From 0486a4b4993da7e8908314bf7b88fa9210ab2359 Mon Sep 17 00:00:00 2001 From: SrsBusinesx <90284404+SrsBusinesx@users.noreply.github.com> Date: Sun, 5 Feb 2023 23:36:42 +0100 Subject: [PATCH] change --- .gitignore | 4 + .vs/ProjectSettings.json | 3 + .vs/VSWorkspaceState.json | 14 + .vs/slnx.sqlite | Bin 0 -> 118784 bytes ...643815af-76c4-4837-b969-d697d2a8e66c.vsidx | Bin 0 -> 1524 bytes ...7b3bb1f1-db2b-4b44-a74a-8d6d38f8c8dd.vsidx | Bin 0 -> 81877 bytes ...a1c9ce19-b76b-493c-abae-90bbb908dc34.vsidx | Bin 0 -> 21168 bytes ...dc1d22eb-9771-47ac-8f24-f0b617c2ed70.vsidx | Bin 0 -> 967655 bytes .../FileContentIndex/read.lock | 0 .vs/stable-diffusion-webui2/v17/.wsuo | Bin 0 -> 25600 bytes optimizedSD/ddpm.py | 1057 +++++++++++++++++ optimizedSD/openaimodelSplit.py | 807 +++++++++++++ optimizedSD/optimUtils.py | 73 ++ optimizedSD/samplers.py | 252 ++++ optimizedSD/splitAttention.py | 280 +++++ optimizedSD/v1-inference.yaml | 114 ++ patch_p2p.patch | 49 + scripts/external_masking.py | 271 +++++ scripts/prompt_matrix.py | 47 +- scripts/xyz_grid.py | 21 +- special_start_medvram ohne xformers.bat | 8 + special_start_medvram.bat | 8 + webui-user.bat | 3 +- 23 files changed, 2960 insertions(+), 51 deletions(-) create mode 100644 .vs/ProjectSettings.json create mode 100644 .vs/VSWorkspaceState.json create mode 100644 .vs/slnx.sqlite create mode 100644 .vs/stable-diffusion-webui2/FileContentIndex/643815af-76c4-4837-b969-d697d2a8e66c.vsidx create mode 100644 .vs/stable-diffusion-webui2/FileContentIndex/7b3bb1f1-db2b-4b44-a74a-8d6d38f8c8dd.vsidx create mode 100644 .vs/stable-diffusion-webui2/FileContentIndex/a1c9ce19-b76b-493c-abae-90bbb908dc34.vsidx create mode 100644 .vs/stable-diffusion-webui2/FileContentIndex/dc1d22eb-9771-47ac-8f24-f0b617c2ed70.vsidx create mode 100644 .vs/stable-diffusion-webui2/FileContentIndex/read.lock create mode 100644 .vs/stable-diffusion-webui2/v17/.wsuo create mode 100644 optimizedSD/ddpm.py create mode 100644 optimizedSD/openaimodelSplit.py create mode 100644 optimizedSD/optimUtils.py create mode 100644 optimizedSD/samplers.py create mode 100644 optimizedSD/splitAttention.py create mode 100644 optimizedSD/v1-inference.yaml create mode 100644 patch_p2p.patch create mode 100644 scripts/external_masking.py create mode 100644 special_start_medvram ohne xformers.bat create mode 100644 special_start_medvram.bat diff --git a/.gitignore b/.gitignore index 0b1d17ca..e360cc9e 100644 --- a/.gitignore +++ b/.gitignore @@ -33,3 +33,7 @@ notification.mp3 /test/stdout.txt /test/stderr.txt /cache.json +special_start_medvram.bat +special_start_medvram.bat +special_start_medvram ohne xformers.bat +webui-user.bat diff --git a/.vs/ProjectSettings.json b/.vs/ProjectSettings.json new file mode 100644 index 00000000..f8b48885 --- /dev/null +++ b/.vs/ProjectSettings.json @@ -0,0 +1,3 @@ +{ + "CurrentProjectSetting": null +} \ No newline at end of file diff --git a/.vs/VSWorkspaceState.json b/.vs/VSWorkspaceState.json new file mode 100644 index 00000000..27f8c4b4 --- /dev/null +++ b/.vs/VSWorkspaceState.json @@ -0,0 +1,14 @@ +{ + "ExpandedNodes": [ + "", + "\\.github", + "\\configs", + "\\extensions-builtin", + "\\html", + "\\models", + "\\scripts", + "\\test", + "\\textual_inversion_templates" + ], + "PreviewInSolutionExplorer": false +} \ No newline at end of file diff --git a/.vs/slnx.sqlite b/.vs/slnx.sqlite new file mode 100644 index 0000000000000000000000000000000000000000..7e160e1a1966ac2bdf4372a12af502258a0fffe0 GIT binary patch literal 118784 zcmeIb34B~t^*Datyf<&w_g*t;nyqQ3O-mcfq)pN!Ed@)OrVzR(ZK0GhOlBs@w3C@( zW|B56!jygA6#)@YHU$w>6cI&~FDQb36;Tuf6$MvZkgo{n|D1c@K9iOo{{H-a`g{4b z_s-mN?!D)pd+u_U_hx9z`cyF)9?9m%W5sYMnL#*?92E`|LKOJl1pl?aYWN^%Um)j9 zpQrn%khYzjZbVkzLY$EDR`AZ?jKDhoWxk8OKk@M57XC`to326EvC}o-l>ggsz>AcY z=F6Vi<04#XODdB{?i-pKAI_%NBu7%2R56v!MA^s8=-N~|Igp4BR6H zuIWEMyz^bPu}kuY;cwH%a{OK4MLVtC?rJU7NS@k0AoJ+TWNwU&Co2;tAA~rg=0Qk8 z#9iUOP3za=ST}C!>mBNEJ@?3Y)$98!j9l_BVtgrM z;y_{-@ONwf(fxzr&4U9QdIxue*Y)oR_io#|X<#EXyP<#MR-g+0Z(G0qFtwG<`RrsW zk<6QGYd8!ACtgeif)d{xoRjaagBAuSvG7(FsMpDT{r3S3?q19Ul zQeyB+8?grMjmMLPLTWgb#v$r#wWHZ&unf-_vYCOnP==-o#pJloLVFRiGHld-FT7lz zjmL0(4rcdGKL8D>FPoki&y?dy{?^ixfTuPJ>ncju6{R#D%Vd)IzF2%L87(KBtui}e z(7MX(;Az`2tvP!gkiGKWceS3q%}-a{dAsO}v)8hJ4_H^69Sr?zE6xrwubFqT;?xPP zM01(sSXLbE_uvBaugQzHtj&Yc%a!sNnyW2NsRbBwM$yL{R)*tty^p_iiuXh2=lAcx^3gYmTmgUqv7b4 zOyZ@%)Pcbnqm?j{Z5xRW-JZ-BV4;=m{QHU5Q`_3goxPIEq1G5{-ulgFl|d`eB!L>h zJW20D@|a}k1he57+w9VV?y_3H`cU6ZWt_6ZJ)YYBh&E+*L5^;Y<&&9W6t`_V%v*8( z>{#X&OjBt`!wW;D)A=ws&L|1?3Mk8^)uN|%5A1wX#?EJ2g=*L3HBI}U3EiWPN4)~s zs~x1ZgN*F}gQ#(vuSI3uB3CLCEFOelqvk<~tHk)$vyTzjCf#Rj(k5=%>2zBch#hQN zB6iSwTPloZL(1R9O=Q|RF!nmSkKug^|K7uu;9uL}2MWlWUE$RO<=4RVu|jdva3PtW zOv1Iu*m>34Vt7se+TLyJw}#^rdAeeY+BOY~Jj;7(+Z(x3GhHS_$zm~;8KrAly>GJ; z!75MXcvOt&b)Qw3Zqc@Gc8Rr%7jrwP{LrlBBz$TZ<4k>mY#rlv`ObS(ABE^5~O1A2Sj;Q z`L1-gbYbux@WuIaIN)%=;ef*dhXW1=91b`fa5&&_z~R8Z3kMd80*Q3?<&&{uGO;PY zEtkL#OFP=&U&qpp&TxD8;hjB)FY73I-EPuX+6DHi-N|^dFPj-jjZWmLA$$mw+f+Px z8Y8Cl-l-5u%aZclb3U|37rlaa)Vj`ogtS0b{arz-~C zL36R5uFgouNZ0c2;gR8yr9C~7#7MlSYeoBt$nr!CSTMXS9vMz7>x#5@cO^Q8<0IW8 z-R+TNS9@3YvgAl)S=Vyp_(*$Xc~8d(jIL*-t1FgV(G5IKCYHA^TehMn(z&#&E3&LR z-X2*ol3W^r&f@VEU7bri+m}X0db;Avdxn=r5{WJ#e58A6WJNd3T|6<8SlYcDM&8je z%O#K{3Y89!L-b1ZWhXMlj#->Q7S;}d2WC8`T4meYI@`KX|92_R6Xh?EIDZZY91b`f za5&&_z~O+y0fz$)2OJJK9B??`aKPcfza0l^Tztf3k8k0s103JTsfH!d52F&5F`|qq zA61@H9#+m!Ui-Hjs6(*B0fz$)2OJJK9B??`aKPb!!vTi_4hI|#I2`!Dgab4A2xkvS z5u5ow?f{`DZiF8oB1CB9S8~$?gYY%{60R%^z%_$k=(7X?;IsKI<*&%4Cgm;Vugc}h zgmRLyMrl^u@-O7?$e)*QluL3#-YECTbEJPrKajp4-6WkaWuz0NC6W|;J@|a^8^POx zrw50FeZfURA@E}0k-&9J$pSvoB_p+xWe4;xu>|#a@TUFaVK-V+&s=T=M0f7=6qrr9)L}!PNlIwZMmtC_b0+h z@yHK<)^xf^S^=KQ6qEUUb`(O1Ea1~r@OUnpFGk0***#`({i!0Ei?zo`JK(<=R5vA( zW(tapCJScB?0q6x$a%#vcuFy!Nf!5J^Lq+9L3Mjsy|Gwf%vx{GBpb@;NNzNiiH>Iz z$+WrM_6d<}fgVSb@Hj3VXfzkg!$U1FvO+YT%}wPXw8%2Nc}0Zyqn24# z(cElnK_tC^liXL#$D$g&QH^>tYB(>FC1t2)jJi|U=xAeBuH=v_w3}oGpP;lrTe2eQ zLTDkck3Aa8$H&Z#&&eJwtR+ZaACG zPn0vhakoeom{H7~&Py>C$6>ngJsin=c?0!h*u7UYaCC8)J<8Yu(wmOLLroKw`3sGR zq#7#5aw)w=eUde{y|+IS%jNRfeN~#UhY}1OKzdnoTqF@_0wUMog#?jAYGh;r*{>ti z4I|gQ1_N|RTTCSDVBDK0iedBm3XfoLTzD**Pqr2J6=!JO&pcTqwSYg7YTI3qw9+O(&SZ@L*qTykKd42Wvew4z)ML3VYV3_L6E4 zwdvTDxs}wAcbNh#y|LnWI;hD;^F}s6%G$^Tjr43QOpfXZ4I3DNBiStMa@NX= z*NdcI<4#1|xFVTsBp%BrY&|VpCz2z}krC6{>bzss^$ZYfE0?Dd)0WE^RLvP+tSRh; z*P;hB+UtrbZltj|I`pUM>rdgc0l zwx1-@vt}tjSesg~LL@6R=`qeoJKF5!s<0;t zhE#NE^tAM-Tu(&DQoDgQ(L^FQ9-V9lqT4j2h22a}3p!G4qL_teUEz4in-OPqSw^Qf zP`}JRIvq5(lO1(wojh&Qb(ES8k<{a90g^p17|^JyX;+Km6C3-t>ctC|B3r!E%(sqK zy+kB6fVLjEY81Aqg=>b4eildAlAdgjq%ye}?3wUzF?<|>qXr)LZJUaXr#%``;ltSW zMv*IG%wNp5s8ps<%umFNkz8tD2mH6Tv-nWfX)Ikdj>qXbo!`ou+&*+1Uh8sjv4WEo zZe6E7qhmO~@kjZ*}A`>mb^{hZCo2NC?atM_U&2RDR5(TX&00o$-fAYOhVkJmgEX*?a)8mgbqgaY<*2$64_GJ%>}7zq%$4ps3M zYysEJW48mm#Ezu1dkZeD&4qKBq?##%L5%0p$d2)Zj@T5&9=zhf(9pL2=+^!XoAHfF zI(SwyoRGvPQr5H;#lHYk zfrRw~ef=AU`YpZ7toL+mB17--S~qnP2qQFT?EM-f6l6@tJAzgg4&bbMQ9V)hh6pU7 zG;9nSMxCFvXJBZM79T8Dpbn%UmCt67laalJbO&8P8d9BCtv)`SOeA2x(Fa%KVQgZn zMlY@tv4T(R+q9;C({UU72Zyw#s@!n@23p%Db>v!saRIjOG;C-2xQ1KDvsT(h;l*mB znQT6(L26vATZD{F3~R+9jxnbVl>NF=4$|5)T#$0gi;$Ap%8SZ(l*grJ??v4G{yEY& zz5D$4cvIZP-Yv=(r7tOW`~BXpc#rb7dK-Ly_q`190%v=Jp1*lsREo+j-}gLE`LFP2 zJ$HF73cTTa7NR1JX7(D1@7bWKg6VOfpnpGoOo0) z8Td(HIM5(Q#M!=3@RqO-7m?Xly7tw-Mi!~f;$4=32YC@ z?(e$qc3&F&P@pw%qrSh!udNZ2h52`h#9LWqBp|0Vw|{?q*B z{8{{NekZ@ydzW;Ayr1vkYl9d2AM^j!|C~I<6M2XC@2)?)e(wFF>xZt#T=%*@;yTl{ z!_^hI&*kG@m zJ>P{zxon{bS1kI{vJ4s}$Y&SxI}l>K5tZ$8hMuuUP-y8i-wC^cc!M`LtRZhudK`gWDS7-c!XdKwKyt2kit(?)LMwP=X&n zrSNlIu;r=N7xGDoZ*t-5NGL<@n#C`1l?{^I+06I43KPSiPsc#BDW>94L;Hb7@4z{s zn>Z!l_L=-*S78j^43vn%%SAx>1Dx9^4lTs5pFq;#PBs}!Mw!x$r5~qAv=qPII)`6{ zNCkMI70hBGx<}Wx5qwJ{zrq4WK1`-)cQ-fiJ$9JNjgM9Ht!5B5byFSRiDgW%fOYg( z2f#;>nK}SbZ$utJiF)PK@9F|-;m+!~k6R85)Mc^s`+pyV!NUos$(4#ww3KpCUSn+bodRB}^n_;-f zQx;rCXP+r)6_)6wxa`ymLKN@x6>u&=X;*QuuZwYqD8xq4CPXg6j^Uw5IIs;H83Hau z*<>mg8U*3FLoB@jHx$jDf(7T}hGN||&ch*=?o* zu_OCYGU;dJ59_u>_q(LFl+Tj+x!gF|Oc?jh#IJCRoCF&S(DcD-eldKtSZ>b<@vR)} zFeYp5>9ojVp*;;7GOV(vN_;bXRV}eoRs2Fu+s~-=bsxfYi|bzO)@Eg$JcQrE8Mc_| zEUOc>d?#1Inp&L0_j1;K&}>01pgrFThT-RtDq4z+J_V_UZ^nk1tK+*k^K5IUN)`uT z20--;ZA`O#jw62zYiD{E-wt2x7S260_ytBWG_o6qXFA2`LE&Mv}AeP3MkFVvZb@5~*RNeW_7R4xviYE2U zig*$-%Vs&;RVH}53nwxuGg}CE>P5P3?gXr9vjpxyHkz$}#|QZ)C}0-9iHh7qIGUF_F}QfZ9-z~R=ADW ziOKS|ANZi*Wu;^pZYAXwq)tCy&oQe}2mMGbMeRsxWqvL7@--Y;4hS)!jk~cfGyx#%45nS%0tQn%6-b+${otBpz~j+T&-NDT&SF*oT;1& zu>v_|k22!#@-OkX`dj=>{#t*PKcJkfoSkv(F zl6<^8D6f~-%16nEgHGHgFOuiUv*lUx4B0OW5NGf=>Ce*dq+dxdNk5jJk)D>GkRJ7Y z+xM97E50xIKI6N~cdPFP-!;BVedqbk^zHMVB7IqUK>CdIN$C?1op7CWm2`=8o^+OU zs#JtXg)wPZI#Jp#ZI+Ie)<_?amP;MdVbUQ|vs5QlNq&hBz8(B)@DIUPf-eQ13w|&7 zBt$ek9DE>nFZ@=)Ey3%9R|hW%o*VpNaBnadOhKH(&fwPIhTz)Zs^Icqd+^X;OK^6u zCMX9zK@xZ~@aMp911|?&2s{fGhbIDG3w$Z?*}&a_+kCqNvja5&Ip7Hp|C|0l`+w_y z+5dw7S^szZD}AE>3IEspU-Ey}pY|vHC;5-_Z}tx;8vN3R5LN>yAFar+^W>uVVA(q?dz)o%vFz_Gdy{2lA%DiK zi~I?*Hu6U|Ph8|Rn*M>Nzo+T%X!={4{)VQ%rs=C#t&Y5cnVb9yvqthumc7ifU$E@w zEc+SDUZPxjmb|FuKUMP=X#Na&Ud`dhp@o8L#i%(90t8zWz0*@KvkkT0_A3z&t-11$SI%Ra}l&$8@( zmfgp)&#>%XmVKIK_pt14mVJt4pJdrxEW49scd+bsmfgm(Pq6IcEW4Fux3KJHmVJz6 zH?i!aEW43qH?Zt_mVJa}*RkxwEc+14u4UOZEW4UzSF!9$mR-TJ%UO0A%PwWvB`mv` zWf!sRLY7^?vh!JX9?Q;U**Ppbn`Qf1R$|#%Zl2>pXVUb8G(Cf+r_=N_nx0D2DVpx1 z>0X*n(sY8RMVc09ny2Y0G|ka8OVbQZ$7!0T=^mQyrfG_%V>BJ5=?JD(Ntz~T8mH+n zrZZxgN+;7aO4E~Qx{IbK(sUuI`1vwxV!G-mOqZ_0^oS2&y5vZj z9zoNUG(DWAD=_U^j%iyDO}lB@Mbl+8?Zhgnl7g4p_sZ` zX}Sp0c?)TJ2&Ul$G@Vb=7EE39XgZgsVSy)HGbVE|X~JYSCXJXhU{a4s9VWGy%)+Dw zlbM)QV-muo3X>U_D458YNSFjM31H&K#D|F&6AvaLCT>gwOn6LOJWqVg|Nj!6jNa?ck%H!1f^S1Pyp&iB@PF81U-G2eu5mvXIgs%ML5r6;WH zRt9|oo}jK?i=Md-IvL~ zbAQl#k#wRvq!77tuF%UJz@r@^cgzr) z0Rsb*(3cbAc$^ za!Zr2!ir${w?pLS*+NelRO8dfYJ^q`kPhLd2BDLdGP|DPhsgD|Dyp|TL_We8uA9y6{_YUDP8)3nk9UZC*w(P>^A3>@ z%@J0bX|Z^{L*!bGOXYs=5V^+IsOtF+k*jTuT72Ija+Ss`-TNIPSGEZKl#Xfr-yw1Z z>(A~150T5+#FYEML*z0hCDVDqL*&v0!T@xvB2@N+hsY&#tr(v05V=?u8lfKZg@?#R zl!OZ2@DRC>N;Gpi82<1OxgaF8aAuEqh@3xDSV)VEP?``qj}E)cD;^@}(&ei8#Y5yA z`d#ykhsfEIP|vBp@etWhWtz&T?i~-25?xl~ntwb*&YA(cg2_W3I+GR{KJw59YhWeY zz2u=YX2O!O`N>14vqFofJaigu(D0RqPE}y9FudiVscPVY)n6XkM{#tId1x;s!sas% zO)e6)a30g^ zBTlYC=z_YYcnQtN7s}EBnL$_~!y47R=%I1SJHwA2O4q?&VmPh!(E8Ax5N!Vj02|v) z2W@!G4dfJU)_{b@DDf7LdT7)qRCDN44~eAEq#%6CCov07qcYEWRh*7P_pMhA zFA&yo2lKAahy~!dV*YjMWJ-Jm54#klLT2@`OD9ow+Pv)2u5!_Z$5T#JrPS3*q}`dk@WBo9VDDxtVj4eu zaQz(N$TAe&6CYg1B(vNXA3T;0#q3=NNnSh91gBQH&s}|*M|^;`GOd?>$&qFvmKMeWQQFQ7~}{QBYfv}vnnKioohXWh5&nn&k#I`6(~ zE^Wi=-*<&2p@|qCe$zK_@ykN9216fztGSKkXClQ`Frb5bBBM z?+*zJiRFG&m@z|WAr_B6ZOd@^E5cmD8T)`l2TGm(lvl2f9xp%f#RX^S>FhE7}sX@6BpVKO0cJm$gikNcSgC6 z>XbMfa5&&_z~O+y0fz$)2OJJK9B??`aKPb!!vTi_|2Z7M_x}?||NqaKP-i3#2OJJK z9B??`aKPb!!vTi_4hI|#I2>>|;BcS<2OR%@1*SMf4hI|#I2>>|;Bdg>|;Bdg>|;Bdg>|;Bdgc56C>aGMO7=&AG-a!q!P2WclG-I3L}^Nix^+Zm^hHw1^nIGe{}y~c=O=E zhTg#);dT8x!oAzJZW`DK&2H%5xD}{^|J&BDKTK_9b3QwnN+k2<+8Pc+!AThGU)w*} zzp<}>D7;gv(Vr=%ic`B5=>^b4t5F5!ZQJHG$OvFVU+dU4l z#xv!3lE1aIB;cuy!n%smbww$S$1<5@zAqLZOGe8{XRFMP7__c3J9yf5Ol!_w2V}3j z_g$@LZ}Za?cit|#;_S8T-vibaX9q+7+KRJ-%xmUdtT=T-E74pgIhGYi`#re8{A==} zEo<|jG3|H_Me>r@VQNo}Xny3khM*3@{iP>hY|c7<{C*gCKQc2d}{ zP!c0PPwkRcZofh$QR^1li(;Y`Fv9%mv~Jrtuw|Qm@@P1EC6jn*Fm+&X#%LvsWZOof zL$@dM1z2chJO6&-_0+bua%Zoka;P=Nnzw%QS!K`)G)bTaFi+CEkUSBr>#x}e3 zpu4QruRhdwQyHi1aF3_9KcY>UU67-jWBFvJ7{zVd4)a!=KRcGW1=Cd8(eT1h>2y8} zjx$Pvy#mT|X|?F7-2*${l(F-fR-xK;c}>&)XF~U=<590b_G$-d?I2@2z#wYe=4(+| zx5$;s1d9hD*r<6B;wmw|_3UE=wn_IHo3x2rb~@eG1!4!AmWUnn-j)iZ*^u&gaTA$# z4vf8y?qhhL!oT-$CHU8N_<;iQW>0OreXLO2G+apLCzEh3GIn0|wisU1zqWVV z`mN#kM4qnLqP9)LBG2-k+V)1S)J&JjP_kG|Wk%_mR`1)aM6k+JIUW@wdfjIgrdzbF zn_Xh<;>Fw!DmjHy;EtAz7Lun-Br|Ypvwr0*a$^H7%7E}61~pqtM{}Oq#zt;`lD4VR zre-cn8#~oflgOzh@0+A;kEJJI9&OUe4oRy2lgo&*F?dvyXSQAabZ1w3lzTZ zf9K7Z>8XiCycZugnM&@(yZYu>ag3gTsbsQxQb*AS=}eOtrj`$4#OD7-pWu-w515{HGSTfm6l$K;-&uoE1s;5K0a z7stYD2RCgf>(yAfa39&U(fG=!G`=I{o7*aoXGK{%)b_tlZdntQ{L@blFFbK!7_!Z6 z`Y>S}=1~{NjJj-mwy8wy%?8fE#*Ltb9t(PB87B~P?GUK-1~v?)!YmzWrUy42jqR}I zNPca0huRK3%tm)X7YxaNAY$JQkwEHnw3W{h2-)gLT zq!nn|Dy@L`wqqJ?=%gA)ta@M>!u1}G*?&><)-KED(P?Uq<@*)R@dNjZ=vWgG(s zzsJ9aYmIu?Z0$eZYB<^&%a10Dl}@2)EH!=EOfk9d-PAzEp`!|{4xJXO1HB#&CP$L6 z8N`!O{S(TAW_UDYLkG{CZn5YXm7A)#T=Y6HTl!~404NL{GY&@dnq)4SNyIY6gAiSP zaH1;ef*dhXW1=91b`fa5&&_z~O+y0fz$)2OJK( z?;LRa|L;4?oemuiI2>>|;BdgZW zUG5w6ZT5Bfn!JDUKI47Rd%3shJ<;3at@XU^dD-(-&xbvGJwu*D#dpM?iI0f4il>Vw zibsiaMB;wY{gC@s_qpz*d#!t++atUpJRy8SxJ)=nSR=Fu3jaF)68|WF2Y)s{!uRou zc-i#_*Ee0Ca$V`ly4JYD-0!)kxX*Iea;I@8bG_U=&Nb%@ku2tXVj5n6olc!fUxMA1 zn+kb<;_giU=)xzPP8Uflz*F!#s(d~>8Y?C(;L}v_crKeSM#r+*J!WwIsUn$+wZ}(0 z;J+DEHzks03W|*;3uegdeIi-NdBrh!#Y{evEbh(b_Y`!3>h`jFW3j@RwceabHk8qk z+-NKl9nU6`X>+^n6C&9HJ&q>fb=-8I(OfJK?<9ng6{7KMZYl@w^|TCcUQr~SP-P?r zuh7cFtCq8@qPf}Df=GG+2j13|k3}_lqZ;*Q)No!TOUh8q7>&Dg2VWRVv=IhgJ9uvvQ6udRmTxsqe zk+eh4iDWW2oXzGZ${F9dTO+5+1iTxiZitCXPzvQ zTEL%3we2oQTIswfV-UU$4&K~9keOs}&^F^Voy3+QjAj(Xv@jgYo56E-v5C)Qi}2!q z_NIFa{KN{IfQf{ro!TmgwTka1O7{n7j4GI3zpV*u+~%KPxz46G;>BWDGVSORMv?GqxD3xxDA*Z8&%8(%h)-B<8MXZ!KF?reTMN z)a9B;6(g}?F$urnkjhSzd5+x5!u%t*7=ilhYzb3f0+qP>+vsPRB)ywO9 z?fvSYMMsHb6^t8}@p!Hn8P3Pzdy>Tn{BQ*1xa3x8jn}VYo7nEyWQ+}LsRnBL09%b| zIIE%z24g!y11~y~^)Zo(+D^bdLlZO+6}CUCK9>v=wv$(-KHTe>}GOW(2-&j#Vou6 z6ONa>8F5yZWpsK2^~>y|(?N4P*-@9)$B;s;DwB)Bo(V4(hmY!8K-;Eb z<7tmZRQNEqy;0CbthA zhu69sT&&<^gd^6;7BX4SPh_G+xSka#W%IOV zS`J|n1HZeJgI6%a4GwMyg`yQ{-U7B^jU;2mi9BBORHX5ASZk<$J`)Pq%STe9ZBr&t zQwt+ucw!W);w{($uA9eh2Y87cNoV&KTw0q8=Q2q(QwD<=&!v$a;|U$HDU3aM#et!r zZT-=${TnvpFDB{WSEBE(#mU_fFd1#I9AjE;n^VG8Xz(r zi)RawWM!8rb0giW3P}ig7r$3sIHO z0$#W@#5ptJ^t2(G;kDJQfA}@7H5>Y2O0i zZXM5BX&Z$fRvXP^^GOX-<6_++WNczsD-LmtIasWfq5fYWZxH2|%D0qzLHpmU>{9xa zu)@Lb0X`~!R6a)@lb6eq^s4lj^kHdA+AKvRG5A98OTnvxBcSm&2i^|+H1J^HBcSmg z8)yy){-66F2aW$?f7E}3f1Y3Tz2^IG-@U#|eWRf7yS-0&@9NFyUuWJcP(`VxSw&4arbanaL03NxFuXQ z3{(AUD1k270y|1HnwyH#-=&J`Cs=(6RLK^Y1QSqWSEvLUB(Ca7kO-}?ssw5y&RTIi zra^xsN}y1po(=Cv-VL{Q^|vhWUT-?R=9fUl#H)Q_Vi>VN zr%5N_0DwC+>^_ZJV+|!xH&J^~(Ja7uCD1#O9J*Of(?VT|>Ygf+rG9M*luuNgGT98( zGWBkoOQ2?=R-{=d@MyBsol^ppv(@Djkpt1;SRob1{gphcQ9ic>`sNZqQ0+REaOz5+ zbT$DFoM^?Vwp`Ju-dF;Cvjsp=I6+dyXcSmXp3xd_DuK4S5TFyqRJuTqbqlr0?}qCEoJrBhST zVNE5_IniK7e;pS!Xr{POOz`OVo+v7cI%gV6pp_z5)7flp7*q!{aCQmQQRJ#BE^v=E zgPTgAjpB^PC&2zU4u-;nh3hpX&_ZibUQ){1PahT_~p@WMH^4Zc7%lc_q+8 z+bJ3dQ&Kxb>4MYSYAS(7ifaOtRdqrvjWm=%Bb^KIbar%91x=!=F;u@E&nZ!2=N-f%&p$)(o2XmbXI zmq43EZwx?Hdy;+4&Mko!i+hBDLN6s|O2Q@3YOT$n(a?<2S_1u+ihQBBl?4s7i;(DbGV znnVQ`Ww-=NG^LB$38HAtWoMvH`n(b-(^Om-3VMt18en1lq7o?9RN9%P_yAjNqy(Ba zZkejZB8rFJ0r2ZfpoQZOqvD$fJF5ixH=Y=U*oeh>HLnEfHxivs!bQ*I*fZB|E`j=u z>s!6^fkzW=o@R`O5~$&L@BjvN4w-?oOQ4M7!DC$W%;0bdG;(C^^rud32{d%vAan53 zBo=ENMedSgA4@LH`G4OQ;r6%PlVHv+$zFujNUw3wRyCFNt?w!Sxc4RRlVZ2` z0dax!sMH>46lVmVcE2V4UinI3sdBH74qh&t9QZ~s;vZCQ@;&Ii+5Jo9V*l>~6Tx$Y ztzfh0bw4A&02YS(g`?d!DrdSc^AaWR{-FGM??uwd{2j{4{FQ+dltFhU@V0wf;77qk z@Sfo8zypsdI@lJ5}csFr3bC+<%!1mw+!K*!g^SlDwJVdUQebQUf7c`rL zk$YYIgD!SFn+|YtPqnasQ_Iz3o7^1~YOxHbjC=|zp5-zf(d3hg(8Rg)gPGg~7$>>P z?m8j33cL7z*8vV;a>opznR6LOFS#A6gk1Imm)yqi^kbHMqE?7NMf>4OKF$znIVJzr zu&|0EPIHiwTbhIwRs_@WNp7Ak^prt0K7Fi4Xte-ok2f_4owSs#GSdM`K1!JlR2#=4 zxv@@ILeXu9A-SPmXg34&BamEgtD+rzAj;pQ~T3qHL@@pn_4B12?9m1+9TI0#6IE~{~U`zL43fWdO6UH?p4 zVA|_HSR*XvIJ5N~SH~GMVaafysF*okZmZ2E2F6)?NR)}ypwq97`a#b+2kw>`( zq21-GWM3m+3kh>UuuN7p@(4Y%EVeZARVwzTc$I#-N80R?_g_`E)jHc75`U+RrrRaq_eu?h72=7XnMzM-1p_ zQ_o-BKhi*cNH37KL77bQ_%GGTGRTBp(Pc zN8=-Fg?5-a{Vtg9fX{(r*VPu!0yFL{yVShz@uq_;m0y z!OMaZ!JWa?!M0#^;GMurfky+kc$x!O1onw<1V#g!-EWGAyQ6^>fyO{kyiL5w|Cawb zaj$rS|J&|6{15nV@Sou?c&-*-_MhOH^sn$Y`xWxK=SA@W-UX|BzqOlhhpbLtbXKIt+}o z#rlw6FiRqhnZ)oR@^gB>w?)U0pU|sWSxgN1F=dx2QiVLrtcA%u#6;@xDdY!~D09>a z`99SFz)EPoWqyxdHyE=`5hmon8^KoKV&%5D67pS1sC6+rF1eFDK3nK=m78f%3hpHT zMYSYKu734mu@K}j!y3Gge3{Z_b?uWc$)Gm4G%p@`fDXy*ZzrFp)xi2}^0Jf9QPQE% zdbtLILgcd%VFxu!)64BaJnH2B1;RijZ0&YNEiL4}g~EnPSca>N;eAG<%i1@k>t1S` zFrtd*NkS9hv>4!K)3@Bz9C~kJFc8irdOM1H^KnJtGPakzq!QnxLL=VlbXVgs-f4_*@ zS|D&AJhMj3e^s2?!W^dw>>K}EoF+7!)rb)w*J&=IN|6EN!!~b>77su^GzTONeN<{S zYZL&vmWi4UHa%6-qj{awn&z+oa*eG&Ef|1YZR^k2*XT04iW=7pa%>OibZfpT)+eoU zB{k?kmFc4a$Q5iDl^)6JV=Kl4f>u|rVJn6`lGD!IbJKeM$)$8_KZw7dTtYV$lb4@d zOifv8Nyl3AxAxWMZ%d9ae{1WanzCB2jOye*WX+P5G(vl=5ZeQ_A&9t5PSwCjV4^O8zov|1s~M_!9R;{~Y(@!jP+hd)<4M{~qrt zE{{UIJNPj7OMa%`@8076f_$(0N8WFGkMXv9=ed95`@8RD-p&8r^;_>u1$^zES6t7# z9`k+A^8qx?DnkkwEM2}o$vaxa=iOZ z{y|T(((gak{V`v`ce1C-x54A$e<9SnKOny5{h|20YrgBAz~!!wd9UKW;r&Wrv;S51 z1+L5e%Y7@vCtPQ^_krL3#y~@$GjNmmApafllj04^;o|wOym%USmuo~E=Rf6J;Jr=$ zkZYTKwtJ@Q7%?imAs!<^oAf=_#I@m?hzC9js3$qVHM>3QxeWm*Tsq0A|Fmyidc z9Ku0lzS+eLMX++o7Xy5~i+O3t7rcB8w;pV!ZMA$SSK%S91u{QZHQV8nS@T1DD`zz( zwkZ5ulfRU_3Fo+vuW_Nn6#S)tZ?zhRXYegnt5=Y3G>l#dwb;A@d?Q-9sL9LE*J~E9 zDt@8O;HB^_7JHY(H*~2SA=dYV8^m`EML^C4Gr}cMiYG z?!7QnF!G%y{zyAmkGCgJ&xKGIt0H4{eUPVE{mPCH@@<@}3XU7{Bo5W&wjtjN@e4I3 zv6y-CO&q<|A4Q%(G^;o28@S+1uBfl$B$YeO9nh;29(S2pE1YM@iNLz%f$*oSaEs$nm7Yl~@^ zJcQr!E+QHx=w@C1R+Zu$zSr*Q(n&(7Qrx%{4wGe(zw^^0Rb%j20GX?gI{12L&0twp6N8B6Ak4lY|bbjLsBhK z3!`4X8iRz$KXde41GnH3q`s05?GQYp@Z{r27KzsB8pgf8q91T^nD6Hf}dq3RX^PebR%&z$5*4n*I{Hkesg!}kWh-}<& zR-yD@S4M2X2dvGl!~sx-8iqNQwiSf9&NDc$k`Q5*MmBu*Pg{$B&0rL)*yV)qFBrP2 zp&R!EKSWv$fK`d@24GOt-MXwaFM|dzF}l#=f;ypif?01mq!UPBh^nRS2bdwKux35( z5Ab0ny#T|9jsw}@BDfUFtZ;`-zgqwge|Es#0uUalXfSM*caSC1yuD$Od6p?s|oBQPJn_Si1Wl~uu%3hK>mX#KOT5U$!@5W?GpCE%5l=?$zr+Le<~%}_&KxuCtJfW5$PFYwt5 zym-Mfjw4ML$%A%8kG(+j^R+G-@yfYy1lk!*gIUQx@cv~kBJbdJhXt~dx3SmqFjn#w z;xL~M`Ma${@;~;1H|zy}wHLf@FZheS;Lqs)&x&6o;QRlxXTI{B=Q`yZ%I(V4%6Z~z zNy<9h{hO33cpu=K@~`E`yk0(BZjy=gYw2m}^U`%vNlHrnQkyg@ z_|M?)gU{HOc3 z`#bzIeXshS_C4hLq_@d;jrcXN1?=&i=sDgu;9KIW^ZC8+c>n1Ax%UU&RGF^r6gV7k zIN)%=;lRH;2hi|PcBA8}u(&Mlf}4TopDE~qQ}84%kGSC6coMVACFq!qfhgT~04vELnG+5?525p4=7o9PD?TE=D2Crs$%&7cjyd|nJ5aa=R zTh-n@HqW@o7RH*5FYoqNi<&~^>pl+05{v<{7@*7<0Ru_2^upH!>cHFk)}ILPOaYn7rn$Y&SxI}l=1`YLkxepFG*aaG;%$QFK}LQC3R7p-RGz6Jb-3OI%r zlwy5GrPfLl*1s3+kc`97`OczcN{$N{&RGA6>)mf)G75e|*~%IN|ejzNvj9K)a~ zA4j7l#tZ=6xdT=2Gd z267wiLVE<1d;%v1ma^sT3gqJyNqhX0+)DQ^<6Q>Uw(N)iv9<@NOQ^%$@XMURj`LMM~HDZB$Xg0snM1dt~{9;-mEvG$`zDv+zK{TM408F>|&3=B5d3_L0`^%w<8g69BqjLq(n$fvD_E7nwjV#Vtv-HBIv#0&)qie-#JEb}?G<)bDFepI4hcA7T33 zW%^u4d1((tAeU3QD-T2e_f1|g7(5Nfg1%8$$U%2$H7f0ul;+zwvr ze@MTAr|fT&E|B&}8>OXEDEPPF_k#BauLmkm+>fik`>Co?Rz~O+y0fz$)2OJJK z9B??`aNz$j4m9kCcih=tjjg{$wsAka-L3`RQfhjS5&5MwVjyC2?A*N$)DEPrrN8*R;gctxG@s~r08Gu7{h7u4Z)q5RIjmhDz{GI{fu1eCdnmbZAZKbT$z6l~7uvb4#Z&CX{>CO?6LYb=9XPwYv4CDaM38 z#?aQ2$Ap{}0LmET8}Y literal 0 HcmV?d00001 diff --git a/.vs/stable-diffusion-webui2/FileContentIndex/643815af-76c4-4837-b969-d697d2a8e66c.vsidx b/.vs/stable-diffusion-webui2/FileContentIndex/643815af-76c4-4837-b969-d697d2a8e66c.vsidx new file mode 100644 index 0000000000000000000000000000000000000000..61f7b390cbc4f4f5722fd755aed277aa56939080 GIT binary patch literal 1524 zcmb8v>u%F96bJB(`~7|$cg7uDV8DPuSe?dg4RM?~Zt0{-QOi21(l*fAjmO{(_{2vZ zgje8g@bUg4Ql&|7r13VBTUDGO-CQfABHX>??T2sVrky??q zg~>(1>)JG=ZRBB7r?L{sR7h7bp|nieFp+5@t>UQ?u@XkPTAZY!NUcoUg|64NQaTNF zX0=gSA~VafR+24Q!Q;c|F7^LlPcx#smiABD+@nR7JjlH zEo;8%r%d!sG|PFuM$h>6H_bPFQLfl=L*?X&nqONc@aZR}_~woSt-!@UteE(#{wK@r bmg)Tf<)l-hH=BaqK#CcRuES}cAqf5e0ri0Y literal 0 HcmV?d00001 diff --git a/.vs/stable-diffusion-webui2/FileContentIndex/7b3bb1f1-db2b-4b44-a74a-8d6d38f8c8dd.vsidx b/.vs/stable-diffusion-webui2/FileContentIndex/7b3bb1f1-db2b-4b44-a74a-8d6d38f8c8dd.vsidx new file mode 100644 index 0000000000000000000000000000000000000000..36054bbe36eddf60077f749e207a168a42570ba1 GIT binary patch literal 81877 zcmbT;ceo@)`8WK7fCNz#6TtujIMus7eP-sIJ-a*FKy_F3bnkRJUDb2uoMCK0mLNHY zWkF1cf(gY0C@6wp!i-r2F<}mvGe*p)7=FI@y?n3heV*(6=XqYP+4-FNuI}oZp6TxD zs@6~qcbS`;d)whV(fiyS|IPn#RCIUzIkz)$&_M^a_&?cdg{@Z7YGtif(K`6xmNRG# zD4n-t*$To|U|XSVg`-wjw8F9#)-9!4s%+`JrRlwH#k!RYTS?a1Qnp5>l_sq;Yh|*P z)va8&igBxytuk#byRAyMs=8%#%ako+TefQ1NvqCVwP}rIYrNcAk*!I$HFI0DL91z6 z+YGgaT68e|mo6Qg=LhHY!If@{pzXMA$7?%-_MqLC^h(=-ZU=EYNZMi14$F2}wZpot zWLv4W(rs0?b<);(J1W|-ZYS+_lDAXcPP2Aew2P`;rtM0$P1rU`+a~QvyWKSHZC11n z7OjD31)>#-Rw7!JXc^I}MO%t?Algc_6VXmZ+X()zCqy8G79tj+5Q35uA=ZTB2*(wU zC!B$BX2RJn)~yrkq*#}VPFHk{@I29VMAsEPdUZt46TQCZJEHH3epmDtL_Ze`uGp|a zEG-Hd3aNw~37HC6328;(il8e3DFQ8mTm(jhjtE^5#v&Yvun=J_lp~Z9N(+?;RS9K; z&Vn5=Xfp03ms26-q7)4$4eY9b-c{+D#tU9XB}_scx#T=IMc2(9XK<`nYqsP z_BzqwFMM5p-MVnyI=yb)XkFh~C#!W~u})9cjm)~y%DPmpGs!wruA6x48h2e|*7uzC zy}^3Fw_e)yakJi7*Ku8E;0|1OFmq+-2Cf^>d+Y{V+`zb@>xR+|3s)&uX;){ip185= z#>R~sH_6?R>yEUWCT=NRqg|@dmTqm_v34hpJ8|7f)9J`gC+l>IPS@*n7dt(t({nq$ zL8mwC^xaN>(CN=Q3r=Uj?JUeXi%w_J?JT*S!-9@1JJNOn*$In|N;+xM$#f?#Iz`zj zs!mC-)lQ{5Ch3@>W6F-P9b0s4)v+s`vC|p%yjF{Muru&n$Mf2r=X(6#%$qk}*YUcp z*X?@Up4Zi0ZGHWaUZg$=VB~7X)6Qy-<3g@^fK*biI){#uDo1(dG6)(ckShk zSCn2+c}4A&(koN1EWEPv%2lsyyk+4nkG$pDTW-8cdX@I7!ZXq{p=Y#bV$UR=8F_}1 zrDv8sV?C=qn|QYHY~|V7v#XwMygK*l(yNVETW>79apH{|Z_;>c+G`@OY3Aqs`FS}% zKb-IB`HdUrrJWDb`H)`4ywdY3nb(`=^>}_L=ZDFBT+Aogd|J$>^?WAhvtqs|=Zkv2 z((}g7TRC6n-Bz2<<6WVBJ_Goa(4>&&{I)Ad~X7Q0@r>uu&|A~Chv)MPne#V z^c<(>xIM?~IfI@v>$$quQ9b^7IX%zqdGquG>Uo2nr+c35b-TUZ5^b~BU+DEW^%ghw zmKJ+Ues4+kHuZa(d%eM|7cBIY+tZz%?)LOjZ_?|{oZigs%?AC}px<`;BJPWj#M%lyXq%fuWZj*k&-6gPG^I zwBJhnR_eEMzg7FKvEP<{JM`PiZ_}lv=ZnM_#_x3ePS5W;e%JN8p5Jr)p6mDMkFMYA z`#tUV9l!7T{SAI!`wNc0;Q9-Ff6?(5U4Mh)FD?3;Tz`}HW#|Xm52YW5epvWQ`AYjL z@>Sxi%2$oAtshB0O8ueqhlw9Me(d_m&`&Zy$^DV>)5K2;Ka+k&@3o&7eopU=U!;Cf z`=#{D%3t>U<=Qu{Z$jT_-&o&j-zL5-d|Ua}_;v2r#vf~c#i8TCpEUk-=5Jd*EC>$^ z;=_XEu)rSPa*mL}5js4gl1CVOge_!iAlt5N52P@3?Uaryoq=>_(pAzO(`kiHC~||A zepmWR`t*mDK_G)r23iKG3=H=;LWeFmGVIAPl%bYkEW<>GBN-Mlqy?-DYZ+E97#FSGHr2>CUs=$@)0& zNanfBsmRK_miem88(9ijYFQ?-EM;kB)#5Hy<;qIRO36ygYACBjR=KPyS$Z`G@dlRG*TKZO)O0!%}5#}jg@99O(SiaI%v|m()OfXkXA|?N~@)frA?&GBz-}) zlGaFTrLCoHWbMd0m9>$zm18Z(Lpc$0;>w9HCyAUia#hP|C>tpoC7Vb#v1~Hgl(I3h zv9hTHu^KpT;CO*E2wW#{!@$*n8waipI%VL6!F(^6-x$p6U_J}FPSACOo*VStV8IC% z=J^b?kYOOxK$<{WiUa;n1%VENA_z?o+CcRKB?A=&x)*2_X!;`! zbQNeD=q89&5bGe3L9!)CMnRGWNgiw&1*s0wBFNpKaDt);3KJBQplE`!3e2I@jipXa zU~FJbP)9+X1hoxTn_xN!rb*C*L6Zhe5i~YzJE5Rg96IYlXArt^=uSc}3ww*4wa@q1B;H zLYsxQ2yGSGCahIhr(vCibrseo9IJ3ugsX#a)emP**yylH!X^!yB5X?4a#Y(@?ST@G z66=)c@qsHsxDq)ncN~|a`QBIq0CLBjO1GU~)>y2^)MOOdpy<*sYIz%sZyy%=@#GT(fy5fsPn7zfX~o6 zps$w~)REGu(z(*5(v{LiX{+>D>50-)r5hDFD)RV@9)&6@R5a!DRuZa2t0YoMrjlGG zl}e0CtV+fz)hbO?CRFCBysdJfa#!UYl{cyws6wkEQAMqa6;)=cEL0^`rBziZ<0#`Q z<0&&x##cruqm{ABOqFSrjg?(hwo$cI^z*D!RhMd9sfnW|>(#_nlbMT!b zg!Iu>qg4~BCRRE_+m3F#x;@jv(W0w` zq+3Tm4)_*PYY}NNq`N*X5-mn_U#CT;MXp7mMXALy-Ja1sm=qtz4}-T6tOx zwDS2!q_kEM{UGQI)2h~LO#5A{?UdCz*SgfY(vj3rq@zSfg&ul(DD^PW!&DC|J#2I` z)Jdw7TqjniEu9LTx;piA+S6%Yrvsh(eBw+){#WdO zsWU@E8hjI4Kgv>S?BDj&3Af-{|^4rx4v}-9);Hbu-dUs+&wVxo!&Gl)9;OV{~J6 zQ|o3$Hxu2g>88=!+fhqLt>vgyMJ*GxY}8tbTC=FNEowVaTSe_8Y8R1kA`wO+j|BZ~ zB4-e}GIA$TM@AmKg2)T`?B!{?S&h75L_aXho20iB#n|hN~$QCM5&C@BuWb!Sc-BtDnwMIQBg!i6%}<<_PAGA z6_Ifxt0S95wu$OAs`IEe(P|S-Wz=Lt;S5DM6ly5+P~<~lhQbcTWatcr9X0IOq2~>~ zaOjmouO1G@L%%!pdqY1T`sL8ChcX<>Y$)we)8OKGt}--clfqm4~AL| z^>C2xKFq6Y98D_;Wm&3dm z7WuHKhJ_tga#$5Z(;gZzG|tetL*osNKQxq_4sATFlVP0=>tZ;~hfO$a6rCi7&1l#Z z!=@ZI)vz(cW*oQNSU9neu?S*eV#kRcmqwssXBN9UcH`Jxi9N}E6HmpSj=d=M(%8#l zFOR)4_9_}Ih&>y7Yw>&#&#Tz)#eN+7dF)e9l=?C$^^ap&QWuswrm-ByO2>*$B9i+! zTG81g))gI}v99B&;9gIn;v|ZbVVtCKVrWz#F8sJqaj_*X^0+ACqKpg5*RgSU2+DY| znZ~AxtrJ@}wq9)g*y`9OvCU&^Vr%0%i0eGAt9ZqUSJubVK|D?3#-ZV>xKVLKf2VPi z#f^y@8#i^*c9J&TCdy>JN!%pyf@D5S=96TQByvc13yI9BM^63hBuJ7Vr5+@8>A3A- zMx7_>4<*V?l%#G%qI9B?M3srE5@ix)6ICZ_LKjr-0`SR{&P^*xBO1wCZl#TqSL=fQpFd6G)dAlNoyKA zPqH?Tr)Ex)xk)zQyGFV<%5;(qlPpQHBFV}mGf74ZPm`=kvh6(hnmaVA$0JYqJl$pT zy%cpksh>iZ7drUpN17)|o+o*cjcO?2FvB14-p+-WFL_8A7NaQ0?j6^vS zb|fYvv2ElGMzrtU@u+hc4VI1kK6l3bWaMWfKOgyaB!?qO*DdPk3`Sawv>xf4E@LBY zMtYS_<)fq=mBpyEG`}%2&d9hU%SnYu1-;W8K$wa+6JY1E;MO&SgOW}PkobiY0 zq=`+FwKSQg=|O2K_|85JXd7u-r0Hs!Hfd(kLedRlT7-O-E%LM|(xOZY%CDqloEj%J zZfd;L%%^6M(kKgcluVJDGBvZ*Y)`F7t&>_ewS(09JZ4~%)K;lAX)V&)r`xZzR@}F$ z=`5b5b)MEX9qV+povym+s-LblDc!3ziaK9uGfbN#ZL+k<)22uplQuSO#%a@JEjMco zvbLLvRwmk+a553{&4GwBk!PaJgrT{LOiVJz&748jF+6VJg_##+UY2=P=GEDJn9avD zw3^KqS&xPkTUozN1B+R|$reQBcQU`5`Mu2VXMULZD)Xbv&okdt_lP-@p z%K;BH$&jy0JkB!8WSYr5lVv6i4LW3ULPG{wAhN*80yhf=S)jOU86;US%>pVqDpSTx+6Z2`Z$+M=&nks8d*4V6}>Bd3c zcJsE$+cpa_c9vj&%HADOg8ceN4cNpzRhL8r*N6(wEv{dgES9C9=be^Mg97aLK+>gbWffuCs%H+Iy|4C26WHN z16_Q7OQ-)dS9z{XuBN$~(cNIKom{)Q9?)$P4~FS5*DBY;T&KA%sHdK5lWUvnm0VA9 zJ)=Hr9<`~<$k&jFx-xC*Z{tJF8!tEWxf$ff=P^7J@deEkxhZpFb3=>Gaw~G{i{Y>sCe)jx{vz+i#1vaZu|*eKih?hbelgO;h|X3A6=}anWsxd6z0xVN zNb4dU7wL>nWJTr{e9{SuOcz;3hb0{|^y@Ejr^wwR?-aRL&Z!d}wpTdi(C`?fbp8G0wQI3kT zC`!uMqFgP?qi8~&XNfDPs9c^Ls|H2o^Qc&*ib`|Ox}yFIom#4*GDT&JYNe=}qS{^< zQ5dfS0l*{1dCoqOOYC6tykJx>#|Gm84k7ixpF> zG{vMT)^yQ`qLD=t7BsHY42xz|G+EIUMYCKqrf6)@jEiQa6s=M?rRbI-EJaH5)-)$w zib?4>r86j9dIhB$@(s5emtKpeA!)|3^rF%$Y3i<=56bzh>@Agkuk=;vN2Q;azAa@~ zN>$3dlvOEBDQy{~G#FPZuT)8?Xy?&zj6-89H2lHC*gE7htIp}hyVTQCZ!d=}>eEx_ zuS_cH5>W@DOf_A7`Rtq4Wx7gNrZRKNtW#!Qne}t+bQjUha7BN+N89mv`tyJ%DP?BV*<4;$J9AJxLmd6bW1sN%9&d>Vc94e zpC}u%+?p*5xh&#kFH z+^RLG+HNJsrT6qHFN z(@JKQ%qv+|($Hi;C7UWptAKv;G`JF1A&oqWN;#EsE9KMhB@IMY%2ZlZ+U03s?ek0p z4HeT6BabwtmCh=i^OvKSD@{w0Gwi;%9Fbz#LtgGRyis`_j z>5hPIfvRL!C0Ui^e5fV1O2$<(sgkv7lvY`*%0!j9Ro1Jrew8g$*`Uh&Dw90+lO7!9Ka6HlZEscEJ=1ELmSbA3X$?$k zW)AI}wqx3^Y0nHl@#F9;(2gf*_~xFUk4fk`81A-+Wh0Cc)`+nY6MDYHIF4~#;|z>5 zGp@ta8gvgqU02tb9Zz7G&S9n_O()E_~uc-oBST2h{Vr!1v^VNkY2KHp$Q=Dc#xf#hlLBe6P4> zMvfV|bgO1Ybf2(F9ag&Ralf8U_k13t0m6j)_;fy6uIR^YOv{+IF&$$L=gBt{^6(+u zq?+28hMqO!XNW94@IrH{G&L9Ua61hy(k-l|O9cIzjIoWW15;#j>`xudN z??x1S;uOpLfrPbUY{i70Ub2p39haU!vd+M+TW8(Cy0zsea_FIu(DI`#5#OLwx5z6k zKPke`g4p?aJ73t|l3nOqUs%6u{hsv~tsh!n(UdmdGf^MPx7M$%Ke5ua(z9}4cT5t~ zq_5pEp=;%cZ>?m;y)B+4rQJ-^nKXYnrTIu3#x^Wy_Q)#7D%YxxRRc?NJUoTq@DnR~ zz%!y+@tCe2TAgv1jfbJ>u%<7H24ou>&D*$TW5>oW4P)7OV0R2%@fa`-GsGER;p3X; zRFi;b#%N$T8S>p;l5y{kF8(}bVQn&|K?j?z^3*He#?VbmLAM_^tL=_k0-N`2-luM> zrJfx3-W;A`E0irX^|x#>vPEW#f_f^{?V#=j^#E+?(1TRAG?p$`%ZjcOwsQCZ96puP znU~I>1V+M*xb0>+S1y}+Q!zUtt%eVUMcLv+Erm! zOFQ-KbYQ16ltRzD^=#9p>0;XiH2X(WMl|?ML#H&#Vw==98Fg~0zeCqj+bq-RkbdA) zt8HrAtk`B^o2G6#b=#>0y;LoRH9e*03~E2B{UOgj@%(yT2c0_b>L9HHnvB$SnAD-I zmE=)&n%~l*)=te+J2dH{xkF87Ty1C|xE>DcVO%F34WiXa#S_{zmqi2fX3HQYLCXfz6zDcX|cAbkl59?gfSUwL1=SiK9>O8M=TjzD1H+50hrKn4% zE(dk#(?nTaYU9DFXKv%4IQY}c$$nGIc|b+6OJ22Hznhy95>ZU+gWM5D?+S@U`3b}r@i7hE9-kJ zUby0~tk88&2P;~y=wv09E3saQla)lRBU3b#;_@R|rL!n!l#>R zV(W>W(vNjA6_e>;GIJ&~cQV^PX}Xi9KWWsYNhVD?Y4S-^PMT`c*hy2b9-OWUXI12@ z!mNt5RcEm3DL#e!Et(8p^`likU-d1`MXhSPniZ=>y;{;FPixhPRpYE0ch&f-HeR*G z>a@E$O;#JV+GMMZS#9iUQ?Gey&C_dMwC0&LZ@eb$nr^S{m;_zZEKonsD0E)7EI(D*0m48c*BBv`tU1decsC+UZX_3scXVb_dh$Y}#|D zy}`6MoAzhZh1qn`oi5I%19v*;Ob3JMAmQr|oeX3-mDMz$M?#8e>`vok$3ZP*n?WQ$o+Ji=jMmUY=G(t8aY<4`b+t8DRebMxtrtdcW zS<`PC*=l6F;iq=^$s6v4@!3oA1X_^tl{2UtdcuRAZQ1cS1&^E3*c;t@(G@kU8zma$ z@-r_x=KC9!@I4vb2XH5jCrA0FoTn{$7O_&yC3(XBjPt7pwf@Z8;KrAZ~v;H3$TLN+Pg^U+`#4R|Gd^Ox04E_s@r2TEw1 zqNdwy9snpx?m`wdKZ#SOO<8bvvRrMJMYB9=mg|PQ_0$=18sqb$Iws^PL7K`iNn`j{ zhR@KZZmejm)7W*5bsOt7cFxmKdX-0aQo}OnH4SywJ(@9cAOACP!^+PqxWwTNrQC>9%D1 zwp4G+>up7~ZF#iK=xrw6X5}`kx7lKwUEMbEwzufHW@me+-0qE@`ml%oX9XFd2S*xp zeBKcFx;+%sD6ak38-4vrjzb#0$3`OUoR4?CGa?r(f{U zs{i}@UH|jfXFPrBJ3IZKS9aRzTTeau#8XZ?cI(OJ^pj6K`+uqU|4(Jq%KGdRPd@8^ zspg>;{@+)2*3qY&e)85c|G!nu&0V`D{QtX;c@}>*dG^^`Pd%IV>i^cd+b;dTt?b-h z=fqQw+j{2KQ=hffyWr?kPX2$tgySz;_kYl`vrgaotP_tuxuI|S%(I(QwjO)#nMa>; z;AtnEy7j>Gk2~$mQ}|OKbM)D-$nSk{kB#5i>5I>KXal=rJN&;$;eWf*zlYO5{uOZ< z=k`GS2*i8AN5V(Jz2T!tUVk6NkA;tekB3iyPlWrz{owxa0Qe;MWcU>LRCpjfh~(`b zjQ9|ED0~`hLjfJQ4z7nT>_89BL;fG~@P6vSK3sr{a06U|8{sCn84lpn;WMBQ4}*up zBcOx<455M=MsP^-eo7E;L7XDyQwV>q92T&I%dmn5T3Ev|T!9mkx4VXT3Xg;{_)OT4 zy!_GdS;!v?x5DF4egfhX;j`gMC_e@9sfbTUdN!hgbl!GDvy{(lj3Be|VB!H1E&y3sR9`F&!??rNbd&7ND z{y3CB9{GI{?+5pX2f!zhyxpfDekwc=9)$9P5g!5%MZS$#KnJcP`Frz7Zf6hqK3sr{ zByWESZbE)D9KffOT+d-7FMk9KP#&T@LOg^q@*~74%t)@MKwOgCUJEBEUqks6@eJ`Z zVFQnXN5f;_v*59CD?AP!4^Mz6lKeSOMtlm%?K}F^AACd$u7d=5Mpo(In-xtGVNdA5QnB?vJ6#1Vae;?vs!e7B(!{5N)!r#IB z;qT!eNUr}+i2qFTb{|0eH~4q>5BMPbC;S)uH_7$=59EOUoZAUL4DL+QYi?J>4~M(K z-QgZ^PxuJ97fG+VM^t z&VuJ4e=g$l;e{lB?n_Yq9C#^wE=jMs=hGYS{}&;DImzw10`ZlIUyk?{@RcOj{~D5B zbFZT}Uhf*@uP3?Q8%cW2-9&HvIc`RL3*uYh+eu#j-H2~P{C<*Nb037alU&b-;YZ*{ zQT}nnpCGwCcaYr9yOIAa{2WQIxi7$bNZ$TeNnY<8ByZ=Ni0>uoHTPY_KOnjMhsggJ z@lQzJ-hIgb3i)5d-@xCJyq(`8{sT#`xj!NQSL7c+{13zr!hgblk@TAT54~~wccMzU zT@QmhlU%+l;)lcC;O;2j6Y(S9Uht9dQE+egX!sbC>whfb$HB)V|3t+5!u{a>D1Q>- zC&Q<}r@{l_L9hi6hKG>6{ih*rLjfJQ4z4HZHRmCohh38Q-y-4-a0zaNn@HZ?0P)k| zGmt+F@!{|YC}99YsGx=s9KskTa0|)XPf2>s708#!SBMR?$dBO!u95Vbn;~xC(Io$V zj)BjD$HJ}fICwlffuz^mNr+E|r@&K5ZujYk&wyvbvrv8x;&b77@O*dyybx|9x!&!F zFNT+p^qPAv;^)EV!xxae-en|z?=M0A3V0=aDSR1xIeZ0tCA^B{`d*FrYWN!XTKGDW zmwN-^YY<J&Q$lrkY&G0SoM)+2E6TF$^`foveD||bA2Ye@d7koF#>%9lQ5Bc}Q z4

`#J3~<2;z?-{y5@Kz)!+Y!8_om;hpd<_!)RN{4D$&{5<>u{35&uehGdVeg%FN zehq#degl3JehYpZ-V472zYD(yzYl)^e+YjBe++*De@gOx{yE}b!294Y;jiGY;cwt? z;qT!6@b@Iw`$xoof`5j8fq#V$z`w!2!+*dB;XmQO;J@L2;Qzq?LOz)I{IL^!7~C1| z0(XTEhr7Yu;T~{L_z03e-y;z}3h|>6KL+jt9}6D`9}k}Zp9uGb`@#L;0q{xi$?z%g zsqjE}5NyGN;UVx)_%xDs)tm!el0TP+xCa-JUxJ%R-mjbCfaH37lphWy$^#fe1vQKy z|6gA5_7lWg;0UHLgE=f<371KF&DDsKB+u=LlJK?+FyWwr{J@CEoeenJ81Mq|JL-2O^VUk{RAE!6o z-=9MM4)|$!C%lW~&viG+%YPo;gYqvS{wm_H!LO6_n)^25dr7Y6yYTz)hbaFM;-8T8 zn)?Ov_rYJ1y#3$6`;q@W`~%7L|B0m6+ylt}4f%f{evqWs+<%b&FYN8vy=&nc;q~y%@J4tO$@Sih_!h*s!nY&;PLkX89^~JP{QKbt;q4?Z_c6qu zAi4feBEAFVpF#Xtl3sK7Apcdw-y(UvZ^L`xci?wPdd>Za-uUzW1pbWV^?pwB{`n>1 zUm^Z2;@`phk^dv&KapJDUl9KlK7jn+5&r}6KjFWT{}1B-!ky^LGuJ193_d)zP#E*whfKP<`!u{a>@BsKE_+FFNE9RMQ}Swues;Z8-Jb`Apb&=KgZ>W zUySlA;7gHz8GJd(%U=brCb_=XqWpF6^(em<@pbTx@J%GIcLRJ2@;4&B3GvN{Zz1VW zo_iPa?}oRL{Jp;)Bdk@L$eHr<$z^@|z zb;REwdHH)u-tPC1|33Ty%723LpCkVZcpvh=CV6|mMgDgrf9^lQzoGmeD1Q*~zewKh z|G=Ggd#F9Tl6>BKINS~H4)=h2!biZpNUm>h#E(Y&Sj3M*{6xh2!u?2Y{{bZLkEbF& z2<0t!F!F~Yej02;f%0{T*CXyA_TW77J-9&fb~mDY6Y>MZPlwMSdATDHOBj&ceuY>g z9wLrmLh||<$@{59ei^YvT*EP3A-Vol#A|R0kAyS$Op=#B3h~kK803#dycHe?kB29~ z6XCPrN$_NN3Op5_22Y1)z%$`lB)97v#OK2EkiP)&g>W0Z2yTZL!%N_E;H4z*-xnZ$ zA<5f&5#q}czXV=M^7rs^l)nP;s}R2$UQKd6uZ6FN*O0va8%aK1-bC{D--7bDqWoH?fU`zDaqTtkL2Zk4Sxs!Kyo|(2>%5C4F5uMeg8oGAj$3j7vg`z{~-TgxYO+cKqNB+t1K$6!#2)0OG{t(26 z!l%JD$@Q)yc{vyP4&r%|KldW?8{iV$2sgpaB-itF#Ls{}JPhSWki6ZHE~k#Gi|2^*4^I~wsZh>u0Q6&{ED2_%1xlM$ba z^3&ky@C=ln1S{@0Ma+#67S4a%=W{6_dDcs;xUz8Ss+-U#0cZz8!pZ$o?wycPL(Abux&7koFo z4Za7y7rqa^AASIS5Pk^WPV)9Y0zZcQ$KfYP-Vb-6{7&TWLVP#;9P*z>{6)m~ApSDR z^?VI}6XoB6--h?X?~vTC?~%O!e}w#xNj~0wf&8zL{|(8@{|@o}@b~Z!@Q)<7<1ZxF z`*+0uMESqqze%p|e^9>D9uLJkll(i|h2(m6L%ciO1MW%k`g@VQ+}_AP8a{^P?LQvn z`@#cI{v?vRYI7};>p28I4drdb4&rqrZ>NL&JnX>*lH0wAcnNMoelr}vr;}XYVTcb$ z93T#%BDsAL$`hEPJcBtbNM3#!aRm+XHObqZko-N*5FbVI{y2{0^-myq|DBBT(-5D9 z@^eW3yywF6;Q82tSJa$4GA9C*h}&zZ2d? z@_L^qxxO#KuaUgoH{rb`e~#~<{0HzSB!AAI!C#QP+)#jU`@#L;0VLP= zWRlx+Ao2$xe=y=h;Grbf=a9U-i+qRVdgc*#VGs7<0?Es5fE!7!@98AhcNoc^^Kg_) z!~w~lbBH)b`4+?@#2GA*FX1w*pn;a;dRIwq#|-&r!iMB_9Rs%_e;hm>oFdN$&d z5T8Qw`llm*2Fb_Cd5F)47r+bQHh2-q^CGZM(C44E# z^}U?r^{+zwYLe@H9rD+ZT;H`Qe z_#XIP_&)f4_yPDq_#t>Z{4o3o$=m%H;*Y~mz)!+Yk-Xfe5#I^#LjG>VpM{@;pNC%{ z`Ez~=@s~;7k6$Ob-fzNh!|#y1{P*FHNM8PDB=7H^lf2%2@K+=+|69cOBmN`F>-`n^ zzajo7$-n3SBEJ*;52v`kok^~L7n1AS4e{=954b0M1l$Wg5@A!$x?+f=s z`I8Vo89oI*mE`svLUKKA^x9}>hPlItswFX1w*NUqN!u1WsfQ^ZHY8Oh5vDBp_scz7Z_iRA5{3{N4s-KUe> zjl-UUBHa($mg{5kk}_yzbycn`_Te;M&t zNN(ph5PuVXi{$0*h2MqWhd(6w^ZbP5_WTt74E`Mc0^SFI34cX${l7u{Tg3OnKOp}{ z#D7No7x-8B0Q?)t_5B0!gYcj5U+~`~xBI_{=k|K2{X3Do{?3SZfx9BV8_DbKiFhx> zd&7N@e;mpCh#Uyk^dh_8aLg0F^Glf2$*5x)+;9=-uy1FwbGk-XlU5MNL7 z@8w3sZ-qC(o8jBwE$~*7*LxSq_1%X2dyxMC;t!(ycEle>{85tE|0MFCLjKc;??n6= z#COBblDyx)fcT5>9{45rWs;Zs8se{$d>r13_&X%G`+JDLkNAg(e*}LFe*%9>@_Ii< z{0qdtguf>FbKQ^l5AaX$FC_m?{t6#}eh>uKP#NM8O#l%ItBX~>^L z^5;Dl<>w>50A2{U!HY=V&c%o?fzLtyxg@viGUQ(bFNZHCdHpL${(LV({0ev#$?bU+ z;;RwAhU9v$L3}N|j^z5@g!p=R1M+V{d?S1-yb0b+^7^-s+@5#9cO(BE_&(%6NOC(q zN^(0tM)Lmt6yiJJr{SIOE|Rx%H_7XN5&3)Imr(u{#9xJ9L;f3xzX`tuzYXt&-+|wS z--F+WKY%|ZxjjEd{1e1KL;Q323wR&=CCTgk8vYjEkMiHcKfpht{Lk>O$Ugx82LBHK z0Uw0_g#Uv7hW{b?`yL*K(r@L?pkZx{G*hk-4uDUFPbInD7RkSpgW(}4e;VR86wra|;Ckr74$0e_N8E)yI>sVt5J4p9e1^d3%?`m%uAYuJ7gWDssp9626+`^hx`ZOhe=-l<0$_m$-mc6!8?$@6Y*V$?F#%pRIe^Ea7=!dqq6MPul8SVmig%2mW{dLgg>-zw_9pxV*dB1<0B3tvxiJFX>pz3WI`@69BSYu$qUtt4;f z9q?W7Hu&EEr>-*rv$Lww^&t=iL`@_mD9|2av=O-)6%|CA|3H;S9J+$R0E$6cL}&*T zB2JhpL_5wnV1r|fts>5%B2EMZ5l0jPI6%NwQ5=X$L}j}Beb;x-AM<$gJhi{QhQ0RM zYp*^0|2dUvNc+zRzt9lB&kOzKhP3}`=&uF89y~v|E_gxk!r(W87X>eFh`mcfe=B%t z@Y})fG-Q0=Z;1Y7;r}r7<)N==h~8D9uMYk=_>+dT|5@m3LT?CtUGVzg&m;du@K?cK z2XAahynY+}UGVpj-xPXdL*jUI_AwqoK;#DoCxcUwKOyvz;1h!f zHN^jaZ;0Kc!KX#OtRej@4;~&oq9OV#8Zyo!Lmw4s56^z*LZ8R4H9e0M|a zzCZK_8q$7k=nqBy(eTd>elqe;1wS49OyuV@q~9+D&kddz{7Ud^4H?gc4e9sd;I|qw z{!2rDw;_IB7XA-|KWa$(t0MntL;AfY@@qq17y9~!^z)1Gf7KAXH%9*3@P8k?Dg2GW zKL-C4`OU$Xo&rHhkj4+y}|cI z{(;bIf*)*%{~rnc(coFZk2S=fPc}sFa}DX|^WlFf_|=At_iLdqXo%i78j_FS3|`t0 zJKt}J{ttqeMSgkk%7(PRI`mJ2*9Na|Nc*1$|2O!H;4g!}3f|BVKW=P@-QR`(``{mf zHw8B~MDI_b|J;!Fe+mDu;r}i4t)XuV-X8v)4T;~@3(DTyhWLG#hS=LK^!CBK1$T)2 zo}uRj=Lhc<+%dQyI1#*eaHrtT!TU61T)TwcHT1uPzF$N9S{VBNkv|~#ui@_zd{A)D z;DdvE1^-X*Ar0wwaYN# z9Q;W`^skA0L-6|Wf6)*>ei{A^p?@9xP4LFxZ-c*UNPm9_eN%8_@Q=Yi1^*npxgq}C z(vY~_+7LUpM}9}}&fs98JbZl4H#GWe7 z`o9W&L-5z(-x&N|@DIU_4e|evq5mBE=7x;#ui^hacw6MR2k!{p864cZ{Fu`ayIVKJ z@4Ga_-uB_&Ex1EN;xoS?{_hz6g3$MFNc;PQf8XFPk?$6~UqkFH3O=YI{qGrka6|fk zXhZsWSVQdY9sWKI(cd@p;~Jv3e{j?g{mIae5B2&8 z!Phioe}8@CZw$UU{C9*ty&-;{(U5-648A+~o`(4MzR>S)NIz>se<<<~2R|DASq-uK z@z9@${8Qn7HvG>uWZusW{iTNV_vP@<4}C%K8x86IlE}Z?kbZv95dSZW{EFb!;r}@J zli*K-KMP(Hyf(NYcwO-N;LjW4-!Fo{3jVqwe*Cr}e*7-{KZL$1xH0(0$p0MN)R1xg zE%LtyZw=nokbdt74tA=3wrU7}>)_nrT_fK%xLx>n3%x_|?&04v^t{mb3cX`P#&z$| zI|X+Rf0u^zzgzHr!QF%RZ%8~A1s@Q6VB~v*eo*KKhu*6p@mL((JN!pB#GieF`!%Hh z#|8IqNPk^J@@gvdMB=pmR%Y%mo4+|dN z5PQ!IeMCe0IWqLKgGV()?>V85ZiwFVLLVFY`3=!~VfZf!9v^&h@Fl?$f+q%7Hl+PY zpNSt3E`5QyODfs5#TOvQLA@<)9{yT%G2j3O^@8B81 zGaKUPdqTfA_`dKz5PD5R=KI5;KN9?CL)w3=A^YK{8>095hK%D&k$*Y-^BXd*b-@dQ z7dFKIiyLC^lF;9d{5zq)ANges>F>(WR|kL6kp4G>zP=%T{IVha{wn-mhyG3Q#)h=J zsUd#+DYz;8zc<9M+rq!IA@&A47k^Ge=&c*l-(5p*8~OIZ9m2nR@E*Z?2ImFm2k#Z! zF}R>1e%w3sPQjhSzi)8Y@OKOTOZda!!tn3kka6!3{+g@V|p+Hl+P~8xr^T1>Yb1Ktt?)DD?jXKOFo>@S_dU z`*`S21V0)6XG4E3cuw&1!7l{A7(6%lrG~`i%fYXP|FzKP2QLW!!r(W87X>d4elvJU z@LR!48{+@>fY^XR|cM1R}xw-0^y z$nO#UyzqAne?jP-Lhl^BPebhQ5_;F*Zoz*E-Y+<8h<}ShKOp$PhS=F7xM%ne4(`g{YORq=+OIyeoSz`hV-|8@WAjVgHsK$^Mue#8q&{`f=_Ko`-2;zx2z%S z=8(|K8=`-B@Q8-!KRfhug2yzZ{jm*ce_Z%42>rs~iyET$;?OS%o)G@Z&@T=Bvd}LN zz9RU_hWPdB(5r$o!P$o7+kb^#-H?9Y5c-Y5HwE7ud`m<0PHV_G-x)k3@-u_)4!$Sy z4}@OR5WhYY{7Cp84W1SJSn%xN$Ag~;elqx};HQJ134S*Cx!^es@%sy*zZg6>_@&@^ z!7m5D68viLYr(Gv&kwF^NM2qX`kTQ^8ZzE*hyG6J?+1Sv{*Qu}2d{|ys?b+A#Q&d! z{%P=M;a?lPF8u3*KM($I@E5^fHpJcyp?@9v#?ZeF{rlie;cpE6r_g^6-rSIU_-p9D z1^*trHF#S?`n@CcouRk7Z}zK(*tttX^tKIuyWsZ0y9IX$-aUAa;5{1>_j`rjF}R>1 zcJCc}r-ta=H}o#ST^r)ZF!b)hg$-%Hs3GnCHMnQw4-W1X{zF4A4n8dS@W>w-`cc70 zH^lzFp&t|av7sLqdjHT}a1=ZscwlfcI2C++@Cm^s!6ya}3O*_LsoNHzYr1L%$~SQ^Q{!`t^~&G4z{)Zw|gC_}1WQ z!M6q99(+geox#%^64x_ApBa32@IArzHe_G=VCc2M4>iR9k2Yld9}EBN;KzfXXh=Vw z4*i+nXM>*$o)i3hL+pJq^tr(=1}R~ypq>!HsNt_%Od(BBAsap-RbFA07t zcxmw4!S4jW8~k4I`@tUsFKftnFAsf1aD7AkyDIe6!5;^I68X=9*M`3#cwO-N;Ln5q z8~jD^mksIXhS0wb{w8>1@V5<_znemD4E{0rr^x>j`j+5dgMVvCKeq;N5C4wPgI#Jr z-YPgJxOGF?%?*8*hQw>T@b4D>4#B%eJ}>nA&Rn3ua10GaHb*SdQI?k;r~}~b@*=#{ie`wZHV1> zg#XUq=?&@kzZ+ur-Qm9{_}<|Ag70sL{+fp9e<=L_34S>Ek;p$5`s{|Z`$R+X?z549 zKJqU##J}@Gf4L$0Uk&}W;Mara2iFBJ2woWcM)0DB*!gDgTfuKP#Q*O#LZ+$Ho~ zgL}QHG21_KfVj_~G|fz$L>MOF@wcr9hsdM0l$u5R-G*v47*V5vMg}9S%teo%!F*R~z2*yUwN=OWdz zo$Ffr&r=f|x~<`x44UuYP4uQDaY1DZ!{qQ+BfXenMA1Xd0fqub!iLIje#Q&Z|-_>*Rp2cJW57nGO5J7lX?e6{`fSF)WJlPE<;9h^7!5jS;+#!l*d`^jI-< zyi?6}VbSt~G5A<$Bs;91$ z9pM>Co1t5&@?ENq*L?0E4J?0zutxcGjLsm?z!|Ml!|JGM%8hmnRi~`BO?v9u&%k+8 z&xlV@-G;(`=TMt$Ka~;AuLu#i zGFXJYj;fws2u}~{grJ%8b~q}PaJ0}}XR8*34q@52EQB=w_&aHpX8kE-66*LBO<2-N zYUaHs#MdEjr%U@#Y91^@u$A+n&yW>jY7-QOeF_!+xO;7p_GYu%3Gr$Hh34IEW*SxA z!yhblysBWzm^x)OXjIUsS#{2}Vp}a6(;+%;3Ja($q=j)&x;@&G)70#;_BFcPSq~g) zqXvs1HQzy2(m?BwgLb#wpBAo^+ExCMEENnGjnc#N0q_jdT57N=8qV}+P9r;br|C0= zDzlU`?WeYIy{ZD9Q>KBlXkq+pRuMu4ejOqT`crK^g1Lx|mC}phb@Vu)yh-#;FYJ$DsdRhqjXgm0}JnKuGNL8OxqUo zcHY4=R*S4D#onVKUF>GbI$I!cfgL-p%^BBTghLOcnWt_?&CqRS{Kkb_kab>-()QKz(3!wMzXf%T@^9A< zc1GK?$K<~pfy)`EeB>TX)7BNRL}di)v1~Iv;Lm1Om`+5hsUbB}-hBBWr0d*#{!hqR znmOmI>0_+}L@+_&?0cz1Sb>;7cDIA4r;hD7NdC%TMX1&w?Yj0;dUif3Nnv`M2Q%{U z#V+OX2k&Y`pT|o3wWvlC6H|FU%99ALZ9jFmdSBCMKV_$l!(>SMmEts-SDgkZylxp& zc`GolFLTGk(!8deOAlr<*3*hVZdr#2f5vdLK-gl`SOah2k3dh}YIy7E=zMCMs5x>c zWeq%?WX!*!S4LsBxzQuDf`XA`=7c&RmHXWOT*@)DLFN0}_9adc?Xl8P` z%bSyWwN~YEi<{9isW&@0vFt?2L!;KdBhu$y;9SyRV9}3UPpd$(g%wAnv~T9DZVfHZ z5pB!J9abqL(G68BOviGUPP+E9*$!88gkT*OrjR}kqaz9z;z|V5*s>4zjZvfO06K&k zf6BAGa(k$)8KaAls%+aDKBnf3TPWzz8&a&Jm>H{djHW-;9Q2W>OsGO1=RoSl6t%N4 zXh>W$)?8|fkUm?lXuCV4$+eK0%fJwy2H8>cHw6Q+4&EjTcd7pE!ZbW{$iduaJT~w0 z4z)wY*|MfrDjSk}jmN78a~O07Z>WIcP#ot^ZV#X;pHZu8vU|iukZ#vIpjQbZk0u>8 zyEL4$*qc#rtn7}t7(Ew>9a&t+hPnpta z_m8gW_!ChvpPiJ2kSaUg3JE+jTkore>1hQNz5~ zkedw^#~oYO3&wf|Lg^Nr_uf}J(sm2wN|k>i=-Za%alh^*qj8HqPj$C9@6E&U7H{05 zCnx3o<2WkpTkvqkIa0a=Dfw2bwq_M_7CjG)J5gB#&)%k}dG9nr9i#$}iTNlyjv)dM zb#ILDORw+OxYUgn3vS3>vCZdccy1o^aL~~0PHi0m-FO@|*X13pvRUpvTs?Sh3Qwn2 zSz-%Fr%_*e^Y2tZ;R#!5W((}O#9an9>lBRbO^(~z>?Ex)LiOAeFM{_-iVssbHizoF zhe<+of&z?sPz|Y#;2n-Bk6v$IH8TiSjfdL%?6UH3okpdjSb-^L!M(H3uq8-mkaQI8 zSNtLF+JTLqDR9x)7pG!Zl#gsbgGmIAqk}wv;&6)o{%3DLr^OI~D)M|Wqq}r{i zl-@#%6_9jMZ(*mYT|m+PSWVJG@A>2KdC0UQ0#*~nGY+g8;6eiS2*~vmUhUDX1gSR! zsB{z#%LH+!=^Cp{4Kb)G=S>59AYDY^@Vl`Gb$F3F8vQP9SEEfpm_% z)$6?iPg7qx)=H)~$6;_BxuNsG^@gk)6O2f`HPr0asa*_dzEpH^&5f+wAnf&Ui{7*Y zY?Z-P)MlvZ&|+#nj*QSVH!gw4pFpn5iP>};Qad*g#(spJkHh@^_GYpb1>6bF_Ic^LLZNL z9U8Vu)oiwb-sZ#Gz)(A!@q+8C68-xDQadsRci@2=+0_V69uHyCK9Ke!_u}g0ZN|et zQ)Q-A25!0D!kt0PWtT^AGW=p;J67IwTV>Cy~SWjRvwzMqA&;5oJm1T74rEmqKx ztE_j@C2n5v*T<{vvmD?!y1MH|>k{`?&?malJQaLvx$L6o{bE4`LxW_Ca5+C>o<1A7}aYH$lY_tRx0 zgInJfIPD9yl}O!&T?TFnOB$>07RMp&`*nZuiJ3o5U#1SjaaZ#3tunZVK8(GK^8k1T zX91=ZcsVI2abr#UDFdcJT|_XyMVh$+{(|yJH0!82O4pH=m%*z|6$5TO25cI^EY14; z{z-~)#X0ZlnFjz@3!4OtcbJueQ7oqHw`SRBEF(ke+b3btQSE19jpWKn0 zM(jBvReX(BJ{v1q^jWuowg%@av~6)cox8*xf~Szn)WJA|E^(#v=+dWcGoqhg^T3ny zQmlHdwZ$sT&m(FEtVWJ&8`0B1%^Q~W)Qj9?qe|NT^X)chT4><0G}~fJn?+?g#VQKd zzWcpHMJMs^r!+IEZ>J+uegc6*P}!KmDzDtQ7vi(c%xC*O1r?|EHU_QZ zcD@yj+h1O4256@8j^h~Ekq4C#@{T#>1{KOb_~!#y9w%*bL558fE|pzgVEF8TN&W6{lpYCO&yOL z4o31c1dAyo`{-h+cy0xAj0;SoW)As)KtJ_5-xfGu&8+o>tIS=w-^Xj0r^O6Kb&kQ^ zA)T26sOg%frXaojZwGB$EdJTmMW1a}1~6EpHL7mDhO<@xo%_*;`}3$#gQF=XDST!^ zqb9Th0X>B0Dsu)Ueevr;^q{hjz0ouO>Hxxx5eB;UQ^WVtHe!x8;9u|BEhxKc-56bd z`nSaG2 z4H?3psr6g9DfQdN8k~%DH8q1+>zt~4qL$A^dYF1x`3PkHK=geC3*mWQ8r^9~pD)dg zUqG75k~d&p6-Q*mJsa0To3?&D`a>+&wU&OpM|7=H_e5jm3EL;8R<`M5O6UxeAEP=c zlNcCL%u;N2iALG&%P@J0+tv|XgR;41GI)opv=|GtJc-Y)BUM~Nbs-q*xwkv=P97~L zC~6;vXK=h~sApmlg4!~i8KrhAq}=xj%d_iisGrL zXvMVEiau{ozt_;r6xh%z0~eSn55G>A&KkumgFvrb^hcP|<3vtJ>gmJ8M9Ia9xLurolc{H5Ya2mj z*naBkk7l+X1io%t4*8k!n)bFi zg6B}J+3)V~o`EmUxl$Lqq(_Hwc5Eh>=R$2{v|UV>m*Rl~T;=X#zZi7~`8pEMS}i+` z<-LL?9DD^UcI4)<739uZLB%b@!|Rkr)t#Ci2TqEvZ4c?DZ%3X{I&>?g7gDb&o>49r zW9t6rP#uv6fidvvtoQq4S)bhsZiLhqr_uPiF&=^7a(XlWTpu00dYxr7aJr*rTU9(4 z>}bnl7E_LG-&Uz_MI1m|eevC4zw@uxC@nmNmQw4bzJhb!CL6yzm_)^)y5FyN0+9Nw zfw_7WTiw zIHV_Gz)1SqrXxWds-CV!&(9`I0sAmQj>t^3b1%5Y)X7`iTIIrm`3bc5g13yC+k-~? z%i;`rw!Ia-`!Q4}z{}lwcpi7FsZ}#uKt74|F*p-rD_0_L^YHLL2hup#p-BrfQSUuY zbZvM1^W*RD;lZf=)GMU<2)vg#N4|h?SZ>mGZqy9U29%xJ+jR|cm-dr~d7R{@3X^aS zdhR~u6;e+U_~p1;fnDAXZw3CjUH=E<=@e_w9?{zpNY}4>*vWKfPI{`XqOG%FVC{Db zo;Abd0^6;z1~cPAo`?Sg9clRrESsWkv>rfaj;qm8uEM}HMO|F+Z+l4d^jye#W+L^V z>X>l*a%PM{B_`6^mN2a^wvcB!di1*Im`xjKQNyCvQ8-aLWK4C^no^xSNAsALw;s|| znQfI?;*y&c2poCc+i6>qM`_ZS5mymsv)G5sNytf*Z)-pKMiitUygC(bOXV)6>| zdWX|fpBIe5+30y2F)@w!weafn!_?K1)Q+aM0So5P`H-6sxHq{%_0%a_&)78Te&rco zc|bF_Ap0-{oOsVrzX8!7hKo`5J-VZ`g%NVU@`2J^yBR%AdA-zL=^?OIJBYK2&+@8E zc&4}RI<|@_Z9B&6*I}HGx~d`2gTEm4T2^Bl2gm8Yl^A$h(PLhPIp>htbI<;#Z87D{ zoPu&~rSKfD8$hjJOmEK+CaBf=pf+qj_14N^xl4Kb_v%u~fS!k;gPx%UUDPIsuy&Pc ze7*wuMtBpDb#kKJuK?5bShDk495Ul$mbd(##Ho5nwf+uscj-8E;^IHKIlWaH|kDJgFF#X^Emkfdaf<+2kvGjjTb}1 zIfL>fdgTzkDKLR+b;CoWeov_kj3;V6k`AeP<@Rcqm1{(;>@oXWJZ2b42W?<|8(>HE zxfMe?u>Is?CrC$WPU@d2WrBEscPM*&9%{{keiu_4(bzO|)$Rw0d-c5*U31GF!COkR zRn*E!YAb0mOU?Is2Er%sO$a&!6V&#k<||-hTEnNOryAQ<{pJw0ry@1i_CVWIR&NS{q0{?GNK-|XyF)t4A+%(@pBh9s10~}1f47JSHadc zs^-_7bv2}s-0U)o`8hlp8pKKqOqKH39%{KlP;(p%x2`0wMbEZ6z7WBrJZg--Uis)L z)@vQGlo;rGIwqnb;2_E9+msRxd2D9M0z%`MW7Rxws*#_vEbgmkINbMw`TnOL#M zlpi!}*|V&_#C!>M<_IHiYy+OmZ3nQxx`AM-is%(w*P8AG8`QLtrz1&(+!2@w1WkY2o%?n>p?J zE!-fw4;eb&2pfYL4Gwy+|j~^R_D#Z+>WwOCt5bwbaG@|@V?)wjzGCi9AcmWH-(y>v1?xF z-DKQLUWTA+KQ$j3*dN~HnCGVIe7H!~A*h#Z=s5(_;$(D|5TX^hR?EQGO7QBP76R|5 zhUu@3s$VHuH+Ew#%5KBcDEGI2N91izC;MO<32NE@x4mOPJga4T=8M?ub-R z`|ortgy)Ao|MU`#)FtHfETHrL#lBL6kz|0T=)(})hp>B}GzqU94}Swv zTU<;{|FrDs(tpLx^UbBUbi89?q;77o>OI3Fa8-LwvgzXv=i7J(Gl4G({51vVZB1k4 zn~DtPpUu8YTn}8ZhD1-#qUx&EA*H@9s?+`-?fGKHG;`b3Xt|4?gLXyfpRt<3s{MK! zb}l{RyT%{rhJ{I^ihJFfakE+}ItkB=(0qj$f#%iIfKvP!I3l|&H{j`2on^G0g|{uW z;kZjvMSCY9T|qH}!TL`NATJruf)|YQ;CZ)rGc}WcW~_qs%|63j4B44dNa{t8V?*H1 z?`J?~v1Z&IT@@8)R2<;W)Et|e?=~2)-wVfU(A;p6JCr9-aef`|LP$;d-5Db!`4+q~ zO!~5kkt=lvaaEX;c77B zl=niQ-ZG>U6b?(?e8>^Xj&}&@b*4HZ8qVbi!EO|@6yKn+|BcpZgSPNSwnot7ch zlV@)e80eFKT6^gE8L7`|o+Q41QO^z3!Azq!MNvH3c96B}jR&LSz82BbBAE}plBZ?w zNZ+HGUTwgXcY#+?^D0zBB^n((C%})Gd`EGW0^H!I3Rrc^a7p%;_wDdNU%Up?mmlEy zam{fwbM{waYX;KydbM=_act{R8Pe8(9ZR3yvvsZBBs5m73S;jcdkD>HzYPAeJ-ZvO~GYgKFeE%G@JKS$j1mqqBeV{C`wy?1BVoy^B5slpX zs5-z+)C}hpNGB;=E|sE4pGUEnVom$0!CZi4eKzG+;fAq)B`O_-`{|Gxj@H?@nr3xj zCJ$!XPo28U5E!sI)aa~=j+)EQc{2$mJqT7Kb)DCsG3th*_fDRLEi|vx?ccp!vU;P` zQv)WimOXvoRNYIg)ray_9rXR_*Avzi`ec-=%dyHu)Qq$5MtuG_l};R%lU$bxOifZO zrSLAGr(L7!)EydZ?CEJe+2FbJq2q2#j?JXD-`Wa%RKS#9x^P!r5n#%)ge(Uxud<>Gjakb^mw%yD~g9Oq)*`{ZY- ztwQSl=kn8(v7bcR|Ek&yoqPS=g>lTZpSnz#@}33{fTtTBHSgm_$d8HCGa7z%atZw! zl2W1Efo7^~ORYaN4~BHQZLyZNrt%B|=g4T7Io^F3}HCCahInewO_M%1Ua9= zW5=hM5n}Hp9Ri=rCLgsxTUm4G|2VX`AXBQP48GRGZiB?wWQrmb&Sj8%tt1-yC| z#}}h^GQ3;d;oxod`dusVDr)FmFecslyn?w5^x&B&YIG^e`s_pI1R*iKeTKLh^1o17 zNedT_dx=ZZVYxe6I}68EF>SY_+3dJkzxx=M5mN6tKHX_x5k8+omu@KaA^-zM{Ge8; zO>47nMZohi=Jfbhyo0wAQ|qYN)_HSm^~oqkyRp=zrh#?v)+3edAWbA|ZdD!_K5qJA z#tlI4eMhm0e*10YY797UZe*Hz8$4U=$xuBZOo8Q)=7zUEyci6j4a79kW8s-~rjKo1 z@vdZzI(bK+XJGsNr6vHuB&JTGn1rm}AT?Thr^}han3Gy|-lh?lL;budpndI4E_-?A z&=%j}bGPkK?n9@thv5X~HQ*Iu8CI39aLRD#5$&gb|6_*Q-a3xJ0XlDG59uPLry^Bw zG`s^SYLlk72~-Xw&Zg}v<N0&=}$qgF>2QSp?66v>&R` zI1+bfkotP8qjn?~E~VxGUqkIw`rPbNNiz*>KiK@v{VnWeSX_ z`d-=T9zr_aqfqw2*wxc9n2Hd!dYDJW&&3VIdueOfYo-~8HFpNvy0uK=z1i;iSfk~} zs#tkK=*zL_*-TFzzFV^|-CgHiwhjAc54_m(CC6es7-5AFo%toBp4bvHpji8H3U z>p9~Kd$ZGU>SRTi+%N`p1Tt2;^mJK(`8r*wIgTyQ1q5eN)DqGFq#vL4TaeGI_G{L8 zw{V;5eW`w1(}CNFoomHZb}s!q)L>hiH+I);$+U1yFT#qJhYZkZ^w$7PZ$0hkP8A;p z{0{}39(Rj+Ge%qYXFuyz>LeRodDRi77<1WE<#c$H@SKkcYBPq3+T~c*mwrBuM&M@Y zV`M$lpl82tKI-x^XGR)2zg&8|dM^1{1 zq?Q^y1L0bjCI*hu?CeMB_b3qNbjGN|`ZESV-w0J=*#Sm_=_5R-Q;rH-1TNRr{%{nt?Ta{0%{8%ePVWAEM*E(vBA9fmZxo zBSUus=H1tvo|Tw4?|pCPh+ORMz$Y<2Ow19yThKEuUIP}wb9->m zzD#l&eIR$d_3In>Vl?z+C%m`wQo)MvU+l$&-s}4Z)Qq@0=5~b6%bnzvkQ&_; zJtt+@Dz!mffNw?!Vf}3cCuOql*JPj~By9-fcQ z%h0o zI4!{3hBS&fHGg$F5=B@8$OkG8xfjww@7YffK{d1za#>(@rQ%f}LZ4-m> zxyOU5B7`z?ToZ4c_ko;3*;x5~y%D^6gu))e`VZIacQIsL=*P`GW)0YoQp?*T^<9QD z=rzDiYX*TYAY50OhncvNX2!+WXeAi?=e+swJZ4hBzcu>dP;vEm0`2T=2A$K~=P!Zbq*^J+fLOyGV+ zJ*cs2w)Q}|+`uTh_1~A8$__!JW{I2c6e>O?D0Q8$gxAqnH{1aFgX%=2w(Tzjrb?|3 zq1#(>$Z{~o|3?pCmA;cp!|HqTX!daiaziTdDXTD*hWYpHEdZ2^T-TgTX# zr$F;MG*SBiAJQo8lSj`^*`9ZYpQln0fvs$|VD#pt7=CfZ7kY?75 zi(L*W&muZ1o9!+a-Poz|2PT|Pi~4K}7tUtKC!U&hx?vyn)nfdxnJ2beUuE_riNuj>UTHVx`G&7U`2pyhK<%|i zmr?UfDWi}EY#lE6Y0HQfn-Hw0wkx$-h}8ZrNl~t$;{5tz%S4x~>neJ85;_e`qTIEg z`a0J4sJS~j`y&jRFD}2UaOhH0Jnem0F=`6Dcxc6 zDyx_`GrON2`}MoYrnjfn0T^}id>6DHa$Wl=ube!0LX*KURh<^`@~0 z7h>-$1oNoPAkf}Xj*SPWFIaVKfOhVE$dorO8c=y5y_Y>YcYtQZ1b&Pd zxoyoMxB4aMEonbBA4~AhEpm5w9)XXCXEO)mRFIGlchQJg5s5q~E;o3j)&!bi*}h{4_O0PbUqw`@PYqz1SGws$ri%*(J0ddk=(M zj`ydar$hRD9|ZnC$1aHaR0f_?+uuO#V;O=8>>W?7R4}?N{W_OAG}F%qgLaO#Yn5`% z`PdE>kGA?Q2?kuhcByMFVlNY0Y)~Z_&#DgHj(LyNnq))tou zpZHF}K;56Qw+7NxX5lVy13dTGjrd`*9tF=qJJTB_36AUBMW;h+5G=#;TG~!)0G>X( zRdtXX2!}(JHv>@CJBw?7HQ^SyqwIZ4_*5?&77@@0i^%mmpR#g zm!yBU)Dcd+rBbaMiPg50CE3j-x}_6zJFG8b;|t^mJCBr)8P3 z8T)0#rBtBZzEr*df#dc0QvcrGSoQQ?TP~jVDz5lSc}$u2emlk$dW?ZZQ1ga=uA`y8 zAn4jp9lh3E#7p2!*%5m7YdX#%ux-E7+yU=I3g^x5{hM`__gGO-dpml!+V9x1XFO{4 z%F#RAv{KwPsr|hoGtsGCg|ei+)RmYKo`M-?t3J`DqcsR-5V-MFULo)`?(wZso26G% z|H76z!l|K44ocW=o*#=JJUypiX-n@CBOPX%`HfG4}x^2Jx*M|Lz*dd@+xT< zzEN{9{coGN+v=LRp~?bW@O_EDRdy4;xSu-S{_~1$|8WSOZ#5ze*!gqmSDx$FPrn@H z?c=f4!bZodBOK<;<*AZz-J;{}H>DaDol^T&M zLr9mEDe7uGAD*v7?R+msMEXefA>JK5Q`Av9=t=b4BTW9QQ1KLU89$|DP(g|w+ zO3hVaf+*E{M`XhFR|vOAUz0iudZpB?v+a<8)$LX98NLp|&r>fv$E&^NIPSg45g8nn z^}tkdls+#QFiBOEIy1*|5a>&J)u{UK3mpE3=+eDp6#_e7jDH>-=AXv|YJ*h>e7u>Y zRvBSBLJr$cCHi`59R>Wse2*fkGZYnZ1U`70%AQtwe-kRE-h68H1WE7H?Wgj^|E_fs zULBC=jm9g~t;Mk&f=Zutn{cD%oDeBEyH#o@bg1tg`{&_W7YuklSFA<3qpeo_toLj1 zjJ-K@8KjO6Y4$FPdSoQq}oAN@va=l$^gcB(Dv&P6jvsh&nVc&;+d4^W zZRy`J%=AqAsaR>W8LVF|IqF8aE^dru%U||7*quNis9~wap zU8_jVoLQuLDp>`Cv905f*P-X4b8G47$aOS@!1dcv^HJ5e5UvHU0a}?v>Mg^u&0?T~ z=M44-l?MUB+E6C-8PbvO3~9|+Jq*DFg$r@Yu~GOd6X;f2=&9)=Z-hVtw$%f@(sGAX zJ>oE!wSab2bdV~W2etpl*EnMmH!Hp26Wv2*w58BDzy zflm5{*@$~(HxKO6Leht2KisfI|NnSZh%xPF365N!T{F&%!B%g=NFp}PZq)+{fAL4l z8P8sX@l{r82(r4YRuNTt7m^w3mp{={9?>ClvD}d(;J!IVZ z2AXZc-9J;)H5aU(m3!fHSU%L$B>`VLl+71&!%_Np=C%}+g^jGl?qKeP7_XZl=Am$*!$ zEbnHz^QPec@6#bLuze!=j?9^{nQ3N=m3ZLM=Du4y7v_E2=rleLdlMAXbfjyB$!8oB z)BiHSgZX0g?qGe`o9nWJx01GN=*_Q2*w*{_Bmr}+>X0K^-dOdd0D;r{3V_!Sfy2Mrsr01~tFXZiGBO?WhV=G~hTq zNFQMSSkv=fBHhi5_>f`QVy0E<*r~4tFb*2juxw`3dIM7-v4b L@CEMcgTem=nY_|# literal 0 HcmV?d00001 diff --git a/.vs/stable-diffusion-webui2/FileContentIndex/a1c9ce19-b76b-493c-abae-90bbb908dc34.vsidx b/.vs/stable-diffusion-webui2/FileContentIndex/a1c9ce19-b76b-493c-abae-90bbb908dc34.vsidx new file mode 100644 index 0000000000000000000000000000000000000000..7ca26afe88520b89a81727f6646e5f6016d10704 GIT binary patch literal 21168 zcmZA837q6a*+1}QSzuZ2`^GRLoy=si(+va5Kx3!V)!juWsce#-zP1fFaw9j2(u@lX z3!-u>D$Q^W3nHT8Er>UssGx`n-inHXH=zFOdG`08e&3hR`1?MUs#GfJPPzvNuTopF zY}vB)u@3zY)%4G1`hUmnz~!>dHDjVZ7PvWUCTDv&TjuN_=jC#hIM`>Xtw^d}TrX4wUr0m4A6Je*q?kc<2o6Pqor>7=8HL2ps zwl&$YCcDZhOgo3z&a~~g6~~PnH+I~_DJ#dTJDzkrUCcTa;fPtMDxIows<9&jM~05? zI=*xQ*9rBHa8%?(p%cYU)O2Fu#L7uLClO9kcM|C&zLPebmg}^n(+ZugSY35j2kz>w z;&Zj8>?wV=Q?{J4gDIyl3rYG_gClpGX=*jIOT%l6`V@J z5e27OaAd*p3r<*YqJk3_oTT8i3Ww;cZWX4-^|dcdA6%H8E|hD9T3nDpA+8;4*@xJ@ zY0I7-H>p3bhgj3o`p2H0?yt#NhfmovGyR#anpwB*$b7#z78G-pVlFD`w{Ky(IGr!9 zv5Un*vFI0zLD8)gJ-=9Wi!vi=!7Sp)cRYy(DxOUmqm&~=?vT!~9 zQ+K_F>!og`;#Qd)#w_S1D(rssM$8z9RJuEk~Pm1S5~aapy?u_!lFFK2m<)Ncr{7<;boiLxgmPb6Ml zc=gPafhS|HVS0_C*C>0w>-oa-rROUzsCdfvRN$%5Q<0~dUM##=da3YIoyu#Lz1e~{ zE4|skn@zo5)$4UDX0BqI6*H`us$%M9uX1EwPgJSIl}f83sudAeL{gDKMXHKSDuG*3 ztxD`xlDLxAD^0)B5|x&$^s1FiRkBEo*}}{TGcQa}m_nFUVM<{J!c@YH^fN-3U18b6 zI!cUBiSdG%=n2~t_KdJyVM}2L`u-HQ5_Cg$#bj4Fo^Yyy?;L%Th}D58Rz*>YqQ3O{ z1#XD4E6PfEuJ9WAR7J%U6SP@}egsBLdB5a8;6H!q_u82|*n<92a?1?xOu@Z44;zY!H zdq>2XNKBE~B5_0_L?T6!h$IzBPo%a;1CcgG+7h!u%u3NRMXN4afoMgd?TNM&?NoG3 z(aA(_O7!xgHzRtn$Xt;HBFn1QOx4a+9lz>&RoAad{S#J|{)ww9tH!FDdewHZ+9}p@ zR?V8J*{bFwwSue_qnaDn%2ushs0p(steUWE!l{X*CVDl|uZgTyPir!)NmcVzO@+1C zs>P1Jn`^OKi&ZVLYDrp4dbOlqYsp$y)p~K=wCZ+JccZ!+*WHBPq(an%tP8&`;=1V6 zrC(RAdTQ2FtDbuGRMfLre{@OHlctnrB+W$Hkt`PVeJH(#tW;!0$V#d&jjYvWP3j}b zhLFDg@nzu3peBPz28j%s`lCrd+GRLHcXL>gq0kqD&LEUBOl8=UVJ1~5RZ~W$j8c8; z$Rv_UCR0JmX+x&IOe2~0Wtz!ZA-kfHv-AgN!?YT9zF`LqJ8ald!%iBG z+i<*weoW7-YZQx(qRaQ9Y6w%m7aJmOh)zT18q#XWpdrJC>^BmtkvNS+G&0r5ntsmq zi(`H<=NG%aTlU?=cT?Z(`1D-RcU0gD(-&1=guY08(e|sBU$uSxs_PqFR(x6YWkX*J zUxs?ozF+qJ$X8`w#lA}XNcmAp@8v}LP5q9}`5n{m)clU`cap%e0&6BHP6tJOEo*c+ z-A3TXftv(w8o2GCEQ4}0sOWc_zIkH(o(rmOP|F21E2!B)%?WCSpf(fK^u}HwD}f9H zRS8ras3cI$K+V#N6Zt_D1d$4&PLR}tW)SA=(9DHq6q-qBhoRjKC%w?|Lj5#%{m>0U zZ&p8p!ipVMjtna*tn|W4778mA6ZDBKWrO#Z2 zwhAXz=%}!$&qsxVRum>GOjX!aVNZpb9;Z~QBB7!{MY`yyC{wYiVoSy2Dz^0(5EWNc zEL1F2oT@leiBO4DNve`erH*Qbs+p)}s%C|1Q&8VhQJO@}H0qf8rH-<6ZO&R-)L#Vs*bHO(M%axlE4J*|a$>6=k5^;cjBTAV zwu9L2()l@F?8LE?(37U1KVm)o@j{OrH;COZcGK8x#cn4qH)GF=Jv;UseILi3AA2hH zdU3_nA5rxAEGn_kg?_{*u}EVvtDkqVti>{6Hk9U=np?D5i^PK^k-5+pF{dK4H6M0B27d~KSuQf zG^y*CS3ljtM0S%#E@@Z^KXj5tF=@!8ktB^Q@%3ZOPhyWgSQ42eS(4gGTF~D|=yN8O zNg5<+l%#Qzwv)7zq}`;GB)!R`HlURcRWh%{Xnzv~8yyGwoPuM;FDk6Qy01_NLNaKF#X-ah_&=ngwYV zH_NgqicM+iPmZQ9nnAG{=!}|St{Ixm&~Ap6W|%gknPwa|6VXhvW-6O$pl`2cn$8xS zS=XNx_NLY%=D_VS5>{h)n8kBiRg7zuh-YV|MmL)b*WglF4eyZ z>fiJFmfg2j_pPJ)6G4BX-Jj_6?P}jveLLz;w)>NvzT@^CufMvhe?#c^tt>Z_xh~y* zZZj*_GEZe*GZQY|h;@<4AoI(aFSEeSf^rt9EOaw^!bVx7@6>V@*YxY3C0>?D{Y1=C zl{ID7l3AvIOAa#qQM2jy>}9T2%&bc)>&`vz*yBz=aq@&yPCDuQb5A+z%*hK+JnsBc z3hT~2{+v_JKJVOhCth^kiRYYo?CIGV$DVuIDQBMSoPF^g({}NQL!aL4Rdds9D={hk zCjbBcw;VP7Mo-)5w|#O8xFy^Q(j3&kHCzR^f!o6E;P#OI#R2WNBisq@40nOM!rkER za1XdA+zajv_ksJu{owxaHPCT}nC+3y#AHXv0b9z}0XH=3xOI z3=e_R@KAUdTmuh>Gw=v_BrL+C;Ok)ty08pASb_8gr1Px88mvPJkA@BC!vKa*!3eH} z^e>s{I0;N)6VAdGY{L%h!X8`)`|u4ggU7&Q;c@VIcmg~To&-;ZZ-l47Q{idwba)0l z6P^XnhHrxBz;oew@O*dyybxXlFNSZ1Z-JMX?!jHj+;m6@8;3wgy;HTkd;Ai3I;3M!+ z_<8sk`~v(U{1W^!{0jUk{2F{5ejR=TeiMERej9!VJ^{ZAzX!h$pM+1rAHW~Nr{Ry_ zGw{doC-A56S@<0M8T>i?1^gxa75p{)4g4+q9ef`C9{vIT5xxNb1pf?QgfGFrz`w%3 z!N0?Qz<8FP z!%67C)o=>tVF4Zt4}sJ0PtPAHunav|fdW=x4c4KAN5cm6 zVE{v@Usi1J8x$!Smq-@IrVIycoV2z6D+a-wNLbFNFhm8JvS}hwI_x@CtY( zoQGGz4e)As4SWZ@7QPd{3%(m(2d{@Wz#HLB@Md@md=GptycNC=z8`)7-Uf&8cDMlV zfOo>X;N9>ZxCrls8{vKMe)vK70Q?Yq5Pldw1U~{l3O@!Ph98HYfS-h)f}e(;fuDt+ zgO9*R;pgFF@C)#Z@JsN^@GJ1E@N4jK_;vUV_)YjN_-*(d_yqhe{2u&1d=fqde*k|7 zpN2nz&%htUpTM8OXW?`3XYl9n7x0(xSMb;HH}JRcckp@md-w_@NMu?IDnVIIrw(C9$pTw zfLFqKcop0LuZGvacff1mJK?+FyWw^4dUyl85#9uEhPS}?!1uyi;rrnG;RoPta0qXQ z3-AtjC%g;Z4ex=A@LsqP-Usi8AA}FU55WiFhv7r;Bk-f}WAI`4arg=NN%$%FY4{oV zS@=2l2z(TN9zF)Y0KW*o1iuWw0>28s1|NrChu?tTgx`YShTnlt!0*EE!SBN-;ZyJj z@Q3he_#^lX{4x9q{3(1EJ_mmWe-3{Ee+hpDe+_>Fe+z#HpNGGPe}I34FTg*+Kf@Q{ zOYkr7ukdg1@9-b+pYUJsW%vqw75*Fk2mTk*pYG|e0?Rgo%i-p51>6E|3AchP;nr{! z+y-t7w}acm9pH{|C%7}*1?~!WgS*2$;GS?VxHsGf?hE&W`@`2j10Dd!;A`Q5@OAJY zn1d#?;5eLsHk^bGTn(pS9v0xi@DMl+4~2)pHSlma1CM}5!Xi8hz8;pK3(L@h6)0d8 z)?gh3L#yRZk>!9IKg%-}KbSa=*f9-aVCgeSq1 z;Tz#8@KksjJRP0^&xB{ev*DZIIq+O~9y}jj0560W!HeOW;alJ(@U8G|@KQK{m%%ys zcDNp14zGY$!g+WV+yJkJ*T8qcYvDWLyWqRwb?|z41H2L51aF47!1uuS!dv0{;QQeR z;B9aSZ-)!;4tOWL3*HUyfs627xDnn5?}s0R55Nz>2jPd|L+~T;qwr(!VfbC6n-8)2EPEm2)_is48H=u3cm&)hhK-^fZv4Qg5QSUflt8i!tcTF z!zbZW@CWdR@M-uX_ze6p{0aOid=@?je+GXJe*u39e+7RHe*=FDe+Qq3zlVQ-e}pf< zKfyo47vW3rFYvGMZ}9K%AMl^>U+`u43Vap*8~z9W7t;U1&!7KrIouqsfLp*V;Z|@Z z+#0Te+rVw%c5r*R1Kbhr1b2qJz+K^PaCf)|+!O8v_lEnxec^s^fA|_`zyshId@Vc> zz78G)bI^nq9ETIohLg~NtKk&P!vZ`Q9s;M~q3|%c1|AM);1TdhScFHx*TWKYVHtX` z0tKu>`cFdWeN%@L9t|7NhXD+sf)QK`W0=4cHsLI6!8Yu`F6_Z|un*q=Gk6R<79IzW zhbO=j;Ysjh_(pgNJQbb>Plso~GvQhAZ1^U44m=m02hWEWzzg9;@M8F8_!f8xd@Fn# zyc7=LWpEC@9j=F$!z_=v!mq){;n(3e;5Xs7;J4v- z;1lq>@O$w4@JaX-`~mzSd>Z};J_COYe*%9BpM}rCpTVEQU%+3&U%_9)-@xC(-@)hM z@8KWdAK?q|Pw>z1Mfei@3;Zkm8~i)`2mB}e7knAM0$+vyhW~;8h4hDg{P_=;!_DCe zxCPu2ZUtAut>G%T4cr!P2e*eiz#ZXEaA&v++!gKycZYkxJ>gz(Z@3TK7w!l5hqvve zKfLrmy2<|xC|6R9Q|Ny?vTT|0zhgj64udKlM}KCqX&mn{+HF(~mWJ@)QHOp7mMz;r z!Q1FBeKxJ&QL2U%gQcLqGum{ZAyp-cRTSJoe@(S)BL)3^(K7mDt4)LFsJfP7cM9Ia zq{^V+J$T!2smXf`s5zwAjABT^l}#02rZK8Y6zeI56w4`if+1BqQt&q3!&qwaRD5vm z;0wXQ&4s0L1FD7;+{?T1eB-pupx~o%2R8?_jf1BeQgal%FNZ-LeC9j>2XCXl>sr>L zpufo4bP7DxP1GDMcR)>pg3n_}l|eC}puf7=G*9_ z{f*Y9Z3b1trJz6JTJ|u-JjHGlixhkz_+)rhylu3;BJr!}PJ1_~a>Yl*1o zP#6?EZd7eU+e#EB#ekwju{Fhj!l1aEVo1TK%4g0MZ{q{;!g&@x#+5YqPKt2~-h(?h zMrSmjUXBt~JZ?10khYC>YNQj>S%>i=}`Hbam2A1}pnY7Qv|OToKw z)1YlUgsahfqbB!`VyJi6be24rJ9edQqaj=kXxkjc0>xk{hEy$5@Of}APe6Zew(05) zsNz}p?VT<)`H%)RN3S_g#ZjUT{W~l6HK`g<7!>>#<$LBBYObQ#NHIDFPda*B^MZH? zzm|M5JcOIPzFC@}LcvR;zu4O}AHRYIH7$z4Qmm(n&zIj3yl}ovc?ciPpdmwwd5X0Z z2E_&ngMtq}dUx{D_gHTh^Is`wZNRRaoxqC_#I;Bh>JXW`?{Q3r3kf~qkJJ`di;do0klAq6-2 zxEwdpHXdhCHKZ^oOo}-QgJM9jJw=IPNWr@esN(78sp8`rRPk#$q-q1j7zOXa!B>N~ zam8!dl7?_|IaP~GO`hJQCQr{pIHqYE_ufsFLBUgPpo)j^J;OH>Pui!Bd5Y08xH4$l z90ebUhw#jUrENUv=wpIA7MFUtxr&;6AU^nLDsFNwUl*RaM1!BCSV>_}@HH5xinsBC z3~KToyp2zgpAj5`rkX#RC*Py+PGV3T`e?#S7vpq9)IGCsjP;I;tL`Sft>Cj~=gM zw2kkrEvPamc={n#qwB&e_X&YBO3!g79mj@fv%R~4r$|wCSZR1&ZH-nlb3f{&i!zayydClCUKgZv6 zvAN>G8)(}C#eiarVn{K1HW}397*NH#@zVI<+~nnQ#Vh6Dj}9KkZ)Ki<_c(xN;flA7 zVxBs+GM0jS`BZt20d;VU&XP~dpblQakgCzb`P$FXHXg?d z=ir$amIm{|S5b4brER)iC0iZiDKna@LPq)8MKWDzd{u+m(P;7?L^yn9N&oZOHCfa9el_Q)L~GJQ}BUI zstgK#D|2%dHF@6>Rs1UjACf2FYK}UdrQjwXgXbI2Hja%{85G=GqROBcQ1ApigufX* zLfiPky-3x7g5LsMm8iKu!BgEt)u|MGNS@sI)a4k=bq4E}eF-dwyJ-$z{0e`2s{ zW?oQ=phOHCfk6Yzmbw9TYgMZv45|3GBZh2&MgcdjDiou9Xua5dCgq$d6a0}gB1Mur~k0; ze>|#q2(Q$jj+kOg3Vu6s$0}-a#RnRF2p>Ql6BLUS2E{8BJSji^c@M658#g&j8dsti zP+UO49UG|P!Q)iTQ)CnuQp{2CmE?aR#N)k;F`$Z%#)G+O(6;3i2F2)$A#dXc3a^0uDYdubG?t0mRz|G>$v?xn@vv6$LM2o~qF}gPJ@&@3BBl z?&XRX#1-#0x77P0Rik@)IW_rcL#mn-0}4Lm|M^{keZkK-7l4nBQ@szr*? z$2MQE(We3LQKBKdW}b>K7;hU=2frQe!lsZ&?0NH>g>n;HgZiI0jVlE6CMyYVs_+?<3UY7IJGR-TXd;HpGJc+&M$aR)Dw-vZn$Q3t;Oi&XJ$qo7S&=>P3N Uh5l!sO)OiF4Nt%)*KF$ee=v`Zo&W#< literal 0 HcmV?d00001 diff --git a/.vs/stable-diffusion-webui2/FileContentIndex/dc1d22eb-9771-47ac-8f24-f0b617c2ed70.vsidx b/.vs/stable-diffusion-webui2/FileContentIndex/dc1d22eb-9771-47ac-8f24-f0b617c2ed70.vsidx new file mode 100644 index 0000000000000000000000000000000000000000..998d0eae0c2d6be067ea72317a384242ea90643e GIT binary patch literal 967655 zcmXWDS$6BV7A5#{WqsEi3||KhD57Og3%bPylz7d~B-PjwA7dU0zmeoj>N5wDQz`JR z;!-GR2of8dX77CtZ&4oquYdjPU;pp_{=e<}zy7uDZ`=Q{|NXE3^WWWn{ZIS9mu)+~ zAo7CA3#BhSf8pmBjb5~V$;OwWe<{u{hP{~P#k4Qx_HxW#j^oRzeyQ7+x_haom$rZD zhnLa3jP=Vjzs%Xo+`r7Xm-~XYjUePA#1KjmdPiuFP=-)}P>GO1s6yz7&Dmms%66d_6xm53@tb3_Y7Yebvvq8Ud_AeJLm zAXXw)A$CNpM(ht_cEW(zgxHMO1+gn)Ux=-UBg6&b2gGy4OTF z&(S_Z`yA~{v^QvfLi-x+8?^7xen9&P?Vsp?&|!}b89Ef`V9?=+4mCP7=+L4=hYkZe zjOZ|-!x$_A8;D4S3=qwI{b3(9UN zyQ3VTJVUubd5!W0qx@^LogzR*h6;m<3Kb_*e4wI1MT?3a6$2_pRLrP2 zqhdv6hRPC^29-4`dsGgn98q~jCPSt~ra`7frbA{xW<+K}W=6(-dO_y4*=CiY%Al%7 zRfDP?RU@j-=xETfLdO~%8+07e@r+IxIvI4T(WytL5uIjqvV&i!E>K;fxCvA7{h838Gy0(DBSRkseRSw!LLV3OaoxP3QK-pKQ=-P8rbbPVngKN< zYHp~NsLfDoP+Oz6MQxAT0ktz~?5%TQ-fcSK!}Iy-Vf-HQ4g^$qGf)DNg1QGZ7L zW%IKkLxVv>jfMsd9U6KxjA)qAa7M!o4PWT4c^lO&@4#(bS`9K+}k(8BKQP6-{4gTG5=L*`WD^<{Hfnnp-sYXdcmg zM)M8LU+65+xj^R{ojY_M(0N4X37uzjLFgjUMWIWEE(Tp{booS=5nU0wX6Txut3lTj zy4L90qpKaC(DjOL2;C^UadZ>tmZ4jTZWX#U==Ozf-{`iYuO5AUqpuZxQ}o@V?-kt< zx&yjr=$@l{iS8A;*XZ7%`+)8fvcc{CZ}dRu0qDWdBS()CJq&tu=rN(k89g3b&{{BB z2wGgUFtns-xua!4%M&d>=-+_;eMc)oYmQcf)+1V5v<_&U&^n`a-2&b-L(d#N3-m0} z)1YUCo=5aNp=XVrAL!YjXN#U4diLl!py!01GkTuUKM4JENB=x*yhJ}3{SfryqMzsM z3x7pq3!mHOyyD%f!(Rn^72;J?uTs4F>ecsOyW(; z-Rm&Eex6@P^E&pgQ}H^P*Xi^+&98IzI@hoB_&VQSZ}RoFzJ9I05cvhgFF5{!`WH06 z;QEW8Uj+Zs>wlyE@axq7>Zf1N?ANpS^(=oqt6$IKuV?-1+5CF8zn;Ud=ltt=`SrZM zq2=wZetY}R8-9Ny?2Xv>{TmZ+p?G^Q-m>B?&)!P(R=&NJ_^qUGW_+vA+v)A?MBh&7 zTaDi8_N_5*?b};R-`ezTsNaUKEzeAEZxeo-*xSV4ruuFAc$*$?7xVV@_Vz{J9@E=@ z%D4Y~|Me>WdX4{jz5R9If3@>pbBz(g2;0Pik&6+-=!su3e$DV}fnN=Nt?}!CUq}2p z;nx|zVf^-m|9ZuL&3M}g#xBMT;}qj}j2Dc5FklRTfnmrn+@ zm@rIIOx`g$VDcLiJ7K}(iOCOkFm@d5FucQfSL5A;cQf9d@$R-A&2_M=u)D`@f!zwb z4W<}VifM&uy`2kVm~qSmW*KHVW(Kngvp<-%n01)-m<^bXm`#|?m|Zb@V2&~GFrTo% zSh!d)EK)2nmM)eIOM#`rGQ_gLD!`t?UV#INLw~#ORN_?OG{9+y(-@})r#(&woX&WU z@t))T0q=9XFY(^s{R!_UtT8^=*B&1xe3I-u43{M?4K8b3_P88yIpT80A8y2SMn*DbC)Tu=Bn!%c}BgPR&R4Q^W8^tc&uGvQ{&%>}m^ZVhg0-1fK~a694l zj600G40k2&4DOD&YjM}(?u`2i_YLkl-1oR2a6jVyjE4*l1`jnJ8a#A(=0Z*TJ zvUAROy5i{zPb;1go-;ffJfE=jySc~ni02!gzwo)n=LVlUd>-(5#ODd0XMBR{A}>E#m^2u2mGAybH>jre*WMe zf`1tPN%7AC|NM=Ae&8j8mjYf4yd2@BhL;vzdU%;Pq>Nqxy#c}&F#{riTtE~M1H=Id zKoXD#C4p;z|fK$MGz#8yx zz!~5iZ~?dkYyek)kAP2rYrr3X8^A5#4sZ{606YSo0MCHWfG>crfNy}m0pIPi0bT(= zx5&C}1V8{t00oc%0MsOx@uHf9jxdR2D z6sQ0yfhwRO&=P11bOJg9bAauDF><-zo zrMsL!?n0hIoI~Hv90?pVI2t%saIE3jz;S@%2*+x=6NQt4QwFCJP6kdjoO(Eo zaGK$Ch0_c!3Tj4 z7d{w#82D)5!;W0w;|d=uGz6Lqni3iVO$|*C%_lSyG+)r%p;@6N(7MnvXf?DMv<0*V z+8Wv(+6me-w0GzTbS`uXIt^V0T@GCVT?w6mu7a+Eu7_@bZiMa(-3mQ{oo0zu?mjt}r4PF^mL87e)!Af-!^9z<7kQgRzHkgmHrL4C5Up0uzHt z!<4~Pz*NFyU^>B6!}I}D15*oA57PkCCrl$uGfZcgt}uPUOkj3l&R{k$A7MVhT*LeU za|3e=a}V^R+)}t{xD{}#;C6yr1Gf=w6Ws1_Tj7hqmkVDUz7%|A@YTcD1YawB6Zm%Fo56Pp z-!*(s@O_8x74FEQTDb4vPT?-#F5w=+J%M`$_X6%E+zs3-xS!x&!~Fy94cuF}cX03F zKEQp1`vmtH?q|4P;C_Sq7u@e~f53f#`@i9V;8DWk3Xcb@1XdT;8rBBZ4%Qyl3Dz0b z75*;a?-u?Z;P1)GNbtn)%;1^Bvw&v>&l5arc>aOs2Rs{iw(#uXX=l#x4}t%*o9whH zQ&xDgDpG1$B6)3zawlXVh|`lDB0ElYlI-T~ z+itfdA}R@;2)z;dy$NHMH?WMboUnqhk}yM9Mc9$Bny^2FHH5W_XUsu$6EioD&`sUJ`yJye7OMyd!)f{JQ16l#$dU=|s{yNgpI#Ncztv$nAmb zInkON5IOuJ2TBfNyRzSm{C<$UAbCgXj!cH!Y}&K}o@F+a+y%Kya#!S@lDi@IhTJ>y zAmqWw!;r^B9(VFsHmT3vp2Z~#BTGsaJMu&Rt;h;w&B)(`{OyuwNuD)%Hsm>y=MVYk zV%0&*nd}`UKQ8%U=N9A|W#$#G`Kxj4?#p$~^84l5kiJ8W>+@RXbJVRJ~K3onzsgYNxiZ)~P$Eo}G`(`IwxKtJ7poQ#(!Xw8UvMr|q5Y z#i<$b-Vj8yN_wt z)VnU*_0?`PyYar8=G}DO&Dm}~@6Pq^JnXLZ?z-&mkKKdq9@B35Z8dQhxh@)9{A#rW z7rQQIE-qYrbn&=_3bJ#F>pG6h0#^`MxUOKXSX@b5>AF(5GIZtQD&i{FRl-$)s}|Q2 z?w-4O=H|vNh+DXBk-0_h7H79u+_H2_;~LjB%r&)Z8rO8LncXULtJW)ut#RAhZF{#X-0tLdc4u(Avpe+eFuJ4b&ZB!)?%8uM#Jw2z z>blpHdt>gcaTmv3{&82={pS}&gd&%sl%j=hs*n|ftok!iY@?$E${B@{LPMdWFi@B% zTx|ZM4yC(gD+p}cfzpi9oYI2Ql2SuyMd^{!6Qwn!4W%um9i=^`1EnLS6QwhyXG$-W z-l%Y?U{v^21XMh?3WLO3RF*E4j7mYJqB5W|rP5HjQ2Dc!AQYyGP~}p^s1j7AR8>?h z)Fae$sVAwYsFzZ2px#1#m->SG1NEOYAT(e!5Hv_>@SvefLqWrVMuNte#x9L1O%j@9 zG+F2&r-u{G5X}mjl{7Ont7+EItfg5;vw>zK&1RaNX`a#C(ELdAn&u77dzz0lpJ;AB z`l3Zf3qy+&EoxeP(4wJ5Pm6&TBQ4If%xGz7S<|woO{<1hJ*`GsooThuqoK!&9&36W=yBXu;FQsmp{JUjW_tRfbxG?Z zty@}mw4P`^(+@*GF0|pa$!Js3#?aK~ZC2W5v^BJ?Y1`9wpzTDvjCO{0N80tY z8)$c?-G%lQ?K|2Jv>$1Ip+iOoLx-9U4IO$qjC45D;fsD!`q|UZGaWNJ8af{7Sktkm zqaC@^DWg+CCqt(rolbPB>GVOThE6@520G1jI@9S&r?1U?W=`jf&W6q>I@fe==-ktJ zr1O=|U-V4qxu)lio(Fm!>3O0TLNAP71ieUl$>_zGGQ{5BkjM)6i!{ zpB;S;^f}SzWvh~Hg*TTW#@?z8WnkATi40pPfEd9R$}qBHgjr;;QCNpC$6?NIwj+#o zZ2Ov>Z9jI|wsFSxjAe`+8GA6cF!r-m;dst?!Fa{^k@1@G55_0PXU4BvfzE1{f-vDS zL78Aoa3%y3k_p9x$Ar&Bz(mMI#6-+Q%7kHJVG=QknIuf^m~@$BOmZd#lafirq{pPs zWWZ#|WW;35WWwZuNyB8tJEel2#Tv)KMkg-s)&}U)9!kC2# z3k?e=7A`CzEOJ@ISR`4bSmd!NU{T1Tm_-ST42voj6BaWTdn^uE9J6@O62ub15|<^6 zC5j~hOG1_;EIF{musvtL|6y6qvVvtL%PN*NENfZTv20-3$g+uLGt15_yRbZDdB*ab z<%Z=)me(wASl+U{XZgtTGt0kNk+H(CqGH8~6*Vh9SkbVeWkt`5ffXYwCRWU>IJ4ry z%8ZpID-A1aR(7oHSvj(DV&%-rGc%MK#!Sgf%}m2g%S^{i&&($?BQp~-Gcy-vZmh~! zRj{gLm0?xIs+v^|t6Em|tQuK0v+BGV>@j0U!;Td@*6i4@W5vm zABKI@?4w~##+s5fhBY;7I@a{88Cf&2=FFN4YgX1$)@H0NS!-BZv-X3v4QqSW4y>J6 zJG1u8+Ar3wtjkzevd*xsV%?E-E$ceg^{hLyZe@MW`ik`p>pRvDtRGo_X8nZ?E*lsd zGBy}C)NJ@*L&JuS4Luu1Hq2}|v*C*kEBgfY`N2NV>~m#f#>SG3hK(&7dp3@2oY*+C z@w{=4DPvQ?rjkvDO(!v-!s6FLtikxnt*nokw<_*m-6bU>C(M8M_#EsoAAxmrr&X z*=1svm0c;jdhD99t6|p@yVmU5v+KxigxxB3YuK%2Um5#q**9h1hJDxUF4&`F55pcE zdpy`e*s^0QWoyRPoUH|04O=U=9@$#6wPowb)|stmwqDq}vZrLvm^}@9w(QxlpT9Z! z#S!7i<*x<*1^n03)~h%s9J?HQ9CsWK9Kf=D4mS>WPF(KbjUPD7qE$|T)7r*X&g}cd zIpth&9&?^?UUF_YuQ)$)e&W30eBgZK+)lf4A-E)5+IPvN&t=4A&gIG#;mYC4V{7=pQ4E)b0|1ZPcxq`e7f?P^Eu;l&gYWP zhR-KH*L-gI-1B+l^NpW#ey;hs;pdK@2Y#OTMevK{myBNwztsHlX*C0WJ@BjH*Au_i z{Mz&DmEQ=zRs2@-FV4Rz{?+sQgWnha0RABSQS!&cA9wzE@P{3I^2ZNfcKqLW{-iWOti?@rwNMIuHPGDEy zRNzVA#VY9njDSx8vmi*2H$lk8lPugIsUYuGp%7#dx6oYB z#3D06ueR}LE08j>5v&cMSg2ufgT(1o!YhP#5#B0%EPN0?5xy&YzMZMB zgdYpP68=s2i}3B79}yrCfCz}NY&B3K@I(-bAQ3?-f*%or2#E;Y?GnRKgpmky5mq8x zM7W9wL_|d7ZZOc^fJlkR6Ok{XKtzRzDiN(B1`!hxyBkilcPLgO4n!P^I1%w8;#DLd z5+V{;BwQp)B)&)jk%S`2H(Y6NXDUUiMCysu7il2USfr^)jYw;ewj%9B+KY4&=~=wj z;{8YHO6X4LPoYPlXQ6LGe~T;^nGv}Zxe|FG@=6p^6uu}TQ52%&q6|eDi82wT{j(Hh zB@7j&6%`T{78Tjnvy!3;#4#5w62nbgjkpPMlj7!!TP41cxToU&A?~xVy=e;;3y6h? z#SzQS3IJlE79)#=izOAyyI6jU*6!J=}Tc1SA8 zyHx-sStNPNT_Jb1+%?iAn^n3}x=Ol6x@YNHN@H1lA!#LPE$L{v(AHtch-B`@wi&m4 zz#@AK(qzt8uq>QCZq|Br&q_p2!w{}9? zb78B0ib&;d0)wS8)_v_)m6FPn%9kpTDwHacDwZmdDwWDe)kt-d9@@%=9+95A5g_aI z_JE#}o+mwDdV%yp=|$3urI$!Am7bB_Dt#<{kUo*VyKyE96Ktrkr|B!{d(!u%A4orx zekA=^`ib-p(l4aH$^dO8%7Dng-I!J&wkr#i3_Kb5G6-Z4${>AmNjZF5Igi3~<41E~}G7M!H$uO2-BEwXMT85bna~T>L4l*2Nc$48G z!yg%;twtIV8MzzPi^O(oBPAnGM!t*!8HF;6WE9INk&%(nNyZ>!B4c;sg|XPyAyzW> zWgN&jlyM~EM8>I%3mI23Ze_g6_{WxEWkO`)Zd5W+GVx^M%OsFVER#egxl9U~oMh6- z2P_Yr{Eaq4$Re2wnfo#?Hlrw% zECN|1vglmb)juCrV(a(&7lB!7tfapezJh$!SJyqsjQg~576gal_tRPcR z+OnvE))p5P^a?%|ObTXO?y}`8MX(}dQ!Xt{C#fRuwveF6qR7)q@X9$Vr&i8&%Uae^ z+`&qUik6Djinfa06#Y`n*%I0&2Uu=z>AJ62V2QC}xnhN4rDBz0N5yKzI>iRXM#Zj* z-7M-=yio!v@wOG)1=*z2E#KSpXj7xjZ8m#_HUrrNW3z}&7)lgM3`%?}VQ&yp5|ku1 zx+zIFX<-W=)`_i0S@*D3ZmrE4P;OUONu%UR$;IAQC4ZCxrHE4QrbcWBvwm+kPbpui zL@A?GtJJ#H|2?8ScT+5EqPCxVzVZU)CCaOm*C=na{m5I7fKQa~DBs|D`HKpW?e^L_3j(sK#a0Um_=W-kPX&PrLKQ?Rh*glNz^I^6 z!Ki{og`h&BLU)Typ|8R~g^>zl6(%aoRJf`LR76zdZnBCEU6E3ery^fPfr=6pl`5)K zw5k}Z7*tGD>~88y%s2F5<6P{i*jI6=;#kFlif<}jm2Hbih)UcIo+Q3X0+mE6iBPH=ObsSaQZXvl*s>xLQrdq68 zyHl%nRb8pNUJamzS`CdFZfZQLX;jmyW~1h_ns4f&)NQA3fqEeIII9Jzg;?d@3dzc9 zS4*mvceVVee|Kul)LN*uRBNr)54GBnL9Me|FX{)WpNEIAhlqz<4|)$~TNU;Q@rb(# z(pJ#g3V!b%xqIa4Imb=kqJ>8<9>X3ZR(;#j$fk=~smsb(fyY9tD_Q->V~NLdkM$lK zEW7r&@A2OrFFoFReDVZ%g4jBPC+H@XZTQvNsc!+FCqj$cJdu0ChBMo@LOkhiSaM5m zHc{D>V{?Fw-LWS#Pqte_z3n};y)BA(%H32qCAOTVd}|YSX+5PqWv30EdUzgq9`QVP z%XnVod6nm_o)4Z+Jm2;F%=3-sx1K+E{^|wb1;h*7&2NIh3qmi5y&&;|%nNcaD7>Kb z0^sJzhgLf;DmFATjf^1|2)6E9r72ze3qBJd*OMXnc# zE$c>VJEO?=qQHwnFN(Y<_M*g#e!LjGn0T@4#bQg&vGQWii+wK+yg2mY$ctkyPP{nt z;>JtBONf`aULv+MZaqHnyu|mCz)M0eiM%BClEh20EyJgSmw8@RdAag(-^+6^FT6r} zMemi^E5S3uGnr=!&$M0@dsXgLg;$kcRe9BqcamEyX%erMURQd<%^Qt(3A_b)3-N3z z$yPR&#an*7b@0~F`&oSC`sms8?4O?x$Xy@52@cq#DBj1mGKk@x{-_L!2^#kw&;s>rDhz*DZ z$`8D4ZV>oE=m(J>#D0+YLFwD(uaNkm*ua_%@S(T;UKsdc=!cOX#(tRiVd+QUN5qd@ zKN1_Jvw0x$w!=n&ABBDt`BCggi63Qtl>1R*`^fy5__5>1?ndb>28@*-d)sNofggu{ z9QkqV$B7>sKVJO={Dk<4>nCDEi#Ew5-gZGr;3uJ$kbz&VE<=L*oxOe>DEZ^RKagL;h{&-!A^`$6tuQxc++d*TG+B z{|EU$X@J}S@!-u3-dOPV9$*qcAHWT}vD=dOQgqG7<;%cdBAj&`tTl=0Q zfpjhR*dX@C0W6xg=3qg##mW}rTI6bxs0E8_pde5rQ0~UCH^8B`@Mf)M%ilIJ+l(9A zOc|&=@F4I=;JF(Sx0u~#c+cC6Ym0_9sM$DW1CU)d2z(OwuJxr2*KZDB&Dz?aH9>1$ z)^4mFB(}jY2uKjPTLojg4103+koLFiJiCQK5CuUT1a@W?1bGmcAXtK64MG%zI0zvK zNf5e0$Tn5LQU{AQY)G~?Zoe9aK^O&L9E3>_ra^cQ!X*gTAc7zwLF5LJ*r>;f#6lPw?5*qAGm66?j)FK2VmmVr;xdR$5U)W3 zK|+GW-6RUjU@YXZ$-%msy@DhRk|;>xAW4E`4N@7rNbU!D9OUmo zUIqmOg}ZT}LT!nq@Pi@=N)ePYD5Ib(gVF?s2F4Fe8&oo=;@}hnjSN~D47Xr3!9@la z6+F6NLBT?T#SNBwuq?qk1V1SFaf2TkA`&9kK5S;2@Z7JMl zVw+rT*0i~>3cb}nuV9;AL!a0L6Z-B}I@?l$jrBH&+t6%dq%|=cB5mxmvCKxOH1u;D zTteT3ejWPP&|gA-4Q>ByK*GSa&biUk&6li`SO>7?X|2;*n>8bA7Ix-O7(y75FmyK^ zYr9~38TQQVVeC}9MPV3+VG>3VMkI{fP3y8`*Ft6sB5bI(mTsp+Q5eNxWT)j}RE5zH z#wd&-j7b=~TlFs%8$Y%v+u{xz-K}%jUyY+Mj>9+!V>^Ed69^L$CT^IBjY(TPZV`&j z1J;cadkRsQ#9@+zNf9P%m@c8NLOq9>7iLA6m7#rpF=rd?&ciTI!n_FcGAx3y$ik9^ zr5BcVrwol3nm9B`XiR9@u=2tx2&*_e=HYM)$08if#@Fvw%!69b-NI)b=BwVYvZbG1?`$BC9%Vskh z12)|-ibNaC_zyIQ9`1`-N>AUv`G;qYm})d3!>bF?qLra`A4AT^!RXW@uAGV1+v}lu^_Q^3}MzM%vk;h_)CB%|gU2hYF zHkr(Vo!m+lu_Cc@H;Kpsb9?n0$uzOL#2&;Ri9L5iLtY+xCia@xYh!PXeTaP$`)=&# z7Nf-e8V7H20C7O#z_mFk4&LLy`V7P&i9*(87#0kU+i4!+Y)J7Dn_a{-j=W!7b-67a;doV;nMWH6~GZd`&z^Jd${B;)(70ye0A0#D~NuiSH&p-vodSH(TUt z!R346SBbwS!CMkQ5|AWtH~9HqD3Anc61*pYjaHC^BnjQELTtjJRV=L2*p)2Gq%esI6VoQvxBh=YF-RWgWWmX@ zOBOd-hwXv#?SXkWMLb1~eZVz+t<&xC$jLrom|{2m@8f(a)G2f++*4Pi?mwF(X`9lR zOqqT6QWm5vO4%dj+}6x&;VKorEyko`u#);#46*v069rCDByckE{S;B{?@$ zY^#s?y6Y2BsulGbb5WNA~UZI-ru+S%8Vc5B*KX+Na>d6Q1fjNn2voqx#^UpQ;|+4olfcWkxp|uozrPar=N7r(%GbQpUz`C-_rRj zJ$LDOOwUt#b<*pS-dK7s()%O5|2ut@>7z>@Q~J24kH^+zz3kG(O&69fJYCXsS<>Yv zeP-$Nls?<^*`?1ReU9mKN}qH3&tf~W-_hY6E$?~uUYy>G{=MG4*ZcQ2d!Nnw1MOev z9uxbp=pL?nxbNYyr_|Qq_dMV8a?h(hKka$5=fj>)dp_^^dC#wVDfa&RUW@%9-Dmke z8~6EPpWFBIzO47A-J5Q2#=W`iE3>caebw(za(`0$)4V@@?dxveWc#MxH~qfL_MLq{ z@B3~)9QH%DAIAMu?5B1=4f|={PnZ3i?dNcR?$6Esn(x2N{`sR3(&$yA zUmCq>1Y7Sjq8c%cxJE)Fsgb8qpwV8VOru<*LZeb6qfw>NQKOSawMKt5`p~G+sMV;` zsMl!F=u@Lnqe-J#qq9aAjjkHqH2Tu$TccH@r~U={?M=V^$3C>GF|lpe8t*ig8t*mE zG|n|HG%htZ8dn-0H9l!vYy6>cqj9Tor*W_Gpz)~jr17lrS>ubwSB<|lUNwH&C*?Fy z4MKy|pfq?IA`O*>lZINuhla*JmSZ1`(J+4(#q4y*DBD;Xpd;m z)gIHHu;QBbV(k;{yV_^k7ur|ak99zF;Oao=KV)Y;>Lk<}X^piOT1%~!)}GeB)`{M>T8T_*ZHLLvo2g+WV$GHVRTXH;-rfYT{OCAbky| zU142ix~g^6=&I9IudA~@X8LIKvDU{%A4h#W>l4wZOrMNC)%rB*)2vTl`n2jg)pe=s zO4mnSx4Q0hJ?VPZenU-Urq;Oc?tA=5*xhei*b9(p~D zdic_xuKr~D^Fx2m`tz(mS3PEWG*=beFFg}I zyL!&_T8`Kaew&%K^UJ>T@a>T{vbl|I+{-0Ab6&yzmS`r_&f)0a$NjK0+Rn(3?2 zSGzOno2zeZE4JSzef!e4Z+*M#+p51N{q?QCnJvQW?@52(_4lgpNZ+x(JNhp4UFy5i zcVFK_eUJ4$)AwB83w3gm3ANtHDnjXMMlw`%T}! z^!;1k7yUqbJ?eGT>!hDZKQsNz^|R2=UO(-~&-QP(*oS72dqC`fmcuV}_{&!O?DPNb z0kZ>sKj6ha4}75Vz~2wNJn-W|qzCzaNbNuR!Vmk*hTy}#KI|JCMi2Yxu%8cF9PE}A zhpaqg!y%s!MRO?nLun3WeK6C(+z!Y3a2yY({7`p?raZLfVB4~~{?MHdLv|R(!)OkZ zef5Xw`u}lsCfZFSTNi$o*1f$Xfh@-k(6oX=*KlfxY7nZD2aJF59=U$^e^+O*Siy0e zkl3m-?EUT6bbZa{HQU$hUvqrT%j-J7uJ}8>p6%=H{Q4`r-aowFKfd0(*LQk-H?QyZ z_1(X|hu8P{^?iALPp|L!_5JkvetCU=e6QN?RR_Sq_vZWehJ9}`+*9A%U*A9c`rfne zz4+eS@4frp&)@s>y}x}Qy6;2(efU*)0CcVj4~c&~{WG(F=H;J-{j<DWv$|z<$LfLAcNnK(S7uGinkUvASaXDh6|PkHOIbtkf5NxP8Ve&O9Fj0VvgQYT zgREIuTd}rfZ3kZ#Yxk@jSo^}-8*ATL`zZ9C-2vizXy_q`XFJVy7D9H2)Y&dVP!5ea z+x=vH#d-$SEOfC@yRx33RfP@}N>kQb)=yA~LI4VJC+j0*nowRsUdj3uVn^2F(|@u3 zH^}3lV}tyQ?eWid_SCYcjy)aN6Jv*#9XfXSj6E^7w(Qul352c=2T^o>t!Jg{-ZrIU?> zYacF5xai=DfR{R6T6i(A*9y;I#=bDN6c7Wmhq2_cSTtYRUkhweq{WmT;n-o zoHH&MC&n$~j`6^FWPD~kF`gN}GrlqYD7Xl5VB(pH&rAp=BooAhV!|+CnV6XHOhhJr zFtIR^nYb1P5(pD;Hp`aDt~e(kYK9`*@+*@=Ibrasl8i~tq-2tqR7_eX-23zLb-mB|y6c-Wsz-kIE(d@%ZhQN^fc)G%rpb;X=PJ)MqOy8N_n0{ya!ED8B&1}PL%WPMiB2Zu2Z_H|D9kZUaGY_e>^eG;3lZ2HBfjZKe2mIAi}W^vat_kp>t_)(x1hs@Ir z%)OLz+cD+@bCNk?PBEvMGt61$CgvP-p1HtWWNv0|VJ8}{*|M-Du_d!*Wy_f@7q(p4a%0P#En6XkrMme3Q_E7v(ymDU z)1IY)rI97Z5@$)UBv~Ss6ibFB%hJS>V=1r{S(;f&EM=Bfmd-3)S-P=wX9*AfDEKi@ zUH}!yEz4aoEx}I!IdDF({LC}1(p?F*+TQyr9TLW8XwkEb_wqDq&W+%o@#7>%>EIUPZy0UY_&K*1V z>^!nFV`t0Gft?dOZ-tR|sSEkw(y~j(E<1MFv&+CPBfBtm5$qz_h1kWgi)9zbE;G9% zb~&@l#;z5+*6iA_Ys;=3yYASvXV*Qu4($5Et|Pm?vMXm-Vpq$qo?RomCU(8C>z!RU zu-VwHX15)?J+a$?