From c5e86f368be9122be572daabadee458564649474 Mon Sep 17 00:00:00 2001
From: Github Actions <not@mail.com>
Date: Tue, 16 Jul 2024 15:59:51 +0000
Subject: [PATCH] C. Benjamins: Update CHANGELOG.md

---
 development/.doctrees/environment.pickle      | Bin 1568813 -> 1568813 bytes
 .../1_basics/1_quadratic_function.doctree     | Bin 24889 -> 24889 bytes
 .../examples/1_basics/2_svm_cv.doctree        | Bin 210449 -> 210449 bytes
 .../examples/1_basics/3_ask_and_tell.doctree  | Bin 19066 -> 19066 bytes
 .../examples/1_basics/4_callback.doctree      | Bin 16712 -> 16712 bytes
 .../examples/1_basics/5_continue.doctree      | Bin 22836 -> 22836 bytes
 .../examples/1_basics/6_priors.doctree        | Bin 23910 -> 23910 bytes
 .../1_basics/sg_execution_times.doctree       | Bin 14630 -> 14630 bytes
 .../2_multi_fidelity/1_mlp_epochs.doctree     | Bin 36016 -> 36946 bytes
 .../2_multi_fidelity/2_sgd_datasets.doctree   | Bin 24913 -> 24913 bytes
 .../3_specify_HB_via_total_budget.doctree     | Bin 28843 -> 28843 bytes
 .../sg_execution_times.doctree                | Bin 11183 -> 11183 bytes
 .../3_multi_objective/1_schaffer.doctree      | Bin 81595 -> 81595 bytes
 .../3_multi_objective/2_parego.doctree        | Bin 26829 -> 27144 bytes
 .../sg_execution_times.doctree                | Bin 9661 -> 9661 bytes
 .../1_call_target_function_script.doctree     | Bin 15790 -> 15790 bytes
 .../5_commandline/sg_execution_times.doctree  | Bin 8488 -> 8488 bytes
 .../.doctrees/sg_execution_times.doctree      | Bin 23869 -> 23869 bytes
 .../examples_python.zip                       | Bin 50937 -> 50937 bytes
 .../examples_jupyter.zip                      | Bin 61951 -> 61951 bytes
 .../_images/sphx_glr_1_mlp_epochs_001.png     | Bin 24944 -> 26142 bytes
 .../_images/sphx_glr_1_mlp_epochs_thumb.png   | Bin 17372 -> 18739 bytes
 development/_images/sphx_glr_2_parego_001.png | Bin 22268 -> 22097 bytes
 .../_images/sphx_glr_2_parego_thumb.png       | Bin 16970 -> 17047 bytes
 .../1_basics/1_quadratic_function.rst.txt     |   2 +-
 .../examples/1_basics/2_svm_cv.rst.txt        |   2 +-
 .../examples/1_basics/3_ask_and_tell.rst.txt  |   2 +-
 .../examples/1_basics/4_callback.rst.txt      |   2 +-
 .../examples/1_basics/5_continue.rst.txt      |   2 +-
 .../examples/1_basics/6_priors.rst.txt        |   2 +-
 .../1_basics/sg_execution_times.rst.txt       |  18 +++++-----
 .../2_multi_fidelity/1_mlp_epochs.rst.txt     |  32 ++++++++---------
 .../2_multi_fidelity/2_sgd_datasets.rst.txt   |   6 ++--
 .../3_specify_HB_via_total_budget.rst.txt     |   2 +-
 .../sg_execution_times.rst.txt                |   8 ++---
 .../3_multi_objective/1_schaffer.rst.txt      |   2 +-
 .../3_multi_objective/2_parego.rst.txt        |  29 +++++++--------
 .../sg_execution_times.rst.txt                |   6 ++--
 .../1_call_target_function_script.rst.txt     |   2 +-
 .../5_commandline/sg_execution_times.rst.txt  |   4 +--
 .../_sources/sg_execution_times.rst.txt       |  34 +++++++++---------
 .../1_basics/1_quadratic_function.html        |   2 +-
 development/examples/1_basics/2_svm_cv.html   |   2 +-
 .../examples/1_basics/3_ask_and_tell.html     |   2 +-
 development/examples/1_basics/4_callback.html |   2 +-
 development/examples/1_basics/5_continue.html |   2 +-
 development/examples/1_basics/6_priors.html   |   2 +-
 .../examples/1_basics/sg_execution_times.html |  18 +++++-----
 .../2_multi_fidelity/1_mlp_epochs.html        |  32 ++++++++---------
 .../2_multi_fidelity/2_sgd_datasets.html      |   6 ++--
 .../3_specify_HB_via_total_budget.html        |   2 +-
 .../2_multi_fidelity/sg_execution_times.html  |   8 ++---
 .../3_multi_objective/1_schaffer.html         |   2 +-
 .../examples/3_multi_objective/2_parego.html  |  29 +++++++--------
 .../3_multi_objective/sg_execution_times.html |   6 ++--
 .../1_call_target_function_script.html        |   2 +-
 .../5_commandline/sg_execution_times.html     |   4 +--
 development/searchindex.js                    |   2 +-
 development/sg_execution_times.html           |  34 +++++++++---------
 v2.1.0/.doctrees/environment.pickle           | Bin 1568813 -> 1568813 bytes
 .../1_basics/1_quadratic_function.doctree     | Bin 24889 -> 24889 bytes
 .../examples/1_basics/2_svm_cv.doctree        | Bin 210449 -> 210449 bytes
 .../examples/1_basics/3_ask_and_tell.doctree  | Bin 19066 -> 19066 bytes
 .../examples/1_basics/4_callback.doctree      | Bin 16712 -> 16712 bytes
 .../examples/1_basics/5_continue.doctree      | Bin 22836 -> 22836 bytes
 .../examples/1_basics/6_priors.doctree        | Bin 23910 -> 23910 bytes
 .../1_basics/sg_execution_times.doctree       | Bin 14630 -> 14630 bytes
 .../2_multi_fidelity/1_mlp_epochs.doctree     | Bin 36016 -> 36946 bytes
 .../2_multi_fidelity/2_sgd_datasets.doctree   | Bin 24913 -> 24913 bytes
 .../3_specify_HB_via_total_budget.doctree     | Bin 28843 -> 28843 bytes
 .../sg_execution_times.doctree                | Bin 11183 -> 11183 bytes
 .../3_multi_objective/1_schaffer.doctree      | Bin 81595 -> 81595 bytes
 .../3_multi_objective/2_parego.doctree        | Bin 26829 -> 27144 bytes
 .../sg_execution_times.doctree                | Bin 9661 -> 9661 bytes
 .../1_call_target_function_script.doctree     | Bin 15790 -> 15790 bytes
 .../5_commandline/sg_execution_times.doctree  | Bin 8488 -> 8488 bytes
 v2.1.0/.doctrees/sg_execution_times.doctree   | Bin 23869 -> 23869 bytes
 .../examples_python.zip                       | Bin 50937 -> 50937 bytes
 .../examples_jupyter.zip                      | Bin 61951 -> 61951 bytes
 v2.1.0/_images/sphx_glr_1_mlp_epochs_001.png  | Bin 24944 -> 26142 bytes
 .../_images/sphx_glr_1_mlp_epochs_thumb.png   | Bin 17372 -> 18739 bytes
 v2.1.0/_images/sphx_glr_2_parego_001.png      | Bin 22268 -> 22097 bytes
 v2.1.0/_images/sphx_glr_2_parego_thumb.png    | Bin 16970 -> 17047 bytes
 .../1_basics/1_quadratic_function.rst.txt     |   2 +-
 .../examples/1_basics/2_svm_cv.rst.txt        |   2 +-
 .../examples/1_basics/3_ask_and_tell.rst.txt  |   2 +-
 .../examples/1_basics/4_callback.rst.txt      |   2 +-
 .../examples/1_basics/5_continue.rst.txt      |   2 +-
 .../examples/1_basics/6_priors.rst.txt        |   2 +-
 .../1_basics/sg_execution_times.rst.txt       |  18 +++++-----
 .../2_multi_fidelity/1_mlp_epochs.rst.txt     |  32 ++++++++---------
 .../2_multi_fidelity/2_sgd_datasets.rst.txt   |   6 ++--
 .../3_specify_HB_via_total_budget.rst.txt     |   2 +-
 .../sg_execution_times.rst.txt                |   8 ++---
 .../3_multi_objective/1_schaffer.rst.txt      |   2 +-
 .../3_multi_objective/2_parego.rst.txt        |  29 +++++++--------
 .../sg_execution_times.rst.txt                |   6 ++--
 .../1_call_target_function_script.rst.txt     |   2 +-
 .../5_commandline/sg_execution_times.rst.txt  |   4 +--
 v2.1.0/_sources/sg_execution_times.rst.txt    |  34 +++++++++---------
 .../1_basics/1_quadratic_function.html        |   2 +-
 v2.1.0/examples/1_basics/2_svm_cv.html        |   2 +-
 v2.1.0/examples/1_basics/3_ask_and_tell.html  |   2 +-
 v2.1.0/examples/1_basics/4_callback.html      |   2 +-
 v2.1.0/examples/1_basics/5_continue.html      |   2 +-
 v2.1.0/examples/1_basics/6_priors.html        |   2 +-
 .../examples/1_basics/sg_execution_times.html |  18 +++++-----
 .../2_multi_fidelity/1_mlp_epochs.html        |  32 ++++++++---------
 .../2_multi_fidelity/2_sgd_datasets.html      |   6 ++--
 .../3_specify_HB_via_total_budget.html        |   2 +-
 .../2_multi_fidelity/sg_execution_times.html  |   8 ++---
 .../3_multi_objective/1_schaffer.html         |   2 +-
 .../examples/3_multi_objective/2_parego.html  |  29 +++++++--------
 .../3_multi_objective/sg_execution_times.html |   6 ++--
 .../1_call_target_function_script.html        |   2 +-
 .../5_commandline/sg_execution_times.html     |   4 +--
 v2.1.0/searchindex.js                         |   2 +-
 v2.1.0/sg_execution_times.html                |  34 +++++++++---------
 118 files changed, 314 insertions(+), 310 deletions(-)

diff --git a/development/.doctrees/environment.pickle b/development/.doctrees/environment.pickle
index 2af6d6d03d30269dda93b7a02548c5253ce77edd..8fb1bef10a71fc9b52a76dc4e928dd3005663b37 100644
GIT binary patch
delta 72435
zcma%kcYIXU^Y-`N-Mx2{Y&M021X6*}OA=6eS9*YeAe|5(l%*t8=?Nfh2@tp;gVL2E
zJxICI14vU!5J8j{QBjmCf+Fqr%(-_1sPE_V^2hSbnbXglnK^ULZZ;JpZ7N8zX4n?S
zZMBZCF4Z7uj}lE;Cmf;L<hoTUqpMH2mS4ZJR8?EqC|tYOtEiMsdGD*Wq!4XozYt4y
zW(8)D{{*KW9i8G;Rtlwzw|zoGvNHpc(+0+l7?RwlN}uGxgL^0U8I+wFsD0lwNUE+)
zZWpYjC6o#eO71&4d1#-MzDc7-B==8=9XPaa%9!lTXf8_2%R0i*T92+iQF3MtZSq^i
zwWLN-)ZW`CLW<S`ItNqYXoo}2tRi}lHQpJB?i2?Rti?4{wMLC2D9hWYm{ftHeo`YS
z?SjKs8&<m{otx?%t9?+bf;OyHdF@h-vJ^1Wr-+;x$-SbqJg0X+rlWe&@RWWj!&A_=
z5!sn#wfN3uwS#Zf(Mlx*Yg$4Dsj@b?L7297K%kcRc5N-8X0*1gdIO65Nv%%9-jGYk
znX!~~OA4X5`k2UrEh?bHD;pK1tcgw^IWw9I+s(0-(}wjbhmKc4^O5Ag-x*Le(|6zy
z%*Ke=_DveS-MUG3W`vlJm6jsKwR??gY7ZKeEfQEbyF-!(4y`g`NbgkYwMVI--K!f#
zacEl8YF7$$7Umi?a^PT$q&yu=1uwTokS$D9+Hj07uVR#TuxBy4_oKs3X;Zu^X@_gQ
zsa<LoLp`d=;o7ifm9&hvN@~4YMQPvHjMsWLj?#W;Rg&6|w?t6Msa_Sz1iX<nWZ+Qr
zdT>(8nB*a8gHv8z{}Fvsh9(amm`by!dPjNL%z?)kGqhr9fKyAWQ=Jw>SgK%n6)3lZ
z>R3=SMr%|nF2J{N06fg>%!;Py_-m&d*fqIXO|4Y@y0$1Wl>2V)FimS2DuwePLxT)i
z@~)B8e{kxE5y`{HX0sHvt6|U1wAD=Nmpn|{TDPHDcD~aQ23cEPO@^$M(eAd4*5WoR
z+M-&akW+8EeaXj8J#I;1wEi!vgA!KQ!lZC5J~3QNt5;g{tsOy)rg+6_`Hf3pqwqRL
ze<la{W@mcUN*X*6qaTqXc1=ktxa1$KO=?g<d#6Q7?fcrrwdkh)elJ&PNNV4d!Ibfr
zwSp7|feFLP1VPe+@PDk3^2CwOA|N8rNQAcHtx}Xa-cnl54AU}FICCj2en2T>hn6J&
ziq4|igvQ|#B(P^FJ>RWVD&aJjXM|^~`4vv^@KHmDrVQ7<PiRalr>SqsnRSFrq+NBy
zNRiZNg)I^dlra|V-d=w{G}9=>r#v0rt(2t1P-pRgOuzUztbba{@PR{8hK@`gtfkf|
zrA0Rn(&Cy{)T*_t7VxsQe#w23`=(@Tjd~ZQg13FWc~Ra>LT9keN>Ro!M<`|>sc}(i
zd(mOjuGOxj#nmXL^{5ezt;eF8e%(=2Dy_9kDjk%a>5NYrICKOW9GpCIU@F8UTC3YO
zT07aWqL$w>Qj2O_Qv1Dm4LVd!j?n^Y#cEYsR|!|F|NCEN;Ohme3?DHv+ZANhCbSNh
zKeA{awhl{QYC*o>f62Fz^#n7$M8Ay$2iNNVs`fC_mvctvOHnjZzZ1oUEE)-yIl;G3
zXpk6;4*e>!iEU$KJE^s36Cusk`nM@9E!5_;sU#iHcDJb@t<!#LQ%2gUIoei`k6N^v
zZ7V3j+@VP7Sxqjk8in(;S#8TH0h}I9E3v=L^lRF8Z7VCqIXzsP)Hu{k{#&b*SXTLw
zyAVp<-;|3ha~L<Ec5b<j!>IBKrx=2twcjT|yPIfJws0D2da)UTeZ<t><itiIvEfBI
zS`~>eEZW3&jigK3fp!h0^9$OSQ~uy=6*ybY86UgZ$cLQR5Q%I$yeZ=wpGZZNUyFjp
zsUX}EZRT9<DQ@J%=2bPncNFD&POmL$h<m53lF4MOSs^PF#T@e2+PrsaC})^m($k*N
z)H3b<J5iFZ1#~E_9Akc2N*iw}r6qMx%06N`xNtjpjGi$=Zf2GeY6_|*+^FrUwz)$s
z<#WN(q8mr~8+k){31URv17#f%M&7wvgO2s2{o2Hiaq<R>wxwg)5^K0%k-`Rz9c5JE
z%~ez@G(p9TI@W8I-;I|nTGG4Kl!IKjs>q>jc{f6utetu{PP(T(f48J`T`SQkRyoBv
zDhoSXaLN{}WpuJBpK)4Ap$zOsOR`nl+Np~4gI3U~qO?GBbdHjK*D7_cDy`6xI+v@t
zl?%M|1ca>;i*}9~MGHG$XvB<Kw`&JFms1vTo_dByl0lAQW|KCnR;5dA#f!&iaJ9Kz
zqNEGj<}MASPqjN;8c8d)xULPQ$J(&2^`z6<mabK$r{Gp*)8cE)MLu$r7V6ks^xrrE
z%1WhPn(Aj{nuZEWQ`S*O5kpc{t9G|b46Qis2r=Z@m-|qs&}RzKdUaQn4DNOXk;wHK
zId^cP>0RZ2t_B&Y|KswdL{=l=EN3f6E9WaQrZ8_a3c`h{W~O|?DOC!c8mCc`I5k?N
z8l69)<@YEP=HwP$aTeIX7;}7A3+UNYk(eJZRO+=K9OgC+6x|Yua0xuyVz0KhXDR84
zR?xGi@)fsM5$YE%PL4gmORVX~NQARkjC%d$aGHx%#Hvk7s-{fk{KYxHk<}k9Xv^Ud
zEf4i|7?XS3vY=OW<!8=VnTAdAD(`Ldb01Qu;S{e(%BYOIM&f2|MXxH-OzljsdeZxv
zZ*o=XxYjVamZEX-C^nVGB;40lCcml7;M8g!18UCw15S)VqHxQ+&5Ac_^?R3AvY7`D
zw^5LG@SPxSeIp+>Qa(nVKH8?<736O$+PA&ql*LAaXIqAu6@+N<eM*=3l9ONVO~bYt
zU4PE33Z{!;N=E^w#Urh<Ic*<Uw5xr>q%X9;`;?aEYtennE5C4_;xymer>NOf4$_0P
zjK0C%51D6pLF~|(mF%%-`}>B<yDVC4N(4L&rzt>pICnVv>BWqxpT#-i!~BG-yzU_w
zeSW5mPbs7P$>l0&XBw6<D=NwbA~k32;%34P&Jjb=eWemwbU&N*C(zokdO_5-tB<$Y
ztHTzpZND<gJkA<Ple_wO4AT^CNxzcPbnQUDSZRrNw_m)~%2E<gD_m>XKS;52V|Dl#
zKz9d7k%rV~aV@2g7-jb05GTZm!$Rd+fm*LNiW0^J%fsg`ZO+>*t<r!h%3qu_M)>jL
z2lyzPn2a~w`cP?=mN%e*T+FIT1IsAiGOx17br!WsyR{wzL(+4>8I|du)Hk)y(BvU0
zNh4E}(vn9G$ex&8&cz;vE0RBg_#=uxK0<z1G$ZyaTqPK>6X7b!h`k3_DgI!8!4<=Z
zeFRr&M(iB8$}nPwz*QC~-F1>-IZm9-s63;Ej4CiXz^Edlb&M)8+R3Ogqoa(fFk&yk
z70VxaoEFE3Jp@-ge_Z3Vs*Kn>a8=`vzd7xVbcXC3xZY&Mo`I`6BlZYfH5joU;Ht@p
zjlZiFqZf>7GrGj64x{so>M~;M@2ba$O}?u>qqU40Fk<8GYRCxYJpF&JMhw}MyBah4
zn$cT~*nYd-X0(h^6Gl3tri|EnyP7d#yX|Vuh>f(X1*5BsS~6nm>}th`&9W<jKjv~;
zYewn&8Ma}#fl*sVY?ob$jMxmj+VRJFPHWG|!XNMO2b*A52S$?_b!2pp(YuVUGwQ^M
z4Y8{;BR0RTE{tUU=xR;J=MS9Njp+r9x-<HnQ4dBd81-btrr4Flh;6T{7o+Wrk{PkB
zb@gUs<BvZ4!4}rlmp?8rH-*usjQTNJ36$>Y&+suP4q$Ye(LhE|8MzqcGaAI`H%5aQ
zO=C2Kk;)%K`GbwAE0sUkg1XWevDtJDW5lM?HJm@#M!H5Y+Lq36Bttfeu2GEG5V}S)
zI>P8ZMr;LLWBB7Pr;TOAmd`bgKiJ&4#`DKs=1ySrgwaGsZ0cN-7_ohG36U?tWQLXH
zk1d;PGSh6+TvPbtHm6Nx#OBQPJ|i|`u4#-mGn&q5CZidQ-e)wE(Q!tz7_lvLxf$JO
zG@B7yGFK)eHeasvISe;4oXd#qmTMlPi;S`u`S8bl{`iK|7BFI~<<c01@JBX(u*q^Q
zWW*NAmBWbbl8YF9z-SSpFBpBmXugHz??Z-coLq|;<uF>ph>enKDWg4%mNDAJXgMP`
zLar5zW-(gH$d5lh;*V#X_Aw(iI<8fWit@*5{$MlXS_72sVhiJ1%ZY~>eZq)Mi)$UD
zDU8-Ln$Bngqa}<sGP3f=CjPMV$7cRugW}r4h%JdLmr)phY~_zzoc1XrwjQo+H5jtx
zaBXL_iqQ^6#rR_<f3WRv>5O(W`ixQTw&ke-mUIQ!t=6@59h4NI2qWQETU9bBHWY64
z&bJ1|#=@=AyWK=iHW+U8ofLy|h*~0+7}RpXtGvyi*m$_rt$!F48xXfzqf~cM%dfn7
z-0JNr2FXUlt%kg1PzMCnD8ZoEc(~QK`WX}(5V!jIZwAFi#H~iydWcGcMQ1LTG$=ME
zZnbh%g9;G5{f!Lj8ViqGZPwc$*|MP0kp{)q#jP&MHYheQZnf+VgJL7&RvR2KDAwq1
z_1O)BV$<PPF9-A%ona&7R?ka)1jUBPt$sYhpkR#BL3R!AE0`|?vrM)@u~l-bQ_7_X
z9$O~2x_-7nu}#9l+%PCMEpGM6(*7bRTPe3XsMSD0v88gW@$+4Rg0%uQ>*!EHvB64r
ztD~l-3X-jsTg_~gCMdRCZuO(d2E|s%tqv#{CU|VO-0JVeMhJ>+ms{Q2ca)&m+_=>y
z)29lGZ5S5jvpIrdJLXn%uFVrvDCbO954Kn!NH%D0wewShVw>hxcc(5CJhp3Y^~C!*
zf@0g|R{x4zEGV{7ZgqRzC4yob=T_^f%LK)C&aJlZU{Gx9+^X{<gJOH<R@1jsTp_Zu
z(Q~U)M;R2GJGa_yt3k0PgCvw$BXY6<bgQTR)(MJ@pj-W6gF&$!bgO?#n+0!ypgMVP
z5focNw|Y&_6%^Y)w|YJOXM<$J=vM!pu~jhHBw~}iy<JdjF5GI|xgCOHBk5M}|M;1p
z*bcc>uUWeV#by)YJaMm}*mPnE8|@Pmn@_jexSK(-Wpt}ElG6_hCR<du+UdqIL9tbZ
zKy^GWC^oE+?oSMgjjLO2bkCsJth&|6IwwR<Hmz>;SFbMw#b(p3KAiWZpxD?#U&Nmj
z6dPQ(I(^B>bV0J!b*nxP4JKP&h){=9g2y)3t<LUrT2R{r@9p0Vij6Bq@$(tMWAlsM
zR61W!Y=Yft!p;kVV&m&ZK=B(vv0-(q$6H<;l+Id@tuRF4_(j2FON_~H@~xoQ8oSjI
zR}6~HD@GB1S@75@yVW`$8x&h+EJgh*g2&d`t+t50DkwJ4ZgptjH9@gm#AfbrV^C5$
znrBPxR)1-KOEB5ay4BAP-VqerZtRL*?+S|Tw_DA&-V+qtaJRZ;ph2-6NAuqq6x(v}
zs@)ek*`7mr<roy(bhPk{sdPn{bGK?s{#|5clMZ{Z$Dr7%yVaD(2E~>g8?Vv>k&|t@
zTkXH)FF~=rcB?bpPX)zR9{Mr#xuDq6yVcsa42rG2TdnoNHW+iCE=;~#z1Lo0QW$&e
z=J9qxvB7t%hko!D6dQfF>bK1yD7NC@{c2G21yv`~DR}G&xYZq>85Da1Sf<u~g2x^K
z#Bzf{rL$Y$Ru^{i7ff~o+-lQwgJSmp+WJF-V#fdiwb`K95x|sQGAMQi+^QTBAZlTM
zz^$%qWKirAuqrbs_6snhOATs@VgH_<G)Q(3-0E04P*lTCf?NHfo<XsrfUXTUD0UXy
z>IW+giX8^G8g$N}*lB<~JuxVD9AGQT7ZG)`^WawB?O{-V8TN0wW{~VeKw)e%D0U>=
z>d|Wk#m<CV-Q*o4s$qx1t!Bj-6gw4eHL!(2vD@TU7k_F{>^iyC|D89eTtRu?GN_Z5
z{{@2?VG9<O&KAto-GT>eZ;Wp#E!EP;$0N?Ub^KtJZR)&iTvILRtVPc$s&$?`MQb>7
zl$LY4m6kRkSR1>#v-sbAv>2j@jb<ik;WJ~jqtBTePiKou3_`T7?l4Q1>xwocs~K&G
zL1Mv|HMF#4O|``9KHC1p{#w(gJv6_K36$rMY?}YyMd;l&QXj7@ae(CZw{GaEjh@AA
zk3=f$x9An8PG4>G1U=A_W>2<e;ee^Vc;Brpf4@7$m6ZBwqh?J(88++x9Em3j<rkL{
z%#I@7Fmn_)-}mK!=<6`4otC%FNukkFaa6`$fu~#MV7YN{*hBDeJd?C#hA$>=GG<_z
zw)L0x+KN*}wP$mDwdr#wYQM~zqIEbmQcM}A$7Y9Vqvs7n-nFmK7W%5)x;sj1c4w-X
zea_s49NL9*E-KqY>Vp!iX}*_aRL|99A8w`vEiA9K%$};bHgSgUwY;tEDYueTUVD1B
zmFS0Ah1TUpD`q$;wj8bqYh2*$nOeilSv-&0w7HWCdx{3N(52_W|605MQ)?}Mslz*E
zOrMlAzI_>?4VyLNUn{#kYbw=vOKOU|#b{oT<bw(>(Ci*kGnL&P&wO<}HA1v9a8qB@
z?ndqHwRzurX>Y9jR%O?R^Tn_4uU-477j?t}VY=A|;^g_cU8Tm5Kiu(s{GPU9Wp6L`
zhrr3~u6@6)9pv<)rmqRos;(WSy;$8(`*KZxZSC4VTA33GTJ9QEi#=WpO<sk}x7Rk_
zE2d@7A4z}4K~Q^r7N&K|XsC_e)mi)WtI;&OA|xg2p`t}^_NT1d-cD`!thThGrc^`g
zcnaBf7SZ<J4yFTjq#js+R$9_0rL~_oPSw7+lT42~V0EH5htY&C5X*Cq-X^6KH?h-)
z{M$<Y+M@MSXm=Z_4du7PwcYxMDcWdvA0C=keNI!V(jHgJ!%LvRyoV||6C^*3pFKMs
zf71ERv??B5OZvp2MgQy%5g9_?RzfFO$S#~~N(~!Gsh+K>)!i{li$44#*10dGw={=&
z;qx@?o=~gif3RI)J%4`EiW=6Fiek1}iJ58qVl>1dA;(9GqN@%mP)pc9h@yO?0CO;y
zuO0b=v|BqnX{UDep=&;pN;Qj1MQD_-G*N4{dnBz<rSVi*MXRhqc;99pPUEg%6HH*8
zF;NT1o6H?Is?1#z<{3dLEYe)f@8D3ec%yc8p?B+{o-;oM`&LOCo1Nui_w_&LW58ZR
z-knGL^MWrpQC9olz*wwvD_*<+ZNlN1ntDuZ{4HY9c@UTp%rQH`o;sV9lM)u3_0uZn
z2SW3V)g~U?0HKc5T3u@8kt38~N7+;2pR2-ZjF+*uw)+dQ<;p{FMtBAo^J<SmSq&Mz
zS-Unxx=#MJrS{zVii-$Kf7(Wi&iB>Eo%Pk66I*fez0*agX*o$??x1>1z;C|I(zfRh
z!qly2l_EsB%uU{m4%`TPHZISf=KoE1p^6_Av}0-4><bL#f-$j6&tn?4KuiGI(tf=>
zN~?Z>_v*n{ySB~$n>QsSPS(7?X{{-jgR$!hJA(W^St8Pf$}$IPCC+xiWX?1-&Z)v8
zJpC{0{~c@IzECDT`|867V(GOj2NRiRPr^m;z>!HwRHD2jQZ&DtMbVMZ3Wxo#JtsEQ
zf>{bVdqD`Q@9C?V0-vni`~JPc9sHo+Q(=+Nbv}1+*L!OL*WT6gu8c<-pFTKkfJj?$
z+)GIkPcB~T2<DK_B|L}!+O3{l_78=?R?#!qjaPZaB2WvTXFRpoN@34?6v*p?DRVPf
ztfi*{tf??-bh8&kWR{}+_8>?rbCdOt!!~?)>hKZ&>@FXbxS_2Z612B&7g71FWHt<=
zI#u(To}g{I7y7E=6B=vR7YV}17@L#lk!7jbogc*<VnMbWsvT;qVJpc`>vg`9_SK^%
z{}}x1+HgT`7p|Ld51N3bDPA})aX<Ia2LA@7_<hmWw4=Y!vab%7nzWbtYYTFlYCZl8
zL@(~Lwx`4h=-OlZ6SU|V3jG!?6&IV6`gDZ3ik{-5B|df_?;;^WJf(-9y!CHy1$w-h
z*5HY%ZFmwYEb@t_A|Vo*+hBBi=0r7Twftu@Xjc*GJ+0I8U!iSroq1+@Cn_i^mGfHo
zzyC@9<A2()4UM$GybRheOMSHS=LXS@0O=gGV{cZc#Zb)4O6|g>7PQZbnmA`%kmPzj
z7h1bO(TX%v<s&CATca0!w7A`Nnr)ZZ_h?n9!dW%{NrU~Qu~6pYQSejGXvyA9s;T06
zMOsRqk+f2kQiZB7><Xlj&#b7O?mMLkp7i2$rWh1l-0tG2>@j;K14YXPzEY-k<hig4
zY;R9%D-N|6-5^yO`>(3`kn5>hSPf78#jxl2%nN2_eYX16KB;MAwf#?;BgX_WA(-Ru
z|1}{ywA0f&^JJH&VnwCV!q(8@U}+M2k+dQdPhB#DB|r3R8qWabhe#7;)k<kjY0B$a
z&;dR>a|g!J*$`=fuyL=BErW+WmApcvboqaUt6aWt2xw&6e+wW)tTF26Gd9;hkhUsN
zXY75pij*eOxiEMU9$yr-d{S7;zgWcTlzxbof>|hG&W642$)dDVyML?wf?1uljK3mT
z@{_Tod`d^l@U;@yIQlDT$-`6nr)u-&Cwh!!D9>#(Y6y3o8kCj%=y6F1)#zEmnpTH|
zN>*)XR#SHNr>cCg=lY=bG;O}9lMQYttuHOH&&)@ClTT1+zo583ypW&Tu@>>8jPg<t
z+qD9Usv@PaTb4it<)tv`D<P)rs=cTv^^`tl=lYc*!u`2@cLYXR#295DS91+5a#(;{
z<O9U*yCb>cR7^R?2aufEo8sS;IxcwRC-oADTE$A=g3kd1<~L!PqlNJhq1P0!R{JlZ
zq|xGi7H!I{CRKS=J<_Iz(oniu4F%)glw9zX43}}-+0N`bQj5lLzMEcbMZKy@F<39b
zrHD5r)>l7^;ldI9hoZdpk?EqD)Bl<$s{IKK4;4(2?@Ikp$v!$$R(eOv|0Ix}){=^-
z9LwODF#KwxA{tv=8X;U*ifS%w1+7SuifBzPCUD0}VFEem@&8-w{5c3p1BrdN_o;3}
zX&7B;AmL208djp3R2j*~UnW!O@)FJz=$=m_u@kkIJS~1L8#^&gY}aSJ!Wz2GV3~9E
z;1$-^uMAe*H>41h+Q_~HWwpmk!R<|?#!|L0MlgcD!U!6Eq>q)B_mo=xzh;_^fM>P~
zt=#LA^?N~kVF_?H>r1QSr2*3O*Q}mV^}L5+^nQZWQ}dmez<xcB2NTf8Z~l9!UzYi$
z9n4eW^&aeeirQ6<_3(<oKSM?Sbh)i`O%D05Vf?F>kpDhkm=;v@{mWPT?t}mon9X5N
z%b8uUADU1>2dOBT9SdOt+LPM0l7<*&*Y&Kamb)p9(h?*u?pvUCc3Cs&13r+N<Mte<
zb{Q_H-^PCwpsY^NINTeR15!LzRw(Q^-0UfJmtXEme@y&9%;GM((@pB9a)^p^=Of<0
z#`I`+>2qvmj#VKUj@;yHiNYDGKBuS3F)Pl@n&I4|w~&wHR)zU^BLsVK>`Ekg^u+6O
z@|qted>&}DSr%%SETu|!=wPxmTJ{qPjy=z;-cqC&N42=dO8mfroP8uaebrZr$3dOx
z+^0?}dcwgj&J@9qE{OU_W$7$3VKq4L1r9~_mCDO_Q^apDEO6)rA0;^y#wDY)<W}KU
z7IEfOr73--7_d1uCfJmOC*KsE0t0E*JjGz~I}UA5KQCI5B9-y*IBLeNrVWwm)5(6)
z3~~>Z-ll|pQavWiQ@0_QtSoWWhJ5^(g9`dfzBH}BG(_b{8kg=hK#G?$@mTP!Fv=e&
zDYUsi4!YF_NR`nu4zO|0>Uo}il;#KIujZ8SrVp<|Vh2j4R1Uy#m2pF*ZnS-%v{2=+
z8>ciHB-NJr0WrS=8JIS9Xzy%FbV(J_#9w9;W$=79hUyQJ>dAO80vurE%My2d+=(Xq
zK!kb@!io0IASs4^9U?VF1stJcb`9f=$mIc%HcT*H;Nc;1B#jv?g-EpvS>B#XzqQcG
z!BS6^qjucG6{%7*g``Q**x2R(gDK91sX#N$=&QlfyVR;5-m`x=1m;l8Hio&(nC&kI
zA<MRbFpP!sPRG)uS?L_goS2=dqz+FTkUTVdK)n&-Lh~O<9C7?d5{DN5k;FayM-m4a
z|B=LzMkIN?mpZ&}A38HkDk06L`@^ItS+P>!aOo6Tc1xuw=4*J`;UlDm)ISeo`Uq%?
zp$DW=IU}VWWLt}*3`X5YA!(G<o!0E(T%)AU^xiI@zeiy@s^tQu{f_CFF&Y(F4}$!4
zwA7IfP67J%A=J^B_rPd54&=N)r3m_q$<d#KOn8j<+@r^U9H4<ba21Zs)iKgLG;j^b
zFM{OqG;u7r-A8~d7z^*Z<3~V4#z}*y^M0Tw<Dl1%%m=z1Cdbg4@yL8K1EkjkDM|X9
z+KrY<((DQ7O;$Qmzo;Y^qwtBy)M6dT^ode;NjEY*pNO#!oQKr7i>g9t_2d$?W)gDl
z+<~+wbL3`}m=3bXNRX*3<yv%$$pD^_wi)mUr7b`OtFd+H6Q5wh<63VDnvCvsUkt|L
z$#6q=eTeP&w2H++`KNq>sQIsQahf~@wXDcNmc(h$$GNovsq!P)K|xcIo;Vs4uc69`
zQ>EUN!!7(2Wob?=-v{#%&tRM{I*Tf6(``=sc%xBK8m%E9v>J$~x_%T|-%^swOh=9Z
zpCNtLbof5!-9RHdSZYw08DMmu2y*WX?Ah;mW^2zx*T2_+d_J^Pp}RAYWzBYw?Pp0{
z$o)RhiyK}FJ$GXxE_LEt3n${O!SvTG<QupZ+@U+sZ|f+lKMixEs%@XVQlc-Fo&&PN
zB5Os;osAOxri0wF2xBRhDUG2UlR&oKXN{+yGQs^|hB*yw=3p8s@%nDrjoQDRBX!To
z0`+1MsGf5%sQH;phAMV?F&E<Uh<lR%k<Cs&Ic=3FZysv9!oqYX7bVJPNu%f+2six^
zVT-5Vv%sBm93+-Pp`oR16=>Rgq%Gq%ARr3enGe}_tOSWl-=L)nzztp{dN+V_c}yGs
zu*K4D4e8$>0x9Nbx2(iavuvd0EabFMr7B%!^5#;I4HinBsMlto=xjx$yoFLSUE;+!
z*-{CoUOC7&`xwZ>IcR(TUL#*Q>PKMw!rMW#afUF-U(W@(WuMZNmMjAI#(3r~k|xlV
z1qLIM_I`k4(!R0G2vrnn{h>6Nk~kkEsUd|gMzL6y`1Hln6nb$OD7T^7h*Fk-QF9DP
ztWqSk@m1|~X9+sg;62XL7FpIWl^Rg&ETe2BC3aF{sLe7I8~*{)ru9+d={l1OSg)Yc
zNILM5D&G3qDSD<FMAMgp>%|g`HtJK^6(Emc2XJ3R<`_E3Y28^mVpmG<)5G;Z7gkE?
z)O$7-;iMWzpL~QIb$FJrkIPckk3rhEG3l#1sP0A8Nn1Xa`cVnqay3^$WU8|IxLVyu
zp_)(BX!>&%O4Qzjw63eAJ~Z)DAZ+Vdl*t+sJ71yOarSC-WDWAo$VQr&|0-)S|1lqe
z+_4r5IA8)0wg7@FpTLb@y#!>v`6%YK4#nbm{!cBp$J0_KD^Ek`*FzRx@HSYq9xAsf
zOGfAhX&^<i8jWu4Rhmw0K;CUEe3dpz?@=FK9EhPpCpY3e^Cqu-k4<Q-#%iER>%1yc
z^k$ThPk<DAYu+}mnskuUR<o8C0`P2~S0#FP3(|^y0=t&C1r=O`sz!fQ>XD0zeR)S<
zzl^7yy#5$%1=_h41p-(d6#Eq8ZnYC=#ix+0F-L%wBzPC6CfgtmS6Ex3gcs#*!>oj{
zQWDKx+aami?cR23u^pq$!vq*haArGBdx0$O&A;%Dq0u|g&fI0Mlp0JWmxILAj-z~D
zrH%Kz!>Ejod{<bf&(a~3HCeTl_4SFNa-V_m2kX3(;rOP^b|&vZRw!f_8tO3BU^r+-
ztWN|T-UaTM$w-4Zl%a&(AhV8wgtqBT8(6eO=g;iHJwbF+8@1hot$T6bE9ryjeHON!
zdr|x34M3~f`qZYdeW>Yg4dkSKQdio?3-n|k2Ht-K(D?n3$7|e`J@5KdpehHD`4^ti
z9^+soRx{a@_wVLoi1wGw1L?(`a_3<RM)3}a=;c$NQVxPqZ4o@8r^!A|$ax6l@Q=a0
z-p417Rx%mR+DFt<>M+QDtlg&{M$G3ZPidP$Xs!C^V1&#BnKThIvXjX#*}{urHIIN?
zHWO{s8}3t?PB7Vq)ts=tiAO;eu;7c#Uok1M;FlfiQ<PdA1Nj+i3viRD8_!zYam>MH
z=ugT$F14qh4oHpZ?GsWv@h;2tRK-KBAoz8zU^_lOf=}Zr$!IB~SVkup)n&wQuv{$|
zE$6g%8GXm752MSB(ir{9Xd<J9jNFV4Fd|0l7_GANqq?08w{qf9M*A7@+bY+WjPf|`
zA|rlN<@$-yHBS4T5kIAJy<qe=r#Zav@gt*RjOH*Z!$@aTjS*k*x*9UN0+jA*&2S4R
zc4c&vQGZ4+7>#6fiP2<6d=cuJ%jiQ!iy19r^a-Q2jCL?u&FB!L?-`w8l*#Baqpum=
zWOOE-;Uk7_Miy^;@ZF!wpV1>m5sdhH&sBlZRZgqH=yOJIGvX&su6B&(a#~MD`xy;l
z#1}fQF^twQn#SllqXpjlsB=BT<($ZO9<Ggy4szNqMw1yGWpt0xIYy@#6)^gp(QQVb
zG5VVk-x#=5AAJ14X+ezmCcssK(F#UY7;(7Wm0pJ-N7`M@8Et3Ok<nd7y%{ZHl*;HV
zqX~@o1(ItPBYu74%3*YYxgRrn$|#r7r;PS7TFK}OMvobN!|1el)cGUBd``U2h$F48
z=ZtnR@^Ro}8lzA~;t6kQMjQ}zRb`aH+y;!q!`%c%+c>QYqa%#^G5Unj2u8#x11Q~i
zt~-YlpK#)bjKp)@wTw8H=-SR`FLMtv5^rx$Gy00tE;0I;(Jzd|bKQrGrgEC>i;s(p
z{1|aa&lS$-KBMyK41Z==ozXr<Z!zLPnJbYI$G%)W7`@NP#ppPr_ZVr6-e)v}(R@Y^
z7%gM8k<kW5*^EA8B;M#AVf0))YX6GiH_X1qXfdN(jQ9bM>oKD*IZbimqkvHnMjtSW
zX2jtUS7k=K7}aJppHVYLzcA{+D2Gupqlb)!G7|4{T;mze;>4MZ?l4-&$atj7NIb~h
z!srHb_cHp4(FsO}8C_sBkI@f|rZBq4XgZ^3jFvF+_QQvGj~n90`cFK_jp4*BX2&x+
z#Hc<a@gTPqBR<@_Iy3r<Q3|6?jD|B>#VDPTc#oUO=vz+vfYEM7YZyIaw2jf9K=H0T
zhPj-0iqT0%-!Yoa=x3l&nbwi1eMXqy^U!ynks>8ZJ+8#)PxGa668U|p1nSkllG2e{
z-6xgLy1nUMEuR3&_+Bcaum4&qDlr|Xe|28!X2J&FNL@|1;i8mg!ph%C6C^s{!>2ms
zKg7uo=j2GLepzZxM|%3i=pS8{0wsn4`jIPKUck6((jbXKI{T#JG#x=@zeo1#osnJp
zUW$;UrTW(E(m4LV(vJv8;r}H+N&WbL%g@q#5*@E=uTEJX$u;>19znL7D1NoR-RM0H
zyD1%|>^qXtA)L*_>Cmsp(fh6xqgVM2L1y}{1-dILz=1uKir)qM?^fpUY5HAM;E45P
z*?kYE->j-0Zr%IfK0oVaR)EuecZ&Mj%WVAK@8E7p@)^qK{9vl}2WtMf7o4rte}M7f
zL)k2bvwu(8^|x#m>-GrTyCL#Wjsm1mekcy?p?@JQd$6Y)hzInc0YgyLxyNAC`@@!6
z7!)W%(NECOpvN|I1v8&WXC$Tr^&!us2w6Z{@<RGVg=yzYJX&d$hwa!aJI!pDCAo-^
zO_!{)mjTy?E3%nb#g6Zu8#N|*%N0$y#32Wn@Q_muG~o?@`Kej$AA#}!iN?fv77THV
zVYIZWXRVTg<)gIj64pwr2ErH>XkSseIYnK=dkq#wDj$L@^S{JT7l<r9Lgf*(>6B`6
z{|E(lMhDC{!W}V`P#k6Zbi^cmRve6hl`u*0zXsF2`ktwo7%rEF?AFKBY>$w!0|aam
zC66=V*=TvRM6Hj>sT?VZqVpwD=ZcfYQU&RaOUb1qrUUi&Vq{1o!<}VN1~C<BC6*8|
zm0<e2EJ|I>hsgCSC;LeZ1N7<T<<2I&TR|Qy<*Y;_2)rcIy_Ir|-nOzFAyL*UR6VJR
zJW`^b%k8Ngi3z8Pai}hDt2uA_%{VzoVmgrgs>)wWbMzmp%0F0W$2nYp;xryf9cpla
z^X4q-c{N0V^HLziRkcLw)>?8MR3PYddze1BwmeU!p-#+~C&n|7=K5pOqVIbL>CfwN
zanNS*#tr1TCY`s*u2SnR9JpDFdG|Sm-dAiSe{8Vzg2r;FY?O?R#gTSJAaZ79_?Drx
z?YP63G)WH7J2#P!nYBfwtEyhJne6<pGNtvb7IJ}^^X@W5%}J4i>C8GG#Nw8rp08TT
zv1U2{Zi=cGZzFFsb7z(CQT1zW<?l@Tz&moZ{#!fwkU{I9ufJqPk>6BboBmBldH*Yk
z`q55uGqe7CGZ2pWxiOkg+vsD{8+Mg*JUJiPRsC)^d7PPZ`8bSv&J^U#+Kf|!n4hCP
z<y<rS^Et>qua{iT%%0!Grt0~<<q(tRVeU+k170C9>S`3X%g1KS-iZG4akDaWPO1^+
zsi?kmpd4ou)2|JZ^;i41Wr+NPNuOzg4s1yE3}0V9O#abi0Y+25&8X_j5wFcGVP=E%
za--!%o=V@5!}UAw$wyzMuaA{`n%&Ow!*X<)Ab;zr*_@OrVjMc8;JnE>^T49&gEM5i
zS(2wu$MlUbX<k^P`6|<7dbPO+)8+R>rXb1~XDO!BEcu~@`keDl<q+jOn)jV|0OdWF
zg7htOWq*n3K<YKY8m8ZxC)YP=u{pZVmnR#vetUuJEgM<0&dK4FwHrs)UZ44R(UZ6A
z0s7d5JY-SRrN#2QudK>GVwo14XCtkuzVrjRl2MV4oYl=b*H^R@$<gG-l(tkxc&iom
z&irL^s!Zd4G3^&eRVGvGn@}V{AISkwOgFKo^XFl{+ked67IfBjIZDr4B@Z;|hCLA0
z6XJ<qJP6VUt>KjtIooWq*!A#F<Uc$$Jw&t$^9}LbkI?LreLmiFIu)B~=z4jxnP=Vv
zFFV!UELYHzHp-vBlBgqbi%j*K!iPYhw;s_}Xq}$TVeRj2m1Cg5n){e@+-Mtj7Id7x
zWjps%u;Rk4<~G7ll7#3zcFGG)&P%ltebA?*Uh6aYpux!r^iiowo?KaPxLZE_&$JeM
z|DD!;|Ep;_%8rzc=CdYvsXVY?J^v8zNYN*jKx0ObSd4le_EGdxpUW9C&D`ge`X6EJ
z7_uG5u=gA?odA8<ab76U=GeEK;IRu@$XCRd@>G-FR0g|m*Gaab%-64-mfM=J;aR!9
z2_bql4M>1pUlFsG7kKlFss%@E{OpS?LO)egQ#s207VWr%?p=LDjnPY7=AKQep_)BQ
zy23pJ9jBkVDo-+5EA~NU)wfw3dRl?}vzd79hTQg*hEHE-Nf0$9HnS8V<g7yxvwflA
zGax<QKk=M1TSvjKWjg3kN4*~3?@a}zO*5{a{+0U$+U%F(7WYfgV#dbZW;a66Z8u?g
zAi%-8|6N`)k$7efwC1<><Oi?N1UgO+ejr0n93HErzIKVwfl?<brn9vA5jPInZ2X5m
zxp6^@#@jvS#syu_2m-_Vihub-zxy|DD}&L%OVw9AmDk85|BkJ@;)bmO-%OOGD=#ql
zCx4e>oOu=CnfFd!7;89S!{QNz?Dex0uyCQ}E6x!>VjGiWfpiEuuLy$mP=2tjXAyLZ
zD{X<(VX<Ie3ik4Ss$IuAm5~j4#dqFzeWGfCFbRHiu40F=FiYoug)r`{-@F6#2VRy&
zW|lT?sDsuH%X72J=tEXJTl1n6wbZvbP3(de*ElUOqoT$;d+c_7kiR9|ES`83#bMIZ
z4O)*2wm|C{jc-)!x_^iz&CHtC#%?Fr8Hf0Nl>BABzBH+eB|tw_%yQ8zl2{vB?W-`$
zDhq8qhOLJCoGe;;+$%=^AliZ@s`sU5M}1Smf+YeSr#C5OnPRZ?Z(}Slo19CR%UW8Q
zFsZzymI<M5ugK(=<~gi*ZiuGPk7;~ZiRD%RO$A#J$E^rjtW2A#7C4E5&g+YL>eLML
zl=+=cQQh|q3oLZg#ppEdN8)H-b=*V^Sn5#-<!f-opiK$uUy~~a9jBkKWf@_zgfbL$
z@^8ZElj>MtdiH({$$j;%%0+$~J(9boKG&PNO9`TakFCY@9~*GJ;G1q*`$m=wlV(4I
z;Ac3rxOYm@ypKGK+vF`?Tu}rHr-+9eM{Unw8;@;bIbv{i?DF$6^$3Tm#}!$1`l2O<
zIH`o^%vik@cLlUL#E}Wy6+w$lbiK7@m`StN)d#n=oHS{V!ez-2KXgNL+d}uGx3f%_
zspdFqD&NGVBM@#iH*82pZVR;8R>ya_EkTR64tL_V1kGkdhdkrJ@_Q_tZCv7ok=z|!
zKN1IzduVq{FwUfLaPGwlZ|h-6HR=3l*{at_vg|VH{qM+j-7DGhn@J~L##Zp{gA=Jy
z{^}s`eNzhgLf+S0hfRI4+Sgl;>(62?TDsF0=G4RSr=^+L1)T<3zBJjf;a0m|XOP85
zHnOwz)su!;9-I8-!6@E+ip7hzT=#L%-8H_rX<UFhmZn<vnt9Tu!TyUTV%Pe5=~=@p
zI1X~-dfEufXtUzGGq6KnjIzK77X9KL>)*X+Szz+TcKl$RWxh<U-^G^cHPNzKI!0$h
z<x+b2Nmv39$*a^#djE9HKZyCO<XHWDhGnQEAG1(auvdtVe(q;hUO8(hJ^IAAB;|MY
zx9VNqx18qW+z*vdz2S7rJrH{QOp8NC;@OMHTd>UHr6;*9e{!})6XZ}mH52;*#KEoh
zP%8SHPgUx*-q)%hpKH0wd4{z@o&#AHne#Xwc!lcUEwJ2Yj{iml57ph4NaD#LOh$kn
zz7YN5UIx6dhZHhxlsDXB)5FLzS*Fh%5OrMej;1>S9w}e_Axj=;Q}TXT%#tT)!&EG_
z;Or>qwr-0*HMotEQ5$^&bf4vxbtXp`t5Yj1J7g-e72YXsjf;`@D#+y3LvT?=2xjyu
z7EI9QPTsTHGRmY|$6))kSZn#rr1>bK7hh-j+oZ+zs=UGCFN^Xz3?>fdsH&JgZi~fg
zre<xms0O40wq3c~Fx6&*e|oEW-VTe+<YRw2Y1vj7`N$(s8+Ye>1?Z(dv%v4*{^`$l
zS$xf$&|qfHf-Sy9^u)cEvu2%n6JVfg@3-7C=@r3fvq2v37BR>JI5knX<ItyBhb?v*
z-`*Oik2r)idf6pHmx}7WKDXcuC&~z8yy-670d&rfvWhx<X!E<)0Dam~%f46Y)lsjf
z9no&m7lri8cKt&gUUaKFifbn=EzAK$J%GK>DhVg`dA=o_yi?Gv3TG_ajoS5l`Ic&C
zPH}FldyZ|f=$tsnjz7<qQqW=&QAr8P|H9Wn8E>JXhu>fq7;JGsy8NxBgppnMyKKSP
zO_UVJ=2$n*5J^`pVMb!kujtaB`Id6D`Mhrt!bAt?*9t6k%pxoz)bFMxm=>p_$6bH0
ztnswN9xsGL)uVs1Aj%_JfP^?{-%j81IrY%1sXtr35V?!#sKS&Ng1k6s$V~`A+)Qh<
zzV9~+4nCqZiw~|au?)=4iE)^tJ9paxm)*z$w@JrJ{ch56kT70ORX=c_T@TKrV}{_k
zi2M*Kv$1ra04L48is8Na$a2b4oW)G^rT#9@=)3%7scV$h*Z$3>MO1Vp8*OAhwZH{@
zS@9Ct5lx9}F)@8!6m~Is5e!8=$@+$w6AR#^TYG&=Q(QhG7HQ`!Vfqz|^^#GsnE#*l
z`c|U+Foz!kG3a1~Vugkm&G0##&Md$hi5gz6cqhB{E3*bZ#+<oeWI-?_!eOI=9jIoS
zxAlgnnmyPQXr-yK=Po&{g`(eBR`t_PYX!5n8MQGZqAivOJu$%A&g8Jb6E>Pkr$eko
zsPiEV`$iG#YO@KJJ31C(EkO-i2KX8S`61W}Tf_s=^Fpi>jEeL&#jW{fDz-Udg<_;a
zZo5ZX6_XYdK0ext_@ChO2GX&C;Ft><Aq7=m5@VH&{NgYtW}$vKtb1C&08_s_E@S<d
zeCgN9S)Z8opkq!FWwNeWOY3nJtv$>h#Bn%lcV+8r3(crvNi|*|y!H~O2Th8##ON)n
zTA|A$t6EH5KC_w?x*T+z{^$+sNR#zay64um;+G27!Xe&W-8$c7CoY5}&!}yMbH2_J
ztS_%=g`wp-bu39)*{I(C5Mmg4b*<REqB+FGupCaTJ?bo_M>eqjYF77R28P9n<o~&^
zDOZCU@l=R{g{r{FGxT#`hYn2wB`ersAB)o8?XZOC8=6?ZHaTbZK>aRiW<?}e<a{Zh
zB75X+OOzhc(uxfx*wAZcH&~Aw>ZMhJHP2wbTr?DpqQw1{2)%zBD;y<Jn3qOxm}o_W
zLD0e;wQg_4J{Pp7mr(>=9;UDEU_Ia|$)Uu=Ok-Z6ghJP$(4iv>D<V`>hVC7M9Upfb
zyXAam>mE;OZa25<>+SCAZbg71>joV2myfRQCs_wm?r$FNd~z=q1kk1+97twC5VSDr
zmHSw6!VvW4?U={o@cm^$>(~2P+Z&MP=~z0SQPze+VdyIcTA}T@kiKe=wXvB=9QR)g
zu~s!{oQ+kzWtz32S>KZ3RviCDDMXE$o4Ig;QT3khS-+F%bQU7Q;!zDmI)=`Uvo@y&
zA9}*V^~Uo^KnLmwY;`f95%9e^kwuzW!rlvotxrt1UN94d2JxK<$;;mf`;=P&)=(S)
z_D<$~kAlSrBCL`pPf=kk9!<5vSQyoMq*^bSW`#!}x&eX4kxcMecy-t@%$=ZxYmU{%
z4TGQ!D|E&;hN4P)l;Os?EW&~<MEHX&7GXiN2<y<XMNL}BtmxcJqmZ!Bia<!o6F5TP
zJ>3Y(zvwwa99+aR1=?Km7a#DN3tFuCki}N`TY?tG=*zN>5_IHmNZcDstxHYL%UuL^
zG}S-r3-65$d$r}<Zt0d#Kc0tsHL2}KSgV@tET)II=OgX`XtM{8Kjt0?TJ)g*YU^}^
z)?ch))xj*i(mE?*ssb+AVC`%`!pTk5eK%VXoffQqxz;8o-1n*V9WxhVOR8RehqZ&r
zg2Z~@!(G;!GG)%e2?<XN$I^j$=FOD;>pt!#=*oJz1KdME(<jZzvyL@s5v}8$tH&O)
zB0?`Ri4`mNxiwlgXg09~6RXng^S*cmdcil0{8|R!$5MIDwjJd;8`I5_DqeNsIb%uM
zbplg%ua{@aN`Jw90c}oMpD(#Xf)-PD_M~;VNeh3o`)TVp2F><bPsq0xmyPTz-h}X^
ze`STkA&Lu^eB;+v9JrZg4X48_!Ac1>e0f#BdC}@;(yY*p-7u$yqn2TvdtYKTZPdmN
z^U^mQQFN~ye5Dyzc#jB<(C^IAVYW1xe#^y-d){l}>mJuJ-i*&Zb07VK6^8)O=7gvG
zXvJNtpzrpDUH$tf*4Tn(JERx<Y{k6^(>s6V+66~g;ElJe_syKbpsBxF{b<Q$-w=wr
zfw{kZ2Tzklc0KPN+ip>kZw5%@Tzthh$jIsSz>0H+U}K8C^vi!(;YA8s7~a4?ts^aT
zCm8ogo`<K^DgFtDRZ!Fxqc45JE0|FXmv4DbSwR8D=`EgH#~Z1HU99R?URdu)6c=VI
zM_J$bR@S3s8w@0uB37VAp9Ck#Y9rYFz1ZM*eI_2ZRv=Ps&B^Z&#&u7%AqWj<3QQv}
z8w5tsLSVLd+aSS$7S}X9SUu5Ui<IfcZI}$t>)4U>_^!uVO!Tv12%rP?75+910Wc_M
zjV)X+A85lcm_x$*-&e#IFVo@zT*-N!)V@iJilTG5*FE=g))1}@wAsVPq1;13iyr0{
zvmt^bXn3SJ_l4Qu<|f?p+z#Mz?pO-FkK2Lykz5m?8N50Z#We|9gf{Axu#GWk4)W=z
zOWF_=sWu&lT+fr<;q-Jm!eG`iTvNCkp^LO?)=<51S*{7RDTcY_Z10)0u<Z>i*viW^
zEdpyU9s*yjWa~vkBC*`PE88HzfM$4QZ50~=Xo5x@!cIMh+Z^QI#1TYw?TAebinA>?
z+0ic$i-@Xfv&csFhL;elsPl#m!X}D~A@rzjLy$z!e62y>G_ggK-w(d{qRvfd>O(bc
zIHL+S$5g2MhiEOgjV+XhR0_1~XKLFnnQX3|P<u2*#|1j+ukE$~U9M+?5Q@?p%OG?a
zvESy%X$~up^`mbwy=?;<l!M@M6qYhhyyS*a+J01UsF4lZUSts$DCk`oDu@g8qT+kO
z{^>2-w<deVI$IEBwRBW93YKYVyJ~Vc%&12+x5b!kot}f7VhHK+fdTrwmNwXL(FAUM
z%29r@!%BJYITX4!22Jcru;H{J*m2EddroD=p`$Piut-C6IVk66-?DW41TqJ=v%$X;
z3=UA~ciP+F!4=X3I-1hT1={rJj)m1`+(m!#+Bon7*W*w}<4!hQ3WzcdHE%ohN<x|Z
zK{%IJ%0|$jTbI|G5LN0Ox_OpC#~2WkC@ij{xM#f^;_EoZ`Z_P!O6f<EZHO})ISbcr
zb32EV5=JQj`j35V(8YrN+R9_@QXRhfy_CYK_pD4bb8M89=J2My-(x5x2mHrSM4q^J
zFu(p&k*AK!hKoGWOk79Er+ct%m)WdGyz%q#?>M~m2}27-ab5}B9P~)D{qjmq9UEbw
zS(9Hk)KoCihESfUIpYq5@7M%esD5g+4d%>fE*Nq5ePe70rwAJHz934x1IMjmCtHYq
zf1C{gkiwjVoT2))35BB;5lAekgUbZqyQ+b9!lVS~YI@-cMRWYVAfr$SM0D`>6x(p4
zpE{a6Z?+*W5qi$B!J3LT#XZFASvEwV1fBOGwpYa*TO{Rm!DL*XZTsFRsY9M&a*ZMI
z{Q&BBP~L2q2fr-al~<}KR3Axk-LS$T6|usN7uaxW5CtP2ARd~bDn>!d_&HF~>u1~G
zHx@Roqw!}Z?Ga2fdsdv{OIHI><-|p=3C&ul3$tsij0no;Wf2=4SZq`DWlL=ESwu4;
zSXz6zt*nI_Zp6hKOveOD+w8gEO8b~~D(K4k=2fgt0ZnxpzJ`sEpy7rTA^e<qIjUpF
zRq!8cSsw}x!b?T))jmf>{n|R7J&}mhNL@M;8|c)-H}WPDiFXk+(ET^t;B^VQ-fuXe
z7Cb}eQE~ZK)Z_A8mPwIEn3jxBZ3tE|t)t==CiK#6eaxERFRFB5kF7DQKvT&**u_dt
z6oR|=rkPV5bD%JB>=E_jYEsq5<k@f!Bj|cXaTNICP+=c&_)zI$1uS9KU%u50<@L@H
z)-oddra^Fa>K|h(BWS*#)S+>UnY1`hCwy&tGsoqy>9@YL;S4S^7BYn5A}Fo^J?gX#
zz7DhD6nar&jN&b3Mz4}zIETW&8($6m5p(uZgN^u#_eWvfIvRzL3;N|4M47lmXp)-~
z(BP2^tVu+kf7F|i1h3)2MH`$r!S>sLrTg|f8y;E-TCDF&t(J0y1=Pq1Ux2V+ZwiHG
z>|MH6xSm*wx-S))4uyuT`i~wYUbEr#MWHTx@&k+Vx;rYn-{na98E(pfhaT}A@-vGs
z=s-Q|7j}9W8VAc_zuItRV$dAcGi>?@M-e^mH`^+cBf=z;5+H>BBOF2c(%ZbYqKt4y
zeL9&O${p@d^v!o|2;d3!YXu`|(r`@Z>HFN(QrF@1ZT!Rb9^JX=In_0LXe)vs`%T2S
z20yZOGoaDUKmWAh{L3s3WvXI3>sgO&Ps~K#0z9LzkWXwlvWlF%cXaHXV3X#XsvS<H
zhD^=-d+rd$VI1FL8cY!b;5@aoD3~cg(+!(xRj}IyE!?n2Hf5Mev*OaBxUdTa|D~yl
z9^(ilsQcpjaxVp%T(CV(ih~5Z!EIk}W2bEQQDAnAJUw6sz>d^&eHFw_{;MGDK$w2P
zPuXv>g)6lwfM5D?cAYPs4M@T|k{`aI<$uT5CZt98FREn7^nQI@OTy(IN3)xFZX=f#
z<Dr9wb6;G6kT5i6zeTtLmr>B-s0hyu!x--<t$Rl*TTG5;2gTE}={8^8KU%qIa_|aA
zrL}J=@oYe>=oTCf;bRRiso<Fb*UOt($7aR}Pc$RmFtArfaj^>il)^+ui2h|61zSz9
zMI=qs2t!j;|Ert=e?oA$7dmti&U%7oSAJ(@1&$_@9-V=||MYX9x1JQMU}uSZLPLwT
zUYe98@d|dVV2c<aR0;y8OzSv-9>%+bcVQ~<CASc|SyO3Fd-1(6y<;sUNTTjt@h0Pg
z+DaV(F^wG7l<F!|Wh%Z6M-$KY;Yv_g1C;dJj$85>4R`^z?DPb(jx=Q110APVYpg*0
z1xp+V^WIVr;}x{Hc8(sQ*l2^Lh#wV9ML;{z%jr$ct75ZVZ^FVQGKzh(#!>{A&79|X
zQ$^9QG-GKvRvpJ!d?l|hHK@&p*W*f%-m#V9kI+qR*}R)xkieY*ZHUCqHu!Z-LFyCQ
zDw|DMx1DmslZkJk>b#@;Xwu@^t7b<9UV*4Y+~id0R7fK}t&-m$1)ZM`D^RlwPd(?<
z@nj6nR$(DRAwNC3hjPhG6!%DB$q?gvK2CosHX3J#rb!AMFj0otI@q^OT3lYBV}5#E
zALW{vDB=y}Qk0(zT94|lTsK*`pR?;>0}Gquj_T+rN8WfgUUods*J-1#yW-$lY6xou
z!OmX-=P9(C;-tsE&Tu_8Re`}39DdVCA>A<I7EY(HUS*i_t;yjf)v=_HOd78n5t$jK
z{9w|Uk)nF-_mo*O=~JM{;uN0-bRq|b(3ayMOqo-m$aaoXaCQSU&u&k~vjj1%XH4YD
z5iGv-rbm8G{B^Dm;X|dTv$_%-_H(JazcZXlHOEW2DU-S1f+O6iELl~kuD>%_&zP#<
zT0?MfBkiQ8eokjjkW<m;OjB@+!3-S?Pif%~|2ab`Mq2`$cFO6c2Iy9|f*7UIEZ>&j
zo~^uRlq7MDKX$J2!sH7-ZFQF7uu%237`k|<Qzlz+QJF-HdV4l+AwW}o|Gto=R?tFy
z_aX()H3Tgj;#-SY0Wqz^%YAOL*vHhrS)$-pL}bN794B2_g7^2)%XzRyB72o$8o-I*
z5fernptoMBz`Py&2AV<G7JPd(hB~gox-7p4^>A<%uM42LF3K8Zl1Yn~0!!B_xP}t^
z{D=5P=cYZ#dF^whihgdLg4h9bbU62C%}m01_uj0)*)>?X3NHLbc`=MHK7E;$57}$?
zs3Ei>1S|gRG<y4Ry8@5M$Ua1kVh)}X_EJOi09`?-Qq-BTOUbj)BLxuxd;@nbT|-<(
zPu|Z{o$igOj(CN+`~Xii=s4Z?pfb^9iFYe^^OX?dzp+DCKgV5u8$58)pB+*bnR)Ou
zMb$TduAG*sSxIOjM4swW+2fe8JEaj;fI5nSl`oCGCK@_>f*TUFh_N*IQW<5^i0JxK
zm0YNTf?#I}YKxaPdeKwLe3LDrQ+cNq#GFNO@pu=VJ0X+nhA}wtE#h)C<ZHB^de`&l
z{M)Y;I3}P?dl-H}Nsy>?QMo$#x5VDN@{KZ*;C965qb~CD0-DRa`&;fD(>fdgC_e$K
zTv6bYh+G+KG3)-3&Jap3sz&SUuPM9D@?!Z<T@MP)S>f=fO`%wmL*FYnHi>c^5zs&U
zLGd!{L6z0%#gFiY{UhM!DK`{&ts-aER!<B5Tv7KR2z%9E*enRPc%*jhdQhZjrtM7_
zk|8A^W6gh6_Ly04%(K(nr4Sr+G?KDQf!+I-g6nEg0|r)>)~$q1Y1SH?hj)~PuXK{o
z$tY$!_56EEN3)D@mae68m1Xb>uEzuAh*{>@9PBG0G0Y)we5paSGlG`YLFEe{DhOa2
z&9b}}=E+%wW4-A3x<3`XwiH>!=J@-ua^EcSvem?rP+f6Pl{F?uyo9^^Ou==jDCtph
zQS@}R!+Xaj75b}?p<~;7Xhb$}hgQlNpf9$nxJ)v-#?ce(JacrVRrR5#9eyL%%u5|-
zp-Ewobv$94Ne7}mA>+%wDmE2pQ`U?7sgQL+3t6A(uR@#zy<!i(W{%+_%2!l%>WP8s
zCnkrFkQCX|m|Ma2(-VSJ*g7t#<Mf7uqNqcJ^fT&V1X=4HCF#Oe%<$)-Dr8Ks`38Vq
z{0U9ZVn|t`_(PZ1uEU<?|9~BQzqpE%n8^4aEecuGA&an+A`fmsRQ*My3c(jNJgS%d
z_ahcO9qY#@2Oj>5S`dTub!ySVG5S%ja!yr;^d*>8@D%8n0<487^Y8vT^{8?x4#0xV
z$4Py01<ynf&S!X2w+-`@mg}fQ1;sJ?pDU?|32}BEKIT=kV&U5I9^pA~(w?mjobx&R
z=y(;%{@W9H283_&H>R97)aDd@*7FQVev_9Iw7HxOtMhU)t!LFxp_T+o+-B6SrQ(uZ
z(0tq`(OO&uXKfvFf5PO5R}NUOgEAGkJSQ0Z-oPwcKM2;ZM<Z?y(6oMw8*_7l7S_+}
zZFQJQr!D8rQxTisKob?`g{yxdB%Qd;s{!3zj;~aCegq+uMmEQYwme3Jx}Z7N4rtaM
z*^+A)w5UC^l{(bJXUipICf{52(d)KWVV(v(^hCY!n+h|j#v|0(J(24KH0%7Z9oH#n
zQK$VKHO-`9gpKX4<L|7&4WIHcuII$hC*bE822<Qx&oxs)C$1B;Iq8vIxK2TfJ(Ss1
z9c$7a`416)tBndiRm$jT-BqYBkzK@Mcq7RMjYCPK$eEMlD5}Fs;(_C5=Wvq3FF=f?
zTjxC|sgixwV2SBCy?+W%IiPuNh2{tme+MpY4?=0h`m0MlT>gs1nE@)kcOr5Nw;l>I
zQqLHq;)unG;^zMJPQ|DJ=}y|c4rXEY5EZ((u$YcwI4J$QL{ywJhz3uF+}ek$@FheE
z@q`2oN7B7`r=RW~sctg6gzZ(D6a8~)Ijyw+B(9Y2?nB`vqg5O}L}AY^jqv0PqF(cn
z<=hw*W{k7wxS7GBN8}c_Ty-X@2p$L)&SsDc!4fwS^(L#!JmcW=lKp*kf`vYAi97Ru
z|ENZHN^0Y|IA1Z7mmIXY<X30$k_%cadBSWJZl9pVpzufd!s+~0*vXhV>IWXqJ`5L}
z2ugj!>1zx%b{_9NQSizEldUJrS7FFSB9vHZ9cBJDX?_sEE>@&b(Uxq?#es$DWQ1m>
z;nauQ<mogC5Acjvf?Yn~Zi6<vO&@Z%1ueR5Tf)*WXmP^{6MWXBMQ9AVEQAuPJ4?~C
z0chy(a#lt=A9%Kz=eI=$)8s#}*V=xJ)?{BR9h@gu)aR^1TllH0$>nUZ`jge_NM`B7
z)~bJqJa=o^Lv^TMXqqQ=`I2*^no0Q$J$5Q-6Zagn+4H5Fx#xlwJ@?5)g$6BN)-Bq~
zx>WF4>*~<Dhh=(L4ReCuIBAfhL&=<O;F*`fI@b=`tbP4wT)Ut}?V-EX(FUz!IdRRy
zEFHTOH(~-}txA{>E0kqGzSS#DXO60&`rXe}yyg@YzO)(ev`golz%QxvJmWBzUpc1k
zH1n~NCMf9;imvS}ZS10wCwRj5kTn&*&oYLVF0#hxOHOj%>n--&S$=nl`wluzZ+?aq
zk6_`kgsOj+ufo+AG`i+XU*tQ=zj7)na!$pmNU%j9>*?3(5t&A}_UL_l(Jz$}+Cc9g
zzR3Cp&~!TO->KtF+T+J4w6PB4WXmnc$@xp_Hj~Y#F>PlLTt3uuIw<N7?1*z$)VU@%
zzns;+cHA{w>WI48M<V!0inh0hlS`DOxl`d`fA_tLlY)_j-J6sj)vYpBPJmH-`O7rR
ze^!T5UOSIvjQ@qF3ADMysW*9=1TB{M%C9_Eg2oE^iWXOV?I=o{FR5kqyjv<_OFddb
z^@iS6CsAB0oXvLM6*Ae{^F5Hi?g^P}4K3X7cXc?#k6El}s7!rl6&<5pVJ325kmjyK
zK;$aEPbC{USu%8ZKcCC=I0mN!&+q6Az;{+~{`vd~H<wWkX9967k)LsMpyTwk=e%zP
ziyx@!k6)-IW%_X$q}?ss2hr)}i1rk-*s*9sKSFe;r`0}Pz(5j$@yupN!~?8AioJs9
z!wc08gC}UA2P%5o%bGNtIlDgCVTaxne7ts1>Cq)eS-qv7eXCiCh}j`A-uTwry8(8*
z85h}wm1)}8Sy}H{#QwHXhrT`7zR$zwD2_YCj$nw$FJcxquE6>&E@p>ADH28XB5_@q
z-EDS61iX4h+Hc78_CpLDzcbW=o|mxWfrRW40{r9&PoeA)f=^1>c?y{pLQu4{eVRe*
zxRMCOLj|z(v*qmd4anc7QuT5b?JZ5#`<3l~$n>BAF2y~+W;C8s-@?8Sud*}axjoQk
zOzVrP+#YDNy_#>>Cz`Z4DxQARj;N8~3lCSRZLdd>mthCRw+AcM<auPa4m*fLWL79g
zRr#mG@RLa~lw1#^&5Q7O1*ht9>!1Vmd-d&I3}_5=Y(x8ClNK*5pEu$a5Lr*XWxr=a
zJm|2<B9(B^wd=Q<*>#x)e1k^u!%QWpS}U{{d&$$@@>VQhpv}?!m|!1o(hV-)dVXvh
zJDhF7UtvYSBPr4Tmr1h}>1pllR$1_c-w{2;j!oYJ9%F6?`v8MMu;_OBYna_vZ_vpO
zpF`A^?u#2ePNcgxajLkx2JxeQUF?YG2{v}1oqT&6Y<wlNtKCNanaDG(n;o8k$b*MA
z=s*uULK%e}By`X>=N4kel?LL4T!&uv<*(GJqei2<#q<h&?YPzv1;rb$+*Nib3gWra
z6C6?xbU<56`q^8VS$GfZ9B9X_oG2l_vHG{mjwf(Ti?>7=JH7>N^n~repTjU0{%xF5
zRM5t0*0?Oy-q6US-y2pq5V0RIlX#%r)``clJQqPD?fcEf#CzM{M%i)f6t&|z#hkjt
zb_fZGf$C%IOU&%zA=BV-_7^6Nx0+^WkUhef#k>i2Xk)HT#~#Fe=IFAp-=5#=s+Kbq
zLUOf&$B+-6%0da+V`|^$Eg@*b)K0g<ln7cJpEk^}Bcdy4=w+2|?!wSk{Nbob8Hw;1
z9?!Dl@F>{g%oKaX!%i4t57A3x+WBen|FQMmfi++6|GhWKP40M~n;0=es4XJ)CRVFr
zma4r|Ttbv8ir8F&sPWih?^(R<S+!ROtr@g-mJU_K@AaJXzBjp_@9&>`?laDF_Bqda
z&Uv2)sp+u2T!rQNW2|9#JnS1f+$^w!etRzGrfUoir&6Zb3hRaD1=W*qls<ia&;&(-
z4L^`dFAA!ycU>5?Tj6wQ@;G*rF>~bWA4i28{cF<_ZWiXzXDti52KGEK;K*k$@L<^}
zs*@K699J@D0e_7h$;MS&Arh85lF&7r4+-=4c{=(Q=4uJ!9!L;%K7$goi(=aO8H}e<
zZ*d@oR>v+_^1$2^q~G1hnN>2oS*>(-TTo%Tygn#r2OYeHyOT<X@B5tD7If2)Ax%FA
zcLc#aDe2O7@!PJTeYhQ59ry1xo2pTjy=dmzH9dQxm3z5VfGg;C_Hlvm*O(S!_VXkw
zVXiqHE&7*&bxe9#XCw(4h|w`qJ{Ohgcp7e7s6l%)=ocfpJm!%@13V4YIQ!{1FDp`n
z9Me&!f*u*{@}veG1oOJ2Uu_K2Z<jMcM_@#0kG&lpiwmQ*=TVL_9X#a-zQA)DU?cON
zT?`syz_9b@qT8J?KiMt^!Ez;;-Zxdq2pU@lH&{wt4Z=oAQgHqt*&P&6-<nrn|0A!K
zl7f>8bU%L_&n^28Y9;*~v`|rWOq-}0$;2jk+E&OKN^`RCt<vaUc}PnN27eGGzYNN|
zV5KcgpM2As7pMYZ)FuE|pXJHS^xHuPjVN-??{YT?rw>X5e-hLwB`Dp1<s>pV%WCIr
z*(s_Uwqx<*h0xs(c+!<|_*g?9@;fgU5=LIb^x2PseluWMJu>?CK**@*#D}E2p9H~}
zCfVh}zBvTtaRzA?edV(t7*!-iW_xfDvfVT{$9cg^lcY$IQC2OlzA=qQmPF!s3T<P>
z9V<N}=!${lI?+)lZwy$f9dp{CK*2pkC>3dfn=e(b;<)PNU!LmHkuDTZDU;PR{ocPk
zze||Q24j#7?@!o~ui)aySJWF`U?drfl8vGoqQj=xwW4~hcRcze1?wD|){c9VL$ZP_
zdYkt_P{1X{Qx@lf1T5dKGSD-InXEn~<;v50_*rk{j3R4vnFdOHfc2I^kz48vhs|iO
ztIf3hbT|^3ToY*3Jz2?X4Wpw`wosfATRq)X*7fq<!b+bvWOlpNXayZ>DlEM+tGs3`
ztmP4|)vy)Ue{))MHl&V*^z<d}TZFz9svpg5#eRZC=;-`VY@{@K9EN@qO7$Dq3h6iU
z`DUh7Lt8=pRsrh)gIyj)q2IqSU~g}yp0UDChaypNe}q}F2uSIwrDAcsl~UCDvw`$2
z0OAGGj#wO6Zu<mf4k&Jg0Z!%;1M#jA1?O>rdXrLCtR75~3dynd=sykmVUmrmA7Ilv
zm9cvIx?C2+8lZ|m4p&2eS~+V~qXOj#-p>(M%v&;(a=^DPWyOrvAE!8abIcS^Bdw}y
z<Wa9tq(xZ+{itDUELV8CvMkN2YHdbwZE-duHOtpkt(ac{SI}!zw_<+9Ut@||R|C(`
z7%)GVAiF&~rl%|Yan^##DwjU87T(TOJklr`(;G$e@I>gCyI}H^BE5Czp*nQTU$9Xy
zRfqb3-LU%GkSkCA#l(tR_wq01Ll|TDFL@eXCKRIU&8(-5EO^?~##sp2u&X(G-gi%-
zMBu5;I69u;(H(ZRv|=&_Y?Sn$R@U(zm`^ZKQtZ+sU9QPA#)^jq3TXwX^(<>i{lTYJ
z98oY?>R4z_n588*F46?i;%<1o^HP%4_@b!A=R6i9nRPn7Vkax^t4UZ+^5X|$JDS`X
zt7-p*n6=k-;nC=orbF6dgPkXVd2M=PcK8r;{P;L*e4G7?Gvg^et=o(!(nf(s_*O;H
z)B9SnYDsBw)k^!qx>S)oJrVX`mbP=hwUqwH04uBp%&p_<(>fzr?<DR?TU&U_T0mbr
z7|+5Q8RZ+o1LCbqj2PZ&#1o^C-h7x9=an)e@`ePeG>o==Bg!uvgif3Al@*Jvq<V*d
zC$5b$z7&EWAVkkU(h7^B<iomdqa|akg(&GaYfZiSXlpYiL5G_DpTPuOEr`bM=VcLv
z)Q^wzlwMtHm_ET;%%48php~azTWe73sTdo{-+RW!p{YDJ02?ai>uEedBrH|Ter{`m
z0i&masjOC+61JleTg|j?Q54-i%UZ##B6&s#s{AVvrJh7sH-`s5%hZ$RT5B7e+4<gC
zMk`NUJ6Q|s_2%;=B2!m2IM-TV_8T4j29u(sKt@v<ztdV?zp=;)6Hnj(kI}{RC~YJ?
zU5ZlvGXUn7&z4znI*7l9`DM{^YYP)i{SOzM@MvunJpK#L?QcD|oL;Wv`T$%(k6Oi5
zfxr0PY_)Z<`b+Y1iySQDD`1+~8L5Tp{nqlFDmiPex85*QAv3I^cnS9_iuCuGLGx{9
z$$*WT{%i}22OOoJ+G_pUAbA$w+!S3A?|nF<v|Ku>8*7k^=^1>vvdMI{h*n7Uuq`{e
zIu^`Cb>Ohz7`YNr{wjMoS^PCr=AnBzS%&rF`>bmW63+FkIy#XPhpkLne$e{dOtX4H
zlsrSlYrVtC-5c^29A$a<YsmZQ7|WBeRKXjbuwqZ5==}T*Gy^*&-xRq?3>Bez&?#QG
zCAsy-xMzF!dn-<sKc5&hf}a4cLZ6*QbIfsjD(%EsP7Sb8Y46W*Y7&;+GwuS<Y7)jK
zBZwA_K_5-}MpU3rhM|vkykx~5gvom0E7k{QI#|HiRCt~lj-=H;BE|UyvAYmIaboxj
zh2>{!XZ2UTU2yOh>sSNE;Y^U;<_3>HW~DZSTN<)M1dqWO?oka297eN7sRykQ`q|&O
zO-4-ibWwb)P>1f{Mv|XQL2b6Y!%5<=QJXXGa`_}IYxDIzD>gI|mak%9+QTP<!!fet
zT=Dq66~;nIo~`>E*#NnsO1#+bocQAZ@R0-zA79c=;aMFPJmz!(8}<6r6HXVf`r4x5
zGwTq83?(7gyyMXhJ>|I-dz#iOU^v9v%Oz-38VWIEoyT1CN18Q{iQ!z7b-`9dFPp&<
zB`jNtGOZ&NtV0VeX{Pn}Aqj6cm!VsKLsHLFkED<P;k*Gh@;2oaOOmjZ^yj};81N*l
z^yVf|a<Lo039CeUX69o0xVNkiN~AQJKudq+k>p+NuZ|P>DHS`4y<2QhIwZG8NyTg8
z-Yvn;X4^qU*0D%=<Y4j1g|95MP#TgFlvjUbv0>SiGUP`u8~km>vbO|;EdlO<TWz@E
zBY8Xvf#k8#oZmstZ?|DGkz_834pkLhO~Pzppax|ilD7#uwh7QJB*oA?ipdQEVS^B&
ze-dJYUMQ*A#o?`jj;+Gw|B+adlDb3F+mwcg1M=FA8)PgqvUCNRY|-QL*?ux8o_PwJ
zgr-`-g_Cew2&#ODP6fPqlGYt)0$vuJdwcg1Ckxpyr~Oav<gOv*AE?9E!fa57C0Uv(
zu%=5fRn^r*Tewdh5$dQ|_MSt>p2O4bY?9qq!iF1$Qkb+Q%PEPoO;<kBoO;JnKGmV4
zg8y%YV{1`ZpHt48>FlQ9{RLrv5uztY*q{Z;ba*>WvhjI;p<{n>)}TNOR2@dg{^FW}
z%x<9U{l&w|9%<61B89bS?s+33S2f!S71^WY$oj!+IW=rI4XNBI_SLds(<$?WUR#E+
z&nTcbu4B^;q&GWsB(F78Z(h&S$%*@>4n5t|(>aeiHg1_lOpnS`j5ik+I#&qu?XbqS
zqXs#<gT&8(^(#CU*YD&uYkE_kw$polY{TtX&S7>*5T&$^9S5#IULNY1I`O)DFWUVj
zX3b(PZFx<mESg){jzip5w&4s^+TfR;EFEomb!!_G&y=N~Xlu)FHfQ<K(6pd}WbJ6f
zE&n!XtgwyP%9LntJH^p<J%@S~)*ZC;e?m2Cvl+Ci9WZn_BA!_(s3YP-=Darz*Q1a?
zD2-i!RH8cDPRewr`{mc|U2Xq(r0J0M!W&(sJ7gA$e`P6Tx9VwYU^b-b>w9Cm;JiZy
z0VqJJi?F}^W<MDB^~Ep*t>-YvpYw$ckFOv{A!VR*#}jtf+j{eMxt|S_7baajt-tLw
zvyc16R#egM9fgU*JkWNA(fm%!!l8H`KkT^8L9I6<M!`5V7R#KQ8!|WbM!}*_LU8yg
z5W|OL$J;j)od7cKzsKoZ@G#qO&Oc|1kS#pf)dBW|BVXBmHj*z%4L(Pozw)*1B4ZMY
z+4IxFZ?Jv6GRn3c7#&&EvfE`qN3Dp`6R(fWQQ{p5wmF;*9>K}2c6kFQ+FJTijb~~#
zvr^Pl+W@jX$KmObsWz+__-m}9Z>HI>Vn|r7q66IMA_g6&X7u?2TS-DM$)#7AX<KJd
zq=E3>23s&4>x}8V=c~~Cl!oO^uRV*0nv^DA@IvfTIXY5@Ip|1=EN^S=_?0i}FF-3~
zcc>9_c`jxVI_~{tc~Y!wv+JD~@NA=`m$AZ9L1^j!uehl0SXQqt<|#<BLsBGh$I{WU
zFj98S;{y(Mu94Hp0S^CH*qTw&d>q1cUCH$nMV>>rCCOY*fTQ%F)wa<FNiJNTQdlW`
zGi(@_*4Uu7$(Vdqh-)yIDIZdFn|%3o)Dt%3l8jw~jgk(dAE6Fp>=IP5CpIP+b(okW
zk2GZlZ?@q+xfdqDRVcb`K8=noMy=1^%C#=Za!WaQyKO&S39JX(qde<_!-jC&^+D0<
zf9x?pmfp?f18isxvEOm|BrG+DpZ3^B8ZhQP8~u0ER-BGu9O+B<*`VM{PPyo|+;4kt
zz;dR4b<$Q!pLx)REwg0eQtBvW2p(wU<Z#Lsq#rtJ!||kqv+FSHBzi*jpbJ02GbHoq
z87FPnyZ`^#?-usdLWk2lS*j#>K8`$N+k$H?BXNcXKNW+h_84f6(#Y}ac^mXEz_8w5
zuys{`)dALwOSW+aEENt2!K<nLv=W3-8=`l+!X21n5)4^3z3w#|49lT?uw(S}rU>%?
z88uxo&a-Wd|CwtVuu;?7f8m;zu&n9AH@G`VSRUD+JEa(~yim3Arp<wK5RNa^1hg)`
zTwf|8_T90;9w-U09N1{nGEtSTBp{nL?%ANsPM(Hr;k=|awSIsc9ZU4&=+Fbs5nv-n
zuOD)bBrJ2(?++Vx3KHh-x9_p-PXpwQsIEP=6~WaqMAxzF{!slTdCEL0)%HCew%der
zQuzGnL$$YKt;fr~B~WSD2&)6;p)WZ(3CrZ}{b?JlV7<rR+=fir0J9G4=^P2GDLy!U
zZF_4(k}t(}f5RP2(!2WE3s87G9?Jdt9V=ZD$zK;xjaQiWM<t6~`n2~p7?{26dV<N0
z-7~{FqT|qc&K_(-2UzSqY3DxAjw;n+M?V2<*o7(u+3QF+k3QaNujxmFdSGh|A0~t7
z>KC3}v98&3<23#YY=v(Ndl&Urb*_HF_Gt><m&=afz)V=k3sCwh5w7DtD-<8bk-WuU
zFVv0`Dhb1=t?AME?GFu@wH3W?K|Ah-oGpp|4ZkTvX=N!a_r1b6b^HyXf&T;)(bp8Q
zqpl?^r}vO>dz^xGT#Wz6Aj!vASA1wMXQtJwP^22A?ENWtFFpX+S;}6@#D8-UzGMp1
z1In;G3Cp${R@VNd0po4oKs~FR{hk5KOuvn=;{@}g_b|F4lhTJvEWV)k%tFCYoL#_%
z_)jabcnM4K$1B^h6Ou4yp+LQLReQLZ{BA)UX12k!{H|x07GHxU0X8J<uE~-BN9p0U
z?c)?l-&x0w6+?2d(xqRlXUF(`J;I|m;R%G|G&$OiOFUnrHZ!8R1K_V=5UJXTI{?FY
z?#6!9Oie4Hw&cjq>2D?<-TMe4!rOTIM9jyWIl#H}_-1yOiOzqD6k#p+j+VDWI**&n
z%(wHTQ?7*_hL`<QY{p~ba8(md{;eRh;yh#PNAa!fKhUlgp7-D3!)7A2i8pQ@QS&yS
zHZ|iawS297Tw8l@+L7BhQ78XTLH($h=P`7+xe24s+CluWGDhF06YaoKd9~-cbNIh0
zMTI^COV72&G(yup1Ivh_enuK_jPoUBlrox@+I|jdy$ozzrHh;;9T7L`wI}zMPWFAK
zsrr#l_D*K%wK~9%A)V5!=?d24TZ}vF<m?7P%Z8!CWKrN!r#6l44wkQn+e^TsC8+t&
zdx`=#J5wn-#Z!tiJwc5=;;Du=z3j88-cfu<wyie^p^q^^!u8Hb(w@K(*0{dN(@8>}
z^64#N?U-)*)bzxZ8T+LlQXNnmwTK5D@=&Ax_S5uVfG1<{(o>7J4*<&`tFh8hK^LdL
z$Wx1O--FwJD?Jr>c_66e#$uV4j(o!75I1VNrvek>kezLM<H7cexH)>;)6g;}%i_V>
z{jR6AgN8!Tvc;a3sQaaT1f5yo5p?}aP>1!wJb@?Zp<xV1+|GSbcT0!c_c^4ehXc7j
z_@LYTR`W8O)zIgEWsfycmk3yYWQEHFr+&@liZn(Wz5E&?8%Cr0;5P{V2pf5pmQADV
z!MIJ+2y4TI(RLU{<lh!!>`*4;-|J&}0^+~)S%N*q^iHon-i~X9#a_XUl}xJ1Bqa6M
zE0|4oPC_cdZ86T_geZ(mQ$R>*i;Txj0pZktNFF|ka?zftASAy*6NXQ->!yqPuhZ<X
zA4g{)7m+jU{Y(_v)jo@gCxY#HSHz#4XumD}7sZ&R^P-pl>A5JzPr5Av#6F8+OwwTy
zf|UwlS4Du>PZ0ukQiK3*3^+KZ0`^S=i2V}9IHXe|K<tqS0lOnYz`lqO+++VeG5*pG
z5z=KJL<rac5%R>|hY+yqAt2fBP)tebbSTCu9S+3=NpC|jcIj#eNcJ-n6DXYw#aN_=
zAryk$3&jZOTL?6EEQIvfs}O=j_Fn^5b|?haD+<e=gkplF8zDqwA3~t91EH9P(tA)$
zsB|5KqOso~u&~o0u&~D<AlY3IWU{XyK<p?8Ib<h6K(dD*q|5Gs5WqK30*CAw2m!kV
zLhzD<8qy(9Oi}3#2>E7LKnT9&z%HEt#W<x0Ak@q*Mp~rnpP2m8?+?;tr$4BmYbpY}
z`#}!b*AF<^(GMz?z5FB~#%>04Ne4e5zGlcDu6<;{ZhZi;Pan|sau6)N`9L<i@_|tH
z<AZ>m_#j{pJ~1}wz6TN5cMr17j(Z@5z4ibpn8jbZ>xoGa(pe99*i#RP?4}10`{;=&
zARY7oV(&Z%*fkGivtJ$r?35>_iuA~X@@6uWU%KJ}js5VTgzSU|d14Pd2-y7&0`|Rw
zfF19|1SCkeI{?||4gz+#gS@e~9R%!ZC#D?x+4&%*ko2*Gl-R)zIvab}0mQC#5Rd)p
zAcu=pz#etbOb0mdlfHCNUF=8)oa{vh!QUMCEB`qF*?A6F*>eu^&2DoLu+JO}5_Xt_
zfW74)U{^T^*iQ}uc9MgDJ>(!@_c#dHHx2^!i-Ulj;vis;I0)Ds4g&UtgW%tfRLE{{
z0J0Ap1nd9@0ndpD*!2wp_IrbjveO$t?C=Hwd%HnKXVS*G_Qqy>44gXG-poA9j}}!m
zH_pQ&x7++Ou3rkk6V7$~#Jc{X+27jB!w>DjZ|$Y>@<?Nb$<@Fx1wXMEXY}{C_Hw2N
z6h041*Gu|%p1oL}pA1IZP%zr@6YEN+F`$^P(F*XH-}=!H^X%cKz4RE^1nze%_`e0<
ze}kV`+1(hGdnr(P_$M!ZVr5Tbe8)9Fb>g4S{L=+Lv9gabam{X^*7DCf{#nmI8}Jh=
z`yF%iKLFGK{&5}n0NxgnwJh2+A4NDoR}tjl7G}oPDd1UypIFyavMm6^NvgEKp07B!
z0W<XZ9SpJfiIpwTZN4iDKrb`^T^VmLWV%RG7udTeup2q}8qOu%0n0f$$+g`F+TjE3
z^nrHyK)ZdQ?|h&=KG0qdlpvGe=K&?8`#}4Bpt5Lw_$`)`dXlTW4^+Vis^|k%@`0*&
zAxzv!u4-P8p&C9=Egz_k4^+<wYTyHLXXT7?=S`BmHXGU-u4q_`5<uLS4Fb}Ap#473
z0Uzj~4|K=}s#`%N!OK>XtDX;3KL?bM<Z6%uOmap0Kn;B$9$#Dv9&br<pk+hrn<yGD
za7nHWKF~%VXj4uo!L>Oj=-T1~ZS{e^{!AsoYhjXWqz^R82O8}Ied7a-@qrQ^^-)53
zxlD3B_JN-GKu>+3XFd>5C|nmj!6eC<B^z2kQqkCxUXp8t541AD2Tb;XR{1~`$0#wp
z6eqc&e4t7`P-P#eiVsxP2Qp1U|L2_Y8lL1bPs$1T`9S_YP=F7#c$SLC>w1!Fi4U~Y
z2U_L>EuV${&&jKZJj*h~vu=`{ZnGhtZW&_dd`WWN&4zda&W3mbW{8*mBsmjjLp&vC
zLp(PpWP?08GsFr(lANWpA)c<YA)dFhA)dgqA)de)VnrfJ&g9t;rt}=Nfea;hSqJ$L
z<9wjOKF|;!DBcH}e?=w1x<-;~fe*CM2O<e2l#yyll53F<aj_57^_CLKib#^Hn-A38
z2kPMi_4I*y`9QpWp=J`K%912kGOj3I-jZCaAE*RbA3;<2K<j;=jXuz3A84x&wDh5p
z$qG!8Yq<d>C~&0@k(W-+3@@cgat+OfcoAiYwVEW?-+w5GwVEW?D<9~!5A?<dN`9o`
zUF3}m%Ig6owAKe&?*nc0fj0X<TYaGIKG04dXtx*AIQcyuP`|(2KHe0z64^+!4084T
zvQo|YF#*%&Ct8}dYuBQ3<@wmX(YTfN0tU;#!9%`|sy;u)$t>++V%k-Tk}P{x+M`-X
z-?6K?L|z(K+zw#mE(~ZxDx-PR<w3V--sDrH%xK;du`(BxY`<RFf*}n(hCSpWV9^Mc
ztKggpSe*fqOMu{}UUQYbwZGhD0(_>h3si7S1)EgByG*eBpaRZ2Al_vn;9VwydkSJ-
zw}5z)iGVkm2xh53r_6QsPfUO5b=KR1f=zeyCj0EY157)pSbltH5P8+^fWv#-O+AV)
z!=D_opEH}D()cL6yTv5BddwcC|8o@Y4V&Nl>2as*`vXk3sMt9pD!bz;t`9k9ujXg^
zg}U6dm!_+i?BV*0i)_n$G!x&_-??nBW`bH=Zn#zmZ(rG~Sxg)BzSr&l_?gz}h*8yK
zx=%^B?9WVz)anf6W~IPWad=a|eEO-|c3d$lJ6sd`z<c(uO{OdKFvXr_nxQ|qZ|@jj
zIz!`!BBSr_<E6XqkL@u5=70S3EiYh}Fr$4MwAKph)zj=Ri<s_Gk#KzAQNKlqQ}3)f
zez2Lo*HQepf#&@FdeLyldy8qdUbM6WJ|K_E!t0yMI7S7TxA^HLD>+)5P3sA@S4dB)
z;)n|{J<zjiI{xvau?<l?b3Mldv)Rv|u3felq?HXEw<xfVCTM!J<8RXhRmn#iIh^x$
zb_k`T4IRImGH6XBM~3MVIj^F$I~qH#m|p4$O&oa&nD*1<w~j*kj&6?F+-9>sl^>2G
zL=ANWm`x8Adyx@%_8!kkIrTxq91G2+Zwc8hqyt^c-<<46JC@?J6UmgE9FSZ8cC=%2
zp!p|1sz1?D)3i&Lg7CCXUVXzv#|)Eck6wAQV^5$dU4J~&k>qDuq&O}w;x`I@$}RK_
za~!kG*ovV33h8aWb#(F%<Q+G(c`CNl5kYP8<71J2OC2TEzn1$Q4!t2chMG)P{kuhu
z{$|s4IJ9@n#WqGq-mcqCyJ_1#M{WK121j0-X%#nlW%)RQ9=w~`Uvn=iM92Z&Bq)zN
z*SYpXxcv8ak7K3jvg(|Q&hIWH-N<97`+FT1OjmVCE^IPA&mkh^R&ZWDWWS@O85^jp
zmm&G+X-Ak&2OT2NG(|B2gU?{A<aO$4CmehHD6}-%Z&nm~9Vm0;=ccXCIIfvY<8^fW
zUrpu@{Pj2I9k~Nc-|1+>2(#(5UiU{wRkLZMKJ;ftIg^Q~TXl3yu15XHFAmLY5){_k
zz))(75C{Ex!!gtJMxXqv<9GnAM~~4zz3YHS%v}Cd<fWsaKIDM|Pf&b58sBG>4@W;s
z`Q3po5$sQcze1mIK6Yq!(~o-CONa0?uQA&F>059|Ees0QWB+zsGn;e!>oxy%Ebuo?
z($TN-1(<*J(;u6(?{b?`WrNbi2wVZE7>fHd7xQXM{mq$vRHU~SMpq(m7i2*}ZGwYd
zpGV>)N^7$MOh;&Ugf`T)oxX`iXJ}AC+hj6N_ah9rf-Fg1)5Bw`6}6rw(_|fUNC~s~
ztjd~xyt1~^WSXbOgJj0dG~Dm5svS0&rs=4zUrnYz_3AY>i`leQc50TXQPNo4){d{O
zk!ijf?Z7(bMMVcv^*UO-8Ll09kf@TRG{M>GjXK&FxpA^yzqPi<YPz9%uIQxQ_ouJt
zpe*mYX+`~M^liJ)%k>7<bV11l3;ezH(_WZTD5INJT(8$(!vI@MsN=$VhD*!kM^7Tr
zPQin<Dt_4eHW{kbG0oL61#L2$p6Hn08ktNB^|-Gze-q`pYA;N)MreD?hh&`=)VqDH
z)i9aeezb6;*2<Jde~i@P%uauLG*T-|_YRo?zO7@YS);Tn32Yp}{QXGH-)tNK#KsW>
zY#c!_Q3b4w0Ak|^0yd5yVB-h^HjW@*WdZ>kM-Z@a1i`;5Q2TOe8v&ASBM5#gr-*DE
z0my0u0yd5yVB-h^HjW^eNdrb}Eu^8<Etf#ITmjv30dz|vt6T2h-E#GFOK0$Ix%9c^
z%IB8mRkyURx~1cHx3sOg<)Y`7mQ}Z0^4xO8bIS$KEsd&fx!k#3zb7CwZn@gI<<{0M
z*X-%ip6Zrs`*dkdoi2^3Zn><xr73l~w4}PFA=NGIsBURSbxSL%Tl!^pOB1SFT2S3`
zo9UMJQ@1pqx}gYQzv7nGQ@1ppx~1*ZE!70Kw4A!7;nXedrfz9AbxW(MTN+K>(q`(G
z?$q7VVCt6kQnxghx}~+$EsdpaX)AS0Q>j~8O5MD>OF;6wWF730zr3k)ODm~c8cE&K
zCAwRhNZryx>Xw@;w=|EsrFGOTjiYX98+A*M=Wb~kb<2H_TiQk4(k$whR#CS!in^su
zG{G%xqHeiKa!ZS-TN*^&(jMxT8zi?hhPtIK)GbY+Zn+(DOGBtz+CkmY4C<CvP`BLk
zxTOu$Eq5+%X#sUh1E^ctKi$&&=}wU5Pq(ywx~1{cElr<pY58<Z!>3!?J>Amm>6Y6I
zw={aXrOneVO`dLP@pMarr(4=P-O_=$TUtBa(%9*iwobP+b-Jac)2$4hZn;fxOEafi
zS~=a)$my2D*ey+*ZaIkEatyoW5Oz!RrdtkRw;aE2Iegu6^t$EXb<45qmP6MqN3L7$
z0^D-kx?KgzVcfc<^6!=wO}8AgZaHM#a>TmjfOTWMb{wa*H|ex(oL0;97d;-QwM9@X
zLHp8lhqfkY-2mCfYn?4H1Hmgg6`O?j*prvxO55V2_yhzVa0^qBnVP2PixoY7xrTej
z<F%5MOqv4{!Y63m5hP5|>LNHiL2Cn*Qk$qX0Mv4#)<nhLNGVhBI{(&*S~-Q-;zbl;
zx40~+@FcA<f}WGKXauV!X`fo2a?YyJtZDFx1DCk|RCcl_KRQ*KsZ~_&Z=({lAVirv
zSsM}fo})B)O38VkPApr7o9a<hJh?cc5}h+eivjzsDOwK%b*5@PRGxlNMXWUeYd75L
z7Li3%q;ratdzw}XQEE@qT0*CuJ`Ib&Uvy!b)?9J@sN_dY*UAImb-LCB!K&$6eFQ1f
zwRV<YICHV&OhkF$*fxmb+*+WDdzVwFNSoZ6Qz7oFBwH8Z204ZX={e4vAD=eJqKX;X
zK&a-UXJ{QD``QexGlGbjS|=4ZRmEL7Q!5!LTQ}ngHLNQ_=ap(8olH{JOlTBK$d;%@
zs~CT(>I~Q6O*l9iY22Z8iP}g6MP_LuEq6HMA5g<J=ps93X}uK!pB^zHVz$-`jI(EJ
zV-VQqXw6YM9p-3l0_9#S_fxt*1#CqMqa?q5i*AtZ6jn^v0u@)N!4;OI)wRfY1(fsx
z3%NOt+6xA`mj3y{2iU;T&Lr8(OmnrifwGH~G9t&#MZbGW+vaMW6d@v;P(_Q29o}oc
zA>=9b`c~_xI#^|u(6bpx$m^Yzw0US6DZQqm$1egs`d2gF`#}X^heTh_)24IycAhp_
zb-boVdQ0bPu?o}7z!X}b#ad+Nj8Wp20Kt(>3o%M>QHO<EoJDRzJ1Tn0YK%0G15}|%
zT@>k4LVMq$ZKSosM$EKG`%Lw${@#o>Qiy>Had8nk<P!RKk@gXS28%INSJ0Tnh`oZY
zF4l$zZs6u!^_1Fti9u6t1_q6E4H_Td7fP*{Yk}a~wM6S3$ktrf#HSR#2%mw!nd0HQ
z%1%JFRg!P$QteZ)f4@}w!nBUcFGJy0(D-HAAaf#II4slpTcnWLMpl<=jTK_9LTq=S
zlZ;r7noe7;2}FIj9P)mqHY+g5WK3elD1xugJPNUdqLyhDD0nRt$oNihl5uARa&m=g
zuhc#_ZJ=*gYEvz;fNNC}AO2?V>FG-wXi2g*T9G#^a`Z#ZLKiW)QS>UU49YNI6$bEq
z+PF$<8OR5&uKiDG?or&7#HeKNlEo={wHC<5`((8?){@99CzUL;VHYOUTcb5YA*Qa;
z+FO2R`V~e0YmHV3IW4tTD{GoTZPsd)5lmXE)ek(wTtUz9H8T>ryH+a^$VP8h%2Ued
zg1Qf1hlywgeY{SqhhWM&?PCO&)@h$8wii!n#}0f?I(0qNO*k~PD|Gr(il2zsKvxI<
zk@XlYGw9uVOk*=BdV|(PvAsb9YhYWwK`W*(Sx?Csims8eL8}tTC&{h~&nUbLFi{(|
za){hzBP5=oZ#QZmS!CAj)N2R6FNJf)iV7hX?gT6yCXQN%$>$8kZNex%Lq|8EfzMFL
zX7uSZG-$KdRYeG+RmTzI(Ps4BGn8u!=Ik@neG6vZGqiP!)&SdoO5LKh=dkfstsGkc
zhHTZUS@;CNRfA0XaJ_c9z;18ZR?KI2DSfL}kC`I3VP%m_^=QRDttdW+@+*rM*Dw=F
zZ1gj__6dsLVVfUz*A4uGspvxwt?@JJ8SJ6Kn^ve2^bsZLN>FZs|E%1c%(3lSV<oV~
zGphX?GJ|xax5Hvg?zTgV;c)W~tqq57cW6x&d&g(AYAQBZ8GSGm4(~$y_h{oEK*>LN
zGSS6gh~K5*p$d356rNd4=D#}?+mFno?bO0qaPTheBPF<RcDx9ttk|VRbC|MAYoy8%
z$90Zdo45T6+p=X++-}Tf-*dB9eoo^e(d_BF(OG0_!=91$2fAA5ZND-UWq7s27aiW}
z9Px}MJn}F|$97Rac}g<Ms2L<!j9nPYifg$?Ys=Y6-h)(S8WS-N#zVx;%h<JPZ|oK6
z{eDc&k~W17972|XElxXr(F$<PlY6yV9KPGDH4Eg+4X(D&sZtB%d)iw><{6F2OZI8)
zI85KCwdAnAuC?GWQO7uv!k0Xwq;6>L$X!TS`UceYYl3;g_Ip}4*(k%EKm97uoDssv
z*BTxGMd|K-t&Ga(dfLtikB7m63cHDlo&<L60WBYkU3dVC=WM!<fWZm}RVNvJP>X}H
z>d8T^FQZ!>!qS0o?;)+b5_5=#ZpL6KdKLM+?2jjPcA}0I=_pk=ffV4!uN2HD!4|su
zJ+|G5eeSR}K(TyJLry7{k`#SW%c}~1<{4G&h{EqUf<Y~-<2>!!f>hS#^)E;jj%q=Q
z@6t1>v<$uU(J$zZ@V}Ht(qK-b#G|Tj-#x0e;uIr~X*D?PcMO`*dfIwSk+Y7e25);@
zm3sMc?PDeS!81x-fGq4Q<zIk;f5Rv^ept0#*%R7lENc7-?Gp|!oKQ&=I;qvhSnqHW
z^>~+7oz(gS-sO(_27~%PbfMXoP(!Jwv=1qM8x}Y2rr>j(f)aa|&YjY_DR%$oIeJ{r
z5JyE>p^6sxoL2JOBBji{qG<|kdrry!AO&|WM-$l(ATav0))m3>(@>D^()-g|2gMuu
zTn+IdKWH^AGJgeV=NT<pj%KT8<lUvLAGG!=Mo}ZipfgyE?$VYs+Ghw%XQ2Vf_+_4}
zsXhLzR$XDrKc~4mvYB)!xG1f-hH`#SFV8|nLu;SYCLqW>r;SE1=)Cqdg5S@>-19wk
zxS&lzaQlKbilK|zI5qN{Kd11MT9JA0+B>~dLw<kCbxG^4hFJUO-WvW`VLnHmP9X=<
zf7<w`erh7M$N|}zE_0UysWQp=Kw`UPS9?8JYbpIQ$}cH>j7mS^b>+rALD9Z2YJT4p
zEk<DmAhWEZU_3NnIX$mxJvlsiRjWhJ8yfsOU4vw4+#iK}^K}0zZ%8>+Pe*C}HElA+
zTlpU~H-f!CY7-IE{7Fl&9OcfGNcS%w^Y1D+TFDLxV&$K;SqP5*jG8@4jegOlA~^Sp
z){w`6<GR*|!=cwPei7cduGK{U55A#wK``hBY-sE0(hVrB>skEX=M;GY^%hs%QC{{t
zP{;j>#d1Ae`Bm$Spz3d0M+CEe!zOM$J^xLsf{P|aZ(;>`zydC)S$baedZox&o1Z7U
zqXp5BJ6eGG@pFovhQZpQwgVUJ%mJ|cwiSUY+GV4URk(#|QwqBFoZ4h+1?JVPr%~ZL
zj=Z$v4*JmpI(7>^nJ<C4{(4R)W?^D=rD)RkR}oNq-o{dXf)3q=>FWX6?r5>FjmO`?
zG9-oG!CcJqMfJvx!jyhTD-0vK<E|&~DaK4a_^wvne94d2-_<@bZKjO7P(L?w;huR$
z!aY>mX1a7wYeYk?qe=6mK(9SPZBwA-PM}38P>nL^I*=?T&wZ#7FDd#yHkU7H!hO`=
ze!6*IYhmGocUM6g|4^&RZcm()oUU2GGx`CB*h{+l07aENAHGn777Ai*5Wab+eTv}n
zL+xuNBZ3;f)=GH1ITcrtD!x$T^6KwUkX};YAJ{udY1L@_pZE{~4w_2Qy;oX(#a{CT
z^@>JkO#cIAc}WqEP=!e9k=8}g8@`~sjX`hbCmisy6bWL*$Iy(x^B9Ykl-&FURceEm
zwEwxUh2vZ&z#@!2kEFJIL03;;nyUCjtE~9j80DJX7Wzi3$6B~Htk;NG&m{Dcwm*@X
zc=tqWjdWT*#kNUG>Z<B2txPVbrgml$-6Ol2N-0MoVQJ_zi1|$WOr;oWuweSL(7Q~i
z+HfEx-6$z{5S021V_Qn=|AK~Q!P*f1TnkZ{fiK9^7(K4lbFFlsnfstK)r*1uhv#^E
z<z737-J{~aq=V08qrZ8MRR>+*g{<1KFR;jb%WYpVRql=HQG1+1Tr>$IozX~VCn~CR
zDwOk=)HYRXq%tr*n~<O2_rgZ0Z)5>)rFxoRs!_oDX<Ahk$qmd3yfJYx1ErPzk))Rt
zE+~W_NrO5i%R2{+$AhCtx>hqVnX?y@s&wz`vjU1p9~QJC9s2A`+K{gGRFM|EpyT_I
z)t#A`HP{;xwaoBT;G*mvB|Qz{T&koc7hQfNW$eg6Ey#pd7+DU^gth1;HP6HxAPH-;
zg;xY2B~x~TsFzwhMc-ybT>cU(kBqU?z{KOzS$6FcPOYvXwf$81Pb{<h>6<^beu4YB
zY)4+u<-=OOg?~Y--%qXn(grI0DMLchGLX>vomP#VkZGFHk7d*!c>J_v*J{o{)%*6-
z%)hln$jSc?CgJ_G<R7g+0>4*S-jL`kEPeaw-&fjTmBy_XO1;_sMu}HG&OE(lKVA4&
zi${dIueCuc!tX|=K6#_nVV^+RthWEK2+CYNGk7qC2GLs!o{y1!dw3LPvtRfRllXp$
zdV>jUKh1rk^|8pv|IpR{P$W3;v3rKB#J@I#&i)LwG3u?>O0mCHHNfM~TLV$=wEik5
z=2SIXjbDLC``=+@l(GU0bXb<G@_|{H9&z@#DGOa!4yIhG6fy^WDfqosfhi5%Lpeq`
z`#m;`59#uIFh1nAE1F6}*Wh)7VZ$BGJY{>hV1gKEdbl7}^Z{>Mlc<j~%OsO%iQukD
ze2SowS+qhh-Yh;<!>>*%jeh`rO!}XJN0>YcT|brDCSt%~rmL+m4O3~?8DIuI!w~Xt
z=bSLU<!m)E3W&{-h5q#urA*0G)L-;Kkl-(dA@~!J8d~jBsm1R|S~*zB(29V1JV10t
zP{<-;5lpa%E(q>eq=0&XqBo%AK=FkVFu+JGJV<<^FoO)tq#%)tk76lERK-#3#URlH
zL5Nkfv9S5xHJW+^V~!qg6%~QsX%$hXJ#?R;JrrUS)dTl1*EGy*FVGlq4!q~rYKkMo
zQ_*{9mQB=EOtVrcb0pS;m3A=I`yBqITJcs<3P>`t^Pyc7gXE@mPo#y}k%}wU#i?qq
zbI&fyD9o~KOb8vD<_OMCy_G|Jq?lG4DZp^UdB5urbr2NPM14iyV$g@V9R)qTT4rr~
zD#i6fwnw=g@JX!+2clilL~8_LLPR6zE<{@dJB4VhWF0YN!LDhcGcz6evolo1Dax7B
zsk>8D4dgQs*O^phpxD8LMRe1Nl1svQLr7GxD2o`KgGEb=BwVGU8k*#lQ{;x<3{4?_
zQpnP?;U=O;2s9<hdOejAnqv+6{;DHNqAlNXn$0M>E<X8Q79xs6^05%{nPR`4O1(Cs
z87t=!1wd$#OEfa$v9zRIq6V^dHkW9IASAbF8@PzYyg=4jdmW!!GyvgvZj7HrB=VqU
zuTk?nsG@7MB##&*59eKZ(<pi+R*Wy^IjVZ<;~MqIi%8dKTVC{ED_KKD>p;G^=Q5}9
zv`~P~<wXKJ7o+Mk%IC@LP&26H2%w@R@QwytZscAVDuN&+D4*zybN0A=q8*?U`9w!0
zOGsI{DQ`g(8g~PVnFIW3Sbh<wGM3*U|Ce7>Lmr|Eh;9gG7Z5`bWEBvf;kH2gf}#Om
zdR|Zvt-zN6T~U-&L^PJ(1DqZmWH%FrrO~)HsPpcHL^MZ9E+qN{$|%*-yawimOzBlv
zbmQ=NVbPVtB4MHzhZDk(a~Y$lku{ifE%Z7})KzJt{h~xAc|k#Xj<6aF4&o*jLGE|c
zvm&Ci645G+DmKCc8m%iLPab~{g60$zft=Q&qN01?D$e)XG(L-feKM!th!RRjdm|rX
z!&NmL4Hs=Wc1SVN6_+Ch7ZYt5JkH>53M(!;sdzop*bEg$4L(GNWmgb%q&WJfEL$I=
zKUBYCDZ21OQ5csf!afu&SkAx?Q30|tm!#3XNMwp#L=ap=*k}j@Fi)WpqLt(=Av#;G
zasiH!2o;f>|2(9XM32}_p(Vu^2*#EaLlLBx6#bRhF-A*FFN4<@;Q+#^95W0qE`k(8
zLYiFgsX_$0A0#S25Yj7yciX$0Dwakc*-a};W1f}Soo>_<^nunO3@IaAiZC~gCj5z!
z)oG`ru`Gf@6B>t27d^^invxQhgYh94(<-Qh;YQRJ==6-2RrI>77^&K8gOS$Ea-x;O
zY&I~`GTf>n3n(wb&_0pnMRQc|sPdwP=_>tD9(|a<FmautLM26c&zt<-gNx_%O@tU6
zC|NEVGW{xu^0=&0v4Z#n!KeyoApRc36_T!O%*b!GK)#;py8b`8C_;E@-%0V2xZARq
zMn;OB{EGU`NYS3<Rm51`OOq;!UY7A3yCmI>6x9fC?H2;RPL$+IiW1#%zlAcQ(7E?g
zt4gSEnbz|(-e%;dk;&LRh9ARE#;8EA2D6v6%AyS-bgzujz+cL^>ZDUf5m7<<5NKTm
zZ<n><r^AzLqEkwNf2FBy(A^MdBP%b9pn1o;1QR&(EBdSdQ#ih&<7u8LbhwJ>5;%nm
zl9i@TDVCrI$>cn5<L9wRx{0>c6xG#3_qVHxLJI3o#cC;R@ob^pszD!^Lf5LH#|MI=
zy6D8=nChY(SLL<pqE{e)733<Ct~3vC?x|-DQN}c$+%=%+jHlEZ7`CX#=$fJ*hns4O
zFF6dWg(*tbPtEik+E{We5yRxvTA~Mst!j&grtc`Jw)i|yt|Ku9x2X=4B#CL2t`^IG
z`{m8!DZpu(RR_K1G~K9!Tx_H|b)jRNrtx(ViMXl;rK`PpdR<Wggs^&;MNZS`dKg0+
z>3lsbLgYuHzG$b|hx|_-Efi5-l%<{Z1zy1Oqs#S0bzZeB4Y1I^q3R9L1>VrK24aNS
z<WKJ#V4-<KU7|5X@f~T`R72Y3Xp~A~-05nUGU}EC<5#UXl8~6rM&*2z)DR0je?R5g
zo33_284X2ENG;n4iohHCrje+J;6Ni(*I|0oNHhl2pfPlXH}Li@K1c8?0?tmQCgK|o
zw<8QRvB)h(ei}CwqnUE7sc6RcudE-5SPtV6T4dsfXnZ44jxv6C1bV9aFy;AJe2hf9
zA_zRp<vT0o6`<=)gNl%~8QxjB+8878F!?nTmHFycjb^A|gx@q1T?2pQDETue<vv#G
z6)|`&i{GrKjOln~I{I_Wj(l6(^@~wMp<D1;FBpm`^sh$NXMTcJ0unENB3dfSUCa_i
zu>MqUj<j$wY;<$+DRW##s5pK%;?|DAOehn1oKE4>F}7F6h>Fa6HAZyC<uQtAfldrK
z0ioi|Fp8MbLZw@&C6*&_Olm252lCfzuC^I8eg;Z3HPsP8k*$Paa{X4&dt_2?jl`iI
zTNKZ|RwAFGy-!!$>ka9+t9iF279T`y&>BMzd70l@G-o))2qW5H!~h=E2Gf8{xm$+X
z6|1Uhi}F-#B{U^kWJnXoywW{Ti)}>-g$>D2Ll9<;%BCObL|f6*BAW%5UpopsY{Jh)
zhqZwai7jHV?}SC4sF|oqJK6^YQ+g{H_$5OzO7DWzx6GoTFt0%rO;D#DCSruk+hOdl
z;Yx}$Bw-|2D7-ytSE4Ir(3M}XBF$-!9P%fDu4)++JrBN6F1Hs=xEAt!CVDDLeNWy$
z6Yw&_ybUwtsmj6*qCT@mcfh!lgyse-Hs67Cu!AUVnnVveV7Z<|pL{L`sM`D7V7mA@
zri4jUwj(BxNi?e?wl|X~qob%Ke&w9^%fQbv9J*6-FN{xq#+bHt5<$3HNU@!uQl>Ij
zRtC@gp>$~gF7JV-3X?-RBV!2Lb{3zQQ~hXJXHnB4g$|<$Ux?y_>w9_WVrQrmb}HBf
zol_D=7?m=v3o1ooMrEjea=eQu%L1QwL03muv8!mPI3{MO<I34xp@D+3t1CJS!mO^C
zPNa;P8T4!>uCCVaiTx^GAJ#mI9k^z8LuDhp)=e~28Jy1z8%gqU;nt`{C4;i-HIn(0
zyJIGh(wArF5U=Op{a-u^=46(r9@y<kmNiPG=b5hnI?@9j9xOlfz<h<UXirZKY|UVE
zbbgvSiH!$%DVVnP^yFa&N;;kE&hu6<g-sDbDv8}RryFvOB<wU~3OcDwc(20Z5idI(
z2bR-H>Lr?}oFB@dhEeFl^(Ld`<eS0rQQ%a!C&8l`ytPDv{J?X!-onB02liGiu%kCt
z4w=dsqi$gCve2N;9$|QqE5tL=OTP04AGTf=iti&nRM9VG@F`D0YSk6ZgLk^1n@#uR
z;HnV?hoNN@_fHwrb~d<=^~2L^GGllm*hcRVg>%=VucvgsW%nht3qRF$r!Qt&nUmW-
zZN_f|zi_L59T_V=VmTvXF$Ez!87pdW_%2p7#a-3LUx=Cvj{O3iOLl)-Cacn+bmt3E
zO9@X?^AB00QEPbXw=_rS-%r%wa8*Ci$RZ=+QLfIYTh9}}8dHn*M{mS%iS3V65hnM?
zR4chnnaVB`K0s7pO6vibXAtfhfax2d<`UJx)5L{+UnYI)!j|W;AN}pZkj|uz14Rb}
zI|hn41Yv_jcLZYwLF>z;n}fu_z)T*<6*Fb`%6^*_uh8aJq{^8T{~-#wGY(7ec1nwb
zrYPf7%cKd9F^jo>Mcc{8W>W?Wr=r!&Bv&U<Y+;mE%&Xi_r;Nd(w?)RSL)`|lnru8#
zo0pvNSV1#s^AIt}G@0_niy=x-!%U?)T<R+9p4{;}wLzZVCB-$#R2$)pcx;r<Qp8XZ
ztD=95JhJY;V<>cK$=W=V(hg$XvRtw@RH@FR=3jd1p=G8rk#qZbl9LbB=2fxVWYYL%
zm=DX=&}ymJ)2Qz-(H~jAGz@xoCKVelzOeksb$Wny41qEs%ZL|hBPao7RAM@1^5IH8
zI@}%I56{cy_bwx7xCUQ|cy7R5UqRAimh=Tp7=*>4(g^4&5-~s_ut0TC2zXRtj_|Ls
z{z{G^DEKR+P-BFs&kx5IRH;kamziwtDUR~xrKpjZhL2FKkx-?!)98^R9>MdGus%$u
z@}oq*K>qUFH6t^}%(U~MwFr#gh&P!Yj1rRqCo{|ZOun8{oS!}Qs;Osb^JwgP_;YpF
zitJ7--$un9n`5Ey4m<|!K9Bl-Bfde9@{Rb&G>uA+5yKHI8zW*&f6|jNVl09$#)`Ta
zg=@xQ4WCcf$3o+sPld*zQ`)K1IBeMXQ+L<TIr<CXnadIieFGzaZ^ayUi(+^N-$4x$
z&=xYr&Fr#;tEVq#duey%u&5c@qsO4w!999-j1n?lN_O{G&k#C#_3i8Bpvdu1ekJ3h
z>^@bVE|2%5`!u_2s`zqw@~EA5Dmwv7h!l{n8aI22m2YqIv-os;f=ArToW<}iU`oK>
zN<h>^Q45vjnuv~Sr=t_0StI31&;#rgHwm^`I~|?`b-+&Hlc7Y)v~4fdsZ`Qr)V`fA
zO~x)&5`uC3Gy$rSchyno+y>ga>?m}oftC+PUh0K4N(w1J*QTM{R-TF_P$CMy^iFj~
zrSQ_DXhmOoJ7GBC&B$QnC-*ebLy0P>L?uo`*R|8dX_yP4T};QmTndg<<hzeiX=RUv
z8p0iYJ;E#DxbFly$l?}wmzft76|Jg@wsSsSD4aD3u14|vyp>w<Dk;U*c$qyt5ngaC
ztQHzctNqg3=c+31dN_VGW+Qy-U_22Ct$Bv9BD2kAV5Y|7=QCgy$f64~M0HCRkDTUo
zd=^rEH^WxcqrBYkqn0zV3Cp4tGqE;h(eE>{N6DgyM3g>@1|?!NXVJDqjHWF5D^b$w
z&XTk-vtXIeqC>N=f6PY#vt{&{*%(b(lr&p(2$X3KMoxKdf6`tnxo`=FDBf$FgVC5p
zW9NuQ2#zbrk%XOC7PU#j$}1y|e@Vs0p-FcniJF1@vV`lIfice&l@-q<1Jimg2JZ!$
zHCM{GHW$TDp)%jXB$`D-zZFeY@e@@OT>Tb1*(}QXR@5=0_;u!qZh<#g{^FN>h>(x2
zEQZ#5WS*$R<cxVJi6pNy8umaJH0+%DXjq9}?QPf^%>Q)0_>9Bo1)g|Yvg4KF7Y7|o
zezE}j&!tpuAx6+r8n;jkMv%G?3++<8i7fgCF6A5@MMvceCvha?>wbcg76=Pi3NFG}
zTS{Lqg7Ft?(jpAGe3Z2a4VjNxFUE4uFLJnk&Mr_*5Q3Iqdz+7XE|J_j04cT<BZI$v
zfr7POiXJIrKg57#gLB8drd*!M<O0oJidIjdOG}Y~6e_n&bhV^#R{vAgfUDn40wv;|
z(eP7Oh!WmKX)zSq<uF(voV#2M<S=VF41bGRgzZnSeWNW?ep(?SOy?J_L~EaCdY(Vk
z5pC<0qO`)~`%_)Js5wL{M@Ltpcb%snR-%)hCy|T={5&;J7R?mzhkx?j6WFVhMG+9L
zB%{lm$Awc^_770aRagt=(!f<XUYbisSBZ|6xtwGTieH017_}Pain-KtHPkMNucz>b
zSL0x2E@iI9l=g%o*T`Vt8my)KzzN2ijD2ej>}3n-)f!Bi3#rmt2;qlMT<sNk)>`qQ
z>2KP#R(xdnoAF%~K4hH;=Wl_kti$dH;kb3;Q_CS{h*b>F)`>9wJjl8pO_D~<)?<f_
z&x73Sp~UHQd_ByIf6-kI?$BEfc2L0$2%b_+1YP7k;<`^i_@IBi{`K6$=TDgLTK^ZM
zS2me&LHZUa^r;VZZ#MN8ruO!s9?zyOp`D!03cAd}271B4I<jp<aG%N`=prw;9`+Fs
z`L{RmpIQ7lA8NI1>J_H`<U_5QO`So>oDS}UBH(+ScQ(TIgxg(j5aPO1{!K_;-b1YT
zJZIS>UwM<4mxWsSP&;K)<%OSNKGdGs)T5My1o(o^j!j5!JzWHd8!XQ_*i1p2k-EI}
zlIbJizibI7xOo5iP~T-!CouKB5A}n8y*Y;|1qtw7m6e;3`b#<t5a+`;8H)qh*T8mt
z$RY}-<}Cc^*Ip6dGBv`7x;UFEZxb~0p`OjA;;eG$7Non2W^X~ddvM1VK{}o1U=ck*
z(B&G-|Hntd`v1JC^QWS&TxmJ;wk?~=Z#KCK`%w31Q?FCcttckW9}>1A6T5L|7s;-o
zgB-l3UlDY<%&G77k?`dkZ|d@>;;;|(t8A(=%llBrXH)l5n{7yE3JpfUCg54y(C=UZ
z-hvSJ-LpV<k#^jO^qj>LZ@tM&D{WIBYJqGjzbN7Q)Q4I%o4S#rw<BG`=5;&Lg^hJA
zLRd4GFdDYX0|2{7+vIK^8B4NdNSov_AL^!Ts<g&k@u3!e=gs?%6tx2h!D!Wb2hxW*
zDGnhlK{FVQUFjx(UF0tG4J<<0b57?huMD}ZDwvs*dM%qOcO2b(s4udqM<{$Js((Ax
z=U_T@<zO<6=HM(XLeOO%SKw+N0lD6L6Q9P^tv=KO*;Kg?+vh_K&!%q01!<%+A9s8a
z*r^2vS>!^%i@kdniY^!Q-7j+%ZuAEx&vYwS+_OH^<=IrJ{yg@fCTCMq7VbtmSTKw3
zMvb4Rx&X1Jb>?6$jYQB@E=NsZgv+jX8>V?<u9vG(D<3Le2=`Fsn$*#Uich9JR4h!H
zNS4<j=XXdxjUv87Zm<r;d?&gTxXHCz>d6NmOr7t_ZAPrJ>i<nT_MOP5$Q5#sD|*Q3
zUUHQj<Z2#r(LJ8nwQ`W_c*w22<OVs&4L#%pFS%(B^2Z+X4lg+-2f3w(e9ud6n}giW
zLw4@<WbN}D<W3%P124H-4ss6<d5D+XCkHv!Ltg1656D3t=pkS6l859V5A~4WgKWB~
z=i7&i9A=9@)z)#$kOyCg>o}HKjeC+hl%nPIyADMLU#snhhKzU2y6+cN&3H3o{(k66
zXt@2Nr0F*Ou^*PwXMPlPK$I{opb7^>r0E!SJs@hEHW3|w4ziCf9}ra#m=D5^`-2}f
zItX)9UVmD95PQSp6m$rhV2D2rID{jC-~8y%A?ynZQs7~n*ZfD(hjBXgI}JDt5wmFd
zVW@LD{dQQ?w*SR_Y8J|rSb*BD$EV~qk6=S`hejU3QQQuCaRl$^J*Cf&iqUqjj+0o6
z?q4?7qP)jMUAtGeNvtxjSc9sRbPOr}Lg$X*ioz0#JdPb7K5aTKVyzoEsTEK)C^-cm
zwT-`lpAsja$E~C8C!nRvPkHv@>#T{Uy!eU-xA<<^gDB$!DlXBFDx5@4ex^kyaRz88
zEi|{eAHMxsi}wO5oD#Y5)l0)uqN?=_rxWlD=?vY7ixqTAlw#H8*eOw4sxGHQ4eMRz
zdC5FcxI;~yzK6>CJtclGKDT=nmc&ByGTRp->uI#fY>GS$<J?h7JS}>&LXvSB^}C+x
z{s49H0e$lWbluH#`3KR{1WWiC(Fyln-Dj`^nLsbjz_^z|F=s`4)+JV*#V+tAJva-^
zdOwvrhvtGVG3Fe^J*2beaFApu4YbQ_DMt0qi*i=4qClCrKSc}A!<-HEV8eMd=PtT+
z9-BIOgJ%LRPA)X%rV1CZ4Ns@~7eqDdA};Aes0h?{ZSKOf=mM_7T%$u5L|?ufQtYA_
zX7_3Wi4jz3sUwWy`5H<JI4Sia=Dq7=za(5%d6}UCmTWryAWtb;dkGD_o9<i^Us>h7
zid9VNxy(^Yp5#-~Wi;(;I)7Pwi6i-XS8y}oD($!;zVaN&U%4!b$s>8(2FGC7OEa&+
zv?kAt-w+ekX)=zTDe{`AZk5OI0&6Bkmls7q%#GXOqPA6@2<Mmhzw%V0&>wNJXgrs?
zcsdnZhD}=hkD?<V>z@Bn^un=j#80BR)vEwdX1~0JXvt5argbAn>dk_NR>@nLw4X&J
z>j3qB#&I-sfLT9dB)_5aKV#rQ2Z;CuXUaIIO#VfDX7{f4iG}D|Q+VhsbX^p*dRKW$
zPR^T`+Fciw?eeH9FIMfuvNX3Dj&l!O7ZEmj09BH)RBTaD3Cev#l;d^3!41(7>;9q}
zqA9QY_io_sow4pyud3E?eEx_A%B1eU;;fLZlfR;~9l@6wIQ-pCgMP!Ug6VYPH__87
z&4IJA=u*aap_TCThA3x~Ccs6&CDPn6)&dKw;2z(en-~i7=<!W--f7hQ7KZVkwBwfO
zXx+-ybDSmIj|(kI6>npOnolimWAkmN*|#xCWzp%|u*PGRet#Qh+DobR9dzq_wDb-}
z$pyLz$SU`<nOJ@)c_|#Ex4VlvkvmosRz=jwgcV#TcSRm7zL)P}+B!h5?utr*a;sPg
zyVm`tLe%^oCfz4A=pLrng|zt|#Q#lC?}^5|w~I`{jDaO|V2WsFPvcC-vFH!yrS$!f
z?x%?Iyr7Evu-fud4~doO{X<cR?!Cns&(`~}<%jyyt^3%t@(U1&r4)7KJ6xgY`2hXr
z5uJP>=2`w=VuT{vvqUbM{t#LEgEl`Dt<9(W=*>e6cZ6+!M>t2qMd^p%#m5Xd{}6pG
z6LW|^{vP6!|3FPnqz8ZCiU>a~kywz$7o<LqM5t*hjeaDWS(Y)rf=c$`BNTfk6@M)H
zSorY?l;p${IB(znSPV7$V{AVWOUyz3bmWOx&0(*nVwZ*ArATb77&WuA7<GLnMwyc6
z`ZKZ0a*~O~nOK}wK8I!FB&9tU(=GgbMPfA-Y2^#_uosl|LM%jpi>32S|5DjB+`IXg
zhNp@8mTfHLLyAm8R&J$<G790Oi)m=?$aGQ5vX(ijGe-%Un=aza1^gFgh}j4zDFYyu
zulE_^E7L*xDie1<-_g}f*rHxho|iE2?4<rLMI}5|x#T4}>P))yQcRU^V7U51C4y$u
zk2NEH5z2-4Y#1?+5v!4=Ymh<=VFbSt<%(B`VT?G(2sjksC|@&zUygE(lnC$JSMntd
z*Q>{@gC$z}4;wa!-@r;($#MTPu*Mr$iuIj=95!&^F!dG|I6qK21TI8;pt#1UWD^)6
zwY>2PF^LhkS@>jyn8t`_jF_$vGZ~SvfH8>*Glwz97?Gq9^BA#-5%U#-7{Sk5xfUtJ
zQZHheLab!O56qFQ5NjAA-|t$h5E~eAoH;g{O$l6QTNuL+W4X2}mK}`XSJ7NM72-Qa
z@MBr7Jqn>Sf}hQD?N^9HjQE`qhZW)&BW5w;xI&y_gw6=Js>C0FNRV%iNHqo-!5dm1
z$md5~uN2EgM(p4?8nh2^Tw#R#k~~}?eq@AKzX8WDjPR;9K>W%GucZcvTZ~x3LWexX
z8zjKoWy}i3j8anXGs3I&fa7;YtYePtisLaO482Fnc*Y2?JqJ-z8R0eI0Fl86uhj;K
zKe_(p(<rW+O6ot%;?;t{@|qFyE8%ibd4PD!2>AtJRfTxZ2(MBE4znK+Uds*;0gUkK
zMnD8HLfLN;U_t@L&X}WIys-))7_o&B%M>Dn5%QC&O$w2R5%MFXvkH-q5%RO5-xZ=D
zBfLf)q!Px66D*YNIzWW`B>*#lF>K2L=0j%5V1(s`M3iF0B}QlpQI-)e8IeaJA{eos
z5qlJ(A|vDld<T>#2(8Qruek>ZJi7LQd=18xz$PAGYBI*FtN~Gn5kIlic*Rkl5xW>M
zTp=1V!cg9%j3$goXO8a`$H$EDYH<+SoDp8j4-hRA7~{3}0MmvMUbPO0c8s{rQp-Y1
z1EK>X-ZFwUIv_eRVmBk=6{0I6yowz-dNATOb8J@}y&1tqpaf|J0!u7oyoMhj`ZL07
z>j7dQBlfb8t4hdVMku9EA%-%-tLq`ka7K8QJRrVigrVWdyeEuijMp9nma&ZRnt*^9
z&j_#52gD>scr`vCrZR#!X9J)D0^w!^zbWn-p%96Tc*7iH6=Dt}aG4F`Z?(dF%NVa=
z2tpPx!mAwuv4{~~#Sn<4jPPoOK&)VdS0Myq6(fubNit_^88L}7(h4f$)cFaRWq^?v
zDfo&I;%sJwp(#qlHb!`jLg3iRh{r61?La_$$A}}07@-jR7_prZqZQ%+Bc?NAvO*kY
z#AJT#-o>gVgdAgxSFZ%(BqO}mA|OsPVj2r!0}&8s8R4}F0dav5UTqVI%Z!-MQO>9+
z*BBv>^DZ+YVLqlvV6vFyW9XKMbAu7`P-&h*++>8;a0HG!jPTlufJkA4*E|HoLq>QN
zRv;cR!mF(U@sttg6FA)vD4D>#V9WtVR8WX?Mi|<w<ao)5C(OY{Bt-d}5nj6y5dSj5
zYbpZb4I>V5lpZQd79-q@7yv{BSWN!Fc(q+1{29RyzPpC1IDw3SavS#+ilkJ1;s4X*
zEJQ=z;T#qEZ+I@oLhq3}kdxUTQOG;!*pKkdm#CMEHDah%lAMppf6$6|qOnqjtK|>|
zjksVwR*_wW6?akQKE;S|x|D@GCeI!Ur-c!Tm2$*O&Jv-yC0hv<uQbPl#(XXdn&q7T
zWrsd3@I90W%EcsCgo;y<<4mMZ?~(C|obj>*{W?z<R=8bN6;BQ3VI|vDQz7bj5p@-!
z0V7!5c10^hV@AwmL=%Phm=Uaa<1>??Z=o`8G&w_P_+t^G)Nxt65v+~}7eaf)c-dR1
z_^lZc<iFsmv$=&|jZ3V@H4#BAOwJE;F~ZeeF@DaBNi@Oa><mr)HiD+C#=E*Iat|i6
z>h9{P5PiIez6#Ng5v;_!`YXghM!cYJ%+6+(7l@fyTQ$P@G<<zfDpfcOBEv%@6U&WP
zv4%0?Un=6~{K)bz$Eukl)<QpL-j5jT8mYLyVQ$_GxW*_%f)_DfAto_`Hv_K83Neil
z*ac+zIXhVRLA=CIR0{q5oi!2|;Yw7TbC^@=mPraRj}Zr1)_jE^M)31_u0;y5lo78O
zu}mRWGGZqqk`-bNBQ7#xtwL;IglzJScvP@RfU`g+shukuY@)gM5WFbM{N<#gndskp
zNdMjjN*Q7k{rU_VU|^yYley0b1EGwuiROOsKu}VEGjD>FrmV1uX0NQeM$G=q$muCV
zY@#{t3j@)};P}#mP`21a|1XF1`qJQOW@K_$T(3R`N||I6{fEV=qEHEov$)EHGRG!b
zdk^Z>XJCciLq-}=+AArR-e2|Y7dzZQD&uUTwg0I2*e`qc8jKq^GM}9lvvt7WK3~Q4
zjvegbSJv7@;D-(GHMmdgFoVA*^V4aIGY@Q|H!aS>2wqv7Vam3xth9;NA-!F(eTEO<
zPoi&9g+OO{aCHiFhUJxMeyP$782;seUW1rpW}x$<K;G^pB^I4G`<w7m=-ci<_1v<Y
z6XfI}XDd1X$@%9IzETQu77?orM%k05Qu82ZB`R!n200W$N-acl<4lEVOOVrUG58J#
zIm_o+<r7!3hS7^JOhrPFgLOVcDra?;7HfTRJ*>_Ocor7zEoT{Q;hlCT-VU%jLsU8^
z>9o~Z$@BlM)mg>!znaZiTj+*39^n|b!tTtMuX5zD5&h;P{bM=P+D2P!NdLGmF2&}o
zz?*WUTG}E9+dHajch+xvGXUe_5&yj8pR@dPjeq{;pBMadfqyRZ&mI0r;h!7)^DqBA
z<)4TA^E3aX(*?V;yluLXe5n6IhqDFSVOlwy4Xv{b^dnm2aMrRWdcm6xXLW0m0scV+
zH0Q^#!1U6bb!`g`EG#e^G-qww{A~ES=B!~`Y`|DrA_VA*vf+5)tYKYdz!UMYBhp;%
z1z!qheKxLCb~>AIIMV5?W!qwq(L#ru&ib}(*|1-*vyOF#0VmPN!Ojkt!&d}5+rfJB
zl8FZl;tQ%C;;d;sVu1hB*C9yxkQY1<;;e4_-T=`muS1+IZ6~wgHo2V5t!EAR9j(db
ztZzN%0rh9OoR&PW>t~k2aJfTarJZF1@1S3NW!U}oex;o$C35qoIMKi9CvDoXZj*yN
zyoIxBh<re8m?y@$Zq8c{`Bt14b=u`@YY*gYvKLijgmYV|K;BAwQ31=H=AghOIZ<WS
zIa?HzuYM(#q)IpKMS^>c91u5PG=?~Dpub8iIImZ`g8Ip0&O$akTz&VPvt}{8SdFlR
zUgx><o7OlQkif0l!JGK4F$rvH6dd6Q;QjS5YCXkNQh(nn_z=Hzb*OW2LHVdvVqV($
z#2#8$ZkH3Cje89m)Eo0%<dDHVVtE$hT{I<h3Jx=$!P|OY;QguS0e%*<>kPH(5?qdv
zy<C1JXvcay?!&x^A=GfAmK#YN>k?c@p+afGFu#0=qrdJFe8}Iz8*$X3DcP@p|9ouA
z^&35dS9g@J&LrldVw?PO`(Z0i#bW$%GqRR{o*<YOI7%66yA8L`<A3tA1u9H&ny|y~
zL$m8Hg&hnoqa+leUXA^WGH%ep;G(#rk$5n;3WDPYgG(z8+{rtwmG)<u6u&RHkQs>$
zZS9|%u5|Vf;E1gc1>@0feej{+Jcaz(20;I>scQ{x;<~~kd$oGYT4^7$Em@Y06yvvn
z7z_k(LQ@_gu?v&wv{Q_*1+lO#VN0c%hBmy04BZfuP@gv7U;?4(#FP?J-%bZ?C<!SL
z3T85dWGE1tKs#xnp0=2_lep*H6)nH+Ip00^A!+yS-S6CUwDv<!1NujfU-CSH#aEX+
z^&;U&fR0|ut;7j(EedOsLiD~ile7}(eOM|m^J@4s<SgyG>~Uikd6zviP4BWrmp$j}
zC=bls@mviq3?cuVI_R<s#52GKt5nHz(;y|e<4?II*fHUH7-Gy-O0CY>rAdZGK74vR
zH(xX?V8S8=47?IdR!PPT3(kDeXbrK?JTm;yA>~mIy$-1YOLoj5joU<GGjwFOM_pme
zNPb0;dWzBI(^N0b!(vCh)X1~V=u;t9iTS1z!{DASO*gP|*pVwlV8w?Xivi3rfL}U=
z0<s*QE;Sex)8X)t5T(>uKGQIpK12GBSA2^GjzZ%l%uU7RQZS9UBIsyhcNR$p3UUr$
zl)zO%f$Jlf;fx3rv<@G~Y<LG?EG|U_f?#i}R7^gpRZ`HfDF@TXu1bXTRZ_%&N@3(<
zSHyIH{b7~#voI9Diax{Mtx}DdIF}5VK5?n+;tSGwo>V>6F9q1hkEF+K=*|kiDg{~T
zkEJgK(*}mhl3es^aZvA<p0Hp>b*|jqFYVgK^C9Q~IQ*DdhPhMBwp`>^;QUInpJ#MI
z$JezQ??XBFG0GW%SZ%GBvQGS<*83<HCu+TujehE&aojc4kn2h230k}cPzIxmos%t`
zyU~L*q92a0bBbA{9Ac-;<#?arSk=qSe##S(t;#p1N2wtA^r+fyWLo((eVuozykVS2
za*DSSi>}$;0yZ?oi?j-{LKy1j)q*7Hc?<6EdaAqQJ+vp{un*QwxD<5mvE*#8{x$Js
z`qgAOVREa6j7!ftr)vE78m=3M|BV;K%kbnzZvYEE+?I`AM;qoh*m2Vv6^U2UYoM+~
ztj$Rbz@3}k5`i$-^BGQ%8);DcZKvDJDJVF9!&`_j+F>SwTV4msywmq?d8ZYMf27_b
zaQr{!sF|}`a45%DDG&_Xa(snmk}`1Nw7Zn`=lVXM#j_;n8tmTW^oyLr%D|pnUx58~
zuCJ?g2~k+Ob?K5vpQ?`atl7yaE#1NO`1jg-(zwIpCN>UrBxAU^a=^ubWGbCq?g_+0
zfIeB|)tGptMbu^)wsvlt{gNN(&iK(D0MhXe-1>2#80xyj;#}0gx!>nkIcN;}-B?F^
zTP%&wn0MIB{l402;U_fs$fz%0Bnj7@@M~g85s@~i`5IUDq`PCS=_Sdwct<sg?Oj;K
z&Rz6*T<BN4dd*j3I>Ox7ecv*pzmO$9_Z=+ck@r35N?tpokTsa(*UK^1{z`@XkcH^E
zOtvCYDL?-hk3+t1`hHTL@wn;jz9G2?ovfiDxfqLiL$V?gM~A;dsLbNmIAN!|n!1y1
znb!2;cz0JEKlj_PZAcDk+|af()A>J~T6$sZfYT@PmKpNoP99?N!aO|MHRmI_imf{(
zpYoXg#ZX!AK))>q|9nF>S<!oo$|CZ+vISqrA6V&J)-j7x!5aS|@3qtEEUx8E$b(i)
z)_>HZoYh1k<!~X`kg){tCPXLf!H_ap<EUd<GWAR>-PGNl#8(u8U^u7*%p~E=EJ_)x
zFIKjDxl0(GVX<lMfFXzB_tWs4=N9lxRib7h4>R!mRQEKNoT_B3W@7bv$gf+(EVGrP
z6(X^E_}B>Fvy|i_#m8>1R^BoT6om>aI+RIJYqeS|JViDhZD_vkEQULsN+CIUTh=S3
ztfosziR9|tn^vM!A{t~j)5;7hhL?ucE2=;Y9~^#8nPfW3makW~ix|-O*G)<oi@eQB
zITpJIlmL5rv+|xp*hj_#FDVg`B)uG(ziACX@jYi=PGX;7_)4$RlP41Arx!zP6*`nt
zPhdC|dW35Slo~2y14_O?25|T_C5Q;?A5aDy=q#Qys8ooXsOKs;@gyF$-2{6El_D&L
z2XTU%j1eXVl`$`md(tbQd6uoRhSP<5-oorV+0uBtZE^frbU{#8wq^7>wXkayzVdP)
z3LDzpWdg}CcSI?j$x$me`+qY#*Po7cWbiKI7Vc%;F?xMVc0ao?9q%NReR5ox|8sOA
zhZ1TL7IPA+Um$i5zG_no0wn3aZ)Ca_;5vfMs#{vx)A4Q!{BS^TLe1B>h5G>u9`k_#
zb_uoA=;&Bn^_v`hYk2>mHL8Zgq&id?dY8MchDqaUHNe9QbQQ)ny8VV6CK(r@`7Wo0
zGmg3sM(<kXtWpLSLUw%m@EK^3bYR{vLn-31f>|Zlx5XVYh74fwV#ocVN?;=9p5*7v
z^B(vB#scYpFFMqMd|vB$pf<Y#I-saiRgHQ2V6WtobMPB!>Qu9H$BpNFyNcVU?CeOh
z;X=$+d}&>14`2g!x>G%8G7U0Fs-a3AxP<$<6J@R{3#W(Cmy1dP#>UxfcnjkpgG0R-
zYDCdXIf+})ctH)rNzo-?RGAG{RJ$AucB|tKJbv)fn`%84WWjE|ss752XA%03s8g`u
z*w_)ZRTMYV<uwETmc(d^W8cR!1)Gi9q2H*AAP|)d&BNH}cLrQKqAoX!L@4Xipt&1E
zsCc7SjM{7Os#^t-*k$Aur3fBT=e1jTEgX5yUBzynRuz%Qf}u-$q5+fICH_v;VBU$%
zdZ6x#JD=UXppHZZqL1OJakZRBC*YoaN0Y0-%voi)dRGk@2E%vpM<7#NqegXHqqtlM
z;pO&#g&X5Fv*Ja!f(IkmzI*ClB6uXCw@3>ML_Wj$pcW8G!i8WosL60JsQC>b2#xRC
zF^X^4?#M}K&=u1B5Ik;o;?qonrjQoIju4C*)*4y+(U83p(jLxnoW&_6HX`|*I13F6
zv=aEmF1N<2O0-iEfk<ued|ksNo(nW9k2=u(ur`6oo~pYu_*lEnu*ox4kqC3T9Nw_w
z<-nB?DHti=q&e|~$Cpi7nNi@YQM2ZzLm$mrv1u1eHEUx<B9Y~I1&#K*BXp{AdrF(c
z0~9jZqaN%=O4BMuib=rxZr-?Ev+%V4xa>71UE!R>8JO3P{hfhWza|@Y1&|tW2UOn1
zwX`+f6~jkJwXq2}!w&Xq9T6T`fLnR|>-R98+iX0ksS0uMx(!LImNahI@ID{_^NVYK
zGf5e!yN18~>nF8kHi77QIP`%Qw2*|apD>U9K&j!Jw#cj!Rj<2nr<X~!bR<`=Ztq&X
uGttL>dQr<YoBqlAKhhTYd2oTA-}i_k-?Eca_ZjfK;Vux<J2RP;)&B+d@wGPq

