From ec38b12bd5f5610430823a110c0277e00d004a64 Mon Sep 17 00:00:00 2001
From: WenmuZhou <zjwenmu@gmail.com>
Date: Mon, 2 Aug 2021 19:42:10 +0800
Subject: [PATCH] add quick start

---
 doc/table/table.jpg            | Bin 0 -> 24674 bytes
 ppstructure/README.md          |  18 +++++++++++++----
 ppstructure/README_ch.md       |  20 ++++++++++++++-----
 ppstructure/table/README.md    |  24 ++++++++++++++++++++---
 ppstructure/table/README_ch.md |  34 +++++++++++++++++++++++++--------
 5 files changed, 76 insertions(+), 20 deletions(-)
 create mode 100644 doc/table/table.jpg

diff --git a/doc/table/table.jpg b/doc/table/table.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..3daa619e52dc2471df62ea7767be3bff350b623f
GIT binary patch
literal 24674
zcmX_m1yCJLur&b^+zIaP8r%}x-QD5h?i$?P-Sy&5aCe8`?s9R5`{#S_uQyda-8I!a
zH9OnWU1!fkD9TG9!Q;V0KtLc#Ns21}(`WxgANJe7o^d9e5ds3y4j>|;C?z67qUdCA
z4zMwUfRKzx(SXrRT3P7<NeT<2i<3aI_3Qt>pd}Cf{_AJy4jDyYFq(-ls-ud`_i7BZ
zp$K&`25n#f=69uY2KX!9NNrWR=5jG5)lV*{rbn>v_Fc{~59s4?!`a{BVC$d@;so)w
zc-}`9I{;FufPs}RnuAgxNbKwjv>_x-06e0HPkVAsJSswdbTl}5g$tsPptggi{Zjzk
z6WRTf<`^nKHi%n><QV(s#y5!W4Ca*YkUv$|fXA59DITnY-`LVg22-T7i-x^ZxMgB=
z)C9*O2*PV2^2H8sOnD$?LBf1h;dxM=Cm>R{B-lZ82$$hs1e4e|(5Upz#2Sh$G7(jz
zZULXl;YNbJ%;)UW+5XoSF}HUfJVly%Y0^#oLrwre`zvrG2e=jUfL`4A@2`?b)47Q8
zS0fbr!>LFmW4b}##OgK=vszLjOoT;W7>JT^%sE;s|HWkH<KE9NRD*Vq`W}dbrKl3p
zxBJE%kJUDg6xhaXI<v-(q+Gbh<l$*>hiFoGd6x}Z5t*8nCN0qe%YSEXOe@>QHJ`qF
z(%K+_WfJ16c1KPq3lDyT)1t0pMyTwQl!{!?&B#Q~J<HOdIqr%3m_~}4eR85w!&535
zS@~7d=wM}(-!L=B$1O(LVn?();`x*-CKCX!P~0+SR1Q(B`)Xh*FOt!S3Vft5BpD%%
zJc2viE-Dlg6N`6old(c6D_8a~0e-)SiCfW+Bxo<yQN72a5`S3VEDE>rEWLZQG_jCs
z<xuM<PGqI$Ps11>8GnHZhQd<(IR)AHlL^)Rp5viU;VeV47m6(&D!5n71XnAeG&7;s
z0-ffIzc2;#?VPJor4}j8??;p(^@oM8rd8%qs`R(LCgBJ_5l6%FzE`Rx&RJIMxLcxu
z>3LD;h>x;R)Of(#m*mR|Se#9RRt%8|;S4!w3dYc^**J316uf&>9xO!RBmEXMswf*M
zPsA1bNkY4<1xeTO4mq=OZ2~H~bZ=x6Qu+9|5>{Rb51z~pe50o^VY|QL3EB2#H=x^g
z^jVPcQ34aX3Q~&3bXLDFV{d@VcN*<Q_9fiNiw;;16dMN8=uhQcKuTC<wL+jc-j(V(
zKWA}^?&z79>NiO4VV~0o#sOp#i~6L$p4H#2AsH^9m!tLiV`*<ru3q(;JH-nrD{sew
z`1kyW_5sFpe6;RW?&q%FwYl_|SlDzZL>8$oHL}^{bf)#YJwfq9Dc5=<_52(B8($PZ
zSIYgn^;y-xq_B7W)H<i~5Wjzig@x$|tr~klaBrZ*fx8qqVLVDt^&qmV4(LtAtnh1m
zP<LvBk@*3`y#$(2Fq&~N*IxojFhv6*NQfwcTv(vow4k5b5huUg^`R?%qwBS*BeH>9
z@0G8^_CY}oq?(17|DD$-=I~V)#(n4N^vldoArGWbRA^GtAHjh*<XGX1d(j>wev&Nc
zfrDfblDvr#2PEjCfs+#5!gTS?qg19a%3<#T1Y+`J#|iQWoVO6CV)|qtMZ}WAZ{@gF
zVX+b)ikx^sR7DGO1TLJ~znR1|3YRPyJBV#X6$-KE&MmoK5ea)CN@G}AWhTGg4RCAn
zrv{ptu-TBR$Eq1MYeFqU_8eDfaxI5-4MlK6S?n@7z)0-VauespFb`_%WL<Z8ko)2F
zL<;r3-NZrT^(F7f!jd?^slf6C^8~XAe>dXVh22Humk|hF5hY8IYNCGaZ%mh;q?{(N
zA+aMRB56V6i--${qCg)@Kahnd8%pvh7FNaukOPEHp(~;mMer8qmm6kpXCoKKXA><`
ztkeLP3%oT;B@d$3;ngxNlrZu8W01GHw{*8mP6#h-?P2_)b47nue$$L4>yD#KbCd)+
zg*v6(O6%yXORpPvH?(Ma*Sj@8{<?HtLuuMpeyEUFMRvtg`=uwfDPmi+RoY!RXX)0Y
zsQnEX-;$^<!6(+KfM3jhQscs;_tQYMwt#EC^JK<#l(&V~CI^?7l2?s4%$4c<{xs3`
z(uJpke>0?mqeH^g{tWqq^?u`F?*aZ^{p50iul7kbuh_nfxPW=qpt45=ocu}tZMe?d
z0mo-pBU&$-J(>urFtF>(3du@-|BiPMa*&^huL$#i>VWY8-hfHyrff7|<bdriqbfZt
zohuzQoE~EohZd_PSZXA@lFlV=5+fWFEPf~s6J3Mf#cqx(fpd&o%WB8gZSgycJ42Q;
z!=z#9AX;i$GpIh$<i%uSgb44giq`7PG}DrI#-;3(a^VZRb0ZCV#j1Ftin;HR?49DB
z?w$1A{!teeVw535y;#W*T$GSzC<7;bp4t@e)LH9~=I9nx&8xbLI)a9VR_S`WW?n<r
znM~tLiyT`$z^2`%y@?U~n0dEc*Hmqbsg96N!sWO1#uodFi_7_o?t1G6Z!3G#nP%qt
z+SZ=)pU$w3>6eP<4pRvyC&%f>Z9_Ma7-t8U6i$_n9T(BOZ`@Hit=#Uh<k5G;)VLaa
zSEUF`A(zSr%AniclvBKO?X$ImSD!yq&(Sy5!+C_@xv6!=ZQHbULU-S%h^vw-#w%ul
zZ2o5=4x$x)KyE^A6n~b0fd`K_Tvv<N=B>Gh!tLj9=jK~bTy5NBSzp=8$}rc0dm~6r
z2&xCV=eytWJKU$yXVkmS$M&~pXv}W}@Xz$Klq}2+20IIIj~KxiZgL)&rr!q<*3cFS
zC*h|Nw}>_fjdA-CDv&&JtO)5~Hwj;ZFGr`%Ko&wM&Im~%gmB&ia61e;O(7<`O1p=<
zglMm5v}jpmR}$J{N21FTj}o2|Q&Cn?RH7rIwGrK89Q(KJt{a~b-5A)i{DdMgQjx2e
zcPz`a>R9V+a5+C5=R2g__igqm9OZ6Ea`AhZKJ|b5_Fn|&QDIP1%hqJPbI%Dl`t7Y!
zh|f<J`%2X&4J2w%Zc8~zDit@CofXT=0A+lWuyR{Cf!^cKv<RiTvRqQwWn32VY|89z
z7KpMj=^cJnGe1B8vjscZ);xXwk9Wi*+!yxPsl|-3EKlyF_>9zc<~srAT#X6*(LHn9
z>9b?!XZ+_G=z`zUziL?|+ti;a_-MRs9~ZLovt4<*3Q?6($`vNj?9qEhW2QG#->8@c
z?G?5h{Iov<A%VXqe;1+qO64BhGu&wnHS(5B&$9uZE&^81EuJQfO*;?6eLDWM&q8!B
z8YpwqbgT2zz%y0S;$<iC9y`?Q*B3v}>z1`o91GG$Fud3i3C0Q4`gR|_Q{E9X7&8B@
zN7YJiuJcWJC@hKc!jfRz>I`n6upeVCu`98b0e{k6R;8Ah%V0D6-n%ZYJeb|HX{}D#
zL-wq;AR18VFV}B4zYHG|PkcSZrrV&aq}!_9scpLkzO^oGBiByquhx%SEG;h$E+sB;
zEeBVxcB<Rkj;%?YQvt23P1RC0KD+#mUhmZO)z&!`IcYduG)C09?3-5Gy!PMZ3guR;
z`>l{|I5+?J++{KTX4KOWY2~zGUstcc+;qEn)Zr_1`?0*Xq<%?p#jy6`p>bBzxc%a*
z(YkKxK6HiRP2t_~M0F*gcdVn)I^(ik>D8pKwB6~y_DR1T=D)qMGheq4arblRmxH3?
zbsRC9f14xCk>Z<C&j6Cp+GpDf?7pNY`8;=PeUH@Q;%4^NhNsKk++%8QD!EYmXH(fy
zL-SGkZoS$F?MNCCv7nNZalYKzvOC-HLD6HzrMtWwkL%_A!2+R$@pSeZ&+V~_#j1ru
zHUjU8m*CF(9D*NqCey2~&7T9`(^2NF9)i>BQ_DXW-t8}u;FQ#9xSWwr;SPCyq@LG1
zj;rRVmHis`Ey;Gr^P{G$%~t5v+^y-JkG+*bgRm=xZkaY6KZPg#CEta&<{q9;xBT_8
zx4%KxFlj_o0)Otp!6&Pr+wJWq247ik-G{+FsZEu*GGJFim&RxMtHccZX=6cmgV4k0
z#{0(ZOPqhmr)!13wEqmkYSeBTy*_Tw+Fk3)_9YY?)RO`BA0jUmK}-I&C*byaBWQk0
z05|h4_rCizXg@49j+GdMjE#sQ<H?qLrUnrdX>I{^?Sul+<N|?ny(OMe*^N*Mt+Z{R
z2K%m{>1&`GfdYZ#px8a^yavGyyM#=KRC)VdkOwnAH@Bz~&9kK}EHet;UO2dKcUQw4
zB3>KfnFODRXpN2k-3VLukrTqUamih=1a&vZs51@Sl{E@Gh*{KE=%ad=St5V(XY)Jp
zzCXm0bpk4q8m!$v0AgdNDP=Av2SNAGhJ}Fsf(P;SpY`RR2!6r;KU@3@4FuHxj6*^|
zgaII+|G$s?KmA{e|0n-F^S>H0AM*b^&hnxD&({CXRjs_3=%0dfkkoR9fWV^sPrgVg
zQ(Qwp{DhDa{iW*h<uV7xMSsNg7=}XfH^txHtuJ+4N;Xy(g_&ln@}@EkW~-?e)j4u|
ziKcNFe4WQOu_`lm#(a*PYjV1Yk}VXKnhkhrmfs(l9=E(fUm^NFz*m!hp1M&WhM4GI
zi6TH#S?vo~8+^{k(~~)c&R)6#D7j)<{+`)M68GflO3&AI88~wQkn>fx@sNk$7;O9$
z$%-C~Fj2@m!gHL<y;4z+c!Gdo*@a5-Oi#a}Xky>@lItxY47`Dh9HV)hud$8PUg2;E
zFEH898ehP)wm9OVYzbEH?s!)p>;+)B)7leVAUB(eL_7q1AvTnq5)N<UXK3}LLQWlj