-Hz-wup4JL%Wf09Id)6zmf5eK-D^-8*u7=Do9{AI;$4jBa zRV}YNUJbl@<<*_nHLqJnSKb}%{fcHr#`Zxe6t{A0ztmUjZSL*7}wV|+LB-4DLYe0S!3#rvA~ z$8wVNg7=d5#Cyei&3nsx$NRwhnfD9t6Yp2v<5M8whtwES_`mr6Z@%YzPkcY|z32M` zH7$QSLcz(O9{f=8L(LBjl!g58T&Ca$g1Cwwo3c(na%evI(edNLkH7fw!Jixcyywr1 zKR@`Vnt$4t70{=z*je&V4_;Po*n1KG@`MEg|HAnf!M_lP=BrG8IR=IN>tFouivNA& ze}Bbbs1P-Vo)1raIPl?_54h#VUn;cme0<{Lk&l9p7F9kUGwM$M`czu>*LVJ16^tLq zNu`=8=Q_?*&IFD$&NOEeXAT!KTp;l3*uykDM=@ubf}GXo|yIJaI8_ zA-OPII4&X=cP?8lKXBP`dE|2Bl5wfHw1w3K1PDerIKxSBlAMT>;-onlPPl{P6gVxM z5~s}R%<0N$;oT6_u1D@QrA5ML}`CceaiNCb}xn3L4<)bZ5wv@e4zG^0uKL_Fa> zGfxXonWr01cb>LV&Sb%};yLgfd0u!v^L!~k_*L*#@m2HH^40M*@HO!@^RwmWH-4V^ z`3H!MU|;cT%dZ{WobXri>%gxgzgm9H{JQbm6Tc1oSK_}`4pPg#<@b)??|iHHR`adn z8|Rzgo8%kuP4P|h&GOCh&GRkrE%NOL-xj_lzGc3h`F7|3ll)QfN5da2f9&|9=Z{TP zt*AOt4Whb>>LKbDoH9`lqP_zIB$^h`obo(sglLp#jA$%qBOr-@_W=fnXtHQdqOC+* zi?$W*hvG{vu!BLgH_>s?8PQqMy@_rSyH~N(qOU~X! z7yT^y1!g4CXVIU;UWmOEdkvd}czS}Oy(kO*)nto9BMx0rTtXUC5AtV7C_i~%%O~RF~!7$#(XcuJ1#Ir z2qT3dVYDzt7%R*qj1$HS6NHJvEW#vVvM{SKCt=RQ+=RIcvkCJq%tP3!7>3XXST3v- zmV{NpT45()ov>cmAZ!$N7IqOf37dsI6`JW(7ZB0Zim5A>XgCz7K};`YdW4o@;$k8( zDKTj=88KNgIWYw>MKR4{N@B`lTE%o0(@jiwF>PY{EvAQXOgIwG3KxY-!mYwxi}BHa zE^UgJ!jte(1SUc*4yPzZBoVcUMnor~7cqz!MVv+aA>txp5^)vrBxWw=wRAZ@*3#%K zBo-@{D3&ZzB~o1wN~tZzN?4{a@k&OdMWiIsNu-}5-9*|7v^CcvHzKzpcOvhK3p4LU zK8QSs{37xw@;{}E%0grkS&3{!wjw)`y~t7IS>#3JBytvc75OakP2{`Cc<|pMzl;13 z>p`qstWvB_tX`}^tWm6sSd&<@I91}b6Q{j69mQ!DC)~1$^G<*}3&J1V>eoSBM{yP6 zrx8D+xK-lzByNMaS#g`h&5PS2?v1#&z!(T@4DK)DK8gE7Y)ot%&wa5;v60x6*o@e$ z*e0<#v3aotu|=`XVq3(P#FoXjitQw}vv^eEQHw__9-Vmnl7AF>vaD)ZwX*7DAqx+( zdXd$utnRXU$p8FD{&$pr8d)^}MyKxYFJ4a_pxw6ggio2Me{hR(Es z7Vnd6zR2clX-^w28v(c#s8!%k$wmVm1u~Ru-efa@=p-8t29s=}Y-ZW~kj(;&k!-ST zR@t0D3zE$R;2z+3WV6Wz{FF+zb)jdqt!z8l?f{XI?I7D1*?yPp4S*HdKIDfMOcVLx zC_ju~aLA99{Mg8kt^D|_9P*u&-3crPxjU5BdB^2W$eolsC3hMIez}`q)R#LicR}u= z+|6?LL+%#2OLCXxZiS~^_Lb~w*?%jYch6-nVDW{C7w%lyYuOu^X=VQ=`w7li7++y( zm3@@`496)vrLxbmUuA!iJs#=;m!|CRvft$XAooJ^R7ylt%@5t~{O~sFlY@QQSX2Lk3#5rk@}T zf*uQE9aW|U|0*HmU(eW}V?i$eBKh@6etpK`R(}0jW(j{EMUycVk9_9Ef$4_$nEXS{M97|y}3e2W4fR>|@qrsS1 zj!uq2j!}-Y9DiW^D#t9x6?05EzRTBIzJ8Oh?}fn(@?{xjwUTv(=upN?@J$Y7;Ef>% zO13iQAjvG+a&*h+Y$cn~G@_%EEK7Dps~~wLd0mKWyhDX8`9bodB$bsaO0`I} zO0`M7lbT6QWjl|IT)%h1TMlYz-VGAJ2>47mL)!zN=}R-;kK zNHQuJwTxCqFJq8#mT{3W%ecyTmT{Bwlbo5Ht(?7_qnsBx=R(oLd}|@OM7dmLs${AQ zS1+|Pb;W<5_A(7Jy_CfW#$budBxE9)7MZe4XPIs?-DTQjdY9=Tb0;&CnPfIHuQFfD zlRx+Jr9pvpO zZ-cxEc{B2ck52ODy z`f#KVBYim2$BI7I^zlGlMO{nXhf=rx3oW8fQD;FQqHd-R5Ed9K;g^DGMQDN z>OU0z1SY!$c!8=Jmm&gS0tg8}BB;02zX9|BxC7V?;4)Aj0a>8_2e=6!BLH(i{R&_K zs07qssJ{X|0IUG*E871TmVVkFX#Y3udAYpp3Ep+s)Zs;^y`}vdY~-{Lw4Y%Dhu<3( zZn(1P=}1qC4i!9dbdYrHVC;dFg^m|`J``2SWF@?gCHJ>&lnI8Ux{ByR3vH=4T+XShh~)oLo0<2 z2b~Ez3iJjj_ffl(NGPvKtR!wE?x+Kc_n!xdBoAN)HQi)qZ zHii3>TwRc{t}SRcP|)12U}oH&+>zWs?uFd9A_s7KBA-4sPx`4(35(7G^m!ez<-zl&%enan$ znh3wHpeSexhJvLKDI^M+!b;&p;X>g?;Z6aM{GeD-R1_zQf#OVYp_nMH6i+3`W3CHZ zcW!C^NOMPXPxDYz5;LQjmpK87FFZA7OS7Xn(!9`|XwEcmG(YG^Ti`uE2Kq6U8tq4- zA1nQM(DFw~2mzNJ$lj%;r7P4iFn*RjEeBeTv<$So6loIV7|Say-)UiGxQMX?3Ozg% z7e$Mv#n57DnP_pecv=E2k(Qa3g_cB1re&q&M9Z0$D=jx#?zC*Q{HEodmPd&wN&hKq zcwmE5OX&lpuE5WL8Ukn}4U}Fejg-EZogU_zn26vNkQ60D$x`x^0;Nc4ru2i-LMc(o zlvYY-N;gV(N*kr$l-?;lN*oFx^tqwj0>4LjSAa%&Px(msGv$HuOVOTWRtBh9lwuaI zwyY@|%9gUD>?udeGv$SHqMRwOluwk;lrNO8ly8*plsC%nlpm!QUWrymYoK+eb)hwt zJQh&!fk{5Kbm|J}4NxUeRZat)Sb1@uES(~qaL-Jq8=W>fS9GrF+|aqDb4TZ%&I6ra z==_b&Bb`|p_u`Up)^s*>wsdxMj&z>sywEw(In((>XFSe3ogYYpDTL-rOP7yy>A;x- z(upnyx(sxAf%FDq2fDB_d_onE%gn{n#nC0wWu{A}%bhM8T^@9;=vo)j^R=aGN8s39 zd%Erk62j|9S4LMsS4mf*tD>u+tEFqCYohB)*E3yjbiLDcqw9lyvT`x|8R=Hht)|t0s>E6)2rF%#Bp6&zPU+8|L z`idD;SP zk+zw(AG9sBCE7A=D{Uv*&a_= zrz)?ipsJ{iSxomIW6`lRZ!s;{cPsrr|y@2UnA_zy7gL81pKUNx<1 zJ^*g68V>TfYGgT)3dI}T?Kjmp)p)S20kBrhteQnNNi|tDt7=YQD63{uZL8W21YXq+ zs=cd^NA>Ypef*?8YSjs~`>J+K?XudPKul9T2k%VvvK)E^KnBE^0WVDTZ>pbE?^N#r z?E;@m^|R`KsD4p>Qhiqas(L)a8JH^7Ujdvd9HafS+J9D0RbhlYJ%f7!yofr~>d>jf zbMd_$z7$RUL8@b|j-5Il)Deb^y?Q>X=dbFS!`P`larH^4Pg21n_Zgs(qx$?+eP-&j zRA0FIi>be$5wFzOT75mJuSfOu6C~qMEvw-P@=7%x)c8e>V`+HATlsNu7CC6AC{ZdyTZSoWPe>AQr z$_ucqRJ16?L}|WJCX}=42d?J0sw&Eg&Ug*rsist`RHxKlsVAj|qMlH^)D-2-D&>?4 zN=2oTQdy~0DSXyL=}PHZ=~n4Z>0W86bW-}R^j5?dR+M%hRS6!zYGtjmPT8RBqHI?7 zr0hjGR%#Y!m5a))%3YN=g%clI6*>iBGL(QJsgPB;tFWo?C}CCz5&=j)wkmdoLKmT2 zhG3AXC{%PR1{I@Y8^2fS30wA5|Vyeo=WWl~=YZdzF*Q zXO*ui-&DS!Q}A)~wE*I`;|^$jhd#6}b57+NtYKT}O4b>bj}hle!($ z?Wk_g>NcqRM|JPi#?;2uCNM-Pzlu$(&8p3-EvPN2Evs!++etkt^=Q@On|f&VNb2!R zm(;peSDmf~UA^e)uB(TxTU~d$9(0{_eMj^K0w)j%p_^7W9}u^on}cqSx_Q>kr=q55 zc-c!dQa7Xe1=ymf$Hwm0~Fx+)>0)AaL7v0=+Tj{pdZ3h6i zZU^1ob^ET{hyHNXA3o{bu`Dn#8QPKFDZSGGn*v>`cV6$J-p!zk0wk(;S?|tzchP;N z`?>%Kq3bE+M4@|G>Rdb@d#!r|u%PbWbU*3d>E46xr~9b;S@( z-aqU8tKKucmwHcnuk_yNz14fC_g?Rl-e%*XrjXvUUtB+nEvwnWnL#2l&J$%+L z91?0hKI!oQ0j?f}9u;J%dJKAudYtu`AmY^H3b~|aEjB#R5<$(QnTH@ovl&_w&5~vr zste64&1=mY&0Ebo&3A>7zz5AotfDoKn%^|PWA&&-qeZJlhc%uSqZSVP4=q;Ag|%cD zr_)ZSUZ+8)7oA3(NGGe4 z*Xf5&i%vRb8J`MWB^y#KgcYTifyy)vrUswIp>RY96wZ8TG_M~qIeLL#gv%Y=Ox6k_a zMc)Q}BYnf&CVg}I=JjpSx1{flzPI|`>HDDXcYS~8tt!g64dMc!F~LQDx#4<`-=xu- z)!U>ur#G*+ptq>ES#Lk|w&*SCE$eO7+evR{ym5)OTd_AQ8tjt!Z|qIhcl-hL;6tBTYl5QKr$R zF^B*$jWdlmO)yO~&1{+lVHHT8FwJV36A~RvvzfLvZD-n@X?xQSrhPH(&9ryZzMJ-8 zJ}~n^0_ko(%wV;f57~S;0mW`U)+J*N`6Ro8*?j>~+U$5)%-A@Zv=tSdxVc7!Ol zDEb*QjF7n6E2!);Rm8XrLorqs<0Q+RgK$p_8a!HeLlONgT1~WnhE_u-Ll?9$ zhHmH(P>7>wHmWhIHL61aYSdtqH7Xi)GnyH_7}FVJjpb$EZe_RUyltT#3o z8;zZfU5rh}W@ArgnvL5VN5)y>qH$N_nek*oXM!~$mSoP@nb@1iOq3>C6P=0P#9$&m zI-9tdm`uzjt|p#LJeMR-B;+hzLG8lP1)l^K{tKB!nZ=qVnq@J|YL>fMHj`?T8k1U+ zy29m6gGr-FtOx{>G%1^OE4iS^WXr9|9}1g4cZE9+f-j(+c`*5<_%JdvnVU@IvYoBT z&SYz|wJ97X zW;159W^-oqW(#JEW}D5nm@Sztn{74Q$!uq{UCeef+q?PQn@43HwRwCn54=B^$2ar% zZXUCFT+HK+^j}-Gw(4v(AXe7at*tv-56E@1_1)GFL}3-}aEWvhwjl%^*^*0ygq{VF zImouLZDrdINhAmqvF(7M4*P-Ik00&FgYAUv-iqS5Am)LRC!pcMe78Fbk~`?_V5tL= z4kWtmE8F+BXTU}S3=O6;D9pCE03`#C4E8bb#6Ssy3k-m-?Ju^!78P^B#X{%-{3`+N zYWEg!RlARNKLd?w_X$)}uu1_ZwS`Ig+df_Fu(QLH9mo#We%luv^!NnB4;(3Qec0Cu z#s(<$A-=b4EYh2ig^ltxEB0^tiIV;0OZlO7Yk_>7vsI^M=tf--I zvZ94($%-8`NmlHwI9M@Q!K@Gv(3GN}NL!#vfsO>y5N}0aNiJOCgJLb3h$gwC5PdmRbrI7>m*e zRSpUo)E1}@aEe=f$6;*sqtJG7nX{F(E&fZkylwWavv15!t)0kD*1F2N#=6$J-ny}< z+Oc}Ytk>Z~&bnw_vMyVD}lfssfVod-L=*m<-wFY+i%%4cO~YiDO?Z|7*|+0Mz%+0L7t-|dgpE`Qji zvdf=#sqNC(rL{|Emz`aDyX@^U*yWpD#-g;s8XR-?#oEQ$#oHy=CE8`S%VL*gmuwe2 z+Sx8QyWH)v+2v7kn~{5#TAR8;RZrk9A8b0>G}!b~OmgXa@h&7@WL(&>C$dSE(tt(ZqtTnXq)Sju9jP5|0yPk4Dl%>W7y|ohk#?y+U#uhHV2!d&9lvm&B^9$^J??i=8Mf&n{PJXZN}I7 zZS%vfon5_MXS*hQs_m(@r_P>wdm8NN6+VoznmAc|iuN?y)6JeXdwREsUODgWrLvbA zDRB1E+Dm6IJA3Kv1-BpVWw4jgUdUd&y<~gY?B!vvo&DL`pZJ^EpJabp`!m{K!QLBt zZxP{Q@4dZ$v-g|5-|fciChR8dMi%YMh8NsqH)l6*w_vwux7lus-ICq1eLUXk?yb4J zH9z0l;jJ@oy?E=lHzwX#cw?tGv3n!&M&~zW3l6_L-Sb=IZ_&QRP#+PBof_4t1r>ySTS||8^hWHu<*2x9vPt?NoJBHB8mZRJ~5s zeX6UeZl}7N>S3y15KTJO_o=B6JUKP()O;ua{^n_Fj#KkIHJ_%27r9>}%l@ZPQ)7^~ zH#Kf*{M3Z0iBmHpaBgZAgu@}}ZE8+abD5f-$TpkW7P&W5+fVHB`5$Z5AAEM(f{Y4<+$)zsHh-xfEbA-k*3j1qn*ZS8vQheX-w0Yr}4d{(K0>Zf?E6`d16IZkt)7Oe7+=w6pZ#MDlyo6>Gd{RBpPdYaNOrI!iLT6mZe?y06^r!-F~ zO({=loziVe_bF{tUZ!;}nTn?laWvDZpH8>wv`uH2pX%w_PS<6+Zqu!rZoBFBG~JHV zZJ2I+x~b`Ar<E2KG+jPHA+hN*17vt2%i$rvj(?-*#rcFhAtqxw>^FF?w+ItE=zGf_2S*T=QS#up%neH7(LiUGwCcV=-@)*iOW7B2W{{Ph?&q z)zXxswQ;WTt_jF=L@p!p7hSU;D-pqmu324ka?KgZg08u`<|i`$T=NT|eXgxs+al%8 zAs(v4)D4JmbL|5$Y3@UGA3wT}!hMuwzxr`{@L|kT>sVee-{f{Ng_eeh%Ect z68?dB4^t|I-XTuI^#Q>c$h~m=57#e9szCCD>sQyGTz_``FV}Cb2a^8a_D8q>gb)I^ zmu|1!-nzX5n&0ggaQ59kyZxzzIUf!V+{6R$U0=WgcE_s3J0BZ&>|6oM9tsxpIJl#9 z$9oA1_|m(-dpF?ElN;W_WpLj|T?5&BYP{=`kiu#q2l11?O0BY=#F61}(>M2iT%cj-BCF za_kBVkmI%EEu1s3h?KQ$VVq;t|c8Jt|4OirGhJVO!Xs4A(~MMcy)`cPuTko8n_GssUkIvO0k z6u&#Y7S~{rRzNBN#T+*67`)Y)6i+BbP$f9KI(u^Vr?ci6IafJkfR|TY>)Z$DI_GwHvf|n1+~C{`e*Mn97Sp8T_+=E8LHUk# zsdnAu%A0pCI2WCpox=lW=T_&=&Rv|lI(K(&bMCkEyJEY9LcvGp7w41ntMi)+jSH;{ z2N#YmjK!A;2}4LOti_-SZw+MZm{!K%VsvqKad9!Zm|esj&MscvT)DY+bK~aL&7GTf zZXS!X6Cwx<3})-*#m&jhoBOf4A6tn!UmCZx2$2KTz%AsK)h(M#Rf#}HZf$B^>Rj5D zgdF5)q`{>Zm&W1~g`gg)ieyTekN<0mF3m12E@hW)F5O+ibY^bb@`*q zoy$9ydzTL`A6*_?esOs$#?vf|Oao0ro?MPD|8P0Ee0BNe^4;al<#(6==hn)twObpv zwr=g*x-02DE8;%JVqJyIA2Ls9Juuc?ja$827q=$2W_KcY!Y>5&R_iXUyL9gI;x1Qr zt=zRPA-&huT|0N(xohvPdv_h&^~GIB_?b!*a}DmA+%>!F-CZ~LGrC*lZcpyU-A%ch zbvN8HyIXR%?0((dy>|D;-CK9>-2KHNc^(nLTj#c?;-=lW+XR%SMTfE}w`sQ-^hr2r z%hP1@ZVPUUZkyfq!)=S(lH0P|R=1tpc6QsvZCAJbblc|MlY3O|Q9B$-k8ker%U7+h zI$sUGy8Az+|1yd#!Pl?8#y{_fCr2naa=U%gA~V}JPrf<$=2)z~4M!$)5yO`J zX5}008&g`h#`(tkCLm+jH?wbk_+~+NFM@b|v-;-bn~QI*zWIp&THm%M+_LSElj_^S zw=ceZ_wB=fF#h95|M5_?HYH*Zp@0X!JNn(?cggpa@9SbIEB49-o5LqSg0j-~TE`6dU1g}5*?GKwj)?lXlWABd=;A5ag{ZIk? zA^9Qum)gHPfWIjr&*RRIPkuc3@#x2AKYsG#XFq=N<6nOK>c_wR zIQo%+km5%P%84J9AA=v0AG04<;4u97?pftoUGkz?>seQV_zIx_TqTf5;AMeS8H)?_ z&~Khi<eygm-g`cH{@rs~L{G)< z=RA*|C(l>UZ*Zo0{(!j)mKZN9m<^!#_i`*&@1nQ9Lt^XY!&BwyPfv9TwWik7#}Z9h zw3v`i9zA{WH28lti-n#-AY?$~2Nw=>a!^`f@q!U1u8WXc1y2!bA;@>2r}1?1boTVq z)6LTzVhc~dJ-vH+cqP29ysoi9^t$!B!@>{iI&9srVDozL`o-%J8#1q@*QQJt^z8M5 zZHm`tY%ILKWAWhiyEhEuQ4AlwZHsxa%!Z);#)!mW7=bYXI%o8>XgJa1dHd5(M?XnF zCGRTlY7}bTwWy*>To|&3+_A7>$^ogoGu{R7X793hSG=&j`|aJs`wFimJe$2Ai&4J( z&+(O__pA3;A1WUjA6g$eANnFd3)Y9^!`+9?hxd{h9$UnImUOZR!WK|8(5ho_@>U)r z1|Or3i;v02?BnX=$;Y35uKZm4x$$%B=dQ$>&3ivT`*|of{aF@`+pPR-%JgM^^Rx4F z^z-cJ#m~vl+0Uz=Pkz4o`R3f4bK}p^pBI1a{B`HA(O)-ztNg9@wi~=grND38Z^FYFutDOd{HFb8%KQnP(1zpM`z`n_`fc{x;KjcJbThAC-SJ{?Ylz;2+;Se&LUM_@fFH{|y@u)@{-eWx zZ1}SZf41Sz6zVqAU8sjpzl8cV)VL*w`X1^>XsXcEp=m@H#VGxSyHzZD=v&qFT|Ls-<5y+S%* z=uMgP^>2voE3b(Xxrcx~S+Pm#|L=+zR_Mf_B284Tllg7~$B4Bi;$&n8I@vo}2L8hUZ;)?!zY+hAIqw z7!G0hTwoQ0D5{eIw+BGz!f+2SB7EBee+DX97@IIYh4B!^V;G;q_$iEE!}xa?$AY*R zc^E|)Wl@P1h!wWYrc5qT0FE9EsW3)hp~AR?F@-UM))dBb7=Zz*!t1y2I*0Fl_~#T@ zU2N9yGBQ<`)rByE64HZ?5!ejy1dt7Z;cj3JJOXb6?+U7_IMSg@b%Dpg7Z{!ce*{ql zQNt%3L|Y<-#V&|Gh(i#^AO`qj3yq`LP~i*3Y}Ex3;FAnu2_glN;V=y16vQ=%pF!MV z^9$k;WEEr$`&^K1kR7~gB|A~>gB*f?kRCQ0xM+f$gIt14 zL1q|N;1vn-SCDu3I)eNigu*Y-d!Pptbr8S>)dux3s17nR z=&_2Pw+NLSghW9tkkkZS1zkhe5_B8%hoHNXlv|`E`=E!QUm)x#EECOx7D3A*2i6J_ zhccqZltsIseb6E3Ip`(m6m-V^KIm)Ex1jG>mIwVi=tnSBFg147!L%hs91+lE35xY3 zM%}vtO0hgx5v(j)W2=ga!Mbvol-V~%)ju#1#;g{D)L?&xHw=|3jN!u6hN%nF4%4wP z4Pko0^r|pdCXT67m{ggdPa#YxOm|F7(Bh&MEHm}eqFf7_r5xlqhY~KJLXt(b4WU^wWoeM6(yQToPI#y} zq#q&Wkk*jSAzeedg>(;T3+X+iN63GKT!mbR+=SeQ+=aXgxes|C@*(8skiUfdHRK`W zmypK-w#ghe<&b63i9_0!b;zb{DzYm-zZ^rJLta8oA?J|Skk27sLcWH43;7=M7V__q z-$Q7e)Gcrp7&Vl@VHD&d&PG~yA>cbktI)^odHHY;a)=OC5!>J0V zKf|dGrzV`*aO%RT52vSaI)u|PoSwt!Q#gGNr!V33S2%qw^t;pdLgj(B9ZQu{45vAq zQaI&sTEpoUPFpy);rt<-yKwHq`6ZlLINNYu!le$E@8ROYwF%cYT)TkE=o-T{hwC|9 z@8PEmKcSbe!)+ICPvLe5w;|kE+1uQvaGS#|hhJ6r6~es<_cq+SaPJF<^!^Cjr$PzZ zc-RDNd_`^#wcrMIkHNwxY;R$k0{U`PTN|F9F>G_#mawI;<*=<`JB95WwoBNqVcWv? z9)9=XU5ED={#S?pHQ`Z(M;#trc=o>L#$q7b&u5} z)@`i2SP!vIvA)NqicKAxHa5H1^s#x0%^^0&*nEo3=h%FW4T}wrjfjnm4HboBqsx-2 zaiu(LLTu*P{D@78O^(eeHka7^jLj{!ZEU;P_OTse`yO`;G2{pxk2_OVTP5=waovdM zMkY6MWUJUSgbE`w7?HrSg#JQA2@MpMU=uQQO9hJ8Ye}*Ffq2?jqGypKyCN4hmS9oX z>#6L@_7T~c2)v9#6^Exd9Exvp_!YnH!3mAyf8*H1@hOhSIDU%b2;gHJb=j>I%p!1# zz#}eT9fI@+A{cmBWiC<(Qy@UiAS;1M6nO>AP2_FlUF3-2-A6t~&LXF>04aRg^WX;8C_w zcJN)pFCFC(-ry)1Y`1W|!n0bIfigy!qFkdqM|q9%7UdmY#3+A9`6!0bV!wd{BtiNd zRafHEi!K?ITxe%)RJc7y1zl7HePq;a)E$(FQSYNZMm<0p7&U{aE@};xTbU0PjT+=- zDe6v?(E)ZKftah6C*2Oo9Zx(BwI8||~v5ARO z8>cQ#J1j`zG{os8PGc-93RqGsHUV*3;*{dFVqzX$6Ne{n=mHB7z<+~40@tlqdP@+jqZ+-M|AJeSJBs)GDP1--$lPe&yS`(`XTz4 z=*Q?88q@-5fYG+Ji)h|#^scl%I3h~(gT5u9Z9p@C9srek41dH>#qggP{*0kU1sp>g zLx)NfMPx(_Ys}D$f>H^)bo?;V98-!Z$F#IQ#nTo6%TBrZ#?M>h$$QwW4E%prkbZ5G5XMiz%L?0WxS&6}AX!LBN^@YFA}{`uni;=PD? z@!og*KUm|TF2#63qFs3?MJQz`lTc=%#6ik1vckv?BR7mZ%GVtsCotHFK>L9J?g8mp zG0=!u81XO?VI;$NEsR@;#0ukn7>~ll3KKg_oG@|2#0!&3nD`+w3@7z4X@p4-Ce1Ku zg-M5E!INH?4B&VbCfE@g+zE|ek}ynon20cuVG@N&941Mas4&UHM2ATcrdF8RVd{jb z8>U{ER>IT|(;!TnVcHARL70xhbP}dKOtUamVVZ}j4$~scT4B};vr#zfg|ktptWecL zRVOERwG%29sx-{KF!w`kh1w3a6Y55&TOec#bqA5_q3)3{JX~M(kUSdnrBLsLdK~Hr z23(;IL(M|H8)_bE5o#IgDAaMNlTfFj&O%*;r4^Q5So&c(XO_z>k68h;wwaYP+hw-L z?10%hb1dfA%yF3GGG~Q373S2KQ>O%O&Khy}Ic?^2nA4@uH>b~>0dt1rSmErD@*BDh zXG)KY!Na2cbMO$s5`&U`~mZaNCAU%(Y1$==ato6R`*!lN5)N7Z?cBN8ZJ^TB3B}7 zpvc&o#nv3Q<{}9kTX$LDv!Kd|KE45>ZSY^SW{oxLtcl_}Yi_XSCTpG}nnU7NMrdH4 zH3zIY1Tiu798JcW9NfXIDcQC~#NpdL(906}R;xoq1w?Q;BFzwSEP@*m^o5`olwkB@ zt&Fu>)bX@AYlF$fWgQRnPoPO69~R=x0YeRJh?S*)#a^HF2CO$EbyROk9UH|BB9ITkbqF&TWE7mJmuOw%g zfd%h;IKi_4X9ESNTQ>CI3(JN9(K?a?CA=O5oC4X%Vj~;AbZq3Zk;g_Ac)7uMjg0~} zxSxMHx;9=inVH9Qqy?D1g8gn5r5EXn2s zof$gdh>bJo?%BkGqMS`!Hd$p84{B>Rsk2FgO?u?ogHD>1YcaG)Y-+Ko%cdUG8AJt5 z6F>CdHU@AkbXn+Obj89dG3C=ps6%c+;TZ25>f@=GN1u!SQKEZdVS-1IF^e%9&j4dC zV;*iq#;S}3#Bj-aYNlckwOhim%OeiLDCUAs3CQ2qPCT%7iCS4{yCM!(( zOjel;m~1k+&E!R*-jr=7J0QlOKvmgia!9UEczsF6Bxh1EDVfZeR7~bfY9{xXESM}= zWU}>au7|6TyhHNU%tQL2ZiZLbF zT(I0@`4-C+(+<-OVig6;o$fHufglW5_n96rJtW^Q4eK2AshF+e6^(1M%QR5MF!Na(As@*UEQoch~lIo#C#N?z-M?rL*hf)1?4kzrX8`cKyk& z&vt#j>x*4K+V$hzy1(1-!Op+itnW6PyDfjW743FFAvD_UPImj&Zr|G-w03vm-5pq= z!re)TDZwt6yF%|uy&JVCTsVS1TDTjxc2%&e+PiABtJ}M}v#a~N8owvIxU;m_)pEDA z_yhPfxn*(7;g-v-6>fRl3b?h!tqa^5bBl3Ha%;}5oLiT?UFkdcWmxB+;O?H!kr3tYTT)Fr@@_d?rd=9EOEFxZSHi4a0QXg zPM8f#STE@?OS!Gu~6Ymm|)Z_e$b9rszJ49QI9S6~8j+WXqZ;$k1U|bo`M}GHJWa8E%tt97 z&G;yX$0Xme_>K)%LcZhj9S^R7aPs3j0pHo;J5Azd-suuQ0lCTz;R(lg#(ZbOcNpIh zd`Iz}98O?-Z1J%T?<+ob`FNF&Jvc4#af6QoKHlQv3w+!pj%V_-fgcP!ZFl&1Op_sU zx!~}M;Ny&sb6D~Dxa1RyPiz>@`NZXu6+ZD`#^#ecpEUSnjZXqTX%b!Zq(hVmWUU;M z-|l1#3ml(tJ`w!b7zVQwpA>vj@~OqAHlMnD>cJ4grvaaC!C*jy)1;S&QX3j%D0wk6 z<9sTh!{XCDJ}r4@^U&d;2bB#NRf)n71XN&XKu9Yo5fJtP1;HiE@Oe0fO%Ga9OiF1` zKvO$`85AZ$Jd818!F+><84qU|{qwNIm>UCS;<~1B8wO8fnh`RNml@xUIJeQOa_(~O zp+7=@!FiKdvFR4aZ3o|EoG4^q%Zziyx#qm&;sGu!E*|8<=EC8^<-+5l!iCR8m5YFj zEiRfwtt~o4FCm8H;4CII2NjG9!G+`^;v(TfaglSOx!B{P;G*Qx;?m~Q;nL;OXvQrI}&Au>~lFJziBz4@=2^Qho)oyRTW#)t8KXwc z1kWVT5}qlZkijl;_%RYgf=2nh&;;m4!nvuti*asQ-6&STez-pSA^>c*B5Re+%4fYg{y>{3wKYr*s>HWmRNa(SaHP4iddy(h!vmqKdDyMWrJuU1CY8^hISvPPlO3f++)< z6^z;OxKyO56vDTJ|B&!);rqg`3IBrdw~1*UJjx(01?L<{R{TDNq9VWxK>+?Ga^{62 z7;N~kia<$&;lIC251%iDFNGfoKNfx>{8adv@MprG3ttPr5LHW59~9MxMAa456;bs> zwJNH0QEiCony7Ay>RC}eC#vT~b(^T}LF5ePRFK|*<)zve)q$uEDGC8TXw?ZRhpLR8 z_^J?9DXNjE#-f^tT20h_Q4d62i-s#2o@i*X=8MgB5m-plCIU|cz6h!!sEMF1f^#Cc zK(T8u?*ut=eTgmPjzXR){73$$ifGnEvo4wq(OeVFb!Q>jKbUt9UkcZ!Nnhg zydL!Nlpmly7HuxtndrEp<59jKVlD5YrFhPWmDE7r>hUas<)O#K0AUKu{=hDTWq8 ze-XPYhOQWTh^j?oEM=3UxKl)jwuvZc*cZbA1+T!F5sF5Oc9PZ|DvxaB07&j=N!?**VT8gJ3Ur%@+!qEgy zUGPJK;S(MqNcaGAHGbn2=ZesS-9;dE9#TM%xdO%msMnzchfNatUu=VUFZ58*;B<%* zi8LB;+l1DDi(Pyo!5G0KIWScayefDgkWG$;;9xSwpb*2g7=5=87J5>2 zd_uTFtO(%=Q9)mT$5MzjAp+d!l!-#LiTqe}iGE4+DHuqMg_x2mS1@`l3n@e-L?T2c z1P)sWQ40Bhkd~0PkdBb9kgGy^LRN(Ig{%r$7qUSq0g?6!nJz%_4)$emVS?TX#2bh} zMZ6JwQQ=YqGb|LwlF`c_a-WgSV5laY^ ziN@rY1Y0gt8W=v{Od}~`OT@N_eG#`r+!gVFVw++u5?ds$NGglzyCPi` zsV6d5WUC^>4_{;*kxj@rj7ra@Vm1@X63Q0J5vn3oO{lt14WZVAS{EvyBp#r#2YWP_ zt5jd8kx-W?Yyu8bFfXf+bS)UyC?S*-DiSIdDiJCbDidlZ<}ESriTPB_p^~vgZj0Oz zxhrx{ zT9&k2X?fDBNGp)mwzP6-mC|;l?Mb^T?LgXF(%zPKm)weRci6eKOX*nBv8Cfk$Cb{C zbSl#ErBjnmol>1RZDQJXx zPAr{7I;nIr>CB{~q*F-OlCCXXSGp_GU6rmUU0=F^bho6tEnOwuT)Nn-lq)N8#gi+( zTxrRbSgzV~wIf%16c4?c5XYD|IX3>+WTj4-SSoEI0x;}BP0$U)0GMN z2*9`jomqv`b5N1863I#;eM|bb^j+!u(yvMX0%dgZ+e9etcZtIcd^7%lVy_We=U=-wygTH+MskXpenC+ ziN*%;+z8jJUXs-bY4R{?#?x7qvKq;1A?uE;ugbb7>zlIPmGxXU9NBPX!;=kPHUilg z$%d3`4Y^U1o9ptNCC}N&JuCxD1~nO+rF1kwn>f*ft_%hgJ047A5YpH@kP;a>DX%0l zJ|bUZMK)`)S(nX*Y_7}ZhHP%iW|NrIDWM>Ub_Nu5PD%dYay}u)3K)o>cfxESH3cqElaj+*>Ysdl`Rk1#bnEu zt*UI*WUDS)4N6jq1fi6g3wb9%Y>AvXvtljBJ(2*CN}lYE4v<;!9nT`!fx3Oz+o-B+hCoR-7XQ@5o0n4iwoJaWbYx_vq32< zd#*fYcLjqgXiq8gY7dD|FHmYhqULN9KRvNqf)5W=M&KYpOg|zu;m!~LO?a%p1P4{_ zE=`_@fDgQQpsoY!9N6OKvX_G^P4-H#cgg;m?4P4tL&Wz4s~sj=5g2XcfXe~604zDQ zLBk=3E(kT`a8(XHIjn%{0=yM+*pS0O4!1xjLAmva`T>;rpl0Y(!02!+hZC{^V(LZ= z1vna512Q>Oa+o8GUk>-=u#m%2jx0HHc9$5FLl8Jh>g5*@dqy=9f~!$#rVM^%Fjta_Y*d2RBDK4JZo}a+r|I9sJec zyamH1qjw#-yukcs$*eP!MgnLs1uG zGKck=49_&RC2K3Jq%d~EB$>miCz&N#01J?0ZAw8vCYd1x;KKii%nz6i<7Er=I&|XD z`F5c>mE4uwgU*q%^>So8go+J%CFqHuuNjjimPeS2%H!!JCWMmjN%4RbmJ~MTR8qK@ z{7B(p-hyccM*LC)Qfy%iEk&CWAkcUbbP*VS;q9K_>*sff`$9>au4$|#j_OD3*NDl)+jusI^a76&ZdR^)bsW+uQOUb*C9tXK2beH%k zK|H3xAq3V9#82-~@Qt336B+E}u(y!O$_ha?h807v()< z1A9Q0mMkBVr7KHMmK9n0vaCwva4s*%axP09S#D%`k>y8L5Lxrcb|c%1>>#qc6zD^` z6E|{dk<*Kue&mcIXF|?vj))u?Icenjky}KS(Qzb@75S~m??iq-@<)+BAu~RdF20C- z8Ts?b*HN_-RR^Sosnw!-J*o#$qaHOjqec*|1yQpeQ65>02SJ(+3MB*;!8s18+Hiwd zQQL{yZq)Xob_J=eqV@$!9E1!T?QYZ_MeR$-eiXGQQF}@jC(2!fK_zyKqIMFsk>bLN zI&ReQkQgTF^pHs<>Wq-Q1lc<%VOqCMgrG!NKP8WYo)z_M(0NBaH|niKJrC^FQ7?#k zTcBVjDtAza60I#9_ZX>>h}aZ-qfyk0qh1d7$*5OGeK+cRl4K7B5UNjgGtIA+Rfm4GVyh~uTiH4(SWJM!8I;I_oMqYGG9TJVI(I|*U zThZtOWsxQB3=m%QK=(lYgTyI-u`?c~C>q7lXdaDpbZLYTXEY9? z@m4h6rc7~QrUw%$1^yvm53zF;`4){OLY|^=5lyUUVk62Znz+%#L%>fo2@oL@OOwNM^iVNdeO83PjSi_j`Vco_YALP zI2Oa}7fgGjXu1aHEMr8HG{AtcclgEQpvJF)v~j z82BSrjaWTmjfky9EQnY;VjZH}2g57Kx5zdOw@R348OQ83 z#Jz}DV5Et7l@gotEm%HamZ0P&#{SR0>`F_ZM9n3tf(ilIu2gcS)JdZ2xp$uf#Z zQ8J2BD@yGsb)wXb(q5G2k?usg7wLYaN0FXHT0~k#I*N*VY`L-J#SdAr?Z&nj+tt_( zVtXrgI=vuEn$r0)_M_NOVn2(k)wnv1t6^O8;+h}Vt+;N-btkU7aovmS zmAHy5a+5!cVh^&qaNab3p^J8n2}!;2f0xZ%f*THL6|jkUPZjn}Mr&575% zc+HR3y79UbuY2)^6K~*uC*Bywn_hg@i_dv+P>+LQ+^omVwYb@gn?3TVMGon0E8f09 zl)#ijbW9GmP#9w}+LB1H5%;XPXCo6p+;iie2QqyS-^avRAH=;a%J58#>K)4bK#bv_ zzCe5=!f4>7%Sh|o6QC`Qds*C@gTyxO6>&e02Ua|=iAkt9Goq z#NLs6v36ozi*-HLjaaY6dOg+~vEGdJ*;t>8_4!!0V%k%tDAq}=(^${q(n>5hvAo0z5^F25^2Bx%+e_>qvGc^S630#)Cvn`wsU%K4aT1Z3CrzAL;;6(a64y;!FLC|E4H9=N zaodU8AunmSNLJe9E4?C;RX6cE#P4OR@sZ5f}lswTY zoOBYEH1Vy(w<+1C-%0!~aYg&!6CEV}DDlVSu;#PG=ZP;8UnYK(_(|gHq*_g?jifpR z6-rW_CRLf#t)$*e8dlPq)bbG}n{nM$&91 z%}&znCe2aO94F0b(qu?jo-}3BOpy}B+PI_%hT|(UVBk;U~Qk=9ey*L@Pi1&KHlcAds2cMS=E6FfO zhAkq)9*&aXn7r_YSu#|~uuMiB4vB$*D9=_r|wlj$UxG6V*| zM?ab7a3Y73DEuRnFiKblzB>uqO?EplKNCMUA04{{T8Xe>S4f1Lh?PWmiKsx;o{-`@ zfD$mFUgBUyNUJ^?I*gP=mv7JCc2#WI{l^tN&0)Jak&O`TclsMMLKu9LcM>UybLNnJm6tEn5Lu1eiJb&J$3(-jQx zt#s8+SL^BOX1Y2|SHpBQNh?lTsi&28TIr;fep(r%m0?<8X+@-!D6L?FH1)02Z>4@G z^}EEO4%S|OK)gZzIQ1u~KTUm>`aJbT>dVxRQa?`pEUi}4Y9p;q(yB6(|WHPW>_U3b&<^>m%3>v6iS(+xk}sHcIQ2DLOePYHj(^^OTmFi$Vk)25X+owQj? zoA})!0{G^T98Q}eZOXKnrrWi2yO~}@CgV=pnjoKX+LFlin|7SEx7Q2eFRO{JI03e;h#tfsP&${>|nP!gqb z8_Jqgwo}<5=6l&E{wH}UmE%-SQaMc}Po==TFr{gvN+k}9Y0_RQ%QRj~lTnJl%t|vm z&Ac=V(rlJyI-TiM`KhX<|@teG%wP;Omz+Ej#J%E zbq5KWh<#s!9C}DhRC=81Nvfyh1*}=Bd8$RKWvZi8$Ei+IU8H+kX)#QTQCf`CVv-gt zEks&GX=$aUotBlf^wYAMmKV}8%^t8a3m-SLyvzzRYdf>@%qp{oCYkMKwwKvKW^ZM- z$m~3`%gnJe$IYBt=F}+_v(wI;4&{$RS^yANJA=#_X3i*cc8Gw%nNXmQ6O!j0jN6W& zX|xk%PMSGc=FBojWsc5VD|4O9bu-t?Tt9QGnHyy8R_5lJTV$(twp!0tH?!5@F`dIh zS;fgJjjXbsRW>LKG!nNWw_&AA83{m}T^VH+M)vbclvU!aGRu4`^X<&{GryMk7bt5q z621BzN_B+{27W*D2bn+2{1FjFz&8+vcc}9*#rKoUPqS(@t2VOgh&UvwGONZ}b(YoK ztmb8PH>-PD!_69%tdVDdPx)h!J1dxE!IU%vL4K?xu(GC|HEUV3o;4d;vq{;ik%VUCP)nnt&!R8~3vDD4VpiNe?0J*#wbzel~3(3Ka2*Wa2<58im{-76Lz_jJ$_? zaK_D8cEjjD@v#y$T^BEGD^{iR%p;^yHy02N! zo%L2`z13OIn;mD*n)Rx)UNGxjK)R+`Z+q6eIO}z0y)Gi>W<5UZiCHh5^|Dz{&3ZY~ zRLpwiY=|g<@oY4mjTm@y5KWB;mRT6iLNOEWOn9*F!(u%X`3&!;89wPu1+%=IU2e>D zZKhi@-Ja>r3|ZiGZ>IY*J(z(sMNelsoax<}7BlF*bgV2(Sq~|zqAXuob!DAZ)&)wv zZnY`hD00UkEJE^3guS|ep$BI++NuOO!1no=Bt#mH#|rZcF}tVmfnCWbSqvNC1O zlr>imA(6YSY)9EE%J!7)D|=1Z0cCf$+sf`xdO9Q(vHL`KZ4Z?_QuZZf?Z;OEl{HlfRV7lDx$=GG&s7za+n%abRLxhlfOrdPxvG1r?yGuD z)i+f=ASQ!)t{R?d)Kp_bH3HSh)taZ)>T0c_*4EWpuGT%Z9;kJ$)^oMtsg0W2$knE& zHfw5gU2Sr;nX9v&I=i9HdFnhq=T+dTprV4h3K}X1kjq*HBNa?2suC8+0O{=m)oQC& zN42`D)l;ppYE3BM5-!hh6oRU<6{}XNTK81jQ!wys^=qb6S6KLHGJPgS3*ex&+J^)(pt!7{G~Bk-+*npq7;YKR}uq@oX4QKMBg z^3*7xY=p!#ir`UbSi#Jw)uoV3td~F`x2kr0wbKKaoEo<%!_0W3#vw>mKuV$}_z|gT z3xVQlI#tt9O;JQ>Yp%jR;=WYK$bX6~w7z03#YRLFgy2+!-H?ZUq*$ilAkHl~Rw^FC z<4uW{5*>J2P#zmF8H7GH#VaBu5+%@kd5R20NOS`;#t5`SN``RJBJ;0|luXgR zK?|&;R?$dBQ>dAa&B84ek5nA0q=yNQN=7QdZ>~~LrM^mQDy^%uuTq5(hDx={JoJnz z(`x3anNl;Yl%5pwvjIu~GsWXhnayn)_d&nqk$hNUZppb7%`G*z^0{?yZo6~an>)_j zapz8T?u_Toy}A2}x$Dl|>fF6I_pQ0_&i#vXpUr(a_vdpzpV#eqt21v~^LA_AZqM8E z`EkBpWW$|z@jIXQ)O>2qrw`4i_I&EkryVd9AoUO^Kj+gi;*ZJjK9%!nGM{Gi>3lvd z=F@v~md#l)7xw(vyK62wb0O!_p3D9`s?DRuJi?D+o~+KP2dU20`dn?I`R3~0eEz_E zZq4WReD2KWF3xg3uT#^~Up}ATo9FgCcjmb}&#Uu1nCJOCzc(+c^LrQP_tdkt@j==1!P9?AT4f%3V8mo!oVEcQtpt-1T!e$la~ny-3&4 z&2zWN-7;Ts^Oah@($80teDxLis-3U8`D#61ZRD##zPg>Sj`CHNug>$;d%5T4UY&A# zdU0NH@=86gO!5lLD?G1cc}3-ZEB8CO-_8Ag?hkT*NVKW`7nm3zyQ{)$&{Gy*4sqaIlfJa*7xZc!KsPk%`dpR9+E2qCQ-}Cc(uRt^B z_wMDTm6vW_uH>bMHF>G?vbgN{mmPK4nP2wu%hmjHkY8?Emz(nPc7C~4xjYFktIB0H zzdW~a?_ZwJwdHDSRa=3!a&5cXUe&gz?LgbPc5Lmq+F8*~MLWKBYTBu5XG1$J?XjI^^u^frjl?bhsq1HT{hY3!*Y!Zxm9A^uuyn)L4M#Uz-SBk7*NvKP)ODkw8*93;t{WS=v8fwp zb>p0FoY##&H@d{o1LqW&uo_ygIeM+8*Xnw$q1V>*+PYrb&}*A|?W|rqr`OKwbw{t) z^m<*dH}v|NUSHSi8+v_Huby3`ybo6FTZ`So@LvOC>&2_!Gp*J`6=2^XYPH&#qn{9p8(PwM=Y+avi=(B73 z?7BX?q0esWvuE|$bNcLgea_M6YWiGVpKIuIYx>-}KDVLIZR&Gp^|^EU+bNc*w-LiDc)~z;WSw{+7HVW zj;lMK?zAY8J93~QcMz!YK~xO>RB+dU9tnY=2xEfJ?{P|dQsH-U-O;*h>8`E2uI_r8 zl7&-3Yf92f`JR!02vo73nHa1EtH6s2zO7(>JR76w3^%!P^Tn{WgaP`2`gO)x{bwjD!ko5@s z${^cA#1$o9iI7l44=p{kk<#I!$1$4nleUE76&~XQNSyuJ%BkhqItluqzuEy zlI!6!QP9Bj@G-D-gWe@t9L!U>+9Vn0>JbxJhl-bgHRCUY(cmMLJJT80PBsb#ika4 z7EMh)sU6C?Odgy_HU-B@a*iZML-1xHRv7VZhz}!&LYS1XFVu&aRFzsfTDn@UXz6M4 zKnk>M!W%}*Hl^1?#wzmLfU^ZSddZQ3VvZ%^%-}!(4F~3A8U|NQrbk%p$iPPaXk@H* zbnNQb)5jJX9k1!QMVb2I5pgRbWI5g?hx8cAN=qlUPF$UM`dA4L)wWKWI%!c_KjeH! zMik!+*YzZaW>cq@PHmmKI$hPNr_-t?^;|=fiY?G-Q>QJR_KCX@A<^)OBV~|L_vlpX zwA7iUGaCvHovrH3(^*w#fzFzgKQN2*@eEdHxz4oCN<9lGso-p+XQ7^HtpcsuS_z#8 zT3cG%T02_1TCeKk4qa<3Z|mddlTs1tKBd#qBiw?ZD}oXvr}}&MQ2iU!lDxuow(@eqEi;#UeO&D z-LU9JNLX9+CPi;YH08P>rmSf%Tfu3NfZ>H4J`lTb& z>D#66mwvnSFO@zc=NdmL{i3YCqOAI5wN+LJWpzveG}XAQ7G+?S0V-;h7pmojc6ou7 zO{?6-2N5DtXlmll6AnFlu?zjk=*=8c1! zcPg(ry53l>O`odj31zg^l)@%qP=NA0`3%v*>1^MlvkIo#Jb5AM)Q?nqz9vJ*%>oy-#o zdFtjdcsiNS^?gfi`}BQ_f_}2_-@R?`Ueill(xuz>_TjA?x9?OQKE#u9aHn$Ru>;`Y z{8jsp?>|}L`QN^U|Ei<+|M5?sV0??pd~Dw*uG~dT2@bq?PqcJBjm)R6=+TwCcx0aJ zdq3VKJ-y6lWSz91UtZ>GuH78*=eTX3l=*bqqIk``*Z%vpt&w@3tmmq2k3LqWe!TH_ zQ_sil+_*l!vVVBBa`RRNkH_QJ4qoHmzWM0KbfhONp6vNNmU-OcRGxZ?ROl3ZT5&>2 z&uq55Ow^df9xX0+0hy27x^)MmfTgPTOeOJa0h!ls>_2)?xqJI6&2x_)U-DuuCiD8W zE9i6&mT1gp)$*kEyzgzXe{}oc${oIc=i06C@q@$b`%mCa@i7PeIK`8-?R_#aMZ1GL zcye&_?$N^1o;;a_WnMkpfAs3%t=mh=BdH6^Jh*!8PG$cN-lu5Yn@dSvT;|iS@1^7| zS5F$!PR)pRIk5}Z^U;Hw2Zwam-emiS`!|-kj~15s7$&^S2zv6CJ^sIh%)^5t{Rngk zi$0c5OI=vzaSu4zKYDe4X|c=6T>4Tj*S5#?q<1!6F-x}Y!u7m<>&pK1YhQGH=PoI9 zVVO5?-MRM2wJXo5Ow2+a#hrWf@cwhxw)9fDyMKLj6E8B--Yn6+3%BjvYfDIZ`q5nA zzP-MG_vVRJPR|zbx0Fs+Po&Z$E++rZYsnUK+P{;{k?wy$j^^y{otNLgCh+IJo`rty_n8PjflXEGhFe)m&KSOny(FILZk!^2yLrxm%V%%elPTaUYi zUFxbXCi9tzpuSBr!2>9aj`WpVx1YGZe*_KA$xdNG znUCCl&Y#c6_KzMrb=SAx^ZC?Gb8M=b-(NamvmQU9i?!|jQjX>rUZ3m&KGhi*TukQi zMDRK86RzEOw1Mw()qA?Oi`J8zqV!|8ZoT>xau<{dT_0YdkCHZZsY|)UJ#_z!VR@m8 z)f4VYkE8opUfdG(ya62zJTRVHnFlv+U~0YmrCg?-7{^~HFNhO(1U&s{{EZ)rUC$@y zWb>ze4(G=%0;JMir0$E!y!q(ish-RytGt-Z+xvGOJ9XE$;Ctovt)n|o5Md~Pbc)+| z!Frxr9<}bmGLMyDi`+4Pk z-@3l2tL8G#%2U@9x6o5=xQo|z*?L~P-FVL1_SWr#oBGOf7j@Zs-nxC~+6`l>TeLe` zRwj9#Eq*0Wci-NZfOf zi#GGZG9TYR^$2$vnR@>=CTFi*w0g_lw~y@~9xV0Fd|Ke*_wBJveGTDk%iKIh@Pci7 z=LyV_mTuJLWZr!kX5M}HzTLTYML*+-wpe$xSUrss21X{v3u8|499PKoZUM2Ul?ms~ z{i6k6rKgp7tVPxbHy%E?dgAHCX=PqN*gw39P>073$b;czEqrR3w;p|T(dp7@Wx~1I zD2z^4M|xaNE0bbC@4uWU@#{Xl%wrd(XP%xDRQI$pm$9+D_C>$Az_<_N=u_yTOxJg2 zL7A_;^LJohSxn|KE%{XKp20*=#(d~D%lZF|2=ZHCj!3qP4m*c%QIi}ctn=%G$B;`!K`J-ht!hu(35al(@}j#E2Q z8_|o%Jeps*3wNa(c!yp+;qdv{6ZFt0XKtV4U(3kEU3BLV5l~Crw2-=( zOz6g!Y|s0vx|qz@KJi8R(Zg$})V`fiCh5QYD@O|km)>8w`+lEHCe7gI5APpA`DM7W zj-KS-I65YHTJXv)FVpn*O9)+FCSrDI{`;KDJhmh)A@QWo%HMW9^|2Wp{KN}CrVF$! zTxl@;fx;{|@3uW*pKx5yWA)Qplrn&!OE+F$`w0d|(o+Q#cdbU^fi306TTF?J)nKz-iS!@n-dYMPZ z{r`z7XxjMiNapdN0Uqq2s`&WQ{|;o{efU*iR5*dGr*5UcGnot2^kg!RX*Mf2_OIMJ zs(^>hKYHw`b6y4)km*0Xzhr0kF(5Je5UW~%I6<1{2$D! z=K-Jk(we`I?i)I(lKij7m*l3rU8@cqC~#P_%GC3zpjm)8HT!T$)P zbY6dG@WVjb?vL@M{r&`BTK^G)|JmS24gRUYKQs8}2LA#`$N4K${%auJH_yYt z=y=aJ_z6JT?vsGD{!@V@_XP%DXz(+D_?&r>!515R36Qpbslm?%((yjetp9xA%TeA2 zel{=xej4y9@biIR2BdrVYk+i|uQla=2Bh=(W+1iG8-e(o`BsD9X7Jk${!4@3VenrW z{7!@41*GfrZ-6A{`^@t12OeK%Af4Awn&odb_%?$-W$>pBzTM!@0O>lv14zgDWwZQO z48F@Oe~&4@7f8?Q2h8%{G0Q&$r2G4$ru?TsI-lp^Wa;>y1f=7CvcXRSVv{p30OE7z zg$6$ZNbUAgAg%u_gP(2ia}0j2!G8e6=gj9De7RZvfI-XPgFw2jHjvI^#VlV1lDwKJ z*UkEMQ{FJRY4EJUa|X{F3=D1=ykM|taNFQTgReB$0#f@7OnGQyJ$N zt|>om@HGZsYw!t!Uu3WVlKd|=2jUzz29ZSemF(sT7f zTs)Hd=|JkYKNm>PmjlG-%qsqUI`9IJwrc`y;8h@Pe-lXC7iRrEAf4Bj14;htfwbK> znDRFQ>D~GLKzgUX9r!;1-vh+w%=__=_WMmBo%aWTB=>_re9nBxlz$gU?fHKIY5zY5 zQoHnm#+fpJRSj3y>6KD zEmM9RNXNYgBspIR#3`J4J&@#o9gyyqZvv9sZ#L`S2&DVwyMVOc_W?=HzXj5E{|-p! z_YSlCoj^L?yUqIdnC0&SlDvNpr1Sf2AdN}>97xyc^RN>g_hmpVI`g0@KLn)x93Y*) z4NYBNW07>3g7<@gDj`IfK7XW|6EdOyJ$^Qw1Zw1nM{0xw;!_Nb0zh5=$-vh+w z%&+4g9sdJBI*$(msh-cnNmBd007%DuA&}O8I*_)1iCO+qAl*+@;0u6FAhq8VNbUV7 zkmTMr_yiE2Ghc##bi6M$<<|r0eEzXn{!f6Phw}FVsU3dUtbYrTG)r1%3lSfdcOfk z*YTeN>3H7=r2W1PNay<|Al3f|&H5h#((!)Slz+tFn+^V`!5;(Cc5gBGlVnqd=HH3Xbbmbor1SnFAl2`6KsxT1 z0BO4~H|xK`tbaWapEGa3zvKHANZWst!EXW5@&1LuHyZp_gWm?E<9>%J|0{#v38dqE zx4}07X}f<7#OKTp;vXINhs^RHG37TK{81q7|Kq0o7K1-w@Fxwv)!^HJwEa(;^4ksm zjKQBZ_;Ut--rz47{6&NBF!)Ob-wC94dABLQ$KZPnz7I(4{OhLt8wP*V;BOiH0Fbu( z5Rk6x?*r+4|G=#OLxUeS_(x{_|7FU5Z16uB{1by80n%|kYVgm@@;^8D7eH$F|7zC% zwJHBMAf3-AptGX=|2~ke$0q`5`6rw5rx^THgP&&Be>#x%dy!fGVuLR+_?c$?XPNS6 z8~hv~ozLf)^5+|TnZcJEe88Y(@IiyGF!+$cF96bcIHv3xTrs$6&@)&u=o_pWtQo8u zY#3ZKxNdO6;HJT|2G1EhZ!iGTd0jBLZI)j&_)3E%EGLd1|ze6X3EOo97xweoARE)eS;4hykhVwkk0QBAjx~RS$^H%4TCog-ZFUG z;1?P^GI<()01fX8D%@N$!^!{0bnQ_g9(quQ&MB2EPVK$N9&m{7(#i zy}>sC>G~Z#Z6NL62a>#zDNjt9859O%Ak{+w={#~E9p|z^ZE(-5f7q0-7`zIkcDilK zUuf_UNXNTl%6APuZtyh*UkfDpr76G8;1>hw{J+eUzZ^)%`$|*(hX%jOEdOd#{u&_d z_jN#Yd1wB)S^kX%zX?dk`4)q3G|RsgNc;UugWqY^f45oxKLhDL`d+jA`_1xy3#9#i zz?6T`;13!6-wgh+!5=aBW`jQpr2XGw%0B_5^LwkopECG%gFg$T>+^G_{0l(3-tRQa zf7#%#7<`w(Up4q{gYPl;UW4y5_6Uwj^mi+D?pN41(Mu`S-)m*-Qb2*$`c?Re+s1MRGIP|NaNGj0O@>7Aj$nQAl2`yfppw|WR`!uDSrcy>hVS(9q)eu z(tZ8|X8jKVsa|h3?7K1-w@F#(^{ZAYGIUt?KFPZi41X4S^%aniB;JbnN zocSRB(e}Rwr22mtNb>#&NXPw8K&s!L0jWNJ0i^oG9}tL(tbZ}%5OL8-(kwX1f=WoZXj*pWoeLawl^9CTQcIMlFB>y{rbpGEBB)M+_(s92BNbT_bX8FGZ zQoVi#NZbDckoNy2ga0o}cL8L@xo%;2(81l^J-EBOySuwP1b2dl;7)K4?hxFaV8JCo zg1elx&VH*>d1`&X_TRmGHbc(6XQaoUlOBIw`aJ)VUiTjL`_!LFKL@YLpQZO3TEDFD z_%PD*ha-oVo+pO%{YXqbiS&L_NcT@oJ&p8vW~82(dKS!z*)TiikiL#wE zdcNi4RkW{`UVj65qx5=P$Xlhy@4(&C^X!%GcToDe57B;v_G8qKOZPiXJ|jKfdAuY& z-xa(jJ>Oq=9dF=G>HfFLf8!nLbsmr(;v?zxo=RWmztW$(x8zUK^L@c@((8Yh{(Obi zOVjr+y7cEKq4YXQrTZl#ry{2&rzdBSo<9?2mYyfC^gIQn-$ON|f8Ml|`ltqVm)>Vz z>3##HpPS)QTML>hJ@0hs_s{Rr@14z3{{$Vqwt_ zbLy?7??-3p{@tYa(;a(AUvEF@bp}u$h=ZhmevXx1e}>di1pO}cPtZ2~%k%G(-p3*7 z=jE96d-1%~KSB4XKbD^Fjr2KumhKlyH^bwDrS~60dcCC5=blIUyh}-suO_|U8dwYK zNMB!Fa((G_no)0#Eog5gz2ElI=hI2Le^2@U_YdtOq~{$eeO}|G_dAL9={QSzUvs4U z&z0`CQ2IJoO0Tnq_O;UUZKl2zcS!GRFYSL)KPtVyGt%>2m0sr>?Kh;?zeW8v`Hsw~ zdMthUaR1oS{o=~3vW)b;%FAkUjw~hbNZ*GS(&PS>KL5|;FVdgG82XU-{v?xrKC(*p z&nEr3Eg=1QDo?$F^m>)0&!;-|8q{l(>tJ2!{nn?w5%tE@n@ZoW4zzcsy$g25ZqoDg zAonEqCijs(_krX=I9U466SHJ8xkLIok4w*YQu=yNN&ORaNB{Eo-_O$5`AzzMh1Fl? z+Njd^J+}0?IMVaPlkT68dLrscq|Y}KIWxH+xiA)$p05}dmtLnVxt#RpwVL#ERF`@^ ztS`NfhSK|Jg3Ym&^!%-{jdcHZw0D%gpIvG1hTWylwGX+k^!x*)#}A@DnEFuiFdQyD z?`Y}knJ7JO677?5igdqUrLS);^?5j7`uvyEzD{~yo28%6gVOW2?2-{+v9d{z&@y387yy`MN_(Uq=LTWa;NOp7i<&q^~21^!iDuCzsw=dg>Xd zXOdnouk`vwq}M4fJ-&q0D>tEjJ* z-p3}HTwbJp2`@{JyDD?b$ogUCeZ-fpCzRf2B61Sx^)ph>L_M?2qIx6g>u)7}{+*@g z>o0vigQWfm`c?n(yfdWNnJK;Rxzgj8(!NZ3+zRP_tEjJ*dSrw4lMmoQ>3)Bb4@=K? zntTS&O5c}DlO^giEH|0sQZpQNAP$oflm=P1(s zqLX7_OzHJv(;iQzS1u;=%6_yDklx2o>H9xfdfq8G6{ksG-%RQIut@qjTTS~K>E~&; z^tyYc_jQ2wgXF__jQVkzQvIGwU-wI?k3vvb{V>s2rJ%Ud^QM*FS2|2Dy-r4QCUR!! zedds!FOT%~6_OrbSZax&I^??2KWAD?uh&PWlM85HD1E&v$*ZL2T_?THX6k=P?`Ny@ zd+$8;3)C->FH4{E1M)-Z=jnyiKS9A7Y?DjxH-+?j@+ax@%qqQ3cFZY#efg#P7m(gx z5pq#-N$Kaip7iIfwbY{&G+6q)r%TT>Tl&4ZM(V3h&_3z=d|Z0|6L?a3AE%|)J1=v{ z(1`;5!eChGeTOGUkp4VGmtHTf^gQvU_mzfvCh7Z7Q+nN6(&t^D+yEP5Bk6ftl3QVG z>G|7ApJNZ{{q~`~FYW!M_c@6AVCm;#g7kZNzw|r@X+I?WT%01Gru{6Qr+z{D{$3~F zz?;(Z|0DhUN7hSUugsuSvW*-sef^uI&wr2fIqa3*$A0nw>2oEEo%Ya#F&yG2z$LEsXPhRQ%g=sHJdoe6dy(GDm^uDW-t4WWqL%lim7Si*# z#&**C>>zz^)1~+EtJEzD+C<(g{W(1@J^qyRIh>Ooe?fZOMZAQU@rrc6YtrLykZ;j` z8~?^T(*5pBk9#Qneta*z?q}*>rPuw2-|+_qB@2uXDSaN{Fbef(((}b4$B~{dE;&9X zlQ`Z-7^-7mfL{xXs?N%zZ&IjQHu+?YrDeNkBYI*VaR>G>;3&s#Q8) zenV`8jiu*nMs6HcS=`<*49 zm)_@P@>S{fYxtM+_?yz>Z%eoTjd!HSKOjGpeqa74eShCekNYS+?h}5Nu74$e!|(V* zdVJXAf%zjykB^9vFfvAw-bW1S{l=yq2jfbw7oVH}6JjDvj7elh^)E**FFn4Z)IUL; z^sjhwB=ynK?~A3<@5MFJ`&cji-0i}n(x1cA((kKl(*1785b~z17ES zQkJ4#8p~i=EQjT>0#=kBUzuD5t70{*F5Rytxfa%zeor(YH@NMe=q*FZemGDjQJyV*{}xG~<6`OOa|L-Nu9BftUn{-- zdg>c+BW}XY_=gOo{@bMQ=P~K$;)3)%mt-h;ReJqv)UT6o;7z=RxAAYhgLmi@_n${(fA^PBYNGrS%y=P1(8XniMgrg!MvD{_5xUldSNVrMX{I+t$9n4OJf- zuPs9>*O%UBL+R(GIrY}qp7xI9uF~h%joeH6`{`uqd8XoYoFRQb=8)$}kDo8SuSMj= zxPaYx8U@faS*6L=C&;c4l0 z&*FK!Nc$z}^ZAeZE9$TD4ZfA3)$b$u6Mn`o(&zP^`~!nh2hKADhQv_P`wBx2i^0^x zlOte68Cw0L(jJ|9400^#>&PO#kL=WQlJk)BN#Ec6)C-XdV-YNh#iZveDZSs)SQg7m z&sPB}Qm;&|B0au3xrX$0)RAFiL+XvNF*d=b*i3q!mgH908rxu7>3z1xj@Vgxd^d6r z>?OUQe&hkt*E5hjnEW$&D0vtT#}POZN8xB3gJY%lF@Zc$dcTv%lW_|5Y2@kT8Pelt zQJ;--aIW-x^T`WvAuhtjxJ0`DGU;h`6a%>*Z2nC;yZjVJ^my46Mm-tmHZ9A;}7)z$jZ-q z2n;FxJte&Kyb-BK!pJhL>M^C;V^fcVajC~ACy-&(FDW^h^tq3On|vrG5ONzR42rRUE_&QC5xE{sL6sPsI=u_X0USQ^V3OPPHR{!| z2G+z{SX+9&deY+?P;ZEhurW5lrr1n+TnlnbY=y0{4YtL0(&IXiJ7Op5UC3R@-N`+$ zC-%bL()0Bt_rw0w2jXDrKa+=&hv9G>fg^Dgj+S0$EO{Jx0(qkJb261YjXaY)3ujBu zGnYIM=i>rgh>N7(FUzFIEvLQ$SK=z^`?*$nADg86{~`Uk+9myY+b!L1AN3>B^Piyo zB%YFCRlh*KC_U~9`Kt8y#=psTq}RJA-R~joFQoVLT6!O!r1$Yzdfo5jAJX#$rwxpc zAU$6s>Hd+)QOVJy{~VfD`uFYyWms8Udc88z3t3&50=5oBc<0HPkn;)x>Ka*n})yAJ_CQlnK%n)ORqnVJRcX}LR^H4rTZ@< z|BlP0*I!9qg{yH5u9Y6YfxHnn;b!T1wve~tHr!78PU(5}P~R(ql@Cjw_gU)aq|fn^ z^nJc5J^yX#b9_Mi6X`#ny`ue%^!)G1AEochC+T@Yqzkl%mad19UMIZt{1M4frRRwu zJ%2*!{)wn3#S}7*>UpK-DJb2q5V@H2JSAnYtRR!ij?(=)Nw3?5+!ecFcj@uHq@S1m zE9o{qW)TXe;>#n@e_WQ9v3EkV83B8So%65 zNbf%iIXdkzsK>zsv?rFHFP-%Dr>CAtdY-J9Q~Ek`OZP8EE`g<_$CsAgM>*;1s4RUx zwWP<_p}oHJ@7LOsJ4vtCO}bwX>?Ok~50ajLu=M$lAdkdR((8?vo@bKu{0pS#TSR@C z^!`>*UnT#4-=){tO#43L&Gub+^5BI$LKk&{dBBaQUD>7~czmOhWX($`Ux zTwHqo5?B&TNndvb>Gi5huTz`$I#^fw_n2*@=Wi$7zpM26J*4OFiM_Bl_K_afkKA8+ z-67D&r?f! z-*u?hrQT5bdYedp&*?4w-&IVK-rr>DbDb;w{4bIb$UcbEb_)4@_roAe;n*9I$AlH`O zUnA-Hn@EpuPHstVLvAO%ulCr1_Ri!k()0I_zRteX`(c0S`3K<;>O-a1A5I>DBc=O~ zp?w@qke+{v^nRvFuRDYGnbPCtkmpJFn~w{qFCs6-CAbuq;qNlM#;=z?=WWva-9h_K z+(ms4c`xq6{dhone}9q>;}JZH$E4Refv2dS#xr;p&*6EzAU*yP`7-$`{zd&d-k^R< zM%1_`=0i!Z6aBEKQOCBG+sz>oNe_Ak=+?+5jup91$Qg!KMHkwcTil7lgv z^m#@kN0R<~n#3}aOfU6MP;LFo&p{pOzc=b7J+80x^E617k$=im@`?2OC`9JKeGf1F z-!mnW{@kRL9-l_))euxodcQTKe||QXUay6WBD>+w(&L6nzsIIZkDD&N--XiWu~a6P zhpC^JUiX^RSBjtzSpxHilzuNolEq{t>A&A>C)>z#(tpqUMEd7gn5=<$B1x|sMf&}l znw(Z9Q!XRDpBl2DoFwzhl4Li&8}OaJ!=->83=KBwr}0@s~X`g&4Iua_FrQqL%( zsGd)H-?gOAbBOdg4VPYTg!J`~m)_TJ((}%dk>v{M>whZ!d3`Ot-dpMM@1*;GB7c^- zl(S?HTyGWWepO{|IZApzi>WV>{&Uj~@=ob<|5H|%ar7UrdHw{_>!+07ZwBdkGfMC0 zC+RHGGO{7CwKeU*N`BB;^x zN0h#h;MDrQi20rN_0x)>4mn&!0~((`SSZr>u4%1bh> z{33mSV&n;Y{!>UlC+VffWt5&Llk_CaCF8BOMwDP<#BOwN~{f0Ok2?~?wUUy^?Qu1W9nI^LB2oP4DHtMq-1 zlP}OOo~*6hncP*zRUSiLmqz;Y+gHYyQ>6DX6{ksG@2}(;_#4iYzAx*f zjy~w2^z}TEK9|r11M`K!u(E{e<)rU>Rq5;NE4@yC>F0Hfj4kKML~@5rC2vW;AHx+2 zjE^e)Ue6@`oK=vXr;_w_RF)p!UiyCakbYkdp?#=y|Ka2j()%Bc<7l5i`$X!KWlZ&3 zLi;iqPkE2@b^R%0$SczOxGMep+>l=H7WLcG@2C6Z2l!C>Is7Eu{|oi6();^C_RGoR z!${8`UV6O<(&Hjw6zWkin)Ey|$+4vS$H92CC!{?QCZ?W@oE%d~{U`{kNv?&pv5xfo z^~m+H0XCGrj%MWM(*0XvYwB&Vt@QpokUL8E?~GlsJMBHNC-%bL*a!PcpW{FrLVYL> zlU`>8c_fa)(KtqWo(a)pls((61TKf!;b_xTK;;|u&3|HGHk^S&m(!MFI1_7CKb z_z6Gb7yOFf@H_rM|B&$hLSRS?g`qJFhQ(kEhv6{-M#M-MS^B=jz_`-a86Oj3V(I-P z!KBjXnu45C`uRvpPAC1o&MQ4%e%cFTap~_n6{Y8`B;BtHxhhtpUPF4l+SKbvzn2=* z-c!`1nUT2f^zW<3w}8f5#uv`wCGsa6KWV zb7<*(g(FA6NYd9G8KX$=H##|n^!-YNX{6W9Bt7mY>Hb;C*)TiikX|>B^gi-QkIRn* zq`%jcAeWTxUsn45)ROLB8|z5_{A((`kJi%jww3PJPP)B2xd--??$?{#2m4|_?2iMa z=N~G)pOMn@kCL8$lJs>?#b0rzbpN^1*R@o--*V~s)=KYVy>xw(^v~N9()Cl)>zu|j zcvgD+W$EYlCi$N9JP)PEJ;KM*^?%6E@HxJaZhuLBB@-w|EEbq2lJt5pr1uqzoPhR( zm`M6MQ%UzrLp?2~lU^sI^toig9JJ@eT+-w7U_R+_1*OLoC6|ys|B5n%tR&rD4Qo-a zjdi5wsgI4M*J&bsj;&<~*+%+v){)#vx?dOR`Flvu)0_4_*cba@e;j}Vagg+UKa+>x zP#lKCaRiRUQ8*gMNY6J8CrIya677?53Qnc{SMm(}4QEQvH(Pq1dDQ1qUr2ok^`+E* z#}(99;wtHR){@sr&%c4Z5jWvx`~$b(R@^2%eg}D{^!N31(tj?vA*0D>_(l4D1{Dw7 z-w@K{LrL!|EcIXvhv6}T^z$E$99@P~j!BLsJx^S6JQ-3s0XZQiqMk(hc}p!b$!ap8 z>?r-`!$H#T+0oL^_hcDYE|(s+PWpYgOM2bC(tkcWK|U=*DxZ~pUN6cJ@)G$P`7i15 zH_5kXze~O+L#q7&`5`{S$M^)F;y=>o^-_BNH~3zLRQ@Ra=ZuIY0zYpPOW&Uq()&y) zlgSeD|DSK^ag}MWLav52uomsLrRQrvy%F`s*aVx>-kjV5TVgA0jcu?kwv(Z>PDknU z?<;-Y1EsHH5DvzlaR?5@VbbG9kw@bg>FXXx9xr`elVvD5jrw%_Rl5Ig((}zB&y)Uq zY$k7!-rrX8cJdC~iMwz&?!mpd5BK8%Jcx(zPdqHW{}bes()&G4J|n&F3*?J<2`}Rn zyo%TGFBwYXZ%RLZ_s9>WulEr?#wYkxdLPfo&+!HI|Hv=NukkJQclaJZ;79y~pQYFN zO8$o5sRxw|>@x(0#84O-!(dnp#&8%OBS^0oi5yvmR*p`NfiW=_#>O}pS9+fK6&9FJPkluf5 zavSOX?a1x119rqt*crQESLyNH$vvd?)?;#PFp9-;1Kj zFv_vXiO9*NuPcT0ep8dvNY9s!oSybf)H6%(BRlOmFem1c9-oJtS9<;e)C-Y|l8a+W zEG@mSGURet0V_$*S5^9cHj&;>3))*rk8e$GOKvCq{jmqRr}VhK(%&C{mg(gR>G@Yn zKSu|o=Q}8UU4PPklzg0gihPEAUV7XGyoi_ZGG4)}((7I)-yq+XUiXgleS9c=-EXDm ze<%IDK1`WFzhLQkB1pGK#7G!f`nsb_&l^*^e;nH5VmyqG2{0ih!o)II<5Nlho+vl< zJkrl;5g9B?Q!gXEZaJ)gm1wUly`O5**IQfqd2Ua82kG&h$epo^^tkTi9@rCmNssFz z{hk~m-G4ZaqJ50?`Am>LzlpR@CQp%`XBv4rc?S76oQbn&pF^HYo-e)5V(EP>qy2Z< zSCCiIzJ|P(_Vv^^k^jK0xE*&&U&k)ojeBq}?vvifLFs)RAs;87mY(Mfo~8W)`66Dz z%hKm`75|c+|0eCX@HYO9ccjPNBj1&j`}C*dB0NshTrjr^n4-82KFCP zI)}!v)Pu?4rPqs0j!Jtpatv}zj72>TIW9RqCZwJS6H`x$$uT9SmR>(SIV1igeg2s- z3udJ~J2?mD#9Wvg^GIKRKIwBSNWBpCBIKgd`zT2+g{85K^gQLr<*@=*#7bBht6){E zCOuCLtc7)?_g7!~x*Je$L~e{tr1#l^+!9-1YixsUrPpgu?jXHRXL1*EcXAKxiM_D5 zjG}QP$Rlx-^!#JUV{sgg#|bzQf5AyO8K+3kH;p_Uf5jQn`=2Grw4b7W z8qeTaJSYAA_!;>*Ik;S4{_xVjhlnlx9L14gWg>E7OoB;iPc6NVbkx&h2I+lg!pxYJ z_H39Pb6`%)g}J5Y&nG=!0disK^DZvE-xAV42g^$LD~}bW$5)ZzWnJlU4Y8^8_-5D~ zTVP9Ug{`p-w#9bXUV8q{(&yKcdN1ky^(POI{=WT-^tsQL{@%4zdcVtYmGu5r;~MGf zTZbE{Z^TX1{~&L{t+)-h;||=3yQJsegZrrOm;U~APWt*TNng)j%0!|(V5gUScKR|R7f>Gh*Z|MwKBq^~1A zW~Mz0X2opM*O!Bw6LVp1%!7F`ALhpb((@FOzMi7gi(zrvOVVD3dRggxRw7r%D$?^+ zBUi^7SQBeuZR!4X$@Q>4HjrMYsdT^Q)LW2Sky~RM>g~wwu>*F*PS{y`-mcQmQBUb} z=tFy7?1%kv01m`KI2eDHo_8pDnDpmw40){d@As!mulF0ymL4}(`ni~g^Kk(##6`Fm zm*7%dCOzMB@(Nsut8lgS{x(YY-z>eat++#aKRc!W9CKXy@AvLfzlZnn0Y1b>_!yty zQ~XDI-RI;N_%HrP`zw4y{Vl%3_xJ%nO3(XQ`g*=m|BgQ}s6ycSLSRS?g`qJFhLxT- z967x7^AlM{ka4NU!}yp06JjDvEInURaxzSgDKI6b!qn2^(vs6jUuQ;gCj5zdR&qAX zjyW(V=8~Q_4>>R9!~9qP3rhdoC`&FUJ-!0DB38o6SOu$MHLQ*`uqM`${_{k0>G@ky zZ$)lHZj0@t&!Z#lovC-huGo$C9^{_b3wvW9?2G-dKMs)oea<@adfb2;aT9Kqe!p!e z@4%h73wPrl>CfpQ@}GEE`aF(GU+)R(C-D^RXUJ#q9G;gRcZqx%ui#bb@68XT&;K>` zH`34j2kG&jseh5)&o}%*J*Xm|GYpBLFtqfzu;gG2Cw)$l$x$#WMw1>FgB%lMQIA88 zDG`r!&qmHc&WX7&H|=>bKlK9A`z|W|-mF5ss`Po)kY1-2 z)}g&F)}!748&PkJO{A}*1-Yg4e67iCu&wlZ9mpNA6ZNjrA0wsvkET9``grmLoG9II5_vLC!Kt)Qm!9`G@+=uic^Ph${`s{@ zhLbzVyKpz|!M(T-_u~OPh=-*2cNmXSKSn-5K8dIBG@ik;cuso03*?J<2`}Rn>3-Lw zulok|n|KRvU*ao#jc@QRzQgzUL3*A~ zRk0dYm!7{Cxi;3px>yhEV*_l6jj*xw&x3X{ zyzEZBhxBvQhujzYVSgNe196b_xS`}>(&svYJW_i9W5{E19QBFhU!>ntGo2Nk^jWQ z)Q^&n;c@A8PLWT`VC75F`?)SX-%Z+Y;ce-kr}xPZr29R>C-{%__53S+9sl7=d?mg9 zTj}xd@gwb@@H2kFulNnW;}7)zc**O9z>pY9dYv%juox`8j|k+5()}V+k4BC`draza zq^~al^@NxR6JrwT`ID1VNY9^&oEp<$TH4c-Gf0pBiJTd;U{=hA*`@cDTY83Jeb{~U=Xy>2Yp zW0T|4o`iZ*Ooqv&=Se9&Pdai2%q0Ce_z5#(7R-v-FgxauK9Ahe^XH|W5A#zmD7|hm z>F+NUsaKX>w+dFJUY%S6Yho?h>yYbWJ*k5NJu%6#FgEqL7+-q+M6@Ty zB$$-;6y%hc3R7bmOpEC-z4SgZk~85?m>IKRR?LRkF$d<9o-a2!59Y;u($`Z^x?f=| zN_#OZjwP@pmXaP7)R4Xa}ftckU-HrBzqSP$z<@2erX5jMsq zv^OI+mwpeoA-BbL*d9AzN9=^1u?u#^ZrB}rU{CCYy|EAWmEM1U@&Fu2eJ~E8K2-WX zj-Wn@`e^c4@;DqXeZ7;(Q>53MCOyv#>c8PkoQ1P-j`X;B*1(!r3u|K?tc&%qzV!YZ zk{e-TY=TX(88*ij*b-YwpHDmKc{@<=h@G%A?On;;usijh*qeGE?2G+qAAp0X50+kk z81)f2iuTbs2FKz!>HSW?U#L&Q$v6e4O81{Gz1~dfvv4-fk?uE-JRcX}LfRLTm*7(B zzmu2a3S5b+a5b*MwYUz~OYdVNc@y~$@)q1meLHyv?!;ZV8~5N|>F4wS`JnW<9Fbo4 z81>_Lg8C`)X*`2x@f@DV3wRMP;bpvnSMeJDh1c;0-o#sYTYA5D$anD`^#|mK4@PlSmv2_}_(K2nlXN$)ESIW4B6o`IYZGvQCP zXTfaLvtthGxiF9PdF3Y;ls>OQSQv|7Q7k6CzY^q<()%wfT>!DiH(V+(AFt*|w=!M4~A+hYgpD7}7Xau;$pa(C<@z2Dx_ zzjq%*eK7uvL!{>$MjnnMa3t-c$z#al$m4MWPLy7EGIoAx*u7vo`k zOn?b7k@S2?$Vo97CdU+*5>sJn>G5gF=`cNJz>Jtlx_@Tr&r3Gy*{SCw=fd2W2lHY+ z%#Q`IAQr;HSOkk=F)S{mq=6{}%&>G^7sYhi7ygLSbU*2f0Y z=hB$m1e;q9kCAPxW()(yjZinr$gY=&lx{|v|zc2erkL!;EX&;1x@n;-@L#4+J zCy&69I0{GO7#u5oy%We2rRSMMo{Up)Do&H`_bYh@{ziQkc{a|$xi}B!;{sfWi*PY6 z!KKpc{!U(wD{v*Q!qvD2*Gi9HPu_qVaT9LFKX40f#ck5(wv)UIcT3N|m%NXBfP9er zC;2e>DESy3#}jxGPvL1igJnchr00nx{ke}%PDpzqOf0>>WaQ+S0#i!QlN!@fPlxF- z17^fb_!DN9o+m3g8)nBGm=kkJ_s@g*sOQH5SdjL@0w3j89!}3@GD`F+A zj8(8IR>SI818Yj}w>G&B*2Q{Q9~)ppY=n)m2{x6Uw>h~5w!~K08rw+!y+~K--yi)< zeFzT4VK`iR{*gFZ`gxf^`$YT&CrS68LY_*VPW}~VNdNca3#Fg0CDfPVGU_YHE2ZaM zO%Tl(m&5WO7H(0_3zUCgK7mne<7rEC~|0WSaPuZ|MxI* zBP7z1NUuN#jXU-~&rD!pEE>M1ZKrlLI!Ij!_OnaDq3X6bpdlCw$ApNE_m z^GWZ&5Vf+x*C5x#T38$FU|p;yz5hn! z#@Ga#O7E{Zwxr$)TVosP`_`V^0Xs^M?@W6)>fNQ!voE=y^nDmCJ(>^!M~p zI2y;`SR5yPJ-HVyd zo^LJnb+{fk;6~geJ?;Lwt-+Y5zz1{{BaPiLdZAzQMQB`+86QfFJP_e#S5O6~Ezk{DJ;I z+U)BJAw7R6a%c=Az0U~J=NDP}IgLqsEa~%!Cp|ua^tq*y9+zHv{tUEdlAb3E^{ki; zvttg-iMgcb&m;YwElj-#xiq2qjDZjT+XBX*J=-&K0v?$mo=Pwa)gv5$2Be&qh-f#g9r7=M<2&PPjM z-+1Zq6Q$RmOrA>q6=zD{$62(`p+29ykoHBm7?()juT|2&ci19h$>Y+`$we7i-oY2r z-yhz~NHS!d!2kWbn9}=;BfXEf(&Lj$&zp&yTY7vE8CTYpzP`HDn@Rt75nZI`A0T7O zU!C)#iQ~v*YaW>A8o^Kv5puP|n;bQ6its$?)b+}&odNz?aOV7JS`n-0_81jtt z^K%ieN%y-hJ^mKnk>2+M>3u(xzMf~&^SzcnmoL)&e#mGtYTZDNDczokoJ@M%)Y9vv zm7X^prl+0}f0Eu$R_Xb3lJm&_e_o~MDJnfrF)WTHXfH)BO)g6=Cp~{ftU|r2^!#vv?riDx7D=zSRJz|X{2iC$3h92UrRVvB z`WD=Z+obosL;BoKQa>d<{w(<%o|o=_k$g#d{#)eR__uVwyX1T12l$BkWAan-Kho>I zkUpPR()Z&%?H{D){e)krf0aJJko5!S5(-0O7z~TS()}Y#&leS=V@!-K|Ns0*pLYUG zD1ARtNRLlNJvFAmw3tr%x-v@7mj!c3kIyANe{OPK>HY<%7bF)U7nOd0R3%r#>R3a1 z-db3PdR=mT>G>PUII;)zUeeF)5b6C4mEP}2+DA*@j|t>or29?6$v6e4N}uyg>2dR@ z&&LJ0P$u12md zy`S3D>q`IJ>>z#J-Lao^zd_RL4xv7pJWhJO@zU!}l-}12>c2^kn~n3R&&LJQ=ed-; zOuGLHnOEMC-p^y{e$S=X`B(b9-%79djrtGi?*S1T2Ih$(z5f`}-;)xMlSt2-TKf6S zNq>vl+LGHz_v4qyCpnr2I~LUmx(3bibfRfqF>k^NT1we_BDR~+GF1_9gTqXVUbBFZ4_fbC}z3xHjeH|em zrTw_{x~Hh0CZ8jp#|zTquSlSUR@rU&HtVoRmA6-%F##sTMAG|6Moun0UrOoq(~~pO zo{5~9oCUK|&yG2%=fd2W2lHY+%rCueL2@B1j76}h^nOc9pIaH}aph<)j}@p_B3C9? z#p={+U`^_^$#t+U*2DVP02^W>Y>Z8?DK^9A*aBN(D{PHzu&wmGk%I_u@X>j|cD|9+Dn+n0y3}N?-2@@<}{}r|}G)m7eE3`2t>~ep&kG!%gySyd(YI zc_ICC@uPIVAJXfGY!di68bkW$S3>EZ?yhEOJ9E*>Hh7gx5p0H5j$aL z>>_>L-N`+$r}TWi$$g~z^(POI-q+9a|G!s~?mrgCOMefVB|UDgbibw2*S%8u_avL8 z$8C}RK6XI*+z--ziuN$N%_z^$h zXZ#{P-#7Ai{DDDD1M`HykQfR>V;BsJ!5B_@{s_|N5KDSru`!NxdpvS{On?b75hlhY zm=u#?a!i3KF%_o9G?*6CVS4Fv%tZc)oRyqS`hMh+KIi<>*Hb|HItpPC>3UHthQ+1F zm67gWPP$)ttbi4z_fdshRl0w5>G5@>$JLd7-kM7HZy{Z8Dc!%d^yj=IxwCY87wk&C zJGqDS{C%nSmmWVvrjkpge~+|X>Yt!^%>vJ9Qt9vI*`(LaAydn`GK8!ry}yRipO^O3 zJ77obgq^XAjIaJ<$YW(?<*VdtvY2xG=7D`Dk^0qNP%jxm_LhEM4kZth-p5E;UY?b{ z-b>Qgd0hs}yE3bc-XhQ*N4hHhVkekB~VUgnhdsXvf4l=HL<+~*?F2)qjpVM{ed2ULd^JD3CpHTmY{0yJt3+Z`ZN{@d{ z{SEmY`MvbKAzB6I4T+&Jv<$8GaMI_Qh@4D%-V`#f%qP9C{InM)7r~;`OOi`T@2@Pm zob-8AlilSZ>G=;!pZ`he{%7#K^u8`juX~01U(%nGXXJmS$G?^C_YU7n&;L<+p0Cuu z;dlIjL9GM#BUpN#a2Q^uQvON$b5}t6^D$NWT<6IYa-a0`d0hHBPT^U+Aia+(((_-% zYxoylm)`eH8Ajfveoy97j@u^i9Hx_=Cp~76!OGdl*`?>nNzNsMl?zJ${46WI@AlHq z^#JMl2FjRnlJxb>mi}}5dh$-`>)0!Ood;xCc@$4ekG~^5-(6W!rfwUk=aueXSo(P= zEz8MC($_m(c9J351@<3Gdc9!j?=P{W?|&NUeHD;8nxIA0H_KwmZ>6s*O#8t2@Y3fI zQF@(d())`}du&-+xq)=QM$*^URC>RyrT5WZ2Fq@=_msYlfztC0l73FclPAzVU3$LX zWF~n?dcLD_ysX|K@cpy7^#0mN_irzKzk173a+k~?A4>1@vGhF8r1$Ygy8jR9`w*jJ z;P(s3rLQBc^gh!`_s@!XrO&GzxtjF+HKg}ZTY6s&q{laup07FWt)zdC(Nl((gJcf5 zLFy3*imRI%PiB!GpH=$j&|v9xhDe{=FVf?GlkPWDrj`4sAESO;7E(QIXFUrtlZ-6$ zNuNg{nNGHn$>d1s`9{$`jyxVGNMFxX@-!JydA{^~i>3FqT1JxFq|alw^t^k>2c^&J zu=MBkGwolff0usG#^|E&8nT!4IzyzN>#5S`F!s)4Aick>()-ydlgk^@`+6X~ z?qlixPh=GNp8P?2+!y>Iz5mc%1LK0F$Ay#SWp(NHI@0GmNM@7kWKWr*TcCeRsXsym z4V5Y666xR9?~vZtLFv!SahXIuCjTqFpVu<8Or{?Swz8}sXG!m8w)A<-mEO-HnM@v_ zeh3dszYnfUKiBtU1o>S0etjf|>=8Kc$kOK(P5QY>EWKV5>3ye_(Pdug`%puAAGM_K zLj&pl4P|w?j=Wy_`_?g;R6dqjWE>ru`^S}@C%*LcCzjqvGTB$ol$GTp>2;nTYu(L-XlHVA=yHv>7%vf9O?ZnmY#p9^f~X7?tfT% z{j0L9Osd04B}+)JUsC!U%E{ESv-CV&rO&B{biba|dz1S}e_z`mqsjf$4@jTmEty-! z>=zgx3uDXps%MtPWmoC-x=TM_gQcIlQPS&HSQSKIfUV&!Rq8dY<{z7mydx zz7&_!zCtEe|HIUeNsm7v{XCtKUjMB0`CgIU#|`Ozw`jjjzC*r?_oV0lL3@b)f%!sW zC=4y*s9yr&()*}Lt|Gmkn$r8MMSDZ({WX>z*Npb&*g~dJeXMl9 z@i-ADNk1=(q~~3XOQi41YU$@{qxAfL(7uJdoxFp*TY8CG{Tl#tXNBX*6OZR_^@1;MdK?4Hk5JI{=l=OWH zmL3z-QcK^bOfse{BE3!p>7P%v$<3wDw}te)t;nsh4YtL0*j~m`|H1PApA+fv zV`v|X<8ZumziHCfKTEp*9NOpNJn9RiKVK`TucW@3yoS6EH&EY5-Yk7zw@aV%F5D}9 zZU^y*^gfPB_dhLt9%rbZ!wb^;z9xNs_oe$iz=!w84q!{_)yy5E1&>%XP` z4&UPk{D`0MvrMINNd^YSr2Y<)^~m+H0XD=&((^Wv-bV}SEwL50#x~d%+hKd`fE}?DcE&E)6}w?~?14S8 z7xuCb`I2EVibo>=( z;BPn+XW?v|gL82n&c_9~5EtQMTq6Da{Z3wvD{!UsbFrGd2G>fT!$#afeJgIm?X>Tf zh1LJF^!L8tL4oHpob)`AWPF)gdOzu;zenemC1gM8@2ShBpX(L4QvQE`_qM>{k|A1{r(s!)5~?z^K6tEeWb??l>YO|MCtl3()DRFiQFi?-froi>&K*j9^aHv z9Z(&LxP5OSIHb?%U!Z=dva9+mEQLi$|K z%MkK{^nNZ$_rFfQDMKjV!rRj0?~?CHk9$CVh>!3wK9OGkrS$#yB9qHR!vgasmYz46 z^!22c*<@`QQr49rWIe2p4W!SZ3ArgYlfI5NGNf!ry*+loj?&LXU+H}fmtKDi?PGBq zj+Y_TK9T$jPQuADq}r#Fr{Q$!Go-I`mh^jN4ee`j9j=!l)xJ^sK5duY*B)q;s(JbC6EDUuNn3WuZMAIXmW{o{O9t^T<#dmtXq2i%8F3OnScJYb(6?N07NdoOZt+WV6S z;6Um943@s$;pCCh?~Q5XU-35?O7+>&=P^fm-38=@xCj^H5?qSQWGIbWL0&2SKHEXw ziMwz&?!mp%``%AJfCptL)en=8;88q=$MFQ7#8Y@0&)``+C%x_k@lMPn((m0;GL$SUQ_2p~{X0pY$4KdU=17m9EB*6ih4lB59n$+b zB*VyK(%-Z1%0e>9=)lj#G_tAkDCv1dORqDQJWi%n-bmhro2A!3PCkJrrSJPC87yze zEHc8F!2aS$uM=1L`(SqI_eN1!N{*BsH$l4JMCqT8Go`O%p7eRIqJ6b2uKYrJ-~Um6 zDc%2_Y$j`u4a`?Zx?er%?`eIg_r-qF=RQ#Sc^e{=%SF_eO7CyA^gL^&zwaE7-sdUm zXQanpkiL$K($^PnTp-7nZcj{3f=Q+4$w1C1-7kyuITeyVx4N{~liqJbawBXk!>Zm= zdVE{#h+Sm_)%#0d&rs=o4wHUG|_Z|K6*jj4NA6k8dd>$}Z%t()V|e^uC8m&o^B9I!DQja-+;3Z%DV_l5W2v zz20N$Pv!sjDO0K*c|ssZ!Kku>>iuPIxk2WYPh=VyWn$nQV@coVbkgf(ke)XqX2PGO zKmSdn`!%E9T>5%iOYgHC?Hy!ghO%|64CI_yoqV)Jm($`UyTn(#J zuO)rG^~eorZ-k9yM76h*KBo@S&sz_2FYF_|PJikCBjx{CxXXB}s_yOM96~|58&1&O z4bmafEscQE-6`E&(kap{r-< z{1McBJB_M;7HeSGlpu~kJ%?PF0869JuMDQbrl|e3z&P01?OiZ}c$(wsc7~m4XQB2p zA9W5JF+LtZea^0;>R(5#?*?YaSW|=NpA9u{5!AYh+G4gi>KsZrE{&>F)^Ryo-ua5C z`6@fEf*M}~Rlg?cyc#&)*l|m@w?d8o*0yuLz3pH-+D^7JYM$<>_4RbVm*YN;``UiC zza4-v7&ihn|7g@bn&5acYW-83pXvN;#|s=UMy=xqRR879uXKK`;|-|iwiUJB?QY-Y zc#qwOsGQNI^nI{ylFAEQnS>PEAlpz;Y(>q+c<5>(yf z&Zk5@zi`y&tq^K`g`F?yxD@L1TnTlKRZ*X_#;AGPqRzV;=DI}s=pew zuC;c(^BWv*Le={jwY~%R@&2Rcy=z~ieh0;$9`sLvnkNnFd$llXz9P<-Kz%;GM6J64 z>OIub`L39bcm`_ROt&w_g2Y!)^F2kK!zHuwUDjsCipE{>FZ5+o0-n za@-l!zpLYJj(a%nX?vm8)z@)9)bkjG8vmUgYKOahG-{t?oF9jpe~R-{ou6)JIzJ0l zf3D+sju$yzY?ojx`mJ;OCg*=bozr&I`gUR{{)T#PcisLFbzk11))g`{_}+?%iHOsp z_8pE|PX^R;%#FGig`6*j`aW-sNw7a^U867qu0_?`kE(MRRreTb-ZRes;`~L_xm`l7 z|BBi*^Uw*4Em&VL<0w2$m#`@}xA&+K#i!oEbU=e6TEj^8?dXa8s4 zqxKmxE7(tD8^uPo(d;MoQybmJu%FqOHkOTTUb;fs`z$UbbY+{?lCbh|Ia+|`Y zw5e=ro5rTKp*GBh+X$P^rnebvM$~(-0P6l0b-ozt96v|BuPZoT(fP`bzeMf3s;zEo zy1kaIjk+)OZ6nmUCaCYDE~xw06*X@URR2Dx&&vq6k3_9=9ID?$)aPp+Cct&5I_vEQ zyU}j4KiSQwb!@fUo!?=1+MiMD*^64wDd$h4=Dmqp&!5i!g{u3vkNRBaL+!UPHo=*w{mnwHXRhOUcD`L;7oy%Dt5EA%_*gn zHap&8w>rPW@lI6TU5ihS&^Cul&K)tX2K<($2{nP$sZ`;4^KlTo4{|_Ah zi#o>_j$dL<;`FnF`WdhgaTC=0uch;?Q0wS|+DA9r!|gpWl>7|T_vLcb_%*2Ka{zT8 z&SEG&Mm?_=sQ2JI)H!}Y%@cD@u%1|`@!_a^4%B@pj-l8Xi{dQQefR+_(Is0 zcrogHSE2UzCu)6nF&T!;3-%QSTM)Ox3^*3UaSiJH*J5RSgE=tc{9xT#YhHp9SOqgL2=X~m{qtf0Y=aeX18V#O{1OW-4E}eRLohS(DpcJKsPjFBI*;S1 z`*$9-?hB~=MSBVLp16xz?;F(q-=gkIq(wph5E~g)CmL#>aWD;Lb3P}A5a+VFozG_r zqV8V_)Vj)}>QuuJtd6Q*%W-X6$NBn>8`!T<>ul<{nd4TNn0#MMj#J$}&F$aY`Ka^S zg6ek$wf}P%g6Hw$xuHH!x3Dy(TO91WG^$@2)N`xgxFYKFQP*)j)bnYKk+G?5j{2VI zjyjM27>@H%br+!OtU-<6g!;T6MD6biCdJ37I#HGc>-ZG)T$7{fq(F_!>Np!lAU<_(WSoRia4PD)&31k+s?I#e3ot7266cqq z>aKRY232Rh;|+GB^P5rgZFPQ|^E>Ts=l7uc?L*Z+=KOKgIiGQS)}C|zqT@^UGV1g4 z2ddtm&i{ql|2qTpVtbgd(#jz;CC2~OE3%%I{q6q z?-S<}{1E*8oE@W*&yCTr0IF^^%!fl!pQ{;I5Km!Ne2rS~8`S48&hp^jAFH6|?}Vvv zENXoVP~WGk@KfA~8o$Z@WH;L_b}N2Dzg?*F+Uxv2yWbwL2kjwy7`4CSsQ2_8%!KiN z49+Jvs%}2i`4+&`Sj%x8)H>_hdbU35cS1)@i{nw_C!)Sb7NF`bc7Cb-!TyMPpKiAM zoj-^XpRr@BIb(Vf0tDWwVx`ebE$-tD@@G!t~f1Rktt3z@e!7GZ*#T*Q56H3u-@i9LHQ0 z)QN}s{>g+@u_x;Mr=sr50@QnZJ!;;~ZaL7m%C$G`VI!RqqX||2xO;-TuLG$eLh$WE;gswb4-L_ZjLu;y6y|I4P=r3Y!|WuXLz& zrAM82R@8d3qn>vG)cMsw^{eUj+K%fuu7|4smE%UJbu@GSYug%i?j2Fj7j_* zYMvo>s2zq{*9cU<$<9x)Q|&a=JzRnMTy4Xw_$P*8)V0CqGCrzb28@MyP<4x=-fIm| zpPO!|d3&IKhm6D6_&uuMX4L2G5UT$T)V}{j_5TmEW5#vCze`p|opTM;{_A2KY>Aqu zwfz=#4sB5VIy&y;_AZXQ+HSVH?SZP-%W-eVeQkf|2iSpjklVj=JOs6$5spXNQKwrO&abg+ z?K-z_aJ#cpciNxbzT5F0yVv>sjt|&__K@3;I6mt5IA&%a&zygb zx_@!j2k)t5sQZ)Lra-;lv!ULTh>` z2deHa=MSLvdDQL4>~VX-p0uazX?q5>zh_t)^KT5+Q4qDxLa6%1F(bA_eNPWS?Q!=fln)bN;wJ;rwaTIiE+>xr|!hb=3FMYt()I%{LHLX9%j!NYuHG$Aq{LfVN!G^@8w*~W+Ma@$Y zHLenBeP6o0s;!RdSKICNQ2p!M2KFo45Vh`Rj+5o*87QTJy* z>ihh6)N_1_n*SMUy)PZVvaeC+`5z|6xZ8s`K5AS7o6sh5dlH)rwT{$S80(^be>BGg z*bS577*xNBSO5>X{Ss=P%c%7}Kz(jspw{)uzCrc-&%U+q-2UG22h2gg>^p+@coED* z+yb@#R;cIG26Yd+pw6$C+xw#K+c4BU8SDH6)OseNKA-a)FGQ_t5vu-D$II*wSc?2V zsQdK{bq=pF0#oh`#-~D^TSl7)wax-=FK7$d!nTMlYKvi9##MIwC8};c)c5RQ48?_R zUxew1525BehD9*S&%u79q4xI)>UkzZ?K7qGsW3fpDaWNz_oyDK-&d$}YlLAq0Bhqp zY=Sv=1?{@FeQ#co!5BOIwoKi+=jYWXPiHaeTl!=9X!{XsOQuSwXc?__4h=r zr?>5kpA&CK)!*U#&yIJY?#BVt{k(*_AAdOikK-q(d0t?0jI$^BJGBVrBkqWrw=?Qo zx;gHFxru+koOl7Xj*FNdW9|*c#YT;bXA`34ONuElH|o9?LY-G}tc;^j>z!ifqSi4V z)o+R8WvG7Z9B)9?-;7$%7OaIa_66f(VnyOw*a7#Vp4)#If^Siu!_51G^UH}kzcQE} zzr``+vl(WrBogxc?PRK4#} z@0rEUFGqboH=+9PKz(iwIX;P6&uP^6$?uMDqUzqp`1lgF&(979^T$K2FFvYXD%AQ5 zV^l1Tq1YJp9DAYe{S?%_IDi%KvqQl=aWM*U0#x0EsC6Z_Nu5t-liL(noPPBj*S8HY zoP0k_hEuTxzChi_bccigF4PFMzYbUj_v0sc6t#|HsCAscjQA9z;VZYl#xUaKM}mGS zQR7l!S!{+n*UqTV?LgFh9EG|k=TV=l`>6Lzq@zLoXqbjD0zbjbsP{ri%z|w(8_qzT z>ju>L!&nzn9pgIzzr!kc8nutJsONDHHE)#T!TFU$wU`fBrFI!cCtibk z-p5hnPGW4lg2gcLiQxTE2{rx;EQb?O=Qj;IW7LzudeUG);yU;#Ho^!TgsT4?YTO7r z7Sj^1M4i)7)I7&94DVqcOm!-_kD;jNkPFqnD(ZJrOVqelsC&>88{ipigjr7q&%Gw9 zUoF)A8G`y9HXXI!b8bIxe?hJL0%||kFb3YnLYVqY@VU&4F^Th``WHYw=PHh?q2{e_ zYhY~RCT?$rQHfh(UYzN84(ju|4pnypR>AkEdLJ+yMw|`iD}u@w#W+|A^_**cYML|MaNfA=XBlq-%;ms)A1jU|HQcDpJD|pe4c-c$5E*MV^I4Vi>f!# z@gzGL^_*v;*0&J#{@I2azr*bZ@H665sCuW}e%A3hdmgpF3yv?M=Dq6pH&os0sD3w5 zpOf3Dd-niU|6f$UN2vY1NA(Z+C1{U~x-Ur_Cq=cVK=sdT3!&~`IaJ;9m=GJF_S@99 zLbbO>J^zl5JE7`!MXjeh#=~K#_xL`yA9Vg#)bHxgehuoyMAb`(>9G*@!%Y|;52DWh z6n;Ec)I4V$pL6^RYTiFF5x#Q%4eEUVhZ_GL^_-$#2=XVZ7?zUfvEa}oFC$NDC&I1VkoY{RComS z9515Qc>{Gn{zldL$KFA$=K-qDbLU^!m#B5UL7l@}=ik}?Isd_iTnz5xC#d-oqs~1& zYW{4f`Lo*`sJgjq9_RC-<}Kj3pespx)pQ1x%xKkO~kdHmz}4(d6-Le>Az?H^EeqFoL8e}<|T6E%M#)cGVs ztuHNV-Puw1Fh3^13aC0&Q1z>$>eN8h`3hC1393#jRR4CU{dYk1?}$3*KB#_!QSY_! zsQIQlKNq#XMX3I(QS+{|8&UIZ!4!BFHP3lezYF#SKWB;>nQT6`k_`UsLBmEYvI|Ow;aZvBWWT^G0LhUmx zs!o{m>7CDHv${RI<6MsOpz0KGT*z@T)Oi)RCEQ-p?PXE>s)U;VOIr=~JnOo>A*xOz zw>NdZrSq+v|JJs{SoH6OC2%upUt3Xiw%P4=huw)<$8OYq_M^rfw1=HPjw#6hg*wkC z7=ekd1>ZxNFr4@cOoGi&_pY7oiFz+gN7bKczem;i8B^jV48>Qd&*LZ8gZEhk>T{9} z^*i_r)O)Xw+h<^6;#H{6!6ww_a35;E1E_r-M%{z6sB<}I&)Z+@ul9nyXfN5zsJd6} zHRrF}-<`kd_z!!_`M>Pn&i`ZY*t_&r_hrr?P3>p4M@gjj-w6o&j?+uAbxi zsOQ-lRqtDDjE7L?auoGEk2yYxx~Es1zlw#46W$2=C9;Wa5}VW}v&m8OrL?J?Ph->C zP#cEoAK^HiO>Z-}J(J_ijldSCs4s`nRa9k)@R(}#{9VNv2NH-moJ zQT=i_&h0pl&Fg#t#|2UQF6_97Es9!46~|Q_H$$znC1%BmsP#?3%(xR(Zx^=3jDJLm zR1&|z{5Ti&-dc_!_#3XF`a>>AX#t*G_wM4itO)I3M+F^ocd(w@PD#J5oW z{83_H`#vfta;sL#=2$4l%|y9}ey{-a%G*V+xJc{ZZz z?7*nF8@2zvsP=t!zw-y}VS5yl((eZ9x!p#c*CW(9KgX!}8ddL&{m;HdjSIOQv`5BJ z;&3dF-=g->4vXP(RR1-odTZ@EyWVcF8&TsoJKloY-!{kFQO{#9s^06drar<*r{}+y5+qd>TYTihH2mL}& zaTLcTSnQ za1UzSKIadk#veg_{;xUz2dd6(xBrbAcgOAjI{(o5$EfprgIZt6Kf(FNLVeEDqvpwA zGosd)#c@`f&H0?D`EsMyk>BkFY(ZNHRi`Mbe{ttaI4jjC zUiBQ;M}3}Kpz60o&G!xJz1-VzKUAGTsCzZW@dVU7Gf;Ks;3v2URc{G?iYuL8kD70X z^7(K zxlrTtInM9)f{qK}$LHa=7-pt_E7Z6)&bPJgQ0weqJ2~IkaaYv$+IOhB!<-*sN1@Jj zJgWX==ci(H;yI}O&qeiHN#vh)!m8u9zEsuGZ;$z2(_-KsOS0` zHQyV|jv4L->&St6E=3)eLG`bMn!hq?o@%J^)t#^DxR$Mr8ut}y-p0;1u}x9+nqv%X z>wG)g9@XB_aVN)JY&Yk-+aAvMLe1CLaevhBrJ1Pp&O*IkS78afiy1NAJ^sxMOQQBy z7V}~+)br?%8b1K_`+uzCaj4JHOvkhA_ozDa>>||Pqg&m+4Py}RL#_9qJ%Xxt9yRYJ z)ZZV`?+5i_q0Th{>OGhd^?my_ev2pYQ#_9!$76Kj8(17uJqXS<4Qk#n#}TOgr9+)h zLC1w`Vbr}S@3;bfMqC3`r?#!<_WHH~>Nz%adlToI+Ge)7ZDGGg)opFtU|r%pZr^M7 zx&0vOypLi``~~%UKhD3wIVVNcOM!aN=SBV9-U4G`N7Vj1+0OX!cdX;ln2PpgsQoNQ z)m!QIRdzM1-Zs?v?{a=O>b#CRK4y=j>Ya3a3iZ4$pq}$@ZoiItk3U4M^AW1v8^{0I zxAq;X?t9caLmmd_63Zq<)k%hGPl;M@sPkc{@evpsb2*YX)LET#Q=pG7Q7RsONbDRqrP1 z{rA-IGgSYVsCB+}{*B|ej^8wV_=(AO{SsBb0czcy9QSwo0Mz=2qvjon+UI!GdCWxZXEtg* za~#h{)m`OyE$Z`f6xHvTJ&xMvX;htasQq6?t^Yb|-W!+zpPQRDMEpC5G}%3yq~jao+?RR8*@-xb}Q?~aity@Ri~lzJuw^c zVpN^2sOPp1GvXc8d+r%(A8#=c#(fd|Ui%#NT&tnZy)LT$SE%RJ(CzI|_p7t>U2IoW z|DLG*_jbOI?Q8ql{;2aE_WT5?MqR0esH|p@e0Q)9j~@)QRlT0^?BLm{0{rG-HlquKGb{n zl;g9g=Wqcv?{sB!Q{6tzPDh>RY{zr#Tssdnet}(tTIW*7KcLQkEq;8iZr|+o zt*FoKUexnGj9T9j)Ozn@8O-rI_`KFZwbw=McNiwcIjD14i`nrvRKIJezh9EQ3I2V* zDC)jcK&`tHYQ0}Nu8R7eX^1+X7PbwlUR&GFwznN@N88DEM$OaJaW~uD_CTFWAIE)B z{rfu}fZE?Q)c%&ceFbWL>rv;o9h2jE48^CYI?qw(6#ieZ{s>e)J?g!e3rk@aRGq%4 z^B92I??6=l!OjmwJ*UxbA7jVbaj5fQ z{Lt|u``A9gkNdT+oPUj~^PltobN;>k;P#OBLBA-dbwx$3Kf2=>sLw+x{P_G)&pjKe zeh$?7OQO!9JnDC6ZPfl6q0Y5E>O6X(`VDaVa8%uK7>;XEzmN8#>K{bScM3nAoAYNK zpR?zk{}naQ4d-t@12kIAy`)ks%|vY zxaiKuK#h-SV>=%Qwa(iK--d=tk_Z8O^(Rp)EREm8BealW1N?HzY? z+zGYruFiLN+{zsiaHwV>!zS|eL zeG%$BmOKBWU4a_6*6}*j_>GP?xqTaI{BG2Id)>Yd)&HR5L-w#eVvnNwop5~8p0cOy z8GF{Av*+zE_E&oW_4&Pys(%ynU;<7{-=A4f=a>Wa{x6G(u>pR(2ezSYgnBQub=(eB zwIDu?afj9>52OLc_gO6WvF>ppypqV`X1Ycnr|2CeR&qkW0J@r zAHTOlQFX&?IBGvx9A`!So+yN>Th#4kQ0LMfwT=O(dol=h?$c50`5yKAV2Rt8q0VU) zYTnhT^&dw)zgwu^F>kN}mW&ee@jY7!RlhQ7+?S~SEm7+jkD6zu+h?KHy$m&Ox${4w z&SQ=9>o6_xX}6z2?eo0jU)=uG@iY4z!|9hKYRJdm6M0d;Kfc5)*b}wRUZ`{EhY>j6 z@nY0G%kbm+9Ir&(haIT#JKes^@ou{ZwU2{tKa6^=v7&{1{NJDFMm@*EwiKo!Zj8E@ zEm7B)P3oJ`d%A|`W_hV_A#jEJjd}|RKI0*Eowg-Q0v-)s=F2IV60Dq{pUpW z%Y*uzQVMmBUpwC#HBT?px%5HR>5KZDjzWze>-;!WzX^^f+DXn&vD2KNZfBsL*E&?a zjhGtGpzhHXRNdcD_vnt}d#H81My=}&YFv^}gZr2RI}p#o^tc!E;|o;1SC|1)M-T2@ zG1PM?iF#fYQO~Cu>Ktp^2F^D_t*W@0lv8eq_Ks}$CsL%aM{0gJS2*yRj zlEme(9F9SK4pyM%UymBU9VcLg&w_hd5B2_OkD9-O?Pxop&SwB>zk^WsYAmYWG^~NQ z9X~|Xd4%fs*7>M0gZmd3l~0M7^fa=!~BXBa-#@kpKbHxhz z_vajYFO10@S@&jivBkw?9NZw`W)Zi^K_u zGyu0^R=kBe=a9HTy~wEfqN3*c6pLUfx0goMtAKj$HBkL(qxRbn^*(KmI`>Yf`_v89 zuP18Vy-@uJqSikdHSbhA9o26JF2n-yg8Ntk)vqL~y%g$uu@>riHgbCt)N^W!y2o8H z9H+T`hT9jT-YaYDHn;CU)!&KQ?_S6I?0$Q|9z>nTY1I18+ViM+pQFyuKipmROefN7Q_4QS+^{>+J^A zy0)O!aR_x^j@lEb=lF}`i>P(pK%K`uRQ<=O`JbZZd4}5me~#ax#zjpS^!o(Eh%=)4 zXF{D{N!0VHjsYmL)t#3Jgj(?--|BIUU5o#SToPX#1dyF6-mMEAf9QB-wVtZVU z8ovUy@71XDU5{GV2Gr;E8fyOgsQ2tU)cR8=4%U$l)jz$>fchNfL+!gbYF|~{UKMq& zby4$ug*wkxZf}j+UkAq>QJ<^6j{D))#J^)VtdS&m&&j_I=gyHPmze z1NFP>18QIKk_O`vp!So{Cc+%VrQKfEmPdWB&q4K{i`vgZ$BP^N#d`oY7{onQa!-`R75cCm(9vh1^~k zwT{mnmqhg|?YNBFE1~B55;eX$>UVov)VkW)_Ne#7U{wF1sCvU4k3#hyjiI;#>tUqi z!Taqq)VSEFesNIaX#1HFN5=09A`t_=c1@_rBUzEFWp`hHNKjy zj+(!ga|C$rz5If7w5a$ZnitBUr)!qQ1^F|b4N<>yJEPXo#dbxVS9ixfY){+E_C~F50IL5WRNWzthoR~YN6kOl z@fbT6_57xz-v5i7U+j1-hLJyms(%i3Z?B;0T}O?(>-b;Pd=Kp-=bxd@HBzcze00?F ziI3`^097xER@zl&JNjcAUnhwV^i5hNJqYbDZ90uo-P8n;F$VtK)1oyUk&9 z+FYn}&+9lJ>bVp~?X$Gw3aIyDUDUqo+4`t^)D$(YCF&lvb$dJ89<{EHsPC&m&JVWV zp~jCuo#zUp*89Nz>-;0sc|CRf+`e@FjpMiWf2ea0NfXQy1ywhyjfVQXr*L~J zo5t;FQS*h{^q7vg66$wqL)7{kqu$HyP|vM1>i6GZ)bpB*`uDB%k2u(dt)2woVKGrZ~IYo zkD`Ozk)g zYTit!_kDin3!v6l)NwJ?ek$9qQ0r>$_7i;9^ zoL1PCsC}-sYf$`$F&l{-mcb$KX>i-nAp0}v^-=WqM zH7xl1GZm^%1ZsSCRKFak^UjUB51%_<()lu|^;K}bB5J-b++GE>u3B!djoMcORKJF( zzkj=-=IM!=x0mg0``Es=pY4yTGtdsUL)<>p4s(8l{YKcd#R+VL8@)~-YCdkgA(x1rXx%kdu6{Cn*_=MOkOXb;)L z_J}=-TK5T5{Zr1LwrA{Fd(NJ>zt~^x1$)t6vX|`@d)5ACui5LU_t+!U^Lp?62h=(v zM+EzgVxywYFS_FxsPl^Fd?M6&C3kxY$7vmhqUuJVz87<%o@;*8c@#vQZy{UQ7O_Qb zF~@M`h5R|TF-5_-$AYW0qVa)M$Qnt z4`QL#7a#RIF9T|x%&2*?qCV#(P`^hTq5h8SjJ5Cpmc!^7gF3OXBykl~|8}TKRkDE@+a4p;3TsQM33@4M%y`jN5*{~e_^YTi1w zF6usijoRn8sPEe@sQbDNYh$cz!ShUjHHllI`nN&VYirxt_O=7+d3AQ&#dfvbY zK92jM?!!RTISfYC8R~er9f`VU<5BCFU?sC9He_3w=u z-v{-+9)ApQ;`a4G6u?L@tw&Y+&-Wz;=;fqI^)^91LT8MV$VSP{EA z?q<8&9;o&7My;=}^Zjgp)V_zI&Sf-e-YKZ(ya+YVV$}Ghj+de8{^)pxUFrN9yB;-e zqx}gr&vw*%?=-6Z8PxB)EA~%RzdNXN`GC3)G4lp-IO?8eLj5~OGt~IDsCD;2)$Qy2 zFw{Cm*iqPKqoVG8bX1+B&L^|U-JTkCP8m>jGok)>7-dm)%GvU$b$;o% z3Tht>Y%Awmqn<-Y)cjph@9jQr?`!*^_Bk9i??}|=ei~~0T-3QO!f-r*I-j?wb-hE4 zd++!I>VBolAIuwydae;R1M2*XqsEu8pS!&@YQ74n`K!6TI%?l_9oMtz zzOOrBY21LSv(@d}Q2RY(&!gT?*HQoe^4f8f0>M6`p?;4fM%77)+Fu$QhT2!SjX<4$ zM$|cFM$K0MHNF_?`Bg-XtAu(^)g9MBt-mFze_K?Y_HOUsd^gA4-QE+mu0GE9#Zcne zZlCM?JjV;{BIg%7Ug~(6{lPAG`wGV^?JBz(weR()b!>9}C%YN7pPi`v>~elL>bW0A z-GdXT=kPb`ckCWxK>n~XVeFKWI+ zsQ$lVC_YF1Zc9)oc<$k-ei>2sBoAtT`BBfWfGvoczo_G4wm53PpQFZ=cD{@)>wE?L zc>huBZj2h&)HX+rZ;5(ubU^j*fm&Z*w+}##8-%)7Biud~)qkqnr=!kgz2l9j{cJ+b zv&HdNyUqEXb~oxg52E&c6gB>sJ?{KzRK0Vk{+HZ-+3nXHUq|)3iCX_H`xokc^$@ks zXQ+9eyZt4q?mNftZKT3Moye$jh=CgS8ET%`sCo%d&p!+`Zv<*T8BzT+*~~VJ&5G)u z9aSff^LcGPo8K0&1yS=Caau&$k?YHeesQK=o`rUW_ zU(`CEIR6~g?}gi6q2~La+anbT_7NR5|7WQE#z)mngsPVeRVTUQ)Q;0Q4o8ho=X`pb z!Dh6XQ2nwv&Wfs^({V1h=W(3Z=5xM)Eo6(hy{Ii_i`x>Y`ARx2WlK9>)^Rz<6;Pk^ z>ZtqK6!mvP7w7w;&Sd~<-QS_kWeDorMmrwk_6ex@C)p`(pK7O}>di#en`0L^zZg}2 z3F^MBLe*Pi*VzrI`M23UsJi>zeh_spk2!zR@j2AE%c%LUq4s|pbx$8*JuF`|ct5v9 z)%^zbchz*vjJw@_4fWsG-(n_=C>Hdqfz60FU{QR4`aXV*s`nPPum3q8qj->yh1!2? z8wa({1dbEhM5sDR9VfHNF&p`ESOf>5p6dj+Pej$5ikg4A^E2#B)aPZMfC-n zjr$Qb|0=hyc7Cm0@B9Y45p&Z2568Dq-+z%x1p5s^olk7kITyu(*cJ60dtoWuhC1&{ zsQIs=&g(bSx~^jwzIPny^B^A?!^x*Z^-qub`=zksBAA7^CF=dv3ANvzZtsOUw|=O< zzo%ghyp8Jj0Lx+SlEM0$qW=ABE^1x#?LyT2i|k_5@A2K374JHK&)&yS@-a&V<6@!i zX%f_Vg`=KtZq#{J!%*ymnx`{rpTkh=7=fB+1M1%IK=s>cf3~|&{r5QDYxkkf{h&R9 z`kbC|d>&QzH`KY@LVYeiD;>-e)5fx~QS-#L@tseAs*@7+`zxEiqw3{HNRha{RaB zf9xH5*WN>Yz8*V%VxOYwzH|IP)Hz2g6Ra-;6-Tw7qSg}wb$`<1$NP*rpHisbchyk) zuVw3@_FEtIxoYgViEV0|+2*KuzDCX8+WBvsZ{xVF64d){ zE#|?SsC7L-)sIvmm_G#deo2d}7lyiDIo+NMRj(N8d6Yx-tAJY17pQ$yc3jo%)oo4G ze9hh767{>V7iwH@RK31#AAouuL)<>p?ZcfPgZlS`{ir$@Q1|hQy^gwHuTk%d&ngD< z#I&(&Y#YbMMb$}&nm?KI$!!Xo(xyV~Kds|X8)m~%`%33Hz2l5Fv-4SOR-4Ucw>fN1 zRK47e^Vqzods-Mjz8_HMQXBQ&Y2tiq$DM6oOh)?@)bn4DdLA24^|qqUV<+m~oJ8G= ztM(46{!`T71Cc8Q^Cm{UuQH>?XGh(i!l?BZMa@&p?Ij(Ta(fwD&iV4Tf~{yPq3Tt} zFl_I92h@58qMpxpsQWj`?UPZTmsyU#x3ldWJJ-%b-J^A=eI3A$?+euY$5Hz^fja+R zFcZE-olmqcf_|T(K931(YScMLU~a69s#6D5x1QS@qt3CpZH3xTchtEKMtx7rMg4o` z2Glwap`Pz`)aUkZ)VlAZ{`*x(<)Cgf)N@UU>Yo*LK6y~}OJFu^i#pE^sPhU2h}zqcLi_V3(2+>UmB3~JtSsP#=mt$!No zInPF|bB^2Rqxvs&ei3S)D^c^WwHr~-dmn22etQ7b|0Jr;Y1BNwqMqMx7>aK(3{zDJ z_LC0vy;sz68Pxc4sLyd7$MsOZvpS=m?@;H5qxLlhb?<&aJ?~AZdv^r&T(6++&u!GY z?xW`U7qyRv_7SSyb5y_ooPUcthY!w2s~U{^#D0pZ7sJN1vE3dAH9mp!iJVVtlh~v- z8LD0i$0;4BwrQOYMLpjL$LVZ(n*miPljF=bi}TqWXSX?QPMgc-ws}zX@;T0L3piiM zabd?rQO~h5>bcZMokJtkeQt?5?>4CC(AKuI?NRe}bleHG->%Mgw>?pH`=aXfL-iYo z`uvV^ezYBfdcKoT>zIXF$2`u@_M5 zx@a#sf5q`t)Zg!ks|D*yiK?3#wXSf~x^iN9?14k@73w`6xq47P3M!6+VVDy&KA+q3 z+XATig=`V$i#jguxCCmS7V^H^JHtO%(OQ`q7LsZ=tm>yHq2+lt><|nR+dQOd;Z;B;|=Q&G{&hJ>@yYWdnFI5UJ>UjqRy=f>iyFIbx#^O{ucFq z>WiAEA8H*#@C!VNI_I;P6F;ElNn9(an*z1ZbeI*Zq3TpejjN4%4}R->8`QbCL+zuB z^IcK<>xcRt-Rk@{RGpt4??QbqUqIc*Td4is!wQ(YcJRLs>5LlJ9o60+Yv3u=`c9+v zc>#4kS1}CVqJB5Ts}uYVDTSfL%~9+A8Y6H7YTQ`V_wWkTd}~nq-G@5ogQ)oqVI_=H zH~8;+SyBJ)(*iZFwQY+!$LSc3TT$b;p?=35L)E|T{O_o9{LAre)H?sMcb&h7n&%;E zT~F+D)bo3fnm2R3U|%^<=h*|*zc*?feJ~x)L#<;2>i%EEP<)B%_X_i3mioc{Du!i= z2cw?HDAf1qBGkH;VHh5Ed>l3JDaYp=|B6+}hcyV=)1l@|kGdDd9hX4e>*}aFwNU3$ z$L)1d&%ZGi#u=Ck52McGENWf9qMq{=$Jen8ap+gUykV&N=^UrG8Ei(I$!13N&xU$# zd7RIST3>$01yKD8J1&BHua#ciW~6beMGJIn!Sbk-S`AG{wZp`&r$1m?fe_(-(o2F zl#POZsZsZ%3Tpq=QQr&AP@jYDs5-q-_4}ae_p<{~;|4n(f?D@DRR8hLPej$3>UcWp z{>?`9n}hn_2W)e^-R{6X50AYU)1?Mcm5@2Bu?EV7?;MT zMg99h5nBiKJGTpJKi%=;zES5p67_l7i>iMFwT`3qm_2S!*pv1Ys@^%r=TYZ$4YmH? zQSZS=ZhwsWT)ah{OR}cH_frm3Tp6{FnwSB5qwd8()W5IKL!Iwp)V*7aTJJj4yxSe` zK#kjr+V=qr$J?lLi`6V>Pk=dyOQPzOLiI0eE1=$seNq2=t!b!xv=qzWKd8^+3)J|R z_7&>;E^6~&y)jVlx0I-UsZi&W#&KHI`?V0NentEW7o+a+dDOiKX%Xx@HfAEukE&O| z7PN&>`zVU4R~dCLTBF`09Z}z#Ls5Uf|Aacvy{L8VN3Hi)Y=U{d4(jE{kMp6PdlA$+ zr=jlIdepp|Q0H|D^}Nobp5GJH@2Z?FgMN8Xbqb*7ErjY{-0dY%^OZvV-uMFZ;XvmH z*}-lf?RbnGYscB~b^>a?NvQQsMcupEm=1TN=G}vOjwcPEtcE#S1$AJ&F2!UvhjIwXfe$%QR}+v_@2Fw8vie9ov)mKjjI3FzDM+*87hv2>KE5>e47xp{zQ(GpgtdI zQ2oPfI#j>(HiOM*Gug~G3u=6J$2lD5MyD`87IUkdeJsfPNTw!~~W3H3f* zg!(-HjQV|l9#!|6{TtI0$NVO!AKS)7y${l&>QzQPuezvv{xyc-Fx2~Kp521s#FtU) z`WrRhW7K=&9qKuTd>fooWYjzf94AEWGqK|&HmOZ!lcUZpmE+WoLs8?y9jAAD2In)` zEY4?joZWE_RNdUD`<37A1>IiA7Pdv)UJUhKDC2xt=gT{;fU5h26W2Q2m-Z-wai^HR?S&9Mx~6^W#zXa{_9AQ&8ilqn^ubRR6iCe)H^n z)ca!%YTO3YxSvp;gP&3TcR9ZoRqv4FqxJ-9edkd9&!hTXLe>2ZHUD)~zdup^{<61G z^WJfM*YN|?xQF&Js@`){{Wqw3A5h~Xw+ZS-LA6Im^^fH^zS|R^`X_cih4U$$PvbZ( zYJ3E0p3IK3yFCYLeYqUxM%B&dIKSHqIxgh)qK=EXy@cb>9hY)k+Lp0pQR}JbxDsl< zFCABLTphKpnzpvv>o~55+D~K0O;L4P*jCPegPO0M;|^Gpcn|9N?X~;de!%fT)bH%e zsONAU^*bwO+hANQ)O#ZtYMm);D%85dQJ=fasClxW-bZCn^(vx%FSc^r7PZcfsJeYo zb^F_as5*mC@6&0Hr`s8*{eO?T_lxjzyy^BoP=Eg?YZrVUhN0$5kD0M5s(v+8otlno zq59QxTp#uOp)G2C?cLtlc1P{6kK6m9&S40u{!rBUjCMQ*HQ#vDxGAW*)36`LZ6Az_ zhv|s(q4rk{Kfc$nC-HVv{T-<9mlLQur|cQjycbaYE;@hN@fFlMuA#mc{zg5o52*P* z?GV(9VPo3ZHZJOWB{gav;i!2cQ0vKudafm%FNLaG3AN73sB^AnYdK%X)wubPAZnk(Q1wQk>W{$)T;u!()P8?*ybbkzcN8_xF?-yeuqRRTTu06S!1;es z^E|?;SiECUrv&PrH+0+xwXSB4o1@O918RIH)PA}%M`yhyS4J-FN##w?9Vxetv@)Fm2~xo-C+&vf6Bzp120;yqlovwQ&2_ zn2va)<58${o#=QHYM;9u@3DKaG5OS8f_h=7dBai9BctO?sP|h_$IURDcnE5r!|Vvm zM7$Qu;WNyRp;9>5_Nw*?Gb!_lcMUUM&)y$ z`scy6I2UWc@;gQ#=AhkCA$P~+dAzVG7n3hql{)c0~`)IM{f`sYKP*B6efq4rT7 zb$=V6*4Yp>Z&TE`mZ*NMQ1`Jts(%mE^X`p$uaCf@xDR!|PrLmbs@?@uos0GoYG3zI z|Beu~cd*{iQ2R-X?Qjfg`~*yon^1LrLfwzEj?bai{|o9|uA|m(M-)PGl);&`f^hWcJuit7IZ>fW74o!1qthMD>X|E|#p z8xU_s)!l-+XZsx=K%L`zEQ|&F1?N&6TM{oq?Q0!sy_-<;ZbqHwQOt#}aUzcFA3U!~ zn3Q-qs{Imb+!fSw{vGpRyaB=gJ z9W}nE<6e&Ypx#UCo!@}E=a<}m#r}qRFGU#`m=#qoJ8FHoQ0vI;d|uQ!l|rqv9I9VM z)V`{q?r~jIo%*PLjZk$O+a}Jpz;N=zQ1@Uls@^h8hsRLo@*8UWHMieDJ>UDzKS0g@ z#QFcB=KtXKNP~jULkd)#l&JR9sBz)WN7!_3&wyHg7S!iH7ixWZZ2{DIl*O#r2}|L6 z)aU3VX2fTxzdsWU4*vgz?S-1Z4{AMqu@W9|d=Rz2v#5D5qSkR0_3sxiP@l&SsPm5g zU2sq0qCV&8Q1vsQ>SuJE8TB5_joL>(ThQ%=QT>aczBk%A-@*BgsP|Am)cApJAB+`= zkD|sOL#_J^>KyJn|G@r>TK7xGuTblKgBte%BQShOP%i@2KO5?K#2|G*ATV;uTgcrMUCs^_O7V$-BIIupw7LI^Zii$hq!&H^TQpFup?3P zOmsX6HEt%V{`bz$wsY)UJI~HX^K`4|FBWQC0@QjFqt=(i?I~;;)chIUp2_)asCqeU zE}I9{zbL9+F~{ZHUI8_KWz@V?QTwcg>R;Q|LH%xNgX-S_)xWdj?x^{DqV~}rHGY5{ zXa}MCeTV8d5>;o6^W#wO!P%(sbL?C@4>f*)ihZy>OMvu9^8l6sP^Qjb!J4}o7|}1tEExT`wO?%x2>J;h`L_`Q2QH* zTJI3l@0!`D@rzOSYa?pEKcVK??RYP0{65t9L(U&@{-`}>kE8Z|%JFG?#-4TiFOGk8 ze97@;d&OS0zu9Z3b^h-7hP`S3u(weC{zC2Zf%E^`hp5l-3&$@}=N)-OkdJ}dM=aF- zW7{}3uG4{H7$2Al8#h=i1{1x}W0cV!`ISd`|9&rSE z-ye;ZpN8JoXQ2I@iSF}x==?5=S111(bU*J!+r2O8_a}ZZ@k4Pzd>CDiH_&>E(SF`b z{`>I*bX*^! zJXS{gtBmzygSbj;h<<-=gU-Kw(mTYCu@gF;&T-?UZxT0+o1yEwCHg&KZ}fBd2=p9Z zi0=QT=;zVRcouGPPQ^;Q;&e3sWHkR`wBJkP<>&W{Vw`|TODz30$% zeKq-S;V|MZ=a$d!p6LC&H+t@;qWgFXx-O^3nP~rKB|bOtdGUN4MgI5L4>v!r{O@z- zq3zs;*1sM7{_+&s&ui%U{0v>MKhbi3p`W`|=a=iS7J46Sh&$jI^mF)Nbbd!-8@v>~ zAFe{z?;5ndYvXnCdURYj#d+v@-5&2o`+E$n|9H}$M%U|mbi5T8l;d0v{T{R>y5B?5 z=i&(T{+NXJcK}-MG<2NjqV1m-&qvE$gpU6bw4GUr=b-B{Kk@zOdcKH5aDxlWde!K; z=#aP*jv+o3ZT}4Pd%;zSuSGw1Zb6?j@1p&`kB;vH^jv)ve@5H?6WxbZE-KfnDcb%z zXuWmOc3Q+%=sH&?zcu=KzH#DB(E44`@obGge@;f%>nwC%E=SwH0&RbGyfW!m#jE2r z@mln}%#C-V`}lP7pTXk3i7zGnWprGxq5ZuP7bpKMbf4Zs%YB&qkI`{|o%kE{`+fb3 z%lS1z=g~M;#U^pBxOQwBo5kj6zbzBDit8u6P2#rbx^+e8w*~r~>5J~`AheyKXt{Cd z`cFpp`A~G9r=#`GkJqB@-H5L1ZRmbJfUd)W#0$}L`X0I-pP~JI9luB0`59f0U*fOv zxA=SfBmNoxLic59;(y|@r2mVyU+duxt;B1` zrm%w#nZv={1RK(fu5dco($( zK=gTaAbOwOpZG0wz1~I3y^rq82l2!BQT!M!_i5tK;^#^KGJcKDr!knTy}JZ=%Uj6KltZH3NjTlC!bOFSU?yQ1S67ny)Vv1+dmI|?p%*PhaXD%0^EtX-eqO|`e^wE zXuA#3@vjl9(0MUsVRRf%q5VIT{6&eMNBesj9oH-I)%Y6P-kXURqwOq7`n&N1bl#sP|8un6uj6+~ z{{e09XSBax;;-oWZg55Edg%AWp6GkWAoM)#iJspB(erd1x<98U|9o_O7bgFDbf0fU z%iWKjvq#W&UPIqMzs8Q(cvjh8NAx|t7HzLLI=`J04?x?gL+3F#4oUvdI6Ucl#69DP zd}aB&$V7BJlj3A_y^h8be_+m<9Qja{~G$ddN=V0 z=y*Ot$MG@R?my_~*D6<+`KzM&t0i6|@tWxKuuI~N<0k0yt54#-Xg@ol^B#n@KN5Yu z9*ll29F5jH7oF!t*a06x>pzT+;}Nu-XOjMG(ifrgdoA(nIEi?hYsz)m9(N%=0}sQ0 z(D^pMw*2oiYT{(Hp99c!oRau3+>-bv+yvi5&wc0X%5q(CC*rBt9p|Fw>s~wwdtP6$ z(&_jZx*t#CHn{t@xWcoh2nGZVdUZ^EAVVe&sh>wkle=LfXipV4xi zZY=kG2Xs8Ou{S!OKCy4?7k5I>$*ze9#@*1*=ZWa=DMzE@I~!fMhtPBNG1}j!*bCRc zsT^Nx^z))C?t!PF=kt8*kME-E_c6A`m2WQR(*T{{YUqBfgN}dQxE^{xR-^N8i=N{y zN$;L`o8)hYzW)tOT!*$dI1WkrFtpzhSnO-k$D{Mx2OZB8w7+ALJ`Ekm@z@5hPWrWI zKi8r2z6~vRXVULN@83tzexE@1VIkVj8)(0a;}W#oduY4w#}Cl)e1X3A|AV%((%iDY zm16_6y@qK1nrJ(XV&hnaj&p7FInXNU>!atdQ}Vkce+zWIwn6v1KRTYlX!}FZc1EK6 zHXfbFM06Ynpyduk`#l6LcNF>@cqHkMV>jZT(RutDe@EW~8q6!(StT~aVxH*v-4LzU z8jEv@J~w-#{r5?JKeXO1i3cWsw>T*2gVA!s(f!>!`QxxP@r=YLVJG5S(D~htem{B^ zU6)sr{s#Kq`W1SgEknn(JpLP3#FcI-=Ti@Dw>~>0J$F~3`*{PpZujH4*zeZzePJlt?!M^z$+ht#Y(rdeTiH(~`kdbyZMPq~4hN(A zdnDTLRP?-@fUf7s=y*?wr^eHge-=8AbJ6Zj z@pI@r-o*~M(jDdd!3J?#bbK|~4W}eN5`A8ujgIG>#5bbrbThincVbukIO(6_X2ebI zEbFa>mTQr?Wo(6h->pkLI1WL_I{|&39fH0OoSFQY@ho)TFGSb*GIV`rq3^X1p!J_d z?}N9|avz}c`4D}M|B(1c^ql^V)~mRyoaf4Dy@uEkH$(gBj^1y*upN#?>+g%UKM`H0 zNpW&K5G{XR;tSCBE=KEJf<70oN&a=%o_G;j?gezeUO~&hiuUt*@)yUqlmAZg-%I>{ z`~Y3oztG>^hu>Ycw+A}kQE0nka9g|rEk8f$_oMwk5FbSM<8kype;pm~VsyOkpwFpa z(EVs|PkAmHq5Z9mw$~Khmv(4-UC{e|tJoJU*AIO!9gUu^ebM{pX!O0|9(4Tk(S2Ef z)_XYVk0yRB@e}bWw7nOS|6|Ao$PIeH(jb8k7W z_0arQX!-RMS0}$sY!^GA>)07B-zDjrB;GV}*VsL7fzD@JbR4y4{T*X(bYA`AAavaZ zqn|?~(eHKpqu(n|L+5)bx{tRcUVyg$czgz(??;J0N89-YtzU0`ncoT>UpuVEK4|~_ zu-ISpxq1xxTssFXe+fFitI>0E6FRS((fj9~#P`Pe@jkTtBk1}+p7bZsexFMGbmE0^ zQPQ7_&!hYOR^lbthWKx+#`W$i+iQug!5hPxfCro2W{sT^qed}+kYNg6^sOVz=aXPrOCq zEfe>QTgP5;ySM|oZZ)ws?ud?mXLQ`VCVgPsE$Kth^&gS+z2e9?3Z3Uz^giA%>66fT zPL2nnpRY$I|EM?>t^Xgi{IN+tE*_5qNMD53e+@Us%7@B-m+y_8i4VeRJR3K~1?cyk z*RUi0h0b#sI?l=k<@eNXaSZyL*&n?hXW(A=K02-s(f5#lunu>5xcpvvFm6IT3q6lF zqw9Kmycb>n`SHGZKRTWTi64%Sp#43T`0@Bed@?>2pGM0sMB95l=`SSxrT9wHUyZND z*U|M~9N$LA{~@{_|3%yX7M;g;@%#7#`Z@6{+Rh(n{bk8tp7fO-DaTidKBpR?<(i`H zH%HrFC-HiTTf~;JRa_sfw_)Py*gCd}ZP9UcNZc`YiW{Nt$$KRp8Arv@aZDT=_m1Px zaZE_O5BhvN96e{#(Dj)fPf7aO=zG;w=z7dW&-dNvc;}<--jCLQIPs(LakSi1abeOI z#plufUytvi?R#*v(a|1NqlX*E?$rJe`DgC63>mdU~BSU zMEidQeLj4F-nYM??f;28;?|Fq^W6?@cL#JnyP@+KgucfdfIfdNM%%qC`In>nc`bU* zZ%+E$I1gRV+tK##MEjqQ{qbM4pB3nPQq#xF^6SP{X#V=>er|<3<8-v&Gtl-}q*avY7& z^=^sQZ;P(qK-?Z@qUE1P-(Oxu&(GKBJpLQMK|hy%#sS#t$@2X6i-Xa6`=jGI09)f( z*cV^J9=OU=Wjl?~{cD1jUmNYODISGqqU&=mZiEk@_*XVLbaPy7P62zT%m(e!aMItc>;1eOnbBM+@wLHOa4yJEGbByNX}t4q>1M%(L(uFo#$y6%pii&1F1W67J7beL(kPz&ze~Z>zp8S8~3UuEZ zyjXtzw8U!SUg$V>K{Z9*T}@3R?dN^n1`v==r!C9mfMW0PDS0mR}idzdpJyjj$_jkKVui&~|r1pC`l6 zeIJGPGZt-kU$mY5upQ2fcO?BTbiF@A$MZwde?r^&6|Hc()`FgLH z=Hbm>K8dpQht% zyiwM#M1Qx~0Ik0vT7RSDZ;b9o&*X1~?t4x0d!x^TAxYm0ZGTi8gSI;s?SG%d`^JfJ zzc?xGA19;j9hmr_crf}LI}v@)I~!f63(@iy$4leoaTYqB*>O(1GG2w%+}ctGNP(edqv{vL8N`aANqNxvRF-*=aRNHe{n7RhLeJwgwEXet zc%~;lDf#Co{X(?AixOXw_|kY8dLP|`j%NXS-@J|P%U9@n|CD$|Z1i5)Zx#CezdaV~ zkB)a^^!d>PJ@-4J?GM1>e4*!iJUae;5>LgB#8+Z#d<<>pIdr{WMc3g?w7y~OV){xI=Ji9d;-CH?dGMf@`PUnl-={3d>z{O{wB=)U}dj`NSC{}q>_8K#6J6h4*a;_KTRatg z-p@hbQx>83|C?yJWoW&XJ}RxmT?hxE&!FX>OZ+_g`SxDo_tE)$gznq2 zq%TM3vjTl?H2AoT8=~#58dppD8nIE*8>9D6>%?u)e%hn+>6Y~FXg^z^`>=J~KKVPK z^E(qQcNRMSImy2=UWL}b9-Z&aNuL|%q4jS~d|SLd>35?0{6NwlM92GZ;zzIp@n_f? zD?cgMWp#8t)+$IL_eJX+g7!BBy`QF{`+X7C;paFJ2Ygo68;IKxpNX#P zxp*9|@p<`sT^-u)UTAxJqvITh{=3?O#1Et6cno*Ie-l@HQSMWHv|a;r-fN@dY=%D9 zs?qsul=LoW`HkZyanraNwjqBox}PJk9Ug}p<6N}>edu~E!2PhzS7m-X>`S~qntw3b-xTz{_crwYU5I{ue~*s; zckGNCeqD~E8a?0b(EN?D6An%Kp6GZ-py%R%#0R4N9g_G^^uC^o-SB4gzPuMV!_Uxp zeSz-px9Is@itbDO|CafypyTh2&hK;_kKf>BIOCi0xpo8E&MoNqeGu*U8|;Pczb(@@ zN5|O%Ex#=~pY71`?2x!7)+W7o?2GLwHyK;usc1WAq3xcFeowdoZTCjB-J287O?*q@ zThY&{$I(^SKm@b@{Grw*k7(tE2nX7+vq?Xn*S_y%jpH4HLJG9b=c| zZyLLyYO7TW$C^t|1HJ{KO0Poeb}qW!;ymVX2NJpCE%=P&d**x~!~`&A9v-Vp49$Kgr1 z(huc0D$(El+M?}uK*!ZFacA`V(0FvdlhE}!6#aZX4K06qJOdrqOtigo(D`1F{0q@` zE=SM9ZRq*^5dB?X?H|kf&Cqt6qwfzJq2nKl&Szpg8tv~tXuH$VdMDyBxD;Ds%b&{p z*66>VjZM5S+Wyga0Dgvju;b5VJDt$>JEQG)P24^Co1^pC30?o)uscpi$9oG}|28b< ziLT2hI1YFGrEGU+^gi1MEk6;xzm7%ca~xW4I(jb7O!`c8T<0f!7W#adhwjf4X#FRX z{u;I;{yph`p!JvGHrV6Wvj45n=lnj2C!+7K)6n&tjh254eQy4Xp7)i1D{Y9*V>R@7 z+!h^2yQFtW+!38uXWSe|>yxnsUWr}tWpth2K->8Sd*dd5 zm;H`FpEC!c<2oMw{67m_k8`jezKO2KVsstePW(=MH@+9&M}JTIE%ER1kN9W&EB=l4 z_YXSWm6n$Mtc<4DNBeJp-Y;vR``!9Omk+>y#pR`5mw@-S9#GMjvl(-8z|7{a* zpZpzS4ccFy#C_5Jc1GJD5O+=fK(zee#6yxl6s@;M()Wxb;$CrN9EFx2i}o`v>Eq*s zxKG?SPDJ~kocMrvVA2mwJS856wtqxCD(O?>(ear0pEwQOujy!iC!_BPccY&t566XQ z`-{+hd=9Pma^hE#{~CJ#zK!j0S@M@Be?_eLr`+FF(ehPj|4q^7!1_sVhxXS#`5Ptf zjDGIyko4Z@bF_c*2cY8{l(;SqjziFW8HS$6aq%E@98=Kw9*)&`A$p(PgpTKC^t?TY zuG3RVe;Tc~5WW9jL)%-7&g(<;y{Y-KvYmC%_3n#~V=#LEjz!mHBKrA1Bk>vNbKq)p z9M_=ZnxFVSEPkg)-}_ftUe0qhbUe+_dd<;swLtH)HnB50{*B|Nv1{y(_SY}*&S-o6 z;{deX-I8CI^udXDPdqdZL-%bY`hGGw@uA6|5)VW7>&V1M#i{7{PeA)U34LzOLd#!? zuHy~p{O?46M|eE(3uynZq4Rh>z7gL<_w56;pD)n$`3imC{2M(7tNmO4PTd~uw-Z{v zE81@_wEb=4cIY^Vq3!LF^gZKqfFlRgG*e_Z16aRS=TzUX_^@z@3D;(xI1in9N9 zu{~}?`fiB_#X6io`aOy7jq}lUd>HNLQS@`_ZFK!UM91|BI?qqha-XB;`lrOdU>oA5 zn&pcE3#g zRs0&Q|1G*-eJ@Hi43$3%3V`=R|Eko2R_^3%}y9EaZb7bdor09Ukm-5s7CLP-O+X23w4%`>ITBrm)6wVn zZ1g_94;|+M^n5Qt>%Wbz$9rhKAJBf6q2u{C@fxd?<=2dj(C1%sbRD-t_hC15-AADJ z|3zp&7spG``8=2W%7*od-cuG7qo)%9>>z$c+ zW;`pN9nXp9qU&=JTJMs0S-b-6cUIy#@v3-Dybe7FH=*k~53P3#`rNx0?dL(Xp9N^S zN6~VRCH;xSPbUAF#0%rIX#MAs{~~%m-bntNNne8Y_kPkpKV;}T>8-lhwH0i_Q@TBjVctqSQj*O$?=r|^hjeEy&aeSN*_d)xgn0UX$`zM~9 z_`t*mB|aqaq3Gx04D|i=a@+%dLeKr**d8}ntz3_`=<{L=bltZ^%Wa?h-sta>0~_&%MjhdRN3*aW-y4`df*Y#JA%+@!j}dd>z3 z(eV#Q``;t(8Arsu(D&fU=zI4uX#2;a&(V2_Z$sO;9qso{biMCG*Y^>098bn)(Q?nB z^`1}sV)9=@`*}0@i<7@3>F*|fKk-M2Kf&U29Bud4_*?uv{(<)YSK`01c)le5H?Ba- zRjgUIS1+y{D`WlG0BvVAbiR$z`c0C*R$Ln`w@%`9<9e}0Y>C!iKk)`}!&n_#$2PHT zY=^F6M|3C@11$D!k&fsXIgq@RxN_vL6ivy*={I<9LH-+;Dr6WY$L z@vfxb6Xz%WA+)_mlKxoIpGMn#27NzyHSud``)?$EGcJyACI9Wj@1XPi2%XPo@vEeN zkM{o)+TYLdm-s8%-|z9yr2mz8Y2tt4vba3{i`HMMQE9zciS}1N@ha%}R!_WUY>bX? zEwudFv1x1;o5yv~{?<#}0)76qLECAMu1A;TZ=Cea&~iPKzE#{hZi7DWd!zOHqvZ!D ze@NUN?SEL};c<_okBB3aJ}QomW8&DjcN`bT#|d#Cw7-do_luL_{&8|V04;w|;)4?( z8V^hQ;qi!gWb&sbJ~|$QuIsV!gg7JlC&iP|eosw&8oHk6q4h6BKhLg4&%yP$9e#p- zF8qv^UyA;ouy*6}JT#5XV)M98TsN*4Tf~;JRa_tKw>4H{E&BapC_1ij=qx*j; zcEZQdbNM(rzbE6^ZgLJVdJW@pPp#@TchW$HgRvX|30yA z?1x=QpOW}6^tpEow!=9|zcTTYiJwBhhb_U$Slgs*e@C?cKIne!l(>KL2gF_CuITe` zFuHGhq3gCcT7N?FC!ymy1f9pBaY{T4?e~bpN5-Sjc8*E>pEwPDZ#pme7bg88^z-2A z#MhwveM6j!ws$M`!