delta 72679
zcmafccVHA%7w<Q-yEB_)H@!hf0Rn`Y0Mc6kDN+Mc1c4+#C`(D`odl4!1_%!1ARVQM
zQi7DB6N*X^2qKCg5D`?As)BUh@7$RU$oIYX{A2u`d+t5AoqNu?Wy8k8<c)>N)-2n?
zYFn%mYHCR>VklsiPmr8lUpv?|L@Q|GO<CXjMCL|XDoTOc!4|<%sMaAlG<ZRFKx)Ro
z_z^==`&1dxCv9lz@PX;t{MMzUa4oe_xMe|hd6I@oVOo_&!6Ct^eMhGb?UU9wdDMv1
z{%P?8hxSbyt8J=VUW(RAHjUPPYF)t=$<k>48;)WqTNBAKl=YRPm;g!PzQwh9iPfY^
zT57A}T6EhWEi1Vg<xC0*le5cemwK1gK6x{oQcn8>Xd4>U3Jol3*^tzML#vD!(mQ=Y
zc5!OcM=CBYp#1mLI)1({v!wS;8>~6%mXgYA0q=xR;YnMtw!Bse#a27HU+OTeUF%9_
z<5pRMifb8-qo_%mPn?`xjU;b1j&i;a_K~yWwP7hGC~2f`5Sm|Et2!V;`=MTN$jdS6
zlR9{C@6<kn7GzfuS#u`%28Jxi_A6?~@KHmDrVU?^9m9ofVu+~yLu++SezPInt0qTk
zQsXEoo|11$VU*C&5zbTaM)Ht>LkA8?9h{stHg!nG;54mjvoc!sS~axZZ$@jYYM0gy
zH4M{Yn%1Y4^A&GuwbB+D=vy^;;Ls5x(Vo<i1Jj2t$gahMtgWnBOiM}*r^2qjf#^dC
zt!h#UZGY4HQaP>aJLNEL?T2!&E1GH%PCcv3C1}NbB~B`i9)(a$H7}K-uB$brdQgF4
zlyTV+E5(2nikb5D(Hgd?plxlPKv~^=N@!PW*V9rOm6A$>A4z%JLKSU(%OI^<>nPRe
z`vS^%LoOv}M{Bn_MQiKpL~92VqqXWSBk16JYDp@*=pUl3Y*tz;*`z$>uXFfHQPg;)
zEy}(i+g2kPgR0$aT$NI?d`fERElNo>jk!wkR{f<4V*LFl`ub^EZ&r|MaEGX{gryX<
z;GylkM~Ty>G^(YYY*tY_`(|;e3Nl2I|9;;98IuDQ(UR&or3grg(5BW8)DoHoP{9#3
zh~|3xL}*E^i)$;J`)et!D*C;g+<vKjQv1@Gn^G_u+*oV%W;g_7rA7EJ$o8(4+<$QT
zh!Ls7$1TX_#>CLwyK)F+J+xK`aAI!zr;Uj3*sSrJZJRB~jx(me;X`YX6eSv-k?-qG
z9lU*_w4WQrO4Y=A$@$X3Q&<|BRGM|HY68?FBW?J=A!$P~?+}B=$7#jel+mosOOk&@
z-%vUG4P(9Lw~3}w)4VEZeVdokn)JrVyy^7TuGERA#CU6*RDyGbtGs|0WS2Esb9b-5
zAI;mX)X+vWi>HroN}+V9x*SVGr+G)y*=gSKk=c%#$-~q7r43Jm6&SG~+pA9U;DIn2
zBhnUR#~MObE(`G0G7@8Q_b8a4#2{yl<UZ*`M-Ci13VFh{4z0tXf&ta#Qd;9i(LsUL
zk~6TFFgD5Qqtk|u9+);p>)te0>rlInrq!#U&2LdwY9Qt<@w^<3QFa!sGd2lY)wb~^
z9$WtNpX|VYFNP|^M~qzH(k<G=wk6~ctG2jpMCKIE7xG^#&B(f$nO;KUjD+tw!T;6n
z8tD!z(tTgfwUK&P6c>iZNLbDZ&Z6N#Vh9@K<icLUCK%aHYHziRl-|?&w<{wRXmi?C
zlK#<lx2qtX(yq5FD{asm?JFojTqstHY!jo+>#HbFS#lKhsxB8-4Iu}#+3n+$nVcR&
ztFW3KM*8QRQdTQ$Q_9TfrP-58OW$aflFBK&nHf$!YRJVEH{(Xs!7bM_i+;u_)x^N(
z?1weJlVr1ALz<RUJB$hr_(b`L0lv!F8hhp^#!Dm?M|(Bt%^1qR2H7HMk9MF#qIB<r
zj&WMQ9)8;KrXjhfee7mk3t31aF9MI3iZV(~MXBPvqGQaQmpNwzku(3z0L|}hMVZD)
zbwyIb+vSun9;<j$R;bzS{o1^@YbobBXDLrLMh*A1dv8Ze+q8gAWt5G~FGm>@ETy&N
zPD<%wEGnc(-8^>R7}~X*xwO{!&1kcZ+uEj1b)@;)Z=EVAr<ob6ZEh4o1?3zLqpGc1
zqs|SaTy0Y41leNMHg_&paxUi!Dyl))mNY~DAIz#=<Rgk1GB#<IyHu5IT5^}_%HN!$
zn#iGT?h+||s-5hTApNO5?@~(oSu5E!Uh(A)RQCA75G|{#O<BsNN*NZ`sOdY4wxw$o
zX@^$WwW4%gbG#ERUC}DNQ%%~dCBG9_dnFfm>HUNs7E>C*(nE_HU*w<-siYlvCr(+y
zg&P<#06B`;4PK5#tJ1BmqObsF)-i{0ySAxYBk7!WyIW)FqL$D-QF^8g>)t^6Slisa
zn(U7;>sE>KI;l=$Fm54B8R0+7@@F{#?oXu@P4zP}eFzC<2zE5cpdUhd8CrSN5oRdx
zJZ@n<({F}pDLoWrCnr@flT;&HA*TuV${r%vNc@!(;kcT{7<4w%akOf_5^L&fz9>e~
z*VXD~${|jv!YPrI@twohC@J$$#E4X*nP;?uo@FDx=FG3eKpfy0L%3KA=+#^~%>1gt
zM_>8b5n{;tk`qfK(W9Biw7tDbOS81XUbPjCnH3TDA@azz2dH8u!>wA|<al|GMVp*l
zUD?H1igOl2-gHCWnO4EHBHZaPiu}j=K}t<U6$(bfrh1k4Hrn+QGE?GIuPDl@jJ!tT
z6K!Qm73sKkI;DZMMRTTBlU`_vsdbcfEIFE;xY6lfv{k7!lpi^@I;V0JW)AggPK-sO
z2tm9}!AG=)y~`*EnHQ#=X%*tlHs8*TDg`pi%q3|XdsmP{t=bR06O;v_PRf|(9bvM)
zwW@u}lw8H>FPEYb!x_#0gjp4|__{H4;DWcQ5SKWyDiSN3O6_CSF87I$W@wN5l#w22
zF@4J`-*TSfG~e6DV~Bo3da#z&H^ln_^P+k6P~uo;m?<RKs_pL^F5T3sq(ve4@HLg@
z24^k-*ICRM{XnZ0pH?+u1t$lZ@!|+07&n@HLYt6QR=LCc3R+^DvZkCbI3bF|=LloO
z7io{vDoS};yMAHRzPpdN*$h9c*1lg^C4fgVil%h;@i>~Vw59z@Nz1eY{o<wfwLAT)
zDj%^(j^^XEcKsFQcP0@vwkl5X10~Z*9OcB)l$zxeZ8qcwPDwEL0D)RcJ4N|`lgd+v
zp+05IiP@)B8c;=f#Objj4xcc<M_JEgRWmFXC8af5{(wgEbBiVoEUQ=zl{9xOMuyp1
z&w*i?f1%{4Z2#oG>3xQ#4oOQMnU2U~<bVZ}7R0$Yf^bElC?W=Yq8WwoCx$;9H@HeN
z;vm6QiV;T#uF{M+9&p9-hhqR&8Aj~<U1b@u!*`X#C)0J36XTeEk5PF>1&k^%`iD_P
zMyD86Vzhx#WkwtVxT^4ny}v7-(E&yYjM($Lsxo4a@2bYgi$B%*^9`rHk;#yKzN-c!
z_V})vjM&q=YB6H}?yAj*-MXs|BlhL4y8PM0Y4sT0V^p6}7NZ7?*oV6sGMdV$5hM22
zu0%#~(wYBpHD<^T+SP<V`<dO85qoCWn~d%=YQ|_Aqvnj*FS}YWVvp=<$scyVuD2N7
zX4Hz&d`7JqvHx|oVYHP|TSl3=4BIiZ@TWb0*a5qe7_q-~bzroKQAb8L{=Cf}_O-4~
zj6P-5nbDt&x-j~gQCCLnab555hyARp8>8<Sb+=~XyMy7ooOqp44@OrQ^<=b{Q7=a9
zb6v@d*vYz5_(PnQ%7~q+t2d(@MtvBuFLm|h&vs5rV|0#DKSmdUGF|-{KI6mzj6P;G
zkdZ%sT>QDkX@eM@Wi*)4hm3|WddO%fBleoEbVlqfT^WqnMY@JDV!!Ab&WJstYXqbG
zOok&FvI}&LV#IFGHJU$XIBg6g_Ia+cj21H*$B6x$Ydj-%ZmtQ8jxn0ZXcnVMjM%%m
zCNm1>k5KtJoR(!}{bSGOn!+6RX|Ab^{==VX{9$M2dXGQs#9Y%EJz+G1(Q!sI8Es)S
zi_r^4vl+1`bGaG)!svZQ?8jW$jM#a(GUqTn!f-Al_FArajO_f$;g7_h`TPmx&j<Wr
zhvm{3c?*(1?5tc18L@A2<uYQ2<RV5s{8_}G8JzYZqX!n&zr_sME4h|1`i;?2M(mAT
z%NPaoXE}dva@q<;?0#G;83poZ6@ON6+DD8|F#4Dg`y1D4M(k)@YZxtJv=%7SmB(-$
zC;IW{6aED7XFY$uV(zDmmNEK_(ff=xFk(03+Q^7KjB67kb}O#UjM$yH@))rfacyC=
zkJ0Ch*n_yX)?&!s!?lgk8b;e0J!iCok(EC>e`a&qPDX!iU6CGO$z%uNR>v0<^iPgd
zgp+Wq8~!$^5ae^K#XdMAc<e0PYBR5I1jP=+tzHQ+D0UidbyaJFa)@%DCmR$y54SpZ
zg+Z|cajSnGHz+4-vRj>b&LG)oxYc)mGbnZ(ZgtOHgJS35R=-fsit5>cxYcJf4Jt@T
z$y{bo>`2^dylzkj1a<$2L9s(|tFz7;)aR@`ZnfT@2I(clw35FSRj_w)tDi<26gwEV
zdc2-Nv6FGD?cXvew&-qkdw+vs*Wp(8MV}W^*a^ASzvLeT#g53Wu5}p{oKYso1p5WS
zWRK)l&y6%F_DXJb+*5;M&*WC~-@YhvvQKiWhZY$WyB4>)x#lIoV=v`azd3PPQ0%GP
zs>M<$D0nMS*7H9LDh%~yy44?MT@xgGEw?(R_H{wA=faE*Gbr{-ZZ&Y{FM`K@%dP(Y
z$FG87-vuh-cR{hcajVg%9|($lm|J~O<39sfyV#Gp)oBf7L9s7$XR1rdDoA!{Zna}$
zo1oaIxz+C`tAetKDxQtA3yOUk)N-OjQ0$}JYW7^GpxDQ`Rlnwbf?_}CR;$f1DE4)3
zb@8_b#s1E%W;T60KxAd72TfRHQ0(s9YP&NAbw%*r`7>1HWCw_*>BR)aPSCB6ZC+eZ
z><8Uyqkt$uu`fhUpJ+j`7j&yfR>TO3{hwP6&-}_D*)h7+%Uw$fCc8wpdhdtQf?{{!
zR(HHvMo{b|-RiFiae`t$<W@gfTV7D?Hr?u$$rS~~uG6jFNvI?!cAsu_Su=xT&*)Zr
z<z-eCO!la5HMMw6L9thLt8Jzj6gyV8y8D<xv2%5+wY+PIoa|QJYL_+!#je$@?((TE
zc<eUa>VheC1jWwQtqw0<S5WM5-RiB0bu$IYUe~Q|I%P1~^Sae9%hVG*_PK6#MsR&W
z<qOKW*r3?Cy49Og8VDY{U$=T@r$Mm`#-iNTRPfmOy49@52E~rmt(L6VY(OUKC3|7F
zI(<nqk(E8MTOI1tTu|(d-Ky^*gJSoJ;oi|w@YpN6)nV1%5)^x82t8;}?47YFm$wo;
zcF=CM?5Ng)V!!BC>!fxZkerF?*;BjKx;@_!O!l*GwbP#Nf@0t8RzE)fuAta|W2yaV
zQ0&9q>WJ<=1n;<@x*Rbm_T_H%X?Rb;V}I^eZ;vr3_UUf*+Y3x(D#D$k`Z~QtR(9!V
z={$pCukKdUPZ|_^cDEYz)S%d>yVWK!eMLF;*KW1&v;Kl&FYi{pV+IO}J-u6f`-(xa
zw}%vWI`cAx%Xh0Eo)M&Q_HK3E_rpX%cKBF8wMGhxoxWSmxjjly?8V*c#FC>0^*~VH
zG#Mi(js)E52j3VJM+0v4amrZ1<A}hmUf*p{nH(0l)zBW}1e3!6x7u=&L2-ECR;zqq
zP#hRQ5kE4hF9g-{gh6pIfKEu`g%pkl(ED-*#W4W}znwvGT;NvMk20vQGDTKeVUQdk
z!0enfC=L?b>Q9ylLMR6c(2ME@^}C>M^)M(77~JZl83x5cgImq`#Gp8EaI4>+GAIrn
z-0GS~2KC7Bf6g)!MHL)GxYdS@3~G&_e(PgU989>?L9+~s0}8h~b-6)tP~ld~?>DFu
zf*M_Nl90)vlUublGN``<b*-a8owWQX1k8Q|4e~v~9J*)H0PT$lt)wYh=7g#^!Q3)o
zu$*O~_Tf?otzcG|);Y7dHskZwTE@f>?ZzahR=0q0DdcbbezJCYa;#Q%+DPsGr19F`
z_ory@&6;e<aeYR6-<CR3UL{GPQ*|YOt>gMct>*lmbh@O}oKjlhreepfQ(DUXFrOT;
zTb#EbE_=8TIAdC{RwHYgHhX#x2)at?zEVd~_ueDLL=Cg1_q66<JE^^R&uvNxhiuNh
zhf0J<@6gI9DNdXId7J;y%o_81z0!u7SyQ#?vnFe`Z@1yLK<vHOI?i1}g<d&gUy4?0
z^CwO-hocnf6{KF$eL9#bn&{Aya=f)?bDUa(7d%7;9lsz#>vwpP*5$L8X_r?7O6gjM
zt^KqVl$bGh8rnXU=6gvkwA>BT(3vyZ@87!2Y78-%xejgg6m#rqW=%m`FPm+BwWi$*
zrfFq2w9w`+D34w>*J7qds~m-J%ZKe7rj^;=T1zBf?dJT5|63KJ496;5=FW=u#Jr_h
zCD;F_8!s03#l%fTSN6X?`$ngFl8`cY@j2u>rX`(?(9SGxp>pJ7RP`%{x|cR-#c;@2
zD`aT5?s;i%tolLP2(@f$D9(@_t+kYoCSXc965^7pKF-tD=5?dcT2gD22tn~bXiy|3
zC3>Bz)i_>^wzZbp2*SDMyq3Q<SnK?EYeCP;57ufvWL!dfv}Tkx>0loS<}k__u{PS>
z%MNYQhGLk%5t{xB%MUFo&5~Xn(VL%e(;_tJ6<Obr-g#B+p<$o&rIa?f3d_0W?W+}h
zY88{+U|}CB(M@`rZg<87pz?KVZROu8UFnEL)A{dy+NI5Dw4;SImE>fpsWxg#8uwJ2
z@#AQEzao~>=#Ek-mJmmJXmIv0`l+<^E~S*lo%@H|Gep<81NoQywYCp>(wwGJ>xBha
zlvpCZ)F2A?_nwj9zVthMv}md2ZR61}6ppS}$MlDt7^3ak-4&yI`t=FsA@tPqZ-JAr
zz*<v604`%EhDssEu=G33tq9ZZ?y=Kl2O8nEca$_zySFoy3M^6x6rD#aT>EunU!!Ui
zFl6j4CXJ?~K-@2v-N2e$Mr*#mH{=wj7`x=6$zB+?-jCX7Sx5b}Pj&}rH$Um9@f`O!
zGH&5?DT_usrSa&%R?Y9=P_6i}&$N^^4(;^8fk?|WOilDUhgSDUDa`9Nt<R&@MUr0a
z;@KS;TBpAaje33DiWX_vX{{-xniNFgHE@Rvb?AyUYq8ScNElXAF|}gH`e_d)vHlsg
z);Ky?d-`J^vOs&Fh#Y#eA|5Pk<C!*9>-BYKEn|E6e@*U=TPKCg(+B@Oqpxb`k6(|_
zhAcNn^yOs!to1xST3c5zSi5v#wD$arORMqF7{JN}PTKtj))bHCkTVf5NP{s@n+!_@
z9n_RRI=nOwS>M0=(nRgdYR)TM^cxDwI|EkG5!#mHZM2vIr&jo5ChNUXQ{m@<=q+y;
zkZEh?_cbI6tZ(x6pAJT)pK7}<_I@cIgKM@b2hw>n@n6!lwFQGQ;=WdG_r=tgC10J>
zOBY5#^cA{Y1-63qH|LO3TYhb*R%XL6t@UrswUlE4+SAL<SBBaT1(v?9{$)30h^0RI
zMsG1BgMUt?QVpfnxFCn7w!13)o=|DeGH&szEi*<5g1>vcB^lBV!@F?fQm%vw-8LHP
z<xCzma^T<*RWimc$Z=i&Url;dWqI|#biRfSEvk3#zbc`ST2gPUuM92ma%<tkHOI|h
znw5f7bHcSx9|+}k*oF^JA3j1GHU%Vm^;ZRB@FT2R<Eb6Al$|!M<t<;8cU_n#>d*kI
zo%JXB-nG{T%3cMmr$0h@_9`A5;PLW8nJ`Smo$ar!$?N_<TltCwt(kSwG}ywDim9kl
zN9spXvh*edw9tNj7^rpmBdw_6pHziaO>{~=TFRXuPlb!=_PbI?UV-*xyp$O@GC5h3
zzV5GGfI}8}lO9b%yOz8@2{(RfL6dEgs&#*cIO=bca6b*FvXN2~t;71pFIP{oDJJ{C
zGhf*GzL1x#6+D}%oqGN|-3XM%U^sJx$DiVZ^9bob{9ksOmg;WKb%awD8%7Rs7S)WF
zI#8mY6p$MtsgxZe1qjCr`}Z@1D%37qnnq_O>8xl44Y5dLwSPWvfu9Nfc8XD?S&~1s
zDJJ2`jK@Mh+{+foFxiE^(l}viX|p1YWt(~l8H=HT=R^aiYO{Vy6-@za0;_y&KfEu>
zNb57w(AJAaHZC~<PUm0FAXt883VFq{kB97!UnxXO?9y1I-Fh|6<u7r*vu4`M9&T+W
z)v@+T&lsmQ-amzY50ri~`&!5*e;{Rq;RRdT;WkAsCK$?TIGm#SrmE3Wmw%7yzdRe;
zs1Jo<q=GPMlKfD#;;B5(XbtzWNPH0T?$p~Amt;x))oks5O`1RK8t=Z@t|elYYiSuz
zeBhA=z0|stJAsgN=9QrLjiW_=!k5lOO01QKUf~;hB~yn8GfbwwR%s9dl~i{#dJzrR
zdv?cgl{fFG_I0o0EtC~Tqz|Odq9hUZZuh6WcnC`<CoR=tw~qwturUmu#Y)q>cyrG^
zcqK3~!Ws65$a{?Z>tdt8r9D26_xxNthpX$b*Fd;R%i^S&BvqH%P)?lWr1&_rl!Gni
z-6}8ns(dtnLbN$f8pV-OPpDrb$PcH}<)l%bAdQw*kjANeRPgV-HI5cl!+wZQ56leL
zSy&HD1)m`xEjvXExY3!r`~#J2i1xt3v*Q29N*zjoeANg_&3M}AM1nLLE%^m*79D*<
z3Z}U=u)OA0lYY`_Z4+j+iqJO^ES#*4rCiG<wfNx6FxvPAI(s=1jzsXD){p|}T6Jj<
zc3fr>VvA5zuUcu}+gSCU4c9c`j(Eehsh-CT)qL1r3_T1{JIbkwYIqLNT|VVN*D&C1
zsi3XoP5w0`J3Xx<1xZi--Dm{BsoIU745vUVlcgZ7^Jix~0>jYD<GF82!~Xx-wuo$=
z-qXfJiMMYrIF+Y)s3&Ee$oFb*F(}B43E^82o{*th$(vm?|1VW48Xih$Dzfm|3TGKn
zlm(+ZRd7+;5yXHUd0?H|+=qU&t(nwBI>;8hGp%eOc{zn=GwhZ0+VJ}Sdl0BhBw};h
zA05R4DH?HMb!kj3X)5A}{{PeS7e_lj5#EfJbe4wxSNKocTT8t#zj$*n|8a8`kHPLo
zUR|UUMIOssNei^7i5;<b@Td5$P?Ov3rIRWj{qW2pe0;g9@CZq2XY3!s{-3Q|#jP6%
z18+!I#WsbecanNwKfs>Ws84!Vn2-~lBrlrNS@IJjAv|q*7by+<yk=r~W8V0Ti6`Yv
z6sYYrs&~flbUXkYp-uTbsYqH;X;>7a<+nRy$rSCIhWyjl<C<q^_il=VhCpMu>v&7G
zwWLDF%f;vK$$FE$ct7a@bgHeEa4wb{J*6XB!Sa^Uw?c@2L#YoUogj?&Zx-5@B(<VT
z-GyRa5OJBYx}fzTDxYE*1KY=={S&l;e~QdOAk0CklrG)iz-qL#g8$c>7WbBdz4#!D
z`(K65q)EjnFHOQr%S!yVf-d!z?09m_Fz>0a6@$g+T(4!OR(+(VVDX{X>#Vzdq;gVO
z?L}HiYVY(@kc$t)UeEP$U#Se8=?g=|FE#uO73XuZ*E1qd3&`LLwbxi$wPwNEoPJ)E
zo+gz=7CuPhEcLllan!Isc6vM0r3#ca6xHlXmm1LMbg3yh`$;pAozK=dyLh}!h5cdW
zruUbIc=0J4r`O~s9uZV95IfaP{jqy`-vzTYbbwS^##?DT5urPNekug<LEQf;fR~=0
zmm~Ip8RLfbUVxW<W=d%<KCt6bU5ly-p|<H#dD=EmTIj_`cFaYXiYFur4^MVQ^Ertj
zi;`SYT^P<sMowx!NUFrI&Z`cHrNBW_12l|}_E<<$eqcgFTnNPO4w6dI{dB1%*nGOj
z?7E&8wvk>{%yw4iq$sL0ND7l`6|wEcELpAe^<b%&7oYiY`TxgwpByALqlk2AIrpkH
zkNhmEHbjc1Zw4cfNg5)R#1eV6aelPh+b@J#_mg~R!Vsw;eU%~2&g4VUNei--^x+u;
zQim=W&|rkP8htH^&n{m};zP>UlDO5cCGm0PYe{@&i6pNv>BIZ>q0__A(D&%xFezGo
zY@xv6(n(3D4x=%avENF?sl*5=k@k&~N>k<tsaI}}R62L0)RS^Dk&?yey{$+ZCH0_7
zBRSJ3#45{?iyn`{Fm##*l<_BYbmnNt>Aw=>@1x-XnlA(T;XV#)#*P8w{jWgI`$vkT
zhfJ<n3bM^3DS}3i1vzjF$OD%p8(kiYgPgb4gFGHAm#0bNz>QrDvTz(uCw7hj8ZurQ
zMAh?vo{X3J(k|xSioo0GwG)u}$3-B$CQ8W^`U%kc6VaBOFM*C%l8aG^NyzfyOpuwA
z(4&&MK+h*hy~wc&DB--SP(}l}B(0r{eDkxB_GFISf|4>p7ET12zDlk`H<`?v1G0UV
zG>Lwh093dJON~D92_d|W_NL$|Xqsg=7)z#LvoPf|padtxKdoYMP{B!`U~2ihT%4v%
zg{Vf{t)%I2I{b4Bs`Nm1Qt&h|#_Yn-YY;qX8m!+>`;qN>w527rdJoLcX1^k{F5Tj^
zOFVLrltF8^0io_dJmmGG@P>GbUv>s^+<hPEvuEHCXw;`bBRg4YQMZ|3l;QsDor%M*
z(MN#l&O!&qej&lgFSb;sJF}4G2G427*-|$O*aP(97cYgLyRkBt`8w=$tg1DH9?nL-
zpLB4C?m)Y(qpbck%nea5X1r3OFLnM1WQ9f6ij?<0O8mVO<mN>fpJLhA5PdrrWZQk#
zs&qXY+}>!j7>0IpFbo4U&bu4Zf0%<gth*89i$x%N%|)-O^ZdUESM2m+E;OdcWRL|P
z+3a-P*H(%0=RsTzmVP@ACCcX@*!^NY$iE|PRq4+ha5t?6i6K;IXc=1tnm!+C$vnf*
z6NPTihx%VX01`sqpk*I`JK;moyaBXhEYdgpZHuSf8q(k02T}~uZdr+?77LJOTgPeP
zN;UeC$)65^Y_w47N;4M##Vk-%%3mm@QV6%=>sCq$O36jOgHu5s&PCk;Jg>+XN7#cW
zQvP(1qK?yqQC@Qp6PCA6X+}#INr`B0;c%>TjLt-wyBs+;?^B{^?}yR=`oL_6LTwjI
zgDGk%tath{DTWe)5es*Bs-aY32`U&n1;sL#AnFU`C7hS2Hm0<tU~J{(g(-`oc23n!
zx0j-E_gSU#+9S)S%cMqBVxdtsijumjvD9ukitX5rwCR1+s&tjf);qXFBBUJnNL96*
zT6T(=r3TZC6=1$N3?`~*Naa?7e24WPO%Zux>1$4F{sGeBSHZw}Z2<aim6S=X#$!Id
zRukxxkC0<6Ass8b998=mWIG;ltV9RZKd<`I=8tifafyZ0UJdP;a}?-uO&^77KT%`o
zpVcT)zzWuVjns$E^Mqod&!(zuFJTK5x|LwBPG77=zMgCz#Z**Thp8yF0_65}n9JPF
z@Z*V}NF(T+8)*&ZqlDLbl;|-D<jEEGs<e#BepoiSpF$(82a&$$Q`p|EY?i`5!xnr0
zUZ9w^US;UmXUO{{ORuy+8bg&?1E7oweZ2v3f2}njdu~K!zwyvcUhh?zVm6^fE>DJ7
zV)M3o)uw}-_H`E0pp6PW+vin@x@<<;6}ISDyk698npY6jI*J#>e=#Fzv}m46J@Zh{
z12z&^L=&hscMAQkKs&Y|+rW7si+zp}*vCy-`8kwr_{Ts?+jtkJW?P{b^|&u6;YE2{
zF+LC2`ioXv*^Z;0Ax-V{);4rLo(-IsjMLks6zZ`AWXt2;u{3%+>iLCNwx`r!n)EqH
zG<!S^<<+_2u6G2L)se3cE75G7z1A$Ca!#LEirWcBKek9;m+(Q<!sGxpL1DX4(f6Ya
zhJ$9t`$W>=UEp3Bjx@BTEVbDUa^PB!utB}4Qqd5e-h-p_mCbF`eh=1j4;CVthxEbp
z8{4~Hdm%l7^>KB3pSl#W50ad$ag+B+-Dxe`)F=DU@$*n%ny??58OBZC)5WI(RXKpn
zmqvi>IUdeq4U_UQsR@<K2kOBLcRqUm6=sPdQ+ygy+Cea+%^;to`ZOosLm<7_6JG7(
zlR&GOe9WeF(^rUTN*@OKF)yJRhjBI~v43ti2o=>l0!D2%Y{`=_7(1ABzvn4d`wNiv
ztsv_U_o+h1nCzbqQaI$KFF|Ir6BKoP!(=?K|8nDeLaFsvAXnxZ++;ez9zEeGx?hbA
za^6v#YNTv3xY6|HF{y)i`sI46^3yPcIIa*oe-L)NN->(kY4MCUGpf(%dq!_D;wN6N
zE{yJSS|3Ks8D%hXGItWA0#0)?`iBuQI>l(Uo!{+kV7P@7`3aY6KclCdc7o9XM&}vL
zWOSX;=ZyYj#ILnnFBpBpX$~)Z_?4Ec7$Y~MvW&Jds?I2jQ6i(yfHGZe8D8VW?u@Q7
z>d%N@V!1{#+QVs67~Nwumk~}o@y?LZeMX-!n#yQ9qsxpAG2(kp*J(z4d+GX-(SA<5
z!RUM@!v_r4GO~E%vyqWMBfd*?MKbz>(<(5!&8QY5zF%{_$>=nr4ve-k>cuFR(I7_r
zaLP57(OgcO&gf@GA9(Y-(M=3ja3bG_xHd52OApsBMxQeJk`do$xXv=-hf%IVMproP
z7Nez%9y9umk?Mob4o1O@t}`mhXfLBGjKt&L%z6x0a$-wH#HcePe(>b#&1eaubVk{X
zCNj!lG@B7WaB}4`+RkYoGvbF$t~^HPIBg%Ji;RvlddBE`MjwlJqt_VT;>3H5&N6z=
zsF0D51D_8Wg)@4{s0^cdjH)r($*2*dUm3Mwl+UOeqce>9F*?L(1S9b@I14D#co95@
z6K64dF{8tb)-n2$(KbfM7#(CZozW>q8l#Jh#EanH81X@(>pr7hjASQ1;tj4JBk>@(
z1fyS=TRxMacpF@k5udubnlgIAD2dT=Mm-sAVdP@;g3%a8>lnSq=toBL8LeitoY4_R
zpD{YfXeT4_4EPI1pNMz!-!K#}g0C=Iz!`5c5-)-uF<QlGiZ4Ew7zHsB?|@?%&ET}k
zjBYZj%jf~47L2}S)QQn=j8Yl#^B>nxM&jv@YXU>@`gazi8_ZtFXa%E>7=6KLGowX}
z_A<(2bc~UB^7|bl@#ObsMqe@aE~90Po-ul#k+&Z{A2AB^WBbPk46ayCJj$plqaPSG
zWb^@}){OQsdWX>?Mrn-JGaAll4Wmp(&lzPi5>I|VWHg)8)-pQ5Xe*;TKviA&4FBT9
zlZ;L>y1?i?M!y1$%C?S7?=!;uDT%)Ov=k-L<qC2DW&I=t=}!x!I6(*MHNTNECHktS
zoX-2;-qfhBC)20jN}&?df%-S+q<2l&=zFQV2|qh8Wtgz?1!<y0WkTheRB#_#L+qiW
zsOFDSOR|N@vHC|pN`Vr?0R4+gTwcJ0E4VVC+ab1eY_%h)+)v0}7;1~vwV$L&iL#2>
z0`)^zacF432G{UN#(*2IOPx&^{40*)a#x|^oR8$%yj71R+YLy%y9#^ZVK<~NY3FqB
zbnM(q(4pUv9<O<uqfq4!sh@>v{f?h-i?Z0$hg0!8$m9J7_75}epzQQWo5|gM7yDyp
zNt;oa>fZym`3q0I*!%ZD+bkyc?w{aR`$!dK>(C#gaWYWnZ%9sAt(sZZ{EaM)+Z$PG
z^BF-e8q&eTefI&l`c$8xd|Hr3+0ziNg+D~vS1mjxaBk3t_O`^1;_M?Za(?kjFFHI3
zqL?SBE$<I6v#;4tq|*}9f%=eVQlu;(Eqx(<LWS2Pn+o5^H-X!e<nd;<A0;`+$fiqH
z*~@_IN+`0KSj8?!n=sj1u4uxg4msF_hkWHg6aL~aKQ+bv9VicwsMiX+IjlI}7)JS9
z?B=K>hsa;jfbSKPi{p+8v@cY~v|UupEak(HrQ|;dzI%qtBk1pcFjs$vBklPaFS8g<
zL}IB;aTJUG)*J!aSsYmoI@ELy$_7(m8FQ%hNhRbm64QbDwn!O^LBM9wJQ4z)iIGQ3
zH1R7XoljJv>0BuYPCu%|>Wxdwu@d>6Py+QavGN!L?kLOIyH2&I^RY_^JuZjr^Jbep
z)ceKBeiGAx`poijR}<c?AY&~&8tr2)ARN=A(y1{%v3mQ;G8O}1fIg{;JW8Um?^@FN
z+@=IgN`U0MDW=ltHxlGviRnP{t0sRdx%F$+<ex3nvlUv7ZF>}Ts)Ygxt<m!QTAa6_
zt&*Ty>&W#445WlidxSo?t~^hs#0?lJ&q)xjHaB6oV(xhd>(3i-Nzlk%%@U<IX(Z1z
z>HLj$mD+aWlbv<YSD%wG9TgkP9~*4Fu!$Tl8ztl8Rh3o-B4<vPvn*w7^Rd$8$uJM^
zG?TwFrA23|s$RQ=?EAmUl+knEk_*k8ca|$^ZkilIr`P-7v~D@%eA8NvH_Q3ItEhVM
zcJc-@cTPzkRlm|+zF^V^-j-wZKRU>V3|a?$^(8Bs{H8f=`uCmX{jVhIUv`ySnDXz=
z#A(H^O;CNt1|OTA*j>)`<a}UP^*is%<IS8a#-rDBrXpv~CTt?a_<Y$*&NH(=pM&i4
zQsg)@dqFdssu%Q@!%UjHxg$*uc!fl-t5d=*ADc0HBl^onO=0GkR40s6sJ?8VoM05w
zuMCp)SKGIFi2SojpKgW*e3tI%zP@6Ze9dG5#!$aa5Ore2zebiYvLSlhXnB!G=-YA$
z{q`97%U9{E<K$juvvd3~9o;6%KX@dYgHlEGLx&ceGdZXKvZ(stEZJ_B<l)mXd?QSn
zC)TLG%5<4tt?sWG@)(gRn6k!Ois>|4zHgz+d#&kwkU5Y14p{>z|B)1|Z=NgrW7!_E
z;?QxTHA25RPi|<^Lc6=qm!}xCe(M9-TQ;)hoW<WK$=Qv~YsyX^FM86{9-xm~$Xyna
zE-sO~yfQ2Mh;>?Uo{hAs`mzt@N`@dEIcu6SKdop9%GKm1l(9_4=~rv4o%ze<beZ0*
z1mBE9mMJv2ipMtxe<TM;Oq<Q__%SzI(4yJ-t7W)NK_@NrHq{e<HX&Faw3cT|aN2Lg
z_?GxY{@bK^yb0qC_1upG+@<?`yy;Xr7SqsA<xOUuoQe2LEcG|Z74+l{@{v~(btG<<
zsq|HhF^+>95N(02xqZVLpx@oXRua%`Y~!umSV4=%Zr;X?HRuvnv#~Kd<uJYH4tb%;
zd1+f>4*HbR>+F;d8l2ofAC;=)%a!%S-SXkr)85+q-)SB9znZ3_>`2+D-qX7fz2Fcp
zOVOs6!-B+O)a$U1qMtk>XUWu}6lUhXPrPHvc9i>G#xq;Pj`D1QHV0tyF);v4ivfr{
zAx|^;8_Qw|?)sXYDCgI&oRZs{F!7As(1g&x+6E-R?yu-ttMAwXh^hofto{Y(S&!0d
z`lRzwcvISbk^M#;oUw~&u;h>2JkVzIk}q-dKqu%YFUyln*2;Y_UJY#)hn`U=|7s>)
z`9*I3O6{kvvQ7v|Ni8fvgq-y#@_i?4eHQe{`#KLivvm~wR;Dd&5VQREeL!zY%J2j(
zr+(+gfi@fGxXFzZv>3bbw>X{<H0v`#pF?#2J3M<L@$?)R(I4*0f4xEz=mb6FFBxWI
z(0zn|h*`H#tp`%9zUBc}2Z%qsGY^LB=YP05LFa6fqxBAtxH>^+-L~6>-RD0XqThMU
z>&hq?XSM4qpUP`xa>V<jdu}dD(WMs{_nd0xxCiA|K%m|`)n&(7$ifOD{vzq2t<J)Q
zmTx#)f=-eJiUAmiUm6&`1HSbPj^7f>SP*kqELfL<&9kFpcFM{oT?1Bjl4^k-3BKtL
z%+dwl;AnUDAKn4_UtX5RW|sDDn1i+s%X3qtXT^n5^fG60n$!(7uJyIRjT#d7KvM_#
zTS}P4*`@1n>6s>-KM@08JH&Fp%ztSC#QTR?GE6=@8-lZOh(EDXu-xgS$=xgg`pIIJ
z^JWndj(ihgS#6=VT|AKyZhms8a#ut~AI4ZPSAgbReP7aoxe~OPt7fGwQw>@_A8SGA
z!7N=WXK7=?Uga%yO}M_I<+4o8s=|7C^l>W1B*9IHCGt@`R|VSC!omcuifJ8Mh=~`h
zP1|fLb!}k@)tvQ1b>|xvxaxV^5C`HOC4u(U#FbUv4o@6dz7~rFU0Ls6o23Do_TXF{
z%Lot629ZV5t&0d-CfBpT2bJC8Emm^TrIw2>AM)&K);46hpv|UUYsA6@Ef!42#+EFT
z=756`a5%Jtw@cByk36&7tSQg3C<3Ds<l!bz`_ov(<C<B%Ft|Dv`8k<BT7^-=U0O{#
z-U?mx-|iW;nytAhpv|U?Y{N|vv}nrJww7Tg&6Zam+}`rFNqdYgYey)}Z4a}P*}*bH
zrtsq!Ph8h!QevTJD8o8)J)q5cI(OlE1TE@0+?DGQG%K}^5Ec8CQpeD2-1J3|+yl)n
zIPYop&>of$1jOgjY*Bn`PfNN<C*Sv0^?J#c?Iw*_QPsUtEq{1uj`*B?EU=HFJc2FI
zX+?aY^lPueyS`ZC^wtylv#yJrclyGydN}^HEE`Lq>p;s1lbrxP(CZDd_{c_fF<!|-
zERRh7$`BOqG1cNlo3Hvf=+0Uv?j%2ejAiMTy=ET7aAp<p>zrPC&M*tMghn_2LAS<^
zunaY&b4aVd7-d07EchZYyfDV{fyoyO^TY9$`7$jS46lM)(pcIz38Oe*2o`4f$vhu`
z=ECfs$@3v-u`thNS%#YQiV!cmj&|?&<cIB~2cI}gQ9*ZqtKRKB%PEtSzgV&Bi8CyB
zO*$dOV%OiAWkK}9lJ$0O3j#$^N#aFhP0!|~BIu;c7CVLh;Zu!LK6P64qjN2nO(8LP
z$ax^gf=#W+8TA*MbKwKaJr92aZcw|pEm6cnMi{aHy~M(z*2cVm3-GXQlt0{J(<8_-
zMW$23Jod_Gv1K%UJ{-fcW-*2ZPjymPtCjShmtaglG=7d>Ja<@T87;}htklSDiJ?Zf
zFmTZuoB_Je3d?$teqfF*Oh38OvR$UbU9d63?Q=2mUX20Yiz`Ka^lH}F9^KUhea{-p
zC;<bhZ7kN*Tk9-4O<K%q@%5I+CM|TR@@E!*nTrPM@SoVQGb9cg_3@i6R+E*p#iE+5
z!bXsqx7G5GDJ6k*Cx5%eX7aIeeQEg?c>ky`U{LPN_X^NU@3bH)5tTgKWpSE0q0?s0
z!p+VgJ!!Ayj44z2j=K9TH%*$gTW^%l%Sbfu0G1iOdlXhN=P;&rLPyx)5r=qM1e=>g
zXi})2a>Rmdo=7Zgj1{u+4nhPp&X00J9X_<F3&PXsUt0FPB3Fl8Pd%dE<l{y3%X<C8
z9bR;^2a0Q7Ti!A|6#W;f$SDPj{k*_Zg1pnvtO}<s+YIUY-2zK>GpE?v)j!MbS~O1V
zbtjx-XDVnhh!9ee3XVG+l+_d!-T$7~f?$h1)Q>+{N*dX9zaK5w-U*i2S;xC!Es`%=
zB8<e`-_fLh3M_H7>6|l&Fwg<|l|oBBvk2=6^}AsSp(UAUard7sYd!UFv=0qY^_c4x
z907?MpeDYwZ-=vdZUeMx+OL-5W^SQ0kYg$hL1}zx$PH*h!YpfyzV8nUHb_DQ>kuwI
zF&E6vjdhq^JbTN6sNTqe>C!P>f10#sPF4NDJq}Sgla66RfFtrluguCaeFA)G?q&3`
z#skYqPjS{Y(Uyk0JVVg!p{2f2T3`2=J&zD1;*{*C7Q}`x1uvByF_g3pqtoX_Q4?bp
z!PqyDtZ$e(F$=zQbFZ@uB^2OfBjc<kLce6OUNi)YNw~h(S&0fF9DX?RLIWceE9}3h
zh66M@{Q)LQNO(EzUG3IyObNWxIsKiH1&1b)4jUD2hnVT!)?Ykg5S0;XX>KgMiw<j%
z{x^XuI^}DvV74}^E=EMu#Y&+k1z0<n9N|l_+Eh9fW(}fuusPO$39_y+t6=4$ufnV)
zDX~?6)9A?0Ay#-Q?uecrW}RpV!pn4PftiZ6j?+ZZQ=z;)qO6KZivgbyW5o%f;PWcd
zv5F9}3!2@QzBJY<8TrM2PmDst67bj={Q^uQ^Qf%#zw}GL5@&s4%0a_?NtDUCVlAU5
zRJ8UqTOi!o?#kBpE!40%+?ja2@UIs=J*ihqGi=veRkOmofi|O!S=Fr#1)ZQjc*8o<
zWW7}Jxpl4h+lcEBJ@2k*oo}+mu6$-)D<b*zmJoeKZ7X~+%hWM1<zz#={~?6b`Sq<>
z#-chLpkYpYp#YFsT90aE{oNGzVkY{=iR6F8X)4#C#ylRPV3AQU@(exVbm*`tFt>s&
zR<tO6VY?+v|E!tyTa$Bo4}$nbEvz^&7CB#PsmLC++Y+sZwX$NB2{tU8*$lSmhM{TQ
z#+q-iU(Or~M^n;%OQhbvopqO4nCC}NOtQkE3t_@Nwe4udV*ghwqX||$LSNI#imip<
zh@DDOwlOZz!nEr!?XZ?bf(U}j(%rA%#K#}Sk~#N|b&sbs*PGY<-}Ub6VZ~|2P6xE%
z<qNKR$=1PiJHVp|Q&LzFK%0tiAe9wC&?0WE+{cRjhoE_9pdamPMTEk%ezl*qqXB82
zj;Zq*Wla=TLti=23X>-?tsZ1;VrCM@0xyPGtC=*m&#K-k!<uNyTRPmz#{?`IM@%iv
zT*>8OxqFSVUXaPw35UiWy^f_b<E<?zu8Zg7xWNSO3FylDgo)e<Kr{HgF^N@L&_yb(
zPs+4@XC?|W;+zG|E7$=~l~)0NQEU_TPT|Eb3bGy(^jIZN#!%rq9!#^scNnrgs;w7J
zw<18`L>*d<vroYnyGyt=44|Mz9FHkS;3jCpDV=u4Qgj)QS==y}^;ocl9)Fm_dMs$x
zV;$Bu)TD*tipITk4{a7&acVOE1i~%6&>KM;PkL?)4ld&10$o{u@gWZvpgCMamRJ#f
z30ioh6XhHw>5IqExHpzrmzkWGs|f5EYIw$pZ6>?;>MOX)qh+9Vo>zdisr^Tos}*Gt
zK<@d7>jgC9>PH`Q<$@M*b^kTi83wICUu#7y!7RPvdTX)?mwaaJW<Y9mMz-tDO;(&@
zi(F}W*5)SM`?<A~nd|Z?<SM`2L+f*OYiBdp-@B~8%k)68rSlWTadbt+&E4<&xP_VC
zHgieD9pDy%PSA7nt>a8q(R$V64_R@DFY=2iiaTPBkqw%?E5W;}bnBcG&q=>?Mvz~t
z0Q}8x9;vNg@<{C=t8u)77m=lC*D(xKgC(AAT$$tC7SLu}`kdglfKJfQd~F?WvP7ua
z<COJ#gJv(Sw<)j|myMDu`5Yzl8!N&LAxRu3ZTQxTtp(F;(sVc@_$I*?XDBz$Tm4M>
zrRLA6<)~x$<lYzAE*sJ~R$lgoBbx5UAwrsYiPwYR2!qZX9nMOFw7)UVp4XlwXxmkE
zb<iX8GE$HE*^2ldw5f$@*Q~gX6*TWF^~cxQL<?F3X@$R9ajU}gj^A0j;0V9F;imPT
znNuux^>?cuE&b6MM$x}u*l*p&qdbva&%etaTa*;LT9I?fC1<da)9WuQ_8o$aA@<UL
z{M(8EQqaQP2L59mX`yS&aRBIfwOW&^K0&umt?-J~mp$Rh8~PFMEAyXPy9t<}zxCWY
z!AK>nSXICD!g|}J5qzoiR)h_a{RL-bJw~>{H*$Gm+exBzf|G2u5w5rP;Z6+i(!~4N
z3Ph?6s<R&#V-~v&6<^9%Os#3`WrNm$PS7`d+n~XMB~Ig5rk>=mMalG}K2Cx??`ua=
zL89mAcak5A10ATZ^tYiO42@%j@_{yVM$jVs-xp-7D$|U|IF<0c%B?|*Lea2IPdz$q
z4P$YjE9*_dxnY2&xV&OEoa+dh$3n+gAi5n`33`K9z2oR^Lyxx1k76O9%`TpfW=Vn;
zeyc%A+gOtpX7*Gm8;(m3KZYUnJP006E1zKBX)Vi=5}(8RiQAJV<yaEv1U)a#HpXNL
zN1j;0R$ivb5f~@&g7|VJTM8YB@r+aN$~I^)XtOu#s@TSRXx`2B8g6rte=|og)wkme
zYEXi0iOJ@zsUBU;W|58J2rm(NT*V1Oi4C>@ef%3XtSKQ_bf#xb8_rM!4WFUX_swiE
z<oB}^zY4kmD}AW84Len%9eniGV=?N@YiA3mA(aB{`sup1i=KK>Pi{*`DSEgK)yNHO
z&_q#A=v(A|n*-dElyl8lOmE-F1`8p$;ut;a*h_8%W$cH5Lye2t$>YWCDoce4fnHR6
zFWA?c+I}$P>)1PD$039vtO%l<R*tfI`<6C@4I&XHD#&PZX4Sv|eO@aYe6`?+wLiIy
z4gOWotaiDT6^D)v!m)}pq1i`+6i4o_&T@4080rq`U_%5axWby;?r1}dRzwr%7|MtX
zwCOROZP=>_4qFf1r>pIWNyA)t(GSgRQB*JpJMT&ha4hg{w|@y1g7i-B77eiolF?qg
z#!hm0(~XH}%(R|1Trr3$ibU#J$$0W15=D$D=G6D1t+f6{sts3fBDc^BbTpVYb#VAn
zn^8)DeyxuUrdY7~fURh@gDEfF;neS@c?O+4a}vWG8zpC;J$rvbdrA%X@AepZ65e(w
z<Ub90>bY#V<rCG2Ga2__+b&PFrgDc;;oA;xed5p}^%K|BJu_^-y^>SMG8kw|64%;=
zBW*a{6OzUG##a+<;rhwZHh43U2-6#l^CTQKUKv}YU*a5a>~tu0(rtun6}#eW>E3u7
z4neq#jxrC;;ym3vD<WqA6_yXQ69y$fS2K%dPHf)_vx-zgoE6@hY8&oRDBixIHaH;B
zB;g`^&9uRz3K||ZhzjmF6O46mezpyFM4}-Z-?!mtN<io|yobmyoDJkVDF1yt5c12h
zU3x__L2?u&yo(tQtB4tH@_`Mz1W{0&&Sa^IQIN8J4OH}o3v37x1sk=Mp%uRddQ);d
z3ii$Y_q?8;W5bnif`Z@C27o<j(Z4ij9qfeJKDI{$dt_FFA~rg(#HQ%Wm)a1rh`NLa
zth>Ti&O)I*JO_nv9~0@19*FZYK4!BDXvTS)R<l_Zw21RctYt?e=u>l`(D-*n;;5b-
zbNBZ;wu{WsSFX1qloFZpvGJhDmT1z-WJfI>b`eHQaBlCh+jaj<MLFyL;cchFXUGYe
z<zKOjEAm(|MH$~8aqyb;xef8<YtoZ?Lpsdi3$qD!-PYI4guu~G-|ewAVS{LzyuWs_
zN(vbnKiL}4-D^%i9o7zxTO@8Mi^jo_ViUx)o{?{BY>KNNs@nDAhl<)=P(cZ%oQKZp
z1U(PX-~NK_kRfCcPIMc7#m-02EB2uz>~ArX&RBt8ZM6B;RwLKtu<18X*su>58H*Ug
zv=K~OfF6CyhVVzQ3$jtJT`aVTM@p|!P&B41XX8+KLUoh#in$x{4KJD^;W}!CejC!b
z{bI;pTDmX3V+|DS*F?hHmC*k>&r3?Mb9$nWKU}ckJ(i$f&Uexk{Msk-nbXIxcWIYc
zYegQOMZzrB5T?#p)pW%($vP&aq$%xX<&cI~8bxO9$<M6NJI^W{gU6BdD?*i<=genX
z`jB5)i9rYIIlpn_1DK!}``w1S6iy{^qG$N^5sn}|{}0=0ljE`b@c1Jf!TPdWJe#77
zh)Lm93=ZWDcPRR%J2sr%3HHAVM$zQqn6p#&xRoD1meTn*Nn<F_*AsKJxNi%>H5;C(
z>4P8G-W4!7cP+;DpMPxF^fHGJF^%P{=R9I(CK5%kiNS;Ce1fNpMq-0Ma1f5Q6JpYQ
zg|*#RsU?$t2hSQ8J8=9A3h&Q4V4=6NC>SF^bD__&Dp=@(77P7>O&Mm=;${NY3#(A@
z<4a&ciRdI|tRtLY^NZ^%yc8I5!R9Lvs`my4O0d}l7)xWDj{@Ig<mn090d|z0=TvZ5
z^1ljRnP`j9zw=Y}o9viFxZB<sz^?!~yPhAUAaW2T=S}po6ZzpMUjDb8HlZiFf2fj$
z4Q+kg*&)~-PnR2d?(CKo<F13QtY0k7y#_R6zqd*#2pt72c8Unu(2WU>GP-w^vf1R|
z+(D)D6_l#9e1^@b`^PAV07MzQ(@|+%4RG?iIjl5qqNBLsT85WW;958jc6nZUQmleq
zo+wfjlu<&wf`7qbk|Rt%QC7kF5^QmNCM3e!gz69D6a*E5!>!QK3heg;%@Ng($_gS(
zCb=3yHSxl)=<qA&%yNj~a4ODqy>ux{t14KWLX0^0g9*WrDbqT9<YAdw_V=g}ekvD6
zH)<;_DRKbRsB;}9SYjAJLTx^*tJE{;q`G*-Ak|l<;nqDITORymPW-g4Bt<kr@%%{7
za-G?T=L57E%72l_lOkxbDX88=!IBWP*eK>VRdC{K@Hupf838}{nI*`N3a8<CJIM?G
zc2LV|SbtZWvBHUrVlAz;1i{pCp6AUKMZeU7HDvv5Y%cISzrJ+fzKX+;qe`&exwYaC
z-+bS*x%i+Bw@A?3q8;rNmqF?i+bf$)SighvizgFbOx1f^xn|NL^s3!i;c$V4ip!lU
zU5jX(R;%PUNI~Ogz!lW)#?!$$b%a_Rg?S1Q3i;_VJ(Y`Qq6obrQZbZweSH0?*l27d
znkOq9nQ<9r>tNq9X<_)#Fh4z^k8;IK6z33eY07nj)}#9?S4|e~?d*EQz@qB7p*kAM
zVLi)#+3<X)uZ_O#j*WWhA#5oGyI?6yLHN6hFFkVlmeAwV72XhWK@Kq~>|ONuEni=!
zUS*i_gUJ!s&6v^$CN1u{<3}k!n>0owRIfWmnJv@e``FUqH<{u1!67ti*JF=)-7#Ll
zmJYPJte;F^4HC5I!K_KjHk0OSa(dwBTa4~5MsSsx$#zWS6iuw@?^}XOx5Oj6sZ+S|
z28RuEj;tzF-`_Vx&zh#-rbBQrUQT-I=j)pr?5pT=rYpGEV1^FHF_EVj{WDW3Mw<hC
z?Ub9M2Iy9|g2PHfF26*$^}aI3C`97Qf6`n9wqNi??6xLHao`W`EXO+xtf&kcveNVX
zV%q{<N1!X~e=cN&1vCdBg%mvN5Hx~VyMAktf(v#*<E#+p!;5*mnbt99*rW-F!$O!7
zkxQ%}(dA1^l}PR#p?3j#+f@o&+^hzkBVPOlHkLZC#%wff;W^?xxSD4JwAmPCtuoo9
z#r}NRIt5ozg3pdipSxa}A{+F{rf6*W4XjXtFCuvFO$s7jL8FCGo;<cOg678S1)sBh
zF!J+0d)*#2j8=wWil3cAlkaa+5DPI|9HE`sp{z1Xi}78$OTnX`IjJ6lhac?DrP;k<
z>r(gg_yU?PbHxE3WI+qt=RBxPGU;b?5QyC=P{Jq+|I`m%KB9zEyA6m(o*hyanR(i`
zKrp-Mh;mBCuY?=#Q-<<sRDCLU6oYrZ01v{nqg)@LS>KssT%VvteT_~iqf8o)38JYm
z#20@wV*|PvdQzEha<bN`xV0$eTUJNsvBpGkZk~?j9g``v56qwEN6B$C<XhApKZFe-
z|61dRZxzHTpv|c(@tx8}qK{h{PF0~x-zy_2xt+(ejylgX4cg4U`v-2JpvBeQ=>eDt
z|0v&3{QW~1x0x4}T!XF0UsA9u6FK>Kjq*=n?2t2zGDFoE{nIPTZc`Ae2th?m_Qr5E
zOh5FKf~}S)4L68?){YBaxeD7=@UwE(<e-Wg^x_)+!9f2=RIdD@AjTDC_)44>Z86#g
zxhoz1)FT)nMz!DAfrvafoG|6KzX5kMq$HMZ%ionfCYujuY3?#ZL=-J34R-IF3huc@
z=~sGR7Qy@aRq#PA+9J>W+sZ;ygwb-7?W-5uRdC)dN{a)6E9op8Y`y1S$`@uC@r+97
z8FL66CpC)kjilxEAbjC{Wv7u*oJ~N}4GAJ&?rNM7h;FR^N5PX$QIl9-j~^-bO!+Ts
zPAUaUm+(|sYjO~nl+}HoE4ausdT83jXnMNF;k|vM3S(Ks&|x`D`ejR!O8W-rOROqx
zqeMntyM(nHVDz$#s^0gsf`1#(!b=@*p{+OMQUCsxd@sts>#_SkI#sL~&}Jl2+)u@d
z5wwUTX8EhoM?tUL!}D2I#nbsv)mMi;eqwU&@I7`^FJrU?+fQ#3tioGzLA^n!itVS6
zA?^vX8eoCte2UY!@3vsfkA$mGMZxB41$yxh+{DSN!Qlvk@XuVaQWBIhP`_7P#fDB~
z{2w(6Mb)9G@U$Y&i?#5)FQQb0_<}~9_Oktc#7e1SHnANsve$tD%3P1XA>iqwAEm_k
zsyZ|iZxBTu9s(U~%#5J_yS=`8be!79%+6Q9`jQHsfgthZaNbsoQ%0Vn5)~Fl?|-eN
z;<$;W=}?f%reF~;e|0rDipRj0_H1zk8QDiyRpC7>7vaY7R|T3-?i*@LdUg>%+mdVW
zOfI|ZnaRYOJd>ak^i8!?_%gu~S0r`osDGI>-W}t809TYy!MCoCMF6KOa*78Nn5u)=
zHIBs{7yjVEY^pmErd-&$o{hOW(6|I|qINT&aaQj2raH`|#U(gKAewG(!x`OyW-2xy
zr*dEn|MgcG!f9kn^rO*Yk6A2i$<jfaY8lmvJ0obJmf5Y<p(g!`b>jt{v%?Xh!%#ey
z=zewFSKu!@%%W3`JTH`cB(Y%7rr^aLSg@dlVEfx@hDo!hBzQ`5b>Ux*LxkU_HsW&e
z_Z;x&AqLaHx}K1{uqz7&?P+m077RK;&+e{{Gg%(}4-^0J92I`9l+`nOs4!@vB&)T~
z3ki1tED2kkD3LQa*Ac4cq^NjP+2<_c82mAcaWwCOCypuAR}H~$lP-9Im;Pxy1A_L1
zAz|WQw#(RqbIW4=)ny(o|Goo0W<1`$iqgD0fZdGJvj(Zyy>ViZ{Sgw7?n}GZ!-c#*
zM1`>~DyE|t_F(^AB09l0m<CUQuG@#JxaANfJmx)$?pF2n)7>N0jb@Xu#>#M_e{LOL
zEA9UpSJZd*q43htDq<8-_=UMtBR%<oDP=ygoE@ve=W!Mt&Ib{W$Sn@i>rGN|EFoC%
z8VH62O9WF5rl`w3{a~|ce@~rgp|w9@nE&gKeDt7{Tb@B*Ig4i;v^nFKXY-5;TBuT+
z_j%O`TJ#D3s$dB^w*`(gc8>a?hqDj81t*fy-|%%BJ&m8oi%=B2biicmZRV@k3yDM+
zvNAf#K*a^k?+Z9&i!ualUVx!Euuw%rSm;7bmbBHY5#3oK)uvmEu*g0ggutxZhun5R
zGf<+%+;%~WK*_e0mw}*hXld8sr_UI)j-$3iGR^GdiS|5y++;BI=?uy3KW52*rsO%R
zS+byo<R@!XY%G}85olopC0Nhv*u8WZUl^OzkNEO*gPKkGpLs69k~gwY(B@Dt+r&Zz
zEr!}BkA(_aJk~>Ga#_&DbeP-2*s@NCDZn3EX_TvD2qxp1qhZAc>ns?wDfrW!ELhM&
zaQJR@v_b2bLtGj$OUJUr9h-odppquUwB#6&pkig{^p|S5e&>j~-W2%KS!{%g=N`kK
zbLn;3Va~bomAb>s$0nL!qQfYru5TG*<&-+cX8%qYe!+^LKQyArAK|B#316cx1>vy$
zOTXrB0Gfk-;UsrM&|=VAo@NUq=yn?sLtiLRv40SBLJK?^IPr~&7x#kZLuLKxx9S%%
z?fn?G4!<f)CqE96^UkYr_+=Dga>LBqFR0^9+GAuC+EC9Ie`Mq)H1OO-b*stdJ+-!@
zXD}r-@O4o1-&g`?FR61qTwFe_8-E2)R)uVML8rF2r!QwNMRTX2<_kZmz3`KmT}ov=
z?V7qprV)MMkY4^loE5*SL#caTXkXRecpw1Hfk?l>10iTJ5SM=Efe<vGl<Mg>)w(jd
zeu2t`-%%%1`W=tT?Y_g3K%1KJ@GeUdw9t%xf2zYxT3k1kZRlG?N7q)Gi5|D4=$G%a
z(-S4dvkAmEM`Wr#16}a^)t&+LbOu^~<O$bV!i^W_8P%=fy8Mjm1Z|FZ#&cekg67Aq
z`lA<WDU8~B=(bz752Cu8JbGQsVuwQj9jGT-?KrAsNPLH?KeO3?Gik*4cKwBFhhGzX
z@m`{$w;fN~1dYJWt`BzDVIBp|8((^G(NRus<!9ew3K6G%NUUo7vaU;j9s6WtFGkIq
z_*T|?1=-&;itF1#>^Lb9lK50bcZb<=Y9eTHa`4L~IJqUo?1&phqL3^S*GJghW*fwg
zGbPIYi%iEmdTbDW*7X)WFKKTn9i}tka%mlZT?MbV57V$sY9;-X(ssPw#viC%EywGj
zW$e?LSoO6WP7ewl9jTInL%Z;D_H~?mrXR-re4M?OEFZS$0Tu130*tI|w_32nG1gz5
zqCcZFf$D`|{bg50bqr0lJ6;Vn8njTm+Hcsg&lP+aJum%q4f{=#=1Uz?>e?Gn)Q@m=
z;@624Yx5X#b{&TCxJ=`JGk*6}$9NTnztt2=sSWHcsqGEydQUds+5yeleHwA?f)=%p
zOSBI*>5S<x=Fc1RJP3Zw2E_}v*Y-$i-NM&PNA0Lsa5CCqd3@K*j%OoA&OF6SzuCgB
z%k<t%m<0TlsFGB@HQI0>+q3sw(VDdmw5hMx+Sn(UbffPeZd^M%qHV!nX@!|dPO?8V
zX>q2K(a~<jr5nnNm?LJ09ai8i?4t5I*#{U5e(Y|ihr{eny-`;?;te4!(}~k;PNX|G
zu&ubW7N<}By4m?ikQ;*qYA0uJgN=*9?sgmbXCu$_ckPG@L>|21QT2?T_W5Q#+(1GD
zow+x0BwcABbfi;?eZ?yhbx1UuOB~MV75duw3Y2RUkH+#=+kH_QFQJ}b^Ln5YDqPyn
z-rCH<8^s+1?LV0k`6^$3?6UK9zc~Op1^{MR2oz4?pJ5mf|8~AOxM=5VN?e|9Pc-uA
zcZU`AMyyl}C*FRy_r;T29+2RX_WfpM;u`pmQTB<ZbllXK<CoL{=K!L&`dIr?GrQR1
z4jylRVbXZ~i6`pZ7-Ww$hBAMm9X6WVs$+?kv(SdGyhih15UZX$4N9`?DBcMTp2mvW
z;6#zPeUB9tbb=l}!wzR6SYp@o*-Sf*f(6az>vUrmYFqiYqatM`*~9fmv+dY33bxoP
z#ed;pw;5s&(@SRC5i2rV$9}&+rrP82PzQg+Yy$rHoacGYkMp@TpmFFs)4PNoq1hXl
zw6O5A7TBj4^#5V&y#u2xp8s+05-z#&>?QP0KtMX7_a>l7sDesw8iAt=A|Q|;2%H26
zQie__(yIy&y{h!~RzRttNKXi;Aku!XnSJiUeZIecZg0xY_TAapeRgm(5J7Lvj;v{R
znicuI#+gv%afBz)U(4ZRPubV{*Q&YPBFtk>o*#MIPLIlC<A&GMhSSfnm^XYWoCW-~
zM()bRTp<F>$j!Nwvmmg1{DK~Zxm#eI7)MfvgD7^le{p`k@dH?0W1r)M4Q-7bu<&56
zi8L>-<a}zGot;iPv@S9~omd|EdbjMqhC7i?htG@-u8TZx$q@Zu`-Vtd02exco@4&8
zDRPUQ{>y^zC0E<3P^Hai;l9qm)^O2gE)`%L9V`vcV_w?Ar2=eC3vpX91#6gV&P3b(
ztzi=zAS^z@iW54kPo{pPD$?F`+~m-Mc6a0%E4rK>Nk;@v13kok-OCG(h>$TIdm!?r
z#V!Xx=qgz)`l*IEitTtXa+jSpbPcQ}c*Cv$Ejxk|E$xOiIqE3SY4~d$*L-j+a-;?0
zo6>A_u|4J|*NI4&wS-CP>+;D+>^=m>H&epop)7TsIn3q%<Aqamet^|?;BPz^3q0^<
zBu+t}I}4g4&PHytkh|O1BWYbeXHJ^>(wW;F@jH)U9UY%k(V|C@IcF|%6)?x059GjX
zbusdh#gmc^58)jOcjYm^xf}`oQX)R!6N>h!kq<1Gzty7tFP&~m4aeDYY-en{1|}+H
z`mgZ>tMfJ(tv=vJWQK-K<n@U~LM;@e^%00!-ivQkzrP&`3z|flTG$;)tD}*3Z=~Tc
z7u}77-9#wJVnOO3iTmA+vvHjJfl4qT4ci)F!XYY--JH0QWoAU4w2<;48A^?1Ntonh
zb!sbQKB_B>qy-z{j!flKILUhScc4N@QtMX26>g?J=Dr{iPeCg)ul&n1xWH2T%tWKz
z$X8Sm<SX_WFCjusspx_Q#%&ZbYrNp`#YmICD6^s?-$iC7I346Gf!*g|n={a=Ts>yj
zFefhgh#;x1`G(;(2WD|zu#j>9oZ)d<O>nA-k(+jwLk^ZgS+ID}kqXl8SXWM*96JNO
zO^UXlhjP+K4Vc~Sw5r$~Z8&l5Rg%OaA33W=K)6xORmA+m>wLYHOtccVVp1sd8SHc9
zFOszW(m-?oLI=o6b?dqEndfqaW}!s`S6=f%9_Q=b)<n03mLpl<W|PiJ-Qty-c9cUU
z{aL_?Ib6uP^5b!=m0HO8n}rO`HsVFlhIkxQu6qw9%~He(vzeBSaYPtLZnJAqC-e(J
z7VL>m-l(_}%K*b>ObI7Oy^!ipM^(hs!|YP8r;4FbwQ#v@LMbP%=?OV;6k`5X#)&yb
z;Mjn8YFXTgDX13?a?GZPbEljWn<(LtgWL32XG9pizXi$>UcW3!lPf!$P|8mM<>+Z;
zCuT*!)`p^5RVQXefn~Y*t{UE}v0%2sNT*(u8~yoYFO`EZ#bh;y)xaB^nn!GjaXrxS
z13YC+6a|(_5y>mOw0VH)F){zZtiV(g>pdD)|83yBZ2iS_h%5KN;`rrcq?=CWHcC)(
z9(;sZ=N)HbOR$`Wq9aJU(WcqN3Cp@93H2kAQXWORI7iVdHZ^tHscOr>w2Egy`%&>$
zm{B)1cVb4xUu#Bv+`^e?!91Ex6#R|_V~^&f*(0GZ49sWbp_Y@K#msB(J8=pj(b1^c
zD6x-vOMf13|G@c2KyYVg6*`{mw7xcK_7RT@9fv<6E#KaWvlD@NzShNspdysg0ZU}B
zSx_97b>!j6JSMK}EV0-z<g-n0)eZNq-oz!1#D3V%Hu)DP$X|DJ!hj_b`9hD0mibmk
zG1EVB;tOLT;pS7Mnf|GBUO*ZOkST5BR%dbZ&)!Z<)ROGlKF;M9V{ncRa2vA@IP;jx
z`r`#zEm|&m^&aS)YsCmoDS;UI%%+2#xKbe*;fqy7Bb^0k-IuELtiI^Z37<Q$ZVELx
zLIQDJl<}ET1Od@z?qN<C289o{0yoVa>C8vTe>kg~RYy3RXbC2+mprqWaB}9PQCrc5
zTxI6o(ZSNosF^s%SvZ{P&&H_1)3DX3<#>#mu8RVrX2*CQHGr*A^K=4_8i8fh^z=Iu
zEEwGvOeKwql)(Gm7L%N7G{tmJc9zAF2@44f8%*Y(t61G{zMIPZhRJ5~G$-r<!U@GO
zQs;YP38OT1YVXW%)|tT*ijd_N3Vfc_l`dnV%cNNp$Y@N78=a-ibF-bW+7zscqu#({
zx8>;0JQT2I^}tc@2lJiTu-~m7IO?6fz}d`3`Rp)}<3-#`cvKkd<-!Ao@kfieJ^)+w
z5xbb{18}UlaEbFviv$}=1UD~6M_EiD8_O9v&7RA6y5*Q=_2tfU_(~xI7EZji`#Hrv
z4cIhut!D9nE%6_$VetY>bst#k#BCo9Ta#2actgRPA>LRctBH!o$|Pj(8dTq$&S;V#
znNAfn@=0G?vym%iTwU0g0<Zff(xk>P^~C(>ENbJwRt5%b<_rid8Mv~=InIK)flPEP
zuU+Wo!tKtxc4~eQ8n(P)i|2udP|C5uN!QHXGXEY6oR9pvhb4n<X{8PJIk5u~SZp`Y
z4cwG+US%USNaZvm5Ac#MWIUu0VP5{pdBRRZ3!!a89v=RbGKvS<cHbdR60lX6SBE)C
zfu%70j`GYWFm@A>dZtVMQkA9m2BQbJJMP40gUM$8lg?{)vOluS0MNSSN#k;~<bUWM
z#~#57pnm1V@E3Z^Z_W<-ufAfm{fu*z1@lEov(-5#lq_bYR)pzKdP>wtjPR~ipvPgX
z8<e))S;jo{2e*@VU|<r*rw+B~>O~}ZV<2Yo=9f50{I#|(lP+`l1eWc~(<@GFUj&w0
zj+hj2+kXhgoy;V+t~y~M6tdhnm27}qUMF7o1}EOPD|T+UiT4?u`ZTa}n|X`V1#H#p
zueUi}fu&v>+;tAHVAvh9Qq(P{$4tHF#2%)<f~gNLJr||n=_tmOsDQoi&va*Y8^c-Y
z<xy8bvt$O#6j)@^L+4Npo48U{%ueqV#t_9z(Ix1@KajMiL|}-%`<QbF*vj44Pgs(`
zBI&Pxov`8w48tg<#YRRBbN+u$oTds=jz*vi7B;aNfZ8ZXv5!DWe-e-sR1r>%R=FuH
z+;DAP<ATm2+%S^3D7JwMkC<nHGAmcRezUu_YqAO3MnDcOjiY`V8#!q}YGe-cro)BB
zRb<Gw1uMc`g)?^qgdG8{lRI5IEgmrh6sV_pTr~9t$hqAv%rn7~m?#N4o4{;Gpn4_1
z&ie%u`voW@Lb249!m?8!>=dHS_o7|UCWV?=9NsgS*fX5?KN4{@uM70URq2S>JBMqp
zMTX%=N|%?(4zph_*RK{uj_LKjp|O#7)>zyvf?^+SQl4O*#D)V+0b2{rf-~;m_F{iN
z7iPNulRMcyV2_d0JYB$b$|8$>0&BjAsjM$Ix?)1=h`6<J*lcY+Ol&>^?an6IEk#|p
zR3vF-&P<#qI{6MRVYe$DQXM8L`2VeN>_GCHQ%eOio!Jz;7a{CLa0$JP3tEz-!#ih^
z#^=3=iM_}nivrbAcNi0Uk<<TA6=d#3u2&356Z44(Yt=OH$VApEu6;VPnELj#)%Ami
zc&fS1TT;1GY^mYGo>TIKUR#28XM@_)u$IfTkiqQGt{l#sX45)>PEOo6P4vw`Pv=f#
zVoW@=Vv30jBMKEC50(CKKFqj-8@hH|<jf8-@Eh2;V&ZXGPqt(e8;7)=+3j7IUAInV
zNf6~N6Z;fgmdtqznhl<j?@q?;h@xiU<}N6|>+VLxnxD3CeJ+2qnrSV$V*(3XC4aEr
zd@J8hZtZ$%Au&(5$k`5C(3DnatpY2t11j3q1#M2^V3KoDfi56Fc%0LqR;xj-{2>n?
zA>;0(%S3G42Nal}79mGFS56u=(}gQ49b7Q_Y6?_%)6>cI&ufBB2*x%pC`spIz+}|N
z$$3bqMK@PHd!}G>c@LgKg5qdJ4;SXA+1R3fxfSeNKH<?RWH|(w`l%~SN0;jBNBDkh
zT@UCVsXaN~ci1SV_i|y6AyKA&=~9|}WjCxI_C79L?iGs6AcOE)e}TO&54Bv4czOGA
zYYJ7rrqjcfhwAUgD2q7&a?F5`$Xf<+R}pR;uDEDb4^+_0Phq$yKiGwPMM9C?53-DR
z?>>ZKV%O&`>{f+>oMoqaA7QYZ{KAD@s37H7W7e10FrOUmTCb5NIAOgIy0mNWc1A(1
zh@Kr4S~nXKTvK(zW~;AUy~1c{^T0}s712qt<6XU}SqrShyT-e)=HRcj5<i>Z!kQzn
zti-+jt|0+>iSS7JXr`+eIa{F?%1&~9XHmqYcx8nviuQECg3#?r&fJv#9onqsWFD*{
zjjxn*?BcKW#1E%(PZToWFsBW_^EZGqU4>rjjzgz$cVr$DyNj2B6f3&iW`~(PUuo$j
zoUn@!_lW;Laj{*nFrS*klbDbpsT^@nG|>|=)^4Wp2deBE;&rDCxFxXA)r6it2po=e
zTEvwF*jk|Hrf_8e*54CEE^&>p$g&0oisPi1)i9kLU+RJ)D6#p55m!bOQ{JTdt#aiy
zQDLwO2pJm^7bWjRe?w(R?4ne@8}>jLznJ5MM+~4*t6h2RnJ@vaMD<(eGHA~nRR4^%
zT>Zk%Ym(W2y=$wTzFG>^GvH|=23Leo#@H1B)$^_Ixr~6VGRFVFWfWMHkY9gv4YOcO
zp)UGwzpDuC!MHQ$ZE?-9C~~TSx#*Pz%cAjQzpJ=8X}b%1bP>m;G*QZEyM}RU7isR;
z?Sf@Y=$Uo+azDC6=J1T!$HS9(%#8gm7z_UY*e~Y~)WU~9^SmoOGPRdG=vrfkqi9U8
zaIn#rE?36%`uh<Vw7AjLBC>Be=IS8-V$E-kyGG03tg<K&V&Y}jo(5jQ`W)5U`6PE=
z#K}rHM{=39PrG1)PMRFpN1!j2q43{Oy?dqxHWLGX<LU)m)?9yvYZia4eMJ6q+<gR=
zGaYoFR122NS1ZrEJXkN7Uo;G~Ccc`Vr^;-(<bq*Q2(KEWNmk8QmFZ*xa#-z(3z~4F
zf6%+J*QiM?uOTyu_Q0lX$2HCjV5_a4UgsPMEN$KMPZzcs0&{oUa?ACX1<Dr6xZ^5l
z7qSVP`<wbN$x-$2G}ljd%GC}>)o@PoF<onixu()XBxf71&sGOLLRtXiZ1u`tuKo<{
zjj?B^N>8x1eDRM9$ExG0+u*R=X0<0+&}`$)3Qt|x?Ldyn17w$H=t%(L!r(9@W*}bg
z{o(}{LtxZjPB_JUf>I4nQMmg0%5^-zXeQX)M_CkNZLm{BZ%m7^4)+{-+#4B8bGXq7
z@YgahRfu%gvS2Ye%yGI4h0**u7(ei=(w7b{42&AnaA(8&>I=~&FDiFO{a4?1=o#gn
zpy4f9-RSGggcU0fJy@(_Ox%5ig2XtIZv*P&bl<RGtO15uKerpJuh4m+GHd5`<Jw5E
zrpN-kxeTJ}tpi!;UVyUzI4j{hrvm2Ef^IaXz|xq}G46gEHX#`cwUFdwf8m?%Qg-T`
zAFWlbxVsmPE{xfBV{vzJ^zOnqd=YtBO0YbEMc&|&?$0b(-oJZU%6&!PLgw=_Zk%T}
z%Ltr3Bd6kCCZ2LX#D+5}mUD`~(bVU0mV)N{6<D&svgYiq=*Eso;8R$0%$AkiF?QPg
zE57Z*wAG*Xo<U5xOE|C^O9E`=@%!p5NnpuiOilM_4VxQlxv@BC61G6*u{v%H)?u-H
zqj0;e2#u@n#$jW{z+Nn)K6eGc*5IuCHg^TU)?35#8@gfHySFhg*5UUiD&P+X_o3f`
zu*9DNgFfzE&L-fj=D;RypN(duqiUj>x__V^4^Sbunt~3uk1`fYHFLv`v+rEs0eJY)
ziJ|Zo5V+`fyaGS4h5HxUG(GTiI(+MVMaeVpIabqFAPgOc`WfBY-Gkoy+Fg{w-v{pe
zd+6ly^gaCT6rc~<K-7P6=;K_4w66_Vw&$_;XCFMpDc=X6&d7^L^(TA)La9+<R$Tby
z`3x_7S-p)~e+25hR5Xcr=$YFN(KcSQ+JzkL-CJx6%w6r>c!*@?B==-m+6fH4B;?84
z88KH~Km|yi;K!#Xjp_nwp(}ytce;RO%U^i=9lm`q-2cX|`(QWVChiKp{odU@g?8+>
zR%U2+pw1tR4h(-k!|014NNDsY$iyFnOyn|~#k-+8HMR$;O<eSx>4{V~WWz<wj0k)q
z_jWJ$&-Bi`KnidTRD;&{21~C6fn@UfkW7R6fu@1apib2PZOi0HC;EVT`QJdV7Z*Y?
z{Wy)MC_qv_WM`Gxu)iBh-h^_2dX=2a9|*3|<->|n<RHi>+stLv4jc^)rM<1K37gJ-
z2I`s4XwPn=!fH}_K0Ew@4ME(WyP&}HhPbyV@hq_|>l<%$p3x$ya=;^GL376E?syyh
zRWHyNB;D~}Ant&MfxhtQ3yA;YFsys<S=5DMP6rl>Rm0s;c>VM=R{5hN+%S>I-)1A-
zPzB`g*-<>X@L&2M!JTS5YF15j;~wFG;UP8NXe_5U%DVbW8^<EOY8L}F4u41m$o4f@
zx?B#_c)zc~^0X*yFYu9+m3|x#YHG18MJZ;2+q4}wf1lun@j0;sz7a3?jk~9f^8OGI
zCnYSBga}^P25Cx?`=U5iinEJHrMN8OPAM)-d?^89M@n%v@uGx)T__=7|49hgc@hHl
zoP>bgCLv&-NeI|s5(0LX6z367Nr2c*5`sNCU<XNnzE9vVTzn%TU3QFwfW0CiPwWy2
z0sBJ&lAR&N6%$WLaZd4q6c;HjkmB6p{|HESeiRoWo{!=j;`RuI_=k~793Fwj-j0wS
zyE;OUD;!Quz{*~Z!1}w!vU{VrDDiECi0s%1H1=u~*Fanv#pM)#MkpFPGXl#G9AptU
zMnJL;BgkY2Mu6CR5pu|$i-2UeMM#%@79oJcq67}vT@eEIRfOOQL)FAfQCuN$QG|T6
ze<B3zoCwm`Gf|vZ+!CQ?*d-BUvp=G^+~SM~>9QvxR1mu%LIn0fgdDO1B5-bI$S$sj
z5)k7IgIUGv5Qyw@2)S6Q1NJop=vNLL;$;XmGl!u_@h=3S>|6)|dlo{#ZiV7p;!_9_
z*r5=z&EA9{g<S~&c}zp>Lntmmi3cI@u=^ko*>?~ib{rI!N4y3BVwXV(*k2H2Z_@#L
z3W}>FZh}x=_7Q}#uzw)1uyY`kkUaw-PwW;50s90(@Ja{l4Ja;4g7^XgmK^~hU@t((
zDZ2nd!2W;YO0n~wH{$Y%;~%8NUVqTp*yRr(_V<H$?Cb|QWKTZ`*v$`WoqhbEeb~Vd
zs*An*fRkPOAYi{fNI{(X0A!CoU}bkc$oC>0up=J~687SQfL-_?VE;V`*m(~E_S}Pj
z-S!}0pFIfJVGja!)`NgO^&t2|2kfH<5Ig8W@bn!WvTq)M?3f1ud*wmE6DI=p$Af^K
z@gSq@i3bpS;X%MIc#z+5v~rreq5WJKrA>1;v40arvn$&hX6KRHc}5A}nLKdMa~41G
zzC@bxt-G}CAKLz{yLgV}7Q?tIVE7t8@fc_H&$sSUw(Ar#9qQH<dUv|JaCUaU#gbfu
z!05(Lyl*az1jUv_3&CfP3a4MDyJKvrbPL!7?sv@p-%Rj7!%w`ptYTEQc|c|7pB(s!
zm!8J>c1wY3&p#dbrz3vi#Tyk9mwpe_GXD9Ff0pyl3jD-NzhjPG+kooLKfY~mz?~<u
zwvtxOKoRcKDFoTMg_&_lDtMOSC*HS!Tr<J&2UVEq&Q*llfEhl%0fu<|#7hfwp5c25
zpgS6XPQt6R?Kq8}>F$zn4(!Rkby>xcvCPrQzV#u{h7f3D2(&2#`aT5uAq4s{1lk;c
z5+wO80Z<?_1lk$`l|=Ky<FZWZ$-dGdP}vZud<aw_1gaE-FmWgQssurXs)ax`LZDh9
zP@NE{UI@gUl{3nnH(7dZCbT(5)36pLfVd?S1Z0LlTSK62A<*^^Xh#TCyR1%vm#t)9
zoe-$*YfwV6uik55vafy!)F1@n@x`U!@s=zDEfZSaNYi+MOZKe@fmVh<t6ql^e5+pv
zeQQFXwIR?KALt}_Ell<e3xS4*KqEq+FGHY_AyC52kG0S%BJ@@WbUOsP69U~0fp|jU
zy5I>WS!R|@Xu&W|WA}c^zJ(#sqJ$7IB?MX=0+k=B#qd&`?28S7Duh54L!e3_P~{NF
zHWvM#bIR@mlYREFuR~!WP<RNGB?Ou?S;tEaV<~e(pm`zC{19ltWb}VdUPt6vmLZ;X
zlV!Tigm}7Th*$e$nRhcGo`5qUo`4zRr9W9_;!KFA<V=X?=7da;CufFOAxM^4IuqjQ
zIuqh~I}_pwJQLyxoS~bNJkR8r5T^9kpgs&G1X=rr5c`Ed{X?JuA<)1OXvRsM1nU~f
zzL_D=tPqF<N+=;}NwRNt2yspb)aim2%8E#`uX700B?Rgk0(A?4x`#l#exYU(L}f{q
zm5eKjm$zi!l509a)<@73A<*&=Xk`erIs{r90?oUwWwHX3>|0<#2^w4!Lgb~BGs8=1
zvaF$*5HF$(u~w7p`{z#$u~w7pdlCXY4S}A8Kq)tMyyJTPTM__8%(4(@c?h&J1X>*e
ztqp<Jhd>)cpzni_!TJ6%0Gd}9xD#y!c#D?g=<ECBvkKK`#ATT<BgxUEO`B#FE6%{~
zjYcnW=doD&^dIm=Y}FZYUS??%7uTjjtg!sJ$Q|2^cWSZ|Ob*hx;;`sx@3TN#QW?#g
zE};S4tZAe7kusxsIl;z=VpH5_EB*%ndW@+9_Sp+)jD~oV35eAh1Y80H8D{mx?v~-Q
z%LK@~Oa#2kMDRohyvqc%RtM~l7ZB$i!5$q<(82dQU<bUQ@g@_&b{%}9gCFVPckcIW
ziDs?k?#L+H8ne+BcaJQ#8&o(qzB(v(3g)_Qz3sTnx*Ok(-`?RqY`0yb#8^D(CA3p}
z+y%_XyYZZ{J#V<#?|^%27TXRgd^ivn4uOi80}i{Zgi+7DhN52Q-FfNMad(V){}{}f
zwwdOs6YjTdG-#-iA8%^8t2k_5nV+0>KMtc3hDVv;f6HbYOUW19cku*Hi-QpSG8JBw
zV;bY(>H`<ubM3a>W|u4OaW>oUbUoGm(ze{ZcGcZ3i)|ex4nj6xT!piqF1OrqS>SKM
zTyvjo7Kcq-caLjnD6?w1`%yuAdKeXo@f4=I&7!?#2gCD=%QnqK1w4<ipA0iWdgZYF
zU>17IGr(q>C8al4m+%aaw1<V8#VUAO+HF$^^_R~~uH@;L#dh6%S>5wE%(mYAr?zJb
zz8su|<Sw0XD_T^~bHVnv`DJ~N-DX>@>v;Fu9`E#xALgXp4Lmn!bR)ir|F-A49apHM
zPT{+e4GldfZCA{MMxN|>Z1d^Fb5A~VLuXHXHrrV$HN?ng#t!mivD>zg_Y^9p;7|{I
z>^;rmHTw?s%(C15BxF0E33QEc+fG_PFTj(Mk|mq@?Fi562z$P8s{56vx-CTtL3pqy
zhq>Y_&o?$3nH9%*evGiqHE&JwB!}7NX^s=K`4xj-vng}MRL^9)JxS^>ui5HbPy6r)
z-g85rr^53*WvEqdd^^%}o~M}p*L<tTV>TeqAe+r${xI9q%Wm6D`R942VIyO1nCCg`
zww<AMTRb(*y(>I9T=olibmbtv3*(0t%&6~~{{?kC@6Jca1Kw3AjSJgZw?ex7d;X(m
zk!`8&o|-P7bDzuZrmLGhM{Q{)MCZ5Jetk_u>V>ErX7pB1b367>=#2Sj_s^aJCT;hq
z2-_UZ2u#80$<?CF2m3rfgxUVpT>#jrHv7~t6FEF>vu!oe?Qw3G^DXrA(ZAv4(!}k^
zVhX;`H0vGpoD8?^HPJ+6?6%Wp?f-cy+im;JLBDxQ+3a?l?p4LD2Ci0f*BOstw;v0m
zf;}u0r8SH8(7)$AljwFi^x0{@dw$5mpO(FI*<*y;exU-7(82?*c|Ne)4_hsfdc%{=
zZu^@0eU1*|z2!07w&^DLRG2+?IH98R(w*n%X|b~+qs;h!Jg4pU$zf*oe?2q9ZQD%r
zv0Pc~k>TbooAE<7dU^z$rDO1OtPHLWl+THaH^*`q^TO>nC7T84WEor{nVHuZ<FQAC
z<3l)OP8Qo$`o4@Y$o7oT+w+<A${MR|wj;FqK57_Z<jP;9S*X0x&1TzVVn!)yx4n}7
zY3{9PEV9{F=;0x}xX^}AW-A*zZMKVM=c>l<Hrq0@YIVb5xBVm?oJAUxJPH@X2i7#m
zwoea!VDXYzMLcR*wU#l^ZVRW<Lr|+g<C=UU9HXAAWqg{=w$iNI()iJ7!{z@N<W;pd
zu7*=YE!6dk&PJhd%A4+1W~m;)+7@fUV1X05p2mIKCCcb*6fx`cGG^InIpR>MM;@=4
z;WM&^;dCjizfnI7Tj557j9RwGCZ?oScH3_z1}<j3l0(2g;&bDP?K}_V!t{J79`j!^
z6vfX@1$v<AI)7nQv)QwT)2v}e3)>y~bC}T&#{&pT(Ul#xEYk<XxoPrnqf!FfOfb8%
z%>)74Oc1cm1OeMj5U|Yz0qZCTCh34}CV<#xf`Dx%2w2BJz%~;EyL9kW2YS0MCKJ%u
zWP%{Plup90LDnvSWt#~CwwWMcn+bw()O&={Ozf|ISsDGZ=K5t_^o#A)FRP+o7Dc}p
zUj4En`ei}%%X;XS<<KuSSHCQVezCavWhwN_O6V7V^nUS0?-yIEUsgfCZ#%0oe%X}!
zWykB6rF^28S^Z*VohU}uiDF~*%WCfz3+qHNu=>Tm>KF5>U#zQsF|PW>hrC}bt9~)8
z`epa&7qhBgtg3z}3E0N?#i;5Ro2p+-s(!Jk`o*B?7kjE-%&C5{ruxO0>K9w8Urecf
zasBQWJE~vIsD81c`o)Oq7aOWyOsIabp!&st>gP>g0+LUWIw1Mwy`Eo;r+%@W`o(nW
z7t5(%45xnCbNR(;>KCJ_Uu>p+F`4?sJG);DrheHT`Ndr77i+0sjHQ0DmHNe0n&1~x
zsbBU^ele8##ZKxMGpS$pO@6VF`o%=*7YnIhc1eD*kNU+t>KE&%UyP%E*$Vl^H0qZP
zjb99-ezA-C#VqO<tEfLgtfGD~iu%Pvx?e1!eldvp#UAPxbEsdep?=wQ_{A3L7gMNT
zETMieg!;t}>K8MpU#y^hF@pNV2I?0Rs9!9geldXhwf)mCy9d8mKmB6-^otX7zYJr)
zjAFkGV!w=GzYJl&j9|YEV87Tr{W5(0GJ5?oc>OYV{W5g@;)~obn*+a$TfgsRDQR!s
z6Zpl@=@&bvUxut-Myy{3tRLgG-Dsn&?MGTS+Nfbmq+6qn)(C1O7@yhJ(Aor}Gay%@
z(ZL~#@+>Mm7H`6*%*TbeIlJ-I34HYCr-G9VL(}JI`oIMSE~+IO#VCag4<y8lF}ff~
z7-Q5%uyc&j3W}!jl~E5+^RJ9XIySsle+}mVYrir|X~dc!q98l&Wl8zR8VwP28*9`@
zuz0NTzT+B7>#IVOCm3beX>T}{92dxsNfjm;<+X#}*aRaIQKpSEhDPK?)%fb&p_J@U
zG3L+5IuiSJAQ!uIqEo*%;=q34YojZITH}qbI#2Lc%~eoi4Af6J{w*j))TG0jlx>1h
z98qdcFq%Wvo;U%EK_VTUU^LZS|I_kgCmN-J?=;b9gkbSRqb`EfiAEd8LoQD|d6Q5c
zxZaJVetsiD$Gyxcl&4jG!>bWjb&@R$a)azagLE5>&(^J?s&9-wP}oO&V|)nNr@t{e
zASg4*Xs_d@>9~s~8O0)`bu(^LgW9N&U)tDnup3NzISH!8OmZa|^>viLbbZE{aCjV*
zg8E!T-z6Et5EPtj40EjEoWDU0mZE|-PBwaIM3_dDnPPMY<CH1JNCfVwMpM+zhf|GK
z5jQwmwmWq7Ys4#<A4U1&Tl9lWzqM+j5uv$qT3iK^joJ>02d8VCT%K9n9=qLnBYpG!
zdgF}}z8kbLS-P2Rn$bE!`bcpra=&Tlc-Ls%G^4#Hl*uGiGWx|2={~~}a*euwYqZln
ztfEfn?l(v%=sT8->1Z2~UR~1%&IY~y@Ag7cLD)FaXVZ;|96q0JjMF`@v6bGu8AiOu
zG_f%GW*YGh>78*}+*}|yvTYWI=??mEmeJ24o6~lhp1K4>E#R3|X;Mc`dY{nXJ7^sl
zZEO$8Hrx0>cdcH*jJ~ZAeKg|OZ1l*P^zUrr9R&5}V66T_Bj+IYKXhu2F(l$EZl}d}
zsMTlaB&EK=s1fg_1G9wXq?QYe2=Hy1YxIa<E3faXI}|e;--<u`I>2{|{gfJug>TS2
z<9)FIG|%|dc9}}gN8$dV#Q8>Fd#-RwpKtVXh>$5(Ru>ozHDa1ZtoNXk3|)YlPG4Xs
zM18RU@^(|Jg&1WLlbA7<;E6Q5M$Dzy`9@iaS_V~eV0(D#xU>*C`JHMmGCs0>Mc*zm
z#yg~d%XAWN{^9Nx=u2PG+!SMkCa>1y`qvEy9mDKK^%ol@P=?-%F@nd^%Ed<W2tJ7Q
zZM{R&cH^2Ph9$e?EKK#57?E7O_m&u=9JzP~+OK7y4LdTS&QhZZ3Ne1E(bln>MV!?1
zzn2;nkkjJJjFPtH)M}Yg5y9AHM%{>Y%oTYT-#sIt%gc<S5o`?irQV^8j;Q;X?=TZB
zr+2?I>LB>~JL6ph$G<b)(`@(e(1s0g1~PuRQIef0x;6U29UAx*Vgp?j{JWN8v@E9=
z%Q25Fr}`_5Mw;yz8rT5ak`+c_jd^*8ygAV|Qdbz2BKU;aSN1N&bOa`LrBMozJFbMp
zb@c5@;~j@&-A&y$;8Rw(h%B!WYSu=;;)HSdcbI(EQNL9f#p`JIDm3sqie8OAy^i{>
zHah7D1!(bJ#JIT{eRmyYU4uz`9d%iQsdpW%U1QW^Ka6Q>jJ6y$Tx*oF<0x*xTBC|X
zOgYuawgs1K7bs6bn!gtFSvoyfYt&(;a_g|P2vZ$exWy=hudTvL($pU?6A8BdT{`_9
zivQudu)GB4T~So%dVtpOE_I6v(BQ)>rxx@MC7W7MHiFl#Y@E!V^+rQ2u-RRz`3EwC
zbi~_YVJ3IpV8n5_dV|r5!{-}}#+tp|U0OUIJFSe5F%))gLi=}Z1!pKJzXUST(P9|5
z$-t8q@T{l;vzp|;3l-jq%%pELVpwq0CgU9~_>;_dWtg&XlTn|;)J?|Qx*Ywu&T&)o
zVpx7xrcCPhJ!Z3M-2W=xqtWHi><_+2XOYwf-zDQubhVrp!%9%B<xmeFgaoT|=v^9f
zGr%A|^<sYwlw`P7Gf1#7yHJ#hYyP9rnzNPiBT|(#zQQ<2gouqNuzfS0xy#e5t(csJ
z_BCzWfh+@Cgf^Tp@^H-kn~fSAzSwLui8#smZhem`G()~8JV#`n(U?4Ui_wO|2V0Eh
z9M(0BW*jD&7)K&}?p;dmjOH%42?>i^LSw6;n5V$jK<lPhWw`WLSXr7nR9X32$^)Pf
zUEXSx&>3A$>lqPnZkShNS5cw;z>eBx<YKY2wqf!7fvzH8u<Ul-Nk(kP{&5!F-fn!t
z=oUM$bRgWk!|0;L?4UubF<1(nLOxG~!}78bb*xFdsq8+a02hMADfwKKgHHW~4LD*S
z-f8sKEI-kJ1Dd56)jwwB(1kyEm&&(8;WzBUpqA=5LYvkgm1Q}?^HSN}Mx^FDewQlD
zM=!m32Hg?<pRx-LMm9>?t^4-n-9`&evD_Y`8izgiKsA~|YxijK%RRcmTkqASUa;4A
zSBt)Om(pe;3tNhZ=b@-SFbekW)NNOCpYZ{UO5A6>$Kla^I*EMyjhYziAMQszrqkm6
z#>Wxq+yS0pQ2&Q6H03yIDD8mpCJkJN#f`fu_<RST#irBY14d`f9)9n&9@j0}Q(h`m
z(<1KCBA#1B%A}Kqq0z2;l=2uU__KN%Nk4$V`ac_;5G?o^3Q{_~`q}tU^X9y#hxmYB
zjOq@_Umn_c(5Nq?*%=sl>Gbj!qpgln$coYTAQq!^T656&0D<igG$4sz;+~$`2Ocu2
zYE0>SG|fadlXpZFqJ^hX&S~`M5LC2jG~lo?2EoI_#s~y`j~HJdxN!t#pK0{rQR8a_
z7mpgl89HW+)+4{^J&M_H6rBE|tv5I|oD8F^$Biy}h_$^Jtl@Vx<|E|k0CFG>+Y;}D
z>50@K1F{31;4TMJMUweIu$?ojy$)=+^xy=_FO-k1O5YXq9mhRE(>}Foe#=QCPGfo_
zv#g?EJk(=3-A)<ZINW~<=A0kk_SI+?!MC7%!;xv8>!0L^E~P7J7A-$*jKg3n{XfHx
zVDtZsuMkxK)ktv6;wVXU^(b=wqO7Nd^hOXX{$@-@u=h7q>nwWvj4>X;;WI`99t57V
z#>eDMHL}o<vqpEuoI7h&NB569XLLl+_Z)0#Q|S0P=&VyXfz9`*+&)xWzp9?n((OPU
z{X5pmDRlC8;}Zmx|1jDinEVGeaZ~8tA4VnIKPhw`3kV-s`;O{Kdiu@U#mQUKlatn8
z!dP9;q+9o>{sfHG4{LgG1J9lX_TbhkLPtAcb+NJ+Fl&mS)Ay*=LnF`h+qDhKU(1t&
zHe5nCx=wp8pd<6$FyG(zXy0VatG-lNz~FzZAgJ9gVkQ5Zc3gz%>pHnE8S${054?m`
zNQ7R(RLs*w)rOw@^x%?_-}Z<+mjiiEwI=HRmyN1yOJ9E3c+a+;GA={=loH$x41_DF
zw)J%U3X~VT&5(*+<KNUel|8CnMqSTO#jf`eolP}rvzY8xp+#Jw`d7hrg~nV({mrNI
zSB++lD_kvkDe<~dolcg|>ZOzih66k!u3>~-p;OmTRN;B^z8<sC4{L((<#pqI1ShT=
zUuYR+sKHaCXuz3N5gn=geLXBs-GF{{g(CjM)=8vQp~S!N83H?nqAO2~+?u`med=Bx
z-SNSnP|>eYnVYCWBz4p1sOb&v)8&SsHwjbh_^BL-<!?bT0?#e1St7aVeX7t3?{`1G
zYQ*5QCyPT_TOOe{$Mv3ln5D|!HY#fVR#v&Dw1&FT;+7F(4DLQOJ}?Jeq4l>V6EAKX
zEs;+1JJ>aeq)xid(o1CZ8hT?U=&qU7R9yQkDUgm%gP3=X4|Iz077J!S2fcU*O<Vju
ziN_{!TatDcLtCWvx=({%!rBmX&xqETKKIGi5IwHNJ>#v2v)p*zv>*mn<9qn(^-3F$
zJD}lTq3!pi(VyMJqJu7QU#fQ0eXKEma`f_PdT)HQEzJJMY|2V!1k%}vih3&zy7?7q
zoo2kPGmw}`$W8FO;i9x>QosvofhHJl6|io)QCUaw1G5nCSRBhhY2nT(TKi|=f<pMN
zbZApj-l=Fj9vlT97}X<oa`xiVwCa6!G8`tc4-H!Q0P5@&TJgZ>rX$U~PkXl_s~aC;
z)_^k&7d6iaRN(B)9wnZRa9&jmU)Z0xDKa)>pcW+Ig;tiM9%9^Fp{5Tp2MA$VrttD0
zq&}2x5c|kzqv`9chzlNJ;gJ{{EzCfCc+0+oVyMMwq&A=O|Akd{K7IL@(KBK`mu=U5
zI<eEpHS2FE_4BF4-$oyeKVV5HR00xOzA&oLsqP-bu==q?{e{O*bBc-0>W$F7Z$3@>
z$4G*l+>bF0&!@SMja~@Co?vxDqEE2$&8L5#82xn`7w&8AX8kiQKAiS`;c*0d&3rog
zuQ3o2YCkpl>IgTiOuhHasKri*GFe^!VGWdA-L-fyg+|hI2cE1EXF)s)Gue;+he>=s
z#XiFXHlL<FGd^}m<i~XCKNJaGgWQ23EBL3D&?z6FHikbpT4?s?x(0as1#2Moh0#mr
z#Ga;StHgzfwDkoRMv;}pLKk=`Ro>?%rpL2kwCW|gt_-HEX%sybeJSddQI;w7UO_iT
zIOP@gid*Q!D==>1wkwoIgO=inguz2RO#)@xGINaTW7{$_O??dB);3ia2bsw>)f~ZP
zn|dEX1-oj2AknVg*Tb(?8YNzXIwt;a;E^V~M%PWF)=3yJnCWV2OoKGqbP$-ncQJ$l
z+}eK)$%G-Jxsg>s?2R1sZ<s2M)6+uXsw;woa5WggUx4(`YMVyQZXjvx;3Wf#*G}4-
zMRh=s&!OTGjB%)r2rfB9K%EHH15iqY`cw<(Z6y{Hsov9=z7}R|q{_+%v=pf-<AC;9
zq-um9+NoMO*nICBL0zLTM<+T}dEhrXRjiHZDnmrkE>$&x&HKIynAz^5G5UG%=3k4i
zJ<)-RCYtP0wKdb^G<rA;Yr-NonCg7w@K6ihDT;t(D?4wxRbfbO><&bll^LmsW}TC!
zw>nqcs)WYO&%{L2o(Z0)%+y<W)H|AKiIoEEHk|j%9)+)L2zLhRYWf<BKG^Tc8|c-N
zwe@M#uP3rS-0y)SY(sev?YN;@A}F9#eFR;UYK>r{QVq4NU6w4^H63(tk|%d&hAMeg
zDcfA?;#HL+_)NriFiqPhHZWlxo%f>TLO5axiH%Yv5u-ztYVHuiDJo>3NuGFBHn{9C
zH1b!Cd}|6EQxuGbrX;Lq(<q@S)}WtGd13|a*vn})q58G)!T9`WRRogvM5_-p`^7Zs
zz7ow?F{{c0LbI&uZ9XYZ&Z?>*YlpI`CJ3Ulsn!vE3*L7hS!d-nF`KFf!rp8cKl4as
zN6jWt)9k3CB$}ID^_3HQUk>at7GcHsbh@W<pgxkQYYs$8qIEgYe;wq^sai(xeLkNZ
zd!q3eM2B-AfsJ!e^%<qJXY=S8R5-Fwp`v()11><a&C01FAtW-F`UGe1{c@=`fcE85
z?X)Z<va(T*yeKp-3>3B}htc5Ns-MnSZj1b1ZdC<&h|QxqBbbs$4M6ZRkNN;t2-@aV
z_4qFI%)Dp?z8mO^rR0LDq4*i_26T`!ob$oyG`bb)yh}b+pQEJYQy)i2l&a}L`*H)O
zbkDCkbGSFZ>cnBe0;)TQV+tVW5~Hz|HCS{V^t6Dgt<y&P#VUPiLA*{ltpx{hlL{jD
zXXtK0)j^ABkxu2`#`7C3%Og*G&4K+yD4JSGMQ~cP3#l#<7dYR`()la`=1Gf3d`=YA
zLfTsS7!{+dVRwvb&9S2kt4_Eu(Z8^2#o%5B&rpFPs=bcaEuF1U1*qPe=&<ZUf_4=_
z-;}a_Z1sn#mmGy=y{Yo!Vnu;BRWp{;=S@_AROZ}tx>63AVz&|mw-PQI00GRCuc&Gv
zyhT+9M;aGk52>809Opkf8O6{e&QQ)`>Qe-xim5>e9u!l(wAhhWOH3?*XB*)v!mC|4
z^e>_!HA6zWEcjHm47wjAYL5}(zahBmJwxT+LLWIpi{8RKE7_fB)f4oAmLLo$p?sP!
zEuF^vg^|^Mqo<)1L8A$c!<LJ#B{5Bjgau%{4#xDdI^js_=8EtJ#>)kIT2c+u?X|*6
zYf>rILSt527%>dDD9-{)s{&}Ba-~&MRPXT8s+lc~ekqMU%pack4p6>gs&wG>{@}UA
zuk>XZ)jvX5j#)Cp%Bs@1z*4@fdJn<yvS^@xSw!>$ZDK}#t3;$S=IsB;ML|4&h6)~7
z4)<MBX;?Yc4R>1Td^y#Y<(0=+O{KBrRd>f$j$Mo{ms3>;5Ax>&zE-SoCC92R_FG|;
z5sS{9N-Zj&z9p@D>AcOzO~X>Kd5qbEpN!!VK@BFAjEbriB6O*U(Qu2!*Lpx11yxyb
z6VS2}UPfz`5MfYCb#zJ*_;<SA23?MZHnQl1ikzNUEsDUIThpKX-@@VAPOx?6(9TM#
zW5gUz=w-S-qnL{hB&h`+(9iA=I$l?(uJCakKdXPSvdX8i;Z(SW#uf=Q`5fw81?s>Y
zI$Z@F{@*YvTvfH_aAZ~0hHLV4Rn<LWDyLcSfmS?%nWt{mR0-Qw@>heNvz5}SVbr1;
z>sMDjIb2m;ea2yd8knJ^da6HoO&Lq6q2idFRzr2=utiPPz_yo?YpRbTWEqLGxNWtd
zBMGL(1HD%M+cQV@KmktE<XY%7r|DcR<YGV7stpz6G$qzXB>r&8*Y|<mnm?$m%7Rd!
z4knS)G@=fM(0)2n2Wt>6FsZt#jb<P4fAZ*{GIdo++E`cRXT}qCRaIWJ9QClyPo%2#
z&;usYgnDWyt~AlBdRS*BQpft3q4?&sZ@eY#M17P>F#ZR6lQR5*2g6q{I6_Ezz$WEf
zl-vO8{4X4N^8>vJ%4ndfLu$#lp$AN)FW**m5NvxJ)peMjy{#Gos@D*z!bJF*S05qx
z9RX*jLL>DhhwBkW9AJ@ato$@=tVS?pPh-`@{!17+-%;@#4n*jX#CK5Q+o}|toO&Vx
zRehMUzpLIwqMZ;#9A<fkL|z`kGuZ{n*(4ITBO78M9;UD+s-petFsjxB6^!u9CaP1!
zbdHicgHo?zp<Wn=*S7d=Ys#32*Qo1%gvs%1W;kQjP|h`Y+7}FkHTrie>yzHYA_0lV
z-c!vr<uWD-_77FHDbm9Iun|qw`^<3yq2{<@#jP2KiBJ-`^?+g~VrValQ{|cWRGjL7
zJ7iR*89FiG1caJ1!zyA%Go5aQ=2(ruF}Att5wVRk+&Y62zd?z{r+LayxfV(>xo!)n
zJ(AROD{*MY4$X6=h03LAuO8^#^@<00wEJ>%tUZWYuO)^a@-m~PYRYh`6_#m*5d(O5
zD@+5Da_0=aDb`ih8s#b9LK#}L$`A|3^tZaoBh^JUHabHOL0CB|+NRUK)~cIBngusv
z+bO(h!VgRrXaymHEoiZCggu|AiK<Q;+D1mvgBCFF3qxUg&=HGoiP@0_g62>(L9I5J
zhY>DlgR#$_0s6{Wk}wh+6w?;9E9eRtbn*-qq^WIH(TK@hn^iKX{&e_DInh=%;#$c5
zf$F9ybpv_-K(*DF1{rduGV4QCms#t7h;b)Enp&*bdq>dr57k??ZFKEJtk&D;y^mCH
zU3(u{OvgULl(3CTw!;LnjV8Cl?q(Zhv{Mxnf12RynSr1AIC7_y?iio^+%c_fuOe~7
zkmB1zqkMz8US{yrpOcRF#w9-RRAO>;2V@Lk>kjHY`y1gjzk{mo5TS!<%%`e|ynIH-
zIzXGi2frQBIfXdXs+7?kQ7M8Mo}v56-j1py3%u76T^(WhPO5?C_$osmR!->z1r(G`
zozPhjzU+kQL}X0Lpu3ZBowaT^Y*(k;#5-cv^aHL*ol)5cPj^-gbOvW|!<N%e6t_ez
zY8jMSujQCOr3+>Pk-i`^hj=&#4|(B5F)y>kcEx5-Se9y$fj7dk(5|lN@L>6+E9NVN
zg}Mc5U~LB5qjS@wv1~iQqr<eWTObb`P|}H9cW(5X0WTvRRN!kBsgwAgrglcIk%XHD
ze2q>j32)X|ya49LQ{+0$<nF4G&iRfEY7mP)TxT3wP9A`k*N4;mfdqGF@Xitm^5f8*
zdnga*wNDS-0vmc@<&abkT6F_!mxKCt2nfS-UeSSxUigk!eAsz8XyC`{O&$Gs2A}cd
zr52sgJb2^_s@cRq4o+E7a1>fXbN`w_t*3x{PfxttCK<!4#4dV)D4e^lp9D(xM`m9_
zyYM?-mp;KvD>=Cs(q{ZD@qNGU*X82XJ1l2tJf<Lo`{Pv&4qwEp#<;WE@KaTt!BL;0
zb4mAiJ!DNfCtdnf)zHGz_54H5`lvO$GyE1u=+#qI<8X0L^|nJI;z6$tsN2BH!Uj_d
z^+IpNaEb4QR1v21!c;5VxaJ{dnV8<HEK^$c#yo>?Q*TV)2o0aAYP(5|eAxEgq;GxL
z@kE5vKRyiUo7Aq4`Vhf}KB^yr0)15%1S9)G>AOki`>H+>{0)(>{6pzpnGe6>iQ8<N
zRPiAVd=rJ-*bhtaGfM9VMN#5Zc}Qb!p*Q+}N88D}xT*b>SJSFLBwu?~cvh@YIH=nn
zp^W~jheP7lqRxF-OXk;f@&0WNJT{3H^d_wyp!(W2QLce%fELu?q1GIZcT(;^?)VYh
z$UyHBag848eQ?G=?2}(nnL#REM}HT2WYvGeAgI#9+Vml%Z^ydjIPPqqQ(Zw#KMT}D
z^M~3(&g~aSPF}&yp<}mtNQq4_AC|0U)X=dn(kFveFJ%4rV5r?Usqhf>Dg0uhPPfs9
z0Z=BSjClUG3?-n9T1@+ge72H{c6LGc!`rpFgUbjSuHNTrAUEKq&moDw5%+ycWBOuo
zs4x_IiXeJx1Qw_dHKMOZ#C(DES2zZs;7^c3wV|pmze<}|r!KV59<sHk2+Eg(VuxWG
zzDhNQL6v$&BZjGg2<{Do@!<%S9<F*u9O0sT^YFEqY2$XhNPcA`;%%a9!`0Y`P0TXm
zAzx0xOUma}P)&VBt4Cnd^NQ&UGdr=ouZkNsdvd}N@kq4$3i{+r^(BJTFV#D?i}cn=
zH3Y%@kt)u%jBbxqqY!*LO4Y_FTsjJC_&z#23L5V|$~PLF(njq^W5329!25oCt-lc7
z$SkVS=N{@iF?;>0FdokLP`w1Sg~T|YS+*GcZswFA?UD?O>N&f1?Hk{}YuA8HLgJ-n
zc7J)}F{h{dC!Yj4s9YkHUtzqN*{4d=iNrv<cQU)CjxWnoK<&gu^D$ULM8E^xxS3O|
zJlx5T>(kyb0dbFBFNVCa&kL9q@Q)S{`<1GJ%JO}Mj%uUbUqQ3BQPf!I0q|%$7N%Jn
z?Hmhr08fF8gAyreyB_I7spN5}eH$GghfS&wq8?HCF;I<ytByuzv(Uk1N27CEXnA$=
zc=tfY^3drC=-3s<V+j<g`5y(RI;&E6>Cv=8kAj^rhVbBI6!Md8g6c};8>uX|Vp>$v
z1aw_IaytQYA+(E$*p`dna+-Yk7Amdeo}89&&nE%l6&~q<Kc^WUedYy4N2{!(ZJdF3
z3@49O1qm<SJE;Y)k|MU+qs-}v@cd(bz0e4)=A&SrtE{=}JPOW6_~yZSUlJeke50Jm
zY?E&=Q`>0KH?Rt<q@&-cs*aUBa+=cK$w>LdH?Bef<t1l0HJ^k{*h*SB32W0zx-kiR
zl$BH_38i02eUmVnSJJv9jHZ?JcaqR*PZrw9$uP{Xq#cv7e{@lnDH1(y3P#gPN}i%V
zjF2?@Bd0vK-)?IZn>80hbR|`oiqW`|Mom?3BiO4UPcn95E2&j7R$hsi_=pORMw4zx
zR@Ec;y$Ro43uB+ADr%mw7N+Gi4Bo{wd78*LJq^XbL?yn3MRX+%`c^g8#ZS^raOzv^
zWLMJ5Z&fWjieGEG>Ku`iNBo>ee1?#VPR@bWyKB0tz~qeSD2b34Sq;0bBN}$<3^c5u
zmjoNO8uQ<op+4ZS{>(tUHJR~>^J9Y^Cf}Zk{pSoSH47tX292Jj`Xfl2g@twoo>W$!
zM9kn4??y-E>n8n3$$NfYhg@BqL3w9mtj(Y=X2bUD!V}mSaxQu~8x85AmUFP&^E(~B
z-!cnS9fZia*xtIR+g#z^07$c?S{eM~QxvS_JoHG3eH{aq?al2r+p-2Glf^V;9$Nhp
z9iN8`T%uC*RVT+K&gy@<8gTQwQG_5~SPegZp(+|&lyLbvb^#0)2&XMjeK>r%0Cqoq
zLB!|!D`?+n&6Hmksxr3mvlgMX$8!?d|I#P4Ef=Y`G$z+y`rbwL0Y)j>y$HQ)JpHl=
zofMD1rC<RcPfb%)6V3bPUwrcf=IRtx5QLK{=rZGR-4urX`&4}~)`G{>XE9Ef9@Fl{
zs-5F8Cs~aKE=3=VT>^8(W9qg9YM0>aX#CD4IG1@$50_v{`;E#im7vd3tfjwk?53LQ
z!cv&aZqt*cm^5!wg=G+Oo5^i8dGa##CO!e$v`oF@IM4Ww8Xx_g!ZUc`ROvhHeh`lS
zPQCBQ&J`7}8SZ|k3h>uK&gE#5JJe)3cG!!;$iEy)+>f+(IjoC`beV%S^qhkmly?P!
zYg8RUN4Z5@`_3D0^s3XVj(^CEF*AJ2|AzF6HXE)-%N^qPL#UfGsd5FqM+kLqCUqul
z<aGX_6C8X+_c^#su9XPJQV9ed<$CMR5CP@>2_`O=TMvg&t7KAt=SuoDgjzk5x|~ut
z9oz^-z_&Utt%U6fce|b;#AT=4tB}0hLM(sp^|F_H5=>sM3bhEKw$G&gz{w8|p?1rp
z&Z1-_!1r@DtU`KI=omm;V7be|dWu|))aB00!w?DoWlH#)<^LN(eUV9B&D2*R)HnVO
z<{Sea3Gh{wMXQne71{|9$HV6ti}Tl~z;=>@*ZgU(7k<Rkpa?ntEE7VVlS$pl$u|k1
z9?GQRsB+L6q?<xh)*xNN4O;|r=?Dk&=r)3may;}nM8fj_f~oW8qrR-^ujg%DCY4`u
z^5qYqZq1}_rfzFdOdLNXtVJfy;KnYJy+GSJctO7-=(v>SZw`_0*|T8ka#FD~g!*|V
z^;eF2AcUHjNlm3z>yXYI>W_d;z?0XZ-@ydD1|jUbhk))VcHA-#UN4?{9!y@Ww2eck
zc`~V|Ir;ZPsFgFR`>FnVqzfBs*Y!vjHr7!HVa=S&XxJ*Z0qpn-%lJM-#@tL9Vw2nx
zLS2<f6>Hqd5NiGx!MsnW*bPVsMyr+^kUq>w{Sd+u^bMo2D_sS!qwGST!6KA7=X7`(
zlp))yyboWep3bDoj-zu3^?oMxD#dI>^*^J!92}ue9BiTy9K5302s*Cd!Y>ICko8qC
z@rz7d8$!*KNtJ!rmJn)8CiN#=k48HCaKje?9v9|dCHWBWV(;ICqRWE*{iD|lH{uOj
zV7iqR_fQCRK_*qypIaf+luYWSS>GcaESQD9M~#oC+5oYpb>QGJ4MWgLmZL^c9y06Q
zg=yZJ>t!`+5kk$8NtHFJT?iFlQ3v8;VS0#Uc^&fpfaLE`nIDiFtV3}>sE&CuxK@kb
ze&dbtGko|a`3+x5{Xc{D{Gf7aa@p6&<pbmgL2{+n$W;R5LO%v#*LaOwD?n};B-eY5
z+#o<s2$CDWMt(Oy-Vh|my+&>xAYTcRTfatb6Cisx2eS6jYvlF;a=jqA^K0a;0rG$#
z`Qz8f@d5IpAi4Kz<URrN$sl>aYve%z@+**S8D_36xW{4tFN|uMIA$=zsK1G0nH;z#
zX+kL)LpMw)G8=IJ9~v@VH|w%hRkq_LjTu{^E1}`Gs$#Z<^ygMsN{w)e+@^}!PEpxy
zs+{c!b=szC+D;H{gATHmPHa<^5ZJfFj+-r<-rf##)AKM|wjF!JJrubEn&5;m>b(O;
z0^#AbV+ZyHPKwxx^P2xr{hc@++fKcALc}+;U?<eMAL);ss-`=U`_yEVDJc)NUXCXv
zs_(*vWDO15g`>C|bbpufLC5)Mw;JIN>NrU?=;{f34a%`c)piGUo1{u~^`^ZNP2B_4
z>>(ZAgDVO%soY*{`S4}aUKQ_@FMbw6*PxVCeAAYA4nIZrf%`Ib*#|X!Eazo2KF<2e
zmSg(fMp-FiA1V#s>XhA&T<oUV`*HqfDJ(RtX&AoxT87WQ%N|hK@V!fe1FEuf9gE0v
z7fB3Si8~c^Kow`TWzPXsQ`D9Ns+v<SXFp<|Slphb_CG;gokmGNsgK-2WhE)!^oMQp
zk@IJ?#}8EQXBg&YQPR(<2P-2PKcjA^Q0-r!Dqg2Ae}SI6o=*Ity5ZJq`GcxGZoT>s
zV)wC{?jM9<?-9ivQf*m}SbPXOz$<j^5VY#~RO&FA3VOuI!w|QH4jslJlBF=vCcC3B
z)j6U{IfF_9J;c>1nso%GY^Vk+j-V-1=)w_f=;ZRw7~Gkhg|}zR9>o@XF4aA%syOBD
z%5|s*)OuOA{51P0Zowqcj-%=mz86yXm>TR3Y5_@QsKPu?0UF3RP*TB3X~!_<Z6^0|
z<#WnChO$_$Y45e{#cA1bbgMIT>A3pbDOV~MGpXBrPjNZKr{oi8)faT+g!&Ap@pVq(
zQbHPSIH^7loW`F#p$f}sJnn&GAf(cyQ!uN^dGRx1BA+Dli8GZut*ScZ0A69ar23_?
z=}!K|la&^nR<)dR8k}1Qe`l{kIsb<{MRK}c<N+0)k9ST6{!g{zBi$qaQ{8c-Tjp2Q
z)EQj->0!?t`DpI1s=9MOcbpz9Xi%jb70LKbmE-ll&Tlx1#`-_`H;m$mbmTV-I;{U?
z&fq*5XOt;t)Ccb1N}rUEPB(@t&wOW9UT1KHr<9Z&IjGH9RnaZSR5`F>CzYgWO>mUE
z?W`)}lEbHBjHSY}Ba2eDbE*`t`Ss4Jc3AUgpHq!_&A)OE*Y2z}pSo9e#^A$8G|)}z
z@;lB6*)sV%I@?uzlYxWZXVmu(Tqrm~`~FbfoSV3CQ?TGt#t%6w;3W=K$|dH%*}x^y
zw2{s{vnt^V-;d`p6jso!^XR-6sp$ob;AOPof@<gdi6!i130M2&EJWomVs+X_%`Rf&
z4L>{=F+r`QpD)4^j}`jWMVx2Ppq7`=tz9(l5=O~lIuFPxd)bFrdMRZdoT<0Dj5?9s
zstqe5>SWA9u9M3uI~Lv(moa7Crze+Hg$UUuR=|#Rt1TZjy@Cn%H|l!@)9Y<oeFfsr
z)151-A@A$TrDDdw^4TX<HF4kJO!s5aZ%$AB<W0Jos!H=>s;<If`!k4173tM=m5;7G
z$NA3MtFYt$97Y$eV#7L{sl_#Q*bCgA=ynbLXEyD>rlvdiNeB!ViRyl-veLxs$kIky
zeO<M*d&BA3bqsfet#2TV7Pt`oaznk#fcH=JiR0jF;`hFS_>@0UlLzVApST^efQflo
zd|vwarpjqsKqGFdCXPvrFRPQieiOwWM@4R_j~z=GUy=6RR&Ub!TWXMf3C8wqHP?PO
zjCS2tOE~O)M{RN(V#bD=(Xe|9Q>VLXxa|;~y{i^G{$OGeCKjPZ_h8ldgVOJ*i4K0b
zBB_dwwCFy1*e-f`U(G^*JEhZYPpM=&uG~DOA?d2FV-+*MN#)X!l?&;rghqJjSUQ@!
z+yhm^@f~wiWsagW?SblNe;GC_Lrp<I$r%8#biK+@pWFQO`9oa$JW8h?!VdL-vOj`x
z=P&B@NL9e|m2)4VqmHBFkJNa1{=)YO)FEg^Jy|O<k%SM=+c2UJBlxu_Utf(FzzBXf
z%7;fxm}4*_HZWp{Mts4DbBq`!h~R5j@`#4-$t~8uk{rDT5AMsaVkPi<Q@;N!to16E
zW_@8H2lweSSig=1&NsCF@Fk}rQAg@z6Br>HUZO^fWyC_x$2g6czzBZF$~RFXCNU!6
z6tg60%v8oaVMMY<OlQOiM$FI%Vgx^U<(sV$^MZ)^8nK8G{1%okMI)9n;yFiIrV%R`
zv4;^W?Y0E2#5IhWz?ij~WdkGlO$6UYjrf5P{Ct-0M~yHU!4GNqwra!<Mr>!qPL0^Z
zh;JCNS0fHE;zvgKbtV1+M1p=*j8zz91dnRrW(l)A(THP=kZ;!wC?4QA$%t#r5u*|R
zV?<E50mm6e1l1ZKerLo(j>1+NATBUsCL;#i!Sf@)TxQHaj2W(3t}-I1@POk6BQ7(?
zdd+c*5thm$GVU@WXv;yAG)4r?H$Y@C!cu@F%3oan@+yk&yq5ZyS%O*+;yh)9d>>p2
zDi09P86n>eR@R7Dj0h@4;IM}QF^#jzRvjR+Fe0cM0TIavZM#X(EN;fk;y9x;LNS6L
zvi8l_h-gMkVUATAk)09O8F5G>axr2(BW`F!UPc5BJV>_yBZ4*^AY#H2fC<`hfO(Ty
z9<dO|eaU=rM)1SfK0_l)GD1F!$gUA(7%`ut{HPJ-8F7{o9w<)`T9FY!Qx6bT7$M49
z0-JY$sm_?7vIaygM)0GczJZ#fE+bM{>JW`+zz9ou6B&&dA=jCI(j4zHBB;edXj4W6
ztv*0BPhd<kOJz$BFs&F7RO^6f!-&nyQBre!$cUgu2afiPkV}~ZHAg2#1Qk1QbY;W~
zma$%Q^k4)VfD*(41eSQl1dTpG^kPKN&I3drMx?TkQ(8!WMrfr^BL*=dsO%xi5Jm)*
zJRrVcgr(t0aT7)`CTI%+%P2+!%|AdSG9sw-0Wp>lL5&ZH@r;lwdcC0n0^w)GG0y5x
zjYwj|L`IC#h^dS?z_0lFmT1hkj0qZrAY>*Zg4!Vvvl$Uo41t)(h@e&o#6m^{6+$2u
zGh#BQTLl^-5X%@LH?CR;A^}hC03(+u_<9gnRx=`K9Rgw<BZ3AYAT}~0XafQQZ?U~0
zPy6_WLdgSS3nQL!x+64V8zbb{d7MV<WW*+Zeo0hI#M#4`pk4{Yentc>ML_(_h>I+h
zjYB{jVnom$1jJEB1hq{dPB3C0M>(jYoMwa^<(*(e!VJ6#1k6fic^A4R;+$iI94JlK
zi1UmH8jZkli4j3N5fG`22%3g~xXy^6!V1JqMg+B0Anq_?d;+H%4J8wp`;58Ih_V{-
zfDxAVDjbg(5i}qn%0G+<+Khnsmk~iT5fIN9Ax9Nmwa}N0;Kx#Zy@4nL7F#$lL2Va^
za7HZRj11CoA{YVXw%>ColA`*;b*Rmoj|RNJ87lPOn5>M2Mj}d)m)U1i^b6?Nv+=o?
zs*{y9Vq`<extP3>7QRpowK81gHDS<*^X6g|*_U5)7h-OHKg}0I$6w-p$=&P9>tIAu
zh1cSxyi_@}30qMe?=6l8jrs6PXqNo&S_nJzX@yUrRAg2r`O4@x<vGqlYX1ruKgby`
zNzkvecVvazS6TB^V;)wrebqIhRuEBJBkD1N)oovWjcCY-ag1oB5$`gB6>ofDGUz!}
z=9M;YG!40>qP03MwOfYO@u+-gkGLRvGabJrBkqRHJmqcbxC=2!b+{(VP&1qN&8&>@
zwbhItG2<Z`WAk=^rhXAYV^-sRoiw>ClUa55b<>ECgNRQwq9-F*iTCx=h(3(iMPJ&z
zO&q&`PpYXK;Yd0@JSd)~ym^t~0m8(w2I^RY8S#_~hI!v{Jmpx`UyC&>%$wsK#`=b7
z?k|~}Hv_(r8j%o0Bx=N1MtsK{<1}IdBd`m280P)Z@sd+`Pp8l;+*>Vy5xykNIh8p@
zw@lWE>5T9*#|(`iMjU0tY>k-5hzE?AuMvwF@fRafG-4?ujx%DJMyz0jH2KPK8x_pr
z&C_1Ab8UZ3viBGOeT?}_iK3Yl-eW+o9u`U)VUxl>?%UhK#A+t{$3rcIHpC{`dkzGG
zlCyYoB#1O^flaapW!1J~_F_g(Pa9#A?EOBq5N}%?p9K)w4x1GI*?{h!Sv*awOb+hX
z{bLKI&9O=0gZt^CP*I1sh|YvI#U?p>^zHs}pRzp$46~xN)lwWiKL4a={16MN4YNtk
zUc(2*f7YXWf84f_e0I>x&ffh${=8q0`2GQYZK+KHe(;d){XdQ$Z1Hzve)`$r%?`Wh
zd51SYf+r4d0d3dT7TP4|fF8d1kB9W;uc0%jY=pNoxY|c}3*?YAKhtSu8S+{0?tPhK
zQiS)N2;S}`Cl#7L<;$4j=-U$`^aIQrxi)3Ok*QCn2$|(D=M;?e7F6F^jM9@9P}4|n
zh3tz%a3VM#WyIU^)0#-H+hMWpjP#byzU=>HEkI>IwH1s;CQ?F(RLbdnODze-b#;2n
zdStN6M1x(t*X_m20ZwnU?ACop>1U_6Lg4>%r?*nze-)Rvrgxhqjt4m&u9MigDwZ2O
zwC4<DV6R1$QF@ftxR8N8p}16+w=8eWk?dOz8E{9bw%c2`^@%JP8^7_-CH_g}pZomt
zfPenspF8|>oqx{r&%gY0j(;BU&uRX-$v;Q==MWurdrQ0gR`NfG&GLAgu`Q;B$J@X;
z#X`@f*&c5V=j0%G-s7$6{MG_DQXa$mF03%!4R3ANObZJu%nHL>(={s-zGrx=x#n6h
zn!1bveNHAkP<g947g+E?eCvob7Y4yc%3GHWEET=pMjQ_FdTY4WS!6WP4zIVaYi%YR
z7Uiww+-Sjv=-nvqhnU9~MtR%7g7S!orbXOERinMtojWY>DSZ)*ly?TfZPDJUuKgB>
zR(TrjZSMLh6K<8&3)7|rAEl*Py>*?x20-&}R<9#F?D`LjW5}$b0&jUsMyx@{_}sGl
zn?2w1rWVb14XC8>#_zRiGeb7XLGqAh-pbMPeA?hZjKiJ17d-M(ToCoM&)eD^!CU1Z
zs@hQRy5bSMoerY1EWmB-2;M&jQ6;|fHp?q-ekB#73g_Jgqq-04-LLlu4D+wR_jyv@
z>D}ApHTUoF=5yIDo0kuJs~6^zfh&i-Z<@94dB1Fl^8sLsnipzDt>UM~1X%TUR2fee
z-eeD^mS5Y7nXg(z?cj&5c65l!>)>s2QV!a9+nqDN?3t6i4ZHX4+XItcxdHvV#`9Fh
zJe1Hrs(^hRp4R&m&rj9w9p<q6)=`U&QKcB!-4|ArHY~^6J|Zug8mu(3A&EU5qw;A~
zP8u^fEEnRKPdi5K2zT&q9F=HG3Cj~c1ABAxT(_tt?c~v!q^wkURamw#?8m8aTzD?p
zTO&Ms<P6!KCzYVq>u~*i;ICn>2#qO1V>X2Se@$I|Y*W`2m+j~0Z^zH}d(TPiI8Nda
zf=R+hfj|qSu$GTfl7XtK(*Tng8so$!vDZ~ATcItT*aL!^<%pG((9zOuAQrLZ4hl&q
zg$iv9f?7%u1&RuE>IRE60op{fbM7-6f8BF`_uP-f@7;Ib?|i&+WAZkHj(Do{5lSFF
zPY4s1I^qeVlZJN0GX;y`Bc5@(20G=Pbd3|}l^-$#o?^<{y?&|SgR?IPX6m@~Lr;m}
zHf#UTgP+YIA^_HZ>ZwN~$?yfw6IgtA!81)H99htj3#J$@kk=|<eOjn|Ser?;GU$3t
zDl+qC_$ury@44u4;}8WGJu@*i_@axRvy&(d%$$2B70wMH37t9MvI|5uz(%VS<Ed$o
zm)!A<sSF1uT#G=Qxyq^68M{=WYZSs)w@rnjt^s2fDX8NyFjyr&W>|0*ih6H|f9>(Z
z&m2+#jnL(gCSb{qIi!0wkthuf>Fp6$1k;pXmZi>8wEHwpljdTvW17^!^Ua{8D;~qN
z)5#uiPnV|aST*c02~k+}smG!NvvuJ2PN9f22d7K*dc$<+9}p@jGnUWL!=}%We&`j6
zC_%ot;R2?n;&M3{hFnp!HnBU4r1y)A+i<B@1R1UkVS+PaQBXTFjLGn}!DvFN6bOPn
z%~B~Drq)OyU8fohU$|ljX=|jY4wb{u7p|yb8~bvNv@aqM-2z>2O0{N^a$vaRQrP*Q
zOJ|KnvjCZ1DaeL?Aw6Y7n^xpkQizrRQhFd5e#@}3#Du0T4r;y9GZr#%as9h{rMI{6
zga}#?`sbPPOU#qaHWM-|aCWshz*D-Q`Ri(}cbxGdMoA+OtE=-;+KHdmd7s4Mc%65=
zKF%a)xaXRp%hO2a8CtwLPz584o#QQ>!O=oAV}K`)$RpJdKV`1Q8x7~GS#AzcqKJG`
zp}suI1;Lj`&2~N23eiDuXQDTP>qt-b#%QJK$GwGYV6qo^Od^Lc+Rv+oNYV-xJUsl=
zbR;_IXvAS3tRHj9XyaqpRr{WJgLM6H+~8Jp88@GooQnQYHcf*5f8!-_1D@UF4H|Fc
z=X+z5*U^G04tCu1R*J+gX|*t^Osq2|kHVds-ZFtO*!{IPrYosX_XDTf%&90id)-@%
zFzR74f?HmP@o0Y3lefH6i^TyNE(*i{F;|*7y#)u2zL-ETY%%(Z%_QaE+-Y|?>oxgq
z%;K36G!=He<_w6O%gVuSlP}0Vn&WG4UP4@!W?i=A$)z>%&UM|K+tM7op7?QVXBLlo
zT*bzrR633uEC*a1NN2M7J)c1I1oZhu-i*mtR*LE@UDwWa^Z({YhSPtyM}TZ1g=atx
zl)|KTvDAb$aPIX56b|Z>{wSVmZHZ^`K?7{&USC~}@HS08G~z21Ny5D+@{U+mLSzlr
zd=0BRvmNo~?2>d#B2|N8YdbcvGv|FC7aAC^T=mr&hMD`C?*%g&4q5Vs??5q+zV9TP
z^7F;4-r#??8sqIRPw<bk5KouOH$-FpSLg9q<cF%Cr2R9VGJMuE;4eXIYk0t4ipAUk
zzbq12hrdI($`VjHbEml)JJKz==Ir7`M|%SQ?$2P$fIp;iMccAm+y8Lt>4nkvoj#HG
z%#lfV`~dSWEI|LR*`NC-vX@TzPk9Uv7*;ko(16Rqzg_nmtZ2r?$|7!oWlw+WKV!ul
z{zolxj5YkrzsGLau2%}i{QIqjKQV0ivnmofhg-qMoF$02AsS;3gyr!nM;*)4nHS^P
z#*WrBzN!!egCRL+CJ7g2k*nCWQhA$~n}*RS7N6=4>T(4BIu(6AcY<e%Txs6P^<SOh
zp32fw<eb&~5dxiL-z{O5$K|6FL}K^w$q~74DKjC}$8N8ce`gkuz(c!rO0Ix9tJPxR
zS+dc+q3N2l6z;Ui#fB5GVuM`4YTM<ENEY8cS-BEF6o6m}yP1_|STVpfyg^ok(=<~5
zD{_V5G{e?yB8D{n<25;gMZxQGwec+z^!CZc?77$FlMaC>KIq#nM@5pfYG``i8idmO
z&H`gH0K59+AbYDz?ko_u;;>pN#Mhu*Ir9ugRH0$Gu1~I|GTtW_3Zwx2@5muU7|zh=
zK%4RG{qh9yFm;^>$Dc)i+rzMXzg&XF;C{KncsRe7vHkL>m&ZP76QF69Emq5EL#<$8
z{@rX@BGIxq@p88g+m_R7)x!2Q`07jaB0hpPwz{hXl3~t}Tt1VdR<8E{ZgyUOE}qKa
zO~y6c%RA!q8kg>Pd0{ruMku>9EYJT98k56Gr38!FNhKf<%Lm`JC`Cb%G~f4g?F(=l
z!EQAxSGHyo9TfawfUcxcsB#VWBN{yJ13y%pRLb>%jwO@;esyFWA3wZKQE{3~O7TP2
z3XHDgb2Y40f;_}PQ($zHJD|%El5r23?{Zo=^Qie?<gV49uT;UgupOU2d<7T==)lxr
zdZmQN3+5}Ko;TcKeM)rsf~~2CQ<cG3++7ji-3uQ11N8mT0N<vRqC(#4d89SJ0U|Zg
zrYQP4eXvJz`HlD=X>3#SYsa(ae7k}tr~K-uX2X4$SBqiCLVFN9u+wb{e$V@325BW6
z<H1XKv^!qqnrPuPu~tr%B8-o-+3*%dXM=-X7;Z!nOeU(098yZ*gy@nmw9E#pYFrKm
zyOetl^h4PGfiew?rd>*e-TFZJqaB?RdJid+vEbO~A*ERq`{`Pp0sl;+cgL}xpmRaL
z-a2qZkp+P`WoR12PGdS;KBTNLi~Fe4RA}nJI4a(0pWb@)W93ajB$^o+Ln(@W>b&(b
zZ-qmzxF@pPrxjV`0byv{9;?U1c1cV{d`<x~QO%t&>9V_!-94uaRSLu-!_s?7H4jn1
zbNh})SCN_1%W&nc64n(4@8YjOs<=swXt+snxfmiV>_H1x#*1dvR=12E671LamA^;P
zH=?UVjR?d-!`YA;6iLFZU?ima;Xp_Y=s*Y>KCxpc-=N)LOxmG6tOg)7Y<J?*%nprV
zHG~5pSgC8Pq#Zy-_J^?gn9;#0?M=vnC-*@80<{dk3*uJU#4`0%R3LU6JWs2b$8&*d
z<)H^!0M;il;ZsdV4j*e@GVJoARV3z|u7~&Rcs=k+m?{`9->5p#)#E{<TBR5Gdeo%4
z$@`;8Ej4trOp`iVA`)wkm(WPBJ4&vV+cIhek5b6xeLmRrjH<@O%`}YybMM(z{R61D
z@inAf5o2;Q%<aYTHbcBu_3L^?km+*=72e0StU1vh$7e{5ehApi4)m(2C=V~d<2-&8
zK7!7h4JTAZzDsl1kiA-&#UmTu2n1k?aW!BjDF>6T;xGU133a(mAf6r${zVO0NWyne
zm`h&?sz0MHGAqQ{Yc4$N<uWT%>9uQH+t+p{zhOJit0uGI66^h3T@>IE23ldy6OKYl
UH|Owk;CatoBxbvFxz#oQ1r&MNdjJ3c

diff --git a/development/.doctrees/examples/1_basics/1_quadratic_function.doctree b/development/.doctrees/examples/1_basics/1_quadratic_function.doctree
index f4692eef3242c5e48032e50eea3665aba8a9f6c4..6b9084499e0779df05dcc58e0a7cfd3ecae8d72e 100644
GIT binary patch
delta 24
fcmdmah;ip3#trM;naqqPZ*)Hgq&7Et?2rHehJy+i

delta 24
fcmdmah;ip3#trM;nT$;)Z*)Hgq&7Et?2rHehH45H

diff --git a/development/.doctrees/examples/1_basics/2_svm_cv.doctree b/development/.doctrees/examples/1_basics/2_svm_cv.doctree
index 8a67baeb3f3418e0b55e4e765ab572ffe7b7d10d..ce52707818b74c333ccea8734410d14e5d2094bd 100644
GIT binary patch
delta 32
mcmbREhG*g%o`x327N#xCS+Y!qCew3dna=^~?KX1ESH%Is><XIz

delta 32
mcmbREhG*g%o`x327N#xCS+Yz<2Get7na=^~?KX1ESH%IstO}I?