z+#iJ~fZqeOX&3wp_O(HN57`RM?r5;9GF6BfdE#V_(IjFU54njq=Sr<-_~8z(0H95<
z-_q8v{flSa|Evz0Oq=Cw^c{MwpBm{d7rc6+fSxMAgLtZhRw>^V1dD%zo?!f|ecv8=
z+=utIIs7#uX^o<nuc64ie--T^RVovM75)Y04=xkGU4!6O&db+eahe^Wpyb6DqkJI~
z)fsDAc2P8;-S8%Pq>gATOe@*sJ0&jZ9K(q<zxhH`MkmuvinHf~;*2{bn8hdj)dPeV
zgq5%FA`Wo0KRJ7T-LH&VuE8J3n28Mm@`CY1KclSv?u&G3CJyWfwnNiYF_57U6Zl*X
zykXvAi~kBKC<*}k^dl^uoJ#i)e}7#F*S1dn6(UlWNkYoYz~HCb&qpmt%%97AcwO+A
z1!bxDxDenDe=S&({p@p%dHdu+v$GxEXGsyJ2<dfi)ywzQgIGh}N6>>Q@w174-{i+&
zajLm)r4kh@@x%qB-@LH7_)KwpYDbCksDb5ZpG@S2X+>!OIF8}tJHVAnYe`m0geiRi
zw#@HL3YUdC6->e+_#lo_|3G&4`U}(Y%R^{xPa6FJas4)`(|4vnSl8f!f*x_dSAsQ;
zuwJA1Y{h>dv@6=T;hGfAo0VS}=3DZhG^uewzq8Y5sRiD6_N?&d*LQEcSJ-(2-okzg
z7Ih!*<i$4~J(c}f0>OjI%Bs!wOy?T)Xk3r^9ma^0K8eI~K^xeZ3`qjPvJzb!eC9`~
zr8DMaD1G3P1o>C=NduqgkgtlWI;x{R0brEq&&a4qy~d*{-A=blG5}tV`0Z1!qTMp}
zhrI3_+P0L{mQuE89CA99Q)C}1Ne@lYc)Q7)+f%Fm9hcq9c#82~a!6`^d}gX6_OVaM
z5~GbA_E1DeVXWT1fZR*C{jnK??RmANl4F1`_AT=c7^<*mI)}F%4uiT)=<Ui~Z-02G
zP@^0>b4u{EwamjeiyR977v4@!UC6A&3{?(jT9|;xX>cl6VB~VUXC+6_S3I9I84Z~W
zOdEwceo@_5o62RVDl925!W9A~9z8N@g?7U}$6X8n=t$~6Fg7U67~T`!(j9=5G<(5I
zWj$Do+8z2`ULEx&Be=jQk|gR)$z2#?n&sSH;zwIkB7gwoqVHRd)a?w_p3pS$Dtv**
zJ>2nNpr2yUi(v<gm9}v3SDc`y5E3D$ov|?~Vip#)s1j*IMv~#%g8z;fST0}aaZmUu
zLDZ94L3%twV>tmM+lK-f>VYqbt=`9hNio)dL5^zrB?q8=G_R0ccpjCOqyaH{Lw^9O
zC=fhYIzO(Lh;P4F>GdaoJR@TWTNZYR-G&kK$HS$SkWaW6NRyu)OgNVd|NVYa=FXJf
zS1NRjB-_{ENvVV$)@Ro9Ut$0&74&=)SDoS0DjjuDad@4*8z`>7Ex7E=9o4F>=98oC
z@Hu%gBD1-$Q?_(2$%8Xoraza5Ko3I^5R!!?=*Y)h(>=9-On(^fzz7)J6`4Uvg22AT
zrlZJSW7cHVc#TLC_-~rfGJ9e#zx2=oMty;VMtv>!qn$Q|AN1PZt$B>El_Akmq|-t{
z8dnn#PJeu~-(Oiow5b|#$oI{7AV33TqO$#EDIp5%lfB;*P>%O^)J6@s$4Qut8TQqB
zd*-I?zkNg~`C?EaVd^kEFJuZb1WMxJh{?YW!tauUDG0kC(7G3V6<KRg!VS=vA{@Tn
zQJ3KX-@J^3jyx`Jxn$GD@ij>O>rmHujQ6ctdJZ2+hk9^03TYgapAij0M;GPP7DkRr
z#w<)v0$$Ur`(p|o<ak@!``(QQVLe>$YAbp7A1_w-Q@dM7FBcl-Gb+y%1FVz$FFFOw
zU$Jk&hNmE>n;CdpMR-!ge&t*TE#;eO22vQ>ZEkrqMoHpar~y7R-*l6w8Uee*GqtOO
z2#l-0^(Hk<O^Y!&to^R%%Tp=I$vBN3C9^3r+wjF+`3`^Et<$pDEn>Z24%0T%dTzgS
zSsh5OR0EO_#{JKifp(jjOLqIiQ#EE)%I;SeJQ}_&;|@!0j^rAyrQ^+Z3&Sy8X4Tf)
z1zpz5)fpvOQ^Y87V;8kBomdZGmSZ9RPoGxL{ckJfO7&U%W|7t_r9kUNO^+X{xs7sM
zS)BH6AV$xb2jbc7htq`>*NeY>IRZNSsSJKImqH#tZC!?!EUER1hGX<Vw@zG^J3p<d
zmtW!t`3mHHT6KDia`=2s>iEe29#Kwh0$b(XF2~0i<SFdP9}tSc^sAr4<){tzqdV7m
zWA@7{8`UYor3t^t1G-e)wmU8Ibh?e(bx1_H0BehvSZt9YHZ7FRXhss^UD_{Y=cvcQ
z?{uwNF)s%g3LWdE8)r56oD4t%8vl#p#DE>mRyUycTaNoiDsWxb6SQUb_GoMTzFAW&
zrJ}J~8^`ByozKCWqcD*=rKiGLDG}laB~O<1D$m%`G_#|<2p-4=KiaNuG_B}6^SNC)
zZFaaji-aLN0<~MEPV6UIfLBwe_8lvwT}R#5v&VWG%>#}|@bnrrPIpH$&SmnsE>k~f
zdIKcl2$rThY&jit-8Wrp#G<h5R%!_Cj;b?;uWgQ2JKgj69N*K^{Q|7#8cO;^GwY82
z{Cu66-#*+EQlfexBLA$^q(eI}jpL~fpBq^q*2g*`eUTe6Jx*oNI!I;GIeLA(-0yzv
zG;r>DGVq^?ArKg6)NC6i6!IgJn&6xNaq$L!0MbcZjI1vEH};1fFt@?MWLLP=UO&V6
zV#^KA;d2W|li2`)`#_ySA4x)vT-!d4))n7EE&V|5{xiOhfiSwYxm_DIo1L40h();4
z#P+~6(a~{*1oUu<r*K;Xcu#}f*AW+?=$CC4^JseJS_cHINq766ht&0U6AR=IMy)@8
zyWSr8TAqBK!xNS>YIJ(Ge2@A3_uQ)FhU18jyKkoKJM8`6*6sR>Bk=guJ3zi5=8e*+
zEE|i>h7y@g=NbNeyPiAbC);KaHnG=eGo$tK<Hb68s1Q*mRqND66tRenG@sW0ZrOHJ
zw>Wk#n=uIa>ne{VzfZgbGS3kNZt-{SbGff>(ieI?b~)A?<q1_hD*IlK7X@f#C4;eF
zYJA_=qMXm}rCRmE?HPsvD=k1#q@MPdlewa^kJz@%MhnVemqp7zBe$T9ibi@nWg8?1
z^?xDl?lzUh#dULcGDm*Z+xJo9{gjLKbWovEW4*$(Or9usSj5nsO_#qk#Iy6S`c~`T
z2cK^hb;iWT1Rx+ZV^GUEmC5J1ZFabEgxc2Fn%MN)RSAu=dEMizG)maJKaU!<`sW?>
z{ARS(vf5)ITY`)D7>da%x3k?ax{P6BQrBBgX$R`GM3Ss^wAik<V^u;O7T8d8KwfP3
z7;GOi#4Q7LMhZjO5NHIC78SzryL^K&r)7i^qJ@W?^<5XjA9@xaXXeKa5By6j$5UX1
z{;k6q)Xg^#L%=bPMDRoMgr^J{+~)dPCZFTDl$aU6oL<SG-=s-?ZRb9K#MSmID9j^Q
ziBz2aYMC)>6WO(UVLSZ_Z*xu(v3<sNqiN`Js{pN2Mq@=`?=Fq_rQ!T<LC{*=1LXoZ
zrBdkmsgN0nAI=7_Bq+?BO|5WWdyL5IOZWe#z5Q=f(Uq{WG$9NB9h*Zh4Hh9B)4g49
znY6ZM>y=J6)?=)Q5};^2)GLYu)Zi$)`DF4*Lw|aCSo-nkZc$CkV>M2GNqFmI4zKGx
zAqKn3@QmM;GxCk))dr8WJrG~;-OJ=`z}O}IAXi~ypN{^mJeDrmv7&Y`B56d9pO=A(
zk`brnb(4<EuOC|Ki*M5Fz@O%|q>ZMCyamo>{;~?umr`_Jqmzcm%M!Vog!{U|uJ>`L
zl}?S2EN-Je)>>=IW|>vU)@8iq$}7Tmxl7h7mUbJecQm3$P?^MpEBbT#cH_X-j(K(9
zhV;YZIz=YyZ~L{TIag(gAEu**D+V6*BiI6c0<odjd0!hU*HOAj(Pjib&*_@LDdXV5
zF^px_EtfkvyVMio{ZhHB*#ePeTqc9=jZ(D~U%KL;bf8;hv%F7KdcEp1sB*elZk>}z
zqS8O(DEs^2_nIWm1!hg|?U=-1jZ)-RxpVcaiV6juJ*1vbuMt@J_r2L8DLp}wcl;u4
z(&zvYN2ix58dCghOx`+2?MK~VB3_&F2VI#|2FF^-h(<Yq%^0rD6T9vkbB*QtNuXBO
z@)Vl$rtj0HT}m=XwB;lU9X<W#xElRN6JVkGmmQ9CP>k@p`<26btDXD5xJT{hYx`H;
zERor^<#PE~<?ko6Stq*KF4dj_yq1Xsyd*I<OMDFK#l<7OifL=9^<=K$xm(VVa=D(V
z-q<DZ#+IgnCo>vtnySjH>y(H*vNS9x4mD*6IqIPCX$7I3_MWAl=4EQzNP}QH1J7){
zQl8voDAh^*l&HnWu?>9YQo`XtZRf}<f3%#R&RhL}XwAU$jgrRmEnp{a^J)Kt6_?MT
z!_yTXs6*X&3&Yr)x2_}3zWm=u3E@hIEw^kD;$&k8SpC*5eCc0uD@1Chz<2s1y@MgU
zN0EFFtJU)k%T?cZiHFJca=qDopxD`C|AC7la4B<oC*c0u4(5=4p*QS<J@CbLWSVeu
z(%rm+E@m03L^IRn-1KR=cAM>Wz1uge^E5SUBm7*V(sr$FSWF3iVj1?SdBA_XoYdgl
zCFz^mFU#I%y|QdTI<pfdkl#=Y1phR9ECjOaJ~e;3XICjfO*fYgWcJ;Sy6S!dISY6_
zxnK;E{OAq*fZ15L@3~Z$5{c&KkuO7YlcCUWHV3{nf<G-djRhWw<Jvi_m)mN64&8Od
zJlnlrPc1fd?7J?JiMUU`p%9+giJy{)cYy-mHj&UJG#CtaTWr=YumJLtaA7T%Yj{?)
zo2N--o7#XEzsJVB4!*0lg$K}zfpnNkDj3-nc2aK5GPt(q^GBBzVncabF4I|i&;2#_
zrp?3I4nm12Mnq@$p^0iLjG%W9?E)4+aH&Fs`Uz<7H^IRODDB{MyE~e4XMVr^Du?7%
znPy;U>|xL9SucJLR5tt-{qPTA<4RFsg9BrQ^O-G!VL3)^*Az>FE%s@uUKihVi{9h%
zxb4&`7;0VisiGSJePp{84Tb%LydILTfm=02<D-jZ>I(&U0B^K3+r!_#Ra}#Z9I#Hg
zwN1`_tfzB0Zg5MK#XLi@_#GR(AJb;qEpmN_KlUOF+Q1L3{`8@Q=e&|h1|a8{GX-)_
z@#aWH+&6nOw%Vp49}-eDtk#|V{Ty5r4mOy{EJ>G>m7YBBXBm_zRB!9po7lIds2+6Z
zjT({TX1wn!?PfA*GH}l0gaU4hM|J;7Vpsd%hPpN~fK<*(?m=rs6~+bslz7cJ{7*!x
z2C4u6N4y#RA=ffZh9k^$dL&VbIHC>)nSh1LX1zsLO#Q2>Y}4;IH&6<E&oWZal^2)e
zE%X%Q%-_|1rOc5ZX$>@lW^5_L6=9s?%X#nkQkX<scG-+jU9V?VH8N>ToHM7Ca*mCq
zQxtS*CyYn7O2%aT@IX5}vGo=$kQ-<dh~eMN8Aeq6vXbMzSyH580t})%&wugpVG|oW
