From 6a7ff04cab674de010012874e2e35ff2540637db Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Thu, 21 May 2020 14:42:15 -0400
Subject: [PATCH 1/9] removing tutorial form the repository

---
 .binder/postBuild                           |   1 -
 tutorial/figures/nd_spl.tikz                |  13 -
 tutorial/figures/nd_spl_1.png               | Bin 16319 -> 0 bytes
 tutorial/figures/nd_spl_1.tikz              |  16 -
 tutorial/figures/nd_spl_2.png               | Bin 18393 -> 0 bytes
 tutorial/figures/nd_spl_2.tikz              |  18 -
 tutorial/figures/nd_spl_3.png               | Bin 26547 -> 0 bytes
 tutorial/figures/nd_spl_3.tikz              |  20 -
 tutorial/figures/nd_spl_3_comb1.png         | Bin 27292 -> 0 bytes
 tutorial/figures/nd_spl_3_comb1.tikz        |  26 -
 tutorial/figures/nd_spl_3_comb2.png         | Bin 27636 -> 0 bytes
 tutorial/figures/nd_spl_3_comb2.tikz        |  26 -
 tutorial/figures/nd_spl_3_comb3.png         | Bin 28176 -> 0 bytes
 tutorial/figures/nd_spl_3_comb3.tikz        |  25 -
 tutorial/figures/nd_spl_4.png               | Bin 16849 -> 0 bytes
 tutorial/figures/nd_spl_4.tikz              |  14 -
 tutorial/figures/nd_spl_cmb_1.tikz          |  24 -
 tutorial/figures/nd_spl_sm.png              | Bin 15990 -> 0 bytes
 tutorial/figures/sample_dj.tikzstyles       |  29 -
 tutorial/figures/wf_1.png                   | Bin 10295 -> 0 bytes
 tutorial/figures/wf_1.tikz                  |  19 -
 tutorial/figures/wf_2.png                   | Bin 24503 -> 0 bytes
 tutorial/figures/wf_2.tikz                  |  24 -
 tutorial/figures/wf_3.png                   | Bin 20036 -> 0 bytes
 tutorial/figures/wf_3.tikz                  |  25 -
 tutorial/figures/wf_4.png                   | Bin 20704 -> 0 bytes
 tutorial/figures/wf_4.tikz                  |  27 -
 tutorial/figures/wf_5.png                   | Bin 13233 -> 0 bytes
 tutorial/figures/wf_5.tikz                  |  22 -
 tutorial/figures/wf_6.png                   | Bin 29683 -> 0 bytes
 tutorial/figures/wf_6.tikz                  |  51 --
 tutorial/figures/wf_7.png                   | Bin 44779 -> 0 bytes
 tutorial/figures/wf_7.tikz                  |  95 ---
 tutorial/figures/wf_8.png                   | Bin 35242 -> 0 bytes
 tutorial/figures/wf_8.tikz                  | 101 ---
 tutorial/figures/wf_9.png                   | Bin 25933 -> 0 bytes
 tutorial/figures/wf_9.tikz                  |  35 -
 tutorial/notebooks/intro_functiontask.ipynb | 617 ----------------
 tutorial/notebooks/intro_shelltask.ipynb    | 449 ------------
 tutorial/notebooks/intro_task_state.ipynb   | 735 --------------------
 tutorial/notebooks/intro_workflow.ipynb     | 574 ---------------
 tutorial/test_notebooks.py                  |  54 --
 42 files changed, 3040 deletions(-)
 delete mode 100644 .binder/postBuild
 delete mode 100644 tutorial/figures/nd_spl.tikz
 delete mode 100644 tutorial/figures/nd_spl_1.png
 delete mode 100644 tutorial/figures/nd_spl_1.tikz
 delete mode 100644 tutorial/figures/nd_spl_2.png
 delete mode 100644 tutorial/figures/nd_spl_2.tikz
 delete mode 100644 tutorial/figures/nd_spl_3.png
 delete mode 100644 tutorial/figures/nd_spl_3.tikz
 delete mode 100644 tutorial/figures/nd_spl_3_comb1.png
 delete mode 100644 tutorial/figures/nd_spl_3_comb1.tikz
 delete mode 100644 tutorial/figures/nd_spl_3_comb2.png
 delete mode 100644 tutorial/figures/nd_spl_3_comb2.tikz
 delete mode 100644 tutorial/figures/nd_spl_3_comb3.png
 delete mode 100644 tutorial/figures/nd_spl_3_comb3.tikz
 delete mode 100644 tutorial/figures/nd_spl_4.png
 delete mode 100644 tutorial/figures/nd_spl_4.tikz
 delete mode 100644 tutorial/figures/nd_spl_cmb_1.tikz
 delete mode 100644 tutorial/figures/nd_spl_sm.png
 delete mode 100644 tutorial/figures/sample_dj.tikzstyles
 delete mode 100644 tutorial/figures/wf_1.png
 delete mode 100644 tutorial/figures/wf_1.tikz
 delete mode 100644 tutorial/figures/wf_2.png
 delete mode 100644 tutorial/figures/wf_2.tikz
 delete mode 100644 tutorial/figures/wf_3.png
 delete mode 100644 tutorial/figures/wf_3.tikz
 delete mode 100644 tutorial/figures/wf_4.png
 delete mode 100644 tutorial/figures/wf_4.tikz
 delete mode 100644 tutorial/figures/wf_5.png
 delete mode 100644 tutorial/figures/wf_5.tikz
 delete mode 100644 tutorial/figures/wf_6.png
 delete mode 100644 tutorial/figures/wf_6.tikz
 delete mode 100644 tutorial/figures/wf_7.png
 delete mode 100644 tutorial/figures/wf_7.tikz
 delete mode 100644 tutorial/figures/wf_8.png
 delete mode 100644 tutorial/figures/wf_8.tikz
 delete mode 100644 tutorial/figures/wf_9.png
 delete mode 100644 tutorial/figures/wf_9.tikz
 delete mode 100644 tutorial/notebooks/intro_functiontask.ipynb
 delete mode 100644 tutorial/notebooks/intro_shelltask.ipynb
 delete mode 100644 tutorial/notebooks/intro_task_state.ipynb
 delete mode 100644 tutorial/notebooks/intro_workflow.ipynb
 delete mode 100644 tutorial/test_notebooks.py

diff --git a/.binder/postBuild b/.binder/postBuild
deleted file mode 100644
index cc9f025ba9..0000000000
--- a/.binder/postBuild
+++ /dev/null
@@ -1 +0,0 @@
-pip install -e .[test]
diff --git a/tutorial/figures/nd_spl.tikz b/tutorial/figures/nd_spl.tikz
deleted file mode 100644
index e4c29da5c0..0000000000
--- a/tutorial/figures/nd_spl.tikz
+++ /dev/null
@@ -1,13 +0,0 @@
-\begin{tikzpicture}[font={\tiny}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}, label={above:x=[1,2,3]}] (0) at (0, -5.5) {};
-		\node [style={nd_blue}, label={above:x=1}] (1) at (-2, -7) {};
-		\node [style={nd_red}, label={above:x=2}] (2) at (0, -7) {};
-		\node [style={nd_green, opacity=0.02}, label={\small above:x=3}] (3) at (2, -7) {};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_1.png b/tutorial/figures/nd_spl_1.png
deleted file mode 100644
index 35782911faa34915ef98a8ef4f4c101e516f88ac..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16319
zcmcIrg<Dravp%GB3rIIeH%OO+bVx|2NGk|P3(_T^bW3-4BOu+~NOyPK_51FBaG#40
zj|;!Up558mnRjO1306^(K}R7%fglK7PF6|{f?&kKHvtkX_)SxzaTxdy*+Evv5rR;0
z|9!(iiOGZzL;=Z3iEFqfAEbQI#_b{Qp~u347yselm%ai6|NJ#`dOF2Yrtc?9;bTp)
zy+zH9yqbwhl(n}~g)9CHeUzW9eQQlRRCT{G@QGtk`j%0)icT43A<6kD@=~6C@$iW5
z-5*M#Tuw=FSxTUE;3t8;iqYV|XhQc9qiBY;B7}{yNe`gJ>P7s29R|4)L+ylgF})_`
zb@s$WM2KjFZJzQ}Q9pkCI4(n_VondBB}Vj%ii^|I)|SmyJ3BqK<R(fi$<Kdf-iHVK
z6@peA_~Bt!`+hPl6ecGpD<~=!7Z(Sjz2LMMAk4E04uGz5e)7jFY*xM>j*gBl(Qnk$
z(b?JA`Cw|w<+QD$uC6YgsDtP?Ix-@bJC2HiLMGx79~~`07qhsqKtf8IkxGl5XB_;s
z%cQHj8}Zq*@f{~+<>6P3n=>;rghWJ_r!`2v>swpzEi6)n-D8z<?{02b44P)<<`QMU
zd2%Cvg~N7dzzd0q!G+q!$73Wis%mOb^3%J!yT5<OLPbSYR2*z;Ys<`}qI?eDj+JM8
zl3iWR!^x?pt{$U6*VEI($IBa1w4Irm+14fo`2+?&)2N7t<6(}d(qi+MXzvf}?v~c*
zO-)Tz=`}$m!3-sJ67cMeriFaebCqW2=GJU6#IV+HFZSkZY#kjOuFr-=Gsfi?d^pHV
z;6uAk&(EElotK*3`NE}fpTWREK~kAO%HrZMU&T~3H6uboI_9bVc>56H6MzN$`1zBE
zn;QiMrKzdum^YXD&6_u>s;b;XEd2bg=i8$Sbh!4R6ox)$&#wI_{#2OvkByIi;3i5?
z=$<Dr_};r7$7Yx+;`vTel3GN>YpO`cRTuv20s9g=A)2SBCtZw=iVDRhtTZJ~u!x8V
zH<9gR!CNmcFC^a;+o&oyo-le1#>qc_wztx}m6ViXnGLZM6j&J;{tOS-R#km_u=4my
z)E%Ce#~>&uh~mHY_pe_qi?Fzy+{;(5W(NlcJ33(d2xV4W3CVqZeU(xK-oAbNnkwqJ
zCR=NNz7`V_ql+OI^;)=VQ<lZ_IqT&2L5Y|CCD-6nFZKF0i%!KiiHx9Lk9Z9j9%ifC
zR3Ftmje?XEee!J`SrP{!W;F>($-68c7^tSEhLV!fjPpfA_-iz95*Um>clY+@19ch6
z$<q=OiBM5PMQ*<1=o%TmlLDKjrl$Tt$bpD}Anb9?&cT6QB8HD%#>Rqz1)sqG(ZtNm
zERBF2TFFiGf`#sH_ex!fsaV>aweeit+;EWKcXU|V%s5$?nKOU=%3e+I7c8r#b^=Gl
z$;lZK8hXMj<@8-PYkS*LOG`^21>;$F2VzZUhkvh`m8B)#^XGEL_nn)ANreRkb4R(z
z*oZ2f9bMz&juUyRmh3TAUnzoGTD)9c`Sq4)G|~h7WhEp!3f>lid9$Y^lfHjnIXKW)
zQ=_Wpp@0RSBKT6cxw&l(r^TIW{^{?xUjGv{Hj9gm4(5bSp;J^+>Ym3+78iyM4-b#7
zu2b^`x`bj$jTU#B4v&EF^{Lds*9c>xOeH8Jq{01))u}hLOq<!<+<XQP6*<p%Uz~V#
zecdd0MpuTrO||^khp0O>FE4Lp#pn?G8`klY!$<HO93fk{aC>`uu2M?JJjzMO$jC@<
z?@L}@e0#}TiZaq}!m9QUwzmFUnWX7z`NX_7K8v^mKwAh&Jj)tgjvkL!JAp+A3lE2Z
zfLiF**wj0$`ZhHQ9igU)dXo_lOixTqjEz;e94(3aA)fqE$WU2o@ze!h+S+xVcg}Ed
ze&^@s$Hxxt?sq)aQ^$2!;#jX<)r&NF5b;TQ|5jg?1{YcS*Q(n2?qp$oX{kZ8+wR0m
z1O$YZT-vG0$zq*KL{HC^wyz(?b54frjf}vx>t1zuy#9+RBO}9I4y-#re|)JwxC&pt
ze)XsnZ$KcyG(}EPqQ^p7TZwRXaWQQ5YNmL&Sz9x)qv!*-PEAcMF)`6~UDR<CZSFf~
z!T_aYfKz|LWTBR%GR$Th2XU;Kg@xTr*;o6Tv9YoEctZTp?99y5o3pL8wKd!Mnw{NU
z=ReN-Gv#0wdp0c%4XNo_Q{Vdfn<PH_k!d!ArjhAs@Z0q$@9wY{;PStE^@^T;YgqJY
zUsK17vpzG^x7V!WkUKyO-BixT#zssGTDIx!?QLmk+1S|lB@@ZY#`bhEZK(V1UCZF+
z!NKB=979D#MKfQu@U~BVL&NQ#C~7{tg_We`-@m2azOBy6TAwP`ZR%-TUfbEZ*`MWl
z8A;hg*d%!788|hi2|>#z^l`eib}a9zkR;*eA_G-Nwi(1riu3Z0FE3dc84F5FWw5de
zZGaK*etO`$ZK$gHAx6>UeicD|>>A&>DkUv_dvk*vjZ5`URl@G?J%C9THzAB5c~xQD
z84wnR=2Vyng!KOXdvo&*j9Fkm1Qxfdy`LUipB~+Z!|v~nT7hZ{hQ&NRTrCF$1$72u
z;s*cr@$vC{hMBnogtNK1dEiJ#ON)Sr*y4Hu3#n*n<)){PEXJb~6DJkx){=>OHNC%-
zY(cOh<l1&>C@d_bcttMkmIZEee*O)(rlL>x>aSmK=mPV6xj);vW3w44MsdtS#laEv
zCYuVW;{7lg&_+H!K5oyhkmpQVC3>}Xq<r*#?Pb-~=9~$w50}JH+rq*<5G>@=*Y^e}
z>N8BT_=JRyT*^tjETW>KoSYR^Rp%T1aX`sQg<Q)h3=={#GK|g5X-RNQktWzJ7Mk5%
z4j1Zu*TW(r@M)656o%iUTMQ)wA2{%EcjY2G+}9`Ia;SHQCn?!kP*7lhl%AiT5FbCY
zu&^KkT*Sxe5`Ezsl&;ay^2|(tDwtLla4gn0H|J(%RxF{w&YSxi$6Q4|0)Z4eD=Wqo
zbjMGhq{E52_=uARAMbA}eXigkOH0d<9jEp)Nmt+tUN{MmF8e(8#?ad@w>0PF1<9lW
zmn0WMhx~~TBXGPGoX*4D*`QpunsSPO`G*fL(^J4oUotRYv2%T6W1qqy9$92GGDm^^
z`9}E5Y1a9E4U3JDU>G_xe*fqwwmlOKoW8z(ognN#9S#TxKwP2|%K{L<2H3aGdH7%$
zx2$q-TEx4%yT`oZCO*1fj8K7)+BOk<QB^wQjcskiYmuYj{o32+zlp$tPkwiGt=jt1
zz_=`RqvRPQNmYD38Jl5uSP{#JYd87YBs4MtF|&L{3c)2}#z(csy~P8nh}iD;-5vHP
z%ECh1^@-80#>zI*#N^l7TC7l9&J@<XZ|8)0#sk|<7nq17B514z@C0nW_a4V5)PIH$
z>F6k^VDG)*Nadu|)p5am7-ekX=)ha&=jYEXU!9tlSrg<HBWx!#eubnX5lc!|4)u=*
zA9bT8K781j$X7q9$vlGQjcr!!E`m-xOZ8xEZCC#GJki|V`tI9|%+|oftE$4(HR?`H
z!YH&(0~;zGK@z-*o=pN)<lyA=dr8;N&T(%QW~uclF)tq(ex~nNAU8K;Xoy9QiO&kZ
zHSAZ%?{G>J6a;yBY5&9`AP77(!EA@0iR(tg2?ij;|D-CnRn&;Rt=hWnH++#ks@LNS
z%MT}gkre4=SjYOX`8kLU?=s3A>5-72#Kg84!htl*sbaYH_O{s<$9k~~EI<X17nw66
zVSuVQZVh#LeQ3<2s&jj8Gmm(=50jBWAw*&`3wwF=Oy71qCJ7aOhJ+wK0ocPG7|3U9
zxP5yR`pnP6?b9G|{BQ+9WzH-CoktTB8ibtTw61mqv$g4?miYMi+Dqm6JEHdFBI{v<
z?Jz!-_T;hIRk<~><71~A7egr|=;#CT42+Cp6BEDhYsLT~FzwD${RNOKujHEd69Sio
zPgvL!&D`wQ2@NqC*!G%<J!H6Nu&?UbN?+m`*++gs*3r>9JUonF)=UKM3XLjidwu;!
zN=kTp^X4GjyLU$2VG%nG4Pg86@y87{EvZkUExI#2e12dDzk>~rf=6BXsi;hD&v)V%
zP<&x~I<<j)k4{VsIlNzTBqC}{;!Dp)n3(Xv=m~0Zg?aa`ZM9S1;BF1!_+sN|oJf@H
z+c&3ZuM0*72FU%=ClFIy9<{9EHkynCO|$fHDsCGOUL1Iu6{UAGusmV3mzS4ALqpBN
z9<FUr*(X|lZ?Z6Q%o<xbXJ;`*^dE74>t^4RP|1XM$Fk8NLOu*L^NS`+?<cm0t!q~!
zGk78*5arN6!$LBeDN9|xd=mO{`b~kZ(|>9P_Nw|fp{?z~-PO_6<+U0wv6PgL;}%%E
zm=Z>OJR~n)W=D#3nV+{c1S3Go!04MTFK)}i?}Rin3!|e`W=l-RH3r-kF9*lT$;r+`
zF@;`w00$j6_xZB-lm8a7C#o;Sr%#`N+Xoj8KhHQ!oG;PN*7o`Oy<I*PCFSZ&x#_}L
zAEh?T!x*6?Rn#A|(-?Z?V_vC!e&8Q5MeluTpL=4>V3;Zcgmk#r2*B=AKoB+>V&|Vf
zdFAEU(w4>;Hi6|mv$ORD1tD*;*KC6bPsWu+fhUlFL4}*aK=uDGn3=)*)h4Z-Cx(uS
z051;EM08AyyI}7G{qgB3(W_5p_PK+U`VbEQdmu`nqDm*m=k4e~j0p7aTI&kkaS{k)
z(yO#kl$AxoD?9c%D8tGa-vNgKAcoo<s*<eiKS%iT<=4uM4md0AI)EPm2$X$4gCE+(
z$;%rN5pj4xg@vRHpd4ywmzt(#&Zwo@_QG7#7st16p9`_-&9sq4IH;<rg+xZib&!1q
zTdlU91`sH;meP}a1|t+!RJ0Yi&7Bj~U*dnqX78|sM*xbAAQOJ4qw|7@D5RD$6B5Ug
zk?8^94ujDsFf7<#c@^<cvWEp-a}<*R*a3P3g!&FFJ%}Po77wLsXsE=#NA(#3!dp$v
zrA8M_d&w*$@FqL}s5dvIe~sR*3tXqCr-KORV$z<z2EgJh5N-iX)85gMd6cpYUQ2|J
zkBGqRwz3eNCocH}fb#9wurLDy12c1&QtnlPJ&m{+`roz|&pSkPqKWr<dX@x4D1>bP
zB80@Gr1A0b_k)SFqny%MX0sLMz=>;>8j$i>;fcHEa!51)(SP(Av;ZJTA%W9hBBQRM
z0l;`lB;Q)q#eiP3ckkW-)J4E%fJVY!*3?8&^Q;aWp4E(v^T&_>Kox)x#l<WsO5WGU
zs{;vKwEg`*zkg59$XMOnjE#?Hpr_9*E=GsIhj2^Ia?~oFRQ{c-z$)egt5#5u`H}|b
zB?rgHu`D@Yf{>AsuM>e8^tD-Pnw_6dlF0ZM&**E&Qeah8RS^*rTU%S7@T%<k{52kJ
zUv=o~?+4JDXB5us3H9fj&!0c12z=f>`P<Vq_3GP@eNs}A%<I>l)--cn0HbID9NHzc
z17Fjb`KzD+1xg?7`XC2F99mjh8XP$g#4$3yS&;stKsVms-#<CYBP1jQVDETtSW!_?
zYN`QvkE3JdHp`E9=>e~$Y;A4j<wI*~crmwFqGW}<?p*;YaBw)T`}h|GQ~V4GT_!+X
zKUi9Z0oaw5Wd@={Ax_+2DSiD#fKg*(@uPGYHpI|FeQ*DLxsj5Ridz_>p`(A`ey6QH
z6M#;9esS^9CPwvwk%?(*Ym4Cd^N%vEO{yv?BU4kXOiZSgvsCOjusqC8;BbLRE-o&>
z`Vd<Crlw-0f4!EGdG_qt-rindKtRaYN5yP4KKrFG4C~Qme((x})+PWafaJTnx>UNU
zAaI4a`S{{uW34`X_$=S1SNG=eYS|ma#VX4@p<NvdN_dEV*m!tZ#l;7kn-(S}V>2^#
z0Hvh9ngMZy#@n|{OiUT$8Z%<8RaoK=RX|rjJl)(%>`QTVv@Ghpul?o?NEO6{hK4pb
zKLB^(R&P!d+SNBOpz!8RgV%%G>({T1j8=RRP}y}_B5zk=pr&T%y8+l5b6q*fLcURv
zQMvZ)>@4u~qobov0*e57gZF}5gaREVA-j)DZd{iMN5TMrOAQSTb#-;g$t33(tgNg6
zAMI!c>R_q70LKY1sHyvVB!WESjJ8z=033k&O-@XFdxsU;#mLN@HNK;qDrC%=K*}5C
z<m5ClG9oK4UszPMPG@ChrIf(gH8tftk}l56%L^hyiN*VRAPWE!febrJQ1StCa(C_d
z6a>MGgPBLBkCvK=In9tDF*!Np(h+RJJ4%g}Im!K1(tb+VAStR^tpSTljw4DJ0`AMd
zi;XT)RM@!FP!=#U;T*odKgm+EUrM_Ei#2LZUS*+!zor2u{@43*5;cUd2P_cU&W!YH
zW9-0mdx1EU9Wnjx)AsJJL|`}txSd!KboJ1NlDE1v=4FV{WE+Ks1P{A#1t*yv;NDex
z_el&M=J4(-rAnu8Ah9eG^>;VmvBN-Y4DuDGrqoL{vb^A<XII)7a?ikX$lwR~?oURr
zVGrBFU<?DsNMKB>(z%ET#u#7>!s11^?oUX_gm<H+=>d%}VH;SC?3cgZ1KW=R#=QSK
zh6iJGFn%V6e)g>UQxFb#UOzqH2F~=A6dITZU!~K-r<|k?G8Kh?W))As9t$U9v>)gr
zhVFtKw$Vlk<bb5onF1dF4NrL2PLQ{%1Rgg5B3VJ7aF8)#4y=PQ6$M!Oo*ax_VZj*U
zxqnXBPdU^!6ItRz^!RTzjz;@3xnk(vU?;Nh?3aIa(*t0@G&o?IZD@i$Y~#BSc)~qP
zzmq*yQsQelxn9=0f5S{LWEd+n2Gi}d&0ylaoCMEq6N4c|3Q<5gi6_`TW%z$aXfGol
zz6+ptYDb6!bN6`3#swHN%aBW3nTlq~f~kHDQ>T=Zk7fRwidNQmKTyMx5G>~T82;Vp
z6%U#zIPwpn58HqL%{3OR(dBh+4(7u6Anj%%dRqbJ3j9G$TTbq&3Fd->&7!{iWp4#0
z5UV@CnTZt11JlCnh%HAvY+L`E;k(jKXE{0isweG#vw^=x$%NhX^!3ppu^C$u3<@kr
zRTB|PFDbDzJtIv}AY(W30b$aSyi~4lbyZcC10$jMcaUHNCd&n_dr{D3L`q4X34;Fg
z;h3325OrWA`wO0E1v={wAEIPwNQ%1<oKj&SpWrz7;$v_j6Xz1^8eK+zYdSMQV$#x@
zu@rDnS$Vmt7X9qZ%y(HDTH0)b*qP^q*73b&ORe6byqAaJ#M2POWx=ZQg8$FJ0uE%v
zF&C0_fLmCePC*WRPdbZMy*?VJ$AqB6L$dx@PkVFo$;vbWzF5hE9N!mc()d5!ww(8?
zw}~Mi|I3KZ3$!pNCm0A<I>E7$hu5>u6b}}PP8BKma36oNmOvL=<vP0dqVhd(G^j^g
zv~~`;#FLYg?#|ByQc_c+y!NJw!_Lt@M>lMI8<h;e808uvWfz<MGZT~)uG7oRRtP~V
zTor`&%TH%ltrnX(b|s;}`&-!BD$?MT--tj^5%+*eImlmu7&IkD(j`^IyW6H#)xvaQ
z0uj|K@U+5YZtwlXv)-#1yQHKTKR-WGl7^G{H3xp+kox-i)Ht6Hm~oaG)PFi0NGRxg
zL!cX&AFF8^7^$H}%5Y7(q@^h|I2^2?<of+#Y_y%y;mK>jTX#)PS9cyjO8@{HFVv0M
z34zn*e}O;M{Xuto)r99`axa4^Ft{*m@2PF1R~xm4E6B4{Q!Rv-*DHI+JIAM{YGjtv
zshcO+{o47-Kd#25ixncrOcgB~TZm}ZxU|CY`U-tX{=##*56%D<7PiKIc}S~wyAz-q
zO?CB3zSr{bXo!D%^czbIT3eh`_wMD?ixdZM3_Ec(9o5%NcZ0W?Cebg5`E2KEOl8vS
zV@Fw&fYGj~;9MTiVEp`W`x!V~Yma8qWI9Y@k*c`t>B)&4nw;g}h|=PGLFe=M#zuEG
z@)Y4|_LyGa9~+$yb`viIn_3J@^JZH4oIT{f=zNq|2zSiIw4GZ&yE|$Z0@2vdpEkUW
z!^#L;gkg(<&K6m@#mOA@e>=L~p!o8_!k)HNti^?HnQ*GZJv?~NRp#2)_9FTI%cfj$
z5^6MW{Cw^u$R{uu&nW+UM*fYvoG77FQA<rr+?&H-Ln86-xbza-+}s)y=i~YITE&YY
z^&o3HCvaOhWv7_iVm`(Fl8H%1TAB*!)Ry-{&<5~iULqpW($ebT(j!zQN5}6X{`~=B
z;=3*9L(k8TyL)IMsS!#N9zvV1gD{&+MdKB60s|ZSVdGx+6D-Mvri#2L+Jr@fw6&wz
zmPNc*w8h%kU`)Fsa>jRr8<lJ4jS>BfZG}fiEPqG3V_NTRUlmOpsu^fD{SAEnux|c$
z?Xc>~XnK13>L%Za(SNPMA)`3Ii`;A8pK?*@OLSc28lQIs!cE`Bp686;!_IgvaBmo`
zX@CCw$(D~}HP~(V5*NvyHUCoXV=v`1<yQg%1}#qYjp(1Q=2rjwk)@{orI>V;!v9&(
z46M*{Z`-gXR=}|)Fe*yb%#0>+X3O*y7CiDfrbCM8({+w5*zofNu=lB)&2!Z0z<e~i
zqy*J`ji{eYCIY{`D3I1xS6jY>E*JmU)Ae3r<^-9doZ$p#>X#KY8Sk`|<Jyg!_TJ6<
z_(0;Plt^nE)ilieP7~qh9I?3WM&?HxJmiAryZeJ))&?zZuS~ncPES7pg!Sdi7riiS
zUIjYG_JuG0=L_)<GJhn)U)%rlf#a@wC!LDT9#fvT=e<kq;^(|U5V$B9f$CaXAYaNo
z;5s7~-Ivf${}!<zXbA`C>B}Juzlq7sVFOD5Ks~M<VA$~T*al6?HwRLBOsXHTi6-T1
z9gmEu|6sPr<KdaD{XIlk)A}J5uRu4u;IUCPD_X}!ySCV$S5lf()jPk~f3{8TeJ&?M
z5ZGA{3`UVoWzEs-T8$ay(x%VpSO`xlu_y1%_1zt6bXsdbf<jLHtJ(ICL!0EV4g~Bd
z#NsvAt}kEq>bE*qAB9i-d&h*+#(BM9Q|w>cegf@5#pR=Ac@6dYxE~W&W+359r<mx(
zdz$4>`@&wgMMX=!(X6F*SejhCq1WS|(F(vI-K=n!EvVMz;KHKr7$)<Ss=wNu>~A?Q
zltA!Ucz?&u<blYn|Fvv3^zz_4F?U&HZ~U9=x!Kv^pFXO)R#tI!Md!2Y{aW2k9`BHR
z2NDF8g%Hpn?P}*jlc%ra$+<29TQtG!2?`Ynvwb^`U5afGlv%VNo-QeS&;!@H-!qRt
zkUqY%_R<JyYZJGMD#y++&H%~cCdX5&z+9!zHh7U74qE8|u~4TJYL%?m%G--$Nhxc&
z0I{x(`#<7qI*wmY%Jbgb9O4c<XB+}=;&L1(_j8_^@eZtI(N_Z-c6uz(<*41?-*4y}
z&kj&dMnXmw_T=D{vq1>!kpBLKtA|w7%L$a7T<6D_goK6OF%}FTEPx2n0~{FfDo>h3
zhSBrGP*fye1;<ni6A`D$?&q%a9f7q^c&s0FRNuax{JEFwhz=@iph)t2BH6B3w=MLv
zVhzEO4wNg5D}1mCGO4J&kLMLy9Y|f+swikg-J5RKvEA%S)&=n3U}14${zj&}qUn=c
zA;Tqo;dtbHTBtRf;zlJf%I-@c(BLL|_{zj|ivb6fgW@Fz-MOoZ&WB){23=q=0s^`_
zW4090-HDaiIK6~$Pir#hXj#zhCEZ|Cl+t$jFHR4RzxvTw{7hOdD6UL?e|PuH<4%=c
zq!{iQMi}W`3Oq6)#O}E%LH!Hc*f{r?H;exI=6c_tLd_Q*4Z1eJkiNA}r0Le6Mq1lm
z-)?mD`}aJSlcl|wm{BgJ9_fFq5V-O$o3}61g{{as5l?6+MZ7jDHloKu?S^BTl7Bvf
zlke-JDLitdT9;a%l&9~AT(gy}6?dO-a#IRCk01iIM$@1u|D?cLB-_rg<4PIPDSX3b
zMh+1xkW6rLim;!f3y6{PE!$jS`$f7>^G60;I{@hIv-PH@COhV1?K-7r`WL74kXlFD
zldj3pxd_pinD%DA5ttl?9){%PD6889%6)faV&puXZhpj+=se-g3T!GZBHTL|ota^H
zIgbdBh-fDK3!W68AwU%^qd6<>nx#lm{XXsF_;69Q<amiW0~k35#!JIWuO9FlkOxV>
zcV3y6B=&Bb4@osm&#xX?I=L*?1vM@#W_%_J3WrY2Js`?0V7mL6m;{Pw?&dIlEsZ+u
z>KZd|6TGlgXU6_z!uYe{@NOe|9_bfYOniC27L{}ty@b+l`o*XPX+qkUtT)|V@t2Ax
z)6V?N%r=9!q&O@_kWZ$`Q&(zXiC#TOOx&L=SN04K;@UI0g?`P6ZRl&GS595AMe@cV
z;a}PGf2znbSmQReQc_}#>0Qt9m^|(+Q^!!ZSTla!&9CVA%KegLN%I)gg|jWp29g=t
zGnDjN(s-HHBmcVUwgXf&WM>*`tmotsMcW4)0ujD*bkgbTP7TKD;&843Gd!gL<KQmB
zLI7UKj+AJKIJr3KBFphMrbs$Et>?n5NBOjw@s|RQ*FXsXRalQNKK(BQk(>YH0vy-C
z66@g)q6=Q|;H`xQ#Kfp;y4iR4((LQ3)CdU+!`U;ro=p3P5^u3}&!gC=sHs$u3yKH|
z65C6<VmmY1#P*{#6}JT#cLr*{)%^HZxW$rR;C6H7<65KJuSRXfc&EKf+os}e9C-1P
z*UN;09yCh<M%@b5^FQu-U3Euk6+o@F>&Nd`t0me^6F>J-=wKmjW=%WR#gRYoT7}o@
z8rRAu9_P}_Y1f<FFN|ZOQUfT0Tm|IM&dzuc(GRD}(Wo{zM7?{=g<Z8&MKomWFI}8X
z6{L@c?B&UtPu7i}+Mp=yX<JZB-xSg<G7U6rO&6B^^=WQy#-`@ypsViPk?T>l(5Rin
zeu}nJF&Q?bqOHx}?p86QgevO&=F4N4+S%6|_Oq6dT`_U)qP!XJYlrdZXq*$Y%k*)}
zvjdXjnoRkj#o!N?w^imR(IBHy_)>1X)^>s2Th-^vjVumrnp|SI-?UtN?Ztl7_jsc{
zBfr|``k!uw8Ja2Gh`qI$<bSYyF>L5FZGJI(ZnO=PsTUW`&B;60;6+e}2+hTT{8@lx
zS1tC`)M%QB<0`-w#ArL+1(4*gRglo_s4U<U8gk>d`xf7Tc}D0@JNZ_3F|OcTizrXX
z=)t4*^O>Hcok4iE*>PP61CzCdP}9S=K<%ic7*in+!X-^7rMIsq6L42224uDwWrg7u
zKXBz*2)q7BP44~6=%nX!iwy#eNHSsRNIE=ar;7kWbke0oQxY3`Wm8RWtZ2Dr8a6&H
z8?Bd%Zr>l7MG1syu)D@TAVL(3ucEH}shuvmE;ACMqF!n1D`>s^2w7TNGg;s{s%sz?
zz(S1ug|3GDChKv5IcQLNMaTym=A1!^$QSHl7g2SOS!!HdKe~8ga|%i}<;WhU{G9AU
zT5|BA^yUIV^A3hHOp{rRU*SJzO1MEaHOLzam+0gf-^NigA3UtF@1W}v0mh4*w79ru
zBPR|P7TwVs^Vj&AYI;(h@$dBYjg8oC4n2nNo2D_jj%usRbNPo}a8%Uh9vMfBj;#I|
z;QgnpaEgy2YA6S9?NnDALn`WPE|(K@7u>#UY8Z4|S<O|AczzEl<K<Z1sa{z4Gc);E
z_$=?f^BLq*(tvn`I*Et|N?50h%+6dte6NmiO^zlfC$wU<SWhkqi$t#HvbRC0Q4H$W
zWTE_nbi!SFIUMKWf0U|{#;SY3<AIm9dhk6%5>$hr0%MD}w96(-t?tCcxb;i#Ym<}j
zLukimZL;!r#^=xlF&-QCRE`ft*?wOf>LU3EVtxr{IF@MB=RdL#&b!fW9qOvCS^c%a
zIJ`V{^8r&cO~B6gu0<d6X=a*2>J`%e9M0oNP^Db|#ElA-8J%iS{$zl)*}oo6N=1KV
zZ!P*UHuNPewRP_B@K9w+@_WH4kG#bOuPxc})u|fXZ&t?E^73y?+&+BNaXa-(mvkq6
ze_Cn_RESrJSd0e^Qdya<Zgg5*A4>DxSYHRgeC}2T^QbXS!rspAO<1JCN<&d$A#ah6
z%2`HYDGw)nf~2?J$T;6xQl&1^sSS=Wh{HV2CU`wOq`V*Y1PmdcIp}#N^GT`uN8~^W
zhN}I2Up|qN!xV!q1~y%sbKJ&o?<3Q)0;`21diakV9{0ZmNQs5*uJhhHZk`RjGXC-9
zw$b}~35!4j@$?nu`edbzEh!5ZsygIT6EU@1Z*N1VTWFovBi+N}X~j!qF|+eFyUSdV
z_c17S@;7m{IGnOR%Bt$BRA%z*wko3ZZ8&<k)?-74b-LhK*suo~<fAhPuZMoNRQ*@-
z^UsaCBNYIdx6ikhXO(tJv(O;fA&*W|jLY>M%Ws3Nvr$n|&xeEcnp~6PDov*1+S+Qf
zX?e)^^!G_1$Qj=>#58)nVdkV$MVFqMyGap3#|62?bL>MAPd)eVZs%V+eQmhLrWkXG
zJ%1fM$9x=mcz-g+)=#-z3W#3nxymq5(OjKL*Ic%~V&m@ao?Zj3ihn=OjRwDXfRT|U
z1hH4LFV+e>EUKlA$4N*hoCU+Woo;i?+<T)}Vt?zoKQ{Utp5Ta|Q7Ru2T9EK_*^>{!
zvtQSpv!dcOx~40PpMCsx&&)z|$QttbTgT>EUjl!Bp}x;3v?)F}A03_a3<GnUZKSAF
zVfrk=Bw{P1^kZphYBQMvk(tn1zaHLE9kLG9<(-LA+Mb7~$i?+hMlPHG>Ch{W-$-rY
z)kOu21Z6%1!<7((OE-7bA)BAmh??~BT&sZw-Bfrq1uyiJhHcBFBW3#`5FYP1=?aZf
zcfxUf0}p=q{&a`Qns_zBYhGPbEtN27VqsxGaddJV5gIYvsBv~~`Qomipa9jfvGB7Q
z3XP3SjE?e%Ew{McxNeVN7r+U+EZEPk>u70pUZsMZLF>KqJ1u)zm+;j=39XNM8Y7Fc
zIn1}#f}tD>wJw!p1Jwx&ABJ3>ZxniC;$&Ip<`jIQKBkCVT5P55@?HoEJAe8q_zWM%
zvny`PYRgTNdim4I8pqp_jlt}$?18@Ba!o@fA?lm2omE3jO+{HA!!<s<yiX|Pc{y(T
z`x#11LPlF`Ra&pm$%*m3j{<Tikcc4)>dq${2b~u>K2|gBUn6n%od-6q1*bcP7NxLg
z_Kf@Z3rh<PaR1uf*IhYi5j=WvXIB3lu7rmuB)^NxOcQn#6?}ib=^@5u%)@u0?RqWw
z$M^;8YS3^^?oGY<q(c8wDRQyx_4V3OQwg__l>FUPsmvTaf0$;3>^h~9h3DdGApyYO
z^IkZDaVN1ywlWx7M*;2rR&;DVyFIs&qP9zX<L0;f2wX9^V-S?H&IUKy^MiiBhE-ov
zz-=yLEAr#qwHCi>Nk7W;$k+(i2yNtpfMCCCKLmwUk}>t1+1Of1$Cgja`dDeJtNUHv
zCe$d!HCGdBQENOa=<Dt6k$U2>Z_)C4jC*S_U2^}*afphnHNfiu575x0`2zS92Nlyq
z`H<u5o0_yGB^7G_QYIyO<&_@2>AWcFmX|x37mkI2?6T+^1^6eqJ>a3T`8lu1rn1G#
zejNxBJCc+E5gOT@bJWCy7yrq|XjoPCPc1H%o8k($6T0OkeG->mG1JYY#6-O3f~CiC
z%9T5%j?J14fFPmuLz57l>t6c_fQGY-fas`dPs~#E;ajGQnhvd^yT@HaKBtS%BeiKs
zqJ}7~nY@-Ok>Y}`hS%jKUlr)!G&&tOhrWn?8Kkbg+8zAzrIgJOZG2?H`AW}o&2pul
zEAWnq5uMzacS>zLsX$~vA*9j0xT2|Q-IEeBN{FkBtvS@_dBtT>e_F@Lx0T&b!jUq@
z&Bf=Pm^S`4KCmGAl=tdrBk1=sH5>EiR331sJzVq>_6D|gA7<-}%FDC_NgMGK^p7{^
zoiKBEn%M4h&zmuI6kK}QdAN!T^R*@p^g3~Ex`&hZ1{gfjB>R`kKHHjqc{|~6{q(4R
z9DLF1(j#p=Zy{td(|55flYCp4krBnfr2AG!crLohY8++qYe5s6hk|E8b~eI@@CgnM
zPDC0%!FiGtS@g(rFXDwKA%Zvf{f2MXH~MKOwn!yj(xkLklKysPlEB1t89$*035S4M
z%6L^Rb-~UlgvAjxM99e8{IjT>ht|Lq1TtZsr$*Z<9Qs;DmS#V$zx9cxtsl2kz&b5&
zuyWei9(*#~TD3)pZF>KMU*V&eAy75he`Ti1rlR=i*Ek5jwhg(sDqKs<5umUaTy$rX
zj+&L}rtT+OAG{(O=cxbyh^}|s%ApN5U9pY)a(Uh5i(q*B(eQpclz=6(*()GTj__=^
zi<*zm;Fq}vC}vV6C2r!KUY)-|ky9pT(XEHIXKMI8GE$bPqpzh7;@0@6gnNgO&N%);
zHlkD>Ym567>+6JX9JThZm6A5U)jn@>(5>1QzeEK%8u8m;M6W`1MMcLvmI3p-rfs<?
z$A9p;A#u+8@zG@>kBuwBkQ;=~_vgKSbMH9xxtCe``a@732P<o806ETpS+|^upA#0F
zLeJp-%L!eYjRjqepYe}DuOzmImmGmRCv>zNi#<Jo#GCi8JEf>Tj?<-0WNF`{b%uSb
zBYu2@F=+_`oVV{b7ME*^A^@t3Ijr9-iiX_1(3+Z>La;}<m39$W8^{J#+fU10;ah<7
zS?4H-gBeryEu4a5lt5p<i(@7ouF?DcWSGB~-!|-7(PqxGSvLL6Go6GWK`E-yo}R7E
zx54(=mTWt~?O(>^81mQvWJpgh-ydr;toi1Y)Rsl@BpLtEr~m$jBO!mgC~O@E-*M6O
z#H2h0)^fPUc7Dh|+1@I8f5#`DsWy^ScuHhLbPH3R;m6OVJyt{c=k>-jZ6J+M+1<4i
zvE%TkVg?5f>sY|=liij<6Z#Hi(Iy?-bOMgkN+rneg#?@ygfoHYFz`p5X3@o*w&uGf
zue|HDYHVD3rJ~X&ih9M9n4W~WcZtzdAR|&kDoE4tQkvLU4x1gK;J?1o)jE>3Q}@`N
zNl+x_`+R(HpG%4e{qCV>HY`6?>Od`D<ZNN0DZ!RTe)Vx}(_fzBu2Jufw&uU_E~R)l
zdq`lQpiD&b#ryL4#z?lRxbrk`BnGAf*9k`%bdYyb`b_eEV|#OzMdFNoWjjOo8}HO)
zAr7y%4@FRF#L$W2e2xyX=LJ#?^Frm~=dP<3FE3Z(F=1`ySm3Zh{x16SJr1$)aMG?b
z$J*NdY^9*bL~y_hw1B9n(c-#XAx-KK;tlgI)J+Af`FQswmHY|+GriQbMrLuD1iJs^
zM53ZAB5Zx7uwJ})aV+1~we46jW1mIM+|kL3w~m*co$U#d7w!mvx10)CrahQUGrk9z
zA%ZsWI?X0SfB{CU3bIRpPUfN<ncaFHR!ixtrf;}~T_*U7=PeG%N;$Z=Oiz!tI$Yu`
z1t6gu&_3w>xv`!Wh|JpeXvH)%G=%dk{@Vll&62<w{_x`Sr^Jv{82Sv7hrf|?v73%A
zv_=ht#+3w*O$WbE{^D?aoqj1rbuw3NU0b@C-Hf;AxA`v}<~_GY4rrHeaVO;riTt}v
zUZ9iKc=)HqV}^AOlZA)h6joJ9NzB8uD$uEeGW4oSUUmKqY2s)q&ol3Q`ZD#g@tgP0
z?ejEt?-9<}mN5wCP4yti=G#MO11T;ueE^`f{LJn5tOeZiPmbFJ)DfX)8tQ5$0|!Y2
zj-R%pS&bklSSnM<gWoz3b2%p5VO?e7wUx+&LB%y00V_WU7e$ghVuuWA0Sn6JTeJCr
zv$;P^PXy`TsPO5fFEltiQ^oPsOJ~2;yQ}u!KZ@GB-JS=3!|-eEni^siVI8tvj@Z2w
zXtLe;CaFq5eb_VV`02I{7q@G9*?YWOQC?3oBsVPbiL4-to#N$=$Pr2$Iug>#Njb>o
z#l(zv+zjCs9q?2;anzI(n5n9HPO)XGFaR2W>%1>5U1wlrVj?fXy^wj)^ZZa!?~kjY
zK8}ue17P;{_SNy+oJC#lL}Bj+34)}}U^3p0r6xCBYh1w_FV1CpI&z@8XlQ7lB2&|5
zJ|{LQp0jDn!Bt7{Elv1#YsW8=T$D&Ob@(PCI>^tj(}kBeW?@q>jI>l{&2cUrNo;1H
zT8r&9P0y7u%rAa^er_I~gQc4Hv7wdxe+Wt8m|mh`NwtY#{r45TwsTd^2O%M+(a2LV
z2(!)aWXrH=R<;yh?3~oszmk?FOe?1oAtWSJ03^V3J#N|8pBIpXA_GcFN_Cx$47;|J
zBU43Q@T=76TCIV#_+|R8MZfM>?4`ayKS2v+U@JaOZX6J^|KsVUZ^`Og5G6(R{CSJH
zCLW6+CuwOhEHJ!VgCv1fUd)Uh^Yp~uE@$Ru|B=B(WDSnbG@G24+@j;SW?g>zhhH@R
zFbmdBm>~A>^!&g*XMcx5F6@vTzEa62sit=do7?qx2dk#uz;U${j{g=A%~@C`r{6y)
z$ed;UCRCO70h_wry#e{l>$@X4Ma6@&R(d>~;Pcaqz0sOwonrmO`~7l;PzxTu2Uj|?
zDU7r;0=85n^aCy><|ROt&+MSG_%PU%Z)g96y|XW-uXxaM@HHb)Y21?A&~VvKfBwLr
zJT1*$RdqC+DL0NSftARchvjazN$0PDkUR?`<L=>fj8l-*TJXq7Qh9ljGMP@@`$kJm
z{@3rbw2Sp`RmE${%Rf%>jn;b-gQ_B+iu~<~u-B<HUA`2<E^;uT-rxQc|DuMKSJT-%
z+gvy(d55#xj}3%DqBe^;1p=;Hk?r`V-zvz7z&qQQou{Y0gZRC@F86gh7$np{yMcyw
z{PN}?>H+B$tKs<M3+!e_-@%p#c2E23mx{K<f0(pr_|Q;swV9_fBm-gL;HIzL8r|xU
zs4>2Um#H6Sr|=V67~6dW%uh15r``Gh7zoK%uhAL(?J3A9bw}JOl}~RyK!EutBK)V$
zWv8R}_7<}zg6yM<OI&mdi6NLaN;2>s4vs#ue4+Wb`$CYaFUi4R-0p3IF6LOIL2FTd
z@#o!v7rpPAUTT1cS33hiZ7$`#V8a)ds<Pjk^_m9nqOjbLrX~e3)JZN6W~cjm%uBh$
zd@23_5(6fwNOV-{rjX}j*sR^Jf$qF~^ut3>D{Im9EsN#Q$d)uG_r4$bt@k))wzlY#
zcPvQ03(9Zinym?h`CJZ!rf*_$;xS35{CJd)n3z&Gx1_Qc`aLcdT>jFzuqo#)DH)e*
zuWoe?rwXg<=v23vruvPWb!JGqm2KuXRrw}HeZG^{Yfpmp_I`TKq-j)fP6UVU2>ztj
zei;K(G%YoiS6jdH<D4FsqrB-~)rX%y1ogYM4KxRe3K-bfh6cYR#Cp^=G+2#NT>(q~
ziho8vc)B2tJz)S;1%7ugycrx|C$`{p$xMlgD9K+{G4Fa@cCNwZZ7fREdCX|2E1=rh
zp|(<T-U!4zv<r<b)?3}*M@#$Z3z}x^mzrL9o=Mv&Ex{+9{OZx!ezE;7jFyS<@~)<G
z5zt<=)D1OM{_#Wx|1^-Ny&0qU*B~?Ai96qoERXIejzuFXnx>Td-dwn#$V7U1`_t8z
z+SiAPL^Q-nM}N#Jeqgq_b;hCOj*`6>?(6TB^BlRUr%9xV_G|9Ui=tMP4zDUNk1BfL
z`;CGh`V(|!{AK{qn~xs+%RTE%mL<x{SI_y^t3#Zmt)qkdK|+Ip=ny>GWyUE-gJWay
z8ZM^StXvy#Rmu{cqg(oiUavB!p-WO=4YadZ;lO@10u)|&s#!7ct7!E9%TTr^;1!7y
zsH@%m0Dfe5*Q#m%tC&<|*%apV<m5|Gkm~J4{=2Cs;&ClT71a%FE@)o@RW(FE@n54I
zot>b+fpOwf7uKi-Ka>tyU8tx4L44<IYZx%h0iUrslQ7wy%57wkSxRpku=(i~6U|Ia
zPSZ3Zuq<tDNqKFwWo3id?Uqt86iWah2QV4G>E{trRiH#hMvA%~8%avS1$O3_mZkyr
z<w%AkU?BPHm(-mAauZ+#fy#_3eqvf08yj01fFhLo44yjx(gMW`*_7(|yf^infI!sq
z7PL0SN@OU+vx~#~hY(X09<%7y=+%FEt*Hqzfti_Wdwc)7CcK}#jN_Q>0I6I{S~|zn
zok4-0BqA-%P+q>jmK^zChWxF8fdTg?KuZLN0*d9H*HUaPK}8+N@Ew2*KR!1X(gJAe
z>`;1Lo%YN|2r;OJcYH&BxV^yD3C708UiQ4w&;2(M9*X(>^$8$Yb=19D*Ok&-1>F~n
ztgM=<s^ZK4;o`6C?=$az>OyDyY4!d+eZ?B6;i90T+S=F%JXFOTU@W(KlLH<hM1d15
z8HjOlc_}?E>T!*QkFRN9aJacSwe$gxh^WC~Rf3c>1>gy;_d`|H)wFbUpzVk4U6rhX
z!DEL%YKL=`1Aj6g{eeV(xoOXvwTJ|8v@IStrz`D#fOEG6IDj9<Xt;$11@DGZ1Od&=
z{c`^WU_>SUF)3F{<}bINW(8nwRLk`rtNrTf(+?R*Nl7WGZ-5}y9Zu}8k^Fu8qd(|h
zN|wj~)pc;4!Po0h{Dh>WJ5T_fUjdB>fSh`D@|SgJaF1Q2<?~)_cDA{a5=LO>2W#uI
z^YeuYbJSZmAU<aNz5AOpz%f|3XESVphg2Bw?B3Yfu|gEAtV;ZFcTXz%`of=gCqTa%
zV0{BU9hsc`42%_$Z&13Wf>Grx3=B-A#b7~x{;C5%SP=<_iIjo@8c?geyqOkH!N5+P
z8k^Z@TKT#-l2@OkR8`Bfv;C8(`cPzoLqi2UuFC+;4D1mI<+Y~WQF~SgpqT+qfUcn-
z8&T2`Ab<VsMn6Y@R&>**yysTq<Kt=NW1C!0IwmIYATbIo%_40Mz+(eF6@b_2{7)n9
zuDpR)x~pMjVNo<N@LH(*xBy6`jMUVfwYjS+D=IoVy;sOI)YQ0uDQRP~u#*dPB{nwJ
z{pyew3kmW8)X1dxcyOkq{0=@xDP3QII%j2NITSjz`M{tOur7d@6HxJnQiU7s76qU-
z&|g@GjsQ^z3orKd6?n=sft^vt0RMCggewRH_nlHQmQ}y+s>TFX^SKDP-iJP!>OkYR
z29tU$&P03SrKrp;EHXt`>_1ppy^)pW_qyjV)peKz9HiomjL}Er-#@)<Z1w@e01yY~
z=H>ubcqI0PIcUvrc6L5s(`oUj&(5Y@&IP>YLD-SU8+xRrrKQu;Q_y*{*nmPX()w@3
zbM%LRa`&$fg@BA~2=p4=Y>`842lKU~%Ck0?ZC~N8_GiZ*aY&f%fo4KJz)+xgAx9X!
zU6l+#n{D{aw7dph4xjI^wAc+uxS;x;QQBw~*lKlMyX*xAWo2hqKV1Xnbh^IQO}igR
zvCBk~eQeE0Oq>I!GG}N4<ZQ4m;Xi2MB73uwn+8FkvjjUFrr8)U)d3+8sEtk9_S)K5
z%N9PMQD$a#9F%5K$6<I=t7^JF1H@h=c;AqaH~RXdtcXsi3XDzQK$`#f_w7xW&JW+X
zWUrQb?es*F1DjQQ^csRd4<g8BGqbRa)&fE#I0+CWN-d9BRsrc<J{E%u@9PWe?(W{A
zAG9<+GLoK~TWi$rYcC3P82c+s^ViN*U=DxJ&AEXSU-%8m0E|Bc>=yX#hFJsz+?JZY
zEW8Q>+)M-n|4T=-%%Wp(vkjVDu^+I1F)%U3$Yz0`MZ6#N;1SOeix`vNWaA)x!{Ee5
z1bo<B<+P<TW4PsH!=6sS4<!Xx<<9R5SP#g&fEr$XyA!yAHloN02?;Oh>G?jc{RU=!
zy3`QFX1|ud3-X3WMy4%xiJt<agGW=QBP~tG$Y?cFX1wfmzB5i=HM}5#{g&-2gSrOL
zKPM(9!8Fy%fT&~l`SS(nlO3%E&22-2gZh;g=zNkE7CC_U<LfKo<@E@R5+Jim>8yet
zAt8sAHlW`oCMI>kNWKvC`$>o%jR`dMcmR4Q1mTBX00KJb!tvJCQ&o)$43yE;B{u9t
z#3W0OkH0=}tpiO(;L?(jku3mHEDUsfbwwW~Tc}x_$YF|@_*lIw6G5V*sX6t?nvsz~
zgOmT@+5ot}eLr3<)B^shg@pyUHI0s25rF>-`Mk*nZCH7Qg>Vq)785{c5)TdzUOjn9
z@Zv?nCFanjrIl5QLGvxp?*rWNu`xP@_>om*+5j{%A#HvA<_9gn`b9-XP5>`<;VcC`
zYJ(QP9$!OZ*4BHVVe4Nj7u0sKH$AHA$H1hgtgNiB?+G}_3qOF(2A!KcJUoE5+v3tq
zfX0+O&z$zkF{inE&eY88M|3n*Pyo1Hf}bsS_Vz%xZmsgarYPW);o#r|of=y%vt9OQ
zqGDn?%{WJEy&o>7!CP=~aVIBQ$ch92-S<!+1DMj5FJ~6NgRmhVAoO%^z@zaCsn5uu
z<mGh+C|EzC1hfe-Li!J>D)?*$_j{$SpR5`A`Rhtb4uSkRIdRI!tgj9ify@?a0Sj+$
zx%CO)yZV<v+kx%h)Vv1Q(A>;SI*f1>Xg%QZIzNH)1uhnl{|`u4KyV47@Y2@DH6@}@
zt{F}K6s4o-(zJ*OC9N)WLUyt5C<Go|vH%`jJzd_vUsMB@2N)pGp!F75rS$YN$1Nq$
z8h2SQFE0-o_dsieHo#2A#vGtW0+?dZ1rSauh;KU!KGp&T+Pv=vu&^nDE+H$*ciW@C
z09gtf=^JQE1Bwak^{?>g>&{gN&{GQ<u|Z(M$jAuVxk3Nf{AyHkLc*8xZB=lT_@Ntz
zhX!hDIM1J(TUypRAG`zNrZ`0@EiD!Oa=QKxB$OJq0!IdL7N9+y99^UvsjY&RZy;YM
z2M0nx-2CIKYX?v(8JW_rQD9YMX`&MnW+O-i>oCWkVE&FfpU@}?RDq6sNba?gREdO<
G@BaW+G`m3n

diff --git a/tutorial/figures/nd_spl_1.tikz b/tutorial/figures/nd_spl_1.tikz
deleted file mode 100644
index 15674dfebf..0000000000
--- a/tutorial/figures/nd_spl_1.tikz
+++ /dev/null
@@ -1,16 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}] (0) at (0, -2.5) { \tiny$x=[1, 2, 3]$ \\ \small\textcolor{red}{$\mathcal{S}=x$}};
-		\node [style={nd_blue}] (1) at (-4, -7) {$x=1$};
-		\node [style={nd_red}] (2) at (0, -7) {$x=2$};
-		\node [style={nd_green}] (3) at (4, -7) {$x=3$};
-		\node [style=none] (4) at (0, -9) {$out=3$};
-		\node [style=none] (5) at (4, -9) {$out=4$};
-		\node [style=none] (6) at (-4, -9) {$out=5$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_2.png b/tutorial/figures/nd_spl_2.png
deleted file mode 100644
index f12950d9e5de81091f3ca80c6e6f10b323671911..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 18393
zcmcG$g<Dlm*e<*&>FzEGK}s5=OS&Ya5$Oi$Mx?vDLy(s4?vU<~?(Y2N_rBjb|H0w9
zfVKBtGqYyqnJ4dihbSpXp&}6>K_C!R=}+P+5D1ho_{B$n2Jfi4AytEah<2a8I6@%E
z*#G@PK~mERAP@?Ow7AG;*Yx8IQyta8x&9z3CVHv>CAg!{m~fbt&<y@zp`qD=&bpyZ
zO^LOoI4e#X5)zfo)#d)7t@wOcu*%}1m<8hd0Sr0^sJCvIubA&Bj|<m5g&zHv<xC<?
zFNa42Zbt|aQMw_p(3pz(Kdm7FbiY1Zh>5}c6qS~i&Y3X#^5qL5Az>@0vx`eV>quXp
z$$X_@U|^s)Rg5qN!lV|$T8uAy<-ACa(#GcI=}I#`F0KSsjLAr{p|!QZw*d@GOG^mE
zPnZHLL|4$C0wF>Y1`;11@A+`G|F1hJAt7O6V&W~<;PCM9*x1;}2ukP|5<h4>bR`_G
zm#6y#MvZd4RtpP@gM$MLQ&VpH4RLex%vq(+44m)Y{nuWjLXVS;?Mu6NYg(GN%d?m`
zJ_^<1w{PF97Hbe82DY|Y$;tEc^TBJvFE1~k4_aE<C^CUATM7hnFo^Qv(o%O<*Qd9!
z#l_}!c9k7l)2pkQ$;ktEgJ-w5Ebrgrj5J`JMC05bK_+o=B)Yr1Yin!CKe}QN65gMz
z@RO61`>kZl$jUCw&%?sOadL4%L$0o`S5{VvKbIIt2H7FuR3dc7pL7SI$Hm1F-WGIy
z2o$C`TB@&TZS^`?Zd6xSKRG!GXC)BN_l3s8{q?z|vC+-U%*?^T!PT`PGc&W235bTd
zxj8y|)W*hFVq#)W&f4f`3>=A{);L?lN*!JBBGIF1+={6j`xWgkq2b{;nETF>T3U<!
z{YBN)v2wIg<U*OEIS5Ns0~*=BKT&>)5(;|qKqy#PY{$}hySRdI#i`B@W`4t?lcn=I
zng|O+(nBSn?npF~0|Ek`&il!^ZC7imsxa%ANPH;<THG!nkbnRFo#j;7`4z`^`4#(x
zhoe+YfxQg|7l??;s;VAWdojT*BoEwnh)l3%9E)fFy6F@%pSA|Et5jLA$;q?A!^1f(
zXJKJs5tb6k@p)j7iI9G7tgqXhZ}fVz+NUHZgT0$ySb&1u952yXIeLq)3seeI#tqih
z)rEwFY&cB~6X8gZl9IBacsyLai)viJQ1FvA>lC4l!)Ml+AD>2sL?<SCUu=bd8RX?r
zqsSu@fI$%YmbJfpdDq6>T534ft*orvRksZfJ=WpxD^u`6ee7ASHGAqKijkH->}u6I
zT7=}E>god@#@!QE4l5fQGy^$VC1I#d<j`CoK2lL+$F~Q@6iiIuDXc9l_zb%OyfIAh
zz19U-+Zvjie-{_S!NDOeVfcv_s9axPKc1tu??F!e?B9O;_>qy3k(E_xJ`jOOK%lj<
zl9ivIpCG=Em<MJPF8wF?{Ii;xVmc3{mDmHj-J3o*9Eq~hQZfPetL_qf$l03D>q>+D
z=J{rS7gxRzjH!VR0wSWcj0_SwI({9cXkZMtmW~bzdyO45Qu6CxGY%ju<ZkE7gg|=O
zjQTo?WO$(9Mts01rDbJao}RG0d&f)laj~(Uo}S5Y0^lgXqY(Vvg=a&tw6RfFQZg`&
zpPf|)XTNU^pGD8}`Qf_Cs6Sc59aaQGLZY{;OBAz|V-npLnOIPaHV!P<%j2mKRMg|m
zv9^zokL0-wtcYH__woLIN=nMRcY_Qg_V*Xt-~=u%E>2HRmuc670dHqN(9?fXQ>*>;
zi=LPFezHJTMn>khMg{Zx_u|U&wZ4e3qMDlXO-_eY)YOeHb0Y2%pSG<YnF<RFfh-)=
zpYH9g4>x$+o*2(YD#*)w-Cq<`SAPi2eJ?n<x+?f>AiA!O3#B_YHdZo%XhwTDF%gfG
zlQXcG-E^$w`@YJp$QShd^7645Z3-)BQv+{N+BhhP6|L?{lM^F2Ab+z(fMW7_edf;l
zpl%8tc4=|3$wx_DJ<&<dtSbN!0(tlD-RzrBva<MicpnlM+}zyWVingXR##Vp{YUW6
zFDMus930IQNOKxrfk#3?xw^dk5y!gb2fafFj&_k^mPwJZmX?;8*&fgjP>>)r(#gMn
z_f~fvt`EVYuT&_eeCVB+h>=nyL?PlpfGBBed;IJAsam8^WhPC5q1Wb_lAiw2Ve3=)
zWy9b`Z<x>XwFW~1(rLgwG7jq+Mcg137M7JldlIv*R*NeeB)hOsQeM8SpJ1}uc=*oh
ztD@)qh4E6IbxuwW*p${<b4$zLWn~#0=9Br-ao*3@a}mVclH%fa97sl3tF0c~o;7{?
z*}nIISy^kHKj0Uv!YP8mdP3G0{+Qz7;VEVbW^h@jrl;%dawW0opPW~&5we@uvB7Y2
zaXEkg&RVELJ2Nxm=jR7bkD7|g#qI6w_4RSpHW-9}jsO~>rLDcaz0FHX`ech$IAM0S
zPXyHS4myIrxP*j&+eN_Wjdq<?quoDId3kxD4^>sC!1^`)!iQ9P-aDLx12Yv88EIo<
zb8~x}CFlh#%M=s@2yJ*&RJ+q5-k&d)mWMUwQ-Yp%c1QDUeV7d4hb!7+8T|F&2!iv#
z&0XKvc)vH1r=v;3#5CH_>pLEBA5xiT_8hRjzAm4}g*X9mhVI%O&oceP&81yU_|rs1
zQ}Yv5%)Bl7K6WzlDEWVVIUj2oYIlaFr;`{N8NJkP;Rpx_V1>Xcn*5_y>hJ`LX3~s<
zGV?70q_VPdzR}TCL`1|E6$J&Qw6t`7KXf$FbS%BNynKga&<#i+P-g3U)EIajpJfCw
zu&`8ARbgz8=lx>7AhtU_0mbFHezMYhxjT+uhr0pgC(O#p`I9d25}DpWPehr6k8iP~
zLwG(g7`42-9IQ=OU2YZxZiEpC?9I)MT|46=(6B!P1Cf?Oy`gbfE5xOwnj0DrmXPeb
zMn>K<Fd!ukZy+mmw8Tb7vpOAoHq@q6z(9b-#*PC<$dGuF+!uN$VQ+8GusaZO35l(H
zex8S)UwdBt3O?J{4O#>P0x=>M2=GeJ$T&PW2(Xs$fgmN*nQ;(pe%C>e+B-N9bUhRP
z|L>*(nqgqz)4X~xIXDV-h@<$R3*(KRkS;Efr@ynaC-y~e1609#R5Uaa21d0tHD^`z
zU=GY0K#lBu=OYg?fbz5&V*z*MR#!Wmt#?8b(6h2e>!;C_l$3OJb?uC%&E4l_W$C-R
z-VMgl!MVj^d*Y1ngUNk0Go$xa4n!s1IXYUNnCSG-uw8A5Nl19U*han_s<oU$fbAMe
zVC1%5j893qf4H_>l`@3Cqfd4LV~K(vR+!%2-kIs?fS{lX%_{%%qZ0Px<Ks_?S3JF=
zshq!McW%J;q^Moj)YihO@?%M!-b1(GVxkXxyNIJx3>M#5s<*XWYg;K;M2os+{Qdhk
zE-o&i4<kMOXAO<ZUX$65Ax%#xBuy0H4s@`FpGWxIp6K3=$desvl>GX|I>i7EEie{t
z`w{Z6b*}qs!cbvQz#cI$FhG2pnwo}&hECwK&otX72M6D=v&WsgfD_W(%s)<hD{pLE
z0Fm6k6^6PDFkq0SfA>y4^CK?@M@@G2I<UDbVV@j7w_nVbX~)FGfV0Hsc~==0HvCID
zPe)f*$ny?^h-h(g@`Lpv2Rl1^Tk0A+P?FFD1#2*}2WJ7z&5sw`!@DCX)K+3W=!l3R
zH#g3A!pTwwIH`0%(hXDu=Y+2>&~R84!wJ|#=V^m!SbzS|2T#(o-uVMAMSj7So|)Oi
z9*-@+3#@Y2-@ldp@Rb;|-%L%BcMR3q;ei|li&KRcI*91%l3vo&BCvqAuz7e=x66_U
zmSlpS^vUuR&t%{f*t@ux+Giu?OMPHxhx>z=zXk*3e|C2E{QMl6sI&|<J^_l&=X(?d
z!cWnOsVVF_%4aChDuvJKpw;8{j5MzdHC+JN%G$5`!{2Gx)KuT&xE_h<tE=yw-z;Ac
zz@VXieo$@3L*^W;F3hal@F5}Dg>Rw<4bBWIP0=xybT;<(%uG#94Yel}!C}D#D$B#;
z5om^%H_6=SJUkF&WC$cW0d98IU|S};0{snYm!)_*uh#<*mfFg)JvuM~6h3|uzst$`
zq>~}#Cz%8Hsl%N&4i3KQB+S$sC=rstL<MnoJVD!-tix~+jZRP3l$M6S>S}1fU?HLq
zLT7%2+U&n<e_b`Rg@<{wKEd`;Hl@9TFc}>q1i0;=XyfkJYD1BDe8?yeDr;aF)qQiR
zUeG59`ACnJ;OlJQiWK~i@jL3Qeb?acGlhJ}G7Cne)=@^tySlqoRaE@_{q6Q!^I@M}
z_#3_>4h;B?rgf70K;9K+YQKT=OXGgrv!0-;G*?BR+yBmLipI(YB^3#Q2pdq$*P+J8
zL*(UGOJCpo6t%arqi12+)d<4y6}b~JGNOiLx3-e@vwdJ^v$RBkSoNdnJP5htsH%1+
zzXllfS5D;J^ZU2A``FpB`aC{$`mwXFot>T8IXmB+ovkan)Z6$i)priYWjhWTiop=D
zLDMt%KY6}{PZDx+R+?e*xLq8|;^SxMK#isU)3~J%MI&I%uCB&P{If}IC&jsTcR4OZ
zC!bp5dj3`LNOgP^PBzguncy#tq3gOZt0A<3y*NyuUtOIbUs4Rz3i6P0v9BZyyNRdQ
z!UWXD=KU`{h_JYLPb`gWw)_7W;J;H-)L0>yn3$f)0aKHZQ2$@_tZo-BbLJdp=hO|}
zt#jyPLTEN?CwZ4}$Q_AHx-1_KTG%h+R8@q%1d=}z=I2AC2P+hF+#nJYz*nNBqr03(
z&u8q?>%L{g!o~(>@cu7mMBx6O0mMM)HN2p}5EWHZ8qxWhVP_}M*z_{z^`xf8fQU#_
z6gtpQQy!JegR8J4)R3Ug6g@Dv#f2OXZ|CG>%tI)exx>Ri(8$8V{o%?S1Q>e!49ssH
zZ+{GYQqn`ax&~6N*@(r%dtLdkjV~>|e)Pq_02u4eaiJgAhkhZ5tn4tz_!skRp}Bl~
zd@TBH0r$k7;FOLl(Z{E-o8sZ(c7|HZ0c8n%Fd#ZVtv?CD0^byP$;1Q%9p9+ma1eo+
zpuWkn|IcNmK*;^|OH)%5K_eUjadB}0j{_nsU~q)|p!<G;t^WI0sgvZAZYX;2n})_5
zFh;Ioe%P$|MEH0tdOFI==Rel2DG{pe{&fM9@=Nc@mz`CQ_2k)m>u1f6AKhDnafa_9
z8tW+G_#o(+$dihrm49GUqy#=R6y#{NReL`0$`O3ZlE!5XY{$dI>}0sE6b=%cWajxB
zBm#XU98PX-{RX>#QGa5;#d9~fUDA?Qf1&V#%0s@R`rlyS>(>t;7$E<LqY~(Td$a&E
z!$`1>@*csABQ+#s5bWZ^?HrMWvXqn*K?BxX)?gZhVDYctzU7ydF)<svh{OES%Ym30
z{1?htTU%peV?VBa98qEkGz8AoPem^{#B@Knpoj>0Ny)(9zYjP2qkdW=3xVi-XJ-dk
zl*rIf{{viBr4H!co}K{FoKn43J_-uq`MNWB$?1b2q(5OeXSXVU!SP4>`PITg3n)+m
z0{U51yc9XT20KFo1Bx{UKM@|-u?|t+PjB129_w;*yOx*JCG!xMNNj|aIVdPPW@fHI
zun63&F0S2viEy8n-lT_zhselC;Iiwrx~s{{AA@z>xDHO1%wsEDetPmm=?)DI{qE#M
zbH<1Zy-x}vvDC!G#KlD|tdO^qlpvN=*3@ipzqUX}M~4*&uqM(5)-)|SxuKy!Tv8GX
z0aoIFesm%e{3@YvDur{V_JNz2nwqNe%C9A&s94d^Fb_IYR%ZM7Q77I-P^tJca1GmE
z9vFFf8!z8@0h<aDwze)ilY6uW;XVmLU_xRd*xaFkf$we1Oiag{o2nqUK}5vo{p5-%
zcO#7P?Q&-ngyrqeH`<btl1Zqsz>5ZMeOp`GPl-+o1VLda<jA2R8Q|=L7>I1m_?so^
zN7ui=x1FB;EdDK=;*+qjZ*FdGXsC?0x3}$t32?dO<ws*<vG_8W4Um28vVGyiy}Sf6
z6iiFGzOVw9@8aSD__7{uZipIv97GY6x)5O_qfM~>2(Zv$Hy=KH0Hgo<g|Ksjh(&K8
z@|V}HSHXjrIL+mBHAB#AacW9cOpF@rvw>n72CUoDUDb~tKT=bP3>2H>41{IRK-8*m
z+ku<Ls=~tl;R6H$;#Z^oNK|z6e(6C3|LDOjkUd~zV9;xH=p7#iS&0m<{SSUnOi(b~
z?CZ#ZhQPxCo<!@)Lp6GeTx4)?gZDEZq+@i{dbacn@cLWgTYzBD(a{MCf>g~V$Poe8
z?6-QEgT4K~&o#Q)Q~O~1fTIHP87)^ZhVb+To?tG~v9T&@YTHIx97If<oYx?Ln5)pQ
z`1Pyu&mUD)RYzy%S+JawlV58nu|iNtbLl})JJK-!_pfk{5?CzI*H<GW@XSZY$GSQ?
zg$fxK1_mAd`C}kKkef>dd~OANQjimX?u&VN0I@0u2glj4iYP{aWS+69DLxJkP#%54
zY;0^mHZsx{mX@$X#8J9|b0Qf|VEFZGZh3j6WoJoWUtdWHLvqefZlw;_iOES7J-u>}
zP3ZYTFC^r1clNJ~s1=A&S(!X|V$C;C2ptr7%yy&=2Z|lOi4b7%g<6eup3OQ?n4o~)
z?W1X`^Q;73w1Aj~-O5DgnFqYk`7aPm2QMhVizm>AnANTqn&592BE7*21V*D2>_a+u
z8=ci|hK@D+Cp-uuAaBa&Vc*o;0S~I8qXSo}!xzs7bc0CHumM_bfH-3r21a8U3P#Hl
z=vfbg^-xO#;V|G}IU=IyoFkx^ox{-^*!cP}wn1RDT7XN$2F8>Ew@79C^1{3+ze5JM
zAmFf?g3i~#_<CS`2th*^BIulm-oV+<k5LD_ec}skf(&#Rgf+VtPN~BSjOh>crltXc
z)L?6{E@J>5t4J8?779fNkpQ$rpf^zO=txlVg<`t#gFe9pEvZ0DTBQyF(6S5eP0c(k
zQiCaIxd&SEgO(5!oe%`p>=`<x4qY&24D_2CO&GW*QdT<}e{c(Owr@KWj7BaZidhu|
z=?*L$O?8K_x~(vj58Rt_aT0>R2blE0Fs{qU`9hVQ2t##uB=CSm(Y>31LxIuQfI~5J
z`X`0Y3PvFXqoj~)b$~7kLC<mI8vk9+g3BM|pTXq}I(X_cBP4=1<qz<z*>K)+pfk00
zFk5e)|E`2K;nB^WHK7CjetQo_k^Ft|g9RfzCzEq!(@?JegpZIE!+87dT`^2I-=3zP
z_iE6xPM@~p4i6M0zktTc$q7U>z~?I{D7fcj{y*pK`Fb{KU$Zn1Ci|-8>FJidjc<0r
z9t|QaY69u5a(8#{;=tkF`|hr+90NRk;8c<~A74cr@9kypZg2ZM_VJCzL`TQR#$)9g
z+2gZ@=JN9L*4wN^Mkxk|g+W1h#=fvBNiPh{r!Po~i4~QW2A{i#dFl2wPmgB_w)td9
ze5RI9<FoD!ef?8Y15&mv$sk)sNkdZrw5BW_6<la8P-)8J)cQTW5_CN<5FJyVU-W21
zLW{l=!Xeo_!P%Ohzl^zlS^9g%KzAu-uDsKa{+7x<=1^41lnz-|mW-591xy$mzWx3E
z^XdUnjJM#(0yQTn$jr=424P)V5RuZC^7w_9*V*A08VZ9uEYr?cm(xbM$+Yb#a{idE
zlS^a|@*oP1>F?pTHCteT&ehR*is|TRm?szxQ7x3q;Iw&qD{rmq<_34e|BjJ~;r(6o
z(+4iv3%`K;o^heq7PFk+At8uGebaMu)CjpbITPqMUYM|rF1IJWj=Oo-8%2?6>pT;E
zecz7gNp;N?+N!e{ha81ejV4u2V>W&B^NWh+pvy@Z{W-X})Ya7Xfqr{<B@&6|cR78!
zp6e_fv64MRR5h7jl>4JjjaiV-YiIRE+RaeU&|%|uvgtW6D0-QC<>hyLiLcPKaf2cv
zo!mA$`bTYjtDU_AuIV^J>Rq+9GZW({EA7PU+8V7c<C&b6>evXd&Vuv*R};<Fw}s!&
zx{R;x-8EbbHIAiy^m;Obi4<QVR=aj`!TQP~C0PETQg3>?I%7Foxvv=m_V0i7Ra{0N
zO8?2Tm#vP~@`iCabJ)%S>eTk9npR~ERpRTnTvtcNPFUv852%*vn;V*Khy)T7hjSIL
zZf6yBb!Zh4&HWKsJrm!C1@FlnH@;@23pvg&EtxLW>3>;sWjzT4NylDpQy7Vf;KR9k
zn}ysGp1oV#!@@M}Gl}|@!9u)`GVbRZn!nao*IK!(an=er0}YLhje%YVcIJI5TU(WO
zosF`J`o&_kO>P8@{`aMfCv-S_WyIYdEH7=Rw;BA-7aDy}n06p7m{``%@UHl1{yM2R
z1@4seM%vL)^=_Mecbvr8Q5%cIGq>MXTL?ktXV6dUmFnKv9;=AFVR11dsPNz#j;tn9
z@ECisy<v(00l~%LU*Kz$a9W+87eU<HubparXPgn3*aVTY0NG#kR&T+(-1?~7HJ|5E
z7Q#yg1BQfyqbF5M;^(s}A5IRZyRX=ff0eJsMqeXI7O`=@cMT8!k)75mh0*xTa7{;7
zL|Kj0&uv32gVn=b$}UHkg@AN%bpc8x5Wfj+;V{vh29NiYC@S-~m13-u$0(|ONfkPJ
z8+8FL{SGV!I1=?%3+~5@*Ad#Dro7DS6KHzB%F59AE*{gkr6-hQMtuG5-jplhtTf#x
zfhC7l_h3#pVG)-tIXHCI=Sk64$MSwo<q2$Pf~~=T{qo1e>AT#>$@5ZKkpfn(p)t)i
z{4J?y8;36H?o5>m@K|&_!(|F0*;qfT&Ix@#nk0Zx)qB5A>gM*-+*zToZ}Zi5p{uZv
zR$F@sSX*Eqf%7gc%{KfwN2NH>s4rYerSaks>JMh#Ps?!s^ktpHcZ)*|WO|3j+gr2>
z>GV1tJQ9+UZzLvw)942SuR@P=dA{SG7f2@LBknS<^pA+kE;=`F_&t@h@$nF<Lkn+W
z8X?d7_f`wl#!`wpRduzS?gk&tY-|=Aof7>0ud4F=KoROIeghIZvUZcz0%v<W$@|g(
z>tUDAGjnA^p2Awv=d0a88@PEUur=kn&CX{PKYYk;xjFI6oWynIkK2wP5vyT9HK!xP
zh!>mHXyNJV%lESs1Y={&6?D7H#a`JQkO5ZyT5}+#{QbV#I9{W|_7(G235VwV&J{$a
zh`iaG=IXwCOQWKPJ_%W30<11q9S1DQi`N;3x`?@<h}8aTX0zw*!;jLD_spV!BnaRr
zfvAX5ey?hswe90#Z&diz^!0Ba_w$XPWo2cR*89Xb5~fT1+4@A(Pp^IZn3(OK2FKF>
ztk9kJA``ROmv+m+=NJ6DYoz88pxVGEG>;e1_B>r~votd5o`7Fyl@M2+Hry$N`tU<s
zzZFyz*~1+1Psg)PQ<IbFt+XE?BGC&sXx#~)|NGQ8B(N_EJ!oDbQx4Cqf6}bRese^U
z2pzf2Rjy|S8N$lReZQI94kDAHHO)E`gFttwNV0a5XLTDU9B81OhF46M8y#i8?Hb}p
zjE;_^kG!w<D8&F}A|*9_ZsW~VZI{!~qmSVf1C{@}b@2Er&b8iIY4cFLigoVPE}bm5
zb-!@e*+Q{T|1K<VcY1`%WWwRdEj8>LS`gLNZ<!umca*qqn2`m6F0bwdBBXD~E&rVL
zT!rOFILFXK!76Yxtt9Op^h8;-+ggedS6X_bG^PUls;h^xf|%tpKc@Uw@=81vR{nl7
zl5%{l-=hpBob&d&KS<2V+S;5WwbJ??Ezo_Y=JS7_KvW&$91ZD?k4!7~=LKOsH^l7>
z4U09GZ*Sggde4uoisZLh_#6rO&T=jz@VvJYYY4IzvikZhfFc-l)0fDkovKC5eR_pi
zN4acdVN=a$&>T~R8Jg?GWl|eZs6@|hGOyo8MqRBKKEIpgD0S(u_R;4>4yPJ=FeIe>
za;G4(Su{EhzmBQJf#*rZLfY`NRcR$E6vP)~%F8rsH@rvWC!(~j2PcI5-!2vaF&=CB
zQo+vZPvLxn=0n!>7adf*G#lNqCj&D1oV4ZxAw&^7d_FIuzTMBlVAf1F!+#(8*0JdV
ztP!#&%s_>ejv4j_<{BEpb$aC%mkGT1zW+Kr3nz4@?qNC_A(9kkq?H^%B)gd^;twZm
zwmI>nT<p*%5ZT|FtN59=ZfNy&i^q1StDsA6c$dYAv-Xd*4iYl*7oNIZ!n=vQej1u>
zMh)ApVGhIW($Z>=wF#ONvZH0Kb#Yfs&HJL<mwY{lZ^`7k?@Xo;FE8RmAjrUXQT+Vx
z?T&TIp_d?^EdIF^i8M0U@Z7zUncrTwLBY1`CETUf$2hn_I?b#7UT_K&2-Qx*iHz;9
zl<^bx#{W1TfrkC(Rd#C!EfQ@!oOp~h|34oj{t=V)U<~{D9bMK;Na!_ba32c(r%!V*
zym5iVWd;*SFTiERw+}8A)iyk>2Sz}XX|S?pq9FHH$tE_Ss;J^j?Miy7sH?QCb~jgM
zS4#Ce<AP-e@od$WXFAfxSrTo&vR{XNZG_JlshWl=!r5(iXRaPlg+RS!*$QAj&*PT0
zDHun`zTJKNg&w3IODs68u^w4lS<`^;D0XF}!8ybE;|*#oS;u+T%^tZ(Aa%Hx*K<?*
zj9SN|=kpL_nz)ej%<AgR`pL{+pGcu!e+@_fFBae-acZ24n_Iq~ka@lFYg|2gPMdVk
z6c_WyhB$q#_fW!AG+yE5FMdv|7C(6BJAc%0pgTF?R2n6{w`Wghbx-{BqeF7bU;Cen
zOsLEZr}RR~DKT-hzW1deUa@fy$S3UY{Bi$&<N}QswqKurH`T}<^o9YAnSS8@OpuX*
zGAT^qh1cbCocP)0<#w~1K$l%<uwuLE>B{8P-*jVMM9AOyWe%5J7X9cx{321@Z^jF!
zTXuIe_n2b0_G&c#$UR>lS{<LsV#I4QOh#SzYrm?R+utVu*Z{mkrR#G2=-Oge-Q(LQ
zU5vwl80tgsRpy}sIEb0~;R88O<8i%^WW+|>KwAGr*7Nf-Y@+D*t%`OZ?IxM{nI(my
z{`}TzV%tI2V)}~8mCe^*+XY3Z;&#(fbN;<;FE9R%R_ihMvffz6K>o?ryqZkIY;{NH
zjPysC`Vx{7i{2JEOo!|yqS7g59KArc(|nb21l$g;{3WPb`!?|}E|9`j=AJIcC7{B8
z=Kfmqd)7n7LpFF{KFIihbIoTQ@@hN6i1(%s;yZWxhvy)Og09`5MAuV?#Aoyn6IMha
zF#Sq%o7T6=wbSB49A<MO6bAl-p7Zy=P!N^a^yfV@v*N?3zaBS7Uy=^jVAEq`b1Q^W
zlUf*YBzpIPrIOra$20g@eEn2ZR0<>0I)<;nY&VZJnK&mKVvOX1BEIRxz+yps6K}W_
znzar;zSd{(-<#{O^z`<Qey@&8+Fh;s?&oPV=UVpBkvD*_SteMTsN^@hIa0q<<*a)J
zAC_zWaIY;?6(|DG$j&*MewA?Bzh{@4=B)W<yp4j=PunA;U3-I%Io?SkIGLTB>n~HV
zks-9zY+6w?EP5iSt)g~+o1nx*C9S7EYqhmkG`LkJo4Bd$Xc`Sod2p99rZIWx00qG_
z;%QSP6k5!#ZUKp<f4Zs<pVl#>YQq{Htt8yG@7Kc)h~Dz@F0l0(>GixVe{kb1=X8md
z%x|fo+PIL94O~3&J+4j{$0Hy}A?oYxqePhGjlXt!BZ;xq7jd}R=csDQerj~{Fe5bT
z^rhOlyJA?weXZGxX5--JDv=R^y1u@){#?J0{3mMsM7yD<pNuchw^-$36bM+P<lHOi
zX<u)@{Dg~K^884$bEMPcFeQ3BtVo{O>hrt4k05Y{%d_}?vfn3SRNg9*?BOo+qC-UQ
zl2<*rCVskPK}fgRJz)yn0X9N1EG&Zk1LxMpAGgN)LxGlE=Hx%KrZd&GWVbfU?cVn$
zwh?S7k1DSPZRMHQ;91Bcz2Yvoj%SwoB*irpgTm;fL1Edv*oj!<)$u%Q48PquJ~LBr
z$zBlu-)}U&6_@&`)^0_key<3hXpWjdbn>aCtF&9nN6mFX$b)7*1`a$a5=w7#{w2w-
zgojIcCnp{$IXRF+Qv6znJyKF3@>L<9i|>qi6)8(v;+!zL&#Q%NrCm<~yP^*|XlPUz
z%%=i>i;T#lv9Z`!SNSk_H0>#h5@8_erF0${AFJ)LBa0hAs!ywBBq8ifO$vU+<<a|b
zVX8m!RSPX8UxY}|LDP21R?p_;{70we+L~ss7^P38-4PDIHl(Ag0NMN5ZC8tX+)+c3
z!BOy^;-4&sm%H{fE^o&p4JaWGGTy<&G@^~$lYrgb-8)hQ6Fq5<ONSQYiftCjNG?97
z@;P(y4l}cZZ^p_^rP6o9Q&Lfc=q5bd7k`2lvXB&Qm%3YG#of4#OWkabBZ49tZs+W6
z<c{8ywT<0wq!2>|rO+if41thN#+j=;((CFjCZUW5pS;Co)9|Gqx?Rj8MPpKBica(T
zU_Qo3GQ9<-Cn7|El9H0mCuG>ULKj3JCuh$IQ&ESgQxRbiV#@K2j5mi^4<KSFG-~{^
zLqpeJVrdpZV%_5!!ok%t?#<mPx;0dK)i?6xa&l_w{7`5^vZux#yW!42POGGjXwY>Y
zp>H^lcFS6?{CM8pv$h;wYjKf_WYx#wkQo_<x|}~IF*cRY2D&^_!0VtUXOMtdFgZQB
zq`X+rVML>!Dq`SqWceK11D7?*fZ&FfrmVa!(@jD{5grm9AKfKkt1_vQIExL^Wyu=(
zP!I(FZ>Gi$F4Yr3BtyU0)|__>THQhn=jZLQ_vt}BPj0Uc@|c|Fbk<Q98HqN#f=2dn
zOY>6$L_wk|Wy9|JfHNJ5f5MF8??k8W$UExOy!|s<Hp36wq=ANU;d07+t&O$D*`jkP
zOn)eBW$g^IB1v=easIu!*hcoUTJ;wjwKp-DmM@*s^fk^aY<790KQ4d_g1y801Q|7&
z5(j+8hv-Yg_)hNr!h%900u!#z_{d3ZEiHslUDC&MuT_z?Zqlo^wyGhS{xQ;%lli$p
zTdwj|3u8;SrzaPvZ++cwnUg<sb8&G6HqxjQL6nq~SeIgkQEeO?keZshQ&={QvJOy4
z3-j}zuFlJ<Ot71gUAN5g!jiJ=xbeu6BWrnHNGfQagV4#X!bck(OZ`ia5Xx+Yilg+~
z2+E7gKHB|_nE%8m7Iy;8MaD&SK~V9i7^&A@ZBUXCF{qKYPfGf2i2nrE%G|*749ZlR
z;wUa7!`g;7v3Y!GaB%;?$I;4j8kto0SVZPWrl6~!bBnnPR1^vO#>Vv@oiqkUMt-w1
z3KJrLq);`)1cxLv&500Vkp6QaqcR9oB1~H1-#`E)YHu%cy}WsF$^;i*nb1eb$DQuf
zC~>ti2IA}gw7lS`(|8ys|6eAY57c;Au&)h_6YlN^1hr-eEevxCppy2#Myl7r8PkNf
z+xAMC;^Ku9l^{c0UqhPA_?X?==ZrFi<fR|{Ir<6<z7ho1aQKv$R<iA=&>=ZEV7l0B
z*4X}ODqJj#d&~262qi6dT%YvuN%^y$P1~xS07Up-f7gPe>BX=pZJ$XX$a{Q<`o6!H
zt>283Q>d`q@N9a*_nCser@xn7U&er-ZhTHrOFg0)`;E4?b|m?Nl*(KetJSpGrgC0H
zB>Y1Jk&)F`zRvXDK`LG#ze2*lp)J8UJmx*OxcI@dhae;8!7&|AF`Xl!8Le!D6Rh63
zt6AgVQop2pQ1g$-)FrLkOymiwSXLBvLcz&z^JlHQiYX|>hK2?`>6G`MjCITQLnV$^
zK3p@udK*OICgHlNr5FCIsWKeI;%?3=ba45rY$<yPbk|#Xtd7c<H`G!Qg!WGr(aM3;
z@}uGXU(VL5AikiAyrgmJ#r*W1jzvS_w+c~djp5~@-;V~wQ})Ua$pCsZ7HlL9rfPN`
zTfpdz`?TLi<^QU8s!9iQ{%N-|i|=?qMzJ&NgpsP@WQok39U8r#h>-XhbBpe7%1a^u
z_i|3q>mvN0rZmX36L%FWQBwWgCj}@D*DI0?jEda+0IBh>ofy3$G&D4>SLqoEWs+Uo
zqq6Z6q%YRx&kqFB^73Mz`Vh#|-tpMb;BJ$Ca?LB@xC1o?9w+7v{^&DWe*U!cehsMG
z_6rRXN=Xma9)$8sVT#fT(n4(wjs83B5wyyFL_Sg^0{qIhOj$?2PZ^bzID8tHzR-Qh
z3<(TY*y51*;qP#G!PC;rUH&iaA2H|+S^!o9uMUyQ_wAGaKj=SXkSi7l<de*~kf|yT
znjsb+7EeHGfXB-Z`oBtR9Z$qa0M*(+pM$g?*QKJ9Nh$JS)tjI3_P6h_Oc>8`0jPn8
zs*iE!&HMH;zdk%Hn$*>oxKJ{(M`(vVyeV+>#Gap=Ro7FE2x4pP{F>xr-Ho4LkkV`;
zgyTc@G5NJutf3I}P*N=uO?^{0Ox|62P-4M{4h3y_Sdo%H3GppfHMP4kMCtZ)@t|oB
z7n`{Gb*Cde=JMN7#!L4Y_&g=Q8PLe~wGKD2IbWYr#7uVL-k=biaWT0qyt+ja41P%n
zY)Z9AkK||PVtrqhTa^{^({TQw8~*E*UTvP4NDuY9CtC{3HqU$h_cgh74{Iw>x~mVG
zI#({5dvB>#Q=njCKTLVyH4yKkZ~k&bd?zg?X2W1|g{T~%sjf2SO^X+3*tP@{i><0$
zBXBTdB#nkVWG~{S`+OfAHdB-OL*%i!<(evx<eI}I_PA#;mCr(O=5P*G<_GWa&ArO4
zH6jx#L`g$~@%>$gH$y={fOtpe)T6T-7svEw*=l~zo~fek?_%?}Jwl{LW{cY^fq^Wm
z#5#(ZjXA%CupkD!_6JRBV@X|^zkiif35hSJ<@>=jD#{uA#l$Foal(CsPK=J`Y2Unc
z3cB$TAv#yL{bq47dPgshyRo??{wF4{xkWpQV{GYqI728ZVv-OEl5E1|eZzH{jJ+#8
zBsNdJp)R*&?#Xqfn88&$j>VM$64eMi8_l+9KHW)@Ei-92uNMn>^qg31l&K&4e*HFL
zpQP^$Qh0W`B?n1ti1760UWTBD!YlrJ%E3-~oe%f8>`wYvkoAvqjX61)+fwf9E6vmP
zn~lquU4pZ9&M)u^?zW4+^QXHtb`KK%q^61y{ufA?Sr8LNH9y%RNQnUi%?1vBRaNb~
zlC3*tYMQjKqsO%3H};j4e9hJsrzNOjZ?4ZSeICXla^9i_x<f(u-a1`QyrHuR__HRo
zxe8U(<ow16<w9`F@uAqoJcY+vV=w%ATKXl(`}XB}muz=NwSR1JG_y~M1!B;5Wd0K_
zORpz(;k3Q6kr2|cOhpAkrMW3;I&p_@#?t3Sp%+-`H^fzn8({;6-R+MtQ<EgA;*lop
zLDiE~V$>(dJ%3E@24ZX-93O1v5G}r#BbH4r1`Nx4K5Z=gPBQv_&8I&>V=msdlN~H>
zj%(ew_0E&)&?lTwpzw~}6tg-ucQUjZ$x(J0Zp6PYurItu?m6aRgb@_u-a6Ih-z6Qn
zsA#C3Hk~c?iAaMuB2j&jc&z$<t%Y`YkTIN%L{@47ZETanGbiWYaR2fM^Uu32TpS@E
z27uf&`V-gXk1iRwJQrygk&{Eo%lIQNswF$0abPedf+S*c|2xTK@_Y`Nc|MNkQEYD+
zeMPjs%4d~c8@$garX`p*@WsFus7`+1eHciKuXng`cq5s&PoHsULGbZ{>slAo%acTB
zkzntqx44g7V$TzE%U`T_{W&1Qpa5J_Qe9V<`YbbMs~6W#kgU_{psucP!d~n9OHzyS
zY^uZ3(u^Q*(EC+@8UqIk;#52H7E61HJyyT3sbQqIR}gY_bya;KM8!0EWNZFu<P$N!
z=kz{5=Ea9<HyViph7xT&mfpdZ)$EzsuLQI#i~vfO+wu{T-PEQan^2}^4;;DSz?p`5
zc;C7@=MVR4j*je)YAb6kGQ>t42M6t#)ehBJzp_FsdT<Yu{(aN4{j8w|1KHYY|BX<V
zE&S{Es8Kt%gU)1|?#oD$ejMt@R!@iO$ujHX`6HTRr`VQ{o!*6EfrZYpvVT^#lnYG~
zH%FRJboyD3hLf7w7##eeVBXl-%a|D%!9avhJgix1xBB{6temm1@7GU-Zf{m1wU_aj
zhu#llnGKvUWTeL^M8{<bxiz6lw-(o``Am=ipGLY*H_rtGH=JBojc{TnzBN?41^(?E
zln}`MDPt7&);1JGe_p|;MJkft4yuB>5EQD4<g;$r=%Stlp3N&(hlYojMpJTfidR9w
zmb=rwv@v8MpuC=eAdu73e9zHw*cS>02Z4mYt_lhY!fNYFNRP3V7Hv`rW5gbL{iJ+#
ze0ZD8(vCE59=YjbSigXCwyStwGjtKRYh!L^@!wKysePW&i#2LOCYWRR8;cbS0V{nv
z_F^Wrv~ZeJSEnVa0zEg9nYGjS_G5^NYKL2|gz=2pEgIPzWibo{=bQ0Ne2{pX!U?m%
zi@M(lG<8`)*)zXlU9Ah#Y^Q(810Th^ki$U~0Mt{I_wFwA6;c(NVklA2MVkEk86Gk)
zI9QCK1_o_LPS#h;_7GR8F0y^!U3GN*SzX1(?Av_fz@P>ca8yfm8Z8cQV2-Y0Z}_AY
z^g2h5EY((bc4)PX30t)}@q8U|_xyguLm;E_YsN0Du>v@VRswiKgEIOJ(Zhdu=X(ry
zM#|E-|G2$p<z?3uQHcD4iDhoi{JT8&7U%1_5$@gz{W~<+m1=$h7I=nA&f{h2VBHpi
zweICY#We4W&jUmi2}c|X9tq5JEZnnCho=TW49omyjmY49eha(!*=L$zU+8|7!}cFw
z9H_e27LJtFx_aimIqa4MNHD6H50eXg7iVHNg*h>Vj>z__{Z=U5O+xv-#Ky+B!0p(2
zyeb9QVTdo1$E|sh|EtbH6)gVd3w+F{&(ty1#c)R)g<HERQ6$|T`zV_$A>EZ#D`b-!
zsP<<D($a&0nXqz1UFz{$4qKZ}#9ZrNmtR@g*ow=FhhIAqjfA#5IX<u%%t8i+NBdc=
z!mF}Lf6I_SHysy>M$_WrIvXk8+6p>2J(sI*)dxI+4F0Om_wnh{(~FZV!EKi@XPICR
z29^p|Z&7qyU;8rXGGQeSQp<_ut5$v@;_ugzzpx(1GC;MYyrLqLCuUP@gU5I!5H%@F
zfUm*OD2wSbRET)r=l8@T4{r<wovG!b7@JGmXTK9v2{$-dn7qQBQ`*qL!orwEv6%&o
zv)#~(5*8;OntCUb)74f`k?NMZ&LF>OtTgM{vyGGwR)|kZA{MHG@4wK5OXb|b?gzM5
z4sI_YfPnrYM>Iaxe<_6XNfvc)W8M}z6VNIE3j3p%^R1g`Y-wqFT_oA&X=38euHtFA
zUcFPW40;^ds#<oDoTKOWSFK$}H*!a-qDnOqj)w&S7DYv<BSNiKlZcI-(Z@OWYtThY
zX=z*ET<fBISy}x?UVUSQ67jOwy#ttyiC<iTwd?fMm_{|yrK$WkM%!KYD|QwZ7SE#x
zv|E~!K*>jqa{X0PH&VhcUv_Bk06J$kDi@@QNOC8|EHI+fvcFK%(V3bX#k`&`mE<%w
zHs=5OK804djEkR8nX}Ziquoa4C#+dBz(jfSZV%a#xOsA;qBauxb=AnkWWNn%?HcPp
zR3EPOAyIbfX;W!gD<>z7-}wi|OKUf`K^ZPGvk7I6tFM2D68w2a(}gMK<ujabC9JZT
zj{6kz6O%r?tUA#S3=K>>3ZC@)*Vop&RM0km9aAhjK0e>q&r)m~9DP@)R(UCmTree;
zwR(GXv(uil0?O70Z&lPKowJzAisatEdpMZyfDtj-lwa1^IGMkx<Em*r<aX{Z<V2hZ
znW?ErQ#;XV7U~>YcDGnVR30521)+Wui~XsCZmwfbx=evWWwPt*Iq@t_wGxhi(?%2}
zL(k%(1!rtv+M`z8i-=B4MuPX|LvQuuIPU`Cq>74U-;OwEL@jY08}vHF_n>6R=M{01
ztR#wqD?ZUvuh}rIDG={a5DGG$xm=h}w;bFsYbx6&3<xYwTd|IfQLcLY8EryW@9irc
zW|G{2Z}kSBgmJUT%hl)KzvJ=k?R~dKFvw0GDu-GyzkvF|6N_VWZr#rOHRA)37OMO}
zQD}7r8Ds6tCog9Yc4me`*4stYma%Vp&;aSx>OAA)@?y9W9+^uAGmfTAs-mqbr9#K7
zH@0m*dK4}1=0km?{zdwWf=PKzO?*r-rE)}r^Cp8Ngai_u5p#L>qAK9E5_&O&=HCAx
zZ~1NeL6Grop?lzHu5qs1iHU-7VmoH;iqLuLShtb!f|(gqMT>Yhjf`?(?XvoMrswZY
z6Ecs4Fz}?5_*TAcZ^Uy~z%}l!_Vl<;F|(Y6wuB*nk3acfq<rvu`XutWX?wfl#TUE(
z$-|R&+BP_}r6NZGD<3#vMdO((-ft>)v8lRN@T)*%gKyUxK2<bMg2Y2RfC;BKJ(avl
zvZU4lG6J-;eabPnaE3{&*?D^*Mlb*V8A6lI_4P@rDD0T%#QXN+5`2=qYzr%T<#W*N
z*aV>RA++d!W<tKM6U)mao_kk0?daEcHghx_5CGsmI6Ul+y?jKG3Zs5a=YJ@u+gq&t
z?N6R6Q=lcE9PNH0(_VVhc4$>uTK5nVmwvpxh5VUerfYJe?+@#ZYF=+}o)2s>>MQ~p
z+R6C}87v9}aLg3lQ^@Qv`r&Z_Vz0)m?GKFtolR9YEqT^#u7h(XVi-Qa9+;k<4Hl{V
z+}6yB5UgpsDD&V#HvaxJ@Tzn++;m((Q_w1KdenH-ohjh4+U7NA@-?wRSZd<OW4&&p
zgM_C32S~@nX8&ocoB=zVtd8*hmGR>(iGa6GaOCr2MY~ZJU1dr#4cMus(@2;ce6cUz
z7_Z(Nn49nK{Tf)|2eB?vO%qZ1lgBx%h=}{Xipc5MVR%i=RoPNK{>jpqQvna=7LdGy
zCO$Gzr}uus4PJ*gpv0G&_84XK;{}b-*5qVst0y-i9zgJ;Y@<Jc^ll?|Kl*sOfWFGp
zu%l^yQ6`cgK!m-grl!`B4MZairI43mNq0)?eBI24Q<QNoT=Uu0Z*!+XinJC@RR~JA
z|DHmlBYP(bS`Xuw#|}!D&dgm3u*MOxA4!J)Pl?hyjZVqJ@^@16XfWo{4}H9BdcLLA
zPEqZwQC%4-Sv9Yf_y|iXBO{6aDl~RdQ1di$Oo|-<zAyh$Ujd+IjGH=meS;QqwbS>R
zw<{3&fzRCey9s)ggPWU4`(yW<OGU8fAOtcwIjLbQo=iZL8bNYwFyVw<+wfoMbHQ{}
zPe?z;!K&vPf!at6`S<xo+9Ci}G+V8vf&^3brFd&pEt{Y4z)-#p5-Qe|FCM9ci;eE~
z=4P#Zo*A4s0B6(idpHin#9NJ7@P{DKXSBVXL9vjNV}7?%H@V4VY6Df@HtjI7@9}NZ
z#tBjN+=trwv|jIX2>+Mw1q!}@{wyec2hyGxA<M+n_Xa)-lw}3Pa+Kuc<;ls>Fe`9m
z;}!IenjIf>==6Pr43{R^zkOJkoxRbSmp)Go+Nbv#4m^%TQ)rbaZ0c739{TAmzzmk_
zKgSV_cB5P~V7(#Xcm6zIcNH2EBE1oY?^yR3Jn=EShJ)p1#oR)`e*BbY7Hbm|AQS=p
zrd0ocN%GQ8SDvZp0Pcv~#>B`7z%3h1cNf#<m>rBV42sLj^s2rmZXOYWLOYeWOm;+>
zwV~m^lJ@5ws^RLAHk+=+f~j4;3<N|>`+jgZ!J~u@Yc-V@I`6m4q?h1VHU^l8=1qi$
z%kMDVwI}@Mu3B}V7ax)dn=ShepokZjm$-FIN8k>*@No6f@2eYirQ=?&T~ujWm3C{+
z;}OJOUcG}=l6`@f%idVq4c}ja{6{V8j~~6r@uA?xzzGF_(39n?Xxi!5an+-_7(4=?
zvu{>5pU?hL(-rY{)%|40fVH=GmOLaLw_f{Q@>VqHfsN;NeazO>A4|WbvZ@x0pDvO&
zf!EArV`2TozlDw|m)J(={5aXjSZ}*hwLMftVrqtg5Rja_S3rggWcHKH);b1ui#dQf
z)DN>$J;?#O#(Xh8M3@32_p6bv26I-meZ;2~ENZ4v<Qto?5jPFMYjg&2Ek;Psz-|oK
zxiAwZ++v+!P{xzDtZSn!GBq}FEYj=fMHvCG;Q0mqaAI!r;Yb+Ktk5ihMpDlapFym8
z016GgYyFa?M2`c{&rd8iwV76j=(RRE+VIN@U(v(;@#x;GqJf`_jm_Tg(BB@fu=(Z`
z<K(lP)V{K!k!SrWIuhT>_V#F)QR8?F2OHZvrgzS%?A;S%cRRIVT_sRT>RL4;qs(A7
z78WvgXNdN%u}}~>Ik`|-*&?Pp^IyL=M;qvwBN29yfx0WYD@Ankq`SYi)c0xkUe^R@
zlgZdgX>6;av~l+v*4U)WTDP3ie9zu4r>ZD@96UUm#hMhUeg`2Kc7TRnT_ra9YQ$}Q
zUh8rvZO~a(J()Yz>C+}J%jbOb%dVb&9X3Jc+4?bZJ~{c>^5d?2CUfQbEO72%G+v}f
zTs^Mt?El#)cOWt(G+A6T$j};3p|LzJus^)F7-Sie85$=OdficT-|JQ4y5x8WK!-LF
zE>Lkfx?=(~w@tjYcT*;tS|}8+Mq}GPKh|2L`P@0|LejK_l1VhdeLhQd0?f=@2DL?b
z38>{^2k}QEKAFq1`T67m&Q|t5F7JPeBJyBh5ED0>2hD+!i4Oh@IPGFk{RftZQKSMp
zeH#52@*OC@J|DzT`_U-|YAU3IDi;^^roCr+G@$R<t~Gq$-J!t>sj-|>c;OT60kvo;
zbaF&NCx_0@&9!5f{ZU-&n*lm%`uGofdV5ok7H=nQn_X@__MHP|3ds0?xhtMx&p5(!
zf6odkSl~`|m6yBKDgL>WxK9?%-b)ev+==7RCce3Qe@w@tVBdfm+(<g-xJl@beNALk
zc~a&kfR}nmPD^+=knkMITWqpmQ5**hZiEJ_)IDE{Po6r<6Wvm|o11uYwQ0t@gOeSu
z^u?z}^zM5l1-ySKgead!f8aQ%d6g9vB_&01m-oknd_eFAB}`Jpk68G`+*5;NCaKrr
zhloFdu9Q^T6;spFgm$(HXxpWO<w}c-uWta3tZSmG0U;UDp90_u$1|lec^w1QzpyRY
zw?&>HSd+G5Qlk*;hM=jd8#32{Y$JgW4xXo(*)KXeaqnF3k<rmqF0Veo-m<o~^445&
z4*EBL_)mk{M*Q<%vvPJ4Nei<>OAEpSRHJmdlHB|rO{=``?)$F_+hfmi1&K+mLxUqs
z?}mmR*LRxiPCnujYisXm(*7^X`8=*4a6xKh7OhO-NxevqbF`=>QBBk7_*{drjH=|N
z_7iaRNwt$TG_`aR&l4{iv+ukVPP%%Lcb_@NB`MZ4J>ixKi6R0iKB=foJ}z%F#vni-
z@Q(j|F913(?<qfDB|giBc>-?6l3WI#n1q^>Z%zKCj;WV`0233Fwe>N%DQ`ciT)+2-
zTUJ~g%-$7`!&kV7*~ZcEK~<0gqk;d#Kc4Zsr~;jI7>$FdtfeJgG^b_UE9+9QDDQ{&
z<4y*%b)iC9E`Si0mjk?BK}AtTK>^LWzE~$B0kq#4X;no6jNj9MFq9a@R}>spSgOAN
zSC?1hP~03GS2yZ_zYyj^S!#F;aJA)z|NdjVfy$LLU#CU~eJDVuZScW@JWZ4PW?uwA
zq#wM@f*>EjVBG;wUFhY`2(Vn0mA~2rbMYgrfSf*P09e5U1O)5WffSfcMv9pq8{IB<
zgkGPfmX|&ECkp^zb!F-Mo3*Z7z;z(|@NEFFu<Z|C!CydP0G8?YWQADB+cU{!t<@tb
zI@<1PPq|MP@Sp+w4-nBqu<16wMRj158zCbh0g@en-KM9cgis(Ta3R3`<Kv>IHv^#Z
z)zwvqFMza}PZciA&x4{5J^hup5@sMV;3|>uoB@vS9cpLK$cWWyi<>U<$!aSx<m~L9
zSl@6%0}sSEDJcnZ)QOwJpE$_U{`A51%m6Bxk|5x49+04=r1}99ZzrMI<rEqM`s&Cf
zCrSDXP6#S0D&UUv*&@sWH5*0Dt)QWibRMfv1Os^x;dIR5uWP5$=?9iX(CwmUVIjrM
z7_1u@ibcQr4o4f>27E1pcNNG9)!zVOHCUqYOabB#--2^<zZx6U@aLV8g6Y@PZ~#7R
z-|*w@>G06d3&2l^vK318OjqSb@$jjGC+q6^y4+y@UnVjZ0-3$tDlN<d%wi!SApr9N
z6!!Rd9MB7mY$5~#_`87N`J>);ZE=3y)!qFAQQY8Gc6N4fFak<9Gz<)2Xaj&$VOiOK
z)RuSe8g17Eq5V37d}ww7${GhBU&!^$SB|#7uP;>eZ-EbwIxMDTKf}9st?t()mkEG`
z00RMBTurai`dZEe8B%^{D_2*ZO=BaYJU}gVaQF~tXgOQj$@-q2eqee!e!&~?*@4g;
zE&l*)k58Wv!nQp?suEzj)${?k`lkdPiso`jL4JO^fQNH;AgXK<^XS09-XF%6eeTF!
z@guSZA>Ks4urToD9WsCe6~-kn-T@e#!--79{LZC-tGS8fC;WGA4jma;OnJJu7g%^g
zLi2CmdY%B@c^PoxlUdf<ee`v81pq}CubmXE7T`#CKJcZ3q|H7cBm<yvY1(xl*dB0J
zA?ts0#DF&s1iPxXcDtN$bzd<O_uWI5k?l$oE`UN25*C+^T*Ob28H2CgaDxZ~oXKvO
zIF<ciEKNj21V|B1PY(<XEVsDDovV9$3qsa=!|*dal+@G!@O<yGD43=4(nDQa8*q%x
z0kQV~tKjTnk_^Kz{3ZUi*i!4j(lwW8X1bv?oisxwYB|S&o71JKXyyUvL_i%PPTNE$
zO^P|isbs_~-PCgVgD5tLTA7YoPRo`Pu{3ivg&cx(d-R>Y-}~Ip^Zwn}Lmkw8S_r*F
zr&TZnJdiRY9HY)95I^}5wutkZNGJ?WrTXFl>+;z$p!D*Pd!S*Vj(HVL_P0DQFSH@$
zr%TeF5eWvKHDTDnjZ3ZPFnQO8=wl!+Mn@TSPD+f@DJy0v4%e4(YXRTaZJqGhE~7tD
zoS)XO)vCI>s%9zyxx;-A#)Ot1NufaGG&bFrz><OtBLe``>29%DK7<0y5#M^<JO$#l
z=<55;Ib_P>aKZP|cbx+RTVSn{>^vsZ2s9pVK`9ywl9O(DUDHcB?QAG!DW%pNvQa-h
z4d~0Lw@mS^=EtnooVrIx=O>t_OJ{goZb(w)I+$%$HZ(R?_SG!G=6AYu;T)9f<wYff
z=kz1cVZ+xr0=`Leqs=iHwEAG@#6$F8C@HaF6^$Q;VV!hzWBn(g$;UnWyeF_HLTKP`
z!%GWBb6(Q&`04m~Vyjf#+W=2JiA0JcD-{Y*IFR1Uu`!3;UXl<TSL98T?WpSy5hiMU
zJPP{VbqVH_AcR68L0n*W@7p>GCiX9`HDmCoi}Ts|*{a`Pw0(WA^g&3h@NmKA#|Zs>
zPAa2<*HL{&#Y|J14`ju_|0JG6w@ycIYJ#8;ArpNlvcVpdc}1`>htm(d;fQfeZ0xs{
z6}lleGjq*mgZcZj#lqoobF;GS+sibO$d1H|ijMXoFrUZ08$qyZG*;-R=HQJZ9gSd+
zY3=ECZYRizJyXjmd|WP9=Pz~cczJTIL!J^A<`29`v^sl?$z*oRIZEm35{3pBu@<EW
z1!Zz_*<`w7Y7X@LtM?=dHZr=mIez@=Bbg#crUspek~~V>wijLK?|t66r*_W<ygdmj
c2Fsd@(WvKsU~dIT(W{5J$zop{N-J#q56i}=K>z>%

diff --git a/tutorial/figures/nd_spl_2.tikz b/tutorial/figures/nd_spl_2.tikz
deleted file mode 100644
index 866b897c37..0000000000
--- a/tutorial/figures/nd_spl_2.tikz
+++ /dev/null
@@ -1,18 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}, font={\small}] (0) at (0, -2) {\tiny $a=[1, 2, 3]$ \\ \tiny $b=10$ \\ \small \textcolor{red}{$\mathcal{S
-}=a$}};
-		\node [style={nd_blue}] (1) at (-4, -7) {$a=1$ \\ $b=10$};
-		\node [style={nd_red}] (2) at (0, -7) {$a=2$ \\ $b=10$};
-		\node [style={nd_green}] (3) at (4, -7) {$a=3$ \\ $b=10$};
-		\node [style=none] (4) at (0, -9.5) {$out=11$};
-		\node [style=none] (5) at (4, -9.5) {$out=12$};
-		\node [style=none] (6) at (-4, -9.5) {$out=13$};
-		\node [style=none] (7) at (5.5, -3.75) {};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_3.png b/tutorial/figures/nd_spl_3.png
deleted file mode 100644
index e4e95b4e72d63c3216808c8684c42519705372b5..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 26547
zcmYIw1yojDu=Yy{(hbtm4N5mimvl=hoznS&gmg(scS%SKk`mG>-QC>{|Mv6V`@0s)
zwGQW;Ju`de+0VowRQatm8Zr?w1Oh>mm61?|Kwuug4-*nBxT4oPcmV!;{!vE92?9aE
z`TGL{Nl7DwKqw%x5@PD^Y5NNv6zaAFkmCRq!dR0?O4}-l*>58)bgFq!5Ba&&OZ|%<
zUvqL4OY%Q!mc2n9W&B`iD)FPTi}Vla*~2Sntf|?6r@3Hj>uaa2WU92gfuF-d(Wr5~
z@bH$eiqwlUGRQ(Du-zz-D7m-m$iHx_GhW<X9VI6xKY#w5lZb_vH|gP|BN)SespTQ?
zInL}4+qr6UC1*|1ybRQoBdS>R?vt9Dn(ggvy*fKd35lfC)YPP;2y&5(gzjFGs-Pe#
zwesKW5mLDm8FZ?us@hb%{QT&|+ym|H{tC3=r(R;1SfU=}U(^YMB&DUv`5f1K<LEkq
z&{73GPDirEBO@bkGRxGyjn~)LS5#CiFB@@iaL~~e(#R)P@Oe;#n23RA*?FVrsHxL<
z9VmHu-G7JSq2M!P%6zv+PLOMM-igi3%nS<ZYJuJbp_7IQ!%)PcZ$Ks98xgu*9~&DQ
z8gg({Ym{h4lJKd<e|AUy?0C7aLrzXkK=4(_>ynU=Fl4_BOQOQ$Hz~ybW03LmP`W@u
zLITY4-c<R@%F2iCD7=#iEg+J;{gGj-Pb9gB&+;$7@87?xGit=cP=sV<HAQ3UE<_lr
zs8rg{ai1jW$WX_YlvrzO;xpYv6Tb3)lO6Jk41NWs?+!_9g_jH$S0XLKkbvoKYjd-z
zPmxLMdndcXyx2>mI^{*_kdQao+B!N5&0cj`S)Y_&v}RO(=r%Jo{Z>*!{Ne=y0z#+&
z3H%Cj!}oAZl&Cc_GP0?1!>g++ask)U`i>R+1UdcskH$VeJ`xh}x+kHSBw+L4-{g*#
zmX?~Bm{e6&QPc0hee&}Yb9cWELL=tn;yPMtWjp+c8A!^xBptH)_;9z@71`)^lwo3e
z?^&e2`^yim@NN3;#>VGcA&Snx&AX8672X!djXpGDZd_bk8RtKU5IDF1@c#Dp_Qhte
zF$+$I-~ft9(KD#Tz(*2t4l`7Up!>0C3T=;=m>7^37a1Yp4l73t{65Wsb2jPKhi4dM
zBxGc)in8R8cl!F`;^Kn?1Mfe4_)Uu9e~$pR(Z+%^B{_L!xh<g1c8>N?JFtCrmY<Vz
zysPV3zE7aCaylXwhUOm;x5KnNf^)u{QH#yZ&6h7<PEJm)Mj?nnM!d<fP*6Jt1_qj%
zn(~B!`oLXPRb%7ga8fR);QfF~MU|}Uat<DaDwUO$+}zy2%G<BmC|xaDqC?dC6>cF$
zwzi}=I3LW+g7Doa-v@&yWXiNFDOp%p1O?yC`-OBr++A%ArhZLNXE6=`irMRbDon|L
zb+nWz;_IWSsVP6?2{xITo_@K0PQV`tqwg*xWW<6~QE@OLA_Bif4KHe~+3RYt!Z@I$
zq@@0Xm@a+%6_$!<?{`*bWQk4`{V7R_wvLXD@o`)lC_Wlmq}SD<VhZQ;ZU={M{~8G(
zB@$_gB#l_#?Zm_c2ALo`JNx!T3Bhnce0;p1*X2NGXP*35RzZx_)z$a5w#_y(uQQ}Y
zF&DFLgejeI=-!@RUD3VygZSz6^fV+SgxhwuqNUTpd+vv=si~=rfvSoM7B=?k+FG^E
zOjUh7FC^ycS1o1bdgvXu$d@!BFV~yX4GSGQN>BPDs&+hF+`RmJ$)Y<)0he793kxKO
zrKKgEQbv>ajiZJJUh3M_;Q|vCRrUMdVGE6J0=&FHLV6~qtDUjnVfG#qM<b)<z67Ql
z5=60-a7;CJ30-5t&6O1_a`NFPWdhcBU}-isHoCZ84)dXPUr`7<*eh=C7WWg%yAFJ2
z?X0{!cnHvfFz9&&{n7q@lkd~x^tASP10og;Fz8Eu@9T=jMuDdi&HMZN;^Jb>GF>3>
z`R&DCkcS8(WAW$$8gTX5azhc}rSyvx2&AdGd8$;0>X#G>HFodR)YQVl1K4PPA{;T^
zHy-3z_^2H}?3WBwRN9`D7Z(@V44NRH*bG}xNq8$(U|j$Eci)Od+}74+^4bGLl|Sj^
z>}*P}Ne+VurQBb0IbI*HkP5iQ^qM>dzki)<Wn~4y#KL;zv^mfnO&(3cS9J(8oGB6=
z5n*%PezMlBr=!EQ*UZSss9R^p!p3HJ)%NR`sD_3HfU&GB3OzkNef@<^UmV5Lvomou
zABlK?CV_80#X%w3KOHv!;BIVeG`j4$0!bX!x+VmE&CWKAdcG~uESpA6{qn_OZ?bHD
zem++^I*NoZ_9ArUc%=h85sXe+EEG|DETyB9+-3w3b#SPJwB)x2AVN4dq$Qq}ElCGb
z($jDEe`SNWY0yzucV21#JW--m&9`}fbLO-)wBbu~_`9o%Ri}!YfkBoc_a%~-1t}dR
zE<l26vq5Y(+{hAu9i^o<yEAS_i!;;H736+xMiqvqOYcAca}q_$<s*MofVV^jL9?tv
zj|*b%J$I%Gh~F<?JZ{e|)eyCHbzKi;6CNl$JUoD{{aN~L7MpJV<jcd7V2Y*q?+S)2
zm%aO01)QOXSgE>#n`EfJAIFU%<Xjx=Av;MoP?Cv}5xy$6Q1TTI&lND9mK&C_xC@!Y
zFKle=0;SBTSYeFIgE_Z@SuO`@KN%4Kl<+nieF;NDLl%Gf;7~i_6B0%<sVQy#M&dM3
zo`spYlk~F$Wn3>nA`1-+N*l1-{u24BTwGi#UxLk}qM}MQhmj}+|6ax=AlO=8r#_^o
zP6`MR*Vay|&lSxhDF(k;-`#C+-cePb-+E!qHC}Gmid3bDMwtM%6<$_K>RH+H`WV=w
z;S3@9fyPD5olij1Uq*z_AoM$Dy`7!ZTwEISDinWE0fHI<pgrFi`%U_}b8o5D*V6La
z-$h;klm5ypC;)yJCV(7j4&aUTfbz{}0AB1nJ3GMD3EXgF;^Up~E)M{bg)w~s=fY`q
zennWAoSa-3WKAr_^RF<ptgJ%=0})$ay*xZv3|rEk*kNH|YiesvO?{v23iI-=Z*M1s
zfpZ>gY~W#Hegr2nfBKLQy`8}waFI9w55iD>LBX_(ki<mIk005GPlyQ#v!w1rl(TE!
zhfsVgDmuQOjUp9DjE_Gi4@gUUchDUbPQXS>O+Bt(^TTCtG8BhSS5L1nKi|XMJx$P~
z>YGEohpnC6_vq;1i@hlrqs1nVbOAT+*ROY{%9jRHd2XJhFePNbvG6jisHg~lqOY&7
zh=_<-B%jyizGv#|XNZW^voeIl#7p%K0fYQzKu~b@%p!c1l9F;eoX3)x*45Q5(u1QE
z{JY@_A3s*q)$t6o`JQbK9?aF%*3|4D9MCDIr~_jGIt2o}bVc6t>hNH7^-rl=@9=QB
zzNN03T8Gu=t~2Xa->2`z#eJR<AdZ!LXBQU@DAp)sa{t?7aq)mU0(?9?1_lNIqcFd=
zhBHk~Om>Cm03!%M#6YGHhP+NzC>%?OkB4Lx7t5)re94>wxMpT<UY)_h#8e`Lc>H`p
zF%$_85RaE5JI=PYwh$Rv*;lV#jgF3fyR*^Moc!suMby$aK0ZD=TB&2t`Mxs*#Ny#X
z<JQ*J-1Kx$Z!e6fq@*N(1`s8wce-9)ci^O|%6I@gVIY|!6;DBJH~kV*q5=qvBxY#1
zG%~^t&;Srg7#J9|%!LYL@eVBqoA*u^yAy!fMU#u%USAJniexI#-d$h2dwE^$PB78X
zY>a<XEA2oh7k+18;IloFz1cDeM4Ftu+@GnY#{OnLoB@Z3zW&e(5tBf;*b;-6k_y6X
zeM`(^SDGH+bo38s@a$1*0e!gIp9#=Cr+DK(c}DRksMjPhA%SZT_55%_fS8zA3_)2_
zv&)G6`h_1-p^`*cc2hJGb_rLi`^?M?sfbV7nvjl*&VO*Cp$v0<bEBi9bHV`&V)2b+
z2*zfJGvTZEoyi>L$}axCv$L}&Cnwv!*jU(q@gQhRGEGM4=H`ZehpIgQM34+H*eW`V
z7$*APy)+xi62nE7oL7+%WK6KKvtvD^$FvOk8)yf!wRfi*;q|#O?%)YpTH4hp*e_-P
z7+^UpMzU&ZI31*4p3vj=Wr+oJk|IzJ{(YO2xcC}4Cs(81tkO_ZJ0H&L{9mAJH#3G-
z1ZFZ3J|lcKG2u^gwx#ro-D0Q=4lO?~?|gqoO&RN@jQC&NSzld^O-iCqs<g7A5F#ZL
z@^?EDC3H(pO7Tx6=G;aYM@>#XUPS<B=+>99!nQ%Q+lw_18Io=)O3L%|bN6UuF<!vR
zvGTyVBrPFvEFh<dmL~XoXsE)Ofms{U>?K}j7n8~q0@)iG3rOWLUKCuEu6IF6OIyA^
z5s79tMCY;hPazr>FUZeFBNtBl(8>qDf(Y=40*#21o|7}a{H4zWECIpD$fp=g_hU#^
z)$+d1^(n%&NIKGd7@o2|T1PO-#~zT6$i~q=|0oJ?i3DISM%&B(Ok=gx5rIrNutEPq
zIyxws!+3!3u>+@~Q-Yom*6%P9;6+)scrfz+KJ)9E<)qaULBvPYW<OJ!-}#gLS5f`+
zr)gd$)}TMCb{IaV@XX9vP%jy!V8hmHUnfn6C4hBL*_eT7fK$LYIXN}D9uOUsXYydE
zs~eqLOt+Bs^}!Pm&`C-z?;<}wVq!w1qx}Qmw!R8_z%nvc*pW8*psjUxbVqv!9bccU
z;W23*^C9_v47_!qgbiA&Z))-e0e67EKA4z}Cg9e7bC#6@yEoO*myne;a{Wa|hXh~o
zhb5e^{mgaua@+C!&5`fZHH@Zag|CQ0GAxAM<MsVD%$G0wQfBN~wtCuC@aQBE$aEut
zLF=>0+Q<efp6(DVDnTKkva&J{cNYJT7%ar1@DUP}fB7swzvupRr678CA!4CY$L&Rh
zDT>WBL`CKJ*mzC)_STWUe|xW^KrwB}p&NZ<{6760CaVfN2zBK+_UZ_x;}MmW3B`WN
z(I>aSm{2NP`S$8)c$fmI{jZ(coLpTm&(CdK7e$<r;^TiUJX`@Z#Uw$c#)gLnz&5ho
zLhrqAdW{$W<Kt7|v~|ShK(e}ObfAk~9u^*8w~%E!w`AyZ4QXh&mvDHz_i%G_tMSLd
zf;pEDLdvME<@)?4d(>iZyN4VTf`~3ECic)x_coA8OH`xwMC;+YZN=YeZ!)WNV5MyA
z4-na^gvoyCjVTQ(;ja}91_mR`o4X|iS_z5!oBCgIfLn6TE0c)@!T^t=p9h@p{vKq*
zT?Z%`LIF9Hzz;mjEHecCSoB2Is!z1a3^6``-Vfq>?GL@<ZQ|NP7OS)KT^t=ijZbLn
zMx1_U`kTE--yH`BPExYMlPj3VO4r7Q8IqMC7-9j^Mx@`n6D1(m)G9X^JebgzmOj2h
z^zxc+C6|hX#lr&*@9&@G<#v2*ajN0t0~<2Y2|rsK(EdhQD;R@(c~x?I46(Rmr8{~F
zky#hMOs}KzgKx7{52pLsGYC*~@;d@K`N-53Um!@Nub;1jESxp#LNKIafBq*9B<0mc
zbjYWL#+R?K*4KYc69%Dw-sn$F+c_&gEKZe<UY_M*e+_GDT2U7qNt|u1rCq)0*6Xt_
zBO@QcW|-x&C&Ko0fihVZfKE!mhOvK;efT@V?E6->GQFLh-O=9VjTol!|8Qi$j&5{E
z7}N**hFV(K&C%%@p8J?U0BHqCdfIaTTrB1JLfvO1lw^fPaImd(1pg)tp%~ejr+qNX
zQT?W(qCzDdh1<1^^oL#@kj)T{4Z|uESq}V5Ol23Yo*pF2eQ^F~2)LoMEJ;W_9|Sxf
z@Gd_;KllTom^e5NbH@o^5qc!Ep>?Z)u|nfbg+qaRcmxD+pk^auP`)n$CpbaW8c5Pw
zT3Q0FMPgD>xVW-P=hp{eYOSn96B}Qs%03_2p`b&Yoh6C>%|6i6LoY16`0LlFk~S;}
zQGmvQQE##%NcdheF`;O1?CSn>%x`G$<d_tA8S)8iaEO0+cz8iUL0w&4J>1JMkd8=8
zckl1pII~JfU;qch{YWx3HYVV9NK$MH2Z@y8;NkJTzkbyqMu3F^;sz^Q^;=L-5J*U4
zn|}n`^F~F#;4u4>C)=OMg5$<4gYp@ia+L3lj4%law|95L*6Qm&U=@Oz1_UB^8$t+<
zw-6ac#mKTUTL4npq2;Dwk&zb{7eYSw?k+C1e=|*1^(`?8nC=rG5?~;BcnPmQbfJ<7
z)+2oX5E>a-TUp6KPp_<^(%au}z0}hDx|?hii4xv|1%}eunO}&9r%pT=9T^!J@^NpH
zg^DVdRllLWp&?9wa}<Q*+qZ84(<tpHzP-KW<KqLb-`(AP{ig8+p%~F;kV0d=N*?(0
z=TBADYbX@T$M<u#+wyOouVZ0BzhbwEjXnvR5fc;Bu*4SE3sPqzc0$0qT%MdTC8m|3
z<XDL*DJdXb>Feuzo6bMcZ%sr*gp2%pbo5K@Qi$^hng>8ZrUZI>dwMJ^Ex+`xmzFZC
zA4>n{AK67L+a=$=ak-#cPabV-(ELUq*Zc!YDCSOUZ-5CHuc&eY!O84?fqZLIq1xKm
z*r;x>X{z5785+8xJ@lTP5GWHC7FIML9Revnqww!Ec`Yv|2dsdKipon1z4mR}x;fhd
zTN+>G@=*E~b)FguiHVCF8yow;PWbcZPt<4P@GCD_UVzFBteToy+}E#&5Pp9C!IYXR
zJ7a`TAeCdNPbKI+0ow?evnqZ3rjGzf#c6108X6kPbZfCy-I4r({fw4*9}nhuz-jR}
z@6%+Ip;iS&ojlpNfx$tV2RXJ#DPj(@0RR+L)zu!n!QYCDt*os<s-do~jzlF05A&C{
z_}}>pd*LFRc7|Xb9v-H0+s1ZEC6vyhKWP=K{3OR>1TNUZS^Fl_oG^&xT|GOHfr3KR
ze^#TaJt`sscU+j!!bOBquxKdYIBF0XngI+A#0NAGi%JSO!h1s67~{`~-6!Cpsp*DT
zz%x^Ga}=vH=9&g_EHdzJvJ<tDtsYR#5fEsUjwS>A8q|ma^>=ZIiLFgd@$m6Am6a<%
zy~1y*KpBYh3^=R%%OZbaX>~@Iu>wVa4M07RXw$wO72)P~?Tw{*{rWZKG(RDzFtq{r
zu_W^&IR7b@ugYULPl$&H2o}xdJ~=V*-r?bp$!h@Y5|f5V;9i(FE@XKx0#!z~f<S5P
z<HwKQfB%7U(LJD9lCAS`Qn?57Kh>nA&A}1?C}d@2b8Hxc`yN6d**C)NEOxqwNP4oe
z&x4G?Z-}{VvPLcB6Pc5_tP`_X^SQ&Maz6(LgE|{XGJHYgqNAgOL=Z$pyO;E(G6#8}
zFW_VEuyn*S(P-m9MOH`85EQY%ks#!>sQ?mPfFP-<dP^-(1jk0UAmh-`P%JDgP~ZZn
z0F0nlVI+2t^9MLMNR3}DDuwqwAY}qv;>DB~YgKXPZ*FROCof;JxK?Wkie{W5B1<4|
zot~}-B_T62GeBcWhT#c=MlEUp;|9zQlwjlIaWCm&!@`hJJBWf_$^l0|hTDJ!l4j@~
zB8h8iCI$sPyTc$Ur6waF(0ccdgn)qH#f#+3OvAg<@Nkqpay0U(k&*4C)>fbjc*$Km
zR$Q-wk`fPKbqRQ98?VL(5LeLp?quRZlt;=5P(|{+i6S+xSlNYygfgZOKr++Q*9Wqg
zQ<8|REJu-cxcI9tU0B&!hFZqP+5Y~pVpYU@)F5A=tMq*a3t~D2qijuL*V+yPidFRO
z8v_%QnyM<ObGLqx$pZzRhx;3~c|S<j;)Bc?fWv#qcTDFqxnnzEf%oNwQxo6y8$kl-
zAbmotyAaKZ;`bPXS&3uSPwIn<j}K0L&3Tpkd_WmNVJ*;#BrxTM;vI0So5;6?AX^6E
zgtNkErw@?L(b2JUXP|=;U|>Okrhx(Lq3B~yR#sMdx#8b(xONEZ!b?TKmtVdYYyA!o
z&&9>XL3$Jk;4N4^CtnNb0ZK}(`BY|Nt@r_LMWv-6N^#vNB4ZK~G&D77m(gLsHdF+k
z`h-hO`}>rE5_C~<F*XM`L|ILZiGcwN)KSDYeDWCRkLun9vTRR*auUD{+u0f{Hwwk~
z3-t2Sd|Uw8BEcdwl<r`Wl6LW5yK4Fp8K-c6uZwxK{(cFrf6vJQ1pkduv;wV`x;k))
z5P=xlY)27QP_$%0IYGIt{YYZYPAKun+YXc+`>rpL!?JAyV(5!5Sel}fZF@>XS9i7r
z>g6Eah6nVEjm2Ii7y)2n43?0LiTC$m$>CZzj#fVKoCXrZD=*qVr!LAe4F81YF-@i3
zNOlP#{Yz3SQy>qv`bhb|%SQiQZlw|TFierv1k%4EKCO@*a249mcJvMZeA?n1Tkr3q
zA86atLH26yq5?!F3r^pisth&|IAlI1Sg8HSo-szkogPK}Reoe3{<$?)(@P95_*S>C
zXzGXdD$0vr8L@Ro$|diE1oyF;^fA1O=9e6^n%HQl8?p@LDTz)i=zgmCh;BUMgHW)f
z7)5w!pw0nr=(L~eAY;6$gQq`|7nB9s$Hs#<$jbdEuwg@X6Wa`RbC%&(c%ZYA>g<1_
zse+P>EDb5bgKq2u5be3uf3J{dioc?X9mhSlmVGBqc1d0IpAc*bdF#Wal3!AQde~Fo
z?ojK0cfSC4M{weSyWju4yYk=Nia-%URn3ud`8U8qbfN!@{LSyQ#U!Q$n7$WSC?oKn
zE%M>|?yyA}frY3WfF{_`BUa*~dA1$pMLPa(%s`X#znVDz(<CRmN$H*HyODAl1h7wW
zlMEtRj;++<9+_Er^*}vbPN3eOf0oBa-hfiZ9)i_&EWm2cHUC+j2EFetkZJ+gEw2Eq
z_Gk2au#o!US7!Pn92t3fuv)?2)fE4&=AYH1gv*i#EZ_In@?8JakR7Fb+zl!JjC;Np
zTlM#Do&WC6yjET$XiZcDvO)jK*7BcQh_nIQzhx-~!l`ou;coxgULxqUWxA#Y2xs}%
z6zcy>@f>9XdSc-Rc0~2BvoN&$=N5FpS$=0B0B4bP12)d9|Ifxsob*TG>fs>9VsC*E
zwF7@mA<_nXg`edISZ$mKtk&?)6rI5EAvNnDU=v4Tf}0aZ{!^L`HvUR7n}*<g&*~)*
z*!uZD^(ujP*DH&)YW7?9bQqvm{<qKJ1bugJ0+DZBYK#6Z7W1EOt%TVkZ;Ztd9z1o`
zfnd7-qQ;OJ*Z~>DOkqB7w(|Vi|LiUaSSE}(!h=-pufH#-`S*elU>upEtfivF86X$_
z^nY>@fGRn{GraTEKktF_Ouau^FojFFlLQXmCW`P-P_zE`1=IgtfRxoV%%(nKUj7-V
zi=lW!{JHO;9TYSSmBli1@fZIpJOA&cfJ1l$Bj1u_gQv6qJsblbrcxi-dS=zrf%VV(
zQGhcJ1|i?RdxPdt?>Bq#F|h9e7Qo$EmcQ_ovN#zlc$6gDvDGO1ZZq}&`0CF01Lbe(
zlOmwAu`9gzO|1}}lpg}xJI|68HhJHI^CBZ70~0o$yY|3SnH=R(T|)!3FVg`R1Na2s
z(IHrkJjj@n2o2KW`;-9=-m7nbqf|Z`8yQjD{vwLS^6CXG&B{Yv>bPFOFIUlm(D>6c
zQd8%$#Ss}w4wiW{5)&^uU%%$2<p#`%k7c69y3VfQ7BXT`Tc+XmVbYjpV}orh7DiMm
z1NU|v3&Ja)F#2cog^;VllFtLt<1#peKx+%|35!-@Spf5zYHDMpH}KZ@?YDIq83z4)
z0BIxA(ntWs0|&;*_d>ucK!d^i_*l%qz|Nuv4MNCajGOxm5#l7zfv15tY0Pk>CND1s
zLvdz3*^QCO$;lNoi%x1|`@wXg8?<6m8RCD1vL20D)Bth;uz9|bAn~gfCMl`T-S~BA
z6a>?iuIBPfw)g?asJoR2?JbN(%Jg_nGBA=9%s|2fIsib{@o`sBO$OD7IUYMH!EiFG
znQoWs?TlyXTobdkS{uctv_nSgxPOFwa%p`Y-5*y-V-nJLw>hCf)=w~S+Ry1lL<}V*
z5%8{lssrx(<;y6jKn8_IBrL71t_nl%(-IT$Ngp^{DKanAhskKW79z%k^YeXVjD>RY
zzi~Mil~q<cOxfuV4h}{{M&_S-|1x=vf{aXv8kCrr81h8zK%yiggVciU4QlnYah4)h
z+mKYBAbr%iA8H#_II@-wvZfoud2aCpqbC?0?Y6eT{Jgx=Gc&264K8r4+dg>rUxPY$
z!3z`HF<qylhWu4qXH8vHR7+67k0`r14zXuZ1i0&ekWU?*s^4dRZiV8|Q887!pR9r;
zHRSPJ`~TB<)e3E#jtV^<`@^NiItmfr33VRpYJ-JyfiKsO{S3@Z(5sz}3v;aOFDw1{
zY&sR!<cfut=KnhjprJ7VvKra8r=*_st*yA;_1RN|1Ub+q7uxa_e$Dv4M|7?Q{{c;a
z=yGR5NmfNxzpR%=^<2(VMRsNHicP*>j$8<OEGRs?IO$W>VWKCXr&5473L0&IDU41`
zm@eEf+u$P8aB@0#N0B}}yGRzcwo<Alvz>dMwU~M*#CB;ppC03NN_`_4{+KLc--4u?
zrhF<KwFU~FdUdwGM0h*<uYG@s3Vgr;$@1ddtHgNR{Cw)J){qAL{nk$C4C>T>&4V@x
zsTAZ}K-Jf7FSNev&#`|vtQQOLB67y>YBbVFaEQNZWW6JJq(9?d-4L`*Q6J*@oZZmC
z4;(~HY(?%k0kjB9N^0F)lK3iyvsi-`WE=$_$yZVD<+}<A%Gdnu3|JW%-c^}|-l@7#
zYN@4`6c;nHu_;Y&JSHV2`QkqXaQG-X6Y<#f5x#UGyuW35*oiaeDW9*btrn_(%2F<e
zN8&yDK=|Y7SDU_oTLjq}yXo#b95s19zsDJlkAg3SZ{?PEBF-`7zc!TXR7<&UNquA3
z1~Uq1)|0|eqFSfL*xrDH>&ykGH9en2Uzo>N@tqw824e+E(leR4)6>%|sdb>YGU%Mb
z;nL0tU5N50Z7s?>9?I1dew41^<bo>Q&P;2gxOzKa8T=&gJ}J>E|9+}%I-Nh}pYJs2
z6}}3G17|MiLAc}eYiel7ZZ6UG&22nwMUzs#Dh4UP_iE?K=kTe9p?9T4^z-d@rZhs^
zr@b6>7<LOkpbrhT{)3OIY9rn3Hf>EFUz8|a2MP4M%J+bv-^0z{tHlkai-@?+^J29&
z=7ofY>Q}itpbgDepNJZUKeqccYK1;0b}Nswrl~ew>#`h6%U_OXj&Sr<P#D1NX3%_K
ze!OwZev4@97tt&9Y)B>q>T$X~W3Y)&7nO;5EzJqD4n^&lEMNL~v0J-Q@&kkXl}ZJU
z_oY?!)8#>i-VYo69{UQwaspuC%<F$1=ruVWPKV|UU%Np2hn?nXbsFP*j%%&|sGBU4
ze}3cO;$W)Iab<@u*;UTOv^Dp**0^TS9T*rS*FA5jyy1h|u{oT1Mg6*cYu`B6?hQk*
zV<^|vQj6=?y6Cz)Y&V#U?3?C7T6Xr4kqRd+@srC3p4=`4EK@MDASs!D6E2wZzO?|_
z_vauBv>u_ti1AU00-QvH^PTJGE4kzWb}VVj6pMKn5YpNjs%9mDtJ=}=aly?sszoCt
z*beruJFFcC!B2IrPjP#rly7e#S><yl*BNSJEmKcA$HUHBJEfnuuoWo=y<y?tK#lLB
zad$Bk70Vv1&KEmhbV8N0DC~L6Tl!V9e3sbyy8F&MQ!1BFK&en`mAH=VeKoJNiKA21
zq}RaCMF0N1hwoya@E?_tR^Ow=`ja)KvV~O>fp_zj<67F94cp7U)EXOe#>Ve;ekfpG
z9W9Xa_{{qfUk;}62X9&b@b~99Zj82PnXBiepfKu+cmYl_U%{_;4kT_)sVB522PaO!
z2vy3`6{|Uh?#u>kMVVO99wM}~W_`HbrcZX{TxQ5mVo1nv-S$E68r<9HR%P9*zX!`m
zi;;IbMEgE96M1ipX5*07O6Y%C#~v~w`APKg(Lvi?BJjM7c^wJdqd|tX@?|UP9sYHK
zo)2yUF6+W|^!FB5QRPp0TK69GS0Jo>9`0r$Nva$lUh`p#afn(v^j3M4lreiE!o#25
za9FvfBX&C|4U@)^k|<?jP^telB6hFkZBuTy|G`1<-8ISDsm7mCM^J1S?U43XdKCTn
zF|q<ol*l+bTI-u<8rDGr)Ael>BI-M^7>FXxERAK^zI$TgiWPzV-L*P^d;4y}+CFPa
zOzG1Fe5HjQM`ltIp}2TQq`;KBje+bmxXX6#n?5REN4$9iA)o(n!@IN1J5Y}!<U{W8
zAr&H{URCv}R@eM9<u$;?IgVEEo%|50!mqgv4qIba*EQzbGM99gL+yGEZB2fY8*esy
zd#&DbmXB1RY!Mc)mVF={JQIQG#=PGor;sFQK7Y3LO7&yq*VKszP(wpkBWW5Y!}j9J
z^m=R|u+wi&jZJGmV+=L>8){ujNz=8B6Zev2P0h*luRh){nSM8^^1fb^R?PR=p$7tR
zR%ZxpMWs-P$!6wPlsX?*-5mBO+AggyfKeJIT3Xj*qf|YD!_dcD7K|`C<X`~|A>YUO
zX@|c9IIYuP@1jWsemG4HebRe`XWp(RAb5Cx^do?w_ghoGkKLItC|SPZN)<Fsl%Rgl
zeJpGi_VpfPzmNyM@tAo&Tz<8`G^RdZc??@poOZLM+4y`dkN0A!)y?;C-b3lTWc5zD
zC}-*T(P4{8<Cd#KcYAq3-vbyDN#$^hqNar==GDaymi#zNy#3h+j^-Dx+_Cj}!+*g0
zLA8mb+e=SdM$@D4rDogK{O@p8j}KZ33Z-kf(!FxG%#t*pJJNz|7FtZffXZr=BxJYj
z&^*D7nrEl_IPI2i3#zGTsM;qGS)6*CpPPm8)EYCVHLRQyCyc^$5xm%7YWsoeP#a#>
z5nQmIB=;1Tv)eCbxdQFl#jdVR<9*xEx3|n-GYlkXn!LVFm*NSNoVMUnLlZZ`L9hAn
z<Is{JGV(1mQzGkKa(dkrxn)u~jHt1WrQ1|5DBGwyiL)ihadC1+AbCvY$}0iI1sLQX
zP@e_-ttE3gUSTPXp3h;y_%5Ls#&Uo}n~(g~mt@l6@oLGApY-cF@J8uqL{pP>cdt8{
z?t*#{@!{UbAE#j591uZEQDe^FWZqn49RKfx5G8~#2yI(rdGfOtHt5)h>X$()mR!0S
zqEtVMvq9LC2Q<h^%-B+1a)DskWKIcvV7}s;j1X9v8NB-N{yhl^iT#qV_&QDMJRlD#
ze1pQTPeb#TSS4~t!R(mGvxQa1Xx!&jC*zfqp0mPqQQ-oZK4{hCb~Cxr-6GbYl5aHc
zjp?{{0(x=ea<?q{fRJOfAKhGgg$iK8FtM;Yqza0>ri|@hpIrY7e~QVg?wfCtoI%MH
z6gHNemiH@GsI=$!<>*Pe4}xcbT69n#rz^|HXuyIWo4r=i1KGO0qaKPowV1VO4n^U+
zj3eTT-_I>P9pJlBc+1Mk@vnHje{$%3WF?yTkv^M|D-eW6-nG%aLA!N#dD&qTEP#Cw
z_3rT|^YT_D)@4Jkq8@H#^c8t#A<to&PMyZQA5wqaebeY(A~au>rp6B=LGED5{?oca
zzb*36ue+$j3+fyXQsof1ZifZ*2I*mv_^i9?lz!{FIy1fW58b?Vj27N40J0xS_XT(4
zZz1gFi(zzFU;g%j{f_;ma?7-To^FS6t)feW@LO39lX4laHCzCtq|dg7mNqNJ`(lM5
zG3zpg7#U734hbVD>@7YmiO|7(-W|AK*wK<&-wjp@2BoOZpp#Y)V_S#V+5H9V)HE%#
zO~%GUS2m$cnr}0AZS1GhKSgpQpqR4{Z1H!u`ml_bZ3eysQ)1&MV_I*6!UQmlb$;xS
zOKTy9TF>=1P~%@*eu?=ZLmgGWP4L*wMysYeO+MM<?fY<x=GxIEZw<iLDZC{y5e^D{
z=p>an>+I^HZIw?GoPG<;MJoGt$m?b{bgesFAZD|Tec(evcblzrCus=gfp+8E;Gp8_
z_ZSxaAI{xvWvZFyFh(OIe(T(FuhRI*CNlvcGcy{|v6?*Q%&&^IGq+V&QF$pQY2u_d
z_TZE#V<Ga43{|J{c>MR-<Ro^rjdyoc`o@j(H=T~L_*9HH76~310@MY*aA1?>%8w3u
z_9PB#8AJ_5@{bmsDQJ=x;#(iReV_aS(BD?m(Cln&_-q|~2E!~U1mzc3B6QR4fx&OG
z$JI6DmH!kz-Rr1pb`2vT5|j(Nt`}vkVsWE(2nyA)Wz?$A`+ZE*in(KWpvnzuo9maJ
ziCU-}Q}ZvlC+03SY_SW?qlW4Vv#c@I22Ew6LkL~=-bHFvXP!QBEp@Xi=;-h<UY1n2
zNp2ac82cSn3gJyhKLooEEYQ$MRu{}|t$TkBVSI8f{Dy7@l{zP-I25gqjs5aiJ}gEz
zxALUmxbA_O*2bQ?mUb-ly7(S6x{ls6z-R7n;jNSLL3`@M9W?DUEv7HH4)+#FJS<OF
zTz0dnf^sAjZfGp3l==(P&zdd9%bX6cnu6WP+1?4;SDi^L2FZEK^EGV2r!qVlG8`?p
zi35w!xc?cJdBSz?Rgy0hw>lMo!Y!5$fxd~}C7JWat_DxLVIHVbD`iUE3>Z)zit;vI
zt=_DCWs4AS@wsD&9NrtI=KHCC_LXGOcR4AuJgXfCo1|Mvv#iDG#IGLCxG+eky2E-7
zoO``tCXj7&KBL7}4m><u(r!K;x1!(GiLRv64hIcfoosOiV4!tK#I956c7Uj0*bgVw
zwM<K075<Zf=H_0at*Wvzp^yVLMsD&IcgKrXdR#fRaJ#30D+iLPiGz;^lPLaM54wlp
z1@t9FWW3%PTUdZoahGR)ja4}3N*DOy#fTfv3TWP;Xo?s#?I1(4|0eke4l-n9p-3Wi
z-_QQ)Ri%MfG|7^a+`M1K+4@Yb(oW|5*1hGn3D55WlDm^z6>N-Lk92+uOIxYq&qBOW
zd#)otFWF<RwVXd>bg8tOH4M6agLb;K?}L_+fQsOEwD54B6TZ-0ubdOUvCLbaH*frn
zx5)149#$zsch<6VOQN5OUq0&kfGjBZC9HPWS$G>g!&BQ6FQs^FoF3=stJ@tl2gLTa
zOWQeff#Ef$7;-$3;^Go`Y^B^-5$Yr1hPBBK;@ar*-5Dkxkzmb%e)9ck<F(791-AO_
zK+2ad+bY8SL}Ptq9iH3keR0}xn%!Cpz9(DqQoWOLi?c)Us9DW<zxb?X-+X0jZ)$uH
z-*;DVak0B#Si5u1t0M57Q0C)BfaDR(((AD~Ym46gIwGFz8S<BsHmmC|va@+YyiwlU
z*x1~0+urQ=DMzl&4c!*UCN%E4brv&@6}_;d>P~Szq%5NNY<_Cg*nx<F^^;2^$oPv2
z))ofBso)y}vBSe$0k34;p1vL{ON%8B=d<g@xYImMSX6AttsdI`SV_6Vln8XyDoFui
zG&z3Et{crNbcTX#!AbPxuJGA2gtwVo3BzKG&2mjH4|c77&=zwj4>y<36{Ev%&o;y6
zy6v(4f%ZIkx7=Cjq*h;k!3-N*JUnnVff-Z#F>U*^B@gnB3NZKm*m#L)e*^=eQ`(nT
z^x1+^YD;Nej&-lke5ca#bm#V@j#|6%NSj)*u-fVAN4eH&&31?@5KtnkH|;lTH&|#U
z!fkTd^!AauzS*0qvE8#7V412Pfc>OaCq6vi{OUtzk`xAO;fK#@lPf?~=RcDxbkv6z
zN0uo~_5xqd`uU!mO1_rT^`2bc#oeUy+m6Ol2}EPm5Wz!G1kJizJm1E~*`F^vmNwPr
zg*<!$JugxLXRGUL(Gsz`y?1^^#*<A75l5r>g=StXi<E}1d=rkI8@Ai^d|s>1EH`AP
z3Ck3FpV8%UaCzD4salp!1ZN&WylZ4Ox}MUonzJhBNplB-hl@8pSHj~xUse7)d0E5_
z_my>$tUZI2zCejJrz88<f_jBZ;mtwTBRX2zC=#yZt&LQMUVFBTv!4z;Vp5v;knstw
zWQBsyrfcC!Ej~AxxF2KJl7_~%Qj>H~@iDG&@e(2$&Sm7~srKWaW-qM!n}&}$+P}@c
zTtYq-Di}6_&a~L-;nC2<(bC>U8??Be@@G7J0@LeWPdeFhc8=v%Z7C+UcVKp+^276n
zsl772Iv%zSp)1?PYM-nL3QaK0>}s|9z>LUQi#8u;9!;4kT|ut=R?~IsR>)ReeTE$0
z@rtpmV)@!~$Tw8+g|NxGe{D5V>ebkvKT^@;ZNqr_{8CHRrcZyk<i}^f!F(c-{T>+>
zW}0cBNJ@_FzUJl1diRQ}mNW6Y!N5t`(UOn03=_XYM!Cy?eq<waN+s@h?$hxjiKlIc
z>ura(f~{@OGZ%y+2CeN+6upVd^CS)@7xG2}8n4(FPRRX;4rWow@bE6;lRN+c5>rGI
zk<18_YnYnoukKcefAD4W_>#u?tMlED&;gL~rCC5J_Pws4A9*5@JV5&86DD|Kzn1f!
zik0+fjD~&1_P$1zRgv_Fy{p$4^~krdwn*p2UDN^kar0!MmPiKT=+r?{T5N<d;j8k7
z;GiIMlD?^it>y5kJ~>}h(o3%vP~$&k;porVX==6j4GZc8nwND)KGI5FnS3T@y;BeT
z0LI`-?^M2x2Qg*)8cw01p>c6nF55bjbjM*Eq7mKG=`=yl+MBctb)L_Z&;PMn9@MMr
zB$Zq<X!hpoolVTdTJ*h9e_I&6eYS-`5f#guMTe#2s93o_x#npRQlD$_4s?%V{C)@$
zc)U04>WN!NydrPEtpb%3Q1yY)ghL=OqUx(WbrBG{kA7GD5YtwD^Bn~T2L}N=;n(Lt
z1D?9|y{mi0cD=L3f<DGpk*OAF0+{g}S*S0e$g#%O^gEbyJ^ocGlnC`u=y92uMr&}o
zdfU-03lYs7MLtCtA9rV_HZ}9^Ix*C5I4^>(FQgLWcD;r96ubJS*7brI2h3ZdGHvlP
zCzn#DC=R2cHVQ|EbvmSdqIpC#z5@HQVIDXh;SAZnc_Jo7?w1oW^{wWvHhP`>8}#c+
zCd;2Kqdt3}3)Y}<tg13W7-fmDE}zA>vI@~z^(DG+ULP41Y!y6Ev)X#AuiIN^2EAEz
zNz3ui`RPzjzF{gCCP%IMz$h~GYbU|^@<U&5Z>8ooPx0;4uuG$$>-VL>StRCi3N6We
zwA8g3V*VcC`x6}4%Rj%^nQ8bm3In)B0=#dMgdOiIX4#gS6*!M<X{BSC7+6)TZ9Xi5
z>E6`|l9Ys4-7jFad||x0wYcQUR;1o)3|VtYSyxz5M>4rKCzB@;%3}8{s7$*h$A|Fm
zhX7Nl(HyNg*e@XG=cqb{o0}%4Cf>W2?^R^G$wZpC25TS9GsojQIeZX#(FNSviVYH*
ze33RXNJ2S{mSe!g3G5=lEhoR{<E-s{L{?tWbdZAGQ~}yv|MAobz_d;M1|hE}O&yhQ
z#)}wH?#^_Z40o?KOiV%PgR<&Y7^0o3>wSA3`sr__;xf~+sr*n`lakn#v-IKh>dl8S
zGBfH}Z_(|1NxMjOzw)J@*!YV*=Vh!qIx{$4N?f{2<;IiyCy(~&cTycuty?gDJgh7!
zy?1u$3;b@aAJfajmEM5QX1Wvze{WHQ$%WmfpKCvvO|lybDiQLz5<=!%T-}CNb<m<k
z9Jbeatnlw%xd?2Rp1oVxRs$@hd}>FMX>-r*R-e7qMQFeU9kdW#E?nMx|IEpJ5(im^
zs>WW#U<qQB<(Al+j8pOOlvumr@M~gy>{S9?fYw}<cM5?TOHyy?XbTdhm5_|)aQK6I
zdy&n87DuzJt*jVf&U_qot)y96Hkp4ULVX@@HG(vXViQDs`kNl^zhwkzT6^5^_T63B
zIT4eIIIT}7Q{9y1eb7jND7RUf^);(JJX7U(jl^3X5#`hH8;Us0MlS3eKRmPK^|%m?
zB!8DSS*@o8Df-n%{Pq&&*YCE$-))gwb#uo{M6~Qjf(-}|UN|-urtG|C!{(%`GIZw}
zXR6%P%JjM(Q1IM+;k@h=)8-oBSbYZh)N5kE>#{S&_HIeJwWy-#$EjL$_h!O<(}K^i
zI0W;A0!$92sc7n6zPcD|H;ugi;u!66^rpj_of;D2i)BBaeuY8-JmKj;#O0<v^k^p8
zng7Q$wE2f?upSR<$+uc^?%3`}Y#ZD^r$cG{5==e0s;xb}ecx}~-rijj$!pnZs91KK
zCD9f%hlk0*6XuD6k8W687PTBIoh`~8tPT<vzTOL1TE?x*e62e)*nuv0MwS#v>8CW*
z^hayUy+4i%Hms_~)vIecUViJ?HD%{X$}_Znl|idf<+vYy{lc!PQ1E3hThEqxc!EO*
zU7nBJ3BOB4LQ|7UA?u?w>*2}F2DHoil(6N{$xdBny7t$I`~_JJY3J0#Cu%;>@5G0Z
z|41(4JHFRrzi4=RltXnFg^=DV*S+mZ6-<<R5rXcU5tp#{BdZtXNYLx!-DugK+nx~b
zFDVE@^eY@GFtOq3VF)Ii`4!VQxy>VSdFHq18BR2=1AbXgeFts(R%LqJ;f<0!cX`P}
zP+Zl6F7mAE)YQY>pd`qpuW|Ei!;6*kg?CjcKDnp!O4JPZ4UMJI4HMEWG+I0KTGw6K
zeD%0U?C6CRwdkq+(PS{5fKHS$i)wHbjzfn0`OmQSdm=WJ1Us+Do~>a3@Km!uEa?t0
zJ4>AkSsff4R-<x+rO>`hBt{5-XgB*)Vy@!w;Pv2Bz7`*EVAFnf&sVt_3xOyUq=bdl
z2T;Icznp^a{{6eweg=mYQskwd!fO{eudZ(6IHMrnVKQm|d-S?xmnAalyKotW;k?Rt
z_dU%QV(mKmL^I7*bg_G@kL^&+XP<sVveeon8?<<99ASa!qCn~P{oxP_e`7mKO_`D<
zM~%eE<(GjJ?PT)=8$=$fRI^8naemk$5YhI2c!%ImoERxbIA5i_B43xj0rS*Ih`Zk9
z+)@$>i54jKUvwYtPA9U(ZZQwsG!m)9geg0xe#^jeJ6cq3Yg5%J<=hDSQ+Q*^60-zK
z8wx`YCY!yQ5mVEzUhuwU>Up?+`Lk4Af~S6SgS$mmUdK|_O749=MGDONrirD+Y5iT`
zaZinv_gQ4YNT1wT(N3}l3I8V)IaeH}tT5ku_q!dq5)E;2og0t%@=S+k;z`+|GT`g1
zj!dD=$Lr!ujinaz7I~j=4v9+Dk}Ucs0)vHP2imxs6?xsRI%l!wFA*dw*sVbYQioT9
ztQe0v7aVi~JX{Qse&MTARiFb|lXp@U>F9JSoDa3*L<J9CsCjDA20w~K?*92*v`E!@
zCVVx+!M)kL_%u1>O8SMSekrv87Y~1b_VMUT$A!JN>Et-c)uId6HfMkzB4XO@u+xOn
zTNY|QB0+chOe!RCDfF$#UTtBY{`;f$otOOt^WL=QJ`CrXB2fExwNF=>p3zh6$r)R3
zGnz=-jo9z)3=DmoeN8WhXU*lA`nHbdPMCM}WhHMsTXVa`Qytu#)y%O@c4w;TwgPr}
z3B1j+yGgb_qqiG82XlDj(jr8MoaatmTb@e!K5vs-tu$TjG-tQQC9OAwm6or5Bt+Q1
zu$?=teO|<lO7^FRR!#9Infr&1Fc$f(Qh3bU&$n#ktqsElH@wVEi)$MqeLUr}kGH?)
z$W1qbT}ht{y5%pHOtQ?SeNBD3Q0pr2t!wr?Y0$A}q*C+sQG$gOejAgM536r-u?{(~
zD9sV%+fh_9xVvzoqIytUrV(LDNB`D)bdI*WWCP{8wi&uA6+(Oq_bJ&UbF2li3B%s7
zF7!%2!xF*cl)62k=@}Z4bH@|xS46j?Y0I+y{ZHLj!8*??Lm7sQN`+VQb0mfa`folz
z6<_V|%w;Fvcx>@_!ipMxh->~jY%8?pWwFCJS=}FfSXaB<F}vg-Q@*%1RW>p<o+6l3
z^2jb}YC43j27i-|)Uy>4Jx{(bY<{D)yM@m08F~2*Cw^@!%52MwiIE;Z0e5l^nWUuC
zjLqr!dE;W4lN+RBN5o`%-LH;yelO4b*V$aY?_E_X-4<G&go44_j6|iiDvatmZvrdN
zg2X8NVPbSgD*jau1@$zQx}k5fmbqP1OS2YJ1<(h?i{xcqe8?^8cC-8DYg^Jm;}82V
zS+NE?mF~?~GvYx~&mbdipAydMUlhVAIge}=!>H_!)f*G<)zKy(Kt8OI$sX;o?VD2x
zKUzM)h<|P<3p3ub(-VwlzBiB54akR8pglYNjN>BEf=14@b2<3y^psq%Ro~8T^7{Fj
zhtJQLnBMiIEBl`!!n+IBEVZt07Fg1$>9(5RANZooE28bSqQv!{qd!j(oc?i%75wt@
zE7|ADL~3Z?t?QGd!UD61M@704Qk~jk^iq+KBGFQdVg#7~R29kN+@l#~%b1-(UGpX(
zPaM2+TiO(-vL&7o;p5y-dHoZOX$MY}c!L|ta;x9u8kJes=)o3mF*OHcG=F{alW%^~
z1F~#7Um_-ci^4_*A>_9?-h7(mX&Cl0^W3Zs*(zloe(hcJVEVMA7*0O#kyol<MgxUV
zl*D*laATmYx|S53R)wLH?q<F;fywf!`@UhCKko}yj`RMRE=Gq#Q@sr8-Zv4b0s|u>
z7~prJ)lyRfGX^IPP4-zNcg*uKMv?gtQE_pq)}oL*Rd?srRAcCEe^1Xk{%8_qYhg(2
zV}4eiw$_6Zva<bLVw;gfi^p?_l0kQWoQ%udL!JE`_s(A7ee8R?XN8*^t_Lblv$$AE
zDM@A<-fO4JY~#Z}Z}?m%I{<%oWc@*gU0;+$$M0Krp{Zs4w661z0(YfNz=%{ooZ~5Q
z5r6gV9a&m(hE9w$F?+p;rk^ohk}{mN`g}D!cIdd~!LVVlZsQMfH4!{K{K|}pk=v3j
zYdx-s>1~2{=#P}NVoFNoivd*-BRjhcg_R#h=NJ9KtM7FU3?|EB<Q-mN?P(5gwEkFR
zCjYb8v4r+no4D0m20DC}lsrC+rW7h+B;qdf_N5k`7J$S32R-n;JqCiI=flfE%eh(S
z@8xJnop)@R5YcZ#!tY9jeqxLG!hgCl6#0UOyGy2|sciB(xm3&H{58wW!2G+I732_E
zrMM<oJGMNL=;*_uDTejK+Tbr&Q8(m5>y1i9m0a=hiFxN&le#9aZ<sDPx`moj%A~P8
z{&yB2HZ}8uz4h=7@0Y!qYIA(9)cyd&X7@2M!>g48=~1j<whVM$Xhb=NsNi+XZRKKt
zE?}#`^~L+>AlFH^Dq@w3)pE%%mKd4%49|;8OUFmXE$ZVao<sQE4)2fK6o(gD<^!)8
zSCX5&nQ+uf9^ryve;uUy@q9OQb|~=;#pph{7aa1CR+E=DXu;z-(nBesM}++5Z*4(F
z4g(4K{QkmpQJ>sxcQk{9HFf`MlkE`@5c4+8v1yO_MWyQUWeY@Kbs)!&{e@-bO7M1b
zW5+%AHy#lwx6qVb6)g?h-0>#ad5lt6Nc=9fTmEDj7|Zb;c?G%lGnVtUA1o>@f`@E4
ze=pFg><vv9z^N=e43x#m=oa3yZqo=|_VDJ6>rLZ#&_%Ru?knyin+(d`?@D<wC6bx&
zVdFQ=1u^|36_`@26ffMAy34%}&S^LNdJ>-y50eGUq_z5uV+~A81f!C+cc6S$R8l&U
zQ~*uso-e##b8%J;IFbh{<D{*3EWmgt+8&45Hhb!!P~(IEYRNA-dERkJ@HxH9g>wqA
ztt4MT(fL$q$b>@t#Y*m~^yl^^q0OE?If!U^789f6wEv0IEP<ZhTu^iz<dXs|_`3-k
zn<frp{!gau)vwmlwLw3Fle1>2DatzOs`Y<LB^LimC60on;Ojs+NKC@R-fQq--aDFd
zd0}B+1&0*=$hs-yx#Q7XR#M*AIc!_{4mmhWgf1iI01Za$3Vk;1EIK+Wiu<5`Th>;*
z<55Anmkuu`n`}QY`98u!ezy9uf)q4Cqy&<+yEW`7@>(-o@pd@#S8v_DAetfzEItkd
zd>-sM{Joj%sdU4gIyVUGir?&LGk~<_0wM~WDpD@Be(Dw4+2j9KR}}wMS0e2SdZZ?X
z<@mr7qSV-s<NG?C6G88b0*$6-%_8u35z5k8xP;<9pgg7!b<KS}nzX$d`7;U&0Zp+D
z?mm0$MXrInS4wNE8NaK^6*V<oFE$etZF?r-cZ)Nts(jNkwF^s%`!XTNXXdr<n$0)X
z!H17wPT3n8_o=ctbX?x|SNBW3y{~p2n4&x~{nm~ao2IKCWDcm3$IE9MF2bcDBhA4(
zQBP4$sNslmawd?hsbo5kJw>jy_6(+FPI_LP-sH*Rz~iK4>1b<D&p%(d8+MG67KT2V
zfdjPG(B~!t0ir-#y|{R8f*@%a9SIwa^C;rmy{nE|>~K#I#l#c~^Qp8b<l&*RrYRO3
z(&tM65_<pyy(-6dO3wqqaQSXGt|v|Un)eN~ukkd@G4-*PP9fiv=6C+@NLCVO!nJkw
zF4^Ns*qDSK!iVzMw~~^4_fPg=h&)HZ291iP3t?7#yu3|b2|cfl3RQ)T@U)lwTJMS<
z>F-n~J6CU2)}$kdhVOi8Z0PA3{yaVYtgx%nPz8U8M3UyWCk?45LYHUSTF-F%2W}6}
zDu=P7xYpdYcrQ01o0d6IS64Grn&z!1^X-WVkyhy4Y;&W`)icX6DKrS<-a5222ZU%U
z-_^GZ=G_*w6K*@xmvOxXT|%uJP6o*_v5ynQUeO|kX5L%}^O915ZmK^tRA4@Z@jJyh
zqQZURHhB#x`d0I;Zh^I=eJm)v%Lx?q2!&IYgsMK9&yHI%kTZ~A$loN*i%BcxE*$MG
ze#=yY`Bl@H{4wB8Pfvr(bHk7{ld%H%#fuksrUpMeu8(OZ7AISb50WVMZ4Tb&@Y*At
z-E<Jx>L0l7wq6b2oSra2oH-5|=a(M~W`CglzsAn{k?Qx2{|6=EO-WK_l8BJKvNJOx
zd+)unvWY_W%1%~7*?UX&9+}5c_R8j1hws(r`~3sHzxcr!ulwBNx~}`ap4a1UoG)%B
z`t}ya!!BNHP<`YQlF3quF){a<o%wV$0Ml_NkxRSv0>jD4!{eL0^Q|m)!1uPFo4OR#
z##dJQ8DRThIF=`htvBu;PCz$+9_!0*MTSByUS2Kj|E?eeFoVTx8xfvbJ7xBbIXPcz
za-x&keaQ0iRcRW%OC8_hq?*7=d>cE@N+nR%bS~DZ|K*{>r^?Uyf&Am>1Z`$6_rhB?
zqxw5&?~H`0Ye`8sEwttOVt<HzpOWug(o|)YsVFKI6+aFBmCP6D1i@5n`(N{`59G?t
z2kUOSgqeh9q$CWt{~ny5=t^>Q<#rA0m_{!UrY*cvheDMy<MKyqINxz|EquS9$#^`k
zO?F~?r=BL_%IzXDk1`GJ7HUxD0x8{si2<BEl(D_Fu<+eBJ<c1rNkKJNrKfYtdEvb@
zhoh9*!{Ct*-_lrkM|V6~&a{JOYX)0(rz!AC@axjj(zMuA5ha@@yAh`oDWxCqzj+PX
zf7fxI)LfqJm3)-fA;NdzOF<G^;W~3<p+pmTuWf6K{Oa?E|0&odU*55%3DTnxew`I+
zwf$cD%NP1jyMiskEQlnKh_Ur9FWFG(H5Sb(G+SJrM0E{hRjDgitoQb&VLA@Oba)(=
z|GcB)^x8_>ZIdn=Jo~<+)7{gvZf#lC)Nqq3^OvH}@J}i02byY2Z+!$E6+Qg=5E~vQ
z6iftVnZ>zw<F(A(Y<Wj92gvOY-*sk^bg)}ieFGO47r)l>>mB-DM&$YpZaLWY?5^*o
zMp=zgriW-DE$;GLFM|Arhh?s(X)HVEYtGr_byYQ2HO=F6?k$RY{j(F>y4MMs+b$Hq
zktuCH`-MEcNHSWO*w)soK9%n8Ar}rxoW45H!WOJ6GkDx{qWtuJj0}kCe8_ILHSuM`
zDOf({jCch~y<bLUuxbkz4<miH$J@H3DapcmdwRBnD!$hqV&HfM+Sz2W<id6S%(Zu*
zk7L_TPW?WP|KE`NXF|l|n0zz8GkZJ1kcAQrRz0+UW5saZg|}4d`r_&$S2`R7@bFl$
z@2sz9Ksk}`J&%l(lV2;6j@i;FN!rwQ^ZDkPCP`_w7~<G4vf^ElzuZP;1mFNIyWaVI
z{HCF7d1OU~uz#<MOi$_aOZ#C0V%ZsO;e-@ad8<!vCFpGey|jGuZo?7F?h}#0GtZJs
zT%~vF5iId^%#65R_=YF6>axWbhmeh4_hr%C=0O_{wcmZvS;}y@vOR}d<Wb6ZwSnxv
zRk>x>!c;x)5u4U^2mv;i_ZjW0!slpQjL@YWe(u-bO42=XHaMDB*kq@0J26`ot#9*f
zc3_%wcIia)25?eZaC_#21*V1tQe?a=6}~chsn2TWz}XO3g~EiCz;O*ibnlv+zSw|x
z^+TcX%gDWsv9b8B6%$0#I@ho6sTdy=jo~c1Z+DJ>SBX+!s<+3x%y~iMj6onGb(Je}
zFk16=s@!IAodU%#o>6lFJpw|#a<khA!`qW_!7uBH>@1!MT6Q6xP<_w)Gq@>5bk$$U
zD#PmJT~T@ZRP#%ap>`y`*kE`($>Hj-GdwmT?6bvsR#<<XE$f!PkeXHY2cxBZvTrIR
z10A&QDjGQRh~RJ<)#P#i5wnez*=$o|$4G*X+N<djqBr+EM7STmRFy~TEKfwHgIIWF
zXNOfbv>3LNP=7~ax+?D2*ZFA0Y+id}$~LmQulE_5XS=dATJXE!z@#k5QSq6Q>@0km
zZ!bQ~VMrW(+FSID(AC8vD%tWE2E8(0Qe&|#>@#LpynE>N@#Qtl$-?Cr7CAR}r$lj2
zk0|qrdj43k>R+kpBxlRR05vr?7s~yO3AP_(F<Jod;Vqi-UNU_^@O6E!(ec}t_hQ94
z)u6!UGbxQOYPy1|Aw>)DFfIAmU!WtY2w&8tPHWHbN1mlK$o0xK40^h*4_z<JvG6`S
z-Ol3n6iCz9<z8%Z8qUhy?~J5i9-6$Wq$<C^*I&Mg)+O8_HXmazDCyy`Q_CCt^f)J@
z7etIkyws*D%{~`9&nxXHM)etR(*;?zck9V@RNL@&n(06dJNMyW$>cOC^nn-ptbAx!
zdMb+G5!=T4+R$2pR`S$7(qd!vwdM>J$(ulyy!ExUsnv47C5(SdOK+lt+t%R%S||R-
zr_@<qhrN<gD=C6Ur7i4zUsdyR_9sGW8*6sbYQ4$}d{Y0`yMe%BprW$E!Qjp3V&-q7
zPcluHyi@tS`p{{%Z!@9*?2x3iw}RfET?rAq5o7#2JoHGh7<2^dJxc~*9(hWsM_YDj
zq5>4R4D1!hQ+b_ma2@sUvALOYOxaJC=nQ%|NZt>1#9in*M4)e{O_Y$d8nG2)I^Dwr
z@o)0q`n}@1$i5pVjOfeYz3eM>Mk1#lD|`|PuP84!Dc61eMgKt}5GuR}+m_k(Zg^VG
zFV{}Z+Pz;0zsvcP3Qq$7Q2xR`+GFt|i)(RT`;=NW_}SPPuqita1y(DAm_!<5QLcv4
z^LOT~Jv=>^Ni8bBGF`F+pF~j$*-N4RCw4dylPpU~;R4cFYFwoyDkyE6WJj#>V{e6(
zTY4S;6i=D8`sr`N_b0k5#}f*^$`3!cw0s`=Owox>gCedUm492LF!r7^)eb;xK^iYr
ze65b+bK{OCf?TAqmk$%ETd&$WZ#p1>5^=B_h@JE;?+=d`r8r+8`LD~JB1+sZFYH#%
zb4>CcN7_G&Dyu9{{0!Qu(J%ad1Lwz&pNfHA<)!*Sb;%=l9tRXXhyVg!FgVOsaj!O*
zdOI$H0@wE3eWp8(l7Z%M<qYA!@P>_`*H2^nX?65~Pb1B<nwy98T#sWV2uQKDOI@Z0
zH-+q{d1NYnl#Of^#epszZ*nsI8U8yCr0;Q|v@AWpY>JAb!|_;Va3m$|1;-~(c0$fg
zTStMe#NKpGdJUQ15#I*+HHsYhy18S~SpMRflT*aa&X*C&yq|A|!6s`=7RR7bF8W(7
zJ;8e;srT=R(KHKRB=Q!uUEWl;A+<P>$9iq7WUQllFaCS7tmtrVZWZdbFV+>&Iq`rl
z1Ll_g6<l1;tv$k;hwIe6S+BHpIi@{TK#bpc_W0hM?oeN!?J>L8_JdDvi4~AXm(}LI
z<4<Cf4zOU;k|F4avb&S%z`m?{TzDK+JC~=B0X1%KT*fcIMP1(9;x&mO1;t%259^VL
zyE;glEJ0=JS?3vb&(@Y%A#&@PFaK{2Ufxme+I(BlmZh&DB{k&T%<oHfS6d?r3d(Y~
z8jzo5ZkTjNjBe%lEpI7+jE(f2SuS%F6=9v{^D@@PvF8kN5)MI%Y1}E5cM@D$?jBb>
zkHo?XAQ3P!=J(q=KdP*k3zG+tk+KjzL2<#?Pr?y}*Hsr>smXx10TspEHeMk7AnT{f
zh>c}&Qd{uU{PpR^AjVdJSLQ2|&N$yda;<keJ_sv{sXhs!8ei<qdTGPt=%~V>cq-+w
za~sP=|0bJy<%)6FUHc=G7~0yoeX`oRJo>!X$;gzn?f)UwL`7Tn+6M@A=Pg)4%R{gd
z-s}_@;w8#^C;0_YREXnr71@GoJ)yCHGnzqGO$#5CUACyQ+J=I@jWIF!!HAnr{}?H4
z=@QkjfR62-Ojn((u@OyRW^=>I=y&*4R{4R9`WBzpCW&aQf3I@trfWROxIdf^8=V>6
zS~k6P#q*DZx*VLGGYxh#eV0{o{bd6|V~Y<m#j4wWK-U;X%j7U?1VZQ$ePEVeOmb^{
z^B8n6F~}aBXV8@paL6iTW(07mW6Ir<&&r$@QieGr_0sdkUG5|v9Bg+g>MuMHDmD6j
zT(HF15nhEpK(c~F(zerW@M}G~=<g)k8t*Pc4#VK=wyf;Zk!nE>l&gGUFbD10!fPD;
ztdpIGu1TZO;o*d#tQ))_Abjz{YfHGSt)W^5-FOqXcotQ$-428p`|;4^!iK1Y<B*u_
zI=AZBnv4GkDKFiVZB_=Timu3eTb13X?39ioHyV@D%hEU~SKsLT`IGAxr+QW?YwT>D
zqtd*JNa2b0YJ@UH>Sd+-vXcUp4GoR>hv!3&Nt8=Sneab^B(@iPZq0p5K=(WsTm5P~
z0lr$HU1QdrJKB{sub7(1l!v9<O77ewZ8a3Vg-!CY1Ya_SR`UAKAo`@G3nyW8gSRF&
z-Tk0GG}}O5TJj?y3*Tf9^VjBtr)IV?el9;FruR<2UDKiwprD`~2=s3^E~iEoe`i%G
z(iGts;eGn_d}CY_PvHnRtliw)?3Zf;=C50Lmfc-C2Z8BC+|%V4855NQEJQ~~2k@+X
zgT3RKe@o=PBr7VVF3ciEwES_*XL3JpIEojhI1cX{mWAi#MKMa;@L`vky>=Prd+U~j
zS?FQ;ltavpqOR>`()IuQB;mfSChJMpqnwfUQ>NQX@;E+m+sINH<_%UKV+RKVMYesx
z#kiE197`SCs|ixOf{Uu!+5+m&X<AXJPm**@`3G=@ot7poajROa-J|Xn$?G&n!9RPK
z55t%H)BF26^kydhPTgWZGCuX8BMD8@_)b#UteT}MlAGn-pV{a^KQc+?LrNBA#y>GK
z<Ks0nfXP02LNu|E#cEKmtgg?~F|K`zbN!f7*vay#Zwzz>sd3El@nBw^K)VFR+5_*B
zEgZzi=r+haj?QzN$ppWVYZty=@|BW1ZeL(x>NYV)576>oY)Ajp@yiYRG>Wl}h41k1
zsu&}X4JxgUW~PXdsrcn(Ga9xm;@c=-R#ueNzb5;rdDP-^T#2jnQufR%p5`-OLy0C!
zSS=ZakZ#qP9o5p=>CDVzCsF#?h071j8BJC6Okit=M_sww-xMH|trl7gT#^YD7z=y*
z!kLl3G;!S8!E3c!K8Tj)sNnOBMJLX||Fm9}W!bIW`Q(48u+#djhveVO2(qw<h_Knl
z35O+fZ#UHHw6x}7!w=ua*)LDFrud1~<Y4gmD2p<i{&;w_UCahc?H7B<XC!zy>>QrD
z*|@n4NOu$kXPqGsltj|m&qh-@P_7aEj2?+?nDBUoqA+zqwq8$1gI`y!wvYA}W@i35
z6B(dt^7J5mf5uFH=;n*+)g3n%?o-jCf$61!-(^u8w1t`2s@~-Nz;n%IPY{Rb%mdff
zGb#P{SNgov{{#WL0NY6YIr~G@?=yOIKJ;9uCVgaNjgzULjG~*O@^AL@5~q+ln3~3=
ziEIX0Don!~gI7+xxHu_9P$`+ieYOWjn!Bq;90_vQ@$o6!3TpyeCnt|@$MM^rj(G_3
zs6IALZ)A_%xpJ;&p=3{Z!o>V&Wv)}=bJPc`_N`C$`yZ1HqQX?hQoSXOUs_9z^gWki
zPNOp5ZY-;KHBS}MCa!FFqtgGLD?fuNS7S$B(HGxN1`$Q(>dYpi8gDL_S!sX-va+%L
zhkvj?Q@S;2ba_+#(%jsnD+VD#lNff#*DF5mS%<G4hiQrCX0FJOa_VQNyV^l>wL`pA
ze?L?{3Oybg81$k>{ka`y#qaRRIO6U@!%|J45V9ufphU}^!N|(olRcCsog1*CUYp8>
znIW1$^CT1KVTnU>>c!eCw%eYU_8&EKx@0*s21VR<j+^v?vmO+;x3?3Uoc}d(rD^T$
z4ePc&wcn6}7DYe6a;;2gQ?c_4d7h<m@7Ih;drXG+(biPAt!JhB6wzC9EU5Djlb1)j
zd0Q;k{;8gM%BG_qRf0uV$`>Z5f3Jc$lQv3M6EFCrad>3pLqu3EX>_6faC1qr=f%3i
zUgS9pu_|ZmX4>~XOG*3$lEfQ%Wmwf0Fm_@AV!#Ai8Y?*L<$WxPIq~)d(_%KRXp=t9
znVQtrq|Gl>M|{ESYsAwyU2n0%_Nd9Ay65rf;J)qA%%1|9%;YI@%!<bZH&3;LUW4!7
z$BhlPP=u$faEcSw?&;y>T#Kw7=uP)S)^BWf$Gr55(M*%{wygDWw$?JTwceAMf53M;
zE}*n@cWFmnm(~64r{$jhV~5MNPw9!=4Q=pt$=sJsn7lI>f0hdyIV^r2Rx*L-xO|kX
z_k}Y{K9_`Ruhn^vV(PWLFJu~UOB*917@PjY57z41D;q`&9oR9R@m+(K002es_Pqj5
zE%&uDZa0FDeO%>3W0WF61;^(D)7Ao&{_!cK*?Gm)GlLGjA07VCE=k-BmE3i55~1Y#
zEa;>%#7kXxXWGU`;JovN2K&0htkUJaNH_Hsg;FpEH{pM8hQhinH{Caq$Fc9;5Kla*
zQYR4RWxuCw7txpa?%~y`oNr@Z-Ko4DSA1xWe`y%BI*kNF*7L`}JIu|CPICuzLSbU>
z!Y?9k;pQ5DGN=1xfwMO$DK|G3m?!kq_C|b2aRXyAGA_|`R-vK0%gba^27PH3W)|$2
zu)7T9(b%Je!qNoUy*U3Ja`$Pl$;p3ZGZ<4>8^+)q73r0Gwqgr1qG^<XY9=Rc+?5}9
z>^JFI<f6~+wI%&&y6e_X@5To8=!YVU3uz^T%Y&)%H`3B-GX#8_A(B}=J#zC8j2AOv
z%nmrJE4KtP*3R2T%#Zr`wHGR}5ULCtk(YC#1#xqsS3=&TBYUPl%$H?VMOKX+n938#
zqa(JMoAvqqF1%M`qJlaXZifCWaW(=Phy7epwT>mHb5;JAW$FJuP0vi;Hd9NsBBsu<
zIJ<W2<>498M<BmgbT(_mPQHz5WM+EuP~>5=y;Xu7R%m>$wVfEj?}LLxme#`j0Dfol
z)czEH2UNrLTMR8vvxP)E5{PL`A3kLGsG;s1Xz-`PaCpU2HBVufd#JtpVt6|>@<=h@
z^XIaLfT?(?f$WK2o;41-+f{!y)Czy!DHr;^`-X+AFe~dV=41NDj|?#~b4?y`ajBz?
zeXq~=nCj}t!>8xl!xSu%2a-9j1-FTPPrL^22hho~`3qz5tmKn#xdwtScsbJ0#PSOL
zPH`>_y-n4%YuttJe)V}Pu;q8vW)$Y-tpIhUqQ@#|#ppr7S@iJrsLt$R%ka9>`Zaf*
zRD+dhY8=Et-U}`3YURf<GC_LQ>*V3@al>Y%a)hoTRu>#2<#)>gj%Q_GHHo73eJb&a
z3^#BW*vbX#1&|KWHD)b@OsVE(iHx*{H2r$4%)@o^Z*>Ak9*6q{J=Ta8$}oO1GBQ?H
zR#lfTlT%DA{#dRwBfNyT+3s|d;^MSrVhk3Iqj^dh!k+5tpSL7vZ-iJswLRmze*^DI
z7OCiLuqf?~U)bxySFi)Vk}0F%-;$O7b;JRpv;|kkeDJPdzkKrlJ_X;49U%IO;Op7H
zk81yaeN;*uZDV7zG%IOgv69N`aN6sGId#?0NNliECL`U5yu+psYMz*{a}sS(5zWL~
z9}n7v?uFgOSvkMP?83q@sqD(i%I+D2nUN`Scy6EV1|B{EfsVHJY2T6~A6VZ&krTbG
zIwjg0>c#p`CK%-8<rAOixB==CrKOV3_2fza|0pDKMLdiI_%7E{`;T^Zx}Xr##%8A8
z-9b}RGYT7ukOkc~C#xMYbo*85D5<D`=Ch>H9FDqq_pZmm>TpAY5KyjwJI&3*(=$kD
zCWhKt-P{!NyJ!F))Al#u9|902Ky(K^=Le7>;G=xj63^UO$?%H|390eBY|71Df|o?d
z4-?N$*Z`&itlQTG=K!aMYDM^CFD4d{muC@$gdu8vvuk{QybA_==gr+KSL@n3J6AS}
zn~!#Pu@Ec<O_Wic0FSmqHQYr2%;_c>nYpRyD`jPNn{gKY<UHLmz?+PZ_Y7)rcuE7w
z2se=5d6^JlI8mhcMhMm29V(S=Wog;foirS!JA0ob^c;hEq?o2@U~qYXIis$H>U0sz
zfhusOfK(M27?_`*54ajJF|7GWKxf;{*12vWYZ3lWbgF=Bz5AvC^q5#F@jb~vveIpM
z^AhzPfjG5!Cqs{ofMR$UU3}7|NH8}DL|D7H>W{WIJ6l^%B#{1UjM{KLQu9cE{`~pk
zlaLl&Ojl)suvaIDfae;$g7tw1ia=y#Wi48FGg_D;0b0yqHIhRe3ZPlQdWx|<B)Lu$
zEH5t~CzlHxOrVq*my-AYhldAsMup$MC(I5RE(odQSCp2%q>FJ;^1i(Af$5jAG&3`^
z=HjWZuMafN$Vj4eMVf%2r1haZK|nUu=-Ov2-QEHe5+Ued_4M?(t_HUOwrLZvqYtd!
zi$kLg%cq`^0GjtqXA$T$nWJkkj)2_(GRo|u!w3G7bdbw1LI*q{@nB?Op_JuZ41QfJ
z!9r$XW_I`9y(}g`vjX%9V5|rPkOxvy*0;B#mVwzLmpcNWmZ@Jv-_EcD3}GBHGc(`4
zdk3;0iG?blQ1UvU2=VZ0ywI%LZ(taqh7jQoXUexie};tM!OtfOmY^p&6S5)S%RE>i
z!VUn;%+l)WBoY~(<Khas*hwJ2_`m!e3H?cZtqeMXco|F0Iz)0FW*_i%00#|EI6wNU
zgYbX#_?i2buA5s`U?7e*WQ0e0dhomZ2L>2OLZOh46L?G{p$}MU$O$_DVcp(-RUt+$
z7vWDGNN6T`cXoJaXb3{4`fXbCz7%ePs7~nCEUiG7am20<S=iF%ruWY8R+u>uHM3|M
z8XLo@qKUP2N>UP(+&||?hSWoY{j2~&R6}FJzz?&uzK)M5fn{G=2`d3W=zl&v^Exfe
zX!}FRC`wLf4x8q(-miF=T8YOAZZ0lYu3VuM_C9V6yaxS-g8&Tky$BxH^;hipNZ_Lm
zFHEJg8)1*k2dn3@=r($C3kak@NfeC;H9{FM$3TFGGIN;A3CtS6HS_fJ1P=9l7+Vtp
zLC?V8yVv~)fdI;rpPwI3Dit8+Nl8r|9Oeu#0BOP~Y%2pyKl<A5z#7*Lb#yNhsf+Lj
zDn;-(XMwVcyNinpEw7tW8oSXCs0u&R$y-Mtu8IA-BLIPb=g8y`J>=yD<%aXxNN!mn
zl_)y!?c0OH!<z|M2y&oQIMy5-xWGiG-yP1DUd1JRobdPt9vQ1{2uhJ5&TN~y)(dS9
z099KGcJjXM=1XC#5&Eh2R{<Bu%r9S-S5_t<I6psec6qNz7sJBB!l0NIf+`Yq-#PJi
zbv@i-(qth+3{6d)h#fK#K#BwEk6<4W(t|)Wovt%WTEcb#^3?XTb-4h*H#H4fjFri0
z54)3Ht;$FW<Z|I^x6eVr!JOoTQ|8cCApf442;)Iq>~-|5uyBKS&U^pqAtTw6>$Nie
zJomY^@&#aa0ORz0ua|9hLEMK<9{9}rfQlfwb!(V3MrLe!y2rd6j0zy#0llTCM<wvE
zueTRi{SqcM;+Z8iHOGL8;z-#!IM{65#Tj|Tfpj`peF-grkplxn%M7P_!1>x5EHa+W
z{QiB`gzFzFmR^s#pD7KPvwdm&&aH2+TFQZGx3I`lW<1~Rq`^V}kr!%2U<hy!A?<)#
z+T7R(BLnwSRaFIa?YQBe|7hFh7njbzTd)WS!i0HcnQ!)N5ak3OYza0BMk+HR%glNK
zS8}vHCt_GxHh%_NESN+xgx3NT^Zsv*Dejbbd|H~ViAi8zI7}&$e6O7Rni}YRcbW?c
z;rFdII8^bn^szus4ySepLqjVb^;Yst$0FAjaGL>F-rxV-i!MSc6^c=7oE8B5^+rhF
z+?+xCb4^WB@6!D4n+o>i7hBZ!>ZD*Cumfm?h4u5@9UoT;!t4`en_Y3_YZM#+o<9bI
z@jLz#-1>@H9u1SK8Ad`$1VgG28W90LLn=^r_L7Pulpe@tfJQ?gOyh`?UsRQqi8mzz
zl%t}U>VPihs|hV`cuGEA*(~I`zP@_A9tlt=qTq7VZjwyp5XNuDvjLq8^<d|=6_y?O
zG+EqU5D|dk3layDb~R-LP9S1p{%mfB>jD89qKYvs_<3VvF4GlOUGpDaJ<e5Tv}D_G
zzzG$lB_GlPbJ&$Z_v{%YVi%_?ZDgVWDdE|r#zdCu790~31Ne~br>argnc$j$RgD}R
zBu3DZ;$I8r>;AA0%hYA=3lk~+^(#M$n=d}J{fUl;W+|ld-1kdNNT{r?21`Ei>lc`K
zTOh9i)qObYxeRN7DBtTvnQaCzPqDGFrl}#VhIm(gBvF$4-YA;|WB~mQyrJMT0Oi8s
z1s4eyHW&c<{AcK`+Z#jxPh%m|F)(ld_;wD221pd@qI^*J?6YS)Py=ufqUhT~*a5&1
zqoJe>*98vQU0`Eh0zH-nnu7Ds-~FQ|0{{?(isWMkv!JKfIQY(Gv0A9?$x~qC!$l1@
zgn#^lYy+wvz^RKWv^S6q9-P4bz*A$QG;<FIU+v@b%(HvxH3UcFMS5XhbZcL?kB_@y
zP7k}5AhxL0ErM$i!UfFMnxdkj%FAIJI{~>e8F~~71u$I#JUmf?q?8o8nU;qnvT*GL
zZXkf~)B!~Z%ycXSIGg>I!D|S(7XT2mS%VDTK0fuG!|!o9u>U$xe(+X{43G`9b$^k{
zqaZI&-~@pd!wozLYH<-<JUr_g8#vGFC8VVvF)}g=37zjP^&${N!MEV<4ho8y1r!8A
z_ct2l`XS^6!XE@>H2@1lAl`}B0yiBnaQEV#3q-;#9jdC?%8URaSs6$NFD>I;3jr9i
z#tFt20<M1q<0$IC<q30smzV{Gzvb>jYX?4ON40fzFj{iCD%4T1(ns|y;|Z2t2ZN|O
zRC3m<6|NeA+Gx-khq4GtOG^v#^Jm`I#SU<UN94*U0(Dw8cjV~k==|Ip7FYfKO5v3=
zM(~HdeSKU{pIX`5SCy8E`Km?zyIukIcfWtPEWHM{I5_>&la&krpnIcd-4XskxCGQW
zq<M^Bwu2hs-pHj9;<dB01G45N{1O$FtnBP^%V9ca=Y6=zfwmTAxFlUE*tXKr;h#TE
zFV0UO3kc)1S7K@!{WlVl#$#izz@5j)EN*Pn!#xsUn`fq{=~C-Rw}?tLDapv*w;F=6
z0IVilelTp2*lqegC<rVCtm2}gt<_aN*Yz<V<T7s4N45Q-<bQ1nJ{9b2V<QF->8mVv
z@54nhoeK&X!g@e~L?X|BydwYxK5*m5M@Qpi=pl{*cMnbiJnlwmutQDsu;2>?g$;0^
z@qVWV`FpraQq6)y)Iwc`>~M_%KV@Wk`fQ?s??0dAa=#8DY7P##yk+VIL)_p>2A`9-
zs_HF-GAti^dlc-NfeEV1dM7aEb{mc8zx~J+jt>9rx&Q4`=9`JGd4`R?yJroz@E~NL
LD@qoL8@~NNdpqk<

