From cf33bf2c96b7513464bdc8dfb2eec0cccb6f1e7b Mon Sep 17 00:00:00 2001
From: Jiayu Liu <jiayu@hey.com>
Date: Wed, 24 Jan 2024 13:30:16 +0800
Subject: [PATCH] add segformer

---
 candle-examples/examples/segformer/README.md  |  23 +
 .../examples/segformer/assets/burger.jpg      | Bin 0 -> 62870 bytes
 candle-examples/examples/segformer/main.rs    | 109 +++
 candle-transformers/src/models/mod.rs         |   1 +
 candle-transformers/src/models/segformer.rs   | 705 ++++++++++++++++++
 5 files changed, 838 insertions(+)
 create mode 100644 candle-examples/examples/segformer/README.md
 create mode 100644 candle-examples/examples/segformer/assets/burger.jpg
 create mode 100644 candle-examples/examples/segformer/main.rs
 create mode 100644 candle-transformers/src/models/segformer.rs

diff --git a/candle-examples/examples/segformer/README.md b/candle-examples/examples/segformer/README.md
new file mode 100644
index 0000000000..42a21e8ebf
--- /dev/null
+++ b/candle-examples/examples/segformer/README.md
@@ -0,0 +1,23 @@
+# candle-segformer
+
+- [HuggingFace Segformer Model Card][segformer]
+- [`mit-b0` - An encoder only pretrained model][encoder]
+- [`segformer-b0-finetuned-ade-512-512` - A fine tuned model for segmentation][ade512]
+
+[segformer]: https://huggingface.co/docs/transformers/model_doc/segformer
+[encoder]: https://huggingface.co/nvidia/mit-b0
+[ade512]: https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512
+
+## How to run
+
+```bash
+# run image classification task
+cargo run --example segformer classify candle-examples/examples/segformer/assets/burger.jpg
+```
+
+Example output:
+
+```text
+classification logits [3.275261e-5, 0.0008562019, 0.0008868563, 0.9977506, 0.0002465068, 0.0002241473, 2.846596e-6]
+label: hamburger
+```
diff --git a/candle-examples/examples/segformer/assets/burger.jpg b/candle-examples/examples/segformer/assets/burger.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..e823c37aa5f73f93b88015f9b47bba05878c8d7c
GIT binary patch
literal 62870
zcmbrk1ymi)*09;<;O_43?i$?P-QAr4fdqoPySuw<Ah^3jaCb`rfei0=XWe^e*82aM
zHB)^~ucvqI>aN;V)v|Z}UH!WQpvp<fN&z4c2#|T-fWLc)I<n&8#wu#cQnCt??->Aq
zD5GHO<P1gy07oYeH#KQ7QXO4AQkZD~48Q@<02=_9n!CFws!M4A?@3ltoYehY=^y@2
zdRhkF&jbJqOfo8@r2moszalhq7dH<80I9rdb68lqo4<4LJ3DxLxcno(d1p*B`+pb=
z`479jSMZ&2|6%KYG2{Q}{EJ2YVGBnmi+7!W>g;0SXz>pZzH_*jr{z0CD7<s1m#wAu
zJ1@R7rGuxV?K}T^XG}*+Q+EJ>MEpnYVQFsj&aCf@=%%42{?38`0E=k-Uu^bY>|y!w
zy`BId?(E{@W@~NZK}u^*N6N;>$4e?>>Fr?Y;lZS0YHn}pW<e_M?C4_Z<O2ZzYV$v(
z0Q7%sOZskPZZ<w{ZYFl-ck}-{{ckh>t@Xc$fBN=c8uzOI(`O*;$^XdyQ}#bH=RyGB
zeSEh~{C{L-835200sy${|B+GV0{}`e0JP5hS9`Gk880>-9xnVWEZ*MU%(j;1%>Nkl
z-|7ER;oqA7YxuA0G5>SDf7^~!!qUpr)4_xEAETN(J2-o~k-EE>np=`G{oe=i|L21L
zRjvQ32cw#$m8F}d)BB~g-bb0Oll6OdJ6YIz*g89r+B*HOdieiivHz;WKlrb4{SFw#
zZvdt-Gk`jS2|!#<0+1L80E9vAdk*N|{iXn?1^hGfv`LQtHSXW}J^z39|Cb#&?)?z#
zZfi~Yk62tygVfy9&Fde2pA-M=pa6IP1;7OG0Ahdwpaqx!c7O*E07L*uKn_p_Gyq+|
z2rvh107t+L@CH5sfj}q_1;hg>Kqim}6ay7NEzk(G0o_19Fbqrpv%nIt0qg*Wz&UUO
zJOMB7H!>Iy5(oo?2O<GcffzvSAYPC#ND`y~QUmFNOhDEkCy*!T6X+`_3X}-S1QmcP
zKn<V{P(Nr4GzVG(?Sf80cc5o51Q-#F2_^zlgIU15U{SC<SOaVbwg$U`eZj%tSa3SH
z5L^vz1^0s|z)RpA@HzMq0)Rk(z=j}$V1nR<5Qk8P(1WmoaDxbdh=fRmD1@km=!6)7
zSb*4pxPbT#2@Qz>NeamXDF7)0sR?Ng=?WPD84Z~USq|9>IS9D`xeIv%`38jqMF_<J
z#SbM5r2}OR<qZ`Il?qh~)dDpHwFGqt^#lzKjSWo$%>yk1tqW}j?FStVodaD5{SA5!
zdLQ}`1_lNXh5<$hMj6Hw#sel4CIhA#rVnNw<`Cu=ECMVEEIX_etRAcrY!GZJY$a?j
z>^$r-><b(!92FctoHCpRoDW<aTrpfH+zi|y+zUJ!JPo`Myav1-d?0)}d@cMC{3iT8
z0s;a#0w01Zf-S-qgmi>@gi(ZDgx`qhi1di!hz5wBh_Q%eh~E&`5bu$Ykf@PFko1r|
zkYbT4kiH{rBmF|gKxRgkMYcfxjGTqsiad{eg#w2{g(8Y#gyM^miqeEKgK~iihf0kq
zj%tb;fSQHcfx3eFh=zg2hNg_>h!%}ji8h9If)0aDjV_69fgX%rg#I0U9|Hn|0z(|b
z9OElSF~$(aAtp2?4W=xn9cC0}4dyiF4Hh~UCzcl0N31NY9;_W~2yAL>S!@UFIP6C3
zW$b4hA{<d1OPmOtTAX>DpST3LBDj{gk+^lZOSsQ?q<E5e_IL?+ZFpPwkoffYs`%dc
zx%fl)7X+9D0tDs+kpztd>x5uJdO|fqKf)ryNy0}WVj^iG7orTJ??e~G*u)~lcEriV
zy~L*^7$m|Zwj{|UeI#e3Sfrw)4y5U%gQPcPgk&;go@51N(_}B?G~}A(LF9GhTNLmV
zycAXx$rJ+=H<Tolij<!yt0>p0;HY@1Y^c(xMyP&L(@<+uhf%jtpU~ja$kO=IRMBkG
zBGG=Jb)_w&U8IAi<E68w%b}a42h(%W+t6px&oF=)xEX92av0_qp&0oXofr!lSC|l)
zM47yps+e|}v6&T^gP7ZxuUIHq^jH#DMp)ihxmX=oi&;0=(AnhJg4jCQ?%3(s&Dpcq
z7denPq&Plvv~%2YGH_aQ=5nrbVQ?vOg>emVy>jz#yK&cYpYl-hnDAuttngy;s_;hh
zj`BhAiSd2r>*o8-&&}__-^hP0z$9QVP$_UCNF!(|SS+|NL@s11R3Nk?Oe$<5oG-ld
zf$W3nhr$ngA`~JPBBdh7qI9BmqSc~TVyt3rVl84n#rehk#lJ~FNJvXWN=!?lOKM7H
zN^VP$OIb@*N!>_uN&88ElYx?vmr0OWktLEfm#vV!k>io`mm8EvlvkI}l;2aJS8!A4
zR0J!^DJCgyDp4spDYYpB%CgEy%3CTlDy}MBs?e$`s#&T>YHVts)JD`X)Q#0E)t@xP
zG~zTiG-)+GH3zg%v<$Q=w0>$!XeVm#=&<Pc>rCk4>)PtJ>%r)0>6Pj|>PzaU=pPzz
z8H5@v8`2nlG#oR+H*zrQF-9>qHEuG2GSN1vH2GtyY+7jgXeMixZFXZWZk}d-ZXsfk
zY;kHSWSMArY$arsXmw&OWSwMvYV*M+)#k!h+&0tp)=tJQ&+ezavVEETUk7c6I!9PX
z6UPoGbSHbKL1$v;kIr*03@)KAJFfh$DXuqe@@}Q>Aa_Ieb`Q+=m#IllTF(&AT`ys;
zEU#bQTHZ|`(LOqTob;jhiSRl0mGUj|gY+}^8~8-_De%*-zo>sf04TsLVBj;w=itwW
zU!=d32f_#12TldC1|<ePeAWKi8B7%XC3rtXI;1KTIn*t5B}^bJFB~%5HhemQBO)W>
zEz%-#Jc>0cHR?~adGvS;TTFV)-&m{I={WAV+<54Cr}*WB4+-UoXo<dw`$>vPt;wXx
zk;xA!#wlZ|oT+(f@M)fDJLwAP?HQCA@fm+IZ8Dd##IowL39}=zf96=^%;$>a*5(oA
zMddx`+vcwpNEfsgQWvHcK^J)y9TjU8kCgD1RFvYEMwPynIhE~{tCbH{@KjV(5?01l
zfvY^LPOA;7XKN&C+H09=3+k}zqUwQq&-$|llZNF+`Nn}J-lp1Ss^;t#jF!k&P^(Yt
zO`A>IPP=aVT!&o8K&L=wOBZujSvOgCRu5KBTrYfYaPQwf-@eChF5fQtt^4-}j0ZNp
z>wI4vR2`fik{=o!mKy#(B0ADHDm2<X#y{3E&O6>V!9CGB$u-$B#WmG3%{|>Z!!y%9
z%QxFOCpgzT|6#s=L1JNeQFd`+Noi?rS#x=H#b9M;)nfHz&0+0!-D~}2<I5)0X5<#?
zR_Zq4cHs}YA9Xw2J3YG+yOVqBdmH=a`{xJl2Y(KOkC2X1k4cUzPS{VnPo++0&-Bj@
z&t1-6E<!KSF0-#_ubQt#t|xDFZVqqVZvWmz-{akvJ#an@JgPiyKRG_V{EYmC_pAIj
z@9&Xk?dRhc?>{hq(qHLbJKyBrHvc;Q{rh(V2nN7lFvNR;goJ?lC&9cwz@TB^VPM}k
zcocX9`1c<QG8!_{`yUqr4GjaA5EloRkeq~soPmykmscM2|Mvuc2LLqK_XqnI2oN~{
zMgu{hf&LD@zk~n)G{k?u(tsf#p`c*^5G))B073opdGwzI`d23G-*o`-y$~1`0`)!f
zuFeekQRt!}(3(aKD&5w^wir&l84(JC(S&3EgqsMK6-<l7MgQfSLp?7p>g)h3EHo;z
zy$I&n7+87k8+e8mo_4mLw1i(2qy&|}33Wh`uon|20hMV#hq)sMJ5ZepmsCMlDMi%m
z%CCYZJGUzmv<NB`OGyq=DQ8r3xr~*Ah(x5luuIfST&H1Dfs})iY+-)I%3M@L1B>*>
z(?o_wFJYRRfi8MLBNT!tEC>(^QZ~d&17J@0eo`bkm|X~nRxKb3B;vG?4ZQ;$`n4Xk
zjw+I<42C)}5g|pBv!Pgz@bF4dgHm;Hg<_zpQ<5v3Q%P<Pt-xjDWTZ)r)S6m7$W+6w
z6kEog10l$W3J*2IgTKIwXkf?E!lVY0@{(#Ln_<^B6VZbQ9(JWhQ3*|PcU8luM0UT-
zqCP>vWUiu{xImhzLPT8R1~m^N!c?!Km;ea6&5-Pa1bF12FHp4Y*?_a@H#jS7fYAhp
zl^2)EB$IZQYY5ZFh6dDczku3a+CfYQrgx!(hYJ<r62ahHqD_%RmJ-`rrGPJ-l`jek
zl*~qx2R%zuqiul2e3<k}Oo?Ly227nfZK27-2}Y==C>1p$H<mz$X(cEF&<CiV;n;){
z{U+<$Y~wLf3h3<>W^VOE7TI_d6g=fW>f!id%p3?Q;EhUKNrlq2qENp<!drbUHneJ;
z6<wxitGN_8|42rr0x9NUBaMm?6ib>SoA8bCLR2^oLJY9M&!@aWCT(htOot!nhfX#Z
z`%;__{WB<DcNhDUskF@;Ym>Z6l80}|$)-)R*n&a59&A1vUgeSw5-$flJifD@gtJ&X
z9>gN$_R#!ZTmm8&E2eI7SiUVz&5yv2fnm>YKEh?`mRrcX6CT|y-qTBmHZ?WJ-^Le@
z2~XosRSuyHsb$7R-)1_TwRcX+ETyhy_x_yW`}ORR;`;cv5u^W%i>@a`rQpELr@fmO
zF{y_G$HOPL0HVAa&|JzzVo;E?g=OExR%obnnGoniP#LUD6rySMIH%!OcbZsfab3q3
zMKZ=Pv>`$o<Z+?NGKqNs7e<$0ELS-h%)~j|ILrcZP8%Ai2z%F8OPtS>akn1~8|ll!
zNVu=o3=LEEjVwGooNDjmJNdax<#UU%$-^jp>>|cP*M|!w?rfN+=)mn+0}Tp+@#zLb
zL}{(wf8wZkJT46{x5f2BouMC)aVdbKC|F+Dy_-LnjT-21VnP&=YgwYaSO7+#D5Dyu
z5P3?_pqfZNTLnHZh-LO(E~AqHpAhweFqI>-AQ(o*#5)=u^;Sb~Rir6OV@!-f-tK}7
zwSYvA_Q+S*;$&&Q4)5{NAr@ZHdw#ZSOfpZ<bHT|ocXj=geKrVvYc|4{@K?c!-r4Bg
z&Tlj4qkFmBu$aO&6*b&O`Zhj_Jgy3a;PrDmOqC7lCp-km>|d$i6#38+JZ+}UrmLSx
zJA>LaRM)+fc_t*vlR4Eu352hGI9z)i3p6SqCC41WfvQ*nh}7WfW7c0QdResw4?=$x
z%jYn&%?MOCW57j}jKS1H6|pMg6SZoMDu6*#pd8RAC9?ABqgdKnI>Y-5O#B6;=%x0v
zwZ#&p%wN5E!uxg2@2ZfY7EOvX8XiYf)AVY!lDdy<Y+gf1_xQcK(3`4{>t+RCkpl0Y
z>o8yyBeFiD*h|hBWg-P@5)p>!VM(><QdF{8t;b3;>g73e+Ap8|!BU`J3-QX{!k28)
zdifbngA7xDFw_H;-=r@qT63yjJdzqqgEXjiV~R<IuLl>YrjD77tEVWdk$PzYi~FUe
z2BF6)6LBC0gDX(lW?*=6E!f7bfMU?Ctht9{>LGQ@O5w+$aY=B?YAuV8U<AdGbn+fy
zN+qRY6H#P*hrDA|OPX0NH{QjYzstZQViOE|=fjZbF;O-W=hg19^SmaHnmg2Lk#aRQ
z3Q1Fuyc@BRRADuV-Gh>zrlVAP^k?<~h-mCX<l9|Y@qkhbM+Su-0&?B8ogAtBy#a^{
z>jDofAv}<}%kH4nphajDAR1NLo~PNzmpDNNu3wV0g_2Z65dqHE9b>(&;mZ;n>@AW*
zf4<5{{;a}+2E=ND7+ORlrtbW&L;vn2>j`6dmU`KhByXA9kEDLP<#9!1^VEseQWtjv
zUO7IJO%rl{gi2|4)l@{>5*cq0a0OOg-%%T`M-bGWB?;)xUfA11Oj6}}#H`0Cs=Y?s
zXd6J%gU*sild{Z`Or^E!>yv23r}Bw3%~yzz)ZxR1>(7(+7%82RU70-}b50Dycns0(
zmI99VGSZno<?jR+x?z{trSyRL5C>dUHW|clWp^dzAjZrOsL~a~xoyRf;!s2cwijXV
z?VQC1xoUz{&bbf^>PdP20$A(Q+xSbLsvcsd@LXiaPbx-l(TkfE;_4$Yn<`?s<vj1X
z#&(Y^m-fdsb>Rez7;?y0px`DR6URUnj@q`mnghQt5!e%q3ML)TXbDo<4^p08%zq5%
zs~^h5C+_R9_VErJBM^&GUM#Q{t*={3rAiJz;7!YAHa4B5(Jrpk9`DY$L=klERqU4H
z)c+<Aq#VMc0Z`Y(7KnAEbZks8#61wTz7zqm0W`V{h@2s?glsW;u3?Uli11lcfgr>p
zy`8TT(hPZ0bKYg)FPsOLT_0f@+s1d{i|peOsp&E;;d16kPyxP1sI@&+H)uKpNd`9(
z(SvLV+S#$jd})4Bx88(x6n`TU?(diFEL^=aWK2(5`fT_{jU7gp(aXvv^M3&)s^y9~
z)^dUUBDLNUW&SluK{N@fL2QXfyQFNrD&3$`UCfhmiD++!Q#MRdCuY0tW9#(nzkt!5
zB7~(p@dFW?bYndtiz$W_U`y7Cy*VH+2<+Bhstn00t9sGE2d#;NE_lJn50OAPTX+4@
z233T;MDCmWGyLku=+yw8Q?^Bp@Mdw}^z7PmYCEwNG<tPNqLYhoM78|0yJuv9iAb-;
zXF*PP2K9V`6E&5l`6YS>t?WW-J4R>{Yw=c_mZF>y-0D$nac1?*NYu@z^@)=e>LK&W
z>V>tkc?8<_PYP$hQD~_ndLr~SoLj62zGRVhmUj6^oeuCnO;<fD;AI7Q5=R_;R2?!Z
zHVVe3Wt9SeDkXT{xyr9%OjCe&DYCD62jrf5X)xlZ3us5=qe^D!1vM>tD)x|c3t*9^
zUjmvHX1dVUO&IKDIct+}s;}lZ5WuF=W4lm2RX7^kuU@-+dQFs_#9XOJf-AV&wm#h~
zA-|6txc+G~O_=of3--5||7@MQR!C2e3dVAC;=R@HnBHKg0-V7YITnP^U5MOa7b7v<
z*YxDMRgDJLDK*>W?Je7K!$Q$E9!8wv{$GnY-MfDhEy$f(v<vhj`P*Y*5*w;{w4}5n
zNDRQye0|K0C<*RuOT!)?#H5!gP%&ASbC5Ix&$@~nHP1`gAbpfkVnR9xm-c6YCzn?d
zEn+GI##niZknHD`$*v84$l9WRU(TgF|CGY@P&w!K=cctwL@_J1v`w_3w<moJ#hxI_
z)x*QF5(i!<F?uOZ>L;E1)3$_LbCi#!SIe>Rj(u3f_Jbjj=h9z*;i*~PG66W`*4;n(
z{TC>WbSO%xsw-&k(<(NQUnJVLmgm>3*0R-2F6If5Omu&YGI;R8qO@;|ot@tC%I!AI
zEn^(T9%7cHaElchQ{9<zt~+qyU&zQp28Gh#MoJ_*i$fdD5=X6nT@!%gD_|GVVFSC+
zF=AYb1hQf#&q8d^5~C;@Rxp&<8WnbauB*Eicz|dAoe&psp~|FH$t41n2}zY&LBWCE
zQJL#1hpEd@f0A32+hT7Qz$Nz=P;<9rnXF9JP-;xK9TL<T{l<2SDU`+MCmR(C|NFSF
z#pXsQcWz?t>2YX^C=|(i)<q{s`%DJPW(X-aVTDI)<;*k0S{uDV`T0i_CAXQe*?ml%
zp8bAoF=|+2mw$Z$ku`Oc-w)9*GOcK!0+UWw2t@1#m929nFcQ?4dIGreD0Y_x^}Wc5
z<ylbRDvBO1HWV&^7P;CZeu9Y>H|SqhQcP^jx^MgZP?zo0%2+71FuSG9Cn_BqX>ys4
z&BKplm__=B#H`L&<kMTC&GNa{o2Lv@p6;FA*tz$m&{SR0_W&#fPMPTh?c<gnvz8V|
zpAGajwb@G+N~RcvI(f@C2duQZZ9))%YlCL!X#x@9qr!(0HSM$%<I8la&br&_xvoD+
z6?ZWk3wmmr2fF9_JkBvFavRv^K3(;i^CyQ%wh&=HLzocq_=u|zK7k@r$yAt-3DEVT
zNY46j@!$BOaiR0uszvnSBCYV60V`O}y>Oe}(VN#Y#a}F414dNS>lv!VhxaDgLdHfV
z201PoZ5F}E`QK)Z^CqySzR&BGx%1T9_&O2T^GhWXzEb;5m0&k{=qe6fr7U0ErN0Pa
zw^|eMJ$5Gv&p`Bf-aq+QYCW{tXQrCCtYIM`MJS7C&TyYT6fNW^B0bFMHo-3JVNRt#
z-;Rf#6qi+zpTFtUx^nts$qvzW-{*Jy;@@t4<%ry`Fl^9!_*Ge~sGLKLuBL%jmxzRb
zZ?6vvh^`{QlyEX#Km-j@6Y#R*69?yWI>pcB^C|F1krkkr+1y3r6v7o?`1BR7{;9y;
zs)S44(9Sw2d$qln{GNK&Q;d^^;pC@W_~}Oz?a@j&{9MApYEh~YPn&4c_`><vUqD{0
z@bGOIsncMN>Fi3m$>>>gW`3QUx_<pKrP_@7>g#aA_|wV3CA|CkZ`=pB?ITG8uY%Au
zb$f1v?k&*6)A9Vw?c2;_e2zmNdns{Xvwqp6!&ZQ0<O9UkV#1Bu)xAZGi~{~$T+5#&
zLoWe6fw9cKWo6ncP08+62x&NpUtWNStqowh4xRQz>~j!i3?+4lMm???-5CZg;w(H2
zS|KYWXA#-}>#Nn>D-VH3ltvtk)k^O#`wAc8MJ)erKC(y^LkMxM94I~aM`KE!o|^A*
z82x9D6q9BIX1ao@Cx0er%G#d?CvsO0a>K(6>*S=K!>0&q)oDsvVyx5ByMVHxQK%>U
z2(7&H0C$fw(g)%3dym>amPH?u1c{E`?{UMe<JhkSmbZmGQpTnQZ^|9!6K80|j>0?2
z+Y&Ayje~3P?w`yHLQpREcEj5xC+=w<bcL+s^HN_&zWqGQM^|01tha4c6_LXbJvURS
z$5pX{MN7I^wX_+kDF?F2<R=GJphUmOB}Chja)S4pbWS(I7Jr^Ad5(`eV@A67K>Y<U
z>hjzke(34Ff<j4n7JXlkk~qe7wHpYVGYRp>Hf2sc{y;2h*(2hj^9)BQXHeAqo>3bm
za+NZR(XNc2FPt7s&9||rYh#)wlSy#a4^b7Wvwo&R;R-ulY?A6rMj=j`%=<i<<PVw_
znE&V@beF_^ja++HKFOwmVJJ#Ilv<xpKEipH-c(%sEn=Q(R;68!geq(EgCLcX@CM^8
zMjLqox>*o!(U*M$%yMuvnE64_*2F<PmDOekniwOHR%?d}?F)_wF)0QY*O%z^9@9l(
zES9uK<(B&6r#EJnr?yEQA+f6TiK#syEF84~fm&vql)5S>SMPz{Pxs3yW%7BWS8W$b
zlWmne;+Fx1C?7iZmutO_FMWpQUIV)Y@rAdQw4fy~G4n+Ei}(8&d#(zFV7l&dEtj@9
z?B^@C3+%K#`N0!M>2;rnjTUQ|luf;r*(wi<CWJDl;+7oT?bjNPXtzTw=VYzToo<Dl
zSYHw*)&pFR5+V^!xsv!3k3lCEo}+|eDZe*u+_!(R?LZz8vJV%2O+v)H<ZJv2d#kS7
z)7-!<G=}Rk6?*>>AJ;`~5cI|MxW%=^>P)(pcE_X6cfU-x*Nmbd(&zqMxc_3FgtRAb
z?08p=KezsV+qtN^7ijLP-LFi&RftMHe946!emys+$I3&9Gg=JR^(k0hlqfCN<&hj~
zN3T2j*ryR&XfrJz)r#s$ujD&Z)fkJ_*_oq1{Nc!3?fTIl9Kl(-nSC$s`Di@jo_#3L
z>d?(t%U(}g>wfC@7m%bD)Lj&Ec6MUVGBzlhzj+JTb=b^p-6EWs(I<GW9lfTxyUXl4
zkGS`Jjg>{%<GX?#V^lt6CfzL~YF~_D-CQ!4vriB`#cWrzib*MfoGq|Ox5>d1!yQsA
zu?+Gjs8@1&3bSf;lT$L=`YmG5bME`y(}!w_gw<vV^G^!p_IH|xpVQ6~AOEE0;rbWc
z$^GPlPVPbYym0;`PsI4tHU8^Pzf*~O=-yWvE={>f2<i^`u&n32T8(vo%^g)({YrI+
zCkgF?DQ_4x)Dnx(;;&l|2XG7ihSqN!-I6xPnUf3_ff@`G&&${DX_Bt<;K#!ft%{aM
zhL!ciu{&oelO(Zg&0sWJajQBkX4NiFE24=0iZu$w7@`^{_pJ_`YFoiKf&31dh7N?r
zqlNVB8Cl;Xj4TEuKEB%M`*$~GhaS~kGnpW>JfkCZm4VkL;JRQkWW;>|6<qvHxA_a2
ztSkby@|Ljo*r&gMdbiDZ=;D2!_{BzTUC{5i57s^jv|ntzunPy}U0>l6#NU<=KVvmz
zdeSc?E;Y)h99cMQ%bS<-hm9k^bo4(+eHg-;&N0f`(V|IhPTd|acC`9#P)zS*_}rca
zm2(naA&#KM=O%_>r^d$^y=i}&LA!U~<{rLT$3OKkn7Q*IVMwE{LpSFjeXyaEJ$<f7
zagTKadt-=t<#_vL{oXz<`Iyjpz>+I7{YL?DzU}a>?n#`VRt)Ju#MDrZU*=(<G`%qG
z1DO$bSuV6My+i%)S?8k46u}LSx&7IDn`;?vVz=wL-LNd*hcBgd*&QdV32#p8uc=N-
z6`#J7$9?=zxl&H$$n{jJv+RUiyqoYlG-QbFc-T69CvfhPT9&}w{K{tZyu^a9;{m^U
z?n8-hC1}i#$=29hW^KDsY6WvHdQzUag}$-e!(6LR>+YncJ$tJN-;d-#g}MTdOE{K6
zs-}$4p}F>0#MECU=#khgMQ2vv_v4hGWmwg*y{tq0MzV>F!&3x0W}z;HkA9vbqpd1a
zr-hT!XWe-g<*4*6e$U6r!^52PpA1auR0mc2h2BgzZI?bW2Zz=3un6u8#M=}pEu**M
z`k6isr@9o=g$?Bg$!?V6BwxD#L!s(+;;pIST=5+DLL#53d*Q!;ShK1e!wgT7gw<0)
z1RlsUhtZvU5-*j8`Gzp!emPvSD4^PK8a3zaVIM^=HcKOkK<bj%*0X&-N!qY=ZI?i`
zqK5+eT+@kLt6Ee+)@mxAH%l1z>g>*X9Lw{WC&zAWY^7o&fxgvv!DI|k;Vw>!CnUUK
zOHq?v1bci_6ECku*P~%BiI3q7YMheYC6Isvf^fXWM(-+0p-Er2Le9WmN<&SNd<Z^^
z9-Gi&$V7yPe^7_-o^|-7Gp!)lm&XE)FvSD>%PZ)!Fx|Dvtkw2iD$@m?=h1Dc^f?2f
z+wU~?%VBtJA97n4csL*b%nN-^Pj<R9Xhw3e4n~ah_b>mL%PYvn?k9=uP!9yT-Uuu+
zYA;*(j0|I*jd5nxx?LgcbH-2QQBB1&&UuVR`J=U(cj<A)ghn&?c|Eai4KVTOpLHh9
zey9HhPJt!Cd!K9b>}*-avmAQ&pqD=_a;V;kE|uErAoHq*>Cs3TF##a8vv2c8!2^PN
zK)g_rY-`-Xs&<wm^}bbR7ABs&CHXFwhje~^H@Sz{g-YtQv?^d3Do)O5c%_6)1<F~&
zYTpML=`{W4o-QyV2#SBct59qrOQ3TqDW7x*kD#!|cshznZrjgYwz&RC!Cl<`YfoZg
zp@)LD^c3@JNkcgNpC|$)2PB93pWLW?KFkgpYl%FqG>K3(I*|m35d?6XqXpyx@!1u`
z)N(w<vW%zZ8#?7V#jvG^@L)ndFU~MLMtnvli7qT=&N@VoqjjFIhce@b^!x6r=W&_b
z1^kuf32>9B9c4-zky4_)a8-n3D!Hpc70f~jNmORJyn%_HHsTQ}rJ*u!xufRmGHJDb
zWWMRiR8BQ!W6&+`j;tX>j8su*i`|HyWHM4W;|Go;8s-Gk&?v|)<%jRkYfb11Lo7zq
zC`~_ww@H&oQy?nGUH*}gj{GDy!V{vBFv?wCfEs@Q>8?YGpFrUk-z`rF#Z(%iuWOkM
zYgIdyO%r1(DYq~}`BBYWBa!1C#BFxQy>094=Nlu<jsclN_+#8rmdB#aZNXi;EYnAu
zG^>35_oIE5OMY=dtx*UT2NT@gdw^EUY;m@dC)3W`x&^;EWOU_F*6kx9CTDhddow-p
z0Fs!v!80}H#iwG%5Qz2kcvT0S$O`@aCby#Xl4(s1^9}P9{g}9V^yNy_`eaQxqtu|x
z3vwMFBgZNMBqwp~h4I<=rWU;~@|cmE#r_2;ktVIOwePOkvvhicinHQ*_WdQU(wc7g
z5(uqBRT<mb?h#4iklcYkYl2cF1*CDdv9Str90|$_#cR8vS9+~H!>aOVh2nYImvJ%a
ze;gX>TgNEMUs=#cEo3;R-E|XWL+K4=;~F4U`$Y=kbD&&U>9krZr&HBZF5@zvb7D=o
zCWm|SaPTO|nUSNQ>^9cGY=kETu&#CeZc;0J6_WCCaGS$5ynDqa$E0jyt`{rZ!Ww}B
ziNY}X<jv;s_<Lwwg?{>>#fz?rSEC7>Q0sp35+^d;sK3-0RIAvqXQ(czo@2sjd?GFa
z<IT`sWyVBX2)`tIc)Dj5D_JPB6YNKIF>Git_RQ&rFM7E(5E*tTL02Hin#4c#qbm-M
z46&Q!L?LfZDCoqOz-6ACmB>R`DLm!WT8>EE3X!&=Qig=AMszugx}=8$+7+m9s7UDz
z!E;o)3Sr?f@1;@~@PaO4V{YY*265O2B{1qW1avg)0y)C7%jbKG{B)KWXXz~iB+6IH
zxKDCfc~irKr7AR)#3Sg_j;w4g9huD;sVB$pN;%kZQsY=fGSVX#w=zgY*J51{j>t_o
zP`8_)!#HS6p{%6I_9p%0IM@o{n((>#tc0e9tl-5Ah6TGPMa8m5sF$o*d3EDVCz>du
znSO`wFCIx923zUW>gq;r<)p_c5Pp+F9JON6jrODSiB->WrwWgrj8@u8FATcJXAn)N
z3!JnMjbp=k4~)^G0w4&;e}ZoBA+Z06fq~zT0Vp(d3`}S&RBTca6;=}%m-k2*?0fcm
zbnZ=yE$%zXt1JV_?U=6SUm$ko+4{ri$hq~0+bX#Z<(S5(H@eryl3#LDG{f$BgZT2F
z<rcsee9P}HGA+xNm=eb5U+2qdyY!#wK97*(s^zbitnCbQXW1(;6FQ`H#DUxJFX?3$
z)0Ol&HQtDYwg0faA%6dA?|U6fibzT!Q4To|2mLWN@PK{}E2O)k?M?o9FAw1v7r`F;
zOin~pbwF#>z$(YmQFa~Q<3aUs4fA9p0jJpOdUNJmW!(t}Hlz;<l}*t4iKG}k;~>`B
zGE%Cpe@NWoV#*Q(*;o`6S)I*2GSAD}%x>IG)34)7NYnzye6j%`4udT>+%+rp`_5o`
z1^$IXgu3fDIqC|T<>2*Dy@tt1^FOVsPEjIrD&SerSGJ<8Mm7BT9v9M}33Dpz;?ZW!
