfA=%sy6FX`){W*nA`TDTz1>lMmWt_SYVneT@%CZK^Lg zT7AB$O#?Utq!#|79cf4Xadjo_9Xr~rgMp&2#+I`*x^Ba;3N??a6&#+2pm;z*@pk?b z3vT!I!_WPFz8I=K(C3?w>1LrKdynrkZ#N$bf<3ncbl!zk*UqFfN2hNaU#+(#87>~tO?{;n5ogu$S}GFR?A_=VX0>Ot*(#r*I7*qabav;iI2M}WZ24#kj9n!rUvS9wmaRinWe>|L98>L;3W~*4EcO6jyI*5 zPC=<|;26Tv`hng8#=%qcSsl?hRGi?sy{S3B+jMg|sA=UZIUfR1g?-TP6y*o;UtIPXPeo|W? zw12WNh8PLNr;SiWawHy1qp5qnGxPM3)-y_l&5d>i(ZXER63?_NC|yq7Z;^Y@07Fy{ zZ8yoVlL#v=-3Bg6<48jHZZO)8P)f8IdDVY70x7jBG{oLft@8faSIh=)TMKBdk}A|k z0^i?_7&-}i=`F;C4u<5}$wzBTPrwN*;zjGA|3Y*4*U0B%!PhavWL8F-GneuU=0rdO zz&wh9lLO?x4k>^vDHY-on?Pz5y<`$Q-(p-Pp$km{w%AFr3SXCcfufik)SWAfMfO1y zhPJbNuXIDJ3eNzQ%@Co?#q8K*JG>Pl0`3 zPx^vGPa;S;^(6Wtqn>mTkDX%4KEYm~mKR%3s)h6zTjn2oXL4kX(5#dPU&6ZoV*)ajK|y9@ z{vorsR9IhyH3LDWO&H|I5PLzisA9gf@-%_kw|KzQnn+KAjh84~J#lTNysrxHPqi_Q zZh-iBtS}PPoU|@wfUR|>bEBq~8o_fTAYMzS5!@XyWD?GjR7GN5$tn_U%BV=^K}CuH z^T45T{~-m9rKLh#k`f0qicC`ICjP~IhEbJ-EJ7NR5;!SV5mQ5YW3@KYS>qWjkMAm?vewc^yyl&EdyuuCJVL5{AnoDc?SOj&2w5E-D zEXc4Lo$rv#kb=}c9kHbpbmHq$4>@!xf}c~DqAxP)QXl5AQ!LrnrT#)KFE-I#y#b+n zh!>zM{7j?Sn3;kegfzY>BsWbc*FCjGpPp>7U}B#?J#WH?w53YoIIlqkmcNUg4MYd} z=lO^FWe%$orFO%N=M?P}FNT;c&*GtuQtD9zT#r~jAh`bb{KNIe64y=YD$fW<&QV=A zQ20Kr9__%{)m<2MX(@13P5H|W-E+MC2ob!YYpo`o6EVKj3(kmuYDz8X{D>iw@QkEd z5_3V;l4w&#OIlefB!#6QyC?vqkj%b*a4Ih{2|z;nfnuU5RuNM_NTe2AUMz0dym3>j zFhr~xwA^j$Skuj%k+88sA>Gp)vFR%dbEyH>MG#X+4Oo+A0p{o^UX^YLK{3yaSaJ$< z`(pl!4lz&gaf*5RBBPkUhR05^WM9m0RLhGk<~MsL6CL(zJWQtH7F`l|UR~O}@oL2J zBmNe*%rVwKRoV+0&l7<`Cy;2(aa@7x+pxcZ2>ZtT!~RTlPBjR<5X&Ya^n!7S{T~yM zxpz>IdC~ksW@o9uaSR|eT>@qVPH{MTVDn%l(2Vt%{~&Ig8ZVOl0snmV*7P@ zkza~c3_@(5Uo7t2gsXh;#=Z&ZQHAZurI<@Pe=&kkLelx1h;v0sw#ThMl>|qJ>cpf5tjGh0_!ipP6r}4pEv(l zxQI%anTEW8y)O;|4rU44cs~&kd-b3o_R9H(*gD*v5Ss|fC1sBz@j<+!&34B~%@)V& zQPo2#&IuytR7q7#nQ}7?IJN9NtM7nPR=zU=h$&^|`yz%+!VHqiN@i~?D``_kR$fH1 za!%k0!is`P3R&e#%sfpR<%Ky z`vRE>bKO`Ui6Ehne7!8?8qA5&?yt0?2-5j(#KM!%en@tI#UZ;1N>15LUu2Zs5A)b5 zmh8*!Z>i*lVRU-X*T!{;n@p0`xMw#8|E-a@g#j90UE<|KNt;PD{xks1s{jvzq zrj+kjMGTpQVI-CB%mP`y)257kAA&_b9wY_HMZqP7boFKYn!HFZ#VTwWpJIsbTj`5Q zhUhIowtIVa%K|OE>fTr?*WMmW)`lpXMEb86jyR&M)A;O1M3%UkX7Z(~lG$e+5;9c$ zAb#7dHM)4;S}u3QNn9%Ep9&%D*t7vn`Y7WPVGDtxede@kFLkOR1ercJr?aN|RQ)*A zr|M&04)>{=5p&|4y$K0G!Ni$0}6 z5sl5r9)X5vOyHU&ksw#43|X-6Ua10<)jw8Agj|_zEP=4|!c=;N-!RuP4hU59v1mGXt_3dQYS;fWor7|s--^+BtnoJ*K|pgS%`szABE z*x-M-u$lbA-8z!exOlMA{}6jP*+m(EGE`C45V;w5$0&;U6bD~d6fSwnho@HPoA#0G ztTKW}uIg{}sXgx`sUn{e+KePo$M=HL7DY^!(uf2t84l{+i7?}?RfNzW#HU+_OjaTMoUvLnN+(S2Y z>8idHY!bW4sGGQUu-=*=zSh5XC;A2|Hi%A5ng~kBKdkOqrvF*$bXy}$^Uu}8m*@`+ z8a1VyC`OW0G9}h0&r66(j#pH|i!gI2QW4(>dg(??kcnO%a?p$1jbSiHF0(Ws`BXW9hYDHq1O4b>DumrvL6 zXYKyRQ`6*`>d0xOky;sOYdYVAI_14ErK6v^YWFpl#fjQPRLMp~ZBv>kX~U&LCM#2{ zbhe-gwi+}XwS^B_PdbyW3i65(*joXERiz+h8rafhs#C=7m4%^hqiQvVz_+B;YBNh= zXe9Iib&i1N8G*uR2HmDTqNE!IMWK$oQhcjz>>VBid#e-|6*e7{Llx~Pp!Sl+du?}O z0)C6D%h>V~A47Xk@P4F4HX^9h^=27?^-ztqq13({o)W^e6b~N|ls^Zjd{UT5B*$<) zAlSx7Bc{tFEWY^juzN`EO$&=%zXS3=OxcGHWg}+ZlHL+;bI|0mh9)H?`X3AW`_ki1 zf4!$fA78QDC`cp`AtB3x>$rpj$C)U!81$wtovu!U5hLXgo*Dyov|(=7OVcQ|)a*_` zdJwl=Byo}8cWU>lnC)Z0ReK}}SLhvEFH>pZiOOtm0qPh`&W0*Ro*|3cr6HOeZR1Pw(AY>8NiiAeM$_-7D48E|M2DQkS8PbXEV!uXR`Td>DomF z{I_`VV*a~HS#A)3W{Fa_eDP#E#$l=ublru5v!OYKcPO9Xu?*D4khvKrrjW{K^BqMPkBtBtv1|_lfL8y1JRKy=`HY(!(h#N$IQ_)8;w22M1 zS_Um@jO<3UN$M0iTl*xQ)9U$KXfzD8tGN`&tAfn!l>j81;D@IJ0T{5Jj%^B-S@%ALiF%tNb!4{4QA@+WFzZPkOcC!JEVh84wTV>8#VT-kP{Sf%K!P{=cvc2fb%K z$6ORv46nBS!wtb)0@fB*3}3cN{?GfGE(9xv*U0}axkG6D1D!~m@(F?-%Qp$zz6czu z{SON%GK=q?uH#1Er=MuR@Kby9Q88t@Pfuf5Sl>lB+cfo#o2pJ#cB=-Xi)ekz)%t=G zlErp8>89QD1$Bnr@jUqm%p~Pko33x8JRR>np#P*5l z$Ia7gEhkH@<>VMziwi;_sbFg@f4>b_7A`YmPcipHILrc(>wa{o6%Sf%p{NW3rlzSA zEho@xYupV8d|J18NxQJ_#?3)LStFqG?BTE~a?QaGggk~l>=@eK6{AeKQ?(x#1| zcq%JFL0K4EeE{zg2N=U_p&}Sd@j3ht(muFQX1YNzDPVaCAhXHUor@W~z{2)t?Di{^{cn%i}!K&9YyndTYPx zGqK-KJpTLL81rZ{b@V-)Vpoz#<>BkcUn5S$8@;Rs*NF)6#mt(`uB(qc;)wB9bE?n; z!z)({+C8G!-=fhvHA;epto}W;bP@YYY#uViB)?1<(JimYHQE_MR$0Z~$OX^zp;;|r z58$K6b0;zeu# zLfpa>9=NhFZsys3!}Xii7Jd^6h)4w_PA+4=xit&|BUBoQNQpPOmwCAtx{qC5ke%jA3DB? zan(PY>+L@Xsn!2tlF7u#(^=Qszl%9>dS(4dQdwUWLs@q%G$fR4W&JO=HTMT~^*|t- zZEl>|&Fl^~#}aFKeyqJV#=uxvf(-|@9BqX}iVv;=S{#t0-N+_xIpuqqO)!Fv@%7@p z%18ndSrEf$HPos=Ip0sSpjPe}s#Mx0%Cq}#NorCH)+8`jo?%&>3^b%})%Pi(mz)qW zaVAZD{fS3~43~13MpM7<@kS!6aT1LJMsnFX>TWI=g^tP37P`Y(hT=!9Z``SaH!T`o z=0zo-0rA-D1>OijVbt)}AJ-qJT)5wXn(N1-kR@F}%$)a(E%Z28lWe;n%ZHCAru-v1fTu za<(vRj+iPF-`eCL7P&9Ow~q6nD(F}~EuoOh&p9&u)oB>V~iPl>z` z3A>!v$-LVSL`;{7jIVK!vD{n6^g`DJzaw^&kr-VQq$kEpb(pLPT%{x&*cTD;tAa?0 z{)})pC0{^qhTK%zU)n*05PQD>lBBQ{DEF1IYaJ+mub3<&MqCrv7)iq5ddF7K8-u-u zwa*=c_?v}@i5;&Vm_=au7x3@eLwM1Sil0JPSKd;WN*Ge@vzukFgIU%QnQm@`%HX=& zQxuo!Ywd25zHU3LVO9OE%6|AcnPJ;(a5UCSZyuv~!h&hY)qE6Q5??W3F(ymcgRKE?)rf^YPk#p0*=^blLAaoK^Q3$r(T)|8Wt4% z_*^oAe_8Q*dh9lb87tDC29o!Nv>;gKYxZWjOL>JxP?$CPTf9|)Psa$Gu>lV=qsF}d z3&$k43O=&yFl{O8(P7$RD$Yt^H#h=fOO?eGP0-9MSQ$m=Y$Fd6uWM%(GvP zIdOXP?5WZ`yE=w>*0s=(aI(#_-!`^P@_oVmG{(8Ct*)wEcUB}I#)SlKUKjH zE&~*Q15F3+HIpfoP&4O=%k_2>?k!|`a4?^dLjkpkd8*ILy>JSpM*ZWVv){RI32ApM zbiSVpTFp`C8@VNH3l7m+W@V_ii$$`p?Lh7?R>d(EFH-&j)_X`D(4TYB403JqW2$I` z`KMQ4VX>5p1DqzvBAk;ee%G7lxr4-g z>HHA)3;)m%_v)B5mWjA|I*Yhh#GE)iai1ZGds__JcC9luZ6^q@KZ~XBkf$0Ly0s(W zBc2Nq&8_o8H1~bM5Y4k<;w}@>@N^c@+-yzUKL9k!mhK_d0&FmAIeSCqEs zTI;MHk;Q4e+8#x}sF_L`6$({c>W<1ZLW!th=&H+?6;`cSwT8kiI}~$;x-YO+Axx}g z8ck8y>v*+MZj2&R8xDC4K~YT03S-DpQg!ZW8urvTX0V7c#Cf$4|AgSAvF>OGN+N~@ zlSB!^3My@)V$42_Kp)Z2^t*Z$qwDxsineM|E3g))Yqf_LOTPCjv16gwJ(uX|`EXZW zC#kKkkXJ$cwH9JaD(={JziLDL;C=sO&0s-&CwEU62;Q$f59vhx*hU(!vw=LrVw z*IsN*O^z!9QAz!wf7em0f7CHz4^Xdx=H}VC~ zzr+<9w_16Zw5mcf=Eg0RtlzCvkJh`u`QuR9X<-kzdw8wepQcx zP_I8j@`P1GDQ)^{xLUpb1rlX*RIh!>`YB7m4MZE2dsW(~Em`x|M$eMk=x_{e)V0u% zHu@&qj)Hab9@;4aEREL4;cKS$H}TMYXj(u5ZlsLJ@lkLD5;6O#mHm{xL~@=Rh~17a zM8Xkk4f49Z44fSuO0{6~1U%FTl0sbwHeVhD?$Fj9nKa*4g(YSa)i(UQvFF{;p`YhO zY)}RpJtnA0x&=bPMy5Qu2rx1qic|CN5ySQ)*obIczhuU{&sz|RJePYgv2lNr6@%=U z37AXXCA=;@GfOF?-)+}`7$yb#>7wQgolwe<|@jgOa&B3W1Pe1 zUb|TgJBqH{XgI4n>rnM)6j=r<(W5X8ZZ?^lmJ1bQXJB^$}aeqHE2*FtX!KJ~Ddui~2EENg<;`6|0g9yijR zF3f!#deIo{@VG*QA&hi!cZT>V5xNn)`IblE zV&G(IU#&p|A3fAzPXT_2D{OUo626DJ_AX!%{4>k!pp`1N6!yRMQ>}QYaAV40fiZdF z$^l|DQ=C&pDxTr1C?`*qVX4hL)ptjJc)(T!c1lhS+~DWrGRfLnTq_VK$uI?#_*~|F z4lc7%OlG*uV&*c+2y+Xbf*;(#OW1@r3MhX-7n)an*AwG;Q-s})DzvF2GUIgZMwjE%!)g%uVJ_est;lX3hwFcPS|AFq>`|*JB!P2^1 zKqpckC)AGg@x_WX#=TseL3!Xq#<+7L5GuSmy~rm8$9YY}0#YypUr_wHLr}=wYC+M1 zh&3Iq=8+Z!6y(Ar8j^4=9mV3CkX%p*@hZzL-8&=L>^e^YtEhF7ulU9JUu$DR@)u)XSp7Kh;w>vDJX{x%A{$J z;{Vi?#^&)Ue@;cP@CHJ|sZU9SaJY=UQXa!(^0BV1=cx=EFsj0ry7U_Z0u^4H9e;~n zn-r=&&Yo)VQ+|*^hXx=7NB;Q`J$$9VDJMEqeY4#PH9U^aN21{bFFTBUQ17o2@`LQ_ zQ(4$o{JLLXtQ+R_aUl--dVFh{f|z(ZD~Rc%F(*zR_;;>!wXTfeYIQ9%HhWJHSzfuY zU>Gv=*Rg6Fg`8(RZqICLk>)do0XcM976DM5nQ5vRz@_}N;r3*6|B#g~F;8;_srd)< zL(Px8!cg;LF^MV@HS=^9H9u-i+&3g|sAela&tKk|nqFR=p4p4ou1bCP%1bXXF$osG4=pbDLe3!bh>90rNoD}_tftT?dd@)gRB7ixdaX-rNF1E6OHNT<$pNf}Dg+{@8P9 zQ2bCGMm2necASAYZ6%H91J6yu!iX-PG%#WsQ0y5+ND&0V>JKdrLamK<)cBlchfz?j z3172of_|r59CSDA(9b&M_TB=1P)Dq`-wvnJX;nuNDiXFJsvkl=BIX1aR}EA1pn|k* z%{%aTVMZF%Mu?Gl(nwlzLIyPv>mhtA;v2y!YY`Ll;gwGDp+%B!F#FMi;W#(B8)GoL z=MbU4d4~LRAAiW-Mw;dPo-#pvk{%>=_v7m>WhrE*bP?a2{P+g&V--baxF*<_thfxn zK!^EfwSg!OI6=XItBrll`aT#neD_JA)*YLm#EfMHu&?q6EN7F%3(JMc>cnITo{u`k zXn2fOGdSh#pa+$2WW0)>dYzO_pcF=#qR2Pj%`)DCNpOF&wU=#L+AD%l6x$3qJT%)y zpO{vYs|mKsjW)RB6kI*<+kg^U`zbh2EfAcVd^qHTZqsHckcHaPPJ!)qTeLLf$ig^Q z8f)P}uO14yo-jU=UD_T~<#5SehXI^FfW>*5&6lP4cK`oyFmwAng%0e`&!o;z;*Qf> zqg{`xS215=x%DtpE^0wg1`-_r6-rROowbG8vTS#$j{D?2Dy!jRUw%U1(xbG~W1kij zn-Da2;~wR@kqy=EmEZJE+5kliVe=|K+$vsZe<`5<$2md2_FTI3opF}QBA$FuZS=@T z!V>il#hlovrDXPYDUODtjdN|htT>*O8DO&+I@aK0P>}*WgPqGW$}3w(d@7>-al-vt z@+uN~aMK77KPa{<1x5;O#V7CuabTN0HoEurVsR(5*Aj*EAkb$N3BeSITr93F6gH@S zqDD*A`s@@WMhE5}aw~G!kP2O9v5hoNN-89b>Cit@&=3r{r2PJ*EW?V3rY)F}1CKg1 zj}}|%ta%Rm$u80qJ?Z7KZppx7CO)`_h*#VS00*(5@3=mm!~Aer3HU>@!6VxN?c(2Yk`wwHV&<~Jxu(r zFCPBNnjm)QZ|?)e;ts02$ptyM9vnOVV35aE5wURKV|4It^z(D+IxSfxMXkWJiYU5z z7lCf->PsrKcYOg3|nntwbN-^DYl+r;;2(2Y6*-h{+S3;`f4fpBk~)Oh^1! z#}Sv1F-QD8zmyappeQ#cQJ#qdxS)8BKv_l(;F`eZ07-VBB4NpwrKSHjBBlRa7o1&B zgVknpg94CHCW8`KsKiDcf%SB_A-vhxfg(9%Sx28B1VmAMytxUH;2x`>X(Td#loDu{&bg6g1)AP)~5sgxsT%mPa$vvOvR)ZVMWH9um;F z?eT}k25yF%kw(R)B-G`xPa+6IP74=`?PDLB;3+T@+D6usAPj>h%t-U8%c^LbPeZeQ z>&)=1$7q=vZLNLx+r!q{pA>`oFz7hGwRX`aC2^ZA%TgQsLZI)pInkuD(ryY_X`gi5 z(IIp6{bJ6D4Th}Ir*EY`CZ+Y9!lU;J9mhJ0eI63~ew$c>B-JZdV&dw zmosBfN{G?-TnCg97g7hK`M!%z?E@N`eT!rEMVgj~<43Xt7bDIfX^y`hInq=V0@WcT z`xV~^T>e{5xKup%J)y(Dctu#&d|%AzIQ*|$?0e{WQQO!MCp!-Eg}qHtgs(p z>oC)4h*M-5s$K`J<$QbMn{%0yiYl<{;XXQsIAqw^E9EJU)j}1@9Zl4|oo-IkjW`hZ z;4MIx*0Aa;9okD3sQw=T_8gDxMR9PP-7~rC6xdOU#cQs=X;We7no5Iflw4nKOmqsvKtG zXAR%hMfeQV9SEKFew0pWOz60G7;>nBEq;P(2K1xh0A*)|HmK@{QP>24bh za3O+FF^Oap<(-1vxRDcmbk~XvN%Vw{?s47@je0p3mT|K44&x(3^`7K+=)2>9V2e$72*O4a$yq0nNETW3cCf!GoA$31nE!0yNktZ zH^D6Af#m%f6KF6c))t4g8T*4Zw2y?@C(f$Jf)&o!m< zO*8=t*f-(E>rk5lq_dQ(NXn#lWN1Kv(CTOvCvGNMc)Ub_TH-ZybV`Y~E{|8j-wNV; zdBh?!9l@oJBPbzaj^GQ_5qvz+C_o}tDe;!+Ji0(~kAQ#1^XQr&{dq*R>DAY-+p$GS zC0`Di+K@P7=D3j_28GME_wjLICj*kya9)HO#=>citJAv$bR;T5N9br?tvnj~GlAa^ zL=2jVd|64@z1B0m8tz3WvVJ2#J?e?7lv>B<{H9>l6ey~{Fif9N@skV0O z9mJ<2InWa+GVWq%>(=XUTDlf~ZB9S*5k)zGRPM~!2B;Sdy5*2PoGs8MKFzZXAUuuh zgk5r(N&6AvX2;G=TeX2Z(CVe#WA}f-DK%S=LKNqC77sk$)iS!pLhIB z;ItMtxXq8kH0Nb7Knw+Kag=h5qitMFu;GzSK$ZIA-v!DXPJkOU$aXM_a?5kaV;;FS zfgx{^zY%$ef?o(CI4)xNOvj_-I398@=6JN!@t9YL3mC{{<#-TWF!)8D2f;N#`hx&_ z*!3XJ_2hz~gJ83*at9r~rYR%7iL8N6bwU*c;AW#pxSS$Qi?B%Xj-4{Pl5w~(oeio< zj?%x-*cxc>Vl3yl72(0j`W#o9Vg!kXgv}y<2i6G)d?B#EGGh2lCt%od0_0xI3D`TI zpcb2#>&cPyU7KGbAe~VLxF)bkKZz8J2>o?go#*moauHlFn!s1)Jf|X8k_|*bA`W*m z>LRL)9x94h9fiiore(?vKvE7Lt#Bo8IEyM}7CoE-O;;k6>Zo$c0{z4UKGM*XDP#_< zQ6~dFQ>h*HJz$t2MNZkp*L#W9xH$rAxi8qb#;*K>TdMUxMT!+IKtcS9~c@JXh zR|;-NaDZKR!-;t4V}#Yg;3fu!6IHYKali_3pjX~?B+!BXsN&QMDa!sP!5t(kO2LQy zh~*UyK5QS~5T|(XtZ)$F@i=H+ltpBChb#8M4(|v}`N1>8Q=UZi^~uVPwx4LF868ye zdoK=$FP?KoP<@2Jxf`$!B)|IQzwBJ|qjxr&bt`aDer^v-TiBSq~1aeCyU4v$nvI+X*%4P1cQv%M4W&w90q6q4!5nb}v& zI*Dl-ROZ)`>m5}cTMgQcaP{_%8EcMGiQ3uPN%*byywrQ0Ks6QvVeX`Cda{uLcu~6%Q(w`)fgBd*8Bl%VO#A%e!YM`_#oaY zyiY#3t@aWA;-mcfF@F6^e*HLJYoDN(PvT|E6KbDQfBp)8w$(n(ub<)9zosvatgXh_ zTaK>%4gKrr+GqKz&++T$@p^A9gdif%~e2HGZ?0xnXdiPa&`5L|a zExlZZ-%kEV?dy2IZF14J+Bfh9%cy-~UAa{tmsY!9e%c{uytv+ke5IttT(3Jq;gjt1YEDiuCd*J^5XF8Rl=6(T62^ z`5yi7*xGs6;lbKt^u)i?%jNj)-r6Pf#HIA|eSCPZwgPVt)_y=gc|vU^|Kq9j?Zx!6 zg#SH+*L!QL=>6nBZ3FZFA)ek=`!~Fzz~hhb2WPbRL?n8Tp;<$tLn+^5;8g#KZvw}< zw_x=pYc7=xOnszSmpY*z!&#lH{CRjT=Mk*^7z^-88yx8re~q|Tc3~0?uky&1m&-NM z2f-D7G0qAdGsRnDw|4qT{Q&w=%epb zr61&FALJz;~e)vl5UI~mI;iU9fSi$&Pwb;A?G1_$H=*c5XQ(^ zPk4ENUS8y(X@uS}nvQr1-Z7ePIS=m`P2VA`F`8yPG`*kRF`6DATrrx?B6KpESleVY zalQ1)gIEu)FcBQcsdhlkO`0ndyk&WvC*aj-t4i4|r>6YE}trW(uS-&>1!ug41s z`8Bh(>H@qyc2t+*iKidbzKh=*u^Cmt?|XO-+yFCOGFy8L{|Im?Uz3%}NA1Un2M4c< zJNPdW4}Mwv!H@g3q+kIDjJxtDCm#HY_=7(s(craZbaEQ>@=AK?(aU@2 zy(~BrFF&Vu7t_0^(95;-auvNy(95&wNiXlCmv_+1SLx-m^zvhR`B!?OI##ul z=!J5nYEP#Z${woSLNAoiQoDm*D7wA&HhQ7^N$u`y81E|e=h^tP zt+reJqs;&COK^_h-*?PH(4UCk*GBQ;JRtqiE!NLwIg?znVVM_|yzE6p( z&C@{>N;kcf-ccFzZLGdSGf8s6=c^6zfK|Hwv%V=Bb-1@<`6TRC%R9}HYPr3<-5Ooa z*60ajqPO*1Xxri~EKHRVYMr-S6;a$xwV!vhd2Sf>(HkSPO3ArG>;Zs&pbw0PLU~O$ z-a!4XRDG-clkg5vA~G68?JZ0+Ii|GPL@Yy#O@PyA^MqR#iilL<;>D5*lV}%3-@*>S zPfRquI3N|mod56wc{hlSr$?T?R(RH#t*7cc%odt}?=aWn9U%KB60*HTJBN1+7dGMQ zDVvsvFT|Q}&3Dc3#DbJk%4?;I=hoAf1lJt84(i+1$M9%5O0K<@hUU#n0<))k@)7{% zQ+POVtb2<#;GRy_p+#On{qR9P);uInuK%%sTsK$9;e7JmZlh7@*w=gjoMp&bVRERB&Gybvyro3Er4%szn=@=}K;SI}*T0sGeMfPHh?As+V7`@0G^|Im+At(4ff7&zrd#E+66b_eQU z!ne}sNZ|iXLg25N!(?ZGe+sI>(7Yw2Pw9CzIr9kN|Nx>BT$+Sbn27GF^GNidH z%4BvM?2F^LdHz&ogI!IkL<%scW$@?j=v1Z)E7$r&PQGSM`I4}gC4};2F`;}8LVBl5 zD}B1g3i<`rL%q(HdtSV8=8=V0{36(BvV+i99r$v{K@o%La!iIGUbom%p>UoMG{8bF-{(8b@ob&1^M-5w|@Z>8K zsO`jQ=L$D5ch?iplG&d#g!L0KZ$>?RQQ9E}4)4>h?oxjT)=dIUMZ{rSl@#!CjRvQU z^W?0A1SSt*V0l{b`R8s~+93vx0W#g{%D|Gx?Mw>xxTb+cQ2NY_Ay_{%Euef@Z%aGG z;9(tz#So@HY*?od2EIH|hUOGQ_^Y@ptj%~<-mb+Bfhh>p9NiXOYHZM zAnA7|AnB;6Och1?r-Yu`^RQ{-X+1mSwEJT*BereXuzTNNuK>~jAaLkD1>*p2z}*J5 zFyQ!q^3IyxYz4%dcDUv4FmjgJq;FCqs2bNKZb4L*3l-sDYrxe2QI*ttx&r?wauARa z0VAM#fMTcXxLX$}fNZ#cV(gpn3$(mLSp}WV2QO?FV^Cca6b~FxZ3p4XSg9v|RQ`N@sF<%kA4InG+{Dzi>&ZtRal}qg z)t;&Hf!*4L&t%iyL-_Qp8NeD91TXJHX*TX(h(s1jglWNFMfAs%I7YS@gc%}6mnaoO zR;RjCNV927bS9Zjh&uUE_OH2fSmCa!`#n z+c1jJ683O6S~Znx`P8+iO+`sjQ;xC$R0#u<)zg`ohQ>_2w^VhWkxFNO1v^}`;)+W- zKYZn-t1n-pC>f;=p>H6Aro~A!{Z6Kl^zOukim1Rbgn^?xh9W3*$`J?A?lh;dmQg^DyAO?`sR~90 z>i8F^HAG3XQ`NB&mExm-di-`6U?l_@Aai;WO1s0(*1#>I;-5@aWvI7+NJJ`He;q-@ zp&quUgs4j%eaH9W#C$1YvLq2O`owtsY`2~lIx%uz;K%I#zUL4*3<+>>_qj6K;q0~Q zAgv7_Bo7(ePY}PU{R_c;f+e_u!^!p`lneT9ay$*yX0g!TQSA;K{fqEgQp=n*q5sbA zWsE_#!+Zx*Cc9|%7J{81X=0Xxy?V#-zowA*H(UF64AwgaAAmblW_t_uQhLYZBOG(w zcdMP*gZ#w)a;q_WZ|$wL_%Kv7q1}aVZG8tM#|w88+VKIVCSfa|mr^7519#jr;+qYk z^q|xS?nAnF=;O-1AGz~&P6qzSov)vRg+Gp{JLmC6-Lw)tq%+QwuoAK&>YUgYni!<( zYgb`e5z^hCg~0PbgqatA5)Lc7awo_7Y=Aby+Q#)tN8;EYmHoc~3OLGPqK8^xohnPS z1xn0Ts&i}Q#AO^yK=0CAsR!2{>$X?W+;27JfpDGb3$Rw7Z)#SMdQ@H(uB&wvVC+oJ zZaGzRqT4X6;=dc!3J%Xhw{&q?r)&Hn1GoG7(ZT(Fz8I=K(C3@b)%s{YO`i6{nx6hl z9Eul$RN}_I#APY013VuCCsSTD8FO+V5Aj?cBL1Eos zBnl*bo)Iwl`$56vn|Z+`g;MmY^NbXoNxO=ddqZeJ`~!U8)}3l?kvLYuA~$_Wv-~uI0d3&mOIpyJHmuMP5?ERkcy+lvb@+wPxjtRjVX%MLj48?yf6zk`QJz)mk;d4&as1^kiN@oNXQ7JLZ4a3szT3 zw%Fv4#E$=JP&@v_{O@?-N)jL_CLjce{!r}t;X&>CTY2sJ5MiZ@CJ^qwrnKTx#NY|A z2EP!X{l%a_`(N2X`!gOQ0jrFqd7l331JbphjDa)i+KG1@OE{DUwd3OBuw(EmG+4UmD&qeA$20qEmJp&>l{`~?Bgp9|g97e#pXr4=hIqh92b0{HDg0e?C> z@TYi)`0P}fG6iFCST|oXs2$%k|2sZr<%%_zUvimc>hnGonEu^C?fVV$zwd>Y5j(Z2 z1e*`VuHQeXUB7q!cTKhlo1OAUV#l8!)QB98`(o2uRz!~+@q&q%l)ru=FTX~5kNWD)5rk^sXeV;x5`&LeNOM;jW z#je*3YS%00f7i#X99|Lj7kQtGeQz1mzOT(|-#IYU6hnO9ikM0=L~j8?dfT&Gj@I#` zb#E*ch;5JMNNMp(b$-1N$oLJXzBr5iPrj537H?e~%D1v(=qH!q%=og3? z9f`*8?Ux72(5385m1*2;BgK$1h$k9VG+U#dWL|R?&f4j=QIV@arJ5U+${128{S;5m zFIJJ2)StagS&P&g4Vj44v<-83If$kVA*DwwM=B?^P17mK=*EURg`6hg1Y ze87oQuZ@^2Q>Nnb5JKg?Os3)+RQAmwi!N~rNis??lf7mrlcdaV84maKpBPKsoQ$s1Rw*t(%{C{x|RZ(1yVLJ z&H~b>kzI`wqsoO@$lbMica{r5+ll~8}uQ$k>tc3j8zVzLiMOqSwc9&-#-aZb8l89JD9U*=%G@{lA7 zX$+Msm*+9}9MgyL#fYEO9Ty{Ilc>mj;|D_if&`iDljlE>}>xgDR;2CBqZ>Py)bYnyqGcV$!c$Faj=z zW~LQ1Uq%rGu)Q)>tmsrx@j-D!E|fq;Ca41?F+wn`HWY{UII5lyr=xMlTV13AD0M=y zLX=Oy$||E62!nz$RB?)Fzv3Cxn~E;TV%CVV7hu`rki4FDLRACMtsG3dT=)4rw4BOV zSCwnSO1Zlt)nCy}6Thga6i_PsN@KO7`RI=XHmp;7EErWlnDtHx!QSGd;qL_z|14s% zOnh{8h>yyBX+FwA_b{8UuhSp^tREOMHrck7_X^<$9TFy%3iy zC??6A0=F&HsYmgr(a8q!8fI&hxkh9{ybT?$F(b6dZcCNC#$aBxb&r-z)m-pJw3x<^ z+J$jyKaXNNJRK>4AdDvQewv?ZQY$=z8FtSF>7`CPCx(jN~ z26YF*nGd$MU?HzsTj*XAq$HH}*+uhrI^3+POqCm`+Z=s$Q+mS4Oko5%1NYAuYwm}( zWA}1^QUc|tJq3NH(xTfV4b64Dcy%an#X2xL=(d_=x{Z>0rb=s3nJ)Zxyg7>I^xzD7 z5R}$p4T@DBDkjAl#KdDTEb$mvcJMQ=xYtw@>XK2F)ZNj)?y6c};5N{LDl|W@3OW|9 z!&od9kN?x4qfJt~hy{}3reRqqtNIwU3NRrr$51`BrqkBgm`)qYgZU=AqJJ*+SU7Z zvAE&?vG*o$avjyZFy7_yf_H;4a6NX=Xqag&UN8dTNU|(z7m|#J7%}SU?wRRUPxrVN zjmAb`mJsyPAp|BH%VP=a$Ctbp!b<{VHH0K&BS1(9Ng#$0LPC;90^z-Uf$x7#Ro#0} zRrQ_QeP>2q#=oCiQs3LPoI2;!*^gmmL~5FtNOe16=sy%Cz|)%0mdKbENj*A1gdkaRaf~SB^53ID*|B}2~+k#=#kCpc@Ck=-5HzJ?>~NyRsdG+b_prb z1?;pq!;CtSJABC+KD8yL^ReOKeX*OBsrh7!sCh?>{HTs(?KlJyRxtF13u+Wrj!Cqt zVL1gl)roQ)a)OX5rc2dXczRHVGBzJ^5Vjbri`-o6(td0>>kOPjWol)i$2F9s?sbb$ z-y}dH57!~oD?KnUqbudc`-Z@#Hz!P(iA=XRWGeS&$n@Qhi8B*0lN*tTl<6*XVfF@b zJQ*p_9ln1G{FUM1ouwM;({dZCy^79MYa=#@-X)}As=JH}k~&o3ay4=_Sw*RgEY+qj z>MFBLBx^y0S^*&nqiWHbdbO+{jRjIn*5l6wmeve`kvZ# z|B?n1-V<2$aKhx7DDe)566HP(CBAiYkm=MOdFW@C@!SNgZcUy}h^5(sz7Q`m%UagoTYi`Bky^txL3bW!Jyv`NqL#nz8J3 zK=1-FBQXDq=L+w6tf2FkyF9Uj#5#L-*7Mb{D<;q?CLpLlFJM}}I{yH1Pi4u<*XDtT zBu&&P1R-+aSa`O-ub~+;y@Lzr-y>ilDYFlT6Jg#i2keK$R2gqkclZO=@ab(NgS)6W z?B-xAbSG5f=408oVNY;)$95bKxjC#8xyk+k1Ka+IfOA!>ZVBPM+ktagOqCJN?(jC8 zdy!Tutu?qz+xXBPYhZ1K0E z;e2oytyCz+xPT}n*tMvA3UmMH#CxbjeonsHTIi(rZ+6aW!i`^A*t4l~4qWyNl|6t& zWe%G;wNRPIAN)mA!>UAIa5d=H(g{CA@9u#cQw1>`UJFL{z%s&t>t-(nU_Ys@G`XSifh~d)hbAouUz6nq1;|8BCda7_PrANS4Xsb2zY&N14V7|Jx!~A#)BfxT z+<1p+C>+l*wU1-1@^P*Tehhx>j9aW5jGM*@j2w?=V5GwSFnO z^4R$lB5@`dEP58DX0g=AXxW);4 zb^;uTge?}pyx7n=UtK8~K(WT$MsoMj*J8upJi{9v`zJ#G)oU|&!d#mI{Ui}EiG&SK zZ9zM2zZ_NtU3!y3Gq`ULMytaxQU@D1N2(x67MgiVGP^$URk8OqJC;UmQAVp7qhvl3nW^}cM&IcgGKnf#CtXPIzg#b!q-Iic2FRGAB_G>{@R`MSUw`}5sCbTW!{i5!iKieU3V=qRA>^HDExUKsad;vhWl{w^`*sBaxib zZAw#R2!WLHI|n%w4Hui6CDb27>lP?*jW`gA{#~T1r0XWKoV{f6v(Ij@9NT|3WwqW_ zK3PK3SZF;VeJHOeR4+1pgH&czg2BuTR6nISAkkoIno^d~9kZxVhBPG-^tB3>3+{zh zL-zD}BtR6(MJ4I$J&mUzz3T38H5d6zvby!QJKjf z$3$(+#_<-k{U*#q(De!?u7Vr+)?n~!K{X=>71UF+2sKbHh@c9U!)T?H%S(%g)|5vN z1rE!e%_EV+thD4-fczm&maBgJBY%4<+ zE2%JY0ako^?BpPLAOM~EgBQ4`Fm)$Zn`%J0rPylPJH3L#B6#aOxiT$?^G~1xV=)bA zXA|g{3>ptDX5MhE;RI@N{NGnb01VMmG7aw=f;=}SOxOo`Mp2bV9rBcWGrGZZKw#wl zUZo^NF0E2hPn0AuS)!M`XfnxJE+(%PMAMrBuhph6oog)8?(jER!*_Mj4B56&ieuF> z+h`uwj(uHGGy;8#f+b+e;8}6Or=@ac^2HP2Voy-Zqr`alFKw^Ey#eNquML-F zwh6hYI!`hUC%820vmk5A_eB@==tVHqaw`|?fM*%*WV+orTrZS&yo~XXfQdX^hcRB` zhk@jc-Chz%_2PtSGqJ~)I_y#IP_xI*J2^DyQGILzU~(7ooH9|N3$O#?Yyhw&5ce*E zsy;k?m^>47Ho?=rWvlWXh&+A{0Rw<`d2}Cfa z2K$MQw8#dh0*h%ZU6|PnDJji^gc(JxP0}JLk5wn6fo4cXQK|Cz6DX6yQWEH@NH**; zEZd5vXf?Gw)dOJ907up;V}JB-h*HS9EkpZ(J%9h+BYU*ndp5s)K3P_o6Y!Tu?U3XZ zE=(mk`d$#2_40)2GLhoALyB@|h7`a3#6$sc2of^#%rlX*H!^4M4g?5AM7H!vh3o(f3TSLh(F(6+H^h$!Aa@w)a%aaF2`b|EVE`!n=h3PPF zy$nwi>+^B8tV^#dhVvxx^an#O%)^R?iCpPu`m_T_$2Z z<`ApgnIYC!p84Yt0FkSd@XtgzE_AICicSB5%%%~_(QzbL;G1R7+ zLV=rd?HH>E6w69%rKR<9!(>JyNnHB@D1SiPdLh5FiI@YBNL3&);+WSD?8fP!h9dF3 z(C0KGn5nhTf@eh$A1aok&AoU6J)>4fyivO`OAI?E-9!~= ziIvgh)Vl!`h2E&U?eMKFY2=-da_?JH$6yiWHOm*Mc5|o%3t26;AqE~24(LxdM^nJ4 zf|Q!yz?6eX!y90n05Ps^R;nlmXI{NQQSMNc3s9(!;4z;9{;p;gKM1z?U(L}h<0kfK z96ADwfsLUEhFhY)TKJ%!=-sbl_&0dBd}!fXbG&F?KO@_^0dbqH;^Zn$O7uN5IH|b2 ziqyXwcVKg(7v-|EhA5Q+;ukt=%Cqx`y{Vzg_d4+3$}m1OyT6wH9Yqv!%+sc}nskS_ zc)M##zl~cU?~Nzv4AdsZORB)+LgkZqPfz<^{8i;5V6td>mgKgjoc2>Gr~MPW*BL03 zs?~ACi^ZwLP&!#EjI*S^u;;AKCHxfjkUUv17EbAWiAvHk?aR=)YoCWmD!Yxu z^$4!#2ry=1uDpvQ4OJOSOXaGPWVwBRHrEejF*m zZwQy7;EbL0KNBKKOPr__4tv3A6`^*o6QQ>4tu_wbFJ^=`@D8|wWBFR0uOTRiHNH6j zfPA$Rw0Wc#P_+{zK=9^`mPV;5sDBFkFa*IoR0<>oaQqo(N;cXB_T7?38Ko=4YMZU@KC6H^%++ma0wVl#4vB}6lKGiO_y$%JO^@cpCN z{$o1sd!<}99nlFIzmA<#(@E2xhLg$T)hhJtd!>=w#2|TUZ02U^9sjYuzTd_R| z6SMlYAmg!Bs0PNSk`1bgV<@xa7^t{!TWIB8l5WyiK@WXgO?OX9rt#Y;&5>R!C?>P4 zpodaU+rJg`TxkWpB83&yU8ci|Y(v{0*oHPv#Y0A?DU8C=VaiQImuzqha9 zB!Q$Q>itT23?kw~-MKKLLCT{5GgaIlacCTbK_lQV@GBz38v`H>4HZGyYDZ2kP3wkP zA(~rS+Gr{819EXz>hMO*HDgyf7XsMO>(*rSz`QtNdGR^+nl%P0g28m6uf?7E%7mf& zxbz|!Vd5J$p2}Sq8R1IL*=5*$EWSiU48*<{`+w7!-anUAR{HSDVW$9rJQs;wy$B|b z(aS{vhX-_(I=Viv#gU&m$1jd3f*jWbX?)IyTa5!usRx-*2OL3WW~N;$x8`$*6>E*_ z?2^b|-P#Km0O)HVlxM2d8AKz1gA6G?5ehXrE`f&_uOUiRe?feNV#pD{wV9d>fFErM zHms8|3EJ~cOwLdmNBxFN)l~PwJwKTutlp0r?ei1U!@~cg| z8<(G@D}(-m5W?$x_WWd$-7WnaB}3bqn;2Fuo8rjAasKw z7fk4eFM1(4oWzZp$PiAF<8YFj*$}OyURv0l^N=rKEIp{ADj=Le+(0y7Q`{h(UVkja z+`kfMEydhkG#wRMGH-{L?0(hlKxYfTz98m=%46%i5ALteMcE1_!X(sqhmKLSt1h5v zo6U}`Qwl?<-8PM`3ZYlS&lKO}dMYGzMX{r{j{3|+mLiq1Z-|{qXgVtC(-L+ePdM>S zah%^uSU@kwskN3+aoznI&pFE78rAiVtOp=AB>`r7~D)z)~qcv8oDC%)UN zBV~~Ez*bYep7=KFecG0+G`2-vN7y;PCvDiqTD+aTJ!E;Z)h-PRCQRr8DvX+JA+TN9 zz36CBVUUGZe@yvXQ)-u5ittkTLk6O28B+l`7$N{eH#^WMPjOQqy)=HzTsPdZfwPH5 z-$hZ8qy{42nk%&dQb-1EDq|VF9sV>1cJu2abP_=nhVJ~h8U8wc3`Pwlr6_~~V_I0I zm}ZXumuHEfslQNB_kA1Z-4S6Q2_ntnMsC-Pz~K zc>%Nzq>ypKK!J>b`5Cn=gAZN;i1aM=i(H{TJFiu$83m?RCnD7ulIC;am+Q}PRXLL3Ocs;App1ONrBVm=xLu`(>Lc!Q`s*a8d5 z=HSL)SFP2k7gaDMKjqA2!*z3#r$IW2A1O`??{c@C%qfk7yS2S^|p$Wwv$gHbWwe}q+qfsgd zc_T$Lph8cRikcIImIDUJ`v%9t;O^cd#(Wn?d%@;TFH%)Es(D^4H_?k*MOwfHg5v1A z_QTnh3l5inf+&?|WE?8CuD3CWkXcpw9HEFaFuQQO5e~>8)BJ3mo#lFDklqyPFOWSb z(B8l3JR&eQVO_fsHDd4BD<~b{fo~Tp#;5uw4}F!$0a&xexUY;iEw09(Xm3h%j`a zH2`oH&Djfh%*p{upHqCoOsRoeVM-MRHVhU85&1m;UlA0nmsC++hb1q5AiQ{O9`e$v z5Cg|nWr-IMpruh51fziO+&vnitFlB)5Q&QeFy({!@WpSWf>l`}g)rr%)KytxRhEG4 zky@Twl_k*|u5T0e(=aTZ-fYf{;21U8!BA0BsfSU#b;tBlw}E-;=bP?-EdzC+XPD zqnIrb%M^VrkmQ94L-&Ftjz#=E9_*0&FcxvtDO#ap6FZlSkwA5LN-w5!-_9Mn=xQPF z`oK1wue-pMHbF^ApzOG!4%F^IJ$$9Q)J&lh3a*G^Ky*-1Xd58AmidpOr1kT7ICFwk zJF1tFTtp>QO<_2U8nTi2!gdZtYQ*u7+MGx6D#HQL2Vowh3DZs3j15sd=p9h4Y6AiN zNZIOPr@Zf|GB#lr?xaWKGDwsa7%@694C(d_O5NiPH1X3|kr)9)QwM}fxtPC;Dj+vv zOgKyPTs4d)6h_w&yTvki?Qx?j79eKj7jBGMz7?pH5jq48zXj`fxc_RYrmC4V*Qv-6 zX~*9ZJjg$x^B$zb9^B07z9TSvA)>1>iq|qv(YbOX7Qw70)cz{O&nKgN3lr!;6}Z#a%^L#OavFsoVmOS42yV?&*#nC3nP^@ z%7p(OA_R)X?}uT1LnzA}LdH;<^QRJcK)H<(?9tGs)*6}|+*x9- zK$jRb(p2biO5389b#YKdZjpnxtkD`6h;TNfb`wJ}XcW~Z@~ZY43f^Z?92)IbU}6+! z#*efubW2%&AG3*W3AZ6%iPI2D^h9PG`!%=|R0*H(C=>u_{_raz4GvP-S5=RX8_X0%hd`3BRIY z;{d|RIX^2^VFXY5g&5%3?f^7N_Z-s@v{nbWvPKUUY6Lf9P2r9u$dAweoN^4g3&^pWoD-h-Tp`SPQ(5kRcER#Kyr?c## z<&+cmZx0=i_R#ZE*h75_wM`3-?c$vtd+5{I9txYIRwN^17uy^Y&7VHIUk3B%CAx`J za8Hw}2@0c?^-S1r-YgDC+HZQXTq*PBuRG?=hd<|cN2f3dF*ylBUvy;~3B$p(qW%QZ=c>&!kE5gaH=!| z^Y41~$LPk~t)r6&Uzi@H`lihmOs1iPNahXeKQh5?86*c%tpEcua#r)z`Ne+~Q_{8! z9$_yPUEHQVBf^w9vX6K^rK66-Bk*AGo5{14U4{C^BK(LlRiRIG_N^l(GeEp3f>F6A zUZadEYm=yig+^6O!-%>(4)f^@?5Z#`!r)82lAF0fX?U|X9Jvd&NPllqyqy2pO0 zd4jyxR!{M&D z^(xY>^xbb%tT|i7B4sPb`3c$wVYPecoS7xW8R_$Zc`Kl4oqfMyq|Z%>>X{fRPiHaG z+fq*4KdL`jqWV))pt^6NsZl+>=-OGYylqN)y>Ii)8#WxJQXwy?<#IXr$?$jmXcUh& zAC)3g@4t>?SYc%_?24Z;7L1)4+p3cIsqt?W!S<%=_(TZqzIG!jrJUlRP1g)M8 zKhmKWRF4eh#E?cajh1cX+zpeFkS4U13_eI|E9BOarN`(E2m)Zao@)J&6hB*UA|i#P zcTTuMK{Vu8fzi#E^2p~#PEQfZRkNu3GJ)uUO}CE(n>K8^1#P37oQzeiBfpVUh%$n6 z?t;DmU3_#8aY>T&!+@515cNU>wMf&UWUV&U48UJ$1v^f{Ra`?0`t9|ZnR1g-&vF4b z7znq+MRO;Oo`JpuwN`nOd(WdD&H&JMpxWjvQT;P@kxl zr}#b8Su@G7H5e1QrM8LoC1R4$qUMjdd|B4Y+H0pHVk(Mjgjh=d+hWZmMtn#e`vX$Pbhc-w{hMa9<{+kf)`PLVOFg zr4VPKANRP9E-9T<&WSerYZ6^WJ|BwhDsm>h-ZSa-T6m}Hr&_N~jnZXjB07^R(d=}( z9^bNEYGRew$nHJU&(Kb&p~~yzlg_}MDpeVmnbdvb4+L5Kg22M8ZmNF-Y?RVB{ZU11 zgTD!x$P!XMDCYD;;oo^k2eqr(8@P%b<;e8jMn59t_#&tfEpnS26rZPB1*nT50kAYf z3ef$U*hc@L(^~S|N%v+3byFIcWpA!C_TOPl9v^=|uaclpFh9?+@D%1xQx$@0eM$%7s-zamu!ax^@r1<-%B05#@y08VDVj6&dTTlt z?4T%Xj>psDh_-uAw98d=&1la;dZb}YK6jY9JwlP32ofe@Tmn%QvYwKmv~5}KlbRM| zUDL2&V;&_IHQN*6zo$#pS*j-?>YkwYJS0#G7e{ejmGRDUA@+eDG*i>4@5x&#Lgr+l z$>8u1cd(j%hQPm1C*Ysc_5H%|n9Z1~DOT)zG5DV+4BqXgIsptu^PrRJj|cbVMp0T;g^U|$F%}c39#V(V|2j*#bE2V}g4;C~g#l2M6 zKUjrM{KMOk_Ew!&>_+oGu*bz6XT)8~)VK-`GN@@_lX2Cxi<@lJa+8s&O|h1^RME^= z>cv<^5zQiDSyVMRxK>P)i_6yGlhYS4u}7oUMw(>I5HNzhpjwJ@-r+idLJJ-~MU0QR zBJ=Udaw|Upy}mUM&t@61pGE#F?XiGzuT*>q7eCrlqv(-ZCJ)M$WUv6`19Uf6#0_#H zU&V|#C^`oPU|dd6w`;?uD~Nn6%K2DYFDh0tUBR6L6YB3m^>5f z9`dkmxl_ZsKNGUgNiE?_K+FtVkuf^QsML`{#)+%6 zK(J_xLD{IWq;d||;Z#)QaJ67qhN8u}u#sW|TRNGwp=GtmO8^^sJKl4ZnuJ)_;&T#E z!?_kOcTPZFho0vG4_}ZlSs!>9X)q%mJd`^#*Wk1G8hn%>4c|(STC@>IC!r}>NH2`p zv8?!x?iPV38Lt-K1RJdh(km6e%|5y96pKn^b{IYOTBWIZqfD5Br3kWa)X7@HDdnmp z1&3BM{c>nplRJFF>HwC*Y2xrh;RkTw!6rk$K>3JRsR>BkP4=UKMG=eOu4Mt#_#*7z) z+)5?M=L?NG>Mw?zNNp)c9W?S)SpKLS2KgZk9MIXm3iehC1|z%EpsGd-IFb{Nu1#8s z0uy-^Ro`(+k7g*%lu(bbHZ|F%-sid`Ah{};v6G?!jyK2CuqBeZqtkeyHH>Zn2B`iu zd~JC?L}+FxVpxV-6F0O{1=$`Hg*oPeUF1F^J%~;{+CsPk*38OuaQPziAy|9C>9G!= z0o8t`Utw^g_3`jpv5Gd$z=BI27)9kyCSZEP(%`!Uf`o2N)JQDV;3kFFmUgG&HCY?u zL4Aj7+iH>(rEx(UlG5E9!J!1}MsS}CwlbM8S*9By=eZH&&diPQAyBlkX{|8vGWUP1 zk?$i9y*0xAM;>}xNC2xOOa-4;j)VmnNz9fso9TA;k5p#m?zXN*Ex>qioS{SNK;;)@Ah}&I5bx~MTv`rp&JoS*LK&fWE+U5W%T=Xiq zhi_=zvXNvwVGV#Z0yPg7QYo~>B&Hci6MW7j`qk%1HRVd#Xn7C<9#cS0ERyRFX@1aq zXQ&=Hw!mhF@TOOurN{9;1(JP09C-go<|r$-q`|KLbH2c?SZu(TCEkTkY=j*94Yqe6 zWDnvUNxyfh^CkI{g5w~Ho`mg*ln#NpxS2^Cp?EsrAej|lwNP^6O#Wnfrj5uq)j(8> z9i`e7EGm%kx!%1LUaR?e!Y81qiXEdFX;_jvfusflfqNvKLPBl@wGzv^D!32YN4e0h zlKUYFbyLHs8p*Z_p_ax=H=QXW;T_IrQjA!RwlpJ@ZGqi}G$xo_cm??e3W@7V%qE%< z|0cT-vnwhA~Foo>n8s71pIVFY>M1WL<2LGqVdIF7o_rugr)Stj~%D-Z5~pQ`!)jj zo7p6@ipW5=MDB747k*IAp45 zs91sGb!`sC27^{3QH%}oUkc~}FKm=BS|eXpwg>P=k`I{uK~^c$n-n&0;&xTm&s;@mM*A z1)W0|3+bkFxr5Obblm3xI^SDb=tK?HQbT9#UR*${RJc4;D9$JZph`V=Ad7;tQ+P95 zg(sq+*qX0R-W<5fU@A#Ba%l9b@yzXDJuT2vZH6 z;4!s81^#e)4A!UBVH%bU6}HJx|;|vrSzs6ZaHG~w3;Sr zACzXyJp+}zKp91xp^3Wzf^&7W#aoJ9E6JC`Gxx-8A{P5wgQ&^4>EPNfrzn|V*S7?D zJS$=1Oc%vw&qX13X=L#Umc>`mZ<*0g9J@RTiEo*>qVL$R7dV!YEBYp|xneIn=&Yeq z!f5P?qF#RtLhGCl587n;y(C&R5r0Y0H=L7NW9equ?~#tISIZHcGpFDVv8n{6Qk3+o0L zTN$Z)F_r~RMn(||LuICmYAhtfkA_KwDu|y8S5G#;m5VVWgt81gF}5s7Yp=j|Nm_ky z)JR=@zK5gQIOkygGhwZ^E&CV85iZeszuRZp&S1a4`mS~hkp|S~k!{63Lw=Wc1dNMI z1Y>2aES8ey4l9Y)3uLz9&v4ko6VBS%*;C2tj%KaH}co&Pq%ZytH zsj#pMaTSk8{1T@t0WSHGb944$N%o!Ys|6}$lzM#=JY-Ff-jaMNv$cIx^1$Bmp8R`?fJRL~Vsgy3sQE86Z?rxO@-y`|Y};UI@tjd*NJbhk$J8M}5rNmtwTNG8 z+jGd3=)0H!BUw5B1p#P@HVz-Ut~*#IH%fX@VD0}(m_8Fv+Tr0za<9gg`>(L&KC$pY zoPY$1M1V|u!*>E76vv&BZ}=wYpKlyyzOlAiybG~9Vr#2Ye>v1v19~E7!Ody zhjOsg4xdOQH`r5#>BkU_rhC z@eVQ!#REHjBbMZi_0hC@hli>`3=CC+py?~Ok>Xz|-A11m=pb>=VLs1X~dkW6f7r-u#6T^rG81B*th$kh{ai9?idmDrStllczuvjSr>ax&ipeRHzTzYPy> zE#~1dho+_kpS_ec7gy^vS0V2OG#M3$57k}&i1~$b;A!C{-gGNptWZc?m`0#9F%v_j zoeZ%KHpGCyj#_!t=z=+bwEej9MVcffmN9pnq(Cf{3(W%=*^0f?%1}Vk4N@5pdQ>8A z1sepoZ?cT@J#khNF&s8?wHJ1hxpa9)VB>jvyL&w{v6NjNmLhj(B%8ks)%eHXc?(#} z?aKqsMEO2g|EIvFjFj)2pnuB${_yY)mCI5L_OV?h*cVpCgttD<5kP=kLSYHnf)C_3iu29L7JL)fY@rv% z)}JHLXP8;cQ!us>a_o_5C`g8Yl`DW5OQDXCU<5uOxL#)6q0WgafkL6y5E#hp9HtXO zdYDn-!7S1-8>F9*g@!}`urfBI)Zv$4odsG=JV`z7@e_#wD0rn=T@zV^CSDui&U0bl zGI<{{4KW*xsUrQ1I25G^&?{g}tPWCmH;-x*C4~8rc1Ly|teUOo4UVT0FLNVz(BPSuIX#vw1Y_yYmf<4Xiq<(oX}_$Ci}pgS$*#9d}(8;$)V5>9uKv|%>G!Asx^ z>?$ICp^IyggbH?Wkqw3&mT^hOBruR|2NFuY3QkdMfOnDE*oaXyM2yMkFG5>36efg2<5y6*U_`>|hzFsY0i&;?>$X6#8i7CjKRY&qP z_&ocIX_;}?FyN*)Nv_Axd5B1BHr1Q$7Ld11i&I`gM^c?^H!vH#ZZmu}7>gS*Vsao- z8AWw-H0l$iw9-%*5+P77z92{3X!I8K)jcqAdwey z0)R2|UU*f&LD)uy4p=>F)3gdIBiTUcHp7Lkfr#&$t4^29*4G8&1YZ#48ik!xnxc_- z(cDLn>MHWDBL5Q#`NefKFRq3qyyXw2xQCouzTmm#2clak`D*vwd|9scL#0V#9Y{G5 z{Gu}udmv!>6H5e3b+y03x!UjXfb{iZPF(HXN?WCN|90~C?L~#E?b8(7cZ4bksH#t; z#?hhaR%^DodHwn-UclvEu5m+7@N%RsHgo0r`ce(gaHF=?!(N7ch1Wi6=>4d6?OdwzR{2@)zS`1WGcj03D6_OT&^ z{TgJzWe-Nth&(}u`VlO3f90e6c>{g%>-eimNtpiV{>pFhgWu-Qhxzm4{P_udR(^** zK8cS#XH|Yz{qcMFV}IrM`SVl!`3Lmi?8?m;d(U~5Kcs)1SNS7;^vC@9C-{6_Wj)P( zF{~$*PvhT}Kc$b)(8p)#<8$G6e@1`%JbnB*ef$M|JO{s>{`blk@b~@G1N$p~iN7Gm z`$ih_Ci?gyJ*oT^fBrRp{tbVAi9f&0pMT4rkKmJGRQU@3`>XWtzoU;^FwpBNU&CLq z+rP&j`z~8sc{aY>Us*?U4AaNg>CJzjj~qW4p)W`2;~VtDHI-*zho>w5NN@ZTecX;` zudCcjZ`?*7-^7=vD;x0F)0KawpPW_M$p82OdipH-Sj+z&!sqKMo9OS;U)>Kr^DlUN zf8}5Ci3;7{!XKzd(RuP*y-`H5tXgZ7{)XG|J9rY$I5~IYb8p=!S+x2}@nh9c;_D#r z#Tt0Ib9qUv@@*`D8Jz?;idG589RM_=lD2)gRAP!&JV2XBA=`l@EYlRo+V^tTp$Y}}5I zFVc5EN%?0~%%$>vs+3ASDk>kmlm1B`wY%`~Jo@hQJMnRp{&p)hb$kW=ZGrwqUDzw{ zq~B6gjmqn3JSs<1c`12xD44ubqE(T#rt+ioH2 zb-dWqywKCU$kV*Q*YV;`^TJN^qE7RIPV-_;^FmJZB2M!HPV?ladE(RUN&^^9l~ov6 z%!?UV_Y))-SpP4rl7V&e3-C7v)+-5i3@omX!@%OU9}KM562ur-=k37X7+Cic02x?c zAOJG3xUoG0i~E!?u(-kx1B>JH8CYxpV_>ndhJaP!dulf=vO^!gL?8bTef$}H{2_h( z2YviAeOyDwa0z|fN*^QiaW8%Br;mC1n5B=m(8n9;gSy36K1?6fkfZVleNgq9%4PIH zQSX&a^g%YJ$`Se?k+gCGAMMIb3KyTH{usg^;26W|j}i4pPW`b#{jo{?aSQ$cKf0Cv z0K38;mFME))B-cvJ(o3qc;V1OWedK-cz38jUWz~VSH{&p^8Amm1!ZLd|30+<-gPk! zxl+JKj59^$OkUIFf!iG=xEH3Z7Kc%D2KwPvqs>8$#oz$@?IfdH{B_j&qs?#q1Aie zRazFinI_;~s<+^8fZhL;u8U=Sy|6;#j4NH!hh*^hzMK%Nu5GBKG8R}UKOP( zu&?t-9g#5-?APwcb)Hg&XQut!lwiLq@?(#}DL2~Uxt#;J3iD^Y7cb`_RuG3TJ5Vc) z9-c<;3NT_g-z|{d)+0zaZAb~y%j%dHZI)Z3%IWW62{&g4=Z1cVi12w-ok%x)?pOF5 zb!8FOYH?d~N?!yQ62m6pyDY?!Ay`ILVl&5iFrCG0``57j3Sj}9&V2U8!>URhm z(%m%8gocuTNs1TCM~dO~F+{YAMQ)saDfGh7pMu7_5_G$Zc9mP2VQ>F`6E1~E9L$4rCtLHvDKicFqjp~lxqozzLbX{7~sBSev z5t_~^d@cJae5KzZB6R;U53%H?h)WO77xM^?E~pGxc_0@Z=uL**lvdxpbXL#GH%iro z`5MfeQF=YE-yv+6_i-OYSBj#)K8A=^p{|rZhKN?7w9!6>h*q(P$)#_0+qIqij$V;3 zt>zzZgW(YSwtlhZ?V%KL2M@7=EcZ%EqDMP$#5i}cq7-|DWm+4+m6UtNQ;#OtQ}Wq? z`qF-fh%op*buLS-JYBjCo(sG2o8IQ3=lts;B*sbA)cRv)QT9Y2lx+tik~D&_96O+M0}nkV_jRa(Vc=*TKB$8t=-)YF{EoP%OUfZ`o^Jr;g4_5wuU z?&TgIWJ_yPYMQPOGDO14I@GW%P)WR2V5|=iXt+1`C=~(ahO(-gD%|u`s~(5SAx=|M z$f`re8!X{mP*a6QaEfFU0#&3$?HLRXY-pkq7M$6rtgO1t&el=O#VRNfI{m4oEoz8T zPbwthu~>z<^b(PchbAQm%A$d}vNX4#MIIg&qnfx-GnhJ7+%U<0BY{b`q~B6K8-#U{ zBVmN>m?+Kd^j{Q52+#PHQHg3Rw!HvPaIgY}tE6GZR~ zkYoNty{s$Cg3g<$Cpp0E1dYUMLu+%n^>h!dr*Z5qsc_6@l z=(Rqs&vFZY%}IjuPw=pXlOj@EfJkg=qX%`GS#Qexjv0EHGy%dtW_*BGH^p|b{I z;jQUA`{{>lOM`!HEFJ>&3?rkwUuDX0Atyw@3kq*om;qlD+lg*|6?21+M^Uz{$ru;;AK zCHxc@Ac`5Z^62lIVwtH)4Vi*iK};}>h|s3B*-6~6=r9Ul@dVY*s5e@u=$G4$l42$VHwKq|rbKwlc)^TqB(;1*d_VuV2 zQx5&e%xajie5SXJ`ezdy?X>`c!z$uXRH*hR)|q!pA-drDbd2<3yq98H8`W$>g;B%% zXQbyyMtXJ%M(RQ*H6!g#DmLOjl^Gz38~L)~qX+P>t-B;OB)k{rOqaee!|j`%GadT4 zLYIp$T@<<6ofRHGSn6i`*p|Vm+1BXIxm!okC1RpJIHDe* zz#mL#%`NvmIM}FHOM{z(LFxoEI1&tMgD1XHdp~t_K#CTtAYK*_$C=cvE5oEFzM+`Z zrj*^HOwy@mY?U{>ZUP&I|oHSgPS zGzS|V5h`e$-vT>=jcmxgX?`r}v$NEL$1(FID}tH38<(G@!-!v;5=pY)rkc*e&KFq| zr}38eQ3XeF{CuZmHxOZSspqecg`u6C%M{9OM4=yGdmUj z(>>V9HbZU;yhHW=){^lI<(&|>!q*7QrX_W`P2dJNUaZg6$ZUomq1a)AjKFR5>S^H_ z=Ei-a9^3_|2CP7%dvXHw0u~=o-|q9VCA~9E0+(#8bPM! zefa`D%LnsC{4s~(vaG+VQiyDZHhVD}&}~Fe@t@4TSU>gF<9#w{P+zy)%2&$|z*^0> ztN~E0P9t_yD>kF$1KzvH=m`3O(TW@^(RctgJCJ7bjpL;jH0&y10w8g(wVO8OZVOrs zv=_lWO4chp*vIWsHa&MF*tB8OE#&UW6X5gkE5ZGwnue(Dq0}ZaUglI8Nzf|tZ>fwK zAdSkKtvV_@supw%csP*|=2e@IRt=!Dc!Fk53g~*CcxBJY@)R01YS3|AKy`#!6a zH(MpY4@(5|gc!>5kMfNG1Mq-592D8M+9*w-eF{qrjA+_Erw{{;ZOK!k~H8po=Tyg=S8wk8$|ZOU`wDciHiw;F|L1c@k= zlwu8HXtTj|sXEIGLDhBIQCQWoh%6ea0*eDN^(}$x3gW7Kv%+&PxCM?k(C-SKim=@@ zgRjhev>AQ^Q~)oDc6#jix{D~**??D&sna=}7zcn|yrnh+Lmr$edGc-m+Mtgz*Wt_! z2-Rklp{z2LRfa-bbd{m#dmh}rM}{KIgl&>-$V_NSK3(k-+EDm?SPM;syzGX;n3UJB zgstVUs#$wgs*f$@Exldse5r$6x3~`CU1(}8B(m6VB9f(cG#aXhuJ-z&_glMB3+{rjQo^hHpRO7E z%q=6X*t``O*tb_MwOw%ct8O=n&CjMp`AmupPiHAMKb3Og{?+aaB+8$Y0_A-RO^xzB zDBe#sD87geo$y{9Yd*d*So6klgEhaE^6)ZY4Nqrb&97S%r)M+gD-Iw;+K%~BTuXmN zbMUn!SFpm@QUvWUSess!Yf0`^T}w8!m;PE>BWd*96g28vs6(Ugkb#?>f7nGzFGq-R zU=MY8XhN|UruYJy6H_NowA&*ckF?0VvWeFxD$tGC5W#V3CUlb2@LC=h43th290A#g ztYoZrBStfCTJ}wsr>3j;A1W59!RYp7qBzl_kBlts8k%Vo%LN2fBI2k;b`}+@slwDK z>=TAKl0H>{9IY|tF;F3+R%Fr>Xy1Z{|4Wbzn|zlf5OVjsUJD**F(n)O95Q()Vvnuz zT^&XO=lEhRlo0Ce3FV&t5#?BSgO_DBy`JK@Jw>ua;I`+vfcDjg;_k)%p{*jdf8CDM z-u(Sp<7OC>6tg`+*A1~%Mmq$*nSnPAaUbF;iSmU?gj&Kt$n z`Uj_W=)WDjP~B%AP6Nko1q##G%6pg2^A3? zh(yj$mRj>6B^B%B zV1N{%+8jY@X(JM`fntN82=?<+_!3zxr^{%JMUn83ZrD{mSm zCU<8D?58w=J=)Gmz)3D$9!w@$^TFvQ;!rZuns0*sY3+l7$LVON9Ah>e2 zb41HYNa93w+bLs(zE<%lB*eq~iDqkISI((6%;V~w3uSbrUli(%23~Web;?;`KTqi- zs{qf;_A%hccn;o(Z-8oWtLl~>QmpjO2S;0kpr_Ps!kUlZpgk)s#FQEJqe95w3KJoNJs zF{ek3nmlauqOde9vnsAp8YYY)_OCuq!462(F`av1u~KM*_n;u7slA=dXC#QH7I2LD3L3B<~-SB~9+ zsM_J-!v%D;&Idbj-BNS}UCy}4P(YM!XELn;p-i$VoAl7Plz#zx-UK{E9KA;PNbkZ7 zSccUt>~m`(aCO87@R{^jpguw^$}ruTylx85fus%J6{e+T71u;JGXxlNRm-z@lEg#)&!|F^0Cv*eGYIhpx|J>LDWpl z=UyU7Hg6T{wY4pB2taU$M&4}Ca=u+i!G_I@1PJs}%z#59IsRTN;hMIo33T~>uvrO zV(?*&qrf~lAsCDqFwBIX&9@K$itxA4-Udj7oQKOn#D|TR=P*Fpfl`-@IfC=>4MWye z4dsb}yzrCfJ_+Z6|MV5;99lodri7j{ci5G9n6Ab=g@obwUI+G5V%c)8IX;-n;6INazm8*-8#xsL?~-jy&_ zCXVz;4@Z*w(j2MtrN{a~#~6qAs0F|!4CL8n5|VrXf4(@~j3n=yz$W=#c93A$@yTPh zp6E<<^2Hvu^edXS1LAPj|Dg5_4j+b~sQ0;XtNAj5g>) zm>&s9R3(L;4EadM#dmN_Yx%f~#Q--Om1HAt8Ez=LBQOAJT7_4EvS_Wyi~{g)5&nwW37V2Uf=Y*mY+==}8Kd$Vyznyyt=EQyTR6T?Y>B+j`^$0}oQF@}SB~ z+lX{z{x`mevdfb| z7}3&KEtKx2&1EUewOj60-D);1Ia;*#%kSI}U3DP%|-sXSdI8mBC2YW4~V^&i43QaRpBb zWa{6_q->da$GmsN&wxi-OsgQ~bj^EX=ffF#K=*&vr$Lc72(~4o9vAiwJ8mlvQanB$ z<~&5)BBM_S_k?9!JbrwXPC=n@*iYs;9Df4kjoOpws?3%D$mV0BdxuK7sT@o$$OtU1 ziz4B$B193br>+Sm9$$5o2wmvhvw?kC7#v8TCrC0TVzn%Gmc0+7#uEBm!F1{7a<>z_l z(?B1Xs8t1@DB3bd)zrDrJpx9mb@G$W0bgcePeni)T%+V5)nR0+IwkN8{X48Iw+B~# z9elpL5^+ASTCVfCCe8U|4_)jOhKISjCiV9wANamH?7S4HNL^Dv%tdezb+nT(*ut}o zLQI;t^HszWQJmsb4RlXT#RMUOr}3c5?;R4m*ZKTY2@rIg&#_+Q;--jwFOKJJ34?bN zFH&W+J;if8awo>!{Gw%oso1BSTCxd8Na!UL&bQAu383~Sf@(e#C8zl&c!M=T>QK1O z%Mpbe1!k$ZsV1Q{^?ZrYx*vpgE?H!%QR5i8&(M{FlHigN{Wrv}iNQC4O$@#4AR*+zM|ZaT z>P$7|Q7>YRM@_Ig(*>?{a#uG-&2@omzPyO;;S;Je=pM0KA=Pd1Z{jQ^;`Bl?N@sYr zqcc3sLplE{=JehcpqJ#SV^pq-8^RwOQSTe*vKB^~l>%#7_xU0<4XY%< zD1;b=BQuDwLC8g_1(*UCYfnn)(NYqUC}<4S3#BTnNV(+H59`Jl+qHVwOLy3^A@f=H z#7&u!xGS$gx?ikqP3OwZ3Q;!45GA~S56QMsm5XTPct6PtL+p}ExFlf-UHHpTWdTd; zoYQO-7dnV8D~_s#E%@sUYVqoY)ardO8pFq_1bNADU zIr5t2Nf}|{@nem5;CC5EKd8>!ce7wKhdT&VbPs)^3~QtCw9Ab&TE2MmlpOszjIEz zQC_I*r{WWHSj?$~3Z>HW7fpToCHjI-`eq`CXt!)#Ukg0InLp6~PPmXrik*uS-O)R3 zdTrlokJG>8+g7yc_JoZkopZ`Xr{#B?bgXdF%Ethp&iMtpsT#V8*Ys)Spdb*cxg_dD zYx2k$U%}PGX&NfgC&UnS-NubERMeUT5tI(7&)}*g2?SO@b5%;Q0{1yLj^*)C1Ba{V z1iElPe#37gOA*M~bZqJX3B#mO|xk3hqZK1{T#A7 zD0*`cRjt4;DWhU=m$#jO>izwkn9|*+;xwSSR zPE|GAEiNX=)--1`=;h z$+*E)q+LZ?a2`Q$k4mH!O2_{s9?e>UqyM$n zP5S3qJTzLuP;rWHT4%m2EXp^rjciNLqOO!IYEudprZQBM?OK7xK_ku<8iK<7V$$-h zki|w1(;JIx)&+=b_Xl1CB7HSk=$?T(iPB}&4V@A~;UZh#p)xpkfQ6VxB4xvGWWyB7@sArgYvu zHvxVX%O%`7kCzjAjM*clzY~YDHDS;`4u$=`%!rS84n^+3_*I{|7|g_i-Z^7dNIvMfMH-U|Zz3d<% z#?OcH4rjLR$*~(m2olHYlV5SFjgHl@L{LnB7_0>o7f0=r`6#?aRb&%N+SOqF;&3zN zE{4&mtV}q}998%%IJ2&6mJ9Bp><|i1n{78{(fOC!WOHgkl`B0{Q)vX4%>^d>4gP0X zlQ2o6gccIIZi%|U@v~|bMyA2TAteL{xIkuekbKqJ@fzC-N2-PUkx^RR1AV!M&e#t; zo$`mlU}4KS}x~EbfF?t zP*t~D2GikC7gdj%nnuOKJ2*TR@6Vy{272q6#_T$zw2s&iHc3;otnNjRX6jrVbQ=5& zJ>;o`FGZ1}=66l;(-I8Q0o(IsXh-LpkDi@#e8V#DT@c4dmzFpp9Bg@rV^JI&;pCGE z1R$ZL6?-gvN24NHEUmG(p9&cK-g3dd?@fxdU|@bIA$Tw@cIM~F~{QI%vv**yEv zWC}T!M0!jG9Jby7)u0_SC_}fkfn=bY-6B&S(I?Dg&GECIlb*z231f9!n;)k{hy?hLRF?nw6Q&9KsMo0!M(Rp3^-5C85>4BgXkcE=d5qd+kK#5{xYS6X` z3hc(Wp<02M_{d73Ow|a#p~!e>Dq#~0*h2E=3uD24rY)RTJ%up5dv$5%J>EmECu{K3e(ZyF`Q0^Fyn$w z1T^va*qTzCju`<ezJubl0Q371rr-jn5Yl#9Qj9H^#Rw)A$MiC z^W@4Pas~ij z1oJI}F-BsFw=*o8&HPlUx#hm_efo_qI8T4o{|!>SD}^De?%c5S4hzRi3SeSH zRaD-*8$1|}2Pva5I1&s-zqStHR5%V2Im`goy|YDN48NtI2D4GSK`DGxfQ^6$aMe*f zzj@z=qdA?ar~oG2sjFyAJ=|8&7`kzYbA)@30W?;(iHa?IC+@rzh@5=mry+51648Gb zmuz=sF;nCuPiI9Xy(Q(u{m0urMFz8-ng|eF*B2JMvxs;R@<!Df-t*GBBYg{V&TR?Y zARiqbzBAv-2ZxQY(8O`0NgO5aAmv@P=Y?0P7HiwfMrEkL;>Lse3#$XNmvAqV>_8TY zm;|B>50oTB_5+p=8d^P9Hfmhh+<%A*o}s4@I6tY=;Se1BNQ0VtH`&VfwFHcDkn%Dc z1QIdb#{xOOnJ`r*5rI^ zX<`Orrs6wlKE0ScB-B4A)W6A-AMc?fJBQ4z!$ZUV8T zB*vFX0P*pkrwjOH6hM3v^eupNP7M#MDDB{2qYeWcH99rgj4SYFDI10ir zJ}iDyhiI_v1zlcHN(TA|!WooB$7nMVPgLs&SAjAjVyMQS4;{$+3NtqF? z&Y4|G9QXh4%HaOPI}GmsM@kgTg!??5h5P?*O`N_Q#~VBt6Wq6UD-w@Nu-O%IYe#~$ zWF_05Zx-|S!)HLnv-YX_WPA5+Uwd>Q8bRX>et&Pi348ujt6m!k?#ylHQMMyn6Gp9C zIZtD5Z`18puAz)q?7>kBnI3)16C&4@FNT5b6-Wr*El;JZJhVK8hawETj20A@Wazq# zY=wv9Ue!HgV_-LNt$*(OG|7GMO2K`73w5}!?FfDKy+}r$KzImMs3Yq#*&K-N5zT+-rpk7OzLBO z=#o)3+-Iubr51Br^u#V69^R%?;TCaQZ%bIW;~`vQ1{G3iC;D1|WLLt_eSjo#S3mM5 z7bJ2Yes{HeCk9mJS4)sR>sy#}R!iWn{*Wh)+L&-C4j%qx=@e03WTL%eMt2E4F|f|) z5b_dvSST``UJP{^8jZeSf=4*M@?npls^W1n&7tnVOdaYQ>I0}WLeiN~DWHt_Zy1cA z@{x@xq+f4B;A8@(I7sL=<+AcQeJ=>aoJp826JmbVgP3w}#_n?yduA3nD{1kO14$0E zr19XdSX%HzR-g3XDaYc$Q(z_M5%h_d0yC0e-0l8O@F7QB+_&|DfOB`rBw>Otg_U=F z6CAT9NbRKVAca!p)(2ZT{~rBKh`&VfF-249gD&h?zDc}-i53(L!_leyp#xWkx*)j4 z*QLpdG|~;$|XqPX2N>k ze%~g5n-S}M6WCba%MKFEq&@<3?si*peiIj@3$IdyXXq}xroFVfYt`L}6tWfyR^a+X z7W0Jq7w%rJdx77f^OGuEjBKqiL;_Yxo%u<|!%`7V*jOA_%uty@>GF<9G`xwGB>kvd zp}@{R5C|i&vkz*Fc=Fdh)VSD*jy)Y_>>jENLS8};2|35W4JS%d>byB1hr)h>yOF#| z?Z=ULh-!(fUy;YHQHM@7qq7&O-3 z$-YH#MabmC$f6fCrAr>$o3Bl6pU#(S#~9y^!Ig&m#ZnW_ygaH*v8D&jPGwJ4O|2-% zbM-3i0DGZDb9l4?ac3Z+Y(^C*pmdTWLdpj zM^5UP?-Xs8V%1+q%FVD&sxb58$=GUEBVsoKqAoe7`ineZx9)|jr9iSsdj zF)K-)`{B=>U_FErytr$-gbAlpmf#T0YexfUEk?xMd5XTXtu6x8o=|Y2Oqys?6N>N_!O_5+2YE$>r6P@c9%?)_H3W&E{-C&VDBGPngOL?L$rsdr z0(S#f@1^)o{0^-<)U81`7zKjR+cAMi2`b^Op@fph?Jfm^4U5C>AHf_h@$da$*2BBv zr3*%a2+{O$5-uI1w!q`j@r|qFGnH5&ZA_QZ3YmlhIOk#BC_?x^|90SwmK$`@0T%^G zPJ+0CdIj}4!V!qQWIxi{KjNB|niv$zC`m~LDQRGBErt+;{IC#-wCHhDnjOh|?)HQu zaqjkO{J@a6UbmM7Cj4N+w7swzjS11M{~Zq|$UT}{|Fyb8@tHnC0T;PcNg>Xy(*nOo zPt^o#NhJFF;NtM!x5x`5yjpCgJa!o}t-Df2D}S7>JcGWFs+IdgQHt?%D7}EAQouw} zh>b`AnjpA(p;1O%AjtB@5KEjMs-8B)B3j18-m4fqU7gzm;N_L!cC=bPUJ4GiYc*0G z5L$VXTGlFlO>zFEJO-q+q!!Ymx&9%j9CV0T!TVvsrQ~EX_Nq7V^+W}9*hE}RLs@wE z9?&6zIvhqBcG%RZsaJCbvu!BE1e+t+aPdy)t^uc=>n6n7ii7#7M2OB|=NGs$Y4jt! z5i1AD!9>h@z_DtP%BiODqE82c{NVbt+mMR6d}6Ar}%GD`edLSF4d#xV;S z`?w_E4DPOU9Nz@aWnedLxnZ_E3r>zMY1L{ldjCBTm1|Q-y(-s6>s(O73foBWz5=HT z9yo;!_8p|wId=lVCJU8y)S-SDA6hQBmi`^Nl3xJ`>^}Pu6RP8EIeX0KD@_TK5IExs zIHuYNY)~zwI;dJC(R;X7N;xIh;o4D!OX%%`Eb1L8LBTj*p}l82Bx}5wK{|F*9Zbb>|mAkLDmiMPhtYM`V~HNe(7^a1n2ADD>!2B3Tk>< z3CbLoU@p?h6a3WUls3=K}Vp(#=wkq7PaA%n4ZRe2b_JnUwi zNe2tFm-@1prZA2d86Nzhqej9X=TNN~{lD$QwjyX(QF0X}sZ<{`f>UP-CF89AO<7od zi?vCX=U&?i#L1@?$9{?mr?fkP&gU6cKU0g)YNYxC??Z zLW+rH#=`rbF!>MBWsEJuK}7~eJBUAeC&t5lIT2E{8e0XemOPgPv~kw-(UoCMgBuKM z`jwO%A`@%k=`7at;gl2i&zf$Ktf`)YHTf2rnl<&1D)Hk^s)GsNbyFoGBF&aG;T=b( zPe=>uqi%I^3i;cWp^#1Y8VdQFl!%&%LU=lhLcVBCoIauAg;6?0h*vV9!k;k_OM-}J zMEi#FcFxMOgiF`hrR7O!h;ZOPtfS~={m9l!nNV&K9O!0)@1IK! zN-jB@f=kLnQAg%*$#+Ow{#XEU>`{=_5Nt(75*U!EYATuE*#uyD%8qr@^w%9Tj<(5q z8)obK&_}g&bZENOnr&`gzkYTeT{>&I&RMXXg?j^Mba3 z{(WflO%K7da_NEAjUgr+YUGskEy-qN&IG^WiM6>fr1|6k8(#!Uh5(x=z)QHYqOS#_ zj4c(Syo}EDvrc%;q4&5Xa*vqP4X+uSgTeZMj)e>!ER17_y2I6@LVVN^wNjfRc50;-#}sii57lOm8Zc}5l^HWpr{fcraJr8 zm1~_m=PK@&EF zLKFqx_!q}fUoNAOu#7G@+fZcz6L!v}B`uVa;xv8^!kLoeYM90qvpeUMi<`jO5+Xi2 z=L35n>?~9+#)di<^1o(qo(q+C(JC&$7Zhf(Pc{QHI1Y}kaju6vfTc}hxYD->AUdOByJkzO~1$^63M+9 zt>L--16FKBj=qHW=iADg1>D?gBk8`-2>zu|Kk!ZP)7Av(^C@3SZC0mBCv`u{n0y!! zKVkFEPz;K`H?oC}CTNtV+SPo6YGpy1^R?HqQYU{$tXiIdgUvTAx=e}GDc%~@ujxOPviMRT;^00tgM%?yI&_8Z(A07^)Az1|>MBY)OX5Thb zo~%=JH${BPUs$Fl3xU5W_AUYKAn>JfWQnczLvfz}o-j=&)Ex7mrreW3&5gYSPHaJr zDj}5#C4F1?hJaT_l=Mx|KT2*H9*zYBr@_bA>&eJ?^-Cc2ce5wjiRc%_hLxBoo`^HN zK4F4PX!v3e8p_=mG|VlIhOv!V<}o?s65^n5{Z|NJWyC?>1U3%#LPZJ5>pk+fzT$w6U>2sUxSDwBtR9}=CCmH#HoR#~ZfbZ=Hr{0|BwmK4(m#Yalo z#2=o*2J05zy@czVtf6uf`hV{><1WDB;>jAZ^lTo7|D&@ z0ZSBH^k5u}HworE5?Fg7$-Ho`RNIuhb#z1SR^$;=DQsl!z@axa-I^=WXFws($nK9w zLm7d$!it=q$Oqf2^>#5hj)wHG4ug`27NH=Z=XZd5fCT3}%CAr+&@3!x>M&Y7 zNvHhKw4Bm|^n4^>n#LV$aAui{jG~m<;?+Emz|n-k8RQBrd!j_|!m?T}aQDMft=^uR zCVjfm1{v3tv75;2?)KCay?YnB8H2qXi{r&HK!9!JAz>>`du(_WqUj*YTud5WUz)%u z9AD(PY9Deej~lWBID<&W~G5*+we&W2BD@Bh(Q~lW$8l*~_);*s^>} zb2vlhWQfjToy8FH)B)xe2--8>i7(-qu(6PIGmnqtbr?YICFHbpf|B)_3GSX!rMWl;wp$?*^FNiR*H6WY> z&);#9JK1jz(%Le6`>7z~_Y25MGVX=LsIm&*a{RvUnsyn@d&HbzG~K8V| z4mSiXgi?ZZ>1_3au zcO}(|t+-rhkkishV&4l!^k*~^du`=9y52I&6V@5Q{4>_pyTLqDSf|{px@B#ccax_2 zzwCzPWp`1E%g(n@hmXGl{+d|zpU!_7WsNJ~pbWLT*tiNBscXipur@fR+K-#cC8Xbk z5hToTm2d{pY;kWQvK~VwNz6E6lQ6ZY`e$qoSDai8OeUOq4RI?vjgeZ*syH4j6R|0% zlLS5TM7_*q6{z-38-?9w5$=M^0&_qEWEH%K0h+UjeJR;Bc012b2@Gf&fmAfUBQR0k z(T<{VzJjDwG0c~O;=Y$KY&T?2h@6X*i-&*Nz4PTBjB@cgUFIa?c|Y>dTg{0-^3dDp zJn)U-Klo;a&s{)SZd@K-H_A?ca%4{OLD{BAXM*oSK(iusIwPotq6AM(pPPdjE)gASjzjjgl>0(Zx zxWx{~eh@OMVR@>u5?D|@7HsG7GB;J5Sk3rg_X_Q`Mf$CB;laYi9sphP0{Ac8Zn