diff --git a/tutorial/figures/nd_spl_3.tikz b/tutorial/figures/nd_spl_3.tikz
deleted file mode 100644
index 9d1061d295..0000000000
--- a/tutorial/figures/nd_spl_3.tikz
+++ /dev/null
@@ -1,20 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}] (0) at (0, -1) {\tiny $a=[1, 2]$ \\ \tiny $b=[10, 100]$ \\ \small \textcolor{red}{$\mathcal{S
-}=[a, b]$}};
-		\node [style={nd_blue}] (1) at (-7.5, -7) {$a=1$ \\ $b=10~$};
-		\node [style={nd_red}] (2) at (-2.5, -7) {$a=1$ \\ $b=100$};
-		\node [style={nd_green}] (3) at (7.5, -7) {$a=2$ \\ $b=100$};
-		\node [style=none] (4) at (-2.5, -9.5) {$out=101$};
-		\node [style=none] (5) at (2.5, -9.5) {$out=12$};
-		\node [style=none] (6) at (-7.5, -9.5) {$out=11$};
-		\node [style={nd_pr}] (9) at (2.5, -7) {$a=2$ \\ $b=10~$};
-		\node [style=none] (10) at (7.5, -9.5) {$out=102$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-		\draw [style=grey] (0) to (9);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_3_comb1.png b/tutorial/figures/nd_spl_3_comb1.png
deleted file mode 100644
index dd19db24f92d4e640a1c38d88dcc2ee0cd942a64..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 27292
zcmYhj1yq;K^FI6mk(TZT=|)7lk?!siq`SKXq`ON*P^7y-N*biQySw4Pe4qDs&U=n=
zyzgc2+1Z)dxvrTtTv1-)4I%*|1Oj;@B`Ky1fj~`y-+J)S;K>}9AvX96!Cq3!2?9aF
zeEAIpNzcTCK*%6cV#2EKnFos=e5#9tkQ4SIR@G$kI8|k%L}_}d#48c8#HEW`7W$Gl
z9I5*s{D<0TALrDPmBo`y@MWmd4<bw6P4RAB_g+W`S*bgjWgc%o2Bq<uWj9Z+4?2zb
zphR~VLf|pb;R83ew>kZa3ks;3HOay>l>eYW0yW3X-_s|h$HghBsa;;|j$d3{OiZY5
zsU*-Ss4FR12vlyWsQi!}o1EnM@Zo5=t*x=K@ynMliCBCs<g%R|w=BW0-xDx#b8}Nr
zP;hb8fB)XKu&~h8C8nh0@Njbq0}U0^>&6A0B+bOkOr6kY(B?ZdIEV}npUUS^SyNM!
zmNr{%)M?24g%y6wKr*#R)zZ*#C0`=uuSsQ4P-nHpcw}TGJPfn}Y@s488ylNKHXi~!
zyuGutZnb$_S{gp@Poh8`xWTqqv{Ccwq9R%rmNFo|UXv>~7uN~Hc5SFEb!c$#!D7?&
z<mBYi(h`s>*A7nj!2cF^PZbMsbK<9p*+}+con1~;)SEcTgF!b5G)iXXqleq`GJ`h#
zs?S4PLm8{ico-B2MsN@pY%Ij?zCMeEdWW8#o~Wp(qobp&Om8TNva&KYHMQIE($MfQ
zEaY!rpNFUCKl5sNlvjbNhEE|d(P<tfzkg4a>Sd&)Y;SB(UKAU-^DQkdwlp?s>*#om
z<_fbSiHbm-vrr1b2U^dR8-XuaO_$0^Nr5$^dv4hv#PsrVb8l{MTUl8R^!44|-y`u-
z6j=q_;$kFjkK|aHn<JC(aj~$V4oo+F|NcEQGxJw*aSoryJMSBN#1M*uu-sB;eZQca
z80i8Y9v%$%;3~5bL{FnvesO&pA0u$&(%<iH^d+RG{}MGu81^F<@OpaSj+1nDa%%Fr
zE;XkzfI#9TWo2bmm6ZuNEU}WLv0b@hQ-jV8!tBss9GsjYzJ5hSMa69x90(Mnn4O#R
z^zZ-%fxwF+X$=gdi&T}~W#exg7ZEcXo6<xA3#7fPD_EBL{^o{@hlc{5;=rEl6lS{(
zja2ccDn*?8dQVguyBQ)cj;{#X#%P}C@lp%Yn>QhwhGEAm54daC;bIgR;T;_v#>xMw
z9_)g;x;g;?K{*lfDRJhr2p@Tzq^qmz&!0by6`h1S7~vB7OirK7M6!^<+Kyb}Hjp5!
zY-|W9DAX9?_BhC==!0!&DUI@Hrh#;LYrLs`<hIT=8v`&ZtX&4>Pe=}t4Rd(|IHEa%
zen*>|muuZf^%T%+=-@k<M%2qID~78tf39S3+BrU+`TIjkn+^vvxt-R!!r4C$`tJvl
zlXN^FIY5NbBqStQSXlC|$EBpC9PI5Okne?s22HL*b8`fnE5K}Xb92GA*v?jN?oXFN
zAPfw}gM+fA%ZrPPSwdt)JkDYJ=w$HiV6GRX(9_dv)>CN!%M%xeg|IsBDB|L#1O`GU
z294whmi_#>ySHa)YuoCyEf4XJj6{x^44SXA^YZdakfhXy4QS-jY!96IND<fE(sF)w
z=8pe8FK@Lg91|GF?Cfk19BMYFo&JDXRb?d!pL_cm1|8kcp$yJC&fM?cDYN7y{KnbM
zhMkX>h#|4r*#hn-hPI!~qV^u|uRrxhA6B~9hq<vni&*E4nb+3VR#a5*$rD~5FALhQ
z2=VeZfyu9S#)3ArY-|pr2stbH!a7&oJtQCy_S-L^p()A9B;1a{y<_PX78Y!T7r`MR
zr&h8>GQiS}2hKJJTAG`ytE=6KLd7Ubbm~wbXxP{_j+^}p3%YW0Lt8HbgAg@x7H_-Q
zXft0MmG71}z8fDO&qV5RcR?3OMkAl;ez6mml!RTkTIJ~I=y|pg-qt3FWBD%jFZjeB
zUbvXFg2MK|6<=v-X_<b@-dKKUeEh$~Cb#F??VRM1y`7zdnTnuIs-5%Y!NI}N(NQqD
zObYYt{5%6az3=T=_v|b;Gjr)}Y6LDzV^b3YEv@xJeOv=3@$qx)=jl?tgoFejW1tS5
zDA6Y&v|l|v;%aJ>cFU~@ys>TW?(VsK``g>S>+nRU=jS@*hEQ$dL5(Q&Pf&a91u`i_
zL`3dod?y-4MtOC0ZW#(7q+K2@5<YGU2nYaodqC`2S`v8sHb|EG+)Ah@!vDHW*xda6
zT&{3XWmVN`sFm|z)H<-2U}AVmY2ZjAPG=iZz#vn-dBrF(TwGjM9Sy_Y+CL%HL~!2@
zjf{jwq09*9DgOTbdj$*6m=xIip|QNL(V1yNaxzXPv?x))xj~W5djdIm`O=CC^euy{
z4tmxubgt)+xvll}D!XNYRBvt(N(_8tSY3Fi3J_QFYA<)k;h4Qvpu@!)L9_&3{vr%C
z2$6F_)Cr3V3x+zcn91P(mFRG4)&<N!?V~CZmg+UtT8vX0Nsz~b$d-DoiNuR03DXY3
z3gYmJJB%Q|kaZvkL~6RanZ?BnvaPyrF~WiE0J&xYgf!vKS-SR?TD-2VuKq-eRF~+t
z@X*ss&nW%(hMtwxzAFs<<&9i6-|gl=%AaWHKRl^^d2JvRVPj*Hq-3$-A!}$%gCpte
zous$-Ltg?7h`}EC!72?64Kxbb-xX>3qS=kR!rI$~e8phG*)`XLp5kL;4b9AY*U7ku
zY**R?_V)Igk<acf_e}?q`~Ln-OiF5TKV4hvjzC98ALQq>ct6)2fg6fKoSv1{V$v6X
z)hH(}F5c>OjS||~(A30E>T$9ntfG?e{kw^%=qsmtlVpjB$w`T5qTAbZGm?9owNrN>
zDt!`S-IpLmpqPu46c&TInVAy-d0kzi<B!O|I3WJtzO8-x7(q!zm64vF8biuu4}!4C
za3;4(p}gsl*#b2?dldpE^~2p|#H|gmN#I=v2M5;H*4ca>%8H7kcjzE$X=!PZbbi*Z
zF#aea0&VamunQYlg&zVkGM~p8<?(t~PY*Q}Rg2HPx{l8L;Nb7uQ;;iwkXEaIxpQ!^
zP-nONAv8YLFpDZy@;f$zIs`H?F`;<3SZ)n<eY)Pel~x%auk7vZ4g5}%WOZPf<V7ZM
z3=U;-Cm6gES%cd$*g=I6hCrIj_<*+&@HiK>v^;{y0t`oc%fP~7_YL8PYG0}SmRP0H
z-HR=`Rh|X!)*%hHHk(KIdp2iDef<~ri247fig|eOc5-rB>g^jCV1M@x8X_hp#@c4C
zuA#BLxjE_iw7<6YZ|R|~hV4@i7B)68DQsL^LPA1zQtOs&HY8Ee&aGNxaIjtMjDbMH
z7*mc9;RT`TPiN;X7a655u<0jST3Wmh)_BM3c=-4&o|p6>Jt`_PzrQ+U%85@-{_GKq
zK;;5XuB9fovfSJikaGZCO^uJwH@O`H*ZB487YHsWqymF{*0YtSVBpl$)DTN#SQtDa
z;vGoT4(ID|S@eN_THD$AJwH8yn5U(w$y!!k;~N}<jErplp5VX;rUq`w5BafU!Dy+k
zPiiIr0%;%1m*BKr`0K0pt)k)-{G*v=DJ&wQ_}8!W4>klb>ktSLF)=EsKx9pc4Ecfo
zK54FCwt$Z`B}NEww;dPJQG39vgR<wSuV2^rEquXZ=4z~%BK|ak6E!?Me04xERx|Jt
zZinUU?CcN9Y8{Be4$cpWbSmzC<4~_)bz3}>t{qZ=LT@>+D3d`L3M7-{dQn!c@=tJt
z16TA$3-1E?gpmZ45$<5yDCz3zYWX20DcGgX!&q`GaI(ZgPWP2bD3igDk-=l2+!$eE
zm~wFVcR&`Kf@~LWShaolh0w^TUUN0z69m@7Znr6#<&Agvy&1ge8AN8(fpy<?UaH*g
z+#G11#b?y%@zNbyd6Yv#1a2>=s-|`;xKn1ZvLR(?i-Lt6@S8D}18HOP)aFFMr+u->
z@XFd&-)j$RXBxG-8GmjP`^4^)1=HYY`%4%0i?BF2IL&sCCn<Kz?SZcihlx(^IEsoO
zBRN61EdFIIg3Ezc86N`lTiS0<1HD31Q}JwUY&xP)!$HU)7oKaz-`Rl>6GI@ei7+@g
zhSSXDCgHL9#`H|D)6xvr#Eg2OT=c;5168#Vp`nG0*K#EI_yf|@PoOPVhX`{E;S!Ue
z7{`ETp0ix^-kh%AF1&jfCT2B;VSNX!u1@v==kV_rSVe>7BR}gOe`yr_GYC(vV5iH1
zYOJ6FbBT%Y5fYO+#`0GdxXZmg;NYC7n3+*{A0x?-1NTRA1;LIvIXd2OulYlfy~m=Y
z3J8MhxH&ak;#)aJZFDo^KNzPuX?xC#`t<1)4$IL>i|rB&r>%b&{AdYby*(747c8@`
z5U;>HjG5WT)~63{%=J!i_4Up-sB4m*o}M`ZJ~zD7l=3fjfG6nt@ceY$=CVI^YV_M5
zlA8xbEel|is3;m1Omj;|I>$;MrlHk<=gDXu8D(%`9RnQ{A!lH3j2{aOGd(m8j(P9)
zc2Jo?M>11eTS*xl^b7+n1qJkxA99{QuuD|vfcBib&JrEqZ_9mkX%R@Vu@LAz7IXqc
z6BGZRyT^8&e;{|_(#Oj|d7@BNf+i}MlJc;PjSo>_;`#V^cqeYMl7lZn7LFuFK~8S7
zQ^?4Oj1zZa`q|~JmNX(BH^yN4WY4KVt3NUC=+|afSHo42YPW|Agh(QU)FB*t24Q0g
zR!+FSKEtlC+L-67H<9?~_aNUB_TgW-7VlQ2S5r`kY5OE%3=5(i3&3DM6lt4n)7WhY
zPR?IVO|1;#=jOk{Lq54;s`nub4yoaPo*aWhB{{i>ZfsmR-(EH#6-0rD0ZN00_T657
zL)d<?YuFPh*o#Vx_-`EQMVmxCFvD4|9$K#{si{9Vli}iu8be;b1)>W;8_in=W@e)k
zF!EW@U%nXrMawOD^K=WR+cunoHeYQ|9v1Z)mj#-R&d>_!-+0Grr+>p+@lS8vPoWbN
zACmmG2ceFapzQ2oQ{ZZCUym1_^M3<J<iSEi!f~g_8q84}!efXmH7Sqt&e3AiACzEz
zr!9XPg&Cf+e^lj`YQ3RJDM3+$9a+45J+C3{tM&k4mFK(*enBozAdz?l4INDUx@~d-
zey`Dh7a+v^{I{~LXfM8_9vvNR@=j|;=_IL5(BAoAkTde@*YqJh4YDGJm(-EN>*@f&
zLnDcf>~9pTe!jg_VWtBRlI2tLLWT2voXAjA(mxS)ilK&&xW*sz$Es^;0HguA31RA@
z7ZoMMp!U|n5*it{ebpaE;T(fLiN~}*F)<NKAQ&c`10+0}tEcWhK0af#!jjU^Qc_Qp
z1`z*XnApS(wp(Zj^s86kJRVL7BRhQwMTFUceor8i1sOCvFIwF9A3u`Q(-DvPzVN`D
zvrNFk2sgUy!=@-W1jtg`%~jL!@#%s*h5|B0n)^XgN~)o;v8THmffsEI69Z#yYm54T
zmTU|Hrk$t7`U=w8=CCewf~XJXqq*R8yJ>(jh65+G&G^56|HjAP#z|&9_INM9#eZn&
zt02qb^Y}L~fJAK&Cijx`6{{4s3;Oz3nF(v+Ny@_Tdj)QoJiYJoxI%XKgytdkzG)8~
zQ|#zt>7skd@CphFx(!)*J|RBrVb4?}Fls`UT3@51=YEHI|Ng{mL#xU^E>4J(+t&4L
zqYq@yof}9Mr~rJur^K+h+?#x`KwQWkRkYv7srS0Rez#;bEu@I%ei~@EzQ6xUL4nnd
zWEs{PDM}n<%f+RoJylNm#4u2hmz>qi*!Wvn+41o)OA#k6BTTVI(E0ZBf@oYaEVIGZ
z{0$Wq+1ppLnY24{(J4$iTie@k2`v9hNqK|{l*7f0U0rL1;s<)7aw{r=qTXdpPUrK_
zJC;R#hJrHOS1<SFZ(kSICE{{NyV&oQ%Pjh9at2Z+3`|U;Q>Zog!8XO-;T*x7q$H}?
z`PGTZj-M*+ORei~gMtFeSmvO-uKeTPYLV(zK%1Bb;IatCkhBjVegE#SQ&%5T%LE@7
zNx;!RJ&kM2f$D(x)bNF;)^hTfQoi`9kpTq`6;*CIT6u$1dWj7oA&ndDJB&=OQ!h)#
zRJrKm#U@URf0U`-<jes2xyVXOgIU}FKj7iv@$eA#xQPUTjGB8B#=cHMtgPy&cW7&q
zlij$d?gdoE&=3<ZZ$?|Eh#m|;xH@5CYkQN$Sy@@P4IFVls6ig(eQU;G3~3L7TiI49
zH$m9%ASYkBvZ)@sIx<~6yqV`5ZF@d;>1y*07*#|g8uXeNLW9BQwAIzr#A`l)b%2}l
zBX=c-fA^^e85b9qhK8o~4Ufk=5FtR|zdZ;0HOC>8=N|-jJFXlr{hFG(&1{y}4VoTX
zx1~SS=y`o-hs%0~)y>UKAR57i4xDR5hNU54QBj*Z<n`59^^JiVW&Y^|c)U2jb>NWS
z+_JwLud&K)CX$qdARv@`u#>`FU0+|Ho+1Ehz>0*d6oBlChz`TVloT3jYG$p<4G>iI
zZbdoMWNWLdk&%!HSq=RGFH+taAO=oqG@Tu1PbsPJ$Vgd0FMwb3Nrk?u^poxFD*(o(
zr>A#!cLTcx`1;SO6)FmdA^=Sh1D@sYz`*`uQyoCsD52m$e8<6&#r6p{kn9giNfldy
zouXoFa&mHTa4?tx<m*aG=q**+zlGOe0Qx~u)zC;uO0qCFFCTQ}=jUf<XTNPAf<8xs
z*_|#k06!TXE;Z0=WoaobBLniP`4%rXqi)!63Xqq$vLUs;dGp5S?jp|IN&~!?QBfJs
z;&pQk5rK&kuL3Z;vQoRwR&U=79j0$&L_=Nu3!qDU%AX)LQSybj*w|9i(!YNGtVsim
zNnT#w=H{ke9-450GGO5Jbam%sTOklSIywNM0m+e^l+?lfri=Q;%>lqw)YL5c_Kkvp
zVScqEJ3AYw3UhtHVTi*Zxl+^$88#oJskOE0YHDiA%9T!kg2Zq^!1)c>CnO{!j`#0p
zq`=f*kAb+r*p+^&3inRkN>XCPNt)1r*l5p{85k%6<^&`J!Of%y35EfPMUP`f9k{Q<
z#Q<#m#I6wj^?Z8-;1z#aYD{>TXnpvB4m4hnDfn77{7Gq={EdZZ3NX3V)Nk}42FJl-
z8;C!M=8kTKQYtE#y2QwNL6>mw{^|_g4TNGcG7N%(&*Oy(fSEzt)rLuv1&1C`-C98%
z3K;4FILNT|Ko&%x3qL<UVAK?GwC#EkFtEaC3JMA`G6NcA`ZaYE0X~3f$_u)!lljDo
zXKHE+0y;o48=tz{`})FVsRe!RCfeKmMe<IpG=%|^=F#T+2!Y(*-g+MtG6Pm8FHcER
zQ&UfGsEm#L6tdr@hkN{b86{4VQb$Jz4lYzQ6ve2)05wEJtJRx3sH5KXkRa#!<_47!
zPPC-s)(*EjCD1Muka1_{=WwVbj5IXcySq}D3+lKF-xO)(<>dhfvsi7R;_hDWAJ5{y
zX;{R>`t17AoAJg~Qd-(_vC(BPW+}D*4~P$AV`KgOmRAR}KsIn3VO{Y4ab)d+o+53;
z(O17YLlKVkx;_Fh7m%ql^Ycii1+0N&0G#o-?5P5<1u$y}_A8(^s8qkEM0whq%KZBJ
z8=zbu6=gyn*buE2PmV%2PJ6(@0-o#eV73adDo8ktcmm$;G_ue0ufR_F-`4G~6cq%m
zyyxK9+}gT2UM3Cg95b($h#?{7c7%Zd9L?!*wt@au{N(x_agwy0q@?@pnW>>6S)Am>
z$qDO+56SWIB52=>iozP^gf$JT;NiEHne$pmTC<LOV@T!X<PZ@NnMkeEsMJ(d0iqR;
zAt@;?mLWsqlIvBaPZH1X?&|95?tTpm3k-Q~Zmu?M7T6+y0U=8jxK}7g{f1B2PJftg
zYQ^&ufrv^JMq6tjjHITf{*Nc0c#VX!V$TH~U}$Z<uq6Y45+a0_i76^9EcKl!Vt`O8
zzn3e3W@BdKfM5ZHO@DuX^K-sC%s_`8&S2Xb^4r(TpTQfD^D3&TZSJTIx!IeTn1Ih$
z@XfdR`GHpu2uaL#QS_i8YpdUL^iyx{c)O$hG|YL~%pb{)x`ID{L_U7}2+*k!+?kH4
zX+dzX7}z3^x<JZ_7N`)OSp+HJvw)+>IrC)67k+wiI?u~JH7zZ=16tpp;-Dt7RKM;h
ze{G(VBS0iGrYr`_i-?Gbi~lGsm7fWCfXevj3}W+FY}XGqn24}JN=ixrS$*zR`YoP7
zpYXh2+uBPu8c~oRzl!kfWhSF6{46N}FS;gjV5osmpN+)8B(Fb2>`<^?-$NYWf?h8t
z_YVw!02D&}aUKf`%lGL4NTS){Xs-b|FZ<hR-BE|n?qkUQ0pbsU?Z=O=KM3x2I+nW!
z?T?5NPO0D2{`~!0R$d-Og@II4Rb3rWiLWw9i6OegjIApV8o@>lEAzhr@e7CtU_pOS
zV4|9vy*)e{%Ja=}8Q~%rQvE(+_aL<n`99uF7HhB!K6w}#Pl=c7eg^b%1yJfvhc8fS
zf4_9(g5j5FAu_`gdLkrE6dZP-1H8e~6B`vhy)3||UaiAG0P@cV-}(6yz-nhmDGCk^
z#YqGd2WEJnoeUskDA;aaLssnTfvO(wE@i+N<m8}k*ugdmQB}m&A=a4_DB>S;!nr}4
zhNocZ@MtB0cI?O>yoEwLT+wz6xiu#`9wJ=6sh!w-nf-#g!#aZkO$?UsKJM1%C|#^{
zWgfZe4e6*+6)_AC5KxceYJaRCOt+(sijfn{G4$UYVqlJs6xv{pQ!q#Q!hdrR%{)Un
ziG3@0#dGj7_Vi_J6+AlhcH0a^Bd|z{F(6yd{QqP_2XOLBm~%&6n&f*h_VK@YRofpT
z5WeZ3*hr}o2;^dh|L-Z@J#ZEQbiLJiYIMsRe|goH)fES^$#3{6h-KkndFx>00V%|a
z{wH$JyHvjrDL$YIvC`F7Jm{8i0Vv5qY)D%Mt7wHl6>(NzijDsigdBLQ0pIm=WnNZ{
z5PYuTzt359ZKN0khiL)X!hqgrz8;c|b~v*B2%EG+x(Wx6sm5%;99aJ?1QdPh62eSh
z76KMc)A-+Doc1TwEMa7Ao?Oh!7ugztY%`1^^}v``x@y1&kzdxg``@bT!TK24m~TE{
z2EB}J`A_xWfPVe48L5>iT%r@s*?9DSI!1au*al6W%-}sw`2lQGxCAe}v%QP`Hs-kj
zVIJB&FcIVN6R512>L4MwfsQQXEdzmlM4)=(ssG<oge`;CU7r7Ynp*SU*jHNyPdop6
zIt#}B-_u+f6GY*C<(I)Pk8l1P95@x?>jCp!1{>&p8pzyL_MgnOseTR9uYn_U)dSr-
z*!)lTuVJqIR^n&soP}tXUSxIvGM8(?EQ1;jXX9s}xS1El_57!}<&KAe3TB-X8|tf<
zv2HJ8i3SZ=pB-}<aJ_Z*5MQ49{P&cF^|`Vb>BW0+EpGfv8D18x0eAi}<%!AI0GH*a
zcH$$@@;=3XGanm19pW+GeArh8Q@F(aPxYx1tk2&9UK`-({aSt1$UON!9Xq|*T6XOS
zWQkw~zNDA(p8++z8ke3o?5L~x-$M<n|E;V6a_na%3Zki&RvIW?;!O~tz2r$Ow6wV<
z+aUZa4HO}JVwyi)#>W4VTKTevJVx^E6RUT9b8~ZYvbvWjh*uz}gm;Vt$AHuZuz*H#
zKMFvK2XIxZ&%NvMl3tk6`<z?uWyiI(wf-X2;AqzNV`myVa;kvNU1a=k`T6V%xk2m(
z_B<@l%0E>JqHr)V$GZ&QkKsf7&%Pp3ef$UjBc(iaD50P)Uw}~i`e_!XLIxhPILPuv
zMMVKWBIfo@B7ZDCA)(Wt85t2peqgXX>zz%x<ua7dq)QEKe_yo{KP^4W00Wc!L#CFJ
z2Id95^O+cXvB!r5M#e912&Xb_2nh(JrKJH4J>Bq(^&8}wcOc0GY@U(;rP9xdwKd~+
zY2cK>bA~_wRMt>cg@&w9I&cxS|4AD$7+fg){Tt*O(`m;8eCGzOp7=yWs@l>V1iaFs
zGJ2vai|w&9Tc;BkmP$qrp3>qZRL?%n3*V(afB5iWYs)X|7MiO4;eL69f{}}h>n*=c
za~~yl!xA+nQ`$)Xz%>D@A`J&s-tEox*lMDk0U#SW*{f2`Kl9l9DyXP%FdMEFYbkgY
zB_82<-m^b*T7B`JAwde~Z4|Q07y9eHp<S*9s_xS?i!zM$z_*=5)`wGe3x<5I)*vTM
z0sdd=!V6Cjm7JJJ<j%PwH<1B;yb2+~bAUlxKC|Duw$Pg;D?n7>dl!3K$(>SCYWfNH
zwn|T-GZH(}zQ<I;AdSo1aodXX=PEGC)!ooOF>h^3VxqPzd&av?;}cdJe0+TQUOIYO
zc{z%<n6Eyk@2w}(lOi%R<z!`H(CyiuwhaiPTp#bE1~f_&lM}Tyhw*uby;GOqU%#fh
zk|_GkI3lYM?el!+a)ZfF4$qnSf4u<wk3%{OgEVp&7YDf@V=pgP1jjs98H*BaVnS$4
zW}Bl&uSkm4x*XX1GgHlAd4-3}TUzS9)uw5gC#|(wn_@tr8i?c2zy|{64s1E7{K780
zsdwCzwxFAwwGIDyD%L_SHd`xTUrkfSdMz`&9lI?|J`%)4t!2GbIcpuCwlf@oj||FF
zYBn|{AU6WV7qTT#-pvy5;@KM_v<hutFZogY^Llll+&MTqJN<O!sI%+lyIQfj-Eys-
z&@=8$vL8B3cvRHldMjsCX06HYm%j1eT>TA)eZ&3U=R6liCrnjRTZFpPa;dBV*K9hN
zi-9cRVslMaZVtX3r)q@aZ}6$9QmZo6H3$i09NSj;`xe&zo_-SfnP`L)NCs&CHqT9M
zDW&j)sPhGjDQU$1X4Ly#tDf^PGn$r|QoWX8hgE1{g)SHgq0N<@ot>m&b&87~Ca({B
z_&d_l2pfZCB_%$D=sriO*8ml#G%{}9r;UU@M36}e8RllpZz<*X@UmzLnxC+?icMh<
z3;!FBFVz!J($jOejprn-D&N8Jro-xA(5gze+>a@nHThk<jBp$_x{JEpvgEWlzwl@6
zPL6aeE9Dd^kSrh|z&7JU457{1-EmLeT;qcu5>LFC{DOyjMlja!{l5YPOtE)J=XFG~
zd5WKhvJ1F{e6sUvI{wxoH9dTk*jZ(v7$H7)wYTT;+@K{L@zy^-29*K;+y)B=9dzrJ
zOUl|=hOw}>^jht?I63!A+u8!4$^<>pnQkcH*J_Q{TiPKx#P>Wj=TDbM&Uc+|Wf~-c
zD_+~toq?|@uEPTi9v&VRKG?X{>Qq{uYDa%XUXYTEZgM#mpSm7-a(fK#8kXdF=uUBD
zjS`=4{p6*2Q`{oq_U7NJLR^&3AfxwFeO=1*&yPsBr>3$;=PV&24i2{(+CQehFx}rO
zTN)ZD87;ZiQFVr5`goT*J=RHzA+>(rG1no?kaI=S`#g-TSQ9{8-8d(Q+bn>KEhgSV
zjt2h+QIwVzt3Pwr3HF+_(r#b4HIZQE8f@;JUhx}ov@*RmYR4QwcSbltud6}R-FQEB
z#!82BjF*|zu#*Z=b4K#9nxi*5(^z&_S37pC&|tXTo&wLmbq}Z?+PiA8yuA^8V%*sD
znw@z(FK+z2mxwSI1V@O6XU`)7&ImvYfHMM~16=~m<XK=O{~ooO%Xev_U9o;L{z!Ro
zD>A33c+4+7KdUr*$&i?s9Cq9S4QBSZ!Ef`cS|Q&si$VP_%pWa`iP#A8=b8KFF6THi
zJG*-*Q}_#gP$$r#ouCBBYBw62lw>OS`YrrgW5;FSb%>Q4OXPbJx&?LvZSl|lRM`W6
z{lluV0Chl~=B!(y5x<|RzgivxkN7>07X9RvXL9%%7zVD7bjJ-;hL)F8hEV^2B(FgE
zXSC}%+@<<bn{^agVM|HUW0AJQgMSCtr!w}!?j{_7_;F`g@J8KY@3$V6<3*lQk~NY`
z9+&%9^O5DVt}q%%c_lUt0lnGh9pAcI{$_p}!C`J*TkYd!V?jotmOQV|*L(JyDi|zc
z;*!EbJ6nr=j~ShvK3oWBU2xvZG<b%B^_k=VO+2B!5#};*^hwealX|vn>nHt}snUQ5
z*wk-1KIHxSti<l~mFk5vkx=}WFLmeHMddocUq_7NdG;DYOGkUJ4}UO5X~p#?HjAB9
zWyTH%l%X#!TsV((_iL?Q{fK9Q<ko%rQ<7Ue@ymGN=R(dc(V$;`e!h*hb=i{l9K!T0
zS5kUrxz&9o9BQCavUr$zM@nY8CAUZAh-=Jn+eA;?`cqxDZzSe`BkQ@c&P_{^eCbu?
zTXJsO?x_NY(+Y|@+VW0E&}39S#Frsjc<nMw0avQm=FZN*w7r{9sH?g$JJd!(azAWP
zze9*O+m|voqoJjBbYO^%@y`_zXAJv)_HDI~+sk79>&(okL8#mGdjruWnVCtL3gXgs
z1<TszK4IaJvu{m`+#nXw1DPh4Mqy1IPimUC52^lf2`zLBN8kg=LgQLScF$?ri2Bpz
z$qeot#n}Y6Amap)Vs%>J$LbX%NUkF7Cy5weuOlAZYcwPz_Sa@Av=nYGt#X4K`(ET|
zNE~ojn@OfB2SZ}-U)M3iMW~;dehv40=34R4)Z~(2Z;n1ME6Z7KaMCEx@lMlJE)Od`
zdHp=;U18vA&a@+U({i(eyK409QYoK9Nvc&ANJ>H?zTu(gy=~RNQx9O6g2A<X7%i0n
z^=ER518g`mU%1;8t@D=W9iMHMck2Y~uW2Z|E)VB5u#mvszp&CE4%v8pWWIezeBG85
z`^@w(WMu^Rr)7I2+ite{@S{+$B&ETR=06J!&x4XOG!e#+p;{=zBO^I{-D@j!zo)(D
zogUYQe#IMHLmyXo@Xc*IAch!!`s78!svHcALP%J6cQC{s)N6kf6ol{muu-ovv#WH$
z7z6!2GkX^bc73+n!<p!=WV#fE@p`(+u=)r%dEnj7w8nY=DWRATMU*(ED<e_osy!%P
z?(0pL%{OX`fp(>pWe%CvZNKx&bJO!1*X=g=zzel$E}x@PvO8|)z?3{x{ZP2j7Ee0I
zoWPMRenRi_;h<ME0D>!^@hrA?3oyQm|9iX0_6HOeU{UZcZq&`&TGRhThY$)tO;fD@
zp`hptA%^ee<KtVy_{0}|3<Tr@C^}2f#z@2)nwLR&Zm8|*3h54&wOpq>ab(PeB1X?D
zvKRUKWQO5Dh^xJME7`sqmu1M|TKRV$6J2(zP1aw%hzx5s)1`^q59|j(kZYXZm08E;
zO-n8<<*!zSEG_po=n_ajF7?jw7%-do_086MTNw!(g(kGsp0k{%&ubkEbp%gK?Z6vz
zIH{VL)E8Ya2%~k48rEMoGCf$XFgR=E1Y=2(nXzQzx{@6LA`0mWmD_Kp5=<^7XA{+@
z`xadrE0Rpo;IdWYf#sw)pllTQPgR+58%h&zb(|mQc<_gMWd~>I_LJqlvg#eGXX6h_
zns71fKO@teUE5blLrp;HWin?Thj1U=HMlrQn8E&6yAIHwQ|>BRfTNC_692UL2`WfT
zpnZ>=s@ZA2MtCOR<PCA2j@ICDIpUc3lU|)|3$ni4cLr3ZhG)B)s;b3rAxI&_l5pnl
z(=#)5ZS9NjR7te^b2okq_yuOhF&_x=)VBKu>`FStmGV_r+ipwi6nY@x@_^196wnN!
z$G>>b@>oB^20xI>5D3~BgB+3f@8A$aFmP}zKGkXZJGhiSH{>|$SHs_H1S=46dwT5K
zvdI9$*DDDSotVfG^r8lz5R#`#P#N!{1~kl-4gXGU-<x~0r*s#qDLWme&mfSpE?H+*
z>t65dm?wVH+-^HR#Ffpe7&Q!z^Z&H3$|6cic3F^p&lgNA+4R!c^Yp0Vb7WM~f?}|d
zjKxcO-F1VNTBN{NepxgI{|R`Of__TOHR-SDO(X|E_nAk=x$C-Gl@#T=Ps7GsRJ)Em
zv~9IvAyRRKF#hk`-Hu1TBR-nh@R?kW6HdF96)(K7+@t^yU#bWbYLy~RQVw2p5V)G*
z<XR0J3Q?D%K_j66=Zo;kFQ>qdr9vnRp)}}cj_2;Pjk?A=vzq~lv^2Ws`JtgdGy59N
zcfZyu8gQbtZkarY0%jlXtG?izeRxN=f4+OEQ%?xBuCmgHqoVul&}sPes4vvuxE=o;
zrnKn0`-xE2q|8*``X)C)$NrgvDCU}otp0QEn7Q_=YF6Ic#}fgzvrR((R}=rv!f`M^
z&&npmu5b-c#B5ZBvc&gU*a+O4sX>yYsS1DC+>+uX9Ctf~dR`sKQTrABEZwq&q1jg3
zq7DKuE~Fy_4OLXcmC?Dw`s}jV<D;;=z^YSE8NrdDkom7GqxbLQ`%I8aUxTin?vQRg
z+1Bofwex8O(pev6Ws%C#JlowbAJ0>?1X~}Qy*N=m*l5+bmjG|D-dYCL2qvut_>4Zz
zD?Or3oudyiLlFP?wSRuZ>b}D_&88#N^1W<$Qr2PwKUFO=I76O)3f?TgN&OTuCR1QF
zb*y_aLJ(L<F#Y!L-@nZE+9ZU81HDBzn>(wWC<%oKykA`#ShOmZhLz;vrl;z>GM|0y
zj|B`w*2;7^?Mk!)yAdsf!VGMEnM=OFLSm1YTYS?9x!E@-GjNICP%ymZH5pZWm&TZi
z=izwUze&eF_`=OW+b*;8vl#o9%t>^6J}r<v$M%1fX8w}?iSztO@A*T{U4mbkZY!Th
zIyP>81Y!i8({N_@LKH-mzUF7E66M_enK_?B{WX;x@)QM&{zdi&iywf43yO@qkT?rX
zpCj0+`_)em@m~nkmG7NxwwzCr(YPTZ8u@GDII?t>YU4;vM|H_YUT~{picJL(Qu1ZP
z6&*_FTyO6PvJtqv@8n98J(`sX-zQ{V`q<JhtDsDMv0Gf4mXX13b_9*DHMr<#$@<59
zyVmqQ!5fvjPS~4!UY)axfoBTlt@RWIOKIu!UzXgjZ{=0Y44u#k^|gEECis|{hr3`z
z`7Na=<HN^bO6}_1u`l0oAATZD5=h^BbZRx@)#P0@y>WFdan^6LUZwAQwv0~GN`pXJ
z$cfxc-%&<a>c88cNK;9rZ(VF6H9xi<xEufoY9%YTagK*iUwzteX8VHWoT%g$Zz((?
zR5+r*$e_&x^ue_}3)yN1f}KSkJzD;JdU*XD^LN_r^PuYr^C+Z^0pWCvMt-qNN^;?f
z+i&;J>a5co-kzxUMLryH^=s`~N2g~f=!JiiJx4j5cHce^{TVgc?%!nS@IrBTJd;5U
z`lgKWxPU6PVsCb|%x{1HD}VE1DzruJ)_uEM<sz?^hiPn=W+s|_t5YJR%{~0*1K}0@
z!e{CfE8ns^y|2+;`%XO?&@>Jm+Xrz@a0ewsI;7%X{r2xyQ0^2nG;GGFEY}B9tikIm
z{v3yVxxpTXhX6fk<voMKP0jm(>y?fmBsY1dYi)7NPutXP{A=Y@3|UYR!W28uyrz+H
zdo6m<D{)PlA5&{xBJ&*Zs72DXYQNI<Wp%RcmjQo-X0tcBe)ND~X_fWoW?$l2+b18q
zGyD7OD&5F?4u<uIv{y0Ne(h3{5QvHCsi;fnz}o!GlyhQSIEe%0oq3?Gv&H+Ki`jF<
zgAIVf#hI8^J-s3>?6^q;Qj~3%653ZG5O)g;(L-`an@421H^>ric5`F&Xa>{YxO^d*
zX>&UERS<4NzYh!w5-H{1UJJq3+J#d%jPOfi3`l@LR!mJo_X+y@Y8|#>INxzlMvIe{
zbRxL7i?)%r`NHU;Y*DB}{Ab-G$~9JJ`r1ITLB7z*XQVsGKQ!^+ICSK|%$Fe|g_uvZ
zY3Qv4KH=V*<CVc<)<{e^`3$)ak8Xz;!*3sl+GE|f+FxsEOcDMrfIvW_J*X`-t#w`w
z=y$&9rKKxoZF`JGvw7cBJ@nRrD|7T79+l)<omKBy1nw{bXXNL;zCLy8gnHlG(<aW|
zJq$H$thD7;nMW>%uA&byK+~GE(zMrma!gDe@(7^6g@YXV=qqX=a~9qwF7=O6Nw+r6
z-WM?It|Q(ggwh+{&jb$_zU`YUOZ*KFD*PfNC#l!MF+Q4Fe)y!Mf@777C5~fkc#*}p
z-Uqm|AN(@#a!hOl3x|RLhZN&B6~Z60GgUG_{5bDED<mP;GLpfm1Rq$Q=uZiO05Nfr
zZ6ucSs;j%$dN9)r*wfQ7FeQhUjbkGte}4;n=X$k|;&=MbnDQFwNx-|GmHmOg!qS-a
zn@R#Ter=XtMW^ZA!p4S)k;JLaL`D%lPE~`~p~M;7xWnhcvJ5;qHqxcE=&Y`~zuL5A
zjJ%FVD{5sKgBv<ZYQx=RfH){9P(4@(#JZ!HFlS8JwiMPkQu~-RR=><La(7Ylqw({N
zWI%PA{G+7&Q|uqv)=QU5P&U;?tud_d`TUuBAV?YFpGovJ+ZQe=-~(8H|JO6&xwgXV
zT?;7=j`u!6W8d9Y^LtaTc21}1yKiP_pLtUh#X*i)YD@A8cF!Ii;r>eu(f#HCZlv{S
zd|b9IM{jo1^gF!BN>a6<EP6~qGxh1IXp&#o^yIE<CvpG$j;ZgdcRNGSs`-^D?YTz$
zrjf@?N&-(8{ag1Ef0yCil09(j@7uSa>o&)Na=1p~oBQKI1^Ii){4w!2q{L50lQ8Sy
z{}u~$NFF|14Q<ZjD!mAEl)>);i(>Jps^_y<ffO2Zcxp_&{O>FtH*N%X#BG&g3;1@C
zD!sUX$M=G`Z7%uEqZ({eY>2;bkYCR2asK)R@|VllqtiRJ#9LMN<e>FW7!N+9cROqL
zT+@eEaLE5GA61vGn>mf_>JFB=GH+X>BB$_wEjB6-{xIqyr~66ANM%R|X}_PDLHK-L
zkB1)Gi5?pBtE}u5WMXRc;aC^&tVd({aGN^G;k#JLLA{Y2gzU+eg`II<zJSXpp8Dbt
z$j)xeU|*i$#<d{*-6D5N%|Z)KXea)g$zrP_ILPRpB}*_2%G7A$(bA&~v+1uf&Ey~&
z{OD|x8DRtrJ-tt&KB8|~-m*sF|M1(;I{8EOd?J8#EXl@Z%RJxUPL2{v$gxmV+KK`Z
zDlX7#bTNvZGTc4-r^T(MBC9pt-&K)7?a0AlYy7^!qn=<dCNeS_G-X&8W2#^f{cdPZ
z_~W>yia`haHcBXeshR(myMNO(%0K+Dl+Nkt>47y<C%T5RY;imS{84mI3n`0zusluz
z_Uw$9RJA0*=p%ma@y~YyW=8%{zK;*s*iT1;97k>iO8fKM1KTW&sM1i7cmLS8=1SLW
zN1qP`R=xJuVtygQLcFfB1U%g(6x-kE`G}V0TaW8456l_}w#0=0E-ty8smc~o)Z1^&
zXv(Xu3GHt7Svg>Qm=8dMq03YDXgEBaxMSKTfl+;U=zy&J`9ZA1?5^j7@vbs|-#W7q
z&ynT)zAg;af#cGpSb^jqzo>cIlxjM^Pg+JrM*0Sigyr44e@R&N&1D<)O)1wU=h$l4
z$PoEM!RNMDIzG^)_!zeyTlWhsSF{%$`J-@5qzg5DK}}<x{n!0>XKAQLr;+0MZ-}RQ
zOmgJhxtn_{7VDVrEiErq6qUIgr^b8lqjMD64?Ng!@HULD*Gbm|e8cW%9weWk(wh&U
z6cnkNk;4r=(0UD7?YVRhdMQeKv6()Gc({4X!@wc<S)n3^RGQxYV#s)+0qJ<gzu!_j
zO}1_XL?{}ux}cegM@rwQbUNxSAS4~O%JkbrCayi!|I8R+Y7Ki=KgM*&YcKnv2F@-L
zYmeeZr8eRJ-Umr&ty6d5yj`e?sY%7D1}X${_hyIY0F6}`S~&KUk1-(7z2maqAnrq-
zI}r|Z*C#W4*=<E-Mc;d7(1#9z2+7Jue)-W@p5G1=4tlmeQpGKA%VC+Cm^iyD1Zz^z
z(t@DJmL5zjyiHHnExp-dMIdNIB=elWtl`%l{p%OKQ79QvB=zs_{5-@Aan5w`S*S=B
zVsYOpjeUK62P8mnm6J=QLlQ=Valyv`m(LK6j*ElH<k@sW3<JJXs#EMLf2V9h;DuQ&
zqAdp99_F`U!C$_Jf8^$LdoRLAAn5D8W;S(?-UJ`H;1{-UysM%1QEi6Y*@A8CSnFO8
zG^BOME|uTjg`#>-|4ywlA$R4pLSr%&oS}zGQB`LYtX+0K{MWRa7l`r`bHVQv8Og1~
z@q)Acab`FTiOG#<!||S%5rpIn^ZxNSMGx<MA8sBNpk1S7pJLZ)9h*7_KQ249BJt4Y
ztsJ<b?0ZD?4@e7A_rTK<K!l_mR$Kh{0o!D={p=E9xfYuG-jPBd)<9j~l6%r})R0*N
zMO8g{q-wKr6MA{IvEuSvLrt-{+El~9N~T00P`hS)2_>WE&7}sZVC*5eo{9kt6<x!>
ze)+SuJ*a*a3UF%;P7sA>KYS|Td)jubC`jtB$>A+CFkpk?o~RBlHZch`Y{y8?G$Q;{
zQNPFhL~z&Qw)EHqM6_s)OM_Pg$Z$yr+)wc{Zk@Y!R*@ke9-6dTa&m{g=UB8g&ASS#
zM|k<_YQ39VOP^Zp%Bv%t^=z`fCnk0p&u<NJDrK)F!a&*w2ftOuFJg2}v*34zBALVt
zpH==#kZ|kn6>kZ5zdP?WxMwV&rqOM1caA%^Y<ey8?4WgA(OW~7Gtd@_ZCYUIqk4nR
zQuhA+`)>&X<sK&~x`+_NV3cb&n{Ox09-C9=z3Abm%MnOg+1lQQBWQ9ZrcTznheQQl
z7c)mbU$P1n6CaEIk@lFvuJWp3Pi`&x@LT`}wrKSe47&J2@AbWWqnWonQk1v)y&E4w
zpF=MTk@n>XPs;0oDdxqMMysJ~Z$!6aWnJy}vbdOn9?$`?841g$4xp2_QqT-_oRp$_
zNj5|Uw}m-$!Rz5k&s$hvKdsH@k(tScsVU?fhsg=ty}1v6ES&W~{HP>+%EwEX3`Yfl
z(9;Kht^A;^QBB897fqY`Q2hOOrN?~-_f+)1f4_&6S@ihcIYslIZ&~4MHSc!Oah7JU
z9qG0D4!!^I*+$_l7P$W+Bm$i`KFiHT%`|Bk8!hXG@}bq#z>C+q=X-&PvSWJFEth=S
z(fyv5z7*S?%8upU9%%HqArQD89HdUtsC0QgP01Wl6D&sNofGos?RnelVLfYSF(s~b
zJagN5zRegLp9l(PrY9=YfG!Ogz+t`p=n>=sQ{RAmf8zd7DC^3r<Si>nP2kwPiIFi?
zU!r?a_EtFQ5;p8RD&4FWH}&WB)aBvIv{SAfEhVED35uvxYXp3>ND?8C!8G>meT`aX
z7@vV#Wi_=@yLJ^CCi$^neg%}>*SqK2jd|ZH>FIbfn@qpodL#zCs=2`-vKypM#YwJk
zp%IbQ{#sF*JN)OW`Kw=<u%eAEFVlF7ghKN|#Le}NLSDp(YzDhk@`~|RSl`X5f#Zxc
z%rWLCXSn^EhL(_(hi{Kx6~3xz+&gU*W2nAe3gK{YS(coc*Py0ezr`h17^If_ZEVM~
zx`9duy>}Q9ctI_$b~v)TDB2jRtHAwlAMc`Y6dM~ShIoMI9OTZ(L`6y2R~02G<<ipL
z%LX#M^k*I?k2;}zoPGmFHigvi%Z{z1yJ5c%a-=FUGriSJJ){sg`Gb~PeM|G-&fs(&
zj8Bf=XUZ6D|4pq<)OT+vjv>vg_qwltE*ai6ND%K!PP#2lvQg0Tw!FdxU-n^OR8;Kf
zT7!f5Ul|@II@hLm^!k#$A$h;i_?*Phy2OiW^QiTxGFkxzsdN;0>kPAO%%J1pJ#yB6
z_6=hSb>P7LIUqRBlm@UldM&!rpndq5dzqo1!SCte@?>dUC3LtI!D}7?{CKPHaB|Y4
z)ik(t^H3Pc0`w}Q(1&Nsnz<<q5}Yvfw-lY(^)`p~#AeECUOdG3+@9VBE<@Mf|1QpJ
z+%5VIIm#-wM<s5!CklUWbXz_=>h`6n+uO^5_$Plv;L|4o3CI%y#7ymWZZ7?6|GR_C
z5S1SaO+E*Srp2x;jFo5S(hLmtTnlFn=MYG8hC1q@pkZ{M!F^<+s`^2zCsgj1DZ{u_
zRj*SyZ(o^Z`qyv90}>mir-BxfKu|9Xi8&v9hI>K$D7LvqkBs^L5@Hhkj2qwjrLd6N
zhypK3Qocini-)`*-sp0obxeCE0d5r2SQ6z$g#+GBM(XnQ?XsMeV>$HAjSVPB8`sDa
zV4vyfVHg>CjnX-srt(uzk;N;IB>L7qi8!L}lJvuT{FK1PQJt>!W6BfO7iO}}*KgqG
zrdf2hL{6M+wk=y<d;<HkMos*g!AFE<qSiYN4&V+H2I9B3<)s9%z{|kJC$*&h{xg(1
ze;MhodUZw$1}<{os#CnQ>s29$mRm#1sn!QLBbD0z@4|wEDJ5*)rwM8WKW(>K@DM{m
z%C)#{==Pl&vlhMO4XC)@ibs}HwQx5(^4}S;S@gZSx3qT99ehy#D7-4C3@!7drl!bO
zWkmSuGU2Bzszsuij+HU1rmcp=4*Yp<^cmJykg(U=D$n#m!$9XXSN{G{3+v-on|W*?
zGawy(z(c+$3XUyB^%kdR_5IGwZ5D@eM-hAp5#_)~z(E^M;cGu-?n=IeK!mvj&J)HH
ztZmpP4r~Tf*)r<tADccS+!;wB^o^V85M)F`LH@3pQc+UHW2!Kj$=iBFVhCGo2ORF)
zYNU6v=X4m7`CU_sq4E4D)vvG8KK%SY)jf`{uLqKuK)IPj(8#eE_en`JR!5wP?a2-`
z!frN)ijwlg@r*H4N?NM#WVE23gZnlc0@1!K+mbM^wuJaMdn?F?N{9KGab)DkrF#VT
zt|QR@G8OzaN|@Je8mn`pf4a+STD0Xq720>Taz5FR?Rb;J;m1LLuck6CBaiY(hb3ho
zFgrVU#wkfsqT4|K$UbWx%+}9#+IJcRhrFBrt>@uN=87gnAF%{AAwDraesw!-S)~;B
z=J=d+ye!=kBBU@p@=%m2nZl7e;}je&M5d~$3c5GH*+r+Fu?@N06KqWvbQe_brDwNj
zVuD0nJH6^+jvTaprMKx^OpcnL@o$dih@j)1cl3O5Iele*)W&XF>EXYOeL>#3>AgE&
zm-EL@qc0(T36<bC1JjM33&-6Xa0j6pC&#9^*iU-kFNP|Yek4AIv(-OJSw>;I&zycw
z8PV!_K2J|A4Jz77+?QTbV>?D!6~Tt(jay~uZONjKzkZTT)REq)(CQab%BMw_WVrp1
zuWEKVhP`9c;?9vEc+k2<yJmAWDbx)l$>oNGc0O7<Y(3vys;G+}<?9~(UoU{VoLW@A
z0~(Lx;`3e@`oe)T4Htt(spMA)hSuq+iDay#9l{5F_LK{9a4pX`^=VW-OircPz~$1Q
z(Cv~%+pokIIJY|v2DlGAc6Yk$R~jz125!8AYmADuVb7Q6p`V|H2g^WHi@pTk^5)Ux
z9V>vSYoEsEBEhOj_#D$7F@ggF|Jir4ZJPRNZzrWB5#VRI?oSbKs+E|UneJg;R-CV<
z?2@KXRTawCWOOy^>C321w!vDNziabF!~Q8K<TaP-z}SnWk!Z)`MI@|;Svl(XrRFF1
zeZ>%o-5u?n+<6_y#00G@Q>}&-vn^3eO0OLMKAvAc%%bLE;t>)iV0;^sK@;><fAjCI
z#gT#IZ9#ptdBOSKRH$C7)9RsDHM@bh_SL^rtAiA>M6ASKyl5sHhpm+4q*Q_omxQ&0
zK?MpL&=7!PW!C!W9co&f9L@QOKOy7s?zTA888r#`W1A-qo8M|PFrDou(*o1bD<V5f
zkz#P(ayp$we)wnLMXe<t>3#d-cK)u>Q=20SpT1w^5EN-1uaf>$o>PzKs2G9Ey(1*A
zXP7kSmS{Vj-yALQjXc~f>^>$8nx&>G*!iR;oYT{oF}o#v`ej#S_288wSNO3QK-<a+
zoyg8r0z$%X`TB=vEAEfS`Juk|{MV-#sbuCB7ORbJqAbFZ6Zq*0O!yoonzmA>L!&gD
zt_MlxE;K5n9}AjDerp7C{qqbRa=7c9OoUhJ3;+C99123x>Sbf`KAFp$^-kq5oV@U0
zv7y)nK^FW64d2zv^dAM{-g^X^di5etvp*yzAwbN<2wX{L9qhN+IMk*>G9ms+!&VwR
zP7N9KklfZ*5{RP4^K@F9<7xUp9SheyQwO-6BiUKZ$<o3%;>dGW;>G#lc%jS15E|Um
z0a;wMav)g|n&;(_mYP;UZV?*xX=$eRk;m^Srietf#1>}KO{(~wyPhw1Uy@_+2;R^X
zVPGuzu@Z0+K+vAnF5RmfcsgP81t+uX(8sLQ>wJt?()Xu8cmBl0!_=aEV!+XzerZX8
zl%!<;-!)>Q6o)gr15F<va2F!<XF)f(O|7h~O2Xfx8pHLkf9qO2txP}I`!@5(te>Kk
zR9-+p+$q;^KYUFM2jKjH-Yc%|Q6VSimvUa{4U<0?&vb>gcG;eF8Xw`dlw^{JDyNjK
z)>CqDncQYF*`~g4qGU{vs+k?#UaBc4rzAY9r?z<nus^kZ#q3wHsdQQPoZ9xxsDi9g
zB=jL|@qT$-%j;qzMsVeIsHU;6p|1rvf(~mUxE%7CQ||i&gOid$mNY4g@E|x8wh7Km
zQwvk$_W`#Dow%s~1Pf3O%JejqSv_y?<d<81)b^N^DoI)Na>6^eg6@wEB|2B6`9<$X
zK%jE2D(w;M3DOrQ|JEP8<~d%>xUQ^nTxyFbDK6oxVI?o3En9r>I?~iq^0@y>Dx5?{
z!;+Gdaa?IxG3Yn&;&J1~8GiZ8wJkTO(`SvV-uJIn%oyL}k;l%@2k)Eiy!zfc;gl0v
z{>lRMU=dEV`TZK<*S`|!sb7dU-d@k%h;%lB`}g6MPtc=IOs+u)rV^++5vHTzGGje`
zSuO!R|Dbjz5qC{h&~-KV|4KXSsHnfM-va^;ptK@>rBOPh8yrDVK?E#9x)cEk$&o=i
zq@@LvMo~&iVgMDyAq13=k{ViKsDXibHs5>iTEDy2z3chonLiBp)O^l4`|Q2Xe!ou7
zVS>BEV7ZLji2b4YNy8W}Ww)tsF*hUL8ul{Hj21r|sd?JaX($Mu^5QQ?&L-;z*Tinp
z@0wveW-DO%VDRgWaRCVq7Ee~<Jwp@szWpM|#KCj@^IStxUY-HXB($tSIp2K;b7OoZ
zi-4Xr7ZZEmwD`;*k%f}$P9ZIWUxRPgqml<`hlkjhmA~>0b@zKkncZ$g=5}<ny?1W<
z5<|nHBaBX(JB6cFW>l;9*bi(sV-U?Iw8wDb>p8iX1u653UMuXFv;@<z{8kRAvivhF
zU8r|%_|nxc_U4<vf1efA^G{pzZfN{W;hIUYig~(~m%>IZvMT0d{%NM7<w&1qsO!{~
z`8va-+Uk>iIY>pGx2&ZW#VCh`=U@v<&6<L@%VT9p%n_QGF9)rawFka<Yv_}${t>Vc
zqI%@1+uqAhF_XIQ-ktK~MkQbBAQ%|Wl##6@Ym25zwgf96)%j(#VHvcm`XHm>X6Bc}
zG&FI3{jy(7zaplXVcI}F0Wau~Xx{905FK#^zH>+81>4*bs?(<+KT=;Up?mFS>+Vcc
zN6+BS%0U>%c#J3#7O<`Q-_|n(hEr#bwMNo`JkdN>+xJy~zjB54?xw8u=W*E?8CdtV
z#12>5_caxGdMj5T-tc*dL=kA#X^f4H1;eV!Ey+1!G1E)+V_jOe-aI|66!_T7#BFfG
zoF7&an=M-cQ%gEeT#tdp<BYIXGnT9Dk(y8k!iWe40glu9sNk}OcgPQ>_FwpHm1n%m
z8beifUBAPg>qXL*)oRBm^E{6QFv5>S2?zH>tc~+UpO3vZFGntx^(^iFwNyG#QQ3yJ
zq>nQ+6cZEuVl8G226WSDsX~Z#8BOUN%Kc3S`w(9+Jkr^GtLE&@_ak+EsPtjqd-{9a
zN$KfI6D{3yho>&yk4io`Z$G{9K7=ZSqnr49tZZo^vAqU$RCKkjTz!+7g+t$X(`o1L
z16Y!l);t#Uz;C-mv8zAx@%?}w3;oq4C+TUJj!F&U5)x=@+5Rk4-SZek1_x6g6uoDD
z4?mX#5P`=NCHKt+cneT)w-Rb=()zh|m@qW<m&isImwp{&_}?>|ztQg-Sn1l@5~iq5
zFDyJ9dbov+7fS40Y1h$kp?&U(ja`wK%qU|^lyC45R7$r|?zziK*8;)0NVRwuAz92A
zy`9QPS^n{rlvj(+rYG&0xxLa6WSG{65C04)o)IHakU^y?>A)*LcJ)S#(l+fqTid$I
zAT4ce$-ShjqPe{eK_5S&s{K3;vo51tM@e^)hc!nPA_hJ#E2G2iJFC=CxieE_UHT;H
zUb1evd{k8IO4)L_(UGXtd}s3)OOOXOU|pO||5q)|Q~r9oYsy2CsMcVbn3(O10SVTm
zQ!Q3;pi%Nx$$Aw(>GqQ^C7MI5{DL^&%0jzB{LLn^fUOTp0(#Qs9|zvpPNPMw0ljj(
zB_{(;p`_qZ6Sw?aA@=w$eVEWCe};-aw^p-|a#8~Q26VH})~hcTPV>eGrgiM#bh+SK
zI&g*pzs=r26}Yj%9CXL0r20%_e4zr3X<-KYanQQ7DDMw$M%gkjqRe_S3F?5q1;uF%
zkRtEW!dgJn)2|ZCr|kP<V(=0U@qyq>DXAH2r`tCHGl<nwlxQhsiClxCw?UGKun-jX
zbg;AY8hg6v@*9*XoHs83)I#{b*BP&R=;CXvRM<~n{l6b`Z%YJc68)}3bWTO(Ikx*d
zYY+&nx`Y(O`E-ZMJ-Fv}Yg3O(ZfLV6W$GF#bcV`5^6)6$gjIP%ciOhYoIgu!E?H_G
zJgU(d(wLwn7g1<ZP{A~I@8ztr4t4}mIFEkvk>gc45!7f)2t>YlAuH9oF{^;1s;S>u
zjWF79YBObWo!vdDvsJW7Q|tM+O~~!65emKBi+}7ypY?li@@5C}($#tS(oxF+RGmnz
zYciS~R(*esqAIdlQcq^61UCuhR9D;8XV975UF=9~&#C<r`V0<eecZPk-<EOiwB_Q!
z3F8Ov@y}JCQJ-9E6p`9tcMH3oZ=7nPlc9ipI(*@cL}XF%d!tVsbuJjSro$#HlJ#K!
zV5MhjrA>%*fpb^U+aiyNPiPIy^QI<$Q<8*5&Ebz18r=K>=-c`Unab|BJ?{dH={wuS
zUMBqeHZhNis2497S7DfOGa{}P3w<=J*!HWjE<E?@QpZK(a)-K+(187&FUoXeI8xwD
zo^M1t`^`l4XI+d|{5)?iU2u=S`@w|siNtFW;t(AjEjszGi*em4<=H<_UI5+U)9NMy
zftZ;^legn1>_Ch*u&kJ#9#pfc*4vTk8%c|&U!BM)F7{k+RdhX=`IQC5PGS!#zVzEB
zRTbAU3baD$<FT3#s=g#SIW@C9HWk<BudaK#xt+}`c5glK5SVx!e=oJ(BT>3ngJe3W
zj6Wa}Pm39UT;0ujSUECQT*~ruV1RSnT{PQZ6SwuxIEn3v3dsrTpOUh!nAQFm8226B
z5;4oHl*uWQ?6Dq9KXqfSc6HdFWTtUXnTniD+P>?1!7Vd1$*TNeQkl{gWh0Heak=(H
zs|=>B?A;OfsW%|?<trKRja#N=z;7#Ecqy%3D(N-WorJ9xZ$hoOX{4y&*~Cpj&z70I
z_OLwqhxqqK)LA+7Z=`+ud7%y=6v4dtfLOyG$W4A!1v^^eL`qZiYl1v_L)b54&%3zH
zj5#;=$`}q+C8yuF%Sl7Oc%;&nXUZ(X)A#;rksiI>UU(%Rjny9UU3hUAJ~`JQ;n~94
z9C#&H6}9`rso&1N{yb@@9;ycErXDaSOgoR&$8Q}}?&ROFs{Zy|8LIYUZpNe^`+3jV
z^h3coyS*C6o5Di7S3_vu+7?9iKWeBF&kY`u6c1u!Y8J~eLK+;>&US2klKhLJiS@j&
z2$s)G?UT>+3pIT-W=`#*iCLSnfyd_CQzGn7x7r6EGmkDJf^VV^E?SZ@m-hHVxfER+
z=(>IM0ZVb_jQ7l1{Dt6hyN<nwiFO<Lg8F7go=aIhF#GTA?d_}Vv~*&5m6UvE-zLHH
zWu{25j&^<b2<ANG-B>P<!r^f3u^Xh$Ig>-DEBOWzrnTO^BPRNnd~ygnxfct9!scCH
zMuF9-P%9Mpf}x}Nl>heaC#$a;Xwn1W?R!Jsmm*`v>;3eM&koz}nWh-s{od${cbqwK
zy*o3d=YtBpS<Ry@+{%arP77))oyQtxS61HVy;k{bwcXiK`SJMtlaB^D4Hcq_szSmS
zHm(g>Ls{(#X~fyd>0}Rz6?B7sqdR%|`B2f~@cjgSJd&1pR&k3@QAK7W%VmvoNA<>o
zWZL=8IrP8JK0VEnrOI%U_LH8NSlUJRtWX?xw7)SKnGeAX7C<E#Zs-yk$LxK7w>PYs
zPqb?;EH3m^mS?JsxdEDIZN{1_`ikEfX1AFimRI<s+J|hW!u9u#9iPm%Rp2OGzIvxG
zMK7L<g)@G9eu-tQ+Br?h>8$8(8I-$U_#zOj#?Z*+fyw*$#V&b8LwAKd{TLaU>a5?w
ziF2(g%a^aK;G_86rUqAy^z-EReD|uWJ(EENFP+UNb9QAfdI@CvIsFSPVghHPIb^+4
zt6!XGxA(uJWlK#keC$D7x~K2!y9be4EQj*l*Y-_hcnLb%5Mbr3MI#^PNRyGRue*Xc
zROxc414AD*nYQ*+=s#ybKKz;e^eU9dB2lRMe*2xEAVlM-(9I>6yxe!ct~!MmoW_$G
zJ$wk2vL<pn5j{HlckjpDF*uXC`TTXxBYQ_>+dY|7D(^6EZCKv9bcy_YSS#@k%(EgQ
zx%BK(FMV*+{I1m0n%+1(Rnqn7*jV&7(Fl~q2?;p^++D7A)*xh|c3`mJ<mT(ot;s=R
zv0la3W{9JKsOy)Ik8>g;Bj3MY`B<Fkh4V5y3<-u&2Fj2#%*7>no6k%|gT^W6K^;=n
z@CtPPWMl~m3fCfrrR{`^7(Jdo1+nj++ic9oI;FEUd6SZp+8SfE<`Ksvq3YLm_WJkh
zWMtQ9glNt=4=fKKJAMMB&}`q+81Sp45oMBh(Z)e6T9R5U!dU)gwV3{-@!lI|;l)Qg
z#&1VH#r`#uFG<S#xiWZc>`RWPOZ9R6g*PgT<E}ebu2jfjDy+XX-r)C&cp>h1)t~-s
z5W$tSi^90i?VYl2dnJwcKb&+`%XaUc!>3Iz$l9yTor50m`b-{%#0D!7sVCzw@K+@H
z2K-OsqQ)U$8U?Apf!QPbN=5)>{p&N_FuRel9-EOMBMYz!AX1T$-8%8#o-~t+5k2kb
z?R_8D6{(p6_$O7rZTQBqMzTsudn+{)O3KRE2E(b(b9jI;&GbqE=gD>YiiSpW>K=py
zAXb1N9sb<kS&cOs0i53A&tj-<@Hr9j=O?Tf=MHyla-KPZU|?W4c~bSspMdP_32chQ
zY_GB<&r3o`NC=>$K=it?xv8V8dkR5m=*3e?lJA_u%Re59%gCtrKk#Lj!&*oJDb2;&
z+8yMnECM&RKU~+<b#it-9ia)GR%$t36i_`|KnDU6&`T!>IJ2OEMI|J-&YX!WSzTFq
z>g6RNDk^jF;w6NSpC2rFqc%DO5Ik}j94su>j*c1e@smqSA|vaJ*#M#gHUNECZb89?
z&vpX+CftnY6y0X95|}UMSD*bIRrK@Q=knjRoc*38wVe5lv7HF2tGzv6RCn+1-;00#
zfG{>GHC5q`JTKwa-Ma;ah4M;D!m(}jpFS}n0Yfo;55k04<eP7~hJlstbKL-5`(C^b
zSiXDr?scR?QPr{I^x;udR8;VaxGF(^e+LS?UxjMkx3aPt9UGhdx$E7?ej+qKe^#AD
z&@+V^=YhUHczp@|WC(<7=R}p`AiRaI?*RP}%Lx3p)SPENT}L<^MMcFH`Qgr!P<alI
z0d&3WN=_~{lmpa+h(lVT@_q>jYI}ys5I6Modrc2{K|P$2kpUWS*ZAxCfI6zUU!wR=
zfE6?u2+7W$KcDc95eelzh99?+QLG3`8XB5Mj~>BsqNhbvR7L?W#?APpy?tkU+j*#L
zaynMM%>-hCjc@UMc6N54OLqcpfS#UtrJb&W!#oJP&<9KAH}<XW#K2Qb)O+=O`-VXK
zw}hp1*c?uCk%~%7^|ZBtxrBHF+8z*qfNon}R`x-oZ&iN2)`JHJ-I>Y@3kx9kH9+B)
zbYL1~A}ul@VdC-z)$QGlzrN0?#RPy}LdTeOs{?Hk{2O#i<mBY<?v*C*C>#-{X5FCA
zJSnfNOzg6QZv4I8JS~?JXK!yG#oyHZ9;g9;3G3@~iySEUZcZOIy|BQ}%DR~`L8RvK
z0EssmO#=8QsI#E~K`3n6gkooyEzI`cTYOh~Gg~d1Q3<sxncahNoo)j--tx+dz+**0
z!6HE8MScL<W@~F}!H|X!KnUes#`F3YK&gvTn}Ex8c0T^~_6|HT(APxnmRLxojZ`~b
zMw}No0=w}A-~C_;<xE^GEHFAtP3xpAE8$Q80vLK76sjLQe5B9M&Uy4nCI$`>@N;~@
z3g^0IOt=*cQuW^4Y9el6D=I1g;8jpi5P8h?#D=7KMJX`M#7t|~0Ldi%=+dNM7y%k~
z>Kdu3Ne!f7xK8$l78{);OnVFmV8~i&d4mT^&Cvk(ijQY{0HrC`(+v$O%F4<OZ)<D4
zyV7N&PK&jE1%)zgh}74NCn%IkcF*eKqLid$>W|w*vqA${@ZBX4?%cf#c850@urO6s
zKp9I83JStt&~P<qAHce;0Y>I4uo<VGv7cy*;ZVNd=mW3eA9?4OB>=NQsd0G)r}fr2
z(S;y`f6UJp)rR)WMWKbs4KjKxB&(grl#F(H6*EYs(93}T1^j@i^*D-r8FhaCFa7=a
z(K>fSd4-3Ehr83UKz$Pz6l5Hfk(Yl5REQ9yy1Ke}%8kN)07R_61=S&77S@wps%`<)
z0zQ!U=(3Y|@W~@m?9Or2tnmhmqq}=0jIsK9W#oKo2%WRDGaZ|_CZejkT25X*YV|TR
zf)Xqi^wh+v5->4B?6K`2<w@<b9PI6VV^Dl>a4>bYp~0esV&N=5Yo&~Ng#srbt!LIP
zmQyu7G4b-Jj^ne^>Z+=l*YgYV@*1`{Q?Hd`AlidAQc_fmaD?jimF4BN4iX>$Pn<mY
zbyW;r9B>S##4x18{e{usckkaH;rw7NqGtSjA??fL<m;TDq4~j*12c2l%FYf48qqa3
zSJ!gLRzahR5B&TYu9?H2wrio(xaO^rMw~Ude_z`;Tpj)1xayId6EkIT7aJ{*k_>rp
zbRn$(7X`$m<;k^^NSjL?o%T{`C#a8wtwOa1Fh>g<oci$Q;wk%w`>P=7jI8hI>|~vI
zOx#>BTp#_5Asx7!j;aFgAm~!f4>wY%si}1?NUNxv<GF2S*5uI3>+X)f7!4%W2LFSz
z5_FV-larRfBzw9=YGMcG10YK=v)Y1ers9JD8Zd?VWURtADkI|`q=Su3-iHr>oO|m1
zYq~v_gM)(!2~tP^M%YT80UFcL+m9b*xVW+}ip|Z<nZwxCbt_^*!b>%Ow)HDr*0Dg{
z7+}4jq13MNU3Q>MRZ>vsoIlUPQry+<6IpoS?|9?>$i$&1G5gc2PMBR(P`hOc5zNfY
zynKB2zr%BGUBDl)_@t%RlT3mcGjG;ZRb^WF`}7eHewF$Is83!>3Yl*}Ks5m@sMxU3
zbLDr)AdH8_g@wr@x@rcX*Vx&?Yy+Nd1=Nv1V*#ti$Hxah0%Fy<32$TLbQ{+K7hM%j
zJ)%2N_{}Xq)e0Z(^U%T2hZp3X)?zU;GxKA?qXfEi@4!IY@dn5!%gf6P3oimk(%T78
zjZI73^74Z)f1|L_YvEJrLz-LnwvMSTEiJ9AbO#?O>rq~>gQcaVwJ|4#O(^a+5x_Dq
z3QnGk29qA4nL`tcU+&^6-5E4TkBy9&m>+$5rq_RujI`&SXwg55hiMQ1Q_oN+kTq!Y
zFRrX~0b&A+&B%Es+wsqZHjTpmbvo<HVUrr?QzGGvi%U!UM0`&T3}7j#3Yaa2hK9sU
zs!Q&dQ@9)vYtP?E<_@NypeRsmRPC|`m&FTUyg<bO$57UB;D}5-(e!M$)dA?b&d%bA
z9gm%zJzZTd%F6@5qIM?Jm$I<5R03uz07zfGT3BDd4}j$<jC=48VAa5ERpGf}ESv<L
z00v$qKn;N|1I!tCU|?xMa{`SKH6Y1ZeCkDPET}WPu-Iw0I(XkOwYa*vdV>`87cdWD
zj-;Y^eoOEK4Nc1`L4_0CkdnqmRb}OUHq7o<FlBPiqw@fWT6wNd)|b{Z`2=_ta!$V?
zTzR_or{&?cY?pbLjW2iyBO@czOGqmqW396o<!L<ZoB%f`wLKngfF`cD3;CuAqvy^T
z>HZ+I4mft>$saa;fpD}1&88xiczegODG@{fVIzPQ$0CSk3Kw+Le#0Hmj54}>8Xu8_
zL1@0@u+e914j@znYT{VLkB*?z&g15$?#x!5k;)DyL}`2(z9ddXeyy1}tf7RbNk2O0
zbe|C71$k!*y;Qp1C{c@hs*@)-u-Utrn1(dK(`3RSuW0!1Fs3p}qW9tkQ8{xG6ikK3
zeNItcIM$g>pC^}1d34>HOOL3Y3z6XqLzi)hd~j<8MVot!sb?k8QZJiPeKT;90Fs84
za-23*opV+)Tj%H`l9nPXWx=sjiHN>by^5oIlX7KfDf%fp+XWK|Ggxy<Ug4C$=1p>Z
zQYXp)Ct={kl%#XX;z|JFyN#L=o~`(8`1e9?NyBE8R;-p?oB}$2F{0=tErkIYPUQGZ
zw|U-mUg39v0UiN_>tqXXcxd?b5^io;3$<bWP@>j%@f<f1L?^Xm_D{iUhrF|=^cPN1
z+R>!ynY|Q1$4f;P(b7^>9`6(ox}Jp5uG75DL`9xPhD&6!#hT}d^1h7;3@9PPUkhW#
zN$_IAh4Z<&FE^vy-n=42eG|=jD}?xVS~6Qx(CLuZEwU((mO=`yMECs_Cj2q)+k(IV
z6*%>I!kh$eY`E|{Zf=2Q)Ko4JPUX%K7D0Stkj(y5q<P3|6;(7vOW{V<DIoPW0TW)t
z8yFbSK#r%0qMeoC%?f|bEh!&B_@Y_0!Nzn=^A=<3jb;=@jvFB=oQGEs(Wz>o)_dzK
zQ7iH^6DuVvRjQugZ5ed@lqMw=`Bw@Y%kf`b=6MLFOP2zmQ&C>Z$Fp_4hf8XlYew<D
zUL-`}uEQm{&ssFKJ|}8vAHu!KE|TL<(ao%qc+`(h`xZc;rQF!Te7k&fpqfQfP5|+M
z%SHt59Y-Z;&ZBV{qjmS_v^p~U9Ot(Qn$*Ul>tAUmDpGHFS=sUB+;8db?(R|BU#{#?
z16p313bl|34B5bTp#K!jmy^*#*S*1w7SK{+IzK^DJQt(QuLR{UZ|}UDk?$V1hCl*H
zNAzJZx0Jxqk;gl;r3Gmho?cla5Md@v61ms?Y|x6Skl^!(7$yPs*3i&!of_tK@XTRw
zga2#2J^Mrf4OZWOcQOnd5gm8$#1$zSnU`^KYu(DL4L<lQhKADo{F-iS@87=%_ZS>{
zb&q+*4{6}w!EeWX<}x2{({-MFYvF%nNl*=+KJDqLAAAJf4R92}e<!^k)3x&lj1xo*
zK-2Q`^#vsR((LScvpe_id#{eG%F0%4Z+k*q1r8t_5R#!6NQ5Y85vG1lHB?dDc%j6U
ziG7oSp&@wkTD<y3M#HIh{xdX6#WfcU+4f|q0)pyrJ~x&T39BqX>IM835>Y<94ATzy
zyugn!H=lUuNhwI1FOLD+B`3EHUKIHHDx9m}*^f6pQ%>yo+1Hnz1Jn8HN;t#PAsHF1
z@X;Ot|DV9?&A&0z9z==3w;Ubc1qEFOYiVUQwHXtv!o-vX=GUyjTff};%-OS6<@Zr)
zXjsS_9OP2=eB7D5^LH%wmLQ89^SN`&i;GIR&!Z>u0pkxgT#$8&Hw6o_VlasbBlnGr
zw60!_eYnVg-n|S=<QKljXCnJDxB$To%qj3@O;N<%i^%y5m!`Dt=C%wjc6OgX&E&4-
zuU}gbHfFtjV2K=F<f&5VH!8@Y+}vYqrySIJ=g{C~z?=t;;)fwi9aX+7MUG7nb;?Lf
zLm&C91+E3G?E+Lv(DQb)jy@IssfWi=<b&(_$5cj6?h2y(zUV?|WEUG7@FI;w2Y?pF
zgoKbP0nb^R3#jS^r34=L6bxX|fzyRDFzADoss#_F4>nS1>+9>;=tBa8MjwhHedfK+
zi!3TG7Lt+ifS?$>1+TxO1PGQCz@@g&<>;~DWfn#;A!TJ{A(%*zg<uF?a^zVCGMrvp
z1dD*eIr=Pd4aBd30p8%pPEPrbPA>>>41(veKg^fFX7WBlDFCYtoD2_+jyT11QvUxi
zI^ivR4z#5|gk7O?5VFGT{}oH|JfMAg0bKTX@1ml>)rk!ckLyR+(}sOEYVa<%=>p6!
z4Bni!+^M)h;?cJU>^pBff=xhXqP=~tac4ZEOOoGD@8(UI*oW)f3t3lAz<^+2xM6nf
z^Wb{fzp;y6Fwia`M+WtX{dGSCTyVT-aN!_|6c!O#uV)ECmRDDIfB)|G<jLC3j?3f6
zsIA2$*kED2wzgJ5PVR1lL{Q66xpf$^ZJ@W;b^ZrW$5P&OL~QIFo-oB5+rBhEf4{<}
zV}4%H>_=~J`~<>2@|GYliIYku@q~ow<G2$B8Alhz<8)mQb0Rvq@YfvWfTOv+wFNsQ
z+^DI)C8&wGmL8kQ<>Ifc9bQ;CSLZ&L$5AYr7DWgHp9f&=fXFg7?H?U|!RY4YB`+se
z(CYy1*?+_p5N}O)QBqt2UQAR}6tS&s4*zvbH#9kUK$%$-V!4BziB*VK&zvbMD@#>J
zH-W!TyrN)uTJ-*pi3tg#{)q_;L>yYtSCe?^3A^JZLY?h%t(9}YOgq{oqNhh*QZnuX
z6?ARkB;ki@W}MdkzP?I8H@kL?DVts-x$fIUU!MW^D6ZuYdgtfc;&ENIscC6-Kvi!r
zH8q9q<z!<M90gsGH-0{dLG8@Mg^Vs|2Zy*4cqZ??&Ej3PMc5Ys+LxW@%N!me+jUVB
zh`b?7KVt^Q7C3Q0Ish}=kJbYJ4&n=0X=%Q1uS)rWU~IjS@_CYxDCcdf#fifJ+%-xJ
zTnR5v&(M$%C`|vewz9aG@FDXeZaVGwHGG=Rg`k$^No5%s{-(c$8aS)N=h#`}`}f16
z;L%O0AH)6-ml4q~UI4TF2-#oiOWZ97aw}4hkIx#kZzrff_x3W83V=}x>~BUSJQGC1
z?p|Kz4c_Z;0t7D54mLJ3^{Y+w5N|a4?SQrK2T&uBY;-R4W3e{`S$_`?*VWbrhlSBm
zQh-Mp9v%)`CyeqXcEHlGDaQX9Y$_5$$9CaW0std@fX2lt@dH@-N=n9Z#~lZ}eS8iM
zRsr`H78<&@zpqYQyG%uY%{Kl$0pc}t)Vh|1g~ijSTNSogFtRg`{9zXbNY(v}ZRSw%
zegcM~QV~|`FGDr~D30xuSi4Ff{DV)P?*M-Ijg40?{!e`K2ej(ekgNehvl>3Xe*r83
zErwE_jj%L12@ynS3Wx=PY?gVmJ=+w*cKCHx7AF!)9RBaHA_y?ANWp&ti?cO<R#rHe
znKyc`a-Cvj{lmZp5j|{c0!bmn8{G^!*a)Sow|Bi?PhCt%$g=!Cd>Ja_JcK8Z41na~
z>ij%(6(Q$H>?|asAQXppFCb6|fm;WS!bQNhNvXh$#Guz3lU)V1mMWYsI<^`bWFg2F
zhFdyAzf&Io2oFL+I$GMbv_bg^R3$`z7YAPoEF<C+rDQOLh3%g|=jP<Je)|RlNeaD&
z@4rwiEQzmPonz;WUWdpQQUMr1wxjk}Y7lQ)T3SGL54%H5RY}WEfHDS}^xZqh-W)9i
z5Ac#spAMb)3}*NL73?HVzDtaOAp=Em&;{Dt+8|Bm;pHWrrc=U!)PC?lRY+)|2YrZ#
zIkx!rBJ`=Foge)Cjv5UKX>>^L0NWlGT);{r-mGFsO~u7D*<FCzg%3Rg16&X=MpM+#
zJ>VV0WWj_FVJ{ue&*9++#^3c`63F?5{=zB2(xRfW>gu*2%gW)6L*7<^4UUeQUPy#8
zu@zXWcXkGKgDa}t3VJz=UNbY!6zoyAbFs2whOW2s2&Qd7OF_7UzxBhW-oe3P28V+r
z4Wy2B%*`>dqX#5gM8-qfry;{zRde(q%}Su*X5cGr?(C#2y}N5`<KPc~+{#Mntk(+9
z_GFOSG@W`nIuK&Qb_j0PC>GB2Isz1dVmmv(%xwS(dtgA0pPzD-nUV1plvCcm&F}oB
zuP=cy#ff#}XV_2F!PX#Ve{7ZC5ujHoqDH*pFwS}xJmR$hcWL9~6fMG~;$3Fn!`T4C
z43LOJV`E~>5x}TAqQ@_RSM~~6xg)(dcUj|DM<E9S>5xhn`$vBW^1P7ji&(wFcnpW7
z^*(g^l$w#@UT4}M%7}nyEJgf*Fe~l)gA4FQSDW@fgoPbP76EPo^=2A&U&xSiYQ;`G
z+Zh9dG?aQpGfK(HwH1<qB?SM;`zl4>*qExzxQbRR#V!5>oY&K*aHy9>6SGDj3B%U`
zCt<Nzur+|{hb;Wg%80##gZDyTKG^<-opC>CnW?!b@RiCP2gMsYt;%m^sYIl}7A(-o
z%U&O)sVyxhAz@%*Yz#Z2XvCQqv`Nay1iN65-v(rVx2BdBylbdNQc#$mn=6EVgiGWM
zdG+)iVry#)dN^bgxEZy_5ScdtVVp8q)E1O&ySLe|XL(2-M`Lj)!!t}gR`=uAFDFMw
z{PuQM7sh;TZH>|VV>}C($&nF13yXm3`QNMfG_)YRi%8d=A|PR{!lF9>|DS6XhsS6l
WYb_%`WLUy4$*yVL)ck<72>dVNDZfwv

diff --git a/tutorial/figures/nd_spl_3_comb1.tikz b/tutorial/figures/nd_spl_3_comb1.tikz
deleted file mode 100644
index 8cf3509c78..0000000000
--- a/tutorial/figures/nd_spl_3_comb1.tikz
+++ /dev/null
@@ -1,26 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}] (0) at (0, -1) {\tiny $a=[1, 2]$ \\ \tiny $b=[10, 100]$ \\ \small \textcolor{red}{$\mathcal{S
-}=[a, b]$} \\ \small \textcolor{red}{$\mathcal{C}=b$}};
-		\node [style={nd_blue}] (1) at (-7.5, -7) {$a=1$ \\ $b=10~$};
-		\node [style={nd_red}] (2) at (-2.5, -7) {$a=1$ \\ $b=100$};
-		\node [style={nd_green}] (3) at (7.5, -7) {$a=2$ \\ $b=100$};
-		\node [style=none] (4) at (-2.5, -9.5) {$out=101$};
-		\node [style=none] (5) at (2.5, -9.5) {$out=12$};
-		\node [style=none] (6) at (-7.5, -9.5) {$out=11$};
-		\node [style={nd_pr}] (9) at (2.5, -7) {$a=2$ \\ $b=10~$};
-		\node [style=none] (10) at (7.5, -9.5) {$out=102$};
-		\node [style=none] (11) at (-5, -12) {$out_{comb}=[11, 101]$};
-		\node [style=none] (12) at (5, -12) {$out_{comb}=[12, 102]$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-		\draw [style=grey] (0) to (9);
-		\draw [style=grey] (6.center) to (11.center);
-		\draw [style=grey] (4.center) to (11.center);
-		\draw [style=grey] (5.center) to (12.center);
-		\draw [style=grey] (10.center) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_3_comb2.png b/tutorial/figures/nd_spl_3_comb2.png
deleted file mode 100644
index 0967e3f3cf7e167a3046e7d5ccd4f2caa820c5cc..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 27636
zcmYhj1yq*L6E^(N-AG7E3P=e^cT0DtbayubB1(6sfD+Q(AYIbk-QDo5|KIz*=i?mE
zb3e=O?Ck8!HP_5dxT3ry8uDvo2n2#AEhVN5fj~`xZ#_h4@MNCL@D=z6$w5lX83IAU
z`S%S4Nlhn!K*%A|V#2B(>4!_6y0QmEkW+VhRTYbr*w|=AIV2?MuZOB1>72Hlj@}&9
zP|ejHc8cpJ<aXCsze%l@8muNat)8jQvE-k4d?si!NtLhqVE*Igp}~K0D8-$0X<~wR
z)N}M=od6X+fSfguT*}DE=%9{=hbK1zF6fq;avwte<<)nIJmq37EiDcXjwn+8fuSK;
z1qE{f4$}c#4vv~>$^`)q*L_uAUtc!1sz4Y7EAVA$+27YbLDb1koc<!BDU>&^tfG>a
zo7>shIWRC#Qc^NBJe-h_Kr5RpM2>mt;ZsPdSUmanuk!np$GeN2!^6YX)m1u`AG33F
zTH4x?1gy~8#)!d&&mm&r9}7Z1f9CTz4Unbb<>gh#5?Gp?j29wDG;u%<!N$kGIbG{o
zT{XnVPwI)l*U{E?iXC`UWZnLV5)Sz;5fL7Kc6Bv8G_+V_om5p-mF;9F*=OS9;c>g%
z;?2*;m!6&u<O;cW!|X;%_RnDw&ry`m;Bmb^ob!FSo?BSJ3GXiRafcPg#>O7W5_~z|
z8sxB^wpnf_ln;A@6^rc(QFIs1QPkDb>y09_H#3`FTs+*`n(FDthmccJezLRkd$>MY
zT-1dG1O){}MPYoGI9O*P|AMq_AhnyEGBZ8xb~IlD2M1SHRz}hGI<$AArMcP4+S=9C
zH4K#yx{8Ggo8?7B<TH6+C>qh9D6%#%yt<m*+1WY9e7W}2qxsh_Ya^o^@Y_K_B8rO9
zMU+8}_{sinj6Bab!xIyy$8tnbkdc4;w8%(E{F$1nsja<U>k9kx=MOHj_#~F_5?u2$
zJQ8WbM^{J3H<*a#qnWR+JK;Mh;`$@-nKSu3&->$OSvl0gsIb9_LSJw8<50xx?(KO#
zT-%;~Y=uB5Vv^I-OLBAHdtF-4C(!RZkRu`Nv_-d*Bd+i55#r$B5E9b4r6j?Hi#a(s
zoL*glZM|}R7u_9nVIaj)q`F_El;^;u>*Q2fPip`PXlUS0k-fgTad&hS#uS@e6N*I|
z@qYuAtz0Zdadv-oP-QlZ?fNbVC?iKSY`NL<;&M+#6Fn3b9gOmek)ooAA;80<G5SyS
z8(UkZ*4DoY3g8AiqT4&}n7i?@!#8(#lQT1!pg0h4hn!eaWD^hlX(oGCAMw}qIHkdU
zoSiRz|7M|xK{W4(hIBlloE1G#8PFsLy$KAy!(SJ7muZz{ffEgaJ7~k4N&ZFBXv=yD
zG}PMKI-1EJ%s@dd@NXRwvvV{Q6dc=sKbssk;76G;(9yRW7Dh_6s%Yd=*`2p#>zN4F
zafaG3@iAc?9UXyvzVZ~z0Ox9MZVnMLGuxi}rEzq4sE9r?G=z$V#_xT7n8>Ij;Qx#Y
z`CU^pJTkI<w*>425w;U3!h;kl2m<EPKqukJ|M4R<M8~P1pkQlr69VZ9!*F+ZXQrnY
z;l2fTY<_;8l$2CmU7gqc7#7mk-+!jXe|xjy|Md7MMTIRGEVM-Y&QLg=B1X#3&kxw-
zBkJGDNtg9*B!2#u#l=Oi7PtXzM^)V1+&9NdpFG3AeH+>yPUC&8sI8qUUzpdnm%?W5
zb$y5g=^Gj%=5cvjUQs1+b$ztpxbeqzfrqPG5Ljm9m<2lmLfGxChd|-?hno{JK9Apd
zc^e(U2;NuwJ?AB5WygQM6KRoluQ@z6Q$hk#d?+a?2L}hEh`Bp=EJ|HmT$0heC@3gk
zIcO$J!5w!r>G}E!oB;4%K9QmnG1H|w2#_z~;aUw&rha~{wY6>s{{(hFSvK{Q29B)O
zcHz%d)7YMirR8326ra~6qHr`0tvv89?bFkVGpAY&jg106w=8epBBF2*N*#hFTqDIO
zOwG)YO}t4lFrx68^)L6QWW>d{z|Q<1&m<SjuP!g$4re>gu`loJ-Q2Dx3Ka$i2AK33
zH#ax)OG+O1CTKZ1>pp+}JpGADzj=3Ss~|tW+Hpf-Ti)gIMO0g_#Y;_CxMO-6&#nN~
z@jH}oQEFP+)YMd)&mG0Skl)79(f4y3LqqZ`N(X8d7KgRYkf7IS`vR-?2t_zaOnOdk
zZrg3=<eEJ_J>b}EvaBpDb{FcH?+2fro-WSMVPAcVi&Ifo$4imLn+#CoggWsL9vic$
zej^&XxxL+qF|(UY)C&wIoCi}Xz5R~)^Y&(c9MC7ro!eI_s{Mn5uB~=V4RA&FF`dtK
zG&K>4NF0Jha%Sh}JLy=uxw&3Kc)HUcJ2wa4kdTmY!G+dC@3dihv%i)T7S3sCAlx<>
z>7Zxneg($OUfkTQ)Y+5Cw(7pY4o8KDVfq}v1^aLG)BRQOAgPBCMa=PHgY)(fp%Mag
zI216J4}B(;g@v>>*6lE`!d{oVPzN6{X$_yCj5qeDex-e|#dgItmX?qR^^B@1f(h(~
z054UtiW;eKIsw!D1}v#bO-1G5;nBW1$Oc?hOpI{exEKlIXIJ1;OTbbao10YoZ@U-3
zWS@+U#Yo`(`$R-UL?V)y?%yZzbSjyG{!IIC$xDC-xJOI)sHUQ_;XFqe+;Mt(%H?(W
zRxp@~h6cFG%GTD*EaCcutStZYO=;wi&K)jF$w*WrBrGwpXsTcifn82%Y3azwNFVf|
zt~GcJ(vsrh{!wyfgI3*EpN8~wU2*ZAD)UibAOx>o^(;EaN#yA@dpO>nt~E3?$Rsfx
z6)l*!xLl@j+B<NiCne!u#CYEv*Hl+a$;fbWaIn@Xn0bn+s5nm+DUk{KZC0(&kVa{M
z@T*+xV9kXH2Ncuh`TW?>(!&3;K}AJ%YS68ys0e|)Wnf^|Z`Rb-ZY(GWxw{2{90bFi
zkqlnjdG>9;KQ<r|%cpalf!H==Z*65|x7@t9yK7-@{{lj8Zf@>%6j&Zy&I`g169)cI
z3Gwk%(K+POa64^d_CSmBnSA{(TxVxzbaZs(25r+I099Ap_%`R{tR2o(9cl14HZ)wF
ztYjT2Dl3;%!D5GB&KUSZLD<>Z74MgR+d$nsKRryRRDS*X(b(8HOTbr?6svEAlm;yM
zOQU=wl|x1mMkE$t+h7+TRu}?#EazjOqazgXsgH}Bm?<~l=jUJ8Hqg?VLnHc7?Jxb%
z60J10cR4M$#<S#;dGsrJrPlxR1p!Y%QBiV20(Cpon|_!J=1Un6P7@Mdy=>s(;wGo2
zLPNkdlMSlDtpf4OR`A8u-TlPkd0~0B;*-qBkH8&$l#v1GA{nE0<svyGJY3pZ2cABG
z$83lIc+f;iF4O=V;F@A$VxWmJWBGvLwc);c^__q<=*3Z1PR^j&0}BsNU0Jyjpp9CE
z{(*r?zRu6FJimVZI$3N`QB`$$e!Sy$-X<U*I9zJF8A@RTa13ZO41>&!wASa&Nk>PA
zm$zveUqW0wBsA0yn9GX)i(aKk_|Km|ff|;Y+`TV%jcjd)n>(kUv7p|+f1f*U@jDD_
z63gR-^%BK7%u_={16(%<L^6tWsos%t$2EL=dm90R^t8=`^39u^A3x0QFZX;RVIU5U
zj@-a8PS-Mp{Dvv>5AgH6+{KEK!ga+JTyv<0K|ptCedeU034O`G+Zs#)CsfObe9^VI
z$j8JaPcABqjWkV`z4Dfx{wvSttp9o8GnGR5trs~2wAYuTf-k3n=y8>mmD!;||3e#?
zu;K7SZDY);^lCCPGLuSD=oB%UYHHNrDjo)bt4RI+J$7vdF1fh4cs<Gc&(PZjh}aau
zdIP~!*dQ3f3g<!z+K8-|l%cZ_WSc9D<%K~ctZiTsp-oI6oSdSfn4|w(8odk8tv?J~
zU_~|TU=oZUPe$F*ox|OG2WObUqzf_)1`mIne>3mm1K`quale7U<%zAS1!ZbV&WvF;
z3J(VdP1I~4=<x6%nJp}7CX)va9u;D1A9{TX3DS8Sq>6rMcq0u5j4Gn0hT}y?@Ns((
z|F^@NWM2GcAEci@+v8|g=h!eY$@}V7=YGg#E0D1m1)VOx0r~=m;;|vRjt*dA@&|i(
zFE1el3<xB@Ah3pGwg%;$9{qYz^1z_5+lOR!=}AYSCH$ebXqJSe;8nxu^v44%GP3NP
zH;n=F9#_Z&1Q0bfh)i|#7ZAyw-WzqoLe-(RxuSd{Mv|2aEM@!>CCOV^jKu!I?UpQz
z?tD#jbr0$BvAxFH@JKs=+yX&T5=KqU;qon)J9>%ccz*|<w3Jl4ydWiF@ajF=F21Sh
zR&z6-a3q%nrpG;QettkOLdRz$!)G5%Tv)Gb6aK?4gwvZ9i;dZZU}_m2&vGKp_NxPO
zdSu|snRFphWWgx-W06sj@R5;%<!!@h2zE=*$Hy7Z!S%5zDRbopf*p}a(%1l(8_>um
zgNgjhb?W3HpWqN+7#Ud{DIk#K<bW~7)g6TC5-1EZXat1m;4ln?wKbm>JuSl7daTEr
zmC=xPYU=j+*GIRVBByt3vz1#rb>F`WA$r3B)9HAMdV~A>8S*4TjtQ&cU+;;NF8IQB
zSL@`CpsXw;^+cU10O#b?-nqV0hlK_4r7Wnk?>Joxm?Nt!fXn{@?d#hiA(l7(?b|n4
zUK%PRU{d#RQN4wQg(!yEUl60SFkTb+H^sbTMEmv{&TQ1o`LR&Juou0WqCAgMvl{V;
zM9>G4Cjn(v6|!#?osL>kB4kBRz#aQ^X3!c?@yXxs>73fa1~zE9DEVW-YXSm9H(9C9
zf2U|R5Ko7T9J0db{6hgDFtB|DJ)Ilo@)8mZrQZhs@{B@3F+1vib=ltH?bDLiDsX#y
zwlmWk1p^IbVHvo(nsw*i1<&#cKAHPs=Bz6$ct{okv9N*;Ll1P`3CKR-508jQBOmJN
ziG~dT_w0K{hMul2aogR@Fj{qWfJ$LNI1<4J)ZP6c!Dq-!84`_HEgmEE+1cv4I5{N@
zF|m*t4VMoAi+i_)9sFo!U}fdXIq+nw!$jbakdfP`OAY^^21;In_>sZuj_ji;72E#A
znX?kzzbP7qzSQcgGa2Y$cC34P`bJVxzY$iwbpP@9z{lT?l=ZF=qxBF77jYSY71t`E
zitPvXWA<Ofj2#?)7v*7AH}V+i-5fwtWZfJc1N-qs5H6Uz2YPx!WN9LJkOPsCp_!QU
z?m}5vS)Dx&kYQbE|6zdbp%jp$Q0~9wQc;G+d$-#RTj9gqzQId&bZIHP6y*5w?CWuc
zwvSr^##*qamX+B_ONST1tU;>0%j0n|`#uOVG6r-2nWERN^+gJl3*|FX6BB6yqRGSI
z0kC1<Bel1%cuPu+XlY5#$e6r|0*Q`={`=R5#sDHDCDr%!6$30b7S$ZE8{-X-NQ`C)
z3Oa9pD}uq2dHwqJ-rnBn$fqI|AgB#F;@><;jC!B12qy16Cw|C*c#?|_iwy%zx8e;Y
z<;L1tOmsB)zEHP<hetiIzoNW=ZWs{s50&2Hf)L?>70$r^+O{wHO-M+{sWVJB(my;l
zF+R@9!a^P+rFUNjy+Yn#ox$h%cV-5k#^8&n!!wF&(ZP@QmDa#2b73)9DS7x7@8C(*
zK=-aaXoqtYN0br&9CQE%SO`#a6ao#JA!#21Lr^*nX29i+PYC=$v(}pDkk04n1X2Z-
zJCXF@3j;*7a53!`uNuQt=&GwrI&j$*Tc4cKPNsg5v*Yr4)0EWVyng-tM|QTNj!wkR
zrUWmbNd6(x5s-Y0jR8b1^)?S5KX~d_$K6GnU3Om|B#9YitL3xJ-T78vU?5mUH}Jxs
z2uGDZL5d0lF=T-Tn?=ObG~PMtDm4|Hd3Zv8@5(lm;|KTO?#yG8AQ-5s39q!akH_>{
z@Ji6c0b~!@0MrN!ObtLg@VJA}o1RYGv4UP$j3l1{Eia!z*1rJX@9Ju}$mOt!n9PAv
zT@67)1I|&iF@DEmP6X5Ba(5gG3d-S^=NBDtY#E<^B>#(~P0SKHrl#2jg3&QhpX;RO
zBT2|vvBV@{AVPX1iptR3+(J4!zwNPcapR+-AtzIz9uPq$;f%PL7$ihQ0zp3?Vd21b
z0b~DrSO|nY)llLS0~f*J?AgUZGC_6$_35Tejv^mFKi~x5c;8LR{mY3yOHq~Sx6BU@
z%Ngq6u&S(G?6h6Kfrl(MA+-9Nt5B>O1#gDJpI$K#@Zay$4Uy~-qDE(;fBSxiK?VsR
z@4G$QproK!HRb%m3GB-eSvVTxb&X9;O^uDnX5DluLOy);ekAWS0db{K4vh>)%=h-U
zUu-Z!@Tr5L4eI$t$83e+ia>TD!u=&wo&=JK2ViEfC?z~RJ&{b<i-<t<UWayO6!Y<E
zHbm~&+G_8DY4(6(XK$}}G+g2_G^PkJ(rNKS6A=kWA<Ui-F4rfgfk!1pt+mJRn-vxo
zetv!i3{Z$QDS0Ny&>g>a7^<qP)6mi~>os0p?2InmiE^gM)>c%6fB8bdZV?S=m!ht~
z?pFX5Nbb6LX=$YZti96eYroRElu_uXN<Y=tw|lfu2a;ou1%XssRY|D>>8BaAEA8ns
zXOXj<oE!jh0G+8RD|fCr0Hy^G50A}!L<}$#Ij$Ta*GEH}8Xu2|jr}_|7M+;LL`Rpy
z=AIi&ZU;<vG8|0%^(!(XBV*!RSyYsQn_F#rqUaZp&A_7)V7`8BWoNg1eb(66cz%8k
z!0yfAoQi6N@H*nQL6PWCkiCkEN}JzP{_N35%TJ#^85vbL?~EKPe#suUa04^d)*eik
zTEDytA_un`;Jx3(sE+8<WaQUipTJL5S67FI!Y=@)<8gm!X=-Zf{#Hz}SXEC?50C=2
z|FI-_rKL|`Ss)@;Vc`FgF(R;GkV*nN4~UdOdbqK1u{}(L)Ji;~ePK$+Tit8O0zLzI
zA;?gH!kTFKq<sFd9zTIN_4S%EG7)iL#nbci%HO{U_`TQ@KE86Z(TftJzzP?Wk7b5H
z!ny!{y#gA~&d!$RYw8o#11wLD0T1JCE^tL4K_cF!b94lE4<O3ueiP`x_9+x2Zi01K
zfCd$8HEz#qQximTz7cWS4X1KoJBUYm)}TQgfTvzQX1BDo4Ez=R#s!!y)R<ievwiUH
z?k+AK9>B#$z}Fk=MUcn!18oCYA1|lD&>Z=HHl%kd4xA_sF7D>>u{;%aNR4$2%NxY?
zjSZmmi}jv}$V46o^h7W(%Zr;eDm>sc*8y_@juyIvpuVv&wto|VXF@_k;B1A_7;F?W
z`3PAIA&~6fzZC=0wE6}Itt~BI;o}3g57|mq>V5mY{Y{U5N1X~4c7I1l$K2c<py@P^
zXGC)p)k`!x3|YY4rSIbxm=D-8EaK;SIr;&se0mh$(BNrgv<8O0!o~IR@v#tDItrr2
zMedoJa$T%<1ljP{Z{Kj0&*6X>RKQ%=yHm9X*%z9am;gqk_i^`o@jF?-Q|jv4*xK$4
zrKo6Xa#>HmGisxJhamdS@F~Z8%{+wp1rxTxc_$JC5Wtki#l=afBU2)t0}TMAo{*FT
zvK1v&*7m6m%z(Q(oxPwSW?GQ_2>RSQoURJLPiZzAP6f=Bv$s2peV@rW_%EQv4%XHx
z9M(iWecE73es+fiT7+EK-*l+SAgqDY>K`2?<8mNJ56c_3z#!%0a@s_Mw2zNF0)PXu
zXWT<m9{PmT`1nh}UPVV^0`l?b$kxn^hLSRvTuNFR$+;%DsND<;bEs`eM3Ud9X}QjR
zMO#}tK0bb4VD^K|&*EZk9-c@-HVFfREFp4-w8&yrdO!(BM94@<AtE6uX=u1RI2fkQ
z0giNXYD#>$0{<HQc*O8I!6BFNwpKDnvAU*4iNa`my}7x$zP^5FXz23tG6V&G-GK`_
z(9q26&owoml%OH;NlB98;&K^02}0x`M>Ah-58SQV3k?mOpVwAXQ+s|<@(J2nwL{r9
zkPeLrvi}7>0sg1>*DvR*pVPctAngHnN;8v$%OU&64;lz0s@GXf(u{?`pv_PG<<pp{
zA$PrZ(4B^{QU2<Jx}#$S_yxeH7s1>WH#Ta2{P+_%L;wdMn&`)gVlPQ#*r8>*YlCli
zGUN*<D&l;gAinpP#lUfaOs!+8V+p7$RzixA<o4$2!98)%j)In&nwpk&W^4=~2*1E#
zipE#T{?y2{X|>_7!5u|Ee|C<TG^>I98~7M8k{<h2b*CkSP(SfE0<Lm02+NZ*GYkw2
zpY|1?<4Q{2Rk8ddtzgo`U2u{gd;>g!JA&+W0PX+v>(|`KAbx7<f|HdtfXLK;6EBjq
zKQdgi=$zX2$db)|LxYerGaIO>g$yg)|0aGn2l9)v(3)4RHfpM>Z{NN(wAzA+*x%pR
zZ}Bp^$b$*^6-<qv{_>Ue9lnnapcN*kr>_AmHyN0%q^b&(1JY8Gpe;j?ewEjEdUVuH
zMUe@DL^gO%5JPro9x-vS1gsHb`20$6mie|;O;7K84AIaS79uRFe#j@N!47QrZ3EWe
zIj}qjJ3HV?jRfT(Lgo4`fSd;<1~C#T+SPqSX$tr@0!4<3w_pa4o8rY8Kp^O02NQ*(
zU^Osi$B<jo7;N%Gcfslcaxfa%n9)xXSRPIEL{yfSuTW?7x3!&yT?j4&HVA>h!Ss*}
zwQ17o!>y<%+ujDC2Op7-bvXUj#7SG(IhH;|ZY^b5IE5nluppcryk&SsZPrG*^mX=?
z&qAjYm}B<;%z+E$p!xykAg~8>4E{IAY~T|ai{v|Pp6o8af9u(U^*%&kQaU_GFs_3G
zpvL<rTl4>9!=q$*G5(?n)EX}SZ{B}nfoyO?ZOP=va4WUl1#2)o6&C+{T7j``Fpe_;
zv=puc#;*TGhbGY_`Q~W+;!SZ(mA$%<NWkGEL@V(>DOeIa9vMEyDuLzPz;fYAyofHp
ziN9$9RfJN#0?X-vDU4^p6z>o|0VAaVOwx+F@%$-N#%xWn5W--GCgq#9M`N*0po;El
zAcf<9duA2S_0##S03O?h+y4_|_P;q0hT8PRC{V!QMlkry_CJv!*Z#Z6*kga8GU_>j
zY}5Z_GsDUSq?HJ5F<20L3@oTw_rC>mf%!N{J9N|~z_Np}$Ny;)5$xk#tlp`u%=^~@
z*>M4Gn7iPhsemydhl7ik*!^!T;lHs{9eN6#{<dNw>nN?Z(y~A{?1}%$=FXbz4_CsA
z>!TyB`Tu)L4W9mZ_<v8Q{~L=2p631UsmZ^w|L19-T@2mlQXQZ;>3@%7|5F@_4(I(A
zR;-;GkWQHhNZ0(IbVY{GTY8-DZfj##Los%#YW_QF?Aez<N$eG%3zL7k==e_;(4dIZ
zyqoz?7b`#)u>a`-8e~*6jkZ7+-T%hU{ih4Vj>o|ekgwVP;{CVlv;UrEw?7UR+tqg_
zmD>G1h0=5XXDwyucwg+Ebh;bt^ug#fFnUIA{(q+Y-0`@;t$AuYRSML3K=Z#TSh5VC
z#bHod-!-a%%`N?RZMF%A+DL-n4DgnIufa6hP5n<j7w|t`T^n}Pwb;%6Tgv)>r|bzi
z@&A+u;(Ttd2;h&Pt<VvJ01&`?^-9U<0@U(~Ua7*jz*Rqc_4TdhJ9J%z?x9bxz5k%D
zsyaD7zGqPs6a)=`9nx(IqN1&>t+O**Nq@B(U}g06m)rbbGWor~vV5Cn6Fia82RtWS
z!q+h@_}i4@`~s7F2d);QE)XWZedpo62q`=`XHNK7Fm3_rJdCIkC>c<YqLQD=O6u?s
zDd~-Thk7I&8cal3KGGGAv)?_2Ec6TvX{o88*hSll!~gnwVruH^yF*V4O-%{6#IDIb
z(WwWF{qo{+HcjD3xvT8_%G~T`_PbARYNC3(5rrx=TJs}ySvI!(#@%10Z5Adc0W|(#
z*d9>!RA{INXwxKS1He3gJAVU8s)>n-vHd3S!5!Hk4^dMqsH_AfYTEBzYY@B<pAO?~
z0pQW#;6loL47O8V9(zDxZ0y|W=U)A|HczVde5wRU{Ciafi>P}FQY^LL;yddqkm6`{
z<`))pw4U6yQ4%mOPG0=+us~^9D}@keh?e2)B}bM?myfzq#b|bi*Pf+xX>Z&2@A*D=
zmusRw3JR{MWFqz^Y(R`{bgHF3W+bs-*B<(%(b^knZeli@s!&U6YL&~WTccoL*W1s`
zAU8DP5tELIN3wRfTJN_3U*)&~VrZi+FqWeQVNl?RkDrWQ=qNYVH#ITSluuvOP?|IQ
z%f4OJ^6Ft1jr5v{G3L&8xGr_`GC#_btWv;4TSt3gxGv3xqhZkRC8UrcO&m;;RIYzK
zThUTdvgp;gHJLIkD!Dt*-|xsPFRf(hg?wi#`&cE3^=rCB_i*3L&W`C@fDV$t%U_FX
z>zOixR;PmIlErzm<N7moN>mAYx?%?b5m#4JH#4ipg(PN5GC=9rEw5X0cvk*4NBDoR
zd)>n~TqGx*&u8;7VUSk{ZN2UP_5$EFjAk0<fU_s>qHys#?>$6tWW8Bw*1hjl9<|k(
znw*4vUr8m5nV+9;(jEY%O3!iYcACJTF#v92qzvN_4IwJ!K-B|CcZ1d+6+FqhvOb3j
zB2{JDw0I7h4fZFl^D+a-0r=&st1A#^|Ni~k>4AbB?s9*)m#k5Kn7%VynURw-r$FBI
z7t71cYr19OCJskMy;Qr!cfsw=lL4mYvp6P|fPi1r%rdIepTDL=KV<8+=y%+xIB6fI
z1`BVx?6l=;=T|H2*1N+WqvkSi@qDDI{x0h^$)H3;md~?z%_0)6rEgV--WQ%xl^^)U
zm6k*i3(~}XBs6=2_>V{MFVkgYpmVNqPvcyY7ne?WF%t9{@xs2k&0iU>`8Ct<PW$a)
zc=9P?F)=X_QIpfu$Ir{nrlS%tl)jdPIq7#`U*&nmqa+tPEnZjeZ%m;DFW{p6v0#zV
zk<Km`K`9WnuHYaHmE=uy-+V5ml$pf9)F7>u^)Duaa~wlFyp<s45Rnv4Z#Nm=jWdq4
zp-Z%;RT3<or{}aJ@3K2BEggfVHRjff_rk)Mpu*DaJh6TDX^8)MkxN&@;M87NQn|06
z7sEa-w&PB(k=-#@)6A$NF_;c_;E=nj2ElT~y@Ks^PwQ_6O_$H4ckk{OSq06_ck(17
zkxz$qI9~+(9=n&8maO)5lf)S~?opoBWu+ZEwot+@E}ZQU;0OuN9`f)ff|!HIGl@Pd
zBOzU{RFqr4Ke0cNFI@4zaN0V9fvU6PX4ZY{mPG&y%7|mm6K0&f1-}wYwtn`tr{zz6
zPIE8Y@p&R};r$|Y_%)wW6PgZT!lL?!w^mZDb=KQu29v)7caE!fsB<Uk;qE?DyV;^b
z=+7qqi}G7s_Zvaet$Ul<N(1r&_>lx$e486xD;wF%o3=j}D-^7Zx3R{bNDhxUxtW}@
zI25F&;N{0&?{n&%K4~iBl3aWhBL6~<8k4Q~)_G@$gvVjFwG;tP*=lt$Y*g#Oz4XIt
z>1MB^pR>Ntt5w90w`ZSjOl4kftt(opN~3?Gr56?d6!5+EfhyQFt%i*FSlZj$+ZhCt
z_cdJLFXAz4wOWOxJ$P}iy_}in6wUT7pGA??xK8|#pCsX#?CblofCcazDAs~pxw|Nw
zD~SBz=8kyDe|7Hc0#AY_w>0rGevj3?lghU=a6*sx3Jo=Me=nRRnF%c5m-WQ(qU}2H
z@c32ySEJ$lpom(^D$h!3;53VWPD^0xvtmn*9x+4^l<NSCbODd%>FGJ5!V*MIO2o%>
zt5@&!(D}AXDVP7kbZe7Fp^B>LmuyYCot4$k-j$TmtH-2|1w7o0hjYJfmY;U=#h>P?
z8XKKXMmS(<I6!RTdL)1M1I~axVSl~eP|9HHX>jI?!~BANPhDzTBpJ(V`)%*-YLgiX
z&|@J|7!rJsaW>y<Afes;@^@hWYmI+7JE^V9es%fm(`*Ahf=cmZzj_>+oP^D6tNiDQ
z<!h^-KW7*h_?FD>_f(p*?iQ)DXJ<8GU_=>+5VE@bC=@`a1T}Sn$__LF`g;(K#0!*p
z`SoRWcmTVQ+xm=rkP@a*)~k9B2PwMV^EO{mdaP?CRI$Z`#d789#3qt?&rZ(ds=HQo
z^t&&P86qSu&9N#XRgUKw7ekYtewW<oS%rukVr*E{=D4Fhsz=0<@GpZ&NU#fi7A>W#
zN%`}TGTQUV`QgL#^72|1QB>n94^iD;l{hzB1HTh}f`Pw?|154|!uE&k*~;<KRnmOD
z6W{K3-VGAA7P^_fRYWt+M9-AIJXHbBV~wkph;j2QBl2POKc8VOxbi%<=c`xM7id1i
zwA|O<=Y4sKh4IQ${-V6@ru71!3I4N~`&q$<5r736xpl(AsuVhm8#|M5i4F|SZw_za
zY+XCvy~F?cxdinlZ+Wxio%F|!hvpk`et*xW$<ng&Yo{+ML0!io;T!wak?II+arW&`
z*1icn*>w^Yt1W37(C^vm1unP;+Lo6eG6f<8T$wOYK(mUC%I{=6paooH)5T=g@=?8w
zHBw_GqaUlf$l`}(BUL@Jtx)(PzZIQ@l(h6%r}~v;RU96ietS?G{HRZ^dw~-KWZ0%v
z=#1wx8X_v6`!Vu$95ap#G9Cc#t1lb|he;&!D88>eX<4teOg?+~PFg7F#xmou!AVL;
zVBYEDuUyTSp_dgEv9L_Gy<(E@PYT!i^2MX0CuK$Y*>u|HM8IR=Dq_gvk8B6X$pM{&
z-y6gX36RJ`BV_OMU(l}rZ8N>Wb~La2!hNokCj(E9`!{HHKG=HW5mV#!ClzON`7e{P
zvAyqK*L*Qb3`RjgDU_`d@IXG`Sc%ka^2qyf*qaf}OH3Md?U@cb4;FYAk;C!w0Lui*
z#@x<tJPv0a0r_IwXqk4D&YecA+rxeb4XJH>9@l8>ZD2D875}KdJrnmE(>EHO-EYBX
z@Ru{KPLDj}(Nh2V0Z?YZ6$O-zSJc%(Z5iGKnE2Lt_-}cL0W>rW7hh}F9q_7895wP;
zO^o0C(DhdDCcK#`yD0Se@S7Amc1AMMnj8<7195WEKQkj{*lix;Vv)#gJ|7c|gHmfS
z0@~fl_5{>ZjW`Jk^J8$i1g)5uxa3zJ%rZ}JZ(6EePqG!teW6=r1A{ih``r9)DtYyM
zmt_BpbUbuolg)aElz_Ygk>#f8<nJ8U*UJq1LiO#<+lemJ5avPG8|4y!gfc2@GiLQ7
z(v10CpR3`n*+|4m5Kr*RoHSS0e=mP(0p$u2FR%OfVii)cm7aMX1JX^ufrWZwYeyx=
z!Z^X}yCl!yqY{HJ4xI-SF0d6D9H3mStb3n8j%aLba#&{<k^TDi>!Kh=S44hv75+#B
z52idEJbWlzNS2_B7C6j;veprw%whsYWC_gtHnSH7VSL!Bc8$$4z2<QPPocsklG#mz
z*WW)_jIH_yS2Rr~IX7_6A^7tBRaWWFMaCk)#5{gENf>StBl*%!?!x0(tRiyGTOkEI
zGyt>LMm5BAwWX_U)tR}$`<Lx6*qP)=Cco%MuZ;%lU{EI^;1Q{-(I2yX6(skpS7+Bk
ztS?%^fMM(T^pE^@Jj)f&MbF3iUo*-Z!NX!$Rnqx^+|5z}|Df~)x_u#@x-rX~p0^AY
zWqj2&b~_&tX6_>J8ou&G%L7m53-i=83gbD;ia40e5M<Em6XJw=aE|~w4zaLoPwK_K
zIJ%a$wa7Oz>VJD;=%kG#ZfSO{`%De`*jh(cjb5iJkP70tl4p<?#`W(JV*g`d9%@N1
z7dOM7*!+hZIS%Sd6Mq9!OE%=zSI;rGv3WPZT5_=hCy!D%tZTylSGBLgwRlJ2<jwaj
zfrn;s5~(l?_W9^Qn2Dzo!_t;Wq0OX(Mv|M3Tij#|DZbxVMSD_gN(dBEtw~WB#AV@I
zD2{*`bSWt|(RH&f&o6SBfj=4ghCceZvfYM@OwIrO-M=<DmMODkzbs$POvH39r%CfU
zt8iK1+HJ4=y4cyJi*TUEK`R&|qG%_eZ4IYlYY@<hyPXUg51wac>~$Dpzy#SjbLB{u
zA}P=>A6|OSH|uJzy*Doq=H@K@Pqs~s4r>@%pQg@cbtC?iJSINjhs-@bv_#@P^YBpb
zZ0ud>co0EtsI1aWtMEUcb{jrFX^S;D9mH1SmgSeY>>9RA$;{BLziN2hadYm7<GfBG
ztN#LsZ=PTm7T!DGn-ARgcMJhAljj4{(>Ue}3Q4i+JR_Gkn^j@VvHgTLSx+_e0Urxu
zC)jEqzxQl<pDpGrw>-r5pX^&%dlGd_*(N01MT71LBZoKLPp79O5sR#8KE8IkO3I3|
z_sLgzkvABa^ZQQ(a>FL?34^Vn=x{$;I?}<%+0)frKGsY~x@E;D#@bm}Y1SH@1#P*#
zJU!%_V=#TN)v7Tmz2j4{*<JxD0Fzz=L0UiOvmEr6%=3qnVMsvb-*dqX4ZorLdec!F
zyI$7U;x-bgfRtQF>-3)@3$jBPt?Ah<_{(wN&h-2VO;{~>2MaWj;Ww6jiHgEER1I>v
zJT=;(n-C`v4{J_*u2~)z7fo52uJc}eZg$@(6B5BLN#nFD)B4(jZ0X=(=w~EQ8VL`H
zKB8;#YoO)kJ?i;ou8T&&Oe<*9=kPw|T{^*?)7`*UF<U9<ee&*jS!SerXXID9tT1fX
z(L9!Yy8qLPG&J>q>)`r`yjJ09piP6xAoKlFV%T_3$kk+n`H1nc1cW|e{_pHNyd&Q`
z_CSk6_kN7vn!X79rymNLpjTryIxfyv!B0cOp!ZQ-PYn$cZ4f_t#FeID+vK$OH6VC{
zC`I;oNdv1&ZY1B-WSO?0#_!k9AJCAubnmu|ismlNNx3|tk5mK&zs2=$F8iu_w63ko
z4MiLd;i`$WJ*Up!-FZ6iFviFAE;1HMP|CU6>B#4ev$*owI4DM^p&7J2j$*Gb``>5h
z<mQ%^#b~JR^4QXRz^_;{-8y_%0%(AtVb;mKL@|n#H2KZD&<K3iQ5Cl38<m5?Qf`(L
z>$0j027P%$^O=uzHG}x2vCsa)th}^D5JQ%42W7G}-Q#XD=2<+>$SOT`yzZjui^Lv&
z+`%1)4X@@ER|0wm4~V|sCf`}MMr1&`cpcAJEUMTKFA5g{d4NtlBqM{#&D|i}2s4Mb
z;`jXW#qZ8)o7j9A8V$WUHlDzHeG)A_ezNU(hgpw{&zvbOXPNqsK>dugPWBc9Ck8Q9
zH>2JW$&1Goz1g)5s+?PyZYy@}4(2Fxn~NYj4I}s1K{PJ9`}Xk>%**qJF<ah~QTfF3
ziq|!wZ&7KP%oRLh-Nv_sv)w-PQPu>1N`0~U(RIh+6T!eFV;ud5ETrg8X}wcH@6AOh
zTAifpuo!FugvF*1fyr&P1sB)Z^t->dOt+8Tz5b5`&Vy&V{)S00iFXsOaMRD{;7Xlz
zmQFOcB#w8^HuMh$a2fA?<b<^Ud8O0p|I+c{r8UC;W%by9H;>WaK)~TtC=tPti}=>R
z>vW#1hM827QL6&6ynTagX6~BJp!M4^%gZuGTbu8w7U`d-^f=e&p+E$M<+c2L2;}_y
zcJ2PpxyOfv)W{DUoaB)rWOB3LndEx4`TWjtdGC@W@{|S#J(ia#E@U$6UJ9y-+yOTO
zf#|DGi@7I5H)Z97#PshPWn5Mq1Zh=;FQ39ZxF0W_P#$uw>uPFR+)mN*HM20#UaS`T
zhL5TgIDp3e=Je)@*6<*{G&cXB;t(W9)O(8z`S#!w1iyzf##<)>j2vjlJ6cW2<}cmy
z&jrfGE<71K-b{cqE!_0u_c0T^(D7`399wI&i6XW&Gd5i8Pg$`fphZuwO*cN<nJ-wB
zypM}PIvWZ^Atf#0)EoqD8SL5;67cptVb)2$-{t=NEc(gX=9`3T%`+Wz6vIU<zv=rq
z44rMZ=2K4(%8nS3#4o`3=v?&kwLRV*5p7(C?|&Q^vR}z>%VKw8U!Vkv#`}u>)AwF^
zaPYSZG(abeh{1L1UBxoAe^S4xs3@8H5v39Ej+b<?WsQbndm0Fa@i!9raF^KIlfI}%
zv9oY*yN`L3sZSfw(9p<N?m7I@bwP#S$U=FRk08-*larUNa84b(HY7&x-N|spQpg1z
zn-$J4AN)RyjgKAP?5m*$k-wuRr-KNAET;zTVV5@{CWdd?2K&NVLPo|3yZA~6H8w6z
zLtVLN#BV8PG*c&P-M3?<2}3K9Mvzt=&}TMY1131vclf-E=0h@aa<4!^qo?_6iY0$o
z-ApTOTNQzQ|6^mwIQGr)_n!KG=!lZ<Al;$dL4V%x4o>m;Wkv5vASNzd)13Y_Lnk^@
zz}t!^ve&t$D7*g0&p$4Yqe(kHx4IfS=6oOD+WweWiBnlAV2!i?B>KtMmw!~0QFlE)
zBV+hH8x<5PqKpk^rA-4E;e(a*)VRfNb}j|jC=1FW%`DhMFKL{HG$Zs|{B#PE3CM6<
z4zLF-xQIu(CcMWC`AI3(($9(<K{chb51vsgC8gFm!^4{q)LCxTC+3Ua12WIn_bGV|
zo;h}%mM|*z$(M6ZgYJasbKX%nMM&4(V}n`p2kTd|tMFGd`I|m}`ViJexwF2bNt~aG
z0AaM$Sl3_7{jC0Y1IRV+A-kD|k26fue;se@eR^=Kk@V8?<^5~)u#5S_JWdbIhr-vd
zi6Zs5d~Bka+3pfG68R(iDop};F<7I>KFJp-v!3^ZQXAil>1+G)(w{}p5LCkZiy?oa
zG($u7+$5XwBxd81A6k{f=>$o*n^Dt}_+ee1HU_*FU*sPOkz4Vazk0No-q36h-MG4x
zEITY+Cm5rDCr6i&QTRj$1<ZT-Pp?9C`e@e|F5*ZFzQ&3QD2SqgBub;Jw4`L6M!9}G
zGxs*0iWWL4?}*bO*K`)T2B1U#F`|S}5JN*QdgiF0n3b30S<aosne%IHVsvw!#q6A7
zEQpYGQ5z=ddsP{oTJuqbyLihV8=B~uHt)?UrD>_9T+oK)zRL|iersoU`@9y@YZQ_A
z-0`CLNZHfl*=WDB7Q#hrS6yK#`UwUSpsvv5a?y#IkyFWU>U{3>L;LrS1nCVLg>_4-
z#ZHT}%WD=^;#VX@aFFb&8Ja?B?u9cC+K}OVODbhziPwRDn!S8g?;!T&B)Oaf<pK6K
zHu1fKJ1XY}d|%(Qa^zB8o>!h<BSd8w^0+}Wld)R=Y$I9nc1nEuwi87OfqA@rrldI^
zPWjb*@-c6`ZKW_OOOrGn3SwevHtej~vykn7B7o&^v0j%-4-fIa&JghOkhC~;^%cd*
z%riM~Yu{QNC0qU@&N(^beWIm6UQ~WHJG`LS*hsmqzvAqS^K>MH7!<Em{J41SX7!Zl
zd=vDm)&CR3!Du3q5#Q&<lR)5S)q%}oBY_|7!$DG!JCf^nv|kFOhlM4LGrrWLdHsU}
z%7X*21f+tMmG9N!J(|lm>yye?hA-4O)KDSvM}jXmfu+wK8ggHP_%5F84SY{8mxBv$
z<^}4l<2dc}uGA0XF81;uo$Ey3C5QxqhE1|WJ>Z&eDwa5z5iAZ+6_u5EoThtMPSmsg
zPt)(%;0QL2$~R81m)m4KR_^=Sh36j+p%fHp`7ol4JuyLB0(g_;@c}!t_Z2gB4_w`&
z!sn2$e%2VsA(f^*KN-@V0T|blGrcys)T?VkMGs^6Sc>V2tCye6wQ_SG6Wx@|b)ixI
zBC~koxzSON6{k7kQ~eZ09V_tyb<@eUM4~-QFr3^(Sn>cMDEb9e;evhP=GJD#nFeUf
zghzc%zK_Ww3>sySeBK2H-F93I7*u?iv*E*I>i%R-C_AI5r0n}dBQdE2fe7j9rYF|^
zD9USxE$-|TF@06BvLi<fx-(q86h4blyrug@b;Anki^4PX480$>TD((P9QkBk;_Nj1
z+arPPD}|B2{)ShQ&(A}`5aYsts0Tr@?2f7Y=>&-O1xXMWL7y2NiZCXuD-noTbacxn
zzd$bvt4@evU^Tls#h$uJzV{a%*zuyDMS$V8diWBbn5eEs&Fs!D;*-i^Byuh}{eabk
z^lj1q%YoURhMt_><Qo@j#|nF`2f@C+zU~-($J_gd8|djr4*xxhL%V5mefm~MRcNMP
zW!jE5Z9Vg*b(C4iy!lKHH*=rfEy4{>tw72@@tQMM&N)W+9-aKou52`pg)`vHMjrT#
zgoAt$!NvXlN-uS1;Ao@@&wu!V{;)_asA+-waGSZT<gI@eF>SsD1Y%my;~rFgH8bg^
zdAh*(v;SoMeP6!^w~x4K!!Y~88&OYPZbdyk?v=paL=@<-gO2f013l@xzlnNJM>a0^
zNY+#GlDsz4oE*;=EBtr*mB5tW|NYBgOH%M+z%S(a@!jg#?e7<n(fjNxD$A{^qcMQ#
zpAb9ee|+vRH1QkY^1bW+lc0kd_B2gFeoV6G>xHeaAE>P*VBfgppy#{1oLkl!83nHo
z{l`dvg!@l2RC}l(r!_j}bc(`*aD>O}t2Y}P=vk$<WcD@|%|w_q473Z1E98un8_nH0
zt`~Cgh4s{Mkl)qSWo6sduxEEFi4_%!*SjSpZv{PFG>m<Qeiccsv^~|1DtlS|O^A@h
zZz^@utv|%Lxmxz-`-<%O=&h-yR5q?4hk14mid_sJwn)Md{09ml5Q+UWzZn|jEFuj%
zfjee;?lWsk)<G2+^h3fQrByy<En#^PHs$&YPa_WJxL?28bA(cQ43R?@mi<_6Y*Hu`
z@ELh+%co9YMAhuybds+z-TSR@JnFzdik6OJ?KVX8*R$qMtHa&ADG{Gr>7BOJ+L7MJ
zK^ckNPwTV_<e29d$h?B+z~Ya47qLRSOt{jD9S(9&woZ9pT72U)Rr|cQ?G4&wBsF>+
z#~*tJ^}zc-p2jbh@|hw^%Bnmo<C$B+bdZ45*Ev6f<PMN)l~u66boRH=|FlZ0BTKj5
zp<o!Ce|Pn_hq7v$ht<9{F|JofHr4AXOQpGGaA$PR%&g?dQcMKECn@PSE<Cgdy{7p@
zXyb7Q{XKu`(hn@chU>po+kDiw<|IohW`ow}V|vRV?vJdeCmIZT35B|LGQc}j16Gm8
zg3s|c72Dq5rOk;DPyg6VdYmvm*uI;KzlzKdY&JX=A+#g}pb}ls_3!0`hKCK5il#D)
zs=}AFK?n4xUjM%BYMh>jeAQf}8674^i|;!FJ^qcDlUnuxQl3ePX>sOu+?jVrHV-K;
zAp%TvOh5vXnr}bH%LNC6mBAZv&O3h3L*pUY%$`|RR`h7!Z};<i7`2b0s^h!;p8WJU
zRn^sKdnC?lzg7PZc<=E$vOQ=cYD+9)9Xaw??8~4O+XVi!)@%%ZxP1-ceyMHYme=+E
zcMXrkTf8Sam+(14XY)}!{UKe}ES5DDQpxaDTc`AAMVQ(J9mG+L`Ka!A54rCK=B+%!
z{QGiZC<-^<#hU$$>;!}z#?N}3&huZ7Tw}}oCeh?Cx4xAsU!Uag%UEtP@us^}CvW*C
z3Un#$xL5C3!X`)uX<zN&Ng+I$Yx%79@q8hWr;&ABq4Ri|Z?o!7hSZvu!{|2lCR|=}
zbIV`uD`;=B{>d;n;IT(|dB26j&%ahnu$|r-*wO2QOe^`vH2<oD;qhXn1*h(XpVXzw
z`hLbl(P?YT&)RfBhcqkm0SWBQ;A=$uBum9D6eOEhm6I_p&+PQ<L`pOawF%E<>tn#m
zh^S86j32(64J07FISP@aqi$|M9c!hjvavG%+f~<l+T~VCBa=BKh>*bwdDdS~q;>1%
znV$puCoBGoZ5J!WqUHwT&BsBr5J;Bb_Q2pvt#xP+^t0$R?PcMZ=?_yvBEl-Zw=fU_
zZYL9$Zqd=wjJge3X+N1l%Dg|ayXD1CiMTD^4+HH@%vzC1XswxvsbAiIksZx!YVqMd
z*;LngAc2h4z76bUfQDGqtU#@n(Hj^TXsGE0W>h)sf7^Q@<u#os(_@ZE?+iNMrzb|Q
zGhX(A1PuR}>Ow$IwSHa@pfsIQYkFybC|*>S_H1(F)X!#YN;1mHX*C>Cem%cEsn!O9
z^2?GRwSG%@%98C(wOeW)cHWwnkNT$IXKlmc6w`%0r(cPn;7!Kwzq=Yq`L6dC!9Y${
zPKYo+Np=+HVT2_DDgE|&gZI`~MGOv39MX<)T;*@-8j|`N3T03}*=#iRY4wgjPpRZV
zsnR1WeqN?FiC%ba$j64H)UGxpBT$K4_^EDX<)hVBO5V=6IhBf;rb6x7_Rx#cuiSeb
zCFt^i@+YN;XWYi!9oE3-l3(y95Qqn#zMNiZV`Jq6<Epaq`i$-Dgn<eXB)cRxG3_Cz
zGPl|Ff|JI(m%7RpKNppPntE7`NN!sJFXyGvK2=^40wGqHUl_Pc-rKDYSkOQk?Teu#
zkt#<o*NyVi)Rov@eb&~|O=M|PQ&ILxi0zK`pGt@ywVC}R^khOmBZId!cdbo;nz%59
z#nbs%k;fO3yRL&)7KZ9p2?-P`Dk&@aRW7=c#dvbCbN;oGvPr)0Iu;IssXAr9)H3(X
zQU@oKVXLR~Cnh#=oexmZ$*!Tbg62GbQ6WN@WuuRiL%0YCs2tuzyl#ivjG6v`!tvAm
zsJ#D;`-9o`Cn(6dhbNt7@#LmUnwH8uX`YDUoTnkL*K@+w`H(paLElLW64vLD|D^iy
zbAGH{=!f3&!`;*Q7DFYQ3axDV-{X)rT>LE!#lfNHwy>V0#VBQEWe+&<#4bR)Y~JoF
zFJ=ZA+e09w*OCX6?AnYFA*Bk=I#Fus)`|?uKAK^l&W$rzjw=u$cE68dSN7Sum*1Wy
zyw~+seCXQrM!MbCwTFAWX<T`o@Kp5cATK-M8TV_v0vRz0F)R^PmU@|P!d;9F*zHzw
z_hffYaOjoFgrVO9-A%AES;2K!ztmt~AJX~IN$D8E<I4rvL{y_TM9BVl^f9^K;)Wx6
z*7<X|5V@+F+RV&Mo_%D>wLsUWhu7OPTLoLy^Nq{CnmFhXA@#(j%XvER8dT$o&gIm&
z#n+ZsV_70Gm^UNKnXYFr7DsJtu3yz0R$pDdY2EbQU-1w4`%)fTnBPqDUe!STwrSrA
zjo@?FnuV>v!t}IXQbHVUkz)%18{Z{(Au?GrXnDY~BS<5oROI3I%G$cHI`-rKOl2%9
zWuq}thoamOnQI$k*u9blZ~hD9vQV*ERwk1NMu+o6HqFlYV#M|Glhe6C<oo-Y^EYe0
zk3~!ku>4ZqnCM{-<G|w2Hktsl5ZVZ@u|e*#sXZo0DS2Kwk#Sn0d#CY{Li?<xwXC%y
ze`w5MFFfo2_5$qgq&CF6TY^)hL=AHnwwdRFv9k8(ZL#(rgWpFL@<;C3I4x9HpFSdc
zx!XyVqVl^tuV`&WH;uR@TWPbzAntqw@80d1PR8l!w;o}Dl#7m)v~;+rB>l02GKrg6
z_$^&ALE5*{lG`bs^2*%B$)Q}ysLZ$JR?M8V3(*!|GBDa?{p*=C*j!ULOs0>{=YJMI
zv8u|X-CeaLTXYFGPJpfr?jO}ZohIfs5cgA~#Xqney({60vK@hqK&U9!ZY#C7deqnG
z)pZU%SCzCtyGrUh$!x>v_JruQ4-I{b$Bobry1i~O`!X_`ptGlCS+GUTu%uomcz9ll
zQofR#apzQdo)l@Y)eM`Ho6j?CqU)K)*4CUm)HzfchU#wahs^DHwC}3Pdy#?1#cWVx
z6GVNGvbf)SLk8kg@soeeb40Ha3f}O^Qkd(pfs($X#pqcgUNv(2;$78`A(Oagp7(QR
z%9j@!r7Isku>ZBP98y%u+?Vq8eM%a|P0Zj-@ykGNay#;RB%gI$tBjN&%&~Vl_~W@f
zvm<|!Wy3M?*Gl4{OLs}Vq4BIfjacQAis;43gH0oo{wtS**p>}!V)U8CMO>l_<0Q_R
z1AnqbjK!0xsI2zS!jh5*GgSy)NXGHYry^E!yGE4fgCFhrd_8=7^^4uy-(RVyHyjOn
ziGN`@a-Su(w<yUG`64Y>OU(Tmv_KEb5KTCCzY!hJ+Lt2cwmliqJCZTXrKY5;^19lu
z>(8gdvE||UGuyr?D*pkJO=vmqYtq}1(aS!mh3^CnQEx2O+xxR&_Y)HE=Z^$LNOZ&A
z{CR-dn(4*6W7v@nJ<M7nRlnKm_`o@FA;x~Wq1AJTCKCn+n<D0R>p~+Q8&>%HSfTw%
z>i%nL(}Lt8&V<R2S)Xib-zlr9T($VbXGx_JrKP=2n-?%Pwvtt(rE2jt=kWtn%K6+N
zQsTyy1gg0IPfF0AF;imZZ@j8~Fb!JsJ3IHckEG%Q?GSX!$_v5!vxEH`8G4D%7xss`
zpraVHKNN2jfHzAOmDEYtraJ?;2Bx2PBvP0&L;UZPbNInu)zGSli7B4*I37R*e|<oG
zTNJ!nU2*+@0YOAX?DN2DnX2hJ*Hsd~tH@5fhe5zs984UooftQ~7#xkN<+T|BgsfYb
z+<sjun>+NwuOfQ-w|;a?i_K$bFE3wl22^agJ#6_8{J$T)6RHLc&z*2gSZ_$=_0nQ~
zJhggraKNjoYow;hR}+u+m?O&j3_W2IxUoH`xP6p3AM5CnMU^vKm<6Ak2zbBDwG3hG
z1taX^CB6F2N;-JdG&41mGRnrtaPkNrSmu6xm;z1T<ERvtR^A5qQ~LK3Dl!*3uET$)
zWMK7oT6{O;?c|piIM2|ozT-`A!*Wd3r1_7K{QC9tr3G6`k@oFddfaXN#&T_nn-^2_
zw+a<C-Or=5Gl%#uYxDY?x~tU=^F!hilp#*uX%_tcUKp0|Zsv9v_l0IbvMUOYE_>6~
zHLBl7kYu2~@3t8BztY((+k5u;wkyPYH7?dI@4NbNZpU$oar@h)|F5;P3acvW`uzq$
zN$CbD1*AbrQM$oGL_|VDl#r6HO{cV^gi?xhH=9zrq(Mqjq(j)$K7;pt&bc|yclUYY
zBd)zzd#*Xh9AnJ!{|$gijED~)Nj;zGDjD~m{(9&d<iym?QYO8Jv`n-=9gn6^c5+bF
z(hrSbS$VKA)mX6iDviyjeF4%v?=ZxF)htx)S>`6Qc@i$pIQR{AC0+j{g1oD~_P93I
zOBtvLaGdLogWcTK#l8Ey9F71pUSMzxcK>eoVE8a=tE>BC>j`Pe*H6FJYMHhn^TzUj
zOdbSPR<4h4I!;FhQS}<LqVh%JQ!GX|m(|x3B?jw{m0!u)HNuUG)iDO!Gk?REZehj;
zO?<|D6`2BxKTyUkBX1^4*cmHdDHbET>%P1n!Y;WQytp1_U}zY$)G0u5Ez;TEfGhXO
z+?hD$_Mg9D&0X#<yb}0pY-}kUDSfq`89MXq|A;S0+<cy&nQ3Bb%1AThx<YE_fZmr*
z5cur5ZqkcVU>j^};}ZTYZKO1kecH!7S@v2y{tH6Gz5dWm|1eW@7*1WWx-%9%xdrSD
zf}PZ_Q){HWdBA8+doH3i?1R@+dG^ucVQSlX67qC)N8UYRs0NiwvhZ^@mXPaBtYMS=
zS$K$2=1nfH`s+&>`MA_HkRYk66i`>c-+Z(fc2kgL?qK>PbtZyWiS*92+t9bEL%9$o
z{pps_E3gI!yj6|`@Xwq~OSb3VjRrPYcF>tVzS0s6Vs%rG2V472rb2SctCgdKG32oz
zhkkU`q|6BGS|o~!w0L?*U+1$U)g51`2Xd3-QsISz#3tAImg<ysUbQqB^28Gx19Ih$
z!HQ5TLW<`PhX-$WCb-}@JYaw<VTACSlpFj*qQb0q@`RN{J+!!5B|?0jl_VuKbud=o
zr6lH6X=$494+ny-4chS)caKB72CSJGcQ_@c>G<<UY;-iHgqjbP@9?A2v4)c1pEPzA
zNVIBu_t8VC>#vQ!z96m|-Ow`^owjcXlJJaDd-%|BZhaMb7>bjx*nRe)%I^E<?~LCM
zUVAZFj~}egBgN19KTy)(-Kpd!r(t+%u>0z8Qy&ifB^B5+_1*vF-|ihtwbJn(_%l?M
zPfSQcb5WrX1sbkKiuHxMXC7m6{?f!}+J@`~aB%w4)O7Lpy4&)qD-31P@$oTnca?&Y
zg8gnu9h4g&Snj3XebqJmf^{(UUv^va+FI8Q!h&13ZWRx$CGb4qd~rKGHF$;+dqJCV
z%Et7zodAc8%O5Q(-cF-NKM88zSWSxa$y(km^+K1k2@^TewjX9|^#NrAQ#W6xw5O+q
zrO>#$Sj{cIEI%bg1c!&8?e)i<WA)dpjq~V^jKo>@jn2;-tv<U}@*XNU1_%FBL*srG
zzisE!N7VqsG)1Lg^`(Xe2py*zn5b=8{qrIkGM@gY>_nJVsBx&2-RyC$)+PC~AxsKw
zhPcjf$@cHb?+mx;Tm>?3>#Iz52F?R-!@<sOvfL}WIv+3I8^)<=VF!w3pkxNkxc(+Y
z6#qG0<P2x9BTS3@LmlZ?wIjbP`ra~NOz3W*1E&coX5k|&q<A6tstoZq^R~_s8u-NZ
z39->MJ8Zst2@Wv;5rBE{y04fzjIu|gQQZ0{%yIV>8!4XA{QRxT!h$1h_BEaAsHnJk
zuVKkM%W*oKhB*y0?%!|VR&mURQ1n8r1`6hK%T|Cu<;jzJP1|Gl-CiCaGJ)!kP7Y~E
z*^iWZhK6J4LAIZF_EPV;$A2{;Biak0Xx*GmFF${1r`p`JsNUB_K2+-NZXE4<<0e}8
zeu~87|K6wYzB|;q)TBDue)#WWjul}neKwBP*3>pzDQbVESmAR?mX9U-Qj`iSFsXCO
z87ivj?7lM2nM*2s!kxzh1uG1yx%lMq9!a`S1pm?C8rHci?0+UqqN`6qr|Kb1$e@l1
zghK9O2+uFo{M7UwXUpMbkE6+G*ZFuzp@JwS_h!66yO2Qjbfdd+ON<TAa%eD5dy&aE
z<!t2k$h)zJ(YHEcPD~<Gw_YN*hZ`R_t5M_Mkwe)nQI{=uzi1AxgJ}ay9&PO>MDKrC
zk1z7=Dw4tGI(2V)XIGen`J6L?&{{${TeE<Vv!Cu&Wv8o9j&<)R(cwC#@gbXzPu^3;
z@6uUqzG{7|h&$L<ExQ+QLypb}2K)Z%<F8|qRT@%CmK|xQOY)Z_S8CKT_N~JObfQm3
z3|<_P&<jeiutcq3a8pK^b;<DjhldX>xOex=!uxtVmpAlr+4#jQU?dd_BL)W_$D~5Z
z1r9bV6g!M6&zNsHt$*+<<8sYG@)^w6upVtPb@pL<qfsoP*^j?j=luOZl3u1jt9mr_
zXwNl=XRH9Pk>VGV*ZOzG@3Y;O;sw7#Q|&KifpML5gOeKoY_|7M-ha_HJOly4?tOZ1
zH$G1}r?38ga1Tst(4o!X=xDXed`gzr?pjA|dt?Hi{@OxgS6_>oKZTL5{F%?kXUz4U
zOzDYSql9TLG7mUGT6uMFRC3<2Hq2&#i>uGDvNQaRsY~HWDjKp;0AreQ_UPZg&9pf@
zh6~y|lC9g?DmPsZcBwEJ!s;|k<<G&v&K?#4-NiXm@$*Tl*}~`ak2Uq?8Z3JayO-TI
zCcF+G*g8w%Vj;@R`unmU8F-zUHkikKy>sB-7%FmRS@O9;(a6pY_(ljs2AR+e(O1nG
zX!&-_69XxOu^X?wWbMvtQ+X0>^zG4Wpks1f7SJvKT3IQ^{->4PJzD>R`#G0!^S+`r
zzxt5o5Y8^j`w&J3N7h$f?yk7&<n2=-%RcPz^Gio0c@4i()?bMCEv>9DO1e3KE|DBl
zlJ~?^cw)qLUXZwVIt(+cy)`CklN=RSa`2O`HTuWODZf)IWs|Q`<}?a9``@xvq(n^~
zS1!SVevBrC^-N9L-a+PUwmNxbhmSa@ruhr`C;dd8S?fWyGSzD-rq8c)UZ;*DC&%Ap
zVH}ZI+LBQ9n?#D^`tKASv4Ip9A6l8<OMYATh($33EbZ475^Fta6BQBg$se}FC+tL0
zGSsaV#k~*wv0y2NZ{vs~_XXvVUXB?Rg{M<~z_=Co&VUln7x+Gmw>`3Ojq;z@dL1u5
z$G)is{@<_q1tiaY;OEctQt6(8d!=A+^=mA$|FPV!q6+hOE)!<@tPFL2?&}$GaU(mK
zzEF}Jk9_escbJfd-(Y|5iMD2{sc5%D{`Uc+%X&+{kB@6pB9l}@Y+B@PzUAd%4#q;I
zF?t+3&&H2rL&K-*+#f1kp78u}_i&;T&Upze7J1cX3RWVEPH8HwN7j0$s+xPkfZp?~
z-fpPB|DmF)W6nX!^CxD1ul`)H$X0mesAyrPrlGgr8jKkp8Lq@MO!xI&O+#}To0uHB
zY;<;X=+xTp3@2$rH71Uz{jt0K;?SxjmXUk?Ki+qS99g#vx6xHpaccK9G~7-X&EKr*
zTewd2Jm0G*4|+p9fQ8`V{zoUG6X~ksHrc-+b?ep)jmO!k7{AhNlWk)|>w7ve(ERyx
zGOs|T6V&9e!_jtfbdA|^tWty+<6Rs9p7sq1s#yz7DbHZ9^nLIBu7Rl48prPPKSM^%
zLGPg6{ie{LKe1n&<+tMF5+?ecX!8psA<9O4sxoG7Xl_jmYEV}<^@^5zaDFPv83-S5
z8fb1FG@I0NS$-D)xScw$jol@6hdZ7zy$VBinL!Z)aj^@>Jw>_S`q+@ck@tbe^rNZC
z7S(?aKr8%%9vb8GSHOM)Wn1GTE<T6L2o@nBC^V6?85f*pt%buE^Aw0aGBVgwjCLZ`
zvN>*WNO|rbS?h3pF8W!Fb?N@WzT>eu(a@;TH5LJ$yvZ*%Q_E72l!e@-eOIW-lNqw%
zVJ0TVoW8`XWe8Aa-sI)w<>t;<e4L1~zz@Nvq8c`84ZPLwks{L95scUG;R8lFBqSs<
z{q9v_;-`-vkJ4q_o3V$=#uk=o*`7;_i*5%`wJqGy{PzO%5)HLfZmNYo)COdbt!<)I
z!QZ~q!fsTQ3edT@<LH&yo_>f!-4A{}@B)!~74b=1n_No^GWojnoP46Mmw9i9`T`;<
zKAt*dO^)2#bvafgYd3V)ziJ1M$p~>7@u@UJQ}HP-f`#t}dq8V%+O5~ypPG}Cli6<X
z8J!2P;E@y0jA7&e(sBxf311c!5h(sLbYHnP+7>51cL|4FE-H^}@aI#R=L)!wZFxR%
ztxZl>4!<oZsB_HIz8T6TWgtuW>Tz?66IoYA_R(;`zN<_d_p2pxQSVA>stWAL#7|!t
zZiwOtE=tWZubi0ekp+|5Cw04G=8|r|UQUTkn%(N{?C}Tx!QWBlToL~M>wOvqOu|tt
zG>wl8Oa7%@0c;-`ohyrmIM_bLS36L6IM_x^pcDY$+8q`QxDo%u2mR>Icqj>|2m(4k
zeivK^-7N@iP>z2`y}9Gm4q8d1d(x$67gNcZD|Dx4W~?LPvo+0OqXx0hl@HDi4q0Em
ztgNhn_BJ6Qf#fShI=@Ox+7k@D%p+LIQbtF$--$?Sxg7rcmy?xcHC^jC^6e><n0ao`
z`P_En<n<3d1wC@V)CsSYl$4lQ<=3xJ+e*9HqKC23DbNlI2zaWk-IsK$-M@DieG1BM
zx?5%-TD6&~ykGSVu4N&8Njo||{-)(xryNL}fTJj&SN(F*46tb%o10z-Ya=r=2GjN-
z3Z+&Pr66kMPas6-)YwCf%jujS9D%Y$a{;DJLZUi9-wI^eIZPxwHI9ElP4z*GyP~8-
z$f!&{ph_td*fAYlUB1%Fsc@1>Pk+4EFMWbWClx!h$)|J_efwtd_HDqsh`zo)IQW>U
zwp#$mQebU!kGzRVCJ2(%vW1lwj7w;tNWiej@TsnD*Gs{k!JEy`OHDhY*_C^Sk8<vR
z1X7fPI-G2RE+wF7ba+@JS;V}_0Js6LF__Vl8(kQ&N~@$K`Y{q4sdQ#iQroj*$Lep7
zxDqwYfJl&ZSw<$90u8_|Fk)?a|F&jH5H1jY`~2&5JOj=mKQ}kQSxopVC=dlX2^i^e
zok$vfz3rWy=4TBJ4FPiV5XA6_AzCz_J$v0rVPs<?K#F%qQgZ&ApPwHf6drMvk0bI4
zKeNrw%$x&Evi2#$J0jxhrGkc*NcwONaq%&LGxqg8;G%@rTwPORE|LuDfe;09YU+P|
zl3PuDpm0u$ike$kh)qZsgO{SINlr^!4U-IH$&Cl2FMc%YOxl4~2EdvE0s=>9+-ozS
zHct0C&IJY$+`hRP3t_wPBODYy0AQ)Cs#;lEa&&M2o}1TRuQ&*S0azjOJHb#{4McBV
zYgh<=etugm7{BGsN#XY*yES^7o6~i#grDo{GbMDxJp2pu7kM%@o9v!4KR+*=)B{^a
zp_8Lyh(ZQHIo};x+H;Yj0V&q%;MKPQWHDZ99u}4+8Oy*^o;WoS*e@(B0J6#xAp_(*
zxEr8CBbX#BEk?e9!B}6nlK8;+Fpcq^n*-be;T_H({%vFph@v198yFaneGw5EnV@q0
za_v<D0<{MZ#EP+Q+y=382n8oMH#bz3=oT#7*T9N+lA{4?>!~{DqM{-jd3kvU2NA?v
zw*bnt1Sl5L(kPH<ynjzrp?mh7#*k>zN?(6^XQ7?gxxr>us?{eWOz!g|F3MVIQc1vi
zA-uJ?nal`r+JieF^$vj4@bGZpzQFHm36Ma%Q)sj{1YiV!79m~5ZqdB<h<*31mDP6G
zImmauJWQXdu%!9*l8XrK+#SznU|=AKgM|R(-9*j1FPgcFwh}WlGa$SJ)TQs!yVnFj
zs53M~Q78t4H(H`gHZ4Fhw5ZVKrLL=~A*RpWZivtZg?fR0U1e@=2q^auv_wDl{|tfb
z9uSYeU{Zj~gaP2^EwdhPhCP>hK<vz)fB{epqb44)hX@BSsNQlVI#wVxT3o~-ISBT8
z`yy`y8==KbWssqrw}YZ=TJ2cbLj!L{zLTc47;XRnv@#uDm-qv^`-`(Mpn!3xt)*us
zxmj$w*u7+5p<Cd--AjoEP+dfLIH=l0f6Yamzcn|%$<JSyo7=1oHnpIjKs!&r&Z$6y
zBk$|iuLT7G@Lg@1eQ}TC12ahxO{T(08ab({sVdjqHY&!5tW=rjQZ1(+=41P?u(26W
zl)gfE0~~_apnkly^%7!WV&Wz#-u6lq)Oo{n0+M8q#RQ}<r8^jzn3n8aot>++xB+ll
zQdPz5wJZtc?Gh58&z!qqI|1l~L_X4_$4ZTx+&Ha*0dj+5V^>HH!15$&<d~;NAP@i`
zY-?)+u1M_WZ@=$shWrU&fg_Y8THl|>#E?TAu+Scf+T|s2#S}C)!n>0K`yc>X`!rEY
z>XcIeCJatbGa+r}cU*uxbQJ%rP>-%pzM7ZX5|m8v4U0U~BCdjf{_nNce{kQ32=N)0
zOND7bd}}zI@#}_B0nIwh659%Z9<>%nMMaT0z6QmTS=s!RdmOPhsl(v=Tqh6F%w_D`
z1W3b3xZDxi@`9c~e@RH_&TfV7TY33Q*U+?qolEv5I=rNKkZXWiG+;ae9`8ACeCJZ$
zh=usu$qz|M_^k*j76ocv3bcLAuj^$E&y>92v+4aoyBk|uNc3*D&uCx@rpvSxNJUdq
zQw!56x8GexjvoO6^r&JQ2pISQEv|dZJ1+GXxR{z6(9MGs5rF`j#Tppjtu5(KJHUjH
zMxHbBTZ+&J$Tb_6SiQxZm;nbRIW6rxlwFn&0)gS&Cp#km-Gf{40SpoGNsAkaUP_oK
zd)@jC%(9|_0s;X>;(Y&$^bYzoI2e!iDOd<Sko0-S12zx#31Wx0CMNFy#pCUbSS8HX
z{PX*_uVFIn2j^MOs)7PyL#hyk&CN|fsW9zyb6itWmP%0t=e=WTw+MCaHkhFZ{|P0G
zFtun3trtl`?V{7;<12yJ`AY#%i~y}*f7_<3!?JrNj_3&0K|(~tc>ac1`GVfk4;Zek
zU)Tt+1-^cM#CnF;exgvAvn>*4seCXRjEut;2g#zAzzQvK_@k-QJ#Pz{todDO4EiB|
z!e6k%yNjIwELrJKN4e~<0q-bRYZPkjXB+iVJF%P(*9s%{3sm_N7LW&d<+=rG*)4lP
zy!B`QrT{h&*zF;O0ZIlH6_ubKaGk@x`(CMsu_!Iwoon_3w1#&D=$N;2{b1<+41M`q
zRqwK6Oxs)J-)mMjVO5|lDbr?O<Iyx|0G0=C^W9jeei*PZf1vst>&ru=faXiRMFAZs
z-YEq_)FGG@m_8aDL$kAn$TUfoUFEJ%^Jj-Bj6Pd*If$++E4!9<!Ps3bCTbRPUW_zb
zmdxm&3HuHrXy5`$c^-=d8Uc+LAdq0|E>BhsdcHJ9z@u*mz^>8Jp>h|DBA81CF{|MB
z?*Zqe9?yH*VRZnIzaE~R^I}t#Z$C-^{p}@yLtE?X@Aa7MgDnSn_YC+A?aW9b_(MqO
zzSVFz7d{B@8GIix5fMBbUtB`!qmvWBUHp;CRkj7B(GyKg0L#s-t{(j@LV?ovQvW+d
zllZL1JD@U~59QpJkkCjJoQDB{sc{Sr-NwcS$g?AurKL=M5FwEmBR8kSHx-k>n*e*a
z>vFe7@4Q|5e5Yc}KoU@i`3*2@;5*C6fEa4fq5`f7tc~to>g?<UV#hr&(O_w)`E)6-
zU2C+SzC&@f=hu6#-PV?t`i2JBq+r_sf;OO-5;c}N(>;tQS&6A;s;s98h=~IZ18mjQ
z)aJxXReYYa&%Qw~FD?Q)^~<+!Y8<f*FeUW(596YNAiIlYsC*R<?~S>+&_Ea~Mwj-9
z{wLW)MhSM9<k$ML@$U%E#nT713bpfzwsEmGYT_*#$^<SbzI(%OoTX1LOOQm`jq<*(
zOf1Vo#=a4Awe*d@?K$q^Z6`b#^NSx)lH>aapW|lT@x{Y?rSQI7-J&D=s_!vP)P@9`
ztqM2XgFxnvIq4Y6+h3XDGvUpPOXxbj63U&>MC~QAfwKj7(Ikoq^<9O#+$+WN%)j`>
zYH|jOQB5fCo^~1`E^2C_pZo!=6^tG8hBCXE?`a9jLTSwtcBAwOvvvenFeOT~P5x|3
zliB!`q}WNPgj{xQWPw7uZ7Ox;zVzHINl2`x5t6^-h@QYtMEr%xS<;bM0TEKh5=0lz
zHz}9B&zX(Hs_4TqzIc`A=Uzwbs<eSnEKNg0lcldKThhjvhs0Xy!)ZZWGOK&=;DK&|
zHg_EP3Lz67p-jUE&JrXRRsR*agl7h(#m6*vNU8l|Iv-eLutU?Rl1<tw^sgIR$d8C{
zHXyMa`-!IoJNZPf8?VXE<9zW&VrBP}E(s0A5~;Kedr#)xC&OTWOXplOD!I}T72HX<
z6q|hK99Kl*1!Yrc{{|abEa9E3TiK_Ct9E@Ic%K{jeH1i2-o$ih?FoG9O=8FO|5+%d
z($?lLbyGtYgMBAe+E~tZW6e)NgYivV{qVlPr-|p+@v??4E*cH6HdlX+!9Gq^x0J=Y
zxX8-&O=7XuKY>q6bQQE8hA%FP_eslDv%_H5rajw}rTEW9Qg1*id?@f~XF`;<eB|Py
zoPfSRs)QJ9xAcWU?{Z7T_1}Z?du>@^NUV+i{a~3%CNh<_A3mBfO6Rz%9w>sW>Bqhb
zcRd~nW7nc-K9xz)s?>2@2^kmUB4#b$6OdUs$H+`pAXM6pKjE}}&O~B0up`XJxLL^L
zS5w@M2ZmAJUUuH)>ZGf@#<e%5c|I2*vF>GHnI{wv+;4MGsfw1f#9*)e!1>7^^2ska
zH~CGb|K>UFa41ohzNY+BvL`pcYY^@VAQmG@vh+h`Z;-{_tLY)w-NMNI;F6upzH3S&
zL^sqG!-6@dDQzS8$xqCh8QdB3NE-)zh>=|kmYq~Y>;@-x<SH;mA+N}lSHlm82%;4=
z%CEEWcA)%Z{8ul2LXi=Yi1$aH8m?*A74k0+6QpMgrtNfAV8L7s>159>F5U*0`C_k8
zQ|t2P?zVIWe+{TygM)+2p8L^gH(4Fryx?lMY_h`A+S)oPDd~D#(NZindW<yZ>2?sa
zSGDuj7|~sEXcpjm(Idd%;lqdE>+2YQpC|-mGZ?cm)Op;;kCr~0q}t6fYz8I9-@l}L
z(F5NK@JTuRJ>g5SzD7yb8o`ga7VT@mjAMJ2=;VXP>+Ix|tkz7yp#iMd=8CDGKX<2{
zXYVHo-(Y2xeO5;s2m!<et_c_c5)v*Fd?Xd>Ha1%jdKol&pij~7sKY8=_g{ljB}5Z2
z<fsU~uNsoIlqZVS!`3rlCHAp5kc~R*yBT?j9)Cjj(&x{g!3en+0rcG3dNWHkR_bK^
z)^s><+#EJ0MXv_2lZQwh&H2G@weVC)p;0aS0_Ws$v<-0CD_XEwK>TH1p&OzQlb9GB
z87`qJD~y5Ipt!ggwm5L0baIr3xOMmw^0c@?V3p7fENrv>v@;09UEJOOb|v($K%Cv5
zD3n=W?*SW1tGUxxeefUw=K*CC5O`uCa&vRx8Kp6&W$Ed&T!wfpjEMsEz1+q}Lh!1{
z9+F0@e29)FV`S9R)~+<`rJoLGpr`-0Io-XmLrVn2DMMgyf!jNrP8MybrFESYPmsvc
z%8K!k<6=iNVB|8DBe4;iGYxevJHNqO<%m_y&uUUp{J)`YsVxcs-Vk^cXfu=)Y3G3t
zwzal)+{%2u4I4UGsRHe=F(A-pfBEuv>jrfg76QhjbxQ?F^Z!S+cl9<_SI5iEW66r}
zj5v7dX6VD0VHAN=Mn(_-{AUPmepL8<`Oy`}10m{_;k6)0N9@CV*ckzo7V7+<sFs12
z3=Oz9qRaAC3LLQ|6YBs#Tev|+Mh2`n+UA&+QGzaJT%hDWe*BmyF#F5K5wA|>AkjM-
zqSiSDc^1<Bg99+A@TN&fNT|bJm8{UMZ*1UV%f5cispn{GYwPSxLl6-Ehe=2ip3YXO
zXUX2v!vlP99p25=)hLzgYT5Qj;qUh^tHM<G^lX4e3I@M7HazEBaKUx?P4hAeJi|`Y
zQY<D<%-Ny$OI4%Pza;-F;dDIXo}hrjOSh`wyLa#AA0VCsUsHplRe5S;<OX?2pzCvD
zBauY{n@oZGw06$N&{BdsF0^%i?gm87u%y8;8+BY-HMh0~vPSI!G&aaBD8R*0C*V1H
z#vKQd{*U%{6z2Q{;SKFCAY21Z7L%lt6{L1xiA_vQ2+E`bK@&V#2-UF>V%ERDYUhDG
z8cqViJ?IrG22XLe-Zi#+X>EpdAmF<(FxvK9?kX!QznJo2W)h(f*Dbh=SX^0w;|1Nv
zb+xO@N`R6K3R2e8jG=0mckN)90apz$xPZE$4Kx>_&(;hvN(4r@UvpFDbaV53UQwg5
zAnlKP^w;Cmun@5IxpXE9nQYrrutCcRJ`%|mch(1*I?bpTl~y~uyS{_?h(tgmLXaP)
zb|a{D=ik4=Z{NV-rOyAo;{xXxX=!P;6%eU5zf3$x<>ut%6ccm$ioitxF2mz=rya~7
zxOEw+sZ3H+8_+-EmKjk{t5Mkmghk5?p9g>azhF~34ey=I+IB=(*vVq-!|kUM?D1;Z
zFhzP2h2R<Ca;0t>F+2q1Xk749N}Es|3V9=I|FG)@w!W{a8ku7%%gZSN$2UAYcLVT(
zkXp+dDb%mi=7<H-SW_fE0&y*}>SZ&whdL}JIy&=4<vQrLkS67M2YK#sX$pv^FpJ^o
zqgB8=9v&K6`2Abh`j-SVGc#L{Q;-}-><u8oOCzu8dkFGS;%#9)ONU6WJ%TArTA64i
z4qB%CxOa7NZH)i{tu&g|=Y)C1S-~Cv34ZvE$PtUXo7?4mIsdHU{j;j$V>fsAldoU7
z>a%KV-A41D^HLKcY<Hj&h4bO|wyn<hg&oLuZSxiB)d;`Y|2nb;)YFSZT?@Qc2*~F1
z06e)pIsvi6HEF1|8L+76?d`2)_Ar3BbYw)->-1=<%7(#<3gS^<vOwMquKc&ZU%tpE
z$_^I;QxN*T0K*;&(R9)cV;;Ues(fgcnwgmy85wD}MF9;5;5XHt1K|h;9`+5v4ADy(
zsduOlpWFwsH2(lTfBUKL^?>XZlyH(2L^lxR+CJrug8(<DzMioVns`v4jt*7_**`y$
zu$j4gEm9o1V?eV609PLMPD8BV2GaGDlS>HT3_@@RBOMbH1AQ07?S8kxqeIfd<M_`P
zz#0MYbE3j>EceM55&B+OhOjc2X=#tn4ri}ix#H~X+}_r9F~y)6iyt#S0|NsDWBhv6
zbL;CV>FI`#9(|HN2L!pEvr{I?$KLbJx-DLee;^j55n;{YEf681K7RZdA8$6z`j{%&
zzv{d<(nuJhI0!zYRs0iz6*3YNX=9N*Hh+F*!|a3pA?bUe3K>*9+H(w~H*WI&%VNl?
zsG#!dgd9VhS_OFJz!ROXfQ=oA?lzp;1x0AJ9zSoJAOu9O5#I21xG4#Ae2vC|-qX_B
zDoRfrXq2a2aNLhPXQvLkgpGZj96!)#TdYv-Gw{?cU{kqert$0<O`s7PjRvBmeGOx4
zadoxCkrqp!5ePB?StYG^P0}e}gX7kQCG$R(Dx|zVe4soFpXbfV$x*7>2KNBgsW$XK
z`Lsb&s}3(yPOb$8^P&|F%nZo3%oUN{!&ursav|XwCfS1G4<#j~7UenE<jc*6yr2!n
zH1Yf3Q~1OLbcSFElmL^U`rtueH$+S*bg#|!JQ?TB{Oz+a_++6WN=jT@9OSPMu2iY9
zMd$03u!)NwLN*u$(V8-|C#0r>Y+_;WfrXQrIt@t~^^D9+2*E6;sV`oN)i@%7iU8NI
zIZ7>?HgIWa33j38-J_!;<mm#l?d`jF>vMDQ`2oqe<8qg%b<rMFxj>E--5?wz9sqtU
zq$OZvODEP<V>t?5R9!`Kok33XB4ZU10pTz_BBT|I^78ziR#a3#f~UW$i+*7DQQfb4
z*C)ttP;-fWD0eP;g{xl3Z$8{;ylU2~&ZIp8sv6d(s<vh^=i&y|3X9LQw5-O9S-H4^
zd(BYj<&SVQ19<?bf6o?%ReA4TLv^(a_#H4l#VL<eWlOhE#7!e3RMPoT<KyFSucjp!
zivWNBrX|P^^n*ai_O^(~KFodEK%msV?_RPHNrs*aRISBu8r4kK20433G2fS(l;y-z
zib_wHK2{Q3G;ERY-xl-EWt&B;p4hNALA=fp+q?uX9jqP_iF9!^EYMzAUiRAgPE!nP
zXvY}^wdV*gef!CBa}Zx7CnqK*!lH$hh>hTQkb;-40jE%RJ&uZ>8VvG8t7UJSUG?1^
z5UeMb>FnSfc+1Al#mjs8Z_4I%U&_tcP5?L0cpgqest;P8cpQv8gAMV5pT=NQkA(oZ
zEBJrgv%eupiR_HIv3*GesGRBjkoz$9@VJYB{z(fq$div{WqTJsFJw&qHkN<p;^WhY
zh8Y#gKE*g9L^hWm-P+|78&b;GtI@npPInghK#=I~-@lSjkE41y^AQ&uiVPfF@z168
zbYW=nkG4T{bK=&lpcajx!4pL0aEi5!{7vT*8%uFsbV*6o*f;}{j*tky|C1hD=op3$
zpM4e)|Bzt+gyuh|KpmbKVmKq}fH30Xj3@|$^*mTiMEWH^j2Z%=s`x;mQ0}Gg{{c=F
Bo+AJN

