From f79df4b9c1ad8403be6d6f1aa8ed9fa58a56abfa Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Ricardo=20Montan=CC=83ana?= <rmontanana@gmail.com>
Date: Sat, 5 Feb 2022 11:41:45 +0100
Subject: [PATCH] Prepare pseudo random forest experiments

---
 experiments/experiments.txt  |  28 ++++++++++++++++++++++++++--
 experiments/hyperparams.xlsx | Bin 16471 -> 16485 bytes
 2 files changed, 26 insertions(+), 2 deletions(-)

diff --git a/experiments/experiments.txt b/experiments/experiments.txt
index dab79c5..7b03390 100644
--- a/experiments/experiments.txt
+++ b/experiments/experiments.txt
@@ -11,5 +11,29 @@
 #ODTE_accuracy_slurm_0202_4.sh, ODTE&ODTE Random Forest linear-random&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
 #ODTE_accuracy_slurm_0202_5.sh, ODTE&ODTE Random Forest rbf-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
 #ODTE_accuracy_slurm_0202_6.sh, ODTE&ODTE Random Forest linear-trandom&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
-
-
+# Pseudo Random Forest
+ODTE&ODTE pseudo Random Forest rbf-best max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt" "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest linear-best max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest rbf-random max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest linear-random max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest rbf-trandom max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest linear-trandom max_features-sqrt&{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest rbf-best max_samples-0.75&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest linear-best max_samples-0.75&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"best\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest rbf-random max_samples-0.75&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest linear-random max_samples-0.75&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"random\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest rbf-trandom max_samples-0.75&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"rbf\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
+ODTE&ODTE pseudo Random Forest linear-trandom max_samples-0.75&{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"linear\", \"splitter\": \"trandom\", \"max_features\": \"sqrt\"}"}
+# kernel liblinear Random Forest and pseudo Random Forest
+# RF
+ODTE&ODTE Random Forest liblinear-best max_features-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"best\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-random max_features-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"random\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-trandom max_features-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'											
+# pseudo RF