t= z3xQJDNh}75wtP&%#mll--RAKBM%YZ=hRj98N)D^Ajz+^Cy z6)+`y>)BwdY{M-GuGLk$u4FPL@N||b;aJLv`&VmoQmwr>g<9)dXljO*-aOfPeJ?rP zhGa9QbbE%;8Qqpi=FzseIDP!s%FxHzhYfxFx0Gm_i9UEbi#~qDnmF}!+1csO=>DPR zEcLPbq4M^6W422hyjW7VoyWaoqYBaFy|ha<^GO(VWkkzk=8Mkz=Pa;ylU_5K`Q%;| zBeu`Gn_$*IKU^>Q;Uy{fp>LrMKeYAQoejFZSPCX%*iC~Xibc9Wt$;Bj$7t<>A_ z#!#jnnjcg4S_}3TZzYgXl+bDPGtSPa}ihZ)#&1a3W&2G-DU+|a$*BF^0c|Kn< zZe<0cffT3?yb$@6G&j=s{06qnnBQCn1h@P;=OxRiSPqP-^M_cy&Oz6O1NK;IjtrO zXtWuQM4ZkeS^&oPR;h&0!k}70jw_v1p{-iGa-`q=Z3;6)&>_NrsaAM+MR;@Nu6Svj z7UWqu$r;!9!67N3+e-pPo|-UiAN(}Rk$aX0H{>3TIdF6TXDF?ua(D}bcJ=UBw-P~B zvF`<-p1rhyitMK80X4N!cq%sj|F`!gaB^J5-In&yvC_&qZAr#%YmHgSJG;_KmSll( zbXc~$(n?6OWgE<>XQp>&o@S