z-o3($r;NfPbyRJLoI}?{l7pcZ>F^+=1la45F0<F+0@h72piI$Dan8cbAiY_UcRs#j
zf^nUVNMUhhC+nk8wD_No1@vBcHuk)zsve@%tO?{uuA^k$tLTkuB6F)XJl{nYVuYCK
zZ>z)Tnq3p~wejH-$7pWNn`Y%KTWZq9@|o0H<GI_q8Vt;&60==~Ydo3t$HQ=UvQXNC
z5s2E;HTl7-8>A-LmTM?cF`v=b$LYDvWx~tBGTT{Fu7*~4^Bv=LLGe6lNKfBLrGqcl
zeb|;^&}+%_H%ye~u(;JSH4900MI2S2S&7Ka9f!8sVBjbXNVm5<6$$rE_p86MOVZ+6
zMC>VQ&XxGOFkwt~wiG3=Z&QGU<6v&`Il1z};OH3W^i?V$Q^~$1;5{X_9N`eAzxJP2
zYp}cSbJCzBSU6Y7+^|OI6G8k$vy?H<e(}CBjU_6LvShpi&+%49fzZO6Eq%1g^*s=i
zBZC-Jf7p9ck-LB-QR-zp#vDc1v3?FMdD(`{9P_=_OU=^Fg`RPHR4LRjQ6X{Kdq+^$
zB8OuziTl)iT+4UT9M@?1WbLgV|LPFiaT8oos7;=gyx^{b(-(*YB}!B}i&>5X4$*@R
zw$^paNN$5H9YQS`Qv-Q-Dz{%VL^eCKzXiW2+YU1lkQU$fp-|X+xngSn+@X-5mkpC7
zbZW1Fu<#j4^_>(*G*ml#oa)M2h?QoO^F83ec9nk;D*0r|_~_Ho`>m`^FbC#<UQkJ}
zwtH9obH%%>IHjk7RBN5~lM|&cja0B!j&9lqvm~1;&hq39TL-@p;fB-fwj|0WEO<-W
zIh))I#`@&V5(?)?xo%9*%hMV(YR07>97b;D!O`(cNY1!OYw1PJD#7j39}PiSL0v&B
zu9$WwsU>^(F%h@PpE2XN>bG}|Oj!$9IgU;uTJarFK4==@V@#Lrd3~sA=CMgLy?YCu
z*jvQ2*zqk$^<;>uHUVg8t){(hwP9|uRRW!Ds9k<gl(84WK_U!38@Un8j1xYM!L^9R
z$+ez9)5~qVLL8!Q(XT8cdTg>Uo18H+gfhItU*H!va`s*TX!6LQ$cpOtwk<!VB$Z);
zQ+mglQOeGj*Wwa-{2w_Vg65=gwV)kE@$mQezZK3?nY9esg#P*6=2uM1w$^5-m&47!
z7)E2T-BUGpg{GY|mUzWs-Lu~bl4<U8&aw*l5f8Heh1dWwLbfiNjEOIyCoxX0rouC?
zrLoaInkOv(6dzR0C(w(rmEh9p68+IbsqG-}b5_8Y{WkKh@hmtebYx85Y_|-QrIFv{
z`VOd<Oj0Yb5faIHk(!+bU2z{v6+1^hIgJT*t=2bKY1me|Vdpn`jaY0Pu`Z+~w|8)L
z1$Izd*rH!43BjMall7iEwY_W$*+Rz;E$RWZ>p2!vn8idx8~w&|KiQAAHdTKg+v*z#
zba`jE=X4O=frmmHuiEsJ=8P`-9A$<V7^zw%pbwl^Wsg~sa@BuyQrO4&v`gKY-%U8K
z5l4_6(8x|kjwQL=Stsuypciiz_m{WTc@Zl=@i3bosIg3MR%8_U*j-YeunBqFmL2L5
zg{$t$T8X!ww&HnF*2_8&S{jtj{3OsB3Sdx^Gh;x#0{@znTh2{zPehW?kC~QuV{-&K
zUh846atF5v*&^6;A2~u0O?;HlQQeOwZ&eObpMJW(D{cIaiId(&bD#`kb{72grT&U#
zLFRSZaCt?T@+hT6?^B(6yWbt9fa=LOQ^gqKMDR}|2Th!Px(xObr}ijhHhR1^ciGr%
zD-S$%O8rC)9s}Dic9>x$ieZB!o%EOU0!>GKZWl*0F0GRgG}hC6B|`N(R;0T7Ye$?X
z-&^%3se5UNFC?+5nzp6s-J4mGUEBofkNN1i#`%Vu`1TV1DAwUU+XrxBYcvOAv~}4S
z<0b5ABN$(n2=3Q$!I4R{5jA4<$1%N-8A*MpvrTUOYUW>NDe8KRy5&;)w!D4seq6-%
zYuVl_wcD`|H)LP&<Icx>?6)q3&Xh)cLFfA?tbI>Hj!ekBs=VyO<^4uBVxTIeX?`)a
zfM6w!CDkWptbHPiUp#I!hW*@^#&5_)x92gtiLbvsTHG{LQdd|bSuH!6qu5aEFYttQ
zhjsU%zAoYA?(V}U3?7Z-yqdiJ$N<c$B;+ACi)G?O9QZ?5r26=kc&0ngdEAm}3O+mM
zA?5ys@5}wCa;x>c?9N=DQ0SCdj5$%*KhQEfZ^_=3PBm$cGE}r~h-rFxF8%D&$Nhal
zG?nQq&QsKza>yd>NdX;CiO5Y%A5QvJw?**vTQ++wP5ENVopH3ystFncjJRS?`yT<(
zo6R^oZSfDAWLo@pf%sCswNke-=znOtp#-%Q!yS8LKKbBbLY8U{xXw8+svYEPtX92;
zw*(nZUAyT%v3<V3yKQcIhy@SQ*1@qjH>~0j4%b)z<o>LV`zNq{ndg(!E>su$04@ka
z9;xFO_s1OFrwne^#x@&$%yY;U{LHEF3l-9nm$VHN;49<0zG<uZNQI+f{7a>TgoKo}
zq*B?=y8hSEuTQIiR&8FY@bibYyKoa8Hm3Vt1O~0<Ux!~wY275VsOqX>s*9M)$x{SZ
z#7=h`KCuZ3Ebx%BF!-f>@>M05^Ro6NbTi-z+3DX|F-G`^#)%oJP5N4e6f)#L;7c_q
zSkiUbuN!u;-KSg2VHA14Xget3`s|;W&Er}CwmM`-TGfX(U`ip3)q1~QlX{m7!LMJ(
zN;OQjemC1aus)>z6Qv%&;HEHab@{^B1Tmyh+g5s6y(Sp42#SDY1|D|Gm4*0;4lAlN
zJGl22>ZB9)>vVJD?E0iSHoF5gQh$8<K#>&Ctc;VFa}{}%i0`y}IC6m6oyqme%wmw&
zW#Dw1mEzHgyY#xMK)!jV|DpP;V_A2jb^J=~7Fan|KAL|c(!EXGM(*f5y}>~9yksdO
z^#^SXOG`w2+%QSw*EtFU$*AV4(Q&*>1Nf^;PyGO_-EnNRTIN$U0+HQQ=hVxg<4Y^*
zUk0Y1BR^Nt<xM4OeCd)lG3TzdJBR-PVr485>oKZji_dD@%<$CH#G+wtp+9gcf?X#K
zSHG4jU-lLS0eB+2)X4-kE5U*J6*0qZo|7f@wJ^VEPNg~7VJEO5JjoAgxe0w+S-A5>
z@!}<&#yn)@$;R3cwuTQ{gB`!PrdW&M!H)YG*fktdn8Dgdz<-s)&o>!RU1yq~ejwS)
z6S(eux$J#$Y~65d_PH`D=&*_L>FPW$p1&Gp5|H5M#0)lDy1BkKQq*($$x0EWR2m5&
zr_hGq2{DM)^va^iDf7u*6Q(f8H!;ujy}`-!5fTNosaGtVdiV;V7@xm-*FJ7{Ef3hR
zNJ@Pb6Wbw6P)j7Io>F5Yr>I|)AOJ_o(cb?BQ23enM5yV+!jpGG_@5aX^(~l+9CRS(
zIQof3AnI1mJ$)mP$UM-uQx957$`+ol4bOXg^<O{Nop|sI5vR$QESx?(yXokus9<4z
z2rQ8r8=j@eFfd53T?S{9RX~T6-Gm>yw_hnq({?}3bh;HuAm~PgTil-+2gbKkCr5IU
z#}wHBr2Mv}*}nFro#!zg`}+%6q?Q90Mdf#b?5YngGhQV^T%|)n_A!8}C1rndBh)~<
zOg8(neWT<oP8M#UBW#R*5IVb5Y%jYpU&bHTN>ZM0;MLY~w*CP!osnVp*5Bi)8&&5N
z395sMCrJu2ZG<M6r5hB|=3-t8=NrzeRExDnlSeI|Q`jg3u&SJkp^-Y!)=Y^tv{a9Y
zT?dnh22$B`ea75qzJ8}9Dn>?&Zt&eD7Jwd?gspCi`;H)cTY-Xt0^c^&-`_tpT*D~V
z)@SyCD6xMo$z9+(t==IV1Sw79?JRXnFLQI}*R9<9xau@2%;hO-K3dD<`F1`bYJwsx
zGOC;^SY5SIZqBBdaz{9a$G09*N{OicQem!NVjGSXbQlttzo)$=G?oy=!_JnMQ|DWm
zqPtDHCAt-7NS+Hn&i_hVdaLYZdNi)`cNFyb<Z)rF_uRIaG$>s3NO=poxh{)~qKQU{
zi3wpWu#<PLlMzyCGp-vN85$Xgc5%634Cs4r0}2Ut9^RB)a(PO$7N_R;@@R08Tr*{@
zV-FLP{m200jc4a;0Hk?sbP^$vQ<-+j!dVo4rMYpoT}ADC&(*fXa4r~n4!4951+Yb%
zlko4=7mW-J4ULrHkf3vY?_b%KYTg$e<{F^Rq}_#5$9HwD`Xsl4g5NeW7{l<%z`%ge
zfc6J?WOq+w1^4&vf+AFliT;8rF*1^C-h=_UIaZA4inc0-29bv6ilJ)^@2`jb1w)S&
zO(c&Ml2~E3NWGEqy779|jmU=f_E7#-w!{x8I5@=r)C*&uvn9rbE+;}^UGP}I`a`UH
z>!0zzzz1rt>5c2`%icfP<<EW7%#N)u*PUIXv2K_{nMp=nPkgDzm*`h*Np~m>{^{L$
zm(quQj>`1LG%xhONmkQF-^QLq?>;yA$6b6jdqG(hIy3ga?vel5{d3Gue!x&Dtw}y;
zMnBHqiFk<FXpA{vV$F}l@}ehb)9?Jls`qPH!*%ucowDxR_r7i2o~xhU9UDj59iy$9
z)V@7xp$+^6h((<dqGFN9>_WYxx^kkb!<oCPFkh8~k%=Ll)rvKKui&bRitNpaN*j92
zi5t-7=a-k4SnEj)ght}q$d5<K>uBi7QIU%ssp*l<44>-MgvW<yg}C2T=EbswloV5H
z8eI0C$!IhO_3;j~#l?7%sfrAD+7uT3GyT+3lU2BWjkkwt4y#5KTdO+<>+LUS78ex$
z(i>-@8Q!43%>F}Vsq9eshs@HRL04RCgI@nwz^QCBw55%OJa?nQv2Os2Ww*u@26jC(
zr2xH>JI1~;6b;j3K{@+PUY~s5&~rhFQ*H@LD(R1lOgU_G`PUFd&jm%!_a*K<ocjxL
zVWQ4)iky2ZffOz-x2`9Fg>54v!$q}~yaUVjd>dSiIMhpdA(Vzc*R=NqEamys#<8`M
zdo`N$Y5;m`z75CL>A_<jc7d_c+Pk|uva8Cd-VNu@Jmxb$I%_`V<X>`f!~YDIfkN`K
zVb(%hQ91sziaO#*{&(-B@w@9m92EeA!2h#S7zP3Y4D-Ik_I=?k8af%9DkQn6DJllL
zn3`)~0x5;MSpgI#tBANt1Bb+%TVlWY4JD^WP<-L;|LK*0_yGP3+)DD<qBrSb`OgP=
z*ScU)DI+?#%xe`9uvcjDr|{4V7x&y%r`$JaaSTK@=VUUyJ{@D|4s|MuSMkE?BhaY~
zecV3ep<YyVL><{R{{U@<Ba0DN#$LkzQC1`8A^~SHMjxy2P8;8=_49V6#)*%6^uYuD
zn29o3<DMQxUr5sj+SkIF`lb$q6GIzm1!}yOg3aEMLotQ0G^ehFkdI0p*Jg28s^i(L
ziLq5LHRC;+;nLiuEumLBMs$q|DH$KP;&wFq>0=2i*U}gt%v*KQzfN1x{y-X;gR{%T
zk@B#1{lOcb+kt26#?oNKfRnoZ<0bjbgH9zeDQ4|Rpbt@xoHfp!L=4r!G0|HfJ-J%e
zqyC`w-mCr4A(8ZMU~KnLV&N|kRAR_Jqedu5FQ>?-sMGhY|1`BEK6475h0^@Si;DNB
z5xj1p$FI*!k{nah%jRF3-nL$*=rk%4Pt;3rZaJD&oe`p_{0P@e<7X4u1n(3IOB?8T
z9a6pMWGxXKy)&riyOR7P=1X&JzE|M9WjoRoH%rPsS9jIm(M~{PAH4CS7k$vmlrEd~
z)^N79+b)VFe3N!#D-l-YpgaCtAUW@)j7IO?`OzY3n5jnMjb_v(i_H^Ft(t8>^%pYJ
zusjFC+v;YjM0fatE_(U071Yj^>4_kV!szhX??NZs`ae+cX&#H6?pTyduZD1ZBiFSz
z#~bzK?d$Yzt@0Ic>f@(<6>61n97oqRT^L96Ta=PY9%pvV6pC8|?+@kKyJZ?Km`DEz
zvkLCt#gB{k=UO=tQp}5QR*ZaDnwL~Jn^9BMD`$+=O+Td$k7#!lE;Dj%CfM<d^;MH%
zU6Z2dTQ?6~Wt!fWjJjP*COYs{udIANW8egZW;Cvi6$tA*$2@e%&Zp2j8n(EhJxZOe
z>ATNVb}^27VAe5=%N@AVNp2n0l*G}Q*$ZL%=5<>VrZO~5Od#7@-qQ`ZYTdJ-tGEsH
zsg7T+_7h?*JDonU(hl!WjjEiN?>i)21xpD<_17&b8j`a|EUHXvk)OHMs$M4e)xn?y
zCWO6+<>=7lr_jz8S9j(h!u?Qt&L~0{=q*}a!@YRM6ECnKr!U>FzQmR7O;@H)(dGRM
z{GrlQ31yKxUJXh-?Cv^Jui!f_RW)?d+$q!4F5zOajI8#_YEuYt$bTSwHAbMyV8lH{
z(5>!FsGwuSUjN>~+}4nI!CSS~gnoL@{5!Gr7zxGhF92q@W3z(3TACx|7SE2JCMIdB
z*o$=axccF`uprfl`9`%jV;MydVf~slRe_sa&gCeN+r&H={Nc;lFxvb;>82{K;E*;l
z8ZR&H&p~1Q9IKsYf7n}8cU4s-CfdF`dY+h$x=AUzYVqMiHNNt*+$|Z6B4_5i*7jT}
zEZm(?Lp3ty4)z#AuQ=hfGqGvbs13m}##<dnKE6jPUf)ji?&QL^;3CDXKaov3g)84G
zc-`A>C}=DgCekG6T^p=ENmBVG)nLJ`1Q@q-G4im=ogazW8%$U?94)zFW`w;kHf(lJ
zDh*><SlDoLVfh$l97I{Irab2w1x42hFO#WSJGJ+k709kHr>S2XB(J!Z%wJ0{9zF&b
zC-E61FK@sr*%ebi8=?jKIIS2BNtayKu5g5AT&C~azo_<Fiw<C<_PF`OJJ~DcQTktO
zdl54VH8VE(U<}t3PO<n7e7hUCEPzvVdm!XZ%~J=5Y!}WX-|a`PoJe^kv|5IR4&%>%
zPqn7=G@E%LwASMduh64fOC`V1vQp6dD9eOw-?i!c!&Gi7g1hNVBj`K6{aazPW*OvM
zRP7or(Y6)$&1lSi?5$2yt64C5EDxsa4*`bN@3pRLXeB6*$xpKASxFs)9(BE+A%6Op
z^;UdhT2!|eQva1WV*h9MmP3{~PfYHJS{##U_MXF8NS5DDS>l41c_5j3QnkYt+nbZI
zKxinzqBuk^mG`W#;oj_~kx5bKL~jiC%s@--u<>Rn+k<c`n$1(FN++mHNj*+1jzh6j
z3C&;yJ>lrt(djsi*x^NI_^GQaimohlMK*JtKjooQ(sm<b)$@#Y@uc>^2j^SoTVc2R
zVn0u*1;=wjR)Qr~zzX?qEg$Sq`SzOm0qs^-Vj`??v7ACG&)q{gy7U6aumTSsPu3nh
zeuFW$z6-6g-BGhLltA?TAy<pA%nmCG3Pd$F{y1R``pD1dNlKT8X|rYTt4&M;B|WB)
z8Z$ey2JY-@u4JWArW)5dIJo7vuwjqA-{5rD&l?U01Yg}d@OC%E**LGuTXa#?tNay^
zU*eGUaYA0=Xg;O=X7@J#&LB8>uiJzz!B*aKkKyA$r4rQCURP>y<}!_b`WkvCnJHzt
zK>3>=Nj8;ej6>9lTrH7l@vec-Xr_QLMc}A2g$m^%$&2j!ZjP*O)6^b;JUQppm7LlF
zc~N(+8x@I`LVdBEF?exrEAd3FC)-IS+jy%n@oTF$-?lDu&`)?a+v%dez$KrnfkLmL
zba>WNhP{Ee56)bSbpxZ>kt}w~bXm!&_UBb+Rl=j728$8J(rtw<js(BR(b>fBDMQv1
zUWRh=Wm23?%vT9&_*nEMk-xDrkGwhNhbXW4sLWVx`->)1-pbtQY(&eFooDlUBUs>_
z_&73B4=vbRA_QIx1E6Yo1U4OQl&;A-O4kUauNiMLtL!8ts}R)2Hva+;vnnboDZdr|
z0`*7k8EH0+%-tC5*m6T$i`QnTXBt!cG!D#?jjSi(1^4cW-_Iu#mwl6l>{FPMBeOD|
zV=W1e6fKnHldcqTPF?*<s4k-1vV0aKX$5Gl43sM};B<n1#c>qPer<>n{nkU<huBx|
zzhTWaITw?tZE;U1(Ia83c01czcoV~z>QMPa;8XY}6#JcCUWVsJnt+Md_7z#!_%iRr
z^?iBS-8}E=`FEK;mK->L_#WGd6QOR${YV)l%3CUjD01=H#4{;>G@Qk3f%KYj+PSze
zruPO(O7^FwN-nJ(F6%T?R7zL|=%d|~rWQ++J7g!QPDqW<tT8xfoN-H6ND_YNba8o0
zb`s;4_*N89tO^#u{2`$lFu?2cS&>lS3Em&gDHkzA->j`u%V>=EtlMb6el6E5)ezYX
zqim9j#`yx?Rm}}uE5Z+s1)=bk;6yXKM;O6O0KtsX3;o3F=5lvQY|N8x!KkYdK^N&+
zo&Jr0ApnEwid~;wNJh9Yk-`lnzZHAf7j3n)6H}&ob|oYV)wdA+gbu9;yY4lN>64wj
zge#XXdO!sxxy!9DT5JLyCMBO2#oq8#!r=(!TaL87(dfYZl}dFHbD!#i_AmeR3u(>x
zTOYTjk7o2rJkhS7;L}>_H$H_Zw#3MHQlR5*YBceVSKhvR!Dz5>0yk4KeG~1TI9`bU
z0u4GjvU+SCMY;Zws%>Ogv&Mrd+6~H~g9TZeUXD!>Ilt=%Uio7i(=sMf7LuEJb4f6-
znLH?KyhAqJ!}e<MZ{>`hC(eAZ2z@=6P0yr~3A5-r<#bx;XY26OTXbs@jy%~PvCo`F
zhgsNLym`OdZ<eUR*YIcjA2eMBSQ|~Wr2?h6yF)1M6o=vv+#QM+cemmWMS>KU0Kwgg
z6iA?Gkx<;7;_iL<-}_!R*(9@HcK6Qg+`V${Nw<c9>WRVXFL#J)^?K7kq&_L%@}2S^
z5!{Wt3ay03Oev0940wK|JtrS`<J!Evj(38yK<<cV&9_XojS)k+?aV5=%=E=sdj_do
zK)}Hy@VL=fE1^IQXgUnk2WVopJ{;*qF>PGi{P3igd#}b3$pn)}3!FRgV>vAG-XGG;
z6>8jPeJ_gs@k+wCH|HNxt8Ro-Bv9Zmj<8}jq2hzaPCiT(ua{k5r#ffWSfdOK8Og09
zKhZBSjrZ`}-aa0ippGuzSr7;gYhi=4&uHO$BoEJb{b9D7Ow^G>%ST;O-G16vgiqf;
zy`M{P%<=6^?+_wpX_95BEsmQ}!V=<tj`DJ1$)+QiRy05p6Cd5Tz9~+T%M<W3ScZMD
z0Sab_d5Pp38yLld%y?NJ)Rx<0cVa~bFkza46@Su_^+indx0noBBfGDfx@&bIhB|&*
zVH3YaCuk>hxDEA&^)KvXf#I<8YYHogva{m`s17VDKc-ws==WG|n)3?UlXN+<(rZl^
zD`v&Y()Vp9ID~H%FqLmYmYS;-vEu?!1?lN>8+c}Fjb-v_9$e9rEe!IG{2^F5uXM6&
z&=G+5iar}r*?enB*)jJX%bkwP&yxp_q??V>X<m|#H-F9^AM2I|i*nvyYuq=@6sDRL
z5wOEHm`Bk7*y>%5U3hdcwWUOjvYbKhIn@iAC0F20w;I%9T3~|9xt03E2`xJnF~faT
zj+;>wh37w|%R7{8X^86sCWYq;oS7k30<9lN@q59`QR~E~^*va?(G!i`)AJEuq;%*5
zfwzLrbTx{9s;3nhifaO#UDFR`Kjipb|4K_wcTB<NRP{df@SQL+Dk7`D*dt01pNDtL
z%6^EyW>JGcE$kNw4-QqV9r8?NMGev|De*<#|0tOn4?rs|v3|N<luBfAD3&Ux^b}og
zQU;NYvT6LaD8MBd;pvS+(E`0=8dZK7lzYph($74ct7GhJEQj&2GsziI`~g6gW1lF=
z`O9o~B}k^L(+GO_dm$*O_500l#|f%#QG(4G<}>)Y)pkZio_wse1C>gnL0#e5#-%p3
zMM3$PL&tl?5yLAcKX0F5E1>Joq6{{ZF}K!NZAF8VVM)GPhuXPTyDtDTcMqUmtIS`)
zZ8r*K$n%<1ps4u=#vIcVSwA+8TtM(Z!OF$pJ?EIt##zUxkZp!FFv~<~V+L0*I-Od6
zenZd-tjq5)$CgCYWm0|Qs>41?enWV#GsSvQmPB7>bzsVy*hM(l#Lc<q#Pp=(IvJE;
z*OILwh3k141Z2f#Hi}5C!B*3jYvE`5vDRNkOemUldsbfpzhs81S2P&RrzW1YXi@dj
zMWa)HbiN#@Tn==&+ECoRYCm6BB9>VqzgGUyBDiuqo6C~Gt&zK=H$c&N2eJYSR>?p@
zbf!2Wb+vl}5=G=><+OK4Zp1{hi!(DxhKKMSSkq|=I0Hp;0j3`azCbkfoW5M{SG$gs
z0KxUuptx_z*gNOw-rofw?QL4f4@_&<QsoSdZo_mn_M^yD`i};5z|yoN(T`1L_W<E6
zLRLWbt~Qt$bq~}@aNq|oNwOE?nR|J!lMV*@0uF)CXm{{DC6Re`7+JmD&^42rz{H<@
zt;kCzx8|MvFL^?SKxpCUHQPU=e2;ZKB`Y0}Z^aOSu9XXg!?r8jP6{{jHb{ec+Er^O
zMB^+tr(H}J>L4pPa*$1IN+eUMbHVAXyF@>rI6{b@f$?XYaDBHsdv|BqUa>7x%8T8{
zf}|1d)95`45wK0()hIlZ5-jMR;xU+TgN3O4$oFu&sPkK?0@YBkh%j9XP7vCp^(cLC
ziH6pprE{}51#qlwcb!**&jnqCaeCYjHNklW0-R%c)~o<jn1_gdad{&s?_pabtsv8+
znw9B_!VDU06rUhwT4l29XRIP50G_jT&t=hWd+=e=yJWZs&nwA?+D3_c=Jh@oxL1M{
z)_>UFFjoGMNFmkg3q#ZEP;KE4{oD&l4V2MSLF?_(N$hY2=J+*#K!qpN0J3#!$XXL`
zeOS+a11>~iiX&uK0R-pOWcn=^oKMGjFvE1qXe`}d`W|`JJz)J&<jspthXo37zE$0b
zuK#e_x@~TUX+`1}#=IGxGwt;SvZg#e$`C2A!YCoa?n>DhG4SSv(HYC6yKWCl_9zd_
zV;nAu9lrp9QK(7;R&|;8EVH>q=oK|_Jvzq54PoPp|B#Bv?EF$SrY;`UI^?F(nIUHI
z)n3MEAu0TpT+@zZh8hRk>0cX%ij}TSt$S&HBAzYz)~EukK=+js)iMpWce=oCdtZCe
zF=8(_J1e8QpTqoGV!-svW?(zZaMzAYimc@bnWKn*dH{aHlAG4T7dJwNv$L7swL}vf
z##0+RK|5dmA*IFV32V5QtFG2M>WQ{_K^Jb4pVHI0CRz-haUX^L0$sL*DA1CqS4y1k