+ODTE&ODTE Random Forest liblinear-best max_samples-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-random max_samples-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-trandom max_samples-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_samples": 0.75, "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-best max_features-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-random max_features-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'											
+ODTE&ODTE Random Forest liblinear-trandom max_features-sqrt&'{"n_jobs": 10, "n_estimators": 100, "max_features": "sqrt", "be_hyperparams":  "{\"kernel\": \"liblinear\", \"splitter\": \"trandom\", \"multiclass_strategy\": \"ovr\"}"}'
+	
\ No newline at end of file
diff --git a/experiments/hyperparams.xlsx b/experiments/hyperparams.xlsx
index d2c11b4d35ec5d0e899bc73f361b62f8d4cd54f3..18b95b15f51889160873af36c64259b7a7e542e1 100644
GIT binary patch
delta 4446
zcmZ8lXEYp)($+;^U81h`>LOUZm*^HzgG30sdT+1I5+zEsT_t+ALDa<((d$Nt8fBxz
zB6@=8!k7EqANRg@=A1b*^JC^YXXeK<GZ#s?5lPqpq9A$f_T>nvNWlqr@F`OSz`Cby
z$On{Kj3Y^A0-1@ntlUFtKsZ$^TKPedr(fO(TDIK6hE4QvWA2%_&Wnad6^^1D1?Qp{
z%QKlL11`fl(k)nuR`D<ErK@B8GdHax`3YV@i6GKi?f%MB>D|50Zbdf=4pbLyOly-w
zk(GIi73N+s;Oy*ol}qphh%K?GDA1$&sSr1K&OkS*&c$e!*<XqlY#iq7L(dyV9cNP;
zI?j-OChIZ7qTQ4zQoNG+VV|s7QH`vw@~F|Lz<x$tT`X*H7ERbvtC%{@eGj<ZM1+wW
zz<?ND5MEQn4RHp)tcb34FEpG?$W$bRGz-91)q3O8LV)ueL-193emecrfgswmcP>9Q
zta`abLrMA0>nHE%jY0%ouEGFgD**xf=xOHq`F*SREM7Rt<}W$bo;9Tf22^!6QZ2*x
znLJLtHBY_19#dLT2*%8Bc}jj4g))2UTp5U~j}R-fk!fsQE;7VO)i5DxEIlRekt%+@
zIKkvf&mWsd_Q7jCPCLING@PQkdaNN(uF2;iI+oCrrrgD?$K>ODw!{>RJ*;Coy%P*O
zn3+CZ&*=x)ppw9?WV>xA=rwugls!4222-mM=5x0$$(>Qi#Cj%zMY-rN*0gN)OA=cm
zai$Jl)j25Jl3e@ik>7^O2@j#0POoCT*Ic5q6{Pd~Cg3OiGOw2oLo;p&+*|+~FHft#
zQmAX0deJq(8Upp@`YC(OJ||h<lMFrc3%oUye)oHVcDL*x3mtSO!mQE^3i%*Ba1Zp;
z-ghUAjp1|jw?(n#L(NPJT+nc++L<JtPT)RS2Z128?ws-Qguo{VtNmDjdv{FCCv>|~
zh@fAt;xgPtH-CYj$Apc)%hYutG|su7t`i7JvEgwKuaSE0hfaIlYgT9agwYR&NMF`0
zWUVAvz6UpE*=Bz%zjNAJhrMagGO6JZ(G4M!;h(2zA;rB-GRff@_}I(1_HBXfRbljW
zI$dE*o%Eq@o%9)l+{rK$G1O)9uFJUe7H=dg%Lu2L%W$<duVO)Lruw!!pe>D*z@>g%
z1{<6U^F;%pBut&JT~Z!u?hW{@D!f1>UrXt4Ruy$3W)JFBLraa*!t%^!wOV#H<?wo#
z1@B<B_C=FD^UFF&*{=35?Ci9N+Nb9#krSG~#08bV^>1%eo;u}q_`333SFigdIFDxO
z9vMvu@Rgey5=g;}-le`Gp)jH(cSR8r5KJO}&~v~o483vp0ZXh~obk3U8+P7lGCF+1
zNdyWSXb=R-kKT~XFJbH#N{epJ9@RHk^m2%|^V?K8`Zo6JWGQL#*{i4wG);tkoqF-U
zef{2i4}R_yU6BUB5NEhA25NZtvg7o3M{c}MxJOl#IQrJya>i>?&rUHFBo$4i>u=C+
zlMbg7`g@VLX>xYM{iN!Fxh<d|DT}@BJsEv%cw#7=NW!PMR=-6Sa~3q{<*>0%5;6SL
z%yg0%(lYt6l)3>Re8C=uI=f4e2jni-#Xq7`t0dCxddKYirvL9>9|{;$QV9JLQ>NGy
zNU<J+yAm!i%La1r(6BZa%$1uzd9G?Y77JHn7-!k&?!4j1wDhU(X5k%#D9Cr4LQDJz
zcFKpoQr}(ZUDG_?FD_V5O7}_HefUEfrqDx{kXm58`^_jt{+h~oT_}jGBkD*h5JmXb
zEm!!H_E_~a0%EKm>-ROAF}P#hDiRlaaY!SiKvuqO*m1K7l7<}BPo=yE``*$xiSPz<
zS@o_ni>ilH+LsP58~>=wlA9a6viBk^4Eb$jxoz0m{r{6|W0Yo~EHr2ypQ9uoD3V5+
zaNb4I3X;Jye0&z~1BO;i7enH&3;9hn7kMG16`siID!a4qEq)RM?hJ0N!VS<Bn41>D
zpupx4g*@)(^?|}l?DklfNT(avZX{gyEjI(5yM(lvkLx;aZgvY1y4axTT=C9Hm$n!?