1j!8$6zj73(b*_$@Ssi55i>!a**Q#VsJha&OkyS z5Wlz;|mE#@z|9&Lcdo?{ z!{RT*(NB#L!y)89*D<3|suhE@C6VJObx2{0HYIXg2g@QI%vvHl4{h0UuxOkw$P%9{ zhdl|#&Tn5ZLgHzsPxvwv4?*M|Lk%sXdRlW8M3R#w6WQY?f+pEo!0B$Ja%a`dl9w03 zXNPFGP-N5XgUaVcMsrl6^@YAi6=ljDg&SVgqJy?%*p?U>rhbhl!>)o1i^n{VoQQl= z+lXMKLB7S4O-0VSCJ!lidc*wUDUffo$J74#U^eBWTH&%SQ4sf0FI6zurYMN(ASw#x z@&zq6iN@)H(Pe5wS5}N^XElt7?wWj-R*$$9avMg0{(Z2DYR9;$Akt*1qab=yVU)jA zXr~Ukxkw3V3V2O}DPZ)Yjn$X0JJDz&wS{1pYMDj^%}1eZ0zmC86xpHevJn=Lw? z3kSJ@LxH8>`WV(xztWp$KKlO+g%!-IAFGnIK`zZ@g&l|4e^AKSrVx+o;ERzCX0Olv z`j#yRyfS^TuZ`;^s9iLyZ$~J1$ZRF{4oZHg6QZ_~%a$1tlt!^EiCsP|~a5zs=zj*Fo~(^IjT0Nby;O zmFO66AajRLkfn*{AYy5R`WA~RFP*4oIG3(cp7i`3A98T ztcW(|Ua86$Ea)(F(Rf2zZ0x#+(Q5*+=&~Rt{j5&Ut%uk)1?MV(8>T#rpePO+hFHS` z3P0^`(Op|Z?1q>jrhc0@#NHatVD{7{nu0dyu<|?Z=&FM8Axp`~Z;b2mm zg3qZ0J(Mc4Qe|gqF%O><46;T!i(LV5HgV{_OsYZps*Q-p;Saj zJx1u;EK^zCNs-;zUCYJxGf-Lf+U=l0ll^3Ce|pg%ONbR7rJ6Lk4^# z#4kgROP?}D+_{xZcyht40)O9R)jUVN<$PkE%Nv*(D7O-}!C{A6#Y9fB8d5EA;&>E2 zrL0LbcVx+wj?V|2*zmw0vzZ?LPhZ)Sp>n^#*Npg5nEqjf0h2R*L;9WrNx1!E;P&H2 z7ED0yZ1QSL)btXSl_(lDl#-SM^vOxIP0JBV>4g%= zTus2hE9%hf;o$UF85LTfJzwjDOymW2!w%bVU!`{1vYY=AOMQq z&SD%G~`!Uhl2@gami_O^= zjkdHOTy>1Uy#?osmtCP|FxcdlY-qt5{u~r7;PA)PQMiD^hUTrPAik>wh)rgsB;_3b z5ZyFtHdM}GJEAaKm$oI@+LxZ)+QxWhpbG`yurrKqPizxJs%WK|lgK&t|{feqKY zY}h#5n{waZM!9cg!^8ZXSTwLGHPkUi5+EraPUXJ8^E%~IwcumZh0MUnSIT(Hf{=SB0hoX(Li z29$tKKS>aBcHGpkFypOZDEn#X^BM1CU;i4P3JL z$5||rDb)$q8E}zE0VG`?C8*)~f>&V<3xQA~Z!hTt3bSFSfR{ngCWl8jos>q&R=o0S zSy{A=I+u`n9rG{QyiwBKO$LC16CX36{wf|IHi$}pMI9?ph7>}oT+?7_-Pi)Fsw8Ro zq{6n_TL93O2)Qjrgs5NZiIDI9H{%Bd|0+sU253uc#NmIlLhLrhMqCHU#l{eejYDM` ztc$|Kw-zDQ^oq+VWd zDxOD$7`f5FsNj{Cg})S=QwfMkBxxc831$6vbq(0`VELmM2vUT|g21X2$*n+qumO)1 z6?~QigNz%}&_|DXzSknz6Y1R?yG&WV!EMht&|0dTROqZSRfAMP2EAD$U6nF(dQ;*0 z=e7W_Eva)jM(U{8@TAU9|9i8KLJk!}D!;TPgyP8Y9EJ963Zb|TqC#jcU(mt_6sION zEYTv`kn_Exjhl6_=79SFp^>yef+B-u3Tba+*3yWQKfY3lN*g zz9eSIhtN&q;36~R^%v73l+X-0?wcW1ih9y}V+)?114k@gq^xS3Ly1O%HyFZW!J8?i z*6&=OsA2U>-rj<7#0&e?FInsXH!YV09CJZ@M>NXrGP{7J?a;G%+c{r&YpQN>@xC$unTI$e6PR(D3`*j3%> zu~28nsE<9%>9VVZx;TQa#5sJy{dF;gKm3E`Qq7?wTvPxCse@_!Wf(E&;tbAmV<0&1tuS}8k3{pcJJel~s9N=KemqEy6tfo7+d z9Lq+vF6on>mIIy$5of**UyYJ#BgV;4>(-R;y|kXe8S5q3e5!`@ z#FE|GTWnQyxP)OwrfnNlu1x{+v5d%&FNHsk7F9eD;K7|N%NSfdg%rF6tn{ETd98UW z8!zI}bAVmHi3%+s;ndAlb@QUT`bgG zpos-KmnYD}a#9{(Xre~O zG*Kz5Vq@QU7Dhb%EaH|q2pYPq_z6vvbVy>7HpLUPZ&MuvQZUo zIi>YtJfQ|nT`a?#&*wOQh<60%83XrM-HE`QyuB$yN6MP1XhIw2UWv~^I zS5;tAiMgs9d5etJob=`ep6am~-86C%Evj}#CsZ}CbADqx8gSw2NJ%&-s@b+8YXW6E z&}^BN1GO#Q#U0TMoCkc(RHG2B8YUT-F1($f6Ga_cHp%mgX+(OO&7wJpIJSxSK(|eD zrp4n^r~!$DFYrszmK+#|G1F&}B8mcIVZX)ZQm#7hM_tL~)5{Wr(ycfM9GYfCPVcguk8|ASv8( zzk*+N_HUxb%}(s-G2C*m(pj6_64ya;ZuyN^ZfQbtC2$GT7RCFz@ld%!j${>C)iKe5 zg|OYg+YoBmexc$5#bnXS60Cwr3y))gi#3{zXTsb?FOmq1aM1spM=)6)%_E=+U)2>- z&m&)DV)*J;l+N1ZtGEu5^HrJ&MrI6}j-cpJGUZLNe6>kVWt)6%LJ>=L-+&jedUxGR z#2A)d;zd5p9@ELMFR!FT0RP3vgicO_Z!JwNP^&>CTg2WWw-~fyXce4dq_IN7_ zr*y!I*>nRXm{U>QO6ubz(W(Z#khEa~5-!LG!7{GQkz6ti3|6$9kwPw6S__;ti)YaS zdW8lL(^`myW#|}B=Vy_<*R(B`u~K6sXxy}kyx&9}A-}-rd|*@={U1^W5VKHaHNHko9U?Zzl0RRbz6 z1)@++E*+Z^Y11u4yeqtkk)(L%>?2!G=I(j&is5^7Mz`LQJQCkhCg)u0s0q0!ov^jNy+WIDpPkJxDo2 z+2x{1wIT882oQuv$$t)GMb3_xQX4Y#wwRB8fyp*7sf>`XbZUeYW-&q_R(rCHDJ< zS#|lcG;~9u?IoExJDXyy6fz0Hmw*cwrEbC6@KcPp`*sLHx3*NgO2I}X zmI|0uv)CPseO9i=)y)LJE@Ptvi3zPfUU`7yb6;3%rmjf-gcK82z!7F`a-Q>0hD1`D zN$irXogQ-2-?)O%s8Xmi6nhy1$gNT?Xm9fcyiKMYG%OiRZmIMhYfv?gg2_{*R- zVXqdg(0R1dK8Y$KdQcpUizF?=!lQ;@zxLBKq&N$;Emwi}pv5r`Jm1ug}W zRHkY<1IJOh4VGSd96=63v0~=>PGw|>E3{sZ_GQqU+BGwf+|kXBsw{wQ4AT>vW9Yn;!bx0Ax1?|! z0-_Xd;H;N~iiHh|N0tNpM{)4tX&e+PLFyGQ8^V@ee;MV~IB6+JkF0t|=*!vBPesdu zsGqr6U!7hHx%09>Iqi*iQJx|1-=6^Haq$=*ucjX!$En<UG<2+7CL;Bo_vxH!+d9meoWEfTlC^$LCFKA#kc8+f2PB3+`AyIrzdvO;XC+o zT5QGXwD>N)vOsL(i>K4wYw7R|z8=K!f*7Uq{MW`YK);8l$Hn(?M5yt<;142?ofR;M z<&ZY9TqDz14jI*dh&!Q8$WHg@jvZUoSylcdMUWhlFM>3fsTOo&U$J9O{2KrWSliAx zD+3sj5ZQ*4rV+}8+eTFw>4z|cubB;mF+I%=Mq8{yIDR}rUx=P#zv0!mVT%p?qPRl- zxk@%8D!3;|f`}s!T;eu5tT>LtZ_#h>qO%Xs**B=#9F-*$NJBn z%^+T2@TM8GX$EWB=2(1+$!FwWO_*im-$iGP{A2VDjQmwZ21Y)YkYwb4j(%h0zkmqB z$bSi)G4iuS21fq(>5P%TohZP_Ur(fAP^?5jBGH_W=CIg!mm<(Lc zfyux*6PXNbkpD2zhw>$fC+R>*Y{ct{G!OYi;$Z(9iFy=!C&|StY$g{gtVAxs6K|TR zcQ+0+lkcvJZ|_m$g}+ZCGVhDG;gyJ@6=z5h-$HvB^l1Es**E^qxi#Kh$Zdm6n=R;% z&As()vv2)_b8j88Znm(0V(zVPpMC3}n^Wszlm=0a4zH)f|DeO;bogUBe2EU9rNhtY z@Naa`NB~_%hnwiIlMXr^?xe#@>2NO{{(ugT(&5u|_!u4jg$_^BVGRkOK01uk;buBe zHBXVF0~PZS57L1$V2VfSKxQcMSvt_FPW+h8NHG>0aInQS{k(zZTKQ)Xe=w(Rk$;Bd zpJDlDtNb%6|LnjY%-Gk{AAAk|h#PRgUK~ca!|{eEb;~X?daZ zMG)GZ!S(%hJ7YVG5t~Vwh4i|3Hrf(5;ox-Vuo%%4@%hJBZKjm z6PZTNr`*?NYd&+VDraB`LW?ytLQxUeycDnwN<&Ywqcx4ZP`D!=-w00KNbvM-AKo@P z3~o{=cjODpCFxe#wpiX8Up>PJ>N`72o)zoRDIq-;Lqqe5A#N=xhE5#>hDKXp=nab` zhL!?Dw2^`++=Qd%5kvdu6+_%wQVhM3Rg)GNy0AoIXqj!>PA>}piw6S9LvaCz(0V7( zUpQ!M*&(X4j2xsCuc9m{?m&+-EqPQ0$5~<-S!`v=fb$_H7wDd!1B){fTQh)iMJth| zfM(1Yv=AgDm1clsWWSrE1+ELY9&SFX7j3!64i1%6hI7m8tD7th z>I%Vyxw#0(W|ZfNcO}aatMEi5h%PK*1)+pRi69_sr@LlmLj$JSc7&$U--AL2cAS+Q zft{_T5uvLi3t}Y?#Uys*eG`wz-k4!Xz60RSaY!zPcMr;tUaVi>?L)jrn&g7B6v0G! z6SrW8gis(J6gk3&cp=gH8+2f^+oSYjCP6&*+o(xy;?3Mdl1lN9;LTW6wZ`F9`%MH_ zgog1c0};mvn%JAmflJj9`!V#<5wtp24j}P~kqX?UsdGjOg?V%r3U}lWjx88lU^F29 zBaF4S5dXoXO?=5G|NFU#rpzxAQfN(B1%)u>ARa|Re79p{Sv#Po-0}$snPZ- z?>$71u10#S06cAqrDaK*=r}#roXVRrRqa0Pqt^~ultf=4$IgzCW9`7XyqThHZYkQt zpTb|PM#H0{yOA2(lcF*h9b1z&(Q#@lhW>)d9Sh*F#r^J%QDDh{>2(+y13iscKa~_^ z0oG3@ZKC5?Uw*6#=Ou!dEo`nv)QYylA(WZ_Uo!kaoqjw=Q%2}8=Rq^Rm=3MLRAh7fTU zH4^6yNiiD`=V5N*BI>Ohx526=t&<^SYaoPOQBeMYj-h=0fV6ytF`WVx06-YuaSH1b z?PL7$q)i0F;W0_HFLyU#`h=rl{phf^_t+tA%s}O6#EMQ7CTXXC)NJw%^xm1p#AO3| zrI0#~?rtF{k=8rbc6+@O5mHM2UU43s{jQ}nnL zi#u!?gF)ZxS0O}<%DNb^w5hW8ByFPOgm~IXY;elJOOQ8B&PTQ1EFnD=bXN-AYH96S_Kc{a{aqa+h~^Vy6xJdIl9T}tjpe04 z3oO@vloYK2+rKku6CJ0_bslB5@0pwDpn8&5pfCm7M#Zi* zQtPuxQ5{h0(@C4?IJGu=)Y`E}yA=Tz*pF4_#ls#>(0&|SS*c9LEr>7)+nD}u$7nU^ z(`rYGyq!Kku>6ry%kZQo0Z)U#`$`GaHCIx6xR8~?_DUU|G_h|bd!g*&bm1mZF z>Gl^*JBPqO&JI>phtP$Nkt*erYIiE*0+pir%{Z8)RF;5(H`W8HfnqODitd17FG<=& z$0@cRo^NEoE}Yl)?vZ9JKh`ol*}S7;)L9RsqJ$u&L$tx3Wq84!4U~8^DH;PxyftYP z9jC-qJ|*^H;x|o%z>%a1!tkwL|~%3tYpPZrG#5^MM73pr#0MoiRlw>|fV zX=kwvU^H^|Bj4z9mdeO7vs|32UvLM+@1jq+f9pJg(>Z%6Lf$#fNiM<@*t-IgnY6Pc zXdOM?Fho2Pz+HOZZ~uarOw6y)o=q4QY8-r-!$JH=UUv^KE}5v#duQx z`Q;}K)E$A3kg9diWO9PGQ6O81vXH#HW9VK#PzwOyX#}}DB>-V$$D#XF`{+KIw245F zJx5Y(zHOS9pF~oLFl|myyj#^SDRg;ZC+PwcOPDqs@889TMvf%V-abr5!MkcSqeO^uvzPVEF*Mb>MR1PDALAaoqnPDeeOFf1jI3 zpphlj4_31=vqI%iHLA)^iHsEfzAWD%<vo{%3ZK9_t1qmy>ll+`B@N80o(|DLMnTzdmUbQHms( z%maNu4!#6U1W?SN4~Jl|F#R9C z`F3f%JbL>rH*?a@6F2YI4i-2U*9p!}Ubwe0boF;ThWQ->u2ne&ZO)b!P1Bx)3&5-* zwm6%DIS(3lN@h;?U{k3SN2j;9Pp3zcHW3J(w@6aY_cFD=#Z2_6j*)5wX$DQEpdRc~ zjG2T!krai2?D=@oCZbeGFoOh>kQ}oKnh2nHX=`3cEGn0}o6yaO-)=#nQz~K~tKZo7 zPF*TPF@^yE(PRZQ*U?ffo!qtX1EI)>iM1}I-iQDzh1 z05(c70H=kD>Nu%)6@Y3}4Zk9369K2M=O*T#D!1Atz1*5A2RlfWJa^AI9$HW(W(e$0 ziqc>R{8G{;qEtyB!U8EM2V#OI0w`vXf=N}JzQYEJ^i(sZUd<^w_OH#QbQt^lh=;{a3|#_b)-OZR%G)Wv)tK zOGzpg*PWt@d{j~Bqm%|1AT^TE)WAxcf1{MMcX`v)Qa)%86$^c>XNPzswZ{b*svN@R) z=KL!l(~&8fF-InG8 z@&2}?O$1`<&60HUZR{On0%4QosVeFKx@ES=G(}M;rAm$Cm8gKTGDbexF=7o$VvS-S zAH%~tk;p1Sktu+O!w%#9SkfjsPPkzv9QI&hFv(4hM7;x3$g79| zOP6@ZkP#BTC*(F$$oH=uBj2zj-*)yV^VUmpujC|D9tkN=r3+Prh%vLx|4B-LfQa8s z+C;~R_%tRWwq}NAClZj9Q>3a+OP8PN(2~S?nxxr|RA_c02}ub?07QgDF)=V}0a}~u zmQ_ic=s1a%yY5Zxc1xdBrQowVMv{KtZ;4uj=ruxv7(e_CNf8(flbuPMh|(Z|IU%q} zNEIbP69E)2;qgB2E32gkg36)cz=2}N*r0D9RIF6tffzqPAu0I+4wy*VL=^W4$QN*c zTpT25B7mYpYwKl)D2zQW`S!ydTt zr0}2yx6Fa2DmG7aj121rCb)N2Y(l+<=n*58A5V(RfF6$}ZKC7!Xe?YTE%aaO7!mq7 zdbDVBRgDnlV|*iDNs6`r^Z$^viOyp_RLL?t6D=-wN=Jf~{KBV7I9;`v7Amd|JJJaHR+WUQ0q^>I#;XD8*2U|>I! zn@C`NOlk$=R67l2DPR*r{u|_ui0tz@-6^~}R}av-t|28-s7^qz(&&mah27IW^6yUC zL@=sON&3yVDQpJM$;&!MmX@BAt~krqi<2TT7z8g&+Qh8skl0qg`kvD6up z-Z+l$12}DJ$cvLU5paADH!<&4vQ(pAf%k9|e+{t7IDO7@5c|5y=B7 zo!@XOou$=$igv;iRH({RXrN(?wQVFR0fIp?l(dPC({RacCytJ56sE4Yjqd0eeU=Ug z3rRw_lBP0W#0DUoNQ$@s_s5bp5ygFiUn$?M2#1SkMj4-=}!QF4hY4%l^Ds$Qr)$HByN5;~hi!5DJf343wAk zE>&`2!djeQ@_n)4jX9)H#3m{FX!~^eP|_xX0r6*&w9QoLq@t+**i=q0Q`RWnxTMTT z-|HBOR-hVhi^1_4BytBa>|6BkiPBO^%(Q9%^J6mR=E z+%e2jMiRI0RIC*!R^lFNAIS%kHWBdmeo3c!m$>^35Ox68 zJ4T(&Fmy0LNQ*=OQO(q1v1B!R6T&lPcbpCNSCS$m z3^Pk z{#Op@(T+p%GbTXd>q$`UhuTFX`1YIrCh3giCPIZ}}_77QDPJ zzJQnnWTRQ|U|sx7o-V}crX2s;h0}xbv>T^Fp7!AM)$+6#r++9<7vc2N?&;Wqhw9=- z-o-*(Y(y$;bhBuz3l}$e7u^rlZD%8uET;n5)`+ZVl%_%yX|6uu0=f`@jv@$l4BH>k z%^mWT0KHe95}>blPr38=;bIVv!|Ok`05RWR4qY$AbvI(6y!&0a9t>S~)i-aX~d`>A(9;9QAC_8{Jc^NYWAU+9{?bs}_4-}-B~=EsQ^k9ilMh4`ZXBo+yH z@;^h@)Y3B{An_)B`19OT2Im3qg1~u;cR|g6MqUtpek@N3KUZM5qaDW2ih%r_rqabp zH*j(YJF&??gg1nH%H6%%yP)p=R9+CazA8@%TfInvgI5XCXSk>Q>X>&yuihsw2)Kvc zQ-0`iTnyrEO4CGW_)6%S(6ACwP<)#j8O4QsSYrQ<&^0~$p!YDL<6ZKCaPS3rN;q)G zEGp54#;mxjn=}3AUwMDsxm4~3<_bnN9l5{iMC%9ZR(=|Hy9&8&-Ve5TF26@N2HiW% zR?dci{ZePGl{V^E?zS}f%5fy{f1$^^WR4u49ACvY$< z=Ta_Qkgl2Os*$k^#T@YsKl>W|rD9O8<(GmhdONtHX8bGLSxyBF&>Dkb)n8M0R(kad z!oRvLJ4xXF-<#^i@%^HEm6mGA0acs{n-4dqQ5luI?5Nr}_rt&N8cz zfsJ}{Zw5(2QD4Ek-e(lebGYt-6A$}1$DO{Mku73>k*vdze|VhhB#b*N3f6HWd~e!W zl138xVh%MQ>i5*0d{4_2er=zokzv*c8Xa(QZ zPiebp-y3h~vIqsb8E^8^!p zoOll?Oz_d1iC2gv@Q3D1{Gmh!_(OB%Jv0Cp3Z5v%htM!a)FPN>Z7Pi6wcTCPQ5J)m zbDvnA*R8bi0-0+{zDpfVb3fDE%{2Ei&7Dl!jBs(|0tu9CMSP9BleFlnT1*AE2lq#- z#+>c+!LvJQaybs_%>$#isAmk6Yy@P^V(fR4C=fqJyC~DK+^V1~!TI5$nbjdPoR#U5 zRlRHh?FdG~mb&v(b*7iN0-!sK}Vb53(+a*Quc&mdnSB_`L*2@S(+(!jAi zX#);votHr_w1v$g6l&*;!syn~QBE(82K@K=UGLRle1rI+=JolvICGv(iP5+lkRXRX z%`&nTpD-tC=P234S&Pjf^y1%N?Y;N~oH@Jq`+`^V5)2cxu%5`AXBr9*dHX3elDU#6 z8HgvY@!EPEXU@JRZTSwQ*hZ~rt7o@)ty(y9uA{uJM`T7&PLfHVNFonNi+mco zb;hC(Jhu<8bC#4E&YT-%q7AMO7+VXCbH>7$3Xi(BH(NC=i)zQSJ0F~n2H$bOYw%H= z@mJ0&QGs?Mn>R49;flcqMU)02iV|fQcX!^7R!KmJ+i~Vx-2`_WT7W@e@Jl~A?Y;Cv zoH<)V<}Hx;_RyS*E-m=TEG;vo4cE@sw3?xps12K9hfyfUAJ{ya-60LdVFAX1SjYnc zS2U*FfrTp?C+=Xul{zf&gE|iIgUY1%L1jMtpmGp?P>GKpRC3}6l^pm%#Uy@Eu|ygJ z1h&&d6>&+F*-kg{G0yP&0*k5**@kx|-h?4c;%-rSpqcu0b@5~uy)14avOW{Y;+sh5YT)KAdq4lFeaEkU>vO5~r_XAn)3gOu zp1sYG3p;SVp{AGUv}n{2gQK6J3T?$Ht7hk>aQE_@Sp%`@0ZX5vWG_>uT{3j4v9waB z$Q`;x^}{HD1V63_UdS0G6BDETVEx5)%UMyG;?E=$(0+30WBATu!JMq>mHd?Z!LHIl zbD^`$eFLGW7&p#_qg8Zg zb{}ThO+g+kyD>q~tmt%4VPe4_Aa%6v^kR@>{abgIj*f2KIlOh(&fWNRIZaOZa0q~j z!g)-7diBo2**efwEnwL^1@+59Q$1O0c>iH2+jbQ*q?WJMD%PHn5xsi8aCX?NPLAjq zYb4aJ4ctN7#nOIB}2ZZmNC_o=cWA{C@AgGf)x9P-? zy0ff=l3zt5xU(FHL;s;?m#UXtr;Gw#Tu!3|6RZCw)VBu!u}kQe;uQTXybI5Y2l+x= zkbhnwZ*`s2r*Q98d=>k0&+&qlZ~Fd{eP*eoTY8zEXw}Mo6QDMOqW8EyF<}&2H_^LK zuU4T{H~Et8yUj|zbqh;Qz%60b3Xlv<8dzOiVNbqWb{NO)Vi?nI5Wr0`nOe&Md4onAm^IXNo1Z(ACFmXnohk4*WZx)b~bV@G_PohY>of$5e zWXxo}V1!n=R&4~!%5JiC)t&ymS-7DsBezGR*&c<#!}u5!n_hqq>v89WYv{tA7p|pq z6%aAV_qkz6eK8gL@jiO7=53I<@#857+Y6|#M<_Q+eS32WC@0qA2eBU@fN-r8q4^+V z;jmG|vO`1swSGpU>b%9Nn>0knk*Y=hWm>gigFD>sv|c)h{8-5B2d$e*7m${Z)mT}> z@S)6EI*PdPs%l0(0<7T8%+MotY~4K!67HC9JtAl~${Ys?=N@z1%EV_SN8HB5a8(>} zn69Eq!#MpIQ5ufXZ=TXHGy4oS@{iMXcWBaex{li<86#r#BnyZZvu@x1Jhl#|#%w9D zVrBfoQ!~vGcNJ2Ho6p_dCoO#@=??jC&~?}_TFcbM zciH9CI9h2YRJ#dVp*Es2^?A$;u9oMI%mZ>{HeZCy$GC)Kozggq=3S}I<_xV+*2uik2K}yA=*J7( zVHlZfBQ)`iY~4MwZN~^#%Py2twBns31wTNj@hJEqrjQhdAEEOI1^=Ay&p!ow_R_k& z1pz-z9XAm0pd?_!0)IZpcX`YhJiz9I@RGPut2v;M%hhENPdMT$I3sL@7$I-X2)RHS z2jT3;-!}*^9`&AN>PYH+o6aND`wriqf9lOV{(eL~H<0fZCSP=Rz5~Cq<|;PeEmnoZ zv+0aPulRL3qk${lOJ~FZ;!AYKjX`JXXY(eO`01=^!%`uR;t^*<)I?)U=rA36rUa=C zOG623lAyo}RQ9H4(i2dBOju&XO)z=EABaX@S4U6FONDaU>&=4q5bh%^_N zdJZw_M$V5u7-#>FglAO*o)cKr^_=#Q^H! zk&V7OKLG&Y9hk%)XsH$aAtit2I_GXt>9?UJ!eFQy+8|7}qpM==gSkQ#zAzYmpz5y( zo6cZd#^*?X!JGD6atYbn#51Zu-^%b~cfiO^X2ZeT_P?-)KqjN2F1`W_Bm2$7Cl`3vZ5RAy+tyhnELbHEgBPG z5c%df%ryQjaSdVeVR-0j=e-9Gn|jWBAmjAX!lZ20#}<%Zx0p63CWvUT!7eq*IfPz# zcl+rw{KO)lxXY}NNl13R@KD)rS9khk?6ItMgGct_yCl2}lvoPL!~y&$ZlS{=98mK8 zHu}>i#^lvu`m>q>io&-qiQaB~7j`N#EvDg8H(}TZxORrvi58XOpFvbPG=E5EJTxzP zCeC5R)9Df~2eTlU7qt=T|q!*eb=cHk5U z+7vmi z6!)P&L;+yY32okeKoG5+zOOVD+>z{H)?dhsA(KHvVL+3jP$z6J}k!0&l+@ z3@u)Q6E=p(244&V>5#@YP|de>4#9nf0j){1<&Y*VlNwndhcw^Fi07p-aY!S3q2}2I zhfvy{O@DX*CO+IHE1pKyI-IjX4k|ty-i9>T*6O&Z&jhN-&;Jsb>*X`DKX%f>mZ6S8OO z;*|u+ui_AgtRdf#;5%`fI)S;P*HLQ`jQ5aZq50k0k00Knd4zSkZ#`~Icr1X}9C9Rx zGKm)kl+Fro!(O?_gx1^46e@yK(fuq zA6ep;gF6xxgArWBjGH)?`^8{znSY*#!G}SgC`E!{5PR1j1`*brBlAmkYh--!I{*oi zAkzA*8UOF_dPf;wyc<2(8P*~)!l$bK7!Gw(+Ic%$;y)oSWcL{1$IypVGYzze55`-2ZQwt_h zU)sfsHD|;#pwH4W09oovoskBq<189tb9z%KSEy!pdQOU{v0wHi6fNb+Am1pUo}$#~ zw^~u-$Doxv6~s;}ox^_|Tr=Ze^x$)pf$}+jps)(~<+y>ucV;N_Fn`4abV7j zf3Yt*G~VeC4RW}Njd4SR@62*&EP)4? zJy##Ml5k=Y z!A0+ZL&^hdf(PWbykYAsw{x@d*nzFP^t6<+HsW+%T3&=KX)tNf62CQjN$_$K_MOK8(snzs?)s!w`e;rN6_AJ=Q( z%cSUV>`TOUrZh+7kxS9JOua$96Jhz@TJ>HD+jGeDkGD3eceuH9=>FyEeI!#4bs2eC zLWB(~?%r@`o%%9%`jG>SA!@wk1G|_ui+dsdyoCyb!&!{&;~XJJ9t`}Df6TdRKm2G= zQM?TAa9e!!f!{0^wY@p)IJCg*-FaZI?p%rdLnvR1AP+YeeCnKm%ql6}ea@Ect=a1( zWqKa>-ALLMDqHA1$TydMmuCtSfJnQxx9(;d<82-yU|nli)pFuzDePbaBc#j5=PE4 zD1UIDSdP&ADs}`Gu#dujtbYJb_0X^Gvm44M{ij%|Na+AVs;?PSpJWJiiP*MEWQH6kv8o=;8UdAElRUJuvHCVBhX zK@PTXo7~_xc|AA6o3~{+MnfYz5n_dfGeF{9W>wy`K|>*EWM_(&)&PRVJ3Zk-a;*o+ zE;NG73G633%x)sAI8eQsKis3#wLVn4kh1Y!gY#%hr;;o-?LO@`p7I*sy+_*zG;rNt zinW!2())|1oud@hoOIahBjxw8JC$)?O3|VO2eXvQ(n}cN-b-#*>mdaYZcsR{?WH1+ z2tRWZTzbu}AAl&}CsI1FkTbkwlRhf0@|)NPs+cA=T+)uhiQmV@Dc$CoxnXo|pfPd49}~2V@Cbw$nNZx0HV&wR0gt3g-Xrd3 zuVz0ajRK$%B8zsTy05Pp@Kgc9mUqv6FQ&SK{JOa63+_A1c+A3`Y9TJd?PU1?4^Rwl z{?UE1pLSSM%n8zgm*L5lO|KY0WIj;u|Li{9!?<=I>K$N|dh8iaT_amjYVY`{ws}iv z1CpE7W0y@etC!vej%HuxT7oc#GSnUw5R~q1*!3_Qsfy-4*`z|4_wDf&yxe!gDYHDh zljv}(O?gj2m&g1Bjnadp8Ffg1YoN}|gPz$phv-)tD1YwiuJM%4>JFXttfc5;lt>=BkWzAW$^<3ehB%QANlz z{WvT`Tl$aWkU9ZB17v#Ck3Cs|@mYc@fs8+CY$KkkPa`wHM9Di}2~8C-erc$fDvz? z4p&J17#Tj?V8Ll;1)V`uBDDq53Zn=xBGy)Vzgb0lGCg6Jv*>II1%juMXhg?8B5G_k zE&fO`Orwwo?{vjx#tY7+=gex(N<*}!q1V`08;*SxSrhCGcHY(8k}cv8HPDYA)7Vr> z6DpM-7USG3A*3)dg?{h7cS@oM&92H(x`;F|W}ZvC8@VqyE5pB9u*DhCM|0Q}3t@Y~ zSuG#Unb>edSy9l90c`i%6)aT@tQl%~0m@u(R=B5W-lYl}M7#lgKzBOeU6b-pDff(zG+bo*utJ)fLoy+BoJV#R{29AaycBIKWdNK6~mD%KX$;#K^_@{)n*t2ESE1mJ>N&T@!k#FVEi;AzCMiEAk4 zY*iHz+-D6*JE^MR(beH!r4~#rAUO{x47C9@#?z?hajq_Y1AVE#=MlJ$#98$FYIhvU zb~yx;npwsl3rJ|iSkHeG0;y1M-GXQ$Ep1;*u>3#;S zr_)8C0c)+dP;dAY{ys*7cjpnhv&Ow6SLt5D6Y+Msx7NJ}afk4Pw14w=>E=53Cdoa@ zbmsD2UA&X-E-zH3&J~cuux6!^>P7q!|L6idVHPQX-?=q0GkClpDUE==rBYQ*XR$KA zfb?q~w?mpulOYOPc z@6(cuYzW$-Dt6h@Ouz2iw{PFR_uSj}`5OmkKL5{UH~ghB#ul;%?|rC}9h_HuVBak9 z5A)b9g=Blfjbqo1)hB1{d7PD$T%0o#wrgk7W{MA6ZqAN7JY^4AeBJhqm+(xE@7{UI z`5Sqr-?h@b-%O>rlg#8?Zl`(N%)0rUogUzB(&Fj7nT}hDCLYhEUF(3GH&adAOec6e zXPK_O-{P6Po6Q$o2gLaH?H4#v-s7MLH&d>aORGL37RZ8hChgb>E5}V9xge9UQq6s) zVt2%y<&Bq?`;NN@qqu%i)cUAl_^`&1Un~d}6?AY>e`YleWY0 z*Gw0Jap2l?dCJ;v<;(#Kt2WaEd3@r-G@(O_8g{JIemrtBAnaIJ`b!3d_0Cy96HhT~!{9M_IZNwP9on(s?i?0Ly3DbWu{z{PeFw)=Xu%|90Bj3&$R|QzjjCD=Q5l*?MI}Qi1h>aY$H>J&@+G-$@g; zK4ClYJWOVy%U9A#vu(9Lw&{vH->G0{M8wNyvvU|$H~3ITA=}uv!Roiu7T*{+4Zc2S z!`IkmV`CTJ2Cd|pllVoxO(@Aa()*W47bd_<9k1GGx zpUR_oG_Xg>(@FNlXKp&3EsD^w-L~+98S$kvRhMupBN2I=7lg-oQ6xOhhjvfHqQc4j zsgmNIV@5-{#>ClJ<`a#xw3d0|)}^f4wi_FF<*cj;pSBAgGV3}d`1Lun-{n?+Kin1J z0@!+bM4oOSPez|q42nq@!*}@bH=e)Z=74FZ9ar{>d;3{@?525ay_9zQ>%vg3>vg$aIxRd$HTy276Td%ZG?!~koTucfwJ5n3?rLn@olk3uE#-QNqeLg6 zfd?!gQzuTC!b2)izTSscJ_5n%2Izs)T>(cq4u41>M908XaD#S;9P^^UGkc&)|RZO;Fwm z3>jP{ux>IxY^IyzfU&uP9mny}pt~0@A;M_lsmy=`*Zp8oc^hd3Wpt&yXBOTJp_z(J z5YLdUB`Mi)XcNgsMQIivvE3v;4#qDKqn3BT)rqGFET2aB1rG@gmH$-uLqbnk2lUkh zvak+7Wy$4}G_ole=|C26s2+>}L&?kt42qNh(UIW+WIvM0r)a3J`f}E67NLgF0E-X8|GqRQgE(eLB@Megggc zsOlNo^v5E_Wv{lBF9~h>3(Le+Pa7-5OW!bN74{TPFDa1;jO=K_Oe31-_HdSRJnN8i zkzs3@eC&>9>6myAwei*3NImoGelq%kM z#5ha5ai_81a*aV=k0~0u_zrVeCS?flD$@(Hd76a$mS>csa%vLbqy;HD;=C^yXU)KJY*^y~Z`C%LWlsSV6z$KDbCoXB-;9Y8k_!#CBzOw5YXbh5 zlm_ePF_L$zr69dDNk${=g#c=&n)$|1%Qj>vcZc5orlc~NA(bDqT|NRKk6dyoc`8C%Z|7 zjQ~`NW|02Ea*5~3bHq~xic^W~K+c4k$;2C`1i;TBmhvfIqQCWv>R*7q%3w9{FB2k@=la&k6as!@Q>Pc5jA9eu zF<+eboDnUTZR#rKY1zJc&ay*g)&VQt8wXr-$F^N6uKu>MSnsIA^%;9^D=jIx{a&ET zUp{8c+^L~T58eiO>~Ub&wH#M9I9;5uJE7ctO+ez=yxU6`wsN?*@^NF$GGI``Y#$tz zN<>@G=KhF?b^@=*qY`vco;O6pKq|qKcs&yNE)X@Xi~yrT(`n#qpsNh0)rTX)HTx58 zAt|8O0aqeSg%|B>vNGVI}P0yK(JcHWJrhXnzGnGBVyoUZzZ>)=@W+6?;y@y>?j@LP3*2Hf{`nsmp}%6JyVU zGTmr(^THIxNt{9~s+M^X=j6sel%NY-61 zrL?q4b0o4&NvTq{Z=O>%UP^nEl(deJ(zCxex>uhWS|w%bM*WL|<2(uY+A@i+-Cvh{ zZPNLYZHlk;Rg`Ah!S|er{fP7+nQP(tAReuwS{9_)Q!qr7Xe#!ef3|r4Ib(_86z6PT zDA=>cyxkP$BG;P8qvk|re93g;x;!CsP`i>Sj)CR9z>MRky~|AC7Y!Lfh%7Uj>MMq1 za+m{IAV+-hs8P9vu3mDA2o>(+5sl#r(#pxe4cEKTh;Iu&L0os71lMYx>H#>CRk##h zvK2ca9{Z-TNIdYYan4L{udJ%#n=dXEYu+_JEfya!=9Kk~>pZV`Rd=~~?Mb6t^dB*1 zmutJ(>+SNdz6BVgwPTlGeh=`b<=aMVPW5;dyj-cE*4tCTw%O9xdBHz?rmujL+5`2w zXOjB${amWwox1wTHl=<-soxoUj^GAqZ(Wh^m^a_kyG_U@AfME{&C@_}%kxHiv3EoD z45@3ycQ-9wT-Q{_BeHNT?A@=@U45g)MVq@8BP{`lG)|RqgW#I7Q}IiiYc-9<1_GKO zlExi`h1x9C+!0X7J_FBAXFz7r=(+{U>8UbZ_0Ux}4WL8;3g^K{>xK=!w&fso|Qb)K&OXL1T zokW?nLhjPPprmpLTtgDtka;+Hv39_w5;WwUs#~M0kY2P?DaxZHE!^KAk(SP+n@wCm zrRZV`{K>?AtUVgzeX8d+ln~;YO4b2l{$Y%D+)R9k?x^LBlf<6#@lLF<4@Gsc)lIy$ zrL`?ux6ePFr#993ByH;MKW$S(<7M;DNvyovc}!*Q&VZvS!oZcfS|@o zYlDAO51r(?3f43&>?GH<=HwR^s_UF;>1(l@n!0-XU0yxG*OrazJW*XWjX0xPAwB79 zwRUJqsIIl+)pf5@SFN{F*K-Sdb^?D@QRNS6ol$ueMzEQ_L0L155IKRHJeYB4faR1) z{qCih8tHKrc3$g;lROe=Wu!|Iiv|tQKJQN?sF#Zryk0>|6A!z2D(F-4zG`$rmGb+9 zEt1T2@+aV%sIkgZ6{xja%~jYc+t9OdCO=h$hCQayMqWE$%C?ND&s~` z-9A#^5Mcdjl3c;^7c;f!rb}{dqbDc2$&y=sLdgYoaHBY{o6XnqVK*&2o$_JpJmr@8 zFxjTe;M!`6P8N&%-!{tYZ(QLHXII$S(ILDWV5NFvtJ+)JTVg9>9UbkfVyio2tSzGtkS>9M+3veY8%cZ{vJ+1A+?Pjtpt zx5N^ieQm8ReX-T6`(i8mt(KO~{#akwJuo(S`;3y3>&6D}z^}pUFujvcHV=Ld-yoT+WM>=kqKpH<^reIQcu5KM`q62! z*KokJ43ou;&lwSM>$^s!(JsF8uF+80&U+46&Kj-0@L(`Rvr^s~KR>}r&7MHNc;x9y z@#>StXH-O>Z5X5jYqYUkYr-Ce2C8nnfx1!|D6O|DL>8r&8q3)as%4eJmwTWiN*}yJ z-d(#gxT19l;L;(d3rf#|;hV~s!F)+b351D~1zhXOS|@Z=kNYe_l-?jK;fES0M|kyz zp&V+~&((5@;c|XbO;xhxTFX<_;=4H196p>>$d?g_BSw$!0{XZ4&VuT-DgP4mu=L3EOe0sTL+<5mcDTGTSZceqJVtyaiDSk5auRnK^{w*#k+Gb;%lM zrFr5nI*moFvW6+KgbHU`C_CSpH8ODg{+IpQrM3KZR-%vP1)BTXaK2uIjE z>Negyp!#K1R=hzN{ekQq6HHq({iE zN)nZbQl5fMMcNlv<&>R5(K%9dmwhD^T}l^S>_aj-PGl)hWEyc>iA-y$sKJ?CS=g#6 z*>OvS{~9>=Vwn92#h|$9LMj5;jto@~Q#m^o7EzY4DST~_l81OF!H!cc2zN56Jn5od z=T&_3*nCvWUY4|x$3y{9g360XiOD<3m*kK{Ntt-hP8GNM78?0U5X9RtD6K--i;Imk z^U~&yD+?aU~!ve;TGRGcJ`n9F4Rx83*osHH3X?D?h4Oscxo(h zUIlxQJy0XgT*#ISKA+7h|5`G@Uia6~D`JPY&u2x0Ju2yx|DFC=ELp&|mSTh$TEM=> zektj6lz;D*fW%QnBDs)VV6gvDB)&iH@qLk%hwCa?qru*nR!d|SvpkzoOYW@v;jrub zHKKM2dmFu!_t75xQP~QulEEbLc05F#iKRs4)juVwMUMktF`!aU#n%;u&*k*pRZ#}+1C}_e+=n>2iyqWe+<_U+#k-5-W@pQ;t2k==`4imvwPaYa{a@##LZ zoZZG=Q*>`?Vh!vqMfcH=?rXK;)h2cjy%b&T(Qg!8t;MH1I|_ZMsFV8ePf^faTqpJH zMuJ&jy20|aS7SO%WFxqrIJz8_Pw}rKqvYt8_%RCm6K3XH5UCGwY z(#}Vf`0iQkEU}`EUCXYjlgDtuZ*fzBNG~}X*Ec_YI5cksutg{qN!fazp<=gz1 zwPO(n)Ijm~?Kr>x{$em9UnibwXCn)~P$xsiJpBS7l#$hvt-pBjbaCk_5X6YXUtYx? zVC<>7!|OZQvC>LJ);>NsZ6$qC_5{)CY4vn3+0IzKIM5C8mDZP(`2Ux{A=cXB52KI4 zptIzl`QjJdjMK=sx>?(421be-y4gH7w_a>mgLT|jCo*f;_3Vl|@%kFpvf~8+jKRH- z#^5*U(>3(z8TxcLeYyzC8T=`I%F(BH=+hnaX<;ekcW5TneV|$$w@Ubr4hBJccrDva zwEtx-tK>xcprm_H(mW{X9h9^Vf{ys#wd`o){WP1L<0yTSbL{iy7$kuX-b_CZ*4^I2 zR|XUDL#eBYr`JJCKi*jg{%+-)o<9Xxl^(^cBjO_QE>Xis-ddb(PBdc~xt ao!Zlcddgz;hsV~jyAAeSooL;__WvKPmgi;w delta 1554 zcmZwHTWl0n7zgm3|8^r#nhog%=x#4NGxV~uFi4@4Xap&kG$El}l*9m0!3>i?ZM$nr zN!MN$WT3XY%+#-4*HnEl#>5ZVpZMGiTjBNqw0; z`~AP~H{|MC29@+#EoPLL>0CcVVH|Ft?Z?YdPYK4_D_e48T$FIO0TpHRw?TDwSpWAdVV38Aqp5N8`0@{Yf0x(WrXP zYY7CQ8r0i_8t3Zpn*3}62Ni5qxd2@R`REXiD#{+}-Gm0p4I_c)RcG(R?Nu#C=?eC! zbmRj5WL$QJu`)=vt|FH}$H}X=w!0iYe6Ti)clkP+QBYsnTB;G0D0-RZ7kX zRjL%#>QTI-q=kBKl&K`twz8U5$w=ZF>+)17d0VJbrKlc#6Ze!mLhTwu9~On$URLj@ z^k@uotjklSL3>U_^N!)SDA%!p}mDmemI;)l6cLb$P0k{3ukZQdFB$xQ|sD z6;j9`sCmEC=Ca6=yO*%wbu1~yS}6)p|3R#G4*gLhSBvaFmoW=Nb29hCbmJ|wqf^ka zGHqy7e+4${q5`L-C|0JWYLR~0#x#x#`k~F}Q-a=7rjKiM}jiHTSYCa#^s(Jnq zHvQhtZS2{X4A5i-U4Ax^U(DbJuu9Lr?qbOw-qEqsHJ>=)nsrkZ+xeGE?zlVZGUR|x zr*5$goti__fo`3N?0+Ef%GA1{zJb%P_9f28W9QDEPsGm*y4HRcxAVC+Gcbj1yZ$5j zvIM?R1Ru{Kf^MDEd31#KvC01>kLlDu&+hssjdJryBBxO}3!`I$>hoDIv1e!f5@ClC zzFNm?Ilh`@cW!;fSGV};Z@&6oqp>VDa4DO`VJ?QesidF{tOicn>)Rb?nDjz#IPp%%;$W diff --git a/tamingllms/_build/html/_images/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png b/tamingllms/_build/html/_images/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png new file mode 100644 index 0000000000000000000000000000000000000000..d70df47d79accc82cbfdf45390efa937a3646b3b GIT binary patch literal 63551 zcmb@ucRZK<`#x?Y5|N6CN+l^F*{hO<(V((tWrghQQK3OY_K1?vuoWUZls(GcTlOa8 zdtAEj&-?xP{q=qPe!s`#?!NEp<#k=x^Lakc^Ei*=IIl;SFP@{NW}zk_A)%E$FQY_4 zLS8{aLb^<~5r4w`jS+u9B5HF+)#i%1fsLJ>l|IP@JsS&Ca~o6R>wE9$TUi^M-#*SG z%EQmS*T}}k!di@%*X(~jz+-M@$jg3_ycu7z$>O}4H3p+Zx?wSxabo`Hc{r>1^r=+O(-{>m-M0_6$` zR|PaPGh!b-79l-#^S;l_(yFCvc+#Q0LwA>1?N20*Xm*5KKU)yBn*CB`IP9-P&F(=j zO-1~x??#L*>EHjw??qqabN~A{+fS0E{qrFzMUqVw|9(h@^Z?)He}A6h`TwgQSTJr* z)gQ7Ei;9Z+$a7}>MuMMjFktsM6dQ8fFx8-vC87N9we@A<{FT(1aJ|6%;$qLzJ#OLp z<$?X#CxnHAMn_FY$Hr=hZCbW-uHUu7MfG4$`Y0+nE`EOg$8Du8Ei9Cjl$*-eZ@u3K z7mx|bw(6%o{a{ORX(^?Xlhd!pq-x<#XY!M0&u+B+_2c!$mtsrzZb?g%UHhQSao~VQ zTbm|{wtY8+rl#gYAD?K$>Ie~W@!r9~(vQaVnK?5)+DU_H)lzRmM+U#6hkFZ{PW@cs*I=650 zq_i%KffY8jL-6uoyYFsqf12 zXY0!U(HW+>I{use(~>mN6V+vM^zk(S)6Os8E(zsmE-E^?R}CF zA?ftO-~a3D(+^1OCvq0v>f}kC_M*}I@mA4hw8{6_jgsy59kp-H?aG)@PfSZqZTjMH zoCJ4XSXudGyghp`+hAs(68Fi@&CT7pbno81q2{zf$rG2bJR}WCI+yO;xpQ~f|Kq{+ zv!yuy_a?p;7yAYWf9omsR{LUad3RYe`wlIMxVU)k(!ehDbkj%o?~}_1@f@{KI(p>D zk$d;=&$O##-!UWU4emK^SoPfB-y$T-18# z$GdIh8)>?l4I_&?I{rl5Vpu;Z`j>F>qbi2x97!Ua#znnon3cMup0Eh=-!^Z{-0EIY zp-_b%u0Exl)Yv;VRyo~YzS+60y!=RK_0y+M7i?Zih`oHOn}B@8Pf6a@Ngu`uAg~-Nu-sB{Js7Co*zCO`TY5_%}7JSHA3k zQL8?xA}`wB#i`!R&!78SFC{f@V`ersy|(e;!-pg^$F=Y4StVA63D+lTWiL|~acBv> zM|k6hy_k<1O!huI!EaQvS2X6D9t+h=Z#bf2asRc*J`IkIYTw?EFk=}M26W(IGVn8-IKYLVJc zf9L#OS=qn3(3#iU6dumXux*?7wY;=6>y-H%%ia>Ua&ZmeUpC$1iA zP#JngRdr{AMuq{-(vJ@+&pbRfY+)1oI#3xVd;Yxc@7ZBiQ7ez58tGlXe#zlj*)O!) zg-AH?KRfY9B*$q%D5AQc;4bYhAwC=k^^Dtd47JrthH5RZn*v&n}|i% zzd_zo!)2?HcZ%I3nV$E{Bw60d^yYW(-l+%eThF;=?94^~7nSfP&3~0hV?D-yYb5pF zyK3tZj(;6;Ckor&Y8FMpfCBaRQxD0`>;7N-fRH-VUJv@%SpR)Tj(Gd~Z&y-MI)C8; z2X^wV^b9@*LA%F4>B8X7nB^*wWPBoh-8Gcz-HuGv^wNypV2ug;;V#%1fEh{T)=h2HeCW()ax3IM>{`qqUCnx8P zy;a$4l8)QYojZ5y$J@I~)H&LhP)vl)I|L$*i;K6~^Dr?n-FR4)y|lR4H8^+tR5bIDVEsJM08b_#wi`zYY_>ii148^6yJscV8$rIY#+*~^kB^@0d2?>d5 z&nArwHdfZhH1W;N%_~cTk+b9NyEHUf$riZYeiAbmM@egHY9b?dLCwaVmpGD>k-gQ* zzLTpFBNreyqQ7H(eHUc2Zf<5T^H6$>{5Um{w>Gf3Wb4+gnwb`)l#~ygPw^i(@U=;9 z1b5qC7Lbx!XV5}{w0c-2Q31dAcJWbq+}GFV%r18L@MGfC7}p=%w{Ksj>#7)H)Xrmw za*y+K^-s6-ZtP!^Sw}-gvIO=x80WtaKXIRuj>Q~7xbN68UlzezZCmM08WW!&@DFMQ zdDj|3{mS5QbypRuP%ymmVZ{3#0xF0 ztoUhJ1impX;`==A-@o6$G5AJbmq!8n5O*oEY9VyDlyflP3XAaV@Cm^LoxEHRBO>e` zD(yooD(;ixLeeg3NYHqafjq||WE#x-P0+NdX0*`qRK+nqrUL*}$f@GeA1}uBzJ9Pf z>Pp;2n_oX3Ay3J=ug59hRw7&PAYz$JbcpX3 zN41**#G_|nDZ`yUdiIQ0m~`n*AZxI>%2oIAmQP1qe$T$XGuEOW#Dzx-_E&lw9J~`b z_Y=<XBU?Vu?J7FavS8hfaQvj%~Z4R9Ccb4k8zk8nEmzByXvKQ&nslTYb{Uv}40p4O9mSjB{My+I5|JhQ#<`kS~Jh} zB_c-=sBT}jp}a0*6xsK0-*i`h&#fRsuK=DjwYJu0nCtwWACu3x-ELuJRhRXZU&WVf zCc(p`N@uP!ePKH`kXFE5uLVL*&M%r2{_=)*C*nxvi6Ht)49X8->E z_usxf1ZeU&{B6T~8WRR-qrHfWytO}JKs`MpBjwSuepJ-d*HM!-a~uOu6l#)m@~D{u zkMNtAnBehC+g}zjVSkA|lcD9nR-hEm>hxMWy1^ zm%jPjGNRG`J>Puyf0=90*sx*4B!EIMYMznNAw;%8i4XI~+wCkzjx2GW-1#G3&970% z?d3~xJFDNb#t6Q06#L1kscz&6!}{0@IJ8Duu|$fM33+j;T-tv>6R-BohIlmr)28Q$ zoULqZmH2|npC430#O-(z)IYs2*DcnfprANrTzBANgv575?Bw+HbwI_dAC#XE7sF}Z z_r`(9o|Y%XY=3=iO1a^k<97AxcHo@-=brkjU!cHKczBkVm0d^juoTuf{akhCBYnrq5Jl5zq|ZEdZ9QO&FEAF})qiriOk z-aOD-`YaB~Ng-6=(Stp%!Nhe2Bi#rngg)jYkD~wnhK2@UttY_yTX*d$2V_`6EKMye z7~-)(gY8*x*4A(ACOQO+>pY6R znfw9+V{IQ1F(LWrVwrB^XZt8W{<1ztE-o$_76B?lL&NvV2?Sc5w!N09og;=Pmm<0l z;Q7VnY3fvbK?DtwAX+Ac(;L)vU6(j$u430KTCsClau-1 zzppO|Qu=m>DrBvw`eC9)186Kpi^ijsWii$w_~-Ws@2`dgdDIj8`DVkJ3kMyYf<}M+ z{BYcQK*4JZ+hd?rQc_ZG?JrG>nKs`UrMLeod9te_LNW}ie$08%0&yvi_#i+yUbl<_PA8F%)=>m-sG)xoyT@C1 zf2C-{e*eY!)$v0umA}IbgGOW8*A|DpP$7?HtC&F>;6B~Ih@Fy!$9cM%=AsbZG#mF0Xd=bSC z^kK(}tEw)J)RlRqZ9sVkA8wqi% z+YTypwSBfO2^=K|i{xa!4%g)|>1rb1pMAnYk>6^bSBZ$G+Pt~9fN~G_bW4nEXp9Hn zX(DSP+n_xYYs<8}k9#6^^~xnl4!vfXeOt_8utd`bX&Z-M>Gy2J?|**ek&mk%wjX-^ zKsDt$g|DwK(MV|LIM$}zIES`(Z*Mq}=+~H-nPu>fcy|S8t0v3Vq}L_jh{^!&S3rBB z`@tTehz!skOHa*zy!Ewg1)ajl8Ry)d>*DO3d1p-hwQZ*>2#yCyNfTPnxXkJbxjmSP z?r)FtBq?HsNUtl18}!bnM^ejTwrRM<%$prC9k#Jp{jtTULDny{Y?qsx8_-8FVwmVf zh;_m70-+Fr9CF>vEMYxsl(C=FFu_KvMcugmf`3@ZY1eO!+{RCJ1p~rjJtG5`qfAUH zvDrFDQsd${2diH02RuWSXPIamnIplIZO?9<0h@57PDv2n#nZrU6F_nluP>NJvV)yArph^x2+46x9-qJlEBsw$I1UJ!O53_4|>a z5d?rgKi+O4(Kt8KC<;<%?$=Lp8Xd2}m%@B}$xYQiU&wAwqi3ldnM3vQ0!(GV(KSiR zDM1EA4z0=hXl2&jkT%*pd;HDl)7O+X)HgClclH;Ix@oF4U48cQiF2gUt&0~ge);|D zgAc3d3p6OcYH0??^vkv*O_ri9UB@W|+S$=`;o(Oa8Nyd$6$;AA4(m*Ap`#mo^Gxb`zB{Rhmscu!**}ZDbiKVO0EXx- zKbkadadKKFJ0UM7BGQ)Pnu4Cled-S$yEf0w&5LeNRgjMBBV=z>$Wp+PKdZ|@g-3Lm z`?kHN*XK?;^BD!vhxxcy!F@{W?m~(Vhe5VYz!J$gRLHChNrmXmC7u2xl`q9b zx)PuW-PIf8`q+hQmpWw92taJsnhvfC*PIwStmQl8Uy;90CZsvf?F6235b0PUT*OyJ z+kxU-Y3dT?=O~TLIqp4XB9#Zi_Uybp!f*{c;!kt>z8)QVIY%n^ zOF*ytl|fyd=0<;|ce(iJkZg9W5N-C|Oqd4rq z;La7P(XoW^>5+Z9^|J>Df>qMdA5qft)N|;}aM|W^lFo+qXDaF&L^4k&(NRm~SMK>; zL8|+4jzzsC+^;5{6kYhA<<2z*o_vxvU!|3gGq*MmLTup@DFiETC-8FyGUfZq|$4k6rJql)Kwl0y~|)J$k@% z^q54A^~OwlCRg42cWWj$*&Gglc=RLB2k9(9?!4LrM&1L?8%3Gve~^aK zWG!!UbR!E`u~f*(kF*uKZhnK~wc6=FfBpbx1)~%e78br$N!pFwJ3A1+oj~};e)-&A zUE~xL`hKeD5Oh80O{-r&xHfKKJ#>8K)&U*WaqX~U*S1LaDJNUHOGU1l*Y-z=WEHue zAz6I6`bZ}`_Pmi0Ik2BT3WLH+u>jxw=juMF@FK;cuoA>Ye=sohxUY7SAp{EoCV;vi za8*Ufamzb*8nQl8k33CoDg{$MV()NS&|*BQ{?&_impwM;6Ba6a zKet^1#jb-V&yp<)csy5;cdbjDxTm6ZKKpE|-$dF?3+qjl28BgM_p48=g#+EB*p4Uz zyp|{B{W;wJk$~}fNUSlDN$ZQq zrUufDJfuf77VRY2>V#AJmKYgAE6@8KywLR7niJ)(_r%%~9oWYKpg8p)4&nit>JbR)Ju!~10H{Mo_ z2%2|UK_pq%i>V=_fcriaFcZW{EKeZ-u2Eg|rfj>30kG9RyM(u(qfIDh*uFI|iS?f3 zX4+O4gZnwuquv2_?a%k08Pu%pN%pR;<36O$5|(K5XKF z5Upwe$a`;~6O~w*ED{kDV_;>ifZX+BLK7$?4g?(jOzE?gKJlDNSFTK`n;RoNd^Ni> z(Q$!@nolN7lytlMuxI|t`p1=wR5v!Ikz9Xz|GxO_@BCRN^A(yOW1D}os;=_iG{lj$ zhU!BF&OX1jH4M2u8G??n8Kd;W>5E)N&IdVi#x%$x1>Mb;S^l(TME4CI>Rvnc|5vY6 z{5~mqFs~g_oA=9?Y-mZGp;DAAcLFIO>wJU!L#!OCpFrHjmt=d79(@AUsHeNT08m5i z)2$sSQU+Kzj;!=|O-5GN*efnyytoAmtq(l#Wue3A%T&oO2LDP0Up>)o36E8`^W&oA znqMyHxL>4n87Pc#pGj*c$ys747v2czf% zaM5Dni|gyJtd}HzuTh)eVLP|M%Z`gP7m5-N9Mq=B?zuo6_Toh$o~9hK!g)f{IL$XV zQ?BC##%bpXR|yg*c?TsV(5np8AWpx0`9gBK`tW~uMkY^LMU_V5uDqCGiiQeED2sM& zYpCvgrcHb#9d2tb(x*=^0qYYOo@l^ALPDG&Wt42XGguvYsWaDQX|jlJYHEthl5OF% zROKd8&0OaYG~&sQbGLv}%Qeh%(EU_wXATUwH+O@bll-38NxxGuDi5voht}4#UeEK~ zv(_W2t1~5?Ru8ikW4jP4z%C)7Ir0L@>8dVTqML?>_3y78>2@Fz*P^3dWX5fKMD`80~j+1Wm9LN8KC+_`7Fzo1^OEaa^fm&yHkidx#1 zY|H;~Hc)2znrcm1O=|c#L)xTKPdN^wgml}(&9?G)BO`Tkm2Y0UbO}AlIS>z^TLn9k z8h1r}KvO`FXno&&C6@a9ma4AoJaXiNxR;2&pDqn(MWn3&wzjcg6H{uyjr3N zee2Tik)-nCu&ghiO;j&>KX|f@ww0~Zt4y#gHhH}MmDPpwpF@+f13wCcod6OGK6axi z-E5bR%iIpS6DxdBgVqZ};Z+;4(-}iA+TQ=TmupSS&P?Mrzgl78CR=so9`6_k?37QR zDusDOz~+N?c3vKX82U64`k%>4Gn6VY*}c_5LPCJh_4YHfv(adYSx>lzgKyhu4yNo4 zpdA4&ZvA|Z9wB5xWY?}RvT8c7#1>?srST)ODicu=R{*I+9cK?28ylCD78Mnxq^8#0 zWYFGJ5hX1K#5&fRK{O4lA{Oqa?#rcYPRca2qb(=-r_>6>2WcvghIiK%d#zo*v_f5~ z%)IACjVZJGMsopooqR7e!-k;^4v$FUh&2>1A z90hV&1irE#jtK%5khYWmw~qnPxQ7HxXmZ+4V}k$F$9(37q>5ePE!B$7 zMY~LWiP8CoB3^EG?qQ;iSwH7|k5w9sg0Ub@8%zz!R{e4pa*GMggCB`6{DfP?t5>g_ z+3S^JVq&@{CaTfXmC5tw$e=JYi{FX2)H2W$D_(8)y<`?8{qWhdICK@GO)2+_9?;3F z3f(BCCZG?kUh`2Bu}g=GsLgMfkv}^sq%dvinyoi5s&QUEt>36AnH_PFUtRqS<-iKS z68nhjSN%VlqFz3tCYfl4eA|Cl&EKi?Dcc)#zsP-_z}k=iKJv(Jk809eDr0X-t4VG* z6l%)$SM>CJt67vhe|%?y!BfeQ3B65~fkn;DA^qh+$8Y^O)RJLd4N`2}^*OynbX&?lizeUp(QAIN z@!76Gdw$AF9S?O$_JxD-uFO`q2b@%;)B0e{ zD{I??Lz~sRn&DTSgI!mduRq(B<3}T*~^a~ z1tJ`OapnI0b%YRsZakBWwUv#c;-D_yG{`=>cG{|%xvNKOW*q>OllEsvlG6NaKeZ1@ic?4^5aJEN>EgO)4k@ZC zQ#U;G45ukF{c)kfW^6Re<<+pY`#s#N!8BX;d82f0Fm(pdXb1rhL6C};;NLrjQc?B< zTv}bKzB~*hvLF;-(?JS*d^zfW*Q(7QKmQWk+(ynmyw7x}P8SbD=uz*4grn#=d+*ap zbpdzkp(*;C{2uZ{@%G;gbQ6ojOb9syE<&m@)_QSB`caXUx`b)CQPcQhx}NeaYlDef zs<-3}Db58Jeg8x;e(-hkG|e8VaNCiFsTPx@DUgd%{&oK>#J)`xg*^$XDfbYp1lix= zJafTjpl$k)-0nb9Aq97z4U@)H>`8%Eo(CCfHnuzwG);1%Rk}{yb^*aMj2x+vaa$kK zCjqSZ@24YD6rVzjW;E;g;y_%KFsh*Nn`k}F^md{yHxw?Kilj~Wv^sF_lNpzavGmJ> z?&kYXH?6sR)MLFvdO$!U0xBlM?%h@B?Cr-t4}L2v`+KWVZSR4i!HtI;Yz)lj=6<2{ z7@3yetVIA_Z$%N^iFjMt9-eV7Zo`;@-;K1b3Fq#)%_zm!bfMdT^hk&54YC_b4k=dn z$aHXh+@%@R;cW~Iu=S8bYJxJCoN~W3(EXESI4y^5tAx~_#T#NaL+(LAOylF@gy{v_ zE@zZ}lCW$5wBZ}@&mMFGILqjKD5C3!RnrVAwH7p>AQ7%Ku-wpBLIsQq7dqW^`i^0( zAfdEddOzaI9Ms%>lsxeru~tZ@4{(-Jz{wZH-GCt^aQC z=*aIdebb;K_^zMdHUd6_^7E}Rz3c4kjAC^ka7tnM2^bVY}3Gb0q@1MF{P+b$PsyYqUJ>xLthDr;_j+FHgAraTD(wI6P-|A}02#Qb^>3LjivJ&gYXFKLE=fg4Hk}H1xf{ z(yi8EllSw{C$4q1j{KA_pZ^fn%<NYo_;Ce zprn8EW^kW#?Yr7r6F+kfiwU+I7|afX>2D5l;bCk}|H#M(gX)L`u{)!02^n4BrfyPey)zK7&>s66USxzVDt=yBQf{No;{Qu1BUJ zPcPjn^A5)bC_*@^%9tRux1SQgGCx703cCEZxrWC58ti;AKiYLDWBju$y6?eA8EJLr zjxtOqzrcoFK6dPwXMCmUQbjQd4JLv~9#K8KMFWDsOVWI0Qwg|^i2FmjVp_qx;f z?_SP6$E9qXjK2K(jT<4yZft~=B|0W%hZ8?14u+*V4#~offEZR}} zymkQF+tmDRA$*{$tn4vt187`Nff_@a-wdbOk1THRy%zjd{6?$2tF+DaZwyO1m@AsZ z-^i4Xx!mEsn0~RiMHr2gdEROuLHgsol6iH(V-sYa2grBKb;X|KR%7A?dwUV<)+09kjgwbz9&ll(BS-w&`>WmP!u*m=Nym?HbA~@irlV<k=S5Uh zbatXM5)J+INKziZ&Cq4Awwtw`r_R)CMi-nkTHNqfQ&o~RwGI+~*N3FsC{%V3FoK=q z=uV;Kun~QJMes2~LqZ?39-CChcl>W{t^~C;*gOv|gpR2h=s47p6KFzV8$H%xP!(?M zTmf+eKb(w5K(;K{W&WiAev-|Sjrcjj@n-~Wm7Sg4d8SerXMoSJij@R{e8hx0K|z0) zzx)c+V#n6N*F%lnkoK@Dl{*7T5myhgvz>gCu34VnoW^I;n507>PnaBROoBzigA@FEEp49!#k-b(&nnX@UR-cSJ?(oF(`-s(Q#qsLC>^0bBDQJ%Cg?YRYr%~PD zKHkM2Uu8BxY&hsV&)xfuRt6eFRwnEhH~}5Uc3(in8iw&hq**Lrh_R3HtN(K@)nS^c zZ*qpk{^?h!tTrEp*2l3p3f|0z&>$^K;lzVV(${JZZ;;)J^T>NvIHd^Jlv{dA%4^7? zC9Mf}m+ruQft6#-HgG2zW2a&?odem*+Ltbii)T9vlHz!6-L}n-S0E^wQ&}E1kD5VPsqu*BGBDDFmd-rY%?FnN0&v-LJR=$sQnMTt+ zjRrl(4w6P>J@oeOh4R>ga&HJ^O?a=a;;&SbRIsk-aEP`Goq7+(0rmqfp(7LiJppI=P;fyP0$ zlk+E^C&+;shu_Lk*6o(;v<*21Lr-0qkW4}d9Tmjb8C+PzbtSW*A5`<9dr4`$M_n`m z9aXE2JI$LCCKMR2h|q@7;SJR1rGvZJgm1H=JA8%GuMjEq5|Vs9!QJ)}?v2;4UlaLY z(IIv(7!$(8fm{h^wYcl*oQmsWHziVsK^rIRqTWorEN)e>J7IGPV-=yh%nm66=$eK{ z$MXRO5;8kXP&-eY{t3YuxjYrv9nD|`=m>k{Cht}C9dlwB0dZYhwS$y21Q`p_xnD#i z7$BB$dBwB#-HR$09vLpctXPO!K!~Ye1c$xMNEH|Yt8aVl*?6yt+RJR?+Q7lYREvMC zq6FWKbT|WGlnS)k+gmNQ%#BRYQ|P&QacRkNs^<*y71HX(yMxQXTSUBxfC_?soYy;r zD^KGmr*X_DS4-E+{W-Zq~Vifd6&1MYf52-s0yoO5LjMcj6tB^AQ|e+ z%PR?ZBmn_M4K`1LPl}FJ6knxfTnFnp0rLoc+Af%l#UiA}`KLTdSOZ{FO!d-uA> z$Olcs1haML&Tl}M*IQy?{9_6X+o!#4rPl48zT7oWMv+4IKpAa?AzReE5%8VCoHp$sG~ew?=t< zpH`~pfWH#qOfc>E5&|1x*$H~a{F{19zw}h=DExOvXiVCG{b<(-)% z-Yut;scl@CTAm%5e_bcpI*m*`4YJ7^@$~1Y<<3y_G8G1i$HnN{^v8#Zp%flBG$&JpciP zPDEUMX0i7fQ|87Pg4w9Jzro=3J9sT8u{5cAMH|V;$v^R&YxDeG_?Nk$VQqWe$X&nP zepk$PuuO;m6e3!bH84n=JUmaaiLm*ZgntsjZ?Kw}X2FO-7m~<iFdh-XUw2_npd7~VwVv;_|o8v?2ZMyvoKg! z5)P5U2&bpSC=#$e(ME6f^Xm7QNlrf6chleK&XC048ucP1MApE-Aa_h-BHLl+pd1$p ze{y;{EHKQCLKWFD(a|JbJw5l7%Ixb$<}iA4VUutLXT+tU!ETS6 z=G%`W$#0KFmq?GSm)cs1X4lFoeyWnCAfSOj*x|#hA?CfVNUgEZGuSYXt+=> zVF*4TD%!l$tJ{q|{Z*Iah|8JP{q`BhDjd33<}Yj4RO89a%u+HkN`L9^sNsfzO}Q6Iy7?S2B&ktAEyA-+ljyf>2-GUXrzDiU1Q5 zFAEs#Wv*Y3nyNqhKfgAMcsab1#jo!=V`74#^zV!7yB`5dz*bwkkFB)g( zEe_RjHT0{cB28;MGJhAi6&8F?llcT*NdhWeGzcDU)nxa-qzS#W>h_rJ==N~mx3nH7 z?*$XF`1^Oq+-64HrULZnCm^7vF;q4UC!z6rcs%I;Xdm3kz|U~rWSQ}pVB|5cGEizj znG;k2*zlO&7cA8(Uc3wl&|hKLJF)pLKqf02+l-_NMhxWc^NQ!srFm_t-Mtq3wb8%E z)B&J?nNODluCgdxZaob%ataHp98}s~eBH!EV^q(EA^1$l_p-7m@Ef?fRAAa+o*M%S zY=QN4bv0|#42gql`@SD@m!v(BUzsMC>#o_-ow-;2=#hYzFJC4JN}>V7J+!s8P0q~~ zNAA>Amh!sTUwA|3)EiDYXIgNeh6VR16vBj_pp)B1PyfnRl;9{lIYEhSirJ2Fxh~jM zK;xcnU=y^Cr7D->y4{v}Nn5Vzex@~T&l?-%n_JYM-MBDgbn3XbZSb0ovN9vI z6haArBXzfr_UX#<6K^uC&pe?iZAt4p{#_n4pB&fOr>x&mQh{{iRx}7xyb%l@hql$- zx-L4-$vxQDN6*A`4p+ig;ZT81d8_`J;hLKhjaJ zCR$pUFl0uoWVViTa2wvdxl`jzZ%>bfjm_7_MkZpqLsF7cAHeTicS&Hd^TCkQtAtim^ z{g4512XB)>>?+xgw~2x|S@)NMPQzbqe|)J#y#y)>klhIYCc6Fw%GTjjA#pk@aX{YuK%z4PSK04ZXc7~lh9|i@f+)b#$;+GRV z0%p^w=;-3W#;pgs^i>hW_Pd&qIhvh(#AM!|m6=P(tOR-Ab9;RS;1eLcY%gBCz);&8 zU|S%m4i{7XMNKLfCe}8+SyziGo)|;R3GRJ-0Jk^vKa}3SBk(vs zKLN7fh0O2hh`?ja3HR1HS2#;5RVKGMSC?bW_<2v0I+&st$QkPO}`zS)SuB~>*wS)=s5-@kt+ zeErxMg68-qI%q&%N2A&rgAyXz4~)sxX0a+hY%QAppmmD@vj}ik660KeL?CILbjatw zT}n1M&?J)YcIQ+-%fa}LkK8(?s)FH#Q8gNgw6sBZuWd-0=RJ zI6X5Hl}-k>ME@QHQMi~bHRh>P{Z90*iSWK|uHcHXhxOo!j zdnEjw7=nvk=e^cHLHdk&3DosJc|I8U#HI7tP-MSw*zsPJodi1QOpSAJX>cb$2vT?)>#L$KZ1 zb-Dz_ML0f=jy~`=@XL;Fs_4meUg{4T?Z^oO9jM%}QSdkhe7~%XXiIGp^mw}_arMbF zFPjp8q*cSFGRcvLgJGQgPr;>J~^w{ngYc@r`BS(hv=vmvkez7vRTZrn0nW1>8)b#8kV z;rKjeYQDCUC(J<8%GRz=uH_l3=Iao;wiqDk1zjZX}nghm8Mla3i7Qdr;MN^onl zH)?vB(un`~P&->tU;+#LOOFfw>R(;4$;R6DH<99Sk($0CaWc*H+nDo`C)$iFE8ktW7N&8+|Amy>|-qP zPL(w-9Wu9RE5j}oPgi+)e>CazMQPs3$awbV&1ern+M|H&Y~ptaPB%fGfG=efcsAAP ztm}CY&+2w)><5iP*pWe8E21Qzqf$+uIK0Q~P;avHo#U))%r?l6JgTjMe+18bZxYMT z=g`&Pyq5T2fB6N+->s)-f&)t5UP&SaH8B7iQC&+sJ1;LUG28?KBF2OeU-ig<5K_3+ zKR!I7l6YRl^a-$2npvw5T!F(FQUC|b-Et>!w8%=CCEl$)x!v)=qA>5O$z!M9R{AUj zA=9DWg7R6gK8rCyHVGmk8 zyB(Nx!}y{qd}v^Q)q}2d16(HqBdn~hZrZe|06qp!jp{%b)s0mD=0c%%?usaXk1y1u z?9T(J^PX&QNtC^$bJ?ij#u^7b}WMg#~-{HAF7 zTo@xs|0m=-ui|B+sV~wYh?7CnVQmr&_^&DsK!^;GXRx0 z$6dAUT#$eXbsGYZk(Qk2i?FbA_?GY*lRk|17It>-Ihp;Jk@#1DYt~e0JMmv;Q^6$; z>dlpK%@K4H=+soqLV-QI;A*Cr34XJ?t84F?D*-VUP9bWq!pNBPWttj(&V76Lo*c0{ z?BnA@b0c%8DP=#JLU%7cX5D}DoP0@&MtDi}$@bh=)pvCsoWA3Qhg3C6&&c3Ba9{(B zjF3M{!08Z|;@h=r7bCZ7K2{lih^W6gmQfa0`~maGDU9Pnyz^>^xw;dZ2y@>PBIN&y z=C3SOFN)CV?b(^`R7Juxk(!;(NBeTi?+Oa0Jr7UNhQ$Sz>Ei*RGz#2qgO%u4veUwC z9?i_lhZ~vf95GWx&;DGPJ_HfP<0nt_A(;|D2E>Gk)UFkwp=)&9>p+hPzwN3h75i1!I%dqZ4nGU;A&AAB}4R_?ET-i zjTj}>MD_O9{d`69p^DEVE*}o!IxOJi;86SeG-Xdu4;W&Qr${(zn+pz)&e#+L5Kl(*;$`yR~S-so_Ne{R_#@e544eY%;;H6DY;^uQdx;*C2 zJ3QINxHk}CiRmdcz}xoh(ZQ1yZO|p0$XDV5tD?=ZSuzfIxSjg?`s?loI6rzvD+*_E zWRUMm>+Ag>+vw@f89^Z3UepFMYe(p-C9@L^q}E9+v0dzkEG>-j^)n=&6$R}$DB zlfCZ99H0O`DSbFioPni3%M+N{`uMjNGUDX%seiFQ28~~0q0L%7Na;45WhpqR@aiHS zA6Z)Q^7;J_4J$Y#AsfabGn|%wx0LaI!Zw*PzKU?I$K#BlcvB9fnqx>X`-OzkubRC3 z25V(8B$;3dht&UEjASobLYPG&k;Pbojx)ptz(0%z>m5W|;uSH~$sf)WmL4Ob^YY`s64* zegQ`DzBcZkS0$q?$r;6PpIKPR`k2DqKC$4u|;7-v1Y>B;yq1DDXrGDd~>_BHE!t1Yqc!H zpr>np7V-$195Xk63v5N`27?0dz(f+Hlbn6t5aTb-%*>1t>&+)loIn#}n7eNDcF}EG zH+p+_==k#{O4Zm!=!rY?$an_*=J4JYI+JBsT3j69D7oVaNI;yLn~)cWB2l`>R{ z@=#HHbIA7?*Y7S;<`fUuJKU6PW8_VtM;M)R}7 zOswVbTTsYh=BgV-vdH#j+w|jMwH3|z=dE$;7M56E>u;) ziT@-ZvtU8BtD5tPUNNyY$`&_8!!N* z^Edy5mMoby#XJb`#phw1VuYPZ;ktL+o(e2qDI8@nV<6SGbchqBVfZk$?-75sm)& z^RK|*E;XbHmH)+4%{8G-1fII3<;%yk?ldb3;>vp_E!-jNUAY?x1P4?Xjck{ zt{I)->F)eS{X4^dlN(f1NH^A~ZTuhJeL*6>0d3D2Gf2~Ca7d^uF*>*7G7Pmq6db_# zHCg^vgslfDyB4}7I%%JUFn!gHMe5oAw2{%af`zOOjd#bd(Bl0W=p*^FZ4_S<-fr9+ z!AQXub=5#Hzz*J4PJaFuaOxWU#ZAfw_*72f{akTato3eLsmv3U2ZjOUkzytn7KA&@ z(+S0fFs814GflRu#dGDVKXLE6=*3a0oJaFnU-(Yu+nUjy9%+o5i8#)_tq3>Uhc{1s znQt*69_sIVeu6QFvqJ%W1E8BL2=maJb9{j)nM2EPBB^g^s3_HU#&@7 zSls{cKzEr_-*E}6haQZGIWVB0Qv8jz`hVgG5p#7&rvG3EQ-s9&P&HodhIaoaR<9dx zUBD=CZM@p?UY{mh>OXcKYn6xDmV{e}rnU8iS2<gdsrPFR6O#S3@{Rzn~QqO}EybF=X9HhTi+ey zJUG2z+wg+55%yE!Ed*anOFL6Kqt18}^Yoxz@zE)~mLNEDTB&Y%+uJ_6O}@z~qnwYA za0_T?Xw>5}Al6{ZF%4Arx)kD1Qg7 z{z@!j)#DvU;3fDQ7t+=*!Vf=0K;R`m4jXA-1Qsv*3V#oZjNC)K(Smy~cU*B%$s@0^ zr{<^oSy~!ykP_}!p#9T`>hUadu<=;&Xq-VnMt&Hu;Sl-`ivwP?u~R;f`+LS3a5OZ) zL8!`Q8QK|VsEE>%pavtXhf=X&cG8bEV?Dt!-@jFeL@{*stLomj>m|%nk9T-JNq5H$NZL-_97iOUU#* zUb%#q$NY#+oQ}fW0+_cHyx8DxT^HcE`YB*S7#FxPsRE zbmv{tLEpW`@;Zbn@)PgglTNEstB;o5b}?LpT`O(k{-;lZXg`Ua`Oo5r2H{1HFF52E ztKI&*!Eqcz$l_%<|A(yij_11l+sB*AXep~gi|jqJQZ!LyWhRNNkS(i4r6SoQQY6XV zTO?(ttjsbRR>;cw9%o(G=j#6b{x^X+)8g{rV+Af8-)P~)dR)JX{mE#Wh-3jeoE*1b-{OICr=v3_w06sj>v(_l3*~zK z*98}e4ensr5-!8#dc4JQGe*N47`$WHt~01gaz*X2vwUC3AOa?0UpotO@UC9qT|w+( z+WdmaU}T>))8ElMByG@17~TNDFkL2_9{5cxqLBI4Ss)G(3p=RHq%9yM6I6jK0_*cu zzIgHJ9e-&Z9pCWPAN3;KagQ42&vyQ56rJ1e;^HC*cSCyqGcW!$PbPZ=LhJ~45IF`- z3BDgsW0HQFr{v{Mp)w+~WF|68g8S*5K0ifLHmo2jFu%yXJjsQ51Hz|2=GFl2@PF*t zvuDfYLewH9ON&yNWt;`y0{_Ao2u7QkneY8!VH;1MuX=EF$Irz#smx-VAN!eWRt?9@ zW<~p{l^E{+7VaKR26pMj)qSE+FrP9!ewMEir5mw|gm1_L@}vO%kXF4}ONzWVSNa1r zf;Kic&tzmKzuraW9}u143&Mm+sEcGo5Iq5!VE8zk`~?FV@~}{wJOI@e1KMv$wM^10 z*NJ*ie4kqFzJ6YEdwLeNX3oulX}Of1{@plC1X2LK`4fy0-u>=#6{FnRlc4YXFRKTxMoyxMq{YhG+1X@-db&+?TNrux1W z$mE2=m6YblBV`%-sdcD4UG>MpvRfTg2bp_jv%Cd%`vg9GSPSLJ@zJiLdja4ZM6DVT6>I+X7;d^aE<;HiW5V}eX$CI$-{ zrrE}WWO%%rx2FFC7&zb?^kK-4Qv8lR{@dn<1#eR>G%lmY**JQdu`Hbw-AZM)Oy=O9 zl`Kqc!(W0ONC+Os7%JZh2r)a-Mt{fuZV!w3S;RavD2!LuusE06uCz-UX|QD+TB2&c zdu{2)^?-Pj{*I50g}a6PYn0YVuV;ShUa--Ayo+NKYRP=3(K?7k-`t?wj0qvP^+B!B%kPRdMvb8bsh8IJ-7_qyVtWi9nv z*&|)&wSFlgYa0b5fbJy3%-V8%;+Nc8-ryFp7PE9kcnvRSX}^*Sn|kvC)Gy`}1d z_6qZ9(j|d?2wPracDD@R3KIKnFu6h4fP`8!xm8Z4VY_7U#nwfm?R)f_vsuP(4j8q3 zinDfvT}Vql&z;XhLp2~3R>49Q7IuH0DO(21^!Y=r@xjgO zEk>%uJfG1ThyjcnK7o7y85j2>&@9?