diff --git a/tutorial/figures/nd_spl_3_comb2.tikz b/tutorial/figures/nd_spl_3_comb2.tikz
deleted file mode 100644
index ae49237e9a..0000000000
--- a/tutorial/figures/nd_spl_3_comb2.tikz
+++ /dev/null
@@ -1,26 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}] (0) at (0, -1) {\tiny $a=[1, 2]$ \\ \tiny $b=[10, 100]$ \\ \small \textcolor{red}{$\mathcal{S
-}=[a, b]$} \\ \small \textcolor{red}{$\mathcal{C}=a$}};
-		\node [style={nd_blue}] (1) at (-7.5, -7) {$a=1$ \\ $b=10~$};
-		\node [style={nd_red}] (2) at (-2.5, -7) {$a=1$ \\ $b=100$};
-		\node [style={nd_green}] (3) at (7.5, -7) {$a=2$ \\ $b=100$};
-		\node [style=none] (4) at (-2.5, -9.5) {$out=101$};
-		\node [style=none] (5) at (2.5, -9.5) {$out=12$};
-		\node [style=none] (6) at (-7.5, -9.5) {$out=11$};
-		\node [style={nd_pr}] (9) at (2.5, -7) {$a=2$ \\ $b=10~$};
-		\node [style=none] (10) at (7.5, -9.5) {$out=102$};
-		\node [style=none] (11) at (-5, -12) {$out_{comb}=[11, 12]$};
-		\node [style=none] (12) at (5, -12) {$out_{comb}=[101, 102]$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-		\draw [style=grey] (0) to (9);
-		\draw [style=grey] (6.center) to (11.center);
-		\draw [style=grey] (10.center) to (12.center);
-		\draw [style=grey] (5.center) to (11.center);
-		\draw [style=grey] (4.center) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_3_comb3.png b/tutorial/figures/nd_spl_3_comb3.png
deleted file mode 100644
index b50fad23f5650880533920136234254029a61509..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 28176
zcmXtA1yq&I)4zn2lt?2X9n#$`U6Rs`bV-*8($d}CrF6F--JR0iUElKl&v(z^2>a~a
zot>Th%{&Gx%1fXi;UhsH5ELm%u}=^P)HwLjL4XD$TpJ!%;2%Ug$<K}u$m_Q+KTwe5
zR9pyz1R^CStm2w_u;j+4vQGdxG5Zr+qh<Jk!h9rMnl`uk%UkhSwZl68vO1N$+GT0p
zd36!<1|2Dp*Q7LfG6a;CVP&{l@NI&BY@;_5r&95buN?(5h*`~+-OhN4j`_CvM`Vgi
zN?>5$z$3%?{Wa!rkCe{q9~cNFCxTr=5ub!2ku;K}jOoxPr=lvz%M%wDrvM*va!C8^
zFC$eI6@0=$Z|B8&dlg!zy~!eekE?^_mZpFJxF6r;ZT*8Jzto1JL&f~{e0p%Rv#ZR=
z$S5u@4i676Dl$J_ZgKkhl`D1R_g1Hpl9FDlr<9ZwA{v^ys%lMD6#=hvX>c&2bO(Zc
zW_4%~#?OyUF2}k;LP9z^X)P^}U~hO7eDcC<D8G)NpFd6V9QgV9wY0P(BqV6#Xd^q`
z_?uB5l9IOTGd(;!TpcbH6clX#`)6oi@c!WL!#?3ih9DXw5S7rv&qXXU9&Auu)YsRy
z)a0_gz0IgqD@*REF#Ry!)zvjNX5STnqN%BA{SNZ|W!@{~u7}4*G-83$oSZ7JduJ~%
zuc+R)Z{JoqY)WHcVR3SDDl03G{qd`&1N(RONY^tkFc|#_<90nE88c0Yii)CBFNcMo
zp`pckM%DU`GmwgbF=uDz?q@DyJiOhlEjWmPfWS^N0jU*OK%~Q%C4oUFIX3oUwF8Ef
zYB7L_-@W?F7^%AY3>KYQ<}0(HlSpww2&p*}^7-lM?nJ@JWRdbpn-3!cHx7hSAw4xN
z4%|_0R@NIlJeoZ_^xz++O+h5gxM6cuX39mAp*V~o$4K-%X*NbiMg|6JM@QlLEkW&B
za}1<RfUdi{yHITUMyLJwn=Ng~==gX@Xee2fq-X%L0TXUEDtr_hxLyQEfB`(}yOWCx
z&&$0yTvaU1%bl?t8s&UgI5_!qzR#1tNTOl9zKPuYFqqAiiYZjFFg4Bh_ae{Wb93<a
zegZeS((G1cIm4h7=qHJwVk~sisn0|ypZdkd=4gGL%z!)Lhjd=6*ZtMzK*IiXSr?P+
z<QhpdBu~fR1sP6MPj98CNBp<hcT6M-YH9=srChQ<3uC9C%7VCScYgyE6x8ANR(XrZ
zb*tws3pKSQ>Gq{$ig1;VKh7c3HgtQrPSfDf&{!(Y+FR)+gqeA>VH4pboHb%v7Lvsd
zCRtI@9Iq|yTJUx6o0E>-UWrLx5<|ox=Qj+M(;*FwjUjy7aImo2E$(sK3HNt*XEAIp
zhx0x9Ojk!s1Lp{m9s%PFoj-2Rw^LG5Ds)>kCw<%Rua5}{386@6Xm<bggx1#9a=}wk
zP%Je#Zi9<U;jq3t+k6d~ot@3i%{_T5q^LMLkia<RkFy2^$Sd&l^u$Gm6P^wMn)0{5
zAG*EW7bYz&t*WZZ9#z0`D=a^MYre*^Hw^DZG9i(1ahs0p&_6^Pe4d~F{3O`@$|JZ=
za)_=8?`P*PUtqgfAH}Y^A>rh7IhG><=*mb=p0Chr!(%mN^SnCW9&tHdw!XkX`tjR-
z{ZBkxY;<&SQBjA_L=2UJ^TF&JNOW}c-Q|9-<-yOt0|SC?XT~=tYo9-V{vw6f$^EsQ
z1YDFA7<vEx{R3zH?fr3^$Muo5t!<mnv$whV?#B_JlrE2Vmp_Tfqa;0BY3Q~EyzbZp
z1)oQ=L_Nc&BU@WrOG@@1ZqJo!pw`|=H%abqjbt3}?a@Y}jFOU(ea>6k9?4+TYvm&&
z6IE7@c{~7r+OD)N?NAW%e4YJm@>>1)ld>`y1;x}!)brClT32O`M1+9rN&BBa0W&8l
zzuYhP;L(U~Zf>}^xe@I&#J*<%<tAleVPR%gQmksIv78ZbI}-znFD11*U8eOK`@@$T
ztLLZ3I_rh$9g3T(rP$cm%*@Q@W<EwnMtJx@AV}VK7v{^&Zp_Tg2S$8+e9njSd4+}b
z-jD87R8$@LI*@vw=hpAvzyJLCQ=_g)Y+j!5d-V&|z##7K?q;LrG6Un0YSz-ya{JC#
zYk7IO%4`IC^;;0EC><U;pRTShFq^PeSt&6w>$|&i2g-4AaXO7(JA7{A=+wu@$6;|J
z{QN{eeFB#9?P_9Bu82#~dwRnq*f53($DkT4MQ!bOclPgZMy+tn$ACsN=(UDLBLr4g
zSAUEkIy^pR+!I327Om3Bbt`RH0Ky<n7{q13lH_%FA)JAR?g{jq&G!E4kcfyVJ6vS2
zZ(yK8y8%Pa_04}zVC0<K0w|j$OI}w018%m?W{Gx>x;whLxj8S7BKd@r>*WbDz5eRk
zG<jkH&zm~i6){2t5yh8vw}8>z+Y51E7y;B=Twadh>*i9tJjl<_k55hxIda^TFgDI@
zYkU41LnRKrB?c^GTh`bYU|NBAWuuBU8{kf7i3Vl}`edV_NGccheS6qiZt)=CutImj
zG>j0*D%EMKHQ*(JH2^2vz+sbkOLEZwWsaB()&YtJo?>rm`|9hcirzPp$pJ}ta5!G(
zr=z2L>MbfM(Q0x&T<Z$F#oM^tpXm)JEGaBp6(kxqF*bh3>ny9dki*Txlg$G&j+s0|
z(gq6)`*6FR@em<O8s&a{wAA9^;tdD9n%-~Y;L=hnVd0MT-Uxm^J`qvT&kJfSNwR2Y
z5xy|+;HV7R^_6)X5e5bZK&*jM99VM#7YTeC9R-D|j?U1$YyB7*a8bm3t|z?_#IMHp
z$NT$f+1OMzQWnU>{7jo9`6*+P5)vfxKD}bml$9OK6!yD$CnhWm1!;6X<Z(IDrlBdC
zpVypT2lvRz&R$bno6ckaZArCi`dLFGF)1l7KK^$rJq=BR^I<Y@u@}1&;HDDO(v~jX
z(9qCub8`!HnX+<lpduikPkssN76QVe>*>j72~CYYHZ}%m^*H?}zS8PN|KY=Igu0qq
zI*(KF?vF*c^DQS}x976@HvYu;0XJ(h5D)dOvC-Yw*jR>{ZC?Hm$jgD-ujuIU{h110
zm!rj<DB#E(FGkjp<D`cM28>vezPw=@M+ZirWpq^07t<Mvgp<={wcQsL6;-dz+sWSE
zJkc3k2hh`*3ko@xH-D6rmAjVp%chp*Q@pVD7xE+Qh+qQW5fZMiuPdcNnIq)s<SqxI
z5d)LL7@5Vw$_jK6iiC|V_VSgMiAi2llgGqdc~zC8Ox03;0182TN=ivy-sRx}Cvf!B
zesV6aZMysVg1i=R{W@@Yz7~G}E|Md`h5XHtl9Ce8BW{jkF4;dcBsa-S;;(OO>vOR)
zmY=cXHd>}tS6E05=O<h+QD-$bZYPWMgT-M(vWgO1&f=Fyz#1TC%G9y{{`~`-fPeLB
zYI>TMmbSRC5SdtDvA4G%JDZe`&vPK2zBJ+lxNf*_KyrRdAfTYMIBv^}h(IUFa)3j`
z#B?zoOcW>pbx;GbRCTr09RkGI%nV!!P|bwr448qgKr|}3Wb(o>bi{8q2|^GE6Y|99
zD2d8MDR=^WK>GQ=E)XLDQ3LdkY~TOs?gsV_p?Dd%=G4^GQMtF0qF*RrpkI6pyXhdV
zlEf(iMsT(5ioo#9p@7d*>a%uIdb;=Nzn*|sdICyClYkl|3pO#9%sB>V2s$1f9zK4*
z?n($kWLB1eiVCLY;I~Q;bU;H+F89@;)L5eezJC3RiyTmxBZL5(rvnSgEG#TE8%YPY
zhsE5|vdVT&2wlh=#~?T?Y~x%Pm<tddi1W&kpa9*4KoCwyF}{=BD9($c!<sAaFtCfI
z#wCdA5Pm&CAml;NuP&x-XUbIkmckqN#$O8<n(DY@{2QOw%)Y-Wzfs7La3x;9!M`%#
zazWi1@}rQsiFhq+2SPuD&*n7mc;Srx2+fp}P{Awb3z_D(!>KF#Y1QfPsp#r@JaAp?
zKxx%Ixf>s9*4qgyX1$k`0W|p2@DrL2L0eiPpao`=x?Ug<2?nHaiW6c(AXc-GG~TYh
zsO)eUbC;K?=IbAKR*3Je;USUH&@wW!zhJN#Fzr=7+}?t}b3O+1pyn<Ko8v%1(5LzT
z-QKS5zqYq;BbsZ%nVkA@rn~5Vh5Xe?_%q(<<Ei9=$jdw?cJ`s+VeE%`PMh{jVSOuP
z4i0p}pDxBu>?*1?H^hNSr)#2i_D~86^<NRy%Ag-~Ji0oCKI5Sh2TT+g?2fCUZgnLv
z>H(wtgN=(cd=#1mT!rOKxybIHr4k(2R~=0*l|F)D?+{r{zeS*ZJ(#_zL?d3UXgm3n
zBtWQX-Qj&ntKEv6l{K0Llgj_v*Vpdq!}6(tfxfMtkCgR1TfIF@YMRy~{3!_qg}CD5
z`kTMs#(@xw0?!8&T{wJa|200oz9}3;-x${A=vx6*sWu`S@%J>Hbw7Aie~;@M_oik(
zjW#0Smc5~DZ5T8({}E=yz0zxK&zHMgQBxImV9|rB{=m)sS&_hxG#UyE4;}LDXsM|n
zHy6RG-g0JjFzGIJVCw+cm_^b5JVAgO!Pul@vH58s620A)_+bwV`5l5z6EtLUTEvrY
zX9t0T>6^bl?BwMea|93rf;0{V1;n3PbvB5m^^xd(ecy_US8T4`pNZhm0%(+zxt}Je
zW@}L@zFFF$Ic}}CtOueoxiVGq$YA1#YQGD^gE>7N9nU}A-DR@Uc$`^VQ&fEwL$&@C
z<0@7#(fgBtDlF>F>5mtN2xTd%sH!p}=O7q!SeU$8Ue>pKO{F06{G_N3&#2pexsQ%9
z{$N$-<5TaEP~kE;<{Lr0-zMMyTc|QR3ej7+t8TI(luboI;bbG=LXVDyK#EJ&+M&3-
z@KscAkuqQ9<>m2+q)3n%A_2RYo|k8$rWOxAkUz<sXcm@hH}*^{-=SbKZS^!NAq+Yg
z?S1q~tnk@69bGWgn3Yw2x#V1~=o%A)8G>u4MtuYK^oN>ST>}ZLyNF3im2RxEsnogk
zU)b<HY>i+IfbbS^+O4*4Y#4Xs>OjDP*dNdb6;pwDqebYgfB<cOAC+)*UE<{I?$8wj
zG5npmU%jEB;k$S5=2w5BGk<3&dVl#RoRDBpK>?4HjuB@%uX+0B_7=sWs5Puw9RvoK
za47g2+uKxo)c#$)@TMa+_jM*rxFD1Hf(J8>0DK6)o0}U*7MT~Um^pDwhy4T5w79MQ
zVyu#1r*XZX<)t(<GP1U^g5@G1#TyMc>|-<=PTifaDT#@RDTG<WEzx2~LWZ7;Ev&`f
z+xsR4{aZhu42bJ;s~2x0E3P>(RvS3@Kb=?Gp?u4ht*<4?$AKMvRYi#wMe-7sWS5l@
z5)lm>vw--DJSZ$ImEVJ-zd=&@C8ANJjs>9{u%6nJzLL;BKF_KpYQa26{y~aSP`4;Q
zKQ2@nbOEytA|QATUU_LL->@*q$1bMAVrUG+jSX1lmlz0M#Xu+-<am9yKxgrg11hIk
z5u9HST<&-LMU+qb=j9)8uP)#LClmi*G1;C$rI3CwR|UVRo%<OO@RMGrQ6=)VtEI(i
zKUU>$XeXzgMLcMjR~#%5SJ(D<`sQXPCUjZZ%r)z#^*<eDTBA9ELjN3GTrvc_8ifKx
z$k70EjfRJZL3q&x`+EU84b^c=sLdN47eTKLIvAFM0vb2oM>+r7uV0Z@6}c0;r34iI
z%v_{U!0_S6BqX?e{d#eIz3q}YC~M~c&B(~a3WM~Dg+)jcKVR;xSlIWI1H3RI`Y_+;
zyM4xp02EU64HrQ4&@A8zNN#SEPo}4QbI1;sQFIz71<!7nZ*GMP<e`Hj_1xSdQ;~B%
zB6>bc^Q3_QHoP(XJ(uENV)KCb_~}GuqjWwumZa^i6*Qvu2x5Jc%l)XS5-q-)ZH49%
zYfL0bshX#7V!_V8F_~p3adF=afbPxD(-XZTLS1U=+8iKZL}O;I^l8g1ZUj-8i;If{
z&IJ0qoeiO65TQU35D+X+933t&Szt;?Oi#8qyD6$p{eybE>kxddW<mG~H&Gy}f&0Zm
z<P*luZq4{T<p<=us~=AL;MB#%?NeCgI_uP$+Om`rBO}KkQ+`1EA;}c$9JOT*a;Uw%
zyPKPn+3dALt>#^85c;p~4-9CrRez-!%s@*{hCmt`MoVy3IZ;tx`{hXNU%$gxe2SBa
z{~)ZaldD<?+}_T{-xv@>H!sp@tHbNH3Z*O=%NB^rB3CvA*ERZ3_(2sFF&T<I*4f)b
z&$UH=%%Py7%E{jXQGSL=uDA;A)Y1}gyN5uCHjd)RF}{2evOBR2wTOvX`-8&eT6x;R
z&d%f`5SviPHQ(+#)Lfi}Ml2)@1&3Vt%s~#TtqmAwVJWQBlC(ZCk!3b=H#8wF^PU<3
z8k*}yeXWDZ>S(b6jfhX^h1eZT;S(+{u6H0Dl`n8?nH$L#ue8LmT0!M?`Cj^=*%NVl
zSh#ASI5)R_A*F&E9{I+}=VZMXofz%UAK)VC)S)5T^$-e*O1JZhb&t#M;e^0Cx}vA1
z-mJ)g_|g)@XV426h*4h(sbI#D@PBfEaIC(b>uAef(C2#!fp!}zE*v(tzAf6-6?FK)
zh+xMQR-+3%gv${Q2`SUXR#7crR53CJhA{1}#Nst}dzD#a^4&tK01l&w!TZR+LX<#0
z+lVsQ5Wjz~NAY)Z6tl3PotK1OgMG<rLCgxgQS}S_0e{vMV2-oW6S{gZI7Z8MG{F#H
z5JM?9UughyTp|$Z45#x+RMX{P_Sd&>-}?F_mEb$+C}VO`2V!90QFnHBGE+nCP^X-u
zrj@8;LAbTIzd!MX4S->LcJ-L=9u{;6ps_&Qg^rGngF}^j`X<=lv<X3?P-QPqCIN(W
zuoI*bit+S*qJf&+fBKQ&P_4WQBheGN-?Ff9`8dM)8JL;jU|@V#V<gcQuF>%)o0^&e
z8Nt!fQGb8G7|j`ybMN2A#yf&oZaRrd>BbVZGJFoJM3CCXj)vd{Z2-U}*U7}h1bhV_
zA0K=Rq&SOBE)|7j0Q+RY%gu$Y8DNZ*B%$b09cJg`tgERx9M6+6H8pi|s?qNhnulUr
z5I>omn!>`yR#R6mDJqKkYYb^;vijE@3;-&O0<Wc4)>j8}^Yilup9KR901N@hLPA2y
zMnQh_8dwQ>09^o-A|@^ltou4x%usMxGanxvT_0RU=ZTmJNL~O%$Vf;Q8slYUWsg^f
zS|HJji;cy9Dn-wwdC|CEAq^lFcNntXowZ@Lt>R9|D=#kx$zyglbe#Je&lgif4KhY*
z>e12B_J)rusH}|g!zOf$j3YpG!7WQ%J@z7;@q(pR*yy+Z=`-Q3|M>}!8?yd+xGV!5
z(VS03GZlKaP7S!Um!vnN(r_CI$;ru!iy&*G0T7LvBLhUSXcCAebeT0e>Q&<_Vq#+X
z_?=JGm~wJM#Dd<Kn3$R7DC3wfS<>F#-r(RMgH9tgpx9d}NF)pP)vFfITZf06)8?;R
z6ns2s%Q+Hgj*gDyrWeL6pLKL}q@`&A-}Cc7x~{$d2l6A>%#Qv=Q^w4-97Sr7WOHzE
z0A0@;`_hS^paNj105oFn?O{TqVrp^>DJ7*hWqabuA~j1_;U$I)0ziYjA6x-MIrYwF
zTT~x6U?_z%qC<bN(J6F<1G8{4l<m7|(;<FckG5xNdKFM|TtRO>zYcUse^TL`G53p|
zEN}%kr$$d&&zYYX#}SebYxQpE9B<b^`UY~Ny}d@m9;8!?w_X1aj($Dgk^?|2RCt)$
zC8^by+6DPj<w5JXm>6XXi#-6b1R~>+ew@-JCI+tRPBx8)oq<8Vk{d^{2*(^U<h(!#
zh3%*%UN8aNK1e%IiTETpy#4@?NxfVfr2igkov#dR2mPd5K=g1ZBV&#29}+hil;k;w
zcn$D3Yit6G)zRUs>V<HGio^j#weKY*CFd6xn75DJxB<8K_W)<JA53JnPO_U*EUM!d
z1zZv-?9rA_Oipg~d0y`7GMXvZv9PcJ_*mY=t~K#TW8)0~(C~cSL4Wh+bZ?3dTy&Id
zyVA>dt91U(#P=+!Vd3Do?2P(~k@CBqtOCT09K(EfJP!awoy*xjKjr|GV5F<-1sfe2
z8tU%Ot*oqc+#UwtmWbDiTGl69UjOlO|F=@ibreocPQaD4xL+EY`M~+DZEw2(jH|m_
z4B+TMm;op(oTm?*CKlG^$=b_$05%>;<DKd3{O;9L`uq29kd}e)7ut={JM)vRhu?TP
z`CDt|x}vkQv*Kb}aq*sf1p{1ckTnCXM@Ns0jAXK${s3TdFyiI)D4)htqY1A+ga_21
z&HM3g#pii*dpj^7Ae@kQ8hkoCv-76(lai8_8lA{Q%(3F!7qDWTDX^*d9TzkJh}_u7
zLv=d3`&A9~XK=8=Qr3XGColpiXhwPJ5XJv8-*;Sg`T&u*yu6&6oa9PkNr;Pke7LQe
z6NDl4b-%2AOMNI!B7)^O2MQqPXJ<h2I<~n$6=Z5JOgitZ;SYdkIr#Zo01(=J`z1oU
z<q)8-(E*A*ivhs40EH9tMl6W}Wd*>(@0bP}ibd-G-k8w(Bf#1M3Wcn#tv`QG0+?1I
zjCrYYf&7mjKeEIBaTcmqbc>p+I|O-}FoXl(Za9ti?H(i4>ylB~>bR;esujlIDaMPj
z!^8yo`hsq9;f&(bGB5y-SXG$wg(yz?@pL^9{1yNVcR;{Ld3kxTQK6AAEMlI{FRIz}
zhEB!LpK0jmWCmv;LYkV5rKP2{wQ7^TY%l<!mxO(k6XFt^HM9{0#T@^%J!nX<*xq7;
zqq%tzpp=OAQkp2%xd%5Yw84t~zmJ$!`>5pha9U_+s5qf`C^%+kW;I=Wklvul{pmWq
z{gK2M#3b4HxVW;?QcNcjS1`d4Oz?i00F;4_mX`F)IJFFjAlNWFJR7TUk`52yQ6`j)
z0=q}MHY6kjpr;rQwlJY#VaO#!q<cb|zS1oiLdf34=p4VOw>VTZG-ivGsgxu-Xut}F
z<>Z#Iaqc~Y(oO$_!$KOYO2bGP#-P8YrfMrGMb&${O62LD{%~grg6gdO+%7RliF|`F
zn+-*5u}Ts?YL&3lU6MHParXa5X)i;_Vx1A?4!}bG)}7xX66x_zvOZPJ3Y#ZncK=FT
zK#xjcS|zgzh4Tbte^i{OAZ6A}TKMpt)1X~q0~_ULv{={veS8~kw47{c1In9bL>PhZ
zbzj;8rCSW4@^lQ}tQaz+Xt06FCt$K-Q3AjvD3I(Kw|)nUzlHNO90QcmUSi-$H~Ets
z^=NZ2TXcR?_@K$QDw?O;iLt(77yKUT|A)2zH*AP;uZLz&1qI}=y98`!Z$9=7EzTVg
znC+;jM6lf~yFojZ?tkZC%*sqh&VHY7jeQbq^s?W~f1D6P|58f_9j!8G@^%7nqPtui
zMnGkc0wLCUA=w`&M0fSex>o<K8w|-?swH!K*{u$YGF$&QD*ifeiG!4x&M}2zS`POl
z*cLDd2rq)v>M<gelreMN`(HNTB&AyaokU64Tz!YUCUJlg>SeOi|G0@keTWogjN>>*
zo(UF4{PN$z3%JrvouqT%%)#bh0qFnEyj)BEYgee6ycMj#3|5f(_}>Z(rsNNG;^bg>
zA(H&%(0KnH+IB(6Ts?ALia9~9Gnr{MCig$itIsMb!1+e?alF1EuXx$d670urhfc({
zfE9M7JZKWr2UtN~`X4K>fDXLM)B&s@{|)B;eVH5Q{sZK9t<`lvb)x6}p)$m3|GQ`C
zz;TA-`M<zlO4$JxN6!NmYfjN=93IU8c`*R2Kzw1v_y4g1O2j+?=dcPK<n-krcK>4q
zHT9uG0sjjtTETX~w*PH+3l_$icVtc|O9KK#b^5;>&6qboS{3F65>yid2%Z=HZ-s#f
z=f{Dr24~$t>%vDcdxq$L!jcX=6OsxT)B*gN@&4Z+5fBR3d4rT!o`+?KFs;s0{|QAq
z7TbdL8`>?7aa17kmg@i8PF-={ng|R|{Woa)zrk(AsH|U&jg6h1oqKy0z)IM+=|&i6
zsHv$rIGiP*5$9xQXXaDxuJ?AwZUpr1nD6hP;zBS(YHDiKGM0gRni(IraAxC4D=#Xd
zITC!^QCwR3fsRgDO%2<L1h$iBKQ=B7m_IQrn3%uDOt_%jmC@=6>_l-{ncFSt_o$IC
zu3<epO49w(pNzqxPRF{gX07ctO7p;j&dtr4n_rCR3HaRI{K~H_udRLZ%IhO%Nt*O&
z|Mv8FkB5(2SX2ZsNe+af&lrk>Jxm`cC^kQ9%=$H5W5mP^B8P?D?^8SPvB_$oLD*EM
z@QL-5W0cz=-)3lnce&>>&K;oB;dtlgv=-(Qlaqcabc0ayc%`kRxVZMPEno-4Uaj7b
zA?GtePFoWbJ7dhuuU>`C&o?$cXWSaI1dCDr#1#+;E;c6FW7Vq^`?P10cDuG_04fDC
zveNh#hPj-QbtwVv6|F50p%#yI);743zavJmtOF*N(O>_+7og2kdZ@oIzeO%A+|&A4
z-<Eag&)}qNA&rKHdBP<b!fPMr=jBJUkxoj5w5(AnC3Rc7mDYKOv!MqR;|-sIp&?mm
z&y?HCfs(@Q90{#?`MR2SteSdydbn%sB`-deN&;9}+1Ibx@afxUY)5<_o#WT3keTuF
z%VyaAI#4I2V@r8Fb8*m8__Z4KhJTiq7xZ~Ln6II0Oq^D+w`We0HFYV}PrHS3If8>-
zl#-QBWu9tPj}T~K^Dw`jh)S^B8hnn=NQq0qJNqXkWj=NuWEP)8k3;|2*urAol$G&4
z2)gJ%t)j3HIPtjXXpB9Nu`g`T3*Prn%YycMH;Br;yE|wH<8cX1)RvX_?(;J)zfRw*
zDG5qT1FVwSW7^8#fgaOt9$YLX<<{1amaeWDm3*>5r`2NR8g@vC^kR5SN=(v;z?EwE
zM6d9*wvG!g*DNCMGw@(Q=)QdU6122O4eI=!UTBAcnI9@DJLhe3TeF(ON;Bci)YNYL
z`C3oe5U4+GGo*5|v%a0|!^i=F0w_d^ijwj0Y+V#hJk>p7kLZ{(dk&K5kWq-2hoU8M
z<0<Izxt%?n1~Ssnsg+h{&|I+U6@o^K^Yim2P$2nbB;kt|Zje}!Q4ty{Q_;$AHk4s*
z$Ris<TKS;+N#%i!`eCmj#l5l7=ecD>HWP^ZI77@|zK4-Fj0z*~Mdi!}zfMoFMq`LQ
z6?ar7?rgU%Z%<4JHZ~Eb*jT<~A<va4!M4l^adw<Gv#VAnhkQLB8ys=gTGUzi55?Nc
zA{yp&w@0!z7SO?>mCvibe)l-w1pLE)TqA>p0_ZEKeXwxc#_qM(uD`d{+B$yyirIt+
z70M*tB1?I`{OG~JKww2!z|GAI@-D0NF_liO`JO8E{?>$ya~`U~4Z3gD1Jd>BMCq0s
z2Sn`d*`=k50$J)RvG<E7jjK+^*EV$^M?j>#4Y6gO>0MYbd2~0U+mB;?2g}vclMr=n
zy)q<2>{#XHX}e2+TRoJ5ft@BV=sdZ!vf`64KvXgov+3`+g@cWwectA<KCG%fLl}z9
zh;dV$gMv^y=`nF{x<I}d;84|;#%uqcjGy<UP3UP~&@)d5x$EkwB_htQ_h$xW<SxB{
z^I41i`PPTl=ciC}<^=fy#?O_Nuk+S@DN6i#x~!#G_^p533qQX9h{LFd-TR?kkTRyh
zdS9>9-;%#0o|NK(wXHdOasO`4C_T`2xtZH+_?<ypT03Iyq)fp?foxj#T*>`(OUnF*
zHICRj8tcR8pH=V72nD_-X0T>lk4*adMu50qS849FBZsR*igli38~R&m>Eb^VhP9|7
zG?*?FcsvU7QCA{qS@o@S0XK)6(JX>8v-FjEQF74j@wM7LknkFRqRNMuzN{|@A*!21
zWO-Sj#p6<Gf0F;|^nN$yVBuxS)Y8;}v!M(<6WE)@iJ6H4kaV2nLw9c%>mqk8E-nV3
z5;S_>)7Fvkibp#_Why)`KL;#D9gb(I+m;~+414ODHpx;t7GGAMIUH1^NlZ0euHLrX
z#@=z8j0{h$_iCkc*{7D6S0rLPCduXx#TM!0^0=0+e0+13XMl?3$(Z!Z@qCb5p4YiC
z#C$V~4jIlUe*Iwhx6YN-@<`Vvi}39Uh1*cLASjtEt~H7tcpvb^x&t87uS*sSWz$JZ
z{q;#Uo*=kN`lQG0y|@w`9XIat26-Mt#A@9Z_Xs>Qm;MO_f548ri-}eT*80Ye({_<>
z{5rlozJid{@;jO%B6?L<zY9o8TdDUW0rO&cT@ZPX;@)O(&5lN%Kfmr)5fjTzFMkR{
zWF2|OMb(-58Uk~_2Yc&p>OEYGZ%g4U=xpP0`B6-4XKz<Fg?-MXm*@M2Hbn8b{K|GV
zEq1c|^z9$kBv~81;U%l<jiL!)v|QHqe6r>0f0B3i+N}KESZ?{IR>2x#&dkX|+BrOZ
zbsAO0SJ8!48#%k<WEMUi9YbN-;X~%Jc;)Kq`s6`hD8VVG)O#lLMXWEMe;?)u4wPy`
zc(9M`H1>W51tkg?-3{F*xM~G1z<qyy&F$FDN)y$@nh{#Pzg0`MV?TR3v23mUXH(kV
zevMCJV4Z4lyVkQt7)X!+60&x+en;p;f|%;xO+{IU>~n*<$WcW^t+j6kvrk_4qJCYr
z>6ex%EDY*Mp|AgNYXli>{g_s}1a;lBW3T(5RL9R4%j3>gvqP#|o79JfxV7Go0kfQl
z-GdDudU}2|)m5ajjg1dkyW|vfS0}!P6ey(excr-30ys#z<LBsI^Q$Hf_{BCx=GPv~
z$W_TqzpAVf-uh%v=ntD1nCJo>wwx}1<Mct>vS@ODYYQ6_!}VeD%|A?RJG&G&Zs{hY
z54~3eOvY>3HU2{lAJ}ng4Te%bCaHU>Z~eA-{cGE{cJ8<KlgWlxO1(*qu?m3(_so}7
z#e~fiaY7loN_?v$+TLGkM$Vi`j_7(5sx7|0z8+}x!7{@pYqaOJ0+)`C3uI&yZl^3b
z-?z0Pk=csj8CR(8@0`yj&8Nx!EwCoUIqIdhl79pe1Y(48E2oK>u{TXJ{BlDnyb2#2
z09cbt%{g*+d%qkW6omP5ipdgAQc}aL^Uf9t=MbggR}jCByZeaav8nZ)L0gkrnGJUv
z8Cu$Yv-z-k7e@WjOyPeTgRdZPepwY|au48{Vf5QN?JL)W6Ws&vGb<n-=(Xt!7{AKT
zp@l$2LtA?hxe2ekV!M`n@3zFpi};5>UytDVsc921D>h4KI2AyUfB$yieCW(qsJlN|
z^W(Dl7GRK=*Rw;na1~?@=y^-nQsgJ6Jza+5M8fBec_VoMjzLXBD|qQ+!`US-D`)`<
zd}G7QM;kpkhRKdl`nf#_Kqmn%v_?Gr&nlrq9|S)-*C^{*KDcjkz2!f*nL5im$Is?1
z)s(0W_%N;<R0~b|p1dk4vY%~n8d$N3DUb#Cy9j#8+#Bx{9y3Cn?HNW4*NwCzth{iZ
z<qw8E;UxmoADb3NlHTtL-F)(!;u_I*-t9C=y(}FXab`w#v`f64k#}JpYJiLuWL$m!
zVVRb?6~cpl#D|0|>xxy?p)}ZO6GBSi<XyF&{pxkM<<<{_#7*3Ra|wpfmlLlGQ>x|U
zTWK7Fl(XJ(;(lwU^sD_y1B668ipObp2f1mNt4@h6!+FHrwYcya-<(73%deVO_n$*s
zO*i1+1TdUPQahQfqN>h=*;9fXiSY%2G2w17Jx>-?2UIW|+<UZ571DgSSf-}6Ot3=m
zz^D9}Fq0^oA36~5A_P3>9XsQy_Lp0NX*k?<Uxir3;lOq0<Xo>RrMkv_1rbtA!=Rgm
zynL;O=jwcwqq>QEe0>5Ae$rZ_l(sa=SDq!~*^}Ac<DQb-h0?)P<dh#Vzq@n$YTbt{
z<`@Xc^@|rqA9h1+@0Xar935qujvwI;{F=yT#JDbESRh;(_{}oqaa|wG6R9@3d$A@O
zNU43A5LU#X^>Mi_SZl_3a|8YPdPQht^>`?-+pBn>c0Z#HS?(g(2kljwd|fizTL0ns
zzZ%0*)rPs1c<!?PzcyQgw%W!)K|$1vz2uajx$f)zE%5l=wy|~A6I(#aBsBof<y6_X
z5tSc3y~GJ6>6%--?ye3PnSmD7md!QTu6PsS*HklG?iZyvmnT#Lk=<LG3JXK=d`#v(
zCm3;dy1ck1Zj~*R=X`jL+9(t1W51A5-*)?z$7`=1kx^a;-HAk`qqLMsSAda@GokOT
zF1u<Cyn67|Zh+7A_ai3S)`r9PM`f0!MMsw&31Wmniq&jukB2EiK?rg~-oS2|m<XoB
z2}(-2Jtyod+34}wJXBBgUIU1!^XN|_I7Hexb|_B>_9L~~vd5dNqx0UkmK>)i4sLj#
z&FCxz^;WnY5gSFwNJ$+w6j`CS7Axj1&N-WN`*IhXZ6DpQpB>ls<j>N$d>Srcwbp|J
zQtA+_-hS|1Xm&c!PlMH2dE8Rf);M7$fg)?Oi_M#h-BmMYaZz@-JhBiCKtV!9O+UM@
z`MF}+<n9i)&vC?wYy2Ux@Kx{ng|Fb#jz~@m4I>@z;pRveLWi)+uVPO_HP_GAxo>KV
zo38iV#DB>DB94(6NV>jiI_E&J?7aV382b0(@`915LB6{B{^#jo;&zs3d2eptr?{!O
z(CHz1TAHWpyPR;sTyA22z)4aCryRXMqZ6#ALm7w=x0N#-UIt=*o5}n%f_g$K&ijRM
zCmX3?DHP%d)di4+3HnT<zcg6(voCBjXh^B5ZM*r~uNSzvxnoofZ|<*G8Ek1Af~L~h
z8oN3C`?)=xTg_ftMlwrNeM~&5ZVEXze7RpS7-PT!-7KFE_x0<?vqA~w=L{xOFjU80
zE2Q&pS)lJD)_Pnu8sJi<;@&#k_HSbCCj{|?Y~AX%rKQ9T+-a)H^*C=;^9o#tgoZQ_
zO0+c16YF4psa~lizK?Te)N5!oymS^YqWD0A)H7`(d{boxn(**m8X*NN!U}WH8+&4`
zJZ;^<g`1{c^R(IbU@J+CAp@kXu9|ZbYqQi=HBJ>mLdNS?B24`$wnttjC&vhunAiuj
z;+~zc;d4j=z)c}U#EsxS{juzK2nJ-s)N9><I?&A-qzCu{pY#@bm<9(XCZ3<@mPI^o
zAEczmc}<En>yDD~@XV(tO#k-3DUWA!AIvq9xR#@sh5m&9Grz2;N8$cQFSC-ZpqHZh
zr*Rckg@Iv*WTxOmxq$%W(e!4w%hQPh1SbQOu1Z!SGY&@Q&BINFbogGXR#j!CiGyX<
zL(AfvvY6)5_Th)kb2a*;Dv`bC%kJ0_8b~IuP{e|LDb?)Jat$xrK~X03+n~h6#P?lc
zuFGM+%gcw4|D^SYNV~al6T%!uNM)D~)?(?qO7NqK_)Wp-3FLvU&|hY@x&jz@C<Gf!
z_QOXyHV3S2Pd=c0AArmbno&(k2=tE6e^ro$6SYZ`##HEWuRC3>s#x~s2e!Boo~|Cr
zJ!HjySedO-7bG%V70d9RZ)k7>aI9jP{_)+4u7P#$`9RCjirbUGu*VD(OYqmTt1_<{
z#z7*%U%Lj3%WW;EH-ZmY9K7@gE22Tf)ij?zEo^ZKBBD}Gmc1PtV-8J=KXdl!eq~z`
zl!&7)zf2y}XI7EQ^VL1WZ|ERDP`uUK{`?39EKoi>u3nPFs#n~>p1S{}{t=nI2Djr9
zo(#B);FPyXvXog2rEd4G=c&~D7W=ifvw0;IEq1qj5RJC46A{FDL*ZAHcZYrp&;KH7
zjpH0gmiY<zB}t=JpVJHnqzBSr1BUf@By@cfh%-w|4`zeoLBnW%{$<+Q-bn2#)%&-U
zr)LAtn~rBmG517#?xLhIP(t$Z-kIT9sh+GJ-%*)4rlyD&H9b3*{teFmq1n2$6p?d1
zhK1#ucL}STq0B32&^dMYnaYqQh5FVU7N)cUg*5btJcJSk#N!Wf8Ol~)4jhWxg&s-P
zc=-yw-acaU!x@#2{Jf9n$o{G;OE5Cz?6*Sz&qpMOq10QlpF=+{0{=x&&detrd#v1h
z?7FNtLh<<{LCz0wT0L+S3IifRvD99p(`deB-y<Xa?sD~S+vk=3zXO*9vvqT1fr+@g
z__YpObv)|=jmQ2y8s|MF*bc<zEe2$Pu!4xD1xt7HHbO$*Y8e>C<7KuNQGN!{(3DiR
zdc7qu;2Uh7Ba<SJE-iic<iiKsj+OJCtX#*^WO*z;QPy-xA#B^zWn+43jpwd7MCbEL
ztE?-p#b~5y1n8YSWBGmae0pQM8lZbDPzQ5V-9cb~bd|Qy2y@})x@KRI(-js_LS6K`
z^`|SLf$8|aBt|N_z-Qtok36qOjFS~>a7dk})nB+KHZ1+e*uK+cthiwUkM5^x28AUh
zO?FrPH#A0bD}P$N&G@o=SoLbzZ)|bSsH;T-Q5T+<J4XZ%dG26fpuHdelEXk^{tk`|
zY?sYx7#c1z#VD0l>|0o_8<NefU_`1_c)NI4ScguZn~jvpxn_K8zKygpP!arDTvie)
z>B>1@cpDQzvSDHz$4iG%K!xYmq4-I~hJBxXpZ@UYEyC;RnHr}WC0pHOG-CR`)u)Qe
z`qk0hN1Vlq-wrlPQt#3Hc2Gy#ytZpIMb~u(_i?M3$=p1wolWJXln{AGyq`|;noAe$
zDit~8<y?U;Jx`BwETJs{RZdre0vYw5hX>CqX<8&mcW<vk-FDuiG$<3=D;Z?8UOL|7
zcDrnD%JTbVMKNZe5}Gp5KQ8Qb&Ww$C*|@HSeI$*VZmhrDTgnKO<RTZ(LMCPo;kuUN
z^TuQ=`f+Ps0w6M^)`Xoem!@6>*UWjP*@inpOH{wca**K%9$K;Xt6Xe{m%Fr%WhtYs
z7<9RXs_cKrtd`2jf^rmSHu!MB`A_U%U!!36+||_p&}5+Gd-Xi>aMN7}^3tHS(E`Sd
z#H6t3UFwOGRh+SrVV&!Cyq{vEhx7GyKF3gU8O5c=58DSFKF*C*4mREf%j=aA=VrCD
z^TiYnza6AQ`nww{?H}))7P$GQlS7a~AejnncdXB<VqxXJwbfx?Z(_EMC^gu4Zk$v~
zN3fccu!F@ko19cD1T^I``X7>SKWy|+&Y+aK9fei~J;B^_ltDZ8jrWrZ2&Ai;WkQ53
zEE+#Xm@e0-g2L&FousNN1w<v574Xg6{1SBF<`?*IuoKVhtQvID2cXzKh^|RHIhi;)
zVF{8!zO`maIXJKgkK1_5hu@8E2`1Hsh>_x<O_r6GLqkkWdgeU5AKBPUc$^<%g){W|
zn#VeFeg=edSmZSaRh*eQsa`60f7IWdD!T^=tuL<m_2s@sj&Jh^6)Nyf2l7w45?ZKl
zpF1uZoogf11e3y9GA0BfSTja<R+YLWBL10^YHO+Q|Eryrv<3b0)DR}R{(sB8JoCeA
z2GkH-X5$Ue(~S`A91|UlO?U1(V3_gLvWc|;V9||@O_m)zg{Rl-EF6U$7H8*YDMWl$
zxu=y;%@2CopB^4hj*Mao6p&GoeR-%KmF^yP2V!s<TE*k#W)!LD`G3YaOMx;aDr!|K
zw$;XA`f6B35od)P@+3zgOd?;;(@BT5d*es1yM0^~n}?K<2rbT$Jn!2RTH4az*`1!%
zSaHRT7W5Hx-rxO>EX*I6eFWYgeWHkx{NX#|>V2C~Iym9t1%G*{2fzA-+hF4Jb;qOA
zSC31gA~WiG+>Z5hpZ=MPQBLMf)wq~|lwv2<<-_LG?J<_KRzjrab(t`<=5SU*9c=6M
z!;it$6?%LXX=5`Sr7)EldnYrkLm%(_YVP-ui3iusw(}WoQ&%n(*7Gh-4QM9In{$Uf
zgk2gh6cbqkdrRpx$T4VmHeZb}`rr}a;XJA-mjq@<8?HdLRJbmW?oBxEg-PkeH6qb=
zmRV|N2tLwxrnj&?64m_1el4+AP+b@~%UUo3p*!5$+a>1Rq-!ORvZLUnn%JIa_JOYM
zd3ljVj{cS>VkW-_v+B3u@BNRO4xjb|kus8t=l4mZcFG5WXKxZ+%zug1%OrN_&kk4G
zx7le-`c@Y$9@tV{rMY20z0*jTjE=!rkOCn*-sgq~PZ8~L@CphGtCfj(+D24Dl$@*-
zwiD*%+1dI0%N%yB%UENPhYf%MiI`<EYLViDFm@zkN+ILa88u!Kps=7UAIuZt?!;b`
zjhgjn$b{=WaRADT3rfJm88pq;s%dIk=ywlf^9Ku?vLq=NoO&l<c1Aqm`&+h+!<ovb
ziuk9Ci3MfR|NYy)gu0sNk<mW(rCL6%;fo%PTVMBQvAJb2aq-K&X`M->AUNUS#(8{0
z+2_bBgWNfUX<`o+(A1e7gJ#ZK<8Lk!H0&AGZUI|~q4ds4^{7ADE)wdS?ABvGC+r$_
zk|beYWUT~gO_PlD&+2QRHUy{LPLC=HF_PTe(OX97Puey=$(UO`A37VALQ6rL_~rz>
zQtt%O?#@oP7szihN!zIz#z#lNn+Oodq4jiLaW?H9`g{!<4e@8aNT}5=c=?&~l{OE@
z&EI&hw>1#y$~lB72LGy`wD`w#orQ$PKb_az7K_)V!y)qKa-4kF!g|A#X8Gj{CMK4h
z>q)s!twK7h_ky>s^9gy-U}~7smgiC$BQ=>sxUBog7}CER&SRZ;Tc=dMYs-0c1Bt2l
zdft0$vqAa~eLe&@6uDm@B*$9eZO3^wOYDcHPt$2sM{+8p^zyoDt(i<d53nf$kD9w#
zbJ2^bvW|wSo)Dq<quD!Q2ynP99EUrmyt*=S8g#^(^91$TjeDJKE}OX~{Ux*@@*1!{
z$m`os%fNVziL~j~&5DY)+_c#~NKtE{!v6l1vbuW01<h%9L(YDJ?f8Am8<WYDzB<HT
zXAVeVoe$<}wE%KEd0-&#)b6=eI`fO^f<s|1h0&;UHM%D1<T+2u8;r~xMGGdbJ6u{k
zIW6ulUf_f=Ha4N9qs^nn?7ek9u=cZ0?^N=eQdHeL-lK$RN9GL#M?lSaIHQ>xRis|f
z#>U<t=51bgx;Qt>dVailT2Qk`JpHxJk2;ceUGP{c{yKH0{!lw5t!G_N@Z%Gw6FZi0
z_W&b3eHpI;S6YjAe<n<O=F<>c(Z7}DlI;rqJ5IKv%NbklpXteMw%ZW7GK%Smnfa0U
zsQBeQx9FGxJ4{c;Uu;y;mWup3{8#cOWp@DP3|eC{@PBiDHI;7E6fH;z_v4k?1CfH2
z=U`M7yxIqiLq5yD#p3(ZM;f>6p~DMJp3?VUcs}VrlHLgCeOl>mUO!o#j3}CShoL6)
zKRfN~dR*jx_R(wcOiP=(8C+>J4OG*kzvpJ%Vz7^nKXSb|ew)hogG?}j*+Ru@g^mSM
zSW*PaN?gcnPdZ_(cH`yIzx)4`-IrOL4fL_K+K&#bj~ZLT(;&Tq03={Y;%AfR8kg;H
zbV>@hr$5QU#ffN~w27L-WCtrPb4R9v&s@0n!Q@aw{1sfdv}cBhg3&c=3ct<2Au8V_
zx0REO&ICQ}+!BRY-dNCK^E#Bfm=&Bx<1DAUu;x(7)riH_e<8oESBp)#>3(~#BWb!y
z!-Z*Jpg)4Z#OWVjgj^-d?^ar++xe%@iW{4ouW?i3U6%j+*(b1X@p>1i*7zZ#$(2L3
z#@^E3#df*CTb>of>vzum7gEp5h=W770neBMABjXIBoZ#!@gTCY0Y0~#V>M|P)e008
zKiuIwYtT2at4c2(n`SI5+88>&s;d1AbJbKI7)Yy;3bsW-@gIMa1fL`E8PofD_-~X_
z@Uh%if2XsWjlcWqpo7|3*=sI*+^3I@&-)SSna1<)1siB@S?d|Z+Ao^6U2faj=u@{>
z;(7d<vQ#DEDxH*9u_ErG{_M0>@<~-xFJN-|)M2ZaqB}Vm!?5->g!Q0c+tji8we3U7
zwTOj5IN90f*y6j22`$Z!nrmo3`c9}H3Qjh+JPA&o6-taDxNLo^s<0AGA+4bvQ_3aB
z=amvrbrpoOP0aj<Z_%E~ZSo4dii<inHoWD0u`qe!FmbjvH_w>n@9W0EOO4ptUp<-G
zIqwsNw>SC<yRXwWu^1jau6N4zB|OWgYW^-=24ARf&#mw{KfkBSh`d7t$FnC^uD(Ox
z++Hb(nC8`dM<wyGE%;!@teqm`eB0LDMzHc$0#71OO2AA0K4?n+425Iui2PZ?z}~<{
zcU_@7H7M*SNgp%@WOQmw<~e$K&p>aY6&nlt`9{fo<#}ZtUY`Fos7aBlw|dIP#oSw0
z5x;tMi}p7INDx3VE^M_lEG#VrQ5&~wi7TK42Ab;C+1Y1Tv&fp9W<0U*wi=xpt`AQ>
z_AZ{bJO~ik!U^xrjyWYXVfN1a9_aUm2zB-QHG5J)^y42PtL3A*+S=6O@86g`PmaaM
zdraHDTgjz!Bg?2_IS&m5joahqtPuT&073Yx0~6~ztsiU^^?jF}pWEenIks{N!Z)(Z
zH8uaJ?A~d?OvpQ&2_~A{D6Dy)-wt|>vJV@f7YqBr@gx6QXxh{-k@(o#!ZJz7)@uWr
z)CZs5+60cgn{7K(%rPpz(e)%G_G1lV%Ud7gr{X?#yUMwMe`u{J`7S~Qq23hO1y!w`
z-8~EgD8$ey*b-&kUWupY9CsNY{xSoSbjnT1iKujD@e0g!Q|u@C#ZS{V^^r=hXD4_M
z!F?dN%;|M>+)9Y2p?Owwi&T$fq@(ZhL0VaV7GXP@dY;RHKz@ke@z1kxQdLdKZyzs<
zSLoJNX}QQjc8YVOlkc)BNite|C<XwKr)*`qhAcuUW1sE__3aX-$HIF_NmJPm3Zkam
zbxZPrM(Whr8FueJ2lTh2V>@`Sqds(HW2}3)Ow6)*2<&TNiT9Wt8xrK{sP>do%~%(8
zJ>JmJ(fgfSDc3kT%^q`}8M5Q<_lBQihJQb%P{C6D_b>-q!qt_su(5HdY5rmHPqcdf
zW$fdvUM~!*MusTHsoE~uY%%sWC%q=LPPO~<UM8wxkM%DtCEEk{jJ_Zgq^n-wTu)4}
zDs6b3qotGS%V=ih>NW%K^cwLM1Bds&$y3VwE{Kr4ZukfB@CX@PK{u-|qu4^}g=^~`
zg(ep5^ji>e&W@}o*p>!d8uhv%N!VP~jpfkK`dsZj_c}LPZ-k-)9N11bDJD&+y^r<w
z`48W25%FK+-_0WH@*<xwLrR673u(XJ!9WsC@(v^t2U#FHle=g(fg#>lt<G38_lk&U
zfcL!pq-4h_`LxUZxrxS_UG#1Oo_T1K2U8bJ+~!bvcK4#fPZGDb){W8w1H5$9tAan)
zmkQ7Z-jmP@{(mn(JmXudNYCF@RS^pAoYPi(!^{=yde{5xLUQ71mxl$DXd!7>DMTNm
zvK5VAxotgXjp98$n@8kTHzPxyR-XpZyzqW+NA3`$R)PLl@MdEyCYH<Y{GdYg;p0Mg
zjh6cF*5T*)kq>mwIStb$EG&yAQ)*6oxr$F7evJ;4RTIQWK<Fi1CA6wtneP|we#FaH
znLT=}5Io22nrDD&X4cK~{u1b}-J4L5_;^F$1$wQ;Nuv@`1lr@{9wVdTa*FNhf_}qw
zJ=p4y4qv{*CTPOzDANhPySdztgu2|1b$pGdckU2qv5zFkwlkwsRsB$RDVw)x;?;QB
z?t>J#?Z=x#PydRDO7P&oO#4D0&}VSFI>HadyUZZSjex&iuAKII`~d7IO^|w<mnXPk
zyg8{l)qr2noXy9=A)=Min|CC_GU071J4uiVL)%Yx=5T(2yf;JB=5d}bOKG`}V&yl>
zR^uKU_vq}N5Xa(S@!z)B6f41MZ|7E~pY8KM6%q1Cf_}_@R;)^Q>rJL30;Lr`Po=16
zUe!hk9ur-jHm)t<-r;Y3!%7#QM7OyrSV2=R9zF`)hdv|0Pa2W7R)))2FcR1Jl@t`M
z_l}zu|6=PjOo!6TD#}_W-Fb$YDNOPnpH`BtkItD|biK*~*cn2+=x7)1_7DP^8jXf;
zq-wW}xFW3gB+ubdY^Vzh%kPwQhc(#(&Q)X*<FJT-x9+_)y~GV|ZGGyU#C+iCx+bRZ
zs=oWxDlh5%OfTqi+bozu<b3pJ4yWQ|*z+?UcLf;^Hz1OR7L64@ePwlUgt3p6^Vg2h
z+R-3r0cZfNx7lg8puwAkz{G;Rre_2%Pf$9~Bv<vRt^Y|%e`k=J^=W6(HD51M&rW|k
zYF@KB;&z&qG9s<JXXSouUE;?pK_ee6)z3X2jDFLOaVgZ~<`yQBPGzlaWwkwJ%wEk*
zgTf)b?$-EtXpIxHjW&PR-Q7iSn?yvCF|(=RL|5uonO$;Sc8w2CdhuR=M%yv^0h`N@
z5tNGEt8=NBw{520jAR_xt-CKB^*Bl_MG&r1F&SijDspdh2cG$AdS4FZNRTNsiqrU;
zGpKZw2%|CDF33@`w=PMRm5kHZ{lRgoAOC8*`o=wAPkM6u)E?U}0Mh=Lu(tj)aQ}KY
z@L5I1Q-tXGc3aw;6f>HT*ZG0KbH!~sIv$m2lKt+4`xV67aH>48_HgAXqS2x*Kaf77
z&f>ONl`l|9RrM7lPPHxVc3``L&*kxe@BRll#x9lG<HqO8`(@?DaL=*(#Uw}VHtAXL
zza+p*!>97VsQ#F57$BzTp$O5z$_Q-zV2pY6Xl6Fi6{{M%G;&%)zc5mqF{L_%Ld?v<
zkz4%9NUw#Nh#3=-E`UmG&Ya!mEcj5MdB#TVd3(0v>_zcQW=xh+S*GOLPr{z-d=#Y0
zswzx>jcGn}yY<e|r{^~p6&LfkT#=AHFNESK#5U5R5t^2l2+o?iKYlDwAX>S<U{<O!
z%V=(X2Lodi^JZ~rRZB_fNS~KfP_W`sbYU^4y*;508X&M=cE25b|G&o0GAzoji}yDj
z64FRZNP{#;BP9qX-7QErQX+^VEh>(bqKMK6(xD(FB`Gk3v>@F%a~AJ=uJ^jmw=*An
zu9=6q=Z?MCUTf|3|E-hokfNoXm5h#dGw~Kf-FnniP}rXp@~#6*@BXRUwCCQukM)=2
zOqiXzQ?TJCB#WON<4tQNPYk$KrO7;=!gk`)a^pGYQi+Zm1xFtH6B9$hwDb&bn9@w*
z{>;$e@hW``+n}g=wZ%VgVQbzvi5IsM_c5+gOiJ2LF&Mi!@qv=0K6tOYqm#`=HVz%o
z+tp$GB}hp)`O?U1f|-x|-3(&Wu|^`UOAlrGJhBu+CoSF|@6SAc9NxnaNWMR8fF100
zF1FM(GQ5j2dvn|1g^^o9mN-2Fot5&so<WX)@9p-V?cSDRR(sfgt)7`K!-KaZ{x0oA
z8$G{9UW}}bt!gG4mcEg^T7s44tn!@<eSw-bw_P!uAda?ST3#+)bpMkpTuPskUbUO&
zq-L89g}0gSn}u@ux8sSZ^4CPq3t~;BeG(?p<pOnu)E{@)3-Ix&_c!J6QKL!4r-fHL
zA~(=smCQ;9W@jaDt*w_1Xe_;cyjfnDv!^MnYw<rC{G9%KQx-myaoL^mktr%ojin*a
z(9aV0a(T*b>0ro0N6!%FQ_|kk!MTEJyuUA^!~5;?#<SYP0R|!>MVqgq4#$NKFF+vm
z7X(t#C+Lq}Bw4-WqWiOJQHtA$b>B?Ole%Khku22}?tuYq@qXBYN8W;v(CIBhY;akm
zY|TP=%jtm_XV#%vrK{p;q7(VPU~-FEli8by2%Gom=i(h}IbvugXJ(oX%Y<SSh8#x!
zyT7TfALvx&J{G=Q^%;fwg!lbw?tor2d1B~EX1+YrQy~f7X2<Cd1+FvtekR<3P4eMK
zGx8W5J)?C=_oTd>ocWr8-DQU+i~YILwN*ht6sT=TP$K>-lYTr0HiSfabw6~qT_xu!
z3C=e4foJ0F=~?A<oc9TjigD3zdkr7|JQgA+hkq!pOdgGvLUsW|sHqT>WE@<1*3nvK
z0g{sfvw-;RRQ8Go#g{jsdKweF?;RNU36z2DF!mv(I5E*?=cJ6=<l;h>&U%lZAK(1j
zFWQujm5Kb`JJ`j8ebU&+koU1{Am88Jr}N`rsa^^lK=0R}lO2bj#C(PlN0gxtld!e*
zeMfnO^zoJ?w|#zR6H}9GL3i4-XIpr|7DeXO+{-GmQb9jyf3lNaEbRmSfwjNo&Pb_G
zt}zs%B&DV{de3j=HNKK@MK}|na$~P%T`6=As?etg$K`w^`pal0sl8q@dr+*MEFNsm
z3V&sH4r8Fl!#f=<W7TI1ps_V?svK%LJRsTsxa-PU>xT}XSmI(?E7kNA>xj9Pbq8bK
za?FbF=CSpnBl;?tzQtT=j1rZ#)Cl~fRkgQ?IcBUBAHz@;db;+E^jcLO%kGJR6iwRv
zh^<x$y-cIG-$Zg&8XMh3Hum1Mn%Us$+>ckp7?x+iM5h*8nEBhYQ=SeH=lltd*?u=+
z)0;)rSTWMRNwfA{6t^Y7p!sub8~GE)>zU#vgAtxuy1M`13e1cu`{NT2be=t<T)Q%}
z9?rbj<?*qiv(@^tuitKu)!~hmXLS(V%U1|@Up$c-e^p@d)f5w4eNg1`&BcYq-(zB{
z5<SO%N1gSYsPTSbj9s#fB<CD^@9Fx?RLl};{m<WD8eeI8Lhs`n{jUN+V*Gx4pjrLx
z&x5rAc&|j#O(B%{yAj2AQOUn;nCDuIq!`SSZ>MuHBLzG1y|QClkq_Y+G1@6=T>r0-
z=V2|*EQ^rrxN|%QR6Izpny}NeU21S@NUZD)ZG2*DI#>AJMOtV|0o_NUyoif&P33{&
zkt5$)<}e%C?vAICUv*^o`ES*cn(2w5x|B>!jVfxsp3=L7T$%9^mKHqS95}yuI`0(o
z^l5pT4X=n`kln1^D>us*uhnVxC9=*cHI`PC8``Wdm%bVLy8OIti2cx^p&_i0Ek*|I
zASNME3neI-?|C*C>po}QS&%cGtY_v}b7DgP{4wx6C4;iIg`1{4QMK%BpZ_5W^*R3^
zg`FVYOmC2hoXmn>Iez-#T>&Y6v7ol-i5aQI`Z=#%AKS6+v_fBDC+E<LPPG#`(fo>y
zBfq#nVT*5Y8asZzKOA}lugRsxOD*zvXBgQoRFmiA=BAOcUlQ@LH0&V{YFa||I*$=N
zgw1*%pY82btQ4btmsXS-6^rkFSBxU{O|yH?UIyJLnjBo#PtE2@25!*HAdjF)wh<$(
z!BR>8mi?Kf&Nk;5>X$wyKeESeMh=~v{*KUDxY6Sy;(6QNT0%miv$t2-%k?;Cd+kSc
zN;YBhxPJjzI1@)QlqY<;D<CX)sAl|&iap!43QcTyN21y9&I1FKI&5NJ27*Ko>uS08
z0^L+>cEWt>*0Zf4bn26qs1F}=be2(BFJ9N#MWR{PYqJw_f<XVm{K`Z6g81|N^mFDp
z76=Ue_1P)E7kMKkjuccn_0@7H>69ne(`7HsT`N(~3=+C4u<P}AU?=a(g`%{l{=6ER
zlQMWtM70Dyp&rM&_B{@L{eS}L$<Ap=``T1gmtD8ZKs@?HwBzGIT$`~;RJ0;bkA4>}
za6x>&_{?xl6<e&RmCN(rR?g`ze^cf-e+9TR?!6)W@Sh?}l}o_)$sE_S@SCo?pz|{i
zq(NLM)twW#w<2wfL^5T)@0tA_$dw)_(4f9*#+lNwM<F5K-q~$g>HQb6AkTYtrs%8M
zURj#q3clLZRN&^S&Kmm*)OyFLJyr+#IF#*Vt<!o~{c-GEfnYHo_V}PEGIw7wl*v}H
zyJi*do}ImT(Dz3KU&Os*7eyq*q}KAHDhE8#ux+q5Srb08YP|Aq<kox5&C9rni`_5y
zQw9bGwtQ}<FPifFXxow|?#<>@bGt;@H?)?VlHp*jGG3GTts5mTbJU$CoT~VW6)ifp
zP<J6{O0&?C<rPNkrT%Z3%ja#l-CTRp<v^Y&Iu(7xn<)*I($~5kCi*vFNz(2r&1u1k
z(CMD<LT`qI%%0y0W))ktuFOB??BTvAvxw?!2>aR7(KCIxtjLf$_(tP>pJTUwQ`oTk
zn7{T&>X^%AA^y#YzN=_5vfacJAMNLcLY@T8m!VXodV3)Qz2b6TDVlTWBXjm;LBTzX
z+Jiqsu@7qlVy1d-1>Pf(1aMG`z7DgIE7hL6iZS`#M#pJ=n}0l;#6s8T0JZsz<|k+M
z!s~!28FoGN8CUO=o+SO0o!vBW8ZuM+!c3`>>>$l$<Cy=Nm6bAovj5>$P!==qLN60D
z9hE>_z8f9gJd}#$>alHcx68}QZd5dS)WR|jw1I`L3^S<3$Lyv=lr?8K-9Uegz$^PQ
z^R!n=ulCx5R|_U`a;tJM^BW?-q4NLJj>*ufhz}?yjwhzlocaQzU$B88o|j4UhjMI8
z{O0z)TO~{(KH8tK{-mTlr?FGMURF+t5&hs+0f?keRdZfLHZv>(Ht#3f8W$xNak0*+
zErWxS3PO^yvL$@jvZWF>-h?%sr-}2*Si`$7cz?7NoeuPU_g8n5;^L7j%>XVMqy;?=
z5BqN4_RhIR*h9g<Hc4YS`tDC~2UXVn*3LygX6a9W-|4RLqYl}P69n-XNeoFtrANJf
z!it=_+i&IY(1Yh);TWiMri>>>eQoOLYCWLzt1jOeG;65*h3ZwyxqW(iGF2Cra<cF~
ze!lAuRxQfNzr7pNs#Ep;dh4A1Vv$9eA%~Mvqek?{%Ve<$3442cyIWV}Lw@i{_z1$*
zb&c~5s2XPH=AkxHgW#~YDbg}ZSwKLfq%upc&6z&Aa+(wOQcBQH7FT8_8=lkyjI*7x
zV@aus0A<(DXK(+u-w8Nv?`N&R?555ZnDC)zzFijjU$MDnJfq@w+nJ~DxTI?DcX;`q
z)k1#=)eF6_&B?dY*fjG9wI`8UXgs_!iBHT71>W9sPoFG~T84goRp31=^@~b-{vEJo
zHr#(T%O}EP0+tf5sUGbLO7x%{eLh1!@o8Mh#vdDR@7vzDXS4_UNJ)V_WzavwJibx#
z;YTHp#^VcC%Han|_BJ-3-{(s>Y<;k4jze!R@=yM{SH8`b=~SnnMJbkfPoe+rR7rSZ
zrg@IFql1R+7<Np4yX0e09ZnWEJ_wU>cwQLO(NggX6S%5U(ft~`mESWMrqpZvy|9Wi
zvi)fVJ>l<1qyi#2;s&Zj8lS9b?Zwo`ac<GKa5Fx=b)Hz8_+saN+fo3pm2p&(;^JxK
zqR1kqr&^}5Zhv9ir&`n_RrzR^tq_GiYNmYmj#=g{rR}H7sOwDeuQGPE42H^bdozy?
zyS_+PdY_CqD+JZ~me!$Va1c?(uLe@Rj>p~psAX|%{$VEH_7jSDP5JQYlbBiFkH>+B
zN8yK`bC26-TFI|{hwW(5ynk%tp}z9PQ7Rk-X0>az>lm$T>`~rd1wqPp$H|Eoc?-Je
z!a_YL3GtNG)zxKSU_c&%4(6w{2H^gjd3eIjyK4gF?7IH;HDraYNk&U%+EXGWm!;CK
zV;Jdctxgw}Ljv!bO*Ab!jMpi(wk{Owrgmc=MC7J29LdrWq;y2lKurb?qRovw!82Y!
zkBt1?7%`&*wXE(v9+Od%3#sA-ZUu_D!67@Pr&{*G$U|1=g6`MKcaE-&W?=#1rZIHv
zZ|T10m-<;GEG+C?gXy1~lP;sr{!}iie6&Cql9ZMfx9X2DCPS+H6&Vm~JJ|kQB0&(s
zsKmC!%F0Tu`X|H|xQ<~421B*40;ppck)*VgbI5DSpfB%d)e(g4#=(!(lw>ZgJlXAJ
ze=1^pwVb~P%@)M?xbK`fRyofTN9m}JX>gn;e)*_8R)yod0D&_@gbK%9QedG(sC=UR
zV1bVtag$%W_Us$Clm2^z|DP}NxImGrZ$N;cLV-Fbzo;lcxvm8TRd?lOW@Z9$>G<%F
zzwUOo79Z{K&=5bDcxtC2FfD<o=kQ7b)df&KKzFsZwt_7EXMsbhF}l)2*=r_B{LP2y
z!NEa3F4yp-iM~E6!28kDSJ<{Z1Gy{cQ3T%m$7{S7$ASc0`DEkjy?cLw`*-K|ZS~VS
zGeeW&Rsie)+pW5~Iy3WGNUS^%ue!Q?eSA8*y2vOgQ!PRNqLw?rLrro*ggI(0wQF;q
ztV5-wydNn6W+uq3AmoA{?C%6l7zmxi{|yUM$KWHz4I$Mk90z-74;+Mrf>%VOXJX=X
zYrgaQ_wUc#5*O}RS^_Tcx=3nl^E54EMdJ?CFaUe-3P37DE;a!m2LNSkN+AFh`1EZ|
z>Oyx%2<c;>>EVe=84C@calw?s(qFt7)bfq-t^!qOdoow>g9k6D>Z+?RAUAK{?hiK5
z)QpCTYH@)fPh32_{q?Eh4}X|t+|%U)igum@BecM{6gREAw-*jn*JTJo`qI);9hc{=
z)C>$V;g}E}g7u6^08EUI9)6D`@~o(>MYp%}0qX1;`7aeo-tEXok1AY89~B-g<z^uW
zNG+CF4NWr02nYxyoO;wn-x!bs-~}k9AXYXsi3jL_z4(PRfQs5(X1tN5WMG0P`RdUl
zT!XOl>YT~?xn;&evaq3g&%pu6jdzEU-RxVa8{E{OcFi%u`TYCuwQU^XXX@FYie{nE
z;yBMprU|5yPq*HybKX)@Q@ejZKQ;AtwnnUV2b8|*rAa4u%z-Kj_z2*>)>c(TJ$~Gs
zsdy|Je%M(OU}zNxkU+ROg@wW=$+(oFfHegmqMn|ft!?(ZcNdXAo3m|D%?<2L$Ug&u
z0N7`N3Yh(=@EbR7B*w&C5VMW?f;PEzD<X6U2(jnRjR+VS895jgGDW{Rgc1S)foE;A
zpkYeVKGS>y#84k4t}(j0v$waf85o5Pmh-)HhvrGMS3rP~e?6%dk+`zFycy?iLix|1
zI#6BX<g_@cO4u)w+G$Z2=mkU73VURPsDy-^EDz-aAORkFISgz-svaB!jy!5@ZH0;_
z4NXm4MA~(PgO(Hu{QUrW0!TY0E|779e466sSHL)e#F>ciZOVt7oD4aiOM-$hxUcik
zKGz0Oo`Q4#2Y@14)cWhC%O-2S2f;iZqMt5n<LXL=c>4NY*VcX-8%sm_SSx{LN#cy3
z2W&W^qN6tU@D&N=qYt%bFS8?u%7ujm1QAJ<ZzpC-U_p6UTYGN&`3^KW7;_>#JOtZs
z$$qwnEY&<uNzqDVt9L_JT-3NJUz2<&%R=$*m&g74V2IHGl@;P>Rv81mc|JU$E(PRa
zZmtus2UR%0#V;!>0~kV9=-vf$17qXAp!;@nBX?p~d|+>Fefb-|%*Bgm=21pw`!EE^
z3SjF|l8>FF>$5={#?3tkj7=~c2!e+f={)e!qW*#3(auu7Q87T$G(tn`)6$rQ%#Dq!
z0CMYUCh+nKP=_#_$H&LP!NHwEuJ`VhR8&M?AVV1Y&o#H$iXm@vbBWA2X-P{PuRI(_
z-N?D^)b+YA%LfM`At8a$gggW%dDp~R7G(tzI#7wHrat+qC3sVB;T--WK=kbG`2(2-
zwkZqZo{NWXFLVP<4)}cmSzbp&?m(LWnLo(VN_l**uqL*}w#+0Yoo7n~@jU3%gsbvO
zN<4=POpH4yFJ-|%h1ciLpS8IkU@?jcMy~;Nib9c>ymZG~SJlM|L3RpIo<I{NLQYP$
zdx6Ia98N-{#8~J`MgloEb&NW!RWUI!OQPZwPyS_?0mDFuzH@MpR$~3n*=PqoTyU^_
z1-`zSsVRlj3qtX(uGGv`^2E00S=e#%f5y6qaCwY=nFlLv`n&n<U>7fS3?Na>MHu!T
zq-b+1SYnt>BfCy^c6_g1J)<Y>@AL1YAAzWlGg%f)pzAeD%SorKP{PI>8IQ^GFJGE^
zxIw26My*8$m`=e-kxnG|kKmKYNIaJK?~Y|ALiDMfs~&Y}6kx+SL&^RvFTcLNkZKi1
z;soiYFRr8FvKGe1vH&*&i!2M-(TmC2N~b#m7Y)F40L2Q1TUKxC`>zmXz0y|-oJp5-
ze$MhvlDt~NN{D{oUOA3<BZy@4^K~!u(8acZ%~bIGgIvdx9n><rsd@JFhKCI=rHqb`
zyV~2UUrK@U$e5T8&-8PL)(ii^y^v<0!SsLzR$jZ&s8)f^qbZ6+os%jyZ2l*mtE;Dp
z$%SE$V}MEk>|u8Hj<NAU2X9s!lhiZK_ZnJSc!-X!F7Qt>($no9!R2fLnK5)&kUkc6
zP(YNZt{!D+f!zwM0}iKM8E{E}R16OkK_XN(fFsqbjAbc;>cOquT>`|sAtVTp6kx=E
z|7KvzfdvxSRzKBy04$xDxL$U<)VOPL8?cKs)YRtY=7dvY9u0>dD=O&I<~?O$S%W9V
z9)cgQvDW2OYRs8Tyr&HF7+k4_6n%@o;}A1o#Mx)2r>U5k<p-tLVYmXN`Sn9;8k+r;
zQHep0Wwi(tWia)huZ55kguw^DLima4Ni(ovwIfhiSb+h<{4K2%0eziNK*0WFXxphv
z0Ki*;XGBAc9~~X7_U^K*Y#_W<RaNyYM4?7uk(=Iu3x_*iSm@^Bk_S9e@Bm;~np;>9
z;HrW~SzTRy{SV9q_Ho4#>^H|U)nW`$V8rmE15;KnLu?DINh7~C&5Wx&ZLVI$ONX5!
z0DpA;{P~F22@lfgc6Nc^OoR;G-Q9uR3Dn<dpxKzphMl1<$I6}Sxrp%bzj3e8By0b$
zEd>IaybAgtq@k-17?^w8+xOkwqbHsMhXU@>3pv%jNgcr?d6>f6Fc(Ph)xf~0b1to#
z%gfh(x5pqms5APdyPI1fobBh&)7yux(!mG6ee>)OP+359bRU<!ltSXBdnv^x;@f{-
z)8%g3sHySsI>2<mgZ!A21NQ+C9bmw2^Szj~@#^Pdvu}rMnX;#NB4O7`CbW$p0Kfpg
zQJR=tv<e3?8QB@|Co!@2M+}V(YGY#~Q3<e=B|yo&xNE#mvLjko;^FG55RN&4RU2Fo
zz;(~e&wqsp6&NcaFE1}6ldAc?Z)wM*%n=rJu-|$QqB5cfhKK1{S%E98Z2RNs8L)V&
zf%W(S9ukH<-3MSe5JrZ8$1^#J0s8>F9au5BsACe@6t9FHm4l^9Nf|&Mup(V`^~XUl
zMg#-}`DsZL+svvwFUF{kReG?S??QeNPUwofe5^WWsc~J<wqs!Q;`SljXZtdkW}^W2
zMoBm&R95c88ac0c*+r$HYtg$pO~wN=6Dt}Q7iU;#`q(Wyso^oEzqYP!ytx@~a{0UV
zjT=vT^_&U3oiG!%0XH%g<ZPPo0kHn~90L<Gv*1Pum)3%)$rtqn696v(9d~*1J5hhp
z$BV00^~>QmaqwO<h_Sr*ot0nNzQfHoT#=`mRvsI1l24WtL`UIWgxiOMw!N3*FP0Qe
zcTT(*SGC80xW?X$Y;{<KaH}|5Wx;^By}DVQ*DdxP*I0`RhE=J(t{Gp>$lVuR!C3Rr
zf^2ST`eB!#OnbHWTi%M6UnZ-z9N3>k;>9c+ixecGWx~;G_ZjdG13qzVQ;^J!t7cci
zA90=i5e1w5r0S#eW7Q-#v7KABjO~q)IH>(d_!{!X&11*(>=V4mE_tNAI`omNJfdBT
zrJS3>s4T3~%$Z+EawEd)cc0?G?h&Gl2<Obn?9mq^%8zl9!gEv?T2y)n+AFpmmCG9^
zg<ov1Q(4c5b(O!K<o|?ht2i^w$OGQy^CkJuYh|70S1t@)UF1Xyuzau}c$<Y8y1Kpm
z(kI#NCEP^LJ{j!t%b?vK)$J7mh_ey@-^B3UA9YvO&F#$$9+l^t?|g5(;$g|^FY=|(
zRAtP7s%F)SRk~RJ3d5*jJ;!Pulf`ba{u`sVbojZ8@Sc2PyEp-5<aG8P!k0XDi>>0G
z*G5EV?@KvWUC!4`Td`g)Hk60&Z>x?Csh3YQnz~sE`@!+)Bg*sp?iGiB9jr55gx`0=
zcQ%s$rHOUP2>RL%=VwaZU-aso1!jnI+vPEwzaQQQ3pWk3lYF{`Ay2rzWk&6Q-|VJ9
zqRc$&5m0NIxNvOL+?`+Aqfs$rkmT=2q_<bx`o;+F?A~m1tS)oBS+XLREC$))sA0Iu
z*pP!{cO#R7CAk-z3>#cL!@Y!XsULMN0q|ZavOM4F-lOm#cS|X_czT>9|6TgsBcu2Q
zgIG8hs(v`0{PI?@X;;22oD1g>zB9unZ{B|Kv+jKHvkwRfof$613Y_MPZ|8l3t9hyl
z@!VgAp#vj=1%te^LtKT(Zqw$)s#VS#qib-^8tvr$BDTbQy^T8J#Z7S1v5ZO(<^|o1
z4ySXsBse>ZcPbF@HLI0k4BiIO&A>g25?2}1;3L#HG`hIJ`tj_jI&jo?*3s)zHgAmF
z&raknUcZQ%30Z4nOG^uIZ150n9v)z!UGosk3YzyUDjKT*h6LDp<RK8AgJD0XR_-Yl
z&h_RMyn}s!<Pj1Qf{z5`d-3cS&2?A3;T!b8T=J4l*G&}xe;*KPd1qg-eY-};L93#x
z8+((l{OebPfU8Gf`i%ecQo(*1b=?TZ5Fo~8W@t3p?s2vGT1zYgFqQ+C2l<JJh@7{-
z7#IBb@dH8t>_#(X{r#nZ>Ux=oihAI$gS${rSU6Q5TnQ8}>X;}u&SY&^YQr#xi(o&%
z1*UW)I!1p01rio>3N{~5=u*<sm_=o*oY%|`O3i;uOC7zvQ<WZ8US6d;TM%(UICJOD
zKu?c8XL1!7wUreBV1WtT2n?~an|;B5hm(^N$oSy=0FeCU%OPujoOe1fpduiu6>U5b
z=j2qIAU{OvPtpDTw(jmC)G=>Wv$H|hU!bF_D}UvRb<jOa7K;5&(Z;IUTIlT{Co5YO
zFgMu)%e$AC*T|**-xc7ez@iDL3Anug(8v<A)6~=?q~-j7LtyqU{oTqKZEjct2Ot;(
zMi+vBW#8M_2t3#TvE(cQNx$2FeQVS?0ivJKmB*v|%5|h<`d@J)A(AfZWjpXu55SB>
zNXh65l)PQy<%I=aDXZ~bUpBZ6;4>}hGe<dIRJ|vM8}V&$a0lGrW%s8FEXrXgO^?q3
zwI4|F24-eyK<Cuv{%;H`VyMYSE6x~KR3s9k4mh$ii%kQ;O-^a)Eg|~-gsF*%)s+<%
zHnvH~8H|qdQ^$ax3+@6$E~Vmt$_CC={f;4^xsZnd(f_`#y{`A^ZeCg0b|evH$t%VS
z7am7PQ(Q9rZw$Tj90Co90$kaH6fz-1OzD900LhTgLKl#bBlBU)5J8|v#3NXxGP~Q`
z8BY>8?mpD_b6nzuxSRJpvFU?e{KU4j*RO$~_$>=o`m`2XzkmSU5AJf`?psnkX<pn8
z*7{rKp~`W-yrM!J)wQtT2!5lp^EJ-o>({TtfPi0z&K#)gt)%GD(fPT#r!BTEYfQ=7
z!0;5JKi30nFH;i}F-Ee(Z1|r^9rmv5T5*iPG2etB?b{MOEO6AD4B#I?QVOblLIykD
zs@gj^7#J7;cpO&zknT59z{diovC4BAW+41Jct$10;AF+ecN<xS`pveILk8mZZE?_;
zg`do_+l$Ky30*JMTV7j>ZuCDrJ*8tdAzZ=`8H>iYG_5t-)RT*Qzwj#RvJe+X#kI|D
z2G*4)gA(Dvg9p}?;y-{Z242s*cdBD8%>bK7Yn!#1D2Awsg~BN*qop3eBT4QO$hW4Z
z8JLR5L-19A+-*x|U}%Vo%oP#8!%gy+dR$U+Ia%9xuAK@-Irs?B<N+daXoK(r#*jz&
zF*=Hb1`u*U2*yDmxdFxn4*>|@*^7`6;QJv-tjXS<z^x;U6np4@j+9hCOG(i)i9P(J
zZ*(;1@(^UjxVX5$DTKk}gYEwQ9b!w;$7;sZKJJhT@Idb|WOdHtBG>iwN_imk9r14A
zRJ0b6lM4cvCAz{bMU*zR6N*y`cBmm1E$Hs2%Ydl>Q5$4swhW?f;%L`0sRA4iEEj+x
zr~Od1wa1VFgK5}neHlC!zlE*~a6Ny=!4(E148UQk-f43S2n)x@Lh`B^+#2wRPESq<
z`DWMG*H>2+Jz1Q)$)78=DgW6#NJyYi%9<J)YMI^CjAOh7n-7d=+i(BoA+PO9vLoy0
z<8TIc`A<~p<mM)9g<oncG~tLm+_^vu4I6SG@)i}n(G$&i7q`Di6JX)hj@?Xnk;=*x
z^sxkuw>FAGO-;ujnKhl))TGA1kSb=^`fc>f7jXqPEaZds5)Pqj1SA)mGL_ollE7xl
z_$}Y%3jl^C+)hWwVVHrxe*IZliEEy=gr+mx)H&hqkb?yaoSK??10|l*n>H)UqEC@e
z!RCye@q~!&_sGc8=IJ;HSK{M^g@vC;P7e3?QzHlw)zv?e=0#+I3X`vd%>ZI1oz9K{
za&o^LAyQsh*;#%F!vYqZ&dyF|DVG=HbQkX;H8~%{Eb9U{7rN8HUfJpbDvyke3>qaM
z2pk#~D8Rc%=98W~m!k^-DEjwrqlKknKny|mld{njh|?j9(8K{qM&KrXDlWFFa77sl
zi2$sRpMP_6Q!X5%@K_B}n^Rye!7qi7W*hC%$g22&HrmC*qZmvUAK%}#H8=xE0#$xV
zY(>85Tk7g|!Wt8Lve`Cb@#P|cm#=S>%y0>hxybLq!MhJuN^q(E7m6xKHQ`WtUxs!c
z7goKi$FHSavMGb91MYAgG+6O1`tLQ487M2TQ6gu5=6X#>M@L;9zb>la)2GWaGHubL
z40Lp>Q;m&aFk!E1YAQ=7r-=<xH)eP5LTj6BxPRaUPXfYlcz6%2@rF`Y<y2TLP{-kV
za1jbvFpu}#2qR0q=YK*z0-&GJg5|D}QL#zc0>o!Dm#$lv8q<;z7zXUGSpYk6gv;5*
z#S|d(w6xp<7`V~U^aIEL{C|SMcIX|WN<?O@d~OaJgS7tso!UHYtt-pY12{Yz_JpQ0
z+#&3)m1J>2iUL|2C3E%2OoeP`VNZzCKx_kd)T+c9NBZpKV1-s&^p;JBh^Ppf0E|Ey
znc#!P?isN1@81#NaId34NM~kje6lle<9`vQ<YTqZ#l=7k?(OM`wyK7ZPwM_Kf`py!
z8XZXK>ga53Z%5uJ_)m(>eX60`w)8FJcwmzOCaTp}7qFm1RbI2WxIj^b#3nf@=^N<i
zfPk*l6_(4A%ki4cSN!EzC|DdhuBxaYWZ8TNAz@i|El1|N0K$UC4272UN6?yueeM$2
zjN|!KE67qmX`aT%RRwFUqw}om(uh?Y^hqhOYQ(@p08{d>?A2r%fOxAQO94$QK7Neu
zT`U`QT^T#+LP=mT`;Gjx&thV(W%XG*i6m=B={okLJ9~IQ-zUoOf95s5OZmkOkLu}d
zOJ%vae{^>KgAOtq524Jc$n<Mo@B4^f_(}dll*!s%KYs%MG6|AmS-mo1VjbPxEv*Vc
z4;}#06gD4V^7VtB7vN41$is<ljOIdL1%a1G@Rk4oyrO4mj*ujh_XVKt8lcf{?z9gi
zDkv|f9he6Xz_I%cL9UOtcmDts)tiFD0u|*p*w!=MH}ILDcZcBaO>S=PyM~6qR%J`v
z-*3cbsB?Z7V-8UYhq(;vXSXA?R>*9g4h#+k|9}bkH8C;q>sL}r3fKDy9BGsCdsK;S
zkV|ZXZb!yKhR`Bor56WLfZ+ozeqO$O30)%O{Z}@&woEHrFR-+LIfA?rB(eG5Phg~B
z>OylU$QHnWGoFUDm2BVOAn@SffhV&1Ys1xovlXuieK=qWmqPqn;f8Lv7mrYB@9v%e
z1s)7TAt50M7@?gAB6BwPAhD^do03o#j>Xu7GZE*!TU(SmPkM=ya|YTpdDeXX9HaJb
zZf;J<yz0D245Z&;V<QJ(p8#?Ro?~roL`pY?U<2vTpI-w5KCs%wsDJVMXGr=O{Lch7
zMJ77BoQ+}dsjMKMdEf<{Y^4(pfg-5gn_E~A5HJmYn>#3Z-uG+%eb9z;!G#M8lPA=Y
zl8{`ajyWq3;Rhchj#-AnauWvuH=-os9&Bc8FhKHkHSU50Bsumb0;X^fpv+OQ$g1QH
z)YjBsc8kM5-_KRj1_=?V%d~ejX~>Y7h6cefD)N`$FXb@xPbqK@;H&<9*&59xw{P9r
z1e$Nlp6Gr@aU-V2zJpqWycc#l-jZU1Z-Iw_LR~m&OJpKoQi%p;LxlC~+5SwW&^+8l
zxYef6eC1~~JTmb9?`VI*0mJz!s2%qm$=iI3s4LZ8vzj2sL^y<n^-7CfwCaNQDg5~$
q192KF+Hf<#=REfR?pyuD;<`%?)=`j!HbILw<eG-QdXbv-qyGax1oG4X

diff --git a/tutorial/figures/nd_spl_3_comb3.tikz b/tutorial/figures/nd_spl_3_comb3.tikz
deleted file mode 100644
index 421f302629..0000000000
--- a/tutorial/figures/nd_spl_3_comb3.tikz
+++ /dev/null
@@ -1,25 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}] (0) at (0, -1) {\tiny $a=[1, 2]$ \\ \tiny $b=[10, 100]$ \\ \small \textcolor{red}{$\mathcal{S
-}=[a, b]$} \\ \small \textcolor{red}{$\mathcal{C}=[a, b]$}};
-		\node [style={nd_blue}] (1) at (-7.5, -7) {$a=1$ \\ $b=10~$};
-		\node [style={nd_red}] (2) at (-2.5, -7) {$a=1$ \\ $b=100$};
-		\node [style={nd_green}] (3) at (7.5, -7) {$a=2$ \\ $b=100$};
-		\node [style=none] (4) at (-2.5, -9.5) {$out=101$};
-		\node [style=none] (5) at (2.5, -9.5) {$out=12$};
-		\node [style=none] (6) at (-7.5, -9.5) {$out=11$};
-		\node [style={nd_pr}] (9) at (2.5, -7) {$a=2$ \\ $b=10~$};
-		\node [style=none] (10) at (7.5, -9.5) {$out=102$};
-		\node [style=none] (11) at (0, -12) {$out_{comb}=[11, 101, 12, 102]$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-		\draw [style=grey] (0) to (9);
-		\draw [style=grey] (6.center) to (11.center);
-		\draw [style=grey] (4.center) to (11.center);
-		\draw [style=grey] (5.center) to (11.center);
-		\draw [style=grey] (10.center) to (11.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_4.png b/tutorial/figures/nd_spl_4.png
deleted file mode 100644
index e900bc32988ff660ae0a654094c590401350b083..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 16849
zcmaicbyQVP*!4we1XK`dkQAj`QW})*?!I(4N(xAKcO%{1A*pnCcQ^MNfA9DH{ob`)
zF3#o5IWzOjerj)mWTnN>QSnhB5D2=2xUf6~0_O();UYf+R~Da&;=q3>HsWgb5C|I9
zzkhI$q!e5TgcKqnETHI;a=7TKIdn^cbaL&GftFcr?)W7)B70ov2Qp3LjN>txSePUI
zrzyHPsUst$_jNr~T1i269KnkC^CG?$!>mQetZn?g47&+=pV}0Tw+%?z#LiQXuUU>C
zh6cCqZ@t>mG5!12;RFTA!Rsh0DsE^Y%k$jCBTn`hGS6B#+1c4SIb99LGmL}J-@ot&
z)|Qr*W@fu9D`SNU)JRB3=;-J~L_~>7A=t<W?i|Pv+!wve-Z0P0y-9B8BgnV#@bHF)
zhM=IJ*x1;(xVW&euz&zjU!=-e3#w=}Wo6O)@v5pSon{x?qlHh9lgmpYey?U<U*GTF
zzteiZ5;n%=`1Lk<SXxr@1sWQ+`&CIzO-+7&en?2juV24zsJ~dS-|vp+S5#EIWzd%V
z`t|(sGL_wOu3WDRe~@-U{Y3Vof|8O*uDn<nAqphqEkmAsAuY~VH<CX6iUP&GwVn{T
z_UY;PFS*J}N)pHGFBA0^s>#6HK9oK7N0J-CYRZa=8g17R`M1EJG0Djv2W7+zGbol@
z-$bD!`mSzon}CnG`EUISeSLjGA|fLXM+p&;p5b9SDyqEtdR)lC!GVXTC*F$yTIlC9
zf7|iSKf4b6{QU0j_owT9+uPen@bLYf5D_skldb^t+uPftqa!CLCoeBAT&`d6y;31y
z3p_nN#lnesy&i6wn|Z*!@{6?DSy^k_+wtk?{9X?(?(Xh7Iy&shbjMi{4&ePi!wU!t
z3-9dhadB})F`AmM2TE&er-4c3<rxbL!^7AGC&*U)PvQck^JS9RhdVph+P^;!c5EW@
z?MMI{*5rI#s?`+Wyk9Mj%Rz@E@N&M^5)B=l*LKY>IXSs`@YSE;WDb+jv=*zy#&6#s
zuG2mgFV^$?b(s^vTSII%f4^zKL<}jUe55a6Cu}l9F=b7Pjh*Zc!ZOg;S8u;o5EI*;
z`lTTh@Pdh*J#T#Xj2=ni#g!HI($;XYkdTn|a;v405#_Nu#ZS>}S6A27Af*t2zi2q(
z;>jG=(qF!O`TA9%L{9JBCoZnM+*~yc4ey5=Td;Ism>@KFj^JR@A4~?lvhQOw>Z~HK
zxax$<XAdNzsS=ZufuYtNELZn*)ys*)3;ZPF#(}7NOr6x!F4yIDX6pBJ!H&@Jm?^-%
z#d=(WQvjxyo1M+#bfDUdDQl~DEZT8WB`PLHO-3fTRMW2xeOlB&JXn06U^Ey9*RJFJ
zNO>%{@ol+Jk2w*%X`C~iIQFlsk4yR%OU<`EA#Z=VKKP__va_>8zD*ZlOMiUSDE>hP
zh7uA2#;;*Hby8SR(B0dsuAzZR$SG@^K53e2b0EsZi2FiFsB3L)4ae0x6!`>G_|@u6
z=rdAe{k85O4y%RsGG+AV&wWo$Y~H?o+bo;=x!gG$f&&ghrmPq2(b@H_AQ#w_7WeC3
z0YZ`Qwn9!1D0pXQXX>{RQohJOW7E@ZHmg3_+1brd0jaL~cWms*mKGKsuqV$Ht0E=`
zF3*VqIbf5xeH(!W967a4hjR#MI1zNvFv3q~^VV%av*LPst7UCZzjdk=2$hwUM@B|~
zv0zmZQ9Pe%ddGn1t7mO3(>Y$SIT&v}U;E2)z82E1UjgpUDlO&ne)50|Z1%jrdbmA*
z^X3hMPAe-Ln^u)EdU)SQI=aOwlhHUjjqVbp`)|R|+&L&jUUvJTU`eNN3e=XsK`1FH
zy{2q9Q_i<XO^l3U<KxlzC|Frz1T!Db1{tVj(tZX92Zx8}%f3IHtBDrp#mC3*=;*ND
z9*Gr)io1zltKglAh>C*wD9P7V7#SOj3Jc@n;pOJ#xw*M<adUsoQDbAPnXNKu^M<t!
z@WwOfl;-5XLwJbG3JS!(e*H>@FmZBzK3`$b2advNFF!L_J8~aV@V-u9?SiU%^(*qE
zlAW%Pw7@V01qD}!^V7@Q8w1hk(&L{T_Y}d2J%twBj`<>C-re0{fDM0O-$zDA*DBYA
z>qQ3`6d`A5xbfo^IR)Em+x@9uPmlM-g@thK`_pCjSBDzj>1tKR5*t<U>zK<2i%oS|
zSw7xeR0054d5FVBvsXoI|8~~DBl4Q2qM{O&N3T?+<>lpt^bZY9Oih6;0#L`s#8lWa
z3UD)>-&-4|%D}*&p)tSZMFyLFhUzcxz7D27IXS6Ps_6>m!=8M&w)S_yI2juspUeB{
zp}LwisO~4lv-JQ6d3kvUM@LG|(c2gr1?3XeS9o~0Pmk`No{!)R(Cf4|kMQw7-DD%v
zox3zY-d``bdTOYtsYytf?f%Vu_>stAoz~QJe=u7Gz2fn_yI5$j2j-)pr8T^21FW?B
zHWYt-XGc6!w%k`pn@5-#SeW7mr6ncgO8p+x4sJzd<upFe#sMc_O3hx6ZYXaq5n{j8
zR8~e=B#X<R2y!-z?K+_PXYIf^Vdta#SX7b`gJRrVT+E4*RM9l?GGabpp$CC&4tT@*
zuYt$fFKa`c=~!HBG3X2PAs84P)oJr;VfAr*dbrKZ%zSN)6NGvEf$EhH>BYsxjsur8
z>pKi!;wC27U{74%`s{Tsp$FyU<fy8t=}r9@Xm8JePM6ltF`$6Qh=Y%=ZboylDT?wh
zbw_|%t}5U6I-_YSNs$GWlwy1I%}h=En{fR544EAr9Z!$hXLXMQXtkSNR@c^i)W}}}
zEC<tnfhe@(pJA=L5Fw(kzm_8ry`d#CxVpI+o039%{9%lP(W-xKZ?YKRVYKrby1<Z-
zK`<@4f8W>~1YqAh=TK5oqDWa36{wiCkdl&m*q8bM4yr$Joj(aby{;1VVP$14`Sr{8
zCP0zVO8mQYJ|-Ts@RCwBEAZQRcz9=}&piEYg-~Z_XC00GKCck~_meM^zM+M1hq@ks
zt=;MYf&$Xx59&#2yzbg<URp~^8D(Igcl7ia$Muo*#Jp}R1K5Qtu{5{qI&oy9uvc}~
z%K+5X>uvPvtQI$vgj7{kjg7a!;km&o3JI|AE=P9fI0JqTgdB9n<jzM6yR%i>ftV!S
zWz>9pULeBIYH~vOR#a33;2xaCvMY?X$E*2)Xlf8ZFlg43))!`FWs!K@WL}L&?e6Y^
z1N6@nRLZo6^($@&fE)Gk^$jQdRB690{e)v}eLR}ZACidu@X?d=8r^jzRz<$Ny!>Sq
z0s%qt(P9&Lyc*eMHFP?RAAKkHYkV*WLV|<Mml|D8$sW8vILgS3cK9NB!yd2E*`s1(
zFK<rQOG-+9|Nfm6%KvzwASwAXDM|gym)}K7#e#x@z`{E_J4>}&P$9tU0>DaQHVOta
z5w=1DL6A|^>`er(gzmBE6Dlg|-VhnRPj`1WK&;2hX&pE?xYsEtGxPKACo3H_b((En
zi~apSVD?}Q;Y%8!=H`2chg$AwbcntkhRnB6L4a+ieYOS$2GEf?bM`D86tJk*z~3&l
zxQEP&3kr6gZ4NFjF2a$rvR02I%{m`1wRqgxJ!V^2Smep1FO^{GGbgfz{53N(d-L{f
zh-(QaI%;-FiDV@@StPJ+pBs+FG1KZ_8g<Xw0Uqx&XmU90jAaT12H(E&Nab=YYDnB1
z&zE82C3+QhI8lh@ZD4F{oErLCIDee7z69YlQm+(RCfKIJLNzU|)R-7-Vq)!Wtq-xk
zNeBzGy<tzlgALzh0I%NcdL95fpRcoq#)Y`uUs*=0RQ?PN1wZSksm%hL0W0r(FjE0p
zIXKW9KQEenPs3?0^Z^7h-C%yeAU=Nh;B+t}*VebX@$W++SS2SX_vg=_#Kc7R>!W{f
z+S=OM)&>JBBa_P2qhHb7+zcK7_l@)iKwxSLiiE_(Ny6m#cxQkJU}wq2!hYhjng5QV
zf!I9UoC5cjn3VK)_X7CaXWsx~goppLhnni@4<9}xx!X}E6c!f3YY6Fg-dk-jkdZxu
zB+U;-q_IJ#EEXG;)YKZ(#QvC8kEC*k@FP<i<2l~k-iDI!r}22#{vy;)6pT8(yM&?`
zqnk(mJ5iLBB1@DWY=-?2lf^1;ad6o8-w&k0r}DT)ks_ZSV?rPvxS>2Cf_Ne%Bot>m
zP644C_;^59mPOz55q>0nbFdik%<E$ge7Y{_8^RB9{F;|?Ztt;COLK*YaXE56XRg3r
zMFoz(iAGP8jC?jy^buW>s%nc~SQrs}t7~SaCM)~jLI3&l1#pM}%vyoVK|n$ZOrm}s
zkptj(ZfZ*T{~!MjV4R9|OUT7Vs7r0}9#zB5oB2!w0|UJ7S25xW;$&bx9i5$Ie0<u>
zmWz!DX=!7{Z+G@O{ZL3-{Gt4wK6osjhqzCbOa1sfGe#`=%CtL<7WLWCAP`$y+ZMOW
z*KI@;H2>a8SNC)N_^d^(>aTKDM#m53sx~W-6mBHw)MpQ#oBOW?z1F8LCtaB3c9cIp
zd9NHTo-8`+n%)feu67A1y^&6Rov-&q#Bn3cSqSjezpTt!Uq4G#N-_yPER4|z^<oE(
zo&6;)a#~tOAx-A9HpdO*i(|~kyP$cDaHMeJ@7V^6hj4H<2e?0M8U6yt-rUmCQ-m&o
z-;1s$naobd#if3+UR6oTj#FLJHhXhEYIB^H;LrB0&-d|Ouj3gCYiuG43BTau0F$Dk
z?w;aIlgdUwS7)cDmezlxENO}2NK%c@%{5+8Yz&|8y-7&?o=e%?=UY8W8Wp8GO&`&p
z(@8DU8Gs&<zTB?i>dNTBxv}wMig8IsQV>8q8c5KH!>R9B_*&dLlGq|5;qvmzp>I8&
zX#ecBzQIFrazeKl{q5tAwpzEWyRR%R{_UemlGTS#cqJvI?~!Y*1J$ZlCX36gclUiO
znR#5v1iwF^2r)tX5z~>WBSBD@!tc#TO8U8bz0UGECZ=k`Yvo@){7>JAxHBrua+lfy
z&BnhCzL`*ur?<JX=(28cL%1AOC{VmvMXL8Ckd(|QKz@O)*MpkCS{Rgsg_Q|aQLT8!
z%Jz=zS)P>d#6;Qg)eamD%~+c^R_KKN?b#+5)Zm@`%Dcb)!^4MDzmnnc8*P0}blab=
zr1CHC@M+SAlfpmtZL+(S<Wh!<-W#JO53{gt`1^Uds%eiv#{=HJofb}Yb>)F*yWPdd
zGcoZ%mhxqEoKG${5fIq^i1Pv`x!CCVk)Gb_=)3sbiD9ttix)2(930HcKGA@@LU)Sx
z1{NFxfmm6+BtZN9+h$8LTa1S0du3$?48A08&`>b-Jf`i*#~bEPqtM!%^XHo&oclf1
z2N`jQrDcKI-{T%M({aR!iPocx?B^u>?BIzsG&I1$yP%}_0S|7p)a;5*k33nBLU?lW
zt-*d@`-GkO84JtJ5%)mcwaERI>^4s3gkpK+9hY!w1mx;!tW*o@kjEX7on1$#w^wkv
zbu4dqnvM`-XOF$EvA@5ch}((v`aQ*SPA4IH7L$>Qi3!anr(fk?r}FXyMG#~Q9h+V^
zG|0-qL8sY0u%l6;sh<lVn>RqGMf=<w9W!$_lIehD9y$gZ=(oN&BIHK2-)6simCh%y
z+^XZ{1tYdv@(X#p&#nQBBm6#NarON<(q744pg4#RH9<H5vR`s?a(^wJ_F25vdkp2W
zfHnODHnbP$nK|%B3*Wt;zIO}n{K;O;c5oo2k+}G9c(BrghRboZAE(!qVSKq1O}%<+
zf3x}4<>ut8_x8C7E;Bq2&tC8HSmwznKLo_&wCeEZTi=`RIk?Am%N@+BzT5*3|1YAM
z&gn-vZhA-bUmB7gA5U$8v^`8PQ;ni;u=?oE$d35&V*(43=+6lKAPI?bZx{z}WYGuJ
zN_e-6Z@<6ba$#3iy<>aR=;S|~EFgj~W3e-h+2~lDY^zCMqK)3zcydaPOVE|_X}S4+
z*?TM>v)Ps06nj?#USMZ;cd^ZTxxM{!^YTjxgkE&KNKeO{J@cJK0%BetSlJ<646nOx
zPq6WU_YLF5R_91+C&{Z<uWTRhE~`Sd+QiNRY=uNY?sc*ACu>=c_WAww^Khi^--kJK
z8f;ly7==ZB#vZXj40?Hayx0_|Mew)tqk^HKkr7B%?a#NQT;Kk!{{|74^z(+jae^IK
zjEzG@?>jnHju||rAfNvytzd-qzW^y!&+!VY0le5%aL8)B4k<;>5ich?mj~|FFqRWG
z6+MR4qWM$|hXwom%nYuWr8vfVKr`6P;o)Hpiy6{mL3|Z$jNII@U&(&S!y|}T(Z)m-
zh6AsO!<|>!;ZRh3C_qHme6t_7v9-0<Hsf>pcJKG-D7CfBOE^f_VniY+0lB!`Xu{PE
zyn{dz81*_q%m(lTb3I_<;o$)UCSrR`2CgALe(cQE6feAG6YFdT!Lk7(Za_dlPfyRy
zke=sFV76+xvyc-aBI4@mDm^{D--=j@I*AYI!Qr9xLj8BO?DrrY#s%*TBI<v!0Z50*
zKro@z=+IFthYBw?jop>VVgiDBfU>p`KENff-JWlUlkmqmzbn84_cGqBV=I1`tVpzH
zuI6FIA08i%md;-{i_!0>m!kkb4-6E>hX4G#>i~uBgRJP|$B&>Il7ti({3a+nn;hgK
zwY4~&9f$}Zs0S4ssa$y`DE6z~P#;?d2hBRGR8YyP|M>8M^hsXxExl&@xCDZ~P*1Q4
z2rj?}<Zd9|`n6pWoX*B#JY-{I69H-p!nho$0fU=co14GXYrcSRiQn%J{_8;gu2ryP
zePKizii#60?#`(GWXD;uRjaZUWUD4pffz*9H8pVG{wt^~wt6-hVH%zw^+V|gVq;=#
zI0+>QMf?mnP_w0{Am6gH*ZtAnf*in%HOT`Sod)u_sS$k081Uu_3Lt>$^rm@((Hp8?
zkj~}-5>D`nX=(p{$x2V=(@S_@0Z||~1ySNO9zk!noGf_VjEa)gs>;gW0|OFYzTk5^
zS%frv9x-GFg$58mpP!!-5T<l?%Ylg*QgcFY0Ahej8kKa)46}5J)lzd|adDH|<sPU8
zpeFPnVu`J;$TAh8M6=cW*}ag<7X8G{O~UOY`6}MYplTN6_n{#nSYA_lgrAg2f!8bB
zGDe4hbZm2b`}$~6LqUNBR9uQSC2#~@f)kgNl!SqS0hYRRG(Omq5W%N~AnNrys5vk)
zFp?*@qXs(N&p*kODxJ=5nUtHmdE5r0pR*L6>63fGBg_Xc0Bjpn<>ZE(tQPA3)Ie28
zNYWP;G$ke|T@^n#ZuCcj<fO%RJs?5K^Wml<BO{}+QJu{Hof)v?zptuv6hJ_x;pNrZ
z)YO!kN;E4P36{L3=F$fN&3GgwF+H8(iHFZcS;WhQS%m)eP|_T-Pd%uXB(XtVc$UJ5
zxC77$sLH+@vM2v5w5D=9KWhgeH^oyqWtvhX-j$WO@E5h`5D<A<Sy_#y@q!9oXjs@3
zfc{EDlu*&=+0^gw0%NAEpmHcBH5?NYBNT`M;xS2lOeX`9z#(w1aQ+S^-OX4yfkd;_
z^M1#nv97MJxOhK9z&Gc#fI51><77p^!QleHy=WLA9xg7Y+l46}EwaBSq20ewP|aA%
zlFioU>A@A%pBdCVR8&;Z(9l33;*a3>VPlrWp`Sm0?(FRJ_lpyU_l2{}rnl;?MZD|{
zeHi!%-2=r$CMKroG93{9KZ3bI+WY$Y78Vw|yWt@q@UE_|-XoNkl|9)SCV+@bNYK#J
z^En?8Lh9@5Rn^tMl=V^YND@|d)JL*J8A^GAY=798nwt9gXHdolC16O#)pZ<<BcCc9
z#Kyp__d9)Lp~3(`Uq6;vRUTzW_dCpHW=f6(w#x6*Mg7m$Mfn(^hA3Ep6pU6IkSftD
zM%#YKy66-mbOQlP?1<6I5VcCQmC<$sZC%s}AS(n*EDT(PuL|G+7ZKJ)all1jx%7-y
zIT%#|DU7y;nCqgA|1cO!tQTBFt_pYn7g5$l)fu7K2vlK1x(nh6#-aKh-I3@&2?n}K
z<b)GAnZMbR>m{%SqhX27F<MceREhr4TN8iN8``ZqRsAA?^RKThIbH%A9ST)g47eX+
zEH&sGM2?QjvDR5)R>){efw3-13%)0y3NzGO_<>QC$JX8*N&1uEmEKe}aRO(Qk1aXs
zP|_55QxK3Rp;zTOc6Pra>6JPM;~OV%>UY+gAr9gD1(9R?B+%2FBIT1L1lb=lLKWg<
zKoB|p&*VJ4sf;^DTj6iE<M2cH6S$HoTb=c<;HwZ(0)obAaXCUeO9VRGyI&FaN_8<p
zBTg7?{rqglA>dav6F56FR??-364=BIL1~W=BOfGW*r+1CB*VIlAb|$e7Kq|`QE_p@
z?Cd8hs$NJ&RtYKu#5L9B<zwUH3UYFhww7!ggdE^ZZf{S|7J!;&X6CziH}ISU!#K_t
zh`yrPS}jg&!2Za2vqPlcCU<ypn>$w@K;^u*D`CI?ri~3g87yY!f%2>(!&m!3fGwB%
z(=u_(Y>B<-z8&Jy(q1YLPug~Ng8I*@Ziu|^Z&1=EC!5XbWki%{?kE3sM{ef>F`a9x
ztIMnESXdb&I?~aM(W8)eDKS9zLR_5laeB9)|9#a`OF)<%z9Glw{9@^A;zd8}jq$$M
z82LVN5gr_2Nl6bjHz#_;#Kf(wUjNGXziRmk`_Q8Y{?$n*i>I@*Mv@cNu4*c(4h%p!
zy|grQ_L18Y4#|#lGyMzSMyr=n0&MHk<0^k0y@t9vD4)BzNwafs#JdE(tU{EC=*9{Z
z&Gr}b3nWG*;vMN3w5}{{2m&y8Gi--KzkZqQ$L-9J-ZWKHe3Uc^rIt#fXz`xTeFH)O
z?sxBO0m^{lygl)zl?i_q4C2nl<`_w^@fx0-V}Bsq-5D#}UZ+j7T=#qawjpqYL5d-2
zz7*1AK|(LP8_u^uX>>}UsmrIm;SuRNTKqTb`|Zj7V!3JZE_ye2nZ*i&e9-Rc<`+D(
z?b2nuI+!JReb%SAJWDPnRedn7qxP3KGAatQ;*Uz17K)0Jl6IAGEI=d9RH7k#3d%JK
zu)?h#n`f0q-ye}KQ%P<Vs-)w)J63IudgU>XP#tZZ;#_vbnXN!y>bH(Eb$1^F>H??3
z4X*7Sv*7OmH`}d=4zchkU*GGyAJ|;L1dD{frktFdv>SajB4n+xMLA0KUc)%xV*NY2
z*&P%e#nloexxkn>1pH)APagxu0;k;se2}vV{KpSNXuS1@1M3@}_dbu0kN*5%)dxOT
zy$<Zq{pn1iBB#{AZJ4a-lgCcq!RvT2RN+evQoL@Sz!fYGD`X!|hxZNxQ9a3CXpx>{
z6UvGSb<8%R^X$JtD@`ham=qWjp5E&~(jTDE5<rNmb}{HNeVT2kmZmF$U|nZD(?d@e
z9{%;^`ChD@tZYO-()jL0>*HN~#gBFG#T`qlUpW+`?lCphT#{*L2Hb3+pQ`dUH#b9x
zdB1$-1#^xASpl-odm5TQ6B8DUwh5A3enD8;&0qN4*mLS~6AwOOe=cs>nh7dBoR|+I
zIOH=O%g}Cd3tEWTfwNs{7ckk5giakVHuEYXcCiZD5pjRo+iOu#bA7y<1uKPk-BBV?
zNxedY^dZ)KwogC9pzS%ePp<Q-gk<Tum{u#+?fMYOTRL^&mwu+9KkS%$jH?zGsmlk0
zq~<Zqpw2jlzPWUFQ@Nr0I8Tq)p|<M_=GJ{B0(Oe9k`M3Szu%DUKkmE6y=IQGw(MMa
zy&zRwryOTbJ}MS$qd$4D1WpetD>FM2LHV&Rr&$#uM6*x2^}%^BoW&Rs!Ln%fhnnw3
zu`~%a80kUNWhNF2HIfaIQIgf{Ix0HOCmQETOTg{^GQ+in06%nVmFc!FweQzGy7>|H
z079TbtNH9uhwt6d{9Dj+VT8WK1D>>8wFHmFxSTKkh`UllO+;<!4V%WrGL!cKhLm^O
zpAtT4mbHK{xfpoN8#@Eg;3zf^O&?^<jk3&Aw}Y8T=~OO&tqtVJ`k?o65M22vcKu#|
z>LiypuMBNrrlkATm0|FgTsIe&fb?*M63_`TdK2r3)TK0UI-JBS21+qYo22ld7)n=W
zNaFzFxth>P>w9*!tBRLTC0`1b&{L)BYHKn0NlYxv>9zgsx{lXz@x7dn4%9&8s$K(P
z6b&X0><hx8R<zalCoY^*uI(B|XJQT_4p4pgTN(Z=bec6FoztL?6A8gG#+j}l78Mgy
z=XL#tpaZ-agG<Otccy~cs7~KPnAutFI+b+Zj76;xNij|Y+X<|y=;TK~XjT1t5;>wT
zljU6X$wz7p`6)>I0RqdMSpn#{)eP_^?<{h1Hzg#XC-7P)ZkR_`fs=2bbq8XtFYC8%
ze)s@ToOxR{s$BiM7~Nf`$y^CBOoEGHn_uHoQ&Qj$s0y6zfk8TbVltT0mzbuKnVU=X
z#q>k3t--n-5%&{jv`m8i_#>oY2o@(PX%1M9<kiJX9*YIjW6%)g<__nv=L;LUJ`19C
zxpw=)cE9k6kX^LWX1zDm=;JfkPp&!UfItHKcMpHb=c+)w(d%Sd?=1AvudEC<hu%TQ
z429@Q=#E8GoBiul_-Dk0lm1AoGPYW1C^a%chq$=N41FAGvRxN7;ASP{*d9rr9-DBo
zv5QpKv&$>Vs<a&>iRNuNi9wZ^2R+hz%u3~$KJ4yHdX(nH|K$Pz!!(<|17osZ)tKu(
zLuF6qHC<`v4-+;sbBu8Nel}iMH8OZ%0`t7ng+f0btILM;=rZ!~@PwuFmlPF!I94~z
zR4_TL^S9RF@&4p-b8>gg&githzFxdM{(I0Qj<zWJBSyZ5UpA9=uHavA-I8hSr{cJg
z1VLaIp58iWbnh+Ss9YNccj$t4rK`&$Y4O~Kgp`!$(db8+C)Y3k<{b3zyPi<Ob=qS=
z!!J@&mPc7?|GLUB<;5kb&+S=XN|Uk{OuLFf5Af>d{`&Y?+`|WTv<D1nUx}X)3E0I@
zg%Nt#zA0|VuvhfCHFc`=InMA=CM?xdifyXnmdXm)6li7h&;{~TowIEb)A8M<e?6S5
z4GC&pV>a)cLw6Uk+Ux$aV%4~p%z+?L%H{V2vvec;_44{9mQr`#q(*$H+C;-w6XNi?
zkEX}N&_8`-7?;c(Z+>-P1xjD;l(g9z$R36+cT35R<#jq+`0vcwp!o2kH}%yE_*w)8
zV{y!M2>dNKQ;_WlY@S6k?r(aTDV)}zYi>2?t*i6&6(f*EuU-Z7@mN}mlS<t;oi9%E
zIzd5IR`p(>sLTLFD1@l!sXUuvw!v|DDD<}(d3k)3&Q5}YSvmN^$PhscqO*&{_s1Xn
zE;m-IltQL9VH)k;g?V{X`DG%;y&s+MG^!D~o&K`3?j}Y>fmYpgy@Z4W6DupU@cI&k
z-EN{A)Po0`P$%p_^XpI=gh=uU4GV7gJLg5N3+mT{)t1w7ed~aS5wwsuimA{^-s(zt
zw?8o9;~ygFJ|AQc)nSWw-zpQzP5;8>ylXx;m{suJy8N)*YSI12LIz_uf8sL;y?~?x
zK}6)K=8%!Y%QZAr?2P%U=o{beM7*-6R)?x8X%kAy+*R_xv2>%K$*iJeZ`jR(i$NnQ
zR+L&N|9wz>uj?b+IztNqdoq#RPWaPvVQ;UW3M1OJF8FdvHScYFmoL(Z`7*5Lo11U6
zGW*egM^y#~2Tq3r&OtOt%>9vX$qfraGEB1lBeBIa-qzdpj*go=uzIHSC4BNiduqU;
zi#$t;xk^a8wtgx>;15m#aGsaP?wDkvzc#HG%s@^mlg>wE!L68rCZG9^`^#7U;Ut27
z@4|eOvD(z62BT#}=hBiA)#mnlmO%1)DM$3s=YeEBIv*5qyTpF-;xsy*u8A<;&`wk`
z;r`Tak?LtCReGqsnSPV(HD6a~A3p*aYxueiIyLCH3vCsT&ej;xGVbr{r6`SZYm&X0
zm{@R{3FJf$Ud(YjWffnuGQ9dwHauc>GOWR|xX?=5da;>Ih-GiG0B;>h;2E9l$aFT^
z{zk)GdDQjlLICzuTU2C;ztAR?TpJj!^Xhgzr=xw0_1(KLQsmhj0`ran*1d8$p>7Kb
ziklyejY*FY9S`xxOE_=a=!i}EGb$cctRiL*HVu$u5)$w%XKIyGO3~B(m5vVyt{!Yp
zFrPs0Tmh6Ks*gV2d3at&tv6^M*=$#^X%O@0%)M~H&X>hgP?p29;J)Yyp?dQCTp&R$
zoq}sPZAy<E6lY^yP!%2ZH$JeRB$r2dT9&2mfX>NL>PK6us^X2)`iSEi06>R>oZ<CT
zbE*zGI0$=kYMS)%Q)+8}sIf8M@q|Qvh&0F3U{>ctXJ<2<FCio&WmtZCtfb1@$f)Np
zq%Amj)F;_;TKe!h!k&5G>IKo3+vyr5h&5+D2+a#$uVJwtX^~5#`QM6^Fe@{Jl-14f
zHp03a+hQw&?LIYWYGr>H2<O$fY7rmBUZC|CR3oYuY#&fWd^FOx_}fdgf6H|Jpw_r_
z?M777<EA)2>o^0d_&3`MA0X|9%zZyEU*`7!4v>fS$>puv+~Pdghaoo&ei?T~xl`Bn
zjK;+j@NEELn7N&@6RN+U+-uJ_=UaRH?N4X^<jnV+6J)?z=()7I3G2<qMc+W&@V!R8
z)s)l{qf+)(d0#=uy68u4%-kM@;>vV>uPbrP+DSPVwmOR(mx^e?F6$=Q&d<6ZqZ#>a
zN|7(8jc2FHSU!%UKap^NHp(5ZRJWOJzwC63JIX`)t{LX~n$^xeK~X^gg@OS=lUQOF
zMNljL=QnanB8n1Olsgk5*MbwSkY+xAVHIU%W0v~Wj})EzS@XGdxwG?~AlIh+k&Psy
ztn@0N7m<YDLs7wcdgUE9nA0oIyHY!++ai(ud&~p(jdm0WY0;0UD4AR9Go^V}o`(-S
z(b~N#o!0R5DDYkj%|jl!`PQV;A<{x(n}%(i_1<3tG3E}r9TuD!_2={2S@H!XhiNHX
z?yW6%M@hs|VO0ey%axV#bBhV>khT%6MugItoJ^X#PR9ogLfdNGAaXjo;l?)jk-j=a
zB%=HEjr=Is3~gNCwJ_SpbHzE|1C_G;(bG3=r*{|#B(8~Rw`cR?Ons{uYjq{1nQ0Lb
z?Xbko_0v4b%hQuP3ETLR=!|wq`i~O@&PVjui8)p$P>F+~z%w!F7zim7Q|6PY)qYNH
zuGW8Tu83#uDi6|REy-~?bq#pF9T2Yt#*pRRJ*Rkkk&Uqmg>4S&rT!+=oc5yPhBNx_
z4w6HyFVMXkj>vOg;rJWO_K7Z0lJ;DkiD0Q@YrOL**np8X4GsloH5Lw@Bcnt_re)^+
z>y<@(y@ZvG87xdF4foUw=*wleQX5i{lRt;V*kn@rMOeIF<)w0*;4uo0Fy)kzavVcd
zQ&okeNlxaM{IvBI&d)AB-(B}UEA`Qgd9P!KxV}Yj>-xeq{u}muMCRH^(d1b{frsns
zwZTM1IlZ(989$It`%WPl8uOKvmWDM;#wvfWvH3mQ<WyqogvVi+06jdM)I3TYfA=Q+
z6A_may_X87>+f*h3%B4~HEX*nu13taRj($J<TCJD)_t0Nz`=qI_V06K9GA`axc$%+
z2gi^=#cIjZR4jG786@r|Vd=ka9vXa|0@uj443~p=FWRK<@0aso(nNgY0!>1I`7!wA
zE7(C51?ygxg4x8`2NFd{JM;?+)l}Ad8p}B+)63vlW?Tb40w)UUdjJXB^M6z<4g)4#
zo%i#M5CihgaY~+j1L*NBy#<4$t%Q8(F*rAu<d!-SIVew~?x<n5VbR?I%Xpjkj`xaa
zk$29j*_I(Y?;2+`486&fM|-L5_9A~*DK^$|X|d5M|GVv|Ysfa_v)t<ZH@vTy>7NS5
zm5~0`)4bAZO%JDZO71S<zU8>gt<4UG`N7_;te$acxAsqrk3WAJh-q*=t~S9;QgRc$
z!y;g!V#oQbm_EDjdo`?6U7GnUZK=U?61w-|Y4B)ycXkdP?NhzfkW91pG5ttbST`V)
zs3ho6JUk(|BILqi=UyC9w?y42TdCF>4>GLtEbO(#3V6G2E2qRS$E%q(dQT5e*~*Ha
z#1E)ub<&&FOm6^~eSx>Cs{FgrR&7Qtn%|Qa4)R1vLkVHrH<~M93h{a1=s6DVP88D;
ze|F?3{j+UyyuJD=TU%7rctFCrs3B`vaAY;+IfULSuv^bmH{r^U{^2QHKF!>;=$iR0
z6cJZ%Vn|<Md6C=M9sja~7aAWKq-VG0`Sctw$oWWJ)${zJHZ!PWky8&zo-+lttWal*
zNBJ29l*pSoW;>@JPvDe<gvN(T!cPLlHTNF7xma)u%}nFsyxeXp@nAC3r-d87`O}IO
zUxj|D1KQ)0XDY+L$CF&w?0$R*3S!M!a97=yHf2M<{0sY{lV=iJH8?)5T~O%BG7#3-
zc-Q5Q={hO6_%iv*&uZ!Zt2zzbXF!X1YH(D$StI7pP*cNfb~u&nPV6F>8fp^@!Fp1a
z&|_YnQsWR5(!zoy^jM2nu^i4mM?*{Te;(A+-oCOKB1!+wg5lnF4-1PWd%Ukxn&?xN
zmzwM_S6pScM_&ocMR8^(24qNoEAW~Gl&I!C?@Jp4@B_~ihjGlm4?lRL4Y?(rdV?hZ
zJy^6sJ`sOcL7eLyIXi)lWC7p68!4FUl8=ruUHawGuafC#{i@${MU%JWV=LBg8;0E{
zxJ$EblU`Glu963^Xrr-}eO^lD*=o9;O)Sg5a|bTtj`SX`_}LW7EHr}D39rer$@-oF
z-yG6zTrpc>2Qj_2Tn;1=wTP3owZC0p6YFCbNAkuaJiWM(biewX09^(AHrG*)w{8!1
zGS3YlW8)kfr!E5%s+eVs=lR-gc31ing;WG7Yb@?5?o~2+MXo$qd&!@K8Z_yDT;ISz
znMvmd7x~#L@~Nwf3y<rGVnT=%u#^I5!DB7MkL3nNX11XLx72H@<9pbsyyp5{Px9MQ
zc287hqojP~K?~(`7vV{cw@J4xRpwTXj%=8aA4S%!%JA`M5KXIb1#<5@Rl!VI^R43h
z*BqtUVwOvleU1kkRN>wajA{y1o^4)igUi@}&US{Rwr`WZvCk**0gLF_w>ahdGdtx&
zx=jllh^c8Xr;I8<yxiP3VOZp+p}2hdOAj^--tSta3S}%1=O<G7H`-_*5RClqZ@w(>
zE-vsA)E7{^Qa@xH9BkVyim4ie`z)j&RNR6HDWBa$Z<)XNkbrj)udS^!-Ft7RV%z5R
zXeFkzifa2&YU^ub?B%y4gx8f-%#ijW&8hKtGv~jB_Iv&GCUBp{4(YSl#G44#H#cd%
z|CTK_v9j_?kNYqbt-vs@b6ItJw>U5|B&V#*&K`Tm%jxK_w@{e!C{<&@js&UZcAPlM
zk;;_iT<%3r)+z-oA)0Rf!|TGr^@ZNa=7+ycf5yge`8q#6-eT>0NzqzeZ%H{FekzE1
zoehedwdEEorQi2eMzk9Urwj$6TfDGW4Sz4`2`{AX*VL7(8ClL3s$H2mC@FM2@!Z~b
zA<<+Jg~(b0s8h(3c8$85&`Zcj7O97?BP}bxDw2^nt?s~huB1p%5Bs;DDp{p$w|}BN
zse){njkZ}i>A5nmaM(i@Yqd1KLhUEnEon=J2lu<ti<_4rP&k#T+j@8o=7Y6?u6$^%
z$74^e#Zt9LPvi5<Z3K?YqQ7~8X&o^B8d|=it<Ii(d`-;-&!{rSPgyy%zbV@@yEI4r
zNj77uCMVibo|;Dn2w7dkli9O|EMlTBvoxklImx-AVkkr6Y442+SL)>eJ5gEr==9O~
zA^swN6zvSv`SDc4m%GWmG4$NV^5mEGJofJV#+t(sh-_07?A5QixSb;&KR*>Q2x+C5
zo(|Mpj}DJqURb&rHC|Nz1P5@MIOFE-M_y{Gmig~RL@_<{sv45h+MPj5g!$SM8z;PN
zzKTC^_>@MQR4{0zX;#r|$li+=*A>LN+nj5E{o8IB5_?1js%QK|z}l(eqMX)&R;%+Z
zy`TBa+}xHi%MHf_dq9>j-T~*2wgl|to+r!2ks1vzCPsEs3vWuw|3)n@D*6H`xO392
zm(ls!^sY93L~FCnu+@NSx#ey71NGBa29ogWAxu0oovA8m>E`^Bl7n52!humP;<N3z
zVU5<?SSW)L-pg|FYi|3F=e>Y>_^!=bNoBgE;HCuDvPv<Eh;tDglRTYmI>FuWDG|XR
z1}IYlLkqvV>p5WWXdndzHxJvVkB9TlC8eb!1FpM=Ectc*HOT3ml*oM@ceFTYeL<1%
z2nYxj4KNg9MtUy|kBw`rJ6?AW7np7Ljvl+O2qEgr-c?UA`%1ij3FG}mdYTs|xx({4
zJq!b?pIdDjrwwZpt8LX>)gUk#8E`w~T`aE4RU57Vc}yTt_>S4lBZ&N#-nPNab_oyj
zjA=J)ILR$Ei;IfPM++{c78r4Vf;_!!$z!6(_)B=JBMmv-?m|P=89jW>`xl4?D=Xip
z*XUV4_5LAC<#Z@Yb_yR(W}jXXFRYTijw$3*ehfgh7il(HdEG5s2Zu?Vv(k<pRZp{|
zP=c6P*GYMFqm_JT^1^XFphNcsp`rV)Ne7!OYc02@3oAp4QnWCNvPmbKELhlpOM>f>
z=HkAz<2s_c0uoXayZD?aXE^REdybN$O+CDG)_Dw4A?BX<FZ>?_fS_P%iYqf{c5>$Q
z)o#tyhQMfq#G5b%B)dIX<GUmDBP#1z>M}^%ptzRXQ*x(8V9IC(A$@N;-f}O)VT~E<
zWof6Nn80DZb+fQA?IM6G5gQ)v?5;KZKh+7f_a9vLne5CBrd<h$Gt>ZC(3$tbu2LH}
zxpoExPZ@D!rj7v@v<K#cu&CMC*cPe6UfGGt`PX`Ol>+u-Z>utTS$9TOmfh}}KP8%H
zQuDryfEK5-yi8egTU%Q*ngCroXy&V`&Rn54ZD{?Nprl?hh>vr3=is__?V?uj5D-X~
zmrqA{bQ0&P8IY2m3dx1z+ua?tRoACrAx{x|;c!4bWUz+1H{KV;6ozGQZ;znq@~V1d
z;_h-E5PKQ!rYHyEsrU({Z=?MA;_0=zK_wa6mGA80PkD+;*{0SHMH>{W_L5CKJv|?W
zGt@m$D2pDbu0A-QA6b{;qbYq^5C5vZ-}?Y}J0m0XtQ4V!3v~1iD#a8XTvE+yHNLGZ
zd*v(AaJaA))l#h?LVzeF;+>FH58w3E5pBcShCx@-t+0}rg9B^n&#(=$_wRR<heAEY
zoa%D+*9L;FYprKMX=i3*x@cF#9n>GAqN4KLx#MFzB4l09Y{6C<QG&XCentjq*Kz1`
zZ*`i7g<XpHtAtk1uA__X-A<2Re(K~40|RETrxml{6i(_e#O3TKEPDdbI8d8OWW20R
z$`7mcQ>z#!9^bxYkd$&I-4HL3wS5kGdU_(@C{Y>X8wtwpP)iJ7ThnKPMlAf35iEoa
zxINtgV>v4oq5V{*U8dE@L_;HSWAZJDxT!Gozw)uwd@dt-pQev0{z`skX7D4v@CP7@
zz~}u^C$>#l{0!TcFmSmHH0*)+=k?QjJ$DWdX=!Odgiqms3No|RCT<Q0NDKtFi#(|(
zC9wT)xbaL`^T7<}42uSHqqhOv2TSFt&-Uwxkd%}ZJA3;&Yc1kt_ZG&F9Q|MC#*xNb
zQXe0i^$ku5Q6pdR+ak`-AUsvepRi`<*sYBfI({b@PdAyMRi<t>?n8&*;^JcCY$z1X
z^4~R~wq4~7*`Ta}@}6Vyc5lz3TC+=J^PoV19B@}in8X*?iF}rS532jJ7_1oxKxO#!
zzzEc%^Z7?#9@49Af_->}p&&00xVON)X4g&6gb{HiUe?OXzou-Upr_s!Ss~-ks-&gd
zYz4H2f8(0f*47&I{e1l6jT6|lJD*OglgnkN-IB(3X~IteTki{lnwbSniJu1q?*j$`
zpeZz95!7idt@i<gy&4`&=V`d!9*AD=m4LPg_~rNw8-s5DTkK8ig$C&a1aG5&u2nxo
zlF&BK>%To;hlxrGg%$`W$Hq9Fk1RYEQo$6Z&z&UP?>-M9inOoBq;ul)bpDxHD%H^w
z;4?;-7Y4cpz=7;=zoJWRvg-<#>ZI+YdH%<{Ptx{s`f!H#+Oaf2?fF_CdU|ZElAgfR
zlV{WQvDU}Iu|kw2P#vYk`S{+HJPeiGpB)ewI(-E1ze_7<J~H^}L>cVl@aD-Rvwl3g
z=m9u|LCo_$GBLB8H?b)EOYYOdxewq74=2=g_c&&;rd6-K7QQ>D?h8MVkZNeMH5mIH
z`_U$jcA^tNF{nnS@{@dW{zKcAxK!y;#B#{wIU4u);dhZ32Fa^7F@@xf^?>jW-4rgz
zJ6TiHK#bJ<QB~7LXW8rHiyn*UE}GHblHL(X4hJVktK=yvv^qz7T=-2a1qfiZxt$Le
zDqROB%+j#(>%TfmZUYG6u3Ib9s{bRJJG|N@CR{(VNMY6^g^nMJgJr+n=^wJYd-10<
znlLbonTbhddJLP&lQZQ^hLXfir_C+$l$PnJw^#*FA<so7Wrxq~FU7$~#+2`{u}*`X
z(S4ZZ@zNXj8_9?Ro*Y7qZHc{cdvB3kD*lCf+iW061LC$E{4$|ETLo|fzvmt6Wk<IA
zzyL}R%Fvo~i@OGXV!|t>$p<1g{G`@_;b%a>5*%FgcX^urS^LTANL(C_)0LBSSXey|
zn)zmeq%qJ7O!yc4y!iQNU6U}7TlKo`^*c8{Pukn~NZ86#b`#UYP<+`IL&EX#wl%2p
zAKD|#_DFexJ~vEAO${$q8tEILh^VWoo^b5#?C8El%tSneorbj%d7iHIfKfpu$^!Aa
z=EypCQUDDCxJ&3#FK*rAss^icHc!0sC@JC}`x?ch;2>p%+R;>!b}@%-YiB<R{33+G
zo>o>?f;+6(B2!b(Kd@jy>YL4te#d_uwOU_zkDWV`%B7*I3RrLh&~B`C#CH_rhRs^|
z?<UCf7D)XJ;s3jW%Ypn3ucKZ7c>uW=T~J(<(dwljvyZLs%cxiX9`aN7|M=Cvc54AW
z`j0p3;nRToxT@v%5(2~{CPN8Kmv!Etfj(Pl1nLQZ8NLiyGOD!7ht7b36i2Vc1)ZWb
zG1*osR-SadCg9l(`S}yjzhbljL9PQZBLSxl;T!OI#w{T)ZvhMR6DQ|Fo43xF!|jcY
z2f!RY-x_8CA0VDNrw{C^C@%-JfUUM>r^6&)-{%4^AL0R%95DUIw@1@mc>t$09T6Sh
z(A->IU43o^X@JZM@XWS{63JVxK(OM%L+rh^e)pa1M$4}s5boU}5rFcOdj(Rf_`%In
z7r^-{AmM0oI<#|eC~4_gSa<*ux`%WyM>%fIsOV@oKp}jC?iDd1lUJ{4WoLH=827o?
zuY9Prd;AL`vYOnlOCuxYKmwgJ(F(j$lzg@v(B{Po_##d&>FepqvC#ix9O`uiD5-d>
z$@DBOX=`cm($kl&Vn)e!gu2~bn5n5HDy}1D#?b-ap}m{|b{#Y~xu995W@bITy=UZk
z00V&4H>)e8)j_9^x&krLYpEvM9st|upH8#3)(L2RlG!b%O4PE8icledq(=gzoq$^f
zG&i@qs#;n^FJG41ZGHg?x93P0Jg#ROf3n5q=H>`EtQ6(t)q(gXG7>u;PWVR(XpRFe
zcSw&p*luOzsZM{i`^$YK2;gr0Q+-NFU0z>1+uN@nr$j_Vq@;iiQAhNxa6R7wi4qv>
z1qq+W)=(m#Pyp&*A?-)+`zyNm!CxdCv^d3pN(9tCiXUpOH2nSj!TVXT5+?JMal2g<
z08&=;z($*cy}d?@8(Vl^NLW~_!|rQ=mxuFpZSL3futm_jdJggJDEPFnxCr!1yHZ}k
zH}K&jD>LX(@mX19)YSQ4>{Fe*ygYL#^zEBBr!LKaU<jB{$8$A<v$GAxFraDxMw`90
znJpF$A*H4kL(H8bX>z?ec?UUIZfm>h1r)Sr?SNmmS6A-1uMGMsK>Wf!<Av3d4CEky
zc-`!Bn)NlF{(%mN5f&<q27%NJH0|mv=i|VZtE-!v-WZ|(^7DfSk}ROfnX3M`JkV)+
zIFi$wQ-ddx#+5ICEeRxtq%I_W{Q-UJxA*r1czDB!EP-uCEA8Kb3M?`*642y;ZVVfh
zlAXPFi$M4#eC!uMarKr$W5t(}k&!tu>i|2VprC-Dl9iL=a4^FJiao}YqcDAtn@=u@
zzl4X_G%Rp&1F7usOvU=iYS(kb7pCQG0=5dk=Act0fNYbPkT78ZL=@}b)chVCR4Gvv
z$dnyP=jS&aBL$?Lr>4`>Q*zOt1+%xnc))(*vRfp4lL4|{(EWN<{#-D4|6+F>_`(`k
z03e7|sFwKnJR>L12JAF1u$b)ZS3nl^;0$i;*RM!PO@&_N|1kv?`}Tq6-Me@41w@bx
zuvHLQps{i%hZzBt9n^ZmuA$0!cn+vJ0Jac7rN(4WfxHE1!Vb5$RovHsq-7XL>L&k*
zoQE*YNJvPY0Q(mRVIs-JrVb=?<=roK^eilB4;TVv2kj2$*bEHTfgEJoB6ECKlYY9l
zH%}p78uIeZn@K>g11oU4EF~_^2=rIG2M|c?mp2cXwTintJ3z{MXFCqS41<VkVyWI@
zwvt96@8RKm^qD%=MAK?IE7<Wm<3V7GfSuE#+wtsa5XhU};NVPcpz$Y&{lt~~PfrJU
zm8Puf!|4+M6q_8Ox`!8i;UqwOe3GO-WDitCZLp`N70;Js$$+SePRLn)6$d)?K)slB
zECTdFKu&!#t$o9AtCd_?$xKK03lzMuv9VciDN&J;SG+Y4GGyNa!?ZdYPy{4YAP?W~
zmNGLdjE+_~)Q|*PC%~V_p;Pbn27C}lXXop?Uns!@T3T9=f=_bKzJX<M+@G=>&y)HO
zK*5>a+S+=E2OAFflau4)O~AxK{8FafV#+!POdRs9ZyoeC52kgzf5B*gq!yTf)YIIv
zBec&ys(~C4>g~%(DE%)XIh=>ele4hc1F`HwI>1~I+ykJ6TM6fXQUyZOP|<xrE-oyj
zfdD?dl#WhYNBt+46W!?Sbin^8q3tYVv|a1|w=h?6z)K|YAwd=z9ru9^0Jc}z>}w*T
zMcoDDI}C1aZUO>=^T0efQYxygnF<4tr4)TKVPR%ovugm#R>%o>5pWk^WIbyKR^xuT
zhX6TVZrjErNayo(JKGot^^B-|`5rrXg+Jz>S`21+)PyWC0OU^QtpWgHqp4-CuC9O<
z&~_L@l$x=;1N`Lx=)b=UASz0T5ePd6yic%bw6wH;$H#9Cy4aR80Nw*1bPXQTA(JWl
zzSAQpsiYPF_>;3CU>5_RV-xxVwop+{t}rMWK%kD-?IzG?f};r7yTgBTzXHwq{tG(q
zUkWE`lG4&6!2AHbDX6R80sI2q^E5Eb{9vwTA4GRRfFrM@^iOj?$`7-ELb-L@AwY}_
z;j~>72GmjDl>lQLR6dg*EJe=2mMzxXl7j=y!BGcb3v3?1P2jCV7>~&)lz51bffOCQ
z9>8gu4<Epv9U$iS@;D>{Qo<I8U3s7`0t^OlCkXUU7~spanv{WRDkrCVbTr(%|KD<r
zG*A@h<QM|a2nGS73b6XXv#>HUA|oRgG$e8|FjxaxFL>p<lT{%Bfet{jxXtH-i~-OA
yJIsZCG+UMLWRfq61ws+QD4*wKAWXR>37=gpYe4M@1%IOfA|WCzTq>yR^Zx)hHm(H#

diff --git a/tutorial/figures/nd_spl_4.tikz b/tutorial/figures/nd_spl_4.tikz
deleted file mode 100644
index 0cacdfbaa5..0000000000
--- a/tutorial/figures/nd_spl_4.tikz
+++ /dev/null
@@ -1,14 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}] (0) at (0, -2) {\tiny $a=[1, 2]$ \\ \tiny $b=[10, 100]$ \\ \small \textcolor{red}{$\mathcal{S
-}=(a, b)$}};
-		\node [style={nd_blue}] (1) at (-5, -7) {$a=1$ \\ $b=10~$};
-		\node [style={nd_green}] (3) at (5, -7) {$a=2$ \\ $b=100$};
-		\node [style=none] (6) at (-5, -9.5) {$out=11$};
-		\node [style=none] (10) at (5, -9.5) {$out=102$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (3);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_cmb_1.tikz b/tutorial/figures/nd_spl_cmb_1.tikz
deleted file mode 100644
index a8bd6992c5..0000000000
--- a/tutorial/figures/nd_spl_cmb_1.tikz
+++ /dev/null
@@ -1,24 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_white}, font={\small}] (0) at (0, -1) {$x=[1, 2, 3]$ \\ $n=[2, 3]$ \\ {\boldmath $\mathcal{S
-}=[x, n]$} \\  {\boldmath $\mathcal{C}=n$}};
-		\node [style={nd_blue}] (1) at (-10, -7) {$x=1$ \\ $n=2$};
-		\node [style={nd_red}] (2) at (-2, -7) {$x=2$ \\ $n=2$};
-		\node [style={nd_green}] (3) at (10, -7) {$x=3$ \\ $n=3$};
-		\node [style=none] (4) at (-2, -9) {$out=101$};
-		\node [style=none] (5) at (2, -9) {$out=12$};
-		\node [style=none] (6) at (-10, -9) {$square=1$};
-		\node [style={nd_pr}] (9) at (2, -7) {$x=2$ \\ $n=3$};
-		\node [style=none] (10) at (10, -9) {$out=102$};
-		\node [style={nd_sel}] (11) at (-6, -7) {$x=1$ \\ $n=3$};
-		\node [style={nd_yl}] (12) at (6, -7) {$x=3$ \\ $n=2$};
-		\node [style=none] (13) at (-6, -9) {};
-		\node [style=none] (14) at (6, -9) {};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style=grey] (0) to (1);
-		\draw [style=grey] (0) to (2);
-		\draw [style=grey] (0) to (3);
-		\draw [style=grey] (0) to (9);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/nd_spl_sm.png b/tutorial/figures/nd_spl_sm.png
deleted file mode 100644
index d4abf7b2ecd2ec91746d1522a35de4647090aa0d..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 15990
zcmb`O1zS)}w5T_YbT`u7f^>%{NOyxEUDDkhf>P2Qf^;Jt(jp~Y(%oHmzH`q%xOYGD
zAUh}4teEw#NM%J?bQBU42!hbxy_HslAQ%?#gMbVR&hQv(7J^?d9N+3VLl7$Ne?Kr#
zS_TmWQ9|#eCDc7K4l_Nqar;U88K|6)8MT@=5~U<?FxBA;mmB*?5q^l-l@VYHTbF6r
zgz94Ivb~%x)zHH%nJQ~Ao@S<ok;dYJk!a3a)PWBPaZY%AtmdH(qYa_`8F(u!Dmu56
zn#m{ME_B@Ltip)~hlLzMSt3me1zuR@z*1pR2cm?CN5C^<!BXLrh$Dx*{r`3{<V_t6
zmQ@a;uD-s$s_NO<=5T9k>%oC7O6b?5q(1Z7g+jAeslkZo-JBz%qoZ?kbIZ%^Mjd{<
zyu3Ul54Z^=DEi+cZ5^8z3knK4p6>SNYAtMe)4Pm4JUni0ZoYl{#z}-GB_$=C+TJdj
zsfYwoB2!}_pCq`tx{_fOmzFX!F)?v-C-khX4rRQyNsfz)3l4@;F+!QZRt_u>r^M>*
z?>B04q+(`{>M~~4t}?zkSvxv9GMGV28TP$8(9zYM-yBX6AX5|<@BB(9|LZe(S!HD<
zS`U>0VlWm`_E=nGWGasp4n#>yOG{55Hnv^X(i9($1$7p@OHel;lYW^48yVR50RbL<
zwcE5>n~jZakF~9^FtqQ(nkpJHvT?Qc9xM3-!A@u?KAuc|e*X3G3MMrB)BQM+Ni8Ba
zF^AFX{_3!@{SF1H`Z!GB@9$64timVV0qcbVUPZ`ZSXWi0-Ri-WK1x5IaaA>U&=*ap
zr>(8u>Y*}<?}UlOtW3T-kBW@U$jVAPPhf>dK!6BZB1k)*oCSL!sezg@e0hFeTUEvH
zx|dkwf(S+#pG8w$U460Xla!k6U*iZr1Q)#<AHTP6BMJ)(!~QaGad9OlCsR>TaT=DY
zu9om5VUd#VZ*0Ir1H;3pXlS(aWHR5lOy3w9zJxjl2bp+zlP#TF*#4kuykd;9pRe1E
z6MK5AsCe{}oeX^X>dLUmajh#D$)rGiw^L9#l@j@t?QGT1&`@4p-Vv1;6c8LNrJ|zp
z@#AKdNe>o0)qKVgqI%9mL~QJ9KE9O}R~s`kGrlqwOCDV_vyH#ydO&_?XlNpNi}hgI
zlsB;m2;3fSPVLt{-QbVDAR-|hFE%Gw>b1O34m3cJ8Mm4&QejL?=W}qYEmfjsj8e=N
zCGV;7f4VJZ@G;VW!=I%)$)<sF!Ur&mE&OcoVHN_Tf++_sb|-y(eZA)~zr4v`YW19)
znQ_0n*yZG%l*xg`hnG>IPuShx|LMH_`z4(i8A)t|^R}Xqkr91DWFF)AmL(?`3HU|y
zo=w?0Hh5eDg5>!4Ka;Hx9W4H=mE-OBt_x90zfOnWW39zl4l+KRS8k^HWRU_C0N#gf
zhpfZzxC-4ISBndxsvB=3qoNM~{vCFF->@2(dT?-1RmGWSH!hq*IR63%7nhJ#J3b`^
zDMi4GB2aww;K1khY;!zc7S}GC9tNM0138G3C`QQr2rQmFJ1QnJ42!dkK{5;^qc_;p
zn14`{Q1N8o;NaX3W??oN5D<f_P5VE0c8br6QHd!BI#pYYf$5#Ew~6EpIarND_SeVq
z3@|LQ<tO_M#Mby+N$~`6?Qo$nw}TS13L_CFDo;W}qF5<A>?{G-*Y|O<ScyZY2L3MZ
z48ms&-r2E4MU5urHpjAypyx9Eh34#h4$kGFk3%_x%;<sQ#>U3V+S;>i7LVUy*;Dp+
zb_TZ3bB`&>wUOl3CzZs|(a}TC)F33Ja2naqK6kst(xj4Z#^ke99#Bz92{MMi3L2h_
zot>S@+c$z$7zgn=IXQ4h7~;1~Xt8gE99PAam9fUd;z>%x2f+eXWyAw(41C)b77mUH
zPwvA9YH*PdTs)Ys-=D2Et%5xe?Eg%Tih)5tk8%c!&j`bwlAfBnySXV-N3{gQ!NCD9
z(WK7~9>OaTfAMg$9#@4>!g}(TvR#I1!`GO#PQ-(P@?b!f`s9n8gw0Haf%JknJG)W4
zt*Pny_O>i|2a=uL;ohFLXg20gx@DxlfrloqQo%wG>A>IYUULiz3YxX$1+T{_>2w#z
z3K=v@PD;YI8xS%k(lj!{gmT6$1qB7A)6X%$S^z2nf<#0_m^E~@yM~6MM$LN$e;x*W
z`R3l_vWxRVY8wFo;p*xNNLX}4gr)ntYQmDYw5lUtueqNd&d0#%{gn=}@SZPOeEj@3
z6NU0oNeh`O_gT3GVO_>mbGCWqmP&?(%RvaJ^O<;&(jCuFLJ5NhQ{@wrlUkLAZ6Eqj
zC@8W60s`{#s0Fy`85kUZRsmzz)z#(a=XaPjQS)*5)vH$pD}kft+(a>oIt#b~FxQQg
z$ldFw11qq=7%VkA7w6`#B`_$JmX>ae4Xio-&J=Rr7{F#unqOQLc0XDKy2F{D%*MuM
zm$<gJ*7U;%jF-X@6cswP<_ELY-@kvq5$$s7Hs-{Fm%xG-%(DwL+|g52QzK;4m9E3D
z`Sj^iWK@)(=h?=|T8~iDr<Hc!+}vCb8wEYR`+f@lAEl-9Ev{uFG23I=&rkQq>+9>M
zJ>S)eHMO*|#r)fAlke~Ei;Iffc(tw(nNQdV+4Xmp;UpZETX)yi#upc3C|X)tbhWjG
zJx;{U-yjB?*x4;LIv71D%gdueIh}YO{{GLXgzPT=`}p<IlC!HT-8>5Zzr#Zyu1mZh
zzL%F9=;^U=n~IBzOGtFZQ%Rll%+6{X7%Uaar?~xvw6tbQN=klj?Jak@8MEB5>!0zc
zkdTnHKR<cH!36_zd2(`cc6R1{eKb8a6+`mcx+@5wv{C)jhYug-Us5Bh>gx-8o|y^M
zqJ~PojB`JnukY>c1uB8@q#<u|mw<qvifNXhq*D_N7{mK-luAS7LT<JT4Wm<2Qv(B*
z!0`aHDCBnVpSlN!ED9b<=qrclpKf~_Ku1E*Es_i!9bI8jQBh%`r?>a@{)|$!BzRGL
zS{lmC5;oAUa-dT`bZX7$<>lqmIZcATe`kWk8S%hScN8mT!a~~G+9T<FN*|Jq{BAdU
zBXM6Hw_1+pji&RtPgwU2j*UGZ{XAC8;9omDWV0XuN){YY=hkR?TWjmla$A}BqQ~DK
zIzYrTN2fEXT7*Ja;o;#2CUJon^=1PR;IW<M)F7FT>U|PN>k+*_;3g#{MX+bYLjf}C
zeK5<_chFT#a(j0dH8wCw5z%8_3kM5}$I_?=OT$&Z_|tuCVnWsY6(%O;16-I1n7woX
z=c1@X)fef!c4<I79`gOOM7;mH1!cFjwN+HuOG-*AC@5G&H`LXIbbV_O=cr4Hii%PU
zMdByJ2%=Ogdf$bKii$cqGJ=MVzM|y0HIlmCA2-};A}$`_)v$WMTbvD4JTP(L6ox<D
z?2Z<jRVO+;&&`3m0>lg-AHU7(vRmmNjE0Z2WpM!4H#czv;BTf3*H=}=Gi-*TlM0K7
zh~4ev52tWUTJk6<DLp*go^Jzx$|h1r^a-dbu_tY-h9L=4)BMk$F+wFhpC`aT-}*cy
zv+4C(fZ=4(%;}8*ss()K?ED;exU#9Ksl7dG(2SX$0W_RF1$8E%H_*_M1vEP)wWzM{
z0%%Kh=6Y~X|9a}TZ>wz!eD;gRuTpXRPnl(eIda*6ig?Axm(nCjoIbi-XQif~Fsfzb
zdpWITWH(zy#mRXB8Zg1Vx3_0MS5sKt@d(-o{`i-xju5}Ca!qDTjtoJ-%RAfYpP%;v
z(!062iG=xbvC$zrJA0+UZeek8@x6iqn6xQl21QrbOCTA;Lqn>nswAYOz=V^NlZ)MM
zBmm0>3%R(s?6?S~j}k;m9~Pk^AR=yUY#b~!Rvr!lnO~(SFk5V}BNergR#K|0sHkXY
zNbXtV7ZPGI7YmgH?q#4WC5AdB1PyfT7I?V4f{cH~5QkjY5R;P1fA?o)Wd-Bqf3p^T
z&GFIPT&}r1F$M~di6&sO`E$@22xrvp^P+LS@4t~-vi-;-n$6+c{$qlBD6Tunq7k0C
ziu7wrO7XY2V#hZT-QoytQua$Nm*cV&-??d|O>$sg2ZPlOR@d>;Ppzz8o4-F)Y!ko3
z64Ovqx3;w{#NLJtV8--XLW+ut!Y_ewc*4L;4G9TZ&Ai{E&{-A<K$${&dw;L#I$N{=
zM?nEENvj-KzOlK9Z6~Ret5zoO>YW1%19dJhi!v~TTe9Hkc*@|ulam8Vn|dCl2Eqpu
z@OXFG6QL*c0Q^oC%^!}=&Xd#AuX%Vf#QdLt4-@g~jY!kapSX6gI>72^M%;}b&sOKx
z)Hs3Z^1eD492^wzy}NMec+}L;z$YY>jS#V>WMPT6#C;3D$Oq(C8SikqEai@(4@{>v
ztLDNbtPJ&+q@?N9u3(3i_HuL6Da24oD=VwO1@3?19C#3PViYV+scez^`t|D-|L4aX
ziQxIH0@d%ppZ@&$vt}{f9=!j6vfqasSiKj>$eo0&>ZFpn%8Yo1%}#|&7-OIZJHG-^
z;3eo4Gv3zW)50FD&dF(NCWBXQ7h$(~UssfrM8w63`QFuKWi11vG5zOo`Olv!_v7XM
zI0_1W$N!=S5WsXiUM<9u@>$#1OyiPA0%w(nr?>c(Bots%_}C9dN=j04%IF9v@w@9|
zOvus6DJmug7|@Byd?!k}`yz#OW)>DMG$AlFAd0}C5REaJ1uB(6F{7lHgDx~aK0ca|
zqqLYc7JBnRcg?B!rbvH}qouj|_U3dQ^t9r~j|@HsLm<<#NhX9TFBRnF%SuW*XVQU_
zKQ)xZ0#++I8Cf!iktncLm|_oA(MHlQzrEiAEnX!nX~cR&p~QwD(d^2wpygIiTx@I=
zJ-vl1+PHpFPGb<J^73lRY~s|+T7kGg^kJ|b?#+kgpkt-HJyj3k<v+Pn<>loIY<6#p
zCmS7BFd*ej^big=U1eoXs|niIgmO;C$~SDHqN2d_QFG<o0^I@%n&wT6$MaVZzs0^u
z7j(6j^-QY2D0zs^WKIDd(rA{5-gKcQk+fDfZC+KCGWr6m|7jl~6mXp{${6*Tl<x>=
zvQic=Ac@<*GkZ7>_A5Jz#w{-|FK=%D{83KDrY!6<dj&c@tsIXC)Apy4pP&E4Ls;V)
zr9!`XVr1k1%p<qO@0iF)U{Zi$1d{vE>UrLN^DmlCKDnesznf4<2CE=15B8VwJj^}Z
zN^X05drpq=#=w_SmhRqOv$gI}poV}HTKvwq-Ol!}sjVeOd!wyQ^fFQfJ1i`0dU{%&
z`85@l$wGr&R#ukS^MkXA303SHy(Y)py&-&O5M=@@GK)KlF-v-i0X*@+uXIY;qIC1|
z_5(oBIrN)yesf`xz+6bK1a=vN;H<>cLstoMm&kosMq;iKDbuP<W>`kv#RD>E)aLbi
zTr(bfC$s@c0*gLDM_nDh|Cj}M^T4H;v*lfEIq(I(@k_zXqqVg!U%yHMhci4e5l=7^
zW0L_Jc+`|2z~krt7SENpghQX;`Ec{8Nh4a?n4B>X1P^MAco^YQ|M|HX;XUi8IS+!c
z%*wCy8f;a@vL=>*xx1=cIzykp*a?+Glu;oiO=r=n=uC0fdi(x8PzZjXK5?PhxWfN{
zqm#-X2aXyM8QJ?fsx$>h#}nYk<vtWZ__I`jfq_uKz`$GJgR6fqHSO|`!=Atf0SV&&
z#EZX&he5=}Fi(IkMTrGeFarZaPwwnQAWCA_-Q_+E6pleoJ&%PBC(0)P&IO87g2m-^
zb3)~lGK`rrO#a$h-Oo?-g4_&tA@J3onHe#Ulbq~qBg{F?!u=e^z3pxHlT`^uG0y;$
zL<M8xoY2rd(5VPsY3|uti@4BG1hme97Z;M7u-7ss*E#P`FvNHKhcMN1S{?Z_nAD0o
zVV+bwi<1`HeMx`AB~t8!4xt8j&9?h`8yi#FV#&eFjCXc+g0M*H))l3sQ?bhJP#1#!
zyWr1yLlZQB31Ye?VA6r70E7p)_|a8WRX|&V2o=XJVhaZ8z!ifemVlUe(3tc6`}eE&
zFSmEb^MSLn?#S=>Pz>AoHijBF&&Hg_mUs_@4;zmBoZ^K<%7G|Blo8F%0?~bYgVf+T
zGH!FUxc=ZXHKJJzbu92gLP9<u^1Z#%AP_`sz54lS9nnSfC+rV6{9NE#<mQ6Np|qyv
zYnSm4!!|Fl#H2|JHM_gJPa3jQQ+0H7Qh`iYS96WOv7$XWoVMyc%U5P}5zOpa<4k=I
ziH~8MfY|MHy}!>+jD@AFrsfp{;pM`13RXGSC1u~xM&*HMuy}G8ymx<@oj58_K80Nd
zYXeNCU4Nzt5u%M`U%+9fBBhES1d+tLoo^{{b93wI>9MEC$Gb9z4{y%T&!?rPf=Ik}
zsY(eY^ux!G(_qyb7$_uqrlDZ#6<N`0XlMXObmDq0Ix-Rl`fqE*PV;*#P@%98@PrEr
zup_0xb#Rw;Z7C_#rrf+!a^+3&KSp2&c=C3_s*C3%BO|Rq{f`(Tp|#{^!h7Y`d@%wo
z63hgh|Lk3Gqbft9U~9{I<XKc)JUqFJv^4%3c3+&>Mb6J|&5<8OzrdXaKJ7#=K6{h?
zQ4~Ilhj12b`cqe$vL9Gm=%JfPkTECG?(Qz|&)i*HguO0G5J#;fRW85`1Iq=@`aj%M
z!`8+cD=>lxoO}ZRcI}U49SF%qv$MZ_votluB_@97M4rb;LQHIBW0U^v8;FuY1dne&
zB#AxrLOsW<g<Xv6?(Pn3r(jZuJ^&vZXaulXf&d$+8lz7A;qdYCdIcC{aNWSj95zas
zJp#S&E3T*DOT7H5D#z1*eNX@x*q3p|7xyesTt6y0Is(LM*xCeC^6quG0p3KQtFd>Y
z_I(@JV3Sf;$IBi=g23(qeZqf!(Ay+NEM%~pQ{U4skF1~Hg0GZD5P|L^g1xMP&^_yp
zYoI_)s<pw+5)|+*fxfS|w<K3{<J1G_qXc>dSO_eHD(xT1$pjjNQC(?Orp6Avdg{9O
z?_gxc6B846c6NHgF}YJmfK#iK!9PAdt)Y`}gaz*j+P(DCy;8rq+q@Q--G|3V5FJbj
z8$-bccwYlhY(p7u>w||k>FMbH>py4~6aWnLPq1Eugt-4_V-Z9JyEPIjb->@PsQBEo
z2K=Ls78d^ngb;{r13;*Gdvk-e!2LqzMpQWvihtvGh=mLftXfmDlao_TP0hTW9R(H^
z1a;OkhYgxxknmWpb_O=t-(MdqmG(L3A}_$;zg4|`2UEFoGR9%lUf0-&1P%OnIS7Ym
zqUY5D`&!ZOaA0iA-N}i1K1vZzhOtQY`i*7F0}tV>3{}xKGuBX?b`J6<uM*hYhXDwW
zY9|#X<ctPWIYdM;P}$EcKRmk1f(hJ|abbpiMTsDJ`z7@yOLtbDIHTCvB)7~g4Ic7l
zG1G-Owwph=Xhk5R5VE8Xo=kfihhyTdNtu|vHQ_8hYljbR+r7ZTc2fekxng<+A^*$;
zpKQThG7MQ#01qt19kEHiX2OyPAW7cXw>p!;+PK`Gk=Dz_m|~I)6c3<`D3!;~-w-&1
zg&7!tJU#O|OvTOVlM~A6xaKkhN|NwhFD&<V#>I8ykz7r0a~abzGe`Ztp3cOQw$_|A
z(I)qrt^5A^rl;e#v)xZ7*gHC^phi$0Pf<AbW80}Y5*+V-)SON1YdO4q&;7?P04bQu
zX6wBLLkg8t7^Ckv`6eTlgt!@=+dm5xw}!vps$EBNUCl2DOmU}r@unxN{hxo)TQ8B8
zFK&Bnew^QpyK_XX-yX&Fd*E_i<d5oJsn8ozqQuI$-Avg}sa!OryJ_K~7ieA}PH*|9
zmr6o(byPUX{>fK<(#Fq#z4Acga$ksp{|Dh1eavZQt?^TTwx3*SQd-N~85yt;j#fJS
zw+?p8v?>Jn7rZ~4>t1lX6K_lvSLS{;yf0?PLn({j+Z#$7ikdl)9n*fM|JjUrVbo+f
zn)Z4~SH4CbMOwvipWtef;KvU%Qn6;Q-V(umztLlPMZs8wDXmb!Mh6lxvrC<36oa2(
zf9Kk~TCyLsU%XhcUGR%bs#^43{I_PBv75|OYUYqfqx^*vlj&I`)|L16DTJ#%*Sno`
zeZP#_W;&*u8dwn7IC7EO^FbBdH}6wLmX`;wd<WmjGU6q-Gb_oz?YMRiDh%DcUK4wt
zDOexf9u@>zhJ_#M`y{~IX~1bBm$cs*RzVavIV-K;Z-#Z5-kkLMa^nS<W2enM#WN|D
z3lk@&lVX-XEq6;4>?GFfe{|N~H5I?TDfsqty;7d1XSv^B;PueLPg0NKOnj3MAN~z#
zunZ5$!)cCQUl31#n>S?4m)kmUvTB_%$@qz?_{C2Zitv<;-=j6y5^o8|cQ7L7rZ+Nb
zI?5u4CO+sdId^Ca%ufE!DwK1eb7Q#u#Gla_`ea#dd>tPBW|qnSwsuPER_LikdOx4y
zR<;gS5B4j%fJ_8sM8~tFJ(qizlh`k0cee71_VM|Zj@Gk@T^rAgZlkd$LFcXa2uFVe
z5U7z)t_eRG<&{aw*&e3hF)AsBNXp55U8_dkkC2*8o5qVgPO+yE!;|5wFd%%qKfZs2
zWk6Fd=RFeHwr$21@S7-@?078QJ(Sv|mR14rbN1iLl`5|V2E+9*76WfPCT3QF>SHY=
z((s)fF~J4VgAiEL4^=v~jPhbk+5DFZ7Np)$<FnEtWcH?0vfF1L%iUJW76#&mH$Rhb
zeF%&0|GbOZa^yS&$Bc8-?kT{_cmBK0JI#>TjaCv~g5ZXuWUa%nW1qY5CgT-0N+{Fy
z<mW>HpcDPwOJ7Zaz21}&X+{*cLmc1Bq@DCOj&O8B<>~2IrF@h8{&r6TI$es1g$1P9
zh5D%Sg#nJUe|?z0K8pzY&p92xP>)J`$&w^VzP-0*_TH$)HK8IaYo<hHk4Xz3#9m;l
z3T$`c$y{DsoFu&X0l!k+PQ!qq)50F`S6(63kU7bEVda;5>2;V!c88Y+kL!?nsgK|n
z1Ef60Z?9x7T3Sxe?PT`8-z^vKBq`oBy2)bLARxF>+#b%KURL+W+LtfcmpZ(SfT=`q
zRg3d$6f|3^SX#mP5Kv>Ohx@Cy*XN>x&gjU<VShFb%QQrCEznL@0d3@H@m4GABnAxu
ze1u<RmK6s+JQ15tEMs1G{%VX|>xZQdg=*n0kYE?Jfjb8G<L3smdN1KI3^wc+&+cpA
zMvddnzYx9_d=nLY^5=^bF#L<oXEsta9}KPeC38=1+PUYc+kUzq4f&K#Fw5!tnQKnl
z@FnB0h(Y4nqC4(LC`wrcnSzCLXK+xw^nZ?z#(pDRS#-9!J&KOf4?2So$=nP<*S(EF
z+>l`q)fX1lyWOL-_^w1IFyt{Zi+l=4>CGG~P5b5flr+?!EOB=saZR@IQjk^7*y_Zd
z`=^_a0?zH)Dz%T(^-~485l9LAqpiZhAdj5&wq{s6!{v704IiBf8%$t$M`#j`f`*FQ
zR$>3}LADyjR*kHcK0`#WcMZ!fN>bXe)#Kpgiy92eJ8F>Y(AZb+95M}$1E=5Cu|;*R
zIhv21(nuZ7d|oZ5&^l$AafshCdTWnFUsW|%E3-l|Ix~&^eMGp=^Gm+_fh_RoN_EI}
z_1R~}$GINM9P=bOCOp|nNE@z)ySpVnT+bb{!UlGBjhkG4jx!L+h-{F7mCSXN>eSly
z|M^FSFccoFK1XLlyX7a<Lf<2U4eL4`jnH@c8NWsxq*bPV4Oy?a_-kA@yN7y@3FtYz
zAxufKQdTzy@lDZ{?-u)Gyrq<2K}pp{nUa*Ja8~bcuNNJwtJB@7wVr0l6p-=N!wkYA
z0lHI~+cC;zjT>d{0|enBa<={;2Pf#}u{?qKVPa%HK~0mWqnfC4J!o`U`r!W@ic{H8
z2?rKw{l2c`H6hN+hr}1%`<F{IpGnrD|2<h;@nIj2F;kOXvMJc-lJayD_C1arVyEvU
zn@cZH!{sX9jPCi$()f9;5c(ElNUK!&2sAJkgggMb_%o^}+_rqMqVy}-T1fQPayK`0
zc#s1K(6OOlI05_fMt-3*DRuhe+P!c;=YJOhl9T_ImJcWUw;nt;?FgZ?y1YPhB#d8t
zwjJ)K+*ok<Zms>C#{yCy<~4J*L|Ncr4rjzTRu&(yclQ?b3HUTCVTV`GW+1mQ5M6F6
z#(>!meD!*v=f9{jD#mtf^8}hD7cXR)H?8aDD76x*IM2e&2*y(P^X-H!PCz)f3qO-B
zdRNPOY~KwB{)#vF>GsiSa*!;*lcJ#2Y3x^UA>A>2%kq<>!%{b56Dp6q9~3}bTQ;DN
z?$o^4)WnZo3Vkx?66T(>1-^eB)mLm}c(7Z~O`u3MAOBmTk%zR?rP*~~b0NV2pXeof
z8fT&0p{6Uo0r~h;>h$$-LfzWkK1cD44`;0U<MEkzzIFMn@qA@R2K_wN;9`fr|K8$@
zy;QdXeR`jr`^{vIg)A!#${<LQ-qFd5w!5_A-=^AqAE8-He-0zb-O>@}>vGuM+xRu&
zyCwV79+DSp!)!)gv80N1_))7HTiTk2^KP$uH4)ytF<EEOvXMr<@YP4+P1J&3v!60@
zfGtB){iQ(x*f;b=cVXbaYO1Ocyagi2L5WFd52Xtb^pfm979i!TGknbZy1F|0k+ayS
zD7<Vdjn&QJZtVO$<QlmbG1>aQ_q^k8TKhA<&4vcIMKnl$BEY!1dwf6uiJ37FXUh6<
z#(-Tri>Bi$u?j;13RM`05k>n24{#QGb?DI11}aiTz6IILgj#bJsXh4Y6%-rz=at6?
z2*=?;t5!45aV#kxi`6)0DvapLQJHZD?a_4>bZY+Te7Md+ga&>ij!<3Fx=4gdUU*)u
zhk3Pc4@6F=%?t2`+A(O=!AZnN4aw=5I$aW;?=71px8s;-7v@w{RxA@S@JSi8ea2ZJ
zNjE9MlEC^{u2_awq2DfOI)|NC?h%eCA?2q?_0-%_^J}iHBdPqOY-D|1-M1d3!h(XB
zmm(yquEuW=d3$R$MH+_Q=~$UqpV=wCQ8n=^5<UjA{U!2yyn5F;NSNJl4PKVMxv3u;
zit5Ka`Nk99?D)-{CMwJSB4CA;?SXgb_b%}Ct!tI(fzIh2`KGR-OciA==6l3DJKZz6
z1pa*rkaE(ue$l8dmrS)B6Vwg+z>N<%u5*km2I*6Au-NotFRO)l`28tMsmRdLUxIfv
zvmR{Ua1zm|I<U}s>z%s2&JzI32tjNpt{KtZYVzDH9I|o*N<s|wet|7$i3$b=nfLL5
z(t4*Dm7dd!t$D2$<*qp&#hlT4&YYW6Yrg4CI6O?ZC?McN%7*NF7G+#C<AU9;;v(q^
zb=Y=q6^)5^FX`u_+!=jhGrWm7dUbtK)|V06>RshZ3lH1PENt&MnclJe9YjbUZP<}z
z?>AI3(lRnqy6&(hHj+R{*lW6Uu3~1fDX0AoL7K3mRUEtBM45e^%88j$c@AAHOmuog
zze+2s+dnHVymqTA(N&PNI*N;K#;=r4lPWYH^4uhN9EoiBM~-$+qL?W*xZH;!#>%n<
z1Cb%k$`5{!<Wqca>04R<St&t)P*f}h9V+oMFfrZ!U?#~iGM1-Y^6l-;kwl*5{rNVn
zZr2OkA^UcM_N_L8sZ&zY%R2AaDtAS14e?y%QiO+7IAO2v#zdow?)^o78+lICNo*C&
z)S1qFu<K7x)})-b+b1SZY!GBZ=^#iV)3}7M_Cmu`q$A6S#qrYd)j?Tz``lL1R_V|l
zncGp7%6lOOJtn3F_Eol-fUTg`_cXYu41`5OJuD)ZFZrHR7jm%GQ7&cNT1tZZFl316
z&$BbQJ_&px&IwsEO&kcG3ZKADocTM&`xmp(nPgiqLQU1>StdEWzP!+6g%H26b)FBW
z))>Myq27Jo@Gng*lz||Jewc}b$4}=D0uCiF^%39M8052A`YGm;PWIVVu|Sj}yWc;5
zZU~MRsYGM))S(x^42#?lZ_x;9xzoCp*_06u7Ht!%*N;8uLk^L|lSx-l09jq?FD2F0
zhLw#}2+Aeud*X3l)Zd{ZX=<Imdf7j$kE*>=Rhe?FeruN$>EupxNR6MARD?M3gcDln
zx%|1}#saNJH>7*H&4syI*TR`)xc$v>v8+sY88H)^BykpRl4PooSpmC(o>xtp*HeD?
zVkBJZU*Ez*AL>Vz_;{_`J~(1_4;wVxNaio4*zG+e@aRP@rlj5=lawWFrqxmL#nU2e
zo3ceC{3)p2#KFRy0TS0y@$4?A9UGS_&<cj2K=GW)N)EliQ8tCE&-OPK1$o~jbG5IX
z;h`opq6rlclbxR?(2WghF`4PfUcBz8Xsq675<ui6^s-4&NeUQquy*8agoS2P{~W%j
zb#EUp(S7RiN&G;BSS2K2YedKwR-bv1h(1b7UObL%PC);!9mUYIusk0f5?3;E*qFue
z4h!?b)Xam?Y)EdqynLnlip`F-&b6Qo=`_>X%sbbs<xWtrJhP!Sidv1^#?B7s@>hhF
zE$s|m*J*yi_fS|yb41^hvC2|xw$kLxA6MUSBK=QC<`%6T#gI~&_S4ga^*=U!w=QZ?
z)%Bh3Z@T>cS91oiOgeMgCG%Oo?tZz^?_Q5PSXq7l5l>)7Fd0c#%^5(|inIM(Dw?aT
zZDeF&$=GF7TJh%9#L@7@3v~3@Hy$i@QCj2jPHluEF$x>+b<`hQvcFXGUv!swo7yu{
z%~BQ<mdX_VCKi^AB1}`!w=5~<oBD+<HX<{mzoV&Yzq7SLy^dOf-IA*FvCqac>?6%)
zrIoI35ka|sXxfZJ%zL_U$5$_F%9zUvS7Ie|Jv>_E^|9C29_wb_PKTsY5T(~!!>oiL
z;SNsI=fOZbE-H3x<w_KTDpvL;iihcPTk%{;tzWmc-r!FDO&Kan8DnFmyXXA%%SE#F
zk51G<P6;z(%Y4ulhPTe}vU+jbP&Th6zzn=@Nr=rCO2cP@TKLdmBT>|&2z77LW?1n)
z*ZJS0vX_=7=7~!<<H~5gNl?x7@bnb%`n|Vft!8>YiPumT9{t5?<!ege8+zYU^cZPs
z6`2>6Gzb{PeFstR)S0JyM`m-z7TQ-@blVA%tgV;VSeh!f4rj5Mq0SjXZ?#F2gL@gb
zG-XD3C^5-t_ri}l7Ym}qn&RdCdwpd02Y+%CChmAJ;gy(Hr4|Q{Kwf@ZoAZ#oU`v{Y
z=0%Z&c%gF5P?Y{ix$+leC?G0CDY{wl0wWyH4Lih$H2eNXb75#w%IMH=`!n^vxu#db
z6mfvSCY?RpJ08SPd-JSpgV}KnL*j0hvZ;wYO)X8*3ofiE-N(@F3}MnFyF#A$-4FI3
zi!N8XaX-pzJ_y2?_EIh_lVfaK+uEk_b-0F-l0coK<aljUyOx3UDS=X?d$$5}afjrK
zcS2lFHIsV?^^#PAe+)u#m5e$n7zfs;Q1{YE5b!^8=$!IhTwEY=wYj<qk$qHEDc#S{
z;16};+_!i<uK)HqIs8*&&2*l%2-_CP-p;H0xfSoMR73SY)Y5JDKTGXty3%!ar-NG5
zyM%(TTgeIpQi=OQ6Sm%~ei1=gJvuT}SzLRs?99?qpGjBw1E)v2r!`d|WAUJvqpq$b
z`Elnitdu0%%wFNRP{CAeC{LLQ3TWYTZBJ+$Eia7yI5s-u?(E(#2B?7}dtEJimmMqq
zD~hQr$EF`vC~{p>Q{7W_&UQO73|?j=U6?*TK7Pw>mHB0VePb8g;NE{yGv}|MN%o4}
zw@qH0Y0WhAsvh6Hh?&B;MjIcWez|qdD=ikkTS|~0P@P&`om!`u>874|;zJ+TFQx_q
ziHfeiD~<VtNQ<;~NwPyvJ3Y|`$io+NWa`p+fliqS_%C!gvgT%IvFrx)E-o*TTF}LZ
z25YiYJ`^x~I{E$%(#i>jV`SaY&@1E8Lugexa&EglkL3MlV97HN_ES9H3XF#_D!x<|
zHHqPvyNcItax}5m6dl)OR8*5vGhx?irS-H)FnxkGk*H`r4|t2b-#&g}wUL&K3Vj3H
zMq)Zj|G9NfgI=#JU<M6sq4$}uVqNuqMToshc)aL)KsfIWFGpEylGu0q(fX)mmR}t?
z^n2$}CXec0IV%QQ>&>?*7A5)Zf9t)N7GuCyxB?5Qda@>sgvV8M>ComH>@QG?+G^ya
z5E@%t*xOR8@EG|`P!Rvn5B)l#1@f<gnfCTpscPdU+3=}@-x;|Y>uA@W*my|nHZ52v
z7(N1Gi<;*(4|rp%tY`FCo!sX)a9v$_NbdJoX4)wckCV2$vKx~W5EM|^zI^Jf8!j?n
zwsp<(_pjXo=+-Ow6xP_-rxf6#u6<H{bFw!^TdDiJnKIQ;k@g~VgJh94fl$B;Ff`8y
z$#44)1e|}<uT(mWbEbT6FWj{~dlWd|9#oWr&zFt+dsui+%^e3qxNv307{O1Q!yFBD
zBDb1>7#PM69$*J1Z1m0TW#T60O2Uli-<g?}`t$UJ7w*94cFuU;RBN-%cUQ2t?3n^U
zqen0PC`%SW*`dd})Ae7C&Ic=VT?xYoJz=@n3}^3}oN}e340p*EO^tNr=uBvoW5g*r
zIXVAC9149pQ4qfM5lzL9$SZLbD_cFJT@rorJwe}GUw_F-bbOHipm?~p3ehX(Ew>dC
zx1CE;ZQfAr*IF?B7hj4S89h5n_a@sE==rqJH0b|y<fjfA`7g|~tgE%~6LH`8s{Gds
z`>W%1<;{zAhPng_4}U@%c$lrN)!Dh$&qZ?a;RPY0W3O1({|)R1MM?Y@@a`3R4!?=F
zeeAw|=bO~AwO85q@uS&(M9Kij5-<8@_|ku^WY{y<v)&8Z_W!+px@>gc^f;EHh_wCN
zM2zCAaCWxv)ZdBEGTPZ9WibD@CBs^k6;F?NgGk?Vsn_;alnmOvG-x)Epoq^;>$6#t
zb`1CN3G3ctWP*59pLRci06GAQQlZFPsKzN;{tBNPU&AqV)r}zD{<{=|czypTBctW|
zrcorXGzlrka|`$@rji51mZ+JE9gb_=%N#TV2hq#zeq#fjE|+_+K_q=G`3VcYsX6+u
zEvpmx+X{pM$KTo2oCizSah9VcP+tzC;8bvR(5}L7^72YCUze!N2ik;uCj6Xlq0t0?
z>(zbh+_=WW-mZc@L#3Ze78W1f>#oB#EEI}^ZDtrLZsrrJBs^Zvvx?L^SVe{nVnX8i
z<41JDCqz4c$7U04(YwLs;L1|lm(+yvPhdQx4Pt7JEbRWsX4@_d%}h^`zYx0Jz9dy`
zXx}|?KM)E#ql8&_YNq+V_1;XFH=@JlYtp;DBP6CjyBCT5R;Y?k@pn<u`S)r@n;iVN
zJssEUZ|h~hK7i@|G4kWS`W-Q*P=;WMADEqn@`tOjeLkQ5x959>)3oiTjJZGS257ot
z`VlRZbS=d4t+$Q~@B#f8f`mChBdPEA0(1Ua&5FQ9P(+C3-d39Sopi)7$3;5l?in0;
zJ=}uRDYZ5s_2Mmgiv4n)Fsjh#v}NthPx>^F9r_Uhzk(^+)at}teN>|DM}p`31vZG%
zK6vrh=n2(da+x8P9?9-FGC>kNJX-E*TL2j0XwM?GCyp*eg?pSOnV4*2p)h^vNG&eD
z8XY>IKkET(f?-zA%*}gUUTZQc#D}|+C#84KMZ$_SYw*aS5?E&O{W&K2#DQI?3-)6<
zysut5`OW%mNOZ%c)>C}eKSf*NO6-<ASzy{fw_u$TcKO+me07<E5!QB}ob1AK3nC3N
zvRBSE>o#)1zsXh3{~X>W7v(t1{<D$ecCPuE0Jdmc1l#Hgrm9i~XS%$n7L@?oHAeCH
z*eInE8XD>}ggNkC93aMUjBJG@S4a1w1pRqhdqgXYc&cA<?tT~^wOTa(rWj8n@%n-R
zWD?)q;a|6>DUI8bcSRB6NZWQsHTF+>_6&EHqpYwn!vc`germet&-&BWbuOmVlAf1U
z(Vf@*)j{)^`{1LhuIk_KDQWtKmU<sPRBaA(6~jCzX{8J=p1(IS+}O#y?;GmMA|PK{
zDiw_c5H@D90$+E@y(pUU(%*BL=_I}9sM6dB>gR~RJ5A9Ul*l-(ceVY*aVZsg1uZa(
z3g`;O7+J$(tis+~GpXD{ZI&*@fXxwCsq*F{AdyRLEODBsBiVE#Y9AQCzfAlXoHH|5
zo0!V|+P3C{mbePf-9%w5)xPW;zn_3-gOjVax&g7@_E>mdsMt%<jSkB%^lo=dAaOi$
z7MHS1yvK(6Lb(EC-+J$<?bGv+gTL?jC?CK8l@Go%=ZTXALO#zT;G@K^i`<4TtQk^%
zRg73!+vbTjEo^s*;2Ic|Cop_(H}#6Ynh)A{oD4%}r{Bu<h$Wp~sb_Ic+tW*XNzlrl
z=_J+|<<3c+S8P?u_TooK5{nj31CJl)lJ~*X_`k;_JU|I<Sr9HiaUZR<O*ypRZbfsn
z?+gj!^x;PY=dJ!_V-?oFSPlFOc79^If}Yr8&t{^KE47ZCMgIEIxV<@EHCA!ttViOP
z1$jLlI=ao1z~J$jiaV}wC9=+wx_u7+axezBHyT|_+Zm(>JkQPNlA<dh?>B8)KSO{K
z?)<QA+8_5gLMCcClBmKSoIz{<i~37TTFV0&I|JMP-+FI~nETb?Q6oi=7TH&-FGIl#
zrd%DTIrwGNU8Yr%lr+U<x<A5}&RU)Z1N~153J;3EZ*?WCyWk1lLOi_aZ?U)UMnGj$
zD^_i5g&sm%<HRWk1_o{(A40_{^eak!T)3L@lcr)+e}acD#;2XRKrpm%He^jo3PHdv
z^L$;2TO&YVZjQRmq5Uxa6(qpoebOkXRymsV8lRheZk?`bGfWJn>Mp&}?;V~AeBze(
zhDdzwtD|rXW!};4ub6SS%(dR0KbYUfk_o6rVzU-9Rk0z%!o$WV!l$K$eve~(n~v}q
z39VB<gULm3dWn2?R(#qO_P-q8TUFJsCEo=&`1rQ_P)`d3D=L1ov#XQaQBY6-#zccb
zj4=uT2V&k=Xx}$Bw>CxmpY(kq?ag^VY#?VEwg4~)q^OyrNXw)Hv5=(|c^txE;3qNz
z{+~-zTH#U~#m8M}e@m%89nhlnFyi4?aDBSiQ4!1(wVq-GIf#G%{%ve*fT04Qteh*|
zSNJ5+*<ZhYfvhqOa$a%qHK2q5;$gek^d<h1cRHrjzrrq6z}XxWq5KD#>E%f4>godG
z5P+Haiwg}OCko!#9X?-7D(UI!s%w$G)2{x|cXha+;r<M$#_jFx^=yFZ6z1pG+Aj%C
z<ICc(>o;+lj}ToZx*jbGK;i(X{dq2@xeA;c2m(oA^&`858ekRwW6<=Qod9kM(&eQr
z5yCl)^8l=0@w-=$xh6!02d>%P)c1efQsEc?JF>I1R91<kH32*#APBUiB$ASn0M(sP
zB2HI{^Cdps*y6vV7_?W$$jE>HZ+YoYu@|0q7glz5<&{GXZhywdi3MFs0MT_512XSX
zdD@MJViL4C0GA*a_E1LuC?hTXL$C2D+yBY)Srud*1a~R;`1nkT2q-9y4-c27rV2pS
z$X;KwpbZuA&W};XD3s7{u$9a5-%+-;WeyO8LOpOxC`gum{P<BROZax>`KcHj7d7e<
z7TKk5X{`YkP&)^BJ^+bXT3b(ytE{~`0pvEAm}5X__Ld#WsDf&fmoM$@?G+1EL8XqR
zrRDR}BMbym^bP<|2jx3)WCH)Tw!#=heQq4HMSTI%`fJk(RN8Rhp#UbG>*G)&Iw>!p
zi9qegcIk~M^%urhuWDLb$)NbuRAM|lo=^XzHSh|g)6&zyLvbeGva$@#&9?v$|0%s$
z{|F?x!3OTb!vicV>`5=?OW`J`&7oYWa89&^R!?U&wMlRT;CfH~3;@V>woHoye{OL5
z92|g$y_vJfCg*n)mnmfY0-z_}bUSl%&^7}D0{|;P5McPl9xrg?`T;T_`<bjuO;b~o
zU9aI_Z@LU{FM#(N8yWGr*!cq3H6^h}ct{(RjsT`q!^8x97Jz28{?AVU>=|U5Zz(uE
zJ%vL=^SHZU^1A_)8U`7ERdscBU7ZU+@rc4kQ@JgG0NiMNc`IE!8TV3z`S;Vst{T*N
zzCBjR-%I@kISG!*UAx`K)7+f?sTpia0|1lHVL5Rx1oyp)%J{$+8vn;jt%vyj^~=Kr
zJ_ZJ)o+^zpO%oylY-}#D!am(0pb~)kDsdl1oJe3y0JlxmmdGxuf!1^4xC8J`^O0{<
z4as#pe0<Nx{?GSd<%CL7`I+zh$!(egP&z9I$JoFCsBQqL-OV&u76AIGZ|hlXb_RfN
zK??Pl8h)g->Jiq<mxk)<Atpr8eXtV?fq;t!?O$nhph%c&ar_s7O#_gOuL%irwpRdz
z1WWVZ`ugL;!$}$7n2>|O?y{~A5<&Dw6O*;QJ?71%DzD4Ex;mazhtGhd2Mm*ZtIO61
z@u>w6UVshT14@~JL3T^z1x!y>P7Wo&@t+@${cngt)MR3UjgSA@_s*r&)o=SZ`KeS7
zC#$HaA0Pn#37J_~XlZD~k_&0dF?Bqg4M*ZKn32@}FWK&bALkDX$;rzvEiQtF0*SN`
zXs6~12@MtTI9UaBi@LQ<_7&*J?<|p@mgCeQJ!)d|>FL1}tSEr{JXnJwyM+~I=s%8+
zmG!+Gb{vHm1_s72v)5snnVI={d9;RJ05}At4tBP-1)GF6T#Sssw3M{B8~V_{evJ=d
z;p1zlsRf(N0)AE@e;f<GtMa9Q6Q~T3en9NzWTm9+Tv;)?lb6~3VepdxQdU*X+j836
znEI{;1pxioz<`d1rdh5VDmD#D??5HX{!Hb13P9XFt`$80^}cX+c6OZyI4daqfFOX)
zYB)DLea*}SAG$hPTDaO6N##aDBl@$r$clx`iAD+*EI`*!<f*?5jEt~SQ%hzL84+H9
z3cylsRazWhuv|X`x~L<m_6f$s#%79myDj{>20<JI0W8ad25`zwKo6UnmzVkU_w^}!
z<CJ(ngoQwkOU_@zJ@e0>KN7)+8d_S>W2<eyfT%FDX#vRK!@=R<0tV5*=;-G8?Z0BL
z+p~|Lgr@ZsJk;CQ2P(9xNnxkX)JaK50FW#{ydd)R^v$@D|6}2V6aE(9^BJSq4O_K+
z5PPa(V$hV7#sD*Sd9)-1)FK<3LIx!_cP&7I?3A27e8_8VZsyO+MFBHON<<W4@(m=z
zQ9>D`f}SO9>=Np|a`o98TUxwMR=eyfGsXOu0a)DEhaeUc7q?Pn0{2ARQ+0FW(TW3z
zbg*H;&ddyiHR+~NRb73Gw}s6dz#?`%_BeoUURzsR{}t=~j1%6|6<qO;8<1{1BnpLb
zH7o_i#hApe3Jz1jA^|lt(fP7KNtphM!S4SD5EU`|MShgfATbRHitd}Qv%>YO&oB1+
z-@*hQdP+)hpRxv@`@=?npg*pKQ}lLm3)jtRCKOPMh_nHK)vj?jIy#z#i7A!K6w!}}
zg2KVrnA2(F?Ze5_<Nemw7AW~FEi0RxoXj7$WF^=S#uV+Wbh}UoCxU~6WvGeuE}C0f
zK#KYF@f<cV=a7Pqg98&fS#n=VO-nnPt?pS~Zoh;z#6P?BK?!x*ouK=)`7J3)rcjka
z*n?6Lg8ox-CsM*YU%!4;)zgcXJ*1|giH(gt)wBZYN2o(yhfL5VVtBJb#MHu~5v(MQ
z#6r9`pUEN{=^R0U0I*CQ_eVmfscSvq(ZPC>xqqgn@Z!?^KzE74l9H2yp7jYq(F~|X
z(jdAW<y*NpUditJ5IN>^Hpl=403^3Guc_jEGsOsS+4Ul|z;uIjdNd}`n2WqkuR-O~
z?qsnkQ3KG=MMd;zJ^BU)eTuuFx@p?@JQS5M0FOf*SY!YKd-PyJ%9@&6$HxEw{Pc;V
z3c$yqp)$U{BL9`j{F5-`<7@nnC<ay^g5V`=?d+KFh5#`-F)^XeqwL%lg%5lKI|GCL
zqh1g9Jz$m8RgzV;>#dXc&qDG_Iy#=~tR@?5=cpC`fE?(<cUTB0=J7v&R=2i58K{|w
z2@E8T1rG(pIo^N@6u^vEpwMXj(B|^Gu&ky~(bXj(CvP+E3Tk%V{;$8awsSS$!$U)V
z(cg9V^vKJ}otPN$+htn=tt%%Nm7bpdmKFyY-Xokji1J3Q4Gc<#fb*0ww_*6&bK~aW
zfNh}o$>ogE`l#^BxJFR0=%%;}>b*Wwh#i3vA1q{0qf_g9e??48oSK@tRt*@bJ&?g0
zOM4wHnfpV#TGG`Z134%pJbco!?(ED72q6HHiHM26m#`K(0+2F=!w6XLl#~=;-Mj$V
zZdch3T;Zh_SKxJm>dy>*E<V0%Fx@~jK^Y4E6Pg&P2?B&9px*%{uk0EeD<>!SnM@$)
zSsc`ViQ3KAO_ymk+HEAn0yGd9Z!i->Lvo;w4}kOy<S-M9i>*$ZK$FXZcL)gq4bTXz
z2n-ye&&9YbD9C^U0CoN!hl$Ie=;G$4>B^lxYJNOd%RomL3XJISivK`76)0%II|g-_
m_JQINA*~z&$OQ~1{<3AC++XuI+JHiG=$(wBbcLjG(EkBWhxDib