diff --git a/development/.doctrees/examples/1_basics/3_ask_and_tell.doctree b/development/.doctrees/examples/1_basics/3_ask_and_tell.doctree
index d7448182a38491c6f6c31d43211ab7df1ef81b70..ccefb2b3dd2b68ac6b5f87b99f19f2eff06596d8 100644
GIT binary patch
delta 22
ecmex0h4I%E#tprOjK-7u49_zfZ;msPkpKX4R|t&&

delta 22
ecmex0h4I%E#tprOjE0l@49_zfZjLjOkpKX4GYE+Q

diff --git a/development/.doctrees/examples/1_basics/4_callback.doctree b/development/.doctrees/examples/1_basics/4_callback.doctree
index a8ec66a05c1500fbf0ae9237636469481480b999..8eb5f15f3e291811dbc43d17147647069604e6d0 100644
GIT binary patch
delta 22
ecmX@n#CW2Kal=*(M$^gLG|n@cZf?^&Bn|*<qzMZE

delta 22
ecmX@n#CW2Kal=*(M$5_DG|n?xZf?^&Bn|*<><JS9

diff --git a/development/.doctrees/examples/1_basics/5_continue.doctree b/development/.doctrees/examples/1_basics/5_continue.doctree
index 4ca189380426c1156cad0e5ca52f540b070fbf0c..bf056e26911b6d9b11337374c6c42b825ff90b4b 100644
GIT binary patch
delta 24
fcmdn8iE+y&#tnTAOa{i2Cpeq~QkxSTuZRNxebWht

delta 24
fcmdn8iE+y&#tnTAOcq9yCpeq~QkxSTuZRNxerO4m

diff --git a/development/.doctrees/examples/1_basics/6_priors.doctree b/development/.doctrees/examples/1_basics/6_priors.doctree
index cbfeb411675b00e1b10e70ad2ac80e486870334d..310a8b7519efd67bb7be75c0ef01ebc4f7ad9849 100644
GIT binary patch
delta 28
hcmaF1i}Bem#tlDRSPb<njVAwfISXcNKIb|^900o83*rC(

delta 28
hcmaF1i}Bem#tlDRSd8=xEhqnVISXcNKIb|^900n}3*rC(

diff --git a/development/.doctrees/examples/1_basics/sg_execution_times.doctree b/development/.doctrees/examples/1_basics/sg_execution_times.doctree
index 35744ee7b5e16919b1a44bad8c5ebb6c306d010e..ae47a6999facc7a18e7e44131e610f49c4e75683 100644
GIT binary patch
delta 420
zcmZ2hw5(`D3lp=Eh4JKerW9o$t)(?3gFSXihCvUffq|8=u^v!tO6!!yDYa8HG88hL
zCtsA-+HAo*gN4;l&(g?jav`U|<U8VKldU;;naqs9+|@E#{9FnO3c3nF6AX;?ERBu9
z;tA^9ll?grm<&z8+yF%-BxQzrrUoEo35=$jFLCDZh=Gkqc8d{6WOInv9u@^NBV-8!
z6FnoK2;7lbFDEC8nQl&%4rCEFMo|cM%jT2vsf?4it4^JKQjvRdxSG*q4yE0bUDVAd
z|537>yhUAqa)$CXMMD!5oj~USMUbpunrtX-vU#$K3gcuw#o3d6)VL?#(2|+_K~Z9I
zr`qnx$F)IhzR7Qu_$ODZTTV7rHlF-g{hEjYs)NA3-h5W0j78WK#XbW)Lle`@VY(N%
E0l?vdUH||9

delta 423
zcmZ2hw5(`D3lp=Mq0!`arW9o$t)(?3gFSXihCvUffq|8=u^v!tO6!!yDYa8HG88hL
zCtsA-+HAo*gN4;d&(P9rav`U|<U8VKldU;;nT$=q+|@E#{9FnO3c3nF6AX;?ER7Ap
z;trhpOcq99W`Lp`k`hBbQzHYQcmkv4=1ZJ8JYry@k=<bg64@LgwueQ**aTU^z(mgo
zC<1q2*2~F>Vy2r@r2|=n4N(+=-Ld(kd@AGQm8!FumN88}ucbQKfs=RgSH)wK?bIzN
ze^RoXyg}V~a+LBl1q&k-%|I6dMUZV_RFa*nASAK5RYiqyvYz5p9yMkL2588sO+F|t
zJvl&;dvb-^vB|rY%qN!vjn`JzpZr+;nuw7By3s}ko6l;Lu?SnDNEqlDnpkcQ)4jkA
E0BK)=jQ{`u

diff --git a/development/.doctrees/examples/2_multi_fidelity/1_mlp_epochs.doctree b/development/.doctrees/examples/2_multi_fidelity/1_mlp_epochs.doctree
index 99001d9c65664f9184e0d3a777d338d90c9895df..e539dd588a05cb325e1127a4b71b9eedc34a84d2 100644
GIT binary patch
delta 677
zcmeH@yGjF56h+C9nUqNk1|N-&PQrN4ea^v|B%OtbrVDBiCl7+H*5ddD!ij~Qf*+tv
zWg++hB4VL`U~gq7CX+<O$`7!+?7Lv?v#-ys=L^d|w$D~iZ|sj*>!lE9-K(_CLv32L
z;TP$VM|1?!^y%jvh3ybR+Vm$!z;dupPxC9^z+O{^hy!5EvS6F4rL76(3IJ{ZkZCCd
zFh$Wq!$ObV<!;V!B@G}lh6)98ig<x`++2L3YN<3xf$^(;vuVy>ay--09XW9HyVZvg
zs5Uec?dX>U_l`GAe>7mg5mh2Wtv$LcH&UkW;!a0{Hpykwt<;E>G9y>Jsgih1uwadD
yE9*1RugsV+!YIj=hF&+*=ymh;{{jCtVD9&Tak086Y|k~4QTgCu_=>ZKms4LcqQut#

delta 549
zcmcb#fN8@_Ce{YlsY`n{vVNClVinr_Kz|7fo26lDqDAuLL@m+D8?+-P?==;l%x5Yz
zNmFbxuc<H+^#{U3rZ^{uImQSY7#W+Jn;RHd7?_%wnHZQEO;$9IWiq#%++ZHhZ((U<
zW?*D#U}<b<YH0}+vsB(}pc2T)Vq$4wxH;YO87t66F-FtL{HE4ymMI3NhQ=sPndcA=
z6P~CSG}+fNS-@1!z}U>f$jr<TXrZa0#bgEZSY~5$<H-dIMr@`AmgXr2U?Xy!0w+g1
z`$`!Z8JSudn;DrHnVDD`8(B`tV2_=WAs8`I0zd#g05<P%RyJle(K9tRoBW{c41~3L
IWBEb}07{UbjsO4v

diff --git a/development/.doctrees/examples/2_multi_fidelity/2_sgd_datasets.doctree b/development/.doctrees/examples/2_multi_fidelity/2_sgd_datasets.doctree
index c69ce1fd959032e5b757994431d59e3780cbbd3a..dd392553ec3f4e9940751b84a24fde3903dc3692 100644
GIT binary patch
delta 86
zcmcb3i1Fef#toMx1<WiAEDQ}z3``9z3@t27EGEk-#W7k=u2u5b+$Gh*jzfNPt&)o>
Tv$2uo<Rk9qK=kIR9(yDJU<es<

delta 86
zcmcb3i1Fef#toMx1q_YN3=9kn4Gj#;%`6Q}j3>(}#W5OAu2u5b+$Gh*jzfNPt&)o>
Tv!S`^<Rk9qK=kIR9(yDJQG^*L

diff --git a/development/.doctrees/examples/2_multi_fidelity/3_specify_HB_via_total_budget.doctree b/development/.doctrees/examples/2_multi_fidelity/3_specify_HB_via_total_budget.doctree
index 3e8b748894d29ec6ed9a50df21ca21222edfdbea..74dc0e09f3ad723dbdec8ceaa90e04ae4c7b40d7 100644
GIT binary patch
delta 30
icmZ4eka6`x#tmzOSuOO83=Jl43O)^CZEgzDlmP&~^9uL?

delta 30
icmZ4eka6`x#tmzOS<Uq<O)VyG3O)^CZEgzDlmP(1n+qHO

diff --git a/development/.doctrees/examples/2_multi_fidelity/sg_execution_times.doctree b/development/.doctrees/examples/2_multi_fidelity/sg_execution_times.doctree
index 2a96b7e47c7b9c2f13a2c8acebb558be4b035009..615d2d0c1391bc1b3f4c96141b1299140b097d13 100644
GIT binary patch
delta 198
zcmZ1<zCL`zOeR(nLp>w&$@7@9B*838Ev+dT?6Ffa40<>XjIF?8n-!Vgv+!BynVT4J
zDJUrDDj4V)Oy0<@KiQYVjK|o>5>?PZ#)BU!Vqj%pp=V@huvwII1CKb^0EFR2R;FN)
n&38mMu!sVUK}Z=`8Jp+<MK&*#5@!YK0~&!W2{rV*`~z+P+PE{k

delta 198
zcmZ1<zCL`zOeR)iGd(l2$@7@9B*838Ev+dT?6Ffa40<>XjIF?8n-!Vgv+$YdnHrmM
zDJUrDDj4V)Oy0<@KiQYVjK|R26jjhb#)BU!Vqj%pu4id#v00RJ1CKb^0EFR2R;FN)
m&38mMu!sVUK}Z=`8Jp+<MK&*#5@!_$8-XkdHT1mv18xBCj5GlN

diff --git a/development/.doctrees/examples/3_multi_objective/1_schaffer.doctree b/development/.doctrees/examples/3_multi_objective/1_schaffer.doctree
index 5ca751734b9a533a32b7639507b8867e2e3abcf3..8e9a8c85285978eda18698410fb4a31c1fcead04 100644
GIT binary patch
delta 30
jcmdn}mu2@~mWC~i&8o~6=4R8|R2k2L7~8|t7*izxy{igm

delta 30
jcmdn}mu2@~mWC~i&8p0%=0?-oR2k2L7~8|t7*izxy#5MV

diff --git a/development/.doctrees/examples/3_multi_objective/2_parego.doctree b/development/.doctrees/examples/3_multi_objective/2_parego.doctree
index 2c2142d1b3ecb67c8b66d84d8d1db357059a395a..5f4f10f766099ddef244b21cbf3d526155b41428 100644
GIT binary patch
delta 742
zcmeIvO)ErE7zc1?xK~|?!4L+Mm1L&poO@muvaqq4%xvUkF3reWDcM+{ShBHsh>b5`
z$1UsG*^rbEz`{-_J0fSKp_ETxaq6kxbNZkD=i-WNT@z>1*?U_!cGl`6+tuM}%TvTD
zfG7Yiw@<lB=Aj_%NU<)~jm6dmhjOX`ZyTFkm^M@xd}~~BS)R(m%;(->+{2@`Ue^GJ
zS%x<aF??)Wca`r0=U*F3QHu&B6-sLEGf5TR$M-!+4KN`B&%?ZoVNrHsv7=@~Ql@DF
zQqtFkbEX0>nM@`oAO$|PFVM1NMi>c9|1d7VXQE^rIOU9&jWU~TqpdN;l(rYkCb-a=
z^F+z0F${Ficc8D7kRtJkLJLi`4tD3O?TL>5w`YIkcY7UwwinKI0wL+}peqGr7|(`>
z9Fa0YV^ik*Yr4w><P`_Ar{q0+$v#&RH+&emiI7^n90O8&GTs*<QB3B5M8nBkKdDSt
Pknk{g^2j^x%ny73qX)tg

delta 717
zcmd^*&nrYx6vw+S@4cF)7&XYm%#t$C{dLa0mn1udDQu>u8JRH}cGd_x+3AwC|A1bx
zu(ME#1zA|yQ<R+&?@byz|A57*bH1Ox=XAci59IcaxZCdGW#iOc?{Hqcu)F8YahIyK
zy0U8-W=DIar%{5c*{9C5t)w@+DhjNbCLPNJUfl?Ri_ti57cxnYgQ_m`CT&kA>`7le
z#W^<!20#hPfg54>yN-N7gG_Kc+&!@+B$be(0iX~{aV#hD`FyTK1BQYEWin!13jtE=
z784q%F*IfjK_E4v#h3!hmB!eIno|L}7K@%S+9=cXAyTOZeh*TOnsLKoqmj`{4&{S}
zA62UOPt)o9GoA1_O9`0{?{fhq1xscpT^TR{TbRB1>9TWW@?kgU&d6sd=il3Wmo&Oo
z_lVtD$%Zq<3&&5!!g(z8+k7cWlHo{c$niU3`L!i`&H34mmj=VDayxORzQV`KTY`Mr
H>y`0uXrQ<_

diff --git a/development/.doctrees/examples/3_multi_objective/sg_execution_times.doctree b/development/.doctrees/examples/3_multi_objective/sg_execution_times.doctree
index 9218032ff7d45efc9208470b6890a75eb4d16ed6..2f8b717aa01be8ee89db8fc1f6753f89ccd9aff0 100644
GIT binary patch
delta 129
zcmdn%z1MrgTqbrCJqu$KEv?Dv%u17wF}X`Z`BO63W2a;o^l%y&SebyuHmfneWMMVc
wvoy7sEW(k_Y+-J;xsGEdk2qKeS-mk>WV4>=3>HzKDr6}G3q6p&+mesC0X7jNI{*Lx

delta 129
zcmdn%z1MrgTqbrSJ#!;-Ev?Dv%u17wF}X`Z`BO63W2a;o^l%y&SebyuHmfneWMMVY
wGc+}wEW(k_Y-(<_xsGEdk2qKeS-mk>WV4>=3>HzKDr6}G3q6p&+mesC0V=yA{{R30

diff --git a/development/.doctrees/examples/5_commandline/1_call_target_function_script.doctree b/development/.doctrees/examples/5_commandline/1_call_target_function_script.doctree
index 04f28618c1177b1ed202f1172b31ec65cd05aaa2..f13192a5dc4a47a2c4a092fb3b07e529e6515d5a 100644
GIT binary patch
delta 24
ecmZ2iy{>x0cO_;EGqcIRl+J<Z&8L+gO9B9k2MUA$

delta 24
ecmZ2iy{>x0cO_;ML-WbMl+J<Z&8L+gO9B9jO$u}X

diff --git a/development/.doctrees/examples/5_commandline/sg_execution_times.doctree b/development/.doctrees/examples/5_commandline/sg_execution_times.doctree
index a0bafce86a1f06a8f4da0171372330c7fef8012a..9a38a6a052341968d12e17e843351af0eba33e05 100644
GIT binary patch
delta 80
zcmZ4Cw8Ck_WF}?{GqcIlm@>qHw3gPC4EES583sL^1_oA!mU=+3&7#a4tRO|36*we$
OMS%<~YWzfRaRUI2LluPp

delta 80
zcmZ4Cw8Ck_WF}@4L-Wbgm@>qHw3gPC4EES583sL^1_oA!mU=+3&7#a4tRO|36*we$
OMS%<~YWzfRaRUH_jTKb@

diff --git a/development/.doctrees/sg_execution_times.doctree b/development/.doctrees/sg_execution_times.doctree
index b283b1e62e44187969a4ab7305b2df3408b15a76..cfd81b175de206fd3821ef4e6778a8ac312aec7f 100644
GIT binary patch
delta 736
zcmY*WOK1~O6zz-?(qtyTwn_c8>2%_!EjYaSW+sAEY!aK)+AajeN^nsLimvQVDK0D`
zVk>8Mf-aOU#6{uJO=A}>6tXFiY7sZOEhvJxa-%QPMKim5&w2N}d(Pe5;5Ik7wJAR2
zs=BRXmaiT1tFbY!9=__;$>RvI3Yw46CjUnWIcnY{nCV^&S*mL}tU7^OIECi}J&?N3
z958ejvPiIeTtYIU37YEaco!bQt;k*8vHdck58*m7;!#<aPs)T8h@(1rM!Be2^NCJa
z*9en)$g}0zs<rVR{18uZhTr|0l<-wDdCm0Ot%*FAr5H~PBx4JlMVDefrG9_meK&f+
z@)7#z@H_``_<eMh>+0Gwi<Y88Qlf|tHt<myM?CAIlDmnw+3kMc?!FEw7(PN*hnUW<
zBcIS37C94ZnH<X^1yT8c=3o)2oQraH0qeQXX_ieuz*HGRUmSfYWZE&=ouuAI=%vxQ
zP};Er47&zHXjA<yq@8?#@^iFl%eWn4zFBsiii~6kz3BcGWLpm~X8Zcy1Mj|f&l{=B
zH+FH&wdkwUD?+akcxb4uVbJnfX8F$KYs?izj8=3!D>jg+vh+(Xma3O=ti02wnSn`7
zwKS6^&ap{#TEW)D6J#qQcBcne9m5J!x>9N2%Z0suv6RI5DocOnAikH1_*UKNBf(vm
XA~9%lYF+5H0$&kTGcEdb_Ko--%;(~{

delta 768
zcmZ9JO=uHQ6or{-;uvQ_YTKCBrtLIoV+}f;zt_o&C;^+qBqds;sGvj_m7plNaHoQc
zim0G+vT-G%6qJI6M>dVED7wf-1hp=8sh|`@H+AF7L~P>jz3<$6xcA)UC1H6<Sez2Q
zre>Q2(_*R5eZ}LIvUH+S)^GWAk~Cb#>f%q2*Vc$N0af0ClC%|9HXrUV9OC{1W*2@-
z8D3$K2GMalrl8YjaC3t;d(QbTb=ZdUw|)qxbt|w%Rn^_9t|#?`MjZ2>cZtllXpTln
zf@{}B%XZC6sV;nz_Xvjj+ne{}qvD8(M!$|XlNN3&e!;{GX$%JyA5#9bK-o3_cO~Sm
zu(6++Brah$w$BRqqP`dB1*{C`upX}AWh9MX0~D#~Mcf;F7v;-2WTRJ4T1_%nxmvkg
z87r%2zT!dOE}ZQ5u~$PQ0@nIp<Jqt*jN?Lh9BW}2Qly6JKnhZnLK{4bYV<>pC-%Q7
zA?*IhL(euhyjIa{5O#Fuac_`E*{T>+<Al|<AD$pjvQ=tk%idb&y&*TsHqj+)hOT>5
z%WhL_&E%wYyHk{~NBi!0x{bC%OQV*-vio_2S}}s=J>qztJ0i||@wqt4Q7@3Lp|e0S
zm!ZfX>c!Js0FMh32xV7$672&U8cCQ;IKT}TCZCA0O<0VL^25qdvNC4!H54-ra@=es
ha}1vft39UPHW4>4bylCMdb(+wplgOr+1=>{`41QH?AHJQ

diff --git a/development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip b/development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip
index ae0abd6dfd09e3e562abbe4328d1d1df1d0892ee..8d3e3eb3048ea5c284d5278d5b591493f27a0e8d 100644
GIT binary patch
delta 177
zcmey_%lxyKnLEInnMH&F1lDcj4w7J8w>eJY4=3Zw&CyD8xER+=HasG{nOj$zi*fa4
zb8|)kpuDB~Q(i{h&GMmZ`5AX^KAU1M%OqL9nXgGil+kRn@^n@yM#IgT8;^1`dToBc
zCzp+J-Q?KAjzDt$VQ0pblOG@U1)J*5xO#Hs5s>)qBhHMvlm8!yW8678?x-)&u*qwW
Z`Z1bK{&Uoe(QvZ+F&{>+$y1J{0stA}La_h<

delta 177
zcmey_%lxyKnLEInnMH&F1SW0d4w7J;xH(SZ4<}>K=4hokT#Wsb4UY(K=GN5)GB=x>
zGYSCZE#05;GV*Vh4_(X8ICt~e6nj~w-*ub$nnXky#WyQYXO&_U-mJOtC^w_l=J$JY
z*%&8Hjy>$iIC1j)!_JI7lOG@U1)J&)BrA`A#CIQYX5^pz|41C;+{tlAeSwBeUVGG!
XQGD{Bqh5@{liiQ`FltSnax4`9z7Ij|

diff --git a/development/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip b/development/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip
index f57e0b4424606769f6db591868d081e3f254619e..a89accc41c39ea88d243390983fd391e2b5691a9 100644
GIT binary patch
delta 181
zcmezWnEC%>X6^uQW)=|!5ZJkqTS10#-DVw`6kf*Fn<r}W@Bw-A%op=AuG#G5+9?d=
zorwq+WHj8Yl4UN;Bw4>Xwl-LiQFrskd50w!y*8I_*OFs2+q~eaH9up><~vW4I2m_N
zwtwfsxNdUGJ2%GFlP78lPrmog7RZ-*@5Q)ga{7Ca+?w}pjE0jxzfT03I63TtKcnvC
fjq`*j@BCoT=r#H02VX|B$?hNh8AB#d|Cj*)X8%Yn

delta 181
zcmezWnEC%>X6^uQW)=|!5SY7>TS10#;$|J06kf*u%@Z|w_<+25=8Hi*C)ZA4#z~vc
zM1%`63U5})G8bn0UAH;5Hdv97fAhw9hb0)bHkWSKl4BI#yx^)eKcmU!J5Q208Rt&6
zf9JwDadOK$H^%<S6E%e=-+N~Z<jcJG0`k+}yD(0gyym?dqwwU<?-PM0P7eFv&&WS{
f<2>QXJ3rVnYEAz6!Ix2dvinDWMw7|YKV|>`6n#fy

diff --git a/development/_images/sphx_glr_1_mlp_epochs_001.png b/development/_images/sphx_glr_1_mlp_epochs_001.png
index e9d5f217d7ea3c35384c67c02dafa3175a5c824a..f77fc0e309ee4fe43e3b596aad17359acee89f97 100644
GIT binary patch
literal 26142
zcmdSBc|4Zw`aXI;=FDT}Axcr1=eY<)rjTSTN@N}@!-J4aNkV2)LX^mud8$-YDDx01
znKF;<^WuHiZ>{xR>$~^<WB;+=&sy(W&vW1RbB)J&oX2@wcetL81{FCQIfh|WCpFa!
zFpL0?VYp#368J>2v;Q0XN7mzniN_h|OCH|VZnoHIYY&&J&K_5<T;TDtb#uSs>?AHE
zD<pb^$IipU#a&KV*zq412syi57XHLKvkxA!$3^p;JBHC%qyOV_l^<WhFx!ZeYR3$H
zQl<y4nHd_5k<49YNo0M=s(0^%zMhMvo?e67!Onv82YYjK46Y;@tJ@kpSu+*Blw5Sh
z)Yx9=im_=C+m-z_LWi8}?kBO_rijRDe?~^wzO^O#K0fw@Ug+1f*-3HknUot7?G^a;
zv5LvG!*oQ)Fgp0>D;24`H~tp<!^TX=10TeuT4Vcpd3lS)De-FXk5?$}4t(48UIe2@
z*RztSz_+~ejhH5UYjc?e3x}_NQU3q`=47cWANLax5hYf!tEue`fo``S=Z*dRBQ_=F
z>P%s`{nq-DNr_!-Mb$AiLt*-3v_$USLAQQ==q+`KN(<Op>iJUPez3dX+(pCf;b5AE
zzP^pZp~nRUlya%mZWWt_eYx)%X_O=54(g8fSGe<ENx#*`$nkCf$6Ktct1y4FbAgbQ
z+G_HBs?i(gvu0+L%*+XLwJ~vVpUjs&q`Z0iHuKXDp19ZT15CWd`U=F_YI_~(@VM_E
zb10%YWP|*-*6W*_iJhzGNwDEo?trGbk;ak9Nzw|l=$DRt7q&Ooa&vP<?6WIn@z9!x
zy+@D34`u2d8lIkxx}5H}x2MRm=wn!Vz&7jF#!6UKmHfR^2d*#u3|X4$iP-9U>B#;*
zU0FD-xNy^=qN2iQ{m0{x>1nEv<AE~+RTr0jcBxON%X?GPhZAx8&f)eRHN6QxdR!=h
zPg0Vpu&~hQM@~ZC;*Zhhh&!ipG&MELlbsLK(P?1eZN=l`<JMoES>Fl|uV>Iz*q26a
zQEJcB-``Km%uFgRExozi=bR{hnOcI4YB1o>mT8~w^4H7H?Yjh<T3SY%nJv}S)k*Fj
zITv)XHQIWp#&0xtB+n>+?(-SlO!vw6w_;+#!oo<SIpsr}n$#lMrKz23*7!f$OA1+3
z--=P*X2FIhCP=Vy*D(?jN*4U$qK9_65@%pw;Fpps4E(1b+}zyU6s&g|e-nR5K%oAf
zz!{!|x1D)Lha=e}$=Riynl!lmh@Kb<c5h82JM)kcw8U@^Sq)u=Z9_m8OPna>_`qc&
z{o(f31_gF={B6S7CzfVrW;wsUUQTC%Kis@~m;U+H(Wda@Q{7LSCvPnOqQl7GkK)%I
zFI>pdzvk~>GdwdRbTcfBLfWZcBrpHdkEZF7#xV9$=Vx}Eyg2+buW8fg+WB4NuqA_%
zlan(#?TC)i-i(Z-#Njgx1w;D#&9bHZ*T$J~__>7-%IxvpQ{AV(57h?5uk7c|JDf(q
z&l|y?@Rp99{d`XU*RSXLg$^C6>&iddS>|lX$jm%eRJ)z`{MG4Xsbe_?BlV=*P4Hc_
zhMnCZn4M=1JwjOB`&4;-Jw5!n7nhD@>ampWi`AU@GCSQ@*4Wxg3KPQgHYFuxZZtwT
z>)A8fD(_jTJmu?)b`lQV?YT$9#OVF~{Y}c8Qcb*me><5X<2oAcejxmoedC!rHJeV;
z5<C6rX4-(wdD6k_Q%BJ%=&+Me-}r3r88w|M>rP@{%Jwc<y2vZQ$w>$s{`K_*h8Hrg
z>^G|YkggmvJZvQ+!}3SD3K}uG{f2;$Fu!DEco;uF)_U=4vF&KHFpP8X@yxo5F^XPi
zw|IF80KwWCjJSS?w|)4a@n?H0(@=1}C}4}ivF~LFT-TYcF~2@lr26<%*OxS%$Ephx
z@1oSZ1grcQ3!fW$r(h!14Mf#{wl}^M+fuYdb4I|X85;@X4n37)|BZ`2_9%kW{J4~q
z$m(i^&ACRJ?>$B7CTX#;uB|<=PxjVsuOFVN{j<%cnvltrp*+sU$Y^-+)dL;UGN%Ey
zgE}dAoyX#A#1biKP6L%ooEzldHF$0;eh>7V>dv%%d%vx{z3E`OufgLUdb+Ng?$DE;
zEQPn21fO0k>aw5z@i={Oz7!U_jG&;PNWk`{;08cRY<fBk#v*1z);};1d*==w)?)Vc
z_@SPzuF~E!?`aelX^UUHc<wr;p1rKR_Kl&uq9QZk&$jok{Q5XurEpGpFRRY16L!5N
z0-;pw#*^^FMqzw-H5<?M#UF&ay1LpaGIYW<tGxT^_aHQ6Y`6bd8xWwd@#_U_eic(w
zwopn|f`bPSroc=lOF1?KY%g#}vWk<O%Aw~D*c45>Ho?01vx{P^B`Wyw<Ac%M%F&~v
z7hDx<J392P_LtMSy1IVv%4ddkIM>D(WA)~q!0N9TA4CAUIb_|4a5&uROx5f&=OLvd
zrX^%EGc%q_gRWyO))VbXU#hQ(KhjCHkB>Od5E~-8VAQ6j7R2+pno=9kF#l;S+%r<M
zF~g9Ono6v!tc-3MEf%Qqnx>x`sG*FkpG*%Bx)~Zu{{H>@psK2>j#7uS=$Z!D-cdid
z7C-48Pgn9Ix_tTau_uP)uWqdDty!C3cMY(%&J=O#m#J@TRK=_oEo5b7k6*o7Fg!kf
zpv^`s)1jxZ;Z6MEs9xzKgbUjnvpwru*S=?l5n&C09S%=5)C`%cnMLTnmcT623kV2k
z>gq~+pPhM~tDil$F<X0n%au0Pc9=tjxA@ArbLZxM{}%I>o;hi3ycgD1DBSb0-+Ui0
zd%Y}7P@GPROyJS;FNXvEY;arLn3i<+o-DMnv9SW|T!o!F{O#LKhz8yL=DctRgm<YQ
zVch<8@Q|RyM3$!3*5oRAZ`+lbfm=~gC-RM-KD)kTzq-1bSf!<A!&mT=aqeS|79A}u
z27zI2&gJ2wN8LX>*`==H)p+aMV)>%p5Fe|9IUk;yqJS|1>>h1T66gOeODFlVY{;Me
z+O=z|u+2s$CN9m)^v9o!<A(^Fq8z|=u_aQ}+xu2qsL5$e;>ZgT?-?@=#p{d%Ro)tg
zhWC8>9z95b=u=d)F1WrtecpDcA%x<&&-{fWmNgutG+a0H^ABfbW#tvDoj`O&t6)NK
z7+Qx`nAZIxxQyD=xY}A}3!f3<_6L&ry*-A8h8dQ%{ysmSJbrfh1J}37$%}9AAH^24
z0|2so#^cY<{md^S=onJ|+}FnrgK%71TRWSB8DLod;)~mKDo>3g_%xz<#Ka7axVyNh
z*x2khFfg$99jM)25|(ft<j_^#@`(3iWo2!9|6a=eOpd`m1%>KvDa4@)QjN@r+?IYC
zK^yA&`ucMF`})pT7fnnr&kRHe*KX2ZxpJjz=EM8<d;7{?oo=k@i@$$AtE9xxxA4;s
zm+4+f3CG@&mW@DQX|c9+L^xt%;<<$d@yfGhiqCIjCYJDbpWm+!KEKd>o5cLj;eGpX
zfMgEOmJzx06*4Qw-#>c(K^6NYYbIRB+qV=3PZ(jTs*l6Jx`ZNJmVcc?!yKdV`<BV0
zPd_j$Iyzd$Z@px-G9`s$b$y+!l$D;|z)^X0Y>bYX`JmF-{4Tq$JSKQ9mSb?Or&R++
zKT0FJvu<dp)?($`OG#ro%vOx`xT<RGy?gtG#<M>CxO4B`%^#m0pM5fvsY<#DdqLgS
z`PI^1a&q#y^go-V+uPeNZf-#_F*JAY-fgOT+-c`BH+)PxRj#zxzir&DZTz?3_^F(`
zh^@B0`LeKhG@lHQ0h0&|XE?}v<On6~$d;@V5qgG(H@|!_!Rl`AVd%&@L9u`Tew9qU
z46Otq^`e!zISkAG%_@FrIMsXbn2U=Dgb&dh%U4&|){M>x@9^OJunZ%kqg&z+pB1_M
zp2OzyWxoCUiNeFfM^A7hB_%DTwaL0qXfrY~SpzgdL}?|YQNRNOImAeQhJyeR>=Vx(
zcw$Fm)w2Un<ph~Noe;1BK7F|UgY#iF+<xAy7CtfpKxut_ee0P*+OA}X=GocV<{##(
z7!dUq%j&X^jgJojP;~bW`CeF2US8MJ!z`B6-f#X~6LI$aAAfkXwYA~l#`JV<8!=W5
z{kA-^APkn~;j@K2e0+rU_4Qs=U)&uLch`K_W#4?`X;pc7VwJp_ck|b;tU5Y6G6CBP
zC8kG(X9`I8MCs^^>ggDYy*4=uIcw!%BL7MX+8PcVJgCYW%cHD3)NlTz`{BvBpPmdM
zu$!w|`U(xktWYA6>^lC231*4uscC7DnNS$aAM8g2(C*&TX^THTkpgb%Ju#%}zI1xu
zFQCSEH1}(2X*oPwsT{~Js=58};r_T%UGJ6%6`0pckz9&wrcd|gpDj{{*l{N=E*QT5
zHa?zI<*=g0A6MVn+S)&0C*tJf<l^ow?k)X`4T$EgHh#2^Kcp%8%)VL?aT!)Af!GS`
zLEYC^VSDz^c2RHa)6Gp^&HeQI4<3xLMa+ZCf7SX>{HgM)s%+<>8krl*1?7LBIfyv#
zOL#jnH5CC%mA!POUHn4^a3DRwcoqpeT8LIcGs^y(G9=U-WZvH1@C1k$qd><o{KDji
zu~-eRKnQAP=H{Ih?w79))o|kH1+1df2>}r|Hy1vrx7J=;xCB2MF(qwL?t(+1TR}mg
z<Kan$NET576sJ~JO0%*E07fKWZI1l<6}dd!H>Uh&O*d*u`Ol_1tkh$VKe5Kgz~#D%
zON{uu?3mCqZHSrs`uTO1TsfniEJbB&YkMKJpx_84w-N`0GcrobruC&M0B`(>h`n7K
ziMJr2t9g(H@eHdcU7H~r{k8w;g51qe{TviNAVvn82^Fnum{)r2fuyJrk0YGxbFPK3
zcL74lAz@)s?8y0-ln|*+o>}35C6JVwI(l4Rd)~^$(3o^8rvai&Xnip0*lg_|^*H|1
zBL15`i{Cp50ce8_1y2A)0PcukpB|kKHqLMUv%R8RURgQ%LHSRC*FEhghNHl)TA;b2
zSHFln_Z_J8WRZ2-52RYp*f=yd_Yf>kE0}5*5057K+3Mg-)iB`M3`?dQ=N^ATlnL?s
z2U3o=A=SAETXb$|sd+3$*&=5f2w^C*g%1uQe#3BmFb?Y}G*<;W&SIDU0w^zl+y(dq
z0<eaMhs5#Y$3?FFw%LIZ7r<;-IE}Ag?}0wIy?gg`!S#+P+N^n9QN`pQ4;CWM4Q_l0
zI8lGXxGY9cLqns$w3Hk&!It0SZ#!RH)?J((;uaMZ{oeibd}^;rrH6o_Ad}S9FFYhK
zyrz4@H-@fFa#sI-a~Ne(O~n?kuH!Hi5<Y)6{5COhdt@P)MyU?Kdv3scXa{tF6FL;V
z3Z>?h!?2*>;ASr|adA;#-yYMwOjyUG)5&ZbvM}TdYv1Ay2?>QpL{LD6h4=!nYC=rP
zsh=!WCk!auamo$=3`jyq@5aT6+O*MPbueQV2W-fLtQPyBw-7)W(n(23cn=&P9`fIC
zEX8$v`oz!}O4SI{(~PY`gX$raKxSJopQxay_}u0-y=IPq$M+6gV;GHwfdM_gZdxQT
zU<$;7p}jYsJrlv|m@R#+7q_z4M-Va=vu10=v;fDN|D>yI{k<boQ%6S~<`?q7Jh@j&
zM~_nZZ7ef2TG~QtTJF16%wq54y}9bjxOZ>Xl~0dG?H(p4vx|v|HJxdLx$&7ux=hQ;
z8cs~HmnGHIf4-S{{=NL{FvOZxKpt0EC~O;R9jY|-&^hI;MFwmbI98a!6Ez!~hhGvP
zM?_n5%kJaDJ*Q5ciX40aKMhzVe%(;|RGG&Q1K8_X00sa(jX)No+uPgOHl$&segAB&
z96EZGID<PiGCcf=r(+FdPpX3Pw?Fv#`8Ctke0r?g*x5;^cw?Dyg_M}M{?n%yEz7xH
z94H)^%F3UdpRCPlUmje_(K|E;+QKMG$RO>R2k^0)>96?m;xY|3MpyX8y&c=)+;9I&
z>*xlS0eM$VO^y1(9x6Z(?E7R*6y(5=%s0YDimY&-ya4mWB5BWv2)Eja6V~w6m**Er
z>FMd`V1tc@Fk9q)Ow;CXOccHN%zx{8Q&W=_Z1!8x(V-BIz9ax0FF0RT_{Jew(&5r)
z9X-7}o&KuqBtZD;5Ny*ZZ_+}rbMf|Wg&~XyCZ*|KedY5lRs(WnwA5e~Tf;1_u8zex
z6wqXx`hH(?ztIGpK_g0+vP@6zzbls>TB?>R=h*;DyJ<KMLLQgmbxb8bN2k(rDire3
z?1F-VQ#`KT-Wn<@7;u6-#rUtVnIIyg!Gugea`~}&m6u&lA*Y4^nr$Sf{9ahjO~9Nn
z49JAfOvU6}zx#)MN=jUZjSF(6FoJdcm!#ajJDI2d#<X<x!h3mjzpv%4d=I3Zse#6{
z&gwe?+=eOntq-qFrZc}4jNvub$kZF|)ZlK0R^3TUi-zynqXxUqZY)phTUbOx7P?PD
zf)PVsP4yHFc_uGMKgREbBoIG3GLD&4c^yT>98&kIy(N1nn1z~d(eVufuy4#%(NOF?
zQupM{<7YQkoT`_)&#OBkk%BFX1kggpcU9zlifpi?L-#O*QEZXVhueR3-(F#hNb$?>
zhrf4buYQZu#jx1eSfF@yK*671Y^6pdZewM(HQBi)9QGh&S?q~QesZwEUAH%{{pu^D
z38Usb-Wtt`!^AJO*8%Mef|en|jS`_1qsKsw=jP|@SLes*SXgcWm3AG1KaY%$htTn<
zBj5$<q2lHyX5l-3!mQfoxy4Wqq~sh*zAUwyzbUr2H=Ntk6xrcND#xZkG>L&Mdju9t
z13YAEDXna(Ba@Jqk5AP04I^X_qp%_q#catTC7be%rDeUi!ze(w356f_-JEZQWSYCu
z<3|uo{KenjUYiu#?7_C^g+N#$qoQhtv@%lt9hLz=usU5fq-SDs3$iLcm=Bn6S`9)-
zuWv!X8v$fF0kL%+vhy)WN?<5+`pTR&YW=rp+1VoigZJ_ClT3a{4=XE^erO=@`}c2@
z^p`mFP@@110gm6o3iw(e{7xoJIE$ReAy5UwAV`<AjKyp2XOZ_h0@T3bfEBQ{o%GAJ
z)IJ0hBu2=lo8Z@@VEJB;Aya}R*=Mm+gN~Ck3OWe9hBb<$+Xhw%f*hT6r6@>cyQUQL
z7nXV~8zBKf(HGV;ibQ}+s+oHI?tROey#4+aG+jx56U>^)eO|o0T6zWsXex<FNPY*$
zAL(t5U>=#Bjj;^aD($6kx8E?In3SGG5^pS%NMt+onF)AVqO3bV0Rcfrk)^V`_d7w+
zo$s3uA3og3?pz%hu)RhK8TR*2k7*!sot?g`=y7>RG`5)sibu<2n>K#yDxEOFzW=v!
zGFv$0jIiz7e-9FpP}adT!k=ueA-dYeul+z`52RQH25BiNl;LVYpwp?(GQ{RwKx;!x
z^r^AKj1VpBj)+|aWS=O<AbhrF<9)6#&<ht&&lAUv;Q)O};Z7=csSMq8CA~w8NJ#aX
z9dulL08#k@NRj~I!7$lrzQ0eJy}EAHuWVI^p{)md0-unO(8+nExVTsZ2#Acld^X5r
zM(YcZyk-O3xVX9=18OP)S;M{fcnIDQ7jNFYY4z@bBpDeQ{!|WRjFgbmL`Hiy+}wkH
zr>IC+34|e%HLknUh%#sO?jguHD)vE@mhG1aP(?ZhhG57x*y4-KD(E2_4g~SRWVzR&
zXe9ouMLle40NOweu4_b)LSuN~v6O5QWQx}p>p(D!O-#H637W$8>X`a;p~WjUu_Q`B
zrbZwh&A-v60p2A8d=>3PNb*zUJWut{&dfv`<r|McoM=MgOo7RB0#Ih2>-Sy$kk$;-
z^2~F}`079<6UcfkLBtf1>$Lz+n}Fmfejp@)hu-+ZfA`(+D?qwjFWct2+O775L1!}(
zn?ldR8n_)qCDwRIbZ_;2P*|V@<tP}~C@?HuX=!HIdaa;8+Alr;ij5kG;eod86BVVi
z^j|x0>3vH00j>KP8Zlg}E46=)cK?Bdd>B?TXlU%yy`_X05h>}#k%kbX_0=yIV@8rL
zr{S>nbY*UN?-?YO1;MUl#OAusJBND`5)hzt9z{Y}>5ohxk$wj9vS^7CP$SJ#ry8ne
zYa$vNj{B~SCm@_Aq2Z!b;Z{HY^6I(CS-!7Ih~gEq0=;P}wtXA<hMG&^*1<F%0<5FT
z+u38LpB2)SmV$FHkXVZ{4%n^Y*H5dd-7KH}{{0qE9oKs^0DE6RNQ%$c^Ic<t5+@=d
zQPQhq?9?}>aP;VD-x^Tij#yN)z`&odw%&*80EU8577VnsRuUJkki7_1vMV(Of)=rn
zEO8|WLeJSg?qXfE2My&9GH+?7R18*ep(Vt~Xk+L#KYAj25{>tLA@ke7Q>;PU1}!H<
zjrYmI4IoUTke<}vn0<BDHod5*NZ<13Vc>ORtud|D*A{4*n26&~g}|0EOlq9`_RVI|
zj5k&VG|`Q%Hve;79CbNb3A{W!7<mZ6$jFH1>C;c2&j1I&Loa=NeCoQoj8a6-e}xQ@
zCss3(OErvIa><&O?i_QtS^!%&N6dAi7nRpX!w<SZ5JDXWXgSEQlVXzdK9G>KY5MnX
zH>B<XS`uN4zrHe{3=MFJ7P_^VtMxs<|K&(U<}@(+Y|ur07T!tI?cEy+VF&c18VjVe
zo|lo89RX5*;Va0q^D9FEJ^7r)j>h5yp#Q5kH8)$Y{T?Typ=kwy0D2k%ge?2o!i3RJ
z=_?<JP~AYz<2#n59s2Zq8LyPoUf{{nm23_`M%5XD#@()EbI{PyC51s|$K|)EUk!T`
z<W<d5_c1ik&<u}XU+9pwS!h`s{W$G9IVR%RD}lBZ1dC<}IGvE+J$(H5BCJCs#PP(R
za`5{DsIm`a3mSzv4A3<U*gjf@*x~|-xVZRp>qZi!VIe*@@h*AF(-%@+RGFCvT*!nt
zWH(qXJLtP`T1LjCE0HECv1?Px7a~id!ZooA7cX``Idc#RWI{qhtFQs`o+5lhl?@nS
zHF)OyM=jyZ^JPw7s=SNz6)ViBxw*OLM}GYH$`Yokrgmu&#7@=xuG^V2UWlLo26Vi-
z;r(l%iW!mS>gs9?1GVf+nKL)iogr~RnFoT-urQ6(<K3{Fo<aLPrn;#h{7531)Z^#p
zJ=k2ppOpX~=%lFMx(C8c5aSaSZ+N|mncZ3$(tzA@9wcAT*63kSRHEGJUn`v?%ET2t
zm!^AaOu@{|?7K4Ht)5@43kvkw+S=-TE4PE+D;_cw`*)s=Bzi92xntP+nL60Sf!h2?
zVkV(tyXif6jT8p_>6uzcg&_NaT0{JvN;S3a+=mZ|K&^ue`R4IV5pQqpO914kjjn6I
zZ9%|&z6pr~eA|R@n4bPZ4fRLG{Aur`^dVz6^3|VR`A~Vomz9<2S3o$~h8V$S`Peug
z1ayjf_wOGUj30&Q&(z4Bp}e*6Jv)Y1M1&TBEQ+qyjiLJv9LVY2xB2m-0bG3hgCyH&
zLJm$kI?4MW{@B>sTGs~=`#?!7s)0KeX?#9qNYTH4KNKKq|A7PhgoLO;60C>x9K(Px
zUKl7eugZd1wd;F%6kxi!G)_=UQ?m}HgDrnUP3?2tULmtv-a~%O092~JzSR{~sy0%_
zqNM*O2Lk<jGVe)EO-)8leq2+N%;MTO6B6+E?AasP?fmHx6)XUtyB5>itE)b_P=;^?
zG_I28f#@88lwJ@Y09*6CIBW5Ej4Y_`Q?1QH0WbE(Mhx;NUIBrVM?U@VKvxuJType~
zOYIcs?=!FVp@Z<IJ|$xWWh(@NTu6uNZn4+FwZis=%#DnKLUnfV)pMwif%>)&w&_l3
zro^uEIL8R|Q^mxDrT3*{1dJvUUL3j$=+52}K60c9`Y!_6F-X~{mV_uzP*70h{qP;y
zB5BNkLB4}TEZC@|U%!4O+q35wr~*FLnwKs;>KtD=apHu}_S&Q?perH+0BtB#WMyaL
zFwjteV%EVbKs6VrDNwSC5rGagX$o@uN`X}%S(fR%ce$7GbIQn^QQL27HV&|1<^Y}$
z`gmH<N3_ucmE8wH5h7cDaWScK?Nd7<&>^*T1>+kU8wnxl#W1K9UmrM_(AH0MOvTkz
z)Xm);AlS84{>7KWJBr~26Z3jng7AV^*nUqBhkTLW`II+S6SVjUKo3Zy+WQCg<w-+T
zCVF!Khf4WIT7vPvRqwT_pKF$ba008t<^R)4f5+W>xwxgApDRy<f2=S-<~YDdqN1gr
zMbaHjVysA%E6g@~#`1GQ5$8Kv<U3f2#B~_l+e>ibEPiSdZ`9}<qOx>iYhh|~aYKvZ
z-B&HdIB}Ht`^UQo5=*G&C_BPl#na#}$2o^6f55i<jVNAt#UaU^n=s>me(C2hg%I*K
zWtsw3*Ym3mS7x{n4W_cfN+j~`t0c5WzE$^oKZg`-s!&|V$6R5804FJ-K82j0A^XtK
zc!%RU?y?B29(w;t*_qAPLC0#GLKU8VYX(P{k)vl>=~*9ERa8?@-L%?p$EeZ4;viCz
zbE8?XqapoNE{>0AZp1wOn80NI%G3JRWxRiF|GUUk<iR*UY&S#QahjZIu4!f6bDL4n
z@7x-d%6SiQBB!1(<whmAB&(_kvpdNsxTQ*qX@qPux^yzBOuSk8gMOfXj`7)nyP6oY
z@RpZ;+O>`2&{nB17`Tc-N__L#cYQQym}Fs?-q2zZJJXwMEsB{6&NI$2Ei4DaGp<rY
z4@P$sYB4&PknuN2hrQJ%0d0?`K-wz&xj+zu`YR)3+(4xvifY)~+edi@td5Z03<-g{
z7a_O+VAs??kaURrNfv|$fgDNJAUxiRjBH90zpU-Y;yLyPYE)36VS^0^HSb&H<udK5
z^2|W<PC&_t4uUe2{OqUx4#-edaT#se15N-GkRi2<Fu4pcV^ZxSdSBQw8uW&St}Z4>
z%Ak6GrJym7wFkr$US5V+vLK$sDh5wFF0N>#LA<_u0K-ysNCN@_s^=Og5+xmsQ+vOE
zeQ_|9hC6y~VN#Wr2qe`VrVUvtIi{E2HMhLn0!9N`1_t-m<-fy)<h@hl1Kehwg|=9P
zDt3^0_+3G$V=|0RbkgEN-zk%3vJB8NWBD{deiFDZD<gx#7}WE;eIY<0stH`T6Vfb9
z1xyW4e~s!jd}0V=S@irJ0G6EuTXxuM79Csy)6^`fHjL9}6@X0W02BNJ4U!UESzcE6
z^74u*I+NdpvI<acKz5#geK36(<RT($-gD`SI23&Z<4^gnZfp#_weHfHAkiFOcN8K4
zPO3)LCP*+m;09_6=&wkMLxBJ!GmzVArk0_slL_r_4WVFWD|}HFr-}7kT6eVAgPKCs
z*4fXQOCc;Q4BFneZ{Jwrfgjejwmxp@LH#^*hzx_s7<A^b&OZ2kNa$!S6XN0sEiEmx
zrBsg}&vVojN>CL_7#i#R9PDsL#XXie2r?S|;9@AJ0p|jt34&R;EjU+Bo;-=xwYxn0
zIVUFv!`IcR0Bp0AKG`V-)n6~YVo=S=0qBv0H;TjvRLsmcfJGvzy*M+#j*Kt*`gFj5
za2Nx>whH|H&Ye4$in1ky0ZI@ePF%Sn@X~oG8YC4f@CslUB#HmA7-apeEp|dq`{Lg}
z)<snJ{kxr6g&VQ^MEfx>FDa0R?<6K3vS^A;O4>sjcAoITe+?7Oav;~JLAxGlCqXjn
zt1wqbsHv?Dbi;0OEdRbWHP224oke0JIfa?>#uf3EO!Dzu;i47eVp+S=Sf&e`Cajz~
zBfcG1a{jLdVE}6k!UQ`4DzCi^?C{8`o!oto2xcnQ^Ju-uj1*xI8!cQYo<bmWn4qM2
zVwwU*?kgp1bAE5qhhke&x`cql`h?b4iB0@0X*<O+H2Q(?2)Tsh1uR0AX6G3s01;yl
z(GY_GSm5j-fSr~_(t_FjDBp`LWs)NB$ktK>7P*0dFLKQ9(PqpFZH7xInFHq-MbK5W
z=qk_ub5)}pen(CCtO8F>b;#MkB@Bo-TO#=3M{TJ1-MxjEB}d_a3J<t^a(`JN(L@Lj
zY6!-HJq<iOi31?l2T8GnWOraBc}P?o>iX*8=ky6Lz{iD1V}+J9Vs=!2HTK^x`R6-#
zTZe-_5Lyr+IHkIU>tJIMBIw*pV0&P90M9AHZ)E7<sCCvI(@6N?={EqPsrJ+F{)Gg7
z>Zp&r41ke64<)|4VQE4^1^IDyuRHozD_}4j_N5WjTp09+%@Eu5A`dGEg&FK=P_5)q
zP~dp-<cVar`ST0JQ1zw&+l9~d>%3xO#izDV<(xN`MG^FW`=5>F^2jX)4Q;X~7zVKq
zinC!L{*Hn?_<it|Jm@rcl9SInZb3$e1X2+Bj-NV3z6sVrpzUUr9<Or;J2F+F;CMg@
zczSY+Ov*ZgE^acZj2j+mvsA#3`Ts9zMXl3-oWh^Y1;m*^@|y$G7UYck1O#5^rtQ=M
zV^-%D7q3P(K2aW|jz$aemJ!i^uA%?@tPb4f&6_u<7?%AT+KbBRU^r_1{Nzk*!r29~
z^RRm**rGZczn%JwUpL6{#16m18CrgvJqTl+M+)WOvqcuL4T-B?y^4DC>eZ{*)Kv4w
zQWgPQo&fQzA#JEsG*wiq4t0sa8?%bP24As5My3k4lscj^F(^qi0RexilyfT&=@U9=
z5ax3cc#N-$H40cQo$y=h?W7EZK`|7Lo|sX&h)Q2j!@)yCq4fJ)fuCQ!f2OzeFcPmp
z0OysJWrZMB_)!OHkfWocO_OX<EhYP&mFOvtdT((&Ta)!mdWp4dkebM!vUJLQtd~@{
zGva3oE)e|(KE71C<Gnj#f`<$)12}$Zx8pxCaeqkRz&W}oB49*e^--!$9MiKbH`-p}
zTc4X`%@``Ox9;6pW~U*GI28AqmW|Ec0~a<Dv@<1^WiBJfk%9t6ZXnrJV;i9BA~p`C
zGsipr(qu+&&+qF{@q2Cn+^H}P_Ev0s@okI@gXm!b3)HyCA_~CY`se2-hXe(|{Bi`d
z0_h73ddyR`D}y&6#gnR8|9KeJHjlhKJ5cOHM~)C-NRTM)v1kMVz-6Xi7Gi)kDB~#S
z0Ncm8=;!Kr_v>;$ME!%Cc{kfnVCotgV_>I2u0aT*bP#r$n$+eS?zFdS%gFS<d4Wod
z5XYdV5!st0?=3V4>KsHZu%Hp3nzFyY63B@tV@3UStEkqGnU4O<9Qf``<Xb7-5i*2k
z15DvOWI+}3)=&SA{iQ!92=jyq@<XR4HwCt^ceWTkMzDjO10m{bn=f6A-O0ZQJrN!t
z4@kq+osq|EwJ?I=ZZpdo`|=ttghiZyC}I`K+k0I?W0hzEc)m~kmN-W9^R0REk16<`
zt}C_+&|T|qB1ozAib$D^!<@?I5f=Ays*$?~X`flwhsiQ>&g4e+tWo@;k&z+j*~Y!m
zV%bKZJqUOhb$m}rWyP}fI#@~&(w{p37{lnX;NNoD>%s1Rj)%+i=YrRZCYLc=>GnQm
zL=fcwrE;$wtQ*i(CY|e7a$gCBCl*i=W=P)E#1AJw4*YbDEfGHY3DnY*ctC-w{Td1e
zhM+@r=e@%xzpYQ{65a#4ftsNPd~_<4Xmj?HbNYyz2>QqyK8jpGsQ+CEP+h!Hp)OKU
z<y`nKT{RBIbv(G{T~oo)PBpw~@z-w?!EeWD;xp>k9p4k8p34E2dxcg7xp1Kw>Y^je
zC>1|K8kazA_EyB(8QRuH4$qbkA)lk^aellYf#S^oD`Cb_vdRh$%2{#*<(_qz9R=kA
zCcfP|ZUwh|2Y&7t=*?U=urlE$ve7=kjt0Yp68|#ex0^@`DT+JZaL-{%Z{iUJPy%@?
z2}xAWcV5DHVhOHYhP>pjTdd%ghOcAYZXz7SsIjIZSnu6o7?!_U+wc%KhhPWnJ@IZ}
z(g5wV_nxz3dQdqBC2D8VNkS{wG)R*89TY?Wl=s2!r_*t|XY1aP9y&}Swvt>W4Q;W>
z)MmqokAdCliGe>Pqq&BHXKG6Q?rI7SFx`9{h=T9+=tp)Xz^K7u0smuB@DbtQbbfUj
zAQ390A|BuM&QwbhYY<#<2wY6XwjE~%QRpESJBfk#wjbkxS}PE0AeRg)uWiI&yIO%b
z`^d+^UR<x1qrIy(aB33wp?hKm8clbOC61^L0u2F%bUFqG!U{8|+hv(QWo}^GuL9c{
zw+>kqU2Y%XLt`q!pGqiW*TDn)>4b0Eg9o<}=K|NN^mrfrZU{dLU2BbE4+DK2hoOxP
zHCzzHsv#n+_SA0MzA1a@TpxcwSfHqq5~Mh~uhMZObs*(udCv}Fc<0)!y>MqU)P9~r
zK!W0X-r)4n|CzCzEiehJ@!M#C8g^P*+J)5uZCWCf^g|id#mh?_yj)OkJ2UHljw9U(
zpDe9sOq4RYvxsflAL5=B6lkaXS%HZh{R5s74C9pZP%$<(e%0Fx1w=sje>JW#LYAKY
zG#zZAARO)Z3QnF31ScApBZI(;6z++%7^u-)1YuIfXO0JnxR3+gr9W(`Rsrj;`Y;(<
z8|u7dK~{M!jg5_>U~55k4%JY~dVowM$Z^QHU{EiphsR8H0Sdo*2K9Fg45h*U$MQB6
zT~q`L706)7Nxg@GU*&&Kc%&r%(#Ig-u}zK1(NEdLtqSd(v!~H6y7urM?6g6X#Yt~I
z(H~^PASH)=P}-nGH5@1nbV8G`I*{M@r?C}M{70kQzXW-d3WdrDcS77nCb<?VEiJ9g
zPP<61z4_BBDx;X0BGtFc4|do7G3{b-XoAv(ycm!z0UNqKe&&&OU_^vgYG1|mCD2s_
z!S3#8I0K${a2w?7I97uk2M##~LQ5~NmtR_@9od!#gm!Il`R=vv-h5@S`^sMKg2}vK
z_`Xz9aRc_4+TMnTe0U55T2$Kw2hjykoXXwC$x)H4`kMQh+EP0Z<)DB>DCImz8FJjU
zXBv!?s?gaOsO(Bu37_Uk+yT2>L0F+#S-c8MpU*%XJpr{wRAocCCb)Ki>bR!%&Hw%#
z1b!GDooM}QIy%(8zP|Q;(@>zsgMGmYO0?h?Nj7ovG571e_jVi{Na{2Zdp+D`69c^5
zWm#Zj(I-h@Eg+6T{=7OH@FxP23-CdWp#uWo+@F7Qxae~Q=YPzw<~>mzdUI_7)sG;1
z%Ju_eJm`L+_Ghv?he1a#eR;*mw-Q(QZs~2kO}As=ezfV7;@;zsZ*LwMQQ&yOg|DhK
zipUU)%1<UxG)e8d9TCw8ZX6`f55Br_5p>XhrUZ7KS;XK!z`hHsfGR-UU1S*p5}~U_
zI(RrB`-jqj$i)^)RF)^BrdGGI;<@x8jS6J7d5ad~5B0|Ygyxslui+g@6049}V}k?O
zh=_>DH?zTE$T8j{V1<E!;eUGfE^L5x&&8!&GNa<^S23umfS%csn~I1sXvZX2dx|Ur
z&_Gm*{=Kj;Uq?v8BPu$dHnGPvWjGlpvUQf{r}=JdI)XphgW~{XMHVAKa#KnpP&4YF
z&#qw6++5H1v`n#Lnj&MeBph_6Ad|CdIa${@)UOEBC3ZM}byG?-E*cX8>oVwwCxERq
zOJXtH%G7X@1BhMX@29Wpa`to-GrNrN+^Jz8yYXh{PF`{GE7&g}m&gwQ6_D_$r6?ft
zP`U|w@#2NR&;vn=>w4VShs`%Thjt!O;X$iKGRC*paZzt-fqS9U6<S*<FqB3a#208j
zi?LP(x*Z)pB<>x9!e^v*C1pFZZGkdiC@|Y!Ar2~w)0?tKZ+t5W3*TXm`x1hYUiyio
z?$@uYP{=bDaPBT(g(9i;TDM`6wJeK@@=mt+>%mFF41gb0tIF{ONgsJs$IpM7ro_!f
zdRksXQpC#phwj)xa0Wpf$bb_x!6Z}!7~+56wqB}aAd|$u493C<UB($RYRGa;AM8#x
zKR*?|=+!bCROjcwN(c1`0*sNI7}0y=UH<*_hnLW4{9fz2X2UJ>V+|MH?F1h&hBzT2
zN8}6uidqlmNAO18c{~2d|E;>UC&kGb3$kC=nZM78(7t%z{|b62Mv=d<DTRZTE&+j1
z6+pEkM~gXmPk`}j5t_Mlo2}h|kid2TyBjh`RZ+^(9zr-VLk0UIX%AtBqN@wmOWpl9
z`&qt?>lh?b&i(V?{SN2&#YC9#N)(vO#$*4TEnF;5iC=DkDd#n;eW#B|2GaXtf}GMw
zAZ`4|U#Z^K{{oT%W9J14Dc9OEW>$?k;#@{DDsCX+6$NrBm#hqSOgbU><m44AxbX($
zp+!yC@YS?85oiM^$%j$Z#P=&>O9yt>G8^!yS8k4PcALfst!J1eZ`dJs%QtZyX{-~t
z?HBC1hs1Z1^4v~%hIlO(Uh7PTVdL&SWN?o=^mx#WI@FsOhOd|%`lFLV+P0%5{33=Q
zaFA!g6Sc|iu@l<mF`vm;u<2BXGZ`mzx1=<1z*~M15b_vR9wyu20$+h-RZ60v79xeN
z*^sheCu=z(-Q$2zJ^U*gT%g1g$!G><z(;e1NDq*T!QEN>M`yc5vAY&`tYs62aHsF@
z4iLYMB+li>#~f6mKc1=L<0E5m#vv_#8L$$O9P}|*5}-Pm_xak!bQzp>iR6L+FET=B
zB6C)F%S;86NwyiRL44`txf59be-HU^4k%K}vDXU11S+IF9{@7~-{HerzED2vF$}Zf
z3<5?9k5PPf8(Rfmku}&_km3HZPU<t?HMepwkbn@G_tGDh-W-4}A6Qc$QEBnw<m4O~
z8{<=g>Wj7~S$92Jj^-*SDt3u9|HXM6XqTg40|L>N@ht}j2QtFlyLaz~{RWU6*oLae
zw&1_%V{_@!po90*^ATz5<5s6W*EOsDwSI3klh#3&1eyWC;NYP8IQ$D->@`zfKtIs2
zto{7_7eF>c1|Znja5_kD%;D5uF<Ywn7<mcj!=c?(D)n}hFyjd&yA)-N;xY?LiNUyu
zsxqi-2j_hpd`}-gPGBe)zdE<F;@rd~O~1qQi?8kF#$HudL;Q`6i@Ru;78iGBikNF@
zd}JgLxpWj2U$w~1&(EWdj=?zqs^#sy+0*ZcGhgUp#ImJ52VmXj+rU8Z$01YJ$&+RG
z`8#)NO(+2fex(aF_V;Ou6qc4lY*XMV2m5Yz*gIDTF9+E~4<T~ECYy*OO1rwEF_1+t
zp^bt1kSOOVc>DHk@Cs32i6YhnAeJ_-gG(6*J-7o=z6r(gJNNHjlBirkb_0mVGTt*B
z%d<l<`q}Eo1miFK`tm%=-*<1Ti=@czBHyp!?wuh7MWp{yc;e^aaI*dSHbEH7kzAt-
zG)k)&5&+g$W@A8b!0LeViF*Aq0S8eg6#9LJ14&(m>u_-Vsz5*H9WSvm*{1V8mt|={
zD}(%1N!XZKa(8!?@$OUEh;bczYTVcT!^)g^&j0*yi|6nYOT6()(hky6wOmrJovIhq
z!JXmDujZgELLwI`BN!^~&eA#f<14iJY&duMu@syk&717zn42yfQc5<w0S8QYiv{7T
z7d(SZ2!8g8Vg~Oh%R(S&LvSS(h`VFo%}c45i@)nT{E_Z2I3gqD>C*n`;~>joK?RzY
zjW`ST#A_!JvvEg%JQllNbnc3Zb>X?H9c?Zco-#Q@wd(Q7`SC6zI$wurdhczoLIU$w
zdH|9a8K>UXe;3@%bSuHV<Z=1vjUNfY6|Sjo>(NCRTqOR4uj5jNfAU!*ha!0|kA1hJ
ztk4DN&~YmvZbI^+#4=%Mx`!^b#Hrs8OD|lXegUuty?X$?8<^h(BIw!A_pmju((eS!
zVt^_`@1r*e-5T9QG~Vsxn3Y=SGXsr`X>3bscW_PN6Xo5WF2VEt1%*k^cyv|!p^2+%
zz%-Y#7m2H@2x##hyPy~a7i|YQM-#ZAggDmd0`_oSyq!>ccRIRnK_foYO7om0kS_c&
zNr0+dM%HjioE*-P<a^mQNfG#@3qGm3SpFC6p5ugpkVk#x9N!5v#xSQd(I08%W(ZWU
z_uH3tl0|(*5$xlDc;w%|iym<~k<>?OPsfklG0qc*=iJyH0cg3su#@1%GChCrpR~;_
zaAl*qERsBVW6_zjm41FB)t^KqKZ=GXy6RxCjT@n6@xO?gP$n<A@`(gI3iy~9-Qbdw
zk|O;~H+T4VL8uxnQGI`Ec^nw+{yq(aefN-q+Q=AqU+ciPWAEn(&eBWmiGe^wButV?
zz<4PbPY%ZqPvsPElU}0uoPdv!$KAn-Qi;uycWFrJ=wumFBxYY~iVQ2@y}XbV9E==|
zv3KuY5OwT5YDAH7?Xt^GaG$cC$IbnlMF5gp_R_ygKBPFZ8rFw9GJBh#i7!^NA9x#_
zl^AUt8iErS#gw7f@IQ9f7#n=O_%Hc_P873GV&1!duEAdqNdELwNo9hX(UQ1$ckpvw
ztp26=p_3NRwRhCnJ-}9?dLMy8Yw$$kI&EY^u<SzqZXEFj_@u=koqcwpnY;iDWe}Gd
z00Z^^=~xXdH@9$ik9{eCpDGlS;2a5*2XB^?NPx$sr{Z+p!AA3AGKdYfjmkc#BJ@Od
zM{wp^0egjbq7Ie<dIpB(2pO=gj|{sUerr+V%L;xr+Vp_AdeT)eKzG1_LNMI-JVDP=
zsEY^-9Cg5JF)S>H0avxRVS+k|U?HDJvMwLcnZQm<0`u0yojkD%W+y&{fd4QZ<Vh^M
z*pmgjvypBRx4p}Aj<68&NOJtyz>@mjjaz-()o}8lCN9aL!P;>N?=QcL4Ce$%RP0T5
z_vAcmH)~)+7D!Eku{+0szJuEFi)efX;XgKqBwRK^JoL9fwl^Gihs}a^7YA%8@t@~R
zPkc`Z7N{h!;g;S}t-ed4PdRK=tOB-{S$FCO#S)Zw8@5pemEDbgg#~*p0iu;K*XYi!
z+zY!>yRnhmt{Y`T%2j_g|0aB@0g}N^a5)FSCzfip`+#tGfQRV`Os7yqU+9is!w$*K
zN=Bb@jH@Ig24#=vVgwureAK+d{q}~z)7}DxT@Z8`tK3}{P;YttS-})%F%1b}$}U3O
z$HR3+zjt=3jTbcgIxN@S)ygY^-ThHIlWj@;NQAU)ZD8kDi*KN7qTP6&rTcGC?hK2V
zGz=t1eY_4r-q>?6Q)6V6*Y>rA7!Iq~?4Z2OEDWlv&r6c(UfglwIhx(u4#I5;q53Mj
zGh6_d%p0bW9wOTjK4UpAVh>wBt^3!#CO*_oQoPHzDn#JnPpUbz<#r#z439ATTT+bu
zioO-=XI^bMwmWY8Ff-)}g!o7Gh*C@KOxLfwM#TTq2UofcCoZ6dLJDO7<bwixqjaw_
zoL7b8M%k_K#p!EgMEz{U-*))?i)R3ae|gft+Ani`@ld7rY&6g#IO}12J^(CH$W5H)
zzkY>7-is29uuVYeT;UjX_H~pp8XMnVU4<j*Y-29JlC8O{uJ6VfF~V>jlh%VSKy1;$
zelSpCn1>uE)OqF`D1@!xpsvwRIG2*0n@a}81E#ldhE@qVut0qRH#8n-8F;7OnlGLF
zn;fV<F&s2v_j*!5WWqvrkBRWZG_h~x4g}h0tgbm8;KKs}(un3b1}7&>CWeRcZEczl
zA3ikPcyR9?WA-`*E<2+ffAEQewH|rqFG6*o?d@BKRYIPNI^;YVMX&^RBy>rs|6I74
zb^xfHH3<L{9y&J)rwDICErAAkQo&rN2STM|GSrCC$#I%Wt-m+S=P&4;3+}hW!|BSP
z)^!^WRcAus7mD01plalQ*8R&5^&;XWtZ<P9OfQRsQE&%X+M-brKOun`9N=zlZjo=?
z-Q0%9#?DMTfH3pZh#TuIxk3m<Z~(cpRmyOv0AhfzS-DGQn#S=g{y>#aJi9B0<X=uc
z-v8kthrC)4$a{Mrq_K37;#1|lyG^(;^r8YdGmet!DoZGlKQUxe{LV%64}m@EjUWLJ
zhRlo2x0y^{U6<5Jl?#Ex0$DJL&!0cX@Sx`LC@EPK`~f!~vd^O90ibyaS8px%q0<A8
zbknIZsI}~z76KRRFj(1;6#>p4fV1)@thpB)*#moaDf@(#r2BtyLS<@Px`YVn_*Xa>
zfewlIOg$}|Yhichfs^>)vpbd`WRCq;GgO$Fkn~&8-qdayEc(4ly)DlqP2J;&9l6bh
zx!@9~idK{7O}4tqR=l`8zO5{f)M971wNcM4^xf9M#YKTe?1tiLRtqqp30t5WBbZ);
zClh3jY=ne7NoV7vRN`LZ3sZI&og_j(Wng1FNR%rINVLW}L+&<lc4vA}_W62~fD7Yb
z0*d1HM`CAZU*&@5q{qEbA|lukUiJCFs2%t5-o1TVe%ZZ#=YFzx+`IQ9o#j4c*E=};
zs0GvH&lV79Y$`IK+xm(#doN8Ln6Ti?v;KlGan(prV(l7U_v}`5JLA~670?L!(k~XN
z4c`<Od+tpml1UDYOv?J`_KnFt_S#bx(exqmo!ciC2-~WSBku-H>0R}uT%EtBGG1g!
z&40112Dfy=s!O%5x3lBhWY<ycL0ipycN1H(5`_cyTLFxDXMQNt0z0LEenb|%VP${R
zA7*^otclj=+oq)GW~u#XQ2dzOapSwBX3C`ZzD-&BT$+40Cv9eF;Xy1-zA($ezd&Ak
zNbqQFeogm*f<dhf8{Px<R?~Ly=+DeiD@N-yM5;V=v7&<%t6XyyL7r!1)mY09bBN|?
zP)K;js~THiUptw|%I6P~XnoQ<ve4jvl17GUvaa(TgAUF65bbfo(@&_KudXp9NSLnX
zrOX$_nv1NoD!U5&Au;ulxwyulIP%n>-&5KB^8p{HY5nJ~*7)Qv&cp-^H!QK+bu|$~
zcSx0KCPP>6>#6EnehjOgn#4X}Q0Y|Z`nal03stv=)A+oQYa6H3_6Da9QQ}u_)~a}V
zL*FAU?i)C85}$H4QzCXdIiT~xn2g@A4oASD=em#?OeE)8Wssz|<<Gg_XsQ9n6y$17
z`h*VvfP>?q%bimrJf1hRNAk1%)3dYv`%e1Gz_~Fxv4aO?WPeT_=Ox}xjc;_cJn->U
zU#Q!Y`Io_rcQl>y&o@p*F3a~D_jJrm7Zqu7ADMetKW**&d9rRoz({o;UFYe|O%eoB
z#eT3}hR35?qu%s0MYHsNCDn<h?zlg-7!#DQS<^ukORcdlzJKk{0fTT%KoB$RuVA=a
z^~={bw5)jL3f`z8YtcBdy06aE;ZV(2ozsDaqgcr=D#oFdQ*&Lke#+*_xW>H%(eKxZ
zTMn$OY5~lhqR8hyX=q9C%?W?p(|Puo+GkDJ3J(R-w;f@Gxi!37-?GQ>EtrZ@Uoxxm
zG&S<0Gm+eLC#`DfLQHqv&7=4#VV>`pIdSpt2$5@^g2jc*^*A}rOjRu!;``ClB+k+Y
z{az(|?lUy(EnGCpEqAQd>8~;NA&l_a44Dd%<_W|EJnVk*p76-!wlT;sJRkb8SnQtt
z+svcF!N%vKi;KnV;7GJ_;gFE9u*SJ-#JdNiNm6x&bbq`P)d)+TW?P@-p>uM~{_VBo
zX-iFzvY#M@W06K99McG=j;2=;?5v-^q<AH#=k{1?5H)=!0sXPuMZerd#bca0WVePc
zQs_2-mvAX&sw~xPF&i%!P}lfpqQ|%_t!m?^s_kh?cdCd&Lr#5(NR>({!nD=2eRpmZ
z5a{BD2&wn=2x&d7z1~f`O=&&5tXF;|MY+0`+pqPEPie^O(8TP^dCR5aa*X%yXFq$$
z@!+l)<Gp*?&q_Fm57<iAvT>EAvHu+GwIneo+}4Vhl~Z}*ax=M~Zif7EvL)w;koQf4
z5iF-4HzT&^o|{1bH)@vzt>Kydfyrj%XOoDWbm+_F2%t0f@#be(ipp6lor_?3<=r!4
z7<D!yjeaUw^F>wgQ`qyY!`_?zWb^`p{eC0gzxK-P&okvc+spCZjkRA|(TUTYO4i_{
zhsNgSC9L}3CUIV>^_BSQ<BsujHe~0gQzTcbFHm#*{?N5v|3G}5RN<x4LbSEp*o&3=
zvqpdJ823E8UN${+_!zBAc0rbo^>gSXagOZ;bJZ_L4hd*He@XrL?Nt5gnM0u((jiLP
zY(WpJ8t9zd4!WlQemS{*T}MwwR>e*D@#R?w(z)<=7?Fw}uC3N;)5s4Ov`)X@ljYrK
zS?R#wm$bPZ1a1d9j<T(ek#0S?+%r-4j2M5JhsXU>*pVc59`~nyHqSF%AKuN?SzUXF
z`RJ}vcw9zf9e@8U`-9@o(!+v`s%z$poXXE6E=pY(U9YvLiaR}EW3pxFe27WMyX%8|
zNY{-kLk5Q5iL&t~vK(wt+JnA@0s<PD`sQ2P#kWH@UW|O_p(D)P$5YwEBA6OU@VNL0
zjgxX@@cHc_7yHqGvwZI7dMHGvU#LM31_mU3DiXx+<$OI<ah*EhL;5jybD{qI2fPFD
zIznX)8U0juD$e$L<+HJj&y+b<vGv4u|K4cL&kFx}^KWpXdKmq<V1|W%JbH!kz4k!O
zQ2~K`5iZvw0;++lo5oh34aH5b<eoP%jSk(M%67R|H*n7Du!5X%o#F=8pR(U&c9Exl
zz$~9gOS;0}rZ~5R<5R6{XoPgarl{Q3?2pJO2Kl<P<$2ta?OzBv%)F+e{BC^LSStxx
zAG$dGF6_OUgZim)>BfwFCGFdNPV04KxK)Sb?V)&ghKxy~tsnEF`Rkpv_3pTwqHV?s
z!$&mtynDS|s#hZHZXF?0u4Tn$_XGsqnn}|+m{DGEoWm6wOK^qb$P!<|Xic)G)*BE0
zsqFqvoZ|T#SxL!e%H#qSxN&ZWVgE6)dv`CCXS2+lV(QoMCtJC6bZNw3f{b(z{<ne3
zc_KRsCz8g#GK#>DL8tmc*0*|j$9S%MDeQRgOJ?fZODhv0*PBiHBu}!do%R*?PFMMv
zJ6f00=~kR+6x1htaAYgM#)+F&&+_A+8~W=~ZHvVI{^Hmm!!`k3lI6J&>X6Y}7th5%
zGjV(-ar4b7_XCI7z6-L46S>3<q>S0g_&Jt5{gYSyRQreTR7G+-9W`}XRC&CEbI5Vg
z{oV8|MYh;w|B9vSLtJ>^2%5%rfwznMYK#Yk9PiAAoYUl(5w&~3bI-VJde|mu%Km{?
zINR!VqB{!*hr2m^1n0Z&@hqJf&OekfM?O4ou2!x|F;vCh-<_3(x7ba`fYhh*&F~Mw
zswpXOceix$Dy-QG3K>;0mn0-p#%;U|G|Ug27-nPa@5oZ=<{;h<*3%og6_j;>(X0YH
z9YRU$a*UN@A6W-!`$snwKW}%^slB|4nT8ToMvw9gb#D;Q3`L66^jv=J$#cnZU~ltY
zBAapM3k{PScihc`G2Mf{N`>scW}J7DE%8Z1T*uNXX}3>lv<K{GIn8vJE$CZn&?WPi
zv(Nr4Q}_^Z>RDt3n8=Z8h!cNakIs{7V8nkszGXId+hEHuqA2vIDo+MYK<IhJz2==g
z<0rINBKhzu_&>os#Z=y=1a@OhI&)jItER%n^kxq-B___>4PWpm^%^gFVE@KxsM}bg
zU%*lN<eqzlLN3A;lq=+t{k8=CeS@Ul-nLPEvGI+Uj-6y}c`9R9oRh$IlP6KcS4u_Y
zsTse-FQe6{H~TXeUy3=>JzKfBRjh;er_TSp=TLj6^4T@^7|KDyf2@OZwUt7+#p#DS
zbFm4@zJ9OnCcoXX%Oh%*yV=HW%E*|Y(uY6jZDs>!F{UDQV$W-@zL2UUr`VHYEJK`u
zYviu`;Eacpy>0I+-f(t)J{_=L?v^{h;L;K*uoA9?RUAsjB+ZEj@mhI@QXcBboa}5j
zxA?<6WJdbz;hY>f*B@$Pop(;eO%7iVtxogValFd-@tcVJO^zp9c!AS&TTFJ9_~rmr
zSaO-Phe2Z1!BPe%p*g2QJyTz%HZgeTf_lK~8`q^pqOn23ZJMAqsV|@DRj51;(l%;-
z`+7LU=SrjKH#?^&a#x}|+AS{iVb<@{aT*vqhww2dC_Ofm>GBC<wv2zVbW>S{d&ZtE
z*03~p;fj4o9HT9hT>It>k()#gqFF<_Q7ZZTLWqGTexMn4%b~b*Yv$|p$cF)Dmz9c&
z*@=*SWu&T=4m$_XPTcSHq5cNF-&f+va5d2_U7xJoK%B^cP|s3~IzTXBILR{b@?F8B
zq!-Bo6WV)p*@3;QsTr|Ms1N#A_J~Lq8!<3Tc*fNmy?^rUGxp7CUA{|myyfu?qoaY3
z{W}BV-z<54bDEfWdU}|n?na#~k($lhtM*R&&nXS=d8j{M>jd7Sqd5&vTJUE-rJT&F
zdZgFIF~c@@>c+>h9XtE~?Hde@nJ~y(ZbJbY5_dRb2d}d$?Oul($#HNpX6PM4?|*`l
z#eiKc4;k{C!Rs~9>o_3Kg|{5F+zV5IY|h5(e|NLb4%Kp_GhpZlF#H$Uidn#Fqm!l}
z(0#7lW#=$Ay!v1aa#M74)zFX;-aEiH^$cXLTWqOaM~FE8yNx}5y|c3us_PAKdaSt^
z9VQ3+wMmVyEYUGMycY(Y+NoaunU7(mrc}<(&ghjCa7f7e7X$NMa48jo5$@&Pkc?8(
zqv#ETpdvnRudl~}ps9KC<dbDdu&&>Vh!7WyxP2QP(8sXdR~msy=3%+zj$wlXF6knv
z`}^=xm%SvmB@9wC-8s_6$(Qkwfk`)wi2l8vv<m*2JipUmWG`KU(slDzXz_!e{eQbM
z3}$9$Ez1ZYS>}y^@)8#RbI|$d<tT8%o8E>NX6v7T7gxX=wa@`LFgRWMb#4hfdLVMZ
z2_)hwj?tHsV`Y;UNq=puPOp8zZ7BKQQ1Z&~ZxtpZfCIV1laoD~uU;rXdj78^CPHrR
zbbHG&NcA238hieF-BA}Pu}@x}245u@n+zvLM)cEFMJd2znGirp`D^W;exR-<W+*L&
zGk0UYZ>lXl(8!GV$d1GE-}Kh58mOW)<SJqC4xBRu+$=0)aON&s4kTxIi&eq%)6i$$
z^HxmYKKXz2P9qGnxc=h+da($~`q5zqIJ!9uCjwTXHjcyKWsT@~KYBq5oKJ)^;TM*F
zeT5oeBZx`wJQHE*s_|cz#EHnsv7Ie6tA`bRCp9(d&K+8)@!e*2g%V*y{YW?d61?#Y
zy&M9)o4{u*N}85~BNAQ_gWjfeAr&kfNQwX#&N1*+a`_D7;O66*dJ^mNN$@5h^u~?+
zl$S4=mwh*veShKoxN8-;<*kNVoj<fv&#g|qweLpWY%phAGr^1PV8!Q-{MUDoI@Y1r
z#3=l3<AY8FtMSs!dS8V%O@Ltloil)QS$uHZ;_~|xQQgbzCQw=g5sVn#&x0()NJ4|d
z7g0Z<7HS0=4tld4m`$Mc@Le$C=J{+mdyI}kj%GcEwYv(heQ4f#dA(oq+%v1d^6I$2
zqX9HKCQ=adGyoWywqE-F!l0CVKw-X#0X+-eUC;?o@qd+e=6_XIc^rQbB7{MZGIu~r
zQPBZ2MTuQPC-)W5Bt&dcbR;BvdA%%GaKQzAk<dtVA;%XbDVT{$vWOyRHJFKl%Kl1F
z7C~8z?aup4^$*PWn<Do<_nh;b^L@^Ff8G}Zg3rT${ut2(Ds-y1X@bRIwgnCIvm!c4
za0mkXr_Kj9ScIKkUG3+8)2inJHtIp12&+w)bWL+V35<ZY+CsUJ$r~GadwV1ANM&p7
zsOo+z8TLbr{hItJ{W5H%(9*)P5{KI#DhiBV0@H=Ot>`4)V^clOrTgoVstWrxSwW&i
zsiyN~Uq}Lx$Q-JX8z}xi6s=2UW3lF3iOXD+ga>bK=~LZ8UPS(Ie;fo<Y){bdWf=rp
z(R^58j*=E?!+uhW?KC<qEzPGWLD#}jc`*i(kov`ncozpgHYz4dW{y4VMOJfwAZn&e
zK;vCF$^yo&?Jswj6cuEwtj94^8<M=(hMb2H_L*Ft1g+MNv)LL97SrdNEwXiR@K&s0
zwbz;(^qqB_GiNYUv_+#N*%fP=<@5BUiFJ=3Pu_*><<roISkOGSZOhE$Qp9Rlu)r?o
z4I@pnt_lBx?RIFc`|7OlCP86{VVK>ySXJ5IlGA>Bfd{GBmy#EM_}sOJSiK2qrO%d?
zpNMmrauBbBxj|1)d6mgw<^Dws3!(%Q|J#az0MER4-;Euq`d}2NMv9>8N<JYVR7D?b
z?-fE2g<Q~+7q(NTNFr8pi%bGr506&pr9HgS=&`o`R<1oHMDj~Y%p}c8U|cdK`JHin
zY1(iPLXDQHrs*<}CGsCT%=TJeXM5O^^wIz#gQBs6nhNUwuqthd75j`eG@+p~#x;D5
zs;i}t_f*R6mGt}h{+#UA(87i5NA4(kRiEV`SbO@`<Lz+LhR7+y+YZ}-Wgoc_*xK4^
ze`>RBk&fPm-5fMw!UQlFi6Bd)_}?c_mbV9w4l2vk<5;>7p8izRxel$GUFX%O*Tk^R
z3+Z4&kIsb;kUi@p*G`d0z&Xt&s#Ce6&UB39b|ch7<I$Fp-1*2mqAM$?Tw*bzeTZz<
zRhAr|X~LvP+aWj;n!i%rwT@1(j8v;1RS<amZY1KUt2g3p4n1-&&zARuTc!1@)LmmG
z41_o^>4&w4YT*M!s3apH>5_VbdW4sgBILXT*ieMF0e%(mp$|IGaAs8jg6r+6qV1qT
z^kI{(VNjSJT<bZb>rAkkIPi#BK_fuNf2ug<CBGSfmdYnD+}Sa#<sb)NKYc!(Iy3y!
zu5)?bPA>)3v16>H+#KeQT(8z;tvzw)0iOcl3qig<VdjTHgVh^ddf`}I;*CI|-jT1u
z#tGNiTkonn`+J>Xd)l0kkPs0_&31Gwz<DE^-*|Rw8XAn~!X%xgEKGlr5fzUj`T<!R
z?tBx!%oljDa7A_Jv#_TyelL)Th)QVR#;pEx5zXiC*>Ao(72Qt?E2$U*+n)Vs_c~l;
zWM6O7=t24^hfD}V|Eb}7^N`nWVhl{v1qYoskI-2A<8lzurucJMRz@|OnVQDL$H)KD
z#!@i~%5GM0?*;O`=#b7IsIvr=3)l69F>v<B(Zq5yJ<RHO>b@~1CI;!+REnxC{q@Ly
zyS#l{9y55o=o-DU{wiltVthqPc7)5Wi#{JTy7q9`%Xag;;m9}1^W}$!cbXPF^iI8%
zV>@Y*IrQ8_&Px_5){=rRfVqt(hijs-HsWyD+{wu)ntc8;M6}WN0oRPi+1oGW5N6N6
zRN+rChE4&c9ye!>Z}H8W7FLCYg#pR+U#b?PH#{cVv%!1KtX`u5;24Z%bY`!|Be|d~
zM|I)I(WB$Y6?hOSOyC}jhTntLWjal|>8)p?*%DzUCD_3078jc{PHk{v8vFVAd2HQ!
z#@Z-L-9*GkL-x3p!x&@MuAvliHt;`2^vkfuvS(G!7=L49jZ=|z6i_$$ZPZTFH4!+T
zB$?;3?9g<%gkGdJ8k8mWSP9P_KCNpSZLFVSigO~75x9Zew8px@?ts==l?5I<jfr)A
zYxNaLBmVs0vElNHV14t|XWpB9_Y%z^Se*%Ev<9Zqe$$;v<7{nz+?Bl5S|-C=*`b@=
zC&mvZ9sdfNjH!EE-7_od&ivf0cPk<9Whzk(N(l_s(fFZ__^Zdxo!J+w65`gG8`R|K
z`Z9!~bN_py3HP<R3m&@@eObL>OZZ{p`{6^Cm8ykVz31+I^wz+9{r#rWcS)LhFwsXl
zRP9>9SfV|;OL9}^8>HTTRxZ^`;Pcr73Ag{lTmI8TGCCIfJue6M5%;X7#H+veGSE9D
zg6UoDo=q94J*&LY*J(V*NB!ZedD4EI$Az|;d$jt{u%xWBPf)#It*97FiaWp;x(KnI
zJ*tHh*?X3TQE_>-Y^+P4oN39VN160-?+`t42mPUz$#g7r-QHlHtLs<2(iOXJswuJT
zieFgSmjNrHZaT0LZFCg(p=d|MC%p?hoj5lMxo<vvW=%Av0<7SLQ=d*lSXfsFf$x{r
zP5;d0nioE_9WO`8p4;aUq1uarMuY(0NeT>cAh7T3ZPk&>e&^lv6rdq@mKodvyvlA2
zMC8#g_&x2b()AC|+1a7-NJWV=-0RS&RU0bE*~kkZqku==fuIRaE973Yn#Gr;!;RGL
zG4+ib0<^_&KDZ<`m!l}<)R%*>e~HGomBD%yleuUph@sv7_1EdN7WTid@bs+mT7>sw
zp7=kojL2F@a{r*$`bG~HJEk2lYJAOZOb}R&muAe`SKLXxxGec^V`iIk)@Px8djGr$
zEV>(KsD;mPcnioJpiISP#4H$$G%l$8yO*c~u8PRA_e*hWh-McbTn+d-Cu1Je2kEDg
zamys}-VdLe%7hEQ*M=&`+R?H5%>A`Iw9)P{d;ov$qg9<<2rkK)YH-LQ<)vpuICFQ$
zRA!$d45UzDg4Fs042sENsFhV5T}$W~+0eRg^DxjZ{M=s8E~nk1zxVkP@t^ykNN35b
z$PVvOlmo-<t^?FZOTr;-iS{}qow>RBz-KocOr#|fNaG6bl}Wa?uMmx^ZfKBWWMf2R
z!!h*PKzvaX3|3?=^nP%i_1Zx3aCeU)-z1W6y~u5S-JxiBMHHjK&)f)AZ3I=EadrtN
zl-FGPUu=+{vYNoD4+GaI?4yVFDsJL`@m5i_yvhU~LlEO`xAUc(ywZ*Z<_3C^1M;1c
z70Z`nIp+4BoS??o!Z0$|npryeh}CDyofg942EyU>%wUz3<d@e*yUVQ_dvYQOE=ylz
zKZqFO8Q3#>(0tF(HyI?<PBk2+iwjTOTXcfdcePIWjA?;@(2ow19E$-8TO;&aQvS>1
zQDpzhE$di+R=wT5I$0Rtswyk&Z~?x6E!^`_{8Q<r9MRd~49f>v$J|-(m=m@ReaWJS
zot>SA3a9#|Uw?}zgt|o8#yIM2d|xM4_7|dCq0g6Mr>yTve(Ph4+qZAu%2lf_qj_OS
z&C|!`;R_Kp{#1NQiuLzF<rWOo0yG`h?CbIO6H0Glhd}-<#eKJ;Q10xDjb$udqocPq
z+!_~Dd3j`HxZj#}JmEMrOuut7hy050nPQ#VoqK_W_u{mp^EZi6LuvQ+ElF}PgG#Ke
zLordr^BLP1PkM9l4vI?uQHeHA?h3RiMHGIcYLDzIjz#&kEZLMhh`W|k@>y&8Phx<R
zBLC>|<5T{l>tW$Jl9;%c$A=U|shq~o&9PG+vs9fQ?!PjPO^u7&Y6hVJwod5dmqf8n
z!#;WF$F0;x#;1;1#K8rqXH6pl5X{GSzKQ54rKI_Sa>3o*eU;^qAss!xo?bacD4}7t
ztNl^dy?}caoIbuiY2UZIPh5K2&GYVt>ij6Q`=fZ~xi-{I!FBH{=i8@O+ZyIme6lvx
zpfA4?QsTT<9A7+Qb?nTeD+9PqMTim*5U`X?2eV-v^-#ug2ObzDG(^2EN|DbJ6YIEs
z@xv2dSe?-+&MN-%29brK8iiFq)%-rVn6Zh8um}V!n8;3ENr;dngV<zQwT#8y1r8=s
zb1tG5$?!KJZ(FI`hl-o^#5_WKv;C=F1q{BYdEgnS8W`TQi1si+=+hjvPP5#s6cc0P
zYrh33echk%_)s8tiTHecGOG{2zUjhfdw&JMI9eOtJ(wLI(b6tou_FDn?a}$IAa#;%
z62A*+CLVToBZaJ7r4q@ISQ#%=?ljTjJUcHk_uW)ELs+Um0^}!+<dadCzK9*DtgRKX
zOm8WKX)hvHYh}2Ib*W=h5$hbW5l_|%VNCcAhV`h%IxOFLWBh~heBX$Dm<_4A%0(3N
z@FbzRre8#@Z@$i46cTu(cyVhUp}|>!%--@q!T4!hna4|n=584?w0y{6((C2>_*R49
zkt2DaXGN%Nn~9Ncp0DpnB?WVj)69i|Hh&pPbm;@}kN@qvNuKL^il5o&<ym~F@aG@z
LEcQI(;jj5G+}5#^

literal 24944
zcmdSBbzGL))-`-nCJKm!5()|`DUFm}AlQJklysM*2`Yk!2uPY32nbS=3WCy#(nyyy
zNY^_S>~qc&`@HY-)gRyf{m?D<bziZrwdNdij4{`(lS)Tct=P1JLZPfWcJ$zB3WeH}
zLZNC}wgkTs`&QqEzohIAsoI^fG_-TnwK1Ta(6zHNv$QiazPQD~z{b|t(n3T)N?<qN
zmP>YaR<?Tt1<n6?fPkfqkzfT&|5lu2xz$lMTMC6im;6w@l#e#1P;?rO9o%=;DXg!-
zS>x>JT)|LP{J@<je7CQ<Ji48B@1gqrOO<7X$4gEdzbh$JFu3r_`R$#Wj<*>Xk}o|s
zt}OXrpmirty(7y|?NxJW%bG1OJ&Px2ckh<EvSLN)n7bVNh)#z~scTv1$}btRoi3%j
zS#IiX;lzIyxw*gSyz$?c&(A44@QW71wUk2#4<4-dp^hTI4?RU$%f!TFEwaLM;rPQ;
zC-G@s$qveGe45Haw-=u>Nj&}k{g?Be-({7$pPDM^610`G<s?QSPe76TOdvZ83(J_m
zXiP_0WZ9qYiayPo-ba&y>2rm8HLrW8MvganG<J-p4`daoXuExO8OSuMa3B4t!py?r
z{Hty!KmTVl@z$OmmtSsSB}r9UMakxM)tN4iZ~q8#p5C0%tLf>T8eM0RUeYo8`{$d<
z-*4h}y`TR%)LO87*|L|z4jGx5WpCtM_SpYkYnaHw!NK7Y#K|de+{^P&o-V#{M?o<2
z!K%&T<xh_=P*YPowcO&NO#G=(W)ae%?B2b5VruI9d*d@N6hro_sfC>22rQuz4J}cO
zlnWO(uWjn=Jfg3^ZM@!=A$xw#<;JG0nPG*?W4*_$tc131-D=lgA2K=8sopc)a!0T_
z(a3M~-e`ASVM$4Qsr0}$Vc|9M^76GQmSy#6w&qifnJyCC0k<}2IbG?lh_1jjUESQ&
z(jEA(T)84MGnl*1q&C|_J|ZIG+4JY&Whv(l9(2LzzGIWJxjr{LEu#O0(IUN1yr;QI
z%C>`X?b?GTCcF0S+vhq`BB2;2>3{Vqb%e*<Wa5}}ne4cbQ7P-`)2E%f9(#Q$E^fn+
z>Q%fr5u=gz{X>;iX_!>KbphLZ<BFRYLgw}B^Ix0@RsCSMGv(K1US+w-ZIhFey^YzC
zLE7#to>5U-C`w_H`{J}RtJ7?Go*wbzmXnJ(bZ7l;o3^9F!^691(;a^~dj;?)3!D7d
zfd?}F@sdfR-il`B27$KcL0X?GDk?toFXeFc)ZIwGSv)2`s|<^Wo{4GcU=9t#MvvKm
zABjfFG(v_YkIw1NwifuQTuSeZaPjf<q_nnu4X8|J;yS$X?q-SPthuo|%T+nS5|$Aq
zE<pmCCKVAuK}NJomu|jw>sJ0PW*)OjvCxvrPMRh3@!i?=n1icwoaSf8-<ogVzWs1j
ztma)j%G0Q*93lE#jEN|PYumQGFC`^O-L2X4vvE`#wcRJ5pKwWc=<|t?bva-C!u#mC
zZpL_TNl|TWZH(ov_tVqU>X97M4nDbF3>BE2z8vzUW%Bc``E%>}FC4sdX$PjZm=^;_
zvfLhr-lHc^G8P31E^T@fm(^1JPS0nv#A-~2P&q~J3aK8g1pVcwPMxA>+w-Hgqpz>z
z0E6s7UEQs`=VRj4Jj$c?{dl8N_JV)s&RfC38#_uujm+zk%{Qy3Sjcv29AolN{I*qx
z$@<c&O`<RV=zDW`%=kw~T)u6YHF*=0Ak+Y_&#2e3z?ZG9v-3>0`|R<c&W;Z1c+)BY
zia_R{?<22W$|7V%Eq}2xFx1T(Y1@3=UfCXf$ImaW+{?>rY3|KcdL6|fl>yqguvcUx
zheV_6i1W|woYV+yElo;|6)FOPf_@mIHEY&<YMh^Qd?apu8^>*yuxJ}9;3zN?k9;Se
zSfe;QHEKTgI=ny5rCH!%Vg7O<*9j}kQ0Mi6TE*p$4}{2j$W>{%@IQY1cthHLChP6w
z^mf9+!jd*^%jW0Cv%9}N^-7Wz5g7>^Ft2^TQ`=)!Ohv=`Gs^*$$;&!YZM89Ki6XI%
zFLFO(b{O_lz6~xh49)ax_lm}ixRze{n6NbAfY<8cPzk@At2QS%4rpn)jsDz~sdBJQ
zQFQ6agJDXOEbsD-tKJFj+}W%>KUF2w=u*U=a`OE7{0BSF?BbI~G;wxzru^xv3u<c8
z`TqU8r1S8zlFQMS5<)`p-w%{lY1po+sj1=9NG*Rck5?av`Gv^fTza9X!F{@qPd(WO
z%lu4=h33@wfOh-%ZSS*($%5{->#4juIB0d)XX8h__v>HvTQbLgB`!BK`i_;*pVrBa
zYgK1Bi?~gXeXgquWs`P@zx0iBZnDh7rs9MI6GpvAFuPdOvEfi>X?WUbrTTIP2BV^f
z{H*fs^_OL{ec7ZFteW?qK69qKK1~D>Lc_7a-e;58?J8}LaDT2N3A(vUT3T8rx}N%}
zrrB(-h*sv2luRvb&BU2lq#gJoU5A&CH#kO~(W<|2kku!=Z2x+u-Sn-+L060sL!S4<
zA&R8V3>U5P@bKW`=FZ<J?GQ7XuoII#C3d{3DCdDo>s<*S+{LE3xw*quR`K7G&DHgK
ztKa2+ytdT5a=JIM%*UeP0}J`|=uz))&lNVbUSp7p7ZBv*6Sc@3J<r9*S4=TW4h#s;
zd-m+vM&!+#etv%BEUn>=zut9c&j<@)-OZ?F%i|r~rP|o&F+ZzT#mw|-MZ-$fgBrDc
zDUGGC&%Hssiq2F>+d`s|{LJ9B3cmvfS+8{<BP$dY79vf5`emSTFD8aBYocYPMfR-2
zLfY7Gi+8l$yx~LO=Q|rl5E}dn*j<W$wTA^27b~8R)%Y4}nRP2AMFJ_oFH>O+(}u^$
z=>pwY2oiBwQ@ak_q}QF97#b7k%!pBaclE)8wVT9D@(}-T-M*dRc#N}!Gwe6xpbv|P
z_nkYrWo3SOc?T<FHPxSw^Q*>F0>0*rR%u&SSZrLv%%ikz&z?;f<NNpTBYqs=KP$kw
zp{_z%z69^k2`^~*iWLctQk@2EU;H=T{D}3K+WjK5SJT%!l`(p`XM2!Zu&D7Gtc7Qo
zN85OK)Gh1mxYHd6I=&s@c<wUZzwY6QQ1QDeTFy7r5)I!OmTaP?p*g0c6l+x?NT7;J
zi>MJ54>$MsG+QGrmp-u^8|mokYE^dE!F~C6H>-5J6c!eCeS5mpvEF)Vqx&>JmI|L%
z#>V*G**mvxHTxf7Z^m`#_{JIT`uON0<IuARw>|Mu04Qp^XnR}M6G7RmI{wPDXWL9e
z5p|9oI~H>x>9^0o^mOCA5<*AXNU1b0Ur}-KHfia)7iHz;C)Y4Dm(@lSu$5?gJ7Di>
z4mm|NH5Pw=fAK#2Q8{fg_tUY_tw7x}^D`nBuVzGexOrb|oZCae={GGc7jNIW^ER%;
zP~?ao`*Tb`qYRFhIF;o3Tp>w^-i^Qk;^V&^c$AnZZ+bA?^;p5h5whur<K_b&KFmiZ
zGL4bPu)K@JXnu>=J>U|gy8#DtadHm+`Gestcp=Nf6aBr2v$r<sPD8q*ZG(N4T3xZB
z2t`Xv3#&!2a=g8*jggJbyuxVz{{7GGeK_PJe*8Gw(=#*UN~TDb+w`*K%cTZ}ZV{Au
z=H$t}W@ctd{a^b`!Z;~Y6BFf_1K%qu-Uiw14lQ{W9W8SCPuGf`6qBE~Iou~czUX@u
z9YONU%t++?HgWOwmX?-Jo;*3KtemnW3t6EuMlIKEyg|j7Eh{Svi0AwzhULo_Fsrq2
zzl>YaPU<atfhV{Q`$V0IR<i5<euKoWvu6(;KfZ#3d>6g%+7iH$=FZLnBz2RKx%hY?
zO6b^bz5Kyqk+Sj(XWN$6)(|0GY7FGM*bNI1`FI#NWi`7@Frx5o>z0EFiHXOK9@Xjo
z{=70ka;(2Wz3*0-UV-oPmoL3fJw5Cn6jTtXqV@IrbA_RikvDg@k{2yW8=bZ~ifh-7
z9a}_2A7G%^sMiBzubG;0cp?j+Z8L<K|LRQi4qo0w$DN!%JG#4X1qB7Emkmj8Ac*_j
zsne(TpFh98z>gyZpLg<a+2YyNb;;G$wO8}@fzt%C^CD9j8gc`5<>loywYEOZ+|hED
zJ~!&wv+KBT|B#SlBON6TV;9Se7O?wy%-c$rw@YbhtJ7KiM_L93{16LV#(Ez=dv=h=
z@%(;&)q@9jm9sNjJ4~_3NxL~>!vCX4xK{M#OOC!Up44dI^e!=*wl5|P2b;U2BjsAn
zRoYullG_Qg?keBfpFSXmDRDh6P7ojglPl4t{kThz!@dvpJ%{l)NSR`logw?H`y0}C
zhbWr;%1Fyk9#!#^o7&Oc-JMjK9TuuYjma9c`%?Lq<HwH&OFIgjcqF=&hsW#BA3I-G
zsfz>O1-$+I7;yG6fv5SjbaYH>*Xj=l*FPE~^@_rmqN3J1%k1{F&WNXu1HVKq>VpL|
zKM1+cIL!^r&&7S0RmXA<R^&#ujxm>?o8Tge9B>$Di~u8tzFGrK0@si)HUkpg^7S?R
z)Adb!7HdKi(8llHJ;vA%zjq~@)m+rfGALSqdA$F`Ux2!|+JCgCiYDHuj6F8Jf6u4f
z+~xH2&k(Bk)DmdpWob1|p7hMlmM37XWI}$jjrr=eYj3M8>r*T_QtEA1>gwwLcy-3>
z3eD04#5fZVZAAK1gpyl+eg%z<kq`ORhs!+XMtpj*hw?Y$jq8Yqn%6E}&H9DSv7YK|
z{j{q4vdJ48w6^To^9X}I42XL2!UYpe9$wx%R5VMP1_qQ}U1df(%XkC?e6d1QToe~4
z;_92aR!@G&InoY|kHrkzFDn|~#jlkSj6}_<t=(v1IgoRO219U7EA#SDi9{nKl6YYt
zuM{u_MZ~Cdo0wQ2rt$Y|50BxI5%bl8fLtY&R_ixyD(s2NR*IB!n?PQ`5vzgDo)T0O
zCdI6*tSoN%%Lmhs!XPt9!Ni;y@R;Wk61o@ZKK1H*raoSXhD%>kain}C>Ie0@&XUjq
zoJM)?Udr?5&oQkkl1x>yX2;YsGBTVxLX5hq;y8dY-&TJ1N1Q~#r2p;7p&xJ6g9fta
zBd|o7*w{+=Q|eFa&LRbd0Mg%UFA4&D;Gp=j%NAnczP*wx3>d(J!NVtsww+2#7}yo}
z@25swmLO52bFevAUthneukQqcO<G#oId-pVvJCwb_nf+LxaZb<Qc<$Ul#4Kx+_~wO
zs4gy&S_N^d_>tJ1B7t;*%!N@0)#ApV%NZ62?*r;yxt=e6Ng^P)YLNU$v53s@7cNpw
zRVJ5)OVbQCI5xg>=(}KJYx}l&1aDSnsO7WkpKnJ9Aj)(ZAFkH(`}X=AFXfShrA437
zz^_dDO`_f?KdH-~9SabtlrpOpBG3R>UkT$zM@Q#6^m&8p@K+uRfFEOGO)<v8cvbm8
z#>i^SJv>}_ilsKieWKZG#nuWT`p~LhzkVr3$ka^jLD_Wf&H15bFOKt@D7m@0-HqAu
zm`N#1a<Fg_?3Q5_xaIG@;pH__YZ}+w-F@uM`L`QUqhd{yF_@VdDRZ42t%^}k@l^`n
zLp9hDYFX<#|Ln5eGQ=E>{HT4`B%KDgM7oW!Ab)akaa|)LhFbA#_iU(y<qNEb%0b5u
z_4OJE%9mD&c_d-wtysD8m3m67y`?_tm5`8-$^&0sy?RxTb-Hc)_TBcs&xRf-VvzmA
zSSB+<5A;nJz<uH(u(nam$RpF(k3gqoa?|vle)4m{Skpi%F-g7kX#v2?rfl}Ve>5X+
zir1OdBy7hGBs-r?4zkGiVX?y+zdZUIAt!IMWyZ%}nJ#6jjq$p<6BDg|I|T%m@VW4K
z(X-f8nvNtHS1iFa@99C%?qScuqNfuS6ckAB748{E!N|nU?w&u_*83iC{$OcgV_iVx
zT!dMQxk?bq5mJniA7*aFCPb2p-=7_Go$gEV>|>9u=nTHnzIu&OOgmo@1tWm?lpLb0
zD!|7_A7AX24jep*a()6yI|L94^Q-CRW(#r>PARDn!K{g^21O73feP*jW_<y2RedZE
z&cWhCH#Z?a?rl8~jMC=XQilAZqM{25sKY`eEVXWoSCX1861QE$Cphr5{wm!{C(J`<
zOsDSJB;Jo7Kg!I{jG(CL@M*l$6Pvy|S7-uv(FF`o@ReZp%rHyU(p}dr0=}NrWq<sG
zl_WSRUi_;)H{SQ9eNQFuSM?^>goK2y^2aoLZzzPnH?8tbv+X>6;lhQj_Yj+zH*7d^
z`SRuGUc!PHLgeG2;bBezfqtLS_m{q1#R?is$)3IY_<+|i*bA%NRT31&&6|r*oGkoI
z47G;Hx;Q+iV&rqFiOrfaai1AFk~P_}Il{SvCG^620ga=WcgulcI>)=rfRvA=STv;0
z&rQEIj~+M_<3mcxUrt;|r+TPc-ka5YHyqHkPco~y55)1#xPlv1^RgT)+R54R#<Fx}
z$LIq&AllX-Uwt~KqWO7xAiJ#ct@_vEViK1W0bUX1k$}tEgS1N#^lP%*q)|XO0SF~@
z>mk^#UAtBY!J;xwyA0Kc(?I6<1P-MXv1e@1cJ(L7my}l4t%p$<o}*y$cHupsNRmY@
zr8nN+;0pFYX0k0HMmswKa9rr}pG!!1V0jpLRburUKG<uZbfy5x-z4R#zM)|P&h=1G
z+d}hv2)pcM#&zpHV^$;2^6cLI?E}!RF0g=*RnuM)bA?4jzJB@A^w^92;{4p~&#5fL
z@-Sq+5fl<ZsC5IEGjqoSr`l#&;)^8cWXz7$5eDT#-3$W51^)*R@?M^LstW!nRNVaH
zkC&$=rl(aVw{3m5z)%Wo-Lb<P#f6spqydoPN1(RC>&ux_r~A{L`;w|CMcXwHL=Itg
zvWOV^lxT@~l6;5MbW&CIDENWy>UUg;MrFzUt5|nmq(zkPM2)-wg?KZ9lL5ZwX`tMF
zf4c&y0e0@(NhZ+N12;+9=H%iU`tt`>2^T$wTo`7R70T*zq_&>r>kSMHWWf87f&0@_
z<wvGmoX2dBPpepnBFK;j{OZYPm#I=wQIS;k6gj8fsr4>7y56}nJWR$pq1J_V02Q)D
z#?WDsTP|MYJmSmxu4c0nw~D6yIudfgS~XXyTfVIn=N$o%TEoI}%#U3*wfW{|^6bl3
zug)(k8@M{{aD=-xE_(WC;JUSI88>Y@?(RNEH*j$SlQk`ma>O<fk${N_C%5?92kJn{
zy?ghL1m3`iVB6$I12=cm)r9kvyfQ4C2x4YCu)#aMf;CuNxKOX=qcaP@lF3Wu!i7R+
zWtoqb*|R8vg)m|Ceq}fZY9$;gJ+VL!vufGc2!H)Lmd5JO`~BFK|Et9DmqQnYLsT=I
z-f1Q`yipNEWYr5Yztg&a>Vt$p&&6iXO|9qyF$<`MWGZm^1gGzDa^+_a10Ou7PN!ws
zOz7&C^|x=|M(xr3)K4zKSUbaMHwZ~q@LVWk^l*iE9V*;ADOL%Qx{mjJb%qi6s6PXZ
zk)S;Ay3;T-rCcZC?VZ6AZj`+&s+aGx73Fou>h)@BYB-JqW$YtS<I|5L3OGE-lwf3J
z+>2BajDi7Bq_SOEepVEbBV+uROWx<tOu#(|qo~V*OH@IqDIqs~`}QpZ@lb47c5M}@
zxH*lCHl94KAL*t0qgn{1D~quHG9+Q&6VuWI8M!AU8V-VaNa}l6z}|{tR2N9puCF!_
zan+aWh%e<Hstv@HLtd-dRI}Y>6@mn|101Vcq<wzTh=_?=CKvE5M9lPIlG~^2%LyjH
z)D!|3xJl3QX{@jAZPB%B*Fr>$R?E-+VV<Aqlt*Y3M~qH5(Fg|dA^{n5lbz&;umC`A
zwLh{ieqJFr`{xWW=;6bMm!LAw7_@wnN>4b8gQc;5Bxktt<?7s9woK5TcOC`75r)wX
zO-@J<?ioq%|8NJvz&|kXke!_<fD_R0^|<W0+74MTvW8#`DS(6l&lQ4(G52>n^s17Y
zeUDvNj{MvZL(deZpg3mn%v4VtRw}h83S<$i<rQMT05nOqrznO9-vEDcn-E!8k=hiQ
z(I00j?OR(~NS0E=96+s>lpI=O2y#$w)!URtcWD3<8PGXv*RLm69h#dSAZRdW&Ed`B
zW~%K2PgCVcj<RL}&LZCuH#e<}X-=-QpozkO6Z#oLEo@OQ`O9P8ZIgtBB9@QYF9J$?
zY?0<c=j%5pqyVHKrfO}ybk(3t!<hmeN$<H>#4pFmo{~@rb!|b7)O#e9Yo<G#QdRwe
zk;Y7Z=d7%u5mv%pG%Td9b>P^s<)DZw+YuceBXb8<a`hi0tDv-0IwygrRI4ubW=_uD
zM`EUi70Dj+?x9uS%QlD@7VFffT4$hk012fd9P&Ej?x#=tNlg;r(x0}X=*iQk<|eOV
z0qJ&QT5u~zC}J_AGUHQ?kNU(ahx$9TiaTI=VvR;$->qqz*HWH1<rV<}!UBWJ0Po+&
zQZ+lCJ%1uvDSX+=l>qMLdvwR_Fg^41g==J{MtfB1av7Pd1-Jv+g<@pce=ajTXJ2QY
z@(wXp%ej4>`&2g%IK)%B;XmJ~s7FTbvA+$>ZuND05XGv-AZV!7PoBi2M8gs@_H)bK
zqQ^DoK4c6KEDr)_q%A=C`>QiNfW4&v)vv{}paHaiiN-L*m}k$=Nh5ZcCQUI_b%?r9
zHXyeHu;WymyLbDe?g<DBE5>Z!kA%+~qaCfp7U4R4>_U>s4HT7;9&=L22tVSq8#~Nm
z+-Ik16qk*Sj%My?MM*lnjDevuf3sy97UomS#;m~7yP>=Fmf%%(-d7N4Mt<&qRMhD!
z-A`${vXotCtha{b1;p3WxQau6{a1pUAbB9g$n=bD0P&9DOC2uc1;}DIt%_}boAQgA
zZ)6GbcM%RH@JZWshz_LYv84PBfSjNZzv}tP9!5xerJXHD^bU4*rKGYWCLt9w;u(Lw
zD-f`acV7O%-V|u<5MV!+kHhnxaY#v<EmE&22&7%dXblhMGE~HBN@q>?ONWk<G8YV=
z912#!d@D$QzWo^^N+`Z#9{0z+Pzo;uLNRX4l5KPwXCn|DV?jav8IQ`IFlluuf=DF>
z#lgF;-?(vZr~ZiunGm{_>&tQeUvA@?auZE77g8)%<;>4E&JPik_U-ABfP43HFj!?s
z>#t?AIwL(Izy}cCi9iEzDbD#)w^||;Z=Sl=SzQHqvj*Z9VSUYFhvhEjEki~iDp=W+
zJCG)7iHYp_X?a4<|5VXlrMj9*5Of}JEgmTC_v<&LKzxbnF!1+3*_fFX%yx$khJE`Q
zzynaWO-_y-Q`;rzjOj0z0ol2+lx*w4rhVXAV){Tk64eM*y#Kv>I@#3iSHt@p)gl{}
zY?e)+BzzDU$i%{8TmcR7>w=&%-rm_+5w(v7oE?D@KpsJ2GgsON2kuJzI*I}uYX>4;
zM3l$;99YBG-!&&bfBw97!v=M2yx|`?U4&$ma-Wez_E8Mq6NvR%z&&#-l{tEuXD6?u
zWH6@N8Ni&&m-nF95jFmP9c4Kc!HPW}@D`pUmWZ0yKJf9O?@0<!3R>j<1kX=$a-Pn`
zi_cFilT$#f+9>ayky*s_ZgX@n4Or?c(a}6oQc~i5_~YQAL*YYi?Ck8Krj<U|uhX(S
zw=t0d0nC1Bsyi|t@PiIeaG(H(yt@npo5}+4f2EdtIXN$GAjuF}5geb&WwvZct@OF&
z&Dz$^pc~y>UAq9x5O^!aL0kdM-&ko9aks`SS?c<<%Jld^Ct#O&mGz!*a7U>B#ThWq
zn2cIQy*$sHIl}@Z7rw{-38F8NH=jJ=gsw%|DCa5(DJj0cSwTVJDX=(sb`Yiy`P4oU
zp*C~BE2Jq1d?d}_!QMeg%J*ecAb~}I83ZV2i^;!b`j`)Z=`*#Rayxa333F8*w@7#x
z;8&6^M4Se7C^E9LH6QGGZ97Z1Lsx>}H8s{(1PR8De=n1@i;~rqW&VlZ2L@}TJ{#z;
z1}brFU{W~)kp|iCIKs~x*JFH4N9@|ZFrmaZMqzM+*QINu?iL}kj`od!o8{y4LCs6S
z<bQ1+slntTLVpc1V?b!Af~sn@)If1dERpi_4p07ES9l=GTLcB6bWh;^`f#G`R||zG
z9z1dcGMd|Q1%*CM-=j&+E-t2JjZ#F}Kl&UuKe}~S%agE{JwQ^JAh!RX`U1-R!-~CT
zXaWU`<aN{pa6OwVYbk7>zq&ekFczmR86K|_C~CAc_VBp3pFmU%A-cUsPH8MV<kd9Z
zAY_yixmCy`yM1&ZoxkYL%09K{I3$&VLzrqQhux`~tslmZmx|q+Y=~?YlqpS+d4I*N
zhqxM|qbXfS_iw(iKSFy)Ti=y5k5wM4`ZOQ^<J-)&i~=l|>Kt-6ukav4pod#JG3P!p
zDN>iLeE6KqZo+}K$?T-;xj)P-r_`pVC6W2NOzKK><VG@NHdHwN(A*Vy<%z*KJ>!v;
zNwT~3OFc!jd61(IKD&)iZ&)(YRwiE0jD5;)Zt&bAV&fWiBenj``enP|!N{X?s!69z
zUen%DKlZMDk4O4<a?r!L$E$SP)+kKieA;($nU*y;(Jk$l?aj^R&gKHMwjr_eJovrX
zK`&1>|4t67_?SPvJs{t`!<J%5o-H^vl8#c9Go5oF1k1r^H+N9>a4K^Ysq|4{RQxYQ
zQM$Zk<|QSLEP#2FE7Vb3-yzI0F}*sp!qfLC><9SLdZ}}iFl0DuYwL;0N&n#BFCeeV
zQu`q+Spwl4R8`#ww7qTHwn0SAni##mQGU!BTI&}$o`WX-6|^}wR&Kce=usi)sp?c~
zuD-eyM4gcO`ugKlaUcjuK0|p(NE+m@d-v~u@|d62?%4wX+=`r_3n2g;0|7ku0|KO+
zhuc1HI^X_}vwwv){_D`$Ll-Y{hD$qkz&1dWV<yfF5&$&EmsIQ4*FOpjf;96zsc3?Q
z4OZOLWn^Z~<?@sHgvw#XUUzpn2r<PWB3`Hj!xFP0JM2Gj;A>eK&$exCGfT%+yxecF
zgntyI&+mJc=1vA@OfEaz`%Ett-_D)7U^YQHsnyBI$Q(U>{Nm5o=Q>@pbvGgkj(|la
z-VF+=nM+HPyG0-dAa{z4scC2^?%Q{z<mve?DD~dnKR6NLQ82uSiShaJ<!I;_{s7HU
zHjxGG;Of<@gF{2QIi6G*Q@`J6Kn$i-j-QJzd;eY(xB1quy1IHLOJzu4B<&MIJaC>~
z3E?Fo4qO&W^I}xTPGdDj$4;Es&c)T5F}?Xe#BGz<>I&yD2VTie$^C-(rcz$fFS@gM
zKw8KOZEbDU?>iy=tXpTFKkn@0R34)yLV<Q(4ZgzI*!a)ypG8wyVPUKUP);cxJ^J#!
zJRAqW6M|Nv=T5o{>d*@X%{m`ln1V|rKeO*eQYHq2%a=bSm6(YKL_{dT-SDQ~ug2^}
zYU)N$6s}Ny%%=Eu?9c(6`}sTZyeiF>J@kBJvX>e=@IQa?LKyj<%s%)ig5})y96EFe
zlZ8SQ`c0yj_FlNKNhc((ioip0^W)amyA>YtHG>8sz5ohpNmQD-B4siMK;?i}H$s7g
zw_$|}xz03rJ$p1=PQvNIu@r57T(HIF-=>BI5$KLrL8P?ko!hqwQB;Fk8>;YoXj;e>
zk&uhktB4|v+aq*sMutpm#_;in0-CTJG#=uJTve7$ivokme^Z-i6_wq=q|0oNzc%Xx
zH~VXEnJ6A%B~$FO9ot@>5Sp%sO7hH$Lx?!^dN?=7VEfqH16bA?zSL1qcQJT&ocRy`
z{%ak>li*8iL^#hwEdE^!@{|9CCzP(2e=V6?`11c72a~X}c=k;%aCVtYKJAiP8X}{K
zDNvQ4Qe&W6BprV6AvQf<oSzB^Xo0J#?s$72<v&HSJG+OLyyB#TIGz|+upHLlV1rD?
z_lpOWoW?=y9>r8Y7NeBz|C6Wd*{VZ|JEm7^I7{JWkTxV*n>_r_<MCRCV!}W&(GQY|
z+7}9U&ZGnX`40c)ajaicB=z#?VN)0!8R0_Bkz`sGVck%ZXhifSA__4u@a)|A>eJMJ
zE|*?z`s)?7h*DWKf4cDuQ{DLcHgSvkqtj!3khi%dBvQVQiU<pD++()`T7?nfOkRHe
zcaZk0StWH6wcwZeQdpQE2gH5t&h9YV3VVP9yne|O6xZ(OL4-qsR{a=sE72t2Qu+m@
z_;^($st<y1Kw^;T3(pMm0zUgtav6dvP?H)*b93_sJ;}}&(pNAZNBOO9Q&dl%{seCd
z!d*f#0>eGPcGwmWV`0mJC+;~2I&nhZpp+uYl?`eKYw&6!W2gQR_wvIR-~b18=|AuQ
z6@nJKoNF*>128k@wa@_&Gh<J4fTNcrD)-g|?QHi9JO+uZ^|od2Kuf@&q71D3+zk>h
z$QKhg3`xX%)Gk|Lj$a(Kwy{@QkMNtfyHG~P)oU9$o-vYnxq$>Z4SL{3gO69~h^o`s
zX=KhJtnWSQ40g!4DwYj+AHnjPoZHmdE+d#C@HQ?iAat{3d;-^>92lIom}p~HP*>~b
zXtwlxp6M!^UH+&p7Q>UeF1q^fF!gArV8$Rdxn@m*0qE`im>zM!cZeq_4b{4B5I7;O
zo3V@SdQasuL;a~Ws>v_lT;cIKdJmwR_Q$JC9MVZtI{z<CJ(O9pP`L}#Zx2hOgn6wf
ze1M;zWp)2}RUws<2tEM(^L{%!ySqQ!wDxbFV;Y{TPP`;At1w}DDZ3U^K5x6^Aqwr$
z6DJH%s}_e#2O%Td;!U0Umv~N|y>c|trC*9$F*pap>In@ER#=Dhjf_x+EZYls?I%07
z@r_EHA<9;w?SmvnA%57#CP6d*(z;qk3#Z)VzMB$j=LiltELp;ugWzZjshC?S?5Kl-
zIHnz+=7%4bFMffVGBh|LQU>8H03{zOIzrvKPdv(lbL1{66qIlV{q<>W?d?p=%m*5?
z+(MAZF-14no2_db@KPQ~G@sUgupk2;y(<L&YjyfEqjPX0KxsprA|}Bx_=j0;rYGmt
z)28;N(MrFC5NVFCdKp+|$wSJFhW&F?b<A=WA*RL>#f+6-zRMYT8px6$J@O1F()HSw
z_+ODOQ!O739Hl7=$x%5G|9)v@VhllIHW6WltE1EhSKg?TOV;R&n>j6b;&N`s_}1yA
z8`JXE%-O9X0Vj=8OVf2}X1{sdNY(q4_8!Y3{=Nm=xd4SVU6qTfdO4y7@41=cV5T5|
zw63ea_nlQQ8Yx~k_7-dTpvG0|D3MFU1-ea|MSbdCWV+GP?KQHRlG&@7d<q8$+#?74
zSSRE5xQW90OLxG8yyve-95j|5m+F5GyH-goo+>PYIx6v!O|340ef}$PF}}i1s{Xmv
zg~$8U5tzLt#c*b(n)TG2QO_91;u0Oj$n?uwO9{W>wN!Mn^-1{$Rv#Rv0T^!d#F^9(
zr)lu%u}PU6n$1lIBQzDrV{|^JbSduNyuYDCCs=npWi0kE?kMa5E^hp~?h|p0+&~5p
zf3$RAWdgL;<Y_MFR+gOFJd;)M>nASY&5Y<T?!L7=KCwM*j2bHc7w3}{yTgBdWiM4Z
zOJEsIu?AI#@N^~af>Y@TekInmENiP(i{qEti+>FQ(jb?zpm&djbL`^Xo><{odVGWg
z$pwi2X4u(tx^nMV>%Y$O{5(w)Y`+S?zc<D(A;D%e)YiZ6c~iG`zuw~*+A&wl#WUaf
zVM0+nc5JJ>eD?ln@I6P59eY)BB3&+E`J+DxGF37Q$>!#TRh~C>!N%=+KLCend3ia`
z<x;-zp%jBw(l=u;x+vKIQl|cNUkj>=4Bg4g%LO_gJk-zp7Yz!of;qHl@}J(ZF7thF
zyN|pKdXw!GEsxnz3VakHZEgC%i7`c>Env{nL&cl)&Uk!{>V_wEYO!<^>Py~pm<`+}
z(_#6K<CHMSgA_a&%uTeA`D?3vJloBhV)!3AdlF)u^E6%3o~47Y-^8}S@K{*|dWtYS
z8L%ECrKyeEV8Z3bTQ0z)wI*VeUzdB{@@ZR0?b|9X9SUO<d|^ca%5q<!2#w=0r@b>-
zGiIWMHm{yFTO6|G7_xd8Lp49xQ8nc<$Ug&lK}0L!c_g}TdN#Bj#tj>YixUiJjAr_n
zPY>w6Q1C>|AibQNQpH>&N`>f26alXc>;(vpvG+BpGEn*DUY;7-o>sa9mK*<FFMm>0
z;e-gEABTlt#AANkgF+HrOiYZ)XwstHkcg%K@|&T+R_~rd_9FZpu>+X=+;ve;uNzDk
z{1)-C;GabajR}hFGh*E`dirgsV?Z-Rbb9wan~B}>ft>({vsb<fnOL@{q9h?SGSE9Q
zWP<Um$Z~TzAE#9Usy`3*hBrS|z^5!oTSB2F$X~-v*BC%9r`l#^qZ)wUk}%>o8901(
zHv+8=e&O;P1Q$kqFEUaY25;MrV%;zIws!U=Mn!qTYz7+!V(P15RTGUd2BDtggR8F>
zI9?0#n>E2|w6<D3GHHG!>BG`NIAmHeAkivuTI4yQ4A2bL7)7cvtWr4y-Wf#rmYqAl
z)^;>E?>l{Z4GOc@r#aw8ihlq80q{5FUPy>>c#x{Ve=TToxBjrCxiT8{e%V;$WPB>d
zVcC!G20Der%?=+0afjjMCAmTMqot)in-)oadH(!i{bzkQe39}eCp%w<PYgm(XJ%&B
zTjh#mQz<uBYc!dV4H`plxb5q?*y$%jgYot2`@Iffx>~E$rgM@<)4@|Q=2TP!AjuBF
zJVAblCkasOC4hsuWv$8YAFn`id!o{$#bO=lC+Q7VV|5NdtT!Kb3Eu0VLU=j4?xzWb
zZ`ZCCaJj@z14Wb+aThOMBz_#Qb54QN2wdb+D1Ji6NCoudN$J!t;*ST7pI}xaj8fUi
zT+l<?e(KNY=yv$EJDP<G<CZ#EF^5ewWF?WXcHqrVN-)ad+v|8I;Ose|rNs_!lIv7=
zG!b5ousc61oSpcWd(PZ2F$5l{4-S2o^T&Zt?(RJEBHph1G!YvT`M^=We7Pf3Zsm#<
zs-U;jrtMU>?q>Y9hF(N}u52-k(!BX8<q6C6ZVtCUOqrKQ6OuJ;OT-|(+Ct?N!Zg}7
z9*EoVX5#Al@roHMQx}0~?YedT_wQ5Zfa^3akD@}==h;sC0G@SWk2zP2Y|O|MqRz4v
zD?aH9?=~#nNECH2^GcvPVPDt+lkH_eJ#-96u+DuJW{4l%>!Lz<x7Du^T!9sN!}O_6
z0=Sy6Q7_pj<0OO_c(En#7T^V;h>0<0cAz1B1B0Ku<E6jD1*>u(s_fjgi-^bo2G;F?
zDhaRvu6)FENd+1Bk=kOCFgo|9imJCFngQUq9n&J|=4&F0qm(569|-4~>Y-UXSo`<v
z|6I_NCMgto)l2+9xRZ;@Hbhw~*8Y*Y)h6}~O>pLS!)XMq;=LA)6|{EP5%IDUNF*O#
zb@QgC&cOJ?%)bKYEd+c*j6-lnR4cojnFV`-Fa(#G*;!NDivBmomI{>mB-T9*e`RSZ
z%sNE{1ukLX`$#)=FJ@r|?m+aFnVV=$N^>6n@l1lxqtb>uK8;>Rrccu!Q%ExSLMDAN
zF<N1L?s}gBVG5SmpB*n6R1}vEuDTK6Y-N?0`G(}-rDxwz2_ZUnb#<-i!(!y(<$WVA
z(U&EYxg{&TebTbAIt9^^$@*y0CW@Y(o?4oX!Huy%UKI#FXF@|AEZZIFY65kugh>L~
z{qr|#4(<{9M?Oquh0r7E_JWc|_<dU$zW3Rq!hw|;maEooxN3RNt%qFQ>+~C{L854a
z<gJJ2`N4w+6rk<`C_SZcXOQuDtHiv_l-Airw`{!pNn9rH8gkR8-)y)lpaOLa;b~}m
zJlc7r17lt}#x1zQE9+jH5yQv)G^@$ka>0^?IW9@>H8+!W6z@tW4HD!Y$9~t{;@jIF
zjV06OXnx=i!;n?K{u!`0&$q>enp^Tc+X}mUvKD8KQI(&g`*9_hwrHeLxL1vEX_6c1
z_NttB7az1-Bp^J1LJZogXlD3nOy)H>$XKme;Tg*(&XhqDCA8GWBViFCZCOjv3<(kx
z?KgCeO}s+D1p^LKTErQG_)rr7se!lo?7Kyr=LP8X`*+ICsH2khpKL4%9J6-8H%j%d
za%b|Di7}As6nKYWaVkdxEiFYs!(ef<^+@01odSV5GOk%QDnLd5MdPp8RJxYZaA>k7
zXW?5dWBAwS?h%T;x+Kn@f<j%OC6>Zq`K4~<5syV^ck##y&;Cz5<+z3N8p0x3C{dM%
zi}o2zzFvS!7AMF*(+Y>hM$~sm8#G=ZGr<DqJ*G%Kabusg9BaM)Vscl)FK>DA<c-J6
zG>+a~e9Cm(w#13W%R7RUwLmaT^<Z1ek+^^&E^ffZUnt33FSs(fws)>{F=DappnQ1B
zz4+dwZ6Ez@VNH5S;P7PvR`{xa5fN)$r87b(%%$Rf;Oc+2EMxUvi0Y|gVA#;wLmZ38
z0=VD7@q+#)Wk{b8r2}I<W+tp5^nZfb1vPAsUN%JLt-QQNQxpBt5>neXHPR@uTTQ5Z
zk=I#x$Tm*f+mwm#3WC<~v!h(u57rW*`+68ah}$JF7Gk^+=^26Qel;#`fMt3Vj-_3@
z3W;Ct<=d^2>*uY!yLFsnGYQ(VC}^h9`P-!XAu7wUw|bwVB0X%dy71HVHl&a5FS2J}
ze6Pu@a(`1Z%MG|Ac@m8udWiw3FF1U@leQl=>5=EBAWiMuu_NADlD|hLhh8YO?*eJ`
z)6iJWK`~W;qbF^$Bb3y@U%!4OT0OWcIhYbfvUvFU?*d=+aEXhLah})6-Q++uuvgN3
zqfK&6`X<b(G;iDt(0vp9e@aTeCtQ@2O4XDHU&g|4ec}D3kMKv8rIOVSUNuDy3tC05
zF1stkbxZ$>BHI!g5YyJYxQG8H6zzei_4ZvKwE6_-H{cq}QhooS5k<dPoSR=4Xv_bB
z4V>yB^ARFH_l(diT^;W{Vu<W@sWOIzLM+HtnvQH}$?0hNcunz<=yLe?ZmwoCiQHFv
z082LWP1K)lPSZ6h?BrQ@pbY<ehxmeSv_KAuFtE!UMMjH>({^g6)4~sFzk`8-0xii1
zRyS7k$H7jxkhLz4nxH|@@l=7K%IJlCR-&v$3D<Lm_mZkephSP;P2B;`uygzNQ9-8%
zVv!zbZc^^Q!OxMijv@D_N6JFzNh;kgmo0cNw~Xq+g}=rHl~99Nx54D2%yqX{*Ci22
zBux^_Q`2hO4@*7gIrW<hRhs{u15_uK(s{jC)1dTArJ>s^WzMd%q$_L-z7P~m*-@Ul
z*=cI;M|Vk^4r!vEc$>oWJ-FPn`e2c5_$rWhEyHUmpZ6~Wx%!*bQK}D6k<G0CM=kkd
z7v0`>-WCjV%_nW>SDVEz-0tZ+_{yi;k+M7cO&0*O!Wqf~d9iN`C6QwkWrxQuc_#h&
z%aS3M3&G}D<qk?=<fl#h!e8h-_}D+tt9chULYTsL=dw1OT)4IdSiI`*3uhp=o!pXs
z?Q4aNLTZNFV&O@oj_To+H<qyRmnCgLWX;>YlXCpf;$r%~mhzml$GrKxXN}q774yl5
ztE8_e3$e;m*Qoa`UJ-=gt1lIsTVmh;Ron%^U>{hqcvV=~0(m2sraFo}h*+$UPCvzY
zZJ0{7KBIcDE;nM}ud{5yS;D?POTUVTNZo-E7a_|r{UPi}ggHG~%9j=0Zd%H4GT8L5
zo5ACU(EYsjGWlU=_S?VC4aKUxSCr(4ymowE6YehikIL*c7x`?HJ)N?)qyyvXd6R{}
z^=t__%z64iYwW|$54_}EDx9P|u>I@ypHOymo|j{=8h1Q--elprZC9mE{H+cITJ8&+
zyQCWk*w1b1&&vLaw}+B%crM$q^ZIPh;_K1a^6#T=pmx{<!U0jSftuH>TX&Aj?SmKt
z0|<^oj~DV@Ubobt|1Ehr0FwlCcNz39eXOcVIXq?OviL5A5sMx^cmNmU65{POhoDUg
zL{xHK-4*TN3uNM{l-g<*SA-D44#R(L$^in^{vmhguTYtKxBTYG6se7d)w6FG;FSN$
zra`K5|NlTb)}}wZ)AMKHZF*POOi=!dtZpRp@oDlD`rQ5{nVU{4DJ)LftGP@6UK$ZJ
zi3GuQ{rdH4nfl}PfjYz2pJsm?a9JGMFdi=kPYP@R==KSPA1T3Y+JW?6z!C=rf=UPe
z1a#{B`rwYl0u!?#G!MWotEL<(q6#4zzp0Nt`$>>?lS8shl@=i>qT3Ays9#?kZ2HK$
z$Icrd|9*J*37FuKMUo=&-k}juMrN)!VJQRqGdTGxs|ce>eq>$7wsCPiJ?>V>BHFiV
z`n-Avl>@8sVxE-wtCKqMpXLkKaVgde$5j~(8)kBw-)S~A8!yljuRrt4XU~7y3C5qs
zxSYxLKvUkpy`;|zNPrMN4}K5*xtiMluygSRKft1zvXfo7?H80CKULgibKFd$+EN$r
zhQA47$?yNl)I57czNE-~>3b0&!W{Ssr}kPIYfbq~!+IsGA+?>9!pU0$birH3c_bg2
zcV5H+&-P#)&Cpif=yJfqGpJseGq2dOVm(gSNs%T$BS@~DWqTNeXzY&cBjX6Qpi^+n
zW^nl0C$ldN7K;lHa&Y^M^Yp$}i-(<iHbc?LGsaT9u^8{75kfY+aAj|b2()@#y-*+?
z4J04GYFt9yv#;B_I;C=9D2}cpzXee`l5Dj&5^HhZPsR%o^vo&BgOw_B41-PFlI}ki
z&hkYHk91?@tt;LSJ*h(G7qOnr>J^@+MPeN3zAeyyM-VE-4lK;YFa+-(KB>Gpxhsdq
za=tbGHPvq5xAcuVm#RMxYq(Hh*jOLoH>`_Udj(Er3-Zu#j-l9KkzFi3N_EmiX|V>G
zd}vBYJ8yI?J$TgGO*hoQzldt{bP--l7NfNnxrH}){;Z^v8kZIW-f5gS@we!e_`^B^
zH)MGi<L24@IP=55;-;h|f~fQ2FqGrnc6=VERkZ3d+97#qarOakKkxW2!2ax~SJX}a
zwT;oGa+El-P)0$vd5XFX&?nDu66MMQk|Z2l2V=e00+N*ELzm*eN0Oki8b$27P7)Ut
z`tV6#WEuHEYlc~659&wg6_o{OLb2L?vvn$Fgd&n7)VqMes)bo@+Pd!f550>NwBf=1
zC<93cZP>A&reMy0@$#iNVqSf%!(@99DU+d!!y29gpau_=tCrY5eZg|@(RBXwD%x|7
zzU(vRP^#nhgPJA_tBvC3el6hN$=88dL|hW@p+TpOimE(>5Lo&u5)2ebc!8*JdW6R6
zh*s9WNH*&oaQOW92&ys_(c9Z=8`~JCEl<2)XaaObm$2%)i*&Qo<I!N?zW+1Ceo?!$
zFoh2cCpc1#i4sTC2uAEXY-B{r1!_Wuc@^&tg%?a)R`B*cDd1~evb??rH1!!ZUdBSD
zwYo3siRI^X`7#^=dKD1?0SC^WJ^OqBfc|ym6ooXBadKXTKj8ca*Z;`;bR4Z$oULSB
zyF6McCrfM*Da<vkr7ABd@B(JO9}!_;F0#<N2#aUc@kV0w3>~G)f*3Cn%MkxBrR8~%
zo0}Whw|CB8)Pfbup9Qt2EzTHvWWoPIsGb8AS`5~Mv{rx!izJnd8eG0`$}WkDkH3e0
zULO#Mi7w+77)usOt1Xbpxum3O1oZ5VEiMBqC=pEnuu^tijHDA6B|ltTP@YX>zv-b#
z$jNCY#3<dqCx2#g#QFEDXtJlorC%9RcQy!id{^KPA`W<c6f;B*!i)mxMI3(EV*>fL
zid+V@XJT^B(9?(M5U;$wHKj`IDQy0+TxSo72zVW+YkuL_^nLTfT1}O5bC*WLzxBn+
z^s8M&ZSm$p9IrJBUmE;)f%}(4<@(CaTE){#qHW;D)9l4UA_cJ^sf>s5A~S!PqnqAB
zFgQqcQsDjzXv-c&@kZ+ak)VWV@STWFa4nhPco3ejP(`9*Jt^QDOgp&pS_`#g>bHe}
znF<{vO;Sc?r+IzDaK`=gtNQJcQBC^YhXjrz1j`~i9y)c;@jAm;6<ySXN}Y?S(Lmj2
zw#4r&Lu0igtFO@UD10rHKh-UKgUA``2uagQ9jz&YhEwZjmr}~E^?WUqrQJK075*Tz
zA=2m$xAk!Kz}j^x9_~6Hzn(svk@@grTwI4vg!wX=V8^TY|Ewshoq)?G2ux$^Hni9d
zFFVEByf(t=RK9$pYv@~fi>JMPrk8Zu7`vT)94#`hcb%L!anwHRdYkLU_Fmb`VOuR{
zSg08~!gaoEepBP}NAk!Dg;HJ(#Me~LhLsc4U0PRv-pl6bp!aNaq=|1jD|r5q;P(2n
zM|aCPrKI~04(@Ssx!lxl{HdTKcdEXwg2u9^sxY#XO|X5)FXeuq$Nk`w^52&v8GLHt
zASb{3n>JqOM|<A&bMoX8J>NQ0sGI1%37!;dAMld6ywAUV&@zJQX!0p9R<1C!r>kpb
zhDP5fKc%I4G4e}4DvsyXG5)SP?%Ow;=YkbG8-s9@OWfRfDO!xP)aM!>^UrT@X-ql!
zllA;<3FioVsoyLgnfyMmivMiBcSO^s@BpX%mt8AcQ)}*=F%;oZD3Vk&iG3f}by9v$
z!OzDEu54>sd&*<n?@^;3+5G(<H#VxOG!b7s$?F&_WEi-5%dQ-qOT2>AcWfUwZ9zrV
zzcc2(=d$B8PgNcB{2I1z)n~E)@?tgJFD9p(dGS;6f=5cI!m=cG%jDE;T9%$y_1NBS
znO4N3^}L)dzyD0Wr8w>Tv+}IH)U>0`Z+?XdX`S17ogEUd#(!Re9K1T1Gp#%Cj8oMu
zgJ#*Fd1uZquh#4+PNw}deDc!lBRaaJO{(G#)~UR@DXc8NBBRH;oV7GIU@NPrSHNt+
z;|>g;>%iqa@!Qe10hjH3-yE0*PnaPq=sL(V@;H@o|K_tA4?QTZ*K!2^d`jW+J(0bX
zv(v$UF1%|*ooeuE*M^t3hZ%I-J2%M;^XZn2_-;S=Sv*l{cbn(V`^W4fI-jS<ZOto7
z|LwMUNsZLfjq*k;hd=JSuymcZ_EPz)3ahP$yWCgz&feYA!F4@!#hV|RA-XL>kM%d(
zOCDrXqC3RI$fS@N?6j#sj4R55@A|=OmR3K1ONTHFFeLPruujrl7nkXq9xj-m>G^2R
z(UaR4*gd|ttzMudn;AJKD03yFMAPQ$M^4HXdsdy`V6KS|c`p0@aXZIk7}bxFH$@89
z;$pNWXoNzRExWT#@Y(hwGA)w@FN>DXwVG+m=g1Gx(ln}`u#5T_Dj~ilb>g1EK=Zq6
z(QdNdr|!`eBn-8!^>1S`E~Ih4)|&H6p8d^yeece=y~~U}RaEI|3sm>(T8UoIn;A;F
z(#~+s`f<Bo4Ge@H8HMvNXWL^g-CjBRaiH*z%N84pDMy=A#tcn#<?~x!KYr-gvmuP{
z`OAs3&#Rb<3+4Ak#Z{%{KCdyGY_;v(f}!)(@8fp#;J)ECuDj>qq3Tz;2Os&ax%hg<
zmusDq)4r2yffaM5qy9)5xa&GOq^=S#^I|^oF?+RLW~3|i(9m#Rqk=7?X608I)zLV4
zkN)K;=O<)y1dD&2yIrkfFt3#CW)?EV%&uZx*5v$;d410XLFi*`@l&&3X_1-fjy5e_
z?oT9-Kj?PkJaOcfINSD0-pGw*jmxF%*D_B<Z|6MCWg;|lMJ{{a!tD5x$;Q7+x1s-O
zOp#1sZNrhtAss3M!y<Ve<-(Uo*!gMvzP;62&QIfO&1cI+Q(QE(L!L=0R+=Z{fZA-`
zDc_(l&YXffMWH`FW^*gaFcsL(?C6~vE32|@*c#<K``cf>yS3apOmanf_VmaoTT#@h
zi+Ang$}H(}RzA_*BBiN2v{Sr)GTc7hFM)exN9cI_DVxHvN7p~HMn5fxvm2^b+JBN=
zaAR&wFvrXEz|=e0r3P0wH70It`6KX&%%H_+@wH}c<SxCQIoC>yGX1{a>&$leKEFo^
zwV!L9r468oYzuUWJ2PQxAMNq-M#0BbmN`66=Um@1?y&hrmdIw&R*h#5CoVgGmztqv
zn7O>v_C!Dp>nMYqva!<f6v>$#FRpc~)L!m4j2K^gQSnHhX6%m_Gc?H@CS2L^tfiYK
zZ?xM_s`*VW?NyKVmhEo*dI&ZC=}^~ed_mWi`{nYs%m29LvwgNxL#ag}`Bac>$5ii*
zVV<66v0vK0D^1JB*IYa0zVq3jWRXqd7MJroFKUy?*3CFbS1zFc>b|_d72EQcx%VW_
zCysYnZ~D2ssr_T$WWmzznMX^T?Kwr4mjCQl+QLc9HyWbwRh_Pz+5h#E_zeF>dnvZf
zRn0$L;<jff(YpAt8zCcnEsSdsTk?5w;>P*8$4eeM+>mFQl}_`9vsd8iUTwkOOD4}s
z)=6*|N76kNh&~lg!7muQ-W>P{!FSqj*#z~a4GCwD+^v5LG$jx$mu)Yo<9~-cuWZ_f
zDlXw9xTw?Wi|(=i>GoiM>xQzQ#U@Oob$MoH=2BfUKRkNx)c$Vc5cAdha3gvBFyaZI
zSq6Jf5IYEZKu9|R=*hN@j`JVpNFxDc60+?^&3j{J(gsO>;N(gC_foA^j4mPhHSCmZ
zdG4Xv5K=+0X<X(KP(R$_;txrSxOHp(IaLo7!_dHn0LIko1hQvrV1En-&-=eOkaBAt
z)4+{S!p?oHpB7eiVwNJN`=pZG+-nfX!Azg)cEO*AOiW&%PzMPO{Iz5Y)c)RHGeTGt
z9XN2{n4+RSaCqR79C+FnHUSwK8KEi?ypJ1~^cpTR=c!qGp7+1IrU-K6byIe5K<9^%
zk&${(P)fLQ_&?;+b+wRp-iR{-%~)@QIK?F@`s0^D^^G&Mdynjfwi%jv8%iS(=V|Q!
zqsSe=#`{JCyd$cR-nx{sw+`0nt*H&x#Z3{dmB9^q<nJt1J#qSL5P#syIb&L9Wrt$m
zKkqK$_44J*<BiPlkyeftWp^y@CX%Q`b`x=%nwo0q=`pQXzkdDs@W<7Mu(3|v%#dWb
zv~L|-0e!!e#oZdW)YeqN{NM)rGHt17$(7arM_A6=Gc`0c1n*i+3<T#Ki1ek^3;VC|
zT44hh0>phb?!F3>8rj0<g>s}4JpO3>p^&!EC95{wd-!lk4xqRqx=9HXC)=%|ms$s=
zed2)lKN(4ZPC1iGjj8_)48Qdk3{N|d2ul;$<ACge#S`Il6}@eVPD2;5)z#@9BBuTA
z1|#WRt#4L=6#_&3>XWXiN~dqDL&5HAF23q|4jlcG7LKfmnUcWdgxh##DEXO{P$W#R
zq!w%)oEHCmd%q2XWUC<3Ux*F{yzo)?f_C~`9mud~A85tC5s?3-9eU%H--&I51OVcQ
znU$67k(D+#)q@gL+pH39>}_Nx2gs}2(Yy;i=3J^|YGR0#Eq7mSQli#2lufa&IJUAq
zR<a}e(H{HPqryt<8s_z+V}v{4YX=DjJvJ(v2fATq%rQ@CAYD#G@k1$&F6Lh!>VM8f
zpjGDFgj%Q~H@j04RgRcPC7N;-gN3fZHw;nL7+Y<jPI;Fm824s2jLn}qYUPeyyPjaz
z8#q^<esBM`KJr7c?>mU(zLed`6V=rSx`<9)xNsZ}Gbqamu_L5ui8M;`U3l+}9#Sjx
z29Yja>GN*Qo5an&kOuB}T^dyOo$$+CY|6PZ1NVZbsqZAV%X+)uv4Dah-WMy`4?5sp
zV4#7UD@3D8gIGx|Piz1c&KsLbjix)YKOd1Mv|NV{!6*8*C$+XQ5hGeN6P7*oo0npd
zHEBp58k^*?V&{#8t?}Snkim9Nq@^6~k3T>7k|)2vRe(-N4jYX0m?qYkVHL1|F33pY
z7ZfZT932%S9a++6Ri)8&vML9)_zm5S4|iX7aoK!lJ%2)MB3MKkAw(vFIAPO6uxbpU
z!Ro_IupgVWA$DG?pTHJ|WHXCR4DvJax*KCB6C*^8?|(xN(D9(O7N;UvsMYxkEnMyW
zgX6u}GeR8oy9u^93z}79*eH~f+UhH9R!as@4|3K`-PD4z8m3DOQFj)1Od|FnQ*~JO
zi0$V>QlW3)&lp(XDX?zP<RFUf;O9?baRg6u>Bmd|BA;|PWYBGP5|%|+$u-@J$uuMz
z>9KI6_Lp5oe1l~M8)7iytNCykQdO}D<`_k~9VWeZ5V}Ys9orr|(yfQNIX51I-E)Y8
zTe?4$Cg5vZf_x8YUX6$-MbplT99UT=z=3pO|BI$6d7~rEqK?%5BLU&zt8_B;j;F!1
z-y>{fBpwR$64`U&#;B4Y{3|eVFs@&3m>A3JGwsFU9)-1lhVc6ksL4x0b6g1)zNSMl
z2{Entcd<)G>?dKB88z@g!q^S*LbBO0Y@GwvgKUIhR+n6|y+FMmU97~^4rA(Y9<ws~
z?f0->?%E3T*T&r!uNTeBs-qbib`l>}sWnz5jpm-nW~bo2Aq3Z-KhH2~7=(vtU7+e8
zN^4&RC8k>z?d|03hQ1GYO&2%5;Fgz<BwKu7C&PG{ZC!%SnL@WKAS?x@Tf1<Iu}sjg
z>{bdEIk7sE?o7OJ>}+6JP-qeaS3j&cGp!u+lqm4UIQLz+6L!OOA+4e^4bK=qaqlWB
z`eZ7+I)|;Gwvr7N=4K{Ie=Yjl&~&;H^h141XYUTXW!0bIrKdV8Y08Hkt3DKm++~-2
zglQc{HgdtHR;Dgz&#uKrGBAPE#0;!x9UB^YjEj*CJJ2OTHnNnTpHvQF8^Jul)`{&2
zMFP1+MJv&)dp<_>BX3;B)u5ma=m8Os>aVzQ;|991R>GItogi;Swq3$IGOutzf2t~j
zNBVGMA_(t6P<ply4Ats1MvZ2%7t3z614HcH58Oez$|vg@=MICcYO2LNf$hEpo!Q`_
zIAvuUYR@m`Bsh29u<@n~-P9!;G?2MK_N2gZ<`1FyGLb%9>v?SD0m--ORe>f8Y}wY<
z?}~iWlp~2E%K+D3%@pzKpaCUO&hfK#B&61Rh&9;mrjOh?0?U(6?P2b-qbg`prcdo}
z6!9cmUV_aN(aE8hhQ67L@#B#9_3|>G!K}zL6Q_xtwRPArCb#mCKt0@aKJXc_V2=i2
zN-K6@5JvdY@2yEJK(9?OLO2s9HL)w@V{Z$xqs1oVT(X^Iug2sg+#%CGP>bQ{%3W}!
zV;dR^%}#U*iD7>zee`Zi<l{E(#%iW-!W}2+{oDY@n{__SP(IkLP7jeYA6+~20blj8
z9bvH$eHE*%fs*{nY9S5FdOw+AZ@epA$l9B*p@k>_6P&2axFjU1aNuUkG^CqN*u0Fi
zJDQ^HI+tv{$;8O0lYv%^N_&l=0Z_0Z-(H^LYQ?sXaq-3LJSwq&m=HQhbV%d-VMD_g
zL)gZl4nRu?4TGkd1?xOYeGgNW)A4C%)l+uKpnF+&<IVO5Q`qZbBW~qpTwL5Ybda}V
z4~KV_-!{BV7^2QcJHMW0XWlL5d@#b6*S)+p!yS;nN}^sz-@u?Iu4|K30h=S)Aygd8
z)(1i`3n<QaH|2A!N_MMs#8H+1%$G%*A=jQgwP^p@P414KU8b6B4rrhD=I*%NJT_MJ
z!OjLhNLWV?vjIUT;zgQ612v>|isq#qYwSd#z>Xb4?Cuk~WK)Wpk&%(#5Di<u@<fUf
zNZFIxQdaXVn7;MBf+cbNdKXnJ0*3$l8~(lvMf)ki5r*S1m2KtYizyuNgCiB*46*ad
zCq`8&?9csNB-UYe1!b-Ad>mURs5PFMvt?we0{O?;iRM#2Y>$OqrXD1{jgM!<TEO@i
zBw9GXti#Ja6g%7^eMUz!#e(hW;kzFu=%@fk;Apx7JEe;8ERyCBUTl@kInI_#sD0YP
z$TnT@sv}3IB)efR9nuVnjRTb;WQ@(Vvs|U_ZW4QfJtD_;{M<@*`9gC<x>;RSRS-ON
zXlHu!-W`6qmk4J3D%&|R4^AE|eT9B};G+OcLv!qorh~MfS5S}$89#Ikd4`5G#eG8`
z5}pFfz6HAsY)1pfg}OOn^@HCNTg3q*Uqx4Tvri9PtwC5oYp^x$(WA@AZeZxd?QCeo
z4o%0<W{0NPbq@{n_0bcz-`zcHl<_w#@vHt<VP_u`bsfj?D+tHX*bR*%TN#_R;U6gr
zY6(dSNNg!loIHeLhyn*^1lV1IHcLdMmDcefx|X61*c}d&IN~WDRRj$R&{I<CChibP
zI1h3_uMcbe)z-hj?&0_Qem|f0=l6ZTU%VUOoaS4iBfMmOcwGZe_!c?ztqcspF(MYM
zRH?$?*!Yb4%@CG0k5+fd(FWERfjVt}DJ_cAKq)*pD)=y`Xb>D{Mpe2iGXl|yk;}!j
zI{m=fKS0<-T%wbs*ZQvS8E$hWh?ltN6LP*nUH~p}7R|cr{!lmfw6eZiC_|Dp*O<(C
zln;962C`Z{@dIi85)Kf<oj4wm5mOl4F#V0|?UG)gd307Mb&UXG*l!i$2<wHDPxMj<
z-H$Fb;??P!bZIe0*dF?2%C8kmg!(IdV?wbzSO5_9V7eG>d%3})<mt7=0L2b64W7VM
zJPy87ZMQ6FrrNjA{W|#l1yBGj_4)}8u`AWjc@OVfh+()maCZ$CFZt`j!l%Jz<-z4U
zQd+7(ssG07A7JD2rL>9;RFKcTL_VrZ0?ZL=RBLo&j`=Ya41yo|qd!3rsjzGG+X;QA
z!oL|U@blB&7}TMI7qzY|U;%lNvJ+Ke?Ai;F$Z4hUG>x-TaadYQ=_IRdjz6mGYIV_8
zl}o}r*J6MUPC14ZP+gNd{?h{4(e`XOYXy7hwEi=VfJj2KvL?N3WTrn`#T75DVVb>K
zOA>zJxobHcjv4!%W!|QZ0A0(%*;FCSKB7|zcbsM}m*vkFi{&^EA{eEDa_ua_t9Go;
zhUQX&dtxPcoPDOkc!(~&sm@{awfwO2MW$vbo0>RY%hk;-5oH=RcE8<o%QmEy=v}({
znQ)8g5Qx2)Z`Ox~K7O?(J+8C{SrZu%p_rFej{s;!M0{zV_f#1S?HEKW>u(D96{8L^
z=;Au}z&6%MYI3mm@MSi3S-50PXn!&6VZpfOnVDhmYEKi<mY)e)M}ctQAj<=A9d|mK
znjxIngpwll5^UpsujN%t4q%RgWiUlk)nr+QhKBm@yztfC0xY*)XOAZZ>K|<5$UH4q
znlA0c3GcAaP6rY~?D@<bAFwI3X6sW#R?Zw#9nF7r6#=vIYHlp$;f>JHyl(3jAsNve
zE@BKePR#9@o!-Ggnz+sG4mGScf&zHxx(pdrIq6(*Nw7f-+g~uc#8_k`0C<qhIx{@7
z^`3TvCANHSs&kF*_I}TvIuqOq#-ON*syd;I?U}ZEa!u4kw%%@7bCUx=T1GMHvvWAz
zU!R>yWdFsk$UdB(InFto_izA}vD?W#ASflJJllO)5EHK#7#v|mDh6qgbS53Nb2F>z
z8h(A|t8(0zZygI}#U(RvVZ6A_mk^^EfSmf4IwEG@r&~l>VhPD&#BQhgZRBN%CB1Y0
zFILA=p7(qU|3IhL;}|Xux8brlg>b>#EQY+GprFs=XOkE|1p)YS>M!}F+B!mW?l2cy
zI1v<_L&c3Nw7p=A|7iDS9;vW!mH0=DZra0~Qat<5)z9R<a51)@=yWMm=tc)u*{tt3
zf0%2g7zmeGls6yhih2FLDmFs<$&kZS)QGUKuv;?7aW@Pmjc<vdCV2nvU?gE7k?sjF
zOt*O^UT-xB-AcBl<Z=zBK4aV~V-1eY!gr!!6#J*gp6~d`pC?tKDg>*{@SMr^pFq|1
zA#YOcjMA6c8KUAimy{3{m$K~oZe>W@zYO~P_iEV#M~jL!SuM?m6-~Q-2Zdq^{M1{!
zcJ7JA%8ciQTOvGl-XtoviJ}|Tn0`FJ_DM;5XDG2Z_IF*Npm?ZMx*i7t?m%yEqyn?!
z$#t!~#(ey-t$U>DV|j4#9}fuR`N99mfjRe_+~}a6wd#ZX_XEY7Asd2CYZLbU4M^^e
A%K!iX