@!51>0-AP$nao)(N9I{+!^hi|Lg{VOEbk3OSFu~~&k@<#h`S_KsVl^HKQko_W z4nLDI&pLkLmV}8|#-hh< z@vVFJV4Qa9Pc&BDdo^$SZTu4ya-a?LjE<%_NSKT^r*`Dz`%*51!y7dIl19ar{S0#5 ztJgR&7P0CTW+lIg#UUo%V#ujGWMr6GSy_#aWdlk4mZe~%oq*tiLjT@D1J1)xgRZ5a zc~ucNKfUVBUN(CAEU%w~4OTq%(a#+YUx~>nn>Wb*(PU;}HSm>9gdsrH2biva(Q6tO z&-qJ#PzHsE_HX%)61Qbk(0h0o%99LdXP-vdCx)K@iX)o*Je0N$VlU;9Cc7hfRMod{ z-zM{ZbWqUWCTM4{!z34jp=MbP9DVX6dwb);InzC<&L(od zHQZ~MioYf_t$c1Fd%fhzlifuTt3Q3;S|7RcTcb=t=pPq~v%vSjp@dXr?RdhY?ZiV8 z{rvlUnhYlltCJMh=@jfy!3ei{E&tzGP7-&%wE`zxD%${oVoXG26CgS^7Q4G*n$N?> z(|r;SQ^Uh2Ab0%s$B%ovl;d3}X6#^Y?33oE(Ye3jr^JDm*1LBKYY+M?BXiW{j%IF+ zCG;3KzHZ=AJV^&DQ4iw6`rBEN%r#DZM^yzEW+r6A<0~fgiCxUsGZ7;m5@42qOhI># zoBQd1?DQcm~rB+V(iWip1(1VMGmn!bytUba3b;z9__23!-4a0>lHEj5#j5 zOKdRv7fUMXYR=zUn)*r$c{m}^!>i(YgrX_mQ?ZL5AHl<~$Q5NK0_euLlPl~b(!dLc z7pSr0(5?=a;G0>KdqGFOJee7tm!sAA@2GBF#zx&|Xit7oL&7&!MGa#qwdI9_;Ok3XOWUGwvD z(Om;Rxr2rhfOo+d0zsPjULyC?-}W$9)|1RvZGO9Ha1x?~jr8>1_;vrV7TBZ5KB{7% z@DD2iR-A^YsE7_1kWG@JaM8)lr8)kes-wG)ZhPHt!Lwt>vMU&fzl+HZ!B+uLvWC#5 zckPn<-8k*-h!@7nis$Q>W(OuCzWh1s_y<3vQVf1vT zGE7cjB6~{VxG5h6TGV{UVXh>y?4Szfv?(g1Fj^@8ylO{;C?!T zR;6QwYpt3dRi95vyW=kf2p+E%6y0}fb+O@N6EFr|%yi-$XoY(F@%jylv( zQhZIb@A9~tU(4J^`cFwv^6RQjl?+2FZzU+&8$c__}3 zxOZ`I+(L2c9~^8_s4QpqiN(2RITQlK>gW%s#34!>%Bu%YbO^mt?>09IsiL0OP*gZOy5ob_$$}3)2R0A0ZH5tVY`n*nddbe=Wt^YAbN!Z)^LQ z{U-cIgzV2Sqt>oPO1+OMW)iTAMiRC~LV;lmS<)hDPYJZNSMvOv{Gta6b+ zv#q;N>gh!`vvrnqMIT`EJa+5Gy#Nv3it_T65XeDfVq0lM8$OD#D~0wG$rr8X@8}6L zr_}}M*pQ1K;fCvkJWlw0!}toaxeDF^3ZClp!Ut0SgZpXhC25h^BhbZS+&Iu(TeKbK z?~kCV1S}{E*y`kkcVQ-g`}9!A}qRA{jA%-A^07bo8|#Mxq?`djxb-eYS@x(grWb zlR}Ae=)&vH2#Mdm8($xF>!oHlL zFli-?-U`j^AETG|&0jZ(LsxD)J8q0pm#XuqT*g7ncXN?d38wXDqTPoNepa|)FWsei z+v5;<>1@RaozPTy@KgUUd_{E$Uf&@2A4R!SGdKC-3d-HJl$4*47K1xw+W)wFbqRC{ z7!^`TOH0Gxk;`U0MfbRA@TK3uRGhMg-W+Fy&X#rq zB_NEF3&_0tN8w*|TXn zC)h+3b1X^l3|VDDt+A=Vs9O>70|xQk-6bN51+u3%lt+1a49XSUglauePng)R(y2Hx}l(_}YnPxx&Z>pastDYF*ul$OCu&37zsO+B&E0*2HZ= z*dVHUpo$YwA}9LPpiIJrK;*Rc-+VeO>u++#k+2ZrYo?^61jp%TF>UB~ND%wcbMR05 ztfYXTA&D&$fD!@3o9Qbg6hx=ec=yL5Dk?t7oD2CcbPlvou|V(&Q)~dBWdxG5Jwz#L z+CX-iK+kZa(e(DyxySDhM(6c>UP)k~5BT*hEg=}t+S=Wb_050mJ%H*ER_G{1M-Z_O z5J>{8l>3XbMm;d>(xiuYRlL6R#g-SW)c-gOHs(K;0zK{?0{c5~1|TLN@|l&`m_i&d zR8?tlW1I6MU3>o{X)N-+uP(^XKWA;N4A1P_zKOSDwBbkxk1;T`R##Ei^tUZ|8w;%3 zj{yjpD<%D|h5w>rO~V6|Bg7UHd|cooWyFKa_LX~TM#d8iilF<*eic)1`QbZ^pqR2- z?q2(OL#P0@`{gYyIjy~+)*A2RGFJUA1N?E4)w@<^aFz*$UUC}BbZ*`EF13^R49d4( zwh9op%0t{tcT<-*g;E-=Yvrf%n{Vst$ZvV?zEwS$lJgy?8OE2*kP<*DA4$-4Jxo=L z0-Cfd|I7Mo1N=)Z4I3L9_c?r5&s$gXl&Tt<9rQU9G&TP-LlUb+?o}umG z6&YT{m^#&I_NJ}YX8yu~HH4AjQrq<~EbQ%AZzW+U zpj!awpmYqABphCJ3+MCnGgwWnz6LG-QMvC}z8-r>R(g6_dwap54CC(P$2UyA1;c6a zaUuDURf9JSp3+qRC>d!rnUpmCpA$!k%Oq`X7PsT!(5pqe;A23BI>DWy1q=IrST7e3 z=*jVa#2?Y1-Pj*TrMl_gw{s6~M~$VDKSB}(QjOib?ceoa-gWzmWJW|5t2X_Nq>DXi z6=w%mosxppXvlKBjRye%Z{OsWWId{OHHBNqzuynt+Yu0`GWp8SL!Gi5IBG7$Qn**s z?tB4xpvm%xSjq}*8`95A`XYu31aRdwKz+wg57~}1C$}MZ>V()?bF~P(&|mMJ6=tL; zJKx^chOX45JE=ycSl$l9lG{E$yCfvE|6uh2NV5k6RZ-THNkNjL;O)k>)n~u@4r3=z zR#w*WI;Za6{Mdh47Pv|1h(CY*%AudeP0ZP$73RqaVtO=tMiDKVhpRH-NHVftP7&vcg-Ro*es#|b9<%Aw_%BP$ zBDlG!V<#X#{6CZKcVg=VuYv~R24b*x|H)-f-ybZgf0-ckibb5pg~J%p7Bj>r;_q_5 zjc*M{sd?hip&QM{q^w~_guF&t7w9R-?u@vOkVYEFa8NtfTyPw^F|l##s$szw8XLhU zJC>H<7IPityNiP%LmZfbzJ%(Dxwxy2K`T%0uLIpK-orogHqxER53zHAU5fvM2j|l5 zf-4(%eq%H)yZ(HZ3USb?&gG9|3SJHh5U`*aG{@{RqcW%dxc996zU%~rnf^OwtYIPY z2!sYyIWbo;=l!#or8z&)^>oe#5%={f-r5<$iq=Cf5F~Iv`ix4db^kdw(m2)!d1M4a z9JMHpDJjL`GX?}bX1`Ja>lRzz@I_djK~;DHnE}v~#eUxL$4XepL*6wiPvdl}*Wq9P z@%WjabWAvd^;=2m?26pV|3?y>#c zg|6dK;Ae~5n^CmE2rtjK%O zGC#|gm`X#IRY5G5@UWy+?Boq%>$7ZUin;!YtJp;5my*KI$2XAmDu_cDl_dfR01S!h z_4}4zeAKB`K9!$#|6F+63+oVuP{qW<#nLwhFk5~Q8Ce6;^PlD-*BZy}5CRf<>5SY` zyrk7*JZ>g8T<40%qA@OPu4bPNgvs`gHn# z#8&ABy#gH{qOCz&3lj?zWrh^c?x6nLBP66cs5;_zk6Ai<)r;XzmK@t>KK6wG%#9QC zoz)Cx2{+#UI~k!|_kw-iBgB9K!7vTMKnE=fc_+)-z4QO$^M}3AXFjZ=u!)ZDu!_q4 z7X>_bNe2i$4ZuGzQs;X0*W@dUT3Scaj9pOjxZN1aS+FB`dpH|e^2fnXeg;|`ZKc6< zas)Pem`Qs4#k>%&PkV`=gQBIEfPI{0cLAZ3fjPL+nSA|=SzDLCd`P31p9BN13~+?g zscO#V#pK~e_4hgvPa=rq+T;!$JqmJbyaSU{oQ4*~y$f&Z{;rrJBz@2?QIl2~e(i`N z0>V&JVe+Ou)n~Bm|8$uFQC(QJ2Bb>%dyf^^f>x z(p09F&3fL}&5%bCo(jYXH(IC_W0qIAm&caX0o0X52@E#tH zE{$7Ym&yV}eIViFyn~b?buD-*LBC_T9-`^a8W{l#+K4*}^ZL zZIVe$S( z%58hYhB9?lnWRQG=%JOvuR5+MTpL1+ly87>qr2AbqM_JLlx@lWE}eU-Km13ZKRa+x zgq@uN0=}eb0q(uY(L1DtBR97w<5g$_?;$$|@tBZ1)*W?XOnsB;Zo_%VQsk`}_CKjV z)lauJru>}-Fpy9n>3{7Vyz>=MP}4$_>=@t?hBEz4P0cGb1D5>Z|CeH_$N@YG>FnSQ`eXlqISdr2-&Q%@5KCdq_GG>2JleGv z3g#0bJwnqBFW!HP)dd6nmMtigtBEigrui>)C~7%*t{=JT(tC(dz9=@1o41{rV*y`7 z1vpL^^V|}%pH$sPJBx|VoT&~S-%93|XS*go_4cY2=NqqtBE0as+(%KZ>2Sk+74D$5 zH5Afyb;$oyycm)-Gw4eS;GVxb&S_qo*t_Uue63 zdz>{Kk^_Q(f9`H$-CIoKlap)^Yy$wtvt|B^qcC%GPVynxC4k+GvoqBVYa~QYOpv%EDZnT+ky{unZYaq9fYrA=>oKSvztWiU>|Y%#-zcVVkV zT{7p7H1;zmsxs;A`o4enfm!ja)|u~`#p`0K&zDbmk9jkVjGpQ$5!Z37t}{xG(IzXe zL~+8bD+DTKbjPJ29aFAf{~FvkVlE5@GG?t#ExjSUx|&}tTrFBU z2U}8puQ?&)6k7l}S|TTij%b;CXR+sFN0zWXTHZPYAjA!Jwm_WbGT zgMh)B+cwuI>odDtIIE4z2^QBkW7Eg9@#Jk0WE@hCLn40#4XV10ais+`CUQ^3@x zaFV!0MYH-UB92+=ytsURa`*F>=@ic^pR;_otult88}7O}8aFPs-G}eBipYs-H6O^D zkBR%pP^6rpQ~MIvSY1mibnHuNYO3pH&rV1|@(KzP(Nc31ov|+T#AJg?1vJO%94xL1 zyd;atUG)5$`>r1A4@(wy{5TW!J>f&s?rD1;fPOHbdn3o%on~}%#RqVgeWdHrnrYbD zrmHF>fB~Sj{5$-#oQ6(!Ot)meZ&4pU?)khlrzJ5Yc=)t4}25(k#j6BP!$@WCsg4Fo&Hz&YZl)`k+NRp z?43vn6ty)iw2?$pfYDLVvys5SK)Jow(S7a`5D@5g2VD`Q51WYr0^=*HX20F?A$@4{ zK}kh@*T<+l{ei~16lNv~ro!}ox~a;cme@0PJp%(r0E%7pY+-ZpeE1hnZS)=1alnP5 z3>>}jVOB;)7;&k-pJ95|&hS&>$DqxdI*u{U5izwXJcV1h?l6Ml9hZ)ZimLb}UYtA1 zZ}%-~`1|+gZ8}XPsU`rOSO&%LY(8ZOo#NVRn=cPkvFBkI_Ue>jbtg#kcJKu_7tM`n zJSeB|xO0J@M13;{NJ}$6jr!WkU1T-j=|1h%q{Gl?G9Y><%H8@DP}7 z-|v?D#?INWQOF*iFYukjND*7gc5`x4_C$3XVD5|!nwwZy zqDB|tsJR)I3P+AmppN5c`l8D5rK-X6s-f%Xu6@%^x7YJO_i_P~1mMa;kls73gAQ|j zUx;%s4aN>3V3XIfWy%g;f{Uz5ZInzwP4a~iqhM>Np;kc$_(QB4$TM8 zmKTbmCTH$$~kesnVVn2#%-#)LL5@YOH#_&&&1sU2tm#=<8lYLRam76otjXaX znNv&@tObOpj+4n5U_n-g#2wZNxL+FIg<2Iex?j_y%34}lF}+sQ#NA1? zB!9#3dvV5*uQTu@Th17)2(H^U+{=BK7ZAFp{b-j=H?88p=cyLBcS#c0Y0#IW5Xk}n z&Vs8=&61;kgIEwF$Y%gRl$!?o@N`?M;Ywm<4kBjpmoF-+(~aqFQf6lC-RZ|ybB@dn zR`Zv{B59G04#Z>(@wEYaX`!vBe)RT!fLp%u^(xVwY+D!IGForaHJ1Shu0rp95>=3* z!|=rC;*v~rvtYh9#D}Vt0c!@ZR^eq|Zx#lIhwv@$${sy@I0h!I*_L6)Qv!16Q}Q?y z`PzaRgFn^bY2lS`MH+xDX3$Irt3yUbt=Jm3t&Gjqysxm$*J}R0rPavPFKKK?nia6`%59XLJl z@4^?4B0j2@%fi$DM)&9jQw#BRJlirMvtFA(`Y>N+Hl6V*K zto~p=!tA^?PJ-B-hdqo>%+?_$#<7I*it=E2Gcy*u%CY+0y-UjfS4mpmYfLWB?R|0@ zD9c&>8Brl28sVXVd($F&U5pB;?PRlX@jmzWJ5(+Zc{8d?BV3!pg{gM7{i8)f#`r=0 z@^+^Jbox2p&T+$30q+Nx&oPjTaK;LahR@YXH*_@IS=Hlr>AwAJ@=Z7tFYnm278lL; z&K+uSE`(jeY|zQ3udj7kvVQw}7#m#Echv=~Lrm&F#(wF@G}{cT8KG|y)WosY$oY-Y z`m30lXQ>zP=-6sez={J?W$aUPsx(3dG{%Sq`yPNbm#56Z$Z;0hsfl5y$~0}W*m)6} zE4!zX*0Dal3NFct0zOY1z-5`H?>-kt`z7>e2^e5v<6DW^cosI-uu+MH0&N+ZWdi36 zP%mFyluew;2>^~c+U$ryo-G@SM#F|j2SJ5we^vj~CT>&kg!+dDHw)^Cg~AdlA;Yp& z$b8P&LUuy;=Ypy1`gz^b+C3PhbQn*K6tW!8S&V>TOeGL@7YGrtbT%KG#EbWP<#kV= z*7i0*EVY+>XkU#2%J7}i{y6JXyzbLnqq_5ru-EklWe1M^CKA<`P8r#chQ!@87I4#Q z`erXZ`9X~=1%W6NQVE!Pokw}FPeMY_qIs$Lga@RQZE#O1-jIj3p8UHY`)))*zG6{d ziM4*)q4;){3q!WO9%PFq;qqc@%MNfJ&?*p*clcK$nIP`)8UO0IvwL*<0zw-xWI=0y zfd;?{Ly)}Y;qFIx&9C{5VVG7*7G5Ab+$-mX#F@x=i5W7G1B`CRu!KYfrk(63BTWmN zF_9;mBNO!Ugish6<1fvcV@3wfMQdMunn<~ARAIyX$L^F(9-@(_vkS|vB~zPzYj2Eg z5!~y-TXVT+vAD|sSMD>k9%M3$@jI?SIovTrkqCKp2Rs-4ut<+CFK3X%NX7^j#mh*> z2A~tvwKF5S`eLx*0Tq7w84>)FNl3G z9U~(a+71PVgoF^QW=ZECk5KtxBil33+uj87!N- z88xv$o*EWjpeYI#+vaEpR!}TBM;}mjkW3i}I5#~l?G*mAM!n2*q$FZd@dEiyR!dE+ z*oBO0GYYeNjil#o36V}*oT70L6r{#=ix;LwyHlc^KU31d)(O+^APA$(n_q;5V}?^z zSI0LTe_0v+QyS>sak`?_LCp*F^YbI0g@MO&unE57!q?|4K}b0g8t2p)d;B@JMgV3# z(f0A<^D9@DO-5r=rf*vo9*a)T96M~zT$|N>r0^T4BG?K9=**^u003km(gsCEc^HhQ zAcNr->2M;}_V@M0LJjhST%i>yVbgP`HA`eye_YBkY#uT@qfjxg_SFh61YY|`Fdk$Y zwRr#Z-uTp%CI$zqS=1T^1ExK74(8}C$%;bEsVXm*$9DGTIKzqfT3@7&q6Jy;0R>zWdf=dvk`g#F zllCUBcUp%t4rtkvA1ZJ` z4$OBRJ6CK6{rM>zC4&Ww@}Hx&L4|s1c6K%a`$m5Fh68B(fI|c8$E-lGL4lfRV3pA` zN!O_tm!k3PMB#y}f$@Q{wRK8iQBf1p(hI~Q1uQ*!?W@ga{OT9EB9yd&P29b_wBtFU84vuA#Pd0fG@V!lSNTcJH)` zr!&XuhK5;A1+Oa?fPLpQ_x|&onRaW|87Uc6M)b3;(OVj`Dosf7qn5bz>BiXH)$V)A zvJSlV+G2OFF_@I+ri(0j^f(zcjcL5TO}&@O&F%CwP=>8woCruAd7Iw8uD9KFd&!#D zubEy)xp@1BPS*z)lFap%Lld+LxEFIm6&!zG1wxAcxMgP&{mu;A+pb?7s4+QtNd^5nAf(z_C=$vH+hn! z7aKl>cI`aRARe>UQ0=D^BAowH;2RAbR`6F3+s8?ez2}U`h{k5K+yxE7;TbL~pkpGNveI z^Y=0{Gb7u_)k68t6ps7NAyQc{dkqbdtyT4+QFD%UH#du?i=o)vM1wUyA-xa-{lV5< z8HK74?$JHWnhnNg9zWAcdz^-G>8{Z)H=AzW-O9fZtQIH}!?VrXkW?WO(Sa#*uLZns z?(5pKVT0IRx+T6}`}ME9Kf}r}J~0w~FM_@6yhvzksi{EP)pr90VqRR;-luZQEE)3@ z?WS5zba$MeFP!@#*KeZ%`Jez$>ssGa<8_tWUcY&>w6NcK_lGg5&q7f@e(C9iXOx&1 z{)`wa|1N*H%L#cY?P7b=(QnjGJeL-|o6JR#dF?9P9Sb_0vHgsu6y{}Sb;B6T;TVYC zMV(u2Vs|(80>c10qW-%|`1)j*6~$Q?tFv8*cKH555Y)i%!Id+_{1&n#fqby0?An{U zj6im5z{+qTNPEHtr=VkH#3(Y)sy@m~0LEXD?I@A&p&Hj?{XhylinBz3>QcPk+mI1e zi|8^VKy7&=xJTU+h5CmMC9C&rc9j2PbWB=hoaE?#={=&`#iUg zGRdd?C}DULI6L7j{xoT(u{+Se==;RHvaTKezz=-C%;%?k-`p=ti80L5v3uC7ukKjz z5LhOP9zSUY?MyA6ns8BK919cV2s_uaXLk^9W+ESg+zEWG9bbw88ujULv&}7({UZs5 z`Sp49X~and6b-SKF-aKjcrH#vM^^03&|hRRf@HmQ*m0z2`V1z-0d}sCUg206VmOu8 zd>vD}n#nU|f2b;`8lvsmQIjbFUv~MPz|HRxTC}4R?J3^jS|r4`4jtfE0L&ph8O#s5 z>FOCa`7d$W7-B6Iu2=wD6(Wkr8nR`tsM$+q&(33r7lXycSWpy8m%46( z3%2IU8dkR-&nuM_6slZU^k!KI=Z?|);6q6l{ueH@*Ah_G)p8bv415HEu&!i!xV>_n zc!y1Gg~Ieun>^S(V7R(;MYl9i&RXw^JM=lz4s)AK;tTil_4QQ*C`F11o;J%q`zeZVdW*TbIMzl2 zu6PIR#o|ngB!9{9(mKt7;#%`GddWN7zkmdo5=HEpk9BNpqGdDFQhGYtf_Z>WPeVDkeE*3lr1Zo|o6jW+h~Y$GC{t z`#c`*mA4OupaPzYZe)Wel6;h%>r_1Oui3qYA>ZG}Z-ALZFFLcmqM~%@02bk%!7v*d zlA)6X<9dL``c2%w1fDy|FG@IYXDcrD?4N#5U+kI5rctf$Ql#R9tDmNmbhsc^+l%At z*rpmrD$gJjMN3aNu0s->aW0YLzjE(C->JdWb$Q?J#qC!YQkFC+DBf>Sx?t1$(yJ>4 zOY^Rtd171{Jl6a@$F|cXON*(?e4mE=b9%{}iGnmM@s0duXW!=ZCfY5vfA)&24CVIN zn>#lc5Ny_)uw-?%|LUs3BA(V^3dfa&JoH^7omaloUH8dcs*dMk&;X4Yq&>^d{K@Bj zAl#fon{v7%%6(z**|Td4XHuZEAoeaDw$;3=FOS5{3D8_ePEkSoAUC`_#XT7-+-hoS z5*O#8O1VSc_R|yF;%ThxhIgy;*UN^GE!Mi}^>^s5Yv5za$rnjM!u8hdwMj-Iv)?>Gd=D zeT3}Duj?uK9u<$guP>Xie;r|0*J(e(P* zJ(=iDE*SX?eydBJW%d5osE+T{n)EI$jxHrTD`|q{+}(Za)|;g*rZ><|g`uXiMI3*R zJ;;daVYu4Z8}tb|oj>_*3mw*>0#>L&;5iEM8lX-?WDp4D9=)0Kg`pJ2SEME&JSm)l zK1uQCC|Nq(r#qLqEFQF_xWE@q%S3zN{H4)+@rEV-n|N&TOx1w zJ?G=EHjrtJY|dh4oiSOuXXE{OrnDa@GmHl$u;DfekTrQ-t za=I?xflfJ$tS`fwW)$Ey>J)8_D7+$f4~j znVlLy)@N}Y5=7NUq>Oo3RR%oT5GiFIkOnFFBt{L9D6Cg=)fiU=8UifE8Q6QFq7vy- z*s5b6(16>Yt3vs^-KUw!;_Ya+aY}DP8@NykxlRqONa}kSvSI%WHcC>AVXedi0KiyE z5t=A4{q@~-)N+P7?Qp8UaH`~1R$vkQB2 zzm0C}ocdL7cM762V7_6@Pqbt{^z6KHj=%OacXbpOFYh`eDhocYzDt_Wa4Noxr|FoT z)u_hUWlMc0)kIcRdIr3xB#H!}>GML8{Ox=M%o2nuWi&(NiDStI4c0!qzg`@y6el`8c+6m``=iy!uit_d(sf#} z*ZR>IoyQfrV)W@fmQ!S@jIv^=PL_mYP|-*BRN{p{mGhz^bZ)$$0qGI4Edv5XR7#Pg z(gFhz1e_BnZ%Gcj>c_oH^`jPzazvtb88m{=fWpaK{@H`P%@b?{j)s8a5UTiZsyuVD z{(<3Y;fX;TYzi6+v1!7paO?<|hVA$+Md7Hc4hHgGAAii){@|Q16F2z?gdbk665OvY zr{C7yJH9AcX&JJ2tBik2VKbwB3oH(u*+j zbJVjx?_wQ1o#8BDn>H-#8r!B{ZX?b^FnGF%PcntmBAxq+<_5&5qV z9KZbRrMxu5-1eRhyKqG#e517)B_*yND(YvozX>?pf5OvJwC)^h{)k$-C;o&)4V!lG z)yNXvk-}@a=s8^HgPaZmE<&SNe3sZ?m^G4p>I4CXMzYm%v$FI-xOIWe%GGSNdi83$!L@c`PQ0}hI%@}~ zZ-kDVt-tn7`FauKk@P#-X8Uf=+SYN^#^v$Ib8a=Fu! zHIW-*jt>pY-ZWr&n71~ri0As;ma<*P6|Whvtf4U-U-qic^Av}ZvwIB}SixmHyLNr9 zQxEMta9rtaabQ8vz&ZXKFM~b>fASrkwU%pq_gP9)5Y`L3WMqmyL{_>blm(jv8Q)Yr zqeV?>aQMYa#yQE_1xROnxEVA~Yg57N% zb2_Pw&$Djar52cwuz6C^@9yTtp_|PEmZZs1!NUg?Gpf?%!DdH;3Uilm=C~Ql2#Sc} zHFugWQF4}C3z9m$zp{NOohGhtCBvpoW6oSPR*z!q42vTR0taZrY%R0o{QOG4uPpGq zIsD#d+W90sEv+0D0kjD!1#~yQNS~L*2jQ^h{akDAA1S-MM5edZYK}+UTDwO-_j{n_ zX^!e1j+(88^qV$0#g`3HC|p*UitC6Gx!@^wA#DAe9d-U&(-V|s3tHy`B^q90AuFBkDP5GRf!_eh0YJy%oG{3 zokQ^f;OY$ zw9L{Oo1Ekg3wl(v@TjuVcX%>jd&rYZD-iWQ)zd= z<^I70o+YS+-U(AreCrhWB3kJfBEECTTW-$*7w(l!;L4&;gS!!GJCYpEI!?`ZyQfhAPEwF8H|m$kRJMEn9VZp}Xe( zE&$t)&Ai%}tNvA8CF^DSyWu%y;PgnYxAL+^|&Hr0(fa2A-9=ik1vdSrgf3b}{r?Vy2S z#ub^Ka?R!@VrcY}p$*@_gzpHuS-5-L4W2{Ts@*Zf=wj>Dh;__LM~)nMt6WWSi+OF6 zj@;|jp|jg_e@K*}T7bnwTA$_?h8%cbDj&LWQ%SMJX6sYg{#Gl|RpuQ-nfeiz+IXEf zt9!I|wm;eLj7*@a==rweMxw941>ph_@Gv*Sw;XNBZD!${O;j@bS0rv2T4c^v=ANaQ z?He6c25~`giRZQpA*LQbjuq}5LmY=MFbedV9g|r1X)@-$#mROD&@M1#;(1p#bkdl~ zelZ;(WIaO2C!a3@26aP?+qZ5tKWRv@*6*rg`S$jVGgs7Gin=ZVFoF2?ew*N{)o{nZ zg{%3VKd5iZw#AhNCRaoFf3j@YUnkYQ4;~tr$KYl@%&xb%l!J#=_F^Ig$8R%^-)#&v z3WgAYF(YnBa1UH5U=*}tX6y|Zw83vm74oLaDQq5NqamPl4g-^{F2{K-h}E< z)>Tbq$%Tz<4vXmp!NyncM~Rzrh7k&aEn!p{5zo}(*W=#VN1Qq+tN^%pEwmWq!+4+5 zy;^T$S4)^``*If&CRdp1hbs_|77sje*b*XY@{%E^O5lRuvI z@gAxSsSx8U7z3(7!~fq$aiH9%C}w2$q=R@-bT#etoU_H}n#$+NY;757apQEFjh8?^`B7q+;LBEZTqIhioCd<1|R(oX#OA5(QVo1&$%M`u=51@dRhv$3(!Roh!C zb5=k4eQ+~ya5p*e)u;%?Nw|JW!IGW$ksOt4e?^mlfw%Iw+}I4#ixo8{M>lN-Tg2x3 z2hM3eafbSrDe~LfYgxS{bG8hA@-e#67EmShOn@ZTQ-+Sa+q~K`tJx(EUJ5aRJrKIy zT3J5{-Jt`|nrVgjN^8E9RxGw_^Uz~6Y(03TS?3%%jTkA~bFAYr?ZCqhWsbL@S!uHV zdf#T1nDzE98Cn}c;I##UrW$ode9%8(_;K0L5wbEA5`Uan5h(@#Ely_GsUnS)a1I|A zeO{S+v9MlkTI0C1zCAwd;a4g{Lqn7dxlL3T(AjCgR=a2s{tbAByH=)Pw8c59T zlLdqHee|ck+5&j!bTS@#wOe4qrP6VZAx7c-Iob0NCL^k!Yzv7G?nj~|^W=ZeZ!O`h zf`}Z>T+Zo}C<1*y*(V16bI*;ylZ_)1&$Jj+PrmGEsXb}uh0c*^{QPFy9#}|0R)|&u zP;dDVhnG=KdFI|7GL+B7Zf2MJEZp}t+?OQaYL43TYdT~z0FZ>Gd~oyCa2UeCJV>|d zl*};Ncj8hYd2L*pFTUzLsp;})=ryXG`UUfnusoM>!f8TBUk=F~u6_jv8=Dt+W<+m? zhOWj}Z69~#%a?IIY7`^$+Y1ZtEZhgp0!<8;`ZJZ-1!r4r3N1L8fI{Wi9nDL60`k$o zyZyLoRHWl1cI_(5q7pu!&V7ryr!`7&i_rU;T015PqqmA#zQH#d!QG-Mr`L7Z0_QR+86J#rd|?aV$DO0XuM87 zDH}2Y8xFjZZDwZ48reSRW$?MzFkVB-`}8XCWP|alRYywOic-&KwwWc9n2K*-3gQd- z!DL?(2+1lX9_|@Www%C@QffT+-d!< z7B6*eY`Fsy*2+{~t5Dr_vj{qTVvZp#U8qve&uiRfl97h(Z>07b<3R28`dpfGU*?cy z9ZxNv1n;&-9?G}At)JovT@-1(XtKA8xbQ?+<=+Oz?AoE^-B=|+BWBs!)1{WSf$ut< z5p%nYtaoWyP)ixa5b@~BG2^74$%~8QSxM}P%LQP)Ao%;_yvOU?sjQ2V1T7j4Gg-V+ z(0PW2^Ukw&(;w8{Miz#(t1{l}#o&;_BZasmwzw_C9>7@kAT;ITUCvM1PEqaUrSx#w zF7W8>%8e5_v@&jn@kSv}5oy1*5{Ybk!3=}p=1rS8Iq}2Z1RM>`ka!|;6Ab#{VX`B~ zhtqh|s?*-O-cs3LN+^#Xt;K=4Qy~Z5A=Y}G1K?>=>Awp;uN;7t$O6z2-SdBSWQR5o z{V4tnc=oDSqfURU68buCjHjrC590v-fJ=CJ-oEW|FyQdd`R~)0pIalB6@35Fa+CdQ zybT>6>tWtW+`cgH2WnS3v`-bv<_eU%PfBw8hK6%2|J5M@x4t=9UlAd=?b04r zOR;U_<4{xUWGM_tR-C-R_+xNm<sC~Yr{^Kf|j^I0VWr_yOsA;yrj|9aMu z2KOOe&CpQ|`c>>*OvAi2<4NGNvcQ2`x7MOx)0^Ag@mK5DbDJ;T5rQtmkAS$^NxbnJT@^QET#IXRp?X5L9Cq+m6Dq{dg3;WD2W6b!-V{SUiDyR zS+rjWJ_$Hcf!LZ2RQue!$A?Xha$Z`^TZ<0?`e}#J6s?l>TKyvj&aR5=q*go<@sM2^ z{~b>4C#>)V&0VB%XctX6*%*ae?SqLGOuMWdW6N~sS+;jCTa0P2h%~w+y_pQSu&)4} zMDj02ARb@pPzWBDV7;+kJ$=s6KKK#OihDmk@agXY?me18 z48~<)A*64PdZgOg%on@MFag993%#Gd?Eltsc@%dl%I=AG9m8BryXdkgX5DrR8}>+- z!n0Bv-vhM~=D@TD-49Co9;gk6uN!1vL7zLJwsx&3uL7P1_^P#blG#<`L5?FG$5C=2 zb)awtrjZ6D#V&3Z&$&OIER%qmv;s)`2?gzCX)9xNsNdu+6OLZVz#oGPM?4OQg$MHg zxs1F4^>GUq45*R(PA}jQwrWJr0l;m@vN(~zpG+kWJr0tnLN3W;5Z>2%7DW z{74y{wc3@vLwJ)_;rpROEkXEK$Q{yr?|9SBTv%8*3_v!-&L!vA9Lfcpv18`8udhja zb|Qb-)IfxFy8E1CxQLk?2L89V~Wu z0a!|U2)+fwla7WXpv^-unm3}GZOMcgnh^w4^ApiaJPjVoQPRipKFQmg1)<6(a11ya zt}6?apy+Q1+bVf!k5j7010(ykY6celWt-NWxMv4=2#cVVKxni*GNKWj!Uv-j;3NZe z4-+}t5G&F;-1wqVY}jHPDd_&oKI2L5-N6&}$(V_P2(U|7`2DNE*$;o0zXAMEb`aNs`a(E-BOG!ks)r|K0c38y+)}8 z*AL%p?!GKO&9%u;Y zwE)>YT~_!nWZ2UqWH+(p0O%hNB^}BtD{o?wXgl-6Fh^%24}L3vy#^@JEYA2%tD-I@ zg#hR{Ki=&2!$xKokV^EP^+v--8>!|J99=>5Q^w!vSaR#P%;uTtzw}1w>NBy1@5eJX zW6km*gxoq$i=h6&2rz~*{rC|Xt%w*T{r^h)?s%-*_kAi_N|aI=Z5bJ*A*-QN&(PG z$m|;lXEMxsQyFIcAO>Zl8O0bI9qu0q!W1)Z0fAEL{(w(O7Tomer=O}v-2x}3LOjb@ z%vZo7S-Ns%Y*?>;U7ys+!#soR*}Kjaud)RpnBT&go<= z^p#MDtiT_mA#3;Ql~ya;qU=Q18$zQ%eks>y*Ux25*^oZZ$Ito3KRE>g$G^jz6T})a z+)a_L5g(;)8#hQve4%M!^OrA0=O<1s_ViU`!WBDesVZm)`_#S|Hf-QU;Y2CHo2N!K=6;;M z&nb?idUM0w8}$Oc&92(&}B}FUwcj zX;R4l)-|=ZFt8!KpY~mlFnCAh3^3z19yEByE(q69W63X z_~tN7*u-TD{bQ^mvL$#uAG@ucU97fm86quddTGIe)3q8r9eA2`bBi8DRPsk3 z2t;C?$dSnC=-bc(et8P+B!HeQ8WsnE2Dyf#)B`2B+SX%r*88D^pSJnm`9nAP_qDYR z6`=!me*sTPvf^=V?0y*7&}4b|8(Z1Uq2nF>j?H+e;TE+u){YiukA5~-?Q-E=x_x|Y zMW0aG>iX67iSlE+cWyjt6|yAhfEZab;uEVd$N|{pzpZ}&?a^X|c0UI!5Owo|?ce*i zpQ^%YPsVlWrDDT>cF*UBOCn?l^fy_MmX~1z`mHgai70rFBukh!iKXH6-m%a(-C-u0 zDDSLBSH5B7)yuicoc=t=oSS>-;y;IARdE zkq6OWQ7{Gbfq3Icg!kvJJ$v?CyPgHY&e(EM(Jv3G5)pOEFmBNH?hrb=l?+>R_>`$K zY+7mF6wM5QXBIfG-k4$zqYou4FpG+NY`vA-4y+rs~;FPfIT_u!3# zPo;(ob@mI&M0#NJ4%zUkS<+k)!?Zy?t6fmcDj_W=I<*5IAWCBh{i zO&?v)SRN$)*rdesu40T`j`{KIkf}dZFD?8kEqkk~w#$wLlW?m-S@o){%nNxsc2ew~ z@C#MjP5&J8fO2vX*O7=Mx{jUo6jb!|t-0$f`?)+km&a`g8I~cIac5ns7i{e*vVne( z*6b-u^S{7dc+EJx_kObDG}SY69=-4B(TlBo)2YPLsd(yA%vieH<93d_trMW$yoclx zQwh%F9RUkK6XzX{9zP80w8qlT9BNyLgV9Yz#gc&{akxOHn&@m5k0dNH8I8@r3;X@4EPgGOf>!!mb zh2s-Dc9r+?92vWS=f87zS<8E`_Qcjl`lgI?B#$KRDQN!Y%pJmwuwz6fx=1i(9Qz{0 zf80`MY!4`Ml7b}TzHaFZgY-wI@>llzH^9dv!0bmYhUUm2@hM)m|@CsUn8usgB|sF_g` zBYG~;^ph`#_<{yx4S{P@?Af#*EZxfCMwJb>@F@FOiNS>nA5V3#zUWru4$A_WZ9n>& z0^wnU^!~DuVQL+Yo*+fn5Il82d0;IUCLcC;b^PW2w)Et9f`gx*xxs zw@$gwZ)PW!x*Ael%HxXWxnJFRAK2`93c6rhW`Q{}WqQ@ZoC_OVe#+UON%F3;NK>~^ zQ@P-ppY7&wlZ0v!v{V#r<#n1|2;|>}eev>0?8}MOP+Q{M!Wb%JyE&=*@Dx@ zlYM1M_1QlSNlm&OxS+i(JaD+=s@9)%IOS;v|E6* zUQm?b1=^vZnwnzu>Vu!^1Gk^)>K6Yt77wh+?v&Q}CvrJjITP8X9a)S=&8&h{3X@)V z-OZj6W*@ll^tW?cP&QNMTMth}VD>=GtVN0i9st9uhfaKfsdyx4Q%wur7=7Bk=ef&# zERAs-hP}4^J3CenZ`-+XLhHScPxnS|2NCQ=eKcRm!z;6RcubFq+dl!PhHP#@S_B%3 zCD?=|_zpCt0wgy#N}@X$ZhPS%CF0ZD^w^W<>Vpp}qGaqAX&z&pKhLnuHf-%kr|ePMoFYG;0&F6`|@~aU{e8K`wqNfF5T+O zBE0NjwK6aX8P`6^(8hyh^2*7CkFo!08R8{4JnI+wkZR6XcRbYX^Qzq*HjX+1jqy|8 zw|}n++dOf1o_HjjCi<$>6?;KZ@~36=at@wRF`_yI(U%YyiaS?YL3-~;rV*B3*R4?G zYZr);`5#nlX-JXehnmHnp@{|C%SV@2-P1GhdEt~Gvw5C69HLagGTdF%+D)MvKuGMN z7n#ghql)PGQNXc<3u>VfGy(CtpCaG90qx^1p_zTTVLsh^1M1`_^L*J-DC{@`*wDSx+*m-g-Aa{ z#T6=i-|+oiUDW2I4(l={Q!Ceod>-7UdT#`vlo? zXU_QQ#{OJIE~mOMslmz|)f145qat=(1&ElOwlNsYzTs=yHd;%+rJNQ`cIF zGruWR-Wl2O({fPy3-N#MG2|*hp+k4@9;mU*JF=dN$5jj{sTkV?Gj6Zf?yV02vXS4kW?Rm3J%mhD^JBXy*5j!{`!-aRz?b^L^mywh~(EWjC-C#CVyPfZV-KW9|3Hk4b*NTUy0bJMD z!08%Iyhq8I-0W~2yrfEUuC}br!DZT7*}tyr6l_|#^#kv2IU*r6Eg4_Xt6$^$?qn*n zYSj(AU*;jI9jCX%U)h5`5h^;OkuU>g8XscWBN$mgagsUQEt?$S;ElX~f%K6q(5iJ5jLG)fAjwCNIF54GClQ;#> z4xT6TiO!Wc-^F(!DAOQmkax+sYNK!MYf$EqeSZWqcNqxOc!pvn4cjjslH@x${n!e> zz-`4(>=ho3)+e6H7upl;k|@}Ry8(BfR_j`kHV+v_YF$sP*}!3=~{j z(S17rO%I@&0!BltvMmu7Cj2HWNER0@Szab-*e1DCftBazR^Rn#ZQ~K5#)7vP_ixxU zI!TYi;Ovm;WsdpxY(WoFirf5k)1?<9T_-5+!GPS4KW}Nn$=n$r5d@>ay#v_aHeKbe z*~4n<<7WS6FhW=SOp3e`y5=P~ZT;H&;b1h_51~mJz~ykBlNYMv-QwksmG1!JO~5bG z7ye!r(mZC^Mm<10`|x0GLDj$_5Id?XI3fdf-|Mtonu^AWy%$*gbHFI+5AR=DULbT>5XFAc#xKCI1rZ6^*rGOLCQ zjHZvrE?^%tlN`89jH-WAu#*Jv=c$^0%kwGNhbo+L7&(1IZ0t2!d;8r1PGEr3Q8?)Y;%= z;jyKL<%lt^^GaR7ohG4akL{a+b&h4Rp1IZ$Sg_W;+x`-vB2-2PH8PSa3HvkM)KItR zd$_Uen{S0S@DWG1ObA8^rVPKR$jBb3)Fo|NcH#g=-xBvT7x&`}ScYtI`jAW*r`DBt zHdnwbYa4Kh126@FLr5{BVYza$>y%T&4_8VEHuK(?Q|lWb#QpIp6o zF@mLm0q#Q=P2Zd`DFfmNVx<9HuVV%ZtF2$vTBgCUK#>3xP`kl(%l81jjwTB9gcs2- zYIoWBksAXB$8iysJG%%AO!m!oPxR~xFjf@ zB_It{`1xt+=*U;sFHbk2y_6Og5)`}{|^3F1d)k$CuKJ**nc(H$v>6 zvq|d&4W>0r_tT4@{e&2~ zc5QWiW&OWhCcWUg?sacf&zt^fO2b zH(Z&Ptfvj(7@3kI$hg<;Rpv*TL*rRNsf0?LCcn1bH9Mi0|HkqhG0lazYwVoX7dw_D zo++A=ugWU)Ojk#3*Df-sA^St*L^#^p-!vC~8-W&ydLQUwRQ=w0yYaS)j1wgRFj2t? zk^@L58u>?`P(h9O2qOX>R4+>&J@S%?8Xvy$Tvdhn4zBpMdP@Y3tQeav}^es ztbULMgoX6S_(`#-Vg~_>?(QqDnnr;_0JNQXqjPReOKwrY`kyajvkaz)Rtq5|F=w}67q71z6}Zssl%#rP{@`2_m@oYJNr9|qZbINc1I`8-l(b{Uv5_8w-z z99=^^Ijj_NFaOxu+L~gbJPLc4OW2&1G3tW9&pLVR!_=4%Ct`{8RjQO8lHS=D13f;j z_A)x_)RVNG_^6css+!z*EgJ2c`9A=b*fZDb_iQlD0}*22QQ%^-?OaIGbjA1`huT+DJtqqQ&^wbMM*sGRxSv_`( zH6;Z1*hDe@(5?7Ir96)L^-o*IckaW3vB0SxCgJXG=|8mY&0@bHk`Aw#%e0tCsm^?m z4jepY!U_0Q;5&Ix0v)mQ)+jSh+yhcDNG#{n&8BVrY`S;toA|@ZwkJ)~Ow&x9M+0x3 zN*VNAK9oGJ2s~YA1>yGz(cA#GS*Ln8AWd1IWyb|mOd~K)t}k4#wl5L+P|!{{ooQk~ z4B*>yAi?l_t@WfS92}8o!Ad_oCYtO(%PH7~LpT7a0qiYi5h6XZ9!IV9YTTVSIwdp#S>WuT(e4sE zuG)wad%LbI73xSDm3!jHRUYS|RCor+=vdmNS=PdW9=GpQwp3N9Lub-S%G|$Ova_GH7 z!y6!Rjc9yiMiSQpGv0sFye8EB`4N}uyndv}iSWIl8~pwHmf;4aA(KQj$VEb44Bs0= zJ3huGv}ocs^G7RGhZJsB;8RzQ`SC8#QgO~9xyhD4_%t6)7mhLP{*q_Q@w$#NA~_td z^87S0(C0e(?s_d;Ki09tr(6C?ysumDNWjU)RVC67I*n--8iZTfX!w2Gd>O7s=+w)`(eLY-$FYMLZa)bv`PG>1OB(SzAt6?{ebvJ|S;o#h;@Qhncye7s&O#OL zL5sH&h{HRjB)5-%}S3KK&V)o6EoKOK{>jx*qK#*xasmF4enSCR6xy z()3Y<{h3a&GLMgGpRzKuc864vcn*}4{(cEaysh0)yv%!8{Xk_mBevis%URwxw@Eea zZ*1}_b2XoW^Lcc1agfghWj@$8>~C&Yn$CW57maKjM}k?%&wr-6y&Co}H71H91N#Uc zh6@!0_aDQr2#Dx?XkKVou`=H-wPKI>gRFF<=2(PMkkWq_lq=@kak17x1lYEqrjDH! zHiRiG9^mM~30g$}^^#sjI0o`>lDmkmKOsSAq((z*i-HusOKWoF*Yd)*6XxwV;1bHkeW^EhH zc-hHp5eI#12w2#4HCRw!K%%%k^vgiQQmcCP3vYjsAIYQ*;$GMjN%CkQ}ja za8L`6ndTdbQlt_iFZEJ^FcL6RZsY&kNc&oc67? z2DLz$ZTIWBG0y;$G4M|ZCII$F54rEt-zYy^z|iatOt`JuxCo(m6B151gcxEvBhlhe zQ0DMQ{>QP6X_MGRLt(WTx=6tAVZ`s&8)mzxL zAqM?%A||2dM%Wv%Lts7zvQ^Hq}=aT+W7@1?f0ZO`&@A2l82gKZ;>k z1u41k0obQwHyez%7S#OaAjZ0djx5HaU_)uDHV;Hfd<`MCeydGETx}5ndjs8|3FyBl z;V@0ZdcAi2dhz_=dL$P-?Vk;_{ww*jCEa_|tuu+8fmLH*ztPSB{$3n57_JQ&rOeR1-sk;0%W>0@+b=T6d<+@dE0Otc7=yTyna4@VL{p_=YA14#_32B^`v_QqQ4JgNzgn{21QU9l&?|~EuRLsMJ$2i>|q#34s_Mk zFw27|&uPhX0tMuqda$2u(9Svu3-ILT0xi9G>4~6R;WV~*pCN19%5q!ixQelOf@GfsIlPoo<}4rG7R&8n#Eb54 z63W1~vd}UVwUBE@LBE6~-xL4U+!gGszvHgy598!o%+Zv9va9l&4{{FGds<0R2c8c$ zd04*B@P`e0GDP68t19+f=9uR4t&>bG;2xpzM9*JT;0wxj5HMnqY(WFkibY9nc))qM zCu%aIFF%&9V42=-SSR7B72KXVQ$F9P$6os+I#NY7pWiw9%Q>#z|FGII;`|?=L-K)i zvu4BawZ@cdkYfea$YDM(Otg;~aI2cuj${l}s?b18RD*N7Y))Y1Y8;uHdop?U^t>)? zPy`}b^n72!1i}63mV`ME(UnFXtvhrMD$b($mp22NgwBh4=irYK-2lupG*Wv?Y$_%fD31Nl`diQG|ZUR=xVH*59 zYTHm$DDhmTz4vBEtu`jjZ2~L^>m+ufQ-BDad!BP&TY>SfvhLQG-bRs6Mkhm$2iP+G z&8ey}q#$4==sy`Cn?sF&rM&O6T-4rT z=x{z$0`ESeN*l{Y&udz;cbe<3X2Df(3__?_?#FlT2xAhComgFFrC;f?0{834cr8Ph1ELfmS zvo^mhH!tARW1pQqk$qrjrt#?hFq4O3>7m%3lp?8xDwM!>^vR}ssF^%aGjW^4P@^VZ z5NHSS-FJf9#iM1D3EQ+66Zt8r1`(PPI&H3h6rW!E4Nb9 z?I44I8r5_DW#>;U;?QARtQ9}h)5(1X8ypuIzcQxQjVCKVzuld?>+4sq>Z5r_pFm@1 zlZnC<*$0>kRjB&$AE0#bvfHK0$MCjmd9p&gYRmIOCH3Nk3vq`$`}>NT6FQt%&YR&S zG4aJO*RaT>&XCKTf~DGr&VZ#X8oU2-0P}om;T9=24#0h)DBg*{XcMO|8dr2bs@BS0 z&+K!7NUXE$z({7+bY1=KzP*h_smaq%ejhVC0XU7EM9{DVJC{+Il4p!Tee27%==oK2 ze)(tJjI%DY#P;(_E_{$${9_+Z8C-HRkxF$yG{zl3;)PeJx7|%g6)tMR1e>5g!3!JB zxeRM-wN)kmL)|)c^zAQ^I9tEzoshkx@Im!Y!{3X`14dez}m_!U1{dvRna zzYFS?&0C#}AN2H`q~wSAtO#_ZG1>d>i*);6^-K2NIVz&L=MG)jU~rL|{8287TBfz~ zFyy=m*Rh*ulWaCc-~FZAeMyfF5V^Ba#yhqL+YkQy5>KD@@y&lAQvENlSf`-1vke_lG^R#*~Vna_Gp{^XDeWRvG1ESJ`$sr7t`B^Le>!(Hj{X?WC$3x zcq_Re0W%1L>v?ggV&k8W{M%34E~^;(Q1`D|gs;UU%7H!*=stZQ$ely*+Dyp`$IA|c zwBFYi8Eh|J7&-VbQ7k^j%ouO8v00zKYwtBsU{|xUbyD-SJ-qghA;2uXp=auQ@f2Z? z90C006ljsi8y<*3hnmKPqHGsU0|1j*3iJ`fj>;&Mr(aGgTf{ZaHhy+detNXx47-E9 zmrk>F%rpGFNV2oM$KXi$@b8a=Odt%^6FC>DD~@Q^1VTq-z2;}pD)D1k=U81(vB7_D z_tFxpEMX@2GUI~DF@Dh<&JSebH|4NSiTnBD*0*Db-0Fzj%rpgk5{b;gEzBh|qa!{w zErr-7sFeI5fn5V;KQgG(a~RT-$7$I-gkt^eN-m$C&0lAKb{cDVjY}HV^hT&0P|MJy z1Q(2I5h=o&u~K%;&TE~)E4ipWs15mCF1?Ix;w2>lm;dzB1vnxGb9_?9BPsDiC+U3v zXa)LNMx8K}wsCYYHoY3q)~n9}KzlRU={sge9L3S?x#Yi2RmhCG7@lKqxlP8a@PA(( zc?r_x0gol%hk3 TJSR8_1FSaDY)owZ`beR~y2A;?aM{G+uTJ4VS^rwfghjwPZV^;p#oCWh< zJbE{t?5!=Qgil4tzJh{(LIOZFEGbpBW%zd<0ChRo!kR+wLg+6k3*dgJ>l39A|^iA$yRpD8157Pci-MU^7hL=eGyCVR4)YJ*tnX}4QxdM zd5s)ggfsd}Wf9CnnH0-ic*4ql(~=z?!5IV9=T4-@M?iLg_;VfB?zZ#Fw&Toxy!FbD z?UHNa{lDQzlGCZ!x*!2BL*ihJ^8FF2s`h$_Yq^B=k@-Zx3BDh7Uq1@sDwOna zR6m%!^tINUSn1TiV$g55X9Ubk=Z}_W?bx;FiA)N=&lf8^;iR)8PNa>%;-}UUvQ6d_ z=DLIZo1c6@j7XwXZK8iCb?Va|riOI6V}ZTJ_wTltGefjC%=h5XR6ado-jK>jc6^X#4UheAk3|mz1_07 zaeQlK#j0*Qn?RFlt8;NDwz}!c*xwgRCq_6LQ~AV80-GlXC+F4WUdPOFSnce<=7>^8 zf^s0!MTWi_f*b_eMhzr>**60-(9ik*3hvNL>2+IgAd6S zEUH$(_srOC87|kFOQcxiGpwA*y1FlP?AH}I-Sva@cq<^_sGS%?HFJF5w`F+P> zs|!(8l+f`NM%tyNz3~DY7L00J$hO%uog~U=DFW3N;yxCPWtuzx=DIh@}B2W zg-IUCwU$J{!w|dccoP1AmN3A>+)j*E#%w5reStZ1@JgNoOlSiHhj<$()J^TghKkmz zjN8~7t&cu8%7Wp?@O8^cU5BvXtYz)HBXPf!evrlq-pVMH4S#?1Qhc;F)znn=kBu~r zRbYM+I|pxAh1opol5sh4O|X6We<|@DGY4#vmCz!Bo`3DejVN@5=p~|J_2)cgF4gO98Rb8@(UQ zz@B*55tWEStPPDLxZWX}>p`SksJ}N8`2%bnk}uRIDnAF*!jx(EhRxr)c+KOU$%%hi zt;-&F@N^P8}uH@I}%*68?}kJ=$9oppIYt!y1%tUzz9+l$ zfERo2f1v+l{Qe%CD0Y_9^90M-p32d6K0+%_AcvHCF*YiT*VjTV$v=*uC|h229-y_& z3L~s(BoC&A4c8Jk%&}_3#LFa0|Jl(a%Hgd#0sGGUXS(%4Rv~GD&*=1X*XzdeW>=}l zilyHKZd;LVe*zOmav@mONw<4kss)M#R}AtN;Yb)Z-UV1uh1Up!<8`~M*6D;q$@IN25u$hg&gmz>QI-D(yFf0&NW`_ZmQaBl%uY3cr7i3sWvnoTFF2TxxaXqI{WdF{biM*g#$S-`V zUNpSxGV7X<%idLd->#W`>JShqS^=JE8#qg0*eIkN#I#LfiyZy=1i75|N<=4P?zwYc z5#s^rR>A=>vX;Rlgv$_41@b?Bla?YavHMYh(wAUQSu^TLYAYD!x*FDqCH1sbO!qSC z?bX&1H$ryc0$nq4@*qp=M`NHLrp-3s)CKTkn6{GgV)~-F7?DezNZ_%xsV4-1!IEz- zgq8RrO?;8pv!3-cbsuaZa=TOa^0bSB94P?BLmoNnACP+V$$KHyefZvK!lULSG3^CtqN52EiT#~j-DT|Ts zOtS`2^;6o}r+EoR!QUtO6wldTYclBd5no(OJ2Tub9{Y>FI$r~r$lwMBrJCUx zzr1$JhtOAsE9Bn6_}mXZtG!sXgvtn<8Q4p~3+*L`59cSRg!$qXrEz!|=^bMn;1X5? zw;0oBh{lR`1n=s@Q?M_qbGGMwQqmCNbX5qA-*>)Qp4LjEZ-nUf?sGmZ!r^N)n? z(-Gf}yLSN&OYt6DGn#5g&! zO+lxFfbi;N=OhHb6dxGNXIbg$!e#JIisOj(QYG94-r*W3dh- ziH63@qt&4TxNvLOP9r_QFry-X?C-E>Ndk`){Z0I#P@2=?8)-9HeiV`%W zL|#QIbxR;0fO63d;)p6B<`Bdbz`bDzr723ji~FC`BT0?e_Cl#%3C=9Uf&c{$);S)? zsww}ffSpQm1mkhFqE~oF8<)eu&cpNfzipHbN=pxslJ%)0n*gMVhkp(B@?OqHX-8^n zK(K3M1F&Lt-a?j}77mthFQ~G;=*kgnFW~yix;t~&YE_8ll>C|9#MwYq(4QwMtL+_9z?jfSCSu?rx~DIJ0;s{93I(zvgliaeqE>aN zUl{szlou6`53XnO3!D3ZaZ@ihAMc#J^ojpdu|qHlafrEFxvVz^=ZZDa(8he6Dr8rK zF3D2xo3Z{iAQF1-&^!Z&w~3unFN=9;kWqb_HPLs_6(G(%&JJP{e$D9jEQFcgRR=LF zVFy1rPQp?8b<68J{xY^JU?kB7u4_A%ge;RU6H-($#r8eD5OOL0UU!0C$`N#nY!}?^HC2_*cLgwtx4k2{*sH{wD^*Q(nh%pw(vXv{bCB!$o4Y`t$ERr*1 z*KK$*(I_@(3>Vt0UMN8Vn5#4LC60M-Zpd?+kk!)I4yr5>Z!1Y@JMd{ULSeC|c|fIs zA4tD+h|#!9Y?N1+3ISMzAd%S%7e2K8h?fzmxev##8)*P=6EqGC1%3p`<^!FzcaU#a z;wfop-Bva+QUL9t)O8HXS;{F|TpYOP&AU?lpmh~Cj1u6H$TvvT_-H@kX#a%=1;c_$ z5aOYb-UZA|epEv%DqIqN2vpA?Bmih+CmT5+OESwD2t;N(h_PzD3&+&$rQmSmn_8|b z2*AaT+T>V8)W5;i$;WMSHa2=%Ye_vexECbC6vanOXTm1nwx7UmN^P*CGI&J{^W)CY z#|gp13mJu4hc2EiUVm@egs!P>GVvEIlWWs}z}Su+#C%*{NEVVKNM}RTORm@R@VAhu z#7#H@hNtdR%hxz>R52OqDiTJ#7^~AWQ)K71VI9NIDhv88%uCc!+iV5bA^1Cn0V5PC zKsa2YhALx;n~lYJ10c@G%J3WfL>I<}0?%EPnpr{+~d&ypch|cI}AnemwPCm0R3&l-#S)MyiEy9TEg{ z{1p|X$fjAb#4 zv>}Z+V2jSf)t&DVO<&GIPD~Rs9DVY!tsZFJ-vXaln4p1yDPuld84rXUN>F$2-1%;` zk{s}11Yctk2G6vkTw!D;oseZVqHiGeZ2fsI48;+#M6lh{JKqpL{8lCCUP^lIM!aNu zNZ~Tq!g0YeGW z@>APxl{~CB$Z(K~nPu);Yq<`e3e7IVJq3E*xSTUjxCOuqz%sfDBOTiQMB)EUTBHAk z^E>DMnVv&J>TqRfGjov<>d;W4>{VNLZ{iY2YofZGxdHV>5kyX51jf)dHGHD$2!I$Gu_jO>NOodQ_FrE9=n4_W0HrunwUR zUI#90GXxmyD>aPHw%*l-Co@Q?Zcx~;^q?N05{gbenlgag%tjy-Apzwgs0?gj@RK1M z1XSadfJb4mM&pdJ8&L#H)x5FJm1My-VPbzcEGW@C@YwUU9H1XVXzdBmSUKYRlNk{!4M;gjLT`D6lifmr5O4}2D35?go{{k!4nPPRe3IAKw!hk zb0`ej-1{HFwqFasNR~j;=ZP0Hj^iP~nDbOpMvte~vC^50$q9xbWsHvKK%0@eq9W0~S^+$d{W>wmq?Kn-@6zq`j+y`}lC~)@@4k=7KgSBssf22@M5Z@oi^2O9t zh2O{GJg4>*ORPEo6nsQig8+kYBwV2EU&0za)SE^K6u2^#kXTYBLGG!L$w7O7I znzm^vLTBC)m}KE91ROrFGFg^acd~ZynPJ@}fWHI77XlY(zza&4-`MZ136 zlSw@S$~z^1_cfy2nXLk)$aCX@uI>NCU%IX(w<#rL{`~)j^q#STo_DdkV)d`F;Ahu1 LHKn*Mh8O-HZ*G@X literal 0 HcmV?d00001 diff --git a/tamingllms/_build/html/_sources/notebooks/evals.ipynb b/tamingllms/_build/html/_sources/notebooks/evals.ipynb index 59d3ec7..0a30d6a 100644 --- a/tamingllms/_build/html/_sources/notebooks/evals.ipynb +++ b/tamingllms/_build/html/_sources/notebooks/evals.ipynb @@ -771,6 +771,244 @@ "\n", "#### Model-Based Evaluation\n", "\n", + "Traditional metrics like BLEU or ROUGE often fall short in capturing the nuanced, contextual, and creative outputs of LLMs. As an alternative we can consider a \"Model-based evaluation\" approach, also known as **LLM-as-a-Judge**. This is an approach that leverages language models themselves to assess the quality of outputs from other language models. This method involves using a model (often a more capable one) to act as an automated judge, evaluating aspects like accuracy, coherence, and relevance of generated content. Unlike traditional metrics that rely on exact matching or statistical measures, model-based evaluation can capture nuanced aspects of language and provide more contextual assessment. \n", + "\n", + "An LLM-as-a-Judge approach involves similar steps to the general evaluation design we have discussed:\n", + "1. **Define Evaluation Criteria**: Establish clear benchmarks, such as relevance, coherence, accuracy, and fluency.\n", + "2. **Prepare Prompts**: Craft effective prompts to guide the LLM in evaluating content against the criteria.\n", + "3. **Run Evaluations**: Use the judge model to score outputs. Consider using a large and/or more capable model as a judge to provide more nuanced assessments.\n", + "4. **Aggregate and Analyze Results**: Interpret scores to refine applications.\n", + "\n", + "The key difference compared to a metrics-based approach is that an LLM-as-a-Judge approach allows for more nuanced assessments by considering criteria defined in natural language. This enables evaluation of human-centric aspects like creativity, logical flow, and contextual appropriateness that are difficult to capture with traditional metrics. The judge model can understand and assess complex evaluation criteria expressed in plain language, similar to how a human evaluator would interpret and apply assessment guidelines. Additionally, LLM-as-a-Judge approaches has an added step of prompt engineering to define the evaluation criteria and prompts." + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "from pydantic import BaseModel\n", + "from typing import List, Dict\n", + "\n", + "class JudgeEvaluation(BaseModel):\n", + " expertise: int\n", + " coherence: int\n", + " fluency: int\n", + " similarity: int\n", + "def evaluate_with_llm(judge_model: str, candidate_summary: str, reference_summary: str) -> Dict[str, float]:\n", + " \"\"\"\n", + " Use an LLM to evaluate a candidate summary against a reference summary.\n", + " \n", + " Args:\n", + " judge_model (str): Name of the model to use as the judge.\n", + " candidate_summary (str): Generated summary to evaluate.\n", + " reference_summary (str): Ground truth or benchmark summary.\n", + " \n", + " Returns:\n", + " dict: Dictionary containing evaluation scores for specified criteria.\n", + " \"\"\"\n", + " prompt = f\"\"\"\n", + " ROLE: You are an expert evaluator of SEC Filing summaries. Evaluate the following candidate summary against the reference summary on a scale of 1 to 10 for the following criteria:\n", + " - Expertise: Does the summary look like it was written by an expert analyst?\n", + " - Coherence: Is the candidate summary logically organized and easy to understand?\n", + " - Fluency: Is the language of the candidate summary clear and grammatically correct?\n", + " - Similarity: How similar is the candidate summary compared to the reference summary?\n", + "\n", + " Reference Summary:\n", + " \"{reference_summary}\"\n", + "\n", + " Candidate Summary:\n", + " \"{candidate_summary}\"\n", + "\n", + " Provide scores in this format:\n", + " Expertise: X, Coherence: Y, Fluency: Z, Similarity: W\n", + " \"\"\"\n", + " completion = client.beta.chat.completions.parse(\n", + " model=judge_model,\n", + " messages=[{\"role\": \"system\", \"content\": prompt}],\n", + " response_format=JudgeEvaluation\n", + " )\n", + " return completion.choices[0].message.parsed\n" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def evaluate_summary_models(judge_model: str, benchmark_model: str, test_models: List[str], input_text: str):\n", + " \"\"\"\n", + " Evaluate summaries generated by multiple models using an LLM-as-a-Judge approach.\n", + " \n", + " Args:\n", + " judge_model (str): Name of the model to use as the judge.\n", + " benchmark_model (str): Name of the benchmark model.\n", + " test_models (list): List of model names to test.\n", + " input_text (str): Input text for summarization.\n", + " \n", + " Returns:\n", + " tuple: Evaluation results, model summaries, benchmark summary.\n", + " \"\"\"\n", + " benchmark_summary = generate_summary(benchmark_model, input_text)\n", + " model_summaries = [generate_summary(model, input_text) for model in test_models]\n", + "\n", + " evaluation_results = [\n", + " evaluate_with_llm(judge_model, summary, benchmark_summary)\n", + " for summary in model_summaries\n", + " ]\n", + "\n", + " return evaluation_results, model_summaries, benchmark_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Example Usage\n", + "model_benchmark = \"gpt-4o\"\n", + "models_test = [\"gpt-4o-mini\", \"gpt-4-turbo\", \"gpt-3.5-turbo\"]\n", + "judge_model = \"gpt-4o\"\n", + "\n", + "evals, model_summaries, benchmark_summary = evaluate_summary_models(\n", + " judge_model, model_benchmark, models_test, sec_filing\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Apple Inc.'s annual report for the fiscal year ending September 28, 2024, details its business operations, financial condition, and product lines, including iPhones, Macs, iPads, and wearables, and incorporates forward-looking statements regarding its future performance.\"" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "benchmark_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Apple Inc. filed its annual Form 10-K report for the fiscal year ended September 28, 2024, detailing its business operations, product lines, and financial performance.',\n", + " \"This Form 10-K filing by Apple Inc. for the fiscal year ended September 28, 2024, is an annual report detailing the company's financial performance, including registered securities, compliance with SEC reporting standards, and contains sections on business operations, risk factors, financial data, and management analysis.\",\n", + " 'Apple Inc., a California-based technology company, reported an aggregate market value of approximately $2.6 trillion held by non-affiliates, with 15.1 billion shares of common stock outstanding as of October 18, 2024.']" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[JudgeEvaluation(expertise=7, coherence=8, fluency=8, similarity=7),\n", + " JudgeEvaluation(expertise=7, coherence=7, fluency=8, similarity=5),\n", + " JudgeEvaluation(expertise=4, coherence=5, fluency=7, similarity=2)]" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "evals" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_1652501/1775618912.py:14: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + " plot.show()\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Convert evaluation objects to dictionaries\n", + "evals_list = [\n", + " {\n", + " \"expertise\": eval.expertise,\n", + " \"coherence\": eval.coherence, \n", + " \"fluency\": eval.fluency,\n", + " \"similarity\": eval.similarity\n", + " }\n", + " for eval in evals\n", + "]\n", + "\n", + "# Visualize results\n", + "plot = visualize_prompt_comparison(evals_list, models_test)\n", + "plot.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Limitations\n", + "1. Potential for the evaluator model to share biases with the model being evaluated\n", + "2. Difficulty in validating the evaluation model's own judgment\n", + "3. Computational overhead of running additional model inference\n", + "\n", + "- **Bias and Limitations of LLMs**: If the judge model has biases, these might affect evaluations.\n", + "- **Interpretability**: LLMs may not provide clear rationales for their scores.\n", + "- **Dependency on Prompt Quality**: Results heavily depend on well-crafted prompts.\n", + "\n", + "The LLM-as-a-Judge strategy offers a scalable, nuanced, and efficient solution to evaluate LLM-based applications. While it does not entirely replace human judgment, it significantly augments evaluation workflows, especially in scenarios requiring consistency and scalability. Future improvements could include integrating human oversight and refining LLMs for domain-specific evaluation tasks.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", "#### Human-Based Evaluation\n", "\n", "Human assessors can judge aspects like fluency, coherence, and factual accuracy, providing a more comprehensive evaluation. However, human evaluation can be subjective and resource-intensive.\n" diff --git a/tamingllms/_build/html/notebooks/evals.html b/tamingllms/_build/html/notebooks/evals.html index 17f2b46..0d82fce 100644 --- a/tamingllms/_build/html/notebooks/evals.html +++ b/tamingllms/_build/html/notebooks/evals.html @@ -914,6 +914,184 @@