diff --git a/tutorial/figures/sample_dj.tikzstyles b/tutorial/figures/sample_dj.tikzstyles
deleted file mode 100644
index 2ba990d8b5..0000000000
--- a/tutorial/figures/sample_dj.tikzstyles
+++ /dev/null
@@ -1,29 +0,0 @@
-% TiKZ style file generated by TikZiT. You may edit this file manually,
-% but some things (e.g. comments) may be overwritten. To be readable in
-% TikZiT, the only non-comment lines must be of the form:
-% \tikzstyle{NAME}=[PROPERTY LIST]
-
-% Node styles
-\tikzstyle{nd_blue}=[fill={rgb,255: red,73; green,92; blue,176}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{wf_black}=[fill=black, fill opacity=0.3, text opacity=1, draw=black, shape=rectangle]
-\tikzstyle{nd_black}=[fill=black, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{nd_red}=[fill={rgb,255: red,195; green,10; blue,47}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{nd_green}=[fill={rgb,255: red,74; green,123; blue,53}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{nd_white}=[fill=white, draw=black, shape=circle]
-\tikzstyle{nd_grey}=[fill={rgb,255: red,191; green,191; blue,191}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{wf_white}=[fill=white, draw=black, fill opacity=0.3, text opacity=1, shape=rectangle]
-\tikzstyle{wf_blue}=[fill={rgb,255: red,73; green,92; blue,176}, fill opacity=0.3, text opacity=1, draw=black, shape=rectangle]
-\tikzstyle{new style 0}=[fill=black, draw=black, fill opacity=0.3, text opacity=1, shape=rectangle]
-\tikzstyle{wf_green}=[fill={rgb,255: red,74; green,123; blue,53}, fill opacity=0.3, text opacity=1, draw=black, shape=rectangle]
-\tikzstyle{wf_grey}=[fill={rgb,255: red,191; green,191; blue,191}, fill opacity=0.3, text opacity=1, draw=black, shape=rectangle]
-\tikzstyle{nd_pr}=[fill={rgb,255: red,169; green,101; blue,192}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{nd_yl}=[fill={rgb,255: red,245; green,255; blue,149}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{nd_sel}=[fill={rgb,255: red,84; green,255; blue,221}, fill opacity=0.3, text opacity=1, draw=black, shape=circle]
-\tikzstyle{wf_pr}=[fill={rgb,255: red,128; green,0; blue,128}, draw=black, shape=rectangle, fill opacity=0.3, text opacity=1]
-\tikzstyle{wf_red}=[fill={rgb,255: red,195; green,39; blue,70}, draw=black, shape=rectangle, fill opacity=0.3, text opacity=1]
-
-% Edge styles
-\tikzstyle{direct}=[->]
-\tikzstyle{grey}=[-, draw={rgb,255: red,220; green,220; blue,220}]
-\tikzstyle{edge_wf}=[-, draw={rgb,255: red,128; green,0; blue,128}]
-\tikzstyle{edge_lzinout}=[draw={rgb,255: red,128; green,0; blue,128}, ->]
diff --git a/tutorial/figures/wf_1.png b/tutorial/figures/wf_1.png
deleted file mode 100644
index f12ca8a933c15883ffd27008eda73f80a3f15f70..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 10295
zcmb`NbySpJwD%tbMM(iAg+T-fX=wxmX$FQAL_)ejx=Tu=L_kDJngJ<kkWfmxa|r1k
zx(9gA@7B8azW0y2-u2FcMXV?HIcJ~m_p^7ns)`&T9yJ~WL4*qO((2%68w6ot-@XBU
z!%NYw13&J(m4D?7LHK0<d}BdhQz#*b9#W8&)bvQ%PW99y>$tw2yQ3{7lpsx1D;=v;
z%J5E64cVq^yBTs+to41$n%Hi$<NS#+s^n6$NVlzUwCWs5t~r8;&1AtN$7u_CPEUH5
zH2N)0AQTw<;NrsMGCRH-!tZSN6hAd_cUu+Pnf&=BDK$0doe?GdT^yr)JKVZ3sSHch
zO?^2*{2R2RWDsVr12*L*>F#;ZD_FTLb)s6i4M~+e_maAMXNc^b{KvGr((ewlo!3?(
zl0(<f7c=w^W99wM*O?#3O%4r_Qc+pGdGpOKChgbiL0nv1RAl5mJQ*{yWz5-uudi?A
zwr0BLd{-XK@AOw+U*F*1Ucbck_x${UD$)M@;^IcHqm8fpHnYAbGnF>uw{G2%m5~wi
zIaNjZ9VJmHA&kpT(KGc}SXi>MvgH>2Zca`^RdW6EN=iz~%FBBmr^u$JCdC{E6XNLz
ztvNA|-2mCF+M1e3YJTherOqk0Rfm+6l%AfRkp!+(72JU1W49uaQJBF!F(b-QqlpIZ
zllExZi1dvS=G4wOX7>?y6%`_==PSRGH{B80{(5-J{L<>`!5QXNxp@>!f{yr^^Gak;
zP|M-^FxH##VtvX`ySc^&lkX7}TzDbB!EJa<+8+oz1$UY@ULK>wm|{~?dl&bpX=v76
z&I_~(7Zw&Y*|an?hTq-9*I^&~Yev{oT2)nr!C)pPCJ1Q+;K>4ZyF=8B^0~}qIzFp?
zsVB4EJG=8OiCl*5M<cVdbTC+x*O4`b4jVfNoTNfR!LFlfXy|`=eiVXFaqH&Iqfa==
zy~X+YI#sq*khH8U9?m<n?$11wkwveor>3U*k_Ag_;+K||PESu)MI7wy8@*5L*(y5(
zo`kg+l}|1&FT1(9q0#7m{`{bia0C*GbojY<3tC!UR!$KjAzpH-#S1Z>u5moIGBsUF
z6Z5WX=U`>Ug0!{AXXE4*6efRqKJ|m=4YS_+P+woK%Hp%0lbEZLI%OAM`Y#_pvo%;G
zjUZ9KjG|)KYPx@;9ZJBJuJcCc?9RKOpzW<Kk7sGBECfVE?byN(qH}U`&dqv%|Nh<E
zTV$grp6+06J>?yeqsd0WsrMeHlr!|>#}9?L$5;Uk4VRxeUf-(xu_<q9nV*xhobe*e
zly`C<TmBy7@GuA;7Ck?ILYwhChYj@it&q65_{OoTl@&59Om4h}iHWJWxVS;Eg^++?
zq>i11rI{N(BTb{3t&Y^=)J|7txko{f7#bSd5d$NZ+`y6I6`L=ew5<#P<EW+<tNR-I
zn3_s^_wE4yODn5&=O^{i&pdXUL8!rCN%(>p*!&Ys5+YURwmlUiaaCjTEj;`V#K+H1
zsGb>w(>a9@A|xc-P|wcI&24Cy85|^$Na$WxN5;!$xqe`X>kO8f2TQ14H%>9<@#Due
zB1(#i3yX___S5oNgXr0Y!p}&lj2g#9+3HaiNUz>)8ywv4iu(QAcxSdjAGOGqpvacs
z<>lo@@V%fQQyn=&UQtKDdbET_8)$2X!RDI$=X!d+H#X8qM8(AHyyUwP2(^?JFKfJb
z(NgES`Sa(`%&aUddST%t@JuZ6hleiA%z0H+0#Gye*4AXX^GeTpXF6CIgxMv3CMG-v
zGi4shMQetYPHuhr^eN$qHg8goU-Bs4y&23`<qTD?v#EckD(2MjR?siwGTA6<Gb1BM
z^t3Pq1qHNwa&mHfjHX`R7%gN*q(w$WZ69LQR93onf97axY@`veg#y6hd7@oRKqC;@
zX$l5}PS~lnrzi5)8~9f~tHZTH9E<(*?7Y0y)m0iAn#H-G)t;o`?(Ugnhel+UL`rns
zXkps<ufZ%i83r{?&3l0YmGApD!sE9cduu%pR>0cFqUYjrXpf|ta+A9rbQVh$bys00
z*M9l(>z6O^BwiU5dQHNsIInuvt9yDH)06Zx-R~TUCP*DNkw5dx69$=StO}ot+{-}x
zVJKxbGfphM*u(cY>vtp><q@|TB>z2;x}033R_PD8x*UcLD_6TjrN*a<meNigzr*=<
zPW0c7{nw-$Oi%jH<p}hzhgG`zG8AqPCOq7H_Tn;$I`I4{KhCK8f4cgAIpcqRfd98c
z*3Vc_31a%c<G=jWnjIdcxGOg2U=kotle0>mR_;`_aco^)dbTf`sB8zPz%)K5v*}If
zT_IWt7Rh)1wvQCt?^_bSDN2=0<L*5=J?j%ZcRMdJm5)cuP%r&ZjWlC+ouRInIYH_s
z1adMP!)lv*<rphY3wM&v%Tu|G7XdAW^@iJ>(SNI&g<EUmXnpYf^TIJ>#bXhi>>C2Y
z@H5Q!`F_ck<jVKxG4~wS9E2x==4O;8b^+^f1$%?7?nnhm<0Fxo_OsLj#@dV24zX45
zx~BPA*3!oO#=la5f2-c0k+lTmi@#!s39Lf>o?P~EJX@{r8F&6wuAE_JOm%TDIlT*Z
zIc51m_XL4#$kAuN`?TSDcA*-hau(7?5xFKCCy1~|+9y?+P(v))A0lU{7I@1}7#ym(
z1tH5qhkExlgIBVz2IM4rf1Beas5@3KM8W3P1n%d+J-Jrse1#g8yzX>|naMxB=O`mK
z^WB#_RXRs~Ila4s8~*n7?qVy9hoJlXp_2L&s+#4Wa|fD=qkgNG%J-EiLsRj@v_2bz
z8c}k^b~OCi_OK`~^=vxu!w6Al)_-Md)Wux9ZgM9;nrjzo7OWJk&|KFIjtzw3ex7Bs
zE3mCQ>|;`SAV*tP)VQ73oUWdw!9$?Is(D>?Rjrt@F*d(Y*fu1~ie}rvD?vNbUPx?V
zJq!3HBiGH07qW1F{wB2S-lcC|13mv678tB^{A%k_7sX)FIv94gkb=i0?M9!lA$e;?
zwDXnPmvB630Xl((FB`g(QM<Hio+avEI0!DARPl}`NjEr$^|J}puQ(d(R2`F-b3d|C
zE72IvUhzV=cko|{vwx60Q7W$Qb;5?=;dfxSQw`jB%ebk;-8>|oN}R6cr!5ujqvodl
z%*LPO2r4lbr{9LQhHXni3}ka<Q_(#!-CVV5Lq#MpwR9%GJ6s4UW+@h^?=MHN%j&8|
z<x_@M@>eABDvQoOX1hBXx&1xw$02VAYjn-aF5WJKOSIOpRn?rL1jZWeP>Y8&UI+~@
z${b5Ebk4O;J!i+ji?xHbO{}uME11LH5JUHq?mr5WRVPG3&Ed<ZMZ09#cfRX=XHVt8
z`WC8hvTST-Y;^;g_TUU^`$nx^lu`s|hi69(fhdbd`11LGc@ZAHfo!O~w3;8@YMCs~
zD8^_uN;4XjQtG$iK(h|s-c8#x%!^ruG#sZ&yK762Jd>xb3Wi(Ah*29TpTrBdx*~z5
zF}I&~9d~P`{fzcP{`AP>%i%+m7wr?75)oUEC+4+pR^J?wwR-J~lB^EOg%6)yCzV87
zF57~2*kAt}f9gTD0Gg*CTcT>Olq4}C!71mU!XjtpsA!y7T4h&v?Iz?J;tIYru{ZvF
zi;eN~8)36<yZ+@uR*|L?gCX5lI*on%nHYb-%a}TA^YW(d{9(^9A%YsLshTf$zXlzS
z5P~_dHN0g|mwHz$BWs&^d*7>PbIL97`?vl7o+tlTY04}6Sr+EYT-i&tLJ?`s*bc6!
ze$nJSnG%-=*?Dx1DI2F<)g=#(#B>iWNT7I&c-RBq0pIA0nw-Uo?XT!}?H1y=AX0A+
ze|_E{fBL$dKgs61US0Z=$Y#mqVP|e*%A!s^Y{+OX>>-aBg{Jr=ws`v7^mIyMVq$Ep
znzlA`V)yXyuna@&d1$TkDv)^C&0w!t2fNhYzuZns@-JTSvF}mIBj`!Pf0UOaQbk<B
zUI%#qNz~KZi+$q;(0{x0Gd(UgHa3d~XV2&m?BsKezBCXyr=E~IdK#&bS65R*P<Bw)
z9#O~~F70%-zwFR-DIg&s!N|x+Pv1N|9M`sSfP+(}qo=6}_P?y)U>x#@N~4xgV)4^}
zPE&D-T=9K|jqv_ehnc#g=~`z$KR=~JPFHt#L2hpPR^G&JWds5tFTZ<yEbfOn9YJc`
z;Zb5RU>7qpHU0j&no~l;e|;#&d9^QR&@w3YgE|t9KwK{;8g6ZEMFS;FNqM@!R|<6W
z-Wg`JP`i9`%YDvQP)O)Y{tYBWyy9|}T+G!$`t`v2A&|C?iw5rvo?Py5sj}R|C8l$6
zb*(Hf7xmm<s<0XkeGZ4-ym`azxX|i*aon3Gh8iDt-&<%S4L7|#G|CA!RB(sp=I6M$
zVc^BS!R+iZKPu+%@bKtyo-DLQ{QC84%E{#RfQ4A9u(LS`(&ktZJ~8ol6&D2Qak`(N
zXJ9_NzY-1okR=>!mm_gf89I$VXGfdkAja!kTNupk7a=<Av(*lU-rg5LB_IAkND?1q
ztFjpQ9%+^7{Io+=NqPm*+*Zul2kHt)FQ6dLnOS|GxXLgLMp8W`ASBGn$_mS!nb9U7
zARy;5Ab<=E3??Thy~c8iwY^BgrGegjYS9<@{{4V55AxMdkFwg@+QLE`AV9?x6#X|u
zL!@||SK#>g5y1UeqbQUW;PA+p7%mo;f#eSe#CbZfQaU<1CMJtO8&z&A!EO^16XW9_
z?Cq@!1qY6-DV$X}F1CxhqorkJ);;*gIV3I*HJqIfz$+eoBa?)6<+Zl9f-&e#7K~Ga
zL#4n!1U}#G6`Zp~k=&s7J!2#d2U8IY-s<`~($4TaMu**?%vi?DOJp*P@uL9(JU*B?
zr!+#yTL0@SAfSNrq9O>b@?Do$D&FZ!5q@+J?-2t-#rAD1c#6>A@USx&fhjlB=O1f)
zKFKozajmANCUPWWMlYW;Bojftyt4Ai{VjfYcOJjZn1`3wM${Jwcs9GqA7-7On5Nva
zuRm%b7-CsCIqetQqh2KCt1H;q^09IWI#_S`g|!8eJ$Rs}rIipH%Oih`OY>vQeQ<D4
zMn>k+CUkX~u)ottSGP)uF;tPMvUK2lv*alXMc8=lCuNk8AZ_e%<wFYHyGL-bC+86R
zUff7(<}(K|*58%h*hJ3SJ2>RYf)adut%^z<OHS63ze*FHz+z~$DPR)1Z2Y#C-1e5=
z?54kn+J33<e+6Pt?{&l$*0OHsvMtrMufPzyHC_9ZkFNsem@b}kd7Rv_zZ^5?Q*PQx
zI{Vr|3|aUT3o<cTuCkj<OFP1AE4Nr!*1EntSyyDzI<mEa-zF@Ys6F6>mR6<))<4{T
zLRVs-|94TN+WRCpf<i7V^d-CDmB(=Ibe+hQLsQhYJ6c{}I#wOweY|z&&Ykr+kM1A5
z2Vbc*$|i6m_yrTgf;EvP(UgN@d*;~Kk)0Sh9uqSr?0`JP`qfpX$NS{h&Khyy;o<7~
z^ikAIoa`0oFo$cUk-szUb2E*;-c1~qB<dUMe_|h9q90L;R>dlY{P{DGDvG_hD3=(o
z!~RM=ztP$>d!+S!a<YyuJnu<eFpJp_EMMU}1O#v;rALc$V*Bf?j~=~1Y93!y_Kj#>
zU7q;&e${%ZEhphSbr6ThO%)of-aY`Mu5n10sqWe|ncIGB_3+`tva&L4p3M7yPO$b*
z=KTG)E62}i8-9E;G7T=$PbP+3T`NXLVnGfRV3b}%&kk%~;<W|D4?6sAX^Ei~t+E<^
zT$DZQ@JCymR@|q?pTqG%VDrLQQS511RFup7?}fcZnbFaHH!psEt$fV@qkcZdL=798
zb!?X!|C;)GihK7y7I!^LN;~xthX~%TXh^+NvfF-&#hRd5HqnZ@VD;Nr8i_O->FTmD
z93UmrXXjW}R(`xuLmK`Ns;IgW`<PKVdKa3Sy5d|%O-062^S5}lG&j?OTrDc<{Vg<<
zJZNpr((Ymamz0cb*{Qav$-jw1Q;Wye)>JCvm3c00qK)rr^vt`Ph?JDCdxgixq$2uB
zDO;Kb_I-<l&Q8|kx7lm-3Oizo#GX;pJ$rL?URbSTtEX>gpl8eP>2!qDpzG}9<fW>t
znNVcladWX1_88z|4x1b^KV1sv4|-T#ZnHg;Zt$^tx!Pgw@%XsHry~nlX=x8nPhjj_
zXn3_Xzfe&Zu(MAoD~neD!c7JS_Rk-Ar_1Mzg*%*jHGh|u_~KckA50qCphOOh-(72M
zE?G;(Dj-fV{v0YaFt6$9>4HL#on&D2acR;FYSsAd>pVn6M4q0ex@lkGUTiEZyT@qf
zxkt!5w{QP-s+~H{B>t#?h>D5=mT{zt;ss$$$8Z(CZvfm2IBozTrjCu}AI^*z@vg4}
z`ZMKbl%FxY?o_LXGC0KIT}KudtDrb71A!&As~^DqlbuIFHgXM|l2fk+Q(W2&Z0ySI
zcjUYK`$PYFO==$F;41w!V(c>rI6B#48LB^gY0**{yB<HShI6e@BvF44&N@3g0b;@n
z$^7xd=?ZfOY^N{3R2@@pXEw8i#p>tJ<aXW}B%`CF+F)(gyKxxQF)}fM!~;IcU$`?6
zZo0a<e=4PJC2fd;t?G5Py%h>S>R&OHmb=}>#RZVy5?7~LC2lo(#Zgg&gR_JTrbA>`
zWio8rtIs+!TEYE$df+pM;6<T<+1Xib(X+ENja>M{iP~Sm@T1g>jE8ZZ-;v0{OMd*v
zh_q*(`=&=$|Awmy5wc*<9nM2^R#rStI>doUNJt(K<&}7K_4Tdnd4M>(i1>~cXgNAM
zvLzHCkygLn-3$`>iuYgf)8UbFW@hH^?(PV^Zpm0UVt#(!&}UC3{kZ>4`Q-ik_kkJ5
z4gm8a@Oi22B=4=DGS|(QuV15pe|C-fl#=oQ2D{elURhbGci+iX_qKidR_K91vc7?V
zJ%}F~U0mBQl$4Z&Pr<om!@dnb%1s;`fKqbQk)9=R0EAY0llM$SQdKfkr)OqDq~?{l
z8b*c-HNf7dqchRmKr3kfpz)K&e~_ap@hG4Eo*o~NMRC#Xs#3YfLJ)TnoIE1u>?1w6
z=oLkxVvd=aS=?jg8xYvrIbK&0Ob*Ns45%t8b-xHB>NMpg%mP~y`0Ooq5EqyPzu*<a
zYChgZ@n0|51Du)Gq^hbKU^Fp+ky1xiEDDhU+q1ARG%&Dxx@SVjG2P(petx*VWc>__
z>ZroB^HXqeu-_r|f5ks{28+dBWT<}EuRmUlkw8;g8XMn$l$DjKscSv<7^t*AK7Ms^
z2l@ift*#afYZ=VuP*+zc1&|Lg9qK4IAYRH$(mA?;8nK_QnO|8Mv-@r{UYsi7e^uMg
z!Onh+o<UWL6{{n&)vfXzv9z?bG}%U5S{7@~vAzMUSWyulIoH&g#|)jK>vsg~rn1A+
zKE=h=>T!lhDIgH;PEOV~HrNnBOJACps6}5&nsM(}{=yPp8Co6z0fP!lwT=w5tw4Qt
zw&`+L0=3)Y8G!fL*giy}m_FM2af9VkT3vm8IE+Xa709otIqgb#(h^E&!kd(lks%lT
zfamE`6K+ZneQGhU!*3!<X=!Qc=?=EGk^aPKPc5QDx!h0Lniyx?Kg4_82mk`f=WIDq
z0<#-bMf)&qVnQcGiiCn9&ra?f`_)mlCy5NFyuJ_?)!fcoAh=F;=KQxNc$S+J+XtD9
zjg4phF6=&ixbvrw83N!l35i?>inMb3w$W{z8=Q&W`%4OTqC@_FPHqjx0)kXiS9c2+
z_qDFBH7YSMQ<E(#Gn0r`M7mDAC;DUMWp?O@D61RJoK`G5_AT#stw*$df!MfHC=~y?
z--sD{t|>hs;U6V$C(5h(M}H10AR}WQ$VMIZ&*|wfg}I|v<2`Ld--NU@mEsKN8L9LA
ze};DjAlgc>Sju!Tn0i+Nq~`g27z{m87NmDT<n``wo0%Wzw`VSE1K?KjBLdoN35LE$
z3H9}&REfnq<d=hF(AGrR;y}g=Af6dRvf~xaTwD%IjatBHcAg@OUmq$Wp3^DJ8v`O*
z=eQU;`~J=$0s-BnrKKe!%j&+L{x1SIy|VHMNX$b8_&3=0o{F@boWoRwRojRAb+!AZ
zc6QrgFh3!)u6vhcWNT(;!EtG6SNq*uT>5o<3=C54bt1z<Lygy07eTnhpX{?>goCfe
zuma>6zw(%bmX+;+wOeU$qL4H6<qIWeV)Ca?QnTCL=@E2e?$%%6<|-;GZ{O|$Sp)XI
zN+HsR92|ClSc4e~5U&^e<AI%h1;X_HbTBJaSuo>GSNyHMYn7FiVZ<<ivTIz{KlvT%
z9QWa8FsJ-8Pxd>R&CSg>$4g*0v_{9q(!_nw!J-9Ir{!X&sl;D-$KEp#WWZA)T|KQQ
zFTd~Z?PUyFwm#0#Wb=GBTV~RssHEh+HL*8oksj-XQ84r@I}FZJWdWf)*_w>|`jwiL
zl$4GRy|E$k+=w-y>%)f+fR_Vr<>0Ubyg&oM`dso!Be4`}2x~^tPEg740b}#--3<W2
zOG~+7FxZnPPY4Zf<)~XJD-(vbbar(amrt^j+kmxE__By$$8sj{Kx$JVN}2&Ad<7Mi
z#<%lQl9E_ZO>M2PkP!47d^$uupQY)r+uPgw9j=jptk(1X{rlbB-GBf{jM9$x?Z>n_
zNk&pFZS6&x5F^URiQOfPdP%&lUGGUAvE0Lh0AlY0j8cX(%<IOw!Xr0zH*~X`B?_PP
zTmNO!`wZOw3rha4%=TUBA%qxmi4C43fvxYtEV|w6JKLg>w-%EYd=dgMU_>$nGnq}@
z>ranIRz^uJm7Q;~iu&HvFj7eVL{tl-{>gZ2{m!`4l>iDRX6BPfa;TvC`bF}O)KaQX
z9|YRglkzHgYaF<L3=^|xen7Dc0zP=F^NL=~=!(OytLom-`kdGA_?hexB)KZ9rX2!x
zYUPv5?5wrHrjcvK#fn@i=o_n3x&cikqm&#z|M1bl`Fz}JAvee*DyA9x1yAGJme%Ab
z-k1L!>c;BFzSoll94-mJ>BZ*ld)yK=;31u@KbSia0FiXQPPgkb2MdP~k_ne#Vr4>#
zs{1CM-DqCcN(3nCE0bN*@RehCJ5@5(qWiex<_{uMemv?Zs`f)87mZ|lKafn(uv$Z>
zhU|>&`K!ST0TVlTSn`eM$Md!Z3?*A`N!>0KkPysqR=9O?qKC4jRE`-Y_H6H?y>g;}
zJh%b&Vqdp*Hd@{+-JIg8x^xrPoh$=W*>RBwocvX^oZ3qx;HBeddzGJ*1$}GGzXHT^
zs7cu!-}$LIW#Sxbe{?6^(FO}-S!C0T5kDx=_a9`py#MOH7IDE)qlyVP6(CfAkwuh{
z*Y~_#7q}1A94!|q&@d-OachLNaz!EZ(sfR1RM_vDu=NZLI(<yzhW>mtwHmZ?joB=4
zE`X(Z2wAVN6p&O_r;JstTz&Swp770OF4r2d7M(qw?2j?hK_^Y0Gauo~!CJZD4>f!Q
zF`^;xK%)tOkX~=<mJuzb_SOUF_}#*OyCwl+#p|bcXfaqDvdT>m_nxtB`~&O~!(ya=
zBh=`J`K0}deS%_6v@6?T{9i6fF7pc<5CiV5p)RGtyG7~+3*@ax6J&hBW#2_|NH1lm
z{x!yHERY?euAmsM$u5TW$E+j@{=+l1>U-QAxg2>2ymb!`^LGZ*)U6z>=6a{WHAF(6
zEsM2rv#)BZNcsed_;9C{Dk4Shdwp;Z2}?J)#+)~N@oreX*TNkF-*edXU+gDeedQ}?
zzh1MDZG0k(hE$Kfb=kk8<un?e&rQ9$kh#e~L!6v;)xyp6xl-cES{yy5LT$kEjWGn}
z3gp@w*~=)%n3%_41?)#Ub#z9b>XAUIom!*9qeNIlVoBRiq|I<GdNxfUdMk~gnw<X6
zKXzX&Xq?nU+bau}KMnF9(*R8H9$pUer`37%I;7f-q!lp#(xFETv0$>^9&XVIR<bo|
zi1S)9hA66qQSw9r`1s@4VzR+>Rrq=m=S<S;H<$>m%L_d7CL&4OOnDG}5BXGd^|sE`
z<%}OG;G!~)%MFTv;6b{Zx>Vo$oO8e%C6`^FV%@XDoA;fcBPT=>JjN#W_gI);>Wv#s
zWaEAE)&cLD#f8Xm#bBw6$qCBuEHXMPC4dv`FYdpVDbjaNKGxFxJr!(!y%Dil@B93+
zPsQ2Hxh3w_(fVFuw5W<JPQWCtMdCEe`qxBrql4khJa*X2*`#L}^|MqbkONq5-Gf*z
z3T;Q8WbN((iaEVnBXPQim1YCw8;$21vUT%zrR0j-zp7RpJ7mwUEIyiAu`wVqfIFB2
zV9UQnZJhqLV<hm#irdPmk*}IBN8Xs|?~7XDqCW+1{U)g(blY^xi?qsgsClG4KCwAY
zQ;FrCV%E1Ztr6YWS3Hh0t<l#!&|901B8B9~uC~_kbF7G|_@$;k7{sE9H=Nul-fLfA
z$yTF!_b11M{kzn270<$-8){m#)haof;oYt61SXg~UV*18a|_ktcKo#V))${RTz;8-
z?Vb?qaJ!I$jn$^nTA?8bcjlj7fIYtEt!Yu062=^yYc5>qRowU5A4!SLS;Tn=J&D2A
zX&mA_;;e(>T>!jwRf_Z&911L{#ccS{a7XpM+jAry-V73)bH35_2@&_NL=~(V&E3p5
zo*5XpCYj5ac=3!PK3Pk*`9Fh)fb?qwd*gpmi0VvddR?!3!G8Sk_>Mb#W_tE#PHqlE
zVJ6yfCT@w@Il50xBF?}`F+;U$Cw`n_v_7<sSC$*P8uuHz8v-vIw|D3eNgJ_DOSODY
zcf<b>Qocx^+CZt`q=LaY<viIw<WiA6WEZUq%Jt&Sq<K}V1J>b-E5kqEMELmDUb(s8
z^3CZz8t`!@lw8FBr@!FeN?rdy3s?UWSLSs&2y$0<BT|-nUraE$Wd0vdaYXy?oeux$
zNm^A=L<HpN{#U}GMnJg(Lljc(ysC^VFAe^J!+SPMnn1;z2x@C<1J3YrDGtHT&R(&t
z>u%|O)+f2p9Ec6{@H4vp-@g}tfWsD?820)O>iKTY&NMZb27o5g`g2i7k&}@<&1WUT
zxnxgQNf9bD@1;&qyiZ3b?lAlFmlBJBz}Q$-^3CFKGf-p&WVN`Y<YadjhytL%VO#eu
zqUbgh=<mK2O8NWuFHkt3GVi83tf;IES}NRe`GErEHS3at`SML5@4joS>_|{thWTTR
ztgSZ|7qiq|XPLt%g7*&&3JVMK;7OU9*3MZ^Q>8$iCqva^=}&Ay0UOXh03R*}Qg9i7
z9*6023u0&sRlNh=O^-A2*QqytRCgj5Gbm9rF-=ZP*iKc1E9Rh4)g_CBsg}03n3ZIQ
zH5U<J>6~g`SJ~dd!&A@eTisJGR3>Jo6)>j63V2R`x>epUaLdkx&_%gN$!GVkq>4&(
zVBoLi?!@bhxob{v8t_^{hkSrC0D@7h$p-4?KxnydPnlU*oM0?<B~gSmXwTJDcToAC
zEVr=Y`|1^!4Z?ADu)5d*Xff2h>{Q=Q`_#M#1mbX-5tPqGtw-`tPdzYvf`a2CBNf@%
z*(Mw9vhCisC-FInGA|CVWv*ep0iSDF)mXI`)IM_=iUUSHs}UX<`Jf1Er|H@cL5_!y
zZ_%GNGcoZ#olexPXKd^xBdM5Rkgg=fQG9CZWj9yT8%lC2Dq%m2$FtJP%F&65)4#uh
zPLY5n@9%$7%t>7UE=`ps9!#&=6Gk9qtsNX-w3ji}0#BY4ay4OiMMW>h4gK3RP7V&@
zMih^y&{3h5#AGp4aTYE==Q=yBfF-}|w`ls<X{yQQ3MA%>l;Y5}%rs!^P$(2|!9epD
z>(}o#$H(9Mr}tq41sX~kiXC^RYq23>nD~}hIPmk29%XH8Si8R0WCLduYL~QYBzBsP
zjg8g(?HcONr0*JObpfS`jSE0MvFIN@G@=*YhDAq5n}BNhxeLD}1!@ugc=*pB79O6m
zj0_{d?mgaETeC&9?H~J9g?|R-xuRl=T9BE!V_;yQySwm&5%dQbcyCvdJd(|S;pFVB
z#g+hgSjR{r`>PvJv<5A6dg?TrO)9V!=U1p|2My#17)UJhD)+C+$ul!E!2Zqg3`|Yc
z<>s2J4sQ$A<uj+y2-*vYiq_ZFE#v{l5EvM^QK+DxP||eeHLhbTfC818*4Au_Zr~~s
z5)uH~p~Xg|i`!XR3IX(v;bUSl10vodkq;{Ep7{LvGdSSr=%}cu2>ST>^UCU~g_+q+
z$hfQ~BLnLeR)(sMy86)ir5YnC05pWMPS|qpN1FQjMVwJkK=(4}w<tiA=+~2z4)wki
z7Zw(t5w{7E3fzRCP-2)$)*vwZ=hnWym!OzaWzs=Z8F1?3*Rf<j`;&^2Qa(o=ks=g`
z0;WNoLIr^B_V)If72~6g(PHXSzsqy`tQe}N=D>~r(|jPpC@5H6P+$$P&dh9yZ-xH+
z@t^8Bzs=3fh^A=(J|<BpF2lwLO)g+SfQ2bmi&xA6*7%>c9fSRolj^cED|`EPgv9w;
z7HA$?=-}Yskd%}J@Lq%EY8LmTykFdVIYE1Ov8F}{bW~tc_gaW0TCr!QrvY||Fq+6w
zN=!pxV7HrqDFgsz&jhI{0$M@<3?eje!j^XLxaeBm2hinqh!m(<0ayeO2`Jz+kB%n%
zdQ($V^WC7K&L;l%Zz*Epn8?UTR*hVjx(ds|Ou$&ae`o(mAKPgPT(hf^5`L6yVNp@4
zpu;SU!_UFJD-aW{!k54+fgZ0e5Tm|6PByl#xjBCj2vDqm-h#3f$dQfb8-<T#BXw$>
zmcNPJf&u`Z85z-pK*Jdk9^O=qW0sf68~qpVM<c}Gj$<W;hM+A=V>^h_)}{I~TNt31
zi1+U;t*jK3mGysm@Q}ul4-W2d_%5`DlYud1OV|K&tIlcpL)DCD#$ebvr<m9!=xBP0
q)C3hX&^uE6FaO6Cd*~8&O^ot&pjWTTc?3EEAq5!~>0+rj@BR<u5`KpO

diff --git a/tutorial/figures/wf_1.tikz b/tutorial/figures/wf_1.tikz
deleted file mode 100644
index f0687c454e..0000000000
--- a/tutorial/figures/wf_1.tikz
+++ /dev/null
@@ -1,19 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (0, -2) {\small \textcolor{blue}{sum} \\ \small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_black}] (9) at (0, 1.8) {{\small $wf.x=3$}};
-		\node [style=none] (10) at (-2, -5) {};
-		\node [style=none] (11) at (2, -5) {};
-		\node [style=none] (12) at (0, -5.5) {{\small $wf.out=5$}};
-		\node [style=none] (13) at (0, 0) {\textcolor{violet}{\tiny $x=wf.lzin.x$}};
-		\node [style=none] (14) at (0, -4) {\tiny \textcolor{violet}{$wf.out=wf.sum.lzout.out$}};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (0) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_2.png b/tutorial/figures/wf_2.png
deleted file mode 100644
index a2d63eadb95e574e46a2ef124e6b02d14ce2685a..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 24503
zcmaI81yojD*DkyXL1~c&X-Pp^x>Gu(LFu^ZZlpmvl$P%9?gnX)5(K0qq#MriegE%2
z<BT)LxraW_xN+|lbFEp|ye45v3R37OL?{phq02~%t3VK3D)=k&6dwGf8x21K{O_5a
zw3Z_Tp}zR{7Y<5EBY+@sNJd;l%`I&|-Bnk0{&qkSiGBb11-AHeEZpZN8{gJ7NVu0i
zu9VCzK4|Mm=p0m9KGAtsHp8oAztR6hR5-Z$OR4bJXYdr%fupNr^S1A_kfa^r?S8&_
zAb-2Pe7c<GD0KOGI|G>t2L%oh-k<J?TP?aD8X{7F$P%IiykG`}(&T3P)s<VVyb>DT
zYfZoUXIN)l*)Rw^D~(oYj`dXB-7g%;UpN8z|M=24$KzlDgSB~GSJ&5bVT7QfqX%VB
zV!eVG7N1IxW044YxowRm@9ph9fByX8;bCiQ%bfU}Oj}3iXr*Pqv<41RV{qP^Df0LC
zS8}01K){6s#-*m-ZjGf@bUg4<P<*(%IyN;mHP<;KBS7oFKHcu=?yjw^g&=2V=cNYQ
zH%v?`)h4Km`68P{+|gX3LxY18v$LEmEKkwV(J?W<G_)&PT3V{8sJOUrolJIjcXxID
z>Iy(ED=XU}LW*_#mK~|Yz{n^SNfcC%d;ihey0o}>@s^wIX^`*@LKLqQrD#@+91Suu
zat=(oLoS75cPdXdJKBl2t+;r&uTSEq<N%gC0z*o6TvC!GO*|?ps?g026?lAe?R0y5
z*Xbr(0-W`DhCqwg^@*a;eQrg?o8j5X$>Z%z-};6IR~MJ0q$E-S52u+zWeN(4`^2fq
zNpP6xkg%%i^vUm$*_oO3jg7k6+Cb4?#p)%-EE>2dLFeb^zIVq1xiaxC2aB%`*2%*$
z)Hs52OG`_en>~IHC$4&5uFRIa@3`4x+`Iw;TUl9&edOcgBPJ#;DJf}TOi4<bGt2ar
zq>R<?@M$v|i1MF*%R{2z<a8E{PVD65bhy%Tc{(l>4c2vgaS#?3)^UH4+R@RGmuGUM
zJ2W(e&#a5J%>a*pASNb;EUl!je!e*r5016Gyd2E-;whrN0xIE<u!O2~hM@P&uMo16
z>$|wPIIS8}3gka~dnu`@dU|@X(T-cA?kAfvnLV{9Cl2!RW0z5DHa}aN+>SrKeEAac
z%g7)N64h#PVIqw-V<8|VCB?(T^WHi+KTqd%F6MskKhRNdy|AzV`%wu8DXFT~xE|^I
z`aYKFG=w{v4u(EqND-|zpQJ=bkNon+fQ<l6NJwbYP+y-EDZt**QB3e73xSS~4rS~Q
zK2LY|rna_w&w<Yh3JTe?0daBI;H9B>S_BC1jee`!@j4t^abY3aML1Ib;vz3O`5L%B
zV5{xz?QsG;;>mti=_p}EMfA|x?sS2Riwor>5K&cC)#U6f?kiPQ)jz8B3=9n7s<sF$
zK6h@DkJs1Nhlhtp2kJ5?K=TTwTga*!8jvAsTH29*DD)Hjt$BF365Z&~P%@uu`Hr-*
za_pBcUv`W>e8@6KTukrp?~jVYu*Z={Ong^XTAC){S-&#~eJ2Ae<#s(x<1R>NHR>Nu
zWb`E4KD`F&akRgG2ksgN2S-dmD7%!DRLGU7m?XK<Bu-*fR8)C6Gq@L<MxLI0=?V>1
zRnK2Z%g9_`ZA5#Tl@=C4kAF_i{1gf{j@^vmGx|Q>-~6dyH~XH(W-=Us{|17<0Mgaq
z)&XHW;Eaurj}Ht;rO9@FynRV&$4x>^oO;M?QCC+7`3Z6o!9RzSN)HdOudfdZdXo4~
zLNHF6T0o#}Ys+-g$kK8T+~pf5l>=KXzcEwW<wpCFBqlFGGDt~N^J`*aP~S(b*BUTb
zSyB?-l#r#3&G*sKvx^JTPOeh7vo9}0ddjqFXvoQh6Y|T-4kmM?E-o$*xKo75AqWkP
zi(=f6<tyAeni5??$K!*}`}gxde*F0U{d;%!dZzC~Rb^%8#y|6t%{f8pb$ig@#{bai
zk020*iumbG`_(65auR+wENEh3;d<V{*TTZ$*sXP9Vq$7)>h|&oC<qZ$>9ng7HhzD(
zb^d4mjX`_w#xcDAxAt})V6{;3Uhk;pJO`!}B4$TqNYQ1l%tnXHQff3EO96ubU6K7;
zdjhF(JoP&@r$WSwIG<J&8p{w!m8J&w=;rn|2lgD15_gS%G4vbwR91p(&d$l{+!u};
zI{g|k+pAM>F|_kP#*T%GDqwuOLcfg&=17iZ0f!3{|CW_i1zX~(E%Ou3#UODOCCB;=
z$3TP#uT1(aTjc-!rG1`$eo%)%o(GxB^yz-i5U1#F&-Tgq82=YH7G)yZZ6~{K5jXjF
zksJy?iEB$xKM5*LO7ad##T7kKs}RsXQsi}0d&*F9SQdU9_F+<UidzVA3Zc-PD&?~(
zp_a0i&PjbCR&L$u!VXUk0tS+JWb~(Oq*ypRQrM;_h4M$QkKHQWrLASTdUNOM^I9Bp
zd&nhKZdX`A($9aiO47kL>j^Tys$Xgh34e#6h;b$)NEfZ0E})v6iV)24952$@bTQd4
z04`_ybCP_RCO;Q7SD?1AJZ}PZDmDex3+_D<`=@T7BD(N7BRR!Bn!F4OlrVbvid4_R
zKI{(z!PGNKTthNguRq#-%!hBECpqTOWS_NE-5>>t$9nI^#6oJdu@X~R)Ru6ZXBu?c
z>}MK3HDsBY{U1oM=)nzV`%S(@zDOhd(_Z)odpnu<Grw>ym6*JWVD7X`XHp2d=OK@K
z!j=CVE}}o~-%m?@Dv2OF#})ZnbbmTrrO5;`yhvP5!FNgRMC*Q6jxm|>SwhI-pE{Kb
z;sUb4^W+aCK(29&bwPB@mC^Z|-*!qUFhYf-_Lntx#^GY0f)NO3yg7T}j<-W~h>*c_
zJyJfzyvAQQ2exEA4bWwNH4i(VBn>HV<TT1LFV+j=5OYW8rwyipv4wpx2LJlYOFfGf
zGeEcZdmxGVg@7x+5Tp42f0Igo_hh{U4${1JV_K|7dk&@~!~n}sBX<Z!TgAco&v&o{
z<lgsG)Li0|W^-Wm#)EV&(;=aQ(PN7IF^#WmBl4?g7VD*<e-9IZhv87d9E{E*D-&3L
z$FL)=R(OXo_l`s`qq@P@!u;vbfTbb@GHKwj8R~l#{=4K@ztU|VT!~~gnzL=cP)s$B
zzTlBf$;jxGR+DO#!{z8cqj>?Xe>-1CXnTu8@apd@RtT5Fl1xkdL?!~|zvXt4_pk<C
z%wi!6=m_*?2BauTEa8Q=g1sus@Fs}+C}_Zg9ao;zqeP(zk~xvyI0_?4UfUw&<?j0=
zvt3(;_9PsrV)<e;o;@Rk3eCfjgT%wqiA#+Cdt~4;K9xY9A_MD2GdTy7#0p7uXCQ*T
z4AO(2J^TG{;@-?0mU1jG@C~AeEgc$F?|U&4Fk;{0I5s7*A({LK0*e2R)_c_pjzt>t
zTQ)rs)i8MKn-FrY;@UwL^jY}-JC>iq67jB*rT;y^e@_l^hE_=08MCCpAH4uV-i1@+
zxR%%~VKuqMsfEQF{2PI9!c$D)`L$)|RpR=;JNfjlMy#q$dCO2PTUJ`wGay*<&K3z$
z5iia;Aj{u!UO*q=F_46Pqn=~5elUjP%uI13KUP005$q`Q*79^*85><?kB!E`eswIo
zep7pX&twzlL&=H%R(3=~qTjcp<J4i>|DFe_9M$y2>0y4$Wy1=7O>ecQiNyPe;E#;r
zykHMc=0z(a^*Ap2F5leT%{dh3h3AJWkt0G%r$wxStRLt<c+`8`r_1{$v`6Jd)mp3D
zeTsU5zCX@tr-vo?wBEn|rToi}cm??-rt79`;yM&65JSq0#i)haq#A3oVYML4+t<Q!
z+Oo{M6quCjZ>LA+vjh#+X~p%$IIq=_fbcEh>J)u3j{k^`u9te3qQ68BF=rG<S)1e%
z4sUHb&95u2JB1ajpta;L)6D54tqKa2h9io%=2TH#X6m{Sd-h|pLr|SXU1`JX0r#ki
zYy%4d%g;Kz3JGkC3?)0-&!M%2`SE;juCnnO=gF2GPNxm~{*J}F@GDC@g0zrKL1WIE
zyUW{#*ric{QRgz}*iVCD#`08SGQ>0#?x`m!;T8B+I_67P3rZ^VpFM)}3Vs)A<=oVy
zr6`uU>2_I~@-Vp+`zWvU?W9~Ci|Y}u{CcE0`VHG%%C?dy)-Fb*6j9fiwa>^AS6DLB
zvmRQ){)N@`!2$2CPB=j&tr>!5a%URL9RK)GU)wqSo*t%ODj@hl%u*z`xqV>1Kgg3h
zJ^Pb$V-Ss+Fr-T+TH0)Sq21sbPw&lob)zQ9oKdQj?-S>GC({Ar)0QjKL({UvvQ`Ds
z$wYH9W1-enquiX@@VSKf-tE5vt{#H-Hx@TTXECxA1EW#yhi5Y^6FafhC-x@i5qpA)
zpWYAL9-ba}^KYn0u61?B=O}nspH5WG426HMJ_e~m;cjuF(Cede^Y{iin_(-;W^94_
zi=}G%A{<o3h#yT=;`rG|^X-sdcwl%{ME^SH-{cN6Y`riA3I&jUy;pMSu%4og|31b~
zt5Um8+(){^uMow{12#6Eo-y`n%$~wt2esis3oCkzu}yXFw$4^UwC}gX7gzPe@N|4D
z);>|Be;aY~UAmve)F`nm(*Nq+H9S(RC}Bl!J9JOm&=D{9lTB+$w`HJ9@Q>)U=JXM9
z$AAHU1~?PtkoRfLYb@MMxJ)a^abU7Nk3BeK_&v5iD9pI8BXw@dmj^!sw-uX1RbZW(
z4a-7@+|IWd!NLjz6l-)A92Lg8ihlX9-uJmTIr^Sv0Y|Ez>G>?En<|hh)sgE<{}&Cx
zqQG!2xde^LncCTYW<pfRoZia*sY_?k`US^+SJAphL2a7l!fIz$N1o&*`XOu<ChCus
zJf0mxCund3LHqejb*hV=)Hcj8N$Mh@;`ox5#g<07!~XZgvDmR^zcEM3TFYpH<;CNU
zdG3lb6~-R;mMDIRB)E1<y(qj^(__@zWQI{SP_#7({;F~()!~OACKD#0ncSSq#hxWM
zck<NVb5^2hyxC;bWpN?$wP&UI=K`g3HIu1lL%9zM*(TYuw}!sXzb>+Lh?|)DX-(hH
zGEe4idj9zoCt3Bka!3D2(kSwCKT(}VJ=iN+6V9hD!=H&QlWnX8%IZ3}vFwnaYUm4%
zC$be;x69{1TENA9={vYb#Qjx0^`sy;2Y0G=v^KO{oQjqT4TIeehGnm$Eiql=IUo9`
zX0O0k2xJ{{ZI_bjI?k2TD$QKYK#M7IFfjspa#_&_h~S~(_~HYho$JpqW(zJ7feAHP
zA8Wyot_6+OvfD^Cw>+$XJ~_11!R^0Q+^>;Blqm`evD8kOH<|crVpjVGihe;5Fk#nK
z*Wflv|2zr#?J|9U$Pb4U@_faUa^`#{)_1RF59S4fAWagD&KJ^4QsQ)2Dk}65-<d@p
zD#nW&zJ8==4m>neuM9X~!BE0KOkI9P6UaXOJyie1*H#axu;#5cYEbuKhrW@5(ZYST
zpBNkgTJZc(kJVbN!?Z%K{FNPiW{*?`3Rp&hTKF!a>b>#}(3JsPu68a0lKgSTClLA2
zLm4W6(!kcQ*~E*a1oU^erzUB`;0j5O5zOk(+pL*GkThRL@aJ6*C8xT=D@prITIE@d
z^vCTx!H(?t3HcQ{I0(IhxOS{AmiSxbGMCLl<Ka;AV#|**>z5^uujSeH2oDlmP!&-j
zVflCHZ7J<#ZaRlex)tMXF^I_>CJuZ}@pFnFCpGDX@(@W;fc1uhY7-iqCR^laliRNj
zgC2c+sqI1Rxx-l$r}K(T@b>TTiZ=rFZa~&pryS^<&yx#fD?FWVX76^cH>pp0&jGel
z@!<6vdoR1Zg8925uQ7|}=ah0Hhb5pg*q@)dp?gUh_ty#t(AJm-)jnuYz#)y^*_&nx
zOu+4R8@I}AFMW4pABTC>#g43Bl%x9Kcbr({(P5i=o8Hf?sIpVC^VhqPtCj=HU-9T6
zaDTh2OY?U7h-AbfX)As#wih_Kxq@;<z6`E|8jHc%S#U`1ZGU`{mKp3(?2Elrin5D7
zk?iXq>C#*-mpTG3m#D}PnH~uT)xEKDPv>6}UJ`k1kFlXU&{5LzHD=u-BzTRqyJlEP
zP|&9kY(!oEdRBWO#fy4jcqDvey<Ve!Py3Hcool24JE{BM@WS!Z=vAx^9y7<w0C1NR
zSKgquy?i%T0HP(L7Pry`ads;Mt0hPWf`Y`ea#hso)YuhF{_@;4DLYDydA*$;H*u(_
zXt&`S8hte*!J!g$9Hr%M_KK~!spY!dKfvEVpzDW(QLL?PY5RvQn_#)Xd9yh)3A5dW
zo#&y5mT>B;`m5%jl`mOK&xC2h<Y>RbLqC_@#hhL>+u9vbFpHV4HDk3Y;$7*jt&F*P
z&Pb^0tM0e{NH^h&wNd-N$}<CBJgG@#oF6wkN_j8GmTCRKaD!Xtw|5`p>WbTbe+&Z-
zR8m1Qo2Tn`=`dP{7ehHOt;5k=f&+$n0IZWlJMJtW<kz#djL`x+u!`*a@W)^_wI$Wa
z?(0x0t?VW;;SgO}_Rur;?Ngw3W|?U#w~YUZy@y>h-*`ROTLekM3k}-R)>5a}&Nro~
zp;O;#a};JM?&aV`JIxKx?4Af?{YA7hKu?Z!;fGBH%UBFdtyPqr31jM5d|>;TTa!0E
zGd452QabQ{kXw4Q1TL0~W<&l;&nxrs6bu54u6Zg#ET!E{7(Aw{05xr#L^}~yvIvE;
z$CaaS0-BrDP)e?tOptvLm_kkXVw;=&0Bt!_Ov~S!BN_ho=?Sz?#mHJIX%fPHYbk6j
zJW)js9}8`i(Y;cdG)AnhknHS&8etrJp%>fIf^nbgnXsOL02hzEo#^{Wx<u3imQ&Yy
z70ASlB}{;R3xfcd+W*vC1-V~1Rwu?np1@Wj*)N>Nne@;@li+=0YBlk2GKq>y$7>gx
z(%18rgT`zp(N$Hf{=zZxSyTWHoO%Tu_Q@~f$)A{5Jk+~NDjI4@y?;XGXz+1y6Tf_k
zm(Kn4=~H&LfA{m(dd&&a)E=ImEzQkQM4TuLD>2HZ5=Lyv97JV>g@t8hkpmkmEv^-}
z4U&?Q`uh3+^8+7%+s(~stRs;Jq%gVb023aTNkS=7UeT<;n2Wxe86cS>05a~2gC%==
zdk6wp4?vgz*a09OfC55L>{Vt`r)ka7(h?lR$;l}%FW=YK2k=8&TwDMJ$bMl?=d?;H
zD4-?9G*Bl&9L_g4X5-=HJO>!$e7T-jRH(N4Q7-_cvbhi;a_q3wx3(B4C@Cx-y8n{J
zvCx#mQ>6USy>&als%B3f)oHM~|J#EZ6cl7*V*}6<CkKZ;3jOsS)0&dvVh2Y@GC{8&
zQ&ZKjrF!{PuBPT@j00;b^jFHYcXxL?J3FgBx9HH?_V)I#U%xgtb8~WX%9#(p8vwkq
zy<PC_+qX<iWdL|wSa6@tm(R+|0+JD{L|%Ar1X4OXdsXE%wx;J8&jZTXu)}Zw+KP|A
zy|q<u_e&HXAOAQtja%*g`+~eY0k12p=mFo;v9}*Se6SPdWeG1cm!mn|naojER^}(Q
zz1Uv>qt{eb5k6QfSi6XbbR8@;I668az{6i0t`OtkQ2T5fbiTOTeJFtWF)cSrRtaZ_
zi41(wec$#6>zNz84?fufUkx%fwgngl$e~1|3<U#YZZ`2_DUx93BM_?4!&Odk@g4wL
zJTDJ}n&-&Ei-E+iODfu%0f?NLxw_os2*hpAJ#_SC+_WZB(3=P!KV)D-F^#+GV_&$S
zbL7ZoIFZ2Ftdcp<7UQ(x36=@0XC&~+av5)J^~J<`_7`gKnY5`F6c##h@bL%w`vE#B
zDK2ikQ2j)q>Rj>|CsHy8w%RVh%=~?P+;*keSuCRri)`{mH4wO>9$zTWmGi)SXdwlv
z*~EJ>dyzYy3zbVtBCCu{=ZAm|vQRviuX0=O4ZLv)37afui%mw7WHu-mFlJ|G2cpT$
z*plDcEdRZ@knBThdV)_%8dZ<J-o0_`1JEUa5E2s+`8?iVP8TSCkzXZ_=p!N~25>PS
zFYn<}!_j(Q1b`K3XdaP-jT)*s(K$gT08DZ#|AT|<Pdow&O?y@nSZLSB_4xtCE4%JC
zrpv7dL3|#c$A|mQ&Q1U&_k>`2dU$-SDio+XJ39k9cXodM*7}E%iV8LfNog_4(h?s|
zesof1rjX;79K8SE1+z>U<7#X3zt?vmm}HVtQnpL=2LS1k;I%Tj907(=YK-8CH)lfd
zpOW$#^U`73MC3qZH~yahKE?x^_kDaAivLZA1Er1$dR^H8$;Z<wu6?BY^pQ^6*m(1M
zI^X5~!p6o%fX4d{J}2J$F9tpq=H}9hiVbyjAXF4sKCk3x$GNej;{~%ZkgBs-$dMzW
zFQD7XuG-|;prfG~S80Y|yo}pBdyHuU051Ti#l?H0Uh+-UKk?qwn*_&jcYW&U;1ESB
zzz{%RBjR71i;B<udEj$L$3c7Im&BCv6yQV<kP&XRF8;oPllYgyH<$Bbt9^}oH$-XT
z?S4K|q*@Rh6g1S6Q!7+lQi4gsUFq=q-DKm3Uds7!$(%`DUEThumo1)`HrLjQ(z4nF
zwRZJ(_0#aQjBgmVpGU6rbJ=tH8!1YJh*Mr)U6pFrF>r9;z;u3MrYo#AId1ocy&x0t
z;E0ou_rZ-6r)1KurK6*h{=W3WTIQY1yLaIg6-S^fu(`PzSkJWHy?u)Lk{4+GDFD=;
zFX8;2>4Dt&g98Hxo6_JQCue7)j~_wZ#B403Z{v7^3z-rQM;U-%+$1*O0>EG}U~WjN
z<dsQp%|p}ZH9Xf(uYnoy@bI9zJ}xAo`*`{XV@h>;ex58j0I5lpgDu(G%#7A{WOJRR
zTPM!JkE27t^Wy53@h@tVm!Qz=*RSd5c0dWje2LO((`rU0XOf?vU!zPr&&~nqVSao3
z`*-~sQ*;0!1;fV={lkPoeF8`OKg(gJq@)DZ3^q1wn2vEI2|ZEtfTO*A>|>rEoUr!P
z#z3@`p{xr0)_A6^jZJyuSOs5mb2B*R#U@8HA0NTR`av8Xm0C`#IZaK?*E;oRFtOmE
z^72CfyZ?L7iIR#6oH(%cA@vm4J^lTrz|63ljvBHhgQfCqN=*K%UjPA)3*O2J-hW4W
zG8Jd~J&h+@J5E%LCf@aM*?nh%LdzzX0%7ZWx|NL$C@cimQ&fvF|Fa5Xsc(-W-n7Sz
zH^>Ed0y8u=IyzTj5M57!RrU3)?azGqR3$G1O^<z`te`}2d9*6Eghfb!A71Z$>jK=)
z6TR0*(cZTgdQA>N;*?pir<(%0t!`BS55BPey_}({r+2>*E%dOH6D=7ULUa=jYA~Qi
z(hOd%MUQ0xH8RhOeXVNap{EuyC@Aqmx;3U_kN2yO^j%I;zE`)mRu&fCz<8JwQ=%$q
zaF9kf7!Soo3*JZ%ZN0(r^749$D5|E0vluLV^BY+6;kSZ2W9{Cz7^M8%*fcK68nuk?
z%dws!sxAAv@mpJ!5Jl!wv;m}k8CYZ>6&`HuILdBgHcV3fMw^x9%Y5S+`>`>ig9C@E
zD$0-mn1!+}O#OurYOM6x=_#MbS>ah}+=~e>Grxh2<kVE(hwE)IPtlX>uPv?zjk+XA
zRQvnAMl9V?7_;)JCnY7$4_7_E4|IUf)fevtvHyoG5xLKfo-M`gg16h5G7!Y3wLNdJ
zQe5n$tE=69cQSjhloKfWK`$M{zjLLr%5S9aXRE~<oKL|>pZrC(rN|Nsi%&wll3PFp
ztj+W7a?3l6XPB724|ms~*db_Ft<xa6(qX&wLt3+;TvIVxRXJ<KbYpQzonIjJ(<e(0
z>hD9W3bO386Kf9K+=67p*eW8_)tavpHwI`E5_g{kbuKm=-CitTxwX8n2(_*c50e=v
z$lOXvW$(B))s~M;N=Y%?ojSo3EJT8+X|y-DiTCzgSPAy<@Lr<gYZ$VSzn$Ny=+G@L
zsS5}wK|r7%8rtgXL(0lBQO)PT@WNGNIFDBp+}+txIxJ)~KOFYnoqB~GR_k)0L`e+~
zmFwE8scyW{*JZWQ9l1Illgodn9Gg{P+m@j}f3{nPN&3Ud`4|4{LU;%(EdAl({PJ+&
z1It$)$3X}ZXe(c+v8t{KgNHL@Q4<qoSYENv*GH#SkaN4$$Z6Mi+?_&kbuBJ1+fWpe
z*HFieBA#d49I36VyFVTvb3OVQxi0uU<|j+?D5l`m+LCRD_t8s17weJ+*Pb$+3wimJ
zuC7h6=Vacx$)O@9wyCnl9}@!w`Uxk?O{}}SrhKkjjV;q)%KZG&0OSHqO_s7ULLZ-V
zaEaXA`#bL9J{tGBxE2r+*k$ln@j6hCjedRteHCou;#oL(d^noTl~IE_k2+fN3sS+A
zZ%g4QT3AUZ!rxX>`MCB=gp<=`ELqIwq*wcWLqtzkg_f$rVVbI0!8=#>n?Pam8Q^^9
z=aCT+(JmX}jV4+L1aJ3iUdbk*@py{(!zJDveVv@H8Jam;S;L6Hr7RN<Y~~#w4xijW
z3l7$M^(y$`!Fg{F02UauB%I-~F@^$0lIbZ#WYD*4%F3z_n_EN}3(}BZe0)48ohCBA
z4|c>3?FEHVP)dB^NURKlVL*n9wUSZ;T$@j02T@QNDPu>mu}fpADhys!=sD`v<cq7T
z`;k;t?|tQra9Hm}G;ZWIQ{aTic@{{nH4HKV)^k0Dc0KsZa3IP%g4}Mb_kXwmwNszb
z;zKZDLN|rd5)u&9`73ZFDN)G7cxC3yhFBRP;QN<1^4p_D-G-gE9j^`+6REzd1Dm-I
zij>1`YC$R4zqhwli`2--GAS~<MoNw^V7HOP2szpPLY}5WhJ}GaxMA(;sxQulCkL*y
zbyAIN9*(H-{X1D%42cPyUHH09YC>92>VcM#`CNVYO6xD31ftX+RD28uRE*0^8V-|p
zR2T!k$KCMPUt<i*iiTcthW`|Zj8|n$FVBem01s7G?hx?R{~mfFyUB<>^qRZzW+>iu
zsj(nGMLu;d@b2-f=oJPnRuL`KxtKzMWjHe8-12gFVrCN#Iy+w&q`Gbc)j9$Kg4}`v
z%&lx(v>6;GUS5ycV)Y&^woJY+t+odFO+1XR`u67yXl<6c1z0CPR?<#R>@48KXiU8n
z^lj{z0v;HY<%f(<SjG`zag5oTDl6^Qd&7Eoo?*~(u&m9@SyGUdl+<|&NzKl<L4L&y
zFE=+n6DAD5Ya4#|5(AkQ%W!L~q_k+#=Ts6Ciuq!;xjyxox}<1QS^2qc+n(L=I>F`<
zkZPXnNQ;nntj&g@R=u?rh*GfF7*KYsJpy`*h`0VMR~Qg`dT@DoaKS@FL{IJQbEqhn
zfid!kn0Z8z82j}!q-QKs=n=%NC^)i8O+3I2fWRhXH=uvpNJm>uPj7XsDkY^lJp9Zv
zcXz)R0TOp4Z*M>Mz5ji8Ry4aa3Deh))X;co)L+Z*ZCO?_!pgeaYxwgw8|w$ow<Q(&
zdc4BB1ae2pgSW@W$DpPTlau>gU5@!}T1pngVhs&sTe7rYn0cmlk2I#oM!)j8Y!(+C
zOR!s|q@*2sGiG6hX5<yFZEPUCoZbupNgBndo0H3f6dXHSsF&dP)eem7oekC1g`z2M
z!>14(9gEugZFjd;Vg*aflYDtAIl0=w?=+MG)yeGiGBT#XfFU8xg*&*ra{@zldK%fB
z87?|0>fzWU0*bTWzcbU*TYTM))tOMP1&NuvhX=+fwU;0lO}`eM*QKtN%^VBMPIax<
zJX1rBQEhFZt5YF4*$eDaPL4(xjA12Ry-`;#`uVHqkUy-j;f)VZ#N6>NdM77i-{p1t
z7w`+`OctsY=j3b{vI8>{mJy*=ytV2Zoyrr>W`y*F2mHt6<}9V-!Qn&IPjv6$5oa=i
z>V;;`@!ri<=VGvawBVGmXD@bRuW#l~uYZ6GLV3K(AtJ&F2Uo|+s^E0PSHO-Wc79?a
zrF^<|T=_a_*zn+SbtoX=ic`_4^{wE;)ka?gKHy<sZd1FvOSZS8N0aGnZxL<%CIo+A
z3vm@?V-oGocHe;Kl!~?<GET2%^ETR00Ar332h3N<qoFl7>h2e*+Vu6^=;<|fi;AhM
zi@e7dWEifiRqLpEVW4X*P5yUraV9%QZ+Q5OmsjnbEP8ESlfaxJ@)Nv>vXT;ZR#yMm
zkIJ<4^hJ%0ZZ~JU>t@fNve?^4fnC_HT5fI<<Q1gm=YD0<)vUADa=$cIE#N9DI<{T5
z8ysT&KFYzw!1kk=)3-Zt>(C-pTthN=x7qoXwze+75ySl?r_U~ID(fG{weM;zA`#&q
z_tZnuNIr`Ai^zm^E!KhOmb*oJcFeyFzgxL*nO)ZXC>wEOs24FaGn1X24YEtVLfvq9
z6w-PQqDX1#{=UAUtFeN9$xp&iZ5<DoWHK=5HHezCmFOlS5uEE`Oa0rY+uzd}eejs^
ziLu#Sfm3$=6P{=G)q3sp8gLZyRf>A{RR(G4KJ&7(v(qZ1(cR+n$jc{hZOOr4PMc`Z
z+U6!m5JMCeVr+EVJZAg)p1>HD5JGyInwm@iDF7C#CM+^JJTj8_(6=TilE!1fL9`hB
z+1!nvG*S{slF*p>HRLxSw)=t3A}u|AWMpJDQvpsyWKx<sE;%`Qe<TqZ4IQ1Bc=hz*
zrFiko+#EcF#3}CfxAS6xLXn9HBh2`r2a^;A3viRr6=Y>+SDj10Rr)I>D<^k%v1Dsv
zP|m-$zn_+wiHVP_lv`M6UKv#feDIoKwbQ5wvX0IY;27n=g4Bewq9yZG&d-AXXykn3
z=HW?9!r0_`7Rv=v0+17$>-e*QBtVS;7si<TsT3DISwbbn4L(3ZR<<NJ7ZJuN$q^YD
zDfU-fl`V!?iN4_=zAl^ocl1+b@`PJ~1CgwR2sOI_=48sPpPX1vjm<%+jy^az7~m@A
zI&l7UOmuXMAlNi9D7=eFOZyBsW1&+3>PbvY9BNm({&2kBXPydy$Lwb4Rl_49)YXC;
zP2dsX-QOrpl4FIQkpFQ-ikZK^_G<qaR9RkF=ytJBh!L`3#|_pFb_WPjl1p@hN?-Y0
zZ7eMr7B$d_Fhc%86*o5?0K6fJGzG*n0B`{MP*!^6_%;G$4THV1$o3+)k`TLq_qn|&
zgTH1?NJua?HZC>jAbqBId3C%2h-DstljY;%6Cf}P&>WB+&_5xjSpPJz5fKrAT$dQb
zZwEBv2`b)brVtqfkRuQrr6(u5Zw|(09eg;wIM9(HrhD^^W$*0r@_i}U8OS&Q83enH
zbN%S(4Gzj1y=IO;)yZ8aklBZ6BNLJUh75>&&2?D0L5PoyjZG@(73u}hm`pC1w!8av
zj4L8wT9pBc)h1d3m68(2ix)5YJPJm;yR)VK8loWq@F>Kt82^p_XX3XCqAnuApX%#f
zBqW{yabN&MNYEhYaDRW_TZyDlZO`yhRRu>$sTM50)%{fR;x|Sz2v{<Ne1Fc&;9P(G
z@`V-$CE(L1Bu`S~6H)rN80zFPLsWep`CwrWfb>PoWsUW6Xl!hDZZ3lhwm6~iH95J-
zunYc~7Olaz%G8*$GNv%`J$-?XD(dQqX=$UTH4D}kw3%LjV0UtJZUuJf=y)n}KqzGF
z#;*^+I61k|YLgLBKom=DtFKRzre?5GV|~&M5G-zXkY+y4mFeK1NEjHb4i1`+er4q#
zf(@>-Y3?|A=<1Su84+;U46U!fm{3pw$W_7!JcKKe%JM-}Ru(l~foukY1PA361;sBA
zOn3dV1EA7ImC*p;BMDw_#t#k-1_lN`;2eOn#x^U53+S@`QQ5V!;_b&#R8#~wSU4zs
zfW@=4M9hBG);2vgmBggO^+Ojctj1|~YI%7%3zjQaFb!ySQnIomdMz#>#5Nnx@CF#p
z3tEMJ#YrL}B8->3)L2v*UxR}B9`0|Er8_@XF&nfm|NN;BLIV;KYa1Iu#9KJXnyV!{
z`(t<DGqDlo?Qh@A5#hTQ7Me;+txq<G*0-BI&i6nn`#clV+xuQBn)G0~=>-Hv`UgE4
zlmkwY@71r6^|Z&fs0sjvf)C`kJ)U{AP-8X_^)ldqAU`h;@Zl_#w8*Cn=SsBzHIG2_
z4KZW~2$cZY1lcTAGzUQcXySLbw&n~x*x73a2c_-TU$o6<$^bUe>(^-iW@~@A`2&Ux
z2?@c>8Zl5;|GmFoT59yfiQgJPSzpuBnS4C5l(?<tUaQZ#9tQ&*0XSE*(=o`?Mt+Zc
zx%~1xpsO%6<f<PL2??<K9v^Ox0#YJA)GVm0s{`WRx|zQ;@R~GgYHAa^XI-YFU<rzf
znSi<`?HwK-4nYXE;SmEHeHQ)#8ktCd`3UlqJn#XQop}Eh1cAGi#H_~~_!$L`Hyn?E
zz-{~cOXGZ95*C8b=CoFTL`M@JLe{D2m6DReO`>o~1^8bi7-mX*FkBoQZa%&q6F7Ha
zj&}ss{iCCDXh_on1fB{CQQ#KTrZYC_+C=}w0WUy)K)uj@Sp(D(h%v58?m_s&%rnT&
z*%_o}wm(}5yLAB`9V|>vAmqb;65IEYmEiM3Qnq5IAXEM!z!mex-D`mgz2tLgY-}Xq
zaS(UH+MRZGatgHtr`zxrwn**c5vq2*S5g6>D&9hOOh_2;4uOvV26{)@#pNP_UKP|!
znV67}klJbhU5|v@PB_h-1KhrcZhtZ%pEPmGmx5lJXS!0_<f&s@$8K(S<cI5fdzK^^
zv?Cb)pGBl5A!ya>bga&5zE`bwczC$RY}{t4eyq2bnujM@m^?IJ0_@|u3z_Wfi+xWp
z`k(m<{DRPjn>$@*{E!~Nq;wVv?R|kQv_+M!Fg`XWK_fzb(h2CRKpgBpe$xYc@9ph9
zIk3LI4v_dw??wQ0pKEmh>fGey<oak1dgUC*!A#7}f9SD3r~N=nTOcw-2$2K+?w`4`
zfU!K`Zx{I<=H@%VEBBtM%FD?CqOFRuvis>4y1($6LlXe(*L?MPfRGV3`@*Gs7Y+^%
z0M{_A^cnf)@85|D38TsEQg<;5^z`&_aB#!C_$8rOPXqn@{D5&6`F(P70)m3UM__*d
zN`nY#>gdeR&N{zuCN*Rsu-9IL!s`J67eIYLZz;*Hy&iy+o+5UG2m;AOD095Saa%!J
zdhnYAJsyF52B``FnQ?*rN_$lR?v&MhIUxZ-VNp>~aIk)hOQaml(vKe?3mVN3&{=c=
z+*Vq}jD#;=085fI8juUQJuj?nZEcThDhxUV1qJo*USkmoQ^o=opxxFe;qhB}ER-NX
z54Bxw2jpH55@0-g)&xA5tSo?jANFQTBpBaM`H5!n1C*YyjqB}OVgiD|;9v~$9PhY<
zgtNcDdOm%E-~B;{|E<WJ8hdD9fR>rr#@u#^0fj1yke-sCbbNW)3(zM6(&bfk1@Hd$
z080qSz&Wr`91%xf4zMyav+V-K%xv?3+Fz&FzK{2=PEH&EGx7l54*=|0rT%W7s=B(L
z2R7c9YWmkxOg;Jik__PDfLzF1+t7~tDIo!epA>T-^<*d<myws37kKqaE^$1-NG1aj
zmeM*W9AX0Q7^t<3jmc|e##?jUg0u$M5#c2)=~eQTS~A}|Wv_YZC$B&Vnv)~8%V!Qb
zOCUhKy}bZ$ld8H9#fn!gP#F8lir_M_nT*S*@ijFyqMlUs-4E-FRo_Q%fRN=KeS>pX
z;s6m4z?*?H)f~!*2LJ#d!TP;%80G;aPC(NJ_fpJ_{+%+n??Y>9>QWky;{;gdw+eH}
z53q#Ul1EG4SAYnw*RW>cADJ^W)UQHdNC>!UMvYQ#?;9W!=_d?{9>5BH{Yn7fx#td9
zAn+3u5D?(v(y-VvS4`*S{Lmc;RQ?<6srYLEF#@rrB_sp_STcBg8?f8oQc{X)xr+UX
z)TJYWI_Kstx`R-K?$6?}ogU)j;(*+amYV_qv}jL(^%PhV0hj%+abw#V-1Z-H1+;!k
z0EGri%m6^>@x}nIhiF-2<JFHUBk*L<5kEa1SShISfC`HG&enW-?6tAPX}bT<zizF7
zD+;X2-@kT!C_7<()-$nbY0KU{grV@P-ZxHtFrO8AX6A>JkvFF&C%wM6nmjQ%f<zD$
zJwQuM4c-R+?Hg?5Th{b00FS{(={wGsz(7Pm)_rg}SH=Mtc?U52Ev`pV96Sgo`G60=
zPx=UwRlx8z@VS=ozj<`x^#)}#Kt2|-TZ8@q#2BQ}9UkYFpgaJ)#bmunXlO<$3ciUJ
z<zRX?9P~Ld5)}pI-Me?)Jw3RhGe9ih?G~Vs62A3fosTK205HZ?o>_}mZ{M11?g4b&
zu@s4d>3{Tg_n&D9$(5m@p#;i|@7`fXN&=Xfkk4fw#ACQ73jgE<;J}|CDhN$vCm#<-
zg4T}RtmaDH0XY|-$uMi{39bTK5QPA>11f1pFHD~`X$~3@fbLV^p{&K@ij?D`{{mGR
z@X|u9MZE49D)3-nJ&xRIz+d*@BP8G&9}CdZZiA3?3L~1$crCt;59J#W3iVZda`FNw
zRcvN`c=hU4x_~Da2geyGt-O3@`xphHqo2QeLV9|7{uM}$j-u;%1Vl1Qf%)3q-KE;@
z^Mg}D13CeY1EAQi+1MNa<N=gg%nC<1PX&`qa2d1-+%GyC2pOnZ`wfx;^bpYIfz1WJ
zW@Nn7MnhxHw&R`)Fzi7!q?4BMQ#T#a|E`V=kooR!Y*5MS<){>a+wBQrbbkb7jvUT_
z=qD}ZME2hWsR(J}2?5_8AHTtDoRqMk?Wa=F3@{`&H#h%C)a9l|N>W`o=>FoAu*F&#
z(`K5fYM`fgfH)2a-ZNg7GgpOeGi@pTDJo1vl<%ouz8kI>dOZB@iU|MVbZbm3l#9;`
zC^OK)k48qW`#+9*Foin59C&<-2@m$$(f;t^7r0L#NTqHk7&ff|m*a4`DLy^jd#%$S
z)J>fY;2PWacp-9Xjbwx%k>+Vh8$JtH2S65LlKodgK5D;Jkd>89`nM`j6$8o(A{Sbe
zQuC)E?3=GJ5OVwb&ELNZgr%Ui^O}h%WZEicde_9n1o%LJgWJ2fJODS1$D}=TD>G=~
zKt)2CWT0d78^+nn=tqaNZI=F))Qtajv&B4|pY#Y&?SU%HO-*T68;2DX6r63%0}XkB
zjSZGu16)p~&&@N-1&FRSn*tmrsL26LL$A#v@m*eXQ<Ho;?<_ETi;LP)Qf6!Uk_FRC
zi;IKCCm<z}rd9zSp`+t5?v<=Yxh_woj--#ZPj^P(O2Ud}D}TEOTrBzhENAq9thDsi
zdc+$PRMh*sJ5bR0v$I22WP!z-o)H)4aK1MSECB*ChS%Aol+wu0h&VcJS91<+Q`4<B
z&r6Uk05=#D0J1r7rH>vI)XmJyOigJ{I;yJd4Gq5mV5p_#Ht^Yt-ptgio&(GREZWC=
zhlWDTSaNA!udd`LfMR|420c>pUvtals;^?63UC12Cc_C?==kDdfxx{r*sg+@*bCgU
zjEoFBdR4gurAd!YV>XaSpZJ1=?j$-R<7cD&M$BW#>GF%QvYmxJ^l`b+JGMd|)lGj7
zP}XW}<j(yC4o*v3J0&@p;+goV4RD>fFcuIyX}y2{URfCq5)OU}loqsaC=DV-oG_-;
z0v@lLSDTyTp()^1O9%ZbwW3m-2Fn5M2H0VNB%2ORAW8t0c?TDl{*P4<L`6jf93#MG
z08+?ZPC}zJ864q9%l*Nbaz_)(Nl{f0k-sbR&{tuR#bWq^-h2uEIVyLafG%JnpID8&
zxS+O6)&&G#>93_i)esc_R#9>ZE3^?L$`D|O0|MMJ@%kheBBhKb$6UZm%p_e+`1xww
zr<&?<6j#P}U3u`9?J5%3M89+moL3wRXeV*+)1L$OGOj$EIgu4}Q{$%Bggcy~-#-oq
zU@(5x7EZS}Mgkri30aLJ>{sh@vM@C{`x~qv$<7zO715Zyc)6lVB1?FKYk<MQTIpuJ
zb1;F-M_OtA8mtj5B2eI&I6kFrtA_ZuY#D4ofd&-AP%#>D5euq@JgMAqAptU&7`Yf6
zLrP#Wn5WK9+oc1P;K;>9I$!AOyYX<d5ws&_e*?Q?VL(iLVulCi3^}w2m;Rtj5kDM=
zVIGdE#xcb1@!dQd^>}w)5$v3e8_)<NXWs%n!gx7>gRkkRLP5<%EkM~8xeQ8gF(OzU
z6hBS!P?!HIWci2F;BrKA22cgOdDDuvGL7>DB}~Px$gpeoi8(PmA)eA?Zr|oue6pG;
zm=6fyXS5$Jpt?6~u4C``<?n!H;c4=_z`7TSOKgQNIj(81rP=(Y{V>emfkq2@QNTVb
zb#kx#1NTpU*^$dhZse?IE_C1<HTd`4>a{cY6GyfnaS;%#bSy8}4S)l25>~|kvckvx
z^lqZ+TVtNRU6`=oQ1n;<o>D;66Hw$6X9LsnmY3*06Bj*+H3oO?EO2C#W?x3r&J+&3
zO=KuB{Apq-D-0Ps%QL0*IoK`Ngp1!(MXVsuJN9~_W)_v3z|Q@b33&4kl`~V@u891~
znC0K1o~dyV{<^Ju6F)o}JqBuxPay~plZdTs5T%eXDY{>XX8?gw8T#Qi!3T>gYXJ5)
z27zIo&^wz%YEtP^FBSUKbtTL&N*ol`=zN-&?<~u#CHnkGXWC2Knhs63j*>ws5e~eB
z173RjnOE|oTlTf_>E}VTp^PTpqMO65mbT~|QtUjs^1`~}#GbW;pUe^?!H1d(b%2@o
z93_{a`O8YbAp5~*j_=DkNgvQWk||Lts{vie1C1O<pQ$#}#P;oq!g{Jcj@}zKJC+@L
ztY=}^9;jn)5l`OyZn3p{n`vEMUJ;c|xKbovlDJ3Ex~G*GoE7|^(d<F+F-3<oMb@v-
ze~o_{B%0NSg9;ezcz|o?j(?gGkvg_K20;sE)wAa_oM)VeuqHE(e(9O&YZ9OJhu*Xr
z9&UA#wqP4F<JHw?#QJYHGseosiz~deEd&=x3O;$h9}a5WigV3V>nOBwpU$?ez=R5A
z%7<>K7%z3p^RrB?OiF%p$Zqn(XRKxV`2w~%g%-7RSKg=Yk|1u}wDLM;K<REbtDlDP
zpnV_Xd^^DOGNj8e#u#v3b8~WAPu)|3Q@og0XU1wfUd-jrB&;x6japcb!Z=dRg9$Qy
z*xIg4tHMgcijx?iwd;p%7k?M&oBY=N($yO6VI9yvV{$nhUXFYGgC7k^mB;`n;pdUf
z3q057dS~Ui0WxGHkHW^ZAze)k=lU*k^;tO|VA^HHNyW{Fe8(m#$%M}dBY7fUHOQj9
zL<7?4@^kJgG|Ih;`84C;C{yzrM>dV9T#=nxbwo6D)S}E19r>3W!wZ;LF5rjywm-UC
znf#HtjUSAC!9}ahpbdHt)8$<q#<wq|eJ%ItEh(J+Uf}65Hdk+=fDi~JXn}PBQ^=c+
zAulic)ki19xYssXx(|6?%H_<G^O(Fs;JzLfcvPNtH6?E&)o0H4dHSqf*Vty9U%wYC
z-c8S=@1Q^W2sUwXaNZCk`oT*5kA2BTXlzHzgF?YX3+<u#{?)?O_T`Vxt+p09=Et*y
z>A|kjozl7CIbti@O})_<C_yu#mYZLtm6NuSGh8{GNhW#YTqxz~aOx8pNE-N~?pC#D
ziFOGVq*xzw_I(zD7Vw+N=$kdvfK-ng*Ij<VHmRR7{bus@xEm@odm7XYMi!#Eqrk~w
z20P!SFR(J0!!QiUwIqz<RTjoEG&$I)155+=E0XqYh4HwhR~q^n5G46BU}SwSdI}l(
zA>T0FFnyGv+4-V2b_s3&_CWCOkJc;nW5Djz#07Y<p=cq+Z0Nh8js)8SSY&Rgw-(=@
z0<G-N&V<gU@uMu<pLd>OW1CzIEdbtXpV6t@iX7|?=J6#|wNGAKsHj8cm3)q1s{mjO
z>xt^wcsq@7b>cz76w0OfT5wP$!;eWvNvl)~SH)%BMe7~&AFJn--~<5OSQl?zaL{M0
zhjUOQ1e3(6)Cmx7<Q{E!9omvIlCodF5Xz7qE7)7ubwB)z2u)b+aC4>&XaJl7=s{H8
zcc@RD_Px%nrmN68&N?DQ=d1ZIBx1GB-nnXnUDEjQE04&5x;_g9#}<c!mM%FW!u*ry
zu^ik<Ioh)&ibO-Eo+1(_rFDpr0TCBnEOK}tF~>9t9^z=V!CG;ffwzqQr4J@bD$?-n
z!GeU16mo*wgO9n5HjU&R(Af~h-qE+|S-$PTfF=|yww+JT_Rj#7lG@~8M0=zt3Dj)^
z5FYTc`)*Nf)jt*AO1dsVOKH9iH;ifn@1*7>8^${X-zrU4&2$;ECMrI(8BZp_<3%6%
zbbz*N*%WlC4yj2uz1Fd&)B$E9Sp{mLl}j5>SI|VUSgWlLQ`aNb`$v$i`bWRk|M$}`
zbw*p!BH<<S70%lGfvSCQ5Rl{#q(zj*PY?Rc<uXN87j<|jk5ubH?@@ql=&cO%!Y~-b
zhlc>6;XJ|;w1*ryyqYKAB`P*AZf#&D(tnGk7s|~^lG(HEc-4j;qs9cf<;=6r;50y+
zh;dxuFXw=$L=5O#O`htw24=v4yC?DI!vzs5w-w=ve5%JkntSBqfHj_zq3lr7d!!?z
z{0=mzgq1vlzU_F#HifwBsOub$ecWWU6r8n=BLocapM?^l*`KvoXwEhFHr|l_>n`w3
zT`KtPh4Hx6oI3wr|LC-0U0EWt$;~>$k5QOrQv8c<ye?JqBXav@cp!?h?2gycb<61y
z!RvmCA0Ot%YyMh3V&sa?kL<1`2r<09WKk4IVz{aId|$#<rcpbkLS(?}GWp{Rt$~Bq
z^3RS+B|7U-o7%sX(tJrYyy{!F$xbNVGo#9{iT;3a!CeoO;Q^+{jCGx;;`1)~{*U$X
zA9yIni@T|1RHiivPM1*ldCz1pZZt#6NeaoQmlO38C!hn!_OKNMFcw4>^=h>&mV}$s
z)!_2JJ`}>7e0yyBch4<k;qm$jsqe$rm3~Pi8%thG@aIX@6VQ%f;ySV={{8ui8U*2@
zCsreyfc6zPbuUL5_L{KW_O6#rZ&@_u<Q?RVTsA=9QKh+`8ULtzY8M$BKbd<T52)?>
z_tz*DQMAoxzdHT<KBVLEMe6XDk9Rz5%~!dV`q378YQ6uWZ1&qk{XV<7F1s$`C#UJJ
zucY+slx!rXd<2o4*e{=>1mc?-R9;j`_6IYhFpSce^5uc9hANu8-;G3|>QAQp@Am@q
zI~Ej#Z?!~a)hD|w+_TN;;01|K*3ISNPLI-j4QuB5*An8{rp5s_lB}GppXpA4`V@F0
z&@R;8COCDxdyHzt^7UfT1>6INlvmYx*g@hJW!CDmDs3&-hb2M=^7l@~lV4ruv=!>)
zqUCHWEZ#I}t+!9U+>LK<U<T%9gfyW}y?)_pDRf46y{<IB3<>Hy+p!cieiqTs`;Nc4
z#Bx4#C5_R?yLE$qpekbET^$ZJP3<Y$b}Op;NW~juXoh+o*p>1U<sY>dGhbDKJ^XvX
z_^)l!oGlKawD)^tnQVnsiB0^)96sPj<7ME1Mg`#BYsQV={(jq3>J)3)B(UauLb*>x
z;EV?7-%8(ek@s`5KL1asJ|VrdnQ`_aY`(7sy|V83k5QMh%Ha4oBM!=uZCiy&G3Rc)
z%p%_6(Ktkitu#3ilA;(%L{|5u8DFsZmBLh3?)sm;RL8eDAfS`%RHnV@gcwyoR7L0y
zqB~R&Vp%|9*`I|$wDg3fGrZTILRk_d3Y$*|3?)8w#?VpWX|6gTqE%AT8%ifU2Qe@Y
zJd$SYQx@uBX(WaeFF1r!v=;=}CV?QXZ})@K2!4hZ#?}pjH&-x?7}9wR9oCFL?wja;
z-w^)$Eu1Dg6uuM$vBx5!*`wTS2p|eKhsTvyu-8A7Bgc->q8Rji{ulB1&jtuX&zlBb
z8*f73UjeZ@t3ixx->oyd3MdDh^pAL9CyMO$E+j-}u=qFG5F?2Cj>svLw=y&SG270-
zD(30z{cvUc1I3?3p#|IKih*F5M`{<WnT(nm#Ys4T9LT^`a-2}!i2`(R(JuxMQh}C*
z{ypN63Z@VYb1cLk7&v}0KVr^8ovx5PZP(xSwv;+O53&yc@}h^RcshrnP|@svKv@()
zcDC|q5r~BiBs$_sIUN*+%Hnzv!a(DLiNV?bg!aF_Ik2XFb$z?i28f&qrJ~Q_6tVu>
z13CeRK9x?vuvj-?WrQE;eSD8Pq>TVIa&LdsN#w_<AaMTN`&ayQXp1nGu=>r*h=Fo>
zO;6BYD$-Q&{D1lcr`XY?Yle}y9YL@TSo1F@$OQ<(vpKgofI<E$$D);4uU|dq)P4Xw
z^O8VX^_`Mi-Gon4+lo_5knbDuKEJFdnjl=QyQoTvlMzl)=ju%UAdMsKy9NL(IOt{M
zOVG!Xw8ALX-9Dc`%eBQt#7op3?lUWC^CBn<83K&^w!8CJ9TBS<v!)wX(*~Iaow&vi
z8CqYo-V+&w_ZgjApT(%KDVT)5+cn=AY>6>D{19a<gQn=^eZvXbnap=4*d{5zV&!@r
zeB&zP0-=+meNA!;z}j!+>YFo~gWLN7FZgpm0cb!ZAG-R#V&UxtHsA44zRUuvJRO4f
znz2fg*Y(qbL(*rk$-3-tDcnu!e<9)mHRz`Dqm>p)*7vIU(K{=yE}JN0V)~c}<C(2y
zZewO-7_kXn>2PT;^}e6C(tbYH*+ouEGhmsLm{PC3_ofIpn(@r~45b2RF2-_^{-FPR
ze_NTy#aIpKEHqDjBqnDAjfNoENU2Zpqx!a`dVX*oyWy>&g-Hbmjb92ipn935epRPA
z?zeMZPzMf^4TAzr87)vWONq{_`Kaih!h3&G$O7F?sboLBytnGWZ%pV&@b$ch{qhCf
zDK`DKgxwFnoR2{_Ip|{pse>Qw)yi*INr4<s`UB?!(JYpYhR=Mdhfd>HR}lmBLiuQR
zTX2Kn-~TO9@DVg^ohyuQ|IIw|{i(g+G4(+0uo*ZOmK2VcrQ~KdoxXh9Brugp<Qc9l
zeNf@_jwmQiy1nK1VPXuU7qbC5)}7@gV~)SS*R9=U&n8)1?4xaYi<UzPB5Pw^@i}m?
z(pn3?W~-W>Vjx0Qs|Ee<*y%i%UN-x8nu1@V36fkXj_{`qrlJa*S(_;(rTA~Rl9lLQ
zH)}YV3?=^5aISN`|8|QIhwrZ;H^QALqCg!V6}O(${|pg+)6G{s2{#>d1bG-8M7Bn_
zgWp}EEgebnVxcYcQX{#SSnOwCtAU*Fu8%TS=u`e|t3%@DrQ)SP_^hZr49HJ3`^sw<
z0jf;3nOCqlqWCnHHwHS@5DJYK|5q319ZyyK|M5$SbSpb)*n4CXWo3^-h^UZNvWg_h
z%-+dNWhNsldo-lXY@#BHsD!Kt{a)((`~LC$%j3A`+<VWt=kxizKcDk_zUIUot~gi~
z`9HUqW%?EPJ+R9r<AYRXPw0hB8A%kAN&2JH)I1mBrbcvTZgR{ow@t*_EJytKtSnj+
zq2tOGdFDuYhZ4p`7Zb0VG`7^RgR_TkVATQB6X-PrLb%MfgvLJRtSGax`qZ1tFG=q~
z9J4WZ>Kx%jZDW^WFaLXDu#MT4tzJ)>-t1qMINdt*qVmOwJUJD88f^-R%w&-rucdE%
zd|;npx>(!t$47qie2jHUNePot-Fw`&+`2JZSFpUcv_gND7piT3UBQ`CHL*9j$_y*;
zXgBiJuKR^I2n3w(d4|X-2YSv3%TbH252sq~@?*M;GcY3n`p%l5B+N*>T>F&o%CBdN
zuQeZz>5=Ilf~X~URM3+S!0mOG=dTFn>U2%NuRXN;=MP3COHdM?SvV((XO9{mBPh7(
zm#vc@B{zWp8kn(@T$=ZA%#oXm*FJk+<xeqE7IPC*(bSN;E5LMuwYqs`>{G8Zywww(
zi9L3hvlc_*EnBh{>`GD>e83gREmT)a=ii|GR?YZ$X|HJC*E5sm?iNOWwL?DUQ!-m+
z2?W%Z!9NTylDNI^cKJZdJ{0hFkXt5RMyWpfw1UdEA_1nbv&XorsbbDGjBX*%Z>f<j
z;;KTK!Tr;|R?sV~@jUfjhie~vr0c~}64RSACc15EWo|<E6emh3FFRvh>GoCbf^3td
z<HCkrH>AGK%<n4vPxX6?Z5+k@gm^rhGif@X=jPW^kJN5ENHn&lqfs$5H5^dgvpHuG
z$TlYGTGu&58=O~&eICsd?Ypup`Cy<kCcA&OTJfFPzAEyeCI^U9)wYutXDlm9-11$k
znXP)ozIK08X0CZ^p(dl5T;dg4-dN+Y|NpCAk%uuF)=Uu+n(!2F^qua?wa>~^(&eqy
zSLes$2IyS*UImX<dN0&Gw3ss{Zu57&v0598IrZPdcV;{!Vf~Eva-OPC?tcpIM%NSl
zX5E*Bt8K{(M%}j5B@3;p3ufj{<&O5v5qvP>L0;^2?Y+LnM8BP$asMj_x>4O8saRaF
zdFca5(UG~Db-Sy8E5yU<dopas`0bx4G0~Whk3QTTGi>et>&)7ZL%#jC{iesu+Jf7t
zoJS6q^kw(iDBEbSU1LjVZVzsIz)=6rK>se^Cs*ed<~u2#i4PBIsnmZxW36y8f&|3}
zmB_UUQ39c}w1>a??8}QbWdmjQOcy2hNS)#^s0^sKo3wZBP-xG9O$sl!npq%Nuqm>c
zp}qI?_0tpgS{({5amuq}(&*_uCHR%yF3FDm48NsB>13a)T+oRA@Ys`=Ay^+Hh%ZP$
zf!(`EtYtdrL6J9=Lqekd>j*2>NExE6yNp9dLrNpxyvQ5%JQw2NGhLbWX?3miuFatA
zQPSrDvlDMpBrm6A$Jl78?8t~$JkI8MY4O?EM$fnh?VoLhk?x7po$DVzbugE{d)uT-
zP0+nsk)PWACR6m=*?tSdqWY0vY^NN)UouNEdN-S!hM(9-A?44P8+zwXyi=-KRgox-
z(KyZ~+jceQhW_AeuJ5E0ognYWzPW8n+u+a@&==6rV4>kc+nNY|prLm%Q|7T{QDq+%
z{)G41sXT$*a$-=1Oiuxhc#2V;Lv}=4WofcWVMlHGT&YJna0{n<CdbR@+*HVOL><JY
zOMY9!^QR0+w=dA*&rZ@2KE@Ds{Z!HdlfMslrSNaR5viM4_FeDe+UiG5dCR{g+Fh<t
zF7GC$^!lPX<T@TY2@Gbdacjs7TB+zDA^47vwPa8Jz(T6~-7jxP=nlU4pyQ6kt@l#Z
zt*<yJLugR>*si>x9<xk#;rp~WHL&lTLx7lFG|6N}X%BPeeGLT)#+}3pH^*+V9P-7a
z#nr2;_$Mr4NdNYQ32mXO!KwScJso*kP(59DMGET-v<+M>ulPCzpJ}RJ3T~rR*}=il
z5??E*`-WwUSn$$+{YAQ@wfLRbU5Nio?bF$N<+jPodxk&QR$BW<+}Byjxcp~*V~fBJ
z!28}E-z{C~&3L27^Agy(pHUJ+NU3itM#)%fFT9-e@NO%eeS*iohdJdX<t<LUaBOkp
z{81bC;ZWE)X8Fsn2BJq<1}aGS4lp+=q2$Ev9IePY<0anYi5Xq$6WOYSYWJdp9+b};
z&g{OR@}w+kARTq2Nc1;3CguHc(tkf~ufS%MNEWe(^jNw=AgWhu1>S#e#fq9(L$`#$
zFU&z{W%q0%{Rq!VA9_X_GEs4qrn@z1&B+3leTfK<(QND_&2OUL+)o<mReXUA<|>bU
zSoK&Muozw<@`S*DnG`3s7gc{;G}*&FNN3^Ypd1P$Cd=;oaqY(f*1n@zQQmKd`n~nQ
zj!;vkhsIi4A$((b1AZnJcX@<yDD8mZ<E?D0SeG6O4Bmk^jG-u6<Pk*8PP?0fFVvIi
z@4v7k1IM$L@mmR9lAqT%o45uEy-w2H`cQ&~^~CFm42LF#|E>h{k2|VU?ZrnYq4-Bd
ze&X$ImJX*P_IHLaq`FyY@bzQaDU1BdS-s}}Os9J2-hRFBwUkeKBF(YGbUcRaniqWh
zEbWzxLk;t!&z{^KYMkk+9DQ=qnJ4F%-gCm)lVq+r<f2A;-$>Y$yg%|VH8LtkAM2#x
zYE)=Qjb2|bUXr-w6U?eua(^_+{l0tDm!m(6W@>6?_GqN%A1S8UO<_()S|1T8f6T<3
zOe@`-ZbzhD1M`6`sdu<fZESp)Ip%PEsE7Z=irL0m;!5t-tztKxQR@gY`jPS*(~yZV
zehkiLu(P{RY35w@)zfV<-@Id2i)7}$G5RUSMnCrCYT?YSMnxQyHqkgLf|2dtQP*&k
zDv{ckULeG8?-6I^lZOn1iu^eBg#9V&^LlsnQRbU#(6v3l@k41!|Mt3sz0?fY{_dqo
zP!o4k=KT9!8C&tf$vA<(FSL-Ti7%=o{d-|QUN{%W_3wx+YT{+8+yA|wJ*$)bgINBI
zGG6&P4=qiAZl7EZbyudHVU3T6)VtBE_`8=yI^Dv@00!EtRiO>p#^VLinwe_Z2a10;
zI|g<T$&A9DFOb~)`jQy`?_HSpcL@`Set$P|w%(|)7=B><_j~JY#~TelQ24h&zqyf4
z^>2gqe>XN7$p4;r_{HbcJ9|<|c5GgS@RtAGU=Jdp_<MbH!4omA)E55zR3e$PazoRX
zx_?(Y*oS?{J0~x1erYKZkKZFBje;cBkV|*s-jSHHBOX7MS*RXN-=xgvF{2p=a0#hV
zQBm=dq$w-CWiPp)p{#Jg<kzpK>u*#A1(7FdFM(BXbCZx_o;bJI($V4W;*uoo!WN<G
zPi16e^mS_LL#+qxv<fMIP{HmVhE7+a>-9Y4;#i(dATl(RkC)fQ**T}MP~PKbrc&;K
zvEW8ahA>0GZ8mL;a`$J(#~UHTO!vOt{&G#r$cO>F?k5#BwL_<$;QQO_rqG5pf|PpG
z)Wq0pw90k#s25N@Ac+94y1PZWxB%E?ncgdHE459s^~_T=77QoVdvP%>-7NX=l?kYO
zFTczq<_|^$ouPx%R&w&+D=Ry%@_Y64_uDu*%}h=4-qB<Y015<>=hSq>+?*f#kSSCx
zB9R!^Z>Fe7LSW(MR=Xg$gfz6HVq&yPJTdCmTYCoI@0AjIT>il5$FTUrCwZoi`C6EL
z6@U>z=E}*T{GAPOMoo<ye97VVMO6g_pZIvA^XJ(uG(Zlo&38a2HJI#Eqr4fl6i*J|
zerSlVplY9#qn*8dN3w(#KF&8g+s3J8mC9JJl0(zQMI=D?!l_Z9YRE;L|B`o2Wj#sE
zwynLLmyXgRNzUs!_*%HDhMVshY3Jlaby@muVg0J+1wn|lqKx5s8LGSmjl((l`A3j(
zhrC5Mx3c%dfM=R{4;H%~sf{tXbor(~k5=~hHJgT~%?O1{=lh-l%n}E-gPS?r-kkO5
z(G=*A4~|=anGv4-*^mkjm29|ULElwr<_MP*kLv+bs4@;-Du<{&G~p~Q&NMw#W?zzp
zSt0NqKpHA+UEm**v?qXn{B~4li{aqn+D1lpD=4U@riPoFyTO}WwF5x!fdfZD!g($a
z-+Z24Tl>DXb;o#fM+dxJfInC+a=LiYQZxzAt99Kz<*G&QN1|jRLiGSAAxIH2tMzhV
zP>`vK$=u2fj-qZhyTcVrW*Vv*@4iV^#q#{Y)dy8}1h`CH-S+e6&wpB7{C2MP8Xi*5
zgoAOfu5$VQR)p(zvt==~(r=(WzJ3L2EE{j(Qe_4V7AFuC5KviDGtl2pBX?<}-s{t=
zh!Qyh;p)t=*LVv(K>?g-wcEEuZ5t&eKM-SxZ0vu0#uOopXTRv^>GII=-Qi>SW9y-6
zZ_iJ7P~k0{Sg$)JR>(#jq6}aNlpUa41HL;&HNX#&M9CaRo_e3t(&85o$hVyf4<~M7
zi7T@Ea`W?_R8;KVwM%uz1qp$I0s_VY3;{(z(D5jr>P41T!eirNKOW%DPL`HzrW%fp
zcp3)OmZ>Ri!}QDNo92#=H<3g+%*V^a11dy5__IIxZUO=91Dn9EU6^cwxH?8LpFY3K
zl)1iY-RAq-x3()C=?Vrrp8ghofpgkQN)kE&&_($baI;M~$)BqH$rHfHB8<eU4dc_N
zp^Pqlnf)|2#&!HIHbY|(&UfEy$>iio+JIRQE^EJ`lC8{wNk*DuhFTPj1U$D3_VzPx
zi!<cg7hmCa{(Xg>>%_hAi7n06P{7Z>3Xk!!zxr#|g5Z;y`XT67_C4bL;H#6JX&@aH
zDN<8YK_nsyu2|$NGwa&=I-(st8Fug73GPfqF?aXS(9opoDnKIZh~eR3@DxE*NV7EI
zpmDo;6<ye^fB>q!z?v(VFIrh;Mn=8~s$HE1y*a}?V<>n>6D@)>78Jgj(6Ub0*yBnU
zmw{u2GZI6dZ&zni*WIh{cmY|$^`&GDkBUn0>T9<W4e{oqdePR_21a=K5?~UOW5?L#
z<Tg@|gCFx#W^<9={{lWS2?61q@9=eSD{g1j4fm(I2k!QrcRqRp0s+*>$e`KC!aU!C
zi+$bo#TMX;oSbBwWTd_bDkYdV$8s`HrZ9=#n8*+`t90(p)FAc!h(-rJN%0l%X+&$v
z96n4v$fc8Pb^d%$sdP$vd1)zojJj6^4LyD1_+`C^{>UL51%L>jAB+Za6~x5m@s$Bo
zDS9Fd6pdS5J@`@#`T{V`Q6OgtYM}^6?CkG9=sY(pEG7mQ0LSKBro2UZEBaR@RjP(9
zvxU|WCwnvdz80qFGb2hPE-CB;AI&UB=>3G~`1o?GW}1cEeM;a4YcBTjrH2d)DZ026
z8}Ow9w;wqOViVB|FtM9jzD^S>0|U1qibkg$9gMEDx|WtHd|l*Xwm7e^E{4!@w;UHn
zKgfBz8IbUdckD((&^a>Xp6&{wJ$P_qVX6nag1!O(v;KRzXKG=0zR3YSH+4f{0S5b*
z!PE$`<OJ#m9YleJMfBIo3hss_0rf0>e}DfGlRv$WPENUAm-+--869uPW+w+ADa7jZ
zX(qx)^o9XhRaG8%8(i<H5s{q?Xb|EO64R117eE^le5$KuOfrg22XFjLpI@4s2_e<v
zE!A&1l)!$z!uG_%<n@g;kGRjy(gdF?U*1sfjlF#vaSkWE;UB1T&~)W}-6>8A-NHM&
zDOK7<sr(L_<Q9U}ZU_9z@_*J!FHvvvpIcuZS^f~8t1us0bAUZto_Jr5iH)DXwZFgr
z*)sws$Si2$olVq)2grt9nCxO#bv>7V($J8Tj&fvBmMTOUR25<{N?sw|0;D&F`M5aE
zEHGHRDJj`RVZEc}Ml#FSr=|I7bJ^S5@1dg$ZX5#>oJK^809!ocnF&i{&!Hu)>Z#7O
zV}OT$T<~6)q>g$`8=_pI>Z@RGWhD;r&xC!hPVBWqWNCxV7Q!myNLx!wcV{QdYNOpy
z>UWMiV`F0x`=pixnruoRY9}cz<X-=TF@oUZD0T!_1=O9MG-4!cuIgaaA6#h<;zmv`
z;yOA7b|QS%(h@>|8N}*+`@%$zcyGM#?OjMcx^VBVoR<u`P5HwZ7Ca+^SV~Gt5L43K
z(-R_Og|ybJtZ~@$BLmEB&S7>S#ZsK=Sz|#0mYi7zVwrDNRbtEg<fg8pvb~cNvRZk@
zqMNNKZ&_Mdaip*!mjY3<Y;2^QXd>uY0NQKC1yD_V{*3q(I)XDmI3FK^gTwTT7fO`3
z{BGVh6OuwVEi6nmUYMIJbA5s5jwTtQ(@uOasLT<gAhIP2nIC2jRM`->v2$>|Y-sQ=
z0uB`yAHT_g24oc!=&(>VZF}$jrVoT9<ST8i3@Z(d5VY8|(S3S3XzJkin*?$F#?O*c
zSin7*vzL;PAR{!Ly#@YlVthOmRUhI@RpN7V`IsV9wL_ZTyxB&OmX;Qml+4b|y!5Ud
zY#zqswp7_YgwCNM<X(8repDnp1C$L`4hF{9=g$l1KfAm2L17`vcX(HPv(*N&RJ`s}
zDKm?0V6T$^8{ht#5aT{_@DTD@fP{O|JzogTl?|bM)!J(R+>gvIrQPO4qOb)Lr+G~D
z^os2VgsQTjpYYO!zIU%cybAOcw!k(76xg&S`ZB0%Wa-0=#b9vC$cSboOCRMLq!S8F
zaOknkRt#aB3}HaU!ox8Jloc2IZVo~K{F{W1B+I)0!0pHq01gcu{uX)a_461T;lXnc
zIXXE(T(S{nEcrx_kX$h2Xb0<s^Jwl!TUH?l`2G3gN8!t#)nn8Hl4s}UsKXkMYNc8D
zA~|63J^g_LI|*-}ddq9}4-9<!_KnstAucX4IT?5Csd9?2Mo|$F#XV2b(_gf-ges*e
zP$06xM`#?q1qneZjY<i&Z1A?dGP1JlY-}(R01_hkIzX2#W^!r@Avu+Qg5(K~BlUHT
zA7nl|0LcXx9anzQ@|Vc_RXfxMDAfTSXZK8j>_$kAY5AqOpFc&##d|wDgTuq)Ohemk
z#4rT!J|HP6i71_ySL_W8;!s(DeN0QU@bap=bB8_*YRz>|CJhdKTt;neZENdsC_-c3
zzhAPjh>4B;`F&7qOs{uj<PS~>88o;)8X6ihGERGZf#AtXOSdIUv^F<i0R2ZPd#H|z
zni>T2en!T(gM++O6#Mt@N3Mxg%{F|2{ky&l*Lj}I)}FFW)#fTi{53dPo{Q%IST<UE
zT)T!501#tPU|`EVAyRPx7I(5n{010j!5?Ze?cEDGdb1uVDk_5TS5~%&2K#|)+;Qkh
zNb9(0lD7EJ?SzCcV`DT_ROU7|ftQ8MDm&ZT1*N6mzI<ubo-AP(4FVQyB0Lk6*h0od
z1e2k6@9xWcZ#3>Xw=h3T{tUeDnX_kqjE$w|<(Zy4_tfp1QSYPI#I1%w27T;zG#3{Z
z&>I^}Q-DZBbum6Z4yz|c(t%0jZsBQkn85>U{%WZ6&<@}KNQs@BpGUa5%Dcmd52K=q
zKjRXzcZ`@Pv1LXDY2jeYJCL^m@f$TcxX#>uW<0B&oHRBxL?2vl(GZBhVa(4=%7j?K
zSceSwQF0?pxGP;n|Ixy$h<)g%FV{F}aveIfJJlmZnTD3O)M-R+kUk-ib=UUX=k7bl
zFVBss?Aen5f;FwttL|tt-)%so`aE&C#i4{iu;jY^=wg(QGTV0G+}hgvGgqg-f5$`z
zT_R2nF*_<mmK;imM2_z(CnxPN=AvsuXJ24ktW+jsF}!0j!j3J5M_T$C($Hx_ICy!t
zNAWk4H8PDIh<|}9ys5PntPkK=RsP2Yt(bB_OTWbxY%ZtTE0t~`d~`bn1!k21$@R<F
z6G_tRXS#$F9W%4D&sI8*A{N@tNO<D>*5xi?#<tnfKT#Kt3D+nb1VBb0Xs8@leyn8f
F_kXEtV#WXf

diff --git a/tutorial/figures/wf_2.tikz b/tutorial/figures/wf_2.tikz
deleted file mode 100644
index b6e4410230..0000000000
--- a/tutorial/figures/wf_2.tikz
+++ /dev/null
@@ -1,24 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (-3.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_black}] (9) at (0, 1.8) {{\small $wf.x=3$}};
-		\node [style=none] (10) at (-2, -6.5) {};
-		\node [style=none] (11) at (2.25, -6.5) {};
-		\node [style=none] (12) at (0, -7.25) {{\small $wf.out_s=5;~wf.out_p=9$}};
-		\node [style=none] (13) at (-2, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (14) at (-2.25, -5.25) {\tiny \textcolor{violet}{$wf.out_p=wf.power.lzout.out$}};
-		\node [style={nd_black}] (15) at (3.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (16) at (2, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (17) at (3.5, -4.25) {\tiny \textcolor{violet}{$wf.out_s = wf.sum.lzout.out$}};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (15) to (12.center);
-		\draw [style={edge_lzinout}] (0) to (12.center);
-		\draw [style={edge_lzinout}] (9) to (15);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_3.png b/tutorial/figures/wf_3.png
deleted file mode 100644
index cf8090f2f5015817ab9595b2861178395b1f5a38..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 20036
zcmcG$Wmpx_zdt&3hja^wbV+xo(%m2}ol=rg5>g`4-3`($9Z~|)AzdQfa2MzN&b{aP
zzq!wSarc7{!*<W?nKf&D;}i2qMM)L|l>`-nAPjjqDK!X!VF&-LkYT|)6*xir;1`OM
zoUSVbq2WILgMm`gh#-g(l9v+K@Ju^M_b^cZecP{0z$B(4&f{DqF0QH~?zE<*SFUe6
ztyf(?J!5m|R9{!F*ITK%P*PX%XC|V2)r1WpnF<yb=ErNDt^;>}e*^!xnl7>U)KkCf
zlSCiazx-qTYp$8Dqr#U$eDLBBJnRH|_#V%yV%M6}9*?+iryv9Egts^>^zd-&=$^_x
zJCZ4CyhJO82;bU_5g<lc85k5S#)V8Thb;9mAjmF8hgqu<206&7$)L%g!iba71_mub
zphSWmk3!UMaeBJ0uFieBMDwE~6hztJu=Hd7*wWGx9WfWY{i{HcmX`LTBZ`!v7}j;l
z>GoJlV<Q(gw}q8eX>WjR3`Krn;aG;SAQzY0dS5gG0z${bO{pGpU=i95l`&Pq;Ggw%
zED9m|IJqA`eoUEuOioT#piLMw_xASYBO9HZtf{V6W%(*Lg<y%mkTi?}FHvYbXwE@>
z?B4qf{++%3&!0bE;(Rjan46rO93QVLwM+a>jhv%G-^`ffe|7ux%FUFfR&{qj&ykMQ
z_$DfK+EqZQuBO&#;Gm~BUt!oHM}q^c_I$zx=XQE|sr=@Rp!eC%bN{=y=H|h)1jz8t
z&dv-B43eSf@^W%cPEIN%IV_r*niCTfeSLk%LBSy*!hUx|Vcm1{^P!=km{Rx;_m{?u
zi2{zxt$_n%In^dk=-|}U^z{XOE)HsHYU1N@pa2D0pS!D9$qI-N`g0L7aqK{`ECprS
zgzoO{=%^@II5@B&sF`cP>i=(5TuQ2^M6*;)O)V!U=PR4Bk(ye3V&e3xS1JCy$RR%*
z4!{{lMn$#yKR!I%-zIusgnteY$I?|(<1p)sB4jfPm!c+#Mua?%{~$mnJ>kzF$kujW
zK7m$OPp`hEBqzsoG>zYIGdVGl+jfQ-0(V!4VywR(392&bf)x~O`TWV%)z!?@w3*ih
z3=ke_{;$funCH)lh`yz!w)oy&V2R#2o$X94Ss`@c5aDgiR-3^<zblQOb6TSBz1?wZ
zj*LW`_dtNaryKO+N7s*2Qc}{=(wc`{7aN^-kZ2RGPd49(ii$#=MXI?1iU<2ouUlHp
z&NZj@_I5u%KhcM)^`nkQ2OFCk+9vVu$ms8NRVRP_N@O%;C!(OB*s=N~H95hpsin2I
zzmG-Ck=JjBhKfo?M#jv{Jl<Vl)D-(ZQh|2=tmK94=ezUY#zT^%q@>v@I$ByYxtiD`
zV5CqW6?!~(clYj43`r~|M#i9^pz*PH@7|FM>swgl=jNL6I=Tq^TtrD^gIguU%lmt2
ziCmZ%7nk$xkKoT(e`{-Nb8~ZBUSWlG`<_k6k{_Y*^YaG=1`c%>6ws1kZm+J6D{5g!
z1uBaFIrd~sEK#9{ATrFt{CtFa<~X@oyZ3T(axG_xiHYR5rPbBdV4W;fn;~I_-Cl2J
zYF8R5W~=Dw>#JVQg4sPgJG;w40tV~5@`Co(&(!V1!)U*+ax}ZUyRO@#bu~46vRc?I
z2&qBv(1*L@eqM(~Cl3!<?2XPqIIz8X>`5J0^eZ_vA|e6>m-f5h-1xYPre=tUU7Dar
zg&3vW>(}!w9!G2)cP_UV_VD6gnRRpYQVCfNh)79O)6*5H;~1HkR=oGin_Ra`>XE}k
zKmNKP9CPMdOzp^OwV5vYh=esiJ6qI~CvNg^cRl~mEiQmiOHsqio~*!{WNT~thBl#2
zE*cv>_gB!}VZ%x&Ci&jR2AA)RoBIN6AQZ6HPto@F?&=t<q2Au!wY9aqdIVS)v3}u=
zR<BcR_=!2+eM*vWB_Fx0?iM)-E?h%G8u%PlF>wh>5_mkYDgNJ^1X_DV3-ISzhoWS8
z>fe_osrSsVW^?-{r<eZ4!ieu9pahzr{3qo7uju!GZ;p>|$D$^iioWY;F7JeGiCfy^
zftf_&(umdTGFmjc+Qw96sTxKNw8mD6#STY=0f+nleRIyLr~FUUK-Bl{cjO&8#`!A?
zZk7FH6#nO)&_R$14E=yef*;LN&vFmdc=ozBCJg2xszVI_Rr|Ie^j^FQQe8r9Wr$D0
zx#4au(lvkeL*hq5>;TQB)1{wfZvx((CgqwuYy)D1e(%f6*R4rjqKn5)e=a_Sehsxw
zX^r%1+IE%g5S_RDqS#ON4MkzzJmn-dea!D{^TqF`iUQ069zP!1_q5T{(Y==u#S|Km
z&j=vMh`f@rB;bz}6>)qITd&Kf4;w>qaC)-gp}FT2HIyZtKE)0Br50<^5(}^DF~&&e
zU#@C7JwN;~b!<HMvF1HP<OA!;hknjW305e8xPJrB1%f=OGsf1KenlDZ$4k*7_&zgV
zGo6?qvJ`UN`I0>(sTyhhx46j@CquiRvzikI(xBCzkEvs8*N&p~bbbt35Nhxjz4<-A
zFmGG^JK<4y*O;8@oA|!)#?GZI9JF`37p6pEv+00;Caux}k7qSB1*h(lkT~Y@+>-2<
zbI=PYi?Mu&VE_d(*|mAMYgw$&UA~brpZY#g(oiWq`p9-{7w@1a%8W#hh><*HMWACR
zdO~FQ!?@%McYDZh)ccv6WPuc(Bp%WQlFQ1^*dtlz6daE(?HZI87F7pu2b(xv?-bs(
zz%RabnDme*e|)w6joh_#uuL35H&fg3&;kPz!_KpxI=fl)E+MQteECPKx`r|WH$-xK
zpx5P0VNmpCIIJ_42ir}H+!Qq|L~kBZGR3$sQD5dpkW#>rA5ZWa4*DX>`kcpIXRce@
zPoFWC(LBOv=2;LiSQ|Byx-Qjed-A@=M`%G5T|UVkE${`O3j+0F1&!p!>D+|)O}E0W
ztTNV|_->squKhPj^@y6;uEwm(SsO;3Tg?_Y{eM2%J{+C07%<Dp(7bq)d(-M|``i{1
zGgLD4H4<)!zjfM{9Fxv)I9&o25{#q_=AcNbu=l<7nakVUalbTSsB?U>N~F^0L@g*o
z`G$4yNAC}hXh+9A<SumfdRfO}g%b1pT9P*;R*#N6jFv<Ta5*mD+lK|Lzs;t8*J`+7
zKHZ(Flb~c2-)|}V7<$cqnk;KovVe-*7f68vJ3*O6NrjC8i~9d%v&NC$92G`({BP73
zHq9hq>?jz7Io=J^>+5&hnPmP!?PUX_R?nS<CJkoF99k%eVA}nrt?)RcCokoH$h_^V
zj(Ynml%=(GJlrPFAs76&_khSpx<8WdL;mr9Fe5c9k_op7q^Pkn=OB*kEvcwrWnpRa
zIHG{WsN?AIP?J>(WM^JrBg4Z|QBrpH^;!N1M$uqQRG=+gFb}VXMVNa@hDk?DyLEB6
z0Kz$u;QO-Z=;+eYQc#)Y=UepmfMTrv>BYm!I@;a6p6;=Xf`*2Mj7*8MMp_sv0wK&%
zh-CV2jU*fU-)k}xD5vuLTv%A>>IxLw>1Kto<4Nr@5%Rm^6BNANuk0{t^{kGG8S5lQ
z@4``ut$fRojD$te>asZ$Ma&8E|Ixw0T_|ycR8CY>)Ix*f{_gJm#e$=_xYMnS9F`a;
zIw4RHfxw+B8#7a;i;IUhMdv?DN`&55tX_zYj-JI#wUoOb^kvXoRaLcAtNiAmb_`J>
z!oIkuh|l}1C^K{A6E0nmhRqnEm>X6)0ZqbSny^oObhM(BRB&Km7v&fFq~U~w1gz&G
zACCX@;xlQXOMJpUl<+|C+MUc#WYYdSUpKt6;vXBi<<cbjcvl-4Ih_9{X_bpPkENMj
zE?J=-6iaA?tOpAXF%sEDy@*W)euwjQ;0nig-DZ75=qLEahs<kse-*kmEgH7G$Jhz4
z=4B^}0x6DwfIvb~LdDH?H%);ymB&6MJw2Va=oz%Swss6Mw!XeT9UWci0ztS;mLvs^
zW^P;C{bc@|Y5QUS06&}@sW739p+qKqJv}bP=+(#jyuw1dux`}`7HsZZrXZpB2RhEq
z#~H#tQ}%M(o}Qj|^WPb0XryQpiopQ|CO)y+`uRO<3??XN2=Vh_k>36Uh0))govUHC
zj-mzZ@cGX6u#MAe^+KhkTC14Q(q~ZB`@{Kf--ymI*uouxe6g<A!k!Opp76VF6)nUX
zby?PST>U|#O+Ya&nNno`OLcmBnwyhjIXacn_<3e#=Iz_J;MQt4P+^}3IAeh#qsj6o
z2^Ln2h~Y~-91QdgP{;h$Tp!r<Y$Ds)Wf+$%#*68Op;o2Bc}7Bt;UzQ~{>%VY9Q<{D
zzByDHERmD_Hk0n%hRgNM`93En=Q}Pv<H`_gK^-Hx<g_$96O(Z|?!NwohVMi=x+tls
z81eCTBG)v(XLW9FkCs1ux;W}k&g88uYfky_Cs^4}<UEp%gHEBSyn^RppY1oDvfaaF
z$JLaEAgXj)yeTQk(8=+;s7Tj5m7e3{_mPAh|1PaAml0tDt3btSzff=3;n#MQ7;4R{
z^S8!fwklg$ncTR2D)KW00fi9>o(89*QF5UbF2si_U1Pt%$)OumP~EV7w0s{d=DEoj
zhPB=PC_)a!rr9;v=}sKXjU;n2jinuX-%KG2lZm!JEb@=F>;2u^BOxU0H|MzZrjlCd
zDx(DR6|^Cli@6G+W*pJag`75y<)DCKbzMtK(=#Sc&QBc485u!R@l04?z(76J-L#Wk
z&Z107+0@)VUpzhfd2H>>>wS_KW$Wd#&qBTZ{(cCyJyLDZ-OYX_hzGNUZ$^Ih4kr<2
z@~zdHO3%)ecO@nkn4grg3_3SbRMgcI<UB`)&s)ltn#`206&DvrK|%Q-(((Ma#CJkF
z)cCP&IvSeB=H`oC#t_&B6Y=Zk{z5l*r*@>IU2EO#{QQP2toCdwn^H=JVfUbU1YOTk
zv->{AX`nUXEZ#=Bego)CmVaOJGcqcG*yLbIi-}q?SN+0vbBH>h^89RLXwEt=oE`_G
z&wTdkcpZz3j~y97oD0bg_2g{#*Lr`<QGW;)1)n@k<$TY$ic)S}PUhjk6$VD=&UT@4
z7!lEcRF1Yy((B`)M;M5M*yvgm5@YN=zio=It#$SF6*h3LP{-za-{#&CH)y^;Q@&93
z7LH=2Vd3X+lD9#HpMANrYMicWT$7yCH||nca^dF2?=&>Cyj(<DS}Ewn)FVSAYHFr3
zw8JzwKYAnol6@BU6;76jtD4&=)t2SrCZ3uhQ7`_HLwzdf5!z6{H$4@5czBH$kw=F+
z-@WE!XK#Nye;I1cMr1$~o0<9ex8>;XQj5oGL{aGrFcYJqU+&<Ic6OPt4-F4Lt=z19
zF)k#~#(>VDKbn*`OL}(p9|PX87+A0DZad?oybkDY4A?(mJ_fb=TvjwRG&Gm1U?3tQ
zl3^mX(-aGusKmMnEP>j6NvkNT+N{4uhuK{phM0z(UJmi&TYLL*2PTbB5Gvi>>zd00
z&_Pp1)92*wUS3qB(tsZ;4r?1^&XLT@%DPuC(JM#e>t_Tzp;kpJ2X+2i>z=lUg`ZRg
zM>?38n#yy)rThqwmq%do_HFimZ6hLprm@5US73W{ILWkHXGu$pi=@ncO+0tv_3PJD
z_R>D_@$sM!V_{|{At7;bb^TpoxKJ2ak&&_7Ifpnw&%Q&&9o^jA3_`N&$hTMO1q!+#
z%@h~!g2vUSBe=1#adu?HPK+hk8j}bwFDwixX;`xXzmh6W4z$|Tamd2ozkj!T_bzUD
zbICYgiW1w?`@&0`BK&Jm9V-*mIXqmNpP#QBr(?m9%n@I$!T2&xj`4f{<mAcDMD9>`
zO$~>m<IysblHb|Rv#5ytr-1~^K!Ntx+*}jyCu!=55HvysMaAKvp?ZfU@AW<m)Q~4Y
z!SZKHU{yIdH}K_`w@{WJ{$JAyL6fTCy`!VYgSlEG+IHvlz8Z^R&@f5RCID<>A9P5s
z^Cz#au9R@mymM0H)*=bnMl*zO?=M&U&!@FPr@5c+wYj+&Nx-saVTz2{nH6?+ejXhe
zxzOxx8^e&Ano3Sa78M;01A$%~Bxs3j0A%=hdATbr&dz$?obCSQ1U;KW;cr+-CW`2l
zX-{}ErxgXC6D18zUJ}Rf&z~4rSVxMlk$E~-Kf^!)v9Ylp%U*>^ZCX$5J(G6D-Regy
zTE!HutWX#TfG_?J*V|7WE`@M&e@~|0%{v<#Ml#7gOrnDtScrht;M>=)Gq-2>`1owb
z?Ptfw;#e)s@&JK(*Wl(o-R5%%>XE{cUo$fVkXYd_pYIXFn=VZTMKbBI9}TsjPB1Xw
z1HaA4U<e`sY{Kn#ceS{<NF^Bx5CJ#{lo?&?#~*xs7hXEp*$H`_m|v1d{QKvWUy_K2
zhX*hu20T<Z{nu`9OA->)W9qKJ06q;cMS^%0JP(3=zFJ#b8!@`fWi~vkQEO3QAt4cw
zj*-!4kuWjrjfq@YQXadVZ=iLq@jv;-?`o;3ndp)*8yp<`?1c<G0>ZiHTLlG$h3%Kv
zhES>*SOMT-FrSMo-cKok=`1ac5GRL@hSuV`jTtD$&d&Z#$g2iSFq`N>06C3~@v^gv
zEv<uW4iKB>j^HknG*SQdtSqs*uVP$eBdBV$33GFE<a|zIZyHW#L9ER5f8cliBjrvC
zORQ1FUknFP;(U_*Ovdm30Pwh7EObOkW8>!~sz@MJz(8-lGQVXfvU~qLDBlLwrRlC=
z#ZS-+*5Pwmq={~<6!kIa{*f@rcJ5z0C{ptC&;1-M|FZz<)+`5o%8wY9{jsmd@nNZ`
zsP=gBw8N!xdLs#I=MI{Y+^aKtD<TXn4s#RDOynLrx6ESd)A*c!%+JqvcS|x^dSH_A
zVG|RBVJ#jmmi!QEfZT%po^Qm;>((k2yDVsvl?gTRb@b=YGZCNn!C2Ab4fQ|wkD}1K
z)sfwh-nff%eN4DTO_pe@7e_=oK*NF9twz(p%mf9E)>5b&(#NhwuTx7mH@AfZ8I4^0
z#|j8CNO6}RI{NUA0{)GOKl&%?guw#ER7*$4m341{x=zblfFv0k87bvX2q?x@u~D6x
zTS^%PKdTGFN5C$Z(S}Fi(n&C2^%(xj(%`uA*H73`^Y!#xR;_KqZviDYGOh*6k5QN?
zI1m7nT3cHSlrt;%Qx5V;RQ0~GSoLM1JTQ7LZUtflpr{fGyb9Hj$X6Q%F{HE<6hTw=
zXb=P{KFw0CbG2v);!M$%GLo7|&k6QLaY{i-*!dbJC4O7sDfF-&BdXON{OXE^hUN|w
zfKTVKkHa6L;QVgpCDa+=uf6)I+5JtgQ1g{5&ZnL*tmlYGNR`GNMl5LipccxO49gJl
z)zi_LjX@~&r1tCWU`h*0XZ_g>uYGEQZiq(%1<28WZ1S|o1U>$?dK@jAh~${F6M-a$
zhJoRma8G_L^<kg_yU?UC;f1n<qA7~uK}~(g*tX+JyD%f8P5)=|rH-F>TTV@jwN_&@
z)6<4cF8S+yu=lx)`FndgrTddJ$rG!8w{*mQBYcX_%<M29#Q7vu^R_!QF!p8YPq12#
zL9AypXsmMEom@VOUnE^!$7Y5>xK8=<<qMX`l^6|92nf{h@I*vJtzH@Ei0jL3J|Q6?
zU}mc};U!j`&Jq4#Wo~aLvQb+I46;)O1?+UGb_eJd1{3IzkdOdUe8#{C1BtOF5fTz^
zZ*BGU^mzLCJcT4q%Ml_<2F7Pj@N}{n!6{SkvnT~+X%j5W%?;W=T+i3pqK5n!9=1K0
ztp>&F&U-<7W3p$Tq{_?7C9-1&&B1#F`1lqU7Ayvh>_S2x`l5(GHhp?gBL9f|7;89x
zTtS@oLM2uh<nIX39Sjfunw+$;u>sf^5xUF*Jiwo%sGY&Z^YHNC(kkrO2=7rs+{K4t
z;uo21jcrfBP<@WDT00k`&=A8cij5lS#Kd+iQK%Gc`IU#Xg_^~Wc6fkm?Q*Kb62Th|
z!EqNyi;0`!7Rj?9pyJeuDcXSV)<LvU+Ybop;ZsSNN5G@G=)yflV`Cc;N=D%>z7`YT
zg9nQwyfu6zAz70_6QE&}<SMbvuqA_~krfh(HXJIk0`OCLTW|=)`b4VH1jfc6+$S^}
z#{w*25sF>;l-vwH_`X`amE;Tznvy1?6F~IG|KK<8)tHo50E1AR8?_)bYL?xfubY%b
z%Z*Aew}jv;%5+hy1HzLR240?0?VlC=G>OrKb>%60<PCiAWf;xjbh|AySCmqc0YOvl
zQAILf?sOqhk-!4@?c2o2R%Wul%Z5B(S1!0wR1mbvvCu2}<8fwBe~(A%Hy|5Ysjr4j
zU}PaW&nYxKnhks~-FFZ3oq}ZB0CZ<0Nu8k8ThZLSQvy2g1{MKS@DWj+TOA~Sd@}rs
zXU_`UvFYXHeERGukf4B%@^ugb$}YSc`{1ayq~|+wS#5X*2Yf3j%RF)=NxYAQ0x;sS
zJ@=o8`#CheS*@K*BnovU{iE?BJZZimAXhL#Zh<ltFgcp32hLvX(q7PF24eCFIgF$B
zt~ue+MHrL~dG0cZ=Ep|KIc6wd=el5i{G|vBfQ`ytqkn@Nl#;Wcz0yP7nm%@U7$_dA
ztn^b;JkP_C3x3#qu_o{GI8rWG=0tQv>3}cValJU-f3x;EtUlL1(ZA7)@RWm^b0jon
zE~bw6JJ-QC`L#NU_b@FS#gh(Y<WN?1(W}cbgIC&iYo=YLn~9>V4K59^P}QU^z~RmZ
zyvw)<I6v#2D1TCqRX?oN(;^vu|J}ZD%Ytn9pWcCmsZ|g~pD%8b2i2Hoxbyiho09%g
zIrseP{4xzKF9UwnOlvz^W^jI^n;NuQ0#P0iWS%kf{nXz=bEZ-k07e<X4Hq@EJ9Un)
zoJ;w(?Uc-%UvPeYCpt<I*6pqtw<zkGnc-RDSfb29nT*AGRAL{d`26dcJx*`3>8|Nq
zSSI`lVo|^3P;d?Du)|fw@wxtf(wQ$##_Te>1H$FRs4V$oqA<N}Qq9g0^_Yi{E87Mv
z^vzj8i3;3Kx<A)s?HoS`5?{!htBn(i6R;AHM;DKkB0-)k$EJi;&-h`XB8B4b<YxM0
zhUgG|yY`~Na#VpGgCmuGf?0iE<4+IQ<U=q}L=J0B1DvNCmfGCq!xgpXKKYt&6P$WR
zo+Y#=fAQr>C3r2Vyk$62`nsH?$tLd+>7n8GqKxgv`Dg9rULi>AS7ZU<rEwMm%M$Zp
z-+a?g540;ju`!)W--HNrRkR$TmE$wrwHFTf+r~pj1=P9A<oU4-1?1m&-1f#Rm}OI)
zchmFzD{o0f5Qw=DdCDBM*&R3z`sR0&cRuO&T8>(hJ6`<1;fohH1*8AL7e8LBoTiDo
z46P5P(+aF1^FaYCdL36w$3>PpyUZPRe%7y#ES5cZ7t?R<HH4lSXX;}??4&j`LpI#s
zcY5}7Hr3MTtur7<5=|1|ti*A|zx-1iOdc4Gy#GA(oD=WEK%O{8<Md+K@a1umS#WyI
z_k2DUp=EAgeFJ>M0Op$Y&pZ3jTK@%8uC^{Wa&vLGL`f`a{te#!Up;{F1`z*bzA9bq
zSb6kW+YAw=4Q=J$JC6N;xndfO@C4g}TQwYIR{y56e1q0E2|&C3U!Z`L5fY8qbFcFm
zqZtT-7k6s>ZPxn)Z2tDACXUqatrT(Uy%cHXT_1?zr`!5Yu3pWdqtvAo4qN=XyvC)r
z<aN2)*AT`$#>464nlOv*?oiQ=d$RM2aM-wiG&|ZOp0xHH<+Qajx;p^mCBB^C3lhox
z=S}5}qufLKjTnN6c!`(aw5rxlOio->KesZz_@~*Cb)j2+&vy$jQw>M^VI0@qt?r*N
zP&gSwllGscf!frFs@(&s7h#mhY9AUJTUJoOg+I#pW2UR0D9gt%P&t0~?u*^(9zm<b
zAL>0Rh^I9Y9vhgn9vGmq$K6TYTZpc9MRv2k9Q*Lit6!JcSN;Caj;U&GxV6{@J0F=q
zzx(IXjKO^+@_Uk{nX#{X*Ln$rRt9b<JLcB!<S3unWKKuuNxAd8kBW~Db!9Yaj%2&e
zdfA02bd_#nr1C_W%Smj=&2@8tSpY#dn%;-C^W(zVKWM310_^R~><;ZQAo@s_H^N``
z+B?Z1N;_;Gc9H=N4)4oBzLY?^Ke(541XB1>(L|AZ;{!uQcg|j}?_AMpUz%$p?<s+r
z;(FZ$MxW9S2bDDBYsFVQSyU)MziadNsfB6sz0U1>3svD_X^#jg#hjduND!36KI6BP
zAO}hn$rY_m|4XCe-%q_*rE~UN4A*^;vn3lHO|($W2B*qG6q99;tTFi7iu)_q=);O#
zP<zDVH!jYg6X<y3DgoSxS!Z%<_J`T-p5?r{=4q?sn4#$++bhR2tG-ujYJq`>>p@)4
zEk#aup16o+j0x|5Qg?s$BONPRQIb&6>4^wwq(VUQ%kx&<)!yCXfgc9B<)*W2K$lm0
zF*xQW5++C@&)IWGe%`E<$r_8OHBfy68F`ZTj`!wQ<)r>M7O+q1(>{n9;hFxH4@;Lv
zB@5VguprxTvep`2*@-NATTuoC1)qh1NxHb;ro5zO@|2nUozixYp#UYd&8NKwCk5YB
zvNo4EFjXO%%>VoIKUx4hn!HSqE3FgWjmwu1fZZNZmWk12<4c}S!oSS742Dd;1dm>B
zfE1=sU-KzVMvE2dui5IB037?IKtY(Ddsi$Ta8t-Cv9Y`sp0iGtWVnbXS}0F{A}IHO
zY<YLKq3%u^gaDE-W9N}@2dE#MI0Jc+P}R^>-kQW0(joT5#0}8Qo9nsDxL*#|`2Bn>
znATUijuDJuDBkf}`%s9zCBQIFCp*4O;DJmfRxh9gHX%Gk8o?jGXsG0U)UA`jUB;CI
zjs}g!)b?*IEK(&74RO2p<#p`U&hpg~_U;4DIgYr4pQpQL+W|oubT}Csb4O#7F?n!M
zPr2#YwpZhNc9m+8LW0LDw#yF=zanXCxSPx{!(j*SIU80hgT7>{jV~p<6q28D)O`wI
z7T-Re$Zl3In0^ZF0ZB;HDDI?x(;{YQ&t*UF1H(P4;S{y$b}c8haoD|SA17|dn=hZt
zgAm0F1q*nSxVJOLd@pV}xoRY}>%=w&YJZKXVHL~>l`}M}f2rclt}8jeF5ljjoorDf
z=M0>CpTv2id6U>s`DKx5u;WYRfiqVkmqo_V$n}fDfAggnWy8-C=?)aFS#1#^4H~U1
zDn=S1`MzrOJ{B3kc$ldIFlPDgzb@L5;v3D)N9zdOUZ3QKb<h4VL5iRX$&cvi0$+rJ
z$^NN!7J0}ruvN+xWf^A|K3CLs*j)Y!#*MtYROsQxxurVCfO&iR7#l$XE#KlXF5R0i
z(OQhloxOalQoA5KWb$mlyUQ5SqYlpGV(vh-RF+@ah1FkUS&>C&x9l0GjQJg#<T$;P
z{_2du^4-B1=VilUw0#tsBi{QIPR<N|x1oJ(T132$bNyD@G@3fidO5<ML$@)&5cju=
z_FW3ESQTd0eQ9Vdc@{KfISmWd_zlOu0dTLdS=+?EEGgEjj7DG61s(j78~%W1Qy(#v
zWp;LXrqa3#-NV+E?LeMmp=K-$oGbaP6YRJbo6eirJ`%NK=DY;lIdL8He;P(BdFv>5
za6f##O+ypr^*Y+{=XsRmpnirC4lf*ZO0!)*2pFHA)|Q4Aru$a6V_W`UiRV?)x~rr0
zfBMX3Yoynt8~qJb1fAKgmeQlJPyCj)4C_1DCqAw+`o!rfYHiM{*7xfzJ@2rx@D~B^
z`yFj69Vf9VY7SDHt=b>k1_MpiseQ1}p6mXE{Voi|oy=WtCJ^Ix5h{v=dKT*|Ig}*A
z|BzQ6X|i3rVxB%kibyNI?gc?EW7~}9zcj6}-zLNg1sk{(A`ACCbE1))Y*W0{(=D%m
zNWY8QG#uHd`7v}UpFUa;(PX-fZIvt+T2jGShgzOAX&Fydd`P4NNVrq^>sP(AGoBa6
zbATNC;#XIy2WU%yFg`elMhK-7<~y9hecpWESi#Ow&U?k+KEXfZ{6qBV%F06dA(Np|
zWbr;C4ThZcHF__FP#87f#ib0M&7~~rO_wN7SZ&vaC`$Z$T+@WdfVF5O)VwF7w~53m
z&R_l4m@<;GgOwvp=v6?WfX^Ly!n$?czW;{$(lzIgB5Xoz`5<6&0ex)oIzKTrk)u;d
zJ6n9uWlxHQ8dnfE0v7>t^4&duhg8rM)>1pE`#$$jpzpBCrMBj|)r!cEAy1?nKRWW#
ztw~FfR5sipJx0B=s55iZ<X=*Bn+@E`wmk-~NV>6JzEzg6b!XaZkz&aKA7xD#F5L#l
z%e~C4uu=8yn0l9k+nWsdHRi2|Fhx>CsA#anOZR@#q8@E9oW=n^6H`d|Z?`i9g=nZI
zs!4ND&t1(y5NZx84ckk8|BXBfCHK^A%U6rAkl1<NWaW4W#t%@^1(Tynl0FaXp5C4w
z4z6il6hKi9qQ}-l#(*gC<@R0ooA3=9t{rynr8U6}=ri*{$3FOQ5mJTLDqys;JRWOE
z1*b6-fJh4inUf7u>L(ma35mz7@~kMn^r|_X<JDeX{MMrCCBqoItn1THH6BPHA*l(o
zi^vyxfW=3ec1gH=X6x3E|Cu8>N{%enl5D4w2Ie_Zk&rTIDZo&zB7<IPhd2jjVqj=s
zU=q2cnpX^K4i0EX00A|YDXOffsHmW@;lu|)Z{7?8#1|GyNloSCFjD;6aXzCD7(alY
zW1*tvOjz4|*KMOYcvE%SV7nj~az;TvFgiFk*5Q4=SK09Zq$jir-&Xhb_SV+2D=U?=
zRRk2-l7@jEhKY#@sBQo$Q(IF5@V={MpQDh_(D=c0A<-Uo(0nTUdBMW{KF6XTc<kIh
z^}pFIOrTQ+LY@kp>L0zm`Ai7!W8`QU+1Qkol-hkR|Mo?bYF8LMfnACErOAMkzR$aF
z#^qP96BBO_8Z`eqTfGjjIRJj5qN46)VhU0x4FfD3U<@WECjS;3JAgv0m_{FC`^Om?
zr(Z^(!#|i^T$R{>vF%F3mJ6__?MxX8Dk?QLqB&v+fZYV#hdMh~0T3r5A_Auxy!CJ6
z3KvwpnVUqFTVh%JXm9`;w6?Reb8zqj&?x{zVboqgo!#9pI5=E@bS*nO8=!4#r`N*9
zxpm_b*1Z$G02*hSFcf#;OB){_2e64zqtjcUl7ge_tq1gICckUn;$oUi?ovzGTw8XT
zP#NOiIvl&)+#m%drHiw(v&+ksX7|#P(8#u6F-kxVZHGPg(`oZQ2cVq=2Y%~7?z`1b
zSD>uyjCH>kBSdHdL-z0Azvq5eR5a#U1aoKMb#><eHaj^zEmTYml~<gUc(*gm6f2VL
z8ng&tH^40b8sVLN`4+zzV6^NPczk?(1O)}%+F-s`VO3QQmZ>)2&xbj%r0X}ky#s_I
z(6}L5^~{ofWi_+`+OOSRT^${{d^MkTu{Ta>tH|5#H-VU51K_Z>DI}^A5)vW+o>x{@
zX1<nJM^fjj{DtKv9c!(u2{#@7XKn2n0RazyX-A^yz$$>mhLS*e#3D%t?{&1?_Qc~X
zHmP$?ht~kKNHteRF;m2FDYOV3)Ts8C)PZM+2Wau#Ya{7`yc`^pot<J!^=F-c9&IxC
z3#RpyeYg#!`k+%zU8Tu~Cwi5X+h(dvw|43(I9C~<nBn2!jg5Th%$36(X;@GI+RhDp
zpYR4Cip$E%zDom;4i4@kfUy<Q1@K8f4i*q90u|(NXALDk*(hD+hZ+Dqx|2@wrlqF~
z3kfNu@nt(mF5~s1d<GJfDf^JGffnKp^WS%C$3%YJWt++JI4<7}(q)?LG9c$AnP|lV
z1t5TP4c)aYI6m03H0AXiY`zhO0;DE44@xy6WMhA)5}tU{RDYwy!;#MU{Rj_>1Bp>m
zMo7U22IQ%<Dy{HXWycPf5)<Ml!$EkcX$H#{>!d_PA1>ys^tKlSe`I(2yk6-%c%5F^
zeq#gp0Yl$~#WMf>nX22%ceXQlC!XFiGLtnN5z)~my%E%~Ytxq5nwqp8f6-mvJK&>!
z`uX$bO%j1Ref&3~Z6<A**ufJl(GfVvp#7lFl-Pbzhus2ozYDI=bz7(}+RXn<^>cOg
zSr=SCIA8*9j8en5SGhm>3#-3>aoLQpRefgh_z=}2)sjck0!UX^ryZda1r?QXK-=<@
zeZF8_d6k=-?F>WNhLlPXKWGl<C%_3;;HVV;P)t3Ej>^l=|Dsu%!KQa+x=?TR^5vHV
zI%7qYnd!L8zvK<3(i5#-n~{V`3aMIkX8ls1f~%a?BAZ-?%gf*&9?ro}sWvA%#%2PY
zHXKC2OrOe;Z?ipG*w;5Xt5XPmFi3Z5EnkUVQ9c%C_Bl0qFE2-f9q>>M-Z5Al>V?*F
zDl;C|+@rw%Na40+KShS0d{f0R0HmC+goIlA&82dv*{d+aB!Qqv=wwDe9}te3+N5yM
zX!_~Db9;7P!fXb>?UE1;94(WhLdcjEEUfjbPUxUO;5Kg}lP%PTpp+DJ14Hl|72)rl
z*QI=d&3KxkLSA=h9WC7g40LwBiGwn+oS{rfe{rNtD)7CI^b{5rw*CG>->zc_{T&h_
z!r=C)a=O5D%#v*=hOIQViiSBNM9<7ssP>o(&%^|XHh#!tXIx9LC5eHd9tzm9ydO-^
zm6v}H1$^gPI9>-z<LT**8Lj(yz1-W&^a+18hW5I1_W?TD{-n0*{?1O5<yNob<73})
zWGSDnRU!@%5kK(Gz0OOzgf$5A_6BX7!Drdn$Hj7Nc>2P(w2CE)O7&Qn71iJIFi88B
zI{X(yF%Zhjy$cGSRH~s!kis{W?ZbOUQ^0aRemZ(*KDB_K@!!gTOin8$<9)y$0$LB~
zcV~Sri>z^Z3i5iQ#8etvc;O%+p%fdNhuTaV_qyt^ex^VK1WiK1)TMS|ySpm^?cW4&
zaMvG^lxAjN&-CdElgw-Ka(<k3Bwbp0Xjxfp-`sd#-AQ_MrchdN=t@Wgm6qDF{VFV6
z$hJj#iSwh*mi0~2SD+Mtfoy*hY;EaH&$O$lT5e%OVxFG--a9)3U}2P(apkM@Kmn^J
zGa+by0|VW68sK41x{%KNAF@&4D+MSS7~V@zp+Etnf3jG=Cjmxs9e~np%2*RNRWlYA
z>_i~T{q^;q9^BphnfgMGMp`=L7);*;y4vy6_wVnX`^mL=xi*G`5J8>m&#=f}&-_ke
zVoMWBwy>lX7Yz%Y0km<#V5MMAb~dxR`mtljH6VKBX+p|b{CmQ`E*k8W>vx}>Tg1h+
zulN5}O8&7I9g-^(9r5{dXqy%}jBVubix)3SOG><(Jl!{ks<1@pkuhg>(rKlrCqO<K
zu)Gw7&nKCSTtI7JKf=}7uc3YU(*5*GmGl)mI}o%w5f#5MQH=fc=~F>LIudjgt`NHa
z%Sp*Fii}^4G*jlsA?!^c!5#kvMY2NQnv-{JO4?7JyUnCH*udqb7D-&(Lm!1oBLhQ2
zAe08YZswZn)$(xb^i!NHmM15O3<<SAc*dyt{jFqIf#NkPf_2M#1I|}GJbn*%O;4;d
z;<uAnfIUfeFVl3dVdKaLc2mK_O3*NRw~LhnVGACi?aJ2(wo;!uN|Z^0G8CK~{_h&!
z8%GZh;oc&n7Qll9#WxTrfQV77aZ4)~tSI50n&oTqI+g_pri^oQ4XxML{{XB2L~oF)
zhdaMe{u~(rJPK&H5#be=RqL7f+&)w2g4W!c_!|xo*%US_648HGeFC3kG+wytXIq%;
zRfk#ru&g~=={WlH$JEM78%TGIj6@ulh0M&>m$xbLY*tLlLgqN^=GnpLeZg2h5#F@l
zfpT{fgu)#wb@g9>|Hx9dfrr?WM*;!@VA$=UH9VK1jQM8LSdy+UltAJlBNN(Oz7wpN
z$}_jH0BWpX)?C7EB3Pv$4+CAiFm@;g8R$MPU{c!QU&Dc2fO?TJad`9MXe~^E_5}`7
zp7_YmpDQ$6V)pij!6>*I)?<_^$r}7N=k)(MsRUX@n|JSa6DXg-H+i2k#`M?L*8}l9
zD4{?-k!?e#iVg2|aiFWH7+qd|2zYSk#&(vOC%U8JCnY|IG{BEIQ<4FWBErr+j0%0@
zdZ#8XzVatnMn;B*n;XbF96<B{Bnr^vr<Xhv#};pJ<2=W~#Wl0E<N<PV%&=P9->g7^
z?Q_~_z)BHAmvCDP7v5}b!qrKf{t(EG1=!6y;0L&TxW55edShb)FyT32o<hqDEvJNd
zKq2s?EFZH6%5w5_&S;q@>GKWd5U80z9pMT%u9t7Vo=yG$s)DDXPWr?RZwdR$J}|Yp
zeEc=gERaNhO-y{5H0(3C-RgT=pP89?63rrzE@CnCMM?eUzg`#JG&rB8>SJuItdip5
zCVa##t*nk_t8<@kmc-=<N}u{=7CJC}$0>8yg@K;f;`^3o;Bt+OjCQPmN*ovjeulzL
zI_z=<q)Achwt2hT*_E9{WoN%V%47mcDxjCXIFiX?1waIu*ac~s7a)=Mrb|U{c5<JH
z@ozZd*x4%9j*m9)Gn5Jw<Y-8uFIKxg0u9`s<Hsg_;E#}%mGwv<1#0h|+?aWHT@?5r
zpaf4{*niMBG)!-4@nPFnGcag%T9Y^=5#zx92J_r@PF?*;8iJ0DJTN*+@JUM8fjppl
zZE<PIONasjHS$Wk@5109N=&~iU)p;xH?OXrUgy(9uz}ckczFgWDh37y`uexMgvMtl
zC%2bJM+*&=l_4cbli$<;zX8^he%E}3EB(rc(`Xg?gP+T;)6>&Hh@L-T4O|vOUl^Xu
z8-R=l6+zWo##EXw!<!y|7oQ=+!@~ytv}7}Eb{mMLYHL!V!C^6K)nQD;9RD>DC`P4z
zKzH~kbAyo)-Ze2!8K4M?Ycfzb{3=woT~D!l31omkk^&48str`WS&aD+eu*NSE(Ks>
zYJK0DSpZtVy{Te#AffVU5-&xh#`(l*+#dD5urB;c_!z(oATSYpob&6A5q<FdyU5>U
zu<WW9y#YAWmiLE~6}x0^e)z0!eR0{Dz?7*sAB?yCT~WLc`v3@LGcz+l*;Y76-t?Uc
zj!9mI{+L)#4cM%|-7U;CH8ZPo#(gmMyWRw|aek8m24WB`=tS6bME;5(Pn!T1@C}gO
zS!?%mQ&DwIO=;}s>;u9Rf*L7SF}iBNVrJ4RBNF-0NZ@WTXLkVv0L9XXO!5M;T<4t{
zVEvw(7{o#WPkM%~k4S+3UkW{oGGGNa@D>P2zVBNwL1JjNA;duJ&10|>YArlVNE0Xb
z;bdb_S@gbV(`DNJjmN;|$&;dOxm9;xpcD#NJZ*X#*1hUBnwpEtB9}Yiu+rXUF-)L1
zvoTj|#eg@&yYe9yTq+Q^Mz4?`wP!V;xlt`;;R3?|kV8nz$oQQM(xns+78Ml%`V`0^
zttS}yUlxa{gK>!;pm{<SK`Q_S0Kugl_{v{*c?PU85fMPi>UZ@oo2TTNdkn6~uNoGA
zE&{s>i^EW`-a%snG@v#Tc-U@>);2aJ`Cv+d4i$oe4<=_`Mx=ydddYps%E|&t!%Dq6
zMov!kwy%Jz23P0?<gfFkGBC2SUL3g1viLc!6gVN>Yr&zRdb+yyOU;@rj=|=ZmVXx-
z*aQUhNVhc-7j^u)-78ARP9Bb&P~L@&ddcB2CW2OZe|^2yVX0Z%Pik<}C5DXO<#3*x
zC$)Uq#(cXr*;(O=wZ>*b6|0y=RMdYk{v}|1!ELLmucsKV*>Lf4aXDG*4*PEcT#e<h
zAP4lbD}8r7+dX9cpV(K^7$^R8pd_xYuO}oW5#r<5x$kQ!D~|z=8!MPul_3Mjbim9N
zqEOz~iuMThOH?|~k>D;NGrWv_ZO);qp)pmM>9@DK3fOfuZEfwuC>AhLKpO?ZA~iMj
zOu4>n?!>Z?a@~u~HyykW53U#6?DJ_ufkAgz9LdZtUaSwqy#U%j9l(bJ`wXyD%&%MO
z9>xxDG82?$Wvzk}2PP^YC^KkqAV+M?i6<R)<Wq7YYw${I#^|C{iB0d`K3!j52L=|$
z#YXXL6(J!Zkn`VhrGTawxNjD$zPU8DR#!iRI!)L;g^Yj`%D`YTPd;JU@AeP@jliV)
zWqtleX1uK6bNhjLNV@_P{)tjI=K#86QWBEC%WX^vgTT1NN2as@-__LxCKa&k{QdhE
zmrlve$!UBKCDkGJB)?yVOh2g}v;C4!?0@s?rYeEy(}9Q=0+ekpfn+}5#lMxEN(ad*
zbO54jBl88NGC8oewqj$FBjL?9#%8Dv;B6PC8~Zu(e;9o=4nTNsTEJ)P(f_olj|5jM
z0uXYFfsVAXD63F%O!WpT0T^%`K_CTr62<s6l7QnN%?`z~0=)qchv)+KoJ;_d1ne~`
zPUrFiGpq}L<0A^##TBSCHmb+r+CK;lfNv3iSz@3A#I`$Wjw|?cKB0;&o1@qT2su`z
zMptwH5D+#*a8h$lVir<G@ETIzp7p3Fewz~2(0QgANGS)nxF|DX#*tdUwgtSf_9+0P
z2>|;yj%<esBme_n4iUm9DX1;di3K3F;(;O=EV+~CV(P{V8v^`0%`C>!o4^vr90?~r
zvffYBgrywu+C$0=G`YV?$+Yt|?%Vzz0Rch#UvGnlqO|VSvoy>}+&28YU^=gh+giYU
zLy&VRk>+qWIaWxtgvEdS9;rrLapi(u#DuDpP5xU1cbc&$>JeGu0b9xE`UEL-5asDq
zsV^}=!uuT}Uy|UsK92Z)EWwbI#^ygc>-hza3TzLc6=HJR)CSx$pxh^83VvJsJ};m&
zB0m~DraNOg+iu9nwE}$HvCkjdj2R#tN&sK+h0R`DfHP1&RYCoU#`f5569jzs`qsX0
z^L#Q41a95q&af<MGAtB(DvQau+n3XqcN8!6GY2>n<UK*V4YWVg(%LUhsK>*|{%ARG
z4UXKsxdz0iHE%ZH)eoKKBmIp*>sQwb^1k&0xVD1(G+LWyiK2{03o$UeVvY#9XC86e
zf*DPOE-=stA8lbQ9Mp+>`~lNA*%EkIXgC;lA}P@bBR}&?`C}_O=XkQ6z9&1na_X1l
zQm*u91!yYpeHwAKH9o>B^1JP+oM5|j%EII>AKITO|1S<)-Ci0nxWGR%HY(%_@E1r<
zI4$CVd;9<3rT<n_sz&YriB7Io49P27DM09hj*Py0%~_Ex#irKQcjXkH3pww{MNruj
z)m<wsik2Gu!t(RCv!8hfwR7K9NW5!uiR*Oh0Nq-~^|eYqoFwXZHyp(Le~{bhBo@@V
zQ$h5Al=s!T3fJ$wPC9{s5*ZTf&Fms`BViz5?MWR@osf`i6MRjjt{}*6zcZEHcGpH}
zII(bP4RCh$^=~`IZ#DH2)njp?&dKS?$)9S;q56Z|b-agXCt6yzfSUB`7=wdW<vph)
zbG!uL1t16v!L4(p*)ISj2WG-EVgb4iBMPyl`aMoYUg9)KBR6)~t+I0bAB9~Drysm!
z;p<Yee!?qL%Tqne@X)y0a*%fn5P0l!&UBO*=0f7Jf6*AD8D6RnT3`)_Blg5PN<fg5
zWR6dx&yV)tf39m#z^<sGqc&GV{2S+-Rpd%W2kW=if_*$MILvO8e_@Om+jC4#paZ6y
zBTk_QKdyYRyi5y#-WI>ACv`7iF0wv4!b5mQY~RW4ZOtvFE-p{>_X#@$Dey&^(l;As
zuoTN;8S^BHMWj1;53zPLM53r{Ic&#8E1wK8Y_?CbOZyPjOnv3^8)Xwo=hCZbq>9-O
zjr=$KmmextnzcJ#GJV{{JAj8w`d%IO&m{?e*c=C4&j~iiJVQK+1-!6?t5>Z=2~c_T
zmT!C&wOir-qvev&{$}qghPYqDUK)Zli#354YsYF^e)Oi`27-j1Iht5PkjbLCC)=@%
z>wW<xcxT;q{kT4C*pBdRtqNl-EEF6q0T&^@Fo!1<m_-4)*eI(>+Fv#twqIz4uU8VB
zpGUvg!9}ek%%KzH&SfpcY@4gI-I%wkyI4QqRJJhkx_u4Ac-i^cHO!kwAp>#oJ})yO
zg%%!+{ug5pG#USkK{vCNyn%lUERJmoKuBUtX2@(q0B9dF#4yS2#!=^K&IxteEaTjT
zn>jUM<3|SLH0OzTISJYMRDj#inHnfx)hf^c><@##2@pIyG#YdgAg2cZkjc(3ec2la
zBqGDbxOL$Q2MY8`ctR+Sn+}PMqR!y%I(r%bE|DkKj@gi9Va}4bZxmSNmPAkAZjoDA
zEay=}0bsr45X4F3WEtmIzR{KCqJf2?%A$szC-ElnG_dPSybsCpD@zSxHe@zl^rtdG
z<8xCwPp~PZq$9)ZXElK%bHaSD^;Mrh|Eo7We)Jjbf4KIVUSu>#tZxEc=vii?Xf<Vt
ziCvG5Mp$}EwpH2Xp9i!ispTP?&FRyD8S}HhfIHR7*T}#7R+C&k7j83E&s;)Rx1$tS
zB(HJiG12&Qy=<{u#Ro8`nCac4W=!U&M#7G>-`~<m;`|Tk{-uFV?onJrT-sC`Bmw`9
z#|8x&b@|XkY%WwKqzoBsDaJ1k0yo+y${g7Flx?L0$)BvomscsOtO7=e$WB-{$!qv~
ztWKwa+>5(pE^_dH2zV@Uf3ZL2Rg*gKzOeVGZP`UscVqto(WGb1q+dTUJgW-_7P`b!
zdcD_Rp@Gz8-ye;wC??3$<b5}72A1>RwG{kZZ6DsIAX{fH0+!kGSi{Z=g^FNam&B}C
zh9{*X6ks!@@Leo+W_iXIXQpTYm6>uCc~n{OsCxVbNUTLNKc&#%QB+Y_M!s^ckHP!n
zqkCvhn`cqF2gUopW*uv4<?&+qu%Oc&2&8nV$<({IdEhkIbrQ88gijWEAKqzr;z1_1
z(^`DiQ>d#k!Md~82WBrmH?cVBpPS%o<kmyNG(27|ck;l17g@;``cdW(aP78o*ONfq
zqTl(fQ<HBV`C!ll^?T|bUzamT>{%pr&vvL@1-bCJYaTEH630CiZkG-S`m#diaOx-{
z_M}5<i{~-%^4{mhGH@tc00j)!<H!f1bX2(h7Xnk@Ap*-!&jk<@w|NEodA09^6bSud
zj6VoDRpyB!;?m2NOYIVMgMwq}p&H2VFS5yAN%V&cXHnLngeW|_)n&eCB>zlQjhYts
ziv-*O{y(1ZP*t4`lg10JKngW9>$mlbzK^V#KaG>>N24qY99${kkn!?lKnbaiRcM(p
z5}d#*0DDklLk|Y)(dD7~Sw93l@3<l=QI!p#P{S>LUEJKTOEDdZdRx?th?i%XO~yLP
z{|c#{KmVikPJ7w^V~^Eqb}bvt$qt%A)u>Z-Sx6=Y{iBn6BP*Q0k303|8{CVR9~|$5
z|7+|sH$_yU1u)4ZOOU3R`i?$hEs@^5JbKdziy3rMaA_7IL51^4!!+Xa_zaWZ;H}F+
zef6x$i_9@X)DYpqk8Z=HUIV~14jQPr(NR`P%GL6QWwk^_D4?v285b896wdftbNF;h
zX=2#sz>CgD#wsYdFgfW0ykT&vDuR{tYT;Vt`uNz`fX?~1<grp*MOm#wMo!)a8f&m8
z1~42KDy7#{RTWiKj1CVAdj4AlV9R(VV!3^FcWO_~>BYt9$Ozzd9)V9y1Dm80BO@aN
zXq#2-GYnt3ZYfyU0>q-Qsi`T6@Ipky+|}#!+~POZ9NAFImqK)hC)X8)fSWb&>;Omp
zZp@OQ>-nB0==`U_Ny7%3++G}_hQJC7x$k|cu69;cedaxTR6nhI!!|&toB=%Fl*l-w
zqzk}WEszk~+$;cf0t^MH8hM|{1Mr=|G!CTszRgv<L1hXRLZXL4jM7aS6+&zTkpL9~
zYS#DfF8~B{Yv<M=B_&m6(4<!9^<G**VPrg8^7Q0nT(Vk6fd;4JW{>HtYQ?^^w)Jn#
z>wGnw;?u4u05$&lWt&<992$4mr@+*Hetr%Br^(+(tg&?}^jutAc0L8AHB!{il7@jS
zyg;oOSWAXC)#$%a7~GLcQpd@BCY#&Uc4;Du>0fs`{FvhbFOJ=0phVMdqa323N}_*b
zy$z_ivw_`i$*=~+!8IoeVQ&D}Sy@`j&?W%Vvw2LHnE>!4Zkk&9z)=F)G0=bb9JOg1
z8#`K9NK>NAAsfB~T?H^yUO$Fe(cs7%8+X*#YkAFTE=UM$PUk6^n{SMXKDIiq%bck&
z69B<+ZiWqzivy3Gz0XfDENsAmusMVekV-JBKrrl{cndr^JPwPVe|kOv-F&8?2d1#s
z{muD`|D*5x_jjh%M8dA%nFRpefrU6YIiL0i4IVHQ7&N=>f`*H+!hujjTN{vsTfo@_
z?u`9d3^C^xaAWRn{Qv>0M6KlH<OGvk;5&FCLu;#$+o)yJ^hx@HN4xLwq1WRGDYu8l
zLIh}mfj^N<@O_j_E`U@RUcIU=9Ra?OCuGU7{d(((QLMMq1=c4h%U;)-Lm>SD_%Gog
zASu5--Hss_ytun|4HR=a{v*wkdQbavk`#C>fWI%Xgo%LxaGehi4@2;Vbu4+V*ziq&
z8T;_zgOL%K)ENr2lGrp141>U5L>)(o3|i$nparjUEpusF93N-r=B^{%ZUKa)*XdR^
zaYU~vXs|OgjkUEsRy$$f#lb@t;u8`kz5rN9RyhYiPwBujQQ4j`w%y={rkDPi*|;5O
zs@DOG3#=fZAq3EimftymqR2%3?nLveuEXpw0Z0D=xd!Rr)93I9+Xv$#R!>6lSpHvI
zWh5OoShKhtydpGw8-OL21_>?kGYR(|n3{*E7-(p>54T4x#h3|$ZmzCx<mAM#04dSv
zd29+VUT-%SL^%NViQbB#9Pn82<u&U=-wXk`6)}go92-fQ@V!GP_)v`ncs|CH&*-4Q
zo+@1e9{OHi-wr7DFidh1VQ;SaZg~X-;9iyTNd)9|v;U)?AaT;yuc#pspyRJ_%lP)~
z3IrGMR1YpmVPRn=rcz+N<mGL^Amsr##mV)DvwB9*4y&uHf@e;6UY|Unj4CQB#z)Nh
z^>*(Z9RAXFePK`sZNET9OjOkO8eqOrq5lG)V*tal($MsbjG#kKtDS-GKSdYGJo9?S
z`*j6Ke87`EKr@%6F8+(O;Q4bep$hiD+xDUznOE(w^cfFVZYvG9pc1BjMNR#qyF1rV
z<iC;Ox4bhI#vOhDO9Jaz0xLZ&4S;3Zs;brCp&!K>z_?g=FiJy98yXx;&jwiSzq0#*
zyw+kbiHV7M9hajbBh@kAHow!C+osRoJv#C~+fh9`1tHMma6ZKE>+5_F(QFIX0eI{#
z8p8|Xq;9Px0~S7NNOm^W|JA{{M?;;4ar~EN%WNCYqS)9*E+N_wt0~u{T#|Jwg;BaJ
zZRI-KDk@83Dr|<u$!*rXq$rayq(VC`DKXSAN)tlV?2x9-+V3=f&N*|=`+I-y^E~f7
z-{<qCl2a*s&anY#;f(k$KA(aesZg`I#AKRTSg<-q_`&R49VZn%3ky|3MO#}muOC_Q
z`8A()>R$e>`$y)^+APF>e%C5qdA+jo$zG%isM+Ks$Bh!$klYhXgh4~Sy(GfW)O5;t
zp=?(HLe$(m<4F9+;iYh(n2CyxzRl%snz(^9#bmk+RJG$U%29)$zQ82lT_h4oZN&<X
z&GR&lAR;J52P_DNBE}vUq`3k`@|77H>FS1{1v+&wz|-^P$cP}N%fj5;aqHGhhKq}f
zBO8#AicJG}A?n*j1h#Jp2^yOrB4Vw3_SwJh(5eeP4UsR{T68*~UM6oF+cUah0^HqJ
zhLUf5Qr8WfH@deaLF6aX=EG}c;Ze3%nqIz5xY@j4vPptL1m~ld)6>miPs8ciaL}AP
zH3AZl&rfzPipe|!sR0dc_^)IhIdI^BkTZn1=>E@*PUrX-Yr~D@Q|1o6_V)I$F&*d-
z@@8>iY3V4~jzD!`(-NN`dGr)eW4@kRc5{!(lNa(0Xe%r(PK51=HdT#)Q;0w)oRB+?
zsH>`CDf#rQ?(yhD2_6nAq({p~@b;IjFnKSPE+&#&U%{*da~ef7wg{y?0#g@=0SLo8
z^S5Xcp5ET9?Cd%;ya@ZaxHu$eAm#FWh<Gy26jry)PWJz3WknBpiti!A4^Hb9Jf=0q
z)_N^~zCssDR`z1~o8#qPcV}dIV@)ZtDXv6%XJuo3D~K_}Rb^MNUJX%B@hCeL8%u8(
zH*`=*bS^SF@++`Dya;b^@64<p{A)<_x!Ku3&40GBX_VK3!8)^b>n_?;3a7L*HIWcU
z@dW6N)3}j`?k9W&S&kYt+KKL|SlrV#*)@OEJ|hpEJyE@&zkek`$?AZnI}1~j54>YB
zIlB|IsL_TAlt^x_J*Bv`G<}C2H$aI9{^D1oy%7B-`V*c^m<I!#A{MJBixy8N_S_71
z2n{ug{SR@0IRn)6H*93%iV7oYC%>(YnU+RFx{r*k;qf*Tg}9}F@gu@t^Dm?O%g#dS
zX%mTTtgWprE!8b6b=&<1Z6&}^gPP*C=S{G>{4Fx{vyD&aL*fXJh>(4jKIYZuIvL1J
z<}_{NK8h{VeriT>rPHm9$;3TykRTw1)5g@iq3Sd8*C*c!VDOCQN4cA%$fN2^CjhCA
z?C{wM0oueq9)VsJKDTG#RD(Zvn=$xv&K`q8iwL=`4nukEw@gS7_yI|QT~i~Uxq+!q
z2vB~+AjVTb<|9BEsWIcU#R|k4U0s~di(fuTj>9O?fdK*byN)dz&j1XD9`)$!*PtPb
z0I#I2{#Pb5QoFFrR#q&s#B`Orf!(POl_Ht|X$_<m#(hEwBCA8hjVi0HwNzrTTuac*
zFS*=38SD;Y8$O?p0}BEOOEWVwLpsJ4tywI|S|5l(EHJZqwsF*}?u5O+|8tP`L3{Ux
z9Xb^As)a1Da)5sj)(vs)XjmAEC$e@%6<GbmjuEVHCYyY*RS5DCO<6_KgLHj2I#dbJ
z{UnFOP?^Je%jwKA_neyW;RkdU6(Z8z`1x254<+GBTq~xL?$L+cW74<pM5BPSP{3kE
zeSANRITzS1z_{nFhzImA9Fm!jvD}mk(<0ER4OA2-`)_RTvCz0=x{uS+(n1hJxUsBW
zT>wp_ZeePcRs-BPReNB1y{4-4%+w$|^}z-W;^i{Ej+S(NMYXB~wWOT0ODQ>eV)DI^
z4V_X#!{mx^@Nn3Ay^nq8p5+%V`9`C~QK;(1*B?w72n>BzQt;wMi3@LLVPQ6IgGPgT
z*Y$sDX}OzOdZD#@6_jgQ|LhnsbsM%$y&VyCP2hU6^YAUB>&nci>EH4v>vN?&<0Kum
z0l$)D-zu(_PVezMW)C^X>_UI9>wh;#*4eM&<vJ$i;-~$SzCPvi@n^O`dnpZ7AilSw
zC_b$7yLP>Qa^p_1_3@40Jw5N&Zd^^dWwI*8*+B&^7Vnhi9tZpPjh!xXXEZwmcmG1o
zqw_=_WfnQ^POYEGmn3waub|1*P-0hH8Y-5YyffgSc&c$oIy4?bNjxs=Y=Rtje!q(2
z;afT7*~)?Iv!t?0zYyPyyWR{lzdvs5zTlE?^YGb$>i2PW7yfE6U^iIDv<d9C8(~TH
fRoBuE>YpaooXZxExTI`>=?USo&BLk6F*xCWPYIIe

diff --git a/tutorial/figures/wf_3.tikz b/tutorial/figures/wf_3.tikz
deleted file mode 100644
index ec37ac0499..0000000000
--- a/tutorial/figures/wf_3.tikz
+++ /dev/null
@@ -1,25 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (0, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_black}] (9) at (0, 1.8) {{\small $wf.x=3$}};
-		\node [style=none] (10) at (-2, -10) {};
-		\node [style=none] (11) at (2, -10) {};
-		\node [style=none] (12) at (0, -10.5) {{\small $wf.out_s=5;~wf.out_p=25$}};
-		\node [style=none] (13) at (0, 0) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (14) at (0, -9) {\tiny \textcolor{violet}{$wf.out_p=wf.power.lzout.out$}};
-		\node [style={nd_black}] (15) at (0, -7) {\small \textcolor{blue}{power} \\ \small $a=5$};
-		\node [style=none] (16) at (0, -4.5) {\tiny \textcolor{violet}{$a=wf.sum.lzout.out$}};
-		\node [style=none] (17) at (4, -5.5) {\tiny \textcolor{violet}{$wf.out_s = wf.sum.lzout.out$}};
-		\node [style=none] (18) at (0, 1.5) {};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (0) to (15);
-		\draw [style={edge_lzinout}] (15) to (12.center);
-		\draw [style={edge_lzinout}, bend left=60, looseness=1.50] (0) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_4.png b/tutorial/figures/wf_4.png
deleted file mode 100644
index 3f982bc17098cd7fd465181d6293e9cadcf39c5b..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 20704
zcmbTebx>VV^DTIhV8MgCOVHrK2@b(SaCaxTYw+OiPH=Z81PJc#!8O4hX6O6nH}ziC
zoB3mI6%}&tx#w)@?%loCYQhxdB~g$FkRT8UinNrNG6VvJ4}Q!Lpus!Dnx$vpA4Gd8
z4Mzy%^_zb`P>{3?JP3pgA}uEJ$t~kJ(_Q<`{L+BJ2L$rt2UHPQlQ*u~!b)G(T}%5K
zG_Ot?BGf!Pu3NP<E5to@G%K*h=~acXCS|Zi0)EjvP(*ws#)L+UL9ZQs7;sY&OQQOS
zv*9K5C_-bF<-YsT$8n6`am>*kApn8^%chS|>LSe4y=h<SBI4fN_C3H)(_<hI9_`af
z0GoQFb!w>&UhRhJ2?Ul+%uh2wxEjh55xNJinEIQAg~g^l&)fI)ige|bl||DBtgShi
z`o~bRKYsj>qEc2?p4!XymCsd7aNn=5uP-fqOG``3n@NI;+vNI37aktogcss}f@xac
z*x3K`C!=P)l$x5FmX=m(2u_%oTBSBVr{zrZm#y9LY&&CPr{_m^a6MGD&X1UkjEq=H
z$vCNkH?;C}FZ+#+jhUI5`!8^Ca2y13cY?@{IZ5|<`T6++IKcy3V35*lf6wn8cXxNy
zs&qBf)j2pgQqs~e5d_p2lZUC}2O$tx5jTF4&!fq~!Tpo@l9MkOu!Ezcne1k$G)d%B
zFby*d@7}$Gh2ESkQyYjPhJkQ!a%Kv8-(Ma~L;S`CAFQA5uN?Qr#AR#M%fZZ#kB=AY
z%y4mV<WpFCy1R4IIR&$QAFgfK+3V)3^n9Q1_P%`ivb41HA=kby9D7x!v8l<iWo51X
z$EH0E4UL-@TBf65ww{*O!{5!`us5`odR;zbd#JH6#f4e)^z=2=)zwW+T^?7ZigZ-y
z2nPoTaeCEVT|()jNmyLm+}XU&hj$ly$;>*Iwzg~eJ(AHR6`Bo0U>HS3yW4~DA|fKV
z%-Z|=`?rd+h=_=@v$Ni}jfQ<l3=CyxO?B$!!NG9g*V59``+E;ULc+x{d^XmcBo7HK
zt>wNxY6=R&$J;aW5GHPJ*O8QW`%OjzQ8spVe>9&@mYeSH?>i6?MbI4`9qVgKOG@zh
zTp0a@)$2?nv$EDgf|40ED6+@FCKSW?KAsKu!@x6ZH|rZ4Q)SbK5_R+FjxQ`OLP4^G
zd{6iG;Gb{MDJGRwRcH4n^V^bGn3$YhTuw&`P(#wWYzQEJy_;BAShu&g5Qw#njnFaD
zkfedZW{Jvos+tfCN{RZ0hMk=q14AMT>S~?CL|`6=hnB9ct`K2SQBhCNhhMRjlU15p
zTF%bSZ8)b|vP7t~U_OU4C15eZB=*y@Gct(&El7H8XlQ6$T-@5nP5b82bZ%gquB*4Z
zqv_${NP^i_g@vym`ZekhKU)*Ba5&2nHDDK<92`zgP7sKRi3u#UzZ4ZT#KFOVUqGM@
zo0)+jozv>`Jd-uo!@QpF(|&$*c|}FGfF}+qsgU#G%+!?fOpYR*7ci!|3N0c2(=<*i
zV`t~3dJ85dCQSD(uRDkH?Lo{P(FB+o<*FE|f=oWw;Gm$zg@u^GZRex8)pqyk?(S}2
zfWyOOR??^;y~b<;{QRx9)^>K|z?!-3vKks1l9O@c2fhAo^wgRR1D`xyX%VHuoUhc0
zNG!v_!KpJHZS{WOO8sbSVe!S@excd`=5s%}azLO_69mFTB;R=_Yu+8%qtEYk`xjWJ
z`a_Vwa1v9Xnzl%{i-j;OJp9A$E%4?auKDPA1BB>nYikgQoZRTa^!KtQ+|Y3UlPN#-
zE+2savfj5kum#-uZ5)a@F=TX#vgin0!b~D$3y=m_e|?x4OxOUFzdB5iUPd2CRdayf
z2_}e(Dazs%t^B)eG%mLH>sW|lFx<1)s%qCUuPhOb_T4Y}tWK>xS}it;j*FI4TT-dL
z(>d%_(5WE}U#Yd>xSe#(^|i?szkLhqaW~sjrB*G}k?Q?PAeJl4WDu-Q*U7(o-Wuw>
zn<X$_nFzxVMT$-w<Mg(Kx1~zs2;CWCiAebK!`Vqt6YXi1Irl26)^HkcTAQQmx`tzj
zxRHSsegKoA>_W_?O<ZdF;z%z$wn2uqgf4E)>C%jqwnWuk7};BROGKC{<^u5KQ9eF}
zFCo?GwoS)Nwdv2?eIIImM?vEwh(12W`BC0}zR^<ke0R$eK%~_0Ixw2Nl3KhsuclJ2
zqmj>*`?G(WPuL2&1@F=)kxc1d!hYWTcbja@^F_M7tkBFT40e@Yl^m{MEv4nbc;#Nw
z7bLn1p(F-paf+$kg(){G%XHpF`^mz5iz}m5lsyLn#$5bX{v!kjk6KMMC&?Ht(yyw$
zMY+MYo35o5s)34dc5qhudmMBg%wO19wag0&v-#P|Cfv1P2W9wAFM)Vs)#l}3-H*ps
zD@yW9EcMpjUHtu6i;o{gtp=ZyRPYMiE<*kL2tqSQj?#HMYjbH(xW8r`5(jkW@e*4i
z?CCvRWZb|>M4*zxEOf(+P#i+@MV_u&kP=fI-FxJt67=H2XC-%7ZGs89yPbE*xf!2c
z%_s{MOaJE`_w8UQyg3y_MOp9M&lvU=_PX2Ff2@2xH*Hk;*og3ngfJ3wg2DU34|!n&
zZ&XiyRl``8n9Xp3Wg;ZC1Ix4n0z1qh5mYi9KU5d5HRrcD2K?ee62%KJ+?df{V0&M7
zF9?y3=uwIbPpL>0KE3?+gXQ97{RC|bVWtjAUG+8nFhAMARi`#!RXubq4t|>V>4)2g
z&E8)E>A;h+2>A^XwBI9Vl8!>aJ_Wu5@3G2M66GX8Ab!Iec?S{jMqoDJeu%<MP&JA~
zE#wYsi|&CO|Gf@2C#f4)-HG>!0JmG|5=I|%{&u)2omEK_M_TCqpObx+pXj0B`5a0P
z7H?6eC`CWZF3#5(35K~}Y{)g8s7kB$p!V#ufNiz&YCr2;4YA~1?#$nw`lLyUJS!6)
zM_yJ~ex#AF7KL;Eb+u9JTMg?C>%gYHIjooS!XX;v1}8mdYM1fbVHJ~U$%OWGnWNt0
ziAoL&#m1xr$D`jI4hWiGV_!?ORyqE;R&|zXsAytJ?s*#BYg#+^Tb6IgY_`h#DEaBq
z-N34AfX=-uajr>@vz&ukRB^ZG+;@Dy>i6*05YvF>XKGcZJCm@a&ZKQEQ$%)dj;04e
z9@eLBr#xn*+T8pW%9oqR@ICA!iaE|?E?h}mg=L`=;8<WE><M@vkfyM7FJ285$-3h&
zsl&?2w%4WcWupQkEYU6Pk*$%|5<d4=DiRohza=M|W+i<^50a;>RIJRhGb-%9uWL?g
z66t7Pl=hp1z4jL?maok6G_5S(;}jP2QkrU#-X+-`!K7JC;5XR&deeD=1%k@g(6$#k
z0cie_mC;t)!R8F5r&<sB2_gZ)j*x7@m0Pzh_kjy4n7Et0HQ{iXBZBRbme}|g$<8My
zPv|gK=k-rHK8ZyH)jIiYb_9-u7_cpe-VJpPb?=&#7;%OTzG@5|Tc5NGUhoEx(f81|
zG&y3xO5eRJv`S4j)7yQ@n%_F*HeGK9pSLEfGwwEBSWR0+<b_Yz@h$T%svZ+M+B!A5
zP#{cQ7L_y<T_vA&g~H}VB}Ea|+0mW0dr&^7-;R`}A_NpXC#1beqs+#*Y_}cj7&JON
ztUDw<cJm{Xa*?{WsGC-ud0YQcFOh3cLef!E&8niIqN=I`$Np8Q=I1mSMawoSoUpqS
zFO)nurDz2E9IY3vA(uh7f-j5NCRjp9kQ}ZCm(zn5a4a^}-;a1C_xY}C_d&nYeS-!O
z{wbv+vAV!yB*~122mu+ViNX-_F^U8ep=$bPEB3|UVp-!P)<{W$rn$znC@#(~?*`Gv
zZ<daOXg7vQl3N(RSiH4lbLKp;tXsbzAmc3IG}pSkK3EpV#d){RDkqUD)ro!nb%xBc
z>jYENKNN40ZK71J!uhW=1OgV~h2geq*oZmbd(}2Em<$0OCIb!?gEI42-u4Zy2)d1t
z4Fn<(J!W9vZ$qf|RJ&xGmPzn$x>-rLHjl|>x=RlWz(MH3-$Em>-niKXA-utj*Pu0(
zHX3rOw>Ze3$}6Vu)_VH=(8p`ao3HlmR5NGCCZeXUW_xR^BYG146qi;P-8l?L7iZs&
z;^oH6_6@fXzup3Q#><vhJ!^E|^wf0T-n5)#Iy5B3F6H!ST|fwdFKBdUbbtJV;eV#9
zBA9)CeV_%LLR5B3ZX|tjc%4rLI&8yrM1g=W%~;NecI&riA9Q6-OM44P<BVl{BGuN=
zT5ZSb+X}Mwe}nl$uIC2>29PM7xYZa51DP?IQSB->O=6p7E|7b+X46z(eJe+e+|V!*
z*D2?awwFMfCG;ocltFhlXvaivd<_`4B0+07BE}J=I!Dr~6W<`pD++kg6Scy^DpeA-
z(+9hC+vSH)Khb0FlQ0i47i_KBC}i7U&9)gzZMd6ncd1X8PomEIhutC<7E2FHXz}D^
z;rjdQ1+R$wsh}$@^=5EEAU-?m&-;}(C0ST{ZBotlvw;dHyjSfj+R3{Ob${9oZh_TH
z{RbGHByGXq=A=`bR&JtxKciQR-`WLC_(o)zNkuheL9}l{X7+-_Ac}^Q6Hw#Y!-8AI
zyfbe2bYEQG^ll@jvnJhk&+`|zmpIQzGsPQG_9(SX?MNCszcaWNY5uH*Pb>A{IA}Dr
z;7Hr{MG6Y2_%h1|+whgfZXv67HO8>mQV;GOOmv(hPeyrpIY^?CS@b&H&H{S$ArKr!
zbu#*xtgJC(w$YIh(~*?T!$V$^AuJ&wA!1@;YkA=VI_ZD;CLdp0eLV*kS7T02PI2*m
zFI#74XBJ44*Vg3a<v~)NSSA08s7Ha)R};4e748%+3Zy7(n?o5n@7W5g3n$G%A<^Y|
z!<;FfE#&(Q^4XJ<ldG#MX)5LD9d~|RD=RBiRaFfQ4Nc87koGS%Sk0GfY#qG+MIjMB
ztE{WL22w`~O3DML`+AFMZSd03X{fJ9Mn)E7{P=yEkC)e+LsME>T1F;3J$<=UwT#Pp
zLEqH$+F+AJ#I7(uDLU@kn?PiA>EI%tKXM;(S^4=Nm+iWCF76mUm*erdSVyb1=q*^g
zSXdl@ssN<KXvDnr4m(3VQ_A#WVDfulJhTc~^-WEB?QS)7b#+9uGT*1c3*^EQRG3{a
z&kwI&<Derveft^tpHv46?zB2c+(;+gL+<>q^mu-{XD2smV((_gd&k{{8Y4n3YxQRP
zTrbRfbguNL+p{fDA@zo!k@DCJKVb*eB=Hc9xvqP=o^MMdmo?PZvN1C=Q&Us(@bHk4
z<&@<$BQt0BN@ho3M$_i`^YQ#fb(~Ni16~6XJhO_i)3SBiyF-wV`}_O<drpm^xLrrH
zfA`iIs4she{P-X$+NR^}48zWZ81zFnnVDF~#|vb{U>{S|7&O0wLXVuBJOY<Rf_v&>
zU;HNAlq5^zzW8#n$Bd8N^#eJ5X#HyoyVEWWcgLN0Z-t2sl1K@ydh^)A!kyFAHtgKI
z%D-;y!^te%92}rzBDH)V3W`i}aCCfndiwq`6%!Ayc*3%9`T&<jcV>DzA~aMuJKyK}
z-u<kwj}^KS7EG!3tvcmy)ZdkjyJ-a>Fu2EVf0)Y3N*TwT+S+qaTfN+k`wG51Iu;Ut
z@_;L)&Q)~#{WA=V*XQNwW_MR6Z7eZ1_RHDtK0<C=M&0&XywjA*LgsIN45&4VUUt(0
z5Xi}U6v#&V%KKY6*7Q+9x4$`g>G^1zXKtX*1f^6>P0isoEGHS$7oLp12;8l++YZkg
zOLKGm{m)(1i^rtCk6%F9MU(vTW9G+5qR2Ht@3y~PuMJ=oFzoTQ>ql99bvliE<Idjn
z!^6TBPh|i7`?u@)zAPt4_#UqcGe%Dq8LoG9)aL4NHtstvH6>=)=~{=DhHk2`oZ_D3
z6giAX-_7wN`<FcHmNqOAC8fz!b~B{cuV*FY9V`(m=AIsI80y+qC^t7ZL1CnjEg0mW
zOn2zmM_rtru{{~rs>+ZMp9k;_EF^L7%4XPxxcCuGWp46Z;rH~Yxr+OL{s?(onyWhR
zKG0B7Qc_S*(9%loB<nUdy#s~)$x=f)x7}w3awrHiH1y@w)hzob-i5ozi*ewlvno;$
zKTz365%YZ}X6~@o<o)vdYiH;4Na`Vvl-Y8lO*E-cRAi)T1EpyA!omXZ73<|jx!I`8
zKHxbj%F3U74ovp9luBlpv>G4(_M*w4`pTlEkD?+Y7fc@<PI!_)+w&0V=&VjmD3%8=
z(4$^XH8nMr{Vj~I*Th5$nwy&gn<L{%&OnNfj~^Bm24H|v7h}3=pC=DKKEA8tU@s{{
zLqijjoz*s1)g8Zj?{)yQjAZhujRwI&Qh2@?T3MA1r9Y4h>+0&7nifSzN0$=Ef+98>
zM8lO8H03FV*Ck8T1d&`{e*Xk@uBwfvt4{9p0X!N>d0Cl?yS|y?*6wbj$uN%dYql$t
zOnD*CYik38T$w0l)wX)ymuE1mUsP1F2m{7(ViXxtm#63-$U6(gW%IO2q9^7gU;$)x
z8;<m}qOHQ541t(iO#Z%j5kya~pgwxd>gagU;<y(a5;ELKSnzsqaL`Mzi<{ip#j@SI
zEIZz4XbS^C1}@`AG>AdBja+hrl3eM(3@sY!V-~C{8o3N*BR<Q%Mtnly;Iyb))MT9F
z<3l*l8lC%WC>>_-r3S;p9QMFj92o!{m|<dt$|iyajQd?WhOBtNrPw%SFfhj8;P_Qk
zbagUO6D^6cF4<Vdx9^>AYS{vR{Zf~cJ0taN=J%4qXD_mNd7ihiNt>LMcm2cbdm-mx
zQxVnTK9DbY{rt=s9Gq!mBPK}t@;7%YmeN8(g8yJVeALwUZYLQSPqjrH8X8)(TsqfP
zQQ@xXR3LmpG2LDy;W|2kAu(}JnOc&{_qp+Gy&xR@x(3@-0s%u<Em_%5%7&~qn!PFS
z<f`=2L%x2qwV1p=EVHIiaym+4h%dS7!(Fts9ZhD5c7I;+7|-Gt>RN(Fli=VmZ)@W=
zGgkjbIFRx#zp>yaE58?3gt&G~ZF}_u745*~k04n7&b@UTB_$;(sZg1;qUYtpY@d7S
zB8ie*|BOTvHdouL<}cs+A}m~7Kz^m5usc`rDvs@FKKb@`Cims&01+A{LYhiMK5B3%
zacBDb{N3Fw@NhyBG}DpdtDCC1>8+QmWa~jfa5$~3tYq=KQ%vikW5EUXY@OZjui_J4
zK*Pv_V;5&-wrm)Ov6$bU>|(A$Nm`l<0*OU%Jx*!L)*Jm1RKHkP=6X!m?lIfZzM}u=
zc3&jdhY&!>9(-`R*6!v09@0Hpfe)$na=&Y|5%=+FP{>-KrPVrFP-6A=csgBmpRa1;
z<cibLR+mj`H({+GG~R4=rmi!azoemp_?4A0WRH&z5BGNJ-shA4I|$-w6+ApWW$h*>
zV)Qghe9yNFXcdS`OD`L3y_0Fg)owagg2aA%w#;*I#7yRE?7z^^Wb%{rOxGRwlJaS4
zg$YZ{RqA-&Us`C~1VA7FCENJ(XWbQ_2o(ylu+*4KI%u3*Wv64jjQ|nWOna3n@8D{d
zr)OavD!`xiXU!Q7@{M%7dn<P2qa#Gvq_8qLxVd@)4-%7QySb+Z0||{H+1%{0wxexq
zz~JNKEU#F0bodAbAs~>lDoZM}s*6?HOXGYp=3fWMD@YUI6rmiZqLXwxJgARWj4-9$
zt{G>41U%f<Jeg(RJ)K8<Pe9}6<$Zj4iZHi&O?^WGavRLScJqwDKv5A9s5D6=iZ=j@
zOk+2TD)&rHbK&CHhd?YXFQurI=Bw%(f@Wu1ArO9&vx~Bb=q7B0zp&6L?BA~!*|i|T
zX5Zn$s6L=iEJ*D-AO;2X@2}UIU>gl|wgueZ^Ru-)K>rc=y}5aIF)s8vNEy37#-|>O
zfB>MMpHdm;W)CI~wu$+W#xiB^ujaq^^#x;N!-0b2#6dFThiHJ+T>0J8%{sPs0=a~)
zZWaKKiQ*p*51ojJmm!eGMw^q9G{dv?CLtWz;jv2MC*Qg9!+MSjv+-jZ1>4JuGM~Gt
zw+zF`CkLDM-D{nr-F|;gR>|(Br#<I0d$tNYvg4$vKz>JZ(NCY?Q}47hgpHegT4s5J
zk}TWoxTnL*>3D%kOWPO~1%c=r&y?hnOL$sQV00Gzl%jiVbNOkQQE=V%9PN`Z2!$9=
zBNzVdTY}xXfvlI;BY>3)8MQU<ZJ8Za;$0kScZ%f1A%27LgeNCjdhOK`U50fH4h|oM
z?u%ic_V*Vot(LPAjBU*3O)ZBA-^Y3HMMV^dHe0BC@oHyEeqg>&&al?eQ-Fhnit*Gi
z-ldq0XAzT<vh<>==X|-`pIqzApEUpU)_IPxWG*JL+tg}y{)mGsj^Qox`Gs6YhNb|2
z3IxK$6dQ{nMBP_g81zZkR$ssSyK)5|FUQHrvh9jJ6AQOK+n|I*=G9dzh;)&WOH52u
zw6reP<wi2$oSBu8WVcHBn#Sj1l9GFEe>xv_)9wDcr6`JPc0S)*`TD;2Nd6{6VCG*j
znJL~~(p=@X`}PL29C$I2K<g`r-vA70_WibT*>A%w@QJcAW0MVolaqDgaYQc^d`M#~
z<st-PV-uT2LTUp}iO-+4kqVjKS{kb+>Pm;jR#xhd;F-!tEp~Xyqo5em#Fu{`;O0CL
z%9Evu@9phvvR!@aEB;Gf@7<YJldV$8r&lQGrgdS^P`Y~A>r4p#Og%k4d*j(^%OjkY
z2&f^Re>X(B`hFU&gk#J4Jf6LJi^yqwG*^Lwf->YqKQ)i?@ci^ZLPCPXTkQ|EK9lfW
z5o87Z(WKe&@%a;?$kgT>ODipoh4f*atS4IyB|`u=x0aKOWQ$%%P9h*AL_vXfbsz-?
z8@JtB@lu3{sEthphY~!TC_s@{p&+rbl+@854*?P!6t})`U07I9Ky^iGz0M7|gjcU#
zJtYSMo{5fyC7EW%*m`8Sz2)y(#{x^&$l*O%!Dn?14UnJHUxa#F4F3EnX5mAJ@aD}M
z)yOe|Zve}dW`B_sg&~g>BOowjV#4sxDLTqjqDz>W`D8*;qsBC8UN0R_LqClzo|Bsk
zr8h65U};&}(a}-b(G6!~W5a2gOco;&DMfYIh3;}$SU5H&Uw8+l1b^%0^AZGyW?4YZ
zRFSn;C>;D&EN{dpbQYgTzJ&ZiWO_gp{j2=<`I#BIJ5v}XfR?w_*2WFQ8(gQs0x0?U
zwSi=nW^F?Q6AO!45rem)mKGrafhI^r)YM$TKH#OP{DYl8(x}Ypw&&N?UGzs1rlzJc
z;v5Z-`nJ1Y6qO1bhUhkkk)g}TKBUs+ariu4sZmnq1M)x~oGt)u2Yvu3jbu|v-po!w
zjEJ{!8?$n9f-JlA`ZqD)fxx!bnT=ncpKEscc#DaNNk{}=w&7x9Gif&~emV7)((~pA
zG!~Z@lZ2KM9TszP#Iv2bIUQyg73o9ppfR8w7^WJ?gW}^=yuHCvxrHPqCaN<^3`FD^
z!5QCk&dtv=ytnzRNBOd{x@v;7bLPfR5gUp+v}@0UXZp0<?q0Y3a(rwJQULn0F!}Gp
zyf2nKMn*={3k!4uQ46}Z2>@#csVwo65J*SClAIgk<IG!HTRS;A_RbY{9>~gqDrIzZ
zH1S;RVWS78Mm-}ty9=-fBO@QZy`R7l3lek}hB>f=lJNn(n;$=Z^hl>r($Y!?#p%@4
z`PICh>=q^@r@g(s43*s5$ja&gWZ0<=j>*Z%>s`L<)6;b&CDLT*ZtnkH&J4YK7aEM8
zNhQGX?eUs`J#}PiYD(zk@dA_{9v&W3d`X#^72B5`-WC=s&HqZJse+S{krBY4TwY#s
zu(R_yZ2$6ozR0evtp(JbcX8p@uU`)j4+TF~sMq`$8anJf;U}poDhdWhc6gYSlqA!V
z@!83#9_fucDlY=;k8k+w`%bM1+!N>L=b+FAD+4I4riKO^@UWo-dQzO>@$o;NJmY{D
zqy3mNv84v~LYsMhY^<`m8L&|rL#*8CqkvRXa}eC_tlvI7ynnpAVCj0S)nni%L92*J
zOCwNGQ2|6IFd!01X=aUDF+oXbD$KMWeLX#!>o3nYfK42TB%HrtcH;H!|Ax<6k^He-
zv!S%OSW1RTr`_$#SjPMQ{(gubpxxL~`N3?_A|gpanRa`2eiwMkW3yBbvf&)*-onMQ
z`g$i&=$sQP+1`f>pd)+*#mwi=pRcXNr>f-S<UnTl3bKE6w7fW&6k5g&=tcPqp0n!{
zt;_uQ_%{J$0HQc{9RRDUTK3uCckf@3`^8mcxcu^RYhd#G1Ay=XCWZW+Rj=7zBn~%A
zj6y?8OV)8x39LN8H2e~2m8Zr9JYSxlx*pGmLE&;w7f6PXD06jvZEIu0#K5rJWJe0|
z8#TRIcmwKCI(qtpQ7qIDV6To%zqEjXf&`xmA?mulFl<Z!FsDDm-aO$1I`z%YHng^;
z4QyTU#g<f7%7fK(7#JBGOl38IjvlbGv;>ZRqRGa@bOOxUJ0(rP)1_&Q9AKmL^kBE+
zm>6*)KIBR{B2mQBfpGWstxVbvJdmvb#<<IPFwSPV@haA;HZSk@kD%8eMF&i<goK1K
z8$QGyOavIcx4PSC8fR@QphI~;;vgM;wlkbuR8(}a2h4(nH?tBje7MoE*wFsfR`ZpQ
zkB>gtQa0Asp<)ySb<A}CUI+*XIm#uZ63a9SS&S+OsQ;)*9A<4g=@E6neosv~fRJQy
zJvuZ5D!1hGhwG<3;k6FWrl=@+QVax=XxFWN6i{;ka`pQ98tj3mr>C0QJfJZ3ZP+x6
z|3?e3L!CbAbGeTZD}{v=1WHv<S)RJus=B$|f_Vu&-x`&B;R$Z<>{MvCu<`ITug585
z@f)z>fkMxitp!lI9UZGfLr7)Z1z?!~<WyIuA}X2>%<1lYCtor;$#j5HG75Nv=$*9S
z{XAx*#Kp}`a*^pQJV|tu**Hmxg0?M)3)d&h-=Ae+y+e_bTlZh2V?X461Lf;o>I2*d
z;I8)etXOd?+AR({;JVW54<xqho!%hxNhH!NEgnV_dbHmeO6*}1P9HTL=<5RmRR++Y
zp_i8z0Rh2`nRQme#KGm`qnBz$7foUk9o7)=GY};d#61HMyPmGK?Cq<O=9!2I{yku(
zL<Ky6i&?kb?djfGl~`w~2?~U~sBhms#phOfD}MSkGcf@XMTHp{7%&5l1S;H87cosX
zHa1X(V<!-(5){nFfenz7`V}qoTs$Tq0QLcJ`G6@eS&Ak90Zc&j!-wtkknhHB{A&QU
z0RQ{6ABb#M0$>)v?U#@BE(ZhzjAioC?hpz{b)}@Hf;<_RgA}OH6%-XGHhV)<Jr4>s
zA2b3K=>Qx0yeITh5-bZH5)yK8=jEJqPi6w(fq(XT%y%VgZG8;(6VTq3n%u?_1aA<&
z1_VHJb2kBWqAW4P&<KQBs|S)|=-B9W-<Q>;C6Aw>7?#d`)L7Wq;^N|}pFR~YVc;)Q
zgObR=)|P~Tpp*tbE+RY}1QyZ!N&RDa5mr28&UXKR7oB?mS2^P`(u^1D0x3d4K|y!7
zu(O+gdP+*@91T|7Z&r4821drm`=hGDRE`{ueW!cibO4r{6_FA?&CnGT6m;T!8cAg@
zO;mAna|6d-+DcL|m#L}g`}gmGEJ7uOkPh+>%+!0iR|7%#{%hLy!Irc>D;~Sq7!kMa
z3UGl3JgG_qH-243#TbBhfOx#APG0Ema(#WgNV(H)`YINnO$Srd&TS#6=DSI$sT#Jn
zmASc_XIle_cLYtfwGKC@t6;Uj-uZn{rZG2TAt&EFoGp9nJ`E1oN>HTSoa#8g!Nk*V
zqax?xasfzO88|np_5D8((t%yx{1Mbz+Nwp~)Nba%a4H-lh>jFQE1%Kq{cznA2%q>q
zDMS7{{Hs??>eU+{BeQfv>yrS*C2EM{Mz=q}p8iQafS;r=$WUPd^d%-H2B<#dI8suc
zRXjHIl;xg6=t6%D$7cIn96Y|dNSx@!4HI+yv-WgU)dfTxm5p|-tm&Cm`T33jPy?qN
zFd~4D($dfv&cbh;xd9l8L9KFTZmzPt{PA`xT9SoWj*D_H2nZQSDd3@_{9H0VXXy!o
zGeSY|4z_oA6(v?GAtmK@kT&}p-n%>yJ#B(uS*?>>KjcqV>a@84u|T10^8M{?b93{r
zFYCY0-0tq~K>h*}zBboCg7zE2^Tkd7;hUEME^o}vR@5n4K;a--FpP;ij*<m|5JbA{
zj->vJFaJd}r^?+JQ20q$zzwLVjDdjxgY3BfdE_BVuK582DX2=fgV*&`+t_&fE8-g(
z`HcO|&D@HLRV_3vD$IAOA8F!K<KyF#lKM^Sz@Bt~G;5895KIp+3&8>cJ1YMVEczSK
z_r~hKpzRH)?mRs_nANL=JArixQ(-11Bmm0=C4=w9DEG_#d>7nsy67v*5(W-}NSVT-
zf&vf+0lEtX$pBSdM#h94FyP4@?9Y|j2dAfkCPN9}sF!_Hh?q&pyE9Bb7LkE{$X~!<
zn9H-k?B+S-A}WK%Q2aXR$IQ$Ouru8j2XO}&An7>v3`GW^t419xApp%lLdoZP3UZnZ
zHj{7yIJ|pdY0Z1|Tt#&imB42f*NagT`+w|XlXX>5l(O0q{@CN)U3ULif4tC<P!+ld
zOa~}#00yU|6bpd4*jObqv+vu3;U8(5>gx-Nidw;|tqmO5D+2?PPY(_qxok`Z;=1a(
zgS~OH21D{w@A-50Ci4ZO4(Hn9F#!~^Y2RuyGdZc$G%x1BzTW@~xm`TkdoSXsub?n_
zx!M+poW{xZK(^u29e9EUOXOcljQ{)RNra=`9%|4Gp{R&#FqY`LXy^Fz(?<}LP1HF)
z_hbeDI=f^E<I05291+6$WnN4ZIx>s<mxCe-&d(2DZqNUAHw(Wfi4R5-EwKCx>(%|_
zH{qUZn5#b9i7dkAGnR9!G$H`6N1$fHCRPs%VJ*OuUlDj`tCs<uZ3#331uD|juJbIS
zlEA&zeIIaE==}r)kVQOQhbx%^JKB8km9f9lZoq6ogINX$2$a(`tLX3A!mV>l^~OwL
zLb_L`Gk!}B-o6(F1Af(vY`fCgY@(J7!go)P;xr~iA5iE(wxC|$iE|n(CAuB_%Va*O
z=S)NSAB{u1F)v>JT8{+P(*uT_g)!P%BDjO^06#zz8nPhQ#O}x)C?L=RxOyeRe4MNS
z)1WSc9}_d+o{O_4;GWIMm0%7D{LhbPrORa-{IaQdwVG2iliDse8bFW$qzAWj-k*j{
z>?hyXp&#Jag1hptI0Rde8;f^i@Gm?=#tdQubIYkA-L+-Id0Y}bSy`9-3upgET<uB=
z?`wsKfp#DEku<L)zvb|{bj`yf)Ept}T=?Hj>GYec9FuF?<7m6c5%R{SPu46BHY-DX
ziEm{m;osQ5iX|2AKmMk4>E9Y~{UA%4=(4Pv_zC+My?kt5VlXu5H~caw><U_pL$l)b
z)p3e~;TpeNzWIRSLgKMr|MOJLY)(e+U{9MS`weRofmz{xV4?tX-B}}s^IKr-ht;#B
z@;LQ)Mh2$_QN5e2?_oJZmtq7ahP5-bGw)U2(mekXS?S~fb~L4MHQbuT>9J!@u28I4
zMTN(Mhkg}`W5mc>6Fhi@Y5(e`X)W2y>wDqSjOOr{Bp8lWZo}M^B&j+gtCrvWNU1If
zB?tR8)r}?B?R6I<$8HnOM*o!-&`9DshXabB%&trbosXikn7?wRdrf~su8;_4-`z<Q
z+U7U21^cNZ!FyPyAHQBvdLE%0u5DZ_-@!6{=&~uAs!Ud=tCTJw$B(5_Kq3Ig{VT|0
z!wU;LcU}K+|8A`*d((}BhVf&@+3qvplB4Fl5R{t!Z^Nku^|OxO852Z44C^zqmxIX)
zL|(+<f3TB<=$q0_LvV^itE2>yEl&+9jY{)Pa%P>^50huzo6eCakzNr807CYD?tZC%
zDHOroeV4i|Tt~d3RJN=x)mkN4_l9Oyu7~uM{6)t3k8|D>Vgj*9PyZW!XnufPINQ*h
zsqm)phX27`maFNt*r*k)Em>E3MI@r~MdhGZSpurJyQll-UFPz8ZinNdMf_+E2_eC!
zdy7L~mF1&ltun3A)ln!25%1nkYH~Y{uB|z<NQAz=og$WM0%2N2)>fHgRVc3*@oQp|
zh-BQPo9n8kR-9IeC<)jpPmAJv!H6_9PLt^2avF6g2+|*%qG#?|k9JO_WGSxLi%Gqo
zxE(xad4Y>cL^>;<W{d@T?mO)G#98Fq!D{Tga1Iu2YhBpcc(h6{t3RxYcV)!htCWr!
z6XubeZGK0SWFp3Hqy0SpL2X<U4bpA%o5nYL#BR^(z#{b<+rchO09mS#S>t@e_YAo&
z8i$|=^(f~?&5XaY`aIWAF7HBHmyr79y=XT!M>40G_7Gl+{dUOr&xxO?w-F_8qhqu?
z&0c)^i)xOhjwaR@Lgvc`N|UZUoH<;Lb%tdGGmksRbQZ|H&S&2^F-q-33?-1NT$W!V
zPzB@$Znm-8*_n5}zo7{rBOWE5H`A8f4p90f#gn9XUM<Fmsdv>GPKJ;?IEp%$goPf_
zr$(!H@@2i~chTeDN3}g&a)dbCq+~aK43U_xMu-~obraCI5_-aDBC-X2Pwc27F@Lc)
zD>y5F`r<JqAPF%QJI;l?;!^3~hGD=SSf5yz*|q&g4Dv=KrhlbBDLjdk(RZWiV)C4O
zcV*xFH0HM7Zg0M59!DHoy1f;QvMwQv3_&2<$80pSYy4d!tVqledzI`*Ri&~lud9Lq
zm7^=h>j83v^W%xST3VC+CW_8|?(Fq~(xbJo7aG9}OEAq6p~Bs-yHYLlK%zkU$D8qP
zVR3G-(r`V)Gk)Ortl6y4!Wl#)1}GbFBB|*w&X0%N*DpNk!8mA%WZj;Qj=p8HPcRA0
zY1w$#cp5!uq}LHM5hDa-G`t_KG^Ipva6VV9QGd)`{J9m@H`%9?X<cFC?S0bV#~|Ev
z>DJ*<Zkbw%TbHo7xP<>3H-Jp)PH#s6O)wD)H4`_SH~IqvQa{^}izaKA-Pw@2)Uh0Y
z<|v_Mqtz72wZ_FPtKDk*&Y80!v?|3%-^0;@-9xWRuFN@Oi;jLmdCrjINAVG}p+8<#
z7(6898=Lf#-C@CMJdkB74E1~Q!$A~N)mzSYWgx=drX4}auRKDJfz&l3b22?9E0Uxs
zjG>197+wCpOB!=nOu*1g>$`s@6wtarg!jJQKMwCLc4ag1bV2?%@dy#B+I7JQh(|NE
zN(~kbT=6#O@1{O42RCYhXA+t5<)MC}`7FOKl)2t7DJG?*lRk++nE_YHRx-6V-&xTp
z7g#L9MM;SO{S)%t|LBC#;e+FZCn1yn?h~4w3-)sNS`KsFm}NksI-TuXTeh1RM>s1v
z%h9iyKsgT9N5{zk;{v75s*QXbu|#CX7D@|vHEC8?l~1<uYo%l`@SmYc{-13uD*~%v
zfbeXafafujrB<+R&E#xd$glFdm+!+9=cW||GV`Z+ze!*&{YvbpR%n>!I7OI^iW8et
z>5=Zf@t%=j*!*j3C@qEgo7U6{`4W;Q8*Oh>fu(QL7yCqTW-E<fW?9NkiWaY2z~&y>
z&X*l2ob?`=@J}^^P;F2IqgjR}B%`7fUs6U-@!|HwD~`N`ysgKfoLcz7t@U#&(DSU&
z*n-dhkgwb7C?AE*Mb#0vfkJ&Fx0+!wLjpCT-?GA{Z|lqry3>k3|FOy;4oW&t)dl-O
zcSB%2@{evMZMHm(IYwG|`lZd~>Rc-n#EHpSmL$oE!}Sxb+PENRdXBiTFN!n1vrU5y
zKMn{!j0UY0Umn)4U{MxPPOeTkt1OX^kvW_>%5*;+Ebiy-g~fRbv>i*QZZS#{zs_8$
z*Mt?BI2C#RbC)3@zxKzyrO83E3a`Q@FS2*@_T&*9A|8S|jOeo9tTqHnths`joF-8)
z55Q1G&g!m@Rhlk8EWkjJe!P}3lp!+ZxpcuH9zivI7q9edU*F~L0>3AzCyE@34`CO1
zo4-z9W4h^l#TL1Mu@Rd<^qThE%4L!CPh5>}H4{@WZG4fm8}xN_I#v0-$RW3)XQZny
zQu8uRWyJhYdKa}4j98BNE4$~W@ARyH8|Il6($fDu4@sWBR)`m~ZOvi>OKE3rhQ(@4
zvnVxkt!@|O`dX5Su+S=3>)I@J7M5XJsp#7WiQ(lWR8#o-%e7f+6(tq;x?Ybwa0aL+
zE2)8FOu9n)iGFsacf~2e!tP(3J$315ea7-^*A+&78~?Ti*>-pt2Sd+T-!8|hFd{Ve
zFu_u!O&Emzd1YKWS|MHdy1;t@Y=v%xJFoC4akQ3PcgD4jZcoxauL5%g2!xT~2#Eaj
zKKmllhC@SubQXyJSa`aG?{)qcbrL*})ssNNnI}aILS{wg=dE%NEKCU5!E(V^qrC2G
z1;nxLdUVWf+3lSFQ7GxXa_4lzM{?IPc{M6TfQQSI@#YAmMhtH%yS<w5*oYq9vogW@
zg%M$O+s|O)U0aarQ^1R}er$jZcGW~k`6YsZtjC11T#wEg8yJAssR`Z7#svFuJBKH@
zA*uVX>}#ku@9Cm8D+>)0aiD1&6zO_(Wc3#cg8tnQ1tgKZl>fQf9LPWSS(tvJ3(tw6
zqQ3|27Ls-r<iU_y8VA2$@Z~FA2k-vp!#f}-C9K82>#au*B-VKIUU(bM@<4!}+l>tg
zPqgSeEl#-TUeJ%VOb0*Jl}x_}DDWO`6U&%)Cg1TYJv<Pu;wdA0qumKU+^~b(RPjH_
zJ#@2a-ISl^p?_E#%@n42pa+VD)95b9=oi{l2&(fuAqw5_D`*IrxV&y5F=me$B4_!?
zdttpp@IXHc=d6ivhxuL@4grYJZ=aW&HspJ9jt+7=+Ww{3YngHWv#Sh&9RHc-ThNAK
zI8pd-_MgDzLdcc>SvMqq%|m$cf*??QgQ86${|gUMxivIc+u2{KO&;px(y!m$)eW+p
z&|x6~AOpzf*V^4x6cvRFmGP0`Al*NI8c!8SL;L^$I5XoKk$iW5uc@xisM9(F=>EPw
zP+6C=Oq2T2I4mfvvjDOf89&NhYe%>n<B{Y1`)W&DVX7<ut8qz5NwKl7e)mOafCdFp
zAzewy0RVaf5(HplO&tr?ToHYFljZ<c1*oAlmnQ%?B5;@p_*}}P<i}g`+b~<mr+{WO
z!?*GS5IPrLDjk$<sQLT8f`$Oq%@{v_ofZ^aAO;SO%i#<?K=pwB3y=bij(2*A=Wgu)
zNd#Jnl#~<z9N7Z=6`)V6L)$?+??;^}(qr51;gqlyW!e1J9x``%#ce~6?|TcCOWIsc
z4v&vB0Fw$77ykYtq!PyB|EY%`@Ak3**bX=;fFC4qr~u8jU3N!iqg~pi4UO0rVWvU9
z|CafE$+%i>nxM#mfhd;DfM<iD0HC0ywe{`gJ}B&Yd3hNbkAbcq9+gNK`>Jk!-1OA6
z+VwlCFq5>nvxD<e9|yz_PAQ+F)9@&wg0Wi@$hU%m`T)ZMKb0Jh9hL{wP%zNYK6<yF
zvf>dJAIzBJ%Z!RBr)6Z&t^disYZO;Br;#A~SZumL7qYVNF81jsXam7o#kqou9%us%
z4xm3nQ8=chvgPQl8U&&gg3#vv7Kquo{wsM>1D!1TJpqCN4nw&>z64}%+1}TSfFB@*
zhU#2Xd<WLd{`v6^s8zgxd}-)-<_fS+_a{y3K#V3P_O-mKfNTM}feQOW?!@{!Y4pIK
z)i$-A(a8{FV`J@Brvm`Y0*ni21#h7T(67(}d#XX_NKMV%`7q0@;(rx8aPaU|>NONx
zT%SRqtEb;KgZ5tq5`dFSk=Uhx2uIN4avv;6G%;V1rCu;45U0Nj{rZ&xGc1Z!sMF~{
znT~b`=E1FlZT~AQWMX21$LrSq<Hr%uv7>r2Tn*DGE6}@XPlpvA7es}*sihTGQ6UB&
zGUvYl6jcDUiHeE}&P6Z*Qh6Bj8CyWo0;SgH-7m5--+<5~G1KOHLj<|?m54p~7EGYL
zhFs0!F-zwyg`l7hXx340Lp;D=7&!6=>jQ`a1`R0)1UET}Nh`e7)__f#MR(zs0q7Ij
zc=*$m4LYA1r%}kgAq_LcZxcNpu1^4#Ub4Lp`@^%&wXXK#4ws3oZKwN%>CQSvFlc@F
z)1%J{AQtz_eI<=`%7!MZq(uDP-85*(PeW}-c4@}`T)lsSo5mYVR{NGTqOmq63XG`H
zIn1zDJ%k#(<ai^Otzd?9IcxI?3rmW@FT4OT{JC|;ikb_A@@q!pSpoozNiu@Qj4vU^
zKfuD`$j#~AJ~Ikw=ig%K{992z<9j{AEU^0f+53AuEp4ts5fHL0wl4~?IZ#1zYL)-&
zPtyDQUl0(qMoaJ5bEJO6Ol35;rozP`Q2X@jJ*_1G6#)t;yw@*^g)}p@4txWkbE)iY
z3Mq+jVD*8rgqM#~Q?nk2rD!xmLo&DC`(_o$4Do@`#`khE{n)zhx1kZF`*gKsZ0z{u
zWY%Rv*fbjM>hiYEOpOrlFOZFZUlh`2=+>oUr3wI{a|~o^ovZ&k%PxVEtl4t5R5S#2
z&_+ZQ1_Oz6Wi@qQ^39v95{vJ#7-&yJ6EW*cGGbj*vrnEP1afkdkoKf-!2NXkJf+DL
zzP%UjB`Pj-{TdRYkjiGV0n<&*+q1bgjSLBu`WnB?m|gWQCK)#bl~}XEGEtE(VI8(W
z=wI)FFddc;&=dLl%M1ww47@N!L`C`R66a!iJg*dW=sY9Gfj%ujSp%FdZW+2j@84I*
z`1!p+B&LevuVF(pucJg<59{L@e9-~X<l{$Ps;7=0AB-S=ilKirkww<98|#nFZE2t(
z&DwGT9Z*cFKuyvQA`a?L=mI;AC=!8EOVUr@6zMVmv|yI)&4tc{jZ3)Nvb8cJmNz|!
zifRMQk&0%Ciz9}Q7XeGg%DmXhAomL}B?Sd@qv_M*5um{c@1vNV+1FJ6`+Ps#St&oT
zls3Im{xm?!j0_hhPpd*_!^;Z|lmN5}$Akn<ALZPmqF@Nr3-a^hv$OwfZyVd$0Tdx-
z&Ce(lk|-kp8k&;zd`du@j+OJ})m>{VbjIVjin5Z120jKxY)nkfLNBtKJ}DX)ux$^t
zYSEvXn$7(KdTroD@bDpky5K355<zzTCv*g72re$JDqkKI;Guj^mN-E>4+s9KrU!^k
zfPtQI+-;!%g4NA&p_g(?mS7r?BLL<T@Xx9ZxI?`FlqW;)CKnIaZ?>XmW1E_r`#h^l
zmk40X?}ddWOA+M1s^<Vllg?`J<L|*nE+AUL*cE4WkwriX0yvS)y}j?2ED4eM`9{XZ
z1*IK$0mxQNeLsI9=e5(Ri%`TOqo5cV6FGv5k&uvpc=^*w5K?tRL(nGt2>zVr+qZ9j
zxUAOn1Vlv0IylsVuUjIo_hH~62Lq(Cv|~RT7%CzxG&n55xM<>mdi42CL>PH%WTb;U
z^ViG%zc$GLxy{+%u&}a<AKV6gazGpT5yU!sXXnK7b=02l&1Gg393o<3KnR4kXv9iw
zUbu%4_BQF1R#fzHg$`_;Vco#kSXuSX@yuZEBCorY)YdAiso}m+si>#`%LGCoMXVGZ
z*6*`hz+^fzP~t?Sel#Uz*9J|0SC^N9D{C_|SR^F2wzl&5lL)XM^!3T)5k-f{YuUXT
zzGCx}*nv>(d3}6#ehv+J+#-ER;k23y=>uE`;Jxpw0ol^#bTEb11QeKS0|W50<NrGK
zfUk>3;Gj&H{a1v6Jb_R^s3;3V&B!?N^Cv7ekoy1$pg_^z#`^jMmYSrhs;X^YT-;<J
zK}OY<1;p=6u@Vdi^g;h$Z(Rp_dviNG(&o&BganJ}qTH9{q@>^WJhZgm{nNz<$H!j)
z;7v^$`R&``(b487^DE=qMp-T{F2MA_d~9OE3<Gqw7(d`!PESvHhyYPwz5OdzN0y6&
zL%YkT0}Y?&{rd{NuFmCtAOfL@r%%0JUR$#@G722Ln6f9FEQ1ZMN@5ie747Zs2L~<;
zL{n2UOVFFwY%F7GNs}giQBD>lRY0eiF#8O8TdB{tF75!+s!mN3sQDvfGo3G}M<3)_
zPGn)4O5qU^Kze@q`!_h+zJ2>v{HYXZmRp^Vs_$z$L2qh#`A03Sw$4r;K(mAMhNyWI
zc!ibKQB~)?<wg-1CK$-ShQd=oy8trp)zAL^v6Od4y}>9zi7NHZ%Loku`6r@CudrnK
zBrGi*Mx_hg6K+sJ?dp0nCZC#IMFb5HdceE^hsf=(o|~E~lm$S)>Pb*7I4K!%WF;jf
z0W{1BtQ=_Y0jrb?TtZG<ybq8?swaKu#_CpKA99UNO;MYavcPi6CNU~C;EKk8CqTNv
zHGp{rexWQaE1S;m{?7{nfNR?<)&gch9C#xd7+6UOA`IF;C$*R>*8n>2-tXx*z)(Ow
z^>0jr_Va*a90R9_tc(ntp%@kBKb=iw)h~V4w6rwVcUM4i0LULBL!_z5%}Vf4Ts^Nz
zXU0aNZP5G*4-dL{kr<Mx+5s^IE(Fc2K*_T=mbvB70#ox@L*rm`6Dofb3EC3zV=5ap
z3rjQ*g4py74-W&%cY6AbXcf?9pPURtlcFIYq_CL`fnm^N4T0yu8?wHAdkAi+-U5FB
zH-kxrjsViev$HdpcX8R-(Je{JDk{rMOH^B<pj#muh%H^G#lBAifem14s~yqLNfZHK
zj}BhAxWH4lmoxheXJ=;IJUl=Tb3~tEd3)aUL0Xz`Ri>?hLC@X=_~Le*3&<WoVyeGQ
zPyoO2NDX<O=LiZ8K3%90jat1pKL?~Nc#xr~X;M~JC+HGD!zHk`u)sj@&_T!)Cc`5n
zbX^7>v%a`Uj~O;`KnR3I5I-Q9037+RL-I`d@$vC&K*E&seJFspJRpXGg3|N8nmykc
z-jUi(Nl)i9{22;7+#I|tEp<T(4YHd*ngG)Z4MoURTu6TfsD1AT7bp4Luk<QKpeJB^
zd;1%y5QzX1=<MDbJ|ux`0KOThTVbKwSCC*opYnm20vKkHHU$I*nyhkz#^LEAIrF2Q
z9S5P~V4xO%ugQ;s5(yNbYi+JzUoPDE0l^RP1GIg)3+9_Qlg1LYrwFl##f6~L<qV(O
zR@>0<H`t%T^)hftXQyu5-1qYGZy$2?cjAC#!C3kJXx_eYT?Q<>$G^V|P&G+^#-;)2
zLJ$i<R8Vh$Jpk>AH_c85aiCWNbVC&Cy?{;>JU~*Vf&A<1hfUBvAY>hY4vUD2dP>;{
zPJqta-x0Rn{E+T!-{<$<_f8z}CSShPfEM!9k4c+e5CkM7UawnLB8~#keYn;;G6J#{
zPpwAlyUh^Nf{zRO78dkjjpCA$o^Ebl&2wa^A@P(gAAo`ZG{*zN4Jb@NQ~^w^^Y$-{
zR7T*~Ad>w{wC6-cxAoQcJoh7k+Q8VvMEd3H#p9hLT%ZUQ=AG9wAcx<LC_U~^QZgsY
zQelGD6ySy+4i>Bf+V>pHi-Q0K)kzUmQC5Hq3kmc;0Q_E{``G>MSD=hO>%#?$DL@k&
zL<bErTqtONbV9--AnE|S-_xAK6g}|pJAwstY~;oyAQIh7u!Bkmcoc|x_)ZwCu~J|A
z3H8yn2Zfog!U5+DTFE!!;-#o~feZ)46@zw>JMc;0M%<h9(X~$R2k_qir1z}X6GET@
zSY7o7jnu&QO0NsmCiF#}oH&k`N|1`FON1#s-S~a}taVtX%nDLcZh`NDY%}nKGI@10
zEjBDP*hK>%!^rkJ9~3r4F^rO;YW29X{P5v}fdM&IoF%B5{6U()FDUrD(Gv(5;=>r*
z!s23c;8I)tk>DJ|C!#KJ&?i+e1sh#sG{CIa>9x@frP|>Q=w8s4WNU8j281KQq88*Z
zP@pLoNDV>7%f!eCG(9;V#n0T@f%FBm%YaG*Xd%=s27)eM6Wx%}Vj&gg<oL-Hf?356
zYyq``>|}Uc@&11sjqDRLTcMVzk)`D21)cU4eSDrlr#c7_1=&^PC={{9;Oyb&Z*Oho
z{ZESxL_S(oAt#A7ut)!EP*5hX^AISrf!EH?szx20V*aO3$N~tNKota7Yr*H+EucCu
z+Gm0Vf5f4hmW71{)MOxL0UZWtPA3rZX$Khq5E+JrNt6C5+IRAhl!T9zU;xL|+qY9Q
zGuj;<R{^hHw|8_Hh;q>RX)2R_$gM6aqIv(mrMVf;yBQqR5XhT1@j$o;1sNJ126DK`
zAOCCb6=)7(?HAYw-$dacILX**A%zv{<}&*QS)VP1Lkcp4{gx9GjQM|TSpWa?ChKiI
zhdPb6!6_|8++5BjH8~#JuX?fZe4&MFvQ6`VQsM*nk*9K*QY06IB#G>*u?{3X{HWP4
z<Wuaw>J!|lr@cGcszrIwDM8H-uzbTE<!JriW@?Q6>M5QnvY-E8{fBM)Q&UhAUvq+`
zRUSoHBWSoGQ7keOd>rh*tmFt6p9DHxbtEzas{&tco;wl`ZpN5?M+|KZp&X-N&8sE!
zD`=F+mo#4ad`GWQ)Q(pcWuv%SNG_A9tWCF^uj=tpAjP13<npnyDN`p)S_VM#486z0
zWkqL&PZu>j-#?a3wE^wVujc;`3WzDjlfCJ;Mo?o|<Dxk`|7J%UgyMs4mOCIK)Rf8&
zrw*-YmS+m*JHp&m{!02!^MC(;rKZSb8AEyhZyG8`;JfqFbi>5#yZN4>aX``3zZ88*
zZ)PMY+lYpac!zVzf1mzf=Z6RIF(^n!OQs{`0O<HUlQMz`|L?SrL6fD|m-D{*r)iE*
z0tf{3ZJL^WRQjX@z|8<0sH<whI>9|t)Z{U_t`u8=!L(x0gpAmv&d(!Jc*%v#JVa4<
z!Ks)T6x)brX>N`;r-Oq$PGiIDEbdJ0D-+rQI6VN_rz@r7=15*2;&$frc0R>c3Mn?q
z?KL_Bq~O}~72wI{e@%u86AU??&+e=M)I6D*8FZ4>U)B>i5==(QJ7zkKJU<g_xoPl>
zIQ?DPzS=xxk?&xw<_29~h>+%ek1ta%aukP{qbnntYmE?y3`r8th`q3EYlVw!SBjwR
zL$fUoM?J@5)E)hj0*oh&TrEvg7@y0L`hOPU)gBH2rT`VhHv;~u#pSMxv&_{@RZ-rH
z$|KzjS?PF}msD_p?X|d9Y_W>i40RqU=U^Ixs9KUBBUpG5&OxiqzSFSPq;?dA?k4Vf
z+%=}lrQ@C2pM^ZF>aq&5-Po+MDdq}OPW2^?vDddJTRKUtUTzdhq>@aX^$TtVH3xLl
zU-J>K1+PsjO)tG#gOlJOIXtayKcWyJkT~+emDLsZ*t+>$5=*1dTxM_nJmy$qu@C<T
zt^=k4a2=KziQAL`WO4HHCWeL6+O+lG0QCduo|&yb9%tJVAA>+Np+~2N<8=DqKyU1v
zhFmq~>%Pm!n<O8M^RI}Km{~7-?oC1xP)2?}&=9Issx}LkD~+o)&yLCHc%gJ;2wgOT
ztL{GI|JBNw1~rvnQTVZGP{bf8C@9Oc2+A@pAd1>!BuLPLMli;V%HoQIP1y-35X68$
zi4yEl#6(+`Ad3ho0omy&3d$zRA`!5W#a1MQ1{CJdT~jr`r=}`Dlb4rU@8#Wl?stx4
zQ5c-ve;JEKcOPTla+w@yopHi0We3M@bnA(&jHKe+(1U;579g8o36<%#4z@6v6Blng
zinNYLmGG92EtgfuY>o;_3N6EIQ_a_VXLedHx8TpvorK7?hzQZJx$>yJgr9ig?X^wf
zw@F!psod10BAqF3whd=~Wp*g@KU<~5=Mq`iRGi}3HgT=`7YlQ*I?BehYHu^&731}W
zW`<$(uoU^94{hFSuKNHIeWVG=+=v?*Jovh}%`}wJ(%kKoeq`rN8w=Mt@v3^%ZN=u5
zu~)DVNNy~eEbMsICJ~KkKh%D6kcCPdEz=2+$6le&s;jWeRit`bC-R~2&7}P2P#-BQ
zTh^R*<95VP$PrxeGR@gXWa1|+r>tKxV{7}dqX`et&gWu(M<v(!{A)FV%^Kbv9Tb%p
zYgYO^-#K!ka{v}_Ir$t{`UvwQoZ(7D`Se(-ou2*93?}u#*G1AA^)F$s!%#X(UIFw;
z&KwD=6oNRW;5sEZ@Khc33oHpdJLL6q(k3OMtujw@ab1lApIf9%NSaS4+b#G(VWEPK
zs@QjMYnnyt_>f0b2<{rn%j-^cA6cJrY1wLiN~CCp<D&%x@D<r~P>_Z8&e!Bqegoq0
z8L4SpQ+5cw5SbPSXIeBjO@*oikCM*WC?DH>J*HGTHf_7lQK&C;uW5qO?w;;~gbXtE
zj#*(`Md4TpUYI<-Z)SYs7)4h%o9)&cUixSJ$^Y^+`LFbp|HsEwk^;>JY^&7R!kGt{
zf!I|_Rs(LAy=duCUcahrgc$N?3KU6E`wmZ!%(}=-Nfi0^ew|_;4A(aWlAIIdu7wN{
zQ-E0L|3Q-9+Tyt^SzOy-60HaHc<$W8*6!{dKHXN&_L`-6`S|SeeOEq@*fk5NFcM=s
z5O4K+fznwT6A)x9g`b(336lA$U0uT{nt>m`OPzCb13$dt?*WjXk}Mxp1#BB;VvyTn
z@gN+#iZv33dtd?K<;?8s>qAEXjZbU&@>u>`Jd~zpW{#gBe?Y6Ds;b&!>4T&j0IN52
z7e{YmcdadCym;>y_6?H6gAp-CV&LO2VKSIZx{Hg{y9A9o!ljma!PK69_!VNVzV_8G
zw%%a9D$!6l7lBj*K-27qi12Sbhs@fv_;|M)CHpWr!oQK5lLNV5z0*Wz+c^$}&*~`!
zN;d$-9pE|Qbq-h=8*^>%a%}|ArxwK;Oyz8FSwA7_jU1QB@^W%K3K__5Lhp~0u_1Hz
z8_qLu#6=LkkJW#>-Rt+x{AvC&m)Vffy_~o$<=%F3#^~d2R^ta?E_~-87gvk0AWTB+
zKiUDgqJpi!_<g$I!p5xjX>=5Io+tCrX06OoY0<59*~jPe@m&Dj?j6X^;^hIq9eHg^
zRLyt5I@=6ZB&_|>+1J<C@EVQ(({xC|<M7GfQPKYXekd^nfqrcoE~}e2Z=&U$53_=o
zhR+Q9_D5lQT6&_WvFAguIJ!{DQ|Y|s%kN_T1?d@B_x=eVOT?{uwAr>vI&Zy?!%~6+
zKu8dM0@Dr`c2*?M<Zz!vBI)bfgxP-Ah_ZnK&Qv!-s+KHH0PLHbypTXT6r`>FH!YVC
zZXO=+Nx%6NnQ`^%M$eXe?{b@mq);L+aX5D<@&w8O`5*1~I>aBTsi|SfLlMD|`l7eD
z_k7Ih@i~$2E`6?zzs`m2WM0~(Dx+vqgS#vFZDwjbNy~15kF93x_ARSRZ6w}f*KGof
zDOo!L;;UNsFD$y1%T?ZQ(0#I6tIUPIpvEXbYv9Sw9c0gr&ZCM7gXgE80Q0|aY3l3o
zHCL`bpMCmU#eiX@1Kqx?;LGX6CouveC>RV8oFiw9Oa%~QA^1QSBq`1obL`g+OT)PW
zBi_lbt}fFRiwV6|iK<JMSXf%h6J*K{v<mJ8*L@gj^e&H$`Llt@KRc0f-!oo-d;vl8
zNBAn5UW}L5z9)z)k=p4q+t$SkdVKQxj-bpKy?7@N^A^X-Q|x#jIyw#!Rgn2iR&1c+
zny00>)VHh;EQOmYS`U(soAsLHw0khZei=FDU~rXj<Vf!IVVMlfc`ALS*q=->F?G^N
zv^|anoseKh=cJKP52<W^g;L=<G!b^~nIdty-lH<1;qxTK1beE*Dsb}lj*gCxi;9a=
z`>j~(uF*KJU>kCE&1fC!e)Gn!tml{YkB>B+EvB=#ub-34IaGcuzhi_-+D$T!uSrv^
z_h|k+S;;N0tn4^jJjJf)HjWpF`<*nD^y|jU-?Dz49UL5-ot=$|QDCdYQi94>cd683
z(MNjU*|~~x23tB7OGQ5blT1hmV?u6na#A_^BDt?0Noa=Gs%4FhOK2%W0j0y#k(D)r
z<L%6*;;8$cypy_X)-=6*i9;XeHJ&PZ?{~xf1}p?$p8|F*E3>}j-jI%eu4*^Gpdfl?
zD<a2?<6*)+kgXy1hhPJ<nN==;d@={LdQs8lxLW_vP-7Y<84X$rX5;z0d=I$};#puO
z;BlNICZeGL=G|tgOvZfhx~Hed&x-BuU;U8vcP(sF+fA8+S##!37QP%;P*4yGg~$%W
zj8p8h_k*)@X7JJrdv;|6Z%@y5vDcucJwG@S<g&|p_*f2!a^}>jOZPovswF{XUOh<-
mr}wtEEc^$lm>C!@WWO+{PKc({8S&@<34%s-u*sviMgJR7i&DV=