(Y&G|AUTeSzI3fjVsW9*Is|Ea-18Y-&cE~_4}ax?2NY4A6z0iJpqwfW~B_5vqJ<)zg zpyMAM$D#9_n0PW;?tpk8I*x-AAA;6DJWfUXo00sJ;>qZIPm5=w_0B=p|5CJ{%i`tn z3bfpniLXN2pNF=0Tk`Kh$8`_d&b{dVJe2%L(eh8A<(^9VvuOE6Nq-*Q|JRcKdVB-z z_d~SZ&y)T|;%^gwhu+r>o0j8V18slJ#7)rt*G_uV#LW}0lX$(vEn>^qD)}2E-Y{09 z^J|;99okQa#2sU&xKZ-E#7&aEY2vPlyCvQnJr`S{>(D#-ebDvV1?_Jjx}U?*ecLPX z1oZwm9Bt=lbX|@?e_y=_ynYqwPGI_!+d{g^8a_{Cs>N=`W-6U!3%}(01NV{7!r~zL)$D(EdM5`~}+1 zcZq*M`~NZil=NTXZ|J!HO#C-merfzCE4THL zJGvf2(cc-)Mc4b{q+b#*Mccg`?Qc%fuZ&kE{kp{0qv!vQ_)yXppzjUOCSHWL`#k!6 z@V%tJA3um6qR;6s(e?c{>EFfg;}7Wge?#9}R&8FEZ-oBtT#LSc?w0i3v6w$Pj^T;- zNdBnAqtW%;J5E5yb3pPBMEgA~@!{w>{SW%P*jea(dkI?aN^~CAq5a-~j^jpjednS5 z-In}2l7DBsE8ZRNLED+1_`bvsp#49O_WL^e`_D@2l+Tlv=(*^Ij(02cJ$)Cny@BZa z*a68uEa^v}>v&?~lhF2OqQ7Tej?V8&?2L=h`8|g|-`+vj>m#(^FR|EHwA^>NEp}SB zJQrJ|>#`j>pFwE7;b^~Oa3eeot$#Xt{w_>>QM@=_5-*LHq4T{W@vJyI=~pJc3f-4$ z(dYLq@!q80A0I-;_XOJRQ|SB_q2qlu`Ag98z8&8|%fFZS{rCae@5jmiG=84^FOvUt z;{T%k{EV*K@96nkf$rNH>y_zMu_;=^+9}$m4_kTM2Tsc4S?Bvfu=XYJ= z>(TaZMAzv~biNOw{XK%t`%$#q`c1+w2ZNCS)@4eA_{bK*PE85RMbbN!*`R|$Z z5ooXgk4XMhwEi*ZbN-aXr^PeS^*lTAxoE%V#q*PXVd9I>@n4?!isa8u zJSXv0Xu0drao&{lxoG?Il73s#??A_KPvZG#x%=Y%@qzdt+U~=NABm5~$KvDYIG#zo z5M7^_62BZ@LEC#BU9UHjz8D?XJIQ}P`5&U~eulR9P13)MKcM6PG5!>Pj=#iT<8SeI zbR2)7<5(J(#eb7u(Xwp69$Kz4asAjJt`Zxf z{lpu@4U^tFaT|2qIwbCx{Eg85H%9M|9!cK{Ex&E@cSw3Ix{f<0?vuE0>=$>6JIDU$ z_;*3~sV?b*;}G<1>KLk&~>;w-V^VQ^U?eJiTD!Q&nxKfU7z8`*tk{M{#vma z+HP~S{JKeRnetZ=Cc^(e>Uu@s`+@cu#b_$Kl@i1UlZA(EeYJ zub}I+1nuV?bUofjpSRzmM#tA4i*cjR$)1U~M$2sz zd!ggnDf#`AJ^&rZKy)6%(RTMr{z&vZ?~85lG_?Gg==<9ow4W={^|>zb_3?&yBiin~ z#J9v-<8A0X?ud6K{qDr~CZ3P3&%@|?J&E@FEIO{|(eb>1w)aweCF!rC>+~@?p3mdg z=sbTx>;0DWztGRK`Wuw#tDyZiLf2~@v|j7j1szv6bX+~q?@N8reIAaEa|Alhz0m$f z#W6`A8~0B7_{0+u?~ArGDe3#i$?<@AU_2-u91lV3ABOgSL_8|_Q{&O`7_|Jc@dUKq ziOHW4Pl_kUQ_yudGx1EcopaFo=fw+>e_`@3!D{mFOa24#q4;oo6kXR>(Di&3?Qb!5 z#AWEeJ2cy{>~~$X+ZKr$OJZ=%Uj6KluTP5B)aj(SN#_i(vafeugu4iAgot=`tbL<}npyM5g zmK&7xx;PlkADVbr9FERwbmB2_EV^#{CY~7gi<8j%bqYGZqtNH!479y7(Dl7A`In*n z&r1Ha=yTu>bRF+Z{yp(NwEf4>{do!9hu0E+l>D#J-wT$b{jJivEVnwk4r|87Nnac7 zuW8boCtfG68`q01V$0YHZFhrM9owMiv~%K((RJ7yop+D8H9C*&&~a>^ct^B+|D+Fy zyP*3pIPs9gd&V*7yeB1pf3&{?(dXnebbqF!{ho}D|I~OoI*v2qnQ>-3E1n(CLF=EF z`255dqWxZy__BBf+WxFKJLy*@zAEuG@w%j6pZG@fz2qVEJUo^3XV7*R#%JRqbRAzw z{Azp+UB@NpINyyQpr2pgqwW2Gb+~<-a$R>u=Q{wcH!#+r-&04T^+uuZO{b&leRk5% z!D7A8ab1c&2k%J!o$;=Ccf1F^KORT>eJbfs$7kZg_-tGhpF{WirNl4CSK_PjHFSJ$ zBz`mTTZxy%x6${LZ_)Amkn|tpPiQ;8p!5F|Ew?o3%i_OrrM6}Hdg%JC94lk}ojs;x2Jx zbRD{(>((dfebMqeqwNofyC#1idQNvo$F)ZsiIyLYuGg42HtwDL@o^utoymz0MC%=d zj_WXV97m$ht>Y3;N6VcUXT+1x=li*6{fp4?ToNxs>s=nNh_m8swEUHcuR_OnL(*?T z$1^Yaw`Z@75y539B`|L+_TtA_|hpp1C9LK6?`f73YxJFzv zHp1e)6rF!tbRO-|=k8|cK5d@#Ezx#+#GdGVzkT8z&~Xk#>kUTR+a0~%_eSfFi{sJx z?TeP%FX@xeb`MGV6tuk~6Hi6kI~i^7lz3|LPe)o96 zx#)Sg9o^4+(Q)2~elEX|{8!`Rpy+iDX&THe?E$Q9S_O?j8W$Y1qCVy+R{q2&z zecS<^XJ7Pujz-%XoBX}wIJEx0=sq8q^n=jx9-4ScJPd8;hG4Vff8d~qT z#K*@I;`Df8oPqX#O5#(|`lly8Bk|05cGAyDd|u-7;|1};coEv(C5bPMm!aqMMl9Y3 zlD;55jMjTJ@niAv_(bxbO8hiBk7twqTznzEgr1X^<11+S*Au@H-;9gnTX9Kz8?E>0O0``-pFw_Vb=k2@rNN3>j@r1y>e;!er$kB)a>;z7x; zi-Y5kxI0>Y548Oeabz5g?%$ZidnXcv3tW?eEmYr^VCb8SzZCzq8SCpN~EdFH8C?w4FKVc&|)+ zHCq1qq~8#4O#aP@=f-*QmUt`L?(K>1K%dvoCSHX8d(mg;=gp7k?d^OwJ<)a83+;Dw;<4!G>^^b-q#uCRI~*;46uLfBotO0U(e^Gu`@1aZm&YsOtT;Q)iC4y};??mQw7u&RUmtIXH^!Ud&2es=7jKET z#@o>O-5Kvm`n~A+eE{wEA#^>SO#V|ze+HfJ^JqISCI994N_;iGhPLxg;&;)0K1}=( z+TSOMKSkU9BJr2;E418y6Mut_<43f;Uz7e@(*I7pH2xEp#pUtexFW99Dfd&X7gvsz z=r|fAUL`h+tH#yh>T!*@COYo560eQkr|T!)0ByfIacgvb?a_LjlimeAhuzTsE@LOO z+%D+)?S`J;L5YW;?G8=)usA&Fd!qG6C4F=p6UWBA<2ZCY6VY}jC4GPFO?+$8Z%4;@ zZ}R8I`_OSdh}K_#w)c4AC(-dg6`zjJ#D($MxCm|M`NS`v?Z2G#R};UH{5Rv`=h#0Eh`YpH{m$ik-1_MEg)Zpt z553U)a(nbX-67V*+T`~^|D9_>;)!UxN224Miaxieq5qxqrRX@WPyUVQxNkxGxi#K~ zj{6DpcjXt8{!)B7zJeQ(|5xI_(f0mD@8`-c<^TR`FLWF`p!t2!e{UO?^nGzO@ssH9 zDleeFn|+AIa}*ulr%C@k@gK?mJMq%^Ph5ts!@r4Fp#8Smxcpr0fWCihirsK5+RxrN z6z@gH^9b6`W9a(6ocPuFI$H0I_$E5;CCPsWU5}5j6RxsJ`G3!2YqbAbG=C>_opwR% z?}oNJ2wjiyxFuei^vmMq@d|89{v&9+&m?^z?nJ!irsaF;hG>87(f0O2=Qj#nhqKZB zzXt99+IU^O9xZ<(x*qeBejmDCk6|@_gzop}$^RmLiT3{;cE=4iE9cu9?XL|M-zyS# zM$h4v=zY>V>3z`l`=jOS(BD<}L+`VhXnSX2YrG9zm-*;>)nn**7op{zL+A5$;&*T( z;(A@neQAL1%c|)A9mt*VFnkcL{}8$^52NFH0{z|bt>iCB`uk|VU!di`ivNw@#_!So zenQ*-8U3EOMz=D(F$zNa_TxE+gUKj1Z z1=?TB*b03v9GZ9vdS9NL_!M*;=O?}Z9p}a9`J9c__;B(c!9m1pY+3fRW^9DkYm#`a zxHdYjW{I08UN`Z2u?6~lbmPREU|Zrk9E{hX_uozExNb+=y%U|!Q%Qe5=`W(|@KSs^ z>969(q%XtGakC!f=gYR(o_HKuZ#??Bb{KAj^U(Y6UUdH+M9V#t^rzABzlE;DJMn#V zy}I-)@6&D2`a7WKsW;kApV&9){SyyB%MVKW?&vy@}Hpl|2_7`u3MGQo2}62(jatRc3iT=KG9d3%Rq4mE; z$NK~NoLY|dzamy_UB)Y;<7t4d%W7ypt7A2GLC^iR==(r_w4Ghh@`KR&L*g*B{&4iX zj7~fTUC#;V{vMw6BjS;0d&i*lrlakigg(cvO#Zd#d(0DPxkc#tcpV+rn`r-w<6B98 zJHDIr_t4LYFB5--_Wy0-@6i5#MBDv2{+jeZ(DF-@z6|YmdEym`SK6j*XJs_MGS)}e zV>Pt>HIlw&;>KwIYbAYcw7+!{uZz}e5nCmF{kTEgFjk}G+azv_w%-A5w{zl6&~lq4 zeRFi&Tf{A6kJvMAg|26B^xXBwo$x&LbM!K_oy*boXQAb;N&2<%x}?uV$9F5bPIsZ> zoF5;=KE%t>cK=2DU$s|x{;SdS*0D`&i^aUradbl4-z52)#?8=i_e{K1+&XT9*55Yq zc5!=jUVRexMa%7!c<0zZ4nW5a&TpW+KyHA{$^!*a=pLlXSARZVGiU-F-;-PU$JS-lL_IG6BqvF(fbUX$vH!bn8 z@wj+=JRwexC!*)+l*FgT)8gsz40M0aLZ3GmCcXsi_p*2edfsNC?Ov7m>f~RGo{O84 zJ{ODgo%lAiy*uJvNxwVZ6Yq`l<9%p<55-55{utWc6KFqACtiq_e?IYx@nv-Uub}tC zn~4|4x8jocHroEXiQkLw#}DF%Xn&ugn)mMe;XDydm07YqWm5 zq_;=+y-U(JMay+XKUZrL_eT5MDRF;voCDDI1}5GOEjJ|b?r3|%5)V(jXWR>&_jt6O zed8pw{r%(QcmTTohoPUV$D;L4Nd9!RzZvK_PEGo0Xg}x1OOrn<`Loga-iFq{1MTO& z_y{_lN6~hlj0@58_(Jkuj4#EP<16u1^u6oD#2>|v(SAQo{24m0FB5--_WNz(@8b7K z{~7&!S%%hIk^GgmE5}`dzNa-y+&r#>mT!@`B|4w##I4bBwN2a(E#DD6H=87VQ*>V2 zCVj`G_l|wg_1_h3Z#T4^!HIWAzekQj=ec*>2kmEaJQUrBDQNv8;?$%c9gjihaeVSm zO!|y?5;~4k5}%s*^u%W*o|*V8w7+wcetyy~NczQzFG+lP;wuu*LC@<===^R$`@apH z&+YM!cxSvT-i?;OH{O@@`{M)g!T3;I5Fd_@#7E;}@$vWs+RsyopN`MOh4II37gvszv3_iT?)MsTEwr6xXg}-3_0V-|5nH0?t8Lvuuh?UwxR=y|P4T#L5fJ8_@b7p=c@;{I^}T7K8W1JUy~1U<(ilRgTI^PG5G9FMlU zZ=96${n2(0NPJ*CC>|USLCZ}^d{{gjJ!i+E&##lwah;L;GtqT853PSeyeRn>qvO3i z@fC4aoE_)HE8|sYd)Fks79Gc}Xn%Jn|K8-!N5}VY;z#16@v-9{cY&&EaZ zx%hm1A-;&V^KyI@UH>@{_kH^o%pMdzjajJ#AVo-UaVVfE46l1X>L_FE;U{% zZKe3D&cFKDRHc1XS-5HwF7>QYaS4~o6HMEVOS9fw>O0lPcIGl{C&Rv6_L#w?kH1 zneO5=y@5-WE!WKBQfbSBom*4qR_U~AoY8Qbe`APgZco{Og=-u}lVTw(TzjEuu27Lt zVYLc3zS_;JG^6i!{^kBwI-m;ot;YSRoXn+(y%ooz%EQpaYBi3u#%*lo=2iT!a9y!) zMUA3)i&PfN?s=*5QoqP>7*$2J;$pcP4_vjwsBn*p<|~T(%^Fq3xpF{NZhUbBs)};v zRul~sxlX3abuQAru=xrzYKoKN;?#L8sy5_O&yiMIxW)rq%)H#`;;a?RX_50>k}CVC zv%Oj~iUljDV0$Oq-q2ZQIOclIxl|RqU<1Xn7w4*py;XU_ipN8-0hO*sWoy&AaJkth zLro7a#q<}L;Z%z|wDtruyfkg+U&U1Iqw)bRRTggIrM{P@rd9e^aT)fYe|c%zhfBj2 zT&mXRQe#?`m%hbeJ;}7cz z_Tn?A&sZ+CUdrR`=w}rByDfiJ%rwK*sH*Ye2u?Sn=70BK?dgQ&lXVtCJsS4E&R0w)toGSH*nMl_ z_SF5a-)8@tLh(?jv8gH_1y#jfx&bFT@S)prsj1;oQLO0*{+j1J>JQ{Hv=5i+pUaMQ|DL)JC+xnR*f^N z^zbinR4Y6~m0h?@cUsN5bEz(F7gw^nI3>k?IQmMvtgPWu;V_CvWbqMQbX4P1i$`hk zr0#o?p`$NGRV-|A*VarYt-`U?I)ds2T$>1bu2uD|Xt0 zG{Xtj*i=!jZlt06*4K}$;ub0%Moqn~YWi`h8p5Tx-@dIhENV11x0#pqytMM-1nY{| z6z}*78(mRsg_q*c)E#F=OD>geKt-{6esq)%qo(}T%xcAI)OcQ|yPU;ZRl4joHc+$Y z|NX17*ui4vPIZ`PqgdjGZg+)iP~P^=xA@ep=L(h6a`TE!u5bjkHC)Q64&|@n5qYsU zXK^nSPl4$N5LP&X;zOy*r$Dh$#d#?|^E@==>N<~#8@W7ZmqR_QO>4MR7L#@g72b4J zEleA4=#mtl5PiJMns|fle7=UX`Z&`1jkr|VK=CP5eC`+bOzm{i8oJZP`gT;efJ@Opodc?D$EB%hO)OVaAm~u=AZ>{56BWnz}trO`B0XjEdv!;i@vNUU4V;bSxg`mF`)Lk+P$WY`Lgg^jo}N)fCPDuhC+p#lqGWyJg)fA4^TW z6uA{<^eI9wHC~DpDykK^l|@D|3?F3Ei?C?w2EuYHisdw|cp^1%q?N^KGNYau#XE4t zcKlW2VmCR7OVu7+>O3#SyFf9I;=QhTfvhZwY(j3Q<`#BcYA&(xR$QjrXmJ?Uv5!v0 zp)sTQd@DA-!Y4@a;$Kyq@zI2R?5%hh{p{JT>SZ|Di@8O{FuR;XPr zeUIW&JieNElQeM{)t<>Zhta?-tMTO2`9P`j2ox*S$yHm&JEiQ>_KF8>vCcb=B&>gk zxjuJmHsCUSL&IaaRC~h~uP(*v7W>wxcs~0;Dc%l?rK?w*=eZX4{1r=F;bfZHeDPXQ zyi81Y(#3O1`=o}8ar;9$}aDyek@R z$EC_A`fA1T8OUG7%Tvv4{;Dk2*=mpPW9U(tzAu;ZdqAiRB3waZ@Y+y0&Tt6}kh;UFum*2a@ltZq}!ONFPT?@e5a zeOu24J}CChx!vK6>iIHJwAZksq1)K-W-i6c_O*@pYnTgL;SEu2=qmPh!7f~yI_YA3 z#VdAkfCt-r9~*6EAH|ows#*M1xdWF|>|-_inBLnoJF0aU^W2_|olNoG^rw@l=enFc zl1t6iT$*`D)r{gY*z?@SWv{xPOEWjQ_;fD5u+@2_rWQM0>_QX5!QO+#tyX>|JDRY{ zJumLOKA!R7ou+1cGhC+P-Lby&C{Eat8vZK3e)%zRqU+LUm}w59k9`z}wfK72&}!42 z<*@&)+Bg@i#szCS*}n#HsXUEKc`Ozfp30@zGx(_z%j;!$xN~W4IJI@s7@| z_$-@Vte+>bb}E;7&TW`Ym1{qpzv?@TT1QaabpP+8qj+g6`WN|(O$~Q*$t$5TIO*M0I%Jv*u`S|jdEIx{gZ&~G? z?8zx^h~mrqXukkfb>>p-1Uosj(>Lc*<2e}WEneg97f+RjSNNA3U+KD379H6~)0+&> z_Obz&)1Bq=4Y?GrV8!|kIDxQOtKzX)<<=Gly=!;=s%J;VCRcdO>hsQsfq|jl~C0@oly^G^@Fx zb#_!d>dP7~PQ7|uDm@?#U8ZVBRXkMdjrA{|KE>J>?`GwS+sZJHXwlmYt37%km*NXs zUo*bl*4!Pq6z``syPE4Gvtp=eJ^+f}6skP@m3wm;dYx$#z3j%NvIUnKAMmxsevId@ zVeUftvyE%j-aEcc@o3qTzv{br^&Hwz&sFg>o9<~ZreEoT6(0`8OLTEwhI(Eq{{N57 z@|TWYWHgy)UE3?SmOsjGZFN3#ifY9hS%YE&d~DVX=ThZOQnWJcYW}K!4VOxvIW^aE z8CJCHnih}d|F@<~E-?2TF2$3&b^(7CkHeu(wYg#O8%2#zxMucI=_xMGRZVfOirw;2 zU;l73Y^oT2UmG~NSn*E$RlHynZ?rXCE$8UpFn7A6FMdoK>>$hia4V`^`(n6F&*iV; zEv-16HS3shzG=n4okH=NS3D1jC7$XMpY8~1i=DRRsxDlLkDa3P%3?C!YSX82DTcf2 z9{g2v440-J%zDMv9%b50F6CD!3pcUl^0jOm{ucX1MHT-c_?xi6l|#q-KXRdule4zk+YwD>?P z-ff$C(=~OZ#b>~b?fI+RfPwr~;Ul~}NS=-2Q@8w`a2{d#UC8;?cOE-C`m0^5p$?I5?eJ9r3}9!De03z9 z^Ewcxg-EsU2QUR1Bv(MPH+Z%)Ko>daLHpC_=>Q#+_S+G?QZ+afSZ8g3mC5S?#6lCU z3K`l^;BtgotCD7MtujI*iCuTMXj0R%bPO27@9`}E0LfzkuuM?NGRRaj-WqIWI#&1f zMn;Uc&3IF!g9?U_xaOH}G$b9*t|Zs~8NnUO)z{*gTA`DrS89+=xp%i9r(BM|;oR7v zYf0p3-0*h!c3|xn$&lSN^aGmg)A15sCL^;oFk{FoZf!viT!Omlt*LYa{74!KKgP($ z)Oi7VG~R+FEf_yOGr*Y_2S`?ccb(8wA*a++>A~kAc0LoJW+Ip{n;I;vo& zV8samoF<%hT2%TqO*j^$_iTXni2+*A1<=|KkRjJD-7f{!r_VjaN9(BLVB}LDPJS2@ z)XQx>8s%D;7A3-{{Q{;%_H@wh4Ekk^{0?ZP<2B8o(@+s=V`&RWQya%ied{5`5<-c! z8*eiF5(Cv`SglO~vCUr3R8xY%-dRq3aiKNxLvT?4>d3OS*tzLUo4_u3% zfEm$PE-3<3svLAB`?g4CNQ6s91=C(RZ}qid4^RXO70cFp^hhLApcXo(NRi!O2*1O` zH@b!*^q>XR3WjP_GEE%{mn`EoXC^~KGGO;r@oYttxAJar2hSc4&_oV0M4&_j+K52* z0^k_{+;Xg9)d5^fc7Hjr^4tK8a{?&*O<0k`im^Hkg;rBbhTQ9d{pifV`Ue6u zE(o9t=9<$m)r*)Gcbu|c53G2DBJ|z~%|7SwD8szkakWCaIH|i-)nWM^$a!qjyc$9YH5R2saOPo5A^NgsLQ7}ad{5)JJ$k3CS+8bDlhKw3~ z9$`>Z)PM$bX|4)j*VMNTgLWb7G?BIjwOo)%Z5+bOrou&ck1!Z5aIL36rK2IwY!|9& z9_r%)bL3|;yXZAvhU^}Tm$5V;m%cdby3Wf!$g>{cB*3WvDz%d>6=zK(8;DPZk~pXA zprJeH)d!Fvz3`eLB)j{ofo1eQdnZ777>sdb>jEtB+E?h+41LLAiVM^Ugmn^L*-+Ta zv&qc?+EhQhg(9y97$Z&X#Q+m*(~#=>b$|x$hwfIFHl{WNNFE--+Cf-LO$Ho15$^Y` z6gjP_Sxeo8tJ82{a%TXSbIyZFI-lYh9dDvr?hm$~4a~4thB|jpXXBWL!K*Jt@>b~Q z#)txP4LovUsUXQS*wgI(0J;@9!^-JU+8#JNFjc7g3eV88^(@ZZ5A|?{>(Ca2aK+ND z1KV;=?w=(08PQ(kw2hMJwAscQgTXlQf9r-njDQ)x}(8EkY{PQm&6^qq&{0wjj)$C@`n0qB0J#vhToYgc4!XS2 zE0vO38s}dbs#?iVJM<`h{&l$8=mV6xGXpag-lb;OI2~BA;w|lkux^%AD7#yYKcdKp z`dSzYje@H&iQT5=3H90d8p6&wf56`(w+CWLXblpb+q_YO!2`oQMa$f)!bAg%y*p`C}H_}><a#-@}9t)%hY`tDmk^|s+A__@;b`3uHm)i z`TRZ<$LZ4@tdfzhemsCumpx5kI`kqWoITUV0Z1l(K%ow8G_DGuWyrvc3#3}QkvIh$*QWx_jZv2oJ#BvhfUH$721xHR@^qG%o(>?6Gx5A5f`d*^HrbnwWN#)w zYeN7D+k=Svw*;sZ0p~{hOb@=T&|Dvwb43O(+b@$m86ZjS2rO*}qxSkp&W&l!{&YMW zFtLnbs1sy`2k+`mKkR6@Iw{GeFH55UPUIp#Y0k&tOWM1XD_M^E{iZ z{&pdq>wqD|$?52QXoZma7Fx6f*^6#FQ}F8en)%0H@l1Edm4h-~ zAQrMVIVW#X1i4??0dy(tv5%4=B%8Pwi~&xg3s!Gz(-W5t-;6QdgHbg-GFNSyFHN{s zR1@yJ--2&$>Lnhj_B5ngY1ceNo-D()kx}mpAR$u!po<5tTvay69U{e=k>inr9NOzB zRrJ2TCP12r5r*UyV5>BO+VSJyd4_@+6-sBkV4eHy-5Bxg zhjP`wIG$)wdC43$MJPC2TBL;0=YD+oPNg zhP9}$R#jp*_EWvHMt%n6RL;i&OFh`Vj9o#wvjTkT>;RLGlBA&t&l*%^5V}GC>`)(e zXIRYfa);7sC6ePjfDTpa3*wVu%~Y_OB1&heT#G!Ghc7ieB|rH8(1YdI(vf;K4`7g2 z+7C4pJoEN|=BD~`BsCesLttv{uYh5AJa(y#(D$h^RgGQbKK!>uZp0XsE)`bnftrjY z&Zv?rTBcg5YN`fBI>=BGTWV=9%WhN2R?uN`1`VE|_X^u?&|jY0;%7zY-aF9Uz5!uL!JjV*uyNqizF(V6F{n43xH0LL9e)+o zWNXe!USp^ZFsIT=?k`u`KP8^cYuuoHx}kMhU@r08-qT#Wq|G))Mhn(@O(v@-w+-+? zKo4*d;8Xziz;*W!s_FlY;hS=0hbB@?1z0)k=0;k1e>`*P z=3e07%}DCG6<-14-TX5F%AEn6dM8xcG#4i4uaLVrK$j6M-5kKF!$YWzWev#hiwq~t zTuGFs$W?|Nzmt(0)mSSAv0W5a$ieUPtb0*_~H>j1V!vOzKluy&WR)o%vS zLpF+|x9L*QXAQ-ccDo3_2X_CE`bx;YpGvR9_czF=eAUTJeD(%h-jn^ZYf)}@fL3;(=S#5MVg?Xco5L&JU zrcR5sPm5$n8E0&_LQ@?+Lz5Lv7U%Iy_1h7c@~2^x&Mih+Q)xz3`Wr*U!eGq>ywTo8 z1~#msh^Br&jQtA#59(~z|ppz`-|EU>YH_JfprK7bB}gZ`hftn)N^nKqW1R~FTU zlfyUSnHL|6vjR)uPx>;WD5G0xoq_;+`l+!quoT9H@eiRF`lKPX0T!c{S;9} zeu^Ia9O|YcuXN3c-d%ks>u2R4B=NXY{$&c&Qy0OutMUEr-SMoW66>%yz^mh#p4Mnp zV99xc6$8w$W=W;Kdk}uJ# zxy1naT>(5CG~l&qXkY}gh3pP}4cYBeb3qX|&6Y@hxelOe)bMxV7LpWcJrv+Hdg>YV zhLbY-c6M?5I+C-2{xuNH9%M?J%i60tMNxm1<* zj(m=e>txA6BO)c{!3o2dn^vl`I-VI0GMcE)??YO!-t`RxqT31_bLr5g>mg zfPS_E+)vkrvIohjnI_zaNVGpYk{)k$dT*lB>T3Nw*wX>h5j@)Pz=omNqh<1E<5><} zGyp5U_wOM-+S9IVMC6;N1h5-&rg3p3l?dZ6j@&akjc6V|m7~}P(in39ugU`mZO!Y(a9R8IIYYtvI{CSk!NUBqQ;wAPahnLfc zciM56jf}jBcxTu(*9$4OM19U`!*2#wK}1>cU(l4jh;4tFDXnuOIgb=)%(dPj*K#Sl z!<*unKEG#dQdn4;(xexn+<6>cN4cj081{0WRyvP+GoHDb?Ue9+*sT-OSC0Vhbh(P| zLd2ThPnd-DO0}oWmm_IZTwPedEs`>CG77AD14*iKhocYe)9%RM#aim10*u1m$Nc7U z&aO46wEAFxa#w%}tmsiV*#q8a$_luUVTL^x;JR$WDxumMK#q??9LiPoS-El6%RJr)kgr|dT6iI48%_Y9$ z;<^A!2&=f-Yfg9D#G)UEM}u8gkl6D{F-M3((&6 zsw8pE?&2b^$=DG<$3}Ny9tOBlTEcRv0X?KW`Fai&HFa{RHiOY!H?PvnPHXEmw5l@{ zACX*HX^v5B&9zEA3-gi_2)8`ylWhuYiPt{B6r+97WlCxfC1<4MgMqmOoyBrFCl?IC znZyN=lD(uZphpclG@z4zPC4V=E##np*u5tMxb#h~3thV&%hg0!v)KUSI|F!9JME=D zPx6@nn*XEdm8zj>{>#_NMQG*_;0ZL%9tv=p^T)C{dh*A}j)xH1$Xc@Z(4eM&=_ux< zffbNM1K<2;V6N3ZM$N^I0bD+$CGxgNI=eKFBI6|hx{xC!LkKo}F+kJaA0h+7dURZg zaJu_J9nWfLC7Bwl0yE5_V|_c4I5|0h+ad3AfW(@D zhQh_jy&R)Ed2?-C8wj|9**O+m>S$TWl9(1Nr! z1~x?-GmK5KsG)s^Sfs5`nBsXAErYZgA|M`v)dSFCdO%=3)hDB+#atmGoot^PpgbkO zoogtEh^FmjMy@jRa*$5$uL3w&jn`x$`=CDJ$XGllz#PO*0bT4y@^g@(!P5csZql)CG}(iOhWYxai&|z-C!NZA_2@+m&I!W)o9!aJBJUBSDEG2!W-sCbt z$-VTxr|d$%PpSde2PO@ai2kNXPRnyd;4Xj}X;<~yNS=mPs3|q(#*_GSRQerqD@341 zu3U3Er_|(rjV7J*hRm=Y!ukS2v)jVZG#z?`Ov9Z4j3Vll8msrDlRE?Hd=A}Eoppfp zMUxOxRa#fv7ML?hb|aV>4!Vq_a-hGVI3{17#+x*r*m!AR=^nTertHGY%-KpaN8$YW z0BIABnMq$%N*;t!PRE~=YRnbddpTXh-|9dB7qTO2{<&JK@i-L8KHdFerde-$8s$`- zlS_9iMR;xSPypA?eTcmQV&_UCjIUP(aOF^aCNTBV_`TbJ>68FHO>dNexvjlk`q4&7 zEt<%sZ-P;M+Kfe{T%Q+r1!hpuyMi_4y88mCB#vWnP9#$hMlRrSyKI?(uzFP*bC>#~ z)jZo1z#x7OHImWdnO;y6u1XCLb}S)R`h>0=H2PLwLHmL}JNKj&8VvQ=wAUg#4A6kV z5)+2;g97pPP^$#X?ulf!3jlj;H?IQIwer~*;qN>}?&SfDzgR&BbFIlJ&kD>ic+CJk zGLnom8O7NFRz6~vHeT^~+*y(0852f>>J{L=wh7{>#9mgaq4Rq_pe1XS2nLjvmCERSt@fZ9-)t!Y^&w@^+-(U&38R3jEDNt3}yY-b!p z%D?!{6$p_|>AeB=Y=H7aUZZA*-^VN&$+95>uzFQB)f@t0~eB;B4Ue z$u5=VvjMuWLN7?x=5Iz)*=Qn;-W~2<9GJldm9Bz*nij(>HQZNC)oxGoDdXd}d5w`9 z)#y@lzYfq^_K_5M+3nh@`C8;Ucjp+W(;3?qltgK7QNc)spa(MugO(xPOk{wAaR4dV zTNPLdIURJe+1EyLH4bUhu00xnXi!?nLAoBM93TSv*-BzTrL6}7 zC~z6wRi|ru>MWGLw~5dg4RB?X!OMmdJr(4S2N*&tZ$u`s-A59k=`ivpgZ7${-jatc zlWX-%WXQZxO%bLYou`=%fw`D67-G!QvrKkeiIuC)q4rtsH|hAK5fr$(en%;^qyf2Lp5a1=Pnv5M6WMlzY~}< zV#zoZxHHkMdM1EN#?w%+bT)Y}8M6V(djh1p!}QNUPYD~1<{6IG?zW+j`a4Fr%%~BS z1zO8^V@UEi=5v=z>QS?fsJ@GR zNg=5-0xKbjw;*Jm=5Wth@$6FwSH{TqLqE^;&9Deg3tr|%S2mNE16w(gk+$L$ALydM z`MtxHqYNo%f?0BG4aR1mv820c(-uuB?hlY|N0NnN7g9h?3F}9Z zJLy{Yz5oV24NRx#%w6$JM!9fuHP)VsXUYAA&bI49+jbp-cUJriYZId-t%{4l(4MIQ zuR+eVPFC5eD#ddUGfmnQg4w$yK*4Js=xoUa*fT?)4ImCr32dJDfg2Q)=K~v}uxVX; zHkggeD0tMy3fKc>{NPoQ9G=fJjFumcOZ!$x`^pzylG6syH&B(!w0G%RgZdN@Pf|Kt z6;zs0siNm1E-hpqA_K?E0~UIqPD=0DbKu<`lGCA_{BZTDUV7}P``O4yn+#B6mcl8L z&+xU>C4=_!X{wbg*IHsjFh9cU#l7VJF|3vFcKh5&rpPu@G7ZlqSUOHgYbkn8eOjM1 zsl)Cenr9DwfW*Eh5=~DR7!SAz8#uO(;cMiDlhaj-5z~1Fnz}q zWP6Ch&j1*&0imTju$p&`OXaHqllH|%o-s`rp*jPxFqZ4ie9u}A#j~8Ttpt;nPUjg6 zNP}U#qmKkwpwHgV^D6P+cFt1<>6x93#7jklo=AnGKAKI?-2fK^yC7mJBnj znOlhgXs(ljT}$q!0QR8%N?jO*odU?a)_t2giu{ie%o?*h%w%Bsv29l_Ur=LB& zE|SM$k?x~rYcVdRtd+O{&ga8DVAT9$s><#S;1vBjJkoYHXuN^w>0at0+V}#_Q=h3V z+2YNCrFiknWZV-VUjm@XLkQ+wqj|8Ju_=yTfJnzek;HVb=(WJy9hrjr69`tm7+|3G zydGFi^%)r&83TiQbEz-;$Xy433l4DpuE2~{9gl%GD5gu7?V%hrD3JEF!nlBEh{Y6b zv@!M8tPi3Gl|+DX7*fvbz|yHiD6Z(uK%p%Z(Tt>E2o233O|rYDh=j;cCRe@M=Ze?t z_}nInz{_iqKmC{Lvw?Y?!95$-Od8(_W2+cZyADv$+Hc}I&pQhtb=B1Y+;|u$)EJ6+ zB-TwDk5iWCN75l=TLbeWHR)d4VkFCp0dQvUsQ}K1|ATUHJ4qS8D=@#y?gT!$Et1Ji zempRjWc{Zo{BQuz2BbjBBb0k4K=WyGF`J&)_tv>ykVo7qxT?PAvtod&|H3UU~Q=ZU50m%AxTgsH?BL7WYP&RhVdD6QOqW50`n+{bQxV3Nms|( zY|A+a_!ps3cQM`yvGC$WUI#XVU2B&CDrlfD;E|D^98VHW z?pztbpvmO)!18kgES?i!X#*JulDE6&kfC9lB-%5T`OCCoE~IhiF1O-GQ^6Npbh&JKz=RJiUB%n*Z{+3suP48JWU9|$b%?CqqSQwRE6 zLD*Fa+!q5Ie>s3oxnBjzPK=}~K3Se;{`C2Hw(^k>mm_Ijc##S)GF|41@u2|P-9Lc# z*C3t6x&Sx68K8SyfbYShkHCtvmnCrlrsO36ihEz^GK6r?mH?A$0;KQA^#l70B)c~k zz)7xv;w6Il?GpkFq3-yG0DXvUWOgsY>M_pALSWv3>3tmxVviwvwFpq1KNXm>WO;31 zKZN4Ly8@I*@#ND1jKO=}Y_cnoYWL*cz|vtdL|ImhWx%76EPp+~erWHkI}OD>@H~2! zXWIjeA$tzRJ%`eT;>NgpPm}vXfD!g!0I|ITJ%YO1A?)`ctZTI+Nc*3h6`(}2J&w>< zY&S%5fME7F23U{$jV=h#dpUqJyH_x>-I4S_;sOETf?im6Fz4HxB|8_*`XN>$hM*e#<0oH#wKu*WAa{~C~C4-)RAF09c{bce4t*9>y@DQ~at1^H+ zKt!Dkf6OTDWaFN|(qfMe4dI(kZ}FwTs(s|b6di{*sc*j{rz*cWFoRJwYF{cPRM2Nw zX`2H!{*>3Q`$T{qulezP50gpu;?{W9L=rP(a&TXO=XM2br07Kf+ zfX+r18<6QnyQCGxn1)BI$HIw}Xss0PoJlB^(Vb@18t+JN6-#j^@E6|w$tH4b5(!}89$7fqzc5ey_NwjJ2**13+zfB`O0pBq(Hx))LY8X1l}g?t!(qYhvQ)BivzkrG2| z85GxHDL)?AE{3INZs@*&zBwrw)iCzuINqh*igD-#t!D@Y4V|vT#}Lw|WT2_!oI{F_ zAUU23a%{Cs-a%p7ZDP2qodG-pqyX!U$loTz`Y*J*8PeIfTjKg4KcijaqI$0l`l7%c zIuMxuhtYAa*d9qgJkYcE5bO|Y@6K)JchHTA^!y zB}p}vz+W-<20aofqwn7 z1NcEC_J9F4s6bHK@imbwXh^B^jPS~-rpAuQFupq|!LA74=k?Xb z%duug!5U;3EKF`FuXXA85LNr!Edh+VIomI7i)8jv0KYiVfGItuN=0-@`vc9%8=9|<7U6fV6WJ;8E!Wb|ObzuOdG3>OUh zYY7{BBH2Xhevk2{$O-kyU#TnET|G_EyxVEgBit^V^&|cQVy8Pv&~&mhfI>5p$u#~N zjSp;`3jS9Z)r2l3J;>?+E_6IPsejPdM7|ms3TFDq)Gd*09thwD&*Rqywum^UiQu-t zdY>ctMt}z0aB?sJrny$9JM=|iy^*1Q9erD3YAfj4VdTIq=k+H9*1k1>C&l)XyZ)*G zO00&~50UuaVmd`e_%r|-bLWroDb%tyfZv8xiGN~~)OUp84{2Pt;s_M_YX(>^o11)w zB<=bwpW(}aJX~?b(Z9}fYo(AO1&kV2*HtHAqR|#o>4@sOb{u5O> zL(K7p$JAU+NCS)XDWZ}r!bYF%2kSGKG2O5NFYJ5Je}VbUxjTJRVs9jW9~0SUFvgKQ zY;*(;4$*E2riiMX8m%FNaj2(V8dzNikOAqgzRvrv#@)<#{oi71VCCun{?F9-;=qQ;q5A5`%~1u z-WVV)We}t#nyeNAbYBb5qJL=}|9W8hlQYn&1MOW%OptM-Wx6;cdY|19pt&o6YoS97 z-{`&{|21aR#qpZp3(Pzmz;gxqb^UiDnams{ejX8ZN#R1VkBH_7oF2DxkF%uTcbu>~ zZbFC&G*FtHr?tS-NRHqA9Y9?v=`^9CRpg6tWO$A&#o^#bjW8IJs-d{kn7h};ca7?H zU~O7Pq9i5#bM@pxXFbBIfDB=Bat!Ohe)pOHhNP0)2m?CX0!Zh{vRmO{p8e3dkJD@9 zT@kn+Wm0wRke?Y!w^r#;1r4?%5m_BzsSKdmG$`SxS$AF?&-_o2Ii@1RI|d-6n*ZG9 zmfz73cBmpEAl+L6D7F*Df?-XhE(H6{lLM&x2E|I`U~qo`|BS=frvK^Kel(tGXuD`x zwI;wB2tx&(z5dci)!cke&JGgcZTt=#G=SJaA=LQ&j|FzZx&SXTe6JU8fd*GYgRkxh z(5nOZf$N3MfywiqFntyfA~`^Vz}m=x>!??CTw%qC0agsqdn^YrHyS|=g*!0L-Dx`* zIsF-Opoh1QUOh&yz7PGJ%8h~Mk@}ktC@@d!3)HmcAw{PhrAZf2b9j&*xUS9Ufg``0 z>is;AE2@GbOHjzI8P5O}>KlYL{5g%}bP!A<1XE`PHit*it^@e5B;5}OmNx59cE9Dl z{=&c-6rRWCEL`4c`s5v_iK+RsT8qyapU3tK< ze{LjO=Kv@-*%)APF+e&J$!p2$qx$ms0Gf<+`v)m8e0&7P-+WPkbVYqfU~V#`=nQ75 zk9K#K$apS*c6S2vE`p{@jI!PnKwF}Dy`YYy!4P)_4%$-(!@7G&8)G;l4YW<}a7e!f zJ#~h7n_i7q2QYS%4!SF=6;_f=rMNm;c6#-9$H_J32lxnpXy>n6YV z=sbCbB8LL#*qn@vKY?&PfYae>tiCreL;Rj$&S1)l=hi}obg_STGa2+geNFO;z(%70 zW3(~FpCR#|Q*(J^02jf=K*!rib^}ze1xW6~>wyg!Ry`ZQv%ek2=H|xt8K65|qkDLE zM*u_5?rTimh@`ejHs)WT2p&N8*#MJg1C%H7OpU@y8A$fX*XU_-UkspY;Jl@q{2&@I zfHtgA0rE0HM$KL|oxTPPG4mu_kHUVu zLfh#@*%C&1K;>TM4`ZeNdG7dTlDF^%CS!oqbzsy#!nbg}u=(V`JeVqbJfox}b{;1K zYqk<1)Y8n#8F>U(GrEYQHv`i&|3mn3D>Ush=r$Uap;0BAaVeM< zP8bDU>?4Syw|=YT?iMKam^NG`$ZpBG@oe&P z0N0%D`@j$e7dn09+1=|0p_Pu3VTY`aWP^^6v2||xc+|F!1=a(dW~lQhY>p9h5m%x( zIaNuG=GOyD-hWOJX#eCZ0dyseo3$C`WytfO4zNgT*{cBz_Aek(p2dFawZM*hJ%FF( z)8+J&lE-~9p80uSmT*gdt$Rvf zD;C`oAJ0OKWFA%pmOc&!VZBbMaCt<~jo17Dg^{6p9RPv*JfrkrY9bi4*M%5SE~A_d zof}|=*OGQ)@3ScYf;2e_OjaPp2hk7J&uPb4(8@;S!A-nD1&uQ)2Nzb?B-IMq za3&t}OmC^c7Q0k+dF@(q!sOLanjn)LY~3H2`*dwLBX&kIQv~SR1ap%e2J8#qEZN2~ z7-lj0aUNpZpgvt8ZJj;UG`sG0p)*lvE{bvw)x5!A{>8xnhQarLD==4lZuNM?Qipy3 zr@dF{6nF&va0(o~#=F-CkWotv%jIUDz8skiU;r_>;wMM42iaZnD0P~kx8UI9MF0Zl zc1X{m!qBZS^a)7pIBtQ?Kiw0cJS%`xf`Y=9J4z_dKUINZ_hVu$X(Cx9dJ28AMj0}Rz~ z@1q}{3#vXBSoHuIp9$bmO#jWTht%b}1GqJ)>!(MSJrmEokT*~SAc?wgL`j4$M;@aH zl2|~OKS0mrk@jH!hazc!-Ho(#G>3AN;{zmfjR^P`l$Y~vg|+Q21{lu<$UYUo(7mTI z?2voCZoSEm1vstY_6UHQr?ITi^C1GPA**oEjIbCC{?x^h>_Qw}gFfSMwdjFyT{U-Q zy2}nr#v46U!#$-G9Q8Ful!8u3_P=ICOR&2Sr*)`?RbWQ^d(>jQPKsBbCHX=C1Lw|f znpf?vk+vG@rl7>C!0hCA;a2Ap0ZPP7cfrGqwQPJio>e;nvI{@NTKfJVW? zOR7~5fpbyl!gxsr*i)$MUbIIT_fV;^7UKfxI4|PkM->b!=~@|UX+KW}l5+xTr5zs~ z3T&`8K!NxypjHzG=q0WrcLi3%l;%SLDl#T@0Iw6Sa;S5WRKlL5&mPn59tg~@*8N9x zA)}MM`vMrNH*R4xz(~xPzG%pXbVIZ5L3&%eyN+kYO$y8k_BZ+PsHCj;xg8X(&kz<+1e{dKZ#pxsLh-+6F^E2Lkd7oHAQ zLX!WE`eqIXu#*MP^r=fk&nET9ZNuvk`i@SY1x99aN`Qjl&%=dz45;Db{dWiEI?Bt; zi?C-2J<>nbxEZmYL$bAI=|rd_x`B7mUq_U~o(Y_px*$NGT0E|JFFev7q=|WVBv0KQ zAp2$j7se&Mk{`#RTh4Dw=+;q;+-0t_{n1E-erz(Oe=m}%sa7vlkAmeWn2NJ{PhbX8 z{&)K97H72(So7-va^)V8FBL*8rZR45qok@ao$PE1pw;_7=%2fm|2dHKoh&zVX7TW{ zs{;)B0rs~87%!eXFEGy{j+jHcTS>wc-RbFt)<#V`f>J{n%?CCxjz#u~Q>w&q6 zp05e4L;sYV&Le@jKv2;8C|wtJyBt}1EHJ+wrw#L#+Fr*2i9KgDzgySe|%-l<1)-q4Vtyo8~<7FANdXdJ{f&*bNq})?t&yJ*8 z+rKxk^gTukLzfbD*2{1RHGYoVDzJaY;$j;I))*NhQ-wZ2lMS4<a46H+?^1PzvE%ya5c&m-IX5&6qP$O4r*^sJo=A*QO zg`TI+LSm5=DGw&BzB7^FV5QxF=Y6?r0gO- zt6vGAN$XO*pV-me*Oi>mhW=?uL-k4<%riPv#;-EkIB0ht4or)#9Q=@;j;Y0akTpG3 z)mrwHTI{6O);B8jZ3J-SLpqt)0bKTJr5fuZ>4l0h8A;hU2R1%FfV2I=m4S^=dtK-K zbAh>_yc#tqksC65A{?hft?DtK7gxF4^^+8jb!uU0RH=KQ$qp8 zAGw2!9e_>%LrAV&JbIu>8z6t47k!TqJ`>L-FOcyxVA<5W=b)ke4aWPwJQiRMqwo~w z=C}6-C?L*K9iV}s)h8^dFDnDMFww@=48aJb$5Ds-BH6>V_~)hif38?cs!!L~Fbd8y z`JTX>2vmqlizLBrij4lY07jx+7P#8Uo{wj4q&ZK|FGMogSf<5+Huh72c_ObwvbU50 zI@XL3{%Au0cS{ZPbreD@NI|=9Lw^fZ^S{7KM9Li^*8z)oZZfL6Gq4g%qaqe?#x3H` z+hlw!fG)OS$lkK-x}aRYJ#t6S1*kM`(iEz>mNZ_Xue=?C8D;+=1oP~SX4Al`K5z=I zsQaf-7}=1V2VY)Jl3QX=H*X5yveYwt$sHuOM{cVQP#z4RDe!M~hLA*0dQQ&+P8$`H zDFXy#Q1XoarN4+f6qrWFQyXsA=#)>>kQ16g&$8wX*rR9kEi~E9I%AQZVs-i8bTS9Q z+$}9>atgX!fSfiFAI+B=rAK`tlBwo0u+HWHR{sTtHH7<(a{?@WD}c8t)!OcPk@P=k z)!JPfBRR*&J+$m#HZlBaAwc%^04e5+Y$z5Bh{Xh5l|9oh1!hRp`v#NyBI#9<9jjH{Jb^t5rtO{%bNz#_-qk+}f@nn^s4os(9^U#BBj=x4w-%xAzbl6eoiN~FBdUXBY`>&Bf2*ERi0_R?+?uQU*`cbJ`(WL=Ccu9aC(w8G;fYFBn74dp5xM3BWf3jNqFmthV18 znErDQ<_$2zH^b2Orvr5F3821BAiL`KN2dgKWEV-eP~96KT@vW<>^8uo0fs1N1!u-@ z1TeZaL1#STaTtZ2%m*0k4v?d@`dkD3k}r~kdA%0HRRkxq{kd=f^v)@bsY0ZEOUftmGt*dIx~`nPHXtqf1BLx0Tix^3bY$%LFYYip#=kUqYdPq6TnaUxr5rc zDw65u{cC{@4g{D-r-yVmLx#Tpr2t+fSqW-u@J96Nr?6sJ2e=!%mdyn4*g`==^D<=+ zSZ8B^MJ$p{deY=82)eVg!nJTuB;BYQV-MUEXhOO+YVR7+KYB<9j`w8oN zA>H^Ez{LTyW-gL?n5xzq0HX3Wy5TB6MLr>k-`&qK;bW;mYoj{AG~L}?22kYXrH4X( z06CTM6iWO^BLA4SO4jiHz`Uf=z_g4X z4NyRFFYl=5Y0Cu-9W$7EJGscl)V=^641g5+txbU)M3nyx`tjc|=s(8wYhMaLCezKy zs{{Lm`;rYTp}Y0jY+&h@nVE=S94@CdmI2Eta(VK?JB?#tVKaa zy0?v97BD4$Ilz!<#|2>fM4mC@c${be>GUI9O=xXDe=wf;H^c0A7J_3G0;+8V&VMwc{+Op zIp=os?27>U;=#alUiA4$4qphMSX9q|p{9=`Lyjm%+SBBZ3{9a&<=X*riVW;7q|s=Uol_&roa^&>qH1F+qgCydi)}Y`nNe>hd~3@zDT|t%aVu@uf@bwnWY| z^~1PIg??xr$zUL^n4wl)BAv2Pb}nMp4~FKUmlKR^%%LZ z?3d~QUSW}MMpzCWh-bS$9>55n@r~}fNcN%2@uvh(BF;lFzl$X9yFWnrnE=`$mz$m| zXgmB%B4Yt|?=1tAPIohbx&QW!%K~d$5y0uVhfC~gr+-you8H4|`)kzR@LgJ%AYpz8 zto<_OAjz&B0lYwLH1B3viy|iRL8#NBU)@J?jOVz4toG1XUQF;LlWDou*sw$wrN9Q zZD4O9m_xeumk8lC^y+8!N=pNYPll%ZHwSRJ{#S@-+N^^(bC@L;PF;lBt22I;dVaZa z*Gw8@bs?i&C(<9&WJQxdrAbHbsZ-HF(vFvbi=z8ikTW^lTW-B8OE;NcreT|z_M1V8vW})rk~Rx8Bp^q z=^z>ZjGB#3uUDRTM$&MMVX7_Uz6v!K!TwabP$Z*&hJ5~tXUQAE7$sG+$>rC+FUA`q zGJc(^{zsl^S^X$k3JAd?P1>yX_s*MOzy5@o0JIVr{+befa zo%1|otn<|14IN=a#fp@N^|eyzYZ?s3q^7j2BRNg4jGI+k12fd_q|}}#$r~Q!QgvM} z$$f*FZA_%bs6?_oi!;T%m1Z!dQxk;wU(iNKXUD*s0b0DF2j7A&?nQg^p!umtrp9j%OrEFhz3V7PyK*|s z0nbnbi=-b`KnPhjfM9cygw}KnYotz|`xPy_<^o#lSTOgv9Lcu?=3eg{teC^;9U^e) z!UqE9p1<)8#nA{$n+iNemliOu@difF4L5`7N?q$fJllJ509UDPuxwiZb=sM(M0JyQ zLk}jHb-mKWcE|n`rQc)056q zNAA;Z1NTT)%tP3sB>5QNBLPyd8XH?GtjpE=M~rSsW+zb2s$jCWFKSwAAb(bMA3|u@ z`lGa#Ar>90Umyvs8Z`MQFm#?Gl1YEu;p;2=ojZNFK8(s4W#X?3%JX>kG61!A5>|U$ z%zNZ;NQX4st`V(3;qTy$c=JVmG^pO4boYwVC0mHCJ=IjXX7XKw!G;{?Pl+Nmf@I@* zUt_pXVwJTKzqvUu?`SvFk2x~h0X(&l-5A))vG^n}5GRvc(9}7=b8{7=RPFos1eV4@ z4~B@N?pE*dz#O@!3H*kE+ZPKG0wdE`R4{mxLjhEUN(eM-4Q)8f9 zVYnUVC@Ti&_K&jrt%H%wFw$;%m#YG6B11jY${@nQZGrhMc_*~7x&YZFowKfi)na!% z^LTX%u`WeYCGnbqaX8m+Ilb4j)LE2yTCRuab9WE5U?@IJuPz@2$aJDN239EE2=Lr3 z0X&!Cc|E&U{wmLQ1!&$MKstL8T5qnWourfQ*E+?hjd~Qb8guxO*8ysTVF;}n$iYy{ zMTg!+bv+yJ`L!erYLsN67B>@dOj7)?skiXmu%j76reIq!{UIh|D1jQTnE zxPaE&qzRXyI_uWo3QSd-emyV)#4^4>CP#>)j(>}e8|=!@3ao*edN3hB2khkluJc^t z$=_)x=@c_qmQzDM8I^VrYTX$p!wuLWsirGb?TMs{t=r>>$~vAk=v6Y!RG$pR1w4Z; z?sQ3pwDfes@C(~u_-UD22j-l2 zEWP(6s%N`Zu>OH~Hbd9!l^(4=h(j=zD=W5OJlxsqLzk=$P?rJ98L$rr@Svs#>8sNt zDa9KYtp?hobK%Ow|{?y43FE1W4$4xndlP(s6F=vimXgGGLP!Bww5a1$FlMn4L~ ztVTZ$-V#8SlpodGB=O7>B_Wd|>Qnf1B&?!;7S_sJvpoMAH4ho!)aC%m9w12RBO#Ep zVp3YbC`{A)rfRSL{#qn^YXZz849@obF9qf#qJrs$?pkJ4I;{>R-NIRri04Lf5iQg6 z@J7J|RdZ?X9-l+?8!7q4k=WcN1?u@W&I4lz{>zEp zYx0YER|S*Z#owbGbT$s`^z;@sC%Fq)z2R*nX-!Aud(cm+eOmKCuk<#n2Pn5TK!H#@ zYdB$iyNqP1&}eOySVmMqU1!eh@xb~J*06tvj=KwRLCrI`nhy5f6j=J}Q0P+fn%k}E zXv8y-)c7hE^1M2ZXYj+nMZE|^)`t5lU$tHOD9<3+M8-3$YIOj;jLFM^^`sg!a8tff z2B!Txmk~LaJ++l*GV1NXJh-Uuqo8+RAlLpqO)g}rP;8lZA12MCD&-!Y)d6NM4KM!0*^gugD>iZ=t3$<_YA-gX?926k*6V5tnC2k_T$a0xBb zc+{)NxIRFaPBs?d{Dgt;H3%gLb);eK9i9N9Ug9wG(*_*7lzx`C@=E)EG0sf5i~4Sr_1k7|<~!@syc+ zR7THJ44DeND(SQIN8AXyhYNB={w0!>GdbSE8w_S%Hqu&6Lvx7091?2~#ub|TGpdHM zO@jmNGona|NEv;rC2WVJH4g);ku}ZNkd7x01w-3Lf741Bd9LX}a^qoR4OrL>M)eha zk-BL*R;1pFXZ=e9xLj&Orh}sZ{s(gMP-uLCBFT1AsrGbwIskp25o5h{VHooue2|QaT8(fDZ^@jrPv76 zRTmm%U=?$+%YO&x=V@IorI5;Xk(pTR9(Fr zBP=DO)VwBvqZ=kw`}7^=XL#*U09W)bGBsb$8fv2l9Xc4=F``nQ6+nTjp+*7s2QQOB zReGg0GlaP=Ej{F3(o-kqvJR|;43$i{`nyI0jCVHSWr_nY54!VaJhQ3_!&BTGAnkfk zq>s(XsD7T@A2S)I4xx07djh1}!Kx&kR7!g2dB(eMIs^wp?vM<3u>5e%^plbF1dd8v zqj?#kH&lkGK<#njo2CsplN@lEGNcEerE2#wqB?s^nxcL8C?2$y?f6;w+frJ&Cx4XIHj!*UVa5PLq7UUXML{GV@StqBd% z8_1+@*v4QF8E~tFM{>qP={{@9K{8hO)}gTGI){zv$c+p&V};$nz-g;e1Qb@=g>)K} zMKE>7|7bCi;0HX?S(jgs4H!So8*a?Gu+x;vvgsX>kumX=F9&cP;CIzLz@=4AG9+uy ziXu(;>*_A?cN9r4mpkE}c5@{C97p$4fqCzJvchSZyel%~Z|@iQ`-RA8UKb#JE>p36 zGm^6Q2aMwfYXe*Y&&PFuh5$p`j^F=HvKh1oVk_nO6^bbB`vQB9j7v_%8=%JfM|}(} z#h{!ybzGCZqAyd<-4#W6O>!E5Dl5C`{U(#%TH0X;DR>0zoJnP z;`0bsQWwUnT6r961YP>{R5w5mz&Mh@+b$U;baAz4hD8QEbEWrzV(Z)Q^@y+`Giz4~UrAcX@J6+p{&`++U(;SD*1J@sox^24e; zDUlk7-NUm2RE)Bu-Q=s(Bq5mE*e}80f?=h!s8(HQcQ_l0k>nDuT}M)H*zbNcFNvhmgTpavfm8gGSa&lZ`1C6XTQT_@Y=5cwgCQ$3cLp8XErj(X_3=ZcIo`V zcvkiRyrK6$hRO5fF4`JPy!JZ*tiTW3rHdiF@jc2}saNBt4n@+#&0e#7$F7|e&&pE) z)@N0evzFhcg2IfC2c~~oQS&M?YAQ&t(T&n~4+mzG{~P6w{$v1!#?KPuJkxH-ExBr7 za0+$t5UMxty>ash2Dv;2Fcl#C0NAkrM85nc&yZM;1-u027KGaEUFrUZ;+c^XL-(1p z%X#svVtzAL?|LD>FOr5fRL;rnNRGGjjCoa)tE=%K9Wp544yAr^{tD$T4d9}Gi6F;l zK)H_qZV6!MMN#&T&1}dG9vf;eMG;#YtPSiI+K}Bt1bu+Q?ocAo{nJ(jNZ~eyuYaX2 zepb~z5YOD2(R%Cf8A)}{^C)YHLR3x|DlrOceaVVG6iGv|s+zF}zc#I!8eg-5DF~ZP zE?#}7AHWOP`EQV6C+U#EGcAM1`*XD0Ba9v-?K82s!#2RH8r;SkYXW#1zuHFq~d%7Dz6@#vyI=A%j(PsuIFesN@9>5{APKgd+PHrH!vr zXke}4EwKgZ_!JqQo$f~Ehg6UhN3BpBm57azQInfY{o{dERxf*?c&Zt(C{775 z{8E5S%Yd$W)Gynd=;w~M+N0mueuZ~6k>~Il+#1nc>q|X_QS~zc zGz$NKTD;Qh@#XexB-=jwC>Z8uVRZmEcw8}CmByo>Ycp7>WT0d+$&3n&{(6o=weq-5 z`z8uw<}_8)7yWJF4l*fcTp}CbEFYmTZD?r>=?x*GQP>t(g%C;?>+AANr^9<9<$*}9 zb}(-QmYa)M6ukB!*=Q~q+UG<%k^?COQ_>w&2+jsHPS2d+mON?GNf*PbYP`iJtMF#JxCw+l&d#KGUJW%s{xF3 z7`sWbVf7MLfwKpy&~^$-jSH!O-v4KMKWvhG2XGibhO2z_=%CWMQe-M}8`}aH5K0@W zkg2Ae(^F|{G^DKklU86^Mlycs)`F(s#LFVNa5@=CU7B_rs&Fo2p@ z(2)073@a(Ds?re47o-H&o8H6r#!GznmGEANZQJ zg2y7+w?hzCNp#bqJ|mJ+twF8~Xn!@Z_SXU=_l;rc$=rt0sS9phs$lN5HQY@Q!)xRTQ$C}$(tgg9Mk55X$>Jg{amGUov4r~Ez5Gm3Zt!giaO zFL&nW<*G9DcV%+ijw015ylXAr0b3iuKt*!y?3z-tEbVqYxp};nqMS5t4_b7x3vrqU z!OjaXMz~r~GJ}%ZwG{)`t$F8v&`2KgX-x&3NXr-ti_C zqEZzslL3sab4CDn^%GNelBBf?t&nuzS5xTZg56jfSPFJg-|&V2UHJR|bWeQ)4QZfy zcLgT9(?{H8&+d3uQK=K(jlU9D1ODEFCG>k*$(@!9aLYAkWrujp{uu~$fKuErMorCW zl|aWoM19umO4u23gMI#LWN5gPM?vA#$uk2>N^*B##`%@b2bm3|shdMy6~ey%&CYTe zn0M0W2Z8zB)KBzCz}Fb z{?aL63%hDlFMAYGnR0CylpIoN`|$v_=44}#tw4s-ViZwH^Zv4PqCc*!^Ro`FvTDo0 zeJ2N3V}@c47V62gZi?LYwg5SWli&GvV97t_-5dsZSVpcEIwxi<+tbOZ6hTVb+93w* z6qEcvjHLmv^{8&gRS|=EkB5RXB~e+X{a$Eq2u|N|1V4_#-oHBtkenxsuVb5{z9oC$ zpfTLuJ3jBxz}%Qq#wQm>vbGIK=gLr4T!ltyWTv2ouCwOBwUr011`N8wj_0sPUg~aX zOI$Wf)7oi_?%u`_3<$aIF;?)R=Igg2L)V~Ix9sG%<5~HS$oPj~{}_x(#E$37bSW9? z-opX1qXTr~_r4V?B@uO*niSD`zpJ%Sv9%1BMuw&|1!gb+iQU@+TWRQM8dCR_jYJJ9 zHFWA=TFjE^8#9XS4l4L6U>48{kQ_*tk(l~o#cjkqXkXrcW?+h5atERF1ffX|A4ELn z!z5vzJaU1R79o<(H`Ye((P&f!O+6O1KypgHVWcHa+6})UlIhgJY+%h#lFN9f7)SbU zHv*z;jLN{AD!rJLJPP`kDd?93mVYF`{DA<;zNjQb?%H*L^34E)jR6|;MOQaHBf}$Z zIil>BxzlmLCnM>Oj&c6=SLE2^hsO6UJGC(#<)-QdL+w>15CaVz{}tR%=h4p0Pe*3J%HgOkxX}ZWf?uy z75YA7Gm!ixICwM^Is%Eih-^>qL6=1Hss-5_8D21GBd6I@fHeUYP=n+@KOb0k#qdzG zdu{HR7~}EYPKvlP-ecziq;vW=1?CK!-4|Gj4DQqrKXTVN9k*YSH_25ig( z@FYx{te<_s`x^{fs|$GWuRk3~}P zQC@0#Wl*Pv@vh_DET-S@>q&z;um&d0qo?-t#|?53Ge0|#;xFm~V&)gEOWGY^JXVJA zhqh)nPKgYg?C%b2hzLx>faDNh1-_sN91d)Pz*Xp~`;AXAw(H^Bgxs{=;*DeMBtlsD z8a8p3Zlp;QmhH8ZJS%;dT5^DkZw;OsU(T0q2{q_Oa>c1YYgY4y6||Y@yqqQJ6tlEq zxtk1V>K)#)4oqF0_Ko8sx$>puxj`gLbf%AN_-WR3gPTcC>Fl2pSmSdfp_R(ng)S~k zrZ<5hdcRL6Jr?lp9-cWbjKHwP%~b)swv;W9{CWTv&<1Aa79%;{8^F^sO`4oiENu6U zNE(%#+a8#1k5<4-G@7Mj;mq%lYaF<~C@_gw_XFFFWY=Hg8N>3=6i0^xOH_LdOtHN* zFh8DL@>)F`U~+PR<}m@XsQ@_|pQLUfurv;O-~K>=jL^8MJEXojUMrzSiUmKDn;4pnl~Bj-?ypCSmcWKY+=FHTpM7+x&Z6XpomQZ41lHZ6a3vv zPy0Ip45jJrz;t@8{t$0CRm%7jthPQTmb8#XidzdL;b1z3_z=$?<{1p=IB18;YiTgw z3e2^*Gg$kcNDk@7cxQmYW#n!NknIZKR*G&wA0pO(5?ZBMlGmD#l3WUqoOj5i>ry)e zgt~&nxg@4*?nb&YOndq3;+byk^reBl3%kFJfDC2>I4usr@?RoJuDdrU=3q_0O96Ce z^aV=EM7t&ZOS|U0o0;)do>6^T!$KF|T`A|9bD*5Ea_~DCD}+eZn+qE&s>+~&-fQOt zl8|Z6BD7|-N9Rr%Pt4$sPIzxucT8*8^y6-X@m<^YFS%N$tXJ zg{!a8=iT;ffXsJo5?0jf09Nm_U&vS~viw@=i=2 zLw5Vr;%B|`vjg+5&=xKVY;tLUY#I!gWP!zA_uK&Wh5()wn)+y9RU2?#fXT)Hi<;8& z1Jj-M{MtIk=9f%TknI;%7`H@jwmLxfCxpEyq#Ev#BzGa`o2c!2BPl^xekOBk4VssdEBb z#N@hHc@9JU*K+}eO!?mPn!FlVA2u3GTe>PRKc(;&(4g8HU<@z4MKXDfB+T>AYBpf& zveyCV(ewoYDyWvv0-##^Q((yCj*|oU3C;dpWb6pw*O(?SK7Gv!!g`FeKo0yC(&UZ6 zj@=nRI**a(_EY2{8^%l0QEvpqTarD5mx-4kaz@jdzS>r z>i}Mn8mxPyaOiC(>*ry%;=Z(An()CZ~XP z0;FN>Cdm+r?Eyyg{uuh~QlZ)um;rm&3wFGq&ws2~AOc>E>ehkH9Sq=yIH$3qV|wZo zQ_|h$2?1Q(z6+0LFfuyoDxHfJ4TYDzJXXq!mi3F9!RXKoR5LuG zk=Fco5PnyD=?c|rB$4(mlq`_;a&G_yJyX!{jHC;v+infazgckiD~D>m|BJP^kG8Zb z4?Oc8-cw#KNX~(C6bh^AP$HCt9|amhgHZ1&&fz17o+I~wQK2pbM8P0P;Rgijz1Ip> z3dK?k5|pY-$(NU)lb%cu!dgl@t~E~g%EYYEkhRjro^&!vo9?(eJy|AgYt8ffJ>xmo zTBcX8S@X}cp8f9q?vLkdKl|DH-S4jl80`$uSG*C1F;;4fjMsMuaC@|aEitI$L7NE^ zL5Wc719u_u$`b)DQ5dk)n~{y9-xQ#L?A5seG~s73w#LN){Jf-kS74G|=6QR=;3jgR zZi|||Z}Y>iAz26Tx7AM#0{dD&K)wq(6`vtOy>C|lzbzQtOA%ICO7T|Y;L!O2mRAC# zlECxvp#Tym!yRaVGiU!3fz=xWcw^C+3VxAM{zq6lx+lPZPBu>qumfH$?+!4e4TGpV zuyB(zNuCv;@o)eGbR|8_Z<`r!#v|-0)q8=yUuSAhw@`uK=r|Sm&Ew$Hl)FEG_d9wo zgm)bn&Ud0e4B36ndC(Z1w%xDPMi)h{Cv^^;5ttW6x$^S-b6%7}cPk`Eo49~hcwx?% z-Zu~$1!M&QnQRE)35eW$#)6EWB;zvy+^E+adW72v(ly-*GH!tiwCUoJcYALMP%~}YKW}B|BM}aNz7EWf)x8nzX=Ku^ zvR*5&3W_gK)r7tz?dgm0HI>c|%^^7+PxmbL1hsPckoWr0)4T;>s$g=pLd!I69%3s$ z8Oi?b0o*HEfVK9tiRgV33Hvr=y7jIA<0k^hle z@~vPW10Vv)sQrPdMxn0R89d;p)|=2UvmK zjVizxc6ZJV@QPOls4fhkFZwmcamSR?t!-qyKEN1uH{Kk;#qyuc2Uaj%zbJSS#(Qh5 ze_U~*_lLw^ek3xS7CTU5cx8a`I|3|>0(`X$(C!EDhid*jeDcmn7ApZf*jpV8tnsP< zyO0gPC4L+2rGqOm|S$ zJ{ie2ywu(o$eJexy?5GWm9ZtGGkFS$DdAXz(DjygCHn39ahu}V;U@yT|9G&eI97Ee z4^;s?LgBIaxhdZom^9g=A=4-9ua9R^=qa>kyo(}giaJBbbHPi;?UixI20id_sSDHz z6801l<`$D{oJk!?Cog3q+r<=YhWk%3`5PtCTYn0M8c4nf9vua@(xrp;-i4%+s1-v< z=XBzt#*kwHHJteFTo>5jEdd&LQ|>;%y#Neo4_ft+`|{xc1N5W6J%D@QFJk(<|K;$R zff@5vl)YADat-AmSfA?mO*`49lU@PjX9`Y+(#nwXDqZtZOAn_x3A+ehs3YTVcL$i9 z8{n_$i#Hzo2MB%s9y(Z}Z=M5fe>AWHE9%Pd&rug|Z7R5oXW!Ib*bohe_ zMLGfWZj>gs${J8Z@g9GHcj4BTb_Q@y#MNE(fk^7kxUXx#Wr79_?+kG0mHpyBfquq)jJ+0bjHEGzbW)*O@7e&>djq)2nlauLWR0C1U?<(1_3E|Ghax$KYFfe? z*%(5mHWYd}QZhnHG<{wvSwO2);*Ej*8It(FLm_`8W037HcSmvoBeT3cz#MdOk?Dl% zrJ(N0IN>h5J#t$I1LTLsj|Em92(V>OfVss0d9-tVU?rNe{96IEdfJ!tS?P;sc63rd zLJ#_|VnX9;MSXE##mh)u28Lbh(e8*Qn>0Cph$J(UVF#&p_4^{J6X=9dek_u$j|b4< zd*`OWu7U>odJ9O2yVr;5{fSio4_4}>9ij(iAD|js5tuu11~dk@MskQy8!m4s%J=YW zLx9)7naNau-6-uMW`0*$ECg0yZWNUPL+F2!XZr(azPzow^(mg+AHX9w#wWEK?z*{& zl$&cbuCLNUFpV=*kh6DkfYF@+<}L`38UV37I^d54)`zAOXzE&b6`l6_G!@wT+l^Q8cywbc_D?IXNO?khupH0& zzZ~Ev2$w5n|Iy-~CiA-|*xg+WFor#@)%1{;7?IcadAX?@Et6Z~*@VFirqVv!{8J8! zW2gm3SUc_lzsa!HA&&JE0EXp_l`UwM`-qr1WwL)}VD5JhuqDp0m2T9Nk<6N*hUp~kX_9~6At<<&jM;%y)%Hq)Ubz)D|l;`4Eeu$5fc*=1| zpPk=M!Kikiv#|ng=cJD0=am<7C+7#~QT-km@TJQGbhZItfI967Ccn_?V7}5}c_c7p zvbd6Gu%bN*P)xmtF{Z_JeCs?iurJd7Fl2W!9RGS?-Xz<;AuvC>(#C2n`mn;_V+U5` z+8%>fBH2zXv(;S(viBiLQ{(ZGz+Cj}sk*Q;#M*|sy7uEbux~Q_JE{OWhF+?w(s_W( zs9JvHjoIuoz>gjXkU#C+6WBUzgx+iO*1(4E36RH*c9B8Hji%`AG&V%iUowsnnj!kD znJZ!5moErVAqPL8leaU}>hu8nP79Ei>%yos!>=ay!T<%zG`oiIjMtEHMu553ldCcf z1N%mc3^=&vn!2+hxyoFddm?Y32#TZE(p(H|%}+5HYV+X$26T^sjrsk)o(vq+kCg_K zHc2^%_DBN*21eRE8@lj`$Y`P(qk99W5Cw$ThhZ!sgiij$P~(by0sgKIFjoa|uS5UY zsC{mpGMN0)oa0!b+@k>uD`^EvhA^Sy3pWR7e;|OKs!nSD^93I5N027R1ekr^nP-ol z;0^ks*RmJ!c@{NQeE!o8av`=Ia+gg1IS(+LOgRL^3-qOsJM(#8%hdRGp}{K=26qO& zPLqBS{y!fT*l-*`=hIsmQvKc-&on{h*@5ML?R|mi8uXB%PteKnX#reDewU7adUt@T z4sd8|0DWLDa``4QG{3xq9%4@;Sjl~n(k#64k~{yDv9v2d3}HahA!+3po6AQ zIODIkhxiS-oX(Iu8an=s0KH!duyS_*r}8#ad22&}V#*Y!@;=o4158W#X^J4b3r`1_ zNNnWUU6h$9w_#%sdCnaZcsW9z4R%c+qDO~x)V1S&Xy+0AFO}q~jSmLq*o;-RpC#k@ z0A4C+JbSSd$u5PxDJk!Wq9MrW=6wN&r z*vM`i2+Z}l4#qsh?qKyYPWbV_^z?HZ8j_^5^ITwE2%#7G1GMKhl4COR!XYf7i(CIO zXN16e0~~(yEtI=9K>PLp{m%r**aO3Il|MqVTMWx@)BG(~f&Cj_8DPM$^b`&s4D9b2 zk(1%RHwIQBVZ%KE{yhSx`+M)nf&Jq%0W{%i=xlB3Qa|_07>vQ1Jd}>eI~k@cd2=L< zq>gS1Oc^p(Wtgf1g$BPJ;5GzAtMU(5Qw}j}A}Y&P&%4!!0yJI{z|B}!UVaIpqh3P$ z5#s008*dJI+&d{r^)bgL#@eDJv z89G09G|BS=?41wbSC{Rx0&83oz%a8Dy(;Oip47(TmdMSY=)uM{p^bZaZDRmWqxCig zX8g*p8g(=al&(dQn%ucMz(eN-xC5`{UnsyB#xB-ph$y=tH!A+Ml}HXA1!!sB71$U# zXd(w0+CT(GzZM|xe_0<`|M~#NeR@o7gWJeuR_k6Dz&!_Lql2~Z{@B?v*Zpa2gj+KM z$w}{Bhkgmxx(xp#sQV&>U1cyYz9~SpJwQhb|=XjBo{`{DMcT>g{A>d!a z4EJsdptF6S4iMB;FpX6DafgvWcc#>o-+VHPc+;cTa~t^8tMZo8CbU<$JRsmN6#o_( zGSYh?Ch}Ui@NI0Y&S$A7LnoV1S6M4zj~_L;=Q>BmdS*mp_3lmhjmfcBQEn7qGqN_o zik9yVU~Ka~R4tt%)Y+B42Z6j(%-=)0w_SaTa)|sGQ&2ttV0KZ(9iZWzF&f%KnwpHm z6Pzt%$nGA6_>^^kUKOA?A;1LPpU`^)TML80j=eZQYdJvoqXFEQ>oATc<1hp=>Ic?9 zarET}aN0@uJ8;?qtnR+{t|MbtfTmo9m!rFRwl{$Bdk3xGKDs)dIcQ@ZCF4zRo$(s! z?ZUijY8g84%~9TQ0flGwK%Id{6NW#o1N;xW1GK6DZp)70miubO+X5>YvQbsNX?9CUDi@=+FJC0t&Sc254RrKu_9bQ2Rh6mr<8<&m$N5 zwGj&^o2S%UItLo zf4;cX&*M|b%O4=}&YZ5=x+JT00bFU0q!ngFzpi~|U`=GhGi`g$3aocU01sWb{o^UA z5?!sH4lqD4ci0BX>GI1Zz!1I_uMXf%M7o??F=V=uLmF~dzX#a|4+ro!jSVbF(FVMg zjE@D-+WMW6UWQ|Hb@%UR_us+1n%25U2WZy;{^tAuZ=-R4P-$q$)ofmbjkFu!tl*Y^ zH**8P3Fr4&~WodgWTugtk9Ll0LhY=QR1@92VG5ioJ&QA$>Oy}*WV{kn;3}~B^1$XGotz$E8T2;W7=_OL0fvaE zlZcCzE+SA}5a6p&GPhEor2AG%=PvZfwMHrq92_Cz8HuKXLsRk5t=NOW89+Sx_`uFV zkk*6!78*L*9zdtE-W{0i@v4m0MUhm--81YxMe_9lI%fpf3}=cj@@yO+=PeC4Oz|7L z7cd^);H}T^=WaJob@-gc$58D@m|XXn z{E1YF&cDd+$a86ONRyA!Nv;ZBnLauIw#D>P* z!5TuBTG@pzile?t8*OYp2cW9)-Q=QW4sew=eu$`y>HrSmdDO2wKfn!Gv#JW98}$=; z`L;+J&sm)h?Az#@r-rU-Q4X$p+G}Q{KhTe76+UaX6Tr~@&pm<+fBOvK&5M-#wE#L} zx-P$m(oNv>g9mjTZ~uwF7WR?E zZgdcI`PSGT*mmU4U9v7p=Spb+{eJggfPeWIxxBHJv9%Dc2KwOvB>U_a>uzJEGlpUt z;7qR4_?X697X*0MJHSW|k)hv3a@60n0_c$j^m(|T-Iby4K#!SwoNPu=Jby3umcYIP zO`8a{%P&JTit-4db`9Hsrq%laG+AOYy2k{_vj)(r^V z{v!zH5s#`0%(K7$g`RFkHhN5&Eh7MSVIe~`Wpk-q+&LpNe`&}m?mF@VC(7tE9gw;kpRk- z7d{)8GO{y5xcnWuo2LWj9^(vKXl(*3PC-(uyf za|8V2_5e~>EB_ZKki0ZN|DpiZQ((Umz`Y4~v|C?{ zL1QBm9;P)4;cB=ZJ+HktfX7E$xAN?U0G@;DVs1w50RA4sZ-d;a z>3uAoX=GN=kIwA@JgMECn(!7qhSBJ+&hF^#DKOI!gS;(7Z<&dp`FMcVZw2Tp<4*=wGF}~|PdWgAkhw^+>W3PgAWnj)xhx>u;WR9Ax=qJAz$*K!D3GfPl41hug zz`9Zh{pd5R`Pad6Phf`^1I)e;@cW+e!|}{>BR^UnSQ`!&zaGHv1DtT%h@*S{ZV7p= zAa^OQiwyTZ^*r2NKLwlJx|@s*0W{p{W#C|RV3g4mz5o8FB3US`=a4Qn4?2l@7GZ7T`2LS4shz00E1r*kmd`n?nA<~2ObG` z=h3yedn^@pSKS(Db2Kstp~3#NlPVMTz+asV_6OE}d4Nlxp9@cq;TVD&(6s@2q_D1| zFMmeOBWhl_I6&U8#$Xim<_gaq4WJ;o$)!`IE0jM&*crKARylkoFc*8nRi0sZ3Jg!O z7G7q!6To&WI*fu(9J z1(tyTRKxY}KcE%WjRATPqPjVNJF-UEJu6gTjJkIR&=d4hfG)PF^RWOUgkS&Vi1?|@ zlVD9OR}+!fDjOU2w;@+TIt8?XA6&bo?U4Z8H054Pl3=UL-z@BOa z7{TuP?Eze5YA6;KBdN3f{QAJUNU=Xl?`;Uo3+p^8ull(-b0yr{8oA4725>(2$|#+L zyy6|I8S-wwgd%89ac%&o4i9WJ=*t7l=e}E%fpy*)Kr=UL2Ie7{{9*|;?PF=ih+gZS z0Gex~243IXex6*2jd~PP+C}aketb z{B<5Gw2Z8+B6_+rYfdMi-3F7~815rd6KK$-@wAh_6j<+Sl9;)?{p`8GO8WfUbnWeM z&^|v$cilhglJQrk2WZp*7Iz1bh(Fp9*y?hCF+NE1V1VL4fO#Za)_SC+M5whO6+~S4 zV1N;FYDhrufAEP&Itjb0wE#){*ulHnU4b7&hK?HsaPQN@9*3ZnOSg-+2X;yw;5kfR zy8=KkPpLR9dL*dzx_CBsc>q<{vmf=FBk5VrTP_Z4!8Q=qCc;%Rw)P_doFHB3G+svT zWq_*!xN~+G2IR*Clfe9rpz4sj5}-unjdpiV1iK=@1X>+}QR6)UKD!t|GPyqb;Ej>| z>Uy5NH^6Ww*bM;&CkOcZTLa|DA80z-6+r16{YGGi?k0It0GERM_6Fwp#PNo}oD4^| z2bSM@AQ9RF4@4|#JD-eagUfv-7S1cf+^8#~#c=Vc%us z9;qsjab2sNnMRT9Au0vKa*p?lv^@5~h$_0<_;`ROozzN=J{_1*dn^4EX8n|n0TkA1 z+PD+iVT7h$44_%pt2&jLvv*biFAi2VJUpjAB$Kz1+k>@weXhI~Q2P=CVCcS}8}`7! zf}eC0>v)DtUXAFjB2C?K0HdLPNV$MCxnp9u?GDV1vZ1%`Mz{wFwpwCw1hY^De+a0K&fm z?vLIWpm_+e7+{FC=>J*()nJ<%aD5~vXn<$mnkNV5O2iNQCy4y!#{>9p${{r9LW2VF zNuL@~p1?Bq7jlJ$&KdFEZ5c)B)-f0_2rPJHTM5F@1NxCXbLrisw54 zMhq|y955JTH$Os63mE10t#Q$6+TAu9njxCE2Ilf1om6zt$;(ChY(exPdMb~8vMwm8JUo(H z%Tq=fCp-~GjZvn*g*|x|5zah!T>!sR|CdZ6Jz1gWfz26SP44~xv+Y~AGo46VPew)w zqnz!#&w;_HvtU#MVf{;tj1j*3ky!Qohe&L(J-|z0-fu!2zX&e^`Gukm@HE6Z4go$a zFP#Ghkvs=7d2Z8hH`UNF6ms`J@3e!-o>23TibJGWH7y|1;6#!K0$gN-->|T1~Cx*o?lE}S>pvMsVckwO! zsB-}|7;Ok}MC4tg?*eu5Y~+^D2k71#Kr!n;Y!@{iwOxkT|A^FeAhs(TC*1MwNRI0O za~B5CIc|J0u$(?WADH3j3NI zszd)ugrPtVjI{OW+J$tjjn=v!pojNLq`f06AW0rEr#_ECSe5HHS8Y%6u7L&3m*Ipa z-0xo%pj-*i#C(+p1E>av&~BqC9w+Kk^9o(lHB~tepC3ur_68b_*BSOVirBv=avg%! zr^Pthj6=89h2laT$*om@0_u9s&5eiEOCs4oY`3W04t1F#nBm3(7*mW95qmItMri^Z*Fie?y4;YH=i3NjfuD6;fb_;d(OVQ#} zfw`2{$8?@{Au)J>3}+#DsRbS~Xv1U5mHuv3$Fr@fDWhymHE(%6g+CC$3;xHq1m>=S z+k5`xpfzQ(zPFQq@60H-fc#aMFGX*0F|hvW0sQmg+=beI$*)bTln$1w1ldH-<+edS&Qz^3lLNDsa_V zfo;JSd%pO`?+nc4`tTZ_AR=P4Ea*p)hxe_jR9=Jb?)3lApvVUlya zrziT*dGvGuqe2FLA7qqnvFnDq|7M8cZxE0UbRNJNj{?_lX4?}1T!+30Ne*k8-xHX- zLH%KN-T=8ix;n5X z5}|YAq&b2!cDzk@tGfd9=wD6O(zB#V?Mvgdz%(dV!?LOluv!H$FsNiJJ{>ri|7^#2 zjNs)m%hE2xT85!b89ENk6{#P(=XZCGtrHoV^%0}Y6Ns?3iNG1>cdq@(dY;`FVD9Ds z3)uDy@$UqK8vgmc3w68L2xF=pD3q4}mcZI~23UqxT3}6vpS~Go-+NDF3~)dE_{0hF zRHpJ7O^tDn^>Vcgza6={c{SX3V)nL_5rj2Bx3dl`k8CanR-i)lTLNSZ6fU?WsY|Sf zQZtGCu37;R4THNOsB$VL`oJ~Z+9wgQv4$*E4P7;<_InWQzd#|6n>?e?Kp{8Ws+$6H z>ETCuBaEfrk~J|SHReWz=psnz&@Btz)&=O-0p>79 z&gXq{_PvpaikJDr5+`Jv9gmJp1xa~{vG4NxEgS1}k@Ctf$u zyPM?u1L#T)7)QGCw9%*cEqZUTW<>8BFzR3L4p7zs8Z^{HZ1doWmT)=*eZqPray>me zIzVCMG;haZ~&pQc4bnDV?XvYs99nY%m0m?dn_x3c- z4a}&}R{B@Z2XH&YJv6srbW&aKHz7_QX+~!Xc{iB$k5QFmg56FSxu`iN zlGU+*`vR0myVK4KFuo7zbp7!~-=BM2Tfgp=3}(z=JTTdQJg~en;6s7c$Zk0u%nr0xi|%aSW(XNN zzzB{R%oy4`BEM9=iV^uG(o2!&FCowVY_E7Ku!S!Mn5+h9LneM3N<9ff^*M}Ycu z0pwAm6_^S;`z~SN@@p|N9Fd}8WYN>n9`G@6&1B1dUt>!2I>VUUfvjB&wB$X zNF|n4vKRM|i{wb>0?F1!xDeAhQA+e^yL7FOUXBqTM>%&|V29{wQ3vR~IzZ>#083i~ zY@y?GX9O@B)nZy)L1^+&*RKUupl?#LcYR=;o#fsSAdi-4zCIO6<=LRbNXA38))N7Y z_4Vl5y|i0kpFQAx<;{V)hV=-AYx@j3IS%@K1^rt^vW*{TUJbJ4N{NOPt~{LpkM4j+ zJE_29jRm#H{XDI?jtt0NFbAyuUjzkB_d1A5vzspB% zE^Fzor+ilES_ud3frEB3)Lm`B(7^{N%!DzyC4j7*+#Oh-#*Hz$4lp>{rsh7}GJK~~ zZX|lB`jJs-shLxZ*!WRXiQ4DYSG&NJwK6a#v>`nIJmlUFp*WX0t9ejFt1PYl9G1Bt|6eixE?;%FjRnn7l_#S5&j&U^nVxz_0F}wpSxtL- zW;`?aGk7>KSHkYPxjbBE)v_BW1|0XgZU8fE(e_;SCJ#<1~)ujR4*!0jqjY^K;f@jsz z(Zt8Buy7vr9xjqZo|TPaePFHI0{qp<0ruY-V2r4wdx^X(&=*6tUU6a&E6-zYh>ViS z#xGtMJ{g!Xg$xm19m&C`$o)(Jk6|xB9ChmtVcF#n!i$L(o(N3(xm562vbWW)j3UF& z6g1M_V!6z-*7E^Wjh173hG(}2@F<){TF9E~)h-IV>y-fp3~Y~+cn5WhFeq?y8XV(ERj9|4GzX4%mFqTQThTf)XA%OmRy;4L0}q`qY-ouR<>|cI$tD1Iam#>^>l#AOL&G= zaXVPQvvpb|{rhuGM$RdCxp@jnnw}F$*8!5aazqq11d^dE--Q~vseF529co^He)3~Z zevtH&Uis$r&GyCDl5aM7XO!znCKM+>{Xk6@Hj+VAJ;v+Ci1Mc|pBb>n+=2?^k=~8W z(>$cmP_w69eWn>scGClQRU627@mK(5!*9+i>8#NQv`(Rj!tkoVc6}m%;rx>v2h8j6 ztWC!iZ|UbgdmAm&%;`%ND5t)11N!x;uV-JV<)4;ubBidFVp|24!YU!?S_x;82C()e zeTq|jDqQF$k?NgSob z?p{FQa|5U(d1IS)<3ygR`%hAY3i208cl|WUNPodogdTqImyE7<3dt$KsJTSsohy7} zLZ#*Q02Q-t(Fib@2ZJPg>7*jxQW2?Tyfc933REz=JEE|^NRm zkRni{b1E6UrhDFGfE7loI>0lEWKbL7@`$Q&f#&%Xkz4ejsU3$xDqVS3V1@iRVm8N!+W((Z!aq3?JWCItZkl1W_UuS%jPg*I22}paT1Hgvp~$rWgv*d^t#SgC z0}l%82+R1UX6}Z_b$w)!^d8Jm>EMj+bfGZV2G2CPC0y+@AGKc_z}UYFw)~3&z4Cy( zK7(4OWAln(WVkt5&^2RP^0KXnDvmoMW7q2gc=>tGtLleTqkrS+uncW@Wk7lg5XaAl z8t)7&XCY}ih-50Zl0$2i;{A5snAYcs54V%t5^}4tKu((!*~Pm#YoMGStMDRc-PP|a z=<{U!ym|T<-aQuZ97Rx)FWDE32j)RNGE$!Nf=z03Z-=5Qim8!K45Zb%yNbhio!gYYT=L0O5YsaVhJ7NfuecqlT zFI6Kzfo$~XYWt%Pyo+GYI6)fDQ2E}c^TU60>Mvu6}`72Dtb^x$_u1UN{*0?QW7hP7!MuI;yf}G zLWbqxj5U4HxH-Vc{C_X|JUXz-yH?**A$V=g?6;i?7@*dowLUN%*YsLcH7b}W*$VY) zB-8Ii0|xZj?rL*%Lo0}5@W&lvr&%YUim`2AYAcxs+YoGI8+Qe^#wtU^;pqWtX9I-m zDA~iLnQjlHoB89X(~W`ws>#_6h`7cJSI}W?^D6-i?xmqc?%k-r^i(h!@5=?~*OB5I z1FJU$sO}7qYmL(aQ|+bh9F1#5Q-B$p-j^OqKT^NY(PGMdD5=x2LL0_6<|HStjb$U< zD5?Mke)W|Np7qJKjp4n4xjSsTrJRwH&qs!~se;bcW`HVAt_qP7rVJ_Qv{os9zN=U) z#xqYl_{OA)WG+Ic0-QgCQD|mjaZi-%Q(uW3Y`Hdo>oQ%dH2+XHR~`0hDUu5x;Mpw! z+_cbHoH$fElzy09n~S7J4}7N6mi{iJbJuOoallJCbL5g|&rdUa*L{~lb}vRoHc7|R zC3zySMY>VEBS7n{0F9ksCk7}1&bqEEv_l45TCCn1(<1o{LX4;&FMN4~cQM21hF%|7 zh8LX(%%!K!&e?`$MDUi#*a7$DOj7qrDnL^_nA$syA}Ds_GBVIIL-&^M3% z9hpKc9l+%50RH&dcWbPG(Ev}kIVTrLNso*IG8w+}h=(_R`T>{`;buQ_55GD<^=yEg z&wZ_qWZuJ!cDvW%O;}!u?b+3>Qs_YBdd6#jsQ3|F>w|$AH`5$ubb4bv>mgDG%1Van zJrjmvTXZ)gS+Hm2V1SABX_0t$9q*Q#0(h&aZpnZm;WR+Sq(RHYkb=*rLLj5;^=Muv;qA^me~x^E+x zyywgS1+rG@7{a$=CxF(h$~Aj^dL&(Z8>^pVF!{}>>^`4dM%h5PH0JusN|Sq3o9SQP zLyCULWFt?0Pi+5;_UJR@RLLlPmi(alt;YpuQq|`71*kR#_^(j>H=xiy=F2`EH`@J8 zq@>AfPL+Q5M@4_y zp}lly1c~>e?B9peecIhjyXi?oCeK>=&$Y>7B)c}rr0E5@t4ayn@`{Q7@UxXRVAlg}eZv8IzeVGwc$OyIzcnnxn@ zlkz>0%*GMmy*mSpPY&P*2JKyeX^cFM<%W!heulL1kqZLo1hx^v-+@dIAx#;mfD4^w zfLviv^N7K?K$U|z4<3kTNBk7cj|p6s8q@Nl`w3!U5au-seVf0d9DKUrMc-r)3(fG63MX0)#Spro4@DH*NshPKY}V&-yUrbFfR zBzFdALrFijZqhZaMfbkITsd^l4y=a_^Mp``j<*$2dVeCi@Esdp39M;rHbhl!si`<4 z->|S%foVH)WlcA7DM&_xqylU_r>|k0k7r(5<)S97*=}BQe$!ger2CwE$#B`CfEd3@ zM+pWf0(}~)`vGLsD-c^}c3q~HY{cXisv70Wl>j+FxVr2p>FEfPxK8YDCXIPf$Pq)3t3=V4EqNRFk?GZr6=c z_XLT(JD%yscClA_03$5O{5b(i+(yp}IF;)^d%L20XgX*+af(U?lRNGo;0-K;cl~L@ zI`@$KY=Dw(sQWquhV(l0)R`{-QHqR9mpQv8g)k$^c*Th30N(=S0@Wgje9ny<0xKDt z=i6oDbvOj;tdG|`9q0juT$j;gO*iVL02Smku&+dT{&_cX{@erK31%&hoQ4`C_4VY! zNyveIM2#>EsI>EV07YKA`<&8ARUV;=@6EwKtgN-Gs0ZM-?ZK^IgcKwE|AlI=^AX6#162}yAJRbU^-~IV{%j^HJh!O zO3r+X%OY2s=t(RqP;wkmUYE2KMO>E|tnoBK>aS#?H9c;l0m_j6xG|Jm%3Mqv>MD~+ z?%QtF3gz^0hJNuDbrqZVD41SpP0~NVJ5?$>AOc=WR3vy;RMXW{ad6Iw$6Rtju zar7RA$FytEv-eqcxQGUArSYXX70+cp+Eg2B8cQem0mi5j6GSp8_S|5t!Ub%X8V4mdF z*DE$f()mqa?@#D+xd%YaE|=Wh9Go7>-u3{-u5YNo5H8v6S+G84Sf``c32cD1_y(P9 z(Ou7I+R5LfYo5Z)ODQ%)vPajNbj?%fX^{}y?_LnV<TD>Je zSp`sahfuNy8!J@J3pecA9{N&ZzDBT|MbBra%P14o$FBjElMGKz0 z%J%?64b?n6Y{Y-TfDj84*CYTIAN z=8?ndl6Y3|TKg;HLemB!mA4N-p{fdyA&Xh{RH_hKz0zs4dw~pN3TC*fta#?miYKAd zvxFK>d_P9udQeDW+qhpa-bBVxNaBE8r@IQ;mw;k>fIhl#D>OZJ5WsH>Jh^N@L;tjf zt8Jvt*DAzpM>~KgAUqIOB3H%$Zlkp^t=$3NHq-Ii1R z>f7Yj!2AlLt;i!+oo547C|wIHm5NREh8^6WF@~~$;wWn_)4J;-SyHal)YDq#O6=(~ z+cn@~ySWo=5xV9Zh7(+5inTr)8Ts3J<(`_2h!{S04t3l3L=3XVs4)oa*pCFz?I~cg zkjIl=NfD=Q^hnqFCD1;%G^lj&2{N7sAQ4AX zLBAr|2f$i;?~!!_Z|UK|X|4Ps-Ss*SC(?@7zO|Fw4+F3?C51h3&{e0Q+B|Y)1@g^} zaL+6@%_w=T381@fi7(Shcf-4wjEte2PA)yjZCNzbJ8wJi&6}Ic<-jtya%Nx|VbQ9* zHj;)r9O|*SgYLVimo75fhj{izUPHn<*OO!wW1kHn`Qu$(l5}v7iQMk70Mwv-E`V{{ z9wYB>;u&`6A&BjCatbx;YK-0#*nfK!{XIHa@kg2 zMF!ZZ5(jLF>T_jC@)CMwk!?)4VtY0Qre!dBv~OG%&zkT}&0COLaKSZ%$KrJi4d?44 zEm8e-R(eignp{cJ(G;8-&(h17ia@W3Xa8RhtQ{ffG`=_&Aho9o?7!mx-2R#N(C6~! zRC??^kSYq_C$C@eB&(8O>({%XwiI;-cg0u*xMmlgA8D5=H71a$leaI-etw z#{*8~nY3Dh8aPOoeRhBYum){73A@zF z*OU$E=QK;>Es2Ohsd#Ns#qnJ=ls6h=?4M%mR7swlg54-6Y~wHR?D(Ala@|exRDeY! zwq0{g=R(5o5^Q&wcB>l$$f*6iw(S7#VwG!>hOJ%ej;3O39LZRkujx!AMt7xOg?HmK zPpdnalKT47q57>+&u5r=bCveNQY0OlL-3C^c}~m1@W`%Rg77QhA={Gop5uD>9dj4 zN2(Zac7r}^Jdz*%NanC;(r1#rPsR=ki>Y~5u!oFOu!I$ZX&{OIDRy>%@5NRKOBE z>VaJX*ar9pz)8-rEiOgU*{`Rlkh?hT!F5xSGJM>%2)TCLwc5}1ENQo4&C}`|_63le z#ZzUPwcDXJX|O~$PSU@pf&to{GM z_LR{rrX52_ewgXu(&A(aBciVE=1BT;lzKB6RcnaJ|DGA1RDdh8}2O{&|MzH zGlg~G>cEr@Raf8+Z+DdpI8)J@8ajV2SQWsq(&`Cdmj;l(u8+KNtb|NXxQmeK8wi}Y zUQKp_-9|3Va|u5?F5wDygkxRM=YN17{}-$QBoR9qW-$DBU-JFBgwWkMz3#fo@d>hR(@bNvE*W68#VRa?R zMS-a)o(wTomB+C@92tE`oN<-=12ec+TAxF(D!QgS=t_F$e7Y8s<>zr~4G=0sx0(f9(L8?($sq53VK15tV z9Hp-6oZrKuQBF3!N5CL#X_mkoIFdb`! zFh`_U@BE?px+=jUvlrcxPAo8_!SbKLSxyJXzxzO^vGA!jZ5AwYGBOSTW z;n{5dZISDl&m$H|Mh!Ce$tcpc2Ndo?#39dyXi84`h zh_b7a6lxEZ>IQgko(6dxRkzCjP>;Fhk&@yv93Py@-dGm3Z9`U>5WiWEz|v-gE$$1q%Uj2kR+|j zShL15S3C5|?dlXgnrzUGK254Z@@xK%w(60R7AT*(!v#e9wHzc zVXZ97{dj72-~RYPU=nu7v&Lcow`;Tl1`OQ#Xe#p5>pe?h4WoUg2N|7KHp)mE6dPSghDDwWOb1+zk{=&NL?u{~7{dBFNUr!k z%Nx+j-G?9GHh%^|=}cBDs}ve*fX^idx_XLvZ<}^>+J5 zA*>`K{nPUQ4U*$7iZ=>R<|C<%?e_!o_6EZz^?AI3eHok_U>+-~TRZ$@U~A$&Q`$Qx zUxF07@l~lG5JI~#naY7Kjg;UyrB_B$i=M)dL#5x8i!-`0$Dn&tS(6_nHOmyqO!@2*oecta!O z?w4H6vojcEWirJF^Xis{?pw8+0qw`AU+Ot{&j&J+7_U7Mu62X z2Jl)}|A;lgZS=Cm;*r3HD8&A=0?ck)oJaKhf$QY4z!XA%dfYrOl3uY`{aRpNu_*KA z>F(r)0HZs=t^<6KBr4whP=J-+;@K+T!vXRz3PL?OJHXES0=SYJJr|hf`g^P^z60s> zcn;454%ukJbN7_okk;+V*bSAc6$M3f_uby}K94{7^?0TbI+40^%`c$HaHDy!$ZOQn zRk&zPSIv*J^j`m(A!r15ASG9B3h?&~I>XzGU{?mnU^)|vYY1H-r@Ps*H2pusLhDmO z`-KAmJd|0#FR%h4&Qpt4+1p#2(52oTz@087(T^SEM|pB&7$h1(@m%uIQ+zZ%QsVLNUB{NSf810#4~U3)^+x%p1kZM zqTb}`>STg6XJ1ID42^uUxgNZgm-hEwic>S3(Sb*VBU#;7s>4bbQ`~UElId#yT>!9 z^y>h7s{k$|8|2ob0LygfPc#6Sk@39&j1Tn@M+5t58IYlcM*=A0nG%=HPzGil8+QhUVqfH1OAxndt-~ySd4rAuGwn1?w>)N7?iZ`kYSmZZhcjnSgRB zKp}Bv^m7^`S8qw$>n+VuL>@J42n(FTMd5jXp2vQhB$@GIs?T+RT(vcF`+x*!v zTpIPLpbtml2UifGxuy}n-<2jX0?nc(y>=yDKw1D3f#;Y zl96A&OzZ0tPH_FEp{>bSQ}a?JCG6;)pJMjFzVsDB-=HD;EKT3RGs$HC)^t*nL9Vq7 zab{<0AVl@cYuFFG8u36OOdqWRyyRFwPdB!q}|9O3})^U zYC**_y6>PJZQ0o+h92<aLlS-F zI6NiqSIK+qJsp4SV%`92x=07x0)Mx_Uk^9u_c+%?QWg3OGOm{&2Lfv_q2+Z5j|Zj^ z)Li@VqEl)bec$+O6milV%(%+PE30SFk}hvYfJe%joblSH+z4NcjN--s&QV%Nb^iuB zF3)S30zWDj^Zme7oCO7#sUuaA#yySU$x&%viUM}GUjGwai;e2b*!%Wn9F)2EaSIjpe3H^31}r=X#Rf>9och;aN5*)kv}W(XU@3BKCI zY~0r*A|Q`$@XUrh8@~lRDIwmv6qvre)02^%-4s?PU2`gR*|_7FPCH7w{7w3ip?KTL z>^M~!!APy0GSm}|_IV#g+JN5!$UKu0RwAw$7DZA@z?#};s4>%kHN3P4Cf7wxjklTi zF&ev(Lb_^YWE4{cOK(``jv{ljc^WG^B3a!BASvw|Jk!Ey?>(NG!Bz`DL1C)`)G{7Z zkTGPH$sUlKfe&hSk93WtHrH~{dA7iEvo7yM)zM@s&*Srpf$1HleIePzAiJ{ZfmJ@! zK7)0fG&SKTM^dxiTOXLSxF2-uiqG+`^0$+5?2s0 zJU+!Z9GeF=oXWdW1Df_vryMj@qlUWi&|q>b&s_V#w>DGnNBaTXKqq20Kj3R+bFqeq9Rpm${e13lh9Ui0n|rzTy7>oL|4 z%*~hCINWO+(B1dit9t^|Kn)qHJs6o`uK=m%Q!8pxyYXpqH6yv0n!Ywvr%5`=<+hHw zJAc|nTC=4{+IafZvkJ5uRxq6s2Jpyf;>%*Zn{yB4n)-xb*##VH{`e1;J z_VDg_V}RTQ;a%;ER6Bw_NA#e7gw)A5?SXxP0S<5E5>#NojB-Yp2A?ZnUDDe6#VcJm;D3_NO9X zu8gT&I_zyVlMVjm^Rc8S7VK-x)ey*zU={WO?+)&UN@k+R7hQO zsy&LzVQjY3tPFJ-WT0CO&^a;W?ZF}gbPW{@3dv-fGLaJF;Dxbko90?Vo+N z+!~$vITbuLC5ervmQl{udN!_BNP9B&0WAD`VC7N(+ntfbB37`KB97>Y-rK95RZV5> zudk&(B=Iw|FbhTW*Nnt?%}bBT@CCgz;z(}0*OdFo!2rhjSN8-~tq zacukBV7!jVH)zt$;u?|ir`xle|8vqr#+9ZY(?)qs09CiQ7?`_D^LGZ;+(m}70pg>Z zyalB*;?O|%dz%7ygw`Io-JjtTD_x>6B$N7hF<`?5y#9;BAn|1@Lv#x|<|kG$dP*s%H>&(=ui7b1B? z9Autuj3{@)v_no*3p`T|OnRnmc2GEv-v2D$Uf_-EZwjCwodlK_X&{LWa_x|_Y0lmE z#50pewl*~iSy*FE1-emrMGVPP0lq6|j;w`TFNTqb*(9Shxu&oqpL)pi@Hfw!>5WXS zPfmCAxhey=l*x7IVkA9zTYz~qEYEppECo0TGiS_+*^QRDb9i^^=H)ZR*4H$fHmO

n~^GF0M_OtA&aJH#zKWrZTpobvn~}MLK}&3$9v97_BMt`CT+clvwS(-95<#s%_9@V-o=Fw$dCbxkG^M z`m9UMJzoQ4xg)fDT4X|z{eTmuLnxObDUV#aN?7+??Rd7q8~tf5E(QH%WQz>PYlkkK zjxtw^h`?rwNK=KzhSoUD%&%sy>B}< zGE%ay4$MWr2Yd5;9TjA|_XK7`wrdZzOy`+w+`?0W+0$kE;sLld9<2gQUoxPp8_K&< zTqcjEE0Ju7+%;`X$Cho7n=>N&wK+@92PWCKd>}CY{*wE!$52E)LXi3xT5Ivnz5MQO z${txJQ(WzoOHtShY5X;vmAWBqx$LRKrvhE}^p@0_o8p;=t5SyO^BT_hnv?L%?>xfg z)F|K$XDCb>xHy|yLd9Did8)~VJOZjr)>NNC#ic`SD^M8J=S-7Xs6)pW^&6ilnoBwI{F>5l2IvpMgjA zbaWp@NP3>yC6sYd-J@KcSPP2n8e%VW{^6qmbZ15@ff<|Y!OOf;5iGBv0aHl~G;SG0 za^yDx#kNjY%5B^8N^q z$jreqzf>`-X-v=qO*t9D0L`2YO-kz1l)|2dB87k`5rPzDMmf6@%w=B|Mm6$tTPn!& ziB_QQ0~B=oteV=5Jc+<0qHOeLG+;!&VgGV~*g8+~y9l-ddE}?bNibgf2A#~?-d+`$ zQ?y%+HZItP(1sK7Zi;{x=m-pw<~u2DD;$^2Zv`plKiGu?L< zhg*6X_Rn*X_sUC$Do|)%xvHOV1VL@0D1oE`M}o1OHii5cEPfUNm^59dURtnWyN)1okIZ>3m4EMpT zd2}eX%yIxZj&5H(kjY&q=39sZ*Y5 z(&zeXJyjmHCc;AO%PG6bhr53#fNXh4JBd*_d5r=7qT*2lBKZ2?qM?=x39z2eUB zq8F?i>uXg}Zq4zeoxD49PM(Nl|0My6B0%1ABIyvCq6)C)=Rr;<$nLIJ1{lCRk3%2% z8zH@GlrI0!!(O23_ciEZ3_w>h57Hmt*%bl$Zwyc^2JjOR525CzLD!RUV*s!B7&3(X zlC{kYM9^|Xcjcsia<5J#EpB}Cp=W&F9=6dCRm9!(pbWh&^O z;bYI4>+ibPHlz(#@3||jydYBLo&b7Kc~2nx%{^->&AVr(@8$>W2*1wQ5nCEAx$}sd zwVWU2>M5qLw--8(o(!Oj7qn4Xy|&JA_}a$ESltw0@?Zd|k=65VlOn_I0m_2``n)!< z7O?!>mY||su#Lg-kyK&z{_~IDAEB_V*&z;LY1Z8^np1p~jU&AJ=^N=M?xPkeDCm&- zn;Nhb$rSz#fyorzWSi{U-PtIqWxSaRsH*>!0IHfMBON6aY?X1`Wnrqf-4Sf`ApP7; zfjO_b@zwrtBs&OF{zrm0{5ZM?nLNbi8%E3AM6cdM#_0jJAe|Gsk!}Feo^v<-8=z6M zX{Wa-l3Pv=P?M_w=K(IvLvc+2b*9t`FzA{$mhA>_R5aAIr*I)JCsE88TWz_U$*{;N zU=Igy_#Ko)HSo)l&De+vGG#CrtnIK6d4=DN=BJn|w#)$3{V!;|3m88L_`m6z!9BmA zZ79l=`&}x1ExCDCmywUp4WNl^VF1*4JJh&3l6I)YD5a^oT9TZdWm={dx2L{wdSLZg z02rG3!812s9C@A+ux6N?iyC_mb=UBNUKz5e&IoK-06G2atA}Ov20bTX&ARL!LiW6p z1Ouwq>}34ut&44K0gkm&kn)c8gs|#vUrwz z1osD~$fu3CHIgZqyylhN#R-As4Ys_NM?8?&;r;+QrB;DCwRy&H&7HT5sKA7481vR4 zNTS4+N*KU@prq`|ifM*LX62kE=ROf{^j{qyC;A5iONuMNNKWh8041_pI3MBC?c%jD z>UEG9&LIyu=4o;qd|bV^#L?mO-DrUTXlfq88DK)5)1<{;$8okUMk+y z;>f$t1*U7dydf|rDzV(MrEzP^6yQZY%ex}^KRyw_cV9;*JMRqO_h9Z1uJBq1 zugU?IR8T^kydQ*`-&O@Ewg%Aq-+NqO5~sHkSo4|yIWs*Lm{F#hO8=Njon5T&BnaES zAb^KLYI}8jB$sI8Pa&c~zZ7cr4@D*>912Jp);5BGVQ zh+lyn$6#dqi*gleczcNS`@$ApgCyST?E2C}It_Zi@DXyAc1Z&B{AftJ+(-|G=LgVN zDeM8SDRtfF1IrC9n(R|}S%%VDft>C-6rjZ$)nWjD2q7>18-+vl2=^(x`@b;(T}5}> z40;PoEghEfU|^cpK2`Y*W!_wR9T|@YXwiEmq6@{nUwIpq9;Q+)gRHdNHr|1BQp0yO&0ihzjB-0~4UoU8 zM6y?)xI}bkYIIj5?cdXNU~{Z1CJfp*p&~z%Se*`8`!7BhMM?*#l+d--FY;O!a1!7Z z0IKrBus*iER)FbM_XA|y6u|2J60Q#ou6;g0hQaCDP6$yzh=U|m=a%+>p1P3e!Rd-h zH!KD)T9H!+ul+WiOd;eA1-PUe%En>Y2wiHpP-su-fkL>Dw-&+$ew{71gSw!#$N*o20S$!T5qY<8haOar&eJwBU_mnR#u*H2qOby*uK1`~J3gR@-#2PhJ70-p ze!P8oV0O3hOM&(5nti#KH#P>)VXkRctCDAc=xH?$P*P;irU1*TJ#2JhS%C(*rNN-J z0)^(4!aX|lXWIkRGM?4D=Yd@xEgjKbCo&}lnYBJYW$;m;nV>(j|Rym>)jtMtk# z<}el1j|8ZAHU~)*xM$uJnAcD%7ELKcU+zVyEpi|7l6HuUr7D1yS{;0l!MG>fr&5Rd z4KV%ZE={^Yt3TO(OC+1r(x?Iyw9&->)86+Gi*gA-k?%{0&4K0a2t#O|8NlU|I|!R0 zoq^h-4y-sUKo4%ILR%qcj{(ZsjD}K6-X9A;3Y7%Esksw zggSRnm3Cg+LPIX4T~x24YB^6MK01MZDCR-+{yp(*K+UqT+!R>wmjm;2GcRXy_zeiL=|BJtnNc-^Vh*O*8yR^e4vh~H0dIsH(S~2e zA6*AloF71=WeDUc8fvWsXg(UCJP4o-jsEDoz{Vd8P$5?ZWAlOnPhdMh@5fYFz0}CB zL%vp1cz1v{t$p*Q0c>p*LF#`#fa|yBBV=e=R(NI)X#8Gizwp@r{f7cfP);WxtxxlP zB;nvZBDLn8cSgSEZgni&aASZUUqCqs@n1C*@M9nR_^Jwlu^cGMbl2tjR(jf^f3v;H znyzhu=h-+bO)u$pZSQRVU9At*|H0=1lyv~F3QuBdS*iKk(tzswNSL#@WIvUWJJh^R zVi!q=rMYGt-(y4#2Gh7JfcDf|6Q#W$PmG|rp4K5+^V4P^LjUR&N|Tp&kVDkd9n1W}XK+8T87=0574^I~ebJ#;Xfa(&y>`U@D?{#WoV=t+shbz+xo3 z=!~M`c(ZGl$Fuw?%SQv#p4N+jd8$)qR)11?d7R;A_;}jq&Liym|EdtUbAWcmdV%xVcoRV zV|3D7^K}hXdBo$r^y>fN?Cql^t?D~ps=5jf4Vo&bLIMIsBhWS^@?ww$LO<110SaoB zRM99leMArhWO#28n=TrJwh`n_a3H|3d20_*XYw-9?wd$5$(otF)}58y4Drs~Vd2cI ztmNt>X6_wBB3IA-em*-nhwI9$b=UpleAjP3&vTw<@88@0?caVW-`APvKlpfwEqFm$ zox0r0!k1-n>ydi=+nWRhcgw0+M7Eaqy=g5hE&AcJfe}np&Fth(R8T-UqXNowYJrx9FIN*QniOV#(&SUv44OCv!b&gcu^o1jH?W=~8=-)1! z{+hda?!AE-;&Gd_b1drpn&lhC9qQ(IbDM{~_9jjAlMHSL#7K=30D{FfAM#g;M|3ge z2NLMA%&pJ1g;FP{9}DF=WW!6fsYjjd?u`G+c~Cd;zxM}J>buVi<(y{kMjl4y{_kD< z?|+yDT<0sVJWjUt@m%v8voD4!!w0Oa5AW+xbvRTGf#H4C+XAMA%_OKu^|x@1|5)4< zsPS)q;&TskgBV!l*Mt_h+o4P788`7=n>D)!3R&7S>1mGQ;Rm_qO3Eo5DlwOS1CKu9 zLn9bApyymz2o%{@#Yb8VqdYH=z8TxG^7c{?dV`6I#~K zT9uB9s!i4hdb5C0+TZfN9eQ-y<`F=ir{L*C{yw(T!R5rK>+(oN^L6kid=?6Unl~%I z?1eEMfbiDwwPRrM466QQK*gLp2g)0;Wbu)J*-+I&>;5D!`0xCiS$2y3ic z5+mvDcmd^cAb0-@|NAqzHus@`=h52lkFc@~Cj$CsRYhm%srT*kbHf~uSxGa;Q&ewC zCF`@me(wu7&G!52Lsi=XtqO{7$iyYs>B6kF%N_HF(J)T~Gf;8>^Ln5ExP*s0fr0gV zE>v-m#Dp!XTOxBjm*Ja-7~g+oidS6D-D?B2!vc#p2F!DLB$%Cl=jvRWpuh_s4tRuD zncCONZsR{54KyC+E`oO;Hnh<=g~z`WaCTU2>cDJ&-l30ZfBme$W48xhS{AaYM9+j? zn&rk$d|1gG)1tQRKpAeC{lg6-Eu$6(Si8~0I)><0p)R5=hRwhEdYy-jS;-kS(Ovhi z)(}O}Fk_!PQnbrI!Z)MEbyPs%4Q3S8`{fVS_|R%Zrqz0m(v+r_jEMFIBlMVtYIS%p z<%UY*S{w&)3y1MIwI6vaCbXzSu+UC z@C@Up0{(=ek-iJ`YV)~f4$7nThR>&1e)I2MC}i%bNQS?wX^{qYpta{4=h1RM)I2AY z`_GFjkf+#3X$*DIuNjbfO~1BVPTrBbcha^Y0;o}J%mRy5!0ySJGn+cME7$t-0n@!t zsMI&{9Mx^3n3D$r)}@BB4(4DJ=Q(KTLRdfTCI#fOY;{;T5VKYDP(8&+~BMb*a_xG_n!aBZmD>+Ba~m^&>T z!04_|p&Ccd0)4#MV12+bNuQe93GXEgFo{1zptoQP)2FzG2X+JYn3kV?aX|M~G!e#5 zpAOXT4vZ14jMHf9qeyU3AEw*W9fSL$nL@ zbmdq>Sl5R4oks$1(pXf*Jw$ffIxU;ObXIO0gUWl>MD63Gpqw#oX)658=6tn><*%#@Dou z`CkoHDdcBD&G|_hyQhBXez+&7Xy;`)0noi?0n3zzoG4!bt_?DAfo+ud>!wa`*FC z&n}qVzBJIcS#+O`tpLsMP}3%#G@D$1A(R7ze`*cBlcE#)Cga>1`eh!zhBq7FD(PKs zOVN41>JBI*eLuSEh^ll-{Kr?V%f~{gQrkC&vfEY^C65l*hq7na0={%^ivFyk%BuSGpUgEQ z9s_^h{2RM-&57LJ*F#NcQ5Si%TY&+}pttBFWb=Ph*xo^#7Uu&dFB**L{N;)Ep8P9w;HyX=*ZJC?p<0`9t zj~(PUsfJUlJN}18jJD6&d|K|0CRmpehuxlQOEho|4IJ`52lM)8n^2Nn{BKcjs&V)G z0`2vI@!5gyIRV!!x+1hcp@?g7rKeNku4ZY@=UNFqKNU(vdJ7_(;JrPHwu#852+Cb= zuG6ylT@=$gyS3J-OI37;Ej&o=S3&KC`fc^)iBM%YM+B-t7`60i!WJH0;Ng2t4;XPf z-WtNN8OAiaIiQS62hP7a(6R5<6%_TR>rn51;mlCeSwKtv&l^JNrAoT|V-#_!O;ogT zW5Bfmc%RXd^Hz?XXGi3k0~psMJ&pis2;i3ExUr2Q?dVej*RGb~gChsr zTpiK2u&sZ$9SQ?$V_^Ow@9?Qm%KTv}>G1Vo`eetArDL%-(CcA-Yj$z>jDWM2z4=g% zFMoI_H*ky^;y-JL8p6pTZPWFsQl7PT@|SoH^Hbc_L!oNehocE6xXZ$hN4W7opt>hu zHtO&_p(gOfp4d61-#9YGAH5LRAJM*!$n1{I<+?~)$D_CH!@3zSH3DsGBz_z=m7atb z>_k;|q86UcYv;d;51I6Iinw-iiZfj)EODGNLJ7-o{fy)hJ7DpkAj!|D5X1xT|(Pg5b?vufc@msa=QdRkMArf;sj~cEaVC zXn5bRzb#;BdM}U60AsirH&pLBl>cThYZGjYE2h=IX_ZG@5!y%V9ITX;Y^nuSs~sLN zyRecRaMQh=rYu=ppGQo*jh+eBN8#oW_kiYae;`mirp>4J6&hBZ6|kmGW0l208Zn>T zg{ti4KXy}`J19_o*9iB}MOr$Pi%*BrgHT;#nz!=EAM^2fZj9)0WW?mYP&z2};Lj*3 zC~JDXvh-CS%8edx@rDyTzF8gjy9e=7oAtYV$Xsp-TxqXPYw~cY35<|UW&^Yeiw~j# zb-w2Bgp?^$#Q1UE_ZFywfiJ+Y9vbUJTK|er_LtSBP)^V~Qt~I#N7T7TH&LOn*7P;y z@qCIlVZSH1K^D-)?wmIOsDi;=&N*Lx+0^GbSGQG%g&HkC?8)^#nB7_va5Zzy zyYER+^{E{NZ&@l&f5)Y&8Gp@C`W=6erN~ju8VGs=;K0j2;w@CS_ z<<}3bfzZlxeeHuc*R}yXSL(+LhTPB#^nJm5Q|vt&FjMKcTmQFeF4v3+4FhKF6dmBt z_>Z~oaQDSPo9?~DSNa3{Bd%5N4z%6|bw{Aj-Jeh#TpMVd1z@Z8J$nAl4X!l<9jFS* z9dmOS&W?)$GPZUIHwYohk+3&G>2qjXasM<`b^Q8#9z zGbnSEBb z3MM*G)ROJSz=SOzAadp;n(4a0z!C6}8(gP2l0doq@6v`tnd3lVgYy zDZD4wY*BwpsF}q{D8FWA(VTwml3W`o_}fFBfS{_!cn*uQcQFy#Kyy6XdWt1GFmbHg z*qveroix8YJ2uoB+(Y~HfOfgN5vqmZxEfMbb}UqM{EXb_^KpZ$7UF5~wX%N@Nvmf5 zPQwW8blg*yyD}DyC~J@4q%q-I1Yk@!Lr{i!)y7a7r@KS?M6`}SiU;Aj-iE*ql)9o; zjoSdUvz%#+6xymDY*H=yH-;+PBW{K|oE!9}J$PWpET4DqW;bUwKgc7zz!8SyiuzSt zqxKUSfvHv70)`r%_jTxbDGqd1NM_FZeJIpw{@47UPR1d8PnD9BR9CK*7Qrz2+@?Y$ z)P*n84ggDB(ozBfu8mYo8S$1B9SqE2I9(W4=YLJilpxw`^k7pOXxhKzUawEFLMYCS z=~?Tu6wBVyvqIJIQU)iB2-#m@u^St~&K>$m4R&>kb%l3CC_Qz>4M(5;eu^=OvsFEq zxN^;bd)afVH6Fxi88Qc`A{4NwSS~>Wlhdg?B1ng6cw94Z8 z7jw7>TW79X)DWm%#qqDXdRL=0 z;b|F-;eji47nfnETNbh)t?l%UW_!w9ATn|VlPfbT9lmA<+C< zpz%y#iUpX3oje_C@xnlpwmI=SU@$d7OIox|^DEPt&!;#>bL{y1WnqUrUFzI@AmF&i z{Q+BENYQnwW&PT*DekNS^LImx45Dv~JkG!kxC?!w*@PGP{0i zic^Km$1lL8O%P3UE>L?*paqAj{eaU0#@Q~6nN=zJTXZ9w!Y-8XzH(o0>*Ww{Y~Q6@eyuYGVSW5vW;;*YDkNI1lzxl?ykW_wl)TIS}uk+xi^~Tnv>5% zz2n6xIzwK=5FK@FLQrK&?Tk>bzb8<7I<L`LVTIeQ9mX}d>p-@DbEx5E6mJc9x=w}a*`YZH)c+!PKg_koKogA^ z+g=wbdiIkY{VMKiza?Xc(sUffoES>ivWT6RtwNZe&R0iaMAp89yN3h}#!3}Ll|qcDLWlKnQu3t;m;vC_;J+RW6H(c*AI>i^%ro`+UqQDrhY^C zr;F_KwHkKm2yJXTcw~IaKRhzDR`A&xbg(!5~Ud(Q^BwM|T>qY=;L+2&K9%(7HO%K?$8nuge$Az6|?Nq$!Hz zISE}F{m0bGj?aUMmKYOvW&sxgPS=K-oE{jzD=?}8)1v~lvjdLWcH<9PAK(UjsU08K zbpgde;5tT1_WPZ2DCb=+YK0n20*0$U#`ZmD(POfgFm^M-Wt-c@DNer@P$wTkE!+Un zelAoOwfO!Sf%ZJbX9JT@1x))t@`+Gdx2H-?F!rCJ%4*K5a82v(9~R2aRdaD!W7*dM zJNwHv?ONwD3AdOVCYK$YO;tUl|MH96cquT1?L+jSgTHqe-rhqI)BUIL{uNa3B~16d z2L`qviY0vF+`a+3ww=d@s;>{UwgskV26k0}YF)sSzjkj3bs`4V#{+x5?G!1@y*p4_ z9WdSNyzUU*8-t8dU>))lv;W(txPd4Z(aHWXfuF+S2428i-?YgMIBwAEf|oveZ{*g8 zu?A>$_`HN-e*T((eRA=l@Ojn_v~CR;{ZFsv5u(Tu%IbQ@mE#`_J}0;F2%I!BH!rXM zyZfwM)3&;Bavn}j;N<0S^3Hb#%+2klG4_ofx!~_3nj?t)p{z7g%9aw<(u1RRX_St+u9Upuul;_hJ)&B-kn4;~|Lj!7i>oZVD;la(^P!v~$ zTDqR%je+4+P}c^^$N`T&#f?m!4;b)GQGN&7oh_ksC@ng)_PqgrA>ifDhBDbu%;2FE zhlp&5Ehs_v$_z1s{t#-mD#JU8&JgFoQ~VJY-+8$cmxA8;(3X>d`Lam7-}>MXmry{Luq;6 zL;5}Rph5-AoJ>%GP0he$o@;jooJZV-dwvPzq1err$LlP%^9nt?3YkYmb zKm+Eu)~~_q%P()gH&k^-;3$;FPntn%Mc^F(@)#n8Rhr+2 zLjA{OqwAoAWl9L%H@*=tt#s7Q6k)rIM?9j^_-}A(uC0Nwrm~Aw?4fv8U=KW&Gw>yt>xM~I5R0`uHb-+a@TW?oy+o74og>|Ij-^dK*AZSXF9M(V~pVp+MIE( zDjvQdP_l3Hp>!>t?^8RRyV#qn!UpdNH8?C_98re#2&Kjg>=M>o9jbV5n&9BVskaL- zusU^a%m;jFnV`LgYqZ?dWI0NK|23&|7RGrb-*Eivwko3xgQwat+(4xU$mr9^$g>Gt zf7(Sn1N7cSnbjkq`h2apAbifZ@E{(mWH&K9F2&=|3`~y=EbwtV5y!g5LoHlJwFb!F zKAnRCUA%<}y4`iIZ3vjo@8CCPCkD&|>p}Wor+99_wV_MnP@W~)KPi->)V6K}=do~d zU>An713f57tW!dn%yie_YxFLTnfez)q0bfi{HCQ>m!{Z+SC1bO=)kZxUd2A;r%zBk zG%&=!)UFKJu?#;Q%0bc_SA_BhCZ4#FyL2bx%b*bVbVtBmW5*p(aJ-M^xM;ov>Zhhy zdw?5ALEG2KxP(I2(%O?7_7Fe9Dqh1N^e;boA(SbQD^QDVv%uA8#P4kjn6H~uq3qAg z7zdwieA+`XjZgQ3yY|x!cxocP-w0K~HC@3N4w(pWw`><}Z^A1Bp!TOiwcwRp+X%y2 zFiZ|zvYFyF+=W*^)+xXoa}?cw5^4fp40}d5g|Z{9@Pv+CO5CpVMMb-E14ejc&%cBR z`dCfeR9NlFTyy$N9t@66@k$hU-7IkD+JN1ilR2|>DK27zWnKO5P^}XJ)1w0e^mNzp zfzrvLu`Tq}IoD|mY7(eaQL-t{==9N3Qz}}c%DRA_dVpIW$1}Vr&_`p+W2 znNY4v(}w1c7$Y8IzpGCT zn5bB3dFOy!Gc+*pGF9h%MF|a#%v}SyDJ-cEd6-5!raOkOmBBpUsOPU7h1`L3!KCBC z(WNOm9O+ZZ>?R6ZOy&h#c(=2=aQf{O>ji@MI6Pj3YdsD*4uMV zipF}a_d{I}&{6#0+)xuLZd|9_%8#YvH)aG5e}&5!cLJk+VEcsuBexnc!`wVY^wbVl z6@3H6^hX@8rG7)0{nHx*%5BmP<-#3Dq~(NIWI4V!U?=?En?jY?`@v9+hq$rqJi7Re z0nJw@H|so(NbwD%u>1DFW)yRZcy^;#YjLFts>NFz_ssZ)%kq4)V^{;U0sm{hWIN0$ z)0Di_-}KQ^JOg5QeXf}hS3Ew~;q^|bjnM6!f${H;N)iY`~Tie{2V$B9S^YO7`6w=rD}` zUdNd?W`Vuf{`4(@K0a|e7qA*j$A-FceP9Sn9_FRf3OFiY+H3mJP(RzvwG+68VlI9l z(B0=8^Pf>ht;0;`hSpx%gk29Xq zXv4gvQ$n>7mwjlp5Nh}}iXR7_2`pU-g^n*h9r)RW6rTfNNp}|%{F^==&`Z6Ja@FPo zL)bn>3MS4+PlPgi{)10&_s~H9@<10QG?{LKczi{QuVL{ev2YbsJJ7u)P*Og(a_#28 z;Q7FNw*(e3zxo#gC0%}asFxQ5D@z%sUrtdEGJTL6Zx873bQvzW+4y3vO&EjkG6h`5TYFQqqgqKtm{xxsWpxbe)QmpSc>@)xqrM<`<3wYN7LBejy6U_@ z6RCD^*M>&}WhoP9x%S-JKw0^SL71a(h1L63aRUo|V-|R68^zND@2mpta{?|rxw9YY zGK4oqPYz||K!;&MI!1e4XDPn_-dsE6U>-Riz!nS=)b@SR_Bzbj<<|%oR>RX*(N62!J}lIZ zZv>pOAAdMh|E9ngy=u~ESENkugW4O=o0&7e;03P1obzxV74=hioB2@p%E0W?fhnK- ziE05~T!!rd4{g-3{FDQ4>CFW^*S^fZ9h>4#7-5{~tlRJIPSMPh$~C~r=;rG3nHn5; zZeWb3S#dIr?L3Dj4)213Ye(T^{swj2eo??}4<;m6<4al>2lOC@;<9tgg}G)zauL5V zZU)TQ{P`zCP4E$VhBxpGW(dZYhiah8&ak}>Bb=ph7&N?*yVnLBGTQ5!d3Q=}{F}Kk z{Vm|?z~EN`v#o*JmcR}ys*SfOTWgWq=-$9^5emOyRN!wqt_(7D02Nlz#{rCxs$;7@ z7Vt3IZj98_e$PsA!x4e{?Sbzd8Q6%--OpLl^ss#fca6fwaHxN1Kuh*Kp4w$8mI-cN zWiCVcZag!^!7N~!>fIZl&I_2UnjyyaFfict9=q+h$B6MESUg6he7ythCVW{9UmV4> z;D)IU_ng@$yDz~R3BBIPw$aM%Hj7sFX=M{ zsezZ_T4!6pgt#tpfUb=(Kg07j|2EznaL&*H>X_G;4h=~c&-G%c2JbWVQu9B!)_n(Em7Tqq;Fe~LD_@O=@H)ev_{ z10f3M{JS`wjyLd=#?%f={YFob9mNeq=4k9oCxkNgX+0ClFx0MNL`{b%>)AAV1C8z- z7idzycT@p8*EP7!5eBAh{Rh0GgSa1~O|G_a0IgK(NY&o&!b3yV;8pjqz@D1}6-}MH zBQRYIv=Ny>uYK)wPl__)WEfFDGVo2zs)vD@yj?|2D=SH}tlu1*e2}`-4i1!j?6aXN zKK>w@78hfeMJK%)+*p2;QfJ$ubGLdUlK|!eg(Ci@r?s; zDCYGv(_2vndqjP#%3!o!mUB?u_Avof%JGM>N&}f&$pz}?_Cz;?>f!!50?;#zewDjg zGDc^u4E!6K#$mZ;j#g$jZ{-pET7|f4w9*7v4HmmYW(|CP7(ICVet`jzd0BIUuC2W^ zP!7Pu4{3Q#y57M70RN_D8;A@sNjr7>O9x4_7jsQP-G#=^9Uhq7!!=sj;|1?P;r4?s z?hdYCgah7+=Ug&3LZ2(Dw(!dV&uDZae65T)KiBj$3x|YqDT7Pg9CEj)fpci)K%bz! zW4^n9;D3|vdPsw7#{-S825R#ZQEF{#54NS|ObHTn zL2pO!qiX{tM*4iHUC#%$A^qW&fGgfSw4k$?qFK5>M=ge^g{gx+yt0pP;y~^4Ye?G3 zs}k;Gro$rwE3;K*KaBKUaakh$Z9F#%xWs(%+)xIeV?@@W(T~&KZZlv5YuHiotfz&t z-*^1c_%@I11yC9f0N5}K^&A>8gT*cYDZT{JHj!Wl;dSVBYY3|LG2k14md$@Dl!I1c zwz3=WSS+BnKA_fZLhEj!9nMm8_}Vw?+*K{kpWVwgi`uu zSPYW~mvQ%VfgZ|GznUV-u=C!4eSkC23;1HQVC{!O6`R4%4NhjN!2KyY6s$cEO5^kl zzmic$Bb;9_zJCQP`Z&2BDdB!;L-#A zl?j8TyK>ENrpz`Yvj3YpyR^=w2knbe9BvFuM}Z%mLa{*+O{y*dE(Xx?r9%Qr)iluJ zb19lSSds6eS^(BPypxBY;1OiL3xim(^9fuVVH!(U05=5Ykbe11Tckg32MlXff$BFY z{tF)YEvVmyLItM35^zMI<96G%9rMNy=Y~@$FQXv#8pAJzva>E}(l4jD@`E$Ihf>sU zG;f1CHDH=xgq95Nqlo6biV+XL6PWDf+C72M9w;>D#IpkX-X746Jc|0*Is9xV*H8;b zMP;4@=Gd_ecuQ>-xD2Z;{WNB3&^Cnkaz__l5e^;RPC@pIZ^4VP{oU07Rn^sn~qhwBiCHLQ(Fw> zWRAO&%3%4XTr+*FGIX(p(W8M0u5|ElK(E(5fTH$+X?#y3!8Dxt(I-y6lHz#TKK5WA zk7*xAhSEs3ApJM>weL#N88L?ndNVi2OpeKo4&0CjE^@N#I2D8NknggyofbL!HQ+-B zpjTZyFwEU&FbjMF*X)q?6~5M47g&qtI6Xi3V5sTwfyM0sSEt(LyL!h+^)H{w4f7@X zPJa$*^Ch{~SO_$~2K7w9bv$Ka4#AhDt`M?Q zLM3bZe2Qb@p*~`~Oqf$Ra=4E5j`$Lsc2mjmJH&AU03{MY?_Y2tdIv$)M z3NHyJuEjarbQm$>+yJ<8&h;7tgR~P!L7O0e?HK)r@K0oiR3=9kC}3h z-D%vLqPq;bn?ji%R~aS`rf7bA4vpyVA80%rFdA-Px*ZIAB_y7p2R9(24<8wL0U2qg zyWy_q&?}ju2M6U^30Md)%3@I5k_SuZ08CG~kDzsDZuGf3LgAXosD`sNtT5qh^POWh zS5@xfj0~7(2-Jr)`Q=m^fu!g7H#uImr5%&vPidfDw1Mi?W`SM>wXAwm{EMmL zO4U0!MRV7#dVT}<(C76Yqt~1drK4~|qf5O{(Ol#+O{m=vXkQ<28K+LakNLUs`#<3* zx}Oa+sjjp2Wh{gqOzsbCL=VbAWwf_}fjJ2>#2?5Fr*B|pH8 zdce81kM4##Au#>`)Omr8aJP8x3qpC^k4rIo=W^rgfi`S+>di&a-ARgL`gnW$$z2qG zDe$AG0`~hqJvr2F1Z7ubrn3DpinzWdd|278hl1Go4=?800!4ZQj~lf&Fc$dUh1`8E zU^u-UnU|S31i!UO5r?ug5A|%IgJ&ImD$vA^%I=jXpgs|p9txlqCC0=-(1>imt4F$NRKz=Gx~2Ykm{zUjWYs#=iwcC|(wB zZ-v4wt-B*I_+r3?UQ;a80AuT7C`0iny+Mh>(MkQ4Q+cDeQ+y~e#1Kt)ypEoB9-)Yy zI+S)U##0_@FXo#0Y=1{=h$a?qwyecQ=6`;BZkRWF;|1QLUsIKjOVQ+14GnfB%+5+q;8Q7e833opp=sy!U;nILPj|$y2j@^wax2Urk+n5jKjB)ov zq0I5PdcqOk#b}~i^+;wO^eSau_ zgz)S^D80&4Ft!FKiwA+7Q#e^11@7TTPY22`QNyN@hK)Jf6|F%doDAD^7!=m%x-|QJ zJNo)^dv`9kcesC^n;ZbpUK63NtuUEskG+Vhe2d!KmpL+AKq#MvCC(N!-xsQjB8_;i zLO1M+WbuUOWRCfvE{(3ELqc`cM@wZSrw@D>qgz@Nd0i0$Nlbb~gB5Pl$ENm#(kBC)aF( z(e>PsDb`hB-d8Cy-eU9hVWvu)#y2FX!$kdGorhmuE?Oa%3AN^PLwyia*?xRAv26BY{jpqXX2CZK+z3Aj~b$)J?U2nY9fVpvbC?|m%_lKI%HeY%t zulma>Fom%*jSkJ3yC~pkTNl9`XU@!sI0@q7a3@-fKt0j0n&mlbzf=#^*d0(%eHhmG zI>75Y!@!?l*li@OvKmF|7(d_0HAkdtv2Oie_wGaU*h$KHw4^0>cJ*c zjNN3WnrNuD`;J^I#=a?(*-I1HLwY}BQD>K&Uh%|0n>t43UwR=hLwF9Q=VALae;)riD-$-m_~<$ z8p8IMo(uScR-N~RD!IsAp&U(|F(1lAiVG9WpqWh>;ABdmv?`QSp>O{T51$rTS)Jfi z)ZoTkYay-LRe|=k0edS4D{icr+?s1;)b@NR1!`)tzBNTfyA~hjKAS)KY^VwHwcj!+ zHolGGse!jY8ZeyMs?722&2Irs@lkxvN?-P^WfgcG;gx+#_(azg zoPB&Klg3WMbq?l{d4QH*-VRh>4wx5hy*-qf1U1ohRSp^LVQUX_7Ym(I12d4$4_<@X zRmTQ)po9cfWeq_ezp<}sHVd`=UEI)JqhSX0|608|F~tVjRKo@hqsq`6ZE8HlH5BRJ zph!9ZPb1m$Op2XL12t6TdKBcl7Y2rCNfQNeVcY18P_1VJu4$X#x&HkVfwGbujWCi{ zEnF?EZ|}mP&6~MC3ujVd-H^ut?!$Uoc^vgumi`+%# z`#k`KxXbhuj2$6!&)Lxv4)&(lQTl{~D^nG&-#r%rxHiRp-(_mA<1t@@e`XOYOuVd% z9E94A(Y+3vD!5Ub4`>j!^1ok^q6vs0$DUFz*vqs+wZ&)ow6*xrY+)e(VhX9YIF$=Q(RH_F0^$5J$PV9V_F?%$uH&F;HH2z9b<#~T@_fhXx*P{pSUkz3ZyzK)K97XI&{Ol z=;E?&l(aRnoNWm7R9nPTzc}DZ!0Oge&VP(Hg)(SsVeHkOfZQ-==`4k-g)3^+%HKXs zSTeWlCwui2J!3{^UVS7*C;uwG`xU-x?!l33r^CY-&Jt|W*BSn{)L7h{S+H`x1u{Qw zbD*rlL&$ARs79Ubs7l4<3$^cKJxzF3?G3bPjM2zun4<%5F;554y6$0&894b|=4W>E zA8^ePfmB272ezad;#vd17O$Tq0DVoFNHF08d1N- za{W5U(n>nNuZxt~4vg(Js`)&kC#>LKAI8ev12DB7U#p%E7=ZU~57o7JT&Nk+a+lxE zw}o<%?2c1HRrZJ<3gsFW4aac$ph2$bP+a3sQ$=wPx>sMYIG>`ShC6rLv~m~Ubxh~< zvTofV%l|MQcTKN7)9{u&?3vJgB%_xyGB*Qh9OguU89qC3S>lNkvuE-jWioc9(TL3B z8NY*pxjJx2P}xG#ha%)=1;CBQ*#P#j#J?@l-nHijj1!v#h7;VJ1L!hM37@y)^v#GE z=J^{u1ElXpJA3TELRqJ$1>96;sHXdJ@km44$LzLm+$H8K%OpKZ zs;E4Q?u>*)!nJPf=RQN6NPAw*dNG~v6ZU0btIi`1Z1 z1#0UkB9E8O2{?gLLc|kNeA8CH^HN-We8ByFp6B5v;2IJ<9y9&lwg(iRD?=uzyq5CP zQ=tYhqD+)x$(}%Cdi%d(5Pb~-1DoO}Czk|Dh7^UHTpH*e6ZqRh0weh1L`w}et$k0x zNWakxReH7gP^x_ElTc3t+z`L{&`^WR0ff@OGNAu6&MAGxHMwT~pT%ADN)1~H>FjJ?!_>5%7Hk^ArY0QH>|Ns4r@gka+7YV%V!+|>J5Y-r z(l6Vjac<71lw32a=g77Ey2WD@F)&lMt~D4_H65r9{zp4gT)ZOiQ=E)bLc=PQL;W47 zO8MPfbpylRb$8%{cLrP}t7Jx)snKRv_xiaMjVNT;__h?s_;FWbv|yNqXpiFrh261f zsz0DYuhZU&R<8a~pt&hvo!uh*4jyrEyM~y-?RD(~L%n=v;1971&yy}wGm{j{p6ZRE zI`#pmZ6CFD^4`RUzZl{|%{ii~8Z4>Mobtn0FvkWuA6ok&#hU_UnurGKf$dUV-RlB$ zqtb(p%w3gXM#W#oy*hALj5}aw4?#IV?V&z9_>Ud5=tNp%n%Nvr9hLHbogP(2Jyqb~ z+;D%CEo$>p&j$Y~3hZV%rQf9gIF&cgR$c|4>++c!?&KdVUmJN%QNXn_^~Ot0RQw`0 zZb16R*{)}B(ySz4bG=Nxt)yaKp+(Ji1qNpaO2=|gsFIn*hnbYP5Y;Q`*>ibr9B_%p z0HJKe^2G^!-38N0j*-Zf2fiX zz9*DAR6`^F?5u#f;UA+LKShi#8P=hA>e_a6$aBja>X${|xm0p}uE6PSOR=1AQ0K<+ z0W%2$nEe8L_LP5D&b!m6cRtrH2^f$Xiyj3NJtks2A8L3;K=tY3sU4U&+BP52+?;C_ zEpL9AyVy+k!9eZpf$AZyVeF2gUCn2n-)!jFsLHu?eEp*WwKV|NZ3Oy*4WV|>gmqMW zI1ISbq=hoL(aw|Soa6J?6B~3{jMxg)Ajs^Y=uzf?4jn{+MJO&(oFbXKQ8VXPU4&}FVDuiY;oO$y17?6+lQ6-OixEE&s)PNy zNKsAnoMWRoM@l1f(#fm#6``7#vr9Khb`V$Z!598iwAMYiF4s!%esw6v&PJf$xFbam z5t|S*I8o}X)?a@%#qMIDM17mMiv?5<20AGJez$QA<#&^^eWP1M%xbL6kq+dNn zz;>ToemzueSvUNx-|0uVyE^dt*P-yr6D)5d8lhL#2F()xF@k@+!Hr7-(|%xvSN1%f zpFh9k{~}QPEsDPlg}7_K5}0iX^bofmy}2ABmYK{i<;Kcv zcpIrsPYo;~ImA^7pYaz?# zEMSnZgea7PGkbrGNjlE+Oc)*B1JC8!RNJD@`@*v8bIrS~GvXQ0R44hJVQbQul3}?I zigtWrZ@`RZ$rGZ44rxnDC8fXrMc!@P!238!vmL#1MV^&(f^7VFu64f3bI5IST41L_ zK^`s{Rvs(S-f*%*k_w&$90yL0cOyZAR)Y>(61ND)Oh3t)@Cf?1vO&^3 zlD&O}TDWk>`jy3&N95X{-5%&18Tji11HVHne|vqvIa2eEH{%YgtpSfpGg;%poic8O zO(oLD0d#Q%ZZGN1Le=RjMpeK#`wh(A{Jj%FJ2C9h+X9XZUF$qLIYl!aJ)C*95NLia z;Edwysua9mw<}Q12L^Wr>|wRl3GqQ6(Y^*ZUcD^f*@5m4Xy9WjO${MW{z<^3`^r** z1-&Sms5>kn4$QIVTv@DjlugCMeH4bBNK=`Yusbf`3EXW~h%zlLHZ> zeN^`sLiM}AF9PoXV7p_r(gA%cMR&uzO50T6@%5oxBvGf8wKheX<@)x!J`1(nB^dh* za0+Hz%M1c);ULM`VRzPPR)30O)@Fh8kgAh3ZWVeOS1_vrL)tsd-#)ItTCHzCn&R<+ zxj{gE9w=m7##KmKE&jJpg{t629nIbjOI%P=eJoT9XYP8b*Wr*y`xJML^z|%BfX(H9{l09|{bf2xxSk#KZdsYA8(|o;t0)^*(OE@zHkzvekVc%U}*X=RNDwrHS1v>v2Iv(y(4K67Tz{HYo6EAGi%HD~k!|F$!*gfcjETNzbq zIDO3JW$vmQO={mbI8XxS&xBH+P0P8sMXT+?V$*H4+d>)1xIVEDv-{QnCVq>L59#Ag zkC{y=gC9iU0x8XT%5w)&jUG&Fp{(EK-yC=jZid2oN@t@T;MQoq+Ss zjl)CrmhH{?P?fk?WAt?P!l=E-h$V{bi! z=MD?(KqFdT1o+=?^1s)?gZ-(!!c!L_8XOdVHwuwii8}tqvUh^?+_p$uwa^ z|D=GfpmkR$dmMi~%yjDXl3a7SgaR;$I;PGJh|DW5T$tkIJzPV`TkobgPw|t12JDoR z|MQ`t+?_PVjnpm&t_-{%`*k7dtJj2TZw_>?3b<3RMIU8ybhOO-0c>*SyRpc_*pX=r zrBFiM+xWK^dF~}(|3KM{dmq%dxwbc8h-fb3*U;kmvjY3y9{9r}14d*Oiu5+b_#aOR zI44qmIAWP$4k_+BKX<1e;}N{*+#yiA0(zA%U^uTl78st!jcWsCkdCET=jv1_s@9}x zV|9oMIg8h!2A-LDK58*KGvMA$*Pxm9_ZY{rr~#`rE#f5MU5}^eEN!D1sx}|!AddzW zYJ56i#@dWX^O_V52Mv2%Zeo_i4WSJx)Q4BU51Z^*uBU2^_XQl&_0&%4H>IY-vjY>f z^IIDN3;514n&{RjJ9-E1P3ru|7X{3X$i$bPp?E3qbl^v*ndvck+NH-fhT8;B8;4Q6 zF`#k&F79D`M?ijr#*-$vPbO2WCG<1AjyV^-WG*nUgNV2XwNP zzc>BdOPQHJCfD|*E?3hSqmk9Hxb|dVGz7$yc^h#5Mc-rp}Ey zRc0hTc`7&THSRnZ>b-$EHG5;I2I_6I{-=H@or2RVqXmi=2VAJ>Pw={?*Ew~EGM65b zyKTM2bD%Vz_VF9lW(kFuw8+4-ARI^mX_q^Z5c!;b>!pF{4+1EGeR{Z~Rgg%aAK zy@Dog!y~=+Lf~KFk<`RL#=smnX?`vAs+>bQ3$?2XG~N}M=C90#??#(?sES7p+6%oK zWf%#)US*AJ1AL$W?HT1jdb zW7o&Nm>U%WXgwV0z-%+y3Sjc>6l;5dWdVG3Pl^Uve|1)3N3!`&NVHm?7u61{aGhxRbB7X+LY&vjO5F|J1#{N#2-bdOX939(hIAXa+XY_O)={y^de-EHsMVnBh?qPv_W%gB}4Cy?tRP}LJ z_X3u@)5cKKG6q8#Ch(<)3XI@O6B~4fV;g+=KhF$&z6#j&>PlTHF~HrFJ)^u}FaPVJ zB%|w(!pURdq;r9~<`I_Hc#3PdT;I~YgyO}4l?}gd`W5;!xPb|+#H_Q^QhfhruHn-3 zTv~-5$*{tZePvbWW+d%_5!m%U{$i4q{J)UQqzaf6bMmErOp0@ScgQy?xUo8aC5^EY zC#@M&u)V3}!KV89Kn1Ucv%rojppffyW2;Aj?fkF98~?YDpd2LCk%!Y4j@s;#wMJvJ z`qR0)+VASz;Hg%oGk1Ngqb#%C&VRJ2^IK{3-7f|-wKi(jL(Lo;6y9H&Vl^Ky73+{k z-8CO^Cw1=40!vTw$gzPnFwCQOO<<2{uX7zXbq#)Z>4O26Jm`GC5AQtp!wo`RYS5Vk znkNO?cLnT@{c$|gKyD9nnfQh1hPfaIl;dYoe1$q2_4VP4>C_rMYy*+$83yxEcLJXb znDh7n=2Cvy;qp+X!UpQl6)8HhE+=PP#&fp@RIc}JLF86Qa zM^bd~U9;o6Cqp*VPnZ;v(Ic2O^E>#+r+P zAv`s3T?b>$E;ujgc%iNzKOi?+bZDbxp4N^?(dgkDw}<+ZBPqh&pDep|)waK1t{Hc_ ziht=XDc0r!jalG_`vz+HD=V?O?+Z0X9_=#&kFO8>%Zj4%SQlz#OQpZvwX*!DiJi~y z4!Fl@D`wDrcc6BBUxF6Vcaljw?nkw^SQrvcFK*2wN%$@BUV@LL@uj~p{ zJsuc*HPC7XT>ic1*-)C5agJS)y8=uzy931#*171npe0V}uA~>uWc|VQ+&C=oyL4F| zU1IDrC3>wb+n_Um!