zc5)RmUGT{CJ;8l026q*{SgA4oJ2H~R&la<3X3pWp5|)G1-m`)e$wXNSW|m}TY?T^=
z+Qum{3HSQa!X)Iy1XirTd3@R$SnA8USV*8@%{jn+aAvyouAi-JyiJn%o9JkU`Zc6!
zo}EamMB{;qG27WG<rDfYJSbTSo>|3UuP+{e=Tndmf8lUr>C1e7Io)wi?T!{wy%*g;
zvj;bu#EDJ%4JU@%T<h8__U;8$VXa)GkCZ5phf5;V53v!A90E{(IlBS;Aml}k;ONC#
zuvE9+P1-J0u%W+I#8g9-FF-L&Pl%!p<sI2YHNVa3Van=%rjfAcI1@P?AK*EENpG-9
zc3*t3)AIl*hXH5Bvorq4&Y0zMYweWLglk}KJzufF*G=||>nkFf?y3QWwS5--YUPHK
zL*w|4Q=S!EqR<|5Te4f9y6iDS)(780!OOYOw#*H>^c<q;(rjw~R`D^`_NzP3EZCHF
zhP@XB7n~?^@#kfC)taDfV(AG*jsknmuct>(B@R+X8dKf9Xj`phu$aY>YU2=II7iET
z2x>5NYHA(@WvHa*9lt}r8^iV(cp`}xdc6(L!0IP7T2~UAmjbgHoJF;9Zpx1NBy3k}
zYe23;pNWdTc@d<>oPQ9*v%T2wK8WDo{W_usSDqddt^#{{`QllvwarOz`#rD`jw|={
z%}*V-j>e|r1HnT{0s?~DTLJ?3AKRRZGso!x;+_o3va-KDB6_e1Ah(G1DiCOD0fszk
zf6Yh49$<rW(yur=z)ACA&2OCztq@5h=Q9C2IR`lx73e_+gxEvm#`?AA&95gO%dA-t
z@xs4SsV-~XIH$Q`enNKB^+_Ak(Z@3IH)5G%1=kv>*&%1slF@(BJb~99xGY}%^2!ja
z#PT&pcaEpef8ITqslh!;mRHOBctGRA2|LWPJ4hm(%nsOH_q^S>_Jrr=Qnw@oftwY?
zaj%U)!_V1qF2}8&_;rws!K?;rJox}Q0|7;pw)$Fz&D8LfOjJ7x`f=yeny%@nA_Sq-
z<S*M?B8XC8^LrYw3in<0U-erJ0Qds@0e%1!OpRnX5FX|1!nyvY&JjlLd9sZf-qtz|
zEH5f#%5p{ZXE|8)y2pmR_ndt$cu|V)!S{UUS>;*hS>rJwuhV?r{59o8l=X8?s7c9)
z<2W`7^Sui#y>%n?xa$gkd{h9~|8_O{Z7>t2e;XXPJh-9+f3>u9T0A`tXYI^_(7pGX
z^iEi61$4MwVKVsb>gmv2Is-D>N#Dbo^fo0E<XKbk@Ir5vM?;Db%)Ii>4LAm?UDi?d
zqBHLk(zI08)cfjL=nT4INu@#&sHF66Z!aw**rpqeeHLa)aSpBPpoVc-{<1wovWzLh