diff --git a/development/_images/sphx_glr_1_mlp_epochs_thumb.png b/development/_images/sphx_glr_1_mlp_epochs_thumb.png
index 92eb6b04c26c187f4dc204f6e4f54493ccbc7d2a..2c6ec380ae2591662c2758e82448df35b8f331a0 100644
GIT binary patch
literal 18739
zcmbvSWmJ`G)CCN0kVZmjL_!o0BqXF$K?I~kx&#I3?iLWF5fPOJDQS>yX(gqlB&0i}
z;a#`qd7dBN_<p=&yl0$q#yQ))@B7}@wXU`1nscuGMp^M80Uk9T3WXwgB>O-Wg+hyh
ze<*RV;1zq_6gLz~_W02QNj2Am^+^|3wWsIp+Xs7(3NfUla4>Lgr5@Z!qo-#z^efxY
z*0jvVsor2^C2z?H#{Z_>Pe*Rqh@O^0k3ozfh0lj}^(RB!<IL%4x=V~I%9pu#0ybCO
z7CO5ogn6c^zIodBR4wYprm+m(ucN&gK>Uq4XJwauzqLRLhoL1_68!-V!-G0mUmS*j
zYzkarh5+LI8)!EIh|~0MN(2x~4TfR_6H5iVN29Jt;izz4rH4<gNdJHTP<{nI@vIRm
z8(Xt^S(<uo|4ZIc%X_GA-@f&&?l+u_ZZ=#bm6UL|g;DKh=|52+MX7ypPgK_q{_!3o
z_@(kf*T?(X+SD&zym)SEI#A_cI%v+vS+{p}{a4w^WV<;p_27#5G>bv85hhd2n}*Xr
zocruL!9U)v>=`KesKO$&WSHEGw-ccG{P{DN$6w3ygNBRf<mAZanMRY+XWSo`MvEDP
zi0Bqt-jKAkwDhIk$3`h8iM$yyzjf~(xvxJq(c74q`#;{Zn+<)5J>es~F7&|J`Cfm2
ze@lBikKOEp@87>u@>|o0y6@57xbf-|Hepm;+(RRy8+LYf8;kgOc(bF$#sPtWsr@fs
zPS=Z~`1tr}1nmRn=jYu6KM+%7>vx-)`2}OOzT`zGCMNdPFKnNlPJZ`}RNrHrub}?e
zyxMX3RT@j}!Ia06qtM^Y>0ZW2k#8UF8XxWrD0OyrJ{!){^4#fU_WV0$+S1ncHafbg
zv{&p0--vE=5S@3&$!3F6jq^Ge<z<n>-~OcJ<f@vQ9Yo@%67YZ)BL#oNFOG<CadDrU
znCu*{77k=7(b0OW-Azzrw)*uo)n#+abFcs59i8&9-@gsXIrY2Vv+KAnCc4y~;^Ntz
z-;{XZKkq0sX-q;G<S!FWz1?=rhM1BvIE}?|bLx8T(D$7`KeTFH?;5v-NfwS6^HS#&
z6fB$_OfQy==%;&~{Jo=962L$083QZ2wNbOVvk-6dv(Cc>Zq6DTf_4c@Sw*GktJy&I
zmoKy3{L}OMBL-PM7w27x!f_Q-?x9Jd9<z=@Rp-a6A9>BLhNKlauWJwI>$GR9q#w=%
z(N*sD2xsgwaIjsaPiuNY8u)j8oP?4RN5b7*=t-7ht9h9b_s1g5J1ilu<T9kv`)zmT
zA93^WxXp$0E0bczcgyJN(kw482LuH4LA;?3;_3#LTb3QsmG$)_Casxo-^TULEvOEO
zWz&G`tca**sNQv4QXVeQlef3$&dA8POwHR-N*6{<A&dS%_ll!X;>mHX+pesl;=&u|
zB>G#o0<}s_s&v>w(tdAlD$TWpe-w0JQc+RaV62Xy6_s;x;)7u4H6QFa^9)I=Y;JkU
zo5q3{8yg$&`t{qmxS;-*jt%D@*~6YSzb<y&Hd^RSR@$7Z!^OebYI(@eBF%_)gZgGr
zv)`B{R-<)AP2r^n4<DBLTzIP&=yp;VcuGo32cCpZT2~Bwenf(GnX-|mSEPBVKm9fb
z2NOiFj&)Vw=g&8hIFN~?ef;9Zt@MYHOk!e5f%p_9My+_q2b;YqlK!qMIa!r6udhK^
z5ml}h)NoOU4-OB{+6qiKJ$Ue-uiQ#U?C|#`h|ak&BH7?j2_ao+|G_*h9_#ue6O@qi
zT1OPa{fTi}xA`mZKeFcLtS-}D{0GxM;=fnag(k`NcYbj4*#4HdXZ7oWq$C=|Xto-w
zN!JI->3XlRS~ni@P)u=gad^OPIIu^s;Vc{+3$YsdsRj++meci#+jH#>(_RN?T=w&_
z2UoPR_E$$D=jWfh#KjTEkqCxq;G~q7zc)?xdLJB&ljQYRE3($a%}uaZ{6b`Vdt2ma
zK8DuqF+)$Pe$e)@CI07<lDA=DVM2ODreE^&Gm47(CSCM&bmV1Zu*k^BlI}d=CC*jP
zzrn*3Q*7MsKEHp59KW#sm=zNf^K{+DXSc%w&#w6BIsQ$4{<y_tAKGvk|0cuVa0(b%
zSeD`_G)QTEPVKn4xizcoZ$WwxIhb(x&~4IX!h>9-`x9TyyIUbxZ6>8d9!&0D5V5UB
zO@>?@S6RMM@FtLVAUg^{w^_SOD3cyNl&di^cK#>M;3^G`f`Y<j>hRa$*Z9-=Un1vr
zX(*Q>l!EiG>YrKrjDcklA?*7Zs?T_-Z;7<L=w^=m_8sy`OYjv~>0cE#O6uzGJ;paC
zYXsf*SmxRz7vZ8<^o)%Du#719^WG3LwuzJYZWHJAUrs#*TnqtQq_J|+s;XC`qob!d
z{-kYnqWaCtH1pL_dFmF4#)snPhsHa*yKd`cBcrf`@^Kuky}d-Ct>~46&4Vv_H_r0a
z+04w$J}5B3Iez&3`AtY~qwCJS^|u*X$R1}66u<aEE)zl1dEI4VX5F3xFZps5hhBA&
zNjLScGK==i$MKZn-Xih*HknrA<qDs8-=wA8C@CosfT!21afVHcs&ZK5_B^z$KiLpI
zur%<6oOTYi;L`8K#fPiI`Be*_ENb_90*EzAmX=-~q|OrfDPeW6S4>Dj{2}FLMAw1f
z?0Db!cyIZEjLh2)A7mXJc^`k`o%!A552^R+wQE0MPk#*NJTV(DUl;6MG%OvPU?+oh
z;msWiQD2QQsM(*5dH76^b$6kgk%7T)ra8!?hLnMWI<)nMUWu42>;)I)ienC^_E(&I
z^&jgM(;Kbdd*t3bP|V6b(bkrG`jpJQPCsI4=PqH;rJ!a>M@Pp*yNTBi&>sZ<cn1Z4
zaImk^&iKGhIl$)jojZ<&Efd5?^CH9yEp)<lcv~O!ZW3t0S7BC4s=e8(r?0Q5qSCKb
z5&Ql<)VC*vi&je)_n_Vf??PJDDtV53ak?n(www_++Thdh(4e8HXe+^B$8>kMSA2KU
zWxC47XS<c+b5>Te)AXMoaml-uQGfpYnO|5quQDnm{uy{HK!6j@-}PzFT>>T1eNwn9
z<j)f8Nug@zb-9->S)lr4XcX#WU}2S*53xpE7nVsD^I96tzxFVK29C2gJumM&m2?>>
zo0{d8RB-LfbYcmkqnd=YA|1#3tGM|1#`7J~@7}*hKJF-Voqy7i#M|4O@-mk5+Nh+O
z8Y$G@`9FW6V`HToyw47ovyw;4EGUpjP)Zh~5wP`r^$Ptp!8I%iIXOJYyioazJdf;I
zSy?H0UlPB0^Co-9e9v9f<6y&yZo@!Vw=4C2P;h8yGoY@R&K9VH*^mf6e-400ymIxb
z6d(e~0BKKi)!}oHQ~M0tMZ6!w#$XveRKFc-qEm-Gkf<0a<A)`54_|cExlH>pB>7vn
zZrx;NCLt$p1B~!d$cZ&IHMJ{QJQ?D@^kx4ILK=a_Aq@lMoluJuK5_?MVU(#HL3wP}
z9RP0PHTxM5r|<q|G07u>Lf_SI+`5J!y<Zlh1S(vHX>SrlsnNZ7tuk}6nVA__81+K^
zZUh|6wua*3;YnqvZbMDwaosW$J6>W`V<q$R^8;woQb(%l?Jb7ok5)Psrk<N&H`k_+
zES5;cW0KPUvd_FMLB#DXWEmdgw#)Tre|7Ni@o%%S8N&fm_`v1Y8N<BW!5A488`}!?
z?gLcji{p_7N&#E?)saHefy~FAyWRXql>KO4uKaN3CFEiMz29tggvY8_uqxAv)Mj#Q
zKW{wfGS#c*8N;!X7Z8IN&(=nZF)%T!PL9sb&T?{co<Y4-h`$$pc<72E=g^hSQcSFb
zH9)bzW3+~lIj#)8nV8UpYTo(d2O~H4TR?E!mZMzXnw#H*h20btO@!U6?!Ao5Wz>Sh
zr0_xF*)s-6JIHq&D>Zdk8@+qadO{Ws3cLuoO+{5z%EW|8F)L<g#~v0*JO4dg9ROly
zlRtK6SJ#8wA)|`%<?#wmI<LJeP_`|{N&+9!dA-Zay8~evlGa!4WI^lt8;y`otZQwo
z6z)L;aT<1wKLV};u;ig=mW=LuK;M;JiRabFTT@8_oLfKS&xG?SV&z(cuP{>HHNv=d
z&(iSx^az&WS;ctqn5CMAM*5I>|FR=w%Y(Vo(^CjXr)g&a8aPk(5FS^rUnh`obrqPb
zb}}9>x9a+E*B_u@ve`gpvBe0-LU;T_MMWqVSF#3{^=0>)iNtS0<!5^QDTM`ZM9<}V
z#iaAKd-35#MO^i#JMu`y_a_p=X^dukh;oIibA410IbKSq5%U}sts0%NML-MyN__G=
zjmwTdq4YyB(@ic-Ljdi-vSTmP$g<<ci#TtuwoW!bXfOx@>XX<bcgw8C@4dgHCFSWU
z;_-Lw+1BqS0UAP+?oZP3_pAiGPX#0;CBvxsLg1nM0fhZ3xBAiOcS)<xoe$#smVm$q
zI0td?NIQSWZ3gPSJV>Qy079Ddr%A)MU7@6uH8iAmSnQEb?@t+64h{>O2aL0^QRR0D
z8(E>9VI3Q^t+<BMK>jJ$OQEe&aLSC^BcwA_hqN9HS>Bs-6f*nu^|r-u-b`*`J=AuR
zSh>LF8C#_`8rY8!eGm3h(_Wc;^_ojNjtAE&30b(}yB(MM{8CcrGZjA05)vyFtgKma
zljuQi9$5aIlH!}4%@Vm+6|caAY`U4*ZOA%~>%Yk2yW8Nr;}R0e6pjp(ypX?)bqTW0
zEphSWa;x#HbaYB~c6R~7-{9hkf?}LLusmAjzzpg1CI?3Zpray}O?`;QN1^2GvI+|G
zutG?a1jtUvWkW$<pB4ZB?5i@M6=<QZ3pvu$)1!RX)+`~9$|@@pBMGsj<Z9{InppT2
zEM{;>2y&-<or*NooC$VHSQslScF3gyiHhZxV^ZxA*CBVLRaSmjSuy`~&q@x?24qVJ
zLwkFBcmU*!o}C=T#K-@rc3MTi;lz(vQZlmCk=4mv3F==8j?i>+JV_!X-qs08+X75c
z;<TzRCns0AS$_g~BE`ewJ`wTqx2w>Es^+LoxXy*^It@L=z`z(3bXbX%Kw41_-{fRE
zI73q$&1?k;{j|`;Qp7@7ePh<mBVp(JOmgo?2=3D2HU=3VPNc6zPcy6~$1jJt_wRR>
z(j)b^MDV0l5Cq%N(^D@S`(_#-GZZX{mOqe*eOK`>ATu(vvHcL`PfJUC6~nBg3TXhc
zBBY-L0lRN!hwxGfgfAW*9%>|P@ATC3=g*%kckV!o8Gv+*@82(2OT#-~t&dmKFz*T`
zD(>v;bO5{>DbU-%4S|M9)Z?%1QXfM|NJ!C`CGClB!E^3ljtBQubg+8xMR-zWh}ue%
zYoxLURCIL}AVV=LCNx502yI|wPol8HYJLT`%Z4tT33+vOatP8?sHJcoKL|Q37?x>&
z6!o}QTwF{e?w#<4gt^3R*8~CMQ104%(Jpm#bo`!+6wd@i1ObJlYovDqWQG7e{t4Sl
z_g`P0+4Q*(h90oVyzJ_gD^2p8buFhyyN@0}M#{nS7ccm-2ilIgkKP4Vt|bZuT$DCQ
z^xW&CUOC_`*OslNwZ2%(i&x@&H41n?BsBCkJNqAKdw!=!iW$Knrx9`t#wB6mvY8So
zs9K;-a$BH+4!`+(EL%=q-sil$F!+L{4vUKQM+?`a?%!VqOn_h!xXLYhdS9Q@IXXxa
zwBCo$HtJ8T-S<~o;rKwRH|~6U>+*FW(r}q($Y%=aGU2XUP1v2?-7lbC)IvK5mD##(
zU!4kjn>d*us;f%@veeRG4hi66=V=2yy>4hJvkM9`;YhT!wgNFA`}na_@~={x>H5Qy
z6OUqd29f2#+No;`zGc*E`)eQ76AUklE}B3ag7iuVtbyaEB!0#Vdyf4((Pb+2ar`~#
zAR(v1QAa^nqzrrc=n*cv_E&o7r?6>VeWCX)0{n7t$F62lQC1cQN-%sm03L2`Zb(If
z4zIt~&7s_SGGt)+=FOV{09tve3E)tF`a}&hNK;c2p!HX;UKM0x64Z4vUwVFVepY+D
zlDm<SYTA>qOc)I?r`%>bB8}yA`r?d^v;Ob~Bz6QYcx+U)*L}$()=0>9j@w&iClB?A
z(orE*U_xNj9<)n7XR8LDe?R8_0m23Wgb+}9x>au<#W1NnecGCp>>Z+CnDzDRU|sp(
zav%;LH36ipKLbkQ8EI+X>gHvkaRid&b4G@Wmew1&jI{Fd;kuO6&gW?mK@X&*@A{m3
zqNAfjFh=b*dju;Hrg7?3zq2T;d!O?p>uprjZ~b1n6sOf;k?j@|k-fhAu#n2|*CJ;$
zk``%bJck!!|Ih|xHz55g;6l_ZfB!1zLs7DFa%pgo9oI&$*mn19K+99(vbm7tv5^Xp
zNY`V%Y{F?o&vLZLFCl^E^z3Z8KOI{`&xs5L&C~Kg)}?~s4)ODCqS@Km4+3^KbjmG}
zk0B2L;j>XWM+j>Tt?q=|Vj={^?pkSYb?@%o7vD*N%c|YN)pPSK!BmB91~7|yIaTYH
z$S8<{-TOXK<)A_u2(1&T^s}FzAHgQ;`<yu;jUQB3qRQ%8B-)|ngF^p%%42i?@Z?Gw
z162Ni6L(u%u8IkJd@3rct|ZZT9h*9`^nRR5^*Sq{lb~Yd?;c9}W8Hn(M}M&1(II=V
z@9T?#2aTAnU4UY+n#Yc53z(~>aN2z}AH{1u@c}TJL1PWc{!9$oEVMp=7g0~2K5d}t
zU7D=nM*ssfI0!cbfMMF}*LP^6Ao)$8K@>n2-UI;H$H!;+8rkd(Zt8HPzfFe&vT*_o
zju@4Ht<>Rj-^-L-zJ(3vp8!4pl<IhQ`^n+yZZ8#pK%g*4DJbRuE<o9M^ym@v3-*Uw
z&tU72vJMPD#Yq+H$>hx2<Yb@L#4YJy`5a(Mcp<^{cy-6~AE@$u8}Q_ocuhp72+z%?
zQSf}C(hjyd8qVCDt$?inO`cXM7L?SEXvQiaqyzy*0P<{KcC?57H_4&O`J?Vl>Z`GG
zPZ!r*za0qBL|}=ga4ufDGRv(F9oFN=1aJZgjzd@MpO=mSrn)60^veqsnLzXaXNCt5
zBp@!$JLI^;bb!8A10LSLiFTvq1qZb8A;QtoTLfZ)@J5D!&6xk!^l489H{H*XQ~Pl>
z^q_{ittYSX7#>_=K(ps)rP>;*D_XZ2smhFt2%^jK8=7DLj?lRs3VRM_g2b;C{Wp{R
ztTz2+@Qu%j!c4`rVu_`6%|2u9cw7zgzl&jCet#Ax_~oDV5crU(tZ#z+<GXi~QGePQ
z>WMyc1hDTmGRS|!XTX3z(RoJwfsMX^lXn&KzCqyq+(zra&M%~JW=Ni2p4ZhT3^?@O
zS{G0Gf)a`dEa!ivuQ+r&fS8^=%Hc_lWIDDnrRJBW<)|%Sjd^5!PosTtiiWB=fHt1E
zDRCa`gE6XL7ze8n%yZ=Eo3QG+4wRRpP_M@Y{tb3up9R>GX&w{;rU&X5DAadIL4pDe
zd<6<AQ_uouLj5IY*WNmui!|n<{2=ZlHeO-F4C&J}$?dhTuW#s+FoXFV@?aXTTLHwT
zJDvX#B7j+VOnaUmY)s}EG)&d83kiKf$R135@+e?Pp#gw0k1g!7@f-*$KsI70Yo(=P
zHg$^Dod5Gwm!p88L=F`-zcq50M{8UPJ#+w3LSn8x-T8q+f-X_m<tI?401+yIJP>eP
zit@OCE&(8HE3g1sK;0%2U1{Kw@cXqBx&_Qa+RRob#~r}j8znzq@<Q+ljmPtvNx|g>
z>}D~vw6s`4W~U7D)kmo4whs<WM~j{T+tc~{xZB~3A)GcW)sVG1<p4N+f^emB3GH&r
zM?jmY=f+OfxC}s(0i9T}<{e-Gh^eW+7d>l!3GfwCAJgsIZ{QuqW!hr^9RIP>KUen=
zs0u9K?A%<h(BXNFn)yhy<`6>n+c5#Jf{^F{BX=7w5dpUEg@oB2M#a<d{ksw17m@SB
zIRyT{d-u*3_|l)Hrb=*tsel8AE_K4L{ko~wl=$Q^O4$OD6lU*umf+_?o80x0CkQzH
z8;p#={@3pPl&1`rxq9^~U`8MY0A%>7ue#%NHk@*|wzdM#X~adzp?{Z^?=VQ7;ytm{
zX^0XQPGxlxY{y!?*TS=^aB9Be?sMw!%${?KSf2okr}_W`t;NOy|2UjBXW+}@FnCL&
z&wCyQ`Da{xCoYKMgk}4H(Q(A}`qeB-KD>er1de1lXkuXuDJ+ILTh6y2;(2aL^aR}<
z+#k?g9^!^`69=b*$e1govP}}i5!6-s#dgY-m2Yp!K_sbs1b;?#2|{~13MEJ<B;L33
zLK+@Iz#s0i6N-BBrXrX4zkAf9Gp1&ajz5Le&<pQ1KvVgNjvNWNI_E{l6SOqfnyWw)
z;llOVw$$+Fdy}H%a2TjraHDp~`fwCl3;2rR_V8~03!I`)jV3$)9+m_iHjaUqSBNXt
z{r^5Mzqt8HS(EXh5iSG9;nr=de4ySO(vlY(g>G|lwp&+_P*J_n&Tm_GR8>&{f><U)
z^$Hc$vY5uPbowrK{uT3Eux03;yb^#*U1tI*01q+2*#VC63g8@+_v!XSq$4DiW`KSX
zxXdIV1`!0=S7xCBjZ38Xxd5<#6csFIIjCrkI}8CR&#(9v+q12Z!owiHQviALiO*tU
z9L~nKhKn;B@;jOmfUBXw`38OD;$k}i|HM|!Oscv;<M<GEl{N$SM`aua6dgenl)8S9
z2jDJn?3frCo9oy`L=pfG0dl<?-wkRE2`z08;9G=Tj1<|yfoR+~lb4rw+o)P}T`O)s
zgklY}iBEk>7eUcq%tqW{>W*JHxyhJWXE$nf7y>Fqj-FGzhsBw(?XG}I;?yS5IMlj7
z8_M~=9d#q18-hjv!dms7g3tkA(E}m_Jd~=Ma|nPrwA<ul7jqf?cjHCMnn23yL88>j
z#|5{h0*Pnw{=~3H!Fd}lH0Xu;3(N-obz$e{z}l-leX0VQ3|zSz&MYPOa~u@3Ec1(t
zPxSSBfFXPn9BeBdCzH-_=T2B(pEAG?<(1tGy7B96-snxmQB|~WtzWMixLhA*1Ll$i
z&MxRJ01**U1lDO`CAV<l2WP|Q?Cf9=l@OA-!uooo*f9$>5$$K_0FXTdDEA2{Pe{QI
z!;ASEt_dbN=rvTzRn^5b`!72|FT9lYWijr{!((ewX~_)LM5pm(4vsSIa8OQENJ*uS
zCjEBYb{C?fq8hhmnlE%2w64wU)}#&@3Y3s{z34kqtb7*nRVsjZ(F$7gmu1@44QI|a
zaXS{K7injg#00VIe^q_Ebl6=PESGUSdBz#6jqgPpC>Gf`JKkg+nC+ah(}|TpEae)Y
zgdN-)ygFBnYH<uQUe)sh)l!4&h~&7}+>T6bzNz#6Q~?y<S~>Lj-jH=dR<ilcy?^KA
z=~a54_dRs8CsJ((|NEBDVpm^F^z<6${Pz~VtMvO<28Nt4)HeuiG~mMejA*KKGwiyH
zvf}44|8hlPG%AOvj9mM2Kvy_7qaKc3>swS#;l2AaEn?YSyZ>%P23H{)qki?Nl8Fot
zIBQw-&-JIx4AqP@XIF^W377(i#iY?cPpS3InhO-una}f9NCmS+Vsr$)bmLP?_ML71
z_jDqP=<`wmZBpswwvLJaZXLO+=?jge^3$h(>g&t~nB?R+cMIrZv91=pW)%0G-E!uG
z)TKg;8wF4eq4JzJryg5dbBv9R-O;U#f}E>Vdzvv+OQ)6`@HYLwdwgeHyyONf$OL-?
zoFJgJfHS|v#MDN@>0{RF=uq~+{s}`#cttKG$;fS4UxfsLXrQ}DNJ#EOlL80ptMw#x
zdjHa!xQ4HnC5Z=G`RG2E_9kYkLUT?P>G+H)Tn0jog_Dz+k1zK2lT0qB6*UE>0YN&4
z*%n-AM--){r4vsqEG)(ve8h#F*RpvsAs;mXvWFhJ_W9;q!mrCN>=s6%2PcpxU$+_i
zFF}To%2zLS-#6EH`$Gn;52!1qlLx@*AY8wa*iis;vS&$;;YnNgHLXfp2Ko1Qp3Szr
zc^4N4)cN=M&KN|BBw<zr(wH&HU5BH1QqO<MtwgAhc=r2DF=`n^;3t_1skOBUEiDhs
zEiCR*UWUs9^^*pQ5>mV1y2#xR%7H-Q2J#aG2dqY5g%N5Qhlt4Z@7ma9T9FUXVSTG>
zNMiv7Cr_PCJ$L_SZB?HDjuq37PdE$(EVNXY&;XnZFZHEf0=5@4U4(*+VS3zCZ3CPm
z6l&}gV37eBS63twCIU-f$o&x!j_EwN&|s4==|MOEXi{~+$<F=)`erqC^%9Q*Ykl|S
zjL?gPuUNsW1cEwE&(ONZ{8gZaT#dv;Ix#l&yx&VIBQpgDlP+{X?uf0{WBE6UimB@8
zoWwW%y&pt~sJB~PJiWv;G-3TOKUY^%qk#Wa%yQVg1_S`CLx^_1$;L!gTmjin6Uxut
z7_ped<UVHl_i-3JgWIc%rrZ{<LvnJ3Uc(LaXg9c#pxtbX*1<Y-V8D$V^(Kj0PE<zg
z*ST*4tb-m2q10XBtyH4!ywE9wCW}Ccdp1*DQ*|C%pyq?5p1td7UbbrWMeU3H0oFBU
zzq=0<xo-tj8oAz)kdv23sDWqCo;hwzPyz96Wwow#P`8{Jzw|Q$|Ke=Zr)qy#XL+oY
z8R8Xo0})n1cYtnS5p+TZ;DJFsvK_aoC^l?DfBW_=rKtPYtf^tnFowQ7=I43mb6$bO
zX=uu~<?7zwxELV%Rp-GEO^pz=^6z3}qZ1Okz%S5mE;=0AhA6wTvWACSGjR);&UXUx
zcW3H{3jQE@|1!{WQn^F+C+lMTrg{34JhUf&ht11G{*D@hFb1toPJVu?b%h771V<J5
zCBsQJ+a3CrgI(lA+dXp2!(Royo)P#sh`FEX4~f+CH0^ra=;QK(F>v1a&BfR1y#df~
zPm50s)ftX`cp3{*IW#q0k#}*DeXS?_`GV#FPXCr$-o;X(&ly{<=mE{N&xI)HjA68*
z#|gU<92VPW&lWEv&6olz{-qMTPFP(i(rv)6J_KO{RyZJtzfW?3=}`)i?;1No-(z*B
zo8BB;b_7a-cVY{*73r9m!DT_RFQEAtQouEPxp8@hZFeZI!{-0;X<QgaM@C;Q(Fe8^
z+iAK@s8w;daiioJ1jwmx{cl?4pn_K<O#?=gqRw~(ET;-&;8M8oTE>tei(*j7g!q&O
zymJ34eVm-7i*gP<=g@d8m|AWDip!xyPjwTQy%_$#S30v({z!C;V=l<qP%r{Pm<SIr
zn8!bAp32qz?@iLoX!f`H%;$tSWqZ{BJ><Xld{(WAXnT8vd`DUIc~$vJtPny;=?Ekd
z2Zus!Q4KX;U1|G1v9vA+;5KcibGK7nO$}ktfB^vQNIB68%p^?g?BP)EfuF-~1X@YJ
z_BRSRKTt~h^L6-b-g!CusSx+Kl~o#Ljq5qwht2?PtBO3h)oA8uF?kW%cF*&pMZ|lt
zVFkiNoyP$jljI_h`VY>4Cglhsynch1mo!mvF}%bl2v3{n^~80<=w`P-VuGMvOj+oy
zA-^IrvO<!`NAT9r<__WcYUeMMk6X_{pDvT$Ur9Fyt^a>T0;I2m-Ksir4t8wG7qq0N
zu8aE+xmUNUP`7X2W`O%ZmxUsgw!`i)bFQiDS#LPsFGSoVEFs^(IpE)FWM`9`mp2cD
z*R!4kLC=%*iYeUaD9V?Egb^M6nvlMm7twD5T@Q>E%JSZbT)9koagUgGez_w4P3TQ%
zMcucynu!pB)6TBgBVNCdSy1pJG=d})6hX~1Ta7h`WcgQS-J6R^ZQW=7=g}nhpeIaG
z&pm>+P|$IS7?#KcnmvT@MED@ahY>}<&X$yxB0Ud+gM2Pd=&oG30#XuURY5SXw;1FM
zgr*s-u%T1T8W6V0`y(MxboqPaeOLL-L3)Up=-x63^h=lAK<Vu4?ag}e<Gsk~R`b%n
zJM=qfvPw$ry}gl8Enr&%|6w8ENpQgM11fN{Ay>kFmCxk<AC+$RnjQkxqIM5Hh*jy&
zs-ziWk+~!OwN}6m!SUe&MS7F8=unaCbz}C?l$#erfCdnR|0@8mt9s|_@8WwFVE#-g
zqn-UkWW?ivfc;9ttMo~v1CxBgNeu)4;u$jrwf(tc_%|Kan9hHBfeV*d=_hrHo6ktK
zro8|ZI&NmPSu?BGRXs8KUO)f)P&8`$YukDgCuxMuzplbg@}`6cd&(7F#aE0Lb^p=}
zF<j<J4uiL^h14^vKm-#6yTiR+tB**z-Frv7jbI-Yo2&Fw#8cm#1k0O{3qPoP<m>7$
zL&RSAI*d=bA>%nTQ>!;6YBSt?vOAodUf?pcypTn2(fPEGl77#3MM}3G{;*XXo!Z5>
zi}c@N1Y6qd<2TJSOG37q7p?}-9^HjokdEW$@!7uxN5G3m=q>R#w54pH2qtLY*lE2*
zZ8Ie{tkN*FSNJxEW{s1<Q%0e-%Uhl)7m=7hchYBQ`P0gLY5s6~4pGCv%wklmxnemE
z%>rVxxW;eoIIRIB@VHGwH*iRRL-ri2C^F47lvn9ZYyKU7@zzCjD2$&F_7pS~+xd<w
zQ|_zm2luiD-gG{ng)2jJ5N({8f`p}_a)p6`p?2#Vegp3H<OPa_l{UHm$xg|$4rp&b
zeta{qJP(J_<n(a+b7m$8wP?z@Lzk(z0|4{`yMzYrBp^?>K|$GpHXKj@wBJIj4$0nO
zN-7rg^$n}CcjPnv?Z)nc1DdLq)+1miP(q1>sG7PBRB5+~g8~0X1z;`1WEfHB=jVu0
z`1j{eRekTH7fIg7W?~no4twrr8Q%Cl`ag1YO<C@I|JMZDO?hr8?SL)j`;Q-J**Q6Y
z_^X;{cp=$XKL&L%jU`0b6^wi!SUGQAqoL`VKL5*)n)10g6PlUhN&8i0lDT+_Q9N0z
z7fvjdK#`0e1t+yHTZK{IYyYXeg98<)XQ1x^4d4$%a50EK?>P+=LE!*85K((B(+ETX
z4-29=;=uwl&c@<^c^R~imk|Mt)Ij%4J;P7ke`d?2&-B%QUmw;J*aBDZDrnX?vjaGK
z(U&5Lq=Kz2+eSV@Zg6G+!iALq&1We!2ze721sU$Y20^>$cmmFTjLn~3;MD&55X2r8
zbOr*Pp7Z38KuJkSRUR$GPga1dWTSox(24usH7!#gkQjgxSu8&0c(W9d!YA>!H;VVy
z_z;|Lx}7S?JvMb^-heXS|0&N2V6!xM3uI4*Z{2_8i4J1*7JI>~6)6^>wSQ%V=#lT?
z+b97X8{CJ(|9bgDsB-l!#5i~L^ycUlgZ_Qb>04;C7TN@_NrF<oH2yoin{XjMySgUp
z_obwG44z3C!G+uS{wAUfXTtx^P=h>r%SiTMf!6YvxPSLv`w2cn08ko-X_fVc`2i%@
z|I$Q43`Q`g`2?DyUsTP1l~E9$=0-T7wm!i_@55%jK;myYHzhout};Y5j60>>hNCD6
zPxr+RyAQi*yZc{5(Ibc6qJh~i;VSan`d>?Brw(tC%XkGz0@|$nZ3NM5UxU~3hRT%P
zFU#@#%Pps`;okV+F8MtkYU+z*Qirs#R+&V;CUw6%gp@rGJvX33daIN~0&cZZ+Zie6
zjfqagW0PMowK4^q29o~As-4(i&;RrYZ{FnOj0Ckfb;umNaKE8seg@u2-xHfcCDgCr
zh(7j+`0DDqIi#X)W*zz;asRp#FpBMh$)eb5oRg;n*sUMHVRXPzMhI!dOau+Vw{KDi
zQJ>_w^XSHn8?~Be(&W<=c|*#Tz5i0(bulV>@rzR)Mwze_5FQZrJK5)atj-EN5lBa%
zm?(7jc?U6~o&x>^{{UDixIny9$gB<}7D_DGpp#Y+ITqsx@s%N-)H2DyXYh<r!U8aW
zaP24nc3mc=9`R$AZH8PZ=<LBonF(LA_Tu~mNo2o%X(Nox!8w>oM1aN=+38@sqhCu|
zr@uMI?{N1kEqeQ~|G)wgX7IHy-2^sgZ_g1GK_e(-X?X{1bXfzB;6Fguz4RNJDF6c~
zVp7rvAPs}w0~B9nG8@n=NXi49+#iZ7X713+5x-;Vr+s@TW3ta~NHwzE?L;AH8*%0#
zJr+P?km7*&&qOp%#HDwBc7n78NUetAd=uai@Fs|E0zF?F+;_4!Lp2A4m8JdTAEo<f
zec9}kuk>Q@Aod;}&Z}sG^3e5(FBEj^Uti6T9uy&XfCBsmnkeGh*jrKoE-^Sbn4X0t
zxMrgoAM8<5Qs@9(r@Zkg;-;pZzKk1ROBwMm&{~1h{Q|ZO1-f4*q@ay)5EfhvB7=jo
z9X`i4G>Gd}J8r-9qKy-vc`tf7^D0j8-oFMrUQcuO&L>BV#49Bg|IR4trUVC_WVoI&
zLrLBncurYgU5-KRk-WXyM8llF$Y&VPW<$$q*`7^BJ`@n$+|EkB)n(vAn(>JH9c|#w
zTmb=}w5Fx=cZCL;PiwZU?}kseQ@@kfl<G&4NCgkTiHn*{Eiyb)G079``kSZ9<Xx8h
zGd(A}KKZgU$-L!#!6NiOG4W$X4&oKH6>(pscoct!)0I*km{FJca4mbEMcZ3@@W)<a
z?qX?NbNVQ<r$s&d!?wh`PHmxSL+SS*E9M|+Q$b{t_4!#lF2jW9UzR*Jt&8F4(}RKn
zk$PAD%?ujGKBXYO&zOa@H6JayF4E^-3(gNy-+j<>)j~)jYX!aj(30&;hwp}y{5^h`
zkS5P;JQ7w?H5S{IEWE{>1}Y;9%a$S9XXngRdlr+yWjZBQbs7#|BC}HavsH3e^?A)f
z#iWkaCSc`DvA?e9nL6^6b;L@EN28I5Q_Al3YTwd@=n7u6GykjMr6c!%%FB?HvL*b<
zWAW|~GNUOn2bvJ@-8J5N(&fnMo%o=^kW1tKibL%)HJ00a&wkB6e-?#iTtGX17h4fC
zAzPW$7Cj`*{tUzDsrl4Ta{(>$ROgr&3-rrN2RV1w?bCiAtGal#=c?qWWj_TwIhl4i
zb=k_GbiP!Edb)a!?n%Pb!Jv|&!QhHPK{6Fh7Uu>^@N73M%FbXU!98JNaMw&C|LD*8
zz(Lif#z>w1Vip#!&<M4$_!;(Jb~Jg+2>}XArjegV+Kfx5J?D|>0;wX`q~b5QnX~SY
zyfW77WosdmLT|xd?_f2axLE&v9MOMS&a&l+!A6GkbNb$v4Zm8Y)NW+~H`MEf2%Z^j
z@;v#)fqbp6W-CgPAKwV3zcm{dASMl3{n6uPS6OXI$}DibHr_tK2^(M5lDsjRgiN8f
znvDHMn5Gq><vn5bn(H;q5#849&nk=^1d22*KipC8QWq{$XEVtS*A68sZFQ;{HgC2p
zo^cdXPES!0?9V103?bpeGf&7SWoFfN%1$8MqbBonCqonBgMa(Iej>h4J#yyGcP>OG
zLr~!SZq{7hPKb~UTVTClJj8w_Yd7q`z0E`1i;lHu<kbM0bWkHP4jWS??Is<rpGtwe
zGHF1Ygv1k^kTxnB|NL_5W(}A77tARqUPTA^ng@6j`+N_|>jfGxoI}~R6tUknJF|{n
zrdT`*ti*v6q8vWd(>-bAYNDy*NX=Imx%~b7`t9t$Vwhe`63GvB4K#C;P4s#rHMbnd
z3d1)#`K+$(wk+1Tt<;cso*$4OuJ%mweLXh3>+pAx=WIdcvO?JGc5996t?stjhJ%}@
zL^5qOzSnI9nl?~1yMs>5qlt=Zgn`=e{;Z{mtf7hKrDt)g<Rkk7;*Zs_)oVy<o-{4k
zo_!Tg7-d&nV`6p=B8hK))4VJ~#;c7UPW|d~fqaUje2U6y{l;-llTu-mQf^!Jlew%X
z#*PLfhJzMcJQS(=+w{DvmnZ3b%Q&TU#h1>A)yO2q>{xm;1y+fv#>ArrWgkZMqwzhZ
zq#@^uYpRHu`F-*GkX&PRu915S|B_cq?tU6yl6fbkPt`_!@79m~(lOp~C!x9cg{oK2
zkBo_F2u8#V8Vpz&IMAMo#tAgs3DRB!D;Olo<{+X2=i5F>`B*#7lDpmo)+9k>_7y6m
z2?~m_QX`ehC{}Z;&&k<oI=fth4W;vsRAK`Yz}qyZ`=kEdh_;}8$tP>O8GWtWt>!L9
z#ll6SiCG27Zgz&{LOJE5+1%qfyyH3C<Jn?!?n6`zFUo4L+J?+E_!ExRToQ6~3DnF9
zR(@S|WInjk_m#crt`&|@apLciOBjEv<A3+zygGBlI9k4|W7TC)7cXnYuF<-DWaolK
zw0}86K7h>Y7sXP9jReK;<;Mdzi=O(Gedi-CWU>9iwiRbBG*q}DJQSPNU(+L&LxkR(
zBfosNL-W$QwY^i#bzL;kHpx)5l;J9ECTh`_`vvN6WUyJ+sV3c445|;*OefCw%S+ci
zs)dzx9siHSsqm<IXOKH`;f_n(|9kYhqJnyRPUz%W>B68_nL0L8e2jU`rxk5{zD(^e
z>*nTpgysrmgPN9VIy8ft>x0_YN6A<U%8i{^0x&7x5FFf(ynf$~TE+qstB(BstYMhU
zB|jmYVX2fhnJDCMxu`bpm8{iziEx7Sfmgp&LgDW=6DceH)bfwYV~-0M*GYxd$fOqB
zH7NO(=kf4EJNMiDn-{7_^9MiV3nb!6qG2gpWS6lDD3dIi9=_;$n1A*{K{j8oecxd{
z{p?R#e{yxg6{C%D({bm8vn=b}-qDA-;!Zk5)cI^QL#7daiF1op<$C5G4ZdM?hJE4;
zwU}$?gHB%pB`;nT9g2Ip-p5C5S_Bd5=}e<akBg?0ul1>u+Opy)N;l1@>0&dm;NkPX
zC^2kS`4o8KQ1ZQJ@(ppd1=`cejnAwlBu}Ns)Yi`vRt_27Eq&{#7`r<j`y`*4YkWv^
z4eO5cb@G~5_f@!-zG6^+#h`S|YV#b#SW&}BsHXkB`7p%{-|rqHn&uV}Rfx}GJTBML
z)=2L5h#5{_E^eR2=v)29uVfxoh4Od${mf0gYm)8GjH;@hFuHX7F7n%T+|pE<G<8Ze
zUfA<$IC5)q%9`ZkFcu}VRt#EA6YzGL^fpiEJRe_IJjuCx`=oF~yli@zSlPk{m(s;z
zRbymQ^7Gjr?=r%#)zuZN6NMK;y9wTF%f5qWf6HZDzR>2cZo3K7?|Y3%lDuhtHYra`
zdWrBP<LJd-JK)R`(p3FqGNk<RCUa;L-tFC(QWR`^ckLIC$n8(K$?HZ=nQxRfy{|ql
zjqs&?iGH@%CxFW}t43-`h?zUd=k0K8R94gGW^P5uYGI}JX<hA;mD+H%w|ZiA($g22
z<|Fsa6R6kj_NI?ou>^73K0gh+N*X@v7?_Y&S&hzXPKNoHD`{HOUq5$Y)4$+PW)nN-
z8MgBR8nt5k=7jU0X!cB(zwpF~;0jjU*`CvnLiF{ptz3uVD)gRbPJs!{_HAdTYc4{S
z0{b(GLLHN$76<$X7c14;1PsMdr9(qPVH@Z^N0c{o^p1PSu^;*3Yzu2kV{&gsaOfsd
zVm4kg7B1$mK>sA2SR6-A?cy@6nyW_nmG$y3{0~_=*;ql>bsSybdvzU24*nuD_n*xv
z6XF`D8T_R?X{R0(V>5tv=xo5iD*ZTH<<G~9(X4g_6h{R^43CZi;YrT>fo1idR3q23
zbX5NuXe-x<2U=}bN<Fl|(DSXB4j+Lrw{781uaEnA_u`J|qy4Z7%&zSVM^?&ya=avg
zy>yxSmCnsXhmrlD(9!o#zdyN8Vn%H~KbCP)BusYh9gD5a5XV-A)mPc3f3BdkIMw^C
z9lKztScky*I{U$Pw{1HG@$hLR-E<?|#_l6qPVrVn{kDj6z6D`OcdD{`n~*73WHh9{
zmDx_R^;L>u@CP!AS5~(dNI)>?E?6&9>n#3V7oDqB>m*BA6d3vQb&9BpLxV+20eJiW
z8`1mEsRk~EW-#)3m$EZ62k}`9N5#jl)^7sJ&eN~^1j49Wi2_hUMn}(m*QOhi5vK!S
zS{}EZc_9XSFf=0;JA_w%q9iH}oF76C?higejLJUeyUA<g6`Ogzxk6>;c_6dhzkhPR
z-6^@3As=TClN$CHX9v3=ftG;u0Xixz3MgpFNLo?X**DB!He|}xD9nT=i`Ql<0Yu_x
zXr4aYl7AodZeD1uf5uk%KkFBG`ha+VK{-%WDauShI+RIoGAY#?T&z=euLE|{C4xA*
zclq>iXA!a8EMAqRNCZMHcSxT+IR-4~@OkhOajHAp!8Zg05i+NS`owRepM_};gIi#|
zTbX(v9ql({p7BC{<nAVPE<mYN9~5S18-gqYe7y>Yso-t}X?R!qj3`AlCp$Zv9=b)4
z)k0|%_cK`V5YH`)b%nQ`@YDfY08S+s(TjTbE?{?W3{}@fA)fW+3u^?OxT3v%Nw1e8
zIB6wv_s=zgz}W_rP+s1h<l_Vs+-x_#cX_X2^%9ZD@7C`e9Ge&934vf&1&0+1q~4j$
z&CRI=@IQgm2sJb`1RgRH7}No_2*nhG>pv6cz!VS^wELZ{P<Q9k0ZjX)Nr!$A^E$re
zlP^B!hfQk;q~Vfdy<J*5BH5guY$7&%n>f{WxL+f(nL-W1Q;tAPfv(;NG*+#i+;y-&
z&cOg(OYbHP^Y~5?7$2uRcOQdvG`Ft0f{ZTO)NW&;p%HkzuU3liL)up|Hg(XVu@LhX
z=;?@g3+PW%AXPje8eqw`V2W>`&_KM}WwQsoG_sE#Jp=P4cm{jt_}D^TX|L<hfyo7&
z@yCM(CLw8uEe1!XZ()DUc&U#Pdi)E$6yrjaI2H?7@C-b+F+u+`glRBcmq{n2sYP05
zFsPSWj&UO~3lC5Unhr{{)Pw->xx(DYg!johEnVK1yu6#j!sDWUXYs*Q2dz6e|2s|3
zW1gz3SJ#+$26B2U!V1#}JBPt^iF?gEAz%+4L7(fDhL7)g;vlD}`1j-c3%96UKV%p-
z&K)z@X1@ylv(oZVMtF}KMjN$2D+dQ4Ou1R7z_=0$u|I-B#{-0t``*$_|0m$H5Gw!#
zi>}xH(B8)6HD55IAu=HhwJmMz?7jnH8aX=PO^5kPm>YZp&3FCzu?0kL4|tI3hOItB
zp`_rrdG~I#_t|mur%&H2roE9VLTHosUb2I|2hldcs|Y~}lavhbKH#B?VVtj^;oSXT
z^8+)?#%zO+8m17agq`oeyx1HF2*}VTYz?<b7iDC`8ARVUxa6Pc=!D8;+yL_ww8){z
zE}Qn!B3`-*>q!yyUYNruTm&;f8d&bY?gIiLqHk(eJKhEwF6_GS@M4=R=j+!85h5+t
z6~@Jy0-lFlK;@zTuGy@gLrn7U^+pVQ5@BA@{c9!|Pk|<1{#C{XPON!w1|WtaScDjm
z&PrbVIE3dB)h3aETmoZ}CM$zEFieDGnx9{uvVlb0^DPixRKM2@kq(<)VZwP<RaR~U
zf2a(s4RAN6FzP{@-)ebp7p&R?K+RcKFEbe#8zcJxzQE6LJ`f))+|=W1CPI4x{RpPc
zrGYFW_qwFnS))wFL^*hR#4SSSb6Wh+0_==1wi&!y*nrF;Bf~c^j@bJ%L;jJRoDt9t
zV0(7^nmIVAc78H_VZT45Q3|@N*y+~&FJHbOUYVDZ)qDsK1alzK4=r{`aiiS9Xcb0z
z_Z6sj)!1tYxdel|lzir-pllk#C>d>j&cjGr#E*&uKVlHp(&_{U@dMZoN<sUZ5DCKK
zr(6CHEmlCD1`Y(|Vro9~mU^!fWS#-!9AmIQf~wlj7So6fMiuDQRDwkuwChtC4@M?o
zAn75_#}d$|B8St#!bwPI0`8MM?J~TY$sQP-tAf!P<dI<54!KY|pA}eR!POJ<=@Yo}
z@qjp9o2-cgdkEs4MogZN6_)xR1qvlbSWi|Xaux`&RqN&B$N`0KK>^0=G&n4fCS3Dq
zQT|O5z}5ii1sW1~w-9OfO-RTr3}5_#?1fAOiSdZ98NEeSNjTR`UZ;l>3+sRa3)@Q4
zk6E*1@8jE8{(gw%9h?JTz(fOq<(uU_k6KXG{%(O<MnX+32W~$g+kGt*BVkI{`e5zo
z^J69woBAUru;PQ8M_FB620TV!O!9RRV@~hy*jpZO1Az^u6A=atbg6>|JxxtYnB}C+
zUk0lHlo(`q6lTv{LCwnf^2L4xWYwTa>x1tUbC68Hv5&0n+qYL;9>ZuA?L`7&OB1u-
zgIQFVwSA(hI-6u?%}Wh4=L9=N`nXZ}p9hvFf_PsC1;xa~T&k>&QS@PO`w6FDwA||2
z1q>mAuM|EQ6BmbFSx*cyx`_S&7@->BV9A4FysD}S2Hnu%d%RZ6x?ecr@s;-9Y}N}f
z)ObQ5B6$gTKrjHJv9Pkj{6=3opIMnUggfE^gp-f~QyDOr0$&r>K}CgDfMk{m78B9W
zA*x_Gf@*6;($dp!v#_92YHMkLJdC}Y2h+{=-Fzb;v%%n$BWK=9c&{0x7oZ5a92OL4
z-Io}|j^;^>jEp84lwj>3IFkh*oEp8A+`}*OK65`n*}>=$;==tX?7|@^D2U7_0Nv{G
zH3=XL;x*uU_6-AJ|G~3P#bt<s8GB<;5G}{c!(l$a^=l@$0pCK^H8(eh;hG8iAMD6>
z0efn@^;^=qc3UR$q8$&M7f=&XcQlJo;4P~=nEDZbO9DCqKjQEt5}hB5!GICR5+IMk
zrioDh2u%wKt}C8D5*bv9iD~})C`Lqk0FowRIsgXu7O<1oY-*!Hz=cU(#77E4#}m%u
zR<y|uPgPaFK?F?5zY3!fe0#LJ7z2LN{`7~U=fX)JK6Jpy`w?hB2qz8ki6kL#mzwlI
zPjPla#b>VOPxBzojh+IT0Ed|o6f8Mni-zf^8Mr-Sx~~-IO`_reaRjCiX8swP5kUkT
zrO}Cr-B1=`v^2jxavt%`z<e55D3AZH%fqxIm?radDk467pe)Rzw#@`QvgRzDuU&Qn
z03(<yqCb3C(zoe;0^bM5a2dg2_SJmoyBCH5I7q=*zPCA@JUTim?)pBI69$if8AS$<
z3iazy8uEYJ>3kfC3Ouy6wBVgoduw9@Uej<O1tI&x0%pNl(iWP*79x29OflSsjVQ3^
z0LVNAb{+;}e^%HSM2_q+cRrB%_j3~@xPgE(BmRGWXd+Egu&zY`U=bL7X2GLlI%xx5
zbg=Ivk2t)4_YUyL>)lUWac|$witUxxLr5ILIzzHQ(pn@$d?m0IaPI6S3mIDi-=eOF
z!SIUNDIgaVVwy)r8GJ2njD>R6AI6_0Dl)^UTFTe2?;yfq{AjpTY!hU^^`zddhk)>U
z!1(SnY*kiPCbHYb14HfT1w2OjOEho6@wc<xP6rlBx8eKZ=@3pZnF{6-iajAIU6zm7
zH$1f=i-3ba1whL4=g*bZ)B<3P5yBeAm!jUj{RYu-mpU97{j01L09lST7Oze}Qax8%
zg|z;7h3%f@s055`gBj=>3`Qp^K9rWmM6wvn{umBst03AS6s9Tf6Dydtq7-su0V7Wv
z{BFb+%*(>SA2JD#CMz#L2P3*!FrbC#^nhXeay2;rXJ{7YYi=?zy@n}-_Z)h1U_L|u
z17zG<aPLEPy9+x9T)m#Dm;y*|b?*CM$=pJ;5%8SBDR+h6Rd@swUf@E~KRO_uRR9yK
z7(9YC@_QDbkwDs7f@+Walm=9LB&ony22wGQSqeDuHcVy9`|hBTBg+QALBZAhn!sT*
zT{Y(ek0~JxvP^)62*=nL#v<XwfJ@Z`{9Ew6Fpmt0v=)RoDCQ%AnGJw{5cf4SL_guX
zA-@m+_!)rR9E=VBh8r$G#Lmat)X%`A_gsvUSSk!<K`Ez$u>d4LKt+cND4$pjaS)Pb
zdwOUmcDDC~)^ke|`E7y&+z{&7YPs1RMt0(v0U^gF35ZFg%K?oEW>B_Za!M6ur(w(;
z8EppHxW%X#=6b@0%=1ZZK%E18@S5<t+{xc{aF406e#y;+A<^d$jJ#IA-XZgPFn<ZN
zsmKpLz`4Y<tzd!)DHyMLl=%KtlVKw`3g8UG01(KP&?mtn05tw;F%kijLdZ{1z^pbT
zV`NH-;MzT8?h+DuNLqrEXX}hDG1&6}PH7eyB0e%x@H)h84Uo_FMw16`nW3SfAx{A7
zj!b>UK(6}oG#3X4M*>WBFl!94;$sJ+pQ$W(P>0W6<gws^VFkhzLMM3Ay8Ssf5W;ps
zi7-YCQ#%5#Tl6NSAE9Uf;=&~$fQ(5Xtpa1AFt6`^u<;mHXLqr;kf$hLJ-2v#9js2j
z<KFwjC@A(v_*dkMgo4}m?!5<W!VSO2f@tW_Nq7$*6hbV(&<&h31fw*V<>1UbzDoaX
zF;Ty|1{Mq45=bdu>`4R^lL-TF3W-9oa6n%FXJLfNjelx)`pE-zfX#@o2R|YKI2FDn
zvaav~q9L|L(ka32EQ3i5IwNB!p@^B~j$Sn>U=_%u-~wcT90;hpMK2!YAOx%J%y(K&
z)sEHWRp=MGM8+r3+MrD|@k8}O8gr!HK&LF=w(~skAg})={MZWUW{Bl+%5{za7RYR*
z;Cka9#{#Q<-%eGgZ;OI7gkUh7e8@jEI9OQ|N<)YZ*&72J`%*zhDR?3wMZk~a44OM7
zo<SUdgayhyxSnC=3q~##n4Tm))wM7;ho42caq}jIf0HjLgCG=w;Pv=%_{qNFhz5)w
zNl2iy^T`txHL_xj@5O`Re#x;~sL<kGJmLcH?d`qp{aZVE6)}V%avfOz97iZ<X*a}N
zIsyKC<S|uD+)oLpM3s=gCnoR%TN2oWA=7{bEpnQM()M>F8dz(VryCmD;}R(d;75A?
o{bo=r>HojPj{Jhqp9?hiS^nv7yh04{V@Rk+(uxlXqzqsEKR86IrvLx|

literal 17372
zcmbt+XFQj0_%;ezB`GbdGBQiDcZyJml-V#Nv+P+Y3Mnhuq_SlTi4>Am_MTDpN=p2X
zyWjuwym($cpU?B+H_G?EzxRDz*Lj}Dc^t<nP~*H39rb={5)u-+v&xDWNJvOS@z36E
z6!;qlgG5&nl2a*X73H;EVrTlDUBWN+)Go{|M=!IGv2P_i;<r^{l1*{z*3+j$3ysa?
zHFwHK?cOO*Zm@NM{Mu<vT|RDsTw(GwQrZgtXY^lap07%rm}7lxpMT~Kz1clG@9c(#
zBTJu8te)^&vu|>35~t4ZR@)*xc~)T?`}C7!cJ&J)PP_5{HgpVZ_|JYtGR1A|ioVJ|
z+t~dq=&9)0{pjfqksk7+PnJI-=SQy~9I!QjULk<uG09GaZLMto{};WoHuRwnJ}N7l
zke<#HuEN0+@!-b~OOn3+{#MIE@85k1-W$>D>mDo~^Ho-E=kmL0eH2;~tyBF=Zk+WA
z;54neOJ4Kw<CBC0brlurojZ4ON2r)J#h$&toq1!qlqZ5Zb+PBb_*7@k%goH6`>b9i
zNv1URS{Dp9I=`N@Yzgx#Y31SJIkrDoQAz29_lC#DQo?5F<HvVeEuO!5^DHk<NW$?)
zP3f(P5|@QT{CWk6#<d|N25)W$;!)TC{v{Q=^^G<yEv?|j*Ly|Qy?REY)7|;cpFba(
zm{7WUm2DT-`6GC(<HjFbD%_o=q@~3@e+z&A{(UPY<t}>qtKtdy`6rkJ4BqwkGe@YL
zwy@wPNli_SmGzFFpP#4je@fq(Cf{g&<4yqQ>733jLz9yMIvF3Ts_slqT9`G*H_j9f
zo{thRJQmaF@w409LU{lAIEfFx7Dip?t0>pL#n>vJJ7+pj?&|S(rPJfjO!2Qje|E95
zHn*i|m5zo;{#tAh)GfNXk6Gfj+{>@WZTiIW^786FeY!r?k%h<0x9%0$nA_ZVl$glI
zuxpp==HJ!t{bizpmFq&BVSztqdcS5|5{wkQ($rIEWp8hPZTwS2O-)Vi?e7;3RQf6y
zNK?_b9*I`tZ0Pc9wW#UsjoBf)PS3@~_1Wx1{~O1Y^z;XgQys4z##OMX@&$VQZWZxQ
zo-jo6>wm=hQPI(vuKZ~CSZ-CiJ>B(KUG{JIBbna;HvMm|2}NsgGcHecKB}%(Fl&5v
z+TQ*+tLO60xyntM;(n(CG)w|xqmN`?C_Q3%s>V6{_Kywcxo3XeH_dvBtZxp!jr%iK
znUJMlyx3*@=<L*~KJ6oNiecs=G5Ep{_4QOfB_(2JpP$NKytv!c)KptX=ekIYCO6|N
zZ5{!`H;UJ<A7b_T#cq}#jl)SsMi%h!;rsUXh=71?Bn|f~>P@Omgh(|sG~~{mqq}zP
z8p-n9U;^C%5e*$3orzLv|GVs`?&V@ltKYw`Z)h-n=R?}zY3x^Wo`G#7GO^Wy?~0&a
zLBRaHossMK?&Oq|Xi?kv)Ixl}y`9~=&d#VEGQUVzSy>yH4XLQ8!o$Nu6A~U37Z;Cv
znB{jfaJp5nAfz=lciPz4Jb(EzrE`iuXLFE0DCyMwJgo5^K_j&sqYAs*w+lY%vn!?`
zaL+x#`A$wI^Lh4ce?upUmzP(pgyRD|@BH7@L9NS|E!M8)q@^Y4=9>|VeN^kkvFkP4
z92^|xmzT%xP_nS`@dZU)@rvGg_>6|Oc1^&}!`o<S#~up4z54g}N}p4&HSOMGKAlGH
z!S1uA_nT!mV{2Kx4^|kdySj>>Nol=s|K&?Ac6N4;jkSrJ-FYA0*oM*v%SjlV4r|LZ
zRXr1OkV@|5`MAAOF1h2c7e;HprfG3)XO;Op*_z^tbAG4CCbhv(bFO@8yQZclj?4Ye
zpVjW(y^DkKIZiT4#`AZs^PCY6FYocav_X51|66#+DIGk#%WA*#_ugVb${j2w(_OEn
zkP}I0S!MbhlsZg3|NP{TlIr_1&Qa5-XfwK-j9XC9{6|}wi<_H};}7kOax-~(Qrn7^
zJ$LThDgXT=L&x<T`-Ysa&1hlo9%Zcj!oq^%8<q`yyrHhHZsgmk#YKma(b1!Pd<ACF
z$$?!3H+BUE21+froYHZv`1DC-z<o|y=)?)vA89W$7oRBzi<I5G^E@?mp+ny`=|Wn|
z_uHT2r4N{!PYfFM-88HAqpGQ`&A;}ZLPb^8b*WJ_?bWNq<m9`n1MZIyGXr%Dr*~-?
z8ukxGPtsiziAl@MRDAiho`JiXML2Fx-RhvXx{HgLYLo!7NWSaRH;G3%dWF<XOiX$O
z7I#!qudmMb<BUfN7^*bKOY4?8qz3aaiSh=YF>V*%OYKiqVI(-rZe!`>%A{jy$@Bgm
z-KiuE`u+P=E?jsr{u=4<acJnfuGhw{6LHQY0goPWNl6{_X=%~u$hl%G{uWP}qV#Cv
z+NG!T3YQ-$B;n-H3JMD9M}6U*7LseTJbCfrMH20c7u!qkZ)W7YJ#_f6Z+E_VK6bDp
zQ`fiZYGPg<!>bB9t<(#;Avx*kheSjok&}yT2ScKwn1+Xk+uGVLuO|D^7YhfUIi;pX
z`~LopiB=`nLPzo7YJn}!@zOY9{@a-)a?P7rK87$i3{<!ygsy#ge%8d?JS;q1Q9*(1
z@#DuPrlzm$h81StObK}X{?65K^9l(TXybQhCE3+udo4P%nVtLW?+0hAZL{ZHT3X8Q
z;~8M=GWC&~f49ZN%uMLkH?`T4(e1x~&NRe|-<n@sJR~NzS5{W`*-5L9(I?F3S66EX
z2NUjWp%gOyNUNZruwf^AA8ABY_4GFO%&hcu>cSoYS*HUv0&~@GH23i9DQalYJNG+A
zWvT8=Zbc?iiOOWYz|A;$`;CO*4_=*2xh$Qfy2FpUa`W8k9cC5!EEg9SxdjByWVC-`
zHgx)EA$(nU|H9Hz#)**La1?U;Frk>n@W{xKsVS>&%F|s@nVEbIDxc3iHf-9mQ^BBn
z{G!ih*~8~Y8$N#?`;w|EI@U){PLB2I{BzmJhz0eHPQq4eGoPsV2D`)RYkst6to<3>
zZ2BC1Lfr93_{A%-yu4F8WXGoRy*Iu7tsf5ErZft}3QHOCwrn3=USgt8K|z5P@6SE#
zhL;rrG8Vt8%f7ZBJ!9lPa}xR0uioVPpPw^|XU>d#`}PsFbh102>-_oiH+u>Kk=9$v
zoNeDY&3sy0n&^Jx$cseR=e_wC$F?KeP!*wx#bVmn*udi7i<5L7nVoH#AO4qVzrHw!
z$~ap#CqqlIMItWb)cx(lqob$f<VaA5k8p6b7TaF&S{r8yVUbobF*#D<zWQzX`&VL5
zZ%=BFAQdCBlTJU}lc`@Ef}%q~yI0Q6?wCp{LzYfM;4Ut{;y)8(V|G8Mbx{)R?CcT&
zGM+x&`>CO!zOiw9<Ih|zYD9QAqlk5nB8reEPXrQbPJM{$x*(9%vw%})T^TQGi@F@^
zHxU}0d7h%BTI|Mpi3gX2hsMOHB5r4AXNk1&`RVa3qN1WiE-!PMx%~P%`AhYLZ$Eo&
zUp{~Chr;#ZT+GMZYw!82d^`y-P^d>7J?syWE}~^TCA`-fuCz?8FfuWnz!7v?p1gwq
z+P!->)|YC>jvcopm}5k3&5-dj4N4iz&CMC9$u~DvEB6Uo&^JU0DkW(Qjg8e{_4!rV
zO-)P^zkYx9>J?7m=+qQ(;-5-73jk^r>NTdSMs=0Dp13v9G>)WygqQarpd0W)t*T%}
z%~*ZdK3OlRvuDrpq1>Gf<6QW7z?OdZ?hj3Ik_h`92SjbcamM-%3e<jBPZ$-8*Yi2k
zpBw-EljSaFzhCnU#*bHIWL)O22Aw%<)tNoM354P@nRMUI$*E|0Nm5KqLr?G1Y=2qw
zNh=~xlXxtAV7fiq7tIy#Lgs_VKuS`dXo@?ls(SeN@yE-{x68}R2>^#P@!|dZEyznF
zBO?}HUj&<)EBjn~e{bQ7s^H^@h|@Q3^4<FO`P#<%nn8)(o&GZCu;}Qs_)Bcf*tc&_
zo<0qzH%U%RB=J|cqnE|W&mWAmWB={*J^&}pjCQ1`mY3?R088h+ykw3aKVJT8<RMO8
zQmX}^TY*()$V9w*2o~%(;AaS{Y)IABtJrN+1N+6Xv-`zPj=VTRdZ^~y>|$+ul=|ws
z+i|Q$pJZ=Ta5GZhqdP!sdRL(p(?ce~kKNtTsORY!8Ap#EmCw>iX|>?y<;|CBzIsf<
z$jD}Gz(RNgn~1mzPDo%SVPRppJ<}7hg>w5b=UIbz&!4(LR3BPXlynO$b|U5{SKQP%
z!%W%R0s0u!)zxvJ?seb%)+9MMCg{CJ)85`*QdX94+0J8AHY4&e_yFZQ91qf8)A`N#
z*3l14SH}8EZ$;LBIFquIl9KYSudi;N2^GL&Xed1@qt&2!{yrroCE_bYO3$Rc<||vS
zlsrE`jUL0|PyyXdSA#4(TCUrQCE1oO;$G`wz7%xT7Q#Zd15!Q3w(1TJLQPFgL=yP?
z?BqkBFl5z$2M?|<eQP8_1<5<!>-UX&J6M~z5<C<DtpVH~A6Ck{{(%~eg}sAAb$xxH
zKMhkds;z~vi>oWj*wydx4<9@j`TjED8&D+0(C~fMZ|`@=KF`a00(8paHp$LNeLC*6
zHZK~6Xf<KmfmnY1qIrBG6h}ZI>79kJ9;fm410q30qQ_>2tE6(U2|8EG&(M)0)Bt98
zBC-&vW>oZ6**|Vt3GFfrhzYMZIdtL#pgC*Ca%ogV1hMN#=kp5->_S3MP$dvO_a8o_
z(aVZN7D42R*^g}9w{M@HpCA3+y~^j$ZwK53ehoyT#hDUw7~6)f;1C;|4=%hlQbR?c
zSD<>T?c0gehVG;#Q}@K7Lx+^r)s<2&wBip)SAoI7sVL@R5)x#gPo7kxXd$XN@c_xm
zhtMGL^=?a$^=83C#>U2W72C2>`&WOt3#9S9ygb&&heVBY7f$x=A8k~4LtriLqeqhf
zHI8s{G8{aprmMRT2MTQk0;fJr>!q@)sxgv10RSV%Rr2!l(db3GvYoT$e1qOn^r#hO
zz%S|i?$7BLGl=ghEiEO$n&Roxx-7OoNDrZYY-^PRsCJ*Lh}!u3XLNG%viU@t{vDz*
zHK6pZ@~OI->$p$Eek$lE(Zp&KJ!)CY<pcaDQ|V%+<M6SO^n=oF;m8SzPEGHzUHfPH
zTwPs>$n2DURDDxqsmChk@slTClp_LV52N`l;URj9YJVEJ8A@dJN_C(gQyax=*Vu`*
z78Q*O3Zf-I>W7C+{LPiOzcWy7Kgfn%eHHgO{_$gZBn!YoBnt<mh3m$~{8<4AScmx`
z`34i2uzE!|Hwi2d9;r=8zSTn5Vf~kVQ@pgQlamO-Ovn9-jj2$8fTEUW{Ein>ebE}J
z<eq=sFQKksrO~sEjC^<~CMGuDZJvPsx9XK<%H<L}0Bm+-nb)Qbd)$6b*Q15KoO_iN
zaO-n|EUUM-_mi-&XfgXk?yIxoOU<(8lPyUE)c^I%<?ZhuyyyidJF*Up);=;v)iN<L
z2?fZLUhR87ROP!ib!AfpyO)-pUj6lJ7*0x_%ffZMd{9n~AX57|%ihcGoO5~fq7_$c
zhc|y-Q<f&NG<<(v%W!*@^ZUbt9e?J>Pt)rc-8_q<ODy{0CtkiQZ)4?sDeO^4joiL-
z00Gqia8-pL)gm7HfXL0nSFZxFTR64E`9__nX>1J6HY{6Qt=x<&FPA#V%)Hh+xN)!5
zV$7e(=<4!h>+*DW7*PG=`1mHkm3=}c+rTR@8M%<!+S(#pDe39$FLRzV`~D>rgu$8M
z{T!ogI@gOyk<FDoJfr|3K6Z9?E-oSPk(1A#Jxhg7nGHb&_=$JD+1-<`o*;u&@5*&!
z&-~u$TCvLKlg^+aoNL~5ldPf_A33(yWo<kvFevDVv~*nO74JBpViE#oWAW@A9Y5R@
z866$n;)7;LTwEMy<I5XIE95%Y+0u#0uGfcSM6B~ZGoTHtYH#0--Wf#?DF9XL+vn)_
zElH<tw5RXJo!*-W4gdJ@00{yG7%ak#8%KdokpED@ks*uQ?%pdhi6V9Q(RP$*IvT#T
zuzJkj;ZQ{PA?`BIhP3GYcj`*{-=DqOmoA;~{Czv#WrV6B{h30agNH<4%hyXfI(ihP
zjb<m%6Yr&^ARz7m+w!X7!HyyWkTn^Xay|muqIEoW<I52|2EjbESQd_rkLz|szA2|q
zQb`@D3EbrY9KyI~k6z@#qdYv-&CQRxx-LI>@Bm#~cvO`B9$`LS-uIoIOh_<*I6)~X
zhk?8DWXmJE#@T+O^6V9}V>@B?nT?yfE-zkI4iLy?JmQiI5(rk3<HU*lrb-}r1v`8D
zwAJ#wK3{se)puKV49(5$@WIMFlHCv^L07J*sMvyTGSSJ&39XK})AU|-sfDf5Zp&AP
z-rbSf_%%A+Q~0p0P5a=%gOdXll7IiKQp)9Yo-l7Zm{@djvAFVYFj5`o`B-Ii8n|j`
zZ6ZM_O?z=N<<ZFWbdXWb#Oqp?_aJDH;`Dy5Jr%Lu4~QV*a^FVUshh06zCOu$Zh)k~
zvOT>i?jQ;F&Um=m|7oKcNP*)qjcU(?sZv_&kX)MmsCJdi6!rS_2;>AG5WS$OS%stS
z^85SCEH7yVVRH0f`5rSPBh_1WNXg-_E=@F>x4qIt!A^8)@5L!YsY;S)W<7S5WD5mt
zuE*T?xanF?YwKerkR{GJ`*!cXXl{Mf2jx)jEz3zuMv}L0->St+tx05`7xpux2teCa
zQnJ?vU}!MdeECQFLwvgs7C|S+s4>4;#;UtWNK!HeER?DbV#mPHkYFjQs^ov4@wZR}
zmGd&*?E(7m%U(Y}pJ=YzJH}76Vpl4?*3mP3?C*~Qf;wT{BmDNytYmU>GB*#;AucXJ
z1WMo~DjJ%@08l_f!+5`MjWPSA-3rDHwr}4aX;)uYS28Z*v2)~%Wp^G2N^j;;zD|~2
z_pANatey6;5iP)n4<BxJ<=!C(H-a@_kqQ9)WFee~BnVivPsT$GJ+mNoV!E$%7aAGk
zN76s<HxxFE9cm5dW_%z~HcIu!Sa^TTvd`OTN?<NNLBU5~zFa`fd$vs3-uMcXAR7Di
z^>sec`8qG6s-OqGb0#GzFYf|bP1CFP9}>f@jAx0C>z0$#+i?*ghM!de6L(OBa=rhb
znbJDeqn~_A_$xiHMAA%nm2dE$@~2M@3?*4REWR-R{;S<kSWm@^&LDs0{KWLn9T8OQ
zeukmZlittIG15kp%bvUA+aQ;Ak8+dz_ixb*2896q-~zb~wRw#ears60Z7dY=*4BoP
z=@q)@s6u5gJlis5bZ<m$@)+ZG&+W$_zT;M{reWWz?6dwlGpulUxSdp@kLJ{Xe|}8j
zi|YUVDm;gE^3`QMy9M7**C*GvNflAw&ij!@ui&$_j#Z1>lJfIz>SH?X8){P)z0dsU
zt3#B13<4E6Mp+cLY3{&xrfA%~Kyb`Ij5|pemHrgQG@7Y#e!a*#Xh*H_stQ=wkAAa3
zfQunAGExZ0l!1YPs6~Qre;q=G^Ff7@SsU9$O+#~||INu=oNAyiUlRq0MM@cztJVv(
zs@B&#Kk_nCYw)C!<6bMd4gZlK;AW8eNNYowjnM@})?yo<N;vYUM)I-C$i$;-15Hqa
zpm-{3%L1HgTlu$WU`fQ{mV2t+zsJ3XEDCIf7SIQkj_4GT*CK0iIDn+UehiQ%YP~#v
zP~5=}Bm+|Wd!mG)t>Ld_Vq`o9+zN8B3b`y>TG51-cz@F<!^@mu^<PX=FQkEic4V>b
z$lOQV7xf&a8&nQ|EpNmpiP6J2|Fp~!j9~e6b-U-998VKxNmCG{5y3oz^w7F^@dL;h
zf~Ww{0Ap}LPwzoY%mK7EslZ_eC7ptDbB~2EOP&F{sT6XMosI3CgFu#!DprGtxnsw2
z2dY+OQ`_noW{GVoqYVXD{uG^Sy!)&;@?ptRlVmiyJQR2WIZ^H6oF928_#`H#p<;DF
z^%09SQtve&@0t%E7LX4++y|^|JmsuuYTA4zsMr;End4mt1_t;p=MtS58ZV7B?a#5|
zyTA&9>!_-#0$~e+Tr<N;a2QL;j*NhI_qK%L=<dV(&>&t#8B%O(bCO>B{af$t=3K8s
zMMZ_TbGb@t`Yn$X%^UALg8PjWw%OC<HVE*QC0|fwilkR)J4H6865i9ZM>(b0fk`1C
zCT440#H+TeA{`rCIF|~<Pb)+2)QJH$wy~2saPZJQRTJ7yoIm19K7RUrphp5WIf)+y
z2O)|TrH{yEE3QphmkUwgV~)hhR-tG`c*-!aUHS)1H3g|cc}t}Nys|QWQRBtAaB-CF
zXoLVCUgF;a?Uy5t(?%2?#=uBT^CLu+<n6df(<nYrfOywmwz%2#QX18NpCcZ+PU_zh
z;QzQyS%{~twJ9zDZ<L<T_1hF@_3m9VOG``eP6}z-*M*|F`S=KS7yW2dRFrAX^3;n9
z4SR{p-V1Cwg4F%}>r1T*7w)19#32`<@Fn$OmUPNRD+hi)K0dyDr9=M+7uN}|br%qF
zt>15}Jv~M$D46r{=(k1dazYrY@y>4$$c*5<^aYHq%-?0LPoF+@<(WPle~o5i{*m{(
zFNbO*WRxnjlgIZ512+KF#LLp{NX;XS%IMg1JCMUSA%Jym6xc$b>f2KtbaCgE6cx9k
z>_^s0NlD>2v4aeJ@PHbSXkmUn5%pubzbp!b@Gd4Mb8#7DX3;^9FoK50OYF(gabNMD
zUZW53rlIC|YI${4N^HT<*eIP|p|4;%k46>iBHXcE??CWJ31c>m-VZCFPL`Ixs*g@g
zP`;bWsoee!L8n`6!yLw?PVo+;4cLh!4ennPvYTfe9aq|!k~KQ+QM_vs4_&08-TWny
zbAB89GYSNtpTGa>TNCGrCJU$_PQsBuJD^#@A|gKEzD+=C`=nfsk*uw)0Y^h2cn2sB
z9=#w|HTA;q>}&|46gcf^PAYHu+}6FqTY@fz<}#o0qGn$e{y9#~UURM<Yg9$ast6<k
zhy@5-0<flAXt}$)yBn$%A?l#ha|PKU4l)DbPwZd$#_y?LYikQbzB`Cmq~7r=?vJLf
zcCTluhTLh*!v=8>^5`B|ZD?efM(i}r?+#K(dbRqx!O#HU5$C4+=Es{No8RTul21R}
zMom4ET{ipX4Ovm;7D`#l%BE08y8V=UMOY=;Sv3^4Etu<MUIz2=?XeQeYsaIT85=u#
zcyk+$hc;|*OZf~2KSX7fm3}LK(DP~ym(RY%T}h*V6K~n{bwWjq2{)t+Xk0m{|7SD#
zbB|4?j%QMTTv66pNRxhsA$Pi%nPlx~e4a}eWg}#!?`^GXx0Iw8m=34%$M^D5g=Vz>
z5UEqYw|+$b65`QGo@~t0wTPUHRXM20kwanIH73MsWD1i@VNP5y&KpAhS;6d%eYK_v
zN%RVAqz<6v<nILeZX-&b!GU6(p?%u!qDUQmBe>B2BgsbpaP{_o_ZC4QXOX$J4>ak=
znog-8f4sm)F3KhJ>~<53EByCuS`2KRpRzbgC>8Sftk5(Tp7jw{Z1L%#d*Mevvd65D
zBrqi8MM+85;@@~__qv9L{Ei0EY@Y#*rxfHz|GnYOk36JL;^G<?#~TQAdgI0owCnTW
zQXu%)21nU?yk)i$jZ*2h{r3Q7nR%>r<_Vr=H|$GFN)k1=w^30MTxEyL+Q*48n%OLN
zN7>uIA7*7hsEx^0@llHvdyFotHTg6RKwIF$hbe|-PC$)T<?F$%P9z8QsZQ=rd>fc^
z3Mz0NkKtuNIaFI}YHBf$U&lbC8h;Gh7akGuclefoQF&dJFD2xS%%vqDB0_nD+VmqR
z4H(~H=pAWZUZ${YiX$WAk@`GNK#<6GidGbf2N%*zz|fTcnJoiyL<=${EyB)zhhPF%
zI<GAK$jIr~cXP19UG$2_0y$a>GXxVOBV%Y(R4uqeXcHWeRL9oWmP9x1_HD6>5_xQT
z4&*;~2DvgMBLZ-PxCYOlWn>g`{$<8$7bLqoZ$1CyU9BSX@bv61cg-Jv{puC>x2Cv;
zOx=7EG54Q*mFtT%;KI-rCtz_FAb{zIh{iN(Yiny<ym%T7^Qd9yz;2KCY&UF2<FufY
zAJW;kh13P=<acywV4~576HO~ByUyI}=;&x7nfZXhei9jJ<~r>#c~I6X7G0ylsZ(p~
zOU+OpNYTawAkXN9G&eMi`tFb+x?7Mh$H6jwEPM5?m(6Tv__wxMCLHNvdb}G1Ca}iP
z%t(FA<6ZAL&GfXpXP$qVAM^;#)22=CU&vq{zlQItMGKLm^ILY4=HTEU!5a|LVy&B-
z+ag-OByAqu61!`oMG8I3_xWuVjP4RVNThM0Kqg3AG%%mh9@IdD`Sdcu>l28KDd{5f
z=6HgD2M>_%zG_482xz4U$_YOhZ@+ZK6xtubgFy`krCbHvBMx$k5Zl2kI5xf1?l5|x
zkYv&K(7~E2-r6KapS^~^-jei5RFqO@wxPYVGuNR*5SSngx>nQ<I1hT>{{F?^8ybAj
z{*w<_q}}M5n3PVRCdZnUl$H`{cEEGh5PiwymsA>p(Y_2y5q%wWzG?}kRP9q&Wpz6g
zx7n*+c-r{wp48m41aNN02fQ~uJv=<>nwz0b#e%d?*3r*m3PzypWMr%{bnb6=;gT-f
z=@m=XyuK}aBiPx9T`?>lL?Ps<M^cLcS*mMS=zhe%?s-{^BsU&)<pl&Av@2lEK-#>v
z^y#B-JY042?&ndUvH<-D?Qe45{{5*BTnIuk84HnlrE+7(#GO8EgLTU&7xf6o*VxxR
z8RTfRhM=6G0~8Vx0*~|iy(^n&oRcs6H6?3R<U5<4Iy9l6FP{*a^;nqtBKYXzCUv2*
zv6K#9Z?qRX-B>MG{Fj_`j0;HvAO$Xh0s?Jyx2#MON4mr9`+?>Rez7&VFD&!4d5$NM
z5O?eJKh{WTrDtSpE2!S`u8KygS6+oycsg5z-LK?(U1U)(hXskrLH|!9ysW%_^yhrG
zDjVNmCMQn|6&xkr&KG~SU&%4-7^@ce@2lBKzg#ZZJ~UY2<W0Yi66`(M5xM<Z$cxO>
zs+k46$>=mfagk;F0Um0$Ke1W7fK&(0lRZCP`rFstN;%Sy+MoVh0zP3SxoxDl`wcZ7
zWEi*5&oI&mr&z21ml$ohsX{+~+ok8Oq|+n+?|VhVamlU4EN05Hfv<_|Yk%sjPv16c
zN`*y14Z~|hf*iT`n51+k*`HJL4l}U;P!`G44zk@)aS)vMutaE%UoCZ^90vpkb3oDt
zGfe`rrwQ-~pyl>t%N;bnJ;~F9CFDN(yvlu4GVDcJQ0#2z%dGAIV=qFjwg0_*gJ@(y
z@7uV3HW9K1;re#tx0Oz|!Hu;wB9hPn*x$N!Dy6k6dHM})b_*Zv6Q>3uDRMT<k{y8%
zF+F{Az+>qgr+WNnXys}E=p-tsPb$~P1%p_m_eZFhx<V3QLstwm4#{@m{zQ>c2{&8r
zm6@RBJOkc}7m!w?`pK1TYy^;vNI>DjIKWTppnLAzxwyFmkHxd#yY9mU@hSW$o?4Fu
z{PlJ4UIZ3r^<HmvV`u2v@gSdV?yjSeI`qiTvmfOQ3=FvW`N<RCyxC7uVRU6;Z=s&y
zOLB%idnn|JZTk0uGyrE683{uQWb=cdEkLECh3P1vwX;H`TSYnBcE6X%IqFBRW8zFo
zFk9e?u6VBOM&d}llw(9RBx7SHEG|Q&O$oBiU|^Nco*k}xd>9nXe8T2BB?JewV}8ZO
zqDDqWkxSoK+}u`Y>E6|caUG9V>nNp9-LJQLf2o(vQYbOEX$og1qRWseGAwKtfoQ>w
z6MYfE_GRfj1OY?>DH0$QB80fxGB-qRbW*o(3j=o%I(yvtOLL{0#Zy!Fth#qS_?mRA
z@l6iSzRp!=etI7;3=6-fa`fNMwWWoPPnFHRjln-<O$&#WLQKZ$9_wVxr56Tl)uJ<r
zC+UnV%07eQ8PQ)T_l(iJ@=BER=7)|5^bILtB&DrA+cz9z^m&6TKnFx9`}A34xt-FK
z7~|-9!|)$VE&9w{(r)?Q|H7U95nJnmzfDpZ&3N~J(}_H}Q$d)Sfvuy(4DpH1`(G3U
zpCPNkO88c56QL)36hF6f)eZAw{ued-gSQ5pv^bb(>a5)N53?k<D*IekZ5Rkmp#2d2
z-$(qn1{4<jpxaGe=<bIH-Ni<Foj-eHsC5s6bML?BV#Gb$oJfw`EOvxVtd;wSTxOc7
zAonMqyC(l0q4OMB&9i5YTZ2h2Z0{njD6zp6W0PB0tl2m|5^rDQ7)J8CsA!ATmgg_N
z{P!1+@fYuU6WPcY1^&B60M~qD**2RsboU>0D(yD)A$kxH0B?Vd(D3k1Ijs=*pYS~N
zmwCsiYhJiejoesW?z)83ndem6d1j9K?X}Qln!NHd`VliTXVMG!2o#SS=&C206DFYP
z6iJz(JL2U%EG{06q^jp7gSH&{14u;E-^<@CX_(7)xg0P_@c&})@7?Hdm;dy=>!6f_
zm?a~LURzU>)CWLjeyFO?vD5HXyCn(iCJ<0e`%3JkR{L%NBRvie*PbgCl&$@SV>-fD
zC;bnxC09+4?OG8%efqSRxHu__Gs!DdkXvewj)mh>fCz{YczH;O+VbfW-=m4~@r8w2
zRxJaA&j4G5l54xnVGx}m>r$L!7$=$-MIgHXiq~Z%3(L#TAwc?ot74?~=Qt?v)j~M3
z!w=y=7=)zog#d_`LmchxhtpohlU?o3Gj*)4H4C@2Ko#*0eO1~0W<TNfE29bR$kHF3
znQ4TyLQv$O8jV4f!hQnwbuXdgzHywwdLKf%B-9rIOMQ;^MKUENCEZFvq1W_MC*ua_
zIT9HenWv3TLUzn8H0N{ts|$Me1Oir@Obf_CYX+ri0$~B0bDwkzMQChn(Ea<A8j{<E
zOzP;tTkj91fcgVjq8XVQ+hvTUex;r6)@&^lo#}eiJNxvdW9@R^>>;6}J(?xkN;GW$
z=uF%8^oa2(Acq#%P9$nGw0UOBm(FLjcXG$Z-1(E!@XU`kpQwZOjnlINnffZd@`a;p
zKfh#g`q6jFk<~<!{b>`Ji;ubbuY5c^>(lkbT;Fc--jVK9jcxWzIJF#<%{}yI`?>nz
zVTcLY8jwZaPx@UcF}>^Gxju<c6u#Riye02o>gvp1(|DS!rlW7YD#LIF7i_cNg`b}c
z-cm40akiBp8cNcXeY$*gJlSNa9-Oc?#0nXlq@s6kN#7C9)Hb^l_)nAye;)dBu)Ig%
zi_yO`c?t1mw6&j<syEcy#-Co41|Mk6bDr6&Z1m(`am_eHdR@@tl)SaivhTkb&wj8q
zpu%pE^pQwt`QX3jyol%EnxT+iWO<dA`>%L{QTlmgUgRHq`WlL#W|IzeP%}7p|BL8D
z_>Sv#zGlqqu7XczEH<6MW!yKM4K&iyde3ylqY7(JF!U*Bg7b(7`vo9R2zQ>pmxn=#
zABO$`D_N3GhW+i^V}OkxdV72CU9w}=Q>u#Jk;KPz(DsWJ4hO?@9(kTkzXTzq0T-=7
ze-*PE@)>_^-CG25YdhiJ0VUjB<}66~Q%p^dU#s3~<hgPY#F6#ozmC-9bPw_gkm=W-
z-$2q`=`D-nd-%|yyIy~PzxLj=EiRhvEq+9FK&7|LDR!`^p<zeGL;w^00BDG#yu2B=
zWWv&lB<nm*WI9dtkd^noCnqv%mnax9__n}=ksRAgtF686q;CaeDiOCG^-&%2P-Bd!
zIl_wYprIi`)i4#8fi4IsKnOev;6R{GM&axS1Kv~$vOn_GPPzkz+pcxO1O*xrUcxOy
z=xSim)Y8=rgqaYM3JsH`?X7dl%83A~Bw~`1qmURXD`g>uM&5FDaXAL5MrM8f6j4G!
z1Z8^5ck(1MF`CO=OaFHYWFh(pS+;Tiob7J_BT)+f>ZyCQ*Ln(W#7etI!ntP$MTl5D
z2#pOe%Mkest|+w_kzm3S0KZ>DDMAtXC`-p`GwV^qGiP$+lO}Nm#Bo`;KfNfB32!L2
zLkYIqnciZ;=mK&Exg*%ucMBv5v@3V;3G9u%lhZfkv04jZ21Z7|va+%)!QtOxf9{%V
z%*>Rtqs$=p{NwisUKLtI<eYw?B@~OVU-O&dbijS0EBKJU(r;%y=hro7IpNDaotMPz
zSMs5rE3ATga%F09)<H6dzFG$H%9~R(G|5rMNX<SSiBs<|zcoQadE>Or#BPNy4k~&{
zQ;`E_wTn|ZSB_~%k>$=tjb_TmZ@g^I5P4R|pS7N|^t7Ho?MbkMKYj3dgjp&}%?YQY
zFZ#BIeE9gJ?2ne-#;>iPK2^(l>fLl>f5g{c`#9W#B(nC%Qq2TqonRT&w@RQx9w&FE
zj;!;;y*s1oD38r;hPSQci|eGkACuYY;IQVhWY2T){L?nQ0u^$-2(m2d0v?X`lV?6z
zGD>Z(9G~58`!U@&O>O@dmL2zFOtuHnkGx<fy`FQssf~7x^5plIC8Dm<YnHNk51W#^
zDj&zHaQL6xPrW;PETg>sqU)2a`H?5pVK@6))9Dx^c`p|o-od4$<RuZ-+#S2$jpEJM
z?m==}E;@lHTnYhGM@X-~4B|XN?jDuYB=Io0k)AP4Y3)(kjyOpr2lK>zDgyG~Ik+4B
zzij31-@zgNH2qWBmlC_AGwLB<0<Y)umIgLGkGpk!Q%1cgU3$T?gF$vv?pd+LStV~l
zvhrAsG)8XH4+(oNUX)DC$u@jQt3|ihN-m|iTGC-xx<HO+jzIHhS{jKzwf6qr4vuW~
zi$^V(r@V5G_dQuEJR&z8F67ACR5qAYvKjO0w@h$vWaaUZA)O}j^LK4#yd_&qwi=tx
z+}AqCQ9Hu0Hu0vvyrVOE<2=W6uA0YBJmR_TK1lja7Lm#k{w+cyQt$3Q@^%Va0kL0+
zOY<+Iy${eD@msC3+uKoANKW>@8`^Fueeid(Q*q5sRr!f+F@vu>|6W_V`BSF5@LX6`
z6%9qR&jYewtG8N)Wdb}PfCS#-X})jEddH~w)TEuVEZG#-y9!qMhsyew%pDonoK%K)
z-TfKJI=^kw_X263cudjoj;|t#=lZuq@MuW*yl`3>>A2SD(!(1hl4U@0Y}w~o&;?7q
zADWk<5;OP|F6jm-neGf9m%Ao$TDP9jNbS(-m<Zzs-SCL0q_38CPA#K1Tar7b<mPC1
ze+c!W<#}i+yVv-VeC?m(ANk}tR$bdc?bV+aTQ{BYYguPh?!8iGy72ZxU9V%9kdA^Y
zOQt8w6Q}p3tX5oq-3m$<Z^f`7ship<wWc@Q8mj0iS+q|)P`}lAbn>s23yF(G(v_i{
zM(YUPNki||gG}%Caf>P_=p2vMjeef`GW2PzqWt+i_tK@7BgFmQxPSdvx-V<==WrU&
z3%pyHx!}-VCMEYPT;UI7XGqFcENF*1_ig9jlBG36c}|DV<Y1wrspxsFg#70kJ}Eo2
zBj1I%(mM$T{W6~sp)JN!k+y|+ioIeh_dhYrAA8){TK()vlilrhVue1VX=|B{pE%gX
zBc7!{zWtSRm-gk)$7_ws7p}^NHyT=QIs^`eo4w!BeAiY?n^EDRja{v_hRATGQ?Y^%
zdfJQX@>523-)U>C?}fVGG>kqcJUnP(FU{zaPZ2BKUa+)0GQ3UjQ;O(gt&%4x{jy^#
z{qkGCdDVQG?Jn6GRNz?p^Ttw4q31XCY~Shp`8jjTOS-c^gR*#c(Oq=d*%6e{zdSQr
zO21@p?cA|zqeZH^qg@wPlM>5&p?7{2OjZw!o_CpYSoraGZ&)+OLS5-i8{0X51wA%L
zM^9>lzg7H+KP&HF>JZR8Y-8lcRI+4f!Avf}Rq}VPuxhvisJYt@_i~fDwjLXI?zRD6
zf)vZyr<DiJZi+W-T0cxt52chS{M50#CrU)qv2sUwqlja`#}pB{y4=CHm$=z}b@b;e
zktrI4ky`f$9_)<yW<x>pVz56X_6Z5q4t5)P*wCMe{b&>W;q|Am)k^zUnPgY)A$Gs4
zJ~u5ce=x<=|BZqC=Z~lZ(SUJ?kvSGsOc*po^24g8>*cgCa$3Z8;4>P*OkK33eR-&D
z1TTnz1EOMs@5<hF2-6N%(S{O8p74hk6bJ)-yUrAL1_TBU&v|c3a;e8>u9j2#E7+Vw
z##Yn%v;Mk4e)*(T$1%GhIl`ni;PuCv_?}(rZ31$|UVq)*IL|fl=9E`cvU<EjIa>Jn
z^Tovs9m3GyvC@7i)2QMZlrIvvCxC+CnOj_1f&>4stSl=!@>eH$BUH3`cEe>8>^5)@
z7F&>c>FLwPhmRKO1$W=HSzfIGZ?+p=BRK2yqsV-8GE&hK=QDpEE2<qdE!49XUBM-|
zJ7?JUXYl~P_07$-{r!I_E}D5llt!1lJllVO=px&1+#v=>>gtpmjG=PC^xXR5+{|?|
z*j5k9cyu{<z)VDxO$>}c&LO&D&}j!&1k)9g5_5AyVf?7BuAUw_1#iw1=;H*2iSg!6
z)8@fPAHguu`0Qlaw@Me$<an%V!(6cRx+^o7N7w;`_xEO}J=f-`Z))O%Yyz4ircxBI
z1aAu@_wVRy4cBMk;-r8B63Se58jHVzJVq;;;rOA;Y<Yu?gn1U)Itg@*(V_WX>tqz=
z@W_tYokoz6Q0@f;1Yj55f@z0)pd}B^4G&kLNp^p4CFA&m5q{;XO|jyl>xJ28Kplce
z9wk~a$D<^C1|^{&Gmpb+i?w}+SrR-VRMO)`0^~lG8!I^&`JqJTVz4%JU>Zu#HK>(p
zaT4tvsU)G{;Wc;3X<!e!lch>J)bBiK3J*u5_t?OvX$M-uZ2;CS9{l!e5SPDKrfNYh
zDxEn)0nTS=BEg$eLgE=QR|IbOOP0Rq_3PIILPE?ib+SCu+xg=pB<XOKKdzFnz3@c*
zRh!L!xk@o@D>d!Flu(iTQdV%yu;|JIij6M=ErYkwsle^r4Eh@*3&)%XT)7Yu#x05R
zFnT;FwCc=*nVon5&((g)cL*KmWHfM`OD)zN*4eZp+z%WaAB28hw~B~}h?Vht1|_NM
z4I>F;Z$87zKiMFH0e9*Z+gMLsAR)|8a2$xtRp0IDu)<=(<VCC%`aVJ?$4(N90XEph
z-F@_X_w$aERxOk-VCkS&*p^|b;iIgtM$C2*rkcigCPJ@0|2W~*OJG3dGdvBO6+uVR
z?i2EZiB>-=9%}XinlLSZe4GU1?_R{C|5=?g$M{O0Q_PBvZzBeVuxOy@Tk_4-DYhR}
zh8G+Aje8$=Teg6Xm#Nci3a7Fe6nCkWHZ5RnY^(R<goI}JCe<1uJ9M8&a&g@sZ-~;j
z`L$Qli4UR!{-A}il9Wd>Di8~@E;N|>`}=!f1PN#C)}ZI=&OLk1n3-`7dMwewAr6x4
zO;aPE=oh$Q#r|V=B2+$vsmnmOJIQ+~y9Q<>Fx!lUJ#MUqcno9As7&6LASRC>3Gi1o
zzybxCQZ!BfR*rvx-2PWDUVL=On1(__@(Wf_(CVz)XlO>E3jonpS*|>P@q&S#UJmVR
zH1q~U#X3f*2m>2T%=yq6VDHP)QO6k2Oi$rq9-apv*YjYDCs=5BP%uyg+578{;($F&
zO!*eAhu*GzI{<?v;n;(={_FQ|Ay{MZ7nv7`{#(*%dI$>qF!VRVunMm735L_qEF+5Y
zf2_x$)gWA5V5%_;15!Z~dxfqVbQcu#`}nw?b*QYca5%<~=wS_n_Y}0=c%$gx5m?!f
zk{6r3H@@;Xl8jAE5Z*6|+mk-$UmByOhaCUUE><4C?}S-bqsJkuFp?W=FulWX3|c#n
zw#&A+C>S|66o#b)oR@sC^BL_Y5XzX~smE$PLf$GU2nWp~gl2+p;1eSf7~QZbbi?S}
zcNnbD=fisrv#YX-$_R+{Z>dp6@WO_{OqtPc3=&iHI>Evs9TL_IxT0J}0=ZxrL$3PB
zQ;1E3UcHGK4KWzmuo1Ch_IEECx%v|t34F8A2{JFxfXY00e+Mfkx{(C0-}OT3FJPF5
zL1-RY%q@_&Fp^|lP>0zL^F@>hLAXpcwYB{~%|p(-21W;SZ5q0|HzM><2Vm!dZY8{*
z4ii&^E)^U583T8Orya5@h6eOfS=<kkI>bSY=OgH+>!l~&H#Rm3MSXa-vG54|_`b9G
zW{rgM*ETvkYqR2p&s>I*i?Kgg_O*E;Qm3lm*2aZ}dLlM`%1Bs9VX2UZkkj$9IPOF%
zs6VqM4>gWYH_wmIzhQG+z?OnfB4)hWt~bhNjEr0tFerIPgb;EjVcdYk66q%3?V^|A
zPf>WM5``1y=<_x<*`{7_u2JUd(KKE?)>7_z3xhZBVHB|#C>O_?;;|ZJw<7(+{-={x
zI{=xK3!_168q4$ZY$s3d_QCWOYDT7B1N3vuB@xw~<kzoXmw&*nmFp%ALHzn`Unyu^
zdS+%+)E5|#Kq<u_6G-uVJ%0G2$HvBvVSpy&pm;UXBfNu=RIl)~NMZV^d%%TZvcdvZ
zA8GfWWB3lNzr(Ft{Dqg7_GrRCF5x_@26s1>ps?Hv6%@gYbcu$T@6L5P^QPD&_>&Qs
zXiLu_U1~_`q-gW-%R8iSaB@0e_hHBUM95xX$YIq-P1ZCp2!fmc`STh9PM@B;w8>ZQ
z!wZ_{x@3msN4D()>qV3;xCC+ATI5T_1RiS*`pi?|8w`YKiQM0Jt63V<atypK4SW3x
zr@=dbFUBYlaa5sUnn3<iOORnsy>QmWrR3s-A0c>YrkugitAWL?0cX9d#Qt!;dGia{
zcQAzp8}-cyJ>-_|BI^S<2J62@AE8kC5_=Cz{t(^|xsr;SI!}e41Xk5|U=UE25+E*s
z*gS=jMA)SWavVkk3@5U}r=5XnS3LNo(%Ty&n8Y<#j~#RWd6PIesHfJ2YeF!C05a_n
zFi^(m0!Av}DA>7gUp?kZG}E*RxA&DRS2Eg+ZB1C}98o}vmPh~K6By_K6F|(m;^{cx
zG_ou_C}!sazMn{d8SS(zQhS}9oe6M=&wWSSf#50BlZJLm1e=!DDHuUODZIp-D2ntx
zR9N_qr})H;`Ol<02C>J$!UB2M7%3P*Xb0<+-pm#ukS&N6B*0Uc<G~F-puS<^5|-3b
zc$fGMtvW7TzFY@-69;b;?hkn1H8C#&$%U|+g7YZ&K|78Aw7m6nSLHnk7>1h=vqGC2
zf3tKb+XggCFhd4ywRq4=5<B3uP}WyxatJ;G%t8nHVRSkZ5Su8k|7Uc%^|^u3^%qEj
zcxDHTkGMVRed{R+?&^|bQ-klor4vSbnVHYIx&1B-UzbD<@PJ<!gGSi{bPt{81{!g!
z_>2EiU*lz9tIh_zdk917mSY$!7;qV-BOy{^FE+Gn^c?3d!o&t>2ODm#?ciIt=0EjZ
z2?i_E!&q~~l+K*-`1m-~VSm(%L??=kl>vFj?_W3wt2cu8N5xWoZS8$v6+OqIH}ory
zUGaUT81As@6o3IJ5JP>Ek_S>+3EOK(NC-S9`C#d=5-<e7NCpB7xn3@#T~EaFH>xEu
zj)GC?t6-C$xgc2*)f;lTLAlFgqF8{-4nzGX<}xr)2vRBu`xY5!g*hw^<W=C0t*_#~
zF5n104hwrv6moowh<+S9_%_2ZkpLM?9<xza9hpfGlZg2!3{1_VT0g-=A9CB?<JT4A
z&V?a!5MyLGG=vWTw`hU&!N_Hp9GG>+EN8pDRoI?@Tq}J2IM_E3io?^>YB)VW38NTZ
zA&@(q^6{?U_Tf&j1rE%KFnqNvBo@GFMvu7Bz3t4F;%AaHa#8r9nYm#0iWqZ&af5)a
z$W??}7z1ORVT89AnMM(88EDbhv6bgyL=ZuN(4)TqJN=yQJ_Wl!(H~(}1DNI+VadXL
z9P#ahpopYL%xj}lk@~y*73PI|PoKiR7^B9C!~{nxVXzK5AR0o@;G8YpZaEI@a(Zml
zO^z6$20TQ|MC8fr>}-s_`l6zunIJL@Jn%2jP{hU_M9%!-7XXDDWFUb7(Ks|T@1`b)
zl>lQLLRKAo&qQs{!?jFEXc%TCUNDlQU9gxFQwWzU+#KT~@1B489z_I;jD&*Xo_Znh
zKb?fA;;1PMJ9iS>21O5egE(EFQ|s#L-rW@GlzfYk#T%{3<S+-D*FWKai6Zzue9RPY
zdld{0+_<x??Azp|GE&?c(AIbOL17srX4g;xpqc=34h4%23=u5jO%VWA<F#WVF^zj6
zkCBlPBVH#@o`foc`Ed;H05@P<fbdG8_+VaobZ+huOjxg9zjo}H#jF4m90hzv<t0t;
ziY}x9?S0HE861!FtvAWr8jXJinHpr*BfAd2zfb(a0GW+n#?VA`=2l=i#ctOTMiuze
z=k$0Kx}Ize$aTl@;y`RdJlVy_sE9<0Aq_M&1Y#x}p(s6oYx4gl>`Zj+ns18S!k{u?
z=tOZLrfOehX4bT}?)0r9#%$N%x+Gw7Qc@D(l>m^*g;N3dsD=LobHgaT#{eK<DEI}{
zlD|+~OpN&51BAGYb`m<*X$*$7Tk?-`M%C(*sLod`e^DhyWTTAS0-;pjf-Wr4nfY%7
z86yeAxGF(16L_s9X^W5Hbew=6pXs6Lc+8KNm-jh1e;pqmKDnO`AqKyLM1v;`hnPQ4
z%g!$1JMFb52Kg0yuc@dUCKEuC14Izmz$hO%5fB9~B)ALVQyCf>^1&T3AlmdJBdU1@
zzv@6Q3!~y~H^vDU%fA^dN26j)6XWF4QuuPLlVBvvWwD-%m|=k?n3F2=-xMR^<^irX
z!*7LvV)y=mH$yU2SYfW81vNA}LJ~lK0kpa~`_bp?OZ6~}I$0O@o2{H?IvvLG-!Hi^
pIer?y@}h&7`uV?q<;9wJ<lj-pdK111{MHVVv!~B1W-DC1`#(-TfYJZ}