zbJ_W}sEEFsUF8b@Lvq1>)F7xXqApVTt12NKozW#K9*y)5X=!QwNTY29o*pa&YF9Kg
zsF}OW;2BTLXBDu}oLC?s>}oWXDJu$Kt7X&7lS}>3FCsnD#NP!-K}+e<BF0(PVdfpn
z?clnh`S!h0K1cJr8E@pq*7%oZSsm!58lUTRPI>4C@OVu#QBjx!R9NJx6)6xE;p%Ws
z$u#>IZ6|l>SkAO@30Zk$(_Yp-l;!-T9`0?h1lbk%K#=qIj9InCZZ<Ae5E-c6|7h|1
zsi3J+%bwI?$vsk>7-P@sX5`mKyANaK7OPH|OTg)5?sG%8eQzp@dD|&(KfCB~Z>%hE
zf-JZk-Q|k*idj<)gRTcPE|y}l7Llr=MKu+Ut6@o51>~4bXjg)raD^17m3XuRJAIpS
z9_VuM8=>3GQwgGD2KFY>2n6OU#Z@n_379w;*Upq}rj+&}Tz9)*1V*g51*&IjV(M>E
zHR0)?P}AjLEHPv?u2MbWJNfgS@NjZ3fdb4{H~GA%S<c*=rbILZ^2uA8#c@ww6|$YF
z*dZh%VJw_uXt@K~t>!6g4B-j?3JvlgR!&GvQBUty-FZmakF=74vc=GmeLJ9S6|w((
zGlDbWm3p6x_tHDLA*^a99knWteKJ=3oQ*J4C&+DFe{Iy+9BKM1#NTwW8`eFWO&G?H
zGP>~zMw;faRtv@%2Qs%%5Yj$m0nn53-vu@`&X=>eoIDyQkR@bLbQs8$0RnEh{r@No
zF*Z9{87xYf$YOA?m&Mhq_$TuyQMeo8R;BBj3>khO`rr~vTpIUnf?w!?my%`5!^eBz
zyI?;3Oq>~?n`?MZSmW%bto~nNGfnh|(d{_&MaK=D%#0Vujgn{7^sOj($rXJWVHuS6
zh%TKjjfs6k@gGt-?+1HipJxC<EoI14YdzfD(Z`3J*Z@r-ZRf!}%N^fN^nEqb2%ZYQ
z)_*fma6RuFKk`dUzYUoXobJD(fVA&r-jTt~+ZWQxtpk;8WUs7N{~_^IP7#*ZTIJRP
zOD4>;3L*X6jXhgA9BWZz4(o<P+!YW*lY&E)nLG;7_F5tTyc5Ppc8tMOR_g#?_Y#rJ
z-uVn@E1-eL2!B3xmJdkE2dJp_@8S_M$lBo3uVH_$xcd(&Pt)L=T@`_yjZ|;}#u42j
z1!s!ZZ4wo}YVh<?@WiH2yPvR26EuE>gINNUgjJ4?1|&-7OZ~HllG_CnRr-+K2ey9C
znIp*QZFb8WmTvu9P&|Jsnx4Uf$RbDukE4ZQx|zzBWGnf#NzPa@w#Hydy6GS552Xyh
zdJiNjz>^5<9{@lN`VF;r*o~`Vn$#3rsMgSi{6k9BtO*NL*3LfwF<13`lwi;-y|4P{
zI$E7X-SKl{{P%`s<SnUmDXPheNfwoiUgIwxS`IK@oE|~mSsEltZC`7HHd3p(;Ic8N
zS!aT$C;j+ba8dQnIWDmj(ySBVHj>jXb<dOO9(N;Ns+*$lycG>$HOm5#T92NwPGEW2
zD-IRY&k`JNLJJ1>vPmj_7&Q#cB(KW$X7>X^R$e;NS>?>0_(ZUymCPsiwBa=n;c1|#
z*qY;nu!_LWw8^CvU4v3$>gtr)eaEBlf=BOoc9>|rh6#s>5d`guF-JecEm*+1*vjgf
zBc{A4CC<za5%yvsr~^kDCYeqYOz71dl#Lkk1>cCCLV)Ouev{o7^o;VOZp#Ij8Zc;`
zD(-jv_2&v3y}Fk?W`(WtYVBaQKu+wP2|eGsYr4|Zupjh}tI<Es2)_SA8fHz&HT(kU
z=kymLs2WOHYT5_dE6&*FFG56QuVhs*KX2^!$u|rt+NT&)uZ-l1Zt;I7fIAhq7r@dh
z9g3tXVbZA~C4wD_%q@f+19gXEnHY7%@mDNU$qzDc9SC)EW_e`U3vb9-@Jzwu7tY9u
zk4+QF(|c51!#%_&TeGdP!xfc2nRkK+NV$ftbx5D`Cg5cyWSMD2H79-^0t*56!83o>
z7zro8Ua<MSaF$q3%$blx1(Fxkv(M`m{*iB7!xo=9->hE_Ol-y5*ekfSchjll3?-;;
zWMTT7!d>aARwTvGHDZg+>QPKM{rF=D(syR3ijKt|Bd=ibjK;S$`d;Yh_eTydyzXNw
zP9Dvq$fG3yhc%^yhDsF{(OBw@tR@AN*`@_=D(<7tB$%Tjp?2n1TeHCT#9IlEz!v@+
zRq7b;z{dHW2t5sQI+r4^F^leUrd(UB)kd|-4}><~?{W=cQ5g=~!PA=(@G4Y}o~eQ0
zG4K~Qoew$gv)v2*qXqA(v_ey%2S)3z&4%^`<GBFuhUvsPt*DJ6YZWR@J9#wv57w$`
zo7#04Dmxxgn}0_R7t%KZfZM*Z#NnEGezqw)S`jYA)F(49HeNO*gx<fZgs1Ou!K$N7
zMQSGpUL#x26A8Ag%`MztG&d|sma;C%Pt3o-`e#n@S{O^>_WL_!G{;4<xLFssH&`L*
zU{(>ymx!e~I+A>;?h~d?b;I6C75Vx~Ts2|=_{5>wVelzh)<)9dXq$VtP`j-lJ5YxR
zz>YTSCY8Qyxm2<0(-DpStV&0eaGx?T$Z=P9CKwC!fz-x&vH)`l@)m?1tjY0;R5{$j
zlXu`7VDfF(SwQr7;sb8FbNw<fL)2kiaKxVPILAzK!Y7?ng`r87ES|ZD|BybwIKlEz
z^f1e^Tvv+3HtEk;n3I%G+Tj;A0nrK8M((*N19=JTAHZk%_y3SMeJrD%3$S@gx)!wX
z2QcEU*SE^U>IRs)EmL*`#+YXl6Ok>J`KhLe-UH_vJH+W@%6(R0K-H_=tuw(N{+W{y
z#*S=vQCSjs;#FCXkYSrRPo|L|e;-@C%FRn&zqCY<@6x3w!RB|XLn-dG$&&HdB@r}@
zbT9rqaRYC`5tU(;wI>igt7>c?ygX1vsVBTVk4dW7a7fNIt^0iDIixQs@Y}Yb^DwhT
zzg}kR2)vt+6gnHOQsqUjC!#+}*DWElaI2FCY=mYgdQt3zAV*qnKsB2!b+-={M>Ks{
zS{z!vEM5B5b1iALikDK7+|v#@yx?wge8HC*vcNxFtP(p%K-J^tXr-8zX9GgvU(VXc
zS#VF$k@T(Q0fLN}1iEuuHx9bGXBE=8Rg65+L3M8jIoIpLu7wIkhma@gZrv_D2A<@n
zO#5x))DHtX7v=l@-W-u1Vx(kf;PvHBza~n{;5s+Dco}3q_xQOjHnLs3A|zji0~Sbg
zMK)-ef%@QaNHlVf74OJEr;zh#t5HSmD7^<kWJ6}8DobN{V3lUBb73b|p7t0{vwx~<
z*|~?zrf(AUskm}F13V*Syh10UK#t`m74)lLBh8S?+9-fSR+xWB<4elOA$+D-(05aZ
zRgR}M2RBewNx~^lz`|hpFllg50lwT)YQmd20^zWJDB?zAu&Z7$>^?fCp3Rj-5N6dl
zb(YX8Ke2DXcg}JJUDzFp@37yZh#KM~3QGF71QW~o6ORFzz3@1!^zBv39q#0IRua4+
zV#rwJ1k9@|sIwZb1K`JhNJ5&?U_`M|Y3xW6v(g+QToPt5Q{tHM1Lt{DYgUAJtS<IT
z!lk$Hdo$MMhWs$^j-@^;D>Znd)xnOAL>$u#(+<&Q0W7WJT)=&T)23juv^|7Fs3WDb
zr@wp1Vi!C*+JHehmdMLgTRlX<rF*(zi7BdkB&5){>>f<SW}LM1;A@fsk^1<{n13sv
zJ6gB2?BO30QC+9*d`*LqMJvoHZiz4sX3?Nsslx&Sf)!-T{6d-zw32J80x`PS+>5l?
zv)wmkp(#a4y7ad0yu)m9Zr0bhZf5udU@L>nOc$)7#)MG=$B%+_4IU|+6-8NxqQ8nb
zN@~bgf2HNX1T4xp&6rg@39M{*TFBR}5Z9v`0yID}_#bj03@0XqP9_$QK_P|aQ|PP7
z{NT*;#4fhqKYo1~9grYnG40J(WarS%XdJb~b@QZ-@+ZfFm3Ywl%2!-P$+Jh8%d-T;
zeUSOq!_fUluO_#HPBWRmAy7G<UJX4)iZ~7@f)-Uq;oFNMK{-(=FvGQi?^ra_9QP2A
zf=7vnBK{x<GDI_AOG)rKYZ&pSeb1L~v9Q<K(8!B-Xl|enW9yZ6`vAGNR+9K(ZFnjI
z9T3;cboVl9Zj?0=)oh7tOmZh&@=H;%k-CTWPZLS)_zb7$eI$QDw><BiZ(Fo{R8Z<W
zQn_NmU(VRF*Rx`g?r@Qb1^;DXx6+YLZ8=LVPtV352Q7IYiDLHGyZ{20@B~NH%AvXV
z(CXoUgr0h0caJHF!aIK!f;)vl6Vp9HXg`Mo!xgJ#k{xZo!B~~<)9-zUBp13o)QkQ(
zT2a9i6$1nP2xqB3lZsZqM0T~p8pcjbBQhLa_hlW}=8ISlP4#Rt5HT|1-;?R5779le
z`(m+<N)~EGVsSZm^KFv+g*PN~i<W@;H7RMUHpGC?CfJ&1a>zb1*p|uTtE>_xeZ<xt
z`LkR2B5VEpQQNc<VGj9ktLJN`$jWO}nVX^GO+VPjrRM2T+??o6yQbdbK;r&#i!59d
zH;<?yqBu+R<DhCe#aJ<S;mSCefRi|zzSHi;iDqesQKld1=1^IT&-mc;+m%jI{Rjks
z2S?1%LxdM?=dYx#w8?^vrZ`B(JInZ6(m_Wz{A;|w`1Re>tG~mS`UmEpif?5iys0}S
zJdY3n2N&e6`Cc`mA2CN0V@DF60hpd7H#Wf;LY_99n%VNpOplSA1I!W!1k_g{ef>($
zZFhot&qAEpD*mFg&WND7u4{VWT!EFg*~y2C2EBhs6$SeU+JL`GhkAy3h`730!i2#2
zgvfc1JXLeSe(==o)T7dB^4K#t#29<gJwY#9#Ye(U;ucr%uhDJfm0<6XnN*u0!a?pf
z`1Y4M2x#;IrdrcXwn#iTPaF}r`c&E}18$@}DNdU&Z=|jNfop``@DE9$Q~wUzQ^`{y
zh0_o5-ar?S#;9baWD!6Yyh*g}L*GFOYi~O{;q6#9ijg;GC+tF)jD6j>oSp%``f_XL
zJalI#k@F{FgHfG%Q}cINi|>yDML9Rvhfh?zWQK15^A4i1H!RL^d9gPi<}>#HTLOxW
zpam8|h$iRQV9g-J=3vcoi}L?kdcY<r^8wf{?{0n|=Im2|Z!gsVDV<CdcY;-vl6it<
zh|Rzw(IYl2d8q9y!1qQZC_7-_HtM<P#N;9J6z4YPMBW`6g83@|CiV-5M%scLm$rf0
zGYJ|rEq;I*bM#-syy<=`5iDuQvSHo`9kDv{7NLx;AF98hg0@l(nLDyaBHGxK`Vm_Z
zUy_E*kHn(uZx|FZ2Ih}~wJr+MkHnrx#uyol2AQOAVq&BalOBhTlYovvhK@nu8{MZ^
zJUXJyWrP}_`4o;&HMqFA|7jaKX$uAg96A{(-2V=Ui)$|X#ZqAa9<{@dcyTleS|8_%
z?_sGgq(2X8-6BYh$~lV=To=Q^_#f_+tL_{(CEn-CuQ$a$(Z@W|^==UULqe^(lXV$j
z2`1G#8-9%Fo;E!|OfT<8j1%r;ccWB52m3JgP{;C#57nMW$MWfB<V`>xti5~d5`9&I
z`#yOh*u9Dc6qitSO4y4NeDCvDLWKE5x>$rdJ-IUm=CAblZb#bm*YgzOibnWeB9vXY
zcyCd0=0jh<MYHBfQU2P+AVIhuAycMB^QlY*(Ta*ggAklS=KoYH9qsA*npS)Frug}5
z28HLWo(Q@aU!x<L7{s2U8|IHU5Pd*$L-Is@E)tZ`o4j<)o!o~@v}W5DZF!M$EAxOp
zz*#?p*uB}n@y60oO;0~ggttgg{u*MmjyDG-Q277*?V0}2`V)uIfCMsb!-;%#oE0i+
zKpsNm(+z~wB6%>xr}bfcMul&;R9njd&!8K<1v7J0QzkRJL<~#naD=GA2Z-}H3w@0d
zi<hlXrp5e?PTmbQ262P<6slbIDHInygy27Yo`Uy?-sfB7TSUw4%ns|I{B^<(YcJ3g
z$%|||%NoXG;E`$jue+VahI-=>cbQa@L5YpJ9h}Hb#Il8e{V?Mo81)d3S8xBf=IB4v
z4-zgdx1<J+xf@MrN)cB>-_+Up#;5-;Ig+5gxUUHM5N2#vcsBY%#1(qQO&9bU42<2-
z1OpQSwIPVNvsAEOT^ZOHVro{HoRhg8SeMy{ipUl20Hg=5N-I(TKoAQ9M1!718)7EC
z0g!p1=HKmt_m)1KVCS3-Qc>4rK4H&kg5^gy=z!;%i2Z1SWfB5Q>-bs6f#>c!_w77S
z#vQJK%N@b*!Z&yNjXOe=t|WfmDQXt`DdamG)L|$*b7p*q1MTjNW^V3`zVKg1!+@Zj
zhk}hjaeIb3#K9WqfS@bwihLHmKT4S#*k2z`j63{-9rioipNv1pKbTeS+(S$er-u;c
zK~o!Xs@GKm*VM9o5eDu%&$4$Nt|0vJ(M%3DY_<-!2hP8B{M0+vz~s0G>goqnDbDzZ
zJ~=Mi_4a3s4p*9UH|x;{>Ww;Z0>so|1R=S01zykhGv7dJNz}&m`wllhrh#>dPrc~t
z^aKfC?)IXC3z2EZm4>6(`{SK)D^)_{`Qp}wwakNUykF=X_0D;^^x|Gnv@4!%qx8PV
zqWa<O+*|nSeGR<|s{lksDO=c#{0X*>F@&9ylWq2+tc;2S1hO(Tm^L0VeUqKRQfvMh
z8KuR|S+8_T!(L|5jlOs>1puUyD;9}MB}?myUfw33^YliXNy@~c_C{&|f|LnS-u&if
z=Ts=p@ZnMspEm+Y2S{{CqyKiBaFnz>#|cNj<R-PnE27@RrJhYn{~jvFU8fdh)|vG8
z!=X@uu`UMxtDE0rJ!8*Mdtwf8)H{gTe*<bJ3k0zaZ-V_^e@I)uxD(|@bPE|$D=qi)
zKr0X>Ii})sa`t`pK2(x_jLDu&nriDS%HvmbZYU43|B2@rKT4No8!;QCaMSYLkQQ05
z=PxTzh^r(;-9a{*f|ePE8&5!#zBTbaeH2h6QlcGPHpN678uQH0IzV0X!hP0D;OlY#
zfSn<RA=VOW2de^&zzcb{1$i|?<)^l5W(KE*)juROpjp(RAr~iURrVBub)~MPG7+8f
zmgAL{Sjv`By0NzXjES^Op<V2>qOs38(z(NKKwg>_{4ZrczW{5I<dFMFlwSpATdGF5
zLse!IX^&+I5&Y)`;V{b3!CTb(;4+4~+Mb4Uix&_u6dR)#E1p6?Tl#%4Qs~JgS~-3T
zM+?Dr_SzH;%PmJ-)w3KK%ZhL`>=QME#4-^?wTZXqDym3R_>`RH%U{{g$x{`>N+);8
z(^Uc?qudxrp4x55j;&JHBykfu1<==XFSD=-pPJyi7}@1a==wh-j#Y4GTGTapUZ~d#
z2@WBV*tj7@qP&1x?rqw#hmB;#l=4%3HpmQDJ#g8qxU1oT^}cTOdMz@OIlzX*AH~{Y
z4Tn`=l&3Hb*~S94y3=^9ti<vZ)ib@Jtv9e-GC(tZXXaiiV4oWlgARc_e>1Im`{gHA
z?4bN_+^*I??eBD^%aBlr%vLH~o4+H^bcQ*BxY`U5X=G?yxrg@hR~S&kseR^{S48La
z_>@afe}l=>Ap;-rHr7UPyW3k*tN9ttJFb+I&m=^fI>@G*>umH+!h5kHPk@slbz~Ct
z1h1N%2zg7`=)-(!7rY|nh4mrU{b??WxlBmzzP%@nG+`9l7NcGURIusu!f7-3Yt>ab
zDTi_Qiig!ejw(C1EwvY}X_3i4+bvo6$2o2-1Q$(R5X*EvBXD}Bt;hOf0<!*$1jG)T
z=1WsF+@kOcSn$vgNn8SAfztm;_4RCBM+Uw~S1^4P$DkVz7PnQK>dyD-m0MipRrf<m
z3tk475)I1-$;gtgKDevcOQ^~fA+C2Rgzec04de_-5b+#@9=vMon!7aaaNiuy%N;XJ
zh;10rA1dwKdHdBI1~oQl_Idx9zm;Tz^cD59`Nw4wTH{gsPa>ftM?!()vx2PHPnK7_
zFe-7~4dqjVvVef^s^yokx+x*%gn@j6&|rlrRaBbrbP`=4sT$Oa1T%p8X-s>#y1wEw
zrRzDxtG;DbRdtRRloImro<8Qt4ZBIDly}u&S{L0z`sF@lz>=ypcx;I|p1H><Xt2s=
z`f9X#gK7w$!q@9<Ilq-I^?Gm_BEV9IeYxBYwOF2TEd6-PySDfl9XeL5-_lpIglbr%
zzUGkW^P1IX!U9-FxF6~~<##=X!ygR$yNTO*T=@^_1cN%;PX&wz31n*%&Y&?9O;{fq
zd9_>9%QHG@@a~zblEZ>?iHB)+pjU&Va^EpfmoXFB$$pSMcg*AFmYwz>C!un<Tm#K$
z5Ol~u#3p13*UDNPJa1)$e0ith!MrO0wa#*Mm74$vCeDz8Zs;U0NHlk9-@MY&sd_1@
zMeUD9;a1VTWm*<cS2E+~*}AV}2yA$<2eDZDzSpjnKI&)F4=?ce@I@+}dY8gD+d%a*
zW|{y$9NAWdvazMc>{%Uig*cucPpI(@GpHD^B-%+Vkej*TCld@;DTML8Z?=hk7Z0Rz
zx6Bojrz!&33E*Fm-#gvAT<m=DN-bo$RBCI=LAIy3xf2dILE~&s82<rykV{10QcU=V
zq#<Hl`Q!FbH=*#pg}p+5wcz|!MQQlQky`zR8{3x(<{PNT<$I1<4jD2JCJav3eYV2H
z^aOsVsK=bCc#B2nkqSN0G}bJ$L#VlUnK<Vm#7qmj`azbDmm-3qOIqtu_69r<b18sS
z^?9z{@Q+1*r4?0JKOajHRA-eliADgUXR;`flTH5E^v5-%-ciG%$5}s*sc;MDNNA<S
z>Sry|%;Y%wetUxtGkL~X_6cVK_j8sCl+dd)@;*r3iT7Eu7<im4hr*}vebl-~FgCy;
zm%CVhnz8>h_BgS7gr#mR4LUf&+y~ti9NIJmiJ(w><nc*xl{s=IRT{An);19m-Gx@Z
z>~R&f;S>5jE5Dk0RCBZ1ef2s38$uT(u#+4;ye|G7bWJ}gKgvr)*jFlWH1ZP$CGZ~E
zvyW7#(Y!{keS~%i-I7e^g1M6#u){2>$oqJA!B}q8ntb2_yg#JPBk^v3+dQ0vnp(1>
zF>@0(ndhl*-F%NQKYt~7v?jYxukiTVa^GRHZa9no9gKDUkbZGF+*9yHX8o6Ng|)Vi
z9XAxk&Jx+k_<8FwpAFs<Mat!DP0s2&YxCYHjebS|Gb5-NSCbjgXV>}><#U*|y)M0A
zj#uT&q-<<h`%|cLQOEFA!wd1i74@j0dw(B`u7xU1!-S$0OpA$}EWJDVgqHy2Z#&DM
zRv?z(aveo|6Y1R8-k@`jHNO+esvQmeGQH)GU(T5A&STI=p4>hpM{&7c^&Uc1<Xy8u
z!JE<6M|(8Z&DvUq#vuWYP}#ns7kwk@`AEF9S07)!X@XWMRVP>wwL?BPO*<p8={7nS
zZe3kxF}`V&hyf=_c8x6KKZ?<iOq2^>9U?EiVq<k9Nj}iR{#-uxi=&MEN$C(=KhSy5
zE3n-WjL-pJK~HQQ+P5qmMdHJGc=2c!UPLwtm&m2uWYy1GF&^!j^WxU}TQP4+gf|W7
zoyE`MQ#8GQS}@`0$PC+0@Z!ysC%#xm+dgEdw7=oz_5Ne@Qdq724=IM{E0Y3p&e|F;
zbMQYTKi%BL-WxM*L5_75+|H#}m|@!V96x83Qgr`l*-|lEh8ujfJ>|RTkQo2jhs`?T
z_V$)cX_o7;mXXGT@((@78ul@j4dIWNFRYHkln5ZxoPFvR($FlzvU@jqPm3^AkztuA
zgN3HeO2^AnPfBa;Clvht5oJZKZZU`a;&;me&8{Ff_lgI+j!@09Hh8xYiZdUR&xvCa
zf3`OvlgVf~E$o`xVb@X_H$3Y*=rl-aiLANn2dL~ls!Od62)&%DB&u)U_VZ(umo{%{
z$hFkQOuM998Z(rRjaB)|M_N$6(79JVx)0f`k)Rf@S*N$TMFU?C>Z<uNW0Aj3!tfEb
zTe=<MqS^b^7;1x!eNL@`%5DA386UqT25JOb!YItgO8q1Cj8z$z>qkm)3>3gE+d^5N
z%kF(R$&A~iG6~}ny{nY6KNa0ATfMu>DK3zazN5pT`i6JI^tB`;xHznhtZn54;9TqG
zhMg{f=<w%$tIG<fhWZNQ*C7ml3$tEJf}AV&_QJXD#WjbGDS)U>65QoE)uS}-J4rt~
z_d3b}C4U;TSVf=>$M7TQ@8}TddozP~eGjwLtduAm3hmrNcpq(}_|>?qw5as402R+A
zZt@QK3tBI&j%FLoYo75+9Y*Pi3{_MIh+rW}u+P@>SnugSq%TJ7w{-XquB{20y|k!1
zFSO<mPl&~##wOiH(WY2sA`13$g8^<8D-KOQKxcz01x6=~Nyn};_Ulj6DT`QF?<XJ#
zyAlk1;R9_PRORrG=<6m{K|7{<Y;fN8!O6*?ACC#YFs3K7C%VH>2ML?4rC4S^Hs$A(
zxoZ&)jg8U2;v^It@}!A;iO68K{S?vaL#h>Hg3(L!Gb{grG*jS+EUuEKiB5Cpg9jIm
z5>=XT3-LFWYErig9EqsH|E&JHQp5@ZG3BDcd`l@~pgel{9+09(WWCr&fDY)VT%?kO
zGpW6W>N?8~v@5o)4Wi~)#=0+~(hS)5&=q@D0&MSWwH{T0JvKseyO<oNH!`jts<t2m
ztWab9I10R7n&nzYrF<c3!mn*IfYpz>#%A;!W;4MoRMgd%!S>odm86v6b_?~@VEeDO
zJS`9T!dJBSqe%Q8=YeR;SJFR=;3GJjVLQHJ`tLfv$TDt#;vy~HL98sHH8E^$*LX7v
z3$K>DxlnHi9%Vl2&JFD9=eirbae^Z;xQ$6j`<pxHUz44pUI?EK5^V})DP_?vTqBH_
zr?vPqUq#K{7!ZqC3~d~%|39RNim!K(>9#<6h;*!$d@Q^>bbW*$wVcGgq4%55P26)U
z$24Ji3YC*}1uO6r-hg}cvMXHi<@m)G8!<17KyLy#hE>hq87aHG7TtFU8VccU$?D!J
zmwPQ4VCH5~ZwiDL<W`tjQdoU-!F1D5xb;fZS6p|tKSSN5qUPRjZYELqm5J<&KKFFX
z*>{C-@4EED``$aK$ENJVr+bqbS#DVb#Dz}yGi;DVsmtz&navh_-mdmeSQDW}9K6hI
zCmG&R#q@}ERfE@=%QxC_B*L^>#sdkBEYF2dKf#orcG)nCfAc*GXM{_(5x;FhX75Cq
zO&6fir|=X%ck-ID^a}K0J-Thh6gm_~mW>nIs|c=NuhTgAvQSMHo(|Q+K%3MvW(aP!