zm5m&SF<7|EMW#K!O8a?87r$u}>7}Thtr1tDTXlMLCz5YD1}U2^=}W6j8$nA%t4YgC
zyB0`OsJ@uS?v(7{=d3!LSG6dEv0q(tZPFXM*h?L59$>EzbDXPWn{cR$kHQy<?+cN=
z%awY{W_sMvbNDDuf3V>f7!*U{)8sgRonj^0Cj|F+K*#rw1{Kb1lU>%7Wyy!U$ycRX
zdE+9)qa3@|n>Iz{ujmx4xZWHQJ1-&@=VtWXNCwE(2>hZ#)gyQa(*SxT{3ckb@@k7s
z=OFVRAEQIV6VDJ=pD7c+2;M#!NxXcvkr744@>|Gg<UA<&stt9v!FjkT(*b$d8qi|V
z7hUEU*lb8AVH|PxnRb6hZQ14T69r3i1A||zam_Z2fr;7uYs2iVEhyr!4rI3|Gn}I*
zV%qX;u#tlvek$KxJs_9+$im#07Qh})JV3feco;>ZuE|56X2TdAurAQ>V#w@^$j18e
z2pA~G(?qWjZ?Db8%WW1Zq|F3Ol#a3OyDT`1crWdZ5Be~5tdv=uHqKfhs?sr;=SjPO
zoptH|VI`PX=C4wRjjJLr#Ks9TBQ3<3;de_apWf9bwbOBhZWVW6PU6b$Z6$dZCXopX
zy90y`<bXk=uH$SQg0@UJbq=1ol4qkLpF7+doca(x)p6qAdtCan+#yX)qxWBG4CM4@
z{47a%ki9y4rhX%Wm>Mk9PVwSZu-3J@m@am05RfxZ{uQezQLTy-HiH_{lgCpHz=_w0
zDg4dB);%Y2s?oa|9Qq!uU`}9jGUFU2(5i*uS#Qh4V#F^?SedvF`jgWnp^5F3Kz*5H
z*lfXFO}DuD9NE54*)BJ4K9!S5b#&(}sR<$#wg6?-U88^Jn@c`PM8P_2rBJp~7+a}&
zTd8i_#^M)^vd1l<g-epzSo`sLI1T3)r>4Fl@3n8co?&VQ#w<xvSU=?Rql-Mx{cTd~
zIL8`xtCq0m15j@94{g<QKpjE|eoPkT^DHgAx@@TY#FKlrC5C;sjkTuEJfGuBvO6;P
zm@#U+A|pKNiI#zx5)ak2?qGf(Xs%MP{Y``HKX62S{tmC#<$bF{C7btEL`uevNYP;H
zCcO*Oiy>?v`-pmrIM5m18e4F#{b^aCvZdR*96ND0zMEPY`o!PJ+*Q=k*X*~ZD0zC)
zh}JqEB_KAQSKBX+n)NG!R#(;MU9^60jaY8E3zESV(EAJckw3b^v>cGtRj<gpsVzi(
zC;%cMV1#!yrLYcgYJ+(HStilwfvG-8&7B4+sz(hOOwSvrnH^#^+3fzgbrvqZ%q4x#
z%SBj)cbj;#N;Lb_UHJR~?eWUms-*;G@j{wRZg&`UQRVTLin?~wDGeIb*1}JHt6hHd
zR#~-g*9HRNYAgKs4xi81>#zq!%3_J8;k5{0)eg5Rt*ZTnHTU*li0xyH$+ma!`;O|?