_Vc~J5i*gQKSiq^sOBM@)EeYtIi%Q7$`&?=?bI zmv9aBF`AqH0@u30F9PoXJ|56DzZEy~(y}(S&)^0sHK6(a&Yt7*(R_*yeunsGb11_* zL%G1#sCi`zK^GnBd?qkLUp((dPvfdiv!QBiXjW4G-c`(p@d*Fi)1%|f;rjGz<#LtaloGflE`yrLVZIK>R_xiFQ+8;mkI^y1p zyHVWVz}3LleWo}bv%dpWU^6Pn_s^Xoi6@QQv4$Tizl(PfkBoTalz=~(;nAlZ)WYRIOL&_8A>6$%Fhonf{9ItV>~1!qAU}FG z;2d-LC6y1QsB3vsR_)4MyZ!Qj;h-ZCU5m>-KZt_7a#f%lnQSj~bBd0rT*|s|U5bs* z2i!bncHd=Xs*0|qj;ah%6_>Y;?+rCs40QA=sL%FI+`S1vU+k!Ed6A-;gMTT#6&CL# zNcn}H`%~VzxQO5zQ~d8zf_5p+*gMPy<|DNgX(!+*zMuoo{TxmFk)`tHpYX6U^!Y%t|j> zwgzA>4td;*=Zd#Jw(va4zi@D%gU8fazSan3x@b%;Vgmm@gL*fcff}0K`V@ehv(xBE5< z3S6>-Xsio5b!pB0Q}kqjE_&+rjpEnP$=lJ%{t*Fnaw9zb@v=@j^Ya?=by(nv>5XvL z%}OQ$I%lWYS{JCF6X?TdNBOSK_e?f3`As~M3t5`@9NmN4y>$;I@<93yoF?$f3Cr%a zq1;_)6xr4|U&=Mp9qmU$wP;6kxd{Vm|1*qa_h|vG!v4*XgA+#YwRtE6@9!u&NxkaO6!lzX9n>``y4uw&N%OK4 zr#L9{KF-2Br0wH3n#jmphD&!{T+n_Y*IuJVe}*Uw%KeY3O3{@+jykl8>Xclo@mymg z)V9E27I-I3Z5$Vv(_3J$0}OG7r8wbs&OxC{sC!hpMG}qCyp&&5)+52YniN3>CVYy3}d`W02Nc zDV`pfpbV{9V4(^WBc@L|dP89C(E+zwRjWg}G|^m@p}||=kdqsYekj8LYkw)Vcd2~! zo=|Q&c;b^>qYo(aW%TxDcKlgImmWBRY};Am*SdEEs>1`G9Ax;`c`-$MU1Ryy0Vz5G z-$BT&djf8tYr%v5S%CpU*^1%VUsiDA?=X9Jg3Q5#0oqR>+0E**P;T@1U#|`|+!}Cc z_I6}h!IH9bXj3R9=&X4OyYY4UamQ+!?#e*SMSHa)^2lE!%U2NIcM#}0)Vl{KUxR-R zebMu>8`^x6J7X7!K}=};9fCTF8aO3sYFq_zEyPi0=7#g3rp%nNQ;S`yXYAwh3w@nC zx%#}h_e`Knw%-}b_`rT&TWwIamFG;j7-a3_VMjYo6np_K@uk{jV{M9Us_Qa)U%LDJ z6kQi?Abb)ZSAt!*aU1=r^EfSvWy*jKtwytYXLAk1UWX1jOV)S_3ZK*ARWG9vYcAy4 zE&%Vdauk3={c3ZrwGIoo6GWC6h?sizd_CjS4$>N&6&N2GXd|fKLr`+Vbv(sq-;rz8 zX9F&GDzmhjIFc?aL-vD$iB1%lsq7)aYJUI+P^}NRA;7T5H+T4MizfUL-(BkqmWy>b z^mp$L*xk9&&QmffEUMcII3HkyBAbi^kAqFy7Xr<%1scx;iXFi)CvqD|wRLD&M#N2BIPRXGCe?8Ho-l0)T})=d#+b9if*-(L)z;jr*{yYWDfQWp>-Frnc4GEZ8r_EN?)7!< zy@pyCRlVs1Oy2UH%L0ziwdBT^Qq<)d)w_>M_wPJO58*X|7CJeFb!BcA8ywK>_`gGH z-%}%CnE6u&^Mm^+qB&0bID=qhX&hmP(c{hf`|&fO`V_SQ7X!SEbsunUpn*P@Au`^q zf=zl`HDYD;Y*{yKH9p9{9UpL*J31?rKRsBRLHQQ+uf91jLZv+8W4bz&QTUYaPJT5| za(KM7g)+Ek&nUwh?1CFkLFh8-d~!An^bZcSE(#dfnBN`ULXjx9j4K}C5yV(W6Tg6o zn+9rJ5~{>QJlrGLnWNDzbZ}@sqJCx(U7e*roj#RowKD?lJT2al7u0F*0M&DC%Hk)W zY#TRxOIxW@KfAW^>7o1;*OJE243LqrnF6p=H&ALW-z`aOc)T?!f%wLIK zfaCT!u2<<^mtr~QbO(>{zjiito*Tay&`9Rcb`{+GFGU($K}(*V#=eHjs>G!Ko^``ipQ&yU`&-A-kv6e2NY1TyZ;m zsN<09$b9ad0bfvD+AKvU^<4Q~r}jpX4OFUsXrO|1I{59rg-`alTh^&!YJJ$b0m{Re z9R#~&Yyn^AYT*uicIRpRiBM%v|Bayx#`Jn75n89_S`8>mRH4d@F;oNT*OC6}GXrY@ z!)ffPf%<{VPMNxS?OO{nu`bB8X`az1Jf!M7d*J`G#} z@C`EwI{g|io#CqdWS_b;?0Wgo_j&2ve9iSQW*|q66zz#yk3$_3__^PVEy3Mcxl#LE zpoglsyxOk3c~y#4Env#Fww~g)K&=XxdD3xrak)1i9dHCbx*(K0MxI_B%1otB)dA|a zs8zckutGP(wbpwA)qKFNtwR6alv`isMvDeE?+8?f2g)wGZ$sg}RHKYy zP+KFJ#zUd1lLBgD?dni=4(`V(W{<_IFM|(-G7+F=H*Vkt|6z>j@T&|IF;mT@#_JVS z50*H?(Y%;z^T3w_8mBY!ojob~79E9d#QD_$?X6uOaPgcSy-v{n%`wCb3ve@rGZJ=V zjni|jac`hSH5vrWs>%YYVt?*Zi|q)&6HfJ=Wh6JtHJ1*VQF4=%dQeAcZl;0eDC9YKvy8G(Eq8 zXkDw}3;eCsIu3dCOFZYpD1-GYcVWraOSy{*$fk+a0Lml&hxJ?j+6=0+(uZk&k-{vL zagIk&nOJCU=3!t2s9Y`!Z7^6VYlLwbibAKLKb>K){q@|yrdzXsYs-p5(azDt#zg^r zwxdPwIuf4XkOwr&@j??u*w6HATSXDovm^Dy6E&wrzweS)6RWeeDLR$cr=vHww2tPx z1-vs3r9dlWIi3W};!J3fv$V$dw;~>QSC0u2>`Asxq38(OSoi3RK;!PfY(8NAdGM)F z9h%^<;FKqzJ^>sWDDDuRx+>8l%FFW6=X1^eV`V+M3yF9p82mBKI)4^;;kdwV{FRI5$AeJjXltZ_RyIYbX8z)Q=_^pAvK0a? z9$gX`!115k3b6_eGcmaJaqfOKP}1P&+GIZ9%&l|zj+9>hqWtkO`R#{<%ahhT2JjGoc#pvUK zvaag6P?M(vi)RGNLMnv32O)P)3ruMKl;%4O@3*0BK9;wOF3{Oc6Q=*@qA8m1LVssC zN`{mMK2HPxyA4Z8U5<`r^#l z4k})HwL3zUa9W?pBW~Z=p{GHwIy7s-3tC*WqpzW?Zvk92>29pX`V>ukI4x0|rP!+i z+Kj(E@jpENU+?|@`S^coU%MgDzCPd)6CDK5r>6fuPX0&XG;#YQlL$kk;P7<ob(2I|MNNTXmpZ{}E|fFcy>oc!hJZ&Q z+l$xH#NF6xnLon)o0w_d$hB(&KRo}=LQ;g1*($+ zp2pt8pSq6hTXs9EQna6$qVnCt0v*_H4ocp;{?xfo7xUP_>AiWx^;~OJbS!@GP+<5{ zV6=Z=Wv8QgsYi~;wUy~=S2L^pKgjics##zTzuUyipNKWqF~lpVm3^McYI!eDXUn-} zm38r5dCtXs4O(uWeD=YibfC`u8_~94b`9U&J%i_HexI+czA~Vt^sflDq*Ywawa)^! z5^Hojm*eT;((cK%!Ja^i2L5LxbNG<~k8V;tW8w`b3Z|HN525J7%OVaqzR1@!cIN`^ zo_e{oPeXlyFAMPHE3m|Dk9&-rvD2fQ675j&YHOfm#zO2feKJtSE~kgmlKm;5?(r1y znD(``r$VXst5A??A<+CbIpwi+u?zxao#MHKTJJ*>5M0VyWp=z{a$g3Q5HE4pdnGw9_Js9MBhU5fiSoD=p-#|ee|8Ap!tI(2?nZ^4YWdrdMh9nc}T!JjvY0%q1 zy(^mf(h$l=uxWpma)waK^z9j;Jh-buv*ndDKTgm(!Z4>$bZwd01FG@e7XoFdZ*`Y# zu#CL;_#E0^@vz~W6R$>TvlDWyWH4R~Wsa=5jpx==B&6#e9`LjjLp3{=-Gf~FE-hN> z2aIkUa}Mc=YnX<=OIvaPcckbr*I7pGO^34m$lO?(1zekAx?E8h$M(6q`{IDhVEgd2 zi6xs3bTH)!NG1%bDmSJZ0_W`xG;Q=pLOB}KUAq+1^&5?a+~{H?uGw~Bkt->6uV=%* zKJCyrzjqZB-I#raN$nz9l;8enC7a@W=;YYk*a;JB`TP5WbWaLpB6&a;vl5TH`Ex** zT4lW&L8^4x#q8Wy=`0_WdjBqd)$+M&z^!V-T) zy~1#scLod`j3-sNRX6f5|6!I`wdg#Y;^h9o1t`CRi?!&zvz9I>F%?!OWAVj*dPAW5 zNWd|%8!la7W>HJA&zouc@8&s}Q#(1(qvD&e1ru-oj!F)AX|Zlp;FZl3uLunFSC@tI z98K4}J1;c8E!VV^P57n}6>nf9GUux(dI!_^7WA)jl`iCd{(;8m^V)U8t1%iT?~Ht~of+*%&b2-o5wuM~4QS>K-A`a@sFab+B9^)%IZlXQ~Ziblhd#`mMQP?rTJU*+*Fo=-sST zCf62ot$A<22w;r+>fIFR>gC_g-4_F{kLW%cs)o}aAm8sD0Cj3$4c6@r%fYupxo*9& zmut9Emm;~ibY->rkI}F{JTR~k`*0(^Nr@fkxZZZ%$3hJefGZ6C?S-LSon;`W4ZcRR zOwp*y=DqdV{xb9Eh}_+IWZ6jwtLxcH4xFa&uM1Dxu+tMt zW^k>d_ImzXXo69sKdk2j^5E;a=F%|7@n(t!=jU4InSi@07B`2ohv>rM?eM^`v34;O zpIliKT%pQk9TXLEiTQ|sdkv)--4U3a74S%d&tMwn;mR?D$ER40H;TKy+N*&hwG(7h?H%&P9%o}%eHL+800dH5T^)q!eDU;#TXVGnf~ zV~x+`uMDakq&rwyeNnF2>wXC>F*&v8@lZAVnthp`OOte^gunb`Q|%Haw9+{dd$mv7 zozN_;afo~kaCgwV?8I%BsX?5eD~_Bec_+qRR+CcGHE_rjrX#)?Rr^C-E`IV0n*%j8 z!a!~nrqRk@>3}q$@wyb}_;~AtfbCs;XDFkkK3m0-!2;G2GprhWj$G_-eQXrL}9 zT}?mZ5$6alrsbxyhP>3^MB7@tCq=v2j$gw*ocbN1?fv|fuzO}x-|(ZGu^{twGMUX`}v&edns1;ANRZV`Tc(P7w7D=_dfgVv(NeI+Pk^DVm#_2_e!zj zjI}bDwBs56ZJvKabv?Gt-dcc7t?vUr1bzVg2yo0pD>RHIT{LLmS+{ZRSsuw>`JTEG zQ8I~O&Y12tL#X6$pw9asqSn;4R5`wxUTqx<922Nt9x!XD_{HeCp{BCD!pzmwKi$yA z?I~9LhmNL8oUY~f4&??lb@aP-7OICGa$`ub)O4+3dNtHN%eL)cs-43$R zq_-6_^km;3qM<%a`n`L|-*v1ZOgHUGPi=Nj^-A=CPdkMVqnG{&1Tg8^vc|*;gXaoGMrR8e@P`5G0h!@9f&=Kdj%$^1&kPuwbUC@ z?7cluMhN`1)eP+K!Ne~0tE~Y}3b@~3fRYpk1Lh1a4H#H($;ug;9%GjZO_8-lRA@IX z+D1>;V6j$jpXZtMNJLU%hUDrTjP{~K4Is&Q2zl9{VQ&G zly7|&sxCX>q~5jexkl@sQq%s`feAY85>AsYD=I`|{v8!JgJeu4D{7@zP?wW;P^5o% z!KMkxYDy3}Jdsz+}P+C0LW4Nur*JHC)&>+^x0H$F#^-|f>F zS?3CeITOYn98Eh1h3uG ztJbMpgX2{d@I%P1x%ylQ47RvC3Fy*!p3Ddta&#VU4&|!3E19n9zi!u-9)P~>^l|=; zcDQ!ZL!PV81dKB2V>anuz2-}4QH3a*$1}K$8wlL&+JFXGAARmYZXm#OfGH^3H-vKa z=1;B&Rlx|85bVa1L&_s11B{n$;H4^9^W;z!MMY0((vJ6Fc0=`}lDezvLbX4|j|OUV zyfc>7-2>|WF6D)4*rBh<+U3W$@o$E`YS_~me5oNDo;{}9W6qePsY$_O>Y{xyN+LDd zJJ&p=#hSYMuL0d~D>sxdl&N|mFykltRJ{GMfHRf}U7@fpp$5fK=i#L>k6@)1c)L3FG_~zi+_WQ|Pp^4)bm;|$)bsO*M_Lt?l33PZpXD0jZ8*lLfhw*u zRy#B|EVgto@Gu%xpd^?fKE z9>sWR4RmH3RH*j4hb_u%Bupp2@>+w3y}Pxr0-jA#jS1iqogh??OP1zdfKfP7Vy^kUxJ)s27jz8 zpcj$iH_Q*4LAeg`)^kId$~8j`q~3;Z>B%&8Y>r6rZM@WZt^UmuWmt=vWGJjzW=J=`ZnBY{)Q^-D)`cU_=t%08XDsGrNN z(|3hhPdmCF2^ePn6)mbzPTd95x<@q7LoP}KQL8ayl#a-s92d$DB$z(c-pGv$fKlML z=LcM4DGQNk^4BneeJ2Pq=OiA1IltNrh4E-S07cLEt?rUnrMg_kjXeWy?YZWn z6D;QFX}`6lE9CN7$-2V6v~CIX9uI8AWOz2g@TO3U2=(-ffzDFE>C*psbEwrMEYs6h z=j?M|&0XhZ6&ASv{y+&YJ`Ht0fL`|Z4d}9a=7k?ZDS_lWcw{$lNWhS&zQqgZue&~+ z@|2(nolGa}(LO3**S6`)A@)Tz@CeuPwZ37lnYeATuYL4GwBk*4)EqriA()K|flgpV z9~pgX&<{=GBTO|W>s>jUMRqDbs`g^4D1tc8h=jb&{Ndr*Tp9$eVRg0$d^ z)9e11Lp7fZ*nEdiJ(RMk4lA%@N1(*g7~We|pm}1TN25*moPSTK8q%crEF(yI*Fz-7 zNQ^l^ElfelcKu2y7tNfZ*(qbX!p{>p!FSTSbQsUA1^Bhse3a##DVE(eM{pNObU%*U zHb)4JPOoov7Nb9T0D5VFZaNFKSW!d~UHNgERu;pK$+d;~fC*-XpK5fdfgY#L&MQno zb{MNR^Dw>TO56;E_$Su}Y`N~o6rrwRRdiuH^vo1FeNDLhSstN39Dkd)^2if`ims^B z6|KDj4Z1@6;>@8_QN(b&w{QN8P@Xx^|5hl+?lL($E=9KxxQVNaz?ndOqn(E-=+Jqy zD+09#0D92rwE@_&LPWDBp9<*MEPNuAD&DvyRPU;Q3qecUp%BNN_6IG0&4G^S>SYM# z^v8h?z2C*Mx|!KQy?08Ao;!0j+Sr5#FT#VZD543c4r8xN2`VF^_7B+@KOA^Xau6-5 zqfxf#zrVSBH;>Q(ilZ+3HmYmSxOBdbTFu)j=%v|m_QE1HEg78Xn>if@t5NtpYIOip z;D3}4A5hbs-w0IS3>eiY9N)w>%_fZPY~k)rfjX*dfT;oh%&Rgp^UtWz4E^wAeOLQj z$hh&ETr1ND#y1mu4uc!UEDyH>{9n4v!#}FCc#fJH0xqNJEXD0enEp$TidT;X45piy zVD5}Ir*Us?)aXXNIVZfkW?VZpP)CaOxMyg$i>&$^dggkJGb*(0sDOLdEB>uL3z!VL zwhHCpWy8}#DGa~oRli>uNUx!$9z0;s^UrCK$&By8^Qd8WJE%c>O~6T#ah1mA6t!Ws zD?|P2I*Q1>M{>F()N7~c0g^*7Si6oFVMIqoZucMryzFguowCdtJnm z;fEbk{&Y3`{)fl<>u=Pr$z5k&?gZYO>gwsM&L)reT|7Tq=*aGhdsz;?f&b+{D$O-U z;cR+F!R&1fWjoe}DChM43mW67Ven#rHntg~8c37cxW(%7<}NHQTW8QqEv8%Fv_4Kk zv?@COy(f7ADmmkKt69JZhH(|=3(k*JwZDc17)qT{kd&bf z$WTX)GcGik2k6T?51kyuwd(`2y^L?P!@TBl&O7ap&&`8Ft-Cp(fHYBvmR3~D@LY;^ zfKu}J4o&fCq~r&v{nw5OIFQa!=d$SlJukZqU~$=7fJ^4tUS^PVsB?RBz(_~gAAr!j z38Ozk?(J2lL46E&|I&bNXa~IzugU;G281+&E%gU~qK6#TiQO^ZeQWwCUl;MVJtin$_3;BM!JQOHZHKVEmRp@=*#)X18TQ!in-WjM=m1Yg!hX_ z1_{2~f^_!@HCa5_J zHIGP*P7ky<1dc`_>SqR~TBJd!*+QU$m^CJW8Z1@^O*AyP+`NDr)U=}IpFu1+q56}|cZf@yMr4+Fn6;`=J z^Cwv4`E$8;XTZ$_?km^P?A*__y8fwuIq+wU2z9>b0Cc=j4)qr_;A@|u$bcDQQ%{N@gsp3 zktVZQenDC_iU+P3VC!T$g8+5H%<0evldMU-p&0IrG9ePWQ z0^#=yI1{>CSHp8>JT6H;TW7IB59(*H!$H#yc~DdnIWTY7R8|M(652pm%Qi;3yBw5! za;PCkU8l*Hb8<-$;{ivvSDK;c43HuFRMO9Blz z-uzUc15b@M4v_Z3oP$HXbEWy!S5x$8ep3{xJ5qFW%nq9BLgZgz51d2%>T{voIyi^a z>3Nhe%ePYWgdy$j?Nrwo%3%nDG4t)84&^#*sRrHCpg&3=nF^VCVSIdaYl=O1s#-1E zHpIs%nS=VgZ|2{0m~|2L4hQ`2Svvx^9vN7BOu!`rtpu8Ha*=J3z8P)KB zLk}phMGM#F#;6@IG2a!j)g_V<4%*<}fGHkLn&7rqJ^l5Erf6c@ChBtci2;v8^{~JZ z{p(a~S0hw89S~7*-9WKuJj;K;oHnvCk{h#7XPz9`vQNNeq64Z>&C>!dPj%_|Wjek= zqnG)i9fN?Wi5@}FrO!Q5*Hw>_o`j?M&)ytxk$+09%uriinLSPE{c$s3?;G;*Jgwn@ z{M(g*U7zHxa&ShoWO0W~7r zqkGEAz~)d!tmT^X%RXXJ(LifIMUQGn2DZ-y{46CRUYzI}uQw-J8!>-$iZ1p18UZOu zHOGc>$ZyarzdzHV23?FoS?9z~x_x)}&QSmAxPZ1@^RQPx#pNRcFFzbO>G*(pWX6J{ z>0j*R+MWSD9*d)MbVs`4NHEEY$WY(4v*5 zVVka4?Uf>iVGmDb?V{bfQTHAdYH@48Re;(ol>4n*o@%U5QPccAJD{Fo2Q~fWI|8*c z1D*;}K082v{Ch0*bRkee8!aB$KTuW%=p$WcQ_)YPXN;8&&|imM4 zDjPyS8>*sLC$|K2h3Z>Em0SZ<&F)@{+PmjsHIiD^XTFjf#S3CkH}LC7vWy&b>GO;3 z3ur+5h(#A|T+JjO+>xS2VKqa@gEL=382n)4MuefP0?;Xa6xK<4=g3gC{OwVrlMPc1 zk(Zt0fMZIJ{%}S61T#|@M6rv3 z-vO_j0JgA0T59K}IwIQ-&NZW8$I!MKs-Ybp?+8_&1)e@Ra603R-dw*5)jurYg8tu} z4n;||o!%6)l4_hmzp#R7^Q%SS$x+o(2+M{-K zz=(}I^*TFKEX|^U1ODUVywps#KRrBD2j8;%TBF>08>ZY*OLd@;e>VCRXuNwv+nVNBXqj;`PZ=LBApg7?W3iz&T2)L7x7 zQ?#tbTe^xzFr|%i18oMq-?jK?-huF0~oud9a;n3A}@G7ZN@c!S?$^jj4qs>CD z76t(q`sV3>@N}t@7DW#j32l zWhXx_!=5`L)EtV~veD1+Fwa%_E2r(3JvA+^G5;7p0<|X4ek@Ro(aungQAX)pcy+)i zULQu`LkOXkVL8Mejagu36Hu^udb+9yoGh5`?eh=F>VtD=%*6GH-qT!)2X6R~97w1zn?B&r1wRfiY zy2GeGje#ngHL*0c2Pn$K%R*Hsta0F1Q5+-m*53S_vSfc-ZkW~d)0=q&t+gEu+F=@# z_O!Ndim%(TX^S+a{{yD2S&yKITCU}*LK!h^Q2U;}4>wj_4d;mZ2Rb`F?&^jb zP@BWtc-UAE>Fk}z|DMhxXsG!wcCxy923>21mWd)PaZ>mUEE#LaJ{`(4@-*hJqSG}j zx+f1$uL(7v&Msf*;tWw7Wl|ea7R-Ole^66xSVgbS;DN)5JK!C`8k&p;bE7p2e8(mr ztlN(ati{%KP7WB#Hf^S=Qmh>o7_WuGa`^!&Kh@j#5Z87EOb+UOI8*}*=OH!ycZD(^ zX`X?=Eu?Fo;x5YR)O>)IDpLSVm1FYcA+FIqC9b?Nl=`u*&m&0K;KD#_k>aBOiZgvA z(6~6zJR-1ZO`!eJz-Yzl)pw>?J3i1oDd5L=Ynwx9RYu>2`gp*VGlQAK15@;ScWwrE zHREqK<(g?d*IpOOOk?Nlot1tw@@XW-1*pL-d9I=_tH%R+3IjyXG>B?D*KP|8mjY%# z?T7GB>}lM6)j(S}xhKWeTLKM+vDW*!`!vP-1Jk<#qq_scFH=M!+$rFfb~hmrFQ65l zKr3|ehp2|i4s*-N01bp;idb|Ikml)uMmd7Bm`wK79l188<-dRt6I6Vkb%8!= zP+K3+3t!$9N}sj(n8&2J4wfu1>^PxZT_Q1Jz2mstD30cPLwU?WjiIt+G$O1{DAyvQ zV??y|K%h(`8L||@e{({pxvK;1g9613K=it>Nt59s`sD9Q&KOa7k>=~Z-MAl=qH-_P zT>-tI$swUUx%oz<#L?6cLy7F62#!Eeqa z`NIF+A

=LdHSS8WiFp{|R%jhnl2_@x zF>3YFt%3jjfPhB9LmJ-CkGl`|B0Np2wM&HDmw<59(DD_k@DX`_dTcM}eoWwu-k zrE67#2i^SbF`WgRG)x~1)kKPA&f*6{)!eWW&y7tn%`4f!Uh_H4KVhlx5&?cJfes7CjYz%KN|)zV)f2Rd12 z?BLo_0K!mVr3U*1rh5navw)}YXwBx1OwsJml0kw9Osl{cIhd>sP%2;NGQjD=wUdxn z>$#ysxESUah^NQoTKyw|$spjlrW?-)rL|oiLoEbqlYl`9Gug@lH=^<~qOuK9F{h|= zUMM%wxai$MUJRaXdT*#fKj8BB>d{ROO8rN2;|)h}7Xi`P*?v6KHv*$?1{_FDF&b@4 zaqZ^71bJzEJkY%&U~H~>fE(uo%1SyyQ^W_2A0tw_lJELtC=Ead1L~e{rK!3u#TO8% z=Cy&c*p6@w4+=d039cbwevo*4Db#lYS_?ly_PTineza-QI(HkOlC21M)>3=FPxQ1(21)Sn(hw8VbXh6g9 z*LBziB2bQkqR$7|k|}NLVn+U-Ljyh9_I&6rpx{@y{Z%KZY)Fm(~EO$ zx&}b8O`+|g-3FYO&~9gUuIzmjP1a35{e)1jTpcjOzKy=M9}g_Su)-laevAmXWN;Ju z(LfH&(QN*h8|cRfHr+xi-%Ts;K?Jt)yUP7CTHE4PCX~4BIXIQ#EU>c*3}L5Rte?h2 zI&zi`LP&&ecQp-Vv)mvl+xzF_+JD5-IBjWsHq`irKy^!?cW|KO2qVgaivl*LO&__i zZbv!ka_Df2!-r|YPxs~#IJCH5KvAXwd(@QYqeAUEk{h&R!&azSU>)r+`rCXL)O^6f ze?->~XpFh`n)T`n+@+^qJ}$5xozY0Q9u8H`xO^;>aa%|62^M&DGHOQ3@XB1ztBxcISps(+d853I1(8G|+;HKRY1c;(c*M5Is+_YlYauNYTen4Rzzmf$gwZ+qASR zl&O<*&xGorRt?0l2X`HrWbxi`_ssJGdJntcpW(YTaBbJ|+>mSALj4V_bMSYkMGH3R zA|8(DmFesELv?-#FvxWnSBOu zxFl&(y62@Cq0+w0!J+v^plndXt{L|7ya)5woKe*d;t^PP7Od+G0u@ZHAyTbx0N)HW zHU~NfLea^NdHuaY`D@N~2QbmP?71aW_pZR?j(`*GW9h~wub=Uj<{1G!5A|1%c7~?> zHO6BdHlpl>Lh33UpvIR1Mj%}T>F~Y=VqskQ&xfImi1aXru9!^dnHmD8eb&p^fk>_A zhyJG{1J%}m&7aLe8Aty^7}2W&hMC=QsPkt7Yrl;CIE>wMEpk&}& z5Ngt)*bgiqL*?9=&7mfE9`fqf@)WhIJ{2(Y)?`6H6W_Zb*M_juL<}9dwb*gz2F6*P z0Lo_%u2Fk*{7VuM9J-PA{srwFpUD4K0UfmU^vAQbqf6)Y76Ua*fs390Ggj2y%O>(w zpHH!e0DCfW0}UP03oex%&2Ri$*y%jL$h#xhPkFrteg-3EixiItY(#(!yg9_UAXB5g zt~BUJ*xl|@tKE?sldlC1;3w^P6T!#tNwG#x>kYd!Gp4Ef7Nd&0h}5rXs-MJbBi^?6 zS-Px8tqgTesE}Lklu2vVzdYBP$e&fKF<=<~vjZCMPw^tErvK+Y$nU}kqmnXW9Ub6G z&G!(@pFJ6{MP-KvEthefV32lD^o1_tZ>LE*jg0AthzRD*^?hq7aC1& z*cEhl|Ga>+;||trLF)~NCPxQ`U*Rt8C|`k`h1$W5$zcIm_qBI~>K+>~OtnD$%+UBU zgLOH%;Jr|o%|5oNza}uGlV^_w#t6R#R9|JUOHyppEW;ut-j1G^=;sP9AwoS?$ZIk zpewp`{BFGA0sY~=Sv>%^hc&k4+KULyqo(%=#2rk*-E;o&QhrrrDe*Bhf*s4g<(noVtOC}n5|;MBnYvFNLp^nU%M!2Vc%<6%vDzk5#L`L73bA)F$cIN^Z;x*DsI30>?l zUE6v*U_7EmuR36y@<*YJtvA0CO0zz=hih-)k*{*?{Q;xDH9Bv&AJ^#62_5PzOFz3y zhdM3QS$u|`afRqV(LE&q0iSEAnwe*Ea?=qh4rrEBCjOs3*pq%j2_p3+KSnUycy$BroQxf z6U*QDLO^$B%RdZdNYor9mwH@J>7mID`fURpwQNUGp?|I-exJKP0FdGqE`+NnYE%hr zpfmcII@bT(3h|uwRL`hM{mwr*u&d$*BD#DAl=8yw-nc2?RBJDkvqCRjV)CUX?o>5y zJQ(Po8t_!*^XVhMb5Y}^Jzi=Ma4VAiG(tVWUUfD@-5zke$^rbExo`S}2F^z}a2E;d z+!R>2El|5T;ASOrPR!bHn&Ih0O3wQZ%_BoQ<%v+{N-91tqeuD?T}A_QY-Y1i|NRdx z(5%)Q0*@yv91NFe(dZKax9<07M~MhO8%npwKKc;7 z;0#>1V)5)0yXroYeH~pFj{LgR40EzPdmnYzKV9EM_uaeKnMO+ zXiwDy7-k#u0aLF^xDo@h#Q)CVb43S~m%`@?K3BZdOj*^X!~42) z#ra6dvGD3he*@*5^5cuwL80-c4=f>=eKe(W8`lm7xYoE3xH3?_n@iQY$n)rlKv|o; zAk^@6&v};?DU&91>)V=8XF#$-)toz5$AzlXWwXlz21pz^jZA2F-%JA=vw-_Q-hq-- z*qqwM0Y}8cd;wBo#hsiP`!Yw)X|uDFDOJ-9e~9+}3LccSWH@ASw1o%Yw0ZDQD8;sA zC23KQrt0aJP1&$>;iSNaQCNGX)ZpF}Yj*|Ag)jxhgKKW#cb{kcaOt=ER46S?|J$KT zU~4IqVrDyhpScx-yZN_U11@vy3AOIa0j1r)DFkjfV|GYwJe}fz3dxcIj980Y z=~&loG_Ptr7iifS4J|gdL(3fud&h(_hu+`t5G;L=KEKwcZOWAuauc-&y=i#fN59skURQy-`+Ka=$;HbcizH~{$`hA-^ z*VR=XHY1?LbK9*cvi9$}+dm~>AfUmUd%Sc;O$||3cZM=0TthZ{FvZmny3>L_5BoVJ zw*;DwutZ-@t`0cg(lZ~U$vQ<@#cN)Aw zC>=w?A|{cm?1MMwhMHH>{H7_kIswp%1s+XydhR5{< zLn`$%a?RACGMvDswYLNYhXx!CEILItM%(i)z2yt$;E;K~u9KL`U;~|S=*()R>SyOU z<=!BI1NaPCb0|_0=eDNkQq%!hI6KAvHD|Vmxvmxi9avlrC&nLlGF4VvkmCCu4`?yl zFw9hy!5yKrIWppKm}Bj?UC0gIY^JOdTZ2s{^$KpRV+3=a;s8FO&UzW^;d6&qwXOIp zRQ*kX+J^$w=>da}_2amK`k7W+V#r!4YBe|{P`3D6D_X8^HmE|?R^JEzY99d*$GJ(s zHRdwM{#c5##Qtp@$Xz6?jna*-qIhtihq@>)j{B`ADBcS2lDCY zLhtZ8CG0^S-Wq6Dfi@CW`Vz6N9UE{5Xp{PVF?@F<#5H-+7m^AM;87)@>hB;QKjasC&TXSthh02~s)JpEoc)bIaDGE#Ue%;=O zopV}hSZCBl;UB?`UHo_-M(jW$egqHnjMnnLCfACiMDNe@(p~(ds~&zqt)jgpsCaHD zv+4W1*@3_pXkQkvgl^|=AjM9I+Gp|Hwt!yMfJdBQ*+8d3&R7~p=Z3wobPNw8dVT)4 z!T;(Qc0U_RZ~Zqk!PSDgcTY&MO(mT`k1(aa>ToFAQNKQv>zrlD3Y{*l3+?T#{6_g~ z9Fo}K*UD*#uu0cX|Jis>Nw4`_ZrEkIy84|S4KiAj8)b~YBb1)jA`Pr)o8MwG6Q<1L z>FJU(;;=}6xPQNEzwMc#O*KE(%#|rkHLpr1RW@0iqLSs?96rJe^#9~Wk2hPFGOefR z^rpPIN%2V@xiwH`35SR3eCEI2Fq-14ocZf9I+197J&)*p=?%O0-&Zw}1K-!s%b?$S zsGt9#(NdZk{BHF$U=93T*zQifW4Y$xJzB2q{F;#yHEO`!!I6OtbhoeS!*-{5t-H9k zAyE9Vai|Jwb}xNCL$RH)6y35zZ9dE~K&ZFA(Cy<@<{PU)w(dJWY5xr2J%W0{*@_~?Jw7dGP-Ieepvv$GuMoQ zy(a%2bJ%zb|3+iXNp;RSf)RRx{oSE#$4Bi7Q{UUwKDWt? zd5c*Q2hiRQ_Eaavn0|FliUxXGvrx{)JjAZ}aBt2vlScIv^l2KrPakvdLqjbfDnHc@ zVS!7m;D%8Cu6!O*`}&6h`fCF;*=Wztv{Lt^=%T!Nf_>ii>!Sk7-`)c#grWUVV9ft+ z=hs?~1e)|h?XiHzx0rXc_;`w@*XUU563bJ~oQn8Xe#01r8CGU5>Z`21miJ+wmDrtB zynMC>pF!LHKf*BCKC$+8BU0>}ot2Lm#Rta(dQ^9IHFrM|X!*bQhpJsbQLbU1b=rEf zP%fxer-o`)0cYhueiKFb*FQZ_eK@e{V)t6yKv-+^)&$uwD`$z<*OXHSuaBpwjs4wa zp&aPdsM?Jwj{YcMs$&mf)eB!lH54fgMR!F`NB8B1Nl7wxcz25Zd-*pQF-1UJ$mqa7 zSzLm481os5Xb|BaQ>(@m6tM^6a{@a*8z|YNp9!TX8#HdgwZ?OS8o%Lq>D+$qi4;{5 zcRyDAWN}jA{W|BmyxD=J`bwyhDRECIMcE<2wfr&vyF3dlqH1f;2$*{BRNAP4vg>hd z9zWbfEQUy8NgP8Go!<0mo0-t-`SB$Vz6smiI#Y5@ zVS9@aM{l!mmqwq9>Dz@UmzLuc=^@VzLajq*jP@+_p{%5K7jZ0S3tt*a-}Xv`P)tztR@>slBdl(E!BEX@;7jfuCK#o7V&k zAD2)V>M~LULX;irRU=gG@_=)Q^7=a07$$m{`oB6MK>}AsC{4kHr}%7 zzX4C?+61T}C92gNzIS^Tm^(aBEe4v826TzbRviALfdQBzr?2q4{kyn^!uAnX?SZ;g z^DSrRnyKMq^v35}81wT-)}uL?-h%k6-v2H_!@` zH{Hl)6MEQFPZ4yab3t|R&0K5nANJPM-wHKi1amg_XQxB$56~ief6j-gZu6)>eHKsy zc5Mh%zES0WV1d;XXPVVVQ}lzT)u;Fm_#&HTcZ6yj3cw+~z9)J8tEU92BLiz?BG**x z1zNtqzuC%#Sty-yMZm$P{G`0PlIQqIM=Qrcf4n%>ytKBNyN>~MfD9`vp+X+pwsVCg zUw$yxtj4{VmL?1B6oo)aGK2#J=md-+_+c2C6vp? zF7N3ExPIhug}WNLTh^VC;@YVcF@0TLu$%sMm2qw(6lSDPb$4J2+O)TOaKO1_30QGW zu5I82ZeFYyr~Q0je{(1ki|V%brW74@n<&$S-Z$)D-yLdrYhX;H4Oi|*qnF`i4~L}> zBZ{@a61qTJX#l9H?QnLob{~qffV%Y#Mvd-#z_p$7=?`q8(T~2hN4ra=$$p`1mcQ2J z$6b(q6&`%@gn)@1T`Hst>m;~YrKl(4Px^6WJpfMzI8OLkRNX&wq_^D4R;Et zBtwkC+vtz!E*_x_pY~om}2V(z>ffQ#x3e4tB&3pXf2)#RaQOdqYEwwIL?&89~16E3#}WT&~tsm&oUqj9jA8{ZB%{r3cF^9p|bK(37sPQ zlny{YbXN^YHLgvu%z$nT)j{AKii}GchspsFBJpU<#^P;0b=* zaYh$=bX$rY{&&Iu*c?hZFbJ)~;<8wsu9(7-8cmoT33XJ!q>G*J2{lDP>c)jp7)B{&cUO`RW)?x^_^wz$)R*to?y8K3OUBK0}*)gG9O{@B$4n04hi&z$= zK1tE~!Iw4<`yaYJdO>w6zUmqIW?8Zpmel#T@_A;=p_P35Y9*DX*VRu(z=L`8(&U>N z)m0@uPNH*oie|BT;&I<5pmZhjzJDmgvx~59Cwk?d|A>Gq4UOBmK?k^-ysQtN zkm9vh2OQr#XvXiBmQ9Y=pR-bQilWK5^Q07?r}-KHcO$qpRAc^Ynr~oQKk;D=0K_u`n^(Or5`kId0pWz?@&hoEwqxU!%26>|Z&e z?eb6tm(8cvwvUu6L~0izP{B6+$r`q^qV{fGbr5kU;i@i}OzX5%*R)3^_11?37KZ%z z^wfZBJ5Ao)hp{E`ZiS~^eyIP(K-C4_3cL-tIM755wj3B3Qu|l05188NGDioC**`d7 zlF8_9ide$hy@AzPzL7iap9_pzAI#kW^>a`vyNQs9vUEfx9inxP&8>BZN0W{>xztrq zjq1xV`?D~+_zahXk_V3Gt1j$oY!km*ofgn3*Gg%=M#tsa5_~Zo)sr7wMs0nYhY>hK zu}#$;Wio5XPrJ0x6o1W=^;1l0#bUGe52JkTHSqhQLj(L4uIM|KEPx;^4N>g2Feeu>@TjVYOi4It# z(Kqlu*Qfh7->DWYZ`un8gE8r{%Nb_7o7c#bVeoP;$tAgAF5=yrLe*eN$pWU!Mz;h^ zHt*3D#R$?LYPWLlda_A-o)2QOZ#BmwM+P<^Dh>`#zFiIKeI(aROK!a@s9O~4>;m+sax|ImuoI!bzQ$VQslzA{ka zIdqQ)P#7+H`T7*iCo~4txB1ubA6ErDiq_cI+S^j}L`^pvI#y`RWsch@%(|arG<6jHzLDV|0V@$ra>DUw}c$QwfaeiwI{G#Ko6 z=J3MVDGrYfRL2BLUk*auf>|1#5wL4tMzK2!6jAo^Bv2xxbhleD+@$Pe)Q{RYulUFG zzT0z@T@NgoAOe#M0?L8kxVayB9wGwM3%Pqf)FSX`zyWHdPapIe$RgQ9JvxFyexM;)n^O+*8OB) z{ON!;_C|EeTw;B*UtE{smktX27JVzn{otmIKM`2n|Ixmb;&%cS;yAp4A}aZF1atEF zz>dcQ=50>5gev*eH--B9+XL?T8GkX9k>mEAp$1EV>A``cZif02@EPDMf#UYu6Ke97 z!27-$=%Vp8gmCiyz+3MP3>+rz4&|bhZsYLF6z>ZRpAEQ;yYpPAq6S~%?rs1ncE8Y; zTcHjG7-C*rQH>Y18~fziSfSo4)QD@&g_dWbp57XmR>0AL4x&6zlo8w2^$$P4i z#X;%pBb~ZiQ^oOHDY_ZRf%GdMNO8O(iLT{08@Z+%I*$oDU3;qhDS8*?+Hf&oLdoF2 z=TNzOue~C026a5mplarSYpDHy+#Jv}JBxYUcZWSB?iGYeR8^*}Xvht#+T*Pz8OCJFl zA{$NxhlolC0jU&_`?;}iV7woIY`BB0c!$q%7qNJJMJ(<;CB^UE8h914cmlC-+N{M~ zJ}bov)xD0EufIG{R;78fi-|64mld`Xb8U(Yxr;=P%)m!&KG!@Rz<`jeH)d8(-|$8Z@LwSofE3|K%h*?R;>3wrIPkX|N2mF=BsTA zRnaLXV$@bTpa<`p@Ln}FMWKu?Fm?nd%M<`r8{QR=lg7CJ3rsWx@Aoj#5#kj%If01= z*<|9Y8&WjRFdK4Xb6~V*U_hN+8ymy5+8Y2gY5|5-Jgk0{IfQ&s4dlT}d-uai4QY|F zxgL_UsJtjSG@*tt)D8*!mQMCq`g!wlM`wdfy<& z79`@^$iWUo&w!*Un@!|kbRpLk15Jh+}|8( zdOPs#K<5eo@o{u{^1x8#oUF@2tsWPrL*O^p97&pplnzVLc$NK9{^L6Vmy##n59I>h z@P|-80Dc6}M~)g@)V^$QqPPBUdSTVEajB=ce)s2wYc}e%F>_CN9^RW99eQ>2S~a8q6_=w4$lAivnE)({!Sv&@xw%odG#+bx^Ag zwg1=Xk@LLwQTyK_qMH%NjavibSzvZ@U}qI@TJV2u2<5Wk6oFHPOc~MD{l~PjY(Jot zB@>?(IZU`8aeiBhGo-{Qr_O|Pag*%)#%tLdiQUi?G|+w1Yn-qRsOdjLfM-;9c@}tj zF5p1gIV#jVT4u#NRVbCI1gsoQX~Ob50{_j>)kku}5%w;I)DmFdKUDWU+~9ZX8=)G3 z+Is_ye!x!@jys`79}5^3Zqf3_!vPn=blG*XTIhmXL+wy`VA9mYk?tV=?fQWG%lxF4 zOAD@_>n(lzhTNTA6Bs-mXkA6ok?y8Yenn|`ZYT%2Pu~oMSgbCrmnbK~-@xwb(@gH* z5oElLfb_9uGo<8qhX&-m*0uw8cOWHQn7xFc4`zWn_G-F5FvB)=kAZqBU}BMZ{}YBH zLkBNB66zm37HAzG&~fM@8_O6EJ%t^Yg)(%yY6{$O4)K&ZcbFkoohk=SU@%P^uo3+#)! z7@Tsk>9i`v(XN0q5m##b4%-AX}P(krX}0nK5Adl=nn0*ZRMU9 zEYU|rB0}t8ZiTNm1FVgJm_|1|A=Dav%@EweER?fPQ}C8i*!FRO_2&m_3|^YjItJ8O zhB@kO*yKvOkr>przSGQ>!ZAV7+{1 zs1dfrlVIEpty?x2=9+m+*3YkaH8Cho1uHCwIn1s=>z27)MX}iQ@!TzQwM#;Il$&$4 zl9bK}VbJ))n?j8)51avGJ)5P>!7feF<+$N3p?aSOwgmK*RiQR^!;xeyCd0ibB@jT* zREUo@;sJW=)msC9h#(E&TJdN@lpHTzFhddM`n7qkngwo04rZDH2ZD1_T%z{wP&GNy z5w=1w|D3KE%>`V|t<^#`v_2vBD4$w9EtK)Z=MkxOZx586Tz?R%H3-z{%kdcjzpvJ& z7hHw+`)Y>yZe;NK-gyC!%Fr{iKgt&ZF64iarY6$#;u?w%2U?E>x+evu7_!x|TQMt< zd>Xj$NghFLJq)8s_nfKR9~8R}_>w(_ z*p3j};?q1EN-J*+bcB^}?G7mSf1ke8AZGUn z%`?_c7rF6hpqx=b2RQpQnC^7*=R0$4gr=DF*S#!M7vX9g7%-=|2FI7-{peExM_2=< zE~Pk{x`O&^ht%8h$azZvwPHP5p|j}nXdh0lPX9OFn&J!a&x0l5}>2gZJ4gBvlfwD5C?B1DT8J#}^_0@oLY>iC+{VD$0(*aW~n|JUCEM9d#4LlH- zBBFhSwZbxVvDA~t1D*E;7O~1TSm#>)+?PT*(7*U(sL{QF_I-ij-GSC!6dm_>hw37e zMx)FMTSg^copEC;aAIJ(Hei(S6fxM6^4(h4;|{#<(NB5r2r6((xDbamnZoGaa?qj)D0+&ZXA%9cY0Q#;Cp%s+@lN{ZQ2pfgb=r0&WV_F_!&<1Lhi(kk36Sj!KHN-IOfFsK<^*GSW~g=PsNT&12eh(^_m&ikp?H6&w|qJ9 zi{}ExC6VK&r09u|8ea#mUoZ-JNLO1qr_t46o%Y!osf^g`#9Ui-j%(;q?aF}bur9osTU!ot_BZH#R|-uA zt$v)Ma|3gx)t^Jcr3OMgJdc4%OHK(BAd5sCqb1d_u%_!mEr+ zDI1F#066|DZg?t#Z#Gc&uwud89lWJ96?NVVZk!+wjtu4A&9WUBeXF#eA` z&yc2)DuA`{1+7`A-@~CgW0`8;c``$o)56-Cj#`H~Zf`PpHV<<;-v(|E$fg#(P~v9o zP=ogc>eSv5!W_ASpGeVc;TJ*_)8cMVXA?EFR_4rjy<=H}4ls|x$!Ixa73TQONvAw= zsPX<>TNO+*8;YlTNNyN1>%l9hucy(C%Aa=9WNFR6R&Tsl?$*%r5^O-R9ine;hSJPA zCoX$~(905v_;DzW8~t8R6#2@jq5c`7*WVh@>77=g+D8XQ^?-`AgE63ScwlmDp#N^* zBY|oV_~{t|vssEDp$j#-r;DmhF`zHeQ3iSSfm;la?GAV0sgchc*HA=1Tr%*ijpoi2 z-5WHwnY%E%b6`M2>w179>X7=_LAkMfDbHc5N_N7XPzMKge<@HR6HkV6P#WwP$^$oA zE3#|EOPlS|j0?17noIZS5>L?Di+4~wF`(01rx(gc10M?2cqGty42l-5!*caEQ$!~F zG(ki5W9;}k6vCtnvvC(NuhqFcvQm3@l$Lm`s&*IuaeqMH(X7P(fb5!(sH!!NN^x;r zphI8k;gxU^lH(Bb`gA+`sHPRYHk1Q_2}sVoUY~eJ%e%(}>YI2N-tR(d&4k$wuXdnY zju865)$SB)TLWfZv@t=>lp6f5vm#fPcf&dp6LbUo?oAgZ?!r2icmTtibh2>^^T!=$ zJ~zy@9-=onFVMIQK$+Z0?VR0E>?D`=7|a6y2i&Ng9JmNxxoLa}K`+^<44>5*0SC?I z7eck(3?RT}dnf1gTGPgNl_GB&gumA`%YH>K_lp8Hy0i~%UC|F?#+9ZJ}e z5_Wp7Ikl8ci~R0bxjKm(u*7JY^J$|HvSfffyFbN6kWI)&XDtuoh_vV^xiHf2Tsl~d)zS&W{1J|Cv zIxvE3?y+-VDPNS>l4}mVbI6b~K7mc{>-Z_cHK5{;qKNK3dn2`Xm39tAY+!==4+WGf zPo{07h;EpvBM~KHgA6&0ja52-?MeRaj=+HK+0F0%f}ZhY0E1nR@Vh#Izfs*BaMPbzqOVynr&;<EcENjPavQZWVYlR_ zoX;a~44C&&oSk-xEuPcX&9;TQ1t;I^9g~7rXAW*IcNxJ=dfLAQl}Uv-DgS2Z$|bc1 zOmwPmZ#jD}%ZdoYTWH{gFiat|1_vVT%~@dfOu!V1M|pi&E2pUqoBspu{s`a&Ejqwy z#>bBfwa^bZeJG21IG^+MrQ?=OmlTL13AWDs!u%@bqHN!9eN<^|n_Wp(=RQq=OtQfxgEco_w|4cpY* z88EVK3fVH;)mw6n%499GJDN+mp}n&9^0~P>s?oN;I3>`eG5;$JYtr3+0JE1-@g|*j z*hd3?0?@2yLt)NXnxD-LXVC+6aC}=};P81LH;_8@P4n-@;KnT1=BmJe;pyL^-M=~` z&|qM(FH0Zcy0jL#@o2!g!GLOL*UFj3n^JU0a0AZp`V`Hwbwze^1I1ecb;SZZWL$oT zZoLEDT3vW8q6ZJ0J$>WkP#>p4j*=6&>%4owuY}PSS^2hn0k7G_KE@b zPjJiXM+CZd&+Va9s}a_5dR0L8y!f36p}OGkzMifa^ZFmsALaoJWD~Ed(-=2MRu6`9 ziE|5eUjAU9H48K`*Hf(7unM?lXsSx_Xq!AEtOFkDMJahhX>zTtiOHCiruH z*Fd8=ZOaQO>W8%_p&SUt`-d7o6wntP(0q@p(X}@M*+ldDQy!sf4M=*t$8a&l4xQZ5 z`gB9RW`6*}-+v^~y*My54@CDw zj3Y4X({lr(I|HTwjOg$cDarmrBaN;ym$!@B6U7#(y~XdmB^_W3(4lt25@g zZd&Har>3a+s`H3<-MMB=ri?DIvvp)ZO>Q3?%J4~bIM=oY)W!;Xp!4bbw)5Q1P24>w zFn37651hDcrz6+n#*B8z7uoJeyueF65$$fQlt~;V!3SQ=V3QT1L4SK*0li=-%*k@8 z8j{mLpGQs#7`by*+7zvl48ZF>zPZD@Ji<%w%g-eiKHrxc-9rQAlmg^MGiSW6OoK2F z##t9`<}NKV@KzjG45Ps=9V+8Fb)NHod*|>ls$2Ucz>WTA0(Ot)+E86N5t2t*CkJ%0 z)?+OiFtMVK-p;={Kxz)x`zmzC8Tdb^<9+TgFi_@C8eJ$Kt~)N*wxf-sYkBUNzyh6D zJZ|(&7f~mx&d4d7Ou#IMxc^bEwQma8wl*ELFSYW#pwTQ;#c#~@{0*38^mGj;T?b+VkZ|8LZD{1c{ zHFy;XYkWFjUEBq0GQg|&{91l9G+ag{k(6SI7s-%fTtGqgL&& z1ZwvL)VCp)y0>Dfhx>AOWuDwUBt;`Je{gFk)%kZT-MI7gT=NXN#c`-M!$kEEfJqxD zlNjH|M+2@*)v4+D3a+8ugR3cCA1G@v@N{%dz@);GAj$yQVQf^f9TqF9s|l}Rs+X&wga_5VI)h29T+7xg}(vu(5w+`a% zyn9syhH&?#0|FOPjh~?@PRNbPI35`VTi}1&*n4B)PAJ{VwEa!oP-ylKHAb=>NZlKx z$=JbYFjiiuv#!hF_)r@7E!4CemxR(8K5oG^CH4*&W?j}%(+)NDkfe9cLOlw@Hl7;z z878e+1w4~ufPnM|ft_arrcZGL&2uZsgqn^RV#<^e9c&{9>*2HG(LCB%{A?=Tq~b2A z89u3P<}Pk>>xzJ>L+<|=BIq|FIj-F~#lmt8&Aj_Nu6OYLlnijnR+qVpXiTE0i-T>7Zo%s%JGW$~9M^ z8vKx*+}17RIBjMLV2alVXEG#2p!qBp%RbOuD)=H!4{C_i0vP zF~;1vK?^(nx>Nd`3ThpjaJ;|5?B|g>rF|XxF-6SGUC>QgV%oP(;Tne83=b43t%})7 z!;QJ-tlZP5TuX53HeHh&eRyCWdCrbrntinPz})b(fXg<8YGHj$>gwMRYC!XC`2>+_ zqBtc<7NKz>F};^-G-gC&oD=WB=2V9UcG0XqMVXw%Y*M>tDOPlM?esv4W;tn9uAIv3 zqPGV0QJ+C+L|tV2aEYSKelnB^#b@*58ax+D59cQp+gJAqH9j$LE$npieR~y3o<4VW zDAz02&4>B}s?k8;{2u*yA(R5=jCuM{iY~3zP+dnRQ`S}8Q9sufFlj^h?9_LT+PjBi zjF|l%K6_;H2tGSi?I>Y4rr2!qpJk_Leg zu3Z&EnA1hY9rIirsrF5Abya#wZ;ek0?4q}Bf@@n>I_jlaivLlr!N1Y^Ko7l~hePgK z*ot1ZE(qvW{I(Oyv@NIl{o_*{ofI(aL^pU!{m2 zar=Ex^slzbIy-YU_T|>|OAsXO##gt7G6~B`!;V3U6}_r0u4#rxDb_KxdX|RYyNqh1 z&4Jc|0dsNY(0HeZF8a9GWFBbeYq{a-jY|eUhiguQtjn2j$dAjk(a`d333xC>1h&)N zZqP7OXZPn*T#rK7a@`6?ac!~6WQgAouz`RhcI07WJUU8Eoe5gx=)4cVQ4)q^*dZw{ z(6x<216%mt1E}AkRr^#Z**W65T|6?O_ZP5)BOW#jq|AzFrM<87ZhpJd>(+C*;pUw> zLz`2c-ld_+G7)!;F0>8{RZ|>!vks6eHE%#-P1rD>OUJNJC70gAbJSGF^$%#}zkDRn zN6RKh1U`kTH69MEqX+f4Us^HiWpajE)u@n8pnj9p=-$hXySagwX};{xi)gCM{wy{9 z(SzJY0~)h{li>BcLYdC%+-2~E6wP#c4?LLRxVj={_h`+2PMuqrv<7uHkI_@`oXl^r z&eYUAh31w}jwv&k(@_JcZuhQ0gF09D2UaWYnnP`Ot~r_-J!;SnJM;wFQBI4Z;^Pg0 z)zsJt>fB&(HNnF0wy`DWwQjC-51YH8%gKEw7&Zfd!gcGVF06<-G|4wc}EB=qP~{ zWfvP^N=6gwqq%WkeUyh)Ax2nD z^L6O{0Q@-U{z)ylNdCaQKmd4lU}-E5@jX_64(UNWjb*XM7`g zuw5B{XQ(!=kVe1%^-%8caHCj>)5z!Ba>KcS%47`B(Z#H1?O#PZwx1IiZwlx#ISBjR zToutix)cF1SU5-RXAcGxi|H)XB2{~VSFOhpad>KAOPnp1<;+ovhcQ8@F}QYY;KiXF zyqwt-KbvaE$r}BpAK`SphK!r5Yk174Wcj9w0*vX?6?d@F=RX`4>pY!*YN$pPXd|}n z4!(xYD|rg=e(|h8mrDLSs#cS`ShE_cR$T`i6xiMlIPjH)X6#y7c85d#t$}J5(7g7L zSnZH=y5BsKVh3SuKO9)t7I4Wx>*JDm19LdMBQQeN{LWqtUHA}E_Ym!9&jM>t3+Qro zVf&?Yz%3u<+L`}9VecL-SyktGaxM{gNf09-0uc%bQh_9~kcST%1WqIofPfmI5r9IH zSA+sV5tQU<&>o+-3`vNrmMTASKHG?+p~H(R9AORO=(xz z)iV}TO<~UW^V!{b8CK7lKkj$^_BnAQ&i=jjZ~yjh?-OVug@NXxg$~l3LvuVT&E01! zX4+Nt@b~UNk_VNp071D<+~t|8_Xd1i1E6~UH2Y}I@@KdUb9$Er+HlB9iOKV!nwJO4 zTw_Zp3qNNBN{$OBTp!8-&Bfip4QY08TEqJTdagdAJr|ZZ#+&KTn0|9`u33|C3zF82 z{2B@N`T-xZsZef7)9kq=bB189uRh8bjN$IyFxEX?)htx+h`<2GJ_lo0c9WZGYSQzP z+OX5~*Tp|)7^NZr^K;$LrRlBovSbM8hd=(glS8$6f&+Q_>v)XSv%nh)9q7y&w8TBK zoeiN>!jf~tx<>~F=GF(A2L=9^FI~r%nw&a%7HYl@C_FQF`jS2${xYA_KCB%y2h~FV ze7+uc-H+o6um9#qZ06VnTGvC1kHB+TtzH5QxMu7#!^)h=sYtap4cAPw)CgG*>{M&U zPnrv#+Z@Ubh#J!jQS8N6l~c4H+k_!<@MJr$Tk6DuS$ zMjqx$T~qJFH5c1Qh~jrp8e=#$qJ0WY#z7ONJ)Xt4HMg-St-H&!^pKWs(=w&!bbT#` z)8bib#Mr=>v_BVcJQ`mT%EevRKQtlzi~HG&f4MFnaSyL45GNOoU@n3fk~lRov2T=n zpBlD3|2Cvs^-Y25>41LRnd@Yh=AQIpf4lH_s5aK^f}07ZI~^+daWfr;6;4pySz?UY zJt%iqBQi7Pe*O5cG`E}(sL=@5M9Pax@K;*YHa+k$X&Mq+1T(_h%BD6PDiz6S_WXST zXHR3grLJ|5(GVFukCxQ@q=AE~XH|rArXEhvx`%l*$M=m{y=Zai+_AY<9NuxVqp07K=U4&Zx7Tr1Uyv6fvSHuO}v>= zh7+P5k}D<-+#$YZ_An-|5%4PyuR1JlBj5u0uD@9MD8T3{8zn%XrSWm^v_F^-nHH(^R(Rr;Btd zGuxUQ4fK8vLo{`;$nUztqjO~_gKf(=Z>1kDFAs1*c42@5t7iWhHTzpsSqnXz9=*!w zY$#a-51TAoUBDV=jOR+wY6qiXCyz3A@ub|H_djk8)quP9NXB}&ef=aiunMKGRcyXA z&Dqsl+W;`}G`(HZt;Xd5{g|M(O+?{fQ&wMjX0yMmwGSd`s~xtWoyG!Aq1@x-D!^q2 zg4Q!Mw1A7#tn4(7!g$vT7l$JEgs6#nBpq!VZ_z@aMGEM> z^XU=XFc)41z7`)rc+Pvu1_N|R-(;G;jTCl63M+%*0KWL+{#t_{axU)tw+HXrDEep? znByleK*wi9OYWxBJ+!`=rkOD{`$#n#J#b8!Lm7OlfzG`5=`?*`)(~YVWwo%xn6a4@J)IPRq78?+??e*wCRUh3tYo*xSddsG)12)RO-Bo z14Bk5bT|x;hDVTnh4}UQ*SPykW!0e?tkN*8> zT4igvwX$Ae;Ppr7u7krX$owB6g?BRMId+c^4>d#Ztyy3dymuz&%6ISdG*`w|lj%x- zQ$IHxForvQ@iBCI`HDb?uD0lri=s7p;O2zx`$IV~cJLpgyBgSVdnku|BRog(2GTO+ z_$e4>5VI%4UGeDr#}qGMWa)ZTaooxmQ(HO3(&5Sc#!9uOzOIdDZNWeNi#jmi!0@Z z-t2Wc=qay`wQi?&ywp9+J)XO_oyfl-JUhJwr|=6$x>2aIO#YEj&ar)<@BD}lzYx%E z8svW&>%L80J0X;hyAA$%mW3;Y8u4J9Yx->0t=vlImV6JraS(2zb$vXhv;0r&AIfBd z!)K8+?Cf10Fh;l1 zpM{!R8*obTAMr>QI5zhRWrcy}@~5zUaA=_Zc)$$-o!g+`nl58y4}wh8QEbIWxY$&R z+;2|vEjWOQ;o!ZYnz#ZtQ>nWySlSO~A}^eryNl?{Um|V|>;gK|Sh0A7;>ngqx&MA! znj;4A`A-Jw4uE$oy1_GB%hbZJdCsB}a zG*Ha~pW&$nrv%;#i}&HtHlUr;Ixsplps9KMW}9&986MXmp}~+aLI6$TlEEM_|7^fb z5tiF+Sfn`#^bwEQ^OXYSe~U}Azpf8<&rj2+rHRN4U3zr?>JtNFoWARCE?;cenr8b` zfyw@X=EZ^X?#B(G-1KsdJ`qP|LT!L(O=`O|-M=x-m#z$0pHr3IiWy0oAzuV z>%cTmzdq1JpG_{S)YE&?Y@;9p6r_!UjGhZPR;=tbpWMYY{AuU*z)CXY^T_DeDF4sU z9Lu6wI|q!{*W_A*(b>sQ2UY1E7tq6*NH&Q6Ul3zs7I22UR)-A#W($F`4dt3pPD?vH zWJ!DRL&FyWrUPqiYl)G)fvOZ6JRsDOUka4DB#%4eah?2>n1*YO!vc#uX?;{+)sX;? zd*^!teZ1MdsM&tl;Hs6G7n80^v${Xj%0M-OP58UA(%<6i&BU1Kt{+L$0oROX1{{p5e>fSp4lk@9}{C?{+`T|EdRj zVV47p$+J{?{I2e>!H?Jc+Z<0&3bXh(f7d!`t6dx4;2J9Lmi$r}$d`I-uko`BX|pDu z(+t*!a_OV&l~zHJ`DOEbqzdT6WSHFOy_0M22^5xmGn6@=w>7wSK6mkJ6~AGn=X6(^ z7_4J*g?4Iw8d&EUK8LxKl|6o3f9gbgcba{y(ZrViPw<(Ws96J7WoqLL4A#&2q%-E1 zi+q7!)k8aLd+u)#RateajvvWaxj<1r6sqws&Eo^*C!gb*UxhPj!e>`+T!Pqwd<}m` ze8lwF@Oz=kfQyB?veNuLKKJ|F_&(GRpyd~d4be2vo%7HnUkaGx~o1u6GUkn_EcZC{k4=CjN zX+DgkFMO11^k{-SX7u9>deolL#LboT*ioV8j;47eH_i^Y9OCq$zBSG2*np?)zl87% z?p&$yq?(E@lr@_hL(OguI1Qii;N~ZdK)bi6X;5k4uSYVRalkMmqUyO0=CD2g@%)D( zYw#O#$eD0`V45yY>R!#u&y90!G~si51ze8nErs#`o)QKuq}hP&eZO!2P)6`&L69%? znTL0WGM+S%vI?Hczv(R0>XQO`{u$3#D?BW~>3{h?x>{`q_704YLJPfe!M8$(##od^ zCL7R6C#aS__b=yju+F~qK1lO~z?Wx%9=)tlIG1aj*jc!9ENV8v1_%2ET8!8Rd~2=? zHLpc|B~(*iC;#wfE}vQWX{={{(m8~lW}co~$2i$7REuXB^DNU32Wm{s7bI8?SUr}e zZ1DD~oXAS9iQz-L)TBCzak7qXDG~!#Du+Gvji)yS+(8}g^ zs>OeVe?L~k`1-XvEu?A^)pL(#JhMOKG)M`$QD?F8_x`|2w#;rh8r*^MTdP|nh};^p!2Y^4 zG(tTvn`d=fS$Eb_cmmDk?Wm*2AI=>Z%H`$0KaMgq`BK-YoV97)eRQMAVA#Xu{x0@W z;cX2Oe?1E&Bf51c_pulk`+^f)t|Lhows#f-8nz?J1P=8WG@VZ?h1aoeGm!i8%z6vg zVa>-bZpgLvMf?Y2XocCYy*XeGZ$gjezZg(ojN7}UNq+27T66HO^8{%;z-D4jQ|NHF`$8 zU3E=qksD>yM?>}P zs?tJk^`^k!1U~YOfJqpiz-+D8oci`;o&U>+tpwDsl@+$n^S^!zPRn=YHQo}cx-`(5 z1=LAXby`J*UTMGOH~8@Z{2Tcj9|+a^?LZeDx8%l!NE0*l{<&5)fCB=n2LZPn8?yKK zUyqhA^>t_Qxy=BYSbmL%RFQs-Ga5e|7~K-k`?Ptq_K5*E5Vz3hdLd9^W&f8iZSq6b z>&Qn&FG?1h?w2w( zEZ)_$9^BZmzzzKs0%%^cl~H1?#r>ZqSKE1PIP2qcOlm%vR$dd&Jn6&!mmQ* zozc7R#Bs}EOczw9$jH(-Y%7oPtIYvti@Fg@JUnZy?7c>o&7IO;+B?mS{M+b-KoJF_ zfg9(meyD?&0?ls)~_q3K-G)YrchLH3>dhn_*a})qw z_$4<=Sax8jHT>@!|7Jk?!JXfCG}n&iKkj=xpnWv>k5ycAhPL(CP^%vfcv!T_V0V4E zNw0TdZkT>@LbM8fc0II=Ojw>FiPcIDEJpR~aH=|Zmo8mJUX5~@2XPXz@^9*pfpueh zK4Kg;wCA%lbqfFHv{3cBz!vqzu@Pl(FkD0<$^kdmKwTRcT^VpL^g+f!0~XERAJPn5 z@R&oOhr;4LvB3d+aUiIWZ!MoUb8QVxJ|`o-$FuZy>h9@?$8PD&)m=@<)OhsiDaxA6tb*j9COK${uPLU~s$wgf-`jlY2CY{{4)j5ht-XvXQBFXm(MlofFFK=&u!c*(0z<+3|?~b*7HJDOM#V? zh1r?YZsQ|c10%lvF}*xb?}3<3>~s%yx_v`#G#&_y>G|K$b2)iD4}RT3Kt*rPLOD)v z^}%u6Yc>Q1%82+y*1hxKP=D&T@CCY-lG%oJYS`VH3j%O5Zou3{@Vg|7kCHoTL9MBlp717+(y>z3=N zn166e?jDV}r?Y_O>^Xro{T(g_EGaMs9vX=3?CM;f|3Lb#Xm>9NWiMR?HLvnd?ZOxM zmTQ13`3RD3-4}3TQjX)`A%{3dCG+UXp~_++VtnmsnuzgLjma;7GDhn0K-Gx>3*~0; zN;VnhE%424{?~ax1LgV?zVv%^x`TXI`yZ%}n%LySwRQYn8Ha9%b zagMvCsEZiM&rR2c^1Z%WxYpnKEsh#L{l9`*~Z2(X?pa~e|jubeQaR4 z5vUFgT<~PTm`gF5k5HC#$LGeEHU#<@M2$AhE)SHXB22XV6EwnUy}7U3;Qaz()Zv+I z#f)}wxErx}&^jfs`{sb5#%E`t_GS<%XEvM`YA_e5KMbr2l+9>F$POZ-b3?h5=TXB` z{Lr8i7+n}>(5Y?$i0LM3`!R3Yg<-Qx*%hjLHF+5b=9rAXQx>pdZcNjqOGC9eG{XJ+D_cIz;5yd2 zEaq;VKAkpDcMVdd`Q4Lq&CPc`I=#$;k8uxMQDrA*i|E1JFwo|~S05Ls&JWZu;(vZT zF!xZPERigPnw}V__7Au)QX%;IOM$Hi1{%+C17={qIBl0E!2ipn9e;T&=Rg#hgsNJvW;0)QTB5_PYwdymzj- z1L`(7mR}IT>h<(`-xvhRNM;h8o=(&<#JmZzyfLgF2d>?sY=-&ktCW(1B|fg}5qH zmP0<0Ydf~`5#-ytG%){}K!s_PvoT<2b3?$Dc^PZjv~#~9(PnoeAHIl>;HzBj@+_n_ zwqHV*JNO8ivxK61*t@F~F2GlB&$aqqK7u&PnH|&fNt6Fw2uwc>h5CFKRq?dsq1-@+-h$Gc z12;-_8`k*GQ59b**F;|`^#wz;d~fBIH^Z-R?fQUuJ*O?*_oq3y4?rUZFxHgg@UBo} zSnT<%O}Oi5S|TzOL@!lNoIN;A2M43bUq7AZ5(?s*6K*{#ls%u(1xN87Kj{GEmzLE& zSUf}eqiX}s1B&-X0IP-pM-qdlxl__K&F4!*-BfI%wxc-{wYYrNLCty&B6yYdLclrQ z;CDh9V(;^*P$PcVwMxT^zD#6rHAy~1uMCt%d>>k|i{o?!U#uK(GBD+--td-ajU9*Q zTT=fs`sZqk^X|reY5IbM&U~n9x4>j`fFA5pp`ueYab2k1I|HSV0EN?fzI$#cbIlcB zW&HQjiQJ_}K3}OOKudHZHEL08M$z*0U1aGz;D^Y~5cb)lLakPAhlaXZCO#Uf0T}F9 zBV5D8nt{F)E5Iga+q1p+TsvUZP>&mC-<;XBuHbXrweH3V{tzBmc(VGmP$hMM;7x?i z`7Dg4<)EW)hiW_$@bDf>56U({Y{4?MMcpA@PlxB5ESyFAYdW_zH|1_0-F1XrgT@kM zlrYa#H_N8?xsYox!W76_Y|t#7!<{i#&99Y>Sa*f0j|f=LU{o;2|JK;~7)y5S?%y1$ z^Ywt6Sf_}>R2WvUOEsgZGpa-N`Mx&F;Jo`U&#WW)g{hgk-aUPq8+!--Aq@Lx`72Sz%e#j% zh+aHARFB7PtPMCLxD%;XSWbthe`!^~_}MqDnZg{SX1WXuq}<0cXz(A{@7xoC8bx;n z!7~esKZUVfy4q+4IwuB}z8x@X@pXg^`s)GQ#VS6NX7h7_(G^fAu!j#$HqpF1;B2uR zF{Yr1X&hXgPmf`aqv-$#x?>Oi1B+UJf4~FGoz0g0$%uBK1z>8%KChvARzf?GJr{PG z;WI0wf;exy22O50Dc~CY3-1n97H&=t<-%qeg?>BDkHJ5yCY}Gba1Xkh@_H|{*a**) zsvU)VD};5RW{E8&Gz;MXq#Lm)Ndt3L!3d?+uyN9(8w0)T0$aBP4EIg)nu>6F-f&Q^ zt%M)byYpcOaP`WQrB#0GMHgX?f#D*$_HSX1rNytE5K3(~@VBJkPP(OS8CWZ6U&*b{ zHX51E@{uPF3tWePJ_1kU|8B>?CUEyWzWHBbWz$0f)#^Z5-9%$GI$yjtj{v4;aP7kZ zkKJw_8Oqlywa?}*2JE!JaKTLZ2F4?oLR~#nWaV@imRa z@sqjcgmS}ip;m&=)>4|)+X8RSEfH_@u^CJ2%G=x+0vk^TTzD;qWnnJoV?F(cxQn;= z*AE9uMGt<%`Ib3~5}PrK8=E=0xbsg1d38f>crwrQDn5cQ_N?qO5M0Dvl*VbAbBN|s zX}ZH``o2&-%ugNioKF{g%g%!Xb7R|A16Ix#ZPIt%lWXPUuXkwQ?#~Ll@ zEaA+3X}VRdNw72hQNX~)xvr7#E8F?V$=p3CU`(?aB{bu@9Zmezo!mfQT)*5MZ(EXG z_@*&_*ZR{jtdmWi>E67A&*3-9Fo6a5!jBTTqVhk*N2qJ_P}USxI92lzeLSX#H(zMq z#s()io>F4z|MHVF^tmw$=s}umL-jrpc=xjb_rBKSP~}Vsf(bJ*5)66Jw)vOFQmD$x1fVD z^{))LWv4_VTewEg8}z&d?>+Z&0NeWrz`UNdQAYZuniRHc0W!yJ-1Wh^cK1zz+hEfl z!=?`+iXR*vm|+3EwE>6s2jNRkzQB#aF@Xw3EW-oWtQ-AM{{$m3uh(3FviqoyU0wV} zD95!>ORLiWWcm8vn7K8$9!XXYTOK8+hgpVUKBoI>dk7 z$cwlu`qBIl6e{(f>4#;5t_fTAVY;%53$N%~d#^xCabqq^X9bK58; zov$AjSO>!zs{%%r#rDxK=VjAbs6TLoY3vh_ub%uoto&cT&| zw3OUnVCHFjSz#aEo1&Q_fGGla1U1v%CWyj8bNtCrdWI{H3+2k5r>= z)36;SA4EHc$jJHm6hoXaBA$3+prxQb9md+XYh$RdckpjmvJ>|qD&IaZu=GW4C|a0pqNjssS5C5X zwllpy*DNBMB5qTieI#vy)A8*+jC8JCd>0{a*gK#n+yVbuRe-;8*j;ND%BbGl$bXzm zvwJ##j9i*_QNE8*=64PqrH%qK=)lPyoLu#hz%pDj<*oW?>`l1VB5-h4S(1R)r8)n3 zuECNw9T{Nyv%Gi%zL@Pcy=@J~8=Tusx!a?c>*(eGjuv11?ttS~g`fto)9M&2VGI#V z*o~g{*9A;sStZ&;6VAv0?-DuKF>&)FtThRr_!TvL$Oo2Rj7Zm1K z^L%T0KI7fjL+sKX1avY}l=Wr!H^TNmxG7-n%i6)&EX}83?Cgi!xIIuk5-@IeyR9?f zchd7}w?G+4PYU%rv%qRBd4@oZS^Kw!a#dyyfhxD};;x-?Te7L#riiS2K){rgbIBo2 zYl>!DYGK-8`W2eU$n?|nUMQTAVZdmQP%Dv)Ls9#nT=Qk9R_=`sPV<*M{V(t;)6D@j z@jbYV{xD!YSD9^Vs~F;=8v@3nra(O9#s?}fCVEwh3Xy*Q{ek(r1C8y00ZQXb)^31J z6~lJf=Ne)cD=!QU7Ey*acRfpQoue8*{)YE=^UU4d1CBzLT9~o6uF8ag*$;P>)%ri= z@fmE(5yw=-(y?i-9R)_`1)56%gU>gtvmcskr(u)Hv#RV+{s>1oQNA=Xh9L#-r z5R>vf3KujFpRY&xe}a%t-f02-OVjK<7--V-rDFnJl)6u(;EIz8-K8~Yc8&;?S4Sap z6=eJ_Zosgkp9nbb*$eSB4-Xi`7}9;3k-gs!I6rc>Gvqf$R|WLm6L_HM+Esg`mD!m^ zy6`XQf~MQWwKz~&?Rp5J@SB~v>JKb$bqx6beCvl3lRjVSJfO*d`yy)5UknV7;|8L2 zD0=Qwq1s5$a~xbUDA~8`bIm!ER@U4z&F1Y~!@$<^;1+-RdJLa_!a%M1xR#)NOU)hs z<|_Q}9TsW|xTt5QvVn}YbOI)3e5%H0_y|uh#`awo>SOjJzN(%DwwxBIa55Ge9)nI+ zNYGf%T}S4D->~@!FEILGV2VX)M?XJ>CRVmG<#~~BcJX=Jhq-%nz`gn_ll1!8Tq{dL zn3|zR2XmgH5oMD80jS3Ux0gKj4+!On9Yx%z=$No#$Ouv1 zNsWh_V6eSA0!9># zX0TCdT(~ZwDXKDLyi|*SjjFh2*hM!!u2vt zc-#q3?*Lw11@+m0!=603mO+=QoEkTACv1DdtyZO4winjyq?np9?j3 zf4~|R>u&T6&I1f9UVl1wJvML)M(4ZZYP7Dx<@WtP#IxoVlKZ$SUpkwon`S zalNgRGX>!E%MrpY3G&&J0&|-~%)kWa61HGQX^CfPFx>qZ?!J0bz^(i3#Za#D^wA*; z5-pkAm9BmYWpKvl>Vu~1Os%^!ws(;8EVV5 zG*1aMW`VUl)!ZOpoFg|pb)&g|u9Y+6_>aMr0atV?^v^=HHAulx(!|0`JXKBicRx7b zl3E|$mm)TvV1|4LfGbIR!<=2Qymvt@=p)`4$_1Hg@IE!&vT$cI3-vA@w;T)kRw(pz zfRJZsm|uF@KB1g~_L21H=s-=+P1%~Gt&#qZKMAK99=LR{5Cf2QsdQ+glb(J7@Yh-#;g(F)Pcm{kdvDww zs`_ETa-H!`!JD)6h*_=nw_uJ#wCT#K!M~jsaM}F~9<9#bism+ zc|I~j30N8xegbuR5vimLHzQ~qtbE#L&O$K%Qk6CYME8I=xs@Ke#3ZTkjRmgD{n z`qEkoxL2zTUW^8296FDOa$eCzU)(HWTD?zKS6vz~GB?ycbVHivHhppIE=+b zn@+9@rN+*wVf>I|wL>m%H4&IBt1pDA=id<;X`nv zY#8Ln|3@IXl@OZcYqRH9UE+rfz{ha1x{HrIz_r^04&_7a(u0%K zq4fu+`Qp=j1Z{GXz5^#S90eBXOp`7+?_Or8)KRSBsb-f4JOHnKb0~AAO_a;XXnIU2 zHP-3%0Le_zgDz6&sSImFspHkr+*K#}ahF33E7o3^rV&LSb{hRxxU}kFZlJL)@Qmai zI&?Dp8(+d*Cp9p!absX!bu@5T&s~hz^5xkJp(>QCb8A#m|{rlYbKGYAOZVHt8M5ZY71l#`GooK{QP7D~y{9im@pU3DU8OO2~T`ko>^kc{M z+)&$h4OJProxwG_T27}_fl=i(gTM^dxn;Y_54{5obGxItmL|W}rk5_m_@sSg{=Pc{ zy&na1rK?X5hs;o^Og1UI+T%uA;dC#_JFxNaauLZF01f7^Yqw&J3x0spi`b%wmas@_Tquzvw`|x zL#UxL*Mu%h(|lrCCxO{d(+|^ka@@M5$$h!zu-%oKU4L=o_Xj`8NWp1Pa4+ikSM6GKM;~Udldu5>Pg}*#h=eoe+M+1GB za~RCgx=Y$iAwR>lJpwDCbBSY-w6piwO`%lB8MdV_F2ON3G>GBuQ2EzI z9mS%$2HQjN0PDgx;oF;B9*yNVnD5`f6pL;4WW_&ZE&_B0$ zTr1vOdUHVQV9w41v}q5P(2~`))fmZ+uLauk0e9Ou_4vax(sY`pB^xzYqg)&Dki$a* z^?L(-_}4g|<^h4}7Oo*YW4-=Cq1MBu-LOkth7;Mpk8{(Xo{1v0uL(E~j%T4tAjkOe z)3X8w4g;mdk2_&=TEFAAG+nZ{P_Bnb{%gL^@y%(y>DdWR(5c6CQz)~rYneC|*4-28 z4JG!1Cl;zYf)6urBp$YeOyPuXx8ldN()T zN%N?{^3j1VqqtRTj#0Y*Mcw}~xuLCkq>D@J&pwuG{SO43mo3Abek0I04hr$Oy53j{ zRrHD=tFLk)vcZ0VF&gGnt5lwCrTI{x%zNPJY=LWxh?7U4Fb(&~t-3grL#nfm12@pT zB;c#iYWQ3V-=7L)G1=1P+%=BC*jrx>l=pZtMC;ZKqCLv|=O}Ok-n(k<$f>_~(lA9& z|NKYXeIYPGJYAIQz@0K$Mn*f3Oc#A_&1jwioCIKvmUd3-P}-#nebar?EQzRX+*lVF zpUJf|0+X`?9xJ^3Y$$Wh(?uw>c*UP;*h4k;Ty7wb9etof^ZdYYDKPj}pjId!4>d&| z#p1Cjx8=GbF7JCxuSnl}e(wAvxsjMB=H#1=%9mF0W*$lC)O z?}fswTw^W*y(>-UE@hR1A<%c>xRc=x$umT225kpMXM{Z9!AIzox$EhCC|&Ln@_l(t zpfd|BA#*DSUPGX_BSudZIN|hA?P1{6abSWhji1jzcn*t~A~K^E>k3R0STN*>=t6-L zKt_;7A?8MYmDcilHsqe0Ul;cZY|;2pqk0fz=0+1(zY z&CKnZYb*V5T=0k!L(cIcxsrq(KjLKn8;eGEyQ8NO|&3+mmO z8!w}YBY3|9t?Qy|?rYPJ-vh^IxQF`uz<+m7`s2A#;SZ`4flmQEq(fF8>#=Or#Hveq zx1k5fvkXc<+db5Hw}2C@9fyV5^1(oJ7WhLnV*1vA@#LARBab_=dNo zxnUtthP#i1a<77!?e_j@y0le&Bh=_~fwG9Hoga|qaaRY-ZT5AqZ}O}gbJxhD^L!`^ zsk+#{adGcUp;kY|M{ormk*`_(t={(LTzk_yREOBxf4H6-7@fnXF1L?jzRAZn_sBJu zgG>3@{b`yhDx;|i{6eld|JYMoJt$2*@P?a0xidoLDjpck-hqO2J`vc87-tBt37>ry zkCrzjVBSLA=%M@@mE}UH2`siU-9hP)8`E4ll*e4lwu5ucte;6I%#o%se|7_uc~tb4fI7|o7#7#r1WE0x% zDn%(}KzCis^2I|AK-(5_t+hX&qg#5ot(S&+=#qfDR^^(*dl%Jn#If$b{z{r{6se5e z|8GUA@8t`2YEvmBK#@j!0w|4zHivA7IyvBAy%CW)uNdtddn_rCr;Vp`cO~27%%S}V z*KnmS2k(b+twEM^NN{(CD?=d@2A@D_X4qQ~>oJWs!3@mit;~BScXREoz~F0vvw2)s zJgqZ#p?Pw6uJw)#%;S-|aJPx+mg*QDsBBQf0?ZeW5we-ja(L+R+;}EX)_RW$wT16n z)WhLl20ZTEhJZ`#+M7jeV|w|=d~S3oz_(1f=8S%Tni;UTOMLL2G)+`2p;GO=0&310 z6vPqRc*ueI{3~*;M01yi>LTAcL~AfnBhbbkfdOJ{AUAi^y9{Uw*kPj7@$eXBIc^qe zjvs&N^g!d*fTMV+MO07eZ{x&3sY;~hI?L(KfOP1iA-oQJenV+uJIxYuB2~kRQlH4v zyJoGM8{C`b5XtnP3pgP!8>aPP59ZqaJ3ZIA$ju@}1E60ZZeMlxHz$R1LS8f6HP;4u znC^Gy0)ux4Rwid#&q%X>bf9%)U@M|B0{rqnJ z?JfWwtiup*x-;-&!h%KB_Jg53AVYP$g@^2MqlZ&%!KuTL)UF1*S&@JTs(* z8}7nhz^}=T!Cs-7Fk>f@sKvH==OqxzWm zee{wvou{~*G+$M=+4Qd5a6C6rVJzA`IoI4p zY}h@dtJ~=6YYaQe_y0fz%!Z!625J`Q)q!fC!1O}^Zg@t|&qZ^L(L40l4I~}pYdPi5 zI-yz&S#JE%BQ^1-T|_(lcA$PFV8x8H)C#>XtJiee$Y_G?SE#(_Z_HmFYNX0<3FYRA z0YbK-$DrJJyn|EF^E-%?;}l`Z;C^mk3nmO?P8U6J-9T@f;G(y+=cpMATQ*j zQ|>Y9J-rX0AC4NT@}KkLGsaM#eg~qc(IG3vJZ-@=y#uM5?a(&(WInR;J_2vFkp6HM z_-C5~U0i(+3%H7|)~5zc(ESQ!7^4hUkJZ~k_0J5r;d14z8mpeowbAJTw;ve&ziTng z)&xN7tYEi>Y7@-qVjo8J1B|49L7@Fa;HUTqi*qOF(CG1iJG4Bss&!kMH=@ zK$|?3Yk=PvVNuq>oA_wJU4wEfGbfkvVMZL|AtzJ)r_#I~g)=eOzb=$p9J<$s8Xp*# zt>-TKXHX=^)vKl&<^Xh1?(T`@nT|dKLA{R1{uuN7E6nd@m_3*UT*{l^2}{}06`_2; zy=L!vK$9s2lUNCwBEtocni=7 zs0XEbg0but{-X>3Os+T*w=lm3VU#)U4o{%>(QW!0j$m7Of+oXa*{L!M^&5<&-W@=% ze!ezfVAD7)l>WtcHLm$E%_9SggMib>vQ#nV2185-MXLGwCVD@5j3&?g?PCLLalTv7 zt1o*Iz*8Vhie1Lrv7Rd${)Y z!0=wcQ2c>V)gA$B_lK(9U1_R`_Y%_8Kjb5b!sKYl3!r}{u+3e+et4SKBgSF=ig;Ql zg)%St@+qOJw*n|@H47}Ggr-TCaR6h+g+)YW^>)1~)NRiObO1x7RU<72NRRyZB7#~# zP)-zEsGfOh_rgz*R`dM8%KD&#$hAHsa+^HF-DW_!?RR1*GyYC_{u(Ffz;Z99(LFx! z*NCV6g@EGGwn|)#WULY>At$D>V)kopPSd&H;`N~{{VR)7uzduxJy5_IP?M0;dGfi~ zzDrRLU|=%4g6*%|8F+m@(Aa4P)>=&t%e4wO?9QfFVEaV2hbXRjm29umw9MtZ*o>K& zlA=Zm#wBNdFVq-$lpyu&P|g>QL^2g#*^-QZvlwcOFYaJR=Aia|EYtwWtips`OE75L zri_luHS=rEL;L5YIZ;qcp~@m5j@!LZ6RgZtng11$jUNwKRBissrG@I@T&s49(Fu8D zYp%5x0u9`{Z_R7m5~}-=!210I#Rf4+4-{x4*dT~9DX>)h(+LJd$0L(Zw@ zhk{Ig#7D3}hhrz6H=mrQDZ*<|kd-=aXD9zBCb=VjWe>*;YkYW3V2lcQXrJb{!G$an6nfTFz$sd^Y>`_NFv;|-*BHgX%iH(<8W z6oZoK;v%a@0`lHPpY^c4aX_GZSzrL4huRj5?ZeZO8@?lyDTb0xeI`w-;F|YA;lo;R zZ3>63zA0dNP3!4U-`P9xPE2SAHht9Y0oMnovrxLFnyK3imNeA%XG3|2*aRI{+sE+0 ziqOA?2WD7a-!D`N^XPPIXQy{p3F)f)fBWc~`yiY2w?etfanN*C2k*j2*%67-wCV3) zIZ*t@`$PSDkAQxofy?L~6fjEbpbQmV?a84z6zqO9$prykYpE(4v`5q$lGA1W!}b)mMvSodE0 zKpqjJ2N}v;oQJhrCZ`-ojqm3!$qg4l93b5dQ-b`;sx3XP%6`HvI zdOrNcfXN?A++^qaXSnvYz^j;_!R+w;$ z7ZhBRdktp)d~?9;(Ii9}#(s$+y@EVyhC7p}rd~=h_aV7ft>*5jfd=Avb2(GT?WJMae2R&`La16zSSr8(kBy>aTYt)a8Md%u`vs$5x+1xm=N`J{qd}O2G2(vi`fC zyJ(#$DHU!9gXS0~IAN5Wplj9L0Rz|WU7-e8_lo}Ag#MYaDe=`!Y3?`}K>s$c=-=U7 zJ0)Oov*k5qw+>Qu%=5s%wOD9{w5+V@-xjI|cRf5nSHBxP9ULEUZslsYNjBH9htK4O zPwHqtz)~F9XFQPGhm5ZG*^L`$(~eyOj+ZXc8IQZ{Ud{|b6DJ!2_OhaH&c+;F>Wyg{ zLe#TROZcm0zH}8`=;~3QvGdAb)<72+6M0oxXqv`Olz>m=b3zSRFnu4mkXsK+DxPYF zc-CN{hMX>hn{TT5$RT{hFy-xwp~~teAD&10rXoyIj!=1B?rPYyEB|`||KSG2ReX4W z`8hFh{$X-&HD5J{I<{tkm3}PnzfR4U{UJtTpU)KzpHJ1Ze$9mu7jAm|u6xt=p<52F zJ-(_hH~6(h7~vOmXQAYpl`w547tO~4{Us=TqG>NPUR$@OIpGVIc%ZVC{i#rzy&6^$ zTeDmSkG1D+fVbHj|WUlTfJ>AvV*z!rLK7P`R4JAYv|-9Z-ruP zEF~zzP)>~d@X8FvedmPIOD#4+^_$$_sSKmOOa~3$bW0svxTWpZPr74R2Q{Dzx(uI1 z)q54y^LNW0$~GTCzG{h)^kkOiQXOa?5~z+0Y#juy~D9NaG5-2!GN zDx-(f(sUZM@nhUT8D2a;;0mv$IckI}2+F8`3I9Q-J*daQrt`xzJw>(kLZ}YEYtFph zDMndGPycJ;cU`D0*uoslSu0--4dt5Q1W%(5ZNffApAPur?yucTZtxhc=$Nk?e}b>9v+A}-@VYr0^ajENNY2e^Rjyl30zxl8cg zB^Gc|xv>m&JvZp3yPZ7Q+~L!~#u#(FljHvd!T*v@8^)W6I+vc81j*)5uF5oLp;nz5 z7@-VpBy)t4!ADHb4ipE!3TiRnWW^eK50$R=$~84-0!zvo#wSC$_AX1lh~&*3b}k5| zUVR6%?_iRv76M~9R8Ct(@Aa{d>>sN7RKQ|9w^$p-{|f$%P=S(;exA==L=*dP#_Ytd z11GIX^}WM|lNipEaIzyO@w?W|HTDQq;nEz0UGH{&sU1zW=Y}K6uMQ67@s@2^+=s<3 z0K8m7!J(mjGjKrv8eB83D^GwoQ|or1DpLO(s_}5ZtZsSH4Kk|pS3dFw1_@~FfolTe zwSgXjTAT}Xw*^M)0%H`|f*~hezeYtrfQ&kb=M408dR)M@)ULma<$Y75dnlAk&Mv6B z9^mM*Y1iCn;*16e#WB8*D(^TTupNIeK?>z)hRZ|M?+eUS<(oq_QD8?&k7c$p#5i{N zTyD5DBk%QGogeWZF9gimJC(i@0T}TddvYj8*aHxS1vIDK3B`XH)z3}|^<|hdgB$Ka zP){3_-81M72;MvymB~A1ZtIlF-;H4D|vaI?_Fon>WBzJh!@OLHYF zw7gH6^@sQf-lBSUp!;F29SyuE&_6P;Y7m&=MF+!xCrP+5Ze{VxL_o=}J(iDHe0}Dz zp-h;L8Nh4w)ZO^I(fu~vua*MCZv`BqswYBq;6?+Zb9>lURC$O5Cns`kA<)OGxYw=m zX|5469sEe31OLV<^~F%13yiJ~R0jke#L1YUatX}JpXSC~8^Y&O-HYD)PKL&np&F=# zsk+IgP-Z^MK|%*|_j<0OFV>co1qw9B)z_6$`3gn4^zOhAZR&q5(0Cv)xjmpZU4TKD zyICnKn;e{LPUl`;@%+g5ORCvPp;WWxEY#8w0jqX<2&&TxREvS;F#)qP4dk(S9?iD} z-dqd{+da6!T;F6NO?R|-IGF3OR*AZMYW)hIiN3}#TVtv=(EMz`Nt|1#tPOQMZ)#C6 zqNe*}x?j_CU4cjYoKL6!0S@5wSwPK3Iz@{+btrRgTQDmR8|%~G$vEIx=D~YodfwP8 z;F5D69+<|MJBMr7V25GMByac7Q2(O}hpr8FdW)+T(kzwB9|`5&W)Dbf9G~Xvbk&o( zER7vro~CEmpLIv50SfXbC`h%_p}1J$S)$IjECqJ5T)fIoMqGtYblKf$^Yc%qX#vu^ z;LG~M0_)HN!){NScM-`2%j)smXgv~WAQ^+KLtvma1g=XuIdd824D@OZU;5H+fywTH zHsAbflxyAQfFsx+)uG&GZc1v5qo~ddxCZV9jV9j00Hceym|qp}Xb^L>YND&$gWt}L z9-6oscesQ+bcgGZM~zb$Ed}%k9rX0g=^~^xMp~|cm$ef_Hdx>Wp264I>J%(dt@h6~ z>r{uZ#99)oQ%ky6NBf1`aQR!OU=__6&oH?%U?5WC3PzXH+!S!Z@)rnM*X)$GM03yN znyG{49--QM0+@aChXJc6RQ~FPG`m=U4xoed4M}tWW^m2t{0-7?BdCues4?QH^H<&i zIR`h)bCvKMMmUlf)mtrRVA$tB`m=xq<40gUjdukM2j`GhHRKw0WY}W@yS$?mcilZN zFf`yp!+f)iM}t%Z6D}u>E(+CvITq{JTcEH7{iMn2lJU~@!JLxuhX-bgoL-yppQFET zp}&8Iz8J*xV5~!+>xfRPS~YiP0jI+bxGG^2CG63eGO%dfJowx~z|_zPwQ#-6{p>YH zqNJNE_WMOXvOX}lFVMkrS?Srpg?|GHmXchAXZe7_YaN{Ci*&*1`V;Wk$X93NtoPM< zu3=yn$^KiUYRz2>+Zq$>c;-NdE?6z1P;~1xerck`W7fG3d08HmT)5B18D zK5JK9*BD@Ve+(1N&9!hXrdcjUH(b1`P{NlOi8~7cN0Nrl=-Mb)Jd5wH(ILOSn!9s>CaUuAy1=$G11B#JH>OZ;V}$W7nx8iY33X9;Zk1ne!c}a z;uvb;yv9tO@eN<#26j0?v`aSybS;)0nd7+%|MHr#GECgIE#S#0vZ;bi6?SCaw*Ppj z9zr%-YXqR)Pp-%{Q*{QAO4X{4bB;eBnBN{PoiUmC{m1sER*+&9R}j zA%LH}H{jZsxrfoiX{u{xym}kb9N=;_rXfGnp}%WS4%7z+-p3EQ0JUXps2P5v`@TRA z{>@ag6GHXj!4AAn^}T?Jx8A;?bf8V10$-v@pG zTplnTXwJhO|09gVNudt(tMKIzJf``LHcw@2v3gY~C-bd6xyDD_(5*>s!@$_>u`#t=NT5<{e!_s!?V1td5 z0>{n*9>CK&B$Q9;YH9Hi!(21?^kk2Jx6|G_Xp{C<-rWjMUq`RzAL2hStL8VLG$Hh= ziKSS@Kl(bpbPDLxrXl?z|IB(=>RozB5?^S;BhPVXd^xPYxwsnJ(?l&4Rq$* z4+To`(ix$g;_dimsP3(S5?R9CZyg&bi@To;Wj}t_4`t#*Z`(sboM^iX*3hhg8T(vf6}mRS01TKN0TH2VwO{Wdp#C*WZnU51!b9tqSJ2THXe_AzGIG4ePKm9oar zLqP)3o%QK(lM0ar7o$kH7O(+ffwN^U}`^^<%A(UzSXCx&wVF~X%8N}lv^s2U+R z76L5ibPpi_ z=gtb??{Fxt$9vk_2p4Gyl!GB2cb5jt*52mvYg=GvNmQI0$|z`p-Z$}KQ+$&nw!zrX z_y$k9EeA=WO=Yy=sSN%8;ohP4!3(tc@wxn!Uz?o(&@W;d zR_&T!vo@uLGm*PPc-lwNU3eYAI$zFX7*K*Ie*B$>1ujJs8}mT^c5%Qs0mb~k*90bq z1gf=xJJm@ZwbWUj5vp-?pm}6q`8@&4iAwgDz+rG}z?IQ|bXKVLae?79Q0C(B&v3eI z6O@xD=30%`Imy)X{};5bWEU>wE}o%tQJ{YxBINYgr$n)qG3fO`R) z-8o+v4sy+H03X6L)Z@TtG2l3D0oPzJZYT=0*yokT2H+l zlk6hy*AU8!h}#rv@zhAGWpwwb0GS4vmR;Y4Z<`bb@2P@}?p?dY> zf!S6lRBzW$2UIwhWN=AH^vn*!Ed_td)U zX`*2U1jBnnHPE#RW?Oe%qfPzW17p-jM{y?{|2UfSENuGn-huDSc6c@a!GO`68NSvm zO=pYEI+U};4`8s4;)Z2CoW}wja>{K8=J_fY!K?8F0oTS_`-QSha`thq!J)ns$j_+EHO7%rWu+V-EW`~jbx1ni`5382~E88vP)qaQOS{n|%1h4dF6BJ1ul1=;VpJt24 zwIaoN_XgNBfMG_P{hcFDeIuWPVHOLz3}|}WiG-1*;f(76g_G!22h+9osIOkZNz+t= zyP;67m38qYG|a`YdttFFfIoq|zH)QD8rDd&gM3wQe@Ich>(N}3?XS;5eP_48;DmtX z#)h0mJY`K7OCHt%6NrC=Jo={v9MBr;LRCm+{=-~jjCU`i2RHm?RhmCVP`+Hc#G)-e zhsd^I@$Nnw;`NlGtQ*`B3L^7nScW1zNZVm+>c0gxYXn zz_jb3ngOEy8$?@Xl{gA>4=WW%KV8T**NNM=gmSUismHGnyqO8Z+FS4-P4vJwVol+$ z%5V+J&_@|ciTM{oH8CNl9!9yYt68Pu;(-U2tiFujY4(%t-ZU{7}6R zaHeiT!~B)I#meG1Pi6I86IHJBS4PgkW}0seIQ4DSG*1Oq19O4NCjw`nj;?aMz_=B+ zGCDS}7QNClEMgx66seCQ)o6~-=fE;VY37;%^O&Vj=_6_0gR`s=d>e6h5OQZ@z*&rD z{}N*CAVw2H=69W1I!>2e=j(IVxl4uIdiMu(pavqN2f2n&3_lvk<7KSdMB@OKOx6U( zM+Z8`1f0{k#y2=VP1l46*m+|XDAPzxT;@E!(|49KQ&?gq=2du5BJQoB%pvOpNA&#J zcEE{*y)@%xY5R(EYkVaiF&H!aP~lv-o-+fkm8jW8Z*lKni6Mq5LQ8w}GFW zd^XU1KG4R8Eu!~jN(-<4e@@YdVU6v9`k=s==kv59qa~9epF=I2QB8PK1Eu~flxL}Y zx(-#crZ}VNQ2{5J{Z*kBpA8J@f_abnlpdnSj*HZ1_xs^*L!+6 z_!hr0;7c9e=U}29vkmK9MYhITuDz~e(qEVI%w^P9r)diA^VfuO3BrY&nqMo~vOPi# zP)GM5c=GE2ncHax8;?A)=-XOdCrO(Q&qtOK`~c73!o&PHl)kRIFjOBw-GVwgHQIQ5 zsMj|HR7|a+|6H2Gy91rC1)3PAnRmP2L&L`V1*W?Nj6j`0_XcVHmFmN&u^I(w@@wv& zF3Nx&^cMn#0c8~D*YsB-e(2yw15T?pe=yYKErEXi%3Iocj9b&SfgVQpi#cwf${wX} zygT4A=1^sqB}z(<2ujCoTK#<7$ok(7{0pAcqjNkSeu8Fy2+!D93V2B7;DS)&CjyVb zzac%^@i_2gz|4CIinh|EgJ#}$EQD%(o93qhY=4Z${N5vhl63!6D1&3G>U2=DW<;UiS!9YNHV7rn>@@9|kOoa$C508kf}ET>0w3x%*3Gxi=op zLHHG97iWV=wm|ibc!8qIfswHSQB7ZTo9`JMBvNV%mOwu!)6?l z8@q<8VAu@iT!6~YT@+|MA84Z4C&7bKdrk+-5*?v<3ymGpEsv&geQ z8F-x_X1EzZxzwvh9ja6VphblAc?MO*FIefx`7 zc46J)A1b3od=`&|G(L4|Ud`_sHMuyI4cVk3|1caG@W1?p>Z!#I0{C+y+`U6R~#bEx4R zf!1=MjVGM@dcZN>g5vt^Y4+~r+B1PtUI?>QvjJLHR;F-*7Bsm+ZkAK)F-7<~qWBl^ z>J_+aPIZj_xjA}es5Dhq)1&J8fWfh^nyrtZ`5^%9oI^Y7cL3@T|Kav4$9;plCJuD| zgn-+h>pGMKEr3uYE4 z{aiD<+Q$iY76M(IpsNZm^L(Xn5g84x2#j!e?h19`zjs-hjg8#6HeiiXIS&Pqc_@HW z+Ijdg!2)!1jT=Ha*&95^=e`Eq4r~v&0&@elU`};93-whw2@_{1X7A`g>&U=roWg*o z8uA-8wl(9c%4Wk^s58-Q-(`Qb?qQgweoa@expWT5wHZIIC?5P|sFs2{EY!c_3;tpj zScUZ8u;H9%nR|D@1f54}xaQEnTzWiO8&A{2Lbo0tFd+5dOb6?a^Q28XeNd>shr%`a z4P9xCX79?6_jV6>c9y9ozy5C!?Eqig*+1ZdzEv;sptA@6fufJ)#uxYqw$Ooz^E}lI zw%7cm3irxMp`M1%jXGe}&@buWgwE8@1{$XaERS;&!xU#UwW|ZpD_r1~f6g#G70K0+W&A-C zSD^WoToAfePVT!aR0|$-P7X{NSSC*g+VtG9(K7M6k!FjBECn=&h4P(dvo)cnrv*A^ za~GqtT-I$yU1E@ud)P13bOE3x^(Gwfxq3U0>4r_^VwbMS>QR?-jm~)%WCv~%$Vm+ z+piEFDbkNys_nJ_RO#!3&G0N(w(Rv`%1XVF_ z;nNSdr|E3*9(4DTg9CT);6J%D@GJD?$2_TX*sX@$Jbg6_xL>zAD%4u^V8oDM0CdYJ z)W6#=;Ji_H^HUyIwmU^JYU#n}Axv~ScQL;^#{)ST@Z`P$?m^w?^L@^lv}CIsEBsKY z2ccW`NKsTgeV+%nO3DGq0bE8jU*O;9Z|~{AJU#Nm4V>zfPFGyhb2U(E2fpgqP-~Ef zr`I^0)218voB^VE_5We--J@lz>ik}-ScRJdO;jgC@rMwsqN_D+{w|vA zM7yT-qb*b*VH+^C3$F?Av>tO8dN$FRHaL^Z*s{O~IVB zZa@e(>=WR$)J#;TrK;Nc;3}ex|`S2TpEyg^c5-&1UwS3 z9h-Oq6yHx`OXmxz-4-x};;RTq{l)+{NsYR}W`lqQgmAhXF#c+QVTaCR!Oq7}7imzU=xla~WS5*VoIA&|+1G=49D;|t_;HWF_u*VK zc(L)xVCD2P%=P@%fb}zkR(4T)Tfp;3SmRv*j@b2G!Svw&)y=_Xp8+U(C}%l`{=Q(I zUbt|7Fr#YP`<>6EXpW(ub}sUSc93G1 zf0~HxE+nTMdWhQVXSe3T=EHzh2v!{%(A+P;N#VQa!TuDwctXy9gCuR#xlspn(A6KE z9bn|{$0ve87oX>zsrsB0&6r+X)3Ol+D^nEI%Gkdtc;82bT(dS*H-Z&<89!!lU04j5 zJ{;gU^Y0D|=HlcZ?+8}J`&uyM*{x~=NW8vArCVXRvJcrC2>toj%nks%H^5PH2rKF{1B}Ex{Zue#B4(1m@HEBq0xBM5CSVT}IfAe^ z&`X1lHGLZ(yW@Mnc#&g@-fJHl`|_^^xbdt7Yu9(5NhVKD)2FUK$bVP3nI1VwDytbt zY{h>~rkH;r*rdZXNMf|x`GT_XqTPbYO+?B`QWGiO$h8%&xiGiFHD5WRtESv6VMQI| zO-FU;m`Vt`)!q`&ufg&w^QdKnaKnLI!#X+{z2LB5+OPwz4`zmeDadW)-j@%K3%0rt z&_Zk#;5j1N+7#gM-aQ_SHvi^p16+lw&kfc>V$13HCj?u0cR-tFD7zgxSTeAN?@E@ba~E1*odF^uN* zxd#3l$gYmpzc?z`2mzM58pc0@TdVVcXD|zC7Ga;<(808LGmpDhL( zL&@(TFFhz(A=v}ycg2o?DMU1k;h5(EP+gQnf2emuuy!ZFXr6=I;|QF&)59mJML*Vu zwuReLG@I0r{D*E%aiX>O824eq4M}OjZ@r%)OewC_DZyMUF&JVTM6b%xs)N#*;bJt@ zfognEuE~n;)BP^p(!tgDQ8}l|-=V2+i(#>Ua7)+On>_)2d>;>ZMZkWvYK&}XU)tQP zGBsgYA7M3_!hzJ4^b1g-6>6I!YA+1XANq~Qg8eQ`*^Coogk^eounN*uP(vrb#mkM- zwRyQ~vIqp2lL>qfPgf42H zOfghaHVD}Q)I~e)OwI#nrB$s^Uy|DTw15_B--k2qR8e-F0ytqaVPk;Z*mOmJev_X5 zo;UChxV7J{0Rv>iD470>Ja5c%ZN4X<@y&oTv;J+c-vMCs7gRa{@7QosfRoVyeY4@3 zktQN<2w39uAdVxLZq%jpw+va>&fn+Ba@vnDY;QqQBpB`9q;`yWS{wtH8E>BwCNgPXq$+Xv((<> z!Hh8)7B>1j#G0uj4g^OdG{(`VJpL|d)r4=I%>nZh1Kg%n^R^bIw1r@5MH_V5C5Y;t zV9HvB{PlQLdmf+&G^9p1MZ*|H!FZI>{Q>{At1fH1(&}8djH}0`cH#Aaa{`<;yQcnA zjMl>C0o9Ix0T#(#_MoIXW2@>1C_+hl-nuhbjW{|^A54Gk;2k!I|JIWDxnL%M^d+L5 zhI9tMZDbp*9ZtA*M}SL>B`ezp@D2&9;!nj&0pWw7x$eBDsv<2x?SHM39FPi;Elf?RXN?m(OkiviBY zhVKtHygfk8`|@GI%qCqwy6I5*_7Yq*g!#)yH%Y&bq}JWMzjR=eTiUv)Q1`(AMZg*O zdboUq5_g^o7%(`rA=vEvfRcnDlfRsz2`~FW@p9g8 z&wGegFO&&ZEvuo0tu$w5P|CZm9wKO2LR3wsd;*Rp0+ zur{>!#4Lw=qm4so-+5C&{l$RBmjG~KbrB53xe>Cr@s^Y(7nT+-%tP#WU=Y#3hk93coOL3jf(=$`F`)`EUIz{(E>}~oq3O|nKP#+UZQw+sP!HkO< z*m5$}n&;Zxb%2?Bx=i1B3q@pd!yy6Hg#lAZGNyP@K9lIrK-Tza6XLQiTmotvyZ)?5$DZMxTo*MA|YXW9F04U-r1A*z)y^jX#z*;j94aa!GZs+=3>wY+3_GG{S z#;<3PIIs01%5KZ`bcxWY~-ND&C z6!#C%_j!qt$w-VJ(keM8cXACqa<_!bd&XbBc}uS8(LRZonRD_p#LVwJx^_H=rcUsi zP{Tz5(`MA^nyz*~9iWMH=(Uk*@|3nrd3nv_jj5U|)PsZi_w@=G9*WTvE$e_5Xj&Fw z?F4?9IZ)CdK9=GXDXy@39^?2FlBleeNp&~H4tnVfy!~*nA&g&uZyg^%&s}x9fVa7< z^RF?RyI&vBB^Ljk5ftb0d;$n$k7p-s0wSNv5v|PO-gZ(+G`=5A+EBzzh zF*r70%*{Tu!9xub_yA)bgZ;Q=ty^xF8qpR5R{pmKr^_e%4hpt959rqcC0_s|DCzVG z54t?Xnoetde9`T6e}D`rJ_=169_eHmNH(x=18p`Z+7WDkDQG}RXYcN;)1hy1%@|Z? zORyTw7_TdfyO7;cZTMU;J#zzPE@bFBkKpeMXjz||n-psr#zV%iqmHpemF&^$R>Svk4VwPPv{)AHX&TKi!NSdfW|XbBMaRae z!swS8gyj77QvtT+`#Xb4-TqoLHcK2@pk>(h&R`X9YkUF>|J1H(WR`f|9;|>lO0HmS z_P^e|Jr!MB05#^^yvdtkiq5;Aigv=W8;WbaYwnw3<`g}R^zbtN!Bd>rZAD@i9tH3> z2M5!|{x1JLhYogmkx||8j$me1m+1|))inVwf++IN%ewPi>)#S!Vu!KUHZASrPwHOw zQHZiYE5WvM^9cb9@Mz(^)Y5QI>@{P?9;xj9ZGA6*YT#T=sx3|U@0#o9vTXmcT+^z! zAE)sR+X&L$BLez#+I=EUWE;<>sE^*>8%%v$fO*$K62IZ02$b~? zI`c_dWz1JE(o`u`&9kVd+fwT^+=HFm@n6GBXLqi(X$nk6>7fw%S7xJ4R#J3~a-QsL z!pQdcfmC$w32?uuX8kCLeap-F$2`Eap1-zf480Thw*2YOzzhRwhPVrTs+w#5?f})b+H`Af zQSG%a=Gb^Pv&#r&dFp9y`8bc-KVX7@EZFk{C?cmiW5YXxIml@|UV>XY;FinAI}uDH znjeE(-7NtwlMm`(6GZtrqmG^m2ynG{tQ<0yjB5 zz%?%iNcUq`SLRv?;J{k*GDe7A|C4~50xo-3Kyi~1N0SEZzCE8km}^5jtzJHtqJF1i zfSJ|XQNPhzFIQprkgiVP{)GPa;r{yIo5dem2;QPJ7anv1^03#`XRwUH$931O9@pD(%_tr#N*o}EyR#JN62b9yJA4raP`XC;`)j82yva7#=d4Uih@epw_$ z7mB@tV48nr!;xv@ExG1I`)x-BTY_}kAf5RUCbyV};(AIS4d@{Ux(l9nSUr-WhRpE$ zRga~35CfzigXtm%ZrmGS1^Vdz@3F#B!aGj}J7{~r^qznLT%pdnn2@tphw2C%#1)7*LP|_fcC>0?E&Rr750f#cGv=y!o^P31qe43V zZ$po2D6W_0ghT7Nj4=FwUjAD}U>>Xw4crxF>{W+l0ks;}0m{a=Hv}6T7~r_jznBX8 z(S_p5vs(=uqZ&42e<~16XC3l)Cl57>;{fjD=LXD@hoG(=9IVZYT(PU5Y3Gmtb3WgT zp;g~n@8=eLvlg^!eh}=&fRfA&nU<~&=t?HoJyrf*5lkavIKljEjm$&eO2yz#Y99(X zXm5ZE>rU%0KwTU<^r^SfT$9A~N=Ltz;y0X9AQ9%Sntz}zF%H~OSP@&Z4%W~3sF8>k z64AH>fJQYDhV|n;^gvas6^zHr8DYnV2e_Cx!N!_qP<-^;C_0jS42({@0;r4VMn#tl z#?PjrL4TEq{*l3Uof#mb^!g?Uh%B?`|9+n0x%B){6vC76|0z9pz;Gj*^B%K52klhY z^AT#Wfl=}Zy4u4MIwWY}+*hP0;~?kA?koQ_g1LdWxu~KE-~IX&H*1zK(x$07ftg^2 z%br5$w`VcH1wm!w1*ql0liRc2}_R5dka6i`Ld0j2=U;Id=x4 z8V{sc%qybuZ%`(kV^?o>LL9d^oQSn}{;dI>dBAdy?8g1U>W>E~FWpnX=y~V!RNNCVx;J2g&#Jaa*ug z^7t|X+7j#^LXue>Foqf{Zx5I-*o-y=INvWHu0v?%@bYf#iI z!#x_rB|r7oGy?-Y&(pLYqrWa}{&c@!M%Df;!u7kfst?QBb%2`e5cunOf-PG05bQBS zQYTR7SROeTIsmO+oLgp(1(?d^$0;=H{nK-;^*9fBf4~HLrB8SbN<6qUpw`Oc5KORP zrVjayht6dws@Se*&tYCk+k%5;DSODp;D{7o2c2C-(agy~Gbsy0VdHrJfC^q3H8l+B z@}8n>=5hzF{$1qxw~q?g1L+=ubQ%Et$$FmRk71(=WG2;2>l97La^Kw&RBN9Uuuh?$ zIr?F}UFmY4bqCfO5!uA};mHrhN4kb0)F>Nu;JGO%rTe>5G|#9Qw~wW09?DI0uzrBr z1HhD69mqRV)MGUJ?lO9G;oSk{gkn1584C{T%Lt}>U#ml?I4_{&hpB^WEc;bhru=nz zrSooAWF1bNG8!=04LOI9bA|Uh|9$t?U`-z24sQ82M4r2<-!s96sG5sI<_#OVYRz-) zhqUiu%!tcfyUz(`l&Oo|s2OJ_wAsS~{~EG8)9fOh6EsRBv+fZ_hZ6kCVwYF{cauO6Xk3}6>@(VmtS=!;XVk-GY# zfQkm`S~XC*mJHYt%psvd!D>3~#8ZRPpugI>CavniMxzyqkISQ-dvZ-9?Zzp?Z7wHG zu^MF%MQ*>JI66|CfMRdz?;WB0Sh7_GF8$}$;P}pdQ#-6vHNpVQSJ-5s-X?=Q%nunvI zfu513&lvnh6ii2W@)rI^2XzefXpIYOMv0xV=wz88UfWfAX?lN2QJ|4#qL!Q;`->8* z8oH+Tw|w`DMmF9VFy|HxnMnid#3?)K<-RYvH}|z*nWKSu88uJwvXo+Sxg%S zG-SZ%z<814pi>!rYNe!wJXeTgqYm%^yI_jPP8hyx9G;@>YeJz4`{&qQ-Ubn!3(3nu z_SfZ_o^J!P&r!N2@8}*JP)*vhy6Q7{Mm*TF`ovQ{t^$8%GmtLAFZl(#9$t~BhTTlLuh z>{@>cwk|`96d69-?+3u?3MFw@qk9V~mEjRzOkdLm`E*I*@C2 zpFu=^sK3tg?eyb3RCUp!+h)HyxX9zXw0RS)(xcS@D&ZoZ%zLe!^LPc=_jdT(eaa*+ zFA;xkF=pO}bOSi8QMiMfmChzCbK9_CL(@b0ynK#yO7`+M#~J?SBAj0{@=-1gN}MLG zcLL+Y&IoSdG!2&lO-$ABj(|B7*9U2$I5x7)1N7lEWDU$inTWv(+v56uo3?108&B|$ zMT(B+SA)^Z9=9}MyzH@&2046+r{q@KsJ$4VFLg~YWk?I$Ix@vRf}}aLY1P^_O@_PZ z#tbp-2Lo(S->zz^Xu*T1Rp+d~sojI{YrWluJcO6dHOwIC!8~K2cB`z2K`Z0v%IOll zbp5=&D_9HuI+{+jK6j?LKEXN-a=Hm*8)PpG7=WQx?M(sI$pLek>+*#hbS}9G$u0-? z^Ay{nL!bjBAu5QYQE2dTeZ`GLro9+dpX$_v@;81U&2o0*80fu~xMgEWu_TL*I5e+JqxeN5`Ne%vH zbHBkuyT=AB9vASt#|Km=1k6tYdtE>is;wLv(0)@u<6!{g9D4JK6sa(etnc5L_cVBD zlbam}8;Z&WDayvNqHFrc71#N#VV1(?Bd9TZ(<41zkSRb^>39V6ehJ zxHZLUSHNh6TRsE88yTS$dd+6unnm;G`*W@L47Z?pCE|K#Fjuht5?Xy5TD{?^0Eev7 zj0aOJd2@8XMBl(1A^HymE8{ARcTvw^e}kqC4iD(u7U05l+0C()`)FVL*#I3Iztdny z-nf}^@GPttL;ERj>vjWN^EanNZltR( z(N)K-m7QSofZa&l3B1yUjLD8*rjbmxa}Cn9d5V)b-IQNNSU)}w`1Y27KS8ca{O^ol zhw;4U5UvqDmws;K@bMnUdl!s%>d`=y-4Nj62H$}DGTzllcK}F9gEhO6_A=LnM{SyB z5T*xH7U-{MN<2@0SLm;2oR{S;8rhf!+)E?3(|w2SXK3UY$<~d(9I}^KE+Q($f8Y!p z{at^#R^Ah&UgSl$LJ|*rF{Co$9cS^5_B@~oH7fY4s$IPlOtqRl0*0v{J{F+PbRP}2 zvKY`|=$O(B(_0lTkNz9jmM2r;_P-W#;C?^1P?bjBnQJrnwhg)*MI*0<`wkehd9dl0 zfR|{b;`lZA_6|(b8QbV`q2deHR@7gps=>gtZDOgkn<(}p_if4=2WnAO|DJ&+h5TP_k>Jnfo``^ zx@w-{ef+lz7k2TsZ^HmX8^d$KkajJcQ;JU@jsu=-w(yY0Z~JIK*^YS`*oOm508tYE zKuP4iM&Ep|-Jd~h_fj~w-wh#*wT$S|f8HKo)L;ega70&o^MJpgrNcTvBeMz@%%UE( zgE<3ovaDdv7IRG>b0%kKt^wU5777FGQ5Z&8$HsjDHO;MF5uo?gy`O8SPy=PM^#k-s zyRkykTubfKh3DXC&YqOZ!n9 zvrdN>=O2T`0FCN|_H`iQ5VdOG8X%K@10GFjT8RcgKOHZd)`N8J1uz;Q&u^98aQbIR z-JhKopv&&p3W^CoHP@7TPil3?|KeJIokdTfee0HhIgdJP9`HKkS%+X>p6niN5Az!E zj`n*33=OR^Fq=(3V3_q(WmUIB-)88{m=2ow-lT)}sHX_fBSQxhMLOLO7rKkKE^6(vb2Bis-n|W?oSvJ~PB;a$tar(hL`FU65;@ z`uANl9iEcWAu}Rb#l&)1bfw#cWkm zuq(yl(;N|O-LjUAQ`@;2C2pX<#`!Dt1D35Do}bfI^Iv{QS0{EA2HZXm_)~g0r~~vj zo`UuUrVaGWk(@ zupqb7pbMeyGYp1PEQkjUx}c!08ey)XX|+3`UJP&)lBNdAS`cx(65!r~_A|j$Nyi?? zeLqINg%|BXxQ39pEZ5MW8sdy-(3l2of7Ut1&6V|j>KcMFxmeu-jFmwFN(!!k- zj|_0-=Vv>E^&nUSY~64>$KG{%uFXCW;3)wA@$g`Mg@Fec>9FC(R9|r+H*5I;KCi_? z4W0JA2E~1{|1f*ZvDRQs^DU_@pyB}({p`vdlJx0xA54qxxS(rVzFoaF6`OclgXxX0 zG_z}Pa*9o_-5tz*6HbDSuek@mhNflC?gO|_S#wk?DQe4Gj&bz3l}^@U(I9Bx&w=9bq4c!<;WpXI)_ zMlL`XEt1pq{+CiTLZumQ4pW>j2G}FXZs^`)He3>tQ6*~w>bj^mdqc4GV=>I~t}!Ss zq;=3i2Tkc`y2Oa)IG_|u0t}P(=xSNl{X($mJ^|)cnS8zOwdh3mpG>Wm z-*xfzli^+0P?Sfg&}jdF1`9@pag}UOf;NQt{86d+2^2C}dQ}PA!p%&0O@put{cega z+T4U?ZUR2y>%mOgGvwprOTZp^aki-Y)^1QdF2F+&hVx+i@s5%tf%zJvtAB)Wjq3mt z(5DdF5z&F=L-4nP?2Quw?q*8sv2Cu*9}ev&w0STJc-JJrI88@=J1|8jD@ySMR_s0` zKs(vn7R<2COBly{bGnIx$_+<&hq>3r|BZLx(3=h&CMprjHik8K2AZ z^SFi`I_Khm;jdEc0bU7s72uKpXSkzBgEi@gCjvcwdoY=N9Zc3M7^AgqsNp_27heo2 zj^Lo0Qr#DLYW_8EIj~K`Fip_NI7@6}y(W!Wuv z?Pji-XxK;dW{}BmEX`WM8jD<8vt}MU(f(+znZ;maTNm39+$vmc!#o+~UifM`MgKOn zRmg_3?dH+J3=P$g#B}Y(F~LkRcWcif6qVEA7lSph{Pli-GXPt-#w#5SJnhIC##=Y! znyUq#`Kp8l9l* z<$TAhgOxmen6k7zVED0s3QaD1TTtB=vLV6#9yE|(Cd3-z`VpMj#Ea^Esij-xq&;k6 z3yCn{*&WTc-Y{PUUE0vaU388lIu1Q#(jd{mmun+XPM4ir!%#pbaKVYJGE|~qywXL- z2E81g86YnWCOH!+>pjY;{E+cTr^n9L>kL5ZuDdXx$bl4>*pU6#rT98)p?!Oe_Vd4$ z>6hoLL9FiM4y)WJo;DjK)UTfBAJ6bmrD+#ja322+TJ>{y{wHSyxCr8mUK`symisW$ z{~oJ1f-ZibsDzbnOVPdXrV|;L($5($q@vLXFxb^QE10pg@8~$Zx(em@`*L(;1_K>suq}q90Mi#>S%o`aUy8)51K*k9Vfn{6K(HE$6!R zwG<87VL>X$sZ-=9QQW&}?4gFggPQ`(r!n)w{yJW2GG^#j$=iH3SQi=BSuZ$O!>41*ay zX~Q1Z_!QAwp}4eHPG3|`8JK@TL}{*qX~gS9y4qVe9%rVg_utj1rc|ak<9RTRkv4n3 zb5rbWpcbLlvOa%aFg^W`Kv)x5Je9^{JN7?4*ZitR6N%V(Wx&6@G@y*Nbg)>~D}s6I zfiAJpo~d0x4mKn5>$_Xs{xZSBO<{cX06@k+6wJ7fe(V%V&gkk3>!ai`+zd^JST3gp z{{~HQV)708whjB|o@y81b)t3rhwn*+*-8#nPJW8xe^@Gvsx8pL*JCo;@Z1d82GTyF zgRV%dU{p;Un_L#Gbv;FTxqNd#m!U(Su#Jq*lx)0zV<91pyxX-0K*RLM%LD|PS>|B`E_6|@cOQE52bL`V<+5d z!L2dkc;poUqr(G?tCTgb8&lLL?EQAIatsYt%7MTX?uAct%ew-mcLf*%xph0Y$k5M$ z-3NFD;QoNoDFOP9W<$0 zak~`RFedmtcs_>vBec6c511nYPSbRr`mdz|`=aTqVB?6vp}iE~Q8%iA8h<-{^VabAl{I))8I%J8;JBr6D#GNd$_5$crj(l?~SQLPDAZ-AF363D3YKayhonE<6-`>gX> z4sgr$;EU;#|oEN3uGEU8Bo?LA&yx&B_=I#P&$W>HkMUAy6~uAP2`{~X`n}XzFO96;rY?{ z5gzWMrmV-uD>T4yLE@NC?S#^Wpeb!BI|;E2Mo7mP_!=&Z_68WDc-lc@(*1jK%ar>ZLl>sOtkpXl zQlTwT-!zu){Te);iV{A-wtG68Avjg?*Jz(vVY)7>yrV3*VQ5!;hfSmC2wSFZC`6wM zz5g2O7VqJ?U~V;V`hN%ab&=v0%rk{{a0u771q^to>$(PdjDB>X!KtLI9LKMrv&qr z<`t-`5=Xx2v$_Fixc=U+@ZYuf+9S7Q83}aH{N0$ZF)wfOHoIj+&Ulz_b5m!9a{3Mj zQVCX;F5i+0?f8XwBZd<71nb2Vbv2rF%gtWJrGtKLY;ldvaTKr6c>6Kc$Uvd8dl?Fu znloDr=6HDkv^PCnpTX4|7XW1UcKgc%Iy9(sRXRVK;u5_q$$dP<4KpQHk8Ic$X}SRp z8j_kF4|YPp0wb6cjxkz0!g%};Wg60Elb7m^!Az3XWOx*J@f0qm;vxX8(jnMRgBBR= zRVzb77x6rmL_v4%{L*pUM~}XZts7(JT9~=Gh}0q=*c7Zq4n?-N`eo%AYoCN zvaei6_-FGJf5ONjam>i}G6kycL(b+<{7a1-!}v^_&xhtumOtW(%VZ*!920e zFPga3*{z)V)Q0qo_^*B{_qhSq(0Do6=|Y}@=DAI)1ts;aO;|f*Mnx9@k345=whYEF zs}Sm9AAt-FV8G8VpcdwR=Ls-`!99SJ(}V4VJ?^UbIXo(A@Hn@;FTi#7>HC8jab10w zTfRW;VSs%COt{w{U%i}b9{^zfogR9Uv6JuB>vGLhknda@Z1hoz9}MVS72vdLeWAtO zN$$oPe37S0XW zM-e?In1i}&F$RRTA}>Xgk(UPCcXz8%#16bPbmftkdf__YnwG&+{1>gLkKn%i$_cD) z0qQNM=#rYtHTnnI=VC=6v6ew|*XEka^>sl{Rr_YG)m3Gf}(x;N4(t+Ux>%-k65@oiId#_(*7 zLTJnzkf}=xYFO)-{4TiQfICLP>SF_bcV|GgDWG#wKo>P|B=&F4I%d?m91n=ghsHL8s^ z*QNo(uYes0cm(jN0LQK0VR&z!9Izlw&kHuWFrc-KiuVLK7rJQx_Qrr({pf;S6fj#3 z=phWfUk#{xfL8)u1yEOUg?gCRAw=APW&LYJpobFcCwj`Jt5p+tIamx>k81qFhYyh0 z7cQk1R!lLVy(K zqc`C~z#uQZcBypx8a$=#yq*R z)@heg=3LW@G(tazh&5WaN*4?p%79y`X!5rI6LYhX=6;)pj(C6q;u$k#$l{hCVuH+# z(o37bX~%#EF&SmT%R_aoS{H#m7U0{K=%wm6*%53C5j}B7O4eUb(OtwYCRWf?FSkrb zzLlb~=GMlGpGxtESmobDb`ONBe*fqX-WqI1k2JY8mbDFQ2b%*{=)!N&g`Y7>j$R+I zaAH8?gaAL7?9@#=*|l#6QVXLL$CcLw+kIZZ1gqD>{bFNb({wDZ9c@k5L_*`U!8(fQy}^{1*T8c{?_wDLkD#s-_i_Twi2LZ7xeD^UPS#hjV>PbuNz07H)YipaY3(gmszmx6i;Q z?f(o>HnKSNW{7Q8v5I{=(lp?|uST~@#v81dGnSc9*W3yAOW>$nD<7>y-&(NIMV|=< z%E-1!PR^dDsDb0Y{+jm6kgYRo{rdshXrO0|McRXO?&8T~g@y)g+z`;k(mI*4w%(sx z4gesDMqwLhw=uE_PwC$rVBpf2w4;XVyocxcfRZFe2VK1Cd^lJa<*YSYVkpG$odI{N z0hruQ9iYM*aNb3&u`i=)cE9WpgdZBqHpHp+1n7Zo!j=ra7BFsuVK-b)mXc<%dhCR& z07gkR9Fbd=Y0H=v=woi9zg_5OtVN^he;XI%T6KCrXGehcpmA%k0WPdQL+2I2&b^=7 z&j(cWt>($Cy#Xq=+aBDt@8jn*w?;bu@VtP=;{jzw7H(Bq1|DV8Mzrc&y5%C_?gN7j z_?wPgdnK6Pb1*rmL0cSqlouWPjZmmMAz+!OxEQ7&nJnn0x&dQy3&*BK!(EUzyz_@! zQgpe&2dqe9c-go(puRT1S?cmB!6c{uHSqCYVU*D~MfugxrTtXEr)~Y!!AgJ=-Etvg z=`pV1Wq9~ZMO#c@-3krNXWa@HhCIaqazBK+eJI6i0_?eD+5kg!*?*l|o;fF=;>m89 zvD12K3i>~%rLF>uuMF0>E1-3JfIf)tbx`+a=LT~g-#iYWjo8V}yvQTLs<#Ad(8vMz z^?8&F`mUgw@!`!Yv}y=Ljbqx?=XpvWIT-TaY927BeJ+*l!g*H`4g5|VI=FAxp@P5F zJWnO*Prx9K5lshm1ye7`9i_V&T^4zO;n~SN*hWZf@{K-RYnb8^q%#)YVz{#{3y?{k z>uI_1+b)>=Y6@ukE8GIRbv2wjn_M1A(E0P2vu51hNy{=xb2i@Hw zGRG{Lz@QtihoZCXxLO~TS{bkn1@kHXO>0(B>+TY+SSWYR=UPeNV)lA{lGolb5w7XRiSJ%mOvGpOi&dtiWG z-xU4rU^m(i2h@iJXg6H&o!>$Qyc~TwplgGWrVTt`1Fdq-*?J^c3#PP}1J<`_cAwxH zL&t{Q0h%Qv<(|W5s(>5a4JjK8F7iy9CCM0q-Ek+yV*^g)4T6Hp9tdV}ZZXH_hRIZW-A&$EKVT`E;(iWYq^7+!LVP#axxgPw2iHAWa(x z*9L9a7lPHd1~`l9BACAIT+C*>0&t6toPRUj{my&2_5igsP3<|D?zcAw>_T4ZO8|ES zEW8uIh~pGx{#>vUYvvzD%N8D@7OHLiXh20#C0>9Up19LMnQ9b5r`N4-T0KAfTvl|h zrk3tIh$zY<*rUBt?cb;gKRwqPHwO4TKP0Vk*1Xpv+6=+Dkl~>U)rV5yo?AVrLdpAc zttcJuFelKQqM|8#b4_o=?=re5a09}1Hze6(3m9=U!yd+Bj*ZQ5=XeX^{F8kH3 ziS@!AVjL3M5XUo(2TVO0?+DOax{r5w`bCF#NX{|3I$-d+xf9UPr-3P>HDWhVSpCES zlx*A-ptbPpNb7szY_o%~OXse@*!u3BJizD4H&|APh`tSZ`NG9qTMnqc8sI1{aTNJE zn&dIM44!PwH#1PhBkuH&of9g6uPEOUg`GJJ$D6jDRd*mE?cr_ zxZ%%(5oL4eUCUZP2PLB7Gg#}O-nyKwhq+~r)oUCP;I``nFnIPu#ojCjugW!Di1l!c zM%Cke`}ERSnjLgiP{G`+V5)vRKo_>H94Mz)1~XROW$zH}yuzr9-}UGonOhuo49aRZ zs+Z@QxxdaTjqqv6JmUStQ&Zd01RcYF!3A`mXi>cCNl#nBQbMJ_U-VDx7arotc z?y&*?1?y;-#V>dC_M~X$RQrTro4!UZ0#ep-kWPb-ria{ja*9qz^xKX5^bXCn))N6r z)7`M!X!6t{^?fOJX>(cnfbnI)13B%XJa$Y#@dKmf_dJiR&`MGN3{~e3U_=8akJ2w7$vP20qUQ9hRamTA0|1EVRz$$L?!G*#dUb%S9_%iQ;Tlt`?yoD_}TkXfe4rZp_!W?*}t$7GEDJD zkg2SRAj%ux60m#`*D$o}3nNpyI{Z>VSr}QQ777g&39sL)fW4+Wz~8m(_{3f8H)wl$znx1?m_gkXD6 zSXYw9^i9919Gmc|6tyLXL2R=ZWzQu%zK77v&|2g79h&C30WN@=Q|`8cmkv*b*{(*) zTPrF4@{yM`d@7G%kBecgXM^cm3^8~fiMZpbV1uIqc0rQWdB774fuEt_X7e>J4CajL zQYGi06kByb<7g^0OWwjb^Xz-M_E^Ao9}Os9F+`*KPX;)q%z06J9xy*GU;z=(AJ;uP z`t}s%s!GzOEgKIEFj~7G`qraw6PhvP9lK@JESR?LzGPGK*1I$MA;{{{-YcOO)FJ1g=@K853ZBzsR zt{Qbd7R(H=>9N5)kj80!YndW)Fx?4uReV4nQ1G1pmi{-OJOJha*cT@14QKU;zs z&e|76oX!L8t^+)s$QJw*y*&4vfDW{``z7)YHF}Q(Ob!WfImAfE>YD5xdPyo=1Tk$v zz3gE?yNL3?csyY8z5ugI%t8CEdfs-6>ux+yc4l?jmiWS zV?hl_r_ybxgLx!a5#YC{sFuy~!lw{yj82c>o80PPs`M?UP-yaKfG5~ap+*lv==7FD z9^aW_^VEPcv!Sc&-z_!oVSVk`?5q~TWqe~yKTM)@40Y&L7hINT)ZC}ZKm(4Ukxu`O z7@DM53@sDw-$TqiH`Lba!9S0UsFwrQJ^0yUDf(5vm+01=SYW3G?$R|?Ws0z>gC27G zX*lh&UE{D|jeYpX4LQH70YR2yFE9qf^24%pU^~PJVjWKXV*bmxHw! zX3Ig-P~&$m2{1n1f+T0spyBQS2c;XJM!gsyNj%@SLHFBGqlN}kWZXGtvG>aJDY@nZ z#+3CAG^pnP6R7jmsg9g;obmL??8=5*f} zOb&Kwu6)~SBO#}o>Kq5#N2X{1tR$?dBs}UJUkY&ibuqhM(@RfPY4NvZn%g`I48KH| zq{2##)N?wmgDV$04^#0u?%NwM)h|<#Y)c;?g?rC6$1Q=>>bMx%*0OQ%(abt`f$TUJk2ipSlc-~AGj)91CsL|%3 zUpg+}RvtQiZNLOQU;kKx8#5iys;{I%kMTnob7$&K3Ki-b;Jz7+&ef(+(#@%3gh458 zF9s{yHs2Sl@o<3oNM?_j541mI1=Q1L6M}Ec?k50e*Kx zmi-mHw62yP;CX{R)8sGy4 z{OxEYqQ=RRlDp}fQx8Xtjd0aXaP7x}%^wXg;n|6VOJG#GxDQD-Jb1NfHM&u-Wb!93{+v>kBSa;um5~$b{ z>=(ilxRU?h6E&a9Q=EiUX9R0Ec_=KCGbP%H$PbW+(MJMw5;_Q+_F3=HxoP{Wxu%xg zYZowr>tW3afqyX*i9E0a)z&yC2w@3vl*##Ti9-!l@YgMF^W>i$T zM@%*7?&LmRZmN_5()2#A`2h1&mF!iht6`ii1gqx(`yCgsfpxcVh3R0vF;wCcSxSlKBmXZA@^3JsvHsgt9_ zgSnAcLpJ?ixaG-!*53#FZNTpUt`0Df)C20h}&6^E4QCZGu*~+%-pC zoH7>gdT)x_u;<{BhZ*ibUA}`2GeTO_1!L(frkr#^!v_Zi6yJMuuw`i4ha}EPjEg#o zPY>l9Bq^>7ZPs#C7}Z~JVh{nH7}I$T5F5O3;;vSB^q)Fdqm4BtP5oUTcQz^sOA9fy9pK$DTX529M-m1Lh6y4k*VYV$q9AVq}Kc7tht0od9-7fNRIv zd%xA__KljZ{yEl1muXBd6|M=bHwrPJ3q3@tK^MkIldZpx)}OW3@E_BbPd5T8m|X1X z&S1uAR_b7W)57S?cg{|6wl(1T*93UP)A$|1Tq}B1o{v&=@wAOQ<2IDeAeal5!()P7 z4_yqrHIT^~4Q+f03`yLu7+?ZneONG;YxEc!J5n?zW44kx$4>E_a=ZVn_iS!y!z~B! zny%{q$)gpzdJlBAGaj621+=^8%#l((x5pFk}gU~3#Btocsuf}Hulfu8o(rzjfh1t1>9m{LidVb9-Cl< zbao~cJbuFCwQ#>j2b+w8U544RF%x}T;N~)w;mHGT86swVEV>?O+gpxG(MggCVSS3G z9yrUNp)RHj_k93nX#o;z6YGbADH|@77M~DlcPG~`jl{hje^cQs-*EIdk%RqEgE3ED z!qyp)bKj2V$J){#uT+Q zGOC7>8|iPKX7u@QCZ<^*uQD@DVkwn}9>>!4h7#cAiasNEEx4%)usPfXG1<-QjOYaAM& zOVXkB8dTI%wsBbYk{h7aVL_CUW=omP)tl8whx>qv}vE9f?@ z@#PftRop;gkWvSHa0vfEfM?4At*-`Dk5Oc_a@<cx?$*be~2VSgno?cI9yao8KBRng`sDnY(`{ zMgE~L(5Zt}n*+=y{mC9GUK^lAZ)4GiuMgOLLVy|KZTL~niufAXIe<0*bt#VUr-JFD zw+;+8e1syx@Fxg^C-<3^I6(N#O&MU8s^x$N^wUI|H0t1g13Y)+JQSKbOw4IGmR$SJQ2{O3Xu6n-nDTN2 zx2Eu|k7VzFGkpeE?V6uRZ%$H_;+;!^xx)L_M}z${NrEnn7X#XKwW9lK%8nhu>KiHA zE&MurR1}dejOonio&XbVv_4KfhP3&osOgnR-4AG*i&yRk+eCvZnC!&l_HnQuzcIjl zq{be0tm}g9Ll*{EWkZvHaCoq#8v@op$NERK&xJ!jzi6wZWCKg6-EcFcL^O)yw5kv3 z=JNpMS%+$IiGPf^hKNovzU3R-?+K??gd8j*2P;rlJLDb-mt0!!;2NgIu;ERRy+Y|) zbYYHhGoQM5eXz#I0;*@YhSUvVqn>JcB^>;BFz*KbyK4}z5xK7!XB-#W)auZ`8Fkje zb-B4u3#yB$y(3^j=3PmV2e`4zY@lUYAj?|!2Xg{5q(Pc5C$b7spBMFZ1~_w=&4Vq` zH*Jn*bpHq^!5kYGu8om-cCS|DXlzN7RvG(p8{V9`Uq$Pcl6R_N|nyV5(UY)nKKrhvG3F7 zKmSyK!Ie4PI!M;;%Qd-L2h$-~!jOFz);7-xFiCq+;i3yhFUx!t4x0RGfOt$l41?Qd zm($&aXadssF8-_VW0fcO2UIZN&rk!Uu6JfIMXv*$O?3UwX9Ux4ujj!wt;wG*``O5S zS)-z9$7%|&R}0q!G$3N<@PPW-0MF(#L)QkGh^D_Wyfd{e*u4`y{~0e=%YL8sZI}m? znFHR^$|Rt0wF;*DHdnzInQG*;EmLj|)_OKTm(D~@6LH-^u?Kz_C>w7HX1b1xG{q}` zuJXse_u$@1bQz?K|+OMI(oh#9T>r zrbKYzj7<4EYfKqJjRDQA>Hsyxq9$m}D}Vhp)It~cQYbHPMqbP$@{2VU?{%Qx0Ided zb9p&7amGkDr!!qh*P|IFmFDSSzH$nW^r|jglZ~C!I#02y&SwV5iyN(1r`Cz>ql~>?56wVlQhUqPwsv1GIMK;(*ab0oAVt)IGo} z0j~l`PM%_(%t@C8YbzyK5Vh82Hsf$^6Rh^8qIG6~QnHE_a7Lh8<{pmzFxSf0>ma)! zl@b4N4ZNjX?WRblm*n{|!Avdo#K6t!d52qQkoh?VlNSB&ySdqs*bc4(p0`57Ywq(b zkWJJsAa!Lgh0=-8cn(!D1s0FsnvAD|dUGrMZ3BF)mz$U2MSS#)VTL*J3613_c7Enf09^k~iJrCBzf=H%iL_p`b)eYuEq68#SCOry; zrhbb1z7jCNE4ZCDZ>DKgex=jC$ZHLxvtA4soK7vg+>J7sY*}{SUY(+W0H=rJTT;|v zc^AYs>2V-+X~y_N0Uh`@dNROJqN=7KsZr8uM1y|5CqVPC=Mk{?1{iwTgKV_!2w1gM z?+d1>azWZb#7}=5KwISWQ#@~V9`GONk?CTSPX#k}UA{`UW)8=+uk6~lZ;Y26)Jl(0 zf30zUitZzDP`A0?*)P|O(|lt?ur`mcX6+FK6TChogTaH_w z4p!5&-YEfQ=byztwj3MKhmE^m51>b;L~7S|DR3y0agYuV7}Fy?9_{_zYwvZ1V-pP3 zKQ(YZfuYjH?E($@pqc)XMT9%Rx7G5@8D3VF6> zm&ZGC@))kNc+aE0QwJ#H_cELqLn)csyjOz#H|{$Z)(&Axah#`-69F)^N--~{@u2F2~2A+3vz(zVaMW?5y2e^Vd zJ|fuC{sA>CtFgO&S;T3d`u4qJbIpUN^vwoz=1uTu0FM-Jr$NK7P?TGb1RL?nP2+(6 zB>`PtS+=vjFPJ2Dakqgz7$K9oM}ES6fP&3F88AnOEuH|NazW&uQc?Nc;;L zfR~{?xZ74i4HeAy+QE&y_ai&GkC%7u3UIKlxTe@@CtDC~2xn@5V~^@=e78i87`FS5 z2RQ1w718ed&6gTZJFQx{hzB52Wxmfp%*ZoCG2Mk(viNd%W`g_Xha2 zSLfnN;sA0Mk-9UOR8w9Kf~F;?h>Dlc)n(j*BucAlP5ufw5xxGFfH}O}ctXGi1kO*9 z>YSL<=F-RB^HSltoI~Wmy>k-@w$=Vr5_hnjrq;RRrVL7-%eC^3i@6zsEgT+Tu*=L$m-clvDms1lu>nnq$N*l$L6bKX zAJ?Z>5C#YJ2Cpo+x`@1!xasGE4d|ARx~{=8{cxP|lxurba<=J==Ls&nf?G}wnB!Tx z%v-*%OIKH@*t9#qx7le2krDvYhS7q?#{lhzSo*rP>yjEYACmguh$QsvJ) zY1^V}?{e$HJh$|r)$)M>C9KJ#KF9<5JfM0%6?Xqru#W`v*6265Get+vIURIM#~)r7 zteOXC%v~09C8XY&YfjhO)b64SuB4Y?qMf2SRA$er@&A+_&FFNs7~rAd`aVvah8Uy9 ztpObfs|~9a0k~Q}7_dG}=q%Q6pkhlva~@EVEqO|@AT&sYsC}gsYs_mOo7yE6;!VMf z%a37MgNh2>Z}9j5|IqO|7tEE+O=kwHxX-OKGV~vFZ3xw7RxmD@>mrY8DqH|H!=Ooz zG|lZVP=R0?2ia2vYquy;Q6`knQoJR=)nQ|Jc2Fm<#;!>Sr~d;O>fFjrX6BVTudN@T zf~VBH+(?3XBU&GixN9CrEvBzA2sjGWZ9qDm)WMEmW~fyk4rUzAV;r61IGGx)DXb>L zu%_OtaxV?^^>iyV!%9wbYo2#C+U-HzHScv@qd3R!Pf>}jF9*Y!9UmUxqJRwW>qt|C zW=abj#%lP{f}s@xVm|N~I`??nw^5Q6x$k?i{AIln8h8-Z14O$#ajaGWjznp-x)Aukn5ivpjW@?9l=~bUr;Y$vZl&`Ui}!V zoEPv9`qp0zknD@}vQ4+NlV$=gT%V$Q$o=N?E9i_agj#D*TgS%u)pT!ahwwwM{$P5v zOpkgrax@QEr~@2H{**Q=n0F6@l_)msDXEEX3N}PJ^)iYR1MP><-Xp-*kE=Gi)ud@2 zQawRHoPn#76)HKPEl-~xFoZ&`>dVl%(tabipf1&&)Y9gG?So840u6jL=P7E!4d6Hz z{~-@mrybQ=P!}*%JwLD+X%R=cwII#eD${$I$!15b6n>b`WvdQz>yc?$ZU& zv1uddjd_4)nzZX+o*6u$EsicFwNsHt4$9fqm@56NzjIzN>D)o&%aOIT`G0!E;+m)& z_J02M&VXkW6%6eN0r4cUK4f=awEdVpn4+>#_O?J>Lrp_SJVQ!k&m5tC2_D%u(=VEJ zib}~3kqy5k)IKnn!f-t=_rQn&!rE8;J^_YJ>>vlW#n^-N({P{5E5FT)eho_gZ^s6x zY7V63?0gh<3}^JT+Wf--*SO>4j1)a;QwB(OgF0@i8`9GLh5)xQdT7Dy5FUVy9YbAH zD2!@6e`$&>iFjqOJ@liCsJLD>#Htu->Ox(^9mb!#bg;&j=*zqP*#zJcytpS7j-1_x zxbMh-^CH6UdYhBEJZwjc;X^o7oq&xq{^vDl=4QYYfaupQ?#2rv7@ws%t zPi?nO3pSnyY&t7Il~i7KV>{h*VXC*oVtblvHO4S=`vuzHV+-mLRKDed8 zO%c%vUHxa+AssKzOv@X+Nvw4O$K1j{s>OgA z@2%jV23d(P-S|!P{8hgaU_`SDu+dHOO;} zsuAJp)7%1`|8HJo?69b=gDa0}zyKGeG)6u8Hd_oZeWgAG>=uB|1d?6+NgKp_=U5Pz zbPYwcO1=AiU(f@GfZD2FO9P)8k2b}nA^x?w*u$ORb3}>WpR>jwQLIv zXgwGpyX{+vebEBP{bIBxDZ0$-c-~mkGAGd57jueSx-5$z7$}oWWV}v7@ws4QpH2_D z0rfcn#+4m$^wH-Gy{6^K53SkgbGatzTt-p|K8o~Zk!Q^irmW_~mPiHfMb#hFKFT#bMCVVlNYk@w% zvK2krwGhzRF93qStn=1@8u50<;{3y@$6vs6x5!nm z1v@dIQo=R_bBnc^^Ihb$cT&Iz`{Eaq+OG@tSC4QF=~VQpL9kVo4(r{ZTi<&$;5pbh zS`2W7a`JF6m$m_O9QI|5u2Hq+g#90w|M5)AVC7s>h83>*6fc}L6hAWq#+5%EMf>x`@!SM8e z0}w8E?GN_}*0?61Wb|Ac%!%0egIr^<(XviHLGk*4-qitqVbBHh6$IVApd*M=Ji$A` zjtnT#Zo2wcbhW0d?zE`C9IUY=U^_B2n+N>+(*n%qYuCZtCOAAh*!19l*4qLU?;k^m zgWn!trnVk{3o-`#XYEw1Py2e9>((Oyu7>~0$-(Bxl}hJS@LfP`HR}Xz-if+poLwm>H6QTWYy(wUTIvZ;L_4fzU z2XU`a<8mq_EHrIFUDKTg2(Te}SCSe~Qtx_vE4Sc09lsLLgz%>O0cs%6?sd}}sn1Q(`9cdC{OrPj#x|}&h%Qgi zbv6e>3%C7HZh;1F?r5AIY~$nH_i%uY>-qfR)1t)C zV2(pzPQJNd&gpt<*37k-3Sk%=$<6eCUwhnb8CwI^8*~kJBI}uaLapn za!J}lA-ewUvS3bRi%0tqx4@ou6;QVT`%>h2`eE9&6M4WC!b-{F%|So^*5Get<&0ih ztJmUMRtpcnmM%acoucs>!9KW&o6ioYHUQodpxxbsj2q>gq0Y*#?neW1u6~``8w1LG z>l4A|w+0x>p4=8}@-B*Wf5ZL(ZCUZzV4VXf-Wgz)=-~+K5MedV*)NE@0Hua@PfNw~ zYpq{8F2(*?0oCRJU6;FQy{?OspYPg_b8^jrMf#aOsv+BOaw^3rd+fS*1U zV6NnbyMwLf_p%B~n#%Q?O^Qg^41x`o!0-{viY(Gz&bG$aE4xj)V3!2+jtMyb(SWB; z52&D!39QdRh-)xp9vrM4*XigZ4E0?B?gh20Q+nQ@zb$&%LO=${M#~;O7fkoum8oL0 zVP5~(0G*E6mSBx}K-rt?