z{~V?zA{i|;yIX$9!(~14EFDI6lVtvG5?sp}>f&o5KG;WkixGJg@eip0A<6I#!cC23
z(fc0LjDNgUu!Ld0{z;Y5*pGl`tn?<!sl#>jeUz|fTN<mSfT!$d2|lza_5J*MnV?Iz
zDOExKAK8+6vXf$4=Q#a0%>`GxdgG>Vj+88`bdg<a*UN4<{~UX~@gR!*PSW5)7S=u}
z(DDZVMbJJes7d_g4f7Jufu*iunJ3XdBrI#QSl<Ea;_iGLe)pPjGoIGjsAw(S03WVN
zN4-)8x=%&zmbPmhe;W_DKv_k#DfwThv$S(8?f<0w9`mc)2rlW{c=%tBTcICcGYKz)
zk5-)nm)xRV8@jslUNYR86I$5n(F8iPMj}43@OaETo#vHI&I;DiJ$td)y$H5AF%PF7
z-nxKFh4tm}D-8(eslH5QuKZNLKgjrE;tu=^Z<_;FCs%%dsw7$fC1#QTLpoyIWT36n
zPl_XWehbhEb(5sddv5!OL_ZTFU@reg_oQs<_Qd2}poJEh@#7~Zkwjk#vT<#xQOyHk
z*>-W9Prp^X5YD)>27s5wo79HLgLUAE_(|_c{Lo(0@bwsDF3s+%_>J6(ASjkO%`FmP
zn;MCA4kGCu^MU7X?;{@BF1`{Rc5X%mU0dL7ro`aZmT*s8a@M`sj$zOG6B582Bvwm1
zF<%XD{gr^^+=Dwi@p>tV>-AsnF4!+QWJF=ekq?pvKdV%_FiFh_x%?j9z1OC$wJ&?J
zIt2ZzfrpWd*kijYO1=%HDarPU^(Xyd)6q!22Fm@o&wphzL^d%m2R<c#ug043%$06f
zaAj02c?Xp=SIZq`l)W-%|9hYAGKQBIMkt9BpWHG!b(v574~gHej+i5YW53>2ui|IC
zlcbj^OPji|OO@iwx(XdMf8GYAU%yU8ZjLQ<DcM{5_ae?u>NoX2%K|Xf0%+|8-(+Sv
zR@X?mznjA+=<v-epconz!f3wR&W;O@gPrU7#{XJK-@N8Mv!^QZz@Wsib;Th9#pGWT
zM3ouA7dRXFv)(2JDOGP-LOM_Qm^J<(6$-{%nWV3&wcB8Q4WD+t57XoLbekIGKKr#q
z1OY@xTMm1+G0*$zvQq5dID$QY9IwF>lIjixs=rLRk6K#X!b#w?U1q)6iMyPx--d^y
z3@Y&&vANkZi*wFN<_Huw9?TFt+rUuPAwDeSCmNL3MsJO03^sL-IO~_&)R_B{ULyk8
z_0o$N42vdG3|V-6iQ`VwJ<v^U%M^ovP)cUI*6&YBVQ!z4Q7vMmc;0}PYu`9tKrAXT
zmgIe)wBA438nijNB0+>R*ynF%WxpOK8T{ED{Bz#hOlj%#Y7Gmc%{cuBZVh#_oG`n(
zOCtl;iQ&=hB?`IYE3^Rk(gsluA2#ksR>FgeHILWj;aB%Ln6HnGUl=)+HpOafauDd9
z4tOgnD(6SHt})g|6U?Ax{zftL-6!Su4-E<)=v{`-b7<;>o-Jb-T-=tMt2VKhH}Zus
z`Qa-bho393sI(qp3+->Y6WLUqT~&KAk6kgU5x{P=<CaSFKM_@U48hUkAwrvAd0MEX
zM%F3r%<B`@Z)anS0=LS>2D^9_sG9_&0SC7jOpXe&C?w9JcO0>nhkPdfK%YL0a`%W`
zC&5j$HIctr!y0s6`HUy8Yu7%MG4klm3yx+5bzVzo5x-%LFW(@Q#QFrFYWNaWw6<=s
z6TT>&{3>Dj_ggeqL7`r^vabkaWLAQpJm`Wm%;u_fo>(6LwK*sEyBtfD2?4k++}N*%
zB!=3)g*;&j#o%RA7l}WwXV;|?Fe&7)%*I}0v$v=D?9CEswpbGQhE+0wowt0GpNiM1
zJztD|hFua}a0-)bkKBwX_Zv%1@_aV+MeW`z;L;;6m<YwD-dv7l_I;k&aHeJOv@0hF
z(?0KWdib2>0YtN>6ZG_MI*%;gkET6_G802ZvV;@I_$~KueoX0)?>IF~x<GyBZ<2|M
zd?Wk*#;t-?*#w7niJTX&PP7e7%ec%%U`Jkat_2<#fl_m?$Kh<77vOG5k)p89G0J8m
z6N5oOLoNOt2tpgksX6&hc}#yU+oChpIN=HzNs^b9<AE9AQbpvJFeJx+Wf_VrlGw9#
zNQ2Ca+o6%=Yi|aQOH})Te}jyE?jByT@30<=JHwp*=|}qysd%Kygud$fP;#H)G4T+5
z^hnpa^&3ly$GFfeWeWPU1u>fPDb1d=0T#U}*Yn^v8|LfP`NQsS56$tE*0-Y{vhejV
zU+d_SNDEqf)^2)eE^rU+TDieY(#ED3L6Os#p|6}S;N{h5Mj_7F8a1xKX0UIRwqDf=
z8`q>TucI@H=6?U<2;|%LKt3SCspSqh9j-XEZCVtt8uU<W19PDW)}LIuvo5~@n(f<?
zd9Z3*2w}iT-|2qSa7DFE4cBb3#xKs4SbQZ&PO>m~2Q49CJh;ud^r7ItV<UGs4gH6t
zT$MceiTL%V-OlfWs3ecciJv~MIZc~Fld$I<twqE%4?Xj>?&s{=oc{$E6K`1t3$7e+
z*K#WTh^eA3rsK8+HJx**;I<1R63&%Q@y@#W4}e;^#%q#~Vn2zcwGxdKVD%$vt{)l3
zzMm`U*?+@qDO@L`H`jojGmT+UDt)y0!wtHRNAjt(uAgP3n8V<b4K%RXBxXI2>5k(0
zhgAHfXQxTQEx|&JjjQi{B~?FoU*85TB%H|VDWs#lE}@?r0n3a5+jZ_1E<MpdkDp+B
z5%*@2M9b8B@USXO+0S`kE?X(_s&GP8R_nHK;Ggm1DY%jeR%F_Fc1EK!M>k*MF79aJ
z&Xj5}Mz=lc9AZ**s=q}oQOAX@)Jd$H6X<rD8$)1qIB%c3MpIi)?E0>`&i)~Nj|^d6
z#Ys~9T68HGp{OJbG$V1ux5phEM>Z|`f~*$sJlM*_cl~0`SiuFyjqq0+e#P0BRni*k
z^<dF*?p(NBct6Jdlg3Re8m|}yT1HMJ#+{G-_2n1)^Um(W9{#TJ2|8eq$YN0zowLJz
zXY}0l;@<K~yN;ISUE~?wH@0*<1NAB(Ol8_Oqt9>*bL}ms0KIxyEuN79NAQ^BrR?4<
zvbCzZlbMGIM`X4*fDZGq=iC8yi4xajOuRBu*vU<8+}Mo=EgQ5TlWMi+#{?b<Hz`%M
z-evq@UzgP7<_iys(dsjS!8D(LJ6?a?TVYpgK<8Ut)zuZs=frMSNSeoZ0YAwcA&`MJ
z=jK8`wiyw03aE#%1!;@B_~9ooKs0;xFFQEFdNTf<jP~3yReV7V2ofZ_bquO6Q>6dF
zxi6Y;U`kEM`V)AmH>0_(2XRYWruy89-x!PY%Bjy8)R~p7Sx5K?rtZU=qFd*d&N&Xz
z5H%Lp#Q+FGNpn<~9zb)Z9N5fV)e`F6)aT0;Z!nu*O8Ph8qC!!MdSgu~us^}5e=lCY
zaMPSB=)bF+IEC6HeB^zEg*<=GtZXQR|2!()-xn)~V!5w8zgV|hjG=sali^>x71^e_
z(JeU<9Cqf6Sr(|=kV#G2EvM3_UllaRe@*3bP**C7Fp7Jk!?y)<3=1L#kyW|Ww>0Xw
zSOlvD187ItvqG?y?bCM?f~~!cj-TU`M*RTM3&dJi0idrpB8ll1FPeqigG1x0#eaA=
z{vky%jhFP0Z;@7~HkYef6?8HL>*CL6>n*qYtB<~E8jT^Kwj|29b7nO*3AQl#Wa|R;
z#E?5jLkZepQ$=yF?i<N+!58|6^ce=2d_q)|^NKEi!M@~1l}PwpLAc*cjP15-Pq`tO
z*P9OPylV~7%&?g$IONI8(YwVKvAtbPJbMlAomKm)RiLv;X9FY|yS32&fX~WGMTnPS
z-1{yk6B{g^f&1Wgv5*+?L0uzt29Iydv%ayI*ZbvSgtJ9n%f<V}mgkNr-E>(!u#`pF
z9~r-Ev^F-tE^S#!feUJnOcu}DPy=UbnjFodB0H@p8hXKjk;m2)cB($+Ug_-`{2_rG
z<4=v;M^vA9oU>k^;2b^DiYf6`Z>#4LbCfu$HP_Tt3_rxeU)L*02L>DqS-U!wA3CGX
zhx~$MXXN;BDV$;-+EIfIEJ|VgZ#Z)69um)a#pPf!`n<@J(d(*!gQ@{?5ta@Rir3I8
zku@eY!(4nghp{M5^o%ChkN(PGP?2(4`;Z&U`X1m%9?kRn^xbzl{`eH%bPV<WNK8s4
z4Yho_A?e|)xC-L@Uo;tF%OnQ@!`HYZ-q#q&bsc%{)%0%fC2uO!ajbfw<A^^L1c~H1
zaW?Y^k}ttI-{^Yh|JIB;8*j{|wzvMlaIupVPC64MPJVSE^+}MTAnRq}Y{TJEz>S<L
z`x@(kqKI&TSHa2~ryM7|)Q3|~tr;{(xqQsA61ZyNUSNgma4H;7mDQ@n&!FDY_JW&=
z7J6et0JSYGQV|#xcLxu$g*g83#yy4qCUsp<=GnRL2$rKpB#;o^f+-6(X8nxCoQAfW
zg4Aihgso%0#cL#M*T3^wpe(8qj_OpbAnCG7|4}$!YKMho&&`zEumEQFvg78b<67KG
zw~A__=FcU(hSzRnhm#UJO1QBs8O<1yH%Jsaoafw*_P4HtHAXw{W-`s_w1}JS%ZKb_
zm8z3IP*>=B&VFOblnS9I$9Nu*iy!1xuO<jqz)c^86H@vi*FkGSDf?>$C?-QSh)_pX
z0tb9EffUN_8YhCG7?+PpeTy5OYHl8J?MXG?Da6L^(4$C@DwZK`fUBJBJJfC0lg~SN
zgCf><;$c)en_xt$3<iwFMcvL|?4d@6y&`hv189yt0I5@h${1gn@iZ8bZFb&=hU%P$
zew{8y?eG{MN&2|SM}7q0+vVsv)L~-q3ozpuMoWHff6uFRItMM5!!%+n#dA-qlHWDF
z?=Rmp%W<y+tky+8!OClkT_4BVLhOoe<2l$nGhSr@NI|7SB=3-w2Uea3UggCsTv8;7
zNteAQYv0;b*FsXTOYE!aH}ER9b3NIWRUYYBmKVu+wwRwT@C&XI%FIy)G!alG%y?F;
zdu&_Z(PF>(+gtQNO$Kj7mdjLQN2kP3?h2A8SaJlwkN8|$yH%Z;dt@^vYmxJ4P6XLc
z3?z#}vYi)rF^reTt~tiY+lM^F$Lc0;?`iaHbj_ENU9XqKC+H~T8a>r6istQt24w#L
z0`?xilKN_CPGx{UuHiPMZ?EIO;WKDe*Y<E|y<5L#t!)p>`cwEm9-uUy`R;9(X)#C9
zhmN?%xXjct4@ThXHxjNXEdP*Hn`(VQaqxY+G^{Uv+!|nE4X_3PtgQi-eCdg<*W7V$
z%kA1ZcIvLD@peecf`7Yy@{rF_?xU3)SQ&hyI0)7Py=*SOI#*A|(Ged#1fV>8g*eA2
zmBklmkTN^^M?_1|jI8Ys4YHEF_fXu4D+*~xaGA6p2Kx`J7r4clIa`NJ8!~seW0540
zv25IA9%HfrIafbpJQu5%>gvu%{fLW(qCH==aCp2)Ih&Ol8LIj8v0q!JaXw&25Ov8Y
z))H60KUL)I%Ih<poxX4m4AWPcsIh8gJ#%IL=2O?-@v+dag@|T7Vg1b!#ze8+hZ+b{
z0Nexn5-o?CF&}-QoN(ij_TPPCZ(M&U1B*P3CGeVD)10i&ZxeOMrnq|*iYk*`jMDuP
z+IhQ68~EEb@^u!i%0cfr2H*3!(jIdNG#~&(_&HctJ+&?A^!TkoJhvMQZNaLZ`+nuE
z`Wwg)J_|3`G`Mk1KmMw^rPGXZu%VyJ0j|T9QJRdmkN)#h=$l^#>r`+Tx2L9^&_hb~
zgJ|UgHSKHZiu^Et#e)yE{(EKq<(2+rM{<Kkc*#8F!WkkT5Db`>P6ZzLHngsg?`hm<
zZqI7+s}_^NWlqLsD}Cf)gGtz3T^~71IZBc2?H|G4(=9|+sEu!5%3@dPA4x!pCOAz?
zuBft1zgGqHRE#<@n?`xK1f(k59(idR_^?Hr7zsUzktklW<zu`?DcI!N`}*6nxV|EV
z8ISb7nKs5&RDv8NY;xlHtL7f6R{xzy|NC1n_QQASt5=)s)Bv$DArN1}+UslX*(Bds
z?PZbnrBd&<6Q(XJ1PL_K20xY!Qg64+w|__s8z-n599!9T7|U%KD*`+}U400fHf(RQ
zfa2!dKWTL|ez&Ka=}y@ihyx>k*Z|0bw_C9S<w{<a?po$t%0kz@9PxXJxl82SmOn}z
zUg}{d#Ee6kqOi5zj%mF<-E`4}MG}n-z<|ls*qR-%5#Ja;>1$3DnFOd8D;(ky%Iv3T
zpzzw46l2qsLM>JeC+F)tb5~E9q8d|8pRv?2!6wEO;l6`Hf83sUv8T~4e%C|ftSQba
zA`Ug?5jFO?Xpxl3<3}cwnmI*AFv+P>px3*%6gsr8kV(By{$}C0BiV0CDldHp=m$%;
zw-Q4+8GhjPd@)KKIc517eoRkdLNS_vytTYX-;R9IBnk`&zxAN_8Fvp7>%7ae+VG3f
zb$+2&(t|g82;PMn2%S`V)~U3yN<|M*+PqUhhR7su_BjkLjv>*b#;c3dbkGvy%5Uo2
zId;Q*i!`}*z@>thuj4*c^)m>ACve2+49RBi*sqUCXYZ4pg2AN?Ys|K0Nn1=Iog^O*
zeA7dzPLP6^VH<11l;I6IkFnB{5;t+J6yBf=Vym|(z0DmWm2u8*zlC?6R$LFvv@293
zBoJ3%o-^B^P=0GE+{?q+R1(R(e(&St5wXP`T+t%Wg<02ZGVh;bc%Eg5lSbM0!Hp&7
zK66~X4BCdS2{A^AP#1pd-K1jF&-3UD;5oo#CfP`+P%X!aXm=K2^3H~(^NWx95e&cG
zaJ{Gh%i80ux9eTHic`;%5+rTR8&Q5@RQ1Gj90Cddhm?LFf-4ab@L|!wTG<R^@5v}O
z5CYR;73{GW`SqB#_JpW@mB|6W*!$GQWqu6d;!wJcPi~O-qqF4OH>MY}dZnx!@?O}Y
zdX+0F(I08tr9HBG_$IybB1z%c-dr<iiedO93lZ(}=Yd-;cU2U(GRd?)7bTNE?OaLZ
zvF|;~a@(UfnDh$;A-Dl%q|0v$L>D2cjzKD~o(s7Hk+u2yD;Q0i|IVGd+1}$|;%7tZ
zTox^VZ}5KDk1=&=zUy_LP_*xQ8_jj|cAZpBZB@fp0^#S+W}Kbd{zLNij4j(NE29!*
zTXZ28&g||1;C!C~^e+9pH}{i%j+N_~wAW}lle*zQCplH&uP8fyl;_k+4?e@3x_+<U
z8zTlsuE1(y{+ZrcnB@JkB@&JQ!g#E=Xa|2}#2WUV5@VPnm86K1**cScgWr#Wd>7rY
z4R={A(fN|(@LJC|UB2q0x>;o?Jiax>MBH@8%~~M2%Mi$J0uW-<_)wgoJu|m%!~VO+
z)T~F>tab0X)>F;wHagVkT6_VK?LqVfLRF%EJ^&=qNn_hxW@MbO_KO*)^(jAUm+F<r
zxA7iHFJ$G8o|F1eJ6@?&W_VyD>*0qC)Tdvwg!Q@xKZ&QBat`<qvV6{96mIV+>>eZO
zuvTu*;^$L~2!M}44sotv-E!MhDNSSSYz)>D04nQqEA)znV8VxVFQ!nO4d#V(zJykp
zm|kMv;=H?y;bJ_Sd~?E#DfJ+0?~%>&UY0Wk(IDANW7hLu2~vupj>NmcDF%x^AlMpe
zXaxcB-ADXBwc-Wu^Om?snRm$sz98oH1m$l086@8=CTT*#%{C`<zKN&u_u$POwirLO
z;Ns`&-(gr#hhg4xa!F3?#3WlfF^^dkc@>t+m;0mq`=j_(>oL{oANSF{zayasYHBgJ
zxJUUHl+fFJ!2P8%X~Vl@+_`W!LUE=h=$+*s`NI5Se~+#FTs1SA=k!War4Ao7wtoB3
zUOFz?W!_fcy;=tPvql?r5~5fULkWWW56M`rY;;rc41;M^r$waQLnsg@jhheFsNcx~
zQvN+?1aZMl$-0$pWf8<(jAjnoz?y#JMU4QghR_9m`X)&mam%_KV2;KW@U>>(B!G7>
zOy&GY&0Q;&PT|bC`HK5dUk`$#Md#GKXz@LoxtFaYEKoyO^7K}PoJge?cjc|1%O-Zj
zRUm?n`)S}Gk|=QQoYZ7J-5r1ONqY7!x#}ESe$!;&9384hU5DZnT=+yCb5($N#*QXq
zh;f%?t%_of#FJXPj0xdSC)ZN-l21pM@t=#6`0tg73z|T$%WK3W-c9C*84VpuoXJqA
zh7zr3KJ91rye1AtO1P;TV?0(($+{NY#>%qdIt<wP_F474sy*g8!F;+W^rz2bmQ#K&
zJ08XV5cQT(ZG`>ScW{T`!8N!fP#lW8dvJFt4n<mAgS(XC?heJBAjP3TTbu%g0&Vef
zKe^92?|Soj)~s1;GXJ^uTzmhvL@2&LuVnNG@H7K4*y~4J#i$3zs&T@PYp>OjRVg+L
z*@&1>%5a;zT!$GK=jTeb_F-@4ARW0J5>p+;JQh@nno@56J-mIo;bf}3?%KFWgOvV3
zG>y?N0<DZ?x_79AHVebnaq9xiDBh!bReX9vtM@?zUa{sumP{5w<Yx>zMD(&=E$9ve
zXLz;g9NxRZmEs?%lp`8KZ6AvhR^z?N4`$G>F;-z6e-s-vsB_NvYb{H76`e*IhzCpj
zuOQXKt-Oxb`cGM^rsfa#mDi;0dxjI{LDg8%N+xeaCws#o<k)bieamZ->8EkARE89$
zo;&$AdVncvjM&GZC%J4kA;{J0C?`*jhTP(7k}Gs^^va1KB23*RM2fBYUJGNc&p&|$
z&=cc9&yD5Pc7lA~()fT^=;u(e@>g@jH&AgKmTme?&eP)Nog;c_h3b*$(1SMuljTR~
zC!;JqQvD2~6gxleHOMTqyRdv#-G%_*kX&K8WW=4+wU!g7NE2VJyotxU3x*`#T56=5
zsX~E_Xlg_?$?{8C*>ls+TkX)w9*-W2A*O_a{zC4#cPCv!o^<Iyi)Xg;MQ{%uqWKgj
z%=-}pN;p%oi)Yzqmez8_dhxD6pqmaeNjV%JC)ay@cQBOAvW6sSmlaA$*qgz4g*1DD
ziT@Wb|6jU1(&>r({eO6QASoFHlblh8Lg#;so~S4&s3<Rz@9Cw>8Ez=AQ*Gb<E-HIz
zFZMl~s+M$caUsnY5qZ)3HD~z{^ql!mFSIi0KY+)iu)or!E~E)}z27-~OvLNuRa6L;
zaLH&^`7_XlW)rjh`<}C>rf*%P*Ya9DB@`Bg?b`MO-+1(FUrP4}=N5igcNnuR#e#K=
zEUnWQAI(4Ds<OAbBvRUHbXiEb{OH+X*J8(??=p*`jrl^#qR_R&{I>!K-{zzdIHWV9
z>o$KMo%7)BJ)axR?Vei+AJ<Wjl!HJ0@c{{V5chS7kH_ovSouGi=q(FXp|Esy?0w+r
z@S~8=ch-Pekc3;PyM5VvuX_KPfy-ZYeYxlrMS*9|{tE9T)A?7^tL*GZvUC+1GHwst
zr(cs7IC<zwyHHT$DcT5ZdK<r7W>k>_by!&?hO8iE$2H|W+>ShT^!j}_s}fUCF<ay>
zPY&4;pR?TX-l&?e_}@MxIpPz}jqi&dn;P)cLLAc}k*kb&7YXjaptu+*n`Mbn8$FU8
z#7olLr*BUKeayLxfVy#3-?H-qHeNHib&zw*lG~NL9$_eCUz&d8rKxG9GX-2_NGDrZ
z*w9T+FGAUv^*(VuZp=iw$!)TqypCz6TAyhZ2Vi)Zd-RNQL|<$8ZDq9K1eDeWyuZ1<
zCEt|JI$-D(PIpexcms;rE)rLTOM2dMm0#$4ud|1*Ri8ZrlGkEnD-J+=VU+S2S*fk;
z;}R0yhtT7$M-=nP>pPu8mb%9s!po!GU)(-4aF-s}%&p&q5RE?rmhU%{A4BidxQ~2&
z3Zhq?`QIi!Z7B3*e@0zst>MGD5Mh5_kXpA}7y>a(71BM1-)U?|np4yG-JOi}R9;$K
z%A=t4l(BftWZ`Pt_bzl@w8;5Y2y3k6dzOuJ=#~7~h8C&Ry623uVl&eW639?y6$)D%
zNxR9qc{FFB=N9^)eY2j%4am>iNv@c9ytNe#^58thVztMQ4pNkpYCpJS#~BTN)1}{`
z=|hWJ=AHX3tqICxL6UPS$sf_lliW>Pp-@3F5}%v<8tT$ehKz80dU|?JdHD~3*_4*N
z934<*!BWug83-_%(PY<|y29iT>#+6S%RG8W5S;xjxggjz9rCLKvAQRQH3D-Zw!NPl
z<p?8a^W)xXsvky&=BYgIVbPu>`>%iu7R&Cn<RyZ}K-JhDM{gdlqth~WAkW%lRI>Wp
z@Qb1o$zNTFu&-b1?%o7Cxek2)GPr$Fbdj|uwg4Sv%i93`{EDN_<*Ev6e5E_3t*vY%
zw4w<F`md08ZJ+335V#m}OMQsGeDaKIr6%E`-*yV?+G?L9K~i^nzYw*zdvvi*LSd!|
zPB1&DVO>;BZNW`!!MEt5sM1NO7&_@@K&>$81{$pdGoCjUoJBMh98jMpT8--JT@}Y1
ziCS$v>fa&fiX`!W*^$VOc}#Q+G>rew6%<s!|F9#G=tx}~pn#rtIw?d(E~1o?#kQ49
zUf=Et!)HXtD{|@j|HciPG|GPfoqsses0P>&vBMNM`In6JUVZ6bhd6a?Mo&09=^&4q
zE%(aH9&eK96zSy*tLw0yG(WoN24H_9<-acELx>cgq!ntqB?c%yO?trcRARle>2LMZ
z*j1+BtbvWonEIim4{sRqvz^Jr3N?#czI}z7TOjxFh?SBrJrx3G1Wxft=6rMM_{ChP
zI%XFPM&g|i=++G}s+1xJQYGt11{aV!Dauod+0(?GGTJnb*C`}OLzv}1fHXYcaEP^k
z_R^h(MTw71&AqD`v!mw@x~*35SnWEg-K$xXXNkqp(Z`*u<c_$SFO7d8jgzwPJzKer
z#<#a%zY%(02v2+e{>{Fv*6Bs|?D31@->Zce{U#}SKo<fQdKbv;e)Tz_^2$5g%kD1o
zP=6dG7B+R)>Y7%nQHRDfW2PIX{C%7=9{24G&+CejyVduZ%2m}$s0zP)AIr_LJbr?j
z#B0{r(fx~lK!<8rzBa4IhHU;>Nid_I1qKx}TZUmS>*LDs`l5NWdKDHpaEfX$n#ITP
z%!a&Mnr*K#+E~Cn<IfBwkAPf|e;@6|NoYj45!npH_OozF-K#lf>|xC!9MK6r45P&k
zIoEAv(+T95|1>M@AvwE%yV)%hIcNxM2fug;3ZKv^P?!-l;3dAa_IMW_{*YZKU?V7L