z^AvmgdiSMFk-r<$SA^Q9<rh}h<GY@qp!>Nd2Xi$woI!}2Pv&_qgna08*{AYAC1tm=
z$#>RavPc=Z*a@Bgg@zhodJh+{mBmeMX<Oj=-d!IHi?^EdwQEo7Pwr?H(etvWM~~>N
z1CQuQ<2AMEOXaoBt4vYl);p3fx8M_^$*-i2OfEI@BM95WV<$f3BJRw5xEB^VCRsXG
z^X;!G*`f=}i#YD4dsh9JAFi_;N42$1vJrd`8=BNFakDaocr9@=kd4IAE4!DT=H@H)
zxfwIrDS`qg7a#QXVZ|QcCeiHNi_!VSwC$bfevsEeeb>})ZuFsKA2BIu1hs%8x=mV|
z5WWO19b?k~IP*UB)x|qZ-}J0~5%&uE$u{(GZEz3tMw+eD^YcY_;W4WBDN=A;Nr=;}
zDfI)b2CZIUf=%7!mQ-#V>&RrBelNmEliN$9Od~X$;b;DlQE%r*f3P6gz71j~<2$Sw
zB#2`3=!(nOP6^Tzm5|PS;GF6n8!+@_0Z!Rqsz--<`sQieH-@cE8v6b8mvST5#sbXh
zzSI=uJjp|j!~H9c#3HlZw2ur%bB0{=a3)u6UahMw^KEj9-mi7c0u#NN`!~;i9{)Nh
zsooiC`pQhsME266E;7d`HVHTBD^;j8eIa)5Ks63s5`ezSckCu<+Yph<z3){Sd|^1s
zHZXfy-|LKqHHz4%QS~*ZLmhq=D+fKqLtbhYop%{3V|I03WM9T095XkDBWz2$^v)7)
z1njoL*6II{Uibnp7lBh`YM1djDe^ui6WRgfO7`!!#jtYVf1OF%Di%bIj7TsCJF;0t
zhOimAt)fn(#PKH~fCQ_G5UL>mRuyIc4>>0wVEaRl{v+$iUR52!LnOHx-@nI)lvHCT
y96{=+sS-LMW7JfL=H!qU3jE0LYLY~|3V&Q-7O){H*}p0P{wSE_57|=sSM+~DKXDWQ

delta 4407
zcmZ8lcQo9M(nhjGLagX5dZPE<%j%2hz4x+MokUjeA@M_WA|is=SMMZPEWs+PMv3UX
zw<zCx?|063-}}v9bLKqL&deY4%xXC9R5<QmVubfOcFd9hDMAJW%=@DR`1bYK4M9(k
zJCumIY?G^PldJxvQ7%m0_^||v%XT>HnNj`SO|Opn+^&1ZwzW0U8BuCsc1UmD>lv~7
z(;mkW73s#q1P_Z!UI=<FuK5O*E&Ty@n%KbpRb_DPOn7^j-vx0CZy`N`v-f-i;lSh@
zxj(f$_|Q>is{98*Hd;-|<H1Z<Zp+2^Vo^hNu)`iIDtcrou0Xu{wOu)WMUdLQeGR0g
zA}CU6Bn?KpmxsT$IjmwF%~_^yiXG_t;P-IUAE$a*)MNyIq9KPx3gH@4QbF6bV81x4
zc>y};<0D#VBFmEV#2zRmT32ET6+SX-k{miv*<JI2=28)o5|0y@&;?CZzalb-<j`Ca
zwjiYK^bJgeXiUgFfhnXAa!m45=Fg7*kVjxEP^Hqk#|`uU<UUvKhO9~BHXh#PgrZ{G
zE#4|qk+k7+2MYFzNlEu#YMQfKjDIlJ0v|mfNl_Fyezi;3Wjc|F&g9CBH;#CG4!@~d
zBMQ_fe1T{R7`mlta>SSx@yAoBnnV1tHhM;8QI+drSCh&I>S79!4F@U-95m*NcgE(^