zGJpa1jvUpwe<OQ_8RN25c?l!go=jW#)L;ScQ^&SjF#=sKx0d8G_=f~u7L%@~3>4gV
znhOj2d3PU_iCB4WR|<S#R>V|7wGv~~UyILCyZzoCLF{lge|HMR?U&RzYQz8tQ@#?F
z1DAWR5$2_WA5B@UhJoib(~Uv9LWW0B{XHwM!^;ta`IU!Wr}U_n`aiGZ0;PY-^X{FU
z(Q&zN=|;3Tb7;_iZ+zqu4ba4~Xia9SvbA+8!sOo6EsM>uxi64NHWNLCzAp<t`IyWX
z(vqBqK4tj|_ONO$^=v6!6IH;eN*KgU&)#XwT$t~j{75GsfSu$}66TmM-_*r3#OVS^
zse~n3Jzwu$J+9lamuRR=0T-xSKa+vl(0zYYrOu?zg}m-9RUjCXLvLS>^IBi5Lk9JO
z6xqa*6+E#**b@J7ER}>}y5YTxk<F`qnFI4i@%lZ2AM*?lqk^dpnf}_zi_9H+Stm!a
zfFbw9tHb6V1*$2=j=eYIJ0Y)wbl1X5j!j%vr(oU|PP_e3B)g7MxaiW&PFD^+$%N}j
z)x`o4iI|qdOsi~%Ds|wz)0!JS`pdwmtXPYTJ%mYa>Yn}SZHe8|xLV7wkjp6QT%T)A
z)KOhoaU;Z5I4zbSvBnWG)YnXI42ivzS6%*3u^2L6B$WC)iuzG#r!^Blx_p$0=dn`>
zu<WU0WZ!fo=~jYf$G@KnWQ0XK5&IIh(;TYCXBjHO@kjQuTRk6_LUXYNlvK+^@ri~#
zgNE^*hG4%eF0YbVNB8U5Um_cRtX>h~{DTt<YpV4!<m83a(RwAw#wbXnz^$!K??u`R
zcdjjuB;Yy`f87j@J7}wGtx3^ZngCPZ(jWtSJ|lZxTgQUK10yDurr*Q(V<z&~95P6y
z{jnn2&?;~KVo@wd_V1rQpR%%}5ebg%T-qU+L=k)1sPusb`UrW*7*1=?=yLC;E7p=l
z8Z?seCb>-i%SEqU^DeZm)B8+IulS;u7_&V_pW`NtdCWPq5WSswtmuNptH{=#aWT8k
z_WSo!RITCldgro4-eX0&0)k3a>K5h8kRQuZce7NPcSRp1P#cvTYWE0G6e);AKQw<l
z=DG&ViYJv0l_nQ|=v3~Pl5doKF<EUmENnF4q-j#7c2J(&>K1`nks!3uv8@Te%rj=5
zg)UL%sQvnh4^|M!mGWi%!=0={K_C9dX-AlS@CY{VQJ7~yGQ2Ptj+gwL7vPR<?I&LQ
z)LiR3g-H#HP+CQ-mqF^|w>h0Rvm0r-EVcE%Y+jL@8+1az`^(dKB-ze3V7uNTR+N`+
zeU1fCJziZ~<B7@EEAA+R`8Z_GTanZNniV{>$PdFlX1ocKmkOTc`abeZeZgM4mC~r#
z4J#io)R>EQ-(Ct0ZCz5TcC9LQy_|1uM1ywCmool1)idxq6?>|}_B%YXCiM+Fngz<}
ztTN%GMtFn|%)>{W3vj?39|)1Lka3PT92<D_0hO40>_L95HbYKRwJ3j?GQ5R+YcUN4
zHcOH4IV^I{^?hA4y%o3%ibP12wUj*jo?CxY2(4m`*Hx~uqie}`YA+b*zfo&t?a$wZ
zu^vz6T;|T<9mC7T#fN@FBBFsitETmw4UWTc>~g)X{c{_c#p7Hmx|vieDay>|_O98g
z_zHJof3rs^j$!}jrBp78s15wZy~}M>sbeS#Yc<=YQJpB2$#bUZ@&rrpZRc3mQ_Nn4
zt{=$b0iQCt%+$JdLyzEi`n;ly>+7~jy{?Kyhq7Hql&aai6VKKqO(pJ7IJw#_LLO!_
z#<DlNUocc%&X7h0tk<a`Lc1iqQw&dF47K4S;5Lk3@3haOg)#IxvKfgZa`yhgOC;o`
zDxgOk<1y7l<vBZ;8Ed=|n<+7g&hCHAx9#YEx8lDaiimGKPSBF6W+j8Gg9Csa%>P%s
z+qzSHZ83-AT)9L|$3xxP+-tX5cBV3|Z_DL55}jKsf()SrJ+AA<6)(J^a66w)D8KvT
z4?td95?f4Vn5|u+k=JT~Hs(al9`XFob+(l)4mXJX?oe!75xI@V0x0psH)GcR0d;Gy
z5wT*zrVA0AF7K6TJtjPGw^RdrlV+Bzj#%v<cS2ZCU7I%pyHA^!b!uM2JK-4KMJ9m`
z>(9R<n37@5x-g%e)(c~3bHk6eS+-Hs=j$J@j|&?OVZf>ytxoNZxP8ti3#ph2@vIhL
z$V^S?KtO#f0CTIDlDJq92NMAQ_j4Y2Z94;_2qwUai`FjVY0OSv3HMnJoC%DWs{R_y
zLd_p#EXDU551~DwObZ*R1cFWak>mvHf0R(IK=#;M{8ydrg;|B@73&k1Tr1moIe$jr
zDf{hC2<!|9Dzh^3js~c9_0hs3mOc<eRb;N<q2N(P$`Xi?4vj|q9*@h1j1^ESwW~KE
z_dgo{Ec_Cu93BvIpTTZ%(lz0G6NM5nx299nxZ=`T93u4j=<oawoV)phpZqP>E{%7g
z&8PN~+BsC9V8hyNTKbHY8m{M<eXB08=(|NE-=pnO(UohH^uKKbIx4D=eeftWWVyOU
z4Bw+c(6Klb;Wo3R{yzbH4!uYPq4Zq^7z=9UD^a$4zrNBNQdDRn^Zq=kDAoQ!!<!UJ
zqRK}bUJ}MupKuQ)>#3PoQTs6#R3`7)<^CLVI_xg81@OqZ7ydA57(&w!&tAQUO!y6r
z6G|<Y>gCmgN=ZFgXV|NJ70&vT31LJkdWUA709b)Zd#}GbQiw;L02n1MouyVX@nneQ
zw`4i0XZW48!aAjas*;t`#D?lu$jT8_tF-)nA5<RKb~dDY_xLi%JM#Yhpz2_M_!Zko
zSqY_7MM09xFla!X5hF!vU_+mrtc!gHHw3iNwUA7<ggzAq-xB1eTkyUYak^`MHBO{L
zMBcB7<@>hbw2Q=qVXoL+2fdnfhl?KgUUbBj<=>K<w*Hxx<v;%^P1C|>PtovvZEH5&
z8$8U0YGOAh#?ET^IJTVU7G6XR7&;EB@t@r0P1B@Nh@@q`CQLB7!kq17<A{XDT=*%=
z<{lt5aPydZl!kA3TB?toDwLvC-40vGDf5fD>p4-U$@GR}B2V}Y%{lC{^sE@|E?2>?
zUtE?PC!{FY>+{7R12X{q;%0=nm9jASPLcw`z~&<&BgTX_BkbA->Dpive73)RRGwh{
z%VWNw{uFRBdl||ZM=A~lFu>X`r3i`>z)})2G7aCl@uj@oCZU{kqs^?O+^YMgt)yfm
zaayDHdEk9<Vg#^mUHeqzJf%+jUFjzr^*E6#(^=k5{T92r&1V@eWaUbE26BWe6vBDO
zzJ-C(KmqG#n4Z4LqEo*tFC2NSJfX%>yB(Z{wLAGa8Nx}iA=wzfkWhPd5%VZH37-94
zfg2`Yz|Baq40&A<(}xn|;huUa$1jj~_yPvW_@Aa=!3iQ+@6rd&@7M}vrn6I<Bu+yM
z;i|DK6*yw}AHwXejE}mJduqP-VxCc6jKlB4i0g<N_y5_Dg)blo9vhQ!h=Ily`Qwgw
z&mu}TCHzTJ5CE={@|TPlQvS)YG~Fm!G;1(j#5uaDLwKTwW|NzZk{ylOdy_A7Z6%W@
z5e*Va+V-(;F>|yEG_ka3>I)bh#*vC%3>3<8_qf9$z6}{5ds)21W`5bFLTw3U-8Hx`
z?A?!z6Kl<jS4ABC1IKg#x`EP$e-7&w{jL%InaROiujgtW4zUM34m3@Qm+avoGAf_=
zB8$<lW5q%o<WyEs^0N)+g$#yOx*oCb8)OS)!`BHR_-oaj1yTV4L9N^PNZs%CJ`5Be
zq>DH#R*MTH^ytoQHlMx6rszEgFA~9Tt=G!ELdi}KCnyMLQ(3JnM^7$*!Sr{J_d8ti
z8Q!0PnJT>$b}qgCLsA}oki!H4bR>_M+=m10lgNbiNX1`GBYKMy?x0ab;?qY^K!1FF
z1|gDU1}4ariHlL<iDt6fMp*|Dm|pX^rP1*UHOoJs<Agtn3jQ%|a2jEsf6E6v)fGZ=
z)f=I4wP4_p3uvoPk^^Vn7k(;?c)q8Fcf$o9iv=91)LwrV*k7m4d3pH4%H53-KoB=6
zF^p^E+|{pf9}R-d{^R=-F&6Y^=Q;y!iksY~M&mg$_l7VqsTC!>?<NPEK#;uv*CKf8
z0p4Jay_?+O_VK@I?tTwgQ2p4Cu4~udrS}?khnC+GB>6VtuJ7<X8El@7#<@c8BR2CK
z+dH-nGr03Sjewk&F&oX^f8-TXdxE=-#_jnQfJ3nD*|*D%k?AP@_aucbsZha3V$^Gk
zsMx5tgY-r4)O{~9_PK_7`{eK!-nVM}L{O3+b<IgQC|ygy9%Y`za5LT~@1D<5Ou}a+
z$^QP91PN*xY3xa=2SdYU(0#Hxw-p9}Q)egHt?-)DR!H7`KE~zc86W!PJoMnLcsqig
zcaP6peP%uA2cjky#rFTF$UI*{eK~Gp2F#NMY~QJ{;<j+hU>-0GiHQs^21?H=THB5H
zSaE%Iym0@*Dvt{7AVZtQ=Q?6tqeKd7-&>3?CX?_(K0jn<ImC_4N3`-Zl>d%Y{)>8X
zobkAO48x5iz2o;)+(0}a0Uje9BBS(l*95Zn`>ldha{w58abLz$Sz(LL$vzyhk^Jg4
zZMnmhC{>u9BEcJ>UJQFJc*DpYC`W)aDBVSFO6ni?6dndGg7zyyqK2HB`$h3MGK-ob
z-H!TU>xN4_;$_$!k-4dd1#Ki7nzn*`Z^kDvZqR6JxEzo?s?z@Rlm2-L5Mp!jy752c
zRpDtR%!WvrBgEK0_9|}$VL51!pcXUjXnrPSCr@gOm5`XPxF|TxRDdW74(Dr>Y*x~c
zrw|h(n8EA~Q<#@{?r}yyo+R~J`hX-cG=bwrCFrlVrDb|JyNJ;mQHu#&l(#NxuNu_S
zl7*>GYss{c6?WKTyD_%=PW~73q}Gt-{Q2YY0|l>9I2^0teqXhei;J@Wu5SY@TH|Om
z(aenis3I$Z*Q=G<JY0B%v&=<_)UPf(-s{V@c13&9gj~zbA%=``EWgKWRnEP<<@kM#
zv8wYJaLRnR!zRQ(*l-Q3E1Zli=m<l6K6PB|+^0I4zl90VFg!jHvnW1Pa}d;~(k7fW
zE;Yc<4X31~O$?r(>K)e&UZ^ACvPoLl>bzkHd%mc|-AmmVl#m-}N~BXF+-mZBC{k%<
zSw119a;d}Glbb3x>O2uSdcGx|=N-k+PYLOOi{%31%iV;_it0RFrOhtL5K!dIb_-a^
zbidU%2`&G4yj-`xL;)Iq6v=v5*Eh_}8~X$_cYO&%!Tr3%lq>zXyNg?mr&`6cgd|pp
zvCsF-A6kg(GI5yh+<iS}t;~BEgk~S39xKV9QA%N>HNZ2hL){sc!{4;-h%_8{MdGy;
zk~e2GU78`o%%Gjw6$xwqWUCqrv;`lOy7RmQ`9zl(0f|i}1zcF(uHrTi#m5qP#fCN}
z3SSU5b+xS0N%*?|dVURAeI0yXU91-io3NP4HG@9GeRzLB`3_&3ZkO00yJU%9I-Om!
z^6N%`ZA4k`u+=nGL-mBki@8w?|1K;XdGy=0PD6UVQWy%i;^&xxuQJRv{UvHYGGUds