zP7D!G^7M9FL3bMu#VKv;>~yc(^cM`S%!MO-`$Y=o$VT=bWvvOyDvf04loSa<-WQc4
zbq3LV(P&7otHNZ7)ojHejTHwT<g+Fdx|uwUR(Ev!N%r_yk?3h(Q@{em+UuN)g#{(^
zP<i-kZ8f9DcT&>Vv_r=Zd=m6!mn$iS)qF}2qn&Sv$*Wac?YTD<G9vBp2KOq`CY{z6
zij#MOf3{eN9pWn-KK{bd3uEe%6Leuvw?uuFt5G^!afQ_V;kSi`Hq)jy5X-x8-YJk)
z??U<vE|d890q1=szi64x8od17ZkARJv!&h;DXBbv36=VDtL=_gI8ca`?RR+D_AW)b
z(E6QkUS9HC1)$GT&t`|D;5uGZL)-!9B0yM|BuzB+n|r)(L%Y57XOs5Umb$?fI)W!6
zLF!jn(fu|zpPfR>e|@_T3Pq`J@1gholIe|wLbNAvK<e2nmbgbqzONDdN1Cncjs^}N
zFe=w;ZfOpU(K>j4G-_CCcxpglFDy`LTdLIVS{)jQ*1*hWR=sY1C=j0?NmRtJl9Xt>
zIJ!Lcy%HJ#E!YzvCGLGTa9K8X?3HBhqUCh{>lIa!7pIG9`Y%Y0#zMldqQS#MkksY&
z<d~L7Rof9K+@fE1YXb_3u&bb4oHIIPZfwNNtPm>}q&U4t(<^;a%WDk3)vt;E9wfVI
zCQCyw8!;ss?qvL0*CW*ACL1GX=_*_&AI7yKy=(yRG{tjh2!l8+K<pj!rrjg<?6}#(
zj$eJP=`M6!xRapbJQ8+ILDO?pZukPJePR2GkB_WUF`)AP^|{mS${Eeo7ruYn3h(#$
z5<fx3*@}91P7upB8!Z~H*bU3e3e5A7?zcW3yI|n`@#Dxmf|`budV^{f-UfZE{+Aeg
z#x{JNJ`f3n_-;PM>p*OD-T^F1#eM?X8&4LA%N#U_YW{mLax$VAjOC4$a3BuCcB54j
zJXkkc`2zZr)*e}g?13~+@#@2^cu+z==JQF0r#j0>qT9~|6&APbbiPE|_70h-oM}|4
zn^~HU6m!hG3B6==-lYB({kKn)_YaIR_KTA(9t^#~E{fLD!FeBQNcJ~1!gSM<A6q`5
zQo&*aLB@Fgq52vxvMSSQ6v7tf;P+zEU4+}SNnGsfr2gjpc-4fAtu`Z0meGFzx%$Pn
zE4CVmh4X1HvT&=M)Ni=?dk~*+?5HAIV7}fLeFl?G%kAP!x6i+oE4JJTA@4HkI}27C
zX20_qwqtvtgobB@w-$<uTe`32Qnnv()bwkJHY`Uxa0L_nL-^NLkxs!k&Ixc6_a!7O
z5)h+r+=`kuRjSrIYCarx80u%=JJ5E<E?iGb=W^<^3PqRCsj=;HE7W<Gq>Ao8wT^D1
ztiQplMb!}^=ZrjjBnqwJn*$u%Hab-+<Dl^<d5~jl9&rUmsZ~EzuiLVnh!U>-ygnTz
zza*`0XejsEWBEl<^9}QM@pm?*Gi8+te}#xcd3#ouGH`;sq_?wom-yEO-OXNcJGMV>
z_RT2@O_lp<WNiJdpe^XVq@x&Bd*`Uo=Zd;tAw)1_!fjm|K$MOtB<N_SrkY7(>YXpE
zRJVDO^lkae<n`yYb&<!!!X32R7~wcwjh2aAnBJE|^iUA---AgHO@q3B-cDTl*6WyK
z+2u`37lvAn$9&64A3q#%zp8rf$iu=h_yug9f9KMU>*2@z2=I^aBr6U-agK@o=~_@E
ztrAUlkX5NoSnNh%S^*YeFXl!OuFLD;|3!|GIIf%JS`r;#bvsPM{ZZ5-I<MzV9-}K8
z?sV`s-1r93Cxm^wArf>*lGoN)shR1H;U_U_<yf-oDj4~5p4{z|Lp+;&_O8@kP^nK+
zNHd5GT6B~9>x~1(??Q<xJL%u>GXIM5b@$c0Z1cxF+$~s)C7S`C0Uh&qA<7fTCXQVL
z1u6M3155zbw#N5&-svEnLbC<=Q?78%?VqH`=`Wj4d)-`VfjNd>YRXobH=DEA+7k^X
z-xA6<kfqN`Z8kYF^dmN+0c=O*at2D>e!~?MBH`*q@FA+en;5G2gDkf@)!6N=(Q$PL
z$flBSE{<_lV;I;X*9Jv^o!P;9zZE3YYjkaOU2GM83v%kNG8j`jdwb4{8L;kDM47*Z
zIS`vsca`G*lU1Yr;7c@2Zj^>*N^Hx(JxeX!;Fr*IIaABDT8e*c5h0{4QjE$PK!N%S
zS}srXl}SD*dF&i`a>2a$W?tGG4ZH3WTp%0vRiQ!IZ&>T$5l8K*dKD3Dm!<Oq_NZpA
z2W}v_jza*BXb6=IMRvtCl!LyRhPYqNQ4{&E`+u-L!4ef4Ss?WC4ZqHMX4c12RqRvj
zIv>rqcW4e3n-CZMxMT9TPF&7o{l@Qaw&=P_K|w~^!^?8^)1>YYl|pDnnh4oAR^&p9
zZzQ(V$Pqr|*6)J^5$CdBT$W_%)!1I#7!gM((l@|!Dz24TaVjp4px3WB-Cp*K9ut3u
zTa07;=u;i7R!q$0L;QgK53H4bFqyocOi%h-em}0r)4O-_gr-RH#N@I1j{T15gc@WM
zSM*Q+@7O`=KY5x-yP)zQxTn|eXl$EQf&+Q{ce)2tvGileqb?w0%da4}ARFM*U}kl%
zG|sZ$2X@t!tG_?#a&vwHW$!hR*Mup3`d^YbQe^@#ka0o)+W(2n|ANHPi2)cSq(CxE
zMhH2D%>SxPqzpx>%(wpmu)UxDc#;S#*=O03&JasAT3?m);3rp~R2qByex3+RK1gjS
z|A+DeG52{2JDfBEL=41@%jph4t0H^#ieZ$tqsuHbG#U`axsAqk*lb3q2I6A+&HhuA
z=%8zByCZQ1{83`MF1?o;*cuJslq00xY3$edcd>puAC4M6C77+oSr&Oo*Qw7tsiVPO
zRf8d=wmX*gMAj7xCS-L%aF%gkgXSmvGu2w89N4R)EwGXY*qnCBZC%O81?AN~zT)6E
zg2*kwb@eJ_{^afG9*U;s!YdW20p%Qw!q?Cp;HbL*xmwr>{fr^BY!{P%RkRJ*Va<^k
z>5p$LchcHsAS~x?*2a~$-%Fc~sB6~3`ynksdhJzSJoU!<itDGqX<oxbS|_lEY*k^c
zgHp(RaL=eSMlPd$PBSgv*iPenz;x+q@K1C(H`T>TO31%-*~S_!r-Yph>JwKjy*}{}
z#?}vL=`a9>ytvz)?IHqO%qLGab(1^<S!XWM@!^fGpR?Y1dg=i@BUWtu_3)lxwmiEs
zWce)XxRG53ju>HGQ>dkkiil2?W<HCcd~Z$0H)R0yY_=xj79u@w($iV2ZB#QHu|S*f
zl=q>m6WeBFLm_HxNscB2o5z}WgAKV$$PFmTSeLzksDDwv8PV~Tbm|Up->TZLVFV^V
znFun_=xv$m6a)a!0s}_BtaO$iSk=F47=X_`CJMsdZJKSHQI&j5|4RFT+@L?Nq_p_M
zh3UuYw;`by5cD_i^QHE_?!J++;f@T$Rb!q{4bUxMNbWVkHmcD0BH8&tcyCQ>A;c|7
zJfN#<zd)K{nWVvCT%CcpjHA-MnN_MJM%}E7$CP7p{#rt}t6~N+W5`j#<*1>z?#n^A
zfK~I*ZMwQ=pD(~E6Q@$MTPCipIgN7;6bGY`aVWTIIc(@`^)SeKRBL?@_d9jwk&72g
zRw(KlE|`j^7IJjJ7%8HU&E*h2`y2d0tEThJJ4JLaR<ykVahMc2kTT5MagO>#*lPd{
zcO@)U^zX(Z6&zPk)Ho7AOE(XQ|Ir*Xv%!)cZ2Y0se@pN{{O2u(J_s)rnbtmq%TN*o
zp+LrHh0fz^{^sWw<nL-`9SNXEV3+V1teXJV=L-Wgj&e*Ka`c5j6FA`yb2^y)xEkJL
z*r>y+%E&X&rxVjoirT?t4CdC&3CNa(1a<X?pA-}f6qGBx1;-ck#SD&wUa|c5407&m
z`T50Y`NTwd!9>GSQR#mRkdL?c|B5|KG%Pe!jQ<gP|9!rZMFG0#KxU|{4XK_tBSZix
z_R?)jTUqom$OPrDbi9zYApaxv&`|zY>is=uJ7AdUn77naNbWgPeYDq)&Rnpp#7ev}
zDdfv|E@VFCpJ|)ibQ$`@sdZbJdTCtpwd{mW_f64OK%uFyX}e>k(`zvtA0v|Q<jA@q
zp<ZXbMk;O|#Oezns~X|5(L>_eg@gTLTejrU_+N)MmFG*9SZ+eqFICpT!FlD`O`*nt
zz0pTG=VfQ}WYzTGbS@&;p!QLnhu*T338<oR*1ubPsWwr}hea9RSPK2`n+G~k*6dHD
zO+DF(ewnkyhZD6<y^4q9mr6P=NMDj<(;!1u@tQ6e@zC~aznsj>cd;{$T60n)G=p7N
zOVb;fZxmt=xG@3!_Umaz&h8+CZ5@xyn!<vv82DD#sRe}~JEf%F$*MM+GA_J*=t^9`
z!-*loqavn#De>&L!$3ACoA!7PcW^H6j3v?zw&USCFBUl6-Z>zVQ_J>IZvC_W#V6j)
z+Uk-z+3&JTwVodsrt7xVhB%Jx?FWka<zR(#z7-V{?6%B5Y|o3UXmSM1as^q<VPJ~!
z4S}Kq*6(8l?^&F+f)SI78AGk0-}X*B`zK?oI?1^Tn*C`7#<oIs7D|1|AJBW-pv;ds
zqVTQN_6K|#UcQI?5V~naVMO3`7}gPc)u|u5r-P<yHqMz8Y(uwk!}!edTa^BLCawhC
zfL#+Pt7d<`ZkVF7d%|E@=x^peYNm8`VXb<YS|7PueJOa}GXYhiLGds2FVl#dRr7R^
z|NhHZO&jlg($;5u-<&8TA6R7>b#^5U(*!5SK}ze%J&Wk1?%~=5dA_z;;)KS1?(S&&
z+stCUK8s{F35p*|QX2oB>m(G-;XKEe<2jaVuGtRcG~m^&H*d|8McCJJ0)9w7g!N@s
z@)WizV@U+isecETlFyK)vVDAs^K>3NQ?t;j_O|Z>1?BRm8Jt!=I7o_2c54;wH;zvA
z^4SjRxaZ!^SP|sbYVVKh>-80I^h)mPe@;1=D433uG!YPhACPiOyx_js<K<c5R1JNL
zgkCopX*OfK8o6iHc9?x{#^rSiN+ptmARci3^x96D+<1<DYNI*6l(4ueBk<+qi{X?f
z(+}i410(A%>TwTqb%RN@_vJmgv=?jJ&pi*XPBcYUdbM3Tio8_3D8Rq2l^|Ib7mG-q
zj@Cmq!|G=go6Om2+uS>1s)eP`%x^hW)L<$mUWb+ps2={LCja71*C|vA?%fS^lR`iK
zlx#T$zrza__|VSsXCm{x+EeyNtIhh?z7E<Ftm=Btv(llJVol>@M>Jon-?XNfLlxNh
zI2<{@mqsOW)CMNbkR843^Nxk&zD=;w9{#>YQhsLi-h_R@n1>%yabsuqo5>XshA<`j
z!<?gRC-kdQ^Bd2>KzlGb)VI}Guk#}%3xk;1YVrDE$$@{paHGo$(v*q2EqI`Q@rlgT
zRy`f`+lBJ5Ny|#rWN)v_cn<NqnM@bH?B5=mO2Szy&^XAy+5B%hyOuwZr*1H#@&(h-
zjU$`+=i0z?9JgwdB5tOu_Z%{x5bbSK>9DrVKhv)5a8+ZFRG5Jf2Qg;`=2}j`)M;7w
z|7uNs)tk8xd~$duKU1cu6$|uet+@QXTGRYbuKe*sw|?cA?x)v%G~~j~5|1o)858?2
zbCqV<uJ7N1p9{skuZ0Ut-qjb9**O?<9J>DpP>-Yvxv$?B{7q7ta=V}Y;;J=E^5iR4
zpEx&>^bKL2R?9Py&OqRGtd-@`V<}>PoBwIySFaW~xVTc~y<Wk1UkZ2nzN#|zX}uY9
zw!*zKH==;du%aM6G@;wM{*fa2NO}Z6<84Nw$I6VqqVm$enfjnSI|i;Z!^95zi!+1F
z`8Go1!d~o?X}4GE3Fdpb1EJ*^{PVf(y-CF6)X?)n+UtJ_es;YvUwPnoIqrRjW;yaI
z$$?X<uaD=KS*<VAV{+$971?Io(nBsC;#NDPBXask&p!_8^tmzfQzz)VZJ8SdAbyo8
zKLj)eCT`pc0-F^5`3h8W^|sr{8oj9w&HR6p94l1i3Xa#ZaUfp4BRL=c1z#*2l<KNV
z>tz{K5+RA6M$F^gtpB3BnfTmeD<4=W1vsuTYU1OO=*_46T5b~gn-AS4o1f+qkEhRG
z_2^uTOPB{B#yjcD!c6i>W|>dovggb<2R7`wF30Gj7J~`=!1Zj1np{}o+vB9I%>+I#
zr_=ODd-iz&UbFb>f4xMN0_Bgm^{0xK6UKkZsoM*wAM-aadY`hJJHH2dyYed5bW-M7
z+PqCUIg{4;E0L;?gmm<VNG<Hk-AVv|lRY0w&c)@Yt);J}U&^FJEAXN#sF!p|;K@4k
zqVp0?+5I7!4xl(>qDx(V7x`NDEinT}e~l@&F-1*+Mye0GA4@5cwBoERC;ne(2e6w7
zJJknCUI9k)&Td}@-l-o+e0Y)H*s?@!7*-$sl19E~+5V5r@xNWb|6NM||74B`#`IDo
zm}Bqif8MFcCSYk`_3#7@j7)hFh<kHz*hjKISE5LSaix$AlHJRVVBsQS9>a&c02~%x
zqwHxPI+DJV$3YdyPvByY!ePL8$1Bhn)MB&C0Dj^8%^~niPdS|$4rkfZ%_bdvA!~Vv
zwF14>#!$<~P#8knWsi<zmE>ZNRJbvx^1kX>At9+8EylF8L8A<h+Vk?>y=qm$w2C#y
zPE)(q-LV7NM3F!g3j2ACqwtNBc0={ivFR0MYMsZpUSm8*9ZtSx8HNqAzNSE|3Q<C?
zn=wI5L@c8dT&%GBnz_8Zt3ey)w~5)i4>hB2<&2{xvD2eQbTcTdA`XF9#9oYY<|-q(
znCR#j4wLwx{!}JQG)(?oJCJ%d2`e#lPnTsEs#i|V^%@6j7n9T*tUPTXiNcfX{T#7N
z&!g;>1U<mkoQG--g6}0M1rD%w@up#la8gp@&_PUAo5bYugV4vIP^MiQdYOd%N`)Kt
zD74XgSP~|o&8{dbi^@F@Y-)ib>LY~^TzCJOiYfXUooJZjl4l4HK12!HGAJKbNB|*G
zCrD7x0|P*gi&&Bb!csGlG@+@u+mE&nz3Nx;xvw*%yPEO7s(8oq6_xWo!Xf=V#_Y8Y
zSP2yhmc7SKxQ|2FT!U1IQ)BK8=+U+D^7gXcMh{_48`(tc>o~rm1z+*U8xFVf)kY3x
z6R?&WlYf0};+=N@pVg(RXM#|A&8d>1c4#2BFAK&f1jbNGqlH=)_e5JPj+JV2Rk7wL
zp~!oMHd>BDg08B2#j;CMsgTWuuJ?>zLeBu$*yFGP^^ENC^C^Z#Q2Fo5;&xzu(Qfhw
z(zhM10{eN5(yjBY!?6=>6Z1?h^P?zQjv}K*&Uj6}?pHs?YnT$fU1bgrB9%<q#!Vro
z=>nv&6SQ@ZgYw3YCL)%<{YGgKmOq+{t;TGbGmrMlx)1%L%fdhL7KiJ<G$JL)J!=h+
zan#XpOvfRA4&1NCfJcNv5Y#h>q0^j@cJ-RroaFmRK*nQtDr>|kLSBcUZeA`4*bwa-
zao6(I_=g;^va)k?^lq;ZCD&R+N&I+SD4)*R&3Z=9(zY?m+k#3LIZqc*wl~D2r;=(S
zov@&Rm5dIQkF(Sck=24LV0JMczxJTfppwNgG;}^y?wP^6BE80U2!a$7E)StOKVUN%
zf)GZIL<IO0vo-yq%43k>XB1Wlt2634Utg}5vu&Y_D7vD6i}_R&=hhhjM{Q)5uwdy8
zMCJHmPQ!o}HbFbWRh$)rP+S5{jiLqY<s;UrWm5I76Z@#%!bclY(mD3(qb_&1Tq!*e
zf{gV(j;Iu;p|czPs=`%9KW(;o1p)<7=Zh-mN_fe0K;jTMV)C_X*_Lt`Q^sGxv>7En
zj;yq3o85aSti)^*1DP8;E~q4{swF122&Xze@klO}F8A=2=g~JxODY|MjtX#4FA%>_
z^=)_uK4@x>F#d=5hiiqF@V44WYaEFnrcX~)>WCueE`HBjKG7f9^QCI<HD@QXO%S*E
z9;TeK`XZ)kd1wZvWJ)ROUyaIcHB{&tm*O!Rd^*i~L(F&K^ho2&^rr%A5uQC0@GKbB
zs4uG238Lfh#yNQ+O^dSCu|7QyZCvp*y;m)F1wG;r(>udLH;p;LaGU9j-Pg;wEzTCo
zWC%w>zFF|^4*7`4;XrT@>;a#(=7lIGNF~Vj)fGLuN)Q9!-jc;TYEwQbQ4QW!;VMNQ
z4^1J*COaw({L8z7EgV28selFKf#^R0$ngu8+dYqFEf=-RXa57xTWTM6KLuP8S|%Dg
z1pT?DQufM`Y1|X4iy`dwnkOij<oAxP+TjqOcRc^%XqSIzg~lm6rVa50*8od(OOmJ8
zzXf31tWD|cP`eV3H^ocn-C)cb?RisuiJ~YH-XvZT=%`u4dy(s~336^X2>*%KBQdyV
zhDs1ej!eFAU{IgOi-&&_1!~MMc#E-Dd<ES*q)>8mokR0cVK<5u2qW*m)gwfl2{^Sn
zibpIsB<zI=NOY1V)<|f)8oXA4`8iyqR?kpPZO^s~i&)Wx${`KMExx}GtZnguZ@&n@
zlba`1f^fvl<<a`5*wO@>tmKyL!(xfjwGS^rp^j*&ltqJ+!*0?vm&`?Z^*u;C2k|5v
zuHHHpr4a&f+k26I)fr-35jxGK<gx+HC+0J(7IhukcH<FvdXu|+NxnfZ<Ar&Qu}ylH
zZn<<_ecD^|5!G}T=t{K}x-05J3pNq$*6Xnsp!I{^$iG)|^)w~*3$~A>nRQow!^uwE
zo9QS5L-}JMv~)N;w2p0!Y~Crp)1KGzV^1l<(9j=!6HxcUoEADJez;@r>@}OZtINfT
z&87{=-c1E0aF5;Z*dC4Cl<tD%xJUl{JJ=W2HSINS8v$(X=(PBGva!LidEIw~@<td1
zL%9nWbSw-FYLz%`OU-Zv?J9TqArm1+^@#Ue0Q7pD5J{9TfHmU-5k=%44;DGVp_B?u
zg}iMcoEFvI!`7x!uc<v4Mv$vYtHdEpJ2|Ec#mF+2`F2d0VXcS3Ph0+3P!Lnm&7PXo
z3GmC)$xG?%fR5i=z({_PdJI<&#{9irneu&BnR_*0DxQL8FtbPATdgr#ixP8U%is*q
zj%j30v}Z*QMZw7!y~Ao7akjzc(U$+XG!EIii+QLq&}%#2otJrKOkIP1m6^vupW8#B
zP~R3truf?n{*DW-zh{STBPlSOONkgIIl#1vU@hirC0Zs#VH%3&v11`Q-6$M3Z|zmd
z{*#8mcp>VDUSD5l7@u3U(V9GrXEVJ{p7ZHc{D)MFy!}c<y8{A8thIsbJ`f#(TSq9k
zb%(o<hHlsJ7Pkk-v&1AsKA2jDRuw~~(sWFb$EN^(XSm;&b(<G3|5zE$RrTwvE0F9g
z*QrvT5+lB@wWVLkfuWNu+oJbtOCQ;`%G>xYau@o`pG{o93%*V$yU=pHzag6d8O2^6
zfOHHR=GR}q^pWA6*SYb|a_F%zk$-VCnq9`iat~$OZ^lD@Nd62{a91h<)eK<n0_MGx
z2q-WHW3g&(WYxe0j=30x1fPDRGqypHp#Uc0XB?8(N+f6_g_Hjcq2mkDz$KwMxhxJc
z-3p$%m6sZ&1ErNTHtX7DI;8sguG9erRVpiaUa*|Ejcz?)_uMB&d$6+wl}T86JRI-U
z#l8U4wTo7o{MhKmvyu{?GqWS8ghDQNIY$c#UMso9Xj#fz(~@Yy5}Ov%OX|aolp$w~
zqGHsvgmii;jU*=S&hg>ayFvFfI*0@8&e$rBY7nfwI!2S|e{ugcINoCSaXM+KNax37
zF%;yf5nO0<E@3o9xLE5F1V6H^d+c(HWCst-+I>q7pvYU8?hHV|Tl;jmUlvd;6Iq*`
zW?1GLWfIj9rd+9ONb~8eO#aI_b!}d6a-<|_jp1kb+E`_Bevu8ICZ3izYCq#0s$W+K
zv88(|+(1mAJIjt=yC8dy`E4jv8laM{NQC#_r~w5eZWki1${4orn>Wl?L8EFh+L9G=
zx3t7neJBqU9~hP>d(CrZX?bwtl*xZ2PGMXi!N%5^D_U2hVyIU@iXLe7lO{V2vl1=O
zCBU{iO(dQLRTraGDQ;lm#znmhV5INH_hq-k%U!U2A0Tep$-`n(6fP4*B;Ivst4}q}
zQ?}os@3S-I4nuxcC19aagsaPt>sB=Ix|mKW%6t(K70G^4*3i?X76r}RVZodu7Eywb
z<@W1!0`euU%l3v74%TbC6ih-C$%XZBqzi1ff%0*FO7s3iwYmdCjR#WY!d>sxsE^{X
zedJjda8c|j4YPm~iN-{!E(2eOdweLf@N`J0fLAkN>qOvhlO5Y1sCG091T~}AFz4?1
zJXhFU!H%N#9Er%0i45c_m<QGlyNJs|^Tw4}Ab?UF<k>1<0OxQq)<;Ry+EO{@{UY@o
z%O%`0eX@6P&+ck?ANZE$R~5|&J7|xmr4&*62x?UJK3fx#4)uKeE@B{-xEdfym$%w5
zEwH0ogX-7rQ^(;94^*8~I#_VSw-oeN<s39Xt;heF*m@LhfJNlAgMs>$7*M5%Uo>~3
zFPYf3CQ%zTF!*RVMXYy7qJWmsj<I4hFQN69l<m;;keaDgAzH_rAU9Hs@ZXsCAOY^L
zmRP@Qi;?K}6+KX<=s;)MU?#PlEz1W69)DC`pGLxKsvX)+y`1EqIX`|eCCLTj0ZyPP
zdVat?TN-&rp`Qtn?JcwMoH}3%kiTy69(U9mH!8*wgV7PbctL<}?$EGgCJlJ@3iKAV
zorKA0ybBJ(mPcX0<4yii)M}RI&2$XG(PYpS(>S(vwtj%C5UhSyjOCpewGlLV=dcQ5
z`F3f>&7qq{Oi*^)jjYG8lQ7uI_{{pX@*B%bHff%YW9j$7Rr)ug2^NuM&ZC^Q*39`c
zOI+a@lf!zOr3=5gs69!CfOA@X7V+R17ZbC$S(O+i${b)l{S&iIzT}<mi_6|Bcx|4}
zn%oNF3o~LIO}U5p>V~%N<L)*#ja}kG;NWuCf+J7kZ(qt3`9`-$3ol$sT2^&2moLLC
zt9it_p%gUWf6?DeeLsZ6UT`1jeS?qu_4}Q%w~jj-;HO;UTrTHU$Y#xBoWhan?ptJB
zh8aoTV<c#9i?pa^vDSu`_$+p$QAtdvl#$hqU7GW$i1t9NM^ZS(BdFXNC$2*I=w-1c
z<nVia4v0WVP`?;vlNEO?GYa@b5=F3hR3f}DB#v_pep~Y;&IiV2RB9Y2=I`}m4Mlx?