z@i6IU&0gtG+x56_rfKgKk#!gig|{&b<MTJEG`L+tw4x!ON<io9o1lr+SUJTEg-5F$
z2_peC&(2}Ytgr5r(nRuNlQ7v}p#VzUYzcTy2qFbZ%=Wkj^nH<;ng$Y66jgqPhr#&e
zD%8to@ofgy*^1K!UuynF%_Hc;ZtSRGivi!R%34=F$2&DubieL0cxzQh5XTcJ%BC7X
zA3()>gZs3MhF~MPEphdo)QGZh!3)q|>W@%`(`i+<DsfA01%7{=V&Q4et(T+WnUZXl
z2wN9Y{ON4am;K)=a#l^%zv33aB5FKfQIiT$7`!$;`MX|~t_=X6OMADVRPeqOcR}hd
zpRZQD!)Jowm8`)HJT7t)<e%I@jiCu_&pxxY2pHw|16BLR-zN(a3~=dz*Cvp>`yun3
zjci0ieaq=qM5}gsDhBHfY}`p0XpcY;zdbZ-E6WVEG?LVUo2_aCpf6t(6FxOxWtf>J
zaR|aA*GTb;Tgu+<fh*9<4?Vvn|E#gLj&uyT*w!s@WfsyEF2~;poZoPMx+%Dbd`dah
z8WX0mC<^n>-)h@0yv_Jc46&(Y%|D)FWdM-x2M1Zh_-j^gth}O6#$AK3n2)3QU|Nsh
zGk#!{l%jT<=+AvZzRoetB3vAt55PVtJp$17niBxWoP$CM>?zHfGwCL@N7V;d6m&3E
z#OAbU&r7OdOoAPGzvArRDjWN*2q)yL#IdaJfrRp;c&ciWEWZA**a5s5FQUP(y~g3*
zV&{C=1zx1-thKvKb;P|VKkN1vu@IgyGcDqstedIwVy`&Wv9XXk4H`><Gy~dRMB*!j
zneoT(-c<3KRE%W28;IPnto!-xvuM04Hmqk(xXDu40&w^6^4?CIYZ*Y(T=&@O>28wN
z&AL13;hV;%UnjMV$3eRS`yYK7mB4l*-EdhM#S;a896puZFI7r)P{<q8qh<a4w#~S0
zQ>hC1@btmJMOF_mvJ+KuC>78mfVkA}npwUY(d|@o!XA$o#;6OLKOSb(H=mHe3($A)
zicQ|Jg@3pV#poQN`lnE5z<G8Dy<Jkz=i$=zU(ghZw%BLB=~CTZMQud$AvjwR&V0_r
z&R92%x(|jiaG7+nz&|U-;d619hr}F`_$8Yft(U(Vgheh*Hs7?oaJ?h8qc`7ynZ~3Q
zn&NKC`Dp02=k8hYA}75oHEk+y9s#4`<h7k-!cPc4^rAtn4{>n(fIsX^2*BHWRsh_)
zs5=`Je_g<)qom2|3i{-k(elOoe7zn{Z!el6JV!oVx8G6Atno>Qr~H0i{=xO0<YGu@
zJ5|Q{kMy;g0_L5#eh1MENu;>&$?mqhh+=_Q$*=~yhnO-!>F6o;PtbV2p>B)gk6?we
zQ=*Js5i_u>xsYNVKb>(mB3Fq^k;oJK4D-gGEr>-Aq(@yE!PKUzrc@d$;Hc*_keTKM
zsu&_IHdP_Im}2+#*CO+OpaVXwgQ*%O;)6Y`;eI|ZRtR(EVeVi0TOwP|C737XxGx|F
zZ{|eyE-Rps2JH1b$s{XF8<zo>@4q`KxT=L(-7yjA;GqhdVYaD=#06)<RB7Xh?q%_=
zvB%D-T22-PBba>-Xm4YM06qIL$~V0Pz3WPvO7-!QO*``#HDv$#-L<00c%E_`%&5Q~
zMKlCIduvN>sXdPqw(j}arc%~wV4eVV{L)%DOEt?uc`~)qenLP!$&NqwrEwOWu~B$b