diff --git a/tutorial/figures/wf_4.tikz b/tutorial/figures/wf_4.tikz
deleted file mode 100644
index 30f567d0b5..0000000000
--- a/tutorial/figures/wf_4.tikz
+++ /dev/null
@@ -1,27 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (-3.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_black}] (9) at (0, 1.8) {{\small $wf.x=3$}};
-		\node [style=none] (10) at (-2, -10.75) {};
-		\node [style=none] (11) at (2, -10.75) {};
-		\node [style=none] (12) at (0, -11.25) {{\small $wf.out=45$}};
-		\node [style=none] (13) at (-2, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (14) at (-2.25, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (15) at (3.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (16) at (2, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (17) at (3.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (18) at (0, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=9$};
-		\node [style=none] (19) at (0, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (15) to (18);
-		\draw [style={edge_lzinout}] (0) to (18);
-		\draw [style={edge_lzinout}] (9) to (15);
-		\draw [style={edge_lzinout}] (18) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_5.png b/tutorial/figures/wf_5.png
deleted file mode 100644
index 1f3335e933ff36fc0b20e644d253d97c39023230..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 13233
zcmbt)1yELDzvlrFknRo%=@Jl-E&%}n0cnu#Qo2h@T1r~FySqUeq#H!KyI~){dw1vi
zZtTvTeP@U{@0oL+{{JdiK~54Ci3kaTAk?=~;)>vJ76ic<Bf^6JEWL9`!JlWgQtEaP
zgpB?72L?(^CV-&l&|7g4W#{Dm6c;V*-p5B;glDQj!icL#B4{wL#k-&2Vvg0Mnzj}f
z3pCwcPh_6w-A|Zn?&ntDtIca@x~Uba6lR}8?-i7BB9(;eIT7KcL`9_#F+>jxyu7+T
zW_goPlm$1AAb1(lavZuGwtS!M+jBEv!+?XqG4u|sbwz=HQu-tlrRg2AaXAc>pPz5r
z$R^FCUIC|rP<Ese!Jha-p9)dg67E<wm>C1HN`sl{17oZ-R}yoSly1I9BtMnD1!v;@
z?WO964_3=9+QljnpZDqM=@SwXQc_a-`ufs5E)qo335*cn`#2~a-@Xl&%QavlAR{B=
z;^N9wcK{z_<Bd>4j*iYw)nbkFm3F_ZtgJD6-J`b0@d2iVRxcqsI=bi2b*D?TGqqj?
zi&I8P1<WJB`%y$m;ms##S`T<?n9NW$7Z%Dq$5?1|8kwD~&(6*!_xoJGa3qqgxNXmC
zcfGy7UhVbhiR2FpVIabZrrRDY)Nim`>oAoY6;AH7KHMNf!p|{Oiqv2rI%Z~OCZ>fd
zvuNSxSC_4i_v7+HF3!#b?5Edv2<T*p{-Vt~BZlnx%I1ga^>J}=F)=vY+}u%8oHk4R
zG|_#VrzV5nF^P!gs7&148YMDa5)GXBm%6*NM@kzS8WIx|hm&7dx}0tt9oa^Yc!-ya
zm)k7Vm79)beEarozSf4gtHohAE;pAJYFk_sU}BP`j3VepLqgiw+sjhS9}#-I8%HrV
zG;BJb(j-7JKHV7NA+f%{Ip3Ww%^fop=n8ngb$5MwAG&$$eAnQxTQ(!uAm$_d94q+l
z{(g6N*N8pA&(F_nQ!qm<V+Iowb9i{z#l=M_M-~PW#!!C$UT+l3uU+;#n@_v0{m4gE
zReS=1D^3eAATM9OBtVfURzddf*xE9M+HMb94>vcbsc7N-X3O;a%mfkO{(c4%Us;T#
z3fx}o^VzO=n>kA0$TXSUUR_ny*2c%jgKvnTHseZMr0%*;YbeY5<!YLm^9R?r`17Ez
z&!0n(f{u<HH5RIerGi3aJ^cRm_I7UsIX782DPIj3yyoUbrk<gY7d4g;6y29KW(t}Q
zc_$_kef;<l)(3(j`wTBGE(F-8r>0o68_vvfuG~E(B_&NwP4)Ej#Kpg)W4E}R8jFgG
zMkHgvdED;TN@t&#<ycx-)mkskWfHS8Gw*xOjE(8p*a#U9eiupE+|p0ipP!o}vT<X=
z8=$jwbab?|w7g8#FR#nY>>PCrQ&v^|*yw0A5Xa0za?llweQ<E#>FLQ&79p4W1WHUw
zx>d&UYqwl(@yIKop{CALX6Q7@R&;rMxL5t?G09H8sF61l6%_>*D?Y1ERdsb(SlH0d
zpHgq%j+t`4fB!x_Jbck^YI4&5%a@tiSqFI>M7Y@4Sn2Fv?d^I!p@ddeR)mCv<Q`{Z
ztgUz7Qd7}HMmzkGht_w_w#Si?kRI+%<td|nuG*>;YfLtdlwq(P3Ci{Ave5{Ql;q_d
zou10b$<ahffwps$8c?-=dm*#ZJQv3!OpNlm-W@a<^rFuYtW|7lr=lkoxbwrqEL>c1
z;8GIz$j}h#->b;YCg_OpelC}bP85h0gXxh*`o+xiP{CPbnRWU505}FNU*T>EjJz2{
z*oU{c1Qz5T7y|jQ?Oi%$_;IeQ&2y&Q;m;MyG5`5KTw;;XmBT%c?;cc!*RvbgThW*m
zD5qIST6>*)#Pt^D<v$jA{?9|f&HsKh`FsugFP`*2`0|TGkX5-2JO9v2DU)C{O`n<V
zq;aL`Z0T!7gRlNt{Y&A5bo|QSt1P`yy>+iItIu%J){8&W%kR7#6Du5rg~+sB;Y1>T
z$Ub+a(>S_^MR1yNG}&5JbJDug<~+%@=G6bO)kxW63D5kMOCRmRXPem#=Yg9-VB-6v
zR7l3qoWQ{BG9eUssxH@N2lL5oji1&9?@`(Eb+|)dbnkJ(!Fa2`nPx8Phwat0czR}H
z-ye<3%ML$yCvv85MlMTR-=|%<>0hG!Ci>L9{WZ0lO}FQk12G)Vz&GRF`*V{Io%;dt
zBdrT6^C~Hdq?H^SwcD-5L)szjdJvQmm{EakG+}FQXI5!aMGNVQ9j^)SJ9jr7#R_oG
z5{|x9fe(ouc<J79KW5d5fKbpG!>rU`vW9<poqgx1a@$n8@gcRC+U1*;pVl~6PV={u
zuM}c7y$$2aGdPW#$4FNvD%aJ;(-2hkjI;H%Cs{N<j@8%x%Gf=U3mLCgILNeavTbN{
zN169h>at{mMbl(HXqqa(RmZRU%L}gtIBjiT7NfwE+V9KH5wT*BWi@%Fv=~(!3giX_
zVMG+#YoFqpFg!<OxXStAmRcDyBAt{ifQ09+q;O-gZA-H2RZTr6_TIp8?fkMt3?nAy
z`^4<TYpLGnh`$P|dUHrQ$O??in{^)P&fhEPMN_=dVm!dIzd!CE?`dFoENZ$L{($If
zUNW(8vo&QqT<9fhHtWpS)bwG=y>-^9hIPw=xl*LYG9HR=uy6?Ffrq?RyONxA$sq47
z@jV@>{%GD`sg|VBcKUDf5Dx<n0U8%JRyHvm6c}jhm1_~IBU?CXg^`jdol$H2Qx+6B
z=;s&qZ}@MQ7@Wv%BMuq@4J63nj9};BG(giXIc+*sjcEH}Q_<TnZGRJ$TSOMhc+0d;
zKaH}Hs8Oj^^rer%kY082A0y6$fg%*i-#uLZQ88wG@r6C>l!!VfXi;(Ogzh}*$)rf>
zr0R<gVaNOR*TEK%yUCBkgrW4(Y}s7RaV}BYfA*C<^5@!zD0p7ZTv^5c80eeNcY8oC
z)zMwn!zMx0$aXw<=p|me$2*-*<g+-cxq=}*^%`D&eC-7Z51YKccautcySZW42&Y{l
zQZh+DsgcdK7hC2@!f_*fLak>@pdK<9>3MnEs7AcEjvBvDe-RSF!bNTVK_fvS2SaGd
zRbeteBR~lTa@K4rling*6`TOAkGo~}+-aEj(Jey2WW4b0lQFkoa{RI6L^)>nXD^d^
z-g!qZ2aT1d)oQ))UEsoq5D&RE{!NcQDKW-?)hwMc!vFA$@a>8V`7@hlyj$(snJ$r2
ze{t}tUJ9*LHS?KoSB+Dp(=*%GyxVyqE6e(xe>=Z4L}uM8fj)pLLqx$##K&S&r{z`Y
znQKd%5d)8i1B%_y8Z6{)jDpeoxTjaI_ja-TE+xJ=V@NG<2J)VmP_EN<W{`<v@|pJ+
z@%aHmg!JzxW)PlcdfTb9{L)cepJieqi36_;IZ9&aB+BUE@c#VL)2C!QI@+kHSpsg-
z!zsvJt7m9vbEPebb-E&Jb|arw97pe-D_d3*U3Q{l_C_qn3|M`a-JDQv{Q?)Blmq|}
z*;0d%Oi@yj{%>*21?xn@FOF-lJ_2Y6QGMp<=<4q7N;;_~dg+0yjJ(?Yx>A)DO{?d&
z)Xq~HHR7V)&r#s?%G3};{HrujAOe0JdCGiE&3#MDGYmNJi!zE74#uYqCd5BaxxUmU
zSLODP%Dd-VynI%={2`dX)v=ShiR?}cZQb}j-CnT6id^=RQ|Q0^v^!NXI$C4532U=_
z0l?7by%{;YkRruZazT3vEC=O+yA-GXFgzS2{-pi0ox)dasojXjMZp4}G89S?0@2<D
z1!1h&-ek+D_eKN;1k}JlaV$pH*KdFSb`D7Py2B(PAKABB{r$!ZKGSY2BjEkHo3b<f
z;Vd@o*D|%dsu(0lx03V|&wXbg3*`M<|FW(w=V4%}QPPNATkyW>XODysQA;?>$d4H{
zCLH|UR)+!2%=X{Mx(8Z1#yQ-OaCXP++|CXC&(%nFj%J~UtCC`?k?f&V)Kn1wrtLOt
z50|oyjc;TVeqrJF4vk#ac`Xl(CJ3QM{bXStve}&igMa|lIgfc&C6fxIzAL}K<85wk
zJXknBJC0JM>-UEGmc0<d$XU6J*<_<dM%OUwl%;t-Q|ouY>ABQv>QU_Pe2_4qEw>q;
z8m#0J=BUtxX}mQNTyDRTZOZAnUZ{sC-`_4eVe1>XVACSCKJe}=3G6hxDH}wE5xX((
z8{Ml(W+B1*l^<=+s(d0$8?q+JmjBNs`Cketf^fca#jItpIBYGI@k&ApF*h<m`vA+^
z^WI<V&%b;3j?Zzgtg_N?o_<_J^Fk@Vq-1z-F!`l{gtPNi!G}UJe&@&-&bBE_JT!(2
zB>>{7vECL=!a{5WD8b?t7sGez7@90zP09fP>1^MGydlKW(b2iRJj_*~gCKxqaga8L
zQ!H54%5)bm_x>;VTOdiN6hEZ<p5MQ!vXUxF%ENOKd?qIBHwF`ilDGo{FBiCm8vs(_
zU}s-)-DO6B2e90j1g+NdA9#A)w2Dk0z}-K8{&?;=yScIIG}Voi!om7TQJ-91mX?;r
z_Zgz0mF+*gb}!;_PS4JM!w?G(2bVXwGyT!a<MLn;AiGzuUI9GF#kGNcyj*D#p;0Vo
zyCQs8I=bSI+52B1-WWM~c_Gicx?|hDnR3wB{r!F8muSc;3t@nJ05~{0I@;0E5fp^T
zgog~({ckJ_>$3u|=RK#Om)9dMqso~S(?0{*(BQ^(byyXqi(qWpg~i4DyE|uovJ^Q4
zh?AR}F}8o{wHfDJiFRXvxex^fU`vF8;3639)|;KexYihXA+=)xK1RmE;$qa0Zh-v`
z<3D;nLqiLAZrbkq)OaHE$B!T7<zNm!^CXv*l`VM$z*y9qXqL~!`Bev5bwA;ZN%#F%
zY^K6N6gck>Q}%Vhl$4p6o!hNl=alHnEfOlyE(UQo)4wdW{|F8L+b=tiy2#{A+ami#
zd3S?E*a&6t8~4O#*U#h0vjy4Hi^>$gH*meOu!(#5^q0^Fxna`b+LmPvnZaN)wT78X
z`2}<xyrK_@6=ss#W513Wdn|A@AaBv4I<Gs=>%;Xv8=CkB#W}u8w=aCJLd{EbYZq8Q
zKQ;2zBU;_~6oQ7I&`tg%Cqw`#On8d26Z;ru1R>PR<xXK>XM)%B*|JldO~)e^1f3_G
zr@TwSo|2W~PjEi<OKLu~L#|s=LRiYSVKXUK+TO95;&b6c?G2YJHqbVS+BW3SF;QCj
zJ(2I=bg`Ts@V@(%zT4OPtXi7;HO<(A;Rn8EzQHopj)k5^2YLGI{4Yr(DYxBP-|)Bl
zTT7S(8+fb?G$!WgM*31A$fc0~P&hTr@7>~L11O{dMdu&!AO)8k#o2Us=T*I#uWTfk
zCU;Jl0ywX)dFc6ETlV^f)@}xmUXsN<>gb%S;(EZ7+JvOF81O>EG%>i3YI|g>!>p?a
zEQnbnS*Ib_cZ!~Tg&s?)r-?{OUt&9giD?-4V$dHvpRdbUjGOym`vw2;+It1N{o~H>
zI)c<&_$<ftO;W~*rICTk+Q8<=DTXTUrPkw)OI8T_j-L?grSfh2Pt6?H^z&(2yyrjv
z9Q5Lp+dU+SUAzc<__(!rcsMt6>3&Ko+10%tLOdGOAVXS37nCqa{Vj-jojE}K(d7Zn
zI%2xKEO#clNh)<LwK<loj0tKJ__gR%WAi5|Y7rS=h7Ho6ZfiHhAKly+J85dY`8;mz
z*YtjdP#A266*sEjKkTeID6_P9ep-z{)`r!hTccBVtK8z)hLiNw%+qx9;Ddf_NQc=J
zu|jQ*q0A2auWUth{}f1#h9r;J{j~pl)o%;6MMYA<m(vy{wl%fELAED6a9Hh;9B195
zzp1+4?`DJ=y>{Z!X4XDYc^xH=;x!aAsV$4yn4i}-nz(B-#d@XZa}_n?un_GfP^_4A
z`{ux#IcY@-f`nazq-ajQI=581!$6<QllNq}Hq2P8&@`^Z%@BRP$#iYMi^QD=oopR=
zmno{HskffhW>;@l3!sR)O1*gBr@4*+H(NhL$UY!mkyrhG!M#L26g?|2i$7n+8yWh+
zk~z$}gboQmOOHuoLD#}SgiHs`lN*c*zEDw&_wDgn-Y_-9&~{_mURYm1P_sltbvrCH
zGrMP$8%MZc7hw-78C+diNu|5VEl~+ARrpxHW%d_^t8Dj(w`8uxE!7RNL=sOSscXd#
zxzf2)V;QD2dGJu%{$it3p3$E6o_}mdO+(F;WHE2`us}!3)>&3%$M5pc*C?&dtz=$k
z6R9#Iy2mp)cQnl^toVKNYF4h*ORs*${y8?B%m8caC7(fP^ORo}!mD_4?jJA%aSs|q
zO`J1hony8?8Gqj&-;sA9t%CLQ`LwPAPkmvj?f~A!$pr)My6Xypu3osyvE=6G<!{+y
zz6zBllx){!+hK9g)J`gs&YRxK<bFdu$k2uKsaow!Aq#^s2J3|f4XKIWuIb*E`N22a
z7iS6fkoOm=x1Ln9qj;od;jdK9ajcN6$+#a*o%u1*A;`6@r4wMw{qud^>Tp?FK3ATC
zY;%zW;f|=QuB#QR<G~PFL|@9~P&n5gaRt3>vg%NW=rUq`<zx7x`(r^?!8O7rdbQ>K
zkZXd%ROD>gpV}Al1C{8NhkzolUh@<Lk$p8EH`n&l`jAp^G~M~G(MofRomiZfa+lX)
zDzH+PUWT%QT}>b$Y${wcFG(|RzU}&^TeLg1!sTn9QFD%~%e!;-OpXzhIKg~heTn}E
z1i<_ftS^Q!A<rLAD3Xaf6hyB-pt(+KoWdrEOZIxyRP0p$>&yj?n`ELv#He=^)HfDD
zRKM{nQO5YVHz;_~8SJ0F!o%jM!S0`Lh<7FgE*~nYOvRd2mX${hcP%ZJl0xVsc=+m5
z7=jCUvo*A+$Z8EqUVPWTGq=w`EsQR7>E<srEnP8cC!A;hEfi8(uQ)zCVHSh}_v8)n
zZ^Sw>cxL9g$mjw3s~T@2iS<99P<%Ky+P`EI7k(@FEI8ov92^!+=VQ#+OnF%h&m=#a
zFVPzXR$P19?F1+z`hpXPG>o)||N7&m>Vx{M$tS=er&@{<8DF`kJWS`eiegaX4-Ck~
z5po>KT*p5;)JxJoQ~i7#7V^uOe!}AQ!1CrpiK&vkQ)%?H%VDh>QGHM3-#2_JCh&c(
z7khO0cssu$_Lr2VOj98CFQll)zc=~W*SBtHIkGjrU*w?<$`QBw1H}~rqHkBV{)gNh
z!-cnqzG~cR+)j&}#)1NmRT<i2xunrAvyEh~6(fQH<-AEcUwi`Fo+nNW3(--;1Zbji
zETxU9%uA5UKZTACPVP2t99ZY&tMpbngmq`f0wU2Ao${@EXOQ~g05P`~j87Q?-1mC;
z!m8LBRTFb#@6giMHV2LboWlWw0T%&|d?t;c)--s%;vEYB3brPtMU(@lqx}hQxf&B*
z#D0nO<5<90Qby&aky6ilCayV*Ut$ZeB{?!{TL)WGb`$;8ys>B|eo1A<zEyAghmDCJ
zgaSfc_>d|iPhHSTzsHwn9uAjzfi40*&r;kx;l)*1D$V~Z%Ssws<rxK{v`*|`Lp%FW
z(2JfQ>0<%Sm@3b}5qbL6<&5yG{F%W!4*g*L%&`Cg1xLDI>faMixoG2Pyxi7L7iPUA
zUwojSznuxSl~U6mkl1c-dU86bk6<;62>ajiLPRW0s&Pa{|3#%b7p-O$^mw66bl)y`
z2u#q=2hREDNB*(+2W0igwUU`%{Y&!MKO1@_qC!7!s4a}<q{X&iJ_{$$uqW(I^eeGE
zu&|OjV@60$W%`(?SSHA-sHpVlmw)~Gm4T7*aG~BnDvj5npt6z!^6u83oDxLyke8J`
zJ3C7j^l&va{4-N-KuY4;Gs#cPucU8LJ(rP@VF4uYI$IGsoSv>OxTjBnB+JLg#}Io{
zrO2Bi$AlNst)H%-rlb^|mIhGd)%rkuZ*Om4U{XcokM5JuAZ>N^>$M0WAPkO#;IoE*
z{fdNwLLJ@r1m6uwG#zNCOAQVo1MAicb)SY3U!lNvx({~*ID`~Wnn!>8R%5d)mphKn
zqD6p<>)&}E`ivY+I=dn-kM6|_f8pmO0<M2iwK1pQjauOhd_t|&JeSAKS+-34#kfq;
z({u&rjX^>m;WD?&0{~Ffwto&Ybj!)eXg0f^1GO3(8yjeulEpfif8M@*3smV$mD2h$
z_HtrkV&Dh7h?VBHn&bRcd~H@XyC)Wi_U6r-6n>Xq4L$o)oPLg1N2`6&w7uQk`}4Kv
zEZHznOG^t->Cev39qjF8Wn}yYP_fIx<CvrS@R&8Iqof@7=Uye=J3dNLe*;5t<&Up(
zb<lWN^qa-{DRX0a`Pj$^kmCV4-LE784>M%HPO@oP{ag=PMHz)??F8TROViQX+FD=#
zH;}-|v9MrkS>>~{vi|gvd%0g7r6<kXss@w2XKFAajuEuqihRL{3Vr8yIT=pj6B84&
zv$I>h$QEL%HOkG-F4m~t8BG`KOh6`n_eFHo>)|vFSP3C1ZsiK)VODb*F<j51q-v}e
zH53)~6UGbUX2Lo%s<f=BFnFqJ(Jde;n&@S($9tg050I3qYYpH9iz_pn1MN3+A!j5N
zwZVPXrte#T>c`@jSwGjgoSRaGx9aDHz1b25{SeT(I62kkVnU3nEsIt7+%EROP&l8t
z9mX<R^hDU~rYb7`8D2}sP?3`Qd9pr$&#YlcGd&n!6nqbc3UD0RRDQy^IV;PDvA)Gt
zo14Qte`I`V>TjKa=;-tGcKRavpm*BMt`7Ti)nd#ubLN`b`-A#XFc1T7N%MW5ukz>D
zI@zu#qe`W{_KsK+JH7PguWH<ksia>V05a=XlPhINi@_t6{e>b81!{EMzd0M12W#OS
z9iOOLKXsZ)A$ayVpdn@*Pqup`PG&3D=y2Z1%2uj`Z0}U`4V+#bb$;s*o%{ZBXV0?q
z$B*#!f!(=zs|b>3t#0u(PByDu!5O}=5gaBxZ?nHFd$lfg{!lQD=-j42oF5fF*r6QV
zR>XQMpj--k0l?xKb=!TxPC-tPt&WNN+y9oU-yt~yOW*nHUvR};ZbenLdP$1Ha=$Fs
zVXAq&-VEAI+muaPYO*)GpRE*e73i5&ueVTrhIh-O;C^$q5zBb1gBvRsKb$ZQ2YqLM
zgF!xminztLpXKi1Va5rj`kPtzQ23jm#hIBaz#|17?@nnn+g6{uxm8EV$FGidzj^6s
z$p`-g2GY`wHGd_S-$h(8J1e06ELND{m>X`%^LC$m$ytmhI?Vo!Upr-&PL=5xSg1mS
zL6nk`VaFWsPhRs9z43=2-jwZ-QHIzYK4S}uMuXmP;351nL^g)={JZU9rPuR@JPpd_
z0~V0Fp<2aGlCD@r&wG>Iv;+>52QVFRqjjtJx6PMJZo9>`0cPU4om=Pf!*5D^ch0{*
zK3<bsC5paxbQC1h7INRpnAC5G?I7TopV`vZiV1l3io{y&RE~#anC*fj9J5ll|8tyi
zR(bhxo6nO{V8q#m8XCEn7>*_-?HjR+N=e<4dxbJG+F4jtQ(-x1Fkg%a`T2|TMg3eF
zSK=}bof|3TpzSTJjBeA9T3p1Pon4}g^02kN&6e?e^M*_`U4X3g@-iNR78cjHw^3N)
zaR_In(@`wc8OX`g-X(GEFVsg1v#qNp*L%A(*n{Z?+_*#?CmV}43L_<XVo}nHN?cL#
z*F?V3vdd;lR7oEB3XW#s<lM~6-Tmb<9<CQ?A@w)leG0i>VMvg#G@0Pz;e~%@VhaW5
zX|)FG;TNK0{lnQxlbf?`HeR-VY8skUo=>n62)fwdF~%k)n$As8E(vUU9rbpby7mxP
zd4lXl@@u=50#dx6h7}5QUyc#DE%lch94vl!1=~)d;g1MhYN@E;X;pX9Ty%%vV@?JV
z2Ze?<eO^cUd&yBw4lT6wsLek&cN1)L@EEf4H<a&npI6|Oz7z(l0@*WE@F)nJhWz{z
z?oN^e)NE`RB{NFSlyoO2CmETUdikzLdCCRAPrSXp2G-y+I9PtN$94pA6fYwLbaeCt
zS@?kv(W9W^F;n<qIBwpQaM5&A&cvLYoS>i}(4HhC)QGLEt-CvSwIxb#$-SByu0n#8
zp;Q6BmoG7`SqI_yFZVJsC{<NeIfzKc5|Dz$^_P0zn4d>>;t%=05eFh9UWmi?uk53v
zqp2yCFbQm6aS;;EQUUGcU~7xjG*XrZJJ_QO2YAh9)f!0tidtGE*w`EfJt%e!f;(+g
zHT4hG>P%DkAKgE#w87xx<L4{i%vqFzsV;V^DJUoaMbvXoHi6yfS5|7$9VX(J*LE8O
za6nqoskKf47Nt>3Ik(gb=DZdRv1B+&0-sY!NXS2|;hFh)U~!%ebA9?Pj-6wC?A%mN
z&&R_vYFbsOTH11dG2eMcD6tYD!a*1%1#CflY-|G_CRSE-WaLi$Ax8<&3E<uJh=CRf
zrr7}T3X&g41=U}TiEP6=d1P}Q>~|(%g>?wRR{fg=xZ+<LYiVk7|CRL?)Y<Cl$@%$4
zx8X*o!=)ydN^+&+<KyPrM@H3>!32)pI`@2KhW*NUHkdlfG0=A4H5U|^e@7Q>YHC7+
z^VLhf1C~0diA^W{jP>>PN;zi>wGRC;^v&1^f9f|=IULvA1=D)h_5tAFLF+{0*9VP3
zSq470Iyh(3ydHoHYi48f*w0vsgNqBCaGuw%QI~n36;L~+<mC@{b}GutS5L1WZ<ilU
zIp>as@bK|%Kr^o#Wua7Wu})F{LvT=RsiN`$UGV3?fS*wVPAW{IpC2fP984cN<*clj
zwHQs?scMpvl0M;ji33T{cqs9y>VDb%+1IczTqOS|n{G8Lr`Kyh-z{{U>C$O&e;wWT
zrO>gCj+Hg=Q!(yLS9nB3tJ5JF*aL4QBqYG1_{VMl^$WlPhXx8(exqifGcv>?t+}d~
z1&8&neRMzW2F`IE34up{f4`3F_6q`1Z#!%E-KpZIPoMtXt006>q+SUxfv|$(Hdkc^
zG*0RDG93?<d}ZK=7Z(?AoD}exS0@gvC%y=hri=oy0_U{Ij%#*7ypTy#PH;nNYAOwJ
zy~FMly3pO|)RgfOqC~Tf7dQz30(@!Eqt##!bWftRy6+Ow($WA>fKz5@J^fkRU65U8
z0IJDwGGVy?_30)yB3z|SaeQ*}pmC*YsSYV2VZB~wz(=q9YT$<(TJWYE?9En!W^-f)
z(m<6nDDVayU!HYdw}W^FNE-mXaBvG3TG^Q_><Rqr%%3WqjkZ~xvaqlq;C9j0V$FQl
zjttfYzw23EUpFHoV{>yeNNoUEIkb)iCjxr0NIq2G*jPDhIbO7F-w;hJ?|IaYV0<!c
zzk<$V$VRZVv?NP2Ue!AfmN)Rnz3$KB8ynr^<c4dk=B20=FHu~Zb(rujPi;qrhf5?e
zQQ+71_nG4d!sr$AC;q(DwYEN(w`oOntAvkx&IPUf>5B$$5Om!8{_On~E-vn;PoEf7
ziXaG}7MXaKb2YcObT~A$w3i0$^Yd=Uzq<vnR7<oHzI_8LyHuBrAYEbR*Dw9Ky9mYn
zyPMt8#)bx2Itxc8QA?n3>vw+z@R?bw&Q|JaxBknBUXBt!`uG7igvfDIPV5Xg1AYA?
z=R0r=laP>r(ocvI05U5Dm{6O%(7pZ5nVF2~RGTQ^0q(%<2HBOdu`w|u*}{^NoH5g$
z*sa~2osGY$bbJE>hjydm(3ji~vNTH1F;MJcxjFRd_1BKCK*y|SE7k#?By=}n!3y^E
z^+icjXNr@e-XZN}#Xyux<{29im|tFAw#DC)Gcd?hpyLbzLv`)`0MH|X8#@RO#YnIF
zJV5}<B|zC+yc`EO49NH_vi}f`uL4ks;nly$<qEl;AwoZ<cSk_Z#C)<~$p#ik*`Q6R
zlL^G!)>Sn%L|uYj4|l)2LjsAAZ@ck7lJMI9%+O&dD?-()(y$U2?~-9{=Dd1^E}z2t
zCS9RRzr3}z^<{wj6*x;mLs8fhiWKv;w6(FZumY6%nVH`);dM50DcUf}SVG=X)JUkP
z_a_6a#lK&T2)^8V=-fPIHhcm@btGSK);2W6{QC8^(BpN4IHk`#zLG9`!bgwuNpLnX
zy))DG(SHIN4=01!tZ>*>DIC|Nj3VK&{ZUsp!|tS8Ene>9u)~al1fm*=-@fU;_p3Ni
zTM%gEQ>miLO}~_rldGB0R`u}@K^?uX9Qv9af(n^hS|+m_^#cGK$eX~6v}NA_&X4KI
zNh45o>wdL?vb?CrMu3Wns$YH;EiXuDj1uhvgluqF0eQSMFR#o!+vh`-C6(9Raqm>I
zCLkej(_GjR_Pp9)(f-x=*ZXmi_iR!FUIqW-Wm*97nwV_nyh~b1bkM7u4MZaa8=cqX
zB+H+Fn21`1rpBkLs%o-ObtFy5E5<1W1IZukaZE(Ge<D57U`92Hx#;Q5=4-6d)6;EQ
zt~aD=KW7g99VfdH0TZ7}1HX2SZZ6$Ocfe8Xc|BG;{6V;7!)oha>Da_KFEMoZUA%cI
zBO@b#U>@#o0nMVKq=bF)B#;B03I_=QjbhE(I<14AFyiSVb%XL~eX-w!nDgE$h0F{L
z4S**BRR2X(PgYh|K>;IH8pO2rbJM1`?Lle>*bn|4fXpqnc<^y?IbNTvgMws?E*Tha
zBE5G2fXmIz4Zst=zOaI6X<)Xb&{0s%E-w)v9DLx&fcI1w4fI5i3jwbA^XJdVNDRj2
z7wA7Z7%#?0&8vZd6nKY5>WkLCKVWL`l*4r6DcGz8C?+c?wNz~0Jmpa+{}e3wZ+ZOR
z)XBen8I&Gu#f;uMbU>R$TqGi8Qy*`Ns2`s~*Vy!Mk~twswHc<))|loWh!h?70`>d5
z+^H0|YpvCEQM*YC$AIS-_t=+y@lP#c=T;};Z{L*skYyu5exi>j)VTKh@VCHzAD;ID
zzxCLvV9h5Wj2e=EzD({Ep_<mxurs@I94_Utx#L$WH)3Yz$0R>;Z@Y@W)uAwF6Uddz
zE^Jjl{9~2+ZtBKRSm>Si-=N2X^IQECjoyY~%JDvrRMyh(n=i{Zkp!Cwk2JQcZ*qKT
zKtjUPn*0fo&sn5K!NDJgomZ}6NO;f>Qzaa7`iI-c2Y9GzvS!^Y79F~>y0Pg={8N0=
z^u&b=jmtrG*OfT-nGw*j3!)1-ga-fo`3ymWA%lbH96(cpfk6NLV?`nF3NiHyw}cqh
z;&+7~-YPFL2U&F03N<XA9<I&rlz8nm@yiMwKG<F^3~Z96da2pf0|B>RcTy|=?fmx~
zORu{M-85^EeL_m&&lCuA0Z9twAY7|zD}lYgrV6xl@u^H-NkmCeU$N&R6!<8(`cEO~
zmx#;bKq0@T`iaup<0$=3!o~a5lGV^Er2R=|RaB$b^~t_A$hL4Kv=QUC;)yazcCCZO
zEovz(^x8BrFp#t-15jP-EAz1-TbE9w&PSg*iR5b5fmHnwS<fakwj~84p!%Z^3qa6B
z)?{Rp6y$x(8qvGL79a~W%5V669CI9|pA-%oSpT!$Z%tv{!9Won^aN7QRhFM)dj{$9
z^~CX}64gCt`}|>KXb=dln|DrfHUk0#;c5Mj>oZ@<K~y8TDFsEKSR(zI9ExYmO`hMP
zh+Pg0bYriXJGHIM>$|pAtSI&og;`LMq?)Cm*6j|fWiyKwIajGOpY{G+aXl^8^Vrj|
z#1R6>@Sp7jAhF?EeSKC)1F|GAP%=N7&siOw1PRq;$U*}7U=`{3X$pc-BfFKs++0(&
z8h?$<==sq?=g$vOA|bv7N(I5x84@L!(?LKsg1oV0%k65C>Z~)4&2?cQ78n-rII3_M
zXa)D!-Q*e;3X*%Ap>L_Lnx)!#i(s@z_*{T`{VlLUAjpBx0W=SSq!Im7hAxuUa^ngp
zNU7IlP{SfT0^g;*i9gBu9M#l#EK;+#dS$k2x%+3|a8uu;DHom={t5IYR`gQJNi1`3
z+)5<Do6BcPdFD)QOtGbx8Xc(mMOYVkzM5_4sT)><`525~`Ji~c(xOly*sH9ZeK@^C
zm1~e}ARZ0^x1{VNLwR5e5%13TTRw$^d8HP!Ye)?&NR|mKfI_%PwNUQN1pQc5dE$YW
zvLaPxSMGO)5hZK5S=OBEMjQ%3JoO}Lgn|-O5l&cbzspf;iK>u_3zQ~bZ0(qCA!=cm
z8ax`JZv30Afbz%=d7lk!*BEM6uoC*U=QU1PIaqZtr0ZlxES)*O_QF)k+EIRm%W3w9
z2+^0H)(sW{X^@7*Mry5R9yHC3q8B9>V9W#_H?CF@1>$)*XXQH+fCJzvcd}=?M|V>~
zXKj-#QKGk~o6q|Jths=LTJ%~95RKw(-~;g<2&z_Qro)!v!Ac__Z(`Qzh@x(dB6-l@
zfrMvsEDNou#`_G(E1EudK3;kJHTw$rn<Z>apM-Pv0@?a2*Hi8Y;zt+$)F1>15&&VI
zfj1`?H;yS9k~z_&0wfdyUCb-y4V>Wz;o+Q;P+PfKFK{8cewS0rD|Qyc7i-Pi7V24c
zsCCA6{Vv-hsZq(dGO8)aV#vUbVh@LfOk1XlrnjmYiY<OH0(<I7)W1u*R0eIyN9@!>
zm%hzZ`w>ssk4%%d#0|AghHfxwNU0HmtFN9>J!#!!H#&{1B@BFOaf~f7TK@^||2xR{
zAHszH>KJz+9y|cg#O4c=(7ZdW2fJt-X6<CO&)>A6(>rFoDq_ihgcU*APz#&kO(_A%
zg|89>00i4Mj$-d(Bn=s}s#j3Ie(kc}A8X86s6Yoose`7YQUDNGlr|gl5B~fKP$(;q
zh(J*_8A`0SA?I&ZDiYfR!UnIP;8I^7JvDV#sPVG%S{MK$Nn<}?Vx_B%2Jo77Y-Hav
z#IE&(tsMgi;_&0+%`{LHEia@I{2ca3-9aJ&Xfz2<2Cl^_Zs4xJj3Sf^^$tk6b{m8F
zMMZn5bzYATZ=-1vnoB5P<Ofvfa5SvQk^9W6HT*@#1pG%f!Do760&urya8HVCL8`T2
zd^<D{pmUmNf!7l|uh>yRmPN7Jrv}85id8IZOqPHBVlRrmrd?lOx944)oUFc7<xN3b
zB7Tj+d<#GozylyEzB!V{trY`U3b~*=4-bzsXeb~gK!xlX?C$Q4XZ>i*MsRt!e0g;A
zW6acJ?(Tg0<G{cGt$gZVqE%N{S8XvpH8GLQ>+p5RxKyK>fr0`Civ0X?eI?Pa_3mci
zySf37x7}8>SSnYli_=LDe7J*?)1mdd+;Kp_J>mVRvHAepb!w2yZM5J11xD=dXtk5<
z<Nd?!;q2@zK!t$2rg`3&sj1EUVEsNzU{xL~ZS>|%H_-K3uQ!qa^8;<z*#Y5dOVBq+
z4XBNqX<kbLkH4~IPESsZM^c*sgwCCH-%N4BLFxw6hy<zCf6gu}++C=*lTQ=8pEXHq
zKJFm~QVD$d$cr?$RUy`+ug+h&y5ZPXzy9uzldmmuv(UEjv*fxhEN$7@Wb*a%TlTnI
zT-xppC)KPiLHG0V@j-#7VrR#K+H~3QShUo%wXIA{rsZ*|I_Ov{rWY1~un+RQ0CG>7
zzk(AHx;qlHv@BZH1lh$gN%C_#c7P(OB*XcKbR{I<qogd&%wCd!X@~W(1v(0#c671*
zfNd@`yG`pRNN3~W;B0X=C_T&lrb0bCKd-8+{QY>s+`<A#$xfY{BZ9X~6cp(rmRP}X
zP-IMuVNU@<pXqX?8E0Zh$UweQu8!xm5fBI=VPj)sclV}MO`7P}R&!Nkk0Bt%3^<WI
z$JHg!RF684l^G^&)joX4Rw)D#ZgL_b*Xt7_hFEhtO?7o3S7c^pmOJlRsD3=Xstp8$
z)8+P8rep+*PLmo)_fuo}i>8m6Qey>c6i@A*1Jz^0mW-8V|IZ&o8=H@+)4i0lRH*!!
z$9zr)drQspN7rCFK>(iH9mHo2#{|HF0(}O0RBl2+X=y}Q*efzJAy4<IBK3!d2T)U!
zlR^BR@D~RM2T1DsbglwAMI)b@92<>`k002sJ7Mks5IKOoPDxC779eXhI(|4CP4jN9
z(nS6eCq-`a;K2HhB0e_u1rAaKDIb^DgF82O?P2TV!}Vqw_d)><lK*P_3^Z*D=PhZ8
zfDi}<AA;auVbVruqx&F8Fbyas=B5XKNk1heWl)z_5r+qe`^3fJb+*cYe7T89E`@-Q
z(BmA~8>Jt)NklRJY;3?o3JkHi@@YWNeJ>{VB(O7q-{teWcVVl6qpO{PZV~Vx-wzT>
zJXstatF}OAVI!+hD+2E^=m$JJRA357keL}7aZKv$)VIbksglV+2+Ea9N#u8_&?p9>
zdAWD*QrPr-B{FAQJQ_cpn?3>j!_MCR?$GOTUf_87@qs(A^R2u*0t7}DUGU0VIvXok
zJYC@mD1$tFe8d$XSLJ@Qom*)<1a=b<XaLYBUIBOy4ys5g>Ln2O2SyKA>6IoU2b*Mi
zKvX;gI~Djzk<!_JRbL=abar;Wp&SEFL{RTqwMMZT(^8|8O`6{|rpa00Ge42cvA=>z
z>9jnM^6KgctesLZnd}=lsi+JV8ysMLKq#$4@c3*{H$94h1Z^`jLNH@|8-&}Fcs@}s
e9Pm@!2?d1}OpsE)<^ePsdizFByhK#j_kRJ=S*B$G

diff --git a/tutorial/figures/wf_5.tikz b/tutorial/figures/wf_5.tikz
deleted file mode 100644
index f6625b1af6..0000000000
--- a/tutorial/figures/wf_5.tikz
+++ /dev/null
@@ -1,22 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={wf_black}] (0) at (0, -2) {\small \textcolor{blue}{wf2} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_black}] (9) at (0, 1.8) {{\small $wf.x=3$}};
-		\node [style=none] (10) at (-2, -10.75) {};
-		\node [style=none] (11) at (2, -10.75) {};
-		\node [style=none] (12) at (0, -11.25) {{\small $wf.out=45$}};
-		\node [style=none] (13) at (0, -0.25) {\tiny \textcolor{violet}{$x=wf2.x = wf.lzin.x$}};
-		\node [style=none] (14) at (0, -4.25) {\tiny \textcolor{violet}{$a=wf.wf2.lzout.out_s$} \\ \tiny \textcolor{violet}{$b=wf.wf2.lzout.out_p$}};
-		\node [style={nd_black}] (18) at (0, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=9$};
-		\node [style=none] (19) at (0, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (0) to (18);
-		\draw [style={edge_lzinout}] (18) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_6.png b/tutorial/figures/wf_6.png
deleted file mode 100644
index 0c42c2fb896af37d21e0cafb69439dd53e79f515..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 29683
zcmZU*Wk6QX*EM_yX^`%emXhw2lul`olm_W;kQR`V2BlL<8VTu=M!Gws`x$@#`~CEO
z0M2!tIWuQw_N>{n_S!_KD9NCs5Tig4gf1s5sRltXt>DKJ2^M_Qx(n%oKgf=<I?fP;
ziu3OW2Ktgg2tkyPoTRvhN5(;>yZ*$?<C8Kza!3`jcYe@|yrO`}wX$i=Qae?>!|&GK
z{ugcw^_RMJx^MOLF8sXh@a%dPo312uP+q(gL<_8<qWbhne40LcnS#PW0WJjdyK~la
z3K3b6ZD*~K?F;_(2NA^ZJca-<O3aVbn2MP&AK5!r9ScT+;sYL_k5~asR!p-&IkO}C
zFebVu1tSnVY@jxw3NO`{m9v|$kN8sKk&%%F1$2w{+m3vAczBD8i?_pg@OiYLi0|Jy
z%k0C2#+vGC)nj(~Z@<~v?-PC+8&fnlHO>F|!yTe5C)YnX*zEuGxH*^t16^EP++7{}
z|J{gK;zS6150|kVay}A__?(oKR6tPBQz)ywy?tq&g4cc_nursEK-uTW$XF<$jEs!_
zk2mx&()&c$cgOAY*b&sy(X-X2h>-F5&Nwr^{IO1uSS|csLClMI**>%Hd%SAJlOrP-
zcg=Nm+_bctn<++FqW*2Vub=>J<^mN4hR8SHerLT!gijfKm}!5Unwyh*5npdRmyn!%
zIlxqTj&=#2XuDeS4wgfL9jA88uy@X3XmUSZs<WBl;o^cIk*E7J%h9Z)&!1^%X&JjT
zG&B}|ICU*8wSD_0b$BW4efjn4S5iL5m7Vc?y?Wc-g9B0p3w?ckK2nSbN$jW|S6A0W
zI>kNiR0X<b&$F$=KMh#$L<%1;KN<!+D5kIf3`TU`9vL1P*>dEAfq{8jp+8q|N0O!x
z8yl+?CMPTF_~FABLHCOJ*4^FRM0#a%PK)TcIAuS-$BX@$KlAhY1_sro43YLrEjllg
zE)`rBn_QQcmRh&M73h}ReD68};kHLI&rVKuxY5G9bgE6H?CcKLdZI?NMV}wWP!>Gf
zD;UNiAdsQNL_tN(&(GIkPOhop<eC2042Ocb`DWF-F0UmLEUeYTLjyxYa(w))?QQqJ
z8*)>ne56Nz9NMR-<T))zqNAgIt`^<l;NZHtx~3}f7;caKpGcrrCfy%@{rVLhjW$)m
z4sYVK!ne3Zi5)>pOB){_?;#|@#^wNq5`tJ$N)LEoAwslYC#zlFOHmg@#|w>|zPB!r
zn1Mm2E>x`XayO=pV`6Gb)6ftDI=Q;Ky1ZO!^YtEmwLeq&bhDjZ-EPJ8MTLR%eLNNB
z1MFRTy{w`lI$hMw&5gLYI23SjaG+CT!3g&`IXRY)UE-#?xHv-c#rW<yqk6&p<J~b4
z5z*}4a1zs7k=q?=^H;c1{@1IBX$sSvJ=`|a=K@Ni-j@g9?nss}Dg-((YvQG@j+6Ap
z)ye5+CmMx_&)<!H2#S#WJvli!L&^Ye!j)q`|3XeqZl=<x-Q(0mQc}|1{s>e6W-Bu@
zGYMv3a4>~gC-44;!?Fl*O#QpAu(=vbQLpp&54RWL7-SNd8+9{=>M{7?UGLzm4?Wjo
zc+EKGKoNGPaTdLL2=aTp*#-vE75?1xT{4SaazcVc{`kPaKrDr5#TR9yZkiR_pLRq+
zUFZklSt7o-nS$<U4fkNV_}!n%pug}wUF!)&C9wXux;2~*s==XG(s=lg(-R`*0yp9y
z@%Sr&R-RnMhmer)eJ8g~sKn3pQ-ve}_}^>*1^lU5Sy}1nExW?d!;~1Pso~P659BN?
zwrZ^=xE8#h9v>zOl}YG~FlC=QoMIGT<-jmU=1K3^qJ&Do28!jXxcqoamnip5&D+~s
z=+S}Ak54I_5OH?I7M27HmxPh7d!xfi0ALatT2VS?=FSm<on65QJiG~U&I6rUz~p2=
zBE7ggYF|H$k4WF}Gkg1j5gd3EjU0Ok1lSZ*kq2D;A1C*w+JrlQ!m(kiwO07ZI52-t
zh`VyD*l%5)GoGA|3-c&Ae^Y}9oGJ02>HF6rpVyBKSp;8utQ<eTJb=lU*(X<iOK?5v
z55*xG`Vnz)2mV$Y`x8qJ_pGAubu=7l;cJATLV5;97|}<hgoF+fhk%DWn81^@mytok
z>EaG|4neN_0efxa^vXfXA~5FW#uwI~65%cn;TTX>D!yQ%!n9@E!9KWjR~W#l7s7gb
zLr_sETy^!zig?xgcvjWAdRPaCll{t^To~IwJhRac&u5oI2od?(k;h}(A7N8ig$WcP
zF%?WgQSx)4O2wDYu;tjECOdAk+>ZkOVQ5aTNEYTtez@LU%)|FKa5EKwVF;L*U`s+n
z_!t4R{_BASEi#D04{AMZN1iV8WLMfg?dXnJ8K*wk!6FpEt*r}`i4#-#6o?81?x6Ek
zR3o3i3P|ejpwAAFPw5CjHokUzWr3E;t9(_&V+-X=!?3ZPtiT|l!8^3wG<d2R1g^V$
zbP6~eqN~CZuZ}m7P{06~FGl$(5XKb;%sv9bq#_bLEYZLH1{2B5SWJ*c?`O#NGjU2S
z1bzRI7BSY8hT2*WPtUozxikT`JxZkCOH1~amfLG<u*)!*6R@s0e@O$y#-^q=4-d=T
z-pA=sVMp+h#(KUK>~;%iLWW_8{I1O`zdOK)i^7wxNQt?yxHv4@fLRLmit^x?VPRom
zS3%w18XtR1c+wA#j*eDVjQ3i^Y%z+`d17Q~);=^E8XCg;{@^Dj!j<AD#R#Iz%F5aj
zYJjRmz;b3t-GLxx-&&@mHvo2xdvQz@{w;E(ATC~By_o47hWV)}T3i&C+I6&QK5&P0
zb||N^vNA~yjYoBVZ*OmB=RIhwj1)8mADO4mN+6CYPmzB0EHY0bx2m)>N~sVhVyqC(
zgaJH@f)rF+SI5uKujA{E#>5DK=EH~Y12b^l8)A#K$W_&iadB~n=biAd;+B?$ig-l-
z@J3fuh+LT&e`41~Z{J58)$?N@*zAWHa3iOuwO%Ie9UR#1wWOl$d_f);RN*bhAF9II
zd#1AM(bU)o3iqu9Hd$q!cnIaHyx&T9AtZWF^?aNFltbU7Bde&WC>V*FgE8Qw@`Bkb
z(0rHsuSBuNJeVC+Ivq?n7}p7}4xX`)wy=2!6bc4~xC78dk>P`+Y;&wc7z{W8fS2)p
zyaaFWQKcxbGOKTy6Dnku13ufnT9@4a^R=r_Y(}9k0K9Us_5&T+FT`}p%afA;{7TGW
zP)N4wF+M5^l}l=pZHyZy4_$?q<vGd1{~r2i0s4+TJFEXPX?}%{Oj;U%jEjpHs;6uv
zc#;q_ms3~I9$1m~$q@9Bs6$ae;hD>D$T={IXAtl1EB=#{7aw1$@D3B>O6lq9+WNpL
za>6uONPHGs<T9!f!5~df$NSKj(PILJi3D-4APp8gWSL`A5Ci8raiC(KgZzJ=S-|I(
zfOHpa{4t3o9?+IFXp0$Z=ZjS^s0#HJwKxR%Tr%SxWFjJ>@W4(gP5_(CRge4z$FgCE
zSd>mD&5ZBv;?m*jTngHshgIQKL;!u%Rek(UPELN}`aTI%gPw|q3cid4{n0|3RKy8D
z-^`h+oyvC^{yMRH(oj#AV^2(Cn}|U{LBYq<fRz*4asg(?!<giKr=ox@4tN<wPz$yr
zoFY;X<>BGsSnxCo7<9CMvx4vi6HH$@Y*BjHGyC5#yT~rXwJxAO%pvS&w@cz)&jeF&
zb^G*QsPLkP{<mDlu#oa#K$W>-i<6?WUBKsDnI+9bS1Yb<Z6y;B*Tz)gy+B*|3YP~5
z#&{5RuR!FdMcKb*76U5MlEDZ(1lVl`P$KD5g`y$gN`*>L)qdi2&avNv`5}iW*$ym%
z6LD|LI56Es3=Mwk3v!|F5T=dCB+F4K+Oj5Qlua#EuZLGA&I<!ID(fm_KC_FUSU25c
z78?rEmo6x-c?GRe)29odTEKJFh5mz~cN0yFxF?F4&j9%JeN}5zu;0_470}{PnhE4A
z#DIhJ7ljH&b&Wq>3kuFNUSeEcj@^>w@rJ;z2Kt6O@-2wYJc+i-7;1GJ*Zg^ayHBli
zrIv}w@t(NI3Yjv_Z(@x9NFnq?(C$_!LNf2F@5Z3T=Is+Phl}LT#06HvZBfzXyek^Y
z`hKI{QALF}d~Q25FJzD;h1tG~dR<>1#ki1S@LH}iGkp0{t+e?04XvA-*_4AB2V=y!
zPxEU(0=C1E&6Smt;)!iFGArw=H#FEBX=S&)VvHVN(led*W4;|fC*tt2Q0w+C6)hak
zaCwQ?9j3wnu%G-%0$mkXlM*RVw!7lPESY=7a{A5R^H#=YZ`R(yuWAXInfi3}n8-~m
z)4-7@=TGPOh&_v`#n+zZw*NbR`N^5>5Cx)qII1g6d6HB;pSp2cd_jdDFg5LSb!q;V
zck~xR0q{+&X6y|_8{Dr7GVa_R^aT@B(sN%UU>CO3dM~R&V&+nEl4e}Ein8sFf&!zN
zEk91r%4d5=MfIOUeBNvKV0fz>%+x&nj&L+`-xt|nB1@HAp*-sp^;3LsJ<g@~R6bt#
zakoE;=rSU0>Z^WxIF!7lm1$aqRaV{(MjZxYdv9%NdL9kx8)*@?T(aRKwcjcWUGZmI
zt)hxoD>l0vtn~W*WPweCd(wQp@T`*g?mnAIrkCzxNRS(kJa@;GeBu6Hi8tLBKF_T_
z)pd<_sukp!%6r$VqbV{`(%;U=RMWEdm-$i-%tD!72vVwAO!EIm)?y^nZ!b=?8Ztwf
zn;7J@o;<mhbF#i#YVxALIh?V{W_P#0Jsm4H66L!bC&txu<Nu?pW2u~Roc5w8>+jKg
zQpqx3v%qQdb%Z+oeXZ~EWSaUfy6(O9jOn1d-GWRq&-wGlr^gQ$16R{95aG9H*}kV_
z5alZd1=onMVQW<!MJRwYel)Ea9y%#2aap+T?w6~Xf*mqA2}_=%#Efv>YTa7ht=le)
z(Q7z<o6Z#=Hkk_MUBJRuMH>?%oQaVkhL{@`GPblNASEwD>ngKA2!D3f;{Nws4i_a<
zRZWD7Jy!MwxyVEMo+g{aZFqLYG~M&WLdDKWx6aQYukW4$nu=j;ND9{-`2xB$wUW`u
z1oUZep@16q920`i?*s(-S?$S%k6qo|XyXq`vXi{;uKx(C+}yKrzowOBO?g8r{8W6S
z%Ede7?p6y2{pwL<Wn*e`K1-l_gHlb0B-y#XKwrHs0|&i{B8*qXf&%E{P^uhWS(m0!
zt%`$cuN)B}p#jfmMuSn+dWDyVH_zjrhEwGjFh>-9o@wSl5F+B8eZ2N4Z7nOX5@ZMy
z>6*3Th)<}krDb;T4*@jxdw~#}LxU)%zJP<vCG~H<_QK-yJSi@z+e-WL-3_8^R5Lit
zKoD<bwqA=_sP#~TgQ2ah*`)%z2o>YY+nz!G&4$IU7t(Fj2fh##FXot|cA+ovk^A@L
z7-=>iIizB!#lF6|3tV-A<>1G)XGVI%`Zqt*ODG=Te7<4NAr6WP+;2NXCq#Cv1Yjs3
z=KomeozWwTo*HO!*|HwpIOua@(qeh*=aM79Y*>#J-U|aoW+f~5T1CP{z8BW+Y9r?(
zRT>`sFd9c9^D8=K@T+FhH|qS})zcr{jBJdRS$F#%Va1ba+M|4jMp_=W`#<~MDKGzU
z!-p^laorC88s(d=xBA}8NX8(*6&6<?IX(K8<g05+A(Ja#8y~i7RQ`%Ptqu|hN5dw?
zDBQBtQPuL?AIQYY4~yzq`_=Sob-W8M_yH~$E(s=i*vND3FV<%7RZ7LfN#b+q7@|i1
z(VtXUt4BxnQqO1&MGT$shcpa6&t(11`(6@hNt0lp{`$<@=55Iwe~*k(*r8U0>t2C{
z+wtvHX=OPYGTFSp3LFF+Mz0CQVVBb;H~U+sJMzRi*w>31Jt)1q#C*OldPZUwM(jD0
z-b+xzNwFrjpWW`&J^6@Iu`f+}1`74gPls}?ukXh(eBwV#P8FcW{8*1E*L{lfOG{I$
zy~Q!P_zc!F*6xCro_<(bQ{fLKX4DErc4c79bXisTBVE<dg9#N6hHdRu*zhjhzrzSN
zIE)~{bG$0+#^|5aAtcmN+5RMM;uM45;Z_>Nea@?zDP|_S7d?4<;6--idz~G=yIioJ
z%!)!nAvq%*mG|D)&37+aLoy8QT)J4SNz|+T6YV6wmHJE?(L3~}ViKJ{H6}|D$f<-m
zU9Ia+?7((>^0b%Jg2cF}Ork3MJX~)sHa*q?vh}f(YS%_0Cy9zt8apvPYZz@cc+Vc$
zo<pxb%*ke&%H9i9uUrL%-J#zO;=<=4r>P_hP`mbI;t71D3kxpnT6h`}7TM<eJR)uq
z)imeWp1Wq!^EoDXz7bOHW@~S|-wS^$Wvlv>OZDkz?k6Ut)(?AArj-I77<=6%0TD2#
z+1<;x2gz+57U|l*nm$QX%)Xho-qR-xR@|Xew}i>#ZR_#1*<&VzBeAVb&P~6S=*E9X
zohjZ{tGUY2nDW+O+HL?Dc04Sag$N1|kNq^s*L-kr9rtUWr~P?#u8aZI+Z_Wg7>M;J
zt6X|w>?nUlFCP^qt>#Qg6aV5Zo+8wdHz~E7KB3c7_82VTWz5u6{D}z^6S-=4zF_)7
z2!jI`#zGqAib9Dg{M)ge>S}vIr}?5iA2I8ra@!}LqhV*qAVWl3DPBZV*RSYf9LRa@
z2>-j1v$U1qMRfSTZ)FhvcO}PLX2g48@_*m5otyu6C5Kq1&kMYU+pY7>nUpIE4T_Zr
z58D;EZ#W!;Bb9vFwfqqx3HBKqVJ$-4ON-=6V>WTz`vo6a1nN#E*Knd@tf)3tc0c*B
z-yD3eaa@5Lj{&1WjzunAkNM@h(;IJ3!3^`?*rij7a5`jGaJ33SJJEq<v9&O|bXIX-
ziHMi~cP;MH;ix4u53wZH_6oR8jQ#JL60Y<Au4=ncTyYX#zSjF+9q%JP==N_cHH~q|
zk(4R&k{t2k-Wz_pcFim1goQvG@5B2GlO_X_<sM8lo2)RX$+&aOvA-JG`?@hbCVJG&
zo50m5bdpL_3bPaV5(y2o#tzAFv4bL#a720>2aAW{ps$les+I%481V?0R+!Z*Q&YNk
zq9rQ81l#`YG2<lKEeh13%QSLYnj{KLB|yI-nIHV4_-|+jE7_EnGe*omC}v{SbiHvo
zyUth#v#%dyppY3a0@lL{)+!83BIO(Hp0e}d-6%DJGy!VgAo?|eY;7OwRYtzSuVLIf
z7Qd3C-=T)5O`WS$D$MbHOP?@sEg$&T7CDxl3z+$Sf`nl^T{(0_WyJSslQ=bx!?iFq
z0-e#c!`V8`mYa_msN2!Dq~E5nBHnPg8r~x6(p_|acdaR$QZ<myL_V8fyZx@fab_aH
zH8!y)JN9x#<AXvv(=faO+DA`%Ivek4;}`5tCf0F{`xfppSL<+bQv&a=c$Q34s=ez3
z{wkmFdXXcB{pOIP`^?yWP?w6A@)AWI)jOv9KFVqxH=DsC!<14@@<!28ar@AJ5usIw
zOjWqp{+&Ht-=<gxsoW%Uq8GmU%TI<LcM_HC+LG*bAw|nOD$jJ?3Zj?0-OrsQ@rsg_
z1hKQe?r38PM=G7=yK=j@a=SiL#Q1>WqSc277L7rWev4^~W>-|BNhB(*tMuMMYt6A;
zi_AB5YNHqz3>S+G^N;gV)upC-<P93jC6{E|gQeS{BS@|oF63qy-krrOwfMDvi9N6?
zC4Yq4Oc85D5nVYg{QMCt&&J}4?s{07n!t*TUlT&#zm#;ibGU<dh?jv|##~UPczu3V
zNZutRtC1j4p;Bi){+8V?Wb1yb;uotDEuz#|h%ye6SrCsq`$Sp{e@x=Eve$=`{+%nC
z<z-j@-)|Eks0>?cygJWHuMq3Nu={ltwTeDt>J(OCP}j?M<38`l9i(dBXm1h>^!jsU
zt-WCsQe#+^7kVMoMBD`Ml*k9eTg|1cZ)99)>;+-7TUl}gLzLWEZqlR90IT`vqG&^<
z$vppj{6V&|h=zX2`w<7X6Gy@ZH+^rZ=I^Q8?$+8p%yCF@mwzv>mDkW!6<+6WKY}h1
ziU_vkH<`}fziTt~O<K-p&`s67J|9!xY`^^LwyB9FBYBoDcbx#X0znx;dQtipp-4~%
z&Z!ywhao|B>j|+B)%TqPsQm<q59{~6<z(CJLtXr1I!i3>=+1}Md$7=_%>K-}On?ez
z#Emrt>gl8ypNH(ysFw(-b`xg#=XX^UD&JRDm-a5*-Y18d@N9D5#GJuFn0+B%73FX(
z-#DsOS+mpnMC7OBOH`Z?9Zr0nG5csTkK`8X_IUcJ*2ZO`8nRb2@Y16A@r!jcIv*mR
zX?f|U6)Hx!GrChxn>)qYk;vpC{j?1CE6z--V~aQ)vKRx-Y1&!y*`Rk2lprkEnYbe7
zk*2aGGTE9rPA))QyF0$@r-;r^iaFI#0t3A^B=2N3E%mGPWlu3OGW2gJuTj{mOEriw
zP<m9FU4F;e)oB?XuJpVo@npaR76Oai`nPqbMfmBS=SO(eRs*&kE?BQ4hlI?2z@JO0
zU?-W$_);+dkA5;z)pv1|cu)7lTl}8>bWX4)KOujwX0O=grJLN?%PRMpx9AH~vzp!w
zZsG&5DaHisZx^ns*iGJrd}R4>;_}{e0sB$S!(FC9?*~a%fcsx}>j9g{J3b{Ubz{-g
zFj5R8Tq$H4SV(M=wR6?62~T|p&)wb4(zZVpK=UYgQ%uI7mnskxsKD@sg}Bj{raeOW
zEWa3^)8GHG_P9WExdcNN39}x#*ib_lf5I)tOHB_|x7D<zpX>YH)p@)NdOG67{d+U|
z?+Oh0KU7q3T~9njjOJ7q$0uki_H>hSG*70>8z5-N#iAnwDi(X=M%NtH_~w~fvDn_u
zA;Wt-$rfy?t;j=zLrwqx2Ad^LFN}?7gw=FH=C|hhOj{}+EUT6C@8Zxxtpyz_GgNQ<
z#IzB#4BVnmOec~)y)_u57?xl<^NPNw0$aGWzg%Kp0xl$LJV1q3f(fJ@9bUbxTCQ#0
z^@!^d8_lEFi~kw7ORX%GcQrY|E2<9a->+}RokJ{r-GocTY$mL&+G+`I@>}{=yIP;G
zPxqJ~4_$sdaXfc}hlFl7v0?+7&!#f1{uIDKUnLj|Bi98-2&7aMJP%0^iJeKp+j&Ui
zDWCb{c2~q6GKIszhIie>T$Q$IvTVxh(3W9VVlGDVo3DQ+*|*m)DBaUhQ23Hg&izaY
zg_&RVg&C@Yzo++kbH0@ympMBOM1zPup7l`{%MkAQ9YQm(pjxsIej~YFYEJO_&VFaF
z+TRTv>+~>B#R`pQ6$z}1S5adgMvU5vz%djxYT^iS6W(R1_n#8)hCVF*{VGM5;E8rt
zq*&^Elag{O>9apE4G`-~?U$VHoOga*n2Zut)GivXd|rYd_J8Cr5!3D_<S-04tg5#b
zh036Wvye(V<(?;X!C;Bdx71Z7Ee{dYMQPB}B5Dlfo`oUMB77T>&HU~Zsml&W|Lg^J
zh`}$6R7}bv+>}g4^*+4Iqf6v$x+46V{1R$PDk!S4yoklcqUf(%EA9l+iV7~bE4i0U
zA9g)neKpa+kGS>EM)=tbM;_Df>L2k0IvlpLGyFMTu{&O7%@vHGN<ROb@p5;|B~FK1
znt#9W6B9-^`Kx~X`7rABKhbN6J*C-Ybo|-@j7dxE%NH)+anjO8q7BK*?|+qD3j8Jj
z7V@s9)B0#qECp>Jl2W<KJu1nw(()$TMQw0w=#z?n?&o8?7oCc5cIZ$NX!qyz=lb)Z
zg?0(vs^6_wE5cE)Lc-pU#<=o!8lrG^*$JLY{7Odi=Jl386&R;Z&K0+4o{4XBJaO^3
zm@O?d<bP(sQHETzxG!rodyplEPx;!S4cyO(``RU(Scc5G{O`sVxRH}StMhxS1>6hp
zrqe;+Y6n+U!@`L}zJ543Sf&0}rFm!3go*v|5El=Ri1#HLw6eO2g@^a-U(ARe`@+@{
zVLSkRL~Fn0o)Q;j&XxzF<m6P(1?$?x)YOWLIO)yB`8k)Y;YDDUYvQm4YN*6!zW46$
zZ+(4zRIkHUPOtkD>EWQD;NZHr@;zP6i{ZUFZ@WP;M7==8`HZi_BOX#xQiaOdpk-TG
zS)@=2WK>i*2p$pf&!0b>glLeMyu7@O3}VV)Ol+**etE;%`g(3y302A<2?@#1C-TLT
zl9vd<)y6*o40(9`0P)enLi(gPhiqTAwZBcp^KdOV$S!9*P9HYhq63b5;`eX2<0Y1O
z*^G<~iPx{m$jFK{tc{H+LC~mL8wv;tg2j&L-aa$(KCCkzOioJ=+mqp)v%QR`mcbws
z;4<k(QXs09c}tYj)@I0nTVGoXf>-ZvAXCv`9Ws0~u3O(rYa1K)qXiue4P0X4FP}bP
z;^Iy^WC)S72?`3bu-I+%#b^8cl{3lHOmp51&}SX(@8<^*ENSUqlf~*uaTOe5?(V$P
zp==Bcm{C3RLLG2k+d34UPbo8t<BKypDy%8ld`@d1K8cHBzSbR~s;Y{MBIO){6r`c0
zwY9PFiZHq-iopNjVrIU*18pG3MV&Q;LeR|?L^GY7oIpgFP{4&DaI9Uv_%BSBfa~6j
zk^iF2^T{UQB#YM}L@MJlJ@C%jUhYkmHtHY!-5lIK7x7)^qQsA412LlW-3j$VB`F!1
zEC1jrRXx2s5ZUJD;Ze#G;-{ngH8<C|tOtDi%JxUEx$ow!Z5N#NW<Nrk=l-(393VEv
zt08SAOJaL8?Txhqw|@pb1L57@(zITk#;-8Qg;FyzTC67M664ZbW`_Tj0TJ29`x}9`
z@KHU(Hc22(_&+UxfahN`ZS7fQ(T9*$>5>Xfenh_JuqN^^j(rF+0@lXDM^eR610%^X
zPrV+wD%Xqd%Zni1c{pF!#8~jsr24u$0tX7n_J8ygOQgp~PaigHcC(X_2_JDFgBSl^
zQ&Xwm_~B$l+&udMoHe49nWq>2e8>7MeDqsX-tsUjlzy$|`**E!U2caZq0CSTJcQu*
zgoN)P4B2LA@JpOvk@@9IFEI2Mnphxu4Pu`<O)k3yis@f7e*@r1N?|g(-K9k*L7&9{
zC$xdbmn3J8sY<%rAZ)ng|Mbw;CoBAG)TH|Ic)8taUD{S)G%|j0Go8n-$@8qha7h3u
z=>B5HNEr+^i150&oCB12K_FvcKRjvSHoEuIA`N&5^mg*MJNa?i%+ue^2XDy|Y@T24
z4Ga&rf*Oj$4&kPUfw6+fdzn$YVH_R|)Hgb+EHB^ecX4~l*qgr`P2Oh4H<f5DI2bP+
zk8GZzWdP1Pobz~Rxb4gL4@OV7DSrE;aN?h+Wn%wDZ~xTWdBrU#7}v~2L_|2Woc@}v
zp0^h$MmMSUn5i%z;k9>RayHE{ADR~)<R6>EN8928C-fhG-_X7gFX1S$$7ttw-P3rO
zZcJ!uYI?fg7S++w3HC?b>wx|lt^fJB45+9-fi|oUMGNcc;iR3qFlK}M<o?&q+%+HB
z`tsAGyN=G>KoS$;a@~v=SU>qPale26RuFOi>JH=>$;>+6!7$owu_K~fP9vWq>2q4f
z++n&K!i`3@2G@r7n9$PEJ+?nxJ=N+|PZE*GH8?D{EjGK8_{Xd3Eq)%{oG4J_T=)am
z6@vFJtIV)fmlBhPo}Pq?1tHi81cE_u-X>w>{QR7)?YdLUz?D|(etH}RKZ@Ju`UH$H
z;hNMpgdj>FY`EDi%uYy1K+8;isk=)@_vLJBc;a|Nw~`X+yYJm42>XVIgb)g_a9SQO
zwSviIS2=EbONb_IXt<QdX&IfIC*D6Y@_4--2LvDQ$0`KEk~A|%kU~3WXJ^q#cnHP0
z*cI{!b#-oR=WDI*uTP~h6@jxQb`2gd^4g^xit4Zc&x?H6_{c7W17Q*o$<Zb9+Rd8{
zNutB25BqIrx<^xgS@GAr8s=Rlq++R&Voe!M<J_irx(*+g#JN{yw;0W`Q|Q?-;#F5y
z2XI@cz@FtAT2phDV&r!NWFUQ;AM$CfwW_q457K!3e)sqHgINUgC~!Kp(YN`xySrO4
zoregVeG?KBfn7W7YVs1c-E5_wuJ@9-DAl~p$jofNUW<~7!Y5K>za1Z*pPvV#!lG+-
zaEQF)a@!e-n!;*ey#XRmU%%2&i=LJE+@JOyw_asQwbvQ~m~&tDok?vakB$?4ysjA)
z>1v6#jRC5KzkffNx>af9PVAnZp7zF)aVmXy*x3TM@^mxm|78OvHaZ%VDl0GN_WNBx
z%fw^@^c27Rw~{cCLavtmpMXGvTN436PE{2vGVfQKmRhhFB`|^831w060G;JjiRNH3
z3+Fq80);d%i*6wN7gEc$YvJbRCMzr3{=7<CK}?l2at(q$@EbDwv3{4JLWU^gF^P%a
zXJ(o~0UEdW36c^j4356tS3%$8Q|66vx-*z2+svvD(iG@{0H>_Yq*P_)GaeJ>C&?Gs
zm!g--ti7o4GzY-dW$-7fPSrM2UOzkB_~0}8?I+k|fxv~h5P2_iV`IaQ!Wj3N2|Jb)
zjFy}EL!X&PL<j`EcW9_Ac7lauzp-V-A00iW4DPxJqzu;8UHNKhO{cP(PDbN*o0z<Y
zi|M5<<x!m~ou$ym**udoVTZYc6L*xLl4GFhH}im?NZ11z7^q4c<KhA+eB9(>{*6}i
zaodFVu9w7Yi>I^EjK%PmI*VcA;R3uAws1H1#Q8sr1Z-iqw<ryEB!io3(y<%*O}Mv*
z4NjHqhCS=?>T1%pwR~^BU9Xv3wFo&Bf9_aS!65xeEYcGEW{QjOt6K5Y)D#FPmo&3z
z^MaXl{_p|i`SZ7TZ8-sL&X#4FWb;$z?w7WyQBjj!uhF0%Ufe&b<ENMGvojA#u*P+C
zb}#2F6T{F}of<bP+rGT|K-0Tq*yiah6hn7$iuG{X>zEepc$_5~Lk9=lU;gR4bQ`F#
ztl+hWS56(vOExhx+ZfN6*&fYy$OzhxDl021C@4rxB}9L>xA&fi=n)>)>*mA9=H}~1
z-{p&adR7D7x!Ii`zIWR3AGv%yWSpvdM>0)cOI(v;Y>wq(EiEl-YO;ogk~cPru(Lmu
ziAIwPdjV6T@I8+=l(%Rz9u(i7F7H}@DljJ_+xYysC<s=$k<>_Y)9cE<BbD8j6r*bH
za(g5c4*KBiiwVEILMiI;YHuX7Lp6W?>Dtu8t=_@MXaC_&<R3hXww2dTJ}e3QSEr^X
zZ&Bb(JYKUu%oxcC@b_OHQxIYObahKEDcITF^}Ie={kQz)<BCQfw}99Nh+7Kh_Rz&o
z%*`vRtL^fo>*C0VFE8-u=tTVQ@tKRN8-Pk}VX>#Wx@=l2{B-?~p<kNk=9^cUti-}!
z$cXwq&-+T3?}yWQ9YEjUm_I+OaowMmOQgHF_gm|>c%jPf&BIBRyLs3!=zq&7&Dxvt
z`3El-pHlYHr%z+pgbY6%sca`1-1PNHLSMv1yhDUX>ND$}(`j;i=c=YQk;b_S19KmN
zlMdXoxp?Y$7cX}OwC4Qa7Gv>?JgHHy0zzC|4Fdx^CoS|+t#Yr!x*4wU{{GX5$Tdl6
zx1rQ=F*<7JZ4NTBZxH0~|MRQdD2b!KK2yY3M_0T!;wceZ?d_f@s?*bQRQyQ`v+Ij=
zM3hht`vtx~I+RUrhx09-XI>*)<GYL0GWFphCk0A&8Jyt}y-fB?Xt2=1A_=FzpPeo9
z{?yy-Og{E#S;@piCM@{lP1-L!<yeqdF6HWKOPx&=5_}JZKblc}83$FaR4(P`q(;T8
zh3@q^bfQj!=K9&e(v;J&`8pe3+ganC7gxpUV2SwxVVu!hb|m=F{QUdF2Fs&G5**SY
zMCg+&TWs&o_3XHACq7Kfj^0Pg_)h^44Ak*coGSiYbT3zh0SgNY|LS~C8n}NxK0Zb@
z{gP{Ed#+CLpZXaR<p%ptF;Lb_-#$D%YiwMC0<N!<Ge{lCNA3GQjUYa6p}`Jn6^4cS
z2G6h~WN&T^&CTr%3}_$-1M&V|(#<V$Y^=giJ%iguOGzn~>WwvJWK@)?sp(y2Z1$^M
z^RulVV8v-`ZEYR00D?w#wD6^dpaMf=SINwh;n6W01g)GFNi?5jTa09Qp6{p{3>XI<
zEVVYXm3OQ{)AtZWE$y<g?Tr%p_0~&<fB^ZDHinLo$@$^}4<!_yJZ@oJ{OE}8qh$9l
z>D~@8KdWNFzyKjXh0)O~3CyvD13(|G;~5%ue)_~J*lg&BCXi{Up<$L9)RyDE2m*B`
z)jx~~P(xv_w$h`I+XhcB@cf>9%jPwwF0_RV=UAQi7S7u1&QBC%Wvk-pJiwmqwEoKq
z2V2~cCIMC|P~!BSK!X9gl<ocXJxl16`Q=~zwwCWdX7hi{nr_HqfT`|?BkCd-thYOu
ztrzyrat|dXH6vC-Mn=8?syRgU7u3#slf@w+A%4N*?|%m)9=F|EyJ{tm1|y1;q?mng
zS8Qhb!xETdTlO$I2nT^Za$;hFWu8u4e&d6uyL$uAkv38gb-YR_Y*B?>4g>ieA;C;?
z`hHATpws$n9EJD0i!zm!mKI6ve1p0YmtWCdP(W}nY2m315;{6}t;=OaI&d_AccIkI
z>+U*d&_+s(N$GJ|_mYBw3hG!g3{!+S)075|Xd+?FZPc6St=cpD#&TajCl@NRdoNE%
zODh$8m@fI(r$4W5>gR|OIVNQ)Uv*u{-VG~uQW7f;JrLS4;L^NOQBhx)%<c2_l}bt)
zxxD-UiAhK}J5>wf|EL<nfpYZmc2QA6UnIR@dGE>~ENnos{?mE86Bp%`pU-~tF^4v@
z_esm*8VrPo$2uUO>h!IvxK_`O<Om4nJ~%rge)g9K-Wa0bKrUO=PjqOdAIHnYgfoT?
z6=SQRUJV99c^2E1D=Fm)LD<;3kN3`?0}H^o&$eH;wuV9hMGQ)&)ac@lAO!jG{2&c=
zOhNz~8(S$`q&)olh2rtP1n_P58wI9u($KP#HVai&z|QUG*V!S~mh$#$z1KyE{N(0q
z-V0?|7+2RM!$$1i3kqZcpWmviI6bvxCnipgtNLA7BSme#GDDi_ms3wcgaUfk2L}f5
z*$i!g_Q;ukn1UxgGd*3<>wKpTR=<UCZ||jf^#O&@iRU&MLJVF0M6=WjHP1#pb)35V
zuE(jjrPc4~Fv8C+@o#RBWoe#8d__Xug@pj7iTEj4R+E1DLb|v>W5T{VU$-)?h3If>
zZyQnkwn(Ey<0YAZOA*YQGD~o(1KusSMovP>OG}<Vfy4Ed9GQhmb~K4tC{n6=``xQ5
zU)9zo3dymsGNq)*=jPfpUaoD>w7RkU_}1gJqjI#~dye?rXJO%MZf=X8I)IaZI|tAp
zpR4knnS=2H-}qWdfp@km=M2nYV7+v7iZ>zqHJ(4$VE^nx<LB__yQuiDT3aL`=<QoM
z&7{GDIoH_O?|CocJkPA1_y97$d)K1Z5OnR++$2y49<#E70dEl-`!^?tHA%c<+0n^q
zuG#%q^zrn0S5lMv(|PXe@S~+x?@y}kZVAO2I+f0taI~VLqC7m)O;;Zk6cz34?52!e
zuaBBJpHsBi4Kc$&9zupdbQuVT7@bjp0X#_xW_+7Z7U?GJs&rla0s~xe@O2w!qoS2X
zMPsieErx)K7f3&Q+bRryU`kWwoNdn#a>_#iKtD>s=h)#`h<(AKlrp$EdukZmJ*AmP
zFb)sFBOtiBxa`ortdYu9`O(~*E<muyCn%^lkf$#r)4Rg-Ng{sY{Vf*IBffuM<oANZ
zbf_l!-Me=PnMQk3yuiU;Tv$L$`D(ABshK8#8YXo%;A&Ao5pJ52v}sd&&%nsW#_N|S
z@F^*2b7RA7PyZerUYz;8n>OOCZN0+uwve7)`fKsPJ1~oOc676{1cLdKV(0eA8|&*6
z`&R{>i;EAy2QC;1eFvxxVz-LeI0t_Bif7`{Y5Ci!W9!a2gf5ASWB?`1YvwFIz~@t8
zqJ$FbqX`K$Jv|)zkYX?>zK@o6bUdlC9QEQ3okndv=aql+2JLg|NUC)>swrTAx%BI5
z)G?7ze22Z!klwz1yG~yM2Xu)*NiP5tv*6FW)w3Jo3Tz~Xh_95`c)lzvgcwt=`_RSN
zn&yBmE<qTJ%Xzi)nY!iAs?>7t2nD*DkLZ4AUf6*nskvYF<9p*MfHKL~WDLuit!a04
z^{4Txf1}m%cL4M%=pFl?d~sQt1SwM7jO=WOJ?8VE)v(AdG261HhNzn{XJ=C3-%<9`
zQc^^$!rUsjhdVoBx9JW0ya9N|Lp?4mrDXXvH4|eu<EYZ=MS2bPnp#>Wh^Fr`7%`Ee
z6KU1O^T(r;wSd+Ua4w39!>!&|w{}fH>5nk1004u9Wv_XiFlcYjnl5p7eLeBZ7XiTP
zpbKVw;LBL;3MZkGrwdUkv@s<9O)&pf5Fu`+J*FWoC&u|?h2Q-M$TN}9(DbWKLbpC~
zb90ArQgI;`X;_Pk2RdE89O>&TDlK((a?)w>aB4>-SD>57p`J8!nOI&nA~BUqQ;>cU
zzwv=TP^@Fu>?AoWODTW6KskG4{ZuJa;9KKmI9m1Jbxj;>?AikeDEfc?P(m-7hk<}w
zAW&$ofQ^F#<V#%p1>g4&)Wf3)*s}PY3wWr21`&^~01gro7M7z)NDf4tvo|#{dAz9f
zx1v}A?QYlJej`|<!HxjVIq?xzge1`4gWuKF)j;^r*4DO6;85A}aQP>7WqNu#mYDm^
z>%QAtFXt?|aa0eXw&h2<AWC}WEHq@~U7+uDaPSA`P#0O*J8MJ;h$$BhBY*V{4=Xx9
z1B4bh>H>NI_}m!buL~!*9VX@oJ~Z9~J`w2P1q5{MdgZvSt)ma=O?_$^O@Z(ptj(^@
zPI6Jd7RObI%!Y~bqN0^k4=`mI7!QOYT5sQyoX1Sv@d-0BM)a;<nEyygOKWso?F<VG
z0|(m8a0<Wcz0yh*Tul)JhR7@-&+jvt##^J=mDZCIl$byC?JX?mqIzymx}I}ye6OuN
zk78>Zt5-<w&)|0!xn6-APDTSX=H<mjCZCgul9JNv*TH+VuQddroRX3~z(tYC@+<sW
zXmkcBEK7rp1P@XG?vI*}^YZeVnwzH(G{1fO)>?sqh=5R%IXt|5R;ZW`hOZv5VSrO>
zs=Pvp>-D~vdh5y@z4^*~02f^s1_Jpfh!~`^bv6WnVtlT9pXWapT~4v43<A4^gN60G
zUJVD%cjJ#A@B8qAf4<s5lRIu|H2xVR6GwhwKKn0&fiAJMqy(_IKz#Sb{Ut{D#A7P>
zI_2hU`(J(lIQjSk6}=aFFr}=ORk3TFI|PBl*q32KOn5MCu=U)yiTxTlNUd)Le@&IX
zW!a4R)(DFQpC;h?5(?-y12bQ;?HB)#c4Rk^Y%k7XxV_!4go9w=;P^?EK;BDVJheA^
zT4v_MR=NX54wT%l=g{hUx+aBQBh2ftg!cS7Jth)I8k#sJx3e)=pU^A75Fg;-5fXYl
z+`6KN^Gr`ou^6^!?_=*s9Op+Ds}~x!`?XejS0xbO<D29Q;YWSL2lD7auh%Tvii$A`
zbX}{C>IDk?e)k?meq%{VNj%>-??74y5E|b$%}-8l92`Wq&JGR^Qd3iZ``u24owE!~
zk`hTGSA}^e=36c-;JV{w%Subn&d<N9Fo3UVu!|AIRBLDE)$e@^*8sZ)mXL`*;H~9p
z652SNuZ|Y4udl^Z`WJ{eEfg#)3c?_;VrKnx!Eb>2)-hUx)*#iVzuxXoRXZbYr1ru#
zh9MM?kwH4#8u)X<+duKmxB0obizWd^?1;Aezk^^42T2t}Gc#b@(bCi`R(hGs;01V6
zL&RtR%38jE?tyJ)``zw-qIwNP<AGv3HY0rW^t~@G*NKDxJ0s|RbYO!h2dHQxBO?fk
z>ow&_148A{(9i+j*bBo$C;+5GJQuk(R*~Xh{m1E57&Lp8cdYlufz$(e8f>t=LV#-v
zo5!d@L&&eHs@jfue0(e^r~^4TskvDIn~b+W-UA@KxUz@M$yACp6#8y;<Eaz-wVQ{B
zhtbi|hX)7M>j)>l&+oc4eV5l$RgKTcD5H`GDJSFO;{u<hyuFrXFd)axfh0h#Wi2|u
zi^q}+6Jukqt*xmU8XoQLrhWeW)zhto?Tx%Vh(wUbv4N!=5s~)loy6!X!0@I!v{ipD
zr$rbAn|D=Oj$tJ@vWJBL667TlQ)^2LfX0eo(KMc^*lLig1c(#eWLiZ@$?lO%L2oT%
zFE0V8V|4WRXt5bU2C(!dyO)uaedT%$2Zx6w#Ka)-aK~{57TV+&ZkwU$6!CWbCKpCd
z&YH?xFGWQ~X=!OQv#$ztU`YW6k{EyxMls-IK1#k2$v)oL;If;qZ40W_E^BFNS@yeA
z45z6rR9=LKK%R^3V$)QuH!Z*s3vg<lK6J?)s5b45w!kbT!jEzV=`8>%fFui!nu%#2
zaQ0IR6zp7p9t9kwxw$#rP%t~7ioqMVwpB!r0+&c#O%3gEwV*iL1F+c>M-ts8)gUTi
zCj+!XzzBds{!5`lbXP2yU@R%W$(}x1Dj@0rAg9*DUL7y{?@cn|SakFmM|A<x@s+DI
z6#SEr*FFPlA&7g|!o*|^5UmQc@NpEP_7QPM#vri=SQXa|9UU5iDG2)D*S`1~X|;UC
zj6Vo={;@NgtzY2W{Ci?T@v#l$y0Ldsb%@p2!$K8?txcxA7>Pf^L5#=U-5n6#1+oeX
zKDXz^$gLz;@L*qDcx&WqUV?^}0O$k2sHd4Z5W|c6-5oXn27m5aE<NM(=g%MuC-oH^
zFdv)gGWL<dHi|{Ct=w#jK6yUgds3T8;gQF=14s2AMaB<Q_QJvs|Jc1Ld%C;J!#|DA
zg`sXd?2iDIz{WxHwCD`NGk{ms?!Hv@vi$v3&P8BRqgf418R+6a>hYIc#gpp^9+Q>|
z1For7xHj|BcXN3ytz?!|r*o7{B~ifsg2bZe>~nyI^hy~;TP5$DFeAE$h7_pVy+MzO
z@$k$S3lXii0DmecFF#=%Y)jc~atc-%tNssTuAZ?0za4O^(fv5f2|)xY=wQBXe<+PJ
z+59oj9qiR$o3+~5e1;ILYG~Nzy02wQXH5xc(&P50HuFLJby@mg;1Ll{tGWujronbt
zYPrdNy6;UD_64H`GP9_e!nB&?Xs|(cmEZ1f+Sl^*alL;)wi_T%-`h;=wSKo>6aY>t
zptjd(fbaHi*g&@l>G`Q&S^fSB7#)9*tQMC1FKvzKZN=Ab--x*Iq5|H0Tl(Q-3bN*Y
z#Vf&!gF$V0*M$I@qPtV%-uQ4ML*Yw<iG*fG+G|n`C=}PTEkzQ2)IHQj{WhzK0+8nR
zk9?ZsV+D}Q#`bUFP4n`qX=v1XoUZ+&j@JVC;l)R?MUVIQn?Z;7O9e8E%gZwX#ZF-4
z^KR_H%u@(twB5BmJ$kPzGog#|vR@u8dV^U6d4Bsd<RSpDSXd74Z_ao`gpQK{Km&T&
z_hvIC>_ogOls<ddf}W19?erJPt#B|>y4D@w&0YV<j5ocjnTx__(XBEL48&mKwBxnu
zXhMb<n3?~<EAXZ06u)p?EBy=5Rh!BL8Fl8ShaWIBIoMb)8fO-O9rt3hwSokkEkI&d
z{mI7Q=3kKNvjvz$`4m<%A9^J5Parz7pxAupzkI)3hF5c*@OmGPBo_n|TkejUy+~Q8
zkbu4%oDXd}?UPwS%bx}}fi;1X%yBZSLCKjQ$g3a|^;;MowgWAcH|W7Y)F~Hjv;^>w
z<Nd|@ZteMelWwcf4S+-7?;98xh(4Sr9x6n?N*huZxe4iAFE?n`Y8Vl`95Zb5xdDi&
zliYG3b`bcS+&_SR@4IL)ONaS~ID6sS!3U#%bYO}-e(+B|upR;GE%}@&;$XzNOe&&*
zDFiVSfMhHpB7T5D2Rp(1Bx+nQ69Yrv(9rqS)pDzM!{6Ko*U3tzqcX>n150|#KOve!
zUI~BAE|=y8=%0X3G-cPR#Ef6~?VGuo8L5!RSb>jr(&Y4Xg?^(NGd_q#SoVFQn%AHX
zq6FJD@Q*;&?mh6(K0mkXdI<X$mOIY0yVlpEk+CE<@G+^*EY19$&J8^8#mSnA3j5J4
zVKC$m-~k1DeIbTL4K;mzAHe1S+$bty7}_C7pLBG02T8kt(+cl0sfLIB3H*A%>i?bA
zbBH10lrBHfr@Q)FGU%}AXLE8>&4K%&CvX<-SlA;@($_Cp9%O|A5ar<DC;-kj;0f)T
zvIl1HLM1>hYI=<AR6b0uiU)}6fOq&-Sg4%NGdw;XuT<FF+??2N#*wx#HT4YYK$A^X
zu&}b)^*(NGFzZjq;yJWT$yC(OmZh*dfxBRiUBl^FBwJj6I`z4tE=zYkS^0?t94ZP?
z5gMAW%dG8t`_|)mQY1XKuNqBEc4T;ys^)BSRkYRAKo-~%Xf7#9s&E3BECd1XoQrrE
zc<--|1&*Ko9xNWLzBh;gT9J@eT%HZ{3zk7ZFM*I6aIQx)1qq0W_qMjS*4JNuQ>#AH
z+uPp{mB<yNEGjN8E-l^PcYOwSoS2vx9}x<{Dk^&V|HaclT9l`UhoqF0YOx0T*?W%M
zgRzj;j<pqGA6edH#?RZ-Rm~lMusgsjL)MhLyF1g$yp<JWZ|^&xdZtT6hKedG@S}Rb
zsjqS-$!fgD9s|3~^qI_lNmZndj^KCv>>bNx|ASRT$e4`<q-ext3wd%t9TO8c*5Aa7
zo3u22Ylvf~HTeb3cJ71E41%~bVc{QVCe+$$A!v1VbyoHBRzXrpY6{qVekj<_&saSS
zgv5+FhhVTPkFW{~`re)UnRiO7kmTx7Snz&#M0Pv<cv94)We)Tj&u-ecl$Y7bA`5P6
zR#t-4QI#1tA|Hcw1vzrdfO@#v=G^L~jeTk+s2aOnNkK204yS~I!NSHdZ6PuWPq>hq
z$^t3k&6n%V?t3G}8j?>sPF7RjQvAI7n=HMDt8G1AJOb6Qp{{HHBoR9;O5@sOr@CWX
zXAohdtyxbG3TvVbc!vZaFw#&inbIRj%?Iu5Q160IEOFCk{=?bVo0307EOeMfs%MjB
z_BnEy?R@9U7N?KJ%nJZ~q}F+B&EInUu??C<BAYkWA;rkTz-iCWzO^ha<}@K@EpIyC
ztA1PV9TNMljkX)-)cHy9YTB|vArlM7(R0e2PohCZnw7-Uf5sO}&ulN6kVK1p5MO$S
zaH}*O3IHl+iTY2PLmaNs(Qi&8)_|(?CsxyD!v6%jfNW4z?Zew%65{o}b5XbKmQAe#
zFON^E?+8Su^_;o{)lygPiw*W97^S`c^m3i=dgvp8v~}HSzebP8{FUWVlU!ax!Evg+
zVE#qTVDcyfNF4Z|7GQ+VNTEKI=*7Op!Ix@Kl_g$Hh;6PS(U4BZ8UMy6l|=m*{*Yi5
zmcTiGH7t;G{q5P<->*m)phiF>$z|hvuU9y(6JQVf$MILyGd9%pPHCZK+lg<(94-_1
z8SJ({2Ro;$yheG`U9Gy{AYx}?iu-FZBX%Gi`cHf+oJ~19L6pCyCiTub7eloUua12L
z{n~iMo8)-+Q*!eAb@TXkQKREbg3SF_PcuH^QO05o3>%R{<!J(6r<fRm3=Lg%Iumzj
z>yKiOdJ)Na7aYdqZQpo#waGpEjp|@D#==9Un`5tNAYbcbW#cug;ggrDS2`-klew?b
zfIn-a-U|m^v-qURUY?(*ANIsL#RgtHW_=Y})o>)V%zonePXqcQg_0m>F^VN~pJV^X
z*ZFwv!tz_8JPh>L-g7m+^NS$2Hs>LCNo+}M=VWK+qy(<`pUC;|^_J`-?DuQ;N<)IV
zq~-EWH1@0Z;J-5{CtSMDclka~+Z{4o6TN%k2SM#=*{#%iziCyOYz-_7rlwvhNNUrT
zfgY|YIRUv_VGtZt)MzmA_v^RvBE|iA1hv3guvS1@emzQ4gL##aEW!r!pJyZ~a#_nX
z-<G00GJHb$ik(FRz-f<TpGHV-&d3}Jm=2oGSmbw2bB*)&)^{y0;VG{_P)M6U^qr!r
zjD7pz``7bPHSy9M%ON`{JD_TvL#x-d{pO!My;NTQLmLJ%UNW^f?n8Jgb(4%-czSG0
zW!mCBtE+sCzJl}v3_Vb(?WIrYE_J?qXYQB6_@AT<$33#9-tyft(?%o^P^+~~3jWd~
z(jI%+cf(i+I`Ey-JaZ~D#}ajyr37?lPj70-TLBX5FHSfhn_Cd5s8TGlg#&6qn!D}S
z^O5p+K-TR2<2YBMV29R^<-a-QoZ>CbHt<irbbYcUW-^$+EkPGAr8JcfYfW#J?^`Z7
z;7`f`)oN!J)!{&5<KuZjq9{O9w(<1k>EKt*f^eht&5TO8K&{x~7Xfl;EcFlHX;cKf
zpu|L10l}1e>FsWA;efxkddDaCLE#rd0yYAT3Kc)p53tvQy4I`Yk6te<hBw`H-xd|D
zZX9<ztcH&wSIU)&<GsHeIan$Fnae2=rHp%pH&s6B;3?@ri48B)5pQMYha+lhp?&^$
zN6tu5O~91v|F5Ba1?5=YFX*zq5Pv18@`WvC?M;NIptR;(Pv+WR)Xmph7~)@LZN!=S
zvuL&=fJX45+&Yr!8I#2Ifg=#-8j`3~n%Rw_WD@Od9Mf#dYqlTjRKH<EMaQ!_wik7I
zRN2mH&)lKJ8JIP<jeAEfk*v~<#eX9RR?AlJ@BozY2BRl*ji<Z(M%DSGcICFrt4`rk
z^IuAd3`@*kqILBTC0{Lv495*Cax17N9^GE59xm!iMusS$7PlFoLyj0OzYq|IZ-yZ#
zi0tRml*m>l;TJZ=JAui7B7+Se&E^pPdSIKjmr~+-2V~1r7>xgV5$Oa^dPbgjpx}n;
z+|}0m|LK)W5?wgrqYor6Kc1h&p0YmF)TZG7rY-?93f?j+pm)`YBYuc>R*E(Gxu<8J
zylDH^bDw?dgAae*I}?!7iSR}KUuW+fj^+Eu4_`*ej+Bf@LYbL&2%*T{WJdO03E3-q
zBxJA13?U;Un{2W-*^!k!es7=eb3DiM=kIv@RgT+zU-xyL=leY0uXPFtI=V8Y_>B}^
zS?l}7b9eK)x=s;pDk+=!MdCe?-e4oL(hqD_?y3cu6`2lc4sid<Rn|(^b5m3btn$lA
zLHkPb2gn0X$7iNP<#}Fyh>CaKeI32mIa+wX(sO;6cN3Xtl>!S4V%MasM+=Jk|AwiZ
z<E2m()QFcc?j#<eT}At&^i93&W>NU^<Kv@{>dflQWqXbmf6?7^kfplaCyXF14@tsE
z_Gh`%pE9bhqQai{CiLK=>MMw(xWmR2Jl_9DknVBDOsHDI8(JkyRj`$z$1B+98UFqn
zb;=;LPnqBHH+8o6fxe5lD~{$B1fjakIQN`hhdqT!j;!tN2R_70xgq_iPrFImh%TPG
z8<glj-kUO;?}l%0ny;X1-Zdpd9SK0it@5j+eSec(rabudmaRf~ACC&l=l2T~Yk9HF
zrIft}!hu#lEizn{bi{NLcN5PR&a_g$@gE7?QEC=wrJVJGZ}|PgW4Dg2@SlXB(`4GI
z*ibvk6MK(w73otOT_X82z-6qT7`Y^^oF4{dBCVMgLDWjP^%AJN37;x@p%;u#FptCh
z!cuuhu~M-4NuvLr4vFAgOK7q0J74pua1R^qvG{_T;IjflMoz+rra3!MhyIlIQS)At
zK)ft+ECe#A1X{lr=5(`87LMG=xS{&i<z%a+Ni6#vrtDR^N0EoJr)eEeP=Y<o<I<}~
ztuiK9a=6XhWeYE`3E!2zDV0!Esko6NraU489vF8_>Zgi6)K5kkekqjj3D@RQrCa2T
zrdU*+8rMnqVT00_z+-4UC^<7(o38EmXh(0*ADN|L`(%vsVV#wH!q*nw{M^8n>BHt&
z$y=q5h4xV-Iw?lX%{&{`k*tw&A*+`2pelor$eX>a!D+HCvYb&eeRRbRWy*xM6q|gP
zf_Qo7xhPQ(kkk2(CXGyfoM0mD5H$(l$3`&|`xnc$%b0{;*n*UJ)IvpvKnJ!>|IG3;
zEAB?gSoYYo9zQ{lc*)puR*PRh6?rPmnZ8_K7Fm8zde4U!Z9%Z<?trh<=e!nnGN~6&
z3&KsP>Atm_gc6MfP1@E!c@TLVy8VQ{eNar^z3q6Q#*Bc70^CpBGzot-^a^gbP|tsx
z=VjDm98pl$rH+_sW*lq}7YaY)6~Y$}b$sIpUk(j{)y}nWG`5X(<lJuKA6F6cTTFLV
zmIeH~_IC8%;tGYM-x_)2C7)%y=NMb$tP+hazF%}zzWF5VKuodhQPCqqP07WfpL0b7
zCUGTCsjkI8a{`5K<w3e<jc{;=`%rr1y$_Dh`7Hz_YI*WZy5OrHDROnB{H9pSD-e^Y
zex<CdtffCu?B4_eNyz^h`{#4RJ56<#VqR)DvqVZmG`5d*lE5O@*H7y6u+b3w=G91O
zxr3XBTUm~div3sdF;f`V)dAHc_t|@l%-AjBaI-cRHw;a_N*Ch|$256dx3m*`K?VEd
znN*UF<}U$XK32Rk6<TBcWTK)XZw_TJSLA2mVs${J(D!Z2_Q^XMYvH=#U{gY$$8i29
z_$2>_Nod3;>7Bi;L2z}1uZ4SEMZ+-n{)v_5t~~Npjara8VJG1*%*~p0gy)y)7>{!P
z=&9cBS?h^^5B?Bv8ecxDb~W-_{0x4&XlkX&8YQ|HxM#a%i##6hC|&Obp>wq3^JeXm
zzbHLpe$rVlt&dur(Xl;iaxegvB)V&d=e#u2z7m$(tmTnq^`1>j%f&c4RJRpSWb(4L
zpUCU3bSXsO5V_wo<Y^=R_u4j+;@)Q|OjaLopM*s-CyM@mWZ%Eobk4Tcz|S|NE~@5$
z9~I#1tCHK9v%b0Fv}d;$alofJ9U36y3ELo89`l2;MZe^9=0%4ry2`ZkCp|1X_zFIS
zm?^73k2?ZUunSsQ>^Gm`TjG|grg#0Lsu8xF7|UiQjvF=8SRvJqY3y7V8LM&pP<(5a
zcA|M8;?CD&U*EE3rFZzTo1yxNx;KbJ_T7BhtfW{}`MmE5yc#WtyV9KTcqUCckp%Ax
zI^N>|oZD1}3mPjA#d+;*;jN0T(K`h%e~DRA`6|#7)IY2xmQ$FqPWaaZQ8?%<TjX>T
zk5H1*EOm4&>*RFKw#1lCKH+!1=3aj6{A*H;p8u{T@WBl`{HQ`|s!#WZ(-MD>gx~SO
z#(wgvI1t`*<MKU8rno&#@ZrxtF&b|k8T(>mn+5$7Y+Z8u?{fy2;U7^}w=e%ZGx3LZ
z^24;aE8-Z&>ql5R<J>R73zyPE-q(qq0le_#*MoieyRpfn%U6BU>+0Sms4n{#QohQ-
z!DxcNVuaRDQo3{bvNHq!YBQn#{pDlh`O7ye^B(mi#=BfH>cfwDER8>2or#Ax=A`|Q
zVpDq1Gkng*n>aN-etfvSpi9@h0O;kP)m4bdDUTqoE;IAZ+SHn4|9^Y;PWs#?tDrm8
zc1~ks&HsWZbSog6qT%HvAV(lEgdnV$8DSLa<A1GrzW;Aq6w8hLv^0=-do%}L!@J2Q
zBPE4PNH`qHKN+hbU7*I-AQFDZfHNL`APfTZj))h$sJW%3s=699fWyCj$t0n!A;myJ
z5fMdHR-)wPdp+*{+L@)r5hqxDC?1HpTCl1@)(4n2z?Vq^Z>&KM0`M&WD40IO*r&lQ
z<>lr713TO<&JF<e%N-8|4<fkd`Yzw3*m|m&-~B&K#WC`#k-3g=mA1!1YZzddaj~(j
zZEe`_gM|g8(!uzR76Ur~^W5Ft;RE1O0T=+lCq6P#g#O$r14G(hwd?12)D>(2;wk8L
zp@kl|3Y_S35qqc?1bR2se6^OAmM}^_HYO(1$Zan2P#{M8P0N5{xKB@yDIGO0^L!>r
z=wjAwB{`j7xFB)XvyGTlO2^To#U(3pXn1&YvT7GVJ&;R=1P5m*Fkytnwk;Ted;Z1^
zP?8jauJ+OXWy8L+-Z_Uuoxw%-P4dBq>GSz-)I-*DfAJo+gocH=FUF`ln&wadkq07O
z4~R1Zbk!H#2Rf8%N!O`jsGk1&)R;ZNuJ#4m(NNY~^w>%wq9Q+<FY~K_Ipe3NHw2Ew
zvHG@}B_zrK&^kLmztcn{3<4ZO%MRMnYc(0Qv+&`R;IgcIt?hK{dr9?n&7mOj5`^l<
zsxqq1g44j^z9XPqx`?|74dbE`q(W!F{J~~YuTg4kA3r&n>Tv(dhqn619*b+tsWxX+
z<k@6jH41<=A)@5{Q>bXOxY3okb>s(~*6Kuh1ckVSlCpAz_0;i@y58#I#xy%V)?J8T
zgA^~&#B++;t9gL|_I<L}n{2A*FM!c{qIC!GH^B14y9Hud^b9IhXothJ+2rNqvXycH
zryTGYGuZ+`F`#il7xlGV5f*DwCx_Age&lK|Vp@tHWN1*6rO&FxX<F$N2N(7T@N<zR
zheJDe9Gm;JRdHh6NUAVvXuQ9~m+Wa7POuNAtv;C;Eu9wKTTxnXKbGH1b)MRc(LM$w
zeIIS>XwECE4p`*b<UJ0O9C}@PLf9GT>G8?SCGcB+z6RkoJ7}KaZg<A9dtwdglRM2f
zUxm>RkAdP5O{0c5ogzrr0U{R_740%W61&-0S!<m(D0ZgPON=jtSujWioc@rXGfQSN
zv9g{42Z@J^iyvR&CqfKVaFxUIC8r5e0%LC9wgsI^Tkme;yQ@^_`L#U2VS(mQPEyi&
zUl--D)CKc*Wo6~`^wfk)$iLXpPxMZ|1aFZkI@13unbQb2uJh@@5vriH_JxK<rNzh>
z;OVYW-BHTF|M)Sty1KvjYL=22a2+u8BOU1i0#-mH8p{wKZOBQ<dCP<|3{UBuX0q5T
ze>@BnRZn0D19JUFxaWG|m1a8|c3FnEjo<A7NrwRjFk_S?w~sMx0e;vsE|;C(pMO2R
ziF@lEVRxlt&{H={D;~#mS4qisz-e!?YI4sryucpLP83b&U|?9PJ(#B4eiMavlQ)by
zpCMdYdg>`%D`_c;pWg%2@j#c^SGgI6J<%Wl*(jig2PsMilTDfI5AswGws(wT=Ul`@
zMFFYaYq_ZxTJs_{LUlF!S!O&`8&T25J}z#%q+jDdEiGQ5dug62=spbnB!Gofo$5P$
ztxqjbTJ2dtXm3my8_PvXuIT8<r(i=AQzaN;WD~ncbuqV-93agOI6;h=l!N_&LpSW0
z;EbX7+zIdMwf*Po&rHJt3RHylRFg5HB~i#r^80)v%MBO;C8KJ&+-2*vZbv)dB(XzL
zVGKsxE|B88*!wJ8s8@d;6k&~jck%Zjl>qM%XzoC7NaHEEd+u&R*v9k7#auCp5z(%0
z9xt9VLQJi{g+xTOw{H#hPLFl`;E>XyEY0nhCeDYE1qoK5a5GyQ5!GO%i&}wsm9JjJ
z%i%78y$~($(PaEqRjnG3{NGv?tz<XC+1cMreCJCt#cgiuedH+wO^oi|Me4<if>d?3
zil`3D<KrB3Z+Cg3Zri)UhqJywzv*Q5lcyMQzkFQ%LO}r>Q6@cZJNqUoc}@*JOUJIC
z$4Uk0=*DBDq{Mui_Es~VhTQ(W=z{TMXVFbSfCq7Y+nJFuj%ApNDw$|_a*Jeu$0{Km
zBMv5vyp+`Z?oq4zJwMf5z@NbaGqi=4^+P1LzP_wJmD5Ud`SggjE!_W^cv=0S0cAi`
zV#1%+h&Txe;k}^|U5l3-9{=dt8=gEiQ>uuLc5TIv`u_de1R=z30m}lD^uJ5KSDo8$
z8n~i?mCYFSW3V(rY6u<i^>%sNiFh^ityDka<t6%jD^g;G&}!n_Mn(PEM*9c<VmCmz
zA%9Zlqs83D6dr;f&^o9rmrhK0+Gk^Bc}~d;yl>ctT%agx>=&h8y;_hYGrgh_WDNzr
zrL~pfA6wv7)diKXN=HNK*W(kKb<gDFZ&OnNY_Ea!JJ{atXm9736!jz91$u*GT5LpO
zIp6SWT@m5lz#abK^73czHb#LT2Z}7T+o(mu*ZSw;4v3$`TvzyQsce%zy*b?y!S?Mh
zQj11Q%WgH>!dGWd&QwyIn1~k-84|fP2|#)#Mapgc!t2+s7ig3;mffdut&<uM#vn?L
zMMvD~e5H7{7JENFJQFW1E8Xo-eu6c-xycqI)h`lF_!G#~ZmTBSu?ibKadE%75Q-u5
z9e+GD5OTAq*{H{D4CUA1UKyIHXJig}{WqmFRj=s#_r_thiP069J$XaF1m0*f%C0Th
z>+I~-Qc)daU}QNton>X+CVz%Yu)#Sg#~IHOBLyC`)a`2d=H1qTEa^*o#-9&6Zx33H
zO-}azjbUO+mVVU`oYuIJUr{=^KhC39o<K!1u(83)&g{S#onA2#&}5gXU~6JBlqC(4
z?C)u`L2+?OZ4ObAE7Q|EC9h&y$Ek>kZGjU5X6jaA|AUglf1=H0bG^bBr}txuRFqCm
zp2J0biXvxMdJqG)C14+?ap1AbKxt!4bt9pqJW;V&-OT2SKjR*k+zgNZ__5u%G;Dma
zTeIZQ;}~K~FU@kF)$0liTc<q?#YquMD=SE}RP;3Ajs}Ai=xaXfgp`(=8-fQVmR-*S
zHU&|vgQ6wQQ>S}_^6<)TEB|X<2|OVDtmCR6!`V&iHw8l8B>fH^@b%$XD_2>x_!jM5
z^z>#1C!Wrlap*Vtm6dTjXnAuGfs&#(t>oxKngUaLdOFiIx<<8iY+RghqF3|XPT<oO
z)ZHC{OnVH183!$Wes~R-4VS((o@#uv1_#^&ruH2t5j@Z(^!D<>M{@zeC#<n&84Sw@
zD1urh)jra64$JZ;TJ58X7-pB3<5E(rt(l39MJkNS{O4Cz;7-8RAHiOHZ+G{tea148
zmevHwz~JJXhqsPSfyPgm2%a-Y7p{(K@$r3>ID%JNTKa<JMu2{8Z7qm4czFfv>l7s&
z9Cj=17P?GD?CeVN^O=1cXrm;NSs3Vz0;(`igi>u*36}K@8mi57*=3}qGZmOXXO;bQ
zU8IK(7Z@3?k!LZOz|AP-e$e;~+7$3A8v0mgOkp)-yapz$=eLV3c>vlETZ6{7=4KY%
zn!}FO+Zgsjephpb%qhA9SK^OnQFVqLB#mZ?iHT4$AaYZdIk<B%d`F`0$~ps5Sy}lp
zl3752vWbH;zH4FIX>;;9r`f~EXPKZ$WQ^_rHOucPT;6xZ<{;OS@d$(Tz5kI&np#={
zptm7q@P04(DNfh*D#C%!3^GQS80wG~$k*d$EgE_`R&9n3{GOloPs6Vu`#{TxkB$bP
zCMRm-&sZs=Y{Dnc?23vvbB+EmQ?QA^?i0Z$>vk<O*vH2Qq+x?QAb9x<+lH;Jtyx<X
zFK_)gX))xna&bA>-r!HJ^Eh)o<7&nbg8#RM-pY<gg9_F^_n{y{@pB?1)araSyn1PT
zCA@7(ce`C4v(1i<BNQ?SHCUGHt6-U;wo|^Q7SKU7^7dd8*mEKxBE;0vl8U$zf>npM
zo;cw*Nl8iRy8lxhWO+gy%0E?5R76Bbh~<@#0PfF7G>m8D0cPb9fdL{}O8=72e|JQK
zG7R{0Oa#j}T`4!EZVo4e@xg<i-0HbSMPTlvgXMB~YHDL`4ZO)GCp0CG`Qv473;O7(
zs`7Ld>Vo<`IeE%fsu&&SM2kU5Nl^f7b0;S!ZK>EFJOBkgGaFlYaPWW*E9}@UC@a&6
zk*<#qeQmYTA>7WOT-(#LUW4UQ*_JzlJPalmaAMgO9nb&~0W?x*X&D)fot^oROguQK
z%y+d2j9y>`^>u(9e?t>GD8R{=l&%S-)`Ns>?!(I~(3E0bxnftP{fg14K&xUClnZvY
zwt>OH^R_6ErVQ5ed!D<A;l}gX=sG#^`Zk!Fn;&=TopTy@k!M;WULXm4RZ3fc_>1a8
zubq<v`{lR~A56<NA-r;F$@om79GJ!c0!n-q+%~(6dSNQC>%M#8ll7{hdUbK}U;DSY
zzEDYS3S9rMmSbP%KBTEUkT{YFSCoAD5`;X}SJwwY01OR-92F6l`TUjyZ~t8y7T4r^
zFznVi4HAQwamxf|nVLbY<;Qroi{<*;_vt!=M!_*tj1)ILKQ2gQ)%r9_`)H=x4aTag
zT>qJa&C8lOG`pn44m3JT-_Z53Kw)iG6p%vtNof@{E?xht18&f+I18p!6>=m%vqa$F
zd|f}iK(jors%i|XiQLntEv;dc|4+?GdiV;ge*e7|YDSrmyW>}wglusZ*32@WGcpWN
z7GVWgP=6RM3F8>41zulBr3704e*B&|kkw!l=~fkJtdU6(JUafj9`L!%4gwt$c;A{e
zD?W%}Wo0#`d0Ff@h3Qof0^U|@=SJgFVc7WS4@;xUuHFJK)wIiUvi@**u|kf@8j$;-
z81r8B7o9slI|0x2yB9^`bPaae2M+}VPT*I9w~Hz(N4G>PwKri|;FOUrzz7-X4h#%z
zY!uD>T3KC9=<vt|s;iXLPgrt6wlzL7V&eQPOQ~aFTY=G?yA+(V@86SPkiK<xHZ32Y
zvs@e=7_f&~otKw)c5<MurbfaDv%c<lEgxib$A^dHy5MS#^+uyAxQ&-`AO{m@q)@AE
zVH;l$rSjs%rF|4O>El?9=H>kN@2^6T^mSa|*%?9O6UH~q!C~X-dJLiq*_`Y8JbwQE
z5X@Z&%RlkK`ue&u({(~ZLW;0}Kt4+rXyd_V`?b6rf{7nNmnD30Bu^4#D7vSSuCTJc
z9>Twhd1Gc8(+gx^w*{QKw)UV@p?jz0<g{~NwXm>gvP;4V2g5vQa;#s%w|$|ec7vMQ
zN;C_{Vjivu%eqS)ifNV-G%^r0Jl)s#QWPW^I?dUG9v&Vb)C7U!IqBnX85#3Yik7#Z
z!`(AUbvO1wQwwUT;6no$Wot`I$(W^>acu68d9F$|sB|d8Vxb5?k@)jRMw^o(JROR*
zHd`A<sAxKLN#Wsy7#m&f?IK~aATE=TxY&;H)Gjw4B27#Jbusjd2@v!h64D6^_v?IC
zJ1S6R^_z10me#<H=a0kk0+AspHq<t6Z}0v6{g-b4-G|@5{bH}K7GuF+q84zHiRZj0
zD0mtaKHAquOinJ@JWCQJejFW15c&#b-1QN(LV9&>F2e;cKotiXDq@HP(3h7dGPk6|
zfpKvR9SKZXqZLDtn=uYRvaGw_y(r0m2tqV383yo41V=<*M`yHMO1%KG2v9fqry(Xx
zjlduULCE>pUr*tOMiv&#C2@w}rg)ZltGGq#B9px4$18YK$jCM?9|u5(iD@M$#(;bu
zWd5FjqO`g(`tgubQ_IptrBsf~GF^9t?nOjZHO7Np4CyoFj&K}l@Xr}q+g<McJ6h7z
z(eXTg2<qex07T9A#4_4qV`DFcLMukuLTUpr8j6cKps@wVF<cU1R9AO**j6EE8_?t}
zn-<7nhr@N}PQ%0mSpLJD9f`U@P<!xa%vX>oy%#*IH*ei?S?No^gMJl65HJ?2w5LZ$
zD?#5h<wDg4A>$YA9><;R^#wEXZ5$v0vw*nnijop=^6G*jNwNP`jMU=l;AfB-${Ym@
z<30COi_6OFHw6*OF+{b$4s0)=2wQ@M212|cy%#zQzQT-}8bMHfmS_M<_K4PJ`DNe>
zdszE;3fcU~9Kg>^<9TWqIDHK5F5H$ZrB(RWvTrwG2fw(u7}a5j-vkackh%oue`It0
z1KX;AO%Cu+gSL`Hhue=Ze?S%?4ibl34<4r`eDlXjFbu`s5yH|i$Ph(akOEW3)zy`7
z>N)34P)O@mJLb+M-VD24VCbg&4)z=Hv7l~CeV4<fl)DFBqbpagNOE6`SOBD|%4s8E
zjyW*p7F3_CtSdoFcT0FdGYOpoP42lI5rU9<U!D=*dAbdu2oP9IbsviH%=vx=1UYaQ
z1d*ddJxoq^KityatzN%0fPhmRBI>)W+8u(+{|&yjMJ2%&!r}Gk74!xGd7@0|@Wts#
zpo(pbl`gxG>&<UF-(=GUlY36;9txm8G!drj&tOiSAJp?X{r#p7B^6*7_r;%NWlRM6
zD7q*netxjG&hYAEWL)zzH3JO|T|X5%^PkV_AT=t=%c}+j8a%wzZd=9xeb{2&OP1^H
z>=erg;=twOtN8l$D|o_*gpZ>-{wFOZ4O$`vXap01?-3jO&2e?$(sOG@R0~KSxL*Vw
zKC}Z3So;Ps!w*Bw-JKmj(K#?zr*4Np#et1FISI-8xVU#U2SFMR!a6knsqPqp#CJe&
z4e(%u<(z2x76>ABzFEEy6-D29)Vu}l80g7I;9;l8rq+VU9bz9~V+k9)-ZXyZmt`vq
zPoTwvb`0(_EE&(5?}7vm<^Xt`YAi<B_Hc0?`mChvfg^~EbvFG@nnayhDBBc0DAi}&
z4|Fs&$9=Bgf#O}p*%!h%92^{Ax*Gt{varyvz%YNmVa^uR=qB9>MlWmRn&4c6OX*r>
z<^rhwykjwLb(;Q?MGt%C0Eh?d%u2@ozz)mH%L`IA_><2iZ^cMukp%hmE(0eC`O-zY
zwXP7jo}=vR%zORD4ZuaeS5|`97T>`hCqN%ckFdiMen<<y;|j5o%piGfb#8<tJse@6
z>+XIADH=hP?^9AX=jTNkqV?RipCa)1A_4=!sF5V(&Tp<m*X1Kg&u=&13_JYBrY12l
zv9r@td>d~tS&WZsf}Ct&8@?3SCL$?`us<b6+>83~(Tnlp1TLllt=pw8QTXxW<jzIN
z-uCqL6cG51wxIx-@yokLobe*GrlzJJK>;63#!N>?*T-}k=;gRuLOUfccma<4D9PqU
zdzj2YT+4i^dS?sf2o4U;7C7Da_n)!5J)?3IyM}`oaH%kpIiqI5OuSNmGWEC1xNqgh
z&*j>?#5m1?zK*2cBDA3xs|+9!C&wO;g@vDk@KYj4#`UQr`L5w$HliY}>A((e2OmmH
zjI$t89Rxwet@<8QmiNtbPv2yHQZ#VBQTQyeo_$8Ud|jdQ*J`~qW4Hi{x`un&3v)!c
znl0}JkiKU2xdpPuDzOq2Ue2x`JhU_uUs!10Shy&>tMNTNA%y3R{Pex>B2P#6A48h~
zoB4lrc+xcnJz{(big8k+tRb=Sw0@cSd(4nYe$3QQAB-!_E-$`^p7HU%VrlB=eJ<=i
z6ra~R*_wdIgZ!xPVHecEK^EJ7q9Mw!_=IZHKQO)3dP`7{oO+N-5+1vN(mk}BBQCE{
zFPniFFj~;Rm&cbwgc`g#n#es>G8(oUzwuO*R9~C(Abo#KdGRTc6{`(aL5-X>Mg29s
z4Xd;dOppqPq%BxW$hq}wcuvL&MWTDD&@N`%=J%*{j2roeY|J`NO4l>apGn#B;C4@u
zzM=fW!#xG4<Mbn4xEGr#f;~tx$6VIgfl!D=bBzO0s*I|zdinK=%6I4H3kd0Xp%^&y
zr0VWpE54%hTIY1#t>-@BoM1$L@-Dkvi!d|A7al}pYO#9aqEZ&s<dsT<<hZK5!e~Pm
zX&MUnw)2fp?w!Y@>l7`+NBSSLCiJH3wpR&y>QO}NJm>27+i(8T&AVr)*-p0fw^QAT
zndZ6>@kk(ziPzJuP{+Xl{mc(c&##kQ@TYD{(ok~5qHLDUmRHuv5AD-D=36J9$%GxT
z?&a5O5+UJr;UsmKh^Dj_nwMxMN75~JOOFPRnp!q#J(HPan$4Aq+)odtR3&KIHUq2?
z)9-`eQA#>XdY40uG#|8lllzABX%76<Y<E@ILXhKTcfx5x^Z4rWf*8r+!O4Z$4FuU=
z*sw~r(mR~OyH4@6o=PSx%BmfiCHcc?F~Kqt^aU;eiH!TmXVmn;j;qy9-U0jO`n9FG
zKY#yJY^i%+!xLsRWPN$WzEcDv^;x=I^6v*`A6`C?(YR05h&0>MZaTaXtMFr2bYf0E
zO_DSuu?w1O#PQ%6wQDRAEvGoKX|X%q?D&2xH{nvG{H9!f(&VpE(VFUGCO47N%ty|T
z6s&S1@^x611xk`OFYISLqlA$|@xxioq{w14VH(8rzV&v(;uQqGl{Y)KtDnn?C!WXc
zRGx^ZRK1~ztIhTahvVWLtLnLb)TX8DZ<Yz-D8Jeu+ko+wrSd%c{d(#8RWpxIXg3<T
z24t6!<?}j^YK&xYhNyP>R*ito_iCBck(K3TuSNGT5ruy_$PbU2$K5Fb3#eIIi#Rk9
z6WPz}^dl+Rw{>D4etDIB;Zc1~GZppayZK)u`8R0?ohMewmUdJ$3;f1`<B#>WFiD6n
zIy)>F-%S0rzv|TRaB^&>s=RFIZTOp$WG8GJY?-j_-NQP?I`OOYoX_v6Uc(~Y<32zg
zqYNJ4Bis*U9TZD1=q`j5X^_#-5;U*y@6>WEpBq|!3jBsA_^+NC*?YbJ=$QYfzx@MW
zDI*1#kF|Ge{I%090-5dPu_(RB8JgYqgSM`z1_?F_enQV(c9frge^@s<Hsd1V`s$*P
zp2Te2=JTpR;X1wgl&Xp6^0%+NAdOWlZ+Fl8u9j(3%|)Xw&>fzwXqH{~Fy>J5%_nJ!
zdqD7S<)jj2x7xB2BGgHQy*CB1oi(KuL*&{IUEJW$%Vh`{&K|Us8}yo`AhchuO+=J3
zihCK$N0)a5aQvWic3Md6@#q06zVe2r!lBm+1LCEWQMOxlH~b-)+P=;$#IJzRta?c0
zNZF|Q3l2i7+@Zo>zVlfMH%xTW0Ndsr6gHJsPv1ub);16BNlmH3?~N4Jzx+ZYBp4&8
z>#y^*uwk}&t8j=Qwp1q7j~x|6V<fM`*Ct1j&XTVjq1zQ|w38{BUYGF?%6saCfsFEx
z59{P+3iQ365xu86r&;s8gc5-wv6{DDz3(|<y3dV}3p>=%>d~%8%4+hM*_I$)uTcGa
zeJ{w0xkVz`bA+@W9~3#Dd9615F<UdMnI4@OkjAO#@rpXH4>M0<Ks`SsF^g7FVO_J@
zcx~{Qsy7Pv6NJh(Z$kmQYQl9oBefN{&rqaX?^K~sf$dLZ%R2pWFz2Fpq^Nc!pKe}6
z`|iF=zr=`aHfIjOBLa?<W#0u<OTd8A06M}gp!vrAjh;#Bc}1E)-;t#dQZ{2|!)jG~
z7BL|nGLWNpPk-oeCRDxi*XtLrg`$LHh?bhTZ<=#I2+NV;{(*EhCT;UwvGmT6*5~W#
zc^iJ<pdk=kALL9wIjH?2(X!{F$3@6O!s7&=WBJ4}kF~s_aD*kpY=8V(Y)Fk*PeLz6
za`|1Hu3HtO%#)qWlNOH9>uNW?35XaUzlOP#T7S8y#a{WpU;n)S|1O;WH-FewMN~Xz
z$}{fHd(vgqQi^QMn#<C^C+W6oEPZ*MztCtU`-RAf!d;eYzbkr?U-A-{>vFNjlnUgR
zm5)!V(Gp|z4-USvCMA{+Ft^4?VS~LtWQ%|=^LVF|U6wh$rp68MuO@D>bOjEGRbygf
zv$nD#z{mf+?F@EMkc&65+|rk&5^^Jle2*z;wM|5!|J&Cm{9ayBA%H@G*&7Q1JP$m-
zkmUwmxXZQ)P$dLxUcfK+^z=04whxr->@UGaI*wgWS5-Bu-&Cf3dT6K|=mh<7TZkb8
zHhdn%$M**I%s|({1w73N>XS%U(5`cf?=XB2BQ+>>nO+1YJlReyJv~ndIRn;j$60V*
zMp3aJhyXR%))}+}gKfke%#g^|<-t_|XQidR1hs#*sv)(8?OW0&&>|`@Rdb=jEx0Mb
zRy}VHB6HZJ!rl@xzC`Jwu;OT=I{-KfgkA~+@}95B49(2IkRrRjxygI9nx~Wt)~F0h
zCR+ywW@cutLMFebT%!%Y%z64hV0ghHC;;5bC7~Wd?pZ^FzO9qH9`&CiT>lIJte{=9
zsr{$+@Ot7)U6IS5AK*)LG=amr;GB#=8aW`~hYPhrLPFS~MTWKkskC4G32v2}EE)g|
zsCi|5<9kZiUjeoX*rSus0Qr9vkqD=HF6n&8pjfB|$QV3r_<`qzHU=0c5fv&jKK?m3
zV=uI2;0}OevCyEcRh>LW6+UCevNJc&6RQ^k`(uaG`RQ&iP@O}<%HZw+dz81xOZ#}7
zPV}~IIExF6JA6DmXg>gh*HTw+TeJuBXOZ;a<YZDp!Wy6(>gs&7ZvnS(b2|n49X6*d
z(DKtM!VxPyyBAyUgdLrnr0CyE=f)L#6y)YUN5j?6DwhAnCsPV9l?hyeW6!=it|~ze
zhqm^grKM-u|8{r30}sfNU#!hiUh4veKfstF<%y~-F(KiT(tV`4wRNra;Vt}txHxrZ
z=R=@Iuz$1OzkdY%JcLo9&4Q_?s;Y{fq@%mLu&U}7q~bW7`JQ=d?hj&qjC>>TS8_Va
zYZdKyY<G7TV%xA1A&##a62Z>6K+ymXIvV!+TyQEAAU!R?WPfXRd!U=qbzRN6R(UgU
zIS~eD9oWjD6E!FqZEIt^d-oOeS&saVSy*J^j6ts<m9+z*S$jJ>1HAwteusb%ux&C#
zLsL_Kaei`@lmYZ0?vMtD3Xhij1VA8YL(qSqF6<gYUwU?3@J=q39&s%gqa)!9fGfNI
ze%lYnO<nfL`n)kxSCA_0l+@G<Fs`7BfZ-m_unNkDtvaAq2g4dHv3ZGL<^U|`&Ye5-
zB&*=L0=^p!;ZGKVbUd8|KoZX)_`wHt0yemK6d;BWw86k&3^qb&5)fO^_yNRI>d`Be
z5^cF|DImg)_7VUK7&z`3{`OTh>FIZPd1Jec*X6*4^WHh29_|CU<;1EVQQ!~}eO6!s
zeuw}Mj}+G*kZkdH?mtdi0USZgxO!<W1o*^+Gadmj7O*)>%Rk_!VUSCbq>C~)HwU;r
z@I%YJmh~CE-bXDj_Wykyv*~4!17e`LS--nh7<d9hLwdU!u)zSm1E&qGtc=3Bb2UN~
z$r|Ru$x>O+Op`oL2H6ZuWpq#v4F5gZa;}kB1OJSfxHu+a%AEkMC7f9nCHV;)m@uEw
ze!y4#ESD^Gkk%`kc#;@j@BKtstW2|TO_4ZLjvs7Ul%Sn~A_HO<ph>|X2CmP`u$OX8
z1UQ7~&c(ZK%EZ0*R35~1E`pCVvcoXB2#ygsdjkC0@6AmiR8fyQ+AM&t0Dh=E;DNK*
zrfXdOyT{Ng`ir6=040F=B>%kJ{AcX_<9mQGNmS>1w|>sfUdwlZ+4JtdpSZZ2+fSb{
z#*PEB1ZH$V(r+PP#T_ovBSK(=LbO{oCO~pDZd=~xZC+mRtiO;JfsF~yHG`Ci5OF&2
z^K!;(D=RPj{;i^=l|N(-0gh0x4LM&pIej}PUj#@F@LsG5F6dZCM>VF}07ghffvGD=
zgw`2`sT~zmWPx}Y23&B{-WsFyake%yHKn~h2L@A81{uVwv9a-<bnFU=in{u{fPgh2
zu(`tslubhQH#PZw)P!F%#&rhSox<pA9E2=InD$BW@wZ4x2Y>y#PD~sLL?GmX={!P(
zdqO7H+1Z(|?0EI-^}aJl9|-WA`e+Ol8s<3Ir6y)(JYl79KY7+Nuq<KFu+9Rj0a#k0
z%RV_i1_=*@(oq8+O+{58eQAV;bMQ{c0a2U%;SDg`G9XsV%OHOWZkdNFnz(|3Q}G<Y
zBMnOwfQj&!CMs-}x1C{7;Ns(hZSC%M_%!C__y<G|ZaIiH0RFf^Mh5Z(im>6nzG9Q!
z+XgsS_5Vp`4ZvUmfs0JK!gVsT+Pwj3So0tNFoW$0JjiF6E`V1CMZl?eaE9I3*cjmN
zU{pPVvV0i{`e#(%#)b%SadCk=v$wqsK^U5aP5`~Z6~VLwd<EoRmwaGDBMkFPry$Dq
zQh)?GR&<*5<N;tg%>DGKxuYZK5W+GA^&24sslsVPQ&_nES|v|x(3SP2KF8Oup|~YK
za%i0lpe2?!hQKt4Wr?6t6BT@?q5oE*Pz?qf<nX0B8`BZ@a_PDMizzI$0wk407Ozoh
z29E$O?3q@L^TT&dV`XO1RaQ@EQ;?9BMh^U=JR|+&Ge-mS#HvCOT72}X{1*M>{~!VR
chzsnmH<>HM(qBXLAc8!9DkuI$^rg@L0eVd+@&Et;