4.5.2. Evaluators

4.5.2.1. Model-Based Evaluation

+

Traditional metrics like BLEU or ROUGE often fall short in capturing the nuanced, contextual, and creative outputs of LLMs. As an alternative we can consider a “Model-based evaluation” approach, also known as LLM-as-a-Judge. This is an approach that leverages language models themselves to assess the quality of outputs from other language models. This method involves using a model (often a more capable one) to act as an automated judge, evaluating aspects like accuracy, coherence, and relevance of generated content. Unlike traditional metrics that rely on exact matching or statistical measures, model-based evaluation can capture nuanced aspects of language and provide more contextual assessment.

+

An LLM-as-a-Judge approach involves similar steps to the general evaluation design we have discussed:

+
    +
  1. Define Evaluation Criteria: Establish clear benchmarks, such as relevance, coherence, accuracy, and fluency.

  2. +
  3. Prepare Prompts: Craft effective prompts to guide the LLM in evaluating content against the criteria.

  4. +
  5. Run Evaluations: Use the judge model to score outputs. Consider using a large and/or more capable model as a judge to provide more nuanced assessments.

  6. +
  7. Aggregate and Analyze Results: Interpret scores to refine applications.

  8. +
+

The key difference compared to a metrics-based approach is that an LLM-as-a-Judge approach allows for more nuanced assessments by considering criteria defined in natural language. This enables evaluation of human-centric aspects like creativity, logical flow, and contextual appropriateness that are difficult to capture with traditional metrics. The judge model can understand and assess complex evaluation criteria expressed in plain language, similar to how a human evaluator would interpret and apply assessment guidelines. Additionally, LLM-as-a-Judge approaches has an added step of prompt engineering to define the evaluation criteria and prompts.

+
+
+
from pydantic import BaseModel
+from typing import List, Dict
+
+class JudgeEvaluation(BaseModel):
+    expertise: int
+    coherence: int
+    fluency: int
+    similarity: int
+def evaluate_with_llm(judge_model: str, candidate_summary: str, reference_summary: str) -> Dict[str, float]:
+    """
+    Use an LLM to evaluate a candidate summary against a reference summary.
+    
+    Args:
+        judge_model (str): Name of the model to use as the judge.
+        candidate_summary (str): Generated summary to evaluate.
+        reference_summary (str): Ground truth or benchmark summary.
+    
+    Returns:
+        dict: Dictionary containing evaluation scores for specified criteria.
+    """
+    prompt = f"""
+    ROLE: You are an expert evaluator of SEC Filing summaries. Evaluate the following candidate summary against the reference summary on a scale of 1 to 10 for the following criteria:
+    - Expertise: Does the summary look like it was written by an expert analyst?
+    - Coherence: Is the candidate summary logically organized and easy to understand?
+    - Fluency: Is the language of the candidate summary clear and grammatically correct?
+    - Similarity: How similar is the candidate summary compared to the reference summary?
+
+    Reference Summary:
+    "{reference_summary}"
+
+    Candidate Summary:
+    "{candidate_summary}"
+
+    Provide scores in this format:
+    Expertise: X, Coherence: Y, Fluency: Z, Similarity: W
+    """
+    completion = client.beta.chat.completions.parse(
+        model=judge_model,
+        messages=[{"role": "system", "content": prompt}],
+        response_format=JudgeEvaluation
+    )
+    return completion.choices[0].message.parsed
+
+
+
+
+
+
+
def evaluate_summary_models(judge_model: str, benchmark_model: str, test_models: List[str], input_text: str):
+    """
+    Evaluate summaries generated by multiple models using an LLM-as-a-Judge approach.
+    
+    Args:
+        judge_model (str): Name of the model to use as the judge.
+        benchmark_model (str): Name of the benchmark model.
+        test_models (list): List of model names to test.
+        input_text (str): Input text for summarization.
+    
+    Returns:
+        tuple: Evaluation results, model summaries, benchmark summary.
+    """
+    benchmark_summary = generate_summary(benchmark_model, input_text)
+    model_summaries = [generate_summary(model, input_text) for model in test_models]
+
+    evaluation_results = [
+        evaluate_with_llm(judge_model, summary, benchmark_summary)
+        for summary in model_summaries
+    ]
+
+    return evaluation_results, model_summaries, benchmark_summary
+
+
+
+
+
+
+
# Example Usage
+model_benchmark = "gpt-4o"
+models_test = ["gpt-4o-mini", "gpt-4-turbo", "gpt-3.5-turbo"]
+judge_model = "gpt-4o"
+
+evals, model_summaries, benchmark_summary = evaluate_summary_models(
+    judge_model, model_benchmark, models_test, sec_filing
+)
+
+
+
+
+
+
+
benchmark_summary
+
+
+
+
+
"Apple Inc.'s annual report for the fiscal year ending September 28, 2024, details its business operations, financial condition, and product lines, including iPhones, Macs, iPads, and wearables, and incorporates forward-looking statements regarding its future performance."
+
+
+
+
+
+
+
model_summaries
+
+
+
+
+
['Apple Inc. filed its annual Form 10-K report for the fiscal year ended September 28, 2024, detailing its business operations, product lines, and financial performance.',
+ "This Form 10-K filing by Apple Inc. for the fiscal year ended September 28, 2024, is an annual report detailing the company's financial performance, including registered securities, compliance with SEC reporting standards, and contains sections on business operations, risk factors, financial data, and management analysis.",
+ 'Apple Inc., a California-based technology company, reported an aggregate market value of approximately $2.6 trillion held by non-affiliates, with 15.1 billion shares of common stock outstanding as of October 18, 2024.']
+
+
+
+
+
+
+
evals
+
+
+
+
+
[JudgeEvaluation(expertise=7, coherence=8, fluency=8, similarity=7),
+ JudgeEvaluation(expertise=7, coherence=7, fluency=8, similarity=5),
+ JudgeEvaluation(expertise=4, coherence=5, fluency=7, similarity=2)]
+
+
+
+
+
+
+
# Convert evaluation objects to dictionaries
+evals_list = [
+    {
+        "expertise": eval.expertise,
+        "coherence": eval.coherence, 
+        "fluency": eval.fluency,
+        "similarity": eval.similarity
+    }
+    for eval in evals
+]
+
+# Visualize results
+plot = visualize_prompt_comparison(evals_list, models_test)
+plot.show()
+
+
+
+
+
/tmp/ipykernel_1652501/1775618912.py:14: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown
+  plot.show()
+
+
+../_images/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png +
+
+

Limitations

+
    +
  1. Potential for the evaluator model to share biases with the model being evaluated

  2. +
  3. Difficulty in validating the evaluation model’s own judgment

  4. +
  5. Computational overhead of running additional model inference

  6. +
+
    +
  • Bias and Limitations of LLMs: If the judge model has biases, these might affect evaluations.

  • +
  • Interpretability: LLMs may not provide clear rationales for their scores.

  • +
  • Dependency on Prompt Quality: Results heavily depend on well-crafted prompts.

  • +
+

The LLM-as-a-Judge strategy offers a scalable, nuanced, and efficient solution to evaluate LLM-based applications. While it does not entirely replace human judgment, it significantly augments evaluation workflows, especially in scenarios requiring consistency and scalability. Future improvements could include integrating human oversight and refining LLMs for domain-specific evaluation tasks.