z*&4li*_VdW=NoT9JJConi3{R1dI8>mVZh}ddPaGDo@N0t!e03dogrb!wvM}LzNw2b
zeL}xHN*VYK^w}<nxF17*9{qb>b(W9E^28$_;sB239(j{vPBqvQ#Mx${!>?6Imjyw4
zxdr?`xCai9mf8OP8fo8J=pQ;!DhlBuM8qzdZ#UjWHL)n3P-=C`aAXw+Qu`~*S9y9~
z`qw{jsW4!Y>@hG(GGIoMD58>*vBV1oKd*-Ahi>BG<Q(avOq#wQ8hoa7g1X;K{awo+
zE`(m^gvNc2^c%~93A58*Q%1MPDT~=7k#Sgh1!xDxv&~=b%Y<xGpHB_7EzhyZ2hj<`
zymta;I`HlO^zr7t-qzMsq|8<CyQR8}&XPvrGh!|qfHAXZ)qOhNUo)4>-M6XU>V-aU
z;--ob)d~Eb2mI?)I5*AILzT8hc*>lcr_91CI@jy$f>tfhXq<}-z^`1BY~Navr8%_i
z*4pN5WQ}~@NjH1?%l}9`ADaJ`))L#9C!aPOeg_Hw%C8Uhg<{WeD%OkVd=hPF-PPK0
zQdl@S6+IZOx2I{yOB1?HtSS`zKDL?tjfY<)UI+Z<5qiA(Cf{rlaW#1hK>lD5Wn!!A
zigobQ1NjjTu8Pnpx6;E&5%^*&F@uno+lJxcaz&$5yCaJSD|8@*UZcYz*Khe_y$9S`
z72lq9)zM0YOz`qDg8o89aX-HfHa@RKTOwb=9=}CCj2MmmP=!pOwMV=gm5O526tibC
zw<I+;Lki!Njd68oRilsRofmk&9%$Hqi+vkY@MB2A{+J>o8R_{KnTfcm0+IUX+9@rZ
z`>TS-WR1{)X!MiL4m9{ChMKXxm5@iek**LQJD)*oB*1fWioN7<6mK!|P?XlY!aK9i
zdW~AAoE>+z%9bHJ&}(q@iSyDox764PQ<yG})TQ-_CK-T?xEC@lU&;2`WQn0KBs`m=
zRN)d<#3O;lz?x8zIs^SO<m0#lRv6Y=IYBzz!%Z;z7goHB<PSrJEyu2}$Cd`E0#r8K
zgo|IE|1yb^$@x_%;N!0MLki`hZEG^xkONAZ$EQ*`McLe<NwJI@)FNRU-J=}aR2nQ~
zJ5k@_MFj#TCg>*{#3UE>bz1B=?<io*xK^^X@4rFR?QF{&S!g#+ZgXPuxlmprSTJ{w
z(#uDyh*%M+V3{}H#Rs4Zyx#4Sb|pC1K=+07eVdB2o_X1i1M7xPnU-8n0_HRTkUEsS
z{SK>^xb`3>jC_$$#D(&;QP)dI@|Jo&3(iXCtV;Rpidk^{rKKIS<qGH8b<9_(I}}RU
zv+p;ck6ODAv4(cosJ!}g5{A~FQjT{=l=Z@2hNQ8Qu!hiirs2?Hg49Av<?!(_WaH~i
z5ak(lT4evdL}pvqgMgQS_&$(V2fhe7m6e`h+;%x743%?_0WrjK%BQGGv<}<U22uQy
zuC#a~tJTKM*NhsD-udqgZpm<FQTy^A&$|tK@G|w+g-Hf%HqiSY#9)=_7x)1@!Y*28
z@$`odqX7<kU@}_6clbPeq__uvc_bqXI1x*m@!<}k$y-OQcYE@ryh(r7now9VBHbl!
zmur%Ummt&FZxhhQei??lk6hxSw>stW2TkdnA`+{`DZ9-+?<STJPEIK#giB<&2gcoT
z#wP)Y@u1Y9A!lR1aYt=)gF+rTUNpOD5sT|(KF~PHi@4PH%c<BU(ujrPh>S&66LEUG
zdRMOrR|w+ufpZSCzEBKfUbEruMLtlsiL1%rF;luEGq)2BtshP4TwFI$-iR%4nHln1
z-gQQ3+5L!{z<5NAX$`3sw}0SCY3r)^aIqXGWurJP>qi|g-chAXlfYLUWn~6H(O;vn
z+q9ndk`vo5R+>Z@bevRp&$EebNH(E%uZSugfBNqNb$Rxs44#x%63u5+fRV^&t~)Am
zK3Kblv*zWhsnlOAHI6$iO`Z)blJ8v&{b4tCxS(#^RtKXzY<7YuS5nr{)PISpbMvmj
zZaPGcoC92ap>ldOnQQH)T`vt=6pJgM9SNkgYaYz@eKWOEZ3&OH{L!b5AwE<m$nAV&
z(|XV~bQQY}il1w4Uhd_i%oKbdB^S@P@8Q_ARkXNihaq<9biZ;0P5X=_b0kqKB!&!e
zEMIF53Xz8HSRo<CY!~PHUlA;ckPZ2<Vi&3<8QU9w71^Mv<NnKHzXd6U4a($E9apbJ
zV<!gVDMX9P1N0}pqtLrB$8qiNfnYXiWn#;|53A5eg|XaO*UBY@ugo(^S7MRQ<4$IB
zOkBspX&gEHt=TLbxbh7tODdC3pF4X&IO>$bpt4e}VS`#OmiqKw#C13vVOX;7AB3Z_
z8|LI>B~^4c#UU<zL?-%7`JgoWMft<Y@3m+jpUdvgnq#vTmXFD6mib0?Gp}$us}nX)
ze3`5EJoCj8fy>C_WefFFtKVCz-0yuh<_jkF$o_o#6si?N2WE8aC@H`E`QpJiA_JZ`
zq=)-ouXXl)U%@y7{EJEY5wBT&xjzbiAQ*6ivmQ8FJJ81u{11|-40Ex}cZ0`_1lWkY
zghjKc$00boDDM8c|A-6VX_aC%-b;nZ7%)b6skIaJ*1Fr!YP87W@HxFRl~XLLlE1zu
z=AOlbC|X)5G<+FPBX%_SSkstFU&^wV<&tAh#cYc@O2>q8HlI-vbe5eM5y*<BLBM80
z4I*@Z`dqf}^agdU_}(BGuo?Tw8h;nyiWYR+;AZy`b2XpJH9E}X_WRv=8Oyh!@i_r%
zlSpPx!(rBMnw`vcnwjo{3S$5ZbclNH_J`C+@3~g@?2^4VC4C*}!*j%?HLr?YC<F82
z+t5JUzB}Uo)Ou?ntLvuXxJPT$D0e>lTT!GD4+}rAhv6b83HF1UT!VHzp=j&a?J!z7
zwafl>6$gHf+vMuLam6oKt~Ic@>-vgUFzWx01zz<Pbl>ny!?eW^yVgev*+Z!)Fr!U<
z35K(lS;MLJVCJ970+|xh+`u`qZHvkj!oWDPD=cHXFPIORYd@6YFQQ4Kdsz&3Qi+KT
zle(4)?vKbh7-$goygbxSRG&yb&48bjo;oIHYcwRHr8F#K0N7qho66a~cjwzIhtymH
zW_j=LXq3Qjk43Xhkdbb#XP^;J`tR-Ls^a6@Z<<>GBSb7oD3qT7U18%P7H(ToQpUpP
zmOIpqTy;uYY8j-B4RxS?0zHjg=Y#q~w#j9+HHMy#kES!HeQk4Rr_7p!=**nS@ZYJ0
zOO7X#&vj{MBZfV$l=)x|A#r^#IdQofo{NRr+A5k_hgz%TU2*PYrv2eKHBAhRE)?re
zb+0={^I%}wQFS_rKskq~I2sdtza(zx8V%1=4#9HxhCX$;v}sEdP`r$(p=n#z^C}5v
z{7-u=&PmI<Dhi-eX_Q4n0xkt8^!$@z|MC1Wb6@$Wb<0a;f_MV4PwQQ0dYqutq(=JK
zWC0$j=^v-W;jJ{eZQ7|s4ulxe9UAJR>k*9l@er`vM%*Hs2)lrQSk7UqZCpgxl7IpW
zqieq^P2RB?Mb3&kkud2<i+a<?k;Bl&VyYRBa*VAI@=Tq8q|z~7>kl2Xc%+h8i!QZs
zB&p1iHPPg1=Gl&$Xwq&zRk_qZW*7xaAwJPL%ED{n0_3eH&(xp&+z{+`U3Xjh668IU
zdH(3gwdql0Bj)a+!2eKex3z9IJjXh`rTCe=Dm@VQ#Z%I+R{f*v1V2ebzRA(2I`Ded
z-vBctog4wW31)QoYmK-$59@*@BogC+p7D>0B`!NB7>ZD~OcuH;qg-krm6IYU(y10x
zN%u%6+Del(*izF4L~;H|g5KXZ%c1_(#+mD|S5&?`+@wDLO;|O#)?Un@(+KHMggEBs
zq=C1~dBG2Uv>a7tFT-s=dS<Rr^51J_c$s&Bm{)+IYxW-qB4loCmF(ER9jBL1Y6xk6
z&r+!n4bE&Grc_Ee4=GVB<slE4$a^GUpU!18(=fUUsOn!G1*6sH_9YDoaiJ{26Wvw0
z;6>vs<{d}dkaDSokxr%D0$GKwYsu0jN0BVhg%Lpq_J{FMH+Ut4*mSg&)%T}v5G7+F
zlQaW$B~g#bw=4=JjD3v$=Jo;E)xxhz@9&Q@ULLtIg}?x)sp8rWfa$pcVtlAa97o7>
zj<z;_kxc%6O=TtPd)<bx2Zoe%S+Sz9qk7?VX9{Lect3Dx2k1IP1_j+1Q96~`#+k|K
z%Dbv|$*3ny{z1#6;P<JnM&Hqnc%;3wEq#Cx9|w@md<^bZeWt7#Oi10-6%R(8^qWFT
zr#C8d3meq=QFLt`18XuIjXN)?4#;KiuR-Q6ZeNT1KEbiAV~wYEg>uv7mT*+QSweGW
zwYD=9g?;*o#>vR7QXizc{2oihM|NXYrgsvA9z1Mli!_&7rs2uVejyh(mV$?4#WYu<
zq8cs}7+cA1xCH}cGMzM+JC|dYMBb6_Q9I~>nB-VSYh6R5g8IF^|F_Pb;bg2b^uv{2
zjgnKuluoN;#nP{v`tJyLh1bSsBDpT=7q3P!iD7&y?NsPrwLHZ_Uc}yue)3l83GXD*
z^S0RrwA*Gh4J{I?RA?@4`y1xz@mK=J!ReUxE>0UW<0-@&tlo-uEH&eXw(0L$LZ+g^
zR=-><0O9yZ@vzt1Md!q^C#gSV>y3YI7)<)i&;P2BpibHTRDb5@E!ey}-n>P%#0flY
zcjC^;*L^M0<Fs9~v@W!H&1e55_0891o+GjvShF~cVn<*YtUICC<kDfReiHZn>vHZJ
z0GMIT7%uWrz_YB4UqyaNCUWd2*Jbzlu!PWKtpqkD<baVP@&~k^^%Z=5C4*nOxd{(}
z%}96l-9(t_F<d_V1&#eUnI~j$7qGH9Ex>0c^@){*;lzVJ*zLVyH^p<*3Fw$Ms>kGG
z=p-2~K;`v)P1Yd~78G~@0M3>pD>T+5`|XPU-3v5d!80_<oeRie4{ByVHgWf##FS4)
zhT2A@UK#a2OUiRHvBNV7mdB9>2BDj+W`7~?c^S^a6Ps>R*nYzW4m`Ru_dGZJ2%Z5f
z3}7|t+Pf!)7wG#PQg)i(*lyMjWFNQCww`ZI$-CttI#btV1fKwj(7)3U1}r<m=1~{7
zWpG(^|AQ_5h1P8P4fMEk9^~`ee(RUZ35uK!6U~WtN7KzZlj-L~Da|6OIGTRH5Cr%C
z(fBj|H_m7qyi-B0jw$Ib?LU@kdu}=ab8(Us;=hJUq-m1=#tfOs+!ddAeTE#{;(p_I
z18r@(#R$Z4x_oGNV&YLwW~y1sq76_^)^^`kI&`h2M$9UvrKPO^z{y1Af&P=s-^xGR
zIfJ2#+~jk=oy6g968qjO>7?axSht)QHM?r7P$|qY0YBZkj<x}M-z$o%ew@uzOyzo=
z(H5bkC%APV?-RGS`<eg+lUpngu`2fcRaSKKe~Ly4c-{gtdDY6fyZIlz6YldWq?9S|
zqQ0al`$w4N4+*6PP$S=!*QQ0){fWS3dzyYe7sJHLXtm!i&HZT83O2k1O5&~KMG#J+
z@XB-!Z^TkUix*ERgKO98w!ECg|2)3ZFN{WF*`?ux+q!sj5L*L1_2?s_2wkBFtRopd