diff --git a/tutorial/figures/wf_6.tikz b/tutorial/figures/wf_6.tikz
deleted file mode 100644
index c457e212bf..0000000000
--- a/tutorial/figures/wf_6.tikz
+++ /dev/null
@@ -1,51 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (-3.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_blue}] (9) at (0, 1.8) {{\small $wf.x=3$}};
-		\node [style=none] (10) at (-2, -10.75) {};
-		\node [style=none] (11) at (2, -10.75) {};
-		\node [style=none] (12) at (0, -11.25) {{\small $wf.out=45$}};
-		\node [style=none] (13) at (-2, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (14) at (-2.25, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (15) at (3.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (16) at (2, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (17) at (3.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (18) at (0, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=9$};
-		\node [style=none] (19) at (0, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={nd_black}] (20) at (8.75, -2) {\small \textcolor{blue}{sum} \\\small $x=5$};
-		\node [style=none] (21) at (10, 1) {};
-		\node [style=none] (22) at (14, 1) {};
-		\node [style={wf_green}] (23) at (12, 1.8) {{\small $wf.x=5$}};
-		\node [style=none] (24) at (10, -10.75) {};
-		\node [style=none] (25) at (14, -10.75) {};
-		\node [style=none] (26) at (12, -11.25) {{\small $wf.out=179$}};
-		\node [style=none] (27) at (10, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (28) at (9.75, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (29) at (15.25, -2) {\small \textcolor{blue}{power} \\ \small $a=5$};
-		\node [style=none] (30) at (14, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (31) at (15.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (32) at (12, -7) {\small \textcolor{blue}{mult} \\ \small $a=7$ \\ \small $b=25$};
-		\node [style=none] (33) at (12, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={wf_white}] (34) at (5.5, 6) {\small $wf.x=[3,5]$ \\ \small \textcolor{red}{$\mathcal{S}=x$}};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (15) to (18);
-		\draw [style={edge_lzinout}] (0) to (18);
-		\draw [style={edge_lzinout}] (9) to (15);
-		\draw [style={edge_lzinout}] (18) to (12.center);
-		\draw [style={edge_wf}] (21.center) to (22.center);
-		\draw [style={edge_lzinout}] (23) to (20);
-		\draw [style={edge_wf}] (24.center) to (25.center);
-		\draw [style={edge_lzinout}] (29) to (32);
-		\draw [style={edge_lzinout}] (20) to (32);
-		\draw [style={edge_lzinout}] (23) to (29);
-		\draw [style={edge_lzinout}] (32) to (26.center);
-		\draw [style=grey] (34) to (9);
-		\draw [style=grey] (34) to (23);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_7.png b/tutorial/figures/wf_7.png
deleted file mode 100644
index 074fbfd9e75c32a126a000c617c0fc0ac0391d07..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 44779
zcmZs?bySt#^9Bkih)8#LNq4uDbc52}-7Tp|OLup7mk0<*cXxL;+|B2EfA_C@)^c$?
z@2;8s%(G|qI}@THCxHNm3kLxKf$&*UR0#qC>JkD1(i9d7{34z!#SH$ux0C$h2m$c{
z?e!ldL~<%N1Ozd}XHj7lx75QWS1o1r6^PTAz(669-|(NJ!n5h#{Z%P(maqL}ZCOU3
z*0LPYr&dz0%1cxiSubBO{d3`GV?#ViHToR!-(U#+KxCG`UN4OT%*K&nDVsM>mq?pB
z!~8eb%Z@%bi>$Cxd8m+J2@u#HSiMalATr6`LJ6;Y!NzX2frJo8^v8pcfgS$zE&#Rz
z0^(L;(iP^lEd<+p@SqdT^?1?!;i%!x>$y_-M`UDzB)PZs*2SH*wY9UeGi=ty&Pb?e
zwmuOo1jId57Xrj;$Y28F$#UDmz<>pLhyrzNV`Jmx<t1asWA#G*pFe+=T3iLaZjnhg
zcXwx}r#XJTfrJpM$Q(g{$fu^IJ$Ssk;B`5iZE-zmwBNwT#}^S1`KqZ&OG85_;DwEj
z9(bgt`TFrZ-~9aU-S<er=R_GwvOpu2xhBUQmCxMV++t#4&eDP$9M{)J3-B;G3nw`6
zz1d=+V30a@2M7q|cVLP6X1@d9n+~TI6&Ghu>_tRG93LOUlJN5Ka&mI28U-LbI5^<4
zTd0VL{LYt6kt9dGmS$zG*&0l^$!M1(Pv&;qemLo1jFYO0f}I!}t1=tQetEv>fQE+t
z%0&+WAq4xX&X}a6q_#G1HMMxqANH*bB^pVt3JnGvbbWW3W`oIas{2MSLY|VjrDaND
zBA4T~j8%*Z4Zq`d7|lmh)14ya0vG9*+p~?VtSqoLBNlFc{-x#R<-Wdm3wO(Hp5&+>
ziHV8H$Ub2ez(FwazfDC#fQB%G^JD6~(9zZP-RKQxx10{!q&_=4Tbg%9hZ9p&R1^{t
zYT##OVbRjomI%jXzr}}w=+qPXZU6xx0vi_}|NQ)L@&S_$Tb~CmD0{)I=sOb8{r&y*
zV$6`q!u)*1sT~BwC|WBOq#n)b3WNU(=nW55yZ8!|&O#x(H?LoEUbi27!r<O=zW!yR
zLH_?~u=?J*0<IiU4f-8~*?T$wI5#LwjK#%8FY=J6{!QrwhN+pE3A0)(9XDa`iJnj_
zfU^pnwr2MW6Dw7_E1aJIE@Z@wke%oV4yvca!^0iV_k&|&(K3`R&CT}@4>`i6aLbdE
zqB&zazE4-GC2GzeZ1UwZbiRJ2iI${B|9L%v3Za+%e*@Uj#97$b9Ivg}-(T*@rf}$Y
z;M=L%QBhH0hB{yFjsbi%E>LDEVB_O^?TzQHuN%l_0Q2R8`42>$s$HzCtWQr*Wu>Kb
zbactd$+K1*Niw}02#qvck$s+5Q|bf+1k%#dpF~6^)uB7w&J2WvAfhFmTwEAvX(z_!
zpde)6fvOS<kpv$r7i?#(T=evauN^fsu&+NUC`9Gt7<zlRS#Yu>Jw9HH+{CcN^z(V&
z*Y0QN>+1uU&yHBml&i|)LqOC*0?7Su8wr8+lr=2xUqA4=9s}ch?)X&Htp=@rqBJp5
zyt<#!2>`0BhoA!?1N}U+*z1c32>}DS-SkQh-xU2;|1*4X=-1%@Szy50KtOc&Y-Pt#
zDQYi8y(kokQpsmOdeLvb2h;`j;19psH<x44i=CWVjmbs6+K#e9Ay^X41rnlIA)&Rk
z-Tf(&7ZM17lvgP$W6_<C@#m|dwcEqUQB`yVHqld4qw==w5RZ-{ekeQxIiSEwI{$t|
zhpW<{i<9!4bGc>0W!*j-k%%O<wA3~!Rkz|u5ziUhb3zTtJ!u64V}OCNsq&OQqK3>b
zEP#$_a;8k!ZHKic2p-p8R5U~Dt?`CuDB|KV(TO5?ct$Vxc9;1te}5=kShKKDu%NN9
z{AAk}#KMY_5+2WR#7=>Qg%u(?J~l>z8bUk(2?3AvIzC38(%jV4)ZE<1XvxyDvb40c
z_isfqJSD`l*9|U*IL#KhoX$v-`R@Aj7aA1R)NY=h9u=&t82A44<!~+wowNqbTB&>q
z85kJN{robU)rudE_x<^H<7_w->&6id9WF>DYj$=P&;&z5Xc}ys6vb~-I*88IPOnS|
z?Drv}q{y(Mq>8#(or2phWu>B~!^BhPO1eHFZhV(ZuAg`}pB@Tp&}37B=NF>u*pvBi
zD5%I#-zTNqR9|$wg!e{>g<@uzPmG4+{SXmuan129x1BnG?^*iI{sXY#8~=Db2>2A5
z{H!rEc$n_qUK0ghm-V;BrC#UqMd)p(zXe^ey#{41Y46uRT#ifsok08YHM^0k)`MLH
z*4gQCV?#v>?rQ_$ncLsrP(@{Y?8H!hLU~F>Dm0i|wRLsEv2P%DiC#5G-lVk*)Q1cU
z%p@3jqOepubh=a+64LD1YjgL9jvJ)2=7K{nJey%}=CA51;rjYlkuoCIH^u_r!;<7G
zWUlI6-mLuX-Z-<-2pAelq2}>0`|?EeDnh_pV2i<`Sqi6jUUaW=$WS^azUSu2rd4N)
zp&~``e&!Z|<-eK~^ht{L<4UFK=xP@-HqN@ckZ|j?QIs<@B%3y$UtDbMKop07h=Bxy
z!9d^*m*L*CJtm4L94~pI9&5D(OG%AdR%Gp4u-RwlM|>0GW?*2Ly)rj5`$qi^;v298
zh>^<p_k@uWq|v)h_Yj{loFXMfeV>9-)1otU88!QjjP%cLckDN!6n^;JL3_XOi@<)2
zGaDhyRWM^969o(bKCi;Sic3R&`}7r;X!1aVTx(1Zv8B!#Xz|<UE>Hb;-##lMcpETb
z$H&JfA5mE<b%p;F$wGz;0vw~kNHL%QV*vn*zWjj~LdH*qa^vD|K0RiJEdUSW>dY8<
z3qo)4RA&}a@6Tk3CM_*3E9=p<AM4qwICM5XL>S>~udv8=fmm$O0yOP-$=CL!KrSH(
zyQv;khJ=RN+DZ+&HVHm025|oGyV|vAF?`SCfn=ft6rZWR|0%=D+WL&iN`fJwX3h#&
zQR?Kn76TRu+vex^Iw5cR4?sF5t=G2n236SK2l;8xf8O7FJc@E)KmOswetl~8`c!}a
zDmyL?L(Tv<OsQzoj_dmRnya+z40A;fm}4ihu-%()CaWDQ!AeC|W@eQQ4Sm)lU%Yxb
zu|q`tpI+)}YP#il@gXwR!B9-3!7S@Ap;lmBMJmPZ7vn^HeVme(F%oYe*ggP$3;yK2
zix$w;X)TlUd&_~Ij?Rv7PS1|;zlk75farR#u~K=G<iGpvj=MG-nv7VI<O&XW$pVa#
z&k$gM((GQ(d6?-ksG7=3rXPtghC+V+JOP6oE-?W5(URnpG3L~Mj1c0lPSkyXGa370
zf&-v6)DU=TQ3X>wFo=2$JCt5Bm?{&iml;BX4)el|PeMY%+tlb5o~^x02yA>iI9fZ=
zfO@gvgZ+Bhu&Xo{r>D0M53P1FiiP|BQ`{&sU}+(^Apen_4PUOC)&8yX{CrBXA687_
z$SZo4?8;4A3~6$l5xfWxUjC~viRCsY6EMs&9!z0$)m_-KUIEOpd(jX~3P5KuIk-~>
zu`95r_0;(=IA6R1`~bYIzkyD0%88MpMJm%%Q#i&(0n7upFmDtQA#j21G5Hi{$@k(;
z=$*E{cCz;h=)(MXaCm6MgdNPQgaq*f=ESB4r{c~9f;ZO<G0woaBCh`B8A31DHW`Ev
zBM`q=yv==OU|`_iKbaNo@gT5zpgXu|gkI5gJa|#=|5(0LQZK-Ymxo8Da?l@={%4Ue
zCB}bSr56PT2u8@4VC~}3=`k81(8LfWN1dCS!?EXNfe1$M$J2{a`INEg(Dac}>F>rF
zpxgJ;$21~Yl_e#EY!%-=!b7~(a|2_*h|^(yGLK;16=P<HEq?>1b$SD&gWqpMC@n3`
zJnW5+aIm)@a}~FP{NJkdK&Qswp*u)^>K5kY*Iw&*&c)`9pUHoH^lgBq1R(n+!K7&^
zxar_7E&U<1$A7;V?}x32KjBR$8vwGMs4DU&nF%bbJ!*Az^}=iq=rdVefO1N3`eyn{
z<tdS)3Rm$Glj)!<2N1XK5s7klq60Ks=4<XqeE9Hz+UP-_R9eFPEk`bJf)I}jee^DL
z9GbLv(hw2yI{&`5gh=s+hjD@@tam~W?O}<YA{R%z*Fqw6vVYV24$Q&J<o<Y?IGLS@
z`}S-|0nkhs%v(;O0~HF&KWyC-<KrR)6C~9*Fh6XA-(}<L?E-P<vlXasy#!(-$^L9P
z3=Iv@)6-w2p?rcq8<NyRlXZ4+VZnxXV}*oy3r5#p>NODZ?3PSC{2i4HTKw(eG}hAq
zgCu7qqhRzVSV)<g7O2n!{S_x8ZXZMc;qXlu04)r*)HsKN=}Ty@uvg9(z(RZht1$2}
z#byDC;v1Q`)2NM=^WTOJiBUri4-Ye`A-DixW8?mZt~F;_Pa_tb@7;cI8q#1$RI@+O
zjld(tM!(9+Qd3i7ic5{}%ueKiI15(;!k$9-<Bbwo`CmswAYu=fy{UAH9TxJ+c?0I;
z2avslil3g~4-!$-)kTU9e|^GQoE1xs8q#kh;tu5mI-dsa%StmOe8S0<uB6V_0WAzq
zr{6lkfNdXrQBw?_Hf-yRkEm{F_+H`D{O&AV2iS8hz++6lfN~JvxIb*o??Mgs3I1?;
zyj4UTMTNDIL8;e)hu`Ua!;oO9uMZg=?gNzIIy(!^kRV+!p??U4%?%pCmR^Q(0veW~
zoY-^nHhnAP6@aB60~!8pwf9yZp`)y<>{Kd{wvw8189bpy-ue~|o|t`%lZuvnOH_0A
zK0e|%)el=c*lc_zc;rRw6dN?tFB%#`%;B5{Rf&BY+&nz{ykwbJ$SbRu(_boUYGS(d
zgiM7;1z~N%-qm{%fc0?~@}9|)M%y)MX}o>YpeO9WL=0;KPsq0eBg&A#$<8ip6yRI=
zH$nK@IMO8m^QR#1@5j5l-!Q*^0y63Q-S&P1s%Z9G?d_yShZD#^@;-n^r2A?9gSefU
zYj(yxTGGhW^quaGEY4fb;H(9{bf%pYeMOo$5N#sQVUzx_g-4;2L?mwPVxO{TW=dVK
z>&i|HMqJ11hE|N|2U{1p>c@r)w$uLGZSSaXmW2gqidCwqWok<0#l(SV#eqkPxACoq
z6A=;dR0Wq!)sZVi)PN;v6yFA%cwNx{fhnt`Bic`lIUN2Hj+3&IxXGTiausHWb47tM
z|Gst|9_Eddj5SlWC(JIyA}ghsvLfOlN27sTm#l|NK)d5u%W24PKx-oK?5NRQoSZuC
zYzT;vVapmOF4IDn=Z1bTmA)GlMTQOhzC*Oni`9l#;|9OT`jzE3^>-oSTr4U}Mo%)7
zW5KCO8$1xLcLq9nI_R;0h^iBbG}_Gk^%D{|1+?MBL$EA}fc}>A>-Q_&jWah`63UqO
z%pe3?O`;j-@<6Putrene>0&-#-5$S-K@B0lPD)^l(>o53VXek#X`dedg^6+D^uin3
zV=(pi6Sk2)wT-E9?39||&7~F|%qOz<0;T0vI~QUG_Ft^84yr~h$YsCLvNRpeZW+>P
zPA?WVB}>ID{d1{y{Uu4^1-a7IE3Dk_Ptql>!ki>yEy|sMS}sZcYj!6gjPIk2r8Mo*
zPdUmIcFsC39$pKYFK>+hP0_cs=QlS$UJre6NRm-D_j%Y7*X=k{9Aj<psxGhauA~T>
zv#OV&tf{MWwzsdUtquI!OH3U%u%XV#(NGsRrDjPpbP`F(LKdAbkI3tDq%_=ZAWQM#
zbVFnu8Ya#D<JK>j39SZi?c30`3g5G44bo}7YCX3~>b{<ypf0^1qNE%tLt73MsQr~_
zMl<Y_D$|SY@ze?Z>~Z~X1fRJXEzb6hE7VoZN^e=TdKVoWFYfO~D-)d$IDh?Pb4eC_
zboeR4Tv1kZd5*K-NSiR&6YR)}4UdP1Crg07E93GxdWX6poUy|qzbV?1m$TK>x<?3>
zy{_J)C1P5o8bYvqrLBEO*Ar7tyReIG#p`$on)w4;BJt=C8*6S^S=nyQ=G*PKg)Eeq
z6}KDqUrD_`lSA}L@C08Jl#6h9-q^@d|84O-JgtCszd;e{cxjd<Nyy;3*A)MXT3=U5
z{4l?Ddws1Itx@=_9@4-_#QSKes4ur(HW<>tfOM7Va$UNfz3BK}qQUo0d8CXDcL->t
z-{^OyjaRXyMOcUTMrV^-;Aqfh#|2T`G9$y|^{9`PB}U8h_ZW%Kq6V@Xg5sNX=kqVE
zQK#J@WOEcfzNx(3Sg^rP3Z9lJ&H26B-;s`=%xW;g^NSoIc^qjkrpp_()3W7)l&Vf<
z1p-GUS_Idf&nwF~Cv2xVrt-J)qkqV!dju)jpU?Mu_g$+_s%o`(((mXGD<FN<(M<Oe
zyc7EEm;IAeHVt-^m~Oz{(GmDuySux<7!+5&MrpbouJ-#ciUf|H2okDLZ&Iy44@eIE
zsmI*L&~C8{7_`O;eIBDzkJWWJuJ|y+xFpjNV}D(7@o5OPq3p><X@1L5-Bzoe-Jg{e
z6=u<4Vv2$?T5@OzK`Ln7XFF|X#v2`*?+dvX{y-Q~qGXQdP;!mRlRWOM^Y%981ty*E
zOB$BT3IAh;_Co$hYQ?<A-eW&-(QG8%r?5C5HWFX0xVhcKd=E_Hx?lKC<U40=x@!~c
zsETl9DDH{h?uAI=v_8M(jVG9=NY4s)UR6fOkRvI&KKLPlXKtb7WeV(pu1@3ShIb2|
zW=aX(+?I14i6LRb0)=4XO=j*x0;R2bLlE=Cl<$VsNHQ8q9qn=CX{TOuUS9k#qS+hW
zzpmAe#l;o-znoNSN~#hmJ2^X34I++KnFq*>tp0{o;_Ul6^IlwoFJFSbP*r54qB2qJ
z=*#_0M7D|%r3q<4E>NIpCNR637(7aJDfVq|JGUnF!(PQZJuhI?y<PLi96=6)4-(n?
za_$<^B5CqxJ0CMo#9i>|`M|aV6`Mupe`>>($k7~57F2$ckCieux8EDz!K~1I8jfe=
zBzW5R^J^;<7KF<33=~@C*5(H;v6X-O4f`S$pDvPA2P>b{89klHW8c@i)F<;RcN=te
z4dsp&8cO&q)q9_G|AHb~IfEq$5k<x3!&w;Es-K^obA3Q-#vmizFDgk`FBnO*H6596
z_O7^}h7QdjI?YT=BXHs|+%6UKY+tChJNwD}?1#&Pm-%6gB*ur!-spbwqeD}6_(+Z6
z*AJrE{Tsa{E_w}i&0-v|S+fNuD6oMKJwX{2o}MOVf!sl*^K8z)H;d3HZ+sPWOsQhz
zkS@=1qWbNzMy%az@?b__%~Im>rm!QKj~-ok^Ou@BMuMONNdjB7+lpfQ(BuV+-8VVs
zD;9LYugqp)lkbWKP3be3O#D?CRIRh4K333smc0b%$h7}8-ze2?o}M3QuBubap?d42
zKOP&>_sn-S$C*NenQ$L=B@X+Ue7rNNPfXSmZzf-2Gb?Ivhc0<)a@5GiMqpsbc!Y7K
zm=rH?)PL6fiKr^8{p`E%%jJ}BJy{?fJ^j~|1>#0#JrR<O{@Nz{qtwU@L6IMQ)~uYq
zTI;b17@nT|dzjrPt6!KC3nET@J+6Ok=2|kgw`Tci&x|VY+A9TGWI$@#5Mu85c6c5z
zK8%nCCd%N2)Jm6_zN;mn7rfaLlO~!{ZQ<r23miXp$QGeANFi4$YMP7TtV9$ph@%J}
zJh?p{ecmw{B04%W_?(yC=;Gd!N>%0^VBYjzw`P5Lt-}lxlLOu)LFVVTEO(77yVe`G
zK!xFM{L&!tNeU%v`XZVnR4%cr5k%p40ll+l3lSqTzR#JPT?r>%?f~Ao_A%6#eGSuk
zUu_Ock6N|bkVV9{#3m?ZC${?`tx@3K!c%Va=4lETwxWpeF^r_%H`bjfn&&lCe7BJI
zdAIUY-<grDC9g@A4qX;8BUgpmR$Dr?#jO56v9V=JJ}PFxk~GOsqW^65;)^n8JzO<e
zY<&Om^URPWxtyW5iN~*kgbE8~clVH!MElthsUU-)4>gf#a_8sQwB8!0`v)gf6gu{J
zM^i^RQ{U)01=^nnGqhtKh-(_DO?ykl{Dj}MR=>gjip+l`;y?<n59=KzTN6Hmkeumt
zgQip>&rTJN?v~3dban5o+!QLqF_ft>#lOq6M*YIx<Q3<y>#ALRJgtxiWUj_px#e(&
z$ArEJ(bUo?Z9INpKJ&&4>X@%l`KvZAJBd`?mEus&RH&MvAeJinQN)7x>cyLlw!Q)Z
z$)(Hv{J@3x*VETBJj!)1K$oQcq^LGjlWdc*Dsfgm-ZdO@aApgQ5HGPE%AZZh<=#+T
z*u)n!v{)#MeF-|5?W>DZ%F?>{chEOX<ltgoTvUpXg#UOGzKN%9(<2k9ByZgrkB6JK
z%{Q=jpO<pj94znZQ`)7^1~XumpnL1FBXO`YZ)Kg+;?mT`*a6{Wemcnb=)6G_C#8Kk
za?J7-dXRB-A}U_j?ct!ockwbu?IH&;UbnLhG(H`w_wBfQ#+&B&=jS?wtl`szotwW{
zT2UbmyT?)u2~!p~(|*_SVqahL(xJ+Dz{}XFcldJw0|$R^Z9VHG3?d*pIkvalm@Lo<
zXD*TQ4I$hzmb$uY;OOGr$SyBgr`{}6qE8M#Wf+dBwQ(M}mJC4I#8XjJKN}cVzf42X
zW71mELKbnv8X>fkXA%*gb=WxGJ2>9sJ@tWjM2Z%=J?&w?ABJXPsv*n#3H52?c<cCh
zOW@Q;?@w6e)_?c0`SAaDA4~Q~m&ZUx58hi?9Y1c#<eR8@NVR%@p+n{OP^mo+a(20<
z3(tLTmzQ6)=HX$H8MzYsEz|FYF!1tGt2*h6tl^uX-wrNrx#Ht*-5j^4aY9t84UXZ$
zb19>x7|6AOi+YuMe>GCZNrvMtY@N)a#9BgYvCWV^q{qVcOV2|pI4Dod{Yy{aD6+gQ
zQh2U;V_4Icc#(<@pKEJbT~q#kv^Xjq-QRixjS=liul3x&j19h-(QJ^*UcQ%6ZFRC=
zm!q)W><@ll@x@v_;<S|7v|MN~qX8~uoorp)Rh+tV#lR*@IJw*QbW%Zgh7N~gQlYfd
z?jy;oL}IVgI5w5#l{IIJlf92mP$N%mM&|qYW9!fTT1y7|uY6(F?bZCkQ@;hX5zggD
zbv?U6anw>eMp@bR2xK_;<j2+L%zQb>U@_7-j(Rr6bdHU-I7V}tA=Z~=Q#q0u4)$A5
zck|c9s2^*Ez(&lz-1*3|R~aQ3tuQu6BE#XJ{rVDB1cWI^-@<BXYH5ESF7ZQyV*8bu
zP_ffHvMd41KFxU_=9k?Y6_C;!e1D*hCYN!KMsj&m7Mh3j0q#Tf%}X=h!dG2&@5|AV
zx2Q!RB)y_yNjlu$x?S<PM<gNN-6Z0<?T(6Q)H}Pd?P$OtQBg`g*yA_pe1cq-G_F?W
zEcbCdbq!Py^Ikf$OlTn=pIQ*;sy~PJfAxSlIXiS!goydROl=J;#U6FMOnyWs4Xl4z
z9<(@pa;&Wxbl32@9lz7%^v%k;fZ&O{VA@%o3z!{P7Q}xME{}R~e;(mQI@Z&4ly)4U
zO5bs@o0>7w<E&w%)a7%z!>;chx=i`Rv#x&P6;yViprW(Mi`(mio1Pz>e~@6)OC&7>
z`{d1ERNGj}RAKfK`L3$$s_rnyH<cLqGr}R&hwuHy)g@TvFZH&9B9fyYxh@}~NeH5a
zh-YWN7OeCa78Pr^KyDwfYzlB*Ijg3p`|O}bkOVSlbG2>N@MFf;wx-fq9Z;*gLPcY@
z9Ey3qqngU#qwCM$u^yH%)fI=`+A{gL=`ckZl6$aO^~Aqpr&a5e7e2HBtqc1W%1=~@
zCN6>D`D(A8|0_RlCW5<h-bGG+`Qjsr$gYLO&y<=P?jU@YUZMpHu^jH%S>T)_61*7k
zPa+EMP`~R#t4knfF)vU^R9DMSUp*^H;95NX&@PjLUHp{;e}i}4P)g{O@r<h7edkkI
zD)uO4m8c9kO3K$1bSbf~I`h1=D@jZ){t9$|>R}$BC+PP+7+@B@e3mr~Z%A={90CsZ
zRm+U2oO|`Nqw}Y$x|W${g5RkI&*#}x7^u@wf3_TnrUdS{+iYu{bc8(jE%y1__=nTl
zzacj}UGK*;3RYF-ZX09iX-YITflzXG2Xn3_oo?cxve0TjY}eO%HV}DWa9DjHqf~%0
zPExKnP3^KU9g{J`*7_lr7re+gN5W3=WMtek8AuJPsdaUM>G~Fs@;OUU0`ZBB!k}1$
z;bgV$%fjr>K>u%@A;kpA+z9*82qI=)oq^fEQ>zT$porX@<jJLRsMm#vF#DPhX$Ei~
zCr#KhmMyOyvAV2kLk`QF6D4RX;U99skT_9sK78lSAPw}NiVvkJFV(2oC8CXBHoLUf
zSw8Y=rw?#vC8H;$*6=<UXnH9e_n0EtH5%QO&L6qm?Bl21q5Bho2rucTciUC-uH&i0
zHgq7g*CR{}_H*v9_l8t@nwsuq*V9YtzmSmNSA0!;jqJ!ps2kXB+OSrXtsPuld=2mL
z-Vmx#CJ^xW?jGE<=WC9$yHE<LQ_3c}ZFZi0jMj$>YRySAweCiLF9zAQp~B0?$zCD>
zTt0i@XR$j9!`?fRz++Q^L>{uQbs;iYt+(^V&ymzI14a%w6Up4R{i$^$9o(MJ6Z@e*
zQ;6Rn+8~Q?BeBFY_*OMHFV4+jJna1GkCe!f%tK|_>W3SdEnbDqI`nj<l8X?5#n@cZ
zZD54LN&dfFfHlJ@MBw)b!!CVpN5MzkKRWQ;n4hybuz?DQN>4z;U{NemsZL2bOq|BI
zNdXbo{MWDAdmGnoKg$?GRLY|?m5KnyyL=2$MEd7$F#kLnhHL}p%t4yS=YHiyYw>|q
z<ZpaetR%%eFMB3GRCMS3z`eu37BitCvdAJLL!3wtN1Ph)D6bWd`VThs2aT3#n;XC(
z(H><h$6QcY#vzy(5B$g?%L1Kn@2P?DeWigsn<0@-;?2d8P;VQ1XXCO9YAWEIwJnC|
zN4_ygQV~}yNq_6*N3rxvh}Z}yk;@oLq>#Aabm&G${fH?sK1Eq#otGEdwzVc+e<-%!
z2rej9l<n}|I}rY1vp_Z@#qEH_PqNn4Za_x9x;8f@MUcV1xP;K%L%>H&tqjh_Mvj1p
ztE!Rd=CVHk+|kSUICvuDZ&3=KEDtj-7fh5Hv4HzkByc~acp3OP;e`BsVD?_j@A73?
zVc4PYFh%RQkDJ@*EZ2^UTaJ7JFF6T1XLj}^$gn%8wz{n`wOe(ZQ_6UiTPCdyBlCHK
z6Bmw-gz<Fg*Rl8S81;mpyx-WGE`w+hfgYiVyGX!BK0B#;pT&2iPnQEjs^=UjUia~g
zG)^Q9m1)c7cxf_q^7C`dWDKs%;E-S78{gEYjn$@rb%wK=8hr})05)rre=D57U`4ar
z0=&1E=%kbLxTo+JR8$p@)-H_F*BKjp9u7kXsbmllVF_QO+2&{XBpD7e!J@Qx6ArAV
zV-t5saI7aL#>;ItJsl0di&w>4Xl|zl&r}>k_gHssn%U{EP6mFCt1^~N=q>B1+IitV
z7Ox`E4|zuRT}{!86Qf$+-iLl#V4s78QiJX*ASr`u-|Em5aNB#MDSk3|dCXI5sdL$S
zw!Fa}$EksV-vHAAhW{{Aq_ThcMcH#HIsKR7S)s)g?T96lEoCE3BV=U!zBF&cQ4PH<
zKMid%I_{J;TE<G1^@K;@Xc^wl4t-!8dlwolhj-$as23*<#+bvh<?E0}X@}kQCUwKL
zbVzyfWobUIGbWKjQ=^z)X%4%;NwPFFMv7+ijNZU&^CsNP^%6u9#>*$OWG&>&`Rvq3
zwhO^7wcg)6QdC;aN#f`aV#Jsqt*!CSFX0^+<qQw}M8UbZYzoYgj&I9cj)D1BP#_AZ
zk1k0dXD1(Php|1$eP(&yV?VIJc?7$&Y)mf463;S0Mt9sXX2gt0F=2OeDkepDq4XgP
za?yYVCtc^*Cf!C2zQiVFSMBnzIm*s+bLHk-(7s`2=PCA)>Bpsj5v5zU+YzPacNux7
z=8_qCPVfTKYtyTO(tCtn@vpf-5KLC!#S8d!7Gf`(e)KlY5)5``mVLX(s#mz04%rRS
zfKZODF&OTE%;NL+FK;quBL6$`gaP>qKKfNyn5K?)Mx@;yz30C7T>cZZ@`HKjD2sIR
zn*>9Hw<Ly9yax~G-*n*5UzYab3R2FKgFRCo1HO^{@Z_<Ha?O10x}^8KGPPLLbbcHc
zy+kJuzlS(^vo*&4=7SB)pZ=Z6<uU}VyriP>A0~g?J$HI4eyaaPe{+HWA0v|Ac)lD5
zenS~zyWo0T4p-WyIoQ8rM$Z0C{;uzQiF8TB54fTxdwSeY7ke{;t>w{^5CZR0f<iK=
zhL_8#^p~sbt7ZfmDKRA3<1(3<0aj_E(%sKwth7pDCIUtJcJsXAP_NYz^8)f<Cc?r)
z`7hRSsGY)8JykvTdd4doy4e!*HDgnP(!}Prs{LG{VI)bE|5W_c^|5No*U3f}5oKLJ
zHyo6w<IgI38y=zv%}EuXu3>Kz1Y=78kIo|w|FE);xs^X>6k_rRV@FLW%P<z5r6+`f
zitPb4D5>81>;28%Z<DNEWf+fybJc;%kpjzW3OEv@Jw2RfAGhtuq-5D?SZsN_m^(w0
zzqBONgwykqd?t=y=w69gI++&%eiO%koh^uIb>E%AbA?^(jKHb)^KK!(OSxL0+5_-1
z<|n`A1|?93op`O(S92U93-w6);|;mg?Y*~r3J~c_G|P!=OzBkhvo^LKz3WXhdQRMH
z7?qc1RD>mA3Fk8%!M{bckqI37{qM!ZVvhoj)$``?&j{Mul_mk<cYkT<@rqsDJzgx_
zi==aKhun4h(dZ|^Cc*u1P;V!H4xTP@`=~1>+j|>4f^Yl%3aiYGIK|yHh>Z8%(bvm)
zlN8qS4oQdWyesPO`k>~OU7EtYBl)ct*a+~YXX(OpF<!>Q6P)bmGWnJKE`>JzIFCEB
z+VTaQo9U*%U6WhOpC|9-<sm68?N)1a3kJN<#Q`PVKCJQ3LS^=4pp06mr=(XB`hH%B
zadPC!r1*+kF`9s3s-CLh@TwR#`f&B#&=W6R#S&Pa6+L*~#<fky`GI+-#Rw?=XZU2q
z=K0IFK@nLK`))xx(dL`R67dwJa-(x7ekOaj6mW0SY*pa78l&NI0lM<L-bcf{_jtsq
zJs{G_s4<P`eP@IS3rEnMcXS5ltq)zjNV;?$xpi>csJD4}jvAzQ7>fG|!R8eSc~nlm
z2YLX+n!1|QPVjPbTP)z4><|qvIoM2UYZ(L{H+|dhTloLXD=cOP$GR%DUrw7jOzLpp
zt=8vaE0mmk&9s;&S1GqjVoz_nuN)5aGDn%YG-#_#OydYpOD_=6d4jk8jH8v<mQN2#
zqr>p5V5e3O8e_U(@*G%9pt+c#y&&2|b;(*=lohJx-jGOxX^~6g+<N9P?uTHU+L`HQ
z-Jto~MM-wO49zabr}7IDhnSOIhS;`FR)et?&Ag7P^Z|~(k(bIP)|etDiBG$VXI_MN
zjSd36RY866`S7&L%k{ihQX(rqTRft^++t8&u>ym+xVkglB@`(bkU0mPDgk@oWjGKN
zA&kuN;fh5ki_xzHN}4hLx2s+1#0(hc3y(%{8-_`>p{^YYDSY~J3)q`9Tf6eMV*VYy
z2tx4RKn$MIJD7&kYt*2S@X(->Rk!>;pnK*m)eQT~T|`(aZEFwzVa~=N`qk2#at?ms
zNI|~tHEHzw6{QP_9fB!WaUsS_0WdRV%YIGQTh7^e!&`F-HHrLa^;AtrFc-DH^Y3c1
z!PC*He5&2E@A8e_AtIHNd^!N|jRhNax2QofZm4kGu&=uscT@gvffq@=?9YBFe`!`9
z(ei3B5Px(7>H8_`|D>}#nf|SG(dfUEKz-SfWGhp4fgooXWTVtB_1=>f-nQ(|63~rS
zmp;I-OzZ0aHDCb1Wu`iOWEhg*ZRj`TW8G{f%Go=ZnGq(KgM`dJfI*~#vv)xe%lg{Z
zI*sT4?W`<JXmn0?A2NXOzj;<tH9SOCa3F)vP=lE3hB@7kY%0|Z+T?$*Nh<8FivHez
ztIe>=Cz7wWyNZ_nKMkKkG;Cmah_R6+PZp2d(mb{BG?)82wVk_AT+0W^*c&aQR1~y%
zOe>{AMJSa|y2HH7*V$csx$@a}Eh?6kYGUy*_Nwrmie1RfdBn-FnYnwexCt8io&JF<
zw8=mRLB8P&9{LrbFT1Nnd8?z??}Wm7N^ALb^vm%ssN<yQU6(Y_IP`!~PJ=gVC%v(4
zct6ed*vp&B)3@Ftrc%t!ygM)5*MC8xQ^BcaSYn&-OmlaprUb#Jgz8E)BfQ<?x4NBj
zn$}T6=ZIr4)%6IlO(Zvg&W(?e>7Lb48gEgB6WsCmN=MBHEG;}IG4CoQr%v9J`<F#p
zSNN`D9~PD@;^2WKBcC+xyVRd47|S(np2wf-vREWool{!6l&)@RTeLVlXRLl=h}C`m
zsLpfCd-;ggXeuu9#ACRD;kA8R3FWcJ;kR>ukB8-X6kwSap5_qZwQh-~+Cil#$&t>%
zf75qC_RUwDKzo0N`$eO@Eb=Ik!qDS5WM}`q=2g?7Qqq{Zyb11Su_6Vv#nQr7ZSx(=
z9qi3r)P4V__H&oKMA}{-%4C!$%m)<Mw}A@M_R?c}*`p02jvEeC?L5pUlFOS{F>!Fl
z{d2#nr27mW3@s!3n~mhU<Y2S*H}~)Vc@(odgXJ8s9spYtsCz2veHZR7anWk(Ib%94
z;fq>kvAS1yv^sSTCy)7+M?>5fUzQw+K6qp1Vz44XI!I~8PJQR|@GK+H&-A$3lt4Nw
zUlE7OlzDZ{tf66FJ-@{Ux?MJhcu#N7GyZK&x7#}(f{eA^PL~+h{-HvXS)@JB39!1(
z3&?oHcrjm$F?@3y6dUuEf-fzaG1TO05QFCaG5Z?qAK7KyWzlJWisbKJZH)_EdFXs<
z9)=~c;Z9H=>@H`m|8{YxT~oy?{KPZ(r#kyKdlVt-EmYRb!Qu=*pQKdN`7+~8;<1c=
zD3g&a?6q`|%-QMVr^^m?u4XjtDd(`X9v`>oHD%uPf!UNbrs1yfu5tQ-qqU&#bwzdb
zNSgQo>9LejL8!FUQ$&6PnsEqo2+=P;OIx+SIMf?GI&K`W?vn|GDLkomKfy4|Yo)1J
z53@zyuJ)fGXjepDN0rwo|A;A6{ZqDDT+Yg&vo<y*G3z|co7!i3ArTaQ?l$mgVWx?u
zN{S{{ZMiu0>g3DY^^N_?3IpZwk6i<B`Zad{)|qd7JBaF-E$*ted<Cv{ZcY27c_`5D
zHxd)QBac|-ph^DF?_g4)(_##KJdrc6u$tK?`=<G+EZw7R7&hxyAgUE@5ct`Gu}x#2
zX&AC3eX_z)StsVWq+qyL?&@<5IC^*mc@KBeBZX!c^nFF2^z|*rEUyA52_X{{unv`O
zhi~Y)bQCgF1)t~6hQx-@bi9=i*6KaRW$Xfw!3nJDQ|9%%1Z^^9L&chDY4(0zN=&I3
zL3NgteB!SL$|qt}IxD(I%=@et*&mm`<FHT#<^MeYG5!@A$at2#6@=^n=R(t_P#jD9
z#gC3OWcR98-C2p<Mb}_g&Z$IEjp988bBaMQim>Tp6v|aaVd^LD{R|EbztZ;m?gh8G
zTJ#3sIyy(%_YGiW<Jiwd8yBdjt1a=sX7#3ue?LQ%YWig)2i9mj%+yyu&}@YGj0kWP
z7aG^+6j}U-MwKMU9>KM2u<$~6Ti$Ri*n`1s`oJAw54=D4hqKKPqg_esZm<^u{5JG-
zn$*()U}HB2bia~V|DlL@YwzfstO<KK9Ys%3(*h`wC{xEt9omosdrY{yY3`VKTd>aB
zbEJBN&J(mPS>w_m4m&i<ZJ044Kx;}nWdoKbME<vBlicywJ(=E~-e=c*S`4Y1qT|SN
zK3oF+`>{9)sU{`o23{C$j%|+l$U35z#oMg(59wF;W=K~&nzLV+mJ&6p0#x6Zua$4j
z3|1W+3QVPqY#XX()>k+_k3EWYFcwRfe6n!W((TE|nF^Dn{Mw>9vs{)pub|znU4<X<
zg-x6^s&M7sp{La$O66I-J-mZc`mPKM)!hBO#T80t4T-9Jn~rH<R8mmV36w5en!j_M
z`^Ga~@&4y0o`XD(Y~Hb_1f(?-4Hu_5zrSysOq(q@Rj)*eQ6`BXOFcwj!P&2r72BK5
zj>TCb2-R4Y&UW!dYLdpo?i4awrc|!{c-^(gN7tvV_0)*uTG!sIO6l&lmoyp0y4A`;
z$s!ic*jeeSuu^gMq$)xVE@{1D=lSP7*H1HX^61aN2*KfUuv0ocJ}se6L=t$5;N=+1
z-QX|HM)q~~EAo%G**H~e!f!+h&($bI3LnMqa%dyztmunTOM>lr0LcJCDMQl4bHr8c
zu=;1Nk|w>@FQS+tSr=j@Oo{xSz?ooCsyrwh`dYe4^q6-9>%c2uON!<fV6;!LQ_E##
zQl&I)Dm1IGKTJdwQwrOf)6B#V*PZ9w7Jf8lM>Hb_DqvNVtoghVp*|=mWzfOO7_$9n
zj?=rhs#dYXK6&tue#aov68QExzs0|JYNRBkRGm~QMjn)^(0~<r>g)h!ey=<J%3jxo
zhsFk9fKRByj`UQ~k}gtA&3Cn_RUA{I`hYg{BmO%6kgi^ZJPs~*TgEXE*-sQ3q<Bo<
z!3@T!P^<pM0B?Gh2>rHyn~;VSM$x>*_cN@_$yFA~j;h3DJTw{Pj-60i^oK1JDDf%W
z@i%P~nE%u^3=+bM6tZ9FiP^W(J{BJ=&W(Pt%g$tID<^4zG=JfVjKF!?-OnkHU?{!y
z@QU!pO2Mqh^y1K6rl=SxY&i3HT<cHOXRyICRK$&^og#~J<*LYQ%-gLXJshdKhh3d!
zDlX8es3|TC(Zvxo+<{lU3Ve1?yHesmoAbIdP;L`Fx<c8t+6{YTLQQe2*SyMohAk`x
z*F27jH9PPl*TpVS(W6siK`;9unfHP}-}Upx6xbwrT(y;KWZ>B%8+JTI`?9S7{+`~}
z1jJz{0PQc_U0xH&`1y{<7!c_F@bHh*gS#!x0d2}Aqmz;J7T5Cj8pGPk1N=*a(J^<4
z1R~9dm#UQ~>E$H+r_Z(asUOnyr_eZ*Emw<$yiH9-D-CKc4T^%wg0eECb?qjzxZF*v
zA5>gROTx1xIH0NEjI>!Skt|F5i2ixyP|P~#bB_+Ux>0g4sIAQ5L<6)QKF#@jcqF{J
z4M?)B{p6fh;p^sozcYcrkNfxjV<>w%xPU)AfOmOyImSctf(a3T^cy-?IJ)$lzfJTX
zi*FNbT60gr%zi1RqnG2SJG+gYgnC3gahQp_E8Qyoe*u)Ysc1~tdG6^ankd2_e5bun
zobbj_WnD}IF~3)Ly(*hV5R64~yK0;&;e7@1^B2Z{{Uc)SUP0n)Cx(bmo*}eq_0M_@
zJlZe3#mY!EEOewR&)~!{-$wlx2H|WKk8s_;I6ZYAI9~tjI+`~mTjO16C@V#PBM9I4
zFNlISR+}SXUKf$*fH#ILT1#s4bXngCVOpr`HGWRSIhXoz)+S042#%fxNzM(;D;&m1
z*XJrP5crTCyL||X==}^mZb_uoeE~I0W>gv!;e#Wgp3*L~gJ-?E>1c5>jq9PF;uF|L
zVB%FGVA(z*3-UCCi0z!6*;(-p$$0?hV(E0~UA8Gz4s$YUxo2gli~9-L9ZZ+i*VjAl
z43mH|o+KH{gWX-dDh=2y3h8(^Pfz(&u4wV@nJ_3aa%9-#loSGdd>CIHxTN2r!QbKY
zFJyIebX;6q?CtH%&5J-%oKzkx2~FHj<exu&fI&b#i=ExBak626nyP9L^7-j0_G3n@
zHp7OR9fCnpcXXj_Sy`j%nD0)?_VzZYJgKX#&CSmz4FqX^B3Z;S{p6_qU0ozBEaM9c
zyriTCr#+3r*y2}4f7+BLL3pu3`854vK44T0@~qC!&tqd_>+3m6JxEbQ(BYs-YVFoU
zK!s8gtLb{K2d=qYfNJkMB*H(#Xe67*$8rS|7w6}a<Vv2NEip05Dk_tMj2(;Wb3e5w
z)KA(iVu^B_6|Zh%;Bvt+w9oMyF8S%<hL@W=C@2VIw(5_C@qm2#`T4KP%E}rVpmqS1
zN{K%%ihqhrNN|0;J^S_RS8y;4$V9>o-(FiAo1UH?9sP!!tyE;#7m+6D>mz7vIetx^
z(9a-#CtQqoRjo=BRZNIhn#t{TYX|fxDJf}YMh#M<p>Un~2rJs!_(5IPSdN5pft+@e
zgE1&f8I~7$Q)#-n*yO0ePM0tk;P21F%Ue=Xf+8~ep_8_vb$sNLzLNGsOg)wR(4|AD
z0~*JNDP4%-;$pcBfwZWo)r}1_TwDu%{jr)tl+YfKzs}Ciu3oP7{{4IRy}ShY%OI(%
zFmw!zFJHa@Fw(^b1bk9ejT0gkf>kV<EG#UXt1-Q~P)L-UdA=^b)=aUb7p%v(yjE6~
zFaFxz-tM#9>YgJJSzl8_7A?8-oZ7usTVHQtV#2}3_NTY^T6yoFmni@*Nyg>weCwqB
z0kI_P>G9Dcy;#cGxvto1soFSnpQK+fo~V(A$w#&I^U&LXp><{Z64LW-NtSRrWLTHu
z#iY2nI;TA)b@dq^h8(aLpt#86>HcbTRN+ecr=z>OyWsOJnHmnr<z`LtW^e>$3n05$
z#n@8j-$r|eal+t#p8O<MIt^P|k{;JxYHWqF0Y}fNg}VkHNS(i#kQW?EVx=M`&NLO8
zz#@!v-5E~H&CQLWlE;<$L52+L^L%HjYP>kY>d%j^G1u&Mcka64jTIUOqB7t+dip-(
zTtt*}wfshZy$FL#A_Wn0YuiP6t1EQMOHp<8c>t1t9uxNeO3MOdB<L`)(9yM8T#kk~
zSG>-8un_V{cGi1BSG+F5^YV;EMMYmmV83_w0}+OX(geKk@oZby_U_!~*THoKU?NuE
zf3;`T%-}9d25^O9%HQ6>Uj5X7y6<%|lnV{ED^-Sl>7K_;&z5&Kl~Nr!IU5ZtJ`?Ic
zSW{PFXf+b(H92x?#9-~YQaAb{OZGQzRnNf9gs3%XjxB}ScW-%S(?mwzro);M0kFXN
z`>O-bc0L5u@7;IXDYgPnm&&OLyv6>`Yrlg6D#B1i461IY%QXA@`x6+n&o3`aWy>%c
zLML8gmS1N0H)4G0I<9T3HzlI)>h3bU&OZauoSZJB(giT8G`!B%dq5!|zvp$~PX~M@
zj8e<#QXDViu#XH30*>48YD8!#XZPP{pogGhJVHcZ!A&N(F<Hkw#yz#@lxA!LwSDSk
zU)ggD<hAYX&z^y~9?sPO1{m5_u2E7_3cmSv>ehOD>jvd#cYCUj8y;WF-)~wj|2*b3
z;U4lETwG!`gk}i7JVujA_}pzJ7!StZJ>0Zcc7JQ0x=kM1`4)`1xVgP;Gh3-o4oxdk
z2rAwFMw8jL-<f>lTJ7?Cw|4TK7ltQUGON3P2b~Jtb<(-ga;|02wc~o;vb)`O5(5j1
zh|7+cg2H%K_}4Y;TmNXR(&Br!nQ85W^fq)5VLJvlq1>DtPy)nj=4$TW6hV(c8+|wj
z7XJO|vgk+8dWP?_`%p4_iF(DfBqh7_6%6~YcblLRkxDL=%XwdAi4jzSjxp!7nY!b7
zQ_;g;!|5dG%y1MRHFWrDHrOov{qU|y%Lm~2-@ktV6dR|iKfBlXF8;BCQboM}H~v$7
z%K0)OS3igD<<%y8sqq-`K4qx5M1lLw&9r_MJd640+LmYV#w?Y~{d_Z;YH-cY=jmz&
zsQI9=&JDIpR!eIUtnlu*<s_n2PYjlVf+8<3m*9E3vaEo9$j^k-x+f8oo`&ObJ|F15
z;JO&EphfnDhK4RQJD2Q#KqR!|N=-~m1dlDq_t($dGQ6+n7>S-xc^J`2jNo*;RKdYB
zQ?8ANhL#g;rm^)W1Pu_(a+TpbpM9Dnnd@myTaXwA{Q)zKkG)ANJt|5suX4WL9<S%8
zfrZ!*0Hmdbg@K_VyONn97yfX^%hSo`rjb^glzF`ZJp;q@!}bdA%HkgXSc*taqNGq*
zQE6!^tLbpP^}_ug2a}3Jlh;bSH;+#ou8LjG+`4!k*nChKYC4k6-foZoG~4WKDJ<Lt
z&X3Zrb(nx9A?bKJ_mj38wv_WzKpI}RYu}T@*ESvQhSPW(tQYD*5u$8fh%Y`O6%WtX
znx1eefY-Z=9W*qwGvpP33_z}oU#dlGn6&_I#l(6*De9?RL^DZDKd@qMM#c*B2{u7}
z=4G9{>%+O2U%#^FMB@53tXJBf=Ibooo}EhULqbA`yf4S%={4DO_(=i*=O3-FpI^=B
zTJmk_AmA_lHLAv8HKEgLRH*4e2=3cBT4*={eADRhel#7_3WK7?GL5XBFNyLQ0&QM*
z4sA0}J0lr_Zl{?X23&!odlLoxe0=S<>mR}k!am_6ngZKT;k2FZjZ-05U+oI;h_nT}
zm6M%ai`AW%n@dhko+#-BfHo2s6l9(=+WU9wyrTVnf3rWvqvC<ndLC3Vus^Jacj@G{
zzdU=U{;`{n|Mly9&NRb(e?z9?c&UX7WL%-Gz%No<fV#?YB~Ts=lEuNnVIw00&k?rR
z2qt;F+sXJEZiOr|0w4|Qj=|Yp>k<3BwYBxMBlz;A#icBs@Rw=2J0&9{BQvuiUdYBz
z8OqS`@F@#>Fj|#HC>G-~K;ktbGjWnkz01*8dXR5O;_LeYN{#=eaw~%lL+SjUe0+Sh
zSaZaIlH}vtLn%A|k|q`xOWShb%|NyF*Pmc|a#ZudczRF)x@yNYFG-{h&=x_!TdO@O
zlg^hkWRfB1tK<1y0f)G8uEmwnPiS=i({CddPMbw8!(RA}2wRng2*ijwz&$fMp0c_@
zh~K;2kLqS>z4Jls_BpWA@b=Lpu%dxD+B%h$l8c+0ilU;B(9nr%zx!%~o}Y<{*k$QO
zEiDh1dlQ0ynvV#ekWkUkl$Dff&)AFcP(x|~{PLs|_Dgo<K7al!BQpt<NfIpyI3=CO
zx!7J^o+XKnlG5aAe+np*iO2Kl_@qV!ROf<f>laX+Y{`oTn*~a62_tW|5_I=hH9SxV
z2%f+>u%8+KTMw(Iu~CEbyK;2D(L}ziW`|E3;;;%Grtke;0TLk}Q>?j9@cxM43#jFp
z{QE6P_#O<1gwK`vfP~<AeW+hE$5R-IB2plq;j<N|4(f%=0}S`lg^1nuiwbJ*QEKqK
zF_!QVcY3gN7c2Dx5Qk&C*YJ6qsJXenEW8^}04`Y22dw>4#~)e@FJM8(i%mIGwtt@L
z7OiG0g*oXF{@YC8CJqcpE#b@cMc{Lz5)ziz{DmR;W5j|*rx6A0sD{h{{9f%Hz8n01
zxd2A}s7tA!a>M&($rV)L7rm}YhVlVO4>Hk+1E(u=U%K8A?VkUDB>|4~-MR6S=xd(p
z?5w=N-5(9zKcG*O%@R-A|BI%uFnFuqy4qhGY|?DL;v$RCVbapk$=vi5*{G<gfzlmq
z7f*_4Nq`{0&>3ox<ED0Kz#TzBVg99QT3GXDKTmH865!MO;Tq&#+jPvVX6v+3Vh|9N
zZHQ<QBR`%GGLqf>;GVQxKR!;6i_3fPSA8e&a99HXb@kYmZ<C@kk)>1w5A&&ypkCm1
zH6V^wJ%T)lL>sMCkKbYQuVlmz`M9_^;PmlZew3{snq2}w)AjgV5c*Z`>P%86JJ>_k
zNjG)>->a+aXdrH_F8}=e49?6NwNRV!oebaQiw2e?E8vHfsFjhTdPe%t&?Jh9)r*i&
zaJ$DAP@N>``p;T5XXri<`G(QbRDXc8XtL`%nEXftCw6w4W$j$2svKkN%udEQvOH2T
z;w&-r@87`SU|U<;tApz7;f9Qb#cA>{(S|}!E~0yTNYTYb+u2#IzdxrpV(XXWKr(L0
zr4toH!dC^olf8aHhd(Fd6pWk=!$iLDs3Cu^uh(rm(hk>2t!(Q5{k1DCsVOe2bFf1`
zS>~^*kJnK#>f2Bhk33c(@RuYX*gEg+?Tv~;UP|3F&G5z~Ah5Px+PP$HuxWC3O5E95
zNJ`3@|60P>o>;9XtZH6#6+w`tsECl4$Dvs-+T3zMON--r97Y-)i-Ga4<HZF5&VmH_
zp06+=VFtKf51^FXax3;ylo<JNzOF<wL|I*8rI}reoV1}q85K=CEj7@oS%sKbw`F^I
z?sNZ8ovRbNu_^E2GXL00#>0%Rfa?j*_aOW0V}$Lq!uon`^>Vk`dZm*k$IBaAUgv?E
zeO08aQM!-)&c6eFFNZ)}G~eueP*TxeoWcsq<oVoASAl!GG=q3^Ts3RuVOb)kpG6->
z^K#tsnSntBO8740MJ7{e3#iNcK}1Tri~_ZW*HtT4N<~pWEoNhM%6NO1`jA!@L{{{g
z^{w~&CA0p%;)X}_b^HYbeBSdnt6lbN$+fkU^_8P8{}NpS6-@FCRWWMX({*&^3&wH<
zpRu)chM73ky{=RXBatfVrq(-N5D;O_WThR;D+)|aYpBtK6eOQ7CtxX+9j;3oT6i<$
z5{eOpbH)hy+?b39&_P(Wlxl8dv<bwzzb_;~PhM(2nx8Uu+34NP%$)v!#W#|E6%t`W
zMH#_kN37Qy)~v50-^?iIO!oiK^%g)?z0tey0g;f9ZYk-O7Nn690qK<P5J5r^K|mS-
z326kRk(3sY?(RmqLqL@BE`I;-eskx}T*h(qaL(C#zp>(3&w5^nNy^Gz&ego!ZW@z3
z4Zuy}HfaHGd-3|WT;AE#8U%E(^>%Wn8Aa!#o1@PEzV!D`&e!<6+WnLcFGOBL_Ax&?
ziY0o6ZiTI_-Pe}ZWXpjfQI8>?Wf^4+!i(Pylh-Z~akgMn2!yY`aoU_T^4XhCz{4Nu
zGY`FgfBM-odw8Jj*b*tpKc|yNF6(0ffdbLpp@rJ>>E2b}v;3ET4*%TgRcA(@m@sr%
z*YNWE_4dNy((kq=ujN=yj&OAMue`j#4>&!UkK<N4t6fEUzS)dI45mGwk|ROW)zh<W
zmGq`8AvW3WU~3wWYQfxu78}c+Hf9Z-R=mlLQ9Trwmb)~rJ61^e&V4%auuyw>`n6b=
zi2i<Jdx3`Zm2w?+z_%7@Dafk<2}p||D=tno>u|cdnx&&7&&rzi`mF>c!)vb}u`Ewx
z7+*3zUA{a~SCx^upUPQTNfh*+Um=?wS(1!ufzL|$R7L!@?Bg={lp+Hw`?pm7!kqGt
z4_qwg=W562KS*V(-MV$lb;9EqB9aoLrpEMp`wOlw-H1_8t7__xQ&Vqe$sJqp_@$;!
z4VD<PG9)GUnwd`R?X8=bM7(>)adaexhld@*<O1Q~{J)pte^&|aUwobh{R%s?j=n^G
zV&ZZbr`+`7?!oH8e%Cx$Q<lPyAD6*HmzV3n*TBeknOmB5I&*MX5QfgRKL)1Cea^{8
z;)?=|feq#g?MEwb;o+~Z9nkT#ikK@a2;4<_3N#B}3HT@|D)#u@#yn3HE&S3Z%S?aq
z=UY&aAYFiEU*66p&HaEJl@b#4F6)}{7|t;D)M=QYx!U>3PeV^n+f2*8&Fn9DIaT=l
z1Dna&m#iHVxAtd3f7IFK9<G$7Wh6z~7`bQc@871#k_t4;dwccFgzd)8(%EXMDJkJw
zY|?-WI5|0$BnQjL(6Qi2t#nipljyq$#iNTles*%*>+7wkE{&R=4zab{%93?mXgW|e
zQla24sHhy5V!Xe)KC`htGnk|)M?(`33;X=Zll)3o?ZK=+fB$afEH}CCOhCGHG5t<4
zP9<@q#_KF#Z&tc2o^<yFPYR`FWmY;vLRncV0QWteRaq%DA$~W)?EFSTWpgM4FCFQ_
z3I7$_JBc53QYwQVX7uXR6uJhhTR92C7+6`#B+(zsRj8|{zLzRDP{u{?lF7uU)p*uy
zZ~fV%IlH1FN<xB@6B$`@Yj>`<0t~J9<)4>(X|z)4w24abF)^e6C?k(Iv{N5#)tj`c
zzY)8gPsESnw~e;C$t?S?#%fh<3$Zw=%dQ1VF<mN1;yCw&3CYQ4j?Yk#GgVio2LBtS
zSwf=esp*i?#hMy)%sactxAZYF9VjSlMsvm)7;1@$XFgC&YUy^XvWC>w{{H*d?Mb`_
zO#lSq6)sF+40JK|pEfjD`I(sH1dSXZJ{a*iR&a6(Q&X7w#=<JLAjioRCBI$U?wI^j
zLj^r!Y03C%pgcnt`Q4B1?)*tDta%L;kbVKsNKd%_c>(rrz{S6cUHhO)J4~N*mi*!m
zfw*+hfL0;Vjtv=S%*bh;Umm<Ak1Z`Ng`^GpEwpvLz4RDd5FmZ;=j$C_RFZpfUNt)#
zR#!(=U0zj{<n{UpS86nO@?epg+tDDop@EsLcewxSXtSiXWuTv*p1;4ofq`&Y*yUjE
z8MTzOw5$3N^&^j=!NHRBdwTl$d`b2fzfW9u?(p!Y-Ymj9*&lszZEd$LYShKkGwWWu
zyNf$5{fKf2*M?qWF)=Z3hq&%w^o%Nj?Yw8HD1IZOF_R;v?{JroSsWeT1gL@)JZLgx
zA$)CazVhzY3V3C@0QhTWIt1<m8Cfq|jZQ5L-xH$ux<qMa4h{zZimndS4INIK(eD1<
zRp{<=l0lD_cP`4avDav_(s(!U`2~4Ej#8qj682k2w_IKK8ula^y$rle9!KOdHD#~8
zl$f5d++Q1)q+#xid?D&S0HDE4=$#w`WqSO$w{Q1&$Y_OX7=&utXY~B`76%=8UAM<F
zGwCAI)DOTho*y{4{A*k((jE8uO@HyXa&mmQzc2RAZ9Lks8O3(Tw|sNk3RW+h9Ovp>
z+1QKDGz(qTMQ@{^P>Q|LS=o5M#Za@g5ullr#6B{b>g>GBq+~6L9zoVh6w=4TlcJ~3
z@#Kla_Kr<{K4*XbSUJy**O|`Oufz}!-M;Pi_3PN~E|Qks;qmcorQKxdAli$MF)<gO
zIB|-x@#`sZYdX5!I%S#AkAKv|_MU{xGbdL>Q=8Y+3`#nT%Jx;2M6)xYR(*M`Eq3?{
zfW*AUz*x}L{Q#D{Ff2C4%t+N(+i3B^$=coB{oeNsKuAGJ=(;|gjWA%>Udv6OFemVV
zh2kwK>xrVI*=oa>7&%>C1;<4<4vtEj7lKVLo!R9dhsR`|Jaq+^JUKQ54~V)uF91t1
z%jR%rhlnyJ+3sxVUF%ve)j?CbKd$F-|0TpZ{asFVp5s@0)yKF}T3RE+St7S?=}Svf
z;7MTxqR^gnP~3LkuQ4|l%Fcc$EEKG!Za8J%+agup_yM1i(m+!)`$&Cf{qSci5)u-u
z3N=%ge`0K0gPhPHLQ6<Ct)pR{oV3mUDJvWcVm#-6VueM0Nv&l{D(=PkWwzFzvvca4
zgoww-wXSlDDr$_-&R^e_L$9oScCcv0z*zTzoFRcPWMyS^|6nmKL5LLs(!xUH%RgEH
zL*ZnuI5<)Ps;a7(6NvTwf%Hd-E?4K9eM(Ga32m061%+SL)C@|wL`2^Q1Z;j@KFH-T
z$Sw?fbynQ#kA_1S`sT#CF)^`av57%+KL7I%EgBk#53%b#M|9^(C;)KYwOc>~BcSJS
zxMPu)45@+1U=r6Sg7;GRshszEC^Xz5TkPuVqr6^Rk#%u7mV?Y4a^;h{Q~$fBzjue*
zr&>mHRSsq<pA=$xK&CtQ{k6-~O1y|jH(dHKqE!@-rO10CS_fgu)-v|?5K-EB&7T|(
zN>*5EUi>-ymKwCZZ7ZDGXxUHxm5Ko{^yBsZ)(iczDW!ZFV&eO(#6F-bhDpL1PJcT^
z$mjYE<b@^P7&Ei|K7VMfcP7~HnXf?XsQBc`=r(QR#l8p$$tRP@nB^m8h*3`^-;lmi
zP1#oR@bEBl(c3QaR8&;-gzp1<fG^FNivxs{?5FPkP@sPwHy(V`{Wg}b?s_<pcMJI)
z;_jfYzrTN#K0k!`a*<S@F|EWmUv0_5yP{H44fXZUaO_YEGBQ9UO#)y+_k)G;ZCX$n
zliw#})f8yyLhWruSN{<LfWJt+*zC_&IqA_KlRn1B3w*>|Qpz!>2daEmYwNAMDw|#W
zf`XA`yt0e65>!-FdbU_QqBX-E(Mqb|QH_vnOfnqgf?jLIbD}nY=oM%Ye5K0F&VF3D
zbvL-(G*!f1x#{&#Y-7i0`SiCs;og&1Rz+DKwSWTda3+^uSm@&70t2Je*&1}03`@2o
zd4KMuja`<O*6&8mij>sUi1i&OBiTr*uMJ|Qbz_6|)trS)n3!Sj+{xqLkqnH95{Fq(
zatMOJmiJXUg?OXGzw6|TjHkj~fjDU$V`CZwx|4>pAQWd*r~tmJ@sj7No#e^bxs+}6
z1J|m(u=@J?mnoJoV@Cc1#GFN!*B68;DtnC!#vr*;=`Gs6yq`7He0Xx)QP{iPJvVpx
zvo&Z&zShf0T~m`E_Ob(|%^`?5gx|0E=_Ca87vLu5bAKT2Twk|zc=MJDm8}p-c=dy-
z_+FB*bna+GW42`Hxo**r(A4y_%|+N(M-U0Hb5+=t1bYr}-;6w2B!{5v3e+iZ=QhJ%
zq6p?>rMo@l)}X|ZgE>T}C6Cb3*3LaJum*uAo(~gZS(BnQFI`>7pBI8gUEja}Co?k?
zK5*|`q)-|Hj>2+Fn3#+#e|&)Rrrkay1i(e6Prc&{&rXV=0`ct|9|OZ0z@JyU6aNgH
z0{vvOY$|_xN0ETa+xTrSJSl)6Mi&ZBL7&I&BRrn$V!SWz$hO?ie^v*5tx3YagT$w&
zS~w-qyI5;{ee;;_gpN!Uj1g~@5S3`ndVY0ls?wXBshjlNay}q>QtSFvhbuHQ*!o$N
zHy$m!BykLGd{pUebd--V$JZ~<b8LK_kf&Y5B2}o9coR8z7cClHEM@410W?Vi5xUq|
z6v-&RSP*6^IeT{G@rX1qC@6?XUW4<K$S+1l@3z_5`ics5@4uho;>O3uzU1bDe$VZ0
z8g#W$JHcNa*wOMDi^6*Vck1csU0z+moP&g1hhm30&wV<&F%2~TjN;;fkr5s`x|YSo
ze@6e#Kl#OiK-Tv2f9Vfha?Uk=K>_TMs3;(KKHFm~{6rZdAWGKJA$z(O*~mNYFvsk=
zlvYkiObna5ezwY?x3^ba6*oebVrNO@s%2r}dD-*>G9F%D5)M5=GO~w!e6dMM1vC~u
zK23hPtnXyVuVU}T0iymBpxYZjxV5$Q&PSVHBd(_p9A@}VIsTOC6orR}LzX2XB$NWX
zNwNpTQb1I$Fbiip&dB-uVGCv#7Kp>3x?N4>p`f7|efN0wR9O=WYwGHwDGyyB%FNe!
z_OjN%l|qo$vTt*5Pjhsp8&G<v-Pzd{`h^w#dGprVI!{<pkbCG=j^$@n=5752fDE-u
zp5GHBdnch<jh#!@(%K5*g5&g%xY_OP?SUK|;0Q+$tw4n+GVWu$X}<ng-gv3UN`xT1
zl_+;>cbD=kN*_y5uo}S8TM^djWuz9SY^u+=u@;+rnkp(>K#UGV0su3Aw*B}u+$z+)
zz=}Oh7ZVi{@+dM_VpJ#j5R~}HtRaQvF%2$c-M)(1Pyj13te+TB8^(@ymXVdE+u2)5
zdys|X-m|dKSXJf5KCP#!I<&B`zp)YY{XuaNk*Sr{<j~OJ=5W@a*oA!&pQxxP>TzAX
z=^|m^&y$l^kc0pJ?M6+V4pYn;_b_Py1>saXr)}h|nV%B(UWt*-iPFo<>-hK>4Hb1A
zz{;T^NOgEXx+eP<7bj<+NkYG6XIoo%rN`(f?>fhjXV9|sTNri=i|oou{>V;<KvUHo
z`kV~Q1uHx#&Ks6^lOmOY{=Vf|+!*~h0m8T6QvCI=FZuZ_+}uOGy>?@KdSep>?X9g@
zb#<Q8<rZcP3E`eCKb-^w1S~8pKo#Xh!)d%<ER5QN2M-j-DEPBT1pz8IDbvXkc582M
zr=_I@jkmLd#j~?BpWnNQuTDV5DPm6A(bV);4_issTPemEfLvVwZY~RzC@0@>(79?E
zA3r@>>AWL52&lC9`R08uuM2>$8z3Ya8GKAP43j6fPvr6QJ;@g|9WVowIB2bhV5@K5
zdV3t~i0YX=7B+Un+pF_DuY+jqj(9GkYe-8WNahBdc%r5oJafJ=@~vBIoZ8N=uBoD4
zZV(?sWkB|;gr?>=V8V>^IH^Ad2O|eJB3;#Vot?{}oD6pC&71EjyIPu7$Oup+d=7UI
zQib5~_V&g_iP#R?*w`pBsO6!h&48LM;9HfInlpF6J{lQueM(cz?)gv%idJo(SpcnO
zXQv!bTR;AbN^t!lI9TY_=8z7)CJip2>JWz3l$0FQA2i1BI}UX@tfFo2?3h(dLt(93
z#}#DBG+15L`X!n{L9;^`%kZ72)ct2jh_bRW0Hr%St^QqKnYEu&i@$vXN}fcOvc1d;
z_`+nTD2N{`M-b{mK^ThNcVdlQT~BW?_!;EK;ihxnug`awRMIG2)Baps#B{F$TnmMO
zFxZ$;5x<}W9ckx-jfItvoD91iQcJ_SS6e^c-MT*t(q*@M)6Q>4%VXWSL*6?Gx)DE*
z|AMv{<VgU@YPH44)5k81H+Y>vu_jmOc@`3ea)v57Ik~L23}Xz$2^Hn#kiP8g?%tFf
zr*osDqgO1&xVeo@Ov=o=KL!K@balzUcySPI!)N@%CLE$HsNWRnR#=YZZf$Mdh=U>_
zVBt9%W)uv_C_aQz#xGax4<LjZ>1re4;UR<*1Q_%*6iod5{VlXBkpKJX=m+R01_il!
zWW>3MfDtSs(M7ChKv0mJq2aua3b=llx+9Ov3ai0Y&SR<j)kp|jl<b_Gx4*iX?o14V
zU|8M34gwJn7)bTd*<52q_P;5B5ubxqJ7ZS@Kx;(hs1`FJ>h0TPvdjbs+<W&#Cs<qQ
z$76KZ18*Q5Td0uVRMkeZpU4@CzNZOp{h4ROVHQi>4ZAEe(^O+RDJrTINCh)9Gm&EF
zc{Md2@E9Z6tb9~IZYt75L`0;d))p2F_#v`iqiAcFBr?*6=jS7WPeVgP!DviOPG0=^
zLldc*)Bzs6!m{7l-F>jTn~Y7vz{se{^VD{nPnOoKKL+4v@LBM6pq%=lcMU|YbdQAh
zO{LAu%uG#}LkO4<2s3O7Y3F7n1Plfz7Z<fFvLZb`Aa!7D#L_{k2nM6Nx?00F?+foc
zR0a<~@4yGhkqg3(fcORUYSW<rk)OW>dsDkeht@mPa?P^)BSWx|B~PN6E_dLn-z@|k
z9bJds;m-E9RLdtQO<`kV#t`u{YtMl{%*@IH0Xf3pq~+!1yJCMNZgV_?M3Rz}l+?9Z
z<-cKv7%O^yEg~WU;$Mo&6QDwX*l2#asGbG9a5Khv9sTs<qY&_+qM{1ePZ?WS+?I@z
zp(AsBS5;f9J59slDO)Q<fGCAX6l_i8Tw7F9l46Fc($lA2o}LhJ5$z_E#Q|yzka%-*
zGi(gm$B!e<M?Rw#KOdz>en%rL>^W8ns&sX3dr3`DlhxM;-(zgN1U_zP!vF+zcc&h}
zXrcS1q@;YH5*4;Bzc2S;bz{R$;#q|26YIBc#ZV+29UWm)!oHrn@^qHKjZIG%x9Eul
zs>wSETnY*io~L?xGvL(3iv>&M>}RX?pjtxd+RVkk&^|x!?c`KiP|!0t2qp!~yUJRa
z!1_1w2ylELWq6`|*v$RrbX(KM$44O9!OBW5TP<$>y3e$XoPvTD9V8F3$Qz|H4x9ba
zfFcr;|6Lj2SeOet8ygl@R;k}QN{KuS5WeOAc?Jksf3hGT_kn?d&po%YZ_rSsTaq_b
zL)b7(3y86B*C(4d{$mNk(VUzdCC1}8?dN2!ovWb13S1<P)+zpX+!Je+F&ZlK^YfLJ
zl@OXjArCgR!8hySyzVhi%&pB1?3ivy%M1Mu3z7gyI6XNT`!SQl7y_w6Xy{0fn>OdC
zS>W7wY?I#%d}|;!x!4O-zt1n4t^~NaRASy2B*QR6LAq=|Mq9A+!@b`A{_(yUFJ<Kc
zSmJ~MtK%}x&cDEuu5E4Q|8ySj=}Y8|HcnX&gWv_s@K7HTw`rLWJG*_+PSJQ!V0*qL
z<W7$uJnebb4&wv`5{*R@?W}aw-Jd_pjGK|M(>*aHhsF!Fq1KnzEyXVZs>*6=AGJb1
zL`G7(n#CjqhlSO<Y<%blm6lgfc<^NjSqgHh7cWY*iia~sw_yKGP8Itd9v=GnA!Ap^
z_5wWrn>@kd7UB;SKKU!$=+ICkLH?LrWafiBz2jn|sECL@Z@a>9sn9qUg`ng2mn(r<
zp^X6Sg2@~I^e<tOixSufVq(v|Z%5LD=JJCF!^XdD6*5$rld1`k5U+&2*LvcT3?yM(
zclY+j&7ZuNGJ(4(&){sJ;pE(hx)3=hq2K4WHW_RYQg8@krB730W6kA}SXlJR;0w<7
z=SNHZ%U-T@fCz5h!CXu9(AEh^0h6go+>z9er%NByuJ(VB^HQ2IM$mqWd!KBt0Mrvn
zh>6L+KvN#vn?!32wclsB^*0byCb1JDqN1V>p>AQLwAt3#3HnhsIqcXgTU#NmKl$tl
zHrCfW;H9Z%iTM0KZyGH_vqrZdr{xQe`6i1`O<iJ=oG`dCIW}gk^NJv(4R-rO28PGH
z?X=4$LmARZEXu9+b2Vk3KTE{K(;=2X0DGHwK9q9+xEC7`ck|Iar$s+M>ZIluP~*Rw
zsB{e#<;0YfqB8tw<B0W7&CG;7P@?BMR)5~$=?VpeKoWx}X9y3093pEb71VAD8M@ut
zLJAl;>W9uUx1Qj<5&H*jE=lm5Usgim2Q01e>PSf(bU)7L-}4l@85tfuN>R+V?YI*2
zJh7IN^85Li2sc>9^v#<~osutk{*bc4LMqgM73sqE2kd3j)o*=Q5lxVbR#sBt(=fVY
z0>v2e<WRsI!CuUGiU>n$Fg~t1zmxJxcpiW};{g^jBA&#Q=;)UKwqj2Sz7Z2=VcCN1
zxXo#;(Pi!oy8!A`g%j~oxUV3zhvGhYLA;cZ^Qye9ZGq*)C8t4+)8Ue&!#$k0t6g~5
zHH*OaF?#zqo3<hR;YVLzU#M2A@yfD-5-?99%)f@a<O->v4BZh#Y9w6GHPY4Jf3Gs0
zl1BRpJdQ{zQK-M$a=cg075BNmgc^)3$KwaEBfYLKYtQH8h{NI_;g}b&MO9Hz!7hRh
zV&%%bQz!_kqzVJ;=r;efATG*1@wboe-)}8VWk!Iyb6-~%Fk)isv|C0-M!;!&tNG+B
zPhT*51)DcVEkEfYv1Gk<#}x!spjK|Z@16VzZV!Qwlk2?EO<!y>TDyhr_gOj!r@gI>
zv~@_*0|-O1vVrH{#8Q=2o<3~=1D^CtZV+%gu#O<psFCJkW3vVSEiW&}n*A4#kB9ej
zeLWtQ2;)~S!aI@F;%Ny9d8fU#a4%wiS7UB?Rt9Xxf8TtGK&5Ppy{(IJQ|>+g_Et|X
z2{O0!NX%$|dHVI$)yv<rFIY(ma8VeTn39u{$fxQT?+CqImT_~dI^U(>{N%OT6%FJ5
zm^ahw#Kln-bc(f#4QheCpxJ;sxN+=rc?99TjG0bF^ka6=dum!}ZIxcL^7@jU-OPQN
z{_j%G{o7ju0|S_DU^8gC{+5O4wXkpp_+lC#lc}QP;!eT30BuR4GB*Jd3!opat*%<n
zmq&wMYimnOBNUv=94FO?g;U=GhxBHdTqZ?OKB78Ebzi`^dslmpg|SO`5u&PBOw8fv
znvkxPadJE(M)w2%=6QZ%BQ1PR$#8LY@WRm%?6%g|JW0wIPldCsBPbBQI_%d={&#B(
z_UZ51`qMCjjRG~Y)NqjwM#nFdk37JYDQfCb;|T(lq+sG+e)Q_<>J9caU*{SVTWY|0
zHWh95a<RRE_$sMjJI9EdG#rZEZ-HA^z#{`-7N~~1I$>kI%qE7k7L<(=G3W^IyvSYH
zUw6%&8@6nF8U~Cj!3B@+7R~zqn+wp|+xtYbm@s`1WW<-j6S^MuPXJp6gz~}bD?9sv
zg{%1YFgY>KhJNSGeMy6SuEsx73{2%xxUnBULeVRd@?mDTO<urD{~yNOz+tp;a1eda
zTMS4B3k#6k95;JZSC8cN@9JB)aFc#iq5pS0A^s_VBQbnVlD*x}&kr0R3My(rsVA!p
zJ2AEJE684~O`U^!*BBWXICM&lul!D>ze>|m2j*pc^h7F*uRKltszGfF)K>FVoKL+G
zk&%m~Cas;+K1CIJ;!I3{r;7puk%0SU)az(aG<Fl&d)s&Api=cSWF=?`J1&)LukWBg
z{fj>>;hlrI+R@qB3$VXi1H$Q)$nT5+Ug5@4>ARIXx&<z6s?qx*e1WX^*dUjKY|W46
zJ}uY7gFVp~CEgBu^!Kp7JX!Sl=iOg&%;GRdL*v{zJ^hfLzHM^SeXgTIrwBqZh(^yA
zyj}nm4TQGoaSgrqwsX(|T`&^WPPn~z&MX=|kH&9eM99A2iIsDi7#XQxS-MXI5rJk7
ztfr*I#9G^NR!D_k`s0AKY(W95sOUU|*}3U&rHKC)zo>ES6FABy;c7Psu{n4lM;VTh
zAf)!>2$GXJAG$;x_D1J5MM&8opMv^cM}x^7zt0eM{Kw-B1llKEA?BQ-qps<6ulV<(
zXx1IdQ}><sqAj{F`jSfhX-_{dudJM!k{~U=BR~%T+JK76;L8p4^ua+;XyxLH3=h9N
z-zf=^$&_JNNcd#@P2fRh>c9Bw>hFHvF+@n!p5P7tu`MV-X0)E80g@t2HS9DnO|LyX
zK<WO`qrU$B=-e(GE~-cX10Y9efP1Y?u4XOKKt`<Ft1b(3`u`jW`!um=ph6deKmY~v
z*IF;oGI+_&@ccg4)ztxI2Pde)bw|q~A{pa8aTw;EJDf(1N?F5@*K%-hben^m1;wv#
zpfn1B#o5`XPoL0GQ0!;EvGDO}RJ|L~wF;1ub8LhiW>EJk|2xR1mocAmf-!?MILCcw
z4>o+udrVlwU|)mtqJ?ikz6QrFAbyzhL@Sg5@LcP0)}XS_ao$OH|69n~I_9$RBY+=4
z?|+3nOzohhuWxs%%uJXxNG%)+*?oQAT{e_ozrIO&kPu)O0ArC%6X55^KtZO81fgEw
z!{AX+uvt};RXk<ikq&KNhAl{^w=g(3xVUKau8eudP)1JfV5&?yjB4ylI0cJoSxs#%
z8RGC{OMUD55-N0dc6M;Y!spk)Otz9`32*M51oyDTSyow!6?(6V$yu&|--m<>{45~2
zfEGo|0h&XD`^w!NFeLD{vygq(9k@keX2!sQ0ia+0E2O$w&{_LY<`3EIYe(<1V@ESg
zW$Z&#SaxF0*#r-WfgbiGYnUD%14UAeY<_VuGDSp!E;^pmP<W(%NDlWsN^9w^q+(aG
z%I(Y!Ylr1BEnz&fBe2OJntS7y<nkZNXAPsHNWr>-bV1gW<UCkIblCb^aWUtrw2UY)
zu5Mq59e6u)dDxY%P~MAZ&c|?M_>?AP^gH{~662l34T3Z_HWnXG93lfKO14^3=L&5u
zK#O0X@EdW$`OVKZJQ;&GzDvM(NRTXgrE4+NLB?$5JaDJ*t&W9;z=Lzf`;4F!UA813
z5I)2xyJ$`o$%Km@)nsUBcsif-j7XL=MQYJJzZ?CPrl`#{2uhQr@C>xGj+@#Gl;N>j
zx*BUxRE4{hDOQG8hMVM(j+n;%?z~FDcIg?63qzrE(3T<4c%F~tDS}>M&lqyMoo;iF
zrj1>|Lk9WTPxtr7)q|66k5AGn#Y-Bl&Svq;WM+wmQ4%kBjQ;*5>MKvA|KLI?Vk_dA
zAUabV%($fGjD!d@nMN3L!`TTXmzRp$i|Unzn3ebOgW+-%gXD2~lJ?6;3%*rsnQm(T
z(n4)m;w0!|h_B3^omSeyz3kEG^~g`;jYULHwc(eoc63m1T^%#PFDy0#+P<BZrdE0A
zUCn#K3k_ecMfuki!>jB}gxU;3Y8!vnRoP`c-#(a7(SL+Js#efqRT<el+ZLFc{SDKU
z;8WUoTWY7?mlOM~BwjnL?vRnV_`XH4ro(!vTR6(JdUr78^Kt2gEPe=-$*?ygtFd-2
zIV@kK&l|bFPNlVB`MOdu6O=kAu(YIcx8mj>rP7$L7RXB>9`I?CS;nz|MT)nm_5_Rn
zcCUMC;u7N3I073?dVf?s-Ncc1Qk<<+#e~QCz4)T!YI>-+WP-NVX2)cQdlV@#1r@c*
zLFy@K>C<o<mQ#~FiYj_jg^mF%cA9J)dGn7MGi}*cPe`uJ@SHP?XfyP;1>P9_iHH!y
zvfm*ViHvYaR;5O*HNl(}$Z#|*Zu{c%v3O4}k5uM~iE?Zbw|p`whJ3`MXA_8_uQt9+
z%aexB-Tzfwz*O}_1vBUxS(qTPRGNBFRFygqY<KvXniva|A=$CaHy;YvlbJ)hu<?bd
z9OnghGmHIf0IGzaI!t_}A>O#}u6`S`+IB~jy{YuPK!zRZR3OLd9DggOJnd%Yi1$`H
z7n!Wn9k{0lQF-Y|Q*FWVp^vEY_d-d<0>7E`s#ZVUq(ODr-bK9lQ95YYdJAFw$)=K}
zGNx~{TSeuU@>+hTB0{CD<Y9&EZv!MPfx=aB21N^G=^jJ23}=1YIR^sP-Ll=*={eT5
zle+S~xF>^FM@-bB_B{@Y|CqgNUU+=`OVc&ocI)0Pn}b}I<Pf#_OdP1X#jBY_+E^&h
zUtjDs7fWXIkSXkk%$2v5D_Ht*JGaKK=Z>tBEnzd`$mbVy8lyK-6~0oH&Hw#@(u@_4
zpOvu6xGleeAVE<AO{V`8dy*)nK4)?p1L-aT7qeacRxSu_fugiK|0|A#N)MjIE*^(&
zzG;`+f#-pFn0bohxrae5?{L0}G<`PNJR0s)oK&NI*y%!OpRDQ-*^H}{nB7JcQi?Kg
zElhD$Y5JAn>!4bC_gmx;n$SgaE{mcj{eL4{pOlJ}7!&XM%>{D!VKfhnD(6$m3aBIX
z{H7)EfH`QP8tq9bcPizs7L+sEln?X_`fS4NVRs0A;5LS`!uzb7=ab~rytk8o#|umD
z$Fxed_BNYh$i%bGsny33J>xMcPm6XnkQH%mx#lsolOS!?drHx~IUUy~B4H~sEK0na
zsO*v&rBWL=mot}x<B9fbuxC2d`nprJEIcSY$&TM#&iTo+Ck~2VXYmCQ67FX1d;K#u
zVL6F233S~_&PmS7t4kPv)-%`hk<<%|wOsjMl~GmX9p~M5+05Isu9^JNXDWPKsFJXH
z)jP(@(oU8x=9lt%|1>vRP^YF*VOoQuKw7YssO9)&NuYMC3y$0V#>uBE1IAsvJ2lAB
z5*nUWV=q6L=}IN;&`n-XT!)4c#ZD8l6~ujO3Vq9rj~%QRs%I~1&*t-W*KTKp_wO?8
zgG8yfNq-2*{c;8pSsika&-KnXC%1Or2&DObTIZTH!;cO~9mJWV3~uZ+Cgl{@UPxKo
zeKc8HQLJ9|FeNv|@8FIMGTs&Hy}t)z57k3*e6-?@qJENXVZeD1nf!BhQNi?8X;r(A
z1dj14D!+{{%%-Id7XLNs*Z7yOsa=@jmr@fqcV2(0EUCQi=3`BMJC%hTS5)lWqu`&0
z7qu59PSBSZeb$6`Lz6L+@-g$eg7C|}{I+zE>!%i_*(IK-nU+U0+L~4yBuaZMPKbSm
zefJbwS6COv4QJ$S_A^U$_FO%>?f}u2?=OA{sXW~K<|e{bPkSBpP0`QoodHgcR*njO
z8v4xb7OD)4=`V*tQqTEIE?&Ef=Ppjn$3Kee8!*$a*O~R4k&;%GG>}wRj;Rc*%#Ya8
zY5fsk&r_aQ?%nlumClv<vT?{YdZ$ZF1A*0?eUyz{?3+61cIVtIzWa1aqVtFUAT`)!
z+5}wH-=sXl!aKqbi71n81j_qqaWNh;IoEC1&DiXv<Wh=-El$ob+3hK8Xt<l5jT)s1
ztO-2Zc!nm7IyA_F@V)#VPiB@ikROUk6tB)PoA&KtpK}zBp)wiT*1O{KViw*UnpE*Q
z@o>J}hfUKH^HrNhkGtCP8}&GL@zgfdF&I(kgOdJ@6J8afCngB&3*7fHnx;(47K23)
zu7v6;cB;EwF~Xb8jWzpvdYE%0rzGivC2NETmic4sG+%0WRu<pH_SNyjv=r~<)67qN
z4F-{wqBbr`JF9hFMBb6zp-G@$Gri7D#dD{LjUE?cjil$u<IVUuYc;o^jrV8TyzH8G
z@BI4R6rKuRbz9P|Q1Y$svWnEM;Sq%VS1H#W;j;Oq?F2`}>g-=q{bi@BMrV#2y9rLi
z5+V~gX*sj58?!=_nv0uT4(^zsQ!Qa@7!)Pk<4rb}QgvgE5XOp4RWy50;Q4XqL5TcE
zch-aU7e+FRW^fc4w&zBLa<l|r8}&zr52gBfI%D!1u|?-;hbaJ+;~gRp1WyRgviEo2
zRGp}IKKxK&YN_xqaXL|fdiwQrqE1rj@iY!Er2$DT9d(jkG7RI_T-_%zwSjed5A~lK
z@i(yK+SK?YX!j@oo#_LS1)12cHPzSIBg2aijLi_kDVud&<9!qMGaqe^tNLT8JUNI%
zqwVvL^I~;le^etQA=>|O;#_-`rhd97lJ0O|#zlpnJe_!2`MVj{e$CWk$3}#IX>ctM
z#-@iowA1;nETca(SSR4a22OTPwx4&1Zp56yH#ZIGq2)Z+9uBYMZId>guCBN6vhOJ5
z-S>HGROf(f5s5?^j6xTp<Hz)KEonul6ECQ>Uq?im9{0732mB&G1x^6N4R2lfOpA_K
zY8;z~S<<heKzu&;8Go02%LIMDXy;qH;|o)p5rZ-NJyUE14IFr8l;+6WFPjwNH$bl&
z1-ney=XISu)2l~2=nLe1FP86~;?Slqh5XUoxu)bT4>A<)cl{X5AlgR-!~IKxhiAV(
zH(^$(BKj&qiT!C&p4QtJf10`btd1-S`FMhIzB7Kj-EC7G(<?=yZl?}^7MT~L?n-N2
z*=a&N5TY}pH?zHYfR3O^!2eFyVA<JMm1g<Xm^6GwX<F=6(hkZK<6&RxJa_cKrD*Rw
z-@tHGHWIccOiy_AdGqDyCe0f98%BHyd#G+9qS)m*+Bw|P+?@L#l<|~h>b-7QvamE;
zhj1jQHJV+%d?4zT^7QN3r`QR?XQ{O)>V9f2ijL2FBg&#(6!~Z}`*Kt-naeXfT;AvI
zwnc|BWs>2kw9MAcx=pwz!6IV9fhADUAt#_O=OYKJ?Dy#2!!^p<MR#+Y@E|O>DH-3X
z*E6*NHGgFP4tQH}B7F6`AM?g_+(RvQmEesdRQ+q0J!nh)@is=6P+7UCfWy(ZU&lW7
z$r6iZ<(aa@5BHzUhvdkVkTl33M_=%q{cJRu7Q)L-kv_`$fy*wE8+#Ac`B<;&B-#us
zoY9s&mEB@|lyH${q>cGKhlN0UUx&R`Uy+;MMc1PCyS$etE^P#d3v3M}Z_8E5Q`BHv
zQKI(z&OnycRB;xKzj(UOCf<~(5s8Fw@}S&cu?jsPtX*d&<}Y_q)bdvGP|k>+MfX7X
zW;K~fd;0Ho&?!I6J+HRi5})RN*qsv4y5gDaRZljr)>=?sMp1?jr^6|sA|$5nQ|?pe
zEPftb6kBW?Y3peZ{TsYh-$4@88qwE$@%Uh2ePP{i9ce*AJlAM@yq4o-VZHif>n?2+
zI_P0>qkL-n^lHLYV9pMKsCi#osr`+&A`v!PE5Xr3@dN}9L)>jF8xpO!Sk0g)Fmf(5
z@RD+q^0QHH&>K=ere%foFU<qZ&HK&qABhpZC?B0zh5YC9+-@mhrcNl^9lV+7X4wdz
zF{`eg$5|j}pBH#n-dRwrRm=WLQp<ZS$)9Ptf3N?gM@mRG#&CEr({gmCeyD!nMd0IG
zbQttoCZ{LWr`m>JZ8_~7+3ap1R5#S&*9aU{64fJ=M`^(ukJes^AD|+zPI0i$?jGBE
zjEoSyVnp~FE9N~ZjM+n(d|$ka{Cmtd-?GYwv=Kl0%lS;YS>S2H=?2aHWe!Sqy(fB)
z{pq450z7VUW3_%1XGDzPKEfM(v3xxJ2H`tuz*NiHy|z^T<1ss-`-H1=VT};7W6g`H
zp7uK|y=Jv?;4(8=$|}DRA$|;4@m3_b+PESYOB``W3AhA{kNq~6p~gST5y*j63cGD`
zf@wBrWtqEGlAUmJ@#{v#pQV3tK^9&`yBp<xHOMv+cPt{C@e>l;PdtY)<$iSYqp7sr
zJqp_WzE?*!55^nzTZ?0c{b<y~+c!ah>yU`;wRV;VY1aVDmsho~IRrao2UuXo`<XsV
zR;xc;c|UTO;y_Tb6YEOYaN-wlwcvr>o`2xy_)KCEXaWtn?|@#N6xO<;GhI}B&=+^%
zEw_I2pi><7-xtwaxvP`d4C4=t4t%^@Pcs%Wj&et)T8%ZH@$PG=`Rdo`w>AXAt5vxU
zS-+>+NjQryTvN+M8JTR&lkZ!TC}F4E!Ip%@17pg~KFc@!Ij=AS^U_s0gBmp}lze)`
zqB9{jIy0xFQbkMDb<FMZVaE`L{v$l`p$9*DEMJ$LQ2o7NCFakW@L{)1m`wx=XR=Wi
zm#SFaYHX^mfRt6hG);BkJ$UeY;kVi-nnffm*(YruZNhRD+CD~a+h{zypPRNic4odl
zrsJ$nr9(8tISNBqp3Wy`4MBa<n}OD=RuZEcp}%kVWCgQC9tymkGr#ZEH?`@o@9nvt
zKNl2<BdVsb-d)yxKHdOtWL~;Mm`hgK86L5FfBIKC<v_f|$L@_eWjmFBLf*grT8Gzt
z6P_vg_A(}7_ko$&mr^3^P-m5OWicyxly<Z>X*%m)x;CgX=^yk>T2)n8J&3+<+s4h&
z!GWbm5sc}z3->%D*1v^3^XkjnEZSjz!hUSH!ggUIo|~@UuGw8G$>}%zX%vO<#lAG@
z%`JT7W%%&c=b;YL(LF$|x~)D?PJib5bf0c={BOh0T%qYMDqaCuqN;GEK*a$6g;e3N
zbvhdVXDUK*oA|CSTkTICXq&$Jr?~e&D9IFUMxDgf{Q3UIJb;bX^>i!TKPYM%f1c-{
zC4V!-!=k|tE^c%?eX->;dZjK{@}h?7^`j94UlfwlL5x?kzQ60gN4)<ZI<dwBNwoCl
zIi>7Sm~=@rZ!~wWtlXjQUh9C>&h=yNt@JN!LJr8%F;QLgTTig+lpyQgtrMP?<Wf$3
zJYa~qNK(8PYK?Qn?Rc_0WY=y*XJVbEDPA=4GMRK(t*(jQ<`IoR87Eq9lrN#1Vd}mw
zO0M&V4Y=V@?v|bHlbn3vx10P)4g{p+vYig5N>8>Jg&R%ST#VM?#7S<x@D)m^tAl=E
zNW?K6jdv2QuoqsqJPpt86X6q*HpYqmCBmeBZ_*?*3}r|TCfpv&A`PqQNGPHW>n3~5
zh52F;dE*z|=kgoIyTKT4e|bebKUezRA$iE+jn>8H=co4H^c1;<rm^)QwVq7TH49LV
zP2(r6MVHO>Q=h8BxCh_675kJO?@6g|?1wCWz)>8NhqzujwGulUrtZEz>hMqNCwPQc
zqW)iE{Cw#wFkN}N?M%GBiN}#4C;Jtd;cTfz$}Hmv4!uzJp5Em<8FopR{iKXcpXKq1
z)(MlGTRh{HIFR;p4Y4GXj;fve?b}a5q(COZ3s>CFQqLWTPveMtu5A^tnXQEbV~x3S
zr}TIV?#)|LPQV@jhm)`bwg)gtcJ;(Q)+~J?Bbcw+7-f;wI^OIjJs%)86gttPi#PX<
zdw=`O3A*9be^1ZF&P=RV9rA!9+kLYoki!fI()Gfq$6BYAq$w?cRNRwyVs$afsbclr
z<%9hG{Jool>HS54j9hDPc=G+EVbm|UCpv<5M?-di2c-G6;Z~Xw+}C6M<?&@btRn$y
zX1>&76>g1$BTYEW03{%`KBuz-J1yAA#WG@jkmv>s;h!nLxqg$iUF!tm1p-rkiwj;U
z3-iT2nSz4^mGpU@9&g-Pr5tRAH*@Jt|99W+QA@Fb4$C_f#U<w^ag0yeRB83fZa(w{
zx6<%kclqy)N^PV1^XikP2s;NT9sr4wF{ay`XN~GM8XDk+>ddh(!*)!5W4Ym&BC#~c
z)|p`TAHZ>F05n2h|Eky-6n75~L8^lRzcW!rUc&aO|CFGZJ8+_z;D~KSYXLAFz@8sD
znnIt&%8@mnp0@U<xvbz|be_a;*)e0i9z;Tu_jO6(+f$wOcb47p0P0Tf0?n^>5J)Py
zPm@81;(;Sh*JFufD*GfI2W%`#tk#+0R`dKO{l%;ABCD-Y&(eQ+e21zj^en?Mu)e-G
z1u+)&oUUvrK*JHMP=W_yHuN$8`f1Md+FT2;q)E-D;-*?EOwLV_E|rJzPeGgksDe-}
zkj@$g7#mKuu<B1@_>}V>vOHqV2Q&qMuU{Xpm+@(>#VJBmXg}S7s5$FySo+#*Hr>WY
z&H*qo8(VLC`|UDsC{<bzVBz3^Cdq%muOJ*445W?sfq@@vDewLVuYLfU=;xs6m|8BE
zA|brUPB_K!iIUPckXSfAz8}*K^-pIT;9t$m&O(ofk<lVBnWUwqJMsA^1q~t}QH7)`
z`x&EmVE_3iZrk1-+MdoK%YGNtKN^b7adB%qJM~by2MRskU-b7<sQ%9k4ElaL0q9Lk
zK;W<Q5J~_n6)djq+q>U)xj8II!PdNp<q}Dcux}&?YX>zA1$lWVXXiT@7)K{3e7wBU
zF+^eQtSl_R8V(B%o~m+4&dp^)NYKT@O4BVhL(0j<LJiUR$jxOk8{^Pae6D$(3^hQ2
z++jfM+Cz!p%vqq)S(oGAd9SId3A83jNlBOvXx^1AN&zV9=S7Q;;i+9;94QPcH}kc7
z*|C8Yt&x1<Q%Ux_F!E3w`S_8?`}~!-xVVv#5%N23M=@L!pxkL{YYX!6{SRh->zT@&
z;=bxZR1}xS(kcZls_7hPMirJAR({rjO#0`M2XI7hA%HpYnUL?kWZ*FHKC50VHiG_%
z2l`u&LvTUVvw0Ts28&MfBi+vJ(L_S(b8v7o6r1Xy5jNJ(Qsd8?Yk#!6o?c!A`1nve
z2Ota0<5ogE4?VyUnLb1i@RR>CLHBRgY4AKv;<qE_GzcESp#qLDJ1Z+IGc)K9m;+-=
zB=YL=Y~#1s@2Oc%)LW(mgW+jpN16c=G(u1`S5WA-D`^NES)(F?V}ya=1JVFMD)3ce
z%xy@Y&|G|P=@obc6aN$(%8Z4ckzKm`w==_md8qeHP3g$VjoXL8q6gA3$l8o27c@LS
zX(2cQDE$2vtGAV}VAQojoecZy>!rWTW9`6_G;Df%b@{j8;m7FzzZh3Jy4?{g%T}QI
zqXS{zJc#HLOPPN*JFGQ9{A)0ZAcP4{u>}Gbqy0n|vZN|3Qy}*)yN5j151VV9N5U~K
zjz#)0U`FyUS7+)zA$HggStlrw+(=_6iUOe)N?|bM^N;!|sR9+u@rmO<n!+NM0%D^0
z^-&~r2j|<)$xE&(OTLxt=_ib{`jGM1<Iw_)2r)3~pxXI!JgIESxwbQs8oE9YCW_mY
zjd__HMNjt{!o7eY^E-efuoDhWTLA5e#a5NZv`720u2`Z#v3Brw-`V+hcHTAb6?0RD
zqo)UAD*_|fjD|G$<xOWB)Xd;esJKFA7T`EQsZj}9^wH5()$vG^0^sBGb*C$l;##$#
z9~mA#gcE&Fq3*NIhAeFc29t<Qi`}TvKr`%3R*PvF%!K2@_mK5$R;+m@e*RPFK{$u@
z=JDJ#8gyaLlg&?X{%)<B+Q~u<=+}Tnf|`&mksvxy0mR<?fjXu4&e!TOL*hWaVc(i)
zH9Y{<hO>YnVcJ;pymiev3l4TRGh?dIL}o}}vmk}5!-@nAq(-1Ok~8DDWSbAaSdooc
zmQ{3i=801jeYqUaq1dL%;dQn@o=_tx@#ZL&ki96s1QbE2;CdiSptd8N&K}GLR1YXm
zWhCN1(7-Go0K#1M2h}khm`*}b0mnAeqjHO0I9omA!OQy$A|kV6V}!g>r_pe2u)J_y
zxOI(zSUNTAQ)nE(xYyv{yXH7ob98mKIQavrt{?%>3lb8*u;w@5>{!)>T3jFp1&VO$
za~&NIILjRSQ=#4Fk)0Wg29P{i%j^S#FvPD`ea?!}dQO0sV&~{M(9@IjW|%aIo{g<A
zKVLyJ{;BI}?4Y<@p{u>UJqTm~^)BOM<^#S!9d?|%cYR<CHB6_Wt41!8)7n~sty18{
z!X*eZysXu$*(NgM*##~%Fcb^Q?MFuEeJ&rMTPy?R64ZC@J@Qaxc)Y`PZaW9>5vQY*
z(i~<cAb`V$9ew^$Z{Ub~t_tsK18EP)bp6KM8fr*b*gw{s;eSBv_*#H<btw#o>HVeX
zPk<IQqsBLXLC-}~6A8-|ikHB8cRN`4TCirql#8T2DHa`!Kt#zqMN-!@E344pf<_Gy
z6%{9OnC8uw0!I&y7A|UW_#7SG|7d}l3Fk8&|IJv~+VVJ`>2pO;oJga2_hAQJ+_%yG
zr2G2sA1*i}IRLiMSA$wL8r;tux1_zG6%hLI3}v*qmHsyupx!NF$A^t5w|(U$oEh9=
zWu-p+1;icR0>#a?fO!8-M*;#`e?ZcQBPmsFGYFf<5`j=j6Z-WxXC+6Fmv^?o%UwnW
z#d2};HWum%v^-f?o#d;CBK2LN`W}vJ8`;$3^ne6Dkc7^FceHX8%3hH{+Y%{`3TI&B
z+$C^v$>+vO6R+mr%EiLQW5A!wS3k}hL!!jFzP_lnw2TT1`}{RxZrnn^PV4NTsa{h{
zSVuRc=<8$nl^@-q$0ZP(nt&k<VngcVU)xk4>`a!(xo~&y%|4$jek%AN`jMCAps8+U
zwSKA21YeSW$&10g*)+iy%6BpC`g@%J9{5~o7g?hsF0bonF}X^6dsz|_M=2=-xWg;T
z$g~XFpp#S_R0n{7Itla>i~d&CTj1CqKKz^g>A6};cq^^X-!(b{f`m@qCilVl3AdW!
zf&C-1f{F^?LBV@0wqWF;Bb0zZK`+Tm`%|KfpNs2W=TAZ+NyZpj^kpX@Nl9xn0@4{e
zR#sc6s}g9b2na}94WfRl(mOx@4SQraDTxIM=^j1?r^qY=UFKt!Q&0kH0peQ|bT||^
zX1@LG!zKt^{du6O)?8QTvk+1(%#50m<F_R8=B}KdZe?UR9B;Vr^30{A-gb2KHhtjO
zLzq$WB2xauifQTS@FT-l^&E5(E=PD;@@gKaP;+BZRJazA0LdgRjf(I3ER0K_Y+5Uf
zxKd8Gd@wbch_cVH{LAT2X>G)hP@?{Z26}{qj7*rs;iqJEfB)KviPkWZ>e|}VjC}Bt
zUN_v&j2vU@4=_D0KwMm5baBT2bK%~?jgDbc{f&~7EsNct>!lNJe7v$Ijjg?X;CkQI
z$**n0?=?@$Ec}7tUk(pu8YU=w(`EtD4pUZIU*G4y$Fpc?7#@$ln=2$s9By2o^%OAi
z@>UED4FM6dyGl`fn0G~%1{XBcKEFvP4!WhDdj|=@$QYHig7}4ozsHFG^Iy7UUtIG~
z6OGgglh!~W%4RBrWN-kHrPizy=ar2K8X7GQ+KN-De`{1oh|IaKL{t|e#c3~dXE<0}
z1qF=APHAlhERLv{7$6#x$7-`JIU%CCb8-&H^8F>qp51B{LYLyVzghF(BW}K%2n;5W
zlv`R_hUjIp(g=&LKNIpp6a*fZUpZN4FgzKe!S;?0)?@5^^S@y(GBgtS7&wR@Kcm(f
zCFm7t&=H_`Mma=i4BBHr|NS;mwhwVBc-~<n1btS(b!J4cj1FD%ErhU0zqz3kiVRi;
zB`?AkB7jv-ZLE91vN@QpK+BGoio)aeArrVGgB^k*jr*aKcf(0_UQ-ZSP1&@Ijgv25
z#e+jG(XUoctlsWWQ^7ay`&OCQ>n*7ZnxD8J5dt>SVoZ~V@}#@QgqxHbE6bpYjGXS#
z>t!9I7rkr1KN1$?*M$?SkALME6h92JsPuS{o6{l2HAv<s@hn<hC9*q)>4U3lRcflG
zfIur@kFlG;_%zv9Tp+tHz*N)g1!l;CSHUA9de8InIaORIZ(&I_2Z!tKE?-H0SxG_C
z$h3`?mMkqkFuYyiYMPqUm?&R*dRX8)@7=R}|6Up4%kV^xmp3;ti8a)(cNtu`gG0n^
zKGzs{uq+Ht8mC&~!E}8R5|Nj+#Fdq9L_~y~lYX);d0#8nj-Rf{JXMd;G|PJWEc!mm
zPcYrHv;Dn2%o?`hJ)wJ3Ww$V`w;7S&ErF|NUcAyON`odIDoT1{qKB?-dSm0$mEWS^
z!SCH$kBAT;P*pkJ7!(}v%@Mn|T<w1F975G`s%a)dd=t`yWR>4RD$2^Bf5zuV5?<U4
zZ3_P`UE-)^`!<qw^g_`C6#DOpr5hO<M%;7#>JMT=-Zylwes#^vbzl|#{rh+7SyY{@
zt*xzt!&lqLU4NR(ABg4=wE#=)cx0f28F~D?Z6<O@EnUkIczhafNy`!wJ$@~tB1(;$
z{U9w;5~Ic%cZTK@h$ZtL=~E>CRL~PZAb{h3Up!b!5QL_cm6cfswKOv=f&2;W6ETBm
z(v{HiG%z`-UHKXx9iOeR`{om%Dg;W0`I)lk0SlypkEm4Eq~+e%)Ys>J`C?s9O!^D*
zFY8|m4=j#;{esTAnc~|WMnH<e!oV1I<LIDgW@ct#QJAg#@dp!lEzqcVT<!9?t*@`>
z`}esiI(1Jo;1}Q4rUk1sb-^Y49@HP*+$P*O2=U0tlYo)9r)PZm9_U3|<<##v{%p|z
zX&A&>M&J!50hn*$)0;JzI0$rXYz}7TAvX^0Yne_%Ctr9cm1)^jON*41p;N$*9}@P>
zD!DbUwmvpBH38uP{l3BB=-m}KzdNS;7nj;LIW$9o(%9&KpTGCaDQ*RNQ0;r$>y*Gh
zN=W!t**ySPbv?Blq5Mo&H{`k$<Eycm+3}wvGlxm3tj(a8StcQ)^YhR}${sBrdxsas
zcK6rwRKLy@o4(sYCN)`Ew-7^<lY-pbzSm*EM1#miOTU3T_C92eKyl=?P@u;bOBa6!
zFp=;nw4Sk+-0cV`D=#0>(FI01!9^yJ%5Cj3S2jB@0^l&>wIc!6pWEYw(2oIAs9$CO
zY<thqj6ziS10w@YWaq`7l}P9v0gXkm%R}iCqgSt9eHpeUSI;92eGP3&>FMc~J<wKm
zaoBp-!QMXVtnO@Yc4KYr{dySKotrBa-$T_)P|9KSKDcQ_$%d0b<KzEZ1}frLaF`j~
z((6ZQM=9Ew)E!UF%vNGq)cLehnwrG7N6#N{UoSy;KoIQrG?6E}u<*&f)8+&Od?^T4
zO(^MtRfE31>asF22zgjoByFZ?jNir%Lp$|NnD*1DCN%U8Fs4q7K>3Ie9VOvq*5VKD
zl(e+{rKOuTvy~NImvyD=#(|Av$eW>63{Fm0L!*YRLKbIJ)C<RVS!iEC`pnA42JKs~
zAAv;HPV6}+Rb)v)!S>!BJgq^4XC)&^1oyXKP-;3{LW)y#u(sBLuxD8%%l!KCZx=Q2
z*uaQr7Z|W37mFw@(aZsZy-Ww@waxUUx%n5hMZ+>vz@|atC$iISWMfhUYqUl|S=sHs
z#5p7~GW~&B;BFR()`4rSJ$d);9dtu~x;}u!FsfG!nt?_^4{K^>CX;I>Psz+sR+kN!
zTK{)*6ksfX2ds@GCnS7_R<e<Qu1-$DA3k*abOQGX?I%+W&tzNv-wk914J6M!B=_k@
z>gt4nIQrdB1pmRS<lSBSY#hd%(Jg4Q0sbyf{T>T!D`X5?pPrsNZ{=&)LQ~>g5cIAd
zd_VqBt~s8CiNP3YLN54!_9HDUER;uf@W<2|>;va4s&x_|4`}d=<8kCZiJhA>c=6)J
zBdUM9)4a9S!oUoMW*b7EE1)!jxM~873y3wP{Al6UfaDQa?|}12(3F;!f1Gbnri)hP
zyaq1p&b<4grvAMLV;`VvNmG*uNVhgNkSig4fffk8A6;U1(9tC-ymM=7UpqOecH1Iz
zF9#~Ob|4}s;7D%BkxWdQH;!RD`8OZ_{vCgvw^BT(qo)UH2nhlqIkdF&8JL6TnIJo}
zzx4BGvt`9_?!o`jpHo;;a&~kiNtK~n3!T2uOn`#m6A%~xrf_*>=MY+5eLdc%2Iymg
z=EQO{)T<usRAueIUwKHA+FDyz;3AumCOiB4vNBKMtZhgopF9D@K+Iq0Ydx?ZBT`f6
zzpyzjk$!&Z-?;*ElX_ZO0zyKY%gfMnXfCaMbEi5wLc+pgZ!c>a8m_V;#niS9O*uam
zUThqZ-i6WHB;Ycv`vx@HqN2W*7Qc2=Fop`$aId<MaR9L%)RLf8*T`$H5@Ui?8qJpm
zeXR(VBlPv${6IT|JUw7BBXZ2zj>e<__7Mn``hqsg1rgRgT2|Hq&_IHp$;s-xJb5jK
z41-#{JMR-nL^;n*=KiP874PbL2wd&z-P*_Ev0bbJ*$IajD5TpG`RT2Ie+|n*8xa9>
zZ%fNE$c?4_AlZ6#uK%Ke{~ecUo<DS^R8~|FWaoi;o6p7UA_4(BgMbYL<E}tnG3f`1
z>m`;&mLIf$y3!@RBC}joCXa>IQ#a&Aa4E7D_*<Qv0#;U5x+U^f!$-;C;n)p-9-d!Z
zludfNqCpGgz<{#Dq$wq^uiNGXuv{fFR8N-I_}@twYrMM+Xgf2ZB8dIoSn)Svi+Q`I
z^Hwl{1R_XUF|nUMnKAv@!U3cZ6ay#0VP!yX^VtE>1J)=rQddedOpEQH|JB=h#$);S
zZ~T;*y|edf$V^sN63Pr26$uI1TL`JhNTg6kc8QQ8D}_+Dl#n7Ll@gJL?&Ior->=tw
zKm0%Wds5-*I<NEm&f{|&@2?LzK|@2+x7d~iDg~BsCot<pR)v0>PpMz>r_D1h+4OW@
zdkh-vo;|UoH$gVEOCTva&k9cRc5rkK)9txqT?USwTRkVw9<PL~k`gJZn7mK6QX;!{
zg+G$BpbuciY?qx48=6#fi$en}n}4U#^GNPYQ)<#gEAu6pwQcgx0ix+}>HU@+CJ>BZ
zw}eYD@y5<}BPS;(AD>FRwS-QdEMiSEoRW#u$gr`q7d)klxJp+Z1CDL_l`GJ_j}45C
zB{U`#yU(ph+wa~TQ~4>gk9X?qehEKiKAPyehg15o<bz6w_dlzirF3$@CYjc+B_I{E
zl4is&>(Lr6Hc|hUZyOFD`7*V%*3Ox_A=C+{QDKLB_~5~F65{lakz;N|j>ah-T!o1~
z$)?CZ8Z*%!gwQy!(UxMX9{GsWBqIZZQEn~-9q13m#l@@NzUBQgL`o5>X-QM4AZBhY
z6%`c-{gzi%`95l6U}SvV6wd4HNE4mVNBM#dJsmT%nZ$N!X%fy)!jzUm8v_Mmy9n~^
zj=Z7+g$is5iugfyEMjdMLw6X4QKC%W>E!&`C=EPJp2pSoX<zgyxlM<tL8=7zS!?Y^
z5z?)?B62%+Sl&y+c!OmXgjJ}&fEZIw-zRAsk$+YryV7Ix$W|7{!)AN<6*rSQ-PyCq
ztSY^&l9!k7YtFfxmG$#=*k_~KZS>z*n3+wnVvxW0=FJ<~N^&93@dwUsZajQ^`$bap
z1hO=?;DM>B@pg}#raG&^jm(M9&y`P76C1%vG@F-KusNfXr!S^c@ecA5l7bReoM#`X
zc)!s)bxJ)m%|pqqbX2Lp!oosXMTLw&BgdvCvjVn$q==7EReDaoe?J2D&VWSrvu}Re
zINj%mN~PF#Gh3LNp5|XGslKKjA}=mZY1B18Kaa<2l6(H^SKoKP4YyoIs{8cJRuT&k
z0un{nKoD*s8G+2vB32!)Wyd5^Z4Mkr&Cc$5>zyV&jfrS3nXm9~f~oaxS`Q4n$Vh1w
z4?Z!nIeb`}H4bk1g^A`03l_-1`s}-<*umdUQqvHoG2Fi&aI<{#LI+n;Bo+%vpH#pv
zM3tT(l6QHWMJh!fEr0n)o=+X57VIi6Z$WVlf!5WPl^Yvfhlhsz0|TKsr(M3h+49Wo
z+tR+yK#OVlY0KpFe*W}nPkEz)67paIA}L_C1|#wTu;6C>;ei4027%T%Vq+8XXFa^M
zB4&n4m-E8(%*@&Kl_6xfa+zuzU1O6q*GY*v<c{N0Az(Kyw(~A5EKoD@p<5zsO*ZGL
z1+n`*c6?`ajsgXpkug$R`2}3B+FIq0<En?xf(TA#)YktAfdPnxh}9zaU}<5Y|9L^n
zkKED5W(2y1S*Shi|3yU->gtC&107t`kkG(ZwP~qGEj|_Nrf|?GDK;F1a4;Yjqql3%
z-n|$G5swFaQPFT7(J%Pst1l(WGB2AnVDSGuUcVCqK#S!AycQ@>G6E=TOt*%bd-0Ya
zV<vDbV08gR2NFPdHHR2H@aS4<D8TWF<z}R(-@{&)vJ<~^@m4s>K!wF2H|ogxVR;7w
zx&+hX%1XApbNuAu!`UUIKM`xa?IbFz*d0YqjVOAP*MtV;CY9&I!y-GeQM%jF74PGv
z^=@hH{5PnWYO1PeYV3lle1d|Jh(Z;Pp3buY>cK~u??Riow}G;wT&jKnOy48ok&5%3
zgM))TJ>^YJugAw5v6A$06uaqg?WvNMAmTP!h;3p?#ZJRtX`SGajV;DVQ+WNdpJLG>
zVAD~*$R6LBe8c`X&~-I^fbO2hh`FgLnk2`^R-I@Fxz8~inOD$scY!#+g!_$>Kz3Hv
zt?$NaG|>^i7WbxQS<2m|`zJd`f`&!@ni4!#h%{_@c{!d}ef{X@sNIjX+O0dmO0Q^M
zS0zpx7vp<RBZ9;*5MfO&XDeN34?*oD$O0hda6SDEFZ=mW5V6BSEHB8(H!~qoM&;ye
z?s?cCH0O9Qv3GX%-Mic|a;J-L`kIZ44)nR+4SF3ii^yNT#;1h^jHFFiR8?0iRGrCZ
zXQucKAnB&<hk}9bZI6#!T>Ax7qcl3S-M#)zSgZn6o#oY}lHP|-T;A9ijt`2wQOZ?z
zLkF&PXtY?1V}*<k%~7C^ls<^QiC?-Ye@_Ff%gxOViB0g^35?iq^J7&P9Q>W)b>G7L
zJjR&P^74q;>p@_9>@@;s1sh5rQze}hp7e2Ib6ENF_lJt+(2x*Z5JYdA(rYSw#>gB{
zXmfIM(%ztDrug)_QB6js_o@j)-@z#=0+J_C=mD)i`(^R7S2bHTH7Bl~OVW5WwV1xm
z#up3_$|$ODDc7#?adXEte!3CVfanbtqHGaAedWKbk<#og&d#uIM<C;i2mO~D+~oQ<
zwDqI;&+p!jD?gS$p4@CRTz+_8p*iwziifsSXk+ea#?<68GRMzOD=sQJ1wwMB<~*1H
zS%!s<>4_R&bN>8-lF!ji7j!eWcNS4dF;P+SYLDe4BnF}GZvo2n@eO2jAwgk{&s*nA
zzWfTq<TYiVXq`M)UjjD(D;Uh>UN8Il51^fs$VHI#+&`B2(?nlNO~s-RhZX!Iz9R+L
z)wN~YHgIKzt@Hd<e<RR{jBi^~M&AKkI6%^V%X4OlrILB3!2tH-r#N3gM?rjEK9n#0
z(k0;KF;wI2z;7w75mLRLotnCYRIh`((hqD2!|=So33<-%t~I=dO=fHyFZmmwk8uV4
z{r&Td?nQ-#0sj8j9dX!I_Xly&w}ViQMj=dDv3iq2BPSB6N(^kBeBEC9T+vt$p&A2W
z%l_12?2m{S*jY%V#>Mf*Xm8_;{L(_L%xAo~k2*E#>2$<W_f9mXm#R4}xt<4+QGzak
z;Tr|l1N>{pTm=|v&9S}2HUINV?BsHYK>R1I<pmOM4Jkb}QR{OI(;{i3d-NXHgNJCU
z|1Qrx@8ZY(nC{}>V+?vfAijT$i;JG>80u$e6eKFTW$hXAzvU|Mt}#yc<y=h4+l1-~
zvXa;ZL5jOMOg`&dhb<K@jFfqjdt%4=Sk99fcL2+IY$8cTFRw|23BP~;jzpg0RQqWZ
za6s#y!oMJ5$%WL#c+7qH^eOSeg~yy8^jD!yqV9#k{%mZl(d$-i^^(<zNWoEG&xb++
z!N|h^uPjlKjhZ4p1=b%^lasPcZenL$#)Qz_`PBmV=V*ktL{ril$MezUnRYnHV(M&$
zqC-y2=rGmJ#Y{s1DHv5}n<}Tc=H@>Xx=eqIv?p9$QD_tk+~1Vq4KO{f_Tj^ar~+*C
zxT)2%+1SwV6~Ou+GRrY_aa|036A=*s&7;e<{ck}PRiNF>XF^PAW%o}}MLn51T<a~2
z4F2EPo733QGc=jY%gedBx!8IDTk)(+P6?0+B#q4v8~|hj82jm|seJ2W29!pi1Yq33
z(zLRBMvo>@Zyx|#1_n0x|9H;DV|<&Lv9hoLMZfGwqpG4JyMlWH14`wlrrzl0l9G~|
zn$14^Tk=e;G2b3O-2K)Y>&nE^VjnrDDZTi=Su6FR1wIOGkren(anBP9Fdm~0wy@xN
z{P--Muwyh8Ia(o(Cm3rCyN{pTzTJ%k{C<frQZ^0qG)5u<;ab+XR&*g=HbpL)^Q1#C
zBsnj%Im!{>qA-QDx>Q4203-pA5)2Rfh&AVrxo-4AQ>MTjS=-o<5q$joEP@-&ObCKC
z4k<HWGmDVY+CP-rDwU9x@+DXu38u!`)#5$HatEl$8UE(E*1~!}ullVXd#b=Cg{t%u
zzU1((@9dQca<c8<?I1??c~`UMa3sBgvqVD5d;o2%PM+z<)BG+Y4!OX0hXx0~BvX4<
z)uP2Da$NQ)75T2eC!dUxzL!D&BV0!g6bRDSS-z`2G1yz->!_(iJHx-fs~yF?6L1OA
z7Zs(;n8QC`T<rg+U$&L?%=FC~&@>cW;ML1GB9gwps1^pfpE(o9)t#iiNpnS4JUMb@
zeb=z)vea|hI#xM?sFU=4%KFq)BKs7z#@c&>*QM&t&23#Smwy#gtl2GWx)Oed)!9z2
zGs7|1)p|(Ej_;Ay6RlT2Pvl!^t+0g3nkjInJ>Qg?<8Nr7w0Y!Qb)DrQ*;g`B;b#P#
z?eaF=(4!+2#D82dZgz5Xj+T&9q$i~T<l7LEIQ8OtXu0XakzhWu<C^0F1o7DWEmJJg
zEuw;X)aegL?2qR+w7WaSaqVv0-6zZ5u!GBJvNK4C{_$ak!xw_2tyV7V4&OaQX+dbY
z8+@o9I-akgV^3XZE4TLVE494F{x?v<m>?lukldGVu@x7~TDTl*9vyCxcF7}hGf(v9
zYN`D7=nhfwD)TB1(bz1{8+ubkF|QZDcTD|tr_-JLd3N6vGJ`SKW5#>y)v^ORipn0?
zT834x7(8Mlh$&&w&lazlBTIgrQXz7G9a4$XWe%h(jN@kFUjE?!Zlc<*w?MPAq^*Uu
zcE#n>oi{Q~7MA9g?V9q;qt~wY>X{ohA6eebLJ&OBINgfSigb@0O;yskAoKgdGW3+d
zxb#&cfhCp$K3i)o#{^tVnDX~#8fX?H-1X?}GF6~}UHM#!I1dwSgwwNKA3hHsJXAt@
zdv{5sjyevUFf3HPXxDi;iTg*ugE8-}pAr?-<<;w+jdyDo+C4S0CSHt58nuUXh1~h6
z{i)lQ(1Mw=;Xnv(_rNQS$S>CpJ|-u;yHt#$jBk*cy*DY;J#eF}K}&#)uuisFD_&x;
zHySybJG5U;0Pa;m{!<i$)Q`NmwV2s!zKmQ(Ll0SNzx>o`->vuj`OTE(>xZZfTUmc3
zYCfS?OP21YE_7lGq!SEZBPF9y#*7TH4Xfr%Q5kr}8DURDxJsWa>?w}!FF3QzqDV1)
zz3b_&jM2w)W;Z#ojTNY$)Y*gBEOVrOx$7~`9dqAeqZ#?uQWM49`t~W|4Szg&-z%t2
zP28!nsgv|;q4{>kf@AN)#2<7b$q((Hr<&h3m2KDK@O%)*lgNuuN`G$0vmTG!W2bc`
z;1i)GWOE#0hNoKNJ^J5S0Isv2ibu1oGZi=OK!}8#aM;LqSG=S3tI6>Wzu4Kbt2Q0Y
z+!Z|!-+I&H3=E%{z?mkqrYa7<<skp%AYH}8$NQ=Kb7{^x;QbaazI@hGR#C%r*1=fi
z+~nRUVfc8vh6k<gJsQ|c5HOa*2tNL3oc(^ZmdO6dkO$q0yeB07J6j-qaJhpuk@|n_
z>2=$Ee^2@O-RR{J#AC6bR_*agOUkg3tA6(JSwS-VM6l++T=O``%{VZ*|F%)-Qt9wu
znX@0RSYfz_AcFs<2ckDd{cj|JjBw23BDAW6Y>aEJt$+0&DH2X5h@lXRu5E^I?4r8v
z>5ODJsw@9*9-!)#ocWNVi=w%UnR<GdtUR}9q*@(gE8AlA@NX5DBIyhXQUg%<k42x7
z@V@%~^y9bsoMK#Oug|Equv#k$@yzo_3)doI)IY(34!nNK$?!}3awfmRXlQ1Q`E7!*
z_*0?k?I%Rvay{U>?;hUj6732ZcK<gWIUd{0VvbbR$plDdvchGvfvA=7!)Pc_nhkf(
zTc18=#jl&vG&ac38;n><aUIL2-8rtCNV4<YU#fENIuR`{yESW?b#eo7`Y2cWucM2|
zZqctY;L%&xS<4B^g}?ZYg0VVTvgD+Si3$b<GJ;kAQRy4{KqkZLlMNHrzwLH>O^yJ<
zT5zv4V}~yFx$nDAn!G~lTD4bUp!)hSBk`vCyO^JOWSA!2GqA=}`b6wmVPh5kto#9j
zU_5G|t8KAYQEJ|8ZUegHKW=w|(32o1gu;g=hV5~nQQe)o+hs;RTbX49eQsaeKlW(s
z)z()TBhNxcXF55g?QT>?{k60IwEam+>Xfwgd`RB0hCZ(w7_%`zsQ8*FzryooOQyiz
zD%bR9#P|eWjE;?V&newk5WJ;a;Ha$5DC8S|em2eTi>`X-HN}@I$}e}lG#}VNii*Ig
zPY}_Y^S0k+>_||3$3ovCz9^1Iz_7~Gci+)bp)L3!Vn2+W@ax~uPJy?zMvgL)V@F5w
zobnT&T))#1*9E>F?dX^=E+-ckG5A)40pWw(zI)1wml*zIGbf0DT;}HmagU8o?#Ez?
zm{`T_WLHBE>64WC1{>dt25Mwww3Y3<#pX>ZWhcxZJhV2HKFN8S9P>fljl@GkxkH<1
zRZUkUcXRC<%Dv(d9oRDTu=ISuhR3jiH}GUPgz_*O2pKTlI$n@=QR9-O$(&u3OObwT
zRynzQI${ccUi36l@9^;?BQ(kQU+dCJiR9`;vGB5ssj?dp+Lh*9C06A%UCNC26zGH6
zhoj>~ZpT`2ZFYUWZ_mbf)xjI*nR4lqnU6$mVJ=bM#v~_2UqF!_L{k^}@j88eV>;6O
z%fHqQtJVU0JsD@!>a$G4Zd+y8IYmBRkGx>~_=K}w^t+XGCLfJ2o?oa`sn&g2W)dEl
z`j&<~osm60bpFyl24j<@y`}b2oOfxn4~0zL8GQSB;-*mHal?c1R$ET`xoQj@DzkYI
zSURBeBDmhi&C#v%rnup#h`F-(6`tvXN{WJM>h@A~Rlf&K#pu@EwU;E*S$Rd{%mUc;
zuRHVz*&OW=QgL|ojAflo^9-{N%?Wl7Py8WVV0NcYn@0G|MZK08Dq;MDhcb)z|Lqsz
zL2(G6uV70&KS@7j!5{mmRo@ZkD$HbMXRf;}?!1|#b5!<tnrJ%ft$Aklje~j{y+h46
z(N)%&Wm+4SQAOT$)%fp^_BtIO2%n_?;tY(WOK_EKlaaX+@MdTzjW4Sn+ca1ZMMOoh
zz$CP`aiWR}S5{F$!FgQ~6|3`UUT$t%KnlgyImN5&6t6gqh>A+aDG=Cp0H&y<r02q7
zPS?Et!yN($xImjfXvL;MInIX1VArYdUvQ{J`mvMx;_tGvi;9b<>uY>*x&<m&RkaKZ
z4AZl-P+wt%%*zv287?YPET}`libN{$R<2?M=<ZU@oOj(JHnvpwiR3b#VV6WkTxgTu
zv17dQ*twdT0MK;G<b*EQhAb7u#le1a-<jXq$|`W>qs^KU%5Jdu?$rQ~0srG4uuwo5
zd1uFKE+41si)}r2?64STPyrwXG0SeayV1rC{GeK3J)plZGBO&nZIt%*H8FvO5qmRV
zj~@6aUc6WZ8iF+rJMa9$!q`rymF4AM`9+dOuAUN-lBhfd!9B&zy?IcJ<-DGr9^fcq
zgC#(jy>5;aB*w<aM?91W_0Z*x&d!a5tKusd*PLv5%`f9f7trVQlV*x?bD`Tjt!%?~
z4UD3FIoZlSIzr6sn>O{HVv%-&PDDDk2TC#^Wio>#@?Vv1$GdKG1!d){DJf(GY{qa9
zR+Tev&KVnIBk(#<YmO8NPfbmsIExJ{if5hO-G!!7a962&zaa<+mhctZ95c0d>l-_-
zdjo1C9tiPJF!EQ6W2J<I1b}{>g(&mkHiU+T;($V(yk~qJj+GE&*#reA1_sP6Ed%fm
z5JL#%u&>*)+7{;K-VoG3a_`=?C<?}grIT$H;zq^cdQRf|DUHj9lmv>jD7$WTEbc!9
zAP%2eV1m&3_wP^0hmhz#QBh>RC!ok;%X9Q--o1M(&&)iO)X><ZrJ>Y>iKIv=C@g`4
zOlUFdUiEspJmkOi?rW!Uj|%tCpFdyOEKq4ZhSKcZoD|q&gQ&~Z!G;=4+oa_m5I`#E
zK~5rIPKIaq$+YjWV}DjJ+yn~@KC6=_KS6uU$VW2)p9u`*aOl%80)nrT8b?jM{rNcd
zx{k(|RMylp(vKjJW=w`u5Amt^zJpy0;w>uQTdm4WTaEKo%sOCKUVORs@ywkwZ{Hpj
z`0~K^fq>JltLPTt>ZnkPq?9x?G}P6pY~RjEEPwmf=D7In!;A5;F{pm!cXru-ajJLC
zV})RfO_N~6cVPm1x-#1uL-@(NyAuz=veW<!DK#~9P|#{dK7^aZgakY$ULGE3^0?u6
zrF~;4B@r?mvhM$<{KMf34raRk6frFqlQOSf)i*YdSW=n=fTwWQfSq=aon2PLSP(P|
zg84$*Kr1}fOTO$Ew^313qm*E4X9rqX&aN=M6-9qllvJ*qih=pFzFsZE!W>{Gmr85Y
zS11V_BnXo-s3#!oY|w&~9B;H$KFH}+)VM;-@pH)n*(!IiSuZM@so~<|<Ab%mzywE3
z;q$&89+n6fmypmyZPK_H&wMFZeb0jCrG2=p)Ks>$z1LyKOiy>gd5(=T0FT@%Eac$i
zbUATC#cv3OTpmF|sDXd*P(dxNtFOlv8xMk&qW|^8ksLEGN-H$jZ)wg|L%OPlP3D9B
z{Wx$5pJJ1MKod$IkW6|e`n9U_O5TIO6<4O794{cpl~Bdzyw4$SBCvVa&(&vqcx<o1
z?y;o@)RR}qLr4%fnuMezyqtr80}}-vcP}rKLUXiGh%+EsO@w`JTvK7COX5-7iSATZ
zT8i2&<>^b8SmntJa>Pj$T$1Uv#tb#rn-vw*ghq}RIEK^Hm($X4%mqy}tQkSH-fmo;
z)^`I^UNBZ<<ij$76Tfba=mx+p3ZdgtT$TU(0kkcG3uOaTTd%EfZr*U&Fd#6HlZFCA
z0Q4&oL1wtjCcn6NZ_`_uKOK?Z-%`t`&_pxG={il;)z%VPkeP54=2G+Z&qp4p={2l#
zaN}MA0(!r75Ch$)S2Ni|C|dvuw@mv&OD6e90Yq#-Dd3cbz4p(<nbxOIw+ailz@M{?
zla68o>~L@2zD4E9V4`n){I~7#K|EY`S`c8!PWR42K8w=JC(%taGjW9|7`U*f&WXnJ
z#vcz<67niVN#%&S`2f23;X{W29)p+Io${knCixyC6F?Jj_X*Pj2bNI8YqI@))2Yho
z!k_dPR2V3mb_s0Vx)tL8S2&Jr?CeHi62>EfPmP<t9mq64U*DOkW;b1iOkM)VilG;>
z#+~V%&C1C51_&TGx4{*_aSSR}m>3!H^vF*`!U4scKoJv&VMDP?n4K^M!Tjv`>Tc<S
z2bt?KKfXt{CnhFhG*?+``Dk2BK)R&H7@)}W31_E)!;6ar*+r4(_N`k_dwac(Fi~cT
z3ncHg;@f_OmzkL$(1ivHF$3aS28wm^yg}*&$aQ#_lNcBrL<Pl<Km`H*r46T1tHSec
zVr~d7{NuLtpc}X$i!GM6y6Y=liTJb@7VHFS#&)*0s1GLLL)%nS5!vb?RbZNisM6?L
z;gq~>+sZIkHAv}L3HbKEdnaaNuJ2TuGV=^RJ!j`>RIz~b>1^G)WecnfC6KR_9o}Ag
zFR!7|GqtGXIi}BerD8}w^7kF!kMc~FO{mE*>kSUJw&GmV;laVMlc6F9eIdu9fC0PY
zix)5IYwLflkAF53FjFX&yxMjddOYv@&ETO<;OtA#i3J4&V4OMT=B5gavDdkyEoRA)
zlLyh=!3vt2vj#UcWXXlN8nQd8#X-M$=MoIOV5cf@C7>;4Wo5BZRD!EoCAtnbd-$nS
zs;a8cE|Dp@x_<^xYtWwN{2wGHc7Ke)A%yhw^abXnA}JlH+uXV1?eDKBEF5KAymQBn
zJ-WKvjx<>3g(bh!W^P3zf%FNj5RU{m7)(|CrLzzpskF2dCM3cXLk0&2bh(45U0GT>
z11pUl0*eqCaqcmGr}Eyt?OV3^`uWi@Fm(6!e*XCJZe`^nNKiWpuE^M97WGvIEE6Q&
zPRB}IRIvIHxR<#%n%5zGVlKrlEqxoa4$hXt^qfLTO(1LlYm@)_uaK{sZQM{pVCCSL
z#yPmJUZGO!;qJbbnTB+f0Lq?LR;V>#9d+E*6-qCNR1heo5BLOE53#eeL&QU!kC_72
zwfI68;j6!w{ZZx0Gvy*3I=Ae<Fs6de0=*r}2#M4>44@#SDFb|IZLQBcX>+rr1gbh3
zo4viJm>595k~npULK{TYy}G&=XD$9v%=eEq?7<uaK^e)I8}nKhRW~v+f|8kZGhb_7
zOhMrQkb^%Co1IzbG&b2%K-HWcdI4)IK$#{j!xh88D8%V){;<si2<e|(US0h>dO!Ke
zRLZIpOD4m$Y>R!QWB6_+X-A-gAVwf2ru#ffs79L^L7OLeyU*c1TJY1EGoj&QPF3VN
qIkRaGOQ;&@g`d3kk=E=q-OKi>GU@e(rH*t2z6|yl>z3;{ME?scD~-JX

diff --git a/tutorial/figures/wf_7.tikz b/tutorial/figures/wf_7.tikz
deleted file mode 100644
index 400d56ca5a..0000000000
--- a/tutorial/figures/wf_7.tikz
+++ /dev/null
@@ -1,95 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (-3.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_red}] (9) at (0, 2.3) {\small $wf.x=3$ \\ \small $wf.y=3$};
-		\node [style=none] (10) at (-2, -10.75) {};
-		\node [style=none] (11) at (2, -10.75) {};
-		\node [style=none] (12) at (0, -11.25) {{\small $wf.out=45$}};
-		\node [style=none] (13) at (-2, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (14) at (-2.25, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (15) at (3.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (16) at (2, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (17) at (3.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (18) at (0, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=9$};
-		\node [style=none] (19) at (0, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={nd_black}] (20) at (7.75, -2) {\small \textcolor{blue}{sum} \\\small $x=5$};
-		\node [style=none] (21) at (9, 1) {};
-		\node [style=none] (22) at (13, 1) {};
-		\node [style={wf_pr}] (23) at (11, 2.3) {\small $wf.x=5$ \\ \small $wf.y=2$};
-		\node [style=none] (24) at (9, -10.75) {};
-		\node [style=none] (25) at (13, -10.75) {};
-		\node [style=none] (26) at (11, -11.25) {{\small $wf.out=28$}};
-		\node [style=none] (27) at (9, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (28) at (8.75, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (29) at (14.25, -2) {\small \textcolor{blue}{power} \\ \small $a=2$};
-		\node [style=none] (30) at (13, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (31) at (14.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (32) at (11, -7) {\small \textcolor{blue}{mult} \\ \small $a=7$ \\ \small $b=4$};
-		\node [style=none] (33) at (11, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={wf_white}] (34) at (5.25, 8) {\tiny $wf.x=[3,5]$ \\ \tiny $wf.y=[2, 3]$ \\ \small \textcolor{red}{$\mathcal{S}=[x, y]$}};
-		\node [style={nd_black}] (35) at (18.75, -2) {\small \textcolor{blue}{sum} \\\small $x=5$};
-		\node [style=none] (36) at (20, 1) {};
-		\node [style=none] (37) at (24, 1) {};
-		\node [style={wf_green}] (38) at (22, 2.3) {\small $wf.x=5$ \\ \small $wf.y=3$};
-		\node [style=none] (39) at (20, -10.75) {};
-		\node [style=none] (40) at (24, -10.75) {};
-		\node [style=none] (41) at (22, -11.25) {{\small $wf.out=63$}};
-		\node [style=none] (42) at (20, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (43) at (19.75, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (44) at (25.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (45) at (24, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (46) at (25.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (47) at (22, -7) {\small \textcolor{blue}{mult} \\ \small $a=7$ \\ \small $b=9$};
-		\node [style=none] (48) at (22, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={nd_black}] (49) at (-14.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (50) at (-13, 1) {};
-		\node [style=none] (51) at (-9, 1) {};
-		\node [style={wf_blue}] (52) at (-11, 2.3) {\small $wf.x=3$ \\ \small $wf.y=2$};
-		\node [style=none] (53) at (-13, -10.75) {};
-		\node [style=none] (54) at (-9, -10.75) {};
-		\node [style=none] (55) at (-11, -11.25) {{\small $wf.out=20$}};
-		\node [style=none] (56) at (-13, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (57) at (-13.25, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (58) at (-7.75, -2) {\small \textcolor{blue}{power} \\ \small $a=2$};
-		\node [style=none] (59) at (-9, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (60) at (-7.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (61) at (-11, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=4$};
-		\node [style=none] (62) at (-11, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (15) to (18);
-		\draw [style={edge_lzinout}] (0) to (18);
-		\draw [style={edge_lzinout}] (9) to (15);
-		\draw [style={edge_lzinout}] (18) to (12.center);
-		\draw [style={edge_wf}] (21.center) to (22.center);
-		\draw [style={edge_lzinout}] (23) to (20);
-		\draw [style={edge_wf}] (24.center) to (25.center);
-		\draw [style={edge_lzinout}] (29) to (32);
-		\draw [style={edge_lzinout}] (20) to (32);
-		\draw [style={edge_lzinout}] (23) to (29);
-		\draw [style={edge_lzinout}] (32) to (26.center);
-		\draw [style=grey] (34) to (9);
-		\draw [style=grey] (34) to (23);
-		\draw [style={edge_wf}] (36.center) to (37.center);
-		\draw [style={edge_lzinout}] (38) to (35);
-		\draw [style={edge_wf}] (39.center) to (40.center);
-		\draw [style={edge_lzinout}] (44) to (47);
-		\draw [style={edge_lzinout}] (35) to (47);
-		\draw [style={edge_lzinout}] (38) to (44);
-		\draw [style={edge_lzinout}] (47) to (41.center);
-		\draw [style={edge_wf}] (50.center) to (51.center);
-		\draw [style={edge_lzinout}] (52) to (49);
-		\draw [style={edge_wf}] (53.center) to (54.center);
-		\draw [style={edge_lzinout}] (58) to (61);
-		\draw [style={edge_lzinout}] (49) to (61);
-		\draw [style={edge_lzinout}] (52) to (58);
-		\draw [style={edge_lzinout}] (61) to (55.center);
-		\draw [style=grey] (34) to (52);
-		\draw [style=grey] (34) to (38);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_8.png b/tutorial/figures/wf_8.png
deleted file mode 100644
index 8a2bb736b789b72828ef4dc3e14206fd8d2bd480..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 35242
zcmaHTby!tj(C(&@5|9#55Rh)9rBi8X>F(|Z>5!0?l<t&n=?3X;X%LXEyZC+gyMNyE
zJUqZTYp=cb%&eJr-ZgVV<z*$%Q3z2W2txlLDf$V5V0|D6#snD_yrU*m-wS>{vz1hL
zfFRTtPd_lw_f!H1B85JP3Msj!9;CUcy_k7;lv6>*gbnag#Sy}S$5rjh{ZgM@qmui1
zVcy;9cyyuV^TPh+w1t(;eoO82^t?81B4ZZvXDnJ2vMhRiLA3A#k6CQeHx$W3$5AJF
zG|%2pu+4Fm=gX0#N{^(n9S=2+-f&akh{3?a`U#R^!U?lGBa&jG`iYXg<VE#?ET%9+
zLgAM1VLQ-=(}S~iOkaJbjQv6VF?;--rz&myH%SWG^C*+KoIMy!WKjk~0}}}L<qOSb
z*OR@e;_Q2s&!0a_NlAVB^hsM=TVH=YI;!>Vbg-wVXL@>i#rqb$EmfElQv`aNJ~<&F
z!RO&D13PqcvQTlw=aCPBgrZYZQ!6T%ySW=08g4I-RXLPIpLGlIq#bQ<<CBoAjE$}C
z?-zUGQpR5YLS?!FubZ3C8X7Nj=#k;SP>p%L!A!MtajC1UG_$sLc6N>o34tJaY8)FI
z8>8D)HWQ54{>3Vz@b$jKg*uzN=b@rmshOf=p<lnYIBZ9r3Q0&vzzapb=KE-CMv962
zM({FF&^Ab#(!;|;!1XT>6&DwmF49XhL`aY<#<oEdN6hDH4Jlb#MN_lnDj|qvV=$3P
zRasf@kJtV*!-1~i(<`>Fj??cgkaK|07YFh;n3|+9L0;b<?vH(#)T=1oy>t9&mY1L3
z+tWi!;`VPxK~gg0&&0b;pqV7(zchh@fBle0EzHdciHXsWk;iOhWn|FfKPn$h2OXjM
zCGr0^qQmk1sG~hlWe{BCEf6j;yuNAX|Njp};oxL>)?{hgc#KP}gG?pb_<qA1ljpF0
z1laY1u<-iGjM~kT`4g(8pV^CSa&vP7gMw<otEL79nl95SzM`g~>7ST5>yM>E#b=~v
zWYn%UMjzo05+oIcU1-Hb9x;8fef@8D!p+UiWHeowcpP&(S(>t3tEo0KQ}CKLY;}}*
zgbiLlvb~lG{tMfHUHa0}l3yd&D7ZyyYinR&U>JFw&5BBZi}p`btTb6wPn?%8-L?ke
zOEv0fbr4V=?uI#6=r!x3$JT*P$b7AIkl{_<b-5uzwp_#z6x&}?P(T{{=nAn%p!nRM
z&#0@bb6PJ#AMMiP{RKowF{|Nfft}pVRp|Mj3RH59&aS9ER%<dI@9fO}G>ctN?GDF(
zo;a`bc%$0A!pO)tOET+1PELL@$PN$7Ld;C|3jWLUr}e{*zrKnSCcV<-NjKr)1{&^!
z=>_v5gHi9E4DtW{K^F7TPm@3F?Dj^`=aG5@A4SOK*pv;yPcQ<*Q3pAIz}=(cWMg&g
z4JIyv_oLQ=%`0BSfk6qocq+N}wN9Q*44@YL`gLU3H$g7TFikH0G>YxNbKB?C7i=1u
z{9m$(+r?KfXW~@B?cm4|g0Zh>F9HSs36sVA`}fb$*%{-$ee`+rHDy65LbZwivlosZ
z2+tIhIj4T<EG#UDk;Ql_r7dG3clkakBMTMz%fHLZ@NRt#4Gp~TT;iHN8WL~hKch%Q
zoL^M6Vai)?dQakT+P5E1<glMvE+UtdJp5alR*{#7P*4OVk^A~#B%&Tp6s#EfMi42m
zXKT?9=HU469s7(vP+&vt!^1LUF+eP#qQ4ATOG`_qHZj3^pYOC{_EAR<Zh3im=~vFq
z&(DvHM0V>Jau*h(-u;Dhee}Y7g<htEM8t8|?^QDw5h4y(tm@BZ(k?;bcXcJ;)ujtj
zzK}1>ti&>1REw6)pV)Q85ko>kYHDhNfq)NCQBg_a18U!Z1y1MX%LYwGyztwbn;l1<
z*nTCOMwFu!q`A4(`%4%ov-$-E#oex=)qHEdod0$Pl8TD2INVIRe|^0Gzr70*r_C2R
z0ffRr-K*8OkNvSF;1NnoS%{AI_F%_?-eA6f8kyi(>5~ke!Nc;TSzB1_|M`<QHG{_h
zEAWV>QjWMk4ddfe;dPtAKb3d5zYa@F*RkGB%7Ufqal@#C!Ke*CtAhT5>dP--+dZ6m
zPxad>L82f*X_P1N$TR!w9Umh>vvYF|jg65b83bt2Nd>AH6~plO3^yBnYn>2L{oy`b
zwXxrr{Oazrg9ArNqIqU`eUv93_5j=!a-c8}JCLts?Xw02DO6+>SjhLmyM5~m()0Eo
zBJPxh6?!E)X}ueIGM-zdfxvu)+D#8Ik)!(!fnMBYpZA#9_^<dNy(3hsmtQzLUPjQ;
z(w(B!w9k6qjBZ5$`vzyHHM%lfe=54BhCQ}_(m^J2_kcdfM>Z2(gjCdk_81kpOSf;!
zK1PxP2c=S31P28n(U76v3-{?Ek$)*I<6|O^V_H#&ynimH;EzsZFr%y)8RG71F8~v%
zjE8JE1hl8WMlGjXTUSR_c5W=J_%kHp0u9``0|7`VT#O!%P6hp?J@;2N`qu;mwvLYP
zhPIe7;dc)Xh|kxl@5_+E(D9dGsFX;hc}Tw@D*+lD=ZCl0A52X0!RrlEn4T+~iY7jg
z8tZ4^Kk4D&h1@+nzBU#5R^E+@vic7GVn8;G0Fg_7IZ3v2aA(?rXHNde+m{2)uK=Nu
zsf%7Az1<Q7nt#i(4Vue~iwB2?RwxeT(jC4mPcrC)0awaqQu8n~>zWVBDd23KxQ>jB
zh?m1tGrxlCd71_d226uSP<7~6Q&Usv@DGX7w1ptgxSgQqdkBVK5+U#^lwU>3b`K8`
z@@}fc6@J##ObrhYPnO_!zC$M{P|BB<S4R$ba{kg-4!Z>hySsYK1e8;FBwzXonGt{L
z^(8&6GoYQ488uKC1T`WeqF8n<w23-xv=^MZXr`Ufm57cyAty2a?Zvzbb4d?(clVN#
z5=%?Vh%~HHW>mNy=HXB$OynbARs`r<$|BN~u^)2@c_rq_utO1%kkE;xKFJOB`Le8D
ze8e0?1a}+L^@@P?YnNUr5`VT4fog2hP5|}_-ZO9?zlsPyzOx!_G&c69n`27BHZld+
zRy-SmgM*Wml{GeRBw$UB=-qI0bxpFt@=YdU4&s)@@f8dLIuORe!*f`Hm6r1Bj_Y>J
z@)RM>2G0g>5~mX)O*yeBgWsut@X;?Y9(kU*>%jL2wF3$4d+g8v;U8Nq5Arxx=H{oT
zr&ST(17K0v{=2yYki94qy*F7ze~?`dLijsfG*qH1U$xgj=#80b?4m#9fkGKZ9a-oX
z+*vT;&1`Hq=j5ku3>X!p-WZ?*;~!_qyC^U-GqZDcuAOWQgoPIZQ0P4$AH&pt2JqiT
zE|vFoU?D&o<j_KMcoK&}*Z+J51ME_U6#4hU0x#l<qQQVWOHUk(K}2CBaY!Mso2(!f
ze!HLf`N87Zb8~YqdC7x}(FmC<;;1b_Fl%Jmd=7->$)C}oJG-zDRj674>k##}kjh}<
zzsb>ntdSQd4xjhbpX)~${by<{(3n>*qlh+(fq8@?!z^`Xb#-+mo4#izj6r)CO#oNs
zZKN0l_6HjqCf{@SxAa^`0oH1FJgW+NCkjTSK}e0q1h9-h2{24s%wM8*h>N5C)I-)5
zysYsA>k$4iw!FOD(}Vc^2(v;wz2TTh5_8Nq7;c_fR4()OGrjF|B`d)v)5X0gH-`u-
zj92{;$ASD3g6!i{`wc%8Dj96|Ir_C`z5Oe0)=8lA_W4VOF)s%A?pmY@5^1T-><ARs
zrk_Y)I-<<m@0_-JStCE|>Z;Y~>qkC%WWq$@0ZT#`yku9!d6A?}kN0kAoE5Q?YXkP3
z?vif`x`>kBk%e)4ubNNh`5xRmT`%9_2T~L;5z>H`nl$AL{+~P(D=Sf?$l=|r&f-G^
zrtLRyz;P_i<bX{<79&ZG^UIE0(^oI`1eTClTaf5=HMo`7s<1bi?{qlRnC}UKHOKpD
z-y;j*c4d*SH!+etyu5sTd|%VB!odYc?aF8dNIR{RFeMk*C}<nf#ACkCVCO5k;g)8S
zsGnam6QEr=V!`~>&hkT)rXCAoz};yT2bg$yS(|J07o>YT2|Q9KKHd*OI1b3RS`QVj
zv3$+f&jt<cC%g#kaczfhH7f($PHTWaAFU_<%Jeke_p%OOV_nx(K2GMbpkczDR#BLy
z&<Ny3&M`GG2MTx(Yp0cq%`gle&BPQ(m;M7eEc$Fn`*6@O@=j|#SU<QSOlqR3W#&2I
zt0CW4uU_eq52>}QQ|3kWH<X7aC0x`YAcjp~S1aOWy_Hv26el4H8o&;tX*_O0D(xBW
zJV1`ZvO&E_!9xkez`z)DtN~eu)6x)|_3PR2?WFnV%dn&|lDLJqU}(-%Y-ZK>@s6Mm
z6u<e7tl&0f;Hv%c)rzW=3`_)><Qq~A)fR|OQG+zLFawCi`tuZygI2?d<6}Qm6q&<Q
z<DdZ4QmF<UMu;n10rA_IH8x(9p(~cF<4~Xcyt^D9o&rt&b?#Yhk;B8omX;QPHLb0!
z>G4o8axuH`O=Q!XoW&j;H}O6jap*+e+tcq}Qt-WS`?sl}VY1K}7Mw6oK}JX$zqhlq
z^XHFv?k5CTArFrxNs4b4Cxnyj=aUgHBzz{>47QALn>m)rW#<SKrZpE@VZA|$vA4Im
z8ylkbUS892^m|9aYQp=rE#;{fL6#n?03VEQk<O1T(E%wOE@|CRkYR_PeSAHyrr|(K
z=gi-PRo*Q0??--lFp%1X<6iQJoS8ts!u0?Gos6N<Z_ghSyR$#JLPg0ik^h;YtG+KY
z<mK(pVWpLEk!!e`Fv1ZtP@#WGKJdNqHjBDQUigGFEbH>v=qnLPz3qwpRBU`(R&r68
zgjU)i-OPKRD;*MaJDn}7=ei-fWCXHv8iCibcXz7d3`%_J9!4a}sx?kd)}a~=+dFzY
zt%$~4Mh@W)aGtRGf4U0NOIoTRU!${xVblzyrgA$&E~3}=^R}!f^R5)wW@l1F{e}b4
zu@bol-;7XAhQAW?F3nILwsOzyx;1dFEZnO9W}?DpjJ(}FxE!^aTU*~7UzzdPxSX7_
z;E<y5cWlIkAhGe3Hl5vrO@)HVfz#i0D*~oQMhFlAG4arlq*w>ZJ;B8VhQhd9#$%x#
zo0lgXqYlsQ`bArjcG|G9$i&-_pH1A!muIc6XDuX*RHdnHe;0BxT=<*DJLkm4R(!6f
zzXog-Bfb4Z$Ab>}W|@Ax7``ZzrH%jmN%?wCXQj3_3l8e?|2C-38F!mcoIGUYkX_M6
zo-d95_k!Dteaj}L?&S|xgQTImp#`zJ$77~Pmy5b;scm|`c>BHXDW=BCCHKG<Gne1#
zS~n%4v_B@&8ATcuJtczrPPyD7FCt^!#9(z`K~SY=sxy@gw@kt-3%gDIZULeNqT~3*
zL8f6Jg9##~un%n=Ll}YR;oa*;N7h?WAHzwujF+@tw@FhFn_8IV|1P-qx*t^O&b0qG
zkZW;4PuV81+U5L9wlyOqsxSIWGg$&To&KMnV<Cl*2a!%&?qZ?ksJ=ME_xvjpDFch~
zdnB<-lIGJMXOyYac=lav*>vo5w+&jzSJCrv?(4$#h|VwLCRixxf*!Hc_~A=#7#ou4
zuY$lz6FHI;UYq{!SHnLa`IZ6J9#pj&vwemnk?(ev=y`G-jEcvg=!ptJs^QolMaMQL
z4^klC+uT&uY5pe13u09X4yfI)|EC_a{`TF8APN%V`X9!to5bo-(GfSjYjd8jL9gm+
zvjj+*G_BSNEE7bA4jPVq&bLn8P;pkiV9M-tjqNwgz(8VA;n*q^qN5?s&W?ys#eo`{
zMNd|8c${21F>^y+Vb9mYTBj+MfyeJM(~kRB-6w>MmE6{BP-a!@X-^B$;2#F^A_@Z{
z0NLLh3(Ao^k1=f@?`L5<RQdNCq0E|527MTUu#*G&4DI$+s7vr6X0y|roA2)UoQYqV
zN~j)fyd&b{r%u_w|NC5L#sIB;P?k|K9{DyaMmX{lO?uwTh&4GSg^D(juICN&n=Rz5
z#cmkLRX%QeckA|VM@yn}b8?D<f%YWZtlhBH%5mHM%mFv5Nd9o#M~ZVNIZEkN%aBh(
zP;@^g6Fw(*7;RpOBDEm|ed(j|dF?Q;g>&oXy14b;b35?x<>gV&P<r^QnZ*k}$J4H?
z<Z9!<fRDMqi-K-wU|xhUy?}=x!;qoQIg!W#T<frVzrL6^*`cLrrGZ9)xaYWbXX{6a
z%NZ|OV`X#wW9D18oVLIR&*-ozK81?XvWUiz0`_Wl#L_P_(QLHD?bGf0Na=G_?uoo$
zJrZ`#8h3XO>Jdwu4L<r!CDmzq_1XgJHZFZ*E)If{hQr&OtQ);I+j9*26#m$SqUQBq
zUOta?)*;g1MM?ga=9G4LpmMjGULDTs+?<z3#%zmn;Ueqou47Z4Sf^v<)Ll(f_n2@a
zC2w0mh5%$_qOaoO;$*ngjE94RQaTeoJ2xxew`t*0wUm|${AXjOR>j7a6Z;z&zu6Tt
z7YBGRuZMK)EvK6DuJXs-8yh`8p)j0xbzU=!pMUM|wtkPr<*~#5sV$;ESn)QtpYv$R
z*4dGfn$Fh2okyXv=m)K<Ci8`hvA3~}kIm3xlC1Z3Rl^|IyMEq&N#|dHpoAWT&`Z%>
zxLu4`=T50*(nv5DPfjnWhv@7b?dkjIepXj2qK(nsJT~z($$F<;-7N4n@p|C(GSb&;
z5MXj?vpkn_SaA83<C_=s=T|eCD5VBroooFB{j;<1TDzOg8G4W4F|(KrI7+NIB&#ed
zLGi(magGNE{_*i;Zxu<?=ttKtr%<*PW(RmXlIoR<E{`a@g!I2ON%_~hKhenuSmt|5
zBP<(nTWSi=fdY^R{1GG;nA_a^M=VuY1BFx1g(Ct}UZhCpVVbmH8mz7F2vf#}R%?e;
zR#Y0jV}I9O8p;l^5O(a5o62C=lr2oCQI**oih&7?F!Fu^<`nZ6f<*N*GLzx(cg~DM
zxMvpsmwY-(s=GCRL4gg39@3bEFyg?`5~D8zATIL^&3f5|p3zHSYO=z0#OV06dGBmK
zyPxpGvo_B$%=L77pu3+C+WcF|&R`pQhSrl5n6gsOgve-@K1h;?49~~6l(ydCSF?}(
zcYsJ#?qd<HX4))vq0%<>OXiVkv(x&U%JA%PQA&jpCPIe8rNi9#+-a5R%a2DbE$3DQ
zUq?j81V#W}^j2%HG*(L#DD(6#&cpnG=U-UoH8sMn+U4eL)|+xek?wx2**6(7TYr@?
z@_L5qRR{)JU07yvFC4}1eIkzi7nvyGXYZ*T=SN?*?WQ7&at0~ZmR6%jw_nsOIMr%H
zf+|9I6A9b`p8RzQ3tbk!xt}J;FCiPLt~!r&PL{{L{9qz6^Yf+N45Q8rUE&}A4|QHr
z+z2lA)+K7^sgl%|7FJomP4Dkp1{2Cvzn(?(8FI3fPphalH}2mbM|nN`F1Ar9RDuL8
zq$d2cng+}wiAcEI2HqVUUtV}4Lav|Ax!&v7cA#?R^)t~8_YHdSJG-?>PWD-3E1I?3
zdl4lt#%Awa@2e6gUud;>s!C8nzGy<9Y*uK?OXqHX7iT<N-n!Jbie`U;fxcQ<xo|y?
zn@HW{WF*@$dyho0J*W1b+9z5$8n=y0n~T(P*Yt;inb)t@DOA-#1-IW{DUf)B)0bbH
zAen$!V{%ty%FPRI782U-w-<euT_4QG{upaJJY;)ry#oM3n2I0$M>UHxIRwR!|AP4u
zl@ir4$m#r2IdwZ#qv6uwY-R4!c%)PlNn(1^?2T@YnyO-_i07RbqmJZKtwDGPstGZ0
zv3xCeh=>7^kt3X}pYR#Aj{t~RR70BVc00nqkU`DpX7E6U3d+m#9+-sdg7Ys?Mz`N-
z!p8Jl8|EB&TL{?Y`WCEjuhHOyr@kU)GBGNP2)nR#F150Tg`z)D6r#;x;|HrVL78&Y
zsch^ALe~aRdu$%!{A1j?oy*E5#>V>;Vt#9WvdX^DtvF{YtKHOGYs<QzX+#K07EO3l
z#U4JbJB<qM;Gd5sz0b}mf`{a1H1k6eH@Eh3xkuQb)w`NAq(}GYK6}9+)*`Oa*nC7I
z?KT9cuf^%I{P^e>MkEk<M-017M=BEraj3VkA3rbdcT`F(;o9nA!FH4RYV%^c+P2fW
zb)?H*ohC3&cIoQ$z5jknv6(QK+Sr``{ii|<VuF~$Klk}ue4XVbd7W2WGyzwzLh0*&
zx{h`aopf30_RN=MT~Dn0JGp<zi51#doSgktO5HWJ$#5h$(CZp9em&YdtYxR^uz=s=
z#(~Ee$#}=lKNzVzC4Zi{{qRX%h1p;L?I1hvf^uuR2ySBS<3+ri-q}3QLbGNIPA_|%
z7YyVQb_^nPt<mhMyK7lw89YAnDbC@>dpJm*d+*>EA`~J@rjf_sEbp*zd0YO->#;lp
z(8{OKpJjR8zj7croPqkJpSQ43^LsCpqiwFLG}NP&+M4R#FQ>&lZrZKpa4CoL)AMmY
zOdivzfnntq*0<?bN8w0f4KK|SEiDiD@7IyOgu`CHXgx}w6AK)PjGPlgkk;Tmeassj
zd#EG-=;1PxXd>&~dizSXR?$F1Lq*{s>t!{L4v<`+UHaFMx|B<;5v^LdTgL6Ow6AIU
z<l18Uwb}U_3p#E0S2a;-uhKMJ85*8DYzL33dTKc=a9-*iwaMNO&W$I}bT|FoLJ&rU
zefcH9E`8;CM}{y>Jb$80r{DJSF1zO`K1wfU9gU=ytk@vQBy-`F;H!N~-S%*?8BTB7
z$$swaeb=u#;DN9QMVv{)llQo_+TSMNE*1SK-HNXnr6n01YOABLzlfCMzxm@Ib$%cc
zWS1VQ+r>4y>oQTgqat%C^NjA{XBFwTkgSsEWXhxaSv9A?gb6L4FBm7Z%{3Z$`8r?}
znb&Lm;4aVs&i_1&*}TIpU8d!*IE-xpH-@~(E<J_NobC2Ded+33`ZOvFUM*TmQBdRX
zpb7@J_QdbW#Q5ved6TujrO6<OmRc8Sw;A3?Z=9E&d%4`ymds}5KLweu4B0@JMt5V{
z)Y`n|f4yV!>w?p#E#{JR7G@woKx0MBUa&(Ihf?t5wO;6u<t=tch?NeUZikhQqRuhu
z(`i-67T`nvJGT-s2;&>=8G(hepHITR#40Gsg^jOK%B%{|x3|(!A`ij&;7N%UL-t*6
zLeS%b$MmDoSJ&^AHvS00KdXe(navcjm8Snj6j=VwqxjGUPix^E;X3*v;{(oV01qAA
zZX$)%N5Ydr&I>D2l!1r)+plTC3br(BzxPN~CXyRRqklS8Z^fUArjcEUazwuL-}!Kp
zvMYtbsK>?PDC=h|mCa(xfWTm_xMVv-AS!1~QqSkr>*!(Qk*1hA_dDrmC~Oj?T(Uf7
zG>9PVF8f-MQ^pCyewrHrC2gH}N7FH@Phg&;%`+LDa^_-6aQFK6Sb#hcJ`vwUs3&>V
zre$b>NPtus>5ZaO>3~H-qJNuz`mVGlf916|TU%t*(<c*23w^fw^|Di(Wbvc#GyINV
zv<tO8z6;p~s16YAy#AY<Z&P43Q&@&ZC2n9%&e*`pG}PmD?R59&cKAi&MzuRVKg+}V
zpK$w^i#rQfAv~gQO{DUy)5E09S#)|d=j;$@El|L_*DIS6tyrN_<_aF!_WZ*!D7p1H
zh~r3w^54(QWG9!YH9v)WlCwUh+_B6Ovp&C!AKX-R)(pL7MJ$K!S2`_vQOvqL(oQE7
zV%=wS8lJ+`LludstmDzAbb52PA6rMc5l<@0xykA_fAn*TN(KCv{4tUjJF$@*w;cWr
zPi!MO`;jDZa#)I234bMzmCL+Z@jD`ik!mGsK2sA8qWHU4_f3`6x*UQ=47k8H$P)Vn
zet790Xqtu_QCry4MJn|Rd_TrI`tb<)e`d69C2*mTeXKML!BEmF#y;zIJ?DPDc5}2}
zy^>n`sKzRaMCd@I5w3Bv=kQwiLZHfj!~dK_Drg5PkL#8BBkn^iBf1{Yx+jCFc<k0=
zVd=xQ3RP6D&Yaj0A1NbXKt!mX!5+$faP2*?D{I=yWGf*<^BLgO)mLWTD-@5Y9Y&Yj
z4}EikYq1!G7~(*we|}k%MF0gU)4}=Q+LqI5{H~2i`xE`4sT`&Y5#qYybsat}YE%*1
zQ6?Rru#wUB@#Y&Jn6IA=pbSVzXL|dO7SjlbHe~*VSoK?HPFf=Tl)f2q2aG?M?zkbW
z*Ai#sI#Cqv(bm%J!O}Bc=;Rzdlf#N@D7yZBGmTbO?J7{GQ&td+Mx9j>mU@O8zkzdF
z!J65S6@??bd~)RkF{{GmTlacZTrS9x;ICF)DLOEUc0FM@-(zq!LG`{UIvPi`+z#?8
zW{;#pAI{PY)Y(#`%lFzgDO%oE2aLB(D}ZVDTB=Qm7zQ_jC+g#De;O<d2CEXkw8O>x
zVWCSZu9Psw&WuT3c1-4oj@A{j-*n}4=keHDchJY$sWZ=<q`5E?4JK|E?C8?#147l!
z)Ln0<ldiLl*b?jz^;b=@UaGi)(Vei@=>+10oe9PETYFN%zG!Is-=_;<bje8FmuflG
zE})8M4dn$QhF4&kRUU;!mH{AiTZq6Vg8e^@^x(slEKFmgzJ@q(FWIMOTR($Qo-9Lq
z+E(q;p?^q*Ii1Dn10w3!RMOOpPzHWmnkjf>t)l2Q_i-l~_&P1j>vo*!eSMtO)zwdt
zZ8qY9BJhD0zW$H8dr&tp!1|DUPkz;_*mLmyZ!G{=BG9y&p+lePQStkkMwYsmH7+Gf
zp_ca5<eL`*aP0#PVhT!5S@q)%7Ch7|#M(4AnHIWzw#R~(zBzLGe?9O0P9bI`6^}TZ
z$N~{1d*dD3^6_|O3>>uhSGZxf<a?M~B(HcDEgX&FQ$+Bx>5U#A?t|KB!!q51&j@7E
zh)jqSf_J8S>vo(S9|Io-w$*smi1-Z#qWf|}?Ov2OI|quAohw~dP*qlLTw<&^5N}JG
z{EnC7aJQC$H!{i<HoMW-MdL77%(5HU9wT@chTE;i4G%^4Q9L3%v>o1{_rbIUJ&&J4
zG&0&^y^eD5`Io$HU_Jl~0Y7sy*r;QQMyRABC6B{!QwC503tzH*^4)-is->0{RhNuB
ze=knlt2Rf^-#rvkpH!GGt%j`VA8hPw49Yc<h@9cY<b7ce1VFz2%96&iu=#U8-CCum
zx?Gun-7{x1I_v$SgYQ4>vBR=dwVSX#xSTUB+P%JeEOgdZ=?qdUg(We0|C=B`R$pds
zo54w=UY|KpZ>9f^ZdJb@8ImLS$@xdgsd=tW+{#2r7In11FfAzzb|^fwW3fB<NW0=u
z>(Zb6?a!TY8-lkIo%y(n7*@HcT6H?@eCo=3@7=41>4z#*BR)BI&AfVBZ0=7#aKy$I
zM;&P1eY7$zm8eH@wpSHX-B{}BS?m$&$lU!m{x#%b;2U+$Ad|MXr*37ATviD^MEbbz
znZeCplU&oIJUueScuO)DV<U>8fG0K{Ohv-6WObUlrf#1HPg`7ckQ*RH7gbIyJ2#C~
zdKtBt|5<TCYGKY#ZsnU*w^fw4_oVjx5zeY;O`dtI@>1OS_uVbtQO?71v+73<4gadr
zz*1#1Wi+aww{&!m8_qOwhnvm`sdPU+E8c3{(v>N>%3c!Vpz*g}adGh{4P-9!+j`tY
z?!xiGEmyaMD&j%yA2$Dfbj6_y`&x}oAg&HU+wUZ3zfIq1lNaF6HqIiJqJLaYcz?On
zKu){=`pEm1qz=rxU$xh4?50O0bwj}*#?UQ*^ZWvX2Z?*bcH&%QAte{@n0r~~G9}I<
zW6x%W92@?2!6!x_P!<NN@KjIRN?U);lJ>zw&JYgDA=|w&>4`PlJn%7;I1F8nKW!#!
zfuIAy+8nv{*GCvo!AODlR)K+UwraVmkB7ilp$Xe1tU}4szdAdQSHBFDBJ~BjTJu^X
zdtc4wU+`Zr#%e*3^O5sAqR%=G8DFcvrZv5SNNtUDk4zf;zjO%v7KVY^M>-?7I!|>r
zpF@IM)E;Ch9mca2R-W0O8YDlnkUwTcLy+u?w8r8lukC9d8C$}wC3eaiy71D4qrxKv
z<%FKhm_CYZx_zQ8i*4(fh1tPVBR&~a1VBE8ZgNZw>!relN`DzBq6HUBXO>6=NO(E7
z#J9vt(<^FrGYpkps91GHA|F;4RaZsAM1u9YM!6Ek)j0pGwX4;;uA)~{*QP0ND<!#I
zU>HJg;y(CrKsA%`lg~1x*}IB31`aAoQo(q@n2wxQo+$!8p!X#5=X*lZPjkz8+N^=}
zyNR<Na|RNVw5U)fYXQBEiiJY)?K_tsHh)pF>yb;V`iZ|1EWrv1qGVvVZ6roAaVuuY
zCm2gP07%TYj!=e1e0ca4cB$7(0f*tCQjIab4zG@uM2Rm}I2(dQwX%SPGQMGiAn#Wz
zMpaS(n1p45rw~rZtmc#@3)UG0lYF?L2!W6J_rcxV{e7NCG|gt&03#&Go3C}~B+<3p
z+gjaRUDr@oS}!A_^1<+1OP!a6-F~L7{J0m3(MDXVoI@Aix~w%7DBp?u$9}1NuhLz<
zJ+o4V1od@QJ=A(*CmR~syxol_#TFgHcM;f42+P5x!To~hS0FVx^E=<m`fK>Z!0AV~
zCAr3>&L!pew=o~6!%i)(^D+;vayKfSvJO+7{|Xp2(KZs=6BSJq!zihUse8X_<7t`q
z`O$`Gg!N2+-*{o>Hx<@Lz@xP=@afPd4x}7$z?7;+?qrvYz9+Fv+p!&RR&|Ok++-=B
z50$QRt~jzeJa%35o07dc_e|8qR|qcnyYTC8;;-A!w-oo-f;m+x(sbNpV92;*+XoR9
z7>Hwp<Bq2_M@KmCTP0$pL;w;8RHCj9`D#-35>9I=Yb8~^GJ3U@I9ND6IdUp%b@q|E
zprdfG$isE-M>Li6e4OD`aa2Ncr<+wOheLm<T}NE}KdEmVZ{K|Cnw@(IBdz{FZ;Ite
zuCs;a`IIvo4Zp4H5&O;5@5*UVVKYX56dy=qk;*k{pZwm<;&kstv5X#Hasr6cpY^+R
zM;c+^5G+FHXe>_rzMT9D(Q9-PnSAqcA+7e|&fUO7lqsTmz0Wbh-r~6?RS|j*`a~%a
zfD0T1oFK5Pd1mTrGS@uC)0Z$Y5v#4Uv#q=IThp%zsMXl=F!MAx0R|XO5`K#O2Z9|p
z1}I>5I1L!f>ESmbm+w<NqWn0nL6r|CN}$t!F9;$b$?)}sAm6sOHlb5f;tJju83Z;c
zc1TWwv~hVyl2fTZ(sM^gN8i3-GaJVN0K2_DV)bD`KX1T1)~BGP@+=E=K0+5mA)#A8
zFgO?vYHn#MRBB1M+lh)iqQgO9V`E#Gpa1>)H>hb#O-lo{23lHLhK4!8!M$O)befu)
zN^M3*`UVBBpoD%yBO{~j(F`9@17>T>3_-U7h>3#;P+VMGKyYxmW`q4mDz`YkH&=kL
zo{*3bh?=JHGRxmBwf(;op>aY(Yqs7G*V|y7BqSufyu3z6M1+K3=!XxXZEcUJOwGCj
z0|SOtye>yds;Vn39(7Gk3xk8<!av@<dk2q*2u|*qbXpgul)YTy=Fl&TewA;S91Sa#
zzDtaYyZbjGM;K>iX$e?NkF`MjKcg8o0|S4ywv<&=^ao_q-zN+Ih)YO7goh6Z2oMz&
z4G0P<y3cx=g;mp`ASY+@=6oL<T5t4xt*))TxV$uBCYY5#F#;2=Z)_yetLs}>Sp1EE
zWBz;ziqKTcG_Q|+9{1PRv9Yk$4i9C1prQNz+BgXd4+q1tv$J)4?wv|>zczg3Kl7v)
zv_!M)H9L@Di0vOq=SxXX2ZbL5*x343r8GlfYV>8Lr7d<FJ%5H%USMNOZ@cxx@wuJm
zR98F5%VS=|zOu)N>ZPNmHnp@wLr3>I8|JJ`WN(W+UOm?BVyHiP`)JxKQ7<u9ZZsH4
z-x+s*)O4(GU?8D{Cln1t84(eYl$2Dr>^_(i*W!FQzn$R&%;fdUm)u!Zph#-3-fjbe
zz%B$HXw4-sa^ux-<)|An@Ty&&CxVxdiVdi5csQsY70*2wN@lw}Trer&todA3RVACj
z&ww48CznyCqV6XsudJ-BrUo9V%3)hJu&S1^)@ja3zjc=QHZ|CnJ(xf?B9mR{oyKQb
z*^wV2!Nx;LEOzUnpl)j|9Qn&Tc6L73zwO=KTN_aV9L-hpjpgeyanaGM+uQlWs_?KK
zg^KwV8J031zv51qgMAANQVTQ`#PWx&q8k62Lx)-t&%YgwPWy2d!}IbwIzAT%b7{OT
ztyk;eU7L0|x;A8oQg86W%e7nfc6UQ*EQYI&3J)tI=2o*X#=D2{dl_B^kBB^f#e?(e
z72jtgxA)qgKK<_bN+csR2lj$L(sRboKTVYeJ{3*^aTVR_)#d2?c5LfsHTDnZ5v_Z^
zNU0!sw6N%MIA3EtO!z8JMoLPf!9JH}GR48(p8smqpWR{_*liJqpAuGhH!v?y2Gbiw
zk{`bF1yKk{{0}c|K?Fd(f35r~w77OlKWNlhr?HvHI{w@7u1r#X*}7a3e+w#7kLGKn
zZcWr)9#Gvb{@O-lM29a&y+FQX?p5a=09h#jgosFpj}C_dFmGVkjEBa!3xECk_3hg?
zQ1(c$ulMJ~_2lG)r#ZCZ_yO#algblkGv|by5+yP|_q77Wiix}Hvl_SZ!rY3Aiu(Gi
z-?>uaO3q7-PSqx(uMbm@AyT~XC=!9!e01|?c_w{%nEB6S@y0GdSO_EAnd#S&O8Rzn
z<(d{>T3#+EC-->0o$+-F862dia9E+Bp-rw`hEA1H%6&g@?YFx)nnUC0)Q{tHInzvO
zmLUNGU)~x_^tn6fT?^8+H8H##9vI-UU2P|_Y5w6*2tm8MyUw-F!Th{A4k(m?^3<Nd
zdl(oP)Epp=`3jO=Z6)fU(KLJkr9VJbPeLLw0u>_tzMg-_gtF@pZG|XfK{2NF!`(HH
zl0*=wIpx3Jj7?1??xY)Bvt9POTzbXpY<i?Pg_bzjlH$R+tN*Q=x=F7yh}+@MYL+D^
z3!bYsK`*C|>Xnj|oNaU}{==_4Y}>FHH%K#ASIr<kr`6;Ps(yARFn?i&cT>rx0;^*R
zBBJR{#9DM2P3L1^U>N1UEqPE~w{K7dCg^sS*C54+gM!cS`QPKi%HzZ~j67oOV*7Ik
zbMrk=&S|HBXMs*ZMU~Q2#hOgd!*j#rbB(G!K!$98Fv|i*ml7ZEwAmM9wNSgOSoo{`
zGn}~P_FAAcWq4H7O1&L<<iKk#+tpuzsI!tqdhNMy0zh$G>-C?MxHz0nRnor*#f-gO
zT{|n7zXUNiLDeg$T7Hg-+WA%p-PC?%a&ppQrmR%061F^iYGwxbQ_siyOV_uiuC_iA
zEM59``ubTNX!LY+`<wl-^=eF@hW6^=_Sj~n^{eU^aXlbl;Iq3_)!~JfJ&s#|i4%#d
zV+1=~{nhh~zXw_xYB4|GD=r`T&W@^+-%+HpJ(8x_gaWykTUfXp%vO3_S~p|A`^y_l
z3byaY&Q5`kPY^3&@w?~yt#9AH^?AHq(Q)5>>shX<rq-ulx$M5r;2FzKP~LJe4=S=x
zicDxaH%`j5TfV2JMtBSq;m<d_u|-C)fXH;XyL<g)@-ox9m?s1Vp!gbi<|)XaU9B!B
zUF2EO<jf2wCud4|m5%3$n2t`y!_v1Rf)aBw9F&cX4Lj9o-DBb}k}@(aUbnRvY((Pl
zLeW5>^i)*A@<vnTO}Hq5$IWLWwN?wZZOaia*|>-?f;&6-jNqbUV>=C5Lo2i)-{N8m
zQ&Z}3xi8X`8ZGYUz_9&120A)AK((TAktK-lIyxj+)2I)1?T-g@)uI$-g1~0gs}V2p
z-$Cu8qjI$I={!y-D~9MIR#sNl){I~*q+6*5w8iIn#f%k7S8X<t2aJ5ZtfaVjKb6~I
zNNMij;i0QblnfjI3;vMTcH4@N;=c(A>B22=S%E{suw1NHD4nH7!6`LrNX@xwQ<Fa2
z&(@=&ekjK)!OqvI{n`nfGzg#NS0*-0TJ(9D)E};iy9JC`SuZk_K8h=RlNRsc|MkEW
z{|y1Q_>GHMPsGa%uM1E)4HsZ{^KUmG0G=Vf+rGG^s<N^YIA@q2*Hj^3f&6DfY+*ha
zX!5r=rj0aoiLsz$Pd+ZkGaJN%n1lrJoiuKbiv!yi{K1MUl;oHH)L<CmzD7nqfQUAv
zF!!|X<!1F0xy5)Ov*ErzfR4Iw-%wFeF*DoN!(fU1aZ=>q;<^IG{Q-Y6NVQ$p0>2V*
z(msGd_lf4EP+wBs(=TzAT2LllTboc%CVz3fBCsj%<Ma4rUT$Z93e)d5pA|RGD^Tay
zHOQ)~FU!bCOGuog^PMFy6qlDdb9s9f#ZIio(`^{Cel(#XXPcmU_fv`;3zYJZBKvoc
z7GQnA%$H5Gx3g1t{Y>)XcX|0$S<1nQ-#rNM$kaIR-WoM)$_|Wz<6zu0?iZ7jT?a?C
zt&V2GYHHhcD?x~er;49?!n-FuF5k~up2Uz(n7+I23}zG(;tP9se|I-9IG8V!A})#*
zAiNe#;!QwARD2UtRi&jBp_orO`hDtRD-laNFQ+Y|EVl}RczK)l_RPPW%3*SIa|{2F
zce@$d=#^dZCK@mfw^_N!8{fphz&?yWzdXJj_4#G?j)J_Ci7ZPbCa<aK7Pz5!zSj~J
zW*Pg_rHc2G{#8n}?pL<(;p|tdej3X0{%X=vGOswTK2xb{rM;)74(VJI6^+n;;gsFE
zW=l&)M<tz<$;B$FZen659#k$bNyp?uNDO=$(oUwOt?l1HRQv=+t&gHu%toA+vza$B
zqQd=sf3xMsnq2s9Z+Cg<_IG#Pu1}4=cqhXvXlSG)Cg#6qQ}?f8eVIJy#N$9|x>&#L
zb8m68*uX#~Cu`@7x4r3lemTL$>e&-@e7{G>J`hPF@DR?_>Ix#oGul8x_9t(##S_T-
ziRLZcVEAZVSjbKicl9f1b&qFte*qOjM%l~zG+t4GVRP)=KrEdyJw9p3xu^_4+=|CB
zUuu{xDVUKz$Ap!u-s8^ITU1m+QgVB$_(5G=TRP8hAg=7$i>tPK4(pAcqFRoil$4N<
z@e{j}mX=<2m8cMfgoK?|T1)jA6i*u!X0BeHC(bP+ARw?#_yGxn_^FP6J}NH$YshL$
zKXn@8bM!;_Y$agEvj>D9)RfS-$YZHon(EO4f?Z0~6g>V&j}^q_PGI>wYBMpd(Ur&1
z<nQk7eU_IO982T&y7?FRig(gGM@U^&70drk8h;x8>k$j9nrEo{q%ndv<?-{5np#>u
zH@j44<`kf>M6RJ4rGR>2+W73M(g0ZD7lh&M5ro}5`tWYxmC1KT0GKx#&k{2i_|`8O
z7|0kOk5O$>w^wMXtQ_w~<FVTA7f+{3OER7b;-tKi5?g#&V^erZiJ?8W+0h~%5fM#r
zr?V~Q!YnD+M>PYW`32PRpSg-!Z8A?j6`BZ=5?Ci^mX<nR9tG>OT>p_FVZGiBDE0Hp
z$0{o=!GxgDfB&9ClIAZuLPA43ercy5fJnf?!cx>*8Ho!2Mv>aSAvNIKxX;iK{tYh|
z+QsF>wP*3kh6k_&Dw%b1<iGz8QkaD*JT6605R6#gnwR6^;3%o6<Xw>8OR+4{^BWn#
zKor<05N2rl2p2*8le2=~%0TAf;dw_-D1?a}_$5*WWTT($4D|Jn78^uFX&7}{OH!&F
zc|MZq4GcV896cD^@=;n^T1W`yD47cRhy2d^I_shuO&)#NH_QN7sNJ31NyYikQ1Z){
zFGb_lLFDX|ksu(>Ia(e*Io)e>Wr23`4?w)0`2E{<^u17@VHI%PYtkP}L6KT}dwN{l
z2~)Ft`Zw0)4k5Bc09z<tP$H*$l$rm6=O+-K%aux`q@=`FivDq=p`ro`Ox`WdZEZzH
zy{?=)=<tPF>s)+nnC{m^@P9;q{yb1tU~6e(^0Q`6Nwu1mHubZHm4?PkLc$L(sAQYH
z?|H1ZNR#$w%H>iED5<5b7{Ujgii!=&w6*G7?PBF6w{251-rI#ll_Nq!=}Y3d1Nii&
zM@O}J@|)rKoF}fe#E}lb*rQA)7A;lPcMHB7OG@@#pKaSQ30ql}2C0h;0K&AnIRFgP
zNEyzS$W}?nyn7*PZcbaf-H$oHU^Ot9R#n}i<6dZ~Gynnw5z%2-*rcnTuI_3wn~5!x
zu!KZ#kPtEYz^QA*w2HV4dU5k&W#xET%Tiu$cUiOMu+6tIFrTq;-n_THkrChffH!Zn
z#Kg+#tlirF{Wi!fuJZQwrjkqVYC#57zjJeL^>QBWJ9Bf|O0;3<aJ$(h85tyYul;#J
zAJ9a;oGM?L`rOWradHF>Ch5*@<;B_l`9GXUl2ImVTaUl(xlIe^Tt@2jD$dRvLI^J#
z*LUtOS29=(dJ2R$(a_{~9k~NpJ%`N+T5pe<KqHye&lOe_I+c>y28Zov|L3pk9i7yf
zw89?C4n!A|M+F`iCng+}!qwjbOZ1hM5ceoG=#5O4Qg)vzQhrL%qWwS7T<@26F1r^K
zTn?u3d0Z?uI9xFrNPheXHYw2*JxW^qTe3&^O0U}skZYis-D2lk+S{Mb==glKQTqm9
zT~H8WC$*I5!!zO14_Nt@Aib$H=nbi76Io~#{$cxbe3t+%83SMn0#57H1~kkftE+@W
zUVgWAU(&1N1W>pbamy?%Cf04bAvv}if)T|6=?=uv%r5ujMa}Ezx-}?j5Q&h=3&`d@
z=jZ2_k&(H|a|63&Tvm5dU7ZXBAOKp5mPP_-7skg~PTjKCE)Ew!*>(0!*vJ4P0s<Ci
zdnl8+Oc<Au$w;cYf`Xq%mEe?DadB~IeZ*(bw=%r`p{%%AQDbi9XQBD_$fqUq*W_Pr
zW2N&aPGscaj1~M5p*};_nu%%=;YR-3gR+);(j!$zC#NYZ2`h90dn8v7-a!?jzm_Zs
zG4bSq;m6b}(79FL_8#2APG^Ic*pefqo>9e9!6PG7F`+{j^PQMk!R^fzfprQY*|I47
zk7-#+intuJo0y}k+gtJwMqD*?f-07eT`3{R-@kv)`Bb=PC#_D_WmG-)oP@uNbGWva
z!}G-?WM@O>iG>mfS__MMpZMjm*^o2R$;rZm3KF`b0(P49xSG1U-g~Qv6ROL@ot+BM
zE3(dN{$^c96n<)I3M?_GnasbVufM;8bNE9n<yuOnv8~SwESRvYpeR-*Oys{Z(WBcN
zDVd09*WP1Di%pT@0mH^p6nm;HI}vY8lA0PD`Q88Z=_XFRgiFDJ+UMtQj+UB4bMB}v
zYbq-{?qR=c)ES>J^YUQus>+)n7fG85QecCdH2l*r^%W&s<8QS-s@no>b7^U5xVX6H
zsH|KeKBMUknb*njA9E4+-%g_sgDnkubo{Cf$s(?Xu=QXdUjcLz&=keN$+;2#Z*^5y
zT|GHIUfId%96&N<Ia5<pwJO7B+KJ>C0JAYBhO3f46B}P#)b#MU&C1F;-=8Ti^#PhI
z)oFX3I7ri8$-<KbkW8m#bfLgi<1t9@KwHDv>FE=&TN~+cdH$Ap2+AMH$<6&i-Kg6E
z`>j#CxuZkq#U%k6=xrhV8f5TAjY&&JW*B(gsj_}>argZQNX6Haz8izAGd(yMDKe29
z86O{?SOx`Z-?A?)DM3L+O=Q$6nl=Je(~^?Nk*Z3}j*F@yOn53nW3A>oAc8F|@fi)o
zrEuC5@pWis6-RIdn<@>bfv!=|B04rEPZ^t>kx_m@{5mT5Hn!xAIO)-VeS;==-dC(<
zx_9^Y?4yk&@m1KNITaPQzXG1Ue{EC08-R|EZk~w0?;pfiJPs)9Bu<-U(9<`wrXPrb
zh9)W|_LU<zDEMQp`RggdDLx^EcWi79^FPfL^Q6ZybD>K@6A=;rAbJ?hcm()K)MvtH
z@`I+l8P?0q+}4X+c;QaR%X~Fdm@_MEj<n_T^LW#m0AKx(r)Fno2kwQI!%u}Q1}${S
zz{CXq<;&3fS2#GEySvHh>HLe<*`V7oD7CDR4fGa*LUeNh(Afp@`^%FP8U_Zh>#aoG
z-s6=vfgEcrT--qA9+1yeDs1lU?X7Xx;)HkC+YsJdoos;o`8l^_bk+U+{U6rDhO8|8
zdW@vaO+y`>6_3lK7SM7VhKoT6K+P^w%fH|Ex0e9x25C?Wi+**e|IpXn-HrSOG)n>-
ziH^pkpAItyK^xS?10(=oJm42TmBLO>O(lyh;F}&`6O>j_VDBE*tsp`m&||2EZ`n80
zUv45GB9b9zxpz*{7B?X4QW$~FfybmBVe{}zAB5&kuXmrpq~&c7?!f&^Nc4VZx0uZ1
zW@g63#}8Iqe(aKe+A@H=5m8YL?Os=}Hr8r%Gy`c4fFfaAoQ^zN)w&lK7l3qm%7;N4
zX=$Tr?_V}@$Gn;v<--#;laUh5hHt~h__(+<BpK`$34h?ZiATO5paxZg7Q)YqOBTz`
zZm@p3lIIDeMxfCNy?U$u0c}PgIX2e7$cP=FI>2Ah2w;4V&;3-Wr>6(HPQQNrYHnhj
z5Er+qy|LKp<>BSkviEJp*Vi{MkCG#$#e9nP^l^PZs(}6?tFXMh&E+_KPlZl&GlMiq
zI`8xTZy9w+(8OeWb#)c2V$yqlc9v_trh&Z5eruq)`TZ28lX*M>Ij&H3)%ErDpQ^(~
zC0b>6n#|y;SW20qf&yw<+Ryd2KlbvUzkWa4>eaN|pwc;Z`6o{%1@z)_8S)NEM7;(r
z(ed%|R*UtO6&3O)g@4@t0Wi?n+3D}^pZm#7QE?(VScMc5^CvqwmZ*e8@n?J}v!!LJ
zx0gylzy|~u(1#MH2RB?(+S4P>n*1I_2H<K>HhQ0bP^8Cu!D8A72oR9ans$fb4j_ff
zKVgY3+i7J5g-Xjg)*tew78b?1RlpsWl$B|>dAH=}Z+8YiS6))3$J<ywM1z1E>Mzr3
z3c~pTs3O1|wYGW#6##pB^X84(+Yi-MAio48H;CEMA9IT=Dly?%@b?iQkbQCs2<S{T
zI?Cfgq}ZW=T}}78P_G%K|3b>a!BHO!r2u8ekV^#N=y4gb;{yQ#3@fUS_htx!K%l<^
zcuncja#~2eQtb{fBHmYP!C(_N*sgu~{1gL73#e>%4l&TtyVqT5NI>6_74Vpq`eFdp
zoH}cL-yc8Q9^F2>21W`415@<;5RjaJ%zEKfZ9_c?B&gf*1woS$G?b4I419F^m=iRw
zA}2Sx))}l$KMkNqy2las)Qi`A?(Y_5MQ>Ku*Ryy|!jO%g4G0Kzb#)ayO#p~{z)qf@
zpG#9#XJ?C?P*})wfZSSF*SB-c(Z!{>1rBukiEtQqAb_UZsSy)E-}7e(xZwBuaQtsA
zz>y|K@CM**jmm@C+I%c5=z=?A`VEUVnt(YF8pkFRf@ctL|5s3SyO&81t)7hvAVGIv
z+x+<Pqv&X1auSDxBuZyFLpb-7vMLLDKK+;){P4i^%uL(q03Fw#RCz#Z0@6-P`Ep7~
z9n`>sCKsTEyF1Ss-e;$-%{3M?>q%}#K|P?u8c-=Fz{3WV`HNz1KD9^#=EN?sJx#e-
z<;m$F68z(F{j003{Thqr@oFOqg0fWWzbizWp!w5y05S_`5_9|)m(w0jRPRJZI3nZS
zS;k{C=)G_F2~I|t+U`!Pj0VMtcvO)hiMavKDlCdh1Kj-Ew}Cs>!s`I`JYhG$qoQX%
z0WN$UPoXic@81c!Z!ZqXZw}o6`vqVgmix0sx8s&e<oVaKFBuc17Dsv)YOQ$f*5QRh
z4Gc|8j+dGe$D~$Ap1ykkkaaJ-a2XSUhmeYPdP_mE*yt1<5{C=ONMH!xW6ohAfUI23
z_ms2B!8wHSNa}}ZCowUxt*tFA!q>jN8&>l_`y&7$WP9~@O~?B>aHkkFIJ>yGtmjn}
z*gb_dkjw!|gSP8RHGoN9;NgkO-@xnn_JX!9Kp>JeRxlSR?Tw`Ig8oFIU2^1aiHRn7
zbf4m$AtO^WG2w@I2WW4B2Y&YK8T?z>+)tNBOH!t(%fNSGCHi~;*pfK@<J-@35fNy@
zNaG++6*p~p><WDWo|l}_i>#u$I)%%QY<xjDmB(ohoC8oYdY#{%QBY8Lg1&fo?qRU|
z!Qq31=zwS}IL}B;mDaqODc2Ej+`+Wlg@d#`Pr3oA`(;_8zrWvjCfCmn@Q%Wl6pZxr
zPb}s$D=u*{F>nmD{<;U7oQ7t1?1#voslVM<fRF^Ky{zU9aH@88b^*)DfB=6YPU7xC
z6uCHBvWOfwTBwT}`(xwfbq_R-e26W7+^R&&PDQmnTWL^FWDB(0>U9ea41#T{g5Hpl
zwl6HCWY&@=4myFxUct_jUJ{@8K%qwi#wI4<ixj#J8s9O4(RJXo;LCg@*leIPyUWRp
zy54d3_jtC1ood41mTVf&lyp4UY)f@EI_~Z~SfQx!Uw|ZA0J{wM!687QwBBE6EYc0n
z@|x7!I#EWJmL4v*c*K7D79y!hikXw2|9EKQLr!Lg(0L@Yzqi-ua;)u{;;zX!Gclof
zSYqw4mhpIJ0*wEN?=`I7Do|>M_YF;Je^K|;)Hw*+`EnUOEHc0%v&U<#m%<FbBmU{e
z*U1?-t$$vx8&#>-2w$LN4jAhWe<Ztiy04>Lj+a|pmfeub;n7DyIt!S<qj+QB<-pe;
zpy3~(>wwYr_N=Y(#v-i_$ogx)0zqM|XRH|J=FWIF(3q&pvx4Na5@{8cY2ZEqnVR<)
zF?MiZN%+-xTHgR<#o*gBp7u7on;I!5*t|@Lm>S8zaf4f$th9RF&}pctfmrGeIC6)B
zwom`3v9Ey2Dhu1C1f(RSOF}@pQ$o6>OQZw@q*H06q@@L<L>lQXK}xzoN~Dz(5GjTG
zelvfqyVk$%Wz8CAP!H$ZXYYO9_o<Dp4coD2ZN~JiaH%`O-oI>M2c;{lbryc>we06L
zTmJZhZE(XCN=Z)RMzeh=V`n}*67u<N-&zm~;|#kY&>j@7aqKj4sjpvGdhF=^m63LB
zS_FLCxY@lQC26VVX<S|&!+*l^T`XcRLF^0Nn5oa6fFGm6Kj1pVb_h*!;^|uQ&bf_>
zhYxlQZMXsf;C;NQ)+LD!g&$PKPOXPw61UtSg2ce!O_OXtIYFB0?{NiMrF^Zwv(EvU
z2D>+9qgH6=+Tl!@;qk>z#ZGY<eD8)%DlzPDg%uTCf`WRZ?$7^|Ls95*df2~qXySiv
zC0=@EAoD%(p+ptZP7i{WP*zb1$M!81hv%K))UKqY#1mc3(87fTTZ8#Y6uh6~>ZOM_
zT=~kasm?y4){x@j^4jm4CG_?6?aX`z!T=^M7?xjg3Fm6O0dj6*<79|$^n1>3h2-Ch
zjUcW({Woeuyc{AP+d9h113+bZJkoe|=QHe0(U&h1`z<L2?V-t;T{(sOiw*Gd9W56>
zT)0VFD#%@2Tnw!_bc;w*5P|>&JCtH}vR0CRes+QP5q726`rG$u4hoMY9U|v`9bIz8
z`PLf-d2F^_UtNkK9{roNG-x!exUK43O>ywTYXBL4n)QN-k<qf7kREelYRdgzO3-nx
z@~(%%_QkQVQ`%E^S?YI5!S}YZ-)8gMPT1_+1#S*rtq~Cs@OJIq&`>EUEp2dI5=FG7
zHP*Jr3qWp-_V-6bMJ@dKvuUdLxB9LFcADre8j71NYf_fanlYY;LO2C;>Y$pEl8F2F
z*Z0a=OFn$~+b4O|X<bvN|NCfT5b9NL^FeHq;xc0<$@Z(~=pr)z{Eaq`of%lZYO-@c
z)B@AXLQgO4gJ_7)`<b)f+p8J+SqKc1j8c=u#2PbQ^KAA#D|-edXWoZY*!@*fIT0g)
z{)VD>h-HzK0d^+nx1d0dkB^5w5{zz<UpZh)2k>orT31KM^2rk-S`h7?yOz;tdVEkG
zB7L}YpZJ=PEDoft7Lu#Ldft*ayK^7$W$c!ELvS*;s_HQKmIQYw@Q*<0z}pc@yc-Z)
zfq_w~D<~=X5q6)p)34ergKQhqR<m;L1jRfKd@{N0dTThhZr#Gdnz&CEeGkF60i22|
z*~Rebe~JL?1IT(RZa;Wk{?8Yf-63lL$b#OU9`n4ZKcZJ{0n3j(Ez@{vVufbCOie4D
zf?}f7931vQ>x_&9uW2gHx$s-Go12^MzvrL9+lOfys*^{TfXO`5@B{z}_9!p|!<_H~
zJebEyj{05gk}b&$)xed4=a(67jDT?HS%F;0VWIek$^Vf1@-9ARNl6Jbg8)#Q-L_KL
zYsZ4sT}4b0M<ZTRUhe7Ynl9$W87h7A)~#$_t4KSge`UENy;fh^6o;cGj`L^mW{6TB
z>QMdo{vAOc`JPv+GG*{uLE2JOkg>i#29k}V<Nm=xTx{&udWVdNgKIunL!^#@WVU;^
zm7!6#u_-F4hEJRQchept;Qr}zA^H-5p4iyf-Q8W_b&7RF9p?Fqb)eU>d-8-&b`Hji
z!vBu5&d=wq@IjI9TCJ_Fes^yMvB<oQ8YnnX_0f%@t4jprVC|-*op;@mw9yb`Wwq-H
z!)0n$tj^0@gI54bP!4$A7X*xJs`Iy0mI|7i)CGQIm;U~_bM{tN{a0TAPLTNk6Ekx|
zUERGTz&pN7odS>p0}oZ0)nE#_iwfD&l2@%_=)_Q4T8d^eP1O;Yoy9~&D>smDV?ig^
z(~8m*gVm&()haN@TQZ@Qt8>f}p~?iQLDHH!oT+gHR%=9S968s9oQc^{VuiU}ey^%w
z2VgQ$nF%L22qVvJ15z|vJ})h{I?T-!Nou+dT%WE!<El;Vmlp}aD(v>(WNAVEe177K
zO=ehGNkj3s>P`F&?48_k+9-0v&mg0w-E)fFdmgOk%fy*&;94)ss#DYQo*b3|>m5NP
zqY7RSYp_=6MT*Myj=VDYsr({{4K??Kbxm}-uB9Zyv=8L7zh0X5d8L0x`=C#b5r9z`
zq28)xA#;}q_hanx<7tQ38El;0cBH^Y2A5(nEnHtsDiE9BeX7Eqa~>;J`mjuW!9kr8
z8}9*UV&TVRN919zMUa_q4#cv#rY(LUA18ppX%cel9m!qjl(yb|8-JzOd=8L6WA&Qy
zP%2OFNN6ls?H0L=M|%P}vJaDh*$m%;`RIG}=lQL_Cp`IdXMBB_aFIU7n!c!;P*osN
z9!(WJ6FD0?=JAww@5Yqb*A{xnA@ax~mbkp+nQrA%EmWAK_U+5|u?*O)S~R<9Q-M1=
zv!Jct6s|U#5l=+#=v?lE>%dkyP@25?tgVA(9~<cvXxk4x!!$WR@VTb7g33Ql?;5uk
z#(&7s5_!ihOgu5&(A7C&E{6THm21s@8b6M;X!YxQF^7|z$9RubJ5%0LlBIKeXlc&q
z&6#UX8@7x2B{Z3R{)=3APMPnv=nZmNZ%UszqPgCYsQTMfY;P_{jKhe!zL4|SvbbZ#
zJa~4`#wBChdbibPFfW@n)B(5VxRTFPUX_9{ZJl8M@ND%-g(BCJExAYV>AmH=n^bus
zLS;ms)b^Nc3Ve$@QT-(G)S*M3WGMeS&9sm9J58Y9$UL{pxh!A$9OpK^z_L>qe8bFy
zZvmvi8`H{snIi9T$dLjEJhGqXAHV0|O>W)pX5F}YdRq=x@`frU|1Z_;G;_cG`{O@$
zwE3sg_GD9agetT8i`wj@{iUs@t1r5@7cd;xl8L01Ks>hojc|HR!?3Q~mprjah^XQ%
zzVddgPMzNfQ+XMyB~r(SI7hnRysx$7a^s(zupdPkd9>GqZ(<USSuS+v>x$1O!CXO8
zdp5_?QJNQ|?i>#(<NsB2=Tj)kX>c{39{2>e1vlSiBUY}tj{h*6_6qHuuwG7=ZLii$
zZx55RT#m&(^JkjR=D4ipeaAZnNc{E5e1vCS4L~Z}PqofhPPo&P(fRDdDJ1wrfuY05
zd764#%ax8vSzNekn7Y)=(ggemgRP*(TS}-iv+CDz{hl%g+uavQH9bT7Z8k(P<sWe1
z<)A)kXsF8qJxj%CaVqX-MN7iqVI%`$DLf=BBrNzpPZQ>bnswuw)9Lfe^QJEOpWK?a
za?E}n_VjfgcIu!LBXv}4Z24zlYm6N>c75%;>O8$A+LQ@8QRUGTWx0v;<!5LoD3tYT
zAVA*Vc0?%3eePVB`p(`f7r}5VxGxkc%OtQR6lW?*^FNfvbB9HFE9x?0g_)h!>j9Yu
zVzZ~?595pro4-oBF0)Mxj_mz##;Zsw9JcN1{BJpM%xbTB4+awE_KkO(no_C=VQ|wO
zkTM;{^<?qgpG(ZbbH-W-9X=m!i)p(}Atyp9g5i2$bYbT>g@gqEY7B3AvZW$70jkYY
z+kJ;y3j_Wfc^dcN1re~=;FixDUv}l$_NZtfv6eYOA_9cfOyN3=)0_NAftpGAMw&Ih
zpPr8#x54`FW+Pza1%*zJTXSJ@aB}gzM<<VTztnT1vMuN>>cM|IX;-v0{FORI?28}@
z*Lk*$Zzb^7+Sp3G(8v0k!Dqlt8x~MOSzVsTbX`eFsjfQFTac%6_rnOd5{h*F6(%0A
zlW-7b)nbJO-`grbi$9w?@Xjpf*|#hG)2#sRkNK7PM|O8BLi#}L+jP}^_e=hV#t)^{
z&n5<x7_pS%Z+}dASd$O@;bfxWpC?sCGK|E^J{jHuiUk|CfdA_)7Wm4P?Uu2Y>(r9e
z8HpJ@8QApCih7YzQXPo)(@*S2PMN)w=Vf*S>Aq=ETQ#VUlLE{HgzO??Nl)s2od}#x
z|1rtCKeYri!lz!yWuQbF9SOAlkHn0k&MkKFE0Xlx^3X34s$sFuS>5O?Ha=fA`8)d=
zKA|F+_0+ol^s4mqZH^}zjO%f>i1x8IeyH~FeB&r$ka>Wh>HR}#D-BT37i$b0S@FCj
zhsVj;$(cB#dX%;1aNt0Do3?iSTf(OUEac}G>WuM<V3;bfe=AL&IG{ZcJd1HEcrxF#
zFz)bU0=XFUtn~43XjD_bN%k((-B;siQ){!tGGtAdM`)7YOBcU8!xh1e^th10dYQS~
z(xD%p^qLus<&O4enQHR`2T8|6VG;V%^u4<zuQb<f9g4s#RUj_*dXHd#g=W9pcNq)^
zgQ<7dZ)%FL{=MFV6h>`*NMTg`MEEJ;P77wFB0)DUDcTe(-h6YeUa7~fh5kaHr>NeC
zJZ+;#3l(+srXQ(OO&#(%g>|W>R$r=EjU%HOChH0ss$nvQNGZCy1q3V#c2$OC{AD_C
z&64o55I+6tb|ALZ4oQsSN8hYEubWI=`&IMHR06@y+Q&8E^mstj!ZNp}VA7+EEkDWO
zkJsAX<A#X2N_oAR>E+~p3(px(UPD#U#C@WbCp$J`28IIts^z=$>vi3qQF7U(KQl}{
z`IB&n=ZMGJk1xIL-?g5AtKcKo5}Xm7S(CY)5jKQAO{93upZPt_oqX++C6Cn-?<3|%
z78E(H3KE>2Z*h-Lzv4Ye4&3YMwR|%(;3?oS$8B$nYAp9q){c=OZD?!&@A;j$3d!F%
zr*D5vFeX=XJ@$)uGba&Jec>-=o4cDooSO3IfG{SB`X}mI^xE@>$MXE^d|eoc=B!p5
zgd&MO{6*ElRSz&lE=9d&JTHcR(zR1mSE<(I&b7>YHFzEm0vBhDFZ~If?ht+V`6Asx
z{G`3jJLY$NvoshLn4Z|KL=CU@-tJK?QW@kKeDcmMdt}{JnLBQiwUV_;;xhR$<8~X?
zJGoV!{=9oFN(Nj>N|vkERXJKe*S{vF*HVPM-eMe0`9qS8Nt=!vv)AMJ*&bg9+nK6x
z+}1(P0W-I-=V3pic5r55CZYDx;F(&JTCmf{RSUVHJ|5Z8^+3u8m^@Tu-5B(g5M1Cn
z;>mf%iCUej!$K`iz4v(6>M?J=^gUvw2xg`gr3+a<%-q$)9{3;!bQRZbHE#8A=W;Rh
z=9wDz^s!3NN)*H`c!@<>qxvg<A9<=J=a1WTAAAw$fJY2UbAHheZLOJF12bRCGSBx_
z6Ir5cFvm5Vo;t0y$ro!x_E+uK?{^O1rA5;ZR4*FBho9Cjy$J*SVlK40V3*0ZQ0FeW
zw9RMQEhMXOl>!=O+QPnB+S3DT9r2*e*3AydzciRBBkvhPywSuz-1x9>zK=;~-Ztj<
zu7#Ddjk--aG=VQRudW);7=yAvZ7?|HFsiRq)3e*MSJSftm7GXie(Fw1%i}_=lpmj|
zhy)7wi`^@$8QMKxDJWm<y)UkARcOuGdikoj!Y=79O{4N0vSj7Ry!x_Xy8-Ry_mx-p
z+hu!<6H$+PsvXnh2MFWRTdQRPpM{n^@?6WKJTht8&KQ{=5exX3w=~Bs;>r7)k*Tj%
zY*EU6#=~U6+oAEJ#GeiGlRCR6n|;Ct!PSIWj4%9-oC9uHDJ8T@q}dG&G+WsveRx>G
zrOeK2?H?WdHMy<+B)#lWLHOGrw^r477fpwC4BO<=8AoJl$!Y`ba(CHnF*vEmH4U-C
zs#_{oJ{{4fbWJ!=C-1GCTKZ=x6|1@4!DkQJA1GOVFnwlVdB>p55IaVG(#T%6O~W&8
zM4ZA^u#EU!UUfNgISk&Ep|bFzy#br7f|cPuyRt(9YLJ=k_wwD4d?Fpb1-00G^q2Xs
zTQr!HsLLj2xp-PESO^EyIpc-41Rr&X`bA1*z7fI4)cdHxY#n<81ODhGFLl}q<#o-s
zp%9z~b=omJ$}qLX&c@}Z^%+TnPR8g~C!fE)5h+;hHFd(TF-P`$5Wi$r^V<rS+_4iS
zXNE(QE{Xb=Dg_E_NHwKnrbG^QH`88$E(uB}1<JeYxmpJ7?t_7&i?=t6Hrj29G(3Al
zzSLoPGvRiAga4N0jF%aGAN1<E*y``{g@WyX`fpiEiA2qUQy~o4b|{@j=-wH}WeTsx
z{Sytoot##1EjHk%E1<tSG|8)cU_*!<GFOQnsy|RVS|rpz<QerASA{y{<kMRxH&x!6
zzgMTHsGBzoe*U2xsPiL`elU6?&9dX;g`J0)@g0MTm7h^ZeEpwMDv~g2%yA=&<w-(L
zr2o0XtN0shr;^w^q14mVB=&8u()XiOdA>dTr7E3WlWTa@<;pN>&+N^VJ32Q;7Le$f
zFI|j<hE0Z-IAni)5@Q-6RY`(F?2~m<IZ=7<@m`E|_!yrpe@TU&N~l)e936}lE<@i?
z)mfI(w%Pg{k$k26@~d)xP5<7ex5YU&3#5Omz6}Wza~c#nslLp@wi|H}9Qph*zkITg
zsW&?939fkJRHs14v<(dFlzvo$iLBMB945#4@?CiYWz3ylF{7XSuw%HZk!s9i;#@2?
z;em0qKTXggbFf^Qznp!=QNm8+EiL`B_?VkrRl!<84P!Fs$M+vLjivAZ-sSi`Xz<3~
zO7(lad)ciWyIp!u3_g4??QPm;taW&BFWwDA9&`Aiiear{61Bznu<P;0iX^T2SN^m;
z@lWWZfi$^uW37eWsgGH9J~Eeoy{E={lKEqYM)cEFZVGb#Li^{Rs8^Nh%Q|GDNtu-<
zUlzu({YHBG#(3QB;FlG1{~Gdal6BNwAt@5uQ4YPh@e~jdK#WI6MmAlWfM5b02*4pM
zx79NQf%uIc+!z6+$@$U7{=SS(ff)nC<U4=1WB~R74uO{1rO6l&@{0>^jTz(DD(eki
zOEl#}Ks+wBzNq<FjX;d9t#}QAJOl(hmE+Oo3Qz6FPb9ibvc(z&_R8etL%>de?i5H@
zV!HK>4FQ9>yDBN{pezUJs|<~!!$5k_C4I<#KtRB!iJO0TB{Vs-SZ)I%1#-fYii$Wu
z&9Sj-8X9Q#4QS#(0{dlb44;VTcz~?}UoKsL;E7KapX4Y^-hzDo;wiU;r>6SZ2kfSw
z?$uORYiVn%C@TXUKn~0<LY-7aAO9V+0Kg%xtgL|I2M`(sOais?@Q?QqR|tKTwzj(U
z>9+-up9-|>fD;0dhI8{~8lV?SRv?n?0aXC(!)M~W5oL$VF}=oE$T(pJHQ$8#MrX!T
zH0r@f0oWvrHb`#9$H%vmIapa)xwt@SyZ|}2%5(emj+%L&->A?P1-@wH(p+)P_$DZ6
z?hn{6;OIc8&D|to8vEgX#7qz&3*tp!q%dyL{Ic}X%h&5?<W=4idzSgu$bEooAWp**
z*c8yU1Cyewok<a`!wP?x7!wU4=Tz{C<`gy=Gh9$A_Ivsv5u1|Jxz~lnw>_t^@%dm1
z2Vi40*25Fha{#C$GCzzxp}jmnz4kXcO47O<F=8eaH2w+oLXCsE%#$uahk>`O)B9ao
z(H<EQaqe*Hlv$TKQ&2|U$Tc3-<8G<fpqE`DN(`O~r?2-vj4~xFL!5G3YpZX?<;eW~
zD1k^T-8v5C2P`|^HZ_hLnezGW3JVL1iW=on=mv1(s3<8RG<-iTJBL!ADu+(I2$;R{
zLiw)P`;^@M(M8u{_>0B+c;R_@)j+C(6yrGL_*34eANB4UGa;6~DdvOq!+!;Yx&*pF
z#|&UFsTDx+Z1|WKm2YkmF`MxYl_UwE!jissI})Tr5NrB)z&SvcejEh82>ENkmG9Ch
z`u9)3QY=nPfG4Md)GA-=2MB~b55D3Kq$3Ov)>c*yUn(Eu>5V%p=1;tT{~pkIwG6=@
z{(@4ZposHb?Y{Y!m6Dja&S61tY1CT&P0%Il?MUF+<Uq9*67v0Y2q1poj;jUxi-V<e
zLB2ss&%kg}Zf|6io|rfZL}>ByBnqP@%k4+?_J_ZJ$G#dnw%CCw&y?5%yajr2?lK>$
zrG`L=`;S1Xgg<}&fE@z(+(&WMI@tsRYllqgZyP=LjP^{%$gJ~pCc-XvfWhy!I0Tft
zScAp=GeZt8!0o{Bmg-jshExO3LxsmIAwiQQAVC<x2%;sxImLE#D|TC797`E$Kj04$
zri%5PiCW_iwJ_+5c=hUyz%xBx-&Pnky0}fW{H4^<EvLms7qB7QF^w1J7KR`8kP@h=
z*@xhV;Xck{pr`-T)deg=skS^aE_^D;+P?l4d<&=09z<~f%|cjp{(t-y7r0cwxdOtF
zI^nnPt3hvziYmy96-qB5VX_m3FU@k#R@!KujK8&-hK2@yH!3Ekj?k)jryVPFwQkmA
z0o0>2T|w+A^!&BKXK&L)?0rc<?*z;zt+2CHODR&i^i&Q)!}<XuMv)caRidW;3yjn=
zFJdWdgpLMqXIuSZ>2wxKQql&iL6W_46r0X0ai7)I)ml9gI{qiU2Mf1L^nWjTEkCX_
z3!2gAVJO;ZhsR{t<htQ(5!F+#bx%gX`ol%ecFp$ki|NH7POdG*{I2Hbii(PmFzW5y
zOml=A-3^zVV#k_lsRlVwDi@_kgK{at>=PRuJ*8tvb^X^Zz{<y)Ohn|X);;RJa7X6z
z%S#_0AKLrRHJq9-!kBq@#%E?cK^0M)L`T9mPMf}6R2CIA2z%{^+zD09Q#DmpDoOu8
z&Yh0<(zdo&g%2@OlcGgk8C!EY7{vYDtqYvo_%4HQS>Q{Pa>a`Ic)nzH(NE=w+tPSc
zT0T>6J)91Dg2U&%UuEa#8v&{{=G32jk?&=d9dLCH>d2|-=^uxjft|NujB0CbO6(ur
z;-fS7^lNjIyRnt{(7KcmJJgf#=Gx(t+4gqxQau6!0tDFE)8pMv^z9?C8^FHDrfdGW
z@ZPHUm}O$T>;LDujbpjKOVwo>UuQE5B_Sa_Nfd{PA!~DmEWMJNnyzFsJ_W0@N3vSh
z;@73&H{7{yn?r^9`Ht=FOA->|MW&<}oo9#AcnX3p7U35=`(LWoJ~Vut5WntlX1N^+
zI>6%WYI960AbB^ytDt)N2i5LN-7|fd!s%!-tb-Q)%<A?EnBvE(%o%^PbCx9}2uV}h
zE4hQ(+M4M)z{vAGK#(6Ht*O}M8+GR<J6rGnGoIIytjuqP^|3hOLmpxY0U1`ii)_Z)
zd;pHJcFX<*g2cHw^ODsBk?{Z20^H)Kpuga;;isaTnmjgjo3Z5&Srd-ix<j&1B9aSw
zqM8~${sf%9ACrX;dM<3i+s39+IJvaA2<EcdQPG?fAmTujA0sUHMA7PpJ4Gx*euCgS
zrnFj2b1bfCCJiMe_7nLq1~xV}UfzWF)%@wo7LSwVFvTx-Yk<C-VV&JX-dNP9kB8T7
z@eem97Ot(C8PSHisx#m4NG!(}B3nPSQxq-5Tr3pKbA5D^pE-P}kuo#Y-!j(gwc<`1
z897R)AZ2DwyO`|l>yu&Vm%@Kc!Jr;0@VXjaYVhf&mY0yOALMFKiF><u7gu(%u@#lA
zZ*KX#lJ)fP7zwGy%<bqXe~EH>HC#Xkdr0M(d_wV^NyAY5lCt&te%oU+y(Psi#bxXD
z^`h_(zd+R`+rs?z*>{45f?heM8oFY{ZUH(2i_QTp&iP(o%<1Xr-Enf?=}f%WLXXNH
z-uD1eF+v#-@pCzl<{UH(({US#4@j+!kB`A11)^p5ekATUKo{V2x$BV7F~)Nnvfmi*
z&m{m!05~(ZeH4&6V7j}?$%XEBI@ju@ym?jg;@Fy+PfCqt_BRJR`;@qMS`2Ra5;g@L
z|FfC0_wO00`H*l5-oKYUC9UNg0G3*Shexvy2Pqh#Vc8#`522#oFlx;qkOm<Qc%jC`
zQ9F=;UoTG;b~j?%Sy^#8T$Njb%R}k@FF#c<9NgCS7dCUX42;3xzBLdWr3v107i|OA
z=S#6_)t4YebZsgaxj`Xdmvqvt$cu*+`e{aQ$sKF$+ra^-Vbn6QgQXrSDsp?!Ty+7v
zEA-;XGO_PGNs$qhmswd^1;b%?UBEFFLBza$m#KvlxMa;ddEoid1SwOxfm?*~&iJv~
zM<u}+d2CEfZVyiO@S!2qkk^pOZd=o7$$JB(6I2RnkjE?4RA13=I)<5hPrJbQqyN%W
zQzZ*8FRyz<LLL{$Qp^k<e0(eHBHfacaA5_)6R6yH;cAiazJ!7%`t3*u=tr~fznGY6
z;>Nr^uLh=!Xlk(;DP|`}$AZZpAf5wuzQ13|&w`XR72(=rVV=2}F)TQiCP%ON^eMBZ
zEoGJFGf*}@efl)#tpT%ZQ%cuQhKc$45&$ko)c?LC70vuQIr#+fd!R|<%J9dNXRwN=
z3wTlxDvglVST=?^nV5WC>x%;+7WmI(ncCz$-QQqE$gb{)*<0#U7nhU_eE$6N^whNV
zIZxUz7$o$82oH<Kl|PWrpPo)ZNtpo*6jTw>U%bE`g_}gQ^S-_PtJKpO9YeS;)Q#?1
zjn95ARLqiYgncd)4qqHTqk}5$4KbVEYsvRHIe~xrkxy*+ZKbtgIbQ(F|Cv@Ult4Ku
zXmksdM2V_p#fYT^6)9W{%+GiD?0KvPZih;n9~m-`$bi@QyqhATv>3MM2Kcc@=qLAn
zsX%S%>gL9fcmx$Kkp58Af<g|&MBS-iNCh$S-$bxG$59AGp0UR(0s{`a1uTrus?9v-
zXpdD;y0{bWDqvfssaiv^s;{34<p`L#<Xb~3Dqt&iad)5Er3uWvBROn<Z56@$CN))o
z>4;idkuz0DK)~>;*gPX}^oeDCQ!_Iusi`#vWiaDlJIp#u=v%`z5LtzjKyKfDe-X{E
zIisb*7P_d<NEolwyLAkz$!jq2fO!A+={U@eqBI7nZUeKLIZ`eY-^;xQh1N*e9J5D-
z&V3~Z@365Ac6OR~Th8ATvz=gE?E;xke<PO*oeIaOy!_uVa@JaH5;~nnkDfh|@w6^7
znV~{Wcl~pAh^Q@q`~17m4z<I!*Uc%#Inbzs9^AmBEmC@4B>}{T?>dgp|6E-Z7b~m@
z`-3hBR*-(K#%tq!NSzm<iZ$T_$;tV7Jh{w-v|-2?$WxY|ui?TxXm6MBv!=L%9NY<q
zM=;E1dBWNUy0rgcQ5fz(G-yO`g?9nQ1&bVB6<WnfZ(8!&_oDc9AQFG}sEkx|zz^mi
zHa50`DhUb6?**ri#H6Hd!f%_KMUxduiWMepYT=zpLP|P21E+Yjq^Md)Mn;+;DVc(N
z*V@`T_AGV=aX+g)QE-3@5R4{%C%U|8P->AFCa9sr$gdqfXAlgigJA)vmY<?9oD<jY
zLG?mhj|H&S2>BU2-uikyfhO1P`U-i3zKqi5cb#qS>rUX)fq^Di9*3C@ZGsG@?d{04
z@7at2m_x(kT$bpVb=rE`Y|t=Hv54n{!GQ3k4G|>T7P3p*OctoE6M1=fbZW%6L#V&K
zqa#zID>RgtbkhbBO8i<Rns>g3)8%N?;wn!+qN7Tn0pV1Ry03!G*){=suqF`m+s1#?
zpFGJct})ZpczQ$M&5bXA@qsC<DbV49W>qyaYME!zNN6WSltVquKBNs3Ip&U}SMS(s
zV;<z!Ay`4>m_^#R#<+CuiJ*b#zF-7J8dHFu|235?nj$#ZgU#O*y9I$%1RR2@nb=YE
z?Cfx?O1dbiA|oLzk_=H&l28zo^n0+N%R!=WN%fTLvc9QbU2bmYRFl+=8#iE6;z#Ug
zlGo>>u)1JZW@Tq*3@b+Rt1|CGXWhN2_xQ0I?-z2Z1X7ddL0DZ_Afp6vf`A7n4ocnP
z>BE2vqJF7B^gYRtlN@hm@U{YjZ>dG0GY5}7>TSEZw6u&28!PMQ_kg&b9xOLZkt7t8
ziFw+;cp;LOgs%G=CNtBr=ZuubpdS$W@Yv;5VJ%651d?MUZjIsK=i=B{rR#<=hdN$S
zP^TGe^#o$sb=oPG+4YKy=|WCf1<V*zU1r=6XMppbonGIXqtR`m_BFX4w@q3Pcl5CJ
zqwUp)c1>K;HXzMm&}&>=T&(@#+wkt)DtIZVdFH?uhwzB1J;aOttU&7rwx!1>w*0yz
zeTSeIg7u#*8Q|YN`)fEu$n?bq@ewnIVl{N8AaFmit!1mRs5%3&69bcqn%Z5W4!p6X
zhGl;-0Rde<ir|#F7Ow-xrRL;6{lnM;O$TfhtqJk*x$V|da5lr%mO_D68Bhw4hY;7O
zO&r&EIhlQhwlorU2lfv!u}2>VNQj9+M+OqMDg*Wt$|pac--m1kOnDnj6jW3g&?%vW
zT9z8jTu@39%szk?uDqPH%R$|47~VhNc=)bwcx0u=nhe?-yJq>t=p2hEe~>4F4qj_g
z$>8y0j$~!fA@;2}zta86n`ST75;<%=`c_2yWE57)>({SWS1nFbAtiumQUbkp4aD}~
z{nh8&G0?Ws9eixVKM(CSqy$KS*9E$O9}{=Q7g4!yLrbr!sAvE^xbsbPwkZ68;bCh0
zu)9o5^2F_V@84TayjMaTtP}79QN)77x7mu8EJY?95B$lipzNUK3@R8%;HrV*8WbPR
z%P3a4?=E}0yLUm3E-LEX_}v2Zy9h-$><`w~Ot}ppvP<u<{#W7)Ac1ne*08z(R2$G!
z)lBiAvr6$NfPh(WQGO(ym6C?W1mZ6qKVJI!b!5XeT%{M}R~4qW9#ez`+c3gOOe=!X
zlx48uL6g;$S=rQ-*0sW&rg~zP(zgc7q-xH7$qAW^5WpaEK5I~9tX#zK>!w(y5l6_9
zEayMaEIfx642HKEwBmHva9R~u6QUv`p^a7a&1(<swy2_!^aqg$Y<@Fyb0Y88>EnxX
za?BdpP%c(Mb4Ur*GAI#W>$0gO>#`;Thy%qOe3Y&e4Y;=`QZ6XazMn`022qK+f1i7r
zy;S#%RLLrSo`f*C6O_@Qnf-Qr4ll|l;M(<7$LRtX;QISGgWodNPt)C{79l1k>%LfO
zZ_N}{SQWeQJV{Kg?`<PqB0%R#x~z7;_A}HjRQEgknG4<AHb+@|=xs7GmSkmG3EwYp
zEQBQrPFFh!l3-3tcg>DHfBqaH;e^M8Fl&GNXjj4>yB1Q0`01`H*6+x&CHyFo1o&aU
zg@*|uF|z7Z*UD-|2W&XE3BLG*g!Gvb?<Eg(-sHv+^F4D0qZ`XJ8#0_;0NTPz`Ja{S
zzOo{r`vsHY`e)ZIl4V1=Nq3qM9uennfd=ewsuuUJP|$H^q^DzPyGHjy)Bt3i#8h5w
z6=wT`0653$)KoJP>YEkT;fuQ>BInckrkRof?YUfN_z-kLE$L5{G|iBdalDufJtDjn
z6WH48P`fHYE@=z>zgb(aC2aAkOneLsUCyZ;-0W}(xD|{Y0VYs7gR)EuK#m6$fFibf
zpV&Qn{y;k%<g0)IfL56D7b~QQ0De_PX!YZEwhlNZGhjrsvc3jrJTQfI3cH6Ns8?aI
zr!S#&>hA5WudOw1^A->mHaLjCh;Zx&-H(wHPr+^I56!C#K$V4i>y}VR_4R4M^(m;T
z`+9nQoDOxoLc_p-x9i8hdrsh42-6Vc;c<byii7sca{p0PLzboEGJ0`wKak?WGn-kX
z83eT*yjvx&&KPRF)f54l194h-Mo2z2eY_38OK?n8PT9@k(o&zD4-JB#L|SCG;lPiO
z4acK?`G9^B)W<1YrdJ^L`k`r9taAZsBPwC%juMNMv~U19pWip}_4T#4FWc|x&?<)T
zkK|4>Dlt!-0{b^q(sQ3bD+)XtQhaG{pscJ6YXEeK4-6B*-0!*jWd%+lAhmLHbAwF{
z;zt|~6J3hpWa;N1!-Q}2KHsw$_NC-DpVM+kCdj@%r+rqclNNJH2x8a+u*`v-4!RN}
zDs`46IGPCJ2FUQ<--b_O>US~?z>m9TeRcH_=z??D^FI#^%s06ea-M8Lddj~5AtcXi
z3poXHLiuDrUwe<2S8L}-BJ@$Pj4wb$Y++&XD?_NJV`!0-?!5*J+??OlpBJEv`~KY~
zp^X*{KCm(PN?e29z2V!K)uuXxDUcwdX+R`wzudkgI#_A=IxFi6^s>+;Jj@hLwj?Tq
zG8TMMxw*(m`MhwWu==)Ko1mbE3Z2;v6Cz>Q*}?Gd1B(li3UD)J1}yydOJDY_W!`_m
z%fJvkxY69wLgc^%{Q_VqU`WCz#6-JKQ_<dT!j#x{b+H5Q^AHKPn!wSm>p#b%tX8Nf
zC{$Eb@Oj|{DNC<uYHA9FxSyYR?k)hISh-EZHzcwHV79{+16OuyT3ks2*8-&WF4x*l
z!VsD%DAvIFO~x&rd$4Qd$;W6_uxF2&0#XFh#|MUdo~FcbuFdF{m%BTJ1(}hh9C;6<
z6FtM1KHeP88@I_*hzp~W;tSQ#V<aRdA+aFyTsgsh_OMJ2v!}Zo0AY<8U%I3oZb+cO
zrgPt)cKe&`;pG*+os@<$kkCiC=!KL$A@LV&)|y!}a5b<x1&ifbabUGwj(aUGWWgg<
zDt17wFA`G6mq5_!LXc7w^63r4Z#+Q-NfUhaqA!vnevOXdS)9#@O6M09DW{_6iCs%+
z*c}koFg6reM%_k+h)#_ZQL-6mb4Dc-mM?NVx-D<Tig#RatBsmoRUB<k*(F2(s|nyO
zW^Vnb`mkv9=~IxTFgg(OJ|%O`iR~YvsL`lDd9agbN)s=F%CbPqd&~5hl^pInV3{tO
zFBA(tHvMIqcwnd+wn05Isn6>c{t_7MBfb1GiKT|NR`IQtxApJp;nEn_2guSz52t2L
z=0<SWOD1k#85kt$9oL@Os`#sP-nx;T$_iBZiw0wjyRU!xH%L+Sx$MSWUlplFJnA+y
zwKV4~W2t&2EE2ndn}(Z}D6XquwLk3p{5PF+(Y==9@3I8aMc2CABAXQ7BG=BkOljub
zc6ANkjoaEg3C6C4N)m7WWw@ok+Nx!89(ol1lr|DBdRgs^!zHdQdM1_7&mP!$E1<G^
zTEAq+zqItCF7k|AF-v*daW+kFu6(n6yhb6o+K%jSg~4@z5aa5~^kcos;b>3HwIlnV
z;z}T}Z+*m|(@8Pj<Xh?+nTu7_@G1R06Z@!J_vk7<{OWlOzCJMWah^2lh9Md!)7vn1
zKu9121U<}A8Pyreqe=83Aif#1w-NsBlM<%m>CB7W!JZ@+ob|`dYD4^}HDI0i+BmwO
zTVMdfEbjgK(eBvkh^YXa`r@JSf$djJIx%LkStNbksvmaS)#hIs(HkSPUK#&=oW^eb
z)PXs%r`Ds|1LO!mlk|71t<FEH>kio4*y~QU=Mqfpxh)iBm}k)4Z|k0ZZ1Xgg=VRY$
z;keC6US=OBSrq;eoMJ+(<brb$ki5BQy`0w0PchuT&@cYp^p)nH(=Ku57h&bt`Ez5e
zoVp=pc<}Qre5xF%9X8rr4IAu#1~DcYA_dc4Az2YfL+IfX(rAYY8!v26SV0`;9O@G4
z1-kYBiZNJ9!w6_4=nKn?>Gkg|oE^wdSK(lU4U&;I$?o&^_LwK39&Ws8dZKevculz5
z!_WH6j2EZx=aqiE%DO6vn=o9TCYNR{HQLMBO+zUR-$Io8ac`sIb3)^YL7(-`!I!!i
zc*Rf!N&VNz;t!aVVR~~aM%=TqNE5Z{zngda!re3-clhgcdrMu0X)iNBi6CYKZ}2|~
z0*vxt+{uEC2ZLulYXrD-6x(~d4z06_jQBb?UmfF!JeR7;g(vLDVZTRoGS_l-HNpH#
z22-5FKN4SyH7PbL7L(2}Rkc_H)L?MSKN<brNrd3Xs6S(~)26<g__=%7;z9nm{x)U-
zTLDbEQKc*x90>vmeoBgksHN9)cZx{92}^wIAV@UC`H#VT>+&|8Qed>qH_Te5#-rNL
z=pxCqSAj`4MZT~uwE<@9o#UT%0E%~0^bpQq!_uM*!;O)b`Bz}Ex(<|3dyOxFbSzD5
zx8$X%+#)N}qKo4Ht#J4}GN-;sPa+T*;vt=HtYoRxR$XFA65PZhCY94U(0ro_7ANR5
zKn-J;M9o7^+=(0ZUn+y3k!(NimJf{%KTmJ6bV})?VM-ZdTQ`PRkkVWoRbCjKd^>nx
z$bdAUg^TJ)(B*E)Isfsq^H%oX)VVM*ksNf5nU_4@yKX(Ev};U6>}190W&g_#h}+18
z*a^ufolOzHatnTINBnAL|Npy%{y#4;=1e6tUAIAaF7aDJ`|)FKiB3r#50W9cM=it_
zn=jpz+B7@WbO(`utb8hf4_kX3jzb{wfA8zu8Cg%kO1RCAgpQn4rz2&kawBOPdvm27
z3V$eMO3TU^(@ZAO#ly_)u5OayH5s>q+Z1f4N8vV0kF=qE1&Yqdh!r2RRt!~&Mutr+
z=k-fkGF*nFxvN#9%4)a}0C<t``rp}MNV|d(1|UU7A~;<28^AAsFJA$EgD(vg&p>}a
zqSgfPj<*HL79xl!2ni=9CuMm3pn!qmPd@bwd>eqt5=ei9moD@`09XOG(o24WzdL6D
zkEI5jQf!=@S6h<ThB`X$tvrz@$eM?s1^DwHwww!@Ilyw>ftxg=Rf}@FxuT>QV5d_E
zZ~|lvGWTw!nIX9{I@#G-aFa1|xdZeA1d!90$`z2lgGUo`sWde;Ay)z{#UI`KCAq0s
zS3r&prDF=aVKqbt(GlTD1>N@AU%ZKhMIZ11;CJA;-?37Yka&X26?)&L-mqp#pPF8q
zf!|!vN5ab+tfP&MjS%8TU408@@YTTYhm)pOYRTYZNYN@bt~Bd}1_fUlTpe%kzo>=~
zL8#T;+c35t%)G;ik<Jwc*3re~5CJYAWcioBfnHnz&KNTnJU>+i(E5;4QI#nN03Zda
zc*!X#hzu)8&$^4Zc=$E8QPTytXhmrxu{xo;n6H2^;@^Vs!qgEAkO1R#Z!svu-U)%x
z-yF$=Tnu^sXh=Qb<K+b&_vzb(2D2%ag)d(WU`({N`Rt}xbiD-zJab}OwhqdT+F7}|
zUn>HR0L9qXYgZtD-ts&_KWr*3Rk?#7O(_(6R;a<E3bxAr{ue;{>6)S#<(XQ!m9M|n
zuMbEA;e>IcGg!0P^vnN1W?r=G4oPgmfJu`p98tF-OhZMr2qq;2xS$aGC;jNzu;epL
zD^fXj`eFnXnvwAcur06!Ks5zue@bTN(%9Hfm}V3|He)b#7aK}T*_fC%0R`brD{E>Z
zr>h09e)S<)nE2_U+usjDA|h$>c^oFKjrsW-z%sgRjofV}dDLPQJcDt5wJCPpbI!UW
zhdB(~DD<s%<>eYIFuzWr;sk^mpI9hgODS(0$E9#4jKT`Y8L(?#s^po>{kS{nlj*(H
zH=>_^dU_fFrtk2UUtsFV0&WbRR;Y9kKK-_qG3P0;t>@r%F@N1s$Mh?IH_1WUsKn^P
z{_-<h)I~D9rGb%vR0<$_)84!}+stsH_-66}I|dQgcps(%6wqMlSm_FHa9Hq!(m6z9
zey{f9-sOVY`LLt>X|>v*&W~xfQVkYqX=w<i%6{|4Ku=E)no;oPY^<*%YR>#r6W%G@
z49t>7F355N90<x-bMqAd4+x~)MKjN|!R|JWol7qybQ&Y{RSI(nnw^?aiNVjGU&X{g
zt`-<-tfQZ>ShE(4WFd^};5aOuD7C#@74`?0IOM#+rU5t^5%mZ(X;7P^x7(IV#Z-gE
zvRjCCif!klS>Mvl^1*{302d)TsIAS<&8;Tgn?GZC<n!m}zrM!@2Y12ETpy)=gm$M4
zqVkv$$ya(gXdeG#HiS|i@M%CDLY3*f7`(E~OaKZj(J67FJK?GU(4G_%4WMm=C+K@#
z9FFg#UXc6%IKUy45rfVhGArM_Ap_!mZ!ZQow!UXOc5Vy1Bnt#8CUZZ3I=?HAHa7sn
zJ@`wwOj^l^h-#dcB?jG0|5fh%6oWhh@Vn&Y0Rsb_HV|^)6=Dcce=B@A|Ez+5V;nJM
z9=FU)PS(`c)>c>Z($iajOWRihL2ecoE78ZFU0eXP>n2PEWW5e6*#Ck%$;7>XC0&Dy
zN6upj@-|`9fPQ0ra}#i`x||%Ou1ffcvnD>c=$I#;oCmIUOs^wjW8oRdW9}_B@!h#|
zhmlb>rW%tjND87EvR`bHgYmUk2WnAxG_bMU2Rke5U218(p^Ea{z#lRtz5sR!{ISHu
zJuA+zefmOw4hF$Kh||z{*p)D*I0r)v5vKrIb#!z9WkM4-J3daA*pGsOf-emS6$EnV
zx8=bTz<`$kVygqBh4E-?ex8Dc=Bp%mj=*{{v{tU_>anu)5C;H6MQXpLh=>Tp5kOxI
zk(TTvDhyUKGBS|n10W8VqF}sXenYbanWe2juXAy6CEmyCdho-B5|luI*}&h1gqRN`
z;cLR2@rn>80&DzS$so|>OM_E3co*TtvM>GzD^!{_nXqOtLXhXPgY*TPiXua@GJ!NZ
z34-{Ujzk%XB^WHzVTESQ8I0>y2J#~rBGNxnlORA8q9JCqvu*e(GKM|f-EU)s0)jVH
zq^WUKj2hLG&TanE1br5c3C|d|u9?Gp`vwJ$?L`c!fzGf+6*PmGwn%OYYH1*o`uDKR
zg#}9Mq1Pc34yNMobXeu+38W#R;l@Sc2Q+7kJY)ys(i>fszkhpz|4Lt9|L5bFN|MvN
zfwYm+DC%Wi9WEcJY$m?H@@V1;DoN}fA1Ao~1q+#ZhQiqxi4K@yoUI?R0?k~=s`yCw
z!aO%ST#$*mlXc?^DlQ2X^R?m?LA)eARESYV?rcH)t+B%l4tx!frb`_RZOAvN^gNXd
znA&V^ZU)m@*>4AIoDQr^GAdFy_%ojj#d&#|?!Ezid}C9S;U6E8F-&Yv3uj{~aja12
zmPN$Gy4cCvQ1>rQ@oUbwan@X$xT9{7Mc)wS5$2Ra50!=tMJj6QPA^=v#shqo<bl{&
zJkd-%z8}Z}Z{mr9*HG4jNON3}PN_+XE|AxAa}eK3N68H6MO*YjGy8%%cAH2Pu9QQ~
zeb{prc$t7w@CSL`9E};h?}j@viQgM6XH(q34aY#v@8c1jF34?2dssv$`=#Xg+c(Cr
zjSx4Hqj2X-c0cmzG&-gm)^`E{b(~o2@6?#?4+%Q_>M-ihkbcEV=e|~C1eSm-j3-T1
zFasVQ3||{kMyn=V{&5g3e~y?;z01AE$eY~SImJ>BI{Z#h-8Yfa-)UCx3iH6dsmdF|
z_in0MB2DF`x)?iK1mbYZC9MWtZqvT$zV)jwhp(_BB8V<%BYp~FarRCJiYHqiqg!%k
z1TtD(z%laTY@pOn!P1vnrNJE$AMi1wo|yz*hRi#{nf5o?m1H02P*7nSJ9cUexP+s=
z{jwUwVLn9QY|4O~;c19tz0%l)tZr}K5!K_1d@8`IAt#_cH2=>ZEDKT>aD$(R*6}mi
z&@4VyjOtsrHJU0*6;6kr8oH|5`#X9Yh`+3AXvPzI7kU4gg_&ViKXRWgsxXg7;6-yN
ze9QX|W6U9P-!zJ|g*NhoU+jd=rX@%#2DrGw<uu65f_V5+Utc1h=95$sNBAT637~xI
z4nq=rSo6HYuNd?8{l`ds0(9THn^AS0*^n1go23egUUazJ!xXM6==hnai@dMmVfLxV
zIdCnV;9K{0P;sgrW@E(*q$pg>4i^q2=T+p6YMC9h#aa8x`Ox3r8cCv)#dxMlK9D<`
z@^vY{912=9qSM>x#&;w^Iu%f1=j{-M$NlMLCRx1^GG>S0Fd6n2V;q>q1W_&)*esQS
zG%!FuL*=ZvvDh{-X`)qfo_fflDErUoG<?Z!Qjv~{S+8{K@oJ)up*WjHz0}fXff<$e
z-~n^}yc`yiQimT0J`pD^THg&-JmR-+v`)+d(*rM!n0j$CQDd<+NY=!7&<ar%;d=ew
z2?c=?fbG~-_$^@6UqLekl&rIhOVEf=M=jZW1n}dK7~R_1>YnXGcN=RD4zH%7`jspc
z__70g+_=-lx0_HsZyX_{dQ`x8_wEZHA27e8(S?|kWvc6olxr1R*39AI;n@qeT+?BN
zzPsL0E!Ke`640-JrBgLqLY$RVxkd~PsZF|Ya?W1xFmJkoh$tfgDi2PGq<|W?J5}~3
z983*Fm%Sim-yv-2baA@V#u4<v_yeP(6=h|<r%PUSBZN|ZFpdcjV1R)U4h&ABlKqn>
zkW&Z?{rG&{i{t&|4-jI$I9l%q<nWCuRA8G>qd<V3*Y%YjWLd1Q*V>G~yZQn8u?T$N
zyQ0A$939>2vK9uho<OGqYXD-Y`GtkL7Hy<4Y}81c;LfoqqSBIjh*<_F>!|oC)uA77
zD^S>B(E2*VO9|>NNErb7$ETwTUQSSWAO8APTUBKUvZ{aUKrm1P)kHu^xiB`ClS+xf
zf?ak$kH5qv=n55$H*FW{Hh}yoG9%^lUO+m4h{#Q}mymHKzyRuqcP%ZC*hv~18bFvg
z2gzbk??K&ipN5N$ZUq!$kLv8Efwja~=K~BFqWz#sg!eRHcn6S`30(aOs4CVD`3IPh
zzP}`q3v;#rE*HK4Km;HcIu7W3K;CliHkJVC_U`Wb@i}}%D!jsgiUbXop~1nOogHY1
z(}v(9!jl5eJo3{oFs|SR2S$mKgk)x6!DnM2`PHje7Z(?ikysy`Xt^13_Ea>>jho<H
zZfB}nczBKu4v><%4M6}v{q}CS&e?l{6ak2f*VKkGFW1hX(0uXd%mqD|2a0!?G*D7Q
z2L%TY(<6tOgDwuzhZ|~Yo>UpY^a5H6a7b^6*m(8P)5|N4TC5)E8XF<7u=a1bG9@Ze
z!6b#)lVJSjfa@#3yd%`XvHLyM#M}1AL_TDeTm(oV{apT@|G8+sTR0Xb!8t(0e;2v|
zxQBEv;n>rY6SxpiJ-C#DI9Z3zfQ}ax6+u)3U5LGd1Ni;t|KX4jp;F3|OG}US^im)a
z%g9I+YF?O-U^|9LfqU%iyJ=6e#!qXIi!d9xh;9Funs^NKD$spC1p_z4hf`ClF*1oD
z-S^xzn3jYZ#Lw3kV0Sn={FPVuMVdBvq9y$Q2yf43X|N^-bIk*C4fUJ<UvK*Q4xsr@
zp|OxxP*|9ovpv3z6v!XO!W$G6gz8-gq*TmWBOGpB^Y#EH8nj6;3}j&|!iW@b!es?H
zxf3r_oGu_>ATt^u<9erM|NTV~P)C3H@&y!@@cGo<3TvJ|MbV&gHf4ou177fGhm67e
zf+9ajIlrMnNV*8lnWT>gK^<I9Kv3}F{2WM^ufxM1AXeedot&zwc*rYRY&-;Iz{&65
z``g<`|Kw!&ZDo1^K5b-V1j1}Y_RgvfW^QdQf38MRGfRv-4EvH<A*{__NL<)jU!R(v
zhr}wb#C~`b7#R4#P(V-sNVnL*`RwQj=B5h}djP+f3afxXy8)@gnXLIUzQZa+H^doO
zLi<1i0z~))J{#nxK>!9~OMzCxM&|V4CJ^dZZ#+BzyMFodC4@+$-M9gP+1QJ-6iBD}
z^w=cq!oXNS$Yz@ACPe6?p#(uc2N`G3S`7{iKtTbF6np^_;_B)O{Viq4nAkz98%UKv
zaSKbV35rI;>UAJ4plmKHDuV0;E*2I<91z6IYilPC`01A!@K~rjer;{?yY%GZs(=78
zV5}cPBoI(ru3lc(h>{xL8%*zsiHQ*&1VDAlVEzS}7~C5qS?|DNzPz{qoh$@9+&~FJ
zrX@krDE_RPA*e<lZ)s`ys>dQ^?2%JjGIYWd6GtbrrVJsT5bS3+T>?UR`Vd6Q^ZNQa
zaFh`D3q(PcfiI}B;U?gJyTn-nMFTIj2w;jsmVngBLm{CCkRsyHy-%+qCnA#Z#k_g5
zxTxs$;0D}GBgiAe!^0aIyqugW;^J<_uKjb~btwp_VV{R*nlQM5h%{$mjv_&5$+iCS
z!C?UW{5mJ2&~wTQ%prpN|K9S2$)S_o>4z*MlL;>YS9f>D@>qO&ibhsgGx~r7_|l9q
z*FrW{$QVSF2((d|6-d?Mn%Vfn2qCt7zjQ=cBVY&&StWphw6#&sT%x4lrqR2>_5vRn
zHk#Py^|S$hT;Q2|4^T+Sne`BG^Ml$GH1gY%ud7Tfs``M6`jrI7FS1xhszUw?`Hq^p
tdKN?kWF6hmxNY+v%tKK9|AMbwN&cK=KW~4m;Df;1l;qT9%cad;{vXQR(18E|