4.5.2.2. Human-Based Evaluation

diff --git a/tamingllms/_build/html/searchindex.js b/tamingllms/_build/html/searchindex.js index 6e2b9e0..dd0992e 100644 --- a/tamingllms/_build/html/searchindex.js +++ b/tamingllms/_build/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["markdown/intro", "markdown/toc", "notebooks/evals", "notebooks/output_size_limit", "notebooks/structured_output"], "filenames": ["markdown/intro.md", "markdown/toc.md", "notebooks/evals.ipynb", "notebooks/output_size_limit.ipynb", "notebooks/structured_output.ipynb"], "titles": ["1. Introduction", "Taming Large Language Models", "4. Challenges of Evaluating LLM-based Applications", "2. Output Size Limitations", "3. Wrestling with Structured Output"], "terms": {"am": 0, "alwai": [0, 2, 4], "do": [0, 2, 3, 4], "which": [0, 2, 3, 4], "cannot": [0, 2], "order": [0, 2, 4], "mai": [0, 2, 3, 4], "learn": [0, 2, 4], "how": [0, 2, 3, 4], "pablo": 0, "picasso": 0, "In": [0, 2, 3, 4], "recent": [0, 4], "year": [0, 2, 3, 4], "larg": [0, 2, 3, 4], "languag": [0, 2, 3, 4], "model": 0, "llm": [0, 1, 3], "have": [0, 2, 3, 4], "emerg": 0, "transform": [0, 2, 4], "forc": [0, 2], "technologi": [0, 2, 3, 4], "promis": 0, "revolution": 0, "build": [0, 1, 2, 3], "product": [0, 2, 4], "interact": [0, 2, 3, 4], "comput": [0, 2, 3], "from": [0, 2, 3, 4], "chatgpt": [0, 2], "github": [0, 4], "copilot": 0, "claud": [0, 2, 3], "artifact": 0, "cursor": 0, "com": [0, 4], "replit": 0, "other": [0, 2, 3, 4], "system": [0, 1, 2, 3, 4], "captur": [0, 2], "public": 0, "imagin": 0, "spark": 0, "gold": 0, "rush": 0, "ai": [0, 4], "power": [0, 2, 3, 4], "applic": [0, 3, 4], "howev": [0, 2, 3, 4], "beneath": 0, "surfac": [0, 2], "technolog": 0, "revolut": 0, "li": 0, "complex": [0, 2, 3, 4], "landscap": [0, 2], "practition": 0, "must": [0, 2, 3], "navig": 0, "As": [0, 3, 4], "explor": [0, 2, 4], "engin": [0, 2, 4], "effort": [0, 4], "requir": [0, 2, 3, 4], "manag": [0, 1, 3, 4], "handl": [0, 1, 2, 3, 4], "non": [0, 4], "determinist": [0, 1], "output": [0, 2], "prevent": [0, 2, 4], "hallucin": [0, 4], "overst": 0, "while": [0, 2, 3, 4], "potenti": [0, 2, 3, 4], "remain": [0, 2, 3], "compel": [0, 4], "understand": [0, 1, 2, 3, 4], "hidden": [0, 1], "cost": [0, 2, 4], "reliabl": [0, 1, 2, 4], "enabl": [0, 2, 3, 4], "u": [0, 2, 4], "fulli": [0, 2, 3], "har": [0, 3], "impact": [0, 2, 3, 4], "capabl": [0, 2, 3, 4], "ar": [0, 2, 4], "inde": 0, "remark": 0, "prevail": 0, "narr": 0, "often": [0, 2, 3, 4], "gloss": 0, "over": [0, 2, 3, 4], "fundament": [0, 2], "problem": [0, 1], "organ": [0, 2, 3], "face": [0, 4], "when": [0, 2, 3, 4], "real": [0, 2, 3, 4], "world": [0, 2, 4], "aim": [0, 3, 4], "bridg": 0, "gap": 0, "offer": [0, 2, 4], "clear": [0, 2, 4], "ei": 0, "examin": [0, 3], "pitfal": [0, 1], "work": [0, 2, 3, 4], "throughout": [0, 3, 4], "tackl": 0, "follow": [0, 2, 3, 4], "exhaust": 0, "list": [0, 2, 3, 4], "critic": [0, 2, 3, 4], "behavior": [0, 1, 2], "unlik": [0, 2], "tradit": 0, "softwar": [0, 4], "can": [0, 2, 3, 4], "produc": [0, 2, 4], "differ": [0, 2, 3, 4], "ident": [0, 2], "input": [0, 1, 2, 3, 4], "make": [0, 2, 3, 4], "test": [0, 1, 2], "assur": 0, "particularli": [0, 2, 3, 4], "structur": [0, 2, 3], "un": 0, "struggl": [0, 4], "maintain": [0, 2, 3, 4], "consist": [0, 1, 2, 3, 4], "format": [0, 1, 2, 3, 4], "complic": 0, "integr": [0, 2, 4], "larger": [0, 2, 3], "error": [0, 1, 4], "more": [0, 2, 3, 4], "These": [0, 2, 3], "gener": [0, 1], "plausibl": 0, "sound": 0, "entir": [0, 3], "fabric": 0, "inform": [0, 2, 3, 4], "creat": [0, 2, 3, 4], "signific": [0, 2, 3, 4], "risk": [0, 2, 3], "optim": [0, 1, 3], "The": [0, 3], "financi": [0, 2, 3, 4], "oper": [0, 2, 3], "base": [0, 4], "quickli": [0, 3], "becom": [0, 2], "prohibit": 0, "without": [0, 2, 3, 4], "care": [0, 2, 4], "methodologi": [0, 4], "break": [0, 2, 3], "down": [0, 2, 3], "deal": 0, "new": [0, 2, 3, 4], "take": [0, 2, 3, 4], "hand": [0, 3, 4], "provid": [0, 2, 3], "concret": 0, "exampl": 0, "you": [0, 2, 3, 4], "run": [0, 2, 4], "modifi": 0, "scenario": [0, 2], "solut": [0, 1, 3], "strategi": [0, 1, 2, 3], "best": [0, 1, 2], "techniqu": [0, 1, 2, 3], "pattern": [0, 1, 2, 4], "anti": 0, "look": [0, 2], "limit": [0, 2, 4], "our": [0, 2, 3, 4], "goal": [0, 3], "discourag": 0, "us": [0, 2, 3, 4], "robust": [0, 2, 3, 4], "implement": [0, 1, 2, 3, 4], "By": [0, 3, 4], "upfront": 0, "better": [0, 3], "equip": 0, "leverag": [0, 3, 4], "effect": [0, 1, 2, 3, 4], "avoid": [0, 2, 4], "current": [0, 3], "discours": 0, "around": [0, 3, 4], "tend": [0, 2], "toward": [0, 2], "extrem": 0, "either": [0, 3], "uncrit": 0, "enthusiasm": 0, "wholesal": 0, "dismiss": 0, "focu": [0, 2, 3], "rather": [0, 2], "than": [0, 2], "theoret": 0, "first": [0, 2, 3], "everi": 0, "concept": 0, "illustr": [0, 2, 3], "execut": [0, 2], "immedi": 0, "analysi": [0, 1, 2, 3], "balanc": [0, 2, 3, 4], "both": [0, 2], "help": [0, 2, 3, 4], "reader": 0, "decis": [0, 4], "about": [0, 2, 3, 4], "design": [0, 3, 4], "lead": [0, 2, 3, 4], "initi": [0, 2, 3], "technic": [0, 2, 3], "leader": 0, "architectur": [0, 3], "anyon": 0, "seek": 0, "typic": [0, 2, 3], "job": 0, "role": [0, 2, 3, 4], "platform": [0, 3], "backend": 0, "develop": [0, 2, 3, 4], "exist": [0, 2], "ml": 0, "transit": [0, 2, 3], "overse": 0, "genai": 0, "motiv": 0, "need": [0, 2, 3, 4], "readi": [0, 2], "desir": [0, 2, 4], "overcom": [0, 3], "perform": [0, 1, 2, 3, 4], "ensur": [0, 2, 3, 4], "safeti": [0, 4], "after": [0, 3], "read": [0, 2, 3, 4], "abl": [0, 3, 4], "framework": [0, 2, 4], "deploi": [0, 3], "proper": [0, 4], "safeguard": 0, "realist": 0, "estim": 0, "project": 0, "timelin": 0, "To": [0, 2, 3, 4], "most": [0, 2, 3, 4], "should": [0, 2, 3, 4], "basic": [0, 2, 3], "program": [0, 2], "experi": [0, 2, 3, 4], "access": [0, 4], "knowledg": [0, 2], "openai": [0, 2, 4], "anthrop": [0, 4], "similar": [0, 2, 4], "grade": 0, "befor": 0, "dive": 0, "here": [0, 2, 3, 4], "": [0, 2, 3, 4], "get": [0, 2, 3, 4], "start": 0, "activ": [0, 2], "virtual": 0, "m": 0, "venv": 0, "env": [0, 2, 3, 4], "sourc": [0, 2, 4], "bin": 0, "On": [0, 4], "window": [0, 1], "script": [0, 1], "instal": [0, 2, 4], "packag": 0, "pip": [0, 2, 4], "r": [0, 2, 3, 4], "txt": [0, 2, 3, 4], "file": [0, 3, 4], "root": 0, "directori": 0, "add": [0, 3], "sensit": [0, 2], "openai_api_kei": 0, "your_openai_api_key_her": 0, "never": 0, "share": [0, 4], "commit": 0, "version": [0, 2, 4], "control": [0, 2, 4], "It": [0, 2, 3, 4], "contain": [0, 2, 3], "kept": 0, "privat": 0, "clone": 0, "companion": 0, "git": 0, "http": [0, 2, 4], "souzatharsi": 0, "tamingllm": 0, "cd": 0, "If": [0, 4], "encount": 0, "rate": [0, 2], "consid": [0, 2, 3, 4], "smaller": [0, 2, 3, 4], "retri": [0, 4], "logic": [0, 3], "conflict": 0, "try": [0, 2, 4], "fresh": 0, "like": [0, 2, 3, 4], "poetri": 0, "check": [0, 2], "page": 0, "known": [0, 2, 4], "now": [0, 2, 3, 4], "let": [0, 2, 3, 4], "begin": 0, "practic": [1, 2, 3], "guid": [1, 4], "python": [1, 4], "challeng": [1, 3], "why": 1, "thi": [1, 2, 3, 4], "book": 1, "matter": [1, 2], "overview": [1, 4], "kei": [1, 4], "temperatur": [1, 3], "random": [1, 2], "evalu": [1, 3], "measur": [1, 2], "observ": [1, 2, 4], "log": [1, 2], "monitor": 1, "debug": 1, "respons": [1, 2, 3, 4], "workflow": 1, "common": [1, 2, 3, 4], "failur": 1, "mode": 1, "text": [1, 2, 3, 4], "inconsist": [1, 2, 4], "valid": [1, 2, 4], "recoveri": 1, "enforc": [1, 4], "type": [1, 2, 3, 4], "detect": [1, 4], "ground": [1, 2], "retriev": 1, "augment": [1, 2], "rag": 1, "context": [1, 2, 3, 4], "select": [1, 2], "index": [1, 3], "vector": 1, "store": [1, 3], "chunk": 1, "method": [1, 2, 3, 4], "pipelin": 1, "token": [1, 2, 4], "cach": 1, "invalid": [1, 4], "predict": [1, 2, 4], "issu": [1, 2, 3, 4], "guard": 1, "content": 1, "filter": 1, "sanit": 1, "alert": 1, "constraint": [1, 3], "long": [1, 2], "form": [1, 2, 4], "vendor": [1, 2], "lock": 1, "self": 1, "host": 1, "llama": 1, "llamafil": 1, "setup": [1, 2], "usag": 1, "ollama": 1, "deploy": 1, "consider": [1, 4], "migrat": 1, "complet": [1, 2, 3, 4], "util": [1, 3], "function": [1, 2, 3, 4], "configur": [1, 2], "templat": [1, 2], "recommend": [1, 3, 4], "librari": [1, 2, 3, 4], "commun": 1, "surprisingli": 2, "all": [2, 3, 4], "greg": 2, "brockman": 2, "presid": 2, "One": 2, "i": [2, 3, 4], "natur": [2, 3, 4], "where": [2, 3], "same": [2, 3, 4], "each": [2, 3], "time": [2, 3, 4], "thei": [2, 3, 4], "re": [2, 3, 4], "queri": 2, "even": [2, 3, 4], "prompt": 2, "data": [2, 3, 4], "characterist": 2, "strength": 2, "ask": [2, 4], "ani": [2, 3, 4], "question": [2, 4], "multipl": [2, 3], "ll": 2, "isn": 2, "t": [2, 3, 4], "bug": 2, "featur": [2, 4], "paramet": [2, 4], "allow": [2, 3, 4], "creativ": [2, 4], "divers": [2, 3, 4], "incredibli": 2, "difficult": 2, "testabl": 2, "servic": [2, 3, 4], "compani": [2, 3, 4], "invest": [2, 4], "advic": 2, "mean": [2, 3, 4], "market": [2, 3, 4], "could": [2, 3], "yield": 2, "conclus": 2, "exceedingli": 2, "compar": [2, 3], "regulatori": 2, "complianc": [2, 4], "guarante": [2, 4], "user": [2, 3, 4], "trust": 2, "affect": 2, "primari": 2, "determin": [2, 3, 4], "come": [2, 3, 4], "dure": 2, "calcul": 2, "probabl": [2, 4], "distribut": [2, 4], "next": [2, 4], "set": [2, 3, 4], "nucleu": 2, "coher": [2, 3], "0": [2, 3, 4], "repetit": [2, 3], "1": [2, 4], "increas": [2, 3, 4], "incoher": 2, "dotenv": [2, 3, 4], "import": [2, 3, 4], "load_dotenv": [2, 3, 4], "o": [2, 3, 4], "load": [2, 3, 4], "environ": [2, 3, 4], "variabl": [2, 3, 4], "panda": 2, "pd": 2, "def": [2, 3, 4], "generate_respons": 2, "model_nam": [2, 3], "str": [2, 3, 4], "float": [2, 3], "attempt": [2, 3], "int": [2, 3], "3": [2, 4], "datafram": 2, "demonstr": [2, 3, 4], "client": [2, 4], "result": [2, 3, 4], "temp": 2, "rang": [2, 3, 4], "chat": [2, 3, 4], "messag": [2, 4], "max_token": 2, "50": 2, "append": [2, 3], "choic": 2, "displai": 2, "group": [2, 3], "df_result": 2, "print": [2, 3, 4], "f": [2, 3, 4], "ntemperatur": 2, "40": 2, "temp_respons": 2, "_": 2, "row": 2, "iterrow": 2, "return": [2, 3, 4], "max_length": [2, 4], "10000": [2, 3, 4], "we": [2, 3, 4], "length": [2, 4], "open": [2, 3, 4], "appl": [2, 3, 4], "sec_fil": [2, 4], "gpt": [2, 3, 4], "5": [2, 3, 4], "turbo": [2, 3, 4], "write": 2, "singl": [2, 3, 4], "summari": [2, 4], "2": [2, 4], "inc": [2, 3, 4], "its": [2, 3, 4], "10": [2, 3, 4], "k": [2, 3, 4], "fiscal": [2, 3], "end": [2, 3], "septemb": [2, 3], "28": [2, 3], "2024": [2, 3, 4], "detail": [2, 3, 4], "busi": 2, "well": [2, 4], "season": 2, "issuer": 2, "california": [2, 4], "manufactur": 2, "smartphon": 2, "person": [2, 4], "tablet": 2, "wearabl": [2, 4], "accessori": 2, "innov": [2, 3], "report": [2, 4], "condit": 2, "secur": [2, 3], "exchang": [2, 3], "commiss": [2, 3], "outlin": 2, "factor": [2, 3], "futur": 2, "invdestacksmeticsisdict": 2, "setispect": 2, "20cyan": 2, "evaluationseld": 2, "anvis": 2, "droitent": 2, "discernminerv": 2, "versbobprefvers": 2, "vo\u8be5": 2, "option\u548c": 2, "meio": 2, "forecast": 2, "\u0432\u0440\u0435\u043ccisco": 2, "dellaischenpoihscap": 2, "geme": 2, "gettim": 2, "comprehens": [2, 3, 4], "simpl": [2, 3], "reveal": 2, "dramat": [2, 4], "alter": 2, "wai": [2, 3, 4], "systemat": 2, "assess": [2, 3], "At": 2, "too": [2, 3], "rigid": 2, "vari": 2, "less": 2, "wildli": 2, "approach": [2, 3, 4], "inadequ": 2, "implic": 2, "profound": 2, "one": [2, 3, 4], "an": [2, 3, 4], "radic": 2, "reli": [2, 4], "grappl": 2, "probabilist": 2, "lower": [2, 4], "seem": [2, 4], "safer": 2, "don": [2, 3, 4], "elimin": 2, "underli": [2, 4], "uncertainti": 2, "mere": 2, "mask": 2, "highlight": [2, 3, 4], "paradigm": 2, "aspect": [2, 3, 4], "beyond": 2, "present": [2, 3, 4], "anoth": 2, "fascin": 2, "abil": [2, 4], "spontan": 2, "aris": 2, "scale": [2, 4], "up": [2, 3, 4], "size": [2, 4], "answer": [2, 3, 4], "reason": [2, 3, 4], "aren": 2, "explicitli": 2, "grow": [2, 4], "train": 2, "code": [2, 4], "against": 2, "specif": [2, 3], "wtb": 2, "22": 2, "fig": [2, 3, 4], "4": 2, "relationship": 2, "between": [2, 3], "linear": 2, "below": [2, 3], "certain": [2, 3, 4], "threshold": 2, "absent": 2, "simpli": [2, 3, 4], "much": 2, "coax": 2, "them": [2, 3, 4], "out": [2, 3], "onc": [2, 3], "reach": [2, 3, 4], "point": [2, 3], "journei": 2, "suddenli": 2, "manifest": 2, "what": [2, 4], "research": [2, 3, 4], "call": [2, 3, 4], "phase": 2, "shift": 2, "inabl": 2, "unpredict": [2, 4], "stand": 2, "stark": 2, "contrast": 2, "deliber": 2, "convent": 2, "stabl": 2, "suit": 2, "defin": [2, 3, 4], "accept": 2, "criteria": 2, "contend": 2, "constantli": 2, "7b": 2, "70b": 2, "ha": [2, 4], "dynam": 2, "rethink": 2, "custom": [2, 4], "support": [2, 4], "chatbot": 2, "would": [2, 3, 4], "refund": 2, "request": [2, 3, 4], "track": 2, "verifi": [2, 4], "But": 2, "just": [2, 3, 4], "predefin": [2, 4], "convers": [2, 3, 4], "appropri": [2, 3, 4], "emot": 2, "rais": [2, 3], "weren": 2, "evolv": [2, 3], "accuraci": 2, "subject": 2, "qualiti": [2, 3, 4], "kind": 2, "account": 2, "uniqu": 2, "across": 2, "sever": [2, 3, 4], "dimens": 2, "necessirali": 2, "pre": 2, "extend": 2, "explicit": [2, 4], "usual": 2, "precis": 2, "involv": [2, 4], "resist": 2, "straightforward": [2, 3], "quantif": 2, "numer": 2, "score": [2, 4], "judgment": 2, "inher": [2, 3, 4], "depend": 2, "dataset": 2, "contamin": 2, "carefulli": [2, 4], "craft": [2, 4], "case": [2, 3, 4], "expect": [2, 3, 4], "e": [2, 3, 4], "g": [2, 3, 4], "unit": [2, 3], "massiv": 2, "internet": 2, "alreadi": 2, "seen": 2, "memor": 2, "artifici": 2, "inflat": 2, "curat": 2, "truli": 2, "unseen": 2, "rigor": 2, "cross": 2, "benchmark": 2, "evolut": 2, "continu": [2, 3, 4], "advanc": [2, 3], "longitudin": 2, "comparison": [2, 4], "obsolet": 2, "older": 2, "autom": [2, 4], "demand": 2, "oversight": 2, "bias": [2, 4], "through": [2, 3, 4], "annot": 2, "review": [2, 4], "process": [2, 3, 4], "mostli": 2, "distinct": 2, "versu": 2, "latter": 2, "foundat": [2, 3], "purpos": [2, 4], "former": 2, "tailor": 2, "particular": [2, 4], "combin": [2, 3], "associ": [2, 3], "solv": [2, 4], "That": [2, 4], "differenti": 2, "becaus": 2, "chang": 2, "scope": [2, 3], "includ": [2, 3, 4], "thing": [2, 4], "meet": 2, "close": 2, "ti": 2, "align": [2, 3, 4], "object": [2, 4], "A": [2, 3], "great": [2, 4], "doesn": [2, 3, 4], "three": 2, "app": 2, "imag": 2, "audio": 2, "etc": [2, 4], "outcom": 2, "truth": 2, "option": [2, 3, 4], "standard": 2, "layer": [2, 3, 4], "repres": [2, 4], "palm": 2, "individu": [2, 3], "target": [2, 4], "appli": [2, 3], "note": [2, 3, 4], "further": [2, 3, 4], "see": [2, 4], "avail": [2, 3, 4], "addition": 2, "shown": 2, "fix": [2, 3], "default": [2, 4], "quantifi": 2, "rank": 2, "easi": [2, 3], "two": [2, 3, 4], "addit": [2, 3], "quantit": 2, "among": 2, "per": [2, 3], "aggreg": 2, "heavili": 2, "plan": 2, "pertain": 2, "previous": [2, 3], "discuss": 2, "doe": [2, 3, 4], "cover": [2, 3], "edg": 2, "good": [2, 4], "bia": 2, "separ": [2, 3], "synthet": 2, "updat": [2, 3], "reflect": 2, "post": 2, "launch": 2, "fair": 2, "timeout": 2, "variat": 2, "maxim": 2, "valu": [2, 3, 4], "success": 2, "inter": 2, "rater": 2, "scalabl": [2, 3], "weight": 2, "rel": 2, "priorit": 2, "normal": [2, 4], "absolut": [2, 4], "fail": 2, "confid": [2, 4], "interv": 2, "veri": 2, "tier": 2, "hollist": 2, "built": [2, 4], "mind": 2, "x": 2, "fast": 2, "promot": 2, "rapid": 2, "experiment": [2, 4], "iter": [2, 3], "final": [2, 3, 4], "keep": [2, 3], "itself": 2, "confirm": 2, "vi": 2, "categor": 2, "broad": 2, "categori": 2, "intrins": 2, "extrins": 2, "sequenc": 2, "perplex": 2, "given": [2, 3, 4], "variou": [2, 3, 4], "downstream": [2, 4], "directli": [2, 4], "valuabl": [2, 4], "insight": [2, 3, 4], "generalis": 2, "interest": [2, 3, 4], "sinc": [2, 3], "think": 2, "term": [2, 3], "discrimin": 2, "distinguish": 2, "classifi": 2, "sentiment": [2, 4], "classif": [2, 4], "identifi": [2, 3, 4], "whether": [2, 3, 4], "true": [2, 3, 4], "fals": [2, 4], "synthesi": 2, "For": [2, 3, 4], "discret": 2, "recal": 2, "f1": 2, "special": [2, 4], "match": [2, 4], "exact": 2, "prefix": 2, "translat": 2, "charact": [2, 3], "n": [2, 3], "gram": 2, "being": [2, 4], "guidelin": 2, "subsequ": 2, "section": [2, 3, 4], "tabl": [2, 3], "short": [2, 3], "wide": [2, 3, 4], "along": 2, "definit": [2, 4], "bilingu": 2, "understudi": 2, "overlap": [2, 3], "favor": [2, 4], "due": [2, 3], "breviti": 2, "penalti": 2, "insensit": 2, "semant": [2, 3], "high": [2, 3], "orient": 2, "gist": 2, "word": [2, 3, 4], "sentenc": [2, 3, 4], "focus": [2, 3, 4], "ignor": 2, "equival": 2, "influenc": 2, "meteor": 2, "synonym": 2, "stem": 2, "paraphras": 2, "alongsid": 2, "computation": [2, 3], "expens": 2, "databas": [2, 4], "cider": 2, "consensu": 2, "descript": [2, 4], "tf": 2, "idf": 2, "caption": 2, "outsid": 2, "reliant": 2, "corpu": 2, "statist": 2, "ter": 2, "edit": 2, "number": [2, 3, 4], "convert": [2, 4], "hypothesi": 2, "correct": [2, 4], "penal": 2, "bertscor": 2, "contextu": 2, "embed": [2, 3], "bert": 2, "spice": 2, "proposit": 2, "scene": 2, "graph": 2, "emphasi": 2, "onli": [2, 3, 4], "pure": 2, "textual": 2, "want": [2, 3], "extract": [2, 3, 4], "analyst": [2, 3], "prepar": [2, 3], "dictionari": [2, 4], "rouge_1": 2, "rouge_2": 2, "ideal": [2, 4], "humana": 2, "expert": [2, 3, 4], "cheaper": 2, "4o": [2, 3, 4], "mini": [2, 3, 4], "evaluate_summari": 2, "unigram": 2, "bigram": 2, "huggingfac": 2, "absl": 2, "py": 2, "rouge_scor": 2, "generated_summari": 2, "reference_summari": 2, "arg": [2, 3], "dict": [2, 3], "google_bleu": 2, "bleu_scor": 2, "rouge1": 2, "rouge2": 2, "instanc": [2, 3], "arbitrari": 2, "chosen": 2, "sentence1": 2, "cat": 2, "sat": 2, "mat": 2, "sentence2": 2, "ate": 2, "3333333333333333": 2, "7272727272727272": 2, "4444444444444445": 2, "generate_summari": 2, "summir": 2, "api": 2, "correspond": [2, 4], "liner": 2, "excerpt": 2, "evaluate_summary_model": 2, "model_benchmark": 2, "models_test": 2, "benchmark_summari": 2, "model_summari": 2, "evaluation_result": 2, "also": [2, 3, 4], "line": 2, "name": [2, 3, 4], "zip": 2, "annual": 2, "regul": [2, 4], "stock": [2, 4], "corpor": 2, "govern": 2, "forward": 2, "analyz": [2, 3], "statu": 2, "concis": 2, "yet": [2, 3], "core": 2, "omit": [2, 4], "essenti": [2, 3], "element": [2, 4], "Its": 2, "adequ": 2, "verbos": 2, "relev": 2, "introduc": [2, 3, 4], "peripher": 2, "quit": [2, 4], "factual": 2, "overli": [2, 4], "simplifi": [2, 4], "miss": 2, "convei": [2, 3], "breadth": 2, "Of": 2, "cours": 2, "abov": 2, "vibe": 2, "visualize_prompt_comparison": 2, "visual": 2, "matplotlib": 2, "radar": 2, "plot": 2, "radar_plot": 2, "show": [2, 3, 4], "tmp": 2, "ipykernel_1652501": 2, "940173201": 2, "userwarn": 2, "figurecanvasagg": 2, "thu": 2, "put": 2, "closest": 2, "largest": 2, "deviat": [2, 4], "suggest": [2, 4], "least": 2, "establish": 2, "otherwis": 2, "qualit": 2, "driven": 2, "might": [2, 3, 4], "nuanc": [2, 3, 4], "especi": [2, 3, 4], "those": [2, 3, 4], "primarili": 2, "level": [2, 3, 4], "granular": [2, 3], "address": [2, 3, 4], "altern": [2, 3], "assessor": 2, "judg": 2, "fluenci": 2, "resourc": [2, 3], "intens": [2, 4], "standardis": 2, "varieti": 2, "some": [2, 3, 4], "popular": 2, "glue": 2, "collect": [2, 3], "entail": 2, "holist": 2, "view": 2, "superglu": 2, "successor": 2, "push": 2, "boundari": 2, "big": 2, "bench": 2, "collabor": 2, "encompass": 2, "sens": 2, "helm": 2, "effici": [2, 3, 4], "flask": 2, "multitask": 2, "mmlu": 2, "57": 2, "social": 2, "scienc": 2, "humanev": 2, "livebench": 2, "mitig": [2, 3, 4], "releas": [2, 4], "monthli": 2, "leak": 2, "incorrect": 2, "ambigu": 2, "rememb": 2, "jason": 2, "wei": 2, "yi": [2, 4], "tai": 2, "rishi": 2, "bommasani": 2, "colin": 2, "raffel": 2, "barret": 2, "zoph": 2, "sebastian": 2, "borgeaud": 2, "dani": 2, "yogatama": 2, "maarten": 2, "bosma": 2, "denni": 2, "zhou": 2, "donald": 2, "metzler": 2, "ed": 2, "h": 2, "chi": 2, "tatsunori": 2, "hashimoto": 2, "oriol": 2, "vinyal": 2, "perci": 2, "liang": 2, "jeff": 2, "dean": 2, "william": 2, "fedu": 2, "2022": 2, "url": [2, 4], "arxiv": [2, 4], "org": [2, 4], "ab": [2, 4], "2206": 2, "07682": 2, "who": 3, "go": [3, 4], "far": 3, "possibli": 3, "find": [3, 4], "eliot": 3, "english": 3, "rule": 3, "thumb": 3, "\u00be": 3, "max_output_token": 3, "modern": 3, "maximum": 3, "4096": 3, "16384": 3, "contrari": 3, "summar": 3, "surpass": 3, "instead": [3, 4], "stop": 3, "mid": 3, "truncat": 3, "max_input_token": 3, "input_cost_per_token": 3, "output_cost_per_token": 3, "meta": 3, "llama3": 3, "11b": 3, "instruct": [3, 4], "v1": 3, "128000": 3, "5e": 3, "7": 3, "sonnet": 3, "20241022": 3, "8192": 3, "200000": 3, "3e": 3, "6": [3, 4], "0613": 3, "6e": 3, "04": 3, "09": 3, "1e": 3, "gemini": 3, "flash": 3, "002": 3, "1048576": 3, "8": 3, "pro": 3, "2097152": 3, "05e": 3, "pose": [3, 4], "incomplet": 3, "extens": [3, 4], "articl": 3, "abruptli": 3, "cut": 3, "off": [3, 4], "disrupt": 3, "flow": 3, "shallow": 3, "thorough": 3, "receiv": 3, "partial": 3, "dissatisfact": 3, "frustrat": 3, "educ": 3, "tool": 3, "creation": 3, "feasibl": 3, "split": 3, "previou": 3, "10k": 3, "sec": [3, 4], "schemat": 3, "represent": 3, "diagram": 3, "charactertextsplitt": 3, "tiktoken": 3, "sequenti": 3, "chain": 3, "newlin": 3, "There": 3, "situat": 3, "broadli": [3, 4], "decid": 3, "sure": 3, "lost": 3, "path": 3, "mani": [3, 4], "cheap": 3, "speciali": 3, "awar": 3, "advantag": [3, 4], "sophist": 3, "naiv": 3, "period": 3, "nltk": 3, "spaci": 3, "recurs": 3, "divid": 3, "hierarch": 3, "manner": [3, 4], "class": [3, 4], "your": [3, 4], "made": [3, 4], "talk": 3, "theme": 3, "topic": [3, 4], "langchain": 3, "count": 3, "get_chunk": 3, "chunk_siz": 3, "chunk_overlap": 3, "specifi": [3, 4], "langchain_text_splitt": 3, "text_splitt": 3, "from_tiktoken_encod": 3, "split_text": 3, "serv": [3, 4], "persona": 3, "assum": 3, "background": 3, "task": [3, 4], "action": 3, "input_text": 3, "actual": [3, 4], "langchain_cor": [3, 4], "prompttempl": 3, "get_base_prompt_templ": 3, "base_prompt": 3, "from_templ": 3, "llmchain": 3, "togeth": 3, "parser": [3, 4], "output_pars": 3, "stroutputpars": 3, "langchain_commun": 3, "chat_model": 3, "chatlitellm": 3, "get_llm_chain": 3, "prompt_templ": [3, 4], "llm_chain": [3, 4], "api_key_label": 3, "upper": 3, "_api_kei": 3, "api_kei": 3, "get_dynamic_prompt_templ": 3, "get_dynamic_prompt_param": 3, "prompt_param": 3, "part_idx": 3, "total_part": 3, "chat_context": 3, "origin": [3, 4], "part": [3, 4], "total": [3, 4], "param": 3, "dynamic_prompt_param": 3, "copi": 3, "save": 3, "introduct": 3, "elif": 3, "last": [3, 4], "second": 3, "main": [3, 4], "els": 3, "merg": 3, "concaten": 3, "generate_report": 3, "input_cont": 3, "llm_model_nam": 3, "report_part": 3, "num_part": 3, "len": 3, "dinam": 3, "priovid": 3, "enumer": 3, "invok": [3, 4], "cummul": 3, "join": 3, "sampl": [3, 4], "max_chunk_s": 3, "max_chunk_overlap": 3, "latest": [3, 4], "readabl": 3, "move": 3, "local": [3, 4], "apple_report": 3, "w": 3, "300": 3, "posit": [3, 4], "disclos": 3, "state": 3, "luation": 3, "oblig": 3, "cash": 3, "disciplin": 3, "deeper": 3, "few": [3, 4], "smooth": 3, "upon": 3, "head": 3, "subhead": 3, "clariti": 3, "document": [3, 4], "adher": [3, 4], "revenu": [3, 4], "segment": [3, 4], "profit": [3, 4], "liquid": 3, "capit": [3, 4], "inclus": 3, "despit": [3, 4], "depth": 3, "human": [3, 4], "overlook": 3, "fit": 3, "within": [3, 4], "meaning": [3, 4], "preserv": 3, "easier": [3, 4], "preprocess": 3, "significantli": 3, "enhanc": 3, "own": 3, "necessit": 3, "meticul": 3, "retain": 3, "necessari": 3, "seamlessli": 3, "circumv": 3, "therebi": 3, "contribut": 3, "overal": [3, 4], "escal": 3, "frequenc": 3, "volum": 3, "bottleneck": 3, "latenc": 3, "reduc": 3, "friendli": 3, "improv": [3, 4], "mustafa": 3, "suleyman": 3, "infinit": 3, "memori": 3, "amount": [3, 4], "fewer": 3, "compress": 3, "progress": 3, "condens": 3, "adapt": 3, "adjust": [3, 4], "flexibl": [3, 4], "constrain": [3, 4], "versatil": 3, "drive": 3, "grace": 3, "fallback": 3, "empow": 3, "crucial": [3, 4], "stai": 3, "full": [3, 4], "splitter": 3, "freedom": 4, "thrive": 4, "julia": 4, "b": 4, "cameron": 4, "excel": 4, "easili": 4, "sometim": 4, "unstructur": 4, "notebook": 4, "overrid": 4, "response_cont": 4, "wow": 4, "lot": 4, "breakdown": 4, "stream": 4, "portfolio": 4, "iphon": 4, "mac": 4, "ipad": 4, "impress": 4, "trend": 4, "notic": 4, "trillion": 4, "march": 4, "29": 4, "huge": 4, "investor": 4, "figur": 4, "compli": 4, "ye": 4, "accur": 4, "date": 4, "transpar": 4, "industri": 4, "serious": 4, "is_json": 4, "myjson": 4, "except": 4, "valueerror": 4, "clearli": 4, "obtain": 4, "lack": 4, "emploi": 4, "schema": 4, "guidanc": 4, "blueprint": 4, "achiev": 4, "pars": 4, "nativ": 4, "regular": 4, "express": 4, "dedic": 4, "json_format": 4, "person1": 4, "alic": 4, "q1": 4, "20": 4, "person2": 4, "bob": 4, "net": 4, "margin": 4, "materi": 4, "though": 4, "suffici": 4, "nest": 4, "restrict": 4, "todai": 4, "programmat": 4, "depict": 4, "thellm": 4, "conceptu": 4, "via": 4, "unend": 4, "whitespac": 4, "until": 4, "forget": 4, "throw": 4, "string": 4, "appear": 4, "somewher": 4, "response_format": 4, "json_object": 4, "approxim": 4, "628": 4, "553": 4, "000": 4, "held": 4, "affili": 4, "sheer": 4, "mention": 4, "15": 4, "115": 4, "823": 4, "outstand": 4, "octob": 4, "18": 4, "circul": 4, "plai": 4, "googl": 4, "vertex": 4, "suppli": 4, "so": 4, "worri": 4, "enum": 4, "benefit": 4, "No": 4, "incorrectli": 4, "refus": 4, "simpler": 4, "strongli": 4, "entiti": 4, "ii": 4, "place": 4, "doc": 4, "07": 4, "08": 4, "06": 4, "later": 4, "basemodel": 4, "secextract": 4, "mentioned_ent": 4, "mentioned_plac": 4, "extract_from_sec_fil": 4, "sec_filing_text": 4, "beta": 4, "explan": 4, "hint": 4, "send": 4, "attribut": 4, "conform": 4, "prompt_extract": 4, "sec_extract": 4, "nasdaq": 4, "llc": 4, "washington": 4, "d": 4, "c": 4, "cupertino": 4, "wa": 4, "usabl": 4, "beg": 4, "abstract": 4, "with_structured_output": 4, "runnabl": 4, "typeddict": 4, "qu": 4, "langchain_openai": 4, "chatopenai": 4, "chatprompttempl": 4, "extract_from_sec_filing_langchain": 4, "structured_llm": 4, "from_messag": 4, "sec_extraction_langchain": 4, "found": 4, "out24": 4, "under": 4, "hood": 4, "logit": 4, "raw": 4, "neural": 4, "network": 4, "prefer": 4, "fine": 4, "grain": 4, "regex": 4, "major": 4, "proprietari": 4, "vllm": 4, "qwen2": 4, "5b": 4, "lightweight": 4, "alibaba": 4, "cloud": 4, "strong": 4, "small": 4, "enough": 4, "hug": 4, "qwen": 4, "top": 4, "100": 4, "label": 4, "assist": 4, "neg": 4, "unexpect": 4, "malform": 4, "back": 4, "pass": 4, "modul": 4, "sec_extraction_outlin": 4, "zsp": 4, "zicorp": 4, "phenomenon": 4, "were": 4, "tune": 4, "simplic": 4, "v": 4, "greater": 4, "steeper": 4, "curv": 4, "wrapper": 4, "wider": 4, "structuredoutputpars": 4, "done": 4, "know": 4, "exactli": 4, "field": 4, "chanc": 4, "connect": 4, "highli": 4, "encourag": 4, "correctli": 4, "xml": 4, "area": 4, "me": 4, "speak": 4, "freeli": 4, "studi": 4, "twt": 4, "24": 4, "impos": 4, "evid": 4, "aid24": 4, "degrad": 4, "decod": 4, "multi": 4, "step": 4, "thought": 4, "strict": 4, "hinder": 4, "outweigh": 4, "team": 4, "rebutt": 4, "argu": 4, "reproduct": 4, "paper": 4, "paint": 4, "pictur": 4, "publicli": 4, "independ": 4, "verif": 4, "dot24": 4, "flaw": 4, "believ": 4, "led": 4, "inaccur": 4, "reconcil": 4, "uneven": 4, "didn": 4, "properli": 4, "conflat": 4, "argument": 4, "trade": 4, "surround": 4, "drawback": 4, "unlock": 4, "thank": 4, "pfiffer": 4, "hi": 4, "feedback": 4, "aider": 4, "14": 4, "html": 4, "dottxt": 4, "sai": 4, "demo": 4, "tree": 4, "safe": 4, "io": 4, "zhi": 4, "rui": 4, "tam": 4, "cheng": 4, "kuang": 4, "wu": 4, "lin": 4, "tsai": 4, "chieh": 4, "yen": 4, "hung": 4, "lee": 4, "yun": 4, "nung": 4, "chen": 4, "2408": 4, "02442": 4}, "objects": {}, "objtypes": {}, "objnames": {}, "titleterms": {"introduct": [0, 1], "content": [0, 2, 3, 4], "core": 0, "challeng": [0, 2, 4], "we": 0, "ll": 0, "address": 0, "A": [0, 1, 4], "practic": [0, 4], "approach": 0, "note": 0, "perspect": 0, "who": 0, "thi": 0, "book": 0, "i": 0, "For": 0, "outcom": 0, "prerequisit": 0, "set": 0, "up": 0, "your": 0, "environ": 0, "1": [0, 1, 3], "python": 0, "setup": 0, "2": [0, 1, 3], "api": [0, 4], "kei": [0, 2, 3], "configur": 0, "3": [0, 1, 3], "code": [0, 1], "repositori": 0, "troubleshoot": 0, "common": 0, "issu": 0, "tame": 1, "larg": 1, "languag": 1, "model": [1, 2, 3, 4], "chapter": 1, "non": [1, 2], "determin": 1, "eval": [1, 2], "wrestl": [1, 4], "structur": [1, 4], "output": [1, 3, 4], "4": [1, 3], "hallucin": 1, "The": [1, 2, 4], "realiti": 1, "gap": 1, "5": 1, "cost": [1, 3], "factor": 1, "6": 1, "safeti": 1, "concern": 1, "7": 1, "size": [1, 3], "length": [1, 3], "limit": [1, 3], "8": 1, "break": 1, "free": 1, "from": 1, "cloud": 1, "provid": [1, 4], "appendix": 1, "exampl": [1, 2, 3, 4], "b": 1, "tool": [1, 2, 4], "resourc": 1, "evalu": 2, "llm": [2, 4], "base": [2, 3], "applic": 2, "determinist": 2, "machin": 2, "temperatur": 2, "sampl": 2, "spectrum": 2, "emerg": 2, "properti": 2, "problem": [2, 3, 4], "statement": [2, 3, 4], "tradit": 2, "softwar": 2, "v": 2, "design": 2, "conceptu": 2, "overview": 2, "consider": [2, 3], "compon": 2, "metric": 2, "gener": [2, 3, 4], "task": 2, "bleu": 2, "roug": 2, "sec": 2, "file": 2, "summar": 2, "human": 2, "leaderboard": 2, "refer": [2, 3, 4], "what": 3, "ar": 3, "token": 3, "comparison": 3, "across": 3, "chunk": 3, "contextu": 3, "link": 3, "long": 3, "form": 3, "step": 3, "write": 3, "prompt": [3, 4], "templat": 3, "construct": 3, "dynam": 3, "paramet": 3, "report": 3, "usag": 3, "discuss": [3, 4], "implic": 3, "futur": 3, "conclus": [3, 4], "solut": 4, "strategi": 4, "techniqu": 4, "One": 4, "shot": 4, "specif": 4, "json": 4, "mode": 4, "langchain": 4, "outlin": 4, "simpl": 4, "multipl": 4, "choic": 4, "pydant": 4, "compar": 4, "best": 4, "ongo": 4, "debat": 4, "acknowledg": 4}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 8, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 57}, "alltitles": {"Introduction": [[0, "introduction"]], "Contents": [[0, "contents"], [2, "contents"], [3, "contents"], [4, "contents"]], "Core Challenges We\u2019ll Address": [[0, "core-challenges-we-ll-address"]], "A Practical Approach": [[0, "a-practical-approach"]], "A Note on Perspective": [[0, "a-note-on-perspective"]], "Who This Book Is For": [[0, "who-this-book-is-for"]], "Outcomes": [[0, "outcomes"]], "Prerequisites": [[0, "prerequisites"]], "Setting Up Your Environment": [[0, "setting-up-your-environment"]], "1. Python Environment Setup": [[0, "python-environment-setup"]], "2. API Keys Configuration": [[0, "api-keys-configuration"]], "3. Code Repository": [[0, "code-repository"]], "Troubleshooting Common Issues": [[0, "troubleshooting-common-issues"]], "Taming Large Language Models": [[1, "taming-large-language-models"]], "Chapter 1: Introduction": [[1, "chapter-1-introduction"]], "Chapter 2: Non-determinism & Evals": [[1, "chapter-2-non-determinism-evals"]], "Chapter 3: Wrestling with Structured Output": [[1, "chapter-3-wrestling-with-structured-output"]], "Chapter 4: Hallucination: The Reality Gap": [[1, "chapter-4-hallucination-the-reality-gap"]], "Chapter 5: The Cost Factor": [[1, "chapter-5-the-cost-factor"]], "Chapter 6: Safety Concerns": [[1, "chapter-6-safety-concerns"]], "Chapter 7: Size and Length Limitations": [[1, "chapter-7-size-and-length-limitations"]], "Chapter 8: Breaking Free from Cloud Providers": [[1, "chapter-8-breaking-free-from-cloud-providers"]], "Appendix A: Code Examples": [[1, "appendix-a-code-examples"]], "Appendix B: Tools and Resources": [[1, "appendix-b-tools-and-resources"]], "Challenges of Evaluating LLM-based Applications": [[2, "challenges-of-evaluating-llm-based-applications"]], "Non-Deterministic Machines": [[2, "non-deterministic-machines"]], "Temperature and Sampling": [[2, "temperature-and-sampling"]], "The Temperature Spectrum": [[2, "the-temperature-spectrum"]], "Emerging Properties": [[2, "emerging-properties"]], "Problem Statement": [[2, "problem-statement"], [3, "problem-statement"], [4, "problem-statement"]], "Evals of Traditional Software vs LLMs": [[2, "evals-table"]], "Evals Design": [[2, "evals-design"]], "Conceptual Overview": [[2, "conceptual-overview"]], "Design Considerations": [[2, "design-considerations"]], "Key Components": [[2, "key-components"]], "Metrics": [[2, "metrics"]], "Key Metrics for Evaluating Generative Tasks": [[2, "key-metrics"]], "Example: BLEU and ROUGE for SEC Filing Summarization": [[2, "example-bleu-and-rouge-for-sec-filing-summarization"]], "Considerations": [[2, "considerations"]], "Evaluators": [[2, "evaluators"]], "Model-Based Evaluation": [[2, "model-based-evaluation"]], "Human-Based Evaluation": [[2, "human-based-evaluation"]], "Leaderboard": [[2, "leaderboard"]], "Tools": [[2, "tools"]], "References": [[2, "references"], [3, "references"], [4, "references"]], "Output Size Limitations": [[3, "output-size-limitations"]], "What are Token Limits?": [[3, "what-are-token-limits"]], "Token Cost and Length Limitation Comparison Across Key Models": [[3, "token-cost-table"]], "Content Chunking with Contextual Linking": [[3, "content-chunking-with-contextual-linking"]], "Generating long-form content": [[3, "generating-long-form-content"]], "Step 1: Chunking the Content": [[3, "step-1-chunking-the-content"]], "Step 2: Writing the Base Prompt Template": [[3, "step-2-writing-the-base-prompt-template"]], "Step 3: Constructing Dynamic Prompt Parameters": [[3, "step-3-constructing-dynamic-prompt-parameters"]], "Step 4: Generating the Report": [[3, "step-4-generating-the-report"]], "Example Usage": [[3, "example-usage"]], "Discussion": [[3, "discussion"], [4, "discussion"]], "Implications": [[3, "implications"]], "Future Considerations": [[3, "future-considerations"]], "Conclusion": [[3, "conclusion"], [4, "conclusion"]], "Wrestling with Structured Output": [[4, "wrestling-with-structured-output"]], "The Structured Output Challenges": [[4, "the-structured-output-challenges"]], "Solutions": [[4, "solutions"]], "Strategies": [[4, "strategies"]], "Techniques and Tools": [[4, "techniques-and-tools"]], "One-Shot Prompts": [[4, "one-shot-prompts"]], "Structured Output with Provider-Specific APIs": [[4, "structured-output-with-provider-specific-apis"]], "JSON Mode": [[4, "json-mode"]], "LangChain": [[4, "langchain"]], "Outlines": [[4, "outlines"]], "A Simple Example: Multiple Choice Generation": [[4, "a-simple-example-multiple-choice-generation"]], "Pydantic model": [[4, "pydantic-model"]], "Comparing Solutions": [[4, "comparing-solutions"]], "Best Practices": [[4, "best-practices"]], "Ongoing Debate on LLMs Structured Output": [[4, "ongoing-debate-on-llms-structured-output"]], "Acknowledgements": [[4, "acknowledgements"]]}, "indexentries": {}}) \ No newline at end of file +Search.setIndex({"docnames": ["markdown/intro", "markdown/toc", "notebooks/evals", "notebooks/output_size_limit", "notebooks/structured_output"], "filenames": ["markdown/intro.md", "markdown/toc.md", "notebooks/evals.ipynb", "notebooks/output_size_limit.ipynb", "notebooks/structured_output.ipynb"], "titles": ["1. Introduction", "Taming Large Language Models", "4. Challenges of Evaluating LLM-based Applications", "2. Output Size Limitations", "3. Wrestling with Structured Output"], "terms": {"am": 0, "alwai": [0, 2, 4], "do": [0, 2, 3, 4], "which": [0, 2, 3, 4], "cannot": [0, 2], "order": [0, 2, 4], "mai": [0, 2, 3, 4], "learn": [0, 2, 4], "how": [0, 2, 3, 4], "pablo": 0, "picasso": 0, "In": [0, 2, 3, 4], "recent": [0, 4], "year": [0, 2, 3, 4], "larg": [0, 2, 3, 4], "languag": [0, 2, 3, 4], "model": 0, "llm": [0, 1, 3], "have": [0, 2, 3, 4], "emerg": 0, "transform": [0, 2, 4], "forc": [0, 2], "technologi": [0, 2, 3, 4], "promis": 0, "revolution": 0, "build": [0, 1, 2, 3], "product": [0, 2, 4], "interact": [0, 2, 3, 4], "comput": [0, 2, 3], "from": [0, 2, 3, 4], "chatgpt": [0, 2], "github": [0, 4], "copilot": 0, "claud": [0, 2, 3], "artifact": 0, "cursor": 0, "com": [0, 4], "replit": 0, "other": [0, 2, 3, 4], "system": [0, 1, 2, 3, 4], "captur": [0, 2], "public": 0, "imagin": 0, "spark": 0, "gold": 0, "rush": 0, "ai": [0, 4], "power": [0, 2, 3, 4], "applic": [0, 3, 4], "howev": [0, 2, 3, 4], "beneath": 0, "surfac": [0, 2], "technolog": 0, "revolut": 0, "li": 0, "complex": [0, 2, 3, 4], "landscap": [0, 2], "practition": 0, "must": [0, 2, 3], "navig": 0, "As": [0, 2, 3, 4], "explor": [0, 2, 4], "engin": [0, 2, 4], "effort": [0, 4], "requir": [0, 2, 3, 4], "manag": [0, 1, 2, 3, 4], "handl": [0, 1, 2, 3, 4], "non": [0, 4], "determinist": [0, 1], "output": [0, 2], "prevent": [0, 2, 4], "hallucin": [0, 4], "overst": 0, "while": [0, 2, 3, 4], "potenti": [0, 2, 3, 4], "remain": [0, 2, 3], "compel": [0, 4], "understand": [0, 1, 2, 3, 4], "hidden": [0, 1], "cost": [0, 2, 4], "reliabl": [0, 1, 2, 4], "enabl": [0, 2, 3, 4], "u": [0, 2, 4], "fulli": [0, 2, 3], "har": [0, 3], "impact": [0, 2, 3, 4], "capabl": [0, 2, 3, 4], "ar": [0, 2, 4], "inde": 0, "remark": 0, "prevail": 0, "narr": 0, "often": [0, 2, 3, 4], "gloss": 0, "over": [0, 2, 3, 4], "fundament": [0, 2], "problem": [0, 1], "organ": [0, 2, 3], "face": [0, 4], "when": [0, 2, 3, 4], "real": [0, 2, 3, 4], "world": [0, 2, 4], "aim": [0, 3, 4], "bridg": 0, "gap": 0, "offer": [0, 2, 4], "clear": [0, 2, 4], "ei": 0, "examin": [0, 3], "pitfal": [0, 1], "work": [0, 2, 3, 4], "throughout": [0, 3, 4], "tackl": 0, "follow": [0, 2, 3, 4], "exhaust": 0, "list": [0, 2, 3, 4], "critic": [0, 2, 3, 4], "behavior": [0, 1, 2], "unlik": [0, 2], "tradit": 0, "softwar": [0, 4], "can": [0, 2, 3, 4], "produc": [0, 2, 4], "differ": [0, 2, 3, 4], "ident": [0, 2], "input": [0, 1, 2, 3, 4], "make": [0, 2, 3, 4], "test": [0, 1, 2], "assur": 0, "particularli": [0, 2, 3, 4], "structur": [0, 2, 3], "un": 0, "struggl": [0, 4], "maintain": [0, 2, 3, 4], "consist": [0, 1, 2, 3, 4], "format": [0, 1, 2, 3, 4], "complic": 0, "integr": [0, 2, 4], "larger": [0, 2, 3], "error": [0, 1, 4], "more": [0, 2, 3, 4], "These": [0, 2, 3], "gener": [0, 1], "plausibl": 0, "sound": 0, "entir": [0, 2, 3], "fabric": 0, "inform": [0, 2, 3, 4], "creat": [0, 2, 3, 4], "signific": [0, 2, 3, 4], "risk": [0, 2, 3], "optim": [0, 1, 3], "The": [0, 3], "financi": [0, 2, 3, 4], "oper": [0, 2, 3], "base": [0, 4], "quickli": [0, 3], "becom": [0, 2], "prohibit": 0, "without": [0, 2, 3, 4], "care": [0, 2, 4], "methodologi": [0, 4], "break": [0, 2, 3], "down": [0, 2, 3], "deal": 0, "new": [0, 2, 3, 4], "take": [0, 2, 3, 4], "hand": [0, 3, 4], "provid": [0, 2, 3], "concret": 0, "exampl": 0, "you": [0, 2, 3, 4], "run": [0, 2, 4], "modifi": 0, "scenario": [0, 2], "solut": [0, 1, 2, 3], "strategi": [0, 1, 2, 3], "best": [0, 1, 2], "techniqu": [0, 1, 2, 3], "pattern": [0, 1, 2, 4], "anti": 0, "look": [0, 2], "limit": [0, 2, 4], "our": [0, 2, 3, 4], "goal": [0, 3], "discourag": 0, "us": [0, 2, 3, 4], "robust": [0, 2, 3, 4], "implement": [0, 1, 2, 3, 4], "By": [0, 3, 4], "upfront": 0, "better": [0, 3], "equip": 0, "leverag": [0, 2, 3, 4], "effect": [0, 1, 2, 3, 4], "avoid": [0, 2, 4], "current": [0, 3], "discours": 0, "around": [0, 3, 4], "tend": [0, 2], "toward": [0, 2], "extrem": 0, "either": [0, 3], "uncrit": 0, "enthusiasm": 0, "wholesal": 0, "dismiss": 0, "focu": [0, 2, 3], "rather": [0, 2], "than": [0, 2], "theoret": 0, "first": [0, 2, 3], "everi": 0, "concept": 0, "illustr": [0, 2, 3], "execut": [0, 2], "immedi": 0, "analysi": [0, 1, 2, 3], "balanc": [0, 2, 3, 4], "both": [0, 2], "help": [0, 2, 3, 4], "reader": 0, "decis": [0, 4], "about": [0, 2, 3, 4], "design": [0, 3, 4], "lead": [0, 2, 3, 4], "initi": [0, 2, 3], "technic": [0, 2, 3], "leader": 0, "architectur": [0, 3], "anyon": 0, "seek": 0, "typic": [0, 2, 3], "job": 0, "role": [0, 2, 3, 4], "platform": [0, 3], "backend": 0, "develop": [0, 2, 3, 4], "exist": [0, 2], "ml": 0, "transit": [0, 2, 3], "overse": 0, "genai": 0, "motiv": 0, "need": [0, 2, 3, 4], "readi": [0, 2], "desir": [0, 2, 4], "overcom": [0, 3], "perform": [0, 1, 2, 3, 4], "ensur": [0, 2, 3, 4], "safeti": [0, 4], "after": [0, 3], "read": [0, 2, 3, 4], "abl": [0, 3, 4], "framework": [0, 2, 4], "deploi": [0, 3], "proper": [0, 4], "safeguard": 0, "realist": 0, "estim": 0, "project": 0, "timelin": 0, "To": [0, 2, 3, 4], "most": [0, 2, 3, 4], "should": [0, 2, 3, 4], "basic": [0, 2, 3], "program": [0, 2], "experi": [0, 2, 3, 4], "access": [0, 4], "knowledg": [0, 2], "openai": [0, 2, 4], "anthrop": [0, 4], "similar": [0, 2, 4], "grade": 0, "befor": 0, "dive": 0, "here": [0, 2, 3, 4], "": [0, 2, 3, 4], "get": [0, 2, 3, 4], "start": 0, "activ": [0, 2], "virtual": 0, "m": 0, "venv": 0, "env": [0, 2, 3, 4], "sourc": [0, 2, 4], "bin": 0, "On": [0, 4], "window": [0, 1], "script": [0, 1], "instal": [0, 2, 4], "packag": 0, "pip": [0, 2, 4], "r": [0, 2, 3, 4], "txt": [0, 2, 3, 4], "file": [0, 3, 4], "root": 0, "directori": 0, "add": [0, 3], "sensit": [0, 2], "openai_api_kei": 0, "your_openai_api_key_her": 0, "never": 0, "share": [0, 2, 4], "commit": 0, "version": [0, 2, 4], "control": [0, 2, 4], "It": [0, 2, 3, 4], "contain": [0, 2, 3], "kept": 0, "privat": 0, "clone": 0, "companion": 0, "git": 0, "http": [0, 2, 4], "souzatharsi": 0, "tamingllm": 0, "cd": 0, "If": [0, 2, 4], "encount": 0, "rate": [0, 2], "consid": [0, 2, 3, 4], "smaller": [0, 2, 3, 4], "retri": [0, 4], "logic": [0, 2, 3], "conflict": 0, "try": [0, 2, 4], "fresh": 0, "like": [0, 2, 3, 4], "poetri": 0, "check": [0, 2], "page": 0, "known": [0, 2, 4], "now": [0, 2, 3, 4], "let": [0, 2, 3, 4], "begin": 0, "practic": [1, 2, 3], "guid": [1, 2, 4], "python": [1, 4], "challeng": [1, 3], "why": 1, "thi": [1, 2, 3, 4], "book": 1, "matter": [1, 2], "overview": [1, 4], "kei": [1, 4], "temperatur": [1, 3], "random": [1, 2], "evalu": [1, 3], "measur": [1, 2], "observ": [1, 2, 4], "log": [1, 2], "monitor": 1, "debug": 1, "respons": [1, 2, 3, 4], "workflow": [1, 2], "common": [1, 2, 3, 4], "failur": 1, "mode": 1, "text": [1, 2, 3, 4], "inconsist": [1, 2, 4], "valid": [1, 2, 4], "recoveri": 1, "enforc": [1, 4], "type": [1, 2, 3, 4], "detect": [1, 4], "ground": [1, 2], "retriev": 1, "augment": [1, 2], "rag": 1, "context": [1, 2, 3, 4], "select": [1, 2], "index": [1, 3], "vector": 1, "store": [1, 3], "chunk": 1, "method": [1, 2, 3, 4], "pipelin": 1, "token": [1, 2, 4], "cach": 1, "invalid": [1, 4], "predict": [1, 2, 4], "issu": [1, 2, 3, 4], "guard": 1, "content": 1, "filter": 1, "sanit": 1, "alert": 1, "constraint": [1, 3], "long": [1, 2], "form": [1, 2, 4], "vendor": [1, 2], "lock": 1, "self": 1, "host": 1, "llama": 1, "llamafil": 1, "setup": [1, 2], "usag": [1, 2], "ollama": 1, "deploy": 1, "consider": [1, 4], "migrat": 1, "complet": [1, 2, 3, 4], "util": [1, 3], "function": [1, 2, 3, 4], "configur": [1, 2], "templat": [1, 2], "recommend": [1, 3, 4], "librari": [1, 2, 3, 4], "commun": 1, "surprisingli": 2, "all": [2, 3, 4], "greg": 2, "brockman": 2, "presid": 2, "One": 2, "i": [2, 3, 4], "natur": [2, 3, 4], "where": [2, 3], "same": [2, 3, 4], "each": [2, 3], "time": [2, 3, 4], "thei": [2, 3, 4], "re": [2, 3, 4], "queri": 2, "even": [2, 3, 4], "prompt": 2, "data": [2, 3, 4], "characterist": 2, "strength": 2, "ask": [2, 4], "ani": [2, 3, 4], "question": [2, 4], "multipl": [2, 3], "ll": 2, "isn": 2, "t": [2, 3, 4], "bug": 2, "featur": [2, 4], "paramet": [2, 4], "allow": [2, 3, 4], "creativ": [2, 