zI@PftTZIQQ_T>_Ftu@AQqy5!;zx(ii^6OY(E{*9b+)*%6R}C?N%0{@OaVIr}$6|x9
ziw?eQd5Xa(DhRIhIN?uKFDv)r_-CBaro!Ql?7&Da@-ZvKzsj~}Zq^%Q*f3PWMQ81T
zsmw81{YhZ+i{(hHZcN>Kt6P*t*PJIDN7%O&@m@cQpD>UA09?_~C(OC<&2U-QESRGm
zjCCFG2nQ=qTqEpH5=_1|tgnH#^6f%uc=4D`N`3YZu+=o8xt0a~EEaJ)W3(*=D_Ik+
zipQ8I5()1{OzxqO%IG*uV!vS+evRV|S1HF1S`DIl$HxOArbjL^lXw%=(PD&#bG?fx
z^G;)cU3igM4W_SEC=wx-SC#Mu&GcxJB=<3rqc)eZz&vsmz|i?lW2FlruWqH4D=guX
zH<jMb$HZGR2@~g-Jl~6li0nTA2L`|7137|p8llGR0v1}e#&%fAYU57QvJo+tg0<~a
zDh++itx?;s+-E>lhi*#rqG|!*t6VcK4}z5uu{i-n(JA`rvS~T@a<wVVj7Z(q!FMda
zX~2Jq=5LrXM6U(9yi`!|no{U#n*`zH>iE1};r4e_6m(=NU#y+Gdw#8r%<zjaNC9UP
zL5nhekYq^JF?-L416;J2zTk)`xbCH~3fZ&F0H@&&sMU7jnQO<yT_*v=IE7#w4;3g;
z!k2WUUm$cCgT$US={Po4qS6V5COAY4BHpGhySDpsuF2EMI{d|vb@R*%A0~zQKIYS8
zZo_5-P1ficOMnK7k<{)qN;_xlT>CrpZt=ghZX0!=I(;j(!_Mumq<pE%VLWu|vWbp7
z%LqR(I@<Clcd*JCk9xiVwQx>uViQYP_)*kV@{Shj`f-d|(j}jeMdDzIiNLD<#iu@N
zDDl^UA=Ng8;Y*>f3XViTy%=MxKvEM#O9e095*G_|l9nNVJS4@_$8gr4DmF?aCOA8h
zTFZ1-PBMK()2at^&6T{`-h+7r5mhT6zS0ScI)NMs?mB{sBgz!CJ-_oP>%l@<MkfWH
zA<-md#L_6e#tBJD{8z6Pvq~l0Si%otg$QC=oVh(xF0J;#JE9_+N^9i`-dCc~ULzH=
z7Doqzi=IVto<rLXEBSXvbeYuPvnqOSRlR%tP2L^d?FJpRJQ|gAth37awrgB4Ao7W5
zm0EY13(<ygL#ZSfUT17sKQl*KZzj_sS5vjKTnB7A)jXxfprEM7pxN=~DPe4fe)(na
zt<kk1i(O5x$ygX1BR%tXGVS{caBIUmEDV21%FJ}K)EGtW4diMUr>?yWol(;U$EfLs
zD0}XpZDU!TB9CLI%m{sPuH#Gq^@x5iJd|TRfdp!;mUWMfeg7Uqr%;k1GKc{M3J>_K
zw*!qYm2vLj80`?HGoM+hsP-}tRVp>(y`+DXRc4%T=y_A^y_Y(1aD?BfUWSHSsya)_
zJX!28A)lYDmLf<hW%aB_uXcyTwBt*6KbIWK{s(XZIY29Y53iOAQQM5e&p;D5Xyya5
za=MEW8i+5r^<JUJqOhbKk=aVascbt4iG0@aA}3-Jva`5_J?*h4?M7WzFfwjQT5E?A
z5{;eL@AojFNF_(bx>_@Ft$Ur3x~m?S*lUT2N>YrM5+2j`4i4{3h*5Q1I&De4WujkH
z-Jz*#O)yuG)+Z>8P(q><YUx`n*5*+YsxnpZ6gWO#A_2C?s_z(ua!XNThyRh1esCqA
z9U!Tx`O3_q3CpYy$Qb_`Hp0tmyoBoUI$q>#Nsc+q&xaVjpY8?weR7q3OI>%UBEuN%
zJ0mtB;%Lrd5cZ9VffHm(CA<z^kBS++mIOwLwXH*Yh)mDr<ImCm?NaLnlLgsaQ$)M4
zJsK9Zis;qn{;hZ0t&K8`K|v^B){4e#i<VJy1PZp@5ryUH2sCpT_yaL(@|Xu2syuz5
zxKm3ueOQw=i5O2Z8WYS^xDO<`Yd+-fs`RY#YOpr#Hc*cSy73ofN9zXmYP9~Sz|pj8
zo7!adKFZ#z^I)%;T)G(HlFb#3<(fq;szYq%kXbG><~j#fXiQDm4gxY$$DKoPo~2-y
zbFgndG?qItk(#D<1G*0-LT5gHenY;E1*Ap;R<LNNW^{U;0|6yWPrD^hz^IlwQ)cox
z@ZQNBC^wkg+GSW$UBT2=M!g}6#w&%%k#0^~&p<)uVPzKy+WoOx-h)x3%+XHlvV&*h
zyF;qeOe4Q3$FX!@gPI_}3fKoGKQI$eGM`!WH&Dj{vu)5N%|)ywg?nCxsZdWl%zt(b
zdLal{0!w(0=wJ>RDFtU7f2jj;gEU2Z5tnH&jmU%D3Y5KwNf9#2e4hh8bH;wjK>m?X
z$}6IXsQrGTNTB>!_SNJ#^++U({SgSrMY|Xoopr+wipD_T;ZZh{bW6&TQ8|nb+fZ_e
z5W2Ll(3bO*AFnN<H-ov->HFj<V2d|+$E@Bzq)+)+ay$q%wX{YGZ8-FBsskE72|`7a
zV>@^@Y^`XiJwdhcG;DbLVy%#Q?YvGt=Te`3iu@c^K?>o}dDTwWN(g5a4VCs0!6Or_
z%twfDRkQAk-kAivUfEW6MIbfTlJ^sxg`!ZXR#eQFLQ}`uGHqXsTV1(TL17cVN12OP
z8d{B_K`MzAQiAUCt)e&gLn7Gpd{+CI1}ZN&I^mJVk+JlmEh7vYXKCl8;n)Ba(MdjT
z0&g!{%w~$Mg-(*0a3S(7HVcjNLyK27Ba87||EQClZ5$E6MKsEG`LU1`H(n>`m9?FL
z1zyW+O|1Axxpm}?B}<Xzaw~9YCK?{;!OJ?CzhEmvW>~KSuEq!Mr3u|K+x++$z0p%&
zHNvOb4Dwe%$H8?pO;X!l7Rt<)8&eN>jD5aZLug?fSWnUGV>CsPD*!2)4ueSGybK!t
zG@nPU3@hF<DU;&1ZrnMP)$k@KGLPpRLE|?xOC_@^U@|pL3-2_-J~hZ<e7eMcQlOh?
z5d)5e^B%k5Mxs=V%6u+Rcf~6+B4$=gz?PpFg@)#$V$<VYNz;v@TSt;R6FM3<g+NMw
zaD?liQm|6Rk_qWZDKHYw$xx#4VB>|hpm6aZQouA}tb9SxJRl7RDs$?Zc4q0{NT8-J
zb#;%iWtj{t{?e=kwYR`5^19ZX5!7Xm`?fW?F66M#_v=?t8TE=>avIqf5-6rVY`5Oy
zO|5GsL#K(hihA}w!rdUU$@Ae4Wyor9n<v3}cgY-20P53E(xL+F5}a|8U-?u4i)F=(
z>Y@mWIgcpQdS|Z2h1L@dtg75Z^&L@-*LlAu3^}WbnTWsbA(Kn34~C|dV^V0usMZcc
zN=r`CkToygQGl#hIn!)zPnHl52G3d5O1-ttRDF|%K3C!$ksw3R^pbA@>UWK1qNv^I
zULD4op_qG6e6lPWB!QCw2W*Snh{D7@9~CvVkimt}$|iXa>|)Eb8lwuCtNQdsepU3x
zLR}}Ql)J$m<@xlYzV&Glfq!1jvC4RAYjxD0Q)?1mZ&V*2W}UGls6sPv4OHWBW_zXZ
z!Q2q6s_L=4X=@v2=qkdL$99vmNx&%Oc}I+)X;#~>^HqJzzi}k+h4`o#P#^A-T^xvi
z!0+zK_;0hFIDEA7NLj-qk0tu4qiNclO2LZA3Z2^GS>hz{RN>Q84dxngTM0ylyX~5w
zJG_G&%QU-ksMDW1za|)p%*BJ*Y+qt`ja$m02gf5x%szeAs{*|KT;U~HZH!&7`1U(E
zGL&&H^)S}6;Vw*Ty{X}I&6B&Mlvj)`SFb6(kf`sBVA6ki*z}vw8$8K+oom13yqF|h
zZfIv(fzRuiq~uYM(I*Mc15yFZTgnQ7$AL1_hn^qd;`lZy>ulQ?=6I2t5nvTUgA(6R
zCGL*d9VE(%WHnaRz)Yb>#GiaqK`yBTb(EUH;|=Yyg<SafHg{Wj+19I`LloQZEilrK
zGJcZX3(Q;FecQq$hClgEMKrp{^CPASz<+4&IKDoMn{=c;&%NzI#_F^v*7TVU*CLU^
zevOQvx)I*45_<|>UX51z7`#;zG#rXd57j7IR9&OFq`8rVl?`9Jv}1nW+i%w0R|C=9
z7vU;N6(Y}(pA35_5@>m=%6|@%H5`ULr~MqfYt;6(wN~c{7R&n>%E7rQ^Wk@*q3p6P
zX4gNhy9!SRcjX8(fIJr;1LkWh^r3Mk-m4(%v1v(cf*W>kmcJNNPy{T(Kf*$@d^_B7
zDt}(eovyl~&4%RChD*j_16SdAOhfGQNP@?>=Y^@itsOVUJ#z6VlKHHJF?OJP2Xb4B
z#R7@UVkc#!{YqhE5?%~1JsWE0o#Uk@o-WSp!?T+gB-%=H=56$IR_hU7ZW+BHQ4D_@
zMJY;y#cRQXQLI=WXn{VSY~Ztl%1Nnz&eNl9IPr}DWvIs2AZJn?Pn`|lS};vF<q}sQ
zsfl!Z)lY`qV@clOX{DzMg9oh+qd0k-xC;hg9=)8Q0q}i^*Ktaod(9uE16zcqtL%)x
z0S`TV8mNXjn}+if!u`cErHd2Fu^7QkmK66p15@D~8!rBW95o7jy*a+P`lIQ4mE`#*
zF%xn;_(yV7an9n*F-F5(6ee&?3dw9dCY9uGr`a|O<54JFZ$LwQ`&jms|Ms1J?w4?m
z2?G_b_4-rU6Qh}Sb9bYOP)Ua)e}u=Nvxr99D0aYY^0oH8m>Q{@DE(ll6n(+i>VQ+R
zV9%F~VHJgDHurfM@UW!<3F@8YZHtI|eX0SSmt@4e*b3J~L;I$mS;7vzud8QrJ^3Za
z*v*NrQz$gfcvj-?FkPhQ><79T%*Eg@CL%Wx_-ni<j*8!+x|-MltKF3*CgU|b)YgB<
z>N%_GCK*0qGbXG1l$(BvR!8+mV>0uY<BF5q9PxRn%A-ed;-JjDUG-egV#n44>fAQu
zeWm2hOH!%CwkX|Nt&zQ5u~9Q^qIPWc7AGZ7;-@6)l(lD3F||~=-Qanzw4%1e{bwFX
z(2K{r?nvR9ZJYi?9rLDY98Ix?1wa+GOD#o}9+^xCTP;jq-V|e=LN_m+v{=V<-&&dG
zi&xgT6*IQJqa>=FHf%}4bm2;K(9+cP7=4Rxh(+VjL@pl>yT&BPwm&r=``sJ)V+BVr
zD4i&No{z)-qh8+PJNeO49KAYp8|3b#0b|4=QIc`SG<KW?XHpHIYhlrEPVq&lx3&`=
zg_e!Km?r^#>~=TD03m$$E&(}UTk*It!KX*?Lb(iG-pw9|?TuXBh-Pu*`ldNI{-^i6
z2F@~EqSAk36SJ6cd>9OIoU*&E6Zhjy8;)B#8Ue$ah<TOUS6rTl1IkizE{)Ip1$M}e
zak{g^<8hBe8BS`5tURTsNnNncc%=dN9r`vBX1n+Uk3fE9DE5ayU9%jF?!vi_uhu%(
z?;ytyk3&7i_vW>%|H!tCCxHE>p}`p!uPJiXs6tq#gfs_ie{HV!105Z-y}FplyYWig
zYk_6Tl%_08tdtY&Fv}1bOpV|qSty(Hy7(>3*qh!D?l%!}4o)0XM1xuo$fbhi802Pu
zgPW(((6h*?x5Bn4rpc-<K6I^go<9PC-quZ0wZL$MXxXcOO?WRdV`^wikNG#ZA0LQX
z#Co4lAt(Jv&gYoP4wFa^7(Vn_7wpKYa<9@%Nrb;KEKPzHu7uAlhv2)6as*2mOH@*Y
zLJmFo?l;#y`m)4ss%&jqKTVj|Msai*rEgn5)sWi1Xl;h8uFQ@}RqiowX1V6Q^EAp5
z82)psAtE1yAAo9Ivg#ihphl-=F`$khk8s^<g2t1XEU5*A?NkR^qZPwyHl%`x>vAM@
z?F^YW6}#fyuNY)Rj8Sy&Xq|rQB{kdNx)DJ26_<$wEdiufb8&UAMB|4!0@{JCqJwaa
zibYtYPDhP7(+4l0VXW(iJAwCYBp&MhGcg1jCSm8S0aG7J{8+79Ep~>!Q02RqN^=dL
zGms$&;%*4`TyiAC<;<SaX^Ce#Kjq32)T<SEzKT)H19R&=FrqdF=4ov$9bqY_de>Yg
z56FZjXy%pZk(}kXs)l&A%a4fQ#)&0`8Dp{hL!oNy{WFO#2`YnvgZOtzh(iUVUGV$4
zkFW>oma2K)+g2-VqtwZIMs9q{8db__+#Xi4NJ_t_KNdK8b%VM;WLVN@U&49DLGm}<
zDlAek;X?zhZhem!DC<DJl?sh&>k~!NFx-rQyf$bCkINZHr>7~R6Zcjgi@mHiPLAdc
z6Qv8q<_pmO7c-Z@@~^yih`MlbDu0S>+wM$nr1qpr(P_bVmWUCy!Rhe^;NzzxSmGm{
zRu8CG_~-*u?qnigGjr;*IhZyz;2%73W0HgduiY?poJVz|pailnb3sm?>(CKcE?H~^
z^Le%%aN{Ksgt{mpM7B!9i1tTqn`5umi{?xE9K~SMtWYe_qp)Bt3`+m0H6O)?@aN0K
zBdDzNDc^AD`z?SZO8Q@=?Yu!3s(B5DMmOW3&Do`oa@{7f%e6?|>U<YsJrNxW4b8X)
z-5bYGVeFdGgkoBvtJy7E8xXgK)0ppz;VU*UeI-iBBDu!+`O$r6u4DRSEf0_J$18L7
z%tUgI-D-e8aYMJ_NQ5pjsU-}$w5}J&tr%5&TW?@^nn-Kd`ZK5|vOJ6hwHdmxC2&oF
z6M_SKh4+`@m+|lx?rw@{qVsLf#J2`=MxSE=6$pao+sXo4uevsf+X0h=@WnJSgu?FK
zbz)(rY7yD#+|v6NWREYl+HLM4ZVq$9_kRsvnM`4Xvo(Bt3Cc<x6BO#|dV?&9KXq5I
zzv9DP<Ot$*-_2EZ_o{^TMkQH@ezXTiFJipD#3A|n5<!*YlKNl}kX&gvHH$mq0#x#I
z<m5ygoHdGuBrdk2MDMutY=^KEkh$W1yZe(o%G>!(C7>=OT0wL**li+Bs^kylA^od~
zUB+kXoG23ZaDyR$T@dv(_wd^s-DSlIj<R*d0dtNla+iVhpK7>V)T+tlJLEMOs7K4K
z0M6C8okMq4ieN`6un%tQsBsNuwy}wdDZyUK?pj86F-nTF#F$BPvOES|kkMMc`4sZA
z8#s9$0v<+e0=RHORM<PBjL^yu3fvI}WO04^JN_Z^H;;_w7POOqW;edkbAP2hPTa^e
z8+}|Z1_gVic!4Jq4T%-m$1*ux>d`aIi`P0ajy*pMd!&2#Yf13-KrO{t#5`>huWCU|
z3Qf}^w}B#DhMl+`!cYSQM}rrVjiKK&{lmtBxnasWpnn{fC^EL>El_rsS#Bu@E4%=F
zPki0L<%NjlW5NXYUWx^@UL{&T*ecriwPL(7#c!CyE!f7Vprk45^!uSyUDf{5q^Dhu
zHAB3B(FoXkO&m<REJ^&$&WQ9F93AvMIL#J!@!K_Lm!^5GA_YP&N^AG1tI!R7ll-!{
zV?6Q)!FAn-A7u<U+;bzYkNF|EH+0E*T8C8czuFA%aw118=@X{34jcAzj@lmcxxK<h
zU({is(db1LYwJW)suBUaBJWX9xO*vVW_cL!hS9r^&(-spXoaMC9k4NO?2#|H?aq|(
zmia-|wwtG;_a~wh!quC@!2E}`3qK#-frhf0SxAd^=z-t8m-g5=1l>f@i3@ylZg8Am
zBgR6`Q#W!2mCe2%H;$20(Wda8iGc-Kg-6q!r4wp_kpG9AFA=IyHP<opEmv9G=p?zJ
z(PK~(4cvZ49Q4oE%owfjZh5Vg@I(GJbVL2^$H>H%FlarO4~{5K6UnPPvS9>YW(*R~
zC~f`&P!jwSNnYBQ<RJA8@MqFt66RMTnp#@w^&044LyiA95;2CNHW0%!7!<!9W<XR1
zyi&mwJ6CS>Xi8Z&f3*5wJP9W=BH1NRaJ`8#Y@95fFMoHwLtQq9&$swtIeOFF1YD!H
z{mt5?Ze&ev`e4&&A4x=N^5%!3#K$yd^wWfIa#`Zr+VX_(6{es9h3U&a{l5UwFD}p<
zxr!h|!1z#u2*1d9toW`LjIg7?K$X)xXoub9z<_cAfR%?xcE;`7<bw5mDh1e>{wjhM
zYbV%+mo`R%m`ViV)JjPEHa|uITpy;aEVG$2ym?>nm6&%7)1y$9h@$rA1gAV2!M1Nu
zZyX+&g2A(>C5dIYAJr1XZp573-X6?C+^7Q=c3~rRf7^J-rBr4_=Ct1-SfOxd)5ydZ
zySTqykj!yiX(lb;@L$v#UT>IWCi!jm4yot?{aSsK3!kdgbsWG{awX^WDCren*+VE0
zxQrpv#f&dpRghY-ei?hQTl-NVP^iDxq#9IUclijA3b{)Vis_lnB}ZbcL?{c^qLkdU
zyA4zS0A@EsdCK~Lg;xuq{<M@O^n|nvR1vrCtM}-O4*vkrm?uG*nh@HROczTW7xE+j
z0LYlcUgHYS>Y`Z4ul9s4nMlCJ2QYjOB|!2AfPi@xJXEh29#oiECn&8&(iO497riF;
z_}(rL>Wg(bvepcB$J@a4!eP{^_*~LU2OxZxEuOVs-4pzVsuIwxHo4B_mfTBgaqgu*
zRReTlx<~_UvY>61c@$f3Y)YjIt;4AQ0DWj;5lkfj8eKcCW5zZgeI`^it05FnGVmJ(
z;M6ykGOdC?##h!I6_O#A!&W!Xrc(gSR{e1oBy94%xq)c`%TmsCiB|c7rP8)xV`u@*
zM?hoSh=%@_LtVfWg0D<JA_Y);5CYhaFDr4{PK6VGFO&Hcs=OL*GK-6O9ffT#(V$?J
zEbh$3G30XVxGv!6z*Ci+HI6UANs+@=N8rK~&P+*a!nmjOTEJdKC}(&U*q>`%toB7{
zWskX6-P?joT#9_;F^DcvWN~6PkuppC1cfdy5h^Eyhl1ya$ig6HP!h|rEJUIj^Uy`j
zhPVo-K7uk5E0<9ol`cjVq^`S5uHw<k;i<5eebPp$!m))xtcWY4_QXy`0R58@=_-a9
z$<Tm(oRbq|1sU1X>M(S#oGAm4;CxIdD(tKpqFY6n$sNDsWPo%9<$hjR2vp+KzG`#{
zYeX4nBUr~}=0T`B_C$8-->kQl$*QYybxM_hMj0TgpDQxeMPPUtipCa$m7%Q{tBOK)
zFGEqFNdCcD<=f^IwozqoZ7`A$^MLP$5Rbf(&nhBtxP0(Z2-4p*2M0GZnX-hXQW0~7
zg9eR`NO6zgT&yX*@P47{iL>B2VweMFoaz##Em%r4#V86ioz-IDJV%txu>$my0uuwc
zU4&6MD@Tn{n#uX8&j%A;1dJvSfrI8$Ncf&(=_%lz1udWiEowo_6%@WMYV1)5HaQ`p
zBpk66miH0>me_rY3dEABj1-AcHq<NnLCp)K$(Vyu!l$YgA7e~-z6Bsa4+kaJ@QDr$
z1j}vU{+)XU9WK6+NsAViFcR2PU^Y4qh|hAiq-!SN$^?kTQ(S@{DhmrLvTlJID+Y$1
z#4iaJR(;MI;5Ho&8E`h~YrCw%HC(@<3Q2D(brY2>ib1E6Ro{lt`NOYXLx>?)tLi3}
z6&)1jSqrkWrWEMWwT7Ce7GD;QV2f>+6<8o?M5uU43b%z<rct<}G%Fzht1jgMjH+#Y
z%oQ#ikq*gr17}se6pfVHgjYcfY}?Dy?hp_T7A^G)5%xeJo|mZO;}>HK(9L6cYm4BW
z9HLcVIpl!^>`gZ0k8?_)py^0J`H*6dz#|n1D0mRUMM7wm_Q)~UX)>UUNeO+Xd!p*)
z`#URe`^?278{zvh=?n)xgryo-6fNPkFGd5E5}~b0n2ivBi7b$yFlTHwMJAh?$S`W9
ze3Kc!*ci?fJPW7VG0__cv+d#>N>C0A8)7HRP7_}wEDXYY;bqL6MnM>?Rx#(H8uKj?
z*8qr9EqzgOX)CeCzTxOC0p<Ib8rIQNuvEcX8H@nnO)y*mg7Pc%5Q!$$R29q+P%0P9
zCbhb>-}_kGuPbXY5WZ<NBd91;YTJu$l)A<xfpgc0&Vt*j%%RIpRPJ7xItg_^Gn^QU
zOrv0R0Tobep$U8bM18<GsA1%x;M5cvVzdYrV-JK3u7&j;IpkqT#cn{Mj|G4*VE70h
zz&PScgsEO@eq3ctd21=CLX;?myEGoiOCZaFDLiIt0_Hq{fy>wKW`gYc07Aw@14<~v
zG`N#M{K_K2ZE$@?bh3!*;T#4MXOhdSR`px#Aw(G6)iwVBVjw|yw?5+mXi<d?K;FQ?