diff --git a/tutorial/figures/wf_8.tikz b/tutorial/figures/wf_8.tikz
deleted file mode 100644
index 3d17f12547..0000000000
--- a/tutorial/figures/wf_8.tikz
+++ /dev/null
@@ -1,101 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (-3.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (7) at (-2, 1) {};
-		\node [style=none] (8) at (2, 1) {};
-		\node [style={wf_red}] (9) at (0, 2.3) {\small $wf.x=3$ \\ \small $wf.y=3$};
-		\node [style=none] (10) at (-2, -10.75) {};
-		\node [style=none] (11) at (2, -10.75) {};
-		\node [style=none] (12) at (0, -11.25) {{\small $wf.out=45$}};
-		\node [style=none] (13) at (-2, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (14) at (-2.25, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (15) at (3.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (16) at (2, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (17) at (3.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (18) at (0, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=9$};
-		\node [style=none] (19) at (0, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={nd_black}] (20) at (7.75, -2) {\small \textcolor{blue}{sum} \\\small $x=5$};
-		\node [style=none] (21) at (9, 1) {};
-		\node [style=none] (22) at (13, 1) {};
-		\node [style={wf_pr}] (23) at (11, 2.3) {\small $wf.x=5$ \\ \small $wf.y=2$};
-		\node [style=none] (24) at (9, -10.75) {};
-		\node [style=none] (25) at (13, -10.75) {};
-		\node [style=none] (26) at (11, -11.25) {{\small $wf.out=28$}};
-		\node [style=none] (27) at (9, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (28) at (8.75, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (29) at (14.25, -2) {\small \textcolor{blue}{power} \\ \small $a=2$};
-		\node [style=none] (30) at (13, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (31) at (14.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (32) at (11, -7) {\small \textcolor{blue}{mult} \\ \small $a=7$ \\ \small $b=4$};
-		\node [style=none] (33) at (11, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={wf_white}] (34) at (5.25, 8) {\tiny $wf.x=[3,5]$ \\ \tiny $wf.y=[2, 3]$ \\ \small \textcolor{red}{$\mathcal{S}=[x, y]$}};
-		\node [style={nd_black}] (35) at (18.75, -2) {\small \textcolor{blue}{sum} \\\small $x=5$};
-		\node [style=none] (36) at (20, 1) {};
-		\node [style=none] (37) at (24, 1) {};
-		\node [style={wf_green}] (38) at (22, 2.3) {\small $wf.x=5$ \\ \small $wf.y=3$};
-		\node [style=none] (39) at (20, -10.75) {};
-		\node [style=none] (40) at (24, -10.75) {};
-		\node [style=none] (41) at (22, -11.25) {{\small $wf.out=63$}};
-		\node [style=none] (42) at (20, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (43) at (19.75, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (44) at (25.25, -2) {\small \textcolor{blue}{power} \\ \small $a=3$};
-		\node [style=none] (45) at (24, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (46) at (25.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (47) at (22, -7) {\small \textcolor{blue}{mult} \\ \small $a=7$ \\ \small $b=9$};
-		\node [style=none] (48) at (22, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style={nd_black}] (49) at (-14.25, -2) {\small \textcolor{blue}{sum} \\\small $x=3$};
-		\node [style=none] (50) at (-13, 1) {};
-		\node [style=none] (51) at (-9, 1) {};
-		\node [style={wf_blue}] (52) at (-11, 2.3) {\small $wf.x=3$ \\ \small $wf.y=2$};
-		\node [style=none] (53) at (-13, -10.75) {};
-		\node [style=none] (54) at (-9, -10.75) {};
-		\node [style=none] (55) at (-11, -11.25) {{\small $wf.out=20$}};
-		\node [style=none] (56) at (-13, -0.25) {\tiny \textcolor{violet}{$x=wf.lzin.x$}};
-		\node [style=none] (57) at (-13.25, -4.25) {\tiny \textcolor{violet}{$b=wf.power.lzout.out$}};
-		\node [style={nd_black}] (58) at (-7.75, -2) {\small \textcolor{blue}{power} \\ \small $a=2$};
-		\node [style=none] (59) at (-9, -0.25) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (60) at (-7.5, -4.25) {\tiny \textcolor{violet}{$a = wf.sum.lzout.out$}};
-		\node [style={nd_black}] (61) at (-11, -7) {\small \textcolor{blue}{mult} \\ \small $a=5$ \\ \small $b=4$};
-		\node [style=none] (62) at (-11, -9.5) {\tiny \textcolor{violet}{$wf.out = wf.mult.lzout.out$}};
-		\node [style=none] (63) at (-4, -15) {\small $out_{comb}=[20,28]$};
-		\node [style=none] (64) at (15, -15) {\small $out_{comb}=[45, 63]$};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (15) to (18);
-		\draw [style={edge_lzinout}] (0) to (18);
-		\draw [style={edge_lzinout}] (9) to (15);
-		\draw [style={edge_lzinout}] (18) to (12.center);
-		\draw [style={edge_wf}] (21.center) to (22.center);
-		\draw [style={edge_lzinout}] (23) to (20);
-		\draw [style={edge_wf}] (24.center) to (25.center);
-		\draw [style={edge_lzinout}] (29) to (32);
-		\draw [style={edge_lzinout}] (20) to (32);
-		\draw [style={edge_lzinout}] (23) to (29);
-		\draw [style={edge_lzinout}] (32) to (26.center);
-		\draw [style=grey] (34) to (9);
-		\draw [style=grey] (34) to (23);
-		\draw [style={edge_wf}] (36.center) to (37.center);
-		\draw [style={edge_lzinout}] (38) to (35);
-		\draw [style={edge_wf}] (39.center) to (40.center);
-		\draw [style={edge_lzinout}] (44) to (47);
-		\draw [style={edge_lzinout}] (35) to (47);
-		\draw [style={edge_lzinout}] (38) to (44);
-		\draw [style={edge_lzinout}] (47) to (41.center);
-		\draw [style={edge_wf}] (50.center) to (51.center);
-		\draw [style={edge_lzinout}] (52) to (49);
-		\draw [style={edge_wf}] (53.center) to (54.center);
-		\draw [style={edge_lzinout}] (58) to (61);
-		\draw [style={edge_lzinout}] (49) to (61);
-		\draw [style={edge_lzinout}] (52) to (58);
-		\draw [style={edge_lzinout}] (61) to (55.center);
-		\draw [style=grey] (34) to (52);
-		\draw [style=grey] (34) to (38);
-		\draw [style=grey] (55.center) to (63.center);
-		\draw [style=grey] (26.center) to (63.center);
-		\draw [style=grey] (12.center) to (64.center);
-		\draw [style=grey] (41.center) to (64.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/figures/wf_9.png b/tutorial/figures/wf_9.png
deleted file mode 100644
index 9a65564ab23da6b89cb18db603668bcac0a699be..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 25933
zcmYhj1yogC8#Q|9M!KaXBqgLn8YyWIknZko=@Jl-Mx?ttr9-;AySw?<``!EBanBgQ
z0nXlg?X{kob3SW_eUX<$LncCoKp<$+QesLF2oyQ^GDCz0e{nmgoB=<O?4&duArKVo
z|GuCgDQN@{2suPr?30RH+EKczw({<6pMuCQeHn-`L3a;4J{`GDM0f%B81Glp+UsI&
zi&E$Eg{FFLhS01m^7o>cgiwlKKE8+67yTQ|YTJJrvq%<25C_rx{^)Zr+2DS1nbz%f
za=GL<>WCiQV*mvYA8bb+x(N9l*tOnmEwT#Je1wd=k52&McfSx@qPcpvGm_3=gPnuW
z(ty^{@xz4GUtbRqQ&uld#K-65c(MM^pFiU4+8!Pc;5{}rHhABjtGg6<9n7NJMomLg
zS65f2-KbOmgNu)^_4VslEiD*f2?+^zcOHn5scC9T3NJ6O1AkDD0UR70Au%xnJ^l91
z4*1-`-kzNm;oG;?R#qh?C6Rrvp3<D0oYS+jz86~qzdjg#zw~E?u=<~GU2G4%KCZq-
zlkij-^dRf=Q6s?yL`I@Q(s-RM9&e6KOiVmHJlbC#igR;wQ&JY{kHIKN`Q65*rgDD&
z{@{ADR5k?%nJw2XFD*U3a~%Hl0UQ(`ACKLe-=T+qO~7?<cnFT@H@b)-<`UyM>5U>D
zFk*vLXfTS4iyIqnmwkP?+l-maliMtN3J!)>SD)3aHW?TkgcjD&_!Sr!m?hV{hDyU~
zV`O52PRJ&9wHf`E56}Dj=2(lCme%R(VR%3QG<@I(t2tH`q1Aw{^*n{lvYZ@P$o~Gm
z5u2utj?UUgL%SRyULH1fc2N-#egT1Tp}>FuLEjftNVDsygl^Usx}SY9Wc9VR0=_S4
z14b?f)b#ZG_m{is<=>bX8Bx*DS{=5L13NLYV(;(oZ%<cQ7#X#zP2|+A&)mEW3@GCV
zR8&<3e4gCI#o_u)#3(U!^ue0ZynC0Nnu;<ek9u;|Oc>c?u)Vb<o5pQ_I8%B!TaMtj
zwx%}~!Rm3f*VNP$op^I|^ZWPjk&zKKHMMl!!jck328L7t&zr80H@2&7t*)mlwU)C@
zjg6RL-O(RW;WtOp`E-KB8X6nXNVtDQqz4BFQ)BI~cZG1-t~~AMXL2(`gUk6mU#mO$
zuyb-=-`uP;IWr^)!azf_CIyG?yF$bG5we?np~La?^n}ncF(t&uPfkt2La@S&jEuTh
z*tocoHnA#8OaIN!6G8-ip7!?kLc7*&R$Ar@(PE{Z?sqdit*FsMl$Dge)>$PtH#g_z
zzO%5VMMgnURZ$tc&Zw(%F*Bn}LSI~56crW4XZf~d7|-e<+>T9v9ul9F<a>MamI&i#
zN{WSvNpPEZ{v-k_!Pt15d_DsmT|q&C*J4;%88f7&t}ZV(*WJwxA}lT*l$eO;ncCai
z>v?-pTVL<U(KS7dd%UH^#>NIF!*ze+o#y{u@80ERXH!NqmFu<(x*TcX<KshwF~n3=
z6NV68FSbzv$d_z)Sz+bDNIrl1<lojN2myvgL_`EF?Ck8E&$(DXsV*xU+1S_^9Naq)
zPit*$4cs9wFR!Y~0o;j_(!_8w`}}`iR;pEBhEO*!Gz45Qn=~RkJRDf>)b6K0;}@5g
zd{1PMwY9ae^*6GzvSPHVQzNzlkMG{SBk_JF5XsF%wi?eCr=Xx%SXcn2Qdn5{;ll?;
zJj;#lup?^+M@Pv>f=-|A*;&`^!36Ms;C^UmXuzfA<>f~+g={S?foarbSrPL(?R`hW
z&JgltrlPvspUejalf^4($nxJhoj+L&{-g)jaN}=lYg-u}wtBeQ-#dT2JxxkVV$p8+
z(W*sANC*Q1^NBF5la{-1^_O4Qx(A+|?^b`TYOz|_kt88Lz9cnPyK_NB{I6eTCMJ0W
z1^w0azkdBH+YsV4v$DFny?y;CVtlgHsPtNlLHIl_HyUrfSO=mH8v&|x^A;Be$Jrld
z!BqWFh^!t-MP;S5f`V?VM{Q`IwXN+go3o0F$`2`OpNIRi^{xWNKMnQzl^UypOI;Y;
z&sU_8d<<$O7|&V2JM{JS6A}{s3lMX{GBU;Sf2tVVn9-rgK{R7#9_j7P^Hei%!agEJ
z{lh*d@C(wJ7)n4O0*g%mAB@on8|+UZ_P>A|>$ARvQIF*PrtnoY6m>tdQ)A;#?eFXG
z?Sz?NHO#bk8r{#CGy+oX9o_x$&I);?neSz`TE-g~jKZpvV-&or&^>F&(e$9P@#aUX
zq4efT^aZ%_1yGKm{wM?@$<oz)SfF%~9By5?B$;w7AB~!OJKk%Coux{Ujez~@%ijFP
zkGEF8>E24U<Hu4V*dz2<2jo;_*6J?NNU=Yw=>7c@yW-}$u*_+1>A~*pJQiJ(`GLFo
zgYzFO>B8Gq{ZLY?FgiWxL^#H?Z{!%xP>>8iUCcI0JxxDhk1h;>UmdX0DGEdbKXa^q
zGj#~oGSx`u<#1$jK;48<u(A3hMM`)W-rbxL=9?h4?1Jy#ZQt1Da3QytqUwX8>%lUj
zXkfNMD_}gShcn?kGK13vvf_mt>7n!pBGa%!k+<|v@Xd)-vIHQ>LJ)23`_aMWvD<e}
zYMPG`cda@Jun=h~RxWNfv_vIE*O}1g6={oOzH+@kf3J31JL-p2qCWM-az)qo^p5Y8
zQ9i(6SiundrYl;CIUh>U3WcpPYA(6pt>e8MxD?dNZG@oE(Tvde*z{lkt`CLxe%f*6
zn->aX(}!@jJh*ocZw_@vbgXCnS7x{JD7qHi4KAzyHEbm#`g|u|xHp_t*c>*sQ4kG<
ziJl!)YG+fF8-B=9<h}WDewIQFM@j=)=N^`<-ZG31Ntsupl6His%NcA-YE0@ZDhpVj
z%FtK!iF(9UQk(XnZw_@r?_+<CVZ65|4(KEV2l*vR{4t$iO4JNp{83(^Ve)A-#}Gw)
z09aak4b|~C_Le2DrEY6Pgo>c-?f`ep`*%(<1sSCoIdZyhbMA9+X>ojAPx!#e&T;2Z
zZ^-6HtLS|d_mZ7%0=Mb66}b41E$sX0Ot-|h!p3@;!Og@W(Nw%jHKww8ESsTGq1^<E
zSyQ6N99q~*O;HfZ{`e`fzx<WXp)tkDIebf7?g7J~cwE+7&f40HNuF+oBu|<eGlcgI
z?oB8o4Z|{5Yg>)a-)JP;k(SEK3Y1k$!Rt8{LLNfM9l>2?TTa`Rcj34S)lD_B0g6Qd
zC%gQ=FO>8NZ7gyvaol!S!kjR*`qd%0t@MKt{ngqwg&#FaDT_BQt49xvoZ&cwE^02$
z7kgca1SW;5bL(<TD@zl`Eovt|8~+IJ5X!=mHb42-7^5z@vn%mo+h#DW*bxy~_Zbqp
zAjTX+7RoCIqbl8)a)sOdF_6B1o?w(UFLyH7hs&uW6bjOj_2DV$j!F)3A&a~&t1c_?
z6@4gf2y5hB#jDJ<ys_=rml?f1GmY~~Xvl@(1(fijZ1d)A4yV$PS&<^GGn8;|SEQN*
zLlgHD$4uJGtWy9qR4Yk;@gSGl$7}&mf4Hl<!$*BEdiW7A7a*SwT-d49i8GROA!Q+W
zl(Z}>uVXjl0q1Jp@ocvt-oD1EZN}%V^s%O_+Cpm$_ygo@XP6j*xQaPqWt{zww~Pk1
zryN!dLko;3w2j$Ym#BrA``p6drrHWZ=b?<_$PxU>5F|1+@uh(V+1KGE{KoVA&2~<z
zNukTGe{XDATB4rW>)LWMM&B?bgv#lK!{7`l4_)`})0@-(c0^Q6?YA;^c}jXi#4e?(
zo3Pm!rj8B%&-b<)`^;g`;po)}xBatxL3X}UhLU`Sm`$0v+KeJR1P%?3<Yo0hzs8AZ
z;QLhJ=tl`HdAE_4#mkrH>PjX)>ct0y!-FLY2mz~=u&6oA!8^+2xX)NJjP3PSh1QB+
zlnYp14%FXK(Ng6zs>f-t&DpamriR9^7aI`@#Aje<urC?AiJAwNOsHoD4Nb$!S?H!~
zEe94$f3oub-PI0_{X8x99y7JWAi4*q2miz3ufmnWi}x4*tt(jgtL0GzAxW}m3EyW%
zJcce7Dq2R`TXAN{R@<;#TfBCx>iE7%pwZ_lZJU7?+wLXIbognKBF$9Y)JIBn3HjiM
zl)*B(ue@@$Y2W%X{e@tmJ3!oyq#^!YjWF?@I!&Qqq|~S7!d}ae7*aD;50*X2n@&_A
zHa0$1J>J&ZEI~a%Qo)?gGIZ`O6r>ie7HJnd<$da2@>Lo>Pdc87j^b4wV!DFGg{6^^
z@!aZ$1Lvps1<8|`qmyY^$U*qQ8Qbd%wU`%YtXj9rn~%E(Y4VcD^g%~SqblXTECWon
zOg**{wX!u=*4I#e{9z^XYFt_dGy6^?q_k8lFxum6;|@!kh>*MpSw8eSs$=O4X>Jnv
zWvSN9wHCh1v4c-Cq%5CeFmRAS>M=f*Q&hGeseKjfDT$~C7Nn5drCwH29GQ`=UoyV0
z?L+XeJXRv9nVI1gry9p3{a%st&Q_2%ISw9`xMQV3lpn%sHB+H-I`t6u&>P-cRz@>Z
zT*CK)`b1&3lI{-40^WRQeU3Pbxi>AANcZTry@|v}16iDg)lth*kAK+kxU$I3&Y$=)
z^TUo=|KPk3%+;xF3j)N0ruBXPphKgvt5AaqMHx}}Dpnm+WQMqHk&Qv6hVg*0Vo0_H
zilru_+S9%pUWB+zzA?N}l}5?LZSJ^a_F?!T@H1FWr>&R%zYQWcRB>NSs<@ntg{q_O
zZzdLJ5xzzA6#0b0Htyqc;>xTfWN{IrZKL_YT)q6t67EMD{j^L0A(#1STnl0r@}0KX
zc~=fh{8is!HQB!RGsXFY>NOQV)M(a+NK=CUPK1az(CL4)I}Z#nju3a62_#bu=K3Se
z1UXcH@=xr)zK=a_{EX{*YQD@YaSzyjk4yEdgLji})b(b2-rE)Ayu_(*M|#kY$Q(T_
z{;gNt40_VXJt!bRW5|WOj|aZ1#Rmtxh;q>Hh`*`(f<rZNV|ei4Z<!GFH;@e)I$+_+
zTS2Y??=}Aa?|<xM;$%wQg5tm$#TsN!4juYnv%OPj%N#Bx`7b%1_WjYDr_mZpo{AIY
za5K?0tLZN4k^fx+jHX*kjgc~4o`r$o@oZfbl<`thQd(NX&F-Ke28htGFZvw@B04%c
zHCC7u^^Hk`PwHaps*l|`m5DzEVq8MP^;&13pC1JF6Tmki=x>Yu{4q4UJMCpvRaFH*
z5>ilFYHe-~<(HR7^F9HTo}cq4g}m<8_V&1KS6afbY2yaAY|wN>OV6FJbuw$(US)OP
zf+U#nM*yVp>4Ae5EyFA5bHvC_JuwN1m*?A6fE~e*YOAWi@I->9bSx|_tE;P(m6Z(*
z4e=Q@Dgg52<Ku(&?~}(n!k@`3XUP_uf{uuay1uyZxIUPkDpbywPhVhHbQbsV@$vHV
zQc{XbO<inqK5Q5^pCdx5VEIHHDy4@Q(B0Qpu2nxWGvjhJR~d-#25&_}mge$uck~S@
zKY9EBtwM%Tl4eI0go}*pXd`N3$UIFxpPeAGp`ihwZLg=h%1!bp33m2JuHP_WVpX-Z
zZ~5ISGBUoo&Yn&9)4}c>A0Mx;e=zKgbidp|av9t}kCFfwG6TS3P<}^6MncFBzD$KS
zQbDW3-Ry$8De9`1AyJ(lS>Uc^W^Dfo;JBcmpmZVMmF4B-m6dPG%8q}(BSFRncE6KL
zDJo+Ahec)p4nsgNH8BBG)ZEm>%fplW>(`lfuMEOpT#awvR*vSY!Fn};2~+$W@s=pc
z1%QM~!@dlD_o}EByf!MYv0tBdPIer`cm@hZs3q>CEk^ZNZC2a7pC6pTeB<LMAz{;8
zS@9aM5-2Jvg5nxXXzEAn6d~WXprG$N5BNBLu?Palwd$;pP*4_IJ?rc0?gFW?u(3~9
z+uOZ2Z&JEAU9^rlLM+}FFz9*iE4Ji${^J)=UKHW`M{AvPD0TBM4+q)!_2t=#_xbL8
z6JVBBFXq4KK_c#FYyO#;t6-u49%L-VPWb|xn3Tk2v(y0a1`iJpQp+W2ml2!oa+9i-
z*5lK?Bh<^69KYzG4S`)xhHoXpZ<OeM%B6lxPDvpZ^3isyS3nHlcRO3_4#RGCId*V%
zPH20@?_AwpZS{2RjU+T3NsFa(hVqMy90pcGBbOpZ6Ay0RJ#)-fc*qF89EEh97aB4#
zF#*UCN=nL&jg6Dlb{3UgSbt%SIx9^jB`gR5G4bQw9ilB`C3!y~>L(0WS67<&MvLk9
zgoLC#!aY*f*2n%Z2p@q%7!TpuFH-u9;d})P9<G49c^lQ9=^{i$wF%gcY}W@0L<eAw
zetv#{Un;ccL6!xUDx1#h4E`AR(cb?1fDtLLQ-4p-HgL*~I&q~?H@x-A#m!Nn*ECMc
zM1p@=N`;oQW$E1Z8>j8B%y3*L0hk2o@?4yp%Z-ltVPVpzp4fx{<qZxFCNb;81-$mJ
z_{qNon9|?hAIkyX>3pLHT$qfE3@c0&{aNrk<fQYVpb65kyxjWxxBfznIbuNQB3|XE
z{K@q6bO5V#Tihrp4xs&XeeSof_9p@K`tyZuqb^td$_3t#mB5Itk)@~@#)%ZnJ1D6!
zVVroE|Nf;UC+`3zy;NuCC!ep7&U-zWzz}CnDs=Vvzne{FGagCf@mANNdwF>QCum=e
z8Q;G$pUiXj^pv@n{093eEj=BOHNN-T`1Xqv*dDcFX&<c@wg%!Ko0=ec>wkkfJ3E2<
z;MP-Q!=#gZYxANXIDm#g`(t2XVd3C7?Tu0V?=a>H$K4S?{X`M6OZd%%#(F>AycP7~
zW+~UjxtG{23k?kwTo)1M#KXp(#6RuxpsSdgQej~!7mvV0nj!i?Nkvud`}$(P*(=@J
z71*h#p`qdC>3NIf{5y+ivEA1<b5cX$q>})(7vR;KljUL%9Z^%er3?%VBqV~{+uOlp
z;2{Qh-7dQ#ydgb`uz}%Cw=p*d7P}C_j3$uWsaE=R`{ab#8_X>TBCN^7`3jlgix~R$
zzz{%Cy%7iCE=&yh&6`uL7}X{wFu19rqW6W3*AI!tLy6Xa33~I4fAJ<rBrH1mzo^<{
zEj3zMQK3<9vwU;B*kg^@?qnMlN*)>%)RQ6Lnd9(qK>q%HQDNc!M6S%nN3kE|h-`py
zN@CHy`F*XbE}JR%+~E)7Z9samg6aYo6hNr$tKmbqd3ZpSQY=)lC#ICD1N@WaEHnKV
ze8}D19blZU!&D`>Ojuz*$;!#SJ{+=0NB_jf;UHq7rWUhkd8_h%dU~1@kT6{7N6RSA
z&TB`gWP%+joLQx4^z>)vRCElYo_w;I=zK1Ix$g*wyQYinUIk0E5VYz#vOcXHqDV+U
zAk55XkEdD1DB|K3h6q<CRAn(S3V^`b67oLjMcvulWCxt%OBOR^Y-R>Tm&6q5VQ@)6
z93`c5bNhuMdELI1O@@BFg@HVsBQR=0SDSWKn|@J+Oa0iH#FABj7!~E$*HxmaXN~50
z`}b^})d&$50R|$QhKP$>VM})9@Ls3ItujBKHn4MVI|S?F6EZ4VgNvOVMiD1g&%^bh
z>(LyA4FfDBNaO=2C+-?L100;01vI3f{Pk2%=k2c)5j8v`)2=FGyBo%=!rX%cy}d7E
zvmsp}P!KzA0yfy62~Z)2323m;>%c!iPCHO#`5U6^fB*0xpTbd?DXU9ILqjt#FyO?i
zvlM)l2m;<)5belydU`&&ao^oRi0T?0X_uN2Iy?2uk*Fl0A;ak?;o)mL@b>n47RV60
zJ63)VSbKX6LL`XrZ(%R~sTt%B0#DCJkn52$yYE^N*gt&WaoYRQz$O|N(cLY^$yp0X
zo3O<n8S#mU|0PYp5Z$&FSFmO&>30RM+)}gB;d~Yo>u&RY?6#IlI!i^10rdnIh^$dj
zQCVfr8yg_R1$dlY@1V8#zOlB3-j`*aTUY=Nsu{N&=Jii+FOY>kH02Zu*eKwuetZu}
zbA=1+BoOjxaWcJYbUWYpK_S|my5oleKAVw|0T@sGI{LT)kUAc1iv9pL@cM8zVi9@0
z%4i^NGG8HLF`RilJtE+9?pF;B#L?FELp~CSL}Y=yJdLK-q?VSk8OJ;PByBvD+ap3v
z$^6QuuRgtz0dZIc+DpPrr8IK?@MMO<Hw-q?`SM0arVcFNRHtVu4Tpk^GQz?J4yKDA
z_eAV(PnPZN?KkQ~8UR5>6xFN8N=>^8#n)n5vA1U?DJi+Gsb{X)X|!QwwFk+{p0Kdg
zN=)O2Knx7vKM+*$@<xe^4^B@bhllsiRdNs$KWz5(LbCGv%q+W-Q`Mu%bR~YHVr95P
z^o)(C@x8-P;s4xnB0s{mKi_DnsQhdwT|>3?hl7VlC#LDfndBzH2t$PQ_gDN(cx~3Q
zwxTvO=QKCxWcm72j=ByHr-1rh?7`vo+1*Vrye8yFyy3t=?dJLMu?Tapg|&71k00bq
zAHEAaI9#;2Uv^su(fwl87Xh^T|8tR^?rucRJ5~l6c3R2Ormt;T!aP)>)fHcY<kcA&
zRWjIeE3!pCuq(4u=#!%(aHLSihEB~4($leGW7nE<yd#oZzcjrbmi>3(kefo}zOHFz
zV1N}FOmRgI(&>X(^x%ppP5krIQ@1soshb<-IO7iu_$5xunK3gCd#!N+kapwZ;vS?2
z`*LNH0EPJtS~S^xSnvA!dS+%O`-6C#qWY;}Pd5fEMXc1bm=0uZW8>of($rq76N(gC
z=JV%+H?9Nx<Fm7;TK?@oNWgOA!6yav-pJ@EemyS98b!tT@34Td9sfl+5J|*Y)X<=@
zq~;X3v0(rhVS6nK-m9xCYW8uMH~xTIEG#Mt@5PZ0mZCN>H3bG{^CL5pWlCi3$ZEa{
zkhZyvjq^i8hk#z!5lE86fNfnreP6Y|-0T_~8~g3sx8&sHfB*g=pp&evy35eSzq?dK
zwq-F8LjClV*v1`oxW6A}l0_jJtf8sd>UCcQ>T1CKnvQ0any&U;yu!l4X=-V)=rnPB
z_z-I-1RMaHR$d!$>L8m01pLhwj{w~C9oOdeP?EqC<nQ-BIXgYQHDIUWhRDGXBy@BM
z%lJ!B{yzdb8r)L$pFeNN1ee%n`_p(FEi5dao}Nrb(h9S)|5pA3g(@iIn><{v_QwB6
z#$@oho-EW_dg}QZP3X4Bw$f5lZ-tQgVASJ21ssm}^a7QlxTuJikI&P?!$oNpxSpef
z!(0rw4Y?GKFhe0gc!Nj<2xfp7Qc_aVS3sV1b8@PQj*f0`7wTh!aFf`8DiEJpTR6Vs
z!d7Sy<e+BHaKyDrF%niiKeMABUJKL~neb$1r{XzZ=;CP=Y;0_R{K3q~Xyhvc=Jnok
zYio<!#Q_XgAyZKE>(>pthRDcBTjDzqE0fuJ{{G$QiNIf#SOr;fYG!66Q%H!CGCLm4
zo5%`&6JK8?A_+sSOq-C54Aj3<)6-z|sHmvCD=GZ$Z1Dp|woB8{69WVEV10Rbz!DIn
zeOs<J9sL`G0tB-$cu+<BS1<#G4ut%3H-5-)D%UBnfU2r0NEQ$$SXjsi2nw>ZtE}eP
zD7=-%yF~SXA!S#JUhE$XGF4_R8r_@oSTAr~^#FN|uT`8J<F4hMqn+K}&nn~541uFE
zbuFz$`TVDwMcbohjvO{UDF`m}Bhu=NAT^=lNIj4Q%+1YLNfkbS-e^;-&CP{NA8h;2
z4o64JwNCK-bHp*Y`33!Qf((-q5`uz*fiwh^2xU4PP)Eal;tsB1OP1v)jp<tdB}>!y
z&uV^t9+)UDF0N<@`t<lX5+WjjfCopCckb#+tqfcCu!ra6j$Cw~`-#H_Rzyiw)|ezp
zfOEht>Wn!O^EaS4f++!Py^@mBFWJ1-)@QI*DPtrCy751LRDimq{q^N>D2aun8OT5E
z?CfBoMS?7BZAUA~ehSvB06cS~^_#Y}Z(>4eiN?;a4>hl}R7X>@a9JE#4LN9HZf*`#
z;Y&;W#)CMD-!}WA-wx@q{#Q{&5#<8Kq4FO942ug3O&+u0lU-egOAYqyCc|qyBvBHF
z*vVsj!iJX*iT_&tKj)_Wb|-j;O3FS5at8`BGI!hb(vp>tQBH9&IGz`XL13*RZqE<b
zV4ZmvT6~_Hv}Rg7Z<+5bxtUKCfw2Mm*mL6TYk(3EXax!=QPhm;7CL%}qpR!a@bDHb
z^xE^|EhS1M1|m>oyzS%7VhYR4Gucg}K{$oH@kb;6SW?^_4J-t>1^|<wJWy3u7Clu1
z=JPlbeZJY}$e%P|^sU_|-7phbH}Ju(eY-Odp{J+Eh>b9$%f1CxOi~gkrRb#mpaQ#J
z<nw_K9G{!x_IbLal8grPZ$}c4-rFnT?d_fMj~W5|h<@`YC!wZ>V_-?C+c2ykKmYdS
z*)y8!j}xx|KR*csEXUB`;8^}6h)^<#j8J}HTp;7i$^8QbE|jpU>h$htCNVKF6BCoM
zkx@Wkpq7?ap^8Pm*9aaSUOMR~mjtUmur4etEL>dba&l-o#BT2H^NWjb2-#q*^?(YM
z2pI8k5MRQAIY|UOYPwitsj-ZWjaOUTLEi2kty@h?OKYpG4;LoS$<L=koTwi@`GACk
zL`q7!Q5OKi-{#GhyfjTIr>_2=(3Os^rmk*jW(E;fR*r9K@{o~1@o34($;rwRmXni{
z{@+VcaeQUvWzlLMun1mx<!k_}h%2+d3Ps?vFayo@?o!Kl4S4W;`roJ19YA5=T136G
ziT=O601IRkm7s_KnMW{Xyt4W3{vHU2@=I!Ve)ag{<KvZy?J66fs1c*AY-%Ec0AtwL
z+ys{fO9EbC?(l$&xv~=dKt0}A3{KL#0|F9&B=#-)4?tPGeSimIp^o@oZCzb&cehjS
zv0#dT$<A;xR;s0R#h1b<dgZ*(MdXn)yg87J@0O6kvV)Kj5gtA!1jJh4TwB}Q;0=(=
zfvgGw*0_`futRWxYx1Vijt;%!g<6uX%74Sd4U!Ehsj05liD_v|x2wLZs)4|E0eo<o
zRjJ(E+QK0qptE5R`=qU%X5_)`mpL^Lit?_mKSH)&HG%wQWV5pwmXM$d{yjzO{R@CB
zVAb!~#i36LBV}m-@9=qQ(?l^YGqYW<6B=Y{QJ3R|>BlBdEcC$6tjYbjLgqDgJbM7h
z;*zT*VS)eH^n~MX)MbY>G&Q{dVL0F@cHldotKO=hook3>4D7t4LZkO%9X0L8T^YTT
zlaurF^S>X(q4n94ftGpN>?{x_mJLKs@=N`6ZYU~=j^Cno4;(dh$R&&4*7o=52kuqx
zv3>zS10?#?)YKsBsGM`4&9{9^-vVG6<TN}D*Fc1>=(l#yyma*b&7SoNZ;%7l^tj!z
zCMMww0PmpLVE3DP)#&08#{m>}!2aUA3Nhf<*Vh5{0J2@{-<1^~0C5B81(m))Q1Ana
z89)VHR|hKSz_~#iYFg3!d}tVW$Rm99uq@)65SgU4Ys)W62c;h%kP7oj8l?7tEmxsm
zfQ<sy^pH>-DDkJTxEQ6v1#n7U_ZL7z_FR<FB7VBU?jH)QVk^-`iU+6c3x<WJWAME$
zSN?UK%H=0mJ~|r0Ou5zs2Vey|d;HlexsN3WOvg&ACy<vPMyXwZA*FKJ5)l%HEn)y#
zPW7;~*m?-Be*lV@cx)#4gJG6(mbs_r?nRZ`le)-zdVk57jxmg<XZ=p-z3XaE28Lq5
z0PJHDfXW+?CZH4JyLzO8L)N(2>(iwI$l3t8qJoUGSZD2dz7Yg|BM=l61VJoz>tdH~
zS&C4Y8VgJpU_==BEvdmAFawaJxTJ=Nih_cI6?O&K8UPjv05S%42&=lJQ{ZF>4+Gdm
zcytoC`wQcJ`P)>W9LL74pPsVVh{7TTcCvo_I5IF0Ym`Zx3Cb+v{~Sf@E-n4!T`L6!
zB0zYJ4%^{BN@8Ju$?kv(5m*)(xPo4&*aoO{a>&h30H?R_<dOLW|BAeL3Xo#SvUx^{
z;h2d3;SA545*+QFcH@~6O(3!BSf8I@1NLpYSRIf<>Px|AGPjALbbz%0!35Mo6ZKz)
z2M0ZFjx@!@zSo>6i(wdnnqy^U#oIm;FkycrqC76P!oGW=&+kir6T=E~I-FsWMu!{{
z*4Ea7NjbZ{O;Q8E-Cr2o={89Bk4rD$&H<lMuH85hG6g3f&wsGC#_D-vb@TMm`z=kp
zJCNeF>TRU0wCl3SW2FG|SW{DTq($WD;^N}ubmZt><xwRj_6frXDEN*$!+^-aERi$l
zTwTqSrEx5Iph(D4^a2%v_eOxj+1e)(blQ7`*0$W;!fGT~5h<zuRo~b2goJm(f!zV+
z<>dhZBCm@0kh#Uh$HzyR7ye-Ke!%HG7BpogHSULr8JL*tfEm4$U7$!76Bh?fM!HQ-
z(o4aiM4+eyh#yci(pKKCS8YQeLdF!Kc<4U)i%|mTKmwT27z;))xDOxBL3yflG`AK2
z2&ek`dcY#VKAaS)6#4si0$#!w^q~N9#?iy)O)q-7ysMLwcB_Z;Y7^Pz^)(YS^GW>y
z5Dfm;T$BO}tq)QGBi_)^kc>zhG8tJW0H>|)m%U?S6(AAl>gtN19x?~e>wX_G^gi?%
zo}H}+2d);OKt9XJfI<`(2L};0ASNazA|k@yA1X<EJKMigk5Q)y+;TpE2_VzP^br#f
z{7g)|881}|NbdYXfEo;#Xuy#G8-kn8XEn320Szw=5fL)&7Zy&?a=KwAVaI^d0yX+i
zG0Nozd(o>(#{W@|dca$tprF#1&Ovbn@Vc&UyH;)fJE%{1YgAZa<=<K<W2OG<x0ri^
z28~0+TsHh(cXqyN>VWbFOeC#y=c^E<R;58uWo0E`IMj`izC#6x5OP{f0fGjkn>O#c
z+^npu-@g^Vetpm82^%yF*hbj7x1=$dY{ucq$@7U!T7bNNcR+{|KY)sabbfoQAS(-+
zX7K8H3}Be}Ks_)!ZN+LeR{_@7#K>qkL!h~`(jGKu{bk6EAeZv;Y5}tZK*qmRF2F;r
zsQ#0wnKN*7bX31CpvM0F^M|vY9q5e$^d^tvPULqt{L9Nr;FmmJcV}%EW~x%G$+EoZ
zf@WjnCzedm{uRK9v$L~*i-yPpkU5mdgo6zC2?Oe@NUqYGx4b#!<z$$cnE3ehwyS~}
z5lU!iQJ|*=G|WJyP*}mbzqw%olK?zgx7H#7^n5kkeB$Eb(rt7I8Zdfze7rR^hk``(
z433VT`b#o1F&%?i3QRn}3qTbB>Gov)El~hDX#W9(Hb79o<pKRxQ(JqS2)b&D3kpKT
zD6bQQ9oLajAsDbczAsN866}JeJcDFTE-oSO2M!8~b--eHbJhRO+Or$Hz004chyn4E
zDC(p61U0CNK#;@5O(=u58?R{w%m6SnVCaBl1ibk{lo*uXfKlSlpQuC}1qwN37)>2t
zFknHJ;{j|+j&yvUeER#NAq9XW0O$e?EoeadVE!AFbN&7OUWapggopt+xVXl^4R>~W
zdwQTC>GG!KxEAK-VKdgmJPy=NBS69l`1&d94>1vui*pwZ4-h)&5Cgsk2ZJCPFGW3)
zA+QL_!V3J~;0%D^1TRo(lxS2!$EzWL5Cy6dP`^+TFwoNW&CO}d{ow%RoT@759Q*S3
z?JXs)1_FqL0N;YD8Ne@qz5%S$nbzDziXUKn|NgUr0stWv1-5sOTdSb(PaJ&i7m(;~
z7avDNg%lMRgRpB>MkFA?4}A!n1b|2&UI=+y_4oD$i&6g9ohD1e@cw=FC;0S**_oNT
zni>@~wF$EtP#J=%AFLD{3LZBfUkob&X46Nfo`|-u1)roseK_B-`TJ+hw*D0!hBicK
zrHGD-${jZYk!G)RaPae$vt*PsAz?DGOF+=DvscTbR~D<O&vuu_zC$LrEO8>o^Yx>H
zoADfts)!}`zs{(~Uq!DWG}E&sw-Kd=wtv18qi2Pf+1e&;ndwQ_6!!f{?+2RZ=^?bJ
zt0{<pyIWfz7iQP4c>V~@rb<*FgLi=FcteCqf|S(0@_O&c0we|1gx2UM0ds4Woj17;
zI2_PP#`BIart1&IS86P2zuPk<&OoS+LjQaq{+z)|->y^zlJ|oQezJVo>Tx}h)@UR9
zJ=fN(#8y~hwY0o+KuRHwVhwA<aA^t8`?a+>Dhh2>7t*Kkty3g_vP)FNcC|(G+gA$%
z{*u;O=U%hLXxDf_V^vNrwW%4SZKKy3pTN{dtlvA88$v|fz(G1i+ks$!Ml2|+qpYK;
zIxsv~v$=d%zy%wyl%$~R<m^;$y=r4>IXh(ey#|R9XjVT8MIQ#K@vw=TZBJi7uUnsV
zHI1ChN77zHE**1eigyp<c0Wct{CO8$tx_j@%7Q>69svEHj%tHo5du3KoHv7ar!BvV
zZD(pP(P(I3;x@n`P|BK2<d<YM6m<OR7e`sDJAILpGXD+ejDv%NriUqacX!`(e#|v8
z*6U_^WfR_H&6Gim202$w)#+q&GBP)~sp%<OjduOXyiCtJ*o2S%;}d3@G1X}|(jG{^
z02D+MvUW=2uv`g9AR>Zk^7L?a-u@Hv`XxJ4x7nq3a#L{q_(&L|dvy2Z#+o!l&DN=|
zdbf-r+DOUKm)Cn~Y2jc;$o2a<UC?HWT&@yeLNryhEAD6Idb>iL>PJCr+6$d~tS3F1
zzYKZAx;+_`U4R7w?0;=ptxnAiX!}_26PgTnnc@Ffca1h9pdU=jYU${>pKPt<^)4*d
zgE}qt(=VGY&y|%$0e<x7yGj1Of$uBM89$QSE*I{_Ph?!4>SWf~KpUYV2qtQ3@HG<M
zy0lNEcPDer(+(=-cm=ZG-TNjP#!d%7@ZKHH=z0yCpkaj|E@Sap9Mf4xkP0^9y;sN-
zcsvi8o;~G1&aIiFXQF>PoEwP}D%Aqy>!^WyBd|D!+uVcW27w{<TfLc$CE9pG0_?`q
zo9UWi*-l;&-fVvv85!&2-ebWU$AC$<mHcx_W#!4*YOd)7PUf`c{@o<TAZUghoJ1eG
zx3@#w_QVs(-j8p-2Z?7i+9^nkp&Qc#kgU84Sz5*mw4X|_tONuA=_h%wX1>RIJ;xmS
z2roCQ<)}Gb2muy;0fnO=YQQKsB&1xsc7pFLuPJYBng8XMv^B!}^$bckmHi>EK1#u<
z)Ol6cm&Jym4f@lM0p+~JaiUS(bL@sDh;XnlXhw1{c213mD2CKi<mcwe+uJ=^{u})Z
zv<ZTPy|&A%7sJCkl-&`eibX&plW|wE>`ja67ob4!eA?F@on?lH<t{HS+&(7$B}9b)
z-Lmn%fj$;i*}ORk2qWIT!;P2f3U<HVA5|*FuP#6C9t|bwx9Yx|*mpv~j^9J!s-2pG
zGtg2em)+TTZeCJjT5U0wIrZeTTkFVgDf!38<=~2SlaW$%P-^KL6&=1V7$d!o3J-B1
zb>U%g=(g@@C*k!nnhPDL1jE(%8uQkY&-rqvwDl+i=uE#-f?vF)=YXOW5IGzeNK5Lz
z{O794&BDscsz1W?zat7PEsmZY>ysPlZ=+Tw=viAUJqGIId#vFgeo3>f6&3xQhxK7r
z-9abCmIq%))7!^3NiksU(>Wh+%3y+do1i%&QD6y^Ef;UC?(F4kFWe^0YVJ{XG8^1f
zU=Kt-kO~^z{!X7XmEE0?;DyT*Q!*GMu#Wt=A{QiWVX-j&r*Bldfp){5%XWG9@GvuF
zp$j!c@`jASlC^tgO1nbMUQ$MG`SDg1FOQ$*dzl_9!496uia(cl8kT9m<emPG=tvsh
zq$<pQ3jz$l+N&0*;{+cqe-T)-ve$EaY$QSiE}lU9afA8s($v(}$x5VR;S|rLiCAVk
zGj&(P=IeuTb=l5qox9U*xA)^Mri$JUiA{XinFf!qoQ4#4A0qC4S|_B#E6lyfwTJ*M
zG%TvNhKL0ZNEF%Gae<SJx<c(I84Z?;E~f$^LHbxi!;WcQM|0yRyds3Cz~A5Gd2@+N
zshu13t(5Y)9&g<x`dw0fMz0c^|Dh{#RJX8xW-zA|O&)s8y@;KE+CS(pmxhO(Yj@sK
z#TJW8MjO)wCEc9f6R_JEo`B0XaJub;z}D`SDBvRXZ!qt8c=i3~&m|WQ$&a@`k9z9`
zuat|*{`$JHa81C5h5vkm`eiU5i|F9|0iI;ybLy|J&vlo(Xv8y@?bC5s#Kiay2KP=Q
z*F7=rgaW>Qg1SC^VKguB!B+H7&XCE;Da4<^sfze{RjcK5OY&8TUUv~Vh-ZHq67DM>
z*I(ggLYBZw^vTkKgh!<k4wd%(v$q$0UIum~173)M1!MD8{G>wKzGv}!{nE-bm*(sc
zul9|{?Zah+1N#QU;UPudvqMC<pc|IV(0R>4QAt(^IgL_vf$+I<o&z6tNX`1~F@ZTp
z&AEA&yhC;hRO9}sXjh5kbdMN1UCw)&cLl_RT)4P&8PATPpqHIeY{<lFx&F@{>Xf_P
z>H5^bWLs2O;sWr(UMmviv@eW_zrCNIb{b2SRJNYdI$XRWT1aH=%#u%M+%CQ&Lt0SP
zf5iHq-!N?+eHCCS{-sq{XkNpBxi~$onVZWd3p-O{>xNl2_9ccar*C+aN=2=IPR{K4
z*Slsr`#=Bo)S~~;y?@`xvg)+HVf^y%#r!!~D6xG1Ku2pbWgR}U@J}(#*Xgt~QdEd!
zYvhhX&M1M_^+vjh9E|?Iqqrq3adCGw#|Tu?H<Nv8ngs08%WwHr+QUi~NgiAv5ZQ`?
z;v%Z2CPrPEgzEXpz6F7n(;;8+ckdHGcAQY9{uyikCyn3nA~JlxdT)JH>dJw~qfy)I
zXI`uF^p)n7<u1Y@s#T?HQBl^w{$AbKARuxys&$66zMivWSP~L(78X%emUBi$5}O-4
z7#>+9mN4!QM(QBAJ~cdq*v80IcgXIf8u9mI42|{0yw$DSpw0Mq#%*T00m*7Zrxn!$
zptPf?v<IeR_%!9Uv5?>V^W`ITV-s&n3Q@$k-{iQy#UZPDsreT*^S*VxAEcC`5chlL
z)9ie?OwXq|ML}zM85!aaU|L6iw=h;$!o7i@MZMl19uR!T42~QP`pok#+(v#|o$N4*
z!wS|fSR!D&BkxmA;;Q-=D2Sgp>71;Jo&%Ej%VR#10;#~x<WXw9&C%S@tRa#nkD3;7
zTkLt}KeTH$2&*Bw0EY%~3<4qH%ppFE#Qe-hu8rv_%(v+?NYT^SB*jpAerl-!BF$Kp
zL(n)d*G^gsDecz*pQ}4+m}+_`S$WgTiaur)@1wjE(%sPsNW0b9$oqE<VfD0e)GU<c
z7k@Es_!}H`4bkIjd&d=`XTJQ=%PqCZgAX$7V9v~vBz;eg|F+Pt>(d~@e4K%Zz93gp
z4XQt@a}z@*oHC_ui}vQxVC%m{##;4L&L>^V)0YfnNGd*_VB{3K9D&|v6I3oUSie&%
z2Au6*%s05ULPgQ6Mv#sZ+^Kx~ueR)}hRV}WYu0%Oi;UAv5;kQ?<5aR`y1TPO4#x|e
z>@v#CXek8We@Xqzk8$dqn?aqhCFRc<aO0+;QDVOey9uxD0SaSy|3Gz##4OKf?)c#L
zx!cSdg&dVEf$iq>YImW!8df+mPDBKbQk+VoR+U@O;`3wrP>FOYKBhRMfBWu;u34YC
zgL~D|LO5TG!tq%qCnYNl=e>@obw=OJ>$#P=zQM!Oo;mY+3#K$t5JwPMnz*8Wr}gRx
z0>!8s{3D3O%a5+s%g-oDAKPCHE@s6QRi=Tkw6JSW{ou^;_{ls2gkGyk%^5?*Bu39C
zx-k=udc>2h+o}ZB2IMBXwkLh6VH@q+t@%j#d`rxPMuZ_+9~HU#?4@3upn0LjhWiUe
zr^|u(EPHGTNAoYg%D<@6ztSuJfEv^J4S*Y~7GI-quC|^>orfkAB`%<^=vY{G+XP8W
zXFcYtzeY?kLwn-jCa6rqpGE#ae1r5n&=cjEs<XPAIiJSFK!sdQtD&LzP4e8z<=^C_
z2}!*O4}4&%?UDki{`+hX%$xXL$+l=CA<Av&F6=WgYXhoQMI$PZ?`4SjV$u5EphvU2
z3u+dX6cFf3;f3*deNy>yg|c<L+dtg@v%o^)CY}cD{HY>~b?}GsOApa$(rxMwE-o+U
zVkdi7wSM<WTuy+BD&8}71z`c1<Wj%Oy)KzuVZ)+O(EB0sSpn=2n-6=U-;3`LmXXFa
zy+f2#QJH$rP~1@8S*a0NLtR`KA9l`qg3Xff*_aJZv#R8_z_RGWVmq7k16(l81Fq(p
zEnhsR6J5;K7s_6<{<FdNq|lynVaLXKX#QPR8)q7Y*bhbm;{;u_fJ-2&Zfi=BY43pO
zeLqCBz)|HeZ1qmf62l1^Ez$zJfJm7Z#Mhhl@Yws#`*RhwwM%U2G{F|3;d1rOXA!*}
znc>wmcdC@i-l*#BWvQ*bgEKcQjc=L*t^Ruh4C|OXdHJ;Vpmd45QD->zp<s3L)ZnAc
zj&QOV<Qqrrrj3e(&#21W;8x`5JyURTPxAMD+btQk*EB#Y`+cALyckvxTmz!FVM3YG
zp=)SJg&8@))aEttcj#<RNtlQ=D_adG_T5t;Ek?sGgeF!BHXyBFcpc>{&szjt@9Ad=
zy=>&C>B&ik_c`HuSvLB{<^!!z((3h<jhf(k16^aLOT-vq-7J}Hp}hnz`#%H9+7V@c
z0?imsWVHU0k}(wPa^my_jfRZ)h<#!ekOg+OhNhNUUo|Pn54i(blg-u`{vNT>q_<W!
zBGqGj`zg=Nr@!Xil^-{9ie|Br)B=@~awPc>(ea-X5Hdy494Yo2Iczj*`1srk<i(C-
zD7YJ+a!0ADVUghvRC{j?=>gs5#F|kuCR|<~>xX|DlDlZ~-B5}%ExLFAPHFgP(7ny&
z?xoeuWF8t%rX!rbP7*(oTb)B^3fk)H)6g3&VnTkAfR)~N^BTUmCgiHuoehETFX7}>
zK3&04Q!Q2}xk?(x#|i-_mX>dx&R+fnN42{!5Eo)8-q#DgeEuA1X=7ejwZ7ikKQQ9p
zsMXER9s=4Pjw{yEht%wC)h54?5nvZesFanI>Ky*nf~1FX@6IpG6b*BJ!QR%?9<I`9
zVR!Uuce-CjsCQ3v>c3BW<Y6HG^vmL)2s__}CF1O)t9>D|^0V}3RW(I5N{8ySFjguN
z-R0NaVh*%tssG&g4W1yzr}c!Mh-GH&n+@iQ4$0fl!NJYre14y;X=$BIp<G|7hd~~I
zz|NPC$|>!^4ncVIsidU%{2iaF3Zfz7tT)o<tG=frlO}+4GV|A>;hg<BeB9S`c`@H*
z$wklb{>5XPu|pji#gkZp>3Q(f)WqmW?_QU>tTMyL%L7?jXH(j0%67<i%VreZcbBW1
zEp$b7wN|~)af+Ofoq3no4@X+&jCOZknm8q8)u9(PIcMv+NxK^=?v6%ghgkI=r`!hY
zy+uV;MFkZ`H!Y_P#G?QHtybuZ<_A8Tg@w|t{liNQBR`w%?xtp4BRjEHQd)^7HC&yT
z$S#m#WO+PrrKb}8qM~H*+V}E`206tt2q0Z0&M`IPAKqGCBshT)@ZK;q?NdLid<@?n
z-Eg~7(^UUc%(M2q8}lb56;Iu(b|o<>K~+h`=#}=?Sujpgv7Dq-A~`Ok<>klRh%>$c
z4X5ikG?&kXJ|-e8phi-PESRkaKbw0z1VYFem@L2VS6I~ba+7#jSH)#xh437d?Ft-@
z^S6jW&K``fh6&Tf=VDC2#?TD&w38&}qb3Yk=+1xEiWV1qGKb8&iSv$lxw$kSxi|~y
zig9rjot<78h`EgV?O?jfy`F*e@JY5;RMNzEB+}<?O7e^TbFXfrhSFChGaLO8)18l6
ze0=rymja25yIAbo2dwlTIeGS#@km3;%Zeu_A8cEX^~}4Tcu8`Ug+^R%DhtVw&9{rw
zcGntbm_1)Uj(9W0^jIJWJ)If)of<O7|H|kj7Z7cAJrAq72p`p)hu?a&k({2IPTO@E
zxuRj1oxj%os#M1JC8U{9_B-KaoWuQ9t$bgum!u=@0)aIb?a~u{kZWD!H$bqwC81fq
zj>5PRUeeqb<YYV|e8qitx_loJdoM1POL~`+)ne7N8ZyCl?|e^*XkcvZK5$s#c3ZmC
z;$@nBytTc`a_ZDV#)JtaoJhxza;#5{WghmJUGYQmFKH-B;lL?lDPxmrx%0rqDGUF(
zDF+wQKe`o?^EUVC>P!9(IB0*n<D%U#Z`vSJECo<DLO*9Tu&mpaFSf(NLuQ1&;<saq
zOZAoMx_;w!{8I4Z!OV)eH5In(YO{JYqY3)R>V<B!eXfK7f&t@{m5|GA-u_EMLV|n|
zE)y~I-3V9V>Ev#;$vJgXsbv*u*sZD34B9tLY~$4PW~tHn8?2%Ckl|}{L=xlCC;ypu
zCnpN=D>y$R*89R)lZRqX1neJF-i&w?Jzd?kwf{mqm7Ig7-F38ag3T>%s(O~!%Pv8w
zyibyw&x})w7k~Shn(}m_Bhua0>U*`O4efvSp7#L2{|KMo4f{u##2;UmN;$0&!0zRd
zNmJds$MCGEjZbo_*Xyg%?a^M#s)0VVtPp})8x_qey0S5FYvOKm89J6SGRWerB%cAn
z1AZYBygIf=6T}L`!60b3m=p9dNP+FSUh9Jid2=j>)&_%sPX6y$UqKgf?EMKV=1!+h
zUzz91THLoXA>_y-F+5FeN`K-0eyLaM$C&Bq>^Zw0u^+fHdDPU@S5;LFt$|$uxT~kl
z-l|`M?P)34pT$isl2KZ9<X78WU#F`JrfvmF7N>O3PX+7jyGGHqPYE9Xbc}WA##+Cj
zik0HB(blOn3a{W))6v=IwY&l(wS>gh%59zd5S~u_`k}&G+#CLzjpbBbTWwU2my%m!
zTO`=OT?j9p{5L3ChJf+W+tptj$5vz1?QAvn#UX%1&U5Ec$~1It9&vMXgHDEWr%cM0
z$I7WKSJHOIuu!*w=YRz!bP|CL4%eHwz;-0_VuHU$FUOao*ZpH}_RR&(`s}`oQ6}Id
zJuJDoU0%HPce-N&{8}--wMLy0oKQm8L*ai2B9wcxyzV1C3(M^8iKg$W7W64U<JNeq
z?}&t?_}8xv%xn{eA8qFywvP7U9(`~dbTLc4%k-@7E}V@{cbQ!fVgE*);WrU^ylPd;
zt@-q%jW%k{zC3iCQj9jD<ob#`IQ_pH8Ub?_+9!?ybXzLWjlXohn5hk2c$Z(3V>eqz
z2DUr{K?3fP-8ckrNcJg4LK9Y_7t>3VmX|Ppjo^F5z9D+t?H0yY@7mqipun=&mV^BS
z%sQ=Z3$Dr@x($s$!0B#_hjZ^Kr_#OjjaXEGgEuHb@dxsQ>&t_dsOVvE=7(Mu#Q)n1
z;CkBtYho_FUMtfVCN>}Mo4J>4+1%XS+s&w5vDTN&ytIki82=;rWi#^;NPIP>uY&73
zn7n}5pnc&zKU)v9_I)ZZCNkhRx3IWqJeG9F^*t^!byZ(`R@V#q`FG+??qBq$ZIN%J
z&e0JOMMXOsxrcJYC7c}aXO3#h%9|lMcL=uvhX+MvI<1r)e9S)oF_p8oqg0Z|a!lH^
z+)<?ZfAc5U3LAgc;FKp(#OKRBUv8}iG;MBR!v~&s9gs~ZDeK^kRAqAb8!`>s>QfF!
zP7SN;D`NgGm(LX3Z0l}CQ2+kIz#0qp;sB;IBsdrZfa02(r5@*b^5;$o(O?+Ax*K6a
zX#X&Bj<58Pt!*D>`oTBo7vs~@$?bY8Rk<gvPTjY0K$e8)wijp2l9Wh}RuEcdmGas7
zCB_8=B&P5}SW{BpTUr8aqvr8V`W)m^K=LlBGuGEtVpi77>9Z2VmQ!U4_!0qz*LFbL
zTU0=X7zOfWRz(yhXk3rMgQvA7hmo4Kq%6;;GXO3EpQ*B9?>^o76_)_wCU@&_X|GIq
zzM{tfO@Jx^#1e6FRby4qv!LzCcevR%97`o<&s|YpPnK24qvyAiBQ0<6<nQnu+-gV=
z)ZeGL`1phjbO>RlU~&`z6l}oI(Y#-u)`AAmphNXI`-Kn#fWvR?Y*%R<gVr*`Ix4bi
z!6*(wD2Pekj%Wzc<~bX?=`c?JyAoX##z%J-N4e@AHYm>(R#x7<d>ap(|BrhM=Ain7
zUB9=F_#}=ZCWSCtreg`X(D-=p{SmZ6^jOO$fhKRj#Dhi^(A)t;h2!~ZNi{V*NJ~o#
zXz>6$M!-`Ez{Yc0`JW9xyXb(Z3v?|YUWvUPU09l4+hQ?Od->dGE~$a-ifZoe_mPC`
z9`ggB(ZJ{FT=MFArc^7F-+jWenVTF#83>LbdxW>SI5<3P#t89#1Dom1%*;x3niD(q
zt{iY&L_|bfPFI+IlmTK8d}cdIcTA|!>-gCNbeMt~A8bX*p#4b(TCX@bI6UUV^7Bn4
z!-+xXz~ydG6|o$79y~lecxnQPw}9ygiBP+5b^5<dp?09#6%`$TCb`dPN@G{QKw~2z
z5fO4uG1#UbMfR$Dj?b*?>5KmhOIjKf-P%A;^vd(y5CKwbNPDyxrS}8%&+dBY56+-7
z13dj;&yt^X^uz?nPGHlIsxxQ3wxWPAxe1K0jZGQ2x5PxXKFt4}?|-3DLdux}Yz2AR
z&Gh}&>|%Yn^AAijVnCXJrwe$>0-2zfFfpT69V(<i<)G1V7i{m))zsYI-kwgy1lxFk
z!aP0;K10XMY;u8*l9`dw23l=^NNWZ3PSCjpn<t;fJ$~`ZzJmY<SE^Z^*A)kv4`Zn$
zJ>1;H#O#KMx{cVtE(d2I`Ga1;<K<?2$mh?Wf%mmqOc#ND0T4Pmy180Qd`Ne1FDa1m
zSXfR$BXewQiz9_2EgfC|^mM{AVp4glE+5Yq5Q1CU&sRFyLMUW(>~D_dK}UdgiyI~c
z4B;Hy9q7Pg`POm=S{1^=!ajcd2sZA6)(j{JTk;cFXi`3xqp{zj4Yn7_peOaetB{1S
zf`>kw-MxQ42A!VZF&4)sCo3~EYMPqTph4>{w8jn06?kewS63HMvaqqRX28=DoDbFX
zQwMz#!EUF%W}rYzw7w<&Xr<BQWDYhR)x-Q|)NTN6`R%$5b`%hx*nyY=8q>zXDVCO6
z3JT2TD)c)$I~nm%AfWaD3J=(EQ{#L%BcBeMGmjQ(i(4Ze0>OR}B3>uD$5=qlXH!*m
z9b4k}3+U?Z=A1}(x@c%?gZ43?M~n-BZ3X3^=VNAix>BPAG+lxx7F7SAqRu;>>i7Tu
zFUN}PRK`J(m03s`*+TYSMfN5U3dc!SHpvcI**hxZph%Rxl~r~!lFjd__wRH2zW;i^
zI_F%k>s;p=$Mf-c+>c?gknLBH=!u=F(CB)wCSl3Gjf~KNQ|;_oSX!W(bNQ=-b!KyW
z`<7Xg-~PiX9QM_fgpU?}dw=W)3-v$+UC4l#0v{i_-yLmj6ry`MVKxlRvY>|k-gy8{
z5m>!NMMa(6-L=)#@{|A`X!Kr3`87a-1cd4BzA^AGy1Kgl*#bw8cpAF6wCSM}5&q8c
zJ1P{}L9Qkja8lmAJ8r8dBql!j_!Jb_d3YQ@#hfr6kTr0sf{_8#W>}N*^75)LCFl_t
zBq$$@z6V?c1l@jK|NJSIP5j0T>>bO?%eGxfcnIcTJtQ@ivHi?wR{tWH_$K|f?}QY@
zbEwf^3lL2sBcJsd1(0VU1OsCLrNhO=-J`=3r$1un?EG=s?T(KQBwB30qy#mV78Suw
zBt4g&Lp7kbR`gwp0@YL5tcfN}Q>&AQ+IYtb^b_8yr%0fWw>KI6h8h3*(vpK%x<4rX
zh&Om+z^@9vtK;pa<NNz#j|=P<A(K6|)jW(^5fl@9bOM)H?&;A4cRYcNA@2)tfrNw*
zL-g|XYfUXJFhsovqh<I<cQ-fh<0C)#qYhv<kA+rYJq?xK>9nW-*IRo8eW1Gh1e~aS
z0|Qo9lR>)A%)|{0RKI?$M34u{vC~-fB778(O#$g0?DCA^AD@9=FFah1(X`Rm2Ug;p
zbpM5(EYR6sm0|XO)lwYqgTonMFR*!nFJ`2|5+rnH$wve5$5=tZ==bl;;C^IbnPjXI
zA9>?Eo~M@DGi=)Uklz2HwTk5BK;4!%!I7ia6*ZZ_l9{BEo0pSwiIWopZx#I4?(XhL
zW_C6#9&H1I#Ms!2oSe6^d%;DJ4|dbOzPR-CLvSgu`0rpd-shF}3=a#yqVMPc$M#L1
zjZ0F!9$<CZS(^r&Om}xTB`{{(rcuWGh9h~fznH%BSOgm*MA+VfgADQ!bKM!Pc6K{+
zUsBiB)=pATw6s9yQPF?#fD8w_0=&a#;o-p6ur@a@w``~QQx_bp=<V$djtH=GfGNV>
zeld>y_Vee@Nl8iVgpC~?dBnQ^#DQz_rtglRsAw&KUcP>f>Ky)FW=TC7`x<9PR)F`Q
z|2X`=qE=lAF6Npb_VDycy-I0eOX<oUBcxpkBe&10wV6d6;X@9VZd&XKgTmR`vvk^o
za4BeJ!JqPuitdnD)%+OiLK*+`Uz=w}43g@SPjRoE&&E6<S>ZYP?pe%Fpol@>kxb8v
zkQE621IP#=yQ#91yV3|^J=>frl0%ne&6Tb|Bsbf(DAAi8jAwuJ`h5FHxnJ?jbMKm?
zmdRcQh?+PJDY??tUi6Fp2fT2TG?4_yn2b4UHeg-Vl6S3^_<yJioWJfd*6%#}f_UtI
zV&fj2{Z0EzI&p@dWt6Wb;jTlnnBCz_g&ym1W_T-oK0$e+)@K|+8~rj%N%-Wwi%bVJ
zmFxs2Xm^5r#p{+5-{?*s{EUZmF%rN>apMU|gb>roTM5nSZ?g*@VY;%tX9^w3f^NoX
zEh{FlCx(raD$jSk<Aii~Lf(e(6T&lwiC{r6G-dSyv_-j5E4=u}6O!WF@TY~-V?zT-
z){e}?a3<mEuGq{bJu4=K07DjFJZdMcqxmS_29iWDa%`%V<IJLZ`t1Iwis^q(IeBuH
z^{XJlBmdjteXAm^onJz{W*(ENnomgMV=8{#OP3D3R?hqBAb=!-*e3i-xv9$va5~CA
zUOa{Y!<N?YpW7LifmbdsExUhHfG83@u%eLD2iBbH4l}Pkvj;ksX0GJ`-y=fwe+p;N
zPC?dCebbSDmj;SwV}J!ljPZY8m4cFF&WEhZtQvmut;IF+emBQ9Au;P0@J-Nvfezz)
z#o^oQqm|q8+d3BEt<2D<Kv!bY{L`(;aY5cu#pve7tBru9*c!)~!KEuSEMR#pYB9v~
zV!0J#!wG@oPxm`2!^+6JPyFs5^ijfe>A3cYlB3+ErwoOuuwq03XGC<t;NSEA{eMr@
zU?=Iqc~onh^C^g9enT{H+aV{d2P4e{Ly{{JD>;q)1TUQA0^nm~w&L6XfCvPFLZMv(
z$bGM3?+)jRtewC8=As+S(NyYEww(XFWZYz*(>6Mff=9{VQAUr)NzVz7EIO_|CEzH3
zc~a@L#x@yNl3&D<6mu#WO$oq#yx~41ugDIZT^%*9CraOtq1HcsqVy*AkT-SXe9%kf
z^O^S!VwTePfU`nPImQRn6Ds(2Kd1QPb5Vy$Y57X?Tfm4Y569KjQY%$PK7Y@hJsdeC
z*tej@DTxRK8VqTzs!{&OjClNTb<^x+l_Bq{vlRvUdQa8&{TmyF8^E>cQ2+7WOYct}
z*RFb{m{CJbqX;K2@K|hjtQR8t@dL)5j3s4XQNe#s6v;5aUCk=MTE_b}V(*#C0LSN|
zPx-q!KcCLisR}A>spv5lD{5YNp8w+3YPjy8fgWd3CwJ$4^t;&a3!;<VU)sq-+V5AC
zmzMMY@;8<<Y7LmipV4Sv9$yS`Az_+3aLt)%$3@?mzG2K(O+?1hbDy*-D0wda?|Sd8
z9Kw$1uPk;#<?&xgmq;@*{M8%dC9IZWVDa@(n8`K@nj~L-bQ$mqEH3_br7opkONNAp
zc-6W5F|&S_3YN+i%4#l=FT(WOxnL~#5=}lAe8Q8SYwZG2dT4I=Gj}JovOJ=+%bA;1
zJ#9I4%TN4pZ)Q(8qdIsa7_XJMzF|$jTb~kfH=AqAh++}+2pCf0`|FxnlO?jNel<HH
zmL*-vZ2<SK<(>LGP#pj^a3kx61CaxRT-_c0a{A(sh0!IFLjI@qg}x8egvu}c)_WO|
z7BMHNW|WJm$+3COQFO_%_G4*(Rl(=(1QvX$6kb94B?)1mh`=CCg$43R8K7|aQyLo%
z8%U;QL15y?ahD3cp<f#e(H!HMx&8k~Mj6tcd{tOBraP)@qG@7a7}7coY!mVCgA4`M
z!h@ge3aR(G$r$7ye>5h(S<X?~5S>9Fd*PD<>jnN5Dr+sO4{u(mG`JPj*XBOETl8j3
z?eX&M!EOC<gXJ1O-y%alKhw*)W*^D%usnt`##-{dCNigp1S{zTi%FiYJhh7J+HYU)
z$mP|lqF&gQ*tO&kn)mX5VB`M)0>GP+E=lOk{VKEhKy`Y9YaeWpfTA*<KgnAfFAiz<
zxi9LR(kDQ0H9s6FbeIr4s#63=KuJ|e0AJG4XOCm{BbO|fzz4A&${aot;$oB6Cts^+
z@i+2U8wn%QUy>PE!xpw*WPG!F&pDjIb&0fnF$(_)UZhI@!!mM?^+&Cpqn$o~Kaa|#
zw0}$uKRjBQZyIQt^$(FPrhECqPR(QM0lBYuk8MTtYJ50KRb#52N|Ao&cB;ae+OTvR
zF;6`&pRe1`J(P&d6btdr#tQ!t_Pn`}MlW;*>Cqefxir5twb*l~UvhIRxsIq^q%KDe
z<;6yIN*Z4t9c!HB@4Y%*f|+pOcd<#c!Ic<SkiQb?wTb&O#nQ3rRm1LluB4`Va9_=J
z;bPQmApT2(_UvAJISG%n)e)UZd`E9Q6LZl~m(Xqm2`Qj>-a(55Xcty{Rtz%NY3Kck
z+}?`Z+`79$jwGS48<psat9oW?a`QJHm-5rH2Bn9mSKlTz*j4j2itc(GTU&RB46%DZ
zJjXbH8d)e^eE8Qr@5`&238!`AA0MsV?W^qFSnl$5^L<e3<JKa7O(ZTb-<fW69S`~N
z%OX|z8e874y2&ffN5ai#urN$1p?iU|*Ynfx$K8qgHecT=(F`B|s8T?)+-}30hIc${
zp7J7<4~rprS`;ZIy0PRVEcV4Gc(cDUpR__2cdl#Si5V-6%b`o`_~p2&6H2=#`$5Ee
z-}P4|^XNcm!C}Lp)h+k)**qInpO)eWUv5h1x$8Z&_?t2#Lcj`j9aWN-Gv}7_4z&Vb
zmtXDen;aK#IkUaFub`ozQqVWA#=;YKc0w0ZaMRpApd_3Rksjk~*p%{`@=L$}Oy&aB
zBST5-G4;aC?9~ZdR4ndoYwv3j**85lapa?6WCD%}rtB`~;mt^TN)B8olr3H;SneG<
zI|l1<Xg9Opr82!LQK%`l`?K}^<cap(=*2J(9>yYNmv}KA@m+G?^8$&<W!(fwsIh{3
zW7>X9k$xf51QS|<iI#@2EGnc!aQnt85^&(TEAyKG4;dh>sn_^=l)&`YKdDtWgu0(}
z1m%-~Hkf^v8j9Rn2-hxDC07$kKMa{?sk}WBeVUo^Bf}=DYTbb?YIc6MyXcDNYN08A
zykn-CNM7kq#mvyE37bp9bB_+`{WHjb`~Zti_i34A)#<@a6b&lEq9ps39PZpeT7l8d
zRtsm-O}sX$@e9UhtR?83!pO1vF+9KG9L8NShNpHm_vop`UN;yzE<1_yHy(U3ijDW+
zCP4x^%5}=p_7=WF-vopL90UW`4&#5<(d~%W-ITFlocr*on2B!EZa%1dZF!Kd%lR;U
z3kh>hV$uzySJ~m5{wDIx64)u&57)XVNd@KBpRF?p;A3J(f_G)`Y`EN}%6?*)gFjqr
zBcL@`H2-e9`N*ij@>dXl%t)Id7S(mC=gi`{(w%U40x3KpKqa5SajJ}4+Je#Y6saH^
zLVRRAS5KwnWa$L0p>4{NoRf`R{&zVsUuTd}%<L!-`~+T)rZsPC9>B+J;kYaqPvOf1
z`b8@0X!QrU;oSFV90Z0w@Bh$BebqJ=D<!<}-9}h~P13Q?v285e7T3|KHS5;plZ9BO
zSv>dGDQxETD@T1eps|<;nJ8i`bs#=U;WJ~Bt{@+{j(+eGgL+P54byt_W~!(u{mffC
zLACWciw1N*%jWISQH_d_M0XgLy)AYIR_1FGCHhWsQh}$~WMTS@f1vDR7QX9DfE+Ai
zj)P`*U}JQvGS1?kG>CF^^U3g4`rJ6zm?9(+?anN@`;!F8T%T`aJodv!aMtb_FC+;O
zB>*$NSE=w<{e9b3-oyJe;+=ME*vGwCxLWyU|6Ahq=uMWy-#o6D9SX&?26aaUbVoeq
z_r=HXo~kLRL8DjHuMDV&AOQxQmM?9ustZl&nit~fZ5`_wpo{D-J6)bMD1Cl8r0xUv
zy!6?~sf6aP&8`fo-Cdcnz`PcYx~=KakT1h2zYpCg4QA^YZ10+X7k8sXa1z~UDhdP{
zVPAo+Hxz%L#%I`4I?WhzpLjMxbLdpyMO6ALQ++EQ*ub+K<?;!RS09EJt<MNNYrT0Y
zH9@#&PgexN4R+U*y`@BYylY}tl!y>j_YA99b0ODR39hp_`!vISclw<@NUosUnIzCl
zl}mYws-79McOT@nVG1x9*QOjD6fz~cQKX?S?k)D3_VTN<T7mZdyJcpw!@*<yEBm{L
z2tuzhN4>iK=daFj?h$?qb~>Z^!RH%7cT@3@%pNYjTs~L-<Gh-Znn@FX^Ca()&^?Fj
zu#m;XzhmczHD`O=FQ6La-{zPWRMiS$rDHr)GD9aXMJvDg`UVMDO>rSjK(U1wbUrxk
zc}9YIq45J|K8EDdhf@S7kx((u@4AmgAFs--PEgLHkf(gITyz7SOIv13QqD)!pPCd<
ztW-5&nd+LitV7yODWR9btp)R18YBDn5X2upV?~MC-HfU>JWRivf1$kQ-dQRAE+f%f
zxN`ybX6~^q6-9C|=iM^ikz{v38&h;!jeCT-TMvhn`s9rlCy=v=$H4wI81T$5{c!B>
zuo5jzY4eSrXw_#VBPd64$66{;1SxxwAH(I8?wqy9TNZVG<F3*Jttx|v#G)ogJ>$WN
z=sAks=OVFB4aXa<<=d-Q8&&V6?Zs@%7Jt%@G+@-jzg(*++HM~O^D6)mTlLa3<yIF;
zhc%vrc6>i>qxR-+((*lP%dMRa%SWu~RvHd`&L2gt7Yo%~Hv6?bUZSKA+p$Wi#bNy5
zk;y)sBrjuM#!qmNpQmIjExRT!QT!*huLCc>BkD(@T6jl!{q~0b+2YE|imQWLPrQvh
zxYX|_n?59Yzw-WS_JTo$YdOo$n=SVb_Wmy8x8Ox8#@CAdp56^nyb>j)A={OPc9Rn1
z*qtl=?9A(gjxVOp&bl2RD4RWSw>WZ7W46BFPn6$Z(`xTYi@LSdAg@RZdKCMIgPFq!
zI~}PhoS9H<f6Pd*^%F&Rx{NpPomUuFlI~ow>D0>ZOAEb@eLliVH85=DD>47La-(bS
zkez0{+)y)so&~-br2X3t*#l8sm*ic;N;^x1<P?>hT3cX8qp7#3pW>p@3H)%47xpg>
zyqgrskER6R#lD&W$<J`L_-dC~17LF_<ie>ctbI0*|9Z01{<|bRkm!<s)&!ejeE_QK
zX-{IW_^KD(H(r`?x?7n-R<a9W9y(p8wJ-(DA{6bX;q|A|&bQQEiydj(K@ld|UwJnJ
z_n|Y(+_W-2*;haKT!cNj4j&#`Py20O{O{7604}kcvUJubouZ4*tg?3Zo%JJU`L|<p
zL!(hJRp1HcSIN}w-c*OT<W81xe&#c$!S{)Mj=h)e5>HTF=q@9v{A}&+i%ig2Qy2&I
z&QXU!6Sj#Vfe890!iDR?e&3Y6P!YLKK`JOjeWdK|rM7*W9ZsJ!2(7tI3s2i}ZW}vm
zMPyhri|+Y#la^Y`Ur&NIC=XaHf3-ZFp=2<(lpXc5{v*E^Ue9~(4Jqd6$9&E3a7r`J
zQ)L-7`Ar#(oTg7WvrBKT#7g7Y+<fh^6i#-a0IieIn$O`=91I@%(9w)1nP(zGJXHo=
zLs>uJ#NuFHkWV=aN4pr&(aEieNd>E3S)PnTQVcv%wAbWShAHOi0S21A2&|n6Z^cJL
zIm2YT{iu)E0QS^$u+iDo)m8D(iVNz~C+r<4-nNg$o^MeVNa^qI50cG->~(&IzeDf}
z*$=1%0YeJn_fXhmjkSXcXIo9ixfeED$qBmrL4<vi{TU1??{b~P74*!&Y7a;zpa4OV
zq;)z6(&U7MP>Y13@AvWX#~&^^)a*gCah*S*I;wlw6C&6UVaV=9L#<XqVxprXtl1o@
z*ikP`A!yXq*|`s)bv)$o@Q|CE8&ZPM4T$zYF{$moX@M>WC+G2>evLLMr)<k$pUhp~
zql4Ye?sW0mM_Uf~YQHAlZbI=)aa{$>J6j15yaFBqs5%h&?fqq@@s{}<T^?V|gx*_I
z4g)EjJf4_|iHW#48gx4`5z&IjBPd)&%{DYNKuIf`UHSHH%d5$5H#j(KAk1?;>UOR+
zupOX!3Q;c>2syspEz~W9&><jHng^j2oi6$K9KV2Jc|fP1z9tm<2aZR&LT|VvLnP_{
zvk(A_Yo1wfaNr9$vuy8Nd;mUSrF$kPk2?jLc6RA8`ksyAn8K}r!6JPqgEzwgFGTwZ
z3YkH&(?A8rLm(bA=l&Mzb4*{70YY4t784Vbo=%>K*_kHJ)$W*fd*kwLZ(;?)%jb9v
zk;I?wyHHUD{P(njv@{ON%H$GgAxr0A2}lXGw6>DhveBME(SXrQF1lqZ&k9k2gt9V$
z`tpcQ*N923lIQQb#EhbgXAD11IvnR^Fm2K*xw@9sY&Dggf#`Zq&)QN^8O7x0a#_>E
zhyH(~uu7LG)b$JuIBCM5D%@dJ8C5^x^aeoP2`ULHxd@V_`C7lI=ArpeFiY%>-X@~=
zz-EDXG1NQl>)t`AGDx<0cKzV+@GL3e!I{?b+4g8#Yimg;W(o+n)=}3O`>jni!#{$i
zvXkoCh=)8+Ow0!?G$&^(6V#l|8-P?$1E4I(^g*0mSVUy;*Wd692`Z4(xA~Hi5F1;8
zIrjgx-uQRSQB1qR9J^xJG;7hOkb2|VEiZHf=EqT-<!vI2hCP<>D(1*HRw+ljAoCb-
zA!rKQ50Yk(F@)-KovEhgTJJ3uJS0@!;@-V1mE2d_1&~E^bafq$HIR{M9(Qdjxw8dD
z)b;gg_qT2d&E^p=YCgWQC2zB-f<*^&8bWU1FlmJt6ew7+9X}vSwX?s^lc3_A4RO8<
z|Gh;>G{Q&h?C2;y@fFgZAg=(|!yUnyxHfn~MjMhb+ut9%0_5RV6dDhK<U6c0W@K%+
z>8J)`?O#$v%zW2Bc0S^vC54$++8ZGe-vdpCRO8n=k1MjqBFNf3NLBVuPD+W1rAS|(
zyL-XJ%SF;-y+_vRo|#5QCn^zdTKZ$fvw)|_j{m3!p*9EsK#rysh2Daj-NeW!vTm@w
z-4^r=SfCI&`r6qEgY53%F_3NmoT~i%c}NZ-2!u_63sEis3vrN1{Nagg_CXi;5o<W&
z2TKD5P(>#qCZ24<O!oFtx9xh%Hr*1fFpQYp0j&=P={{P@XCvot)&pRC1a3pQ9=0Mj
z1^^d9g?p%!->C8uAD<dWJV=%NH*V0k->)$S5sE)SWtsvui!oa}bUQl@Nz^Puq#_q>
z3r3zb);~muE?3)U{wve3ljV>sWcxC8$@;W>Tl^hk|AJ|iz)Xb;vmH|$_^0Iol`YIb
z)=EnnbT{NkygD5n0|4}i2~+0i`T2QZ37lmjfkOYyohf{>)+q-t+<AG4nu411Dlu_5
zv;dSHe$$?^9d-mE7(e-qfI1|R5`8`M*ALwNw9cPEE=mT~=wQ7aBDz7Cs6=%NNk>6q
zV&X`}2N3)n(StA@)aSL40OJy7_f%U!I?(@^dX@gGu}@VR@&X)0%6siXknGz>TbF$q
zN(&1?;;90$nvO1}^C#@rYkL47kzg(Zx&hc8Al=(qURYRYaMy>hwfyT>b?;epgwiEY
zE{5$y=$!2A4In@VpV-joD9P^ymE1U$T!sc|E@2gI^*HL&Iq%=^gX#dH2&i@5e-^aB
zMe(MFsGzh|T|<MV*N2fY74rSj`hj=|s37L%=F-vusvIW(l=}5HyT=>52jHUsvRn%w
zHlQ=GnSwS5A^GyKqHIAzl#GT(Hz;s;2;6`!m<fbT;1RY?L)O1>^Q(AIBxnk~m2Xu4
z{QfbuxeFBgHHCH%A@7j@<>F8Pvzt!Pw}t?O;#pYO`r4YCm)G#ifriK1{t)Muk&!_H
z{z*&}$fwRulX7zzAD_3t-AV=1Vl`}~@T&)L@~mHyh4OQ9tU%lW&j<)8H{7PAm6b`t
zMOugrfc~}C)o==C-s8V3*r*CaUa$o*g3AEpuabfStnC=;^ix%i?o`n-;M@TOjV26m
z66Q()K_MZ_!-F}!c92+wleeM1URy^8mfzge6oS+}n2!P)CSZ~tYUFCa1@#^RvYXx#
zu}Zq8rsy+gsw_S}%gM2=je{3MkiO;T%E}7lDj6b)3>H1aBmiI*(n?Q97eKhP-p+Eu
zMsXY}2BJUQjqPEn;Z=RmXom!H8yX}-TEP$ilE1Q&5*If&wk(c~jg9#C32+TgD>${(
z_Pc=*2I3C<2TUc<ZUF2FZ1)==X*L}n{&piqx6_jW52OLQtD|!UD;*jgo!@H*2o6(z
zQC?n1M-Kzx23iG9I&3GPM*?~X#vL{$BR~wvv--q}*$RKMx*B{B)J0W}s`7FWj?dmD
zFeo)0t+ww6O^o-AH2<A<w1DiOqw@wy)oapk7<Z&`F5DUp+SysT3si7=1C0U>TxpJY
zQRguNuMxnjKpq_S#S*njz{9YBj0qwYKr6){R}D#La2U9`tpU;VG7k?VkQY7ng2@@D
zz5?OHq2>{QCFC|F0oJ0fPLcYhO^_GFMTo(dl$3xTSXsFNu=p`%VE?q7@SP}nRFkUl
z3iXTNj2v{R;f`>fsH46a><7~eR{ixT%+{a*M4Mgg>;x4aUXQZ1vZAwV&LND0Sqt!~
zmoNR{Y-=qc_aS18g}E<RDR^m@07LYcAJ!=N8emKy>?{9D`L1n#US3NOER^OTn7t{i
zY<!ZEl8^F5<gmb8T6k@)h8NsW-Isk1D~+V4oMF_7`~k#9hyVlI1vK0Auu4H8_-X|k
z-y=>@Pb@$_RdThNyOXNy3kR2a9|a=_d}QJ0`1;0o%9@TCSXj!;j7JE1#2p_z(aq&J
z<^I+*yBC;hOABPa-2WjKVCqddigsdKr&qqcABJC9=o+l?&qU-dsD={yv0$ZDC5~8X
Y3$^9Az5ANs_fZgK1$FsSS@S3V56b)N{Qv*}