z$ssox7|-KLMQj(Zs#)y9$rTLbd+fOVKl>eW#4ONC#*66c78^y3FG7*<ZR~<1d)egN
zV}xy+lZ{qn%WdwrQqB@i9owgDQ;x*KbE+Ag09SPd9l!O#EtS&@Gc0=~Vs-N49X1-9
zyrJRKKl_=o1TsbJx7w7P2Nzl%;z}W?b4=6M?M*Q9VMCEaV<E&tS<%i(ORqM)|Avpx
zBL=ING>cBgC!&zuasr%BcSiG?6|Q{6&NmB-LptrAS*FTL6wwef4Va|A9hW5!uW|TM
zSdp=|{k!UeTR<qb0Rv|7W1gBwAZja(r*82PMy;^;?GK_v^xR>1K{a*YynSW%eS7_X
z0mUCW;Kxs<Idt}BXkB<=evh=m)s>9wTq?Fw9aK+sI=wWiZq}v<lthT?EH^<5{iI-H
zXBkr#c3$mNN5mFM6nUkhDK4LGuWLl?$;&^MBYB5<@O`!GFEL!D$z&J{k?WQD$~Yrz
zy>Ckvvh~S>bY>`2DcM01(~56}GT(qOx#yJmlJD6(0Ak+RYR%L1hSAv|0ReyYt6wz{
z^b_~oW7oPfzfAJT6b`(j*kM$&@R)CSCwXf=j7V)t87ndKGm)T1MXtjz>-ee)^EApz
zdUQ6~hxr_PQCWuJ8pzl~XJNoQ(*mxJRLwNc)V8+JlgFZYct58#^r;-YJvPB-`grUr
zOck{dF&6l@t00ta#6RKG4Q2+ArHFGysG;-^IE6DOkEz$5JFB*k5-G3#ls}d?EyYE+
zVkP4{6E)W>^Cc%tM*Y!A<hL`OE`D*!Lx;-znz<)5mGdYqI?S^*LaMA}o)7<qC?aQy
zl9Se@e8jZkJCjDPmux0kSZt95kS5J~${k~7y@5CX7#P3x7MuqSzkvW_x)vj*72k>m
zl2O3K*m8KcBG98ZYHE`_^F^b}b~Z*5)&#lAg2qFmmlinVQa+KP>dW8ftr0k>tYxEm
zh~PsR(VoT!!u8t;Ni95<uu4yu)x)PoXb3XEm_G_3{nz80!U6>u@#McVU!nSmk0q3*
z%xGmDiRDIYLB_)SFZ(727ih(YI>rZZlriZeHxcw?>u(KgS=)~XNSuiysdwrVa1pbQ
zZ=ZsG>()O>M6j_94crn<Q;s{wBDSr=7a&=rP-*@!bWT-6q6vQOTd`y0{IcfdpTMP#
z#1)euNpr`v;@k4_q51i%bwY0)fJnesD|qN-exa<<*TX5yGRfqWIHSY&<HVy+k53G}
zocy_&?e#a`P)}K6^I+z`h<Drwm)7Cx<xgEc$od!Z|LEY~i@vnD=kf4@p&}~<cjA>e
zEY`*TB(delnU7pT{*0pR&E+y+mM@qOvcravEG}K-m+wmEpP%-Hd>8T$lywE#|3dJc
z5A$Kge}++WtCUnIdgmdQ`CgQ$JZvULblSVV*;E9GiPwGCfsjX*u?zVZ@c&Vwzhq(p
zJ7phR?9K5=$5`_=)tv|MV{aUR<rl+(dM^oyS$KI-fYAe2>L%4f{<-)-z)A4v5yY=O
z-aivsz<)ptILyrUB1%7m^j9R!WjcxT)iaif&2AdR&~^E02cW!Hov=KQyibd5e)R-o
zy$boOc?$SX=_QZu;%Am->I1G5E+F%(Cm`$fn?iqiqHnf{R5$ybbsH*jgM(M}^w9dv
z%BvA3E4M~Jd*|no{m!~Wq<XwAH-CzT=@r&1QA)8^X@{tDaB+3>=S(WQfjIrcx+oh$
zV!cAn{&f}VpF3`6GswD~ElaVUdQ4|Q*(kvdAiq@N;ga7ES^HmT{jC9VQ4*Raskz2-
zxvx<DO$VR$8jPc4#DiOZmT#JQ4B_p|;KTS1z~=HJve)xse`njat#$;Abwk!4S%hw*
zZGN4!QGk7`e$=?~`CB!tO8SYDn)tSos?-P-^5al5_MMikSZZf6S+e+~)@GZul?fS-
z_DtO_to|31KY5&$-J_kmcepuo=Gr0e(c03;p@4?+uhq7?!#YL8W(}69ifpT*w`{>$
z>0a$$-l{|LwtlSjVNTgpXrlrrlQ=BTCV-CGRC2NSXSWrXMQ>Ny4}A7>w)upE4O?{n
zmR(M*bac!*xTHznAOF<R(-3IJtv@3#`^lk9AhZJQj;pi4W|D0X@xTOWZM4QV&ahOh
zhULfBlUcfI4!kzI@UUU!lr}unYTX!HN*rWJadH0qFNFTnDya;S?&8}@K=Go~)NuWc
zQN0u&k)bb~JONkU5r2J94354&N|+CX_-qqnL%?nwQ+wsrS8aC@yGvM1KdKRft$~~`
z<VaR%5ux+S<!|Lr3QA@CldT>;vHl?J^qFe+*7UdCTRO$kPFm#2I&X^Q1P^B~vz}0`
zj)rx}CfdlZrQbkAx%I!0{LgAf7S<SQYO7@~rG*Hm#;skw&i(8sKeP2v_6J`#{JNa{
zeJMQV*?7(lu>bcj|6)s2Y@Zu`-Syh7^#`tT6P?@D7P((M@e4ZzRHhv_lP6DhpOvAq
zxw0j6Oj`3^y?VP_<#)08U#snkPfwky1N95s6m6X>lf{kI@_X`$C*0>Be8>(!G-;zl
z5<G_b_s2hg7ux=8*1#0Y3Y{bEsUwU%diAu7EEhE}QqjsatF#MFhZN+=;J~^&od>p_
z%FD}b&pC%dumg4K%t=>KUa1{q+7%`o+CyUe`JeD>A@*ZI!M8s8Pa<T}AYw!GcfR`j
zOQJFf*%+8`d?rbpf(tJzXv{RAHx2YPFvQH6Gsivp&yTtrZ@$spt+R|Eh)w28W!Yi&
z%$e@B*I#qvbrdX+xZcX)3gw?IWOi?<<zZM18tG7f4gs`mS>i^G9%UQW88vc>66()>
z*;T7o+uqS}>SQ>gX628_3H85_{MkRufo{_K-LHMkwpx}~l)GD}OqM;TCF%r1Vh!M*
z4d)e=<?gpW^(psv|NHN>sl2m$=nJ2>Q5e%B!-fsBy}jT2tM3WV<IPA}a~($D070pi
zvDh|fsPI4fy)gW9D1O<prN*f2FJbg<qb+@Gv1}s=1S<;3qa-f`|G-~p{#g5XM;0bu
zdiiB{-)BDUdcvp~{BwBV@y8z5QOEse38Scq4l?ZBuTF2cyYsF)3_mZw_@V}peaclk
zwY2NxXFvTn_oXj=(azxdvXdZBX!!Kyz4hy}wC*K-1bikS=6|{MFOEcO8QM=E49my6
zv)<WIK>T;`%?n&1lOC8jIj*_Zu%W|rIC`*cghvwLC=#2^v98C%X_XV&8_Sk1_Sv%k
zvP5SJTg!|HYov#?FZGo6t#W>}qxQnGqvVW6>%$tEYpQGPL<qZ3*pJImC^q3E4zYD?
zk4~Mml&FKb4UV!^YZPnKrj^b8vh`;VG8O?zgWXN+gwn9)8^h{$&TJa3mzarV3eJSG
z2bPmBoYOqSaXgiat%&?FZ=;N7RpI8^)`&@zqY~9lsC*o+Lk!)qW4oCxU8y~+Tea^N
zIC}l|?R5}bTMDT=qU{0g3+CWL%a)~f1kaGBAGTRyinX^aRj_tUoiR_s7Dz<6cADQZ
z+EhzYU_|98UE?C%#@D`sJE=3NEnE6ycvz-5b>gH_l#M6F;dBY{!9RJ%{sIvZ(=q%p
zhc^`I2Y>cmW3>W9YKk0-7^X<!8)AZL?33=zsLTIm3C&{rI9YFeSU+E_j_vi=Uzf<Q
zJ=GdLGvL9kV}*^2-NXqKTsw{Shjd5;(<?o+FSt|3u4c3N&0qgo>+XGRpEFY4vrj)`
zH0cxIxBmRo@Cf1I0(dsq++IWuFqc?=b$dR6u#!?I6Fh9G1jH*7pJ}~dbv)mD?>)C_
z&1xMl8)%24+l9@}B!%TcOqXDAixOaeXyfLMCbD2lh~ru16&12IG}!Daag^(%2#M3J
zYzVKYsI-w8D{^dBA2n*U%&=5w6ZUSmKvotYNC=jFp|fOWrFH94*G(eNUTt7!e=rPo
z!womsMr_PT?h^yUq+HSrBXXq62!#0qJ&Ov>o?Nym61HQ<P9uD5Cq;u|GiS~)Mq!+W
z$vFy#Z5}$3va+@^nL6G!?61+LccuiN_{1md_}unw+td*qwECB|FVoyn2FZk!Q-ax`
zy3JB2!*MehV3@?<A;L-aL5Wi$repsz8|>L^9;YuH%{wdu+AtD_sTpOD==2SCst^S+
z$wJt&_m-+`TWv3Ow;tUkD(@EVs$Eyr0de`9IsuOQZP!S~K4$DhZPR8G&UAvOgUSPo
z3E-or%<M32;4vHqmyJ6#cFyBHE|mUgf9B(>SFbTVvG<xh@*g@yO!`cmG|4)p)vH#@
ze9jCvSO+J1>wp4B2JM)fXzG+YDFzOXLUJHI|B3BSMi)c>q;sX}e@XYF<`y8oTA_4$
zZQHutPFhSDKhcOewh>#<YpTy$Z$?+m!DfzIaV!h#34O&xFbt+u+6v)+_1AxGBL)Y$
zu?+;FeCd%#Y;LkZV&nI}|9$sIfAmKZ`#xuk`VZg#p`9zm{?VR&yA}RJjZVcT_P|s#
zXU%Y9Zy6^gN(VPc$Kf#BIeq$@&TIuuoTQU4>s0owb_&Ia0IsoWdHY1n?a&G{>g<$w
z%&7~?^%vj!3p>TZ=@zUcV#8^(todPltfz>7v^u5@>({#{G-rg+ZoJ_}I}W&C;T(A0
z;sP07000vfNkl<ZtP?tw>VS;#RY$Do{Yv85Y)v0HEwn<N(j%%jjG7XF70s7Uqc4my
z?d4a^lktkV7Yqdh!wih@oCf;QkA7t5c|WFOUjx*UJ~j0znV6Yn(g<@ttCP;LqIJGy
z>{ydbX3v@JUQ~H7O=Bm2R9<>nu*1kU^{J_D>eEx*55E5c*GUoq3Z;NLK~S3bgwpGk
z5Pllyfvj`HNd`U;mP8{yN9JPKDtiC@_q%`kr+><%8`4+0opmbff%_k@=$zi7<40mL
z^Qs#8(Uo8=<li5AOe5{{CLKNa`3FtvvsCKI--?oEQ8(WZW{nfvSE~Mr=<5ro--xgT
zIjL9DKL`;P9Pk~>m%Kyw$eBydp(3(+OLm-IsTMOHcF#TkoDq3ziJ(~f!!9cp`xt@$
z^t<0RaZ6*Eok2yUo1|WS#E9#4)NQN#uEG&LISw{SJ?6hik;15gXgFxlAdSSm%-y+L
zXLpn4#!rfXu-E#~LtoHHTB$j68xe?zS|h+fSvh=N^JMl7-#Y15H(}C56H(t5k?q~H
zD~ofRFZR$<1P7BV%FC_H%u$gJ5Z7<M<z^EJ$Bnzi-F4U9rcs@vbCYu<{&R{0Ob*qY
zame6d8nri?c;2^fr4b2M7jC=tHak~IZ;wog7<<>p?zXu-#=E}$2fuHlBU(!ABIR={
zgbX3}>)*#T*fh@>F(@M$7Ba{mZD&QfqzRcH;jnlUDV$0)O_(xeip^z@r~~@m_r7OS
zjDP#tPsF@)>|i=l3kJQh#DBXwz{cwMkQ&yj<KbaiGjh~OH~rVsRj+W;Mzo~=`Nd4R
z)50@ElyRoa>C+&O6Y9)fQ743`kNFfjM870NXyys@7n57Jew}r4<7MNDgZ%UkboxCt
zT`1Qmidc*^Fk6yWd3l9dhpaFEq$W!ELg+u{AKys{WAAhk_1B0Rdb*fee1}v)bo%%&