diff --git a/development/_images/sphx_glr_2_parego_001.png b/development/_images/sphx_glr_2_parego_001.png
index 5012923082d43971336367894ca3bfa3970a7039..a01889f54a9829977c95335868179b7fab9ede0a 100644
GIT binary patch
literal 22097
zcmdqJWk6M3*Dkz3Fc3shKtR9%q*FQ-5jRLmr${%_4HgC<3IZajfOJVWf`D{)gS2$_
z8B6cydG7mt-}9aC{5?OmxNGgX<{WdxbzNh=l9!bvz$3>)5QG48_qHN}V0$A7*67LO
z@CtX^;7|C&Z!e){f8W~3-bv5a5RuWdx3RFcw=jKp+0oF}&eYn9i<O_1gZZ+Fy}gZ{
z02`a-zdyigZEMWdLAH1WE^^A|uDTt95bB{1tVGcSQv^{i!`!~9<Q%au<l-D;IJ~*S
zg$ZYEeSY;l_H#u8rj#eCU-{{;5`LcW^FD*k8uKLM3E!L$-pMyHPd_(b_B|8hhxcZ5
zHAcRV?5)JxaqQ2xJ~6ZS_J*``*Bu<TnVOjR=E#KK*ztUGtv1dnou+)frmk<kj3h|!
zq7Mvbl(#X875*Y!zQ{><YJAcgo_PBFzxO0Yidp^ZZMvX3m(yp?s5FGIaO+j#L<%@0
zYnb!9tj2wj3I7roN0VQ^86Ta!y^xd;WxKbhE$ir*hrS~d&Z9iPhn?txEu@VgBRn3v
z_T1*(_X-OO`->b>rkcVNT11buMm)A6Z;6Yi#QOwYmzyh`j=Ha<6(Qg-r$oD?u+Hym
z-jl8!T%xM}H9LD_(5?j&xVtg0nzlp`V{`?<PE>q)oIo*@RhtI0HR4r1*PWK4s^cON
z?Y{czj^9OvPd)a0m+D(uRBdcB1*Oy8k4LZN|D2ktH_NTJn7WFOw2U5kAWA6|Rs}Z$
z-$z8G_GKHV7`H?vYv!llx^=6w(9YOnd+Y^mls;$J4Y=>py~Sd)fxNUQPoCr$HIZZ5
zU!A{hzf`)#C?KG5^X5(TEfN-upYDrr=k`MmJ($26KeCAup<;tNBI9tcqrH*2!NP2~
zvVE7b>a3jCZjfvQ-&jaXv1tcg*gZNH&AfXpLTi5H+-7mDt@4IOMmj5Q0aU^ox#m6H
z=uZt;<|jEW^e3xkMA6AbF&7W9Vgzh|zMShyxsGvNES!#rw(HL^wc5FaxStmGMv}We
ziNB!1ILvo<t+j||Xj+#lJB@hcudc1-TJ&)qtOR&<CM&1ha9(~8I&ImTd6U|G`7zzS
z4>2j}MN*F*J%S~8U*xp3i2rh9uB!un!~s@{fs5;YfbixA_?_6<js)}i_YCBMj;XF&
zi!7MAzU+j!N)C7Z8oxG&9_@rMF5|h*r2DQ5xji|S13U{u#j5Y#y;EH;<mBYE-~6Q>
zs;{c;5WIHiN5*B4tHJHEYA`uDS!b3TGGDsjSbY4<r9`WtBGb)ZeH!^zkvg6`hTPV}
zT7<&uZ(%G6E^AY>pI%V4FXWG;j~pFt1;(AB6nH<sk1U@*jwn5@_9dkV^n+U`Gj5LH
zcta^@#H^Xum<S7dj)>^tB~j18AI;5<F0!7UWo_x&f)hRzRyO>sb?o6yHDE|fw)<s!
zi(C&MKJ?2rZYjD%E#h8q?%cUC_k)bG-TJo%%sM3n-}kyQbVp2j(j(sm1x*N*nRPLW
z2XYwJzh^p(h#$hQV&}0MG`Y(;J~5#!V(l{Q)|sf_L!-aDKFhk~(Zt<zF;dXU@z8y$
zkqo}&FxNSfO5yD_LB#IO$o-%K=}J+R%gV|khu<~pNlyz9*}dye&aHU&?#t|<jPk=|
zKR^79#UV{yuLFlyJ+lM(8AL=x5uy}6pNN@MOn$t*!ig^qcI+^WPNJWmpQ3I;!BDZ&
z{Q7K%D;TtP&G|D_LTYK6`Q66R9*)(~c8i0B8pV!j4QT}mv3CmHhhLX$JtY*GS+!dl
zE_K*m9%D*BhrG5qbx|z%qo7l|MxI5Iw>KgoDVd_2qS9PPn4*%_j+z*_0$4)+XxJ}O
zCC%|%7A+C{vFq#hELsKfr%73vH%jHAMLhcY-%trNV$8adm0#7u+NQxkq!>%~U12gp
zYhyou25X2Ebz11(_!=a}nsy{LQhXOSu$`aoJFv-_9$hb%HDRn6W*jj@IXU&gdi2r0
zWd5*g3e0UR@36Bt2L}fpK7QwTweQBT+fuNJZpqd?#)wnQ7_Z%q=o@C8iHaiw+7lyS
z6e?FMEC&m+w4~FtG`w8YnM0(6sgc*$5bWibFp>0pd}^;=y~4x8v!&84ab6)7F4rk_
z#XEgEXvnI^8|xVBKwb`&1jejCCy8cu^xM<szB&n**BSScn@^9^vd%jG>Rov~$J`KH
z=H&8zgCA>D(GLq}^c;z=1o+cJzgJ2H@9S!*z1*u?$|v3k<~*#%^Vk}4qNQT<tjkkL
z(+G@%nG5C7F0xlR*xlgvI&=?}ZcS0m=ze_cL<HBnr%#`vmJ+H7-Z*_dHe?Q_N$536
zciFlfc18RQ`b$qw5Oy<Vlza}iE>m|JatM`;7D+3#o1U9X$>`=CakrDm;4trIh8a*8
zDst#JMko~X>=_Q&r7YN0Zg-kyg57j8Ch#M#b^4DVcblR`b@lZ0z+;3IIm~}CYWg@^
zO{&}ZfkVGD-&)uIB1dK61!?fybg~g@hS8$z?5zt+lte_I;gT%6Wm@3el$4a-_vf0c
zE(iu9%bx4#ETf+HXn$HXI3(mtEtT87rShXP9rqQ9A<w-9)qV1|wl?@eD0tD>U?x?w
z%4ergXJWrN$X~iW?%VA6`0-=cy@h<kEVcE~r-WwTU!LnPamkLWln4oB(@o#scNgCI
z8KjZ<;IUQtfurS6(Z=f@BsDSFc?rx#8a7n>_gCk+AAWzSNZNfIL1TM@FT`=NjZY`e
zB1lEcSp*9~_VKa)4^J}B-=*cdbS6^BMG+?G*SAxM7y(?XIa)Nshk&BqVzZ@;9s2=o
z1iTM>I*Roef+$sF>DP7^Jkpm79Xp3pA$1arN@<&rUPx%LstZB9ncjtkCH3~IO>Y&5
zUPV-HwHb~qFWX>WhOEj@lyGFV<@5-eaQOXSCma<_22&*T+}9F1YZbX{--l_+Hxci!
zq8DB+XdJ}$*T|8sBKg%?XWw(ynNwI2{ePlF@yW+lw-6izp>n#?@<sRSYOpP<W)-Op
z{^RQ%b~oI|&csJFbhD}N6umWGvxzTzjE+i(mG0{8h8joJphS7&lY@5a5nTJ+ukgCQ
zW(^UaKQ}(B=<%eE9lxqWqEjg>EbR5mm-2V+_*7O^32UE$o77pMD!(c*mZ2BtR!KcF
zvW~dM|8fr>kJ`QWNY3NSFZZG%EaWg&&*0@0{``!sMRVpGtJ7Zex6v``Oc=Pnp<^AH
zwzU{v^`NEmiLpKDtwT@K`dPRIzctGEIQ(~f))qk$Nvhe7cwk7cU$_?doua`hBE)Jv
z4RN?DjWVt%_o)GAm=HP`WmcH3@6Q67Wn!i7;WL;=ioGX9O~P3#Ee7dIvt;2Ii`DyC
z-S^GGTvM5ezM?94_qY+3>MiA_tM&Q(IW`SfFzvk}O@;)Q6OJM7x<*!yS%3CPY0uGe
zUz5yzf_;JNlG@Ie9!ciQHk}_+HYS^-qEdm2rDb8M_MO<szL>MkgD|XsjiW(dWac@u
zQIL-=>3j(xB%QK2Vr&;KJZMW56mTxWhZkZC@?P3DG_ug!k*Jv6IYZ%a3>lp~=}jN{
z?}dG@6)+34<HOSXNx|3g95xoR{1C44KGOPrxN%QnQ?_}D6;r`!7oLN_VBLob&EvjK
zhk?Nvr(K4Xc@d=GB{CCli}$OZA=9nMkLcmmTT;yRh0`;IM7~a(nx_$Dsan80SYCPl
zB>yEJ+5LRuGzEi~jXHei3!DRV-$|1$;UE<hS!XT_d+XF$@G$T&DrG5r(jhyHs|@a&
z{?|G_6Gad+1p6}M&%ZCDMJEAlDlugJ7Ovxq!$NNLqrs1<*u_;HlkesCSFORu(wq}t
zG<*=d1(rPQ4>N`L>r9hct}d6#!d4OT;p4me4=W|7zbJq`yw8<I&0WY5d*zl<5Jp^(
z+kSY94pu@bKTkPOi_ZOqA9Dny5STSAu5#MtLsKkdH0=Yf)~Q1QUwW>5G166wc-D=;
zkMCkNZekf)O%Wj82|M#!PLJ$6Vg@Up9&5mNPCYt-cyH<B!w-2!UqM_yf%T?GW~uZv
ztIa!Te#1h%KL$uw=*$g1cb5xA5XAigm>%v4we{-nBF%g7!s2bXSEFnUOKg>p_Hh`l
z0>lpZ!v$O66LzsU^&&qjW><W=1~2Dr2V8FNEK(}}c<57tswWeMyg%s*YM}+hs6orn
z4ShJf@E?=8WYQMCWxrxi1};wWk>$C+d%D)slRpQ#%)5_oe9XPczvCzu3eL(MUmq!b
zdqw<uyIsT<c*Mb1FuzZ*nRgA`*`_^UuufMI*DJn#ac{ET{q}C#^fd@Jf^3ty!uOgM
zTa&F7X)#9~SMFf_!hzQZ!H%A<E}Rk06T$@A-ybkR-H#0ub_^+J_`RaTxs<>C$}yJR
zo`a#kra(*c_Y^?fM-WkQm>?M8(008M`pA0%Bekl%D8^>+qg5^;`)}94W_CS#y!fAK
zCCSDJf9%=#GXWgOe|z`VV>8b!9A9)F*=Pi=7k6*;or0e#2$rMqMYGtV`Skm0Y9Ho$
zGBO6Nie*j^QtdZQAMA}Bsmyn$5nsBLy16hgk0wAqW?q_QL!TZ=Z<!3X3)klh{`Mft
z93tlsUhCo1m5EyO+BcMFss&kveTNM1Y~}OQh9c7qY~`IV&t0>J4BHe^uA+s!0W{m6
zEnX^1si~JX<_YU8G^KQ~(s+?J3MMrWhF`T@=y0bQ(km#3%-5!x<~kDOk}M(Ke1SyE
z1X8PJeaQG!6J#TAcpdIDxkfiO-jld}oBrB0@v*Tnt0YPYLM&zF9&sm@70JlR0^<@B
z6FCPgM#{909mluf=dl?Tvm7ZaZJho&ISEOB$0Qh`e8;vH0u`0(udLe66je5;OVS%1
zO-)T-zj@=xPeMtVmXnji8O>!kh5i(uHAFkB6bb~1DT41o&RqgYwICz{jSCqE>m71T
z*REB$2s-}yFfbw>XnXos(FV1q!@Ou7W4`zAyL8*><YYfjcdr$4jvT`V5^k%(?XQ*;
zH%wygC&(6F5`_AM{Dz7AlpWM#7cN}*8KS{ft9NmC%Gqa41SUyv=Qd%C-o=mXdQU`l
zXRe_YPSZ#3y{75)nKtqHo(w1cJjVr%jhVLC<oc3_D!%HzcbwWjw`m&~f}=r3jYQgx
z@p<k$mu?Na?fwjsyFfxRb*Yy0+__J0-=4*^3vUg^-ti|looWmVjFY7HQ1aN@?1E)X
z{r2>PdEZyV{!+Jm5>~C5tQG~Diih0<X|Z0#fMkf_Zr|Q&FL7CW|L)x<&x2hCI=UJc
z%`*4GY#Ax3*NXS=M~ZI!>bnm`WfXin5pvYIDnijtG)?S#bq(yktm1kPRw}D<?whwm
zdNU2;#<UpWa9vv8u<95r#D=sRYyF*cMHyX-QO^&r#Xy>cXc75ODzfKcgHZ=QM>m++
z`SXkaa0YXdZf<|#hx<b!h}=l}rGI5SrSevfwW~-hdNOeb`tTqY7Eq$Dpo%?*YbWB*
zB%g!lT@Skli_;y3Pr$EShi#0P`GLDY+%KU4E++DNkrw`liWA0=eig)Dkl9fVw3i7I
zu)u{+55A^?=wqBcPq>zkKA2i+m><C0>wuTL5_Io%3dP)ihWaqqq~rX7@E>oeg^fBz
zuK&1#LR?3G^%7})lBI`Cd~gXzKdkjzXR2Cjo*Mth6=1U%9V`%1{_}+_>D2#eqz7+9
z7%*l-mm_}LqGlU7h*b+m0#A>W<K<<+f3_j|;yq3V0iho*)Zj)V(M03BSzB{C{_<b$
z_0+}x;$BI5H<pXt*5T3nXF|b6^W%$0dxd{#DVNdzGxmEBnjVv6e<8H|Tc|hTn2(}*
z^p}GzLZik$K7`UAW9;_pT6r`{rb>y8e`Xc+ueO$s8_}hhz#Ok#vF956GB6B}yCgb{
z%pdN9qf9=|P<8sb#<BH<oX3A%k?t{EahnYF#eYJUP`Gx0SEd~LaN+swUKb_6=Q_Ul
zM665Q^ExA-Ve!H5;p(8n#WKo{qU!Ab_dNU{f6!e}*7VnM*|S01_!AGR^k&v~gfNN+
znV0|gYzeT8`rN)Qk11D&=t7;sMs#Vd?hwX=;>Gk3f}1*rnpE!bnQ2n1e?_f-Olzoj
zseDvZ`m`$LTN>dtQA<dQR%|5ThC@-W{_Bjmw9}=oc1p>=EEwjDzQUqAw%mN|-^OJ?
zz-~V7&+^|#t9P-!F&7gEQQd$ui~a_>jbJp80i{gX>D~?8l%r0RXG%B)JA*LP8}4x*
zUt9WjvKf6SaF@sp8|HfJ8fwgSabl;xp?5>TiUlwJo(uW1rcZskm)_IJlqChHV*RuS
zyA`21&1PW72Wg`o%b=|q&kM+LU}31y{e#CI&YdS$@}G^zU6EQo*k03Nh<-w1iwIr1
zPbXSWllfc;uX?LgaON_aYamXa;kC&Ny<Ov8swve+=_<01hyGl3f(y$AKs|C!gO}ty
z7W6R60MWzkuM51E{WL*!O5-6RAu7VSFka`EEn3)RHe*i&9DgOcEtRU49~~@ZY`Z`x
zRC0DMSer&sISH3ZA|jKvvLs&qCHPK3Pzz24l)|R1F*heYb)bkPCL^0Ye8Tw6fRo`W
zP3xawPjZENGbMvZfBouJn?LVxqUAuIOVK5`6~<{UVed)e^XFrC)}~XWLs{z^8ae>Q
ziU+@GI^7&uwApVi?IEk96Sca!8X;<IWTb+z+~IjKWwoy!c%$s7>(6eew?6g&01Cjm
zn5J8V-8MS`6}w^Fe2GQ7D5rC}F@pboi}03KaF3B4-+KRUG!15Ax28c#k_FcKTA&1n
zcClj@3R6x^$cY~00CW|RuV4E{8AAza#I<7Ht{;msh8)?)VcXcSl`mj1%P1-a0&rCC
zE<{g%7f?ZE9Z7j_2`(#h)k$<x_R&d6O=S)pF8=w`fR>h)fss*4=HrdF4mr`Z^Vel(
zBAtfc(Uk7arI>Z6hV|!JrVI{hm2Pxv_GjunE!!SHE$0E5iMQDptlZY((A-FQ`Pwul
zhz=77(I}o)I)t8^TbY4@p}BT#ZEa(FB48eBTs#5-<riltbF790LVLhgmL=$_*zx5^
z748Gb$awYYEyw^^eKD#kj%6~GUx+tvdvYz%J=gG{gNkMJk@CiYcF<eqlJ`wFS;1*5
zKSk5OW6b?4>r4Ofq>V;F<hODD3M6WO>SuKOty-R884h8_kawhz{WivYG+7L<`V^Mp
z^_Ir}SKE7VrQ6&usy;!vE*JWkoQ9oUp5(Ot4BHF%8K`#_3-YqS;<r=aecJ2S8^&y$
zi!OAs1CnUg8uR!bU74gbnhM^;A}Mt@mXr&{LZ}Qc`amQFRNw*y1ygod%9U+PA3b_O
zLCplY=#aPutChJH6tK@Q$nJX|8JPx26XT5=ogI@g$4{L)^^PV|#6x3azGvFjhGE+d
z4;c;q<ycGuxTI?VQRi(5uN#nSI2RBtp&5GL4o_}$NaAJ(QE;U7nms=<s^B+vOJaFx
zYPA68SA6p{(LTidt{B*Vklp7zvK6(A7z{vzhao_8s2u?&a*r-3Ffgz)LswLIvsXWg
zb>V9Wv-)R%TmT&CfspdUf+wj@Ik)pyvIb{1K0eZU7g8?QpYJ3uP*Z2b#9XefsWAi0
zPovzkbYNH?avY7X2Co1>itp@Hf)q`bNj1F_FxJ6Ms$gPL(gamqkFLqyOuef0i2za8
zFPHC*6R|@jU^qoGb1O=Q<J=WmD(R*l3Q*iWKXF2(&W)Pi_I9c3hN6K%+~H<^c@iW#
zjP&&K4<CN6382oP_T2u)vSc^YdZqgN_e204oAnhG6s%kp8aVL99gDTGu!w!nUAc0l
zIjm?IAL;?LNO8)eZW9~`NUUfcPe9~#!U}Q8b4^0gsx)YppEV%zUQ1ghuHX%`Hdeza
zl_vbQ7u23=bU~P6$AxxEr@>DlESkySBtG6S4Frho3PuWpX>0u?u3YSB`TWI;`DVc-
zK%EmJGB_;zZve820necfz|_^NS8up)+eC_b=>*<zT{jV4{c#Px`mWAE5#FT<F2ITS
z_%RvMHzpdI+c1kA;O3^=nVf$9I5#~xadmcfmNV=g;NC$rrX62o;Qtz>uDJqEi>a^#
zfGwdLtR03y3~4ZcR`XCZbO2Bmk<kGQODXKC1e^PPoq?@vBmDx=GGu_AB`$XAX)3v9
zT~aVY2bVzu&e^p5;opch!2h`>ZMUL5cTFYa-i@p|BSQ8wZ=+nM$bJKDCKCXGZyaom
zxD{}=Fk}kem<(FthQ}#yL>>#u(_LC7U54qe-0ox5e_$NaMfv(d3#jU$mS2pvaRLM_
zO+EY0L~Vd-nntda5EU6218hO?jKEOXp&(j!x^_y{3qo@+6jn<@N&z%5sG&G7nvA=w
z0sO};9k||ao?!~Gs~Lc(u;VtmRCR+jz?%-n0+nM1v!s#r@Hv_V@0YP;Bt*GNWg9iM
z1AGZC_=KUM;cSSeRT~73T&E?SA@{W=Gz=*!D$-!UVwEOp{JDWJivRM3k()cWv*%zY
zHeekdb1SvfJ-}lmJesI6ZT!H|U+^eax_COuP1b4HC82C*iekvNfu#tj8V5kN@jOVp
zrrVGL7;&!kh>oDsVrP9YQ*dxFEv7%;I{J%j<Xm05P`w4`Y{({oz4YF3PA-2+q@Lw}
z3tmZ=3Tdf}9_?r2SII;1*I<$DdEn{+Afzkg>?mUdoP*3#$=Vwp>)~HSKQEnmfo^7C
zZIYaphROMD<LvPDZr^@ZSy^e2rPdj9^B6$=8Q=Hzm#YX-nq$~~O$NO}kB(c~u<Ja_
z<j<e)P26a|$VI19SeGa?h4ZR{$3TNH+<p?oCbPEB&y5;Cd;&I2&~557fal=$NJzdM
zCm>IR*c)HA_^U6Q8#Q<M3A4Vh@pLjD<50rnqp(|^ba7j(q&dK*MG$W`Do?Y~GcifS
zHcM_bUU8x#@Rk$acpv3;=#r*g+->-&1<=}WeG-cSPmZy;PAoQ~54<x5B<zUN?W(%~
z7}l07umWah(B*fN3x9%l;1ZvW7}S8T{rw%Nr0?F92M==Q65ps033#E*O!ny(K<X#w
zN(G&lW3aKY?E%^q2+;P}=z?sZnYjGUBY?gi?eN2pz?xLTc`PrGktLy9tK#voW~vG%
zhtUcwpr#ro)iQKSwLD1!QL~yp(8x7o5E3e>EDbwsj>TFYurBWcl1OLV84?f&pq&Vn
zaFAtMf@|V8j6ci|&)NAnq<&q#j$zTrc?;XK;dVfUSPzB~{LPscZZD1#FJx&66@=uv
z)x?M9T$hVVMY$NZlI16dYtcva3=EisfqYe9ku=Sj6)DRJy~f&*i)3W#bI#tSZd=K~
zrcfoGL`J1$zf79|9LZV>$fWAShc5*sBqU5nD;}eC3M;T9<0}C6=bCoh0eGMTu;GZ>
zt)-C+c#W2ZrXVc@ym_5bHVO?i>!Zf!d9a~6-69eC#@CCQH2SP9|3IE)2UM~SV2CN;
zpwZCy<`VySdyQGHK>h}kG|V1waCt--3(X_AS}r$`Gt?qlaw0o%?d|Om44&}yk3ueA
zfkUK{3z<>?T*bjnFS4jKQ<i@x^eEssB40FqUgYEL=VsO7!df*rDuyQ`VB`=Oi@;id
zE15}%_C$B~`tE#2ievy4Ir{@|*kBm|V4y5jE^L5!x5Yw97#qu@uv|`*_Q5)K+~ikp
z7K-q1E)J!@T{F_qeCNN$3;q|d3n$sdUT{R<^um~24}e%TnXC_%l9FmK^VqZR(RK=+
zdFSiv+X2zQe*F6@&WuIjmG9@#(1#Ms;5jiFC9AJh(zTN6g08DBl6rH(U6(Cao;DjQ
z%6+J>4?Z9sxQUI~4oOG~OUAw2%YMB5bU(~RAUN#0c)4&04l>I4cjOn-l=$)NMF_b-
zz-b)pZS_F-Oo#iLt)Z~)1TO~cq!6IT9;<cN!GPbOY!uufy@-fTLnxb*8w=_bKF7v(
zCCE{u^oHx`;}hsc9UXmO94_HY0_&Rud<%-LtnaV2=(d@cuhyf9@f+98UrATQeN4by
zSSJYLD_>ocd~-<wFdym2#H*P6A;)kXw*~H|C}B-l;jSmRr*oWF9zp_>Q5j7UYRs8#
zkYh$H4KWgRnvi*F+cj~cUL!%e=;}Y9_o2-qDDJ4+IcYIz6wewetu7<`@>W*qfk8oC
zsp?#znYOgAyRr6ZnaTkT{~YzLC^yY@Z#Z2!?_y5AfaiVzOlmG<m<Nka<&X*~PuU)M
zCeQ5^)2+OY6oX*>89WaF)fsvm;hlMU&!Fb^CT9}jleZoj$nA_2BfsNgvQx0ATy*{=
zZy)5kU%!6sEc0*!|3BB_b(lRqKHdp4Cl`90aMc94fiDh;$0wjz69M-My~vwsJ1Iq|
zd>l!f{R6-%XB|f8Lz>d6d$>wUDdMgM%nZs;4+F(U#AP<7D@2Y^yZz!|QOgvAwN$mY
z&#@CrE@#RVTwfVJ9~d`~ZW<@%Tgz*Kg>=dvJ8`BHd=6BHC4Q2}M%&}1bK&REFcZaG
zHGiR((sjJbng;V!@H@&Fd2529-2tdgL}WOK)|ocDF77aG?yrhSvN!})MnJequXH2Y
zO&%5VB?*{KuGTO5N(?oRjbOkgGVC%P>3VdqrCjdmQC(dfeDUq>MvtyrA}3_-Ba>|i
zpIImULSMEdN@spR0abY!xEs;EUtF|wbaSu)w+zU1u3sNXznNkAjwa1BC*W49)^RAR
z7bn^{yul%R7GrNsUgWg@8EQefLmQ5!qgH5|1J(-#iA&K1=a+DsD3~RBw9|r046ZjU
z3qXeLvHgG$ec<A@?wvrm>rjsaFr^E+s+?i#5SgI>(5j3L^*&lp5M_Xj8x2?{CMK^i
zm!V)=lQ)bqgw>~It%urAtSRK(l}J%GZY!<TtclwAOm>DRmb_!pLjA|KfuS@Tt9-7J
zWAg40bP6T_bg}{i!ANsWylBTL$y#@|m!k(<C6kcnTGR7|WchN>gY~1sk)sYEgN?zr
zCPD1`$Yc3YIvjkcKLxKWP>Fb;V1eM4157>Uc|$y;hIR1=DH&zS1qFQIOoiW|ZXI?g
zRH;dzZD=sco_%#aN*>}ZIj>bJC<;Oommn3DZ;29)Tq=f)BDA&~08Ik&8+ReiRsj>b
z^X5_#2nKXkrkRr0HV3RjA)q8tL`|-!SJ2lPInl4|-4Bd=Y#B>jA$u8-7nyF6PLPv+
zK`4E&iwWn!WMw@c%g`;aoRC;ZE+Acopw%6R3CgjXmIWkMJ61A41>&6jgg<Znn2ib4
z)B;|IC5IasUP+*Z=r8vwXAW5<I6}7$I$VHRO~9)cEtT!9PloCy1M%KpXqONIyeMQ2
zsLxWGcqsf?PH5$sj>m>FgqfLORh>3~`B5PZB(99Y!rHupHcuDJk35^gxFq@c`CY-a
zIZQ`7nN|4^sIKpn?ancQ213`Dl&!mocSLKk<vF8)QZ{H4Lia+8U5ep9;(-I^rEgUq
z-0-jsZd<QYu6bU9onOX-bY6hV)f^t|`A0-Vye<`!dad`pmcmDAyL=$8@Gv59eE7+c
zIVdJ-AfYCxV)p}=PY%3)X~P6K{>T-8W66E=E&@64(`UhhY8mFtWg-Q-W_q(?8?yNA
zrY?f?$ibx?wi>x(@sLX@$Q15C@Qf54u;7V>U|O@cRBnCIM~~+Eb&!duXB+VkKvj1U
z421`!pP@Jg5er$34DZm-)nTwRE*k#%gR~aoi#}KCwjl|XI&fE>{g;1B+N7!gVFFrs
zgV$9xFfd3mKLQ9QsE($1NM~r$1s7a^Rnup*SSCJ8q1n5p+BwmaqB^#+z3nUfq$@`J
z#Ti!7+V9_IK%Ws92O<hUy47F-Q#;)tXsZ~lRi{XR{eluCa?RMc`ZKJKz)1dGkOoC;
z9mB@%jF%>*gj6dq$9hBrW%I!rSyw!v9<l9qFKjunq`ZJ-155V$H6uPRES8Feg~cmY
zJ;?Xpzkff++GLJ%LL<jrD`3RxBvMe)t7bae?mH&OxL^3OGCGdv{3RK>AV_0r7-(pI
zer@3nZ{o!7nXCZ*B7H`fb*oJEDkNy)KKO0EY-MWWSsy-pXaK##@QEme1*}Z#k+SAJ
z0MIkCc{2-iJ$EF4TzKGj8HurdLm71EjlD3BtwHW4q9Y4~wcp=<bO3-w{3doc$X}qw
zZD!IB94vA~l^Uq;#{@PRbwmlfp;9bNdv1?T3M$fIWtD{*GvG960X*F#TEboI9dE99
zwN^uY!NAAYdyE(half;2ih5<GJ<sy_k>(AKpY46$s9Hg^fX05O!ACF9S_i<GG@Vin
z^X}AlN_-8QjbU7_v+<$!P}ep^3aUbm?l`d50{^4-SbyiaJ$AyMT2!a}a5rVKbV~=*
zzP&O5)doKlXSZ}cHiAKl6!-o6ZGSSZFItaTVT2HjRW&p|qG?-x*PHs4AIzgDX2bZ4
z&U3TRn3$Y=&b`qp-yD1-?U&NMph4_nE3XM@OuHoEmXgio>@P@+)*EUk0xt<+&+1y7
z&H3w=!&<unkGo8&UlXH=8;IRL0q-+|DmzluvuQAv{W)z=Fnl7_alXlA)YyvF&5#F~
zgHyF~SptJMh0meM6qIaf0Bk9tQY@Mzy(%AooWi5rS206CPXXX|AF4QqwI<$TKi+*7
zw(|Y2X#D`<k^3N@c(`_gO^=h6QcIp-cWa3agVv3%>oZqUy5M%qav9;q(ahbKgeAE+
z$F{DqQ3)y^K+pz@;<W*3I(46j7PFT?sFc_ho3ep;OM*0yk)K~3N=v3A<xig-5V>ep
zm%{u+<4jKv(<X9~r<)3)dt3LFM@G0`Nd{Ke_*2kgP_dbLM(I>O3=IcYEoZ$f9hg3E
z+t)AY@txuqaEQ?TRx5jXS)Xb_gV9pi_JS2|PqBnB3KVf`-oD+3)lwDefhDK!3m`5c
zS~beaW{@qIGnv2@7$?Fqm-Ra;queBrdG<?zLxFhLAODW>f++LRXQ23^<{bRsXp2y$
z8m>E1{7#GNH<hcgKKpDQ#gm<t9z2KvhzI5BTsP)|iyk5FzC&Yghpwm}lhWA%iGTrz
zbjXO>(^hu;$?55NusqK2CRXXDv8&jZkqRbtW|a6+s|}zwUU?uo%8nn|R3BQUm#Cxm
zmU+te@yH^({gitYz;EfvmZhIl^gn(2WY!*sDI`hTybkn;cTci*aUKNHPfwm;%Y{B+
zbli1M|6<jf(CK%n`u4M#U_rrTPv=Zo<0-TD6V-1B=M#7JLUk_=KFp%OeA!!PqG9=m
z?B%l0$tpxGESd9*`HoV7!=>dED3rHfS+{<PK({~~poT6QMkT1EI=@fuMToLd3}{1r
z#dsj{3#U>5*nYi>{dViB3;eq&mwws-Ms0GD?6aYMaSBE$QL))@{*BAP5Y?glOJKx*
zm~ohY18E*`;M=}F@2-60N{wCokU!*tYCN8a@?O(+{)G6d9~<Clt;i!#J9ZWsRsDNy
zl>i75Rq_wscOcL8RxPl{9|d&>AKM8+-GZlQXYPR5!NBQazvm38rRcivuQMo5?XGL)
zW4^7)lUFRj>u*bTo(~nY7@fr)dW_Q47LNYTb}#Of6pFj>6el!bAu;t`czE(d{oO?8
zMPAF{Cut5OYuvo2YjeWWSLX*!kVa<)%C&oEoF+WeIk4r}^;{_Y;Z?2cpen#`TYWSH
z3K6lfZ;z>xTk|u|JfO{d1N1XD;mF7zLQC);gx0}qTI6nrreLsU1r2;`^f%E0oK|;q
zi@<My{XCeOI*U=MKx)uml;^#o-miwfKKNvxQRxvNN>HR6Hceaf=U`As0hm&IKxxeD
z0%?_Xrh`vresCDz_P2+}A2uqoCC(T8NFpGUP?;_g=gP^-c7wF7tK7>AQp4G-TB;6!
zoie_E|IV0x0VtMi_bH;~n43>;KtjS~B?=-nRN;&I37RB`!M}CBjbX7+8LB9UseWH%
zUmtpfk5MeXbMEU0b$oIl2?AQyk&qrB(0{Ah^wC@!o;0|lxIQNrm$sGi6(BQP3kPo4
zFaDvStfup^*jZR)ASANZLcSIZTB(SLcHWOs{B~ae<%`Jg?d@euYN81um+(ncFgW=K
zcU}vVuIL(@O^8Obs=w%hllWO0ISWY?gNH@1`va*@Q~+)=1Mneht!$(~JZP?-KYR9m
zHv%9&TwGjbNf-E(a*Z_`*4BUFkgLQY&LB#J(WkuC)ltU^I96a>rJ)WWyYB-7uO=<8
zE&whzVQ~aPwYlZ7s$GB&QlW;qX<f47BeFeuOeTV_?fhi%57=doogC3e_MeI%x)7(t
zZOdw7X=G%_u1&2JFa=XsKPed*2cMf5lqC>>)E~aCkWsq%5zYNT-PSN6U2*sMKzZ7b
zSN$JO?w-%h%EZKfssP-E{vjnX-~}ri{E}Q&ZcY?Ei?vP*9ONB)%kf#LJiG%wn}dg}
zXhA{!OJ~GIqw4}`w6!zx{>eEG-7xm0F+Ey;jF)Ts5x%ttyn&JuOG<(?%$&$;*ipCA
zuy%L*DE^|_?tupBzw)@kMHU%U+IgXWI9AlnR<W;R+A$u1_JMz1<2d#GG_FRY>!ugc
ze;5cLcZZxjxKPIqdYU2h2R(g&U;b%xQQ%$FHH_H>vPu;jxP`PCpoR;1ie1Zd6iRjb
z6SXL^fx7c{12#AQ7B)*1D_mfk{x8z8!Y}-<q5e0@85}~C#)?1sSp8jx4f?_T0pHkA
zCh)~jmojMR+wb2i{eUz69J|p7SibmwaCfJ8bN=Fq+e(4d88t=+=A$<QsvwLaOxiuV
zKeX#_sSB>7gQsWYKjsz$xxZH=_a{250-WZVe-YVK734G^R7xV_j~596ol@iA6SH)n
z_B(ImRFGeVcVbBv+5uv>=N#h3iTV%Re(N&axeTfZ15Up1Xiul*U}UQ~Z4?A+>(VM^
z;H%BID}AplqZ%@{!B6k)`cR}90Ou%X(35l`f847^$-+w#Yr*kBy#H?v;Mg3@dcHo<
z%iqLinU~%4!Bv85r^O#A%oOVnJ7R2o%6;CUda&hzdywr%v3~wi|L+{)0u_~x<x=tV
z48QSqP#iJghCHadx;77C7zR<hhnsX-*y(zIj|_mi!3>D0ql5}OzTxx$s(M>F)Bg`#
ziwMlIBKR`m8svvRyZs0_(_nU51xQqa@5}R@-tIh%wjVK{2aTA$6}j@mhj-QI(fa!W
zD7<{(3sd3oWghVp*R`kx9q(-%P8*f(Zg!ZRAGZlxR=B|t2hnb>J1<$~?3ybq+vGcv
zlIoqc_Sug1u`0a6mE#M##W&3c?_M#z9)EaXC@Ydm(lnm?Ga!xFqt0RkLZOC8da)TU
zF1-+6t2n3)poRjKgl~<1yi9o9wsY7SYLyv(Uit?;vPoWEv&(u6B02zsU5IS`+?h~&
z``KBT8E!ny2-h=Mt>NEm1jJ*`P<NYqsmF+JUc7!yq-@#QA~k^t6nZSZ<DJ<jy@%;|
zR5Xf|`X1lZXk9q7U^S@1?>lm3AChVGA|zO?1D6Ep{4X*1R;7>a5pf%BUH>}hWIgr>
z_8t!U0l~*gPX<(pL>=$V^|bI$$w`MwU6a(=4{N9Zs``FOZN^<?>qqsnm*E})CTiJy
z%IReAs&rbSSoN_T4mR2k52#onzHFI7rodk%P;@DrEA`smfGP)eO#aE!L7zXz#a!;0
zkT@^?@y0vZ$iO=RtXf>)yr?Tk5~6M*>m=vSwGUWJx3wusz5eRu6!dT9D7K_tc!|(#
zs4iX)J`NJ&qwjma1y(QU8II|^3InUGK%o1|b`!5O1H<#sC(u!nnST~wD(2rfAYmR~
z8e}x%mX%fUiS*AeiKYu@jL>56>gt&By_QO^`(M1$mBE&#e!tiJB&ZdYAku>*ls2i8
zMfL^T;5U*4<(DJL`TSlwQgWenM)$Qfr>ZBijisH2l=;Zw5-CA+BQFk=+uVX%@!YMb
zwC{>+7LPPGU@5*lny8E_o6k@!6W8cn*s9ORF{@lIHfU-I9-jy<b$qH+{`d){52S!J
zNfnDguw8+A6M&_)$**gtNn7#HWbPXcM7S5@li}fI{#YH!<0%&3nY5rFG6C)@xqsw5
zQXyevbu&p1MEHYq{(6i;e3^|O)s8aEIF6&stkT<IoLy%`(EdwgYi2{|ngJI+!(}no
zC1D30cQM!-4xf8Rdx6tau6%!6xNw{zG_?4z+F$BJU}AKO0e^r;!E^!97n-?uTU$jr
zl*{!-wD&NbPS;tRIdwK<lF@e#^PP%wN<saFZnomU7XE;=qp=+Hoq)A`-$`1mnBB}Y
z@_G=!%Dm3Ny-1z$)+sc(VP%QiUH9{?)2lS$Y3!F=O$+K-GNl9YF)lnWjD4{X(aJnC
zdNxPwB%J&Vny7aQd=p#ivy}}MPD8X4%X*WV*cS})i8qlv>x^ID9TabG6Ki*Ge5W0i
zXS#M81Z&zwarF^;l-!SYL_*c`nA5dhMv9&E4pyW+^5*1>dwSxu@m@$CE%1gphNm?v
zu@I@{?|Ek2=dj*NR}4?@yYwtO&4$=WzPX@7C*nDn?SSol0{GSUg(6yJcixP=anRS~
z)?xrtK6RQ&YdV8|pLk=P*zy!9weEHSDeLh_%?CYcN4?3KM_FC`RA-Sv|5Jp9|N6?S
zm-Jdc0r3e8b<x*99pE;5wG~oA-de8prWJhti|R<sYxc2E_7*8Vs}JxW(6akf1cL-K
zB)a)-;BHQ00&?0*7fB?)=WG-FQK5IuWp=uJeG968r|zEfBO^q@-Zrt2U-Ra?K_zRa
zyu=7p&e!x1Tav1DRyhE_<4JKC=R1(By}RRk6xFLjP~CP+?bJRlRz=SR|BO9=hHt-R
zoRdk0q&R<RVUD<1>KDJOtW)E_;=T(o2Owg6e}ZW>;$y-2mkG-UGK7~0e?UqY9o;-5
zDjNB2=-UXfn2b_TO%KP|H)T}#9O|Th_0~x*o14h9fuDW9$ah+_(MNqY$LWiSuOP2x
zOFIJvh})YeJ2J^Ui`41bcN}9_iI=c157t<4Cdu3@=>Pt#!GaSNlo0=1n3xCAyA)14
zD&@xM`C7vP6;`D`&{-M>Ce{Fy<~QU$Ld>YFb>u&sA{3kCI2A{9@itzCs>@!;!+XwR
zhQEi5j1qC{xl^8}@~&S=Lin5(wE(0As6h>FqDa>+uD3w@y#PxM)wHp(;Z~V<18pOD
z-h*NwxSLgM#0aXl1u8_h?;%<s`$MZ~Agkx*Gs;x}XW|CgCCCqo8mFJVc)`TY-Q^+(
z)E&3VFSkoRpCap~L3eivvRUp66Z6Q?D3?A`46PXR>BX`~+qI%Jz*va`yo*W$);sUZ
z1)G$^Ku}GAl$>0~vK!}bQ;;9uN}$0U8~93bQvN<i*_pC8OV-r0SdA?$Jt(&FpaPlZ
z$nHx;$(g;)1w#=wfOpVFJ`0OfpEH!nXorSC{f0UgN%nE4mu;hGIG%~d9M^ZJ9Nlvt
z*W3lN@$10CZ#^j0A3dmIbO$JJfL*(bcIBaXW!;z!Dii?9z&UIwC^R$ylG0F+iHgZg
zoX5(%3JAg{lq!P07R8Y=4-{%g+o4XAFw?K`a~U_IAi^361%;+Rv72adRqNul>72bE
z{Aj9F;k$DiDVa-70TR@Hu9G2j0`#wFi(vW;H}<h(4$yZsGac>4n%#t|Z2+H~Ug*uz
z4^AHF0pr@O+Fw8)sA|ZYbnO*llB>}Lgl?K{`LIhPK(4?a&b7tX5|{cw|4;siX9{3l
zoC7$xxIi}!PWt$Q5-{B=aeU6Fp62&pG<O<>4guyd1t4>-J>D0k%0PUfOv<X&3T-pc
zvN&iLfHwPq#8@g2rFa*Iisu2sQE_!GLZue7fUg%F9qtM5aG2$sO_2zXnpr|~@e1qZ
zFoe&dmpzi-?#}%$_Y?qH0st}&N-w_aJ^&#8uqf*t+X0)JdwhaQ9^QpMyx8VQ!Fj;+
zm2Ta7k{|+Ei&*Y*m;)mG*x{M{{mgU<MC<!jet;j=GbboP%p1qG$+MkFHNUyM`%m}4
zVAaNdx(67z@+-uNv5{m7tg}`V?D&>K&UYvXqx6{g*lhoFiA1^;kUXylnkC(GKlqa-
zQbElquYJ<nCS1%{-D^+$1ggfo004u|HM;R}s&t7fHZ5&-&C9Ae)8^`ekomb2>LW~#
zIdBp&ueY{|8SuOauATBi_D`TKA=sY(XaIpkaakNktiT^+v3o&eyN3qHVf3h?<YR$*
zbVJswhOOWa7qOA3z%b32PQUgeQ3md7FY3&!ZvW+5_IFi4-N^)B3L6jg3ja6P2|1xN
zITMKz8|qYOf<9M0y+BFzUByO+=I`tv!+eGnl6WRnO}-SpKUginBTg~&aYaQsUdOiq
zS-k%zA&|beZF14&k)zE}ze*S0YMB3Hq*Dz29@=8icr}?^A{5KBuAYrUJa>leUnJWv
zok!1mPvMBkC{Qwy{B}bnXG5_D+0am3{_(eyL`sgsC<$SdbomwOFGhx9;c-7HZL|QI
zL%201UaX+4KMa#SimJ?arFMeHM1S8p-@nDDDeEdW)wKy|GY{ojUhy;0Ln0hxNvW-`
z1Xbu{*}OPp_i{^OBH7nFbo5t4@f13kZ<(0t)LHQXv)$G_t3JFpp!t<wQ?kD(w;IMw
zc~6inyh`4?FRsVONfGjMS4-#XxF2M`^5er>89%wyqqfyVULYs)Pvv}YkPF}&>bTa-
zg7x;fFILP{(hPf)(S})y@>6!>UN?L7z|Bj-36i0-{Nj2k$MwuqGV)%Cgjws6*wC{3
zCeCRU*{u8(uUU^B6C+S~_j}X=?sU>eO9yd8Ep8sSuUGe^EQDap-Mu=Fo#eIU!>5fd
zjro~P`ZEz$lUWNN;ntP#S$THiMDl%$NX6(LhP*ROBn9Wdyo1cMQ;vSg%!#@M*)jnn
zc$)N>Sd(g-o)G>~5*5sWvYL%|<r5~-Mj#(IHcPd0-L>i(Z~y{B11rhn;|QBd+d*w#
ze#tKT@l2wN;!qf;boy1s>#$O0dzcnziZnZ1y(<x|dhYkopaxI;T;+W6@P6qGRw~Zn
z6Hw5{y<Qacyeh0|+%lb{ZxKlpupqdZl8$#;G4@AmeNXKcF9h!Bzbkfw(TX&&kMZk~
zGjtr$mE@}ilte4dow*8s;!Z6s7+ycidj+YqgmRUsOe7s7y`iN<XmY+UC*gGVX7yP_
z!G(;hePsefryJ`r-L9_k=C~h@_T=WbS1N0<kOIHgi<h6g*881eh&>-$gyN?o0j))P
zdwl~a1?e{Cum8@5uSwi?PL_gvSm7Pz?RwuOYga@;eY%Czr@ZRL>8jx@{pYp5l_O(S
z&jX@Gm+BZ5h7Jdqv>08VV`<%ya6Ef+=NzKI?@vLxxnEt|@Q6>{l$Wq;jP3B6WclIq
zF*Xq$mw8_LV$Wlf1DBc;$b8T~o3Cq@jKilQt?lRqM^w`DLS^|F%rxBvi&k@3GD-8A
zSZplAgRE5@%bE<`^<Db=>rKKn<qz|C_Nqq$h7`8<>gqDw2cA5%q<rIBzGa)sGDo~P
zpz0#|rYH(@pK)a#r>U>wVAJD5eFIyKk&Q<MptV94jikM|WJP-7Uu**?L&qmz9@gF4
zUC>N-&|g$AIxx)qK4i!6{C%3*a@axjP4ul_Y-a=l`Y!ooTN*7^vvWF4w4g~d=$LI7
z5~_08-a|H=&@#;*00PR?XAG})8|s&|`W@Z$O3~EVBukoLX-P@}E-SNpxh~$aypICS
zpGD&g1p+)uww|FM`sB6n$W(A9mj%6WDMPtH0IjE&6y)rn0ALNx%P(JvM?VH_1d+9Q
z`}TLxY<~L50;}bcr+EUrV|GB85LxR;8;y>BXg44Y-tltFN8jn<O={L3iToiC?+`c}
zW=ju94v(au!?bCs)+vV6pFvORbGjF(vj(oKy2rvhuEu)`(^=<d`O(odb9EQ4<H;SY
z-9o2=dfGblUEr+@cJGFV*Wb>GBhTEv*DxBaXwKR0yW#d);<5Y)3So7iJb&^?K2??P
z=+>J`Jljq-8p)mVVuik1S^8p$`N~=f-Vmh%_qWBa9!&k>S}Jl@hHft#=IYY!5<W5&
zE)31XHTw#%_fX-3;)dV-d|GrqgYZO=>*V9b3Yxc456+r$98s<rUlK`;sEDaVwnwNc
zN<R2N-vaK3rmx2@95z8;r|se1B=PUsDNt!U-qMb*zN`Bo4+DM0ICK0=prMVogpu9O
z07)+;W2T@1PuPV^&RLeSW!gUYxVUNtNn)DeL!b5)`=>~HC)w+Jy3IJ4DipW(vIOxb
z`+jlO#ho>u>_4v2h_`R8`JzgG(W~lyB6rNbWdP;<VS-}@qOMAxa9wt3X|y7bM%)79
zu4Nw=)LlZ68sB`%w(Y~FjqerR&1->R2fvm7)8>aPD<_(UobT$pR-4Yf&1>#?={CoO
zX@@?@M5~3%n08T~{kT5e{lu}JYO`)i$_UE=q2fFIxQ++YEeFID$^|jMMDyv)YmyJ3
zsqB*ug{Ob^LM~S~+PLPykrkkE=LL{hS3F%O^NTpHXjl(-RQKieq!Iw&7Ase?rC8g0
z7xP^BdjN}E`-ZA+yw}i3Q{QHdD$jgEhdSDnHP=>>PQ$RWcf((^NHQ|KyA9BKfq`K#
zG_;L}#DDQKg@&Yb;Ne;ang9MYYwoL4J<zUldKve6d$z*_ljeJCyO|Nf%~oz1R@URC
zypyU2j}9Hxk2PutCdtK<KAqYNrxGg=&pJi@W!w3=Rloej!$Uz18v2bmz{{G&u46#u
z^{E?yMu>>VvVo~sQ?~gmR5LXE10=Xbt9b-D7xGxBN@y6qn<*r6SCF;W5AekJ<$ZfR
zX{~u-hNkWz>;Az7LVIFM3boX<KKGR^olkjLS$M8)kH)BvA<GnvbU~kQr9rS0E@G}T
zq^yA8RX4?cf!Hj#uy+e#d_z?sHOh99xOwK+Ko9>|RpEtupc4R^a;m9W+H?7Q^%22c
zPMXOa6P7gf*w*bY%|<RfZiRmg+Jx|tx^Q9e!WGt(>-krOzsGO<)afTloMojv#%HW1
zDWg@^GWj)A(CFCOfeey*;SlSU1ENqQeT1kLDUtJk{Yj07?5n8n;YI`YM?LM8bbhw5
zSwHpIj3-w45Ke*L%a@flPKWMwRAs%rl~LuH?3K}?{GNl{`^3*nWx`phmU;qo#-yO$
z7Bqfe?qRL!imea}$%RShXKerk%R3(!XBThEWSxoGgZ8>$(sK%%q%IRR&qTe>lc@C0
zyP3-ADxCBSU~?B@ZVXcH);iKQ7yybW%w1M6sHIN9{>lr9JOyzrtC11W#y!P^=HfS$
zMwDV(6GS$&t<Uk_U%3{$uA`U49@omG#Zm2})yrd{^zcp$jp>5{6Wj=)Z*Na`(#QL6
zx&16H6$n#sp3T=Y$UGDoC$B+N&bcC31=OXL%CWsy2e5e8dqxF#2o}%UaqMUP;4ym(
zC>yK!{t$<CvGn%d^0z43ZmdgXHYethqEmp*n7w}JYeDKC-#GkLhQGYH&9KqX%KqM~
zh26m{f(NF)j-d%GnqoRX?KH(m)-<Qf3P2zAac9qwwRY}>dhYtL)oXl~Ut_FP7v_J1
zfE}cRXrnZDomZ`5|3tXClg``25p#3<4g$FXze4vJT{qPKQ!fdRx%U&AhM_LgGg~`<
zGkpDKAnLOZv>BT9C0h)cz{`SAZ#aHISH&{{ysSnEOP|Xx=&=F6s`SECw;;#EvkNQF
z`#rTKmU?5ST$w6(Z0Ifd;qnW1@$?S!VqZXc$B=d5p%p+#o?G=sp?QC$E~T)xfJos5
zOCmVl9{~}ZavJVV^^DC;mvB<QbS6*dw!a;8iKmpy1ku3f__hvY8t6S%wm-Z)3)-`P
zmCx5$`&`=$?p~20=XXP-2hv+82au3F6DODcuefp47FaI0(;}VZkdt2`(3I!HihC4!
zw$#mwmpe^U8tpH)_~uBt$1UkU{|w#g^jWeof{+0JwrZ?IN9L~t)Ha0<h_BI!o;1s}
zuhM1iUgr^}=U!q+GO;FG<%{>Z=U>vq8~sdFkrxZrUY*<vj}${<rsy>cG#NeKEda}`
zZa~5Pr_DNpk#(<<7+q?-JRO`-NN<ru%+;&)XPmV*ac!Qfp(3jP-^T*{<MaUZi~tai
zB-z|Ig#?-Ff`>J!N5I}S^jH8?kA6Wj=ZYY-q;sH$2AmWf5*#qtw%bpm0gVPQ=#0$F
zKp@w-2*KeiP~U_4_XFA~uXaVMYG=hNf_kZDXGJF>oC)M9e>-%b&1M}@dD3U0GSOgB
zMny%{?Db5?Z*5|TPjuLSZK9NqSG7jh?eO)s@h@C}*!BO#Jf>np(+ZT6$-or~Y2!(K
z``b@Yygv~nhM-+eaJ<a__P`_J8~+UxVI2T%)?q%X`UJfrs>F^4SuwZrTy(viC#rcy
zPcs2QmI4(006}<<2t_AGtR8ONH-J`3klLdSvB`O2qAJ67K~YiZ&_~NeM|TH3bEoes
z?a`6S^LjT=RK|pg>7m&G6vtiA_7WT(t|`-1nL<XNZ`cq*rjpX727<B`ATTKig_ga~
zk&&6gK|{%%n;?|pVkYrjX_sar+uK^=MTPd)-~@|p&~T*`+8)Udui1g{hz#_Z+#ppo
z2Vrx?MPb(*I1@$>?Q8wWv_&{6EGhv?Nq=a=Ap_|z4}c{a!qvNBt5M-4B|@<v@vmXY
zAAD#rRMd4>R+fjyvfqG)mR8wr^6*p1^z@L^2scc)A80gt(6@=spZEXp;i5h$Tf4OQ
zOU_|sVgr0&=0`0$ypug-#S7h9CeXT+-MNXX-Z`A%3?F^KpSVC1p&IY7o3a`eEe+DB
zYs}1z&Zs6h`F6R=yEXmnK0g3?$gN8^LO4K0i2Z<=VW}{T*E;GPHMRB6>1kEfSDtAl
z)5iPTD>VeXgQK<<ASJj1va{qI*-m^dY}N$m!a=o%Xp=A%S9lYu^UZ_hoU?;}7u$6L
z;lvp=BR3^2iRPAgII>AuUOomoi<22Utd-aI??sDfgG8zaM3}0ShP&~vBf?SbiLmQ>
zD=28t&Iwdc`<ztg?T}SQ`qzUy63ud;w#zkcp_(=vhjs+C$+`!oQIUnasu<U~$ou2e
ze?gp3S!m~UTzq_RzX%IUTK(L*DlxxkC@Nj+f}R(mPn5x`@7A&%=2Z@WfmH&UmRo72
zoYB?_1ktGk6g)GF#Y^3Q5v7BHsuPOtXM)fP?IM|@AFx*XxjzU88wt2=rlyx4x}sfn
zO<zt>yUTm+H0UPB8aVU2B99+JYeYPl+iYxrh$0+YlhCl@Hr*24^W)vMjj3>J0H@Md
z?fDCyRgK95pp<Jfb_<k4>LAbRI67Q9GCSPgiDD%P1oMbPwL2&~Tz0r?o~Bi(811nc
z22%gA+4fP~87$@m^qeL*Oa>q>TYgVKySRaa@0>=Nc&!D6M{w5?MlDg$=3!(CmNAER
z$b`)1!$v{XNgyFc&k1VQ2goq+!r8Mia8^t*pvuacInjwfyafN8q4U1_;Ug;ZjxYY8
z5`P~Z&6d)o5zoCB^g1FM&J9w5Yjnb1V#An0qd17zV?e<@=XJE@WysTU;%5ur-Xt94
z^FJVHl1VMIZLu$;-7wGyZyEMytbyyW`Ak7{r;%;sUt~Y4NEyEy4^|Av(9DB`Um581
zHOKk1{A91ALzG?z4Vy#AQU~Meh%A`rI@pDvcp(j{AA>%^EBl4&U^<SDj<4RTUg##M
zN-TP)z~$^pA|;apM_*l|r~jb_Lh&rGBTs!$px=SUgm)n!Mj#0EyTsq_JeQOZv5;>$
zV1$E%a}o5MJkYi9;9jIau;GJbd6$+JP*~xobeXxsQA&5r%#zm}5BFW5EiYOH+ynz0
z{SgU!{{8z4=;r$X-RF;%M{nvwNB$jHZ+|eY;rrCz5`wq(;fh^w@C(<l*OA8rNCIj|
zb=~!DSPu^ttThV?Z=4&IIO$EizEyrSWYQk@N-tN#AJAnuZR?kfNH?h0^Z{06T@VH7
zKrEP>PnQ`tNVm-0K~L7DmF30IvSSJd6J1IAZVBLDmu^8c{gRhx^*JO(#igYwRM*qg
ze!jcuBpx1mLY03x;IckVMk!Ot2a+z$ayM^2Mw_Q%!65E{37?~&Fc*UMk(%Gi_vcmf
zAMl@gK7at=Re4bi{=iub|2UZ8|NNxO>c4fJ_IA)>dF!HQx;X+sDvyHU5Ju!e6(`}q
zGGT3O<h>YzBfkLpj5wG>9l&3UHFbNe^5@}Df&0)`bOFv90%hkc=mMGAtlB<H{B=^>
z1?V3=b)JroT3Sx7r{K}V1@JOx41&fuXlDwf0c;zjqYkz%X(%=e=bkl3L;pe=dd`E_
z!MrXw4RJK81m=KEI?T39fRG&Ru2?LZX9c9be=@i1=+Nz;<!C<uVlpuZ`iD#1=3%q-
zgANBUXE@nts{IgjGxtG%%CyFGY&7BbX?O*`-~gb<X=BOj2u?ld?t&#rLR%mpuAwfS
z#&o#E1#NLd-3f@98Q|as2vc?<UjLKwmqfa7P7V71U<lA^p)s8WVy~tT9OBU21q5>f
zw`n_#KO7_nKCO^u79t~@77+j~3kl%x;LIT{xNuOD(S10Z3vDTkmkyl+;j>NIFnat%
zsE%tLWx2rb(+w+(agHBHkLa^I9E6SlRF;e$8pnl*9PO{U?yuBtfHqcOKpPI53XFrB
zGKI7I1Z+mV;lMBk%<F&vHYZA$%XaADr3H<kkR!BA2`tst*3N^zy$3xq4%!pC(zP`q
z&ME`S53L<vDk{V<w%wO8a57dj37gI@d~a|tM+wjrJ3Wo<y*diLiy5JTfuEs^M9>-p
z+_%CkK}DGYV0Q`})`e={&~p@EH)7C<a9I6`LHiS!HVQEq%>Sz7+<uab!#Mt0ZFUnj
zTPC=51GL&2*-WU-Oj2>6HEyyEwP>tdj!rYM14Gw^>mak4qApEk*@{G0o@mUhxni`I
zSTLrp*kleTOkpG?iS>P$|3Ft<arnLO^E<pepU;=Hwc?QZE_fsS+bNwHtZXE53O$*<
zIB`K$(db7^kZf(ES!)$lh>eJ?`n!fzc9!&O6TkR6NN6)EuEo5wuGW;iz0Lz!t_QqN
z$FZWq!j_rKIJyv<Ny&9cnaD@s#Adzg&k(RBYeER1;7{)Oigj9TJeMx8W0#Q)*$y>V
zSg(pVbb}S_L}rYE^hVeRosSCifiZxj1LT5)=kU1R*A61wf&#9H9%1BZXl4!U!cq>T
zJtmrk3vz;NXT(PYbF|=C{c$)~XjNULK8AO^_MX3H!6^n;=pnVQ>VOiGXS30`XCf2H
zM?43=%{UL*-3gY<ggs=RP*~bDbo<v*>T;Y;Mcv)qpU=DlMtznmX`n)OLuZ7I6%ctd
z7}*40$+!jR9N{W|2@z2as@Xs9yiekZcKL?|bS$max3F4~HTY(z9k4!Ksj>A~AO=Y5
zCrToKxnbkI07Ojnx@7gSAflBz91b!s!LM?qNMz|Euo6WoCI1rg;xHgfZ{JJwU0y3J
zF=Vv#)42it9yc7=@|lvhOfjq%O4g&_L7otfW^QPootG#r56IV16f-C5LP@XwG_%%`
z#JJTMUj5V5QIJ=s7B$t?)dpyD894mW#u0Yrr?5$sn|h@xYSl*klOh;s=P^+@*hD{a
z8*}D#K}_z0*xOVtOPOaYizP(0R`w}|Kdt_T2-<+4uLP71KuooU23a=Dg+-ligMTk}
zMG<4i#>ym-%OB#KQ+yarHjj;)p&6Nm#dr-tGHh_45@gg&*=nx%u>1%HBEi8)PTGSH
zhY_rp7|LTurhx6-#Do+yndq|N@a6i}%RGOdz8O!Vc@jze+jz8$5>L=gX^}8n>Nv^;
zXAc=#yLBP)_ZvRL6G3v`Hal)F!Ls`kFaN#z<E@duNnv&Cj+?oLE_@OrEj(G!e_VOz
EA6s)gAOHXW

literal 22268
zcmdqJbzD{3_cppf5hcVTL_!pi1`&`3i|&*bBm|^W+5i+#l$7o+r5hBH5^1)uNfGJp
zzGLb6o^!tM`+M)bpZn)MpU*zBH=DKQnsdxCp63~3%$JJt62t_Q1PFo<OG(~QMi5+Y
z1i=|Sehfb0=^XqC|L{B9z2~4}ZQ|f;U}ucT893NHvUYf6W_Z!b*v{U}+UhzxKl?S-
ziw_+fZ0rR%I4uAE0=u=HDM$DD1v<FM2^&dGdjugdKwmf+qUmM`qHZR2=ccMl%>2+}
zcNNE)!)51SUfl%3yINX|mEOi`ioE?)=Q?j1RcYL(!qXAE>vd$ROqcCAQNlCqSI*=0
zNK3}(advW_mT!1BkK%;MX|{GL_l0*|k+bvk>hbj@duTS0(mcEEvUbyMrLFm@u;uD6
zx0;bvp7Xv2$6-J?^>g#M@ULR=ac}gkF9M&Qy8r*fH_Q!Hk5`SjB6ai=6BEsctIFeC
zXP9F7Y?Gud_&xW^z68<c&tps7+(#m6+JESCR4qMi)L)dgv$Ny&+;hp*EKHNuCl^~k
z`xB;XtMtTKh78;BFD<RD-8<{EJP*DQd93$p>`bS}pQEACyTU^y>Zy}ovy(;1W1g}x
zkJV_gI9J{NL#xzEmnq+oAO3TNuV0a>c3scv!W>hqK84_@W_j-KWIkwo9h@RT>!Dg~
zf$593uE}f{J=D4FOH`ibArLFy|A^Pe*Vnb6hk)roB%gtULqR=T&E)!31H=X2%L7r(
z#9CF#1v@N_-js{xmD8<sQkx$rCM6?FJ4r1t6`~-*v`iJ!oRS{rDoyLY^hB%JJoU|+
zQ*7ELvcV2>->(VpE!F!61gJ<#zCeG)Z~v<-uF|B9a>#wPEjVSY-mg-={af^n_TFEj
zhuc8{4pRy5-*f6Z4>|7C(;g(i$RGdQ&(kavX9$rZBxCJp<*3bZU7ukR64KGs)HL>-
zH>mf`G--<xaGHC!P`#<wo1>}XIMdTv*e=52S5GGe7ko3*lX+PRog3Xn`@OAYn#Z)r
z9-*)|lGSstzk5Xros<-*5Qlc*&8a8&G;i8Wx}V|^u8kb-k7yMby<Di-wJM#=)hd>z
z_1gP@t}i+|^PY^i@-cjg-(m$TaSdYy9E%*Lm4#QDF1NI_bWL?8JJu85c=+l032Axx
zz89x2_f)$%ODSXWbgz)U9=jmoUS?IZZ6X)Rb@!@#Oo!lNRWk7f-iO!{OaIre*}HdJ
zzJBe=R7oE!LGP4@J$qF?wAZ{B9w~co&s{UO&#t<peoS$s#-le=<tn-;Eb2KO7p$ui
z)8wLOUS5q;gz<2L`3Nt6K1<1Gli;~oIU*H2P-3Z_H-6-z7zLtu;@7uW3rQ~ZoO=c_
zLXW%n?0&xZaQ`E2veW#4_`Q4YY}clgE?>RcIM2@;-S%*(qSzK|Sz2xxVf3!e<iX^(
zSSu{;<DaK5i--*KInIP)H$FbYzo4X~l(+A-Ippk1|6pOT{E8k2FK-|Ew{N4PX9sGG
zn$O%0ej5{`^J`OcAi{v+%S>-Jv6OfSgWTY-^<zD^sg6YWLzpqEe2?*0Hz=tE9BhU}
zAFrg)HB;QM8dRG-cIrDH9#Mkw`gFGhtgw=yVbU=Ynw%&ei<xc(Q8lpob7W+{%$+yp
zG>uJ6vfMTob`EwIW#-aN+vB9ArR|1p5Zw+SV^cmn*f*x|m5&ve*qOnW=5t-YE;FQH
zt6lO)NnG4F&V5CybosgSh)1bb$)ik;+P#9Wi}pKf(^@s|<yZ~d+kPh<-D)u_13{t(
zW!U|Np~~61Cr6C)P9y#{1QcSaQ6e4{Q8%pf5)v*pG&E%14Is;FCXoqe?F0iW^4N8n
zn4GMPd%zVbJvZ5PzT~PxTu-_EB)3H$Yg-ggb`R!TQ&X9tr5_1xIDPTM&ZN%|U>o&-
zFStS)=P3+xfgQhg?OK6WZr*O`pj|8J)h9YyUYh!qk`EtdSOn_7g$*`6*IyXnA%~Pv
z;a>EXb}YZY=5@H~RWTXo){`tjvOi9HsOauq_4L^@9_IxekF7DkD+A<<!XX5vxH4U|
z2TS<G)B;64n2nyT(#sOBLyy~JYvi+IQq|dWYpYnvWPIXCkcQI;j!Q$*-GFnHlv$yn
z=X{<&FDq$}6)cr)&sRx*ed*GrpEi6w=?d{IC2YA8O2L%8j~Jx}DxLE!ob29KyKPp`
z<ZG8&y;P|HFT$b{8==yNVGnApRzS+mJ%B6wG#I{ZHnP+Ga)-GpwAnP?L;cs}2&{)z
z(Zjc%;0w<Lk&7B@CyNtHb-~mP4uFqQ`tad{D;VC8{7nws3e`&IMW?nqCy9yG;zc|L
zYs`DI)cQ)bvI=UP9-q^_x7)RO0*Oe%Kjp14=&?EEy4rTbaWd9<X0!INnv08z+hfOp
z$D&VGbZ_Z)<i<6}8P#09YAx7LT@QkU(^69CWBKjHN4yTJVe2GbH~l6V9K~yyH8u6H
zdUv7H|HTW%SCl-kcdznT4c^PI-iY!gq0NgEb~A5!LzgG>f!n-C^1+wD%%V+NDyq3<
z%t=B*6=mgMGIpJeUv1GW3=HDA+NF6bq*BP1h$}kHmZd{!Ui-89(h3R~@G9$_613CB
z7`<*Vy4I?ovNAr);VR8~KN8H3hJf`R6@}?o=i$!C>!xc17Ww4^c=-6U)tkd14ThcL
zL85tdw|yVNqz4ml6ja%a-2%Tae7Lt7#c!W>>?Bpj`Ya}5o6;MT#ii%AG1s4^kstRZ
z@O(1-QK+kdCBg}@-K7$Z?yA%<GypS1IHwTgVjV=8|NA#APgK3Tr+b#i8%a-}{zw@E
zS2*iyFtxY6DlIAbrl0Dahr!W00zL?rXU?9j)&+D_c1+?mmD2vsdbO^v#wmp5;-yQs
zl*dREjf_$vvf*yVZ^Ob;KYzZ1nRK~$2~ij8G#hDZlEl4;Aic5|Nk$01o*hA9N8o?K
zj%(gx-q(q4J5}nQ^sC3FCPclz$4UVIO)aa4IZ7Z$alyB#XlX@3aIVrN$ckKAvT0~+
zY&9=-tvrWdypiKa8PmHnpW&0V7=B=+qr0h|9Y#Z~6J|hB(EmsP_U1_%p^Vx5T9Nx4
zDTJz~N5w9R!36Wi%3on%U=|V@#7-noo`B`Hv3Y-zR)jUWEv=(N(K_O2Ld=%+g;S$b
z)gOyTCy!+eZxM?}8c&civRyCjY3$;%4-3;!Y#_x!_D;lKSMx(&a5cBEbae1X^E~{;
zKrK3X(E4~!C+}F>U`nDr?`rFbT0;t7@j!~ickd`7Wf?3-YIMOdq5-K|cYw4l`i4Sh
zXXh~c5k_(m(=0NaQ^t05BYEBZys2@`ouiuMUi?Avt-Yg~(V?yk66uAO6>qFJ?NX1Q
zo1UI_g}v9CB6SwFJL9!$O8dK;n3gaW;SI{xaJFs$K}F!;Q&Uqj9cTNrs$4!W$j3~5
zz+_~IzoML;FCB5h@;>aixWBjBKFoByOx*pODjV*_7J3n8Swe9K^=I#FFdUP8^`<(t
zp~QxtitpbsZIJMJT&b#h+Bz<aA3`{a3)HgJr#ZZ~13dSZB~W+)zN9ZhDOqSkV0Uv-
z1H4*=(|lHi<18~Hqa?V=uo`do&f@d=Y7oy1A3PAgcUp0KD<)Ixs931xt)g9yNssHi
z75mBzcUEQ2Ggf(I{c64%AKGlx1sl<E#A7q_@#-&d9bsQyQ)fenl?ql?QQ^5?hoAuC
z?c28%hX=ckKR%zph@cn`(3r)+-Zlyfl9H0RU6$_0ihAh<b3gjdDZIbdEiES()@-Dl
zEdGi<^E1<EQ4#kLxE=zqhVd`2*2ny4E7n^e-ZeSylr@1<13Xy-2uZ37VjKE1APdK-
zj+=CJbXv8Z)f<Z=`8Y?8F|xDEgQMzcyD^eO%A#Jj(VeZqK`r8b5B$p?2bx}_Qg_|t
zt73PWoN=*MZ_-`Dws_Hzd0PN${e`9$qjgURNJud282x;XnynvNB&TiUV15LSiqVEX
zD9r98)X#z!bK@^<-Juhm2Cf#0f~A($#O940#@@@nGNZuxJ?t+q1~3{5&#m-h8Jr-P
zJ23^PnCZ8e&Vgc!V)t!3YCapWXUB-`EGoSYJv}!1O;Jb{&Z?ONsLLFHS#XN;@MDRy
z46=%_-NVAe(-v!X^LkuqT&L)$0q$D#<#a-*K_jHGk&#Zfo7<QVIX8Ia`Qd79OKgdn
zlT*n;#VmWSPPsC`r*3e6nE>ioczD!;i(Hlsd-L`6(Tl^r?&|829$HL~_skMKSPpXi
z6=}K#xWVja(_2cwW9s>O^L-1w8v4Ean<M$Oo?ABodPUH<jN*X9{}nY%Xp;+*LkY&y
zx@=!gS!m;jExAVM96E*f)N2)H!((@&nUkpaQU6MTrFx!DCSXM+xJn{wxPUdL;i?#z
zlA)(D;0j^8^i()nI4%zBl89_2SP&Vgs)j<~H2QE)70^7Oy7bSp5XdD^TnDgN0q~C0
zjUk5+llHjW!9j~%k9V8~PpxYAop>w<RKeEGF?q4#uc<Qoa<yl7X7e$hU!LtPGE>oL
z*O8SCWF-rLYyZA5M3<g@c>s*{zQo-C-7~@1E#|&|*cn>%OgHOJD=)sl`{<o7(fK5R
z)MhI`n_Iqp>x1v)Pgf%t|MtkNo5<QtgO6mE9_2wLHG>lHqjki%a+P!XP1!Os;m!s&
zWU2N1y(-77FPwqdCH>WIrQp-U-o2X|2oDWS0Ske3!xrZ%C5u~)Z~qt{Z|!v}bzaoN
z!^4|Si?*_}g!PU@1NJYEbC?egBuaPt`}<wNYEU@MC?KGPT0DR*U14wIVz*5za5in0
zfF_0pYsiCp0N-Nf!5$g8xK^Uvu0OH(I4RpphwNMgiyz>*ty*dFqMfxZEId*>$vORY
z{kt>OViD2jki(y^RCqA@Ue&S;ArSaf#ylWyRu0{Wl(iFxB^|c5y-P03PNPFeAWeJW
z@ifysib>)<cQP3i;&KjmYY)3&_xGmBT>y6<)ORn1xrVlGVu@b`xG!S}CEd*|-EJ+o
zp9_cLe3W|caRbMXVn5)9uxcp$OjC%@BP3@Jb=ey%x33uUz2NY(=`=OJ-REKtU<(4y
z3o*gL!9waXfLx7AvBj2HUQ7wt8Vd9BcJHRY4hU*z5uy7j&HLzk0#G3{*wyCUX|HDb
za<c)emKT4}%C+O8(im(fzA=~pBqQ{D>D5|tvAfGKz%BNji_t@wnzI`+!QyKVnJwOI
z+PfM(d_U~AMW)+S8bN^xJ4K!5b6GH3T=LDO+s`-(@wcL76nd+8GGf254vy{UyBfzG
ziv!3DUN=qKs{Agx)nFSM!$@K8x4pY|yV7Z1IhxmUt?mfP6vTn>Au9}OcL0gP`P#Hj
zgCAD~l*VoN`8fLRj~_px8xsZcGu0&EAAxJ|z-~v;)cN!0UAHG9T8j=L%IXD>bEu<8
zo-1;#g(W|9>a7L%UNHZ3pdu{v^mj12&blx6_ofxRy3h>`<VeY5XRY(_VDZp=`A37*
zb$=Y|ar-p$$D*1EM=QHC&GZj*;Kf==66^Vrh`44h;b1F+)064Qi&BMNZnLgCDCTqB
zT*x(zdyIm#K6seCFcuASz(`z?vO5sjAU?6JPj%jg`zQgeDFTQUgjoR&!UC>Z*mbP~
zK->EF2SH4LW<V{-<F)_w_3e<AhTlnQZr8Pka#7rwvb&yuN6`y8&JU<TjMV^=H}vI#
zw9i=yVB0Cc@4^L??gpbww|e!PAYjiZlvM-bGY8HElnTRBYn{La=I1CYt|_jXtO_jI
z-``)^#3b#~<;%h)Bkq;A$3;e%q+A`vSbUCdf4g&PE2yeUh+4=+@zsSJPJ}GRN)FU@
z-TftJggx#GKP$G-S|6@2JvvA`mn;#)43Qu8N!FgL7px;x%$QeJkGN<Xdw6PGjltcx
zNq3V>t~!6d_X4ior_87T^<1sgxw%KhX5HduW@fGn<&zL6F2fW7{KBa-1|Fdk($q29
zdaO!JD=RZ0L5!n%E%+oAU&4zQ$I<5pIpOBZ^To)h3@As6IAHc_FdZmD3?&Q^b60%b
zmUlr<GYww9>}5XUAl@@UG-9-2+BOrju7DDCSa1_a2#5=&4&!F$D~J(fR0?975pQ%T
z#o2{<E(Gz8HzWegDCV7r-+@oc7vt(RZXnflTbGjg`z?8V1c|#{uyhmeWI6+Tf9gva
zr_8!BLAVWLC2Xu_BQCSujrn1AJVg2;c$mWG6rB09+zB2}zt*xdl8h$7UYs6wTU>WK
zFH&#BH4WT-)#*Hvby^;0H=*Nx!0>tZ<kD6okM+8WfR|pDe(lc(5<$|ZPb;gc_G0jm
zGG>6-q539i4wJFU?QvaiFE0d9^DCF_e-k9csuk!}yG|eO*B+(=t&;~wk_DszV8~+M
zFK{B1{B|ine*8e$8SDp(=HM&ADS*ARVfw7*M?7~edCYs79BVTgZNa~z%8Y|U5rgcz
zi<LupqWjYd{x4sm$Q$V4;F<M#h(RFuI94y9v5V#qq^O>JeNhwx+1lE=E`7v@$dt)d
zTbm?+f0BwZr1_`%4MgW8&MC3&SWymRBT4*|lGU!dL{B7MpBomnNmyE5oy<;&*&KFL
zfKhamj(BE+<JASX(XleodPPb;T?Ovl?Mr-NZPDvc8=OZMkSXI2p^KE!+3LAn@EpZf
zLju*?zoIE`SjBkmVn?#T%62xe*6Um2K^73q1zguMu&W1a>7vt-rg5Dmme`(D8S?eT
z5q+Sf;i?p})|K<TLoVa51`3P=!r8RbKwX)FP0F#l3k+_NUdn#*n;O7{SrJ6%?Guae
z$Vf9uE)WTXD@F*n@xHt|Tf=J=vs7$LS6i37d(8jmuV0ifOfEZn`+Q6M%uL_Tl$QpQ
zK8IG{M?FP(dJFN$uRBaBKB)7?@im|jZ;umxrEOi^JHHGnT))e~_9SsVXCRR1`bWGM
zK(SzR)CWX(9VUCSWInfam<!1B)P^hgZEmWQeiqsg1p*=bRW4xXod8WzegRR>h{D%^
zO30<-jgf4uKyPnaLPA}Jer?S%FhHPe6!3W53uWUcOEDrK^3XM_E%pw_8&LStj|2K)
zTi;g;Cpg?g^i(zDM|w{@Ks<UP33;s}5FJg!BmkieG__Vk1f@63l*@##eQ1$3!<OV?
z_qVoO0F6lomspSFfjW^5P?^;A6)Z&aqZ*ekdT@8(A)SUw@3Cg-R+h{<1~^Q2H8=_a
zE~gfBLgV)pDM6>X4scg$g(huh@=F05YP4y%dLcG!$Gt@uxto&m8`o@xj=8HFCUJWm
zG%Q^u9nSx>bX5uhgw>`TLrBcGPcn=?K0dn3<tBxiz6NEMER2kd-4;62j;)sj1+`In
zVv%31{^P^e))osee?5GJy@BHQ_U{p5ztuK=$%xnfJjK@g%MvO0v<@R1qtC8f^>tB#
z=;a9F7s^ypMfB3;sZ-O_D}BTi^eU|ZN9SRIJ_6q8g=l(Fssb=ek^Q7Rn6f13H}<<(
zfNLW4FZ1!;1B&^8=g5-RQ85IQw)H%SK`w>(0>NRmgW-#ab-);CH~<QeKG7O6JNogN
zR)s?**djxwP569s$klbga262VP&Fx>U3caK24ZA|$o`rNx*=iVy8ytiFV&Mk+<rxw
ziXw5)7k0pWi(n>GQ&JvoEsaeOIDi(>1tcvjE-tUowB0qw2{{Nrrk)W{$$J#>tI=A@
z8(%rKm6j|qR6i2M1L~yDAsNY&h_5f!!$G*3{uOQA_lE9vC;&I`Gv7$xTa}F+LlvZs
zwdwBOJY7LlduSKg&1uwg11}II;Ftx5n+`g{Yyd}1ha*P!suVE%4%p402st!TJ7)lq
zq7-&5N=i<Kpr+S`N|rDKED%+03^(!I!O@9rE^}BSY++?#kpVpsbWl~`{EZvY4+>eB
z`0oZ6S=`e1(LSGbqP-PFatQUkWwsAMybfP%zKg;6+Qi5|mYiYA$*Zna5*ToEH<Mr=
zOk4f8X*YkukCbB=iaR%1LA(`{k@3k!V?g@i%a>gP#W_cD5s^Tcm|M@-b|!CALxiz0
zR#J)}aY<z(!AF+P2jUz>kmH=Nn20xW8z68wuV00nZmN}v1{3B>aW#BwdhJ*T{&_Bk
zIi0*&Ud70=Q%D}3=nb)TaricbMGujzX!!iRe>iz-b94EOompKf2o3aMI%y}x*2UmU
zWQ9`mXMm+2+ly&1R05w2Vidj9*w`4CZ9kokj{!wXb2F+?!rU2uSc+Fo5LgL7_>5c5
zvFTOa1HncKXf8^CF?w!tY+6NSKUNP`;}568H1s+XZ~HmyuVZFW;RqCEwYzFZhBbg^
zNZI*_CFH;bbwx#yEZW-R-WHg=UZB(t076==N@r6e^tz~>2NNL#=sMk8x31Y1hpa(o
zD3i(>cH}@E<u@o2@i^SyG#{#PB&|K-?Bu5+<0%<Jzh7cm^_2B%@68F$NLl}&AdN?l
zazJdU(mk2=a&+{*>w&lVH;#y>f*_m#IWKma*8*IS+`|i8vCD^$990uAB_OV&VGGsv
zTGs?v@$eC`^?GF+PuKJBzJ8UJQkIqdYK(m}ScXD7TWnvcwZ7$G*#~6{7D9-}+R?h{
z@M=`HL6Exfy*!KNX$SMQsZM~#SW<<FwDfeqW#25db#!97y1O}cV?bL+<=F*OV`H_d
zQRU~ywAU6T1l3w<088xU;oAUsL31%hppyqJy0wHd0j{$10C~rCj|b!?=4gGqIy4J{
z%Dt#-J7f;%#N=vgfW&Wub^7u7CCfK+x8(-%u*k^i9RYC05;LH6Wk`FTMu_V>R1}0$
z6-4({A<QX549MS!Vb`sAIMEVjg$?J>&x1EQ8~h*v_y-0$>}C;x1zLI8=faB(g+55o
zYQQyb)HC?edS;;MoztgJ=h?cWqCDwIluh?$YbdCs$-brEUk>t8g+R3a<%0DTxQsqX
zb`%-6l7R<nwOCAkL3g{>$f(ll2!gl->mRK<f89hf7&0ysB_4n<As)S>X99L@vf6O6
zJx{lCrk+H!2TjUE=($RvBuZp=?s~rd5k+R5gZbn}f&W}c5C46Z4K*DCb|zB0Z-nA5
zq~#k2z@ZD3^_gLA1Q?Tjxz>B(PvO2acVR#9`l(!=v<_1(J4c1;j4o$zI?xU5`0!q<
z;{{mJkl%sgd(vG62LM^{fr72o>3{2y9rzQZd=Bj+nAy16d<{LE-_z7?NR&WgN9pUy
z7d8D4BrJZ%V|q^lV+mtYxP<H^Tnx}GEe=Eh8(g-t8aDr_`%^e;H&3P~T5rS$(>q$a
z#<H5Q9|KG&<OhCZW&Wh_R(@MBLBvzSQoDEH4kq8Qy1(f+>LOl#n}>zV#@&HOO8iL1
zw*SD{Is!GQb0K2z`9C76hoat-+s{m_dJ-ZpXcC-+C#HgE{HB|8ZT{o+f3Be(pxN!^
z6*9{UH@SKm@lbrzkW-2M;#Nrn_%?k?57Ms3IoAM@`gM1d^b`iCT)5C<$ixS~RDw?v
z0R11XFNp7BDlddto04%N$P%k7+(wFlCyRRF?-@B~Qv9$j-u17mLfYlu>05YS0xC)o
z=R)81p|5{-7sZjOXEDBsy>1E>zYPanEIjS6JFQ;DjzeJNOY|rdFL}2<Lj6bKT~cx2
zfLS<7f!@5{?4g2dIDMw^kmO(MPm(~=QYz@MsgIdmsLeC|J$_sCsX}D^1Bh(@xn!Z%
z+PsWM6)GApsl?#IKmT^qkMT|lZ+}!rUw<wv0jnTi-=QIzHk(b`{ns?3RN{R@&WR&h
z<^LYMYlh6_zm{r929^rP7s$m=2TB2V28rMvP6i#5Ki5Q8_OX+ntAh4rsR5qE{7<=5
z3^3jN^n|per&|)?DZ`$Hjy?O7dvnLuUH|{I_%%a`rXs_?U+yT&K#+E@M06FC7K6+?
zHzg))3eHiX%f;|yE8$|HCdY=wzbu%T%fhHV4TN0;*<z}Q_-$Fj-XcxY+@ZE2`oZTe
zoc{ECrIJxIhS3TrXl8y>QD+X)tOFabhfkGmuI&JYlD-9xGuC%;KH5D32nvFD`m4ZK
z{?6g^;mx7uE~izX9lW+;ZLKKzrlA$&X~gRmESeo3aodQ)z117kCV#IPI#{p0w)KB(
zxbI@&m%-sdtT9|y^zP=F|4^{=zKJ<PmGn$p+>#7u$$elk<9-KQypzRl>lRX7c_%zb
zttL3pxfweLrYq*X9F3F#A3)Lli4!MK9zIvtp7-4od>OpCQUi`XJ8hKZIAO_Dgy?2B
zhu1>-`}=t~ki`&cwZ<KVK+^*_MlN2YTBjWgDJswib@U;d6sBs>5Ar#fFc|ImL*Rl!
z->i>C0JKp6e!{Z33Nee6ntFcwDLjIE=*SwPmklZqi-?FGaGFXGV{95qwzsz-8Egm6
znzvFVq;?>;S${sfZ6PNV1Ap{{<^GZTpji)lZ0bU|mP9j?kkJH3o4Qzgcu>$D$z|*h
zTC$G*%a<?1l%t2HdvYA{xh;lp`eToZfqiK*)N}4xeb5AL3k@4UsjSQ6FomWHJP$j>
zRwvsz)|dYk(3k*XMMg$K@W_#DwtD20p5{@l5xh1>&1OVQ@IB@v;@xO$Y|O;W+%gV4
z;N?gl&f0TS(3!>L*UpVY*daJ^B6Ce3=cY-u1BN*4Kma@~XJ@hMS9oetTG~aFP9w}=
zFcBuErWU}`^LFt`XnN4!o;{m<jF@t&fn2}m!-K{(G$$K8jM7lhbRes)tfv=;%9^OU
z55mqypSI04$kLdOMQ&d#d@1u0t{b!h%M1}}ePIae=mm0Ra0);gsJ3`4EhD31Zk{!3
z3+WV8m}z`Xt>WTR2AS?`R1=@C*R~_1l9rZ#`}w!^ukP8MkyOjfxtYSxD+p1=Tly3I
zDbX36wW}ax&Qm!1{q0uYfLyP7@BLpp0No^i_P<e~AdiRRSl}<E>S$ZKhp1acH3esZ
z^=~cu^ir4Ic;AM-)`E|3q90$2Ub{c(`;XzH`bbr2@n2W95BPo6|0JnI7#mGA3L|Qi
z(bwy?g?T%0@$m*k2|)#dnu#QkH9Pr7&v@7!Q2UPy<cgNdx<EREE&vWaOTHNS%DjIN
z0n73|Et5R+=SP{iLXD;O@gTE`9JkSYj7KS8T8L(g#wYEDXaqgkH6Y}4K{^T2Orxm;
zV`k{E;Ti4cJ==6D^?571u@exi27TNs<xR0@R_K{2(D}yp3G<~KIcedLWJn(AHkleG
z)uJ*82x&|*n-5#MgbM^ucq85|q_m`Ic$WpTK^|r~Y9;Lch4g^(^K*-jFTSP5(TJ~q
zMj6?)XonHGb=^`NB;(PEP9M7WjB7(T9wgJ3f6~9jJ=Pxoj;Mar^)iO>zc@i@D-M$I
zsf0#koWLu%XzC^VOb6$e0Mf@a@gu*(K&=2g+XJ!%8!WHM*y}TAZ!7MD-h_B#p9dYg
zHm0?9hrIOKljmZGsJr9mtsDqcP>Nn=LLp{`gIQ$x6$W>QhZHJ?hLTzgbRGJqfERBI
zReqa1eE{w}ALLMTOi}o|B_-}_De!3UCQJOdy~I9Vh!}H1!LhdjvA!qco8Qv&1fGb9
zjI0AgBa>u#!g=C(Yuy%oVSmaOOz#q)3vcAic}n+w@5c4RJ(6^9aBR3l;I%XA#(E^8
zRjx?gwlYh&PsmRVVBj?-qyZ8e>np7s7Qppdnws9wvq7?3(0O6a&Ujd5)P{L`HCFn-
zJ)M9GeF|`J**G?k?M2n#n*9xJlqP_f9-IOc{NZ4k?J#Rw_E(0G1#=Y*=i*G3!j~s5
zLL?}xqD1sv#_&LllxmIOi0CzUw5**k!4{cyGjOQ?(gg^!KmO$8PU8{kbCi#ko%rEz
z+Ff{%15jU}(&YZjdGMYBP!mGV3`k_jOOMza5{|G<Sw46GwMLW5|NI7WseP;MqWNoU
z4&ZDdcVzkf{Y{imqIlIh{FfSlTmd<~MEMX6M$E6Jzi%cVC!~oA$KWpu3Jb%4pVA1s
zW&n3V_2FvGC=K9Ymss?#7OWV*@PW<fZMqHnKQl8Eh3}!UvAL)kjAGSN8Rn1{E$J^~
z+(lP~WrBMOtWsFf$@6Y}e=a6S=Xk}<XUEJt5}uT{E}aK{mU|}YFQfsF1sQA*vQeNP
z_Vz7ZdiQ=(BWTha%4kqKK<6H)2AWz&HDk!rN0v=}Ncj{dCW3W>x~Roh>-T<RyikoJ
zqmT$MhE&xM5awal`pI*AF+1H?MJ0n5tS%@ZfIVp@dJzgz(o_byD3`*c@kYFnJ(YK<
z|De^C8P-u$O+%BgG5q$ZaGuMRcfRli5DU+(y$w5(QB?j864{Z2g+cR^Q2GHv9(dtu
zRe-nNhb!g?m4HJ=iPcb+=-wEKEG}4K#wB<_eb4PwWo2cD+1ygsLZbK(3;T=_!C87K
znZxh54b%f7SYUw<K4;@_f&h8Hy;}bz-EBYl$+ADhK_j1I1?3mzlX2bPtE)79+fSS*
zm<nmEL|=^bFNQ_Y7^WACrvqa5#Lu5iR;4ULLRFvX-+-Fol37q-Kn7^Omn42fPXuod
z^gXxL33Pu1V@z?9>47qY#$KhD^3ZNzdJ!fD&w;P@82Jj(*0I#Y*jV?2Wr9=d0G0f!
zo%c(WFDe<<t{^blpsW?-9^4Mn)J(j*>R_0udb{nMM5ysmz0P89zxoachB?*v9~`Vk
zgJ^(){qEf-o9j?414OUI&^CU0#z7z~DoU$2bvqD*T(Z}5KmKURuoU+L8h*?Wvo3%>
z;{WQ^`ZkT2$!Q!!aerxheqt6Oi=C-fg?#0$+qbI~;o-awS6f&|Atp)(L*_~E@dT-l
zpI;@7Js%aSXZF^3xLJq(I*VfMtsrZ9sd$lowZxA)M3l(rVZjQ410?RZGTxsFN;UqK
z^(Q|g^O&Kfl?BHJHd-)&8{!3da?M<I%mXOr14qye8uaX|F88P1oJE3cze$u=M3_bb
z)D6r!l*plZ_*-iYr(Do-g7yJOnB}@Ij%go%LNgkMl)0{(OLZ-c)vtdOTs%6rz1a$@
z`S9R!DZ1RFi|jwKjsn=Up6mRSLKYz`N6CC@;paT3qjmnPGxTp}Uf)as7bd^_9&?dF
z2U5uCkU1?|&>y(&lDoCXfT$lAg(Y<9OBMDE7NR_$7pc9%(T*!VJ$Eu)eV#v2%}u^(
z!N#=`&~KLPEr)l*ls(@pvD(iD9<%Nxo&u)PPbDubWF0^gS9+Hhia;)UQ;9}oqqnfU
z0D0Qi@vZC1cMo0yPXm89&=;hP-BCh!`EiPf*El*533y(daF!#YJL-D!0m9;a4Yr(%
zI7Ckfld6WF8dDQ(#+tsR>Ro*=w6&Lp4_tK1`>(W~;U@_g4_V+;4#X75^JP)e>6Jf?
z9ZAH0kGn++*NIb6V|fCrpGtUhyaiU$_5Ma_a0&^{Jc>uWy-)r2{u-U#H8y`S6R3ee
z10f=W4mXFa&_v|>$A9Q<lcD;Ex+9tZ0k-oOfvP>>J=>S70%~E{n>T2t6CCJVR=Z}Q
z$t$ahX$C0Q$bg@rCQUCDqe%t~_SLR}#rQ$D9pCvQ{{s$|ohN}hmdeE%ZM3`s@EZ@L
zri6E<lBK1jGJi_vvyUuvyz#Q?f|qj5(AXc4vK)QQ8*s5ot>=Er;K7jdh#Feg0Q+Au
z7}X4O^=tL4tJlMKHs-Z8jl*9`G3e52cmH`TSpIO#msb~h(-mk-EkW$*1sUjn5o4q+
z!QX@j&1*94qE8;JQa6E0n&4GSEg=m7AY0kWYC1qp0qQAH!6X0k=g(P;q!5~tad{C)
z73#aA;5RQHO4?j1>0#&D5q?*xgXD4V%d=MpOQ2r&7L;@l5VClbM?&o?%$cgIB}yK5
zhRLM5<`Sv@Fh$k6V|AdzOl9ZS*kMZ`!RZLHwhXE6Pi~^z5$Be_AL#!T1g7!Yv)$ic
z^upM;3#Wr<1CA-TtC7|#2Wk$xw5>ljm|vTnzd8TM8k&KufIi$)>1>VJ|Lrk+Pf}-r
z?9Rl-CI^8nukpeSEA%gwq57i}ttSOp-U5=@dbLLbK|&d<zR~xWoDoU%%svpq{J()I
z#JFy<ly)82ISZUqp^@u~RPOBEX2V~G9Wamf6!(9jw2$~*&CMfe*7yG=cR<Lq$f<w*
zmvB%|So-*n9PvL12d;DbZ0M_n<^CD4za`c$fE&{d9&YEI{Rb$2Br8nY%X{@V97p*%
zT`4z;nf_amkxx(bxLSBcs%@qxG%|G*4Fsqt5;v46IIMN`f8*mS^)vH8H@)LgmB+^7
zO^w%t)BlN)gB;_f^Ii^KuYO;+5iX3%G20vCJMO!-f5?9${VCdWkFL#zjWGPTc<{6D
z%m2j2QGJ*`Q_q3ok7$<!iN}e4>Y0Nbb4M?a;+46tsDu%Bmn0#GfUv}+5?sh=Ix2Jx
zQl<=@U0nO~{I&!X$iE8j;1XDBSA$Lx^aZj>C^+?^uY=0iG~-{)EcprkEO43L^WZ4?
zV|>Zno$nCV2qqQs^Ag7vYNF_W*?xg;X{%g^II3Lg_T(c5P{X~sE~7G7p=SGVrw;l8
z1`Fk2DBk~A$nIMQ?19Inj{&V3n|>4x?!Q_GB+v|YSx7hyvnN%cTM|lIAZ<o^{=BAH
zzKYNsI9Uw%Y_qSQsPlGz2OEcbsnsHYAyTqLYCX>5yvNO2!Ow6x&U$O>2$HaO+#52=
zQh>4?oNDAvC$kyjuio*S&b>K5I8e=#K|Kb9DD(n6(*zk`k3koK<GZ3;<#;|aAF2QH
z{l(z>C0@RyLl8vcHj;CUo%%=_&;;{SXY~vX!SKX1Igi0D4T)}QnT)0CvBxginlb9|
z6%_tR=A$M;>Uueky`d3{*SJhC2{~{X*)7QzC%d1Xj_rjI1|O(her_C#gNXHa9Jz<1
zwl4Z2rwSLXnHZ>#2#?H$_~1`OoL7XwN9y7`jxcsw{`{?)=vGJsuidH*hhNq_sv9rj
zKoCY$14VV7L1I5{=XyH+7>5qPD($Fg;6=7k_Eu*8y$#;*H06k{TTcH097%2`{+NNs
z8^{iP=ns2P7$7x(cxU}FfG%<h$=0uG>UuXxHJ-PiDTZ>qlUJ^!Gcxfv6r)m77#q+<
zSn$4t$SWF=0-kv`22TMDoW<QoP{ma;_)l0@H_Yt(k*yH>tz`OE%}{GtQc~F|2Rzk2
zA9~_?oAo^(JZ-2^6DqMrki4H=sp2D)J@UZ27(dXPIezg;IN?qDW19A&`W}SMr$6Z4
zzo>mK`VwKZCHQX2xqyo(o{o#DdJ9!1rN@fxu^W8}PM)U^6ki}ym;Hk(DY)&EgGCRe
zyrlY*>(e>V@7vssTe!pbU({|_d>!=S)5}T*TAWFRz%FN-`gN*nm*1!559i~Xc+K)I
zJT3OZK_XUu{(L3Vh_JgR1;Do=zTe2Y0fbuW1v}A`m&NS9RmrCI`{sjqNZqQx^QCim
z#kqd%Wq9QU4wq7le}%iq`}tnGvf)v#(v~3tJCcD;K-QYXYO&;%Eji+y%`|g|k-&Vj
z?fboj$V#4DPgN_^ia*=?FIGCqWt%^LAN<I%k#&?HBT)0sfygQWqF4^hHF?+Mk;9Na
z01!u@n!hITKan!M!;>XRP%wZ|BwP}@_V_Xv_f|o=|9JAJERU_*bhrsYj3Nt3p1GVF
zoBM+XH?E^IqULZZK?p{av{e?c={xdcfQFX3rHl}%Bfa+c$i&^KrPFT{Ke{f~khKVV
zsDE%Ye>mIfK~Kt#M@~bXa=2Gg^T`~OG)s*r-cq{yG)4KUHBnq~=3wmcC!A!QZ?2t4
z!4(pC!F^q&VpX2$@@=g`acSAAt?zFyE9dJeKgub36nTzR?E?n7SEv<^l_U|$#D6OZ
zd-wdFLsmIFITR9wo1e#xJo<_0{)p{?yTO*AO#<f}TFFq&xJS*WxV5#tI-GL`8BG@A
ze_S6z9`0)mp4oqAozU$diu>)nV%EXImQgjoY3ieDFBJ;-OzGQ-TFc8^mh@G_bjv68
znN-ob5U5LsCce+X7HI7uL%e?oIU1O4vEwFiNXdrw<-DynyDn$3s=dEHDb%l`0yHXx
z$D+qz!3y@m)V&XpI*ZmqIVnHS3D-{Hm+B7f44A_&9*#6W!jveK(5NZf`NthR)DEk@
z0?DVJF9~Jpogom&876)D^-aAoS&+v?!v7QDO6vCNP~%Zo$-K5i$O>j+d(>KrJ6Vn+
zHWB|Z?k_W{2T!Cfk}5Jilk}oqHKpRa7=1;O?qp>)KIc_-z2I|{MsNEc1*^JfmDY`g
z_8TcbeBV$UO%=VLWoiG&3C1KD>?AjpZNn1s2?rtHo}E#Z#f8F^(sR*E2IgIN=w|!K
zd~5Zu`aX}BR4L<WBAudV`fjKWKe6peDVOm~Wm(>S%DUsOdIQZx-g-J1Pl6nOq;qee
z79OXeGnw3U_h4W=Jx^En>}{RGXF)XU-(|GEG8D@Ms#kt~sOgV)7ZJNZ{;BIA2$^EJ
zbcrB;RpZ=&|Chaefopf<qRxrXoE~dq#zAlrwq{gQb?-&>W@d?gLDan)8&4UTkm*h4
zd+rAZQ44EP90<9beh38aifD>duqT#R?<Uy+kU_?u?Vykx>u7gHpim<Z^4d(?+^T5d
zJ=7m^V4Xni14-8k?Xyz5XUUY5Bu(O_Jmy4_j~LqX@wkpTz0xbw<@M`^q6|dUI<D$H
zw|mgY+7P==nIbe1^#Y>JM(Z%4Y)c*F$zmuvZ20med?yA9$LEJCF^(ff1Ua@gCLvO#
zyp`WjD0lQ&EkE8Ml=7pUN;|tFhwM^N4=61w+XICYx#W5-iFbAZftdl%hcdlEo>~Uo
zCJ^aF-92}kneKxi2{jN|3h^R&mQbO9)}8^%<=Cx)f+(Ix-xWdCrR2Qt?X)ncNjd@k
z-X#ojZ7S*V&0{uD+564X?N3@##zP*IVQ$lJR31<)vI9*DY*2)b=G~@9*$ac?<MVTJ
zSW6*{c+Y&{z#T1~>Pihj)stfD5j|nIjUH$VP=g|dwiy1^e@n_??}fC%K=~bZqb(fa
zh2mRp<Oey<QpIc@+Ai=L7smrG29V6wEdru}BQ)ih!^}lkuKoz%V7`96d)*PrZ3uej
zEq#ghgWu-ra}^jjariz((Zf;z@(@an6K~@~VQyD(8)RM~lR49sDigUeX2Z7z-3ZJg
zA_oPQw{G1!cmDkJhFYx8QO&i^2eIq$`fD^dBA%QVbjm@I?rUnnnQ(2ZPONopE>ugR
z<qg3pel)I<>odLGkdCI8LMsoUSP&|cuEz>G%X@9N>N{*L8KBH%*!_Z9iy?2OO!vTV
zNTzxXI1`#@hDwXDn3x=ppU~+73B_KHND4}|``tg(uR?*P>)eONP#_vmVV4OtUpr6`
z0mTqMb4vkJC|=q7CEz`*IFx_c$eFL$PQjOc`Ucwr4|66yFTJNt(OWgRVxa16939#I
zED=`7A4AFSl`Z~lWJX2iBb4_)oQi3q<hBn1a_Z<d_Ye3|SJ!(I!JHEZe~$Q{LXNxx
zKj7zE+>>a)7OzFHaH~f5Uob4}e}G|T>z_7B5yj^!b);hCb`wlA(r82k*u-rzb`rA>
zS}Y4)#oFB#+sE$uINt5nFOhq6dx%=z4};X>bg4h!zQ-NhJ?#l7L|D-XM{JH3BHf%n
z&P4hdt}BKR-3NC&w7R)oF}XMknz7qIhzn)g5-(2>G1AuLgHm%JvHzWC&7^&8(lY(v
zG7dX+cFBJb819i4zeN^A>=JT}JG&u=zh1!n+xyoAI~_boH`mbZ78GbD8UzBho+DH5
z;yS@H@ezHj&(0$2N)u06O@{io<k1vuW`G#x_zC6ts6MDOK9f|hW03kg;%>Fw;#GSJ
zcSty1=*{A-c_++|l!Y08L<1RJ)m}+1_Ez%z?_};sIfaAK!zJTql4fIg#`SQsi>Hwz
zT9B5*KP=Y#tMFvo768|&rI)mIpd?tm2yz$#wEpA?LQw~mBU(F+3%~74Do`a)y5{=&
zS@0n_01N-%?C>gvX|!@27Txz-Kl(X`+LS)p5?eR>7ts3gX{~|dz85GdgxgLW8Z)%V
zy>VFc>k@BXzhU0-^_56Dptg%PpCx?4$~gByDUjBwi(?^kIfldO%};!LghnXYnk0_N
zk*O@F>S=2p!Q1f2*|S4Sy@}!gQ_t0Mddx&pp~AZM7E6V<F!O7K;sw|B)MN=`NPq8d
z-Z0x)w5|ZE*qIE)qQw*eO4Q~=M$hdL%%%S_1TPwKgorybvMbhETG)+wYU|q25U-wd
z=_?K$f`z8jnWhTU-vq-#YzHPA4LS8bJD>iBqmzvqD%fACC5jA}OOKM?hHFf=%bY*o
z_2dXZ37<p-=Dkvl{7>`e&u3Yb?C#wo`Vz3k{)yk)LTS(X4)lkx0cyjJxZFyZd{1VB
zr;05;>P77K`k7x*?gQ(Inl=9lk<}Nh_!}~EQH<6N%>1*xDnJ=SCRcT91Mm6=H8io<
zG?`IAGLLj`*32lqTQRQMMp<gP_b!lHU`0>AnrJ?28QHM&Km5p;EAG;m>eciYki9QN
z;;o!&OcqC7wr2e~)k}u#b<UR8T=x8ADSqb>iWg_jrt(;Xj^vad%$8hpwNWWq38D%E
z>;jDoXD#FbY~PKy6m;tSK=D9yI1gY3R9^M2Z;f5&hqRPZdNa#V+-BF0_|VXpr1A?V
zD@u%G+BE=j47@%Z$emBQQW*xnn9knRU7v@^ym9T_1+m9He;K^jW&cCA%-^b0j=|W8
zqjh3o?=s$(7xpes$@2)<>x|)TckONajJ>DG4{T`q8p>`IaqvAqMAiR6)r-YTF-I7)
zn>y}SZ!WQE@fG~^I(0UwzR1SN6#XFQ=nuLW+&pjdAs?8o`{Q*u6L>z1U*i^MaK2_o
z16!Z!*>>L_(~k~=gwV_4Pu%M@ysn;|K?1J4n03*jca-YwakvML!O{nr*X>f=a}$oe
zBv-&8f29)mDlD8WBq@onZEBoPn52$eZMNN-BoUwU6zLxnV_=~{`Ul0N(Q24jJz?1+
zeO*44WYsn^HU4(th+X@y@8_(D?R-R~An!#`daN9NA~;b1{P-ttTK*lZ{?*LqbGw=b
zr6XyBw=-M5vb}j5HNz`)ce0%Y8mc}&4?0QwKw6fld@xl~v7F*7F;WwNP&|B1Q%#ZL
zIlrv(y9AE#36DaWn<=aK{!X5jT@aN@WxrtWLT`Q;Ha*{A)cesZN*2>?=KdLmvRCBW
zTMIkVoc&p8;yR>bREYb9_`oL&my(vwWvNmW{Xs`5Q|B!1#8Omm+IXM@@tvg_H(9c{
zq~b(i17p_24QI*VINi+}XcIYiCdtflu`@?g)a*_W6`E&71=!Ha!#6(`%Dd-#Y*H~V
zSeOYWgQfRLK0}Yz@kwO#?%p~vw~~?%-Spn}r{R(xV2#BVgtrZ$og}r@H(k26M6Z)R
z?ED4p73^ICCxH}52(n}^E$bh?5{k@ga$8`XD-R_Y(SWMso)@jmlwaq=4#j}T`2$X^
zyVxbI`Y70+K9WB3=8^udWc@+Z8j8=30ghl1-pTmn*?+k^AEMFnI;201uSK6bV`Mwe
z-l*>KajfHFz*mzH`eqa7@NyKS<NB!puuA+$j{P-2#bv}u-*l;!r>IykrXZ}VWNOEM
z!px%h9ifK9+n+X+AYd2;OBwX}7qhh<jbACkL#)SFL0??D8zHNF&GNe<pU5>HHTCq{
z2Ftcw)ItgT9D8a~wb5xgWVt%&h3Waj>9EP5JOOJNVcF=F3vXacIa@|ojwJ*KtE|CZ
z8ys+os#2C}W)jeO^lJtZZRj5RKx^%6fwlMp{-GMh0&9wW%>=twVb3jF8|%54qXOHq
zBsI>_Ql?+irL6&&a%C|!DD&vng{mMsOYO~8DU?$jL|zyg5aHa_MtQ_U91*6Z4Zj_A
z1e<#v)!JBz5o{8Sifx;&t$05DK_u!2;%{IoiamCcE#Xb)RqddPl6k>MbnGY{DJ^N|
z*trSgMeEZsB@ZU;&;g%3t8p9|)!wq^cb74PO&z2lWFsam+3|)hq&U?x`_trC_tMYn
zgkx^t;a=^!r_)dO;^Ypx>f#`30e`^3m92FF@0KQ;_>@be8$`pd*$zLR2SN?pF+a)R
zPiJPE*DSCrF?|!~Y<lBxzk$3E8gmI1)Hu?8a9oJvA=Up0qhl5<{dUhi5_s9x-gehB
zk_vX+WN2EGlMO8neM_9`Lu~P;{HtXEe)JE2{4@)*3#zOyNHv5;b!D_$^D!E04%+s3
z1IHrUTsL0-Le;;;Kg#(XQUO=hnf}6`nPZ0Ic+hn?#`>!jPXa+cPnLeBKcz~37sJ6y
zbC41+ek7Wk$zABur)V`?q=k_sf3$%7nZkcmk8}6<@B(KNsW2SRt+|M9o3fwF>pP=T
z&kSYi6aI*c3}7uZ6r;Tk7SG7pE^Ah%sVxe-6JiK+>DQ2?ofrNUd(%TZ>nFTK*h}jY
zPll*x)TfZPu-UjkE<z7Y!2I>6`nUHWg94d%y}TYTG|em)hUVZu@NS_|I*0C?zkHbA
z?=7Van@e|@ruNd^vHUGF0|hW`8rX27SN`2$r;#~E;`19BumC>nedi-MSn^7<te%JA
zRG1%fJi*S`L>hWAK#9*jtW?QASd^bQthn{!H4U5lV1Q#-OSB^nPSV!&$iEWZbuD+1
zql%CH!#8I8RbKZbM^%o!`DMjN@7K*(^}@M5&L>F2@jJ76#A_;BudnFeU;1x%>4>Xj
zdsGYwn*=xG7)wH>*g;)tq3U<<)y$CU&Bh>IosU;8C%=!4n1NtUe*6A%m~oX7`KgOg
zfRO1VXYuj`?TJouQ+!OGncAyU>>4_n@9=bRzFxv@84aG;3EUjfSXh!sy^T*AeorAy
zU&HA`e{6wZY{5G@f)f>GB{r{fmjv!Zg$AY}IlqsWyXjJ4`TM`!O0#9#kC-EVse+5D
zQygx_R$cd^MD_7Vh}CY+oQ}M}t2&iMnn!ACXL<5G7kH?*6PW!0YWaTYe(T2rzexE&
zy4MWIU7h>wcUpS;=tHnt-FGbm@?~`6N<dt$(pTsv*Kg+^S%4}v#->N%JQ;hIpnK^a
zDJUA(j4Ltb--z4dXPS2jPoM97?Qz#jp50j}e|_?&U1MRA=+%ZGQza}wz1ZseDzPu#
zoUtT{t4LTn6)+>N{>|u=NbNMvQN@0L4vh1tx1HOeIO@kzJ_LkTx`(kCRTr+9q8?<X
zOV~<50h|Q*9}CjcQc=ZLwcyFP7gl4fECpqC62VPSv+z1i?Z5Iv9m6E~{%GGuABm@W
z*J7HP{w}-ESdsP(59Pwl;4kc5-R<9M$_5isM6B~rX~R>%X*qN$n6?Y`V&Iv6l#I9?
z)aZe;8E{_;w7|9qpGRHNk-}O>3%A3suh2IY`tlVe9)*XY=qQ$GN6Lz+p{NAjgchtm
zx4=TxA?ng<o%_m*J${U6qho3>p|-cghQy`9Sl6RU0NQ*HDn%>0p$6U2QV=TY;Eprg
zk5jd=5oCuc@U6BXn~q|(arYXyZjaL*#>(<4TR-X%<@BrDi`iJ(7X;#*CL3z}%=8!0
z2Z4GfOmW)+w~l4u3cDVW%g&4kI#xhXLwfo1TlwfH0#~>5EbVVlslxa5wDv-@u~1pS
z45RQ1&~^Qp+?I*{1q`gRc%H|y7;X$z0j<UJg_e!z>|8yl?#;D?$3mk5R=K^RBy~;*
zoqWLe{kijXUhc{82AvlREKCu4-OcvFslJUT{UhibmQACw5=#*mad=deJVA_r^b)$l
z%_L@dmZH?H=(u*O%KLKXyJ;=aa3j+1YRfuT6Vi_kEH}UWFh&SODm2ExTI*t8$F`!6
zE+DHj*5@=hDTqEJH1k!K#FpQ;r*6Llx?j|08y))n*f7z`l1VZ?2kZrl-p4D<i7V*g
zFg2g=m>ui|V`nkhJ6h~K#^%kI20Bl1y}icI+2D2f5QQpz=&tik85}*8sr0}nSMn_Y
z0Vxep-N|K@I^If$wRg9y4_|%7CvamX_)12~U9I;k)R@3>u%kCzrOt;B?<>=Ng*aSx
zYi)%etI@xCCXTU9Glf`NJcsbsXv1#pYn&8zM9rt&S{~;}hO9(Tg<lSjMM|FT(3hi7
zDblJR#L+Q>>&^UW&m0N6dg+$`E4C`#Dv8{OhLS)Tf+X%Jk|U~g@;DlZZj;z~RAo~5
zTV*OpO3EM<3mg0GU&Gj#XI5@z6)mZ$xfin|8MyyTK|kb2{wW*%e|VE~R2k=P_7qgh
zJuZh-lA`+Ec<hrZN_NO!e2W+5kdkKAlB5A0=)z=syoRcG-nJzdF8_i0o4-#$po1JO
zh&E78Fw^w*GEQY#5y$w}mdNY3*6<JSYlVI&gM|7$7C2(S#Qy$k-(*N8e>Ewbi70sJ
zZe&DX>n;*FKEBH*Uh`^v9LpzSd^SVa>n`r~4G@uzazgqW$|C6yS4B8)2Lz{dNM~9{
zJXN-Fcc*P^Dz$ZYztD(3@sS?%eduH$`Rm*0pHlqiPyf8R&kt3Ry3jzP3}=f#K~D;t
z9iabV-|JwN7Mh%u(bJC5!lIp-Z00O(&ala?J?J)2-CP(#n-`&hR|XWX@|op34Pl$k
z8BI`P4oL!s#p+FUt0y>lRgIHqqZ)LMLklqJnKMZs@vS=NoeA6As@mVcns+AoeERe$
z^xeCRYY)CKa&YAPXZa{xS2TeGfH-s1v#)_1hMq$61&-t}xg#NQ0V?bni}#_=geaiF
zu<BrE_6sOvff4$i{l`z9<c0GB8kzHiI72tL_6{~{Z$Qhf)gx?4+jr<rz6Krom!ayB
z53<~(8Z>+@Zh`)2GgSr@Ds{q{J!s>Wn#v=Dd2zY9z5NE9GW2i|>U6$9di52QFHu6j
z@-^s!(rXCA_g$fhhi>k=<0npB6WJO)G7fz`;?mOor)g=e1J7Si^JnqnxP*k)vy~1S
z22%30IF5|jP(an{7tpVyExn+J;sSc?47LPh%JYz^&gl_2qV_nbJ$25h5{mf^s-Vs%
zOwF*aGW-E_0>6SMq=cp(UXaJ6k(@gd!XnV?&l$ySX88S4Nfz_91ei?pHf2z~1@M7d
zux|?50aN>4&OA}6Gd3#hFLIn!hqH7Vi`yRYW`j;S0If8c?fqr8$=YsG(3-qxj2$1)
zZCx%`m6v}FtsCdgo>kE_K2~HQERKq8(9c2h_~+X!#_RXtOWU9cqJ4H?Fw&5cH-}??
zpgo$^uU<*b7(dX0Uj$l6dg1=M=`Ts3!4pogl7{|zjj$e~5i&UZDl6cBkv`Er>=}C~
z-<7e9kBieYb3B#>7m08M5fsWC6fYIkU(cJMKnn{FcQCbZvd#u`2IqSi2*1s!H`;fK
zPvat{@39^R6%6TD<K2~^!yGyWb<{$sIrAod+W`i;?9t+;7EYr6c_(40U~`>LjmSze
z+Tw%eODPyoFM13Vl#DTRbN65;#JaXuC)Y=xk<7#&?xp8dE(lmhJX7Y2l?NT!ye~&{
zrXvwVMaq=J?fAn^keg@cyDpkRA##+^;{rHvz-wxEvG(^dEfW#?=Fkl?%uX!gO;g8J
z0p}M$<G%wOCQ&*MmaGV!G$8xJ|66-$Fbi6*72ZN;z8Q2_X?-yCK@V|?gjHCfNroP`
z*^b29Gb6RN7SY|)q4e;KW{bns<^x4$6J*q4c@xfzP>>8Qa|QQU^DJ)++B|~^H7@Ko
zD%N5t{v~F|);Ni_2R$PZ$v_VW3+{m?cHJ_Yo0r7{I}Z2S51SsPkubioU2APJFU|r1
zRIA)B6}?jr^py3c%0wu~cf*pGZUh&(Z?CkLG!|Eek6)I`uRW-M(?2qdTf@<V$JCU}
z>zEg>nfDi@q6c@ti6leoj&RgghV$a^K#fNw=yur!?zPTrwYTAsyK6jlbw26@dme0?
z!s#n#4}|7m0_5f8U%t^e*GF8RQDvwk?BYfy?N|V9IG5?^Kfk+S9rwWk!~Wp&i__xJ
zHuW|x&I&prg|<eYeIewi8a1yqs6Td@k+JC=^h$q#GXow#@uSYMG}PIk4U_M+a=(Cq
z7^bAAme+s>U(78X-2^wl-oQHAqBcAp5*1~B=gu7p1>yD350Eu@01dU`VEot2y6CN|
z@oLqF$FExr@?E}k>C@I!a!}wA{F4;=Ui-zJaQ?zLl-X_eX?v5<A>rL42OBq%p`g&W
z*PO?ye1hx&+E3W%x-n-)L@m&hyAQP=kGQRe2Vp?sPzw@>o;~Hya*}m|Uj*&{qz~Id
z4Y-$_MyzF5P?ZYj{R%t*q$X~Nr_09%f}c;83SsyHwrN^#RjOgz`y^SYF&&ygDMUT1
z(7{{=E0&a%<wlRV8V7Y-O`p&Gbu;G_K4_T7>Hj}QM8yf%)amGn8xXGGh_-l-jmT0N
zTyO7NKsP2J`H}!9ikZRrS;Oq9U2s4Gbe1AlQ0P$(=hB&VrAVR2lSypOLQbIRau9m@
z9eOGXq&(K3&@A-f4e<2E=DpHTfDS!m80e9jaGm>q=yBe4-JLImF1E{<{lA*9d(la`
zLQkIoU5&vhu#2<7F441^z~I&)v7-k^3s~(Al-sAH4aLk{T*}~YXNIdQ(W6!%0m1|g
zop1t<)x1OyO)hk=YW&nbc2NxPaV3<moP%@>1cO=h@H#k!BNy$FgZ+aZvb9iq=qc3&
zuAkd!?w(w%fErpN1%3F?9Wd(Z3AIuV2YZkA;r{Ai32+<=yC!S6UGE3G3F*7y;^x~c
z6M2@fqod$3K{)#=F))w_oVYrAaEFGz#}z5`z&qEqsYK`nH-mT!mHj;s03kB;!Z}|&
za9{yo2u%FJ+EvT}8jY$UD#mT~;rzxqo@k3IdXnI*ClqQG+m4HSK#a^o_`s%xSHE80
zfhNx>b7!zEnPBvsD~SCT5Zcl64e2w%$|myA=Hn<~w-SiP7FcKjo2wXtvw`;4^Sye}
z18E@1h4zSdrz?Q86iUW=F9CY~r0jYxN(Bk6ynwUkW(mB}qcgJM<N?esuJ_6)^mD{V
zL`7x6kvA1J5IWrZ|F1^Q_ob;QjN?~D5n2SLu=0h0Bb23?!QNOCmXl`7UnmxA>M~@`
z=8RSvSrZ|%5*8*wh%GhBvD%z5SKD-v&<gQ|SWRbOr7_!@I-8X9SKmka1KPX6?%BQf
zobx>Aoag)f4ARwLBNU^4MUBBJTm-E@CnYKAxJ#Sp27{opNM{FB4Um_a)CTDtp3?IY
z=YbyEB}4f4q6xt`8K?!6!PG<69`^z|l)ElfO!mt>R+SDv=7=DRdq~|xrbmG#GFBX7
zBA2cpDN|(fUl)tT`T*TMAwN`(V2e%tqX%$;jqisv<1l(~MHsF2Z+=PO!i%YcBk7+9
z<KyBw<n`6b_PVdlkh>WW&U}ck1mx?$)8VV_z%5C@QdwE~(W%jlb!C=<y6_2wF$;(*
zTs~aN*x|qSqT}_D?UgF6h+f1($mg#<u9?O}lUfmKh@(Kr8))>>g6r_O`=FW&uX=SS
z1JTa_VWT+DZh@+l^D25`6lP&<o{s+<36B5{?Qr|u-)-6eo&eB=F9SnOkO%h>^o6|K
z$Tj4UEGbW5az|1sn36Qusi&=~`WsKN;86g2V4Uc7`-n0FMH=>iJvz<i8IxoA_VC(5
zrj<AA(z?ml>)c#1g^}t)&>#C%nzc@j9w0v7c<)Vk4*99&!xA!x(1V|!$`Ik$U`V|@
zC!%5MacZ1cqZyH5$}C3oBGQkKS|Bt8P(=b*+SN6`Ks!r;ij73%xRDS%h;ks92sCFn
zg*qjKM>JHcQ7ViNmqo<Zp)72M2{NHQw~-)sg0->H(Ic2LRoOz}UTA^e?#VwYb1c2t
zkpn+JL`I+i<dEMUBbPvj4G@n@wO#yc9yV}6h4#xz3aG?4G?Q0#mR4WLWmo_y*t?E}
z?gqVCTT}AM{%(H|0_c5FF|6dmY3TgqV8FejH6q5+*+$qwK|O?E*T{n-KAnvENq~j5
zwzj6*>KAK&&Nye3S@d#c=F@F>wWae{qxbheV9mBiq%w?d1wnIu?)|+mmS2FDH7VK-
zH!%e}&sA0VkWN0}?@s)QDv;sirY|Oj#eRf|><_vU-Kc_-zohu$Kg-;<?Cig{KxmG3
c56t#XX)7_qTidI664o>Lh=h6BMnOgMUzx0b!vFvP