(8j3tnb!vxGg{BZ(Qz$1TIgFj1#EkOsZ9>xCEWHP*XW>OufKaH z_rbCrEc@(10bAu3azCbntNE1^qkE%ZI@|Z5ruWfYgT{kj1?vG`33wHNhOdu8`ZVU; zIRP9XJ{np{tXq3WE|oq9UK1+=*@i5wJ0NdpO`{0DPE$$Q0-`Gs^jXc@%Js;vf zXudYu>0q42q@jfQu7SczRU4o#4!G0X)urWK-8vmcImalq95Ug`6}!{#;eTP1 zt6F+rBP`PBfWTeoxD4BXGTa8k{x2Bz=kn#SP_tRUtYXg+t)UhU^lk^P&PuThU-ZNF z!EjFye6iV>>*^fto*fwBlBle1dAg6LIw4Z|n@^-zXV9$Zp$?E;TGUa#Oa1aibayAJ z`?plrRphdN|H2gI{aW7Ex<8=Xb2qFry{p6>Z8^VE*=Tx7aoQYkkDy3Tsna&AQPJob zDsZT6dz2f9?2l-IZi>qsrI(?idiwfxj+YMp6~oS89e1fv(QNI|lPPv~4%9XViqF3? z)cp3qh|WKUE!GarsI#l<&qHkoY)83)zLd;)Tz3Csj!xXi_|DUEqtnLan?r8Ugux8~ zV4BWw6Us3lj+a?24fS_s2J%$|IwD0-ZYoPPGR2h58%X_Fqm6m?fn? zyD{W%sIHZCiL?1=itdBdTk7y{E^fH+YCk`kN9vmb6B=l6?``WYhSg_uk}ie#9&y>&q1Wg~MGyUV zhX!i&P~FA`BdjMm^$riU9nto%TvLR%W^KSQ#u-Skjzt=4i)p2q{r1p0V)P^(w_r4$ zO;Ir#ma9-gC0L^IFHodkHZUmehaK!mk^1Q!4v!Dj&)*6U>#&loRVlja<|NLTpqmrS z0WynvfYzOlRXGl=Td9qu=M5eU)M&zneFDW3#J+gym63OM5v!uk1O5gH_UWrHFR5r_ zNjqyd@H)EgZM1hM-eKI)cv$uR6xYy> z`7;Aknqcoaf(mJtuD9=Fhj!*yuIE=|Q~QKaa;<$*DAy{-=$Z!}jOfWa)>WP7(7&?t z;A1>82)ygGK!pkzyK&fd{c^uYa&1Vh{ynvFHdbM?8}vK}G(QU7huOmmxdF31Kx-eA zrjJ1X{Gvejl7L~aZFDf1J)~`AEK`v%Eu%{V9fvUtt){-5!E{B6Qv~41uBq4WbninO zU31P^W}nZc=omj)Qn)TsFwFci{OhB7H>!FVJR7qWed*H#N8;7g{uHX_eoiH=HuWy! z5hQ5%-LJ>a5Vymfv6l6Am$P!MFYDAgl*R)s>=2DviffQ+3!!X2AW*)Cfl;W#CU<~3 zSL;*z`9}lo0|T=k1>7BHEBmt)pF!s3%Yl1@QkJz_Lg{_gmU@Lw$8rx?Skf@FV>CQ= zXVWV556q34+?k)U|7ukRut3*sE=b?2`<9{|VO3Xpug{n~rMF zrf9F#d3S50s-kzJMzqlg?c{g(sU!IT+1^@GB=0sJ=Em+k%qTR%=A86CiVB&oF?=A< zZbCiC4Ss4!57037Rp4V%tn548&W z;6LAqnNE(KzG&X;4^4gZ6z=aOz7Co4NSxS*(WK|@(UjiI8$0c`5T)8-G>6M zw%o@r|5rMqeQ-HJ#Wh#ES_eIC91u{I`!H53zX5$QtZvNGQN^a&_bv`IC_ zyxjPjQrNiE=nk^fnH?`c(R&Oa)}9IFwAoP3U1*acn}sOZS*z=zn%@mLJJ!55?U%f* z2A>Vd4}QQSKLlvZa4t~gZ$(#4JR#KNlz?vDDn)jBiY6v(-W;m&jlh`E)MN@9_$;b2 zQ%e}5l<(_$`n=pI#GhayM^wW&+|C#Pck8IiYxhghINaPi9=SMB@Vze8L(F@qACVVRZKnK9zSKH+k;T^h{8T-VBeW_ z7u}sLJ?C1-h*@tNLu;(L*rvl$tW|;0K~V1w3~2srZD5E}J8E3FCDebSsS0#A1^PAv zMcX?+>*A ztm5}{KRifiOnVLL815LsgWus1_f3>-n-oot>&-&VczgZ)fDwAT{alrz*&?oO*XU&> z*8mIR=S9k*JR_pclarqs9ZXK@@Qpq~@#jTE_&u}g=GKQAqAIQ#mec6?(LS71@5^j< zmlR9-3e}xk$zAGP+c!{ZuxqHY!F2ynPJZSOgqj65BZW40t>T)|#*w1Sbe(*UbC4)(N!d1IuT| z>CyJK=b91C(YHcbjrIc1!GrGYPzb(*EbZ*-&_9I{i%S-%gih(4<&&=rq-FETwooR% zZ`&AZIt$FbCs3Um81MrokuOlc+I*n#Sm3w$sXw7=3TmE_#6d*!HC*b`#fiR`ySD~L zCk7_)rOn$aiZzO@8I;#f3e`Y&%PAgvgt9IU!p4?=^SOj|NO*SCvcHftt?vy%G~#VnpMfTvJ9hs_Rme+VoXk^eo)) z)I@dH8aTT256_Jqr|}=W(h)+(X5xP!b6v@;SUr6e_m{nXG7sM$@C*{Yv>L{@`wni< ztU1hZLzBBE)Qop{c)SysE{a)#1BlzE&cQ2#yx-=R82tK`ns)?hwSb50xyZWqq!b+tHQdXG z?D-iX*Kw|ML_C=PMH4ma+PZSm-qYL|0%E5c*QKXgEp|<9w^^XqK ze=ty6ADHeNa8~JxZ0(X1%fcMGHnfvm%r$u5dKUO{!0aN=;hQXQ4fDUejBgmcxR=jy z7nwUIm(hT}P&+W7x48@abJW-evtE|yunavLh*8*t0DSnajiKy~+x7_MLWZ-a$+;=I z4D$w>=p3w%jO>0|iwQ64At(o2lfNeF8aAi&4bdfTE?tYLMri3T4v80IoS_^5pOl-ny%Y2Hl-+8Bwp{o9RI< zpYXhnw>c2(&aZTNj+-mnw z6-rY>84Qy9or?})bRMenuE{l7b%!bi>kQ88m$*u+jo7v_H*~B^KoX~@EIQHz_d%Zd zp-}722uz*8+!CsT<2sL?_7JW4aK`!;5uU66B>@S=oZbaI6Bs?uUE2F1-1r&&P0jXG zG5xDk^t1p+KVuIKuDQ}*lTx2yr>T0z`Mq0Ko8e0jJ7hoC({J-4KdZP2s)7+t*p!xI zloqpoYHpP5ojZ7hnrdjvAtC(o=0~`3Y+yT$9zI6#(STna96!O0E4a20Fb}!?wNUy8 zBlJ|sv}yhyP)S#5->kU7&zp`grcZaz4-D=Bc18d+x z#lOwj-X&FTpf9cr9IDOcy@o(KpADtRJU^$ie~JtI+mNOjaIw9LY=K7qwNBB`84(RI zxku;s90%p!%KS(9pb(QO1J2#+LJbj0m$$9-Z8WC4YoP2{KQYux@L6kn89%jy0dip- z*BA)8OAQ>-E4r|KJ4(2nf7`w-P|?b<_St6LkfP0ULirz0NYRhH46${(bZUtmaVyPt z)}|&7_DgXMk}irw{Z8SPP6oElLK(x8#eaKNiep;dgV{FU98L4N`c$a(NT9toU@o14 zKOLDHz}b$>UDme$E}+G~c70&}wm_4XyN;t9P!_mf$h9tvFp#qG#!%{?i^^qJ04#YC zKdgo0Wok|xeQA6mP$G*c!|)o4R|W=G1PY(&GYw2e$vEFTRCPDkFw)aI1Da;FQqvSUyrXOI=uaD=Un4K<+HqgDq|Z14k(S-`E5)j6RYyd0QSk=WOb_5sZ5DTpJ=jhC0cW3jxz@lR(Ak!f z2loBy(){l(XtvjS^z+tU0Ii(+RKP>4OwL^nxEN7V3S(-uC)G7j;eH&K_v%PhMqGs_ z-C!(hR9y4nheH_-{6}0f!AC>Zn5Xzn;ITk!$&eXMu3^ahbZ7_WIQ<`@-dg$U$xsH^ zYcGUy5bj+N%5Ztv!@*c4o0_vwb(-&#Vn!#{;p=z<#T-as1)Mp!YF=U}D3`A^XeUqS zcILSuH;xM!sC62o655IV_^WL1!8N~XU?h4nNU`1u^!E$Y&@~5jM{)n7PK(+IWp-nr zj`i`CnA0*{YCIRpMS(6Xt{opxMrC6Iqn}IreT7U>@vOEnR7jco$`UNJccY?e&P-+H z-{haa>@FeyO~vfPwHktVQsb1iCtrA_0dZ^4r7^Xm0>(wXHlzl>zA>N!G>48G2pDj! z>?5$}9gFi9%%RGf^<=;*T<*cZKLD9EW;ha*~Ue^f9oRfd^yV82Y zy#_@%>2sy2RHMgpEiAh4bw)ZRlv5(x3*3Ds;5uE2pYm^Y{;fE|wAaIbz2?swCiRz1 z)2Ob_BhL5T>}qVT9C9lU{DEWg$Uu0Qhi?qbqtvAv*avx~%&tEe$}sM153W%mBMGnC z%TU{YhGaSnfz>SVxE7eAlAba!>w&&&b*QQeIAnbYFS520pa;BhB-AYcFRB==#_tQ< zg-Y3?9rW%;Xvb@h23&I(oE_>Wq}oENqe}vPYfshQ+%NDvql+0D14eOY@21tdLv`ED zxn@@O=!Q_v;VTh7SfZ=pDOFwc*)i{^6GNQ>|JEHCFv<9{u=urE;Boq!tXrgk zo}*M_`ru*tE})!FJ1(NSF2nS`7)oEDh5Z{~hZ^?;#a~FjgQI`)>jU9BR-XQQIby<|f{ZMX-9ULFZ`O#2@ZAh_0UF4dnohp~ktb@M? zxU~+*BW{$~Z1Z8nloypo9~{cfXo~R<&r7j}@P36x-}!i8x+JJa)^Yc$fU|9rBZoBK zRM9psI+%AHO;cZ|Sr_`h`W6qQ=&We|2DV8v zVzNgEsk(w{C0nSJ%O)E6Bs) zQ!~8iP;^qR^|2A!PD7Zky>oNLbQaJ&{4TBZyJ>dz)=??WqZ?(XfV@Y(eLC?XP4JXW zM>Qv-hs|st0}Za}q&k}V1J#yXdy&S>%>ep` z6C#JF66~kFhHbRjRh6Rs*9MlRV#oXV-Xn~bH=Hz-0ppxptI?uzZH{6s(5M0>3U+d+ z-n+Sm^vhraC*MIg^&MplfF*i!hLs#I-7M1BnH#cX5UNf)jQYJ7eKBL^K{iP4I7soxOZk7PSsE1}&hLfQ9S!_|>f59Z*@dtsfKp7-%`XV&({#aW6@Q96f( zn!^rtszCES0jgJK@9vaZ{BDY#0^o;pZb$i@Ow}-H#UICLb@vLi)&@-7^{9*{EgIw0 z=%f2#mGNU-qk)Tfml;3Ybu!;S&O&)<+@8FuKB z9?m&ECRFX-fZ{Gwt@~1JKhF(p;=+jm*V-15!W8v3)vSyL_orB$6hPJ9l5=<8C`DJa z+ZS+~vsc_tM;zZ2C}9@3;kGn)n3oNq z=+$pyCwpkl+SP&Tpnx&t)|yZz50C9Gho`t2J2~aOr(;WuMh(&S=Fx%CLjg0P9dX(W zuKllZ4Q88;;0gEb+fy83@HSxooVZsqn+iP+cU=ryq**rRZlrKBykC!Yy1X)_MLNuV z>N2Am2Hl+z$ZSV@qg&;a45V*_#qM0CRE)k+us@ zWyxTDD0l1p<9$P!3hePM#S)^$4a~pM=@~lI-xm0*jog?84t_Xb6D~k~X1sETQm8_8 zk+i+m)G#CTV=7eKk720(I52=EF0V9@%uR5^C5R^dxAngT%1pCEu^-reVW1Cp*FGL- zoD*=Za^0sWo*gLPt-2)C)V5v54HUTbnSh=6FVSLC!%m|oFZW;fjM`z{y;44r+t7RNFxl8QE7?T@b45EoHEAlHb-ph{4zpO1)Ko(QK=oMUP%Upr_)aahFb#T&jq?)2$+AbLD8KV!Q%Rdxba9p zuek?LhmUgOc&>d5fRkk{i^i0FO4NCGbbRGQTze{@3DSCRMdmB1hH-Dh1i#MzHfgzI z@);;i105RDR0r1veO0&2u=?ZgO>t_keSfI!M+A%tZAX1p^Yf;M_>qk%O>hKLOa7F8 zq`mJw7HaK20jK)LuNLU%9ojazG*HJXyVyQ@BGmYo0^2dZTdA{t&MOCmY9TFWK*ni? zG=Bpk^Ys1!?eKtyIgCu5O3qO$yR+4(Kc1rb%FFA6EnaCHUDNVs{HW9Bl9DE4`Q;wG zs^Cx$?%vNkX8e4`k2W^}3TmfN+UL0qpK(GGuJ{c9ivcYKXh8eZuRg$W(IOaD+o z+?Z}>_vK@&A@3Oy7GP}WxIhmk&S=L!s>$W;T@uHdKZ~ zL#@JYv=0vG()-3d5Xj0IvBB-zcNK}-`EJYe|2SGhJjMeR%47t)IcX;4Xhi$lG=U&Kl1v&exB++dH%d}E3T*QK zTQbvW;Ly#i+$b^NokMc% zb&Sz=L_49^HjWQmvOXZk%Q`G9Dfx8>z}5dn1mH4TwJww!S4OaDfSwxNFGum*%v}t( z!Ttrs!;oJRl@L#D*FX!U>3p5yZWQ5enex04N(qjz5jSBYUWKu*!QxXe55=OR*_{ss zY=Sws2CVF>o6rbnEcShsOWi#Kj<;rk)%>rsN)Li4Cxy_X2Jm!tRA4ij`1VzqYjVx3 z=f;(x+`rJJy}IYl&qwH=fA)Wdfe`v^Wbkov8MHyHsg-D=0ct;TN1Dv z3ZQu}6ipZ-fPaYqn(+SjX-t!Ld~935Q-?l9{hSF;jt@0QUoD?#;D7&+|84NU+n)?L z2QwS3wlPIBOt&G0F+w?%@yOYB*}({RJs+gKf2ak1z}b5nEiRHqPfMVTMwj`~F`>Rj z?FaVwhe9<7RCt<(lN#d;>ydPy?(!Xsf>Sb?c;1C6PWK6n`O(Rv0mnBv>DcX8I&^Vr zD8rPR8q;#u7v;+Dzxm(x`$0I);jj+`v&(MIm`6*uw2`WwWys0es*9_B=hQ}0aN;1{c;N6TE5k7(m5wo z*8#1C1RbL7M~*@U8tq`ESI`Hivw-W^+VMYFvO@z5t?NuGhz`&q71D{(`;wi#%X00X zBg+xy#ssM;HJ#`yV`SV+pij7lnS<4R+evW_uH$>SE3?rTXJa#z^;Ow93$^Lczyz(U z!QC0EH#Y$Ann!T5bxT0kesD;r%TWP$C0p@6>|EG4;A~>hBQ*IC64YGtOF+G!MQ(^0wR zI->bLTGkF-O@?*O4`o#RwR1vgg0u|FyULt?y#~WvhAuu0wYRey9du^sQM5LpcQ+5; z85q)zuVRO;N4_O9gcf}qhMC;w1|e1Sh-@LG>4d_=>vh#8bzQ64E<6cQ=2AM`-V#tqU}fZ*>*d5VCHM zTm3x2!r^JWAva9A)$&(2rP#kdpcT-l>J_-@&vpAU%QD4a;Lx4`w zM3!HGiQV%84ih(Fm9@{>m$IJ;BjZry?&Y~Fco_R)gr#unI| z{(&JWdx~EGs~wWNf2RAZDMbb93_$j7!;pT^xoqB{JG;eog0#x$LMvTa)}ouwV079e z+Wd-xj>C)wI_uT^YguQi%C))StnDBK>J-IuHRc%uMsx#@sv3PFly+`@hfgxSPIifSP9;#B-l;E1jdO16GrqrUnO{~RqWneA8>;jKo zy|IxdeP&9Z(LZ%is>7F(tiNw4mmeGS)s-~CMBE~oBU5xd`owXeUfRfAdP?W4fO_E0 z#8MXw=>M#*(7%X5_KcMB6?z)zy21bO2k5uwKO8koLtIq7AI!Dp@qy8|0@WrSLEC@c z2k46@gZ&%A$ptv+u>_Ovg)*+v`~lSWfgb`_1ax}qH$&YP`2Xbt^w>WaGE|20A$Zis z6OYdALr3}YJBHHKAr;+7hth99o*V8ca7Y+pmR`Oj;BK~6p9^Ko(q#mr0e$pY z4^++3FDa=sT0N|pQN;g~-eZpIADzcF*j~e8YM<*En1JufQea7k@7jM}>YgLk;owtUr(Mtf9H>*`SD zlTg+QOTGS%fX2g*VeLi5*J4Fo7*Pt1Efg7^$|p=N3?(}qt;)2NyEBFuV-LCz+MF?U z`JZv105)5x8Y-ScY099n7~qhu3R*=JqA;}45? zP!*RS-LO!nlT7vxtb~6~LhKdCA+5%f0Z(fEF)Z%kC$<^IP1mVE%H0P7#r@rhyNuIQ z#lwHh-NRj|`>41*-l^~A$5L!Q9&mzMj;cp3Rz4A!QAtyCOgWspAjKwctMkZg7H|}I z4(61{j^oT`^y%E~GuY@Pcz9mprW8jwMSZH~5rMkrYf*uUaR%*P(RgRTREGWF_zwF1 z-!gm}Y8ui*ZTZ{>LpA83&iGt`F`r>O#$zQssKNVJE)SRjHU4O*{@#J+Qvv-j)27`< z_7S?@rLd{W---d_TiK68HGUbv511Bgr$Rl3%IQ&oRmTR(NfHl*a_!FbGH2!PcQJ@> zp2FaH9yuT|k7&0b+8XcOiT8F8Z3}Mb`@Av>wRlqC;|~X#1ZK<`b1E~fQtZDc;HF)Z z(hoW{#qwP|{JPe61LYW%BcQ1LW=x+8*FRYqs`hk156WXdjh}W}JTd`bd)fDN3q_3O z>yHE~8vQ!WFN5&fPeZG|M&Bmu zxyB&um#JE4QyGb2aoJ|HFV_&VCooLubQ?b(FeBi=&xSJg>g>d?!kVt5r!{>xcWYk^ zm^IWz+ZP$9%jRhGet@zXA?Pqpn~XB~N+{!Ni*(cF6VbYNQQRB2JK%g!^Y3hS_;qgF z8}Ot7-7-68_nus9JO{iGD1lHE#1M$)+5~0e@+K)RR@_A$Pd^#h5omra;Bgn5k)=7B zM(#$aXdjX7gS1vNa_S@PKr)T_z}r%S7PseGNeP1YjxK#!Oh0;=epGS-FXlP;(pU&M zS96uoJq<$|<9w#OXQ)1!{e3jM%3oQns?hQEv}090V1TZFaHz`0&<-QaMs{AO_Oo*X z?hw?-yg5zL6bhXa4Zs{aH2-*@dH{GZ;9873RK4g>UU7QJ>b^!=2GwO-I!}by13Tcki|tX;zjyk4=wJ_ z0$M#&4mJy5sk9 z4KenqcsWI%ir2@1vXB0#P(5VXZv@P|n4S~Lu-9_!jS#qm?Lu=Cw(CooWHNy5b|zho zJ~gdV(>E}2hDq9v&Gea8(UBGkvhsP0>Wm)X0DP$&OyPdiRPn#P9ZF3(e>zDYwoW00X*k7 zn)`Hn!z_QzFVB`L)Yvt}{%!#O>p1wOSt!HhKS2s6nN&2Zfug&c?M&KclEiYr<=p*q zZ8fzrDboS>_i5^ss{M?ge`OYU*rx6hO2IE48tSr>0>cvmEi`*t0S5&P9r)qc>B%Wx zp|<~WsO}K~zYs7*?;TtZNAK@LeOyW@r$`S|G|jY3WscS7AVJ7qV1j=KUosWKR7nm`g;W$YXbv>;@YwP z^CF|r6lX_2r-?kebieV@+<@(^^-yT+Z|)RuQLp=XD2CMYt_nCUaN69!RCRCS?iGQ- z)_^{UA^x&t4-;JzZo{VjF@e8@Yi)R{xf#C@O2eohVL#V8{%81S517#dTvGcfD*x9H z2PQCaBg%go#&W9i!@5Nj-Q@rN`$KI<+uI)qvE;`=gu9}S@E9=ByXeJrqHpMaXZ@OY?}>^z=p@N{8)V1gExy)vkB^Pzz2wL1RO zeN!yUV(6~i^|UQ>Y`SRd{B7JoSzUlyydjhe(q#z(#;!v}i@yeUJL=@~p)@EiOE^D& z746hjdufTWF8DgUqa-DL^xtd_r2(kmhLd17CpZM!Hhr$e%W`*if549Tz`9V5Wo4}w z-Edx3GToWfw7(K45tc7;7ZoTAC|JF%HwJE^YOih!%p>U%+I=8Yag_Gs+5rHKXLBt_@EKI1ntJ8fyGb zie~`0gB9lWf*pbBF9-Avhi8QvYhFJV%2>TIP$w`YWHIJHv}+jJDaUaPhpRNbcagDUQ0yHBpU&J-l`;t(G;1o~wnG`iG zD$VOCjXO%Ue+x_CDzoNLEODE*M`3m*pAUJ zEBKfy4V1pc6no_XTFwnT%W;fij+c7b1@yA%S9$JQs0)Cv0e1z4dk4mMLp{YcRC#(2 z*S-!#A9Pdp^4A5*&~Zm@T(Dc9^P_-9aQZ?hgHulM9Z6oJFW6!AcwW^U(ktGeS4^vb zW5vQAq0AaG2k2xh^~(JMO&DfJEQ_(%Q=|zE-%IbA(R&Q0mqqFpk9;H0M8h2Dd-D`g zl?EEoK@Uob5ic?;yMIL}_e~-@IU&|x(eLMTz=Z7jC zn||K?1@6+P-xkK`T*x&fct1VaBp6QtINR%nusH##r zS*GoKj8r)X?WR0ZQc&n%PTiD3$(h(c*Zjco^5E6^Qm*M=dAx_&>P8`S62^3w0lZhp zD^Cn{F>=$%YCak2cTui?Wv_tGB^&boQ0j|*b~!{5F%Hli=U`=0jnP-;GxXjmd=Hs7 zFwMF><>c2dq-Zw1R$#y@>pUkr=gtn*dm>OGq}l^|z>JF5sG2Ehjg_IwOn4M(a$Z1p z!3elj^TWF(@=n|I^c{O<1OAs+Ua}AWh6I;4T-KhW_(H(^x;FJQV%>q`Zn60b|Ba#2 z$x4s9l(_u5P@|gxnB#h=rmB2r4*`@}Agb4*ZEcj_KtLUi_rFLH4k=_OY#mT zSA(66PX?CPfE=<+`*ooD=ju4p+H`-w@o0HT=tL~0ql=rF-?A?B(cEY-I8--4!6p~} z2XJGuD>ty{We3llp&AIjcqnMBc`Zi9^kWw>jB=wr2L-Phv%pTP1IqkQs!$`@1WR-r zjHWDaT07&Y+?cyCFhnh0RlfA(ooL_|8fd`adgN6&XbOK~$5_j^UtHKAsxg~L<*tWdQhxch-X|L}mS z+=f6xbxz1;ri2GF<==y$faXyjafR3{XNw>}qm?)yS|5teM`lA8AF0kx{ z@4tm>I4qs@0fTHUICLk@iBoeoau}I4+}8PgZnTaIEMoNx3Fwl%vZNqy@zJl#Bb_G# zdKp8yL0KHX4Qe4U*gx$9L#{9fVTmmyd<=G+1XvyJD*RoWL0EoYzl8053np4Wytg z_Pov4QCoe&DQaup!-i`@8O8B?xLr72gX4buW_nX7S8gZpS=XRTzm%~xSp4x_d4wM7 zV$L7IY`-@q*M{oD=e7Mnh2FR3 z1D$UM+?D47#T^%>*rywO|IvVx(FPnhuF{|f7;x!47|L;f<$A7tD$qtKu9g4zl28sE z4Z48~6s8H8CSKwy?c8W01w+s3eL1!bP(t2{o+(wN+d@B`{bM*nv;z+|LJ)EqG?Yq%4lO@oz-Z+jQSjP{17T7QF*rkEjt_qZS-ZfB{ z2g+pcVyG_$Oj;?9=9MXSekCyb9(SJzto=ct`aZ=ULR|s%OM%%&bPUePci*{~BG0mJWL9xv#cG1aYO{^FQYPSU1k8nc+ zg%S=?LXT~G9^2$M+*+Mb?ehYCRIf1~Xrg+JcLf}*UqST@K3dv8`s)Lp z$kM?!87N!aH&o}6fKJJhJ{iYjpZS8>p1wUC9Jk8SX!r>K@TEM)%>X1-w{m_4LveKj)%jwlEYM?{! zfedcNY2L~;-d3cFEjEF0g0?qMvuzs#Ell4G)7NA0(vZDt7|MyU!YejneXf{T`Hv|2^G9&^@PLQ$)tAihc+3r2blM&PmHOqqLY4hiaJz{r zdv^5jlc9>)+=oXV4QxhZ`;45P61fVUY@?#OF162wvK<@YONAzy{N;%WZh$D(>|*`{ z{WH?L^$R?VfpY6xF+s>^0u$fZEzr6rplNvtOVdZWCP>xv(c2FQrAisC_?;z{(oZb5 zMCofS4#~s4;{$rWzSs5c6Jc>3Jgy|0G}&kjPk$4h zs$mM*kH!7Lxjb@a!1$!&)@aIe=Ld{1pZs_z^-5E)VN;63vjb)PfV+d80%oq*_vLQ$ z>RhYn@q_&WSD`umcEH23{9>Fve(s4}GdwYX&khN0^WCDxewAz3`ymSF_a;23LNC&( zc?0+S6*z7##NbCf_d=jp^yi@v!2fb$Kmq(20{ACS2EK&?Z`>BR`W=DVT)+*3)14{8 z@mCSb;x2&}wtb9xzf70BY!+BR(Q8#e=e`&3<3*? zr*T@qZ@4Y5@fmu4iw}a_oQRbkimCS-T6!LHNKl7V?|<@%6m?DCY;c3_(myYt(@~ob z)%a$hoB;e-D4h=Ht1r=ynwWn*58c)3=oCk&qq~V-T+dxPSc#N>I+WY*JqB}n5jXY? zOwfqVX9DK`>9fAFF2xaj&~c%OZj8{4UG0dMhcdD=LQ9sXbNy#iG|@&cqj6=5)%SSh z`vB@wzalWcDNqs@87sLU9}=p`h|{2wCtzCs{Qf|jYLs;=hJ zVj0SB%w4k`40QjPAGJlJ8$xxz5$L0TTPc=0?-I&bTA#7(fmvWp6=)$3C37o%+T4^K z^xuC^1GTY^TOKzxI4ajR9~&@KGD1*QKTsBY&kNN>D4nAN9)H+cA4-?qtZ_%(1%y)3 znOaC@Ovf?#W=Ne^Djs@@kzOPI9TdFt;O!&AZ2|mrs_xwPhb!4EiPe9vLJp{#bZis3io)(oX z=}to^`iz5IshYKdr`4t0K)rospLZA(Ggf6^Fx2k98K5(A-0|m8?;dLF9L%$o@>rQ;dpyPB97XE#d(`=_W`Q50=sK>=4~1HMI8f~z7@+s-80l)e zbB&63-xHWtf!aZV(J6uPn!v)+a5sHtie+IAN z9UPd@{F;nFz7+%H^kV@XTwTQ1PUG4bK%h?2m(xtgdvJs9>?r9Z-4tJ49B1ld*lCQ+ zGsH`vjDFeuL_h=TblnYaUHYnXCcigUJ3mD?ye;R>{Jfd^i|6FI@YwGnSH zxH^wt{2bIZf$rr{4z3$QwbA=Bg?~2G@`BM5SEktbUcl3x+E0Y)GuFBd#gD$fWeSf$ z)@l3M)=-9;-nM*O7HKp_*YYqHY1v$t0T+EOxI+n}v zcf!zXNUD2lDEBHD#Mjqz=v~Ap{C9_5mzWk2t*Q4quD4OO=7|AU6cJhw^RxCquck>Yf#o zul4lxs$50Uv99qS8tL{d)Ce2#pQ=EOzHbC$D_yd-IpAlV+?)0$FLw^{!zCZYx|lV& z>T&*e3;%)M_df-Nwr@tWi=jnD4H8v1aqVUR&G8&-osR1H6#IyFMq@gA1_touUm%pt zHjwHXb8|x8;g!{8fjZs5u=R3#%lAKMuYBV~k`Gs(&vSm{zy)N3!403Isb%4RcOF?y z@#KItozdvB0Oi}38t9AU1G0@?EUElYkEc!XMTv{=GIMC*8(^CVjdSLkOfJp;>%f+v<>#e&| z<7~V3NFHhOqr;;D^}PaP*s0rd)A^xXe4fmQdRti7ECIv9?$&WaKH8q=$`C^X*DUoY zW4>cWaS4wwe)M+=IBMK$e}il5FAe;Iiv!bN37D1RUWG1#`gPd!mK>X>QY;5VVySmW zWG)YAhMO;>=xn=#WVFDp4Cs<5Mpp)Y3l{4^EzUyqVPahu0$b8S%^bUB`!g_SfFX08 zxOIFet%ZK^_{tPjE@Nc&C_iyFp)Ri0PpFIg2sU684Bx$ue1G4@ToB52rW(~KOPA+` zGWE){E6r~o&{W5n*3$18o7=$vG<;V;udg->)kPyFlYmY5_9#^4kJ4Ql2&(#YKvUp5 znlRh*s^qS7E2EOd=--;VV>-m<8w0bG0yW-YCYzgW^mDG^9WFa*s#JmUj%Rbj7dh)) zP46+!qw%FszO77Y??} zZc|aX1vIfnT|9uoJunATm%-Np6?HKr@0_HvF0kF%i8HwxJn#(8HB{)Qc!DK%&3nD8 zt~o4f$48rU!|BKf7SG=qFiPj7Ro!UsoNLt}FgpZl-+=OHt>hZ-7@>9kn>k9pXuS`k zGu9Kbi%xps1(_5Q#b8r?&_ z-6I3TTc8l~yWbc1Z}i5JQ_inyw9H;qy+^;0Yd{I!U2`0RLGtZ$phO&(g4jfqa&b7CkUxKMxg(B%YHtDdM zs^T#|pJE5ST1ns1N`2tTP}lDn*cmnRFl)W*AKadz>oZP$J&UG6C3oW;dR0ad%^>+4 zv9t^bE7l(4yy#4i123&^shVuN9TR#-aUwIQ= zwNK>+|6!n3KgU?Tb#5`mt3Dj4VK+=YsLetxpa(tu2!5}zD&Xb>7o}8c;~OWS5p6WW z{b23Qp**t3B!p^@6o=@>p=ilW1)*)8x~pysFiY;RGzUoAWQv=M-l~9sZUa#Zu+wkg z)vgLva=d8UpdF}vF;IL$Re-MHrn+h&R0mtKJg;zhWq?(2;o7W?;swFeE^~;I(}r$z zFgGP;M3;0~djXBuaA3fbu>J;(Fiig+zRM#^UCo6}yPDeBr%SeO4V2D~cvN5y2=b7c zIjn%8CJ$cez`93Zog6Ya)PQu=B(ul~f z4?@j4fesorf{8{*hy1(&jrNnF9z|n~8EHjL5*tw~-QS(iwH80>d3|O4fNSneoAAGb zQ@DF_U@IC?{~*P40!CQ;H`mLYWcqI^Tn!C#sGPf>hm|zUt|3*Qvv2izM+?7BH{K0u z<^Ywc0@70E{^$aRTkSM#vl+v)a#O&$P=lZUr`rP9u@$vC@Q#4d{i+HzS`*m*@xV$Y zNV9hMa(-E7`=722We}mr4U^`g==^1&Ml{Cdkm2Q_`qu?q-00pw5vi)Iu3it0NzpZo zm(@Sir%d)}mM7U6m--`uFvA)T!;LC`|8MQ-p?1W%qe9h@TMbPd9}RUpfT67|iSdu& z^Yq!k@@L*kf)w>DRXZ`1dH+p#wWk7@h4NdWZZb0=%pG{9d^J9uyT;N?&eeCU(FcE? zPlKH(o0QjLj0UrS>x0W@?e^8(r*p$eh+Ax281Z92W@9wbwN3PZ<-EhjV-#ur^$7mk zj|X&<8>#?|xEn(|mKzAFi)OoI<&4EX=<0*+k6TVDM8B5LM0*IdXgjMXTdmm4xxufUbFJ_BFlF8*Wh zKy^11e0Kk(-i>{~hul=^l6tT?#p17B7|O-se*!mdSyBtbMYgj4mE6$#G8p2vzS%6- z?m8);`Koq@LU^kfNemIT=`%0x2$+!bdkC-W2p@)W`LX+rP$T3vd;~yvhAgJ@q29Ki z_+>1}1Tp$~o02qzJ{KPof!00+JQQ%EV-)AN*QGeRI#8A$34j^r?_JDuUksS5rpnLV zmf~O`pc~(#a~8MasZh$Y{`F8!P&Mnr=Xm&zz*k-f^y#opd3GS*3y|-(k?%`b8oh$W zvqITPw9lGS`$roInl!IRVYp~QKkvZF-RRimgou4Y8HjHm7OKu8`fzh6Q@nv9Z*!ik z8&#=c59gYJ-w86R@o$5J0LxdyWxY-Fbs=qX)eZyEMHcVU29FB4WUufB_wfkTum;=hE^zmm z{H++y0tU`?=}zC6;uLNFl@A48!mAn{8rTkFO?0r5KRq?Y@jC;{v2YU&4Tv{R=V6$= z6+Tz+d4a~b^T4BMjjEXjVfs(M#oY<8N1!YZ*m3AWkI{SXMMkUk3Uo0U(+>t5_}pgX z`fu5Ya6WgLF1glgZnCRTT{@U+y?t2cl*cLe;(8w56mY@UnX5DKHxaj4qQiYdwXh(g zOQ7x#Xis0E54wTwHM(DSzko}5<0Vm)ZJ@uB8{4no;hO?(m*4gU9=_X(10B@|&2jkjXqtWL zc^-z_ABS>XWB83wLnJ*wv_DhQh_+;CtPQ1T*K|U;!q#PcGrGE9NBmTZuE(E!c_@ct z`8>KZ#l{nXk`sM>sQv{3!|$e5=!1;l&=A%QVUCe8ZHbI9@bTKIxzV}>pput2ppFMn z0lU5F9ESOvz_=Bn^+N9Iy*fM@2HF{xpyDeU^lk%X|8@k$4A-fp%cGh!otWN5xnZ*$ zosC$RWkss1_o}nl;g=_L=eb#+UIj|*nm$+`1bVQ&u{q#-=i#n=_87Pk)z|``HFzz! zYc}q7G~3a|Od=0>9bB7hB|!z%bF9$F=n!~dlVR)WleuflFF?|IzMC*w`pQmyUG!ds z5^4lx@tTy%mY5#he$LT=UfbIeaIyHM%R=oqF0kRFT%$tzyQ-tUz&p?32LJY!<9?bc zE(f(W(q(&CuCEv&>4}nA8OlWlCv1JB;4pT|exbJUHYHs`CG;c1xC`{71uW~=0gp~> zq4zU>Zw}tu!2ZqLrT^+`l#c?@m>#A;ebL`=&Bi?V3R@@FwDNx+tK#yvJ8l}(z?S<7 zu{8{QZTP$&44c_?`S}w2M=0jQxxT;V$P`_IbroPcFH$m|>7-IOv@gi0gL(KTwC!Kh zqF(-1I7I)&NulZ=4ycK1XQ9?$1^o0;qY70fEAI?tAh~u1)X9N51GBT8wK@(c>momI znnCC3P~~(J_}85Tob8y|HAX>xhtAp1cu;$jgPP}Z4W)h+r5^PI_45LLTTxr$^z{|A zM5|(Sf5*`&>OZgB4h8@2T_32?AAEd(^VW_nIg!V&|xE7WA~ zK= zE>40UA2FEpQCJU(g)aKi+tb8|aI1AJaXz zpgDRJe~2A&4ArA}2}|R&;MHxRN>U-Zaq5Qx6>8DSU-ABb^3G7pUZnP*_T5}-BYo$@ zF1(uZFh@li~zknPfaev$ctf-wHMQRKN|oP1Lq^QNUTpmP@${OH5L9#%J5~w9IjE z(M;FCLC#gO-#|Bp#|7M4YY1)w#pccdcZ$}qF9SvwN5t)?hN@7DHZpI~r<-)~(v!~* zWt_&9hA~~uqsOxJz(SNg zs0*irs^GKrTNsAY*>P)VQ`3Tn=Ng8=V4ax3PW&77bLe;j{^@ah^1n`{6UxC?bEAZ* z&>WY_JR-*J?Ja6Qu~yXHo!%aY)o0|iYwSV~a4h>MuQXI=%>3AODOS%0x(fk^4);J0 z4@l9)#KwV8{D3lY^m93+QR4zp&0 zUQ@ancFm@4g^695IHtXu;N%EB(8_Ov(karJotvfj*^>fpdif+gFf81vLb!T;#)mF}1G@bbo$U%Dbi2OIaS+|7v7 z$Kcg4c%~jSZwS>?i;+U@Yk`sW57(u+ccAQ4!4m$)y#a@v2I3jfO}ozpw1gf|rLWRL zMVB|OdRdZF(0?jm_^EYxs2=~;)pqiT0dcpI==e{0#8rT@;>rK2i52ar zh5@srItPWCtO}UqsRPuMFDGyVORHxbG%@I}eYAuW?{4C1?8rHekV`ADEc zvy4lbw`7QQGRn2)Hv`3OMF0A{+|P2D;9V`GXxPE!>JD%FE>f_SKY<6Xdblc6cZ6!($8*nf4gUQU{<&uJgC(W@D~9*7OK2AAJ0}IcM0FRb zZdC=G-Rb+31OHCvn%3g1P$R5pS>IY2>W3JQlGi*A@-Ntn(stl7WL+SKBu42-~%@JO>In+9=kK26v z=!@A73rL~N-k*ZHH!$2auzU_i_s$e6EOp7>Kv3EtZMFlSTXiRBwgcbCmqfNmFWZg+ z>nJ(S*fur7{HyBL+;u6y5pg!72(wr7Z@m`+x@u)E#P7``6a(U}MK`Wav7#Lstu`;e zo9EWhQ+&h&pzI%x=Mx_JcZkQ><^VpMm2DKvlpx(-druF6`cXauTeFQRj!?J(eYKho zlu0_$FPlm(3FZ04X0olmC&dApT|9*wLk;O~ng^qF7odL*Pi0yA_7uy1@UT{Nv{$If zF9mvE3-s>_bZ}UjcS9*7-r+8iioSm>56_@h0Y?u4Kc(V^2)7|EcWyL~4`tkY=6~=j z1ODUpeVb}Q@t65u^Y5J$YL$25hR$OD*igMo1LOSz^Hki^`(3RcaYLnXa5(s|6xE0h zD(WHMhJ5q@c0V!K8gz)pet{C_;zeaSoof6~J7gZKSG_x6EYfwq*Q_LJ(K;zm!-_iV zoz+8`yi|smR*L3$)s70)`LR?moyn+!>~opV?GLU1X#xtH93l z)S($aF!$lWSlysQn21{z2{o4VX`8;wS&TarcTqYb(^X0W*Kb2vqxAL!f3RnYU>?Yydax`>(@|-$kHP8l#Wo zl%kD{x~l_vMuz?rsBu=^{mqQ9#!sEym5ifZxwabsvyC|Dv}u+!6taDU4Xf}J^l}Z@ z`>-+d#?iUaX8^KTgL2Ww!y!hPFQYSiQt`!O0_IGNb`E8>pVh-=3t%HrzC$ZNz3=nP>bDpx#E5bH8UsQQM``eTd>%`R+C?L zoObol#rxUQTpRP;+JGmw*yD}dwP?O4Lh2;AZsqFIJd$?A8C)M~HKuR$ULNKh{))V^ zMNWqeIhJ&`YhW&Dp7_ZsR?HCU>2IPw6w`HG$3i{8;mUc&IsE)K=?ky_t2b~+pvZQfxs2RWF^wp8mZLbcMvk&Elo?9E{IM|Gkf6pC5#}k|A1W%(WOJ2?ukdhg4ojjv6Xbf4RLp{4JYsbEw)40q<%>{gvjD zqU#^ba1Dwb!nXJL&R==w4|fb1B{F{y`~vKCmmwc zM0($f#z}#)ig!?`+M2-1Qv(&uY2bME5O)o?(QvdD&Q$011%X%%HL z7M|8F3|JS(U%7jmB3sgzcOREWHtiQ^+{AxSQ+uNZ%8A%pvsSDj;`PYmDBP;?9q916%A$e;d%3bb8y}bLzrnwGJfn?q6t7>z z|6Uw$=qRd}Qt=O-V64#ZbnIS3_gh2fG|DOe=8sBo4$W~*q_z(fm2`&NIX;wD`L__` z1ikq!9PGpNNQ2(CFHJ7XwVVIrdHMll8FBxDKlX+>L|I(o1JypIR${t|&q=D*bd~06~)z{2D55?PzUivm&&JF0F zUV-~vD)gZEW{AR-TisvtOKOMa+R9mA1{1sT3cdFTG~a9Lff;WDG{O=4Rr-eu3VvJ1 zc;esCw*D;8WBxI%0@}_O-y2E`=hDZJerfiJn|25EP**NW^Z8{x>C`j)E{Kun#-TW04Nv>&fYbac6N1%Ulpu(=T zXt}cvSAG4d2G*i}9(U2Of2OXj4`u#_3y}t9hG*y6cC3KPZ#u^e=Cp1K*ayc8+`S>7 zFKR%o0XsdHvrO@j%pW2YXQbv->ZW`P%VqtH^*Pi05mmeO%z($)>0@fr2F+YE9yY^n z>`bjR{~pa?dg0qn2C%#6yzA9lq0z1U8&WX-@*k+x2xbp&4m6$%w04L35CEUwl4{F) z{k;ynca}OwHS}%Whheub6DMxyxoKZ!D3_sFCkQim-;}Y~u*N%qy?BJ8^N${CyO~F( zCkC`!I%vg3WMry;BA}1%J8H5M?R071IY|#iZ=cV##{(lqCKEp$VUMH3I;E%(Xw5!& zOej;IYcR+6DmN>%hIagi2YBScfJ3D!Wl!lKqYjPH<96P23Y>gt7am4CH>2`;!=8R& z{8XE>5|it3CI%Jj=cG7-<3^dv2bf{|^fQ5SB;Dnqbg?Il3mzz{OR{__TnTm3qQzYU zB}E1ma0OvZ|1N$`Z@K7LYWwNj^-M{yBSS4dBXp8U{j5EDE-;In|83BYrE29Tv01DU8)4Qm%XSzF!?os;z)$P>+e)ynWL9Gl7 z#!xt}9ePyZ-_4;MsQSBxYVQUd5HM#%6pMx- zM%V4@XhgY&rSV9dB1?of>;w!_zCkrAnC;K^NrHmjlN2WJI3|InmbYH6BaR-H-FPb6Q6~SLZsDVY%s}xv{|8x@fTqyqR}2KM@!p4`T}7{cI>tVl!L4c_nwz7h~b- z>5xI#mrq)uoDMtv-+q3I#`G69gwp->SZhty=(${T-_B|}-NRa+TX+tRuel-6M9~d? z*BJs0qfOv_8x@$UdNg5jOu%4uakpsO?=$XqM}aacuZ7au?sz(sM=d$S-Nsnvkf0VX zOF=!Dp$AjMxSG0br>2jqyC}^Zf|pkYw$@U$GHavuBmQ?Q|M3t;p;{Yo&x*1CH>kY> zcuC!miA&A@_E&S)P{dDcDnB(oEYQO!=s)WYy8fn7Exj94THVPbKMIt+o5zMSG3!_1 z%TH0bcTp=xdy`*(b*U4tqvFE@0_LVzgRRbbX|(3waCG7Q&AH|_6n6-^3B>43S!bu> zohAKS$-^BCPuT{AWL9y_h0-Rk+=fMRE;**J8Y|UrT8}B{BY+xKz$l&RU1c8-Dxj0# z_YzEU8lg=N+jT|*qe4ywx`@n)-RaMAW@&w zims$Wx^(tc18M`j5tG;k>qF`4p0jVL8k#sj1wQ-T`Rg#1u^;s)nHqW!LCs4u-|gzLgt@r_Lk#v3g6hn<-u!a7oC$ zpn5He%t?*?a>mQc#0i!(X!MAhy5_I(*aPD+RGVg@X1vV^OY(~{~hKWNPjfPd{arcUV zG1~V2q3jS9{Ik7I2L21x?V-hf4zn~Gb{=(L;M>TfL5Hw@c0WJEDeq_Nx!VqSOim5m zEp8rW&X~d+=3#`gx}fjs*Ze|??Pmgp7+hPF?LC_RFR8sb+kVwlrEZ{M4J=Y?J%C2E zWDYELmve^(>Ij=1UE&t^=2{oNs30?1q!fBcbrWrK| z*5GN0Xwn$nMww`KrIDCEBc}^^HGdfo>i;3`U85zf$~;dZh`_@EF+w5~K_D{ak|tib zi3|w5ff0amF+w6t6p}n32!a<75R^*>X%?i3A~!D$1sqZ?>0yxWT4jluUFBuEYjyW@ zPg`q5y4SQ#)l_#^t+JKs>9$!_j-2`be!Kb{##JBY+k80x_3Zb3&l`I`xBcvAU*571 z4PA4>Lo0K7#lfQieUqA+dcGBDm4Nk)k2^Q;=UHDa1F0w)Mq8<&P=gzoJX{C6K{mT4QTIWbajgZ+k=A|k(^cFk#p{BoqgR+t%S}u3{$is}6-x6=l zQk<&-_6x47_l%Eu_+r%J$9WuCTgfH-OIg~a+I~L8xvO{q^>dQntwK6ggM_Zm9A9j{ zc#Jig-ubuiszIOPO3#vJA$0LrTnA_CZ~(t`TvT$04ZhYc|W>9lXk&#UuU8 zWBkYYTw7H~S#nFR_2}7$uL-z#-RGJxrQHbkin*l<=t@sShh*$Js^&<}NU*{CN?!pd*Wj+#QVr)$YM%>bKza;brM;p# zr4RU6uDP|sYV>dA-&7T}#PCvE)eZMyyQGx@GhxXQKZ}q8w7SKn6Hd;L`+W=nABXkpuy`km~mS3w%0IM1hRTt{H|~(2^^3W2e4w1sXq{JUx|_TFMw>d9AIHb8gPm$@?XXbQ-v>NW$0?|e z+DG}1bGUY3zzO76{V&&y!wiIb{N$_dZsR|2$RlnT4p#J5^@jo`p*L&}RsI7%K3xnn zaSx40DLx)(5fzk=i7`T(TpBQP>*Be(bc<#84`TFl)V(TH>)}A3w=|UpuX3eMZ%3%f z6M^x&0zKTr?7o0OubZe1n3oA0y424Ow@%T8)_thTile6^6n*i@fGGiW*K}L`?p*Vw zj(QsFa9n`|v*OCaOsm9}@i$WQ*ZaOj4-%{u9tz1K6Wp&_v#iYmTD<=1 zC6sG=ZlFZ^^HAe}{fFZU6IP}`evOv&sj2%lnhT*kTcr9Z*HD_{Fqhh8fr_83T^n#x z-rld%PO<;lfH9%tk3U0)Jgc*bHTrdQO}Dd8iheyu_cg(UHo)Q%Y~K;eb!jy?WY)@j zryj|4`S)r0axGAU?ZeXoE}QXy0%zPE26gt!4W|qBwsSbBi_nrDuC%2)+#1TB(;mV| zec%5>?`P)@=Pj}O)7_2(`G9PhX32-LMD zluO6cIwX{bp?-Q1&aPb=Fm{p zLlkF$XO0Z?P77>1BCz&7feuZWZVrr23RG3V)!S2Sf4r6=POxkS$2*o4$vZ>2grfI; zuDvDTYXAN_LT$rQ%+npK-tYVtcZUHFHyyM>88vrtswElsFxL>&oo5Fe=qR#v$E7&w z2dYkBaABaeNbxa1C-Z11*FO*OFZ%X6Y&RRAyQyPBHDun!j&4QpwS_=+dtij~)tDTj zIFoLm?rCphWaN=$Wr@*2DPDttIkz~yCRFD$0Y`Fv*Uiq~9Yz&KXK*)qB9yCGJvO0v zV~RgV;mjjBmoQvPv34-mZVHs?sjqMi>35O-@Seb{<_FPJSM!xf|LGJ}+v#1QMp&(m z(ZilrmjpeGQk$@U{^n4>K}+0BI(&Vo4VciMqu#C81l(iSn1%Xz{`P32FJ;*l`tmb$ z{^Q+&Ly`IWjtwlmAyAV2jZnJ2y^wDS zvM{C(BGo4DVIEn!)}_&eLaGg9X~MY#+h0p@dSc+kO;DEyOm!-<)g2>~74JCud>%RM ziGVqjr*)CH@o&guhycv}yT0AEGw$~@0ROFp6N42NJH{>vmnV4vEOth5Im8}qm}rpI zfE#c9NT8zmhAB1M_6(1pFN;*8`QxfhiV0 zIW6E6&hna2u3(>N-ET{=d3s=9?6;hgdQ_;{Ah6@ifcCrLm{2Z-YazFCHpbbZ2FC@; z1oGjbDym`5T*-8hmgkjfZ?3xc^G^+ItGX)E!rnn{u zs`IIUV|!`Lq>HSiUsi1gIyY{6KBGjz_4jSvsp*R)Ju()pG%R zSk=ejjq?2%KWXIqKU1Oi9~sb53{Wn6rst{dx48QpRA~aH(Z3|n-W_oK>zYL;GKL6# z=PPX$^igZXUdqK%-8t{2bE4Trg9W?mzqMIJ0+J4~)Ti2jYK%Ocvji1R2T z5sDpj$jq_H>UGr58QB9+)*5Xyk>c?qJFMEVx#rN)m4)MzQ(V3}(1pb%(L)E>STVJi z`5_-Rc>3{qDfT`QsNET;cy2Y1xdjROp)^PD6|b+h0{q+D6@j1P6kMg!=LHJ1en%+N z+Y0JTe)1sNRw_iX%HQ8D|AzF%u6?gKv>>Qe< zc=)=&;H1FnAw=^>r)VP7eW~`VJy^H>0-hs!?P8`E@zR0DNi}Ae-z!fAjP)Eo7+pJr zD$(`Lxoa!;q<&xF$GdngGtp*FYWz@-m$oniN7gmElkqIjI5OZj^}anH>L>dJ`WFJ! z!1<`#KOSn;No)J=z4rVy69%qH9iwn&C5>6f`=+R_d6I;Yrsfc@xv$*eNZ-zy_WmOzZKECR z)lj6yj)407Q^F_@nW|xpohP`l6wpX!RAYR9z;T5$N%mz<-`YXS4IRL*)n{6M7Clpq z=GTW%)Ie4Ca|iYx^OxsZANOBjlGRNCQ?aWd@p>5R%A}>&hdPXw|CE+DXMrD~le5i% zF~2)}PoTn8wJIo?^Hz#f=+|ci+NTE&Jd11R2Fze=KNE^dmTzP22SvnVhI9ZEJ+IWY zF8g96W({0b@-%wpzW0HO^rjT6Hv^9by5|Rmj|ZIk*aF9OX~PAs!S?n?1Abs}a$cy- zSl-}3uAv}?uxrrlAM!DMm#w_ zU{G0K2xY)hgRyScb4q*wcfWxEYH+s;cby)nT@h*?7Q5u@nroo03=G- zjQtHPUISwfM(=-;zdgz~K~Pq+Ru%fvn4>rgz?(99x8Gk2+qcQ_IyYqdJ3^I>HCn(q zDLO&1jhDVK4pdvXh6N~q$uXhyB@KMZR^+kwhXMoSaq=|KK@_#a1Ji{-1)p1}x0S3 z+-q(E@hcZ{10}3|9jXcSwLsbNKvSD2ms35Sz-5kGEpa%askL_JkuKu?1+_A;`S?Sj zT%WUa1k~n0H4EH_f$c=JBWhZ$56tkkCid4M-}+Hpqqa@owCxy*|pUU;2M6-1^1p)x!1`l_P!ZV+|CerK&}(|>)?hX@Ww$r zf{$|HT}>bu+AQ0!cPupIpY1h z6OU)1&Z-9#?GjR*VF4iHG2i%bkJonLiUUzs~2W|()tLSE&VNk6WW zaUp^07@g74UANKaKC0YDmG#PHy|V7%DX#4ksP2OzGBTtyIZ*9N(G_$iwjMx>O>Esr zGwoRP2f8$~u$~Jsd`<4^9{v|PND~3B2^_DXhz>cSu$~Tb1YdfG1xy5VVB#X0)5SBm z4yCX9?8hUxg2T@aIOu=#g-{m!E;>nhJWivK+;sqx91Jt4%L3Jq) zKM^p);+eeKzOxG2{vCMR{&hTudo{K80Q}RU3{GCa$4*ch{lSnPtO@^Anpa@mE;Q%$ zPXH^2I3`%5vBeB#SH}ki z_@R=sTnHuG4LN_aBgG1iH}?#<`1-7mhcZ3e-4v>e6wI~Q1=emzQO`9}D4*xy-v|C6 z(Ekq9ccHF=LbJ`Imt&At#4}!zjN{8aRc|#L@w8R+`$Opo2hWAl&KtYAi`?7}XAVH+ z_dw-m5Z<34#=phv{}AE5{Eood&4I=YKx9`O8Q8ThFgYpECmb|GYBaL_^c3gtovy5| zjt%=F}d zr=RtaQR5pFw+3eC1@?R}U|eF~=mxOCCwTb5NZPJ1~~ohWdT>amRvnt`$PC=7V%eCLbU^he@}!uRo1~Zqh`Ib zDO)p!>TVZ?HNG5p5w&%iXtX<&L(tZ)P);|@!?1f{*gu6~ZYXm)X&F^Sdi2lFN*G(Xkhw$5)rK4P$);Ym)BGDA2`t?n=+ZV5&Q9$cqgU9%G1x+LZ|=?q zYA{R(Q0G6sdp$R>!PR*P$8T@4R!Fsjxpc7w)BYvt1jpUS?3yC`Eq_M}?6(?=p_-2cO2+ztP%W&sBeOMKe5bBd zU9*p$N7r14F{YLO>heJGlb;IJK)L)l=oGtL{B*!UL-VFk4#dXjm9qdpyN|nf1DK@i zRsI4FRcO-`sk+2`c^2vwMT^l*k=D;pr0!{f9_HsvaQW!dO3(h%{<$$eBQSbjV1n1H z-VY$MDRE-ssKAzU0-C9t#%tJW+3>L?lp{2|EVq92;qLegff0-~7WfI4{7ty4=`MGm zE(r7&0}WVg5^Ibq|CmUj0kd6g<7$iv9Nz-R4X110fP(iX0bfB0&-!MdjRlydavIh1 zKy{lXn7|b@J{}l-5;!s78KGq}^R?VXTElCgJ`>QXI*T`Kr)XAk`b;Q8_Aau#<% zLeIbXR;V#H-5&?+ zfB$hSlpoI>PC_~8AFqh^`w#OR9rJ%cs_WknXd~LmDDZM4U^>Qio0ASVE(|y{nl6Uw zJO;cj@b?`CIeauXPPsTRKrQ?V^Z$K*C_iUm_wMjv{PkRGYz_QZbfdNqP&c}_hiZH@ zU=sR86l8o^!2RdbD?Z47?3w)Mq z*8`sq)bQ=iTLL?93NKt0FhT5Gmb1gp-j-|X+VlgVMt26rXx)!dIJ2DH>q4#ii0Ymc z8*dEM?uEjB2PXv9sF?SKGF~%48$F%k^Z`Jf+$WTw^TGQ2zMDgt zs@rgAC_h8;Gj;Na6z@JV@JDE88=Wi*2~G;7>fMf`Xw%m=jt;cwFpP$s2r5J5kK|f~ zMwmL-7qfTaySX_(`d)jGYpeDPpPeDMy$<4TpbKo>AJBwGuMbtn7Haw1qk$5-P_9CP z`#uwJ|C{|_bC%-l_X5-J0N(}V0j=~DbCb{u=$eOe5AZKmXoSdGh{rw4eb_GRy6~WZ zmANZrio%)1GNEDA=Tz;6b=<)G9IMUoX5)5K=sOU16RA42-#;XjvCmGbHlu->y-nDC zT8hr~j`{In6&S4#xJCGt{X?}*5A38?HSF9R&tJ`l(s56QT*JiO*lz$d#HO`mjo4v} zf^yy06w`HGm7VqK8QtSYa-&QC>)2(q5Xz6pJ00xG+wpn1_BRIxI#}N5ioive1gcE| z4b0fvvAyoPjcvJd*}YID#fmX~?kfK6R{jm2?ULp{$7gFt{Us>uXqVm_o|Zrz!*KNl|z@1 zj2fXz)h|e~0S_u$ekm07tB`qrS3n!A^XBHsfijZY%?*CCY-h#GuQ@Z|Ak(S%=Cvuh zig3XD%7P(kwe_Ju4OOY15@=L`{w&~e)dqa!po%kct&OTU*4Xm?P%2G}-oRsWhUm+9 zOThGweLxB6HsqSFzTFS?2DGGhVW6=XDC>A0<=XiH!?%)(KwnISwH88|2Ucku5wu}b z4OJPUDjgVBJ1FqLHBeUux_E{uOw{E%A7whrMTL!RxiMT(hB5;B5)Xfc8?edA>@H4q zf^NL)-auEkiGP{kJKc?7kNxXYQyd@#vqCRD8L9@0JFvJr3;6k%*TUyb2;PXhU4E6_{Y5)ga(JlM|K>tGcaRv#&LrZa$pi@N6E2?Jh^S5w>rI z?c)`;mmnIpyJTc_snmAZ?y(}(0(Wl*@I(EN2D+H3D;p*Vz;UtyFazXDwz5j<>f9|` ze^I?{NaiIZV+Yy)L?~rsFS#nC>QlKf!H7MZwDgEKruYxBW!9^o0EiEXc<}}w?1-PO<61>w=(#-kh@50b&OL+ zl_zrzktr=Z79*K5$Xt=u7->y07sHulf*22xC_|acxq+bm;-J7Xf@*$-YY6I96Y!T( z{5*i5%&wNP>8%tI)bfg;jEi-&;}u7%ZIzTfW>u!PFsp%Pr3C-q!du3lDmE6wWl2$?C>Jie^_`Q>5G~o-4r)?t1+0K>e72&cn(3;sg<+-?FOj$8)%X z!4ZMeXMxALJLBKlSaUvkPydYSs@{J|SYaaB z4%`6TZ8F2ddCU0$H!cr97HY^386I^}3x`JLV~w=>xJaiPN{~f$J6{HN0r17uJDb*p zs@70^YhbuOFtb8$3pIXAz=XlN`B1tvvjL`AoFVUF5JPx1JTBn0iQHH|K1FjV_6A+5 z+ubu@&*{PmzY%l~iaAmzZwvKRDqcGw@H47woH)EMl(Qoy_RS41-JEN)Lj%(%11=(8 z4pCAiLz?C3XFBe!)V|D(wL&%N2N&q*^~Fw$eSs#Ze>)br@mRnlkw&}&`!yG|o_08{ zcmhK-XRei*RNQ`Wt}Q+lXx=eXC}zdYidM zUGA9$7EcKni~brTzQbD4znyeupbZmW9tS2{0%nEITB+$3om^9Q%Mz5WDLP5$a!-!| zcH%+zHGz}8O@YCsz-I$)Flb#B$|XTF6l8>#>d+3u!OrJGwa^k1wa)xZ;CLI4^aXnR zBT$fMQIOs6-l6$sTIm+j7K(loieAzpG{%XW&M~1(Z1u3bi@zQy6D^l;0~OHn>>Hi< z*C{xOIpfC{(a!hs<0taF_<-xs8@FMerfI92;L~|H?vTEgzVHpANd}D$}b~OXFawc ztv;QmtCW>i9ch`X*XYbLRmeldY#;z9n%8a(wE^C{(nSBagr)oxW{4#WBryoaas&CoLv7=h_W;i`7%59z8O}r}5Mk%^KkoZ=qSwzbD|RF-c9}MVt40}A%z$GJ{VQy4gfC+#WJE!?K$YUK+7<~j7 z1-{w|wAErn(OL|22`kKxPaX|5Ml#C?MR{yk@h{8GT+_9fb@_AD+wT1Z+=$}<7qQJ< znW9;PvZLjCo_iv&>a+XTrP#$Yv|#aS@=-so#aA$Pcz-}XyO62|cO946ml-6q56!j3 z6=OH>Hz#=d#ko=Pf7G=3*?=3wUHfae@50%a=5k{?3mkD;Kx5j7coce{7U0SJ~>(aV3Q1x*go>7|1 z#s2$B1Ap;U9%)g(8qAR|ru2+EJ)U9?mQ>Vq?vQ|apCyVt!f7W|hZa$W=7WL3Yq@c5 zz!f-k%)Xo;bxbJTVe3&Sm}rNqcua9MaZqj4+x@>=j--eJyR@WaP0>V;F{{BBlTJQd z*IylxYmL(aompVEF3?&Z@Ql#E#0={1w7T2Mvu7do*ZKZyZoEJ=p2Q!`>%`+LNDbpb_?JHD3QN-n=gjoJZF@D8+G< zk91IhDZlH8^ym!~@wNtmj$OuhGqbh5uZ8lOhX$3LIm}TWhGmZZ4E)#gmNFcsR%XD< zE_Q2Ah0G5v(u5{eTf|eVyIPdBH%L7g+p6-nM`IRn0l!}cIsj?uxQ)I4u13Ft=G# zWH@Q{|Yhir8%=(xl6}aW+U-KYE#Kw)2o#^NWBW0__MnLV;ofTdx6d!0bAZbHI(624?Q(q zsf?xD^U*GK?}&>$vt!w8)gaTaH&V z2@UG!!aKVOGYJ(Qsit#NGE{PjCKwt0;Gs}`6scAPnrj0U#_B8AqZSO&SY_iu-2H5zQbxCh zsuP3QL+E2WbdY6qj3pb0^zIGSr_s(6_YulySHNDQcXOzJcxa%vJ@A?f0u!V#K+XL2 zk4qkEFxwQD!|>I0pk)ZPn}>N-8~zo^oD!<4bK{7>TA<=BOs8Yn%W(q#nlG_jXR-k3OF}0fJ3T) zahP*sE%dZbJ1%}Q;Qk}|@)P`80}j=!J<`972D*A|hQTiFA1Hg48R9u-?Q)ZnDW^s2 z(c%HkTEfFSYMbH{HCV?6OU)FWjA(x|l*hi;t_|h)!5Spv#t6Pl#?sl0s9G1x8)Adg z=K_vqO(G~1-K(MG(=_2w>f+vd$J0w^rf3(llUEI%3U~;I>&#u(S1|}4d?rv%TSfm` zq`X}#zPhr(50bcr^k(=xTH-(8vm+q?!{4p*zqV*}5YJKc{DZbehyKZp8Fd*P7SOt9 zcR#3stBiXs7vdewPvsA_${9R+`cc-rp^3{DR$y(M7$Qad_SSvV16ZN*yhnyU06PBV=_y=gjXd&Rp#?1TZV-z0*@D}ArcASSv_v^m~ zwJ9*XJn*Y)py0E@GuPL-G({sBcP;d;Pf<%5;_qGe<;udwis94_&W+{kxQjp?l{fAU zWdQDq6vsHV0CHis`pvl9=jPA8Hxl-5{vvS;BgX3Lz--N}Z!vojDV#5!=6?Kf=;tjc0(x0%zlahKE*odZ@ zn=|6>V_P-!Z*nTs&4C#{!tHf6q83w*HyEE{F6|=%6)O7kDo~av;3yW)ptv*8IXBQ9 z1a{5`2Hy&pP;*NB`ALdnG;D;fX`v1z{EUlTeivVa}%|=m5LiooKKxs=lxtHp)$<9H8%!SvX;NH2j=H^r0T3d zi&`CqfBrriJ48h*%y~fl%)Zr-mb1t%#dIl+`*F-(s*~rxK96`}!hb$2ROjJt zsBT$)rYx1gjV9X=Pnlo+J?uTnXYaUBX1jlB%VDSEMi&8o8y=LD=BcBc&P|_A{E`_nozcGN}v`*Q41DSXc6nNOb^9n%Hj{Bl5pBL}5VS zJPy8NkJ>|lJ~~;7aHF<1P!byYt9pv|oL9mUV+K#xDTk~~a;-%T+AzmqOGRB?Lg8Fk zc^3*|a?j0>{R>m{RFxWvZd}|&s`DoYek(4%=bO3KK-_kB-^D6k6&!z(BFx@+H54vQ zBk`zGd9XSmQ$4|5biDR~Ky@c@aG-Y+luGlJP!4ofQ_sD7bFHr;At+bn7;b45W?4g|_I7vX)(r{9f$T1V~rP# z&kq<+&Miu9Qq4~sZ@b7o2-&*Q78U*zG z18Q3K+han8oaGD7$E4^4_w8qgaw4)Ksg`?1vWI0LtT_cS$5IlO)#uN zl{eoUn8G#ZilzwJPcD^ZgBPag2;9l5!n#elX25Jxr=)UnsT>(Per+goBO^MD239dS zHn0{(v=)F%12t+|4$`15YFLvWch}Y;0;qo^Fz5$7dUA~5U4?04b-=&bjcvzAxV*+e zNEdlHhHcb%p5D2kTJPlUQGx9!O<9CR%Mbciz!mH+$66kz=)Qz;E0j^aBgnEa3y*mN zymAEDK%1QK?cjl3$KzUE7i$gBuqnND0~z)85f_DWLdFkqj}M^uNZ|YM-bu6J@lYoR zoHSeB5o)v$aFWKAAs(0Hgs*x!CYm#=Hb7Y~NBS<3^=tD zb;AOj4)$X!qX#IWT!Z@pwYwGmKpzX0%~Stsl#*Pp^nJ(41P_}gxdL-cv;~B z!(1)m(4&0Q7WMA#<_0Y{8s2(%s2UMo?P;!^1e_A6>$K3E8Zx)nXi_UdgzpA{x-O*>09<0M#+US*GMLBn-%foL1bfx@;DT}48p&V4NK}(iD87M>PTSC>5 zrK{V@R46jiE$NYT+?uX!>%mT=Ap2jVDr-NY_OB)U(5C0GRn64+;Pj*Ux1$0*9DwV+ zI}e63o!a_zC?B!s+5Y1bXracIo2?->hR(AQ68!DyPAgH%*Bii+>#4V95U)fHMROaxl!#4 zpr@`>Y@vi^P7LJi8(rmXfKmN@5#z=A50?_^1+?zsm9a~iy}aW8%s7;zcuve+e`82{ z4b{xPHD)Ouc2;1tAt1-sRH3@c=xw2#ns!Rag@GkFna_`FP>FbR#=^xqA8j(t%$j_P}`rQO{V^K9v8|Sl!+M+!E)s4ETgga z44e5WA((5U#x%g!V0Qffcw`R6?7lYO)Q8JVZTaD< zG96I&(ZKIK5}2LLb1Tg%tL5}QIQ=)%nC@)>7gd|fP-HC}cmKJ7v-;)^O$f~p*${2t zf~jee{|JsxaEC6%Ja&61U7FozgSL%er{>q@?&zU_YHI?bEP+R$%58|Q4XAw`@$5jk zTD-t6t3$;Pzb?>_&u`=|%yv%6sow!C9`n1~sjdN)sjwE((n$}LIXzA>gJGz5Ed=a; zo8CYZ``jo2&_SWrd_GV+B(R&;`w_UOQ4oEELl4tg6RtU%;X((asvg&dytF(=)$Ej7 zr-f?I0()Ys_9T-k)CdPq5x*$kIqY%{KEH^+(i&Y^Gs7v|h%B9l(7^N{&hNjlIX4Wv zh&1*X%mSBC4dyVB1C7N%^D(GL11^ATQQg(8y5->XlezZIfX92-OFF;sv&*=q#$FQ2Z+KLfhbr0g zOGBAp8q=M4D9Q~7hbpN9)MB_XU{<`S@(C$!M4#JF2XsM06l8ULdFvf1s@{KrRPRSJ zCfR<4j=zXCz6G^)2Y?-<8zo%HG2nmg79B6R4y6ouaYlNYKH_QJN|CDR52jRT^yPqQ z0{bneww4vQ4%rucD37?Hv#=BC*B=Qi@lw~6`%*`Di&Sz80v#YmHQNm&CW*?_^g?bp zS*M%3oZ9PnT63Wqdj|%nqdjc>9iist1Fq0@ORov0AyxYg)mV#La!fLzLT0f)O%LWG z&)QR=N+d{sInb;Q31!-0)1go>+ipyU=W41JwReL{+Yac86rFvot_@|#S$&Rc_Xlcs z1L$r!2J?teYu^)aNv@}^)lkt!6ZmMr(QG-)0il@2ZQ!^yY(3obRINhrJ>EBfFV#B( zjsjf~s(?hp9Cff6S<^4yt}o zs2(c6+F=afUyu5k0(LiGgKD@Y)p_EMHGr{3L9T^e;>{)Pb#^G9b0va$@SU5uhNT#l zn#Iv=9*m!Kd7){|vo1){^B7G`JGkxfL#0!P?RvucNugFJm0i(Y$E{a*bQ25aT1xJV zj(((6V}=>_Vau(MQR#jMaLoqN3HSI9Evo!3s&WI57~IXB$Rjupb4z-LKGii@ z-9ovXQ}5z)Y|IQ3`UOx<s*;@21<^iYp7lqA2y-+ehbHSrS@f0TK-zRRCPySOr7-+&SseVdY&2>vJdwQRq}}^ zL($$ErnZA(2iWVjz!++DaG(zLt5dkfb3fk{C?8AuTBzFo6yFz6V|7cuzD}*|@?8d| z9rbw2;*kHK(K_jKP|>4N(Y0JNcyiCTA1d`&&Bi0SF?V3V70z#jIc=)uww7WV=*xhg zY(5!qH+s6j9_y%hBSG2NCCt?<7d_5FO<1uhuG^b3X;-wtK zwe|^BayP2pt`uF#+o1-U_=nI9H-$A%4|Nr4F&+eZt$?3v8uGi%g+QAIww?iKn?E^x zE>z=zfU|Cc-J$%A`ub3gihj8>ROju1xhZ!$f#&Uj(inK+?p$Gs`}lrEt@Nk9#lBJd7%G`hsPR~qn zilnEo#2)d>Xo(q?oyfdo_^8Iq*mQ|}VVINc15}{<1n{oF?9RZLN-CK?mDKS#*JjFM zOiep?2lPYJU7?hgU6zKpOeME)qdGOvK>&Mm?P)BuiQjD=8(73!)G*HBRRLG;OkhdH zZGgD!KFQfMfAGF0FGBMGXYI_%@+40$cBRTi&UHp0)Y7qFlPff z2O%8|5zpGA`QN@du!tz`K{w{{AP%q`3iek#jS~uu_vEe<3e9hYDl3>agc>vg(?vjuv9It|XP=a73#SC^!TuJ1&_nRcD5myX_Dx_>{XRE%{qG{~_9Fq0 zjB%H zmDkS#J21o+hG>lWCFsd5 z_r6f_-t5Pm6*`iK@rkWjpobB=k#bIMz;>e`jbv}$Jfm;aXOE8$HP{+3Hk(}?s==?h z)Xa>(NmD6A z_a`wm=lC24xOKYY|MF|wc=LAN;;AZjq_W-d!tA)*uv3~DFmFsztFT!$Uhf$x3U3Q4 z?=)(00C;L&<=#kFA^q_qxmJ!8w+8UppmH6?RHwZj*JbDBNcf9fJAM{$TC6t>Wp>|B zz}S_SaVY$gO+Eg@OupN0<~DKT;J{4P!#&7*n=02D$L87`D%yi3e+o|y24L@i8!8&}p{o73hIq`il*N5Ak>^IU zfFmj+=?8q6H}|NigShe$26)i%EreySItb$W6x+1J2+w$<=(FLFQ|FDjP_-)H z_j}5=pto@Moq=i)s1riSgFPFeYJG}_2YO!%xDrrrt559j<}NMYo4a;9jpw+A0L&Q9 zP$?&`<_`?j^f{o3^R4k4C2_GN;>O+2Si&{(%ES&jB-DVm5{(V}f z|2P#O`1BE3=Nf`H54o|@82fWO5wBGXxjW@|OQTPLLY8&jXGfq5Qu^-b+j1B;Rspu3 zg=xGE$L-vN-rE-#H4E#g#(q)tt+!qg-wY z?4BCR@$bK)sUG9=KT(&m+KVo5buFTqu^#`SeQc&0E!ttN?xEP{$LmzwESM?a+DhAc zn2X6S&ACKS{O->IH&T}0rS=1^eeICI@4&=wd_7QoBVa_^!%mKW!@xPzN@xDs4}@|lut!8!yyaLPDT832yDdcr7miZfr}7_%1k_Hud>8YW%2p^1 z?tY11E5o42L%E_>Bd(*ix)$AB?X(nq%U1d~dv>L;cr!&5{q>0UPq9!_C3|YC+|>nL za(O71HdVfv|1bnIg`G7 zeS}K|W+|0ZbF>9xq>8@VL3-;ssNDglE^S~9+w$R(iQY5C>coKO228IC)m`!YvssD{ zZ4P)|U*n`u%SQyRfLBfkmh*S36sKzfy17?&QhXc5_Xj*$*+ouMyp-9GqiE$mh(Xk{%2Kb(n1$vj6T-YhY)OfMuTG*betHd!c5E)yV-T zo17`EP>|Kne|~sVicWp>X@}Nm0@hWhtNn-CuKTzDuxE0Kg3D#wbNSy29dfg#O7rX) zTth)>B@!|W<31l7APU;tD;SAr-EygZS#rZL@-YlB^ZGPFb#*CL7*7VkN@W&=)7 zsU(R;xI>T8E5R&xuKK-z$1D6BEWoV+PT8N21(-sAj%FSDNWcM`Lq>OK^=N{ThwQXF zxd6$Gf1ii{fVPF>I||9OT4n6US&y zuzD`k7%3Fq!*=VZPrUue6lb`lVHHr3?ndQZo#o_#Gtgz@04iTLc2TvaDzCPGGetYE z;boy@tn>E2p^{Au+b=ox;H3SuVe*(tj!_1?BG2L)KbfLcdm%*8@oICZW}PAo+d}>7 z$lL|;BO-+wGH+{_$A+412sn7`ErzN+7SK%11F!pfij4)}_CO!sWDKVt|JU%;u)-`! zZ5z+s7SQ|5Pyw?GPHv2z;>HPq*_Q*?;%Q6>bx?uM_P|R=1e_{!gPN(jXK^jY&tqJ; zOH|$GUmQ1$(O`e}Zl3#4pnQH20X(giJjyksFhadwLJE$6%+Qyp6jgC7G&v}g=P`CZ z5z54%BbGlx9)1uVCq)PN)6<|{8}O@i?J89Jtz3IA)EQ9t;x!1qjo^E42^iZtAKyPJ z#kDv*^BXFIixqx?nR&E|D;CU=IY@d93i9m3+&w$s)(SnLmRI$2&FK}7R;gg|Yhm%f zyEsrC5Kw)deH;qq?;al*ZVj{%z;GeZ#TEu13#eQU6z}?4ic{3geO{*Sr;HcM`y&(oRK{54G z)!m^+y927Ii*ElIe_#+;of>L#XyB5Y1IpKKv3&DN;cd>1ArkDK7BCaI6KQo3lwVWm zAdlL7;2UVRn@Uzclh?&o9UvHzxX{pru1evr5kPy9M;;3}a_Bq~Y6r}2?+CbH@+Y@L zofkL_#`^K*3ZLkrJ)>}sZgLUyV1<(g6FN(`7!F~WW1&^$UtCds1BWt^b_dUWHPAgI z;6TiY7MBT`H?!X=!wfWR5rcI&{3yzxW2|2i%J6cT-z`fhPT(4^FYz->EU7j6L2IQ@ z99vxl>zwKG0|Xw0VkqAKRBkv8XuNAsWNzKK_y%8kCXe`1RKV1W9%&IXa7(IFh~>tq zxmJ>ZY9jUXZb{vv2L{3(IsLC^DfTL^@k77FOv~r)QGse4XuKidQ5ohu{=a z3U}VOuL(7zE-q;AV-SWKe`a@r$~UhI)b;`P1#rXa{RZ267uQzAXlLybT6KH^Uk=4n zFV6yJ?G-2vil#PC32dfqN8__An)O52+1L^o4xzpfFa!Btjty1ENuP3Dz|`p!zu~%n zKcG3nQ9Qe%z`6ogk{bFWi0cXI9Ez&iL+ z<}YE+;NHLxh3h{Z7{RL{yc(|X<^B~{U=XuGFK}oc(F?4RLxU7u1T#R_5Q1k&7YL8>;z%It=z1oGj(dh)b7X-!^1xy{(V3Q0p zB~{Yk3%O=@(&ERBS=Zw{9G1HLu{ixNa_s{EGIxH#xMYC1%k1?%p~}Sd=eVZei3A() zph6xd#2tFbobMwAQy|mbp}Hppmd_0|aON%n9V7Sy_oH}rK%4de_|f?(s^gQBL)}X4 z-G@7e!8UFMz7nu|a%yn&Mjk;i`}YUjEaJ}2F;cLS&M&y=;*Y7Cn&ZJR{UcLc_a3fM z$-$aH?Wlm}w-#nQMdwEY%Muw~0op!6f-Y10w=<}90RxP)-XF@t4F+^$4lWFYjm^s9 zCG@ITJUno%!GA=)?g$zqUkA{wi@6I+s^g)y1{xm=lsS>}Lj98i19o1uPlg&j6YxmR z(eT4H>Y?Rw(9nhb70PgHwU`2K<|uzi-T%! z3uP|D@2U=A-8_vp(KC-yn^WjaxQ2%_g7U!eAr{|;#Zy}D2vQX=#IEhgwGr+8vxR^G z(63Qo1E9`jq0B4WXjgT*_d!S2y)k#^P-+*&)oA`DHw6r5RO&8D<8qxQ-t12v2)G(| z2qRoPH-#G|#M#ANSn>z5ghr3f4RmPl5-%tU2b*3*r50xa)ATKPWh%_Ck=d(t`M0%$ zz&1E!$Z4SIAf$RY*Bq%g-X6;N9(Rx#-P{PnRFDx4z?q*34xkRh1}6vnXwjTnf`YuX zq9AU!C|kj<&JA~Bx+FuV;KxVWSefga$_A!eQ#8o0<0w2wq z5$;+jCW)H4ro07Xhv=G~x^x&Yb^v1^p!+l>>JsS>W0KAFf$b=b<1&Xb^$jW7VaSbt z0yjFCOKrtcJZ$Hw6LZa-kgxv>XA4XFL(4z5vqYvqKrL7UuF6g?VKdwbw^Y_K;A z{0qFQq>ByRm`(P4fwY`t?r5vHdVsobHkM0Xd#rff9$|eE&NbJ z9l8nXV6JTpICs*g;(F@#U7;!(GyWdeXpA`?efFgY0DhHq0MAoXM|aC|mlpki`i-cc z*;R9lI*(tV5#?y9>q9vzpHKtW5SYzdIyA*4G;x_2q*{Ib&J8K(+Z@ z=ib-z<961MO+)oNfst(DeXjTEJRZs~PI-)c1LhdNn9?)dp$&R$W&5h!9o)+Q-UhW4 z=u&4LS@)?>Z49i5A9o96pAkm;kicP>)qi_3VE*rTn)UK2feQU=zdO*UR*oz7ggIq) zj@LWOXjeW)Rh%7G=9hh);x~BY6M-7~rzTElrO~Tj4s=U?|7+aEl1*8RXQ9?t0ay9> z(gx;i0%G0yp*pBf10S{?y?>e)=$l+F=7xZ&jIfgaxTcGiOlb6vX|zl4UCQ4&GDS1x zuh8-ub?N7Ck0zpZQ|EMjDCds-(%%5z?uoeD-V(|*!SEfSb{rjO9R>AHD46JhQbX*c zMt@$iE-1sEaQA6U+ykFYz38;;^ERQu-Qxo73j?kNYrZa2)dk)Jycs||w;m8ELD3_j z%BRbkp-No$V5rGu0V7N8ZEnvLUFSPQs>@dgrq={Umj|xBGT`8+tUvfvirT{TU7;3l z4LGGMpSu{WGcek!TGvMF%vJpi)oWwAgS!Iy#M-V<%~Jzo>h!1SO%8;(2PauJ7d$?(!#YryfrRe>qYHZ5GfRB}^_rUO@JBnB|Mb6=p^ zC(zs%fY~Nt2D?K|QGS;pHsQUF%#l~~<`gf)rIoLjzB2ul_6nWUs*;kk5L zj=W|xe{f#lZ|$uxPE*+it`(Z&tcM#pob@V7+v%;dVm|SX?%a6|K)()r%5O6(i!*vh+3F*`kNJoy)?+R*+M`c;q;k#?-4&_ zK(N;=RPU_7=|=?&?OjN!)4v^FjnRl>(TMJa0XwdwkJ}*HuZaX z#S7SFH4tcpKpR^FlZAj8a0S&xj9bvy8aib<)ek|rD#AF-F0e}s>}-{FHaFrpR5Miy z-CcP^0q7Hdg~mE3_Xe6})m&xaIJCQl_rYw(3wAa#+ry4MKjH!S+{b-6Sng2!d#LU& z(Yo=0+<@brHCcv6aJTgVuH6ZRXv;?9H&R4jRHPv~q*rmTf=NIF0s~01LRNA_SK0qo zp!9yQxPNk>y%cb=&i{QM4YU(p%YPJU9TjQ`*Ww^phho?x|Hjn7Y^W1>KRqqQJ~DS{ z$@~}!Th+4)_ow93{zws>SyBjMe6rQxQzEvzb0IJGxeJxg)tHw;w)!M9|L;>RV&F0 z>URV6b3>!`+X+i_`lByG!Hu>4I6w3PKjdPW3K{)h4+UIa?JUpfN2cg{hAzh5KRV!g z2E(#-Fw8LERfn-4LF;$Vv7y}9rS;5HweA6d=Hme+xLpat$%(x^p35oI@{L!VmKzpE zPlPhXuxJzLwjD+~-DPC72?ZYQ3YazUyA+NfJv*kwkGqzsE;kUA!|N7|=-d&|)DD-E z@TJ7hDC;~*Go&|dP-o2L1)TmdSRCWAAi)FP8t9-` z-)Agju5ZhHs3+B-EuoC6YOPQXkq5ZzCXV8VbjJ@N)&7To4FPl9+GXuRii?5fV}UYv zcQMxv4}28e^%$hlj!=eMtFw6BD{^gyCFmfN{z&})2ekGKP)gRgr`<^l~~I^gv?V61ryzv1D` za%az6vo59>WJ&F+TyrQb4-B?z=z+&CHSP;FdX7hE^pvKmNN>eaZ0E;c6|vu82~k=5;X4h!XM z>AA4Zm9njaLv1-EP>!$S-y8|g!EBq~=V5ccCINLQQzU30CpQ-P-Oo|ovQ2AEC^wq) z=@MK@$>&1VVBK%8GlGexV!H_CAEO)fQv!}jifE}uof?>UGpg63 z{@EkB=J{NXx0+X{sQx*5?~k`s0W9A652wiuKNfT8)dpsJX~+9D4R~b_+eITr*z^EK zI6U;nwcoOZfX>kV=;t?u(p^``$h`OMh^N9+IO{QiVcP28#!zdi+DQMRI{Gjy?(>2X z3fJeZ$N3Qa!^5MO6cl=PmP|bDHo#cB-#!`WpaNzBorX3;b?vpeX2SX0Yk2N6fwDpON{aS9=&nc28Tk(Nwx7?nUw?`l zw*+=P0d-Yi^67xf2VT4_l*#@nE^>S)fHzy#0aSLcWr-jb|Jy!-1`hE2Gg?_(26c7|xa%@nRHMQtI$trKg<4+)oEW)^syTa8^6lvO z4>ts+eIB_W;HurXp@|*z&u@x)hSd_$gQw>F_2r>nm54{&eZ=kRrvYBdbb=WSGYMwt zCWqw4k8cjFrsPlDo}zn_n(qx|9N~T({hx`l>JlD7WBpQ{(*uUsE_`YuX~zbRiT8%P zH7f4^s@`T-9mwjWFPY=+k%1lf9LFD9-VtiF&-#ZYJk_*hbH&?g4n)KH9nN+<-HvuDr09^sA<2F$KTd zLD3EK{0(D<<`%B;Du>PLT6sP8QKw_J6Y;y7)4fu(7jm(xn%Fr#*NlAU;BIdiC>zO9 zLWgt8yt%*)Bv|LoHJE4@IC&~m_r8EL#>OQxw8;srA7Q^%R||dN>=d0RaRI;S&oQ>& zJ|!R{JX?K;K(~J);1aw6#vw}J+ zV5-h^mQy|3JGrI;HxQJXZ5q70DaGdZ0&byqqFMe;X1VrrH5Li}Du3m4W5c%^TKofA zWTt4j&fT39`SBt8>=v}fe5k#@6S z{YL327pAC7>pvRmZ5Ib7n4f*we||iat@Kz7Cte#{xwa4(eluV?b=QtieJ$m(P+H0e zi`Tkug)hby(`&ekpj@!#>I4_8wLhC{E@j=OP@YKf$4F*)Yrw?{FX5Xy^g_)q1{~r| zZ-P2Fu(%QGIsgqbTRWsr8RBglI9elV`<}+#6rT&|(oBgC@oTS~8qhAw^a>{Qs$2nT zG2IND#*G;ip4wE-^b{y$xmX2;>jIs(2K+3q%4!re-aps+?*mQ`Y(&!2_Xmo&G3@ct z0kdFk+AtJq4|opgm-BAMP`3jsD&WxEc&O;X?{fDG0n^Msdzd0-x*cLy9E|dM1=>!JMB_3A-ra@Rq=8DCEpu$u7{TZ`>BBp^j74@dKesP=qh( zqmvue&M)zZim8fzh2lMd;Tr?vd!f)+N9vCAoa%A7>9V~3N@Qf#VB-mScn*DT;b~SQ zBexx@%0@o$YM>hr93C(+IEJz2S~QJyH&f(Q ze}#KpMt7Id$+=0u=@oM_?mO`m#xko94{9`e_1kAHTHd1N4q7MALGk)(bHJQ=YsNL4 zu*oTMLY71@5KzHa~H&#+dPRMi}8s&xWp&&xC~Ce)-c zW}b#Lp@weMW`VPir6FwNwV_&7KqpusLDx^d9vP`?%E(_E;iYszjYaO_WGZ;y!g;uW zu=+aGH@LO{wc;a&2c>8*)~8lAZ177O9cD3hnKl?V*Zk>>a8B7=8qq%>%QWvG5Dp!~0ZiUfVKbJBLsid(~A3c>#+o2{{ zz~roePUc~Z>2%ubbeDO(Ik>iwmnuQWDT94doY3)2ZVot>bWCEiiq^r&b-ek#)V>Y> zdT`C4ym3gV89kWFuf}en}aBaDsO|uHGZRgOkhZ3+L%Eb zw!0*#@Zk6q`^e3`Ziacw`=_{iV)+uTPlsm+ro-#VV(QX(BA^eeV}9zc)3;0fq$wYr zo2NnaPRq6W>g#E~vp0(f)Yo^e2(=flvWuzH9XBw8vb+IXsP5(3-2s;h*c*6`;g_Gv zwHB>(jiEl#X#`z;rFX=L%W_W)N2Tt=A!o@->L8^(%9>fC4AsmbMS~lD>BY{!bQo2x z^;cVTdWv@W^R%sT4lo~ZTviTyM~p6L`uN$Q^v|z4=N+#yL&JWGM*Nfx!z8}?+(4g8 zw|z~h76NdH(#5r`?w_gCX^ua@-6a5aRtE>_Ukdzvr@L2ZtV#U2`$9PgvD-Fi>!OZ7 zI5lAYYV(S&orRkH5;dD^1xhFUaHu}4>n#SF^blntjkfLB5tyhnS3%ttuxgHq8oN?l z?T6gMg_0RPTM`f*cuftW2T2fIo{t3M`3oxF3^m_x(jp7tf?WBNpc7M<8ShB zF#CrD9c}ba!@do})^VFX@1bzj?m&rSVTmVB7!JCw)%7)bU8J{WUDBzRJUJtvGnRV{0K`>e(5hZM1Ua z>ruULW7r;bv&g><_v0=Nba~wRg-{cu`tRVgdjL%q4o^t2_Psz$saiky+(ec)!U*l$ z4ru$yDb@}OEWxH8&3CeHOkE6SmCSi?x9lmTYG!7Q;N@#;@Nb6Q#y%ys#YjxgcCi#UKb1oj2;@AM zPUUw%G@)(VaU;f3Yi|qX=PR2_JbZAV?5W;|NA?A54E1xl=h#ZZwO>3Ga9u&QKGe)s zo*Bx+9Lfo&52tAD^?!rK6jvREqZozfLHpB%+;zx3xja-^OorAubgS;;?w139aTgT2 z>)PLWDzqJet_~xOK<`FN8n<)9+FNmi(tb~1a7y5uO9Red&Ss(Js(`$I6LNbmEvnNZ zGgK<3D=v-i8wch_aT##!|KaWJ<0Y-CJ721(!ovZv3agNSK+y^`4Jz+4w9rpM6`+7t zg({i=O&<|N!52{85xO`MY#K#H0t7>I((=+A29j~|g560Z6O+uHS2H8mnaMb0KA*XF zl9)^;bK@mfFP{7Res?~7nEA~7d;d7=v-a~m=Xv&CZ+q>v*4{P4_)azj$oLbX&{vqF zoSu5CB7oSIY|sK2Ix|xkZV%>m6}^JhO#&@?>ON)(JKzOv#6qQe_{+h{%=tF1?U^)H zFkkgFBYz1gv9PT^AI#%;%ho(N-GsRPY1*29JR{R5v$NcrdnwSi=aVr$+LtTSs zMKDoG{ifF;_CBh?hG26S26*nw0*kSKXhxgXMs-ibfKr@MA)s|2@XTIi)@eW?*_> zUg}KjxlFn^P7~#1Bjm-XcVU^V=q z+DQSu_Xh0be@#EuppbdQN~^p*&8^I3CTi+6X zY@w6-QayT5Jr`i+%#pkH({=fOuHf!10AzO^j2fWHCJvPYne61R6nnJ1dbEr}XxB8Q zOCL(JET%9rrmV_--EXDo5`K>H8a*l&6ZSa#8LXJ@Va4pSG|lW)mj^2g9TdA1&^RJx z^3Gh_$k!}j)g^8mo2Ks3Jd7`{DGFx6X_Id(pB$in|AyBiS7m?q=3pbO8ItI7Zg0ME z4HE02f_0`@r+2yPV(R_x$+g$dHdnoY&bUBc5oNIS42xczJ+RF;ros+Q8 zw8RA-g?i_g= z_3J+rVEn*ZXOm{%KPcB+z7`ka@H9O>SF>ax--nLQwcmYTK#jSlzc#>C<#b)J9z*?! z!nHG4bwWVxxPYzL-8QPG(Q>xxDcKBWAGCY%B)}yBigz3Jv%=J(sXpe$@jBO*)hDv1 z``g38wKTD@$J|(-IJ+)4ijDm&FJPLm!29OsxgibInO!u`3Xq5uTrerWh1sQhFE_wi zsE}^J+yP+RXfdmG_z%~EJ*X!Almk6MC$t$|8}Xc`c?kVR$g?V`6KEQ`q(`61jR{gR z(_SGZ5c4HRo zEA+}e%ercRLWkU%tP{O2160}Viz>AI;anSFMqHOoV545MviskTNYisy@8v^%RAU?8 z=pf3Ad{@KRh81g%3z$bRy9lP$2^E&B0jJB3=Eu2#z-hEBVAUQp@5?py=wC=!$T|0c z0K*Qd!ED06X|x!J$Md+szT{^4#v0UAYdhW?%wNGB+{HC0*?1s8Pf$0?4OT_;7@IY- zXEVSaJy0wbpX3IwYCRp`^53_3YLiJ;C#p5roY`Rj{&z47@W_DHIG88jn0Qb+H)3er zxS~oL{`8DIHv+C6meA*uE)>lIw51Sop#S1TuNS%G`|i#SSFYcMbOtH4nBFaWdC&y| zW&Z_ba_XpE$G`Drvqn0VhClzshFm*R+sXU-m?fiII)Nof&e%#c`H5h9Jo89<MwQqh-)+i@P5cM4R$=t@ix=U-x^ua9Qov4Vs&nV8p~r3IfHZaAi4s=K$VcyCcB5(iw7U)s@1kwKY@dJTqW0 z7HsG@HCa;lYYNiOvE6@WuI-PZb+>Ujh`ma)#dOkV{urS>H!v7axY8_@LUsD*Zv(10 z(-+cIHX2_8LqH6qD0RcHb8QyzkIx9u`e>wgL&+MZz!aT7I@VZBvtsIHs%&j-a@Q z==84&He^`-5UBNVo<=uA%Pi)poTD(lO5G5WAl%b!P?W&Hc?0 z!Me``9K|%@>Zv5=W@-K@dbH-afZ2Hgr9KBiU&00JC^Xjx>(l4X4FScqLPOneKlj;S zHD0ftn{4_W?Gw< z7T_Xo@(^!95}RKN_&9wj!2zA)_oP|F0QiFTlfk|V%Q}$wzQY1$7?jq!0R7#+kEqn? z^YL(XbxU*w4OUHt3Du$%d|ZW4u{8?M!2m;v13L8oLVLqc#c|-xBX0P+BkIgwBDS@+ z29zJUf_|>m=A<9alZ!orfW<^^%{6VYRlDN{({!ceC%5uRb#QQUFl%gDGp_OGI!b4H z*}@oIA&)y3dX2 zP>rGLIPA-Rw0Xqh+y(4LnQYz}%*1u;F|I*1Er@IT9-p*=SUco*oiHkH7=3dkrw{C= z$+AlWg(yz+^SqCbTODKlReP2D2%PKl5AZ&#f#xm`W)7{71<~U+{Zl@~|61%}VfmC% z&LF!Ji!SU5jWiog0N?e8B0VUjA=#C%cW@U2;IB5yg*U+uw=&i2y#th?yK|$9SnRtH zU@^*87_XD+@0*sO`*pddjF$oW@gs80?1OUUDe(TR#1fiUy#Iw@{Tq0WuGMi}Tr)L3 z9<1wX=N9fFtV>(CdrZLeOaSyd^0)vG*8bm53^qX+?BwjAV4hSs><3%H@iK>7Jszxt zw|TwA*Z%Uh>EP-Mx#q&D_E0csuS94?2Qc7n`tmAc`w1HFLRJIsj(?Xtu8+Fwa#wY( zUldHEaP|ZYb$0W610T50eEzSXfyqt>t-s;=+}hs(g4y|UKq=QjHfnDRDCIi)f$a~# z*11SGcy47FXbFB>lZadr!dsZ!ywE-HV z8XY$~=NvHpM4Dwvz=3St5n#eYJK5#+P6Wq6L`AtA6Gs0w!n_|NiB74Oi`8D@Imq7T zKXfWRb*MO+`*L?aK>wxETRRU8_P|x##eFlnHP28xs|3R^x?uCCM4rc*89$gX z{MY2$h5W~P0e)iu2a6|7cPqrq-S|x;tPev+^q|YfZ<0|D1akuF@U;%^pj!v!(YG1a zP8emrvAr$Wx%&i^at^w2%`jl&0Rdw~S$Xl$5i>+L$N)rn1hGwgX{n{N`HJuDdA$># z;n`B2gfbasF%+SJ(tsL9Gd*BzZXdX>*D|9ogUbR+@QnG_rBUsWU~Z;r+act@YSNK% zaBG?)bZc~2fXo|wEtoTBiIl_S7xpmu2S|h=z3S*-XCsNdGXgBS9oY@IwH8~Vxvrr2 z(xw1o01KEe=eOGXz@X&YQOPC#_pjwN<0z#$rvz)<3xIk0q7G))&1o9j{EtY^bQeu} zdKx{|laX&TyGAE1a<3yaT_U?Y)a3p)u zs~moQcbX=Fl}Q~m>n-X><;KFn0WBXvLoLxaTHzF^Bhr9_uG(~pW|yYf*v-SJLEF2S z@CKwaPi&t{{O^!lYrZL<#@DXKv0-N0%k*tE2v%PRu=rK6t@&n$fE=6+D8`o$&C&b{ zz@J;wFR|3edij^NISMAk`P1D2N|RM8r9jVX47KgZh8$4G{I|$*-0V1r1fQ>d*Rhm+5>pO#W(0z?t@5*52^4+l7cp**WqHDhuY;^(c zdcpmJt4AVEu#O7N;ErHDxKMr+1F^XGtN`oCR-l1JY*sG!q017F%)IgDV9sx|?ZFy5 z0+gZVEi_R-=b1%VyA!#ZK{~x4gHuDeFz;J{e$M_r!N8<{;8tPin`H<``YipVP< z^$o$ColS!134VtUEu&UH#M%}@pz-x{1El0t5>drjpKBg~(!vB8h<6r$7~`t}nDKA= zdc}`r_y;n4>mGW(g^~Ba5g<*iC7JMX#oL~~#)rzT-`j(^oKu-xUmDqVVQi&SIT;>7 zH)Stp%2MIZT+`C@Ad};@n7ew4ho1?UM}_Q_E4~V0@OOTy2ZPnebWMe{WU{rO;e zP+Os-to81g=Uh2x1YHrd8a&bjz}nxg1=PMylPSNVLz-L{s4{tYcCPJ2q!!;Duoew1 z_G&&@DM}g#8{;RM16uR0U`uF)XJLA*p-Yc~j3L0N)4d?MHgZv7U5v~)p$0#d^t(hV))MZ6JXQ1Y_I*uKw%J3v#~ zaP>7NdX-K+e*|7y#rpldgUQta1Y5a==H`InCLbEC`b2&?MxuyI;}L3Xp@jdj7cL3=Hnn_kL!WH7)r*w0}eYR3nRKLB=q zz{ZOLrpE;=D?S4-WTST;H=Yad*E}YzVBJZ8HU2|XZSr}VaL^^=>#*?w*tqkcfEv8? z$kp~`G|@)S_Wz&l`YjdMFxlNJs~cCU?YUOp!43G^h0}L6Y2F*KvH*sq?tCO*^wEIk zJpt#1(qj|c zzPskvxb_=>rvt{n4)&V>#AkXJ02x|`3=J?D4PgiX5m5}IZ!Cw0s&pixyKETky5Ye-e$j!aeZ>2fh&E5OBfh10m#QL29tDCNL znY1)3$L5A^l*{^MxY~Pfz#_DlU^C4ea_{7?OJWhZVx};tq4Mavu%{fpisqH`3LXe% zXv1mZzar0Oeq5Znf2+I-dG;(le`TVH-Dn*UU__)(*BX}uC~NK^FTb9HQ5e!)O?~}? zJO|@FyVtU9t zUfp(bfU)`(*X+h3%IVZQz#HCRWiM689 z&6RS?IEX9eKe#q`2R8G2E}v7vpf%ESQ;}yUz&rPoTIP6;1!>)0C1W zsNsIo2E^%Oay=l@^G`hq^K=t9?Eah#?){Vqnn^|FAn zDry9qGy}{obzcZ(|CZ>Vt5nNOjp22$b<^E|T>yIENk#96HUugB$Y!v*!YIW+!ylAGfTl*eIf=Z{=VfSx*!DS61|> zi`M7X>w~SbcA6Ilcshbqih)TjxxoN2@dI`R%3L_>MfHM>{?> z*bEiw-yKl0+>#j4Te&^J1+=N|HWV+}zQcpP1FD%Zu{PNg1S-hB5hDIRL(nYMd2_WT zp!R5hp1A?%Ix?ho*HCOb>23+YNEA0*laURq)B(ig|Tb#b!gK7GyGM0P*(J4 znQ=J1@Ch?r4SR17n!MhnQEL`#z6x-%`7)pMJf7zJgZ0l3*zZE_4g!ulFF^DEZx(}D zjO-CRwI|ZF2Oh!fv6X*{()BM5m|PyvS_&{nZ|Gq9BsZ?)2I6DoS&dPyJ0-xCl98R( zLYh{)wmt#|aW)+iFwjaNW@c(Ch~rN0=`~#Y7@!?s<%+Y${@3vcGsNDTz_3?cgl4iU zKn8s7EN-Boy=MY$g&$^uZ$)Uv*d~j3cjDn0w$_8M^Kspy3D&~zx-4~~s= zZ3!qdJJhYCgEQW@YRx-|S+{2=9~z>KMH2bit~$?Q$apqi_R8gD5%&HZ?8e*iqDNPp*#_I zh>E7*GRQPKIzTOZmG17)p7M=4lV#w3uS~&B1E}%a;T*5ov6_|74o~0QPJ_-?lv! z(4v1vb-T@AE=N{y2;BNRcs!W3VB4UJwq4@1;jae`nmE*&Rrtj&JV(D4tojYW(*fOI z2m4I`^5@Li!?x?bb?y(=SProAyRU{ST+im3iRS4;V9?%mV;B9^jnc0(hc-EaYcR!< z0w>7VaA7_4!MxBE6I~ zTG6fpL}4vB=sXh4x(pL;KVa$@v;nvu^$!Kqz7SxVW0{_6^|V(e`YgPY5T*F*Tl~l2 z0VXnxplKra-&qh$b_Bs{ z*MnUb&_#7uOOSp2dNgW03$SSFy9mQzOF*LvFj%vEZZH>9vkQau2LU})?Pt#mXe@GV z&t&KcQYAnKA&mVGrooKOIYACDPIC-@O}-qwBbeEs-#~U7hXAe(c+)2XEY8(QFo^K` z%$$ALT~6TtRImo7N^)BKu*fL8*ruj(0Ck)mgRA1?w@k>Mj7bq;^_BlTPZ^nipC;nkJ&>j-^thGoxm*kfB#*0ewi^ zgv7lwX`T^q!Z`sNWP|CA=hCcDzc%E&xfS4gX8Hseg!Qz5F@)V0!s^x6E)Q0Y#DTEW z?EyV#YB*Iodpf>l2Ai(V4YT@9^sI6tOI?Zw}@v(BxGOVYT>wjB%56 zBeb#5?=Y@O#7)6e$uW{`>8Z(14YEWWL%P8)1iT^50qHI|BH(?HPW4kcZ$)yP^K`b0 zYYOQsdG&;n7x!qHvQa7#=!;3N8<65L|8WHju=eA_Rj^_N5o&*K=)8-9O%Un|OSo1e zI1c72>wH+zLcFcm>cS86VC8(S%V@%so0WD1y-CMQZuZGwWyix)!AzMB;n5r>(mHs# z)mTW==&C>8(ZI^PsM!Rg+J^wp1%F^-g!%VmOG`=zFmDYkb9HRkYj{hV)~yfk2v)x- zVEA-^OB5OEWU~Xy+PoV8L!DgDmwtPAsby_Gkh}g`U&+@#NE2R;;iaJ_b>T11O7nOa z`qwbj%D5-?Sle>QC`_3k;{&YY++6{EUT+Gl&kLk(6Z3ixgzfR%Hon%~H$d%qnYYMf zZQXyySel9&$~<203l_1@PE>u~;?b-IK5o7tO^t^EPLGr5Vk4x%62osG#by53FIb=H z#8kIlt`%EjMyYRM$<32!{A@#j3;aueDOelTH7MrtW`ew!xBA{G+@M!hdb+u&{{q+O zM(wbGwREGDAwnU)tC8{Wj~~r(7m`%@`@8+g#|LX+sjbp8rlsp_@bMi?9jm|3^dfR< z48UK29Uzz=WGZ(hQd=KviT*wGctBZjAcU`-9$=K%Resr6__16YTovGvwKZg|!#LUq z*S!p84RWQ=I)uD9DqR%=QZiaNtX(G)&mwE=o(b&?6 zP99JH+}PDVDwtn8|BPUb;{tX*7vLV4Qn1D>K0r3g=6Cw+@7OtMnv|LxoNHZ7hU-D+ zMzJ82RNy>k(cRL12mSNj$m}bk_^2d{rg{}&rPgtAL`oil`X;a zO3i#5DlvSlgpJ>vyVaQio1yp*F_sF~1bx#^t{ec?4_HBv*3(lZdo>c{E|)Q#v>c}U zY%n|7KqAHngR^cax;;G2Ey%&Ebl0+@EztQ^x(Z9zK0neHo)3s_HH_%XvmX}Z9+Is@}NQuAVDotzBlnKbQR62{nitDG)Fu+ej zYy*C)rp1$?ZeWShy&^zKoFYgK20e#jkJbm=jN#EgIB+3Y_agx{Ra~zCC!w}?fK%@j z;%wO*pwHEXOzQdcg?1mc62x`%EySuvSqoF*egCpvgLz>gw*MG%I%4?C3}$dH z&oSsTRcDmAe`0`}>e}>vM(?fv>m!}*D+5f68FY7jRA0!o8XBs-lC>oQ^od;4TX&jO z)$F9R)%e-m9iU9DhXYpURj1USqo*zui!Xqw>d@!W2e=`luplNpde{R!OXo|SlhK#C zhH6-dRzo!mu6*afVEaM?i!;{ps%H>%)1Eso2&R?#3ly-y!StcMK}ye47%&^? zZMI$tR@)sgIV)gD?=R*<|B_MaEb6PM$wo+b+?N{@y5Uq=j-aBuI;oZ2MMOOr#aaW; zT(0r@O<2}ap$pF~&X_6BkEPk#5MUbSeO#--#>LCIaa4dC4BWt^7rBVFXzdd)z&sc- z`*#>E*B>v=2iu5j_#0Yfv4_2K-m3-4T_c*tcU`7!f+Q;Jt&rXM_f-hH5$jWX zl)KQyv_#n;o>ut*`b{XdKO$PygSB@C437^md$W9YFc-WI-#w|L3XFR0xD>~78!aK+8ecc4cf0jSf}?>>EDa6LIc`AGg#R>jOLYJ z_Cms%!vMGRYJ#fI(?oW^hqNnZEfleWbgohx_Xbno=D!h4W7*rx-Q|Feqhx>srV0Jd z26M&vUk#`jj4_k}gV9Yk3A~YU7^GA=zl}2WFg)hUjl{t78FuG<(Xr60}TKcPTzI{t*+o3_hTMR34QaJVD&8l!&$(NV*@69(&_l;k;y)^dVUbF_*{S$ zLY6EoAc-UT;@}i>?A*}uTLxixDPSQ!G&io*}E5Yi=kUEcE zb6vJfcl%ESxI#M-ni@2jTME{opfCj#ft~xfY{7a4vU3FUg z!RBB?2M8AoDVHe=OW3+4p!&6dDXME6M02>~?lcW&xqn7Rt@^A(l+*aVE{-_@X>c_( z_?L45H3b+MYQvt?X(F zy8OphzH#080iImdgv4eZ6$Ytmut5^vw=s7I(Aibxw>rV>P;H4DipmwiipC?^CjRH1 z3a0xpzBkzZP~3dC2@f-m9`@eaLwha5*C2c28UPcJE@v0AoA|d5zWP*}p2?wC)rJP; zl(aAKAGdKA(HkRr{jUZL9}duB&M+v(3R>`^oUOh)*cAJsv8O)w8 zF=G1_xOFm2F_&+FkHMds{5UK({J51IwKLP4RRK=)^)Yw%=v(ikG+k13FX0AsHVSLi zxTzVP4lP5MS;Js|(X#u~EDjo@EZk=ZWudKFy(i7Gr~gVYNK&>&&4L+La`CwHB5u&N zqF|F?rIVNk1MxS)eRC6oi+S!*nvVr&+dbc62by9ep+v>)AFQyG?FYcV#Ul{AWlstC zwV<=Ba%-rDbljv_4MB3&P~>&!XNTt6R#;I#I-ptt@Z98-0M&VfMe_9x9@&aoX-itL zVxKJmwY7j*z#=BxH~-{ZuALq5k8vw%Cj^wUe1^fSOjTm<5Kb_|MbzH-l(2IQkVZlrYmL%7++&wK|UlhU_)|H6ylF>_C zLuWMH16Wp^30T(M6)-(K;D<2pygLKFkCIr{?b1!(;#D->BZ=L#+tW~-k!v2-R$CWr zX=i|*n=!4`rHp|$vphoxb|v&{+!G*$TwZssNmH%pBWoH#YeRQc4NSxZ{YRnxq7s=ou-RX z=M;;edq`&oJO1}C3y`(7LxU}%&YmUEq<_==m8!MrKEXzatubi>Wom5~o4tsL&b@=X z&jlFXQFYxYVWzc%*18#dfSk_r@gJeTTJO=N!L(f8p=({nYYqK+q;vkm+(jnmuMJoY z+q96n8Wi`Z#w_zI(E!Hb=5nh*j3Rb1!)*l4;J104!B^94B6ThmN}m1sG|P;LT(yxV z=SH2>d(rd9AdaWEHunwIKy|0H0P9L!{48STO0Wx(G{*sx69e@A$EfKLLi{x}u!i(? zMy~f|Bx^N9{eD!^f^1hs=O8p58{OO-%mq0sTz@)6)We zv|m68Ng1lFz(1bG$dZh-85G3W#>Z~#q zL3Y=s9`aKaFh9oOydj)EC#(j#+4HN7&|{C!gyFk4TPvAK@2Mrn$k`!jh)qrQzK z{->)0tdD3TiDM+uwW&3|rDX17+-L`wt@4*%bd*M)%C*Ml0%oTIt_vvpV&K*QVeP^) ztIRyo-ng>CZ)5eP0C;~M`C5SSY>xmM?~zzdpUV+F?iEHZ{aSR$I#qK|&akavu9Z|g zvfGEN6%t|eqgLncg#hSmK)kgOOa*fqyYSs<&TR{5F}L-Zj;qIL-V)$mx8h2EGfl%; z)>bG@lf8NF^nl5)1vGwxM}8gbH^GhxShqdEgHkLAn_zg9Fo)pgwynJ2NJR=7=xrLs zE>`bsuI&QAC|zfhgnj62iPmS(imGge1I;oKQ1H78jD<$ z*vP#^LZ(voXLm$!6?&**9@H*NzG}5$j`_%j8k+!nXz^^5>8= zJi9Q%s{z=OAVco05-s&+NPC5Fjj!TiB^!P$V~k9dwLTQALc9mk<+fm}%MmT`8zlR| z+$}Eg17N!YT(Id9TV$taX&ilZ|KPV7QSo<~xB5tS?NYF}2RP51{YWr_Sg#}FfBrt2 zvw#^Q;CbAgD}z~pe&P0D9!pD- zS0G%IEdi}6V6|GQ_SQ7}?++O51cT?}LBLiR?@^m$#$hnYqd+~Jcm(6e2L!kg%Ne$f zoQ`39$q>PKt=`JX!Q4#R=>#+OpcMZ=5x6+lDu%i&;}?RBuzGGM)XKkp2u-Zs@Y;aC zMIy@D@AP1Q!+bQjCcr|-mk$m0(;EW(39K=)VSuS*p_c6%3(KP1{J$2+47KaTnjGlw^FF8=Gi;g}ZMHaFx}3KA1}_(=Y=B$%$`(aIH@C zMWhf0_od!-XRv>L1Wj~xav<0?0ETBBoS8u|%T4^nm8a1Kt9QB##yo`UH;?C5I*)}o z8lFCLo(B_kc*_7vRlXrf+(6fdoc?A`mm3ZKSF5+ch}@e|_5gBsGyE;b0>N5O1Tqe%Z(GCW z7=PAvzK4(Rk5FIAcppYAT4x0`PYlrD=}$HxiPMR0qk%UMw(~?P3wu2j;D1A5hZPT> z5KvM5d_mXjkB6nSJf=ndS?dI&j^r+mciOnmyAx^CRwG>%k+81 zMBvew+Qg4;Pjl<~0FNFr{&zFPDV zBr#girQ@X_8|sz=mJSc5y;{*!F(S{;)^MAZ86T5t+cpGP``dbRFxPLFAu9cK0W-$& z!{Y-Ss>_zux`!?!>Yz9}6RYu|QtH#sjTKbwJFsy*BCm&RDVHk(^9%07Fa_3mA&(fD zwIJ5*S3RVuq|*-zW?hikzV2yh-owaC^~9d>ZbA-bdj|d9ZE5}pm3;d!KoxHUDS?zF zq`iwuPCm-DM*@aOcA1LgG#@g~P`nIe*JYp4&^5f?m3kMd8J+PsHmme@GJFqT&c|{Oi9)~6U-T6?VjGRx{?(l+6S02-5I3#wmtYZqvLwH z=1uj7dS~a_R#lv?b(#US&jx7MYN%=T64&U4Zt@g6Ucy<(Py=Bol@~D7LfqyWu00zt zIvNbQve4h>mU*tvH%xP^JQu9VV02hY*#d&pM8SUliGbk+fF}ct%$nuVAX|gs(Hs3w z60e!ThxQz^<4JFMad9wKq$k|~W&e%VN3w=O+7H|%}-f%;}YtVGc zV9XA0IWySJYXiy*c4RO~^6hhj4Wa2Z5WfR)8XpMIOWXYJVD*avrtb+D9TzaWkmk<@ zxR9_ws^kJ8$;z0!OdXv`fMIo`d8W>_dQ&L`tsXlmVD6v*qo(EuhnJ;kqIm@qZvEf% zQn1Sd++;CaM9Jpza7_LT(Ii2^ilI zaMDcy)6WH1Nj|xb8>o;Wffa0`u|tD8qYtH7J1pRDl?dd|5)ZAno?z>3xz_k90NFLr zV+f@AFwL(8j2{SaQ?Ugg(}&VrjV%7vE*?R`G_;?*6YK~8VrFDfF?;RUG+mau{Bp@? zOuF`1ZfO3kLNbx2Wb1T{KgC@}X^v{JiRNhm8lDC^gUpn`+vv<-ucG$55J!{u|K_}4 z7F8=({m-Y_;@_;c`5COh7#Ui`9(G0nr34Q-Xd@P8hjmF_zc$SttTpRlDCf4#X^xqw zO7ah1K&BYRoxlLqUW#{b=Q-%y`cgm_!fH)@bZrtBw|1RHDwKwVc^UG&mb*6{LR9>-zi zc>H9V>ZKclUxf?Dp_e)d-Sxq4-oYd2<*zOTSR6V2Xt2I2`FJq1Rj+?I*cg`m_8|c! zWp#D1J{+`W!ui(-{RHJ~+!#>7%L)yZq54SuL({az+E~@<3az>&H%hDuy&OIru!yh@ z@8Sm9*u6Did27JnZovHkR?hdo5Nxy@;6mHFYbW($xWCMErv>bd&`i-r%OtDkxqSb6_#PL5KvRN5VN(IaBG099@7l>56d;T%*s`_ z-82r*wVr*UR~FT5-WIHQP_tl*Re)-0o#4)Kn#MAU!Gnm4O97_NrQZr#p;KhO)>&wb z*zVWnIpnmDB=+dgj!gjyh=;FMbYl&4`61nC939~CQ1j0Po1PairUxcpq{jE)rJKT9 zPjX{>fWaSEi>CZ$P@{!bxNT%B#I{hx*=6!Y^Sy7)w*DwP4Hikl3gbROpgoDPSzolm8e4`$0*b14+>UxMKyw1nchT@ zh8RJMZ%Uai9PEE1z>crEI+(ixR+Gvu74#W8sKEr*mQW&ewjRknPKGv&_6(u3HP(Oj zP%!=2R~`)3hwPL40-SapfSgX?>iNqM)(PCwd(DFt;!ZKc59Dr_X+p-YV0RU7D{v|m z0v@^IvuSwS38=N08_xFryw_xw=Gr~BO*7R9lt8YY``O>fA} zy-Hx_9l^?O9YoY}N+rS>dj`Q=X4Ljr(Ho$K%YyGAdS)K4kWoi+gSS*C2iOCDPieH7 zYiN|AA>&tbNN2T2d$ft;b9n?QaV6r`!TN;fP6Y7g&Pf4lE(n;Q)4%#uK;xr;>j5(P zx?mmr2!neT`Ww6*Bfy(5%?9nNUBO(EUB);*j5?cc*k=~3w>F>&VYSaQq|-=;?zA3{ z(WpXVK0f|TfXSxXr-B*$DV`;+q)YAwL>xX4P&*5ZPu3ZFD&p#nagIuOxjv#j~Whz)^XvnRwJy>Ss*t}#(6fi7pjz48% zXh@&`Rz$@-Y!h;th}3(SypX1&oZJ;`0!=%ZNGG)Bp1Djv(Kwd@4JS0CgNHzD^N1(n z%~|nLXOvS$S6Nt$jL!PbRMj|GdD{5 z7UO1Ut<)Xz`UPG;I6UA@@)CAG&P!YQD`T@zZVYEU{-(>isexSIqy0qV0lZx00pz8Krd)5BsL4BbF8W*%vqg!Gxl`wNPtGmHJx$l4)d1IPM59~^}~Fr5QPge;Lcq8E^45F zOlQGH8v?3*1BPb?tf#x~P$*?Hbhm$AfDT3z)!oMQh_tm!|3d z8OM7+oUx$E3Sv!j^XgnPYVQ$&6MFFV8v;s@67yxIp>a3QeUT=7n=sTS({UGdc@4g~ zFUu3q`^fW@l#U)uEOi?+K;p@MQVfQ)tDUWS*phvzVTx1!4((t9D>={!}Er-{o~xgj_ar|?P2^H7;kWD zdT1~w5v|@3x>R=r)UV?aY`Y2ldB|k6!Yy}_Ne9g|{^}~mID=(=3wP!}wm_T{AdZf! z9?HR3LeKK{)Wr4yX*%ubN65x8gVFtHG6bn+g0@L_kD*sxI#f=tIV{)=mbEa*#yoW1 zjjlH6fqN-V!xlUF_aJ*?7GSAfeGtsKwsCN<3FK@Z65u}d0Ut7-(nCPBoxc8MMS$10 zj|td{!k%?TfOXQU^9+Y{ig@p2(7$pncVTk>gn;gQ0;U%ROi*kqj!cjKo+Lp7oXb|w z08=wP)u6$RlLI{9K@B(;;W`DLyA7oS)kYr-&=o3bfCjAG7@)f_Ko^(SPS=qm(m=3i$`_`6am>q^YDOW zNasBBe?Y$%;mj7K#2M#iD5+nfj4KCYdatmKUI=E{+nmx#U)0cY`Z90UIW~(|gLHF~ z01Zk7{nQjqxOK?pQ!GnqJiuMl-YUlq9lCp4zsgoDzo zuxVo~l0Tf?yq;@_?XR>0B;p8Rojf1VvdNfXQ0|-mtgt?KB~T2eUQdxx!@v z#d8DhUC6cRHv+mJ4KN&S2GwE|cLPpf%9M%O)Q4{907^DhNhD_;$yp6&S&C#Osz$nv z8cc2t*orQ=c6R+S_;Q+NOq|+u&s~oEpGciy&C$cbh7Sfz&{d7wY7N1^Lk^te3`G6w zXVUy35}_S8=TL`lGuYUNp~G1~534smE?_nc7)Wf$?ljhTBA658B63cXcr3xwjb%f>{-&>ry?PrnS0Fh%+^5z=DgAGEbwN`urv9fk^$% zl{|b@K$m%Dusxv1*ep~k<;&>m4#dKh*Ab2liSXcR2iUzTO#|3vY>0pb7H)4+vHQ$c z6Se!%#7 zn>t_y_!A~g-DK^RE^K3#Yd%sR1nZ3h%v{u9_iQO(HU8JTC(Y?00cESpVZrJ!%EL{I zpZIfJn-6H9GYzQW_R|K`P)Q6Wu3ev|W?hqOCCmwkg(roSAE4sRE&yBmf$a}K#tmz_ zT(auLkbs_%)psqZ>)Og#Zi|zuh77J{#mT|KIz<_^ezX`wFVtVFb;Y~)ZmPfc@4@uoS_67Cz!LcY1R!3J1m?bRZ$(q8otGgsge%nW(! zhFtUL4SU~Nl^l9+ps|m3ugnEN$Z~F(#q~8l=}}cfxV3a!CNE~SJm9+BM#1Z%@?16#MB6wHcg z7Z>X;PjhwqTJ6d-U2yyet1?Aw4U?Kw?%bQ^sYpagD>CC)53=QvU}meDh=sdI+8+l) zK+I7|KNl;tcCI;Xw{HpNSyv_=+zdX%X0NWTG~Bfhxr_gR(>gKVhtqc*K@(1|<_KPeThGI&*3ki03y+TsR)f=OqX#^6PN0d6?W2SK zlI;|=s$+e04O}t1%+M{(F4xC+nB<9QL%->%A$Mrf+!`?0HBxwY$iD2}f&(=&9RdJz{6;qcnMo0(U;L zW`T+>tdZy%a^>kJR;2W`CCF8AVlV*CzpdTD)MTg1KJ*(wHLKtV$nDj%L-2R2dWrhg z=-&)-_E0(x0A01BE|Fc~9!JNWAb$moYE1(sXjF44VD)&Ov8LeST$Ay&9o%Jhz9aJ(Q%wtft@IxIb78Hct0w zg==;fH6Hn~>Dk;ZXPl!IHJCivWANOoAgAk4Z3fj`eIAHBuX{Y8%b;so2E=g+v1>5- zw}xQQv=pYU4`zom zunjIWzqaty%JF(6lFy)N`0;rqDH$oYp$lX1Ot|0-U_+=LWN8!Z>wvk>(`8 zWJF_Qu+>TFgPkc6p+WGL_+?6wEiV=DX(X;{sWJvS1YWXGc5c*B_ z&|rTAsdjuob|oybX+3y=i~2Zv|MMS+>j1(mWsisF3kL+&7@RA)xl=fL0Y?MU+me zv2f4Gs|LBTYd+wjallxsG7RPh5=#y(QyYCg*W59uN&9PtI*)3Y%-L{qu-a09o`O4R zYQIeL;D8}Yat7+shez!l0V7OWS@7N)thW$g*ihy<0lf&fT+R(23FfAf0UD)oo1jtF zD4BC`9o4)g*UBLSFw~-p=k5;HJ}lrt=vQ_TBk0Cd8xIGo?HAC6riN{F^Ng;Rh3xL! zXkh=x=$liU9)QbwPd?QC-Fjf|uKIef9g(KXpt45%TAJpkE%9*WunitHjt%HAe>?&g zYM%(uQa9+8+fbZ2{~RK!J==m5+cbwzyN;@!1w-E~b=-+;=x7>wa^s%azTc!*%h;jr z;XHg+fXP3DN#^672mKkQ9&#{X_)3XBmu1OqZnXCaFgobnD-@aoa;*kumha#ZUO#{? zt}0#E_7FHTSStqwE2rh5&iZ<9h?MgJjoTZ3W|~)7QSp1+byzz79X{UllK_AJ*C@7u zOUEH`Mhm%XfW%P5?2I&rD6!J+$y%O!A7JA*jA`(47tmowW6E01epbv6VyhX$O9<|+688ELnO$R$s8JvW%Zoh!WI&nua(*qm}f?|=`}uS zj;fESynJUsh4?IeCZPSPfU-2FFFH!*dzN^MoOum7*o6o0}S zGj3eGCBVx08Y8muqJcp+bLJi$51ni5;fxNDaR!yxh@9!O+WP#Pu~HrIK40rWM7>Dm zpocVFh_V;E%LHjXri)u$Y(oMKIH-SRqU9}6NbPoIICo8&`)uMG-&n^u{tWCrV1EmL zXPX1uC{f!G%sJWF#nhYT>r0UCasK0M#G>JIF!^2FcnQv!gfnvIy25F!g>4$06yQv^ z$p04VVyT<h~_E37Oh_!(@p|_-Z%Tu;VT`UY-S8w=O{E{l$ZVnGtKR z59ab=2X8qCW9eE_)_Sa*lkmm|bHk1|?*oH=KX+EZkr45Zpzdylzh&P5_Xa%*qkabo zv-p34B{WDhKr1FN?|D^&NmCzl@>HgvL8hrA+7-+)Ayv}DPEKNMKVfXIF*bKP zzVqB*qxk^SiX)9VChbPL>$=Diyx~uO6V6@E`^aCY=E8Ul z6uJ%D*;oi@eFh9Bcj3{Lp}ID$VUd~`Mp;(FI=aM@Z^JL8sg~*Cm5OutW&pO$*bLJz zBW9yL0`d%E*1-!h{#`hl7Gl3m!Ak|oeY=;7&7a@t|2sCB^>#6{4*zyO0xoOh)n)I7Udq0l;w&}qH4(bED?a-j-&V^j_cylNE`cR)$y*%_kwP@2{ATw_=h=ywOY>a@7b*d(GMDMeXJY7yaY9uQyzW5?COjK)t{_mU`}6y_e*I`5jg#W7tyF9dZ@T&*x%Z!@iiCFdZ3=JZTit-?)u&Q z8)D`bg0-;Q9WqnMWDHNQUNx`;Ks{QfliOhYU+o*vm<23V0fou)!S-GZ(2;ZTV<$Z= zbi_R4NeHrW=S^w8!CQYY%|7;2Pr5CSU{3{MH^QD(BeM$$8_fcG>jFII&QnYDS<8+u zX9Fha4l^0Uu?Y4xrOR`$OkB@?KjZq?|39kdp7x>dYFHb#d9?A#Qf0PCc>1Hj6{ z$FTw%zZS3>QGZHNhD`3yb4pl;vRm9dL=tr+{bBEJD^1G>%5Rfjo96YHrBWuT-Q|6K z-q*xX+`cnFt<~VY8x!ufn+_y)`qU`=+O{-*kMCN(EN5mA$1)dp)@h#?pt!|ax=h=S zNYj*`rpm1g^#!h>rmp0ymF&;b^cX1v_DyWD5@r&!g!FF6wbo{C!0FafwIj$p^E`!W)jL>Am zF)l7Fo6#We%lk&-01Zml)@+Ex#tZS-$2Xchwi!bTg37=*9RELljjFA==lu+n`QyaRX~$o zbr|JU2<9A;-9-@>>7*WjzLayB>i6OyxuMrr-4IM2bgr&yoC>0MHicA!gx<^V$Y!(7G%N(3CPwtdST!DhDx%t?DjRO+CR zU3Un+3OWA>;+PkgWqQ5?#7xVtUhY70RI7>!qxgx32b=M#ik@~Ew5M8VHpg&KV>!Dw zm`h}XynffS6Kc#tmK)bGGQQLvNJ;&~{Xdx-Mb?-#id>x*%wv^W2lH>I03HWG@!p96 zW`it!c0w~wqjbK^c(*nKEJbQD?W}Iub`3VqTg)0A`7D@C-+XDB6*TR6V>@>lrNP^M z*K-$bG__D&1%}YLKR|A|`AM~JU6~t2_i?+e*f(C{*R%razLXsC4P9dMB>o_YQ-?(% z7S$MG@f+?&)ns(f;2WrhiRKbwW$Mt))5ex$EU!1&Y1yEgO1$fSjn+c$me<3h7IxR3 z`n5K_Hx6u{jTCKd@yL#VY5~9_>hxQ|#$OBQ@8SmEm3}V&J?`$btf7YNfi4{wP^1_U(DSg0rYF_tqzN(? zVvC2TIftOnf&C}2s~-($Jr+=YN{N4KJQFbg#GY$U2AfmG)jWj3aKgd7z==R1lna_e z9VN>ji_mP(bNbom+g(217Kn`w# z$!6?+gu(N7s@?pqS?}GHYt>x=mN!g36s+-u0B5UPKO3xMjlRN-uX5vduALU}jfcUo z-g<|Vhk|J+^iQ1#M!UFsR)A{=ONL!T{4J9G+Gg&a9#Er`joksd@wKCaU3*NxI)ujh z>=ry)K0e?LH8#g_4feDYe(ai62TLafTRJ(Q4<$#?PYN|p0}*gGU(Zd=fwg)7|fT>T^X#@o8g9P zhUZq_;{W<@d;Y`C^b*k!dcBc<(?H$Ch+N9lcvb)FG+{u$3NXaKpdzYy2jrTux&5cX zYJQTw7*5cJEvNxE=i2H)upV&J<3l5axVMM4>$cH#EeETizd?EMa!I0$AcQ; zVh=VQ5%B(J0`x#<7>X78{7zJ|1E+6=LZ%xA5XaCC{S-J{Ep%uR6r4<*wj!AhMz z!q8s|82mB-mW`2(C*a$Uk&P0f-T{V2z2PL(kI+O^zIinm6NU+`awshtrNXLF1}{`y ze;jm%aBaLRpbvE|y8ea=A8~%oTEfl&I;*A&3kzF@;Qm);5Ux3->HbUdz83Ap$ikKA=$fB`yxIME%$Ms{B3 z;S1jxVA{Qh$PXC)3{LyL9*-ClJ9rjsUnFM{nl@o_1Jhh~xyS&-r%#94&`JT(FL`xC znk)MRjK0nd2D1YF_MQbi4^8K`1WYTyIRHAog4T}D4zNnO_JLrl0cU?N>wBoP=dW4N z`TCe=1Wd0492KzXVld3Z!YKj$^#NNn503_OeycTuIraXWqyL3~@nHcg%K`3kDL&k$G_4`^7}4SFG?55P=7t!kV%s0) z#(n|g{Q+pGu6X}j!CX|AdN@q|>$|v%)_(J>0P9OE>U!pxG&dpM#iSuQI$pIPWp13z zg85@&6@v5t#>fMV-0@&6tv1OuC*d0r0V9S3nD+yi=VW*=rqA?z4eO(gnEM3SRRQJa zA|RNDi5OgQWj)juzr=Hl!=R$^Azh(|>G*#@t(0+3+;%Z<1%yHTeNaEkZ&lMDqb?fD z1`?+8sRbz^5Xdw@t@QryIy2bH`vO|CfTsT&WUuDF0aX=H%mez{dTW5of<9XIX%*~z z9)VyUa5(%~9vK7}jsI8Y1?!__>e~vc)`pVqA{ieL%yUkD`w1RF)dpypWwiz%nkZO* zRl(3Lw*U>7f^|@^&i_im`cLL=7aGW@?)G34xHWnzz(dH5U5~M0;{|SfBf!~Z@R4A{ zj|QkDOmmF04qLfn4qnwhD(4M+TA}qVEG6DZ+4!sG`5Z)mDn{Jx{O-YFc1ER$pf>S z{#sCp(DNUfaD$Jh-I3<}fdL;uvfb$J1i5BDO+y=%Ru5{FJxON;tN4#<7T_7vhEIA3 z|M|$hmZ5rAun{7vbF3+7X?L*)o3XLQ2gb72FaYj4(zS2G868&(ko3b`cpd=_dVJi9 zx8B-dgJT1xCj_{;Xm(;SBfV}IRL_5xPnt>cq&U}1m3={RDrCs8L;sjy|B)9A>HQ2t zcF*>J`aN9ZKdkiJOrOU{qPsqZ-wI~NsRNUpy!xkb4f!*sZ#|NhRf6sG^`qRiFDs~@ zONF8?h=3lg@$5eRa|4NM`vDBl2)3X``||7fe}woDWErRg$K z&&X8Nj}b?AE4o8fH_uhM)qGPZ5+T#JG$cd(P56Yhh1+3*-aiaN;KBJUxF8}SW zUbw5f`aZdrTnCuGwcy^0nZZlBVedDqY6$l&RCKCZj>m4Te~db1n4y zLH_pY(zSV5Yxr(#Pmye`fHgbI-i4f&ptwQOHI9yhKBlY17Q)*7V1Ns!sa?agl)}^p zf(?*P#k;(oZk)vH6(sdzZ?$YguC-?Y$7<3J3RcdOc`}$WH-8d-M6Zgg@idR%f*IvB zrqzY3(`NvDXeEDpHGI92a|TUR!`zeJO|741k0D6sIbN^$=$yFht9Vrp<5A}YqxAtz zU%DaK=ehQZ)^--`SF3>0IRT~&r0(2BX;v2o)P9y5^8iNqKLnhs6L|!h>Vo|}^ljTo z0q#LEQ8ufnsr>xy)RS*_+Q^kA?t zqB8tifU8t_StLg(K0G&m0&6Xs{$u$2s{Gx}f5-}?`2W8%gXvJocpee#e>^Uj4q4+> z@tlI>Q7CVQIJFIcIe^|nD_9o>SY}#7{z|w5=j2shpuJKO4@MXkzZlTIDPX|+x;*j= zXK{_bxO>X3S*GC$?e5ktTfvw=>X!xhvtrr^?Y)M!#*GQ4!0ALG>@nrLx!2|lA+!*( zac?lo5lp+UfuSaID%j}sIe=v@mMcG*R`D{PJ|mbO_d29q-(rbJoNJp0gIyfZK`+0f zbY2_m=dS0*<^Z?)dG5J&eN*JG9GG)=uuTlXAc99OtZ0HD=Z~P(1X?-X0R;P9q)AhM zEF$IcMvg;j)cCjwS~Ko_nl31NxO6%Mr8WhwT5tAcBylH$ac2L)fx-S8Z!T^My48b& z_P}F{j1)PmSy3TpYV`DR`u999kXF5Mu+|kcF-8_?8>i97EGtqJtW+=Zf@^recNw5H zCo{V73Lm#1V(_M5wW|RPros~Li`QosUa{Eco-~VZ!2oOT4Dc9geZn>d${(9D;h_P2 z{Dxf9^Qi6!=Gw2jE12`D3b6*UFu}Nk4sD}DmWB=O-!W+}&jOCx642qhW{sw2fZ-js zs(_L6*1LnPJ0YNk9t~JqIm7nQlx-ITn4&Wj(S>SPAh!P%x%wfj_$eaQ{X~F?wDzZh zm3R|&t!xtgP%u~dqr-wN-^L9j%xR(o*=|o$|Fn-Gv$m}BAdh@0z&bpqKxZcB!BQW4 zbnZg%5_{GB8*0~E`lC~Fqk+vfMrN!^cHe|8u9$1hW_%iQo&}TFK)(Yq>&lQ_YeIWd zwQJrC22C5YfEO`A?j8O<-S`NeOga1b++a1jMV-WykpeEu?sIT)-k4WvH(4L@*cWtxJM6 zFmo?3jt9|z>W~0sT!%$R(_cw#AiMod0Ywf@3pT^j=n|`RmO6UkwrTtZbG&Jt<&Ok& z8Q#4**aUGjn$kuajhyJ$SubzgQAgxTIHSdU{@`Gi6x47(253r?QP$rb;MVT;Fqok~ z%aUCNxgUECjB-&^Vbc8g2rhh@iKPMA6@GhQaBA>Su8sB&7$DST>A_GnRj!>kLwiF~ z3Y=vS9z|(G+BzAEsF(ut6d6~Q8bR%!)R?Q~k%sd=j4F$+Dp>0r0DS8*tef5uV7<@i!eB-h zw$BGE0lHrb=1lx6mw`b^!?T)&$5>Vi0rJv$x{Mdql^_2c)6)7}K<}`C8B#LD zj`y+Nlhr|EODaTa#1QTu1kBNw!Mg&q49iaj+Xgi>ctd(He@}o@;P~lao&x3as{!-s zNJ$IPt3M95IiSklUPI_&Elz7qu!`{x_*$F)(ByvaQm*l}wxfJBSoK(d@fTCm+E|y2 zYVuvoYVOCe>dMr4ndA3pw{yIOcLN9^_eap6fe19rB zSC0IWQ-jqpf-W)@d1FxUeJ{_gD9gzD|3}@sM@wFo`Mp$8g`4IwRagZGHf)f~w($ap zNI>9MO%3-|ecK5tfU#yH8Gb^bZ$kNsWG`}@`Y)$e_7@AE$I^S+g) z=Z$PZull2a<*gpK_Zuj+m0gbAmfxE9`M2=dA7Ji2#z!sDJG5=M{w`01@_x?EVhF_ex+GaaD^HQbz8g9>g`aAWcSH(-e?t=%)A;EM}OuOh91 z;+cl>sNB}6p(fu5G>;7|yf;v*0!A`pf*7aLcfB!G<9z`K+=}68iEyUurjr9Q+X`Eq<&}^rcPvah3)bl`};ht$atK5K$ zT)H%P@3i?3WaI{MeTjQ?TyjxbUuBLnKx7~JQed(e=qfjc-sOU(>Yy}R_Xc`T@e!18 z?K6Qf0`1)$D2KKnOP9`FMcIKY4aHwMJk(Dx`&ZERbI^8wqSX<5K!1B&t6`UY46J=! zKs6ie)-ZP{G|tS8nJG{O+9*S@8NB=t&kuC)?N**$hCs)N))j;faqIvu;IX*X?V&V{ z;fbN@=LI}?rGHT<_p^`ILtzl^y)m8NJ0wl*!^xRHd;4z@N{tt9!gj02+zmZ|u>*YK zJ#g2I(%`G1v<u;;E?(SV&!;+Vi{pb6-59OK#&kf9K=KFze{z`_gF&AoCpj*%g1?7voc;!|r_iDL} zHM*Gp#jK{hu1lPT3yMeYUBgIp=7!1o(;DV7ye!~p5GCcki6#bN1&KnbA&-gfi*B_K z3m6h#j#4|8IqNuyzJ2J}fD6t4D~h@1^uWia0gtL`zcp0*tUzs5zymfb z`P~ufBOec#ryk?)JpjtN&=gg6d^08BIZtLz8aL<0l%Z&PO`ue|!>~3wzVPLMdf?#i z(vefQ4bS9;QLamf2Dp}$ed5mCa39s3J3|fN?psls3EX{Mwh_io&kUFd7*1)zwcF1Q zczWh6dS7=zi$hYj$8pArO z;)2_do_p-c@_9ziS9OdXRKBJqK;!phwc&LXRr!_utX21F<}V7`L|% z863*2{5zo>99#s^I9tfFk71h&A3qhUhb=Vj3+V41%AJOr`!`#5{~5XaJ|x&hg8zyR zeuxfwu3C*?r9s~e%F9B=Tex;qz=}a<>JGhz;%DL`wlw$%cJB1SCD^J-lOB~=^psGa zUB|WS14iNQpEeG&3pFHT>Z)Y&@8-kU^!WLJiIgVdIi4=`=z@h_NAUK0?;U6z6Ii`h zpna`c!wCIkMJgl%wt84#jx#QlgPtkT{Y|#A4qe&BA}BtXWkg6*+f~LF}or8 zm$#>>i}c919Z1^W7V~ftGuBOF3&s8SF>IIen#lZt(*nzfZvGg3c5XGkg3s;A-A@F% zaP4KdW~E&z;O77;KP|Goc4)iM2 zr?n4oS75R)l)Oiq8i-=@J+5Ih%{ysgF2)i698tW8HvJfFdJ)4Z%f=y!BB>j_i_%m< zEP`=CP&3s(JFAojeZHuT%rTjAM5TxOIaR1lbFF@Mpj!_N@XEFK2bNvSJ$Pl8os^pi z9BVms&1RWqk(S}$dFXBvUu@NZJ1EKsivo9%)>@=htp^?p^gj-D8-Uy###SB@s*GTG zYW04EpgcRZM0nSv>2iM`@yswfSIB7DOBFLf6s8?CVkai%9-Nctpk9FEX2lm^wybmT zGB+}JO0FG`@LX1$Jv!7Z%@GDs!yu~tfQsg+f!U7)cJ2raj|y1VY|*HNRO3OeEw%zK z9hK-B59dI?d@4xINcxi8Fm#rQwa3$Ri^%ZnJOFn70(LIp@cM@a_BU#|Ayn_?z$|QP zEe0I2cHrUKDDVLH(0(S+M@7{VYa2VybK_3n!GPs8Kfp&=tiOa}8rxbM@bcC)f2_8n z)FtoOfI{5WH1H%GDwXp`grei6PT~1ChU&gA;16Z!JaiA9CExsJZuHPAf5hi?ksAVd zNe4jBchU2Qt_XDSjvb8Mgv-*Eq1?mPxHgoD!Rk|?oG(r zo4WMPsMJYZ1HLrj%TMv0=Bix1wuat%sVSk08w7}#n!9Jl% zu^at$e6zoH^+A-?U7Y_0SE_g}o`yPWCeWb!dcwh(p>}N!xH7OA8Tr$?o96gP6|e|( zq5>nWzs}EaemkFY9Q4?j;c;nt9LMW^ixcj;Gt9BElzhQwPYKfHb{Hy6;4D{McJLPd z@Sj=ON0Gvo0|VuJ>NTMpIn53G6M)N-DGRxsblyHF_7Xj9;S{F|LWSFgUD}$Qz?wOho>AA zXxt0n51b!Ou(JIgpotQ?R;eahE@sTH`Hk+&U7hOkl-A$Z8142Tf93CZTGQJ{PgTr+ zjXFA`(q%k{`mDh?%j*CBP}rrje20_%N7Gymlgmi_wOlJ%Ka8`BWLg;K43c>V(((rz zJMiA6WM>462+GJvDR}&d$KvWct(t;{r15DgTUUUp!LaeZ0E113*L@idwRdw!2T)f~n2R&l zS-Cb%bN2Lr&fK>zKfZoEpZh?-YLT)j=Y%wU`xo95$}FtAr;Oa3D1IC-@Vc}JTGD(t z&_h)=@CL5CT!rKA(<5`k4yhVl8J<4RjkN)@J@vb3-UZM>CsTcF!92s~kj!fO>q1re zeRe%He%GZaXG(MUrslFL<61n!c>+uNypS%#dHk>awRIR~S$q$MU36l=q?kV(q3;|b z!QVeAU@p=XyUDXO5!oE?Y&>M`<*RSwhEL%?3}!7MYn+_sZRm4%6mTJ}EH4u%IdVE_ zo$zlXSX{p{U_tD3Qz)xgjYjk!4rsr>H8-3E<;1GXe9(i_=hiPw^nH z?L`y2vR>Je!?GmKQykySMy)a=Ih$+sz=*!}RtGA=l+L+Os8sizfnWLYo3h84u2$oK zlUq}r)+^t-KR31o%8VX{m3$6{Gr@$G*G-@2%_jsvgHB*{5zUJO{YwHy8CFP^lrr6S zc-qhmHNGR@xh|cLhw>nyH=?^k{D#&3IuEynmxys)Zj@DIbjah^jY|~8)(yGVzKs7x z(K|QLR2i-hM>%JtbgjNC)b2=0N!(P|rZrekUu_bb+V+u1)*Nv3JO!5O(>Nr9DxohQ@m9}xI^$mkVBp*g$frvXp@Cx^b$K~r!wEPgx< zOp)cQRls@ZN{o26A6Oayn55%Y7g4M~FwnU$FhUBAUSMg+HALZ3nPWihku*Iya&~aon(q(gfLmJ; z>Ie*?g8&AtKyMr7*M%~rQbcw`nywMJ{m(VDviD|VZq#oLxWMCv z3d@)@4MUgy+T2yX!-M$Ty@A@vfuG$M&>%*4g)&ywudTsSYS@hH#NF?Qvb=gZOkUc_ ze<0A0AQ_Wl=EHPur7jl11iVtJ#3aSKz%un|BXyDLw(rS#l%Zohjl;0muu5+ z!lqS~<|U!V2h&7VoVr=~Zl2KSripI2$lv&NoxU}9+h5`%c)}uc*zS1rGZ<^l&OW^J zFR&x)!i`m4JT=WyveXV$^WTuFQk+;=wa+=cqoQGqEh zWROsnYIzM^%XAv5i)73My7|Oysuo|@F3ODw9JdIye;XfuIN->nPjn=4)M!7?=k5d$ zyeWA-*LX*o)*aTihibxmN1Q3TyTGt*&^CKK6g{`%asdvxVq7LQ6?f^;|9(!OVH~!G zYy8Kv=td7;VpYx#zDQp(UKh%(A0xjPJ@tSf*FVg#d>U@(7>7J+1^=s+{X5t>hB-|{ zJ42qK$=z~949_dwM{{oD!#}b|7l!I1855i&+&S2+rj>OYr`N$)I zBaw7DmH0O9w4Qw}x-Rmpia5F|g>MCeu*=P(krlEe00#`7_A8cYdJB_+gUB z)6bf`X`k`K0<-b$P%1wxHYM*bK)C0&!!V)dw0A3EbyBX4zQ(`7rc=;KE9gF~Z@M&1 z4`M32V6j2Rit4&ho?7Qv;c~yLX^!!&O}X1cH_Cb_taGxrav!LDfx7}G0!+}=@Wsx` z{};S~Zf*-4s-aDn1jt{WZ>`kYqX;pE9 z8)drtFdMMqiGk*)In)3OBxv?2GIfZv@Y$NU-y>u+|tP(Rj z#x!O%oE~mHGavCMQQCTyZ>Q-mvlRXNK$?2T5n`+}WYsaIIn=R^%DZ+_j+~~`))Tg` z4D~)db?0{ghNlk0lj|BDm(+xv<~OEj*cc6K^U(D?W!tp@7d$MpdPb`lgw!{B%&5`(RKQgz$A#X>X}Wme6xoT11MYwL1|QB}*;A+mtcN-K z8DwF^yKwNY@w&|_FyWm|O#kT{x%R$5@9aQ@pj@Lz!HWYb{L@X>Irw;+n11s4)1+% z++trBj0}60V4b?_blrtR^O*VwhoS-9>f8Y_D3>ZEXssIZEdJA7Uf{***gO@ z=fPZ4WJjJ6>f470-i;0!hW;+Ra!qcC4h>e09temRMS9S)0;r;=2sK@up z;uG*;jfVmzS8n6m{2c_V%+%OYAw&l~q@jLPsH(x|c%e4B<{q;IIH`l~2 zhiIK~@sWpznuiC^(Q}t7%z1oehUPH=ixgX{LalgX!1%QO{!q<#1~g93lpVkgU5lAs z4be55g#-CF9nZT$IpJ`fc+#bLbfAxMnrf>18jP3jSstKGO*~R}Q$R(kqbh@g0&7nW zltJnKP>r1dW1sbO>s*9v*zE=qW5PQw$~Cj>3yiBhp4>z&oN`;@VPVIIr@8iTv4BnJ zK}-L)U#L+P@DLrzvBG*98Xn1FPD# z6l)<$^5?SL@aMBi@&~_m2E$JEM4*g44m-HH_um@WwKDMhje)Xciclu^1{^ed#0M4X z?YdvB?Ya!SC4POTWXKng>e-6`1u?Y-wmcQ|np++#w9GStk0dC2b z!I$Cnf$FydlkWo81pHz7$rnTEZY-;nCCkgk=DwPD=OYdTV>GsQSYQLnx|!~;c{1QW z(jRUO^%v-0g+un7r`HUV;Y%I9v{BKYz?VrCC^N`ap$s*C0k5j}2PW{!yz&;T)`4_@ z#@1H^hEH=1CYnMj1qa_uvweHOAmOL@`~G_Z;}Zj}*>th#AzJJ)%C2Sg(c8&?DdsQ2iUz^lk; zaAjcWQvuf?U6mf+kY;sFpohjz(b&nC0-eQx%P=K>MQm#w_xPz$%Zo2%86U4~uBC?B z8qvCXJw$GLntzY(n$vfp2jPK0)B>QYomaRa8Ba>9$#*> z)Y}%yy#U*F&5RZAMV4l*I!MspkJ1l0yqn2#Q`qG3+-=jh#nS>U`Y}K}FCiWS$QwQv z>R;e)21sVv$@CG5aqJ({X=|;_8jQc1X6>GUhEqEz)a-7DQVN=2yDnon_TI(d^~!)D(Y$|>WZ9;&}1;7aE87{r?60>XK@UDtk=H1aU827cibI0m~C<{s6uhA2?U5!<_0v zfyrXPP||r>4-QRWP8a5MP}>q&J`-wqXTao&p`@;~19O%TvVnuK+3fezl#>gGhgt!{ zmf+uO(*U}#M|bbQ0C&^b?O#egKMMB@3g=GD_HLdY_2FFWejwm!VE=MOsNU1SIRTxt zt5CgGnywD3iCvtGOCQfOK;DaDR=zIGHeA?