4], "divers": [2, 3, 4], "incredibli": 2, "difficult": 2, "testabl": 2, "servic": [2, 3, 4], "compani": [2, 3, 4], "invest": [2, 4], "advic": 2, "mean": [2, 3, 4], "market": [2, 3, 4], "could": [2, 3], "yield": 2, "conclus": 2, "exceedingli": 2, "compar": [2, 3], "regulatori": 2, "complianc": [2, 4], "guarante": [2, 4], "user": [2, 3, 4], "trust": 2, "affect": 2, "primari": 2, "determin": [2, 3, 4], "come": [2, 3, 4], "dure": 2, "calcul": 2, "probabl": [2, 4], "distribut": [2, 4], "next": [2, 4], "set": [2, 3, 4], "nucleu": 2, "coher": [2, 3], "0": [2, 3, 4], "repetit": [2, 3], "1": [2, 4], "increas": [2, 3, 4], "incoher": 2, "dotenv": [2, 3, 4], "import": [2, 3, 4], "load_dotenv": [2, 3, 4], "o": [2, 3, 4], "load": [2, 3, 4], "environ": [2, 3, 4], "variabl": [2, 3, 4], "panda": 2, "pd": 2, "def": [2, 3, 4], "generate_respons": 2, "model_nam": [2, 3], "str": [2, 3, 4], "float": [2, 3], "attempt": [2, 3], "int": [2, 3], "3": [2, 4], "datafram": 2, "demonstr": [2, 3, 4], "client": [2, 4], "result": [2, 3, 4], "temp": 2, "rang": [2, 3, 4], "chat": [2, 3, 4], "messag": [2, 4], "max_token": 2, "50": 2, "append": [2, 3], "choic": 2, "displai": 2, "group": [2, 3], "df_result": 2, "print": [2, 3, 4], "f": [2, 3, 4], "ntemperatur": 2, "40": 2, "temp_respons": 2, "_": 2, "row": 2, "iterrow": 2, "return": [2, 3, 4], "max_length": [2, 4], "10000": [2, 3, 4], "we": [2, 3, 4], "length": [2, 4], "open": [2, 3, 4], "appl": [2, 3, 4], "sec_fil": [2, 4], "gpt": [2, 3, 4], "5": [2, 3, 4], "turbo": [2, 3, 4], "write": 2, "singl": [2, 3, 4], "summari": [2, 4], "2": [2, 4], "inc": [2, 3, 4], "its": [2, 3, 4], "10": [2, 3, 4], "k": [2, 3, 4], "fiscal": [2, 3], "end": [2, 3], "septemb": [2, 3], "28": [2, 3], "2024": [2, 3, 4], "detail": [2, 3, 4], "busi": 2, "well": [2, 4], "season": 2, "issuer": 2, "california": [2, 4], "manufactur": 2, "smartphon": 2, "person": [2, 4], "tablet": 2, "wearabl": [2, 4], "accessori": 2, "innov": [2, 3], "report": [2, 4], "condit": 2, "secur": [2, 3], "exchang": [2, 3], "commiss": [2, 3], "outlin": 2, "factor": [2, 3], "futur": 2, "invdestacksmeticsisdict": 2, "setispect": 2, "20cyan": 2, "evaluationseld": 2, "anvis": 2, "droitent": 2, "discernminerv": 2, "versbobprefvers": 2, "vo\u8be5": 2, "option\u548c": 2, "meio": 2, "forecast": 2, "\u0432\u0440\u0435\u043ccisco": 2, "dellaischenpoihscap": 2, "geme": 2, "gettim": 2, "comprehens": [2, 3, 4], "simpl": [2, 3], "reveal": 2, "dramat": [2, 4], "alter": 2, "wai": [2, 3, 4], "systemat": 2, "assess": [2, 3], "At": 2, "too": [2, 3], "rigid": 2, "vari": 2, "less": 2, "wildli": 2, "approach": [2, 3, 4], "inadequ": 2, "implic": 2, "profound": 2, "one": [2, 3, 4], "an": [2, 3, 4], "radic": 2, "reli": [2, 4], "grappl": 2, "probabilist": 2, "lower": [2, 4], "seem": [2, 4], "safer": 2, "don": [2, 3, 4], "elimin": 2, "underli": [2, 4], "uncertainti": 2, "mere": 2, "mask": 2, "highlight": [2, 3, 4], "paradigm": 2, "aspect": [2, 3, 4], "beyond": 2, "present": [2, 3, 4], "anoth": 2, "fascin": 2, "abil": [2, 4], "spontan": 2, "aris": 2, "scale": [2, 4], "up": [2, 3, 4], "size": [2, 4], "answer": [2, 3, 4], "reason": [2, 3, 4], "aren": 2, "explicitli": 2, "grow": [2, 4], "train": 2, "code": [2, 4], "against": 2, "specif": [2, 3], "wtb": 2, "22": 2, "fig": [2, 3, 4], "4": 2, "relationship": 2, "between": [2, 3], "linear": 2, "below": [2, 3], "certain": [2, 3, 4], "threshold": 2, "absent": 2, "simpli": [2, 3, 4], "much": 2, "coax": 2, "them": [2, 3, 4], "out": [2, 3], "onc": [2, 3], "reach": [2, 3, 4], "point": [2, 3], "journei": 2, "suddenli": 2, "manifest": 2, "what": [2, 4], "research": [2, 3, 4], "call": [2, 3, 4], "phase": 2, "shift": 2, "inabl": 2, "unpredict": [2, 4], "stand": 2, "stark": 2, "contrast": 2, "deliber": 2, "convent": 2, "stabl": 2, "suit": 2, "defin": [2, 3, 4], "accept": 2, "criteria": 2, "contend": 2, "constantli": 2, "7b": 2, "70b": 2, "ha": [2, 4], "dynam": 2, "rethink": 2, "custom": [2, 4], "support": [2, 4], "chatbot": 2, "would": [2, 3, 4], "refund": 2, "request": [2, 3, 4], "track": 2, "verifi": [2, 4], "But": 2, "just": [2, 3, 4], "predefin": [2, 4], "convers": [2, 3, 4], "appropri": [2, 3, 4], "emot": 2, "rais": [2, 3], "weren": 2, "evolv": [2, 3], "accuraci": 2, "subject": 2, "qualiti": [2, 3, 4], "kind": 2, "account": 2, "uniqu": 2, "across": 2, "sever": [2, 3, 4], "dimens": 2, "necessirali": 2, "pre": 2, "extend": 2, "explicit": [2, 4], "usual": 2, "precis": 2, "involv": [2, 4], "resist": 2, "straightforward": [2, 3], "quantif": 2, "numer": 2, "score": [2, 4], "judgment": 2, "inher": [2, 3, 4], "depend": 2, "dataset": 2, "contamin": 2, "carefulli": [2, 4], "craft": [2, 4], "case": [2, 3, 4], "expect": [2, 3, 4], "e": [2, 3, 4], "g": [2, 3, 4], "unit": [2, 3], "massiv": 2, "internet": 2, "alreadi": 2, "seen": 2, "memor": 2, "artifici": 2, "inflat": 2, "curat": 2, "truli": 2, "unseen": 2, "rigor": 2, "cross": 2, "benchmark": 2, "evolut": 2, "continu": [2, 3, 4], "advanc": [2, 3], "longitudin": 2, "comparison": [2, 4], "obsolet": 2, "older": 2, "autom": [2, 4], "demand": 2, "oversight": 2, "bias": [2, 4], "through": [2, 3, 4], "annot": 2, "review": [2, 4], "process": [2, 3, 4], "mostli": 2, "distinct": 2, "versu": 2, "latter": 2, "foundat": [2, 3], "purpos": [2, 4], "former": 2, "tailor": 2, "particular": [2, 4], "combin": [2, 3], "associ": [2, 3], "solv": [2, 4], "That": [2, 4], "differenti": 2, "becaus": 2, "chang": 2, "scope": [2, 3], "includ": [2, 3, 4], "thing": [2, 4], "meet": 2, "close": 2, "ti": 2, "align": [2, 3, 4], "object": [2, 4], "A": [2, 3], "great": [2, 4], "doesn": [2, 3, 4], "three": 2, "app": 2, "imag": 2, "audio": 2, "etc": [2, 4], "outcom": 2, "truth": 2, "option": [2, 3, 4], "standard": 2, "layer": [2, 3, 4], "repres": [2, 4], "palm": 2, "individu": [2, 3], "target": [2, 4], "appli": [2, 3], "note": [2, 3, 4], "further": [2, 3, 4], "see": [2, 4], "avail": [2, 3, 4], "addition": 2, "shown": 2, "fix": [2, 3], "default": [2, 4], "quantifi": 2, "rank": 2, "easi": [2, 3], "two": [2, 3, 4], "addit": [2, 3], "quantit": 2, "among": 2, "per": [2, 3], "aggreg": 2, "heavili": 2, "plan": 2, "pertain": 2, "previous": [2, 3], "discuss": 2, "doe": [2, 3, 4], "cover": [2, 3], "edg": 2, "good": [2, 4], "bia": 2, "separ": [2, 3], "synthet": 2, "updat": [2, 3], "reflect": 2, "post": 2, "launch": 2, "fair": 2, "timeout": 2, "variat": 2, "maxim": 2, "valu": [2, 3, 4], "success": 2, "inter": 2, "rater": 2, "scalabl": [2, 3], "weight": 2, "rel": 2, "priorit": 2, "normal": [2, 4], "absolut": [2, 4], "fail": 2, "confid": [2, 4], "interv": 2, "veri": 2, "tier": 2, "hollist": 2, "built": [2, 4], "mind": 2, "x": 2, "fast": 2, "promot": 2, "rapid": 2, "experiment": [2, 4], "iter": [2, 3], "final": [2, 3, 4], "keep": [2, 3], "itself": 2, "confirm": 2, "vi": 2, "categor": 2, "broad": 2, "categori": 2, "intrins": 2, "extrins": 2, "sequenc": 2, "perplex": 2, "given": [2, 3, 4], "variou": [2, 3, 4], "downstream": [2, 4], "directli": [2, 4], "valuabl": [2, 4], "insight": [2, 3, 4], "generalis": 2, "interest": [2, 3, 4], "sinc": [2, 3], "think": 2, "term": [2, 3], "discrimin": 2, "distinguish": 2, "classifi": 2, "sentiment": [2, 4], "classif": [2, 4], "identifi": [2, 3, 4], "whether": [2, 3, 4], "true": [2, 3, 4], "fals": [2, 4], "synthesi": 2, "For": [2, 3, 4], "discret": 2, "recal": 2, "f1": 2, "special": [2, 4], "match": [2, 4], "exact": 2, "prefix": 2, "translat": 2, "charact": [2, 3], "n": [2, 3], "gram": 2, "being": [2, 4], "guidelin": 2, "subsequ": 2, "section": [2, 3, 4], "tabl": [2, 3], "short": [2, 3], "wide": [2, 3, 4], "along": 2, "definit": [2, 4], "bilingu": 2, "understudi": 2, "overlap": [2, 3], "favor": [2, 4], "due": [2, 3], "breviti": 2, "penalti": 2, "insensit": 2, "semant": [2, 3], "high": [2, 3], "orient": 2, "gist": 2, "word": [2, 3, 4], "sentenc": [2, 3, 4], "focus": [2, 3, 4], "ignor": 2, "equival": 2, "influenc": 2, "meteor": 2, "synonym": 2, "stem": 2, "paraphras": 2, "alongsid": 2, "computation": [2, 3], "expens": 2, "databas": [2, 4], "cider": 2, "consensu": 2, "descript": [2, 4], "tf": 2, "idf": 2, "caption": 2, "outsid": 2, "reliant": 2, "corpu": 2, "statist": 2, "ter": 2, "edit": 2, "number": [2, 3, 4], "convert": [2, 4], "hypothesi": 2, "correct": [2, 4], "penal": 2, "bertscor": 2, "contextu": 2, "embed": [2, 3], "bert": 2, "spice": 2, "proposit": 2, "scene": 2, "graph": 2, "emphasi": 2, "onli": [2, 3, 4], "pure": 2, "textual": 2, "want": [2, 3], "extract": [2, 3, 4], "analyst": [2, 3], "prepar": [2, 3], "dictionari": [2, 4], "rouge_1": 2, "rouge_2": 2, "ideal": [2, 4], "humana": 2, "expert": [2, 3, 4], "cheaper": 2, "4o": [2, 3, 4], "mini": [2, 3, 4], "evaluate_summari": 2, "unigram": 2, "bigram": 2, "huggingfac": 2, "absl": 2, "py": 2, "rouge_scor": 2, "generated_summari": 2, "reference_summari": 2, "arg": [2, 3], "dict": [2, 3], "google_bleu": 2, "bleu_scor": 2, "rouge1": 2, "rouge2": 2, "instanc": [2, 3], "arbitrari": 2, "chosen": 2, "sentence1": 2, "cat": 2, "sat": 2, "mat": 2, "sentence2": 2, "ate": 2, "3333333333333333": 2, "7272727272727272": 2, "4444444444444445": 2, "generate_summari": 2, "summir": 2, "api": 2, "correspond": [2, 4], "liner": 2, "excerpt": 2, "evaluate_summary_model": 2, "model_benchmark": 2, "models_test": 2, "benchmark_summari": 2, "model_summari": 2, "evaluation_result": 2, "also": [2, 3, 4], "line": 2, "name": [2, 3, 4], "zip": 2, "annual": 2, "regul": [2, 4], "stock": [2, 4], "corpor": 2, "govern": 2, "forward": 2, "analyz": [2, 3], "statu": 2, "concis": 2, "yet": [2, 3], "core": 2, "omit": [2, 4], "essenti": [2, 3], "element": [2, 4], "Its": 2, "adequ": 2, "verbos": 2, "relev": 2, "introduc": [2, 3, 4], "peripher": 2, "quit": [2, 4], "factual": 2, "overli": [2, 4], "simplifi": [2, 4], "miss": 2, "convei": [2, 3], "breadth": 2, "Of": 2, "cours": 2, "abov": 2, "vibe": 2, "visualize_prompt_comparison": 2, "visual": 2, "matplotlib": 2, "radar": 2, "plot": 2, "radar_plot": 2, "show": [2, 3, 4], "tmp": 2, "ipykernel_1652501": 2, "940173201": 2, "userwarn": 2, "figurecanvasagg": 2, "thu": 2, "put": 2, "closest": 2, "largest": 2, "deviat": [2, 4], "suggest": [2, 4], "least": 2, "establish": 2, "otherwis": 2, "qualit": 2, "driven": 2, "might": [2, 3, 4], "nuanc": [2, 3, 4], "especi": [2, 3, 4], "those": [2, 3, 4], "primarili": 2, "level": [2, 3, 4], "granular": [2, 3], "address": [2, 3, 4], "altern": [2, 3], "fall": 2, "judg": 2, "themselv": 2, "act": 2, "step": [2, 4], "fluenci": 2, "interpret": 2, "refin": 2, "centric": 2, "flow": [2, 3], "express": [2, 4], "plain": 2, "ad": 2, "pydant": 2, "basemodel": [2, 4], "class": [2, 3, 4], "judgeevalu": 2, "expertis": 2, "evaluate_with_llm": 2, "judge_model": 2, "candidate_summari": 2, "candid": 2, "specifi": [2, 3, 4], "wa": [2, 4], "written": 2, "grammat": 2, "y": 2, "z": 2, "w": [2, 3], "beta": [2, 4], "pars": [2, 4], "response_format": [2, 4], "benchmark_model": 2, "test_model": 2, "input_text": [2, 3], "tupl": 2, "iphon": [2, 4], "mac": [2, 4], "ipad": [2, 4], "incorpor": 2, "regard": 2, "regist": 2, "approxim": [2, 4], "6": [2, 3, 4], "trillion": [2, 4], "held": [2, 4], "affili": [2, 4], "15": [2, 4], "billion": 2, "outstand": [2, 4], "octob": [2, 4], "18": [2, 4], "7": [2, 3], "8": [2, 3], "evals_list": 2, "1775618912": 2, "14": [2, 4], "difficulti": 2, "own": [2, 3], "overhead": 2, "infer": 2, "rational": 2, "effici": [2, 3, 4], "replac": 2, "significantli": [2, 3], "improv": [2, 3, 4], "domain": 2, "assessor": 2, "resourc": [2, 3], "intens": [2, 4], "standardis": 2, "varieti": 2, "some": [2, 3, 4], "popular": 2, "glue": 2, "collect": [2, 3], "entail": 2, "holist": 2, "view": 2, "superglu": 2, "successor": 2, "push": 2, "boundari": 2, "big": 2, "bench": 2, "collabor": 2, "encompass": 2, "sens": 2, "helm": 2, "flask": 2, "multitask": 2, "mmlu": 2, "57": 2, "social": 2, "scienc": 2, "humanev": 2, "livebench": 2, "mitig": [2, 3, 4], "releas": [2, 4], "monthli": 2, "leak": 2, "incorrect": 2, "ambigu": 2, "rememb": 2, "jason": 2, "wei": 2, "yi": [2, 4], "tai": 2, "rishi": 2, "bommasani": 2, "colin": 2, "raffel": 2, "barret": 2, "zoph": 2, "sebastian": 2, "borgeaud": 2, "dani": 2, "yogatama": 2, "maarten": 2, "bosma": 2, "denni": 2, "zhou": 2, "donald": 2, "metzler": 2, "ed": 2, "h": 2, "chi": 2, "tatsunori": 2, "hashimoto": 2, "oriol": 2, "vinyal": 2, "perci": 2, "liang": 2, "jeff": 2, "dean": 2, "william": 2, "fedu": 2, "2022": 2, "url": [2, 4], "arxiv": [2, 4], "org": [2, 4], "ab": [2, 4], "2206": 2, "07682": 2, "who": 3, "go": [3, 4], "far": 3, "possibli": 3, "find": [3, 4], "eliot": 3, "english": 3, "rule": 3, "thumb": 3, "\u00be": 3, "max_output_token": 3, "modern": 3, "maximum": 3, "4096": 3, "16384": 3, "contrari": 3, "summar": 3, "surpass": 3, "instead": [3, 4], "stop": 3, "mid": 3, "truncat": 3, "max_input_token": 3, "input_cost_per_token": 3, "output_cost_per_token": 3, "meta": 3, "llama3": 3, "11b": 3, "instruct": [3, 4], "v1": 3, "128000": 3, "5e": 3, "sonnet": 3, "20241022": 3, "8192": 3, "200000": 3, "3e": 3, "0613": 3, "6e": 3, "04": 3, "09": 3, "1e": 3, "gemini": 3, "flash": 3, "002": 3, "1048576": 3, "pro": 3, "2097152": 3, "05e": 3, "pose": [3, 4], "incomplet": 3, "extens": [3, 4], "articl": 3, "abruptli": 3, "cut": 3, "off": [3, 4], "disrupt": 3, "shallow": 3, "thorough": 3, "receiv": 3, "partial": 3, "dissatisfact": 3, "frustrat": 3, "educ": 3, "tool": 3, "creation": 3, "feasibl": 3, "split": 3, "previou": 3, "10k": 3, "sec": [3, 4], "schemat": 3, "represent": 3, "diagram": 3, "charactertextsplitt": 3, "tiktoken": 3, "sequenti": 3, "chain": 3, "newlin": 3, "There": 3, "situat": 3, "broadli": [3, 4], "decid": 3, "sure": 3, "lost": 3, "path": 3, "mani": [3, 4], "cheap": 3, "speciali": 3, "awar": 3, "advantag": [3, 4], "sophist": 3, "naiv": 3, "period": 3, "nltk": 3, "spaci": 3, "recurs": 3, "divid": 3, "hierarch": 3, "manner": [3, 4], "your": [3, 4], "made": [3, 4], "talk": 3, "theme": 3, "topic": [3, 4], "langchain": 3, "count": 3, "get_chunk": 3, "chunk_siz": 3, "chunk_overlap": 3, "langchain_text_splitt": 3, "text_splitt": 3, "from_tiktoken_encod": 3, "split_text": 3, "serv": [3, 4], "persona": 3, "assum": 3, "background": 3, "task": [3, 4], "action": 3, "actual": [3, 4], "langchain_cor": [3, 4], "prompttempl": 3, "get_base_prompt_templ": 3, "base_prompt": 3, "from_templ": 3, "llmchain": 3, "togeth": 3, "parser": [3, 4], "output_pars": 3, "stroutputpars": 3, "langchain_commun": 3, "chat_model": 3, "chatlitellm": 3, "get_llm_chain": 3, "prompt_templ": [3, 4], "llm_chain": [3, 4], "api_key_label": 3, "upper": 3, "_api_kei": 3, "api_kei": 3, "get_dynamic_prompt_templ": 3, "get_dynamic_prompt_param": 3, "prompt_param": 3, "part_idx": 3, "total_part": 3, "chat_context": 3, "origin": [3, 4], "part": [3, 4], "total": [3, 4], "param": 3, "dynamic_prompt_param": 3, "copi": 3, "save": 3, "introduct": 3, "elif": 3, "last": [3, 4], "second": 3, "main": [3, 4], "els": 3, "merg": 3, "concaten": 3, "generate_report": 3, "input_cont": 3, "llm_model_nam": 3, "report_part": 3, "num_part": 3, "len": 3, "dinam": 3, "priovid": 3, "enumer": 3, "invok": [3, 4], "cummul": 3, "join": 3, "sampl": [3, 4], "max_chunk_s": 3, "max_chunk_overlap": 3, "latest": [3, 4], "readabl": 3, "move": 3, "local": [3, 4], "apple_report": 3, "300": 3, "posit": [3, 4], "disclos": 3, "state": 3, "luation": 3, "oblig": 3, "cash": 3, "disciplin": 3, "deeper": 3, "few": [3, 4], "smooth": 3, "upon": 3, "head": 3, "subhead": 3, "clariti": 3, "document": [3, 4], "adher": [3, 4], "revenu": [3, 4], "segment": [3, 4], "profit": [3, 4], "liquid": 3, "capit": [3, 4], "inclus": 3, "despit": [3, 4], "depth": 3, "human": [3, 4], "overlook": 3, "fit": 3, "within": [3, 4], "meaning": [3, 4], "preserv": 3, "easier": [3, 4], "preprocess": 3, "enhanc": 3, "necessit": 3, "meticul": 3, "retain": 3, "necessari": 3, "seamlessli": 3, "circumv": 3, "therebi": 3, "contribut": 3, "overal": [3, 4], "escal": 3, "frequenc": 3, "volum": 3, "bottleneck": 3, "latenc": 3, "reduc": 3, "friendli": 3, "mustafa": 3, "suleyman": 3, "infinit": 3, "memori": 3, "amount": [3, 4], "fewer": 3, "compress": 3, "progress": 3, "condens": 3, "adapt": 3, "adjust": [3, 4], "flexibl": [3, 4], "constrain": [3, 4], "versatil": 3, "drive": 3, "grace": 3, "fallback": 3, "empow": 3, "crucial": [3, 4], "stai": 3, "full": [3, 4], "splitter": 3, "freedom": 4, "thrive": 4, "julia": 4, "b": 4, "cameron": 4, "excel": 4, "easili": 4, "sometim": 4, "unstructur": 4, "notebook": 4, "overrid": 4, "response_cont": 4, "wow": 4, "lot": 4, "breakdown": 4, "stream": 4, "portfolio": 4, "impress": 4, "trend": 4, "notic": 4, "march": 4, "29": 4, "huge": 4, "investor": 4, "figur": 4, "compli": 4, "ye": 4, "accur": 4, "date": 4, "transpar": 4, "industri": 4, "serious": 4, "is_json": 4, "myjson": 4, "except": 4, "valueerror": 4, "clearli": 4, "obtain": 4, "lack": 4, "emploi": 4, "schema": 4, "guidanc": 4, "blueprint": 4, "achiev": 4, "nativ": 4, "regular": 4, "dedic": 4, "json_format": 4, "person1": 4, "alic": 4, "q1": 4, "20": 4, "person2": 4, "bob": 4, "net": 4, "margin": 4, "materi": 4, "though": 4, "suffici": 4, "nest": 4, "restrict": 4, "todai": 4, "programmat": 4, "depict": 4, "thellm": 4, "conceptu": 4, "via": 4, "unend": 4, "whitespac": 4, "until": 4, "forget": 4, "throw": 4, "string": 4, "appear": 4, "somewher": 4, "json_object": 4, "628": 4, "553": 4, "000": 4, "sheer": 4, "mention": 4, "115": 4, "823": 4, "circul": 4, "plai": 4, "googl": 4, "vertex": 4, "suppli": 4, "so": 4, "worri": 4, "enum": 4, "benefit": 4, "No": 4, "incorrectli": 4, "refus": 4, "simpler": 4, "strongli": 4, "entiti": 4, "ii": 4, "place": 4, "doc": 4, "07": 4, "08": 4, "06": 4, "later": 4, "secextract": 4, "mentioned_ent": 4, "mentioned_plac": 4, "extract_from_sec_fil": 4, "sec_filing_text": 4, "explan": 4, "hint": 4, "send": 4, "attribut": 4, "conform": 4, "prompt_extract": 4, "sec_extract": 4, "nasdaq": 4, "llc": 4, "washington": 4, "d": 4, "c": 4, "cupertino": 4, "usabl": 4, "beg": 4, "abstract": 4, "with_structured_output": 4, "runnabl": 4, "typeddict": 4, "qu": 4, "langchain_openai": 4, "chatopenai": 4, "chatprompttempl": 4, "extract_from_sec_filing_langchain": 4, "structured_llm": 4, "from_messag": 4, "sec_extraction_langchain": 4, "found": 4, "out24": 4, "under": 4, "hood": 4, "logit": 4, "raw": 4, "neural": 4, "network": 4, "prefer": 4, "fine": 4, "grain": 4, "regex": 4, "major": 4, "proprietari": 4, "vllm": 4, "qwen2": 4, "5b": 4, "lightweight": 4, "alibaba": 4, "cloud": 4, "strong": 4, "small": 4, "enough": 4, "hug": 4, "qwen": 4, "top": 4, "100": 4, "label": 4, "assist": 4, "neg": 4, "unexpect": 4, "malform": 4, "back": 4, "pass": 4, "modul": 4, "sec_extraction_outlin": 4, "zsp": 4, "zicorp": 4, "phenomenon": 4, "were": 4, "tune": 4, "simplic": 4, "v": 4, "greater": 4, "steeper": 4, "curv": 4, "wrapper": 4, "wider": 4, "structuredoutputpars": 4, "done": 4, "know": 4, "exactli": 4, "field": 4, "chanc": 4, "connect": 4, "highli": 4, "encourag": 4, "correctli": 4, "xml": 4, "area": 4, "me": 4, "speak": 4, "freeli": 4, "studi": 4, "twt": 4, "24": 4, "impos": 4, "evid": 4, "aid24": 4, "degrad": 4, "decod": 4, "multi": 4, "thought": 4, "strict": 4, "hinder": 4, "outweigh": 4, "team": 4, "rebutt": 4, "argu": 4, "reproduct": 4, "paper": 4, "paint": 4, "pictur": 4, "publicli": 4, "independ": 4, "verif": 4, "dot24": 4, "flaw": 4, "believ": 4, "led": 4, "inaccur": 4, "reconcil": 4, "uneven": 4, "didn": 4, "properli": 4, "conflat": 4, "argument": 4, "trade": 4, "surround": 4, "drawback": 4, "unlock": 4, "thank": 4, "pfiffer": 4, "hi": 4, "feedback": 4, "aider": 4, "html": 4, "dottxt": 4, "sai": 4, "demo": 4, "tree": 4, "safe": 4, "io": 4, "zhi": 4, "rui": 4, "tam": 4, "cheng": 4, "kuang": 4, "wu": 4, "lin": 4, "tsai": 4, "chieh": 4, "yen": 4, "hung": 4, "lee": 4, "yun": 4, "nung": 4, "chen": 4, "2408": 4, "02442": 4}, "objects": {}, "objtypes": {}, "objnames": {}, "titleterms": {"introduct": [0, 1], "content": [0, 2, 3, 4], "core": 0, "challeng": [0, 2, 4], "we": 0, "ll": 0, "address": 0, "A": [0, 1, 4], "practic": [0, 4], "approach": 0, "note": 0, "perspect": 0, "who": 0, "thi": 0, "book": 0, "i": 0, "For": 0, "outcom": 0, "prerequisit": 0, "set": 0, "up": 0, "your": 0, "environ": 0, "1": [0, 1, 3], "python": 0, "setup": 0, "2": [0, 1, 3], "api": [0, 4], "kei": [0, 2, 3], "configur": 0, "3": [0, 1, 3], "code": [0, 1], "repositori": 0, "troubleshoot": 0, "common": 0, "issu": 0, "tame": 1, "larg": 1, "languag": 1, "model": [1, 2, 3, 4], "chapter": 1, "non": [1, 2], "determin": 1, "eval": [1, 2], "wrestl": [1, 4], "structur": [1, 4], "output": [1, 3, 4], "4": [1, 3], "hallucin": 1, "The": [1, 2, 4], "realiti": 1, "gap": 1, "5": 1, "cost": [1, 3], "factor": 1, "6": 1, "safeti": 1, "concern": 1, "7": 1, "size": [1, 3], "length": [1, 3], "limit": [1, 3], "8": 1, "break": 1, "free": 1, "from": 1, "cloud": 1, "provid": [1, 4], "appendix": 1, "exampl": [1, 2, 3, 4], "b": 1, "tool": [1, 2, 4], "resourc": 1, "evalu": 2, "llm": [2, 4], "base": [2, 3], "applic": 2, "determinist": 2, "machin": 2, "temperatur": 2, "sampl": 2, "spectrum": 2, "emerg": 2, "properti": 2, "problem": [2, 3, 4], "statement": [2, 3, 4], "tradit": 2, "softwar": 2, "v": 2, "design": 2, "conceptu": 2, "overview": 2, "consider": [2, 3], "compon": 2, "metric": 2, "gener": [2, 3, 4], "task": 2, "bleu": 2, "roug": 2, "sec": 2, "file": 2, "summar": 2, "human": 2, "leaderboard": 2, "refer": [2, 3, 4], "what": 3, "ar": 3, "token": 3, "comparison": 3, "across": 3, "chunk": 3, "contextu": 3, "link": 3, "long": 3, "form": 3, "step": 3, "write": 3, "prompt": [3, 4], "templat": 3, "construct": 3, "dynam": 3, "paramet": 3, "report": 3, "usag": 3, "discuss": [3, 4], "implic": 3, "futur": 3, "conclus": [3, 4], "solut": 4, "strategi": 4, "techniqu": 4, "One": 4, "shot": 4, "specif": 4, "json": 4, "mode": 4, "langchain": 4, "outlin": 4, "simpl": 4, "multipl": 4, "choic": 4, "pydant": 4, "compar": 4, "best": 4, "ongo": 4, "debat": 4, "acknowledg": 4}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 8, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 57}, "alltitles": {"Introduction": [[0, "introduction"]], "Contents": [[0, "contents"], [2, "contents"], [3, "contents"], [4, "contents"]], "Core Challenges We\u2019ll Address": [[0, "core-challenges-we-ll-address"]], "A Practical Approach": [[0, "a-practical-approach"]], "A Note on Perspective": [[0, "a-note-on-perspective"]], "Who This Book Is For": [[0, "who-this-book-is-for"]], "Outcomes": [[0, "outcomes"]], "Prerequisites": [[0, "prerequisites"]], "Setting Up Your Environment": [[0, "setting-up-your-environment"]], "1. Python Environment Setup": [[0, "python-environment-setup"]], "2. API Keys Configuration": [[0, "api-keys-configuration"]], "3. Code Repository": [[0, "code-repository"]], "Troubleshooting Common Issues": [[0, "troubleshooting-common-issues"]], "Taming Large Language Models": [[1, "taming-large-language-models"]], "Chapter 1: Introduction": [[1, "chapter-1-introduction"]], "Chapter 2: Non-determinism & Evals": [[1, "chapter-2-non-determinism-evals"]], "Chapter 3: Wrestling with Structured Output": [[1, "chapter-3-wrestling-with-structured-output"]], "Chapter 4: Hallucination: The Reality Gap": [[1, "chapter-4-hallucination-the-reality-gap"]], "Chapter 5: The Cost Factor": [[1, "chapter-5-the-cost-factor"]], "Chapter 6: Safety Concerns": [[1, "chapter-6-safety-concerns"]], "Chapter 7: Size and Length Limitations": [[1, "chapter-7-size-and-length-limitations"]], "Chapter 8: Breaking Free from Cloud Providers": [[1, "chapter-8-breaking-free-from-cloud-providers"]], "Appendix A: Code Examples": [[1, "appendix-a-code-examples"]], "Appendix B: Tools and Resources": [[1, "appendix-b-tools-and-resources"]], "Challenges of Evaluating LLM-based Applications": [[2, "challenges-of-evaluating-llm-based-applications"]], "Non-Deterministic Machines": [[2, "non-deterministic-machines"]], "Temperature and Sampling": [[2, "temperature-and-sampling"]], "The Temperature Spectrum": [[2, "the-temperature-spectrum"]], "Emerging Properties": [[2, "emerging-properties"]], "Problem Statement": [[2, "problem-statement"], [3, "problem-statement"], [4, "problem-statement"]], "Evals of Traditional Software vs LLMs": [[2, "evals-table"]], "Evals Design": [[2, "evals-design"]], "Conceptual Overview": [[2, "conceptual-overview"]], "Design Considerations": [[2, "design-considerations"]], "Key Components": [[2, "key-components"]], "Metrics": [[2, "metrics"]], "Key Metrics for Evaluating Generative Tasks": [[2, "key-metrics"]], "Example: BLEU and ROUGE for SEC Filing Summarization": [[2, "example-bleu-and-rouge-for-sec-filing-summarization"]], "Considerations": [[2, "considerations"]], "Evaluators": [[2, "evaluators"]], "Model-Based Evaluation": [[2, "model-based-evaluation"]], "Human-Based Evaluation": [[2, "human-based-evaluation"]], "Leaderboard": [[2, "leaderboard"]], "Tools": [[2, "tools"]], "References": [[2, "references"], [3, "references"], [4, "references"]], "Output Size Limitations": [[3, "output-size-limitations"]], "What are Token Limits?": [[3, "what-are-token-limits"]], "Token Cost and Length Limitation Comparison Across Key Models": [[3, "token-cost-table"]], "Content Chunking with Contextual Linking": [[3, "content-chunking-with-contextual-linking"]], "Generating long-form content": [[3, "generating-long-form-content"]], "Step 1: Chunking the Content": [[3, "step-1-chunking-the-content"]], "Step 2: Writing the Base Prompt Template": [[3, "step-2-writing-the-base-prompt-template"]], "Step 3: Constructing Dynamic Prompt Parameters": [[3, "step-3-constructing-dynamic-prompt-parameters"]], "Step 4: Generating the Report": [[3, "step-4-generating-the-report"]], "Example Usage": [[3, "example-usage"]], "Discussion": [[3, "discussion"], [4, "discussion"]], "Implications": [[3, "implications"]], "Future Considerations": [[3, "future-considerations"]], "Conclusion": [[3, "conclusion"], [4, "conclusion"]], "Wrestling with Structured Output": [[4, "wrestling-with-structured-output"]], "The Structured Output Challenges": [[4, "the-structured-output-challenges"]], "Solutions": [[4, "solutions"]], "Strategies": [[4, "strategies"]], "Techniques and Tools": [[4, "techniques-and-tools"]], "One-Shot Prompts": [[4, "one-shot-prompts"]], "Structured Output with Provider-Specific APIs": [[4, "structured-output-with-provider-specific-apis"]], "JSON Mode": [[4, "json-mode"]], "LangChain": [[4, "langchain"]], "Outlines": [[4, "outlines"]], "A Simple Example: Multiple Choice Generation": [[4, "a-simple-example-multiple-choice-generation"]], "Pydantic model": [[4, "pydantic-model"]], "Comparing Solutions": [[4, "comparing-solutions"]], "Best Practices": [[4, "best-practices"]], "Ongoing Debate on LLMs Structured Output": [[4, "ongoing-debate-on-llms-structured-output"]], "Acknowledgements": [[4, "acknowledgements"]]}, "indexentries": {}}) \ No newline at end of file diff --git a/tamingllms/_build/jupyter_execute/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png b/tamingllms/_build/jupyter_execute/a49bcd9c801d9b420b188b13fe009f1b93a733780c10a27b655fc7cd475d16a9.png new file mode 100644 index 0000000000000000000000000000000000000000..d70df47d79accc82cbfdf45390efa937a3646b3b GIT binary patch literal 63551 zcmb@ucRZK<`#x?Y5|N6CN+l^F*{hO<(V((tWrghQQK3OY_K1?vuoWUZls(GcTlOa8 zdtAEj&-?xP{q=qPe!s`#?!NEp<#k=x^Lakc^Ei*=IIl;SFP@{NW}zk_A)%E$FQY_4 zLS8{aLb^<~5r4w`jS+u9B5HF+)#i%1fsLJ>l|IP@JsS&Ca~o6R>wE9$TUi^M-#*SG z%EQmS*T}}k!di@%*X(~jz+-M@$jg3_ycu7z$>O}4H3p+Zx?wSxabo`Hc{r>1^r=+O(-{>m-M0_6$` zR|PaPGh!b-79l-#^S;l_(yFCvc+#Q0LwA>1?N20*Xm*5KKU)yBn*CB`IP9-P&F(=j zO-1~x??#L*>EHjw??qqabN~A{+fS0E{qrFzMUqVw|9(h@^Z?)He}A6h`TwgQSTJr* z)gQ7Ei;9Z+$a7}>MuMMjFktsM6dQ8fFx8-vC87N9we@A<{FT(1aJ|6%;$qLzJ#OLp z<$?X#CxnHAMn_FY$Hr=hZCbW-uHUu7MfG4$`Y0+nE`EOg$8Du8Ei9Cjl$*-eZ@u3K z7mx|bw(6%o{a{ORX(^?Xlhd!pq-x<#XY!M0&u+B+_2c!$mtsrzZb?g%UHhQSao~VQ zTbm|{wtY8+rl#gYAD?K$>Ie~W@!r9~(vQaVnK?5)+DU_H)lzRmM+U#6hkFZ{PW@cs*I=650 zq_i%KffY8jL-6uoyYFsqf12 zXY0!U(HW+>I{use(~>mN6V+vM^zk(S)6Os8E(zsmE-E^?R}CF zA?ftO-~a3D(+^1OCvq0v>f}kC_M*}I@mA4hw8{6_jgsy59kp-H?aG)@PfSZqZTjMH zoCJ4XSXudGyghp`+hAs(68Fi@&CT7pbno81q2{zf$rG2bJR}WCI+yO;xpQ~f|Kq{+ zv!yuy_a?p;7yAYWf9omsR{LUad3RYe`wlIMxVU)k(!ehDbkj%o?~}_1@f@{KI(p>D zk$d;=&$O##-!UWU4emK^SoPfB-y$T-18# z$GdIh8)>?l4I_&?I{rl5Vpu;Z`j>F>qbi2x97!Ua#znnon3cMup0Eh=-!^Z{-0EIY zp-_b%u0Exl)Yv;VRyo~YzS+60y!=RK_0y+M7i?Zih`oHOn}B@8Pf6a@Ngu`uAg~-Nu-sB{Js7Co*zCO`TY5_%}7JSHA3k zQL8?xA}`wB#i`!R&!78SFC{f@V`ersy|(e;!-pg^$F=Y4StVA63D+lTWiL|~acBv> zM|k6hy_k<1O!huI!EaQvS2X6D9t+h=Z#bf2asRc*J`IkIYTw?EFk=}M26W(IGVn8-IKYLVJc zf9L#OS=qn3(3#iU6dumXux*?7wY;=6>y-H%%ia>Ua&ZmeUpC$1iA zP#JngRdr{AMuq{-(vJ@+&pbRfY+)1oI#3xVd;Yxc@7ZBiQ7ez58tGlXe#zlj*)O!) zg-AH?KRfY9B*$q%D5AQc;4bYhAwC=k^^Dtd47JrthH5RZn*v&n}|i% zzd_zo!)2?HcZ%I3nV$E{Bw60d^yYW(-l+%eThF;=?94^~7nSfP&3~0hV?D-yYb5pF zyK3tZj(;6;Ckor&Y8FMpfCBaRQxD0`>;7N-fRH-VUJv@%SpR)Tj(Gd~Z&y-MI)C8; z2X^wV^b9@*LA%F4>B8X7nB^*wWPBoh-8Gcz-HuGv^wNypV2ug;;V#%1fEh{T)=h2HeCW()ax3IM>{`qqUCnx8P zy;a$4l8)QYojZ5y$J@I~)H&LhP)vl)I|L$*i;K6~^Dr?n-FR4)y|lR4H8^+tR5bIDVEsJM08b_#wi`zYY_>ii148^6yJscV8$rIY#+*~^kB^@0d2?>d5 z&nArwHdfZhH1W;N%_~cTk+b9NyEHUf$riZYeiAbmM@egHY9b?dLCwaVmpGD>k-gQ* zzLTpFBNreyqQ7H(eHUc2Zf<5T^H6$>{5Um{w>Gf3Wb4+gnwb`)l#~ygPw^i(@U=;9 z1b5qC7Lbx!XV5}{w0c-2Q31dAcJWbq+}GFV%r18L@MGfC7}p=%w{Ksj>#7)H)Xrmw za*y+K^-s6-ZtP!^Sw}-gvIO=x80WtaKXIRuj>Q~7xbN68UlzezZCmM08WW!&@DFMQ zdDj|3{mS5QbypRuP%ymmVZ{3#0xF0 ztoUhJ1impX;`==A-@o6$G5AJbmq!8n5O*oEY9VyDlyflP3XAaV@Cm^LoxEHRBO>e` zD(yooD(;ixLeeg3NYHqafjq||WE#x-P0+NdX0*`qRK+nqrUL*}$f@GeA1}uBzJ9Pf z>Pp;2n_oX3Ay3J=ug59hRw7&PAYz$JbcpX3 zN41**#G_|nDZ`yUdiIQ0m~`n*AZxI>%2oIAmQP1qe$T$XGuEOW#Dzx-_E&lw9J~`b z_Y=<XBU?Vu?J7FavS8hfaQvj%~Z4R9Ccb4k8zk8nEmzByXvKQ&nslTYb{Uv}40p4O9mSjB{My+I5|JhQ#<`kS~Jh} zB_c-=sBT}jp}a0*6xsK0-*i`h&#fRsuK=DjwYJu0nCtwWACu3x-ELuJRhRXZU&WVf zCc(p`N@uP!ePKH`kXFE5uLVL*&M%r2{_=)*C*nxvi6Ht)49X8->E z_usxf1ZeU&{B6T~8WRR-qrHfWytO}JKs`MpBjwSuepJ-d*HM!-a~uOu6l#)m@~D{u zkMNtAnBehC+g}zjVSkA|lcD9nR-hEm>hxMWy1^ zm%jPjGNRG`J>Puyf0=90*sx*4B!EIMYMznNAw;%8i4XI~+wCkzjx2GW-1#G3&970% z?d3~xJFDNb#t6Q06#L1kscz&6!}{0@IJ8Duu|$fM33+j;T-tv>6R-BohIlmr)28Q$ zoULqZmH2|npC430#O-(z)IYs2*DcnfprANrTzBANgv575?Bw+HbwI_dAC#XE7sF}Z z_r`(9o|Y%XY=3=iO1a^k<97AxcHo@-=brkjU!cHKczBkVm0d^juoTuf{akhCBYnrq5Jl5zq|ZEdZ9QO&FEAF})qiriOk z-aOD-`YaB~Ng-6=(Stp%!Nhe2Bi#rngg)jYkD~wnhK2@UttY_yTX*d$2V_`6EKMye z7~-)(gY8*x*4A(ACOQO+>pY6R znfw9+V{IQ1F(LWrVwrB^XZt8W{<1ztE-o$_76B?lL&NvV2?Sc5w!N09og;=Pmm<0l z;Q7VnY3fvbK?DtwAX+Ac(;L)vU6(j$u430KTCsClau-1 zzppO|Qu=m>DrBvw`eC9)186Kpi^ijsWii$w_~-Ws@2`dgdDIj8`DVkJ3kMyYf<}M+ z{BYcQK*4JZ+hd?rQc_ZG?JrG>nKs`UrMLeod9te_LNW}ie$08%0&yvi_#i+yUbl<_PA8F%)=>m-sG)xoyT@C1 zf2C-{e*eY!)$v0umA}IbgGOW8*A|DpP$7?HtC&F>;6B~Ih@Fy!$9cM%=AsbZG#mF0Xd=bSC z^kK(}tEw)J)RlRqZ9sVkA8wqi% z+YTypwSBfO2^=K|i{xa!4%g)|>1rb1pMAnYk>6^bSBZ$G+Pt~9fN~G_bW4nEXp9Hn zX(DSP+n_xYYs<8}k9#6^^~xnl4!vfXeOt_8utd`bX&Z-M>Gy2J?|**ek&mk%wjX-^ zKsDt$g|DwK(MV|LIM$}zIES`(Z*Mq}=+~H-nPu>fcy|S8t0v3Vq}L_jh{^!&S3rBB z`@tTehz!skOHa*zy!Ewg1)ajl8Ry)d>*DO3d1p-hwQZ*>2#yCyNfTPnxXkJbxjmSP z?r)FtBq?HsNUtl18}!bnM^ejTwrRM<%$prC9k#Jp{jtTULDny{Y?qsx8_-8FVwmVf zh;_m70-+Fr9CF>vEMYxsl(C=FFu_KvMcugmf`3@ZY1eO!+{RCJ1p~rjJtG5`qfAUH zvDrFDQsd${2diH02RuWSXPIamnIplIZO?9<0h@57PDv2n#nZrU6F_nluP>NJvV)yArph^x2+46x9-qJlEBsw$I1UJ!O53_4|>a z5d?rgKi+O4(Kt8KC<;<%?$=Lp8Xd2}m%@B}$xYQiU&wAwqi3ldnM3vQ0!(GV(KSiR zDM1EA4z0=hXl2&jkT%*pd;HDl)7O+X)HgClclH;Ix@oF4U48cQiF2gUt&0~ge);|D zgAc3d3p6OcYH0??^vkv*O_ri9UB@W|+S$=`;o(Oa8Nyd$6$;AA4(m*Ap`#mo^Gxb`zB{Rhmscu!**}ZDbiKVO0EXx- zKbkadadKKFJ0UM7BGQ)Pnu4Cled-S$yEf0w&5LeNRgjMBBV=z>$Wp+PKdZ|@g-3Lm z`?kHN*XK?;^BD!vhxxcy!F@{W?m~(Vhe5VYz!J$gRLHChNrmXmC7u2xl`q9b zx)PuW-PIf8`q+hQmpWw92taJsnhvfC*PIwStmQl8Uy;90CZsvf?F6235b0PUT*OyJ z+kxU-Y3dT?=O~TLIqp4XB9#Zi_Uybp!f*{c;!kt>z8)QVIY%n^ zOF*ytl|fyd=0<;|ce(iJkZg9W5N-C|Oqd4rq z;La7P(XoW^>5+Z9^|J>Df>qMdA5qft)N|;}aM|W^lFo+qXDaF&L^4k&(NRm~SMK>; zL8|+4jzzsC+^;5{6kYhA<<2z*o_vxvU!|3gGq*MmLTup@DFiETC-8FyGUfZq|$4k6rJql)Kwl0y~|)J$k@% z^q54A^~OwlCRg42cWWj$*&Gglc=RLB2k9(9?!4LrM&1L?8%3Gve~^aK zWG!!UbR!E`u~f*(kF*uKZhnK~wc6=FfBpbx1)~%e78br$N!pFwJ3A1+oj~};e)-&A zUE~xL`hKeD5Oh80O{-r&xHfKKJ#>8K)&U*WaqX~U*S1LaDJNUHOGU1l*Y-z=WEHue zAz6I6`bZ}`_Pmi0Ik2BT3WLH+u>jxw=juMF@FK;cuoA>Ye=sohxUY7SAp{EoCV;vi za8*Ufamzb*8nQl8k33CoDg{$MV()NS&|*BQ{?&_impwM;6Ba6a zKet^1#jb-V&yp<)csy5;cdbjDxTm6ZKKpE|-$dF?3+qjl28BgM_p48=g#+EB*p4Uz zyp|{B{W;wJk$~}fNUSlDN$ZQq zrUufDJfuf77VRY2>V#AJmKYgAE6@8KywLR7niJ)(_r%%~9oWYKpg8p)4&nit>JbR)Ju!~10H{Mo_ z2%2|UK_pq%i>V=_fcriaFcZW{EKeZ-u2Eg|rfj>30kG9RyM(u(qfIDh*uFI|iS?f3 zX4+O4gZnwuquv2_?a%k08Pu%pN%pR;<36O$5|(K5XKF z5Upwe$a`;~6O~w*ED{kDV_;>ifZX+BLK7$?4g?(jOzE?gKJlDNSFTK`n;RoNd^Ni> z(Q$!@nolN7lytlMuxI|t`p1=wR5v!Ikz9Xz|GxO_@BCRN^A(yOW1D}os;=_iG{lj$ zhU!BF&OX1jH4M2u8G??n8Kd;W>5E)N&IdVi#x%$x1>Mb;S^l(TME4CI>Rvnc|5vY6 z{5~mqFs~g_oA=9?Y-mZGp;DAAcLFIO>wJU!L#!OCpFrHjmt=d79(@AUsHeNT08m5i z)2$sSQU+Kzj;!=|O-5GN*efnyytoAmtq(l#Wue3A%T&oO2LDP0Up>)o36E8`^W&oA znqMyHxL>4n87Pc#pGj*c$ys747v2czf% zaM5Dni|gyJtd}HzuTh)eVLP|M%Z`gP7m5-N9Mq=B?zuo6_Toh$o~9hK!g)f{IL$XV zQ?BC##%bpXR|yg*c?TsV(5np8AWpx0`9gBK`tW~uMkY^LMU_V5uDqCGiiQeED2sM& zYpCvgrcHb#9d2tb(x*=^0qYYOo@l^ALPDG&Wt42XGguvYsWaDQX|jlJYHEthl5OF% zROKd8&0OaYG~&sQbGLv}%Qeh%(EU_wXATUwH+O@bll-38NxxGuDi5voht}4#UeEK~ zv(_W2t1~5?Ru8ikW4jP4z%C)7Ir0L@>8dVTqML?>_3y78>2@Fz*P^3dWX5fKMD`80~j+1Wm9LN8KC+_`7Fzo1^OEaa^fm&yHkidx#1 zY|H;~Hc)2znrcm1O=|c#L)xTKPdN^wgml}(&9?G)BO`Tkm2Y0UbO}AlIS>z^TLn9k z8h1r}KvO`FXno&&C6@a9ma4AoJaXiNxR;2&pDqn(MWn3&wzjcg6H{uyjr3N zee2Tik)-nCu&ghiO;j&>KX|f@ww0~Zt4y#gHhH}MmDPpwpF@+f13wCcod6OGK6axi z-E5bR%iIpS6DxdBgVqZ};Z+;4(-}iA+TQ=TmupSS&P?Mrzgl78CR=so9`6_k?37QR zDusDOz~+N?c3vKX82U64`k%>4Gn6VY*}c_5LPCJh_4YHfv(adYSx>lzgKyhu4yNo4 zpdA4&ZvA|Z9wB5xWY?}RvT8c7#1>?srST)ODicu=R{*I+9cK?28ylCD78Mnxq^8#0 zWYFGJ5hX1K#5&fRK{O4lA{Oqa?#rcYPRca2qb(=-r_>6>2WcvghIiK%d#zo*v_f5~ z%)IACjVZJGMsopooqR7e!-k;^4v$FUh&2>1A z90hV&1irE#jtK%5khYWmw~qnPxQ7HxXmZ+4V}k$F$9(37q>5ePE!B$7 zMY~LWiP8CoB3^EG?qQ;iSwH7|k5w9sg0Ub@8%zz!R{e4pa*GMggCB`6{DfP?t5>g_ z+3S^JVq&@{CaTfXmC5tw$e=JYi{FX2)H2W$D_(8)y<`?8{qWhdICK@GO)2+_9?;3F z3f(BCCZG?kUh`2Bu}g=GsLgMfkv}^sq%dvinyoi5s&QUEt>36AnH_PFUtRqS<-iKS z68nhjSN%VlqFz3tCYfl4eA|Cl&EKi?Dcc)#zsP-_z}k=iKJv(Jk809eDr0X-t4VG* z6l%)$SM>CJt67vhe|%?y!BfeQ3B65~fkn;DA^qh+$8Y^O)RJLd4N`2}^*OynbX&?lizeUp(QAIN z@!76Gdw$AF9S?O$_JxD-uFO`q2b@%;)B0e{ zD{I??Lz~sRn&DTSgI!mduRq(B<3}T*~^a~ z1tJ`OapnI0b%YRsZakBWwUv#c;-D_yG{`=>cG{|%xvNKOW*q>OllEsvlG6NaKeZ1@ic?4^5aJEN>EgO)4k@ZC zQ#U;G45ukF{c)kfW^6Re<<+pY`#s#N!8BX;d82f0Fm(pdXb1rhL6C};;NLrjQc?B< zTv}bKzB~*hvLF;-(?JS*d^zfW*Q(7QKmQWk+(ynmyw7x}P8SbD=uz*4grn#=d+*ap zbpdzkp(*;C{2uZ{@%G;gbQ6ojOb9syE<&m@)_QSB`caXUx`b)CQPcQhx}NeaYlDef zs<-3}Db58Jeg8x;e(-hkG|e8VaNCiFsTPx@DUgd%{&oK>#J)`xg*^$XDfbYp1lix= zJafTjpl$k)-0nb9Aq97z4U@)H>`8%Eo(CCfHnuzwG);1%Rk}{yb^*aMj2x+vaa$kK zCjqSZ@24YD6rVzjW;E;g;y_%KFsh*Nn`k}F^md{yHxw?Kilj~Wv^sF_lNpzavGmJ> z?&kYXH?6sR)MLFvdO$!U0xBlM?%h@B?Cr-t4}L2v`+KWVZSR4i!HtI;Yz)lj=6<2{ z7@3yetVIA_Z$%N^iFjMt9-eV7Zo`;@-;K1b3Fq#)%_zm!bfMdT^hk&54YC_b4k=dn z$aHXh+@%@R;cW~Iu=S8bYJxJCoN~W3(EXESI4y^5tAx~_#T#NaL+(LAOylF@gy{v_ zE@zZ}lCW$5wBZ}@&mMFGILqjKD5C3!RnrVAwH7p>AQ7%Ku-wpBLIsQq7dqW^`i^0( zAfdEddOzaI9Ms%>lsxeru~tZ@4{(-Jz{wZH-GCt^aQC z=*aIdebb;K_^zMdHUd6_^7E}Rz3c4kjAC^ka7tnM2^bVY}3Gb0q@1MF{P+b$PsyYqUJ>xLthDr;_j+FHgAraTD(wI6P-|A}02#Qb^>3LjivJ&gYXFKLE=fg4Hk}H1xf{ z(yi8EllSw{C$4q1j{KA_pZ^fn%<NYo_;Ce zprn8EW^kW#?Yr7r6F+kfiwU+I7|afX>2D5l;bCk}|H#M(gX)L`u{)!02^n4BrfyPey)zK7&>s66USxzVDt=yBQf{No;{Qu1BUJ zPcPjn^A5)bC_*@^%9tRux1SQgGCx703cCEZxrWC58ti;AKiYLDWBju$y6?eA8EJLr zjxtOqzrcoFK6dPwXMCmUQbjQd4JLv~9#K8KMFWDsOVWI0Qwg|^i2FmjVp_qx;f z?_SP6$E9qXjK2K(jT<4yZft~=B|0W%hZ8?14u+*V4#~offEZR}} zymkQF+tmDRA$*{$tn4vt187`Nff_@a-wdbOk1THRy%zjd{6?$2tF+DaZwyO1m@AsZ z-^i4Xx!mEsn0~RiMHr2gdEROuLHgsol6iH(V-sYa2grBKb;X|KR%7A?dwUV<)+09kjgwbz9&ll(BS-w&`>WmP!u*m=Nym?HbA~@irlV<k=S5Uh zbatXM5)J+INKziZ&Cq4Awwtw`r_R)CMi-nkTHNqfQ&o~RwGI+~*N3FsC{%V3FoK=q z=uV;Kun~QJMes2~LqZ?39-CChcl>W{t^~C;*gOv|gpR2h=s47p6KFzV8$H%xP!(?M zTmf+eKb(w5K(;K{W&WiAev-|Sjrcjj@n-~Wm7Sg4d8SerXMoSJij@R{e8hx0K|z0) zzx)c+V#n6N*F%lnkoK@Dl{*7T5myhgvz>gCu34VnoW^I;n507>PnaBROoBzigA@FEEp49!#k-b(&nnX@UR-cSJ?(oF(`-s(Q#qsLC>^0bBDQJ%Cg?YRYr%~PD zKHkM2Uu8BxY&hsV&)xfuRt6eFRwnEhH~}5Uc3(in8iw&hq**Lrh_R3HtN(K@)nS^c zZ*qpk{^?h!tTrEp*2l3p3f|0z&>$^K;lzVV(${JZZ;;)J^T>NvIHd^Jlv{dA%4^7? zC9Mf}m+ruQft6#-HgG2zW2a&?odem*+Ltbii)T9vlHz!6-L}n-S0E^wQ&}E1kD5VPsqu*BGBDDFmd-rY%?FnN0&v-LJR=$sQnMTt+ zjRrl(4w6P>J@oeOh4R>ga&HJ^O?a=a;;&SbRIsk-aEP`Goq7+(0rmqfp(7LiJppI=P;fyP0$ zlk+E^C&+;shu_Lk*6o(;v<*21Lr-0qkW4}d9Tmjb8C+PzbtSW*A5`<9dr4`$M_n`m z9aXE2JI$LCCKMR2h|q@7;SJR1rGvZJgm1H=JA8%GuMjEq5|Vs9!QJ)}?v2;4UlaLY z(IIv(7!$(8fm{h^wYcl*oQmsWHziVsK^rIRqTWorEN)e>J7IGPV-=yh%nm66=$eK{ z$MXRO5;8kXP&-eY{t3YuxjYrv9nD|`=m>k{Cht}C9dlwB0dZYhwS$y21Q`p_xnD#i z7$BB$dBwB#-HR$09vLpctXPO!K!~Ye1c$xMNEH|Yt8aVl*?6yt+RJR?+Q7lYREvMC zq6FWKbT|WGlnS)k+gmNQ%#BRYQ|P&QacRkNs^<*y71HX(yMxQXTSUBxfC_?soYy;r zD^KGmr*X_DS4-E+{W-Zq~Vifd6&1MYf52-s0yoO5LjMcj6tB^AQ|e+ z%PR?ZBmn_M4K`1LPl}FJ6knxfTnFnp0rLoc+Af%l#UiA}`KLTdSOZ{FO!d-uA> z$Olcs1haML&Tl}M*IQy?{9_6X+o!#4rPl48zT7oWMv+4IKpAa?AzReE5%8VCoHp$sG~ew?=t< zpH`~pfWH#qOfc>E5&|1x*$H~a{F{19zw}h=DExOvXiVCG{b<(-)% z-Yut;scl@CTAm%5e_bcpI*m*`4YJ7^@$~1Y<<3y_G8G1i$HnN{^v8#Zp%flBG$&JpciP zPDEUMX0i7fQ|87Pg4w9Jzro=3J9sT8u{5cAMH|V;$v^R&YxDeG_?Nk$VQqWe$X&nP zepk$PuuO;m6e3!bH84n=JUmaaiLm*ZgntsjZ?Kw}X2FO-7m~<iFdh-XUw2_npd7~VwVv;_|o8v?2ZMyvoKg! z5)P5U2&bpSC=#$e(ME6f^Xm7QNlrf6chleK&XC048ucP1MApE-Aa_h-BHLl+pd1$p ze{y;{EHKQCLKWFD(a|JbJw5l7%Ixb$<}iA4VUutLXT+tU!ETS6 z=G%`W$#0KFmq?GSm)cs1X4lFoeyWnCAfSOj*x|#hA?CfVNUgEZGuSYXt+=> zVF*4TD%!l$tJ{q|{Z*Iah|8JP{q`BhDjd33<}Yj4RO89a%u+HkN`L9^sNsfzO}Q6Iy7?S2B&ktAEyA-+ljyf>2-GUXrzDiU1Q5 zFAEs#Wv*Y3nyNqhKfgAMcsab1#jo!=V`74#^zV!7yB`5dz*bwkkFB)g( zEe_RjHT0{cB28;MGJhAi6&8F?llcT*NdhWeGzcDU)nxa-qzS#W>h_rJ==N~mx3nH7 z?*$XF`1^Oq+-64HrULZnCm^7vF;q4UC!z6rcs%I;Xdm3kz|U~rWSQ}pVB|5cGEizj znG;k2*zlO&7cA8(Uc3wl&|hKLJF)pLKqf02+l-_NMhxWc^NQ!srFm_t-Mtq3wb8%E z)B&J?nNODluCgdxZaob%ataHp98}s~eBH!EV^q(EA^1$l_p-7m@Ef?fRAAa+o*M%S zY=QN4bv0|#42gql`@SD@m!v(BUzsMC>#o_-ow-;2=#hYzFJC4JN}>V7J+!s8P0q~~ zNAA>Amh!sTUwA|3)EiDYXIgNeh6VR16vBj_pp)B1PyfnRl;9{lIYEhSirJ2Fxh~jM zK;xcnU=y^Cr7D->y4{v}Nn5Vzex@~T&l?-%n_JYM-MBDgbn3XbZSb0ovN9vI z6haArBXzfr_UX#<6K^uC&pe?iZAt4p{#_n4pB&fOr>x&mQh{{iRx}7xyb%l@hql$- zx-L4-$vxQDN6*A`4p+ig;ZT81d8_`J;hLKhjaJ zCR$pUFl0uoWVViTa2wvdxl`jzZ%>bfjm_7_MkZpqLsF7cAHeTicS&Hd^TCkQtAtim^ z{g4512XB)>>?+xgw~2x|S@)NMPQzbqe|)J#y#y)>klhIYCc6Fw%GTjjA#pk@aX{YuK%z4PSK04ZXc7~lh9|i@f+)b#$;+GRV z0%p^w=;-3W#;pgs^i>hW_Pd&qIhvh(#AM!|m6=P(tOR-Ab9;RS;1eLcY%gBCz);&8 zU|S%m4i{7XMNKLfCe}8+SyziGo)|;R3GRJ-0Jk^vKa}3SBk(vs zKLN7fh0O2hh`?ja3HR1HS2#;5RVKGMSC?bW_<2v0I+&st$QkPO}`zS)SuB~>*wS)=s5-@kt+ zeErxMg68-qI%q&%N2A&rgAyXz4~)sxX0a+hY%QAppmmD@vj}ik660KeL?CILbjatw zT}n1M&?J)YcIQ+-%fa}LkK8(?s)FH#Q8gNgw6sBZuWd-0=RJ zI6X5Hl}-k>ME@QHQMi~bHRh>P{Z90*iSWK|uHcHXhxOo!j zdnEjw7=nvk=e^cHLHdk&3DosJc|I8U#HI7tP-MSw*zsPJodi1QOpSAJX>cb$2vT?)>#L$KZ1 zb-Dz_ML0f=jy~`=@XL;Fs_4meUg{4T?Z^oO9jM%}QSdkhe7~%XXiIGp^mw}_arMbF zFPjp8q*cSFGRcvLgJGQgPr;>J~^w{ngYc@r`BS(hv=vmvkez7vRTZrn0nW1>8)b#8kV z;rKjeYQDCUC(J<8%GRz=uH_l3=Iao;wiqDk1zjZX}nghm8Mla3i7Qdr;MN^onl zH)?vB(un`~P&->tU;+#LOOFfw>R(;4$;R6DH<99Sk($0CaWc*H+nDo`C)$iFE8ktW7N&8+|Amy>|-qP zPL(w-9Wu9RE5j}oPgi+)e>CazMQPs3$awbV&1ern+M|H&Y~ptaPB%fGfG=efcsAAP ztm}CY&+2w)><5iP*pWe8E21Qzqf$+uIK0Q~P;avHo#U))%r?l6JgTjMe+18bZxYMT z=g`&Pyq5T2fB6N+->s)-f&)t5UP&SaH8B7iQC&+sJ1;LUG28?KBF2OeU-ig<5K_3+ zKR!I7l6YRl^a-$2npvw5T!F(FQUC|b-Et>!w8%=CCEl$)x!v)=qA>5O$z!M9R{AUj zA=9DWg7R6gK8rCyHVGmk8 zyB(Nx!}y{qd}v^Q)q}2d16(HqBdn~hZrZe|06qp!jp{%b)s0mD=0c%%?usaXk1y1u z?9T(J^PX&QNtC^$bJ?ij#u^7b}WMg#~-{HAF7 zTo@xs|0m=-ui|B+sV~wYh?7CnVQmr&_^&DsK!^;GXRx0 z$6dAUT#$eXbsGYZk(Qk2i?FbA_?GY*lRk|17It>-Ihp;Jk@#1DYt~e0JMmv;Q^6$; z>dlpK%@K4H=+soqLV-QI;A*Cr34XJ?t84F?D*-VUP9bWq!pNBPWttj(&V76Lo*c0{ z?BnA@b0c%8DP=#JLU%7cX5D}DoP0@&MtDi}$@bh=)pvCsoWA3Qhg3C6&&c3Ba9{(B zjF3M{!08Z|;@h=r7bCZ7K2{lih^W6gmQfa0`~maGDU9Pnyz^>^xw;dZ2y@>PBIN&y z=C3SOFN)CV?b(^`R7Juxk(!;(NBeTi?+Oa0Jr7UNhQ$Sz>Ei*RGz#2qgO%u4veUwC z9?i_lhZ~vf95GWx&;DGPJ_HfP<0nt_A(;|D2E>Gk)UFkwp=)&9>p+hPzwN3h75i1!I%dqZ4nGU;A&AAB}4R_?ET-i zjTj}>MD_O9{d`69p^DEVE*}o!IxOJi;86SeG-Xdu4;W&Qr${(zn+pz)&e#+L5Kl(*;$`yR~S-so_Ne{R_#@e544eY%;;H6DY;^uQdx;*C2 zJ3QINxHk}CiRmdcz}xoh(ZQ1yZO|p0$XDV5tD?=ZSuzfIxSjg?`s?loI6rzvD+*_E zWRUMm>+Ag>+vw@f89^Z3UepFMYe(p-C9@L^q}E9+v0dzkEG>-j^)n=&6$R}$DB zlfCZ99H0O`DSbFioPni3%M+N{`uMjNGUDX%seiFQ28~~0q0L%7Na;45WhpqR@aiHS zA6Z)Q^7;J_4J$Y#AsfabGn|%wx0LaI!Zw*PzKU?I$K#BlcvB9fnqx>X`-OzkubRC3 z25V(8B$;3dht&UEjASobLYPG&k;Pbojx)ptz(0%z>m5W|;uSH~$sf)WmL4Ob^YY`s64* zegQ`DzBcZkS0$q?$r;6PpIKPR`k2DqKC$4u|;7-v1Y>B;yq1DDXrGDd~>_BHE!t1Yqc!H zpr>np7V-$195Xk63v5N`27?0dz(f+Hlbn6t5aTb-%*>1t>&+)loIn#}n7eNDcF}EG zH+p+_==k#{O4Zm!=!rY?$an_*=J4JYI+JBsT3j69D7oVaNI;yLn~)cWB2l`>R{ z@=#HHbIA7?*Y7S;<`fUuJKU6PW8_VtM;M)R}7 zOswVbTTsYh=BgV-vdH#j+w|jMwH3|z=dE$;7M56E>u;) ziT@-ZvtU8BtD5tPUNNyY$`&_8!!N* z^Edy5mMoby#XJb`#phw1VuYPZ;ktL+o(e2qDI8@nV<6SGbchqBVfZk$?-75sm)& z^RK|*E;XbHmH)+4%{8G-1fII3<;%yk?ldb3;>vp_E!-jNUAY?x1P4?Xjck{ zt{I)->F)eS{X4^dlN(f1NH^A~ZTuhJeL*6>0d3D2Gf2~Ca7d^uF*>*7G7Pmq6db_# zHCg^vgslfDyB4}7I%%JUFn!gHMe5oAw2{%af`zOOjd#bd(Bl0W=p*^FZ4_S<-fr9+ z!AQXub=5#Hzz*J4PJaFuaOxWU#ZAfw_*72f{akTato3eLsmv3U2ZjOUkzytn7KA&@ z(+S0fFs814GflRu#dGDVKXLE6=*3a0oJaFnU-(Yu+nUjy9%+o5i8#)_tq3>Uhc{1s znQt*69_sIVeu6QFvqJ%W1E8BL2=maJb9{j)nM2EPBB^g^s3_HU#&@7 zSls{cKzEr_-*E}6haQZGIWVB0Qv8jz`hVgG5p#7&rvG3EQ-s9&P&HodhIaoaR<9dx zUBD=CZM@p?UY{mh>OXcKYn6xDmV{e}rnU8iS2<gdsrPFR6O#S3@{Rzn~QqO}EybF=X9HhTi+ey zJUG2z+wg+55%yE!Ed*anOFL6Kqt18}^Yoxz@zE)~mLNEDTB&Y%+uJ_6O}@z~qnwYA za0_T?Xw>5}Al6{ZF%4Arx)kD1Qg7 z{z@!j)#DvU;3fDQ7t+=*!Vf=0K;R`m4jXA-1Qsv*3V#oZjNC)K(Smy~cU*B%$s@0^ zr{<^oSy~!ykP_}!p#9T`>hUadu<=;&Xq-VnMt&Hu;Sl-`ivwP?u~R;f`+LS3a5OZ) zL8!`Q8QK|VsEE>%pavtXhf=X&cG8bEV?Dt!-@jFeL@{*stLomj>m|%nk9T-JNq5H$NZL-_97iOUU#* zUb%#q$NY#+oQ}fW0+_cHyx8DxT^HcE`YB*S7#FxPsRE zbmv{tLEpW`@;Zbn@)PgglTNEstB;o5b}?LpT`O(k{-;lZXg`Ua`Oo5r2H{1HFF52E ztKI&*!Eqcz$l_%<|A(yij_11l+sB*AXep~gi|jqJQZ!LyWhRNNkS(i4r6SoQQY6XV zTO?(ttjsbRR>;cw9%o(G=j#6b{x^X+)8g{rV+Af8-)P~)dR)JX{mE#Wh-3jeoE*1b-{OICr=v3_w06sj>v(_l3*~zK z*98}e4ensr5-!8#dc4JQGe*N47`$WHt~01gaz*X2vwUC3AOa?0UpotO@UC9qT|w+( z+WdmaU}T>))8ElMByG@17~TNDFkL2_9{5cxqLBI4Ss)G(3p=RHq%9yM6I6jK0_*cu zzIgHJ9e-&Z9pCWPAN3;KagQ42&vyQ56rJ1e;^HC*cSCyqGcW!$PbPZ=LhJ~45IF`- z3BDgsW0HQFr{v{Mp)w+~WF|68g8S*5K0ifLHmo2jFu%yXJjsQ51Hz|2=GFl2@PF*t zvuDfYLewH9ON&yNWt;`y0{_Ao2u7QkneY8!VH;1MuX=EF$Irz#smx-VAN!eWRt?9@ zW<~p{l^E{+7VaKR26pMj)qSE+FrP9!ewMEir5mw|gm1_L@}vO%kXF4}ONzWVSNa1r zf;Kic&tzmKzuraW9}u143&Mm+sEcGo5Iq5!VE8zk`~?FV@~}{wJOI@e1KMv$wM^10 z*NJ*ie4kqFzJ6YEdwLeNX3oulX}Of1{@plC1X2LK`4fy0-u>=#6{FnRlc4YXFRKTxMoyxMq{YhG+1X@-db&+?TNrux1W z$mE2=m6YblBV`%-sdcD4UG>MpvRfTg2bp_jv%Cd%`vg9GSPSLJ@zJiLdja4ZM6DVT6>I+X7;d^aE<;HiW5V}eX$CI$-{ zrrE}WWO%%rx2FFC7&zb?^kK-4Qv8lR{@dn<1#eR>G%lmY**JQdu`Hbw-AZM)Oy=O9 zl`Kqc!(W0ONC+Os7%JZh2r)a-Mt{fuZV!w3S;RavD2!LuusE06uCz-UX|QD+TB2&c zdu{2)^?-Pj{*I50g}a6PYn0YVuV;ShUa--Ayo+NKYRP=3(K?7k-`t?wj0qvP^+B!B%kPRdMvb8bsh8IJ-7_qyVtWi9nv z*&|)&wSFlgYa0b5fbJy3%-V8%;+Nc8-ryFp7PE9kcnvRSX}^*Sn|kvC)Gy`}1d z_6qZ9(j|d?2wPracDD@R3KIKnFu6h4fP`8!xm8Z4VY_7U#nwfm?R)f_vsuP(4j8q3 zinDfvT}Vql&z;XhLp2~3R>49Q7IuH0DO(21^!Y=r@xjgO zEk>%uJfG1ThyjcnK7o7y85j2>&@9?@!51>0-AP$nao)(N9I{+!^hi|Lg{VOEbk3OSFu~~&k@<#h`S_KsVl^HKQko_W z4nLDI&pLkLmV}8|#-hh< z@vVFJV4Qa9Pc&BDdo^$SZTu4ya-a?LjE<%_NSKT^r*`Dz`%*51!y7dIl19ar{S0#5 ztJgR&7P0CTW+lIg#UUo%V#ujGWMr6GSy_#aWdlk4mZe~%oq*tiLjT@D1J1)xgRZ5a zc~ucNKfUVBUN(CAEU%w~4OTq%(a#+YUx~>nn>Wb*(PU;}HSm>9gdsrH2biva(Q6tO z&-qJ#PzHsE_HX%)61Qbk(0h0o%99LdXP-vdCx)K@iX)o*Je0N$VlU;9Cc7hfRMod{ z-zM{ZbWqUWCTM4{!z34jp=MbP9DVX6dwb);InzC<&L(od zHQZ~MioYf_t$c1Fd%fhzlifuTt3Q3;S|7RcTcb=t=pPq~v%vSjp@dXr?RdhY?ZiV8 z{rvlUnhYlltCJMh=@jfy!3ei{E&tzGP7-&%wE`zxD%${oVoXG26CgS^7Q4G*n$N?> z(|r;SQ^Uh2Ab0%s$B%ovl;d3}X6#^Y?33oE(Ye3jr^JDm*1LBKYY+M?BXiW{j%IF+ zCG;3KzHZ=AJV^&DQ4iw6`rBEN%r#DZM^yzEW+r6A<0~fgiCxUsGZ7;m5@42qOhI># zoBQd1?DQcm~rB+V(iWip1(1VMGmn!bytUba3b;z9__23!