zpN{~ov}tH`#WYz~V3NK@4UDMA17c}N=1y2#$B+~Ut~q1cp;HIfes7uPvqO#WIa`Q@
zK<0p)0Y%)!%qCjc13Dv#UD`eseQa*Ve5#3#lra*N$nqX;j=Ob|=+<0>$h>yIfc{ED
z=Qw+GmH4{XG|#oQMJ7sd&q}u*-CRe_-4I#ZX(Zn(5i%tcs!Q3MnTb$Le9$qp*LhXM
zEb?Uz2*dX2J0R(q(a2(h=<s1oq-g#p*w$^B^J(!%(nRx;Qj3FF+ffz=N;MzE3InLc
zjaGKpkfF)B*V9^p;mj!KEA#OW4p0vDA228hLi@?QKduGS>9vr;j9ao<&XG)OZNd^w
zS%)&4V-J;-L0ZgXO}i@baFax3tRaBY4w_q2C+67RoC~&}H0KvSn3oqd@{Ag3C(c7@
ze|rKW;f}PDaB~CnherOG>M~88DjgUW9MEfUZ3&0zF;d1<CYvVtqbt}X34%H8gAabr
z+K6L&bW$jz1`itMt{*<aluq*&%(E$2xu#4=L_Dz$_7T1=l>TGfD^Y)uN_e8fkcb}`
z<Bv!0jMIbq?0tBEu@6x1pNjGdtMHN~@A)}_#1<HrUVr#?!_}xwB^K_}Jv0Mt^x=pa
z$_<V&LB!bW!S<|;$Tepz(I!$5ps}Pk=fE`t#o=Kz$y^J8bpz&H%nNHdXK0U@SR)EV
zMm10}pswfaBDH{!<9ZsCE=DiR#NaPL#mK9_DoFRn(n>@NFc1^VDcDVl4~&5ng(N{N
z(!^F02jw9mZvc)pKIKDJ0sqv4P63e}Kk7?eiOc$Dwn$1=X=#00(Ob4`VbVi)DNXoe
zv~Mqlqa5UiWJ5aCpYL-bTH^CptV8W3CE(s4>toFk{G2``BXnvzI$Lj&RB=`QYH+M@
z%bW6pCcQC~W_3}r{viYZczo&G94W0>82~vC{gF!ZX3bT8XHzQ7oSM!+x`ka5)2R<j
zHY|6=2ay+j0(biiPzTmh9V+e1e0$ooSJiR%c3+gH_ufz6YZAqdotmx*))&y1)>kZ~
zC@)`|_ox3@h8TnIORc{sR<R8^KKnG$_)YREls?TT<L!%zhb01_o)iFaXz9|WZn}=5
zEnm6ZmNQTkv9SOHVO%LeRMMf*nKyV-B0ilqZQ7Zrf|2AyGQ&Yb&>KQ57?JL(%@WwT
zL9=`E#3_xC$JE<4vxRQvd@wi<_M58pXG$97Rz+TFOy<TAEc3_X$4;0z7pw+i@sPAm
z%BnofSEv5+LK}<STL_a%F!G>$p)4%6^AHy;FmRZ9fuJcTbEcR-1P@_Tf3Ftt2fF#L
z);!)blk!tO5EzV3C*(&WUp6|XDrt2i^Fye`k|+dZaTqyaDC%z=m=rMJ89eX}{@H+n
z;tflX{_*7?4rM{Xv~2k@nP^#OagNubT|a5{M;SwWcB9f+lK)w?6ZNN4pdh}yfjU$!
zPfrT7D)@TDd~@G?2~G-lOsV|CKmO2yF)7QvLWr$*f9zxKo_juF_(z$DbcU@f^5-J3
z;}Yjla3SIwtsIxZJn0!2q3N{Qc!L!Tq!F~-Y@i4wwY=)If9f0H>MOshb_MHiHj^R}
zE&n9X#9`hk`-M_wd}Dl-%X+)`My=22*SS+yhtg-MMpo?HtkryHhQtn*L9jJDRJLZH
zeDVqR#v5;#D8s1GNumuRC`&5X?O{!G!9u06beSod&_s?JIZC5xv6*iHhLM|j)O*rk
z(ts#?n0vnV>gzVYVKin={PfdLyCs_AqF}*FJa@Ysly-KeL~%^0pdnnhZmrE*Y($bs
zi^v)u6gF#QKL|TU5Ha?GiT8`2KVh0vOtU~#7-(ZXag%I0&7C_(hP!uJ{Z~k&#{>%^
zTq_X?$|QPsn1T^=%jQkCNddDXi2Q6~z~1gFufAfojEQ&s^}}uCV;O6$nCGWI`H5iW
znnstAet<+lHf1bWFyB4)?~e;7OH7%9=nS(@ed<XgVn+H-GU)Z(v(K8rIi>)8`}WZ~
z_fpvsnr<3*I)Wh*hneTDkqAj!Voe|0RNPBLCxX4J1q&9*lK$Hod8<s(huDtgKe*EP
zH6l>Nl+cqLk$x;VA-lw3-Vq+gN72Yej>rDvF)08Sx>mZ*15+wHckFWi{OJD?ymSH5
z?(+Wm&mXtWam<*}h7+U(I?uC`O4hDjYc#URZfsbpwybs&rTE0|F#|xRlxcabH1Wrm
zDwaReeSG^)O0ZX;{<bO|kwEsor^`i>{|bJw6tS#&$M~@^;v0in17)-sE#|y=okbvL
z&0Y<N#SaA%L;@jV8IXA;Ju{2fEH}WUT<Y@~Y3~q`)n%LbI(YC9Q_7%9M;!aiy`MJ2
zW9LMmECIE+58F&dVGdd59{%#f#uSxGt7VH)H|4e|mS1Nv0i6k2RMtVU|HC)pX8!>L
zZ2hvlqFkeY#_EIWkNsGPebc5*THvp69W=UQ74N~%-7jP`GJ;^vilo9B*|AbCaa96$
z<+PTPiaJC1gHe2ySJ?cnO47t2m7`3S0O?Hbl<{kN{NclgX-?i&3XZPskuN=LB0O_-
zZ^gk|gU1FC#>zUWQ)D#Y76O=xDFGecO}E@+OAm}PJ*5a^3Fywd?lMJRXDwr)FBmy;
zq{`JvcxqvIBmQl--{A(R{d)H<S2=r|mb{t#k7^Co((2h=;R9`x1M^ih^sQR8G;zDL
zIx3+;kLX5i5nLv`c^We>`-${pF#1R(H4l?df3}vcwnKSWQCTUGc7V#$-Zd2iGNtOS
zYfgB`woji*O|eRBKv2(S#bNqI`9Ax=1JZNorZ>Scw;m!I9H40!H@#7c_~hpw>l4Ex
zWT<9d@D-}RhG)tV9$zH;NSuiy*IQqaXAL43ETk7-K9G6fS&cx9g4k1K-W4B2JZm8N
znaH3oPmDgU*}kz1h16hMD4Rd3cQm=oa~Ub=HJO)s80L@4Nf<@Srw8=nK3??p${7HS
z42(k76Y7(BBQ}o$#aU59GA72Jk+{h`+rm|T#4{7+$VzEiIw2OxBU&=5BQ|5@kdYA_
z*qm6sIe8T|Vos~_3dV}51Y?g4p;0F4z{o(F5C@<tkeNv#9`Tuz@&Hp?E1Z)qg|l>3
zP!cf!|Kc}`e?Z9}B?je1WF#|2Pxfw8?;7a<*h9>Hx2!eB-8ZzQpXVyFJt491)$l6=
zmpBtgUP|15s=2!gXjM}FbWC*I)ZHu3{JlJAwz;-~GUY!^w_<s7+B(TLapdLiaSQ$p
zA{Q(#oAU-{U^8%u(>sJ;nlgQoaCv3jDMWPn(DTDY*qD}}Ekfus>xrE8%DU5(qRWTY
z2Sb%oCh_q3(Dq$V<g8cL9dk|JKJ@%B4MUs3G0%x9kX+gHvhExp`?$RPEp|N_WWBQP
zhVqYw)9Qxj`uMcc6wQ@>Ccs&*tUCcn96t2?Fv2IaKo=y23RGt)SiBH9(-r>4;y+>3
zhASMak%35@i6cRucQoWrXbg+*_lr@;KaiRb6-KB8b&10xG5KxCAAlGZ-#$|ASCWvy
z7xFh&7cM?H{7V*~iIO73Px*L%LVWQ;Av3@<VEVvN@sWS}Ay0jTZ#2ICiEkeezam@`
zp^$$8|3)wgg(SrKQKCO49)WQJCxy@OrLZgm2GH<|(;WX989K07Ox9A+hyIf$>xMjO
z`VlbrgwHg*kbjB`LtXMyz<+`YIsS9gpUtlQEENepB?-GH#PE>INCpwXEJz=5nj8FM
z3}Z+6#c%)4{(3|g@&^wE{1@miGM1<zPx4IWsGemqzr=|gX5Og>hrZ|N-cpW?ossr3
zd5kHw_^*ic0LFlpMjDsC!0*P%NjyoyI}}D_RBB1*kx9e46!oBZSyvOH6GdT#{0sQM
zR`l1Rw1wTh%SjzSrqkVo(LEvA#No-=2={#SAILrfV(X}$%za`>lJJTG4AvZJEEa}2
z6~9X-Mp$t79OHFrq!l6k7~u=e{vG_2H2I>y)^kubF<8)b8<K$)NF)8&?jOQpl#q%(
zLucSq<(CJ4o<ja9(G>9S>EcS$AM5U%A!d!}9BWykx=4SKFFYlN{1upiFgo==DGghE
z{Ul|T!x+_j_z)Y!LUh)~Y*fpO#MwR0F|w%7ep!3OP@d01@-ePuCkVJs_nU;``Zvjo
zD{UQ&>RB91&Hp56<Q6)`L>9J?e*yo{$+e|F_K$bbrV&ItQE>WLF;X8th{mxtmQmo4
zy}i7nA^uB6-wacvxy3}%H(~5+J)^B?wy|3a;2~Ru$Ys<*pW#tvX;B7(0wBf5>3_rc
z8S+oVyvw4*_<GwQY$)-SCYO+`Pp^=_&|1L%wW2>r5o;RkuJiN^-PV1KMpHr!02z<>
z;lGqovuS7In|J<q0$Vqru1^A-Is_DVv80|ESAHV--w9~lfVw^jaOx0HA^+IBr)WuB
z`AE$FZV>Q%q?$xBpaT9c4*$7~Y6NVfvBzoyT%Mpj(}3QY@c<}(+M6G|)Y}LD7;FJP
z&`!B<(={9Rxu3IC`&c>kkiXN&;$#x=&WuM$FATn6IDh~AO+t?a`T**GHS=ftAt!Rq
z=nU|QlgC|49my-z_P=CnozQnR^Y=}1{`N2AUqAnOMh*1Me3QMBHt&=OS*lI(@oXs3
zIeAf~lM!r4N8n_iDtju~(9GUin29Z0>|H&r{kH6z<%k*E%n%JYrP7qWv+;?1mC2t=
zYB|-w&EZVaD=I2<UUh(uBZYV|PE6x+-Z8EC&ZL#=mHEmzGvM#<6b?96X6Ge!N+xK*
z?ArRKO=P@Uwl=u<m=iR%t5dk-z&vvxdNz*Xv6r<(H`j4a^-`WQI#arT|6ZAE*=D9@
z1`Zr#o9-Ly9O}{IN9@QK`;Tppv@%GAIDd?fV}mD;pR{ts4$#U9tW7!mGz8rRNBvGK
zKlV>E9U?7s5!O`(SaM(ke2LDOo;|0dhuT9-{cZ29I%(RU@&KNcCg7i(IHHG<HOdQ~
z;{INsFX)MF8Q+;mxn7yCj57m%Y0j8dd}mV0^~&6jY6h;BEpu<np6&7#%k9|E{W@L1
zF)%C_faTe<=GgHf><PiNtu@*W8aP-+q;8O5vA%{V4j5xk=QSP4TC1a9m=)mw_)Rz7
zq*E)m$?VE7D~=T;QbKrRsBD_-|6<OAONu$c&oM8qgD=y0L2K<8CsxW5%2X?HCJr^J
zj~d@ZHFr!azGIpS^`sR&1P~+V!<v5#j0qDj^}|I6xJDfi^~0<Qo7;<3$4QeWxiMqL
zm}2gyKmDmO5Qi5yCplcFiwK7RfBY~1s*^Px+{B3!%xD)m*mHsTQ*7)jzah(g|N5{0
z>UQg}^|!w9P1j8)O|U@t!yo)W)+Bn_+0Op5gpptWqdI{7vdaG4bI;mo8`=V01(yI9
zNlC~-3swW@ydU|>m)&|D16;Uhu~`h{ur_wC&S)UOvIX@ytvX@|d(@~=4s$lFBFvaE
z!_4zwxudHTG&kRJi<zO}q*a2>fPa`8^C>_4!9U2F#sGKw9e0`q!~`yNB(AhYu6_Gc
d?90jj{{xckez6U;3#b49002ovPDHLkV1hPO^n3sS