diff --git a/tutorial/figures/wf_9.tikz b/tutorial/figures/wf_9.tikz
deleted file mode 100644
index a7ecde4ee6..0000000000
--- a/tutorial/figures/wf_9.tikz
+++ /dev/null
@@ -1,35 +0,0 @@
-\begin{tikzpicture}[{every text node part/.style}={align=center}]
-	\begin{pgfonlayer}{nodelayer}
-		\node [style={nd_black}] (0) at (-3.25, -2) {\tiny \textcolor{blue}{mean} \\\tiny $x_{list}=[3, 5, 8]$};
-		\node [style=none] (7) at (-2, 2) {};
-		\node [style=none] (8) at (2, 2) {};
-		\node [style={wf_black}] (9) at (0, 2.8) {{\small $wf.x=[3, 5, 7]$}};
-		\node [style=none] (10) at (-2, -11.75) {};
-		\node [style=none] (11) at (2.25, -11.75) {};
-		\node [style=none] (12) at (0, -12.5) {{\small $wf.out_m=5;~wf.out_p=[9, 25, 49]$}};
-		\node [style=none] (13) at (-2, 0.75) {\tiny \textcolor{violet}{$x_{list}=wf.lzin.x$}};
-		\node [style=none] (14) at (-2.25, -10.5) {\tiny \textcolor{violet}{$wf.out_m=wf.mean.lzout.out$}};
-		\node [style={nd_white}] (15) at (3.25, -2) {\tiny \textcolor{blue}{power} \\ \tiny $a=[3, 5, 8]$ \\ \tiny \textcolor{red}{$\mathcal{S}=a$}};
-		\node [style=none] (16) at (2, 0.75) {\tiny \textcolor{violet}{$a=wf.lzin.x$}};
-		\node [style=none] (17) at (3.5, -9.5) {\tiny \textcolor{violet}{$wf.out_p = wf.power.lzout.out$}};
-		\node [style={nd_blue}] (18) at (0.5, -5.25) {\tiny \textcolor{blue}{power} \\ \tiny $a=3$};
-		\node [style={nd_red}] (19) at (3.25, -5.25) {\tiny \textcolor{blue}{power} \\ \tiny $a=5$};
-		\node [style={nd_green}] (21) at (6, -5.25) {\tiny \textcolor{blue}{power} \\ \tiny $a=7$};
-		\node [style=none] (22) at (0.5, -6.75) {};
-		\node [style=none] (25) at (6, -6.75) {\small $out=49$};
-		\node [style=none] (26) at (0.5, -6.75) {\small $out=9$};
-		\node [style=none] (27) at (3.25, -6.75) {\small $out=25$};
-		\node [style=none] (28) at (3.25, -7.5) {};
-	\end{pgfonlayer}
-	\begin{pgfonlayer}{edgelayer}
-		\draw [style={edge_wf}] (7.center) to (8.center);
-		\draw [style={edge_lzinout}] (9) to (0);
-		\draw [style={edge_wf}] (10.center) to (11.center);
-		\draw [style={edge_lzinout}] (0) to (12.center);
-		\draw [style={edge_lzinout}] (9) to (15);
-		\draw [style=grey] (15) to (19);
-		\draw [style=grey] (15) to (18);
-		\draw [style=grey] (15) to (21);
-		\draw [style={edge_lzinout}] (28.center) to (12.center);
-	\end{pgfonlayer}
-\end{tikzpicture}
diff --git a/tutorial/notebooks/intro_functiontask.ipynb b/tutorial/notebooks/intro_functiontask.ipynb
deleted file mode 100644
index 1f3211f8bc..0000000000
--- a/tutorial/notebooks/intro_functiontask.ipynb
+++ /dev/null
@@ -1,617 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# pydra\n",
-    "\n",
-    "There are two main types of objects in *pydra*: `Task` and `Workflow`. `Task` is used to represent individual tasks that take specified input and return specified output. You can create a `Task` from various things, e.g. from *python* functions or *shell* commands. In this introduction we will cover `FunctionTask`s that are used to convert any *python* function to *pydra* `Task`.\n",
-    "\n",
-    "Later, we will talk about `Workflow` that is used to create a pipeline that connects various `Task`s. In *pydra*, every `Workflow` is also a `Task`, so can be connected to any other `Task` and be part of another `Workflow`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pydra"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## FunctionTask\n",
-    "\n",
-    "A `FunctionTask` can be created from every *python* function by using *pydra* decorator: `pydra.mark.task`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def add_var(a, b):\n",
-    "    return a + b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Once we decorate the function, we can create a pydra `Task` and specify the input:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1 = add_var(a=4, b=5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can check the type of `task1`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "type(task1)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "and we can check if the task has correct values of `a` and `b`, they should be saved in the task `inputs`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(f\"a = {task1.inputs.a}\")\n",
-    "print(f\"b = {task1.inputs.b}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can also check content of entire `inputs`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1.inputs"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As you could see, `task.inputs` contains also information about the function, that is an inseparable part of the `FunctionTask`.\n",
-    "\n",
-    "Once we have the task with set input, we can run it. Since `Task` is a \"callable object\", we can use the syntax:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As you can see, the result was returned right away, but we can also access it later:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "`Result` contains more than just an output, so if we want to get the task output, we can type:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "result = task1.result()\n",
-    "result.output.out"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Customizing output names\n",
-    "Note, that \"out\" is a default name for the task output, but we can always customize it. There are two ways of doing it: using *python* function annotation and using another *pydra* decorator:\n",
-    "\n",
-    "Let's start from the function annotation:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Result(output=Output(sum_a_b=9), runtime=None, errored=False)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import typing as ty\n",
-    "\n",
-    "@pydra.mark.task\n",
-    "def add_var_an(a, b) -> ty.NamedTuple(\"Output\", [(\"sum_a_b\", int)]):\n",
-    "    return a + b\n",
-    "\n",
-    "\n",
-    "task1a = add_var_an(a=4, b=5)\n",
-    "task1a()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The annotation might be very useful to specify the output names when the function returns multiple values."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def modf_an(a) -> ty.NamedTuple(\"Output\", [(\"fractional\", ty.Any), (\"integer\", ty.Any)]):\n",
-    "    import math\n",
-    "    return math.modf(a)\n",
-    "\n",
-    "task2 = modf_an(a=3.5)\n",
-    "task2()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The second way of customizing the output requires another decorator - `pydra.mark.annotate`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "@pydra.mark.annotate({\"return\": {\"fractional\": ty.Any, \"integer\": ty.Any}})\n",
-    "def modf(a):\n",
-    "    import math\n",
-    "    return math.modf(a)\n",
-    "\n",
-    "task2a = modf(a=3.5)\n",
-    "task2a()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note, that the order of the decorators is important!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Setting the input\n",
-    "\n",
-    "We don't have to provide the input when we create a task, we can always set it later:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task3 = add_var()\n",
-    "task3.inputs.a = 4\n",
-    "task3.inputs.b = 5\n",
-    "task3()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If we forget to specify the input, `None` will be used as the default value in *pydra*, so the function will return a python error:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task3a = add_var()\n",
-    "task3a.inputs.a = 4\n",
-    "try:\n",
-    "    task3a()\n",
-    "except(TypeError) as err:\n",
-    "    print(f\"TypeError: {err}\")\n",
-    "else:\n",
-    "    raise"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Output directory and caching the results\n",
-    "\n",
-    "After running the task, we can check where the output directory with the results was created:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task3.output_dir"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Within the directory you can find the file with the results: `_result.pklz`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "os.listdir(task3.output_dir)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "But we can also provide the directory path where we want to store the results, let's create a temporary directory and a specific subdirectory \"task4\":"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from tempfile import mkdtemp\n",
-    "from pathlib import Path\n",
-    "cache_dir_tmp = Path(mkdtemp()) / \"task4\"\n",
-    "print(cache_dir_tmp)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we can pass this path to the argument of `FunctionTask` - `cache_dir`. To observe the execution time, we specify a function that is sleeping for 5s:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def add_var_wait(a, b):\n",
-    "    import time\n",
-    "    time.sleep(5)\n",
-    "    return a + b\n",
-    "\n",
-    "task4 = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you're running the cell first time, it should take around 5s."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If you're running the cell first time, it should take around 5s.\n",
-    "\n",
-    "We can check `output_dir` of our task, it should contain the path of `cache_dir_tmp` and the last part contains the name of the task class `FunctionTask` and the task checksum:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4.output_dir"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's see what happens when we defined identical task again with the same `cache_dir`: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4a = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp)\n",
-    "task4a()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time the result should be ready right away! *pydra* uses available results and do not recompute the task.\n",
-    "\n",
-    "*pydra* not only checks for the results in `cache_dir`, but you can provide a list of other locations that should be checked. Let's create another directory that will be used as `cache_dir` and previous working directory will be used in `cache_locations`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cache_dir_tmp_new = Path(mkdtemp()) / \"task4b\"\n",
-    "\n",
-    "task4b = add_var_wait(a=4, b=6, cache_dir=cache_dir_tmp_new, cache_locations=[cache_dir_tmp])\n",
-    "task4b()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time the results should be also returned quickly! And we can check that `task4b.output_dir` was not created:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4b.output_dir.exists()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note, that if we update the input of the task, and run again, the new directory will be created and task will be recomputed:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4b.inputs.a = 1\n",
-    "print(task4b())\n",
-    "print(task4b.output_dir.exists())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "and when we change the `output_dir`, we can see that the last part is different than last time:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4b.output_dir"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This is because, the checksum changes when we change either input or function."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden",
-    "solution2_first": true
-   },
-   "source": [
-    "#### Exercise 1\n",
-    "Create a task that take a list of numbers as an input and returns two fields: `mean` with the mean value and `std` with the standard deviation value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {
-    "scrolled": true,
-    "solution2": "hidden"
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Result(output=Output(mean=2, std=0.0), runtime=None, errored=False)"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "@pydra.mark.task\n",
-    "@pydra.mark.annotate({\"return\": {\"mean\": ty.Any, \"std\": ty.Any}})\n",
-    "def mean_dev(my_list):\n",
-    "    import statistics as st\n",
-    "    return st.mean(my_list), st.stdev(my_list)\n",
-    "\n",
-    "my_task = mean_dev(my_list=[2, 2, 2])\n",
-    "my_task()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# write your solution here (you can use statistics module)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Using Audit\n",
-    "\n",
-    "*pydra* can record various run time information, including the workflow provenance, by setting `audit_flags` and the type of messengers. \n",
-    "\n",
-    "`AuditFlag.RESOURCE` allows you to monitor resource usage for the `Task`, while `AuditFlag.PROV` tracks the provenance of the `Task`. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pydra.utils.messenger import AuditFlag, PrintMessenger\n",
-    "\n",
-    "task5 = add_var(a=4, b=5, audit_flags=AuditFlag.RESOURCE)\n",
-    "task5()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "One can turn on both audit flags using `AuditFlag.ALL`, and print the messages on the terminal using the `PrintMessenger`. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task5 = add_var(a=4, b=5, audit_flags=AuditFlag.ALL, messengers=PrintMessenger())\n",
-    "task5()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/tutorial/notebooks/intro_shelltask.ipynb b/tutorial/notebooks/intro_shelltask.ipynb
deleted file mode 100644
index 41b0abdcd0..0000000000
--- a/tutorial/notebooks/intro_shelltask.ipynb
+++ /dev/null
@@ -1,449 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## ShellCommandTask\n",
-    "\n",
-    "In addition to `FunctionTask`, pydra allows for creating tasks from shell commands by using `ShellCommandTask`.\n",
-    "\n",
-    "Let's run a simple command `pwd` using pydra"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pydra"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd = \"pwd\"\n",
-    "# we should use executable to pass the command we want to run\n",
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd)\n",
-    "shelly.cmdline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# we can always check the cmdline of our task\n",
-    "shelly.cmdline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "and now let's try to run it:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(shelly)\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "and check the result"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "the result should have `return_code`, that hopehully is 0, `stdout` and `stderr`"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### longer commands\n",
-    "you can also use longer command by providing a list:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd = [\"echo\", \"hail\", \"pydra\"]\n",
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd)\n",
-    "print(\"cmndline = \", shelly.cmdline)\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(shelly)\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### using args\n",
-    "In addition to `executable`, we can also use `args`. Last example can be also rewritten:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd = \"echo\"\n",
-    "args = [\"hail\", \"pydra\"]\n",
-    "\n",
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd, args=args)\n",
-    "print(\"cmndline = \", shelly.cmdline)\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(shelly)\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### customized input\n",
-    "\n",
-    "Pydra always checks `executable` and `args`, but we can also provide additional inputs, in orger to do it, we have to modify `input_spec` first by using `SpecInfo` class:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import attr\n",
-    "\n",
-    "my_input_spec = pydra.specs.SpecInfo(\n",
-    "    name=\"Input\",\n",
-    "    fields=[\n",
-    "        (\n",
-    "            \"text\",\n",
-    "            attr.ib(\n",
-    "                type=str,\n",
-    "                metadata={\"position\": 1, \"help_string\": \"text\", \"mandatory\": True},\n",
-    "                ),\n",
-    "        )\n",
-    "    ],\n",
-    "    bases=(pydra.specs.ShellSpec,),\n",
-    ")\n",
-    "# this will be simplified!"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we can define our task:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd_exec = \"echo\"\n",
-    "hello = \"HELLO\"\n",
-    "shelly = pydra.ShellCommandTask(\n",
-    "    name=\"shelly\", executable=cmd_exec, text=hello, input_spec=my_input_spec\n",
-    ")\n",
-    "\n",
-    "print(\"cmndline = \", shelly.cmdline)\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(shelly)\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### customized output\n",
-    "\n",
-    "We can also customized output if we want to return something more than the `stdout`, e.g. a file."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "my_output_spec = pydra.specs.SpecInfo(\n",
-    "    name=\"Output\",\n",
-    "    fields=[(\"newfile\", pydra.specs.File, \"newfile_tmp.txt\")],\n",
-    "    bases=(pydra.specs.ShellOutSpec,),\n",
-    ")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "now we can create a task that returns a new file:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd = [\"touch\", \"newfile_tmp.txt\"]\n",
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd, output_spec=my_output_spec)\n",
-    "\n",
-    "print(\"cmndline = \", shelly.cmdline)\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(shelly)\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden",
-    "solution2_first": true
-   },
-   "source": [
-    "#### exercise 1\n",
-    "\n",
-    "Write a task that creates two new files, use provided output spec."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "cmd = \"echo\"\n",
-    "args = [\"newfile_1.txt\", \"newfile_2.txt\"]\n",
-    "\n",
-    "my_output_spec = pydra.specs.SpecInfo(\n",
-    "    name=\"Output\",\n",
-    "    fields=[\n",
-    "        (\n",
-    "            \"out1\",\n",
-    "            attr.ib(\n",
-    "                type=pydra.specs.File,\n",
-    "                metadata={\n",
-    "                    \"output_file_template\": \"{args}\",\n",
-    "                    \"help_string\": \"output file\",\n",
-    "                },\n",
-    "            ),\n",
-    "        )\n",
-    "    ],\n",
-    "    bases=(pydra.specs.ShellOutSpec,),\n",
-    ")\n",
-    "\n",
-    "\n",
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=cmd, args=args, output_spec=my_output_spec).split(\"args\")\n",
-    "\n",
-    "print(\"cmndline = \", shelly.cmdline)\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(shelly)\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd = \"echo\"\n",
-    "args = [\"newfile_1.txt\", \"newfile_2.txt\"]\n",
-    "\n",
-    "my_output_spec = pydra.specs.SpecInfo(\n",
-    "    name=\"Output\",\n",
-    "    fields=[\n",
-    "        (\n",
-    "            \"out1\",\n",
-    "            attr.ib(\n",
-    "                type=pydra.specs.File,\n",
-    "                metadata={\n",
-    "                    \"output_file_template\": \"{args}\",\n",
-    "                    \"help_string\": \"output file\",\n",
-    "                },\n",
-    "            ),\n",
-    "        )\n",
-    "    ],\n",
-    "    bases=(pydra.specs.ShellOutSpec,),\n",
-    ")\n",
-    "\n",
-    "# write your solution here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### DockerTask\n",
-    "\n",
-    "all the commands can be also run in a docker container using `DockerTask`. Syntax is very similar, but additional argument `image` is required."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "cmd = \"whoami\"\n",
-    "docky = pydra.DockerTask(name=\"docky\", executable=cmd, image=\"busybox\")\n",
-    "\n",
-    "with pydra.Submitter() as sub:\n",
-    "    docky(submitter=sub)\n",
-    "\n",
-    "docky.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden",
-    "solution2_first": true
-   },
-   "source": [
-    "#### exercise2\n",
-    "\n",
-    "Use splitter to run the same command in two different images:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "cmd = \"whoami\"\n",
-    "docky = pydra.DockerTask(name=\"docky\", executable=cmd, image=[\"busybox\", \"ubuntu\"]).split(\"image\")\n",
-    "\n",
-    "with pydra.Submitter() as sub:\n",
-    "    docky(submitter=sub)\n",
-    "\n",
-    "docky.result()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#write your solution here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Using `ShellCommandTask` with `container_info` argument:\n",
-    "\n",
-    "You can run the shell command in a docker container by adding `container_info` argument to `ShellCommandTask`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=\"whoami\", container_info=(\"docker\", \"busybox\"))\n",
-    "with pydra.Submitter() as sub:\n",
-    "    shelly(submitter=sub)\n",
-    "\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "If we don't provide `container_info` the output should be different:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "shelly = pydra.ShellCommandTask(name=\"shelly\", executable=\"whoami\")\n",
-    "with pydra.Submitter() as sub:\n",
-    "    shelly(submitter=sub)\n",
-    "\n",
-    "shelly.result()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/tutorial/notebooks/intro_task_state.ipynb b/tutorial/notebooks/intro_task_state.ipynb
deleted file mode 100644
index bd6cc3e84b..0000000000
--- a/tutorial/notebooks/intro_task_state.ipynb
+++ /dev/null
@@ -1,735 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Introduction to Tasks with States\n",
-    "\n",
-    "Task might be run for a single set of input values or we can generate multiple sets, that will be called \"states\". If we want to run our `Task` multiple times we have to provide input that is iterable and specify the way we want to map values of the inputs to the specific states. In order to do it, we set so-called `splitter`. \n",
-    "\n",
-    "Let's start from a simple `FunctionTask` that takes a list as an input:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pydra\n",
-    "\n",
-    "@pydra.mark.task\n",
-    "def add_two(x):\n",
-    "    return x + 2\n",
-    "\n",
-    "task1 = add_two(x=[1, 2, 3])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Before we set any splitter, the task's `state` should be `None`"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1.state is None"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can now check the results of our task:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we can set the `splitter` by using the `split` method. Since our task has only one input, there is only one option to create set of inputs, i.e. `splitter=\"x\"`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1.split(\"x\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we can check that our task has a `state`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1.state"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "And if we can print information about our state"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "print(task1.state)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "within the `state` information about the splitter has been stored: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1.state.splitter"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note, that *pydra* adds name of the function to the name of the input.\n",
-    "\n",
-    "Now, we can run the task and check results:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task1()\n",
-    "task1.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time, we got a list that contains three `Result` objects, one for each value of `x`.\n",
-    "\n",
-    "For tasks with a state *pydra* prepare all sets of inputs and run the task for each of the set. We could simply represent this by the following figure:"
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_1.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_1.png](attachment:nd_spl_1.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Note, that you can set the`splitter` only once, if you try to use `split` method again, you will get an error:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# TODO\n",
-    "# try:\n",
-    "#     task1.split(\"x\")\n",
-    "# except(Exception) as err:\n",
-    "#     print(f\"Exception: {err}\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Multiple inputs\n",
-    "\n",
-    "We can also use `State` for functions with multiple inputs:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def add_var(a, b):\n",
-    "    return a + b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we have more options to define `splitter`, it depends on the type of inputs and on our application. For example, we could have `a` that is a list and `b` that is a single value:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task2 = add_var(a=[1, 2, 3], b=10).split(\"a\")\n",
-    "task2()\n",
-    "task2.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we have three results for each element from the `a` list and the value of `b` is always the same. "
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_2.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_2.png](attachment:nd_spl_2.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "But we can have lists for both inputs, let's assume that `a` and `b` are two elements lists."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task3 = add_var(a=[1, 2], b=[10, 100])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we have two options to map the input values, we might want to run the task for two sets of values: (`a`=1, `b`=10) and (`a`=2, `b`=100), or we might want to run the task for four sets: (`a`=1, `b`=10), (`a`=1, `b`=100), (`a`=2, `b`=10) and (`a`=2, `b`=100). \n",
-    "\n",
-    "The first situation will be represented by the so-called \"scalar\" splitter, the later by the so-called \"outer\" splitter. "
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Scalar splitter\n",
-    "\n",
-    "Let's start from the scalar splitter, that uses parentheses in the syntax:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task3.split((\"a\", \"b\"))\n",
-    "task3()\n",
-    "task3.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As we expected, we have two outputs: `1+10=11` and `2+100=102`. \n",
-    "\n",
-    "We can represent the execution by the graph:"
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_4.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_4.png](attachment:nd_spl_4.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### Outer splitter\n",
-    "\n",
-    "For the outer splitter we will use brackets:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task4 = add_var(a=[1, 2], b=[10, 100])\n",
-    "task4.split([\"a\", \"b\"])\n",
-    "task4()\n",
-    "task4.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we have results for all of the combinations of values from `a` and `b`."
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_3.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_3.png](attachment:nd_spl_3.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "For more inputs we can create more complex splitter, and use scalar and outer splitters together. Note, that the scalar splitter can only work for lists that have the same length, but the outer splitter doesn't have this limitation. \n",
-    "\n",
-    "Let's run one more example that takes four inputs, `x` and `y` components of two vectors, and calculates all possible sums of vectors. `x` components should be kept together with corresponding `y` components (i.e. scalar splitters: `(\"x1\", \"y1\")` and `(\"x2\", \"y2\")`), but we should use outer splitter for two vectors to get all combinations."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def add_vector(x1, y1, x2, y2):\n",
-    "    return (x1 + x2, y1 + y2)\n",
-    "\n",
-    "task5 = add_vector(name=\"add_vect\", output_names=[\"x\", \"y\"], \n",
-    "                   x1=[10, 20], y1=[1, 2], x2=[10, 20, 30], y2=[10, 20, 30])\n",
-    "task5.split(splitter=[(\"x1\", \"y1\"), (\"x2\", \"y2\")])\n",
-    "task5()\n",
-    "task5.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We should get six outputs: two elements for vector1 times three elements for vector2."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Combining the output\n",
-    "\n",
-    "When we use `splitter`, we can also define `combiner`, if we want to combine together the results.\n",
-    "\n",
-    "If we take the `task4` as an example and combine all results for each element of the input `b`, we can modify the task as follows:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task5 = add_var(a=[1, 2], b=[10, 100])\n",
-    "task5.split([\"a\", \"b\"])\n",
-    "# adding combiner\n",
-    "task5.combine(\"b\")\n",
-    "task5()\n",
-    "task5.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now our result contains two elements, each one is a list. The first one contains results for `a=1` and both values of `b`, and the second contains results for `a=2` and both values of `b`."
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_3_comb1.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_3_comb1.png](attachment:nd_spl_3_comb1.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "But we could also group all elements from the input `a` and have a different combined output:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task6 = add_var(a=[1, 2], b=[10, 100])\n",
-    "task6.split([\"a\", \"b\"])\n",
-    "# changing the combiner\n",
-    "task6.combine(\"a\")\n",
-    "task6()\n",
-    "task6.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We still have two elements in our results, but this time the first element contains results for `b=10` and both values of `a`, and the second contains results for `b=100` and both values of `a`."
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_3_comb2.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_3_comb2.png](attachment:nd_spl_3_comb2.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can also combine all elements by providing a list of all inputs to the `combiner`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task7 = add_var(a=[1, 2], b=[10, 100])\n",
-    "task7.split([\"a\", \"b\"])\n",
-    "# combining all inputs\n",
-    "task7.combine([\"a\", \"b\"])\n",
-    "task7()\n",
-    "task7.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time the output contains one element that is a list of all outputs:"
-   ]
-  },
-  {
-   "attachments": {
-    "nd_spl_3_comb3.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![nd_spl_3_comb3.png](attachment:nd_spl_3_comb3.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden",
-    "solution2_first": true
-   },
-   "source": [
-    "### Exercise 1\n",
-    "\n",
-    "Let's say we want to calculate squares and cubes of integers from 2 to 5, and combine separately all squares and all cubes:"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "source": [
-    "First we will define a function that returns powers:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def power(x, n):\n",
-    "    return x**n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "source": [
-    "Now we can create a task that takes two lists as its input, outer splitter for `x` and `n`, and combine all `x`: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "task_ex1 = power(x=[2, 3, 4, 5], n=[2, 3]).split([\"x\", \"n\"]).combine(\"x\")\n",
-    "task_ex1(plugin=\"cf\")\n",
-    "task_ex1.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "solution2": "hidden"
-   },
-   "source": [
-    "The result should contain two list, the first one is for squares, the second for cubes."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "scrolled": true,
-    "solution2": "hidden"
-   },
-   "outputs": [],
-   "source": [
-    "squares_list = [el.output.out for el in task_ex1.result()[0]]\n",
-    "cubes_list = [el.output.out for el in task_ex1.result()[1]]\n",
-    "print(f\"squares: {squares_list}\")\n",
-    "print(f\"cubes: {cubes_list}\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# write your solution here"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Parallel execution\n",
-    "\n",
-    "We run task multiple times for multiple sets of input, but we didn't talk about the execution time. Let's create a function that sleeps for a second and run for four values:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import time\n",
-    "\n",
-    "@pydra.mark.task\n",
-    "def add_two_sleep(x):\n",
-    "    time.sleep(1)\n",
-    "    return x + 2\n",
-    "\n",
-    "task8 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n",
-    "t0 = time.time()\n",
-    "task8()\n",
-    "print(f'total time: {time.time() - t0}')\n",
-    "task8.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The total time will depend on the machine you are using, but it could be below `1.1s`, so clearly the tasks are running in parallel!\n",
-    "\n",
-    "If we run `Task` that has a `State`, pydra will automatically create a `Submitter` with a default `Worker` that is `cf`, i.e. `ConcurrentFutures`.\n",
-    "\n",
-    "We could also create a `Submitter` first, and than use it to run the task:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task9 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n",
-    "\n",
-    "t0 = time.time()\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    task9(submitter=sub)\n",
-    "print(f'total time: {time.time() - t0}')\n",
-    "print(f\"results: {task9.result()}\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "or we can provide the name of the plugin:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task10 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n",
-    "\n",
-    "t0 = time.time()\n",
-    "task10(plugin=\"cf\")\n",
-    "print(f'total time: {time.time() - t0}')\n",
-    "print(f\"results: {task10.result()}\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The last option for running the task is to create a `Submitter` first and run the submitter (`Submitter` is also a callable object) with the task as  a `runnable`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task11 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n",
-    "\n",
-    "t0 = time.time()\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(runnable=task11)\n",
-    "print(f'total time: {time.time() - t0}')\n",
-    "print(f\"results: {task11.result()}\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "All of the execution time should be similar, since all taska are run by *pydra* in the same way, i.e. *pydra* creates a submitter with `ConcurrentFutures` worker, if a number of processors is not provided, `ConcurrentFutures` takes all available processors as `max_workers`. However, if we want to set a specific number of processors, we can set it using `n_procs` when creating a `Submitter`. Let's see how the execution time changes when we use `n_procs=2`.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "task12 = add_two_sleep(x=[1, 2, 3, 4]).split(\"x\")\n",
-    "\n",
-    "t0 = time.time()\n",
-    "with pydra.Submitter(plugin=\"cf\", n_procs=2) as sub:\n",
-    "    sub(runnable=task12)\n",
-    "print(f'total time: {time.time() - t0}')\n",
-    "print(f\"results: {task11.result()}\")\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, the total time could be significantly different. For example, if your machine has at least 4 processors, the previous `tasks8` - `task11` took around 1s to run, but the task12 took around 2s.\n",
-    "If you have 2 processors or less, you should not see any difference in the execution time."
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/tutorial/notebooks/intro_workflow.ipynb b/tutorial/notebooks/intro_workflow.ipynb
deleted file mode 100644
index fd8dcc22a5..0000000000
--- a/tutorial/notebooks/intro_workflow.ipynb
+++ /dev/null
@@ -1,574 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pydra\n",
-    "\n",
-    "# functions used later in the notebook:\n",
-    "\n",
-    "@pydra.mark.task\n",
-    "def add_two(x):\n",
-    "    return x + 2\n",
-    "\n",
-    "@pydra.mark.task\n",
-    "def power(a, n=2):\n",
-    "    return a**n\n",
-    "\n",
-    "@pydra.mark.task\n",
-    "def mult_var(a, b):\n",
-    "    return a * b"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Introduction to Workflow\n",
-    "\n",
-    "In order to run multiple tasks within one pipeline, we use another *pydra* class - `Workflow`. The workflow will contain arbitrary number of tasks that will be treated as a graph's nodes.\n",
-    "\n",
-    "Let's start from a workflow with a single task that has one input `x`. When we create a `Workflow`, we have to specify `input_spec` that contains all of the workflow inputs:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf1 = pydra.Workflow(name=\"wf1\", input_spec=[\"x\"], x=3)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we can add a task and specify that `x` will be taken from the workflow input by using so-called *Lazy Input*, `x=wf1.lzin.x`. We should also add the `name` to the task we are using in the `Workflow`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf1.add(add_two(name=\"sum\", x=wf1.lzin.x))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we can access the task by using the task name:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf1.sum"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We have to also specify what would be the workflow output, for this one-task workflow, we simply take the output of `sum` and we use *Lazy Output* to set it to `wf.output.out`:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf1.set_output([(\"out\", wf1.sum.lzout.out)])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We could also use dictionary to set the output - `wf1.set_output({\"out\": wf1.sum.lzout.out})`, or as a tuple if we set a single element: `wf1.set_output((\"out\", wf1.sum.lzout.out))`"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we are ready to run the workflow:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf1)\n",
-    "\n",
-    "wf1.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The result of the workflow should be the same as the output of the task, i.e. 5.\n",
-    "\n",
-    "We could think about the workflow as follows: the workflow has an input `x` that is passed to the \"sum\" task, once the task has its input it runs as always and produces an output, the output is later set to the workflow output. "
-   ]
-  },
-  {
-   "attachments": {
-    "wf_1.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_1.png](attachment:wf_1.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "You can add as many task as you want to the workflow and return multiple variables:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf2 = pydra.Workflow(name=\"wf2\", input_spec=[\"x\"], x=3)\n",
-    "wf2.add(add_two(name=\"add_two\", x=wf2.lzin.x))\n",
-    "wf2.add(power(name=\"power\", a=wf2.lzin.x))\n",
-    "\n",
-    "# setting multiple workflow output\n",
-    "wf2.set_output([(\"out_s\", wf2.add_two.lzout.out),\n",
-    "                (\"out_p\", wf2.power.lzout.out)\n",
-    "               ])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf2)\n",
-    "\n",
-    "wf2.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "In this example we had two tasks, that took inputs from the workflow input and pass the outputs to the workflow output:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_2.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_2.png](attachment:wf_2.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Connecting tasks\n",
-    "\n",
-    "The previous example showed a workflow with two nodes, but they were not connected with each other.\n",
-    "\n",
-    "If we want to connect the tasks, we simply have to set the input of the second task to the output of the first task, and we use again the `Lazy Output` concept:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf3 = pydra.Workflow(name=\"wf3\", input_spec=[\"x\"], x=3)\n",
-    "wf3.add(add_two(name=\"sum\", x=wf3.lzin.x))\n",
-    "# by setting a=wf3.sum.lzout.out we create a connection\n",
-    "wf3.add(power(name=\"power\", a=wf3.sum.lzout.out))\n",
-    "\n",
-    "wf3.set_output([(\"out_s\", wf3.sum.lzout.out),\n",
-    "                (\"out_p\", wf3.power.lzout.out)\n",
-    "               ])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf3)\n",
-    "\n",
-    "wf3.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now, we could see that the second task took an input from the first one:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf3.power.inputs.a"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "So this time the workflow graph will look like this:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_3.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_3.png](attachment:wf_3.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The node can be connected to multiple nodes, we can modify `wf` to add additional node that uses `mult_var` to multiple the outputs of two previous tasks:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf4 = pydra.Workflow(name=\"wf4\", input_spec=[\"x\"], x=3)\n",
-    "wf4.add(add_two(name=\"add_two\", x=wf4.lzin.x))\n",
-    "wf4.add(power(name=\"power\", a=wf4.lzin.x))\n",
-    "wf4.add(mult_var(name=\"mult\", a=wf4.add_two.lzout.out, b=wf4.power.lzout.out))\n",
-    "\n",
-    "wf4.set_output([(\"out\", wf4.mult.lzout.out)])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf4)\n",
-    "\n",
-    "wf4.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time the graph should look like this:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_4.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_4.png](attachment:wf_4.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Workflow as a node\n",
-    "\n",
-    "Previously we had workflows that had `Task`s as nodes, but *pydra* treats `Workflow` as any other `Task`, so the workflow could be used as a node.\n",
-    "\n",
-    "Let's modify the previous workflow, and instead of `sum` and `power` tasks we use `wf2` as the first node:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf2a = pydra.Workflow(name=\"wf2a\", input_spec=[\"x\"])\n",
-    "wf2a.add(add_two(name=\"add_two\", x=wf2a.lzin.x))\n",
-    "wf2a.add(power(name=\"power\", a=wf2a.lzin.x))\n",
-    "\n",
-    "wf2a.set_output([(\"out_s\", wf2a.add_two.lzout.out),\n",
-    "                (\"out_p\", wf2a.power.lzout.out)\n",
-    "               ])\n",
-    "\n",
-    "\n",
-    "wf5 = pydra.Workflow(name=\"wf5\", input_spec=[\"x\"], x=3)\n",
-    "wf5.add(wf2a)\n",
-    "# connecting wfa to the input from the main workflow\n",
-    "wf2a.inputs.x = wf5.lzin.x\n",
-    "wf5.add(mult_var(name=\"mult\", a=wf5.wf2a.lzout.out_s, b=wf5.wf2a.lzout.out_p))\n",
-    "\n",
-    "wf5.set_output([(\"out\", wf5.mult.lzout.out)])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf5)\n",
-    "\n",
-    "wf5.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We should get exactly the same result as previously, but this time we run `wf2a` inside our main workflow:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_5.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_5.png](attachment:wf_5.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Workflow with a splitter\n",
-    "\n",
-    "Workflow as any other task could also have a splitter. Let's take one of our previous workflows and add a splitter for the workflow input by setting `splitter` using the `split` method."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf6 = pydra.Workflow(name=\"wf6\", input_spec=[\"x\"])\n",
-    "# setting a plitter for the entire workflow\n",
-    "wf6.split(\"x\", x=[3, 5])\n",
-    "wf6.add(add_two(name=\"add_two\", x=wf6.lzin.x))\n",
-    "wf6.add(power(name=\"power\", a=wf6.lzin.x))\n",
-    "wf6.add(mult_var(name=\"mult\", a=wf6.add_two.lzout.out, b=wf6.power.lzout.out))\n",
-    "\n",
-    "wf6.set_output([(\"wf_out\", wf6.mult.lzout.out)])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf6)\n",
-    "\n",
-    "wf6.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "As we could expect, we received a list with two `Result`s, one is for `wf.x=3`, and the other is for `wf.x=5`. \n",
-    "\n",
-    "Behind the scene *pydra* expanded two workflows for two values of the workflow input:  "
-   ]
-  },
-  {
-   "attachments": {
-    "wf_6png.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_6png.png](attachment:wf_6png.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Let's create a new workflow that has two inputs and more complicated splitter."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf7 = pydra.Workflow(name=\"wf7\", input_spec=[\"x\", \"y\"])\n",
-    "wf7.split([\"x\", \"y\"], x=[3, 5], y=[2, 3])\n",
-    "wf7.add(add_two(name=\"sum\", x=wf7.lzin.x))\n",
-    "wf7.add(power(name=\"power\", a=wf7.lzin.y))\n",
-    "wf7.add(mult_var(name=\"mult\", a=wf7.sum.lzout.out, b=wf7.power.lzout.out))\n",
-    "\n",
-    "wf7.set_output([(\"out\", wf7.mult.lzout.out)])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf7)\n",
-    "\n",
-    "wf7.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We should have four results for four sets of inputs, and the graph should look like this:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_7.png": {
-     "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvQAAAFnCAIAAABGpEoxAAAACXBIWXMAAAsTAAALEwEAmpwYAAAgAElEQVR4nOzdd1xTV98A8JOEhEBCwgxDkI2iLAfIVKt1T7RDbWutHVa73o7HVqu2VTsftY+2T6fWituKuLeWIbIU2SDIhgBhhBAyyHz/uD4xZY+Mm+T3/fQP5F7OPff23nN+99wzCEqlEgEAAAAAGAszfWcAAKAjBAJB31kYGLxuAQBGDoIbAEwIzkMHgwi/AAD4R9R3BgAAAAAANAmCGwDAE3fu3Hn77bf5fP6wU4iPj5dIJH1t5fP5bW1tdXV1CKHz58+LRKJhHwgAAPoCwQ0A4InLly/v3r3byspqJIlQKJS4uLj09PQvv/yy26bExMTdu3c/fPgQIeTo6NjW1jaSAwEAQK+gzw0ApigrK+v8+fM7duzYu3fvuHHjHBwcQkJCWltbKyoqHj58GBQUhO1WW1tbW1t78uRJBweHjz/+mEwmI4RkMtm5c+dUSTk5OUVFRXVLPzY29vbt2wwGo9vvGQzGokWLWltbtXlyAABTB8ENAKZowoQJZ86cqaqqotPpjo6O7u7uCCE7Ozs3NzdVZIMQcnJyGjVqVEJCwqZNm0gkEvZLMzOz5cuX95++SCSaOXPm+++/L5VKsZAI09HRsWjRov/+978FBQVaOC0AAEAIghsATJOZmZm9vX1WVpZIJBIIBEwmEyGkVCoVCgW2w61bt2bOnHnjxg2lUmlra5uYmDhz5kxsk1QqPXPmjCopZ2fnqVOndkv/+PHjoaGh7u7uZDI5PT3d3t7ex8cH2/nevXskEikgICAjI0MXpwoAMD0EnA8NBQBoCoEwwPNeX19/48aNNWvWjOQo8fHx3dp1FApFUVFRQEBAtz0zMjJcXV1HjRo1+BwCAMBgQIdiAABCCJWWlv7+++8LFiwYYToKhaLbaKmHDx/6+vr23JPNZtva2o7wcAAA0BO8JwFgKvDfLoL/HAIADAK03AAAAADAqEBwAwAAAACjAsENAAAAAIwKBDcAAAAAMCoQ3AAAAADAqEBwAwAAAACjAsENAOAJba8Krg5WBQcAaAksvwAAeAJbFdzc3HwkiZDJ5EuXLtXX19NotBdeeEF908WLF21tba9evbp582ZsVXD1GYoBAEAjILgBwBQNclXwzs7Ov/76y9HRkUwmu7q6+vv7o0GsCt7U1ESj0V5//fVVq1Z1C26mT59eWloqkUgoFIr2zxIAYKIguAHAFA1yVXAqlWpubu7h4XH69OlNmzZhvxxwVXAnJycWi3X06NGPP/642yahUBgcHHzp0qXi4mJNnxMAADwGwQ0ApmjAVcEzMzP9/f2trKwsLCyamprYbDaZTMY2DbgqOI/He/XVVx0dHUtLS0NCQtRXBb948WJAQACRSHR2di4rK9PR2QIATAwENwCYqA8//LDbb9hsdmBgIPZzWFgY9kNQUJCjo2N9fb1qNzKZ/Pzzz/eTMpPJPH36tOqfYWFhRUVF2M9r165VTxwAALQBghsAAEIIlZaWHjt27K233ur2+zt37lAolP6/Q6nDVgVX71LTz6rg6p/AAABAU2ANXgBMBf7X3MZ/DgEABgHmuQEAAACAUYHgBgAAAABGBYIbAAAAABgVCG4AAMPF5aKTJ1Fd3ZD/UKlEJ0+i/Hwt5AkAACC4AcDEPXiAdu5E8+ej2FjU3Dy0v62oQAghW9shH5RAQOHh6OrVIf8hAAAMAgQ3AJiwlBR07hzasgVdvowkElRePuQUnJyQpeVwDu3ujohQ/gAAtALmuQHAyCkUCrFYLJVKe9l2+DAaM+bxz0ePImtrXWasV2w2m0aj0el0Eomk77wAAAwVBDcAGCelUikSidrb2ykUCp1OZzAYvey0Zg169llUW4u2bRvO1yWVlhYUH486OtD06ejePfTCC6jb4WpqUGoqamtDb72FMjMRm42WLu01JRcXF4lE0tHRIRKJIMoBAAwPBDcAGBWlUtnV1dXZ2SmRSKytrZ2dnQkEQp97R0ai4mL0zTdo3Dh08SKaPPnJptu3UVZW9/39/FBsbC/pxMejN95A77yD2GxUWYnKytCkSf/YobwcjRuH/vjj8c6LF/dzChQKhUKh2NjYSCQSLpeLnQiVSiXCZywAwODAfKAAGAmJRCIQCEQiUV+hwD/m/62sRGfOINXyUl9+iXg89N13Qzvk/fuosxNNm4ba25G1NZo8GSUnIxIJmZv3svO//43GjkWLFqFp09CNG4hCQbt3o3+ub9XrDMXdwjWIcgAAA4KWGwAMmyqmodFoDAbDxsZmUH924gSqrHzyT6kUvfDCP3YYfMtNayv64gv00kvI0xNZWqK4OLR6NUIIdXT84+NUSgpatw7xeMjCAqmtPDUgAoFApVKpVCoW5bS1tUGUAwDoHwQ3ABgkuVze2dkpEAgsLCyGENOorF2L1qxBAQFo/nzk6IheeAF1W9tyxgw0Y8agkrKxQba2qLMTTZ+O4uPRhAkIIaRQoOBg9PffyMPj8W5Yg83Nmyg6emhZ/R+IcgAAgwTBDQCGRKFQ8Pl8LKah0WhMJnOYCTk6oitXNJMnIhF9/jlCCD311D9+mZGBOJwnv8G+QGVlofnzR3jAblFOY2Mj1mna3Ny8vw5GAACTAcENAAYAG86tGvo0/JhGl+7dexLuXLuGSkrQa6+h6mo0caKmjoBFOS4uLtj1aWhogCgHAIAguAEAz7CWCR6PRyKR6HT6AEOfdI9IRH/9hZydkZ9fL1vJZGRh8fjnceOQUIh++QV9/z1CCCmVaM8epFBoLiNES0tLS0tLiHIAAAhGSwGAQ1oaH9TrWCRc0WAOu7V1QZQDgEnBe2EHgElRDX1iMBiWlpaa7SdrUsGNikKhEAqFHR0dWC8lylAGagEADBTeCzsATIFMJuPz+dqek9c0gxsV9fFlEOUAYNzwXtgBYMTUq1srKyszM+32gTPx4EYFohwAjB7eCzsAjI++PpQYRKcTXZZIEOUAYKwguAFAR3DVxVUul7e0tLBYLL1HPFwul0gk6ndwu1wuh6U6ATAmENwAoF3qQ59sbW3xMGxHLpez2WwXFxec1OJcLhchNORJlrVAfS0LiHIAMFwQ3ACgLWKxGIfLPSoUivr6evxENhj8xDcYiHIAMGgQ3ACgYer1opWVFU5iGoxSqeRwOPb29jisrfEW32AgygHAEEFwA4Bm4L/fhlKpbGhosLe3x23PWXzGNxiJRIL9/7Wzs8NPOxwAoFcQ3AAwIoYy4gaLbGxtbalUqr7z0h88xzdIa5NHAwA0C4IbAIZDfegTg8HAbUyjwuVyLSwscB7ZYHAe32AgygEAzyC4AWAIlEqlSCTCyXDuweNyuWQymU6n6zsjg2UQ8Q0GohwAcAiCGwAG1q0Cs7CwMIiYBmNAgYI6g8s2dpO0tbWRSCQmk2kogS8ARgmCGwD6g3UjNdyXcrFYLBKJDChEUGdw8Q0GV7M1AmCaILgBoBfGMQBYLBbzeDxHR0d9Z2T4DDS+wUCUA4C+QHADwBPqQ58YDIaBxjQYsVjc1tbm7Oxs6BWqQcc3GIhyANAxCG4AQAqFgs/n43849+DJ5fKmpiYjiGwwRhDfYLA1U7lcLp1ON447DQB8guAGmK5u79MGMUx6MIwsssEYTXyDMZTpkQAwUBDcAJOjGtVilN8I8LYopgYZWXyDgSgHAG2A4AaYClOYj0SpVNbV1RllZIMxyvgGA1EOABoEwQ0wfqqhT8Ya02DwvCimBhlxfIPBFinr7OxkMBiGO1IPAP2C4AYYLZlMxufzDX049yAZytJRGmH08Q3GOOYjAEAvILgBxka9ed/KysrMzEzfOdKFpqYmJpNpCpENxkTiGwxEOQAMFQQ3wEhgg2w7OjpMsMuCAS2KqUEmFd9gIMoBYJAguAGGDaZHM8E6XsVkzx1bFUQkEtnZ2RlxNzIAhg2CG2CQVEOf5HK5KS9SyOPxFAqFCdbuKkKhsKuryzSvgCkMAARgeCC4AQZGLBZDaY4x6EUxNQiuA0Q5AHQDwQ0wDOq9DaysrKDsxpaOcnFx0XdGcAHiGwxEOQBgILgBuIbN+QE9KLsxmkUxNQjiG3WqabhJJJIpf7cFJguCG4BHMFtrP+RyeUtLC4vFguqqG4hveoIe98A0QXADcERVEENM0xds6ShXV1eoonoF8U1fIMoBJgWCG6B/SqVSJBJBsTsgI14UU4MgvukfRDnAFEBwA/SmW+dHCwsLKGT7YSJLR2kENqTOzs4O7qh+YPNecrlcOp0ODaXAyEBwA/QAm4IMBnQMHrZ0FIvFMpHVJEYO+lwPHnRxA8YHghugOzB5/PCY1KKYGgTxzVBBlAOMBgQ3QOtUJSbENMPT0tJCp9MhshkGiG+GB6IcYOgguAHaolAo+Hw+lI8jxOVyzc3NLS0t9Z0RQwXxzUhgE011dnYyGAx4MwEGBIIboGHdxmJAe8NImOzCkJoF8c3IwTdlYFgguAGaoZoRFcaXakpnZ6dUKoXIRiMgvtEUiHKAQYDgBowIrGWjJTBZi8ZBfKNZEOUAPIPgBgyTqmiDmEbjoBrWEriw2oDN7CASiezs7KAoADgBwQ0YGplMxufz4XVNe2QyGYfDgQpYSyC+0RJoxAW4AsENGBT1oaFWVlYwlZyWwKKYOgDxjVZBlAPwAIIb0B9sgvaOjg4Yzq0DsHSUzkB8owMQ5QA9guAG9AKW1tM9hUJRX18PkY3OQHyjM6qhlCQSiclkQnkCdACCG/CE6k1LLpdDGaRLsCimXkB8o2Pw1gR0BoIbgND/VlGG1mO9wJaOsre3h69+ugfxjV5AlAO0DYIbk6Y+U4WVlRXENLoHi2LqHcQ3egRRDtASCG5MEbZeDAznxgMul2thYQGRjX5BfKN32NgFLpdLp9Nh7AIYOQhuTAis9Is3XC6XTCbT6XR9ZwRAfIMXUEwBjYDgxvhhDb+tra3wSoQrsCgm3kB8gysQ5YCRgODGaCmVSpFIBB+z8QmWjsIniG9wCKIcMAwQ3BibbhNnWVhYQDGNN2KxmMfjOTo66jsjoBcQ3+AW1lmws7OTwWBAZ0HQPwhujAe2fB0M58Y5qDvxTyKRcLlcWAQDt2BBcjAgCG4MHjznBkQulzc1NUFkg3+wyJdBgNIP9AWCG0OFfYfu6OiAFlpDAZGNYYH4xoBAlAO6geDGwCgUCj6fD33rDA4simmIIL4xONjXeZFIZGdnB1/nTRkEN4ah2zyeMOebYVEqlXV1dRDZGCKIbwwRLEgOILjBNdVqujCc23DBopiGDuIbwwVRjsmC4AaP4IE0GrB0lHGA+MbQQaFqaiC4wResW1xnZyd8MDYObDYbIhvjgMU3Dg4O8FQaNFVzOIlEYjKZ0BxurCC4wQWZTMbn86Grv5GBRTGNDPQKNyawILlxM7DgBuc331Avpvq04gwGA0pMbTCyewboANwzJkVTUQ7cNrhieMFNenaDvnPRu/CJzoO8mAqFQigUdnR0wHBuHSAQCK230/Sdi97ZzYgwrAfQRBAIhIfnH+o7F70bs3gM3DNaMsIoh0AgpBcnay97IxHuP9XUbhszfWfAhHR7cmAyNwAAwA8ikWhpaWlpaYmV1XV1dXQ6Hd4/DRQEN1qH9V/j8XgIISaTCTENAADgmSrKwXoOtLS0QCu7wTHy4ObS+ZMSiST2mZc0lWDug0wzshm7vtbSkhYV83T/O4vFYtXIQxhkYShuZ2WU1VY/9/RcGwZDIwk+rK5s5/NFYnFZbfXrsc9qJE2AKzK57NjlYyxb1tyouZpKk93MdrJ3kkglfAHfwcZBU8mCIcFGVDGZTG1EOZcSrkgkktjnl4w8KUxrSyvdik4mmzU3tTg6O2oqWQNlzNUtu76murr89s0LcplMU2l+++VGX7/xUdEzt3yyrq99sCWF2Wy2TCaztbV1cXGxtLSEyMYgKJXK41cvNre1ldVWayrN748eMiORpk8OO37tUs7DYk0lC/DjQtIFBp1xKeWSBtNct31d+Ivhr3/xulgi1mCyYHiwKMfFxYXBYIhEIjabzeVyJRLJsBNk1zXUVNbcvpYol8k1lckDP/45L2rx6mWvV1VorPgyXMbccnPz+vnQsJh16zeSzDR2mj/8copCMa+tqfTyGdtzK5fLxYZzMxgMGxsbTR0U6Ex2SZHnKLeNL79qprmRazs3vGdtxUAINbW2eruO1lSyAD+u372+5197Fk5dqME033zuzQUxCzSYINCIbm05TU1Nw1u6+OaV26ERk9949zWSmcaKmolhIRs//1BTqRk6A25OKMi7f+zwrwV59xFCv/+6SyGXnzj6W0ZaEra1sCD72uX49vZWkVio/leJty8fO/xrUWFO4q3LibcuD/Wgdvas4qLccwlHt3/5U8+tNBrNxcWFyWTCoG58qmtqjL9948C5eITQheS/8x+V3i8u/PbQfmxrFbv+h5NHSURiTeM/RuS18tr/vJDww4kj2SXFf5w7wxcIhnRQe2ubuqbGXYcP7v1osxWNpqlzATpzK/PWrrhdnaJOhVKx79g+hNBHuz/idfKwrTfTb9Y21ablppGIT556hVJx8trJfcf2VdRVXLt7LedhzlAPWl5bnnw/+UDCgaKKIk2dCNAgLMpxc3OzsLDo6OhoaWlR31qQW3js4MmC3EKE0O8/HlQo5Cfi/spIzcS2FuYVXbtwg8ttF4v+0SxXlF9y7q8L1y/dTL+Tcfav80PNEret/W5S2uVzV29cvjWCMzMSBtxy09UlJpFIzc0NSoXifuad19d9FBg8WSR8HMqMD5hIo1vNmrNU/U8a2HXm5hbzFix//50Xdu89/J9d26bPnK/aeun8ydbW5m5HCZsydey4IPXfeHj6BoeEnTj624cff9ltZ+huhnNVDfVjRnscvnwOIXTi2uV9Gz+lUS0zCvKxrR4uo0hE4ssLlzrZ26v/1YXkv19euPTjfbsbW5urG9nldbUhYx632yU/uPegpPuXJm9Xt4Ux09V/42zPmhMRtSvuj/DAYLqlpZbODmgDX8h3snOqqq/qknRVs6uxmCbAN8CcYo7t4DHKI2RsyIywGep/dTvz9oywGVmFWSevn5wSMCXnYU7ImBBsk0QqibsQp1Aquh1o+dPL7Zh2qn++vfJtIoEY4Bvw8qcvX/jhghbPEIwMhULpWfJ3ibtIZsTmphalQnk//f7rb78SGDJeJHwcyowPGkejW86aP1P9T5RKZWlx6dLnFq9f/c6WLzcd/ePEkuWLCMTHo08uJVxpbWnrdpSwyMljx49R/fOZVcuw/Vcve3XSlAm2draaPVPDYsDBzaTQqGNHft22fe/DkgIf3/EIIYlEEhg8GdvK5bba2Nl3+xO6FSMi6qmrl+Knz5hvZ8/aun2v+tYFi58f8KCdnR10OmPmrEV7vtuycPGKMf6BGjoboAvRIZN+OHFk+uQpcrmijc+zY1oLRKLJ48ardmC3cLpFNgih2KdmEQiE+8WFn697e2ZohDmFrNo0dcLkqRMm939QXmcnk04P9PGjkMlxF89teG6lBs8IaJuVpdUYjzHt/HY7pt25v8+FBYQhhLxdvamUxxNPP6p55Dfar9tfhQWEMWiM1Aepy2ctnzBmglQuVW2ikCmvLXut/4NeTL7IaeOsXbrW2sq6sbVRoycEdGHSlInH/jz12TebHxaX+oz1RghJJNLAkMdFTXsb16ZH5KGQy+csmtXU0GRubj7KzWXPL9+qIhuE0ILYef0fsaG+8Yd///TVf7YjhCwtLVqb2yC4MWBCIZ/JtLlx7ZyPnz9CiMdtMzd/XOKUlxV7ez3pFsPv4FkxmKeO73969pLkpGsvvryhgV3X0FA7cVKEap8BW24eFud/v3vrL/vPIoSYTBuJtEurZwe0IS0/9+VFSx/VVbs5OiOE0vJyokImYpskUqm52ZM3sA5Bp5Uljcvv+O7Q/udmzR/t7GJJpZ64dnnFnCetfYNpuQlfs+Le4b9oFhY2DGaXTIqAoXlY9XC893iEUM7DHKyFRtQlUm0tqSqZEjhF9c8OQQeDxtjx247P13/+oOTBl+98eTvz9qRxkyj0x7fWYFpu7KztvFy9EEJF5UXTJk3T5skBbREKBAwm48alWz5jvBFCPC7PnPq4te9RaaW3r4dqT34H34phdS8ju6W5TSwUTQ6fpFQob11LnLtotmqfAVtuGEyrKVGhCCG5TCYUirx8PJBpM+zgZty4CSlJ181IJE5jfWZ6kqeXr2pTeXmJ75hx2M9KhWLNC7OPnU7y8vYrfVjw6uvvJyVecRvt1e2j1YAtNz6+/sufXZP7ILO4KGfGrEWBQQO8sgMcWhA97UJyIpFIdLZzSLyXSbe0tDB/XOKU1VSP8fBQ7fnerq9fX/pseFCwjRVTKBZGh0y8kJIY5DtGPbXBtNz88K9P8x+VVjew5XL5GzAU3AC5u7hLZdLradcDfALuPLhTWl0aNSFKtfVRzaPVi1ZjPxdVFO2O233g8wPjvcenPkjd9OqmhNsJ9tb2TDpTtf9gWm4igiISbifUNNSUVJVsfn2zNk4KaNu4AP+Uv1NJZiROAyfzbpant7tqU0VZhe/Yx7WVUqFc88zrx84fcnZxqqmsDZkc/PeN5BtXbsVMj1JPbcCWGxqd5jzK6fqlm+y6hk93fqzBYTQGymiXX/h650fr39psbaO7drnBL78AdGnwyy/8deMqlUpd9M/uMloFyy/g05CWX3j767d/3PSjVvOjDpZfwK3BL7/wzbZ/v/n+G9Y2zIF31RBYfsEYpKbcrK+vRgjpMrIBBq2V1775v/9xtrP/v1Uv6zsvwGDsitsVGRzp4eKh74wAg5GalMauZSOEdBnZmCYDHgreF1dXd4TQ3PnP6DsjwGDYMJh+oz0mjBlnbWWl77wAgxHkG1RRV/HK0lf0nRFgMFzdXBBCcxfPHnBPMEJG2HLj7unr7uk78H4A/A+RQPjwxTX6zgUwMLMjoIoCQ+Pu5e7u5T7wfmDEjLDlBgAAAACmDIIbAAAAABgVI/wspS4jLamqqmzu/OVMpmZWekq8fVksEj16VLTyhXV29iyNpAlwpaax4Xp6aqCP35SAoIH3HoT0/FyymVlNYwPNwnJ2eKRG0gR4c+bWGYlUsmLuCo2kJpFKLiRdIBAI9Zz69c+tNyMZeUFtmjJSM6srauYuns1gMjSSYHpKhoWlRXlZxYTQEE9vD42kabiMueVGqVRePHe8rbW5puqRRhIsLMi2YljPXbB84qTIL7d/oJE0Ad58f/SQvbVNWt6QFwPqy4fffxfg7TdrSuRr27doKk2AK7VNtZX1lVdTr8rkMo0keObWmafDn142c5moS3To/CGNpAlwRalUXjxzua2lrbqiRiMJlpdWJJy6EDwpiOXE+uG7nzWSpkEz5uCmqPCB22jPN978V2BwqEYSrCwvTU2+jhAKDJr84P6gpk4BhkUilTa2NC+eNuO9lS9pKs0z/95nTiHXNjX4e3lpKk2AK1fuXIkIjtj/+X5NNbFkl2TfL7qPEAoZE5JZkKmRNAGuFOUXu7m7vv7Oq4ETAjSSoJev58bP3kcINdY3+oyBosaQg5vGhvrrVxNOn/oTIfT3rYulDwsKC7L3/7ob21pfV3300M8EEqmhoVb1JzKZ7Orl+N9++g4hJOjkHzr4w5COuGDx82+/txUhVFKc6+k9ZsD9Ad5IZbJTN65+c/B3hFBFfd3xa5e7JNLV2z7BtvIFgu+PHjI3N79fVEAgPFnV5crdlO2//9QpFCKEtv/ey2rw/XO0s8t5WHz40vlfN3+hofMAOpXzMOfg2YPYyt4/HP9BrpD/ef7POw/uYFtzS3PPJ57ndnDV12RgN7MvJl88dvkYtsPN9JtDOuJX73yFrfNQVF7kOxrGfhqepoam65duxh9LQAj9fT2ptLisMK9o/48Hsa31teyjf5wgEEkN7CcLh8llsqsXrv+2bz9CSNApOPT7kSEdkUAg2Nhap9/JqKmqXbsB5usy5D439XVVnp5+5xKOIYQuXTi95bM9Fpa0vJwsbOsoV3cCkRi77EV7ByfVnzwsyZ86bc5HZ19GCOXlZinkctUmiaTr5LH9PedwXLR0pY3N4wVfCAQCgURSKpWXLv716bY9Wj07oA15ZaXzo6au3PwRQuhqaoqbs7M5hRwyxh/bakWjOdjYeruODh3/ZD3UDkHnKAfHE7WXJDJpp1CYV1amnuDxq5c43O4LvkybGKpaNhzjO9pjSkDwL/EnvnnnQ62cGNAmsURMJBGbWpsUSkVaXto7K9+ZMHaCUCzEtgb7BdMt6QtiFqj/SU1jjbebd/zNeITQ9bvXZ055sv5zdUP1tbvXuh3CnGL+8qInFRLWAsTlcx/VPvrmvW+0dF5Ae+pq6j29Pc6dvoAQunT26pYvP7GwpOZlF2BbR7m5EAiE2OcW2bOeLNP7sKhs6ozof23YhBDKy85Xyp+sPiaVSE7GnVb0qJ4WL59vbfukOymRSPIPGJt7Ly/pZsqchbO0d3YGwYCDm0mhUUcO/TQlYqpCLu/gtVnb2IqEgoDAiaodmjkN6pENQmh8wISiwpyxYwMRQvfvpU6dNle1iUIxf2nNW4M57pnTcS+t3uDtM3bgXQHOTPIfl11SHOw3BiF0Jzf7hzmfIoSC1ZaLKq6sWLPoHyuOMWj0cV7e7Xy+LYN5MyMtIihYfevKuf+o0nrVIehk0OhLps/45Mc9K+csxI4ODEh4YPjBswe//b9vi8qLxnqMRQhJpJIJYydgW1t5rfbW3VeSDw8M339mf2RwJEIotzT3vRffU21yd3Z/Y/kbAx5UJpcdOn/o6/e+plvSNXYmQFcmTZl45MDxKZFhCoW8o51nbcMUCUUBweNUOzQ3NatHNgihcUH+RfklY8b5IYTuZz6YOiNatYlMobz42qr+jyiTymRyGdOaOW/JnLXPvzl7/tPqi4qbIAMObhBCOQ8yli5/sbq63NnZFfvnxMmPR6NIpRIy5ckKz9iq4Aih7Ht3J06OQggV5N1fty8CGZoAACAASURBVOFj1Q6DablBCN1JvhEcEurt63/j2tlu624Cg5CelxMVMlGpVLKbm+yY1hxumxWNptpaWl3p4/Z4iq0uiVSukFtSqXllpcF+YxFCydn3FsT8Y4nmAVtucksffvrf/1zc+zNCyJbBlEgl2js1oD0CkcDayvpyyuUxHmMQQtwOLpVCxTaVVpf6jPZR7cnr5GHLZN4rurdi7gq+kG9OMaeorTY/mJYbhNCpa6dejX3VytLqUsqlbs1CwCDk3M+LfW5xdWWt8ygnhFDOvdyJYY8DYplURlGrngR8gSXdkkAgZGc+mDhlAkKoIKfwzfdeV+0wmJabU0fiOzsFb7yzlmHNlMlkCoWcRDTs+n2EDPvkp02fm3jrMoFItHdwykxPsrSkm5s/LnGqqx55ej5+RVatCm5uTh0fOLG4MPf0yYNkMplMfnJ7DablJj/v3s4v3qfTrWQy6ShXDwhuDFH0hEmX7yQJhKLpk8Ku3k1BCM2NjFFtlSnk5hQy9nPc5XM8Pv+jl17xcHEhEAjnEm9fvJO05bU31VMbsOVmvLfP2qXL0/Nzcx6WLJ72lPoHL2BAAn0Db2feJpFIDS0NqTmpPm5Popmy6jJ/z8dfNhVKxfIPll/88SKVQp0SMOVu7t3UnNRJ/pPUkxpMy82BhAN/nP3j4LmD4i7xs7NhJXmDNG1mzN83kghEor2DfebdLEuapTnVHNtUVVHt4fNknuIvt3777IvLJ0wODggeV5Rfcrr+DJlMNiM/qZ0H03IzZ9HT+Q8KM+9mZd6998W/t8Kq4Ea7KvjVy/FUc4vpM+f3ujUt9e/KitJVL63TYN5gVXB8Gvyq4A0tzXuPx/XVLUYgEm34+otD2zXZAQJWBcenIa0KvuW/Wz546QNbRu/L9O46tGte9Lzx3uM1lTdYFRy3Br8q+NUL16lU6vRZU3vdmp6SUfGoatUrz2swbya4KrgBj5bqSzu37bMtbz0qK5oUGtVtE5/fsW3TeoTQrRvn5y2ElTXBEys2fZhZkP90WC+T7K3e9om4S3Lo4rlXY+GeAU8k3ks8fPEwQqhnZJOSnXLowiGhWFjPqddgZAMMXTuX99nGHY8elk+aMqHbpk5+57aPvkAI3bz69/wlsGzZSBlhyxWTae3h4Tva3RvrZKPOyooRGfP0uYSjS5a9oN6TBoCnp0S0d3YsmT6j56YX5y++mXnX3tp66oTJus8YwK3RTqNrG2uXTF/Sc5PPaB9Rl+jk1ZObX9us+4wB3GIyGZ5e7m6eblYMq26b6Fb0yGkR5/66sOTZhepjoMDwGO1nKd2Dz1L4NPjPUroHn6XwaUifpXQMPkvh1uA/S+kefJYCAAAAADBsENwAAAAAwKgY3mcpfWehP4Z1MU0E3DNgqOCeAcMAtw2uGFjLjXIQMn7IyDuaN5g9BySXyk+vPC3gCAa5v74vD+jFYP7HCTiC0ytPy6XyEdwsT+Qdzcv4IWOQO+v78oBeDPL/3emVp5vymoZ7m/yDgCOIezpukHegvi8P6N1g/t/V3Km58u6Vkd0sTwzpDtT35dE1AwtuBsTJ59TerQ1cpZmp0ohmxHl758WvilfIFAPvDQyTQqa48t6VeXvnEc008zgErgqsvVvLyedoJDWAT/nH8t0i3ViBLI2kZulgOf3z6dc/vK6R1AA+CZuFiZ8nzt6tsWHesXGx1z64JhVINZWgMTGq4EYqkJ558UxsXKwG04RCx+ilfJUS9laYpYOlBtOMjYs98+IZKHSMVXtVe+nF0rC3wzSYpluUm4WdRdnlsoF3BQZIIVPEr4pffmy5pl6iEEJEM+LyY8tPLD2hqQSNiVEFNyeWnlhxboUGbx0MFDpGDPvf6hblptlkiWbEFedWQKFjlBQyxYklJzT7EoWZtm1a+vfpwmahxlMGepfyVcr0z6dr9iUKIWTpYBn+fnjmj5maTdYIGE9wk/ljZsgrIdYe1tpIPGZzDBQ6xkfYLEz/Pj1mc8zAuw6dtYd1yCshUOgYn4TVCdp4icKsOLsCvoMbn9rUWqSFlyiM73zftrI27BBAxUiCG812tekJa/2DQseYaKOVuJvAVYFtZW3Q+caYZP6Y6bfQT0svUQghMo08Z88c+A5uTITNwsz/ZmrpJQoze/fsxM8T4fVbHR6HgksF0q/oX+k7FxrzmfIzfWfB+Clkih3kHfrOhcbAPaMbXxC+0HcWNAluGx2A6slQ4DG4GarDsw4v+n2R9t6l1CVtT3KZ7OI731cHxwLaU3a5jH2PPW3bNB0cS9gsjF8V/9KNl3RwLKA9UoH0QOSBN+6/ob2mPnW6LNaA9iRtT/Ka6aWlD1Ld6LJYwz+D/yyV+WNm+PvhOisCoMefEdBqV5uesB5/SduTdHM4oCVaGq/QlxVnV5xYcgK+gxs0LY1X6IvvfF9Rqwg632AMO7jh5HPaytp03I4CPf4Mmg662vQEhY6h0+p4hV6RaeRlR5YlrE7Q2RGBZun4JQoDnW9UDDi4kQqk1z64psEJkQYJevwZtOsfXp+zZ47GB2QOCAodw6Xt8Qp9YQWy3CLd8o/l6/i4YOT08hKFYOyLGkMNbhQyxYmlJ3R/62BYgSxbX1sodAxO2eUyW19bTc0qOyRQ6BgobUwNOnhhb4flHMxpr2rXy9HBsF3/8Lo2ZrUZDGzi2ZSvUnR/aFwx1OAm5auU8PfD9XLrYKDQMThYK7FmZ5UdEqzzDRQ6huXE0hOrb67Wy0sUBjrfGJyyy2UWdhY662rTE3ZoE/8ObpDBTW1qrahVpPchS1DoGBCslXjF2RX6zQZ0vjEs2HgFPb5EIeh8Y2j00tWmp5jNMZn/zTTl7+CGF9xofO2xYYNCx4AkrE6Ys2cOmUbWd0ag843B0Mt4hV6xAll+C/3gOzj+6aurTU/Yqs9X3rtisq/fBhbc4OfWwUCPP4Og2QWcRwjrfGPKhY5BEDYL9TJeoS+BqwJLL5bCd3Cc09d4hV5ZOliGvRVmsmNfcBEiDJ7eu9r0BJ1vcK69qj3nYI4eu9r0hBU60PkGt/D2EoWJjYuF7+B4psfxCn0x5VWfcfToDggnXW16gs43uIUt4Kz3rjY9QY8/PMPhSxT631LzR+cd1XdGQC/0Pl6hLya76rPBBDfY2mP4aSVWR6aRV5xbAZ1vcChhdcKyI8vw0NWmJ+jxh0+4fYlCsNQ8Xilkirin43D4EoVMeBIKwwhuFDLFlfeuzNs7D1etxOqsPayhxx/e4KqrTU/Q4w+H8DNeoS+BqwJr79bCUvO4gueXKPS/mW9MrfMNTmOFblK+Sgl7KwxvrcTdQI8/XMFhV5ueTLzHH97gs6tNT7FxsWdePCMVSPWdEYAQ7l+iMCbY+QbXzzAG65egxwmRBg/r8QeFjt5hXW1euPKCvjMyMBMsdHALn11tesI635xYekLfGQGG8RKFMbXON3gPbrBWYr1PiDRIUOjgRMLqBF0u4DxCplbo4BOeu9r0BJ1v8AC34xV6RTQjmtSqz/gq/bs6uq5/dL3ydiX2T4VMcWTeEa+nvXrWUpwCjlKu1HkGB6Ze6Nz/9X7qd6mqTUq5Mn5lfK9/1ZTbpKP8GaNu1/n+r/eFzcKeCziLuWJeDU+3WRsU9R5/NXdqrrxzRcKXqLYmbU/iFPTSwQLumZHodp2FzcKL6y9OWDuh5564vc7qnW/ufH0ne3+2apOwRXhpw6Wef4LbR8BQdLvOR+Ye8Vvo17OrDW6rJ/VVn42+esJXcFOdXO23wM9zhif2z+sfXg94PsDjKY+ee7ICWAQSQZd5Gzys0GnKa2p71Bb5r0jV7wkkgq2Pba9/4hjsqKvcGRulUql+nTn5nIqbFd6zvXvuSbWhMkczdZu7wVL1+Cu7XDZ712yKFUW1SSlXOvg79PwTuGdGQv06Y+MVfOb4sAJ66TaB5+scGxd77YNrnY2dcol84msTVb8nUUg2njY998fzI4B/XR1d6tc5/1i+rY/tmCVjeu6J5+oJW/W57FKZ0VdPZhpJRalQVtysqLxdaedr5xjk6BLqgv2+8nalmCvGfiaaEf0W+xEIBIRQS3FL0emi0LdCc+NyJ746Me9I3uT1k5UKZcnZkrFLx2L7Y2uPybpkTsFOCKHq5Or6zHqqNXXiaxPrM+tLL5Y+tf2pxgeNeUfzvGd712fWR38SrWrg6ajt4NXyCk8WWjpYRn8cTSQPLYbj1/PLr5dLhVLXcFfnSc7YLzn5nNbSVtU+njM8qTZU1Wmys9hjY8e2PWrjFHCiNkbFxsX+HPizw3gHfh2f4cbAdpN3yc2oZtgP6XvTlQplwPMBlg6WRX8V0RxpbhFuad+nWbtbkygkVgDLaYKT6lg1KTVNeU0UK4pCpuj15dJA9XpeQ7rOCCFuOZdXy8OuM7aA8+xds7E7Qf06y8Syovii0A2hBAKh1+vc1z08SEq58t4v95juTGGLMGRNCPZLhUzx8PxD9L9XOLoTXdV1jJ3Ffnj+4VM7nsrYm+EwzsHSwdItyu3hhYe1qbUtD1scg56UJkqFEiso1R+ByluVDdkNkf+KrLxdWXK2ZPxz4+sz6iM+jFD9VcP9BjFPXJ1Ubc40j/jgye8NXa+P9pCus1OIk6hVxK3gqq4zNl7h0dVH2HXOO5zHZ/NHhY3yeMpD29e5KrFKKpRW3qqc9e9ZBOLj6rCvYlPSKcHKCmGzcMziMfd/vx+1MWr5seV/PvXn+GfHSzolFPrjmJh9j+0y2QUhxC3nFicUKxXKKe9Oaa9s1+ojgFtDrZ56vc4IoZKEEmwrhU5pr2ovvVjqMM4Bq57Ur3NTXpPuq6fOxk71SbNYgSw7Pzvs556PQNjbYX9E/WFha9Fr9YTUHgGXUBfsUvjO9y04XlCfVT/+2fHNRc0TXn1SDeG2etJMcIMQ8prpVX6tfMKrE9Sb41RtMN3Y+tpKRVKqDVXYIiTTyFgRQyASLGws/Bb6of9NiPTClRcSP0/E/sRlkouEL/Ga5YUQcgp2Kr1QqpQrWYEsIono9bRXdVI1dl9i6E50q1FWJQklMZtihhFBZ/yQEfWvqJxDOeqfNliBrL76w9t42bQUt9TerXWPccfKF6IZcdmRZadXnlbdOgihxpxGh/EOSrmSZE7ymullzjDHtsq6ZA7+DhQripWLlcd0j6rEKlUhhXENd63LqPNf5k9j0YZ6LnjW63kN6TojhMwZ5i6TXbAreWLpiRXnVhSeKpzwygSEUPfrLJKZM8wRQn1d517v4UF6dO2R1SgruhNdIVMolUrsbiSaEf2X+fe6v9MEp+Izxe1V7RQ6heZIs3a3RgjN2Dljn88+K2cr1W5KuZJAJMi75CRzkvojYOlgSXemKxVK96nuj648Gh09+tGVR0q5UnW3OwY5NuY22o+1H//c+KGeC571+mgP9Tpb2Fkw3ZhYsYNVCa7hruXXy7Hr7D7Vnc/mY1Wgtq9z/tH8Rb8vqkurQ2p3XF/FphnVjEgmWrtb196tpdpQXcNdsRyOWTRGIpCo38zse2zsEbDxtnEMcnSe6EwyJ9n62mr1EcCzIVVPvV5nhJCZhZnvAl8KnYJ1tXnj/huq6kn9OuuleqI70f2XD+ERWHZ02YHIA3Rnumo3VfVEIBHUHwGsekIIsQJZUqGUxqI1FzerPwK4rZ4081lK1Cp6cPABkUysTq7u4nepfl9+vbzwZCH2X3F8sVL5+MYimhFtvGxqUmqUCmV1UvWosFHY77GOTgqZ4q/n/or6OIpoRiSRSQ3ZDUq5MuvnrNbS1kdXHyGE+A18c4Y5t4JLNCNa2FoQiASiGbHhQQNCqPJWJUKo/Eb5oyuPLGwtqhKrhnE6bhFuTXlNrQ9bG3MaVb9szGlUnUvhyUJRm0i1iWxBJhAJHXUd3EquhY0F9ku5RO47zxfrfIPlSiqStj1qQwjV3q2tSqwqvVQq4AiIZkRRm6i9up1oRuziddl424i4oo66DoRQF6+r4X4DQijrp6wuXhefzW8paRnG6eBWr+c11OvMLedij2vmj5mjwkZZe1ibmZux77FRj+usVCobcxp7Xuf6zHoJX9LXPTxI9mPsZWJZ2eUyXjUP/a+7nkKqKDz15Fyqk6tV+xPNiJb2luwstlQklQqk5kxzhBCBRBizeAzW+QbLlVQoVcgV7dXt3R6B5sJmIomokCoEHIFjsKOkU0KikLAWL+xmyzmU01LcggioPqt+qOeCZ70+2kO9zkqlUqlQov8tIDXlnSmq69zZ0FlwoqAuva4huwFp/zqPjhn96Oqjro4urPh6fI59F5sWthZ8Nl/eJa/PqLfxevzhyZxhLm4XY1EalivVI5B3OK+luKXoryLsz7X6CODWMKqnXq+zqqiJXxk/Y+cMVfWE/nmd9VI98dl89WJTvUTt9RHobOiM/DASm3i2W/Wk/gioqieEUHNRs+cMz/aqdgKR0NXRhf/qiaD6P4oHyTuTp26ZevW9q+OfG28QY7/7kX803y3K7dbmWzGbYnA+BYJBw66zhC9J+Tpl+bHl+s7OiPDr+eU3yl0muWTvz567d66+s2O0sOsc9GLQ0XlHlx9bjv+x3/1L3pkc/Um0cZwLnmHVEzZTa+CqQH1nZ0SwYrP0YqmFrYWhn0tfcNShOHlnsvtUd6yrjaFHNgUnCmRdMmsPa6zHH8x8oyXYdaY50M68eCY2Llbf2RmR1tLW7P3Zfgv8Hvf4g5lvtEN1na9/eH3659MNPRrI+imLNZ5lslPs6wx2nTn5nNKLpYYeDaiqJ+Ne9RlfLTfCZmH8qviXbryk74xoklGeFK4cnnV40e+Leo79NmhGeVL4UXa5jH2PPW3bNH1nRJOM8qTwQyqQHog88Mb9NwxlAq3BMMqTwuDofLC5zw1lQqTBs3SwDH8/HKbb0pLMHzPD3w83viAAlprXHmy8gqFMDTp4vvN9Ra0iWGpeS7DxCkYWBJBp5GVHlhnlqs84+v90/cPrc/bMwe3aYyPhO9+3rawNCh2N4+Rz2sraDGVW2SEx4kJHvwxlAanhmb17duLniTDbtcZl/pgZ8kqI8b1EIYRYgSy3SDfjW/UZL493/rF8W19bI+54C4WOxkkF0msfXMPzAs4jZKyFjn4ZR1ebvkDnG23g5HNq79YaelebfoS9HWZ8qz5rvs9Nc3OzQCBwdXU1MxvsJDrtVe0XXr9g9L1SsM43L1x5oZ9XRoFAcOvWrba2tnPnziGEZDKZTCbr6OhgsVgIoSVLlnh7e0+cOJFGw9eMAiMkEAiam5sdHBwGf14KmcJEhocMpvNNXl5ednZ2cXFxaWmpXC6XSqUIISqVihCKiIhgsVgLFixwcOhlmmODVlVVhRDy8PAY/J+UXS7jVnANYpnDkahNra24VdF/55vm5uZLly61tLSkpqYihCQSiUKhIJPJJBLJwcEhMjLS29s7IiJi8MW4QRhG9WTEvVLUKWSK3yb91v9pymSytLS08vLylJSUtrY2rHoiEokUCgUhtHDhQgcHh5kzZ+KkehppcINVxgcPHsTOEyHk7u5Op9Pz8vJIJFJ7e7uTk1NUVNTLL7/cV9mKXdNX775qlB+kulH1+JMKpCRzkuo2wgqa/fv3Ozk5hYWF2dnZYdGMOrlc3traWlNTU1hY2NjYuHHjRvzcRkOVl5d3/PjxkpKShoYGGxsbGo3m4eHR1tbW0NCAEKJSqWPHjp0/f34/ZWvS9iSXyS5G+UGqG/WyVSqQqh4TrKA5fPhwXl5eSEhIaGgog8HAAhp1PB6vvb09Kyvr0aNHU6dOXblyZVBQkM5PQgOwZ+TcuXNYNSyXy4OCgjo7O6urqxFC2AvAK6+80s9DYVJd+5O2J3nN9HKLchM2C9VfAKqqqk6fPp2QkODj4xMaGmphYdGzqBGLxR0dHTU1NVeuXAkJCXnppZcM9IVK9YwUFRVZWVkhhFgsloODQ1VVlUAgQAhRqdSoqKjZs2f381CYTtf+9qr2W5tvLT+2HGv2U1VPqlq+vr5+3rx5o0ePtrOzI5FI3f6cw+G0trZmZmY2NDTExsb2U+nrxjCDG5lMdvny5e+++w6rjP38/Hqeqkp1dbWqbN2yZYvqIck/lh+4KjB+VbxJzQSDzeJTcasi8sNIMo0sEAh27tyZlZW1dOlSV1fXfi6jOrlcXlpaev369dDQUPVLinN5eXk//vgjVhlHR0czmX0uc8Pj8crKylRla0zM476fZZfLvGd712fUF54qNJ2ZYDj5nJSvU2I2xfBqeVg8FxcX99NPP82ZMycgIKBnQNMXHo93586dpKSkkydPGkqIIxAIfv75Z1Vl3M8zgj0UWNm6fPnyd999F4uMhc3CzsZOe3/7o/OOrji7whReohBCCpkiYXXCvL3zrrx3BZv/qbKy8oMPPmAwGKGhoe7u7oNMRywWFxQUXLt27c0333zxxRcNpSHn4sWL33zzjaWlZURERP/PCIfDycrKys3NnT59+htvvOHp+Xja4rLLZb7zfTN/zLTxsjGFlyhM/rF8UZvIxsvGYZyDtYe1TCbbt2/fsWPHnnvuuf5r+W6wSr+jo+O3337TV4gznOAGK1iXLVs2pLNFCHE4nOPHj6vq4/hV8X4L/URtIqNvJVaHfU8xZ5gvO7nss88+u3bt2vr163u+PA0Sh8P55ptvPv30U5yXO6qCdeHChYOvjBFCYrH41q1bycnJly5d8vT0rE2tFbeL0/+T3v/XPeOTfyy/9m5t5EeR+bX5n3zySURERHR09JCePhWxWHzx4sWOjo49e/aoinIcUhWsa9asGXxljCkuLj5z5gxWHxMR8fqH1wXNApN6iUIICZuFV9674hruGvBqwEsvvaRUKletWjWkp09dcXHx/v379+zZs3DhQs3mU7NSUlKG94DweLz4+HgCgXD48GEajZa0Pclnrk/+0XzTeYnCxK+KF7eLnz///JEjR3755Zdly5b5+/e+sMOAutX4ms3ngIYW3OTm5m7YsGEkBStCqLq6+siRI2+++WaAOODBgQfh74c7BjqaSKHDyecUJxR31HWwa9m7y3e/9tprw75v1BUXFx84cCAlJWXYQZL2CASCkResqvp419Zdl569FPmvSHOGuRH37+smflW8W6Rb6vepBdEFZAvy3Llzh/30qYjF4p9//nnNmjWrV6/WSCY1S/UGNZIH5N69eydOnDh16lTdL3UIodExo71neRt9Jy0M9gpel17XNqrtt79/W7du3cgLB7lcfufOnczMzNu3b+PwVYrD4TzzzDPjxo0byQOC1cdTpkyJ9YrN+k9W1MYoGy8bQ59UdpCEzcLknclUG2rakbS7/ncnTpw4efLkkSfL4XB+/fXX/fv367i1eAjBTVxc3J9//vnuu++OvGBFCCUlJaWlpB3+5rCtpy3NgWYibcWYxMTEjRs3/utf/xp2Zd8Tj8eLi4vbunWr6gsOHnA4nJiYmI0bN2ok6uLxeJ999tkvH/0SOi8UIWQKX8FVmpub165dGxMTo5FoWOXEiROjR4/esWMHfuoqmUz21ltvEQiEBQsWjDw1uVyekJBgpbDatnEbxYpiakXN1q1ba2pqYmNjNVJoYzgczr///e/k5GRcvUpptlAtLi7+++bfO9/c6T3Rm0KjmEhAjKmsrJwzZ862bdv66TYwVHK5fN++fTp+lRpUcKPZ4kalurr6+PHjZ8+eNb5xHP3YunVrQUHByy+/rMHiBoPdQEuWLHnvvfc0m/LwpKSkfPjhh5qN4eRy+c6dO7dt27Z48WJNpYl/HA4nOjpas8WNSnFx8fnz5xMTE/EQ3wgEgtmzZy9ZskSzMVxSUlJFRcWpU6fwcI66IZPJnnvuOS8vr2nTND9hMd5epfbs2ZOSkqLZQpXH423fvv3atWt4/nSrcYmJiR999NGWLVs0Xj0hhE6fPu3i4vL1119rPOVeDRzcyGSyGTNmLFy4ULPFDYbH4+3bt+/ixYu4egnQnri4uGvXrq1YocVZmE+fPr18+XK91/3nz58/ePCgNmI4hNDp06c9PDy++OILjaeMQxwOZ+HChZs3b9bGlVQd4uDBg3qPb5qbm6OiorQXw6WkpCQkJJhIfPPMM8+EhYVpo9DGyOXyr7766uTJk3qv+zdt2sTlcjX74o3BXqW+//57nMRw2paSkvLZZ59p6uNMr+7duyeRSHQT3wzcJfOtt97SUmSDEGIyme+++25MTAw2jNy4paSk/Pnnn1qNbBBCzzzzzPbt2/Py8rR6lP7l5eX95z//Wbt2rZYekmeeeSYvLy8xMVEbieOKTCaLjY3VanGDEGKxWIsXL966dav2DjEgmUy2du1aLUU2CCF/f/85c+bMnDlTG4njzZ49ezw8PLQX2SCESCTS5s2b58yZ09zcrL2jDGjv3r1aimwQQiQSacuWLTt27OBwONpIH1c4HM6OHTu0XdRMnjyZzWafP39ee4dQGSC42bt3L4FA0OpDwmQyN27cOGPGDOOOb1S3jg6OtWXLltdee01fhQ6Hw3nttde0faYvv/zyxo0bjb7QmTlz5sqVK7VU36vz9/evqamJi4vT9oH6smLFipiYGK2eqbu7+/Tp0z/99FPtHQIPEhMTU1JStPE1qhsSibRt27alS5fqq+hOSUlJTEzUUmSDIZFIq1evnjp1qnFXTzKZLCYmZvXq1VqNbDA6e/3u77NUbm7u+++///7772s7Ewih4uJiHo/35Zdf6uBYehEdHf3mm2/qoJbCYBezuLhYN4dTkclk06ZNW79+vQ7OVCwWf/rppw8ePDCUaX6G6s8//6ysrNTIgIVB+v777w8cOKD7Dw179uxhs9k6qI8RQqdPn37llVemT5+ug2PpnkAgeOqpp7T6EbMbfRXdHA7nxRdf3LBhgw7OlMPhHDp0KDk5WdsH0pfY2NiFCxfqrHOIXC7/5ptv7ty5o9VvxP213GzYsEE3LQ0IIX9//7S0tMrKSt0cTseOHDkSHh6us8gGIcRkMhcsWJCSkqKzI2KOHDmyfY3ohgAAIABJREFUZMkS3ZwplUp99913d+7cqYNj6Z5MJvvll190GdkghNavX//BBx/o8ogIIYFAcPnyZd1ENgih2NjYTz75xFhfxHfu3Llu3TqdRTYIIX9//4yMDGzCX11at26dbloaEEIsFissLEz3xaluVFZWMhgMXXZ7JZFIy5Yt27dvn1aP0mdwExcXFxERMZJbZ6izA+qlYNUBmUy2ffv26Ojobr/X4KJevSYVHR2t40JcIBD88ssvI/mIOdRr4u7unpWVpfuCVQc+++yzZcuW9fy9pm6bXtOhUqkMBkPHHbY++OCDlStXjiSFIV0TrGA9cuTISI6IT5WVlVlZWT1rKU2vH9jdypUrX3pJp4taYPXxSF6ihnpNdF+c6szLL7/cc2JGbVdP/v7+P//8s1aLbtLnn3/e87cymWz9+vWrVq0iEnuPfioqmEVFtkIhJTl5lKcn75dfgthsup9f+x9/jCsqsgsKarlwwevUKR8KRfHwoW11tVVTk2V1NSMvz97Pr891R83MzMrLy729vR0dHTV1engQFxc3ZsyYbiVOTo7D5s1RdnZddXVWycmjxo7lkkjKmhqr9HQnLpdaUGDv6ck/csTv0iUvN7fOH38MEonI9vbib7+d7OIibG62zMhwrKuzqq21cnAQ7949sbaWXlRkx+NRRo/uVB2CSCTK5fLGxsaQkBDdnOlnn30WHR1tbd3n9DO3brl1dJjn59uZmaHaWqsvvpiyYEFVaan1jh2hUVENpaU2W7ZEurvzKysZd+6MIpGUFRXMv/92DQpqIRD6PKiXl9e33377/PPPa+WU9EQgEOzatatbiVNXR9+6NVwkIre3UxITXZ2chHS6VCAgX7vm3tlJyc21d3QUZWc77N490d+f+9dfPnfvOoeFcfbuDebxqLa2XVeueLS2Uu/dc/T3bzt1yvfqVQ+h0CwpyXXChH/0zfLy8tq6deurr76qmzOtrKw8ePDg008/3dcO9+6x2Gx6a6tFYaEtlSr/7rtJLi5CAkH5n/9MoFLl9vbifftCSkutJRKzO3dclEpUUWGdk+PQ1WXm6CjsK00HB4ctW7a8+uqr2IJ/RmPt2rU9p8o8fdr34MFxNJq0tNS2sNB2zJh2hFBmpmNVFbO+nl5fT6fRpD/+GFxezjA3V3z1VaiPD6+11eK//w0OCGhNS3Our6dnZ7MoFIVQSP700wgmU3L2rLe7O59Ol6oOQaPRHjx4MGXKFBsbG92caWRk5Lp16/r6qCEUmt2+7drVZXbjxuigoNYLFzzPnvWJjmYnJo46cCBgxoy6YVRPui9OdSMlJaWxsXHcuHHqv9RB9YQQmjBhwtmzZ/t59keo99jlyJEjy5Yt66fZJj3dkcGQ+vlxg4ObqVT55MlNIhGJSFRGRTUIBGYIoVmzamprrcLDm2bOrD140H/iRE5UFPv2bdf+c7Nw4cINGzaM5Hxw6Ndff+3ZmBES0sxkiiMj2VFRbCZTcuqUr0JB+PXX8XPm1ISGNpHJiqtX3Z99tryjg+Lh0eHry1MoCNbWXXPmVHt68n77bfyCBVUzZtSmpjqRyfKoqIaODsqiRZXjx7d1O8q0adN+/fVX3ZymQCDIysrqZ5p8sZiUm2vv6dkRHt5kYSENDGwhk+UIIT+/diZTihAhMLCVyZQ4OgojIhqLimxIJOWUKY3NzRZsNr2f47JYLKVSqd8hGxq3c+fOno0Zrq6dY8Zw/f3bIiIao6PZe/ZMQAj9/nvAlClNkyZxJk3i/PRTUEREI50utbUVh4U1SaUkAkEZHt40Z071Tz8FRkWxo6PZSiUqLLSdNaumspIxc2bd3LnV3Y5CpVIDAwN11njz9ddfr1+/vp8d7t51cXYWBAa2uLvznZ0Fo0fzZTKCnZ3Yz69dKiWam8tjYtjt7eZhYY2BgS3x8T4REQ2TJ3OuXRvd/3E/+eQTI/ug2dzc3GtjxsyZNRYWsqiohqefrsnPt8/Ndaivp2dmOkVFsSMiGrKyWO3t5nPm1MhkZmPHci0tZRSK3MVFsGzZIy7XPD/fNiaGvWRJxfHjfq6unf7+bQgRVqwotbMTdzvKqlWrdDZ/SUpKyoIFC/qZPaukxEYoJPv4tIeHNyKEZsyo6+ggI4SmT68XCMhouNWTLotTndm0adPcud3Xl9BN9cRisbTa7t57cLN///7+Py7Mm1eTleX41lvTcnMdEEJmZo8bntQaepT29mICQUkgKO3tuygUxWByQ6VSnZycjOkrQ15eXnBwcK+biEREIikRQuPGtRYXW3M4lgg9bqBwde3My7O3sJDZ2Ylqa+mjRnXev+9QX08bNaqztdVCJiPk5trn5trPmlVHICCElC4uQktLqbV1V8+j+Pn56abiv3Xr1uzZs/vZgUqVT5nSuHv3hO3bQ7GWGOz0EUIEwuPbQ6FATk5ChBCFImexsB8UEskAY/pmzpx56NChEZ8BjvQ1/SuBQMAiQk/PjtpaulJJyM+3wy4UiyUqKbFBCEVHs1NTnYVCslxOEAjIRKISIVRRwWxooGHBpbOzkEBALi4CAkHp7NzLsxYdHX38+HHtniFCCCGZTJaTk9P/HI/z51edPOm7YcNTfD4FqRU1BILqB+ToKEb/uGfkUukA39NZLFZCQsLITwE/Dh06FBoa2vP3BAKiUOTYz+PGtRYX2xQV2djZibDfuLgICwrsAgNbCwttGxtp06bVJSW5FhbajhvXVlnJUCqJubn2+fl2S5ZUIIQIBIKzcyeLJSKTu5fnVCo1JydHN19tjhw50n/zSXBwi1JJ2LQpKj7eRy4nkEjqucVum+FUTwih4OBg/c6yoVkCgcDJyanXVgzdVE9RUVHZ2dlaOrteqg3shPv/s+xsh7VrC3/6KamujoYQIpEUCgUBIdTQYKHaR1X6/O9+GpSwsLBbt24Nfn+cO378eM/eNhiFgoB9jKyvp/v6ttvbi7q6Hreytraae3nxEELTp9fv3x8wblybvb0oK8vRza3TwUFoZoaCglqDg1tcXDqxi/zPp/cfQkNDdVPxHzx40M/Pr58dWlupNJps+/b0desKMjOdEEJmZgqlkoAQamrqZbhTP5+iunF3dz9w4MCQc4xXzc3NPj4+fW2VyYgIobY26qhRnQSC0tOT19JigRDi8ylubnyEUFQU+++/XSkUeWRk44ED48aO5SKExo7l2tmJg4NbAgJapVIiUosSemIymbqZQygtLW3evHn971NdbfXBBw/27EnJyHBECJFIcqyoaWxUv2dUgc6gbxqEpkyZYkwNfmfPnnV17b3tQSZ7XHthRY2nJ7+l5XFA2dZm7uXVQSAox49vPXfOa9as2ooKplxOJBKVfn7tMhkhOLglOLjF2lqC7d/PbTN16tSioiKNnlPv8vLy+u9tc/++46xZ1Xv2JPv5tdfV0c3MlAoFESHU2krFbn403OpJZ3G/bty6dSssrPdVq3VTPQUEBBw+fFjj54XpJbjp54RVmpos0tOdcnLsJ0xoQQiNGcMVicwyMpxaWy1LS23q62mpqS7NzdSyMut791itrRZFRbYFBXatrdTs7AFWWvDz89u1a9ewzwdvkpOT+3oOlUqUluacleVYWclYsaLMzEzxyiuFFy96pqc7VVczYmMfIYQmTmy2tRXb2opnzKjDwmsSSfnmm3kJCd5ZWY5sNr2ri5STY19QYFdf3/twaHd3dx28ocpksvr6+v67nysUhOxsVnY2q6aGMWVKA0Jo1qya27ddk5NHWVlJbt92LS21aW83v3PHpbKS0dRES011rq+n19TQ0tOdBuzdNn78eKNp8OvrFRyTm2v34IHD5cse77+fgxB68838v/92zchwunrV/e238xBCVlbS0aM7AwNbQ0MbEUIMhgQh9MYbBXfuuGRkOKWlOTo4iFJTXdhsy8JCu76OEhwcXFVVpfFT6+bw4cMBAQH971NSYnP/Pisvzy4ysgEhFBnZWFRkm5rqLJejjAwnLpdy/z6rrMyaw7FMT3euqbFqaKClprpwOBbV1Vb9p6yzuF8H+nkFRwi1tVHv32clJrqOGiWYNInj49Pu79+emDgqOXmUq6tg/PhWhNCMGXUODkKEUFBQC9YA5u7OnzyZc/366MxMJ7GYxGbTqqutUlJcsC87PYWEhOig4u+nLVylq4t0967LgwcOFIp89Gi+mZnC378lPd2poMBWICDn59sNu3rSWdyvGwcPHuxr3gfdVE9abfDrZZ6b2NjYYc+aL5cThUISnS4dyhtUdzt27MjMzBz+3+NGc3PzRx999Mwzz/S69YMPYvbs0cXYwtOnT+/atUurC3ilpKTcvHlz2OOWOzvJFIp88I3DPRUXF48dO1bvi05oRGxs7Nq1a3vd9PPPQbNmVfv48LSdh+rqajqdvmbNGq0eJSIiYvPmzcP7W7HYTKlEFhYjKhZ/++23CxcujCQFnDh//nxJSUmvfQna281/+CFo69YsHWTjq6++SktL0+ohvvvuOxcXl2GPk+LxKHS6VPVBfBh0UJzqTHh4eF9zWuqsekpKSnr77bc9PDw0nnIvLTcymWzYI8BJJIWV1YgiG4TQ1KlTdfDWqAMCgQAPz4CDg4O2WzXKy8tHjx6gC2c/6HTpSCIbhJCdnV1bW/cOawaqoaFB31lAjo6Od+/e1eohZDLZSO4ZKlU2wsgGy8MIU8CJtrY2O7s+2+F0pp+RkpqSlpY2khHgTKZkJJENQsjDwwMPT+jINTc3jxkzRt+5QB4eHlpqDOs9uNHGkUxQXl5eXwFpYaFtR4d5VpYuBr3TaLSOjg6tHqKlpUWr6Q+IxWKdO3dOv3nQlL7G07LZtLo6y/R0Z6yjklZRqVRt90epq6tzc3PT6iFMx8OHDxkMRq+b7txxaWujVlb2vlWznJ2djebrcF9Gjx6tvT6wutTPu7cuqycLC4uBdxqWgRfO1D0Wi2UcLTdtbW19/Z8bP75t//6boaFNOsiGDp7G1NRUE1nXXdsEAkFfq0m4uAi+/DL9xRdL1PpCapExdbbti7u7u3GcZklJSV+DzhYurPz++xRPT+2+3mBsbW21fT3F4u6j0MHw9PPGq8vqydzc/OHDh9pIuXtwU1VVNX78eG0cafDs7OyMI7jhcDjm5ub6zoWpMI4Wx+bmZm18fh4GK6sBOuSOUD/tmjpDp9ONvqVBx/pZrNA42NnZafuLrW5kZ2drdUnsQWIymSUlJdpIGY8tN0bj0aNHENzojHEEN6ajn3ZNMFQcDkffWUAIIRqNVldXp+9caBeJRDKO1j6j1z24cXV11V6riVAozM7OLigoSEhIEAr7nBxdJBJpKQM6FhkZqdXOLmlpaYmJiX/++SeXy9XeUfSuqKiotLQ0JSXl3r17/ezW/1xwhoJGo2m14X2QFxMhpNUFexFC06ZN096q9UKhEGuS4XA4Rt+WgBDS6kfh/2fvzMOaOvaHP9nYwi5BCMgquICAqCgKitLWqtQW6a8Vr1bbeq12v7Za19q613rpcu8VS7l1rVgviqKIaFGQfREhLEEWkxCWkLAFCASSk/P+cfqmaYBwAtlzPo9PH5ozmS0z32W+c2ZEItHvv/+emZmZlJQEQZCClAKBQK/3UfF4PBiGh4eHFUhULpc78iYmfcTb27uzs1N9+ZeVldXU1KSnp7PZbAXJIAhS02s38sYNkUhU3zrto0ePWlpa/P39u7u7MzIyxkrGZDIjIiLUVAeDoa6uztLSMiIiwt/f/1//+peClJ2dnepe/585c6b6VPKZM2c8PT3nz59/6tQpNRWhO1AolMbGRvXlj74z1W3cKHXgnrIUFha+++6727Zty8vLU1AQjUYb6+A7/cLe3l6x2TEZMjMzFy1aFBkZOTQ0lJqaqiBlf3+/gqcqgUQa/ZQdlXD48OGNGzd+/fXXw8PDCpJp8tJ19TFt2jT1LfixWKyMjIzZs2c7ODicO3dOQcrOzs7Fixerow7qlV9yvPDCC8gM5HK5Bnb92KgEBwdfvHhRTU5VU1NTU1PTnDlzZs6cqVhRcblcdRs3M2bM6O3tVdPayZEjR0gkUmtrq4KLq/h8fmhoqDpKNzDQdKZmoFAo6lveJ5FIV69eHTcZgUBQtw2nGcLDwzs7O9Ukampra+3t7UNCQmbMmPH7779HR0ePlZLFYqlb1KjVsHjjjTfCw8MVp+ns7Bz3kFsMNze37du3A41on7EYZWIrUFEwDN+/f7+zs3Pp0qVNTU1TpkxR6kV5U1PTvr6+R48eTZ8+PTg4eKxkTCZTF46HmTxjvZwpRSAQPHjwgEqlNjQ0rF271tJS0Q2RckRGRiLr7eOeMaMBd8re3r62tnYs2VpQUNDe3u7n54e8Ma6sFWJnZ9fQ0PDo0aPPPvtsrDQ9PT0G87qWYt8UhuH09HQHB4f29nYfH5+ZM2cqlTmazgQAcLncV199VamclYVMJitwHHt7e/Pz8wcGBubMmdPQ0LBs2TILCwul8i8uLoZhmM1mx8TEjLV409Mz5i3QeofiaH5TU1NlZaW1tTWPx1u3bp1SOX/00UeISTGuqNFAfJxCoQiFwlGV1CTVEwCAzWY/efKkqakpMDDQy8tr1DRa1NaqxcPDo7q6etmyZWMlmIx6wuFwNjY2ZWVlra2tb731loKUTU1NMTExStQbNaMYN0uWLGGxWKM6dsXFxSEhIdXV1ffv3/f393/27Jl09LS1tY3cQ25iYvLKK6/IfkImk+fMmXPhwoWxikCyGuttWP3C1dX18ePHCkbP6dOnP/roI3t7+2vXrr355pvSz0Ui0e3bt0fuFXjhhRekB1jhcDgcDgfD8MOHDz/66CMF1aioqFD3bAwNDb1+/fqoe++RV8aWL1/+9ddfHzx4MDExUda4yczMHKlgAgMD5S5XcnV1nT17dmpq6rZt20atQFVV1Z49eybdDp3Az8+Pz+ePdVJZcnKyk5NTSEhIfHy8nOxWVWcCAJqaml544YWJtgAtfX19EASN6ovn5+evXLkyISGhq6urvb29tbVV2goajVZfXy+Xnkqlyo6rsLAwxKApLy8vLCwc1Z7m8/kGE/6OiIg4dOjQWBJVIBAkJCQcPny4r6/vu+++kzVu0Mht5Afq6+tjs9mffPLJWHUQCoVUKnVSzUDBpk2bxjoMXYF6QiNRAQCxsbE4HM7Hx2f//v1jxfofP3588uRJFbVGyyjeEjoZ9QQAwOPxPj4+NTU1hYWFCpRgdXX17t27J9oCRYxi3Lz++usnT54cdZ74+/uTyeSnT5+++OKLM2bMkI3yOjs7j2t/DQwMmJubOzg4+Pn5Xbp06cCBAyPTsFgsBcue+gWRSAwKChrLz2hpaeHz+fb29gKBwMrKSlbEk0gklN7VvXv31q1bpzheowEJTqFQGhoaRn1EJpODg4OzsrJCQ0Pt7Ow+/fRT2aeRkZHjZj4wMGBhYbFkyZKEhITIyEhvb++RaTRgwGmM2NjYM2fOrFmzZtSn6enp//73vwEATU1Ncl2hqs5ESjl48KDydVeO3bt3j3VpQHh4OA6He/bs2ZYtW4KDg2VXswICAgICAsbN+eTJkwQCwdLScqwTJsvLyxX7lHqEh4dHXV3dWE9zc3O9vb3xePyzZ8/kLvNCI7cBABAEpaamfvLJJwrWzxgMhrrv6wAAhIaGHjlyZFTjRoF6QiNRHz9+3NXV9dprr1lZWY2101YoFAYFBRlGKBMAEB0dPdYqwyTVk1gshiDIyspq+fLln3/++dKlS0ddPYUgiMPhqGktY5QfycPDo6KiYlTZmpCQsGPHjtra2o8++qi4uHj27NnSpSo0HsB3330XFRUVGBhoZWUlEolGrZAhueBAoZ/R3d2NiPWKioqZM2fW19f7+Pggj1CaxiUlJbNmzXJ3d8/JyRkrVFxfX7969WrVNEYhY82T27dvh4eHFxUVrVu3jsvlcrlcWfE67mJDY2NjYmLiiRMnAABjDRtDcsEBALNnzy4vLx91AkokEhsbGwsLCz6fTyKRGAyGt7e3VGqopDOBBiV4ZGTkxYsXRxo3fX19SUlJy5cvnzp1qqmp6cOHD1esWCF9imblZsmSJYg4ZjKZY1kwhuSCAwAiIiLGWvDr6upCwpdPnz4NCwuTFTUoV9wzMjKio6MtLCwUiJri4uIPPvhABS1RCJFIHBgYGHXBT4F6QiNRbW1tkd3ljY2N8+bNG7X0qqqqTZs2qbI9WmXz5s2ff/75qMbNJNXTnTt3BgYGNmzYYGVlBUGQRCIZdYG2ublZ2SApeka5OBMAsHfv3unTp4/cxJCamkqhUExNTXt6emxtbRXsmxmVxsbG/v7+wcHBp0+fRkVFjfrSoAauXtMkAoEgOjp61LCRSCS6du2av79/W1tbR0dHYGDgnDlz0OdcW1t77NgxCwsLCIKcnJyOHj06arIjR47k5+drQFGNdUtofn4+BEFubm6FhYVUKnXc/XpyQBCUn58/ZcqUhoYGgUAQGxs7Mk1aWtr7778/rjevR2zbtu3FF18cdcEvJSXF3d19cHCwqqrKz88vLCwMfbZoOhNo9hbSJUuW7Nq1S07wwTB89epVf39/NpttZ2dHpVKV3f7MYrEaGxshCCKRSKMavkKh8MGDBwkJCZOpvE5Bo9HGWvBraWkpKipC9lhMmTIlKChIqfhRSkrKzZs3zczMhoaGXnrppQ0bNoxMA0HQ6dOnc3NzJ94A1Ix1S+gk1RMA4OHDh6ampkwm85VXXhl1x+QPP/xw69Ytw9g1gTDW5bWTVE/d3d21tbXm5ubl5eUzZ85ctGjRqMnUegvp6MYNk8ncunWrgvCqmigtLfX09NTA2qYmiY6OjoqK0sp2Vy6X29DQgHjqGiA6OnrDhg0aPm8GgqBvv/02Ly9Pk4Wqm5ycnMTExLHuk1c3x44dy83N1czae05Ozq1btxSE5NVEcnLyV1995enpqeFy1crMmTORYJzmi87Ozo6IiNDMATBisTgsLGys66zVh4bFqWY4f/48l8vVylHFQqHwyy+/VN9hV6OfUOzh4bFgwQINn3oJQdDVq1c3btyoyUI1QEJCQlJSklaKjo+PH3Vjk5qIi4u7c+eOxopDSElJMaTgAkJ4eHhvb69WrtGh0+nbt2/X2K6C8PDwgoICDbeUy+X29vYamGUDAPj55581s3YiBwRBBQUFGjvajkgkbt++PTs7WzPFSdGwONUMGzduvHHjhlaKvnPnzt27d9WX/5jXLxw4cCA+Pl59BY8kNzc3MTHRYPZqSaFQKJq3FAEAdDp95cqVmlxB9fT07O3t1WRLhUJhb2+vsqEuvSAuLu7KlSsaLhSCoMTERA07GCdPntSwTZyUlGRIASkpWrEUAQD37t3TsIOxcePGO3fuqO/cwpHQ6fRVq1YZUkAKQVuWIp/PV7eDMaZxQyaTN2zYMO4Z7aqCz+cXFhYapJYCABw4cEDDkx+CoBs3bnz99deaLBQAkJCQ8NNPP2lM6MTHx8fFxWmmLA3j6emJw+E0bBPn5ubGxcVp2MFAlqn4fL5miqPT6QsXLjSMk7RGEh8fr2GbmM/n19TUaFh0E4nEn3/+OSUlRTPFIeL00KFDmilOw2zcuLGgoECTliIA4Pz58+oW3Youzty5c+ejR480IF4hCPrxxx81NlI1D5lM/uc//5mcnKyxEpFgjeaXwSgUyqlTpzTzU169enXLli2GF1yQcunSpW+++UZjQofFYhUXF2vl3pzLly8fOXJEA0sOfD7/1q1bmjf6NUZAQMDMmTPVt49BDgiCLl68qEnJJiU8PJxKpWrG/T569GhCQoLhRRUQiERifHz8WK+kqIPs7OzVq1erW3SPcyv4w4cPv/32W3U7VYcPH05MTDRUXwph7dq1GpuK2dnZbm5u2no7OiIiwtXVVd3rnHQ63c3NzWDOKRkVMpmckZFx/PhxDdg3fD4/KSnp4cOH6i5oVMhkck5OzrfffqvWlkIQdPjw4Zs3bxqqlkI4cuRIamqqZtb8Lly4cPDgQW0dDn7kyBENuN/JyclffvmlIb2MOZKAgIAvv/xSM0YqnU5nMpk7d+5Ud0HjGDdEIvHx48cXL15Un1OFvLZg2EMH4cSJE48ePWKxWGothU6nP3/+/MiRI2otRTHHjh17/vy5+txHFouVmpqq3TZqBk9PTw2shEmXTrWo9R0dHU+dOnXhwgU12TcQBB0/fjwjI8OwnSgAAJFIzMjIOHXqlLpXwtLS0iIiIrS4l4BIJKrb/c7OzqZSqZo5FkG7aMb95vP5OTk5aO59mzzjGDcAAEdHx8uXL+/fv1/lAwiCoEOHDsXExBjD0EF4+PBhRkaG+rQ+nU5PTU29du2amvJHz7Vr1xobG9PS0lSec2lp6bVr17Kysgzb/5YSERHh5uaWnJysJq0vFAqPHz+emJio9cu5IiIiPvnkk+PHj6tcK/P5fKSNBhzElAVZCdu3b5/6tH5aWpqdnZ3mjwuRg0gk5uTk/PbbbyoXqhAEJScnm5qaGti73wo4ceJEdna2+uwbLpd75MiRX375RTOie/RzbkYiEAhWrly5du1aVb0Qz+fzf/zxx8TERGNYs5FFLBavX7/ew8ND5Wd7pKWlwTD8n//8R3e0flxcXE5OzubNm1V19kZycrKrq+uxY8dUkpsekZWV9fnnnx84cEC1p5hwudxTp07l5ORo3bKRwuVyw8LCvvzyy7Fu11IWOp1+69atmzdvGvyajRw8Hu+dd94JDw9X7SkmyDrfli1bdCcojAhVBweHsS4tURYIgo4ePXr69GlDOvocJfv3729ubo6OjlatqEEcb006pWiNGwCAWCz+4IMPuFzuJA9qgyAoNzc352HOnYw7xiZupBw8eLCqqkpVWh8RN6+++qrWHamR5OTk7Nq1a926dZOUsFwu99iRY3Hfxb0W/Zqq6qZfMBiMlStXfvHFF6oyREpLSzMzM3VwDQxxpRYtWhQWFjaZCSIUCm+n3u7mdafc0WbETYuIxeI33ni8ZcFbAAAgAElEQVTDy8tLVa4Un8+/ePHiwYMHdfDN1ri4uLt378bGxk5ygtDp9LP/OZuZlWkk63wjQVypL774QiUnskIQlJKSQqVSjxw5oslpqIRxg8BgMHbu3GltbT0xy660tDQpKSkuLm7oylDk8UhbD1tlczAYkk8k//PWP5eELZmM3EEsxYKCgjNnzgQGBqqweipELBYfOnSoqKhoYnKHy+UmJSUtWLBg/YL1Q61DIR+GqKOSegGrlrX1na1UH2pUVNRk5A6Xy42Pj9+wYcPHH3+ss1o/Jydnz549oaGhEzBxkHmRlpaWdjvtfsz9bU+24Ynjh+ANlZ0v7czvzZ+kgyEUCu/cudPb2/vTTz/pzjqfHAKBYNOmTTAMT8wDp9PpN27c2L59+4zeGa7zXKctGeWCICMhLznv7T1vr31t7SQdDKRL33//fc2v8ylt3CAgcsfZ2TkkJMTX13fcxrNYrKqqqoqKivfee2/jxo1EIlEkEF197eqmB4ZzCZlS9DB7Mvdlvnrx1cuXL589e3ZicodOpycmJh44cEB31ocVIBAIjh49mpmZuWrVKh8fn3GDDkKhsKqqKj093dXV9aeffkIW+a5vuG7MNvGlFy/FXIlp729HHIwJmDhSS/HAgQO6fyKZWCy+cuVKfHy8r6/vggULxr1hCoKg5ubmkpKShoaGkydPIqsL3EpuWWLZyz+8rJEq6xz1d+uFPcJZb8yasIMh9aDi4+P1YhcB4oETCISQkBBPT89x5wifz8/NzS0vL4+MjPz666+JRKJELEmYl2C0NjGinf+W/re8grwJOxhSSxHR+GqqqgImaNwg8Hi8goKCU6dOOTk5eXh4AAA8PDzMzc2Rp8gOLx6P19DQEB0dvXLlSrmbtyqvVAIA5mxQ4joug+HSi5fW31xPIpMAAGKx+PLlyz///DMaYxGCoLq6uuLiYg6Hs3XrVm2NmwkjFosLCgouX75Mo9ECAwMtLS3JZLKbmxvytLOzk8vl9vf3l5eXBwQEbNq0KTQ0VLaB0llnhEJHbr7k5ORcunSpvLwcjbEo9S4iIiK2bdumd+vtPB7vwoULKSkpzs7OiKiROgODg4NMJhMAwGQykUmxZs0auXj3vU/uLfrHIiO0ieXmC+JgPH78ePr06eMai1LvwszM7NixYzoYh1KMQCDIzMy8c+dOeXn50qVLAQCOjo5TpkxBnjY1NQkEAh6PV1dXFxERERsbK2e3GbNNLOtDisXiu3fvIlrez8/P399fgbEo611ER0fv2LFDix7UpIwbKWKxuLm5GQDw9OlT6f784OBga2trCoWioHmIJ2pBsZh8HfSIyiuVZrZmPqt95D5HZuO5c+fa2trs7OycnZ3t7e2RR0wmUyAQdHd3Ozs7v/3225GRkbrvdo8LopPYbHZjYyPyibe3N3JXPKLARqX+bn33825jC04N8Aaub7g+cqUTMRbv3r1Lo9EkEgkEQVIZ3d/fj5w7QCKRli5dOtK70EcQhQTDsOxBSsiuTwWixmht4rFWOhFj8ebNm1ZWVgAAR0dHqTlIo9EIBEJPT8+cOXNGehf6iFQ90Wi0rq4u5ENEPZHJZAX7Pu99ci94a7DjHB2NwakJbiWXnkJf9qX8ZgmBQPDo0aPU1NSWlhaJREImk6VSmsfjIacNkUikdevWjfQutIJqjJsJM5bINmDQNxmR48jfim1EY+P6huurflhlVDYx+iYjJiMAQLHgNjaM0CZG32QejycQCJC/XV1d9d2aURVGGJxC32SpyQh0VT1p2bgBxhecMs7FKtVibDaxESpmdWBUG7aMdrFKtYy1jGGoGNJilfbH/ZwNc8rPlYsEIm1XRBNUXqkMejsIs2wmiQXFIujtIMQsNnhEAlHhd4Xzt8/XdkX0nrU/r73999sSsUTbFdEEmfsyX/n5FcyymSSOcxw7ajt6mD3arogm4FZyAQCGYdkAXTBuAACv/PxK6t9TtV0LtSMSiMrPlRvPGpVaQWziAd6AtiuidlL/noppKZVAIpMW/WNR9bVqbVdE7SBaykjWqNSNkdjEErHkxsYbL/3zJW1XRGXohMS09bCdtnha/d16bVdEvaT+PTXmSoy2a2E4xFyJub7hurZroV7q79ZPWzwN01Kqwme1j8HbxIanpbQLYhOXntXEncdapPRs6ZozawzJidKVlszfPr/wu0IDDk4hWgoLSKkQJDhlwDaxRCzBAlIqx+Bt4vuf3V93eZ0haSmt47Pah53PNuDgVA+zh53PNrBDC3VlAuCJeAMOTmHbJtSE3xt+BmwT3//s/sq4lZiWUi2GvWHLwLZN6A5IcErbtVALErHk9t9vr/3Z0K6v1iG5aeth6zDTAZmcBga2bUJNGLBNjGkp9WGoG7YkYknGzgwsIKUOSGSSodrEpWdLF/1jEXKirCGhW+o2fF/4jY03DGzrFjuPjW2bUB8GuWEL2zahbmKuxKR/kq7tWqgYREthTpSaMEibGAlIjTxR1gDQrWmAJ+LXXV53/7P72q6IypCIJVlfZWEBKbVieBu2sG0T6saCYmFgNrEBayndwfA2bBlkQApB56Qnsg5vMMEpbNuEBkCCU5n7MrVdEdWA7FvEAlLqxpBsYkPdNqFrGNiGLeTcNcMLSCHootJ96Z8vGUZwCts2oTGQqJ8B2MSIloo8Hqntihg+hrRhy1C3TeggBnPq7ABvwLDPXcMDAGiXabUptZPM6MlPT/JO5amiSgBPxK85s0b2XAFWNqvkPyVKZQJDyl0roXJbatxtEyrssezD2dwq5fS6su2VS89n8ScfPWzKbUr/KH24b3iS+SDI2cQDHQNp76cpm4lS3aIO+1uxllJhj2llTt3+++3BrkGlMhlJ7oncssSySWaCMHLDluan0uQZ4A0oDkipqsdgCL4eq3RQRqn2jhxjKhE1KhS2YMSpsxOYSkAHRM31DdcVnLum1+oJAQ8AEAvFUwOnKpWXHDAMdzV0Ld61eDKZyDJtyTTZcwWG+oaoC6hK1afwh8KBDrQ7v6Bh6PHRx0rXUiE5x3MUbJtQbY/BEEyZpcQVibAEzv46G/21Yq0lrc9Sn8l+Aokgit9kL2Wsv1v/0umXTKxMJpkPgtyGLYIJwc7TTqkcRjZTAcr2IRrG3Tahwh7TypyycLAwtzdHX+hIhnqHoGEoeGvwZDKRBQlOSYWj5qfS5EEuVR3rqQp7DEfA2U+3V+orSonWUcfY5EWNytWTnE2s7FQCSg4DdagnxRcB6bt6QiB89dVXFRcrrF2smQ+ZTnOdkE+5ldym3KYOegfyz8rZimj+xz2xjIeMmms1ZEdyS1FLbUqt2xI3AEB3Y3ftzdppi6aZ2pgiyZpymnJO5OAJ+Oai5qkBU6uuVnU1dLEes6jzqCNz6KjtaLjXwMxiOgU4tRS35H2TZ2ZrRiKT8k7mzdkwB4fHVV+rnr1uNp6IZz1m1fyvhlfDcw527uf0l/1cJuwRCrgCkUBUerbUcY5jWUKZ6yLX/tb+iosVlNkUK6qVtL+KfigSDYhailpsPWwrf63sa+vjM/niITGZQn6a+BQagqbOmSptpgL6Wvro1+nsfDaegJfmL9djEpGEnc8O3ByIvsdgGC4/V96c3+w817mzrlO2OZynnILvCkQCEf0GHfnv1DlTiaZ/VpXxkOEZ6QkAoF2iNdxrkIgktp627Dw28xGztbTV3tuenc+u+V/NVP+pVVernIKcuJXc+rv1TkFO5nZ/aBoFnSkaED0++niq/1R7H3scDoekb8xoFA+KmwuaqQuoyIcSsaT2Zm1HzR89IOwW2rjZSAdf6dlSzxWeRT8UDfcND/UNWTpZDnYO0n6lUWZTLKdaIsmEPcK8b/I4TznttHY7L7sh/pC0SoJ2gVwOplamTxKeCNoFwh6hCdmk8IdCXjWv+3l3P6ff1t2WPJXMzmNbu1jbetpCQ1BBXEFTTpO1i7WpjelYw8CEbDKymbJ9yK3kInUo/L7QdZHryD5UAAzBpfGlAq6Anc92Cvpjlsn12EDHwIPPH8RciSGYEFD2GDLROus6ORUcm2k2ss0hEAk5J3K66rraae2cpxw+i9/X2idr7UnnVHdj99NfnjblNlHnUQc6BtDPKQCA/LyWGWOjzqmKCxWWUy3bnrQ5zHKQDl1OGQfpga76rikzpiCdP9w/jDSnOb/Z1t226F9FyMSpvlot7BFS51MJJgQkh5r/1RT9qwiZmDbuNiN/X9kcnqU+4zP5jEwGdT71Weqz0jOlMAzbednRLtKmr5qOZiqNOwxkRQ2egB93KimAmcXk1fCenH3i9aKXNL1cj7U9aXOa6+S6yBV9j8mKmrayNtnmMB4yCr8rJBAJ5RfK8Xh81dUqtzA3aX2gIailuMV9qbvsnDKzM1NqGMiKGum8RkofdYyNFDX9nP7GjEapsMUT8RZTLKSdg0bYttPa877JE/WLmI+YLiEuo/6+o4qawa7Bwu8KYQge4A1UXKyYHTObYEJQdiqNOgyUnUpjMap6kusxiUiSdyrvxW9fRN9jAAD6DXrns06RQDTEH5JtjrBbqFjUSOeUrPqe8JxCI7cR8AAAE0sT96Xu7Hy29FPHOY6zYmZJ/5nZmUkf2XnZmViasPPZDjMcXBe5Ih+aWptS51Otp1lLk7mGulo5W01fNb0pp2m4f5hXzZv52szW0lZElMjlUHml0tHfMWBjANGc6LrI1czWbNqSafO2zZMeei0WipFsqfOolFmUwLcCAQDF/y4O/nuwnZcdO59t72MvHhKb2Zn1tfbBEGzlYmXraTs14M/lqMaMRsosisdyD0Ymg2hGJJgSbD1sm3KbbN1tkb4L2hJkYonKIS76V9GMtTPEQ2LZt7tle2zGqzPuf35fum0CZY8BGIgEIolYgifh5ZrjOMcRh8PNWDtDJBB5RHiIBCKpnAIAwBCMw+OgIQgA4L7U3X2pu1u4GwCg+n/VgZsDYQjurOu0n25vYmnSXNRs7WINACCQCNNfnm4zzUaaiYLOJFmQLKdaTn95umwndDzrCN4azG/iD/UOIZ/gifhZ6/4cM7KHXTrNdZKIJT3MHhNLE/JUMjLuzaeY20yzkf2NTCxNrKhWfm/4wTDMZ/FlqzQyh6a8JpIFyWmuk8tCF1NrU1NrU98o35APQ1b9a1XGzgyJWNJa2uro7wgAIJgSvCK9ZsfMtp5mrWAYjNpM2T50musES2DRgGiodwiG4JF9qICGjAYrFytLJ0szWzOpRyLXY73NvdKAFMoeAwCQLEgtxS12nnZyzTGxMrGiWnm94GVmY+Yw0wGHw5EsSLLOkHRO2XnbTQ2YOveduQRTglJzSm5ey42xkXNKNCCizKZQ/CiyosZzhafsxJGKJ6IZEU/C27rbdtZ3mtmZSScO0Zzos8ZHNltHf0f3pe720+055Ry533dkDoyHDCsXK0SA2HnauYS4+Eb5zn1nLgCAW8lFM5XGHQaydUAzlRRQ+Wulz2ofkgUJyDixsj02bfG08vN/bJtA32OyokauOe5L3YmmRK8XvUQCkfsy9+G+Ydk4EaecQ/GjwBAsO6eUHQZy81q29JFjDIwmaiydLGXV0xTfKdLEKIUtZTbFzMZsVsysdlr7yN9Xgahx9HPEE/DeK70XfrJQGpxSdiqNHAbK9qECRlVPcj2W+03uKz+/olSPAQBweBznKWeK7xS55igWNbJzSlZ9T3hOoZHbCHgAgKO/Y0N6g+zGIk45p/q3auk/2TA5yZyEw+N6m3u7Gd1Sw6q7sRuxEgAAjEwGAEDYIxzuH6bfoM/fPt/E0sTKxYr5iOm7xheHw43MwftF797m3uaC5gHeQD+nX+rVuS1xq7tT18PsIZAIbWVtMASXxJd01nU23GsAALiFubVXtDOzmfO2zcMT8dau1q0lrdAwxCnnQMMQDMFNeU3S+jjOcRzoHKBfp4d8GIIn4knmpMHOwcHuwZaSFgCABJJwKjiD3ah2A0wLndZOa+981skp54zaY7e33Q7eGizdNoGyx6quVrksdEFWfeWagyfize3NcXiciaUJ0YyIJ+KRoluKW4b7hkUDIgkk6WH19Lf1V12tai5sbitrAwBQ51NbilsADlAXUPEEPJ6I5zzldD/vBgAM9Q4N9w/zanjS0hV0JgCAYEqoS6uT7QTXha7sAvbUgKlmtn8YvhKRpPran2OG9Zj15yAj4i0cLFpLWkWDIpFAhHgDMAzDkj8mANIQPBHPb+Lz2XwAgNNcJ7kqyeXgssBFLBR31nVyq7g4Am64b9jKxQopy2O5R+nZUqIpsbW0FQDAzmczs5h1aXUCrkDxMJA2c4g/1PZkRB8S8aY2poyHDIlY0tfWJ9uH4+Iww0EsFNffreez+OD/R4dle6zs57KCuAJpQAplj8ESmJnF9HrRC0fAyTUHT8QP8YfsvO26Gd0uIS69zb3CbqFs05A5BQCgXaJ10Dtq/lejeBjIzimkdLl5LTfGRs4pkgXJgmJRm1K78OOF0g8b7zdKxwz9Ol3W8jO3N+9r7YOGoJaiFjsvO7mJI20It5qLw+NY2ay578yV+31H5uCywEXYLWy83wjDMLeaK12W8F/vf33D9aHeofGn0tjDYFRRM+5UUoBbuFvDvYah3qG2p22j9tjFFy6u+3Wdsj0mJ2pkmyNoF0wNnAoNQdau1jAMwzAs2zTRoKiroQv8dU6hHwajihrZ0mXHmJSRoqavtU9WPXXUdvw5xtAJWzwRP9AxwMpmea/0Hvn7KhY1ptZ/LGaY25nbTLNh57GVnUqyw2BiU0kBo6on2R77fc/v9t72UtMHZY+1V7RLxJJpi6dJxJKR6mlUUSOnnuTU92Tm1FhyWx5YFdAu07oZ3bKfND5obMptmnzOw/3DF1+4OPl8NEY3ozs5NnncZCN7zNjobe59eu6p3IePDj1SSebJscn61b0XX7go4AoUpxm1x4yN7CPZ8p8czpZAksnn3E5rT/84ffL5aIy6tDrar7Rxk43sMWNjpLAVDYpyT+ZOPmdIBMUHxEMiaPJZaQZEn45bYcNQTyp4FbzqapXcIhgAAPGNJp+53h16jea0iVF7zKjorOssSyzzXeMr+2E/p59bxVXJsEEugtGX0wQUb+5DGLXHjI2SMyWOfn85WAHxHYU9wslnjhzZoC+XIyLX1fm94ac42cgeMzZGFbaMTIZKhIPenTqL5iIgg1FPOJXoEnVz6cVLMVdidP9K7corlWa2ZtghobpA/d367ufdIR+GaLsi4zDAG7i+4fqmB5u0XREMIBKIrr529W/pf9P9Uzevb7geeTzSADSQAXDvk3vBW4N1/zwzbiWXnkJf9uUybVdEQ+j6HEbQi0OvkTORMMtGR/BZ7cPOZ+v+RTDpn6QrOG0CQ5OQyCTpSwy6TP3deuy6Ot1BL06dRc5dC98Xru2KaA79MG704tBrxWciYWieVT+s0nGbGNFSur8kaTwgNrEuB6eQgBR2XZ3ugASnco7naLsiijDC6+r0pqk6fug1mm0TGBpGx21iTEvpJjq+YStzX+a42yYwNIzjHMeO2g6dtYmN8yIgfZohOnsRjEggMuxLOvQXxCbWzeAUms19GJoHCU5VX6vWdkVGAdFSWEBKB9FZm3jci4AMFX0SrCMvgtERUv+eigWkdBbd3LCFbZvQZXxW++igTWy0Wkov0NkNW6VnS9ecWWOETpSeNRi5CEanglPYtgkdBwlO6ZRNLBFLsICUjqODNrERbpvQL3RwwxZyXZ3sefHGg57NEzwRr1PBKWzbhF7g94afTtnE9z+7vzJuJaaldBld27BlnNsm9A4kOKXtWvyBRCxBc+6aoaJ/4tXWw9ZhpgMy1bUOtm1CL9ApmxjTUvqC7mzYkoglGTszsICU7qNTp86Wni2VXldnhOilVg7fF64L5wqw89jYtgl9QUc2bGHbJvSLmCsx6Z+ka7sWf2gpzInSC3TEJkYCUsZ87ppezhZdOPRaIpZkfZWFBaT0CF3YsIVtm9AvLCgWWreJMS2ld+jChi1jDkgh6KuQRVb1tRicwrZN6B1IcCpzX6a2KoDsNMQCUvqFdm1iI982oadofcMWcu6a0QakEPRYN2vx0Gts24SegsQQtWITI1oq8nik5ovGmAza3bBl5Nsm9BctnjqLXASEnbumx8YNnohfc2aN5s8VwLZN6DXasokxLaW/aGvD1gBvAAtI6S/asomxi4AQ9Ni4AQBMWzJN8+cK5BzPwbZN6C9a2bCFbZvQd5DglIZt4usbrq/6YZUmS8RQIVqxibGLgKQQtV2BybL257VXX7v6t/S/jWttiMXi5uZmJpPJZDLlHgUHBzs7O1MolHGL62H2DHYOYgEpvUa6YQvN78jj8dra2srKyuQ+9/Dw8PDwcHV1JRLHmURIQGr9zfUTrjCG1sET8SvjVt7/7P7LP7w8bmKBQMDj8Wg0WldXl9yjiIgIMpmMRtRgWsoAmL99/q+rfvVY5oFmyZbJZLLZ7MbGRrnPvb29p02b5uHhMW4OyEVAmx5smlhtDQwcDMParsNkqb9b3/28O+TDkFGf8ni8CxcupKSkkMnkgIAAR0fHKVOmyKWh0+n9/f3l5eUBAQFRUVGRkZFkMnlkVhKx5NdVv66/uR4LLug7yE85lk0sEAgyMzPv3LlDo9GCgoIsLS1nzZoll6azs5PL5dJoNIFAEB0dvXnz5rE0VuWVSjNbM2zZxgC498m94K3BY9nENBotKSkpKyvLxcUFsX3Nzc1lEwwODjKZTB6PV1dXN2fOnE2bNoWGho5qHA/wBq5vuI5pKQOgh9mTuS9zrDgRj8dLS0tLTEy0srLy8/Mjk8lubm5yaZqamtrb21ksVl9f3+7du0NDQ8cSNdc3XI88HomdToJgCMYN+P8/asXFisWfLUYsDwaDkZCQkJWV5evru2DBAnd3dzT5CIVCBoNRXFzM4XC2bdsWExODWDn1d+spsyl1d+rsvOwwLWUYIDaxb5QvO5+NbL4Ti8VXrlxJSEhwcnIKCQnx9PQ0MzNDkxWLxSopKamrq4uIiNi2bZunpycAQCKW5BzPWbBjAaalDAaJWJIwL2Hbk22/rvpV+pvm5ORcunQpKytrxYoVYWFhNjY2aLISCoVVVVXp6elBQUFRUVGrV69GrJzsw9nh+8J/XfVrzJUYbNnGMCj+d7HzXGchX0iZTUEsD4FAEB8fn5KSMn36dD8/P19fXwKBMG4+EATV1dVVV1c3NDRER0fv2LEDUU/cSu5Q75CQL1Tg5BshBmLciASiq69dtaBYxFyJ4fF427ZtAwDExMSgFDQjQYbRjRs3tm/fvnHjRngIfnjwYT+nH9uoZUhc33Dd0slyxZEVOFPc5cuXz549u27dOpSCZlT4fP6DBw96e3sTEhIoFMr1DdcHeAOYljIkuJXcon8VTQ2YGvJhCIPBWL169Zo1axYuXIjSDh6JUCgsKioqKCg4efJkeHg4O4/9/Pfn9j722NsuBgNiE8+MnhnxVYRAIDh69GhJSclrr72G0uUeFRaLdfPmzQULFhw4cIBMJqe9n9ZV34Vme4bxYAjGTf3detplWl9rn3e0913O3ZKSktjYWEdH1WyLodPpiYmJcXFx1ZuqvV70whPxq35YhekqfWeAN5D+SbpELHn+4Pni1MVbt25dv379/PmqOZKRy+UmJSUtWLBgtdPqxpRGK6pVwMYAbMHPAMg+nN1R29FW1hbyz5ATiSesra2joqImbNbIAkFQbm5uWlpa4neJRVuL3MPdAQ5grpQBwM5jF/+nWNgjFA2LwEZw7NixPXv2qEo9sVisy5cvb9++3TzNHB6GSWQSFpaSYgjGDUJqauo//vGPffv2qWrcSEHkTkF+QcrNFJVnjqFFeDzea6+9FhoaGhYWNuHVmrHgcrnHjx//7rvv1q7FTmAzKL499e29jHtvv/32hBeGx0IoFN65c4ffw0++njzuRnUMPYJGo219d+vr//f6yN17k4dOpyckJDx48AAJiGMgGIhxs3///ubm5ujoaJWrKCl8Pv/HH39MTEwMCAhQUxEYmoRGo23duvXjjz9WuYqSJTk52dXV9dixY+orAkNjiMXiFStWLF++XFWLfKPCYrGSkpJu3ryJ5qUqDN0nNTX1q6+++vLLL9WnniAIOnr06Jdffom5UlL03rgRi8WRkZERERFqFTcIEAQdPnz4008/feutt9RdFoZa0YC4kVJaWvro0aOHDx9ivrhew+Vyo6OjY2NjJ7NVAiWYK2UYiMXigwcPtra2vv766xooDnOlZNFv40aT4kZKcnIylUo9ceKExkrEUC179+7VmLhBQHzxlBQsrKmv5ObmHj58+K233lLrOp8siCsVFxcXERGhmRIxVAuyzhcVFaWOUNRYYK6UFD02bsRi8bJly3bs2KExcSMlOzvb1NQUM5D1kYMHD/J4vDVr1mi4XD6fHx8fn52djQkdvYPL5W7cuPH999/XwDqfHL/88svOnTvDw8M1XC7G5Fm6dKmGLRsEOp1eWFh448YNDZera+jxa2ORkZGxsbEqsWyGhwk//eR/964HyvTLli1rbm7OysqafNEYmiQrK6upqUlVlk119ZTPP0erdWxsbGJjY1esWKGSojE0hlgsDg8Pf+utt1Ri2XA4FkePLmhoQCu1Nm/e/Nlnn3G5WrjqFWMy7N+/f/ny5aqybNLT3X/8MQhl4lmzZnl5eR08eFAlResv+mrc7N+/PyIiQlXRKBMTaP58bn//H+cOP3rkOu5XoqOjd+/ezWAwVFIBDA3A5XJ3794dHR2tqgz9/DrxeAj5G82YcXd3X758+f79+1VVAQx1IxaLIyIidu/erarlYSenAVfXPpGIAACQSHCPH7soTk8gEHbt2hUeHi4Wi1VSAQwNkJqa2tzcrMJtoJGRzTzeHycOoBE1y5Yta2pqMnL3Wy+NG/RDB33MDYf7I2lXl1l5+fgvKRAIhH379q1cuVIgEKAtA0N7CASCsLCwXURWMEwAACAASURBVLt2jet/KxWnxeNxAAAIwmdnU9Gknz9/fnNzc2qqFu4KxpgABw8eXLt2LZqdUuiHDTJmAABPnjjy+abjpjczM9u9e3dERARm3+gFDAbj8OHDaLb0qU89Acz9BoDw1VdfabsOyiEQCNatW/fxxx/j8Yoss6Ehwo8/BtXV2Q4PE3NzqTAMnj+3LS+nDA0RJRLcqVPzqNQBHA7+/vu5ZmaQi4ugrY3c1WU2a1b377+7VVY6WFmJrK1FZmaQgiLwePzcuXO/+eabN998U9WtxFAx69evR3Mwye3bXteuTTcxkTx7Zs9iWbW3W7BY1jSag69vz+3bnjdvTg8La83Kcvnvf/1XrGgGAPz+u9sLL7DLyymZmdMcHIQwjLOxGVZcxOzZsz/77LN3333XxMREZc3DUAM0Gi05Ofmll15SnIzDIX/55SITE5jHM793z93Wdriuzu7xY6qzs4DPNx0paioqKC4uAhMTSVqae1eXmUSCc3Xtx+EUFUEmkyEI4nA4QUFoYxMY2iIqKmrv3r0TVk82NkNnzwa0tlr6+vb88svsmpopAQEdEgkuO9slIqJFKfW0cOHC3bt3v/vuu6puon6gfys3R48e3bNnz7j+t6kpFB7e2tNjGhLCmTOn4/r16aGhbfPnczMy3JydBW5ufWIxbsoUoa9vj0j0Zyfg8fCSJa1TpggXL26zsRkatzKOjo4wDBuzdawXMBiMnp4eNP73iy82sdlWixa1R0ayz52bFRzMXbKk9eFDVwDAihXNvb0kAEBERItA8JebU4ODudbWw4sXt7m59aGpz549e44ePTqhpmBojjfffHPDhg3jJnNyEvj7d8IwCAlpt7QcLiujLFzIcXAQlpZOVSBqbGyG5szp9PLqXby4TbFlg7Bs2bKzZ89iizc6zsWLF0NDQyejnszMoPnz2wcHCXg8vGRJm0Dw5/sHyqonMzOz0NDQnJycybZKP9Ez40YgEJSUlKB8nxaHA1OnCgEAJiaQo+MA8gcS7SYS4f+fZsyVweFhVJ2zYcOGnTt3okmJoS127ty5Y8cOdGlhBwchDgfjcLCDw5CJiUT6gECQyCYb9csox4yjo2NJSQmPx0NXJQwtkJOTs2bNGpRXK+BwAJEwpqbw1KmDQBlRA8M4CEI1bNatW/fjjz+iSYmhFcRi8ZkzZ8LCwtAkRqOeFKz+oBQ1YWFhW7duNU6bWM+Mm02bNsXGxirzDalk+YtzRCBAEgkOAMDhkOW+QCRKIAgAAKqqHNAUYGZmZm1tbbTWse5Do9Gsra3RXwAko4T+oo2IRFgiwQMAOjvNZF1wBEQMoRwzAIDY2FjkelcMHUQsFu/ZswellkKQETB/GTYKRA2JBEMQjscz53BQ3VU3a9asK1euYJv8dJbLly+vW7dOmbfqxlJPEmTMtLWZy31BWfVEIBDWr19/+fJl1FUyHPTJuGEwGDAMo1y2GRoiPHniWF9vy+VaFBY6NzVZtbWR8/KoXK45i2W1eDGnpsY+L88ZgkBRkVNPj8mTJ451dbadnWY2NsMUymB2NtXZGa0QiY6O3rNnzyRahqFGduzYERUVhTJxXh6VxzOrr7ctLXXs7DSvqbGvqprS2WlWVkYhEiWzZnUUFjpVVdkLBKTKyil1dbYdHWaFhU4AgCVLWjMzp5maKoqCy+Lo6GhtbY0FNHWTy5cvowkuIHC5Fs+fWxcXO3G5FrW1dhUVFC7XgkZzqK215fNN5URNU5NVY6NNUZEjBOH9/Drb283LyihUaj/Kiu3YsQMLaOomAoHg2LFjKN/9VqyeZszoHhwkFhU5dXZa1NXZtbSQ8/KoHR3mjY02E1BP8+fPN86Apj4d4rd3714/Pz/VHtknFBJhGJibT/aHT05OPn36NHYXjK7B4/E+//xzlR9GzOebWFqKCIRJzR0+n19dXY0dda2DhIWFffHFF6rNU1Wi5siRI/n5+dhRkLpGampqbW2tao/sgyD8wADB0lKEZleWAkpLS1944QVjOwpSn1ZusrKyVH4YsZmZePLiBgCwYMGCCxcuTD4fDNVy4cKFBQsWqDxbG5vhSVo2AAAbGxsjP4hCNxEIBE5OTirPVlWiZunSpTU1NZPPB0O1nDt3ztfXV7V5EggSK6vJWjYAAH9//0uXLqmiRvqE3hg3PB5P5UNHhbi7u6ekpGi7FhjypKSkaPLeMWXx8vJiMpnargXGX8jMzAwJCdF2LcYkKCgoKSlJ27XA+AtisbilpUXzt3OgxMzMrLy83NgiU3pj3KjJBVchjo6O2PsvOoVAIHB2dtZ2LRQRGhqanJys7Vpg/IVTp07psh+FLfjpIAUFBatWrdJ2LRRhhAt+emPc6LgLDgAIDQ0tKCjQdi0w/kTHXXCALfjpHmKx2MLCQmddcITAwEBswU+nuHTpkr+/v7ZroQgjXPDTD+NGLBaTyfIvUuoavr6+586d03YtMP5EHVFwlePq6mpsy8W6THNzc0BAgLZrMQ7+/v7Y4o1OUVlZif6wCa1gY2Pz+PFjbddCo+iHcaNhidPd3T08PCyRSJQKMxEIBOzyXp2Cx+NpzAWHYbijowMA0NfXNzAwgP6L06ZNa25uVlu9MJQjKyvLw8NDM2VJJBI+nz+BL06dOvXZs2cqrw/GhLGystJYWd3d3RP7orW1tWprouPox/uEbDYb5fE2KuHq1atZWVlOTk5btmxR6u1uYxs9Oo4mJQ6Px/v4449NTU2DgoI+/PBD9F90dHSk0WgaU6gYinn27Jmfn59mympra/vwww9tbGyQ97r37dvn5eWF5otmZma1tbVqrh0GWphMpiZ97//+97+lpaWWlpYAAH9//08//RTlF93d3Xk8nvGcV6Ifxk1jY+OUKVM0Vpy/vz/q0/oxMP7g8OHDE4iCTZkypaurSx31wZgAtbW1ixcv1kxZbW1t58+ft7GxGR4eLikpQWnZIGB+lNESHBz82Wef4XC4iooKV1dX9F+0tLQUCASYcaPfwDCcnp7u4ODQ3t7u4+Mzc+ZMpb7O5/NLS0t7e3tJJJJSBx/5+fkZlWmsywgEAmVX+5qamiorK62trXk83rp165T6Lh6Pr6qq6u3tbWxsXL16tSYXjTC0iEAgePDgAZVKbWhoWLt2LeJPo2T+/PnIHzk5OcuXL1eqXCwCrjtM4CDcgoICsVgskUjEYnFkZKRS312xYgUAoL29HY/Ha9Ln1zsM07hJTk52cnIKCQmJj4+fMWOG7KPMzMyenh659IGBgdOnT5f+75o1a5DLPj799NM5c+bY2tqiL9qoTGNdRlkrUyAQJCQkHD58uK+v77vvvpM1btra2vLz8+XSm5iYvPLKK9L/dXBwiI6OxuFwQ0NDSUlJ2L1RRsLp06c/+ugje3v7a9euvfnmm9LPRSLR7du3R6q9F154Qe4k0rq6OjMzM7yCOxIxdJvs7GylDiam0+kVFRXbt2/Pzc1FNupJodFo9fX1cumpVGpoaKjch2lpae+8846yVdWjCwkmj2EaN+np6f/+978BAE1NTd7e3rKPxjWTuVzuuXPnkMPXzc3Nu7u7lTJuMPSU3Nxcb29vPB7/7Nkzubc6nZ2dY2JiFH/9p59+ioiImDFjhpWVlZzAwjBUWlpa+Hy+vb29QCCwsrKS3b1OIpFQLv7dunXr3XffVVsdMdSOh4dHVVUV+vRpaWkREREAgLq6uiVLlsg+CggIQLN9p7m5eXBwUMlqAjDihk7DxgCNG4lEYmNjY2FhwefzSSQSg8Hw9vaW/qjjrtxYWlrOnTsXAABB0ODgoJubG/qisZiU7uDh4cFms9Gn7+rqQsKXT58+DQsLq6+v9/HxQR6hWblxdXX19PQEADQ2Ns6bN2+ytcfQB7q7uxGXvaKiYubMmbJjBv3KDZ1OV/mtMhiaxMPD486dO+iPYevu7kZETXV1dUxMTEtLi4uLC/II5cpNTU2NnZ3dpCtu4BigcYPH45cuXVpWVjY4OOji4sLhcGRDTuOu3FhYWDg6Oj5+/Li9vf2jjz5S6l1iLper++fxGA+9vb3oEy9durSoqKisrMzCwoLFYgUFBUkfoVm5Wb58+cOHD62srIaHh1977bUJ1hhDB4AgCOWsnzFjRkVFRUVFRW9vr0gkEgqF0kcoV25gGCaTyRM4sIBEIin7FQwdISoqqrS01NTU1NfXt6ioSFYloVy5EQqFmBc9Lvph3AQHB1+8eBH9/tDo6GjkD7lFP5TIKjalmPAJBBjqQKmfw8XFBdFGwcHBEyjLwsLi5ZdfnsAX6XT6W2+9NYEvYqiDV199tbOzE6WoIZFIf/vb3wAAgYGBEysOh8P961//msAXdfwMZaOCTCYrdSKadBlm5E4alKxdu3YC32IymUZlEunHLjZnZ2dZr0hn0fGbjIwNvfg5+vv7sdd6dQd7e/vOzk5t12IcuFzuxNw2DHVAoVD04uU1gUBgVIEF/TBuKBRKaWmptmsxDnw+36jsYt1n5syZEzsBVpOUl5djJ/jpDgEBAc+fP9d2Lcahs7NT9+8VMSqQYxh1HGMLZeqHcQMACAgI0PHFm/r6+k2bNmm7Fhh/snr16pG783QKoVCoF8tLxoOHh0dFRYW2azEOxcXFyh6OgqFWli1bxmKxtF0LRbBYrKVLl2q7FhpFb4ybqKgoBoOh7VooIj09fcIxVAx1EBoamp6eru1aKILBYLz99tvargXGX4iIiNDlBT8IgjgcjlHFF3Sf119/Xam3wTVPSUnJ5s2btV0LjaI3xk1kZGRxcbG2azEmQqEwKChILxYnjQcikRgUFKTLC36YC66DxMbGlpeXa7sWY9Lc3Iy9jqdr6P6CX0NDg7HtmtAb44ZMJnM4HAiCtF2R0WEwGFFRUdquBYY8mzZt0lmPCnPBdZPZs2c/fvxY27UYEyN0wfUCXV7w4/P5xhaTAnpk3AAAdu/eXVdXhyYlDMNXr169cePGZIr77bff0Ce+f/8+5oLrIMHBwXl5eSgTs9nsvXv3Dg0NTaCgx48fFxcXp6en9/X1ofxKXV3d1q1bJ1AWhlpRasGvr68vLi6usrJywsUNDg7evn0bZWIIgozQBdcLYmNjc3NzUSYuLS395ptvJlAKBEFpaWllZWX37t1Df5dCbm5ubGzsBIrTa/TJuFm9ejVKewWHw5HJZGXvTZSluroavffG5XK9vb0xF1wHIZPJCxYsQPmipqurq0QiMTU1VbaUurq6srKykJCQefPmXblyBeW3bty48X//93/KloWhAfbu3Xvnzh00Ka2srIaGhqZNmzbhsjIyMtC/n5Wbm/vee+9NuCwM9REQEFBZWYkytuDg4DCxAyBu3bplamoaHBxMIpFGHps+KkKhMDs7G83ZgAaGPhk3RCJx+/btKN8Jr6mpUeoyM1mEQqFIJEKv5JKSkuLi4iZWFoa6OXDgQHx8PJqUbDZbqds2pFRUVDg5OQEAKBRKSUkJmq/Q6fTt27djBrFu4unp2dvbi9Imnsz1cywWa+rUqSgTQxBUUFCAHfmos5w8eTIlJQVNyurq6tmzZ0+giPLycuT9SiqVWlBQgOYrd+7cuXv37gTK0nf0ybgBAGzcuPHq1atorGMmk1lTU5Oens7hcJQt5enTp+iPHKXT6QsXLsS0lM5CJpM3bNhAp9PHTVldXS0SiYqKiu7fv69UETY2NkgUQygUdnZ2jjs+IQhKTEzcuHGjUqVgaJKEhISkpKRxkzU3NyM2x82bN5XdESiRSDgcjvReoXG5d+/eyZMnlSoCQ5OEh4f39vaiCWjW1NR0dnbm5OSUlZUpVYStrS1yZaZAIEBzQS+fz+/t7UWuvTM29OztHiKRmJiYeOvWrWXLlilI1tLS4u7uHh4eXllZef/+famvg+YGRBaL5ebmhv721Bs3bqAPtWJohY8//jgsLGz//v2Kk1VVVb3xxhvu7u4HDhyIiIgwMTEB6G5AXLp06ZkzZ4RCYXV1tZmZ2bix8Nzc3Li4OOzdOl2GQqEgAU3F0e2qqqoVK1aEhoYmJSVVVFRI7+5AcwNiWVnZ3LlzUXpfQqGwpqYmPDxcyXZgaJS4uLidO3e+8847ipO1tbV9+umnBAJh79690jGDRj1FR0dnZ2cHBgYyGAw0Sur8+fM///yzko0wEPRPvIaHh+/duzcoKEjBVbq1tbVz5swBALS2tlpaWko/R3MDYm5u7owZM9ra2gQCQWlp6fz58xUkzs7O3r59O6aldBwkoJmWlrZmzRoFydra2pCrfTs7O6WneaK5AdHMzOyDDz6or6/39vaeMmWK4vHA5/MLCwtPnz6tZCMwNM2BAweWL1++b98+BRc51dbWIjfZtbS0yMqKcW9A5PP5iPXD5XI7Ojrq6uoUHzocHx9/4cIFpduAoVk8PT1xOByLxVJwSThiMZNIpJaWFtklfzTqydPT087Orr6+3t3dvaurS3FiJKpgnMs2QB+NGwBASkrKmjVrFAgdsViMbJ4oKSnZvn279HM0pvEbb7yB/AHDsOLgFJ1OZzKZmJbSC7Zs2VJQUECn0xXsxEKC2dXV1cHBwVKvCM3KTXNz8507d7Zv356bm6v4TjsIgn788UeUm1UxtAuZTP7nP/956NChf/zjH2OlkUgkrq6uQqGwu7vb29tb+vm4KzfW1tavv/46AIBOp9vb28t+dyRpaWlbtmwxWi2lX1y7dm3ZsmU7duwYy/0WiUSIesrNzX3ppZekn6NRTw8ePDAxMVm2bFlCQoJiV43P5+fk5KDcA2SQ4NC/TqZT0Gi0d95559ChQ6M+7e7uvn//vp2dnbOzM7KEoxQQBP3+++8XLlx47733xop/8fn83377LSUlBVu20RfEYnF0dPSbb745ltC5e/euvb19c3Pz2rVrkZgUSmAY/v33321tbXk83urVqxWkPHTo0Pnz543wzQX95eLFixkZGevXrx/1aXl5eUdHR29vb3h4+ATe0O7q6kpJSamurn7nnXf8/f1HTUOn0xsbG3/66SdlM8fQFjweT7H7/euvv3p5efH5/JdfflmpnDkcTmNjIwRBFhYWCqIKEATt3r07Ly/PmE8N0FfjBgCQmpp6/fp1xPvRMBAE7dq1Kz8/35iHjj7C4/GWLFly6tQpBYEG9ZGcnBwZGYm97aJ3vPfee97e3hN++3Iy8Pn8s2fPZmVlYU6UfkGj0bZs2fL1119rvmgIgo4ePfq///3PyJf69OxtKVnWrl1LpVLT0tI0XC4EQcePH79//z5m2egdFAolIyPj+PHjmj/qOjs7m0qlYpaNPvKf//wnNTUVzQt3qoXP5x85ciQjIwOzbPSOgICAr776Kjk5WcOiBoKglJSU06dPG7llA/TauAEAnDhxgkKhaHIA8fn8Xbt2/fbbb9jQ0VM8PT1/++233bt3a+ysdAiCkpOTTU1NT5w4oZkSMVQLkUjMysoqLCzMzs7WWKF0Ov23337Lzc3FjpnQU9auXRsTE3P06FGNqSehUHj8+PG33347IiJCMyXqMnoclpKSlZW1e/fuXbt2mZmZqbUgOp2ek5Pzyy+/YGs2+g6Px3vnnXfCw8PVHWtA1vlOnTqFiRsD4ODBg01NTdHR0eoOa6alpXV0dFy9ehVbs9F3GAzGSy+9dOjQIQWv96oEPp9/+PDh3NzcyRzNb0gYgnEDAOByuWFhYV988YX6ftfs7Gwmk4mJG4NBLBZ/8MEHOBxO8UsHk4HL5X7zzTcZGRnYOp/BoG5XCoKgCxcuhIeH79y5Ux35Y2geDbhSpaWlmZmZGRkZ2DqfFAMxbgAAAoFg06ZNMAxv2LBBtXKHTqffuHFj+/btW7ZsUWG2GLrA+fPnz549u27dOtXKHaFQeOXKFRwOd+nSJUzcGBgMBmPz5s2zZ89++eWXVbiEA0FQbm5uQUHBmTNn0J+QjqEXiMXiQ4cOFRUVxcbGqtYD53K5SUlJCxcu/PrrrzHHWxbDMW4QGAzGzp07ra2to6KiJm/icLnc+Pj4lStXYuPGgBGLxT/++OOVK1d27NgxebmDbOjr7e2Ni4vDFmwMmJycnD179oSGhoaFhU3exEE8qPfffx/bcm7AIB54T0/Pjh07Jq+e+Hz++fPnvb294+LiMA9qJIZm3CDQaLQdO3ZMnz59wYIFCk6KHAuhUMhgMO7fv79gwYIDBw5g48YYEAgER48eLSkpWbJkib+//wRED4vFKikpaWhoOHnyJHZMvpFw8eLF+Pj4wMDAsLCwCWyqQM4pTkpK2rdv38aNGzEPyhiQeuB+fn6+vr7KWsYQBNXV1RUXF0MQhHlQCjBM4waBx+NduHAhJSXF2dk5JCRk3GGECJr09PSgoKCoqKjIyEjMrDE2BALBo0ePUlNTy8vLV61a5ePjo1hjSQVNW1tbdHT05s2bsc3mRgiNRktKSkpJSVm4cCEah4rP5+fm5lZUVERERKxevTo0NBQza4wNHo9XUFBw6tQpJycnPz+/cR0qoVBYVVVVXV3N4XB2796NqadxMWTjRopAIMjMzDx37hwEQSKRCADg7e2NjKSurq62trbu7m5nZ+eZM2diggYDQSwWFxQU3L17t7a2tq2tzc7Ojkwme3h4AACEQmFjYyMAgEgkEonEt99+GxM0GAiIQ5WXlycWi8ViMQDAz88PecRms3t7e3t6epycnEJDQ19++WXsoGoMIONQ1dTUWFlZAQAcHR0RHwlRTwAAEonk5OS0adOm4OBgTNSgxCiMm5HweDyBQPC95/enRacxUwYDDWKxuLm5+XvP7/dz92PLMxgo4fF4xxyPfcr4FLGMMTDGRSAQ8Hi87z2/P9Z/DDNlJoyR6nUKhUKhUOyAHWbZYKCESCR6eHjYATvMssFADyJnMMsGAz1kMplMJtsBO8yymQz6fUIxBgYGBgYGBoYcmHGDgYGBgYGBYVBgxg0GBgYGBgaGQYEZNxgYGBgYGBgGBWbcYGBgYGBgYBgUmHGDgYGBgYGBYVBgxg0GBgYGBgaGQYEZNxgYGBgYGBgGBWbcYGBgYGBgYBgUWjBumnKb0j9KH+4bRpleIpZMprih3qH7n99nPGQo9S0Ygq/HXpf+PdYj9CjVCrkSMQAAuSdyyxLLUCaefAc++elJ3qk8Zb/FymaV/KcE+VvuF5d9hBJlWzHJmWJ4aFjUKFscwkDHQNr7aaNWQPYRejBRMxmU1ReTn3RKSTYp2YezuVVcMNovKH2EHmVboReiRgvGTf3d+pdOv2RiZYImMTQMPT76eDLFsR6zfNf4eq5Q7l54HAFnP90eAADDcOEPhQMdAyMfoQeWwNlfZ6O8xmtkiRhDvUPQMBS8NRhN4sl3IAzDXQ1di3ctVvaLQ31D1AVUAEBrSeuz1GejPkJfB6VaMfmZYnhoWNQoVZwUggnBztMOjCYlpI/Qo1QrMFEzEqX0hVKCfVSUkmx/KRqCKbMoo/6CyCMlslKyFSOFm26iRuOmg97x+Mjjwa7Bwu8Lh/uGS+NLAQCDnYPdz7s7nnXIpqy6WlV7s/ZJwhMAAOMhI+9U3hB/qPx8OQCg/Fw5gUQQdguliRkPGfTrdOTfs1vPpD/JqMXBErj2Zu2w4C++VFVSVcY/MhDbnJ3PRlJKv170QxEAABqCiGZEAEB/a3/bkzY+iy/9uvQRAIB2iZb3TR7zEVNxK7hV3B5mTw+jR5pJP6e/8LvChvQGdh5bruiRJRoPw/3D5efK6+/WV1yoEHYLpWsntSm1yFNpSqU6kFvJlY4Z+nW63HDK+yavs66z/m69tLjuxm4+m9/X3CdNxnnKebD7Qe3NWgBAw72GvFN5Q71D0to+f/CcV8MDAHDKOU6BTqIBUelPpURToqy8QB4BAFiPWfmn8xFfTdlhoNRMMR5aS1ofHXwEACj6oej5g+eccg4YTdTAErjw+0LGQ0bV1aqRv51cB0rEEvqNP8cMO48tzQelZBN2Cx99+ejJT08AAE9/eVp7sxaROdLaFn5fCABoLW2lzqeC0aSE9BE0BOWdyss9mdvD6FGqFQAAdh674kJFWWLZEH9IrmhjFjXo9YWCDhz5k40latBLNsZDRvrH6c8fPAcAsLJZuSdzwQj1hFQVR8CN+gsij8Bf1ZNSrVAwxkYVbrqJGo0bex970aDIzM5soGOARCZNDZgKADCfYm4zzQb5G2G4f5hXzZv52szW0lYYhu2n25tYmjQXNVu7WAMAYAkctCXIxPJPZ8hzheesmFnIvxmvzsDhcAqKw+Fx5nbmvlG+shVz9Hd09HdENI3DTAfRoAiGYHsfe/GQ2MzOrK+1D4ZgTjmH4keBIdjKxcrW01a2wtJHAAD3pe7uS93dwt0Ut4JAIkx/ebrNNBtpJsX/Lg7+e7Cdlx07ny1X9MgSjQeiGRFPwtu623bWd5rZmbkucv3jc3Oizxof2WGgVAc6znGUjplZMbPM7Mykj+y87EwsTdj5bIcZDtLiTK1NqfOp1tOsZXPA4XAz1s4AAHhEeIgEIoIJgWhGJJgSbD1sm3KbbN1tAQBioRgAQLIgWU61nP7ydNmmIY8AANR5VMosSuBbgcq2QtmZYjw4zXWSiCU9zB4TSxPyVDKy2jFS1DRmNFJmUTyWezAyGSN/O7kOxBPxs9b9OWamLZkmzQelZDOxMrGiWnm94AUAcJjpgMPhSBYkGIad5jrBElg0IBrqHYIhuLW01dHfEYwmJf58ZErwivSaHTPbepq1Uq0AAFT/rzpwcyAMwZ11nXJFG7OoQa8vFHTgyJ9sLFGDXrK5L3UnmhK9XvQCALgvcx/uGx6pnmAIxuFx0BA08heUPgIy6knZVigYY6MKN91EjcYNnoi387JrymmCJTArm+US4gIAgGEYlvxh8bUUtwz3DZtYmli5WDEfMX3X+OJwODwBjyfiOU853c+7AQASSMKp4Ax2D0qzbbzfWP1bNfKPfp0utR9HLQ7IRAeH+ENtT9oAADw6zzPSs53WDgDgs/gkc1J/ez+eiLd2tW4taYWGIU45HZuj0gAADmFJREFURzQo6mroAgBAwxAMwU15TQAARiYDACB91N/WX3W1qrmwua2sTXErEC8fca2QTNzC3Nor2pnZzHnb5skVLVuisYEn4s3tzfta+6AhqKWoxc7rjzX57sZuRHaDCXUgp5wjHTPVv1UPdv05nEjmJBwe19vc283oNrczH6s4pGI4PA4gcoqI55Rz8EQ8yZw02Dk42D3YUtICACCQCG1lbQAAgimhLq0OyIw65BEMwSXxJZ11nQ33GtC3YmIzxXjAE/EWDhatJa2iQZFIIDK1MQV/FTXIj+g4x3Ggc4B+nR7yYcjI306uAyUiSfW1P8cM6zFLtjg0kg1PxA/xh+y87QAALiEuvc29iB+PJ+JNbUwZDxkSsaSvrY9oSmwtbQWjSQnpI3Y+m5nFrEurE3AFKFshHXjU+dSW4haAA9QFVLmijVzUoNQXCjpQ9idDGEvUoJdsgnbB1MCpiHUCwzAMw7wanrx6GhBJIEkPq2eklJA+klVP6FuBZqZIhZuuA2uW3ube/9fOvQc1cW4BAD8BHd5ECigioEKBERsUJDoUTQBBsVIYqFautco4DrYzDHfG1oKKIq2FVhgpaNVLRQmKOtOiiA+gDI8QXoEqEKg8LA8xKAykBJZ3CLl/7J0Mo72WhJCQ9Pz+SrL5ds9uDuc7u5tQe61WmVtkf8P+f4tOw2llRoLk9pYPcT7wbvAGOgb+chHmjLpQcql5y+YwZ9SIkksNTk/zR6lfKBa0Cp5ceeKw0+Hv36ogpWdKVzJWKm1zaD7UXKxZunap0jbXeLtxamJqyaolStsiUjgllxrlVzY0H5Q8Xyi5sv3TUCQL/mtB8yeWEhsjiVF1FEidYM4gWWHOIDlg2swR/hM/hBBCCGkUbG4QQgghpFGwuUEIIYSQRsHmBiGEEEIaBZsbhBBCCGkUbG4QQgghpFGwuUEIIYSQRsHmBiGEEEIaBZsbhBBCCGkUbG4QQgghpFGwuUEIIYSQRsHmBiGEEEIaBZsbhBBCCGkUbG4QQgghpFGwuUEIIYSQRsHmBiGEEEIaBZsbhBBCCGkUikQiUXUMrxONiOIM41QdhcLESGJUHYLmm56a/mbxN6qOQmEwZ5QjlhKr6hAUCdNGCXB6UhcLsblRmlhKrAZ/tGg+YM4gWWHOIDlg2swR3pZCCCGEkEbRkOams7Pzxx9/LC8vl3Xg1NSUHJu7e/fujRs3IiMje3p6AEAsFqekpOTm5qakpIhEIjlWiJRvamoqJSXll19+kW+sfBslCCI5OZl83NXVNT09PTY2RmYRUgu//vprSkrKn3/+KetAhZSanp6eW7duPXz48Oeff5ZjbUgl5J6epqen5bu1cv369YKCArK4DQ0N5efns9nsxMTEoaEhOdampjSkuYmPjzc3N+dwOLIODAoKkrXocLlcExOTffv2MZnMQ4cOAQCLxTI1Nd2xY4e1tXVqaqqsMSCVuHnzpomJye3bt2UdWFZWdvbsWfk2mpqaWldXRz729/c3Nzf/4IMPxsbG5FsbUjKJRHLt2rXe3t7m5maZBo6Pj+/evVvWzb1Zai5evLhnz56dO3cODg5KEwktcHJPT3FxcRUVFXJszsLCwtfX9/LlyxKJJCMjo6Wlhclk9vT0/KOmJ01obiYnJ7u7u3ft2hUZGSnTQBGIRkZGFi1aJNOop0+f3r9/HwDc3d3ZbDYAPHr0yMnJCQBoNNqDBw9kWhtSlaysrI8++kiO5qagoIBOp8uxxYaGhtWrV0ufnjhxQiAQFBcXz3wRLWTV1dXvvvtubGzs+++/L9PAyspKskTI5M1SMzg4mJGRAQD9/f3m5uayrhApn9zTEwAUFxevX79epiHj4+NZWVlbtmzp6enJzc2lUCgHDx48cOAAAHR2dtJoNFljUF9q0NyIRKIbN27ExMQAwB9//MFisSYmJoKDg8mlQ0NDcXFxenp6XC6XQqHMHMhise7cuRMfH9/S0lJVVXXu3LmqqioAOHvyLJvF7ujo4AAH+qC0tFSmeEJDQ8kT98ePH69duxYA+Hw+lUoFAGNj4+fPnytip9Fc5eTkHDt2jCCI6elpMnk++eSTgYEBcml2dnZ7e3thYaG2tvbMUWw2Oz09PS0t7d69eyKRKDMz89SpUwBAEESYb9j01HQrtN5k3Wyva+/v75cpHrFY3N7e7ujoKH3l6dOnubm5iYmJeAq+QHR1dd26devixYsAkJWVVVdXx+VyY2P/94uq9vb2xMREbW3tzs7OmaPGxsYuXLiQnZ196tSpsbGx+/fvk4kHAOH7w4WdQj7wkxKThC3CpqYmmeJ5s9QcOXLk7NmzHh4eTk5OK1asUMROozlRyPQ0M/HY+eyEsITh4WEe8Lpauh5kPZienp59PM3NzSKRqLy8vLm5OS4uDgD09fXFYvH169fd3Ny2b9+usD1f8GS7aKEStbW1gYGBH374IQDk5OSsWrVKR0fHzc2NXGpsbLxs2TIHBwd3d/eZo5KTk42MjIKDgxsaGuLi4kJDQ7W1tV+9egUAeeV5/nT/rutdi2BRRHQEg8GQjpqYmEhOTn7zNufBgwel50kUCkVbW5u83HflyhUAEIvF0sQVi8XzchSQLAYHB62srFpbW8fHx589e0b2NHQ6XVdXl3yDo6Oju7s7mVRSjx8/ZrFYV69eBQBXV9fly5cHBAQEBgYCQFlZ2YpNKzJ3ZNqB3TODZ4ePHp45sKioqKam5rUYHBwcgoKCpE/z8vK2b9/e1tYmfSUmJkZLS4tOp3t7e/N4PEXuP5JLW1ubk5MT+UedkZGRlpZmaGgovS9ga2urpaUVFhZmaWk5c9Snn34aHx9vb2//4sWLa9euubu7t7a2Tk5OEgTR3t9en1FvBVZcLpf1lGWy1EQ6Sr5S09HRER0dXVdXFx4evm7dupUrV87f0UCzoajpycnJiaw8j4oeMRiMshNlS2CJ33a/Pfv3zByYnp7e29v7Wgw+Pj4bNmwgH4+MjIyOjm7duhUAoqOj9+7da29vT6VSPT09o6KiGhsb33vvvfk5EguOGjQ3GzdurKmpcXV1BYCSkhIyA6SfJQA0NjYePnz4tVGXLl2qr68HAD6fb2Bg4OXllZSUxGKxCILQ19d3CnBqGG5YtHWR1w6vmaN0dHS++uqr2UR1+fLlo0ePkomydOnS4eFhABgeHl6+fPmc9hYpApVKdXZ2FggE5ubmGRkZTCYTANasWaOnp0e+4S//yH/44QcykQiCEIlEZOK5uLgAQElJSVBQkPO/ne9eujtGvP4VGW9vb29v77fE09fX99tvvwHA8+fPX7x4weVy29vbX758+cUXX7zzzjt8Pl9B+43mxMvLKyEhwdfXVywWCwQCMzOz4eHhTZs2Sd/Q3d39WmfT1tYmFArt7e0BgM/nb9iwgUajDQwMmJqa5ubmMhgMZhST6COKG4pndjYgb6m5d+9eUlLS3r17XVxc0tLSvv76awXsNpoDRU1PCQkJPj4+AFBTU/Ptt9++Wv2qZLJki/+W1waGhoa+PR4rKysLCwvysZmZWVtb27Jly4yMjKytrRkMxvHjx3Nycuayv2pEDZobAOBwOJ6enhKJhM/nm5mZ9fb2GhkZSZc2NTVJr/YPDg4aGxsDgK6uro6ODgBkZGRERkZKJJKhoSETE5OHDx9u2rSpurqa/i/6+H/GjY2N2Ww2OfnB7E6nAODBgwceHh40Gu327dshISE+Pj5dXV00Gq2rq8vPz29eDwWaJR6PR1YcLpcbEBAAAKOjo9KlDQ0Nnp6e0qdCoXDJkiUCgcDW1hYA0tPTP//8cwAoKSnx8vICgIqKiqNHj74QvHil/2rzus0tLS1UKlVaRP72yo2ZmVlUVBQAlJeXW1paurq6joyMrFmzBgCePHmyY8eOeToISFYcDicsLKylpYW8KEJWHnLR5OQkWVJIZKmR5szY2FhlZeXJkydra2vJxCsqKgoICKiurrY4YOGS6TI+Ps7j8TZu3EgOl6/USH/9sHXrVqFQOE8HAclk9tPTxMSEWCzW09N7bXoiV3L48OHBwcHFixfX19e7uLv8/t3vUR5RM6cnmMWVGxsbG+kpXF9f3/r16/fv3x8eHu7j42NqajoxMTFvh2HBUY9/4ldbW5udne3o6FhfX79582YAmHlDgcFgSL838/HHH4eHhzMYjPPnz5ubmxMEsXr1arIj/vLLL318fDo6Ovh8/rZt25hM5pEjRzw8POh0uo2NzeyDqaysDAwMpFKpIpHIzs6usLBwdHQ0ISGBTqc3NTVFREQsXrxYoXuP5EEQxPHjx729vVtbWw0NDS0tLX19fQ0NDcmlwcHBqampZmZmAFBXVxcVFZWXl1daWlpVVWVnZ9fX1/fZZ58BAIfDqampsba2LioqcnNzCw0Nzc/P7+zstLGx8ff3lzWkly9fJiYmcjicxMREJpPJYrEMDAx4PF5ERAQZCVK5q1evUigULS2txsbGbdu26enpkQUHAHg83k8//XT+/HnyKVlqtmzZEhUV5eHh0draGhwcbGtrKxAIvvvuOyaTWVZWZmVl5efnZ2homJycTKPRdu/eLVNxeLPUFBQU8Hi8FStWEAQRGhqKpWYhmP30dOHCBaFQGB0d/eb0dO7cOVtb29HR0crKSiaTuWvXrjNnzjg7O1tYWEgb4lmqqKjgcrlUKlVfXz8kJOTJkycDAwMEQeTn50dERJDnVP8E6tHcvEV3d/f333+fkpKi6kCQOgkODr5z546qo0DqJDMzU09PT/pdUYT+Fk5PKqQGv5Z6i507d1ZWVuJVfTR7x44dKywsdHBwUHUgSG309/fv27ePx+OR9ygRmg2cnlRL+/Tp06qOQX5CoXBycjIkJETVgSC1QRBER0fHoUOHDAwMVB0LUg+6urrNzc00Gm3mF0URejucnlRL7W9LIYQQQgjN9F86L5a7SqliCwAAAABJRU5ErkJggg=="
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_7.png](attachment:wf_7.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Adding a combiner\n",
-    "\n",
-    "In the same way as we did for `Task`, we can add a `combiner` to the entire workflow:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "wf7.combine(\"x\")\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf7)\n",
-    "\n",
-    "wf7.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "Now we should have two lists in the results, one for `y=2` and one for `y=3`:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_8.png": {
-     "image/png": "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"
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_8.png](attachment:wf_8.png)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Setting a splitter for nodes\n",
-    "\n",
-    "We presented how to set a `splitter` and a `combiner` for entire workflow, but we could also set a `splitter` and a `combiner` on the level of a single node.\n",
-    "\n",
-    "Let's create a workflow that takes a list as an input, and pass this input to two nodes. One node can take entire list as its input and the second node splits the input: "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "@pydra.mark.task\n",
-    "def mean(x_list):\n",
-    "    return sum(x_list)/len(x_list)\n",
-    "\n",
-    "wf8 = pydra.Workflow(name=\"wf8\", input_spec=[\"x\"], x=[3, 5, 7])\n",
-    "wf8.add(mean(name=\"mean\", x_list=wf8.lzin.x))\n",
-    "# adding a task that has its own splitter\n",
-    "wf8.add(power(name=\"power\", a=wf8.lzin.x).split(\"a\"))\n",
-    "\n",
-    "wf8.set_output([(\"out_m\", wf8.mean.lzout.out),\n",
-    "                (\"out_p\", wf8.power.lzout.out)])\n",
-    "\n",
-    "with pydra.Submitter(plugin=\"cf\") as sub:\n",
-    "    sub(wf8)\n",
-    "\n",
-    "wf8.result()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "This time we have in the workflow output a single value from the `mean` task and three values from the `power` task. The graph should look like this:"
-   ]
-  },
-  {
-   "attachments": {
-    "wf_9.png": {
-     "image/png": "iVBORw0KGgoAAAANSUhEUgAAASAAAAFoCAIAAAB46rHWAAAACXBIWXMAAAsTAAALEwEAmpwYAAAgAElEQVR4nOydd1xT5/fHT0KYYUsAZRjExQYXKCBui4qoONA6Wme19as4aq11r9q6tzgriKCgICpDERkBUVA2KgJhQ8KGMG/I74/bH40YkgBZhPt++Ue4ee7znMR87vPcc89zDo7FYgEGBoZwIIjbAKGDw+HEbULfA7vsCgrpFxgAPHnyRNwm9CXmzp0rbhOkB7y4DcDAkGYwgWFgCBFMYJJCfn7+7du3o6OjRTNcenr67du3ExMTRTNcv6Vf3IP1hi9fviQmJra2tq5cuVKoAxUXF1taWlpbWwNARkZGeXk5AGRnZ5uamjo6OnI8hcViBQUFGRsbKykp5ebmWlpa6ujocGwZHR1tbGysrKyMx/97STU1NdXX13/y5MmYMWOE84EwADCB8eTy5cv/+9//jhw5smLFCmE7JAkEgoyMDACcOnVq+/btZmZmenp6v/76q6WlpZqa2rftW1paHjx40NTUpKGhMXfu3K7UBQDXr1+vra3t+HPMmDH79u2Tk5MTxqfAYAcTGDfq6+tbWlrIZPKNGzdEOe7GjRvJZDIAsFgsRUVFZWXlrlr++OOP06ZN4678hoYGV1fXWbNmycrKAkBYWJiDg4OgTcbgDCYwbmRmZg4ZMkT0444dOxZ98fbtWycnJ3Ra64qCggIGgzFs2DBUP9+Cw+GmT5+upKQEAOnp6WQyWV1dXeA2Y3CkPzo5MjMzQ0JCPD090T+DgoI+f/4MALt370ZfoFAolMePH7e1tT1//pzJZHbqJCkp6fnz51evXi0sLAwNDb1y5QqDwRCgkfn5+ffv3y8sLFyzZk1XbfB4fGJiIpPJVFVVPX78eEVFBcdmRCIRXWG2trYmJSWZm5sL0E4M7vS7GYzFYuXk5EycOHHr1q3r168HgODgYNSLMHr06Lq6uo6W9vb2oaGhzs7OVlZWnTqprKwsKyubPXv2w4cPb9++vXfv3rVr17q5uRGJxI42DAbjzp07XYVEuLm5DRw4kIudhoaGJBLp4cOHN2/e/OmnnzguAuXk5H799Vd0fjM1NfX29t66dSuXPgMCAjCXhojpdwIDgBkzZlAoFHt7ewAoLS2Vk5PT1NQEABKJZGRkxN4yNzeX4xKxra3N2dkZAD5+/Ojo6IjD4W7evNmpDZFI/Pnnn3tsJA6HU1JSWrZsmbu7u6WlJWptJwoLC1VUVND1nra2dmhoKJcO29vbQ0NDFy9e3GOTMHpAvxMYDoeTl5d/9+4dGhCUmppqZmaGvkWn0wcMGNDRkk6nKygoqKiofNuJrq4uALS2tqalpXl4eABARUWFlpYWe5vGxsZ79+61t7dzNMPV1RXt5FsyMjLOnTt36dIlWVlZWVlZJSWloqIiji2vX78+duxYFxcXAEAQRFVVlcsH//LlC4Ig3G/nMAROvxMYSkFBgb6+PgBkZmYaGhoCQHV1dac127fTV0xMjLm5uYaGxsmTJ21tbQkEgqamprKyckNDQ1JS0syZM9kbKykprVu3rge2ycvLm5qaoh6LioqKhoYG1OdBo9Hy8/M7/B8A4ODg0OEPTExMRCdV1M5vPfslJSUcff0YQqWfCmzRokUhISHa2tq2trapqakxMTEsFmvixInsbXJzc0eMGMF+xNfXd+XKlba2tnp6eg0NDVpaWk5OTs+fP29ra5s9e7agbBs6dOiECROeP38uIyPz6dOnPXv2oDpHYy9u3rzZ8fxqypQpISEheDy+vr7ezMxs+vTp6PH79++Xl5cvXLiQvVsZGRkDAwNBGYnBJzip35iAw+F6Fk1/5MiRVatWiexHGRcXRyQSv3WosJOYmGhmZqaoqMizt5iYmK7iPzpobGz09/f/NkJl7ty5Uv+rEBn90U3Pk23btuXm5jIYDEm75Dc0NPCjLj6bYYgATGAcsLGxSU9PX716tYjHbW9v5zJ1VFRUkEgkfvr58OHDqFGjuLdhsVjfPtzDEDj99B6MOytWrBD9oLq6umFhYZWVldOmTePYQEtLq5Ojsit4Lg4BIDU1NS4uzsbGpntWYnQT7B4MozPYPZgAwZaIGBhCBBMYBoYQwQSGgSFEMIFhYAiRfuHkELcJfQ+p/1WIDOmfwVjio7Wh9YrlldaGVhGcJVjE/Z8mPUi/wMTIk3VPph6fKkvkvNG4K2SJslOPT32yDnu0IA1gAhMW2c+zAWDYrGE9OBc9C+0Bo0+DCUwotDHaInZHzL3e8xzUc6/Pjdgd0cZoE6BVGKIHE5hQ6NnikB1soSgdSL8XkSMHcQfFbYKksJ+1X9wmSDP9VGDCo5HeeHfa3TVxa3ozfXXQjrSfMTizMXWjEkmp971hiB5siShgApYFLPBeIBB1AQCegF8RviJgWYBAesMQPZjABEmaTxrJlKRtoS3APrUttEmmpDSfNAH2iSEyMIEJjEZ6Y/j28BmnZgi85xmnZoRvD2+kNwq8ZwxhgwlMYAQsC1gRvgJPEPxXii0U+y6YwASDMBaH7GALxT4KJjABILzFITvYQrEvgglMAAhvccgOnoBfE7/m7rS77QjnbMEYEggmsN7y9uJbQ0dD4S0O2VEnq49aNyrxKlb3tc+ACaxX1FBr3l9/7/g77yxOgmLMT2PeX39fQ60R2YgYvQETWM9pR9p9XX3dg9yFvThkB0/Auwe5+7r6YgvFPgEWKtVz3l58CwDjfhnXr4bG6BbYDNZD0MXhmJ/EU88OWyj2FTCB9QSxLA7ZwRaKfQVsidgTJGSFJiFmYHABm8G6jXgXh+yM+WnMp6BPtDSauA3B6BJMYN0DXRyufLlSXItDdvAEvJuPm9cML2yhKLGI/1fStwjfHm6/y15ytj8qkZTQECpxG4LBGUxg3YCWRqNn0i2WWYjbkK+wWGZBz6RjC0XJBBMYv7Qj7V4zvNx83MRtCAewhaLEgnkR+SV0S6ierZ6kTV8dpPmkFScUf3fuO3EbgvEV2Az2H9nPsil/UeiZdPaD5SnlTzc87WpxyChn5EXkidDGLsEWipIJJrD/SLmbMnrdaA0jDfaDRG0iDo/ranFI1CEaTJCUQundWihyuZp0dYrkXE36EGKr0Ux9TW1taC1OKNYcpkkkEYc6DxX2iCwmK903vb60fsKOCW/OvLHzsAvfET712FQZORkA+Bj4sb6kvvR9qdFUI/azCmILaqg1M07NUCIplb4vTbySOHD0QDUDtWGzhxW9KcqLyLNcbqk2WK0iq+Lzs8/qZHUFNYXytPLx28Z3Gj3TP7OltqWtsa2V0Wq10kplkIrAP6ASSWnuzbmPVz7m50Yx5W7KnKtzCApf/QCI2kQujx+IOkQDVUm5mvQVxDaDKagpGM8wpqXThn43dMCIAQDAoDH8l/gjTQjaoCC2oLaglv8Oy5LLEs4lsP9L9U5lb9BQ1mDoaFjxsQIA8mPyAUDbTLvj96Q1UstoqlEndQFAxsOMVkYrujjUNNac/td0ggIBvRzIq8o3VjaiPbBYLHlVeQaNMWT6kILYgk6dtDHadK10NYw12prahs8erqCmwOeH+hT06XPw57iTcbR0vtZ+HUntWUxW2r20uJNxAPDmzBsACN8Rzmxlos06riYExa8EVhBbYOhoiL4ufV8avC448Wpi9rNsACh6UxRzNIZBYwBARVZF3Mm4TP/M3Be58afjvzUj0z/zw80Pby+8jf0ztr6kns8PK5WITWCKAxTLU8v1xukpaSmhcwhRm8hsZXb8lw8aM0hVX5XjuYlXE8tTyzsdxBPwcspy7P9kFb9KTqiip1KeUk6eRG6uaVbWUQYABQ0FHP7f6mG0dBrJhNSpzzZGW054zrzb8/79s7EtOyTb+gfr6txqABgwbEBDaQPqJSKZkkoSSyy/t2ypbVFQU6gv/upXJSMnI6csV5JYMthxMFGbiJPhq2QZPZOeE54z3GV4Q2mDrNJXn4XL1QRNal+dW92Dq0lBbIGhw78CE/3VRCoRm8BijsUUxRcx25ip3qnyKvIAwKAxiDpE9N3PTz9HH45Gf/0sFivDLyMnLCf3RS4A5L7MTb6TXJFV0elmg2RKslxuyf5vxNwRnQbVHKpZm1+b+yJXRk6G+prKrihaOk1vnF7Hn4E/BALAk3VPjCYbobMH0oQknE+ozq1+vPJxW2MbALTUt8irypd9KENPkZGTkVeTb21olVeVR09pKGuI2B0BALUFtQnnE5oqm+iZ9JwXOZ0WZl1R9KYInU9q8mtkZGXY3+JyNUGT2kfuj+zu1QQA6orq8DL//iREfDWRVsR2Dzbn6pxORwopheyXz1Svfy/JLbUtxW+LtUy09G31AYA8iaxOVjdbYtbpdBweJyMvA1zRMtFy3OMIAKaLTDsOtiPtSZ5JOBxO3Ui94+C8O/PQ6kFLHi9BjxAUCVOPT2XvTVFTcc61/z7FrIuzAEBFT6XDV66sq4yeomGs0elcfhj63dCsR1mfnnySVZItSSpRNfhvPieZkgYMG8DeuEM8ADBs1rBU79T6kvrGisauribWq6w7/gz8IXDenXkAoDZYrfht8QjXEejVRJYo+3jl4wk7JgDb1QRdVqBXk/rievRqoqKn0lDWkHAuYerxqbUFte9vvAcAeia9KqfKcrlldz+4VCGuGorfErYtjJ5Fb6puYrFYZcllUYeiagtrWSxW/Ol4FotFS6dlBmSyWKzS96XRR6LriuvamtoENXTk/sjCuEL2I5JQZrI3dGU/s4359tLb1wdei8WqfogEuekVNRVL3pWgNxsN5Q2AA/T+mKBAyAnPQd0hACBLlGW1swpiCvhcaPHDpAOT9Mfrsx/pff0h8dJV9SM8Ac+gMYxnGIvFqn4IFsnBgezn2aneqZIZFdUtApYFWC637FmVTQyBIEEzmITQ++KUksP8u/OfrHmC5SoVI5jAOuM7z3f25dl9d3HIDpbUXuxgAvsKNMW8gb30xCtgSe3FCyaw/xBNinnRgyW1FyOYwP5DNCnmRQ+2UBQj0vZj6jHCrj8kXrCForjABAYgvYtDdrCFoljABAYgvYtDdrCFoliQ5p8Un0j34pAdbQttQ0dDNF0phmjo7wJrpDdSTlCke3HIjuPvjlhSe1HSrwXWjrTfnXZXjCnmRQ+W1F7ESFYsIp1OLysr+/DhQ3t7e0hISFtbG7t5MjIyOjo6Y8eOJRAIDg4OJBKJSCT2Zrh+m9u9335w0SNmgSEIkpWV9eDBg4CAAARBDA0Nhw4dqqOjY2j478YwVVVVBQUFAKitrW1paQGApqYmKpVaWlpKp9M/fPjg6Og4b968iRMnksnkbg1dQ63xdfVdn7S+/0xfHbQj7Z6jPd2D3NXJ6rxbY/QC8QiMwWBERkb+/fffpaWlY8eOtbKyMjIyQoXUXWpra7Ozs1NTU2NjYxcsWLBixQo7OzsCgcdOFuwX1p+vL6JE1AKLjY318vJ69erV1KlTp06d2jNRdUV+fn58fHxSUpKbm9u6deu4zGnYGgmwL0EkiEhgCILEx8evW7fO1tZ27NixgwcPFt5YTCbz8+fPDx48IJPJJ0+eZJdZwLIANx837OKN0stpnE6nMxiMuLi4L1++fPz4seMgjUYzM/s3oQOJRLK1tR08eLCenl531/DSgSgE5u3t7eHhMWPGjHnz5gl2yuIOjUa7d++empra6dOnjYyMACDqUNSIuSMCVwX258UhO430xiuWVzwKPfi81tDp9Hfv3oWFhZ0/f97d3d3e3l5TU3PChAkA0MnnhCBIUVERAGRmZtbU1AQHB2dmZmpra7u6ujo5OZmYmPBcxksHwhVYXl7e7Nmzhw4dumLFClFKix0ajXblypWxY8eePHmyjd4WviN80JhB5u7mckQ5yalCJEb4SWrPYDBu3759/fp1U1NTFxeXCRMm9Gw6YjAYUVFRYWFhfn5+mzZtmj9/voWFhOb6FxTCEhiCIFu2bAkLC9u9e7e2tviDJBITE+/fv7994/aawzV2W+00h2oqqCtge+lRvKZ7zTw9U9tCO80nbaTrSPbNphQKZf/+/XQ6/fjx405OTr18LsIOhUJ58OCBn5/f6dOnFy9eLK0TmlAElpeXN27cuFWrVjk5OQm88x7DZDJv3bpVW1v7/PlzAf5QpICOheI953srXqxAD1IolE2bNpmamh4/flx4t08Igjx48ODEiRO7du1ydXWVvv8Xwd/l3717d8aMGWfOnJEodQGAjIzMunXrJk2aRCaTU1NTeZ/Qb0DLZAavCx7hOgIA0tLSrKysIiIi4uLi7t+/L1TnBIFAWLZsWVJSEgAYGxv7+PgIbyyxIMgZDEEQd3d3JpO5atUqGRkeOUDFSG1t7YEDBzZv3rxlyxZx2yJ+0BRajfTGik8V4/eNv592PyMj48aNG6J3+iEIcuzYsYCAgKCgIKlxOQpMYAiCTJ06dezYsZI2cXGEyWQeOnTIxcXl4MGD4rZFUoh4FuGx2+PPP/+cNWuWGM2gUqlr166dOHHi77//LgU3ZoIRGJ1ONzU13blzp4mJSe97Exm+vr7KysqXLl2Sgv/I3oBOHTExMYGBgRJyF3Tx4sWgoCAfHx8SiUMO/T6EAO7B+qi6AMDd3b2hoWHatGkIgojbFrFBp9OdnZ01NTVfvHghIeoCgF9++eX06dPTpk2jUCjitqVX9HYGYzAYZDK5L6qrA3Qeu3btmrgNEQN0Ot3CwiIgIMDe3l7ctnCATqdPnTr1ypUrkmkeP/RKYAiCTJkyZc6cOX1XXSj+/v5kMrm/3Y/R6fRp06Z5e3tL8tNeBEGcnZ1dXV1/+eUXcdvSE3q1RJw2bdrkyZP7uroAYOHChcHBwXfv3hW3IaIDnRxevnwpyeoCAAKBEBISEhQUdOjQIXHb0hN6LrBz587p6emNGTNGgNaIkX379h0+fDgvr18U+UbnroiIiD7hQkA1FhMT0xfvx3oosNTUVC8vr0WLFgnWGjEiIyOzf//+cePGSb3Dg8FgWFhYeHt79wl1oaAa279/f5/TWE/uwRgMxqhRo/bu3aumpiYMm8RIYmJiRkaGv7+/uA0RFgiCfPfddwcPHuyLbgM6nW5paZmamtqHLg09mcFWrVrl7u4ufeoCgDFjxjCZzKdPn4rbEGFx7NixiRMn9kV1AQCJRAoPD+9bj1W6LbDU1NSqqiqpufX6lmXLlm3fvr0P/RfyD4VCiY6O/v3338VtSM+xsLBYt27d9u3bxW0Iv3RviYggiIWFxZ49e6Ry+uogKiqqqanp0qVL4jZEkCAIMnr06JcvX/ah9VVXTJ8+/cCBA31iHu7eDHbp0iUnJyfpVhcAODk5hYWFUalUcRsiSLZv375r1y4pUBcA+Pj4uLm59YlVRjdmMARBTE1N//rrL0mOlBcUNBotJCREarwdVCrV1dU1JSWlN53s3Qt1deDsDB8+wJo1oK0NKSnw8SMoK0N7O0yfDjt2gKUlGBvD1atw/z6sWwdbtsCgQeDrC0ZGAAAuLvD776CrC0VFsGMH9GYjro+PT1VVleQ/fe7GDObj4zN37tz+oC4A0NbWTk5OlppJzNXVNSgoqJedODiAiQl89x1MmQL79wMA/PEHLFkCs2fDs2dQVQWbNsGXL6CoCI2NgMfDrFlgbQ1798Lw4TBkCAQHAwBMnAgVFbBvH/RyKl28eLGnpyeDwejlhxI2/AoMDbh2cHAQqjUSxfr163fs2CFuKwQAhUIxNTUV4A4rBQVoagIAqK//72BdHZiaQlYWZGfDsmVw9iygqaXq6mDoUNDXh8OHAQBwOBgyBJSVAYfrlQ0EAuHKlSunTp3qVS/Ch1+B+fr6Tpo0qZ9MXygmJibJycl0Ol3chvSWTZs2HT9+XCBdxcVBeDj4+AAatrlzJ9y7B8HBYGkJI0cCAMydC4qK4OYGcXFgagoAcPgwPHoEcXEQGQkAQKFAfDzU1grAGHt7+4CAAAmfxPi9BzMxMTl06JC4MkOJi8TERDU1tW3btonbkJ6TlpZ27Nix+/fv976rsDCgUmHDht73JDAoFEpERMS+ffvEbUiX8JsNj0gk9jd1AYCNjY2grv3i4saNG4J68PXmDbx/D21tAulMMNja2l6+fFmS3Yl8zWDogy8piJrvAbdu3Tp06JCEh5x3BYPBGD9+vHRn+Ll48eKQIUPEm+aAC3zNYJ6ensOHDxe2KZLJ+PHj+26qo6ioqPXr14vbCuGyZMmS06dPi9uKLuGdi4JKpVpYWAjPveHrOxwARoyoTk4mWVvTW1tlaDQlF5dcFgv37BlZR6exulp+xoyCkhJiXNxALa0mTc0WS8uK4mLinTumzs7U6moFVdXWsWPLhWSeiYnJ6tWr++hCcffu3XFxceK2QriQSCQajcZgMCQn3wE7vGew6OhoR0dH4VlgaVnBZOJsbOgAoKLSamtblpw8AABiYgYxGLI6Oo1FRcrV1QqKisjYsTQbG/rjx8YAoKfHaGvDmZtXjh9fRqEMEp55AGBlZdUXfYkMBqP3NQr7BL/99ltUVJS4reAMb4EFBgYOGybEFNM4HBCJCADIyLCUlf+7W21sJGhpNWlpNS9alE0kthYUqCQlkerr5fD49oYGWQCQk2PJybXj8e3tQi6Gam1tnZCQINwxhEBycvK8efPEbYUomDBhQlhYmLit4AxvgcXExAg1+DArSzMnR626Wr6gQDkjQ7OwUIVOVywsVJ4ypbCiQjEzUzMhYSAOBzSaIpGI1NbKKSgwExO1aTQlGk3h82f1zEzN8nKlmhp54VloYmISjIYh9CkiIiL6RI7K3kMmk/38/MRtBWd4eBHRLJBYBtw1a9bQaDRxW9E9rKyskpKS+knKx6VLl54/f14CQ5l5zGD19fXW1taiMUWSUVfvY8XEEAQhkUj9RF0A4OLi8vnzZ3FbwQEeAktKSuoPd8k80dfX71uBv0VFRRJ4ORcegwcPzs/PF7cVHOAhsISEBENDQ9GYIsmMGjWquLhY3FZ0g+LiYhcXF3FbITr09PQkM9EDD4GVlZWpqqqKxhRJhkgkZmdni9uKbpCfny/UQtjsbNmyJSUlpbm52cvL6+HDh109l0cQBL3h7yqy6d27d5GRkV5eXpmZmc3NzQcOHODfeUsmkyXzUQpvL2I/DEH8lr44jevp6YlmoCFDhlhZWb18+bKtrW3RokVnz56tZ9/H8v8EBQVZW1svXbo0MTGRYz+enp4TJ05ctmyZv7+/goLCokWLGhoa+Dfj5cuXPfwAwoTHTXBgYODq1atFYwqGAAkODkZrk/NDe3v7rVu39PT0oqOjDx8+3DPXyJw5c2pqavz8/GbOnKmiosKxzbt371paWrp6d/To0aNHj547d+7atWt7YIBk0l+8TL0nJCTkhx9+ELcV/ILrzn7G69evq6qqOjs7e3p6dlLX06dPc3Jy2I9YWVlNmjSJYz+KioomJiYhISFVVVWampqd3h0+fHh0dLSOjo6/vz/HMgA4HG7//v0XLlxAk8Dybz/K0qVLu3uKCOCxRBwwYIBo7JB82iRqnwYf8O9FpFAokydPbm5uVlZWLiwsZH9LXl5e+Wvk5OQ4dnL06NFPnz5ZWlricLiMjIxvG/j6+k6ZMsXCwuLFixffRt/U1NTU1tbOnz8/IiKikw19GmwG4xdhVIuXEFauXBkfH89gMNTV1XNycgwMDDremjx5MpPJZG/c1QLSyckpJSUlOTlZW1sbDV7ds2fPwoULbWxs0AZz5859/fp1fn7++vXr8Xg8AMybN+/hw4eysrIAoK6uLi8vHxgYqKKismzZMiF9UtHDQ2CVlZWisUPy6erKLbGg22T5aTlt2jT0xfLlyzu9RSAQ+Lwlc3Bw6JSyZc+ePeyuV1tb206n/Pbbb+y7NKQyYEgAFS77Cd/+PiQZUc63qampaWlp3x5PSkrivlG1paUFncq+pbm52c/Pr1vuFoGkRRA4PD6ApIVjl5WVhYaGurm5ycvLUygUOTk5BEE4hrQymUw8Ho/D4ZhMJsfNbNnZ2c3NzRUVFUOHDtXR0QkICBg9ejSXfaXf3rVLMqLMenvz5k2Ox3nucuISi6ygoNBHC4J1gvcM1mkJLl5aW1ttbGxUVFRSUlKYTKa9vf2TJ0+a0BxiX5OQkLBly5a///77y5cvHLsKCwszMzNzcnJChWpvb8+xH5Q+t1TW1NTsW6EnvcfS0lLcJnCAxwymra1dWVmp3UUKVgqF0tjY2NLS0tzcPGXKFFFe48eOHctgMGJiYkaNGqWoqMixzenTp9va2rp619jY2MPDY9y4cTNmzOA5HI1G6xOZ0DtAY/P6ls29gUqlmqF5GCUMHjPY+PHjCwoKOL7V3NxsZGSkq6vb2to6duxYJSUlAHj9+vWzZ8862rx+/bpb1rx79y74azgu7lHk5OQMDAzodDrHuAE9Pb2MjAwajdZV5A4Oh3N3d8/MzOQnAuD9+/ciC4wQCHp6en1xk2iPqa+vnzNnjrit4AAPgQ0bNqyrxI6ysrKKiopfvnwxNTVVU1ND71bxeDz7zo7x48dzPJfJZF6/fp1jnwpfg/pwv+XBgwfFxcVkMhmHw3G8BERHR1taWg4ePDg5OfnbO34Gg9HY2Dh+/PgjR45UVFRwHIKdxsZGfX19ns0kB319fY4Po6SVtLQ0ydxSxGOJqKen9/79e443o3Q6PTw8HAAKCwvLysrQp/uZmZlLliwBgIqKisTERE1NzXHjxgFAVVXV58+fGxsbLS0tZWRkgoODW1tbqVRqp3zOFhYWnR5BdpVsx9zcPC8vLzc3V01NDV0beHl52dvbDxkyBG1ga2ublpZGo9FmzpyJhjUcPXq0wy9MJBJlZWXfvHmjqKjIz7bfnJycvrW3ikAgpKenIwjSt8zuMQkJCR4eHuK2ggM8vn0ymdzVIk1XV3flypWdDlZXV2toaABAU1OTurp6S0sLerykpKSgoEBNTU1JSUlJSUlRUdHe3v7bbOkyMjJ8pq8yNTU1RVMz/z+LFy8uKSnp+PNbf+DChQvZncL87+aora0Vao0lbo4AACAASURBVNofIbFkyZKsrKw+mtGxu/j5+Z07d07cVnCAtxfR0dGxlr9U4o2NjUQisbq6GgAMDAzi4+NNTU1bWlpaWlqKiooWL17c3t6O+iTRuausrKy75uJwuHfv3nG86fry5Qv3+gZtbW1dRei1trbGxMR0pe0+mj1m5syZEptrSbBQqdQpU6aI2wrO8BbYvHnz+NwKxWQylZWVi4qK0D/l5ORSUlLk5eXl5OTq6+tTUlLU1dXRSGo9Pb137971ILrPwMBg7dq1HMOxzczMuEe4mpubd/WWnJzc999/31WD5OTkiRMndtdUsePk5BQYGChuK0RBXFycZHo4gJ/U2VQq1cPDoz9vWlm9erVkbubjiZWVVVxcnNQnfZg2bdr9+/clM0UC7xmMTCZnZmZK1ONmUZKfn79gwQJxW9FDdu3a1fu6exIOg8Gg0+mSqS7gMxZx4cKFkpmyRwS8e/duxYoV4raih7i6uv7555+C7JHJhDt3YN8+cHeHR48E2XNPuX37tiQnNudLYO7u7vHx8cI2RQJhMpnPnz/vu3U9iUSitra2IPNhnTgBI0bAoUNw+jS0tgqs217g6ekpyflV+RKYhYXFx48fm5ubhW2NpPH58+e+Xp3k4MGDu3fvFlh3gwfDjh1w/TooKYG7e7dPDwqC4GA4eRLS0wViDoVCWbhwoSTfZPL7FHL37t0JCQmSfKkQBuHh4Tdu3BC3Fb3C3t5+06ZNgik+UlAACxeCqys8egS2thAZCYPYym4kJ0OnpwIDBgD7BrPMTAgPh0uX4PVrUFLqrTEAALBp0yYJv8nkdz+Ym5vbnTt3+pWrg0ajqaurC7B2uLi4fPnyyZMne9tLWxv89BPIy4OyMqxcCZMnQ6fHhgQCKCt/9a9TmPWbN4A+r8/Phy4i4LoFhUIxMzOT8P8gfms0A8DevXubmpr6zyR25syZmzdvGhkZidsQAYCmVeutq23LFsjJARsb0NaGMWOgU6Bpe3vn8rJ4/FdCKimBR4/A0BD8/WHBAuj1s3srK6ugoCDpERiDwRg8ePCNGzeEV4xPcqDRaP/88090dLS4DREMaWlp27Zte/HihbgNERg+Pj5fvnyR5PLnKN1IGUAkEjdu3BgbGys8aySHS5cuXbx4UdxWCAwLCwsSifT8+XNxGyIYGAzGiRMnBFXcXah0YwYDAARBBg4cePnyZelO95uYmJiRkeHv7y9uQwQJg8EwNjbOycmRZJ8bn2zZsmXmzJkSW/icne4lvSEQCHfu3Lly5YqQrJEEmEzmpUuX/vnnH3EbImCIROKtW7ekIGnu8+fP6XR6n1AX9CCr1OzZs5lMpmSWihEIt27dOnv2rBRc5r9l1qxZ2traXW3x7hPQ6fTVq1ffvXtX3IbwS/eWiCh0Ot3e3v7o0aPSt1DMysp69uxZRESEtO5TRBBk9OjR3t7efXGfGIIgo0aNevLkiYR7DtnpSV5EEol069YtSQ4A6xm1tbU3btzw9/eXVnUBAIFAePny5fLly/vc/gAEQZydna9cudKH1AU9Tjzq4OAwe/Zs9vw2fR0mk3n69Olbt25JbFy2oCCRSC9fvrS0tOxbGnN2dnZ0dOxzebJ6skREQRBkypQpc+bMMTExEaxNYsHf359MJnOs+iGVoFF8qampfeKCcvDgQRwOJ/lPvb6l56mzCQRCSEjI33//nZWVJUCDxIKvr6+CgkL/URcA2Nvb+/v7S/48hiDI9OnT+6i6oJe56YlEYmZm5q1bt/hM2iGZREVFFRcXX7p0SdyGiBp7e/v4+Php06ZJbH139L7L0dGxj6oLel/8gUQixcTEHDx4sI9qLDExMTEx8eXLl1Ls2OCCgYGBt7e3nZ2dBPruqVSqgYHB9u3bf/31V3Hb0nN6fg/GDp1Od3R0XL16dd+6H/P19S0uLu636mKxWKWlpZqamgQCYeXKlSwWy8vLS0K+Ch8fn23btr1588bQ0LCgoEBfX19CDOsugilfhM5jfet+zNfXt6Wlpd+qCwBKS0tVVVUVFBQIBIKPj4+Li4uBgQGXXOWigcFgLF269OnTp0VFRWQyGY/HGxgYlJaW9tGtUoKZwVAYDIazs7Opqens2bMF1acwaG5uPn78uIuLS7/yanQCTV+JZontgE6nL126lEQi3bhxQ/SxLAiCPHjwYNu2bQEBAZ3c8c3NzXQ6XV9fv1u1pyUBQRbgIxKJr169IpFI+/fvl9j8Avn5+Rs3bjx8+HB/VldjY2NTU1MndcH/PyJbsWKFsbGxj49PV2UJhAGFQhk1atSXL1+Kioq+fdiloKCgoaFRWloqMnsEhcyBAwcE2B0ej58yZYqZmdmWLVsMDQ0l6hkLk8kMCQnx9/dPTEy0trYWtzliAy07qKen19VsMGzYsK1bt2ZkZMyePbuxsXHMmDHCK5+LIEh8fLyLi4uCgsLNmzenT5/eVc1LtNhic3NzV/WoJBOhlJB1cHCgUChv3rw5c+aMhHgX8/Pzd+7cOXz48L7yaFVIMJlMOp0+aNAg7mstAoGwbNmyoqKioUOHTpgwYcuWLRQKBUEQAVpCpVIPHTqkr68fERERFxe3b98+notSDQ2NpqamhoYGAZohbAR5D/YtsbGx8+fPX7VqlYODg7j2QTc3N1+5coXJZPr7+/dnaQEAi8XKz8/vgUcuLS3t8ePHAQEBbm5uU6dOtba27tkdGoIgWVlZUVFRnp6e2traBw8etLW17ZYxLBarqKiIRCL1lUBz4QoMABAEOX/+/NWrV+fOnStimTU3Nz99+jQhIeHGjRt9N7ehoOhwyvf4p9khj6CgIBqNNmnSJFtbWwsLCxUVla4CcNG0u3FxcVVVVYGBgenp6Zs2beqNRAGAyWSWlJQMGjSoT6SuELrAUBAE8fHxOXbs2KRJk6ZOnSrsy09+fv6jR4/Kyso8PT0xaaFUVFTIyMh869joGQiCFBUVZWZm5ubmxsXFAQCdTmevFWppaYnWbRs5ciS6ziQSiYJaQaCjGxoadnXDJjmISGAoCIKEhobu3LmTSCTOnj3bxsZGsBeh5ubmiIiIiIiIKVOmrFixApNWB7W1tW1tbVpaWiIYKycnx9jYWNijNDc3V1VVDRw4UMId9yIVWAd0Ot3Ly+v48eNWVlbW1tYmJiZd1VnnCZPJLCoqSk9PT0pKaqhv+Pvk35MnT5bK/cg9RsS/RdEIDACqq6uZTKZorho9RjwC64BOpyckJAQHBz969MjGxoZEIg0cOJBMJisqKqJBBp3a19bWtrS0VFZW0mi0nJyc0tLS2traBQsWODs7jzAYEbo2dMWLvlqoQUiIfjUlMoGBoNe9wkDMAmMHvSGOjY2l0WgxMTHowcrKSvR1R41JGRmZOXPmkEgkMzOzTg6xq1ZX18StkSUKIGusdCAWf4AoBdZ7z42wkSCB9Z63F98OtBloYG8gbkMkAnH9+EQpMABob2+X5GhgSbSpx5CdyO9vvO/rAkN3ZxUXF+fk5GlpaaK13nuQiKIjllfQBnIAXX0AQByFUlZaOn3mTBUVFQG6DbmARgP3bKKm0+kMBqO+vj45JRmPw6MhWiQSSYD38FI1gwHAqYGnPAo98ARJ996ygyDImzdv7t3zvXr10py5bkyEpW9orG9ARt+tr63JSE+SIeAS4mPc3BZ9/727jY0Nz18Ax1hewUKn08NDQm/fvFleWmpiPKy9tXXGaNuOd5M+ZVU1N1bU1mTlZP+0foOb+xKh5rHiPxo4LS3twUO/a9euDRs+TF1TXVlVyczKtOPd+Kg3BILcl09fdHV0t23fbmdr18trhLQJLOpQ1JCpQ/rKJBYTG7tv7/6ysnLHSbMmTXY2HsZjN11pSSEl+kVwkM/AgTrbd2yb08WuhcbGxpqamkHstYUEB4PBuHXjhufVa1pE5Z9c3CZYWBEVuAUHIkxm0qesoLiowJjIRQvctu/+TUhpoRoaGurq6rr61Hl5eX+dPBHgHzD1uylTZjqZWZrKELhNdzVV1ZlpHx94BdTV1G9Yv2HTpp97tgSVNoHR0mhZj7Oc9kl6CZjY2NgNP210nDRr3oKVGhoDunt6dXXlo4f/UKKfX7t2tdPjPuHt7EAQxM/n/vZtHodWb3S2s+euK45kUnN/On3c3Nrq5j93hPEoheO8TaVSd+7aWVRcsPnXTcbDh3S3z6ampuiI2Pu3HuzZ84f7EvfuykzaBNaOtJ8xOLO9dLu4DekSKpW6Y+cuBqNtw8+7Bw7q1UxbXV157uTepsba27dvGhmRQZhuw3ve3ts9PA79+NM8x8mE3nWekJm+89r5Re5Ldvy2S+AyKykpUVVVVVZWBrRGxF8n/B747ti71XJUrxaoTIR5x9Mr0O/JrVu358yew/+J0iYwAAjdEjpq7Shtix4+uRYqT589+/GH1dfvPO2ltNgpLSn869jOjT+tW758Wc9iebmDIMhy96Xq7bg9y1f3YNbi3CeTGRgTue/21bTMTME6QjqigUtLS23txu0+tHOC03jep/FHU1PTtbM31ZU1Lpy7yOeXLIUCK6QUln4oHffLOHEb0pl9+w+EhUWeuXBPRtAOZSaCHN7/P2trkz2/70Yv3oKCTqdPmei02cVt4aRpAuwWpaC87LudPwcEBtoLNKiNyWSGh4evXLXSO/Cmuqbg3Tz+9x69i33/8AFfmzP6kreNT3Stdd9ffy9uK74CQZDJU6aW0RrPX/ETuLoAQIZAOHD0cmV1m4uLqwC3Iaelpk5xcPxrzc/CUBcAGOrovvP0/mPrtgvnzgmw28OHDx84si/o1UNhqAsAFn6/4Pt1S8zMTfPy8ng2lsIZDAC8pnu5+bgpkQRTabuXIAgyfcbMufNXT3CYKuyxUpPf3fvn7MuXYb1fJdLpdAsTk+gLN7XU1AViW1cgTObi/bvcVi3fvGVL73s7cODAp7yszTs3cncS9p6aquqta3+NjorhPo9J4QwGAHYedjkvcsRtxb8cOnxk2IjRIlAXAFhajx1rO3Xz5q297IfBYFiYmob+fUnY6gIAgozMg4MnHnndo/S6eGpsbGzIi2ciUBcAqGtq7P1zt5m5KfeN3tIpML2xesm3k8VtBQCAl9e9sLDINeu3iWzEhe6ra+paz52/0OMeEARxnTX79q4Dhjq6AjSMCwQZmWvb92z4cU1v8njTaLT5C+afuHhUBOpCMR4+ZPehndNnTOfSRjoFpkRSYtAYbYw23k2FSWpq2tGjx89cuCficTdv3efr65+a2sMMh0f2HxhrMMTW1FywVnFHS03d+/dDFqY8JoSuYDAY5hZm3oE3RZwSZ4LT+GHmQ86cO9NVA+m8BwOAtxffagzRGDZrmBhtMDO3OHrilgA98vzT1NS4ae3c1NTk7t6MUanUOdNmRJ+/LiTDuOP/+mWzrub/tnl098R9+/cRVGDmHG6TifBYOX9NWEg4xwgV6ZzBAMB8iXmqd6oYDYiJjbW0Gi8WdQGAoqKSg9MsXz+/7p64a9t27z2HhWESP8xznHzs2NHuOkIZDMbDhw+mfTdFSFbxZMferTt37eT4loDzIkoOskTZkF9C7Lba4fBi2FKOIIjtONsTp+/IynLYnBYTpXDxvLIykRUfJ4/DAUm7ncWC58GKlRUyye/ldAcyv3yWPXZIzcqm7czfKkpKrPJymfv3lOzGtz70U6quwn94LzfSBImKlA8MUMqnEhrq8foGHNJKm5ha/bbz5w0b1vO/1ZISGxsX+mL5dM71xY95GT1/o4XDQVAsaah+E1GBmZ5LpKSpF9IUsouU9LVbfvccWlIpX9tAOHB7yJwJFf87N8JAuxkvg/MO062olftSrDRUv+nwHfLHfGJwHMl8CIOo0NlsPB4/XH/wk+jISVMm82kzAHy/4vvl690H6nG4Y8zLUTrw6wgFhfYvn4jZWcpDRzAAICZSs6hA8VOmcjsTh7Th9+0YaTS08WmgTnKimgG56e9Dw6xH1cVEDiikKiYlqBsZNxUVKJ79c4isLCsiRMtmbN23o+gM1Hlw7+HUydO+ja6W2hkMAMZsHFOcUCyWoX39/Oa5rVJU5PycwHZ8i7wcTHBome/WePKECgC8DFeQkYHx9i3j7Fo9L6uYW7apabQrEdvV1VmlpTJMBNasb3gRrtBQjx+kx8zPI1RWyNhNaP2YJbtwcaPN6FaOoygqKrkv33Th4mX+zf5p/YY/lq/p6l1b05rhBoypo6smWtWc8B4MAEe9jOZPpM8YW/XinWZNA2HN7JLcEkVFeVZziwweD9PHVlkYM47dHTxUv4ms2xz6dgAATLCoq6oj/LosX0uVs9nTx9o9vO/Lf0UlKpWamprSVSSUkXGjnDxz8oyK6bPo4c9I9HI5erlcfJSmvVPV9Fn0a+cH6wxssXeqqqDJ6ei20Mrk5ORYs13LW1rxL55rGRo1qaojsa81jYwbaWVyY+xqlqws6cqMXQd3/Lj6h2+PS7PATOabZDzIEMvQx48dX7biJ57N8DhoZ+IAoL4OJ0NgAQCBwKqtxQPAzO+a/7mpPGlK8/skubo6vJoai9GA09FhauswV61pUFZpx+FgkB4iQwB5+S7voqdNn3v82FE+bU5LSxsxUI8fz6G8LLOxBQ8ADY3/+evqGIQRhozPhUo5JYpuTuVXH+uNNGwEgIZGgtHApkGklt9XUAEAgEUe2ExUYHIJRf77py1PHj3m0+ybt27s2MvXYwlZOVZbG76R8Z/NDfUyADBjDj00WBuPBxkZ1usXA0bZ1jY34tXUER2d1gmO1RMcqwFggFabgkK7ErHLAhQD9XRb2pq/9YJKs8C0LbTFIjA6na6qNqCr6QslP1/mXYKc913ips31ADB7bnNZqUw8Rf5luMKGjfUAYDe+JTeHYGndNnx4m7p6OwDMcmkuL5dJ+SAXHamAw0HKB9mSYkJhPjeXtAyBMHW6K58FUyJfvFzj7Mq9zdsstVfvNfxfa+/+ngoAmxcWPozUDk0YYEpmDDdoBIDvbCsU5Zgu9hVvP6qOMGQAwO4V1KdxWm8zVWNT1QHgbabq2yzVukZurpfRI0yuX+fXy3Lt2jUzS1MuDZoYhJhIzaePdMbY1gzSbx48pMl4OCMmUjP0ifaKtcUAoKKKyMmzrEbXOc+l0crl8XjW4CFNI0wYb+PV38SpV1YSigoUi4sUUpJUuVuyeIXb/fudy6xJrRcRRSyBv+fOX2jHaXJ5stzaiju8T+3wnzUiMCY1+V1DbZ7H1v/xbGlhYvr86Gku4bwRSRqFNIUfnEVRgcFt384HIc94BvtRqdTd+3dt3f0Llza//mLy10VRVNVqamra53Ek+nU0+0FpnsEAwGyxWdZjUZcse/wo0GY0twju5PeylVW4CroovvxhI8xuXPfk2YxOp2sRlbkHyyd+VE35otzGFIXZP7m4+fJRdPPJk6BxE0ZzaVCYr1BVKf8pU5AB0F2hqKiIMFs7uUClXGB6tnpZASIVGIPBKC8v574+HGfXetmzWovULgJ7FBWVVNUG8IyQCA8J/cnFjXubXd/nn9mcLSsjCrMnWFhRXkfxbHbN09NmHLdCOQaDm2/cTx5hKqJ6EfaTxke+jmQ/IuUCwxPwRG1iI71RZCPS6XRLGzuRDccPDo4zeT5ZqqyoGGFIFok5fEFUUPQL5O3nyMzIlKhqRvaTJlRVVbIfkXKBAYCdh126X7rIhquvrzczHyWy4fhBRU09IyOTe5veB9oKHPNhw3m2mTNP4mqpPn36jP1P6RcY2Yn8KeiTyIZLSRVn+AhHVFTUKiuruLfBsViDtCSrtpOJ8TDuEy+VSmUyBVmyrPeoa6ox278ySfoFhib6FVngbzuTNXQoj+RQIsZoyPDKKh4Ce02J7WWmDYHDbOLwWKkT+mQ90RjDJ4qKih+zvrqaS7/AAGCE6whqFFU0Y719m6BEFIXPqltQKBQeLdpF4broFjPH8cilUVxcrG8oWQIDgMyvV+P9QmDmS8zfnHkjmrHGjbPl3Ujk6OrweBJYXlnJvYHoySvhEeampydx6gIAkvZXK+1+ITB0e1g7IqKLdGrKO9EMxCeNjAaesp/iOFE0xvBPdnmXgX8dxEeJ6LrJJ0yE6TjxqwQ+/UJgAGDiZiKawF9jYyMRjNItvnzJwsvw2FJAGjCgolYUkSX8gycQuOcAJpFIBIKcqMzhC1o5HQdffdX9RmCiCvzV09MrKqSKYKBuYWVpyb0BSVe3sblZNMbwycPQZ9wbEInEL5++iMYY/umUgq6/CEyUgb9FBULPt/MiLIgS89Lv/g0mHxvsM9Lfq6iocG9jZ2tbWlkhIOs4gzCZaOArwuwyJp29sbkJtxBelE4uO2HgfcOnks7vDWrel7wBmprsR/qLwADAbLEZLY0m7FHIZHLiu1h+fvc9ppHREE95Ze84jVZWEh8XybN95MtgfX197m0sR4+KTk4SkIGcCXlDmfjLmnUnDn3I5q2Kz4X5bvPn82z206YNOZ9zBWFdlzwJeLZywZoN3//8yw9bGxk8QoLexiXZWH8VZiBV9cG4gwb+iiCyfsOGjdS8bO6lUljt7U+C7mtrD/zw/s2Gjb92KxupElH5tz/+SkqMa25ptrLh4b3Iyc5yc1vEMzOHiYnJ7bDgnctWcW9W01AfGBOpRlSurK1d68JbAJ2IOOfZ2taqzDVQE+VZXMyyXbwzc3y/dPndB7d5lnTI+Zz7OSsbQZhq6qoTp3Yvi/Duw7/ajLFKSUpVVlFWInKznIkwI0Jf3f/nqzQN/UhgerZ6DxY+EEHhlcWL3S5c9uIusMBH94jKyuPtpzx+5NVJXZ8/pX9I+so5pqam8d3sryJxZWXlBg7Ul5eTp+Z+srAay2WgD0nx33/vztNmAoGwaIFbJjXXlMztx7rz8tnDazcpKyr+euUswFcCC3sbTy39yu9nZmTsYPlfJK6xnn58egpJXeNJbNRvy3/kbs/tsODDd3hvArCzs1u3fu2aTT9wacNEkHMnLp6/eTomklJTVcv+Vk11bdjTcPYjOMC5LnKRV5DvOGIzxqqqsqqosGT2vO+4G0PNzd+wYUOng/1oiYgn4M0Wm4kg8NfExCQw4B/ubVJS3o4eY9/S0qKoSCwv++p3KSNDUFRSYv/H/v8NAO8SYoIe3xukZ2g8zOTd2xjuAz194mNnx1fwsfuK5c/iePRWWVejqzng/eePo4ebFld8td6Wl5VVUlRk/yf3dT6SR1GvHK1GmZKHvP6Q2M51F2ImNXfRAjd+8mERCAQzM7OaqmoubcpKaXr6gwAgKy1rhOmwarbGOBx8bbKSohKHOequ5z3r0Ty8RADw+mX0zBmdRdiPZjAAMJ5pnO6XLuy6EAQCwc1tUWryO0vrLueW2XMWpaUmNjc1qSirFRVRdXT/Kxs3ZMhwA8OvfP14/FdBTMZDR2Z/zox+HZqZ/mH9xl+5WFJaUmhuYc5n5jZbOzu3+fM9liznEjPl6jApNjU56VMWHoevrqvT0/pvve1gacP8OhykUz/OdvaxqR8KaeWrnOfgudYue/42zn0tj8VqBz/88GOA72Muk5iewSA9Q7138Ym08orPWdkG5P9uR9XU1Zznds70JivX2fVfWlKuO1CHuxlMhBnzknL59LVOx6V8R3Mn2hhtNyfc/CmFd7aMXkKn0x0cJt31jRD2QNxZ6T41LOwZ/xUl7935h5H5RUilHvikoLxsxd+H0jL5dfkiCGJlbXnJ66x4963cvHxnou3k5d8v73S8Hy0RAUCWKCua7WEkEmmJ+6KwkEfCHogLqcnvLK0sulWvdcny7y888Wc0NwnNKN4c8b551bPzPMAFAoFw7arniX0nhWcST5qamgL9nrgv4XCv278EBgDWP1oXvxNFSMeuX3deOHNQqP56LjAR5NSJ3Xdu3+zWWQQC4bc/9lx+9EBIVvGkoLxMRk2lu+XCHBwcCvKKS4vLhGQVT/zu+N+6dZvjUrzfCcx4urFoAn+JROLve/bcuXVeBGN9y2P/u4uXLOxBgdYl7u5Pk94UlIvhx4owmcuP7j1x+lQPzn0a/PT4vr+YCO9H2AIn53NudASlq7qy/U5goqwLsfmXTdmfklKTRR37m5r87l1CxL69f/TgXAKB8Co66rudP4t+objp7J8bNv/crTVtB0ZGRs7TZ1/4+4qgjeJBTVX14d+Ov4583VWDficwABi1blRZsiiu0AQC4UV42J5da0tLCkUwHEp1deWeXWsfPvTtcQ0+EokUEBi48tg+fmKaBMX14McDhw/tTQ2+AwcOIM3tYU9fCNAq7jAR5sFdx6573uCSXq4/CozsRBZZXCKBQMjISP9t+4/V1aLYcMVEkBVLpiQkJPSysri9g8OCFd/vu31VUIZxJyEz/UVm8pkLvV1O3793/9WzqNT3Pazb1F0O7z62ccPPDlzvGPujwNDAX5FtDyORSDduXF2xZIqwNVZdXek6a/TjxwFGRuTe97Z5yxZdk+HrTx0V9jz24t2bX29cDHr+rPdlbwkEwsMH/ns89gtbY0yEeWDnYdvRE1YsX8G9ZX8UGACM2TimIku4wePsODg4ZGSkr3SfIrz7sdTkdx6/LImIeMn9gtotDhw94jR39pKDvwlpqxjCZP7t88/1yNAP6Wk98MdwhEQilRSX+tx4ePPyHYF0+C01VdWrF21YtmQFP5WJ+qnATOabiDjjr7Y2KS8v1+fuWX/fWwLvPCzk0b1/zkZHRVpaci4y0mM2b9ly5OzpBft+FbhfEa19rmBs+PJ1ZO/nLnYIBMKL8Be6Gnr/W7NN4H7FnM+5W9f++sDvIc+5C6V/RXJ00I60nzE4s710u4jHRRDk4MEjDx483PHbn1wCqfintKRw17YfrKwsfHy8BfszZYdOp09xmmQ/0mzP8tXc02vzA8JkBsZEXgh6+Oepk7PncPZuCwQvb69jx44uXb142ndTel+4uamp6cS+kwV5xa8jX/N/i9tPBQZiqguBQqVSd/76W0ND64afMcYvCAAAIABJREFUd/e4BGZpSeG1S8eJRNmTf5/omWu7u8TGxCxcsODHmS7c4xW5k5CZ/uOf+zdu3LRn/z7hXRE6YDAYJ/468fDhg21//K+rGmI8aWpq8rntR3kVf+2qZ3dX4P1XYIWUwtIPpcIO/OVCXh51jouLqqrm4qXrTcysNTQG8HNWU1Pjh6T4B/c96+qqrl29IsA7Ln5AEMTP1/fPI0ftTS1cJziNHmHCp9IyqbmUtBSvlyGTp0398+Tfgrrj4hMGg/HD6h/SUlNdFs6ynzSBYy3Mb2EizIzUzFdhURGhr06fPuO+xL0HV4T+KzCRBf5yh06nh4aG37p1q7S03MV12SD9wUZDhgOAtvZAGQKBiSA0WikA5OV+LinKDw7y0dXVmb9g3rKl7r10xPeStLS0AF+/q57XHKxHz7AZa6CtO3CAlpKCgpaaOgAwmpsqa2sB4G1Wel5J8e2w4EUL3NxXLLe2sRGxtNhhMBiRryOfPX8a4B8wb8lcfUM9SxsLAFDXVEMDhdFgK3o5vbSkLCQwrK6mfsGCBYsXLbGw6Pmdbf8VGAB4Tfdy83FTIvHeYCsCGAxGVFRURUVVZVVVXFxcezvr48fMkSNNcTiwt7cfoKk5YIDmpElOYvyBcoROp4eHhQHC/JKTk5WeDgAZnz6ZjRgBBILL7NmAx1vaWJuYmIhgNcg/CIIkJCTk5uWyWO1Pnz5jtiMfsz6NNBkBAGam5kOHGuPxMjNnzBTIJaxfCyz7eXZzTbPFMgF73jAwOuinbnoUvbF6ybeTxW0FhjQjQRO36OkI/EULREgH165da2trk5OTa2tr+/nnn8VtTpcwmcxr1641NTXl5eVpaWnt2bNHVlYWALy8vNTV1Y2MjDIzM3V1dSdOlLiUwyipqakBAQEHDx5E/+zya2f1bxIuJHx+9lncVrBYLFZ5efmMGTN62cmdO3d+/PFH9PXWrVufPHnSa7s4IBBTr169mpqair52cnL6448/Ol4rKChoaGisXbuWwWD0chR2QkJCdu/eLZCuEARxcnL65Zdf0D+5fO39eokIAOZLzHPChJ4nlB9iYmI0NDR62Ymnp2dHihsrK6vz54WyG00gpgYGBj5//hx9PWfOHD+/f7OdzZ8/v7Gxsaqq6vr160qcUtD0mGfPnhkaGgqkq3v37o0f/1/xFy5fe38XmBJJSZSBv1ygUCh8pn/iQkVFRYe/jkQiffoklMS3AjF19+7dzs7O6Gs8Hs/uZiwqKnr16lV1NbdcUT1AIGYDQG5urpqampaWVscRLl97fxcYAIzZOEZIdSEeP378559/Xrt2bfPmzTU1NQiCnD17duvWrR8+fEAbLFu2DACoVOq5c+fu379fWVnp5eXVmxHt7e3Ly8vR1x8+fCguLmbyFwufnp6+d+/eGzdubN68OTU1VQSmTpw40fL/M+YHBQWtWbOmw5KMjIyRI0d6eHhERHDLGsRkMk+dOnX58uVz587t3bsXAEpKSk6fPr1q1aqmpiYAKCgo2LVrFwDExsYeOXIkLy/v9evXkZG8cyFzJygoyNXVlf0Il6+9Xzs5UEzmm7y/8d7AvochS11x9uzZL1++XLx4EQBOnDjx559/WltbL168+OjRo4mJiTY2NhkZGV++fAEAMpn8448/Hjt27NChQ7hv8pndu3fv9evXHIcwNTX18Pgq/e3Ro0dXr17t7u7e1tZWWVlJJBJl+Ii0ePPmzc6dO8PDwxUVFRMSEtavX79161Zhm8p+lp6eXse7ly9fRr0dGzZsWLp0aV5e3rcDoSxcuPD7779fuHAhADg7O4eGhn78+NHDw8Pc3LyoqGjYsGHBwcEsFgsAHBwc6urqJk2atHXr1k6d1NTU7Nq1q72L+oO7du0aOnQo+5GHDx+iI7LD7WsXyD1fX+ek7knBdlhcXEwkEktLS9E///rrr6VLl9bV1bFYrOHDh5eXl7NYrDNnzuzZswdtEBwcvGDBAoEM3djYGBYWFhUV5eXlNWrUKH5OMTMz8/f3R1+/fft24MCBojGVxWJ9+vRp1apVbW1t6J80Gi0tLQ19XVJSAgBUKpXjiQ8fPjQ3N+/4c9asWdeuXaurq8vPz7e0tEQPurq6vnjxAn29ffv28+fP99La0tJSb29v9PXJkyc7nBysrr92bAYD+P+6EAIM/KVQKGZmZrq6/8a8BQcHL1++XEVFJSsra8iQIdra2gDw4sWLbdu2NTc3KygoRERETJ48GQDq6upUVVXZu/Lz84uNjeU4ysiRIzs54mtra+vr62fMmAEAf/zxh5ubG8cT2aHT6ZmZmd99912HqZMmTRKBqQBQWVl58eJFT09PAoEQFRXl5OTk6en5/v37gIAAAGhtbcXhcF15UyIjI2fNmoW+rquri42NPXXqlIqKire3N7qaRRCEQqHcv3+/w2x0TdvJ7Nra2n379nU1g3l4eAwZ8l8u8erqajqdfu7cOQB49uxZW1vb+fPn//e//3H72nupaemgILbg9cHXAuwwOjp6+vTp6OvQ0FBHR0cEQVgslre3t4eHB4vFqqioUFFRqauru3v3LovFcnBweP/+fWVl5e3bt3sz7pEjR9auXctiserr68eMGYNORNxpamrS1NRkMpksFqugoMDU1LSoqEgEpra0tGzatOnz58+FhYXp6em//fYbi8WKjY2Ni4tDG1y+fHn58uVdnX7o0KGjR4+ir3/77bcO//vatWuDgoJYLFZISMjYsWMbGhoePXrU0tKiqanZ3t4eGxsbHx/fG7M72LZt26ZNm9DXXL52GX52ZUo9KoNUwraGjdk4RlAdDh48mEqlpqSkJCcnf/r06erVq3JycgCgo6MTEhJSV1eXkZEhJydHo9HGjRunq6vb0tKSnZ398ePHH374gZ+7pq7Q19cvKCjIyckJDg4+efIkP9F0BAJh+PDh9+/fz8/PDw0NvXDhAlr7WNimenh4XLp06cKFC2fOnLl8+fKQIUPmz59vaGj45s2b8PDwd+/eFRQUnDp1SlaWcwzA6NGjg4KCiouLX716ZWBgsGPHDvS4hoZGeHh4WVlZc3NzUVFRaWnpkiVLlJSUCgoKaDRaa2srOs/0kosXLz58+DA3N7etrc3Ozo7L196vYxHZkajAXwypAXPT/4udh126X7q4rcCQNjCB/QvZifwpSOj1SDH6G5jA/gWN9xVNxl+M/gMmsP8Y4TqCGkUVtxUYUgUmsP8wX2IumroQGP0HTGD/gW4Pk4TAXwypARPYV5i4mQgp8Bejf4IJ7CtM5puIrC4ERn8AE9hXoHUhxG0FhvSACawzaOCvuK3AkBIwgXXGbLGZiOtCYEgxmMA6o2erl3glUdxW9FXSfNIKKaIr5yn5YALrDJ6AN1ts1khvFLchfY9GemP49nA9Wz1xGyJBYALjgPFMYyzwtwcELAtYEb4CT8B+VP+BfRccIDuR319/L24r+hhpPmkkU5JYykFJMpjAOCBLlCVqE7FVIv+gi8MZpwSwl1HKwATGGesfrYvfYSEd/BKyJQRbHHIE+0Y4YzzdGAv85ZPs59kAgC0OOYIJjDMddSHEbYik08Zoi9gdMff6XHEbIqFgAuuSUetGlSWXidsKSefJuidTj0+VpvI0ggUTWJeQnchYXCJ30MXhsFnDxG2I5IIJrEvQwF9se1hXtCPt2OKQJ5jAuDFm45iKrApxWyGhhG8Pt99ljy0OuYMJjBsm802wwF+O0NJo9Ew6Vt6aJ5jAuKFlooUF/n5LO9LuNcPLzYd34nsMTGDcQAN/se1hnUCDNrAsyPyACYwHZovNsFxu7NRQa7DFIf9gAuOBrrUuFvjbQTvS7uvq63LdRdyG9BkwgfEAC/xlJ/Fq4qh1o9TJ6uI2pM+ACYw3dh52OS9yxG2F+Kmh1ry//n7MTwIr8tQfwATGG72xesm3k8VthZhBF4fuQe5YyHy3wL4s3mCBvwCQ8SADWxz2AExgfDFq3aj+7EtE91Nii8MegAmML8yXmOeE9d/bMCzZRo/BvjK+UCIp9dvAXyzZRm/ABMYvYzaO6Yd1IbBkG70EExi/9M+6EFiyjV6CfXH80g/rQmDJNnoPJrBu0K8Cf7FkGwIBE1g36Fd1IbBkGwIBE1g30LPVywroFwLDkm0ICkxg3QBPwPeHwF8s2YYAwQTWPew87KS+LgSWbEOAYALrHmQn8qegT+K2QohgyTYECyaw7oFe16U18BdLtiFwMIF1mxGuI6Q18BdLtiFwMIF1G/Ml5lJZFwJLtiEMMIF1G3R7mJQF/mLJNoQEJrCeYOJmImWBv1iyDSGBCawnSFngL5ZsQ3hgAusJogz8bW9rTziXQDlBEVb/gki2kf0sm/IXhZ5JF6Bh/JDqnfr24lsRD9otMIH1EJEF/uZG5MqryVuusOzBueUp5UnXkri3EUiyjZS7KaPXjdYw0uhNJz0AL4NX1lHuTQ+JVxPLU8t7du7zX56zWCzubWQOHDjQs977OfKq8tnPs8lO5N53VfSmKPlOsjpZvbW+NScsB0/AZ/hl6I3TA4DagtqYozFKA5QGjRrUKbQiLyKvLLmM+opK1CbKq8in+aTlhOcYTDBI9UpVG6xGUCCUp5ZH7otU1VdVJ6vLKctxHLqR3ug338/Nxw2Hx3GxsK6wLu1+WkNZw4DhA+JPx+vb6YduCR3m/G+k4sfAjznhOVojtAYMH9BxCrOFmeaT9vHRR6QFyY/OH2gzsJPNCuoKn59+Tr6TPGTqkOzn2dAOX0K+MFuZKnoqLbUtH25+aK5urs6t1jTWLE4ofn/jfWNFY0liSU1ujZaJVscoiVcTLZdbyqnIAUDmw8y3F9/W5tfKKcsRSUQASPknpaG04WPgR307/fri+jSftIbyhgHDB7y98FbPVg8Acl/mxp+OHzB0gNZILfZvoLWhNflOMqOMkR+dP3DUwLrCuk7ntiPtqd6pOaE5agZqGkO4XVawGayH6NnqCaouhLyqfHNNM7Ag71WejJyM5jBNWaV/taRmqCarJGu3xa7Ts6nKz5UfAz+aLDAZ6jw08WpiQ1nD4ImDKz9XAsCn4E/yavIAoGOpg5fF226xVdbt8hqPJtugpdMSziWw/0v1TmVv1lLfoqqv2lTZVFtQW1dYh8PhdK10O97VGqllNNXIaKoR+ykMGkPH8v/aO/OwJq69j58EQiDIaiIgLuwQZVEQxLaWSr1wq7y3pYpeq7baTXvrS9X3VttX67V9fKtYfX1cKlRfxQ0BgStYQVpRRNFbQQgGMLIYMKwJhOyEZJLM+8fxyaUsUbMR6Pk8+WMmM+d3fnNmfnPOnDnzPW6YHPP7s1/ng04ZVzbEZwCAq68r9Jn1T5b9FPspIVMIVgQAwLXkaw5THQABEAgEAICts62ALZj+ynT/Jf5uoW6Dc5F0SSZ5PDs63zjfqE1RLr4utFk0AEDNmRoiiej3lp/dZLsn158oJArH6Y4DggGNStN2rw0m8XrDy9nLefbK2UOax8Wbi/3+7Oe/1L/jfodCrBielmhNdPVzDXw70Gexj+6TiwJMT+C8EEYZ+EubRRO3iZ1mOnVVd3nO95R0SAZfRqoBFZE09DR1PuicGTMTANBV1eXq5+rg6dBd0z3z9Zm4Bsc1uKRDAncjEAhAA0QckVqhfnju4a1/3GoubmacZsCtWrENojXRZpLN4B/J7ne1JW0WrbW01ftNb+ghjuODA55Xx6PRaUM8dJzu2FPfA2t4AVtgN9luiM8AAIepDpTJFACAUqq0dbHVHrhSpvSN9/WN8/Ve7A0AmBw4Wa1UO0x1oFApLr7/ri4UIoWdi520SwpX+U18WY/Me5G3uF0MAGi71+Yb5wsA6K7pdvZyps2itdxs8VrkxWVyabNpcB9eLc8txE3SKVENqAY7L+fLnWY4AQDE7WKbSTYjpu243zFt/jTBE4Huk4uaiPqD4zinnAPbcgbS86hHrVCL28VKqRLrx2YsnAH/12CalpstgX8JhKuNPzfy6nk0Os15hvPTsqcKsULAFsz7bB6BQMCkGJfJ7WvuU4gU8ELENXj7b+2yHtnUiKn9vf1kR3IXoyvys8jqk9We8zxVclV2Yvaa4jUEIoFCpUwJnuIW6qb9UYOosDLR0t/bL24T9/P7RU9FSqnS500fK5IV3FR/qT5gaYCtiy0AQNotvfM/d+B9nXGKQSAQelg9gf8R6OLjMtxnApHAucPRqDVCttBmkg3ZiQwva5VcJW4Xi9vFPXU91CCqQqzoqevR1hXaLDAZ1vmg026ynbOXM7+Rz8plcZncx/mP6Yl0KxurSW6TOis7+Q18Fy+Xma/PBACIWkVyvpz7kKtWqh3cHRw8HRQSBa+Oh8kw9znuAID8dflB7wQBANQKtbxPzv6VHfZ+mMNUhxHTCtgCeZ8cV+O6m4gAR+iLUqpMDU01nf2H5x+yS9iPCx4bxRrzArPxaiOO4+fjz6sxde6qXC6Ta6BNNaau+LHi1u5bI269lHTJQPsTANRE1B9TzwtBmUzh1fMCEgKMYq2jokPAFtScqVn49cInvz4BxhDbIFoTZTwZbIkNgfuQK+2Sattvf1gI+PP6GRE6qL1Ya+tsOy6+/M1ZkZN0KQkAgMmwU6+c+ujeR+iLLzOAajCD8P2T77gY+Du4PkFiG+bEeqwdGN9o54Ww8OvVLcxt/Z31AIltmB1UgxlK+Cfh3TXdY+3FC4HENswPCjBD8YrxGi8Df5HYhvlBAWYocOCv5X8ehsQ2xgQUYEZg3mfzelm9Y+2FLpDYxliBAswI0BPpFq74i8Q2xgoUYEaASqcaa+CvKUBiG2MICjAjAAf+Wua8EEhsY2xBAWYcZq+YbZlabkhsY2xBAWYc3Oe4V5+sHmsvhoLENsYcFGDGwdQDf/XAKGIbCANBg32NRlNR04BwwHL6Emov1sr75FGbosbakT806N5mNDwjPWvSa8bai2fAyctR43DMeaEAY5xilH5TqsEsfbACxPwSYtyH3KsbrmoH/potXx1AsQ3UOBxznn8ClBJl+2/t8z6bN1wZ4rloME3x5mK9HNMf80uI2U+xh5dy+Cfh+vUlGiIeNjytVmxDP4MII0IEAIjbxA/SHjRebQQA/Ot//4Xj+LXka3CzWqEu31eOa3B5n3xIyr7mvpozNY9yHj355QkAoPHnxhv/fQMAwGVyn5Y9BQBIu6Wlu0qxfkzvS2dEdHgLAHic/1jSKemq7rK2+92XOI/zH5fvK28qaqo6UdVU2NRU2HTn+zvaAYRNRU2Pch4xTjHUSjUAgFfLY55nMk4z4FRgqgFV9f9VVxyraCpsKt9XrpQqh7jEKedAFY3glcHM88yfP/n5QdqDpsImuPXh2YfN15rv/XAPV+O4GmdeYN47cA8AwDzPHBAOAADYJeyaMzW9rN7hAxr1SAsbh3EH44xQ1giDIQKdolxWZCvH6Y6ha0OnBP/udoir8eIvisM+CJuVNKv6VDUAwNXPta+5DwDQeLWR7EgGAExyn2TjYDNv4zwoFaT7EtfSXdNtdAkxHMcdPBzqsuqmRkx1n+Nec6bGf6l/f2+/pFMCAOA38qtPVjt4OqgUKqIVUYNpfvmvX0LXhtrT7Pv5/QAAGU/mEe7x9PZT/6X+A8KB4Z/Bc8o5M16bAQCg0CgtpS1vfv+mta2131t+YJh42Ij6aqOJh+mX9toX11Dj0HIgAr1EuaRcqbO3M4FAkHRKoIjfJI9Jts62AIDumm4KlQIjh1fLcwt1EzwR6L7Ef+eQCSTECAQCNYg6dd5Uezd77kPu3A/nAgCELUIoGNTL6vVf6j9t/rTIv0UCIhC1iaBOUEdlh8dcDxlP5jTDqedRT9j7YQAAfgOf7Egecl8Qt4uJVs8u6LC1YRU/VsxZN0fAFoBh4mEj6quNJh6mR1r4PSVqHFoOz2TbdIlyZdeHrnmm26yVDSM7kPkNfNWAin2d/dr210gUEq7BOeUcTIoJ2AJrO2u3EDcAAK+Wp5AobJ1tofosr44X8l5Ic1GzV4yXq79rVVrV3I/mDtGUNZGEWNu9NqdpTrRZtPqc+pD3QqzIVo1XG1UDKrdQN8dpjk1FTYAAOu53UFwpTjOdelm9mBxru9tmTbb2mOthZWP1+PJjeiKdZE9qLW3FNTisM7UqX+33261IVtQgqkquYv2T1f5b+9Oyp56RnpPcJg0XDxuurzZEPKz0m9LJAZPJjuSXTYvJsLz38lYVrLKysTLV9YJ4WXQoTnGZXHYJu+y7MqPoV7FvsB/lPsJx/Pr26wPCAY1Gk7c67+H5h0Yxjj9PQsycHHA/MCb55q7KbSxsHJOsEaOhS5ODQqPUXqyN+k/jvKn0jn32XLR432K48O6Fd41iGQIlxPzi/YxoUz/gwF8zt9OQ2IZlgkZyGJ+2u23sG+yYXTFmy1Gj0pyIOIGU2CwQ1NdkfDzne7LyzPr9JRLbsFhQgBkfojXRnAN/kdiGJYMCzCREb4muy64zQ0ZIbMPCQQFmErxivOAoEFODxDYsHBRgJgE+Dpl64C8S27B8UICZisC3A00qIoDENsYFKMBMRfDKYJPOC4HENsYFKMBMBfw8zESKv0hsY7yAAsyE0JfRO+53GN0sEtsYR6AzZELoiXRTzAtRf6keNQ7HCyjATAicF8K4NpHYxvgCBZhpMbriLxLbGF+g82RaZq+YbcR5IZDYxrgDBZhp8Zzvaax5IZDYxngEBZhpgfNCGGXgLxLbGI+gs2VyfON9DR/4i8Q2xikowEyOV4yXgfNCYDIMTV4+TkEBZnIMnxfiyidX3tz7JvqecjyCAswczFk/p6NSzyEdSGxjXIMCzBz4/slXv4G/GpUGNQ7HNSjAzIHe80IgsY3xDgowMxH+SXh3TfdLJUFiGxMAFGBmwivG66XGJSKxjYnBH1QX8VvCt2PtgoXyD/wfY+3ChOIPGmBjQtl3ZfRE+ou8LBa2Cn/+5Oe119eawSuESUFNRPNBT6S/yMBfJLYxkUABZj6odOqLDPxFYhsTCRRg5gMO/NX9eRgS25hgoAAzK7NXzNah5YbENiYe6ESaFfc57joG/iKxjYkHCjCzomPgLxLbmJCgADM30Vuin1x/Mvx/JLYxIUGn09x4RnrWpNcM+dMCxTZqa2u//PLLzMzMsXZkKO3t7V9++eXRo0fH2pEXwkwvmtPT04VCob29/aeffmqG7Azk5s2b3d3dISEhbW1tIpFo1apVxrWfFpZm9ZmVVC6FBdLf058amrqlbYtFVV95eXkUCmXx4sUkEonD4aSlpQUFBTU3N69fv97b23vEJGq1+qeffpLL5S0tLVQqdceOHSQSSaPRHDp0KDw83MnJicFgxMbGjpZcC5PJzMvL+/bbbwEA/f39KSkpPj4+3d3dERERixcvxnFcqVQmJyf/9NNPxj9so2OGeaD5fP78+fPPnTu3evVqA03t3Lnz6tWrRvFKB1999ZWzs7OtrW1cXFxTU5PR7V9PuR4WGKYtkNxVuVwmVz9TpiuQ3NzckpISHMcHBgbodHprayuO4729vVFRUaMlSUtLYzKZcDkmJmbnzp04jkulUhcXF2tr6+nTpx88ePC5+apUqpiYmE2bNsHVdevWnT17Fi4vWLCAy31WUBs3btT/2MyIOW6Zt2/fnjt37tq1ay9cuGCgqfz8fF9fX6N4pQN3d3eBQNDf3//LL7/4+Rl/VnW+O3+q9dTVq1ZfuHDBQLENMxTI7du3hULhzJkzAQCTJ0/mcrl3794dzZmioiK4nJCQkJ2dDZd/+OEHpVLJ4XC2bt363OwyMjIWLFgAl+Vy+fnz56Ojo+FqQEDAyZMnDTwcM2NthjzKysrCw8MNtyMUCjs7OwMDAw039VxEIlFVVZWvry+8sIzLb4zfKK2Uusw6WY+s4ljF32r/pp8d8xRIb2+vtfW/rxMajdbQ0PDqq68O3/Prr792dn72joFIJA5OVVdXJxKJIiMjyWSyjrzYbLaTkxOVSpVKpQAAoVCoVqu1dmDWhh+ROdG/Brt48eL3339/+vRpuLpu3TqFQsHj8fz9/RUKBfwTw7Djx49nZWU9efIkLy9vuBG1Wn3w4MHjx48fPnz4m2++AQCUl5enpaUlJyfDHYqKimC9l5WVtWXLFh8fnyNHjjQ1Nent9osglUoLCgpmzZqVkZGxf/9+7fG+9tprOlK9YIHsWL/jYsZFmzk2R3ccvX/k/pJjSwZ/T2mBBTJ//nyRSKRSqaD/9fX1HA5nxD1ff/310NBQuFxQUPDRRx8BAIhEYmFhoUqlolKpy5Yta29v15FXQUHB22+/rV318PDw8fHhcrlwlcFgjJa1xaJnDcZms+3t7f39/fPz8z/88MPW1tZ79+6RyeQpU6b4+/srlUp4oyKRSJ9++un27dt3795ta2s73M7y5ctXr169fPlyAMBbb7117dq1xsbG9957b8+ePUeOHAEApKenr1+/HgDw17/+tbq6es2aNV988cXLeisUCrdv367RjDyT0Pbt24e0A7dt20YikQAA8GEsMTHR398/OjqaQCAYXiBbd249dPHQQmxhX0+fywKXAeFAxbGKgIQA+H7ZdAVSWVl54sSJETeRyeTDhw9bWVmNuNXHx2fXrl0pKSmbN2/Oy8sLCgpydHTUnVdGRoanp+eWLVsAAHZ2dtnZ2bA8X3311R07dpw9e3bEVDk5OfDAB3Pq1KmjR48GBwffv3/f0dERxvl4Qr9HN7FYjOP4+vXr8/PzcRw/efKk9qFz//79g/dkMpkhISEjGsnJyQkODtauLlmyJC0tTSaTnTt3Ljk5GcdxtVrt7u4ulUrhDhEREdpnaBzHJRIJjuMajUYoFMJ/RCKRfoczGKVSeefOHe1qQEDAmTNnnpvqZQtExpNdWn6p4UqDoEUg48ngJgMLRCwWazQaDMMUCoVeh/47tJ0ckIaGhtzcXB6P5+fnd+XKFR0JGxoaPvjgAwzD4Gp9fX13dzdcvnjxopeX14ipurq6LlzQr/glAAAE20lEQVS4AJcPHDig7eTAcZzL5V6+fJnFYn388cdbt26Ff46XTg49azAHBweNRnPr1i3YVVpaWrp06VIAgFqtHnKbZzAYc+fOHdFIaWnpkiVL4LJYLC4vLz948CCFQrl69Sp8Gq6qqvLz87O3tx8YGJDL5W1tbfD6k8lkPB6vpKSkrKwsMTERw7CqqqpXXnkFw7DOzk544xyMSCTatWvXaDUYbGhpVysqKpYtW9bZ2Qnv6EqlkkqlGr1AKDRKUk6SEQuku7v7xo0bhYWFGzZsePToUXx8vLa1Bqmurk5PTx/ReRsbm/37949WgwEAWCxWYGBgQECATCaTyWRvvPHGaHvy+fxjx46dOHHC2tq6rKwsJiZm8+bNCQkJsImrozAFAkFPT8/hw4cBAIWFhRiGHTlyJDk5mcPhuLq6vvPOO9CNlJSU0bK2TPTv5ODz+fb29vBFx927d2EJXr9+/S9/+Z0E0vAAy8rKiomJ8fDwcHd3157UvXv3fv7550FBQQCA6upqOp0OAMjLy1uwYEF5ebmnpyebzYaNtJMnT65cuZJEIs2ZM6ekpGT58uUPHjzIyck5cOBASUkJizXCB1dOTk7wzL0IISEhe/bsgY6xWCwSiRQbGwsAaG1trampgWfaAguETCbPmzevoaFh6dKlEomkoKBgSICFh4fr19Wk0WiioqJqa2u9vLxSU1O3bdvm4OAAALhz546jo2NYWJh2T6VSuWvXrs2bN/N4PJFIVFxcHBMTs2LFiqSkZ7eSoqKijRs3wuXs7OzY2FgajQZX6XQ6PEYAAIfDGRgYgAX48ccfv//++2vWrKmsrKTRaCN2rlgyVrt379Yvpb29PYfDaWlpqampSUhIKCkpga+SIyMjB++2b9++devWTZs2TfvPypUrg4KCgoKCIiIiCgoKOjo6bt68OX369L///e9wBxzHGQxGfX29o6NjU1MTgUCIj4+n0WhlZWVcLjcsLMzX19fJySkjIyMuLs7f3z8rK2vRokVBQUFHjhxZtmyZRCJ5kTpnNMhkMoZhmZmZTCazsLAwNTUVXgRXrlzZtGnTtm3bLLZALl26FB4eHhgYeODAgXfffdfA/k8Wi2Vra+vj40MgEFxcXJqbmx88eEAmkzdt2gR32LNnz+XLl1evXq1NsmXLlh9//PHo0aOHDh06fvy4j49PYmJicHDwqVOnKisri4uL6XT6hg0b4M5JSUlqtXrhwoVD8j127FhOTg6bzcYwLDo6esqUKa2trSwWq7Ky8vDhw9oexcLCwoSEBEMO0EyYtAGqVqsDAwPVarUpjG/cuBE+hn3++ed9fX04jn/11VenT59uaGgwRXY4jmdkZBhowaQFkpSUlJKSkp6efvr0acOtDXkGG5GsrCxDsjAk+QR/BnsubW1tsbGxmZmZcXFxRKJJXmenpqbChWPHjsGFvXv3miIjLT09PXqnNUOB9PT06KhgTQGGvbTSoxaBQACbmhMbU43koFKp8fHxxcXF3333nYmyMDMtLS0RERF6Jzd1gWRmZkqlUh7PmLNpqtXq0XqGAABlZWWLFi3S2/ivv/4aHx+vX1rYBNA7a3OCVKUmCHK5XKPR2Nra6ugMfCkYDMaJEyeioqLgazfLgcPh7N2719vb28zVtX6gAEMgTIgFfR+BQEw8/h+3qlJDKXjSwQAAAABJRU5ErkJggg=="
-    }
-   },
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "![wf_9.png](attachment:wf_9.png)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/tutorial/test_notebooks.py b/tutorial/test_notebooks.py
deleted file mode 100644
index a051b63f1c..0000000000
--- a/tutorial/test_notebooks.py
+++ /dev/null
@@ -1,54 +0,0 @@
-from glob import glob
-import sys, os, time
-import pytest, pdb
-
-import nbformat
-from nbconvert.preprocessors import ExecutePreprocessor
-from nbconvert.preprocessors.execute import CellExecutionError
-
-
-def _notebook_run(path):
-    """
-    Execute a notebook via nbconvert and collect output.
-    :returns (parsed nb object, execution errors)
-    """
-    kernel_name = "python%d" % sys.version_info[0]
-    this_file_directory = os.path.dirname(__file__)
-    errors = []
-
-    with open(path) as f:
-        nb = nbformat.read(f, as_version=4)
-        nb.metadata.get("kernelspec", {})["name"] = kernel_name
-        ep = ExecutePreprocessor(
-            kernel_name=kernel_name, timeout=7200
-        )  # , allow_errors=True
-
-        try:
-            ep.preprocess(nb, {"metadata": {"path": this_file_directory}})
-
-        except CellExecutionError as e:
-            if "SKIP" in e.traceback:
-                print(str(e.traceback).split("\n")[-2])
-            else:
-                raise e
-
-    return nb, errors
-
-
-Dir_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "notebooks")
-
-
-@pytest.mark.parametrize(
-    "notebook",
-    [
-        os.path.join(Dir_path, "intro_functiontask.ipynb"),
-        os.path.join(Dir_path, "intro_task_state.ipynb"),
-        os.path.join(Dir_path, "intro_shelltask.ipynb"),
-        os.path.join(Dir_path, "intro_workflow.ipynb"),
-    ],
-)
-def test_notebooks(notebook):
-    t0 = time.time()
-    nb, errors = _notebook_run(notebook)
-    print("time", time.time() - t0)
-    assert errors == []

From cfcc5871d891119bf7a2772c347c9d50d6fbd650 Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Thu, 21 May 2020 16:03:27 -0400
Subject: [PATCH 2/9] adding mark.flaky to additional dask tests

---
 pydra/engine/tests/test_node_task.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/pydra/engine/tests/test_node_task.py b/pydra/engine/tests/test_node_task.py
index f8a9479853..0bcb49048c 100644
--- a/pydra/engine/tests/test_node_task.py
+++ b/pydra/engine/tests/test_node_task.py
@@ -991,6 +991,7 @@ def test_task_state_6a(plugin):
         assert odir.exists()
 
 
+@pytest.mark.flaky(reruns=2)  # when dask
 def test_task_state_comb_1(plugin_dask_opt):
     """ task with the simplest splitter and combiner"""
     nn = fun_addtwo(name="NA").split(a=[3, 5], splitter="a").combine(combiner="a")
@@ -1279,6 +1280,7 @@ def test_task_state_comb_order():
 # Testing caching for tasks with states
 
 
+@pytest.mark.flaky(reruns=2)  # when dask
 def test_task_state_cachedir(plugin_dask_opt, tmpdir):
     """ task with a state and provided cache_dir using pytest tmpdir"""
     cache_dir = tmpdir.mkdir("test_task_nostate")

From 358792afbf83502f9735ea1e9222f85264e28fe7 Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Thu, 21 May 2020 17:51:34 -0400
Subject: [PATCH 3/9] adding mark.flaky to test_slurm_max_jobs

---
 pydra/engine/tests/test_submitter.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/pydra/engine/tests/test_submitter.py b/pydra/engine/tests/test_submitter.py
index d87b405bda..9ac0559d02 100644
--- a/pydra/engine/tests/test_submitter.py
+++ b/pydra/engine/tests/test_submitter.py
@@ -196,6 +196,7 @@ def test_slurm_wf_state(tmpdir):
 
 
 @pytest.mark.skipif(not slurm_available, reason="slurm not installed")
+@pytest.mark.flaky(reruns=2)
 def test_slurm_max_jobs(tmpdir):
     wf = Workflow("new_wf", input_spec=["x", "y"], cache_dir=tmpdir)
     wf.inputs.x = 5

From 2ef73f0ee895d4954a9a619169f5af518a5f0d2a Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Thu, 21 May 2020 22:41:59 -0400
Subject: [PATCH 4/9] removing jupyter from the requirements

---
 setup.cfg | 27 +++------------------------
 1 file changed, 3 insertions(+), 24 deletions(-)

diff --git a/setup.cfg b/setup.cfg
index 838313301f..37f1c2874b 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -37,11 +37,7 @@ test_requires =
     codecov
     numpy
     psutil
-    tornado==4.5.3
-    nbformat
-    notebook==5.7.8
-    jupyter
-    jupyter_contrib_nbextensions
+    tornado
     boutiques
 packages = find:
 include_package_data = True
@@ -72,11 +68,7 @@ test =
     numpy
     pyld
     psutil
-    tornado==4.5.3
-    nbformat
-    notebook==5.7.8
-    jupyter
-    jupyter_contrib_nbextensions
+    tornado
     boutiques
 tests =
     %(test)s
@@ -85,20 +77,7 @@ dev =
     black
     pre-commit
 dask =
-    pytest >= 4.4.0
-    pytest-cov
-    pytest-env
-    pytest-xdist
-    pytest-rerunfailures
-    codecov
-    numpy
-    pyld
-    psutil
-    tornado
-    nbformat
-    notebook
-    jupyter
-    jupyter_contrib_nbextensions
+    %(test)s
     dask
     distributed
 all =

From 0eb0915d5a858703ee58f202a965e013848670c4 Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Thu, 21 May 2020 23:37:55 -0400
Subject: [PATCH 5/9] fixing requirements

---
 setup.cfg | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/setup.cfg b/setup.cfg
index 37f1c2874b..9022db55f9 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -37,6 +37,7 @@ test_requires =
     codecov
     numpy
     psutil
+    dateutil
     tornado
     boutiques
 packages = find:
@@ -68,6 +69,7 @@ test =
     numpy
     pyld
     psutil
+    dateutil
     tornado
     boutiques
 tests =

From cefb0c851030cf54bf727091dffdf9a37879bcf8 Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Fri, 22 May 2020 00:35:38 -0400
Subject: [PATCH 6/9] fixing requirements

---
 setup.cfg | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/setup.cfg b/setup.cfg
index 9022db55f9..d7dea4e0d6 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -37,7 +37,7 @@ test_requires =
     codecov
     numpy
     psutil
-    dateutil
+    python-dateutil
     tornado
     boutiques
 packages = find:
@@ -69,7 +69,7 @@ test =
     numpy
     pyld
     psutil
-    dateutil
+    python-dateutil
     tornado
     boutiques
 tests =

From d576c67f09e48847f059eefacafde0bcfea9e14d Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Sat, 23 May 2020 15:52:20 -0400
Subject: [PATCH 7/9] adding tutorial/Readme to point people to a new repo

---
 tutorial/README.md | 5 +++++
 1 file changed, 5 insertions(+)
 create mode 100644 tutorial/README.md

diff --git a/tutorial/README.md b/tutorial/README.md
new file mode 100644
index 0000000000..f05fbab0d6
--- /dev/null
+++ b/tutorial/README.md
@@ -0,0 +1,5 @@
+# Pydra Tutorial
+
+Python Tutorial has been moved to a separate [GitHub repository](https://github.com/nipype/pydra-tutorial).
+
+The tutorial could be run with [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master)

From 436e70edaaacf5bcc808f1efb539472a9234a7ee Mon Sep 17 00:00:00 2001
From: Dorota Jarecka <djarecka@gmail.com>
Date: Sat, 23 May 2020 16:05:31 -0400
Subject: [PATCH 8/9] updating README

---
 README.md          | 5 +++--
 tutorial/README.md | 2 +-
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 17b5c8cce0..1332f72c06 100644
--- a/README.md
+++ b/README.md
@@ -21,8 +21,9 @@ and Dask (this is an experimental implementation with limited testing)
 [[PyCon 2020 Poster](https://docs.google.com/presentation/d/10tS2I34rS0G9qz6v29qVd77OUydjP_FdBklrgAGmYSw/edit?usp=sharing)]
 
 ### Tutorial
-This tutorial will walk you through the main concepts of Pydra!
-[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra/master?filepath=tutorial%2Fnotebooks)
+Pydra Tutorial can be find in [pydra-tutorial repository](https://github.com/nipype/pydra-tutorial).
+
+The tutorial can be run locally or using Binder service: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master?filepath=notebooks)
 
 Please note that mybinder times out after an hour.
 
diff --git a/tutorial/README.md b/tutorial/README.md
index f05fbab0d6..412b776912 100644
--- a/tutorial/README.md
+++ b/tutorial/README.md
@@ -2,4 +2,4 @@
 
 Python Tutorial has been moved to a separate [GitHub repository](https://github.com/nipype/pydra-tutorial).
 
-The tutorial could be run with [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master)
+The tutorial could be run with [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master?filepath=notebooks)

From 8093f8bf34cd96292d00974499582e53f45eba6f Mon Sep 17 00:00:00 2001
From: Satrajit Ghosh <satrajit.ghosh@gmail.com>
Date: Sun, 24 May 2020 09:30:49 -0400
Subject: [PATCH 9/9] Update tutorial/README.md

---
 tutorial/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tutorial/README.md b/tutorial/README.md
index 412b776912..4df55ac5a0 100644
--- a/tutorial/README.md
+++ b/tutorial/README.md
@@ -2,4 +2,4 @@
 
 Python Tutorial has been moved to a separate [GitHub repository](https://github.com/nipype/pydra-tutorial).
 
-The tutorial could be run with [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master?filepath=notebooks)
+The interactive tutorial is available at  [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/nipype/pydra-tutorial/master?filepath=notebooks)