-4a0>lHEj5#j5 zOKdRv7fUMXYR=zUn)*r$c{m}^!>i(YgrX_mQ?ZL5AHl<~$Q5NK0_euLlPl~b(!dLc z7pSr0(5?=a;G0>KdqGFOJee7tm!sAA@2GBF#zx&|Xit7oL&7&!MGa#qwdI9_;Ok3XOWUGwvD z(Om;Rxr2rhfOo+d0zsPjULyC?-}W$9)|1RvZGO9Ha1x?~jr8>1_;vrV7TBZ5KB{7% z@DD2iR-A^YsE7_1kWG@JaM8)lr8)kes-wG)ZhPHt!Lwt>vMU&fzl+HZ!B+uLvWC#5 zckPn<-8k*-h!@7nis$Q>W(OuCzWh1s_y<3vQVf1vT zGE7cjB6~{VxG5h6TGV{UVXh>y?4Szfv?(g1Fj^@8ylO{;C?!T zR;6QwYpt3dRi95vyW=kf2p+E%6y0}fb+O@N6EFr|%yi-$XoY(F@%jylv( zQhZIb@A9~tU(4J^`cFwv^6RQjl?+2FZzU+&8$c__}3 zxOZ`I+(L2c9~^8_s4QpqiN(2RITQlK>gW%s#34!>%Bu%YbO^mt?>09IsiL0OP*gZOy5ob_$$}3)2R0A0ZH5tVY`n*nddbe=Wt^YAbN!Z)^LQ z{U-cIgzV2Sqt>oPO1+OMW)iTAMiRC~LV;lmS<)hDPYJZNSMvOv{Gta6b+ zv#q;N>gh!`vvrnqMIT`EJa+5Gy#Nv3it_T65XeDfVq0lM8$OD#D~0wG$rr8X@8}6L zr_}}M*pQ1K;fCvkJWlw0!}toaxeDF^3ZClp!Ut0SgZpXhC25h^BhbZS+&Iu(TeKbK z?~kCV1S}{E*y`kkcVQ-g`}9!A}qRA{jA%-A^07bo8|#Mxq?`djxb-eYS@x(grWb zlR}Ae=)&vH2#Mdm8($xF>!oHlL zFli-?-U`j^AETG|&0jZ(LsxD)J8q0pm#XuqT*g7ncXN?d38wXDqTPoNepa|)FWsei z+v5;<>1@RaozPTy@KgUUd_{E$Uf&@2A4R!SGdKC-3d-HJl$4*47K1xw+W)wFbqRC{ z7!^`TOH0Gxk;`U0MfbRA@TK3uRGhMg-W+Fy&X#rq zB_NEF3&_0tN8w*|TXn zC)h+3b1X^l3|VDDt+A=Vs9O>70|xQk-6bN51+u3%lt+1a49XSUglauePng)R(y2Hx}l(_}YnPxx&Z>pastDYF*ul$OCu&37zsO+B&E0*2HZ= z*dVHUpo$YwA}9LPpiIJrK;*Rc-+VeO>u++#k+2ZrYo?^61jp%TF>UB~ND%wcbMR05 ztfYXTA&D&$fD!@3o9Qbg6hx=ec=yL5Dk?t7oD2CcbPlvou|V(&Q)~dBWdxG5Jwz#L z+CX-iK+kZa(e(DyxySDhM(6c>UP)k~5BT*hEg=}t+S=Wb_050mJ%H*ER_G{1M-Z_O z5J>{8l>3XbMm;d>(xiuYRlL6R#g-SW)c-gOHs(K;0zK{?0{c5~1|TLN@|l&`m_i&d zR8?tlW1I6MU3>o{X)N-+uP(^XKWA;N4A1P_zKOSDwBbkxk1;T`R##Ei^tUZ|8w;%3 zj{yjpD<%D|h5w>rO~V6|Bg7UHd|cooWyFKa_LX~TM#d8iilF<*eic)1`QbZ^pqR2- z?q2(OL#P0@`{gYyIjy~+)*A2RGFJUA1N?E4)w@<^aFz*$UUC}BbZ*`EF13^R49d4( zwh9op%0t{tcT<-*g;E-=Yvrf%n{Vst$ZvV?zEwS$lJgy?8OE2*kP<*DA4$-4Jxo=L z0-Cfd|I7Mo1N=)Z4I3L9_c?r5&s$gXl&Tt<9rQU9G&TP-LlUb+?o}umG z6&YT{m^#&I_NJ}YX8yu~HH4AjQrq<~EbQ%AZzW+U zpj!awpmYqABphCJ3+MCnGgwWnz6LG-QMvC}z8-r>R(g6_dwap54CC(P$2UyA1;c6a zaUuDURf9JSp3+qRC>d!rnUpmCpA$!k%Oq`X7PsT!(5pqe;A23BI>DWy1q=IrST7e3 z=*jVa#2?Y1-Pj*TrMl_gw{s6~M~$VDKSB}(QjOib?ceoa-gWzmWJW|5t2X_Nq>DXi z6=w%mosxppXvlKBjRye%Z{OsWWId{OHHBNqzuynt+Yu0`GWp8SL!Gi5IBG7$Qn**s z?tB4xpvm%xSjq}*8`95A`XYu31aRdwKz+wg57~}1C$}MZ>V()?bF~P(&|mMJ6=tL; zJKx^chOX45JE=ycSl$l9lG{E$yCfvE|6uh2NV5k6RZ-THNkNjL;O)k>)n~u@4r3=z zR#w*WI;Za6{Mdh47Pv|1h(CY*%AudeP0ZP$73RqaVtO=tMiDKVhpRH-NHVftP7&vcg-Ro*es#|b9<%Aw_%BP$ zBDlG!V<#X#{6CZKcVg=VuYv~R24b*x|H)-f-ybZgf0-ckibb5pg~J%p7Bj>r;_q_5 zjc*M{sd?hip&QM{q^w~_guF&t7w9R-?u@vOkVYEFa8NtfTyPw^F|l##s$szw8XLhU zJC>H<7IPityNiP%LmZfbzJ%(Dxwxy2K`T%0uLIpK-orogHqxER53zHAU5fvM2j|l5 zf-4(%eq%H)yZ(HZ3USb?&gG9|3SJHh5U`*aG{@{RqcW%dxc996zU%~rnf^OwtYIPY z2!sYyIWbo;=l!#or8z&)^>oe#5%={f-r5<$iq=Cf5F~Iv`ix4db^kdw(m2)!d1M4a z9JMHpDJjL`GX?}bX1`Ja>lRzz@I_djK~;DHnE}v~#eUxL$4XepL*6wiPvdl}*Wq9P z@%WjabWAvd^;=2m?26pV|3?y>#c zg|6dK;Ae~5n^CmE2rtjK%O zGC#|gm`X#IRY5G5@UWy+?Boq%>$7ZUin;!YtJp;5my*KI$2XAmDu_cDl_dfR01S!h z_4}4zeAKB`K9!$#|6F+63+oVuP{qW<#nLwhFk5~Q8Ce6;^PlD-*BZy}5CRf<>5SY` zyrk7*JZ>g8T<40%qA@OPu4bPNgvs`gHn# z#8&ABy#gH{qOCz&3lj?zWrh^c?x6nLBP66cs5;_zk6Ai<)r;XzmK@t>KK6wG%#9QC zoz)Cx2{+#UI~k!|_kw-iBgB9K!7vTMKnE=fc_+)-z4QO$^M}3AXFjZ=u!)ZDu!_q4 z7X>_bNe2i$4ZuGzQs;X0*W@dUT3Scaj9pOjxZN1aS+FB`dpH|e^2fnXeg;|`ZKc6< zas)Pem`Qs4#k>%&PkV`=gQBIEfPI{0cLAZ3fjPL+nSA|=SzDLCd`P31p9BN13~+?g zscO#V#pK~e_4hgvPa=rq+T;!$JqmJbyaSU{oQ4*~y$f&Z{;rrJBz@2?QIl2~e(i`N z0>V&JVe+Ou)n~Bm|8$uFQC(QJ2Bb>%dyf^^f>x z(p09F&3fL}&5%bCo(jYXH(IC_W0qIAm&caX0o0X52@E#tH zE{$7Ym&yV}eIViFyn~b?buD-*LBC_T9-`^a8W{l#+K4*}^ZL zZIVe$S( z%58hYhB9?lnWRQG=%JOvuR5+MTpL1+ly87>qr2AbqM_JLlx@lWE}eU-Km13ZKRa+x zgq@uN0=}eb0q(uY(L1DtBR97w<5g$_?;$$|@tBZ1)*W?XOnsB;Zo_%VQsk`}_CKjV z)lauJru>}-Fpy9n>3{7Vyz>=MP}4$_>=@t?hBEz4P0cGb1D5>Z|CeH_$N@YG>FnSQ`eXlqISdr2-&Q%@5KCdq_GG>2JleGv z3g#0bJwnqBFW!HP)dd6nmMtigtBEigrui>)C~7%*t{=JT(tC(dz9=@1o41{rV*y`7 z1vpL^^V|}%pH$sPJBx|VoT&~S-%93|XS*go_4cY2=NqqtBE0as+(%KZ>2Sk+74D$5 zH5Afyb;$oyycm)-Gw4eS;GVxb&S_qo*t_Uue63 zdz>{Kk^_Q(f9`H$-CIoKlap)^Yy$wtvt|B^qcC%GPVynxC4k+GvoqBVYa~QYOpv%EDZnT+ky{unZYaq9fYrA=>oKSvztWiU>|Y%#-zcVVkV zT{7p7H1;zmsxs;A`o4enfm!ja)|u~`#p`0K&zDbmk9jkVjGpQ$5!Z37t}{xG(IzXe zL~+8bD+DTKbjPJ29aFAf{~FvkVlE5@GG?t#ExjSUx|&}tTrFBU z2U}8puQ?&)6k7l}S|TTij%b;CXR+sFN0zWXTHZPYAjA!Jwm_WbGT zgMh)B+cwuI>odDtIIE4z2^QBkW7Eg9@#Jk0WE@hCLn40#4XV10ais+`CUQ^3@x zaFV!0MYH-UB92+=ytsURa`*F>=@ic^pR;_otult88}7O}8aFPs-G}eBipYs-H6O^D zkBR%pP^6rpQ~MIvSY1mibnHuNYO3pH&rV1|@(KzP(Nc31ov|+T#AJg?1vJO%94xL1 zyd;atUG)5$`>r1A4@(wy{5TW!J>f&s?rD1;fPOHbdn3o%on~}%#RqVgeWdHrnrYbD zrmHF>fB~Sj{5$-#oQ6(!Ot)meZ&4pU?)khlrzJ5Yc=)t4}25(k#j6BP!$@WCsg4Fo&Hz&YZl)`k+NRp z?43vn6ty)iw2?$pfYDLVvys5SK)Jow(S7a`5D@5g2VD`Q51WYr0^=*HX20F?A$@4{ zK}kh@*T<+l{ei~16lNv~ro!}ox~a;cme@0PJp%(r0E%7pY+-ZpeE1hnZS)=1alnP5 z3>>}jVOB;)7;&k-pJ95|&hS&>$DqxdI*u{U5izwXJcV1h?l6Ml9hZ)ZimLb}UYtA1 zZ}%-~`1|+gZ8}XPsU`rOSO&%LY(8ZOo#NVRn=cPkvFBkI_Ue>jbtg#kcJKu_7tM`n zJSeB|xO0J@M13;{NJ}$6jr!WkU1T-j=|1h%q{Gl?G9Y><%H8@DP}7 z-|v?D#?INWQOF*iFYukjND*7gc5`x4_C$3XVD5|!nwwZy zqDB|tsJR)I3P+AmppN5c`l8D5rK-X6s-f%Xu6@%^x7YJO_i_P~1mMa;kls73gAQ|j zUx;%s4aN>3V3XIfWy%g;f{Uz5ZInzwP4a~iqhM>Np;kc$_(QB4$TM8 zmKTbmCTH$$~kesnVVn2#%-#)LL5@YOH#_&&&1sU2tm#=<8lYLRam76otjXaX znNv&@tObOpj+4n5U_n-g#2wZNxL+FIg<2Iex?j_y%34}lF}+sQ#NA1? zB!9#3dvV5*uQTu@Th17)2(H^U+{=BK7ZAFp{b-j=H?88p=cyLBcS#c0Y0#IW5Xk}n z&Vs8=&61;kgIEwF$Y%gRl$!?o@N`?M;Ywm<4kBjpmoF-+(~aqFQf6lC-RZ|ybB@dn zR`Zv{B59G04#Z>(@wEYaX`!vBe)RT!fLp%u^(xVwY+D!IGForaHJ1Shu0rp95>=3* z!|=rC;*v~rvtYh9#D}Vt0c!@ZR^eq|Zx#lIhwv@$${sy@I0h!I*_L6)Qv!16Q}Q?y z`PzaRgFn^bY2lS`MH+xDX3$Irt3yUbt=Jm3t&Gjqysxm$*J}R0rPavPFKKK?nia6`%59XLJl z@4^?4B0j2@%fi$DM)&9jQw#BRJlirMvtFA(`Y>N+Hl6V*K zto~p=!tA^?PJ-B-hdqo>%+?_$#<7I*it=E2Gcy*u%CY+0y-UjfS4mpmYfLWB?R|0@ zD9c&>8Brl28sVXVd($F&U5pB;?PRlX@jmzWJ5(+Zc{8d?BV3!pg{gM7{i8)f#`r=0 z@^+^Jbox2p&T+$30q+Nx&oPjTaK;LahR@YXH*_@IS=Hlr>AwAJ@=Z7tFYnm278lL; z&K+uSE`(jeY|zQ3udj7kvVQw}7#m#Echv=~Lrm&F#(wF@G}{cT8KG|y)WosY$oY-Y z`m30lXQ>zP=-6sez={J?W$aUPsx(3dG{%Sq`yPNbm#56Z$Z;0hsfl5y$~0}W*m)6} zE4!zX*0Dal3NFct0zOY1z-5`H?>-kt`z7>e2^e5v<6DW^cosI-uu+MH0&N+ZWdi36 zP%mFyluew;2>^~c+U$ryo-G@SM#F|j2SJ5we^vj~CT>&kg!+dDHw)^Cg~AdlA;Yp& z$b8P&LUuy;=Ypy1`gz^b+C3PhbQn*K6tW!8S&V>TOeGL@7YGrtbT%KG#EbWP<#kV= z*7i0*EVY+>XkU#2%J7}i{y6JXyzbLnqq_5ru-EklWe1M^CKA<`P8r#chQ!@87I4#Q z`erXZ`9X~=1%W6NQVE!Pokw}FPeMY_qIs$Lga@RQZE#O1-jIj3p8UHY`)))*zG6{d ziM4*)q4;){3q!WO9%PFq;qqc@%MNfJ&?*p*clcK$nIP`)8UO0IvwL*<0zw-xWI=0y zfd;?{Ly)}Y;qFIx&9C{5VVG7*7G5Ab+$-mX#F@x=i5W7G1B`CRu!KYfrk(63BTWmN zF_9;mBNO!Ugish6<1fvcV@3wfMQdMunn<~ARAIyX$L^F(9-@(_vkS|vB~zPzYj2Eg z5!~y-TXVT+vAD|sSMD>k9%M3$@jI?SIovTrkqCKp2Rs-4ut<+CFK3X%NX7^j#mh*> z2A~tvwKF5S`eLx*0Tq7w84>)FNl3G z9U~(a+71PVgoF^QW=ZECk5KtxBil33+uj87!N- z88xv$o*EWjpeYI#+vaEpR!}TBM;}mjkW3i}I5#~l?G*mAM!n2*q$FZd@dEiyR!dE+ z*oBO0GYYeNjil#o36V}*oT70L6r{#=ix;LwyHlc^KU31d)(O+^APA$(n_q;5V}?^z zSI0LTe_0v+QyS>sak`?_LCp*F^YbI0g@MO&unE57!q?|4K}b0g8t2p)d;B@JMgV3# z(f0A<^D9@DO-5r=rf*vo9*a)T96M~zT$|N>r0^T4BG?K9=**^u003km(gsCEc^HhQ zAcNr->2M;}_V@M0LJjhST%i>yVbgP`HA`eye_YBkY#uT@qfjxg_SFh61YY|`Fdk$Y zwRr#Z-uTp%CI$zqS=1T^1ExK74(8}C$%;bEsVXm*$9DGTIKzqfT3@7&q6Jy;0R>zWdf=dvk`g#F zllCUBcUp%t4rtkvA1ZJ` z4$OBRJ6CK6{rM>zC4&Ww@}Hx&L4|s1c6K%a`$m5Fh68B(fI|c8$E-lGL4lfRV3pA` zN!O_tm!k3PMB#y}f$@Q{wRK8iQBf1p(hI~Q1uQ*!?W@ga{OT9EB9yd&P29b_wBtFU84vuA#Pd0fG@V!lSNTcJH)` zr!&XuhK5;A1+Oa?fPLpQ_x|&onRaW|87Uc6M)b3;(OVj`Dosf7qn5bz>BiXH)$V)A zvJSlV+G2OFF_@I+ri(0j^f(zcjcL5TO}&@O&F%CwP=>8woCruAd7Iw8uD9KFd&!#D zubEy)xp@1BPS*z)lFap%Lld+LxEFIm6&!zG1wxAcxMgP&{mu;A+pb?7s4+QtNd^5nAf(z_C=$vH+hn! z7aKl>cI`aRARe>UQ0=D^BAowH;2RAbR`6F3+s8?ez2}U`h{k5K+yxE7;TbL~pkpGNveI z^Y=0{Gb7u_)k68t6ps7NAyQc{dkqbdtyT4+QFD%UH#du?i=o)vM1wUyA-xa-{lV5< z8HK74?$JHWnhnNg9zWAcdz^-G>8{Z)H=AzW-O9fZtQIH}!?VrXkW?WO(Sa#*uLZns z?(5pKVT0IRx+T6}`}ME9Kf}r}J~0w~FM_@6yhvzksi{EP)pr90VqRR;-luZQEE)3@ z?WS5zba$MeFP!@#*KeZ%`Jez$>ssGa<8_tWUcY&>w6NcK_lGg5&q7f@e(C9iXOx&1 z{)`wa|1N*H%L#cY?P7b=(QnjGJeL-|o6JR#dF?9P9Sb_0vHgsu6y{}Sb;B6T;TVYC zMV(u2Vs|(80>c10qW-%|`1)j*6~$Q?tFv8*cKH555Y)i%!Id+_{1&n#fqby0?An{U zj6im5z{+qTNPEHtr=VkH#3(Y)sy@m~0LEXD?I@A&p&Hj?{XhylinBz3>QcPk+mI1e zi|8^VKy7&=xJTU+h5CmMC9C&rc9j2PbWB=hoaE?#={=&`#iUg zGRdd?C}DULI6L7j{xoT(u{+Se==;RHvaTKezz=-C%;%?k-`p=ti80L5v3uC7ukKjz z5LhOP9zSUY?MyA6ns8BK919cV2s_uaXLk^9W+ESg+zEWG9bbw88ujULv&}7({UZs5 z`Sp49X~and6b-SKF-aKjcrH#vM^^03&|hRRf@HmQ*m0z2`V1z-0d}sCUg206VmOu8 zd>vD}n#nU|f2b;`8lvsmQIjbFUv~MPz|HRxTC}4R?J3^jS|r4`4jtfE0L&ph8O#s5 z>FOCa`7d$W7-B6Iu2=wD6(Wkr8nR`tsM$+q&(33r7lXycSWpy8m%46( z3%2IU8dkR-&nuM_6slZU^k!KI=Z?|);6q6l{ueH@*Ah_G)p8bv415HEu&!i!xV>_n zc!y1Gg~Ieun>^S(V7R(;MYl9i&RXw^JM=lz4s)AK;tTil_4QQ*C`F11o;J%q`zeZVdW*TbIMzl2 zu6PIR#o|ngB!9{9(mKt7;#%`GddWN7zkmdo5=HEpk9BNpqGdDFQhGYtf_Z>WPeVDkeE*3lr1Zo|o6jW+h~Y$GC{t z`#c`*mA4OupaPzYZe)Wel6;h%>r_1Oui3qYA>ZG}Z-ALZFFLcmqM~%@02bk%!7v*d zlA)6X<9dL``c2%w1fDy|FG@IYXDcrD?4N#5U+kI5rctf$Ql#R9tDmNmbhsc^+l%At z*rpmrD$gJjMN3aNu0s->aW0YLzjE(C->JdWb$Q?J#qC!YQkFC+DBf>Sx?t1$(yJ>4 zOY^Rtd171{Jl6a@$F|cXON*(?e4mE=b9%{}iGnmM@s0duXW!=ZCfY5vfA)&24CVIN zn>#lc5Ny_)uw-?%|LUs3BA(V^3dfa&JoH^7omaloUH8dcs*dMk&;X4Yq&>^d{K@Bj zAl#fon{v7%%6(z**|Td4XHuZEAoeaDw$;3=FOS5{3D8_ePEkSoAUC`_#XT7-+-hoS z5*O#8O1VSc_R|yF;%ThxhIgy;*UN^GE!Mi}^>^s5Yv5za$rnjM!u8hdwMj-Iv)?>Gd=D zeT3}Duj?uK9u<$guP>Xie;r|0*J(e(P* zJ(=iDE*SX?eydBJW%d5osE+T{n)EI$jxHrTD`|q{+}(Za)|;g*rZ><|g`uXiMI3*R zJ;;daVYu4Z8}tb|oj>_*3mw*>0#>L&;5iEM8lX-?WDp4D9=)0Kg`pJ2SEME&JSm)l zK1uQCC|Nq(r#qLqEFQF_xWE@q%S3zN{H4)+@rEV-n|N&TOx1w zJ?G=EHjrtJY|dh4oiSOuXXE{OrnDa@GmHl$u;DfekTrQ-t za=I?xflfJ$tS`fwW)$Ey>J)8_D7+$f4~j znVlLy)@N}Y5=7NUq>Oo3RR%oT5GiFIkOnFFBt{L9D6Cg=)fiU=8UifE8Q6QFq7vy- z*s5b6(16>Yt3vs^-KUw!;_Ya+aY}DP8@NykxlRqONa}kSvSI%WHcC>AVXedi0KiyE z5t=A4{q@~-)N+P7?Qp8UaH`~1R$vkQB2 zzm0C}ocdL7cM762V7_6@Pqbt{^z6KHj=%OacXbpOFYh`eDhocYzDt_Wa4Noxr|FoT z)u_hUWlMc0)kIcRdIr3xB#H!}>GML8{Ox=M%o2nuWi&(NiDStI4c0!qzg`@y6el`8c+6m``=iy!uit_d(sf#} z*ZR>IoyQfrV)W@fmQ!S@jIv^=PL_mYP|-*BRN{p{mGhz^bZ)$$0qGI4Edv5XR7#Pg z(gFhz1e_BnZ%Gcj>c_oH^`jPzazvtb88m{=fWpaK{@H`P%@b?{j)s8a5UTiZsyuVD z{(<3Y;fX;TYzi6+v1!7paO?<|hVA$+Md7Hc4hHgGAAii){@|Q16F2z?gdbk665OvY zr{C7yJH9AcX&JJ2tBik2VKbwB3oH(u*+j zbJVjx?_wQ1o#8BDn>H-#8r!B{ZX?b^FnGF%PcntmBAxq+<_5&5qV z9KZbRrMxu5-1eRhyKqG#e517)B_*yND(YvozX>?pf5OvJwC)^h{)k$-C;o&)4V!lG z)yNXvk-}@a=s8^HgPaZmE<&SNe3sZ?m^G4p>I4CXMzYm%v$FI-xOIWe%GGSNdi83$!L@c`PQ0}hI%@}~ zZ-kDVt-tn7`FauKk@P#-X8Uf=+SYN^#^v$Ib8a=Fu! zHIW-*jt>pY-ZWr&n71~ri0As;ma<*P6|Whvtf4U-U-qic^Av}ZvwIB}SixmHyLNr9 zQxEMta9rtaabQ8vz&ZXKFM~b>fASrkwU%pq_gP9)5Y`L3WMqmyL{_>blm(jv8Q)Yr zqeV?>aQMYa#yQE_1xROnxEVA~Yg57N% zb2_Pw&$Djar52cwuz6C^@9yTtp_|PEmZZs1!NUg?Gpf?%!DdH;3Uilm=C~Ql2#Sc} zHFugWQF4}C3z9m$zp{NOohGhtCBvpoW6oSPR*z!q42vTR0taZrY%R0o{QOG4uPpGq zIsD#d+W90sEv+0D0kjD!1#~yQNS~L*2jQ^h{akDAA1S-MM5edZYK}+UTDwO-_j{n_ zX^!e1j+(88^qV$0#g`3HC|p*UitC6Gx!@^wA#DAe9d-U&(-V|s3tHy`B^q90AuFBkDP5GRf!_eh0YJy%oG{3 zokQ^f;OY$ zw9L{Oo1Ekg3wl(v@TjuVcX%>jd&rYZD-iWQ)zd= z<^I70o+YS+-U(AreCrhWB3kJfBEECTTW-$*7w(l!;L4&;gS!!GJCYpEI!?`ZyQfhAPEwF8H|m$kRJMEn9VZp}Xe( zE&$t)&Ai%}tNvA8CF^DSyWu%y;PgnYxAL+^|&Hr0(fa2A-9=ik1vdSrgf3b}{r?Vy2S z#ub^Ka?R!@VrcY}p$*@_gzpHuS-5-L4W2{Ts@*Zf=wj>Dh;__LM~)nMt6WWSi+OF6 zj@;|jp|jg_e@K*}T7bnwTA$_?h8%cbDj&LWQ%SMJX6sYg{#Gl|RpuQ-nfeiz+IXEf zt9!I|wm;eLj7*@a==rweMxw941>ph_@Gv*Sw;XNBZD!${O;j@bS0rv2T4c^v=ANaQ z?He6c25~`giRZQpA*LQbjuq}5LmY=MFbedV9g|r1X)@-$#mROD&@M1#;(1p#bkdl~ zelZ;(WIaO2C!a3@26aP?+qZ5tKWRv@*6*rg`S$jVGgs7Gin=ZVFoF2?ew*N{)o{nZ zg{%3VKd5iZw#AhNCRaoFf3j@YUnkYQ4;~tr$KYl@%&xb%l!J#=_F^Ig$8R%^-)#&v z3WgAYF(YnBa1UH5U=*}tX6y|Zw83vm74oLaDQq5NqamPl4g-^{F2{K-h}E< z)>Tbq$%Tz<4vXmp!NyncM~Rzrh7k&aEn!p{5zo}(*W=#VN1Qq+tN^%pEwmWq!+4+5 zy;^T$S4)^``*If&CRdp1hbs_|77sje*b*XY@{%E^O5lRuvI z@gAxSsSx8U7z3(7!~fq$aiH9%C}w2$q=R@-bT#etoU_H}n#$+NY;757apQEFjh8?^`B7q+;LBEZTqIhioCd<1|R(oX#OA5(QVo1&$%M`u=51@dRhv$3(!Roh!C zb5=k4eQ+~ya5p*e)u;%?Nw|JW!IGW$ksOt4e?^mlfw%Iw+}I4#ixo8{M>lN-Tg2x3 z2hM3eafbSrDe~LfYgxS{bG8hA@-e#67EmShOn@ZTQ-+Sa+q~K`tJx(EUJ5aRJrKIy zT3J5{-Jt`|nrVgjN^8E9RxGw_^Uz~6Y(03TS?3%%jTkA~bFAYr?ZCqhWsbL@S!uHV zdf#T1nDzE98Cn}c;I##UrW$ode9%8(_;K0L5wbEA5`Uan5h(@#Ely_GsUnS)a1I|A zeO{S+v9MlkTI0C1zCAwd;a4g{Lqn7dxlL3T(AjCgR=a2s{tbAByH=)Pw8c59T zlLdqHee|ck+5&j!bTS@#wOe4qrP6VZAx7c-Iob0NCL^k!Yzv7G?nj~|^W=ZeZ!O`h zf`}Z>T+Zo}C<1*y*(V16bI*;ylZ_)1&$Jj+PrmGEsXb}uh0c*^{QPFy9#}|0R)|&u zP;dDVhnG=KdFI|7GL+B7Zf2MJEZp}t+?OQaYL43TYdT~z0FZ>Gd~oyCa2UeCJV>|d zl*};Ncj8hYd2L*pFTUzLsp;})=ryXG`UUfnusoM>!f8TBUk=F~u6_jv8=Dt+W<+m? zhOWj}Z69~#%a?IIY7`^$+Y1ZtEZhgp0!<8;`ZJZ-1!r4r3N1L8fI{Wi9nDL60`k$o zyZyLoRHWl1cI_(5q7pu!&V7ryr!`7&i_rU;T015PqqmA#zQH#d!QG-Mr`L7Z0_QR+86J#rd|?aV$DO0XuM87 zDH}2Y8xFjZZDwZ48reSRW$?MzFkVB-`}8XCWP|alRYywOic-&KwwWc9n2K*-3gQd- z!DL?(2+1lX9_|@Www%C@QffT+-d!< z7B6*eY`Fsy*2+{~t5Dr_vj{qTVvZp#U8qve&uiRfl97h(Z>07b<3R28`dpfGU*?cy z9ZxNv1n;&-9?G}At)JovT@-1(XtKA8xbQ?+<=+Oz?AoE^-B=|+BWBs!)1{WSf$ut< z5p%nYtaoWyP)ixa5b@~BG2^74$%~8QSxM}P%LQP)Ao%;_yvOU?sjQ2V1T7j4Gg-V+ z(0PW2^Ukw&(;w8{Miz#(t1{l}#o&;_BZasmwzw_C9>7@kAT;ITUCvM1PEqaUrSx#w zF7W8>%8e5_v@&jn@kSv}5oy1*5{Ybk!3=}p=1rS8Iq}2Z1RM>`ka!|;6Ab#{VX`B~ zhtqh|s?*-O-cs3LN+^#Xt;K=4Qy~Z5A=Y}G1K?>=>Awp;uN;7t$O6z2-SdBSWQR5o z{V4tnc=oDSqfURU68buCjHjrC590v-fJ=CJ-oEW|FyQdd`R~)0pIalB6@35Fa+CdQ zybT>6>tWtW+`cgH2WnS3v`-bv<_eU%PfBw8hK6%2|J5M@x4t=9UlAd=?b04r zOR;U_<4{xUWGM_tR-C-R_+xNm<sC~Yr{^Kf|j^I0VWr_yOsA;yrj|9aMu z2KOOe&CpQ|`c>>*OvAi2<4NGNvcQ2`x7MOx)0^Ag@mK5DbDJ;T5rQtmkAS$^NxbnJT@^QET#IXRp?X5L9Cq+m6Dq{dg3;WD2W6b!-V{SUiDyR zS+rjWJ_$Hcf!LZ2RQue!$A?Xha$Z`^TZ<0?`e}#J6s?l>TKyvj&aR5=q*go<@sM2^ z{~b>4C#>)V&0VB%XctX6*%*ae?SqLGOuMWdW6N~sS+;jCTa0P2h%~w+y_pQSu&)4} zMDj02ARb@pPzWBDV7;+kJ$=s6KKK#OihDmk@agXY?me18 z48~<)A*64PdZgOg%on@MFag993%#Gd?Eltsc@%dl%I=AG9m8BryXdkgX5DrR8}>+- z!n0Bv-vhM~=D@TD-49Co9;gk6uN!1vL7zLJwsx&3uL7P1_^P#blG#<`L5?FG$5C=2 zb)awtrjZ6D#V&3Z&$&OIER%qmv;s)`2?gzCX)9xNsNdu+6OLZVz#oGPM?4OQg$MHg zxs1F4^>GUq45*R(PA}jQwrWJr0l;m@vN(~zpG+kWJr0tnLN3W;5Z>2%7DW z{74y{wc3@vLwJ)_;rpROEkXEK$Q{yr?|9SBTv%8*3_v!-&L!vA9Lfcpv18`8udhja zb|Qb-)IfxFy8E1CxQLk?2L89V~Wu z0a!|U2)+fwla7WXpv^-unm3}GZOMcgnh^w4^ApiaJPjVoQPRipKFQmg1)<6(a11ya zt}6?apy+Q1+bVf!k5j7010(ykY6celWt-NWxMv4=2#cVVKxni*GNKWj!Uv-j;3NZe z4-+}t5G&F;-1wqVY}jHPDd_&oKI2L5-N6&}$(V_P2(U|7`2DNE*$;o0zXAMEb`aNs`a(E-BOG!ks)r|K0c38y+)}8 z*AL%p?!GKO&9%u;Y zwE)>YT~_!nWZ2UqWH+(p0O%hNB^}BtD{o?wXgl-6Fh^%24}L3vy#^@JEYA2%tD-I@ zg#hR{Ki=&2!$xKokV^EP^+v--8>!|J99=>5Q^w!vSaR#P%;uTtzw}1w>NBy1@5eJX zW6km*gxoq$i=h6&2rz~*{rC|Xt%w*T{r^h)?s%-*_kAi_N|aI=Z5bJ*A*-QN&(PG z$m|;lXEMxsQyFIcAO>Zl8O0bI9qu0q!W1)Z0fAEL{(w(O7Tomer=O}v-2x}3LOjb@ z%vZo7S-Ns%Y*?>;U7ys+!#soR*}Kjaud)RpnBT&go<= z^p#MDtiT_mA#3;Ql~ya;qU=Q18$zQ%eks>y*Ux25*^oZZ$Ito3KRE>g$G^jz6T})a z+)a_L5g(;)8#hQve4%M!^OrA0=O<1s_ViU`!WBDesVZm)`_#S|Hf-QU;Y2CHo2N!K=6;;M z&nb?idUM0w8}$Oc&92(&}B}FUwcj zX;R4l)-|=ZFt8!KpY~mlFnCAh3^3z19yEByE(q69W63X z_~tN7*u-TD{bQ^mvL$#uAG@ucU97fm86quddTGIe)3q8r9eA2`bBi8DRPsk3 z2t;C?$dSnC=-bc(et8P+B!HeQ8WsnE2Dyf#)B`2B+SX%r*88D^pSJnm`9nAP_qDYR z6`=!me*sTPvf^=V?0y*7&}4b|8(Z1Uq2nF>j?H+e;TE+u){YiukA5~-?Q-E=x_x|Y zMW0aG>iX67iSlE+cWyjt6|yAhfEZab;uEVd$N|{pzpZ}&?a^X|c0UI!5Owo|?ce*i zpQ^%YPsVlWrDDT>cF*UBOCn?l^fy_MmX~1z`mHgai70rFBukh!iKXH6-m%a(-C-u0 zDDSLBSH5B7)yuicoc=t=oSS>-;y;IARdE zkq6OWQ7{Gbfq3Icg!kvJJ$v?CyPgHY&e(EM(Jv3G5)pOEFmBNH?hrb=l?+>R_>`$K zY+7mF6wM5QXBIfG-k4$zqYou4FpG+NY`vA-4y+rs~;FPfIT_u!3# zPo;(ob@mI&M0#NJ4%zUkS<+k)!?Zy?t6fmcDj_W=I<*5IAWCBh{i zO&?v)SRN$)*rdesu40T`j`{KIkf}dZFD?8kEqkk~w#$wLlW?m-S@o){%nNxsc2ew~ z@C#MjP5&J8fO2vX*O7=Mx{jUo6jb!|t-0$f`?)+km&a`g8I~cIac5ns7i{e*vVne( z*6b-u^S{7dc+EJx_kObDG}SY69=-4B(TlBo)2YPLsd(yA%vieH<93d_trMW$yoclx zQwh%F9RUkK6XzX{9zP80w8qlT9BNyLgV9Yz#gc&{akxOHn&@m5k0dNH8I8@r3;X@4EPgGOf>!!mb zh2s-Dc9r+?92vWS=f87zS<8E`_Qcjl`lgI?B#$KRDQN!Y%pJmwuwz6fx=1i(9Qz{0 zf80`MY!4`Ml7b}TzHaFZgY-wI@>llzH^9dv!0bmYhUUm2@hM)m|@CsUn8usgB|sF_g` zBYG~;^ph`#_<{yx4S{P@?Af#*EZxfCMwJb>@F@FOiNS>nA5V3#zUWru4$A_WZ9n>& z0^wnU^!~DuVQL+Yo*+fn5Il82d0;IUCLcC;b^PW2w)Et9f`gx*xxs zw@$gwZ)PW!x*Ael%HxXWxnJFRAK2`93c6rhW`Q{}WqQ@ZoC_OVe#+UON%F3;NK>~^ zQ@P-ppY7&wlZ0v!v{V#r<#n1|2;|>}eev>0?8}MOP+Q{M!Wb%JyE&=*@Dx@ zlYM1M_1QlSNlm&OxS+i(JaD+=s@9)%IOS;v|E6* zUQm?b1=^vZnwnzu>Vu!^1Gk^)>K6Yt77wh+?v&Q}CvrJjITP8X9a)S=&8&h{3X@)V z-OZj6W*@ll^tW?cP&QNMTMth}VD>=GtVN0i9st9uhfaKfsdyx4Q%wur7=7Bk=ef&# zERAs-hP}4^J3CenZ`-+XLhHScPxnS|2NCQ=eKcRm!z;6RcubFq+dl!PhHP#@S_B%3 zCD?=|_zpCt0wgy#N}@X$ZhPS%CF0ZD^w^W<>Vpp}qGaqAX&z&pKhLnuHf-%kr|ePMoFYG;0&F6`|@~aU{e8K`wqNfF5T+O zBE0NjwK6aX8P`6^(8hyh^2*7CkFo!08R8{4JnI+wkZR6XcRbYX^Qzq*HjX+1jqy|8 zw|}n++dOf1o_HjjCi<$>6?;KZ@~36=at@wRF`_yI(U%YyiaS?YL3-~;rV*B3*R4?G zYZr);`5#nlX-JXehnmHnp@{|C%SV@2-P1GhdEt~Gvw5C69HLagGTdF%+D)MvKuGMN z7n#ghql)PGQNXc<3u>VfGy(CtpCaG90qx^1p_zTTVLsh^1M1`_^L*J-DC{@`*wDSx+*m-g-Aa{ z#T6=i-|+oiUDW2I4(l={Q!Ceod>-7UdT#`vlo? zXU_QQ#{OJIE~mOMslmz|)f145qat=(1&ElOwlNsYzTs=yHd;%+rJNQ`cIF zGruWR-Wl2O({fPy3-N#MG2|*hp+k4@9;mU*JF=dN$5jj{sTkV?Gj6Zf?yV02vXS4kW?Rm3J%mhD^JBXy*5j!{`!-aRz?b^L^mywh~(EWjC-C#CVyPfZV-KW9|3Hk4b*NTUy0bJMD z!08%Iyhq8I-0W~2yrfEUuC}br!DZT7*}tyr6l_|#^#kv2IU*r6Eg4_Xt6$^$?qn*n zYSj(AU*;jI9jCX%U)h5`5h^;OkuU>g8XscWBN$mgagsUQEt?$S;ElX~f%K6q(5iJ5jLG)fAjwCNIF54GClQ;#> z4xT6TiO!Wc-^F(!DAOQmkax+sYNK!MYf$EqeSZWqcNqxOc!pvn4cjjslH@x${n!e> zz-`4(>=ho3)+e6H7upl;k|@}Ry8(BfR_j`kHV+v_YF$sP*}!3=~{j z(S17rO%I@&0!BltvMmu7Cj2HWNER0@Szab-*e1DCftBazR^Rn#ZQ~K5#)7vP_ixxU zI!TYi;Ovm;WsdpxY(WoFirf5k)1?<9T_-5+!GPS4KW}Nn$=n$r5d@>ay#v_aHeKbe z*~4n<<7WS6FhW=SOp3e`y5=P~ZT;H&;b1h_51~mJz~ykBlNYMv-QwksmG1!JO~5bG z7ye!r(mZC^Mm<10`|x0GLDj$_5Id?XI3fdf-|Mtonu^AWy%$*gbHFI+5AR=DULbT>5XFAc#xKCI1rZ6^*rGOLCQ zjHZvrE?^%tlN`89jH-WAu#*Jv=c$^0%kwGNhbo+L7&(1IZ0t2!d;8r1PGEr3Q8?)Y;%= z;jyKL<%lt^^GaR7ohG4akL{a+b&h4Rp1IZ$Sg_W;+x`-vB2-2PH8PSa3HvkM)KItR zd$_Uen{S0S@DWG1ObA8^rVPKR$jBb3)Fo|NcH#g=-xBvT7x&`}ScYtI`jAW*r`DBt zHdnwbYa4Kh126@FLr5{BVYza$>y%T&4_8VEHuK(?Q|lWb#QpIp6o zF@mLm0q#Q=P2Zd`DFfmNVx<9HuVV%ZtF2$vTBgCUK#>3xP`kl(%l81jjwTB9gcs2- zYIoWBksAXB$8iysJG%%AO!m!oPxR~xFjf@ zB_It{`1xt+=*U;sFHbk2y_6Og5)`}{|^3F1d)k$CuKJ**nc(H$v>6 zvq|d&4W>0r_tT4@{e&2~ zc5QWiW&OWhCcWUg?sacf&zt^fO2b zH(Z&Ptfvj(7@3kI$hg<;Rpv*TL*rRNsf0?LCcn1bH9Mi0|HkqhG0lazYwVoX7dw_D zo++A=ugWU)Ojk#3*Df-sA^St*L^#^p-!vC~8-W&ydLQUwRQ=w0yYaS)j1wgRFj2t? zk^@L58u>?`P(h9O2qOX>R4+>&J@S%?8Xvy$Tvdhn4zBpMdP@Y3tQeav}^es ztbULMgoX6S_(`#-Vg~_>?(QqDnnr;_0JNQXqjPReOKwrY`kyajvkaz)Rtq5|F=w}67q71z6}Zssl%#rP{@`2_m@oYJNr9|qZbINc1I`8-l(b{Uv5_8w-z z99=^^Ijj_NFaOxu+L~gbJPLc4OW2&1G3tW9&pLVR!_=4%Ct`{8RjQO8lHS=D13f;j z_A)x_)RVNG_^6css+!z*EgJ2c`9A=b*fZDb_iQlD0}*22QQ%^-?OaIGbjA1`huT+DJtqqQ&^wbMM*sGRxSv_`( zH6;Z1*hDe@(5?7Ir96)L^-o*IckaW3vB0SxCgJXG=|8mY&0@bHk`Aw#%e0tCsm^?m z4jepY!U_0Q;5&Ix0v)mQ)+jSh+yhcDNG#{n&8BVrY`S;toA|@ZwkJ)~Ow&x9M+0x3 zN*VNAK9oGJ2s~YA1>yGz(cA#GS*Ln8AWd1IWyb|mOd~K)t}k4#wl5L+P|!{{ooQk~ z4B*>yAi?l_t@WfS92}8o!Ad_oCYtO(%PH7~LpT7a0qiYi5h6XZ9!IV9YTTVSIwdp#S>WuT(e4sE zuG)wad%LbI73xSDm3!jHRUYS|RCor+=vdmNS=PdW9=GpQwp3N9Lub-S%G|$Ova_GH7 z!y6!Rjc9yiMiSQpGv0sFye8EB`4N}uyndv}iSWIl8~pwHmf;4aA(KQj$VEb44Bs0= zJ3huGv}ocs^G7RGhZJsB;8RzQ`SC8#QgO~9xyhD4_%t6)7mhLP{*q_Q@w$#NA~_td z^87S0(C0e(?s_d;Ki09tr(6C?ysumDNWjU)RVC67I*n--8iZTfX!w2Gd>O7s=+w)`(eLY-$FYMLZa)bv`PG>1OB(SzAt6?{ebvJ|S;o#h;@Qhncye7s&O#OL zL5sH&h{HRjB)5-%}S3KK&V)o6EoKOK{>jx*qK#*xasmF4enSCR6xy z()3Y<{h3a&GLMgGpRzKuc864vcn*}4{(cEaysh0)yv%!8{Xk_mBevis%URwxw@Eea zZ*1}_b2XoW^Lcc1agfghWj@$8>~C&Yn$CW57maKjM}k?%&wr-6y&Co}H71H91N#Uc zh6@!0_aDQr2#Dx?XkKVou`=H-wPKI>gRFF<=2(PMkkWq_lq=@kak17x1lYEqrjDH! zHiRiG9^mM~30g$}^^#sjI0o`>lDmkmKOsSAq((z*i-HusOKWoF*Yd)*6XxwV;1bHkeW^EhH zc-hHp5eI#12w2#4HCRw!K%%%k^vgiQQmcCP3vYjsAIYQ*;$GMjN%CkQ}ja za8L`6ndTdbQlt_iFZEJ^FcL6RZsY&kNc&oc67? z2DLz$ZTIWBG0y;$G4M|ZCII$F54rEt-zYy^z|iatOt`JuxCo(m6B151gcxEvBhlhe zQ0DMQ{>QP6X_MGRLt(WTx=6tAVZ`s&8)mzxL zAqM?%A||2dM%Wv%Lts7zvQ^Hq}=aT+W7@1?f0ZO`&@A2l82gKZ;>k z1u41k0obQwHyez%7S#OaAjZ0djx5HaU_)uDHV;Hfd<`MCeydGETx}5ndjs8|3FyBl z;V@0ZdcAi2dhz_=dL$P-?Vk;_{ww*jCEa_|tuu+8fmLH*ztPSB{$3n57_JQ&rOeR1-sk;0%W>0@+b=T6d<+@dE0Otc7=yTyna4@VL{p_=YA14#_32B^`v_QqQ4JgNzgn{21QU9l&?|~EuRLsMJ$2i>|q#34s_Mk zFw27|&uPhX0tMuqda$2u(9Svu3-ILT0xi9G>4~6R;WV~*pCN19%5q!ixQelOf@GfsIlPoo<}4rG7R&8n#Eb54 z63W1~vd}UVwUBE@LBE6~-xL4U+!gGszvHgy598!o%+Zv9va9l&4{{FGds<0R2c8c$ zd04*B@P`e0GDP68t19+f=9uR4t&>bG;2xpzM9*JT;0wxj5HMnqY(WFkibY9nc))qM zCu%aIFF%&9V42=-SSR7B72KXVQ$F9P$6os+I#NY7pWiw9%Q>#z|FGII;`|?=L-K)i zvu4BawZ@cdkYfea$YDM(Otg;~aI2cuj${l}s?b18RD*N7Y))Y1Y8;uHdop?U^t>)? zPy`}b^n72!1i}63mV`ME(UnFXtvhrMD$b($mp22NgwBh4=irYK-2lupG*Wv?Y$_%fD31Nl`diQG|ZUR=xVH*59 zYTHm$DDhmTz4vBEtu`jjZ2~L^>m+ufQ-BDad!BP&TY>SfvhLQG-bRs6Mkhm$2iP+G z&8ey}q#$4==sy`Cn?sF&rM&O6T-4rT z=x{z$0`ESeN*l{Y&udz;cbe<3X2Df(3__?_?#FlT2xAhComgFFrC;f?0{834cr8Ph1ELfmS zvo^mhH!tARW1pQqk$qrjrt#?hFq4O3>7m%3lp?8xDwM!>^vR}ssF^%aGjW^4P@^VZ z5NHSS-FJf9#iM1D3EQ+66Zt8r1`(PPI&H3h6rW!E4Nb9 z?I44I8r5_DW#>;U;?QARtQ9}h)5(1X8ypuIzcQxQjVCKVzuld?>+4sq>Z5r_pFm@1 zlZnC<*$0>kRjB&$AE0#bvfHK0$MCjmd9p&gYRmIOCH3Nk3vq`$`}>NT6FQt%&YR&S zG4aJO*RaT>&XCKTf~DGr&VZ#X8oU2-0P}om;T9=24#0h)DBg*{XcMO|8dr2bs@BS0 z&+K!7NUXE$z({7+bY1=KzP*h_smaq%ejhVC0XU7EM9{DVJC{+Il4p!Tee27%==oK2 ze)(tJjI%DY#P;(_E_{$${9_+Z8C-HRkxF$yG{zl3;)PeJx7|%g6)tMR1e>5g!3!JB zxeRM-wN)kmL)|)c^zAQ^I9tEzoshkx@Im!Y!{3X`14dez}m_!U1{dvRna zzYFS?&0C#}AN2H`q~wSAtO#_ZG1>d>i*);6^-K2NIVz&L=MG)jU~rL|{8287TBfz~ zFyy=m*Rh*ulWaCc-~FZAeMyfF5V^Ba#yhqL+YkQy5>KD@@y&lAQvENlSf`-1vke_lG^R#*~Vna_Gp{^XDeWRvG1ESJ`$sr7t`B^Le>!(Hj{X?WC$3x zcq_Re0W%1L>v?ggV&k8W{M%34E~^;(Q1`D|gs;UU%7H!*=stZQ$ely*+Dyp`$IA|c zwBFYi8Eh|J7&-VbQ7k^j%ouO8v00zKYwtBsU{|xUbyD-SJ-qghA;2uXp=auQ@f2Z? z90C006ljsi8y<*3hnmKPqHGsU0|1j*3iJ`fj>;&Mr(aGgTf{ZaHhy+detNXx47-E9 zmrk>F%rpGFNV2oM$KXi$@b8a=Odt%^6FC>DD~@Q^1VTq-z2;}pD)D1k=U81(vB7_D z_tFxpEMX@2GUI~DF@Dh<&JSebH|4NSiTnBD*0*Db-0Fzj%rpgk5{b;gEzBh|qa!{w zErr-7sFeI5fn5V;KQgG(a~RT-$7$I-gkt^eN-m$C&0lAKb{cDVjY}HV^hT&0P|MJy z1Q(2I5h=o&u~K%;&TE~)E4ipWs15mCF1?Ix;w2>lm;dzB1vnxGb9_?9BPsDiC+U3v zXa)LNMx8K}wsCYYHoY3q)~n9}KzlRU={sge9L3S?x#Yi2RmhCG7@lKqxlP8a@PA(( zc?r_x0gol%hk3 TJSR8_1FSaDY)owZ`beR~y2A;?aM{G+uTJ4VS^rwfghjwPZV^;p#oCWh< zJbE{t?5!=Qgil4tzJh{(LIOZFEGbpBW%zd<0ChRo!kR+wLg+6k3*dgJ>l39A|^iA$yRpD8157Pci-MU^7hL=eGyCVR4)YJ*tnX}4QxdM zd5s)ggfsd}Wf9CnnH0-ic*4ql(~=z?!5IV9=T4-@M?iLg_;VfB?zZ#Fw&Toxy!FbD z?UHNa{lDQzlGCZ!x*!2BL*ihJ^8FF2s`h$_Yq^B=k@-Zx3BDh7Uq1@sDwOna zR6m%!^tINUSn1TiV$g55X9Ubk=Z}_W?bx;FiA)N=&lf8^;iR)8PNa>%;-}UUvQ6d_ z=DLIZo1c6@j7XwXZK8iCb?Va|riOI6V}ZTJ_wTltGefjC%=h5XR6ado-jK>jc6^X#4UheAk3|mz1_07 zaeQlK#j0*Qn?RFlt8;NDwz}!c*xwgRCq_6LQ~AV80-GlXC+F4WUdPOFSnce<=7>^8 zf^s0!MTWi_f*b_eMhzr>**60-(9ik*3hvNL>2+IgAd6S zEUH$(_srOC87|kFOQcxiGpwA*y1FlP?AH}I-Sva@cq<^_sGS%?HFJF5w`F+P> zs|!(8l+f`NM%tyNz3~DY7L00J$hO%uog~U=DFW3N;yxCPWtuzx=DIh@}B2W zg-IUCwU$J{!w|dccoP1AmN3A>+)j*E#%w5reStZ1@JgNoOlSiHhj<$()J^TghKkmz zjN8~7t&cu8%7Wp?@O8^cU5BvXtYz)HBXPf!evrlq-pVMH4S#?1Qhc;F)znn=kBu~r zRbYM+I|pxAh1opol5sh4O|X6We<|@DGY4#vmCz!Bo`3DejVN@5=p~|J_2)cgF4gO98Rb8@(UQ zz@B*55tWEStPPDLxZWX}>p`SksJ}N8`2%bnk}uRIDnAF*!jx(EhRxr)c+KOU$%%hi zt;-&F@N^P8}uH@I}%*68?}kJ=$9oppIYt!y1%tUzz9+l$ zfERo2f1v+l{Qe%CD0Y_9^90M-p32d6K0+%_AcvHCF*YiT*VjTV$v=*uC|h229-y_& z3L~s(BoC&A4c8Jk%&}_3#LFa0|Jl(a%Hgd#0sGGUXS(%4Rv~GD&*=1X*XzdeW>=}l zilyHKZd;LVe*zOmav@mONw<4kss)M#R}AtN;Yb)Z-UV1uh1Up!<8`~M*6D;q$@IN25u$hg&gmz>QI-D(yFf0&NW`_ZmQaBl%uY3cr7i3sWvnoTFF2TxxaXqI{WdF{biM*g#$S-`V zUNpSxGV7X<%idLd->#W`>JShqS^=JE8#qg0*eIkN#I#LfiyZy=1i75|N<=4P?zwYc z5#s^rR>A=>vX;Rlgv$_41@b?Bla?YavHMYh(wAUQSu^TLYAYD!x*FDqCH1sbO!qSC z?bX&1H$ryc0$nq4@*qp=M`NHLrp-3s)CKTkn6{GgV)~-F7?DezNZ_%xsV4-1!IEz- zgq8RrO?;8pv!3-cbsuaZa=TOa^0bSB94P?BLmoNnACP+V$$KHyefZvK!lULSG3^CtqN52EiT#~j-DT|Ts zOtS`2^;6o}r+EoR!QUtO6wldTYclBd5no(OJ2Tub9{Y>FI$r~r$lwMBrJCUx zzr1$JhtOAsE9Bn6_}mXZtG!sXgvtn<8Q4p~3+*L`59cSRg!$qXrEz!|=^bMn;1X5? zw;0oBh{lR`1n=s@Q?M_qbGGMwQqmCNbX5qA-*>)Qp4LjEZ-nUf?sGmZ!r^N)n? z(-Gf}yLSN&OYt6DGn#5g&! zO+lxFfbi;N=OhHb6dxGNXIbg$!e#JIisOj(QYG94-r*W3dh- ziH63@qt&4TxNvLOP9r_QFry-X?C-E>Ndk`){Z0I#P@2=?8)-9HeiV`%W zL|#QIbxR;0fO63d;)p6B<`Bdbz`bDzr723ji~FC`BT0?e_Cl#%3C=9Uf&c{$);S)? zsww}ffSpQm1mkhFqE~oF8<)eu&cpNfzipHbN=pxslJ%)0n*gMVhkp(B@?OqHX-8^n zK(K3M1F&Lt-a?j}77mthFQ~G;=*kgnFW~yix;t~&YE_8ll>C|9#MwYq(4QwMtL+_9z?jfSCSu?rx~DIJ0;s{93I(zvgliaeqE>aN zUl{szlou6`53XnO3!D3ZaZ@ihAMc#J^ojpdu|qHlafrEFxvVz^=ZZDa(8he6Dr8rK zF3D2xo3Z{iAQF1-&^!Z&w~3unFN=9;kWqb_HPLs_6(G(%&JJP{e$D9jEQFcgRR=LF zVFy1rPQp?8b<68J{xY^JU?kB7u4_A%ge;RU6H-($#r8eD5OOL0UU!0C$`N#nY!}?^HC2_*cLgwtx4k2{*sH{wD^*Q(nh%pw(vXv{bCB!$o4Y`t$ERr*1 z*KK$*(I_@(3>Vt0UMN8Vn5#4LC60M-Zpd?+kk!)I4yr5>Z!1Y@JMd{ULSeC|c|fIs zA4tD+h|#!9Y?N1+3ISMzAd%S%7e2K8h?fzmxev##8)*P=6EqGC1%3p`<^!FzcaU#a z;wfop-Bva+QUL9t)O8HXS;{F|TpYOP&AU?lpmh~Cj1u6H$TvvT_-H@kX#a%=1;c_$ z5aOYb-UZA|epEv%DqIqN2vpA?Bmih+CmT5+OESwD2t;N(h_PzD3&+&$rQmSmn_8|b z2*AaT+T>V8)W5;i$;WMSHa2=%Ye_vexECbC6vanOXTm1nwx7UmN^P*CGI&J{^W)CY z#|gp13mJu4hc2EiUVm@egs!P>GVvEIlWWs}z}Su+#C%*{NEVVKNM}RTORm@R@VAhu z#7#H@hNtdR%hxz>R52OqDiTJ#7^~AWQ)K71VI9NIDhv88%uCc!+iV5bA^1Cn0V5PC zKsa2YhALx;n~lYJ10c@G%J3WfL>I<}0?%EPnpr{+~d&ypch|cI}AnemwPCm0R3&l-#S)MyiEy9TEg{ z{1p|X$fjAb#4 zv>}Z+V2jSf)t&DVO<&GIPD~Rs9DVY!tsZFJ-vXaln4p1yDPuld84rXUN>F$2-1%;` zk{s}11Yctk2G6vkTw!D;oseZVqHiGeZ2fsI48;+#M6lh{JKqpL{8lCCUP^lIM!aNu zNZ~Tq!g0YeGW z@>APxl{~CB$Z(K~nPu);Yq<`e3e7IVJq3E*xSTUjxCOuqz%sfDBOTiQMB)EUTBHAk z^E>DMnVv&J>TqRfGjov<>d;W4>{VNLZ{iY2YofZGxdHV>5kyX51jf)dHGHD$2!I$Gu_jO>NOodQ_FrE9=n4_W0HrunwUR zUI#90GXxmyD>aPHw%*l-Co@Q?Zcx~;^q?N05{gbenlgag%tjy-Apzwgs0?gj@RK1M z1XSadfJb4mM&pdJ8&L#H)x5FJm1My-VPbzcEGW@C@YwUU9H1XVXzdBmSUKYRlNk{!4M;gjLT`D6lifmr5O4}2D35?go{{k!4nPPRe3IAKw!hk zb0`ej-1{HFwqFasNR~j;=ZP0Hj^iP~nDbOpMvte~vC^50$q9xbWsHvKK%0@eq9W0~S^+$d{W>wmq?Kn-@6zq`j+y`}lC~)@@4k=7KgSBssf22@M5Z@oi^2O9t zh2O{GJg4>*ORPEo6nsQig8+kYBwV2EU&0za)SE^K6u2^#kXTYBLGG!L$w7O7I znzm^vLTBC)m}KE91ROrFGFg^acd~ZynPJ@}fWHI77XlY(zza&4-`MZ136 zlSw@S$~z^1_cfy2nXLk)$aCX@uI>NCU%IX(w<#rL{`~)j^q#STo_DdkV)d`F;Ahu1 LHKn*Mh8O-HZ*G@X literal 0 HcmV?d00001 diff --git a/tamingllms/_build/jupyter_execute/markdown/intro.ipynb b/tamingllms/_build/jupyter_execute/markdown/intro.ipynb index da814b1..536ada6 100644 --- a/tamingllms/_build/jupyter_execute/markdown/intro.ipynb +++ b/tamingllms/_build/jupyter_execute/markdown/intro.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "4e9e743c", + "id": "b344321e", "metadata": {}, "source": [ "(intro)=\n", diff --git a/tamingllms/_build/jupyter_execute/notebooks/evals.ipynb b/tamingllms/_build/jupyter_execute/notebooks/evals.ipynb index 92f8922..fe9dc77 100644 --- a/tamingllms/_build/jupyter_execute/notebooks/evals.ipynb +++ b/tamingllms/_build/jupyter_execute/notebooks/evals.ipynb @@ -771,6 +771,244 @@ "\n", "#### Model-Based Evaluation\n", "\n", + "Traditional metrics like BLEU or ROUGE often fall short in capturing the nuanced, contextual, and creative outputs of LLMs. As an alternative we can consider a \"Model-based evaluation\" approach, also known as **LLM-as-a-Judge**. This is an approach that leverages language models themselves to assess the quality of outputs from other language models. This method involves using a model (often a more capable one) to act as an automated judge, evaluating aspects like accuracy, coherence, and relevance of generated content. Unlike traditional metrics that rely on exact matching or statistical measures, model-based evaluation can capture nuanced aspects of language and provide more contextual assessment. \n", + "\n", + "An LLM-as-a-Judge approach involves similar steps to the general evaluation design we have discussed:\n", + "1. **Define Evaluation Criteria**: Establish clear benchmarks, such as relevance, coherence, accuracy, and fluency.\n", + "2. **Prepare Prompts**: Craft effective prompts to guide the LLM in evaluating content against the criteria.\n", + "3. **Run Evaluations**: Use the judge model to score outputs. Consider using a large and/or more capable model as a judge to provide more nuanced assessments.\n", + "4. **Aggregate and Analyze Results**: Interpret scores to refine applications.\n", + "\n", + "The key difference compared to a metrics-based approach is that an LLM-as-a-Judge approach allows for more nuanced assessments by considering criteria defined in natural language. This enables evaluation of human-centric aspects like creativity, logical flow, and contextual appropriateness that are difficult to capture with traditional metrics. The judge model can understand and assess complex evaluation criteria expressed in plain language, similar to how a human evaluator would interpret and apply assessment guidelines. Additionally, LLM-as-a-Judge approaches has an added step of prompt engineering to define the evaluation criteria and prompts." + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "from pydantic import BaseModel\n", + "from typing import List, Dict\n", + "\n", + "class JudgeEvaluation(BaseModel):\n", + " expertise: int\n", + " coherence: int\n", + " fluency: int\n", + " similarity: int\n", + "def evaluate_with_llm(judge_model: str, candidate_summary: str, reference_summary: str) -> Dict[str, float]:\n", + " \"\"\"\n", + " Use an LLM to evaluate a candidate summary against a reference summary.\n", + " \n", + " Args:\n", + " judge_model (str): Name of the model to use as the judge.\n", + " candidate_summary (str): Generated summary to evaluate.\n", + " reference_summary (str): Ground truth or benchmark summary.\n", + " \n", + " Returns:\n", + " dict: Dictionary containing evaluation scores for specified criteria.\n", + " \"\"\"\n", + " prompt = f\"\"\"\n", + " ROLE: You are an expert evaluator of SEC Filing summaries. Evaluate the following candidate summary against the reference summary on a scale of 1 to 10 for the following criteria:\n", + " - Expertise: Does the summary look like it was written by an expert analyst?\n", + " - Coherence: Is the candidate summary logically organized and easy to understand?\n", + " - Fluency: Is the language of the candidate summary clear and grammatically correct?\n", + " - Similarity: How similar is the candidate summary compared to the reference summary?\n", + "\n", + " Reference Summary:\n", + " \"{reference_summary}\"\n", + "\n", + " Candidate Summary:\n", + " \"{candidate_summary}\"\n", + "\n", + " Provide scores in this format:\n", + " Expertise: X, Coherence: Y, Fluency: Z, Similarity: W\n", + " \"\"\"\n", + " completion = client.beta.chat.completions.parse(\n", + " model=judge_model,\n", + " messages=[{\"role\": \"system\", \"content\": prompt}],\n", + " response_format=JudgeEvaluation\n", + " )\n", + " return completion.choices[0].message.parsed\n" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def evaluate_summary_models(judge_model: str, benchmark_model: str, test_models: List[str], input_text: str):\n", + " \"\"\"\n", + " Evaluate summaries generated by multiple models using an LLM-as-a-Judge approach.\n", + " \n", + " Args:\n", + " judge_model (str): Name of the model to use as the judge.\n", + " benchmark_model (str): Name of the benchmark model.\n", + " test_models (list): List of model names to test.\n", + " input_text (str): Input text for summarization.\n", + " \n", + " Returns:\n", + " tuple: Evaluation results, model summaries, benchmark summary.\n", + " \"\"\"\n", + " benchmark_summary = generate_summary(benchmark_model, input_text)\n", + " model_summaries = [generate_summary(model, input_text) for model in test_models]\n", + "\n", + " evaluation_results = [\n", + " evaluate_with_llm(judge_model, summary, benchmark_summary)\n", + " for summary in model_summaries\n", + " ]\n", + "\n", + " return evaluation_results, model_summaries, benchmark_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Example Usage\n", + "model_benchmark = \"gpt-4o\"\n", + "models_test = [\"gpt-4o-mini\", \"gpt-4-turbo\", \"gpt-3.5-turbo\"]\n", + "judge_model = \"gpt-4o\"\n", + "\n", + "evals, model_summaries, benchmark_summary = evaluate_summary_models(\n", + " judge_model, model_benchmark, models_test, sec_filing\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Apple Inc.'s annual report for the fiscal year ending September 28, 2024, details its business operations, financial condition, and product lines, including iPhones, Macs, iPads, and wearables, and incorporates forward-looking statements regarding its future performance.\"" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "benchmark_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Apple Inc. filed its annual Form 10-K report for the fiscal year ended September 28, 2024, detailing its business operations, product lines, and financial performance.',\n", + " \"This Form 10-K filing by Apple Inc. for the fiscal year ended September 28, 2024, is an annual report detailing the company's financial performance, including registered securities, compliance with SEC reporting standards, and contains sections on business operations, risk factors, financial data, and management analysis.\",\n", + " 'Apple Inc., a California-based technology company, reported an aggregate market value of approximately $2.6 trillion held by non-affiliates, with 15.1 billion shares of common stock outstanding as of October 18, 2024.']" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[JudgeEvaluation(expertise=7, coherence=8, fluency=8, similarity=7),\n", + " JudgeEvaluation(expertise=7, coherence=7, fluency=8, similarity=5),\n", + " JudgeEvaluation(expertise=4, coherence=5, fluency=7, similarity=2)]" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "evals" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_1652501/1775618912.py:14: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + " plot.show()\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Convert evaluation objects to dictionaries\n", + "evals_list = [\n", + " {\n", + " \"expertise\": eval.expertise,\n", + " \"coherence\": eval.coherence, \n", + " \"fluency\": eval.fluency,\n", + " \"similarity\": eval.similarity\n", + " }\n", + " for eval in evals\n", + "]\n", + "\n", + "# Visualize results\n", + "plot = visualize_prompt_comparison(evals_list, models_test)\n", + "plot.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Limitations\n", + "1. Potential for the evaluator model to share biases with the model being evaluated\n", + "2. Difficulty in validating the evaluation model's own judgment\n", + "3. Computational overhead of running additional model inference\n", + "\n", + "- **Bias and Limitations of LLMs**: If the judge model has biases, these might affect evaluations.\n", + "- **Interpretability**: LLMs may not provide clear rationales for their scores.\n", + "- **Dependency on Prompt Quality**: Results heavily depend on well-crafted prompts.\n", + "\n", + "The LLM-as-a-Judge strategy offers a scalable, nuanced, and efficient solution to evaluate LLM-based applications. While it does not entirely replace human judgment, it significantly augments evaluation workflows, especially in scenarios requiring consistency and scalability. Future improvements could include integrating human oversight and refining LLMs for domain-specific evaluation tasks.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", "#### Human-Based Evaluation\n", "\n", "Human assessors can judge aspects like fluency, coherence, and factual accuracy, providing a more comprehensive evaluation. However, human evaluation can be subjective and resource-intensive.\n" diff --git a/tamingllms/notebooks/evals.ipynb b/tamingllms/notebooks/evals.ipynb index 59d3ec7..0a30d6a 100644 --- a/tamingllms/notebooks/evals.ipynb +++ b/tamingllms/notebooks/evals.ipynb @@ -771,6 +771,244 @@ "\n", "#### Model-Based Evaluation\n", "\n", + "Traditional metrics like BLEU or ROUGE often fall short in capturing the nuanced, contextual, and creative outputs of LLMs. As an alternative we can consider a \"Model-based evaluation\" approach, also known as **LLM-as-a-Judge**. This is an approach that leverages language models themselves to assess the quality of outputs from other language models. This method involves using a model (often a more capable one) to act as an automated judge, evaluating aspects like accuracy, coherence, and relevance of generated content. Unlike traditional metrics that rely on exact matching or statistical measures, model-based evaluation can capture nuanced aspects of language and provide more contextual assessment. \n", + "\n", + "An LLM-as-a-Judge approach involves similar steps to the general evaluation design we have discussed:\n", + "1. **Define Evaluation Criteria**: Establish clear benchmarks, such as relevance, coherence, accuracy, and fluency.\n", + "2. **Prepare Prompts**: Craft effective prompts to guide the LLM in evaluating content against the criteria.\n", + "3. **Run Evaluations**: Use the judge model to score outputs. Consider using a large and/or more capable model as a judge to provide more nuanced assessments.\n", + "4. **Aggregate and Analyze Results**: Interpret scores to refine applications.\n", + "\n", + "The key difference compared to a metrics-based approach is that an LLM-as-a-Judge approach allows for more nuanced assessments by considering criteria defined in natural language. This enables evaluation of human-centric aspects like creativity, logical flow, and contextual appropriateness that are difficult to capture with traditional metrics. The judge model can understand and assess complex evaluation criteria expressed in plain language, similar to how a human evaluator would interpret and apply assessment guidelines. Additionally, LLM-as-a-Judge approaches has an added step of prompt engineering to define the evaluation criteria and prompts." + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "from pydantic import BaseModel\n", + "from typing import List, Dict\n", + "\n", + "class JudgeEvaluation(BaseModel):\n", + " expertise: int\n", + " coherence: int\n", + " fluency: int\n", + " similarity: int\n", + "def evaluate_with_llm(judge_model: str, candidate_summary: str, reference_summary: str) -> Dict[str, float]:\n", + " \"\"\"\n", + " Use an LLM to evaluate a candidate summary against a reference summary.\n", + " \n", + " Args:\n", + " judge_model (str): Name of the model to use as the judge.\n", + " candidate_summary (str): Generated summary to evaluate.\n", + " reference_summary (str): Ground truth or benchmark summary.\n", + " \n", + " Returns:\n", + " dict: Dictionary containing evaluation scores for specified criteria.\n", + " \"\"\"\n", + " prompt = f\"\"\"\n", + " ROLE: You are an expert evaluator of SEC Filing summaries. Evaluate the following candidate summary against the reference summary on a scale of 1 to 10 for the following criteria:\n", + " - Expertise: Does the summary look like it was written by an expert analyst?\n", + " - Coherence: Is the candidate summary logically organized and easy to understand?\n", + " - Fluency: Is the language of the candidate summary clear and grammatically correct?\n", + " - Similarity: How similar is the candidate summary compared to the reference summary?\n", + "\n", + " Reference Summary:\n", + " \"{reference_summary}\"\n", + "\n", + " Candidate Summary:\n", + " \"{candidate_summary}\"\n", + "\n", + " Provide scores in this format:\n", + " Expertise: X, Coherence: Y, Fluency: Z, Similarity: W\n", + " \"\"\"\n", + " completion = client.beta.chat.completions.parse(\n", + " model=judge_model,\n", + " messages=[{\"role\": \"system\", \"content\": prompt}],\n", + " response_format=JudgeEvaluation\n", + " )\n", + " return completion.choices[0].message.parsed\n" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "def evaluate_summary_models(judge_model: str, benchmark_model: str, test_models: List[str], input_text: str):\n", + " \"\"\"\n", + " Evaluate summaries generated by multiple models using an LLM-as-a-Judge approach.\n", + " \n", + " Args:\n", + " judge_model (str): Name of the model to use as the judge.\n", + " benchmark_model (str): Name of the benchmark model.\n", + " test_models (list): List of model names to test.\n", + " input_text (str): Input text for summarization.\n", + " \n", + " Returns:\n", + " tuple: Evaluation results, model summaries, benchmark summary.\n", + " \"\"\"\n", + " benchmark_summary = generate_summary(benchmark_model, input_text)\n", + " model_summaries = [generate_summary(model, input_text) for model in test_models]\n", + "\n", + " evaluation_results = [\n", + " evaluate_with_llm(judge_model, summary, benchmark_summary)\n", + " for summary in model_summaries\n", + " ]\n", + "\n", + " return evaluation_results, model_summaries, benchmark_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Example Usage\n", + "model_benchmark = \"gpt-4o\"\n", + "models_test = [\"gpt-4o-mini\", \"gpt-4-turbo\", \"gpt-3.5-turbo\"]\n", + "judge_model = \"gpt-4o\"\n", + "\n", + "evals, model_summaries, benchmark_summary = evaluate_summary_models(\n", + " judge_model, model_benchmark, models_test, sec_filing\n", + ")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"Apple Inc.'s annual report for the fiscal year ending September 28, 2024, details its business operations, financial condition, and product lines, including iPhones, Macs, iPads, and wearables, and incorporates forward-looking statements regarding its future performance.\"" + ] + }, + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "benchmark_summary" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Apple Inc. filed its annual Form 10-K report for the fiscal year ended September 28, 2024, detailing its business operations, product lines, and financial performance.',\n", + " \"This Form 10-K filing by Apple Inc. for the fiscal year ended September 28, 2024, is an annual report detailing the company's financial performance, including registered securities, compliance with SEC reporting standards, and contains sections on business operations, risk factors, financial data, and management analysis.\",\n", + " 'Apple Inc., a California-based technology company, reported an aggregate market value of approximately $2.6 trillion held by non-affiliates, with 15.1 billion shares of common stock outstanding as of October 18, 2024.']" + ] + }, + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[JudgeEvaluation(expertise=7, coherence=8, fluency=8, similarity=7),\n", + " JudgeEvaluation(expertise=7, coherence=7, fluency=8, similarity=5),\n", + " JudgeEvaluation(expertise=4, coherence=5, fluency=7, similarity=2)]" + ] + }, + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "evals" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_1652501/1775618912.py:14: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n", + " plot.show()\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Convert evaluation objects to dictionaries\n", + "evals_list = [\n", + " {\n", + " \"expertise\": eval.expertise,\n", + " \"coherence\": eval.coherence, \n", + " \"fluency\": eval.fluency,\n", + " \"similarity\": eval.similarity\n", + " }\n", + " for eval in evals\n", + "]\n", + "\n", + "# Visualize results\n", + "plot = visualize_prompt_comparison(evals_list, models_test)\n", + "plot.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Limitations\n", + "1. Potential for the evaluator model to share biases with the model being evaluated\n", + "2. Difficulty in validating the evaluation model's own judgment\n", + "3. Computational overhead of running additional model inference\n", + "\n", + "- **Bias and Limitations of LLMs**: If the judge model has biases, these might affect evaluations.\n", + "- **Interpretability**: LLMs may not provide clear rationales for their scores.\n", + "- **Dependency on Prompt Quality**: Results heavily depend on well-crafted prompts.\n", + "\n", + "The LLM-as-a-Judge strategy offers a scalable, nuanced, and efficient solution to evaluate LLM-based applications. While it does not entirely replace human judgment, it significantly augments evaluation workflows, especially in scenarios requiring consistency and scalability. Future improvements could include integrating human oversight and refining LLMs for domain-specific evaluation tasks.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "\n", + "\n", "#### Human-Based Evaluation\n", "\n", "Human assessors can judge aspects like fluency, coherence, and factual accuracy, providing a more comprehensive evaluation. However, human evaluation can be subjective and resource-intensive.\n"