literal 0
HcmV?d00001

diff --git a/ppstructure/README.md b/ppstructure/README.md
index 2833bd07..0303fcb4 100644
--- a/ppstructure/README.md
+++ b/ppstructure/README.md
@@ -103,15 +103,25 @@ Table OCR converts table image into excel documents, which include the detection
 Use the following commands to complete the inference. 
 
 ```python
-python3 table/predict_system.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output=../output/table --vis_font_path=../doc/fonts/simfang.ttf
+cd PaddleOCR/ppstructure
+
+# download model
+mkdir inference && cd inference
+# Download the detection model of the ultra-lightweight Chinese OCR model and uncompress it
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_infer.tar
+# Download the recognition model of the ultra-lightweight Chinese OCR model and uncompress it
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
+# Download the table structure model of the ultra-lightweight Chinese OCR model and uncompress it
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar && tar xf en_ppocr_mobile_v2.0_table_structure_infer.tar
+cd ..
+
+python3 table/predict_system.py --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer --table_model_dir=inference/en_ppocr_mobile_v2.0_table_structure_infer --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/ppocr_keys_v1.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=ch --det_limit_side_len=736 --det_limit_type=min --output=../output/table --vis_font_path=../doc/fonts/simfang.ttf
 ```
-After running, each image will have a directory with the same name under the directory specified in the output field. Each table in the picture will be stored as an excel, and the excel file name will be the coordinates of the table in the image.
+After running, each image will have a directory with the same name under the directory specified in the output field. Each table in the picture will be stored as an excel and figure area will be cropped and saved, the excel and image file name will be the coordinates of the table in the image.
 