zF_v1aZ>V~pU1y33#ZHQd7G2MPGw2AxWo!924(ZLyT&|)Cu)&7gYKXDfJ_jO77~+H$
zMO<dj5#4Dn{Sa~oTlJNKFKX{>u9#Yl5sQc(kgUa%loK5Cv9gPT_mH*;R-C56h~k=L
zf-o9f!3op$mW}|+k<~?JYenfyTt<c)XvSt*3f6wlY%vt%QFhAWseoc2q>X$V*XmQ`
z(Za$8Rg@zt%|-lL(@cAgw}-O5z}lVK{Gt#rVG1}f{1U^m5<4ei9n;<6WcNd}#D_3D
zhje=-{r$Ry4I7oC2JdSsMqXw0^ci6U?w~7+F<ughq026ACs2)rEXwq&ZI0t=Pz4+`
zGBc{k6+x7TfkJ~HR5@Ir>p}{)-|)xk146EfY8Q&a94wncTTYcKn^f@AK{&3W`3WuB
zYgs07*bA>19I;}Nz5~(J(e#|OA%x?=aOAN9)~~f$)KJTR9Cc7__?fwU9qKZ`OMpNU
zs=>wzu!VoSO^eJGU)%?2NHn2hn?Xfz(UnX)y{rry482NXGhm{8W4Ja8$lY#IrBxN>
zsx>T4k*FbP0;2`M<1eU{?OtUd)6o-CVH~bkEychn(KA~PBc8YV!zdv$TC<@&m6GC+
zuxeu7_Bc9&;2`o7#W+yqV>v`~i{}Ul1c5vV(zqHkVD`^!dty2MM=irD;%4y8fGuO(
zUUw)7wYgZFL01KskN`&Pp$DRs;lyesbEcxeXkD`3+^ZNyI$Wo(uO&_G6{D|+S%bc&
zWUNOtOa?=+tkq}SFSN-D5Hg~zm2LZA*??C<JvDA9!C91w0_CubPB?-p#Lwu|5HioT
zJ;Eji+dsqZF(zTm$Ea!U3S=vThNYwc2Z}inyjvuAnM%K6Q>G9t)kmd6fZjn%>ZWYD
zf&{$vEU|smdNeM;ZDBu?foATw2%XYtz6iJ(YPFX{z?QCuzT!!TCFUV;xlw)QUEzQ*
zzjD^y)uKEC!dtc&&Im6Xd@3^RtdRh2Fz~ha6B7{;+;4Gwv7Eyj@Z;YdT<YgbE$KN1
zG-&{I@Wfz9AbL^hM*SzP4y^R%FapR8D884d&3Q|@Tor*s3>@rcpnFon0^qqJ3aiyU
zk+dep#2rVr8|vV$cAD+fEN&(86Xqs0Lh{h<SYEbVgv!h@hu2b9JIg|~#}t3q!q6kc
zUZ~?arXi8dE+IpZ<&>M{{(4zJlvCBHZxbIgu-^2Q02Khh0@_xMUf7%lh^J84ITsuk
zn~$`vM6_VdGATn6s8;@TLyV~1Eb6A@l`>dveXtLXAjJbK{T4QbJ3_yyZXM_nf?Ue(
ze!7==cV&g>)xk6i)2U7XKw}l6<^<<b;#-HWgmw5~!4&QZE;>`87f{NURuc+EAxnpZ
z4FsgV6^bM3qDA!?eP^P4VQ_-P#2mvym9VLS`iawg7HF0W!l`WTC>=Ut>@JFzs~+zK
z!a(lOW*uD&*$q)U2AC2uX&xn7Gp^yqfL+;k5uIDEdMrw%czc3K`rR?r7fN8{>J}8S
zH1?Z@b_Tsc?5v|WPUWa{=J_y@%(jGm2m=XiQ+w!v!PS2yy*SJ^W+`vkiU|b+4u-pd
zLBY}pX68|y{XsSGg{fFj!~QLl4ZtoEzb#v~45RK;u2Nyh5ssp%S9g{Zz^nvcyTp8G
z0K~S$u8QpEyCDXEu+{Iv@QMn&rlS+nQKi8crHgzV1Ynz7Us2Lq0C58WgM)zX5jL<*
zLWnI>7>v53jY`mUN44M@!?g?w91#XQ1lSUy(1UD>9x-afJ7CPwCOu%x3DqHP8EOVI
z*oqvix=0w5k7&^mDik#7KbI-hu;>Yzj}Gl{<;6h7!v)w{CNm!N624|VCV|O(EEhCX
zt3sw5v3ousVdEgARH5tx46WV*>xs$=DWSrdUl~A$?jPFRe2UD)sGn=#w+?uem+%z@
zFyXgPrN`pAj!&6^O?C#jh7FMxxV-KvSmzkS3#=^wDzGG7Q5LH2aregR+SB6T;eykT
zm;_G8BeE{6K*51h$${bLq3R4_pf^c*RWryW$O;<Ohk|FcXif@>V6_u8;^7clEdUXT
z2+bQDMJx;TC_q>Nb;YSB`SJRTjieWL&S^-RBXV;pCJT%Jf~E;#FSbWqR7!O=LI!{)
zRxDk{dN`PDV__hs%Pxx;B%%(}2PMFgV%TM97*T~-iESoX2)EQC>UD^tsI+SZ*y7zm
zSRJ*HO}#o;U`xk%BH~k975&OR0${uBWjUtPZ?;-dRWjYxq(Qx|4HtI43AG6lvbz{Z
zA^I88ZUmg@ii9{VT510PBlao6I_aHdFyKSpl~leKf>2rLr*htlV(qJ}%Sje$&j2HU
z!y2w(L%WuECBl-iS+t4)t^%#u?NY}B8iXNNL7SPaU{y9>)2URs+cf+}Syu;@8ZJDs
zavK81D>0Lgm5!AggLZk2=7$YHE4mA{dxNgy&_LR}v^ip^30i|rw2S?~=%Tk}$JHVR
zwK}vxXZA66G0@IEY4(kk8gQVh)WWh04X1d)-A^hns2qisOt34d3qb6dDh@1th!kmo
zY&fZy1vC`p1gpB?xEBT1>N7)nX|1y6?}F^O2Fks0Dul~JWE7<jQ4t<omq?zAO__(;
z3<e%5j8J9UdAbh#<4rz-Hxw6ty2~N(nwFT?Sf(XS8>^xIrZT#k==)-zR?>w2#8i(I
zAI4ZNZ)pZyzi0Tt2FrMV*?Etk{{XgT*7PvEB)md~8-$;$N<Ft33qUk=2QNz^Gf*%B
zRTz=6)&eBmO|-1BX>U2GIhuduv8Z3DT>^=dl(mUyXd+>sVw17$h-&N=-1vz?05S!+
za@!DQp3qH3-XNu&)e^s6=(wt?s@7(fsKVO)mJQr{ROjh1P(+qX90tnMmCu!JBup$E
z<-hVAt13e5dXH+V_i;R*rUkPivq+#(;ISD&K)wc9i-&}D0D#)bQFn_o$^}AqN{(3E
zQf?_+&WOza05(#tW|4tj?z2+BHT#zO-sdTgc2vb~u9Frc@4@_wIBPpZhBxJ$=ftcc
z<mYk%g$n7EG*EyIg553REv(Z}_+T(eb#hKeP$Gd`vLCqi1^Tr9##QZ7D5C~<PBLZO
zm*s&Wcllvz-_ss7`5E^Le-VsDa&1ElGG*HqgM$uO3i%mwQLaV*036I1ca>~z6+_S{
zOojuIY;7G&Z7#Zw!IbI2QenF$y^-Btk&4-WME=33+WE5)f8LIfa9^pn`4+`scic(S
zn<<VF%<84Z;54wp$o-Lk4M2=8_XbDUTnU|<c`Q@xB{5uD4GdHx>|gd<6f2N}Aae}P
zX+xXTA!O)|dJA!Exr*Zoz}|1&OIt@9orHH}2(!&rS|zf6gBA{29W=iXp?`UX<T{CE
zSGZN>L@z+^cXR&$S#b_#d2dkzcnQi8aJc5i2z^*(G}EzVg$$ZYm9EdVlNxbs0t-m4
zsieFwO{Q@gHN8R{0{6IOv+A)yE0^c{B&DBmhxq|jYH==^;fRM2U1*l^P+saLbR*d@
zQw0&y7*qU_a0|p_vn+r(QZ%fxBf|Mgt>@7fbbny6#6`8*I5-irP%IRfxPnJ1!=fp{
z81g73_9eSfJh0rvd_rB~e_}OENTE%WT**wzD<QNIEB1*RY>rhxiE7ah<it{fC{?1N
zRppMQez=1a12XcDwP18X7|R!pfRBNh8*F<?dI=SWs)ea=1E@UHlQD5jmv+(~MRDja
zh^!QqGkA{l!A@2n2#+H&IjArg5LVoVS{RRnD@!I!<A_zvT*c{z*)q*oD4$$Xl4xlx
ziV%x!mLi>D!=Nhx0p!Y%*xI(lwQM`3AlAQ7s}3A#MCm1C61#^PN?DY%0;~msRwbiW
zKZu>z@hiXPH&G%+JirwTcoKrqGmahz$tdf`1iaqJCf#N-7>(nZh8dEqyHO4i1^)oV
zsZ0jNit@&W;I&k^nM_7oO-bm*xcCoh{-!Dklq_)?1eQ)RK-+(h2FbC>mo}`w)X;ws
zE`P)={{X~XmzVA}#eJ{~f4QA-6};kzFjHYLnEHTTWii}KNe=RCQ3Z2RnbJTymGwGN
z?1n*Xfk;^NBVHl|ic?I~f>TBhgj0mP0UU7zltO{BS;-nQCQT=;8?~0OWpQC#8Jk#y
z!IaC%C0l^=F%N+kW)2Yts9(}uAZiQ*os%_4-Lg~}Cv<|~@E6bV4A=OXRDV(6N%b(;
ziIJ*6E~6%)!Gl8~G}9sjf*4f{{Y%=1dPW7_OsSHW5y*ouU6HCA`JdMYU5znWqkaBN
z98rG*ENk}Qa(?eH@7;sueWrAnfAP=$5>vVF-NXZkKMC(gk>ZNA+B=;@?aFf8q;7xQ
zao6`azuOb%`e*)-i*CQRH&g!NoI{yI_XE0rV0PE`#OMB@IsTcjAGQww{=`}@wiAc@
zW>@_t>-(~j{{Zf42h$#J?q$#RO4i@9E@^(qcPDzB2MfRRzyzD*Uhw@g_B;XhLA%Sc
zKp>0=%Z>n`5~p%($p*6E#W}ng3yU!8AYc-tBv&frr?MG}CIF8~5xw~#s))A*Ul0!j
zFD@4+*07RM#9RFWXIl59Cj<H==6{sQp#5AAffoxgz7M2!?EZ*T1@uaf<tK0SOfvrf
zMA^6nR?rQB6tC)C3I3uP5I!M<hvs$@Z7^Sn(x=n|gn}@_T@B2T+D4(?U8sPtw2dAU
zC=uqZ@d=xa@%?2UKSZIA=3Bq=#%27=wEmO3`c4<|D(CfzsD7}*)UAOyKS+(&>U3As
z0Keq}RU*cS6JON9#q~4K=wq}$uxP5U^_}nQ6*oTFdV&d<VB*kyK$NPDq)zesU|U-g
zY5+!XSAEOa58R|xe{c$4=*#n;+~f*t%DA{t+YQ<D1`?uvi0YB<R#&(7fh-@m8H;_!
z>T==`ZTp1R_XK%j8jG4tMXqNeGinjk<rO;9sK6Hqd4i39Ww<r-DFB%ZMma?liEhh^
zOPe!z{+P;y;HY$@wO|Ur$iCsMTsoIAu)(hkebLNRC@?bFE?%!NgnCNgFtK@>$jHiz
zOaA~Rt6_)|t|}lkDaRa2qKd&KEa{LKr-V;;JH`NFs*<}P4Txc8KZ>A=5?4Ed*eya8
zo0vxKfN-h_$Pi4DT8kKfZf?W$RO3_ym^F!4GUE(Y1Z<A6Q%(AU5By8(C`SJPh}C#T
z66G@HSYhHm2Xsk+pq6w`Q98t=58@b@Hlv*i%l`mkR-hOE05ZaI<`cvW7Oru2ST0Bq
zfCv-+0H_AvxJJj^_CL5T+kW7+{^pnZl`SBHOe%-2P&hP^(xCFffEOJDdrR>Hau~x!
z)HwudRu~B**roe0lWt~cNOr+NWyc@wsP%*6Ghu&W0cF3HW&kVV2)jQ~jXXkY`XgE&
za2$Vf{g2!_Ke(<HjA(tq3t!yPM5Mu#DM-3yDgy~fdW|>t8-V`in}4|K{{Xq$zi}-u
z_XJYmxKJ(T(fEBSC6D=>hC6TML!<hDT7OJYfmUJ$;O0jWLAYSt7R3<C#8q4qs6!zd
z#1y6tjV59D8%$e+TbMAClpBLlR%{~$ieuCUY#<#@q!<>)QQ3?$3yxU|T{zvif})4a
zMZjZr{h@rTnINB0r#FS#AgVu7sr+H~P9zOq`7#Jc?LS02hy0wU`yh_rvRvgKaHD7i
z{{XD@{{Ui3m+lhC{^QAK+!p@;>^_*ZE5Q*u%9R=g5}zsEamGP2k~^3yayvJi7-Hm&
zcM%#Na0$QKHMD-%X(V?@MBnxV!c3VEU-eEoD>Z{=5XTtZp@{5AM$g$l^a=j}ph^Q6
zu4xp2VCVfJB(Lsw8J+%dvfUFv$LNc_5yk}c5u;I6jT?h1B$UexQ;2iP?O3td9Tv5C
zk-Vno7q)j%cWJtCH%@!8qSPbdOh$s{KdDOD`iy2f)0~V;sI8&f1{V=VsSdyT%|$wZ
zRw9jImkD7I8oPt;16Z|U4v?M9EJUaisAB}rmIo#}vcqQB0c|d9oaHDufG|Rt&<Ny~
z3UjH8h!6sI-XX%MHV6SH|HJ?%5di=K0s;a80s;d80RR910096IAu&Nw5MgnVAc3K=
zFu~D4;s4qI2mt~C0Y4Cz{{V@z5+tc!E6qxkEApvbMi-fShyEs4mKc#Gc}Sn&30_z8
zvJZ<q47-DVcjn+FN|oWS6)IPnkBs;d;|qgti;9g%sfu03To^Y8$#HWngl=6i{3{Wa
zAMl95OYn%IzX2{>%gy-*%uh+@NH(TDm-v{g*jt(Fy@PrAoXhnXkYjfY0Ba4*DFO!e
zXKf9CrZSY3D{wXVRAN-G2@~<J2@;_gv3LW*k5ie21z)syq^@7;KJ*>jT!^x{<{J*M
z1b`8Op0qSe!FAb{vC=GKDFTX6ISKWqJrEVUqo{iS0LVgs9-HzJ{3=(9^Kzxfz(ype
zg32P0nd-a;FU)0XZsLn{du5APN@_Mxqm@-mg11Kte&yb%E6bQ2@l=6)moU7wKrF)q
z2!*K&%KNy$P6~6V4ni5F>Jhe@N`)u@H**KziY&VQQ7HFH7=a%(E5f2gBM8SZaV`dC
z(PGCGE(SX7dLd%=nC%R81Phtlp@XR-$Yq7xOj<O_qbaL+fUM5O=|<5jp|5Gm6%ORR
z%-GT_*Dm<ZEyc?kbaK-uS_O3&YRc=L;p!oxvnn}NULq|pvxX+ZD<U;0GrgF&L{K|B
zmn#1N8i^9TGbw#bf#vX#-IPWxTzs*mR<NmFGQyIe02D0?8tZ7l(L^^a1zLrI<qg42
zJ1_e{5V+4p9H%gn#}J#hPZu5vQy9T`2$E*jgD>#|1f`?2r~$W2T@!aN>|Cwh2;G@8
z>M*$rwxXyMrDKSCVYH;diLe$iSyB9Jzep*q89ZDFpMpw`p(u%{Ur{_T+|XM%%rHj|
zJN(L6_cmh+I?NHnY_C+p)vUvSHf*e^+;O;7yD8|z0?^?uTdfs>aAjOU3XNR>)$-JE
z9f1M|E-qgMw?kCkWlRN!dR|G$08N)g_39{urMI|Hb}2_zl87w6<CGc(-I|8LY)j89
z9Z*yDc0{bFA%c|*btI`#apXKCd>PzGlA=ajYD)g)NbU^G1+g`*npfK~To|%o27mhl
zEZ=gV&vHD<B|X`U&2)igwQ(y6F@IUYiMIZoolY2iQ8$ASv=1@QwyC1sMvwu~GD{>3
zy{b`K-Fbn%#S6tGOkw&=Wx5%JcqH_CgoR?t?qvQ7{^27UxCzIUiREm+C5kSUmDjjP
zqD@xYnp(Oo{llduEB&xz`!29cZHzL1M7pdpY#-AeI#%s6!{as!ZxHRk(TQL~YR7RK
zjy5!c)!cPw@ho|$#_Agcw$T_sU<-tZ4P&^F)N3P%Hq|YDpyZ|kh@z^%J=FJhEQck{
z68u++@sT_;h(p5<YhUjwE}E5sshr|mPfCvDjp8O1Z<bhtTm?d`ixL+x=&}Iy>SQX8
zxR^las3Rq<V{+#I0Ecj@fugW{%!BeQrBamx5Yw4uxwtw;$P{nkFS#%kYV{G96)Mg7
ztU_EPLIxuN6Tt_Bxd7Z;vkO(Ts18c(5>#R?utLD1xQ3nMwz+PixHl^dAqQAx6J28p
zK4mZ;yMq<`S^RO6M~=oNZTpG1fppAK23{_g+~Sd!CSM8;pw2>e@<Iyb#QavJ%g2p?
z6hBhEHpap!nN0YK+c|_`e`9aKAK$fBcCn5O(WBsYFcE+P%<v2Q749RHPjr!Jssg>m
zO?D``NQRtBHg}Sg{{RtB8t*hfqWahROTk5PSeUI2p$-&_m}r#;;4US_nS6dJa;l<A
zT@U4yD}&n|GAyT4(*nUtm1DBG9_Z>Hp(zPn)ramVO;Av3sonDxfcId)+r6@w5({8;
zNtjTqg|7@BM8TI!!rq|@=4nm07@(Ow#jB!Lwu++-N+7)I0ByKs7mgE%3u^-T_<Q`5
zf8n4pF4P(w5lq=oOU@>*%crQ+pqH{ORzVgXg4qm18BugK>Kg-WQlbW0W{53b^uRJI
z&5iROMwd2_hQ+sSL2W|bP0R*Tu5!W%3SKB2A0ZtU)A=}_=Po+;8ac{KXz$4b(vFd_
zBI?SFByj!%3V(!Hos$cS;CC+{1GYF-FdfuUq^TNeSc53Iti^A#)n|Z3V|a_J{@DDs
zWfgG@9z}wV;XuOb@~4uCLYD66ztn0VSxww6;`LP%VE9fLMu7?k`^+mX$XhC?uB}G(
z&Uj<jckQoGGl_b+s@Z;vhL|X&fb>PoD`9VJ%f;x0%mnm_lG72b%JEP{m;BI5Noz8~
zRa`dMP!KDsw7FP^eO)4@3YfugxPg?F>#p4*!mMYkO><C6o4T8`o9ZZrGB`uJT|ix2
zw48poacw$jE>gING&rzj7%0KXaK;hfGl+ExcS<6Sp}^e|rCsbF_=Pq1P(QneGW@P(
z)q8EC0%%9kD%3hi_2M826TphYHhu%~C-F9l1T5ts*z2p6ti6@1nSrn$7@0faVYi#P
zOSDyNW4Og&6^tv<8Qee$Z{k%4>Wx04@OIjNshZtbE-UUdvN|8`r4^H<ulB$&;QA7k
z3-2(7A+pT<K*#sZOtJn;2=Jbl{fic_S-iJ$LfP0<r3p3{QD-ohFV~I#0E0Ayx=TpD
z2~ozafEn`35D;t|ZUoYbqZZ22V>++)k+zbUE)ywAUONd@?}##TRc56HDd_^*e&e-y
z5AHecK}Yjaz(MU9S*jpCK5AY(@VGw9h1auX-Ah6`Mm=c{-}{FmFBp%i7ihLz)H5jq
zrdVSEYY}tRoEy2Pi-Y2`AIW3#Eu|3mW{r0C5goK%F?SFS2MN?7+VzSb#1USM7nUSU
zrR74rK<y3=Y8Z3ogvX;agUYIXIFyx{T`;tkq$@?K{{TuuJ7Vew)@4A<YnDep=q1^#
zIR4S#kGe|xm6~fqe?+@;6o0}Qeq&IHSkpjItIR3Cg<_gi+5KY<E9n0KOc_tG+@%~C
zZA8u^YeAQJVm|^5U&vzi(OQ86WzmdWD`LbXSRs$<TCU51LZU)l0_f(W>kvQ(+C&Zx
zL#5~9AR9GRWa?@ex(&nxFsJXih`U2U^wVJJJBdO$1-;&?VZgbRJp>@Qws#yawu0Yp
zagn@T(2yDkZk5N#Lvgaz#J(-~h!k1PP}9Av$JcgVW;B5cDOqSy^H8>5YX1Ot91_$M
zB1Y)Qw@2w8p#b6xAHiRZsjbE+`%VMUO3ob+lPb01_Cz4IP~z@#up`Iz;ju3Wr?O*!
zuCWgYE5xEvy}QW?X=TO1VsN2xwM<kzlX}ICd?8AZI}7g(#F(vE*Tuw0BAPlSdck>R
z-9w<$?o(uZ+rm(0w^8eWZUSP=Pykz%Wm+$qgp%qMzBZjiHTD)B(kMPk{{X@&LPGS6
zrKeWd<YnlOO)-l`nMvIL0KBs}jq-$3b^arpOneNmTC~|QrP0K2u8VOFioSG5giU4u
zISj?Ygs@&vvM|~OmLFZfl!Yt0nDw^(OhLMgBhKK!;sCU*DWWpA7l@;%uf@mAg%wW}
z>)avWSr>#w`j_fospyyLdORjNuTM;Ls<wL^R2dS@Rl*r$N)afrp@vmysbPR#qXTpO
zMJ4#kioOtOP4yQ^Sj?@X<#h_#EK8EEF$k_~Uhy~8`+qTliH%z;3x2TxU8xbR>?~sv
zf`BLphZED_5+m+_62rwE$Jz#SDcnS6@^z*=)#zlFz+Ac`2w2=zA-;ofD|S1S!E(F)
z*>EUtB}>a^iilP<rr)`&4f0ZaM;;C|s>7-&$xr40+x!o67=4(q^`L{m^ie5SX9A;}
zV>NKAMxv@v8d=yTOg<@P;L1j(BE&_LL(W+jViAPnrX2{KqZ|avF>PN)DwIGB9_|)X
zwe7^ZPbqHCxqVmBh+DS&vu}&r62<yOG)sWj;e*h_nv24?8Uj(H>qJKKeX!N9ZL?|h
zK~)txF$oW7caiRi?2NPWi|$(r>LuYR3{@;ygkYlbolb~RBOxls!>hSh$C8z2!c~wJ
zAe2aCUlDL@fksB9uTXA(NM@ou5N_iM@`toVDxQ{G!duLMYlBmc0jT;v)Ls6QE>r3S
zxcY+feL=K7p<1)*J%`i<X+Kk@)1qmF;>i*la^SoD&x;3|L|lQZ$JsF5$FYZd36$27
z)pv-~hJt&8UVl^n0EmmX>Neb75xOAlg;ju#a*<<Gvohhi)y_zL!#Y0Yjw1ds$3VUX
z4H4)d#`=_}5j&9VA{;^-o;KYQ-4fBFR9p!u7Zu{Ka^101tDd6<vGrx*rnjuaL}#cX
zvY!pG#x#PIvfanRSi_izF6F(!T(q)kDjo|<LG={EjieE9dU#uj?jUfO?qrvWkEU`e
zIf#{Y7&(`hf`H;akSiyJF@wN4=${56AmQ`Tgktzm4&m)6?h~jB@lOiL4r8c9ghGf5
z)T0>kAc-iyClJ&n5b#59mx;_C7=%NqMQTw$|HJ?(5di=K0s;a80s;XA0RR910096I
zAu&Nw5MgnVAb~KU!9cOm;qdYQ+5iXv0|5a)5c6N?#t?o3_>lhqT1#OAer_L${;H*T
zOiOVIzauUmh0B-t4R|9f@GTE8!vn^!JXA?csE8FSSb)pN@mwFo+<yTfUTRdpj?R~T
zK^A@-vuqy$9ymCyOk?vyC&aIDF1raKIlPNf$lB{dbo3AWOR9G*@DYCtg9rF-TjU?a
zqQCXPY!`S2XxPkD0&vQjOF*`*Wg7?|@{SbQ>N6q{TM-uotJN#r$KTL!#i>RqmWi@y
z75*bH_(CUz_*DTcfE1j;gW!Tnz(E?_B{6%OyyD7+MXv90fYGA3n*$8zZFf)=b{1Q>
znOJtbexXqDVfQ;%*i6)S8-u17?o%<<{=&;qYVdL6aQrS3{{SkN2wMn!3U>bhh)lwe
z6b1-Z5k<GIBSPeW+C^~dsdE*q9O+l8>K$}l^rj+EAl8nWi6~ru>*80J8I+DjcPJ7d
zHvk-$sCY{pBQA=Hr!^J=tvyO*%15LeemD6Lftg7HN+RwEX#@NaKyX62jNKl+M<6kF
zvtC6_TD5a_WrAxT?2oo`IerFl7RJsE?N9=qLR)0jdLdY{ynvPN<%&fkRAM*;FPY9R
zBCLMQ7C15F7FWz$jhl=m;w;L~@euF`Wk8$U_R34#twVPeY@#cZm_obkbqQlDt*l@L
z>o+w~a?L&jrh)9tCD_i;rTxkx?JRt?86m_@rO;<#FkkkCz-x#FUZqOm62c~}C$S?4
z^o7l|UvcDM+;Wc4QvU!m!3<d6<kYae5}Ww(^@|j-9B(j2<9@0v31joQdAL9NnER`%
zk8u6Qsw<FXWHhVg?xR+>afB;%a?!oPfW;N_19zq+2$m6aM4~X$a<hm<$7kYOVxt5<
zFeO6dfP50OiWpqV*v8|QC_4xVqAQ?N4eBEgQ#hp*3PE6}+$(LlQn6PwE|8|+X4@bv
z5oLu$NuDUiv2m*zgF0p+9X@s7UVJ~2LE_)5u&xy<qFp>nv`cpg7u*FbLM;|pcZU!q
z+_KFI%ufd|?I}it)N5iOt#UzYDZyRK2mHoB)IE?6_kW815rjVJW~QN{@CIY1pNK1V
z7y<P;1eLOnl_=8{E;4H(#j5j$*sx#lfaB?hU75$xOVKVZ2+Ea|WsN$4+8ri^2670R
ze=2xTUejs-y^*=U62qxun5DxUmvL|<482VsEMA5J>QV;<IWM^56}2(<+B+5?{Ktv_
zl*$+By7v*W6wuBxv-_2{{{W@1R)v4%#acb{eM>cM9FR;}{K4AFS!r^$EBMGA>-s)t
zY>;RrKqx$KTZ-BY6p8n9G5-K=Vq50Lfq{8<)U6NO=ZIos*Cj1tNTA_~vR^*Zlg$oT
znfYrV=$44ff)9<5ElsBHWV*UX3r&H~KH{;Eha+sAei!^?4}jJ7FagyUjLq$pXL7b#
zLoD8^Bnw0_?q0<Ut5}m2Rkpcmk4EC5YuZZ)TG}^J>8%b1IaywYIH)M0LZyhh2Z(l1
z8Ms#koo{hSV)t<?iQ=VpKEmb|o}5%8Q*qKi%ruPE5jXNi0;qEF5)GbjtAUm@PGvHo
zth$8?hJdGBvm@_H?x3o^mjQ2YW_}5cTZ^l!JGNy~ZjHde6>6mmDHjz8&fP-{S=k)|
zYl5od!EN<2DIf~HF;~nQva(o@7!C|HXiSy3nsIR04WG<{Bs#>RiyDfi1#0IKxKVZ%
z1Yy?SXj+}6<)|i`u4Bs(F)G6x!vljbgE-k8@m<Y^(51SK3NRMG_Xky8iouwlXE{lX
z2FF-SbiJ*pt(CePV2B>uEt_lgVgCR#S?aa_0K~{t_z)ufXt`sz_Qm;S(i2t0qxdiK
zM71@6bO(bgK^v)!2*~$SC@=(;j$2Ep(seXpgVAgEe=!|RMyrVIz5eClN@;2-6058?
z128_OqP~KoO}KX}><P^ffnyF~IbWcbTW^SW{o!$++cJxN%blif8SF0q0DqY`2g<@?
zp-N#aAyuYXdW!?*C~^1*Mia_{8nU;c482PjQRJb9+~bELfwD}J7O=p|237fuJ?AWP
zC>)4f*C+KVxI~roVhBt0Wj^XNnk-UT^%E=OuJ4P4=}+!u$>_OBoNYWEPD<Z6i0L^<
zpM&^ac)4(?bkx4Emlg=%q!>v3TuOOQ>>VNQN@gC+N@ZMwFi1B_N7O2)b4Q-qT&4oy
z4wME3F_7u#iv`y1rPV8P(&Dm~DDuB0s*C`qkM}VPU@s^9YBTm!AvkQaPRNjPtFa1~
zANp4$V{{&y{>aPME+0rr1^8vf>Hsyv8*}*|mpT6cM6A(u`)25GsNL!mL@7|Q>R3Hi
zt#K08()mOzDPw6KUO^U^uGR~<=n{d6@hl-d;^OWKJA%f)xB-xgQQuH88)GbbhTzm%
z+U~HcikcSGx8(#;^mL2%7uy@@mX_`cC<E?UV7>d9Maw9bQt*<c9wRB`hm*k*1govT
zEO%(W;N!5<@=80pK>D4pe}+^NvcFdgw3p<o8CtD@rU6<v`Z|MyDVja)s0&VI9010Q
z5*D}hENJ;|J%-{e1v4#+En-><Pf2+)!%@p@#a7ouY+RrnmaPehJjJ8Bxk5JO;hONC
zYFFazl5Wk6MGe<D+<8~%Aivld2um|vLsgu}Q5LPH3dw^B5yMA#h%*p)W*!L2+p2<#
zV3iE!V9F8N+^dv})YK;Q=wjvz>yIL2@REqUE(qr}fWTt=hKFS47w)%+w-SqHMMT2c
zBFULanMtT@0AemtD7ls*)k-mWoNz&!VmNX9;woBfl`TH=1sTBv*rT@CH!SwYwmsep
z+Z#${p#;931PO@ey}*WV(}}F8w&gPa0J#$D48-lJj0n9^n54ei2wPM2D#2t<f$6xa
z57{PrjZQ#&g={lkEjw;C7!hp<+R9x@@FkfUiAc)XYXR^eM-tFk12~r>(GLk4FB(CT
zr9=Hqtv@6?1}$eLMpV!%MrClA-~6RJgZ?{*DMQp~0(vY>7xsV<FKWe&pSidv!7w7|
zqG>+ZjkbGp8;bQGWW2XbAc~)<M9*+YtN{k$)tGbO3Y4fkS#*+v!dK#2W$76s300bb
za>X!?=duCjEp_Abi&1gPL%t`t2>N)Fzo`OTzNZ2LJ0cr1_zC|2)f21t9@pGnkKB4+
zxR&4Ce-GR~UvWhj{m$yjO|gD_H>ML;q<wK*T40p(SV$cZI!CHq#0=YVM#OgrE}$nL
zxPRJ2>HC!GkGW`Cg%a=LH(0Q%A7)VV_XYm|ym{;UjpO@>aXm4k!6YlJI{YWHe9@1(
zQE>I~PkC<<>W97_$@@!?efaE^gsCeL9d2;caVdnkxVLN(ghwj?;wCGF4M#0P(GtQ_
zsCWRxdWH29vSX-+Qj(p(F{GkW9w0(RdzAMB+<m3Y5cP$)g2wB^5;m&11Gu?p7u?%k
zTRVg-?SOX}ASkFWGS>&xAAuK^>RV8JEqIpoEgH7&JVFuQkn+xa4-DZALNJ7P6^+ce
XuW@Cxg5$uPMvz+YuW(o{;LrcruaYXD

literal 0
HcmV?d00001

diff --git a/candle-examples/examples/segformer/main.rs b/candle-examples/examples/segformer/main.rs
new file mode 100644
index 0000000000..b1a89e11df
--- /dev/null
+++ b/candle-examples/examples/segformer/main.rs
@@ -0,0 +1,109 @@
+use candle::Device;
+use candle::Module;
+use candle_nn::VarBuilder;
+use candle_transformers::models::segformer::{
+    Config, ImageClassificationModel, SemanticSegmentationModel,
+};
+use clap::{Args, Parser, Subcommand};
+use std::path::PathBuf;
+
+#[derive(Parser)]
+#[clap(about, version, long_about = None)]
+struct CliArgs {
+    #[arg(long, help = "use cpu")]
+    cpu: bool,
+    #[command(subcommand)]
+    command: Commands,
+}
+#[derive(Args, Debug)]
+struct SegmentationArgs {
+    #[arg(
+        long,
+        help = "name of the huggingface hub model",
+        default_value = "nvidia/segformer-b0-finetuned-ade-512-512"
+    )]
+    model_name: String,
+    #[arg(help = "path to image as input")]
+    image: PathBuf,
+}
+
+#[derive(Args, Debug)]
+struct ClassificationArgs {
+    #[arg(
+        long,
+        help = "name of the huggingface hub model",
+        default_value = "paolinox/segformer-finetuned-food101"
+    )]
+    model_name: String,
+    #[arg(help = "path to image as input")]
+    image: PathBuf,
+}
+
+#[derive(Subcommand, Debug)]
+enum Commands {
+    Segment(SegmentationArgs),
+    Classify(ClassificationArgs),
+}
+
+fn get_vb_and_config(model_name: String, device: &Device) -> anyhow::Result<(VarBuilder, Config)> {
+    println!("loading model {} via huggingface hub", model_name);
+    let api = hf_hub::api::sync::Api::new()?;
+    let api = api.model(model_name.clone());
+    let model_file = api.get("model.safetensors")?;
+    println!("model {} downloaded and loaded", model_name);
+    let vb =
+        unsafe { VarBuilder::from_mmaped_safetensors(&[model_file], candle::DType::F32, device)? };
+    let config = std::fs::read_to_string(api.get("config.json")?)?;
+    let config: Config = serde_json::from_str(&config)?;
+    println!("{:?}", config);
+    Ok((vb, config))
+}
+
+fn segmentation_task(args: SegmentationArgs, device: &Device) -> anyhow::Result<()> {
+    let image = candle_examples::imagenet::load_image224(args.image)?