%S21RAVmDl%i9@k?X@V4Hu&9?6h2!NT zY5twZ`N;Ob2+3G4;4HB7^)!o&)`#j|9_Tz4XnY*_U|{KxfXgOja8<`Yk!xKfxMp2o zbZFovyie`gfam0w(gRf92(%QdUe8@d4Z}A_)5#`2vU^BfK+-)V-Mx_;Uk*5~mLC#S z$oJ)%X|(Y^p_*R__-ld=Cko!#_Dj2s#KpB&Z^`GDlQ6FwKvRuCs&4o#6K$kwZ0kVK z`C6J4Y?5KdTs6M8oXCRG=;mA^(c(=^m$Y>|cbjJf#(YO9DjY!}c;}(cSWI>~I%_=! zEbh(ld7EIO-lEzV$~TZDMrl3z@!Vd4)@H!Y(1qJ@g8O3K9;xO@txdjnzzF8S#$}7m zd-w#t_{u)jE)QJcqbI*Jo#{- z-4Cq6oITmsqBFPaY1q~*S|H_-=gZ}aE^L}#dl|!?90*|D?j$ry8-0}K5WwOMCPr9% z58hkxQ3@9qXkzx0-w5=&z?*b^QtkECf3fy*Ryy2vOvYu<0y}#^xQ1vQ-wY8w;HLX&ZXju0!Q_*ndbongp}^+?2HQG?G6Y`D4NSud zx^ku+YB9QjYxoEcwljS<_(Gc7p9pkO8ofn1mjqi_yCvX+(wN2-S>w*pVs7+S@{t<@ z6WoZ~6eeqFeigVU;OuF1FO;rD{ktzsOHj=9jqm2e&jgI+t=uzzzjohTGoYV*KU7Dx zeVz|L2iYeSiHbN=fx@2=Bx z?F}CZ{A3U)I>f&<(2`PfjL$B|3nB`O0gmNS{$`kLuWnA$n6Qftnvd|{i;}12b=UHy z4w`HDN^2`x(@f9*4Y8`5z`hFUZrt+p!@c~3wRZ`N4R9KQV%Z9wF-@`(AZx& z*HqVc6Dn$ozkXV%MLM&1X+Vc!sB0!+g!;J7WTY@a4?N((U{;6HM~r4>T~lu&nXWRT zgGQD=x+T=BboFWEQQ`x%vqEWf9;0oc{33IBu50{sGarF3GdL8JA-}|fc%F>YT-OaW zc2h&66LWWd7zaj`cY%{EyJ$7Hn#vyG@ug+O4cVLs?&; zX=cpInlYN_B8`ce){ZnQ9Ao2wfb&p;yW)o7kexQu>zv&HqrQ&+I5g0w3mz6dyE4=) zT^R5vCmcp|jl)}Q!dkLUNCC@dQ zhB_0`PO5?db8s_b-ZM?9*@r@vBHrC*&^k8P7Ulxow+2jzZ?A`H zd^^xTKF~TY;6Unm6#nF^xx?`Zx#1|;!*AU7E1GblnMbD7#dZz@a=A99v{l*o((kUV0U9+hR%#WAMkt?hcRdGErtAGZu|}G z$lCMT;h|opM>9CVALeh51{&dHw1%UY=C2q@wRfm7ecN(spu|#0x`uU^6LP-E4Ww!g z>a7PtT^w*j#cL?_PJ}l^kqjI*TpP;YwkuHq{ctO%6Trn=(`JD! z%R>8ihjI&U!(JjX*Sqc8i}Y;?J+03Kn!LT?pd*+^fRCT%8cNuBPhdG^HoK7K@~Qlj zOVTtE;EYNcIdL*PGBUCz-{9RIm2ygCRCb*c)66dh$`-WyLXDmYOr8(8ZMZ_sESLEE zh-dc6z(%`(nyr2$ppe~u>bWUSj7^Vi#s3*C)ezLia{`_H1Foi(V})U{1BQDQ`YY44 zaLg|^YVkDP=lIG2F0BS%te2|sE^=)KZ8xP{O+$6DRd-NmO!{n{s=2v21n;`NeDUYt z+V&S|jp(oXGJ9(%*U;21^OnE??2NY~e2UHpPuJVB++~ zfJ-=bnO8pUBQ|}!_tP!blX^-}i z0S80loH>l${Mr=m4tCqQ2i_k{h||Q_%jOCAtfiE_P%yT|i1}+4dt3)=j2fSdW7+*>>OehYT}pR=`3BiY_EW;;qN>*RBsUIqqY@eN*A8GUsAnt zfoJpXZ*wxL+{|~nB4$i;6HivNo5zHz9UCZxZQl;%+;7MiIeY)r-<3f;jo;yO-v#JL zlOW4F^D4w1HQ4E{ZntOmZ%MPtUzyC?nN|CzX-Qw7E>zh5;-P^pPjCYvmosH~)3^E& zzV|o%w$np7G1ed!M`=3!Z)^*tjLaEz)HR+wcN!l-*Lp~6u1%9Knn&ebGOeNQX5`G% z$Tgz}jo8G8EADQJE%^xE$`u$BW%`nydT@PiH0X5eAs)($8~Hk@o8)zcAE`bP_jIN51j`da2gw6KmMChb|d1IdVFZ z7#R^+?a_s?WhoR1nm^cr*7dQ9)_h?3sCxVR_V?u4n)A4ekxVZRxH4dwhLfM!?YY)L z08YLyxgwOKq&DMzjq(eKyt6j5_o1O&h1d37V>V%0Uzr>AwSgX^q)Fozwy!Iwp@gnN zscv?%i<{DMr|R``4$v@!(rB#!FWg~-No|{v;ZWiyS@O1IeXGO z%DS`B4b#jHHoMlPX=cLn^xIFQ`P?;J+Z51o*FPU>1jCm1q6{&ijc~1TA8>cT4O{w7 z&#Sr>2l`o*>(4O1&C`Gq=~APgDMOS7N%+XezRwX()*~pPHHRz z8{=*i*&m~<6QpH4ULhmn)0ed#*zW3U9ZNR$(Ij=RB`Ci#H~NG zKH52fyE3--e5elns9>js$8)GzQ`>rHs8&Cq2X5or-O^ivG2TjZ(Q~=1ZHoUSq~CUQ z!OpF3Dmf2c!*Qmmv%D+K+MR(BEH>O9oB?%9USK@U#)RG@cRpsBZgHdHxt`Q}iw znB)PPX>)O zN78)m>_F`u0Z)GQ5XuT?X}#Wme44wXfCq|t)WhV2G!0i@)DV$s?ZiM`Ys8-2%3dK$ z#}CD5#P}x%^Wh5ujolLL-;w6|>jO?B-3YUYv>YHEb=?J44EB@USQl_Bn8h-t+g!q_ z5MG7cEcw!lx}(&pXQ$F#W%Na!qKuH%aJQiRF>*JJSIDS!f1rnZbtqCE7DQN(a}xr1 z;PAjKykCbuSmOP9`P-ve50r)aRwz~81+u*^O4C4T&1s>G4_-ruN<5BGR-y9Mmjgx~ zRt9U+7csP%Gpdf_BYb5O(bm5aaB;}AS2@7<_FOZ;Y3TRDLYgfGuNG$I(*9+ShqAz; zcRAOvnJG*hq3s@0V{N>ni~g?*H}1s+4e9>ulK~UIR@NARKj*8V41Q6W#oU&rGj&rD zFY)4^r>k@5%d9WNN4j2g&TifzoehWr?@tA-DsLh44 z1ZwN?T*Ec@`hgkvq9}GCiW-{O>kiE|YnZLyaOCXYkZTqCqC2eJNb{>Sb$$2HJSb4Ix_5`t!#Ru%cc$rd z>5o+;SbP#3nxhLXB;ywUtw)A(M(VhK+r>2L!dgC3+cV&sYD`z_Bd*~FZqv1imd``J z2j9sxnmPcKsr+b`n>z+onjR@MgyR)PtW@uMTPU~DnkSt505{MkOPXCx)7X7-*PwF$ z+%-S>owtW-;UX6fghCXWqzje~cO!bFxon_Y58@&Rj|YaxXwhD7r+G(UW_`esuJLfF z7S6JXzPRwE(|1j?x{_;%Z1J*y73VH&R_M6WYT*tWUktQX0+`z>8?{=G_9l1c92rk~t-z!Haix+qpqL0n{E{tX4Pj z4rFA^aNf31jyQ5{37NHV0G_gBakw$HVV=o`A)Ox4OQSh!dQB{p;Fx#Tgw;DwGTlfYgPo!!ZV@^1sZb+y-0ImQ zzY(gpBcMm0)4E4#R;bD>wz`!u)U}u{zNEvGSE3BP(*l$Afi4Eyq`xm?i2e?Tn?Fq& z8-uiY-P*kYldWbex)`ECM-PFz0JXdzC|_QJFRrlpy07u}ja7je-gHK9adW6yZ=exQ zI7~_y-R=vAF|9O3+f7$Cc=DKTl{F>432$8Xd7n6~zC?B76)CP-#rnC8;sdGd4xj>2QiYRGcLi%)ld zxqFryu(K=2dGRUQRL8G1>9nqD5zR3qS>$sa9xt;O`ClvdT)p0TOPUoAxR{Tq8*agH zPI4j-)rD6pLV5D$^69se&+s4D1gvl=`^M5LrToo>P-UJ>7_U_O^rNKt(BiFrCDatZ zW?i^OVtTfYkefQ0lS9dNv%kI5)7(POXAcWph>E`Y?!c6HnegFK9(-!32eBdQ!&oz_PPCPgB;%1&&6(8oy zf8GzwVr5o!I+<$FkLr-X@}WUd>Xou|vZ7aUwpjaO z?iv!;P*ycjcjytCC6jtNH_+W)n-4RTJGzuzV5qVY@(8tPTmtZtg&R9VscT1~8*MaV zgr9V8nkzr5V;{$J+j)Vm3XG7ePXe0)npK&@(#yx-y@B=8H$x531HaN^sSKS}R@rXf zEV!@ZV{7aA@F7qup->RbrS;iRF3bK+zPzkk@un{I%wp&6t$+VoK8LcJYHIQ>MG8`M zL4`9=@8Bc+UxVnfy6Jos4rz34np^3#(^BU`4dlCQ;!`^9{_dxDOSQsGjYX}7oZ$g8 zrv(mJ7jWpEC6>~*Cl0(CHSF z!qz!~+I+yl)sTG%6BkYd;EN`C!n;EC7}s=Bs_uASS%AEq$nowpJiURY! z4IXvmxq(@wO4BXdM2ctZKVK){T7Ic7)tOo19#D@IW0c(PsV_o|Y36=$i%E9lGFjWW`~jwBH6YDnSg7 zT2{;>{4ma=duPCL>z~2D{c!btUc3&ta?#*H<|#= z!uF@2c)$+swzymS9&i;+-vxPCy4#(G@@&3N6-qxj|He?|mpl5Qwv4!eU0NsYg3ch=6>F*!%f=$MI-V{M-Hr~8a4lwLk5{U9@i_$G4AShcvECNmMYYiX`Llb@n2+Sc zTj_MsgMO$fdZ2&SsV>603KbnHBgL~a%{pwCe~u99kR|$xyU$nF==oS4Fc=m|!-F}V zGQ$HLH4K<_uV3L^?0Lll{GA`iJXz<5M{sQgGE!sBXP1S(-TyJ*E9ZT2*uDdisW0W* zV3Pvq@~Cx~K^YhL56@ySwy@yJdQpoI?3+sHZ0yhYHeYQ8y=>eOP@hLU#R=9T3~O8# zn9%9prPJ2kbm)0mxji|Qvn+Mj$`F6-N1t6R`PzJ>oZ*7Tw&A@-tb7~OH0#LCN?y~w zWr$wLwc>c-M%hY?7)@gsO6ou@H`cW@uFTz1I>b;ppo1##Dmqv^2<%+3TZ`3ubxl?2 zs~bqreI4%iD=RQ~(H|LF5gyqsPb{|z-37PV!*ZjHYIvHn_>Vcd}^=b(y7Vu)^o>Kw(jr-7pb$3F!1Y@o$B z?e4;o14U$p)6F9!>Kjj|Yme^FmWTQY;>W^?&sdD;Onfrw7bdG?8G3FL$`BbGL_I8@@N-^JaLI zv%oU_f*W%LkY*uDkqI9*sBEte<1<8`$M|F zbadeRbf&vLFhP;3Qv&xOnX%@K{>c(!mC1c+_SCDdglaq=Fo�Y(blDLp&!VEl*eM z(}kDdf%EPisBJX}xa>aMKUDWZ?(#y5y@2~0`|Crws#-RZ^BP<6j_sQRwa)<81jdNW zRI!=GQhfbju1(Geyn-Ta<*l4A?10%<@zSGa6)v@-JweUnJ?1Gw2uk36-lq4ziwq3jiBZO4q0i+I1UR`w2s?Qnz?`^-j$66% z=SZ-P1U(^Qxx{1JIk{%sX}RL3;C+kX*g619^+vbT#43JCSAVuGP_yUfaYGrQn9F4W zb5}dR2Lmf*_KYc|_T!FFOP2>sYWp+i4TfW<;TGXr0MbAs zto;~X5z6&4Ep%xeH?9o0u<0Ja7LLrQz}@K{pXL^Ivmfrw7;VZ&+!uZOtvujM0i#39 zKDMsq8j5btV{me)0V>r(svQ*_4>#H;Fy0rqKVUX_d}k;(XXy_*Xx)D~Bd~~7SnTl^ zPeL64pc@Ve4Fs<;c=A#$tvwn@xpw_(=iK z@2m3zlcS(e{tkR`H@>A!d!qNcn=y`d*y8RO3UBLHNmGBPZ%flT@wZ^2)!Q#MxVEh0 z9sUDF|8={{^juD92N&?U#{>F^`O`vOa7SQCjyFRM*9Tns^%OGqK%4w_540t2);D!g z`Q>%{pCO7RB%_Yk+M$+rHCpoTlF$)PDjTHc;Gz9-Ete*FA< z1B08mdq1F#KLCY}>&Tok>f!1Lxzxg{?K}A#if&cYa|qcZAUzmspWTYS?)$khz^%9F zn`=}xKI~-5u)e;WRoEeVcqo;10H7M zQ0X!4{#MV0M{@&z+CDAd5qCrV=?Bw%%fnoQ*_Ob!=&$j8n?ZB>p+Mt{0aJBO4-MJP z@wDlxHH%AFa_=cVj9M6xy^L-+4I05KO9l2r($DGA;L9AwWS-SclS6z&2j$XFj!>F5 zjtsxwbhl_(q_HkcW8X#xyX0R>1lGXZoSa)D5p<1-5S3U!yR5+sccN@B+OH0*-#G z5RWd`#gZQ$l4h9#AQXM9i#b*=mKmS1#bs9fR#CqF9~s6#+3J)J{fSG$)gG7vzuKPd6!ps7d>@Z*MPBV zyIH>(KCXR*=A8jIdzmT!#w}?Y z0R3ZlFHfx^d}*4d_BJ{;)Rm_P%-brDU(j>2Bt2qQ$LXzWLK&5|hoR<=<|F9jZxX*$ zh@yisG;wn)ZVZ%cBPvkit%`#`Ak?dT<<@E7VFs3}3iL2`XOP>@4dqsYb@QPdp1SV| zRl~WNRyy;dP$krbv98V5KMutUy#deVRA%{T(KWoEm0e9a4zv9Ugbs{#vz$Y;9(auN z)nhuJHnP;YxlhEJC$;!gZ2DlFR_)BdWEz-f>}j7GFj;uUw?i2t89R0uSf(ciTs&Ps zhe`r*d#LUmfgSXyj)9e7`;(#iymL9r42^IXZ0C2Nn2mM53*Z2pmz9hm3gXPa1Mi#Y zfm6^=@Xr4P3Azg4)aX*i1;_Iy@^IDHiZYpPP}IVhW_U_g3{v$Zq+AmOplamSxVc{haukul%LHwPSw{uYvUB4!b9g}6PwrT@-Q?%MD6Lrsyi zhg&((p0v`mY;}1r#TbDu=s_^Q*#iS*F9q^-6Jd=3_iRMlM2xRK5;)?5Kq;n0WX<&f zm!itd0Sj#)CAQ>kOwL?SQgXvZ{#{Sg-;|-_C4%-bRW8s7Y_!wuT5l?Ro zWehS|4CRbZFV!Oi^CU5|e*Js+59HQ9C{W!SaPiM5a^*8=TES__$oTtddJsetr=VXO z?+n#FEbvc};PUnekA(2-F=x!b_(twpl;xxgmj0Qm za+~yUH#>LSn$H;|I4HT4(&Kggfn!gc_>U;-5|SRn&OTbad39hru3*Rwzioi^G*$*? z`P_JIpmP(~2yuRkhw3LsSb)oqEsV(}CeLazq;t{7z~6Nt(}C)w3$%TdtIHQP?+^6v z3Rni_E=f7rL3dpxD;BzMn!0e)+Zt?hFFpdZwH|}4*$uT`lh# z@Re4^=`0rzvTn|ZqKTxm}mhdw&z=tmdtp4%bf)WwbuRR?80+pnuMZ{qhYc zO--eNohBumWV!munLTD>lWlV>33ntUlDfqlo6dZEiL78NR60jrCBE0q9!okU;O!fL^M*E|l^$053Id zD|5}sg{A!F*E9&jTF1Nw-oj+agVRu38R=YnY0%YDvdN8An8Dn+0ZXMUel^rErqD2*syNRpZ-p}-<9#Y@a25%+F~r#e0w(-c6HpmRE6^V{(i}Ad zweJPWD&zB^dc1BA3CceWTQ9XdZ1?Dbp`YH&KwXDo?ZSk&cQstUVd0bWnLbQ(m>BVr zCahc-@nlQuptQm1B|M()_X#>Qi2jvaqg&P!j!zHux}Uv3c%C;hl)LRTo!7c|Q-zyM zbL~&^w}-1E<1<6)a>vA&t%@5*0A~d>@!s1)HF@6bI|6k?HaR{}J1(#tGx$@ync-!7 z5bDAc0wy?XIDm@@HIBkew-RrdLh?KS)Ae{pb{%fp1+Fc7KG zVk5@tVWR|S6gP(Uqy4K41%wdDz=OIAHJr^m49)=N_x6~kDW{5%D9GQfy4 zxG!MleL%ohVuqbiNYI}(G3)n?%8#xoo~00FF7y)w<YZ6s>dE`DU6PGvvyOI{sU?=b9xC)~S{=7I6P= zdam$Xr@xDjz;+Mj=sgU+QgG@lQYvI?YXJf!2+rI|G_ zo9tZIarG4hwRIYJ23bz3K>3O9v!UJ?C_i|PET6$<>ckr!mO6(7XU+*Y9Cr|&i?RM# zoY}l`im$@MdS1hhX3q-@KMEkX7cm?sViOEU2|5vLA;A$6>>M3<`H?^=j6ry1SZs!> ztp|{xxq>BxXR6a<7|f6Vy-()a1mStgp? zR29^+(=Ur$bip-T6|O?zJW1k~MgEO9@aTJEvsIW?V}AhN*WlFzribP(AD;myL5(KP|bP>)F* ze<)2ey~groGWArhncqDV!*Ma&0N25F!0Wztc);TNf53~s4C|aZXfCEKW-)^)(l_yD zy2F^JhVE9pq)R>J1bH~AD9(j?8~@g91Zs%e9T`pleN=lzu2}+K@i~{k9I=J=1-T|= z&^9;O!HjSr-ts9LQ-U@ ze<{PnEor)$;0Gs$TBNHDl-03u5pPjS;4$$3jQ?vlX*-?kh?dmL)> z(|qKVfa?Yxcv@YbrgL`p4|YDErY7!aI=YD_isX>Gv`?raX}f?_#~AT1;ME$m>EApF zg*KTHspw4YsDN8AYJ*UojWGk)7S;qDsG4xsV(IExuH78ay1RUbY&S4Gk}s<9Mcerf zD;hT)8)|WLppSycCdW`YG=)Qxg+SQ>kAn1$4&3%gpuU|OxK|^T4UB$cIP@BpSALNL z7g>(4`ZClr0kx!aaws?R6<^1zt)u%TgitcQG~e`SVEAC*vk2Mj^gOz29BVOr)3@SX zJYvTJy^CX)I8_ff;|M&@Q>Tx|bqA2obw{%vvyfPxIJg2Jo(fAf^#(HHY-qs4%W z_y4a>8NQodqVl~5pzZ?jaDUwchF>~^|IjoJ5A`bt3{UpTH5GGXh_VL0h!&f&Fyqi+ zICe}?Ppf*GO~!!X@qu#U4x@onZWkyE>{6NsGAqHig1MYsgR75Ob?ed5H=-xlWy~{ z+%0Jg1n^G~z;gZ2Y8c`4%j#KEofeom>0ir`WjRb)q`o~(m&!JODwNZ&HgDS7C-6V{ zSw(nS!51Cgb9CP=S)K>rEU>~YU3F|=6)wEBDzM1(^{?K#g^-=IFE9=+yerTQ-)->x#bv}Rp z59bgJ@=hpgsL#K|0yOM3u+B_$7xP=XHt=hw6fn%3YI{?tzj{i6=l^TZCJZ`oBm1uo z%=80wG)%AjCN!twb&n@f)pwcz>!SQt6Ii9(;Du_84*o=($->6-T!Vl2-4c+0FC7r- zYIy&v70K`6BPj43-?kn`l%G_+A(SbLUw$@}g)y!SICD_at^qlB_7`wmXX^2OPWpX= z6LG3dy5+15b>5?i4LVb5V5=oIL$ou~K%JK~|F`3aP%aU7VUvj?S2+F=w%Ry8;CYb~ z4fexnI^4~!2xW5F(>=`@nLQfeqxQbm33xMr zOLO#l1%n-5`X-J{QJZ@(?O>+Jg+phvBaHJ%jC1r={&y|#d7Ae?9TeDfFVs^2Ry%km(0?FM z+b5tAd$^iPQ)XTd=Ei$=23ltX{t=2aha#195sFlD54hJ6(a0Yn(AqSxbu-ji0Y&ya zK6Z$-TIUDa9|*W-pngs$XChHk_^xWkskfnO0c2LBonrf1^cL`&`6Wm5td4K9FxwpWWEyIYNU&7}Cd3D3Cah{N8#C**-J?J)&up}E%~P9-9bq_2n9wgUCKIr05tP5B*19lM`CSyGwX_iU)d2F* zT-$~*xhlBv;7~3o{2bvKN_r^wuS`9b*5_{PF+OrRU}TA7{Q1KHt0&5YV^5lg1T3a7 z2UTj>KbdO=6Xs;9L(?2y$A^)$$+J@Si_8be+^k>mf7f&E3xWA30&A`bObniIzNOH0 zW2nb&4V2{V7ehJ2=wh5^a9ztULFzrZR$-hijMEa(F~+&}zJRld@m-;s=#W26Tz2cA zO&zqU#IdN93(~Lb3}v3-LG;SmgtqEzdpV-@p#3d}8*Y(Xb zyUG`FKfWzsQfG=(%Z>tgUx#&W3Uk=$`_6ZA4W<4tN`3hOfuC*-yv%p}(~ksZ`+*rB zdS0j&51nFkjT-_UzBPiAeOPA((%qS^GTy^e#u$T(gbwPi@%7emg9lWIV%Gn~Czc=2 zz%jb9Mvi-=t_+h+e~Z_xP7m~^0ZTTYnGfaou?RQZ%~AQze39!e)q zzO9QFwaRe@9-IjehWu|e4QQOtj6${fqHZf-$x?TJuJJ_%m9sME67ItBIUe9zZ$($l z^e*6x+I(+07zP2jQm7P81}ihiIbD z=9_x*>J4euh+i5rPs8t^ApOzw4&+x2e=SlcsXAgIuTM^*%k56W^d z+~~j!s}ehK!+7Y2sES)KT8&VnUO>$;q`Ur+G!JGB=$#a(n!x&iNr~n|P=rnrBeg1>C20#Pv^aS?vlU&S@v-C zI_d5fnok89M+M9TI^Wmdmos(fYUgWw1PQ*b@B|g8rUBO+EY=#pzZ%!-xVhWly-wyg z&}Y@QOz^ooi}ft>Q0;unK70h}FR$6SC~yI$_M5m2R{@I4;NNs)v%H@RGW`nbcy1ty zSwzt}hbE$Mk8D|J=F0~M23qe4Y{d-52&He^zyZ11A{71LI{+mzT2bM zJKQ)pQ1aRI$@ z;VyhR;?Y1umOK*5AG7m2mRIqtv39!DRVPo*=W1B3RR?vx(lch>!uL-6UcT)bzHJtP zmT#kjrXu#-{gtETue>~W-Fjr&%W1ejo@NF6_%qzaKAcPTkW3dTEWeOOqT`kaTE#!1 z`;OBKywDMh8hXd>wotB@9krY7L*8lzwwLlVUTq%T-2&Ttn1Pk)mK!gJwJj8+;|pQB z?JowL?>C>~Kj77yP=P*d`XPo>lK8xuC9kz-LYd=HL0;s>NO{1LK3{HtR>R6lq{UZ` z`AP?`np(#fxm>8n^mnVyN0lv5aShT0PJeT*Swni{TcF@ewIbl*3l5~U{nK>y%aRO_ zs@G+>Jb>OF{g*iN5aym%UBM1yI z24k9Ni6-L#a2KUa3H)Os568x(J3=k354dG) z{P9r6r=_6y;WURZ!U_^c&eoo3wow6p_1uu;&(X2_! zQF*hb4Ib582vpw!wg+n1`4~HQt5uWH;7HU~S2{X1)N9kgdW5&1s$7Mdyfsj=un2GX zzJS$`PrW}>?HvK9s#BsChss0F38m#(2ySVKr|XQ6W&4Cc6Is@_1{7pLvcU+?dj8gRxlzN|%PzGIp^9h`a`!X97XsU#2)Mqgvs|8T&f;klyf)p(oWFAhefR&UP#+_h#vAq267HwBl=rISuGZH$a*uH=<8aUz8$S=9S@*aPJ+#T z=p$<1%(XI-@Z@hD$VX5lryiRw4rMSlRzXfnv;7z!!4|ac$)`j0FlXz-9>koxnzN>1 zr#I%>?a0z$=LIBa>fm(~4#oIXZgl98BT4_6P-Dc{#%hw(232t%pLD^7IiD z{cu)kn4*(0C~EQs4zrdgIe0azT(it&ia)&#S(+==t-C!@@fdqs(lYJmBUXToKgfq~ z4$R&eFqODig{pXzQFuvt!{Ul3`?ClgTxs*RKo7Oh;aS2sgFcr?RjD386JJtI1KX>B zxnZX_K1ze_@ftg@D1%-LAR*F;ADX-B%V`mu4oOn8$`2ADTd}&j_ z+LTIdqDQlQ*i!jPGnC~LjXj|dzz{okPGVf=BC9*wH}bq=>5RYHGrKC(JU*;;Vqm5L z#q$~u2TBBWa;WxRfmZ(ZXyHmH#|EaS2M#zUaHnqta|UyP;$wNTZ2wbUcPA=u;(RNf zb@^0_6_|lPkvSgl5hOE0Y5w`PK;u9F3-A|jn-27yGzS-P?PI{vf%?G#@|E{g}F?=5_t74sJjC_w6p(U;Q7M>E(h<6yLt6+nokC_sO6M*rEc() zKF@36ES>pxc81bH`QtaW6*N(A$0N6y*Wi`svYTwEZQw2rpv+fq3{^_%pAR)es`Zls z9Vib0v`6iy()1AR$vZ?m+Knny4|D##-4<#RuyJv&=>S~jFv0E&ym!fS_7?1!`{qE(uhp1qSEPJS$)sn2Pj=pXDw+ zulz7})aA)8vCn-p)Btzr0h?`IAMb3*e}~sKiEnk=KSiHk;eU-q8@$lyBY`1yv;njK z;oAd-h$Fse@U=jjckVZ7($$ikMt7Zyk2ZyJNzLJ@{=GEYDAEMMJK(x}<^rhMTC<2f zdi1*pYQh_AL7QrK1kS~_oa?F4jV9n?tJets~HgI;LB^GM?+68v_o)N8lMuoL4u8ntmqW)Y47kNAWq6lx7i|Po}AD z{cXB+Dcu@h7%(Dh<0zcxS$|+scJX|!Z40Q0D=@?XD&VQ222ZZdPWYk;0_|gxeKbsW zy{Ij~x}`N-(~{xe3s_X^{(!u9opVIrcJUw2@gH?Q_x@`GK1$|nJu}UgqS!xFkM64n zlSwEgvmWX9K2Ouf<9NC}xzCg5@ZN*l1Ny|puY|IEMg6Ox@~*1tRhASya$DeCrf|qC z_QK(zI^N}l2B!yByg$&zx9cAErmHTrY~g?FauW395h(h%U6x2>9z}-{JilRY0!&nD?{t(cs-FW9yMz z`-Z39CTy>Vioj(99?siQu2T5onVeD+|8iWlmhK@(&87Sbx$5b}1u zT&cEv4L&>sCj5sBMrBsS-Rmyl2Gp0itLho0t@+FUVLor_F;h~%+DcVhZN7-_)wricowX==HTzinM@z?zY0`8 z>HNrbU00@7@PIk~S5CHhgPnAGaYw*`ulIDQG4D5Egt!{F)IB(0{5OL}Onrk>Lha3q zcTnXKGaz$XWg4VV7IV!cVA(2pUz#<9_Zoeh-V$)3V9Hx*gU|A68sgxXP*)-DSC0*x zS_{<93^aIWkGWE0t5&7CSPyjV!rMX(=~4YSZX6$|y)$41$-I3Vr1|Oz0b^i~b@*dU zymKC(YjERT0Sgnly-@R)1l(No0F3Bi$xXty$=3o6VgaWGrU{%M-SjYb_vFSQz*T`h zT(el_-@&z=*U?0(W8CZLhCuNL?+&$aO+YO+@?8ffM`)NywzrQUK@m=tKHEg$f#|30#sXxf2Jti>LS-zG$FHcwJniJ?Q9C`~H;oQYo z@6D&B>3rWs%nn^O?PaZ+TM?J&hZgUiNBx=sq%+qxuUkD2U^5l3w)yZt6OGtwYhX#C zd@NM4t-C|XH5Ew?c??KPo8fpLtX0E`k#AatK5Ouv`7hi5P_h#hr2d4&F*pX|vjcuXKvz~*DtRXP{ zUPEI`AWRob@gIQE)y@r+p8Vp<2Je-8TbRyw%JVb~(E; zU}*1ftb5gjEMc^8TX}4eFT6&19@4Kp8fYkPyy(pKfPsytOPCR{Z$s?77&eM&Joy4_ zmm5W!2=mHXJ|3jUe;7Q;h&$l3s|qcc?ZnBGzGsv){-9L_YTB09PUjlm;c!yThidR0 zjVrl!Ex>n_G&2Hq1))sNj!APhPI?7TaiHJ(xKNAd1kBsEPYh-1ppV-$=i%XME-%|( zd3qMF=KSa$EtxNJa5$L9pUM~gcrIY#qgusX6vT?@F|NMH_pTZQ`tZOAc@bycJUCGC z<^6{P-9xzcmj!CjF%QT8)YpX@?k8#T<$Kb%F<;)A2Fx)ozA;oeaPsU>o={g-B(g|%dnsx~Un*YQdf?Gjp=Lf2 zsC_zMBFb!vb#A&yOAcKEE5&Y~$>&_AwB)eAiU0i)*H!|`_sgNm2_+0MlY0UhasQxD z)x9)t3h1R=74-PS>VaGv-x*jwmqaoC0VB?b5TnJaYn}}CA}sz3e2McY-_*E$^i;0( z5T44=I5U*)+W*zmW)VdlQRw--Q36eT@jOc7HFaa2fL?tr9t6X7{;Q8rf_22>`j*<> zI+O=!5R9v{yy*OClphZ>dq3!%ndcm@}ie0-gE(KDFNa+1`dtDmQ<*TUE-y>u(dxoBtqESfyIIw3H^ zuT|*t!bt&h!_Bo^b0FpY3=QPkEbk}7jv|aI%YZzfhGJTiW$JIpqxAA^jHy)Q(Q^k8 zhvORB-g+BL}74TN^TH}Io0|( zp%k7oSLf#~_~(?nhCIpd;wpsYU6P8-O{agWn>(rWt2z}1anv*+hOickC| z|NCg5^GIMjCOJGUP?Vt^%B-K#DswPi*U@h$g7>Ilck5UWVt#zMEjOI6mO*YI&1NT1 z`&PgOZU;UW9sMFXKHR`Z7z}%aE}mNA>b2m&&b_B zQalLd1uS%m6lO6=t5p2Cs|S1vUG2fswu*F1DA#c;wQwY!OmnS{CTch{uud6`E{3`w zpdDG{K8L=PJ-qjGgNK?WG4|=Am;E@zZyPOHRpxnef(W=I6h=q{AP590 zFKOZnprQ+eJds2IieiLBkSHd3K@bZpL<9jb$skQ31w~$!g#yZVyGgE{}-Z`b5ySk=Ay(|ox9_3U%vp0oG!wx9j% zmxF&cESp>qsz~21>k}#VXvfj~xTY~nG{%uba~^8W|5~fvw9RF(Eqt-V^^(M&r8r#* z)F}Vp*nq)F8|5FOm?ozjLEew@kF4JfpcU7;M}ok}Iu z#NU94e~M|y#FCWQ!d;s0B*-zSeEZ;lgO#pzw$Yd5T8DnRtVMj1-(4M8IWfk(z{=E{ zo?0hu8uAa|kfG2VmX!6PsCVfcV5jc&A5)h$D%BVV%t<#t9m=n!G%&CsEo!2`j+l#6 z<=;GF$MEQG-XWj0Rexef;KWiB>FegU@~DOqgfC_n_O_-J=UziacdQSXr5k9HizzyB zU1rHPr8uUN4aDP9{$yh)7erL>RE;$p?4FgPm9*EWKf>Kh0X({$q5o!oq$Ss1=0Cp3 zUEG|>m3^tzc68iaT3OY3M2c>lw-++?GJr4Rd0>h6>TXsIL#^H#a2aPuc|4q=qlpX7 z4JGRiP%(*AU%97&_mT}A!%nu{mD;wsL}AkVkqZv95`8BKjAq&E;rUU16ITSx5C(~V*>Sl zf#%A9gBw0z{;g2vkqjlf6wQ~MqdHQYQb~8xv>ys(cHwA$=Z$r_Hb)t1UT*NNS$TMm zqqd{zIy^@;sOhU*)f5`@ZNx3hf5y1 z2is7syJ42E3Dh~y14&^s{$U( z;gp|YV~c8-cv~6AyMe^P{DAg4vi3|*bGfBfTXJJe_~sa_^txxK=mcZ&wg+<;+c!vP z>-&mO%{3b=*T>pK6=Is=zm9MlnHGRAd1=+nA(8C#4xUjNGui>&3^`M0| z)o@aoTgmFg6r1k}IKAuysIH}rFY!@Z4F~ZNKE>2?^Uf59@SufIn!5saK>edaX-s1z zhGgH6sDt5VHv z6sf@)dhCJTY=5pD0N^(Dm`3_#eoIR}H8-3po1>>1qRYwcb(ip0u0l7kSwOS(b!y3Y zks_8iq|s)XOkNE6H>bOPivCq^0Pwa(^?D0KSOss-wD9KKZEpqM9_VB7#zVGfjP&h4 z%G5q8P&T|F8FkWZeDl5(P56!Rb$zO#NmlRXcQcAhf##zD<<_BA1GwfSW;vIg#}BRx zltY$L`8x=_bOkLKYhKho+1~jc-Zp)l8}L+Dpu@A@KNp9$h6ehvl_5^S<=P{<-oeQM z{g5k!8cQj*z8)||=?VjyDE6_XeD# zp8haY^Qk}&bsS+SCP!z~-pIo_sxooC4|kDyiDXm|#j_*V9Nv_byo_A+qGh|(wJA2K zntOuHn%2~1L^Y;ZgQHkSY7UdlvmvFa;e)1A1{JTRcss&O(+TGYJ+>hpn$cjy=|;T;2dwR`D`jK_~fv%B*^gQu82Hf|q3 z!ZjYC033&Qs9%fv`N0&0w~C^xPpq?bX`yw+J5mj&=nNN3yy=UF)YJ@`?QkmDmH2DW zL|?fY9d{VsL6$>XiHRS&7;xug6a7;o`m}ATCh`Du(p~|QQzuP^Cr%>$npbi1x_>db; zvif5aA7kDz;wNPosRTcrqB~!zFF_$%&qL{+5X$2Q=02H##aMo%{qlH6%zk^otlWekc^I0jn{>qNt6{e84zB>FMB7 zs4D|H85hO1?oZJLz&i65KG7VHxxOXjF+3_@;P4Vsc;>4C`@!aMp~{gY?+i7X2X4g~ z-GdIfE4fpLYOW0|W3a#48E6wdxH`Z6x=_P61$H2rWn+dDLzPYZ--aS0Gwjwq%uto~ zX9F(D9X47d#kW9p1I?v?*)r!?S{GA<#S>Vp{W{mC_cn^O zi>|(syRJc7Ia7A3+?u;^g{ zejH^JL6N%_etB-FHoEKFVu`p8cFeusqn><9q6&15jrC47H&`Pt|s*3URHR#3? zmDF_q0I5#*3E17WLX?FQ4a~WRxSv7Xtu+A;&9#ep{Z$~vQ8-A>Ctv@K9RYjxwZl2YD~xC@V`Qb<|y2Y2L;L}Gcd`YE0hyLxvs^|+G7$2XY;#Jz@s-hsHjeLgw{=v zhfBSu*y>#;2iyzQx*(LNS3iY6ogyfE$?Bp|^`n9I#Q|OE3wuPi?y+2RTrvF$KY1`< zrgw}ijqmNe^r9blDAzpV*h3ks-%PQGdKX!43N=HFesy8xD;PuF>qq&qqD876**L-$ zW>*Is&91^KW^W64fQO4rTqeF1OVRIos$+$aM|TI>hXk7UKp}H?x%3cnYmcL_zjQ2a zr`bW=Kiwm4SCXH7RIa(1O4t0HGRFp=r#~7XZl@p1I{kTyc9q-lr?XXo2GY`mn#jXs z`c4Ee;sG_xwzqdfGEe1auC7_oAuljC2P*SM10g+LC1?PAP4ji{-c zncZ!tgEz0-!5SM#W`O0HO6+Y80>;mp?2n@#oH=}jnfs?21Bkf>JgJT09g4upHeSoAj92b*$%)OJCFMT674DCyX z@4OVhgE4iGk^3wB1m#-zcY}6BN9t6{kFlO1*3&{uoS7PbD%9kg0Ue{e-F1w5Ld|8g zF?UzCR_F;$r%vzW21ZgJ5E%a+#oGc7kv){6iG6gB3}_$MAtOTRw-4gbt?I>WK+(G*phyI_;KpdLMh9%OiVD9<4^zkAbhDXzDZ+Y)Lv4>amP zeNJG=>+YBY#s>yw=&47L_TLh!UJ9tEhKRm$EqYon28O)S{eIKKLJja&E}HTXC%+|W zPQevI^DA@L;n&h0b`DO-wP#?MgQOOf)P#y}r+&Ln2&^0(;r5alj@wa@XYV)`(s2Cd zkONeGtgFWc+w)_;GS=8*N4mZNUT=!m+lbe58o~apcm{$ZGc5LHCnLA%Q33s$J=hEH zO|cAzKN-q2ZaojRAfV4W^C|w+?J5&I$N)X9&`yIa^CfNFKZ@yCcOPCfKw8EiJGO?J zA|6M~JD=pn4FPjxW_w&TFu{jC`o_RknC*m-W68!z6cy;UPU zf;v0ksZx_RMGfq0Tzh-q=LqV6gDGO&sXA5GCw`F}p2 zfBOpXU|`w`lv#kqQ0^0P+k>`Hj()~W-FE%AC|rfKW@_Rl{sa5ng0n2&2>%!q%r-aT z(8Iis@uUYuopE*UmNfH~p;kWi^zK_yeBp?|k8cdv^{xaRO)RfEB;d*^=ST+_Nt15O z(MkIhesWj9Axis)p-g(to(g5;@gmx(aq3wOI{x~oTw8If=CstNKgCtGXzCRxm$`!e zx=`n+n5go292mk=haL{e$^;MQVhX7tuV6_JU2D=?=`72!F%*Bqje+XTlUJtlUXS{C zB6t&3S%BkRm~BRL-?Ktl-TyEOr7biDp_=G{F@w?nHOS4r?0EjyzRU#z?mu!YR528s zZ4bC~%?y=OI8LA#qdVET<&6AfBMiF%zp>970$S)A7}4jh>C^%3&=1XddH1S7#eX#5 z!~V+WrMe;Xy~%{hEVOLK=bPW zvK-RWwI8B*Nx;qi#%B7Vy|IrTFPFv63;Dqc=gLdeOt0aHxd+3XBPgE?GSWIQ*UJ1p zuE51w6+HEA2AU-$k4nk$@1TD@9$HgB8`z+M&iggzq2{Xt6&}fv(!zH`>4Kcr{?@rE znr_o6=m30Cg;Xck223`Lt`1dyKQQ|NfOQX1sR`Ky=lsWe1n->4@W|Y_o~pTKX9MlE z?^)nlbvVU2pc$xAc*ha`uScya6x~slb1_R)s7&8p7fQ``&*!Y=x|D3|T+^StV_6p?u`c9{L1(*ljl1J+a-?G69R=cx`2Rpv;)0d-#B8r-H! zO0A!(`0aoOyKfTEN6I$d(lM;;4tlr^)HZphhj%{;E+5n|CEbF07GO>O`767VX2*wG z#+$u*UEs_uf%ZIbs%{Q;8m4sDhH`lQBE3ruV@J5=`n|vj0h7?x`$Ls|K&wJE;P`X` zi~=T2dPFTQoGl|h{M8F52R!=OAzlXu>INZawWbJV*bR(76fj?6hPVS$!X#b!oV1op)wdx*RHj=(RF@6Qmx>=Oa! z#TECz{Ah}0rRSyGeKOGfOkl^A6gN|}`}};U4)Pe?9vB}H*k@zFk%RuecXx^-39eUs5=9b--CK8@QTd#K4_iu5Z50S%57=(ACF;HyHSQu z$UmCu4s&d2uMx^HLk~P4b|pSFf!#yM z{|0B-c{osx0l6Slg``U-f{+bOyGXkCDvCYeHNa~Dq;Ja1BkqPYVdEo#<+lc$ZWwP1 zWsv_A%^D(0qf!qtHRClz`;9>T(2cHTEB%p)EuE$5?UkICOZ4kQ@{|5Of$FA!L1h`P zD-Q%^3ezyJg-}`urFUDv=?0hK*rzBDxAguPQTXXlSF>z{?X>>yKC&?n^?$(o-3x){ zen1_VogUb!g?=EEA1@dm6w0yg2+8!;2cCO(z**_xd$>CcbXEoS#xBicmUDnG&cWBX zh8xi?M@Vamw8jYUiGwNPEK3rGxNZ|wb+>l!LMSD;6sq<0fVMh%G*oqQ!0G-?D4Yue zo#&iAmZFPW%5sj=QdELBFLL7>z^wrfhBjt(=uv_vtkyxMAN(!HL0^??WpVDcp`7|~ z{aOc~=vIvh(jQ$K7<`Ir*9C@G2VCXdxiXa7-28IFleeTez<#IL?+p7jmGjFRL-jsM zamA7`;x1aU9|~fQ$MlYif+uLn?0x{N9qk`5xU*wkeE>yO<$+M`T>*z9YtIN}Ffqc2 zfA{ggv#$=6M2}{gQaRhpME3xF8KVM*3kxTO8Y02!Eb*Yfb zWrgPGm3^MB{&N?m=qT$m7`C0it9zX!oSc_yOYaC=kE7j+c$!}dn13k_6nS(o)8;9G z7NQu#`;w@IyM4IpeAN8rQ0K$g1sH2w{0myN8v`581NypUjL8(2*^0913j1io*bmZ# z*13UV8XpX0Oz1Kz!_bz^I+UN_v>Xw*$Gxo1r$rlJ_UQ7!U(&Itr=H4S95GSNXpz(I z13Ll~$${8-kG|ZEzMM(3E~i-z6+8*>pRG%Ai8`;P2F5RIp9*En)kUSug?mEwkRO}h z9o5`GrT(}4?d62@0s{5eKv?=fT^oejjSGL}vT0sk$q2O0#Q?3vP_vH! z$alkGfs*`zFHS`{O1&P_^@s#R$tkuv-5eMm!3{Zt4Z31_h6=2VqjcAQ0mFv31$4+O z{T$#OzI33cpjJAK0dJHtibF|frWDd9>QzHvmJlBNO#vlsqOQO;oQT!277B< zz>Q|WPR>|)d|`^}cnd~U=kpV|F>3`3z*pnkoRh16Gn8Y*XRqQXmjl-Z99y+u$pA*U ztJb))!Yw(9HjXg5b{S6DMn>};nB09_s2|g()U@)&)1eT&bDE5xN;o}3`p;_4XNGe0 zzVo}GT&-z$;$GF(*}3M@oGC2nq7nURU<`AdDl`B5{KF~g0D5p}8ILr?dWNv6dP~5K zCVDADKV#+k;@p_2Ip|PXCxeghJ32l2cUp??`$oWCWAIQY139}1m1`N5dVW(tPIeCu z<$|G-{h(iPCb)AQ)b|48-wjN@5A_2mm|adx!268p9EQsQ^9Ng1LIg1RRzR&A;eyIE z`F){GMETVKBLyS34nol*8L#~aO+4rEz?N4BEia*Q+G7OH&c;lrT}z`ux&JDBprtOF!-Fp}|edQLgF z5YJp4S00GRBXK61Lk(^SthzlgIU?Ycv(qb61Yo~vLP(AeznE*i9|m4_<`it#|H=E4 z@tx+D#t5K=0Cb?w!{S|A0(Jh%z{xMrIsCHMovh7`{s#hE8-a38!un8}hTo6sy*voolr3L-%*#@>$rw%UOp$V>&=0|34yItax@J5#j3yy-==tW!2H!pMM3;x+{$Rj z@v3fa{WZBeK0NT8f$+7VS|1Jcur0?z4qyG!uC8xneD%%TJ^f04^0vTEjBccIZRgqz zT)QRkJWg=-zCg7cnBE?6Vb%{fa^p(@gBZtAB}%&|*GyxK@s29y1{LZ46b+7N80_Z% zug6qvC-?FbGE<`MNzZ0DB)y}PVPP~MK>S+NX0xo#T(WHRKo5& z)G{7(iaHwmETN8$w;W*Yegikq#K|5_?4yZG@8#NwfeM{$qmv#MI2(rAwMP@5-skyghLJ$$^zr$tz~VyBL?L63-Z1xG=@pQecdB4$;mI z+WB6zbAWb^4h=XXJ3&u(qo*yM5t`_@Y=nwV7b$)NP#r%UYVZ-@p@5mE7t~I4a*9q4 z(8=8>Yx6e)-QNn>d5t!Onq9?>PXzA0JTO5;9c#Q7?Hr@0_Q^9<^!gNC38v7GC^OqmF}*@hUwU=!mN6ZY z)-+6cKffPE^weJ53_;_3K*-v^!=xI;C}QNEKFWBi)K zujX4q4bdUT>{AqEsxmwj%FuKdQXL>wd!g$Q-Usw5$jI6H3YTGbT)wOXCnqpb#`X>g z^~x_R?VoFAr_1-0zL=sxk%78XOrA*f&-Ylj3F2Shk>CB4+M5onU{edQQYZXGaE3fws)qF>w7#+1T z8B*cp?b&DO=?$>`C4OgsQ5FMSm7>W3wY@A)-Pj8b$-kPDs%{96sP>wN>&F#zJZo2H(K zxQEnWM6=462_~ALb80~o8sf(b?89AZHNn98!@w_irSZY)3qu+2YAMaHq}Y5gP%Q?^ z(gR+pxjaU{x&wEk^B5pYQ@hSUQH7mXg4OI>=!y0K+)8faO>tp zpN2Wl?FhKOsjsI#jJv2=@6&<)Hv>&-P)-_!_jaF4M}=BKzC+~O*^e6-(|^lfNic24 z=Xfy8>@2RKLpQu3(EKjN69XNL#08TtoE>U2=g$u{ zr1s13uRbj>fr%z1+E+lq#0t5YD)BJ1_V>8)yWIFb)DNJp1hAu$62SX75c^}A+TA~( zlPRA1t`tXDPnj`3GStp90?Nbb$ID=et2=hTCzR_z&Ei;HH!&2Rej#_uxcih)a~`!8 zp7vnp8{pMyakc|N9Hn@dj!z!=hXcI7JCJ zz+G2?yaZ2gkh?t8wI6eIqX#>C7=(Ry_rsx_qH_^ZIY$^4Z-&Kg|1);{v&&O-eyhGF zltVK6WeG8;*B>7;yQ(1U7BCIdB8K zdg<|iPNsB*uw;Q;1+mpm14?|K`qHBqU; zwGd@(-eYLaKWhZ0ZwOSVO8ex%67Svp6^fSxs=Wgp+N+oHy(Zb54pBRO{P8@mi`LnW zHtp#1y!p9YO%r$x(kEVMSg+C*!jN;ArC0FsI!w-t=EUL z;;Ou3_R<7QclOp&aj>uF%FR67?tuHT03c=q3P&@p~@TqVszEo^%sXS ziTdm#p&VX!(B~$-hRb<-=(AJ0KfR0_bRA9uI_mhhxU|v70**Si;vIO`sO-&oHt^`>pP&_-Z zl4me^=J3l5y%Ux?+Tp$VU3-t&SG;38?{JaCb2y`Yah8*Hfj>DtQ1&^@LoF*K#N$A= zhtqN(TRt(0cs_@fwULn%`knWL>Y{q3ev?qzTeUTmL)F4XecA(7RFhlyTjACwk5_~`3XX1)6*8z_Rtk0s@2#j7AaJ{IpcNgKg-`-7=6>@8REntdkg3+~*+X%Te z4h}dyUm{DYHdSs*p@v@vut8H?-HV~n>;{^>9^siua09l&dlO>Zt&jb1C?#mnVG4Nb zWn9Bd2YUyUpmO_tta0|4zz)RI-5hA+i+e`|p1v{QG)D<5FvK=pxpN)Aac?N6TTQTg z=5p()TyuRycaNFYn2=_=<)~2hp??UUt2+X2|5GSmp=z$canLa6r058I5Mr;+xZI#7*YIymMC-K4 zr*M`omM*)%Zb{JyuV^Q1@*_jfp`H41{j*sEM|{?51b1CEsfY6`ZJskW!39<5pUZU| zrM|c+Mb|P-Xkh1{K=~rCKYldD@p%EGrS+)FR$o5iceJuk6E^abU+ErTr~3mI_jqrk zzUp1M;V56tw&L5+U90hH{`VQ`GDbXYUbKL>7~m~j8&Je^GdF19t<-OfMJ@62{kXR9 zV8GRA*J0;MrX8ZJrYZ;8@;g`2EL_YDYOhr|;I%8NFmb2Tw>P;<#f_kJ3g*ZCf>8bK z+-TE;vS3Z|XlgXZe&5l%(QxyJT-y&oi&x9%RiT>7V}EWO0AL@o#B^`X?_`}L<}=~_ zk?Z)$mOyhJ=<}1ZECrU7`E$f$By%#4x0@JV7|O|F8~qGidx7fqsO}Z8y&Q3j1g9GV zD;qCnhosoMC(uQz=8>G{7~htn%$Xq>7fvYs7tow0V(jyxhE@A)DEGy*xoZt}^OM&S z6t#J!gF@reU(wXQ3i3s6yq%vM6R7Dq{q#p4*$z(%=s??xq1uN5_%H{GE&jK6SHL;f zdTppVjL>t<9^wW(sCNZ)Rbv#S1&im@*#m+!x+UL6H4Gsfe{_A@6}h(A7u_F9Zs;c+ zL)g)`_+6{we?Q1isDTqa_Qckuu5+zyF84*}r&up?&3D)$ACLO%90t~4ema?D*lBWE zb!=`+@x6-yXK7nBuq?jeDdp2MJWAn}mLHj79|<;(f2?$}K4 z$^7_mn$V}^`y*e4w_X9joS_=Q@A|yFrsz_s0oVR5*Iei8?^d6Y;y>iZP1giGIK&ii zkJ`I)+*O25x4w}IS?31-;VG)q5PS931;#x2XZT4IoZVAHIj7mIL%Gx2q}UT@rD!mw zfjNBrcW39CCz%Z3!B5fMnnyd7_K5s{_%PRS>t;T$C(<&nx6&It{79~S7Lj!x3ux!9 zuY@w97%hhCeK^ql2G>3UAlhd&(@R3RWv7qP84FyGpf0>Tp!A)FsqnTHaZbxP?3|D)VS=ZgVMM}zsyHnm!f+bh8RhiU0UYf&`#GM^zIE+?;mK< zX|^z&-mZYd!xvCTgN}<}geid+(01pZH2aHTgz*7F*sD7a%+a-S=rBHZ0mowk(Jrg| zmK2@B(H%aImMq`|-KVr0$(X?D^P>5&+{KRCOTgEG9f1k&)p=~0hZ^Uv1i1Bqp<4Xg zMpVxb)}-vd_}$%CaTjh>O7Oquo7`Pkx+f}BAzCGU@;sDD;|e`!4gzMZbwOh|*@Tli zH;sJ+6Fcy4gd+V7k1}-WuL`A!`_1-y5bgGl1spF7aby+GTR9xDiFhV^RJ2kkJk&I# z^3Xv!*Jd#5u*w|Xt;_jcjmG{B|50HTQ;Ld0BQ_&aB!k@k!G!^L3TQnwJ;WQ23oINT z=&uQwV4t2Cs>~e|LJSf20z%do51$Ox#y&o_CD21RJXCe^o={E{tirXpaL0uwulZn# zR-<)MsNuyF-x_eDz=>SLfFYj2eYm>A2J-E03YZ6W0PV)x4o$7@1CZtD{=nomig5BT z;lXdi$zNiUJta*gH&I=eeazkk1xsAIF+^@k-`&e&db;k(fhAhrKR4ivwjYUYoR(q> zzqb3bfQd$}_KnsQ_cg(DjnK&s{>s7B9N+GcvCKw3k>bmgizXNzc`%HbyC2hp)yT*- zKrd34`6Gc&b*kKd4hFaN(WgetRAGT|ppTYZ-P3TvJDjR<=bjJ{Cr(3}F zqU}5R35+%V>rxjN-QJFid_UDtGS?u54ozsI&vvBN-g&=1wK8tsk4H_dB&OE8Akcxk zhH9-tLpd}zO;tiBcv>AEus5i#4i}&TH0C@a5OM&Dm!2&!+jD z{`ph%xs5}q;i;kcx3A?I+)#Kv-k!uA@CwBku8cYF$nU<3o6^+AwCEOe!@Ik1cg8VrrN(_+~4f-jcf}YX)~gy)!V~Cs65BaXh>0fGf(J^M8>V z^pTMZa-3Cl?${7Q-#)%Lcb%ME$*9ZX4jMLD3^@4F`Vu>UYBxB~Uw4LA1A-(F>f{kl*UYHT8)Mx}aitwJ#k z+R7O&dOcjhvquIVI3r--g*BITZbsKT=@*Q-TD)zxZ(sn|etKNs!}L97_(pGqBC>QI z(V(*0qgqSI>YhaA9D! z6zCCi{de~`O&-nNBhbGg_TjFX*(0HTjkD}&`#Ye}M0Ik4cm|6UzX99|AT4|Lk}iKJ z#d4szpicoz?)CVL#&lVT7)^!PM!bl3>4{YnKLG zKy8X}^l7eL4d76ES8{hVpmyR_Zoh>hMq)*C4AjjHk4CvRe|zB9sKq@9YIta%%%#FVhfBrmd8M<0bDq4Fhj!SlQ38sFiiJ zW-yk&n`_-;0L;bJvvbU)iIFT~A0;T)6<`n}48k6^J{anPK$+?phuX=Y)uF=TBNWk7 zRrJ>=t6l2wyimJQII~+Lc(wa*;F^F38xK^Z@1@xNUEuq`4*)c0WjCeAZae5w1vc)V zyXBbY+d>VHY61A|gsMe|ca8jj)Lv1v|MVU@~=?Z###5mJ*vDMzTz^#h`XP`SD3FYA85F}k+7HA#@ zbxB}=%pIS*^VIoE&+%I6z@5!)y)D1%!=c`d{0BB;P&vjSo5(XMHnPY0yrj|;VaT|j%A6Dd^lfODkd*N5sL^K+2-b;w)`=qhPszKoFF2RT67O)=Cd}BZRVo@iM(|Fc_z79ZTYe;B<K!RKHS5hj?MyO)l_^|uW4HykKsQrf1D8j#& zJ{FMKvRLVN;MEvjedi5<3Wn8h3N(g+J7m+tp_)9|6lMd4d1hC&6sn{hV3_H^a`4oS z6eo*ZqX#oLTvocnq5AT`_)`J%#lM6v4noYFv}DP>+=UxvqaL^|lzefJ{u&se?LP}6 z%1jpxbV0FeiGPj$8Ksq#H88^D^2xZv`Bj0=wSneG1GB3GP8(16hdKZ_J+K|Vd>l7d z4#$S~e~V}E$pa+ls$HGTgl4&f~IL$>?$D~+eZ%VKOpIuIL z16F3<$8%jAOx2&xH3w4;Zq1>rJ}TFCP&JbrcVHT2eg>A5Lv+@0mv^Xe{_ZjR0WX$^^W9cWYO!jqz93Zv^kxpgzu44fY9D^YRm00kailQh?fby@3figYWMS zr7^uNz&xbd8T(nOZ16LaHGUNxA7nH0D*2mz0Eq`HsU9=a<&*S-q?M7DEBiNc0Y?H z&yEh1ZwYA8sxb>H zbA1Uq)IrxOZQ=A#C89vhcGm%?oyG9JvQPt# zo5e9~d_}x*4^rqX2L5M*4$sE@pAI^Zj3N6gA`cTJFN-{WnBV!C(EoAx;j$Tfuohx8 z{4idtQQ#})fi-aVHuTi3TlTsGJd(+zH7J)u9+&jFu71_~`0?!ly>0i1Pzz|2lcG*! z7+|bytX7+LpiK=V{X9C}gwOWfWAsILs4s~w+HX%E)LYiH_lQRI&Z^-c3c=R z0p{#YgFeNSw}Xb3wL-I-PXu&x6$-bRx(um{A6ja_gQ4%>p{w@TV0BT74m_Jw(&|nz zFgq_#y;|V$?p|^Bur!)?)OvoN{49pEl1BSEx?7{H101{y`CQqm@BE!TFK>5q*JOVW zC)iae=%4Z5Cl3qdq>5knDXU7Z=Gv9~n3g-@GcDq(m)4!!y)R%T-TPJTN^wMWPl6@R zaQqa$46#A$+&Cyy`(509cc9)%aTF+?pXwT;-%52&DVu|8UX|h$k2Jg{(7ZlSKN&F2 zwtm$;TzewmZhV6dnP}&_oer`=)l}e})aq&2X-eL7f_iYb_DeN9B)Ca6%w#!NKE_3M zah49q5298E{(fu51q`Og%85#F&0ey7FBH78gLD|whF2YG)u&d@Pfw`TKSF65Sc(o* z4f`Exx~K}kzp}(*eJFRp>!4h9;B3nr)oW>kFxI&uhX7_d&!L;RkAC04X5su$)ncIe z4S)u^<9~QXsPF7)>M=C6b9kUe3KeRreT=W<2L0d&|7={WyD=^{8{pKNjTsz}pE&L0 zMC8gCM;_dO(u|J^yaPtS`oCLm!Q=fJiko{?r1`2`)83qnFibX*aSHMMi@9rpU5~kP zERYerHeK6oBcta10W+1pqj_YCp7F7Yy4aoAUTtt;ORjZK4>S?V_?SQqpQp&}Co-0r z*Ix;=9}Em(tV#U4ujLvHGxRGtMtaHNom{&OV2EtuW2kOW1LxHD;~ggBs^dbrYPUvs zt_>WmUHd?cH7<9>@{2R{F4+?1{dd%l8$u(Cqn{akj*h{q1C28GDLz(@x zy(R+YxA2tP12%f_$xy?40v(*bNoY@9(^5Q)uQ@TiuLAz{h%kCmm}$x zb8V#qGO1X@urAtOhIn^|8W8YRPjL-9a>)JS&7oYQ-yP6M z962mtza|G}J3{I7H(V8}>=mT%alor+yLvs;*7rJrT=CG8Fp`E3z(@>4+{q8 zy%*q>V;JV_u%1S}`VDHJ^W6%Ep5;YGU(MB_?2{Y%H5y}(u+lwI#}dJ}FACLqj3T^u z9#)s;{NMt*R^vdY^T50gjNp}<>KxuUo-t{+6=yV|8ZY=z+FSGF;kLjrL{OzG`dBDC zAbZ`F?6kGljg(k`2FmO?CbWxInlu?w1G7v&=WPp*1m}LYdMlyuU3)yP^SI(Y+|c{YM3!fjNe{ zc17R9whV-O{KSvN%}4wMy>b!919+cZsI6<1Oc;1dZuhuc(|MRQIc%6>0}t$E*hja9 zD(US5q42=};N*ZK3}^7oH+_Prz_-m?{B99A4LC1gWa$9k`9XbHP0wUC8VB&Z-vgfF z8qzl&`ZkR@jP|~Wc3w%N?Szcc;qz5;2k-J|PN|uyEQSevK zcLt{L zWrkV|ZVQZIj(q9Dk|`SDl7h`23{|!ZXz_K5HertXIHSD}H=5pnG6Q6MRa5*M+S}h2 zuru7J4%G&HXonlFM|UC1(eFudx{A9P$pkBFeKyd>K1@LP)d2IDo>b^qvPa9y`-Z@QlfnC2Ve8NQ5XaE*gg=UZultI@X7-X_)Mubj(i#(q12sZ13HWDkp@_cp(3dV<>gZ9ZV*@U$a20D8^;t_7*xA92(*jPAtzHbJ zmD!=Wq{V|_DAhlhIp(!dn%`T@StH$!c`GB8BVIyj!`je*f}z`^6m zUkIiCnQ?F__24G1p^n$wADHYPFq~&(BDG4yLUq2+s+bV$*NrDF|=Y3=EJ_4;eYwn?4q*jd=9!EhM8ns*gZD z6mZmg=9fb`tL4PQPp{%G^0@Gtz;IK*MUQ2%5khHi4wy|@Iby;Qy@Pq@NqYD4J2>8i z*#_H=;|(EZ|YoAUE8*R zWZFjuTs2hF5ll3ubGczqbXur6^7R2VLNVE(QeSV?sMU;?{|X`3$g=f~K-<2Nb`1Ep zF+cgmJh04r4VdSsfM)98Q9k>L8h5RZ`Ckpkc`zT)NAva5C*Dxq&WF~pN`0{-Tyuwt$I;0M zjTr6<4B$}b@qlBJyCIZH7f@?Zf{X&Q$!at5g-}Eh)PBq$IUf*8BMJ znSuKKfuaH$82{1SJ5bVDiihVZ{iQAZc!8hzWK_izx|tobTOM0fdM3o!fwBGL0$1=} z&%d9p4dwCX;}b&pMZlFc`7?}ti4bRSDBz183f04O`&iG6f7?!n>!DgkJo=oKQ#XuX z+}c>qUD%i(S2qE$sVfiY%GL2PE!Q0`_%Hq*gWX7=Udq?p9%c}!rb?@6lc_Nj= z;km}Hq_576F7j}s+5c!Lb28<}D>qgsY|FDERBu1x?Lr_UitTz3pMr(Xj|yznqf?j0 z>-k^QyA3z0gMfDh?0d?jz{kM1}gfO zxWPk9e)rx`C6-4r=2fnNows9KPp=Eq?+JLuLX#(ZSi-6qR5vid12=yw;MBQWChVS! zeOwl=d=bP%Zf$~7TB7q<4>xn`z(`n6C!x|8N- z1NI-DZR1L9JBL-*=f()Rxh}WDBpreGcx7`rFvRgpzr~Ha0s~Cfx;#w{3?ZB)`!PDS z%-dYQ;n;o%bC%y3C@YiriD$TMg(YUoTD*L~JM2^RaOQowzK92W95ME^S|0Ezy2_?6 zf~UPDirD@Xm3Q*qn7X(no?@E7X)Lq9SMa>oA~KI{J7yBfUG_uRqzx|fl3q+KnW=pY@RujG7nhk9!Fe@yo1i(H#fgEc<>W1-yXQ_Z!CtY4hz&*1bRGvH5@X%ShDe|_uc&D zkU;;QK!tDD1CQc?{R(?zk z21*q+_4nAhn=z)Ba`(Ex81+%*dwXPAMw-^;&fFcXxE55(q1*orBkbwQvcY+Z$DSG( z)B$U?#LH`5?u?FlRpHI1=LJl0`Ccucg=6e}F;M12=wfs-2l1j2EOt)hXoPGe?Y0}| zaA#D~)VR1-DxvtrdXp^OuC6hmt7;VB&|X_(?5y$`RZst*ccPN8(iPo=1k z?Hfxb8oubm%u#eGs*`QH@^bhGkD9BAux_g(0I(6)mISRUlbtt* zx|{0OJjICC&*{}X<=g86llKN3*y)1CUrW(}PW>=9FhnQFcEFN~uCn`Rz;6>7vMc?P z6+bOEjzkZ(;{-<-=bUcG1wO9T=-icJThY?qHMa!}QeE7#g__EyALA%?!%iK=9VdiZ zpd+vscUN>^fv4X?*PKdmhF6|Cf!us!ZhRAVx*%ua+)x$1 zxToRV5URf%FgVs$M{r0nTB{+vs?Y;%)h`?wLH%Ru^4#kJX4w_(^85MmFwl@|XNPJc z+5zt!!=?(p46hC7uI-rp)I^tRII`9dU1?$stdI#mXZzYn>wiVBK0pmt-Ne5k-{zMA ztmp6|O)n6NEpoD`H18s!dcrz3g-{(Lmp0f5WfeQU|Uyj<}ZU#_)a-56WY!7D9iP*3FL<_`B!+j-kLs{9I@2D#SvYxuhe@xrvSg4`e=z1ug?6QE;Pg5bs z0e%CoqU8-4Hflqvplmfj)Uy*FTdZw&XU<5Fy#6eu0WDWTL|edkY3 zPtlBP*)0Kg9Z|_xH%inP=K%TksakbpVDYFx>#G4*4Y}SzCjJ+mH<|}dtOL#rXbV@L zm7=L)zb`(u_ORptnC+S52IXa23;mme$JIz-x*^cRT&5`DxEq+D3?8=Fz#ZBPnFVt! zs_k0{ssMTutD92&XB3dReady>0hZn!M;<#ed+@-5z0bV5*F8rL#)`xM4(F zecZM@^SMyFJi5BGAV)^eQEq!$`VFt3`O^(AP7?ba*b-8r_*2 zLk!0-#mLQxS39}C!Ud_%n-Rr#9uM^J0wu+d&-TQGiW-=VbADkz)Z5tyr#-jwzaER` zc;B9BzAM-4TyI6;{xkkmKWWe2fCqYzK5uJn2@Fv}oxT{FrwPc(Q!akIS6? zCEP$G%JUGiGB*%zBk7XUx-FDp)ci4ijHLDB#s_oQ?mK+w;^7qSg<$rKm)C0p{euD} z*+3w2<|N=SKm;~@h51`B7+N8Yr1mE{-b$Wu4!8?5Ga}1`?&^RbbW@6 z+iHrom!_^PtJR+_@MP;!f1Te^jW#B!7cJ+D(!etGKw0f^Ty$aAHkV=T+!&n9zu{11 z*aB=a(=q1(8qR>KjUNvf19zy^0Ji&-7JL~!9I&f&$>tEX^;<&YM?)E)8LE{iZINrI z@e_QLF86Nuq95u!2}QqP*EalSsA@By8^*twp>jEgVajAr{XU1XIw{qAi2vvW%)O4N za}OP==7FNSZw=Mf>m3zJ8*K19KS{PQ57kGEe|=U!m0ttHjQUJ;zjcpm)+=|Ha#u;u z6bk-e^hjV~N5IWHjYTM=<%SfMVX!I1=CuKjAgxgO`9}lp$1zTJ|6I! zAc}i{du?fNh|BamTW8hB0l773 zpb^b?a`&WwQMtB}QImeqR%Q>|gz9TT8Ru%Q@Uc)tdKZRUQGDg?zfXZO%wiM-+ z)%YIO_$=1*dS3odVSDj3ZwXbu3V03hS^!1T3-oz;TSoBS8e4D?{s;?b!xF`UJ~ zqWf?tS5fz{efMMA?c6*_aT}7Je2AYs%3WmMN9KcVfd(vg3yWS)X8XysmW{^$c|5@N zv|Nptz=(79L}XKa1fHQd1>`Y+jXpwf3QxsX$WhFTfrt%Ts7KhV%1Q{fW=h9t`L9OfAADPdoh+eA;md*Wng&p9?FE( z0-V&FZG{>mw-y|C>ye=0JbxC~bgyVc^|64tDx;CIQw6*1-^E>ex>dmRseosx%&jSQ zX|CX8iso4tt_!8NHJtXY4>g&z>e$>J@=(((j+m=fipC5B8q;`%!BW36nx#ct^+M=cD|b8 zfd9CDOJIf$HTMgc-D=N6?OemPI-q|p=L8-^@m&Gqmj&du-6eisIJ5cog`j zbRupfa`JSF1JD(C_MKk9!P(9Wb7P1DaH(GJ;!qCB1~j^QB(UbKfyrW^`QbndM(72e zIV_YbteU?WO52~IS8ma4;e1z4*DkX`-^?|0ZkoNh`pFTw_HB%A1_eW@h(sH@xYU5zNidO`-!b$u1Ch??cg5GtZj4a1jhthf2rx;baCc$pD3{{C$>~Lo{g_;o4 zXe2#Y*Q2R&O%po#s1zN=jNsModEheC(XS)9Iraa75!>s4vFJZSssF`Uff`19j&Rzw z3q82;&r!m$@yjGsePBSRWslvZvvGxx-#3*n>Y6(;D0+iJ-R_w6NYs@9as&+?EIZtFajOil54}ybA!%ifd0L6W55VhuC-9T zFQJ>sEA2VY zN4d7pN{w#(u26<~F8?V?gWp(-mTaR}bHA>8U{n>qf!x0`H_FmU6n%U*#k&GdNjitt z=au%!=H>s!zGt3m{W{=$%7~Xw&ZY=YoAi>+hXX^pe0^Q_f>2J#ti!oEdozW9Ti+Vc zob5gx?>}=H*DepZ!Ah>R_Vf#``7CKUG~1+885vr8G~3jRx~t>X^M442sTMDs8p?Tt z7OK~SLnQ%=;D<266-+)^_wNH7?ES}i?snk8Y#_K zG7Y(ak^CiIzNDIN3+3{Gxr%gTiiS)-I*Om5O@F?QYX+`cLREFZWX-_#;<^4cmR!9b zSQU7hmaBS3c=HV@8tQ5@WoO;1_=$niYoJ~Wpa(PB`+D?rHT|2Tgs*=TsuL(N*T+K* zu@4XKD%mJnG`l}g8~{dAM*g}2TB+_fX{FKJ6F99`(Lf!*Y6L%`2ED~VMbuIfs~G3l zxAAx%V81`wFGU%l4^z=Smqa1A56;~(KB654JLZ~e8e{M5W-t2`yOTNZFoR*1xU3tY z9V4577x3jys_gewib!UH?oN*n^yh&ykkPab)Tamf$Y{1RFh)>Y>3axd{L+wv5KoyW`Cb(Ka{&hGEH=RfSucm zcODBh#ADWP4XEwA7omt4mBRQVp#~_w>-1kdEL7(*;EF*1w*upj1swNu;I26Z^Y@;; z)8Er!xL>!X3oPcm9IA5!|AF7A6f%~gUUhLEEu6>T9`34PSdZDB*%P6huykwQ=)M$n z%?{FMsM!c(vfqEcqEjtqYtVFa_7&7HYm2=zb=!bY-BjSv0{j-byZmO3uy**g+1cpG!*)LAg38*9T4w z{Oq0FK*JX5fTy{Xqj*rMmu06>uIijX1Lbo6$Dyc{2b2y*+?WQ;8M)14L~r1E^=r5VFSmFA<1p;itlbkwnO`p+MuG#*XZ(yP#u zIM%4H4Q1%O;z~UorbiH1!N1k0&kQD-T{Z1su4;-R&5j7X1NG6zu7rbS#qa(6gwDE$ zC7X|MxpwC^iV6TN86yQxhEi3WmDz-Y>faIYqh1bBCv}Prw6~)cW^A0`?qiMirgrpZ zqKihrp(z?+m)azZvP=CdtY_hHih3j%QBHn%TPVW-=af8n#eusil^!~zXEhUDns9Tj zIX!BR_!3I+C#h}LPMJ}ugIO<;=fO3+JRVQ5t$s8`r|>n^S#8IAZg2t^+|K`2kttPPm1 zqaD{F>-k@p=USguRw(cV^c5y+y0Fu!{R)@Sgjafj1Cg)UOTG61jyr|z3SBj)c^}uP z!C*_kmA6X9@rQ{mmqwWCEOn-SPCPghXS~}(UrG;)Lv|RXJ9NXs@XI`TpFroSz!c^* z-yCRDKZg`GKY7`{gbsK4iT-(ri923(hSv#wSK_LPyZlTW9Zzr9)w zu5q{70=$c-sq285cUR~-PM-6CdND9V$SowOCOU*tY3A|(h8d7LrR({-gKzU=8e=$9 z9IY%lHrM+6TeUC1?|hW2sBON1W*^Zy<^Vby5Bdbz$ z#jgRbi6gtGAAc}6RDlkbY&P$@N1)CR4Dd)VlPYbS?H$mBTy1FD%haT?ZLJc1IzQ>t z{MIc2S8En!*vS8$0{k%G(8!ft9;H>w#G`UU71&RGxiUqU2)c-){#J@ZK;{@?m(}1W zagCO@j|mvEkCg{JbsEc*idmrnUj7hj;MDIJ*HS*;_5c)i>E^NS(V-@*1FlChjoadX zYpP}?J!aRsxV+VN%xwbl*fHUEHUYu^5l?R7jMS@z11VBJQ^ihqX&Po`7rx3}tkI?N z&abW=rTB+m3)r2w5X}e75#Da(w%=m`hqMM+E=n?wZc4dFH4arf_x#7IZ{%8iUBJkr z2@e#76TX^(-B^SFF!kclcS&g-nQQyf-otpZQ=D#8G^F#reP6^wJ2u85Z(CXOsh@09 zjS~6tsN2>BJiWo^6%X`_=iF^@w=oY?*rno`*P(pgj}VU=V2zPpps95?P@?AZ zLd^+(olRT5HdGsPadm?8N7el)I{tMMq=>@zo{<|{dHFR|?Z42DXJ~4JS30dI?-z)3 z)FC^s7P_Y9%+bW6#k|rvT*YliwTj29AWj9?y{q1RIHbn)T2~LE&hF)@3|?a`TA(0QGs#$T)FX+vUqcIs3x4$TbPdS^Y||z zfUC9yG>8ZJ55ITpJB~k_qSts{8#8sByfUvgzaiI_cyjxFft5ssA!n10MSI(Za`}$s zVJL-scRN%EHm&Tgo-d}@J}lrgr6J<)pjUS9Lmkf%`~;_Ez+(Pj`>qs+wCKOmqRUXJ z4XBhJu2_^oD%VOH15WM@+zrUO8BDa>dD*xEyBx?#9x!{9;>CgLk$?*hCRnWtRQi{P zaz~nBj|)yqSWBJ#44576;NBF=fQ@!M51WjjY=YnFHgKqDj5CGL(jq(3-8Ks|a2>o+ zq>gqQKdw>l_L_jJ>U>_!4U6tjbs3ZYQQSH`amldMp~hT(ac#j^%DE;I=O_!cH%DF3B}JQn%O`8n|P@zb$(4cO=74KWJw3@m+-y15jGLCe5US+NQ2}!qBf1IKB91VP?hgZc z;1Qg(*Xer}6S(=Sf@5U-L2q!3BpyGPg5-?*VW18;*LQ?{M8BIs#L~eC#?z((n z743D7Sv_rDouYA08CetImE|kec|ZPbUBI~$zr>)^cXTp9M&pA6cA6&a%_He}-huvA zyzRBu1RQ0VUUb#f6LbXStf3o2IihdE94B~8pE$|yAjCxjW2&M1`oPhlsuKdMNr4R1 zQ#{w`q<~5@Lusx-X+~qNeF%6o@J`s|w6SS$w^|Lh<=TsToSTP#I2;*Xo*N^?{jZU< zIbT;mtR#92Yt1;UxVf@q_^$j%NmC)vUn0}_y*z(v7+`^@>b2d~RDgFugjXg@>|qjRWbs9U2=4vk#S=J4hT ztkyKkoSM%0$=kMY4Hc-4gQ9BISv#NADYkZUgU5U5u(PkOJ^wk@?PpBQ(2qv^4jDNI zSxg*hRp`**vrvfa_fHOZM3HHhCoW8}2=9?l4`9xN9bAJsvqb>8*@x~rj3Qd+c+dka z3=!pv*~@MxcgqY6Qr&_Qj&2An-4ZZ^(WQGYLdKE}nEy%@{ZfiW@ZSpMTA>yiJKLWd zcLoLrK;hs$3Th>HV|v1KM22wJiEypksJ^m@Vur)BEy|(fR1gibc zu&uHnktX!5c7h@TVZ`29Dxkqwbx13`7(8gNnOL6?OZSzThnAy1w>8PEafB8M=sY~aLj zoJKg{j8HuoRw^Fi?>?b@e5kEf1I7ICS%G#VFnV2}`RzdYa5i0KH4V6=)C9Y8V`kY~ zDBQ^E9vsRKXS?*uRQvS8T$?ThUhy5LF0AwD#C;wKwVuw#45{b;shED}Y^@IE!~FOo z0hec1uyX`A9E+Q3-wI#!H08tDFlYFgzz$T@$?^W@L-mdbJbh!}Whrzt(RuM2nU}9; zqlAWy|KqP`e*wmB!6TV?`$H_=5O#MJs`;8gjYia()!v~TEH8aJlo}nl9d3#{a zkIeJv|NH5hZ;Smx9be03>6|1qY{)lE>y%}%a~wy&&r9HZ0*ERG?r zltbs`S_ic-@aod&?fmYAd0>7}psZV8|Nk)d?$MG}b)F{?MBpVsjL-<=ArPdBN#X-g zkp_WtFoK7OMo0u8kmLms5K08)rI=)JNg+uT0rAm^z%@lkE{*osT~(OOs8wCnT~#yP zU0oK#>glrSs_B}l*6Fr-%~-7NYRvh5KHJVq)tXsr{7m<*`KkEGZ|<<}h;SY5LD8kkrnmM(_6FyI<%lb*l6BgHZL?BcJ#`2^Ip z0Yj$M6u(p5GeV|592z1hL#AEVQADZNqtu>fIlU#+ZZzAe-^tyf447XLGU0Na7aGAe zll_KKQ@A!nH&#>Q9tiB%*{^}N-k7_(0%MgH#$Fb@pr<#T7}ys{HxPw`6(jEc6Dd02 zJ@%MT^T&APyg+9o6f*b69kw`5Y0h)aJV=k>NQGoJp|J-ek2Y^v(nU@}8Q}Jh3)Moj z)jI$U3M+cmcRy%)51K)}X)wFVe z)^$dK57AV6_AyOW|IF%EsGd0r=haG@1%+#1-9va_FVuq(%QWBB9se5rt8km9!R0|o z!qAc~?9r=J#B?JDJ(D+Ygd7B@Z+P%%}8krs+FxIB1> zU6!>Zx+?hM`agZ~OYmhaJ&t+w&KB;<9C%ee#__>Wuhv~(73vdT4cMRip;vPNmLY>rlT5rHq~p)p!no**}7vaA~i`=0FQ8bM3jDbW*@ENf%vn zy!u*L*St93uWf`SW$o69p>}I7{E#u+2yqX;7-%5m`}s*XQ9F>e&s&R4{{lsypyMvN zHsjU3G{x@8ff?pvZY^?(3;eL5WD5rG>=R%09};EO#*E+r%dmmITuiI zGmAqw#AHiYF^ppx6TFjH|4I`kFuZS_7n}G z|2-VzYcJm%+kMpK*Ko1$w-_2{b9cTdeVS0o>NM5q^0snwD2>@6uaQHB<7Y5I=FM{=zR zg~KyJQYNYpiunk6uW`!LKIT_emme0&eTy!p?cbkb8 zl-vX*9HUZA+G`ee9XixQb6mSn>s}8`(Pgy`oZK|7^BBUC$-4qZs$---(otB+6H|PN zPNa*-Oro|CnVavH;h&2XbpWlqQmk(ayns;t4NlPf)y9WIIjh=2Jj+zq(=KNSsz(!U zq4o}McEic`S%Kwa1D!Piv#_3E>rB@So9;dm@LQ`tIG-ZSHqvS>Lwz$)T;yY+9=S9y zLIrN2y{$(ByU=@=f;f1z<+l*d81)V5Va?|KBN#EcBG88~e!k6FvR_=AVjI(FeJrpM zgD^GZ8oAlGQ!Hy2wsHd|mNVn-;RZ|`q4z_WXteI&temq0C+&$B(e?{b^h;pu=x=NL zk6)E*jfFrfe`VQ`YebA~D>!Kia|dQ1Cmnn{ zR%1Oazz9#TJiIq|%>WJIiygsFWXZM^ccVi##>|OR$z>7~)~Shl+h#Y#7TW1nSY_El z;VSgBe^lTqc&d{wUsl3BxLwba8g{Qsak@D$s{np?c4VNjKClfp;^}s?*M%zE0CtA* zdq5^pC-3J5KRHFm4F^}05uSfM46HmAP~~ShBiHei^e4(+QYBcx2;n`2^3N^+#sR;` zRwKOKd-{Oc#VL-K1CCr3s2NfRt-p&^)aM0eNOh)s_c#TUPUcGIi`>OD{M^v$SBWpc zsk+U`^#Z0@Of!3e!0wOduHRg{7@L`4GoB;78?`VKigXx7OwI4fl@&r?O3_GWhPR#JZEt!2>V&}axZLT} z6dwXmI0GAx-z;6xS8{Fl;Q&hLCn#6XfL-m1eu1Ed-v~GhWwK_|i7C2va5xXuJUy@# znLEc~G~7j?pI4yo3}wb^h8P`wIgE5c&g9Zu^LWNFa?^!-y73f~>|7bJ^D;vA3$PP@ z{BU^h2(7G5xh6%Ixpd%~f$$WMbU+{;ggnGj$@QVWiJzixW)#ra7Qq71#toWZE8fq6B;S}e# zU7?K4jzX z8dD>l5hmGuD&T6(vfvcEG;ukk30shKTba|2->27I`<{S1c-+G02i4ja<(g9cZ_2lq zqQ>ds&AOlBD?XEQ2}QVZ{-c31Rf~lVHBKaLx82(ks<{|2ax1_EuoxHYw}J&~fRA!TmVxAQa} zLDG)9od)byDVo$Vxcj&QeMhdj2DhwqT9cx^#y63c*#H*;nK*J7u8Vy6ApT8`w?j=A zDSj&;i|>ZTy+Z=>xrN@_3;D(6{-;v(15f235{ynJF2cmJBM7dQv%NkYs&s+-g(|tA z{h{DS3r1)?19(u;jr}^7*FGxnTl0VmCuaMEazoVcEusG7Nr6YIfHMQ*GeS*Obb2d4 z^t$lIP_4HI)*r()^nMI;)}r^GFHqu1blk3}ac3wyppza6WuUnN6Mu0Ik6aKin5a?o z8XwlU5V$nZmYt7=D(7Cp(;DthP-WM!nD8^A_)nMRn!&{9VXV1QyOTM(JG>##P=Qff zKVjmaf7IpSn*-H#0XJfm;m9p1uDvJFU*Ybpfe`{QqAlG7YHOG93&tddA4cKjsPHf5 z+63KoTE}D7`p@y)U4fE*Iy{tL6Evs)5Q1{+(QXW^kNx&hABTPG_}>PC+5t=aGOm%E z`aDImk41uJUH-BPH8RSe|ClQ>H2dEntv-H8@fh5>D$L}{2m#a=2g-s@q|o5kzH?r{ zB`qy@|2F)tlXaV}3UxLtHbY={>;WV8#Kje$z>W=^BB^0#4|bMKz^Jkl+!ai8PGpKI zn^LLapBsZufmi?Nw!ke%1pdtv0S|31ITRW=fMH!8G3D(CfJ|qtTgMH;C_6)=%@3pA zjdKB%wXBdtC(8ig%24)x9%;}b3|Jj>HK=LHY9LE}&R|=p@f<)D3T1RksFRU`la4## zy_1gS@chXY^xpW{Bx(cRJLuAn&%VapuX7EyyW_z?$>CuI+sB6ny4Ujv9%P7myMJMX zJ`b-6sH}!F{ryrbb30!N_0QnxOQ&)Tp8gF&whR0b7V2=RY(4sZin=NXVmiwP|0X5O zv2(kug_A?IKS&YJZ_eC|zqwL*Wty~eOzt-MA$vd9v@P&&E{k$nqWlLeZlm{u^?@a% zW= zvp0pB;=&ulz~4JFP=!@dvpLdkZ&6oJ|=WA#Z^<&DYZAPqy+zEkK%=aejV`8 z+|gs9^yv1Izc`3T9u4e9;T%nLc7!r2Js7s%wis}Apbp+KL=89m41}LX^kc!}6LW3D zwSg(N(8mlkh%vUHzc&Zf!YaBq1zdYHAy%nx4y%r*KRMj_|hXl?gxdn10=& zi#Bz?9k9FwC0% z5{0V}lv6_AdMeZuWi?09Mp*~v1xkQ{a@8S3@DK?)w6+2VTJzet1Sexp@F>5BF7lIM7)W zaKF8)i@J1Kre`%%KLqu`J#sUQ+Stk?t#<~T;GQxr)9Z~c4As9R;3(l2h_QhL&CE_8 z57jw2;G~67)p!fn+5x{EVr2do*oP8y3G(DB?tYwWdt|90R)}%+Ob){+hjUFSE_@}_--9_DV3Tz| z2VGm$jEx1Fvk@=pr5c+9$ECvO|XdxN6^kDYMx;)YCM2HwN+XD&TaI1CC$n zx!#^@E9VBrSU|ld@S9Hs^jy0qp?bJ4d-euCY^*`t8LB~d^5P=_N1tV?qE6BI3X>8> zb1MHBuPpyu_OTYvHT_zk_4Pmlz5h+5YT#PKUEPd>ic@s4^mCO3d-8tz|k4WuiM+O%UG z)pbuu=e?mONZ-L(&8u1{ob_{Uk4M){PvH^ztxAV?dMIm)QX@tWYtx$cLq>tg&Wyr{((UkYOJ+*CsxqWj172#P;zeFMKrIya zw+KJnUfek|l%1Eu&F}L=cbyY3%5bRVukDXX4(V((zxm0b_PH$Jtb(I*w>>P}o@=JE zUE)!+<=Z!xN}l`D@?yp%^C4g4JOX!ZttEnd2fni?xl zsBVMme&?$JJ2cI-cgBA&nhA9DzB10WCS5{VYW5ryubQI=)dc}(s>>QQSTZ^)u=Z%E zw+FT!6Ig?1)v1UcczBOB)tu>E_NwLq2NGL(fob}ZsNI{QM(qD?O0f)* z(3g@vrm6aa0qxa4n;;qRDhDQ>&(J(B#VO+HQ-iQL9 ziUQj^dxnOG`Ok7`uWBLCp@E&X6sSxg$M`P+$_e&|(_XDpFbRP()m@bK&KAobA z0lHrdW$feG2^Zik^c&7R+7C|P-}~l)K^2&w{9XEKbJxyq-F9Y*ebn|9I~cJFhfo#F zw(E5Z-zBuIqFEi9)iUb45{iECAJG-Ht_Y|(TE)u76y3e2=1e}7qD!PlG=OYaBSXLM zz9q%wdBAmo4)9Bs{hhg{88|+-hi%drL-x&7cTCk9*uJBzF^X<_(WGMaT#62UUcz9t zP*=q^suW$Ms3+7y*BzT{tu+Ay3_lBP$UZ^G|MPpefnKc~7;t2>`{GcY#{*7X>Iq#} z;8eGjY{2a4p@D%GN}anm23*@{wy}X;m5CeL;VMVh63f#LR@?e=pvFFy?hDKqGPYp$ z6z&>rnlSx5j6EI}d%VKO(7zktK{@_#4z(^&RRQ;}+VZVur8q(1HZBDmzx8eJIVsxI z)6lvuCVtb&fytIY6E$-i)T=NYhu40ANj1BGmYW-Ct6`{A?^d3pm0bkoQq~6T(BjLQ zXqsTacPzCp-KSc7Vv4NJT7E<2F14q3_jg=*QBWz z921xi1M3j?0`|7Le5IPEXujPUW2JvTf?t3oP8*Le3N;=FK97pJ0I3Uy9I!byn82$F z<8*gO7p|2s0M_kpbK_fq$@YM@`e#=_(aLwjx-q_8XX$`#0rfEf;iB{&I^^Vi12e5Z z9cbgF^rxy+>-8x%bX8A=G6wF$b~n+Oc`v;I0_fbuBWTlzUTtt2#U}z?w8*&G<6O*1&@0n#RVD){1h>KY#0LFd(=`8UzFmk$lR<<|o4JgBIBA0r+g7MMRB z(5d#QRhzmvIW(pkpFtyB_+)aRK@A$G1k_?T{5tz(CdPH8>RQ2L$+p(>5n1dIS`yB!)hr+#{BUoha>I=DOc;l)sWD&FI{HQew8MfDcBL7iWb zJ%27mPs3@@Ktt2BRLrmQ9DT|ZX*nrx$Ko{Q54PmmN0FPKt#Qm*qY;MoA4LT=TpDmr z=?0|Q+=si|n4BIMyeUvozyCA}%&?xdG}^4oD^eDV+(kDWu+^UnwF6GNEUNubs4>60 zkyj0PRev$y!p{*cn)ook>+Hi?LK0`L9`wOkei94 zA0e&N(Y3Qt^ub30i*Td$Zi+mtN^L<3x}e^AZt&a%8h*n6pR?G;u?w;xf2l znq}%;Sn@}>&4W<0g+~E6If4huV~HPXeKs(VyEMA^Fe={K6{z@0kH*|#^KVSiyqWXA zx)xuxjYbc7#C@6$>s`Nb){(h3SyS`77mNu5b${dBb;<>V}qUT0V7cPcOgE} z)hx4(p*%3BaZ9M5;vze@2U@oVjB}jeaan~6VZ=q4!-;RTj$|`NwMB$iu1r>Ck1XnzCV9mpsW&YhH@s;C9k#J z>{Ge6xwOS5k`go>AU6Nw`Sl|(uxP{*FFp~6OfBfQ^2|A_VmYvyh9{IcTYDnQ1NZ|(R_IGB})_p72x){3x_>C)|kb?fc zyLTv+Ur{*uQYNYOJ~!v?_;Z2z9x3!TrC7RmOk<8H`g=rCV;_!s%ZLC^J^nJ+?hBYT zRTQ3e)y1{g%^EttgghLbY{T9B1%|WvsKDB{2TH05hM9Vq9~8=H*xJueNKvC3za`Xw z=cdO8c4B#b@4_Y%5ZkeCgErG%rYBlx>~UDsYQH+>1xvnws%=5s{FRA06MhSbdxVp@ z@f`ups)eVqYBm4sk~u5+NAOhc`klv$S~-hS!3cfqI%?3nDB#$od0VJ;=LA~&0^D`M z)m9Y_=V2b$VQC34&?c91O|j7Sr2%`U@1YyTwb0bv*y`$T3BC6Ux-q;q;IZm`s;dj~ z{8PtFBlN($)D%M;Dg6zhoJ}jU56HapP(VrdZ5!?QF--gyh_=MB`Ze0I$h9qKV&lEQ zJW!f?21QKBT%U~XVJVIS*3q^GEH;y1TB#^7_B+0uy9DKGVv7p3zZkglu0Vwsm{6;) zpl0(^0{)~DbeZHFw);{?+YX@D9+7KHn*;8lbRgTGr?`w{MpeL!;dge18lx6(JvY!m zHw?y{MbQ`AqJ|o#jEHv?Pany+RDQNSloMo27;KGrN`+C=SF|J2Y@=r}HW`MK`Coc}=mJ>~_qLo7oQIYBX8;H!~73^l)hov~D39HrZQ^{rI z=5XXq)bB~^_i-Lx=I#@P{N{jNZVH@Dz;e=%TowSi`LXhIp?QF{k=1N6YC)b71O6J}^}3l&&P z{S@+9r-kxBN0aI0CqI~Ljyi_dgpv`i_2*MzzN z-s>aE(%4ao|D+QrbJpmtyQ|$BX>R2A&*9ny0L<>Rp!oGm-Wh1jD55Xpivy!NumjC; z+x6(NP<9heXx)T1H69Io=kb7Bv1??sc}GA8W#;Ma-%4?E2amvA7s(n?ltnsM(s#icw6A*BLY7}S^pYuVHdcGM}EwW zZ79tUwWyJP2W~W|q>641zCI4Ndh+_pn^Nq30GI?!chu8RE?afw z_a@Y0iXLbh^`qQ9FVNl+xDb;ZEe2e`uzFnj&yl6;pUYR75R`K}rl@=H*;vYKk9pBP zY%0vTE0kftnD!nEH~xr5JGn927HWhYJ-u(BzYwVMx7TQMpfwNNaa3SV%boft`KEO# z&Q1!{u&$(^&VXtL9065t4do|?N5^slQ*%J%9wO7sBbaTjxevo8O94|GGOQ#YkK@{% zJomQ1OZc@{KN6^Mb4v#XJg>eSbASz+eR~cY9Akcds%W+xs(oRg`X<*d33ML|ID=rw z>GY_(@ka<{1$!%#a0tcBwo`-GV0mSY`gSPH?}wKKT6+halQTj0lZ`1Vt(UG3<%&y} zc22ad%X6))NB=ey#^j>M)-9oS(TzD7y9Lp%#`kt7l_qppZY*m(xaQ)OF_#&3)WcjR zPX}6>%YLEyUj{I%J{Hx+gj&x*p&+w8HuJqxQ`{RZaS6%=PlWo}9-DEObFF%#$^$sr zLU;WSmtuBcyR2({HI&OtJ0bRJt6XT)+D4#(4t3{&IXcugh(Uc^4Q|}oKtVdAfa&NO z6>yB`U|AnK!M(a6PpLWyrv%;2VVtdu{x|C4c+2E`IjsUaY9J5U?wSNA9;R?;1anF{ z0mJz}VTmJGx$*BYoG(!!7bwr331ynVp`{s&DgQCY)CQ*oTnuUl?s4D7yOSz6CNhHN zAM^ge?ASo#n7|xgvT7tQmg!<7Wme`Jp~}ia?8AA}tFVvrv5yh9&j0cH)HN32jxmnSIzb@FHEY4O^~?yuKH+hls)Ox*-ozUxll{*4$M~qZcH+08(~(CSVsKh z>3GcMJn)a-8!#lf6nFR$RC!tjTq8H8RvsPe2^NjhQ~dl{0k@h?hoPEl0xEj@%uwbi zTryYoK43Y{i0C42R%U(Sfit5+T+r*Vlt0`S=<~mgJ@R#VYiFNab7-`3R47$> zg1>6b14}6N?8rce{=EJ6K=Vz3N(V)!?(Ek9Pi-IPg3@ zgu^~V-St#xb~4v+H!inx@LgDfhV^dd?y9PwC8aY&H%i_SwP>Rj&tt1bZqxgq?hQE9 zdhoeWuFn6nCqlg*mbfq4T)i3Vb=n|xnV`>OoR-63neB{;nWE)Wa>Mjf>3eRW_{G2$ z-n?etKm`+3snuni-#H`K#;BAdk)7yOy(Z9we=Zm=o$H8e+WwSBV4@z~?UTQ8V2Wm$ zW@ue;b1=4tm!Dk>^a6d9(A{>#jG^6YCEyMA7GnV)dW^W6YP)acAN_ zfR6XJ2O4_=UkwbR^MHd5s8S7}##;wv()wA`LVuVOo# zIdf{}71>o-Qu9O3FX*&POt0>hY3OZvUk6G1krEj;=idg@uj~`Xrkx^ogY^^M+EMKv5vQ1#(7+}InbL2>~UQBw;S){ zx*PZ5w$!Eza?OrqnMzhvat-!7#eV;Y`n`bWbgm7w4-H)Z*}#J8t%Yt)adk0(N!ha9 zV*lJI>mI1-@0}WO(XGk7`>5_#3~U`rv-Nm@9~z?#9hzY6*ATeA;-Hk%Q}pBJ_Lobe z6dltU#8gP(;5x7m4$3~@`b8)j(>Ns1!60Td>k(|BL5uGHRG=c5Xma9xWrfA4D)k&LlalZqRMznhta)W&>%xyeGmlxHGOB@5&8R<1WuM0Dp*z{|$_F^7&7!jh|*R z!DLvr6R%S7`p$a-o~Y?)$8o&pU^r3WwBm#}n+a5@=ZN;Bc&^ra0lOHgww8!zgr9VZ z$x-?Ev=kRKrYclv>gz)FXzx$Y4z#Ju=>35*v4j{soozk|W%%3WH>yVhH9z!?cT#*T z(0M#yR=0~A8SDtSv!uP9yO_(LB0N{)cBylHEjMlo7`4>!@3rp^Ea(N$Y&)ROeL0jW z>Jk|jXEb4_hxHmGwKu0YS`{A6T0IWB3~#9J=~PmO?41AB6L^kSX(YR0#M&VMW1R}! zN>M(qy(*ORQB7Xu$7=M?W2#$L9339&D@O#JlGH^icsphn6*duy&DutFHLwLmwlzgp zB$o+_yHXsU5@=2Xj{O?*P-R6UQW&8xM#BvRFuyd=I1eBqb5h}ME!yLC2 z_Y?(vyA?9AYJA$E9d1Q*iQ9TO5kZ?QQwJ=koCJfgQZ1wo9NI zZH(QAPg1@pwd-=_U-RM=TUePtKEMJn_h~p>qt-dUZwK_+ifjCu=BIqC1G$Fgs1Zeh zX^~l>0d+CkSj|J7g~PMk8LbcHinqI9>>)TUExvg`sNtOyu@rL|E_gl$OKB|z%u%dC z;YKuTiraL5cUc~1jEM@Y&g^L)BP!n96>!w{Y8ZAO+WrT${Ll9dbZNe)gu80;bX?1t zH33tdQ>tcm)!m*uRAv0j*;Hf0p@DUm2TJA+PdM5y(0!0={P=i(iuVQ@D1))Bhr~^& z#;d8uPpC$RYFq$^3dw+}VyV z(2g$R?%mH_yjg8yULVQNc+-X2*0j({;ub$qBLtl~Y$+<2pp8&>dR1piZXa(YF;dDuB_L=|uuw%ztf z6}6_{&Rqws4oBMXZF&17^X@Vyj5{(>r*Ti)r^cDwGQ~Js-~g!-di79_0p2^~}~kp?+pp zT?*pb_^(lefAeslhZ4@JKxcixaqR(AXzybJ%V!46ZkZUIJ(8j`>AT>r+j9H-+V;mO zo)_rRMK_RnZ%3f?Wh(0jQ``pI&C)re{ipKzx?D5H^nilumK3+5vG&Q%C%fOY!rq)@ zuq*lss-jb!!r0%1v7U1CBHd!~yM$osz0DtQPEpOd15@jtO%WX$oE4~PsxHG(?+Bmm zCnJse?7;sQT*ejXi;FE?Vrf=w4gR#X$6JgJOK}ZWwt6y8{Tcp^I_p^tKkOU7K*fj1 zql9_zzN{5LE>xRpcr1(kVAqfYAEqn#ZB$vMS+;68va%YNmQQaCjIf>w9IE&YPa}2* zZ8=8ZbGg>MJz(nID8r4_{#%!SlamJYO@6%m8)6*ulQ%udBRuDMx&B7;v=qBAyGLKv z#b5_jpn};?(v3CN1j^UpCZWc62293%8NKRW94Lv<Kt8fIr+j5p+ltDgJ(WX*4M@xV@u z{E**h9ufGjy#5kc?1{Jrt}dhd9R1)7?s}$Y`+!hAbf~%@;B>1o^#H5&SU%@9E<=%w zOSYjy58(AG)S|5+8Z1&Z16NmXx2T_o6v_kp>6_4lzo7YlPW>DY_E83hWJ9EX@>78^ zGVdYtAyuoq`ogOLItdg z=YoxnN^u*~*B3jop89WFa_zI|z5ZaI%R@Qn^2f(dr>L~-namZq1K!-opJApG>M}Sq z;D~<2wLU!1Pj0<1RIeLoaqacks+&6P{dzRU{k0wZX#>@Br&NPxc|eB0rWaU5`o^qH ze5Y&u98eB;^Oi@rc6h+4cteAR?e$^o=ywp0j=RJbG}V#P@C%{Jcm|P~?J>jb@Mg`i z+#Lo6oq*d*Wa3Y0Ok)|Kl@(saO>ixE>L{>{kvPUaVI$P_+;|4~Y+!(qxT2@AAygSI z;V62jnX9*3r-rf@|6OYDc%g=CT8c)Z5icK;YfUSOxs=t`RM(768`e1$U?1h2lC#5& zgLrsP#of5);X>B_4^Pb9F*@1!RKP{m4wqDr)(STc3m6@m>~DW2MF*Kj-y2G`y&H9` z@PrL?a!8Bpgf*A8joHLqc<<`0>hw^$`ret`_(q_nYa62=W+i`u1L!UXTwiD4piguu zgFWne>eq(FR?Y8gI7iiafPb@A@Yz9w+H?VRITC<#WvTM4fdj%NvDpE5ee%5Har;0 zEYk?H@`MPjaT`@Ll$=u`GZ>9iLba-Z!`ypeleKcVxp+>BMkA)jYP7B#5Bg{*`;->- zb6|4QWuaQsYKVn;=}OA2Dn{(u~spqR=cUG-CYwl8G~$vIjVed9yH(6 zv78SzD`_j8esm1s3-l^Iw9arw6L+Aao_3DrrTHtm(Ly&WTRDTGfo5?US5VxWBF$=i z6*w{AJX4Qm4L1Zdh#E)cQe`LGe~E)PvuMW9{Uk&9;u7RBe$5=H$t1a9R5gbY4m{ha zck8skZ@o8Q#iyG?P3M87Dqy}u_xhAZhZ}C58z>7L5#w5va5@PXWA?E@*J(AV--|Tb z2{&u{#}{)K)hqix`xI5eH$V}@6m@(&RB<<3LM<-_rr!#vosYsRcPy>0I2!3TF(JoR zx=mArBQ(}Czy{c~K4(hH`?~_J&hnH8wd6f8=OxtkKVVU&1UAe=Ev*Z9?pyneQ0Aq6 z^pQ}_V=2BPP-$;4qP;{B-Ej4y$?9KfrpM=6^ZdXBr%Bif|ccnN*+w1KC zgX5cS2(_ByHdayZCn$*Ngfa(7_uj(-$^sCgf*DOU8ZiLh`w8x%NCwtUnbsJmeOVJ* zP*4M^;g&J^Y?ta@8M{wA>jgMe@xO~O>>w=a_ve8f@M>BGT9|>}@jIx`PBf4|pl5KQh-UEHhvX4GSA9MIMzn59 zPao?jtMj>Bo1-ckiAyZ!ho!hx4+0bI5~gU5>>NHBs&onP)Umi>UbQR530;=cQ-dQy zEfethZE{oNx1drpoecVCZgYS9kPqu}<6RF$?YcB!ftEW@?7zL9rn-(|dRnM0XoPKZ(BGM+s4WB&m%YUQbT@d?X>}YlZ`QoEMW!4 z=~{O4VcOsyBB&oBs5W*qf_05~U>(iUEBD_QN=`m^MyQJ4?O;q@WHiBqrf66X$J2n% z&XO4vxl_fX)@$s@kHBf-U+twhK?+k8&Ow|rQ`(jxQ+;x7xcuV&#ZW^$aQ8~C;h>yl zeEtw_;E>&@Q&tTj!P&P1`i<2zMu`NKC5#wgOg(t-^yB!!P}7GfB5D0|jWHRvPR;rl$a??g$RGP=4d4B^2&{1TZ|GYXml(^8&8iv!8Cs5{%9jwF3n} z#bu6utwI^bh+7wQI`ViQ9CEbyS{ma|mepBwEIP8^K9(Ew9|Njk;BT|Wiz%9RsILgs zI5e=HKEMRFo5BpNS2KZgnYhQTE1AP}eKJg5DRUG_>mJe~ql_-PW_+c_w&p1=ypC(Q z2R+g{c)v(ZJ?c>B>yXwB3$2TCV~9{pPdNQJre|`S%-TI@a4~2# z54Fte8&$xz{a|M(kDzj_u|O+#J{54|lyl$>JW_oC&wV2>dL&@g7PTl^eq|k)KNe^` z9x!dwJdYwa-J{|Tk^}kQZ)Bag1p=A2mfr^^JkibpeyXy5Sn` z_HGHxR|4kdj1y-Mq^LT!o(|>0lj{4SoJ4mNsLR-jLA)O}?Lbeb@ct!ue;3|+0YB~z z8DqzBm7-lo^XO0pkd5`BoP_h}SXs9Xvu~kw6%3nppr!%S3DxnTmSC7;2wk|tr7f_j zeR80+80f<*r*L$5cVd3M%K{GKdUQ&T4P>1`kz@9f!qhkofKJGBOBjR$1Y7QmiRq%> zr>TB+wDqn~e$2D1@Ovo51~qUS#T>(Sj?|%t<9M~nn9#wG+HPOlft{N8NZmzM+|yut z9WST?J7~h{vE@2ihs}=Yb?~kva&wFWCzrVC^bOE{dTL(K;Mcx~@D^>%W?m}Cw}i5r zEnUJX+^7QjoVC=-KvV9jgzgcWT+MT+l*e0|wsD$w4Q6H1X&pbQYwT@gPR3YpL2gxN!xly#MBaF=0b$p5m+NnacVD40in`0mFrw-&j!pFiwXk^_noBcPDr7Fg`TCS9G;Q7JZH@$}e$o@Q_y z)bW8P_Ny;8z$o9nnR6E*yAMdKo%5E9cwfz{8pi}2oOxd4;Gh(XE5L7T;o&*m#9T4b zgE?GkAg%lJSN2sJf;B86yvmva9iWR2Ez`gy+E!*g-UG$m%C-r#WAJ1^3tgu9%Wvjd zn``Kha}E`c*nQ4#gL+%QMImmXaxT#2k8>(nYDHY!;#C!IY2O%dQrYJWo;27NZ+1p; z4psXCs8;?8@9oeQzDDuu0CydF41JguosK4|{O0-9dzYfGKR7q6eV>2xf9o?tP0-U0 zRV#{w_cpqz_xzC6HSR2RK`4fU^NXNp+ZZ<0yu~17%MBR@V@=1{{Jp7o zNm1Jv*#zav(S>;^`#0w`Tp07epPXx>D*~R3=kjlVQl++ssQ97o6M>3fYmT7!p?UuH z>VR%6)af_)Nmq56g&25uU9OF3=TN3f&y*wIg^ zxT`F*#uup25)5-n!!Tu;3T?yR4{#Z#XH8BS`Fd8JIsFA#a){i35%bgd5B|-wT?bUW zdM41g5sF}VG-Fz6z1<#JbD*Nt7bIp+5 zVTM}bbZ~=Cy+o04$jHOtO__T_#|?H2v0YrCQyo)#6JWaL!H0MYFVHboa95`~#RIq2 zaAO+KQ~!vzl{gHRe3wUhI|G#}^%N93>G?zDtM=&l@=Cz;wkt!byHXs|a!teeZdo_l z$a6U460ji4l5pXNeDmmSp|)Z(tycvc&5qIWAwo9tZJ|xFQ}eUODfVG-f+`zTE%6pL zXVvmXRL!o)+@S_hZ_c&OJg{6roe>yf=LGZG~kAVpZ8%T9x~-muA$`)f_J}_8}L~z(SF^cY1ZYhsKHKteBKL;9uJJs zPItIjjb(g}v6<-;PhcpsEjQ*ypQ`EB%bGEi%kXW8Zq)Y%v@HVympYpIb1m5Z`{Zte zCNxl=vuT2{fcx@mY*k}lruJ(-5NM$)_J~siI-vG*dffp{*oL2+zAI4EYqXG?bI}Gi z#_~>Gx=5@;?HwZbP_xF<{KxnC4_rnCi~j(>;X-R8?w{%`QOt%apk#<1Y@owy`-Sh& zqGj|-2kK&@xz#;~hxrc|s{c>a)LjO~T!x6lPOkM^0mFsCWug4ui5ze9zirgkZl@8V z@UIM8sF1;DiyD;P4<&SNR)1<%NNU2XYB=7Mi9W}*-ag!rr!cY2t6JEqCr-HJf36AX zS>Z;h3+;-5(1zhKcT6n^CnA z;64e3KF`o+o#l8}C?k*ko(T0jG-gEob}I$+xuW)?d0=Z5un%a;7nF4g<`}ujocih% zJrA_GAyg61U0gdNP~(+L(7~Gryyf5F;LFxQxa-~mou$U4D`?Ggqd5$ii!7OPetfq&R$#mwqvD8A542 z7wCN@pim5etj3RJ7|P(P*g4HNcVqwC;Vlzh(16+QtyyQs5@u8z-b;5^sdtDri*mv-1iKZQ08_;Eip z;wsTsce#5_prW@o8g}8VTr*twht>sNJ$*#LGe_Nq_YAhs#1LEe1at}wivC*vZYUmE zI}aFME@47THlJ(OZ~Z7#&A*k|0+?vWTqd&_<+}>R!xD;uY{|9N{O-Y5q}cg5fQ(91 zkA<39tf^YVwqbPYcu@gbv zuR+6{o^SdHf^rV%AX?-?Ds^LcDE}tgKN+fvLoO5Ra95>v#;#1XAUyxKIu8m7u7!Wj z$j&imJC-3m-B2;|(vo4u#Mfd+Cb~`gmlLj#g2}?+@u3_dyHU~1;@(ta8y<5`6CR`n zWwXEa<9}bp4G%Tf50x{v@T?w$ZSSX2JB(~y$BnlI?!YbwFmbY4#N}$W@~TOvw9pE8 zHi6!!#lv&ef|eVRwN^rvy(72rFt(*vaf7&FilP{JcbL2L4$o18#*ToBR4s<`I0+Y? zRIt++-S(P7ayf@C$Yqi)cN#pL=S=TZ^H6R@baTv*9~w*pE)p~E-RCEr0ra2`f5?!1 zMd4kMyYX(J1>&D;WT{8; zHwKu2BkM|UA%~Evw)&%^LainI=%U54-I?Gaes|SXwKu0YS|gHxFk=peLN8 zSJj%p5|-jZ7IPG{GgB1CaNKyP!*dHNKecL5D-R?b!!;K}mD87XBQoqE9)V#+vyX;C z8~{EpXE0#k#kK zn%To16KdtyfFDMxJ`6=;^hn*~LOF1Eg8Ln?{rxm>_Rc_!CRP^*Mi&MeXvyyoPMf;F z39A^<{Ibz~d#D*9(`@g6y-V}NP$L@c_Q^2~tl?1E^m0w8YE!@jVvQeim91wn=oHHG z5QD5IbJx6pn`1WLm!g4}8>d>&rPznryDPL5B%(uz)}^^j^2g1zk@8#<3EPT(sd~2 z3GYBz7wW*}v%stu@E|Zde@Aj9&w#P7Ah+)IJZFzcvu3o&td$*oO*_o$&OQ^$jX$mZ zLY2erzQ|n!Fr#gAcyHTuK@RNx8*RJbsDP1v^^Q=EtUW_$bwEBppBpHlQNbEiPbu8; zXehJ46PRQE&$L_{pV&g{#)#*y_lT!;Xo_1=xEft^X2tYk{{*g~L#u<)2dT56nsLd$ z#b3FEqO1m@_S%eF)!vLPG^mi#S8IDHQ%y~(Q9h#qPu)0gSkc%@@zy|Dg8b=FMJ;xP z@^?G)P?z(&v-bx2{N#9jU?-Bk6CwK%DboaghI8G4T*Dbnu+>2;;Ec8l63vxru&zpU z;J%Go6$^z|p7G`;AGi87VUy$E8P(M;=R_?ILgv)Iq+SsBPo53917P}GD5bCYxj5}9 zl=@ke`VG|nNc6O9Hl)YiMs*LmI8a7An2_CAO|PMoUgm!tv1qHe!;NYln6C@C9@EuX z^(e&`4hU4|2h^O|W1&2{OjYfq4bk>%om)TqWwY_J?Lxf z7|CDH183!LFSmA^t#t{{qcnd;cQUKEi-N4cVh`zZ{M&kCil(l*y8jQPXixXo_y|XQ z&L36y`+to*b{rpQVsvGe7DehJBiGopVdv;l;Gn<^o~}F|@MNgTmQZ??`dgvg5$;lk z;r0|8R{>~UZ)3ot*IaJm3hddZa?KS-2Dq(fQfyxra5L$HsN>|_fw}6qCsK7oKpBRg zkh?GbZ9lXL!(QziY8b1GjGDiXc#N8FMn?LkO>-!W&a)1tu=DBD1IwuGS}d=c1k4|F z?+oQwV**Qz(x&jh5Ya)>AJ9~Xr7pEF95fJ_q26D(Enp1t!)>8{@8N(WxxO_((aQ<3 z`1@DS0|R8*y4fA>=OwS7#K)Q=qMqCU_R?r9+ z%6ZDG3mm(Lw{A%B6@A%*DV9V9hTX9*yB7*Y8tn<>6yA5yrtzr( z7Z?2BnD|R5(q?2?@`RX`zW5bKYFwLZEhIfV7Yb8zF|DrZx8UTEC_@J|pjrEWIxwZC z4jD@-f*-F?A3F^5W_C8?d9JN=0woru_(K%w_fX{(RHfo~$7=!u^toigsD@iZn-_=b zBj43c2gAh_U52PR@4PHU&%@I@IyQLItvo^{M{v!xi0!*VdDw}ke;*-V^v{Rq#_5>f z8h)*XZaCsw;LVOD@8|9kJT;Thpg8wAUfRGT&0&*{$LSDPCQV_i!Lfnd>H%(TM6vv? zfJ;1v_@VKWJdEF1K=97WydoBWyT3&Z`c!;(E8v{wM==)@e)h=&Os$02Zx6NOSe`ou z%IDr0%8Y-Rn!$%H^OOJll)wO?*uULH{aiF}Cf}ig!>T6cYxa7#8&vJFM*?mO zDj)YiUmT#0d)&Y&7;4P+^b6nF;}4WkNlqa_qfOO&7gFdW^DYj+?UQy19z1Gt-pps+ z<=-4HU=Ta5p?FKcO<`S3d~#1f=8Vupm#?fx9m}`bFd=h{PCUGDUy2j-w2k0PSB_rI zFe??#gLZ%(l~Ixs}=&0)aoTOZar53$wG75y78 z21)}7H4Jv9XoTN3Zlh~=ULEMrS?lFTqfpcB6fv9yDpaFBV??{~jetvY%+?y5n1=M! zD`&9UAIu}>WCk?Bbfv{P?#6JieQ2n&c>S@w-aL|;I8#-2@ErD5y(!=r8_<|uCs0qhfts1SIc3a^ivx}G0_}F7UJU%5v!kz~`JF=o zuQ)(jjlk7AJS?#QQtjW%!`}}Wi#pUABTFr+tOK2=`0jnVc2dA)TjoZVuoS(c9et1L znv-#*i6OSbk?O+SFcsk{{tK^6(HX!aH}Zn(17!$BC8ua-yipt7;9Ar68KJso2Ml6<%C9*UU^N`w^gB~@V!gsuxu32BhfLczblZWes%e%^y1OIPa7*A#@Na_C z@@rpaj{Q>Ncem%76MaL(t*bJt;f!qmv$C>TVY`-w^ z=}?X)?1hHNcXcTJ7pJCZZ~Ed9q5k3t?qbg0L2fU>(|UbizB5qvHp2+BzopxLCPgFA z;d7x%N(#BnG5aPjb%9FzG$`K!vyBQ|N%Xrg!WeEHiqt(cFt{~fN>x|4=HSr*md0;^8cT@W&k}g3iKkm{x&scDYn=?PA_!sDL44KMj2aupi za`k=*;jQ0OUC#n>u;+&Wy5G*-we%nBR|7-ZF-0Y+lw?BaNji8JLZhA6B zGhWt3r}Y6f_UpM(tQ&cF#zGmET1iB!0Ni)C1yj>L8gC9|h&Z?=lm{zrfd@{{SD)eT zvlLMkYw+)B(IkI+wNQ}3W{MvPc)qtn(vf3R2GlD^bW6h!C5gKF(JZ6B{#m)P=~(Xa%o5D@XlmU^ z59cwWA!b~A-w5S!PB-#hRP^BE1MAP{5lpCmQDA}_aU?v%jf~O1`qF^M+3mK`kEXa2 zO`N=o8@Q30=8sUvPhJ^N(x<_Vny{yTNTB`Iz~qX+2o7~m40xdJ?AlO9eY**O`j-bx z#*MBE<&eijqoI%oZg_CR{V4SicVqsvr&8l-949+HV6w{qsPhmv&~crDO6~B*jaUwr z{rrR~@X`@^&Lrxq5LpR@5Y*120_tRgo_z-YOwdhfOhsqtl#6}93;7Cu0(Sc43Nr#8^gN zSiq)(c;vjm>i+XJxFA z_GG{e{YUl-<@o$1`bM|hIT2YVM(*NaBAMMvAHh3*(|LHrwh7oHkiJgqMFjsbIBu;v zNWY)IvLNS+mOGY1 zwZ9o?Jr;0He(%vx|qd+%4Z!xi^$Shn{~2)+7Ji()Nn)r|is)F)W!P#>PsZd@M6WImcQf*^O-( zF4X&kYT)%o@cycKUkmZC;CyEv3< zE4s+iu;;}~p)kLh=7(tSd7L8M#26c#VScSGfp_l+Ocw*je=a0&my1c`UvAHh5+7)Y zhom^XBG9=i(B3=HMA7Zl!X%sHOKsZO5jRKw5SuoOv$Wc!p3nO(2+Uf6GDTwN zsvf*K*L1mE47-iED^#Gk+z*Dj2S-~W%kCZ%zd;j6JVwYK>RS%Wza`h^$YX>6jO$#| zJjYo!aF+e20}c>2z~>gdWCK304)ten*Lk&_yF%GPIzc--BE@PCPtQLo#Ub9Trsa2F z8iR4*PpSBi_(=zkrc@T6NU@xh&ch~1{908574_iE3L`f3+l^3K^T2<~-(Dl6<*4W* z`$8c%(@N$ZdPk=?TOV-R^Dp;EaD>SIl9w98b@2>lnO4?>dhMA3N09v~Hx2->eN({B zZ@HV?5zB5w*1s^&p(Ax3r#>i@QT_GUuTvTtaUav&ju?C2;*mQ5Sh8C)#W){Qsvi&4 zqxr8$W@@2Wqf1q~n55IKGsNxc_uh4($_aY!4z-Lmx)#C(r|r8_oE#SLD0mltX>^_k z@2G8tWUsM&m5>Tw=W=CQ&O(iv*#?! zv9{-ib7%^0GEebm2(N!y;Ga|hXQo`a_d}(BZmzXI5GeCe$jCEST&LhvRE5InnqAMe zbWV!KIlVfR(@qZX9VIx;cE3{iDF3Du4hiLS(yMTmqeBBd_}srKP~wssx$)V+0Ao5B z=hnr!)o|CX#O_&MUD(?;^>G0Q2-Uknjo{z>l)&sLDBkkh9|<(kh-w&c+qEIFwz{ee57Sh?8{T*g z4<8J?0l;9@2-mIK!*&;Q&CGEZW$0snww z>_^m8j+^;(PoaxPx-iF-#k+XKgy}LZ*J)K%sK)w$EBwlU@;xc;O=EnOOCH8J9;0M7kBXapb6x2{DB%=Ik9PzNah4ZD zd6>Vm4;S9R4cg|JvgR^sA`e#(y9c_sG}_iiM)qn>jHq0W^QM?z_pZQd;%ysk`}=$3 zVV6IofwuA+n?ud!fqQAMq5U6Mp(@&I{%XhDL#@NWDwp(NDrP^_-_cITW&i5Y+_?SmKpQrhTy~|z&lgkd;JzGL-*X5>JeMmaO8)`F z_U{JVm16kjjE9Qj*V_lsCmcVnO|`F~5OCXB7&xC7{F9_mz7Y7FnERX}E&&L6!a z#Tq^vw|m09>3lzJ?+nolH)pr)^rPl?%G+|SiS^Xuzzedy7plbL|6c+y&tKS%06K_b z1w9>Z3G7}BG_DNP^dCQ46~HG_9Mfa#JPgKGIqun-MPomiNBYEO&D#S9;a^;?Xvgfy z(yDSF-q(Md_l+;-nu)j4F+Z51$@$S;+}ITuAqpq?m4fp^I?x`B)$5r*Ex+NleRIR) z=x7+q%;)K-vY+MXpvA6@l8J9^rKk()!5OKSrwtnU)E!1P_Roz5W?HKohRQ737Nk=RroTWigo4Po-a0PoC#yXAq-%btnrXvEs#4%Q=w<}ld zlVRFk^=aIYvG1jbQs3X?+UbBj*eH~dW%)GIfhl@)lgrQil3D4z-kcj7;PV~mpPBcy z`1|(ufQ|Xe6`{s(+|-Nn;wANhCcb%Npt_z%2xnZ&?)iG2XI@t1(P%>#lO|I%tOOX? zc?-Sj?P@`~mxQB8Ihg_Iy-0sZs z7&dj0{$L*Pj{sc3G`lD_#<&cJ@a=boa$RH@!t25>%Z~>P zU5qw&BdGo!LA{nBUm5w`&5k0wD%XZ51{{@75ZTL03m4voo!wsxlr`$zP%fY;n?!F+ zvGtFEZv(%<-Cu|LO(=NpswO4v(0p=xu04NiV2ICg6j+uqosi-N0s;>X8SWR#L|GTR zH1MB17^?Sdp!Hn9EW6=?qwRltYObAeTfn@}&(V#Iuce56{Nn1slnQlD2@sh7N*U0D z4ubC-4eSxOOB6gOrb68H>4B|hL4BC#hJiPn8E}n*DH;=@I{ibD?@KuS4q`O?IG`1( zY;~T6(*3&{t$`SwrhFL*8W=V(HD_S{VoNBut87Pj{VM{~y`hlX%Sf=^BfK)3iv&$; z8i%c>H4RvlM;G^BA&NehH`)-;&2Fnm}V1Sc2Kk7StG% zT|(nd?(+KIdQafAR=^NPOKD%2VugK_6c^le>Z9>BsCHoV^?-vAS?nTmO~cXHK5*P@ zz;1Y2eJY@9F$nB^Hbv(k4Psm(?KD;`J7KKsbVZrrVAEIyo_4<!k6`Q&#ya@v z!c!OezlisC?4mR8p{&(gxLXCr7X(IVlZiar@mD9NxDnGW;p#J?9J4F^vb^w%x#phW z4tAteJN&p~=RQ*P$Jg^~-=|}4%>(yWf#Df}$+>~D$_L4;S4K$Rr6twHp+^62feoT4 zJ>r&7`yLW7Sp59PP%e`+YN_!mHQYV&u)s2$v~y^qol`u6@rIulvG%RQbIrw!U2A_t ziYw@3i`v^KdsL9IfEggS_H4P0M|iGkK%tZF?vmNExPv;H)pcEv-RF&O5 z%LGLlqDW;<9Wg3F?b1=;zIcYt4FSg=a_Ijd?(Ksmt?E2a^O9Ly3Z*kK6A&6minpRr z}Udpqa+ z&hMP;!WXj*wV8YAUFPQk`iSa_p^D4B9}2rH)8-RGt$86}B1?O}P_Fk>Plj?*?GIKA zE={rXkwB$~Ll62-2WFoQIE0-)Bb3Mbo10=X?cj!7t6^K!A%Qhl2MqGsf%l)IxFIlp zFwk41xW~YZ%=WD=DzN45K%G`@K@W@p+^|O|y5S19X?}z`hI*PBEvmr{*GR`yyzH1m zPp5MM$2khc>4PR-a@x+y-PL^3Fr+hU$Gf#E*Lu95{&|3^ndoo0+z>;VRZ@E+nw8=? zJ;jMehXCAp@Vj(7H8l(;Xujj?)Y&a3#R(#c5uR{*a-jSqGA-JH0G`D1zK#AZo)Iu_ zZX?dk#KqyYp?c_x`uAstgxX0*-^LL8$iwd4`NCGzaq>W5cxS-=qXeC_OFC;4Pn?pu zb+EIO|3Ew^!>e;)#Cn=)fNs;)Q2z~AuPA1bR)sTnC!vPZpw2TN49IcEf2P&S@k*=J ze&5C;)4&uaHY?y@}9`%i!89-LYYC6C(aO zb@2!7i`Bxv3cu?JYW%TK4fv-w^UPZhVD#*}mGG|z>zr??NNzqJe<9Z%*%dI2*k4=U z2%G%1^&xEf$uWVlDDdG>zehXVBC?xG&QOC__YZVd1nS)NNS6-MUuaN-lU<(Mu^~`l zN7eHIyLY25deJ`L)q!?kU4yT6`+-?r4P+dlXa|T^p*S9QK3%_uWm#Zk(^-PltTy$G960OK6Rt<^u-V+;KRwM}qB>a>MLiUD~f9#znkO z^RmDY<=;(jU!SA+4Ae&h?neE+gDGMLdf>+Op_V=#&UfJ)vv`+;} zKF9!npppCpu5Gv=;Id*LuIV27aLuWQk%=)}EAARLjqeNe(Dv_QU_C|;Mul{Juj{kh z+_*BJ(x~?n_~+Q7EWo4uOM3-sxQxjsp-`zS4hb~jno|Xr*qwnJ%67G&gVqh;WNk~p zU&1sA+Oq>&59HeT&Oix8pq(SwIl{HH;G`*se}j{0JsfamXv9G!l$}N#>fgv+a||8* z_fmRG*}jWuRA&eNjT7Tzxv@H+p6WL)s8TdtqJxUQcpk->Km$E>bLyEp8(5z5kqfeDgnqsr^+feN9F&}XyN z2PpMAWYohNUpXjHdn)h({;K_KzzLv>K1*19a}IbWP`@T%;K()lpYE07NHJmt{p$lB zJ)}2#ZGDQp>jD!*>)Nb?O7lf~SLd30@JGMHBi{y)Z|gmQ?j3PMc}H zJ;n0dQz(cDG%vjq>emAebptJ#{jEUjqCoqo!1%;K?fAgry90)h3>|D;nc}ziXpSAd zt1Zjn#geswIUC<~9M;694JTarWGMGSEglfcb57Kz&ZYdvM*=Rt{pbWpSJUJ@`#$F;>0XZT94)i(#08r=PApf(q9m^a>|b-jCYP3P-o zDtEv;2CiM38=k9Xm)b%T@BVmT*}p6&4b;%d*U`zPn*t_qxec%LG5!OW`Gy$9r+MV1 zfRVQGU7?=4F<{)H`42<2o(uF);O0M~xFIk>i>J7%<#p`EEh)B9Y8N)m0UABPBRDM= zX%=sV!gDQawu){dfpcO#SDPMU@DR`K8?f_tH^=xpDYozD#+L);1$9t)vk5$P()fni z1dgEea7%gOE!DC*;GLz%^ZX zb5kgnML@%+lNRICrlK$OtSI9x4V2fEgHm}@9p1H&2a3Y5MAoB7e*+<;detLpegWlPkGLbYop=;GEM@?rvYotCsK)3+VlXmwxN~fLYlsTJA=P-WNit)Uzn7 zF=Wqy{0}Fm=y4pYsm7G|%|LC3;&pFG1TrPnV~MV`cTf zgPvZ?ch%0TL%mrsX-v^c98^(9xY1S#)jtgE#Z7_nF@fpofMY2KuGKjy{`+?Z+9w9y zkY;L!_TF5p!51yw?#U$xmto3Y%a7*n08Sd(aC@DjaC4`PSvGg(uB+iSUTSv23_NJ~ zZ!d9;N8Baehcel6C3P+-`bfc_vv5jbWVVlCyC`pVo3r=-jL$K|>LP=?W>%rVm3D~Y-N`Z%_HuWYq>^oMm-o%JTqYa(Dz;lRnY_!^h_D4uTQam2sh~S zN@RkMyU0~7hO!#&zIDiCcyV}mZWtqL@*&;f5;7_lk5hFlzw)tAV=I1Es3tY=Ff_AW zed&-ExdP(?N@wpBYe?Vy8g-R*O^Q>j!e0q&A&<_50W%=znV~060{i4>+JQj?|++a$;xdnrFB;6Op@vGji8H#XT3MH`pT@ST)U0 zTQDv#g2gU3Y{90@g2qj~NnMTU-xlkuaH^{FS5r>u(EHqwEiAl)x%&D-n@*hpJGOKK8MED%aX~apO{MpjY)?K;`Nm z&9$cjCbxKy#&S$m?fjqMhN-89%eTOda@-FraeGeJZUW}?(Ssg*(MX(DHFu?`W)ES6 zx}iTc+;+~fxmLQsHKBGeI2pmAMeSU{Q~N0uFEeKPEh8+WCqg+YXnvl%e78*Y(8O|v z%eGLaf!R5zohMNZM~q9bQ{8X?u6DXw`r?FtJ1Ag~t*jQnh$e#X@wGl*D@Rr!x0SvW zCA4k3Y1TXnJUAvWVMb729cWd7>NqHRh?O+jZeo@ZSq%v`Y5sH`ism~5`W41zGfI%L zN(DFi3^W&!;0z`{QH+~I*_F?{6sn1g%IeJ>p>$*|YCpu?C@2~B$fG<5*QQ9z2&p2g z(X5ZstS-81n(opx)Q?sKwC>kw;Pq&%-GoV_J87@UMnhQa7XNV-%8~TiRiRvHuG4%Y z(Pby*IVpOw^zhet7)E&VT;a~DaEx=^(Wkj~8*o?PER7iZEza#dp~`3kefb&M{@Q~9_k!-a zGn4^{F?L?UEME*&j?_IcRQF31Kf~SAfENRU#{$*96dwlO3SgJIhtA8P+!x(I^_Kh9 zpYG(j!vb#(y`YXI>VlQcpe3`T!0^;S9i!9UI;V3D?|2`oQVu@b4+>?NT^krZ9nj7V zsJS?<^?1mcajyT4qs?e}<9^2 ziZ$$GN)z07GD6#3l_}c(8!5VXQ;i{~+oiWl4-fS!tb6YsNv}heE>F4KKYtky9~|g2ba7?C&~DkSjZZxB z@j&gRz#C4HMqfDE1R=j6Lxbj< zLty-Bus%f%$3bN|oBmV$$2|d0Whhx2w6eq~a5wgJj!RmHrD%8OP}jbDpA|fU4Qh=O z4AHpW46WRbH7@TTbmve>Mnp}X~Iz)A2+_|wsRKvk~ehw3!dX~y?H80xK8Q=}7_Vj2dC zHs2Y_8Bi0mZ}VM`MtTq5^+#quSJ<_QzA_3EiE^()Ma~Ih9CMs%GB1$NFooX0S(yP=rrs!{7 zmQV8fiq|^A#^gC!;D2+E)KUV1TrSn#&YwQ((MLV1NWCX9jlB@wJW%m=98RNS{aX?ST>+ zp9$sSZf{4Z$pwKWdUnTu=8cRP|F!!8e`;rh656S|D}FtUHBX^7<~elIjL^}2p-eFv z(C?r8WT5xnz>6mbT&HsosL~v$UD9dR_ONrZkfH-Vcka6IaLFaPrqyoQ4h45#!(2QE zNPl0J?B{Z=gOK~z1YG)Uqkk^K{q%`YYNEz&D9ok(CY_ffyw3YVEoTP1H|@LVso9VU zs<`zQ|8ZBKbz5LLcdNI78}A8Bag3cU+(omUxDU~T_QiqW1Kd#C4-K{b^8szuEeSm= zVDLy_d|;sSr9e4U;WQ}6by$VjfzFB?;W^f`-|y|p-Ihjz_xXdJ0S9;P7%>EV2YOYO z)KGNuUp!H>b_@@rSHokufi_hy1R5y6Y272Fs(k+xsdg_7=yDBUml57mx#j@8gS3i2 zKmbnhT*msw`V`AvnT??|lKx^Sd-md4QF*74My-tD{p|Eyt57pTlRv=!O=+s*zix=K zm2T@a)bC&^H5$`DGvKn=7}FS6f%3ESYeFqJ>cc9=c)icPle-wi40`XB$EE2q^h2MA zsP|@?zi?r|ZL0sc7wRXBhn$HR?r1*C-BSa7HFk5TIxKPOQHFz8rKoqD-wO(L9332R zCcJb*s0v=y(8L<5XS}%VrI2+fQsdCT@`|h-Pz7HGNWVwlW1#GO#BJ2nXrn{>2`s52 zo&g_st;3LtnOKdzbFGJ3$Vum%o(I3>q+D~d_az!_y4VF+o;GL}q04|1Uy5zLb~XR8 zF5n>5rOS_`RFVMON(-%F-Gll%x>0=7?V+4_mU-w)Db_#DzuguXJQtY9LAl7^x+B!%_XJ$p@9B&% zKSvKIFMA}MQT3%jkI6;zw7^Y|1xEV@+S>vR%(V9?@KC_y7QK`+O_u^p|8C-p4&518 zo@xGvyHi|VNDi2gZ&e?nhoEMp6L z(EJcE0+4wRncHQ#bIq>Y{-}j~T_rP+d@}+aAy8+jWv+|q{^nf3edVUs8ANCzE!XIe zL}W^BuDQ06kz-6lon}o==^^S5@EkT>A(^sZuHh&J1mM;M zCw7BfJa>PhSbmYz>StFlSV+@~X0yMTI;F(GNK|>3<{F?uDKDSUce^ z95+C`h`pIx(KsNKimp=chbj+o$eujs(w6?JOriK>9|dvp<7O|N%qHsh_o&~Ie8T{C z7t5P{Z=m}{uAy8m*K|<^Q`RTbP~9^FF2YSv0goABE{}WPm%V+P9P}7fbV_9z4R{gWwz_zN5ff1em;82Rx z-u}DmQ?8->(On4d815C+@u|6w2zt@G+~Q zu=5jWprcKlwDAL1Z?xKH+PP~?utNiDHW24)GC=!`Q2zEsH3x;V>US0L0xj1}hcvoF z^PTGsJ`MF;zzr3;%`R@!T)#d-cJa9k-)^Ny%ZJ+n8fSB7sInjp4@@8U6IA}MY5qo< zHFH-$NzcNA(Wbz78kmCzuGBa~d;RPb8%V!f1?;xVs2=4XzCYk_e-6`q9y2wxTRS1t z8VsV=53Hm|^qBDqcG?dX`=B3ep+40~fyR@85jJ>~)_7qk(_!rWHl31Ua{|D2!(OJ* zz4OWxb(`i2mD%>Gxi;9&!$@H~7Z}|e7$60I+t`lpZ`42gy!YkCZy|-&b%7p6=Q2@? zPHu=gPO!li;%VI&Xn!^^gP`2{R+f(LNKt9^(asT`wZgMH&}<>R9k^GsshoH^058jr zkL1Siz`#LRt&`E_i%^dR45topOQVMZM%sGFd^x7-@huLvo$Tr6rpSD0MWA+Bz*vhr zU-X0{?&{p^?t0S{r&zqoU;NtnDLN5T`5l)SLOy9yXD zE=NaTB*rmas@1jVMhtDZiN?)4!<~7~9(Kz6X0dKPx;%XW<1{haY;~s;YcR0-(}C%; zJp4f@C5WQyhFw`U1nlzYR&>%NF$Z4tFQ+*3jeydkAw@Apj@+Yv6NxA@Jt->E>Kp zb4_4mD|H1(b!>aJZv3ul+qyMWu~o$Aj>FFLp_NadpC^LGb&G+(9OLY-e*7ce6cd??Ud$=w$M zqX9+CWrP=f2^PPC#~kt9ji{)ZlvN{C4IW&KiaMSwk%_%hY@v>|j|bGt-E1z%^bTI<13okIf)2wo$36;<)%rP4*C zFNWaU=DT@+?xHFt)sz6lK0Ja79D{lriFWs+UeDyTvH}S2E5?5&w=ANu>*!+4!SE0# z?NZnGhU^{m)Vz#WjtR9ECNAag=a~p7oIiD3tqJvpb$j^d416lDE={q2N}z*s$u)oY zrL5rN*PP{d;F^=iEzfc7^8o`cc5+K!Nb$`J`qb|YYx#Sp_=cql>bLgnfSp&Z3T5z7 z&)Q)i(nb$%J2KEeD&QLPn^!I{7h^5%9r@+U7xbKO+GW~1HP?DyN6al;;Rrt{DsYSeTMDmC^IY^%Ntz+h_)Kz~5X%L&xD zzOtzfbM9iv4hM~U{{?Sp(S(1>*V-EbjrRnm8v|NY?}1PwJb$0BO}-Q;QO=#A#;9l; z(=}lKyHw4?{puLID_9ju=pf$=I+fMvg5v4WgXy$Zps~Z_14TS2rm6D7-w4$}P}P$G zd;243ubY4!($%j_v3^j%_@7e`eY>sfqKWPGf!+-~a$Ue>UZ)u&8r`S8qve4snpk20 zG}>f<7JZ&8Y$j#4(8=0102l7edH_q7!z|U|DLM>w7~sByTW~UKz7`nK@(GUTicL^h z^6w%yQ^)UE&9y4fo(2|=3yjaDxF)cGJ2auBgL=CysQg~}uctV|;{BO`e|Ri~5WoZhEN=$dh$yaLlyN&cS&j|7ltfb^Un_132Dd`RPHILFC-p1X#0>61OMb7_2h~&AyHa zX(WEFh3m8b7{Fo&StTt1nVWQGbh`Jh6sN;Lg&r*Nuv2b*gg=f~tQ+Y&X4SPgOm>5i z3&VEw3z*+Q-w4c7d(CeFdwU%loDKr|c8~G4&Yz=g>)#%5#cpsxsI{1jse0}ELN%%1 z|B1@mVHn38cT%jVPy;1&6j{!_r1rZ}pDwC0MBIj{91~6u;~N&B5S|;I-mvzBv<5E* z93hu^?ba0CEbN%Zwbar%@QpHGuybHMR6{`=NjF!7>d`>g5(d*y9zwYv-J-j7wx1ZP zNqgt<0!?gRi?`e9V(i9!dN^MvcH@J11T)n*oe2*x$saWWu1JiY2(>(HG(K4(323&t zRwZ=xJjK(1eFMus22&E>@6R=PU{fzgsy{%g&fb?k7^*uBI5%jhJ_{+f@h?V6+@IpP zV1}f6ysvduz!*T!|3F$(^u9)y6oub(>s;xQEQ>BGsI?``0@CYwxT@kPeukn_$%0qScrv`?e zZHJw(>C3Ax=eeT;ZInUv?zTczw^D@Js`6^2I_0@X5u;T*w+f}LI#TFS)1p`Wn+r0& z&*6g0d#$5#!`q}F?@PyW72(QfDUqEC-G_fow9207CX29s1tShHnqmzvj0yDh1 zLMNxh6iPOv+6kK!k3;cYnB*G7xciiV&cp2OGJ(N3OR)9cPy=+b4qw{OL2V4U;Zmn% zQyrNrQ8D6eir1v<|LT<$kSU7t&FtY3q5o{6tHKYbO&g9EPW&#vb= zbh0c#91?2nO#$~M7%8%=RPPNSny2LyVAYLzu0j+|Tx3mo;J%zd8`D4GPHtcyrMp8D z&A`^*yBO9%P;Sy|?+T@NY=1e_U+oN3bZxU(eCO_fU7JU@yB_~E68s^8YE}W4IJ^6W z(vs`6(ukagOwAmcqFGmlm9$mQlvu;p^syF~V3@W#!QHqLXM}G=V;a<@;#J*E+(lK) z{P8dwXSiLSQyts9pn(V%r=ex#ZWyAJnD+*SESfW?uebZ{<8%%)qF4?T%2hhXwxr;eqoJ ziZ1+*XjXM5AU7B;+>3ZzzcldiW&Z6b{_Pz8O`rXWU!%AZFHn;3`Co;i(zrQcEC0KO z|6PP@6TVjKLG6Jhr~*_&7c{OyS)nV>3Du=pGb;nL4BGTBo`Ryge(``@bA6$Oc(&ja zOdd9?#EjZ?bGc?tZ&@CoZ**uqWFpOppp-GDhJ86;0>jQjZ57nFEH@=5^C_&kE zp$x6{ag6PK0}dNa3nR&zk(Q@Qp?|Nyrlo1%FTWO;z%ccBHC%Ht z|041*70@tsO2@Pwu%HdX0Hj@iR_RYhotCasxJg%BC2gEcHYXhF9h_qdVZVQrETWjlvJ@v*aP8?p9kaib209jSX~yN19?f#4>(AGR8qvMG?9{$G z)C8Th|5#p@RVPQZ&2f{nPj^eW6yG{5H(H3Ne|MlmQ!k;ZchJ;Vjtta~57>#!!uu)p z8&SVG_&jCIphh$w;s*a_|NB-Lp~!xAVJPM1$qEDhck3QOxoT-(OFMEf;g$|X;bFbw zm-8PECi-;mE--oq#9OKO8a~-RJKzF^e%zf5wG(sA$h&MeOTZ-F(S1CO0GvD;FLC}c zL)#`-a+gZ}yd5NP8v+7}0U*o@0! zWxn-DiWP3S`6U29>GZ1uCns2x(kih&TK;}?(h<*g1ZB9ggalB>o=yQ~yIxje8F=8n zLaBw)jr=vda=iOv%*x=N4%7wi1+;FAXg$KgG0g-ubDCQsEI7uot-LXmBgQd4@kN@d z{&~c4*`R?tv~9Ir+@&2WX@{!!p0h&rP`&RW%K^>mqklGQOtTEjbx#k~dV65`kc&lJ zUuP6hxn}Wo1MEl>8Y96kB0;&K)3?8LI5WAK=MbLFa#rc^vQ0Z?@CQ!Q{IxH~e;oxy z#hw2;5^Pe_Pr}_L>Ni0EpTX?y-u+#3H~szWUAg8Mq;*Ot!*Xs(aJqgH%)S#An|eRl z$Ro(jVU&75hA)ONpW|zK%+-8t1z+0$4_s^Ozc_1V+~fR#08j#jdB$4slGH_nff~R^|z!gALq8>s)ra z@19WR;*1tUxsb7PT`1=%ZJO%5aZFQ<9J}~8q^ZsgMl^LR>UcXGAMMdZ^HsL*muuR& z=fmyK-9JS|?Z!rHLTOf?qUA&MZ|01EtDD>BxP~aU9uoM}X9HcT=48s%NL}9yyw~EJ zhlMf{*uyj&mi;$)|LQdGmyQaK3FShIdzXHQMwDMPK`k6!zMZ=GV1I72PF2=1Hg4w{ zA{*f{s@nqYJlM98;vV5`K_|PZERJS12KZcVNM62l*-zgIrlBm?x*-*OD6M3#5*bWn2(cXlqwJrqe0Yh*Dy6tja z5WI3+(%u~Ern!IL`DUZ=7>xKs%pl2eqJckLwfHIHM{`m2e#nICi8(2b~MBlc%X_oHWeJ+&*m*NncY2)S`d$$gzhyXm6@1UzfIkp%h5BsR^(aL{yQ@|)rNeF9E zgr_cUv~LV$B(QWHccj?d5^%KMz?d4J59n!Xj6sHQ&91F+V5r`g0`>tDlxx{1w&<)U zFjhab@$OLj!`-rt2Nl?j3OGqB+<*uD#{XMEDOH4&D&s!3pX!*JFK(MTcRA%V#kh2c%_8 z!*i391Evpjaec0}4Oc*+AS2wD6}krBKF`2w2(PYsA)uBRoZo=G&0w6S$T&Eb5s#da zYZuUtl8Jx|atY!O*F(VrBO)%oILT}x1;@(E>!xqWQ&`MhXL4^yR(LVjoX;$GS!2Zg z$FzI}tsEYzZ$ zd^{wSNeCS(=?K6MeAX9WTQk$ZY!#^C`Dc)kLl=eTo`xwbaYJac&RxE-EVl;38GFe| z4Qe(}bVxx}DZU{?2tk<~;F#6weDpBWj;PHR1bYNTA>n7pHI=g!d)&pna(uVbZHKHKfuSGJ(Yn2 zLf!!*N|6-h890YHI{gb3A@cFxWQX0l*WFc_$w{`3p|G?ijTcM)SurR_;()* zj8Ul(FI~cZOKhD6+K0AY3e{u;#f#t4K&93osDI4I8#JNDH->z?zag-kwy!fXVuS9# z#Us$F8K`#$hP>ryltF2|CO7sTYG|{c5&67jv>i^)NP)452bDJW( zI}l!VTELg8X3qGg@Nf1MZXktMc=%Q&jXD}G($~$<-Z~95eYDSTzk?K{Jrr6e%xzL;j*8<=LWMn@0*d8lTfbyA?rTv4uVXlL&u0Y{PB;6Zg+zyY{%?*^S_>#4x1 zQv+^<>8i?e6sg~*4i31s^P8A>IgEu_s(G|_ZLS85@tr4QdF@-d`=vnbGXY1ICi6It zcQWc83G>oQ925Rc&I-JMCi;tj*P)5u!myo8{SYR;dQ4zDI(Ze$8J-#N$WT+w%&jO} zJ`rPeQNV8EkI>i>$a|6-FvkI37v`8wDPQ~@+3H#D!jc(TvYkg@N#}`x6O(^{3vwx7 z03!w)0-i;99TN$MzeD_~VSm#p9U=E#2#dZ@lEYI-v40^Tfsr!d;Lv2R@dblqA!UXR2&^nj=)-Qx=d_CX<#w9vuG395| z;c4Ig;( zItu)IX90+!!(9j4{$jd6X5zT%RdlkARF#b5&c~39GnNrv>VJjL{tU^OndVm7p^#7J z^)tNQu$KetDH5DuAJ@}?pH5R>#+BNOZ+&N|;qiet9Ok9Bpau(ghTcH{DnEH5(0NZl zpWR2z*86(e_HPlqL4^NQ3su_`sPb2Q_U}(aU8Vct|hqmiCj9=L$xBzOOvNuva@|=JJf`zN0c)jPf zl=pow#VOLVR_c9=x^#H1#S3OG3Ya}x!N1y_fyRr0K2mks=R&gwG>;I}BJD7A@9xYV z`r`Y>(@LjgH9y(RyVJLPv-lzj3 zl(fU{H8-U=Jd$hg4Y&Z`N7A~!?ygV`s_UrbuXyB0G(ZE;!Ri@4?itukw9`|3)lQXbgmNi>Tl@y~bKq4` zgDQU|ep>BC(RSb`olG@Xgc|4X=LZ;3zv&ee9}j4&^_N4{d8xywtI>nyxxFoV5Zmgb zb!8El|8+ucOtp6!H~6Fm+u~Jb7`Sk4c=q4V@<=UEKR2Krbn#6^RjAe8ytH_gFYpM} z*oPZ6KCbsMP^%tH5s$|aRf-Yu7)aS)p`dymgI>bcNWb)NcZWKPH=F#rWA9K-(r0mu zE&k0T*&VzuV6|@isXq~_%HLZC=LP(YmOfTHdwjq?*=f+sWhpv-@f^cGwX(Wns;l`e zPy_pv%}CXNK?xF_onlGln(|0L&>aQrG+hpvE~Hp;_@3gfZth?nfprGOoLSFc`;+{Y zoJt!wKa*nToPfu1bYSd}vI#43-t((xgsK`8@o=tHHc_cMukYbsmM~7oqGsed3p83= z-Oml$b~&!4fj2XJvXg&vw^MCbC<9Cmf2Z)&h{zmls=X8_IcSJy<`}LW8>rKz8kwk_ z6w1zP=HyV$HI_$9ZY^_i+u=k05QST;P2K1nkZWTUX-vzz3xVd>0c~MB)U|;Ib#eBz z@WoIj(zg%f2HjH|I|qX>(ErYUVY;9Ybm;Hyb3iCYb+lR+;$2fIcUW(d%cWx|ij(Nj*f_lAUb9cuvfi?MiOC9XeYy22Dyohd?4K%{986W>D zhErGib*`NP3;|@`xC{zeI=ge)th=t^O7+>Ee6t*BvoDjU`fTUU#b=+E|JeI^UWGUF z@G`?JgIyG9ucv#uzv9RHr}(X{fqhY*DUQPF$YdJoD2*w^&(8?JqU?!h-v-6(q+bPk z*wzn@3usm!e0!