diff --git a/development/_images/sphx_glr_2_parego_thumb.png b/development/_images/sphx_glr_2_parego_thumb.png
index f25fdd8cf567f2d1094186ab23c3f7778c376510..89af0391284c122420290c854eb3b72728e353df 100644
GIT binary patch
literal 17047
zcmcJ%Wms107QYK9(g;e4q$nK%(%m7AbO}hebfa{ubW12mBi&LWQX(J?($XbeXS{o_
zv)8%K`F}kh*0mJo`_5-R^BMIU_b^;VNd^a#6cY&v2}e#=QVj_S`3?L>f_@8r@>2i3
zClZplp`4`HGmrGG8F!CoW|Q4}J0n$cw=uHgZr<@K`-y*3-&N}a10y3N(Pj}-Qw}R*
z#Or9r2vkj#h=>PLZ*mB%kndR2%gM^hQVXRh2<%Yapiy<9x;5~yUSzDx>|Gq+Di2Mc
zkTTz3t|~#We8EUy5T3ZlLq#)+ypnYSadc{HGzKd8AEOjz7@l~T{9BX<L3lZ8c>(Cu
zK?MZ=|Nd&Ih+H)6`%7Lj0zyJnL&F%Qd>UR}l9HnxUs^Q+RHW#Y{o1ga30wHBafLS0
zW76oGsHg@*e1#7}@y1dK@Ko(S<mEl~IdNPcEeh>7htDRj4d<)Z+Rw;mIrqGK6ciG|
z;j#O>*RL;;MbBfiqB|@)8uh*F#;>OR?@az1{r&^#d@gH0gINt4o}H12>)WY`N>-ay
zXrp6eznE?EB#D;(8hyWey59L7yUES9wY8B?>Y+zlQ#amZWc1fNua@hU#K*_~DAD8j
z`ST~Q%O5;^eEce#v6!5k2Z?M(+txiU8^3V;{r%x1GD=FgC3>|jFPs=zSwF%GnDy&^
zXgpC<S0A!`k}l*;<lx{iS!4Iq#N@%fd-tj=hhE>pA^q*hE32UJ@WF%EG%_)GWMm3c
zHFiDy{mZ><tq&hP>Pi^x?q1bxsS?*GVxY>=<s^*`3Jx}YOk(-tJ+e$Jh1u7rdnYF+
zj=R6bq+`f>ByJ0JepF2JSpSqy^28D^gWt8?q~fvN<dgNWvcXU4`6R+Vyw?}2B7Dv(
z*b@^Iw$pWQf0gJRtmS8YHtE77<+hczwq|r*9eBjbS}K04MDwYf97gDEO6lC8ALYgp
z!snZun#I~;`AQjxZ{OS7^SRjTequKnA4jLW--br{<D=sJud$TMmuH6<SXibzv&~JX
zD``)xeg;)q48HvR1zCaiuH9r696rIg9QuS)nxOS}@7~3`ZA~&L3!mog{|>y(NG{;^
z4E8dAe9NuNmYeB5x2?+A;YL1vM2^qlsFr+@W=Z_dpK4O71j|QL4qAvMeJC$inP~E?
z{Mqd7{-LVsndf{kar|xJ6H!$Hsh;oO)f!yZavsvsGDhUk!#Xu7eE$xKENM4;RsSs3
z;WXPEulPP*VVb~Y^NYT$^{Qci(EmyuKFPq!s_FIjPd5Bs0{)sJ?AyTMwyE7^U&|!q
z^;ZRPV_1aQ(dNW=npnXcSl_hspwRc9AD)&i6wyhdCKRInM8O|T%%MLyJA<DRw|8`S
z!V^?X*hbywiMhD&vE{yRF_`IkY2WC!wY#_1W?t#E(20@AtkZs5<RYNoJXb96R(wK2
zHa(_WBY6NUT`gaUJSQgy>Cev(SXe~N@87=<=!zuHrN<0JyZzO^cDUZzf{0oB_j>ze
zgDaCkqZ=v}AKyJVnp(Xdo+hyt>(%0hcD!nP{$4#_2}x2~`m^(@(ic9l-{QE`f(Zya
z<0HdGK|whgYrR@tU+`Q`&_c(=T(~@*qhnwQuQ2Uy@G~lNzj7V3t_B0$>%6P{*zvb0
zfs|O$XwL9j`P5cvihg!>HUSZlnx<w*Z0v0v9i3za+5pV174e~y%lD_j8>nb#>bkn}
zs;c;}UcGu@VX?Tl7$}`9mOE5uu5WO%6TJFyc&)U(h*okGjz}R(Xor}N&b{U3<x&*2
zGD9KQ>W;~38=XpXocj9u0O!Jz3ENxgs4xEh8EQJ;ZcG<&$4%@13MT8Z5KdR1RYtM#
ztAvJ?HD-IJ@h%}@S7-R$wTVi)gVjNch0gGsw{Go^s4LgMBop*_v%mk6K+1^_KeB5f
z^_L#pYO>0z1FpXZryQ<deJeu&i+s+V=EO@@8U+hN0wb(=xh&t_-u?p5z=Ih~a}pB+
zW4>m}zN5Fd_pq{Yy8)|mq7M#o{d~xM%c&X`q>73PY;yjQL+{&yyGX{y#upa{gC3rq
zL;1>-NMOYhPEPEw;9QL&&8F+C^S%s$Bq8sk$4(29_6=(vMV7*1VphK1cPQSi+$e1<
z6))wP^NBk>Sgo`fW2IF{{<1sYfjC(t?61qqA0wr5*?fINErEn^1j#%O6!&@T<HcO&
zE1nSZq?L(&pm-RB*G{9c{_&B{cS&?=$q%x~_~PiQ3~HhfHJ-_rkV=YxgXoSS&waNj
zERMccYx#s!x7L0ul~;9Uv=HU9?F0wH-KBBcl~34OcjJqXJh&D3YHO<2xtFEZv76kz
zfIMG*q!1-%)cPK$IrfcP*eU`McsWE7QBf{4$Le=S8ra`p@mOO}cUHU2ul!8S`9+9F
z9fYSL@&5@<oo1i;2yinQzF1$|QC&DnQ-4UDtpD3W0GHP(Oh_#Y?w(T28u(*}=9Ie}
zTS@!Y1?Hv%Tg#|Rm85=U3c~Z3kqjVayUcwQ*CMy%p~>E;zVBfxifu=F^Aouu;ZGE&
z#puz{(^iK&qcPM$yGXjxA@_C1mOr|^Wj=Y7qIrno`QDwt%kBeFWyw)qK;4iCcRF>+
zgOUGS%N^RT)u?o!cyTY2VmiI!UT{<M5&d#as<ZR&gg30rJPlI8h2&!B^VFXszn?x|
zbozQ6xsWY9R4kO-bL|`VEr4j=#g?Ght;t3SGwi<6Hos!Z=)icU;z-PcAQc^t0OH86
zt{;rwup#kO6+VsphV%fXNki!)E(4W4Jv~*?F(x%qhP1>YUMr@E4Z%W@8tI`NvXkkv
zBx$X!Y0nQt3Wi?T{HrR@#8L>^nu#0&w+ju_(Wwg~uyYzKwj^=WV$8KpJ-2X!>5?{0
z*Kf-p$@Vgtjf4tl*Iz3n7(GR&F1=;-s;=TvlC{fR;L>E{*_vlHDUSQ0WuNoY+s`Wm
z#{K!T@I+`XO*)GH@{6N8Rm&nfEvB?pXe~F9;^@ykczul>y?8a~KFr7wpuDpsUeL2q
zsILqQNOdu;cVf&BTGZ*%TAuFVd*su=l7d{}>PU}CdFAuDom4;^eZB{_dT+V(nec>H
z;rBrscY1|0+P6rQH?rpDqH9BIP4~+3Pu+~X{#oc+`%6>(9eT2u!mO`F!`2>dj?6gX
zKInhhf8=|T6Gd;xC%YJ9P#0pr&fPpE$vA$kk4jF8s&Ud{$71kC5nWYCjyUmtSt);~
ze<EE0xdb}3U`&<hG|5agK6fa#Ef#g>4(u#VO=;^SKEh}aS5sd4ygTN3`00OF7Z5K6
zPUs383lNEiwLU=Yj5fA=Fd9P@ghwIQP(H0)zk_YGC0yc$4QGrO4joP7xPn!EU;7>L
zu(>#tg|C;*IV1nOT2_|nxr2P>Bs<(~Q5LH+S_9)AL7JV5Em^S}0ek_yn&`C0`q_$>
z9Sbw$ZUeAcs`~aF+4P^4>+!@dVxnHvu{)dIaVX`>`QHr@8?>oqECN<junix;pWk^z
z1L>d>#%N9e8NW-|_2rH~BFkxXcepw%^Uof=`gNWd7uQj&Q~3>Yk?qEvkB}8;xNYgA
z#i-lXaISqN(r{CPZ^J0;A_>c(2geq_x7c0jv1bB~L2LfRd#71OMFp=T^!92$&)h?{
zou9{cB-kNLEpAD)+4{tHbyLQ{;pA#W63IeD*Ec#pJ=Ne{fmBFd-sIwBZ=}p9ODdAc
z>Egr*qBn{t_(r&_-Ilx3^T2$&`FNJ8!EMlzfdU?Z0UjZsl5iigf#D`kX9y6hXZ0QP
zU+imh#{{w>+Ma(gsi=#wsn$igabxfBuxo6LSgQUresu7ZI(_w|XF)8p6{Nz%MMS8b
z_O+beN4CsFSaGz9DCxl+*3~9YNcRp7XoQ3^c6S|LIy*xO6|+&%($a!`kK<+lr^UeY
zTBC_siWWoNs?<VnR(K@!XOZl02$?h=n|{TH0PoOpO54-Z^N^120NnkJ$0nWV=6%U+
zxv|3Xkwh$E;o<d5p2eCQghuBzF*x;=-ixgXMv$!MSP!ABP1Uk7X%@rs-_v7?iHSj)
zx4RUloHJxe!fi{^pT?74P!I;$n^to6p}U<>W?<L$dw*Mxgbc8B>(|z*qL6T4+`eAC
z?*WgaZ*;9ww74_rxlY!#%#FzR_XJ?$3f4Y}_5b&ze$tJ4Rj?-M#@;<Z^v}sAz~gC|
zbWI(sc~tb@qYl=~-s12?%VPtIh!IRUiMt$sN>5fK;3VMWVf9A4k5MjGYlI@aDISH4
zE|vZCWHvH)sKgct*tHYl<Pooxx!r_gEc-Kf`D?mjx2N}(YPBg;A>D6@!tVFCUozB!
ziNQh6gu9nI+{^y=>cSxG#2rO-fe@%{$iP3n&D4^%s#pBqckjL5l%x;BOL}OaZNI75
zW7^%L|L-@a#h8Ja<a<9Wm{bMJ$_0;Q>N7_|@B(2)Cqm#wI&7=e%`5(SQn<PKg+~;_
z9HrWS?}u<R?ExfYKLZ~@SfK(N#}i?D!wwd8asz(17?}0W!}JjU-y1gPNL0vDBA(<G
zd|AWyOG-Gba)_s1oqCtjxEAz33&(NDRSNkLjJI$HHi$jPS)!T-_Cw|!1Q9>}cU`HS
z3jcg7xQe%Z;&*;xAtDg$FZdRZI)|#LSLoE8j}We6*wZX;DY5XsFAMIvVlUhlMH&0g
z>qNZ0Q%aT(Sm5AU#o*;6+u`<UPTYnJz)u;15T!j|kAMj6zgIh{PstX$t#$t6r=%ea
z{dZ}F+^Bhwd@e1$5EmD>94}wke*hU-I=?Gs(WtzoB|RL@vd<eWjaMX(mfdJ)#&f<8
zFa+UoiB&UDwO;Haa@Q|oV@bhS#G1TEh}y$qkOER|v5pX&qN;!@J3PsH#alzLA;*P^
z$p6Wort8>;^OdhV*dc)}D`Sf$<udvG<(0n|ZeW{Z*BCh-v0qm#zIfQ=`$+=4X2V!b
z?=?BoF(ZE=ocr8Mklg!RUmhb;#FNugWEEZA?@%a0S+_Y^9SOyf;gD<VOj69m`tujW
zI*{{HvufI5q6cUeN#zb*%&(I3yS$eO#YKv`#~E^$PU%ODo!*xTeg=B_FSgu}%zE{7
zUng9sF?}Ff`;R{_f~^6&T<ngGOGuECm&c@y3%8r9VR!kXa_7z+baZsc$x{{<OxipA
zH{3W<6r#xZ?jTi8MD?3D=4{LkSITJ!<A61>7xqU7AquSXty)C3JtRZ<HX)&_!gPSE
zFosfO0Q_rrtjN{3rJlG?dbQh+292wA%T5~3l~*eTPN(O-v%+?(R$IOLyEYsu?0fd?
zL?@DH;8QjDV~dmBd9CG!IZ9rMw-eH<wA5P57vQ%HG}2IV62m)mUo+=}5&5gwHI$FM
zQ&o}n@=N*ONsS(?%~#R4UmW$X(S(F<OcK&_^UBi*3+9N3DqR-vi+>Kej_qnzgew_2
zK6;yO;=-m>OL%(nL7~(2f<q4ZG_B8^6BQK|%8y^;57aobGzhKnHgmzqOH-h%gZdCM
zV{4gD_#7M@^eilosNS2ierGhLvTr)-puVcS2!OTJ(L&LYKm3V2_v??1LwfoCt+qGd
zJ9uh7g^q5kfVpzLo3USogcypaq4#1p9?;ORZ8+hE214cVHa)%X%c~nh8;95wf_2|t
zLM{*W6*V<AnUGif4K!T+YCY6KPRJFi97ytDRf6(P_0C*qaY+YTxqa5%*6w(}ea#{h
zh=_<dtbRV+bQ8cKeL_V?7rL719rNZ5-av+c44nU4fyhOp5gqgI>*`3L=D)bOfD-@3
z;rggTmT*Q0&iw^PUXi7VEjNfL1_siGhK8`x`NhS}h?d=IsA=Bk<psTePlbtz2~|~4
zXed;8l)iuQ&CJZAC`B?st+<PiKmR==BO^K~i5M9fnLa`swwNdqHLYJ-R(7kwNZ}9#
zQQSRv@BkeLr)%EPL*HmVhnyi^XG`#hfczG{xJQs@nsPbQDcQmHdQ_}f_ps4+$K2GH
zs;Mc%Ay47crMvKC5Zxq;M%A7@lQcG_zDuhBf#~<*Vh6}0P;7H%`JFNJr*a`eBLv0I
zewSYF;^K6wtqBn(*O$U6cr<RRkoqLNsYwv&;_}jSuZ!68Xu=|e&zbhahYy0+7Y9uT
z0|J6)e{xUG&k^MrycL}W7lzZ*Q%NbQJqUE49p;2Va@jpP`sjVUU2NE#3OC|_unHMQ
z=#0HZdk}`ppC7N%99mLh$OT@mk1!w<kdoS2FD^s3*t|)SZ^5*Gz&=hPdy#$m)b#4&
z)Vk|bU09mD<<{C=qJ`IblVfzPecu-&7d_3_{EqSo9~a&!(x9WI<#_%DX^e5|>gvkp
z@^GxPvvU{B5C7i1p4vITr?Asdyegz{1Viktw4dRZjv^5oD>Xno9dfxgGs3IDL!0-f
zN?l)Fg8m?`N)QnlsY-w<rAp7h&^GU=^6Xh>G|%ie&Ot#5TU%x*<T!bz9dAJKw+I`D
zO~(5MpGJBY)C92U3T<Y{9V+2vt_)=Kp6o52o-D?~4+)5gIsGm?Xq7YjKAZKHdNen$
zD^#PXsj0QUrIAVIb$S2?8<9kT$0{IPRi61(f$Z+)Pz)KNptM3=__2)Z^Yd{1#4WkS
zlBubm6;8W^S=}!<-ezPN%v(U+4%!q-hLTKgB1=zSpCqV1kXc1Z)6CD$LzY;Fi4p)+
zd(r5-loUD0EkLoWvYoh-JM>4l?R+5|IU?ux>Z;87(H63HjqN>f_EemlcN=H6t=se+
z=l484J>dwU85tQtkt+R9eP59VRV#tir;$|e(FAMMPRl1CDe%5rLMMt0rt~{$qshm$
z=k-aXyu*PAeckjNQ_0P1H(hTuTd9k@;Y(9~WAMzcYqfr>X6oc@qimwii6&n;%Y6BJ
zf~2Hmx!0jJE~RiE$cJk`vTwLGX6(OQJ!K)n0#!vy72X(9=_06h=Ac%AO0*B@>ho&d
zz2oC<^U4a}b2rUWeK|KbZqn$lt`v@}Ba<z@-d;zWa$pnOX*lo{pziey4tCqus%vUW
zFMf?iNNXVIm~=%DKCvCgV`F0jkB1w212*9MGra;$(Wa)Rx}BEu@p@-Ey;^%S*e8Uo
zAdY4zXQZqw8^VK8m|i8u*$TYvm}bv7@vtT4*zZ@+b6$!V94^vgGxS<}<aaWUHtTzA
z@VT<G9s--ySSk5V>$NZ_Q_mqVBHlc=-6Rs;-Mfer27dYP=EU6qgy$e8mN{7IuLlj`
z1QJq^48Z(yhu0923F2+RerHRBnmi_{+iuv{Jv>Bx4%s-FfLj#E5>6W>wRcEJzWr_s
z1pnEW$`#q*y74nx0u7P?4-f)R;S1roEPcw)Y=8dv2k06u{N%#I!hb=4(Nqll_3UNL
z%LGN+fp6b_Z%$N#0JE^Vs%6X;TgdIaqL7oDdyn7ck49q%-sl8qI6o|(+(f(fOd1K_
zG}*)rUctXY%FAT>P&X~zE9*-4MY}}P@9NazdvC8!g$XL?jf(>UJI}b(;Y~^BzWwq=
z6p4scKg_Vq0>q)hm4+aB7J>JZ%*;}%9*_!5wD=0p#$i-WD8P$4Ic~i!(ad`)&#xCW
znq6=eD}k<zZ_xd0{#=^6h4IlR*|IU%A6}=0n-Dz9ex8eWe)yy*Dlab|78`4^JzY=1
z<9clJ^f*t|wr20F#12uvpJ0(jhqU;f|EzT|s?HrDEhNN)gHqbK&97Nzs5tyl5hVKG
zzn?EGER00B$i*JUiv3a}5DybkJCttE%X^4R&M)cW@<g*JL9;~HQy+QAitF?9WIS>G
z*Vd?cRaFT2v*mnSAl8ukY|B-Kfn&<U+e4r_7s@GKGTbr6Agzw?2~2C?or29|S(7^E
zMRSKd{(8sJscdyrgDeNHSj*5e7$m{{<s>8U9z@j(7oXT??jJm-)cGnIRv4d^H8`v+
zav7R-RQMB=OYmWZBc>u}e`rAPHtY(wrWn<wf+qy8`z|9xQBCcRTjNYMRVrOLCTIQi
zBWmlo6wdh(hGcFW7k-aR*T-q|t=G+)>ae)|{r&N38)Cg0TaeRKw6(usu{DX#G`Q+~
zet`i(FBJ#JJE$TLx`>S)zg&_9gY5=a;kooy<^<ux<>aV2Ipe_l-z6i1(`Qo$=8h<Z
z;DxiboV-p?C-XYq?w@g=Qv@B}d8H3=wf#&3yLlf8BBVh^@vW~f&#X6b+W-2J*{FpK
z1iJ9MbRJiyt7Qw3I?bQdL=o}(`Ex4p^WMR(reLWfVFyW&MJs*kYU2z{D<YRdAH*X>
zy*~DTKPv9Q+jPd*m+IP;&rX89w6d}flKpNET~_&vo;#3XN*`~}=zvKfN<c^mz!5+K
zc+xF$^(u${;lqdEWWr-(yQiko5V-?*Z4Tr1o0%R97#|f<#36F9r}cwr9(=iRdpGO)
zA{173fN)J5DI`4hWMwU9j4XOJ52>k<bBDei42ld^4hr{z;zz>kNCg=uxP%?XrU0%`
zM${Lhg&NZyi_r?1f+_9o;!j9%AQP&q<2Cfzlj3@C`N@3#Dt=0^%<N&1bqG%2a_{^~
zS_Vt(pl~3&DWh)#?B7t8l{$1SdS{!x`5b>EHG3UC;O8fGWYqu{4f&U4wJt;k@cBDC
z%CQtemOt|_Am4SpWG9V=j?Vn*YWI(9iSUSs9Qf(xRBi0#`LQWSimb9SbP@PTuy2id
zBH9j+`a_xQ#BzUUYs)~ROgB1D9=RS81aMH003piqFP=u<?mIMPOQ*NG`1UeU2Hee&
zRws~^MPg%H%?i3%uG{8lcK%BLPfbfXX~>K{c<&*Q_Yp51@~9uy)o`o7UP4w@R`3UC
zI_L-P5H~avN<ln+UOAy}qn{8TUk+gw{E!@I5I^3FjTC9cW(s+~oU*Hh)LTkhn<SE$
zt+YG~<c`wi<t`)j4*?JiAH&jq73)aAufZhx`V_u@|Bg5`5L$ElOjb)NK0heK3#e>d
z4<>%zhEkx8X5ZL9k-_D<Zk8nu*%c`I3bb)HcWJ>vfcE|e1Zn}d&F7HYAbfa!mR~9;
z$&nM47Q+RqG^9NCQU7V4jaO%CzzwBy@dH4Y055yEF}4bBSt0rHD|ofwmZd#Bc%fpl
zfPF>i25>a*5)rNNE6d8F>y{+?U7qbhoK#m+dtgfCFP2bU9uX0tUFS#*_kOROB}^aj
zy0(@Fx(cNu@r}J2Db?jKBp6iF^apgcFLrMb5VaSm4(yB-ziJY!Yd_3jRY+*w4Zm)`
zvqh{+49Ojw2rV8p$de#ujs}0AkFY7+>Ke9ZQ@Gu-D_~wZp+Uu}Ut3j0kUJDMWO>nH
z%I0HNp$+vIRA&YgkskOuSR0JH$HxfOef||1#TUom{#hHls7=%dl2RQZ8W(=w-pFUH
zh-cS1mUZpyG}fIcQZg!iKE2#A^bzUlS{=1~;?EnaSp@aQ<+3TV)+>B}rO~uvp=J-H
zO+}&ZGCJpf<cUL}A)%Qw2_1rjsXs)7g`lpLhReIzL_Xc^^qwkw2laDiGqvUxy0|_k
zL^0^!)o5;Q_&y@TjMuTf>2d#urC4A{I|tLPW}-k%bz{eqcHCfpzRYL+2)(fKOO%AF
zCEn&eZwhoLuG5nf73f#$)^cqu|FGs-O3?Q3mbim7IQt`AYD%3qUiDifPj#ML7+X!G
zE*UW`(!W*I=jR&?5&hh=btNUBTh!4uH8(HcY7jBzXp57WVmEdYG!=f@`Klcf_n)6t
zlP8CsQG+sp<|SjCgd-M&x5^dyc&J8<%9%Ukxn){|i@m;cW5M*>64q(-Bd$B<`%PR8
zL3m?^pSr$A&OO{8e#<P})OdGQo>{QT@^*dKGU({RunV(OZ#p+b$TT4@X}=M#y_x=v
z!TfBuCTe>!Y{K2G)3!QJ)lyR+l@TETy>gn@-s19R%*0#RA7S_0JM}df%4(f2_Y4xb
zzCT8uQR8MW_z0F5Q(fn;j=m>zHn)|dtrv+VOPr{ORg-D5qTK!8x063f@CE`M6cs)F
z&3`{XfNo_vuTy(<ytBq9)BOhzME`GrfcO`Ls?H|Qg97z@Tu3$x9Bskz_9e65proWs
zePY!PF-FCVXJ>k()G#4k2DGtM>tU38;3vzVLHuZJ?R2wpunv4MqE7<7&XwKyh{}(w
zvo0(0c7my0lbwCvgF)6MEe2@;zR}0W=W5p(I#Ygr!tCtqe-6DMOvy+~hirJ*+p|J8
zya2U=8MLLfngpH2b&<W*53cQfprUswR3!d|O1y*YIPYDexj}jktrNn;@Y~Qe`jBJ@
zzJLQl7L(!P>fWpVD?dy4#4AugAPT%NH-DFvr3^6*dMv)@M?;WRfR{qF!6I@T&;DA$
zUkqZ0EuWOS`Z8AX_030#+qwmF<De96)<bVc5mCw4ILr-nQ~F1ZS}#L^v;eAr?QGLM
z=$0XbNNMR?4$X%|$8-K7AgmOA-teov#(sL7Ui$d}13s^6r%MG+JKz8MiqP*@gR2da
zxP(Lszw5e2{kDW}?%PY(AiRZGSgUHJQqh07f~5b52m42pxlK*`@BdW~DumL$`Ta+B
z2IbK5&Px8j+Fl>XXU_jm`3zb##uYt?tM|O&>OWIWG5-qiy~lYKmNF6le)EIM1hq(n
z&i@~^-gMJd@n89U-0wjWOZVr0j2?6@0p;a=XSJArJ`H;Q?c+$XZ3$w?z}|t5aB4=h
zFJESRm+?QMCMa@?-KGks+i(88o(<cMy0;!$0|?O#Cs!#_b!R%%cjfD1-^m_566RyO
ze*6_XzHAeI>L8U^XeL0d!V9XaVZ$fFXmKA;zX{~Ox-6QFfy%XyIDI9(t7$N)gBU^k
z8xmn9OPiSpb#-p^BB>^&xH4hmj}Gy4cQ<*iAM_m~7*CuW^h4=x={6TTQj`Ef-gKRy
zo`UY~f<;SdeB66f(1%m|iE_&M;e#V<=xudE`F_pJ&AFhir+)K`9p<yGxioN7y2Q@h
zQEQSp9^I`fP$c{1u$BgGXR({TRNar=NJG!sBH4Z(&)t5!x<YcRGuT<8sG&*Vvyh@$
zw>Y&V%OjRIBEz+8(<is>{f<#%%x9H{+8;f+dVVWf;QH4j$xnW@t^n~cn@22V@o^K6
z{_?eo{Fo5u4CTOFn`*+<jh0?^S$|9PEo<*Ec#V@jykIcbyO&q^6bD+)0h8xRQel(p
zD$>-8#9PJ_nZxN!6}#iadwmlwC`HX~4u@2zOM}`ayJs67W_btZ@fpcHhCzyHBTA2g
zRN8(gx_a8nl9iS4x9`?Zm5-A*apnjadS!q^d;}l6_<L6&<@MG4o=Ykp>a{=itG6^C
z!q8Qp&irhlK%VvT6LO8YKP9OqGA^?vTNsD3Z{hVfKwu~D&#)ABN_FH7)vbAbTr#0T
zHxBAfu0$QnmF!?|^nK3VNfEt+Hsx-e3mZl^nXSyPY=M9LX{nHCTf?-H>;+G@E1w7^
z-E^NtZFKKYybka>995zZs*^tYuwq)t)K_15_wcpPF8jKUGkx3?|ENrUN%M@hn&_3h
zCCS$U+P_n+p-XNv=(DxA^&HW0qj70|JJM@!;YN9}SU!o@+afvCts=!CO1n{_8E9DK
zgj03TMRyYyHBF-JX<1h`y|!J1O$kepLEHObwMaTwbSEihZZy*9gE^vr{_QWN0ZA>^
z0$R7Kquv|Yk~iTDnCyvW(QmI0k>p0b3KOaJ6H1q}nCU;}Xf}4>bxT%0i(0vg)<Lor
z@r;>wu8mXIR}xDJ7UQgWldKsqlfC<+U5I%)6Z;F(9J$GUZ8%c#w10@e>du#W72Z^x
z&S=UD1+UB$@yh78l=c=gZ3@+yC3vF)=l9=vn8*p57m=qK%%3h}G*z6*CK$=&kJd$?
z@vfSjkyyL$Az8h;s5bHsz8~V)5#I4vwl|0aE3j|Pg^c8esD7TvT?bpSfLP=b>5h%s
znvZhHl)BL&7&lDO4-Zg&57<Ym4D8s9H(Q|}2KqoX`2_uFJ|RsH-<l(5%sQF3ICwgl
zzLSvT$Aff2qr8KQ{hLiVx-}2Y4z3Dtt-A}kp2#o%dRdrABLgznLw^2LsEQ3|Z>Xso
zk4NLFqRpn>8WcuDJuSB;94R?VLnrJyZMOzt-6O0?4U0CHqT`e``!xrXbn~xVVc#8*
zjKNlOhYoA^-BAglKltQ@Zh0crj`QM>kLJq6Y6^Vc(O5SCHUBC?39TcfJ?C1idtmo;
z_3?8mtqt>bG~#XZo`I2~m-f`9@e-;YXT82nXC1~!KM#8AOs{ZT!j-l7CLF#qyR}Ta
zrtTuKk%pY?FK-V+&k*q(c~~1|BW1UTKVBaB2Hx8JrKh#^GPjXCPpo`LL!cE;OFVbT
zQ7iVVVB=pT?#95*zv3v(IM`uWS^}xP#nIh58Oc4bD-3pj+SDHpXEZf$)3eP@%Wqj$
zzb3%D%^`Y3gs)|J^l|a#Iq5xUm?G_zh)7@J8QJfQ|8~gI3q06a$}?uE+Zmqe{KZwV
zzBfCvcYHRrTFMxxE9L0hi$2MNjq*FL!hpW=*Y>hh>7%vweJY1yVdl#6PC|CeY6u=w
zP+0F>g*=23EZm4NMj5&ryFE4Pf1`0Ea));36XUc6Eid!ka9-<o-FR=-EXvP?tI4Lq
zLc@Z0d%<QzV21&JfkWsA9cHsqhjTCPZ_^+9ZRF&2EmEUZFSa7uA?aB#9pSt#ReG4o
zurzeN^@w&l_N@V_Mh}<dAuVcWprCMh$|Sxd7YMMy=1jLTZbjdUD0D>9$sgMN`&)Y*
z?G$gxCQnO&1gqPXW@J#?Yz%Ky4|*J{0~rXl5m6lgF$Bbpem6p|`Bi2V3-pa?cMORB
zYF&8=wJ$6f+2?8bc`#H3A_{0{4YE2z^^`acVq#t_CGB18-{2*~taUv*H>DB{-lh(y
zIlNJ{)Rbdhz>T`JRXg_)>L-LY`JJikvBdzHk8cKNB8Wbcxzf>fKwV*=qpR>)EpG{A
z#MX+*tkPQ3;g3oc^n9D@m}0N{P&p-!?9(K;N`a$VsS$}{!kq?H&q9htCiRmi@d->?
z@6yv1K>b4wi;8*yKpK!}>|TE@y$;u1dk!qCGlg0nAO5PbmcbkCn-NNVcH(C{NSkya
zL|qzUtu6{BrlH}$S|B9N$^GVIdw>oh$SEkgpbX^+i;SdUX2y1O^X*S&4}^+zVR6y(
zbUA6%12gH-o`P_;pWz7BJKtMDc$sCo1bBci!T0g;@c~K%@&P(7uCyuv{G_dIz{(r=
zHbfDnqVk)O3Pf4KgFa3mRX{0?9JSUs_;m5%lL(oyV=www!?9<edZW*4R?}1QXT(rT
zgzQe*l+8oQ3J(Wr46&idD=j161XL^{6*V<+Xxjj-^Td9-uHBT4fCSdSSbsFe#qO>^
zmjYNx0e7JkGO`5^XksPwOia1Z+yFfa7@k1GvV4cR7HEV;PzZVb03Pe_*;5e~WmXC#
z&Cu7SiJOj^FKXUq8p-P$tmcJs6lE+;-!Y-N82TPUFa8W`^kV?5zQJv4{cINWGeo9k
zVrm*59j(Enn{ayk(--X0LgAR!TBd&e=ws&MUe~$D#!-#_9LH;|R*}AeCH+K^={O{Z
zz{x%6f@VVkJ^8#nz&t2L&>|zd=#zyD34-9rbGUPAeQb4S7%PQ6hy2P=O)#i{HLqhP
z(8ZEKq2tYD1!<XB{_-Ajf5H7f{q0)}(-Y13LZ<C61dON)@foNnmL@)&>s0VS+jUG5
zkd=6i&~FTkh@|zz#fHP?4yTjH32#Ed%)UH}VCw}^=l}uI8;xfJ&b_xC1&g$oU#!1D
zSrBV@g7HzV;GD&dJVN}_hlNy`4@Bpq5w02+UK~l)Xq=uFlHRkVvoZJvq<aHrrUXg7
z=A!M+R$Qb5M5&%jksdW!eaqpG_BNmPclW9Y%*orVRvxL)G(O2$G-H-(rh60%LCTpo
z7cYR&dzj>44|iXlSxdkqVU39Jdqk-B&&!LWT;<!=UuBM664~+QhfsX6`x=Wl``Z<#
zg)Qy}n`siw&LxCYyU_5$<Gz53WWtAeYHOz}C=Cj_-rVb{-c9IRFE>hHhedxGEIR88
z-(~;9xY=U)1H^?*CQ~YLjSrfQ8-e!%`m-G$=OS&Kt{u9CwnOU{ob*N0-*GZb=&`HX
zAEXPZl|F)d<aL_lPOr2uF^-RYJI@sWr}BG^?U=L4`3A*(JQ^Nq%sn3RL1vS`0O)*X
zA_NW7;gbEUZ$sLq`07u&p87}A{5JRD8!P^1Q=E_<PIEXj2`H@;rt6cBuF}}B>|VU7
z>%E$ReU<BB`QU!=n46;C+#~;i$;O#cmy7s_56cGH{>c|}5SZhmWj>E*yc>+y(^cj9
zaX;X39I>g_6O);?N}rPhIoSRBTs@l9kb26-;_xM!A~e{Tw7kk~3+GL_p2c87jHnIr
zuKhhBD<b=aA-1EJrKHiX(C5Sd>f#(9TFW<vh%t|+_C?#Ra}+D)*|-LYQr;+=o=&AM
zS>Fdw-Wim3^4tZDboAZYaVs4-U!Tv11n?Ynm(5?ZTbg(Zg&<9*{n8Chs>%I}H@ph7
zKi?B9?9kWpCGRb=-}#B@VXorbGL_Z#F5}bqK<q2n<)`jhD^tD}9$qTWxE2H)m))k-
zZrGBuPJ-X^kKJ6apYo;+5$|}D|2BQD(pxxzrWZE3DJxAK>HcwlPEVJ;Sn(nIJY7ot
z9<OieShnGt+k9QieN!*rg`UeCi0;t;qUc*{ougbhBf|F|Z?51*oa-11!n=P=-^ciG
zX%9%EE8iu)_hmoSyP+X(dt)@dt>i%%x?{|%n;skYMysi5_<3&r4$*X#8)VDfK3%Mi
zb}{yR!}E*GcqSXs?^m_)T&pJh$_YtcwD`pjs|-^rsb%h~TAGBOIf}d=w#ylZ-6zjG
zoL)xsjz$zSTD|gkz0(?+XR6TPEr?9(aB?NU>xYu*qqg-zJS<Z3#QUJF09UYvH*?;(
z#<_H){eEqAw(F&6b?zr|U8>A4wjtNvZ>6*PsQ=`<I<At)Dwi$w2wJgxDoXCM4N(>e
zt~#&@Wx({g;>-JJ*ldG|TxE|ZTbBHoo3i(#PF?sbr)u{LRm?EDx=T0hUG`Xt^4+eb
ziN}6q4%kgu3`Mv%%GbZ#3mKfk6&3eF&J~^(dufjmk@I--lEqeJzA1bSJW5LC+C!vD
z9tw;01rH={ik^j-(^fTYbDGAwbTLkD=Ld~JFViy6gr~ap53qQZ&iG$h*~B32j+PEb
zo!b&4q5a%HT`e~H#=^R)A0DiF;8wnM!9}TC7b+$24mtT${m!*v17*M{M#^;MbGi>i
ztJ11GzPng}pJ{L6ZYN(eZQ$}ZuG9Kue9^OsMcLhB%lGh+6T~d%c@%5B<B&aKLYMnK
z>g_>ICEcUj0p2209q)|Z{qC4(I_*0b+}pxW{)-}bK#<Po?0Q9s@ya>zSK~%p`bJ%}
z^<c_tj!ZqjfCrVU_6fdRa>#oGZEaCgmG3A%p;0{!+L-#a8gjr{q&teW)UuI^q{8+i
z6iQ^g1q<l7?K;j`riSpH+g?w!2sfwljU}$nG~w2|TO)~9qWf>JO^`U`62&ED%A9xO
znIlr#dov~YTckIUcVpcSNyZ<L1>i=%t^;#j<qGuic<=ti&(O;!nja!zr|aTK0V~eh
z&xbbyg!?yk2XPOPEp^xepaWn!Vui8Cxv!E%FMbjAr<xRQGhTgnUeV6K(fs(23gmT2
zI6tU5llFXb+1IOYo{-cXH_(=T*xuQk42U5&dETQ|%46ZU<G*b_A7SKq865lG+uct%
zv)^Bn?0wa=w2~8_JKMONdG@`^(SgpgyW<{DumY@XV)uJ~sYB6_G!VaY8`<$;Wf-Kq
zA4g1R@(a=}61QonXX?+^{WTw!(+=re2+z1h9CJTJF5i>o9%K`N^1~5$!fxX3xJ;vv
z{?gsf1rN7JSvQ`aHRM7~g7O8tK~u%oQ)+5qt}KkmMTU1>4~2BS{O&=j`nBUS$Ft7i
z3Bn1Lxn;Qd)_t;jf!%qx*bpaIdgwG8E!)?d<d`Z0nN|tqJyaKp1FgoPsZrQg24jam
z(k4gUeP@bvk~cQEi4S|Y(T}pl%3}}ilb7;%1|So2wR%eiH?-Ij%_~=;uV!o+)3Vvy
z-e2Q)+dDk(4sL9*_in*^bzqqAHG6>P0x9E_e^t>cznetS9K{^XS*=Y?1a`nd62|fI
z!pgy*qQeMh-l4;oyP`3!okG4ea`{VQ9aV!LE-$xL?)|oVZv}-<$*n-8r?v+EQT!}W
z1kq;u-8|zZwzVbMTs-3+Sz0C)JmmUgNn|fx<RmQ2*cX(giY7YzSmd>DMr=6x?$^QI
z`o9Wq$_`RVzf8S<#6KOBWEd%ZV`!ds?7>@{*S;A1*C+f}v*UwoMh^SG?rM!uIyB?X
z*Nb09VO!s8`z&NtRY3ejMkFiGw}Z;0T@fK0etdTx<gF%iZk7fO|DmBF00bceBlJBa
zB;!T8zGSnkE_b9(7sOy|&U51!G~*U9%8C_!{Yibk!xN9-CKj>Si@d2&?;K84^N8=v
zotX|97=zE9>23K_rShfQZl2#`s2;EPTwx>YVa_oK6cujB$9nrJi6`29zC9QuIq6sm
z-vo7|3V9Y&MixBf$0k7sgQ)H^9}E-M+il&5W=;?0f9cJiZOpf!&5wLq*Am6VqTYHE
z$=URcnR&J3zUl98s+OaeE<Ycr>ZNpj6%e7InVw5?m#MZ`ZsE*ZivMjfqH6DaVeF7O
zDfv}Y@{oYw=A7>;GX;{WYPlQB-_1|f#qtx?SZ7DeS5+AoM%T2veVhZg2_8vV)7=ed
zt$n5A?((qmM;|B^o>t3Z{M@)JQ!-^V!1Ww6kN5PDO}teJTbH_SyyfD0Sv8w~TaX+1
za;eAG(-e2YhG!m<=CXGYyy<JxX(pHR3fvS<xL4izD|=flE(E9?SbaWChXl*qXpfe;
ziFOp0|JJJ^0W@doQ0VM<oRnwlCn$2T1t2t5E!_=hnhz`(sT=UL`?d&89Gcg0v&WTm
zXV_G3DG7Iv?G1cdhTMXAHbwqZSImU<>Y|a-Ta6cAv*~^AW(~9qpCZ{pM;=FJ0L5`v
z0U7GFjMk4SgSC&;U(^`aOzM1QN{E{nuqmB(51Cn|Bij^A=siBqs9aZiL3{vg?{_;l
z%<siMEkY^j3oi*!TPA%|X;zPS#~n|YMd}Unea1FiYQFTnF3Ep9wK*`hHb$T}*s8>I
z^s)X{o4?$5w|+dqw;Fw`s}>}`_KtI0n~^}m!HvG9D|rjgdVgVSYRbuUYK};+*bWAq
zvbh71uMPzFgwXa{OY-TxHs#`tJH}lehK}g3rcH0h3oZ<{veTInRvvn=f}je)aXkpT
z*bU9RC<7<7@*ATIQ6LL($+izwbHL2%+{57mz%bq%L<_Z!d=H_~AxPwFH2y^)_*A;Z
zc_-4KXH{0gy@j1pNUxJkZouSa&5u51na}jKlMJ<dC)Ct|K#Ji?&95%<rGIm)Nk7V4
z!OvRgOMj>LeI-{1Fdn~83DszWYUUND6#^$~vNap2da<jHe~S<HWH=(n-Ta(}{`zo=
zkoSDG)}pT-*YVzEKK-CcAZ0xK)>dtRI8f-5XJ<ZtnWtb;n9(~{zYLCwak6APH*T`i
zE!Q(XhEP*N!+ht~W+k*ilWKwF+S7+d+rs_v{xvyfFOVEcgyb*Q1W|mjn;utnnb}Dh
z-0h)iz_Vsz3Jkw%yr%Wo1J9=x)4cyRel1Pb-iX$Vn!PWpjddS<eWl&)I-yISspl48
zaf>J4!X^3quD&EfpVzS2&|Fn$8WeU`x|J+=&(QDQE!?0VDz&$XwUSzEGf_<&7rgx#
z-CfA<0`1=M)D0;C#?sckj$DY|(kiCUwVphf_GY_@Rz&*rVnuwf?n}3dV)s;GGSL4c
zD;wu}dq}Ivvcn$>yYLrY%H3D^KMXQ3QKjm7b;RO{`*Lkv=4;~QOxbcHdc1~)6o6y|
zwgq&Vs0#ezf(Ab*MB}#A7F!h1l^R`dnlI*tp5Y%C{^DPg6(YfayOfP-MXnZ&ZS?f^
z($wARFD=qQMd(7yy-AgJQ``U|@WE`@)?~Fhd|x&I1HNZZxYMG6FEpv08jW!owR%E&
zv@@p+I0o=u*4_2%P{alY2d4}Brb4TJ(UEr~#zg}z0#-;)NeMp3O>ynRMT#ROB?a?B
zN?Y_AA2nyf{VISR%=A066291#sLs{rguxydj|+ktyO4Z2)$?RNG=;+q)7V(ct=rMn
z_3t0mmBFmRDTme)w|JWc=%zOv&w3+JNMP)?8Aoe1H@=FpI`WeJ@oyzD!pR@9wAQCA
z7U0h){pDf=T-oc=23AHLjOwjZuT<SBlnUJv=v@D(FqJ{v8hWWPqy<gMV)$-aVc|?@
zdjE=GWe$MRIISclI~9HXzMeQbtEn33T@^OU`+hF2Mg`b3=s!w*P@S7~Kh+mty0iiN
z0<vh@shb>z@y06t{&j&NC~;9yB==cQI)GOgX-oKR#!AhAvO>^NP+HgdWu~TnFVrZa
zr>B4ZB>>rFYf_^tUL(J}{0(5^Fl0E8%x($|A*J9&=ypScD1Llg8v$S>sA*=v4qgHD
zp$f1Rx%;#j@CQs}*MOmp*Vx?$a&`5Wo<j+~sUI3H+3&`k78-8u#3}p6lJ?};tIKml
z*9C|>5OCfB?nfB+3%5E46&ShBr)<rVfT8et{iTOKjuSa&T7T2Ue(y~*w7ASnU{jjZ
zX>J+t*iClkNJUx>f5hQ5@B0mn@lsQmIE0Ia0V{%c{&l`1R6{}675*p<gb^qxh%fQ4
z>$ZR{KEPq283OKw@#WTvz!7e4+Cs<JW9>r{JsX=lIilqcZ=doHVB@N)suUt!hcEN;
z^AAAh7|M~t^1IlRNn|xx=TCh5wymhFMIJ;d1{RiO0MS&~t+rH|FuwtMF=Smm?YWvE
zc=9_CIJVxy6%cL2fzdjiai;{Nl@54=%8BBa3#|^&Se|wnR-As>%cAc-;|i06L$1Xz
zkQhbE6#?=J9sz-*y?tqfT#+=45X!`m&BM~nfhAg6UVfXHxWe!E=La>|!yvHydNjh}
zNl8g@Z{B?AxGmCG=d=i%95o-`gzLpdS?kB*;wXpK%fzaxD$>1lm>9DH!T=yYrsHYn
z+c1Ijl6-j01$Gc@cz1vQOu|M%pS(IJ0Kp#Y?A-pn-q7I41Jk8$mwf=0(aT5IsW;~3
zb&dwz#>M?uS9fx|wGxzAAQWvRi8ZaPK5g`O%sT?-D1rF%I0CZ;FcByOShvPWl_7aT
zVj@g6?HwK6`Z72;c<9rn^VrnHgha$o5P1H=A1EcIm{?dCn3yQ(gU1U*A6r{RU?z^)
zpdlU*Ge8=ot)-ALFfgdu2J0zZoSdA3{XGEJ`26`ZW;ZJZ<)_luuU`WiftKEXK6i}9
zX4H~?a^f)yvKi@~&*kN1#ncu7A>Z*ZD=RDQ<HvYNkzKDfi_GBl0?m>>TBH@1np$W+
z-P-?x1EAL6-~pjtEKE%OLE`sT!yjFCW;2qLNdSfg&_b2TIsqm$7dLfQ4YvW^Cj82H
z49*EUn3d-JCNTZRtXHE@l3XoclKj<%JM9$AMG?RcStX?v;0EX(J`9SFC)jQ|w>R{d
zM+ImX^tmegnbc4UFWIec{(3$>f{2bHj3Ao95LwgVFFlxqeWRKyjTq=aFfK5$CJKZC
z;A-!IMX;8+nws@oB?puarY$<2KSqp@?E;*{0n=|)x~mo+0Du5kp}qC`(jj5^$`_%@
z!%QMzUSzmvh_eZMzW~(G5;!_Dp#EIeN5T=qbFS;pfPo!}xu`|pIenai2zndz#(RL!
zSPZ1Mz2F!EjV{w`odHHnWkB`wYR+U(|5!j?&;RxuIx*1WMPNxFiNY!Y9aezJMVMdB
zuB%H1;sP)hlE=>jHu^s{JcS8fYU)=2x(x#@<9B(e1#lP8MlS&50Ut>ql?_zI6U!f>
zTXp_v{pP0NDYTi1?Ca)l0UQWT=Z`=FmQL`)n;Ey|HZd`IrgVM`d@#4|xTuvCgG2~+
zn|1ZO<YZasY{MwA?Nm*4Rn-%qofKcZ$eVO30-E|3Kvmg@*Ss~E0JysG6VmYTaB42D
z1em8qpgFJ*gJ$f7&;LyNy`;&8F>o81|JT4>7-@$|ML9sNi0}fy)JP1CWVF_$gEHYl
z)923|FiG7(Y~&*bm?N9_iYm-8gZBbl7eU$ppVI};zqh}i1EWG7-rkk|*M1zFoK~ZS
zgnoX0U_bbTgi^rg0mckSPaHTF*v;A5Sp=d9mjWaWbFGmZ_Pg-r-lU~%q#|qA+8cmn
z8ceas$jBH~kI9A=K17uqApxm3id-NO9@F5+%N(LCphd_7<oD^|Q~_OwAaTQ^qB`g1
zvVg*^fMG?1^BZfq3q)P?eI5?qGZ)y{FMwRtK`^{0<n;uB;KD1R5fDg&G255>OL8!h
z+!cgzH(AJ=8vsp+0Ym`kxNT2|_q<quL1)C^IE;YGA>)sRz~t=W#f0BZmhaI$piWm{
z5Q&bJ6&I=5P#H)|1TqEIVLS0TczRkN=z)_R|7$GX9qVf_ByhFvmLmoDNOS(zLbn3j
zTw$Ie0I+f6j*yGF>q|;Fju6A%#>WRq=NdztLO53dufu^c#iO9W6$O*@07AL`@@NW?
zeZaFfPO`<~X-Gp=5)BSf-(j2BX0AmDsDYAlkuyN&QUG#*6Ore6umbIg_w?T>6aT_M
zFQFey-s;<YOh`zmxBng$7ABfM48!;yKy5=G;XUxzkP68^eF{()p}k`y{F4OC%uy+v
z7KW;|X?U5Um|+F%Fzf{0_yME=F!=s9Iazz&1L(>>GmY-SC^?7`<_s8l1`byN4m7Ob
zAskH@U`S?by|@$EB@XZ{B5yJBzvKc_fbsJfAeRv?05O*iHWHEZOuJ{oyb=-GAx8EL
z4A25B2z=xo#J38c)0bnP_kmYhS&S7iA1^l^TM53C6Y(wMPtI2Wi@=#h!I=b~2qUWb
zT4jdzltAO~D`g2Q0%r-MRaFjinJ~=qtJEMeD~qyr`Xv@PWkeSwF;TkAu-Ovm+SaQx
zCUD%)a6yE&XU_;=I0G;Wv}kDw03b!KPH3QG02w^k8F=Yp{rY#s#mu*`NksMa$-oDi
z{>+o}f!$29<->5o`KCrI{)|UXPOj<dYy+G0NtnQPox~Pz&e1!R2a>LFX=zWry!cCW
ztHlvh4l*N#|DDT?VEzb`84HvDr+>R)`5HOuhfkB)a3ll#gA+({Qc9Ag;?H0IU%0%X
AS^xk5

literal 16970
zcmcJ1Wmr~g*DazVB_SyiA}x({OQWPpmvnc7fJjP*5>nD4-3?MAE!`ju(jr}FKJVVw
z_g?4v&foK6Ut8c|t$W>T-gAyQ<`}$JQjorjPJ)hvgmhO{M&bn$(v2wij~EpNzT=?%
z*&PW<3|Cg-=_|M7?OAv2SBGcc_6L}@&T|&;p|cRb%gKl{w#e7uc~U4>Z$7<U<yl#$
zp)q&FG|j}-({05r|GekL@C=ud@>5A1BWY35D*dB_^P4Fghdd$ciN0%>9;c6ad-(=P
zR|F4cQ;VgP@k!E^S?`IVF2rz#yGK{$W#WjT4sysK<HG;wV?_ON#5hB!aVY(9!XKeY
zpi)X?{(t_F?lzLY8B_hNg1r1)+E}y{1!)->RL$*LFWMLQw~@kEd#i)1Gz&*YMqYC#
z-Prs4mztONq@aHg-yYRIT^1SFhLMLSelSydxXN0qK$Ve_lCt6QXu86DIA?I};%M3y
z4Fh9o%CcB!Y20d}#8;Z!-QQ-m?#9ndY3v;NBo_tjYmIV~=!66r0|SH10m}AMS~Q6o
z=JH87B_$lk)!vrj;n?$?`pC(0Q^#rRYGrkG83~D7jUI={p9>1YLPF4)2r-<Uo&WC6
zr@ecJe6&3+y*XC6F<DN>#l`jJ`tmp;PVV~Z5)Bpg^>~pEDW8KsxsXRP2jA$}*buCs
z>Eh3G>7gGzJ>r>zN-ti#tFGojLqp5T&Q{jemOI{=HJ@)1a;Z<LsNmGBwvqSn;D@K9
zrlwZX)$MN$!077hb8i2=wB$%>TZm&SaWB};GBq{TKPYHvVd3fd(KesmFQg|Xz27=J
zgBm@L9nQC_4~l&*L!CFr*zFf3ifUI$&i-!rO<Jw?@yuuG)Vq-KI|ai=J~3!V4G9UM
zXJlMDp7+U>jwF9`b-Ko+QRa_D#vc_Q-?=qe{yschh!Ukx^|_7?+4=FVbmrjCbn!b)
zCyN+yOd4Wo!d^A2pDbl$Wfz7OMY3P!Dj1oX9<<z{z@eZR@WU3Csdw2%#l|*W>rZLe
z|Ng*fYa%)(=HAiPq+fHh$o~F51fk^%{A_j~e<d9glboS)Q^l3{bg4?@Zoh71yY9|)
z7wOdFC-vnJhf5jved6l=)#67Wsr+HL>0IG`Xy{8!6u%7m5DtqG`jt@DCZ(_W`5zBA
z#~E*;U@F0n{`5W>pr?4V=L?^Cp{e<mnwIvlxw&~r27UKP-ph|c6y7IUyxylPMA^^d
zS-Ma5mp<+<buu<zo#p@eonQQzN-9hVUsBn^((>bT*2Y(pRn|#xp+694j7y!7YF6Ay
z4jb9=kM-W{2Oz#bC{4kDE%Y}E{_Su)>&h5P$jl$<su+yN`Itxs10qdQdGGL$hMhfH
zwNP{aPY<hMrDiQW2(QOqde!`ouq~YfurYWP6ciBL8X6jJ;58Pgmm=qnK7&`BS6nQu
zjBmyL0BLe^QbIxkhm7p5sDZ(wgVnywuU|uKn@&+Am1~ZsEK4V?{%%jlyC1Cb)s=AD
z&dD`<Un2eJ>Y{x3@Y|q+tel+D=vS4AZ5Kg7!S&%>Y^3PuXlfdo8+Y+;MRZd7=f~W7
zG!r*#L&wGzrDapwG1&3MdW!R%pPxH~cvo+)(Z$JrMB4b~gR5H0N=?M~FZMfYe}Bza
z!oOXp8mf@nW>U^);t&uJpsb@K@8u;VEG+yXE^cvm7u!y(j4ze*O4!W%!ULk47!$?9
z!U7c?J)@ui6CRqA<St40clM><Cq9wQJShsU<U5~m<fS3jwcuc!oq5R7#!~rKSWm~1
z3AmIvtUU9+JXGuM>G2KBtCGsZHIsR0_&sc4)^$ERBLlH#l9IP0MXq?Qr>l(Nf!n`-
z=Xm`MDI+s8k;520UdQFW<66IQ_Xmbsw{IiPh%~9^@lJ;kM>>57)%%1#lg^5{D(mTc
z5XB!DULry~LBN#-UM~(wI7;SV@T`q%yBS9!5+b%I%Z%Y9_B^b!(|~ZEM!$P^WlYPq
zqo=25zp;L&4kL5$$5^3O?M~gMjEoG@XRT@*%m>`P`;KtrL>3kntY&I(Sy@?8?vmX4
zR%5^PrLgcn>+R^+zdGN2;(27{vNh3ySj0w7l0pa-Ep6aJTTt3wqwmc-sW{^gY#Ul;
zY8_=26jmVsjsLC>su!x-)NgaQwzb_@AIioU*YgoV!lP3#>QCmofGctYvuMYy7Wb`|
z|NKIPM(J-S8?ISFoh|pji$TSgr++gt9&vDRm@U^t;)o^Vg-eM?k_(aI(aq?DK6@BS
z#A*VmuD!DpB6$=`8g=lUo10sS^QNjz)2Yc$!+}C&oB2KF$G&Ejn%~18bVA-3#garF
zM3$72;vc)@yu)mRxqKqVOzB_qGlG@Hnnm*!924%?E^3`ndC}tWw31-u-~&kr05oG`
z<B{?4rHzd|7kZlkBMw{~98oi~FH`BkCJOh0l~VdlGMk!GfBcYvpdP{M+`b<!)!p5V
ziiIV-#_Sz%a{Z&3g<xU}{X8U}UE`Wm?zxDzd|}>-%RH>C+HGQT+XW7uxT-249IXiC
z@HNCgQT!GP^m2zcj93p3+AY*3v|a^t9Ifr{TrFB)uEuG2%pdv~CZ%T{nviRj`0;ql
zcNWnz&Fl1TJ61(&s%N{HF~6I%GP$}q6+GyD(r~((1gSn{-_qx7gU+Nk;i-)c3*1Yd
zp8<}`eg}~r?|0v_@^U!iwq*yQj%uogi&v)tZpYP_TOq9(+ov=8``lQhMXCavDl$ZI
z=wfe#-1l>MQ_sAyPYF<5R>@bI7&BzUVuUw`^PXs&nk(Xt9|u$a=)76p*N@E*fEjKr
zS#zC;O+3Brk|US+E`vUdOdt*_8Wy>rOb`~CdYuykNqAs1mGt7;TIbo}X6f`cq;bck
za2{kf2ta<Pb<up)!Y}#x;<>~6m6{q2ZtNb7sh>YT^f>%2DJzQxUrbD>yX?%!+S#!|
zVIt+Vdpk7rVsUASog^HRi~XP^kv&|k%=6eLM=?#|>C+q4GY%L}pFWKcdWty4Wo2c=
z{7&?<^{%D^sX`y(;~m$3Qr0<de*flsbD+nIh|Yp+y#s?sx3^p*%f6%{ZoBrQAV<ZM
z{cXQdEO~+<Wc$TKy`zH}Y||^WLpd`p5|qv=1E+bcH%&A_>!^C<B&2@2bhB8wFAd8$
zEOiJKndijK!{5ip?Jia74KWl8)tg73o}O+^l=|hp%pIzCwJmBovyciSZh<nvz|5Te
z<x6n9t_NEAWN!~^b8j587F$xEToU(PTU%Q=X6DmX%r|b_c(d1X2Ud<av5+|e;q4D)
z$s!8vy!UxHRHd6GR+AhtF)<VMuB?iJ`?oX;3H9{!AO!|TM3~IhIU~|N<Pkhv+^2GK
zm@O?WZ%!71@QH}Zoi<(&GHXhRiXsi?$Y%l;Az)P9JKHSABPRawcVoEg#}8hLYMqO4
z)y#!Da_gErQ|bfm6`XPI;Pc{OsbcHI=K2`XWa6Phg7MBun<2-kE%Y82f<N*v$nlDI
z#BAJ!iZ5d#28TG#l?Nn}L~U2+X5+=Be-rO7n2hbP8XwgNJ6Yn{sje}wveG?#hy;(^
zdF<feK+nLike8dfm}r_x$;uizGo$_J(W9E<InUa)R8K@n)78~=+87G(zC6PvAP5Kw
zx&zqBYPRm<_0@6njQd&&th}>SWqbd=F?@3U&;ws`;cI@;B2-s8etr_jnSj}T3=Ehq
zeGiwAk{T+~5h!ZD@|dc!4%ID|&K)i_=_A>x-xa<(9q<`y^mM&CS;Btf<#nIk;8vzo
z_#+mU2!N5ajq{5m1ug-*F$brV*}>P^(;qK8MjI;sd_!AGWPVSLLw6<}WbYmyOe<un
z(wOKvZsc%mOy=(RN--x=;q_#Z*o!|A+#AlHl2{6n*9TdmMp_?dw0dn!3a=Loz*9*Y
z8`JRd@kQ(=_L*$C2)NXfg?7A~wUI6!7pO|9)GRdPB<U1hAq>53_Qlfa4dcv`ApxM?
za4Ems++0JXhK7cjQfF&XQSsKEA3t70dY*9}*TJL^CWZRaXX2>6$qOIVEp|<wH{)E~
z*my6M*)l#(WTt*Rn5@cEUsgtfM{(gDb?1)s!S_P62EmLw7}aa#)nAMw^ty?I@i1Z!
z@~S6@eKb001x!nd>CzO}rKf)d>Z}%Rk+d9R>qxb0{9UQ$bf#rwy>5t<Pn1sZRMQil
zi|T9B+ci4-lInk!ayk`VQo=^=u}+!lbLEbLN&I%wDhKN6-<{c{>x(s!2`g@ZmEr*L
z*oZMBT9Z1}aI}~Rt*Qd!G6v1s$H(Iz*wpwE>Ai`5&Qj}NP{357$^8EP`-@$l>o%L}
za`RzY6f9E2lO`hqOHok~0mZ6p=XcCX{R0Cz48LQ3k01-ppofAc6+zlnpiw?iVUE|)
z(V^|Jk-arjJ6!sFLC^5snp(anE8)y|Bv#AauJgJYZl_4hEa%VFv1;6k%oftEiBC-L
z;o&*9j^*^fNlFeHv@*Q-rm)6d7T0G|jsV|AMp=eGPj;Vu4Hqo6Bf`es=v_%^oAjyq
zL=?YmJSDOiY>nqOHZJJ4_Yg4Ity{N#=Bu#^3JF2g$AF{>$Phn8p%aQR9Al~6VL($)
zp(u6@48TLZh3y*}9^RNJrGk$xFB{3x;_WtH3)?pAqm-7GX659(P*IVDHUe6Kr}?9Z
zFLD*`UdO@t`qA4<{rE9@qpqTp6K8fd;(23hYIxxSaEFuA(^A)6U37Hx_1StJTwL7c
zwKYU1ki=~bK(A$BATl^OFs`h_AU!L~ACggB$H;ozGUP6a;&Esbh%3cU>!t24Lbvx-
zAodpW-OB+VvVw|90w)$Wx5T)(@9%D7eEIU_GoWI*R6&hVXW|%9Z8gW|4~GI)+T#kS
z5(?4%>bbUggLyrD(l!>+yKX+@=8lt%rA;3+`_w0lEtZTX`%uBE?{V&!S?sMx3eVv{
z)J6K6$x{3BvTsb;SOh)v$6=A>mr3Du%8KyIuCxfEoB>D`ZyhTc`Vg)CeL$D{o2t{O
zDg9ttgYwCVCNIy-5d74<>&smqYC1Ze-<7v---ZIkV=p0=OaaNQW;eu)y!mVBls;<c
zZI|tL%{IK1o;)L?DJ$koy$S4o5PQ(($S5kBLWf3Ia18B=KGc~6IogoWP_nL^&!3TE
zyCeWG0&LC7%7Uf~(V+^sY<<qjL3!KV{S1B^Rv|z@KoDU`L`WF(;e&*`J0FsC1Zg_d
zh7TX`u_%NwzvZTRcSBl}m6eU|@NHe`f>YQcoJzmLXIbmc@c7*WTYt~p03zMDiXs8m
zS465s{!Ly3zh6P=FfuaQgJk9~>pUL)=~MSaso{NYD`G{VLwrEKfE|~hEPL)Yb|$bJ
z*8ClM?hZ|w`)Z=8dX?4v2i#Vlp=LrTIZPVID=R6zRn1>Xah<#Iy5-&N_V#wASFhTk
z(fN@s9+bdiOTIl-X@~$N$1{$IR?lj(EMTtDGd4A~zc=v-0|NskblBU|)zE~n4%-Dh
zkG-|n-XpS``Q2<~d)nhG*|VOpCZUD{EWtmhThn(o$J<8o;5cL|<kF)<SR$?pr!;Uh
zUkwij=WWaDUrUi9C|9ICyiGac5ChLXX}hm{l>5Z_USPK&wm(JSVC1EuJ(Rtd&=5;y
z>YwZ_$R)7(nx=Wh!6jmolfya;C<O(Rp^Yu|zVvY7C-XzOYw%~e3!*Y{WaL#*!=Gmc
zhK9A*SLaE;`_b&@esn&d`~J5+*pp@Viwm(>uHRs${s_H#1M%5$P$$J5uO;D|fb||x
zQQg=(I{I!?{ZdU07>M8{Q^-sq8N7r%B;iu{l241rhwGfhefwbN1#<R0+}-s#5`S7$
zMl7YLr@vBDd#RxTT@<FWvNB>F`Nd6V{=~@0$fTaF&&NO75kWkzkI}xZsWR28P~>C}
zy)Ar2+;omb?uHZ-^Q(g>9rpo0nU501ygXdefQ^`#?KPsKW74jP;<6l5($stw&!VGV
zW`x!g&$<Q;j3_{^QgzbX1mRMdhBv<~q2&P5g?oko3Met|A%wo69gsCJ1RZehAy%bR
z@|V`w6Xn#I2wPiQC#r2JptJdysNK3EOB9EfX4U)sb=7_XW>$Xw7gSv@f>bZUR5#?J
zCK7Vb0)6derthMEJ%pfyW<W0=F(#F(kWvGUI~q3j+Dg3MDumLnAJJ6W4qY@e5RtuU
zB57r19J=18#$sY(#GGb0-rn9wGj9(1B&4NpvO%gre4EPxe{^&dxP+iia?h}Y1Y#gy
z_6`n~s^`5kRq|EcJUyQn{lK}nyu5+vU*Cs?Wf^uxKuRlj+13OQ7}yle%tXm@D-W_y
z$cRB0;R7nqYLUq3N-NV>7(FI_GurDDxDnV)rlwGee$l9eT|cwXuVu*#7;T-wp~!PV
zMJD+!8sRnMdU8H47L4&sIF+~5N)313dO%G86B-~sz>gUPW5F%d<p%w^OZA6cpY4ZF
z&i@)x_7hdhJgls&gr(o{YY`O_LoU>;<litwAYBy|0-zb}wnoPAcN(?pWczub{RLKs
zhKA<k?5x{wmy|w4%-Wh6HpGFV!+nhqjhc@y5neG44$il=G@pLR6l4c$HvrnT!@CR)
z4*mtL+R8^YUGuU@#=P4q>Q*iu(gD2J`h#ZBCH_N-t+cpe;Y(8T@=lZ<*Ws+iYEefq
z7B|FDiU%U?{qn<(Nlo36c^Hy`K$@xEXXYM%*IOW&07Cq=7|JTVAxKV6ZtAt2_A)e&
zOOwVo*%YeMw{PY1pHxxP$>C8ub01ypcT&K;ewMGL8A}4&AeA{-O2SJ`?GKUFxj!|f
z>3wx-8YV@xIbLkq>W^mXy!~Fy^`oY`7^*$GO|&S|ix)2vxGV_)sZw!rj_iB=!wFb%
z-@MD{(b(9i$V-lo?_XTZ+SJr!Dx{=kS!SSy-yo#WtX7R9Rv`gbfD5=SzNd2oT4B(l
z61u*ZFJHF(9?icm;KBrDl1aVf?a7H7Cdy5nx{F$i89*7E#m(ezp;5Ksp4QOuT-{9^
zAuep-(hOlhr)<}&?ck4sr9&$MEwTxKtmT!J8%k<wK^gRdXX}{|d*yJ5QoW8QhmW!;
ziUpjwcj_N$b|;`xwlma7Vi>LeOvfbS|C_ZdviI$#s5s5=dpx?-c*|<6y%=0zPI+%v
zoB4j(Xmh^felUI$>KGKZPG-%A7SFbb11CLPmS}-$y(a?=N?8J1r8w}f@zgr%3U6w;
z;`ttwjbe$TQffz3h$inH4rP4oCV^eN2c>gns@`vk5|z^bc?=5^9XEww>+YRr|9%)i
zYYdi33By4!R69!lo@n?4t?sbOHjY0|D~&8h`}=}2O^#<4BmZ0*KHl`ae=U@m@1Mm<
z*Oer@?R66y<=epO6XC}Vf=;H5LBX*7w-EKczS(%Md*J-POCxrd^(=6y|MzaU7A35V
z-u`!SCWQh&v>1&=U@uMt%zb$WvsI92^PTk3DBI^{;jw>*YUPu?!x5{Y-e`4LTpKZH
zn%DRYxfylAA?x;{guby5O03E@8?1c=u}i*B2meI}u+E7@t*)vqhsrj@wox(T(2W^?
zcwt$_{*Yg8TM2$68}S=0i~^YtD@*)w7I(8SdeAaEq#7r4{<#4HZWubFuwGUu{(A>V
zfRR|+VLBd&&r?IDMm;=0zJC)}EI1bWYCMX9zU4!`q5nR6jUX*%`Cr7tAh64z;+PL2
zE)aS2pn93jQz!1<T_Fs{n@i=tFGeI5{4xq^rnQ&Am;ZTc18Wb4<{UEBf07N{R0ik=
z3;mD(eScS8#$jQ;h)c`B`@87&aOk=FZ!B5g3kDe1&_L?9upCqi_`9Ow1H}4cM#iMS
zb>-ux@PJaWsV`9}Ki#a}Xw|HBpeZ*U$Po|1>ixvE>2C<^py5jQN2krPaNxq(^;`XE
z>vu*Tu*R`4{U>;3A3{le#KaWF=eU~eQ~*RGi%y*#(BFe_nc-CNe4%rc_(2O`9^XKi
zTxwGKoAuA+U@!tZ`0LkePLe*^&a>lPMWFF92$_COnx=Ial=4QXyn3}a<2bNCVHmj&
zjPtLJ4R_V?OE+=u-GY9>wUYpxj9U97!XNgz&mQ{S!8Y0Z)q)gu|4Cq280O;QA`(!7
z2GBY~_hd4V>LupDhsQ%BVNfbd7l$Kukupt<6WY-V<aJ(ter8n_A#hSsQYera@CgWT
zNlE4O^(mp#JUKrX&;|Ae6%FmiL+CCf`Ra{+3UQRk&IiHJgUBXUl-p+J2jq2V?~SJ_
z%n_{@q67nHU*d6SQDrk50ys+V`iuz5e6C>UBrWz^SD&8G{YFcZ3$p`<%rGq}U*twJ
z`VmEmd7tAJbZXG}<&VZhMIn6?I-Y3*Hu(XU%#NJc`D-~<t=Kd*RLU7xdsK6TSMp=!
z<jCb4Y@Ai2?tH~?Gz6*>1G3{NTnWn9`1JmX)EapV31;cLgqS89t@p%&n-M^4Hs1M_
zz%2x0hd8G@7nxQAc}o9N!4`9cBq8zr-6sC(LJ!C51tR)a0z;p6GoUY2F>woUNnxaW
z>mp4M1U&N#P!ds8D6*vN4|LM!Q`S~dTp08~95c=r4hpxaOsy$tiuLn@2DsPk#&dn_
zMqaD(aU9dZ0bI51%N{dYS-}+=K`?o!Xxn}pj>`0rUa_quCo+gc)3sTT`)eiL#mq)g
z^Pxi61DuXaHHmz(K%9)|i^jhV!W^l4NUS-`^F1{;l*6_u0(9xf)YqQf3&z_Pe-n&;
zpaRb$LB)XnCgp?l4(`qC^-09O#KfpEP$kKW!pDjWCOUnZ=QH7i2TM)4d`aG5#NHb@
zoK?58^|>byz+paU6EW6B{G&F89fvNkv%15e{GYoUOyAm@^q067Dc|8^E`dFSo{zQ{
z%^u}Q1O0|B*}GA!r>OQ=K&+8<-TXH2Qt?`$tSF!1%Ur-m!1}<}0SW-<mrvF&OK8<&
zyz|}apRAOri40^Jf~k>9;s3bO6aP|4=^OB|qv&fDZv>rBJl6ls!xlQ~5SCfFxlfF{
z@nd3R&Bu$#pr5n|aMY|mvMF{!MNH{lS^Bzpcw`K3K&#Se#a(XDfe!o<;#y-{too7`
zrT?T1WoBPDcX#^%q2s6zAKF*@k|yh%86yS%1ZyrNk6pEKWf7|8!H$d7kgAyK(@<0I
z4LxU7e(^#~Nh#`6dh!^RIRC#XdGuaz27Lp-XCP(>e0+SMt_yh{EqBqSy<*II+0B&K
zVxU&T%c1m7w*A5%oEj6;3Wo*_(`h#7AcO4o2uWcBKZowWKaUedFfhD!51TLkV5IOn
ziz(v+{0j~bSAnZ}7|ED!z2KBarBulHO)O(#LJLC;V6#y|JH)iLlY3}zQdBdqES^Jr
zKmAIB<JSWH!|T&OD`uQUTB@goDtErHYr0!HDOQTZ^fEp}6B(vQEmqu!=>#N=lId+=
zi8#!DKCBeu&$hprQ6ftL=^|O8@)mFrh%Ol@WFr$3XeUdib&7vmJJmG*Q^a1-_`Z7e
z3I`v*{flyDiDqHMuBW?u9&Z1&<<XfRajy%l&a}$E&le+#06&4)6#c*p<`oqIHhNt>
z4Fj^3)3r1;s;uGPLywVSM-Mfn#8A_@Rqp)&>{Y5+SYa_55-EI!YNk%~2WY!|xc26M
z%c9CX8JMh5c>TqN!4o4OJ;-~|P0D$BHIgh`G!yR9f1a~iDtexYIC1G5Nf}B?=AXq&
zST(KNwgwx}Zx-Hc+#jlLK)e3hxb*fdQk~0o2%u0PVV$<8MpwEMkcgSN!&H+Hk)thY
zUiscWjhfx{WgD#{<1zW_n1<Gb)(8hi(bpklm|Xr!4<cWL89`@TTjengIgh9&xmYj?
z?hRc*{;VfJ6Dqi9kXa5tuWhuwvp7{}!ai{zKgu1SPlx?B#hu_HTBit6cZoiaThuU@
z-lSqN?+H`64{VIlALm(3qho@aZ>j4=JJnv<7t{})p;02$XOwVkv-P+VIS#ClO=`XB
zm<gX$*IG9)RI${r_3IjUeu+qTq4as&?Ay6sGpQ4)vg0mG=VZ4VE)KlUqyp@^Bq=R|
zTw4%0!|o$)ea27Wb~VJidK`+nXRsr3{<G2<Ni#ff&`aQFrVfs>zPCkC4m#ivgSl1l
zUTse$M6P8KEgl836cu|mEwX<n+V{lc_p7jHLI_UziZLTQAp@f59VBj;`67-jjA?<x
zq9dFChl+yS@4vUVM_X?bTx=Sf@*L_g9@Jren8z}z6)i&}&bKiUL-QQbdqbBem&g$?
zH8u6}KZUjWeD0H+u1@K7fgYVdP9LH=<QLV2Aegn>f{F8k0g;2fHtd7H!-|GLg4DYf
zFC~mx(1?hnU0l3*_Wb#P$HCWp11<If=_JPpJ-G1$xG{2xIuo7OfK9a_M<R?rP#$t}
ze#n%L<d0BOQ#*ht1u!k{;J~4#ZQr4xQ||hzC+QR1+qAXtUT{!Qr|hf}u+rGr*wU2W
z0qS2|UeDZm3@~2#kv9xT5@2Rjx7yGb#Fk(M?E3+q6e}z{blOQDc#-|{-DbzVUr(#7
zCdItHg%R-_l3{nc692?@PO#~GN8sz%uj_M-=L`e;<9+%4ul$>d3UBJzW-?OxD<x^s
zM70HBKXF=D0{Slk9+HU(vwpT8W_j|vbB$fy-HR|Hq2}bQ=qmDjIZze0Go9YmkJz&S
zxcMOrJDa@DQ}-GbQuz6<d}eCw*H-G9Dd;<_N*z-$voI*z(PnaPXT*)Xd+f4GhNv*m
z^Vtj|EB6?xIV=BLQIYKpeC)aMZZkVpvjdd9MgXyu`p_?28t-lAIb2Ec#Da&Tp$In@
zg*}bd4EYzRuUC-BK18%W94L$JT2P4=%NqNAlu#)(i2)0<UzJ6aQ2??|eg`<4Kd`#D
z@Noc6>wQE7u1?9#ozUp~i%a2VCr2#_g)aYMU8qTn^-}+Zkc$xXOcQbW{{_zBgYR0H
zbfE3pcLhXAEK(ACKmkC3PzGwGR(W^n#J2VjC9!QI7Pgmov7SofZN)}H3hb0_Ty#o*
zek08G_sildRzK*Mx;i}FPS-Ax@W~3-`fI1vKfU<k-~{Q59M-@8>sLR(g+h%LIn9a(
z`Lha|`dq$q<k|$&&$jnqUdV+wBxa3?nTLdd?Ny5aj1o^h2_;ny8$?#`Y2NY3CriZ<
z`yvG^dZKE&_j}-+K~QtRG|921%#v60ZtrANz$9&XxjznbJfM*M-jW@-*?SDvg{5>u
zIJ_m*Up@sjP06mQUd=?iMNd(}${z!$S;!mC_`G*As$)*HB@V>)O@W|;6|YOQgM(KB
zf)GvNu-C$xu2Gt?ABk*21QyQGwv9ryC?$GmVOJ?j3rnVq{^?er(fZp&FY!;~)WyU^
z2kdu;K>ia%#kR-7QhVU;uy0e=^Bd_$G27nq;w=6vl2;MEjgV~~ar{Vfp%g|ybly82
zg@MUbDCAcjbkk)$?kAfmMx;e8;&hSU94TFQIpH!INxH4_LeutI^H{G&5>Kst&{QWW
zbWp4Dc6K}HT#so+#{INRty^9euau)*8nN&3#jr;W|9G6g^4`|fUPt=@ODNh>?noPH
z5%*B@OZppg<Q746{z$7fy*UkI?Ze})(wV*hO-1uZ_a=U_&|MY`8f4BHbasjdbs6N&
zS=|&NcxNM(b=!gDreSNM$8ZOeJi~H&@k{!mucoUB&#B!}7sOc5_g8wX-5V-@BRv@>
zH|jsL;`cvE{p(0GD)rqbE=(a`f08O5Z@qABXCQ{Ypg@iC_o}$&!|O<Wp+~0<mMlqF
z<O^RXRGrY{BN@eNVm3W0^mBsZ&ewLonUp^{=%2$>3>Ms2tI)iw=7eV2YE1SX^JrmK
zfJGlrRE1_Zx-t*N5Her*AO0ti-sPb;X}ACvcEnHrIWZchWO{M^3^iU~4Sy)qa&Q0V
z;%*_`r5#t*%dnSHC!PRrcO+1F<bvO$@*X)yh5069$Ue+1EzXMLmu&mik9+IfWA8%5
zqvY&04J{ngnlMFf^2J83#0GauMPXt`v;%Ik#Y?V4i=a^h8KN<BOwPC{HzT3cNTGLq
zJ$RA5n1LS)TGZZ)+a%!>rN69UePXlORdT|Ogoy6n%(+)lrd5;h_*mj~m9+e=*!3BE
zr*Whx&S<%g`EN1qyOdKZwhsSPRa?0H&iFx%w8LYKS99L^K@;x6-h}wu_^Aan%D0v*
zHjb_1YR<M^Q)!jz+XeEhhJ#1QCgGcHJhJX@l0GOFAGNIUb+10JD^W20hIDeqXhOlc
z-{Ldp`vX<?!Sy{`TLzS0ojQ_&`_||o$oFZuX0G;CAOG%sHI{ff9xrgRq;z}qknj(q
zQFcB~(YJx;13|7wIVzudt`lnCXEOx!l8h(KDZeQCQcCT6;bTz$B!e?tAlBQTWp+Jj
z;^Xrvo>vRuSjS5tMYv|1I9r=7hxXQcM?V)=(hbe5Zf*N{owzHq<26qg{z<|SBPH6}
ze41+~5|STw;<@oYF7e}<1gx5l5yPf7pk|Nl#0^F80(E@dX>ZjDX>s}vt`AdU1^S*z
z>o<jn_&IN@*u2f9X*-RzJq(I^=*?;K!^c&#4wi}@H6{Fvw2k?5verPoI+r5TSrR)Q
zfx1TRo2+2Z?zD^b#8gb;*2$f3<9dFR$mFI~(I1-Q$tkdB-LYPw+S6LO1ax~mv5nm6
zQkm7VH<u$GxK5BVmv5wwl5$A8_2M6LJQ$ejInUi}&_6{Of^5g&@b~D+$w^c~!VeH+
z^k2S<*PGj0t66A!aFra8c7%U0-E>cwbozW|2^T~WdWu53v)=EQHle2yZg}a<GY|lk
zd}BBlkBCSb=u<b~^bq2atE(#{m|nz2MSWwgo)NRNE2;Cn>gb5}b=x#fkVPF7tnC;s
z1a23AhE3z4YEj+q#|@2*U0q%Fq>&*Z2GGePT8z67xRd{S)Hmwu)?{c;Jgb|Xy2ZwH
zwOob{JQHb+Br<za9{@-}K@#-)9v&VBz#MmWMp6tkxE~}4x^sZ$B|9st-M*lqAsIol
z1D%^-+k8o=IPl~_vl)8+(Z{{kvPPmU52$IBwUR`tFm&cmiD+#V1K~_wK>;YzZpC)_
z=jPG@e+T#BciBRH+p@Pd75ek1lCImrZ6MO0nD)0@aqE@TTsAsYU`0s=i3P8AG2aV@
zemYLeW&sG!7Lcj+u+$?;ywCNy9w-9(VQfIp%9>kKlhEESk&%%>T0CmT>E_9UFIOK`
zi2b(5ptY7sDrX;^@)I5Klt|UHE)SsPhXD={d!_13f-wGt88VFQpDHWk`uh5U+$UqO
zM(X`46n(4@BWzz4&uN8r2R$$nX}G9eFmHc*T@|CLE}0f8_OpJFFa@RjqfmefwNyaH
zutmufe$|@l&vNk+IUmB-yEOyDDA2-W!;l5kA~3Wi)lntmclzveedV+}H)|YoNAxIK
zliTP6*QxsxtZ}x5a-*g*Dx%oY?-)HtfBqhOe&NteZk`B06xeyaon^>B2?Z{58YwMp
zdfQnw&$v%<Tgjl^Zzr3b$tUAEwisVtliwol9&R&m_cTTk$-;l}%6R!wfQ52opz*tw
z!6RfhXCv&?YszquvYsxM{H4n1eJAt-H33e__WO4Egu(R;{F;i-bd7;?$n<4@PlQXh
z&>2}DQp1qW?3E#Amr^yJIA})V;?=;(A4UV>kga>)EA6fA(xtL+7OyGMmIbF0G`<To
z8*`qzTgt1ZYJBQmcud85MHOKib8zBdSv0*JXI3%cb};T#WfFhzr%z}i!QQ`GjqICQ
zX&%`poJCB?rS47u)3m+zH;(Dd3K}I<sL39$HL}P5q<idN)glbdeb1ghx6NqyM?Ldj
zzzOQs(xh%KP9Z@0uv(7e^IaE-pyxbsI7JHgez<2n_1h8r+X<!Gp9aR(6QxG>$Jxp=
zAAZK+G-C+JpK416otH1q$K$Tf?+FLeNeqebk8IBc;V^%6(od1@aUt5DsILEX(Ll~$
zNaZftrWw!Xqgegm=Ab!O#In71P4l?BY@Jwe4jpsU!TKMT1t%LC9d@9IxFyp+4~Yi7
z)~lEb#O8M=KmkCrG>VLoTh-wD=0+vPQF^3RJcC5JvZl4c44rK6?1#JGx*LOPoyQ1|
z2vzb(6ZxU$k~2@gY@hPVZt#?5MKrFQzQIVW<YYsM<KD7#^#u`?8`(2+)i>>}{YL(y
zW8tIty{Ug}!ykCUR$_T;VmqoX$$CRl@Jt^4qx0R{WNN#N3-1FM<hiX6<15+(Yu&1s
z-h@^W?ag54O|aVCKgY;!eZBhHyl`ogBr_l^hJ=9XUSEoC{z6qdR#;6I^AlBL;J~7w
zv9gSwReOlGe8KC6Q`GdyKl|YR>=WcUH@v{RR9~x-FO5;iuek%#j`7*u2W`Z>8ux56
z>J)*XnMiQ=&uyM>14U9p2~#+?uduv>jamgu<A>>0E1C_Z+a~!bxlQwJAF}gos>!8l
zpeFu5I=t<^1MyE!Vnq9cc4ilRSj)D{v)}xk(ROo1xvwZF9mC?!XXp{5r!g>_M)TyW
zqGxJ-sQ}Ds*1nZ0_A?G+m0zh}7Le6`WSZ8wCAzOnm1e{5KU$<@7-Z{$|3b;#pzq6x
z%hNaP=@d!WaR=)>41%0lPa-k5!>SVdE$S$RV;(G0CDzyx9S_X+&$U|Q%(<0n5q!Yk
z$<CT;uSh$x_cZWClwY6XNaNKhzbryh70_J$u$?;nJl@t!@!f5k?U}dw4W7GnK7Vxz
z1k_u67fCQ_A3zh17-bKU;632zrvG9#(MHXX`)>AB`UbDki#8aU(~G*NyeG)(nAmc`
z+~h8E5hwW=XxM=l8v~=~x4lD}AX0(Iz=|7DvbAZ-uWJ-?5_H$$sUT5r$b5UJIE*sg
zt7KZ<lyHaY(YMgr>#a6CHCM^}LAE;EJ564%k)Q~CCHwT4Gkj)slzG|`GB8M81NGYi
zQ|2)e``8Ro8ZHTE-aNUe!OUs=R<vMvvSunkJY0OUn#SeVJci2<|Ig3?+P~t(LT#O?
zqsZgBL5nN0V??2~^yW8HkLBMU&l?}ojPFmVO`i^wgx;T^jPh)j$<fPIGMO2}m`zNb
z4}bN5S+JTjyrT6nRQ6Kl`gixM50}dl?DBGHw1?vLyx;2<o5CR8BIu86_*r-~;g3^j
zkQ=Urd)@8`pW=hGYA!j#_9;1Dkn`GxerdbJ$rDQ}TNGDIXBW@PO`+Fg(ng6wZoejP
zk3^i)J;*pOV>@~*=GWk!o|$qU8)s+#K*Z#_ob{4FfPXcgho^a)QD0h@=1J$#Y9pXb
znQGKIo!IxIEQSxov{3<RQuM9{vShEX2No0D#v*(7h5jd3-&^-dwNRO)3uJMu-L?8A
zo*14J58B8FsD_=bAlqGfv1gZ7ryi~h<0>`{bApMIrL0Md+=4Ng`qz3Nsqhv@vTi?0
zKKOg_#9dT;_Rsoyjx4#0z{Lp_ZluVMsAxa^Z%8)JuTy-y&$$)l^b|ar(<hn}29}NQ
zGtCXMvHTh9zS&S^AcDmBBGmnF5`KY;Kv4H4F_$NXw1xbuQLU5XcVt#Stcbt)c<hq{
z1AF83)fj22&L{M5aegZ^=k6RR<>48bhhb^)5@!n*NLPm|SgJeB<~6HdZ#FdkMnVd8
zC1e9ybju|G#7{GPt`7*DO}=6h(!PmnKT3Yq$<;g)hw)8%6YEcRh?l6i%92n2`OUXm
zW&As*f{6uX{6O0Z)^mm*-Zv)h<qjiEqQ<6Vd8i??4i`Mx6DJnAG3SBt=Rp6&4l90i
z*jewMe%pEad(^c*#81fDNXT;<GvAd?l8}Te>o;jnav>K=iGQw6)!&bH^IZRF$%PqV
zEeWb5^X7PGEGmvK3)hBJH_;BQ>FtQ`Z}kCW%N#e~I~a28>nKFybFnhBV$2YW)H%p_
z9pUq3gLENMH}h%cAkN}umop&KG0Q<SPVL!7u0rHS(s4oWOMjOZVkT9jDU@@&?b5H`
zeT6-WcIHAJQV4}0`_)U@DSu&|r(KIyRq6<v_DtzaV)Z{^gw|YoWd(;Am7M&pr9$9c
zzoHcVUb4OQCA;~{z3-Nvt@+ZhkBHP>s@Up_Iwee{quOis6=LMC2<m@|Eol~{KKS$5
z$LHkNO;ofS&7vm@ci6OA>Q^ofT_UX#hv_>`P0Ja#dh@e9lSD5fFBPl@3Lo;%r2Qmp
zI(!@ETT`DduHW)5aQTK^5A$9J(XZ`78*QSAai3)l>q%W82Ktmzy1E^o4=0py5@dFK
zKNdhI7GbUJAXK`@k2}Cs;k2~&^O`BwQ>keXrNEvenT?fhn(V4kyn1*pLk3d6?v)fO
zs4~t&$hdv2zibMLr$wG^vq?N5m=_L?j;}C0O??DA#kMm<uTcQ5kcAx!OMTnNn;emQ
zhY_uTAJ6Jt{YE`(*0_@N$5~1)v+;Y2bnbqPlMFQ|XM7W%JYcHjkl?Y@F+$8NSn0;Y
zB^5fAo(I}oJKK8KwkXOE-WPlU1kP+L&3BhXSET#58*bmWJCFw%<K36JB5v44wIm!I
zpJ;6sxPSMmHa+WJdY@nSXKOF?bgzHT=)*`!eE>WrqwK@h#=~9g*i@sxrp5b_wj!@v
zs*v4|b-LfYJEdiaq^hJvYMS`emQHooGpImLpm){pE*dRg?mLPX=r?{a6fY%Z3I1m0
z{ypvTdTw3zL*oJEk-+!8Had|~&p({Op-a`5G|++FeyyiW5E{We!Boi2;bV!#CB-Ne
z8g3hV02v<ZEn-R|l#Bc}OPt`MA~(JJPs@-dA?=!e*;L-w>b;IQ(uk2yC5(HsM{kaZ
zc$kJRtgrRGMO^wmG(7X3Q3=lY23RW1M%cg0BDddY1=jN?l3?}1+w_LO0STeGO*fO_
z;appUrMJ6Pw3$Zud)up%1L3~;PvS=mJHtoG=y6xu!en|4ryDuqAI6AF8PNeAmTjuD
z|KvJ<t{yvAQsT6$xARgXJo;2ip+Rxd`0luNRsK5bab9v-gi2=rV*&3pE66Ab&6Nwn
z44peK&q~iLR#|;`7~G}Fj`Om*e<0XBP3ybI8<E<7B4%@G1TZF|&)2*(owtOIKaO$u
zXkh{W&|q(gOwNCIrIOa80%P&4hPwjGOao6v0U_14^$-#~rT#>2PkMFcsjA~8aIr)|
z%B7)E-t2E-D6TfvU2!iYlEgPKtF*dAA4UFbfrOjPQzq^ef+Y#*GHCM;Bxo#NSdX$S
zWj%`sR~G6baVJ_o-1<>SO|wgn#3zkeAn<eV+gDC?^~&m7ev^TdCZ;f6?NGTpKI2d_
zqg>_#ES^?b_YHcWnszsg)vaAHO&Edd&Z(ON-$%i7R!6~QfcG&DTP?{Nnmwz2D<IPd
zXz69m>j1$8XiF@Q;$LXaMqvV?kJcF4dp-A3z2nFbyQ?+xuwZU{@3n|UNeOM^hu>$0
z$L725j~NO}7FynX&I*)I%&k#W6@VPhXHoK64WFA_P)t>$?R+L$P4=0McyH|r$`}Q`
zq%wX42~)w0mRRGG@JGI)+S6aSonFsGwA<pgs5%X}%eWgcL*-juSCu;0qQU&H)2my^
zCCz2|^3>I_qylc@)2JB4uC+~E$UT;I?ViSMLQc8lfBtHrMlt^=?(+@7L(MTV`V})T
z@#@itnP-oGXJI@iyoY{l!r2<i$}OkUWY5c_Go{q-ur=YxNM>02E!T13l<4)cjC$Rz
z)CAO6T3@w;B6iyTwAHF8B~3VP+Y>hq*4jEL+GZ4A4=o4&?ld-DbD3)pblbk0z<qbM
z*VlDEAdy1U!z0$8S;Fz*rl`N?=I|YE+dzdBk|yup3^kW7!MvS(XUfWZ=es_s$Ni;j
zzh0QlU(NJ0N<0DASq+cvt_a1SpFgb+$DjQO&mK>ElbXX@jMEp4&=B~W;UoA}N)iYy
z92oeS+oMTP-L?XT-`r*(jgTwYrcyHxl!{-!>f<JM3^@=YySur)M$CA&ErJ|c)}8pl
zRWjyS7`h?_lFd?e62ghfTj1bm)ZHa)?g804NJGRTY#V=KR(!byD$zEe>Q4^G^}2d`
zfHfy)UiAI?pJ5yw(CDDhAv{RMz`y`aI|%DupIa)on>@=LEHND*uXEaX=ZZ0b4HF?H
zEv@GY3Rp0mV!7Vcgs(xq;&nWm>q0M|BUvaRvICO#H-Eb5<kEz7wv|{CK=hLW>QRRd
z0<|w>-M0@wG6xcv)|=RZpIzvQdfTu?dL0LZq(P-Rm9C8gYW>B=<GCfE##IFHUFjGH
z2R>xbulHy720R$D(3;b$l*%-B@#^nicd8>C_PWh{;5zxS;s>FOvolw1Z7p~;^5G_q
zzrNi7Z5WtW)C4|Y<b3&p3i8L?W)@DXRhR84$!eR~z5RV<_)$hxRovE=)xCT7MzA_&
zxqip0hRPw{hr&Yy^-Rf<OvsMGNJA3<S~NSbF@T>e81Jm(cze1NTjW9%L~<Y`vmm_8
z<4y|i2qlXB_^|^)eSqDKtn<aom#5p+^Cgp3Gfu<uAW)F+kVzT?GU7YP?(TCKp#p3?
zmF=vyo$rqz6F?}-2RCQ0)4V}arRQ}>0K-&-iX6;;tNu%t<3+|jam+CB`UoZl?$F}~
zcqehJdJ6C)HHTwbiYGdta^yh_*nk_D@jl-Mf$>*j^PZnuS`T4c8m`VZwcqS_TwELs
zT%0ULMi_#Ms{xdjh%170{{Tb`Ux>|zPr(*8QDaY~Q|F`)q5)9*3q-7}tqteBq(c~s
z_?>^Fb<Rw}K=yR2d;rWozb=pGP2p+jNJSi$QFlQ&`8<xP#fT#h-+0&qbdL;-j8vec
zAOhyZ|G4tase@{PdJ7OFvQADFJ&N{1c%VmZ_|we@L_-QFBFoJNA9a>4E*c>8c4tT1
zp}<=~u&S{S#br*?MS(5qXQic@P3;OH2&a2MXuQK)WjW3Qn)x1>Z6>hkBZF!SKAlqz
zYD!wUgm3GEnTUZF2v#Eud1mZxg5&M=@{edRhyDHyQ?QDS0-gFeXd~=l0}v9uu_B#K
zUX$`k1f4}C9kHAd%JPD}I|pV>GV<~(^Ve5AV0@#1SF^ml%p1X~Q}+RETizG@(x6oS
zB)Lfikpl0M!(mxwr|H}V-t!u7&VMu-PjiPCR#u!}Sjr_+^a=aEQc>Yk^+vgM3lt_~
zov;>A3*P)TKi@q0hJ!1q?-mLQG7M}b<mLNhMGnC638u~oEAlTeqmN(-1zieQ_Q*P$
zuFfpMNC!G=QX!8IaL_ATtvFEpZWO9+s<W-Htp&Bbwj-Sfd1Q)!>nb=FjX*HFHC?S(
zsFWlJrv(fcqHX7Jw+KT}==ui)l)~<VosJ1@8QJ^@jT&^R@FtMJX0&&F>`ID(hL)a@
zp?|#u`@$RZzW!i;AH>)C1DoK3fuly+i7%<Y+M5Vlo9gkKp;FAs0mP*EgoMa<XYc!L
zUvnqQfiP_!#>3_C#vpWyR1@UC&(BjxDt{@mnJ8}nWe)glI`?75#ST6;e%Boku2X{m
zS($N!7LS~K=fqV<S2v=#xOiz|XSN>P8f%a`mLYJB_7^)W0wyy!&&?Y^NG^D~9Q*h8
zXeg-B$=#Q65f&h@xq=F4v9yys6QrUr-wzVlsqq8x{?qNKfk{P?%k~V((BRNeDk>^J
zH9fD7U|dTBt@EeTgS7+D3b28F4*BNI`+{yIOD|Ido<k^9j_YRXHG3oc9z1hyegPOn
z4sCaNc*oA+A=%yk7zv*)<4I%mrSv89#rF2fy?gf#GBzlNgb?yR5J#p`_*_K8ksi!d
zq(Io;EQ=eZKqfzmb()N@*q9GdLrOxJPGPc`3F!;83veEK+TY{BD%jve0~x66u|ZQQ
z?m}0Fwd@4(hwu)-o6fPFZvrdU!sh045Z1#nFVL!v2xX}YMp!(zm6CcPDk1wDg6<FT
z&OsXpeyC1xq5c4YtwHIpg@u+;HN9D@kb00wM}lD~77WGUZk2uZ>=8fzRH@sL8D~sf
zoK&%H<EM^<w|yptU|R*NBf`7_24b+EViL0<g-f-8i-?|{{#OWNkr{WkJm}CTOZ0Do
zXd(ml4Z;u`{1AwjtgA~tU1d!LUIGw#Rs?&zmWK%+q7+64_#-kf>Hk$9qi;R>bQf$&
zUsdu?Adiu~tPa3gi#%79#9d5)qX;tg69}>QAtC%riPEqZ2*7(}Wb&XmejDgaFkNli
z+0zpW!_>v??LLSizBeaq_V)H*H&6!6GwjztKD^<tDvS<}j(K@`Ez{FUuwmuk>$<qO
zkdc#f>b;mMHN3O3vI3>%C6q$2B%q?Ae$L2v2PY78zx~rf_c9p3%-tsiwrlXwn$9<Q
znKtCbj9MU4I1-a)MX)r5*9SzLL!f|G8*~W>CjyghLjvSLfuj@{aU+b32=6ySZT|PK
z6C#&^HvXhj<f;W6!icmgAdm!w3nupNe+Q*c*E1tYJzYST3(9?ea2{g|?jeEY8^q<>
zfLR~Jh)R?@)?E%XgRA+^!NGkHEJNBrf*=ApMR%%@CoiOLgwh_^UvR2|gX#LlUE>#V
zEIQqwWM87c`~&7^kZvsS27%EDH2YwmMhM{2$2a+$)^QRO6M-uS*KY@z>rBg3r6tIK
z2|-DW{29zN4QIde!$`P7yv~pISCed0cc-Z&Vx!q{2Dbpcbhcd<gU7A|YJz)fQ5aZ9
zjX}bS@ZUg0zW9%dmF`2=+dyXD>ocJgg`iQ3+az`UAlnVe_*v&{35t1>@<haW`u0r}
z;okv!?rS!L9Iq9*dI^Kfv_IKhb=F3#23huD#w3Ve5QhQW46sy5P0cB^PS2yQE&>n>
zh#@QE-%jfL4zjz+W*-q0KVO7v01V=g2D-tY4pRqE6c8XvCKF`+z9b&J2M?aBsuE%l
zu^4s5(13j#Uy?6fJ$KXsJhr7i*WQpfgTun8!KVd}767$sPMPKuQuzw(q&1<jlSI!W
z#zDz)kiM&f+Ykf>0Mp@2Db$vZ%){1&fCd7h2_z0VYQ?%xZV-lG2*Da~TJ9eoBRskI
z`1lC@!7y0L5#}(!8yhpVPav&>G(8q{OrM|n{WRkQO;8yK{tz<r40?o;51z8jxQ8BO
zfsg`Vj1UtY-BLav+ygkxt2-_hhv@AG4&2sR_&tP4+@X(a+-@z!^($F~SuM3M>Vge8
zk{Oto;K7PCta6!V;{N^n3LW?XIAYqoU=aRae{|u3!u-!ivoWqHEchD{NV1X&5=COK
G-~AuSU2%y3

diff --git a/development/_sources/examples/1_basics/1_quadratic_function.rst.txt b/development/_sources/examples/1_basics/1_quadratic_function.rst.txt
index 6cfebb40b..be238ad32 100644
--- a/development/_sources/examples/1_basics/1_quadratic_function.rst.txt
+++ b/development/_sources/examples/1_basics/1_quadratic_function.rst.txt
@@ -165,7 +165,7 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations).
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 4.234 seconds)
+   **Total running time of the script:** (0 minutes 4.262 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_1_quadratic_function.py:
diff --git a/development/_sources/examples/1_basics/2_svm_cv.rst.txt b/development/_sources/examples/1_basics/2_svm_cv.rst.txt
index 4e8f6447d..e3d52d962 100644
--- a/development/_sources/examples/1_basics/2_svm_cv.rst.txt
+++ b/development/_sources/examples/1_basics/2_svm_cv.rst.txt
@@ -1331,7 +1331,7 @@ types as well as conditional hyperparameters.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.520 seconds)
+   **Total running time of the script:** (0 minutes 1.514 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_2_svm_cv.py:
diff --git a/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt b/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt
index 00c53d234..e3f3472d1 100644
--- a/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt
+++ b/development/_sources/examples/1_basics/3_ask_and_tell.rst.txt
@@ -141,7 +141,7 @@ This examples show how to use the Ask-and-Tell interface.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.931 seconds)
+   **Total running time of the script:** (0 minutes 3.933 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_3_ask_and_tell.py:
diff --git a/development/_sources/examples/1_basics/4_callback.rst.txt b/development/_sources/examples/1_basics/4_callback.rst.txt
index c0634edb2..0f5fa405e 100644
--- a/development/_sources/examples/1_basics/4_callback.rst.txt
+++ b/development/_sources/examples/1_basics/4_callback.rst.txt
@@ -146,7 +146,7 @@ Furthermore, we print some stages of the optimization process.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.149 seconds)
+   **Total running time of the script:** (0 minutes 0.145 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_4_callback.py:
diff --git a/development/_sources/examples/1_basics/5_continue.rst.txt b/development/_sources/examples/1_basics/5_continue.rst.txt
index 668638b7b..3a6f758d3 100644
--- a/development/_sources/examples/1_basics/5_continue.rst.txt
+++ b/development/_sources/examples/1_basics/5_continue.rst.txt
@@ -170,7 +170,7 @@ there already is a previous run with the same meta data, this run will be contin
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.582 seconds)
+   **Total running time of the script:** (0 minutes 1.503 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_5_continue.py:
diff --git a/development/_sources/examples/1_basics/6_priors.rst.txt b/development/_sources/examples/1_basics/6_priors.rst.txt
index 47603fbf7..a61a47631 100644
--- a/development/_sources/examples/1_basics/6_priors.rst.txt
+++ b/development/_sources/examples/1_basics/6_priors.rst.txt
@@ -223,7 +223,7 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 22.196 seconds)
+   **Total running time of the script:** (0 minutes 21.926 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_6_priors.py:
diff --git a/development/_sources/examples/1_basics/sg_execution_times.rst.txt b/development/_sources/examples/1_basics/sg_execution_times.rst.txt
index 15ec6de30..4570ad35f 100644
--- a/development/_sources/examples/1_basics/sg_execution_times.rst.txt
+++ b/development/_sources/examples/1_basics/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:33.612** total execution time for 6 files **from examples/1_basics**:
+**00:33.283** total execution time for 6 files **from examples/1_basics**:
 
 .. container::
 
@@ -33,20 +33,20 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``6_priors.py``)
-     - 00:22.196
+     - 00:21.926
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``1_quadratic_function.py``)
-     - 00:04.234
+     - 00:04.262
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``3_ask_and_tell.py``)
-     - 00:03.931
-     - 0.0
-   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``)
-     - 00:01.582
+     - 00:03.933
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``2_svm_cv.py``)
-     - 00:01.520
+     - 00:01.514
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``)
+     - 00:01.503
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``4_callback.py``)
-     - 00:00.149
+     - 00:00.145
      - 0.0
diff --git a/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt b/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
index 2171a99c1..0ed955ba2 100644
--- a/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
+++ b/development/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
@@ -68,24 +68,23 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
     [INFO][smbo.py:319] Finished 0 trials.
     [INFO][abstract_intensifier.py:515] Added config 598f3b as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 598f3b as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 91ea8c and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 2b67dd and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][smbo.py:319] Finished 150 trials.
+    [INFO][abstract_intensifier.py:594] Added config 59eb1b and rejected config 2b67dd as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 150 trials.
     [INFO][smbo.py:319] Finished 150 trials.
+    [INFO][abstract_intensifier.py:594] Added config ac4b99 and rejected config 59eb1b as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.023777008056640625
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.31127119064331055
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 279
+    [INFO][smbo.py:330] --- Remaining trials: 298
     Default cost (SuccessiveHalving): 0.36672856700711853
-    Incumbent cost (SuccessiveHalving): 0.01892602909315999
+    Incumbent cost (SuccessiveHalving): 0.017254719900959392
     [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
     [INFO][abstract_facade.py:203] Workers are reduced to 8.
     /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
     Perhaps you already have a cluster running?
-    Hosting the HTTP server on port 44981 instead
+    Hosting the HTTP server on port 41439 instead
       warnings.warn(
     [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
     [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -108,17 +107,18 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
     [INFO][abstract_intensifier.py:515] Added config 16c6ab as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config 1d30ce and rejected config 16c6ab as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 1d30ce as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][smbo.py:319] Finished 50 trials.
-    [INFO][abstract_intensifier.py:594] Added config 9d0513 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 87d6f4 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 815e1c and rejected config 87d6f4 as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 9d0513 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 815e1c as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -5.0368266105651855
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.3012995719909668
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 373
-    [INFO][abstract_intensifier.py:594] Added config 5097d0 and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][smbo.py:330] --- Remaining trials: 377
+    [INFO][abstract_intensifier.py:594] Added config f6167b and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 87ec5b and rejected config f6167b as incumbent because it is not better than the incumbents on 1 instances:
     Default cost (Hyperband): 0.36672856700711853
-    Incumbent cost (Hyperband): 0.02225936242649329
+    Incumbent cost (Hyperband): 0.01725007737542561
 
 
 
@@ -297,7 +297,7 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 54.536 seconds)
+   **Total running time of the script:** (2 minutes 58.740 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_1_mlp_epochs.py:
diff --git a/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt b/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
index b1f141d5d..a84a270c6 100644
--- a/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
+++ b/development/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
@@ -67,9 +67,9 @@ the target function now is required to have an instance argument.
     [INFO][smbo.py:319] Finished 400 trials.
     [INFO][smbo.py:319] Finished 450 trials.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.01360011100769043
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.06808114051818848
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 4521
+    [INFO][smbo.py:330] --- Remaining trials: 4529
     Default cost: 0.15489347419148672
     Incumbent cost: 0.006249006102246613
 
@@ -211,7 +211,7 @@ the target function now is required to have an instance argument.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 34.175 seconds)
+   **Total running time of the script:** (0 minutes 34.329 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_2_sgd_datasets.py:
diff --git a/development/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt b/development/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt
index 7b4b86cc3..e36dd63b8 100644
--- a/development/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt
+++ b/development/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt
@@ -209,7 +209,7 @@ in terms of the fidelity units and let SMAC calculate how many trials that would
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.958 seconds)
+   **Total running time of the script:** (0 minutes 8.210 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_3_specify_HB_via_total_budget.py:
diff --git a/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt b/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
index b7c45c4ba..6c445cc1a 100644
--- a/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
+++ b/development/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**03:36.669** total execution time for 3 files **from examples/2_multi_fidelity**:
+**03:41.279** total execution time for 3 files **from examples/2_multi_fidelity**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``1_mlp_epochs.py``)
-     - 02:54.536
+     - 02:58.740
      - 0.0
    * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``2_sgd_datasets.py``)
-     - 00:34.175
+     - 00:34.329
      - 0.0
    * - :ref:`sphx_glr_examples_2_multi_fidelity_3_specify_HB_via_total_budget.py` (``3_specify_HB_via_total_budget.py``)
-     - 00:07.958
+     - 00:08.210
      - 0.0
diff --git a/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt b/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt
index 0436515b5..50f60d9c8 100644
--- a/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt
+++ b/development/_sources/examples/3_multi_objective/1_schaffer.rst.txt
@@ -464,7 +464,7 @@ SMAC prioritizes the second objective over the first one.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.572 seconds)
+   **Total running time of the script:** (0 minutes 8.876 seconds)
 
 
 .. _sphx_glr_download_examples_3_multi_objective_1_schaffer.py:
diff --git a/development/_sources/examples/3_multi_objective/2_parego.rst.txt b/development/_sources/examples/3_multi_objective/2_parego.rst.txt
index dcfbd134c..b2761b860 100644
--- a/development/_sources/examples/3_multi_objective/2_parego.rst.txt
+++ b/development/_sources/examples/3_multi_objective/2_parego.rst.txt
@@ -48,25 +48,26 @@ mean accuracy and run-time of each configuration.
     [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
     [INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
     [INFO][abstract_intensifier.py:594] Added config 3b5efd and rejected config 540db2 as incumbent because it is not better than the incumbents on 2 instances:
-    [INFO][abstract_intensifier.py:602] Config 3dbce7 is a new incumbent. Total number of incumbents: 3.
-    [INFO][abstract_intensifier.py:594] Added config 86457c and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
-    [INFO][abstract_intensifier.py:602] Config b636c9 is a new incumbent. Total number of incumbents: 4.
-    [INFO][abstract_intensifier.py:602] Config e9336a is a new incumbent. Total number of incumbents: 5.
-    [INFO][abstract_intensifier.py:602] Config 257bf2 is a new incumbent. Total number of incumbents: 6.
+    [INFO][abstract_intensifier.py:602] Config 3b05b0 is a new incumbent. Total number of incumbents: 4.
+    [INFO][abstract_intensifier.py:602] Config 76a0b6 is a new incumbent. Total number of incumbents: 5.
+    [INFO][abstract_intensifier.py:594] Added config 14180c and rejected config 0c9159 as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:602] Config 2a16be is a new incumbent. Total number of incumbents: 6.
+    [INFO][abstract_intensifier.py:594] Added config 9040f2 and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:602] Config 733044 is a new incumbent. Total number of incumbents: 6.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.22296595573425293
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.04070615768432617
     [INFO][smbo.py:329] --- Remaining cpu time: inf
     [INFO][smbo.py:330] --- Remaining trials: 156
     Validated costs from default config: 
-    --- [0.60155834 0.15696132]
+    --- [0.60155834 0.16190255]
 
     Validated costs from the Pareto front (incumbents):
-    --- [0.03534045 0.56337726]
-    --- [0.16305014 0.28335488]
-    --- [0.38509904 0.16536093]
-    --- [0.17502786 0.2682035 ]
-    --- [0.45798979 0.16660476]
-    --- [0.08681291 0.29409325]
+    --- [0.03561281 0.63894427]
+    --- [0.03115986 0.69596028]
+    --- [0.03450325 0.64041424]
+    --- [0.12157768 0.27278602]
+    --- [0.5458844  0.21992087]
+    --- [0.377565   0.25858188]
 
 
 
@@ -247,7 +248,7 @@ mean accuracy and run-time of each configuration.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 34.155 seconds)
+   **Total running time of the script:** (0 minutes 35.958 seconds)
 
 
 .. _sphx_glr_download_examples_3_multi_objective_2_parego.py:
diff --git a/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt b/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
index 24e224941..0813d2402 100644
--- a/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
+++ b/development/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:42.727** total execution time for 2 files **from examples/3_multi_objective**:
+**00:44.834** total execution time for 2 files **from examples/3_multi_objective**:
 
 .. container::
 
@@ -33,8 +33,8 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``2_parego.py``)
-     - 00:34.155
+     - 00:35.958
      - 0.0
    * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``1_schaffer.py``)
-     - 00:08.572
+     - 00:08.876
      - 0.0
diff --git a/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt b/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
index b06b27236..1e8400004 100644
--- a/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
+++ b/development/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
@@ -112,7 +112,7 @@ This simple example shows how to call a script with the following content:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 19.417 seconds)
+   **Total running time of the script:** (0 minutes 19.866 seconds)
 
 
 .. _sphx_glr_download_examples_5_commandline_1_call_target_function_script.py:
diff --git a/development/_sources/examples/5_commandline/sg_execution_times.rst.txt b/development/_sources/examples/5_commandline/sg_execution_times.rst.txt
index 99aeabba5..87a3d7311 100644
--- a/development/_sources/examples/5_commandline/sg_execution_times.rst.txt
+++ b/development/_sources/examples/5_commandline/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:19.417** total execution time for 1 file **from examples/5_commandline**:
+**00:19.866** total execution time for 1 file **from examples/5_commandline**:
 
 .. container::
 
@@ -33,5 +33,5 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``1_call_target_function_script.py``)
-     - 00:19.417
+     - 00:19.866
      - 0.0
diff --git a/development/_sources/sg_execution_times.rst.txt b/development/_sources/sg_execution_times.rst.txt
index e0db08935..d3116495d 100644
--- a/development/_sources/sg_execution_times.rst.txt
+++ b/development/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**05:12.425** total execution time for 12 files **from all galleries**:
+**05:19.262** total execution time for 12 files **from all galleries**:
 
 .. container::
 
@@ -33,38 +33,38 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``../examples/2_multi_fidelity/1_mlp_epochs.py``)
-     - 02:54.536
-     - 0.0
-   * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``../examples/2_multi_fidelity/2_sgd_datasets.py``)
-     - 00:34.175
+     - 02:58.740
      - 0.0
    * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``../examples/3_multi_objective/2_parego.py``)
-     - 00:34.155
+     - 00:35.958
+     - 0.0
+   * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``../examples/2_multi_fidelity/2_sgd_datasets.py``)
+     - 00:34.329
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``../examples/1_basics/6_priors.py``)
-     - 00:22.196
+     - 00:21.926
      - 0.0
    * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``../examples/5_commandline/1_call_target_function_script.py``)
-     - 00:19.417
+     - 00:19.866
      - 0.0
    * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``../examples/3_multi_objective/1_schaffer.py``)
-     - 00:08.572
+     - 00:08.876
      - 0.0
    * - :ref:`sphx_glr_examples_2_multi_fidelity_3_specify_HB_via_total_budget.py` (``../examples/2_multi_fidelity/3_specify_HB_via_total_budget.py``)
-     - 00:07.958
+     - 00:08.210
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``../examples/1_basics/1_quadratic_function.py``)
-     - 00:04.234
+     - 00:04.262
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``../examples/1_basics/3_ask_and_tell.py``)
-     - 00:03.931
-     - 0.0
-   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``../examples/1_basics/5_continue.py``)
-     - 00:01.582
+     - 00:03.933
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``../examples/1_basics/2_svm_cv.py``)
-     - 00:01.520
+     - 00:01.514
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``../examples/1_basics/5_continue.py``)
+     - 00:01.503
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``../examples/1_basics/4_callback.py``)
-     - 00:00.149
+     - 00:00.145
      - 0.0
diff --git a/development/examples/1_basics/1_quadratic_function.html b/development/examples/1_basics/1_quadratic_function.html
index 49d4f716b..2329e20ab 100644
--- a/development/examples/1_basics/1_quadratic_function.html
+++ b/development/examples/1_basics/1_quadratic_function.html
@@ -1156,7 +1156,7 @@
     <span class="n">plot</span><span class="p">(</span><span class="n">smac</span><span class="o">.</span><span class="n">runhistory</span><span class="p">,</span> <span class="n">incumbent</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.234 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.262 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-1-quadratic-function-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/1_quadratic_function.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/development/examples/1_basics/2_svm_cv.html b/development/examples/1_basics/2_svm_cv.html
index 50203c382..d74fdef37 100644
--- a/development/examples/1_basics/2_svm_cv.html
+++ b/development/examples/1_basics/2_svm_cv.html
@@ -2328,7 +2328,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.520 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.514 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-2-svm-cv-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/2_svm_cv.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/development/examples/1_basics/3_ask_and_tell.html b/development/examples/1_basics/3_ask_and_tell.html
index 7f460b434..f84949136 100644
--- a/development/examples/1_basics/3_ask_and_tell.html
+++ b/development/examples/1_basics/3_ask_and_tell.html
@@ -1138,7 +1138,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.931 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.933 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-3-ask-and-tell-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/3_ask_and_tell.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/development/examples/1_basics/4_callback.html b/development/examples/1_basics/4_callback.html
index 33c5ef44e..ee5eeb4b8 100644
--- a/development/examples/1_basics/4_callback.html
+++ b/development/examples/1_basics/4_callback.html
@@ -1143,7 +1143,7 @@
     <span class="p">)</span><span class="o">.</span><span class="n">optimize</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.149 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.145 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-4-callback-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/4_callback.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/development/examples/1_basics/5_continue.html b/development/examples/1_basics/5_continue.html
index 8e9aa65c2..19c3345c8 100644
--- a/development/examples/1_basics/5_continue.html
+++ b/development/examples/1_basics/5_continue.html
@@ -1165,7 +1165,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost of continued run: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.582 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.503 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-5-continue-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/5_continue.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/development/examples/1_basics/6_priors.html b/development/examples/1_basics/6_priors.html
index 093799f6f..708a8e1d7 100644
--- a/development/examples/1_basics/6_priors.html
+++ b/development/examples/1_basics/6_priors.html
@@ -1220,7 +1220,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Default cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 22.196 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 21.926 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-6-priors-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/6_priors.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/development/examples/1_basics/sg_execution_times.html b/development/examples/1_basics/sg_execution_times.html
index fef771623..3b7d1634b 100644
--- a/development/examples/1_basics/sg_execution_times.html
+++ b/development/examples/1_basics/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-1-basics-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:33.612</strong> total execution time for 6 files <strong>from examples/1_basics</strong>:</p>
+<p><strong>00:33.283</strong> total execution time for 6 files <strong>from examples/1_basics</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,27 +1051,27 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="6_priors.html#sphx-glr-examples-1-basics-6-priors-py"><span class="std std-ref">User Priors over the Optimum</span></a> (<code class="docutils literal notranslate"><span class="pre">6_priors.py</span></code>)</p></td>
-<td><p>00:22.196</p></td>
+<td><p>00:21.926</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="1_quadratic_function.html#sphx-glr-examples-1-basics-1-quadratic-function-py"><span class="std std-ref">Quadratic Function</span></a> (<code class="docutils literal notranslate"><span class="pre">1_quadratic_function.py</span></code>)</p></td>
-<td><p>00:04.234</p></td>
+<td><p>00:04.262</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="3_ask_and_tell.html#sphx-glr-examples-1-basics-3-ask-and-tell-py"><span class="std std-ref">Ask-and-Tell</span></a> (<code class="docutils literal notranslate"><span class="pre">3_ask_and_tell.py</span></code>)</p></td>
-<td><p>00:03.931</p></td>
+<td><p>00:03.933</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">5_continue.py</span></code>)</p></td>
-<td><p>00:01.582</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">2_svm_cv.py</span></code>)</p></td>
+<td><p>00:01.514</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">2_svm_cv.py</span></code>)</p></td>
-<td><p>00:01.520</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">5_continue.py</span></code>)</p></td>
+<td><p>00:01.503</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="4_callback.html#sphx-glr-examples-1-basics-4-callback-py"><span class="std std-ref">Custom Callback</span></a> (<code class="docutils literal notranslate"><span class="pre">4_callback.py</span></code>)</p></td>
-<td><p>00:00.149</p></td>
+<td><p>00:00.145</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/development/examples/2_multi_fidelity/1_mlp_epochs.html b/development/examples/2_multi_fidelity/1_mlp_epochs.html
index 4d1a29c6c..869705d5d 100644
--- a/development/examples/2_multi_fidelity/1_mlp_epochs.html
+++ b/development/examples/2_multi_fidelity/1_mlp_epochs.html
@@ -1067,24 +1067,23 @@
 [INFO][smbo.py:319] Finished 0 trials.
 [INFO][abstract_intensifier.py:515] Added config 598f3b as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 598f3b as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 91ea8c and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 2b67dd and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 100 trials.
-[INFO][smbo.py:319] Finished 100 trials.
-[INFO][smbo.py:319] Finished 100 trials.
-[INFO][smbo.py:319] Finished 150 trials.
+[INFO][abstract_intensifier.py:594] Added config 59eb1b and rejected config 2b67dd as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 150 trials.
 [INFO][smbo.py:319] Finished 150 trials.
+[INFO][abstract_intensifier.py:594] Added config ac4b99 and rejected config 59eb1b as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.023777008056640625
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.31127119064331055
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 279
+[INFO][smbo.py:330] --- Remaining trials: 298
 Default cost (SuccessiveHalving): 0.36672856700711853
-Incumbent cost (SuccessiveHalving): 0.01892602909315999
+Incumbent cost (SuccessiveHalving): 0.017254719900959392
 [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
 [INFO][abstract_facade.py:203] Workers are reduced to 8.
 /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
 Perhaps you already have a cluster running?
-Hosting the HTTP server on port 44981 instead
+Hosting the HTTP server on port 41439 instead
   warnings.warn(
 [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
 [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -1107,17 +1106,18 @@
 [INFO][abstract_intensifier.py:515] Added config 16c6ab as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 1d30ce and rejected config 16c6ab as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 1d30ce as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][smbo.py:319] Finished 50 trials.
-[INFO][abstract_intensifier.py:594] Added config 9d0513 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 87d6f4 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 815e1c and rejected config 87d6f4 as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 100 trials.
-[INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 9d0513 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 815e1c as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -5.0368266105651855
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.3012995719909668
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 373
-[INFO][abstract_intensifier.py:594] Added config 5097d0 and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][smbo.py:330] --- Remaining trials: 377
+[INFO][abstract_intensifier.py:594] Added config f6167b and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 87ec5b and rejected config f6167b as incumbent because it is not better than the incumbents on 1 instances:
 Default cost (Hyperband): 0.36672856700711853
-Incumbent cost (Hyperband): 0.02225936242649329
+Incumbent cost (Hyperband): 0.01725007737542561
 </pre></div>
 </div>
 <div class="line-block">
@@ -1288,7 +1288,7 @@
     <span class="n">plot_trajectory</span><span class="p">(</span><span class="n">facades</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 54.536 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 58.740 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-2-multi-fidelity-1-mlp-epochs-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/2_multi_fidelity/1_mlp_epochs.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo1.svg" style="width: 150px;" />
diff --git a/development/examples/2_multi_fidelity/2_sgd_datasets.html b/development/examples/2_multi_fidelity/2_sgd_datasets.html
index 81fcd5d2a..1eaf6c274 100644
--- a/development/examples/2_multi_fidelity/2_sgd_datasets.html
+++ b/development/examples/2_multi_fidelity/2_sgd_datasets.html
@@ -1070,9 +1070,9 @@
 [INFO][smbo.py:319] Finished 400 trials.
 [INFO][smbo.py:319] Finished 450 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.01360011100769043
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.06808114051818848
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 4521
+[INFO][smbo.py:330] --- Remaining trials: 4529
 Default cost: 0.15489347419148672
 Incumbent cost: 0.006249006102246613
 </pre></div>
@@ -1206,7 +1206,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.175 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.329 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-2-multi-fidelity-2-sgd-datasets-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/2_multi_fidelity/2_sgd_datasets.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo1.svg" style="width: 150px;" />
diff --git a/development/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html b/development/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html
index 320b24375..df89fd82c 100644
--- a/development/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html
+++ b/development/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html
@@ -1202,7 +1202,7 @@
     <span class="n">plot</span><span class="p">(</span><span class="n">smac</span><span class="o">.</span><span class="n">runhistory</span><span class="p">,</span> <span class="n">incumbent</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.958 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.210 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-2-multi-fidelity-3-specify-hb-via-total-budget-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/2_multi_fidelity/3_specify_HB_via_total_budget.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo1.svg" style="width: 150px;" />
diff --git a/development/examples/2_multi_fidelity/sg_execution_times.html b/development/examples/2_multi_fidelity/sg_execution_times.html
index bf37b0595..943707c04 100644
--- a/development/examples/2_multi_fidelity/sg_execution_times.html
+++ b/development/examples/2_multi_fidelity/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-2-multi-fidelity-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>03:36.669</strong> total execution time for 3 files <strong>from examples/2_multi_fidelity</strong>:</p>
+<p><strong>03:41.279</strong> total execution time for 3 files <strong>from examples/2_multi_fidelity</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,15 +1051,15 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="1_mlp_epochs.html#sphx-glr-examples-2-multi-fidelity-1-mlp-epochs-py"><span class="std std-ref">Multi-Layer Perceptron Using Multiple Epochs</span></a> (<code class="docutils literal notranslate"><span class="pre">1_mlp_epochs.py</span></code>)</p></td>
-<td><p>02:54.536</p></td>
+<td><p>02:58.740</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="2_sgd_datasets.html#sphx-glr-examples-2-multi-fidelity-2-sgd-datasets-py"><span class="std std-ref">Stochastic Gradient Descent On Multiple Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">2_sgd_datasets.py</span></code>)</p></td>
-<td><p>00:34.175</p></td>
+<td><p>00:34.329</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="3_specify_HB_via_total_budget.html#sphx-glr-examples-2-multi-fidelity-3-specify-hb-via-total-budget-py"><span class="std std-ref">Specify Number of Trials via a Total Budget in Hyperband</span></a> (<code class="docutils literal notranslate"><span class="pre">3_specify_HB_via_total_budget.py</span></code>)</p></td>
-<td><p>00:07.958</p></td>
+<td><p>00:08.210</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/development/examples/3_multi_objective/1_schaffer.html b/development/examples/3_multi_objective/1_schaffer.html
index 078f6e111..e111e1305 100644
--- a/development/examples/3_multi_objective/1_schaffer.html
+++ b/development/examples/3_multi_objective/1_schaffer.html
@@ -1456,7 +1456,7 @@
     <span class="n">plot_from_smac</span><span class="p">(</span><span class="n">smac</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.572 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.876 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-3-multi-objective-1-schaffer-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/3_multi_objective/1_schaffer.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo2.svg" style="width: 150px;" />
diff --git a/development/examples/3_multi_objective/2_parego.html b/development/examples/3_multi_objective/2_parego.html
index e924daeba..ecbf06ac7 100644
--- a/development/examples/3_multi_objective/2_parego.html
+++ b/development/examples/3_multi_objective/2_parego.html
@@ -1047,25 +1047,26 @@
 [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
 [INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
 [INFO][abstract_intensifier.py:594] Added config 3b5efd and rejected config 540db2 as incumbent because it is not better than the incumbents on 2 instances:
-[INFO][abstract_intensifier.py:602] Config 3dbce7 is a new incumbent. Total number of incumbents: 3.
-[INFO][abstract_intensifier.py:594] Added config 86457c and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
-[INFO][abstract_intensifier.py:602] Config b636c9 is a new incumbent. Total number of incumbents: 4.
-[INFO][abstract_intensifier.py:602] Config e9336a is a new incumbent. Total number of incumbents: 5.
-[INFO][abstract_intensifier.py:602] Config 257bf2 is a new incumbent. Total number of incumbents: 6.
+[INFO][abstract_intensifier.py:602] Config 3b05b0 is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:602] Config 76a0b6 is a new incumbent. Total number of incumbents: 5.
+[INFO][abstract_intensifier.py:594] Added config 14180c and rejected config 0c9159 as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config 2a16be is a new incumbent. Total number of incumbents: 6.
+[INFO][abstract_intensifier.py:594] Added config 9040f2 and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config 733044 is a new incumbent. Total number of incumbents: 6.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.22296595573425293
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.04070615768432617
 [INFO][smbo.py:329] --- Remaining cpu time: inf
 [INFO][smbo.py:330] --- Remaining trials: 156
 Validated costs from default config:
---- [0.60155834 0.15696132]
+--- [0.60155834 0.16190255]
 