+        .unsqueeze(0)?
+        .to_device(device)?;
+    let (vb, config) = get_vb_and_config(args.model_name, device)?;
+    let num_labels = 150;
+    let model = SemanticSegmentationModel::new(&config, num_labels, vb)?;
+    let segmentations = model.forward(&image)?;
+    println!(
+        "segmentation result shape {:?} which should match [1, num_labels, height/4, width/4]",
+        segmentations.shape()
+    );
+    let labels = segmentations.squeeze(0)?.argmax(0)?;
+    let labels = labels.to_vec2::<u32>()?;
+    println!("labels {:?}", labels);
+    Ok(())
+}
+
+fn classification_task(args: ClassificationArgs, device: &Device) -> anyhow::Result<()> {
+    let image = candle_examples::imagenet::load_image224(args.image)?
+        .unsqueeze(0)?
+        .to_device(device)?;
+    let (vb, config) = get_vb_and_config(args.model_name, device)?;
+    let num_labels = 7;
+    let model = ImageClassificationModel::new(&config, num_labels, vb)?;
+    let classification = model.forward(&image)?;
+    let classification = candle_nn::ops::softmax_last_dim(&classification)?;
+    let classification = classification.squeeze(0)?;
+    println!(
+        "classification logits {:?}",
+        classification.to_vec1::<f32>()?
+    );
+    let label_id = classification.argmax(0)?.to_scalar::<u32>()?;
+    let label_id = format!("{}", label_id);
+    println!("label: {}", config.id2label[&label_id]);
+    Ok(())
+}
+
+pub fn main() -> anyhow::Result<()> {
+    let args = CliArgs::parse();
+    let device = candle_examples::device(args.cpu)?;
+    if let Commands::Segment(args) = args.command {
+        segmentation_task(args, &device)?
+    } else if let Commands::Classify(args) = args.command {
+        classification_task(args, &device)?
+    }
+    Ok(())
+}
diff --git a/candle-transformers/src/models/mod.rs b/candle-transformers/src/models/mod.rs
index a5f03059b8..6833bab0f8 100644
--- a/candle-transformers/src/models/mod.rs
+++ b/candle-transformers/src/models/mod.rs
@@ -41,6 +41,7 @@ pub mod repvgg;
 pub mod resnet;
 pub mod rwkv_v5;
 pub mod rwkv_v6;
+pub mod segformer;
 pub mod segment_anything;
 pub mod stable_diffusion;
 pub mod stable_lm;
diff --git a/candle-transformers/src/models/segformer.rs b/candle-transformers/src/models/segformer.rs
new file mode 100644
index 0000000000..a57bfa9501
--- /dev/null
+++ b/candle-transformers/src/models/segformer.rs
@@ -0,0 +1,705 @@
+use crate::models::with_tracing::{conv2d, linear, Conv2d, Linear};
+use candle::{Module, ModuleT, Result, Tensor, D};
+use candle_nn::{conv2d_no_bias, layer_norm, Activation, Conv2dConfig, VarBuilder};
+use serde::Deserialize;
+use std::collections::HashMap;
+
+// https://github.com/huggingface/transformers/blob/main/src/transformers/models/segformer/configuration_segformer.py
+#[derive(Debug, Clone, PartialEq, Deserialize)]
+pub struct Config {
+    pub id2label: HashMap<String, String>,
+    pub num_channels: usize,
+    pub num_encoder_blocks: usize,
+    pub depths: Vec<usize>,
+    pub sr_ratios: Vec<usize>,
+    pub hidden_sizes: Vec<usize>,
+    pub patch_sizes: Vec<usize>,
+    pub strides: Vec<usize>,
+    pub num_attention_heads: Vec<usize>,
+    pub mlp_ratios: Vec<usize>,
+    pub hidden_act: candle_nn::Activation,
+    pub layer_norm_eps: f64,
+    pub decoder_hidden_size: usize,
+}
+
+#[derive(Debug, Clone)]
+struct SegformerOverlapPatchEmbeddings {
+    projection: Conv2d,
+    layer_norm: candle_nn::LayerNorm,
+}
+
+impl SegformerOverlapPatchEmbeddings {
+    fn new(
+        config: &Config,
+        patch_size: usize,
+        stride: usize,
+        num_channels: usize,
+        hidden_size: usize,
+        vb: VarBuilder,
+    ) -> Result<Self> {
+        let projection = conv2d(
+            num_channels,
+            hidden_size,
+            patch_size,
+            Conv2dConfig {
+                stride,
+                padding: patch_size / 2,
+                ..Default::default()
+            },
+            vb.pp("proj"),
+        )?;
+        let layer_norm =
+            candle_nn::layer_norm(hidden_size, config.layer_norm_eps, vb.pp("layer_norm"))?;
+        Ok(Self {
+            projection,
+            layer_norm,
+        })
+    }
+}
+
+impl Module for SegformerOverlapPatchEmbeddings {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let embeddings = self.projection.forward(x)?;
+        let shape = embeddings.shape();
+        // [B, C, H, W] -> [B, H * W, C]
+        let embeddings = embeddings.flatten_from(2)?.transpose(1, 2)?;
+        let embeddings = self.layer_norm.forward(&embeddings)?;
+        // [B, H * W, C] -> [B, C, H, W]
+        let embeddings = embeddings.transpose(1, 2)?.reshape(shape)?;
+        Ok(embeddings)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerEfficientSelfAttention {
+    num_attention_heads: usize,
+    attention_head_size: usize,
+    query: Linear,
+    key: Linear,
+    value: Linear,
+    sr: Option<Conv2d>,
+    layer_norm: Option<layer_norm::LayerNorm>,
+}
+
+impl SegformerEfficientSelfAttention {
+    fn new(
+        config: &Config,
+        hidden_size: usize,
+        num_attention_heads: usize,
+        sequence_reduction_ratio: usize,
+        vb: VarBuilder,
+    ) -> Result<Self> {
+        if hidden_size % num_attention_heads != 0 {
+            candle::bail!(
+                "The hidden size {} is not a multiple of the number of attention heads {}",
+                hidden_size,
+                num_attention_heads
+            )
+        }
+        let attention_head_size = hidden_size / num_attention_heads;
+        let all_head_size = num_attention_heads * attention_head_size;
+        let query = linear(hidden_size, all_head_size, vb.pp("query"))?;
+        let key = linear(hidden_size, all_head_size, vb.pp("key"))?;
+        let value = linear(hidden_size, all_head_size, vb.pp("value"))?;
+        let (sr, layer_norm) = if sequence_reduction_ratio > 1 {
+            (
+                Some(conv2d(
+                    hidden_size,
+                    hidden_size,
+                    sequence_reduction_ratio,
+                    Conv2dConfig {
+                        stride: sequence_reduction_ratio,
+                        ..Default::default()
+                    },
+                    vb.pp("sr"),
+                )?),
+                Some(candle_nn::layer_norm(
+                    hidden_size,
+                    config.layer_norm_eps,
+                    vb.pp("layer_norm"),
+                )?),
+            )
+        } else {
+            (None, None)
+        };
+        Ok(Self {
+            num_attention_heads,
+            attention_head_size,
+            query,
+            key,
+            value,
+            sr,
+            layer_norm,
+        })
+    }
+
+    fn transpose_for_scores(&self, hidden_states: Tensor) -> Result<Tensor> {
+        let (batch, seq_length, _) = hidden_states.shape().dims3()?;
+        let new_shape = &[
+            batch,
+            seq_length,
+            self.num_attention_heads,
+            self.attention_head_size,
+        ];
+        let hidden_states = hidden_states.reshape(new_shape)?;
+        let hidden_states = hidden_states.permute((0, 2, 1, 3))?;
+        Ok(hidden_states)
+    }
+}
+
+impl Module for SegformerEfficientSelfAttention {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        // [B, C, H, W] -> [B, H * W, C]
+        let hidden_states = x.flatten_from(2)?.permute((0, 2, 1))?;
+        let query = self
+            .transpose_for_scores(self.query.forward(&hidden_states)?)?
+            .contiguous()?;
+        let hidden_states = if let (Some(sr), Some(layer_norm)) = (&self.sr, &self.layer_norm) {
+            let hidden_states = sr.forward(x)?;
+            // [B, C, H, W] -> [B, H * W, C]
+            let hidden_states = hidden_states.flatten_from(2)?.permute((0, 2, 1))?;
+            layer_norm.forward(&hidden_states)?
+        } else {
+            // already [B, H * W, C]
+            hidden_states
+        };
+        // standard self-attention
+        let key = self
+            .transpose_for_scores(self.key.forward(&hidden_states)?)?
+            .contiguous()?;
+        let value = self
+            .transpose_for_scores(self.value.forward(&hidden_states)?)?
+            .contiguous()?;
+        let attention_scores =
+            (query.matmul(&key.t()?)? / f64::sqrt(self.attention_head_size as f64))?;
+        let attention_scores = candle_nn::ops::softmax_last_dim(&attention_scores)?;
+        let result = attention_scores.matmul(&value)?;
+        let result = result.permute((0, 2, 1, 3))?.contiguous()?;
+        result.flatten_from(D::Minus2)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerSelfOutput {
+    dense: Linear,
+}
+
+impl SegformerSelfOutput {
+    fn new(hidden_size: usize, vb: VarBuilder) -> Result<Self> {
+        let dense = linear(hidden_size, hidden_size, vb.pp("dense"))?;
+        Ok(Self { dense })
+    }
+}
+
+impl Module for SegformerSelfOutput {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        self.dense.forward(x)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerAttention {
+    attention: SegformerEfficientSelfAttention,
+    output: SegformerSelfOutput,
+}
+
+impl SegformerAttention {
+    fn new(
+        config: &Config,
+        hidden_size: usize,
+        num_attention_heads: usize,
+        sequence_reduction_ratio: usize,
+        vb: VarBuilder,
+    ) -> Result<Self> {
+        let attention = SegformerEfficientSelfAttention::new(
+            config,
+            hidden_size,
+            num_attention_heads,
+            sequence_reduction_ratio,
+            vb.pp("self"),
+        )?;
+        let output = SegformerSelfOutput::new(hidden_size, vb.pp("output"))?;
+        Ok(Self { attention, output })
+    }
+}
+
+impl Module for SegformerAttention {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let attention_output = self.attention.forward(x)?;
+        self.output.forward(&attention_output)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerDWConv {
+    dw_conv: Conv2d,
+}
+
+impl SegformerDWConv {
+    fn new(dim: usize, vb: VarBuilder) -> Result<Self> {
+        let dw_conv = conv2d(
+            dim,
+            dim,
+            3,
+            Conv2dConfig {
+                stride: 1,
+                padding: 1,
+                groups: dim,
+                ..Default::default()
+            },
+            vb.pp("dwconv"),
+        )?;
+        Ok(Self { dw_conv })
+    }
+}
+
+impl Module for SegformerDWConv {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        self.dw_conv.forward(x)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerMixFFN {
+    dense1: Linear,
+    dw_conv: SegformerDWConv,
+    act: Activation,
+    dense2: Linear,
+}
+
+impl SegformerMixFFN {
+    fn new(
+        config: &Config,
+        in_features: usize,
+        hidden_features: usize,
+        out_features: usize,
+        vb: VarBuilder,
+    ) -> Result<Self> {
+        let dense1 = linear(in_features, hidden_features, vb.pp("dense1"))?;
+        let dw_conv = SegformerDWConv::new(hidden_features, vb.pp("dwconv"))?;
+        let act = config.hidden_act;
+        let dense2 = linear(hidden_features, out_features, vb.pp("dense2"))?;
+        Ok(Self {
+            dense1,
+            dw_conv,
+            act,
+            dense2,
+        })
+    }
+}
+
+impl Module for SegformerMixFFN {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let (batch, _, height, width) = x.shape().dims4()?;
+        let hidden_states = self
+            .dense1
+            .forward(&x.flatten_from(2)?.permute((0, 2, 1))?)?;
+        let channels = hidden_states.dim(2)?;
+        let hidden_states = self.dw_conv.forward(
+            &hidden_states
+                .permute((0, 2, 1))?
+                .reshape((batch, channels, height, width))?,
+        )?;
+        let hidden_states = self.act.forward(&hidden_states)?;
+        let hidden_states = self
+            .dense2
+            .forward(&hidden_states.flatten_from(2)?.permute((0, 2, 1))?)?;
+        let channels = hidden_states.dim(2)?;
+        hidden_states
+            .permute((0, 2, 1))?
+            .reshape((batch, channels, height, width))
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerLayer {
+    layer_norm_1: candle_nn::LayerNorm,
+    attention: SegformerAttention,
+    layer_norm_2: candle_nn::LayerNorm,
+    mlp: SegformerMixFFN,
+}
+
+impl SegformerLayer {
+    fn new(
+        config: &Config,
+        hidden_size: usize,
+        num_attention_heads: usize,
+        sequence_reduction_ratio: usize,
+        mlp_ratio: usize,
+        vb: VarBuilder,
+    ) -> Result<Self> {
+        let layer_norm_1 = layer_norm(hidden_size, config.layer_norm_eps, vb.pp("layer_norm_1"))?;
+        let attention = SegformerAttention::new(
+            config,
+            hidden_size,
+            num_attention_heads,
+            sequence_reduction_ratio,
+            vb.pp("attention"),
+        )?;
+        let layer_norm_2 = layer_norm(hidden_size, config.layer_norm_eps, vb.pp("layer_norm_2"))?;
+        let mlp = SegformerMixFFN::new(
+            config,
+            hidden_size,
+            hidden_size * mlp_ratio,
+            hidden_size,
+            vb.pp("mlp"),
+        )?;
+        Ok(Self {
+            layer_norm_1,
+            attention,
+            layer_norm_2,
+            mlp,
+        })
+    }
+}
+
+impl Module for SegformerLayer {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let shape = x.shape().dims4()?;
+        // [B, C, H, W] -> [B, H * W, C]
+        let hidden_states = x.flatten_from(2)?.permute((0, 2, 1))?;
+        let layer_norm_output = self.layer_norm_1.forward(&hidden_states)?;
+        let layer_norm_output = layer_norm_output.permute((0, 2, 1))?.reshape(shape)?;
+        // attention takes in [B, C, H, W] in order to properly do conv2d (and output [B, H * W, C])
+        let attention_output = self.attention.forward(&layer_norm_output)?;
+        let hidden_states = (attention_output + hidden_states)?;
+        let layer_norm_output = self.layer_norm_2.forward(&hidden_states)?;
+        let mlp_output = self
+            .mlp
+            .forward(&layer_norm_output.permute((0, 2, 1))?.reshape(shape)?)?;
+        hidden_states.permute((0, 2, 1))?.reshape(shape)? + mlp_output
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerEncoder {
+    /// config file
+    config: Config,
+    /// a list of embeddings
+    patch_embeddings: Vec<SegformerOverlapPatchEmbeddings>,
+    /// a list of attention blocks, each consisting of layers
+    blocks: Vec<Vec<SegformerLayer>>,
+    /// a final list of layer norms
+    layer_norms: Vec<candle_nn::LayerNorm>,
+}
+
+impl SegformerEncoder {
+    fn new(config: Config, vb: VarBuilder) -> Result<Self> {
+        let mut patch_embeddings = Vec::with_capacity(config.num_encoder_blocks);
+        let mut blocks = Vec::with_capacity(config.num_encoder_blocks);
+        let mut layer_norms = Vec::with_capacity(config.num_encoder_blocks);
+        for i in 0..config.num_encoder_blocks {
+            let patch_size = config.patch_sizes[i];
+            let stride = config.strides[i];
+            let hidden_size = config.hidden_sizes[i];
+            let num_channels = if i == 0 {
+                config.num_channels
+            } else {
+                config.hidden_sizes[i - 1]
+            };
+            patch_embeddings.push(SegformerOverlapPatchEmbeddings::new(
+                &config,
+                patch_size,
+                stride,
+                num_channels,
+                hidden_size,
+                vb.pp(&format!("patch_embeddings.{}", i)),
+            )?);
+            let mut layers = Vec::with_capacity(config.depths[i]);
+            for j in 0..config.depths[i] {
+                let sequence_reduction_ratio = config.sr_ratios[i];
+                let num_attention_heads = config.num_attention_heads[i];
+                let mlp_ratio = config.mlp_ratios[i];
+                layers.push(SegformerLayer::new(
+                    &config,
+                    hidden_size,
+                    num_attention_heads,
+                    sequence_reduction_ratio,
+                    mlp_ratio,
+                    vb.pp(&format!("block.{}.{}", i, j)),
+                )?);
+            }
+            blocks.push(layers);
+            layer_norms.push(layer_norm(
+                hidden_size,
+                config.layer_norm_eps,
+                vb.pp(&format!("layer_norm.{}", i)),
+            )?);
+        }
+        Ok(Self {
+            config,
+            patch_embeddings,
+            blocks,
+            layer_norms,
+        })
+    }
+}
+
+impl ModuleWithHiddenStates for SegformerEncoder {
+    fn forward(&self, x: &Tensor) -> Result<Vec<Tensor>> {
+        let mut all_hidden_states = Vec::with_capacity(self.config.num_encoder_blocks);
+        let mut hidden_states = x.clone();
+        for i in 0..self.config.num_encoder_blocks {
+            hidden_states = self.patch_embeddings[i].forward(&hidden_states)?;
+            for layer in &self.blocks[i] {
+                hidden_states = layer.forward(&hidden_states)?;
+            }
+            let shape = hidden_states.shape().dims4()?;
+            hidden_states =
+                self.layer_norms[i].forward(&hidden_states.flatten_from(2)?.permute((0, 2, 1))?)?;
+            hidden_states = hidden_states.permute((0, 2, 1))?.reshape(shape)?;
+            all_hidden_states.push(hidden_states.clone());
+        }
+        Ok(all_hidden_states)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerModel {
+    encoder: SegformerEncoder,
+}
+
+impl SegformerModel {
+    fn new(config: &Config, vb: VarBuilder) -> Result<Self> {
+        let encoder = SegformerEncoder::new(config.clone(), vb.pp("encoder"))?;
+        Ok(Self { encoder })
+    }
+}
+
+impl ModuleWithHiddenStates for SegformerModel {
+    fn forward(&self, x: &Tensor) -> Result<Vec<Tensor>> {
+        self.encoder.forward(x)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerMLP {
+    proj: Linear,
+}
+
+impl SegformerMLP {
+    fn new(config: &Config, input_dim: usize, vb: VarBuilder) -> Result<Self> {
+        let proj = linear(input_dim, config.decoder_hidden_size, vb.pp("proj"))?;
+        Ok(Self { proj })
+    }
+}
+
+impl Module for SegformerMLP {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        self.proj.forward(x)
+    }
+}
+
+#[derive(Debug, Clone)]
+struct SegformerDecodeHead {
+    linear_c: Vec<SegformerMLP>,
+    linear_fuse: candle_nn::Conv2d,
+    batch_norm: candle_nn::BatchNorm,
+    classifier: candle_nn::Conv2d,
+}
+
+impl SegformerDecodeHead {
+    fn new(config: &Config, num_labels: usize, vb: VarBuilder) -> Result<Self> {
+        let mut linear_c = Vec::with_capacity(config.num_encoder_blocks);
+        for i in 0..config.num_encoder_blocks {
+            let hidden_size = config.hidden_sizes[i];
+            linear_c.push(SegformerMLP::new(
+                config,
+                hidden_size,
+                vb.pp(&format!("linear_c.{}", i)),
+            )?);
+        }
+        let linear_fuse = conv2d_no_bias(
+            config.decoder_hidden_size * config.num_encoder_blocks,
+            config.decoder_hidden_size,
+            1,
+            Conv2dConfig::default(),
+            vb.pp("linear_fuse"),
+        )?;
+        let batch_norm = candle_nn::batch_norm(
+            config.decoder_hidden_size,
+            config.layer_norm_eps,
+            vb.pp("batch_norm"),
+        )?;
+        let classifier = conv2d_no_bias(
+            config.decoder_hidden_size,
+            num_labels,
+            1,
+            Conv2dConfig::default(),
+            vb.pp("classifier"),
+        )?;
+        Ok(Self {
+            linear_c,
+            linear_fuse,
+            batch_norm,
+            classifier,
+        })
+    }
+
+    fn forward(&self, encoder_hidden_states: &[Tensor]) -> Result<Tensor> {
+        if encoder_hidden_states.len() != self.linear_c.len() {
+            candle::bail!(
+                "The number of encoder hidden states {} is not equal to the number of linear layers {}",
+                encoder_hidden_states.len(),
+                self.linear_c.len()
+            )
+        }
+        // most fine layer
+        let (_, _, upsample_height, upsample_width) = encoder_hidden_states[0].shape().dims4()?;
+        let mut hidden_states = Vec::with_capacity(self.linear_c.len());
+        for (hidden_state, mlp) in encoder_hidden_states.iter().zip(&self.linear_c) {
+            let (batch, _, height, width) = hidden_state.shape().dims4()?;
+            let hidden_state = mlp.forward(&hidden_state.flatten_from(2)?.permute((0, 2, 1))?)?;
+            let hidden_state = hidden_state.permute((0, 2, 1))?.reshape((
+                batch,
+                hidden_state.dim(2)?,
+                height,
+                width,
+            ))?;
+            let hidden_state = hidden_state.upsample_nearest2d(upsample_height, upsample_width)?;
+            hidden_states.push(hidden_state);
+        }
+        hidden_states.reverse();
+        let hidden_states = Tensor::cat(&hidden_states, 1)?;
+        let hidden_states = self.linear_fuse.forward(&hidden_states)?;
+        let hidden_states = self.batch_norm.forward_t(&hidden_states, false)?;
+        let hidden_states = hidden_states.relu()?;
+        self.classifier.forward(&hidden_states)
+    }
+}
+
+trait ModuleWithHiddenStates {
+    fn forward(&self, xs: &Tensor) -> Result<Vec<Tensor>>;
+}
+
+#[derive(Debug, Clone)]
+pub struct SemanticSegmentationModel {
+    segformer: SegformerModel,
+    decode_head: SegformerDecodeHead,
+}
+
+impl SemanticSegmentationModel {
+    pub fn new(config: &Config, num_labels: usize, vb: VarBuilder) -> Result<Self> {
+        let segformer = SegformerModel::new(config, vb.pp("segformer"))?;
+        let decode_head = SegformerDecodeHead::new(config, num_labels, vb.pp("decode_head"))?;
+        Ok(Self {
+            segformer,
+            decode_head,
+        })
+    }
+}
+
+impl Module for SemanticSegmentationModel {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let hidden_states = self.segformer.forward(x)?;
+        self.decode_head.forward(&hidden_states)
+    }
+}
+
+#[derive(Debug, Clone)]
+pub struct ImageClassificationModel {
+    segformer: SegformerModel,
+    classifier: Linear,
+}
+
+impl ImageClassificationModel {
+    pub fn new(config: &Config, num_labels: usize, vb: VarBuilder) -> Result<Self> {
+        let segformer = SegformerModel::new(config, vb.pp("segformer"))?;
+        let classifier = linear(config.decoder_hidden_size, num_labels, vb.pp("classifier"))?;
+        Ok(Self {
+            segformer,
+            classifier,
+        })
+    }
+}
+
+impl Module for ImageClassificationModel {
+    fn forward(&self, x: &Tensor) -> Result<Tensor> {
+        let all_hidden_states = self.segformer.forward(x)?;
+        let hidden_states = all_hidden_states.last().unwrap();
+        let hidden_states = hidden_states.flatten_from(2)?.permute((0, 2, 1))?;
+        let mean = hidden_states.mean(1)?;
+        self.classifier.forward(&mean)
+    }
+}
+
+#[cfg(test)]
+mod tests {
+
+    use super::*;
+
+    #[test]
+    fn test_config_json_load() {
+        let raw_json = r#"{
+            "architectures": [
+              "SegformerForImageClassification"
+            ],
+            "attention_probs_dropout_prob": 0.0,
+            "classifier_dropout_prob": 0.1,
+            "decoder_hidden_size": 256,
+            "depths": [
+              2,
+              2,
+              2,
+              2
+            ],
+            "downsampling_rates": [
+              1,
+              4,
+              8,
+              16
+            ],
+            "drop_path_rate": 0.1,
+            "hidden_act": "gelu",
+            "hidden_dropout_prob": 0.0,
+            "hidden_sizes": [
+              32,
+              64,
+              160,
+              256
+            ],
+            "image_size": 224,
+            "initializer_range": 0.02,
+            "layer_norm_eps": 1e-06,
+            "mlp_ratios": [
+              4,
+              4,
+              4,
+              4
+            ],
+            "model_type": "segformer",
+            "num_attention_heads": [
+              1,
+              2,
+              5,
+              8
+            ],
+            "num_channels": 3,
+            "num_encoder_blocks": 4,
+            "patch_sizes": [
+              7,
+              3,
+              3,
+              3
+            ],
+            "sr_ratios": [
+              8,
+              4,
+              2,
+              1
+            ],
+            "strides": [
+              4,
+              2,
+              2,
+              2
+            ],
+            "torch_dtype": "float32",
+            "transformers_version": "4.12.0.dev0"
+          }"#;
+        let config: Config = serde_json::from_str(raw_json).unwrap();
+        assert_eq!(vec![4, 2, 2, 2], config.strides);
+        assert_eq!(1e-6, config.layer_norm_eps);
+        assert_eq!(Config::default(), config);
+    }
+}