+!gI4E-GFPp6K`4K+syaSY7qhCb4A^C9LheQB;c4s${3)v4ctY1c z9rekupTN4>9!u%}GSle5&d*&LnBbP?E(r{1rE^mU?=RJ$PejM7m4VuPU@+juy8?fOou8@N9>fh^KRhEagRW`Qt{UlH$JcT9>Ocd&4CxHJ zs>-@hE(MIx1LLQC^gv11VACepwD#_R@i0RhC9-pDt}Xsrpm$85nZLI*&JGxoHwZX? zPKtK^dM*zkH#pkfIKf51}@kXaJ{>Zd+p(Jn-vuGTS8j?Hq4+O zYX4EdO^%asC{y9o@!^vc?+a*+i)(ofb?h%dq4(8OfhOM3-!ZAa0`*m{%|Rg^L!FKf zTqE6fNUoXN=)m^gx{JPxm^pNGl)J;7#%T}8nW2O~)T8HiOszmLvDD$OEd2lf1 zkLPL?+L7Ued0t@nWQtleFh7%d4B(V;9n4vRFAG@X2Qb75Jm}HXH8j<>Irf=;f+9Y< zg(oz1Xa}Ng9U54P4%M-@7J6XvmkVjSk-?X9ZL~AcJ}jW4EtZEKxOnBh#g#Zbmuvh1 z@UlSmHLfAr&ba~S3*`WKyFiBB=FJ&uUyIy~h}0SNnW&^48GD$Xnrja3?6RD=+ZENH z%MBM3jVbid$pQXFp3b1-_HSjpTTijq22H2lx-InGy=k!vyT+i~|#Z%yucD{0 z6Tk-po34erKA>AFQ#_>VFyOMAL%ntrkHFnmQ7Jb&n3~hPJw+G!Jw?WlnZCWauRC&g z5!G`u_~7DDy*mSCfO~5wqi;)SV)IdoIFAl&FNZe6`^hc-Z6V;Krgn6wO-R9&hTa*WTK5KIyC?H_W~<6tez@~vx!Zq^ z|JV?yHbTKVqt5O>sy&cm6Vsi6b>;k~=R-MyGQm+lq%}IQak$XK`^>?Y({U(0xS^wc z5}kA-%#g0Ui+^^mJ3_0=Pi9~S9z0N~0=Mu8HEkafSZG1vUrZ>muNdPe^(wu$hUy_V zhiVrc9_ot-%IMLC4~O!nqa5USsN`$4fKdZGs_u>yos60`*u%Fw4YwmzW4F+UItuE) z6sm*5br%CIs!@9}FhErbH~5ADy6$07@d4O7OfqSYc}h$OF|h8Sw*u9B0R=- zzl}!J5q#;k?+?}A$u-*MhdeLC=#kyY^r_si6Oj?klnP@NyvYR}zBc|SH&DzzUZ6x* z>3hr<=)qH6t_JH;ZEahwm3#|oU>r$-&Y)qntGLDs9D__}LzVuGme;2N(?@6ep*+LD zNP@OyN|2MEimEjl0lUQ-O6Z$SWvH!Bv7%~bQ@H>obGoV?2GKzjZJdXFS^cn3--A~b zO6YjE9ip6OYM)%4o}#g;qp%7G;BJpFQq;j0E3Lox-cY?K1D%fq26b+rn2o0cZhvt~ z*24B()0EExVt3TL*Tbw0wcS;7y`IsE zV!DV-6LO=3`%{c0%zmCX-_85reFckWaTz8a&%MA6KHfvreIG%uYCcED*M-@pXf+l? zRlX0G;bt!*;Hpn;XRb95;|6t^!cGrA-}J6fUEbWB222K>p|dV$2ObT@*IXy@#4M}p zxY%L0PC>n|Pzw{wUEJ{FP3*k2{M}7FLVN!R>sftBU=?>)QLB|)o9CLFY`r$W{M@y< zQ3g-Ew5E0k6fKH-l#vo4SeU!olv(1dMLG-w+*ak=^?H?A1H}CUkLT1 z#{vq#h|;ESr1&;W=$n|3XB@Ssp|;X;7eyD}9;$kOz<`jc5sPrQxH(*K$=ITsT|tYg zIRH)6!x@nD$etQveB>7Hek@S(sqcci5!evu)1o>ps-d>yF9w>AP&_bTn5F+EinPN7 zfibG`hi3)si9Oi8PqW%I>yNSNdOhGWYKwuAgIRmY6|`gfh(`tilVutxy7R3gF5?Ea zRezRisIon$;Z&2p9XpP2Hy$q3vI!egbYR#=9&Nmt!@=64p<3H0-X9oXe#QWtgy_PZ z+}iD!rTjxQ*3M8Bopl_6xj1Lq4@ECY+SJ}z$2)Ke_PQt1`?)>Q-p|hKNd(}kwA;eR zRJ`z>I_nr`u@CvI!?UK2bGBh5W6m)k&9TyZZmzCBt}qcOYH4Q&7VX~2!u_n#N495G9E9sc$dZ=vv%)ytWMQ&Q`N>F3(i0BsPGsy570~s$chjN9tLR35pMWzjf5*LA z$^W95cF{G)v5qKOFsykccdre!KON9fSQleZ_Ny*7wf5!Vw*qLQU0WGgQw@WKw;(Og zh%aL}`hYq%t-tTWrg^VD70Tii>#1EDC`v<7KUDfM@A4mg{$q@26{QK(M zP|m@AJQK$5Zr_|R^%eBGtfyTpu4!*=(&c;Kbv|nfMj-a$(-E|-3debR_v$V+7 z&A-Dbf_2-AD=nu8;^5zWfZz$a*2N%Pd|p04uz7s0z4-t^IAk*D-{lm+C-ZPQI}ml; z2iN@O0|YU;UwU@ncp-Ox>DhrFKolcHF+!=|e0Cs8J;w5s(d3y>6MC>;bZp>jS8?N7 z9!88k#Q3Je0?QWl8*;;u$F}Q2jj)f&A%Tl-2@Ew71|t9O4hwuP|KaJB%UfNRcN_nr zBLW)_h{-^7nQ?K@&?sNJ&xLz6A*cUg)?d;G30{B6(Yn!%)!qcq?VDzpoj znGbZZ9=EU6z7WdcRt;-(Pl(~vGO^tfJ;t@e0?QM-2HbUG=P1ar@&JZa zc*63H)uEdGz$`Z$N0fcch@w9SpyOt z*+3uO*BSwrgZ1cl%yA9B(SRG9@C?cH7qxOPpC`nJ`WA$LP6OAbZd$RG{y`U9E&#g4K+r?{B^zF zL!oMn$l5OlJSELF|Bfn8uj_9F+4cTkXQj9t8~&G=!3Z@gJJvB``^$NFUpqN43wLEx z9YdU)7HIKi)w_vW4AGa835Z&B@>k4$NH6qVRABXy0aL!J4~1&340xJ-3p;Ww@BS!* zt*;^JZy{+XU0RB9Bx3;MNp93G50sV1qeIz6E7b~@;puj!q!qdC#eX2snU8Z9gZ(6K zq<>wYx5uL!y;OpRarNkf+w+LON@tEz#fYbON5F*p#)F~UOm8%xy)H$4L=71Y5y}vu zw2_vZsZ5zuG6w98V9ec}ySov^4-my2c%+M9T?zi6rxkT>Qx^xgPR$+tE4;F6RXg96 zM{3i+v$cSJ_w%rLFbb3*HViW$bQOGYtXJI?s*5^0s?zZ^zQ%L7k@}fXc$#_@XldBg zZ@=>c{?M0^$_cjmVT3otF5RVDznn*~OVh=An55P?!5X)m5in%oRR8;rQ^ekC*8{Z3 z*q2t;L1b39Y%BO!iUx%Gn3cm&4~uaX&ta&IX+NL4W}G`uso;>IE9Z3e!&02NJK(g` zY4ZgLz%|^Jdwgg4?$tcEAu!}WjEk;?5%=%lT0b!JLSQ@>P~jGE3cXgKz8Gk|7?>dB zKjRxi)WW#W%zdHCl=h%djvbHi8$7r5n80Qf`1bb%rdWLQ%Yk|B9>Lx3W4Z$b<&nC^ zn~b@A?jm*sS-HMGe!0=v(Os+9#$40}7=I2Rw$Iy`VGHC@Z=YrMHbQy;{f?K-qy zlcn3pT=_bo^xO(FGzN#{hGyl5O!jDDGtI{W?oM~$fAZNphlVxykQgWpY@YISE|d}zRst%l>`izlrZwK|KoO&dI{ zEub`Yn%`Uzuxc$@zQ}W1P7L^Cp4+i4Co4uyZn}`-Wq~m&U)(13b8cmCu)O5lz9%<~ zzOAHw&I~KQYjEBmuWRL2!=Uj9=JWxhYHlkSVCS`cfR%xBu=Aow3WW-_sgS?p)HoxQ z9lge^??%A_;@G>@4K%H<(UJj{HO2{8ln*lx26nes-Zup@LHo|>KFgt|yNM zJR7Kw@Y;t33}|?)dK=-He|5Or-IU^(R@P>LTA&WYns1|s5;muSg(}cKH(<1975sa{ zkZEO#<+wsTVGG0F8*!U8)YQ5W*^+Eh`lqI-3OsR5C{=U{T)PG&UBfl0< z;f!V2Tg}ka?I?{u4bi~gyX@{NqbHZjzYad9INB#e^$!TRg5}ua&A&+gbnd?SH}ALS zTJM>_;NF0YaPhu}`Zy-+tq)~>qKVALKx@zCTA5nf^`a%k$-t)nZ+^6VJ!~oi@MSg~ zlWQyB%a8Z8+|}^X=w5C#>|*f14yerH>dmF-0XH6?f7G=p+O`S{aK&Vd^7pRh#s&aa zRl=@}0RHSV0oSo74~No~P7t>tWnGoK-ABmRk<2a>eTnLxgN_@5b3nR8e_pK#{PG{z zIVE>H&+;4^J9>iRmHB!climOcje!@*n$>cLX)@hD(Y9KF8$*uQlXM!gs#o% zJnjtT7LhKWwAY=ThAK<27;OLafNHDNdTg5+8rwgR8_R0@j`LI0ulHO>|Y; zQuNr={zIYc&)q-0`~y^F`C?i1kp8UA=i{zuyNJ0JcjF=WU7XuIuo9R-P`cbYhV8O! zpYQ4l49dP%rRYSl+C!CuE1XB0Yjwckw8Nf~Wao{$bHk3nlWJx*r#QPYP^U#D^NgC# z(DEJk|Lrxinr2Z)gPGlvLUmBCF%9hFuIVi%W6W9zrkgcO5pGQL9HP88g=44E~pYtN5;S zc7J`>*uMj%k~Ivj5b1Te&b9Yrq}4Awo3;D+WMR} zH~bJEH?+~d3knUphvvV6n*9{jE78WeP;K5)Cx1nUcBU<&ou9`X9@{ z!$Z`~+bJ4naNV?G5aWp3t&)8{`LoXk z7GX)rq@+Weyc}?$Wk6GvrDu}6VEKEe=UV^m0kd%r!DsjBPAd3k)l45XBJAL}enxI= z$NPBVi9ODbU~KUM7l-N{7--OF1GNSl%treF{gF8$j7Z)xnFg-1i$Qp8>azRnK=;@{ zgMLdtX>__x=d~L7esd-;z9=xkYE7nCxiZw>pAWPdQ>#sLG{#A~nb7*v|M+CCdDz6{ zBcaSw_-(Xg{pErBLZI<=sHX#_Z8Z;qx+Gv{J$@?G@=+8nw2ZIGHK%SmGLPY{>oe_J4-2YOp z>3Gb;TemGmV=euCL-ijHxOGOqF?=+|&KClnh@oUUho$%z=*FXW2kaYP#Vt9OzZH=! z<*zIo8-6$T|JLicc6GqDa_cvjgyyX-XF7;1h4&UNZMpc*S_pdEb|F^+r-%yE(WGFtB4XRi!Z z9UX8b^N*0P(S?uG)IRT9$G_>riuzodVqLD$m@>~(C;1P@W?EhubUexbqG4r;o&T7@ z&bxfK2iq$YZuX3TOBMFIs#FP1VHI8U#h^r4PJ-f#+~C zW4!X91#AeI`?dx_Ih>iC70Nzfc9v_5Bg)7ZGc{$n_Zy*F=(yd^EPVD?sC0}9%B{6F z&<(Y2qt)y6-j|18yP5w*+ye$SE-lz)mBb1Bnj`q;1ECB%ct*FpQm;(;*9=^`)Nn@c z&ckl0+=4c_SF1x4YMTPukpsS(9IA5z$++LD+AEX`BgWPzFHyuob@2MNA#8tfMZjo9 z{g_Zw-t1C9b9E@^@h(m}-dKERuC>nzR2KwlCkFadvWMIjKNN7$r;N?81s8$!dPR(T z6u5p$?$*&9vxZ*9Bb-j>T`kSGr+w8CqzqlOwT&)p=&PY^!LcfEgcmWI=l(MH1_#ez;xptw(1!RCZZXC zF(tBOO5BmV3)qZ8c8^o%;uL!i1l%vacxR{~&ZA`Lekqjm6l1R@1JoYNwKpikLn)R6 z>bG$N7w!_L`8l3d><=W^dA*LyaK7s9nrqP#&*3ZGCw^n)(SZ}M59qiLL=#JNALZ)r zALwBLZ8X*my0x=I-G-_hgbQk6Y6H|~d_+JkSv)>e_XB|udSLw2xVOq+@{$`gREEiu zdBn5|v#ni@^A~kWUgXoc`>Pn(7$LWw4H$qZ^Fgf4zUQY%)lkHbX^b6T>kzJen&NYT zZ5t^fkKTiU#$uq20Nh%k04fAf;rU0;2OLpM;CP9oVu<#aa`#7YNXGsM#_kKR&fCg0 z{w3U z{FQZ6_gXH&anmK9=Jh415G(6oQ4_w=m;^@c!0-wvxa)XGp1NN{CVrRx%~NFR)&=SB zzdkU=44j zMsQ6(tE1la`?>bzKx=2fIKvd)|IOh67Jea+r}@O7=0?>gkH9TQ4Hxp;8NvZ5m`4+?c=vz>3)zm=_=bPj!W7d@4+ zKZTusqjz1XAu1}@YHH#adF~MaZZr=JY(ys=;2Pze$c@8t%}Bmk?JD8z=-+zu?=N`7 zD1;rP;SPVMtYnim|Msp~m<}pUz_g}zV+J^_?hXY19;CG#QgIAY%cb(;z7D{B)fDB@ z?+!m0YJvaVd3(Sd5tE!;)^WJsppql1TehJf0B5AVX{fRZ^KGGA%Xc-`MViLSTyyVm zhrv#Rp2X3^)&sb4A%G&Z7XqEH2XrH2#C`iEf$>)Y_3hl)959upcTK1o9l-?g45|3< ztL-RtjV3g%4ye1PKn;+VL%%M@J~%BfgQF<(x0gd1V|-v&D2KmpI%s?&#eqJ8x(snu z4s09{7~%T~V*DA^)#WyEBWAXmhGSf`g#&OXUKam`Db}d-tkqR>ctL~4)ab2>*TZJ2 zL12heaKX}X#P_hH1u9hZg-0CwIIk#aLRfN11bQIUkS4eq>B&`wsg9=NO{;cRC|6&* ze8^7ZF>V+}dx>sm2Q@V$e}{GEKRlpbsX8W{MVorm%3-oY`{BhYnrvR?jkl(#X*dFH z$ZYh=@QG8cS824_$1aXHF+`UeTvT?5xNv-~&72f4d#8R-D8c-?{-zZDnz65)Fy}R^ z``%D0T!q#-m#hwhf}KWU%IZJ1@P-@9kLYBM$=y|_@W>|uDpw6{GUz#bXs9WU+vPKV zPVc7()RQ+Y>eiQG9S^SsUgLc|zP3n(jJnKI``w2GX1Jl>@Nf;&5OwSSfYG%%S$di> z@9yW?nfyoj%|D6@@Y#T=N7_5ivG4hnnJUGBX`#U4+naD*XVg0Wo_@E$Y@08<{+?I zOtFc}9pZA$h|=Zm^ChnFmU37EGSZ(qEpsshG9s&BqLZobEre=*9e9>&ysw91PPb8fD6l+~)Ns1r$Tj`*5`sDmcBSU!y z%MI9<^j043@Nt6!O&BIsf&;jl1)ADLs?JS~o;xw_el6EL39I&GsM^yMeF0s9(Xy6o zx8m?Xxm`_fP{AQX0nNUkcfkHvH@pB#+@)(2#|@_b?`kB|=3(7~VqASe zie;^1@4uzq@S($Ut$Y$nJ*c5!rUbbX*MpN~(fjdG_IVzc)X=#J&+{Lsw_~{fk!tks z{@aHa4h=P150q4fGoWC*-cp`4y`EL)yS)i!>7JcD=omX_> z^AKry(oY>lGGEF;Tc3Y(P407yEetUj8*ysX*vMU*z^K&c=1&XNr$VK_q)RX|X2ida zYpFlNT?TSxa={BqiWUN>s8E{<&HHgRdyiL{QjGydtkW`fGyW7sG{QM-2kAR$(9Rbq z4%YDqg3|Ll&QWd6vT(TSILy^%{grW=>V*7<&S>N}P$^fOidrC^61F~q8&?LZGXuuH z>_`=lW~!gmGgzzXSNY!s0L`9SdtV@&oooK@W^Q;clYALrdCp?|jhoWtZ{iyNQNJ-z z;!;$@V5>{#qmxsdSsN&odMDG;%3y_V2G*XwRVa~MHy1=l;BebKoA~4S1&(EkhHt_7ImtYZdomo3b^-r>HI(Szv1>uM~j zqQ7$0XaTMnlQ#UROWVOq2k3!6DOmkhD5IQ9=Z7i=dtWH$zguZw84+y0(ksEV%Po7JAuRJN>EKo1d@AJs!fK!>;ctq?4(@>krA zLHDh2_c!6LIcPP$QNd#8p{_oB`+yV;jo-_F%1>5ps4D{oIo6&Ust->G@YF$qT6Yw6 z>0K4DLtG`DrTs_p{M`)e1jv6LZ1_ZRIvn^n6s%L#hFNUjJ-x$~D6Y&FXz7P(2)I?t;2Mpf~H#tik>P z=jT)IDj9>QH$TpEeEeT=!_oEh@KBDgT>O)3`UBmtqc1xuf3|Bf&BOZ~8&DbUKOvO+ z(8lQL^o4*6!zGc0eqlLN;-O0^Vrovhmhe7Jxb`Z_?-=u*XG1l%2g>q1O6|bGg(}r{ zE44rMIi7nESPVEZE)mFwxb|4U;K1mxP=9t7*J$M*!kh-o`4E!!*Xx?}N3H*xviFac zwJPsCt)dDKM}k#Q1qcC(8-?RV5%5j&@k11=LY0>UFZYNb3QF(?pdj4$9&h9I z(jo#HTYepnAlJi)oy??-+!eIbnNBjRXFA;plQpy2&?`OD$;58y=^2LAP2kS=^V!Kc zOjc&r%pdivXTR@T``!EbwV(a$XYcpj0Y*fcXhjz?%@Ge zpj$n$Uk>LN;Z_luiI+PIp($pv1df3O2N=pq7gzfa!|h5Ls6yU24_cE2N7 z`SL8iRFsV)X;t*~PNr}2@&|7THa|3A2)DkH->X`uP+SU_ZwaU_2ykt2$iu^T23&$< z@1`>f_5Le@Ig}579t=k9JT|~N>_IfyoW+?0gEODFKER;yPw0XX$b&R|1UZWXgy^|l z#VLSmHfAws^tD5+JW)d9HTI?CmSLZDf4A=rrpahPME`NyRbaew$N;1iFQ64=j)(|M z6?8;EuCBt?QGTy#zYAh z`2p(+$oqozsd^2C*!-H-yAhh+EWiQC(RucT6ep0~!+Lj}6-<}TrA9Lml&f9PqdO1uEb}PG|xiOd#$j+yNZ7$F2sJpeyZJW-D%q<(hEj`fT zuLkSi60rA<06#BWf~e~$I)&ehf2uBQI`n!JoqKbmEP-JTr-<20NSONJ;gWk8%N#WS z1#;jt$jIU|-%0VABLkk@7f|fMnZXpPV{wkn*=`|7x-(_P^Mn))w<+keH}a210`wT0 zw6sFZ96Hpp>P-}>xy^GW?!&my*-25=crcjLrO{e2_qjS(o7uFD>dj1Q9nF6q4j3r+ zyv>XrS2B&_Se3QRP>9wS`3F@wkosBPy~n4xm734s#^~_?S8h9}1zSRL`sj3xWhiSv z+k$x{#JCF9eQ$u-u0Phl;<U89##tB2>BuF%Wyw}eDb3g({lOQ~-O9ItP(fAjn6})sr|>Nl7XzBeiz%CBK%1vHhSL@1&~I8yppYwA zt`ob1rw?(;*P3q$w(qk6F8!7yZ4`EXZ-9|h#n!C4i;m2-%MiF1Y$Rkt@?ONjT>ATr;(42m?&XFekcoAAh@xyVyTX)#e1j zNV%(DdIeXF@`!QU8X1~nf_l_!Y`uMAuo@LISzib8Fyz$gRm2H>Yx0l(=Ls+UxbCey z0`nYyji$^HOm_rLc+o#QDPV@?8PZdKALiOz;b#DnR%USeHjf=E-zcDh9uN1R_=rJx z@u2{j>>$_s4n^)757VJ{o?^O=Q=XDf!{DH~K8(Kg;Eano?#XmphCZB@W`G@<*f(Bz z_?0|-b3lolAl`TKN<*yW13RasxEEp%`NseTY~c|PK+`W#JRx8|?X&yiPY0Vl640|26j9N89ku*+hoX1S3D&qS zpmcEK<$kxXOT(Sc+3*p*K#vz~*%9ExuFRuoi?a#M|By<}mE4P}neN%$_*=0}(iGWv zBW?a8bjC$9H{KqGC)nx+7>?P)U1{I2eTaZD{WjFqXZQ)#um3Q>36_7;qMP8ebXIP- z;<=T7EZq?>hAu|IoTqq@fnkyI4xU>$K0xjdX{1Y5irIcx)`4Yb()0aL!;d#tp9G_3 zjn;sMpG;>uvQ{asQ*>X4F*n0#<=m~uc#f((bxqS})0BfK(etl*A{qA7tCgKPfxKvGr$xI zNuvMahaL;RKNC62pws)usTPS?K*h9hDuvhi@R z!SMk)kfnoHrP$_ehIWUz5G|Tv>Yp*U7RE!XvL-92rAf^dP1E?A(&8x(!*_EH?Ppvlr1}tq<9AQr8*_RMBK7Qz)-2HVIZ&7O3`7l z!Hqt^y)E8Vb)9+bIglGZqJLU+5H1wP+YcDEU>ER49L7|3vkrRnLnHX~IM@(!T8n9K zLt3g8Es;QIwf%wsMOlSiV03B23I$ju7mY`#HK21|ULQsA;sAMBBQJwH1N?{EUKb#C z5qTR<(HZVUVk=E&<=Uc_hRzuF_wX5wrOvEPoASzi?+NfL9X)iWiAGJ%323VoHw7Dh zK0w25K&|)(&~Lc$az9(Bgq2046R7}&@Rb^m1c4Q2G$9aum9R zR-JbQMWjjJb`i{8?&I!7P-s7ow7JozX^zuc??2H`5iWX?aPpB<68m-5Y|qYm*cOsx!Za;V00cBwHT2rfkvuY z-NiL-l&bz#EmTlk2%1(-`?xUJbUDEIZs!x+_)NgaMp`LY!naCJs+WPnL)ygs0hk|^jCdgSgs;~PV6 z>_>YH^f;+0Cq6xuYlcK?-QRsFHnssYz6g>MaWc%iM|*H;umSXQ=BobcROPr~i-!c{FhMi@}_wYJC*%0b{bc zx*n+4xPan&c@EX6W)yjwhq*SEgY{9})<*!B1{`u+fY}L?oxz;a>O~qL(LA*8%nb)z zZR|ce(}x<0?Gl)ysdi(#P6EV{?Cm<(;=2PTG|gnZHzHC^C^V;~%0Ug8%0^V$+~6Iq zS9p@s+qS3J{uOQ@7LIRMTprA0e2keNj#s5ywzwRu91}(_i#tPCze!g;Cd`vO4g5Om zeVm@V#6JIIu-5l@4t{KYI?uDhHcwji=og*T9{Se1pT9AXI#$de*bKQcXwv;oFcn)X zH9wo@Fg#{XIrnod@TS|iA?bb*3^J`li0X=f*0li(9|~~3phM*h$Zu}w1^ppy(Z6c` zFj)Hm0EYW8WX&^hI^PUtu5&?4naCwzkASO;I zdW*;AS{Zt2i>cXjm{$T@HwW{ii_$czcR2n}i0BgUcr6q%_0Q;e`hX)c$fX1F%Ee424RPHr7HX+LO+vDBb+m0vg`{*jyO82zedP+YbdB zLZ+qFfcCcnTD+(S!PeFSW*7kDgzi{(NUa~swc&N##bU0)3XOt!1((w*hixNmljRgm zsjr}OGrw1jw*^#n!0UGf7+ZSsf?yuiH`aKJQrtTYn83@5HkTN@x(7uxrSFff z23YtV6?Jp;pQURn4hN{q3C> ztWPc4KX*?}6qP%2&5Q*JTiuzWg1K~kFzuR|XJz96(+53E&*9VYGFIw=3`RN{Z=!-T z19X#H4lzq9j@}qBKO>-VT0qSs3Y?Q$$>~J)G$`)D+Fjb*h26T6{|TL$pBvDw0(2&f z=eWG$Cs7dqj4Shn;$KTqr`%+tw@Wa{z7?{U zkqMzOx^JGoCvfRUDBgQ+=Q%8<$+RU2b(o?_D|#{>S2OypT$4RcAC5&F-9Yz87)FQV zZ`>AafU44+Uk-*hnapPLA}ws@5u8Gsn`UmspL z46F`Vpe@d4bd#O4n?Bz_4Ybd0bt#GO^w)`rNqgm-EJRP!;(XzaavG``Flg@yR`29* zstX1{sdEbIOs-ew+7d$3xgfwfvEJs=g&Pv4KT4o5i&lC*-Y9af1fA(9*dfnEucZWomyVpaiv{>GYU@##aHKtwD}z=*2uUPsZj@8(?$e& zRSV**z~8a}4}VRwUqfPTpX%47L3^Q##&?7?X;fXRHS(zjY@vfSZE@m0r$KHxo}V6U z4YTB0>WadJ#Fj9wbWympK5xs7);R%V+z%<_Q7F>IHQf1^`0qLZRycsq>8gvTF0&a| zHjeokWaD>fm8XUo=dx1g@rToyGFCvzvU-h(w(5ZYc3XhvLB2JSk`7YhJg?IYRz@M* zfT03HEsY}sUJvuMgsmWdeUA0kVEdaCq5V2NZ`x^F|3HdmCH=u*ZG>iZ5>O*5qul|0 zo?Ey#zyQ1J@y1YUdg;=FCxDn!sld63Us3Ta<@TX@t~96))}%q}7X)ba7B38DMtA#& zU=s|==N}4Caf)%HL7S)U_7!F1#Sx+j-<&TPB-d~&jzg%XjQ`$-Ak9CUYtGcwD1$%! zFX!3|ck}RF0i*i@hM0Pt<3FXB?%Z{GY6eO4kT0U)b3{tTHkY%yGQ}a%R6Ko}rZchr z_F#j@117vp=gy6pD@ch6D$>AI5cB1SK6hL08gi`85B3)j!YzFI_r(gpc;jJy()Y*L zrg%S6Vti;f?B4gT0NXrA5gjXTKPp%``-Ga^IXS;5SUJsQ8mxY*~HMd=x zKkh8QEOleETlWOau+(L}8|mC!^ma{Hl^ovB!w_+LXF&13;Hqo0zX4%yIw{~W==Ty# z_CsF>>AA^dM&ms#V1_PqX?=ZtKp$!H{JO>s!HPpqn-!_CGQ@kGWf`^^pUrcq->Sm; zy;D zbod4|SApx}1x@MdzB)i%-ACWdPAErtK+X~&MKDK)QLF=&ssNVd#E6Lc<%Ajb!*H&n8*E5%VAP^|nV!F0w3 zw*;$gJ+E|BYxD593NS#oKo<%_Q5ToM)bjz{GC!y3BUGT>s5gqub91f2?_5EKHqYsG z3()QS<0!1766hfvc!05o5`u#Z{;kBMX-oM+)Z2n7)J=r23u`NQ z*`k-4G-D__HYHZ@cy5$RdC_iOWTh(zrtergDcC-!>uESL)YP>Bp0x4y$@yT&>82*H zVw;S!PEHKALM_G^M@U$g|4z7O`pWu)!L;pW>FE-Cis}TC%+Cuj6fuEnm%W=JZ&U8u za{savo&M{AD$3gIHFQuX+RpsEeA|_46WB9BnTANyQ*{4nl%#tj*LcyNTQk>&HUrKS zTSvq9LlSLRgR1r-SI&Ps{LR+uzvwZ#isC?U;Pl*WE(W-UW}wU?VurM8OfwF0*RML8 zF=N)`_@P`gNHn1OVrh_Z1D77~u=g>FGR2m{b7}u0jITj*_xCspG{CNO9y}s%ZJ_#jVE&U2ZOs5mzmR`d)qtz5kEthi_ znbgajQfZG-s2H-(apPXDVMUu%s`LII_XpD_Tv!ceRZhQVR4_Xypv(AC!sTd13G`5l zpQ){|KGkY~NwU(^77V|@HSX##58f24f^P%3U$p{^ei+v)Lm&oVNFxnWe)N1WtG^;x zp9Yzu?tI4eWQQ^P@iRE>xu#}@C~&4>8(rOf761KEfDgR8&vuG$4QSA+GPB+tY|cp6I392_fLE5)^%H`bBw-wB3M(oEr1ez5 z=tSneKp}GnHK6KmF?d^ZV-_?jxAbH zCYjK_rWuY$t%@5w=OHky)nJNznKmmW_vKoH<{Dgi3c3tdx%MrtT^CR&R0nfSM2l(r zim=i&2Uk-CT&x=~l($X{a3t1*x8aOzY{1pd**pRp>t!$mX#qhhoW3oX$pwn7qn{@( zdTO1Vo+)~t;lDQom}IP&wW-wO@l<;$zOXab8nD~r2K1Jij7){t#|CreRd!WiRVLpI z81Xk7WFTNjt5h{v>$-v7VM%k55YSX7#`oGwyP&k!3LMYL866;-A$z(#{tMZ42MyN9 znIg98FWjG=8lWUP?JM35*Xq;%=7#h57S~J(a)NIhsqsjzoq>Ru@~{9GG_ML$eQApN zYn@YqO#tUV9^kC9(0~?b8J4aHR@NoE!AhII&cjfx#oru5#he5;-;issSdFCU!o%Rq zU{iF<*gJd4Z}tFIRQh!#{LblyB-$9Lla1pLl|_zaB1B za6#9_qybyMN}K&uv`&$^obF$k&`4uneiCYoI(Mj5e{%i{!CI#WY{r4tVD0>^0S$*S z*xkZ;T7@b9T^&%S&3l3wwQB4P<`$~I>#z>zruDu&qO+(~ZoNCjk;d|ug1IBeED(2< znG(MHklg5gC}0SQ%Ndfeb`|Q5RR}DIs}$Aef;mc#zZ1;Sv_ddPrv|K_65#UL6z-ej zFxRvoG;O-y#EiHfyM9Zs`F8_6G($O1{^rQRfwKZU6!aM==suDI**Z9 z2Q&wz)?*ZJ4=_^RS`Vi4Ie$D@8|prDZ$RUTfEjjUa~5+ivhip1?HDL|@YUR<^}|*` zpBdVSyJPM?qfBx`ZPY7plyr)$m*L>BdU+mE-`p(M`gn?_qq+v}nQ^9pjoz6XOTQ8@ zMw-f$mg>vKQ6&s1aiZ;BRmbTj&G;ZZG7e`jQ|ZJOy=uM?;EZ1VEgL(-dLRI5Aqy>ZgfWL*n?X}{0+<)LHp;q^s4y-0o}6$b~2pU%W@n7 z@>f1hQU}{t1&q)I9alU3;>9VtKi;oD{}d%DhvSTbxeRCqm{C|)h}=2kl%oBGJkmo% z*AdnMRI8zyQJ1@h!CF@YXvn6k6u%Wvy%x|1ybkd5fJXu}>x%ac*!KRT0d9JBf;wML z(ZFw6QT#}Xj(#4B>~zk7Y612b5!S`tj-4ETDnS2UyP>)6-kfVCta)p&Ett&;ozZqS zP#p8>J;Gu9{uJjY1f2fa0R1LMt8(xo8a2ZxwB8ZWMx$I+=)fya3EF8Y^3c|v5jDqUBvv?8I{N5ji_aa zfVhI7-56Y&q8W()fEMgODPa8#0negGu3YS9Owpbm%6|vH9I*AmfH6FG&3e=hR@4tV zH~2>bT8+LKpx7$+x+IQ`X5#-F+V^j$ZwV%MebJ6!ZMy%`kpV;Q)+lF#M@px;dk=R9 zR8V83JX2eDW{PC@F9?|M-{vm`wBH+GlGt#@4Mf!M9qdoDh8$XIe^z_eRXy~S=FLdnwA-!TL}m5 z4rVT51$)YVzXyV~elEbtatD*<(K!w*+b~sH^zoeMur!Td3+N)s<8K5M#leh>5rM`b z0sU*a0UO8a;B~=(1j#xJJzeD*RNc|8=_AMG{SP)m`oLH!YI2T#O0QKP^+x zFQ@o(G`9ih?+S2Ol)4^uZ5XI~Ty6~Mx#M)nAig8TohJlHU3+N&%#gC#HV3QR?Y}#q z93OONu<5x0-{ZfEqf;`6N=Gog8}r+@ASz`Ehep~yBhgN<<{CU3PMe3&s$`$Y1r$P! zsxbg&I@Qp{>K&P!&)D3u6A3wJKxgN*KY`r?tHL@?P{|3eobaMHt#8sklh}@;1taME z8!&JFV8G<8fc+5LeG{&8t|89{M*+sUbn_|*Te9?S2iqX0YaPGCKQugZi0EN$E;Sm3 zbr9)%F*gi8>TQ0Xe;6=uP3e;m!u0@mmATx|dLY;47=@9Y*%{0nNQKblmDLS1GTQSu z&y_t0G}0m8Fs@k#4$ShrWPs6vXATR{a6h>itaCI)h}b}EOWfN54N49l5179uz&@p)(^c) z-`siSSz(@HE2*8hlZxsdknH%S6E;6@GR&NVHZY4OATxu%>pnG|*y5gTs~ z7_SAWRxYaOX-(I2ZG>7GOVgWM;pOfF@AD4lra$;$u=cqD*1Y#E!G_%30$0C|ifh8J z*cPl`2W&+pOPKkhV0sxtw0i~HK7pKlxb?Fk*OYsN)f|TjYTvj%z^M3*p8{jDCneiA z2OHf$@wxzyt@KcZeRrhTqcdBft{#Q6o$CG+$4K@F66-bp>+^y=b5g)<^uyqa2Hw`M zK-fQfUx4v(9zhuhiza2cxbIbLRRhz?99W9j^0$&-a%r&MV*!I5{EY^^2(79r zpn+9(I=9X%J;KJF?d8khM{pO<$khT*anlWOJ>Co}lQ)Mp=;}PD-!z2Ng??8B)A{Tn zdd}!K(_1Gth*8%J16`5^?bC6PYUcK+DcYgeBZN~PskQ-}Lm*~lAPrJPU=1?W^xU9{ zkxv`ss;_f)X{EngS9wk)ZhjE#k$~QZ1InC)Zk3fY*I_UpB@;XVd#XxF=Z4ae*O0(&uW-o)f zvy;+&i^!TQFwfl0!-%8%T>aaW|BkU{4Rou*JoM0`2709b;(pF4f9n8-{9_lD`pQ3q z_73kx#l5?($SdPKtc3N!ZUX#-8xHxcqk|Pn-Wg2$?CPtZr1evG%A`k{4%AR6X)co! z4xiH}T(}`OdKXa(PVeLjF#gf{e1L-fw_--kT>tCo*Un%D%1Y#z_N`yYU5vRa#;w(0 zy+;H5?Ah8~!ECN`#1S+o5l#NPgnl@C?`Zik4+>Wgv2cJ~;O*Az;9#7;9B#VK4gOKq zqo~>N(}Zrh0IE-|_qrFYoqsE!EQaxNV-G!yN5iVnC{H|Ak7TIoTy{JlWYwne_x&`LUY z<wS2qj=B1-Ik&~aI)3*@2687JprH}MPltLy06+_MXPp7;tiVWzYO3v>Dug%E}bTJ{K))HeM-HG86iK3BEE z!;f(7;edrp18#(-W+@-!<)&`5xKZ>R2iK;lDSNpgA)F=1GAAoF^i!zKQ#GH^_@7yw ze)gwxOCA|OH7B?G&kbgjSm8IkGlAlrH}S|j15|eR5!h)1zp}?^pJ~np`#VUT!3*;a zSD~6K_{#VIezbQ7*j&5n@@?rL3Q_ude6SIMSsD%{%~&YUQK_O*Mm2>R(ludN-CbQ1ryN2&pXwO*AI z1kd+bg(NyuMp$%(I*;VqP$Nw(ZVh$n>ta(m;)ME~JxxBxBe23*`RG8f`2zt;XPHcG zOY!H>k2O^78f5p7I>1eOvntr|jR6{fpB@#gcX2=)WgovMpm9b(=Pd!%djm|gS%rD- z<8yCr_rVlrX9A80m_HOSL=7Bq{F0+w)qwuHx8_FGdDWxV>bu zC&l}h1I#RR^+EbQj|m!H8{oz%#cXan1>?iQI1J6xxDG2#brCyMWx#m|19Zxl6gae} z2_=iop&y2Ehj#~SZAi(8rnzy&Gy^SRqvByT^a8M>07!(%1tlr-!W3sK0lr)rZ*6Gp zU&vaF^zXvF7UoN%HThUD8`OtAj&xJ_AuIay*WpP9?BAPW8CZ4%Gybe!q9GeY@!KKx zU)>f^G+>kB7yzl(HnH(Qupwk>pBgYg zgJ?NI5nd__g+sNglW)^P72U3c?N1UQCLUG!e8Fj+K@kYv^a$~?^WG0 z(stV?^IS!Jl4%8lT*6dT>U7TFN)x7Np#Ck^*0p8d7fE6in~h1R9B> zQ|>V@O;z^}9zk--G+a9l)m*QbfQ@Lz0M!`suuI*>(lo=)SoE99ktwP@6k6jSR9udq z+ecMxfccZUh=%jK7)!sixBJ^X%-)5LaWS0gq-rcQQLenow_9Ed$bBdmajk{rr-cng|;jXiU zi8>=2rM(h?0X?M-Xo5|#2Mu)<+gVuq#$cVT0Ru)!6aK0zgEihp@tXlXNH@75K#?yo zC@h!bxuKFqouUGFI6jRVbcc%fqbW|5am>izu>fPa#%)d9S)|P~X?0?-_DKQ9LftV; z)+5_j2h)FcQMvO_icVEkd#5ss@a<4~Ie-w2j|Y@}cf7K3N5FIk*VIdBZve~~fOf;7 z;~((y3wimwAmW9$1x)GyU%oUB<~HB)2ZD`y0d0CYzKk2Zd=9O&-eryII&SC%`EuTC zmYMz4Vh+yBwF&RlP$=1}5Mq&Qe!^)t?5U|huSGXSAN|P-b8SvDI&^f}PC=2xnTmufe_W3QID}lzh@ej;qr4Yiw8H8|Zz8U*^n&xWj z9B^H!nIN5xjZLVbIxp~FO@V`r>tL=BZPD+%J$Ie;I$D{bYp{AZ?n2o&OQq9JKw}vI z2OYa7R|T7^5c6Q#;stuHhhikvC`sucnj&Gl5_T=c;nxG)4d_7Mr!86)vlB|D6Z-2A ztsXt29x2ptp@IuepgoL!L5BdU`Qdx{=HUyYb8~HgfwwKI6phY!KFw}uU%xe=LVON> zGeD`+`sk7ziZ(i9aT|q;wuZd_z8dvD{y{CP2*WGfH}1L?*knl1*K1Y5+-lW2E!ZM- z8NzOTl`d*9qowL5=?{ejF~H_V`OC_j?7x#?NkSs`5Z zsP*PxvQ|f~PZz$Saw4{xaQECU+?AqPdKwD5V9rjr<~cgutO9IlPue596GWvA--ZZW zIh7T`G{&Qa8+<-R$LTKY>0=_b77ED1Z7B{<3h+2K7oeO*4!Gvrs)K$Mi)78v#nieM zT(ApU5P3s-O{i-)Mm--f^j@i9RJ>tS<3=9YxM6=~qamc48;|iK={Eu^G709)YXH{W z0PS5oO!Ych2DTd1GN!+J$PNjGANJ_LOHp7WTnR4SqYx-JLHK0cWm^{2D zpyX2{vBUL%GH1Fs*h~Rdd{Ec{44u;b`p5u#{w%Ul29a}u6(^dO8W%Okb%lPEDIS7Z zqA9eXbegWpDDBmMw3f|l=*RC$SUG)ticV!}7+|H+!0(;tad$9oCeuzBXGRPTWgMhc zPPIyLlXMK*3#eZi^7l~`Y~G;fDoz8zEX=c)8$c1LC|bR}R1$|(u1TTBvD~FI+T9Tk zmq)mvG)+*yLQbA5y8*qX2zc$Z+*ql&`$K@l*#H&`fKf)pP1rTU=Q2WRi&CsiT3?-q zi>dq8VjfTPP^y8t=u$DH>%&Fz6{mGxBTzHLJn zN=zRblzB3)xZXq23SQa9`7BbbP%Fx`&#bkwlt;0M9=h790_5+I3d&F^#tp@yC${mo z8F%HX%H+$niPAuKwY?#>rF|Q!t2`I;MSUGRqhrV;wrW%dTfHklzfKCdjds2@*UIpD z1b6MAEj=&AC9txVuOwmx>N^8;qpZ0EO-|(o@>iM*g`8s#8P%NK%?}CIpaQw&HTRMg zTJc^}m0cDa9mR7O2UO^}wsRlCZ?>lM0QVLgMf;rVmMQY_DLRcbj^r4>@P7V==(RRX zki+7!C*|6145;(1Vh(qusMlOxspVhEHCORe7Z?8LSftT8JiNx;Wv~wixSggURR%*E>W_U)UC~PzNkwZC9Yda2ilN6a;typV~c& zMG?Q2qA{}01HlYAcFzuWcpXrjvCD%wiEGjNvKme;9=)q0thG>{ZJIOd-=jh2L%Ks~ zq{rDAiS``}RjwH`UwQ}(2JAf{V3EGn^i9w0f2NkkX#wuGlNDti@XlOwD&urm2SZP$ z39X!oIB{}FF#cCYFdD8LwDtsZG%Ze+ip`5w(1nRgg7s0E%4C`UP5}DFD?V&d8LxAr zm}Y2yGHldqx#!$q#rHwl2e7sTb@*=&&{uq{iuZQv05^jhneAVd;zZ)`UuQ8x-mw6G z%U6lv%qruhf~27+As-kphXKW-pe=(cK>ctGXdsSeglef(aiUf z$t{TJ0_btJnJ!3T9hL?XTPA=T#M#O_%6oZurUl-{-yB4^tEkwjVh%r>YbClWnF!ix z6B}>+n}>BZ#{Sp4QcYongYsAFl>c>Y!Uj!m z;098>MpX_h2EfXhKggc}y4D6YCOmhs6mlMQSBm;6zG?1_I$u2eVS3<5n!5H6AG2ljiTj-?EW+r|9@$ zev>JYW-4l92S@Waq^UUSh+}ajA-e}|jFl4m_Mu$U=$A3s;%T|IA{!Axj{qvh2#sPQ1 zruPJE9m6%`r3E?XD55hjgSTA>Has!lov`ukDBTC3si^{{)p`u(i0ACD-I{+Y#p;Ft z#YfuLav#<KiS$E%=20r*h$k63*f&JqN07}Qzr`C z11T2sil`_#N5d4eiru5L`$8T;Fjv63S^=;&&$;B%qiA0E9BhW3n-gfb9swhoJd?Z)A_>?4?U(rg$j8Kjt4N1C9lp57-Sj18@=G z5Wqc>>8xPom|dDyOf$Ab`6~$#2$JISJe0KIL)vT$+=}feR2V?brRQLOt3f-swjJ;c zppXu%0?hw^0W5Ht9b=mYSO#m65dUARI>;;kGd9+LNbD!Mb^!2~fTuUWPr=+Tpr+;d}qCe%R@kH)^pys~T}_0`R}muS?Nd#CjBm8^AHZzxfZFYXyS;_X?DQGmxPg zxpFUnPMcGT2{drX-+EavHzn>sB2>=ts#-!oP~$T~2X)T!7g-elM`>ynlPH)lN802xh9Iv)SQ0Qk?%* zfO7*!oH=cN4xi?T#Q@hj#_I3wDLOeDXlUHwgZ+q?HeK>9%*_G&Ctk9 z;h+d3F04Gy3-Z8$4M;;5%age4f>nS>j z7@{^7G>6GEY>9yx)$ePlp912E9qUlTasU13U`eEcI1ZK0dQFSkkEgYhPP>liTvB;i zL*I%UO3fZSJEAJHN&84iISUCR<3_-PhXv~*O}~$bt|Fo%s9~)18A#$hWj+t)H(#8| z8B(5YSb@%R?z($aTCE+Q;#TZX7ay)nmuPPPHC#I!0540!&kOc;lw^e#tRZ3Nqsc2D z2pI8>HMu~gdm*+*`k8K5>?B<+!B#3Lb5k+Nxii;H@z9|!(*oXh|5hHpAV4`-e-juK znq3~y`cQzI+J`WC0^eLv*sc)Xm71^AOC4di!0$90>IJoo;qc=3!{HpRVqIU%(8#9Mb9TSpiKX#~wLl z`~>oBp6_f=u!F}146hEDV7(81GQh7XyoBcYiAT4oYM}lQwKD8FqgAud1&k!by}^tz zmi;(r*%ZgRkM1ku+c6#n8ovYC4^qKIx@-%kV77Qz(%ry-ra!(H8FwUc51>x!JqWAh zeCFI>e*y=a(4ak$T{Jx0LwX9u4TLWr)-|GE^eWdxBlI9592hevhxaJJ=iva}Di( zI4)QlMcj(4^>zk0b~~RgOSO=F_Hk}Nc2{oaHwAMpIa3@Ng`T{QySD^9#~AM}Yy)6( z1hb1wE^UZo*_r*0T)PF)bJe#4Kb%y%W!tX-Xq$9wM)0VMp6jLqF@K# zM-icRbRJ;k+uF%Vuql!_Mc^Ds`pdz(h?x@Rv|vBNr6C(4FWUAgv~n=q+^A!k=@9EP zy+5EKtsv9yLzgZ+*Oi=H7p(O~t|3T;mtPI$R`t8{ug+z)f=80?60Z-7vK#@9=ssMDczqU2Yx@` zKWN;hDLU?tFli2V6J*1W-n|T6G-*yy^&;H|G#=*08b)7Nw^)8;Xbq|IB~=e; zYJDWYr7|6d9;V75;PCih`V8)~)*^MjmunuK=yb`mo=d_IQs)T~`WF2!rP#&4cf2&u z_iSwwgQlCVJfLp^#Xo_B8IscJ9V4P6Xg|C!KzlXDhH0;q;y+HRQZe1IFu^Vfns z3w!#oN6Y27x(gn?{G9+3iVLFn8)Mk z(5tKNG;>IONr9u&8Yp85Q`+(@EwC+);!c-d+>>i+)Lt}T4JMm+Jv=X12VJ;`N6tr0 zSMCUKSC3J||MGE)*!D5fS(33h&Or*p<077;k-A07auk?A5sM($SL9L#mj7A9OH zQ@%cQeTu~wfFy3<)E1YK>4seEF({e3Hpg1X-{uZ5m^_A|ZS<)1M8E`Ij!+?2@jPte zKIrm&y1M_ifC>tkBrALVvXNqg&N!=_(vLr=1M~`>gkTF$$n2-GTl<|Ue)g<@Ep*0_ zy?sTn)|CO(IRMCc(Q-fsxp%?0e`&DQ4Uw;~B@MbixiO$@UB!a*yWF@rz$Gx}gMCEB z#jqu$-On(U6i|BZgs2?vfv_4Ws*zKVnViydjpY{+Oy>sA!fCnnJgqY1BgHkoQf(@& z;Pm!)^EWzOy**$6*(-$K8Ah`LgG_@_z&`$V5hA~)no@z^qxUEUmvzdCSqR|>0hvNX z2lcL`qe1I*->JeY#&}p;4$x8udC|Y5dM8Q$;&Xv4P#bA~qAAIy^w z{;Si1xv9w*PuC%4#y@CPo356RogE!atEa*9i%I%sM(LU~cfK5;Gp2EKc>nZqxn};F zhr=%HOwsK=CGG<+TN`W~ekH{rG%XYSdxG_j31}nPy>|qd;G^?&)4eHbxwJ!LxFBn_ zId6rlx9kcq2%~_sk?aQ7+S>wj2wc2he@}`nMuQ%F^Ei|0yTOW}kAux03K*Xi;2K8z zTfvMU_<5z}Z>Q*D#0-ydYLC`~&9Gsn0*{{vHimCyR8u+;M<={n;GhfFE3na-$j>w* zG{|iA*=5{V2AmjBT*Q;W9u9aJPXDtyz|n7kUe2q4_5}f+8B)56bnZMoVC(w==5GmT zAObbr*D1Q4p3g1}=uZPCNW}OE03zCk5EWwagG&OGh!?Kl+T|3b%Ljvv9-&B^yR>iR z(Ey$I{+?j_mnlNE#zz1M`V)vsA5$>KGVJ<9fOACG!P;1c+3^8>2F!#AqYx8pV()hD zo)DlV)Loq;G-Z5yJlNzu?%o|>qMS0+L55uODkc)buEUBKAncRah+XhwJJRG~<*!Gb z_dvvYdw~AX`SfG9GeDo!8NELL1m$c{Y5Tl@;Rcf@)O-mwA4$!Z!|6#Ku!ZXPP5@sE zX!D2z%WPXPBYXoMF<;*JnqIvrn=LtWR_?BB=;}cX%Dflg8p|A}_)(0)lyg$-z>mMA z3oZiR0~gA^j*kVK)2-e$0h>Y3&P^$nSt_)jAo2$Gog{663%Yq7G}$khssVZ)73w^I zGp=4cni`XqDIO+bUe#up^mu4+8D#nqZ?n=7)KJF9$o*t%Kn-1fgi!Z3M0pu0?jX;m zUU~4XqCCO4Rmiis0cDdnWFH~Lon-(d@ra@}B07XFJ)~2+ws>_g&&c~%U2a?z;Ni*o zyB=0Fh7g_g0ArS8jN7JNYe0w!LO88AzN=d?yDQh+8ddx&x_=AZcMA2AouOOvX~2{& zI2oAG`X2mkp>ItzYS$+NUVwSJ73153Rqqcdo**w$4Lp$5rGV#l84F`Gq8Emxh&457xy5OgPTjc*1s^!%?d zC?1vOS)#pLQf%H4V2o@8A)L&s$qi_wH(Zvh(O>RmupW2xJLTIyMmQ~7AdoAZUuNL%B)Jfi*6^gVY{ijP4$4}{yPP`{c-c##ZPMb=!nZXoC- zF=j1T87tO<=>@g;uXNc$&wXwmy>$6v4U;AZ8~5|vi2*e)_ke=E7>XMDm808HoHc|{ z#aZEPEh=z7lS0_00!QbcLmQRi{}lnLtOemJo1eHg;gyQxX7x2qnNM# zfF~hrL5k<7v+m`~Zw|H_Ue0LW0xat-2b3Tx+^Rnv;7B)B)$A(5<=Mv$Xd@*I6*?M% z{n9A`u7b`F3#N;B@Z4aBpB}Ik0q!pbv~0!)g3UKtuzp2~jSVvGg-niqze`*89Ut)D zegJ9;g$(Q9Yn<)@ZHz&2*R%yR7B-#DZV211*6KWjW#PZ{~3jto*&S#rJZ2L zK_<2j$u7yXwB;XuB0$GMtJnBciuw#?Yv>Irj;;&XJifFK--_e#)nMb#1+<}L?@o%e z?>|9FUA0w&+8IHMmiCZmt-$k8atUrNspqt6eRseJ)3SvMJosWv7uHbXRfJ&-nQTG- z@n9}j@1^EdYIa?Gj(O;x9ALVH<9-)b6luCE*zoQE-Nxy)!TuEl+i`J#^9r|ftwO5_ z6gr3nw)={YIb-I!lzAg9)$YC)2K*G_R1XB08PcX^XNHUL!z`L7PYbq+0Jk0t&;k$7 z3bw*4tJMGnU`)cS?XG&cSWL#!CT> zD!@gq@4qKl|BQf+=6^9*{oMd_h1_XTLgQ!VnuE2=NxEw4mj3f|tGO$MCUCWSB;eUA z1N73KM)#%KtW1Yb3|2!^&wDk(;^`d54-VG3alHgPG?|J2~4AiJQop>k!j17-ravJg2WZ zcP>jzA$#Ks0e-RT;6uSQ89IE@-sGE}3fs$FmnB*oT=;EiudqV<`P%}V@p<$?XPIko z!6UX!>2n}0A-$`)aczL}-|FjN*rv(#0p`*AHHBL~nc|O+4|w^;05klIpK7nBaIo<5 z=3pfVcx$j8THy(ueHc1_dq91AfG2wCihpA-MU9MJ-xpJyo)FMp4;V2wHFK|+zOSS> zLD_ZG+s6bOel?(tYMAh%Kh#s-7;H9`PA~GAALg1CbABM$>}x!NEirEEeD(I*QY>LP zRPs-c3@DOwRj`qUdtb1s5uk_XL`UQ1n!~)#jdCpHG+1vXpaWN(Zu(`63EbK%Q$8Qe z&1go7Ms(T`!=@MRbfiNsU31l}&uN-lb-Q)20g9+<=+e1^!nnYAmK#ROXObAjX`v|- zY;g-a3~eP0kG%R$N0}o?Z+XqX9;z ziy1+7y9ldkbdzo{MZityrYt!vb!cn7CU^bth7;5lj534CvBvt8?j9dD_!|RN6ZV=bVba$mV#vYh*b2r0@9+}U*7Ik(InNn4W z^j;EdOb4C5&K?amp{wI_0-UtIbbPQL+T$|n$nK*qlN$oe&ygBWs0PZtg8u2;Rj3SCarZi|Au4*ln^E1-o!o$V4%Rv%uY=;hi3~)#)mE5qu!^eZUIOLr8 z*DxrK*dK!nEp+wEbXqg=46Jo={5ZHUrqjp56bW%t6-=w*I#|~c8|gHtZSt$j+8q>o z0wGGk9vZj~RyKcLo?_=C0Y>fTmj-+8LjgtuuD&Liv5{i4vD77d@k_xBUg&epj!Cgt zR-^({0C(*>>=aup4W7sibsKjiI}a-DuvV|2v7H<906XY%()veJbVw~JefOp4!jfaz2rg(R zS7C)mWvp(n;!j~k2b0!@0p^?C3GG`OY9)0wUxl0){jy|=E|jCLk>WmT(AyEvhB%$W z0cgD9ZRlV|3tayGQ@X#OPQMqrjKHRKz_+#q{978d9fdG;ZB_--EIoy6RPPD!)0YlK z-;qM!%{B9VHbcP0p?WYk<{FAG@VB!9v=I#i$z9m4y{}7CZ8qvMUk&hMXXa^{;?cl@ zxcX%dm2=7c%Ut_*fC@H4w+X`If57mBfNLRkaeyH99K$pG92ka2XQx6i=l26(fF^hF6d1zLfD6x~ zlFl%SJA(_W&F=jckGwBnq?%U2hDQaIRd@{Y0(Qt%cmsJxFzP+I_D|0VFf`t~K3K^= z{Y)@d0Qi{$z+K5;fn&c zpBAu}5l1`JS_x+SzQlbXj<(ovmKpngamxJN{{p%1&|g&G%_XIfN^uG$GWFzASj=FaTb9OgUsOhSago9l$Y{{|oNNZ*ovZZ-|@ojp(a~j}z z|MtUeedC96ttI2(wE5X5yfs(@dr%hduMDQNKlx~|l64QeO$#^(f4_Ttz~wswD)d}C z>5{k}-srJh)0r^8WcdyrLAy(g8)|gbZWS9s=+c!XUAk&$@;B)3OK|l&@K+^KiO+pF z#iy~)#=ZAr<=5(fi>d&RGu{UWT@_rM1nbj};bj53bR)b1Q)FB+Sf?N5!!K6_Yoot| z69Q`6cW1CZx~exf+81o$oB&UL)yVt~M&ZZU#0GL;mZOZ?`vtB+XTMw3q2c>^uD&5a zt2clUV_$SvFb6b)sEs31bOLR{cuhY_(3rOksAUVL&tu#CDtm*Lj-c9rMpmZ>Z1v?l z{0G+u^lu1owcaSx@QW#$_i8d(34c zhIU6C9(gc8p?0R}+ULpi*O9JqMX(+=tdC?Hz-c@Z%yn@;0qDBM402Y>0WR&AK@Ngl zcXdFC5a2@6*yLqW4dsy)&xSF9&Pi9k96oKm1OLeTe;e zh^^-_uY>&?$X-e}2p&7(>URz-f-OS?BWq&zEo$a6S@(K!d-X2iv zH$kCd`tA+ZN5)I+pZ2+;XkO616I1ld6WVcI$<1kQ`Cc1s(UZ{(uc3pj<$y9x<3%O- zh(;MNnW-Phb9I2bUjw@>Kn1&_rifkhoZb#ahu#-=1)EX42jL%90nSr?3~`>kAYk%7 zfc$_=TfZA%s-Dtm`t8+-Xo)exEiLf;pMGKcW(_C z+z_Ckm(cF*DQd620G<0m~x_u+mIaV-8Ca$rPw279#p zy3P*j&gh?nQ7-qZ3ojzJ#fN)Wur6S#*us>@b%hp#Ex?K)cDLFdFnwEqR(=g}G#O8) z!>=QiY+PHw+tiQUyy#)9*(%k4jhd%aI=L`lh}C=YtbituxHIe^RC85pdS9^eaRnHl z9Q4o%zcln=sxm&*nFKSlTFdVs;(B8f(Q|&}l<_9|c7Ru|(wPx|8w>*$Rw;f9@WFuM zs3Q>y!`2T68)EMpFxi>^1pfAEsZ;&tb-~7u2ejafir7IvT<>xGeG!tlpXvDx+MiF& zB?fFAK*D6B^rNoifzo&iVT3_)oTEU12$;dKQTpTUW&IgeU3J_Y4ZQ*FV;lgH662FoZ&X z??VA|q{KL;2}5(J_N&S`lC8bhD0nu|&%-iZh{X-b)8I#RoW|klrrg!wDGYmYaQ`J1&J3Iu6mleSelA_q zt()kUWA`J61vArA+7GJ~?fG-32ir<7E0m-f2k7cfX2FcmYaUE>Y#hxa^jB-vUkm1% zLkqb#{Mr3TFz2gZg7)JLEB{sctATflGXH#vHCQSGGSzC|@$55BMv>*yx4*_l?3{xr{NG61^1a-Ct)2zFb#>MOhk&-@Aq9?O>X|S!= z1Wa!Z7%B&dKp#0>l^Pn=&!uSeZG;G@;?6akf=Uh3v0RHTPTRS8?#Fn|a#j8sdsTqT zVgxU8Ma<}`Go?QErExC+I+yS4Ax(Plw;Tpm2RyMWzySLaFOtr8L+6(<&2!}H2T)vp z!*6Vwa@cv0yQ)2`a2o0EIJel$hPig|kpR66H`{a}SPz12LDn``8eTj;MQ1=AY?Hgx z%*k5au%|T=wv%4A-ybkU%*t{c)Loal8?vTb_O~_(Ofi+H@8uA5wl;0E``{q z1am3gbf>fuK3#o!F(2d8`07+jcoIdA0owH{&YZ92dr0M7Y0nxsK!+R z=1)!#1|zPUbE{X&nJPET19kg`^Pa|=b8R=OdvH&{@<#%up9*kYt%2|xp6I;>jFH5I zQ$6zzEj3HZ&4Cs4GoOuFb9waJgoFBac8A4^)1|K1lSk%+R3K_=bS85P3T{;GprVb=iol z%{OFictVO>Htia$Rm)uNGK=5H#0=U`p}qMfZeZ^sm=55Zq4p;b$MJaq{|?*aR^693 zg%C>iAdU&>hKfg@OmPc+n|?IF1xA;@ZHCUVt4mIZl+Lfg)#oqaVOsxYjUZxceC?07 z1#8?DFyh*nhYbb~P;8gk^cmd2*q~|mV*We)&8X>DQTr0Tp!TqWV=)i#ga4i^e(5HQF zyj4V}Kjg-N0PAxeRhImazw3|}y&D6j-yfy84}xhs8;FYI^k~Bpz7L)^mIEfds0~-g z>j9=`?uV;7UPE+n@*0XT`F}z~9cF)%erWlhMoza-G<9R`SAyyO?&F5}Ii^{;L#D$! zoV2Qgv-?tX>^AzV`ssk1WcPfXyKg|A`@47!T8-Zr;9O{x>dR3h?+rHmZh-L;Cpvz} zP0!5(P~5w;{((GVG_Ox1_2xD=Mf5+IYi0I%Y%u5c^M`}E*W4vZqkb+w>e23lTffX~ zr>k(`#3*6f&MpqFiHl`Jz|ASTb4@*(D{vUlJ_gja-W^{G<^rD644vNT8}}T24EdX+bEM6wLLq?kT6DkbSp~083SOLc{@!zfU;{g zk3hRSXHwKXnglDSMKO5kST9}`Oo!QkT2T!sq`pn4*<6SzHSa<|j;9OmnL4Ps!6>*i zW1MEboT3S*CTuLgqe2oiK$B*K>em@@^sZH6_W}8J+b+853ftsV{;TDpAFWQn@Mx}G zLJ{F=d^n)`CfBYGFaorb9=SVY_1<8c(^t2@7@t%%3=`an1{iQzKR?(ia_>g%;x6zu zg}TBBO0X`{X~15K{ZxEYEVV~V?KvsfK4j=N#KOM)5sK*X zRpb4^oEr?F^A_6Dg4l-JTou&g?n4MokfAldT4Byp6Ia)m{`B%-P9taMfUO10mIGS5 z1IEV%G-$Zv(K-`^t^&;HTvC;Ha2Ng1nP?+$W(fT^hl63mRE;rxTSH2mB=zXv=FW`^ zpziO}!C@6(e+P8SRqlUHKgRD2=)=(AuTZ4nQ$%XG9N?C=ism|ZF~LXQqDKqbck#%V z18j?H@1rV3=Ol)~C-#H(8JTtMxJ9cxQP>ZycObFz)sBRv1)XI8?{&EIq>Ff3&T-6*5I?dzuKw67dW_W2a`B8_cIzp{D_Yn_&AL0rmnUZyrai-=brmx`fmkDj)hs(C9dt;D5K8B0JiTQ3h-FGzP`UNN6;J1E;!tm)crZPna}9Q z$0h;X=yRc?QuTsvN)(+LP^G3?E=OP**D1R6bSBNe5^;Kj^Fkw|wW?bBG2c>~tMYZ! zk{88_6ryAe5p}F*?sQx>+akdWGdt+f9~e;eWEzzOD@BsFEX*pRxy_XTv->U<+J>o} zc3f2JopE}vVJ>}D??Q3yms|!Rbkg2O6?$~=q|NwJV8i4@ty-A(A0ri<+JR~TeKc{&SS1=c$w`0CjJlY;?Tp9tVDX0H4qFr6V@x^nZt z2UT2`X^Z{?>bhE7mP=^!aq7@;xC7OEh=#iu^;~4<`3O3Fj@JW|#4di)(L;0fc1yKW zO$2|tDS$sl^cKXHE(JDoGVC>htuyAnFQ7ZY$6Y)EAelVtQlE<~mfX2NFt0bciLREa z>9orXW#4lxx(+-hRFRrjUFeJ+T-O1;3lXd+Z;ghJU~iX8%Cx4vPdIpdMXT?frO4tW z(gJhwIO8iZ8&o0Z-ScE-EPaM>o>@%|r+OF>^fa@Rh_$WJf|ak6?`;6%u^T?v1L(qf z{tla`vOT2ePJ`!4HCL6gYyq7fP@bnNrGZc8=atgiZq^*_-KZ0G}45qJk&Ob+8*?eCAOBsjKt5yg&kD-eSz%PG4*S%bV!X zWz68oIh_)iE0*=cfo-_;@%ae)zVa$gB5!jzM~yb~1^ld4<#y}rePvHxbWcQT&9vy- z31xp^)lz`b_XFJa(sJ+Fh+AM%`VhTzV{ZInV1Lw>hoApMk7oBUe1+oBGZE)Y%f06V z>zxcRITN6IIY7R&j2?0i!zX|ay+#)18J}BD-E=8}8?IJprXVx*#Q-DN!s7!I$T_<* z@g#)R$F0oVf=ecE2GAI5(|tSbP~;@XX!TA9NVh*da+y)_nFG-54@{S6t`Zp9yB%al z-}%EV5a(z&fQ}SpdMl+2VG!K}WpE7{R1+3!Bj~v~d0g{DgSoMC#^WwK{ZL?Swb>}J$&Uim#Cd7Wje?GGq}E_w zi}Wz9W|W%H#Z);QsVaEi-4avFHwPo3>|oU7PxTmiuz zN<)rRyPqp-v~AuVILBwu)X~4L^-t=6^;T^VEd60Gff45ts?dz;VS;A&7Eyfq;o*|pt;%`YPd!bLR_3V=OA5! z%5||UJ39H_iS&5;tW5#+F7iDQpqwXxFEmNqc(AKAyr%NqP_iwcDE9*jUC7MzSAEd3 z_V3F?IK{tY$V zRQu=?l)d%5`%BbLJ3~gs1>lg;KLf$sWA^-CQk+J*q0ojMt0sW!?gt>r0)v;o;ze`a z92)#AunO5yB-=j^tVM%547X<9N2zUv+BC}j!nMIr>1GsGJ{>>?@rXhycv}EDH6|2i zS8|^BNe_Xk%7wh~A8M+|pa2;ea=T>^4qK9&zZw`g;+1=MX3H=t?l zHv%}_c}^=y%qVzZ+=<>)=XkAk8!2BoGG&R(6z_I}E>Rgt_3x&<&LkJI1LgAR$ehYZ z1zIBLK+WEg>Y(Zs#1>z;qRM6Sb7ZEr0SdXC3D9O;tDjZvMru-RS72TinY$cVv8A*n6~*zuW(vhcQfphpDHW>!9$(n4bB^>1 z-);ubdd>5Cl^~7Wu$_KsBfLj#VCuVCSI#)d_&)WXy9?C!uZvY*69IWfm`W z>E#N8lEb51Qc-Tp5|sbS3&ddsWxmG)Q=(FiUXI{U8wvGL(GTsgnKgH4XT&uwroKw* zrwBe6U_fR)JF2;Ij?^h|xO>h444GB74uK&|PQ4!Zb4qBf6Gws;azTgb_%O3xcCiGe z&H#k4HZ^}*K~2P|<=@bbpwpG?1D$0MALZ_UA%Y|Lz}afFKd|;v0Ey#c$7v*>a^23% zYd2FlDvtgIQtA0@bGHvm?PZ{PG8}5oM*a$Fj2-i(z{+zZzznb58^DFOo{4m`sBWH! zgfvd5H&3-wrM61?y{SCa%_D)O-;v5C@nkn~Hv=e_LlV+KayGE!_8FJRQnbFaLMlxg zQk&0R)TGLUqXVQu`y)?*QSVR&h6#O0$Vtwf>QW+3^S2xaqtMmY1Ed*nnz(BL2D^yc z3wCz^nNZpHjDPYene{p+1E1mxdG|VBYzrVec6SEWqP(xo2k1W#p#FG(#ZLwpJs4mW zDJ#sOL#n*GFF^hz?d8Dyod$Pl$M;9jb>4OgZ78$`b77*)*l<^$&RY%iYf)&+`3<_% zuLN+tu;W}{{t0#dF#RqYR3X++iB;IG@^+cn+2uSWoUERLKo6a`fOkhKudK^mFeU? z99Ypz#+VphBDj@QRCAAfbs@L~>}UX`TNkDU$e2!OUb0oArblhO zx0OehoJgtHlfins^%DC4sOF$9%v@wPku(AH)#@U|4rF!@mk~?C|mThdKy5h z>g50%OiqL@*Dg{G)z@qe-~yqL*;SE7mIqxkGexz~NDJ0+F)$6oGQ~Oz1T+&cVxHVqe=Reon5#RYtN^;F5cfGXb%CWZBm(AJd zlXsoul*cYgHbUlpI5RvuJt?L4eJvH`!LY_Tf?yTi(X-98`NC)b;`?>&Ar{l~}= zrhCdsya0@K<%;q=uvZY8Q?Bn*O8e)-7?IxQZvWc(Z3EF5zQRfT#Jj0fQG2z#b@NUr4@COKKZC;7-2%@mO<<`iCg>-uc`)Y@)98lSjR$@~Kj$Uuu}^aG`3j!f zZo&`1|F4$-ggKw-K8SB01vqazJMTyM5dgn`82%wQ%D&T$a{mA0opAnRxGJ}K{tNyy==_(Xg6ll_ zfSmi@c~3sTx&AOf&VQMY{z1e)3SgK#K$gMx+dcmuck#&i|1tNSxI))|3$U;D1NJY| za13xPkk^y{llQXUIabJ***ENu!+?(ixXyR$|D*Ue1~>*d4tN@H0`O_TGl0(ko&|gs zz_sFY0ImTlfMZPdzlLxekN_kB6Mz&T4afkpfJwk}fKvc3t*1Tjvz~AP;V*jLzvPC` z!Jh}b05}g=09*iE1S|rU051ZT0ha(T0bT~Y0{Aju1@J21D*)ExtMGL<%=a?Fls77# zI9cC1;;Mj}?;ElW{(3L={|qGFI;7DWMq&egP`MYwP`IZc|3(nv+Q5P6 z#P)ug_{_OYw*dZ^&L|_k258(uPt1c-jz!Yma1!-+9tVDQC3$pE{FL?N_qfc1y63T1UVKmHkDHo$$?u?EydTi93`yftz1$tTwz>N=#IPR950$$KUL z_2YLiQ4(@2kvY_36Kevc4@v@z^*XFSLLZ~<6%;?$OLzHiqpW@9iDLC@f_CDpK_8+t z)I?ogK;Uwyqqy(7MJ}TkC2!$scO5gIz_AAdl>B>If|%bfS~k$0cmMdqx0jZKF)UE#0=}M z^*VX^l=6pcgVvYsp=o@Q{I?T+N6Y6*P!{%qUiFdsUqAS#df;!#UtDd;mwS&v>ff}< z%6+izRJXp+hF^3Upr8I0{!sqAALPH6-lpY%`_a+@Xu$@t47*Ycd^akdB0-nO3CJVu z7R1i^DM>o>S%qcG(K$?5RVWK?VwO$9I=%>Qu!3~7^%R8_PQ?r~VGpkeNwib`jlr`L z6&KbLP|)Y}D0W>tu|Wh?^}wrXgIB7B$ufA>u_fAH@wzw@m(-k7TXc>3yFw{HIF z#?St>5kL9ur&GUrm#rjOf%JRk&;I+*`r=Q1@QZi9@t=SG@YT%g9rClxu5J(_oKrha zk^cD~@_)x3OdWVc_k9PSHB28KNY;VrJ;W1DmX%C7&hhn7uAxre|9~l+MryZYr zFXSoIN9QJ27V|5Xtrx3?S~e?{re)SQ)N4kuX~tKqO`~M$)m40N*sC?8e6^w1qD9@_ zz7cbsO5gX8-)?Tl#$($By=oaUKld?6%ZY@M(NfuRN!5zkxSC9)G&N&nV`{mSDru>5 zrdUp-Bg*TM{A3Kj8@YI4E}fjy)R}ZLp=w$_rsn3f91!PXv)NdoP?$~J+&(pLTBU+n zHLU6FK`Gn5k(kNG;#xeR7BacCn#^hwYPJy5RMfGMjb&n)Og?t=wZUs<)vHY#t=urG zx@}%HCc8KDp31Q2=tiXfGhzSl9ht-Qe<=Um-}2w6_rG6$_Aeb`CF!t!I9yLrMnHd% zRqf~xEC2VhKL)h__bq==_6lNu_2QQ{x(@dLzVY8?`+tOI+@uY-V<-6{&){9!pKgQw zU!14!Xa9xgFKDl&D;pKPS+!T~+GaejrK7fC*_L73=EhpLEjK5l`(!_|JqLBe=BFK* z_zAC!|1DOJpZogHADW&CS|7@eGQX2&^K{U>OgC)(hiN-mPpQkucltr&?l%5T^<0F` z*%X$aI_yDl*r4M0tq9Gm24f6&-?$gLg*fSG|NJRnR#=jpQ#I5nX?*dXWm6(`QYjuHvm9{L8?&vb%#|Av}-#POOF#sZpFBa-JGa5b-S03UG1vj;F0? zV;~K`9MPJWU?8&v1#gWg1vT_L`=T+@{a|4(aO{oF9N-M($g$v;Myl=oHNTEM%H&8> zz>~izdL8W@ym#z{&(jsX#PG3 z^}oAk&Gh$0sQ=wf+p@nmLj8~DsO|-;|GlaI^}l=3nGPp*boKGQdooh9=;VkP>%a|yw5Nwe(tL|&byPze=%XnXLts6xIvF6&JU)N39Xn+Wz|%ABB>^mT3XG-%bHrsmNh+{h-+F_ z7md;QWJxqD36>DjUVAvy_(H_RqW{N~Du<49UoWof+%T)BSxIzR&9~;rj2` z4U)r`h6V8AgDmI}C)f3Pv(%_t^@<%` zHm#;!U9_8JvmU*GplNR{)$3I&x@2zR(KI&~^wPS%W{i(58x7u8n8G=@7=Pnqvp5^q zY#37;M$>NS)$y@~X0d9P&Kf9V-Po8a#uAl@O1h$H<%yV{&=0U0Q(dqx;cQ)J)X~Le zo!1QVx~;Q>W2cyQ(LIO9FVpL*t23x4&gB(Mqgoa`eX@Bd714|D$`l>Y~~G}W!qLis<~UAH?btp6WWirXyz W%ew$~L;ertztNWe0xhyV68#UG@}3C* literal 0 HcmV?d00001 diff --git a/optimizedSD/ddpm.py b/optimizedSD/ddpm.py new file mode 100644 index 00000000..79058bca --- /dev/null +++ b/optimizedSD/ddpm.py @@ -0,0 +1,1057 @@ +""" +wild mixture of +https://github.com/lucidrains/denoising-diffusion-pytorch/blob/7706bdfc6f527f58d33f84b7b522e61e6e3164b3/denoising_diffusion_pytorch/denoising_diffusion_pytorch.py +https://github.com/openai/improved-diffusion/blob/e94489283bb876ac1477d5dd7709bbbd2d9902ce/improved_diffusion/gaussian_diffusion.py +https://github.com/CompVis/taming-transformers +-- merci +""" + +import time, math +from tqdm.auto import trange, tqdm +import torch +from einops import rearrange +from tqdm import tqdm +from ldm.modules.distributions.distributions import DiagonalGaussianDistribution +from ldm.models.autoencoder import VQModelInterface +import torch.nn as nn +import numpy as np +import pytorch_lightning as pl +from functools import partial +from pytorch_lightning.utilities.distributed import rank_zero_only +from ldm.util import exists, default, instantiate_from_config +from ldm.modules.diffusionmodules.util import make_beta_schedule +from ldm.modules.diffusionmodules.util import make_ddim_sampling_parameters, make_ddim_timesteps, noise_like +from ldm.modules.diffusionmodules.util import make_beta_schedule, extract_into_tensor, noise_like +from .samplers import CompVisDenoiser, get_ancestral_step, to_d, append_dims,linear_multistep_coeff + +def disabled_train(self): + """Overwrite model.train with this function to make sure train/eval mode + does not change anymore.""" + return self + + +class DDPM(pl.LightningModule): + # classic DDPM with Gaussian diffusion, in image space + def __init__(self, + timesteps=1000, + beta_schedule="linear", + ckpt_path=None, + ignore_keys=[], + load_only_unet=False, + monitor="val/loss", + use_ema=True, + first_stage_key="image", + image_size=256, + channels=3, + log_every_t=100, + clip_denoised=True, + linear_start=1e-4, + linear_end=2e-2, + cosine_s=8e-3, + given_betas=None, + original_elbo_weight=0., + v_posterior=0., # weight for choosing posterior variance as sigma = (1-v) * beta_tilde + v * beta + l_simple_weight=1., + conditioning_key=None, + parameterization="eps", # all assuming fixed variance schedules + scheduler_config=None, + use_positional_encodings=False, + ): + super().__init__() + assert parameterization in ["eps", "x0"], 'currently only supporting "eps" and "x0"' + self.parameterization = parameterization + print(f"{self.__class__.__name__}: Running in {self.parameterization}-prediction mode") + self.cond_stage_model = None + self.clip_denoised = clip_denoised + self.log_every_t = log_every_t + self.first_stage_key = first_stage_key + self.image_size = image_size # try conv? + self.channels = channels + self.use_positional_encodings = use_positional_encodings + self.use_scheduler = scheduler_config is not None + if self.use_scheduler: + self.scheduler_config = scheduler_config + + self.v_posterior = v_posterior + self.original_elbo_weight = original_elbo_weight + self.l_simple_weight = l_simple_weight + + if monitor is not None: + self.monitor = monitor + if ckpt_path is not None: + self.init_from_ckpt(ckpt_path, ignore_keys=ignore_keys, only_model=load_only_unet) + self.register_schedule(given_betas=given_betas, beta_schedule=beta_schedule, timesteps=timesteps, + linear_start=linear_start, linear_end=linear_end, cosine_s=cosine_s) + + + def register_schedule(self, given_betas=None, beta_schedule="linear", timesteps=1000, + linear_start=1e-4, linear_end=2e-2, cosine_s=8e-3): + if exists(given_betas): + betas = given_betas + else: + betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end, + cosine_s=cosine_s) + alphas = 1. - betas + alphas_cumprod = np.cumprod(alphas, axis=0) + + timesteps, = betas.shape + self.num_timesteps = int(timesteps) + self.linear_start = linear_start + self.linear_end = linear_end + assert alphas_cumprod.shape[0] == self.num_timesteps, 'alphas have to be defined for each timestep' + + to_torch = partial(torch.tensor, dtype=torch.float32) + + self.register_buffer('betas', to_torch(betas)) + self.register_buffer('alphas_cumprod', to_torch(alphas_cumprod)) + + +class FirstStage(DDPM): + """main class""" + def __init__(self, + first_stage_config, + num_timesteps_cond=None, + cond_stage_key="image", + cond_stage_trainable=False, + concat_mode=True, + cond_stage_forward=None, + conditioning_key=None, + scale_factor=1.0, + scale_by_std=False, + *args, **kwargs): + self.num_timesteps_cond = default(num_timesteps_cond, 1) + self.scale_by_std = scale_by_std + assert self.num_timesteps_cond <= kwargs['timesteps'] + # for backwards compatibility after implementation of DiffusionWrapper + if conditioning_key is None: + conditioning_key = 'concat' if concat_mode else 'crossattn' + ckpt_path = kwargs.pop("ckpt_path", None) + ignore_keys = kwargs.pop("ignore_keys", []) + super().__init__() + self.concat_mode = concat_mode + self.cond_stage_trainable = cond_stage_trainable + self.cond_stage_key = cond_stage_key + try: + self.num_downs = len(first_stage_config.params.ddconfig.ch_mult) - 1 + except: + self.num_downs = 0 + if not scale_by_std: + self.scale_factor = scale_factor + self.instantiate_first_stage(first_stage_config) + self.cond_stage_forward = cond_stage_forward + self.clip_denoised = False + self.bbox_tokenizer = None + + self.restarted_from_ckpt = False + if ckpt_path is not None: + self.init_from_ckpt(ckpt_path, ignore_keys) + self.restarted_from_ckpt = True + + + def instantiate_first_stage(self, config): + model = instantiate_from_config(config) + self.first_stage_model = model.eval() + self.first_stage_model.train = disabled_train + for param in self.first_stage_model.parameters(): + param.requires_grad = False + + def get_first_stage_encoding(self, encoder_posterior): + if isinstance(encoder_posterior, DiagonalGaussianDistribution): + z = encoder_posterior.sample() + elif isinstance(encoder_posterior, torch.Tensor): + z = encoder_posterior + else: + raise NotImplementedError(f"encoder_posterior of type '{type(encoder_posterior)}' not yet implemented") + return self.scale_factor * z + + + @torch.no_grad() + def decode_first_stage(self, z, predict_cids=False, force_not_quantize=False): + if predict_cids: + if z.dim() == 4: + z = torch.argmax(z.exp(), dim=1).long() + z = self.first_stage_model.quantize.get_codebook_entry(z, shape=None) + z = rearrange(z, 'b h w c -> b c h w').contiguous() + + z = 1. / self.scale_factor * z + + if hasattr(self, "split_input_params"): + if isinstance(self.first_stage_model, VQModelInterface): + return self.first_stage_model.decode(z, force_not_quantize=predict_cids or force_not_quantize) + else: + return self.first_stage_model.decode(z) + + else: + if isinstance(self.first_stage_model, VQModelInterface): + return self.first_stage_model.decode(z, force_not_quantize=predict_cids or force_not_quantize) + else: + return self.first_stage_model.decode(z) + + + @torch.no_grad() + def encode_first_stage(self, x): + if hasattr(self, "split_input_params"): + if self.split_input_params["patch_distributed_vq"]: + ks = self.split_input_params["ks"] # eg. (128, 128) + stride = self.split_input_params["stride"] # eg. (64, 64) + df = self.split_input_params["vqf"] + self.split_input_params['original_image_size'] = x.shape[-2:] + bs, nc, h, w = x.shape + if ks[0] > h or ks[1] > w: + ks = (min(ks[0], h), min(ks[1], w)) + print("reducing Kernel") + + if stride[0] > h or stride[1] > w: + stride = (min(stride[0], h), min(stride[1], w)) + print("reducing stride") + + fold, unfold, normalization, weighting = self.get_fold_unfold(x, ks, stride, df=df) + z = unfold(x) # (bn, nc * prod(**ks), L) + # Reshape to img shape + z = z.view((z.shape[0], -1, ks[0], ks[1], z.shape[-1])) # (bn, nc, ks[0], ks[1], L ) + + output_list = [self.first_stage_model.encode(z[:, :, :, :, i]) + for i in range(z.shape[-1])] + + o = torch.stack(output_list, axis=-1) + o = o * weighting + + # Reverse reshape to img shape + o = o.view((o.shape[0], -1, o.shape[-1])) # (bn, nc * ks[0] * ks[1], L) + # stitch crops together + decoded = fold(o) + decoded = decoded / normalization + return decoded + + else: + return self.first_stage_model.encode(x) + else: + return self.first_stage_model.encode(x) + + +class CondStage(DDPM): + """main class""" + def __init__(self, + cond_stage_config, + num_timesteps_cond=None, + cond_stage_key="image", + cond_stage_trainable=False, + concat_mode=True, + cond_stage_forward=None, + conditioning_key=None, + scale_factor=1.0, + scale_by_std=False, + *args, **kwargs): + self.num_timesteps_cond = default(num_timesteps_cond, 1) + self.scale_by_std = scale_by_std + assert self.num_timesteps_cond <= kwargs['timesteps'] + # for backwards compatibility after implementation of DiffusionWrapper + if conditioning_key is None: + conditioning_key = 'concat' if concat_mode else 'crossattn' + if cond_stage_config == '__is_unconditional__': + conditioning_key = None + ckpt_path = kwargs.pop("ckpt_path", None) + ignore_keys = kwargs.pop("ignore_keys", []) + super().__init__() + self.concat_mode = concat_mode + self.cond_stage_trainable = cond_stage_trainable + self.cond_stage_key = cond_stage_key + self.num_downs = 0 + if not scale_by_std: + self.scale_factor = scale_factor + self.instantiate_cond_stage(cond_stage_config) + self.cond_stage_forward = cond_stage_forward + self.clip_denoised = False + self.bbox_tokenizer = None + + self.restarted_from_ckpt = False + if ckpt_path is not None: + self.init_from_ckpt(ckpt_path, ignore_keys) + self.restarted_from_ckpt = True + + def instantiate_cond_stage(self, config): + if not self.cond_stage_trainable: + if config == "__is_first_stage__": + print("Using first stage also as cond stage.") + self.cond_stage_model = self.first_stage_model + elif config == "__is_unconditional__": + print(f"Training {self.__class__.__name__} as an unconditional model.") + self.cond_stage_model = None + # self.be_unconditional = True + else: + model = instantiate_from_config(config) + self.cond_stage_model = model.eval() + self.cond_stage_model.train = disabled_train + for param in self.cond_stage_model.parameters(): + param.requires_grad = False + else: + assert config != '__is_first_stage__' + assert config != '__is_unconditional__' + model = instantiate_from_config(config) + self.cond_stage_model = model + + def get_learned_conditioning(self, c): + if self.cond_stage_forward is None: + if hasattr(self.cond_stage_model, 'encode') and callable(self.cond_stage_model.encode): + c = self.cond_stage_model.encode(c) + if isinstance(c, DiagonalGaussianDistribution): + c = c.mode() + else: + c = self.cond_stage_model(c) + else: + assert hasattr(self.cond_stage_model, self.cond_stage_forward) + c = getattr(self.cond_stage_model, self.cond_stage_forward)(c) + return c + +class DiffusionWrapper(pl.LightningModule): + def __init__(self, diff_model_config): + super().__init__() + self.diffusion_model = instantiate_from_config(diff_model_config) + + def forward(self, x, t, cc): + out = self.diffusion_model(x, t, context=cc) + return out + +class DiffusionWrapperOut(pl.LightningModule): + def __init__(self, diff_model_config): + super().__init__() + self.diffusion_model = instantiate_from_config(diff_model_config) + + def forward(self, h,emb,tp,hs, cc): + return self.diffusion_model(h,emb,tp,hs, context=cc) + + +class UNet(DDPM): + """main class""" + def __init__(self, + unetConfigEncode, + unetConfigDecode, + num_timesteps_cond=None, + cond_stage_key="image", + cond_stage_trainable=False, + concat_mode=True, + cond_stage_forward=None, + conditioning_key=None, + scale_factor=1.0, + unet_bs = 1, + scale_by_std=False, + *args, **kwargs): + self.num_timesteps_cond = default(num_timesteps_cond, 1) + self.scale_by_std = scale_by_std + assert self.num_timesteps_cond <= kwargs['timesteps'] + # for backwards compatibility after implementation of DiffusionWrapper + if conditioning_key is None: + conditioning_key = 'concat' if concat_mode else 'crossattn' + ckpt_path = kwargs.pop("ckpt_path", None) + ignore_keys = kwargs.pop("ignore_keys", []) + super().__init__(conditioning_key=conditioning_key, *args, **kwargs) + self.concat_mode = concat_mode + self.cond_stage_trainable = cond_stage_trainable + self.cond_stage_key = cond_stage_key + self.num_downs = 0 + self.cdevice = "cuda" + self.unetConfigEncode = unetConfigEncode + self.unetConfigDecode = unetConfigDecode + if not scale_by_std: + self.scale_factor = scale_factor + else: + self.register_buffer('scale_factor', torch.tensor(scale_factor)) + self.cond_stage_forward = cond_stage_forward + self.clip_denoised = False + self.bbox_tokenizer = None + self.model1 = DiffusionWrapper(self.unetConfigEncode) + self.model2 = DiffusionWrapperOut(self.unetConfigDecode) + self.model1.eval() + self.model2.eval() + self.turbo = False + self.unet_bs = unet_bs + self.restarted_from_ckpt = False + if ckpt_path is not None: + self.init_from_ckpt(ckpt_path, ignore_keys) + self.restarted_from_ckpt = True + + def make_cond_schedule(self, ): + self.cond_ids = torch.full(size=(self.num_timesteps,), fill_value=self.num_timesteps - 1, dtype=torch.long) + ids = torch.round(torch.linspace(0, self.num_timesteps - 1, self.num_timesteps_cond)).long() + self.cond_ids[:self.num_timesteps_cond] = ids + + @rank_zero_only + @torch.no_grad() + def on_train_batch_start(self, batch, batch_idx): + # only for very first batch + if self.scale_by_std and self.current_epoch == 0 and self.global_step == 0 and batch_idx == 0 and not self.restarted_from_ckpt: + assert self.scale_factor == 1., 'rather not use custom rescaling and std-rescaling simultaneously' + # set rescale weight to 1./std of encodings + print("### USING STD-RESCALING ###") + x = super().get_input(batch, self.first_stage_key) + x = x.to(self.cdevice) + encoder_posterior = self.encode_first_stage(x) + z = self.get_first_stage_encoding(encoder_posterior).detach() + del self.scale_factor + self.register_buffer('scale_factor', 1. / z.flatten().std()) + print(f"setting self.scale_factor to {self.scale_factor}") + print("### USING STD-RESCALING ###") + + + def apply_model(self, x_noisy, t, cond, return_ids=False): + + if(not self.turbo): + self.model1.to(self.cdevice) + + step = self.unet_bs + h,emb,hs = self.model1(x_noisy[0:step], t[:step], cond[:step]) + bs = cond.shape[0] + + # assert bs%2 == 0 + lenhs = len(hs) + + for i in range(step,bs,step): + h_temp,emb_temp,hs_temp = self.model1(x_noisy[i:i+step], t[i:i+step], cond[i:i+step]) + h = torch.cat((h,h_temp)) + emb = torch.cat((emb,emb_temp)) + for j in range(lenhs): + hs[j] = torch.cat((hs[j], hs_temp[j])) + + + if(not self.turbo): + self.model1.to("cpu") + self.model2.to(self.cdevice) + + hs_temp = [hs[j][:step] for j in range(lenhs)] + x_recon = self.model2(h[:step],emb[:step],x_noisy.dtype,hs_temp,cond[:step]) + + for i in range(step,bs,step): + + hs_temp = [hs[j][i:i+step] for j in range(lenhs)] + x_recon1 = self.model2(h[i:i+step],emb[i:i+step],x_noisy.dtype,hs_temp,cond[i:i+step]) + x_recon = torch.cat((x_recon, x_recon1)) + + if(not self.turbo): + self.model2.to("cpu") + + if isinstance(x_recon, tuple) and not return_ids: + return x_recon[0] + else: + return x_recon + + def register_buffer1(self, name, attr): + if type(attr) == torch.Tensor: + if attr.device != torch.device(self.cdevice): + attr = attr.to(torch.device(self.cdevice)) + setattr(self, name, attr) + + def make_schedule(self, ddim_num_steps, ddim_discretize="uniform", ddim_eta=0., verbose=True): + + + self.ddim_timesteps = make_ddim_timesteps(ddim_discr_method=ddim_discretize, num_ddim_timesteps=ddim_num_steps, + num_ddpm_timesteps=self.num_timesteps,verbose=verbose) + + + assert self.alphas_cumprod.shape[0] == self.num_timesteps, 'alphas have to be defined for each timestep' + + + to_torch = lambda x: x.to(self.cdevice) + self.register_buffer1('betas', to_torch(self.betas)) + self.register_buffer1('alphas_cumprod', to_torch(self.alphas_cumprod)) + # ddim sampling parameters + ddim_sigmas, ddim_alphas, ddim_alphas_prev = make_ddim_sampling_parameters(alphacums=self.alphas_cumprod.cpu(), + ddim_timesteps=self.ddim_timesteps, + eta=ddim_eta,verbose=verbose) + self.register_buffer1('ddim_sigmas', ddim_sigmas) + self.register_buffer1('ddim_alphas', ddim_alphas) + self.register_buffer1('ddim_alphas_prev', ddim_alphas_prev) + self.register_buffer1('ddim_sqrt_one_minus_alphas', np.sqrt(1. - ddim_alphas)) + + + @torch.no_grad() + def sample(self, + S, + conditioning, + x0=None, + shape = None, + seed=1234, + callback=None, + img_callback=None, + quantize_x0=False, + eta=0., + mask=None, + sampler = "plms", + temperature=1., + noise_dropout=0., + score_corrector=None, + corrector_kwargs=None, + verbose=True, + x_T=None, + log_every_t=100, + unconditional_guidance_scale=1., + unconditional_conditioning=None, + ): + + + if(self.turbo): + self.model1.to(self.cdevice) + self.model2.to(self.cdevice) + + if x0 is None: + batch_size, b1, b2, b3 = shape + img_shape = (1, b1, b2, b3) + tens = [] + print("seeds used = ", [seed+s for s in range(batch_size)]) + for _ in range(batch_size): + torch.manual_seed(seed) + tens.append(torch.randn(img_shape, device=self.cdevice)) + seed+=1 + noise = torch.cat(tens) + del tens + + x_latent = noise if x0 is None else x0 + # sampling + if sampler in ('ddim', 'dpm2', 'heun', 'dpm2_a', 'lms') and not hasattr(self, 'ddim_timesteps'): + self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=False) + + if sampler == "plms": + self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=False) + print(f'Data shape for PLMS sampling is {shape}') + samples = self.plms_sampling(conditioning, batch_size, x_latent, + callback=callback, + img_callback=img_callback, + quantize_denoised=quantize_x0, + mask=mask, x0=x0, + ddim_use_original_steps=False, + noise_dropout=noise_dropout, + temperature=temperature, + score_corrector=score_corrector, + corrector_kwargs=corrector_kwargs, + log_every_t=log_every_t, + unconditional_guidance_scale=unconditional_guidance_scale, + unconditional_conditioning=unconditional_conditioning, + ) + + elif sampler == "ddim": + samples = self.ddim_sampling(x_latent, conditioning, S, unconditional_guidance_scale=unconditional_guidance_scale, + unconditional_conditioning=unconditional_conditioning, + mask = mask,init_latent=x_T,use_original_steps=False, + callback=callback, img_callback=img_callback) + + elif sampler == "euler": + self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=False) + samples = self.euler_sampling(self.alphas_cumprod,x_latent, S, conditioning, unconditional_conditioning=unconditional_conditioning, + unconditional_guidance_scale=unconditional_guidance_scale, + callback=callback, img_callback=img_callback) + elif sampler == "euler_a": + self.make_schedule(ddim_num_steps=S, ddim_eta=eta, verbose=False) + samples = self.euler_ancestral_sampling(self.alphas_cumprod,x_latent, S, conditioning, unconditional_conditioning=unconditional_conditioning, + unconditional_guidance_scale=unconditional_guidance_scale, + callback=callback, img_callback=img_callback) + + elif sampler == "dpm2": + samples = self.dpm_2_sampling(self.alphas_cumprod,x_latent, S, conditioning, unconditional_conditioning=unconditional_conditioning, + unconditional_guidance_scale=unconditional_guidance_scale, + callback=callback, img_callback=img_callback) + elif sampler == "heun": + samples = self.heun_sampling(self.alphas_cumprod,x_latent, S, conditioning, unconditional_conditioning=unconditional_conditioning, + unconditional_guidance_scale=unconditional_guidance_scale, + callback=callback, img_callback=img_callback) + + elif sampler == "dpm2_a": + samples = self.dpm_2_ancestral_sampling(self.alphas_cumprod,x_latent, S, conditioning, unconditional_conditioning=unconditional_conditioning, + unconditional_guidance_scale=unconditional_guidance_scale, + callback=callback, img_callback=img_callback) + + + elif sampler == "lms": + samples = self.lms_sampling(self.alphas_cumprod,x_latent, S, conditioning, unconditional_conditioning=unconditional_conditioning, + unconditional_guidance_scale=unconditional_guidance_scale, + callback=callback, img_callback=img_callback) + + if(self.turbo): + self.model1.to("cpu") + self.model2.to("cpu") + + return samples + + @torch.no_grad() + def plms_sampling(self, cond,b, img, + ddim_use_original_steps=False, + callback=None, quantize_denoised=False, + mask=None, x0=None, img_callback=None, log_every_t=100, + temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None, + unconditional_guidance_scale=1., unconditional_conditioning=None,): + + device = self.betas.device + timesteps = self.ddim_timesteps + time_range = np.flip(timesteps) + total_steps = timesteps.shape[0] + print(f"Running PLMS Sampling with {total_steps} timesteps") + + iterator = tqdm(time_range, desc='PLMS Sampler', total=total_steps) + old_eps = [] + + for i, step in enumerate(iterator): + index = total_steps - i - 1 + ts = torch.full((b,), step, device=device, dtype=torch.long) + ts_next = torch.full((b,), time_range[min(i + 1, len(time_range) - 1)], device=device, dtype=torch.long) + + if mask is not None: + assert x0 is not None + img_orig = self.q_sample(x0, ts) # TODO: deterministic forward pass? + img = img_orig * mask + (1. - mask) * img + + outs = self.p_sample_plms(img, cond, ts, index=index, use_original_steps=ddim_use_original_steps, + quantize_denoised=quantize_denoised, temperature=temperature, + noise_dropout=noise_dropout, score_corrector=score_corrector, + corrector_kwargs=corrector_kwargs, + unconditional_guidance_scale=unconditional_guidance_scale, + unconditional_conditioning=unconditional_conditioning, + old_eps=old_eps, t_next=ts_next) + img, pred_x0, e_t = outs + old_eps.append(e_t) + if len(old_eps) >= 4: + old_eps.pop(0) + if callback: callback(i) + if img_callback: img_callback(pred_x0, i) + + return img + + @torch.no_grad() + def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False, + temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None, + unconditional_guidance_scale=1., unconditional_conditioning=None, old_eps=None, t_next=None): + b, *_, device = *x.shape, x.device + + def get_model_output(x, t): + if unconditional_conditioning is None or unconditional_guidance_scale == 1.: + e_t = self.apply_model(x, t, c) + else: + x_in = torch.cat([x] * 2) + t_in = torch.cat([t] * 2) + c_in = torch.cat([unconditional_conditioning, c]) + e_t_uncond, e_t = self.apply_model(x_in, t_in, c_in).chunk(2) + e_t = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + if score_corrector is not None: + assert self.parameterization == "eps" + e_t = score_corrector.modify_score(self.model, e_t, x, t, c, **corrector_kwargs) + + return e_t + + alphas = self.ddim_alphas + alphas_prev = self.ddim_alphas_prev + sqrt_one_minus_alphas = self.ddim_sqrt_one_minus_alphas + sigmas = self.ddim_sigmas + + def get_x_prev_and_pred_x0(e_t, index): + # select parameters corresponding to the currently considered timestep + a_t = torch.full((b, 1, 1, 1), alphas[index], device=device) + a_prev = torch.full((b, 1, 1, 1), alphas_prev[index], device=device) + sigma_t = torch.full((b, 1, 1, 1), sigmas[index], device=device) + sqrt_one_minus_at = torch.full((b, 1, 1, 1), sqrt_one_minus_alphas[index],device=device) + + # current prediction for x_0 + pred_x0 = (x - sqrt_one_minus_at * e_t) / a_t.sqrt() + if quantize_denoised: + pred_x0, _, *_ = self.first_stage_model.quantize(pred_x0) + # direction pointing to x_t + dir_xt = (1. - a_prev - sigma_t**2).sqrt() * e_t + noise = sigma_t * noise_like(x.shape, device, repeat_noise) * temperature + if noise_dropout > 0.: + noise = torch.nn.functional.dropout(noise, p=noise_dropout) + x_prev = a_prev.sqrt() * pred_x0 + dir_xt + noise + return x_prev, pred_x0 + + e_t = get_model_output(x, t) + if len(old_eps) == 0: + # Pseudo Improved Euler (2nd order) + x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t, index) + e_t_next = get_model_output(x_prev, t_next) + e_t_prime = (e_t + e_t_next) / 2 + elif len(old_eps) == 1: + # 2nd order Pseudo Linear Multistep (Adams-Bashforth) + e_t_prime = (3 * e_t - old_eps[-1]) / 2 + elif len(old_eps) == 2: + # 3nd order Pseudo Linear Multistep (Adams-Bashforth) + e_t_prime = (23 * e_t - 16 * old_eps[-1] + 5 * old_eps[-2]) / 12 + elif len(old_eps) >= 3: + # 4nd order Pseudo Linear Multistep (Adams-Bashforth) + e_t_prime = (55 * e_t - 59 * old_eps[-1] + 37 * old_eps[-2] - 9 * old_eps[-3]) / 24 + + x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t_prime, index) + + return x_prev, pred_x0, e_t + + + @torch.no_grad() + def stochastic_encode(self, x0, t, seed, ddim_eta,ddim_steps,use_original_steps=False, noise=None): + # fast, but does not allow for exact reconstruction + # t serves as an index to gather the correct alphas + self.make_schedule(ddim_num_steps=ddim_steps, ddim_eta=ddim_eta, verbose=False) + sqrt_alphas_cumprod = torch.sqrt(self.ddim_alphas) + + if noise is None: + b0, b1, b2, b3 = x0.shape + img_shape = (1, b1, b2, b3) + tens = [] + print("seeds used = ", [seed+s for s in range(b0)]) + for _ in range(b0): + torch.manual_seed(seed) + tens.append(torch.randn(img_shape, device=x0.device)) + seed+=1 + noise = torch.cat(tens) + del tens + return (extract_into_tensor(sqrt_alphas_cumprod, t, x0.shape) * x0 + + extract_into_tensor(self.ddim_sqrt_one_minus_alphas, t, x0.shape) * noise) + + @torch.no_grad() + def add_noise(self, x0, t): + + sqrt_alphas_cumprod = torch.sqrt(self.ddim_alphas) + noise = torch.randn(x0.shape, device=x0.device) + + # print(extract_into_tensor(sqrt_alphas_cumprod, t, x0.shape), + # extract_into_tensor(self.ddim_sqrt_one_minus_alphas, t, x0.shape)) + return (extract_into_tensor(sqrt_alphas_cumprod, t, x0.shape) * x0 + + extract_into_tensor(self.ddim_sqrt_one_minus_alphas, t, x0.shape) * noise) + + + @torch.no_grad() + def ddim_sampling(self, x_latent, cond, t_start, unconditional_guidance_scale=1.0, unconditional_conditioning=None, + mask = None,init_latent=None,use_original_steps=False, + callback=None, img_callback=None): + + timesteps = self.ddim_timesteps + timesteps = timesteps[:t_start] + time_range = np.flip(timesteps) + total_steps = timesteps.shape[0] + print(f"Running DDIM Sampling with {total_steps} timesteps") + + iterator = tqdm(time_range, desc='Decoding image', total=total_steps) + x_dec = x_latent + x0 = init_latent + for i, step in enumerate(iterator): + index = total_steps - i - 1 + ts = torch.full((x_latent.shape[0],), step, device=x_latent.device, dtype=torch.long) + + if mask is not None: + # x0_noisy = self.add_noise(mask, torch.tensor([index] * x0.shape[0]).to(self.cdevice)) + x0_noisy = x0 + x_dec = x0_noisy* mask + (1. - mask) * x_dec + + x_dec = self.p_sample_ddim(x_dec, cond, ts, index=index, use_original_steps=use_original_steps, + unconditional_guidance_scale=unconditional_guidance_scale, + unconditional_conditioning=unconditional_conditioning) + + if callback: callback(i) + if img_callback: img_callback(x_dec, i) + + if mask is not None: + return x0 * mask + (1. - mask) * x_dec + + return x_dec + + + @torch.no_grad() + def p_sample_ddim(self, x, c, t, index, repeat_noise=False, use_original_steps=False, quantize_denoised=False, + temperature=1., noise_dropout=0., score_corrector=None, corrector_kwargs=None, + unconditional_guidance_scale=1., unconditional_conditioning=None): + b, *_, device = *x.shape, x.device + + if unconditional_conditioning is None or unconditional_guidance_scale == 1.: + e_t = self.apply_model(x, t, c) + else: + x_in = torch.cat([x] * 2) + t_in = torch.cat([t] * 2) + c_in = torch.cat([unconditional_conditioning, c]) + e_t_uncond, e_t = self.apply_model(x_in, t_in, c_in).chunk(2) + e_t = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + if score_corrector is not None: + assert self.model.parameterization == "eps" + e_t = score_corrector.modify_score(self.model, e_t, x, t, c, **corrector_kwargs) + + alphas = self.ddim_alphas + alphas_prev = self.ddim_alphas_prev + sqrt_one_minus_alphas = self.ddim_sqrt_one_minus_alphas + sigmas = self.ddim_sigmas + # select parameters corresponding to the currently considered timestep + a_t = torch.full((b, 1, 1, 1), alphas[index], device=device) + a_prev = torch.full((b, 1, 1, 1), alphas_prev[index], device=device) + sigma_t = torch.full((b, 1, 1, 1), sigmas[index], device=device) + sqrt_one_minus_at = torch.full((b, 1, 1, 1), sqrt_one_minus_alphas[index],device=device) + + # current prediction for x_0 + pred_x0 = (x - sqrt_one_minus_at * e_t) / a_t.sqrt() + if quantize_denoised: + pred_x0, _, *_ = self.first_stage_model.quantize(pred_x0) + # direction pointing to x_t + dir_xt = (1. - a_prev - sigma_t**2).sqrt() * e_t + noise = sigma_t * noise_like(x.shape, device, repeat_noise) * temperature + if noise_dropout > 0.: + noise = torch.nn.functional.dropout(noise, p=noise_dropout) + x_prev = a_prev.sqrt() * pred_x0 + dir_xt + noise + return x_prev + + + @torch.no_grad() + def euler_sampling(self, ac, x, S, cond, unconditional_conditioning = None, unconditional_guidance_scale = 1,extra_args=None,callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1., img_callback=None): + """Implements Algorithm 2 (Euler steps) from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + cvd = CompVisDenoiser(ac) + sigmas = cvd.get_sigmas(S) + x = x*sigmas[0] + + print(f"Running Euler Sampling with {len(sigmas) - 1} timesteps") + + s_in = x.new_ones([x.shape[0]]).half() + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = (sigmas[i] * (gamma + 1)).half() + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + + s_i = sigma_hat * s_in + x_in = torch.cat([x] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + + d = to_d(x, sigma_hat, denoised) + if callback: callback(i) + if img_callback: img_callback(x, i) + dt = sigmas[i + 1] - sigma_hat + # Euler method + x = x + d * dt + return x + + @torch.no_grad() + def euler_ancestral_sampling(self,ac,x, S, cond, unconditional_conditioning = None, unconditional_guidance_scale = 1,extra_args=None, callback=None, disable=None, img_callback=None): + """Ancestral sampling with Euler method steps.""" + extra_args = {} if extra_args is None else extra_args + + + cvd = CompVisDenoiser(ac) + sigmas = cvd.get_sigmas(S) + x = x*sigmas[0] + + print(f"Running Euler Ancestral Sampling with {len(sigmas) - 1} timesteps") + + s_in = x.new_ones([x.shape[0]]).half() + for i in trange(len(sigmas) - 1, disable=disable): + + s_i = sigmas[i] * s_in + x_in = torch.cat([x] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1]) + if callback: callback(i) + if img_callback: img_callback(x, i) + d = to_d(x, sigmas[i], denoised) + # Euler method + dt = sigma_down - sigmas[i] + x = x + d * dt + x = x + torch.randn_like(x) * sigma_up + return x + + + + @torch.no_grad() + def heun_sampling(self, ac, x, S, cond, unconditional_conditioning = None, unconditional_guidance_scale = 1, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1., img_callback=None): + """Implements Algorithm 2 (Heun steps) from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + + cvd = CompVisDenoiser(alphas_cumprod=ac) + sigmas = cvd.get_sigmas(S) + x = x*sigmas[0] + + print(f"Running Heun Sampling with {len(sigmas) - 1} timesteps") + + s_in = x.new_ones([x.shape[0]]).half() + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = (sigmas[i] * (gamma + 1)).half() + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + + s_i = sigma_hat * s_in + x_in = torch.cat([x] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + d = to_d(x, sigma_hat, denoised) + if callback: callback(i) + if img_callback: img_callback(x, i) + dt = sigmas[i + 1] - sigma_hat + if sigmas[i + 1] == 0: + # Euler method + x = x + d * dt + else: + # Heun's method + x_2 = x + d * dt + s_i = sigmas[i + 1] * s_in + x_in = torch.cat([x_2] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised_2 = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + d_2 = to_d(x_2, sigmas[i + 1], denoised_2) + d_prime = (d + d_2) / 2 + x = x + d_prime * dt + return x + + + @torch.no_grad() + def dpm_2_sampling(self,ac,x, S, cond, unconditional_conditioning = None, unconditional_guidance_scale = 1,extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1., img_callback=None): + """A sampler inspired by DPM-Solver-2 and Algorithm 2 from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + + cvd = CompVisDenoiser(ac) + sigmas = cvd.get_sigmas(S) + x = x*sigmas[0] + + print(f"Running DPM2 Sampling with {len(sigmas) - 1} timesteps") + + s_in = x.new_ones([x.shape[0]]).half() + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = sigmas[i] * (gamma + 1) + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + + s_i = sigma_hat * s_in + x_in = torch.cat([x] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + if callback: callback(i) + if img_callback: img_callback(x, i) + + d = to_d(x, sigma_hat, denoised) + # Midpoint method, where the midpoint is chosen according to a rho=3 Karras schedule + sigma_mid = ((sigma_hat ** (1 / 3) + sigmas[i + 1] ** (1 / 3)) / 2) ** 3 + dt_1 = sigma_mid - sigma_hat + dt_2 = sigmas[i + 1] - sigma_hat + x_2 = x + d * dt_1 + + s_i = sigma_mid * s_in + x_in = torch.cat([x_2] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised_2 = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + return x + + + @torch.no_grad() + def dpm_2_ancestral_sampling(self,ac,x, S, cond, unconditional_conditioning = None, unconditional_guidance_scale = 1, extra_args=None, callback=None, disable=None, img_callback=None): + """Ancestral sampling with DPM-Solver inspired second-order steps.""" + extra_args = {} if extra_args is None else extra_args + + cvd = CompVisDenoiser(ac) + sigmas = cvd.get_sigmas(S) + x = x*sigmas[0] + + print(f"Running DPM2 Ancestral Sampling with {len(sigmas) - 1} timesteps") + + s_in = x.new_ones([x.shape[0]]).half() + for i in trange(len(sigmas) - 1, disable=disable): + + s_i = sigmas[i] * s_in + x_in = torch.cat([x] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1]) + if callback: callback(i) + if img_callback: img_callback(x, i) + d = to_d(x, sigmas[i], denoised) + # Midpoint method, where the midpoint is chosen according to a rho=3 Karras schedule + sigma_mid = ((sigmas[i] ** (1 / 3) + sigma_down ** (1 / 3)) / 2) ** 3 + dt_1 = sigma_mid - sigmas[i] + dt_2 = sigma_down - sigmas[i] + x_2 = x + d * dt_1 + + s_i = sigma_mid * s_in + x_in = torch.cat([x_2] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised_2 = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + x = x + torch.randn_like(x) * sigma_up + return x + + + @torch.no_grad() + def lms_sampling(self,ac,x, S, cond, unconditional_conditioning = None, unconditional_guidance_scale = 1, extra_args=None, callback=None, disable=None, order=4, img_callback=None): + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + + cvd = CompVisDenoiser(ac) + sigmas = cvd.get_sigmas(S) + x = x*sigmas[0] + + print(f"Running LMS Sampling with {len(sigmas) - 1} timesteps") + + ds = [] + for i in trange(len(sigmas) - 1, disable=disable): + + s_i = sigmas[i] * s_in + x_in = torch.cat([x] * 2) + t_in = torch.cat([s_i] * 2) + cond_in = torch.cat([unconditional_conditioning, cond]) + c_out, c_in = [append_dims(tmp, x_in.ndim) for tmp in cvd.get_scalings(t_in)] + eps = self.apply_model(x_in * c_in, cvd.sigma_to_t(t_in), cond_in) + e_t_uncond, e_t = (x_in + eps * c_out).chunk(2) + denoised = e_t_uncond + unconditional_guidance_scale * (e_t - e_t_uncond) + + if callback: callback(i) + if img_callback: img_callback(x, i) + + d = to_d(x, sigmas[i], denoised) + ds.append(d) + if len(ds) > order: + ds.pop(0) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + cur_order = min(i + 1, order) + coeffs = [linear_multistep_coeff(cur_order, sigmas.cpu(), i, j) for j in range(cur_order)] + x = x + sum(coeff * d for coeff, d in zip(coeffs, reversed(ds))) + return x diff --git a/optimizedSD/openaimodelSplit.py b/optimizedSD/openaimodelSplit.py new file mode 100644 index 00000000..7a32ffe9 --- /dev/null +++ b/optimizedSD/openaimodelSplit.py @@ -0,0 +1,807 @@ +from abc import abstractmethod +import math +import numpy as np +import torch as th +import torch.nn as nn +import torch.nn.functional as F +from ldm.modules.diffusionmodules.util import ( + checkpoint, + conv_nd, + linear, + avg_pool_nd, + zero_module, + normalization, + timestep_embedding, +) +from .splitAttention import SpatialTransformer + + +class AttentionPool2d(nn.Module): + """ + Adapted from CLIP: https://github.com/openai/CLIP/blob/main/clip/model.py + """ + + def __init__( + self, + spacial_dim: int, + embed_dim: int, + num_heads_channels: int, + output_dim: int = None, + ): + super().