 Validated costs from the Pareto front (incumbents):
---- [0.03534045 0.56337726]
---- [0.16305014 0.28335488]
---- [0.38509904 0.16536093]
---- [0.17502786 0.2682035 ]
---- [0.45798979 0.16660476]
---- [0.08681291 0.29409325]
+--- [0.03561281 0.63894427]
+--- [0.03115986 0.69596028]
+--- [0.03450325 0.64041424]
+--- [0.12157768 0.27278602]
+--- [0.5458844  0.21992087]
+--- [0.377565   0.25858188]
 </pre></div>
 </div>
 <div class="line-block">
@@ -1239,7 +1240,7 @@
     <span class="n">plot_pareto</span><span class="p">(</span><span class="n">smac</span><span class="p">,</span> <span class="n">incumbents</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.155 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 35.958 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-3-multi-objective-2-parego-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/3_multi_objective/2_parego.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo2.svg" style="width: 150px;" />
diff --git a/development/examples/3_multi_objective/sg_execution_times.html b/development/examples/3_multi_objective/sg_execution_times.html
index e6f53be86..28bd9846f 100644
--- a/development/examples/3_multi_objective/sg_execution_times.html
+++ b/development/examples/3_multi_objective/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-3-multi-objective-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:42.727</strong> total execution time for 2 files <strong>from examples/3_multi_objective</strong>:</p>
+<p><strong>00:44.834</strong> total execution time for 2 files <strong>from examples/3_multi_objective</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,11 +1051,11 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="2_parego.html#sphx-glr-examples-3-multi-objective-2-parego-py"><span class="std std-ref">ParEGO</span></a> (<code class="docutils literal notranslate"><span class="pre">2_parego.py</span></code>)</p></td>
-<td><p>00:34.155</p></td>
+<td><p>00:35.958</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="1_schaffer.html#sphx-glr-examples-3-multi-objective-1-schaffer-py"><span class="std std-ref">2D Schaffer Function with Objective Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">1_schaffer.py</span></code>)</p></td>
-<td><p>00:08.572</p></td>
+<td><p>00:08.876</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/development/examples/5_commandline/1_call_target_function_script.html b/development/examples/5_commandline/1_call_target_function_script.html
index b581de355..e8cc61a8b 100644
--- a/development/examples/5_commandline/1_call_target_function_script.html
+++ b/development/examples/5_commandline/1_call_target_function_script.html
@@ -1108,7 +1108,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 19.417 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 19.866 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-5-commandline-1-call-target-function-script-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/5_commandline/1_call_target_function_script.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo3.svg" style="width: 150px;" />
diff --git a/development/examples/5_commandline/sg_execution_times.html b/development/examples/5_commandline/sg_execution_times.html
index bfdfc4e0b..fc3864560 100644
--- a/development/examples/5_commandline/sg_execution_times.html
+++ b/development/examples/5_commandline/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-5-commandline-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:19.417</strong> total execution time for 1 file <strong>from examples/5_commandline</strong>:</p>
+<p><strong>00:19.866</strong> total execution time for 1 file <strong>from examples/5_commandline</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,7 +1051,7 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="1_call_target_function_script.html#sphx-glr-examples-5-commandline-1-call-target-function-script-py"><span class="std std-ref">Call Target Function From Script</span></a> (<code class="docutils literal notranslate"><span class="pre">1_call_target_function_script.py</span></code>)</p></td>
-<td><p>00:19.417</p></td>
+<td><p>00:19.866</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/development/searchindex.js b/development/searchindex.js
index 7d57ea4cf..3f363060c 100644
--- a/development/searchindex.js
+++ b/development/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"2D Schaffer Function with Objective Weights": [[144, null]], "API References": [[5, null]], "Acquisition Function": [[13, "acquisition-function"]], "Acquisition Maximizer": [[13, "acquisition-maximizer"]], "Advanced Usage": [[22, null]], "Anaconda": [[1, "anaconda"]], "Ask-and-Tell": [[133, null]], "Ask-and-Tell Interface": [[17, null]], "Automatically Stopping": [[19, "automatically-stopping"]], "Basics": [[137, null], [151, "basics"]], "Call Target Function From Script": [[148, null]], "Call of the Target Function": [[18, "call-of-the-target-function"]], "Callback": [[13, "callback"]], "Classes": [[25, "classes"], [26, "classes"], [27, "classes"], [28, "classes"], [29, "classes"], [30, "classes"], [31, "classes"], [33, "classes"], [34, "classes"], [35, "classes"], [36, "classes"], [37, "classes"], [38, "classes"], [40, "classes"], [41, "classes"], [43, "classes"], [44, "classes"], [45, "classes"], [46, "classes"], [47, "classes"], [48, "classes"], [49, "classes"], [51, "classes"], [52, "classes"], [53, "classes"], [54, "classes"], [55, "classes"], [56, "classes"], [58, "classes"], [59, "classes"], [61, "classes"], [62, "classes"], [64, "classes"], [65, "classes"], [67, "classes"], [69, "classes"], [70, "classes"], [73, "classes"], [74, "classes"], [75, "classes"], [76, "classes"], [77, "classes"], [78, "classes"], [80, "classes"], [81, "classes"], [82, "classes"], [83, "classes"], [84, "classes"], [85, "classes"], [87, "classes"], [88, "classes"], [89, "classes"], [91, "classes"], [92, "classes"], [93, "classes"], [95, "classes"], [96, "classes"], [97, "classes"], [98, "classes"], [100, "classes"], [102, "classes"], [104, "classes"], [105, "classes"], [106, "classes"], [107, "classes"], [108, "classes"], [109, "classes"], [110, "classes"], [111, "classes"], [113, "classes"], [115, "classes"], [116, "classes"], [117, "classes"], [119, "classes"], [120, "classes"], [121, "classes"]], "Command-Line Interface": [[18, null], [149, null], [151, "command-line-interface"]], "Comparison": [[2, "comparison"]], "Components": [[13, null]], "Computation times": [[138, null], [143, null], [147, null], [150, null], [152, null], [155, null]], "Conda-forge": [[1, "conda-forge"]], "Configuration Selector": [[13, "configuration-selector"]], "Configuration Space": [[3, "configuration-space"]], "Contact": [[154, "contact"]], "Continue": [[10, null]], "Continue an Optimization": [[135, null]], "Custom Callback": [[134, null]], "Custom File": [[20, "custom-file"]], "Examples": [[151, null]], "Exceptions": [[112, "exceptions"], [118, "exceptions"]], "Experimental": [[0, null]], "F.A.Q.": [[8, null]], "Facade": [[3, "facade"]], "Features": [[2, "features"]], "Functions": [[60, "functions"], [123, "functions"], [124, "functions"], [125, "functions"], [126, "functions"], [127, "functions"]], "Getting Started": [[3, null]], "Glossary": [[7, null]], "Home": [[154, null]], "Initial Design": [[13, "initial-design"]], "Installation": [[1, null]], "Installation in Windows via WSL": [[0, "installation-in-windows-via-wsl"]], "Intensifier": [[13, "intensifier"]], "Interfaces": [[23, "interfaces"], [24, "interfaces"], [25, "interfaces"], [26, "interfaces"], [27, "interfaces"], [28, "interfaces"], [29, "interfaces"], [30, "interfaces"], [31, "interfaces"], [32, "interfaces"], [33, "interfaces"], [34, "interfaces"], [35, "interfaces"], [36, "interfaces"], [37, "interfaces"], [38, "interfaces"], [39, "interfaces"], [40, "interfaces"], [41, "interfaces"], [42, "interfaces"], [43, "interfaces"], [44, "interfaces"], [45, "interfaces"], [46, "interfaces"], [47, "interfaces"], [48, "interfaces"], [49, "interfaces"], [50, "interfaces"], [51, "interfaces"], [52, "interfaces"], [53, "interfaces"], [54, "interfaces"], [55, "interfaces"], [56, "interfaces"], [57, "interfaces"], [58, "interfaces"], [59, "interfaces"], [60, "interfaces"], [61, "interfaces"], [62, "interfaces"], [63, "interfaces"], [64, "interfaces"], [65, "interfaces"], [66, "interfaces"], [67, "interfaces"], [68, "interfaces"], [69, "interfaces"], [70, "interfaces"], [71, "interfaces"], [72, "interfaces"], [73, "interfaces"], [74, "interfaces"], [75, "interfaces"], [76, "interfaces"], [77, "interfaces"], [78, "interfaces"], [79, "interfaces"], [80, "interfaces"], [81, "interfaces"], [82, "interfaces"], [83, "interfaces"], [84, "interfaces"], [85, "interfaces"], [86, "interfaces"], [87, "interfaces"], [88, "interfaces"], [89, "interfaces"], [90, "interfaces"], [91, "interfaces"], [92, "interfaces"], [93, "interfaces"], [94, "interfaces"], [95, "interfaces"], [96, "interfaces"], [97, "interfaces"], [98, "interfaces"], [99, "interfaces"], [100, "interfaces"], [101, "interfaces"], [102, "interfaces"], [103, "interfaces"], [104, "interfaces"], [105, "interfaces"], [106, "interfaces"], [107, "interfaces"], [108, "interfaces"], [109, "interfaces"], [110, "interfaces"], [111, "interfaces"], [112, "interfaces"], [113, "interfaces"], [114, "interfaces"], [115, "interfaces"], [116, "interfaces"], [117, "interfaces"], [118, "interfaces"], [119, "interfaces"], [120, "interfaces"], [121, "interfaces"], [122, "interfaces"], [123, "interfaces"], [124, "interfaces"], [125, "interfaces"], [126, "interfaces"], [127, "interfaces"], [128, "interfaces"], [129, "interfaces"], [130, "interfaces"]], "Level": [[20, "level"]], "License": [[9, null]], "Logging": [[20, null]], "Minimal Example": [[4, null]], "Modules": [[23, "modules"], [24, "modules"], [32, "modules"], [39, "modules"], [42, "modules"], [50, "modules"], [57, "modules"], [63, "modules"], [66, "modules"], [68, "modules"], [72, "modules"], [79, "modules"], [86, "modules"], [90, "modules"], [94, "modules"], [99, "modules"], [101, "modules"], [114, "modules"], [122, "modules"], [128, "modules"]], "Multi-Fidelity Optimization": [[14, null]], "Multi-Fidelity and Multi-Instances": [[142, null], [151, "multi-fidelity-and-multi-instances"]], "Multi-Layer Perceptron Using Multiple Epochs": [[139, null]], "Multi-Objective": [[146, null], [151, "multi-objective"]], "Multi-Objective Algorithm": [[13, "multi-objective-algorithm"]], "Multi-Objective Optimization": [[15, null]], "Navigation": [[22, "navigation"]], "Optimization across Instances": [[16, null]], "Optimizations": [[12, null]], "Overview Figure": [[153, null]], "Package Overview": [[2, null]], "ParEGO": [[145, null]], "Parallelism": [[21, null]], "Quadratic Function": [[131, null]], "Random Design": [[13, "random-design"]], "References": [[6, null]], "Reproducibility": [[11, null]], "Requirements": [[1, "requirements"]], "Return of the Target Function": [[18, "return-of-the-target-function"]], "RunHistory": [[13, "runhistory"]], "RunHistory Encoder": [[13, "runhistory-encoder"]], "Running on a Cluster": [[21, "running-on-a-cluster"]], "Scenario": [[3, "scenario"]], "Specify Number of Trials via a Total Budget in Hyperband": [[141, null]], "Start the Optimization": [[18, "start-the-optimization"]], "Stochastic Gradient Descent On Multiple Datasets": [[140, null]], "Stopping Criteria": [[19, null]], "Support Vector Machine with Cross-Validation": [[132, null]], "Surrogate Model": [[13, "surrogate-model"]], "Target Function": [[3, "target-function"]], "Termination Cost Threshold": [[19, "termination-cost-threshold"]], "User Priors over the Optimum": [[136, null]], "Windows via WSL (Experimental)": [[1, "windows-via-wsl-experimental"]], "smac.acquisition": [[23, null]], "smac.acquisition.function": [[24, null]], "smac.acquisition.function.abstract_acquisition_function": [[25, null]], "smac.acquisition.function.confidence_bound": [[26, null]], "smac.acquisition.function.expected_improvement": [[27, null]], "smac.acquisition.function.integrated_acquisition_function": [[28, null]], "smac.acquisition.function.prior_acqusition_function": [[29, null]], "smac.acquisition.function.probability_improvement": [[30, null]], "smac.acquisition.function.thompson": [[31, null]], "smac.acquisition.maximizer": [[32, null]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, null]], "smac.acquisition.maximizer.differential_evolution": [[34, null]], "smac.acquisition.maximizer.helpers": [[35, null]], "smac.acquisition.maximizer.local_and_random_search": [[36, null]], "smac.acquisition.maximizer.local_search": [[37, null]], "smac.acquisition.maximizer.random_search": [[38, null]], "smac.callback": [[39, null]], "smac.callback.callback": [[40, null]], "smac.callback.metadata_callback": [[41, null]], "smac.facade": [[42, null]], "smac.facade.abstract_facade": [[43, null]], "smac.facade.algorithm_configuration_facade": [[44, null]], "smac.facade.blackbox_facade": [[45, null]], "smac.facade.hyperband_facade": [[46, null]], "smac.facade.hyperparameter_optimization_facade": [[47, null]], "smac.facade.multi_fidelity_facade": [[48, null]], "smac.facade.random_facade": [[49, null]], "smac.initial_design": [[50, null]], "smac.initial_design.abstract_initial_design": [[51, null]], "smac.initial_design.default_design": [[52, null]], "smac.initial_design.factorial_design": [[53, null]], "smac.initial_design.latin_hypercube_design": [[54, null]], "smac.initial_design.random_design": [[55, null]], "smac.initial_design.sobol_design": [[56, null]], "smac.intensifier": [[57, null]], "smac.intensifier.abstract_intensifier": [[58, null]], "smac.intensifier.hyperband": [[59, null]], "smac.intensifier.hyperband_utils": [[60, null]], "smac.intensifier.intensifier": [[61, null]], "smac.intensifier.successive_halving": [[62, null]], "smac.main": [[63, null]], "smac.main.config_selector": [[64, null]], "smac.main.smbo": [[65, null]], "smac.model": [[66, null]], "smac.model.abstract_model": [[67, null]], "smac.model.gaussian_process": [[68, null]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, null]], "smac.model.gaussian_process.gaussian_process": [[70, null]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, null]], "smac.model.gaussian_process.kernels": [[72, null]], "smac.model.gaussian_process.kernels.base_kernels": [[73, null]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, null]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, null]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, null]], "smac.model.gaussian_process.kernels.white_kernel": [[77, null]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, null]], "smac.model.gaussian_process.priors": [[79, null]], "smac.model.gaussian_process.priors.abstract_prior": [[80, null]], "smac.model.gaussian_process.priors.gamma_prior": [[81, null]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, null]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, null]], "smac.model.gaussian_process.priors.tophat_prior": [[84, null]], "smac.model.multi_objective_model": [[85, null]], "smac.model.random_forest": [[86, null]], "smac.model.random_forest.abstract_random_forest": [[87, null]], "smac.model.random_forest.random_forest": [[88, null]], "smac.model.random_model": [[89, null]], "smac.multi_objective": [[90, null]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, null]], "smac.multi_objective.aggregation_strategy": [[92, null]], "smac.multi_objective.parego": [[93, null]], "smac.random_design": [[94, null]], "smac.random_design.abstract_random_design": [[95, null]], "smac.random_design.annealing_design": [[96, null]], "smac.random_design.modulus_design": [[97, null]], "smac.random_design.probability_design": [[98, null]], "smac.runhistory": [[99, null]], "smac.runhistory.dataclasses": [[100, null]], "smac.runhistory.encoder": [[101, null]], "smac.runhistory.encoder.abstract_encoder": [[102, null]], "smac.runhistory.encoder.boing_encoder": [[103, null]], "smac.runhistory.encoder.eips_encoder": [[104, null]], "smac.runhistory.encoder.encoder": [[105, null]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, null]], "smac.runhistory.encoder.log_encoder": [[107, null]], "smac.runhistory.encoder.log_scaled_encoder": [[108, null]], "smac.runhistory.encoder.scaled_encoder": [[109, null]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, null]], "smac.runhistory.enumerations": [[111, null]], "smac.runhistory.errors": [[112, null]], "smac.runhistory.runhistory": [[113, null]], "smac.runner": [[114, null]], "smac.runner.abstract_runner": [[115, null]], "smac.runner.abstract_serial_runner": [[116, null]], "smac.runner.dask_runner": [[117, null]], "smac.runner.exceptions": [[118, null]], "smac.runner.target_function_runner": [[119, null]], "smac.runner.target_function_script_runner": [[120, null]], "smac.scenario": [[121, null]], "smac.utils": [[122, null]], "smac.utils.configspace": [[123, null]], "smac.utils.data_structures": [[124, null]], "smac.utils.logging": [[125, null]], "smac.utils.multi_objective": [[126, null]], "smac.utils.pareto_front": [[127, null]], "smac.utils.subspaces": [[128, null]], "smac.utils.subspaces.boing_subspace": [[129, null]], "smac.utils.subspaces.turbo_subspace": [[130, null]]}, "docnames": ["10_experimental", "1_installation", "2_package_overview", "3_getting_started", "4_minimal_example", "5_api", "6_references", "7_glossary", "8_faq", "9_license", "advanced_usage/10_continue", "advanced_usage/11_reproducibility", "advanced_usage/12_optimizations", "advanced_usage/1_components", "advanced_usage/2_multi_fidelity", "advanced_usage/3_multi_objective", "advanced_usage/4_instances", "advanced_usage/5_ask_and_tell", "advanced_usage/6_commandline", "advanced_usage/7_stopping_criteria", "advanced_usage/8_logging", "advanced_usage/9_parallelism", "advanced_usage/index", "api/smac.acquisition", "api/smac.acquisition.function", "api/smac.acquisition.function.abstract_acquisition_function", "api/smac.acquisition.function.confidence_bound", "api/smac.acquisition.function.expected_improvement", "api/smac.acquisition.function.integrated_acquisition_function", "api/smac.acquisition.function.prior_acqusition_function", "api/smac.acquisition.function.probability_improvement", "api/smac.acquisition.function.thompson", "api/smac.acquisition.maximizer", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer", "api/smac.acquisition.maximizer.differential_evolution", "api/smac.acquisition.maximizer.helpers", "api/smac.acquisition.maximizer.local_and_random_search", "api/smac.acquisition.maximizer.local_search", "api/smac.acquisition.maximizer.random_search", "api/smac.callback", "api/smac.callback.callback", "api/smac.callback.metadata_callback", "api/smac.facade", "api/smac.facade.abstract_facade", "api/smac.facade.algorithm_configuration_facade", "api/smac.facade.blackbox_facade", "api/smac.facade.hyperband_facade", "api/smac.facade.hyperparameter_optimization_facade", "api/smac.facade.multi_fidelity_facade", "api/smac.facade.random_facade", "api/smac.initial_design", "api/smac.initial_design.abstract_initial_design", "api/smac.initial_design.default_design", "api/smac.initial_design.factorial_design", "api/smac.initial_design.latin_hypercube_design", "api/smac.initial_design.random_design", "api/smac.initial_design.sobol_design", "api/smac.intensifier", "api/smac.intensifier.abstract_intensifier", "api/smac.intensifier.hyperband", "api/smac.intensifier.hyperband_utils", "api/smac.intensifier.intensifier", "api/smac.intensifier.successive_halving", "api/smac.main", "api/smac.main.config_selector", "api/smac.main.smbo", "api/smac.model", "api/smac.model.abstract_model", "api/smac.model.gaussian_process", "api/smac.model.gaussian_process.abstract_gaussian_process", "api/smac.model.gaussian_process.gaussian_process", "api/smac.model.gaussian_process.gpytorch_gaussian_process", "api/smac.model.gaussian_process.kernels", "api/smac.model.gaussian_process.kernels.base_kernels", "api/smac.model.gaussian_process.kernels.hamming_kernel", "api/smac.model.gaussian_process.kernels.matern_kernel", "api/smac.model.gaussian_process.kernels.rbf_kernel", "api/smac.model.gaussian_process.kernels.white_kernel", "api/smac.model.gaussian_process.mcmc_gaussian_process", "api/smac.model.gaussian_process.priors", "api/smac.model.gaussian_process.priors.abstract_prior", "api/smac.model.gaussian_process.priors.gamma_prior", "api/smac.model.gaussian_process.priors.horseshoe_prior", "api/smac.model.gaussian_process.priors.log_normal_prior", "api/smac.model.gaussian_process.priors.tophat_prior", "api/smac.model.multi_objective_model", "api/smac.model.random_forest", "api/smac.model.random_forest.abstract_random_forest", "api/smac.model.random_forest.random_forest", "api/smac.model.random_model", "api/smac.multi_objective", "api/smac.multi_objective.abstract_multi_objective_algorithm", "api/smac.multi_objective.aggregation_strategy", "api/smac.multi_objective.parego", "api/smac.random_design", "api/smac.random_design.abstract_random_design", "api/smac.random_design.annealing_design", "api/smac.random_design.modulus_design", "api/smac.random_design.probability_design", "api/smac.runhistory", "api/smac.runhistory.dataclasses", "api/smac.runhistory.encoder", "api/smac.runhistory.encoder.abstract_encoder", "api/smac.runhistory.encoder.boing_encoder", "api/smac.runhistory.encoder.eips_encoder", "api/smac.runhistory.encoder.encoder", "api/smac.runhistory.encoder.inverse_scaled_encoder", "api/smac.runhistory.encoder.log_encoder", "api/smac.runhistory.encoder.log_scaled_encoder", "api/smac.runhistory.encoder.scaled_encoder", "api/smac.runhistory.encoder.sqrt_scaled_encoder", "api/smac.runhistory.enumerations", "api/smac.runhistory.errors", "api/smac.runhistory.runhistory", "api/smac.runner", "api/smac.runner.abstract_runner", "api/smac.runner.abstract_serial_runner", "api/smac.runner.dask_runner", "api/smac.runner.exceptions", "api/smac.runner.target_function_runner", "api/smac.runner.target_function_script_runner", "api/smac.scenario", "api/smac.utils", "api/smac.utils.configspace", "api/smac.utils.data_structures", "api/smac.utils.logging", "api/smac.utils.multi_objective", "api/smac.utils.pareto_front", "api/smac.utils.subspaces", "api/smac.utils.subspaces.boing_subspace", "api/smac.utils.subspaces.turbo_subspace", "examples/1_basics/1_quadratic_function", "examples/1_basics/2_svm_cv", "examples/1_basics/3_ask_and_tell", "examples/1_basics/4_callback", "examples/1_basics/5_continue", "examples/1_basics/6_priors", "examples/1_basics/index", "examples/1_basics/sg_execution_times", "examples/2_multi_fidelity/1_mlp_epochs", "examples/2_multi_fidelity/2_sgd_datasets", "examples/2_multi_fidelity/3_specify_HB_via_total_budget", "examples/2_multi_fidelity/index", "examples/2_multi_fidelity/sg_execution_times", "examples/3_multi_objective/1_schaffer", "examples/3_multi_objective/2_parego", "examples/3_multi_objective/index", "examples/3_multi_objective/sg_execution_times", "examples/5_commandline/1_call_target_function_script", "examples/5_commandline/index", "examples/5_commandline/sg_execution_times", "examples/index", "examples/sg_execution_times", "images/README", "index", "sg_execution_times"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1}, "filenames": ["10_experimental.rst", "1_installation.rst", "2_package_overview.rst", "3_getting_started.rst", "4_minimal_example.rst", "5_api.rst", "6_references.rst", "7_glossary.rst", "8_faq.rst", "9_license.rst", "advanced_usage/10_continue.rst", "advanced_usage/11_reproducibility.rst", "advanced_usage/12_optimizations.rst", "advanced_usage/1_components.rst", "advanced_usage/2_multi_fidelity.rst", "advanced_usage/3_multi_objective.rst", "advanced_usage/4_instances.rst", "advanced_usage/5_ask_and_tell.rst", "advanced_usage/6_commandline.rst", "advanced_usage/7_stopping_criteria.rst", "advanced_usage/8_logging.rst", "advanced_usage/9_parallelism.rst", "advanced_usage/index.rst", "api/smac.acquisition.rst", "api/smac.acquisition.function.rst", "api/smac.acquisition.function.abstract_acquisition_function.rst", "api/smac.acquisition.function.confidence_bound.rst", "api/smac.acquisition.function.expected_improvement.rst", "api/smac.acquisition.function.integrated_acquisition_function.rst", "api/smac.acquisition.function.prior_acqusition_function.rst", "api/smac.acquisition.function.probability_improvement.rst", "api/smac.acquisition.function.thompson.rst", "api/smac.acquisition.maximizer.rst", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer.rst", "api/smac.acquisition.maximizer.differential_evolution.rst", "api/smac.acquisition.maximizer.helpers.rst", "api/smac.acquisition.maximizer.local_and_random_search.rst", "api/smac.acquisition.maximizer.local_search.rst", "api/smac.acquisition.maximizer.random_search.rst", "api/smac.callback.rst", "api/smac.callback.callback.rst", "api/smac.callback.metadata_callback.rst", "api/smac.facade.rst", "api/smac.facade.abstract_facade.rst", "api/smac.facade.algorithm_configuration_facade.rst", "api/smac.facade.blackbox_facade.rst", "api/smac.facade.hyperband_facade.rst", "api/smac.facade.hyperparameter_optimization_facade.rst", "api/smac.facade.multi_fidelity_facade.rst", "api/smac.facade.random_facade.rst", "api/smac.initial_design.rst", "api/smac.initial_design.abstract_initial_design.rst", "api/smac.initial_design.default_design.rst", "api/smac.initial_design.factorial_design.rst", "api/smac.initial_design.latin_hypercube_design.rst", "api/smac.initial_design.random_design.rst", "api/smac.initial_design.sobol_design.rst", "api/smac.intensifier.rst", "api/smac.intensifier.abstract_intensifier.rst", "api/smac.intensifier.hyperband.rst", "api/smac.intensifier.hyperband_utils.rst", "api/smac.intensifier.intensifier.rst", "api/smac.intensifier.successive_halving.rst", "api/smac.main.rst", "api/smac.main.config_selector.rst", "api/smac.main.smbo.rst", "api/smac.model.rst", "api/smac.model.abstract_model.rst", "api/smac.model.gaussian_process.rst", "api/smac.model.gaussian_process.abstract_gaussian_process.rst", "api/smac.model.gaussian_process.gaussian_process.rst", "api/smac.model.gaussian_process.gpytorch_gaussian_process.rst", "api/smac.model.gaussian_process.kernels.rst", "api/smac.model.gaussian_process.kernels.base_kernels.rst", "api/smac.model.gaussian_process.kernels.hamming_kernel.rst", "api/smac.model.gaussian_process.kernels.matern_kernel.rst", "api/smac.model.gaussian_process.kernels.rbf_kernel.rst", "api/smac.model.gaussian_process.kernels.white_kernel.rst", "api/smac.model.gaussian_process.mcmc_gaussian_process.rst", "api/smac.model.gaussian_process.priors.rst", "api/smac.model.gaussian_process.priors.abstract_prior.rst", "api/smac.model.gaussian_process.priors.gamma_prior.rst", "api/smac.model.gaussian_process.priors.horseshoe_prior.rst", "api/smac.model.gaussian_process.priors.log_normal_prior.rst", "api/smac.model.gaussian_process.priors.tophat_prior.rst", "api/smac.model.multi_objective_model.rst", "api/smac.model.random_forest.rst", "api/smac.model.random_forest.abstract_random_forest.rst", "api/smac.model.random_forest.random_forest.rst", "api/smac.model.random_model.rst", "api/smac.multi_objective.rst", "api/smac.multi_objective.abstract_multi_objective_algorithm.rst", "api/smac.multi_objective.aggregation_strategy.rst", "api/smac.multi_objective.parego.rst", "api/smac.random_design.rst", "api/smac.random_design.abstract_random_design.rst", "api/smac.random_design.annealing_design.rst", "api/smac.random_design.modulus_design.rst", "api/smac.random_design.probability_design.rst", "api/smac.runhistory.rst", "api/smac.runhistory.dataclasses.rst", "api/smac.runhistory.encoder.rst", "api/smac.runhistory.encoder.abstract_encoder.rst", "api/smac.runhistory.encoder.boing_encoder.rst", "api/smac.runhistory.encoder.eips_encoder.rst", "api/smac.runhistory.encoder.encoder.rst", "api/smac.runhistory.encoder.inverse_scaled_encoder.rst", "api/smac.runhistory.encoder.log_encoder.rst", "api/smac.runhistory.encoder.log_scaled_encoder.rst", "api/smac.runhistory.encoder.scaled_encoder.rst", "api/smac.runhistory.encoder.sqrt_scaled_encoder.rst", "api/smac.runhistory.enumerations.rst", "api/smac.runhistory.errors.rst", "api/smac.runhistory.runhistory.rst", "api/smac.runner.rst", "api/smac.runner.abstract_runner.rst", "api/smac.runner.abstract_serial_runner.rst", "api/smac.runner.dask_runner.rst", "api/smac.runner.exceptions.rst", "api/smac.runner.target_function_runner.rst", "api/smac.runner.target_function_script_runner.rst", "api/smac.scenario.rst", "api/smac.utils.rst", "api/smac.utils.configspace.rst", "api/smac.utils.data_structures.rst", "api/smac.utils.logging.rst", "api/smac.utils.multi_objective.rst", "api/smac.utils.pareto_front.rst", "api/smac.utils.subspaces.rst", "api/smac.utils.subspaces.boing_subspace.rst", "api/smac.utils.subspaces.turbo_subspace.rst", "examples/1_basics/1_quadratic_function.rst", "examples/1_basics/2_svm_cv.rst", "examples/1_basics/3_ask_and_tell.rst", "examples/1_basics/4_callback.rst", "examples/1_basics/5_continue.rst", "examples/1_basics/6_priors.rst", "examples/1_basics/index.rst", "examples/1_basics/sg_execution_times.rst", "examples/2_multi_fidelity/1_mlp_epochs.rst", "examples/2_multi_fidelity/2_sgd_datasets.rst", "examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst", "examples/2_multi_fidelity/index.rst", "examples/2_multi_fidelity/sg_execution_times.rst", "examples/3_multi_objective/1_schaffer.rst", "examples/3_multi_objective/2_parego.rst", "examples/3_multi_objective/index.rst", "examples/3_multi_objective/sg_execution_times.rst", "examples/5_commandline/1_call_target_function_script.rst", "examples/5_commandline/index.rst", "examples/5_commandline/sg_execution_times.rst", "examples/index.rst", "examples/sg_execution_times.rst", "images/README.md", "index.rst", "sg_execution_times.rst"], "indexentries": {"__call__() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.constantkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.productkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.sumkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.constantkernel method)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.productkernel method)": [[72, "smac.model.gaussian_process.kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.sumkernel method)": [[72, "smac.model.gaussian_process.kernels.SumKernel.__call__", false]], "__call__() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.aggregation_strategy.meanaggregationstrategy method)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.meanaggregationstrategy method)": [[90, "smac.multi_objective.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.__call__", false]], "__call__() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.__call__", false]], "__call__() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.__call__", false]], "__call__() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.__call__", false]], "__call__() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.__call__", false]], "__contains__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__contains__", false]], "__contains__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__contains__", false]], "__del__() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.__del__", false]], "__del__() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.__del__", false]], "__eq__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__eq__", false]], "__eq__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__eq__", false]], "__getitem__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__getitem__", false]], "__getitem__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__getitem__", false]], "__iter__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.main.config_selector.configselector method)": [[64, "smac.main.config_selector.ConfigSelector.__iter__", false]], "__iter__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__iter__", false]], "__iter__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__iter__", false]], "__len__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__len__", false]], "__len__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__len__", false]], "__post_init__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.__post_init__", false]], "_acquisition_function (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._acquisition_function", false]], "_acquisition_function (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._acquisition_function", false]], "_beta (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._beta", false]], "_beta (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._beta", false]], "_eta (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._eta", false]], "_eta (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._eta", false]], "_eta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._eta", false]], "_eta (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._eta", false]], "_functions (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._functions", false]], "_functions (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._functions", false]], "_log (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._log", false]], "_log (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._log", false]], "_num_data (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._num_data", false]], "_num_data (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._num_data", false]], "_xi (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._xi", false]], "_xi (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._xi", false]], "abstractacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction", false]], "abstractacquisitionfunction (class in smac.acquisition.function.abstract_acquisition_function)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer.abstract_acqusition_maximizer)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer", false]], "abstractfacade (class in smac.facade)": [[42, "smac.facade.AbstractFacade", false]], "abstractfacade (class in smac.facade.abstract_facade)": [[43, "smac.facade.abstract_facade.AbstractFacade", false]], "abstractgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess", false]], "abstractgaussianprocess (class in smac.model.gaussian_process.abstract_gaussian_process)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess", false]], "abstractinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.AbstractInitialDesign", false]], "abstractinitialdesign (class in smac.initial_design.abstract_initial_design)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign", false]], "abstractintensifier (class in smac.intensifier)": [[57, "smac.intensifier.AbstractIntensifier", false]], "abstractintensifier (class in smac.intensifier.abstract_intensifier)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier", false]], "abstractkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel", false]], "abstractkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel", false]], "abstractmodel (class in smac.model)": [[66, "smac.model.AbstractModel", false]], "abstractmodel (class in smac.model.abstract_model)": [[67, "smac.model.abstract_model.AbstractModel", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective.abstract_multi_objective_algorithm)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm", false]], "abstractprior (class in smac.model.gaussian_process.priors.abstract_prior)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior", false]], "abstractrandomdesign (class in smac.random_design)": [[94, "smac.random_design.AbstractRandomDesign", false]], "abstractrandomdesign (class in smac.random_design.abstract_random_design)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign", false]], "abstractrandomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.AbstractRandomForest", false]], "abstractrandomforest (class in smac.model.random_forest.abstract_random_forest)": [[87, "smac.model.random_forest.abstract_random_forest.AbstractRandomForest", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder.abstract_encoder)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder", false]], "abstractrunner (class in smac.runner)": [[114, "smac.runner.AbstractRunner", false]], "abstractrunner (class in smac.runner.abstract_runner)": [[115, "smac.runner.abstract_runner.AbstractRunner", false]], "abstractserialrunner (class in smac.runner.abstract_serial_runner)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner", false]], "acquisition_function (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.acquisition_function", false]], "add() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add", false]], "add() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add", false]], "add_running_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_running_trial", false]], "add_running_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_running_trial", false]], "add_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_trial", false]], "add_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_trial", false]], "algorithmconfigurationfacade (class in smac.facade)": [[42, "smac.facade.AlgorithmConfigurationFacade", false]], "algorithmconfigurationfacade (class in smac.facade.algorithm_configuration_facade)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade", false]], "ask() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.ask", false]], "ask() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.ask", false]], "ask() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.ask", false]], "average_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.average_cost", false]], "average_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.average_cost", false]], "batch() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.batch", false]], "bayesian optimization": [[7, "term-Bayesian-Optimization", true]], "bb": [[7, "term-BB", true]], "black-box": [[7, "term-Black-Box", true]], "blackboxfacade (class in smac.facade)": [[42, "smac.facade.BlackBoxFacade", false]], "blackboxfacade (class in smac.facade.blackbox_facade)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade", false]], "bo": [[7, "term-BO", true]], "bohb": [[7, "term-BOHB", true]], "budget": [[7, "term-Budget", true]], "budget_exhausted (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.budget_exhausted", false]], "calculate_pareto_front() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.calculate_pareto_front", false]], "callback (class in smac.callback)": [[39, "smac.callback.Callback", false]], "callback (class in smac.callback.callback)": [[40, "smac.callback.callback.Callback", false]], "challengerlist (class in smac.acquisition.maximizer.helpers)": [[35, "smac.acquisition.maximizer.helpers.ChallengerList", false]], "check() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.modulus_design.modulusrandomdesign method)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.modulusrandomdesign method)": [[94, "smac.random_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.probability_design.probabilityrandomdesign method)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.check", false]], "check() (smac.random_design.probabilityrandomdesign method)": [[94, "smac.random_design.ProbabilityRandomDesign.check", false]], "cli": [[7, "term-CLI", true]], "close() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.close", false]], "close() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.close", false]], "config_generator (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_generator", false]], "config_generator (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_generator", false]], "config_ids (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.config_ids", false]], "config_ids (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.config_ids", false]], "config_selector (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_selector", false]], "config_selector (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_selector", false]], "configselector (class in smac.main.config_selector)": [[64, "smac.main.config_selector.ConfigSelector", false]], "constantkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel", false]], "constantkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel", false]], "convert_configurations_to_array() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.convert_configurations_to_array", false]], "cosineannealingrandomdesign (class in smac.random_design)": [[94, "smac.random_design.CosineAnnealingRandomDesign", false]], "cosineannealingrandomdesign (class in smac.random_design.annealing_design)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign", false]], "count_available_workers() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.count_available_workers", false]], "count_available_workers() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.count_available_workers", false]], "count_instance_features() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_instance_features", false]], "count_objectives() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_objectives", false]], "cv": [[7, "term-CV", true]], "daskparallelrunner (class in smac.runner)": [[114, "smac.runner.DaskParallelRunner", false]], "daskparallelrunner (class in smac.runner.dask_runner)": [[117, "smac.runner.dask_runner.DaskParallelRunner", false]], "defaultinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.DefaultInitialDesign", false]], "defaultinitialdesign (class in smac.initial_design.default_design)": [[52, "smac.initial_design.default_design.DefaultInitialDesign", false]], "determine_hb() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_HB", false]], "determine_hyperband_for_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_hyperband_for_multifidelity", false]], "differentialevolution (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.DifferentialEvolution", false]], "differentialevolution (class in smac.acquisition.maximizer.differential_evolution)": [[34, "smac.acquisition.maximizer.differential_evolution.DifferentialEvolution", false]], "dynamicmodulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicModulusRandomDesign", false]], "dynamicmodulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicProbabilityRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign", false]], "ei (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EI", false]], "ei (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EI", false]], "eips (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EIPS", false]], "eips (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EIPS", false]], "empty() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.empty", false]], "empty() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.empty", false]], "exists() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.exists", false]], "factorialinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.FactorialInitialDesign", false]], "factorialinitialdesign (class in smac.initial_design.factorial_design)": [[53, "smac.initial_design.factorial_design.FactorialInitialDesign", false]], "finished (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.finished", false]], "finished (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.finished", false]], "firstruncrashedexception": [[114, "smac.runner.FirstRunCrashedException", false], [118, "smac.runner.exceptions.FirstRunCrashedException", false]], "gammaprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.GammaPrior", false]], "gammaprior (class in smac.model.gaussian_process.priors.gamma_prior)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior", false]], "gaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.GaussianProcess", false]], "gaussianprocess (class in smac.model.gaussian_process.gaussian_process)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess", false]], "get_acquisition_function() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_maximizer() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_maximizer", false]], "get_callback() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_callback", false]], "get_callback() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_callback", false]], "get_conditional_hyperparameters() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_conditional_hyperparameters", false]], "get_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config", false]], "get_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config", false]], "get_config_hash() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_config_hash", false]], "get_config_id() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config_id", false]], "get_config_id() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config_id", false]], "get_config_selector() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_config_selector", false]], "get_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs", false]], "get_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs", false]], "get_configs_per_budget() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs_per_budget", false]], "get_configs_per_budget() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs_per_budget", false]], "get_configurations() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_configurations() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_cost", false]], "get_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_cost", false]], "get_gradient() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.tophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophatprior method)": [[79, "smac.model.gaussian_process.priors.TophatPrior.get_gradient", false]], "get_incumbent() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbents", false]], "get_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbents", false]], "get_initial_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_initial_design", false]], "get_initial_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_initial_design", false]], "get_instance_seed_budget_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.instanceseedbudgetkey method)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.instanceseedbudgetkey method)": [[99, "smac.runhistory.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_intensifier() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperband_facade.hyperbandfacade static method)": [[46, "smac.facade.hyperband_facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperbandfacade static method)": [[42, "smac.facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_intensifier", false]], "get_intensifier() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_intensifier", false]], "get_kernel() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_kernel", false]], "get_kernel() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_kernel", false]], "get_log_probability() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_log_probability", false]], "get_logger() (in module smac.utils.logging)": [[125, "smac.utils.logging.get_logger", false]], "get_min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_min_cost", false]], "get_min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_min_cost", false]], "get_model() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_model", false]], "get_model() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_model", false]], "get_multi_objective_algorithm() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_multi_objective_algorithm", false]], "get_n_trials_for_hyperband_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.get_n_trials_for_hyperband_multifidelity", false]], "get_params() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.get_params", false]], "get_params() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.get_params", false]], "get_random_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_random_design", false]], "get_random_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_random_design", false]], "get_rejected_configs() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_rejected_configs() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_runhistory_encoder() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_runhistory_encoder", false]], "get_running_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_configs", false]], "get_running_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_configs", false]], "get_running_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_trials", false]], "get_running_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_trials", false]], "get_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.get_state", false]], "get_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.get_state", false]], "get_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_state", false]], "get_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_state", false]], "get_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_trials", false]], "get_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_trials", false]], "get_trials_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_trials_of_interest", false]], "get_types() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_types", false]], "gp": [[7, "term-GP", true]], "gp-mcmc": [[7, "term-GP-MCMC", true]], "hammingkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.HammingKernel", false]], "hammingkernel (class in smac.model.gaussian_process.kernels.hamming_kernel)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel", false]], "has_conditions (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.has_conditions", false]], "has_conditions (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.has_conditions", false]], "has_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.has_config", false]], "has_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.has_config", false]], "hb": [[7, "term-HB", true]], "horseshoeprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior", false]], "horseshoeprior (class in smac.model.gaussian_process.priors.horseshoe_prior)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior", false]], "hp": [[7, "term-HP", true]], "hyperband": [[7, "term-Hyperband", true]], "hyperband (class in smac.intensifier)": [[57, "smac.intensifier.Hyperband", false]], "hyperband (class in smac.intensifier.hyperband)": [[59, "smac.intensifier.hyperband.Hyperband", false]], "hyperbandfacade (class in smac.facade)": [[42, "smac.facade.HyperbandFacade", false]], "hyperbandfacade (class in smac.facade.hyperband_facade)": [[46, "smac.facade.hyperband_facade.HyperbandFacade", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.hyperparameter_length_scale", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.hyperparameter_length_scale", false]], "hyperparameteroptimizationfacade (class in smac.facade)": [[42, "smac.facade.HyperparameterOptimizationFacade", false]], "hyperparameteroptimizationfacade (class in smac.facade.hyperparameter_optimization_facade)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade", false]], "hyperparameters (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.hyperparameters", false]], "hyperparameters (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.hyperparameters", false]], "ids_config (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.ids_config", false]], "ids_config (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.ids_config", false]], "incremental_update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.incremental_update_cost", false]], "incremental_update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.incremental_update_cost", false]], "incumbent": [[7, "term-Incumbent", true]], "incumbents_changed (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.incumbents_changed", false]], "incumbents_changed (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.incumbents_changed", false]], "instances": [[7, "term-Instances", true]], "instanceseedbudgetkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedBudgetKey", false]], "instanceseedbudgetkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey", false]], "instanceseedkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedKey", false]], "instanceseedkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedKey", false]], "integratedacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction", false]], "integratedacquisitionfunction (class in smac.acquisition.function.integrated_acquisition_function)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction", false]], "intensification": [[7, "term-Intensification", true]], "intensifier (class in smac.intensifier)": [[57, "smac.intensifier.Intensifier", false]], "intensifier (class in smac.intensifier.intensifier)": [[61, "smac.intensifier.intensifier.Intensifier", false]], "intensifier (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.intensifier", false]], "intensifier (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.intensifier", false]], "intensifier (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.intensifier", false]], "is_running() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.is_running", false]], "is_running() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.is_running", false]], "is_running() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.is_running", false]], "iter_results() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.iter_results", false]], "iter_results() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.iter_results", false]], "iter_results() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.iter_results", false]], "latinhypercubeinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.LatinHypercubeInitialDesign", false]], "latinhypercubeinitialdesign (class in smac.initial_design.latin_hypercube_design)": [[54, "smac.initial_design.latin_hypercube_design.LatinHypercubeInitialDesign", false]], "lcb (class in smac.acquisition.function)": [[24, "smac.acquisition.function.LCB", false]], "lcb (class in smac.acquisition.function.confidence_bound)": [[26, "smac.acquisition.function.confidence_bound.LCB", false]], "load() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.load", false]], "load() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.load", false]], "load() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.load", false]], "load() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.load", false]], "load() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.load", false]], "load() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.load", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer.local_and_random_search)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch", false]], "localsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalSearch", false]], "localsearch (class in smac.acquisition.maximizer.local_search)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch", false]], "lognormalprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior", false]], "lognormalprior (class in smac.model.gaussian_process.priors.log_normal_prior)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior", false]], "make_serializable() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.make_serializable", false]], "maternkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.MaternKernel", false]], "maternkernel (class in smac.model.gaussian_process.kernels.matern_kernel)": [[75, "smac.model.gaussian_process.kernels.matern_kernel.MaternKernel", false]], "maximize() (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer method)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.maximize", false]], "maximize() (smac.acquisition.maximizer.abstractacquisitionmaximizer method)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.maximize", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process.mcmc_gaussian_process)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess", false]], "meanaggregationstrategy (class in smac.multi_objective)": [[90, "smac.multi_objective.MeanAggregationStrategy", false]], "meanaggregationstrategy (class in smac.multi_objective.aggregation_strategy)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy", false]], "meta (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.meta", false]], "meta (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.meta", false]], "meta (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.meta", false]], "meta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.meta", false]], "meta (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.meta", false]], "meta (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.meta", false]], "meta (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.local_search.localsearch property)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch.meta", false]], "meta (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.localsearch property)": [[32, "smac.acquisition.maximizer.LocalSearch.meta", false]], "meta (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.meta", false]], "meta (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.meta", false]], "meta (smac.initial_design.abstract_initial_design.abstractinitialdesign property)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.meta", false]], "meta (smac.initial_design.abstractinitialdesign property)": [[50, "smac.initial_design.AbstractInitialDesign.meta", false]], "meta (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.meta", false]], "meta (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.meta", false]], "meta (smac.main.config_selector.configselector property)": [[64, "smac.main.config_selector.ConfigSelector.meta", false]], "meta (smac.model.abstract_model.abstractmodel property)": [[67, "smac.model.abstract_model.AbstractModel.meta", false]], "meta (smac.model.abstractmodel property)": [[66, "smac.model.AbstractModel.meta", false]], "meta (smac.model.gaussian_process.abstract_gaussian_process.abstractgaussianprocess property)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.abstractgaussianprocess property)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussian_process.gaussianprocess property)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussianprocess property)": [[68, "smac.model.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.priors.abstract_prior.abstractprior property)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gamma_prior.gammaprior property)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gammaprior property)": [[79, "smac.model.gaussian_process.priors.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoe_prior.horseshoeprior property)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoeprior property)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.log_normal_prior.lognormalprior property)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.lognormalprior property)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.softtophatprior property)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.softtophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.tophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophatprior property)": [[79, "smac.model.gaussian_process.priors.TophatPrior.meta", false]], "meta (smac.model.random_forest.random_forest.randomforest property)": [[88, "smac.model.random_forest.random_forest.RandomForest.meta", false]], "meta (smac.model.random_forest.randomforest property)": [[86, "smac.model.random_forest.RandomForest.meta", false]], "meta (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm property)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.abstractmultiobjectivealgorithm property)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.aggregation_strategy.meanaggregationstrategy property)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.meanaggregationstrategy property)": [[90, "smac.multi_objective.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.parego property)": [[90, "smac.multi_objective.ParEGO.meta", false]], "meta (smac.multi_objective.parego.parego property)": [[93, "smac.multi_objective.parego.ParEGO.meta", false]], "meta (smac.random_design.abstract_random_design.abstractrandomdesign property)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.abstractrandomdesign property)": [[94, "smac.random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.annealing_design.cosineannealingrandomdesign property)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.cosineannealingrandomdesign property)": [[94, "smac.random_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.dynamicmodulusrandomdesign property)": [[94, "smac.random_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.dynamicprobabilityrandomdesign property)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.dynamicmodulusrandomdesign property)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.modulusrandomdesign property)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.modulusrandomdesign property)": [[94, "smac.random_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.probability_design.dynamicprobabilityrandomdesign property)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probability_design.probabilityrandomdesign property)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probabilityrandomdesign property)": [[94, "smac.random_design.ProbabilityRandomDesign.meta", false]], "meta (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runner.abstract_runner.abstractrunner property)": [[115, "smac.runner.abstract_runner.AbstractRunner.meta", false]], "meta (smac.runner.abstractrunner property)": [[114, "smac.runner.AbstractRunner.meta", false]], "meta (smac.runner.target_function_runner.targetfunctionrunner property)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.meta", false]], "meta (smac.runner.target_function_script_runner.targetfunctionscriptrunner property)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.meta", false]], "meta (smac.runner.targetfunctionrunner property)": [[114, "smac.runner.TargetFunctionRunner.meta", false]], "meta (smac.scenario.scenario property)": [[121, "smac.scenario.Scenario.meta", false]], "metadatacallback (class in smac.callback)": [[39, "smac.callback.MetadataCallback", false]], "metadatacallback (class in smac.callback.metadata_callback)": [[41, "smac.callback.metadata_callback.MetadataCallback", false]], "mf": [[7, "term-MF", true]], "min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.min_cost", false]], "min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.min_cost", false]], "model (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.model", false]], "model (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.model", false]], "models (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.multi_objective_model.multiobjectivemodel property)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.models", false]], "models (smac.model.multiobjectivemodel property)": [[66, "smac.model.MultiObjectiveModel.models", false]], "module": [[23, "module-smac.acquisition", false], [24, "module-smac.acquisition.function", false], [25, "module-smac.acquisition.function.abstract_acquisition_function", false], [26, "module-smac.acquisition.function.confidence_bound", false], [27, "module-smac.acquisition.function.expected_improvement", false], [28, "module-smac.acquisition.function.integrated_acquisition_function", false], [29, "module-smac.acquisition.function.prior_acqusition_function", false], [30, "module-smac.acquisition.function.probability_improvement", false], [31, "module-smac.acquisition.function.thompson", false], [32, "module-smac.acquisition.maximizer", false], [33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false], [34, "module-smac.acquisition.maximizer.differential_evolution", false], [35, "module-smac.acquisition.maximizer.helpers", false], [36, "module-smac.acquisition.maximizer.local_and_random_search", false], [37, "module-smac.acquisition.maximizer.local_search", false], [38, "module-smac.acquisition.maximizer.random_search", false], [39, "module-smac.callback", false], [40, "module-smac.callback.callback", false], [41, "module-smac.callback.metadata_callback", false], [42, "module-smac.facade", false], [43, "module-smac.facade.abstract_facade", false], [44, "module-smac.facade.algorithm_configuration_facade", false], [45, "module-smac.facade.blackbox_facade", false], [46, "module-smac.facade.hyperband_facade", false], [47, "module-smac.facade.hyperparameter_optimization_facade", false], [48, "module-smac.facade.multi_fidelity_facade", false], [49, "module-smac.facade.random_facade", false], [50, "module-smac.initial_design", false], [51, "module-smac.initial_design.abstract_initial_design", false], [52, "module-smac.initial_design.default_design", false], [53, "module-smac.initial_design.factorial_design", false], [54, "module-smac.initial_design.latin_hypercube_design", false], [55, "module-smac.initial_design.random_design", false], [56, "module-smac.initial_design.sobol_design", false], [57, "module-smac.intensifier", false], [58, "module-smac.intensifier.abstract_intensifier", false], [59, "module-smac.intensifier.hyperband", false], [60, "module-smac.intensifier.hyperband_utils", false], [61, "module-smac.intensifier.intensifier", false], [62, "module-smac.intensifier.successive_halving", false], [63, "module-smac.main", false], [64, "module-smac.main.config_selector", false], [65, "module-smac.main.smbo", false], [66, "module-smac.model", false], [67, "module-smac.model.abstract_model", false], [68, "module-smac.model.gaussian_process", false], [69, "module-smac.model.gaussian_process.abstract_gaussian_process", false], [70, "module-smac.model.gaussian_process.gaussian_process", false], [71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false], [72, "module-smac.model.gaussian_process.kernels", false], [73, "module-smac.model.gaussian_process.kernels.base_kernels", false], [74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false], [75, "module-smac.model.gaussian_process.kernels.matern_kernel", false], [76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false], [77, "module-smac.model.gaussian_process.kernels.white_kernel", false], [78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false], [79, "module-smac.model.gaussian_process.priors", false], [80, "module-smac.model.gaussian_process.priors.abstract_prior", false], [81, "module-smac.model.gaussian_process.priors.gamma_prior", false], [82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false], [83, "module-smac.model.gaussian_process.priors.log_normal_prior", false], [84, "module-smac.model.gaussian_process.priors.tophat_prior", false], [85, "module-smac.model.multi_objective_model", false], [86, "module-smac.model.random_forest", false], [87, "module-smac.model.random_forest.abstract_random_forest", false], [88, "module-smac.model.random_forest.random_forest", false], [89, "module-smac.model.random_model", false], [90, "module-smac.multi_objective", false], [91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false], [92, "module-smac.multi_objective.aggregation_strategy", false], [93, "module-smac.multi_objective.parego", false], [94, "module-smac.random_design", false], [95, "module-smac.random_design.abstract_random_design", false], [96, "module-smac.random_design.annealing_design", false], [97, "module-smac.random_design.modulus_design", false], [98, "module-smac.random_design.probability_design", false], [99, "module-smac.runhistory", false], [100, "module-smac.runhistory.dataclasses", false], [101, "module-smac.runhistory.encoder", false], [102, "module-smac.runhistory.encoder.abstract_encoder", false], [103, "module-smac.runhistory.encoder.boing_encoder", false], [104, "module-smac.runhistory.encoder.eips_encoder", false], [105, "module-smac.runhistory.encoder.encoder", false], [106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false], [107, "module-smac.runhistory.encoder.log_encoder", false], [108, "module-smac.runhistory.encoder.log_scaled_encoder", false], [109, "module-smac.runhistory.encoder.scaled_encoder", false], [110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false], [111, "module-smac.runhistory.enumerations", false], [112, "module-smac.runhistory.errors", false], [113, "module-smac.runhistory.runhistory", false], [114, "module-smac.runner", false], [115, "module-smac.runner.abstract_runner", false], [116, "module-smac.runner.abstract_serial_runner", false], [117, "module-smac.runner.dask_runner", false], [118, "module-smac.runner.exceptions", false], [119, "module-smac.runner.target_function_runner", false], [120, "module-smac.runner.target_function_script_runner", false], [121, "module-smac.scenario", false], [122, "module-smac.utils", false], [123, "module-smac.utils.configspace", false], [124, "module-smac.utils.data_structures", false], [125, "module-smac.utils.logging", false], [126, "module-smac.utils.multi_objective", false], [127, "module-smac.utils.pareto_front", false], [128, "module-smac.utils.subspaces", false], [129, "module-smac.utils.subspaces.boing_subspace", false], [130, "module-smac.utils.subspaces.turbo_subspace", false]], "modulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ModulusRandomDesign", false]], "modulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign", false]], "multi-fidelity": [[7, "term-Multi-Fidelity", true]], "multi-objective": [[7, "term-Multi-Objective", true]], "multi_objective_algorithm (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.multi_objective_algorithm", false]], "multifidelityfacade (class in smac.facade)": [[42, "smac.facade.MultiFidelityFacade", false]], "multifidelityfacade (class in smac.facade.multi_fidelity_facade)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade", false]], "multiobjectivemodel (class in smac.model)": [[66, "smac.model.MultiObjectiveModel", false]], "multiobjectivemodel (class in smac.model.multi_objective_model)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel", false]], "n_dims (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.n_dims", false]], "n_dims (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.n_dims", false]], "name (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.name", false]], "name (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.name", false]], "name (smac.acquisition.function.eips property)": [[24, "smac.acquisition.function.EIPS.name", false]], "name (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.name", false]], "name (smac.acquisition.function.expected_improvement.eips property)": [[27, "smac.acquisition.function.expected_improvement.EIPS.name", false]], "name (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.name", false]], "name (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.name", false]], "name (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.name", false]], "name (smac.acquisition.function.thompson.ts property)": [[31, "smac.acquisition.function.thompson.TS.name", false]], "name (smac.acquisition.function.ts property)": [[24, "smac.acquisition.function.TS.name", false]], "next_iteration() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.next_iteration", false]], "normalize_costs() (in module smac.utils.multi_objective)": [[126, "smac.utils.multi_objective.normalize_costs", false]], "notevaluatederror": [[112, "smac.runhistory.errors.NotEvaluatedError", false]], "objective": [[7, "term-Objective", true]], "objective_bounds (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.objective_bounds", false]], "objective_bounds (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.objective_bounds", false]], "on_ask_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_end", false]], "on_ask_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_end", false]], "on_ask_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_start", false]], "on_ask_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_start", false]], "on_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_end", false]], "on_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_end", false]], "on_iteration_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_end", false]], "on_iteration_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_end", false]], "on_iteration_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_start", false]], "on_iteration_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_start", false]], "on_next_configurations_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_start", false]], "on_next_configurations_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_start", false]], "on_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_start", false]], "on_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_start", false]], "on_start() (smac.callback.metadata_callback.metadatacallback method)": [[41, "smac.callback.metadata_callback.MetadataCallback.on_start", false]], "on_start() (smac.callback.metadatacallback method)": [[39, "smac.callback.MetadataCallback.on_start", false]], "on_tell_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_end", false]], "on_tell_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_end", false]], "on_tell_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_start", false]], "on_tell_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_start", false]], "operate_on (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.operate_on", false]], "operate_on (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.operate_on", false]], "optimize() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimize", false]], "optimize() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.optimize", false]], "optimize() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.optimize", false]], "optimizer (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimizer", false]], "optimizer (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.optimizer", false]], "parego (class in smac.multi_objective)": [[90, "smac.multi_objective.ParEGO", false]], "parego (class in smac.multi_objective.parego)": [[93, "smac.multi_objective.parego.ParEGO", false]], "pi (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PI", false]], "pi (class in smac.acquisition.function.probability_improvement)": [[30, "smac.acquisition.function.probability_improvement.PI", false]], "predict() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict", false]], "predict() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict", false]], "predict_marginalized() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multi_objective_model.multiobjectivemodel method)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multiobjectivemodel method)": [[66, "smac.model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.random_forest.randomforest method)": [[88, "smac.model.random_forest.random_forest.RandomForest.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.randomforest method)": [[86, "smac.model.random_forest.RandomForest.predict_marginalized", false]], "print_config_changes() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.print_config_changes", false]], "print_hyperband_summary() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.print_hyperband_summary", false]], "print_stats() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.print_stats", false]], "print_tracker() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.print_tracker", false]], "print_tracker() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.print_tracker", false]], "prior (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.prior", false]], "prior (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.prior", false]], "prioracquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PriorAcquisitionFunction", false]], "prioracquisitionfunction (class in smac.acquisition.function.prior_acqusition_function)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction", false]], "probabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ProbabilityRandomDesign", false]], "probabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign", false]], "productkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ProductKernel", false]], "productkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel", false]], "random online adaptive racing": [[7, "term-Random-Online-Adaptive-Racing", true]], "randomfacade (class in smac.facade)": [[42, "smac.facade.RandomFacade", false]], "randomfacade (class in smac.facade.random_facade)": [[49, "smac.facade.random_facade.RandomFacade", false]], "randomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.RandomForest", false]], "randomforest (class in smac.model.random_forest.random_forest)": [[88, "smac.model.random_forest.random_forest.RandomForest", false]], "randominitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.RandomInitialDesign", false]], "randominitialdesign (class in smac.initial_design.random_design)": [[55, "smac.initial_design.random_design.RandomInitialDesign", false]], "randommodel (class in smac.model)": [[66, "smac.model.RandomModel", false]], "randommodel (class in smac.model.random_model)": [[89, "smac.model.random_model.RandomModel", false]], "randomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.RandomSearch", false]], "randomsearch (class in smac.acquisition.maximizer.random_search)": [[38, "smac.acquisition.maximizer.random_search.RandomSearch", false]], "rbfkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.RBFKernel", false]], "rbfkernel (class in smac.model.gaussian_process.kernels.rbf_kernel)": [[76, "smac.model.gaussian_process.kernels.rbf_kernel.RBFKernel", false]], "recursively_compare_dicts() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.recursively_compare_dicts", false]], "register_callback() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.register_callback", false]], "remaining_cputime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_cputime", false]], "remaining_trials (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_trials", false]], "remaining_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_walltime", false]], "reset() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.reset", false]], "reset() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.reset", false]], "reset() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.reset", false]], "reset() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.reset", false]], "reset() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.reset", false]], "reset() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.reset", false]], "reset() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.reset", false]], "rf": [[7, "term-RF", true]], "roar": [[7, "term-ROAR", true]], "run() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run", false]], "run() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run", false]], "run() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.run", false]], "run() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.run", false]], "run() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.run", false]], "run() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.run", false]], "run() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.run", false]], "run_wrapper() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run_wrapper", false]], "run_wrapper() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run_wrapper", false]], "runhistory (class in smac.runhistory)": [[99, "smac.runhistory.RunHistory", false]], "runhistory (class in smac.runhistory.runhistory)": [[113, "smac.runhistory.runhistory.RunHistory", false]], "runhistory (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.runhistory", false]], "runhistory (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.runhistory", false]], "runhistory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.runhistory", false]], "runhistory (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistory (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder.eips_encoder)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder.encoder)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder.inverse_scaled_encoder)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder.log_encoder)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder.log_scaled_encoder)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder.scaled_encoder)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder.sqrt_scaled_encoder)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder", false]], "running (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.running", false]], "running (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.running", false]], "sample_from_prior() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.sample_from_prior", false]], "sample_functions() (smac.model.gaussian_process.gaussian_process.gaussianprocess method)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.sample_functions", false]], "sample_functions() (smac.model.gaussian_process.gaussianprocess method)": [[68, "smac.model.gaussian_process.GaussianProcess.sample_functions", false]], "save() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.save", false]], "save() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.save", false]], "save() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.save", false]], "save() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.save", false]], "save() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.save", false]], "save() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.save", false]], "scenario (class in smac.scenario)": [[121, "smac.scenario.Scenario", false]], "scenario (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.scenario", false]], "scenario (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.scenario", false]], "select_configurations() (smac.initial_design.abstract_initial_design.abstractinitialdesign method)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.select_configurations", false]], "select_configurations() (smac.initial_design.abstractinitialdesign method)": [[50, "smac.initial_design.AbstractInitialDesign.select_configurations", false]], "set_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.set_state", false]], "set_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.set_state", false]], "set_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.set_state", false]], "set_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.set_state", false]], "setup_logging() (in module smac.utils.logging)": [[125, "smac.utils.logging.setup_logging", false]], "smac": [[7, "term-SMAC", true]], "smac.acquisition": [[23, "module-smac.acquisition", false]], "smac.acquisition.function": [[24, "module-smac.acquisition.function", false]], "smac.acquisition.function.abstract_acquisition_function": [[25, "module-smac.acquisition.function.abstract_acquisition_function", false]], "smac.acquisition.function.confidence_bound": [[26, "module-smac.acquisition.function.confidence_bound", false]], "smac.acquisition.function.expected_improvement": [[27, "module-smac.acquisition.function.expected_improvement", false]], "smac.acquisition.function.integrated_acquisition_function": [[28, "module-smac.acquisition.function.integrated_acquisition_function", false]], "smac.acquisition.function.prior_acqusition_function": [[29, "module-smac.acquisition.function.prior_acqusition_function", false]], "smac.acquisition.function.probability_improvement": [[30, "module-smac.acquisition.function.probability_improvement", false]], "smac.acquisition.function.thompson": [[31, "module-smac.acquisition.function.thompson", false]], "smac.acquisition.maximizer": [[32, "module-smac.acquisition.maximizer", false]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false]], "smac.acquisition.maximizer.differential_evolution": [[34, "module-smac.acquisition.maximizer.differential_evolution", false]], "smac.acquisition.maximizer.helpers": [[35, "module-smac.acquisition.maximizer.helpers", false]], "smac.acquisition.maximizer.local_and_random_search": [[36, "module-smac.acquisition.maximizer.local_and_random_search", false]], "smac.acquisition.maximizer.local_search": [[37, "module-smac.acquisition.maximizer.local_search", false]], "smac.acquisition.maximizer.random_search": [[38, "module-smac.acquisition.maximizer.random_search", false]], "smac.callback": [[39, "module-smac.callback", false]], "smac.callback.callback": [[40, "module-smac.callback.callback", false]], "smac.callback.metadata_callback": [[41, "module-smac.callback.metadata_callback", false]], "smac.facade": [[42, "module-smac.facade", false]], "smac.facade.abstract_facade": [[43, "module-smac.facade.abstract_facade", false]], "smac.facade.algorithm_configuration_facade": [[44, "module-smac.facade.algorithm_configuration_facade", false]], "smac.facade.blackbox_facade": [[45, "module-smac.facade.blackbox_facade", false]], "smac.facade.hyperband_facade": [[46, "module-smac.facade.hyperband_facade", false]], "smac.facade.hyperparameter_optimization_facade": [[47, "module-smac.facade.hyperparameter_optimization_facade", false]], "smac.facade.multi_fidelity_facade": [[48, "module-smac.facade.multi_fidelity_facade", false]], "smac.facade.random_facade": [[49, "module-smac.facade.random_facade", false]], "smac.initial_design": [[50, "module-smac.initial_design", false]], "smac.initial_design.abstract_initial_design": [[51, "module-smac.initial_design.abstract_initial_design", false]], "smac.initial_design.default_design": [[52, "module-smac.initial_design.default_design", false]], "smac.initial_design.factorial_design": [[53, "module-smac.initial_design.factorial_design", false]], "smac.initial_design.latin_hypercube_design": [[54, "module-smac.initial_design.latin_hypercube_design", false]], "smac.initial_design.random_design": [[55, "module-smac.initial_design.random_design", false]], "smac.initial_design.sobol_design": [[56, "module-smac.initial_design.sobol_design", false]], "smac.intensifier": [[57, "module-smac.intensifier", false]], "smac.intensifier.abstract_intensifier": [[58, "module-smac.intensifier.abstract_intensifier", false]], "smac.intensifier.hyperband": [[59, "module-smac.intensifier.hyperband", false]], "smac.intensifier.hyperband_utils": [[60, "module-smac.intensifier.hyperband_utils", false]], "smac.intensifier.intensifier": [[61, "module-smac.intensifier.intensifier", false]], "smac.intensifier.successive_halving": [[62, "module-smac.intensifier.successive_halving", false]], "smac.main": [[63, "module-smac.main", false]], "smac.main.config_selector": [[64, "module-smac.main.config_selector", false]], "smac.main.smbo": [[65, "module-smac.main.smbo", false]], "smac.model": [[66, "module-smac.model", false]], "smac.model.abstract_model": [[67, "module-smac.model.abstract_model", false]], "smac.model.gaussian_process": [[68, "module-smac.model.gaussian_process", false]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, "module-smac.model.gaussian_process.abstract_gaussian_process", false]], "smac.model.gaussian_process.gaussian_process": [[70, "module-smac.model.gaussian_process.gaussian_process", false]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false]], "smac.model.gaussian_process.kernels": [[72, "module-smac.model.gaussian_process.kernels", false]], "smac.model.gaussian_process.kernels.base_kernels": [[73, "module-smac.model.gaussian_process.kernels.base_kernels", false]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, "module-smac.model.gaussian_process.kernels.matern_kernel", false]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false]], "smac.model.gaussian_process.kernels.white_kernel": [[77, "module-smac.model.gaussian_process.kernels.white_kernel", false]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false]], "smac.model.gaussian_process.priors": [[79, "module-smac.model.gaussian_process.priors", false]], "smac.model.gaussian_process.priors.abstract_prior": [[80, "module-smac.model.gaussian_process.priors.abstract_prior", false]], "smac.model.gaussian_process.priors.gamma_prior": [[81, "module-smac.model.gaussian_process.priors.gamma_prior", false]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, "module-smac.model.gaussian_process.priors.log_normal_prior", false]], "smac.model.gaussian_process.priors.tophat_prior": [[84, "module-smac.model.gaussian_process.priors.tophat_prior", false]], "smac.model.multi_objective_model": [[85, "module-smac.model.multi_objective_model", false]], "smac.model.random_forest": [[86, "module-smac.model.random_forest", false]], "smac.model.random_forest.abstract_random_forest": [[87, "module-smac.model.random_forest.abstract_random_forest", false]], "smac.model.random_forest.random_forest": [[88, "module-smac.model.random_forest.random_forest", false]], "smac.model.random_model": [[89, "module-smac.model.random_model", false]], "smac.multi_objective": [[90, "module-smac.multi_objective", false]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false]], "smac.multi_objective.aggregation_strategy": [[92, "module-smac.multi_objective.aggregation_strategy", false]], "smac.multi_objective.parego": [[93, "module-smac.multi_objective.parego", false]], "smac.random_design": [[94, "module-smac.random_design", false]], "smac.random_design.abstract_random_design": [[95, "module-smac.random_design.abstract_random_design", false]], "smac.random_design.annealing_design": [[96, "module-smac.random_design.annealing_design", false]], "smac.random_design.modulus_design": [[97, "module-smac.random_design.modulus_design", false]], "smac.random_design.probability_design": [[98, "module-smac.random_design.probability_design", false]], "smac.runhistory": [[99, "module-smac.runhistory", false]], "smac.runhistory.dataclasses": [[100, "module-smac.runhistory.dataclasses", false]], "smac.runhistory.encoder": [[101, "module-smac.runhistory.encoder", false]], "smac.runhistory.encoder.abstract_encoder": [[102, "module-smac.runhistory.encoder.abstract_encoder", false]], "smac.runhistory.encoder.boing_encoder": [[103, "module-smac.runhistory.encoder.boing_encoder", false]], "smac.runhistory.encoder.eips_encoder": [[104, "module-smac.runhistory.encoder.eips_encoder", false]], "smac.runhistory.encoder.encoder": [[105, "module-smac.runhistory.encoder.encoder", false]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false]], "smac.runhistory.encoder.log_encoder": [[107, "module-smac.runhistory.encoder.log_encoder", false]], "smac.runhistory.encoder.log_scaled_encoder": [[108, "module-smac.runhistory.encoder.log_scaled_encoder", false]], "smac.runhistory.encoder.scaled_encoder": [[109, "module-smac.runhistory.encoder.scaled_encoder", false]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false]], "smac.runhistory.enumerations": [[111, "module-smac.runhistory.enumerations", false]], "smac.runhistory.errors": [[112, "module-smac.runhistory.errors", false]], "smac.runhistory.runhistory": [[113, "module-smac.runhistory.runhistory", false]], "smac.runner": [[114, "module-smac.runner", false]], "smac.runner.abstract_runner": [[115, "module-smac.runner.abstract_runner", false]], "smac.runner.abstract_serial_runner": [[116, "module-smac.runner.abstract_serial_runner", false]], "smac.runner.dask_runner": [[117, "module-smac.runner.dask_runner", false]], "smac.runner.exceptions": [[118, "module-smac.runner.exceptions", false]], "smac.runner.target_function_runner": [[119, "module-smac.runner.target_function_runner", false]], "smac.runner.target_function_script_runner": [[120, "module-smac.runner.target_function_script_runner", false]], "smac.scenario": [[121, "module-smac.scenario", false]], "smac.utils": [[122, "module-smac.utils", false]], "smac.utils.configspace": [[123, "module-smac.utils.configspace", false]], "smac.utils.data_structures": [[124, "module-smac.utils.data_structures", false]], "smac.utils.logging": [[125, "module-smac.utils.logging", false]], "smac.utils.multi_objective": [[126, "module-smac.utils.multi_objective", false]], "smac.utils.pareto_front": [[127, "module-smac.utils.pareto_front", false]], "smac.utils.subspaces": [[128, "module-smac.utils.subspaces", false]], "smac.utils.subspaces.boing_subspace": [[129, "module-smac.utils.subspaces.boing_subspace", false]], "smac.utils.subspaces.turbo_subspace": [[130, "module-smac.utils.subspaces.turbo_subspace", false]], "smbo": [[7, "term-SMBO", true]], "smbo (class in smac.main.smbo)": [[65, "smac.main.smbo.SMBO", false]], "sobolinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.SobolInitialDesign", false]], "sobolinitialdesign (class in smac.initial_design.sobol_design)": [[56, "smac.initial_design.sobol_design.SobolInitialDesign", false]], "softtophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior", false]], "softtophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior", false]], "sort_by_crowding_distance() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.sort_by_crowding_distance", false]], "statustype (class in smac.runhistory)": [[99, "smac.runhistory.StatusType", false]], "statustype (class in smac.runhistory.enumerations)": [[111, "smac.runhistory.enumerations.StatusType", false]], "submit_trial() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.submit_trial", false]], "submit_trial() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.submit_trial", false]], "submit_trial() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.submit_trial", false]], "submitted (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.submitted", false]], "submitted (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.submitted", false]], "successivehalving (class in smac.intensifier)": [[57, "smac.intensifier.SuccessiveHalving", false]], "successivehalving (class in smac.intensifier.successive_halving)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving", false]], "sum_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.sum_cost", false]], "sum_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.sum_cost", false]], "sumkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.SumKernel", false]], "sumkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel", false]], "target function": [[7, "term-Target-Function", true]], "targetalgorithmabortexception": [[114, "smac.runner.TargetAlgorithmAbortException", false], [118, "smac.runner.exceptions.TargetAlgorithmAbortException", false]], "targetfunctionrunner (class in smac.runner)": [[114, "smac.runner.TargetFunctionRunner", false]], "targetfunctionrunner (class in smac.runner.target_function_runner)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner", false]], "targetfunctionscriptrunner (class in smac.runner.target_function_script_runner)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner", false]], "tell() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.tell", false]], "tell() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.tell", false]], "tell() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.tell", false]], "tophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.TophatPrior", false]], "tophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior", false]], "train() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.train", false]], "train() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.train", false]], "trajectory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.trajectory", false]], "trajectory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.trajectory", false]], "trajectoryitem (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrajectoryItem", false]], "transform() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform", false]], "transform() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform", false]], "transform_response_values() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.eips_encoder.runhistoryeipsencoder method)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.encoder.runhistoryencoder method)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.inverse_scaled_encoder.runhistoryinversescaledencoder method)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_encoder.runhistorylogencoder method)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_scaled_encoder.runhistorylogscaledencoder method)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryeipsencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryinversescaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorysqrtscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.scaled_encoder.runhistoryscaledencoder method)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.sqrt_scaled_encoder.runhistorysqrtscaledencoder method)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "trial": [[7, "term-Trial", true]], "trialinfo (class in smac.runhistory)": [[99, "smac.runhistory.TrialInfo", false]], "trialinfo (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialInfo", false]], "trialkey (class in smac.runhistory)": [[99, "smac.runhistory.TrialKey", false]], "trialkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialKey", false]], "trialvalue (class in smac.runhistory)": [[99, "smac.runhistory.TrialValue", false]], "trialvalue (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialValue", false]], "ts (class in smac.acquisition.function)": [[24, "smac.acquisition.function.TS", false]], "ts (class in smac.acquisition.function.thompson)": [[31, "smac.acquisition.function.thompson.TS", false]], "update() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.update", false]], "update() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.update", false]], "update() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update", false]], "update() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update", false]], "update_acquisition_function() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_acquisition_function", false]], "update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_cost", false]], "update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_cost", false]], "update_costs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_costs", false]], "update_costs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_costs", false]], "update_from_json() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_from_json", false]], "update_from_json() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_from_json", false]], "update_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.update_incumbents", false]], "update_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.update_incumbents", false]], "update_model() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_model", false]], "update_on_iteration_start() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.update_on_iteration_start", false]], "used_target_function_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_target_function_walltime", false]], "used_walltime (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_walltime", false]], "uses_budgets (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_budgets", false]], "uses_budgets (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_budgets", false]], "uses_instances (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_instances", false]], "uses_instances (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_instances", false]], "uses_seeds (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_seeds", false]], "uses_seeds (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_seeds", false]], "validate() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.validate", false]], "validate() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.validate", false]], "validate() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.validate", false]], "wait() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.wait", false]], "wait() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.wait", false]], "wait() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.wait", false]], "wait() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.wait", false]], "wait() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.wait", false]], "whitekernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.WhiteKernel", false]], "whitekernel (class in smac.model.gaussian_process.kernels.white_kernel)": [[77, "smac.model.gaussian_process.kernels.white_kernel.WhiteKernel", false]]}, "objects": {"smac": [[23, 0, 0, "-", "acquisition"], [39, 0, 0, "-", "callback"], [42, 0, 0, "-", "facade"], [50, 0, 0, "-", "initial_design"], [57, 0, 0, "-", "intensifier"], [63, 0, 0, "-", "main"], [66, 0, 0, "-", "model"], [90, 0, 0, "-", "multi_objective"], [94, 0, 0, "-", "random_design"], [99, 0, 0, "-", "runhistory"], [114, 0, 0, "-", "runner"], [121, 0, 0, "-", "scenario"], [122, 0, 0, "-", "utils"]], "smac.acquisition": [[24, 0, 0, "-", "function"], [32, 0, 0, "-", "maximizer"]], "smac.acquisition.function": [[24, 1, 1, "", "AbstractAcquisitionFunction"], [24, 1, 1, "", "EI"], [24, 1, 1, "", "EIPS"], [24, 1, 1, "", "IntegratedAcquisitionFunction"], [24, 1, 1, "", "LCB"], [24, 1, 1, "", "PI"], [24, 1, 1, "", "PriorAcquisitionFunction"], [24, 1, 1, "", "TS"], [25, 0, 0, "-", "abstract_acquisition_function"], [26, 0, 0, "-", "confidence_bound"], [27, 0, 0, "-", "expected_improvement"], [28, 0, 0, "-", "integrated_acquisition_function"], [29, 0, 0, "-", "prior_acqusition_function"], [30, 0, 0, "-", "probability_improvement"], [31, 0, 0, "-", "thompson"]], "smac.acquisition.function.AbstractAcquisitionFunction": [[24, 2, 1, "", "__call__"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"], [24, 2, 1, "", "update"]], "smac.acquisition.function.EI": [[24, 4, 1, "", "_eta"], [24, 4, 1, "", "_log"], [24, 4, 1, "", "_xi"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.EIPS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.IntegratedAcquisitionFunction": [[24, 4, 1, "", "_acquisition_function"], [24, 4, 1, "", "_eta"], [24, 4, 1, "", "_functions"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.LCB": [[24, 4, 1, "", "_beta"], [24, 4, 1, "", "_num_data"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PI": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PriorAcquisitionFunction": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"]], "smac.acquisition.function.TS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.abstract_acquisition_function": [[25, 1, 1, "", "AbstractAcquisitionFunction"]], "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction": [[25, 2, 1, "", "__call__"], [25, 3, 1, "", "meta"], [25, 3, 1, "", "model"], [25, 3, 1, "", "name"], [25, 2, 1, "", "update"]], "smac.acquisition.function.confidence_bound": [[26, 1, 1, "", "LCB"]], "smac.acquisition.function.confidence_bound.LCB": [[26, 4, 1, "", "_beta"], [26, 4, 1, "", "_num_data"], [26, 3, 1, "", "meta"], [26, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement": [[27, 1, 1, "", "EI"], [27, 1, 1, "", "EIPS"]], "smac.acquisition.function.expected_improvement.EI": [[27, 4, 1, "", "_eta"], [27, 4, 1, "", "_log"], [27, 4, 1, "", "_xi"], [27, 3, 1, "", "meta"], [27, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement.EIPS": [[27, 3, 1, "", "name"]], "smac.acquisition.function.integrated_acquisition_function": [[28, 1, 1, "", "IntegratedAcquisitionFunction"]], "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction": [[28, 4, 1, "", "_acquisition_function"], [28, 4, 1, "", "_eta"], [28, 4, 1, "", "_functions"], [28, 3, 1, "", "meta"], [28, 3, 1, "", "name"]], "smac.acquisition.function.prior_acqusition_function": [[29, 1, 1, "", "PriorAcquisitionFunction"]], "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction": [[29, 3, 1, "", "meta"], [29, 3, 1, "", "model"], [29, 3, 1, "", "name"]], "smac.acquisition.function.probability_improvement": [[30, 1, 1, "", "PI"]], "smac.acquisition.function.probability_improvement.PI": [[30, 3, 1, "", "meta"], [30, 3, 1, "", "name"]], "smac.acquisition.function.thompson": [[31, 1, 1, "", "TS"]], "smac.acquisition.function.thompson.TS": [[31, 3, 1, "", "name"]], "smac.acquisition.maximizer": [[32, 1, 1, "", "AbstractAcquisitionMaximizer"], [32, 1, 1, "", "DifferentialEvolution"], [32, 1, 1, "", "LocalAndSortedRandomSearch"], [32, 1, 1, "", "LocalSearch"], [32, 1, 1, "", "RandomSearch"], [33, 0, 0, "-", "abstract_acqusition_maximizer"], [34, 0, 0, "-", "differential_evolution"], [35, 0, 0, "-", "helpers"], [36, 0, 0, "-", "local_and_random_search"], [37, 0, 0, "-", "local_search"], [38, 0, 0, "-", "random_search"]], "smac.acquisition.maximizer.AbstractAcquisitionMaximizer": [[32, 3, 1, "", "acquisition_function"], [32, 2, 1, "", "maximize"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalAndSortedRandomSearch": [[32, 3, 1, "", "acquisition_function"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalSearch": [[32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, 1, 1, "", "AbstractAcquisitionMaximizer"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer": [[33, 3, 1, "", "acquisition_function"], [33, 2, 1, "", "maximize"], [33, 3, 1, "", "meta"]], "smac.acquisition.maximizer.differential_evolution": [[34, 1, 1, "", "DifferentialEvolution"]], "smac.acquisition.maximizer.helpers": [[35, 1, 1, "", "ChallengerList"]], "smac.acquisition.maximizer.local_and_random_search": [[36, 1, 1, "", "LocalAndSortedRandomSearch"]], "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch": [[36, 3, 1, "", "acquisition_function"], [36, 3, 1, "", "meta"]], "smac.acquisition.maximizer.local_search": [[37, 1, 1, "", "LocalSearch"]], "smac.acquisition.maximizer.local_search.LocalSearch": [[37, 3, 1, "", "meta"]], "smac.acquisition.maximizer.random_search": [[38, 1, 1, "", "RandomSearch"]], "smac.callback": [[39, 1, 1, "", "Callback"], [39, 1, 1, "", "MetadataCallback"], [40, 0, 0, "-", "callback"], [41, 0, 0, "-", "metadata_callback"]], "smac.callback.Callback": [[39, 2, 1, "", "on_ask_end"], [39, 2, 1, "", "on_ask_start"], [39, 2, 1, "", "on_end"], [39, 2, 1, "", "on_iteration_end"], [39, 2, 1, "", "on_iteration_start"], [39, 2, 1, "", "on_next_configurations_end"], [39, 2, 1, "", "on_next_configurations_start"], [39, 2, 1, "", "on_start"], [39, 2, 1, "", "on_tell_end"], [39, 2, 1, "", "on_tell_start"]], "smac.callback.MetadataCallback": [[39, 2, 1, "", "on_start"]], "smac.callback.callback": [[40, 1, 1, "", "Callback"]], "smac.callback.callback.Callback": [[40, 2, 1, "", "on_ask_end"], [40, 2, 1, "", "on_ask_start"], [40, 2, 1, "", "on_end"], [40, 2, 1, "", "on_iteration_end"], [40, 2, 1, "", "on_iteration_start"], [40, 2, 1, "", "on_next_configurations_end"], [40, 2, 1, "", "on_next_configurations_start"], [40, 2, 1, "", "on_start"], [40, 2, 1, "", "on_tell_end"], [40, 2, 1, "", "on_tell_start"]], "smac.callback.metadata_callback": [[41, 1, 1, "", "MetadataCallback"]], "smac.callback.metadata_callback.MetadataCallback": [[41, 2, 1, "", "on_start"]], "smac.facade": [[42, 1, 1, "", "AbstractFacade"], [42, 1, 1, "", "AlgorithmConfigurationFacade"], [42, 1, 1, "", "BlackBoxFacade"], [42, 1, 1, "", "HyperbandFacade"], [42, 1, 1, "", "HyperparameterOptimizationFacade"], [42, 1, 1, "", "MultiFidelityFacade"], [42, 1, 1, "", "RandomFacade"], [43, 0, 0, "-", "abstract_facade"], [44, 0, 0, "-", "algorithm_configuration_facade"], [45, 0, 0, "-", "blackbox_facade"], [46, 0, 0, "-", "hyperband_facade"], [47, 0, 0, "-", "hyperparameter_optimization_facade"], [48, 0, 0, "-", "multi_fidelity_facade"], [49, 0, 0, "-", "random_facade"]], "smac.facade.AbstractFacade": [[42, 2, 1, "", "ask"], [42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"], [42, 3, 1, "", "intensifier"], [42, 3, 1, "", "meta"], [42, 2, 1, "", "optimize"], [42, 3, 1, "", "optimizer"], [42, 3, 1, "", "runhistory"], [42, 3, 1, "", "scenario"], [42, 2, 1, "", "tell"], [42, 2, 1, "", "validate"]], "smac.facade.AlgorithmConfigurationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.BlackBoxFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_kernel"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.HyperbandFacade": [[42, 2, 1, "", "get_intensifier"]], "smac.facade.HyperparameterOptimizationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.MultiFidelityFacade": [[42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"]], "smac.facade.RandomFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.abstract_facade": [[43, 1, 1, "", "AbstractFacade"]], "smac.facade.abstract_facade.AbstractFacade": [[43, 2, 1, "", "ask"], [43, 2, 1, "", "get_acquisition_function"], [43, 2, 1, "", "get_acquisition_maximizer"], [43, 2, 1, "", "get_config_selector"], [43, 2, 1, "", "get_initial_design"], [43, 2, 1, "", "get_intensifier"], [43, 2, 1, "", "get_model"], [43, 2, 1, "", "get_multi_objective_algorithm"], [43, 2, 1, "", "get_random_design"], [43, 2, 1, "", "get_runhistory_encoder"], [43, 3, 1, "", "intensifier"], [43, 3, 1, "", "meta"], [43, 2, 1, "", "optimize"], [43, 3, 1, "", "optimizer"], [43, 3, 1, "", "runhistory"], [43, 3, 1, "", "scenario"], [43, 2, 1, "", "tell"], [43, 2, 1, "", "validate"]], "smac.facade.algorithm_configuration_facade": [[44, 1, 1, "", "AlgorithmConfigurationFacade"]], "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade": [[44, 2, 1, "", "get_acquisition_function"], [44, 2, 1, "", "get_acquisition_maximizer"], [44, 2, 1, "", "get_initial_design"], [44, 2, 1, "", "get_intensifier"], [44, 2, 1, "", "get_model"], [44, 2, 1, "", "get_multi_objective_algorithm"], [44, 2, 1, "", "get_random_design"], [44, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.blackbox_facade": [[45, 1, 1, "", "BlackBoxFacade"]], "smac.facade.blackbox_facade.BlackBoxFacade": [[45, 2, 1, "", "get_acquisition_function"], [45, 2, 1, "", "get_acquisition_maximizer"], [45, 2, 1, "", "get_config_selector"], [45, 2, 1, "", "get_initial_design"], [45, 2, 1, "", "get_intensifier"], [45, 2, 1, "", "get_kernel"], [45, 2, 1, "", "get_model"], [45, 2, 1, "", "get_multi_objective_algorithm"], [45, 2, 1, "", "get_random_design"], [45, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.hyperband_facade": [[46, 1, 1, "", "HyperbandFacade"]], "smac.facade.hyperband_facade.HyperbandFacade": [[46, 2, 1, "", "get_intensifier"]], "smac.facade.hyperparameter_optimization_facade": [[47, 1, 1, "", "HyperparameterOptimizationFacade"]], "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade": [[47, 2, 1, "", "get_acquisition_function"], [47, 2, 1, "", "get_acquisition_maximizer"], [47, 2, 1, "", "get_initial_design"], [47, 2, 1, "", "get_intensifier"], [47, 2, 1, "", "get_model"], [47, 2, 1, "", "get_multi_objective_algorithm"], [47, 2, 1, "", "get_random_design"], [47, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.multi_fidelity_facade": [[48, 1, 1, "", "MultiFidelityFacade"]], "smac.facade.multi_fidelity_facade.MultiFidelityFacade": [[48, 2, 1, "", "get_initial_design"], [48, 2, 1, "", "get_intensifier"]], "smac.facade.random_facade": [[49, 1, 1, "", "RandomFacade"]], "smac.facade.random_facade.RandomFacade": [[49, 2, 1, "", "get_acquisition_function"], [49, 2, 1, "", "get_acquisition_maximizer"], [49, 2, 1, "", "get_initial_design"], [49, 2, 1, "", "get_intensifier"], [49, 2, 1, "", "get_model"], [49, 2, 1, "", "get_multi_objective_algorithm"], [49, 2, 1, "", "get_random_design"], [49, 2, 1, "", "get_runhistory_encoder"]], "smac.initial_design": [[50, 1, 1, "", "AbstractInitialDesign"], [50, 1, 1, "", "DefaultInitialDesign"], [50, 1, 1, "", "FactorialInitialDesign"], [50, 1, 1, "", "LatinHypercubeInitialDesign"], [50, 1, 1, "", "RandomInitialDesign"], [50, 1, 1, "", "SobolInitialDesign"], [51, 0, 0, "-", "abstract_initial_design"], [52, 0, 0, "-", "default_design"], [53, 0, 0, "-", "factorial_design"], [54, 0, 0, "-", "latin_hypercube_design"], [55, 0, 0, "-", "random_design"], [56, 0, 0, "-", "sobol_design"]], "smac.initial_design.AbstractInitialDesign": [[50, 3, 1, "", "meta"], [50, 2, 1, "", "select_configurations"]], "smac.initial_design.abstract_initial_design": [[51, 1, 1, "", "AbstractInitialDesign"]], "smac.initial_design.abstract_initial_design.AbstractInitialDesign": [[51, 3, 1, "", "meta"], [51, 2, 1, "", "select_configurations"]], "smac.initial_design.default_design": [[52, 1, 1, "", "DefaultInitialDesign"]], "smac.initial_design.factorial_design": [[53, 1, 1, "", "FactorialInitialDesign"]], "smac.initial_design.latin_hypercube_design": [[54, 1, 1, "", "LatinHypercubeInitialDesign"]], "smac.initial_design.random_design": [[55, 1, 1, "", "RandomInitialDesign"]], "smac.initial_design.sobol_design": [[56, 1, 1, "", "SobolInitialDesign"]], "smac.intensifier": [[57, 1, 1, "", "AbstractIntensifier"], [57, 1, 1, "", "Hyperband"], [57, 1, 1, "", "Intensifier"], [57, 1, 1, "", "SuccessiveHalving"], [58, 0, 0, "-", "abstract_intensifier"], [59, 0, 0, "-", "hyperband"], [60, 0, 0, "-", "hyperband_utils"], [61, 0, 0, "-", "intensifier"], [62, 0, 0, "-", "successive_halving"]], "smac.intensifier.AbstractIntensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "__post_init__"], [57, 3, 1, "", "config_generator"], [57, 3, 1, "", "config_selector"], [57, 2, 1, "", "get_callback"], [57, 2, 1, "", "get_incumbent"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [57, 2, 1, "", "get_incumbents"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_instance_seed_keys_of_interest"], [57, 2, 1, "", "get_rejected_configs"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "incumbents_changed"], [57, 2, 1, "", "load"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "reset"], [57, 3, 1, "", "runhistory"], [57, 2, 1, "", "save"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "trajectory"], [57, 2, 1, "", "update_incumbents"], [57, 3, 1, "", "used_walltime"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.Hyperband": [[57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"]], "smac.intensifier.Intensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.SuccessiveHalving": [[57, 2, 1, "", "__post_init__"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "print_tracker"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.abstract_intensifier": [[58, 1, 1, "", "AbstractIntensifier"]], "smac.intensifier.abstract_intensifier.AbstractIntensifier": [[58, 2, 1, "", "__iter__"], [58, 2, 1, "", "__post_init__"], [58, 3, 1, "", "config_generator"], [58, 3, 1, "", "config_selector"], [58, 2, 1, "", "get_callback"], [58, 2, 1, "", "get_incumbent"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [58, 2, 1, "", "get_incumbents"], [58, 2, 1, "", "get_instance_seed_budget_keys"], [58, 2, 1, "", "get_instance_seed_keys_of_interest"], [58, 2, 1, "", "get_rejected_configs"], [58, 2, 1, "", "get_state"], [58, 2, 1, "", "get_trials_of_interest"], [58, 3, 1, "", "incumbents_changed"], [58, 2, 1, "", "load"], [58, 3, 1, "", "meta"], [58, 2, 1, "", "reset"], [58, 3, 1, "", "runhistory"], [58, 2, 1, "", "save"], [58, 2, 1, "", "set_state"], [58, 3, 1, "", "trajectory"], [58, 2, 1, "", "update_incumbents"], [58, 3, 1, "", "used_walltime"], [58, 3, 1, "", "uses_budgets"], [58, 3, 1, "", "uses_instances"], [58, 3, 1, "", "uses_seeds"]], "smac.intensifier.hyperband": [[59, 1, 1, "", "Hyperband"]], "smac.intensifier.hyperband.Hyperband": [[59, 2, 1, "", "get_state"], [59, 2, 1, "", "reset"], [59, 2, 1, "", "set_state"]], "smac.intensifier.hyperband_utils": [[60, 5, 1, "", "determine_HB"], [60, 5, 1, "", "determine_hyperband_for_multifidelity"], [60, 5, 1, "", "get_n_trials_for_hyperband_multifidelity"], [60, 5, 1, "", "print_hyperband_summary"]], "smac.intensifier.intensifier": [[61, 1, 1, "", "Intensifier"]], "smac.intensifier.intensifier.Intensifier": [[61, 2, 1, "", "__iter__"], [61, 2, 1, "", "get_state"], [61, 2, 1, "", "reset"], [61, 2, 1, "", "set_state"], [61, 3, 1, "", "uses_budgets"], [61, 3, 1, "", "uses_instances"], [61, 3, 1, "", "uses_seeds"]], "smac.intensifier.successive_halving": [[62, 1, 1, "", "SuccessiveHalving"]], "smac.intensifier.successive_halving.SuccessiveHalving": [[62, 2, 1, "", "__post_init__"], [62, 2, 1, "", "get_instance_seed_budget_keys"], [62, 2, 1, "", "get_state"], [62, 2, 1, "", "get_trials_of_interest"], [62, 3, 1, "", "meta"], [62, 2, 1, "", "print_tracker"], [62, 2, 1, "", "reset"], [62, 2, 1, "", "set_state"], [62, 3, 1, "", "uses_budgets"], [62, 3, 1, "", "uses_instances"], [62, 3, 1, "", "uses_seeds"]], "smac.main": [[64, 0, 0, "-", "config_selector"], [65, 0, 0, "-", "smbo"]], "smac.main.config_selector": [[64, 1, 1, "", "ConfigSelector"]], "smac.main.config_selector.ConfigSelector": [[64, 2, 1, "", "__iter__"], [64, 3, 1, "", "meta"]], "smac.main.smbo": [[65, 1, 1, "", "SMBO"]], "smac.main.smbo.SMBO": [[65, 2, 1, "", "ask"], [65, 3, 1, "", "budget_exhausted"], [65, 2, 1, "", "exists"], [65, 3, 1, "", "intensifier"], [65, 2, 1, "", "load"], [65, 2, 1, "", "optimize"], [65, 2, 1, "", "print_stats"], [65, 2, 1, "", "register_callback"], [65, 3, 1, "", "remaining_cputime"], [65, 3, 1, "", "remaining_trials"], [65, 3, 1, "", "remaining_walltime"], [65, 2, 1, "", "reset"], [65, 3, 1, "", "runhistory"], [65, 2, 1, "", "save"], [65, 2, 1, "", "tell"], [65, 2, 1, "", "update_acquisition_function"], [65, 2, 1, "", "update_model"], [65, 3, 1, "", "used_target_function_walltime"], [65, 3, 1, "", "used_walltime"], [65, 2, 1, "", "validate"]], "smac.model": [[66, 1, 1, "", "AbstractModel"], [66, 1, 1, "", "MultiObjectiveModel"], [66, 1, 1, "", "RandomModel"], [67, 0, 0, "-", "abstract_model"], [68, 0, 0, "-", "gaussian_process"], [85, 0, 0, "-", "multi_objective_model"], [86, 0, 0, "-", "random_forest"], [89, 0, 0, "-", "random_model"]], "smac.model.AbstractModel": [[66, 3, 1, "", "meta"], [66, 2, 1, "", "predict"], [66, 2, 1, "", "predict_marginalized"], [66, 2, 1, "", "train"]], "smac.model.MultiObjectiveModel": [[66, 3, 1, "", "models"], [66, 2, 1, "", "predict_marginalized"]], "smac.model.abstract_model": [[67, 1, 1, "", "AbstractModel"]], "smac.model.abstract_model.AbstractModel": [[67, 3, 1, "", "meta"], [67, 2, 1, "", "predict"], [67, 2, 1, "", "predict_marginalized"], [67, 2, 1, "", "train"]], "smac.model.gaussian_process": [[68, 1, 1, "", "AbstractGaussianProcess"], [68, 1, 1, "", "GaussianProcess"], [68, 1, 1, "", "MCMCGaussianProcess"], [69, 0, 0, "-", "abstract_gaussian_process"], [70, 0, 0, "-", "gaussian_process"], [71, 0, 0, "-", "gpytorch_gaussian_process"], [72, 0, 0, "-", "kernels"], [78, 0, 0, "-", "mcmc_gaussian_process"], [79, 0, 0, "-", "priors"]], "smac.model.gaussian_process.AbstractGaussianProcess": [[68, 3, 1, "", "meta"]], "smac.model.gaussian_process.GaussianProcess": [[68, 3, 1, "", "meta"], [68, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.MCMCGaussianProcess": [[68, 3, 1, "", "meta"], [68, 3, 1, "", "models"]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, 1, 1, "", "AbstractGaussianProcess"]], "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess": [[69, 3, 1, "", "meta"]], "smac.model.gaussian_process.gaussian_process": [[70, 1, 1, "", "GaussianProcess"]], "smac.model.gaussian_process.gaussian_process.GaussianProcess": [[70, 3, 1, "", "meta"], [70, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.kernels": [[72, 1, 1, "", "AbstractKernel"], [72, 1, 1, "", "ConstantKernel"], [72, 1, 1, "", "HammingKernel"], [72, 1, 1, "", "MaternKernel"], [72, 1, 1, "", "ProductKernel"], [72, 1, 1, "", "RBFKernel"], [72, 1, 1, "", "SumKernel"], [72, 1, 1, "", "WhiteKernel"], [73, 0, 0, "-", "base_kernels"], [74, 0, 0, "-", "hamming_kernel"], [75, 0, 0, "-", "matern_kernel"], [76, 0, 0, "-", "rbf_kernel"], [77, 0, 0, "-", "white_kernel"]], "smac.model.gaussian_process.kernels.AbstractKernel": [[72, 2, 1, "", "__call__"], [72, 2, 1, "", "get_params"], [72, 4, 1, "", "has_conditions"], [72, 3, 1, "", "hyperparameters"], [72, 3, 1, "", "meta"], [72, 3, 1, "", "n_dims"], [72, 4, 1, "", "operate_on"], [72, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.ConstantKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.HammingKernel": [[72, 3, 1, "", "hyperparameter_length_scale"], [72, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.ProductKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.SumKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels": [[73, 1, 1, "", "AbstractKernel"], [73, 1, 1, "", "ConstantKernel"], [73, 1, 1, "", "ProductKernel"], [73, 1, 1, "", "SumKernel"]], "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel": [[73, 2, 1, "", "__call__"], [73, 2, 1, "", "get_params"], [73, 4, 1, "", "has_conditions"], [73, 3, 1, "", "hyperparameters"], [73, 3, 1, "", "meta"], [73, 3, 1, "", "n_dims"], [73, 4, 1, "", "operate_on"], [73, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.ProductKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.SumKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, 1, 1, "", "HammingKernel"]], "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel": [[74, 3, 1, "", "hyperparameter_length_scale"], [74, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, 1, 1, "", "MaternKernel"]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, 1, 1, "", "RBFKernel"]], "smac.model.gaussian_process.kernels.white_kernel": [[77, 1, 1, "", "WhiteKernel"]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, 1, 1, "", "MCMCGaussianProcess"]], "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess": [[78, 3, 1, "", "meta"], [78, 3, 1, "", "models"]], "smac.model.gaussian_process.priors": [[79, 1, 1, "", "GammaPrior"], [79, 1, 1, "", "HorseshoePrior"], [79, 1, 1, "", "LogNormalPrior"], [79, 1, 1, "", "SoftTopHatPrior"], [79, 1, 1, "", "TophatPrior"], [80, 0, 0, "-", "abstract_prior"], [81, 0, 0, "-", "gamma_prior"], [82, 0, 0, "-", "horseshoe_prior"], [83, 0, 0, "-", "log_normal_prior"], [84, 0, 0, "-", "tophat_prior"]], "smac.model.gaussian_process.priors.GammaPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.HorseshoePrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.LogNormalPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.SoftTopHatPrior": [[79, 2, 1, "", "get_gradient"], [79, 2, 1, "", "get_log_probability"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.TophatPrior": [[79, 2, 1, "", "get_gradient"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.abstract_prior": [[80, 1, 1, "", "AbstractPrior"]], "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior": [[80, 2, 1, "", "get_gradient"], [80, 2, 1, "", "get_log_probability"], [80, 3, 1, "", "meta"], [80, 2, 1, "", "sample_from_prior"]], "smac.model.gaussian_process.priors.gamma_prior": [[81, 1, 1, "", "GammaPrior"]], "smac.model.gaussian_process.priors.gamma_prior.GammaPrior": [[81, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, 1, 1, "", "HorseshoePrior"]], "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior": [[82, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, 1, 1, "", "LogNormalPrior"]], "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior": [[83, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior": [[84, 1, 1, "", "SoftTopHatPrior"], [84, 1, 1, "", "TophatPrior"]], "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior": [[84, 2, 1, "", "get_gradient"], [84, 2, 1, "", "get_log_probability"], [84, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior.TophatPrior": [[84, 2, 1, "", "get_gradient"], [84, 3, 1, "", "meta"]], "smac.model.multi_objective_model": [[85, 1, 1, "", "MultiObjectiveModel"]], "smac.model.multi_objective_model.MultiObjectiveModel": [[85, 3, 1, "", "models"], [85, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest": [[86, 1, 1, "", "AbstractRandomForest"], [86, 1, 1, "", "RandomForest"], [87, 0, 0, "-", "abstract_random_forest"], [88, 0, 0, "-", "random_forest"]], "smac.model.random_forest.RandomForest": [[86, 3, 1, "", "meta"], [86, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest.abstract_random_forest": [[87, 1, 1, "", "AbstractRandomForest"]], "smac.model.random_forest.random_forest": [[88, 1, 1, "", "RandomForest"]], "smac.model.random_forest.random_forest.RandomForest": [[88, 3, 1, "", "meta"], [88, 2, 1, "", "predict_marginalized"]], "smac.model.random_model": [[89, 1, 1, "", "RandomModel"]], "smac.multi_objective": [[90, 1, 1, "", "AbstractMultiObjectiveAlgorithm"], [90, 1, 1, "", "MeanAggregationStrategy"], [90, 1, 1, "", "ParEGO"], [91, 0, 0, "-", "abstract_multi_objective_algorithm"], [92, 0, 0, "-", "aggregation_strategy"], [93, 0, 0, "-", "parego"]], "smac.multi_objective.AbstractMultiObjectiveAlgorithm": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.MeanAggregationStrategy": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"]], "smac.multi_objective.ParEGO": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, 1, 1, "", "AbstractMultiObjectiveAlgorithm"]], "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm": [[91, 2, 1, "", "__call__"], [91, 3, 1, "", "meta"], [91, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.aggregation_strategy": [[92, 1, 1, "", "MeanAggregationStrategy"]], "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy": [[92, 2, 1, "", "__call__"], [92, 3, 1, "", "meta"]], "smac.multi_objective.parego": [[93, 1, 1, "", "ParEGO"]], "smac.multi_objective.parego.ParEGO": [[93, 2, 1, "", "__call__"], [93, 3, 1, "", "meta"], [93, 2, 1, "", "update_on_iteration_start"]], "smac.random_design": [[94, 1, 1, "", "AbstractRandomDesign"], [94, 1, 1, "", "CosineAnnealingRandomDesign"], [94, 1, 1, "", "DynamicModulusRandomDesign"], [94, 1, 1, "", "DynamicProbabilityRandomDesign"], [94, 1, 1, "", "ModulusRandomDesign"], [94, 1, 1, "", "ProbabilityRandomDesign"], [95, 0, 0, "-", "abstract_random_design"], [96, 0, 0, "-", "annealing_design"], [97, 0, 0, "-", "modulus_design"], [98, 0, 0, "-", "probability_design"]], "smac.random_design.AbstractRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.CosineAnnealingRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.ModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.ProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.abstract_random_design": [[95, 1, 1, "", "AbstractRandomDesign"]], "smac.random_design.abstract_random_design.AbstractRandomDesign": [[95, 2, 1, "", "check"], [95, 3, 1, "", "meta"], [95, 2, 1, "", "next_iteration"]], "smac.random_design.annealing_design": [[96, 1, 1, "", "CosineAnnealingRandomDesign"]], "smac.random_design.annealing_design.CosineAnnealingRandomDesign": [[96, 2, 1, "", "check"], [96, 3, 1, "", "meta"], [96, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design": [[97, 1, 1, "", "DynamicModulusRandomDesign"], [97, 1, 1, "", "ModulusRandomDesign"]], "smac.random_design.modulus_design.DynamicModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"], [97, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design.ModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"]], "smac.random_design.probability_design": [[98, 1, 1, "", "DynamicProbabilityRandomDesign"], [98, 1, 1, "", "ProbabilityRandomDesign"]], "smac.random_design.probability_design.DynamicProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"], [98, 2, 1, "", "next_iteration"]], "smac.random_design.probability_design.ProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"]], "smac.runhistory": [[99, 1, 1, "", "InstanceSeedBudgetKey"], [99, 1, 1, "", "InstanceSeedKey"], [99, 1, 1, "", "RunHistory"], [99, 1, 1, "", "StatusType"], [99, 1, 1, "", "TrialInfo"], [99, 1, 1, "", "TrialKey"], [99, 1, 1, "", "TrialValue"], [100, 0, 0, "-", "dataclasses"], [101, 0, 0, "-", "encoder"], [111, 0, 0, "-", "enumerations"], [112, 0, 0, "-", "errors"], [113, 0, 0, "-", "runhistory"]], "smac.runhistory.InstanceSeedBudgetKey": [[99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.RunHistory": [[99, 2, 1, "", "__contains__"], [99, 2, 1, "", "__eq__"], [99, 2, 1, "", "__getitem__"], [99, 2, 1, "", "__iter__"], [99, 2, 1, "", "__len__"], [99, 2, 1, "", "add"], [99, 2, 1, "", "add_running_trial"], [99, 2, 1, "", "add_trial"], [99, 2, 1, "", "average_cost"], [99, 3, 1, "", "config_ids"], [99, 2, 1, "", "empty"], [99, 3, 1, "", "finished"], [99, 2, 1, "", "get_config"], [99, 2, 1, "", "get_config_id"], [99, 2, 1, "", "get_configs"], [99, 2, 1, "", "get_configs_per_budget"], [99, 2, 1, "", "get_cost"], [99, 2, 1, "", "get_instance_seed_budget_keys"], [99, 2, 1, "", "get_min_cost"], [99, 2, 1, "", "get_running_configs"], [99, 2, 1, "", "get_running_trials"], [99, 2, 1, "", "get_trials"], [99, 2, 1, "", "has_config"], [99, 3, 1, "", "ids_config"], [99, 2, 1, "", "incremental_update_cost"], [99, 2, 1, "", "load"], [99, 2, 1, "", "min_cost"], [99, 3, 1, "", "multi_objective_algorithm"], [99, 3, 1, "", "objective_bounds"], [99, 2, 1, "", "reset"], [99, 3, 1, "", "running"], [99, 2, 1, "", "save"], [99, 3, 1, "", "submitted"], [99, 2, 1, "", "sum_cost"], [99, 2, 1, "", "update"], [99, 2, 1, "", "update_cost"], [99, 2, 1, "", "update_costs"], [99, 2, 1, "", "update_from_json"]], "smac.runhistory.TrialInfo": [[99, 2, 1, "", "get_instance_seed_budget_key"], [99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses": [[100, 1, 1, "", "InstanceSeedBudgetKey"], [100, 1, 1, "", "InstanceSeedKey"], [100, 1, 1, "", "TrajectoryItem"], [100, 1, 1, "", "TrialInfo"], [100, 1, 1, "", "TrialKey"], [100, 1, 1, "", "TrialValue"]], "smac.runhistory.dataclasses.InstanceSeedBudgetKey": [[100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses.TrialInfo": [[100, 2, 1, "", "get_instance_seed_budget_key"], [100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.encoder": [[101, 1, 1, "", "AbstractRunHistoryEncoder"], [101, 1, 1, "", "RunHistoryEIPSEncoder"], [101, 1, 1, "", "RunHistoryEncoder"], [101, 1, 1, "", "RunHistoryInverseScaledEncoder"], [101, 1, 1, "", "RunHistoryLogEncoder"], [101, 1, 1, "", "RunHistoryLogScaledEncoder"], [101, 1, 1, "", "RunHistoryScaledEncoder"], [101, 1, 1, "", "RunHistorySqrtScaledEncoder"], [102, 0, 0, "-", "abstract_encoder"], [103, 0, 0, "-", "boing_encoder"], [104, 0, 0, "-", "eips_encoder"], [105, 0, 0, "-", "encoder"], [106, 0, 0, "-", "inverse_scaled_encoder"], [107, 0, 0, "-", "log_encoder"], [108, 0, 0, "-", "log_scaled_encoder"], [109, 0, 0, "-", "scaled_encoder"], [110, 0, 0, "-", "sqrt_scaled_encoder"]], "smac.runhistory.encoder.AbstractRunHistoryEncoder": [[101, 2, 1, "", "get_configurations"], [101, 3, 1, "", "meta"], [101, 3, 1, "", "multi_objective_algorithm"], [101, 3, 1, "", "runhistory"], [101, 2, 1, "", "transform"], [101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEIPSEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryInverseScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistorySqrtScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.abstract_encoder": [[102, 1, 1, "", "AbstractRunHistoryEncoder"]], "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder": [[102, 2, 1, "", "get_configurations"], [102, 3, 1, "", "meta"], [102, 3, 1, "", "multi_objective_algorithm"], [102, 3, 1, "", "runhistory"], [102, 2, 1, "", "transform"], [102, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.eips_encoder": [[104, 1, 1, "", "RunHistoryEIPSEncoder"]], "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder": [[104, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.encoder": [[105, 1, 1, "", "RunHistoryEncoder"]], "smac.runhistory.encoder.encoder.RunHistoryEncoder": [[105, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, 1, 1, "", "RunHistoryInverseScaledEncoder"]], "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder": [[106, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_encoder": [[107, 1, 1, "", "RunHistoryLogEncoder"]], "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder": [[107, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_scaled_encoder": [[108, 1, 1, "", "RunHistoryLogScaledEncoder"]], "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder": [[108, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.scaled_encoder": [[109, 1, 1, "", "RunHistoryScaledEncoder"]], "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder": [[109, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, 1, 1, "", "RunHistorySqrtScaledEncoder"]], "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder": [[110, 2, 1, "", "transform_response_values"]], "smac.runhistory.enumerations": [[111, 1, 1, "", "StatusType"]], "smac.runhistory.errors": [[112, 6, 1, "", "NotEvaluatedError"]], "smac.runhistory.runhistory": [[113, 1, 1, "", "RunHistory"]], "smac.runhistory.runhistory.RunHistory": [[113, 2, 1, "", "__contains__"], [113, 2, 1, "", "__eq__"], [113, 2, 1, "", "__getitem__"], [113, 2, 1, "", "__iter__"], [113, 2, 1, "", "__len__"], [113, 2, 1, "", "add"], [113, 2, 1, "", "add_running_trial"], [113, 2, 1, "", "add_trial"], [113, 2, 1, "", "average_cost"], [113, 3, 1, "", "config_ids"], [113, 2, 1, "", "empty"], [113, 3, 1, "", "finished"], [113, 2, 1, "", "get_config"], [113, 2, 1, "", "get_config_id"], [113, 2, 1, "", "get_configs"], [113, 2, 1, "", "get_configs_per_budget"], [113, 2, 1, "", "get_cost"], [113, 2, 1, "", "get_instance_seed_budget_keys"], [113, 2, 1, "", "get_min_cost"], [113, 2, 1, "", "get_running_configs"], [113, 2, 1, "", "get_running_trials"], [113, 2, 1, "", "get_trials"], [113, 2, 1, "", "has_config"], [113, 3, 1, "", "ids_config"], [113, 2, 1, "", "incremental_update_cost"], [113, 2, 1, "", "load"], [113, 2, 1, "", "min_cost"], [113, 3, 1, "", "multi_objective_algorithm"], [113, 3, 1, "", "objective_bounds"], [113, 2, 1, "", "reset"], [113, 3, 1, "", "running"], [113, 2, 1, "", "save"], [113, 3, 1, "", "submitted"], [113, 2, 1, "", "sum_cost"], [113, 2, 1, "", "update"], [113, 2, 1, "", "update_cost"], [113, 2, 1, "", "update_costs"], [113, 2, 1, "", "update_from_json"]], "smac.runner": [[114, 1, 1, "", "AbstractRunner"], [114, 1, 1, "", "DaskParallelRunner"], [114, 6, 1, "", "FirstRunCrashedException"], [114, 6, 1, "", "TargetAlgorithmAbortException"], [114, 1, 1, "", "TargetFunctionRunner"], [115, 0, 0, "-", "abstract_runner"], [116, 0, 0, "-", "abstract_serial_runner"], [117, 0, 0, "-", "dask_runner"], [118, 0, 0, "-", "exceptions"], [119, 0, 0, "-", "target_function_runner"], [120, 0, 0, "-", "target_function_script_runner"]], "smac.runner.AbstractRunner": [[114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"], [114, 2, 1, "", "run_wrapper"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.DaskParallelRunner": [[114, 2, 1, "", "__del__"], [114, 2, 1, "", "close"], [114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 2, 1, "", "run"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.TargetFunctionRunner": [[114, 2, 1, "", "__call__"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"]], "smac.runner.abstract_runner": [[115, 1, 1, "", "AbstractRunner"]], "smac.runner.abstract_runner.AbstractRunner": [[115, 2, 1, "", "count_available_workers"], [115, 2, 1, "", "is_running"], [115, 2, 1, "", "iter_results"], [115, 3, 1, "", "meta"], [115, 2, 1, "", "run"], [115, 2, 1, "", "run_wrapper"], [115, 2, 1, "", "submit_trial"], [115, 2, 1, "", "wait"]], "smac.runner.abstract_serial_runner": [[116, 1, 1, "", "AbstractSerialRunner"]], "smac.runner.abstract_serial_runner.AbstractSerialRunner": [[116, 2, 1, "", "count_available_workers"], [116, 2, 1, "", "is_running"], [116, 2, 1, "", "iter_results"], [116, 2, 1, "", "submit_trial"], [116, 2, 1, "", "wait"]], "smac.runner.dask_runner": [[117, 1, 1, "", "DaskParallelRunner"]], "smac.runner.dask_runner.DaskParallelRunner": [[117, 2, 1, "", "__del__"], [117, 2, 1, "", "close"], [117, 2, 1, "", "count_available_workers"], [117, 2, 1, "", "is_running"], [117, 2, 1, "", "iter_results"], [117, 2, 1, "", "run"], [117, 2, 1, "", "submit_trial"], [117, 2, 1, "", "wait"]], "smac.runner.exceptions": [[118, 6, 1, "", "FirstRunCrashedException"], [118, 6, 1, "", "TargetAlgorithmAbortException"]], "smac.runner.target_function_runner": [[119, 1, 1, "", "TargetFunctionRunner"]], "smac.runner.target_function_runner.TargetFunctionRunner": [[119, 2, 1, "", "__call__"], [119, 3, 1, "", "meta"], [119, 2, 1, "", "run"]], "smac.runner.target_function_script_runner": [[120, 1, 1, "", "TargetFunctionScriptRunner"]], "smac.runner.target_function_script_runner.TargetFunctionScriptRunner": [[120, 2, 1, "", "__call__"], [120, 3, 1, "", "meta"], [120, 2, 1, "", "run"]], "smac.scenario": [[121, 1, 1, "", "Scenario"]], "smac.scenario.Scenario": [[121, 2, 1, "", "__post_init__"], [121, 2, 1, "", "count_instance_features"], [121, 2, 1, "", "count_objectives"], [121, 2, 1, "", "load"], [121, 2, 1, "", "make_serializable"], [121, 3, 1, "", "meta"], [121, 2, 1, "", "save"]], "smac.utils": [[123, 0, 0, "-", "configspace"], [124, 0, 0, "-", "data_structures"], [125, 0, 0, "-", "logging"], [126, 0, 0, "-", "multi_objective"], [127, 0, 0, "-", "pareto_front"], [128, 0, 0, "-", "subspaces"]], "smac.utils.configspace": [[123, 5, 1, "", "convert_configurations_to_array"], [123, 5, 1, "", "get_conditional_hyperparameters"], [123, 5, 1, "", "get_config_hash"], [123, 5, 1, "", "get_types"], [123, 5, 1, "", "print_config_changes"]], "smac.utils.data_structures": [[124, 5, 1, "", "batch"], [124, 5, 1, "", "recursively_compare_dicts"]], "smac.utils.logging": [[125, 5, 1, "", "get_logger"], [125, 5, 1, "", "setup_logging"]], "smac.utils.multi_objective": [[126, 5, 1, "", "normalize_costs"]], "smac.utils.pareto_front": [[127, 5, 1, "", "calculate_pareto_front"], [127, 5, 1, "", "sort_by_crowding_distance"]], "smac.utils.subspaces": [[129, 0, 0, "-", "boing_subspace"], [130, 0, 0, "-", "turbo_subspace"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "property", "Python property"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "function", "Python function"], "6": ["py", "exception", "Python exception"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:property", "4": "py:attribute", "5": "py:function", "6": "py:exception"}, "terms": {"": [2, 3, 6, 7, 8, 10, 13, 14, 20, 32, 36, 37, 42, 43, 65, 68, 70, 78, 80, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "0": [2, 3, 4, 8, 13, 15, 16, 17, 18, 19, 20, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44, 45, 47, 48, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 113, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "00": [138, 143, 144, 147, 150, 152, 155], "000": 152, "00001": 140, "0001": [132, 139, 145], "001": [132, 139, 145], "001512079916069889": 135, "006249006102246613": 140, "01": [18, 120, 138, 155], "01360011100769043": 140, "01538581": 144, "0180713": 144, "01892602909315999": 139, "02": [143, 155], "02225936242649329": 139, "022fca": 144, "023777008056640625": 139, "03": [0, 138, 143, 155], "03135360777378082": 134, "03506499535747454": 136, "03534045": 145, "0368266105651855": 139, "03706781": 144, "038952336737852145": 136, "04": [0, 138, 144, 155], "05": [72, 73, 74, 75, 76, 77, 90, 93, 155], "07": [143, 155], "08": [86, 88, 147, 155], "08447232371720552": [42, 45], "08681291": 145, "0888": 154, "08dfd2": 141, "09": [131, 141], "0912": 6, "0919630453331843e": 141, "09616130553975616": 135, "0c9159": 145, "1": [0, 3, 4, 12, 13, 14, 19, 20, 24, 25, 26, 27, 30, 32, 34, 42, 45, 46, 47, 48, 57, 59, 61, 62, 64, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 79, 81, 85, 86, 88, 90, 91, 92, 93, 101, 104, 121, 123, 124, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 150, 154], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 68, 70, 86, 88, 131, 132, 133, 134, 135, 136, 139, 141, 144, 145, 154], "100": [2, 4, 7, 121, 131, 133, 134, 139, 140, 141, 144], "1000": [4, 42, 45, 131, 132, 148], "10000": [42, 47, 131, 141], "100000": [72, 73, 74, 75, 76, 77], "10116174": 144, "102": 16, "1048576": [42, 47, 86, 88], "107": 136, "10bb50": [131, 135], "11": [32, 34, 144], "1102": 134, "11051": 6, "11d305": 144, "12": [24, 29, 140, 141, 155], "120": 3, "121": 16, "1276c6": 144, "128": 136, "13155096": 144, "132": 16, "134": 132, "137256": 144, "1377ef": 144, "14": [132, 139], "140": [16, 132], "143b21": 144, "147": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "148": 132, "149": [134, 138, 155], "15": 140, "150": [139, 140, 141, 144], "151": 132, "15489347419148672": 140, "155": [145, 147, 155], "156": 145, "15606725": 144, "15696132": 145, "15dfc6": [131, 135], "16": [6, 42, 43, 45, 57, 61, 64, 136], "16305014": 145, "164": [139, 140, 141], "16536093": 145, "166": 141, "16660476": 145, "16916": 133, "16c6ab": 139, "175": [140, 143, 155], "17502786": 145, "18": [0, 141], "182": 139, "184825": 144, "186": 132, "19": [148, 150, 155], "190413": 144, "196": [136, 138, 155], "1997": [32, 34], "1_basic": [132, 134, 138, 155], "1_call_target_function_script": [148, 150, 155], "1_mlp_epoch": [139, 143, 155], "1_quadratic_funct": [131, 138, 155], "1_schaffer": [144, 147, 155], "1add8f": 131, "1c22be": 144, "1cfe87": 133, "1d30ce": 139, "1df92e": 144, "1e": [24, 29, 72, 73, 74, 75, 76, 77, 86, 88, 136], "1eac88": 144, "1ee992": 144, "1f3477": 144, "2": [0, 3, 7, 13, 24, 26, 32, 34, 35, 37, 42, 47, 57, 61, 86, 88, 94, 97, 131, 132, 133, 134, 136, 139, 140, 141, 144, 145, 147], "20": [0, 3, 20, 42, 44, 45, 47, 68, 78, 86, 88, 133, 134], "200": [4, 15, 134, 139, 140, 141, 145], "2000": [42, 44], "2015": [90, 93], "2017": [68, 70, 78, 80], "2021": [8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "2022": 154, "2023": 0, "203": 139, "209652396": 135, "20abef1ade71915352217400c11ece4c2f35163": 127, "21": 154, "21179260686039925": 134, "22": [136, 138, 155], "2204": 6, "222": 132, "22296595573425293": 145, "224": 135, "23": 154, "234": [131, 138, 155], "249": 141, "25": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 131, 135, 139, 148], "250": 140, "256": [136, 139, 145], "257bf2": 145, "259": 132, "2629": 141, "26694769": 144, "2682035": 145, "27": [140, 141], "279": 139, "27e052": 133, "28335488": 145, "287": 135, "28970257": 144, "28c9f9": 144, "29409325": 145, "2942cc": 144, "2_multi_fidel": [143, 155], "2_parego": [145, 147, 155], "2_sgd_dataset": [140, 143, 155], "2_svm_cv": [132, 138, 155], "2be60": 144, "2cb75c": 144, "2d": [146, 147, 151, 155], "2d8007": 131, "2da694": [131, 135], "2dc22a": 144, "2e6e80": 144, "3": [0, 1, 7, 9, 13, 15, 42, 44, 45, 46, 47, 48, 49, 57, 59, 60, 61, 62, 86, 88, 94, 97, 131, 132, 133, 134, 135, 136, 139, 140, 141, 143, 144, 145, 148, 154], "30": [20, 134, 139, 140, 145, 148], "300": [139, 140, 145], "3000": 144, "305": [131, 135, 141, 144, 148], "30847043171525": 134, "319": [131, 132, 133, 135, 139, 140, 141, 144], "323": [139, 140, 141], "325": [139, 140, 141], "327": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328b60": 141, "329": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "33": 138, "330": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "3301b5": 141, "3301f2": 144, "332": 135, "333333333333332": 139, "33571785": 144, "34": [140, 143, 145, 147, 155], "341": [32, 34], "350": 140, "353acf": 144, "359": [32, 34], "36": 143, "3623cc": 145, "36672856700711853": 139, "36aac3": 144, "373": 139, "381e14": 144, "38310a": 133, "38509904": 145, "39731087": 144, "3995": 6, "39d7fb": 144, "3_ask_and_tel": [133, 138, 155], "3_multi_object": [147, 155], "3_specify_hb_via_total_budget": [141, 143, 155], "3a": 6, "3b5efd": 145, "3dbce7": 145, "3df2e2": 144, "3e3235": 144, "3f4152": 144, "4": [1, 2, 13, 18, 42, 44, 57, 62, 120, 131, 133, 134, 136, 139, 140, 141, 144, 145], "40": [20, 134, 136, 140], "400": 140, "401148": 144, "4097ee": 144, "40ecfc": 144, "417": [148, 150, 155], "42": 147, "425": 155, "426c34": 144, "427430": 144, "4380b1": [131, 135], "4431ec": 144, "44981": 139, "44c9c5": 144, "45": [16, 140], "450": 140, "4521": 140, "4522": [24, 28], "45798979": 145, "45fd01": 144, "4655": 132, "465623793958126": 134, "4687bd": 144, "47e5f6": 144, "48": 16, "4891db": 144, "497": 135, "4_callback": [134, 138, 155], "4a175d": 131, "4ba1ca": 132, "4ba6ad": 144, "4e3320": 133, "5": [3, 4, 13, 18, 32, 36, 42, 44, 47, 72, 75, 86, 88, 101, 102, 104, 105, 107, 108, 109, 114, 117, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 154], "50": [3, 13, 20, 42, 45, 47, 48, 50, 51, 68, 78, 131, 132, 133, 134, 135, 139, 140, 141, 144], "500": [3, 139, 141, 148], "5000": [32, 33, 34, 36, 37, 38, 140], "501a6b": 144, "505": 13, "5097d0": 139, "50b29b": 144, "512": 136, "515": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "51851851851852": 141, "51922763": 144, "520": [132, 138, 155], "52ad27": 144, "53144c": 133, "5323": [18, 120], "536": [139, 143, 155], "53c9bc": 144, "54": [139, 143, 154, 155], "540db2": 145, "5471814": 144, "55": 141, "55555555555555": 141, "558": 6, "56337726": 145, "568877": 148, "57": [132, 134], "572": [144, 147, 155], "57585333": 144, "58": 132, "582": [135, 138, 155], "58831296": 144, "58c3ff": 133, "59": 16, "591306": 144, "594": [131, 133, 135, 136, 139, 140, 141, 145, 148], "59746979e": 144, "598f3b": 139, "5_commandlin": [150, 155], "5_continu": [135, 138, 155], "5afac4": 141, "5b27dc": 144, "5b688c": 141, "5beafa": 148, "5d4ba2": 144, "5dcf41": 144, "5efb80": 144, "5f1f97": 144, "6": [16, 42, 44, 47, 86, 88, 123, 138, 140, 141, 144, 145], "60": [136, 139], "60155834": 145, "602": [144, 145], "612": 138, "61206b": 144, "61be50": 144, "627": 144, "6296296296296": 141, "631e51": 144, "636811": 144, "64": [0, 1, 32, 37], "65": 16, "659942": 144, "65debb": 144, "663b3d": 144, "66666666666666": 141, "6666666666666665": 140, "669": 143, "6718e9": 144, "6764193577937531": 133, "67ed09": 144, "67f6e7": 144, "68075279": 144, "68f8e1": 144, "69": 141, "6_prior": [136, 138, 155], "6a2c79": [131, 135], "6a6aa0": 133, "6acb23": 136, "7": [13, 66, 67, 68, 69, 70, 78, 86, 88, 89, 141, 144, 148], "7011175854063811e": 131, "7268bc": 144, "727": 147, "73b5b196b35fb23e1f908d73b787c2c2942fadb5": 6, "74": 145, "74709967": 144, "75": 13, "75dedd": 144, "7777777777777777": 139, "786a51": 144, "7870ec": 148, "7877872130716": 134, "78cd53": 144, "795280": 144, "7a1d9c": 141, "7c9235": 144, "7cadd3": 141, "7cf354": 144, "7d4910": 144, "7ec7f": 136, "7edcd1": 144, "7ef5b0": 144, "7f755d": 144, "8": [1, 3, 12, 13, 42, 43, 45, 57, 62, 64, 86, 88, 132, 136, 139, 144, 145, 148, 154], "802816901408451": 141, "8035c4": 141, "812224": 140, "814da4": 144, "81ee7b": 144, "82": 139, "8333333333333334": [42, 44, 86, 88], "850f72": 144, "85f0af": 144, "860188": 144, "86457c": 145, "87600685": 144, "8787": 139, "884840": 140, "88bb69": 148, "892676": 144, "894517": 144, "89e67c": 144, "8ac7b9": 144, "8b3403": 131, "8d6767": 131, "8d742e": 144, "9": [1, 32, 34, 139, 140, 141, 144, 154], "90": 133, "902c13": 144, "90371158": 144, "90e199": 144, "91bfd9": 144, "91ea8c": 139, "922896": 144, "931": [133, 138, 155], "932722": 144, "938c0d": 139, "94960333e": 144, "94ea8a": 144, "95": 148, "958": [141, 143, 155], "970": 132, "989599": 144, "99": 16, "9968221839517355": 134, "9999": [131, 141], "999999": 134, "9a770c": 133, "9c6906": 144, "9d0513": 139, "9d232c": 144, "9f0e84": 144, "9f5b5b": 131, "A": [3, 6, 7, 9, 24, 29, 32, 36, 64, 68, 70, 78, 80, 90, 91, 92, 93, 114, 115, 116, 117, 119, 120, 135, 144, 152, 154], "And": [135, 136], "As": [12, 24, 25, 116, 135, 136], "But": [3, 140], "By": [2, 139], "FOR": 9, "For": [0, 3, 7, 8, 13, 15, 16, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 72, 73, 114, 115, 116, 117, 119, 121, 139, 154], "IN": 141, "If": [0, 1, 3, 8, 9, 10, 13, 17, 18, 19, 22, 24, 29, 32, 33, 42, 43, 47, 49, 57, 58, 61, 62, 64, 65, 66, 68, 72, 73, 78, 85, 86, 88, 94, 97, 99, 101, 102, 113, 114, 117, 120, 121, 125, 126, 132, 140, 141, 154], "In": [0, 3, 7, 12, 13, 14, 15, 16, 18, 19, 22, 32, 33, 42, 43, 57, 58, 62, 65, 68, 70, 78, 79, 80, 84, 99, 100, 113, 114, 115, 116, 117, 119, 121, 134, 135, 139, 140, 141, 144, 145, 154], "It": [2, 7, 13, 17, 57, 58, 64, 86, 88, 114, 117, 132, 133], "Its": 154, "No": [6, 21, 42, 46, 48, 57, 62], "Not": 3, "On": [21, 72, 73, 114, 115, 116, 117, 142, 143, 151, 155], "Or": [1, 15], "That": [13, 14, 42, 47], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 84, 85, 86, 88, 94, 95, 97, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 127, 131, 133, 139, 144, 145, 154], "Then": 132, "There": [57, 58], "These": [13, 136], "To": [1, 8, 10, 13, 16, 114, 117, 135, 136, 139], "Will": [114, 117], "With": [42, 43], "_": [133, 140], "__call__": [24, 25, 72, 73, 90, 91, 92, 93, 114, 119, 120, 132], "__class__": 139, "__contains__": [99, 113, 132], "__copyright__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__del__": [114, 117], "__eq__": [99, 113], "__future__": [134, 135, 140, 141, 144, 145], "__getitem__": [99, 113], "__init__": [134, 135, 140], "__iter__": [57, 58, 61, 64, 99, 113], "__len__": [99, 113], "__license__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__main__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__name__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__post_init__": [57, 58, 62, 121], "_acquisition_funct": [24, 28], "_beta": [24, 26], "_call": [72, 73], "_challeng": [32, 33], "_cost_per_config": [99, 113], "_data": 140, "_eta": [24, 27, 28], "_function": [24, 28], "_get_gradi": [79, 80, 84], "_get_log_prob": [79, 80, 84], "_log": [24, 27], "_max_incumb": [57, 58], "_maxim": [32, 33], "_num_data": [24, 26], "_num_trials_per_config": [99, 113], "_predict": [66, 67], "_probabl": [94, 96], "_results_queu": [114, 115, 116, 117], "_sample_from_prior": 80, "_select_configur": [50, 51], "_stop_aft": 135, "_tf_instanc": [57, 58], "_tf_seed": [57, 58], "_train": [66, 67], "_updat": [24, 25], "_xi": [24, 27], "a028a8": 131, "a21384": 144, "a34626": [131, 135], "a7b2c5": 144, "a840bc": 133, "a8a5e7": 144, "a96569": 144, "aa0986": 144, "ab179": 144, "abc": [90, 91, 114, 115], "abil": 13, "abl": [21, 114, 115, 132], "abort": [114, 118, 135], "about": [8, 12, 13, 57, 60, 61, 65, 72, 73, 99, 100, 114, 115, 132, 136], "abov": 19, "absolut": [42, 48], "abstract": [24, 25, 32, 33, 42, 43, 57, 58, 66, 67, 68, 69, 80, 86, 87, 90, 91, 94, 95, 101, 102, 114, 115, 117], "abstract_facad": [139, 145], "abstract_initial_design": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_intensifi": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_runn": 132, "abstractacquisitionfunct": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 49], "abstractacquisitionmaxim": [32, 33, 34, 36, 37, 38, 42, 43], "abstractfacad": [42, 43, 44, 45, 47, 49, 139, 144, 145], "abstractgaussianprocess": [68, 69, 70, 78], "abstractinitialdesign": [42, 43, 50, 51, 52, 53, 54, 55, 56], "abstractintensifi": [42, 43, 57, 58, 61, 62, 65], "abstractkernel": [72, 73, 74, 75, 76, 77], "abstractmodel": [24, 25, 29, 42, 43, 66, 67, 68, 69, 85, 86, 87, 89], "abstractmultiobjectivealgorithm": [42, 43, 90, 91, 92, 93, 99, 101, 102, 113], "abstractprior": [72, 73, 79, 80, 81, 82, 83, 84], "abstractrandomdesign": [32, 33, 35, 42, 43, 49, 94, 95, 96, 97, 98], "abstractrandomforest": [86, 87, 88], "abstractrunhistoryencod": [42, 43, 101, 102, 104, 105], "abstractrunn": [42, 43, 65, 114, 115, 116, 117], "abstractserialrunn": [114, 116, 119, 120], "ac": [90, 93], "accept": [3, 42, 49, 139], "access": [72, 73], "accord": [32, 34, 36, 94, 96, 98], "accordingli": [99, 113, 136], "account": [86, 88, 101, 102, 139], "accuraci": [2, 3, 19, 136, 139, 145], "acfacad": 3, "achiev": [1, 3], "acquisit": [3, 6, 15, 22, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 78, 101, 104, 136], "acquisition_funct": [24, 26, 28, 29, 31, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 65, 136], "acquisition_maxim": [42, 43, 44, 45, 46, 47, 48, 49], "acqusit": [24, 25], "across": [2, 7, 22, 42, 43, 46, 48, 57, 62, 65, 99, 113, 114, 115, 117, 119, 140], "act": [132, 134], "activ": [1, 8, 72, 73, 114, 117, 136, 139, 145], "actual": [68, 78, 114, 115], "ad": [1, 13, 39, 40, 57, 58, 61, 62, 72, 73, 99, 113, 123, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "ad8450": 133, "adam": [136, 139, 145], "adapt": [7, 80, 139, 140, 145], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 61, 62, 65, 99, 113, 132, 136, 139, 140, 145], "add_condit": [132, 139, 145], "add_hyperparamet": [131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "add_running_tri": [99, 113], "add_trial": [99, 113], "addit": [13, 19, 21, 24, 25, 42, 44, 45, 47, 48, 49, 50, 51, 57, 58, 99, 113, 114, 115, 117, 119, 120, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "addition": [3, 16, 101, 102], "additional_config": [42, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 136], "additional_info": [13, 18, 99, 100, 113, 114, 115, 117, 119, 120], "adjust": [94, 97], "advanc": 19, "advantag": 139, "afefef": 144, "affect": [10, 42, 45, 47, 48, 50, 51, 57, 58], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 62, 64, 65, 94, 97, 133, 134, 135, 139, 145], "afterward": [13, 57, 61], "again": [13, 19, 42, 48, 57, 58, 64, 135], "against": [7, 8, 42, 48, 57, 58, 61], "aggreg": [2, 15, 42, 44, 45, 47, 49, 90, 92], "aggress": [42, 46, 49, 139, 154], "agnost": 2, "aka": [114, 115, 117], "al": [8, 24, 28, 29, 68, 78], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 99, 101, 102, 113, 114, 115, 119, 120, 127, 132, 140, 154], "algorithm_kwarg": [114, 119, 120, 132], "algorithmconfigurationfacad": [3, 42, 44], "all": [3, 7, 13, 15, 17, 18, 19, 20, 22, 24, 29, 32, 36, 42, 43, 46, 48, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 72, 73, 80, 85, 86, 87, 88, 99, 101, 102, 113, 114, 115, 116, 117, 118, 119, 120, 121, 125, 131, 132, 133, 136, 139, 140, 141, 144, 151, 155], "alloc": [114, 117, 139], "allow": [24, 29, 57, 58, 121], "along": [9, 66, 67], "alpha": [131, 136, 140, 141, 144], "alreadi": [8, 13, 24, 25, 57, 61, 64, 65, 99, 113, 133, 135, 139], "also": [2, 3, 7, 8, 13, 14, 18, 19, 21, 32, 33, 57, 58, 68, 78, 99, 113, 114, 115, 117, 120, 126, 132, 135, 136, 139, 145], "altern": [1, 15, 132, 140], "although": [13, 57, 58], "alwai": [3, 8, 13, 57, 58, 62, 133], "amend": [57, 58], "among": [114, 115], "amount": [57, 58, 61, 94, 97, 114, 117], "an": [0, 1, 2, 3, 7, 8, 13, 14, 15, 17, 18, 21, 24, 25, 32, 33, 35, 39, 40, 42, 43, 44, 45, 47, 49, 57, 58, 61, 68, 78, 90, 92, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 118, 119, 120, 124, 125, 131, 132, 136, 137, 138, 139, 140, 145, 151, 154, 155], "anaconda": [0, 8], "anaconda3": 0, "andr\u00e9": 154, "ani": [0, 1, 2, 7, 8, 9, 10, 13, 20, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 135, 136, 141, 148], "anneal": [13, 94, 96], "annot": [134, 135, 140, 141, 144, 145], "anoth": [7, 13, 99, 113], "any_budget": [42, 46, 48, 57, 62], "anymor": 21, "anyoptim": 127, "anyth": [18, 72, 73], "append": [65, 101, 102, 139], "appli": [12, 66, 67, 80, 131], "applic": [8, 14], "approach": [6, 42, 49], "approxim": [6, 13], "apt": [0, 1], "ar": [0, 2, 3, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 27, 32, 35, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "arbitrari": [2, 3, 114, 115, 117, 119, 120, 133, 154], "area": [32, 34], "arg": [50, 56, 86, 87, 101, 106, 110], "argsort": 145, "argument": [3, 13, 14, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 65, 72, 73, 114, 115, 117, 119, 120, 121, 140, 145, 148], "around": [114, 115], "arrai": [72, 73, 145], "articl": 154, "artifici": [2, 135], "artur": 6, "arxiv": 6, "ask": [10, 13, 22, 39, 40, 42, 43, 65, 137, 138, 151, 155], "assert": [133, 134, 135, 139], "associ": [13, 19, 65, 121], "assum": [7, 8, 42, 43, 57, 58, 114, 118], "assumpt": [86, 88], "attach": [42, 43, 114, 117], "attempt": 21, "attent": 13, "attribut": [24, 25], "augment": [6, 7, 16, 24, 29], "author": 154, "auto": 132, "automat": [10, 22, 42, 43, 114, 117], "automl": [0, 1, 8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "avail": [13, 18, 42, 48, 57, 58, 114, 115, 116, 117, 144], "averag": [19, 42, 43, 44, 45, 47, 49, 65, 90, 92, 99, 113, 139, 145], "average_cost": [13, 19, 99, 113, 145], "average_pareto_cost": 145, "average_sampl": [68, 78], "avoid": [24, 29], "awar": 2, "axi": 132, "b": [57, 58, 132], "b03e1a": 144, "b10fe9": 144, "b19632": 144, "b2d235": 144, "b3f935": 141, "b61b81": 139, "b636c9": 145, "b6e2c1": 144, "b6f791": 144, "b9cbc7": 141, "b9f3bd": [131, 135], "ba9a35": 141, "back": [2, 13], "backend": [42, 43], "balanc": [24, 26, 27, 30, 42, 44, 45, 47], "bandit": [6, 7], "base": [6, 7, 8, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 126, 132, 140, 154], "baserunn": [114, 117], "bash": [0, 18, 148], "basi": 127, "basic": [13, 15, 42, 44, 45, 47, 49, 57, 58, 61, 133], "batch": [57, 62, 124, 136, 139], "batch_siz": [136, 139, 145], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 65, 68, 70, 78, 80, 94, 97, 134, 154], "bb": 7, "bb0bce": 144, "bb24df": 144, "bbfacad": 3, "bd5027": 144, "bdbb31": 141, "be5418": 144, "bec0fc": [131, 135], "becaus": [12, 13, 21, 72, 73, 99, 113, 114, 115, 118, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "been": [0, 1, 2, 8, 13, 17, 19, 21, 57, 58, 62, 64, 99, 100, 113, 114, 115, 116, 117, 133], "befor": [8, 13, 21, 24, 25, 32, 36, 37, 39, 40, 41, 42, 43, 47, 64, 65, 68, 78, 94, 97, 114, 115, 116, 117, 135, 139, 145], "beforehand": [13, 136, 141], "begin": [32, 36, 94, 95, 97], "behav": [8, 24, 29], "behavior": 10, "behaviour": [10, 20, 42, 43, 57, 58, 61, 62, 65], "behind": [3, 13], "being": [2, 7, 72, 73, 114, 119], "belief": [6, 24, 29, 136], "believ": 136, "below": 19, "benchmark": [121, 132], "benjamin": 154, "best": [3, 4, 7, 13, 24, 26, 27, 32, 36, 42, 43, 46, 48, 49, 57, 62, 65, 131, 132, 133, 134, 135, 140, 141, 145, 148], "beta": [24, 26, 136], "beta_t": [24, 26], "betaintegerhyperparamet": 136, "better": [3, 12, 13, 42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148, 154], "between": [24, 26, 27, 30, 42, 44, 45, 47, 65, 66, 67, 86, 88, 101, 106, 108, 109, 110], "bf189c": 144, "bham": [90, 93], "biedenkapp": 154, "big": [42, 43, 65, 114, 115, 117, 119], "bin": [0, 18, 24, 29, 148], "binari": 140, "binder": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "black": [2, 3, 7, 131], "blackboxfacad": [3, 18, 42, 45, 148], "blob": 127, "blue": [131, 141, 144], "bo": [7, 42, 43], "bohb": [3, 7, 8, 139], "bool": [13, 24, 27, 29, 39, 40, 42, 43, 44, 47, 57, 58, 61, 62, 65, 68, 70, 72, 73, 78, 86, 88, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 134, 135], "boolean": [72, 73], "bootstrap": [21, 42, 44, 47, 86, 88], "both": [2, 3, 14, 15, 57, 58, 64, 116, 139, 145], "botorch": 2, "bound": [13, 24, 26, 79, 84, 99, 113, 123, 126, 145], "box": [2, 3, 7, 131], "bracket": [42, 46, 48, 57, 59, 62, 139, 140, 141], "bridg": [114, 117], "brown": 154, "browser": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "bsd": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "budget": [2, 3, 7, 13, 14, 17, 18, 19, 42, 43, 44, 46, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "budget_exhaust": 65, "budget_subset": [99, 101, 102, 113], "budget_us": 60, "budgets_in_stag": 60, "bug": 8, "build": [0, 1, 132, 136, 139, 140], "bunch": 13, "burn": [68, 78], "burning_step": [68, 78], "c": [3, 4, 90, 93, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "c13402": 144, "c1d379": 144, "c20683": 144, "c22923": 144, "c284f2": 144, "c287f1": 144, "c31df1": 144, "c4bc7d": 144, "c714f5": [131, 135], "c7846c": 144, "c7a507": 144, "cabaca": 131, "cach": [99, 113], "cacul": 60, "calcul": [13, 17, 24, 25, 99, 113, 131, 132, 133, 136, 139, 141, 148], "calculate_pareto_front": [57, 58, 127], "call": [7, 13, 17, 22, 24, 25, 32, 33, 37, 39, 40, 41, 42, 43, 49, 50, 51, 57, 58, 65, 66, 67, 72, 73, 74, 79, 80, 84, 89, 114, 115, 116, 117, 119, 120, 124, 132, 133, 135, 136, 149, 150, 151, 155], "callabl": [13, 35, 42, 43, 114, 119, 120], "callback": [22, 35, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 65, 135, 137, 138, 151, 155], "can": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 31, 32, 33, 34, 36, 37, 42, 43, 46, 48, 57, 58, 62, 65, 68, 78, 99, 113, 114, 115, 116, 117, 119, 121, 125, 132, 133, 135, 136, 139, 144, 145, 149, 151, 154], "cancel_command": 21, "candid": [32, 34, 38], "cannot": [8, 21], "canon": [79, 81], "capabl": [2, 114, 117], "care": [8, 13, 42, 43], "carl": [6, 24, 29], "carlo": [7, 68, 78], "carolin": 154, "case": [0, 1, 2, 3, 13, 14, 15, 17, 21, 24, 29, 32, 36, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 64, 65, 99, 100, 113, 114, 115, 116, 117, 121, 135, 140, 151], "cat": 3, "catch_warn": [136, 139, 140, 145], "categor": [2, 3, 32, 36, 42, 45, 132, 136, 139, 140, 145], "categori": 136, "categoricalhyperparamet": 136, "cc": [24, 28], "cd": [0, 1], "cdd1aa": 141, "cdf": [24, 30], "ce39dc": 136, "ce6578": 141, "ce9ad7": 144, "ceil": [139, 145], "center": 136, "certain": 22, "chain": [7, 68, 78], "chain_length": [68, 78], "challeng": [13, 32, 33, 34, 35, 36, 37, 38, 42, 43, 45, 47, 57, 58, 61, 94, 95, 114, 115, 123], "challenger_callback": 35, "challengerlist": [13, 32, 33, 35], "chanc": 13, "chang": [0, 1, 3, 10, 13, 20, 57, 58, 62, 72, 73, 99, 113, 132, 136], "channel": 1, "channel_prior": 1, "chapter": [7, 