z^DX<Q;F6vODm5m=##!MmrmOI$f%Jw4XQ5}WG*irywsh60YT2)moqkKmTa`QiK)d{~
zM3!yw4WdrV#x;|@NEr@qZIRY@SdxO=C;Cx^c@&No+5Eoe?+&%ymNuy$kLlQFGG;;z
zn(%D<gWSq0!wEYJmd?1k?*r{gt*pK~QRcZ(U#V!78fVoJqouW~(!3`NZp;OB5@+z7
zXt(?E!b;zyn0t)lZ#3v*1aDJ?BsrPS2K*H?1y=NxJY#JCB=;o&IQBM{GCi!x$y%Ul
zqi0bmt4D0n(~m|9+4imol8n>OW+tJz6pgI#2GgGnV|=&pzmx@GFMVbmx~TGZdk2PF
zb9*{*aB%Jbfa3{*&@cpdW(`cx`fyH4%h5x5udJAeG=lhZ21BMH*M5hra2n64d_%NY
zvwFC$?B{~bf@~Wp>z{0BUoo5EzP`=ho%#N3JfmhZLyVLsa~P>2dDUWmDU(IY!M>O4
zg6)O;8AETb6;t1fH=5WyPo?cJjk?4h9G{!jG-*DK-`zbyoT0q*f{<qOrS3f!7n*_I
zEZfuxK@&&nJn?d=U%P+LuOA-n8957KpG{iNtd+S73(wFS!aRYY*77$7(-;mT0xPDc
zU`BNuw);<T6NK$G8288SQx=qRdI%-a$?|R&Y3!i~u$a;udJ5a#h@pt?h{1@yh!Mqa
ziv5Z`ig~Aqc9ImDYrMXGseZwG?N?{hTjRPUHE}zeP<dG%-XZH$-qyBA?8ANH>GDDC
zM3ugOIul#Q_&YW4-r*q!q-ye%-nB!~5mOF}GdV;HKY15BFKb@$LxQe;`G@*C7mjs)
z{StIEWsLZ1KL4ZzwQoO7I*%^mZb2|q&r{g{2|mwBgRHOKda0AbGm?7@a(L2CBuO0(
zeGbomuSO1-zMOxYt2WP=D3I;yA2fj!KNh*<k#h5ueKLOYfp^!76H7QV;|6p2+*Uij
zmak1YXrcKn^~;{nNr>^d%e=0+$o4f{9?{&Svo`3x!m^1*$#15~peZ+yt_UZ=PDG2r
zo1I<yz2j$jZ3*@feoOErKd=wj7YqlxcpQMoVt+oM+exH5{;~kYmR=5k`1sb7R*JK3
zk{+2af1Q#+dKeIG@J;o6`;N&BB)@0eO)Zf8Im~n^*uA^N*))`ct}9x6hR5@@T7{@x
zy0}?1DZx_$IRab)W&%<IIHF-pFxhpnB6_qp_+2mS=tpgrj0mTcQxCt&k*MxCdTtUZ
zDnighW7lJ=MEIWlJ$QJNf((<~TO9QVY<N#xR&eyOq{r1#Ur1IIWu#Fr(YsV26&K)6
z*HMMF+IIkQFX?sqvz6u5y(>Gl{XvW6U6Ro^p6i|!k<b5hyCQO*=IQ2KoH5GIenE5$
zoo@*m>1$}7P{r1nlKCf^bT6-4G}OD?3u%<<$E%KzP_X>RripIuet$J?R0fCUtN$Lz
zb64;)r#}+b_XYO3sZ~RI^(MJi$rt+dIK`Q2NG0PfAx~Kt^};zI<jjeF(Pmv&`RA`%
zggbh-gFmeYaTzh^^K+Sm27VNuIhjFY9lQ69pXJ`T1KK=H2)YlYwlolsxr(!!tM^~W
zTf}Oj0#Bk?sI-OjCz*uOVM<$>LwSPS&?An9e^scA$~4Lk8nNw;W?wWUwiu2;$MRw^
zj@_Ad_oL$d;y8aPGdSsduV4(nHhY$lB%45wOjuE(F<aG*%K6?VW$-3BT8gh+ZjMIJ