 **Model List**
 
 
 |model name|description|config|model size|download|
 | --- | --- | --- | --- | --- |
-|en_ppocr_mobile_v2.0_table_det|Text detection in English table scene|[ch_det_mv3_db_v2.0.yml](../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)| 4.7M |[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_det_infer.tar) |
-|en_ppocr_mobile_v2.0_table_rec|Text recognition in English table scene|[rec_chinese_lite_train_v2.0.yml](..//configs/rec/rec_mv3_none_bilstm_ctc.yml)|6.9M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_rec_infer.tar) |
 |en_ppocr_mobile_v2.0_table_structure|Table structure prediction for English table scenarios|[table_mv3.yml](../configs/table/table_mv3.yml)|18.6M|[inference model](https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar) |
\ No newline at end of file
diff --git a/ppstructure/README_ch.md b/ppstructure/README_ch.md
index 4f961cfc..709757d5 100644
--- a/ppstructure/README_ch.md
+++ b/ppstructure/README_ch.md
@@ -97,7 +97,7 @@ dict 里各个字段说明如下
 
 版面分析对文档数据进行区域分类，其中包括版面分析工具的Python脚本使用、提取指定类别检测框、性能指标以及自定义训练版面分析模型，详细内容可以参考[文档](layout/README.md)。
 
-### 2.2 表格识别
+### 2.2 表格结构化
 
 Table OCR将表格图片转换为excel文档，其中包含对于表格文本的检测和识别以及对于表格结构和单元格坐标的预测，详细说明参考[文档](table/README_ch.md)
 
@@ -106,14 +106,24 @@ Table OCR将表格图片转换为excel文档，其中包含对于表格文本的
 使用如下命令即可完成预测引擎的推理
 
 ```python
-python3 table/predict_system.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output=../output/table --vis_font_path=../doc/fonts/simfang.ttf
+cd PaddleOCR/ppstructure
+
+# 下载模型
+mkdir inference && cd inference
+# 下载超轻量级中文OCR模型的检测模型并解压
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_infer.tar
+# 下载超轻量级中文OCR模型的识别模型并解压
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
+# 下载超轻量级英文表格英寸模型并解压
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar && tar xf en_ppocr_mobile_v2.0_table_structure_infer.tar
+cd ..
+
+python3 table/predict_system.py --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer --table_model_dir=inference/en_ppocr_mobile_v2.0_table_structure_infer --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/ppocr_keys_v1.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=ch --det_limit_side_len=736 --det_limit_type=min --output=../output/table --vis_font_path=../doc/fonts/simfang.ttf
 ```
-运行完成后，每张图片会output字段指定的目录下有一个同名目录，图片里的每个表格会存储为一个excel，excel文件名为表格在图片里的坐标。
+运行完成后，每张图片会在`output`字段指定的目录下有一个同名目录，图片里的每个表格会存储为一个excel，图片区域会被裁剪之后保存下来，excel文件和图片名名为表格在图片里的坐标。
 
 **Model List**
 
 |模型名称|模型简介|配置文件|推理模型大小|下载地址|
 | --- | --- | --- | --- | --- |
-|en_ppocr_mobile_v2.0_table_det|英文表格场景的文字检测|[ch_det_mv3_db_v2.0.yml](../configs/det/ch_ppocr_v2.0/ch_det_mv3_db_v2.0.yml)| 4.7M |[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_det_infer.tar) |
-|en_ppocr_mobile_v2.0_table_rec|英文表格场景的文字识别|[rec_chinese_lite_train_v2.0.yml](../configs/rec/rec_mv3_none_bilstm_ctc.yml)|6.9M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_rec_infer.tar) |
 |en_ppocr_mobile_v2.0_table_structure|英文表格场景的表格结构预测|[table_mv3.yml](../configs/table/table_mv3.yml)|18.6M|[推理模型](https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar) |
\ No newline at end of file
diff --git a/ppstructure/table/README.md b/ppstructure/table/README.md
index c538db27..4c3d789a 100644
--- a/ppstructure/table/README.md
+++ b/ppstructure/table/README.md
@@ -17,8 +17,26 @@ The table ocr flow chart is as follows
 
 ## 2. How to use
 
+### 2.1 quick start
 
-### 2.1 Train
+```python
+cd PaddleOCR/ppstructure
+
+# download model
+mkdir inference && cd inference
+# Download the detection model of the ultra-lightweight Chinese OCR model and uncompress it
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_infer.tar
+# Download the recognition model of the ultra-lightweight Chinese OCR model and uncompress it
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
+# Download the table structure model of the ultra-lightweight Chinese OCR model and uncompress it
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar && tar xf en_ppocr_mobile_v2.0_table_structure_infer.tar
+cd ..
+
+python3 table/predict_table.py --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer --table_model_dir=inference/en_ppocr_mobile_v2.0_table_structure_infer --image_dir=../doc/table/table.jpg --rec_char_dict_path=../ppocr/utils/ppocr_keys_v1.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=ch --det_limit_side_len=736 --det_limit_type=min --output ../output/table
+```
+After running, the excel sheet of each picture will be saved in the directory specified by the output field
+
+### 2.2 Train
 
 In this chapter, we only introduce the training of the table structure model, For model training of [text detection](../../doc/doc_en/detection_en.md) and [text recognition](../../doc/doc_en/recognition_en.md), please refer to the corresponding documents
 
@@ -48,7 +66,7 @@ python3 tools/train.py -c configs/table/table_mv3.yml -o Global.checkpoints=./yo
 
 **Note**: The priority of `Global.checkpoints` is higher than that of `Global.pretrain_weights`, that is, when two parameters are specified at the same time, the model specified by `Global.checkpoints` will be loaded first. If the model path specified by `Global.checkpoints` is wrong, the one specified by `Global.pretrain_weights` will be loaded.
 
-### 2.2 Eval
+### 2.3 Eval
 
 The table uses TEDS (Tree-Edit-Distance-based Similarity) as the evaluation metric of the model. Before the model evaluation, the three models in the pipeline need to be exported as inference models (we have provided them), and the gt for evaluation needs to be prepared. Examples of gt are as follows:
 ```json
@@ -70,7 +88,7 @@ python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_di
 ```
 
 
-### 2.3 Inference
+### 2.4 Inference
 
 ```python
 cd PaddleOCR/ppstructure
diff --git a/ppstructure/table/README_ch.md b/ppstructure/table/README_ch.md
index 5981dab4..a1bd2442 100644
--- a/ppstructure/table/README_ch.md
+++ b/ppstructure/table/README_ch.md
@@ -1,6 +1,6 @@
-# Table OCR
+# 表格结构化
 
-## 1. Table OCR pineline
+## 1. 表格结构化 pineline
 表格的ocr主要包含三个模型
 1. 单行文本检测-DB
 2. 单行文本识别-CRNN
@@ -19,7 +19,26 @@
 
 ## 2. 使用
 
-### 2.1 训练
+### 2.1 快速开始
+
+```python
+cd PaddleOCR/ppstructure
+
+# 下载模型
+mkdir inference && cd inference
+# 下载超轻量级中文OCR模型的检测模型并解压
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar && tar xf ch_ppocr_mobile_v2.0_det_infer.tar
+# 下载超轻量级中文OCR模型的识别模型并解压
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_rec_infer.tar && tar xf ch_ppocr_mobile_v2.0_rec_infer.tar
+# 下载超轻量级英文表格英寸模型并解压
+wget https://paddleocr.bj.bcebos.com/dygraph_v2.0/table/en_ppocr_mobile_v2.0_table_structure_infer.tar && tar xf en_ppocr_mobile_v2.0_table_structure_infer.tar
+cd ..
+# 执行预测
+python3 table/predict_table.py --det_model_dir=inference/ch_ppocr_mobile_v2.0_det_infer --rec_model_dir=inference/ch_ppocr_mobile_v2.0_rec_infer --table_model_dir=inference/en_ppocr_mobile_v2.0_table_structure_infer --image_dir=../doc/table/table.jpg --rec_char_dict_path=../ppocr/utils/ppocr_keys_v1.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=ch --det_limit_side_len=736 --det_limit_type=min --output ../output/table
+```
+运行完成后，每张图片的excel表格会保存到output字段指定的目录下
+
+### 2.2 训练
 在这一章节中，我们仅介绍表格结构模型的训练，[文字检测](../../doc/doc_ch/detection.md)和[文字识别](../../doc/doc_ch/recognition.md)的模型训练请参考对应的文档。
 
 #### 数据准备  
@@ -46,7 +65,7 @@ python3 tools/train.py -c configs/table/table_mv3.yml -o Global.checkpoints=./yo
 **注意**：`Global.checkpoints`的优先级高于`Global.pretrain_weights`的优先级，即同时指定两个参数时，优先加载`Global.checkpoints`指定的模型，如果`Global.checkpoints`指定的模型路径有误，会加载`Global.pretrain_weights`指定的模型。
 
 
-### 2.2 评估
+### 2.3 评估
 
 表格使用 TEDS(Tree-Edit-Distance-based Similarity) 作为模型的评估指标。在进行模型评估之前，需要将pipeline中的三个模型分别导出为inference模型(我们已经提供好)，还需要准备评估的gt， gt示例如下:
 ```json
@@ -56,7 +75,7 @@ python3 tools/train.py -c configs/table/table_mv3.yml -o Global.checkpoints=./yo
   [["<b>", "F", "e", "a", "t", "u", "r", "e", "</b>"], ["<b>", "G", "b", "3", " ", "+", "</b>"], ["<b>", "G", "b", "3", " ", "-", "</b>"], ["<b>", "P", "a", "t", "i", "e", "n", "t", "s", "</b>"], ["6", "2"], ["4", "5"]]
 ]}
 ```
-json 中，key为图片名，value为对应的gt，gt是一个由四个item组成的list，每个item分别为
+json 中，key为图片名，value为对应的gt，gt是一个由三个item组成的list，每个item分别为
 1. 表格结构的html字符串list
 2. 每个cell的坐标 (不包括cell里文字为空的)
 3. 每个cell里的文字信息 (不包括cell里文字为空的)
@@ -67,10 +86,9 @@ cd PaddleOCR/ppstructure
 python3 table/eval_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --gt_path=path/to/gt.json
 ```
 
+### 2.4 预测
 
-### 2.3 预测
 ```python
 cd PaddleOCR/ppstructure
 python3 table/predict_table.py --det_model_dir=path/to/det_model_dir --rec_model_dir=path/to/rec_model_dir --table_model_dir=path/to/table_model_dir --image_dir=../doc/table/1.png --rec_char_dict_path=../ppocr/utils/dict/table_dict.txt --table_char_dict_path=../ppocr/utils/dict/table_structure_dict.txt --rec_char_type=EN --det_limit_side_len=736 --det_limit_type=min --output ../output/table
-```
-运行完成后，每张图片的excel表格会保存到output字段指定的目录下
+```
\ No newline at end of file
-- 
GitLab