__init__() + self.positional_embedding = nn.Parameter(th.randn(embed_dim, spacial_dim ** 2 + 1) / embed_dim ** 0.5) + self.qkv_proj = conv_nd(1, embed_dim, 3 * embed_dim, 1) + self.c_proj = conv_nd(1, embed_dim, output_dim or embed_dim, 1) + self.num_heads = embed_dim // num_heads_channels + self.attention = QKVAttention(self.num_heads) + + def forward(self, x): + b, c, *_spatial = x.shape + x = x.reshape(b, c, -1) # NC(HW) + x = th.cat([x.mean(dim=-1, keepdim=True), x], dim=-1) # NC(HW+1) + x = x + self.positional_embedding[None, :, :].to(x.dtype) # NC(HW+1) + x = self.qkv_proj(x) + x = self.attention(x) + x = self.c_proj(x) + return x[:, :, 0] + + +class TimestepBlock(nn.Module): + """ + Any module where forward() takes timestep embeddings as a second argument. + """ + + @abstractmethod + def forward(self, x, emb): + """ + Apply the module to `x` given `emb` timestep embeddings. + """ + + +class TimestepEmbedSequential(nn.Sequential, TimestepBlock): + """ + A sequential module that passes timestep embeddings to the children that + support it as an extra input. + """ + + def forward(self, x, emb, context=None): + for layer in self: + if isinstance(layer, TimestepBlock): + x = layer(x, emb) + elif isinstance(layer, SpatialTransformer): + x = layer(x, context) + else: + x = layer(x) + return x + + +class Upsample(nn.Module): + """ + An upsampling layer with an optional convolution. + :param channels: channels in the inputs and outputs. + :param use_conv: a bool determining if a convolution is applied. + :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then + upsampling occurs in the inner-two dimensions. + """ + + def __init__(self, channels, use_conv, dims=2, out_channels=None, padding=1): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.dims = dims + if use_conv: + self.conv = conv_nd(dims, self.channels, self.out_channels, 3, padding=padding) + + def forward(self, x): + assert x.shape[1] == self.channels + if self.dims == 3: + x = F.interpolate( + x, (x.shape[2], x.shape[3] * 2, x.shape[4] * 2), mode="nearest" + ) + else: + x = F.interpolate(x, scale_factor=2, mode="nearest") + if self.use_conv: + x = self.conv(x) + return x + +class TransposedUpsample(nn.Module): + 'Learned 2x upsampling without padding' + def __init__(self, channels, out_channels=None, ks=5): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + + self.up = nn.ConvTranspose2d(self.channels,self.out_channels,kernel_size=ks,stride=2) + + def forward(self,x): + return self.up(x) + + +class Downsample(nn.Module): + """ + A downsampling layer with an optional convolution. + :param channels: channels in the inputs and outputs. + :param use_conv: a bool determining if a convolution is applied. + :param dims: determines if the signal is 1D, 2D, or 3D. If 3D, then + downsampling occurs in the inner-two dimensions. + """ + + def __init__(self, channels, use_conv, dims=2, out_channels=None,padding=1): + super().__init__() + self.channels = channels + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.dims = dims + stride = 2 if dims != 3 else (1, 2, 2) + if use_conv: + self.op = conv_nd( + dims, self.channels, self.out_channels, 3, stride=stride, padding=padding + ) + else: + assert self.channels == self.out_channels + self.op = avg_pool_nd(dims, kernel_size=stride, stride=stride) + + def forward(self, x): + assert x.shape[1] == self.channels + return self.op(x) + + +class ResBlock(TimestepBlock): + """ + A residual block that can optionally change the number of channels. + :param channels: the number of input channels. + :param emb_channels: the number of timestep embedding channels. + :param dropout: the rate of dropout. + :param out_channels: if specified, the number of out channels. + :param use_conv: if True and out_channels is specified, use a spatial + convolution instead of a smaller 1x1 convolution to change the + channels in the skip connection. + :param dims: determines if the signal is 1D, 2D, or 3D. + :param use_checkpoint: if True, use gradient checkpointing on this module. + :param up: if True, use this block for upsampling. + :param down: if True, use this block for downsampling. + """ + + def __init__( + self, + channels, + emb_channels, + dropout, + out_channels=None, + use_conv=False, + use_scale_shift_norm=False, + dims=2, + use_checkpoint=False, + up=False, + down=False, + ): + super().__init__() + self.channels = channels + self.emb_channels = emb_channels + self.dropout = dropout + self.out_channels = out_channels or channels + self.use_conv = use_conv + self.use_checkpoint = use_checkpoint + self.use_scale_shift_norm = use_scale_shift_norm + + self.in_layers = nn.Sequential( + normalization(channels), + nn.SiLU(), + conv_nd(dims, channels, self.out_channels, 3, padding=1), + ) + + self.updown = up or down + + if up: + self.h_upd = Upsample(channels, False, dims) + self.x_upd = Upsample(channels, False, dims) + elif down: + self.h_upd = Downsample(channels, False, dims) + self.x_upd = Downsample(channels, False, dims) + else: + self.h_upd = self.x_upd = nn.Identity() + + self.emb_layers = nn.Sequential( + nn.SiLU(), + linear( + emb_channels, + 2 * self.out_channels if use_scale_shift_norm else self.out_channels, + ), + ) + self.out_layers = nn.Sequential( + normalization(self.out_channels), + nn.SiLU(), + nn.Dropout(p=dropout), + zero_module( + conv_nd(dims, self.out_channels, self.out_channels, 3, padding=1) + ), + ) + + if self.out_channels == channels: + self.skip_connection = nn.Identity() + elif use_conv: + self.skip_connection = conv_nd( + dims, channels, self.out_channels, 3, padding=1 + ) + else: + self.skip_connection = conv_nd(dims, channels, self.out_channels, 1) + + def forward(self, x, emb): + """ + Apply the block to a Tensor, conditioned on a timestep embedding. + :param x: an [N x C x ...] Tensor of features. + :param emb: an [N x emb_channels] Tensor of timestep embeddings. + :return: an [N x C x ...] Tensor of outputs. + """ + return checkpoint( + self._forward, (x, emb), self.parameters(), self.use_checkpoint + ) + + + def _forward(self, x, emb): + if self.updown: + in_rest, in_conv = self.in_layers[:-1], self.in_layers[-1] + h = in_rest(x) + h = self.h_upd(h) + x = self.x_upd(x) + h = in_conv(h) + else: + h = self.in_layers(x) + emb_out = self.emb_layers(emb).type(h.dtype) + while len(emb_out.shape) < len(h.shape): + emb_out = emb_out[..., None] + if self.use_scale_shift_norm: + out_norm, out_rest = self.out_layers[0], self.out_layers[1:] + scale, shift = th.chunk(emb_out, 2, dim=1) + h = out_norm(h) * (1 + scale) + shift + h = out_rest(h) + else: + h = h + emb_out + h = self.out_layers(h) + return self.skip_connection(x) + h + + +class AttentionBlock(nn.Module): + """ + An attention block that allows spatial positions to attend to each other. + Originally ported from here, but adapted to the N-d case. + https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/models/unet.py#L66. + """ + + def __init__( + self, + channels, + num_heads=1, + num_head_channels=-1, + use_checkpoint=False, + use_new_attention_order=False, + ): + super().__init__() + self.channels = channels + if num_head_channels == -1: + self.num_heads = num_heads + else: + assert ( + channels % num_head_channels == 0 + ), f"q,k,v channels {channels} is not divisible by num_head_channels {num_head_channels}" + self.num_heads = channels // num_head_channels + self.use_checkpoint = use_checkpoint + self.norm = normalization(channels) + self.qkv = conv_nd(1, channels, channels * 3, 1) + if use_new_attention_order: + # split qkv before split heads + self.attention = QKVAttention(self.num_heads) + else: + # split heads before split qkv + self.attention = QKVAttentionLegacy(self.num_heads) + + self.proj_out = zero_module(conv_nd(1, channels, channels, 1)) + + def forward(self, x): + return checkpoint(self._forward, (x,), self.parameters(), True) # TODO: check checkpoint usage, is True # TODO: fix the .half call!!! + #return pt_checkpoint(self._forward, x) # pytorch + + def _forward(self, x): + b, c, *spatial = x.shape + x = x.reshape(b, c, -1) + qkv = self.qkv(self.norm(x)) + h = self.attention(qkv) + h = self.proj_out(h) + return (x + h).reshape(b, c, *spatial) + + +def count_flops_attn(model, _x, y): + """ + A counter for the `thop` package to count the operations in an + attention operation. + Meant to be used like: + macs, params = thop.profile( + model, + inputs=(inputs, timestamps), + custom_ops={QKVAttention: QKVAttention.count_flops}, + ) + """ + b, c, *spatial = y[0].shape + num_spatial = int(np.prod(spatial)) + # We perform two matmuls with the same number of ops. + # The first computes the weight matrix, the second computes + # the combination of the value vectors. + matmul_ops = 2 * b * (num_spatial ** 2) * c + model.total_ops += th.DoubleTensor([matmul_ops]) + + +class QKVAttentionLegacy(nn.Module): + """ + A module which performs QKV attention. Matches legacy QKVAttention + input/ouput heads shaping + """ + + def __init__(self, n_heads): + super().__init__() + self.n_heads = n_heads + + def forward(self, qkv): + """ + Apply QKV attention. + :param qkv: an [N x (H * 3 * C) x T] tensor of Qs, Ks, and Vs. + :return: an [N x (H * C) x T] tensor after attention. + """ + bs, width, length = qkv.shape + assert width % (3 * self.n_heads) == 0 + ch = width // (3 * self.n_heads) + q, k, v = qkv.reshape(bs * self.n_heads, ch * 3, length).split(ch, dim=1) + scale = 1 / math.sqrt(math.sqrt(ch)) + weight = th.einsum( + "bct,bcs->bts", q * scale, k * scale + ) # More stable with f16 than dividing afterwards + weight = th.softmax(weight.float(), dim=-1).type(weight.dtype) + a = th.einsum("bts,bcs->bct", weight, v) + return a.reshape(bs, -1, length) + + @staticmethod + def count_flops(model, _x, y): + return count_flops_attn(model, _x, y) + + +class QKVAttention(nn.Module): + """ + A module which performs QKV attention and splits in a different order. + """ + + def __init__(self, n_heads): + super().__init__() + self.n_heads = n_heads + + def forward(self, qkv): + """ + Apply QKV attention. + :param qkv: an [N x (3 * H * C) x T] tensor of Qs, Ks, and Vs. + :return: an [N x (H * C) x T] tensor after attention. + """ + bs, width, length = qkv.shape + assert width % (3 * self.n_heads) == 0 + ch = width // (3 * self.n_heads) + q, k, v = qkv.chunk(3, dim=1) + scale = 1 / math.sqrt(math.sqrt(ch)) + weight = th.einsum( + "bct,bcs->bts", + (q * scale).view(bs * self.n_heads, ch, length), + (k * scale).view(bs * self.n_heads, ch, length), + ) # More stable with f16 than dividing afterwards + weight = th.softmax(weight.float(), dim=-1).type(weight.dtype) + a = th.einsum("bts,bcs->bct", weight, v.reshape(bs * self.n_heads, ch, length)) + return a.reshape(bs, -1, length) + + @staticmethod + def count_flops(model, _x, y): + return count_flops_attn(model, _x, y) + + +class UNetModelEncode(nn.Module): + + + def __init__( + self, + image_size, + in_channels, + model_channels, + out_channels, + num_res_blocks, + attention_resolutions, + dropout=0, + channel_mult=(1, 2, 4, 8), + conv_resample=True, + dims=2, + num_classes=None, + use_checkpoint=False, + use_fp16=False, + num_heads=-1, + num_head_channels=-1, + num_heads_upsample=-1, + use_scale_shift_norm=False, + resblock_updown=False, + use_new_attention_order=False, + use_spatial_transformer=False, # custom transformer support + transformer_depth=1, # custom transformer support + context_dim=None, # custom transformer support + n_embed=None, # custom support for prediction of discrete ids into codebook of first stage vq model + legacy=True, + ): + super().__init__() + if use_spatial_transformer: + assert context_dim is not None, 'Fool!! You forgot to include the dimension of your cross-attention conditioning...' + + if context_dim is not None: + assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...' + from omegaconf.listconfig import ListConfig + if type(context_dim) == ListConfig: + context_dim = list(context_dim) + + if num_heads_upsample == -1: + num_heads_upsample = num_heads + + if num_heads == -1: + assert num_head_channels != -1, 'Either num_heads or num_head_channels has to be set' + + if num_head_channels == -1: + assert num_heads != -1, 'Either num_heads or num_head_channels has to be set' + + self.image_size = image_size + self.in_channels = in_channels + self.model_channels = model_channels + self.out_channels = out_channels + self.num_res_blocks = num_res_blocks + self.attention_resolutions = attention_resolutions + self.dropout = dropout + self.channel_mult = channel_mult + self.conv_resample = conv_resample + self.num_classes = num_classes + self.use_checkpoint = use_checkpoint + self.dtype = th.float16 if use_fp16 else th.float32 + self.num_heads = num_heads + self.num_head_channels = num_head_channels + self.num_heads_upsample = num_heads_upsample + self.predict_codebook_ids = n_embed is not None + + time_embed_dim = model_channels * 4 + self.time_embed = nn.Sequential( + linear(model_channels, time_embed_dim), + nn.SiLU(), + linear(time_embed_dim, time_embed_dim), + ) + + if self.num_classes is not None: + self.label_emb = nn.Embedding(num_classes, time_embed_dim) + + self.input_blocks = nn.ModuleList( + [ + TimestepEmbedSequential( + conv_nd(dims, in_channels, model_channels, 3, padding=1) + ) + ] + ) + self._feature_size = model_channels + input_block_chans = [model_channels] + ch = model_channels + ds = 1 + for level, mult in enumerate(channel_mult): + for _ in range(num_res_blocks): + layers = [ + ResBlock( + ch, + time_embed_dim, + dropout, + out_channels=mult * model_channels, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + ) + ] + ch = mult * model_channels + if ds in attention_resolutions: + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + layers.append( + AttentionBlock( + ch, + use_checkpoint=use_checkpoint, + num_heads=num_heads, + num_head_channels=dim_head, + use_new_attention_order=use_new_attention_order, + ) if not use_spatial_transformer else SpatialTransformer( + ch, num_heads, dim_head, depth=transformer_depth, context_dim=context_dim + ) + ) + self.input_blocks.append(TimestepEmbedSequential(*layers)) + self._feature_size += ch + input_block_chans.append(ch) + if level != len(channel_mult) - 1: + out_ch = ch + self.input_blocks.append( + TimestepEmbedSequential( + ResBlock( + ch, + time_embed_dim, + dropout, + out_channels=out_ch, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + down=True, + ) + if resblock_updown + else Downsample( + ch, conv_resample, dims=dims, out_channels=out_ch + ) + ) + ) + ch = out_ch + input_block_chans.append(ch) + ds *= 2 + self._feature_size += ch + + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + self.middle_block = TimestepEmbedSequential( + ResBlock( + ch, + time_embed_dim, + dropout, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + ), + AttentionBlock( + ch, + use_checkpoint=use_checkpoint, + num_heads=num_heads, + num_head_channels=dim_head, + use_new_attention_order=use_new_attention_order, + ) if not use_spatial_transformer else SpatialTransformer( + ch, num_heads, dim_head, depth=transformer_depth, context_dim=context_dim + ), + ResBlock( + ch, + time_embed_dim, + dropout, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + ), + ) + self._feature_size += ch + + def forward(self, x, timesteps=None, context=None, y=None): + """ + Apply the model to an input batch. + :param x: an [N x C x ...] Tensor of inputs. + :param timesteps: a 1-D batch of timesteps. + :param context: conditioning plugged in via crossattn + :param y: an [N] Tensor of labels, if class-conditional. + :return: an [N x C x ...] Tensor of outputs. + """ + assert (y is not None) == ( + self.num_classes is not None + ), "must specify y if and only if the model is class-conditional" + hs = [] + t_emb = timestep_embedding(timesteps, self.model_channels, repeat_only=False) + emb = self.time_embed(t_emb) + + if self.num_classes is not None: + assert y.shape == (x.shape[0],) + emb = emb + self.label_emb(y) + + h = x.type(self.dtype) + for module in self.input_blocks: + h = module(h, emb, context) + hs.append(h) + h = self.middle_block(h, emb, context) + + return h, emb, hs + + +class UNetModelDecode(nn.Module): + + + def __init__( + self, + image_size, + in_channels, + model_channels, + out_channels, + num_res_blocks, + attention_resolutions, + dropout=0, + channel_mult=(1, 2, 4, 8), + conv_resample=True, + dims=2, + num_classes=None, + use_checkpoint=False, + use_fp16=False, + num_heads=-1, + num_head_channels=-1, + num_heads_upsample=-1, + use_scale_shift_norm=False, + resblock_updown=False, + use_new_attention_order=False, + use_spatial_transformer=False, # custom transformer support + transformer_depth=1, # custom transformer support + context_dim=None, # custom transformer support + n_embed=None, # custom support for prediction of discrete ids into codebook of first stage vq model + legacy=True, + ): + super().__init__() + if use_spatial_transformer: + assert context_dim is not None, 'Fool!! You forgot to include the dimension of your cross-attention conditioning...' + + if context_dim is not None: + assert use_spatial_transformer, 'Fool!! You forgot to use the spatial transformer for your cross-attention conditioning...' + from omegaconf.listconfig import ListConfig + if type(context_dim) == ListConfig: + context_dim = list(context_dim) + + if num_heads_upsample == -1: + num_heads_upsample = num_heads + + if num_heads == -1: + assert num_head_channels != -1, 'Either num_heads or num_head_channels has to be set' + + if num_head_channels == -1: + assert num_heads != -1, 'Either num_heads or num_head_channels has to be set' + + self.image_size = image_size + self.in_channels = in_channels + self.model_channels = model_channels + self.out_channels = out_channels + self.num_res_blocks = num_res_blocks + self.attention_resolutions = attention_resolutions + self.dropout = dropout + self.channel_mult = channel_mult + self.conv_resample = conv_resample + self.num_classes = num_classes + self.use_checkpoint = use_checkpoint + self.dtype = th.float16 if use_fp16 else th.float32 + self.num_heads = num_heads + self.num_head_channels = num_head_channels + self.num_heads_upsample = num_heads_upsample + self.predict_codebook_ids = n_embed is not None + + time_embed_dim = model_channels * 4 + + self._feature_size = model_channels + input_block_chans = [model_channels] + ch = model_channels + ds = 1 + for level, mult in enumerate(channel_mult): + for _ in range(num_res_blocks): + + ch = mult * model_channels + if ds in attention_resolutions: + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + + self._feature_size += ch + input_block_chans.append(ch) + if level != len(channel_mult) - 1: + out_ch = ch + + ch = out_ch + input_block_chans.append(ch) + ds *= 2 + self._feature_size += ch + + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + + self._feature_size += ch + + self.output_blocks = nn.ModuleList([]) + for level, mult in list(enumerate(channel_mult))[::-1]: + for i in range(num_res_blocks + 1): + ich = input_block_chans.pop() + layers = [ + ResBlock( + ch + ich, + time_embed_dim, + dropout, + out_channels=model_channels * mult, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + ) + ] + ch = model_channels * mult + if ds in attention_resolutions: + if num_head_channels == -1: + dim_head = ch // num_heads + else: + num_heads = ch // num_head_channels + dim_head = num_head_channels + if legacy: + #num_heads = 1 + dim_head = ch // num_heads if use_spatial_transformer else num_head_channels + layers.append( + AttentionBlock( + ch, + use_checkpoint=use_checkpoint, + num_heads=num_heads_upsample, + num_head_channels=dim_head, + use_new_attention_order=use_new_attention_order, + ) if not use_spatial_transformer else SpatialTransformer( + ch, num_heads, dim_head, depth=transformer_depth, context_dim=context_dim + ) + ) + if level and i == num_res_blocks: + out_ch = ch + layers.append( + ResBlock( + ch, + time_embed_dim, + dropout, + out_channels=out_ch, + dims=dims, + use_checkpoint=use_checkpoint, + use_scale_shift_norm=use_scale_shift_norm, + up=True, + ) + if resblock_updown + else Upsample(ch, conv_resample, dims=dims, out_channels=out_ch) + ) + ds //= 2 + self.output_blocks.append(TimestepEmbedSequential(*layers)) + self._feature_size += ch + + self.out = nn.Sequential( + normalization(ch), + nn.SiLU(), + zero_module(conv_nd(dims, model_channels, out_channels, 3, padding=1)), + ) + if self.predict_codebook_ids: + self.id_predictor = nn.Sequential( + normalization(ch), + conv_nd(dims, model_channels, n_embed, 1), + #nn.LogSoftmax(dim=1) # change to cross_entropy and produce non-normalized logits + ) + + def forward(self, h,emb,tp,hs, context=None, y=None): + """ + Apply the model to an input batch. + :param x: an [N x C x ...] Tensor of inputs. + :param timesteps: a 1-D batch of timesteps. + :param context: conditioning plugged in via crossattn + :param y: an [N] Tensor of labels, if class-conditional. + :return: an [N x C x ...] Tensor of outputs. + """ + + for module in self.output_blocks: + h = th.cat([h, hs.pop()], dim=1) + h = module(h, emb, context) + h = h.type(tp) + if self.predict_codebook_ids: + return self.id_predictor(h) + else: + return self.out(h) \ No newline at end of file diff --git a/optimizedSD/optimUtils.py b/optimizedSD/optimUtils.py new file mode 100644 index 00000000..18b99679 --- /dev/null +++ b/optimizedSD/optimUtils.py @@ -0,0 +1,73 @@ +import os +import pandas as pd + + +def split_weighted_subprompts(text): + """ + grabs all text up to the first occurrence of ':' + uses the grabbed text as a sub-prompt, and takes the value following ':' as weight + if ':' has no value defined, defaults to 1.0 + repeats until no text remaining + """ + remaining = len(text) + prompts = [] + weights = [] + while remaining > 0: + if ":" in text: + idx = text.index(":") # first occurrence from start + # grab up to index as sub-prompt + prompt = text[:idx] + remaining -= idx + # remove from main text + text = text[idx+1:] + # find value for weight + if " " in text: + idx = text.index(" ") # first occurence + else: # no space, read to end + idx = len(text) + if idx != 0: + try: + weight = float(text[:idx]) + except: # couldn't treat as float + print(f"Warning: '{text[:idx]}' is not a value, are you missing a space?") + weight = 1.0 + else: # no value found + weight = 1.0 + # remove from main text + remaining -= idx + text = text[idx+1:] + # append the sub-prompt and its weight + prompts.append(prompt) + weights.append(weight) + else: # no : found + if len(text) > 0: # there is still text though + # take remainder as weight 1 + prompts.append(text) + weights.append(1.0) + remaining = 0 + return prompts, weights + +def logger(params, log_csv): + os.makedirs('logs', exist_ok=True) + cols = [arg for arg, _ in params.items()] + if not os.path.exists(log_csv): + df = pd.DataFrame(columns=cols) + df.to_csv(log_csv, index=False) + + df = pd.read_csv(log_csv) + for arg in cols: + if arg not in df.columns: + df[arg] = "" + df.to_csv(log_csv, index = False) + + li = {} + cols = [col for col in df.columns] + data = {arg:value for arg, value in params.items()} + for col in cols: + if col in data: + li[col] = data[col] + else: + li[col] = '' + + df = pd.DataFrame(li,index = [0]) + df.to_csv(log_csv,index=False, mode='a', header=False) \ No newline at end of file diff --git a/optimizedSD/samplers.py b/optimizedSD/samplers.py new file mode 100644 index 00000000..6a68e8e1 --- /dev/null +++ b/optimizedSD/samplers.py @@ -0,0 +1,252 @@ +from scipy import integrate +import torch +from tqdm.auto import trange, tqdm +import torch.nn as nn + + +def append_zero(x): + return torch.cat([x, x.new_zeros([1])]) + + +def append_dims(x, target_dims): + """Appends dimensions to the end of a tensor until it has target_dims dimensions.""" + dims_to_append = target_dims - x.ndim + if dims_to_append < 0: + raise ValueError(f'input has {x.ndim} dims but target_dims is {target_dims}, which is less') + return x[(...,) + (None,) * dims_to_append] + +def get_ancestral_step(sigma_from, sigma_to): + """Calculates the noise level (sigma_down) to step down to and the amount + of noise to add (sigma_up) when doing an ancestral sampling step.""" + sigma_up = (sigma_to ** 2 * (sigma_from ** 2 - sigma_to ** 2) / sigma_from ** 2) ** 0.5 + sigma_down = (sigma_to ** 2 - sigma_up ** 2) ** 0.5 + return sigma_down, sigma_up + + +class DiscreteSchedule(nn.Module): + """A mapping between continuous noise levels (sigmas) and a list of discrete noise + levels.""" + + def __init__(self, sigmas, quantize): + super().__init__() + self.register_buffer('sigmas', sigmas) + self.quantize = quantize + + def get_sigmas(self, n=None): + if n is None: + return append_zero(self.sigmas.flip(0)) + t_max = len(self.sigmas) - 1 + t = torch.linspace(t_max, 0, n, device=self.sigmas.device) + return append_zero(self.t_to_sigma(t)) + + def sigma_to_t(self, sigma, quantize=None): + quantize = self.quantize if quantize is None else quantize + dists = torch.abs(sigma - self.sigmas[:, None]) + if quantize: + return torch.argmin(dists, dim=0).view(sigma.shape) + low_idx, high_idx = torch.sort(torch.topk(dists, dim=0, k=2, largest=False).indices, dim=0)[0] + low, high = self.sigmas[low_idx], self.sigmas[high_idx] + w = (low - sigma) / (low - high) + w = w.clamp(0, 1) + t = (1 - w) * low_idx + w * high_idx + return t.view(sigma.shape) + + def t_to_sigma(self, t): + t = t.float() + low_idx, high_idx, w = t.floor().long(), t.ceil().long(), t.frac() + # print(low_idx, high_idx, w ) + return (1 - w) * self.sigmas[low_idx] + w * self.sigmas[high_idx] + + +class DiscreteEpsDDPMDenoiser(DiscreteSchedule): + """A wrapper for discrete schedule DDPM models that output eps (the predicted + noise).""" + + def __init__(self, alphas_cumprod, quantize): + super().__init__(((1 - alphas_cumprod) / alphas_cumprod) ** 0.5, quantize) + self.sigma_data = 1. + + def get_scalings(self, sigma): + c_out = -sigma + c_in = 1 / (sigma ** 2 + self.sigma_data ** 2) ** 0.5 + return c_out, c_in + + def get_eps(self, *args, **kwargs): + return self.inner_model(*args, **kwargs) + + def forward(self, input, sigma, **kwargs): + c_out, c_in = [append_dims(x, input.ndim) for x in self.get_scalings(sigma)] + eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs) + return input + eps * c_out + +class CompVisDenoiser(DiscreteEpsDDPMDenoiser): + """A wrapper for CompVis diffusion models.""" + + def __init__(self, alphas_cumprod, quantize=False, device='cpu'): + super().__init__(alphas_cumprod, quantize=quantize) + + def get_eps(self, *args, **kwargs): + return self.inner_model.apply_model(*args, **kwargs) + + +def to_d(x, sigma, denoised): + """Converts a denoiser output to a Karras ODE derivative.""" + return (x - denoised) / append_dims(sigma, x.ndim) + + +def get_ancestral_step(sigma_from, sigma_to): + """Calculates the noise level (sigma_down) to step down to and the amount + of noise to add (sigma_up) when doing an ancestral sampling step.""" + sigma_up = (sigma_to ** 2 * (sigma_from ** 2 - sigma_to ** 2) / sigma_from ** 2) ** 0.5 + sigma_down = (sigma_to ** 2 - sigma_up ** 2) ** 0.5 + return sigma_down, sigma_up + + +@torch.no_grad() +def sample_euler(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + """Implements Algorithm 2 (Euler steps) from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = sigmas[i] * (gamma + 1) + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + dt = sigmas[i + 1] - sigma_hat + # Euler method + x = x + d * dt + return x + + + +@torch.no_grad() +def sample_euler_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None): + """Ancestral sampling with Euler method steps.""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1]) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + d = to_d(x, sigmas[i], denoised) + # Euler method + dt = sigma_down - sigmas[i] + x = x + d * dt + x = x + torch.randn_like(x) * sigma_up + return x + + +@torch.no_grad() +def sample_heun(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + """Implements Algorithm 2 (Heun steps) from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = sigmas[i] * (gamma + 1) + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + dt = sigmas[i + 1] - sigma_hat + if sigmas[i + 1] == 0: + # Euler method + x = x + d * dt + else: + # Heun's method + x_2 = x + d * dt + denoised_2 = model(x_2, sigmas[i + 1] * s_in, **extra_args) + d_2 = to_d(x_2, sigmas[i + 1], denoised_2) + d_prime = (d + d_2) / 2 + x = x + d_prime * dt + return x + + +@torch.no_grad() +def sample_dpm_2(model, x, sigmas, extra_args=None, callback=None, disable=None, s_churn=0., s_tmin=0., s_tmax=float('inf'), s_noise=1.): + """A sampler inspired by DPM-Solver-2 and Algorithm 2 from Karras et al. (2022).""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + gamma = min(s_churn / (len(sigmas) - 1), 2 ** 0.5 - 1) if s_tmin <= sigmas[i] <= s_tmax else 0. + eps = torch.randn_like(x) * s_noise + sigma_hat = sigmas[i] * (gamma + 1) + if gamma > 0: + x = x + eps * (sigma_hat ** 2 - sigmas[i] ** 2) ** 0.5 + denoised = model(x, sigma_hat * s_in, **extra_args) + d = to_d(x, sigma_hat, denoised) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigma_hat, 'denoised': denoised}) + # Midpoint method, where the midpoint is chosen according to a rho=3 Karras schedule + sigma_mid = ((sigma_hat ** (1 / 3) + sigmas[i + 1] ** (1 / 3)) / 2) ** 3 + dt_1 = sigma_mid - sigma_hat + dt_2 = sigmas[i + 1] - sigma_hat + x_2 = x + d * dt_1 + denoised_2 = model(x_2, sigma_mid * s_in, **extra_args) + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + return x + + +@torch.no_grad() +def sample_dpm_2_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None): + """Ancestral sampling with DPM-Solver inspired second-order steps.""" + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + sigma_down, sigma_up = get_ancestral_step(sigmas[i], sigmas[i + 1]) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + d = to_d(x, sigmas[i], denoised) + # Midpoint method, where the midpoint is chosen according to a rho=3 Karras schedule + sigma_mid = ((sigmas[i] ** (1 / 3) + sigma_down ** (1 / 3)) / 2) ** 3 + dt_1 = sigma_mid - sigmas[i] + dt_2 = sigma_down - sigmas[i] + x_2 = x + d * dt_1 + denoised_2 = model(x_2, sigma_mid * s_in, **extra_args) + d_2 = to_d(x_2, sigma_mid, denoised_2) + x = x + d_2 * dt_2 + x = x + torch.randn_like(x) * sigma_up + return x + + +def linear_multistep_coeff(order, t, i, j): + if order - 1 > i: + raise ValueError(f'Order {order} too high for step {i}') + def fn(tau): + prod = 1. + for k in range(order): + if j == k: + continue + prod *= (tau - t[i - k]) / (t[i - j] - t[i - k]) + return prod + return integrate.quad(fn, t[i], t[i + 1], epsrel=1e-4)[0] + + +@torch.no_grad() +def sample_lms(model, x, sigmas, extra_args=None, callback=None, disable=None, order=4): + extra_args = {} if extra_args is None else extra_args + s_in = x.new_ones([x.shape[0]]) + ds = [] + for i in trange(len(sigmas) - 1, disable=disable): + denoised = model(x, sigmas[i] * s_in, **extra_args) + d = to_d(x, sigmas[i], denoised) + ds.append(d) + if len(ds) > order: + ds.pop(0) + if callback is not None: + callback({'x': x, 'i': i, 'sigma': sigmas[i], 'sigma_hat': sigmas[i], 'denoised': denoised}) + cur_order = min(i + 1, order) + coeffs = [linear_multistep_coeff(cur_order, sigmas.cpu(), i, j) for j in range(cur_order)] + x = x + sum(coeff * d for coeff, d in zip(coeffs, reversed(ds))) + return x diff --git a/optimizedSD/splitAttention.py b/optimizedSD/splitAttention.py new file mode 100644 index 00000000..dbfd459e --- /dev/null +++ b/optimizedSD/splitAttention.py @@ -0,0 +1,280 @@ +from inspect import isfunction +import math +import torch +import torch.nn.functional as F +from torch import nn, einsum +from einops import rearrange, repeat + +from ldm.modules.diffusionmodules.util import checkpoint + + +def exists(val): + return val is not None + + +def uniq(arr): + return{el: True for el in arr}.keys() + + +def default(val, d): + if exists(val): + return val + return d() if isfunction(d) else d + + +def max_neg_value(t): + return -torch.finfo(t.dtype).max + + +def init_(tensor): + dim = tensor.shape[-1] + std = 1 / math.sqrt(dim) + tensor.uniform_(-std, std) + return tensor + + +# feedforward +class GEGLU(nn.Module): + def __init__(self, dim_in, dim_out): + super().__init__() + self.proj = nn.Linear(dim_in, dim_out * 2) + + def forward(self, x): + x, gate = self.proj(x).chunk(2, dim=-1) + return x * F.gelu(gate) + + +class FeedForward(nn.Module): + def __init__(self, dim, dim_out=None, mult=4, glu=False, dropout=0.): + super().__init__() + inner_dim = int(dim * mult) + dim_out = default(dim_out, dim) + project_in = nn.Sequential( + nn.Linear(dim, inner_dim), + nn.GELU() + ) if not glu else GEGLU(dim, inner_dim) + + self.net = nn.Sequential( + project_in, + nn.Dropout(dropout), + nn.Linear(inner_dim, dim_out) + ) + + def forward(self, x): + return self.net(x) + + +def zero_module(module): + """ + Zero out the parameters of a module and return it. + """ + for p in module.parameters(): + p.detach().zero_() + return module + + +def Normalize(in_channels): + return torch.nn.GroupNorm(num_groups=32, num_channels=in_channels, eps=1e-6, affine=True) + + +class LinearAttention(nn.Module): + def __init__(self, dim, heads=4, dim_head=32): + super().__init__() + self.heads = heads + hidden_dim = dim_head * heads + self.to_qkv = nn.Conv2d(dim, hidden_dim * 3, 1, bias = False) + self.to_out = nn.Conv2d(hidden_dim, dim, 1) + + def forward(self, x): + b, c, h, w = x.shape + qkv = self.to_qkv(x) + q, k, v = rearrange(qkv, 'b (qkv heads c) h w -> qkv b heads c (h w)', heads = self.heads, qkv=3) + k = k.softmax(dim=-1) + context = torch.einsum('bhdn,bhen->bhde', k, v) + out = torch.einsum('bhde,bhdn->bhen', context, q) + out = rearrange(out, 'b heads c (h w) -> b (heads c) h w', heads=self.heads, h=h, w=w) + return self.to_out(out) + + +class SpatialSelfAttention(nn.Module): + def __init__(self, in_channels): + super().__init__() + self.in_channels = in_channels + + self.norm = Normalize(in_channels) + self.q = torch.nn.Conv2d(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + self.k = torch.nn.Conv2d(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + self.v = torch.nn.Conv2d(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + self.proj_out = torch.nn.Conv2d(in_channels, + in_channels, + kernel_size=1, + stride=1, + padding=0) + + def forward(self, x): + h_ = x + h_ = self.norm(h_) + q = self.q(h_) + k = self.k(h_) + v = self.v(h_) + + # compute attention + b,c,h,w = q.shape + q = rearrange(q, 'b c h w -> b (h w) c') + k = rearrange(k, 'b c h w -> b c (h w)') + w_ = torch.einsum('bij,bjk->bik', q, k) + + w_ = w_ * (int(c)**(-0.5)) + w_ = torch.nn.functional.softmax(w_, dim=2) + + # attend to values + v = rearrange(v, 'b c h w -> b c (h w)') + w_ = rearrange(w_, 'b i j -> b j i') + h_ = torch.einsum('bij,bjk->bik', v, w_) + h_ = rearrange(h_, 'b c (h w) -> b c h w', h=h) + h_ = self.proj_out(h_) + + return x+h_ + + +class CrossAttention(nn.Module): + def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0., att_step=1): + super().__init__() + inner_dim = dim_head * heads + context_dim = default(context_dim, query_dim) + + self.scale = dim_head ** -0.5 + self.heads = heads + self.att_step = att_step + + self.to_q = nn.Linear(query_dim, inner_dim, bias=False) + self.to_k = nn.Linear(context_dim, inner_dim, bias=False) + self.to_v = nn.Linear(context_dim, inner_dim, bias=False) + + self.to_out = nn.Sequential( + nn.Linear(inner_dim, query_dim), + nn.Dropout(dropout) + ) + + def forward(self, x, context=None, mask=None): + h = self.heads + + q = self.to_q(x) + context = default(context, x) + k = self.to_k(context) + v = self.to_v(context) + del context, x + + q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q, k, v)) + + + limit = k.shape[0] + att_step = self.att_step + q_chunks = list(torch.tensor_split(q, limit//att_step, dim=0)) + k_chunks = list(torch.tensor_split(k, limit//att_step, dim=0)) + v_chunks = list(torch.tensor_split(v, limit//att_step, dim=0)) + + q_chunks.reverse() + k_chunks.reverse() + v_chunks.reverse() + sim = torch.zeros(q.shape[0], q.shape[1], v.shape[2], device=q.device) + del k, q, v + for i in range (0, limit, att_step): + + q_buffer = q_chunks.pop() + k_buffer = k_chunks.pop() + v_buffer = v_chunks.pop() + sim_buffer = einsum('b i d, b j d -> b i j', q_buffer, k_buffer) * self.scale + + del k_buffer, q_buffer + # attention, what we cannot get enough of, by chunks + + sim_buffer = sim_buffer.softmax(dim=-1) + + sim_buffer = einsum('b i j, b j d -> b i d', sim_buffer, v_buffer) + del v_buffer + sim[i:i+att_step,:,:] = sim_buffer + + del sim_buffer + sim = rearrange(sim, '(b h) n d -> b n (h d)', h=h) + return self.to_out(sim) + + +class BasicTransformerBlock(nn.Module): + def __init__(self, dim, n_heads, d_head, dropout=0., context_dim=None, gated_ff=True, checkpoint=True): + super().__init__() + self.attn1 = CrossAttention(query_dim=dim, heads=n_heads, dim_head=d_head, dropout=dropout) # is a self-attention + self.ff = FeedForward(dim, dropout=dropout, glu=gated_ff) + self.attn2 = CrossAttention(query_dim=dim, context_dim=context_dim, + heads=n_heads, dim_head=d_head, dropout=dropout) # is self-attn if context is none + self.norm1 = nn.LayerNorm(dim) + self.norm2 = nn.LayerNorm(dim) + self.norm3 = nn.LayerNorm(dim) + self.checkpoint = checkpoint + + def forward(self, x, context=None): + return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint) + + def _forward(self, x, context=None): + x = self.attn1(self.norm1(x)) + x + x = self.attn2(self.norm2(x), context=context) + x + x = self.ff(self.norm3(x)) + x + return x + + +class SpatialTransformer(nn.Module): + """ + Transformer block for image-like data. + First, project the input (aka embedding) + and reshape to b, t, d. + Then apply standard transformer action. + Finally, reshape to image + """ + def __init__(self, in_channels, n_heads, d_head, + depth=1, dropout=0., context_dim=None): + super().__init__() + self.in_channels = in_channels + inner_dim = n_heads * d_head + self.norm = Normalize(in_channels) + + self.proj_in = nn.Conv2d(in_channels, + inner_dim, + kernel_size=1, + stride=1, + padding=0) + + self.transformer_blocks = nn.ModuleList( + [BasicTransformerBlock(inner_dim, n_heads, d_head, dropout=dropout, context_dim=context_dim) + for d in range(depth)] + ) + + self.proj_out = zero_module(nn.Conv2d(inner_dim, + in_channels, + kernel_size=1, + stride=1, + padding=0)) + + def forward(self, x, context=None): + # note: if no context is given, cross-attention defaults to self-attention + b, c, h, w = x.shape + x_in = x + x = self.norm(x) + x = self.proj_in(x) + x = rearrange(x, 'b c h w -> b (h w) c') + for block in self.transformer_blocks: + x = block(x, context=context) + x = rearrange(x, 'b (h w) c -> b c h w', h=h, w=w) + x = self.proj_out(x) + return x + x_in diff --git a/optimizedSD/v1-inference.yaml b/optimizedSD/v1-inference.yaml new file mode 100644 index 00000000..2e535fcb --- /dev/null +++ b/optimizedSD/v1-inference.yaml @@ -0,0 +1,114 @@ +modelUNet: + base_learning_rate: 1.0e-04 + target: optimizedSD.ddpm.UNet + params: + linear_start: 0.00085 + linear_end: 0.0120 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + first_stage_key: "jpg" + cond_stage_key: "txt" + image_size: 64 + channels: 4 + cond_stage_trainable: false # Note: different from the one we trained before + conditioning_key: crossattn + monitor: val/loss_simple_ema + scale_factor: 0.18215 + use_ema: False + + unetConfigEncode: + target: optimizedSD.openaimodelSplit.UNetModelEncode + params: + image_size: 32 # unused + in_channels: 4 + out_channels: 4 + model_channels: 320 + attention_resolutions: [4, 2, 1] + num_res_blocks: 2 + channel_mult: [1, 2, 4, 4] + num_heads: 8 + use_spatial_transformer: True + transformer_depth: 1 + context_dim: 768 + use_checkpoint: True + legacy: False + + unetConfigDecode: + target: optimizedSD.openaimodelSplit.UNetModelDecode + params: + image_size: 32 # unused + in_channels: 4 + out_channels: 4 + model_channels: 320 + attention_resolutions: [4, 2, 1] + num_res_blocks: 2 + channel_mult: [1, 2, 4, 4] + num_heads: 8 + use_spatial_transformer: True + transformer_depth: 1 + context_dim: 768 + use_checkpoint: True + legacy: False + +modelFirstStage: + target: optimizedSD.ddpm.FirstStage + params: + linear_start: 0.00085 + linear_end: 0.0120 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + first_stage_key: "jpg" + cond_stage_key: "txt" + image_size: 64 + channels: 4 + cond_stage_trainable: false # Note: different from the one we trained before + conditioning_key: crossattn + monitor: val/loss_simple_ema + scale_factor: 0.18215 + use_ema: False + first_stage_config: + target: ldm.models.autoencoder.AutoencoderKL + params: + embed_dim: 4 + monitor: val/rec_loss + ddconfig: + double_z: true + z_channels: 4 + resolution: 256 + in_channels: 3 + out_ch: 3 + ch: 128 + ch_mult: + - 1 + - 2 + - 4 + - 4 + num_res_blocks: 2 + attn_resolutions: [] + dropout: 0.0 + lossconfig: + target: torch.nn.Identity + +modelCondStage: + target: optimizedSD.ddpm.CondStage + params: + linear_start: 0.00085 + linear_end: 0.0120 + num_timesteps_cond: 1 + log_every_t: 200 + timesteps: 1000 + first_stage_key: "jpg" + cond_stage_key: "txt" + image_size: 64 + channels: 4 + cond_stage_trainable: false # Note: different from the one we trained before + conditioning_key: crossattn + monitor: val/loss_simple_ema + scale_factor: 0.18215 + use_ema: False + cond_stage_config: + target: ldm.modules.encoders.modules.FrozenCLIPEmbedder + params: + device: cpu diff --git a/patch_p2p.patch b/patch_p2p.patch new file mode 100644 index 00000000..fd6ef4cb --- /dev/null +++ b/patch_p2p.patch @@ -0,0 +1,49 @@ +From 269833067de1e7d0b6a6bd65724743d6b88a133f Mon Sep 17 00:00:00 2001 +From: Kyle +Date: Thu, 2 Feb 2023 09:37:01 -0500 +Subject: [PATCH] instruct-pix2pix support + +--- + modules/processing.py | 2 +- + modules/sd_samplers_kdiffusion.py | 8 ++++---- + 2 files changed, 5 insertions(+), 5 deletions(-) + +diff --git a/modules/processing.py b/modules/processing.py +index e544c2e16..f299e04da 100644 +--- a/modules/processing.py ++++ b/modules/processing.py +@@ -186,7 +186,7 @@ def depth2img_image_conditioning(self, source_image): + return conditioning + + def edit_image_conditioning(self, source_image): +- conditioning_image = self.sd_model.get_first_stage_encoding(self.sd_model.encode_first_stage(source_image)) ++ conditioning_image = self.sd_model.encode_first_stage(source_image).mode() + + return conditioning_image + +diff --git a/modules/sd_samplers_kdiffusion.py b/modules/sd_samplers_kdiffusion.py +index aa7f106b3..31ee22d3f 100644 +--- a/modules/sd_samplers_kdiffusion.py ++++ b/modules/sd_samplers_kdiffusion.py +@@ -77,9 +77,9 @@ def forward(self, x, sigma, uncond, cond, cond_scale, image_cond): + batch_size = len(conds_list) + repeats = [len(conds_list[i]) for i in range(batch_size)] + +- x_in = torch.cat([torch.stack([x[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [x]) +- image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_cond]) +- sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma]) ++ x_in = torch.cat([torch.stack([x[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [x] + [x]) ++ sigma_in = torch.cat([torch.stack([sigma[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [sigma] + [sigma]) ++ image_cond_in = torch.cat([torch.stack([image_cond[i] for _ in range(n)]) for i, n in enumerate(repeats)] + [image_cond] + [image_cond]) + + denoiser_params = CFGDenoiserParams(x_in, image_cond_in, sigma_in, state.sampling_step, state.sampling_steps) + cfg_denoiser_callback(denoiser_params) +@@ -88,7 +88,7 @@ def forward(self, x, sigma, uncond, cond, cond_scale, image_cond): + sigma_in = denoiser_params.sigma + + if tensor.shape[1] == uncond.shape[1]: +- cond_in = torch.cat([tensor, uncond]) ++ cond_in = torch.cat([tensor, uncond, uncond]) + + if shared.batch_cond_uncond: + x_out = self.inner_model(x_in, sigma_in, cond={"c_crossattn": [cond_in], "c_concat": [image_cond_in]}) \ No newline at end of file diff --git a/scripts/external_masking.py b/scripts/external_masking.py new file mode 100644 index 00000000..3193d67f --- /dev/null +++ b/scripts/external_masking.py @@ -0,0 +1,271 @@ +import math +import os +import sys +import traceback + + +import cv2 +from PIL import Image +import numpy as np + +lastx,lasty=None,None +zoomOrigin = 0,0 +zoomFactor = 1 + +midDragStart = None + +def display_mask_ui(image,mask,max_size,initPolys): + global lastx,lasty,zoomOrigin,zoomFactor + + lastx,lasty=None,None + zoomOrigin = 0,0 + zoomFactor = 1 + + polys = initPolys + + def on_mouse(event, x, y, buttons, param): + global lastx,lasty,zoomFactor,midDragStart,zoomOrigin + + lastx,lasty = (x+zoomOrigin[0])/zoomFactor,(y+zoomOrigin[1])/zoomFactor + + if event == cv2.EVENT_LBUTTONDOWN: + polys[-1].append((lastx,lasty)) + elif event == cv2.EVENT_RBUTTONDOWN: + polys.append([]) + elif event == cv2.EVENT_MBUTTONDOWN: + midDragStart = zoomOrigin[0]+x,zoomOrigin[1]+y + elif event == cv2.EVENT_MBUTTONUP: + if midDragStart is not None: + zoomOrigin = max(0,midDragStart[0]-x),max(0,midDragStart[1]-y) + midDragStart = None + elif event == cv2.EVENT_MOUSEMOVE: + if midDragStart is not None: + zoomOrigin = max(0,midDragStart[0]-x),max(0,midDragStart[1]-y) + elif event == cv2.EVENT_MOUSEWHEEL: + origZoom = zoomFactor + if buttons > 0: + zoomFactor *= 1.1 + else: + zoomFactor *= 0.9 + zoomFactor = max(1,zoomFactor) + + zoomOrigin = max(0,int(zoomOrigin[0]+ (max_size*0.25*(zoomFactor-origZoom)))) , max(0,int(zoomOrigin[1] + (max_size*0.25*(zoomFactor-origZoom)))) + + + + opencvImage = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR) + + if mask is None: + opencvMask = cv2.cvtColor( np.array(opencvImage) , cv2.COLOR_BGR2GRAY) + else: + opencvMask = np.array(mask) + + + maxdim = max(opencvImage.shape[1],opencvImage.shape[0]) + + factor = max_size/maxdim + + + cv2.namedWindow('MaskingWindow', cv2.WINDOW_AUTOSIZE) + cv2.setWindowProperty('MaskingWindow', cv2.WND_PROP_TOPMOST, 1) + cv2.setMouseCallback('MaskingWindow', on_mouse) + + font = cv2.FONT_HERSHEY_SIMPLEX + + srcImage = opencvImage.copy() + combinedImage = opencvImage.copy() + + interp = cv2.INTER_CUBIC + if zoomFactor*factor < 0: + interp = cv2.INTER_AREA + + zoomedSrc = cv2.resize(srcImage,(None,None),fx=zoomFactor*factor,fy=zoomFactor*factor,interpolation=interp) + zoomedSrc = zoomedSrc[zoomOrigin[1]:zoomOrigin[1]+max_size,zoomOrigin[0]:zoomOrigin[0]+max_size,:] + + lastZoomFactor = zoomFactor + lastZoomOrigin = zoomOrigin + while 1: + + if lastZoomFactor != zoomFactor or lastZoomOrigin != zoomOrigin: + interp = cv2.INTER_CUBIC + if zoomFactor*factor < 0: + interp = cv2.INTER_AREA + zoomedSrc = cv2.resize(srcImage,(None,None),fx=zoomFactor*factor,fy=zoomFactor*factor,interpolation=interp) + zoomedSrc = zoomedSrc[zoomOrigin[1]:zoomOrigin[1]+max_size,zoomOrigin[0]:zoomOrigin[0]+max_size,:] + zoomedSrc = cv2.copyMakeBorder(zoomedSrc, 0, max_size-zoomedSrc.shape[0], 0, max_size-zoomedSrc.shape[1], cv2.BORDER_CONSTANT) + + lastZoomFactor = zoomFactor + lastZoomOrigin = zoomOrigin + + foreground = np.zeros_like(zoomedSrc) + + for i,polyline in enumerate(polys): + if len(polyline)>0: + + segs = polyline[::] + + active=False + if len(polys[-1])>0 and i==len(polys)-1 and lastx is not None: + segs = polyline+[(lastx,lasty)] + active=True + + segs = np.array(segs) - np.array([(zoomOrigin[0]/zoomFactor,zoomOrigin[1]/zoomFactor)]) + segs = (np.array([segs])*zoomFactor).astype(int) + + if active: + cv2.fillPoly(foreground, (np.array(segs)) , ( 190, 107, 253), 0) + else: + cv2.fillPoly(foreground, (np.array(segs)) , (255, 255, 255), 0) + + if active: + for x,y in segs[0]: + cv2.circle(foreground, (int(x),int(y)), 5, (25,25,25), 3) + cv2.circle(foreground, (int(x),int(y)), 5, (255,255,255), 2) + + + foreground[foreground<1] = zoomedSrc[foreground<1] + combinedImage = cv2.addWeighted(zoomedSrc, 0.5, foreground, 0.5, 0) + + helpText='Q=Save, C=Reset, LeftClick=Add new point to polygon, Rightclick=Close polygon, MouseWheel=Zoom, MidDrag=Pan' + combinedImage = cv2.putText(combinedImage, helpText, (0,11), font, 0.4, (0,0,0), 2, cv2.LINE_AA) + combinedImage = cv2.putText(combinedImage, helpText, (0,11), font, 0.4, (255,255,255), 1, cv2.LINE_AA) + + cv2.imshow('MaskingWindow',combinedImage) + + try: + key = cv2.waitKey(1) + if key == ord('q'): + if len(polys[0])>0: + newmask = np.zeros_like(cv2.cvtColor( opencvMask.astype('uint8') ,cv2.COLOR_GRAY2BGR) ) + for i,polyline in enumerate(polys): + if len(polyline)>0: + segs = [(int(a/factor),int(b/factor)) for a,b in polyline] + cv2.fillPoly(newmask, np.array([segs]), (255,255,255), 0) + cv2.destroyWindow('MaskingWindow') + return Image.fromarray( cv2.cvtColor( newmask, cv2.COLOR_BGR2GRAY) ),polys + break + if key == ord('c'): + polys = [[]] + + except Exception as e: + print(e) + break + + cv2.destroyWindow('MaskingWindow') + return mask,polys + +if __name__ == '__main__': + img = Image.open('K:\\test2.png') + oldmask = Image.new('L',img.size,(0,)) + newmask,newPolys = display_mask_ui(img,oldmask,1024,[[]]) + + opencvImg = cv2.cvtColor( np.array(img) , cv2.COLOR_RGB2BGR) + opencvMask = cv2.cvtColor( np.array(newmask) , cv2.COLOR_GRAY2BGR) + + combinedImage = cv2.addWeighted(opencvImg, 0.5, opencvMask, 0.5, 0) + combinedImage = Image.fromarray( cv2.cvtColor( combinedImage , cv2.COLOR_BGR2RGB)) + + display_mask_ui(combinedImage,oldmask,1024,[[]]) + + + exit() + +import modules.scripts as scripts +import gradio as gr + +from modules.processing import Processed, process_images +from modules.shared import opts, cmd_opts, state + +class Script(scripts.Script): + + def title(self): + return "External Image Masking" + + def show(self, is_img2img): + return is_img2img + + def ui(self, is_img2img): + if not is_img2img: + return None + + initialSize = 1024 + + try: + import tkinter as tk + root = tk.Tk() + screen_width = int(root.winfo_screenwidth()) + screen_height = int(root.winfo_screenheight()) + print(screen_width,screen_height) + initialSize = min(screen_width,screen_height)-50 + print(initialSize) + except Exception as e: + print(e) + + max_size = gr.Slider(label="Masking preview size", minimum=512, maximum=initialSize*2, step=8, value=initialSize) + with gr.Row(): + ask_on_each_run = gr.Checkbox(label='Draw new mask on every run', value=False) + non_contigious_split = gr.Checkbox(label='Process non-contigious masks separately', value=False) + + return [max_size,ask_on_each_run,non_contigious_split] + + def run(self, p, max_size, ask_on_each_run, non_contigious_split): + + if not hasattr(self,'lastImg'): + self.lastImg = None + + if not hasattr(self,'lastMask'): + self.lastMask = None + + if not hasattr(self,'lastPolys'): + self.lastPolys = [[]] + + if ask_on_each_run or self.lastImg is None or self.lastImg != p.init_images[0]: + + if self.lastImg is None or self.lastImg != p.init_images[0]: + self.lastPolys = [[]] + + p.image_mask,self.lastPolys = display_mask_ui(p.init_images[0],p.image_mask,max_size,self.lastPolys) + self.lastImg = p.init_images[0] + if p.image_mask is not None: + self.lastMask = p.image_mask.copy() + elif hasattr(self,'lastMask') and self.lastMask is not None: + p.image_mask = self.lastMask.copy() + + if non_contigious_split: + maskImgArr = np.array(p.image_mask) + ret, markers = cv2.connectedComponents(maskImgArr) + markerCount = markers.max() + + if markerCount > 1: + tempimages = [] + tempMasks = [] + for maski in range(1,markerCount+1): + print('maski',maski) + maskSection = np.zeros_like(maskImgArr) + maskSection[markers==maski] = 255 + p.image_mask = Image.fromarray( maskSection.copy() ) + proc = process_images(p) + images = proc.images + tempimages.append(np.array(images[0])) + tempMasks.append(np.array(maskSection.copy())) + + finalImage = tempimages[0].copy() + + for outimg,outmask in zip(tempimages,tempMasks): + + resizeimg = cv2.resize(outimg, (finalImage.shape[0],finalImage.shape[1]) ) + resizedMask = cv2.resize(outmask, (finalImage.shape[0],finalImage.shape[1]) ) + + finalImage[resizedMask==255] = resizeimg[resizedMask==255] + images = [finalImage] + + + else: + proc = process_images(p) + images = proc.images + else: + proc = process_images(p) + images = proc.images + + proc.images = images + return proc diff --git a/scripts/prompt_matrix.py b/scripts/prompt_matrix.py index de921ea8..dd95e588 100644 --- a/scripts/prompt_matrix.py +++ b/scripts/prompt_matrix.py @@ -44,40 +44,16 @@ class Script(scripts.Script): def title(self): return "Prompt matrix" - def ui(self, is_img2img): - gr.HTML('
') - with gr.Row(): - with gr.Column(): - put_at_start = gr.Checkbox(label='Put variable parts at start of prompt', - value=False, elem_id=self.elem_id("put_at_start")) - with gr.Column(): - # Radio buttons for selecting the prompt between positive and negative - prompt_type = gr.Radio(["positive", "negative"], label="Select prompt", - elem_id=self.elem_id("prompt_type"), value="positive") - with gr.Row(): - with gr.Column(): - different_seeds = gr.Checkbox( - label='Use different seed for each picture', value=False, elem_id=self.elem_id("different_seeds")) - with gr.Column(): - # Radio buttons for selecting the delimiter to use in the resulting prompt - variations_delimiter = gr.Radio(["comma", "space"], label="Select delimiter", elem_id=self.elem_id( - "variations_delimiter"), value="comma") - return [put_at_start, different_seeds, prompt_type, variations_delimiter] + def ui(self, is_img2img): + put_at_start = gr.Checkbox(label='Put variable parts at start of prompt', value=False, elem_id=self.elem_id("put_at_start")) + different_seeds = gr.Checkbox(label='Use different seed for each picture', value=False, elem_id=self.elem_id("different_seeds")) - def run(self, p, put_at_start, different_seeds, prompt_type, variations_delimiter): + return [put_at_start, different_seeds] + + def run(self, p, put_at_start, different_seeds): modules.processing.fix_seed(p) - # Raise error if promp type is not positive or negative - if prompt_type not in ["positive", "negative"]: - raise ValueError(f"Unknown prompt type {prompt_type}") - # Raise error if variations delimiter is not comma or space - if variations_delimiter not in ["comma", "space"]: - raise ValueError(f"Unknown variations delimiter {variations_delimiter}") - prompt = p.prompt if prompt_type == "positive" else p.negative_prompt - original_prompt = prompt[0] if type(prompt) == list else prompt - positive_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt - - delimiter = ", " if variations_delimiter == "comma" else " " + original_prompt = p.prompt[0] if type(p.prompt) == list else p.prompt all_prompts = [] prompt_matrix_parts = original_prompt.split("|") @@ -90,19 +66,16 @@ class Script(scripts.Script): else: selected_prompts = [prompt_matrix_parts[0]] + selected_prompts - all_prompts.append(delimiter.join(selected_prompts)) + all_prompts.append(", ".join(selected_prompts)) p.n_iter = math.ceil(len(all_prompts) / p.batch_size) p.do_not_save_grid = True print(f"Prompt matrix will create {len(all_prompts)} images using a total of {p.n_iter} batches.") - if prompt_type == "positive": - p.prompt = all_prompts - else: - p.negative_prompt = all_prompts + p.prompt = all_prompts p.seed = [p.seed + (i if different_seeds else 0) for i in range(len(all_prompts))] - p.prompt_for_display = positive_prompt + p.prompt_for_display = original_prompt processed = process_images(p) grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2)) diff --git a/scripts/xyz_grid.py b/scripts/xyz_grid.py index 3122f6f6..3df40483 100644 --- a/scripts/xyz_grid.py +++ b/scripts/xyz_grid.py @@ -286,24 +286,23 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend print("Unexpected error: draw_xyz_grid failed to return even a single processed image") return Processed(p, []) - sub_grids = [None] * len(zs) + grids = [None] * len(zs) for i in range(len(zs)): start_index = i * len(xs) * len(ys) end_index = start_index + len(xs) * len(ys) grid = images.image_grid(image_cache[start_index:end_index], rows=len(ys)) if draw_legend: grid = images.draw_grid_annotations(grid, cell_size[0], cell_size[1], hor_texts, ver_texts) - sub_grids[i] = grid + + grids[i] = grid if include_sub_grids and len(zs) > 1: processed_result.images.insert(i+1, grid) - sub_grid_size = sub_grids[0].size - z_grid = images.image_grid(sub_grids, rows=1) - if draw_legend: - z_grid = images.draw_grid_annotations(z_grid, sub_grid_size[0], sub_grid_size[1], title_texts, [[images.GridAnnotation()]]) - processed_result.images[0] = z_grid + original_grid_size = grids[0].size + grids = images.image_grid(grids, rows=1) + processed_result.images[0] = images.draw_grid_annotations(grids, original_grid_size[0], original_grid_size[1], title_texts, [[images.GridAnnotation()]]) - return processed_result, sub_grids + return processed_result class SharedSettingsStackHelper(object): @@ -577,7 +576,7 @@ class Script(scripts.Script): return res with SharedSettingsStackHelper(): - processed, sub_grids = draw_xyz_grid( + processed = draw_xyz_grid( p, xs=xs, ys=ys, @@ -593,10 +592,6 @@ class Script(scripts.Script): second_axes_processed=second_axes_processed ) - if opts.grid_save and len(sub_grids) > 1: - for sub_grid in sub_grids: - images.save_image(sub_grid, p.outpath_grids, "xyz_grid", info=grid_infotext[0], extension=opts.grid_format, prompt=p.prompt, seed=processed.seed, grid=True, p=p) - if opts.grid_save: images.save_image(processed.images[0], p.outpath_grids, "xyz_grid", info=grid_infotext[0], extension=opts.grid_format, prompt=p.prompt, seed=processed.seed, grid=True, p=p) diff --git a/special_start_medvram ohne xformers.bat b/special_start_medvram ohne xformers.bat new file mode 100644 index 00000000..9377ad45 --- /dev/null +++ b/special_start_medvram ohne xformers.bat @@ -0,0 +1,8 @@ +@echo off + +set PYTHON= +set GIT= +set VENV_DIR= +set COMMANDLINE_ARGS=--opt-split-attention-v1 --medvram --api + +call webui.bat diff --git a/special_start_medvram.bat b/special_start_medvram.bat new file mode 100644 index 00000000..b0803c41 --- /dev/null +++ b/special_start_medvram.bat @@ -0,0 +1,8 @@ +@echo off + +set PYTHON= +set GIT= +set VENV_DIR= +set COMMANDLINE_ARGS=--opt-split-attention --medvram --api --xformers + +call webui.bat diff --git a/webui-user.bat b/webui-user.bat index e5a257be..dacdf1b9 100644 --- a/webui-user.bat +++ b/webui-user.bat @@ -3,6 +3,7 @@ set PYTHON= set GIT= set VENV_DIR= -set COMMANDLINE_ARGS= +set COMMANDLINE_ARGS=--medvram --api +git pull call webui.bat