zO^cKu{!tI&-ts-dhx+;^-%g97vox!Xs9eM-%UPqXfA`cY#Ty}`O?`Ol#2CYj7F`GD
zc>GNL!woY1(c7C^)?qHCm~75K=Qje!q8f~8(wvGV@283ser$#Edi!WLzTzu9-VH?M
z1)_ciqS^vc*MX?WHPqyfiRI0`z-Fkvq{(}KXdD{xaPAa}Y$WFP6YcW|o!l^f>e60&
zP*c9}I$fpkO(S;4DnW7KODZ|gaeSrj#Wrb5&}|x!!BVm)lBOLxboaoEuW$nN^4>4V
zZV=D31%+Qth-EH#wWfRWzp_S?7dGR6Uv#G|wpkdDMHjuOnk>5&_=6qSN2n|o|2|qv
zt~OpOAEEa5v)z~3sO+{0H5B2~^wHGewsF*3RpKUim(;Jk!uk*#6VC#Hrw~!iBrd4P
zd4CPku&dxoadZThoxrUpc4)RBC*6{zjQ01mj|#4%nM;3|Q<2pl4QEEvLBv@8J4h__
ziH^!rIfAg9>=AiYayokzeTG#G3zhkQFO#sN55<Qum5+RP9NXoy86Wl26dYN7!Oih9
z5V>L;y?72K^7RJ*1X&!2l~OeaX6qC;jP2wl_0!H))VZfmdYjV$ejq7#UsvNwM0fo>
z=?Jj<Y_Fbp*{2Jny4=n@M}&T{!VZ09Z3$w4A<KC??<m(R%o{&NT6?XC4{VC)h)GBm
zGp?I)Nq^4$*4);hcfRpnCf|+6`$5ioamO2Iho{_Uy>LsUbL!eh@~U`G$YU0&cX9n{
z<V+7qRpOV4vb*Y8fHey$21VLehDNU*e?l3!m%OzMr7;g{5?21Z6U6^(MSgzM=tS)%
zhUA9i>f<3sWdSYc1MriZAn(tb7?1|cny~8Tq1bD~M6Xwx*J|6P77w}&2i-3+=c{t$
z7KhD^y8*<YdvIMtW$7vXc|FgJJ^H-9WV*DZ16<Gfg`Wzhx#bs}n|1}BDqd0G6Fq(p
zt`cPy#>B-;)it+XZJo*E)RGHy-2-ufGNt@#=Y)lE5pyp@2B{Un4$I$`l6zZAZz53j
zR<m477Sx437Z2L9=J6$p6W;Gi-c9-4ifnxi-fN2-%O<y4X_Q$BFG_Q=Ur;&U?3Yzb
z5rYV%Y2jMc;lBwzJk*0Ez10LYYEl+K@n@^qJ}8^}k9K9T^q7u=e2Oh5nJXoLL^6j|
z_moFUh(a{I&r%4(kMCerqVMb&-ZMy@icpIhB|jGuC)vI~B1(Yv4=>|gFfm8f9er7P
zEa2j7HLWw(q%HQbz9|Ul-yqKSesHqJ3ia1z*mc&=pGHRW(Dc^g@a6c?w_HrB<-wt{
z8@h31&$E-qZ`a!8_oPj7Q&)~SyNFGiNAp|(o9WdNAzP~L;2gc;EdM8*L^H3RDDEs#
z#Wg;-6Pu%|h&-+RMo%YM`Diaa?#wnT<pq7P;!<eG+}U^$1HSb}KsgV=u~W=dq&L}(
zRvm`vly{FuMiK@N3U3++yMQfw|C{c3h&ki`?;ipy<Npudqc3ZKS55{Dk+B0mWV!IZ
zk^>lW3V>LS3r~dpZz~;OC?|p^#*p@m0w|QDp!>h$TNnq2`tJkiKQa%D$f@8C0~GSC
zbpM|1-?S<U4+n?zKajt*Pk@2E9Ih^qCNGPN1~Br5c=M9Ls5~2>sX&2$DE%+&{{YQ}
BZ&d&Q