22], "char": 123, "characterist": 2, "check": [0, 1, 13, 57, 58, 64, 65, 94, 95, 96, 97, 98, 99, 113, 114, 115, 121, 135], "child": [8, 21, 50, 51, 114, 115, 132, 139, 145], "chmod": 18, "choic": 139, "choos": [42, 45, 68, 78, 139], "chosen": [42, 45, 139, 151], "chunk": 124, "circumv": [32, 36], "cite": 154, "class": [13, 15, 20, 24, 32, 39, 42, 50, 57, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "classa": 140, "classb": 140, "classifi": [4, 132, 136, 139, 140, 145], "claus": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "clf": 140, "cli": 7, "client": [21, 42, 43, 114, 117], "clone": 1, "close": [42, 43, 114, 117], "closest": [3, 8, 139], "closur": 35, "cluster": [22, 42, 43, 114, 117, 139], "code": [4, 8, 10, 13, 18, 19, 32, 36, 57, 58, 68, 70, 78, 79, 84, 114, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151], "coef": 132, "coef0": 132, "colab": 8, "collect": [13, 72, 73, 74, 114, 115, 117], "com": [0, 1, 127, 154], "combin": [7, 42, 43, 57, 58, 65, 90, 91, 92, 93, 99, 113, 114, 115, 117, 121, 132, 139, 140, 154], "come": [19, 114, 117], "comma": [18, 120], "command": [0, 1, 2, 7, 21, 22], "commandlin": 2, "common": [0, 3, 114, 115, 117, 136], "commun": [12, 133], "communc": 21, "compar": [7, 13, 19, 42, 46, 49, 57, 58, 62, 123, 124, 127, 139], "comparison": [8, 42, 48, 57, 58], "compil": 8, "complet": [10, 13, 19, 42, 43, 60, 65, 114, 115, 116, 117], "complex": [2, 13, 22, 114, 115], "compli": [114, 117], "compon": [3, 18, 22, 42, 43, 44, 64, 66, 67, 68, 69, 70, 78, 86, 88, 135], "composit": [42, 45], "compromis": 7, "comput": [13, 24, 25, 26, 28, 79, 80, 84, 99, 113, 127], "concret": [32, 33, 66, 67], "conda": 0, "condit": [2, 72, 73, 123, 132, 139, 140, 145], "conduct": 136, "confer": 154, "confid": [13, 24, 26, 42, 49], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 61, 62, 64, 65, 99, 100, 111, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "config_copi": 132, "config_dict": 132, "config_gener": [13, 57, 58], "config_id": [99, 100, 113, 131, 139, 141], "config_instance_seed_budget_kei": 127, "config_selector": [13, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58], "configs_arrai": [101, 102], "configselector": [12, 13, 42, 43, 45, 57, 58, 64], "configspac": [3, 4, 32, 33, 34, 35, 36, 37, 38, 66, 67, 68, 69, 70, 78, 86, 88, 89, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 62, 64, 65, 79, 80, 84, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "configurationspac": [2, 3, 4, 32, 33, 35, 36, 37, 66, 67, 68, 69, 70, 78, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "consequ": 2, "consid": [13, 17, 19, 21, 42, 44, 47, 49, 57, 58, 86, 88, 99, 101, 102, 113, 116, 139, 140, 145], "considered_st": [13, 101, 102, 104, 105, 107, 108, 109], "consist": [10, 24, 31, 32, 33, 42, 43, 136, 139, 140, 145, 154], "consol": 20, "constant": [24, 29, 32, 36, 94, 97, 139, 140, 145], "constant_valu": [72, 73], "constant_value_bound": [72, 73], "constantkernel": [72, 73], "constraint": [121, 140], "construct": [3, 114, 117], "consum": [114, 115], "contain": [15, 42, 43, 65, 72, 73, 99, 113, 114, 115, 116, 117, 127], "content": 148, "context": [7, 121], "contin": [24, 29], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 61, 62, 64, 99, 113, 132, 133, 136, 137, 138, 139, 144, 151, 154, 155], "contrast": 3, "contribut": [8, 154], "control": [10, 24, 26, 27, 30, 42, 44, 45, 46, 47, 48, 57, 58, 60, 62], "convent": [32, 34], "convergencewarn": 136, "convert_configurations_to_arrai": 123, "copi": [9, 24, 28, 57, 58], "copyright": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "core": [0, 3, 12, 42, 43, 65, 114, 115, 117, 119, 154], "corner": [13, 50, 53], "correctli": 21, "correspond": [66, 67, 79, 81, 126, 135], "cosin": [94, 96], "cosineannealingrandomdesign": [94, 96], "cost": [7, 13, 15, 16, 18, 22, 42, 43, 47, 57, 58, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "costs_i": 145, "costs_x": 145, "could": [3, 8, 13, 18, 114, 118, 121, 140], "count": [17, 121], "count_available_work": [114, 115, 116, 117], "count_instance_featur": 121, "count_object": 121, "counterproduct": 21, "covari": [66, 67], "covariance_typ": [66, 67], "cover": [42, 45, 47, 48, 50, 51], "cpu": [11, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "cputim": 65, "cputime_limit": 121, "crash": [8, 101, 102, 114, 118, 132], "crash_cost": 121, "creat": [0, 1, 8, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 117, 119, 120, 132, 135, 136, 139, 140, 145], "criteria": 22, "critic": 20, "cross": [2, 7, 121, 136, 137, 138, 139, 140, 145, 151, 155], "cross_val_scor": [4, 132, 136, 139, 140, 145], "crowd": [57, 58, 127, 144], "crucial": [3, 20, 42, 48, 57, 58, 139], "cryptic": 8, "curl": 0, "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 42, 43, 49, 57, 58, 59, 61, 62, 65, 68, 70, 94, 98, 99, 100, 101, 102, 113, 134], "custom": [15, 21, 22, 42, 43, 125, 135, 137, 138, 151, 155], "customcallback": [13, 134], "customiz": 20, "cut": [18, 57, 58, 148], "cv": [4, 7, 132, 136, 139, 140, 145], "d": [0, 18, 20, 24, 26, 148], "d0": 16, "d1": [16, 124], "d2": [16, 124], "d25f7e": 144, "d3": 16, "d4": 16, "d4166e": 144, "d5d1f3": 144, "d645c9": 144, "d7ecca": [131, 135], "da5bdf": 133, "danni": 6, "dask": [21, 42, 43, 114, 117, 119, 121], "dask_client": [42, 43, 44, 45, 46, 47, 48, 49, 114, 117], "dask_data_to_scatt": [114, 115, 117, 119], "dask_runn": [42, 43], "daskparallelrunn": [114, 117], "data": [3, 4, 7, 10, 13, 14, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 44, 47, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 148], "data_to_scatt": [42, 43, 65], "dataclass": 133, "dataset": [2, 4, 7, 16, 42, 43, 65, 114, 115, 117, 119, 121, 132, 136, 139, 142, 143, 145, 151, 155], "db0045": 144, "dc0cd8": 144, "dc55be": 144, "dc7dee": 144, "ddd02b": 144, "de": [42, 43, 65, 114, 115, 117, 119], "deactiv": 139, "debug": [20, 42, 43], "decai": [24, 29], "decay_beta": [24, 29, 136], "decid": [13, 42, 43, 65, 114, 115, 154], "decis": [114, 115, 116, 117], "declar": [18, 72, 73, 148], "decoupl": 13, "decreas": [94, 96, 97, 98], "deep": [3, 72, 73, 139], "def": [3, 4, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "default": [3, 8, 13, 14, 15, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 92, 93, 94, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "default_config": 136, "default_cost": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "default_valu": 136, "defaultinitialdesign": [42, 44, 49, 50, 52], "defaut": [32, 36], "defin": [3, 16, 19, 24, 29, 32, 33, 36, 42, 43, 65, 80, 99, 111, 114, 115, 121, 132, 133, 136, 139, 140, 145], "degre": 132, "delet": [114, 117], "deng": 154, "densiti": [24, 29], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 32, 33, 42, 45, 66, 67, 90, 91, 114, 118, 121, 132], "deprecationwarn": [132, 134], "depth": [42, 44, 47, 86, 88, 132], "deriv": [10, 135, 136], "desalvo": 6, "descent": [142, 143, 151, 155], "describ": [42, 43, 65], "descript": 8, "design": [3, 6, 7, 22, 32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 64, 94, 95, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "detail": [1, 3, 7, 24, 28, 29, 32, 33, 42, 48, 139], "determin": [2, 8, 14, 42, 43, 57, 58, 60, 68, 72, 73, 78, 116], "determine_hb": 60, "determine_hyperband_for_multifidel": 60, "determinist": [4, 8, 121, 131, 133, 135, 141, 144, 148], "dev": 1, "devdoc": [50, 56], "develop": [57, 58, 154], "deviat": [66, 67, 79, 83, 136], "df326a": 131, "diagon": [66, 67], "dict": [24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 124, 132, 134, 140, 144, 145], "dictat": [114, 115, 117], "dictionari": [15, 99, 113, 124, 132, 134], "did": [3, 10], "difan": 154, "diff": 124, "diff_b_a": 132, "differ": [3, 7, 8, 13, 16, 17, 18, 39, 40, 42, 43, 57, 58, 86, 88, 90, 91, 114, 115, 121, 123, 124, 136, 139, 140, 145], "differenti": [13, 32, 34], "differentialevolut": [32, 34], "differentialevolutionsolv": [32, 34], "digit": [136, 139, 140, 145], "digitsdataset": 140, "dimens": [24, 26, 66, 67, 132, 133], "dimension": [2, 13, 42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 133], "directli": [1, 3, 13, 14, 15, 18, 114, 119], "directori": [8, 65, 121], "disabl": [2, 20, 42, 45, 47, 48, 50, 51, 134], "disable_existing_logg": 20, "discard": [2, 42, 46, 48, 57, 60, 62], "discov": 8, "discrep": 13, "discret": [24, 29, 136], "discrete_bins_factor": [24, 29], "discuss": [8, 22], "disk": [99, 113], "displai": 20, "distanc": [57, 58, 101, 102, 127, 144], "distribut": [9, 13, 42, 43, 65, 79, 81, 83, 86, 88, 114, 115, 117, 119, 139], "dive": [3, 13], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 65, 114, 115, 117, 119, 135, 136, 148], "doc": [50, 54], "docstr": [99, 113], "document": [1, 3, 32, 34, 57, 59], "doe": [7, 8, 20, 21, 24, 31, 32, 34, 35, 65, 94, 97, 99, 113, 114, 117], "dog": 3, "domain": 133, "don": [3, 8, 135], "done": [18, 21, 42, 43, 57, 61, 114, 115, 116, 117, 148], "down": 135, "download": [0, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "drastic": 13, "drawn": [42, 43, 44, 45, 47, 68, 70, 80, 94, 98], "drive": 0, "due": [21, 32, 34, 140], "dummi": [42, 49, 141], "dump": 0, "dure": [8, 13, 32, 33, 36, 37, 42, 43, 49, 65, 86, 88], "dynam": [114, 117], "dynamicmodulusrandomdesign": [94, 97], "dynamicprobabilityrandomdesign": [94, 98], "e": [0, 1, 2, 7, 12, 13, 15, 18, 21, 24, 27, 42, 46, 48, 57, 62, 64, 79, 81, 114, 115, 140], "e06ac3": 144, "e149e": 144, "e19804": 144, "e1dc2b": 131, "e4c3a3": 144, "e4deb": 144, "e501": [101, 102], "e50a55": 131, "e591ad": 144, "e5c425": 140, "e66a0": 131, "e6c407": 144, "e8a37c": 144, "e9336a": 145, "e990dd": 144, "each": [0, 1, 7, 13, 14, 16, 19, 24, 29, 32, 35, 37, 42, 43, 46, 48, 57, 58, 60, 62, 64, 65, 68, 70, 78, 90, 91, 93, 94, 98, 99, 113, 114, 117, 121, 145], "earli": [2, 42, 49], "early_stop": 140, "easi": 3, "easieast": 134, "easiest": 20, "easili": [13, 121], "eb4be3": 144, "echo": [18, 120, 148], "ed19a5": 144, "ed629c": 144, "educ": 136, "eed864": 144, "effici": [2, 3, 12, 32, 34, 57, 58, 99, 113, 154], "eggensperg": 154, "ei": [24, 25, 27, 42, 44, 45, 47], "eight": 3, "eip": [24, 27, 101, 104], "either": [1, 3, 8, 42, 43, 68, 78, 99, 113, 114, 119], "elasticnet": 140, "element": [114, 119], "els": [18, 20, 132, 141, 145], "embed": [114, 115, 117], "emce": [68, 78], "emphas": 3, "empir": [13, 24, 29, 99, 113], "emploi": 7, "empti": [18, 57, 61, 64, 99, 113, 114, 115, 116, 117, 119, 120, 132], "enabl": [1, 18, 42, 44, 47, 86, 88, 99, 113], "encapsul": [114, 115], "encod": [3, 22, 42, 43, 44, 45, 47, 49], "encount": 132, "end": [13, 32, 33, 39, 40, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "end_modulu": [94, 97], "endeavor": [114, 115], "endtim": [13, 99, 100, 113], "enforc": [8, 121], "enough": [7, 42, 49, 114, 115], "ensur": [8, 11, 24, 29, 121], "enter": 0, "entri": [2, 3], "enumer": 144, "env": 18, "environ": [0, 1, 3, 4, 42, 43, 121, 131, 134, 135, 136, 139, 141, 145, 148], "environment": [42, 43, 65], "epm": 13, "epoch": [7, 14, 121, 142, 143, 151, 155], "eps_pur": [86, 88], "equal": [60, 99, 113], "equalscondit": [139, 145], "error": [8, 20, 21], "error_scor": [136, 139, 145], "essenti": [0, 39, 40], "estim": [72, 73, 86, 88, 101, 102], "et": [8, 24, 28, 29, 68, 78], "eta": [42, 46, 48, 57, 59, 60, 62, 139, 140, 141], "eta0": 140, "etc": [64, 72, 73, 121], "eval_gradi": [72, 73], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 61, 62, 64, 72, 73, 94, 95, 96, 97, 98, 99, 100, 113, 114, 119, 121, 131, 132, 133, 134, 139, 140, 144, 145], "even": [7, 9, 13, 16, 19, 21], "event": [57, 58, 61, 62], "eventu": [114, 115], "ever": [94, 97], "everi": [3, 13, 42, 43, 57, 58, 65, 94, 96, 97, 114, 115, 117, 119], "everyth": [20, 148], "everytim": [13, 18, 57, 58, 61, 120], "evolut": [13, 32, 34], "exact": [10, 42, 43, 65], "exactli": [15, 57, 61], "exampl": [3, 7, 8, 10, 13, 14, 15, 16, 17, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "examples_jupyt": 151, "examples_python": 151, "exce": 65, "exceed": [65, 132], "except": [18, 42, 43, 114, 116, 117, 136], "execut": [2, 8, 13, 18, 21, 42, 43, 48, 65, 99, 113, 114, 115, 116, 117, 119, 120, 138, 143, 147, 150, 152, 155], "exhaust": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "exist": [57, 61, 65, 99, 113, 132, 135], "exloit": [24, 27], "exp": 132, "expand": [16, 57, 58, 62, 121], "expect": [3, 8, 13, 24, 27, 42, 43, 44, 45, 47, 86, 88, 101, 104, 114, 115], "expens": [6, 7], "experi": [13, 20, 42, 47], "experiment": 6, "expert": 3, "explain": [3, 13], "explicitli": [42, 43, 114, 117, 132, 134], "exploit": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "explor": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "expon": [79, 84], "exponenti": [79, 80, 84], "export": 0, "ext": 20, "extend": 7, "extens": 7, "f": [24, 27, 30, 68, 70, 78, 79, 80, 81, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "f09c3b": [131, 135], "f1": [18, 144, 148], "f2": [18, 144, 148], "f3c025": 144, "f3c23b": 144, "f5d5f9": 144, "f69e52": 144, "f72805": [131, 135], "f79367": 141, "f_": [24, 27, 30], "facad": [8, 10, 13, 14, 15, 20, 65, 121, 131, 132, 136, 139, 144, 145], "fact": [13, 57, 61], "factor": [24, 29, 94, 98], "factori": [13, 50, 53, 99, 100], "factorialinitialdesign": [50, 53], "fail": [57, 58, 114, 117, 118, 121], "falkner": [68, 70, 78, 80], "fall": 2, "fals": [8, 10, 20, 24, 27, 29, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 62, 65, 68, 72, 73, 74, 75, 76, 77, 78, 86, 88, 99, 113, 114, 117, 121, 125, 132, 133, 134, 135], "far": [13, 19, 24, 26, 27, 42, 46, 48, 57, 62, 65, 100, 134], "fashion": [42, 43, 65, 114, 115, 116, 117, 119], "fast": 21, "faster": 12, "fault": 0, "fe2841": 144, "featur": [8, 13, 16, 18, 42, 44, 47, 66, 67, 68, 69, 70, 78, 85, 86, 88, 101, 102, 120, 121, 123, 140], "fec302": 144, "feedback": 8, "feedstock": 1, "feel": 8, "fef2f4": 131, "feurer": 154, "few": [2, 7, 42, 49, 140], "fewer": 121, "ff3901": 144, "ff709c": 144, "fi": [18, 148], "fidel": [2, 3, 7, 13, 19, 22, 42, 43, 48, 57, 58, 60, 61, 62, 65, 99, 113, 121, 139, 140, 141], "fifo": [114, 115], "figur": [131, 139, 141, 144], "file": [2, 9, 10, 18, 22, 42, 43, 65, 99, 113, 121, 132, 135, 138, 143, 147, 150, 152, 155], "filenam": [18, 20, 57, 58, 65, 99, 113, 148], "fill": [42, 43, 57, 58, 62, 65, 116], "filterwarn": [136, 139, 140, 145], "final": [3, 94, 96], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 60, 64, 131, 132, 133, 134, 135, 141, 148], "finish": [10, 13, 21, 39, 40, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 139, 140, 141, 144], "first": [3, 8, 10, 13, 17, 18, 42, 43, 57, 58, 61, 62, 64, 72, 73, 99, 113, 114, 118, 119, 124, 132, 135, 144, 148], "firstruncrashedexcept": [114, 118], "fit": [3, 9, 24, 25, 66, 89], "five": [16, 42, 45, 47, 48, 50, 51, 139, 145], "fix": [72, 73], "flag": [8, 135], "flexibl": [2, 68, 70, 78, 80], "float": [3, 4, 18, 24, 26, 27, 28, 29, 30, 31, 32, 36, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "flow": 17, "fmin": [24, 25], "fold": [136, 139, 145], "folder": [0, 65], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 61, 62, 86, 88, 114, 115, 117, 120, 148, 154], "forc": [114, 117], "force_upd": [99, 113], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 66, 67, 86, 87, 88, 132, 136, 154], "forev": [57, 61], "forgotten": 21, "fork": 21, "form": [7, 18, 79, 81, 120], "format": [13, 20, 124], "formatt": 20, "forward": 13, "found": [7, 8, 10, 13, 24, 29, 42, 43, 57, 58, 61, 65, 94, 97, 131, 135, 141, 148, 154], "four": [3, 66, 67], "frac": [24, 27, 30], "fraction": [94, 97], "frame": 121, "framework": [2, 3, 7, 68, 70, 78, 80], "frank": [6, 154], "free": [7, 8, 9, 42, 46], "freeze_support": 21, "freiburg": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 34, 36, 42, 43, 49, 50, 51, 57, 58, 61, 62, 64, 65, 68, 70, 72, 73, 80, 99, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 149, 150, 151, 152, 155], "front": [15, 57, 58, 127, 144, 145], "frozen": 21, "full": [24, 25, 26, 27, 28, 29, 30, 31, 66, 67, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 70, 72, 73, 78, 99, 101, 102, 104, 113, 114, 115, 116, 117, 118, 119, 120, 121, 132, 133, 135, 136, 137, 138, 139, 140, 141, 145, 146, 147, 149, 150, 151, 155], "function_bas": 132, "function_sampl": [68, 70], "further": [18, 24, 28, 29, 50, 54, 56, 94, 97, 114, 115, 117, 118, 119, 120, 121], "furthermor": [1, 57, 58, 134], "futur": [57, 58, 114, 117], "g": [0, 2, 6, 7, 12, 13, 15, 18, 21, 140], "gain": 136, "galleri": 155, "gamma": [79, 81, 132], "gamma_valu": 132, "gammaprior": [79, 81], "gaussian": [3, 6, 7, 13, 42, 45, 66, 67, 68, 69, 70, 72, 73, 78, 80, 131], "gaussianprocess": [42, 45, 68, 70, 78], "gcc": 8, "gcc_linux": [0, 1], "gener": [0, 3, 7, 8, 10, 12, 13, 14, 35, 42, 43, 50, 54, 56, 57, 58, 90, 91, 114, 115, 116, 117, 121, 132, 153, 154], "geq": [24, 30], "get": [0, 1, 13, 32, 34, 38, 57, 58, 62, 72, 73, 114, 117, 125, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_": [42, 43], "get_acquisition_funct": [42, 43, 44, 45, 47, 49, 136], "get_acquisition_maxim": [42, 43, 44, 45, 47, 49], "get_callback": [57, 58], "get_conditional_hyperparamet": 123, "get_config": [13, 99, 113, 131, 141, 144, 145], "get_config_hash": 123, "get_config_id": [99, 113], "get_config_selector": [42, 43, 45], "get_configs_per_budget": [99, 113], "get_configur": [101, 102], "get_cost": [99, 113, 134], "get_default_configur": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_dictionari": [132, 134], "get_finish": [114, 115, 116, 117], "get_gradi": [79, 80, 84], "get_incumb": [15, 57, 58, 134, 135, 144], "get_incumbent_instance_seed_budget_kei": [57, 58], "get_incumbent_instance_seed_budget_key_differ": [57, 58], "get_initial_design": [42, 43, 44, 45, 47, 48, 49, 132, 136, 139, 145], "get_inst": 140, "get_instance_data": 140, "get_instance_featur": 140, "get_instance_seed_budget_kei": [57, 58, 62, 99, 100, 113], "get_instance_seed_kei": [99, 100], "get_instance_seed_keys_of_interest": [57, 58, 62], "get_intensifi": [42, 43, 44, 45, 46, 47, 48, 49, 133, 136, 141, 145], "get_kernel": [42, 45], "get_log_prob": [79, 80, 84], "get_logg": 125, "get_min_cost": [99, 113], "get_model": [42, 43, 44, 45, 47, 49], "get_multi_objective_algorithm": [42, 43, 44, 45, 47, 49, 144], "get_n_trials_for_hyperband_multifidel": [60, 141], "get_param": [72, 73, 74], "get_random_design": [42, 43, 44, 45, 47, 49], "get_rejected_config": [57, 58], "get_runhistory_encod": [42, 43, 44, 45, 47, 49], "get_running_config": [99, 113], "get_running_tri": [99, 113], "get_stat": [57, 58, 59, 61, 62], "get_trial": [42, 48, 99, 113], "get_trials_of_interest": [57, 58, 62], "get_typ": 123, "git": 1, "github": [1, 8, 50, 56, 127, 154], "githubusercont": 0, "give": [13, 17, 20, 22, 64, 121], "given": [7, 18, 24, 25, 26, 32, 36, 42, 48, 57, 58, 62, 66, 67, 94, 96, 98, 99, 101, 102, 113, 114, 115, 119, 120, 126, 127, 140], "global": [2, 7, 20, 32, 34, 57, 58], "go": [13, 21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "goal": 7, "good": [7, 139], "govern": 7, "gp": [7, 68, 78], "gracefulli": [39, 40, 135], "gradient": [32, 34, 72, 73, 79, 80, 84, 142, 143, 151, 155], "greater": [79, 81, 121], "greather": [79, 81, 121], "ground": [131, 141], "group": [42, 43, 57, 62, 65, 114, 115, 117, 119], "guarante": [13, 22, 99, 113], "guid": [8, 13], "guidelin": 154, "gxx_linux": [0, 1], "h": 154, "ha": [0, 1, 2, 19, 21, 32, 33, 42, 43, 50, 51, 57, 58, 62, 65, 72, 73, 100, 114, 115, 117, 119], "had": 140, "halv": [7, 14, 17, 42, 46, 48, 57, 60, 62, 139, 140, 141], "ham": [72, 74], "hammingkernel": [42, 45, 72, 74], "handl": [64, 99, 113, 114, 115, 117, 119, 120], "handler": 20, "hang": 21, "hannov": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "happen": [8, 13, 60], "hard": [57, 58], "has_condit": [72, 73, 74, 75, 76, 77], "has_config": [99, 113], "hash": [42, 43, 121, 123], "hasn": 8, "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 64, 65, 99, 100, 113, 114, 115, 116, 117, 119, 133, 136, 139, 140, 145], "haven": 1, "hb": [7, 141], "hbfacad": 3, "help": [8, 12], "helper": [94, 95], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 64, 131, 135, 136, 140, 141, 148, 154], "heurist": [32, 34], "hi": [79, 80, 84], "hidden_layer_s": [136, 139, 145], "hierarch": 2, "hierarchi": [72, 73], "high": [3, 12, 13, 21], "higher": [12, 13, 132], "highest": [13, 19, 42, 43, 46, 48, 57, 58, 62, 64, 65, 99, 113], "highest_budget": [42, 46, 48, 57, 62, 139], "highest_observed_budget": [42, 46, 48, 57, 59, 62], "highest_observed_budget_onli": [99, 113], "highli": 3, "highlight": [20, 145], "hint": 22, "histor": 121, "histori": [15, 19, 65], "hold": [13, 22, 24, 28, 42, 43, 57, 61, 65, 132], "home": [0, 132, 134], "hoo": 154, "hope": 9, "horizont": 3, "horsesho": [79, 82], "horseshoeprior": [79, 82], "host": 139, "hostedtoolcach": [132, 139], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 113, 114, 115, 117, 120, 124, 133, 139, 141, 144, 145, 148, 151], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 62, 64, 120, 144], "hp": [7, 13, 136], "hpbandster": [2, 8], "hpofacad": [3, 13, 131, 134, 135, 144, 145], "hssl22": [6, 24, 29], "html": [6, 50, 54, 56, 154], "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 90, 93, 127, 139, 154], "hundr": 35, "hutter": [6, 8, 68, 70, 78, 80, 154], "hvarfner": [6, 24, 29], "hybrid": 6, "hyperband": [3, 6, 7, 14, 42, 46, 48, 57, 60, 62, 139, 142, 143, 151, 155], "hyperband_info": 60, "hyperband_util": 141, "hyperbandfacad": [3, 42, 46, 49], "hypercub": [13, 50, 54], "hypermapp": 2, "hyperopt": 2, "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 85, 86, 88, 123, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148, 154], "hyperparameter1": [18, 120], "hyperparameter_length_scal": [72, 74], "hyperparameteroptimizationfacad": [3, 4, 42, 47, 48, 131, 132, 133, 134, 135, 136, 144, 145], "i": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 24, 29, 32, 33, 34, 39, 40, 42, 43, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 85, 86, 88, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "id": [16, 99, 100, 113], "idea": [3, 8, 13, 154], "identifi": [16, 121], "idiom": 21, "ids_config": [99, 113], "ignor": [18, 19, 42, 43, 57, 61, 64, 65, 72, 73, 131, 136, 139, 140, 141, 145], "illustr": [136, 139, 141], "imagin": 13, "immedi": 116, "implement": [2, 3, 8, 13, 24, 25, 32, 33, 36, 37, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 78, 79, 81, 83, 86, 88, 90, 93, 114, 115, 117, 139], "impli": [9, 139], "import": [3, 4, 8, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "importantli": [99, 113], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 101, 104], "imput": 123, "inact": [13, 42, 43, 123], "includ": [13, 21, 57, 58, 59, 61, 62, 65, 66, 67, 85, 136, 140, 154], "incondit": [132, 139, 145], "inconsist": [65, 131, 135, 141, 148], "incorpor": [13, 42, 43, 49, 57, 58, 66, 67, 68, 69, 70, 78, 86, 88, 99, 113, 121, 136], "increas": [42, 49, 94, 97], "increment": [99, 113], "incremental_update_cost": [99, 113], "incumb": [4, 7, 13, 15, 18, 19, 24, 27, 28, 30, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 100, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "incumbent2": 135, "incumbent_cost": [131, 132, 133, 135, 136, 139, 140, 141, 148], "incumbent_select": [42, 46, 48, 57, 59, 62, 139], "incumbents_chang": [57, 58], "index": 65, "indic": [42, 43, 94, 95, 97, 114, 118, 140, 145], "individu": [42, 46, 48, 57, 62, 99, 113], "inf": [19, 94, 97, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "inferior": [57, 58], "infin": [19, 132], "influenc": [13, 15, 141], "info": [13, 20, 39, 40, 42, 43, 60, 65, 99, 113, 114, 115, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 62, 65, 99, 100, 113, 114, 115, 117, 119, 120, 132], "inherit": [13, 72, 73], "initi": [3, 22, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 62, 64, 65, 94, 95, 96, 97, 98, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "initial_design": [42, 43, 44, 45, 46, 47, 48, 49, 132, 136, 139, 145], "initialdesign": [42, 43], "input": [0, 2, 7, 13, 24, 26, 42, 46, 48, 57, 60, 61, 62, 66, 67, 68, 70, 80, 85, 86, 88, 101, 105, 126, 133], "insid": [1, 13, 21, 134], "instal": 8, "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 85, 86, 88, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 133, 135, 136, 139, 140, 141, 145, 148], "instance_featur": [16, 18, 66, 67, 68, 69, 70, 78, 86, 88, 89, 120, 121, 123, 140], "instance_seed_budget_kei": [99, 113], "instance_seed_kei": [57, 58], "instance_seed_ord": [42, 46, 48, 57, 59, 62], "instanceseedbudgetkei": [57, 58, 62, 99, 100, 113, 127], "instanceseedkei": [57, 58, 99, 100], "instanti": [3, 7, 13, 42, 43, 45, 99, 100], "instantiat": [72, 73], "instantli": [114, 115, 116, 117], "instead": [3, 7, 15, 18, 20, 21, 64, 72, 73, 132, 134, 139, 141], "instruct": 1, "int": [3, 4, 24, 26, 32, 33, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "integ": [3, 94, 96, 97, 98, 125, 132, 136, 139, 145], "integr": [2, 13, 24, 28, 68, 78, 134, 136], "integratedacquisitionfunct": [24, 28], "intellig": 154, "intend": [114, 117], "intensif": [7, 13, 17, 39, 40, 57, 61, 139], "intensifi": [3, 12, 14, 15, 20, 22, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 65, 114, 115, 116, 117, 121, 133, 134, 135, 136, 139, 141, 144, 145], "intensifier_object": 139, "intenum": [99, 111], "interact": [3, 114, 115], "interest": [57, 58, 62], "interfac": [2, 3, 7, 15, 22, 133], "interleav": [32, 33, 35, 36, 42, 43, 44, 45, 47, 94, 95, 96, 97, 98], "intermedi": 17, "intern": [2, 14, 16, 42, 43, 50, 51, 57, 58, 59, 61, 62, 65, 66, 67, 68, 72, 73, 78, 79, 80, 84, 85, 90, 91, 93, 114, 115, 117, 119, 120, 121, 139], "interpret": [18, 42, 43], "interrupt": 10, "intersect": [57, 58], "interv": 133, "intiti": 64, "intuit": 136, "invalid": 132, "invers": [101, 106], "invit": 3, "involv": [11, 13, 64], "invscal": [139, 140, 145], "io": [50, 56], "ipynb": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "iri": [4, 132], "is_run": [114, 115, 116, 117], "isinst": 132, "isol": [114, 115], "issu": [8, 13, 32, 36, 42, 47, 154], "item": [13, 100, 131, 132, 139, 141], "iter": [7, 13, 19, 32, 33, 35, 36, 37, 39, 40, 42, 43, 45, 47, 57, 58, 61, 64, 90, 91, 93, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 124], "iter_result": [114, 115, 116, 117], "itertool": 140, "its": [7, 13, 16, 19, 21, 68, 72, 73, 78, 99, 113, 114, 115, 116, 117, 131, 132], "j": 6, "jamieson": 6, "jasper": [24, 28], "java": 8, "jdk": [90, 93], "jmlr": [6, 154], "jmlr22a": 154, "job": [21, 114, 117], "job_cl": 21, "job_class": 21, "journal": [32, 34, 154], "json": [99, 113], "judg": [2, 42, 43, 65], "jupyt": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "just": [13, 15, 21, 42, 49, 134], "k": [6, 13, 32, 34, 72, 73, 99, 113, 131, 141, 154], "k1": [72, 73], "k2": [72, 73], "k_gradient": [72, 73], "kakad": 6, "katharina": 154, "keep": [13, 15, 20, 21, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 86, 88, 114, 115, 116, 117, 119], "kei": [15, 18, 42, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 99, 100, 113, 127, 148], "kernel": [42, 45, 68, 69, 70, 78, 132], "klein": [68, 70, 78, 80], "know": [0, 1, 12, 72, 73, 131, 133, 141], "know06": [2, 6, 15], "knowl": 6, "knowledg": 136, "known": 7, "kraus": 6, "kwarg": [3, 24, 25, 39, 41, 50, 56, 72, 73, 86, 87, 101, 106, 110, 114, 119, 132], "l": [0, 6], "l1_ratio": 140, "label": [139, 144, 145], "landscap": 6, "languag": 2, "larg": [32, 34, 131], "larger": [32, 34], "last": [68, 78, 132, 135], "lastli": [57, 58], "latest": [8, 57, 58], "latin": [13, 50, 54], "latinhypercub": [50, 54], "latinhypercubeinitialdesign": [50, 54], "launch": [21, 114, 115, 116, 117], "layer": [136, 140, 142, 143, 151, 155], "lbfg": [139, 145], "lcb": [24, 26], "lead": [12, 13], "leaf": [42, 44, 47, 86, 88], "learn": [3, 24, 28, 136, 139, 154], "learning_r": [3, 139, 140, 145], "learning_rate_init": [136, 139, 145], "least": [7, 99, 113, 139], "leav": 136, "left": [10, 24, 27, 42, 43, 72, 73], "legal": 3, "legend": [139, 144, 145], "len": [99, 113, 139], "length": [42, 44, 45, 47, 49, 68, 72, 74, 78, 90, 92], "length_scal": [72, 74, 75, 76], "length_scale_bound": [72, 74, 75, 76], "less": 12, "let": [0, 1, 7, 13, 131, 132, 133, 134, 136, 139, 141, 145, 148], "level": [22, 42, 43, 124, 125], "levelnam": 20, "leyton": 154, "li": [6, 57, 58], "lib": [132, 139], "librari": 22, "like": [0, 1, 13, 18, 19, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 117, 119, 132, 134, 136], "likelihood": [68, 70], "limit": [3, 8, 13, 18, 21, 114, 115, 117, 119, 120], "lindauer": [6, 154], "line": [2, 6, 7, 21, 22, 132], "linear": 132, "linear_model": 140, "linearli": [101, 106, 108, 109, 110], "lineno": 20, "linestyl": 145, "link": 8, "linspac": [131, 141], "linux": [0, 1], "lion": 154, "list": [8, 12, 15, 18, 24, 25, 28, 32, 33, 35, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 126, 127, 131, 139, 140, 141, 145], "liter": [42, 43, 125], "literatur": 13, "ljdr18": [6, 42, 46], "lnprob": 80, "load": [57, 58, 65, 99, 113, 121, 132], "load_digit": [136, 139, 140, 145], "load_iri": [4, 132], "loc": [79, 81], "local": [3, 13, 21, 32, 36, 37, 42, 43, 44, 45, 47, 65, 114, 115, 117, 119], "local_search_iter": [32, 36, 42, 45, 47], "localandsortedrandomsearch": [24, 31, 32, 36, 42, 44, 45, 47], "localsearch": [32, 36, 37], "locat": [8, 24, 27], "log": [3, 13, 22, 24, 26, 27, 42, 43, 47, 68, 70, 79, 80, 83, 84, 86, 88, 101, 104, 107, 108, 132, 134, 136, 139, 140, 145], "log_i": [86, 88], "log_loss": 140, "logger": [20, 123, 125], "logger_nam": 125, "logging_level": [20, 42, 43, 44, 45, 46, 47, 48, 49, 134], "logic": [13, 57, 61], "logical_or": 140, "login": 21, "logist": [136, 139, 145], "lognormalprior": [79, 83], "long": 13, "longer": [12, 140], "look": [8, 10, 14, 17, 35, 42, 49], "loop": [13, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 134], "loss": [90, 91, 92, 93, 114, 119, 140], "lot": [13, 22, 140], "low": [2, 3, 12, 13, 42, 49], "lower": [12, 13, 24, 26, 57, 62, 64, 79, 84, 99, 101, 102, 113, 136], "lower_bound": [79, 84], "lower_budget_st": [101, 102, 104, 105, 107, 108, 109], "lowest": [24, 29, 42, 43, 57, 58, 61, 99, 113], "lr": [139, 145], "lr_init": [139, 145], "luigi": 6, "m": 6, "mac": [1, 8], "machin": [1, 4, 24, 28, 137, 138, 151, 154, 155], "made": 21, "mai": [8, 57, 58], "main": [13, 21, 32, 36, 42, 49, 57, 58, 114, 117, 134, 135, 154], "maintain": 8, "make": [7, 8, 12, 13, 15, 18, 24, 31, 57, 58, 61, 62, 68, 78, 94, 97, 114, 115, 116, 117, 121, 135, 136, 139, 140, 145], "make_serializ": 121, "manag": [114, 117, 121], "mani": [2, 3, 7, 12, 42, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 66, 85, 99, 100, 113, 141], "manner": [42, 43, 44, 45, 47, 49], "mansur": [68, 70, 78, 80], "manual": [42, 43, 114, 117, 136], "map": [72, 73, 99, 113], "margin": [24, 28, 66, 67, 68, 70, 85, 86, 88], "mariu": [6, 154], "mark": [18, 57, 58], "marker": [131, 139, 141, 144, 145], "markov": 7, "markow": [68, 78], "massiv": 2, "master": 0, "match": 18, "materi": 3, "matern": [42, 45, 72, 75], "maternkernel": [72, 75], "math": [24, 31, 80], "mathbb": [24, 27], "mathbf": [24, 26, 27, 30, 31], "mathcal": [24, 31], "mathemat": 13, "matplotlib": [131, 139, 141, 144, 145], "matrix": [16, 66, 67], "matthia": 154, "max": [3, 14, 17, 24, 27, 42, 47, 49, 57, 58, 61, 126, 132, 139, 140, 141, 145], "max_budget": [14, 60, 121, 139, 140, 141], "max_config_cal": [12, 13, 42, 44, 45, 47, 49, 57, 58, 61, 133, 136, 145], "max_depth": [42, 44, 47, 86, 88], "max_incumb": [42, 44, 45, 46, 47, 48, 49, 57, 58, 59, 61, 62], "max_it": [136, 139, 140, 145], "max_iter": 60, "max_nod": [86, 88], "max_prob": [94, 96], "max_ratio": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 148], "max_step": [32, 36, 37], "maxim": [3, 15, 22, 24, 25, 26, 31, 42, 43, 44, 45, 47, 49, 64], "maximum": [32, 36, 37, 42, 44, 45, 47, 49, 57, 58, 60, 61, 65, 86, 88, 94, 96, 97, 121, 132, 141], "mb": [121, 138, 143, 147, 150, 152, 155], "mcmc": [7, 42, 45, 68, 78], "mcmc_sampler": [68, 78], "mcmcgaussianprocess": [42, 45, 68, 78], "mean": [2, 4, 8, 13, 15, 16, 21, 42, 44, 45, 47, 49, 57, 61, 66, 67, 68, 70, 78, 79, 81, 83, 85, 86, 88, 90, 92, 99, 113, 121, 132, 136, 139, 140, 145], "meanaggregationstrategi": [42, 44, 45, 47, 49, 90, 92], "mechan": [7, 114, 115, 139, 154], "medium": 3, "mem": [138, 143, 147, 150, 152, 155], "member": [72, 73], "memori": [8, 42, 43, 65, 114, 115, 117, 119, 121], "memoryout": [101, 102], "mention": [13, 154], "merchant": 9, "messag": 20, "meta": [10, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 119, 120, 121, 131, 135, 141, 148], "metadatacallback": [39, 41], "method": [13, 15, 19, 24, 25, 32, 33, 34, 39, 40, 42, 43, 57, 58, 61, 62, 64, 66, 67, 72, 73, 74, 79, 80, 84, 86, 88, 114, 115, 116, 117, 119, 120, 136, 139, 140, 145], "metric": 7, "metric1": 144, "metric2": 144, "mf": 7, "mffacad": [3, 139, 140], "middl": [50, 53], "might": [0, 1, 12, 13, 17, 21, 57, 58, 61, 72, 73, 99, 113, 114, 115, 116, 117], "min": [17, 126, 139, 140, 141, 145], "min_budget": [14, 60, 121, 139, 140, 141], "min_cost": [99, 113], "min_prob": [94, 96], "min_samples_leaf": [42, 44, 47, 86, 88], "min_samples_split": [42, 44, 47, 86, 88], "min_trial": [13, 64], "mind": 21, "minim": [3, 19, 32, 37, 94, 96], "minimium": 133, "minimum": [7, 32, 34, 42, 44, 47, 60, 86, 88, 99, 113, 121, 131, 135, 141], "minut": [3, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "miro": 153, "miss": [3, 57, 58], "mix": 132, "mixin": [72, 73], "mlp": [136, 139, 140, 145], "mlpclassifi": [136, 139, 145], "mnt": 0, "mo": [57, 58], "mode": 7, "model": [3, 7, 8, 12, 15, 16, 21, 22, 24, 25, 28, 29, 32, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 64, 65, 101, 102, 114, 117, 121, 131, 132, 133, 134, 135, 136, 140, 141, 154], "model_select": [4, 132, 136, 139, 140, 145], "model_typ": [42, 45], "modifi": [9, 21], "modul": [3, 20, 21, 125], "modular": 3, "modulu": [13, 35, 94, 97], "modulus_incr": [94, 97], "modulusrandomdesign": [35, 94, 97], "mont": [7, 68, 78], "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 61, 114, 115, 117, 132, 144], "moreov": [13, 57, 58, 136], "most": [42, 43, 45, 47, 48, 50, 51, 99, 113, 132, 136, 139], "mostli": 13, "mount": 0, "mous": 3, "move": [94, 96, 99, 113], "mu": [24, 26, 30, 31, 136], "much": [65, 99, 100, 113, 114, 117, 139, 144], "multi": [2, 3, 7, 18, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 119, 120, 121, 136, 140, 141, 143, 144, 145, 155], "multi_object": 145, "multi_objective_algorithm": [15, 42, 43, 44, 45, 46, 47, 48, 49, 99, 101, 102, 113, 144, 145], "multidimension": 13, "multifidelityfacad": [3, 8, 13, 42, 48, 60, 139, 140, 141], "multilayerperceptron": 3, "multiobject": 6, "multiobjectivemodel": [66, 85], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 66, 85, 99, 113, 121, 136, 142, 143, 145, 151, 155], "multipli": [94, 98, 141], "multivari": [32, 34], "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 66, 67, 72, 73, 79, 80, 81, 84, 85, 90, 92, 114, 119, 120, 121, 139], "my": [42, 45, 47, 48, 50, 51], "myfloat": 3, "myint": 3, "mypi": [72, 73], "n": [0, 1, 6, 24, 25, 28, 31, 57, 61, 64, 68, 70, 78, 80, 114, 117, 124, 141, 144, 145, 152], "n_config": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 121, 132, 139, 145], "n_configs_in_stag": 60, "n_configs_per_hyperparamet": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 139], "n_configs_per_hyperparamt": [42, 45, 47, 48], "n_dim": [72, 73], "n_featur": [72, 73], "n_func": [68, 70], "n_layer": [136, 139, 145], "n_mcmc_walker": [68, 78], "n_neuron": [136, 139, 145], "n_point": [32, 33], "n_points_per_tre": [86, 88], "n_restart": [68, 70], "n_sampl": 80, "n_samples_i": [72, 73], "n_samples_x": [72, 73], "n_seed": [13, 42, 46, 48, 57, 58, 59, 62, 121], "n_split": [136, 139, 140, 145], "n_steps_plateau_walk": [32, 36, 37], "n_tree": [42, 44, 47, 86, 88], "n_trial": [3, 4, 17, 24, 29, 42, 45, 47, 48, 50, 51, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "n_worker": [3, 12, 21, 114, 117, 121, 139, 145], "name": [3, 10, 15, 16, 20, 24, 25, 26, 27, 28, 29, 30, 31, 42, 43, 65, 72, 73, 99, 101, 102, 113, 121, 125, 135], "nanmean": 132, "nardi": 6, "nativ": [13, 21, 57, 62], "natur": [32, 34], "ndarrai": [24, 25, 65, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 101, 102, 104, 105, 106, 107, 108, 109, 110, 123, 140], "necessari": 35, "need": [2, 3, 13, 16, 18, 21, 22, 32, 35, 36, 42, 43, 57, 58, 60, 61, 62, 72, 73, 99, 113, 114, 115, 116, 117, 132, 134, 140, 141], "neg": [24, 29], "neighbor": [32, 37], "neighbour": 13, "neither": [42, 49, 99, 113], "network": [3, 42, 43, 65, 114, 115, 117, 119, 136, 139], "neural": [3, 139], "neural_network": [136, 139, 145], "never": [3, 35], "nevertheless": [8, 114, 117], "new": [7, 8, 10, 13, 21, 35, 39, 40, 42, 49, 57, 58, 61, 62, 64, 99, 113, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "next": [13, 15, 17, 19, 39, 40, 42, 43, 57, 58, 59, 64, 65, 94, 95, 96, 97, 98, 114, 115, 117, 132, 133, 141], "next_config": 64, "next_iter": [32, 33, 94, 95, 96, 97, 98], "nip": [24, 28, 68, 70, 78, 80], "node": [21, 86, 88, 114, 117, 139], "nois": [42, 45], "noise_level": [72, 77], "noise_level_bound": [72, 77], "non": [8, 18, 24, 29, 72, 73, 149, 151], "none": [13, 24, 25, 29, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 139, 140, 141, 144, 145], "noqa": [101, 102], "nor": [42, 49, 99, 113], "normal": [13, 18, 24, 30, 68, 70, 78, 79, 83, 90, 91, 92, 93, 99, 113, 126, 136, 141], "normalfloathyperparamet": 136, "normalize_cost": [13, 126], "normalize_i": [68, 70, 78], "normalized_cost": 126, "normalizedkernelmixin": [72, 74], "notabl": [57, 58], "note": [3, 18, 19, 42, 43, 133], "notebook": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "notevaluatederror": 112, "noth": [42, 43, 132], "notic": [42, 48, 121, 144], "novel": [6, 7], "now": [1, 15, 131, 132, 133, 134, 135, 140, 141, 148], "np": [4, 19, 24, 25, 27, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 94, 97, 101, 102, 104, 121, 123, 131, 132, 136, 139, 140, 141, 144, 145], "nsga2": 127, "nu": [72, 75], "num_trial": [57, 58, 99, 113], "number": [2, 7, 12, 13, 14, 16, 19, 21, 24, 26, 28, 29, 32, 33, 34, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 90, 92, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 132, 136, 139, 140, 142, 143, 144, 145, 148, 151, 154, 155], "number_of_bracket": 60, "numer": 131, "numpi": [4, 72, 73, 131, 132, 136, 139, 140, 141, 144, 145], "nut": [68, 78], "o": [131, 141, 144], "obj1": 15, "obj2": 15, "object": [2, 3, 4, 7, 16, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145, 147, 148, 155], "objective_bound": [13, 99, 113], "objective_weight": [42, 44, 45, 47, 49, 90, 92, 144], "observ": [0, 7, 13, 24, 27, 42, 48, 57, 58, 99, 113, 123], "obtain": [10, 32, 37, 57, 58, 68, 70, 80], "obviou": 21, "obvious": 17, "occupi": 13, "off": [10, 13, 24, 26, 27, 42, 43], "offer": [2, 3, 15, 114, 115], "offici": 1, "often": [7, 8, 12, 13, 15, 16, 32, 34, 42, 49, 57, 58, 64, 133], "old": [10, 42, 43, 65, 135], "omit": [21, 99, 100], "on_ask_end": [39, 40], "on_ask_start": [39, 40], "on_end": [13, 39, 40], "on_iteration_end": [13, 39, 40], "on_iteration_start": [13, 39, 40], "on_next_configurations_end": [39, 40], "on_next_configurations_start": [39, 40], "on_start": [13, 39, 40, 41, 134], "on_tell_end": [39, 40, 134, 135], "on_tell_start": [39, 40], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 62, 136, 139, 145], "one": [2, 7, 8, 11, 12, 15, 18, 19, 21, 35, 42, 43, 49, 57, 58, 60, 61, 62, 68, 78, 99, 101, 106, 108, 109, 110, 113, 114, 115, 116, 117, 120, 121, 131, 133, 135, 136, 140, 141, 144, 145, 148], "ones": [42, 43, 65, 127, 145], "ongo": 8, "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 48, 50, 52, 57, 58, 61, 62, 64, 65, 66, 67, 72, 73, 85, 99, 101, 102, 113, 114, 116, 117, 121, 127, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "onlin": [7, 42, 46, 49], "open": 8, "openbox": 2, "opensourc": 9, "oper": [72, 73], "operate_on": [72, 73, 74, 75, 76, 77], "opinion": 136, "opportun": 17, "oppos": [32, 36], "opt": [72, 73, 132, 139], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 33, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 60, 65, 68, 70, 78, 80, 90, 91, 94, 97, 121, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 144, 145, 148, 149, 151, 154, 155], "optimizt": 136, "optimum": [13, 24, 29, 101, 102, 137, 138, 151, 155], "option": [15, 16, 18, 32, 36, 39, 40, 42, 43, 57, 58, 65, 72, 73, 99, 113, 114, 118, 120, 126, 134, 135], "optuna": 2, "orchestr": 21, "order": [32, 33, 42, 46, 48, 57, 62, 101, 102], "org": [6, 9, 50, 54, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "organ": [42, 43], "origin": [8, 15, 79, 80, 84, 126, 154], "other": [2, 13, 19, 24, 31, 42, 43, 57, 58, 65, 99, 113], "otherwis": [13, 21, 57, 58, 114, 117, 119, 121], "our": [8, 10, 14, 15, 17, 21, 132, 136, 139, 140, 145, 148, 154], "out": [57, 60, 62, 68, 78], "output": [2, 7, 18, 65, 66, 67, 68, 70, 78, 121], "output_directori": [3, 10, 121, 135], "over": [13, 24, 26, 28, 29, 32, 34, 57, 61, 66, 67, 68, 78, 85, 86, 88, 94, 97, 98, 99, 113, 116, 137, 138, 144, 151, 155], "overcom": 8, "overhead": [21, 32, 37], "overlap": [57, 58], "overrid": [72, 73, 131, 135, 141, 148], "overview": 20, "overwrit": [10, 13, 42, 43, 44, 45, 46, 47, 48, 49, 65, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "overwrite_existing_tri": [99, 113], "p": [24, 30, 79, 81], "packag": [8, 132, 139, 154], "page": [3, 20, 22, 154], "pai": 13, "pair": [13, 42, 46, 48, 57, 62, 99, 113, 145], "paper": [6, 24, 28, 154], "paragraph": 13, "parallel": [2, 12, 22, 114, 115, 116, 117, 121], "param": [72, 73], "paramet": [3, 10, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 132, 133, 136, 139, 140, 141, 148, 154], "parego": [2, 6, 13, 15, 90, 146, 147, 151, 155], "parent": [132, 139, 145], "pareto": [15, 57, 58, 127, 144, 145], "pareto_cost": 145, "pareto_costs_i": 145, "pareto_costs_x": 145, "part": [0, 20, 32, 33, 57, 58], "particular": 9, "pass": [3, 8, 13, 14, 15, 18, 20, 21, 42, 43, 57, 58, 86, 88, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 125, 126, 127, 131, 135, 136, 139, 140, 141, 145, 148], "path": [0, 3, 18, 20, 42, 43, 65, 99, 113, 121, 125], "patholog": [24, 29], "patienc": [114, 117], "pattern": [114, 117], "pca": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88], "pca_compon": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 89], "pdf": [6, 24, 28, 90, 93], "peak": 3, "penalti": 140, "pend": [114, 115, 116, 117], "per": [24, 27, 42, 45, 47, 48, 50, 51, 60, 86, 88, 99, 101, 104, 113, 133, 136, 141], "percentil": [101, 102], "perceptron": [136, 140, 142, 143, 151, 155], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 62, 65, 86, 88, 99, 113, 114, 115, 121, 125, 140, 154], "perhap": 139, "perspect": [114, 115], "phase": 21, "phi": [24, 30], "pi": [24, 30], "pibo": [24, 29], "pickl": [21, 114, 117], "picklabl": [99, 113], "pictur": 13, "piecewis": [24, 29], "pip": [0, 1], "pipelin": [3, 42, 43], "place": [72, 73, 136], "placehold": 139, "plai": 16, "plateau": [32, 36, 37], "pleas": [0, 1, 2, 3, 8, 9, 10, 13, 14, 17, 18, 21, 24, 31, 42, 49, 57, 58, 99, 113, 132, 134, 154], "plot": [15, 131, 139, 141, 144, 145], "plot_from_smac": 144, "plot_pareto": 145, "plot_trajectori": 139, "plt": [131, 139, 141, 144, 145], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 66, 67, 68, 70, 85, 86, 88, 144], "poli": 132, "pop": 132, "popen": [18, 120], "popul": [114, 115, 116, 117], "port": 139, "posit": [90, 93, 114, 115, 117, 119, 120], "posixpath": 121, "possibl": [2, 3, 13, 24, 29, 42, 43, 72, 73, 140], "post": [57, 62, 145], "posterior": [68, 70], "practic": [24, 28, 151], "pre": [2, 16], "precis": [114, 117], "predict": [3, 13, 32, 36, 66, 67, 85, 86, 88], "predict_margin": [66, 67, 85, 86, 88], "preds_as_arrai": 132, "prefer": 8, "prematur": [7, 10, 14], "prepar": [42, 43, 101, 102], "present": [24, 25], "prevent": [72, 73], "previou": [3, 10, 13, 32, 33, 36, 42, 43, 65, 99, 113, 131, 132, 135, 136, 141, 148], "previous_config": [32, 33], "price": [32, 34], "primarili": [72, 73], "print": [13, 18, 57, 60, 62, 65, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "print_config_chang": 123, "print_hyperband_summari": 60, "print_stat": 65, "print_summari": [60, 141], "print_track": [57, 62], "prior": [13, 24, 29, 72, 73, 74, 75, 76, 77, 137, 138, 151, 155], "prior_acqusition_funct": 136, "prior_floor": [24, 29], "prior_sampling_fract": [32, 36], "prioracquisitionfunct": [24, 29, 136], "priorit": 144, "probability_design": 35, "probabilityrandomdesign": [35, 42, 44, 45, 47, 94, 98], "probabl": [3, 13, 21, 24, 30, 42, 44, 45, 47, 79, 80, 84, 94, 96, 98], "problem": [2, 6, 7, 8, 42, 43, 114, 115, 117, 119, 120, 131, 133], "procedur": [114, 117], "proceed": 154, "process": [3, 6, 7, 8, 12, 13, 15, 17, 18, 19, 21, 32, 33, 36, 39, 40, 42, 43, 45, 57, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 114, 115, 117, 119, 120, 121, 131, 134, 139, 140], "produc": [21, 114, 115, 116, 117], "product": [72, 73], "productkernel": [72, 73], "program": [9, 21, 64], "promis": [42, 43, 49], "proper": 21, "properli": 116, "properti": [0, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "proport": [42, 46, 48, 57, 60, 62], "propos": [68, 78], "proven": 136, "provid": [2, 3, 8, 13, 17, 19, 35, 42, 43, 46, 48, 57, 58, 62, 66, 85, 114, 117, 151], "purpos": [9, 16], "py": [127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 155], "pymoo": 127, "pynish": [8, 21, 114, 119, 121], "pypi": 1, "pyplot": [131, 139, 141, 144, 145], "pyrfr": 8, "python": [0, 1, 2, 8, 18, 35, 68, 70, 78, 80, 114, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "python3": [1, 132, 139, 154], "qmc": [50, 54, 56], "quadrat": [135, 137, 138, 141, 151, 155], "quadraticfunct": [131, 135, 141], "qualiti": 7, "quasi": 13, "queri": [57, 62, 99, 113], "question": 8, "queu": [42, 48], "queue": [13, 57, 61], "r": [24, 27, 32, 34, 145], "race": [7, 42, 46, 49, 57, 58, 61, 139, 154], "race_against": [42, 45, 47], "rais": [8, 21, 101, 102, 136, 139, 145], "ram": [13, 42, 47], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 61, 62, 66, 67, 86, 87, 88, 89, 94, 95, 96, 97, 98, 121, 132, 136, 139, 145, 154], "random_design": [32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49], "random_forest": 132, "random_st": [4, 132, 136, 139, 140, 145], "randomdesign": [42, 43], "randomfacad": [3, 42, 46, 49], "randomforest": [42, 44, 47, 86, 88], "randominitialdesign": [42, 48, 50, 55], "randomli": [32, 36, 42, 43, 49], "randommodel": [42, 49, 66, 89], "randomsearch": [24, 31, 32, 38, 42, 49], "rang": [3, 90, 91, 92, 93, 132, 133, 136, 139, 140], "rate": [3, 136, 139], "rather": 80, "ratio": [32, 36, 42, 44, 47, 86, 88], "ratio_featur": [42, 44, 47, 86, 88], "raw": 0, "rbf": [72, 76, 132], "rbfkernel": [72, 76], "re": [99, 113], "reach": [19, 64, 94, 97, 135], "react": 22, "read": [1, 10, 22, 99, 113, 135], "readi": 21, "real": [14, 42, 43, 65, 114, 115, 117, 119, 120], "realli": [114, 115], "reason": [14, 72, 73, 121], "receiv": [9, 13, 15, 18, 64, 99, 113, 114, 117], "recent": 132, "recip": 15, "recogn": 13, "recommend": [1, 8, 12, 13, 18, 22], "recurs": [124, 132], "recursionerror": 132, "recursively_compare_dict": 124, "red": [131, 141, 144, 145], "redistribut": 9, "reduc": [32, 35, 37, 42, 44, 47, 66, 67, 68, 69, 70, 78, 86, 88, 114, 117, 139, 148], "refer": [7, 8, 13, 14, 42, 48, 50, 54, 56, 57, 58, 154], "regard": [42, 43, 65], "regardless": [42, 46, 48, 57, 62], "regist": [17, 65], "register_callback": 65, "regret": 6, "reimplement": 8, "reject": [42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148], "rel": 136, "relat": [72, 73], "releas": 8, "relev": [42, 43, 65], "relu": [136, 139, 145], "remain": [13, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "remaining_cputim": 65, "remaining_tri": 65, "remaining_walltim": 65, "remov": [8, 24, 29, 32, 36, 57, 61, 120, 144, 145], "renam": [10, 42, 43], "ren\u00e9": 154, "repeat": [13, 132], "replac": [42, 49, 57, 58, 114, 119, 139], "report": [8, 17], "repres": [114, 115, 117, 119, 120, 125, 140, 154], "represent": [101, 102], "reproduc": [8, 21, 22, 121], "request": [13, 135], "requeu": [57, 58], "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 62, 64, 86, 88, 99, 113, 114, 115, 119, 120, 121, 140], "required_argu": [114, 115, 116, 119, 120], "research": 154, "reset": [57, 58, 59, 61, 62, 65, 99, 113], "resolv": 8, "resourc": [0, 21, 114, 117, 119], "respect": [10, 72, 73, 79, 80, 84, 121], "respons": [13, 42, 43, 101, 102, 104, 106, 107, 108, 109, 110], "restart": [68, 70, 94, 96], "restart_iter": [94, 96], "restor": [10, 57, 58, 59, 61, 62], "restrict": 139, "result": [0, 2, 3, 10, 13, 17, 42, 43, 57, 58, 65, 114, 115, 116, 117, 119, 120, 121, 131, 132, 135, 139, 141, 148], "retrain": [12, 64], "retrain_aft": [12, 13, 42, 43, 45, 64], "retri": [42, 43, 45, 57, 61, 64], "retriev": [57, 58, 140], "return": [3, 4, 7, 13, 15, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "reveal": 3, "rf": [7, 24, 29], "rfacad": 3, "rho": [90, 93], "rid": [57, 62], "right": [15, 18, 24, 27, 72, 73], "roar": [7, 42, 46, 49], "robin": [42, 43, 65, 114, 115, 117, 119], "robo": [68, 70, 78, 80], "robust": [2, 68, 70, 78, 80], "role": 16, "root": [8, 20, 101, 110, 124], "rosenbrock": 133, "rosenbrock2d": [133, 134], "rostamizadeh": 6, "roughli": [42, 43, 65, 114, 115, 117, 119], "round": [42, 43, 46, 48, 57, 60, 62, 65, 114, 115, 117, 119, 141], "rtype": 123, "ruhkopf": 154, "run": [3, 7, 8, 10, 12, 13, 14, 15, 18, 19, 22, 39, 40, 42, 43, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 99, 113, 114, 115, 116, 117, 118, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "run_wrapp": [114, 115, 117], "runhistori": [3, 22, 39, 40, 42, 43, 44, 45, 47, 48, 49, 57, 58, 61, 62, 64, 65, 127, 131, 133, 134, 135, 141, 144, 145], "runhistory_encod": [42, 43, 44, 45, 46, 47, 48, 49], "runhistoryeipsencod": [101, 104], "runhistoryencod": [42, 43, 44, 45, 49, 101, 105, 106, 107, 108, 109, 110], "runhistoryinversescaledencod": [101, 106], "runhistorylogencod": [101, 107], "runhistorylogscaledencod": [42, 47, 101, 108], "runhistoryscaledencod": [101, 109], "runhistorysqrtscaledencod": [101, 110], "runinfo": [13, 114, 115, 117], "runner": [8, 13, 65, 132, 134], "runtim": [2, 18, 19, 21, 24, 27, 65, 101, 104, 114, 115, 117, 119, 120], "runtimeerror": [21, 112], "runtimewarn": 132, "runvalu": 13, "rval": 132, "sai": 7, "same": [8, 13, 42, 44, 45, 46, 47, 48, 49, 57, 61, 62, 90, 92, 99, 113, 126, 135], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 61, 62, 64, 66, 67, 68, 70, 78, 80, 85, 86, 88, 121], "sample_from_prior": 80, "sample_funct": [68, 70], "sampler": [68, 78], "saniti": 13, "sass": 154, "satisfi": [3, 13], "save": [3, 13, 42, 43, 57, 58, 65, 99, 113, 121], "scalar": [2, 13, 15, 42, 43, 80, 99, 113], "scale": [42, 47, 72, 74, 79, 80, 81, 82, 84, 101, 102, 106, 108, 109, 110, 132], "scale_percentag": [101, 102, 104, 105, 107, 108, 109], "scaral": [99, 113], "scatter": [42, 43, 65, 114, 115, 117, 119, 131, 139, 141, 144, 145], "scenario": [4, 10, 12, 14, 15, 16, 17, 18, 19, 21, 24, 29, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 64, 65, 90, 92, 93, 101, 102, 104, 105, 107, 108, 109, 114, 115, 116, 119, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "schaffer": [146, 147, 151, 155], "schedul": [21, 94, 96], "scheme": [32, 33, 114, 115], "scipi": [32, 34, 50, 54, 56], "score": [4, 132, 136, 139, 140, 145], "scrambl": [50, 56], "scratch": [99, 113], "screenshot": 8, "script": [18, 21, 42, 43, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 149, 150, 151, 155], "scrollabl": 3, "search": [3, 13, 24, 29, 32, 34, 36, 37, 42, 44, 45, 47, 49, 133], "second": [24, 27, 35, 101, 104, 114, 117, 119, 121, 124, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "section": 13, "see": [3, 7, 8, 9, 13, 14, 21, 24, 28, 29, 50, 54, 56, 57, 59, 99, 113, 144], "seed": [3, 4, 7, 8, 10, 13, 18, 19, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "seeger": 6, "seen": [24, 26], "segment": 0, "select": [7, 13, 42, 43, 46, 48, 49, 50, 51, 53, 57, 62, 64, 99, 113, 114, 115, 145], "select_configur": [50, 51], "selector": [22, 42, 43, 45, 57, 58, 64], "self": [3, 13, 32, 33, 57, 58, 66, 67, 68, 72, 73, 78, 79, 80, 84, 94, 96, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "semant": [32, 33, 99, 113], "semanticscholar": 6, "semicolon": 18, "separ": [18, 42, 43, 120], "sequenc": [13, 50, 56], "sequenti": [7, 8, 154], "serial": [42, 43, 65, 114, 115, 116, 117, 119], "serializ": 121, "serv": 133, "server": 139, "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 61, 62, 65, 94, 96, 98, 99, 113, 114, 119, 121, 125, 126, 132, 135, 136, 144, 145, 148], "set_stat": [57, 58, 59, 61, 62], "setup": [8, 10, 42, 43, 49, 65, 125, 141], "setup_log": 125, "sever": [2, 35, 39, 40, 151], "sgd": [136, 139, 140, 145], "sgdclassifi": 140, "sh": [18, 148], "shape": [72, 73, 79, 81], "share": [42, 43, 65, 114, 115, 117, 119], "shortli": 13, "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 61, 64, 65, 66, 72, 73, 85, 94, 95, 96, 97, 98, 121, 127, 131, 133], "show": [3, 8, 13, 15, 18, 20, 120, 131, 133, 139, 141, 144, 145, 148, 151], "shown": [144, 145], "shrink": 132, "shuffl": [42, 46, 48, 57, 58, 61, 62, 136, 139, 140, 145], "shuffle_onc": [42, 46, 48, 57, 59, 62], "shut": 135, "sigma": [24, 26, 30, 31, 79, 83, 136], "sigmoid": 132, "silent": 21, "similar": 136, "simpl": [3, 7, 13, 20, 32, 34, 132, 135, 144, 148], "simpli": [14, 15, 42, 49, 57, 62, 148], "simplifi": [114, 115], "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 139, 144, 145], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 66, 85, 86, 88, 90, 91, 92, 93, 99, 113, 114, 115, 116, 117, 120, 139, 141], "single_work": [114, 117], "site": [132, 139], "situat": [57, 58], "size": [7, 121, 124, 136, 139], "skew": 136, "skks10": [6, 24, 26], "sklearn": [4, 72, 73, 132, 136, 139, 140, 145], "slice": 132, "slightli": 8, "slower": 12, "slurm": 21, "slurmclust": 21, "smac": [0, 1, 2, 3, 4, 7, 8, 10, 12, 13, 15, 17, 18, 19, 20, 21, 22, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "smac2": [8, 86, 88, 135], "smac3": [0, 1, 8, 132, 134, 154], "smac3_output": 121, "small": [90, 93], "smaller": [3, 42, 48, 86, 88, 123], "smbo": [7, 13, 39, 40, 41, 42, 43, 90, 91, 93, 94, 95, 96, 97, 98, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "snoek": [24, 28, 68, 78], "so": [7, 10, 13, 19, 24, 26, 27, 42, 43, 46, 48, 57, 62, 65, 100, 114, 115, 116, 117, 134, 135, 136, 139], "sobol": [3, 13, 42, 45, 47, 50, 56], "sobolinitialdesign": [42, 45, 47, 50, 56], "soft": [79, 84], "softtophatprior": [79, 84], "softwar": [0, 9], "solid": [24, 29, 136], "solut": [7, 8, 32, 34, 38], "solv": 2, "solver": [136, 139, 145], "some": [3, 21, 22, 57, 61, 72, 73, 101, 102, 134], "someth": [3, 13, 18], "sometim": [20, 21], "sort": [3, 13, 32, 36, 42, 44, 45, 47, 57, 58, 99, 113, 127, 145], "sort_bi": [57, 58, 99, 113], "sort_by_crowding_dist": 127, "sorted_list": 127, "sourc": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "souza": 6, "space": [2, 13, 18, 24, 26, 27, 29, 32, 34, 42, 45, 47, 48, 49, 50, 51, 79, 80, 84, 120, 121, 131, 132, 136, 139, 140], "spawn": [21, 121], "speak": [42, 43, 65, 114, 115, 117, 119], "spearmint": [79, 82, 84], "speci": 3, "special": [57, 58], "specif": [3, 8, 12, 13, 15, 20, 24, 25, 42, 43, 57, 58, 72, 73, 86, 88, 101, 104, 140], "specifi": [3, 4, 10, 15, 17, 20, 21, 32, 33, 42, 43, 57, 58, 60, 62, 65, 66, 67, 68, 70, 72, 73, 79, 83, 121, 123, 131, 134, 135, 139, 142, 143, 148, 151, 155], "speed": 2, "spend": [13, 65], "split": [42, 44, 47, 86, 88, 136, 139, 140, 145], "sqrt": [24, 26, 144], "squar": [101, 110, 144], "sriniva": 6, "stabl": 8, "stage": [14, 39, 40, 57, 62, 134, 139, 140, 141], "standard": [18, 19, 24, 30, 66, 67, 79, 83, 136, 141], "start": [13, 17, 21, 22, 39, 40, 41, 42, 43, 57, 58, 68, 78, 90, 91, 93, 114, 117, 134, 139, 140, 141, 145], "start_modulu": [94, 97], "start_tim": 145, "starttim": [13, 99, 100, 113], "stat": [39, 40, 50, 54, 56, 65, 135], "state": [10, 13, 57, 58, 59, 61, 62, 90, 91, 93, 94, 96, 97, 98, 99, 101, 102, 113, 132], "statement": [72, 73], "static": [42, 43, 44, 45, 46, 47, 48, 49, 121], "stationarykernelmixin": [72, 74], "statist": [13, 65], "statu": [13, 18, 42, 43, 57, 58, 99, 100, 111, 113, 114, 115, 117, 119, 120], "statustyp": [18, 99, 100, 101, 102, 111, 113, 114, 115, 117, 119, 120], "std": [66, 67], "stdout": [18, 20], "step": [13, 32, 36, 37, 57, 62, 68, 78, 116, 145], "stick": 136, "still": [8, 10, 13, 15, 18, 21, 99, 113, 114, 115, 116, 117, 133], "stochast": [32, 34, 142, 143, 151, 155], "stoll": 6, "stop": [13, 22, 39, 40, 64, 121, 134, 135, 139, 145], "stop_aft": 135, "stopcallback": 135, "store": [65, 99, 113, 139], "storn": [32, 34], "str": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 45, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 132, 140, 144, 145], "straight": 13, "strategi": [2, 7, 15, 42, 43, 44, 45, 47, 49, 50, 51, 90, 91], "stratifiedkfold": [136, 139, 140, 145], "stream": 20, "streamhandl": 20, "strict": 1, "string": [18, 42, 43, 120, 124], "strongli": 22, "stuck": 13, "sub": [101, 102], "subclass": [32, 33, 42, 43, 72, 73], "submiss": [114, 115], "submit": [13, 99, 113, 114, 115, 116, 117], "submit_command": 21, "submit_run": [114, 115, 117], "submit_tri": [114, 115, 116, 117], "subobject": [72, 73], "subprocess": [21, 120], "subset": [7, 14, 16, 99, 113, 121, 140], "subsystem": [0, 1], "subtract": [65, 132], "succes": [57, 62], "success": [0, 7, 14, 17, 18, 42, 46, 48, 57, 60, 62, 99, 100, 101, 102, 113, 120, 139, 140, 141], "successive_halv": [139, 140, 141], "successivehalv": [3, 57, 59, 62, 139], "sudo": 0, "suffici": [57, 58], "suggest": [0, 1, 114, 118], "suit": [42, 43], "sum": [72, 73, 99, 113], "sum_cost": [99, 113], "sumkernel": [72, 73], "summari": 60, "super": [72, 73], "superclass": [72, 73], "superior": 7, "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 61, 62, 72, 73, 137, 138, 151, 155], "sure": [8, 13, 15, 18, 68, 78, 94, 97, 114, 115, 117, 118, 135], "surrog": [3, 15, 16, 21, 22, 24, 25, 29, 39, 40, 42, 43, 44, 45, 47, 49, 64, 66, 67, 85, 101, 102, 121, 131, 132], "svc": [4, 132], "svm": [4, 132], "swig": [0, 1], "sy": 20, "system": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 72, 73, 135], "ta": 65, "tabl": [2, 3, 20], "take": [3, 8, 12, 13, 17, 42, 43, 66, 67, 86, 88, 114, 117, 139], "taken": [13, 32, 36, 101, 102, 127], "talwalkar": 6, "tanh": [136, 139, 145], "target": [4, 7, 8, 12, 14, 15, 21, 22, 42, 43, 65, 66, 67, 86, 88, 99, 113, 114, 115, 117, 118, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 149, 150, 151, 155], "target_funct": [3, 18, 42, 43, 44, 45, 46, 47, 48, 49, 114, 119, 120, 132, 144], "target_function_runn": [132, 145], "target_nam": 140, "targetalgorithmabortexcept": [114, 118], "targetfunctionrunn": [114, 119], "targetfunctionscriptrunn": [42, 43, 120], "task": [114, 116, 117, 121, 136], "techniqu": [13, 32, 34], "tell": [3, 13, 22, 42, 43, 57, 62, 65, 137, 138, 151, 155], "temporarili": 2, "term": [9, 141], "termin": [22, 32, 36, 37, 114, 117], "termination_cost_threshold": [19, 121], "test": [0, 1, 18, 66, 67, 68, 70, 99, 113, 120, 154], "text": [24, 26], "th": [94, 95, 96, 97, 98], "than": [7, 12, 32, 34, 42, 48, 49, 57, 58, 61, 65, 79, 80, 81, 86, 88, 121, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "thei": [3, 13, 17, 57, 61, 64], "them": [7, 13, 101, 106, 108, 109, 110, 114, 117, 139, 145], "theoret": [99, 113], "therebi": [7, 14], "therefor": [1, 3, 7, 13, 42, 49, 72, 73, 121, 139, 145], "theta": [79, 80, 84], "thi": [0, 1, 2, 3, 8, 9, 13, 15, 16, 20, 21, 22, 24, 25, 32, 33, 36, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 86, 88, 94, 95, 97, 99, 100, 113, 114, 115, 116, 117, 118, 119, 121, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "thing": 22, "thompson": [13, 24], "those": [10, 16], "thread": [12, 13, 21, 57, 58], "three": 64, "threshold": [22, 121], "throughout": 13, "thu": [8, 16, 136], "tim": 154, "time": [3, 8, 11, 12, 13, 17, 19, 35, 42, 43, 49, 57, 58, 65, 94, 97, 98, 99, 100, 113, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "timeout": 13, "titl": [139, 144, 145, 154], "togeth": [21, 24, 31, 42, 49, 57, 62], "toi": 133, "tolist": 145, "too": [131, 141], "took": [114, 115, 117, 119, 120], "tool": [2, 8, 154], "top": [42, 43], "tophat": [79, 84], "tophatprior": [79, 84], "total": [60, 86, 88, 114, 117, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 147, 148, 150, 151, 152, 155], "total_budget": [60, 141], "toward": 136, "traceback": 132, "track": [13, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62], "tracker": [8, 13, 57, 59, 62], "trade": [13, 24, 26, 27, 42, 43], "tradeoff": [24, 26], "trail_walltime_limit": 21, "train": [3, 4, 7, 13, 15, 16, 21, 39, 40, 42, 43, 47, 57, 58, 64, 66, 67, 68, 69, 70, 78, 86, 88, 101, 102, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "trajectori": [57, 58, 100, 139], "trajectoryitem": [57, 58, 100], "transform": [7, 13, 42, 43, 80, 86, 88, 90, 91, 92, 93, 101, 102, 104, 106, 107, 108, 109, 110, 140], "transform_response_valu": [101, 102, 104, 105, 106, 107, 108, 109, 110], "transformed_valu": [101, 102], "translat": [114, 115], "treat": 132, "tree": [42, 44, 47, 86, 88], "tri": 3, "trial": [3, 7, 13, 17, 19, 21, 39, 40, 42, 43, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "trial_info": [13, 114, 115, 116, 117], "trial_memory_limit": [21, 121], "trial_valu": 13, "trial_walltime_limit": 121, "trialinfo": [42, 43, 57, 58, 61, 62, 65, 99, 100, 113, 114, 115, 116, 117, 134, 135], "trialkei": [99, 100, 113], "trials_count": 134, "trials_us": 60, "trialvalu": [42, 43, 65, 99, 100, 113, 114, 115, 116, 117, 133, 134, 135], "trigger": [24, 29, 114, 118, 134], "true": [4, 10, 42, 43, 44, 47, 48, 60, 65, 68, 70, 72, 73, 78, 86, 88, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "trust": 7, "truth": [131, 141], "try": [3, 8, 42, 47, 140], "tunabl": 3, "tune": [3, 32, 37, 68, 78, 136], "tupl": [66, 67, 72, 73, 85, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 123, 126, 140, 144], "twice": [13, 144], "two": [3, 13, 64, 86, 88, 123, 140, 145, 154], "txt": 0, "type": [18, 24, 25, 26, 27, 28, 32, 33, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 79, 80, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 136, 139, 140, 141, 144], "typeerror": [101, 102], "typic": [2, 141], "u": [0, 1, 8], "ubuntu": 0, "uk": [90, 93], "ukci": [90, 93], "un": 13, "uncertainti": [86, 88], "under": [0, 1, 9], "underli": [12, 16], "understand": 3, "uniform": [3, 32, 36, 136], "uniform_configspac": [32, 36], "uniformintegerhyperparamet": 136, "uniformli": [7, 42, 49], "unit": [60, 68, 70, 78, 136, 141], "unpromis": [42, 49], "unsuit": 2, "until": [13, 114, 115, 116, 117, 135], "up": [2, 13, 57, 62, 64, 99, 113, 125, 131, 141], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 65, 90, 91, 93, 99, 113, 135], "update_acquisition_funct": 65, "update_cost": [99, 113], "update_from_json": [99, 113], "update_incumb": [57, 58, 62], "update_model": 65, "update_on_iteration_start": [13, 90, 91, 93], "upon": [42, 43, 114, 117], "upper": [79, 84, 99, 113, 136], "upper_bound": [79, 84], "url": 154, "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 84, 85, 86, 88, 94, 96, 97, 98, 99, 100, 101, 102, 106, 107, 108, 110, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 131, 132, 133, 134, 135, 136, 140, 141, 142, 143, 144, 145, 148, 149, 151, 154, 155], "use_batch_s": [139, 145], "use_coef": 132, "use_default_config": 121, "use_degre": 132, "use_gamma": 132, "use_gamma_valu": 132, "use_lr": [139, 145], "use_lr_init": [139, 145], "used_target_function_walltim": 65, "used_walltim": [57, 58, 65], "user": [0, 6, 10, 12, 13, 17, 18, 19, 20, 24, 29, 32, 36, 42, 43, 46, 48, 57, 61, 62, 65, 114, 115, 117, 119, 137, 138, 151, 155], "userwarn": 139, "uses_budget": [13, 57, 58, 61, 62], "uses_inst": [13, 57, 58, 61, 62], "uses_se": [13, 57, 58, 61, 62], "usr": 18, "usual": [7, 114, 118], "v": [18, 99, 113, 114, 117, 131, 140, 141, 148], "v1": [2, 18], "v18": 6, "v2": [2, 8, 17, 18], "v23": 154, "valid": [2, 3, 7, 42, 43, 57, 58, 62, 65, 66, 67, 121, 131, 133, 135, 136, 137, 138, 139, 140, 141, 144, 145, 148, 151, 155], "valu": [3, 13, 14, 15, 18, 19, 24, 25, 26, 27, 28, 29, 31, 39, 40, 42, 43, 49, 65, 66, 67, 68, 70, 72, 73, 78, 80, 86, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 123, 126, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "vanilla": [42, 45], "var": [66, 67, 85, 86, 88, 121, 140], "variabl": [0, 3, 18, 57, 58, 59, 61, 62, 65, 121, 136, 139, 145], "varianc": [13, 66, 67, 68, 70, 78, 85, 86, 88, 140], "varieti": 151, "variou": [3, 42, 43], "vector": [4, 32, 37, 101, 102, 137, 138, 151, 155], "vectorization_max_obtain": [32, 37], "vectorization_min_obtain": [32, 37], "veri": [42, 43, 49, 57, 58, 65, 114, 115, 117, 119], "versatil": 154, "version": [0, 1, 3, 8, 13, 19, 20, 32, 36], "very_small_numb": 132, "via": [13, 15, 21, 32, 34, 36, 38, 114, 115, 117, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "virtu": 139, "visit": 154, "volum": 154, "vstack": 145, "wa": [0, 10, 13, 19, 24, 25, 57, 62, 64, 65, 99, 113, 114, 117, 135], "wai": [3, 20, 57, 58, 134], "wait": [13, 57, 58, 114, 115, 116, 117], "walk": [32, 36, 37], "walker": [68, 78], "wall": [114, 119], "wallclock": [11, 13, 17, 19, 57, 58, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "walltim": [65, 100, 139], "walltime_limit": [3, 121, 139, 140, 145], "want": [3, 7, 8, 10, 13, 15, 16, 20, 22, 24, 31, 42, 49, 132, 135, 136, 139, 140, 141, 145, 149, 151, 154], "warm": [42, 43], "warn": [20, 99, 113, 132, 136, 139, 140, 145], "warranti": 9, "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 62, 64, 65, 68, 78, 80, 114, 115, 117, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151, 154], "weight": [7, 13, 24, 29, 32, 36, 42, 44, 45, 47, 49, 90, 92, 99, 113, 136, 146, 147, 151, 155], "well": [2, 13, 17, 24, 29, 114, 115, 132, 133, 136], "were": [13, 57, 58, 151], "what": [3, 8, 66, 67, 114, 115, 117], "when": [7, 13, 14, 17, 21, 42, 43, 44, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 86, 88, 114, 115, 117, 119, 121, 125, 139], "whenev": 80, "where": [3, 7, 8, 10, 13, 24, 25, 29, 32, 36, 42, 49, 140, 145], "wherea": 14, "whether": [10, 13, 24, 27, 29, 42, 43, 57, 58, 65, 72, 73, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 135], "which": [3, 7, 8, 13, 15, 18, 20, 21, 24, 25, 35, 42, 43, 44, 45, 49, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 89, 94, 96, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 127, 132, 133, 136, 139, 140, 154], "while": [13, 57, 58, 61, 62, 132], "white": [18, 42, 45, 72, 77, 120], "whitekernel": [72, 77], "whole": [66, 67], "why": [8, 14], "wide": [132, 136], "wider": 136, "wih": 18, "within": [2, 64, 114, 117], "without": [3, 9, 24, 27, 35], "wlog": 140, "won": [72, 73], "word": [7, 13, 19], "work": [0, 1, 7, 8, 13, 14, 16, 21, 22, 114, 117, 131, 132, 134, 145], "worker": [3, 11, 12, 13, 21, 114, 115, 116, 117, 121, 139], "workflow": 0, "workshop": [68, 70, 78, 80], "world": 14, "worri": 3, "worth": 13, "would": [0, 1, 3, 13, 42, 43, 65, 114, 115, 117, 119, 141], "wrap": [114, 117], "wrapper": [13, 66, 85, 114, 115, 116, 117], "written": [1, 57, 58, 154], "wrt": [99, 113], "www": [6, 90, 93], "x": [16, 24, 25, 26, 27, 30, 31, 66, 67, 68, 69, 70, 72, 73, 78, 79, 81, 85, 86, 88, 101, 102, 123, 131, 133, 135, 139, 141, 144, 145], "x0": [133, 134, 148], "x1": [133, 134], "x2": [133, 134], "x64": [132, 139], "x86_64": 0, "x_i": 133, "x_test": [68, 70], "xarg": 0, "xi": [24, 27, 30, 31, 42, 44, 45, 47, 131, 141], "xlabel": [139, 144, 145], "y": [66, 67, 72, 73, 86, 88, 101, 102, 123, 131, 135, 139, 141], "yaml": [20, 42, 43], "year": 154, "yet": [1, 8, 57, 62, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "yield": [13, 57, 62, 64], "ylabel": [139, 144, 145], "ylim": 139, "yml": [42, 43], "you": [0, 1, 2, 3, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 20, 21, 22, 42, 43, 47, 49, 68, 78, 114, 117, 121, 132, 134, 136, 139, 141, 144, 149, 151, 154], "your": [0, 1, 2, 3, 7, 8, 15, 16, 18, 20, 21, 22, 42, 43, 65, 114, 115, 117, 119, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "your_output_directori": 3, "zero": [68, 70, 78, 101, 106, 108, 109, 110, 133], "zip": 151, "zorder": [131, 141, 144], "\u03b8": [42, 49], "\u03c0bo": 6}, "titles": ["Experimental", "Installation", "Package Overview", "Getting Started", "Minimal Example", "API References", "References", "Glossary", "F.A.Q.", "License", "Continue", "Reproducibility", "Optimizations", "Components", "Multi-Fidelity Optimization", "Multi-Objective Optimization", "Optimization across Instances", "Ask-and-Tell Interface", "Command-Line Interface", "Stopping Criteria", "Logging", "Parallelism", "Advanced Usage", "smac.acquisition", "smac.acquisition.function", "smac.acquisition.function.abstract_acquisition_function", "smac.acquisition.function.confidence_bound", "smac.acquisition.function.expected_improvement", "smac.acquisition.function.integrated_acquisition_function", "smac.acquisition.function.prior_acqusition_function", "smac.acquisition.function.probability_improvement", "smac.acquisition.function.thompson", "smac.acquisition.maximizer", "smac.acquisition.maximizer.abstract_acqusition_maximizer", "smac.acquisition.maximizer.differential_evolution", "smac.acquisition.maximizer.helpers", "smac.acquisition.maximizer.local_and_random_search", "smac.acquisition.maximizer.local_search", "smac.acquisition.maximizer.random_search", "smac.callback", "smac.callback.callback", "smac.callback.metadata_callback", "smac.facade", "smac.facade.abstract_facade", "smac.facade.algorithm_configuration_facade", "smac.facade.blackbox_facade", "smac.facade.hyperband_facade", "smac.facade.hyperparameter_optimization_facade", "smac.facade.multi_fidelity_facade", "smac.facade.random_facade", "smac.initial_design", "smac.initial_design.abstract_initial_design", "smac.initial_design.default_design", "smac.initial_design.factorial_design", "smac.initial_design.latin_hypercube_design", "smac.initial_design.random_design", "smac.initial_design.sobol_design", "smac.intensifier", "smac.intensifier.abstract_intensifier", "smac.intensifier.hyperband", "smac.intensifier.hyperband_utils", "smac.intensifier.intensifier", "smac.intensifier.successive_halving", "smac.main", "smac.main.config_selector", "smac.main.smbo", "smac.model", "smac.model.abstract_model", "smac.model.gaussian_process", "smac.model.gaussian_process.abstract_gaussian_process", "smac.model.gaussian_process.gaussian_process", "smac.model.gaussian_process.gpytorch_gaussian_process", "smac.model.gaussian_process.kernels", "smac.model.gaussian_process.kernels.base_kernels", "smac.model.gaussian_process.kernels.hamming_kernel", "smac.model.gaussian_process.kernels.matern_kernel", "smac.model.gaussian_process.kernels.rbf_kernel", "smac.model.gaussian_process.kernels.white_kernel", "smac.model.gaussian_process.mcmc_gaussian_process", "smac.model.gaussian_process.priors", "smac.model.gaussian_process.priors.abstract_prior", "smac.model.gaussian_process.priors.gamma_prior", "smac.model.gaussian_process.priors.horseshoe_prior", "smac.model.gaussian_process.priors.log_normal_prior", "smac.model.gaussian_process.priors.tophat_prior", "smac.model.multi_objective_model", "smac.model.random_forest", "smac.model.random_forest.abstract_random_forest", "smac.model.random_forest.random_forest", "smac.model.random_model", "smac.multi_objective", "smac.multi_objective.abstract_multi_objective_algorithm", "smac.multi_objective.aggregation_strategy", "smac.multi_objective.parego", "smac.random_design", "smac.random_design.abstract_random_design", "smac.random_design.annealing_design", "smac.random_design.modulus_design", "smac.random_design.probability_design", "smac.runhistory", "smac.runhistory.dataclasses", "smac.runhistory.encoder", "smac.runhistory.encoder.abstract_encoder", "smac.runhistory.encoder.boing_encoder", "smac.runhistory.encoder.eips_encoder", "smac.runhistory.encoder.encoder", "smac.runhistory.encoder.inverse_scaled_encoder", "smac.runhistory.encoder.log_encoder", "smac.runhistory.encoder.log_scaled_encoder", "smac.runhistory.encoder.scaled_encoder", "smac.runhistory.encoder.sqrt_scaled_encoder", "smac.runhistory.enumerations", "smac.runhistory.errors", "smac.runhistory.runhistory", "smac.runner", "smac.runner.abstract_runner", "smac.runner.abstract_serial_runner", "smac.runner.dask_runner", "smac.runner.exceptions", "smac.runner.target_function_runner", "smac.runner.target_function_script_runner", "smac.scenario", "smac.utils", "smac.utils.configspace", "smac.utils.data_structures", "smac.utils.logging", "smac.utils.multi_objective", "smac.utils.pareto_front", "smac.utils.subspaces", "smac.utils.subspaces.boing_subspace", "smac.utils.subspaces.turbo_subspace", "Quadratic Function", "Support Vector Machine with Cross-Validation", "Ask-and-Tell", "Custom Callback", "Continue an Optimization", "User Priors over the Optimum", "Basics", "Computation times", "Multi-Layer Perceptron Using Multiple Epochs", "Stochastic Gradient Descent On Multiple Datasets", "Specify Number of Trials via a Total Budget in Hyperband", "Multi-Fidelity and Multi-Instances", "Computation times", "2D Schaffer Function with Objective Weights", "ParEGO", "Multi-Objective", "Computation times", "Call Target Function From Script", "Command-Line Interface", "Computation times", "Examples", "Computation times", "Overview Figure", "Home", "Computation times"], "titleterms": {"2d": 144, "A": 8, "On": 140, "abstract_acquisition_funct": 25, "abstract_acqusition_maxim": 33, "abstract_encod": 102, "abstract_facad": 43, "abstract_gaussian_process": 69, "abstract_initial_design": 51, "abstract_intensifi": 58, "abstract_model": 67, "abstract_multi_objective_algorithm": 91, "abstract_prior": 80, "abstract_random_design": 95, "abstract_random_forest": 87, "abstract_runn": 115, "abstract_serial_runn": 116, "acquisit": [13, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], "across": 16, "advanc": 22, "aggregation_strategi": 92, "algorithm": 13, "algorithm_configuration_facad": 44, "an": 135, "anaconda": 1, "annealing_design": 96, "api": 5, "ask": [17, 133], "automat": 19, "base_kernel": 73, "basic": [137, 151], "blackbox_facad": 45, "boing_encod": 103, "boing_subspac": 129, "budget": 141, "call": [18, 148], "callback": [13, 39, 40, 41, 134], "class": [25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 64, 65, 67, 69, 70, 73, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 88, 89, 91, 92, 93, 95, 96, 97, 98, 100, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 115, 116, 117, 119, 120, 121], "cluster": 21, "command": [18, 149, 151], "comparison": 2, "compon": 13, "comput": [138, 143, 147, 150, 152, 155], "conda": 1, "confidence_bound": 26, "config_selector": 64, "configspac": 123, "configur": [3, 13], "contact": 154, "continu": [10, 135], "cost": 19, "criteria": 19, "cross": 132, "custom": [20, 134], "dask_runn": 117, "data_structur": 124, "dataclass": 100, "dataset": 140, "default_design": 52, "descent": 140, "design": 13, "differential_evolut": 34, "eips_encod": 104, "encod": [13, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], "enumer": 111, "epoch": 139, "error": 112, "exampl": [4, 151], "except": [112, 118], "expected_improv": 27, "experiment": [0, 1], "f": 8, "facad": [3, 42, 43, 44, 45, 46, 47, 48, 49], "factorial_design": 53, "featur": 2, "fidel": [14, 142, 151], "figur": 153, "file": 20, "forg": 1, "from": 148, "function": [3, 13, 18, 24, 25, 26, 27, 28, 29, 30, 31, 60, 123, 124, 125, 126, 127, 131, 144, 148], "gamma_prior": 81, "gaussian_process": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], "get": 3, "glossari": 7, "gpytorch_gaussian_process": 71, "gradient": 140, "hamming_kernel": 74, "helper": 35, "home": 154, "horseshoe_prior": 82, "hyperband": [59, 141], "hyperband_facad": 46, "hyperband_util": 60, "hyperparameter_optimization_facad": 47, "initi": 13, "initial_design": [50, 51, 52, 53, 54, 55, 56], "instal": [0, 1], "instanc": [16, 142, 151], "integrated_acquisition_funct": 28, "intensifi": [13, 57, 58, 59, 60, 61, 62], "interfac": [17, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 149, 151], "inverse_scaled_encod": 106, "kernel": [72, 73, 74, 75, 76, 77], "latin_hypercube_design": 54, "layer": 139, "level": 20, "licens": 9, "line": [18, 149, 151], "local_and_random_search": 36, "local_search": 37, "log": [20, 125], "log_encod": 107, "log_normal_prior": 83, "log_scaled_encod": 108, "machin": 132, "main": [63, 64, 65], "matern_kernel": 75, "maxim": [13, 32, 33, 34, 35, 36, 37, 38], "mcmc_gaussian_process": 78, "metadata_callback": 41, "minim": 4, "model": [13, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89], "modul": [23, 24, 32, 39, 42, 50, 57, 63, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 122, 128], "modulus_design": 97, "multi": [13, 14, 15, 139, 142, 146, 151], "multi_fidelity_facad": 48, "multi_object": [90, 91, 92, 93, 126], "multi_objective_model": 85, "multipl": [139, 140], "navig": 22, "number": 141, "object": [13, 15, 144, 146, 151], "optim": [12, 14, 15, 16, 18, 135], "optimum": 136, "over": 136, "overview": [2, 153], "packag": 2, "parallel": 21, "parego": [93, 145], "pareto_front": 127, "perceptron": 139, "prior": [79, 80, 81, 82, 83, 84, 136], "prior_acqusition_funct": 29, "probability_design": 98, "probability_improv": 30, "q": 8, "quadrat": 131, "random": 13, "random_design": [55, 94, 95, 96, 97, 98], "random_facad": 49, "random_forest": [86, 87, 88], "random_model": 89, "random_search": 38, "rbf_kernel": 76, "refer": [5, 6], "reproduc": 11, "requir": 1, "return": 18, "run": 21, "runhistori": [13, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113], "runner": [114, 115, 116, 117, 118, 119, 120], "scaled_encod": 109, "scenario": [3, 121], "schaffer": 144, "script": 148, "selector": 13, "smac": [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], "smbo": 65, "sobol_design": 56, "space": 3, "specifi": 141, "sqrt_scaled_encod": 110, "start": [3, 18], "stochast": 140, "stop": 19, "subspac": [128, 129, 130], "successive_halv": 62, "support": 132, "surrog": 13, "target": [3, 18, 148], "target_function_runn": 119, "target_function_script_runn": 120, "tell": [17, 133], "termin": 19, "thompson": 31, "threshold": 19, "time": [138, 143, 147, 150, 152, 155], "tophat_prior": 84, "total": 141, "trial": 141, "turbo_subspac": 130, "us": 139, "usag": 22, "user": 136, "util": [122, 123, 124, 125, 126, 127, 128, 129, 130], "valid": 132, "vector": 132, "via": [0, 1, 141], "weight": 144, "white_kernel": 77, "window": [0, 1], "wsl": [0, 1]}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"2D Schaffer Function with Objective Weights": [[144, null]], "API References": [[5, null]], "Acquisition Function": [[13, "acquisition-function"]], "Acquisition Maximizer": [[13, "acquisition-maximizer"]], "Advanced Usage": [[22, null]], "Anaconda": [[1, "anaconda"]], "Ask-and-Tell": [[133, null]], "Ask-and-Tell Interface": [[17, null]], "Automatically Stopping": [[19, "automatically-stopping"]], "Basics": [[137, null], [151, "basics"]], "Call Target Function From Script": [[148, null]], "Call of the Target Function": [[18, "call-of-the-target-function"]], "Callback": [[13, "callback"]], "Classes": [[25, "classes"], [26, "classes"], [27, "classes"], [28, "classes"], [29, "classes"], [30, "classes"], [31, "classes"], [33, "classes"], [34, "classes"], [35, "classes"], [36, "classes"], [37, "classes"], [38, "classes"], [40, "classes"], [41, "classes"], [43, "classes"], [44, "classes"], [45, "classes"], [46, "classes"], [47, "classes"], [48, "classes"], [49, "classes"], [51, "classes"], [52, "classes"], [53, "classes"], [54, "classes"], [55, "classes"], [56, "classes"], [58, "classes"], [59, "classes"], [61, "classes"], [62, "classes"], [64, "classes"], [65, "classes"], [67, "classes"], [69, "classes"], [70, "classes"], [73, "classes"], [74, "classes"], [75, "classes"], [76, "classes"], [77, "classes"], [78, "classes"], [80, "classes"], [81, "classes"], [82, "classes"], [83, "classes"], [84, "classes"], [85, "classes"], [87, "classes"], [88, "classes"], [89, "classes"], [91, "classes"], [92, "classes"], [93, "classes"], [95, "classes"], [96, "classes"], [97, "classes"], [98, "classes"], [100, "classes"], [102, "classes"], [104, "classes"], [105, "classes"], [106, "classes"], [107, "classes"], [108, "classes"], [109, "classes"], [110, "classes"], [111, "classes"], [113, "classes"], [115, "classes"], [116, "classes"], [117, "classes"], [119, "classes"], [120, "classes"], [121, "classes"]], "Command-Line Interface": [[18, null], [149, null], [151, "command-line-interface"]], "Comparison": [[2, "comparison"]], "Components": [[13, null]], "Computation times": [[138, null], [143, null], [147, null], [150, null], [152, null], [155, null]], "Conda-forge": [[1, "conda-forge"]], "Configuration Selector": [[13, "configuration-selector"]], "Configuration Space": [[3, "configuration-space"]], "Contact": [[154, "contact"]], "Continue": [[10, null]], "Continue an Optimization": [[135, null]], "Custom Callback": [[134, null]], "Custom File": [[20, "custom-file"]], "Examples": [[151, null]], "Exceptions": [[112, "exceptions"], [118, "exceptions"]], "Experimental": [[0, null]], "F.A.Q.": [[8, null]], "Facade": [[3, "facade"]], "Features": [[2, "features"]], "Functions": [[60, "functions"], [123, "functions"], [124, "functions"], [125, "functions"], [126, "functions"], [127, "functions"]], "Getting Started": [[3, null]], "Glossary": [[7, null]], "Home": [[154, null]], "Initial Design": [[13, "initial-design"]], "Installation": [[1, null]], "Installation in Windows via WSL": [[0, "installation-in-windows-via-wsl"]], "Intensifier": [[13, "intensifier"]], "Interfaces": [[23, "interfaces"], [24, "interfaces"], [25, "interfaces"], [26, "interfaces"], [27, "interfaces"], [28, "interfaces"], [29, "interfaces"], [30, "interfaces"], [31, "interfaces"], [32, "interfaces"], [33, "interfaces"], [34, "interfaces"], [35, "interfaces"], [36, "interfaces"], [37, "interfaces"], [38, "interfaces"], [39, "interfaces"], [40, "interfaces"], [41, "interfaces"], [42, "interfaces"], [43, "interfaces"], [44, "interfaces"], [45, "interfaces"], [46, "interfaces"], [47, "interfaces"], [48, "interfaces"], [49, "interfaces"], [50, "interfaces"], [51, "interfaces"], [52, "interfaces"], [53, "interfaces"], [54, "interfaces"], [55, "interfaces"], [56, "interfaces"], [57, "interfaces"], [58, "interfaces"], [59, "interfaces"], [60, "interfaces"], [61, "interfaces"], [62, "interfaces"], [63, "interfaces"], [64, "interfaces"], [65, "interfaces"], [66, "interfaces"], [67, "interfaces"], [68, "interfaces"], [69, "interfaces"], [70, "interfaces"], [71, "interfaces"], [72, "interfaces"], [73, "interfaces"], [74, "interfaces"], [75, "interfaces"], [76, "interfaces"], [77, "interfaces"], [78, "interfaces"], [79, "interfaces"], [80, "interfaces"], [81, "interfaces"], [82, "interfaces"], [83, "interfaces"], [84, "interfaces"], [85, "interfaces"], [86, "interfaces"], [87, "interfaces"], [88, "interfaces"], [89, "interfaces"], [90, "interfaces"], [91, "interfaces"], [92, "interfaces"], [93, "interfaces"], [94, "interfaces"], [95, "interfaces"], [96, "interfaces"], [97, "interfaces"], [98, "interfaces"], [99, "interfaces"], [100, "interfaces"], [101, "interfaces"], [102, "interfaces"], [103, "interfaces"], [104, "interfaces"], [105, "interfaces"], [106, "interfaces"], [107, "interfaces"], [108, "interfaces"], [109, "interfaces"], [110, "interfaces"], [111, "interfaces"], [112, "interfaces"], [113, "interfaces"], [114, "interfaces"], [115, "interfaces"], [116, "interfaces"], [117, "interfaces"], [118, "interfaces"], [119, "interfaces"], [120, "interfaces"], [121, "interfaces"], [122, "interfaces"], [123, "interfaces"], [124, "interfaces"], [125, "interfaces"], [126, "interfaces"], [127, "interfaces"], [128, "interfaces"], [129, "interfaces"], [130, "interfaces"]], "Level": [[20, "level"]], "License": [[9, null]], "Logging": [[20, null]], "Minimal Example": [[4, null]], "Modules": [[23, "modules"], [24, "modules"], [32, "modules"], [39, "modules"], [42, "modules"], [50, "modules"], [57, "modules"], [63, "modules"], [66, "modules"], [68, "modules"], [72, "modules"], [79, "modules"], [86, "modules"], [90, "modules"], [94, "modules"], [99, "modules"], [101, "modules"], [114, "modules"], [122, "modules"], [128, "modules"]], "Multi-Fidelity Optimization": [[14, null]], "Multi-Fidelity and Multi-Instances": [[142, null], [151, "multi-fidelity-and-multi-instances"]], "Multi-Layer Perceptron Using Multiple Epochs": [[139, null]], "Multi-Objective": [[146, null], [151, "multi-objective"]], "Multi-Objective Algorithm": [[13, "multi-objective-algorithm"]], "Multi-Objective Optimization": [[15, null]], "Navigation": [[22, "navigation"]], "Optimization across Instances": [[16, null]], "Optimizations": [[12, null]], "Overview Figure": [[153, null]], "Package Overview": [[2, null]], "ParEGO": [[145, null]], "Parallelism": [[21, null]], "Quadratic Function": [[131, null]], "Random Design": [[13, "random-design"]], "References": [[6, null]], "Reproducibility": [[11, null]], "Requirements": [[1, "requirements"]], "Return of the Target Function": [[18, "return-of-the-target-function"]], "RunHistory": [[13, "runhistory"]], "RunHistory Encoder": [[13, "runhistory-encoder"]], "Running on a Cluster": [[21, "running-on-a-cluster"]], "Scenario": [[3, "scenario"]], "Specify Number of Trials via a Total Budget in Hyperband": [[141, null]], "Start the Optimization": [[18, "start-the-optimization"]], "Stochastic Gradient Descent On Multiple Datasets": [[140, null]], "Stopping Criteria": [[19, null]], "Support Vector Machine with Cross-Validation": [[132, null]], "Surrogate Model": [[13, "surrogate-model"]], "Target Function": [[3, "target-function"]], "Termination Cost Threshold": [[19, "termination-cost-threshold"]], "User Priors over the Optimum": [[136, null]], "Windows via WSL (Experimental)": [[1, "windows-via-wsl-experimental"]], "smac.acquisition": [[23, null]], "smac.acquisition.function": [[24, null]], "smac.acquisition.function.abstract_acquisition_function": [[25, null]], "smac.acquisition.function.confidence_bound": [[26, null]], "smac.acquisition.function.expected_improvement": [[27, null]], "smac.acquisition.function.integrated_acquisition_function": [[28, null]], "smac.acquisition.function.prior_acqusition_function": [[29, null]], "smac.acquisition.function.probability_improvement": [[30, null]], "smac.acquisition.function.thompson": [[31, null]], "smac.acquisition.maximizer": [[32, null]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, null]], "smac.acquisition.maximizer.differential_evolution": [[34, null]], "smac.acquisition.maximizer.helpers": [[35, null]], "smac.acquisition.maximizer.local_and_random_search": [[36, null]], "smac.acquisition.maximizer.local_search": [[37, null]], "smac.acquisition.maximizer.random_search": [[38, null]], "smac.callback": [[39, null]], "smac.callback.callback": [[40, null]], "smac.callback.metadata_callback": [[41, null]], "smac.facade": [[42, null]], "smac.facade.abstract_facade": [[43, null]], "smac.facade.algorithm_configuration_facade": [[44, null]], "smac.facade.blackbox_facade": [[45, null]], "smac.facade.hyperband_facade": [[46, null]], "smac.facade.hyperparameter_optimization_facade": [[47, null]], "smac.facade.multi_fidelity_facade": [[48, null]], "smac.facade.random_facade": [[49, null]], "smac.initial_design": [[50, null]], "smac.initial_design.abstract_initial_design": [[51, null]], "smac.initial_design.default_design": [[52, null]], "smac.initial_design.factorial_design": [[53, null]], "smac.initial_design.latin_hypercube_design": [[54, null]], "smac.initial_design.random_design": [[55, null]], "smac.initial_design.sobol_design": [[56, null]], "smac.intensifier": [[57, null]], "smac.intensifier.abstract_intensifier": [[58, null]], "smac.intensifier.hyperband": [[59, null]], "smac.intensifier.hyperband_utils": [[60, null]], "smac.intensifier.intensifier": [[61, null]], "smac.intensifier.successive_halving": [[62, null]], "smac.main": [[63, null]], "smac.main.config_selector": [[64, null]], "smac.main.smbo": [[65, null]], "smac.model": [[66, null]], "smac.model.abstract_model": [[67, null]], "smac.model.gaussian_process": [[68, null]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, null]], "smac.model.gaussian_process.gaussian_process": [[70, null]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, null]], "smac.model.gaussian_process.kernels": [[72, null]], "smac.model.gaussian_process.kernels.base_kernels": [[73, null]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, null]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, null]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, null]], "smac.model.gaussian_process.kernels.white_kernel": [[77, null]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, null]], "smac.model.gaussian_process.priors": [[79, null]], "smac.model.gaussian_process.priors.abstract_prior": [[80, null]], "smac.model.gaussian_process.priors.gamma_prior": [[81, null]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, null]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, null]], "smac.model.gaussian_process.priors.tophat_prior": [[84, null]], "smac.model.multi_objective_model": [[85, null]], "smac.model.random_forest": [[86, null]], "smac.model.random_forest.abstract_random_forest": [[87, null]], "smac.model.random_forest.random_forest": [[88, null]], "smac.model.random_model": [[89, null]], "smac.multi_objective": [[90, null]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, null]], "smac.multi_objective.aggregation_strategy": [[92, null]], "smac.multi_objective.parego": [[93, null]], "smac.random_design": [[94, null]], "smac.random_design.abstract_random_design": [[95, null]], "smac.random_design.annealing_design": [[96, null]], "smac.random_design.modulus_design": [[97, null]], "smac.random_design.probability_design": [[98, null]], "smac.runhistory": [[99, null]], "smac.runhistory.dataclasses": [[100, null]], "smac.runhistory.encoder": [[101, null]], "smac.runhistory.encoder.abstract_encoder": [[102, null]], "smac.runhistory.encoder.boing_encoder": [[103, null]], "smac.runhistory.encoder.eips_encoder": [[104, null]], "smac.runhistory.encoder.encoder": [[105, null]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, null]], "smac.runhistory.encoder.log_encoder": [[107, null]], "smac.runhistory.encoder.log_scaled_encoder": [[108, null]], "smac.runhistory.encoder.scaled_encoder": [[109, null]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, null]], "smac.runhistory.enumerations": [[111, null]], "smac.runhistory.errors": [[112, null]], "smac.runhistory.runhistory": [[113, null]], "smac.runner": [[114, null]], "smac.runner.abstract_runner": [[115, null]], "smac.runner.abstract_serial_runner": [[116, null]], "smac.runner.dask_runner": [[117, null]], "smac.runner.exceptions": [[118, null]], "smac.runner.target_function_runner": [[119, null]], "smac.runner.target_function_script_runner": [[120, null]], "smac.scenario": [[121, null]], "smac.utils": [[122, null]], "smac.utils.configspace": [[123, null]], "smac.utils.data_structures": [[124, null]], "smac.utils.logging": [[125, null]], "smac.utils.multi_objective": [[126, null]], "smac.utils.pareto_front": [[127, null]], "smac.utils.subspaces": [[128, null]], "smac.utils.subspaces.boing_subspace": [[129, null]], "smac.utils.subspaces.turbo_subspace": [[130, null]]}, "docnames": ["10_experimental", "1_installation", "2_package_overview", "3_getting_started", "4_minimal_example", "5_api", "6_references", "7_glossary", "8_faq", "9_license", "advanced_usage/10_continue", "advanced_usage/11_reproducibility", "advanced_usage/12_optimizations", "advanced_usage/1_components", "advanced_usage/2_multi_fidelity", "advanced_usage/3_multi_objective", "advanced_usage/4_instances", "advanced_usage/5_ask_and_tell", "advanced_usage/6_commandline", "advanced_usage/7_stopping_criteria", "advanced_usage/8_logging", "advanced_usage/9_parallelism", "advanced_usage/index", "api/smac.acquisition", "api/smac.acquisition.function", "api/smac.acquisition.function.abstract_acquisition_function", "api/smac.acquisition.function.confidence_bound", "api/smac.acquisition.function.expected_improvement", "api/smac.acquisition.function.integrated_acquisition_function", "api/smac.acquisition.function.prior_acqusition_function", "api/smac.acquisition.function.probability_improvement", "api/smac.acquisition.function.thompson", "api/smac.acquisition.maximizer", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer", "api/smac.acquisition.maximizer.differential_evolution", "api/smac.acquisition.maximizer.helpers", "api/smac.acquisition.maximizer.local_and_random_search", "api/smac.acquisition.maximizer.local_search", "api/smac.acquisition.maximizer.random_search", "api/smac.callback", "api/smac.callback.callback", "api/smac.callback.metadata_callback", "api/smac.facade", "api/smac.facade.abstract_facade", "api/smac.facade.algorithm_configuration_facade", "api/smac.facade.blackbox_facade", "api/smac.facade.hyperband_facade", "api/smac.facade.hyperparameter_optimization_facade", "api/smac.facade.multi_fidelity_facade", "api/smac.facade.random_facade", "api/smac.initial_design", "api/smac.initial_design.abstract_initial_design", "api/smac.initial_design.default_design", "api/smac.initial_design.factorial_design", "api/smac.initial_design.latin_hypercube_design", "api/smac.initial_design.random_design", "api/smac.initial_design.sobol_design", "api/smac.intensifier", "api/smac.intensifier.abstract_intensifier", "api/smac.intensifier.hyperband", "api/smac.intensifier.hyperband_utils", "api/smac.intensifier.intensifier", "api/smac.intensifier.successive_halving", "api/smac.main", "api/smac.main.config_selector", "api/smac.main.smbo", "api/smac.model", "api/smac.model.abstract_model", "api/smac.model.gaussian_process", "api/smac.model.gaussian_process.abstract_gaussian_process", "api/smac.model.gaussian_process.gaussian_process", "api/smac.model.gaussian_process.gpytorch_gaussian_process", "api/smac.model.gaussian_process.kernels", "api/smac.model.gaussian_process.kernels.base_kernels", "api/smac.model.gaussian_process.kernels.hamming_kernel", "api/smac.model.gaussian_process.kernels.matern_kernel", "api/smac.model.gaussian_process.kernels.rbf_kernel", "api/smac.model.gaussian_process.kernels.white_kernel", "api/smac.model.gaussian_process.mcmc_gaussian_process", "api/smac.model.gaussian_process.priors", "api/smac.model.gaussian_process.priors.abstract_prior", "api/smac.model.gaussian_process.priors.gamma_prior", "api/smac.model.gaussian_process.priors.horseshoe_prior", "api/smac.model.gaussian_process.priors.log_normal_prior", "api/smac.model.gaussian_process.priors.tophat_prior", "api/smac.model.multi_objective_model", "api/smac.model.random_forest", "api/smac.model.random_forest.abstract_random_forest", "api/smac.model.random_forest.random_forest", "api/smac.model.random_model", "api/smac.multi_objective", "api/smac.multi_objective.abstract_multi_objective_algorithm", "api/smac.multi_objective.aggregation_strategy", "api/smac.multi_objective.parego", "api/smac.random_design", "api/smac.random_design.abstract_random_design", "api/smac.random_design.annealing_design", "api/smac.random_design.modulus_design", "api/smac.random_design.probability_design", "api/smac.runhistory", "api/smac.runhistory.dataclasses", "api/smac.runhistory.encoder", "api/smac.runhistory.encoder.abstract_encoder", "api/smac.runhistory.encoder.boing_encoder", "api/smac.runhistory.encoder.eips_encoder", "api/smac.runhistory.encoder.encoder", "api/smac.runhistory.encoder.inverse_scaled_encoder", "api/smac.runhistory.encoder.log_encoder", "api/smac.runhistory.encoder.log_scaled_encoder", "api/smac.runhistory.encoder.scaled_encoder", "api/smac.runhistory.encoder.sqrt_scaled_encoder", "api/smac.runhistory.enumerations", "api/smac.runhistory.errors", "api/smac.runhistory.runhistory", "api/smac.runner", "api/smac.runner.abstract_runner", "api/smac.runner.abstract_serial_runner", "api/smac.runner.dask_runner", "api/smac.runner.exceptions", "api/smac.runner.target_function_runner", "api/smac.runner.target_function_script_runner", "api/smac.scenario", "api/smac.utils", "api/smac.utils.configspace", "api/smac.utils.data_structures", "api/smac.utils.logging", "api/smac.utils.multi_objective", "api/smac.utils.pareto_front", "api/smac.utils.subspaces", "api/smac.utils.subspaces.boing_subspace", "api/smac.utils.subspaces.turbo_subspace", "examples/1_basics/1_quadratic_function", "examples/1_basics/2_svm_cv", "examples/1_basics/3_ask_and_tell", "examples/1_basics/4_callback", "examples/1_basics/5_continue", "examples/1_basics/6_priors", "examples/1_basics/index", "examples/1_basics/sg_execution_times", "examples/2_multi_fidelity/1_mlp_epochs", "examples/2_multi_fidelity/2_sgd_datasets", "examples/2_multi_fidelity/3_specify_HB_via_total_budget", "examples/2_multi_fidelity/index", "examples/2_multi_fidelity/sg_execution_times", "examples/3_multi_objective/1_schaffer", "examples/3_multi_objective/2_parego", "examples/3_multi_objective/index", "examples/3_multi_objective/sg_execution_times", "examples/5_commandline/1_call_target_function_script", "examples/5_commandline/index", "examples/5_commandline/sg_execution_times", "examples/index", "examples/sg_execution_times", "images/README", "index", "sg_execution_times"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1}, "filenames": ["10_experimental.rst", "1_installation.rst", "2_package_overview.rst", "3_getting_started.rst", "4_minimal_example.rst", "5_api.rst", "6_references.rst", "7_glossary.rst", "8_faq.rst", "9_license.rst", "advanced_usage/10_continue.rst", "advanced_usage/11_reproducibility.rst", "advanced_usage/12_optimizations.rst", "advanced_usage/1_components.rst", "advanced_usage/2_multi_fidelity.rst", "advanced_usage/3_multi_objective.rst", "advanced_usage/4_instances.rst", "advanced_usage/5_ask_and_tell.rst", "advanced_usage/6_commandline.rst", "advanced_usage/7_stopping_criteria.rst", "advanced_usage/8_logging.rst", "advanced_usage/9_parallelism.rst", "advanced_usage/index.rst", "api/smac.acquisition.rst", "api/smac.acquisition.function.rst", "api/smac.acquisition.function.abstract_acquisition_function.rst", "api/smac.acquisition.function.confidence_bound.rst", "api/smac.acquisition.function.expected_improvement.rst", "api/smac.acquisition.function.integrated_acquisition_function.rst", "api/smac.acquisition.function.prior_acqusition_function.rst", "api/smac.acquisition.function.probability_improvement.rst", "api/smac.acquisition.function.thompson.rst", "api/smac.acquisition.maximizer.rst", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer.rst", "api/smac.acquisition.maximizer.differential_evolution.rst", "api/smac.acquisition.maximizer.helpers.rst", "api/smac.acquisition.maximizer.local_and_random_search.rst", "api/smac.acquisition.maximizer.local_search.rst", "api/smac.acquisition.maximizer.random_search.rst", "api/smac.callback.rst", "api/smac.callback.callback.rst", "api/smac.callback.metadata_callback.rst", "api/smac.facade.rst", "api/smac.facade.abstract_facade.rst", "api/smac.facade.algorithm_configuration_facade.rst", "api/smac.facade.blackbox_facade.rst", "api/smac.facade.hyperband_facade.rst", "api/smac.facade.hyperparameter_optimization_facade.rst", "api/smac.facade.multi_fidelity_facade.rst", "api/smac.facade.random_facade.rst", "api/smac.initial_design.rst", "api/smac.initial_design.abstract_initial_design.rst", "api/smac.initial_design.default_design.rst", "api/smac.initial_design.factorial_design.rst", "api/smac.initial_design.latin_hypercube_design.rst", "api/smac.initial_design.random_design.rst", "api/smac.initial_design.sobol_design.rst", "api/smac.intensifier.rst", "api/smac.intensifier.abstract_intensifier.rst", "api/smac.intensifier.hyperband.rst", "api/smac.intensifier.hyperband_utils.rst", "api/smac.intensifier.intensifier.rst", "api/smac.intensifier.successive_halving.rst", "api/smac.main.rst", "api/smac.main.config_selector.rst", "api/smac.main.smbo.rst", "api/smac.model.rst", "api/smac.model.abstract_model.rst", "api/smac.model.gaussian_process.rst", "api/smac.model.gaussian_process.abstract_gaussian_process.rst", "api/smac.model.gaussian_process.gaussian_process.rst", "api/smac.model.gaussian_process.gpytorch_gaussian_process.rst", "api/smac.model.gaussian_process.kernels.rst", "api/smac.model.gaussian_process.kernels.base_kernels.rst", "api/smac.model.gaussian_process.kernels.hamming_kernel.rst", "api/smac.model.gaussian_process.kernels.matern_kernel.rst", "api/smac.model.gaussian_process.kernels.rbf_kernel.rst", "api/smac.model.gaussian_process.kernels.white_kernel.rst", "api/smac.model.gaussian_process.mcmc_gaussian_process.rst", "api/smac.model.gaussian_process.priors.rst", "api/smac.model.gaussian_process.priors.abstract_prior.rst", "api/smac.model.gaussian_process.priors.gamma_prior.rst", "api/smac.model.gaussian_process.priors.horseshoe_prior.rst", "api/smac.model.gaussian_process.priors.log_normal_prior.rst", "api/smac.model.gaussian_process.priors.tophat_prior.rst", "api/smac.model.multi_objective_model.rst", "api/smac.model.random_forest.rst", "api/smac.model.random_forest.abstract_random_forest.rst", "api/smac.model.random_forest.random_forest.rst", "api/smac.model.random_model.rst", "api/smac.multi_objective.rst", "api/smac.multi_objective.abstract_multi_objective_algorithm.rst", "api/smac.multi_objective.aggregation_strategy.rst", "api/smac.multi_objective.parego.rst", "api/smac.random_design.rst", "api/smac.random_design.abstract_random_design.rst", "api/smac.random_design.annealing_design.rst", "api/smac.random_design.modulus_design.rst", "api/smac.random_design.probability_design.rst", "api/smac.runhistory.rst", "api/smac.runhistory.dataclasses.rst", "api/smac.runhistory.encoder.rst", "api/smac.runhistory.encoder.abstract_encoder.rst", "api/smac.runhistory.encoder.boing_encoder.rst", "api/smac.runhistory.encoder.eips_encoder.rst", "api/smac.runhistory.encoder.encoder.rst", "api/smac.runhistory.encoder.inverse_scaled_encoder.rst", "api/smac.runhistory.encoder.log_encoder.rst", "api/smac.runhistory.encoder.log_scaled_encoder.rst", "api/smac.runhistory.encoder.scaled_encoder.rst", "api/smac.runhistory.encoder.sqrt_scaled_encoder.rst", "api/smac.runhistory.enumerations.rst", "api/smac.runhistory.errors.rst", "api/smac.runhistory.runhistory.rst", "api/smac.runner.rst", "api/smac.runner.abstract_runner.rst", "api/smac.runner.abstract_serial_runner.rst", "api/smac.runner.dask_runner.rst", "api/smac.runner.exceptions.rst", "api/smac.runner.target_function_runner.rst", "api/smac.runner.target_function_script_runner.rst", "api/smac.scenario.rst", "api/smac.utils.rst", "api/smac.utils.configspace.rst", "api/smac.utils.data_structures.rst", "api/smac.utils.logging.rst", "api/smac.utils.multi_objective.rst", "api/smac.utils.pareto_front.rst", "api/smac.utils.subspaces.rst", "api/smac.utils.subspaces.boing_subspace.rst", "api/smac.utils.subspaces.turbo_subspace.rst", "examples/1_basics/1_quadratic_function.rst", "examples/1_basics/2_svm_cv.rst", "examples/1_basics/3_ask_and_tell.rst", "examples/1_basics/4_callback.rst", "examples/1_basics/5_continue.rst", "examples/1_basics/6_priors.rst", "examples/1_basics/index.rst", "examples/1_basics/sg_execution_times.rst", "examples/2_multi_fidelity/1_mlp_epochs.rst", "examples/2_multi_fidelity/2_sgd_datasets.rst", "examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst", "examples/2_multi_fidelity/index.rst", "examples/2_multi_fidelity/sg_execution_times.rst", "examples/3_multi_objective/1_schaffer.rst", "examples/3_multi_objective/2_parego.rst", "examples/3_multi_objective/index.rst", "examples/3_multi_objective/sg_execution_times.rst", "examples/5_commandline/1_call_target_function_script.rst", "examples/5_commandline/index.rst", "examples/5_commandline/sg_execution_times.rst", "examples/index.rst", "examples/sg_execution_times.rst", "images/README.md", "index.rst", "sg_execution_times.rst"], "indexentries": {"__call__() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.constantkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.productkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.sumkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.constantkernel method)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.productkernel method)": [[72, "smac.model.gaussian_process.kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.sumkernel method)": [[72, "smac.model.gaussian_process.kernels.SumKernel.__call__", false]], "__call__() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.aggregation_strategy.meanaggregationstrategy method)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.meanaggregationstrategy method)": [[90, "smac.multi_objective.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.__call__", false]], "__call__() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.__call__", false]], "__call__() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.__call__", false]], "__call__() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.__call__", false]], "__call__() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.__call__", false]], "__contains__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__contains__", false]], "__contains__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__contains__", false]], "__del__() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.__del__", false]], "__del__() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.__del__", false]], "__eq__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__eq__", false]], "__eq__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__eq__", false]], "__getitem__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__getitem__", false]], "__getitem__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__getitem__", false]], "__iter__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.main.config_selector.configselector method)": [[64, "smac.main.config_selector.ConfigSelector.__iter__", false]], "__iter__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__iter__", false]], "__iter__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__iter__", false]], "__len__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__len__", false]], "__len__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__len__", false]], "__post_init__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.__post_init__", false]], "_acquisition_function (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._acquisition_function", false]], "_acquisition_function (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._acquisition_function", false]], "_beta (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._beta", false]], "_beta (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._beta", false]], "_eta (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._eta", false]], "_eta (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._eta", false]], "_eta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._eta", false]], "_eta (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._eta", false]], "_functions (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._functions", false]], "_functions (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._functions", false]], "_log (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._log", false]], "_log (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._log", false]], "_num_data (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._num_data", false]], "_num_data (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._num_data", false]], "_xi (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._xi", false]], "_xi (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._xi", false]], "abstractacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction", false]], "abstractacquisitionfunction (class in smac.acquisition.function.abstract_acquisition_function)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer.abstract_acqusition_maximizer)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer", false]], "abstractfacade (class in smac.facade)": [[42, "smac.facade.AbstractFacade", false]], "abstractfacade (class in smac.facade.abstract_facade)": [[43, "smac.facade.abstract_facade.AbstractFacade", false]], "abstractgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess", false]], "abstractgaussianprocess (class in smac.model.gaussian_process.abstract_gaussian_process)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess", false]], "abstractinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.AbstractInitialDesign", false]], "abstractinitialdesign (class in smac.initial_design.abstract_initial_design)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign", false]], "abstractintensifier (class in smac.intensifier)": [[57, "smac.intensifier.AbstractIntensifier", false]], "abstractintensifier (class in smac.intensifier.abstract_intensifier)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier", false]], "abstractkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel", false]], "abstractkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel", false]], "abstractmodel (class in smac.model)": [[66, "smac.model.AbstractModel", false]], "abstractmodel (class in smac.model.abstract_model)": [[67, "smac.model.abstract_model.AbstractModel", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective.abstract_multi_objective_algorithm)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm", false]], "abstractprior (class in smac.model.gaussian_process.priors.abstract_prior)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior", false]], "abstractrandomdesign (class in smac.random_design)": [[94, "smac.random_design.AbstractRandomDesign", false]], "abstractrandomdesign (class in smac.random_design.abstract_random_design)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign", false]], "abstractrandomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.AbstractRandomForest", false]], "abstractrandomforest (class in smac.model.random_forest.abstract_random_forest)": [[87, "smac.model.random_forest.abstract_random_forest.AbstractRandomForest", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder.abstract_encoder)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder", false]], "abstractrunner (class in smac.runner)": [[114, "smac.runner.AbstractRunner", false]], "abstractrunner (class in smac.runner.abstract_runner)": [[115, "smac.runner.abstract_runner.AbstractRunner", false]], "abstractserialrunner (class in smac.runner.abstract_serial_runner)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner", false]], "acquisition_function (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.acquisition_function", false]], "add() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add", false]], "add() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add", false]], "add_running_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_running_trial", false]], "add_running_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_running_trial", false]], "add_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_trial", false]], "add_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_trial", false]], "algorithmconfigurationfacade (class in smac.facade)": [[42, "smac.facade.AlgorithmConfigurationFacade", false]], "algorithmconfigurationfacade (class in smac.facade.algorithm_configuration_facade)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade", false]], "ask() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.ask", false]], "ask() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.ask", false]], "ask() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.ask", false]], "average_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.average_cost", false]], "average_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.average_cost", false]], "batch() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.batch", false]], "bayesian optimization": [[7, "term-Bayesian-Optimization", true]], "bb": [[7, "term-BB", true]], "black-box": [[7, "term-Black-Box", true]], "blackboxfacade (class in smac.facade)": [[42, "smac.facade.BlackBoxFacade", false]], "blackboxfacade (class in smac.facade.blackbox_facade)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade", false]], "bo": [[7, "term-BO", true]], "bohb": [[7, "term-BOHB", true]], "budget": [[7, "term-Budget", true]], "budget_exhausted (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.budget_exhausted", false]], "calculate_pareto_front() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.calculate_pareto_front", false]], "callback (class in smac.callback)": [[39, "smac.callback.Callback", false]], "callback (class in smac.callback.callback)": [[40, "smac.callback.callback.Callback", false]], "challengerlist (class in smac.acquisition.maximizer.helpers)": [[35, "smac.acquisition.maximizer.helpers.ChallengerList", false]], "check() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.modulus_design.modulusrandomdesign method)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.modulusrandomdesign method)": [[94, "smac.random_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.probability_design.probabilityrandomdesign method)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.check", false]], "check() (smac.random_design.probabilityrandomdesign method)": [[94, "smac.random_design.ProbabilityRandomDesign.check", false]], "cli": [[7, "term-CLI", true]], "close() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.close", false]], "close() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.close", false]], "config_generator (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_generator", false]], "config_generator (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_generator", false]], "config_ids (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.config_ids", false]], "config_ids (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.config_ids", false]], "config_selector (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_selector", false]], "config_selector (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_selector", false]], "configselector (class in smac.main.config_selector)": [[64, "smac.main.config_selector.ConfigSelector", false]], "constantkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel", false]], "constantkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel", false]], "convert_configurations_to_array() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.convert_configurations_to_array", false]], "cosineannealingrandomdesign (class in smac.random_design)": [[94, "smac.random_design.CosineAnnealingRandomDesign", false]], "cosineannealingrandomdesign (class in smac.random_design.annealing_design)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign", false]], "count_available_workers() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.count_available_workers", false]], "count_available_workers() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.count_available_workers", false]], "count_instance_features() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_instance_features", false]], "count_objectives() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_objectives", false]], "cv": [[7, "term-CV", true]], "daskparallelrunner (class in smac.runner)": [[114, "smac.runner.DaskParallelRunner", false]], "daskparallelrunner (class in smac.runner.dask_runner)": [[117, "smac.runner.dask_runner.DaskParallelRunner", false]], "defaultinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.DefaultInitialDesign", false]], "defaultinitialdesign (class in smac.initial_design.default_design)": [[52, "smac.initial_design.default_design.DefaultInitialDesign", false]], "determine_hb() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_HB", false]], "determine_hyperband_for_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_hyperband_for_multifidelity", false]], "differentialevolution (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.DifferentialEvolution", false]], "differentialevolution (class in smac.acquisition.maximizer.differential_evolution)": [[34, "smac.acquisition.maximizer.differential_evolution.DifferentialEvolution", false]], "dynamicmodulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicModulusRandomDesign", false]], "dynamicmodulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicProbabilityRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign", false]], "ei (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EI", false]], "ei (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EI", false]], "eips (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EIPS", false]], "eips (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EIPS", false]], "empty() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.empty", false]], "empty() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.empty", false]], "exists() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.exists", false]], "factorialinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.FactorialInitialDesign", false]], "factorialinitialdesign (class in smac.initial_design.factorial_design)": [[53, "smac.initial_design.factorial_design.FactorialInitialDesign", false]], "finished (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.finished", false]], "finished (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.finished", false]], "firstruncrashedexception": [[114, "smac.runner.FirstRunCrashedException", false], [118, "smac.runner.exceptions.FirstRunCrashedException", false]], "gammaprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.GammaPrior", false]], "gammaprior (class in smac.model.gaussian_process.priors.gamma_prior)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior", false]], "gaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.GaussianProcess", false]], "gaussianprocess (class in smac.model.gaussian_process.gaussian_process)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess", false]], "get_acquisition_function() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_maximizer() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_maximizer", false]], "get_callback() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_callback", false]], "get_callback() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_callback", false]], "get_conditional_hyperparameters() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_conditional_hyperparameters", false]], "get_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config", false]], "get_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config", false]], "get_config_hash() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_config_hash", false]], "get_config_id() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config_id", false]], "get_config_id() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config_id", false]], "get_config_selector() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_config_selector", false]], "get_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs", false]], "get_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs", false]], "get_configs_per_budget() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs_per_budget", false]], "get_configs_per_budget() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs_per_budget", false]], "get_configurations() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_configurations() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_cost", false]], "get_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_cost", false]], "get_gradient() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.tophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophatprior method)": [[79, "smac.model.gaussian_process.priors.TophatPrior.get_gradient", false]], "get_incumbent() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbents", false]], "get_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbents", false]], "get_initial_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_initial_design", false]], "get_initial_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_initial_design", false]], "get_instance_seed_budget_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.instanceseedbudgetkey method)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.instanceseedbudgetkey method)": [[99, "smac.runhistory.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_intensifier() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperband_facade.hyperbandfacade static method)": [[46, "smac.facade.hyperband_facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperbandfacade static method)": [[42, "smac.facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_intensifier", false]], "get_intensifier() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_intensifier", false]], "get_kernel() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_kernel", false]], "get_kernel() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_kernel", false]], "get_log_probability() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_log_probability", false]], "get_logger() (in module smac.utils.logging)": [[125, "smac.utils.logging.get_logger", false]], "get_min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_min_cost", false]], "get_min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_min_cost", false]], "get_model() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_model", false]], "get_model() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_model", false]], "get_multi_objective_algorithm() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_multi_objective_algorithm", false]], "get_n_trials_for_hyperband_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.get_n_trials_for_hyperband_multifidelity", false]], "get_params() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.get_params", false]], "get_params() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.get_params", false]], "get_random_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_random_design", false]], "get_random_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_random_design", false]], "get_rejected_configs() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_rejected_configs() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_runhistory_encoder() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_runhistory_encoder", false]], "get_running_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_configs", false]], "get_running_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_configs", false]], "get_running_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_trials", false]], "get_running_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_trials", false]], "get_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.get_state", false]], "get_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.get_state", false]], "get_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_state", false]], "get_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_state", false]], "get_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_trials", false]], "get_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_trials", false]], "get_trials_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_trials_of_interest", false]], "get_types() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_types", false]], "gp": [[7, "term-GP", true]], "gp-mcmc": [[7, "term-GP-MCMC", true]], "hammingkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.HammingKernel", false]], "hammingkernel (class in smac.model.gaussian_process.kernels.hamming_kernel)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel", false]], "has_conditions (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.has_conditions", false]], "has_conditions (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.has_conditions", false]], "has_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.has_config", false]], "has_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.has_config", false]], "hb": [[7, "term-HB", true]], "horseshoeprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior", false]], "horseshoeprior (class in smac.model.gaussian_process.priors.horseshoe_prior)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior", false]], "hp": [[7, "term-HP", true]], "hyperband": [[7, "term-Hyperband", true]], "hyperband (class in smac.intensifier)": [[57, "smac.intensifier.Hyperband", false]], "hyperband (class in smac.intensifier.hyperband)": [[59, "smac.intensifier.hyperband.Hyperband", false]], "hyperbandfacade (class in smac.facade)": [[42, "smac.facade.HyperbandFacade", false]], "hyperbandfacade (class in smac.facade.hyperband_facade)": [[46, "smac.facade.hyperband_facade.HyperbandFacade", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.hyperparameter_length_scale", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.hyperparameter_length_scale", false]], "hyperparameteroptimizationfacade (class in smac.facade)": [[42, "smac.facade.HyperparameterOptimizationFacade", false]], "hyperparameteroptimizationfacade (class in smac.facade.hyperparameter_optimization_facade)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade", false]], "hyperparameters (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.hyperparameters", false]], "hyperparameters (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.hyperparameters", false]], "ids_config (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.ids_config", false]], "ids_config (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.ids_config", false]], "incremental_update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.incremental_update_cost", false]], "incremental_update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.incremental_update_cost", false]], "incumbent": [[7, "term-Incumbent", true]], "incumbents_changed (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.incumbents_changed", false]], "incumbents_changed (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.incumbents_changed", false]], "instances": [[7, "term-Instances", true]], "instanceseedbudgetkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedBudgetKey", false]], "instanceseedbudgetkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey", false]], "instanceseedkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedKey", false]], "instanceseedkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedKey", false]], "integratedacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction", false]], "integratedacquisitionfunction (class in smac.acquisition.function.integrated_acquisition_function)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction", false]], "intensification": [[7, "term-Intensification", true]], "intensifier (class in smac.intensifier)": [[57, "smac.intensifier.Intensifier", false]], "intensifier (class in smac.intensifier.intensifier)": [[61, "smac.intensifier.intensifier.Intensifier", false]], "intensifier (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.intensifier", false]], "intensifier (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.intensifier", false]], "intensifier (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.intensifier", false]], "is_running() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.is_running", false]], "is_running() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.is_running", false]], "is_running() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.is_running", false]], "iter_results() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.iter_results", false]], "iter_results() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.iter_results", false]], "iter_results() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.iter_results", false]], "latinhypercubeinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.LatinHypercubeInitialDesign", false]], "latinhypercubeinitialdesign (class in smac.initial_design.latin_hypercube_design)": [[54, "smac.initial_design.latin_hypercube_design.LatinHypercubeInitialDesign", false]], "lcb (class in smac.acquisition.function)": [[24, "smac.acquisition.function.LCB", false]], "lcb (class in smac.acquisition.function.confidence_bound)": [[26, "smac.acquisition.function.confidence_bound.LCB", false]], "load() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.load", false]], "load() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.load", false]], "load() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.load", false]], "load() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.load", false]], "load() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.load", false]], "load() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.load", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer.local_and_random_search)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch", false]], "localsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalSearch", false]], "localsearch (class in smac.acquisition.maximizer.local_search)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch", false]], "lognormalprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior", false]], "lognormalprior (class in smac.model.gaussian_process.priors.log_normal_prior)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior", false]], "make_serializable() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.make_serializable", false]], "maternkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.MaternKernel", false]], "maternkernel (class in smac.model.gaussian_process.kernels.matern_kernel)": [[75, "smac.model.gaussian_process.kernels.matern_kernel.MaternKernel", false]], "maximize() (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer method)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.maximize", false]], "maximize() (smac.acquisition.maximizer.abstractacquisitionmaximizer method)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.maximize", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process.mcmc_gaussian_process)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess", false]], "meanaggregationstrategy (class in smac.multi_objective)": [[90, "smac.multi_objective.MeanAggregationStrategy", false]], "meanaggregationstrategy (class in smac.multi_objective.aggregation_strategy)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy", false]], "meta (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.meta", false]], "meta (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.meta", false]], "meta (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.meta", false]], "meta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.meta", false]], "meta (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.meta", false]], "meta (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.meta", false]], "meta (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.local_search.localsearch property)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch.meta", false]], "meta (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.localsearch property)": [[32, "smac.acquisition.maximizer.LocalSearch.meta", false]], "meta (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.meta", false]], "meta (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.meta", false]], "meta (smac.initial_design.abstract_initial_design.abstractinitialdesign property)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.meta", false]], "meta (smac.initial_design.abstractinitialdesign property)": [[50, "smac.initial_design.AbstractInitialDesign.meta", false]], "meta (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.meta", false]], "meta (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.meta", false]], "meta (smac.main.config_selector.configselector property)": [[64, "smac.main.config_selector.ConfigSelector.meta", false]], "meta (smac.model.abstract_model.abstractmodel property)": [[67, "smac.model.abstract_model.AbstractModel.meta", false]], "meta (smac.model.abstractmodel property)": [[66, "smac.model.AbstractModel.meta", false]], "meta (smac.model.gaussian_process.abstract_gaussian_process.abstractgaussianprocess property)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.abstractgaussianprocess property)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussian_process.gaussianprocess property)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussianprocess property)": [[68, "smac.model.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.priors.abstract_prior.abstractprior property)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gamma_prior.gammaprior property)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gammaprior property)": [[79, "smac.model.gaussian_process.priors.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoe_prior.horseshoeprior property)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoeprior property)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.log_normal_prior.lognormalprior property)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.lognormalprior property)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.softtophatprior property)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.softtophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.tophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophatprior property)": [[79, "smac.model.gaussian_process.priors.TophatPrior.meta", false]], "meta (smac.model.random_forest.random_forest.randomforest property)": [[88, "smac.model.random_forest.random_forest.RandomForest.meta", false]], "meta (smac.model.random_forest.randomforest property)": [[86, "smac.model.random_forest.RandomForest.meta", false]], "meta (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm property)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.abstractmultiobjectivealgorithm property)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.aggregation_strategy.meanaggregationstrategy property)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.meanaggregationstrategy property)": [[90, "smac.multi_objective.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.parego property)": [[90, "smac.multi_objective.ParEGO.meta", false]], "meta (smac.multi_objective.parego.parego property)": [[93, "smac.multi_objective.parego.ParEGO.meta", false]], "meta (smac.random_design.abstract_random_design.abstractrandomdesign property)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.abstractrandomdesign property)": [[94, "smac.random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.annealing_design.cosineannealingrandomdesign property)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.cosineannealingrandomdesign property)": [[94, "smac.random_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.dynamicmodulusrandomdesign property)": [[94, "smac.random_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.dynamicprobabilityrandomdesign property)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.dynamicmodulusrandomdesign property)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.modulusrandomdesign property)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.modulusrandomdesign property)": [[94, "smac.random_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.probability_design.dynamicprobabilityrandomdesign property)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probability_design.probabilityrandomdesign property)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probabilityrandomdesign property)": [[94, "smac.random_design.ProbabilityRandomDesign.meta", false]], "meta (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runner.abstract_runner.abstractrunner property)": [[115, "smac.runner.abstract_runner.AbstractRunner.meta", false]], "meta (smac.runner.abstractrunner property)": [[114, "smac.runner.AbstractRunner.meta", false]], "meta (smac.runner.target_function_runner.targetfunctionrunner property)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.meta", false]], "meta (smac.runner.target_function_script_runner.targetfunctionscriptrunner property)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.meta", false]], "meta (smac.runner.targetfunctionrunner property)": [[114, "smac.runner.TargetFunctionRunner.meta", false]], "meta (smac.scenario.scenario property)": [[121, "smac.scenario.Scenario.meta", false]], "metadatacallback (class in smac.callback)": [[39, "smac.callback.MetadataCallback", false]], "metadatacallback (class in smac.callback.metadata_callback)": [[41, "smac.callback.metadata_callback.MetadataCallback", false]], "mf": [[7, "term-MF", true]], "min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.min_cost", false]], "min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.min_cost", false]], "model (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.model", false]], "model (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.model", false]], "models (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.multi_objective_model.multiobjectivemodel property)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.models", false]], "models (smac.model.multiobjectivemodel property)": [[66, "smac.model.MultiObjectiveModel.models", false]], "module": [[23, "module-smac.acquisition", false], [24, "module-smac.acquisition.function", false], [25, "module-smac.acquisition.function.abstract_acquisition_function", false], [26, "module-smac.acquisition.function.confidence_bound", false], [27, "module-smac.acquisition.function.expected_improvement", false], [28, "module-smac.acquisition.function.integrated_acquisition_function", false], [29, "module-smac.acquisition.function.prior_acqusition_function", false], [30, "module-smac.acquisition.function.probability_improvement", false], [31, "module-smac.acquisition.function.thompson", false], [32, "module-smac.acquisition.maximizer", false], [33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false], [34, "module-smac.acquisition.maximizer.differential_evolution", false], [35, "module-smac.acquisition.maximizer.helpers", false], [36, "module-smac.acquisition.maximizer.local_and_random_search", false], [37, "module-smac.acquisition.maximizer.local_search", false], [38, "module-smac.acquisition.maximizer.random_search", false], [39, "module-smac.callback", false], [40, "module-smac.callback.callback", false], [41, "module-smac.callback.metadata_callback", false], [42, "module-smac.facade", false], [43, "module-smac.facade.abstract_facade", false], [44, "module-smac.facade.algorithm_configuration_facade", false], [45, "module-smac.facade.blackbox_facade", false], [46, "module-smac.facade.hyperband_facade", false], [47, "module-smac.facade.hyperparameter_optimization_facade", false], [48, "module-smac.facade.multi_fidelity_facade", false], [49, "module-smac.facade.random_facade", false], [50, "module-smac.initial_design", false], [51, "module-smac.initial_design.abstract_initial_design", false], [52, "module-smac.initial_design.default_design", false], [53, "module-smac.initial_design.factorial_design", false], [54, "module-smac.initial_design.latin_hypercube_design", false], [55, "module-smac.initial_design.random_design", false], [56, "module-smac.initial_design.sobol_design", false], [57, "module-smac.intensifier", false], [58, "module-smac.intensifier.abstract_intensifier", false], [59, "module-smac.intensifier.hyperband", false], [60, "module-smac.intensifier.hyperband_utils", false], [61, "module-smac.intensifier.intensifier", false], [62, "module-smac.intensifier.successive_halving", false], [63, "module-smac.main", false], [64, "module-smac.main.config_selector", false], [65, "module-smac.main.smbo", false], [66, "module-smac.model", false], [67, "module-smac.model.abstract_model", false], [68, "module-smac.model.gaussian_process", false], [69, "module-smac.model.gaussian_process.abstract_gaussian_process", false], [70, "module-smac.model.gaussian_process.gaussian_process", false], [71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false], [72, "module-smac.model.gaussian_process.kernels", false], [73, "module-smac.model.gaussian_process.kernels.base_kernels", false], [74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false], [75, "module-smac.model.gaussian_process.kernels.matern_kernel", false], [76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false], [77, "module-smac.model.gaussian_process.kernels.white_kernel", false], [78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false], [79, "module-smac.model.gaussian_process.priors", false], [80, "module-smac.model.gaussian_process.priors.abstract_prior", false], [81, "module-smac.model.gaussian_process.priors.gamma_prior", false], [82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false], [83, "module-smac.model.gaussian_process.priors.log_normal_prior", false], [84, "module-smac.model.gaussian_process.priors.tophat_prior", false], [85, "module-smac.model.multi_objective_model", false], [86, "module-smac.model.random_forest", false], [87, "module-smac.model.random_forest.abstract_random_forest", false], [88, "module-smac.model.random_forest.random_forest", false], [89, "module-smac.model.random_model", false], [90, "module-smac.multi_objective", false], [91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false], [92, "module-smac.multi_objective.aggregation_strategy", false], [93, "module-smac.multi_objective.parego", false], [94, "module-smac.random_design", false], [95, "module-smac.random_design.abstract_random_design", false], [96, "module-smac.random_design.annealing_design", false], [97, "module-smac.random_design.modulus_design", false], [98, "module-smac.random_design.probability_design", false], [99, "module-smac.runhistory", false], [100, "module-smac.runhistory.dataclasses", false], [101, "module-smac.runhistory.encoder", false], [102, "module-smac.runhistory.encoder.abstract_encoder", false], [103, "module-smac.runhistory.encoder.boing_encoder", false], [104, "module-smac.runhistory.encoder.eips_encoder", false], [105, "module-smac.runhistory.encoder.encoder", false], [106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false], [107, "module-smac.runhistory.encoder.log_encoder", false], [108, "module-smac.runhistory.encoder.log_scaled_encoder", false], [109, "module-smac.runhistory.encoder.scaled_encoder", false], [110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false], [111, "module-smac.runhistory.enumerations", false], [112, "module-smac.runhistory.errors", false], [113, "module-smac.runhistory.runhistory", false], [114, "module-smac.runner", false], [115, "module-smac.runner.abstract_runner", false], [116, "module-smac.runner.abstract_serial_runner", false], [117, "module-smac.runner.dask_runner", false], [118, "module-smac.runner.exceptions", false], [119, "module-smac.runner.target_function_runner", false], [120, "module-smac.runner.target_function_script_runner", false], [121, "module-smac.scenario", false], [122, "module-smac.utils", false], [123, "module-smac.utils.configspace", false], [124, "module-smac.utils.data_structures", false], [125, "module-smac.utils.logging", false], [126, "module-smac.utils.multi_objective", false], [127, "module-smac.utils.pareto_front", false], [128, "module-smac.utils.subspaces", false], [129, "module-smac.utils.subspaces.boing_subspace", false], [130, "module-smac.utils.subspaces.turbo_subspace", false]], "modulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ModulusRandomDesign", false]], "modulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign", false]], "multi-fidelity": [[7, "term-Multi-Fidelity", true]], "multi-objective": [[7, "term-Multi-Objective", true]], "multi_objective_algorithm (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.multi_objective_algorithm", false]], "multifidelityfacade (class in smac.facade)": [[42, "smac.facade.MultiFidelityFacade", false]], "multifidelityfacade (class in smac.facade.multi_fidelity_facade)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade", false]], "multiobjectivemodel (class in smac.model)": [[66, "smac.model.MultiObjectiveModel", false]], "multiobjectivemodel (class in smac.model.multi_objective_model)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel", false]], "n_dims (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.n_dims", false]], "n_dims (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.n_dims", false]], "name (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.name", false]], "name (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.name", false]], "name (smac.acquisition.function.eips property)": [[24, "smac.acquisition.function.EIPS.name", false]], "name (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.name", false]], "name (smac.acquisition.function.expected_improvement.eips property)": [[27, "smac.acquisition.function.expected_improvement.EIPS.name", false]], "name (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.name", false]], "name (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.name", false]], "name (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.name", false]], "name (smac.acquisition.function.thompson.ts property)": [[31, "smac.acquisition.function.thompson.TS.name", false]], "name (smac.acquisition.function.ts property)": [[24, "smac.acquisition.function.TS.name", false]], "next_iteration() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.next_iteration", false]], "normalize_costs() (in module smac.utils.multi_objective)": [[126, "smac.utils.multi_objective.normalize_costs", false]], "notevaluatederror": [[112, "smac.runhistory.errors.NotEvaluatedError", false]], "objective": [[7, "term-Objective", true]], "objective_bounds (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.objective_bounds", false]], "objective_bounds (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.objective_bounds", false]], "on_ask_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_end", false]], "on_ask_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_end", false]], "on_ask_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_start", false]], "on_ask_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_start", false]], "on_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_end", false]], "on_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_end", false]], "on_iteration_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_end", false]], "on_iteration_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_end", false]], "on_iteration_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_start", false]], "on_iteration_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_start", false]], "on_next_configurations_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_start", false]], "on_next_configurations_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_start", false]], "on_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_start", false]], "on_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_start", false]], "on_start() (smac.callback.metadata_callback.metadatacallback method)": [[41, "smac.callback.metadata_callback.MetadataCallback.on_start", false]], "on_start() (smac.callback.metadatacallback method)": [[39, "smac.callback.MetadataCallback.on_start", false]], "on_tell_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_end", false]], "on_tell_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_end", false]], "on_tell_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_start", false]], "on_tell_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_start", false]], "operate_on (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.operate_on", false]], "operate_on (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.operate_on", false]], "optimize() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimize", false]], "optimize() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.optimize", false]], "optimize() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.optimize", false]], "optimizer (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimizer", false]], "optimizer (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.optimizer", false]], "parego (class in smac.multi_objective)": [[90, "smac.multi_objective.ParEGO", false]], "parego (class in smac.multi_objective.parego)": [[93, "smac.multi_objective.parego.ParEGO", false]], "pi (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PI", false]], "pi (class in smac.acquisition.function.probability_improvement)": [[30, "smac.acquisition.function.probability_improvement.PI", false]], "predict() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict", false]], "predict() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict", false]], "predict_marginalized() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multi_objective_model.multiobjectivemodel method)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multiobjectivemodel method)": [[66, "smac.model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.random_forest.randomforest method)": [[88, "smac.model.random_forest.random_forest.RandomForest.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.randomforest method)": [[86, "smac.model.random_forest.RandomForest.predict_marginalized", false]], "print_config_changes() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.print_config_changes", false]], "print_hyperband_summary() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.print_hyperband_summary", false]], "print_stats() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.print_stats", false]], "print_tracker() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.print_tracker", false]], "print_tracker() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.print_tracker", false]], "prior (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.prior", false]], "prior (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.prior", false]], "prioracquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PriorAcquisitionFunction", false]], "prioracquisitionfunction (class in smac.acquisition.function.prior_acqusition_function)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction", false]], "probabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ProbabilityRandomDesign", false]], "probabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign", false]], "productkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ProductKernel", false]], "productkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel", false]], "random online adaptive racing": [[7, "term-Random-Online-Adaptive-Racing", true]], "randomfacade (class in smac.facade)": [[42, "smac.facade.RandomFacade", false]], "randomfacade (class in smac.facade.random_facade)": [[49, "smac.facade.random_facade.RandomFacade", false]], "randomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.RandomForest", false]], "randomforest (class in smac.model.random_forest.random_forest)": [[88, "smac.model.random_forest.random_forest.RandomForest", false]], "randominitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.RandomInitialDesign", false]], "randominitialdesign (class in smac.initial_design.random_design)": [[55, "smac.initial_design.random_design.RandomInitialDesign", false]], "randommodel (class in smac.model)": [[66, "smac.model.RandomModel", false]], "randommodel (class in smac.model.random_model)": [[89, "smac.model.random_model.RandomModel", false]], "randomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.RandomSearch", false]], "randomsearch (class in smac.acquisition.maximizer.random_search)": [[38, "smac.acquisition.maximizer.random_search.RandomSearch", false]], "rbfkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.RBFKernel", false]], "rbfkernel (class in smac.model.gaussian_process.kernels.rbf_kernel)": [[76, "smac.model.gaussian_process.kernels.rbf_kernel.RBFKernel", false]], "recursively_compare_dicts() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.recursively_compare_dicts", false]], "register_callback() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.register_callback", false]], "remaining_cputime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_cputime", false]], "remaining_trials (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_trials", false]], "remaining_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_walltime", false]], "reset() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.reset", false]], "reset() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.reset", false]], "reset() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.reset", false]], "reset() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.reset", false]], "reset() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.reset", false]], "reset() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.reset", false]], "reset() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.reset", false]], "rf": [[7, "term-RF", true]], "roar": [[7, "term-ROAR", true]], "run() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run", false]], "run() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run", false]], "run() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.run", false]], "run() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.run", false]], "run() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.run", false]], "run() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.run", false]], "run() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.run", false]], "run_wrapper() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run_wrapper", false]], "run_wrapper() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run_wrapper", false]], "runhistory (class in smac.runhistory)": [[99, "smac.runhistory.RunHistory", false]], "runhistory (class in smac.runhistory.runhistory)": [[113, "smac.runhistory.runhistory.RunHistory", false]], "runhistory (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.runhistory", false]], "runhistory (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.runhistory", false]], "runhistory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.runhistory", false]], "runhistory (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistory (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder.eips_encoder)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder.encoder)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder.inverse_scaled_encoder)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder.log_encoder)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder.log_scaled_encoder)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder.scaled_encoder)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder.sqrt_scaled_encoder)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder", false]], "running (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.running", false]], "running (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.running", false]], "sample_from_prior() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.sample_from_prior", false]], "sample_functions() (smac.model.gaussian_process.gaussian_process.gaussianprocess method)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.sample_functions", false]], "sample_functions() (smac.model.gaussian_process.gaussianprocess method)": [[68, "smac.model.gaussian_process.GaussianProcess.sample_functions", false]], "save() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.save", false]], "save() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.save", false]], "save() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.save", false]], "save() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.save", false]], "save() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.save", false]], "save() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.save", false]], "scenario (class in smac.scenario)": [[121, "smac.scenario.Scenario", false]], "scenario (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.scenario", false]], "scenario (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.scenario", false]], "select_configurations() (smac.initial_design.abstract_initial_design.abstractinitialdesign method)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.select_configurations", false]], "select_configurations() (smac.initial_design.abstractinitialdesign method)": [[50, "smac.initial_design.AbstractInitialDesign.select_configurations", false]], "set_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.set_state", false]], "set_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.set_state", false]], "set_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.set_state", false]], "set_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.set_state", false]], "setup_logging() (in module smac.utils.logging)": [[125, "smac.utils.logging.setup_logging", false]], "smac": [[7, "term-SMAC", true]], "smac.acquisition": [[23, "module-smac.acquisition", false]], "smac.acquisition.function": [[24, "module-smac.acquisition.function", false]], "smac.acquisition.function.abstract_acquisition_function": [[25, "module-smac.acquisition.function.abstract_acquisition_function", false]], "smac.acquisition.function.confidence_bound": [[26, "module-smac.acquisition.function.confidence_bound", false]], "smac.acquisition.function.expected_improvement": [[27, "module-smac.acquisition.function.expected_improvement", false]], "smac.acquisition.function.integrated_acquisition_function": [[28, "module-smac.acquisition.function.integrated_acquisition_function", false]], "smac.acquisition.function.prior_acqusition_function": [[29, "module-smac.acquisition.function.prior_acqusition_function", false]], "smac.acquisition.function.probability_improvement": [[30, "module-smac.acquisition.function.probability_improvement", false]], "smac.acquisition.function.thompson": [[31, "module-smac.acquisition.function.thompson", false]], "smac.acquisition.maximizer": [[32, "module-smac.acquisition.maximizer", false]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false]], "smac.acquisition.maximizer.differential_evolution": [[34, "module-smac.acquisition.maximizer.differential_evolution", false]], "smac.acquisition.maximizer.helpers": [[35, "module-smac.acquisition.maximizer.helpers", false]], "smac.acquisition.maximizer.local_and_random_search": [[36, "module-smac.acquisition.maximizer.local_and_random_search", false]], "smac.acquisition.maximizer.local_search": [[37, "module-smac.acquisition.maximizer.local_search", false]], "smac.acquisition.maximizer.random_search": [[38, "module-smac.acquisition.maximizer.random_search", false]], "smac.callback": [[39, "module-smac.callback", false]], "smac.callback.callback": [[40, "module-smac.callback.callback", false]], "smac.callback.metadata_callback": [[41, "module-smac.callback.metadata_callback", false]], "smac.facade": [[42, "module-smac.facade", false]], "smac.facade.abstract_facade": [[43, "module-smac.facade.abstract_facade", false]], "smac.facade.algorithm_configuration_facade": [[44, "module-smac.facade.algorithm_configuration_facade", false]], "smac.facade.blackbox_facade": [[45, "module-smac.facade.blackbox_facade", false]], "smac.facade.hyperband_facade": [[46, "module-smac.facade.hyperband_facade", false]], "smac.facade.hyperparameter_optimization_facade": [[47, "module-smac.facade.hyperparameter_optimization_facade", false]], "smac.facade.multi_fidelity_facade": [[48, "module-smac.facade.multi_fidelity_facade", false]], "smac.facade.random_facade": [[49, "module-smac.facade.random_facade", false]], "smac.initial_design": [[50, "module-smac.initial_design", false]], "smac.initial_design.abstract_initial_design": [[51, "module-smac.initial_design.abstract_initial_design", false]], "smac.initial_design.default_design": [[52, "module-smac.initial_design.default_design", false]], "smac.initial_design.factorial_design": [[53, "module-smac.initial_design.factorial_design", false]], "smac.initial_design.latin_hypercube_design": [[54, "module-smac.initial_design.latin_hypercube_design", false]], "smac.initial_design.random_design": [[55, "module-smac.initial_design.random_design", false]], "smac.initial_design.sobol_design": [[56, "module-smac.initial_design.sobol_design", false]], "smac.intensifier": [[57, "module-smac.intensifier", false]], "smac.intensifier.abstract_intensifier": [[58, "module-smac.intensifier.abstract_intensifier", false]], "smac.intensifier.hyperband": [[59, "module-smac.intensifier.hyperband", false]], "smac.intensifier.hyperband_utils": [[60, "module-smac.intensifier.hyperband_utils", false]], "smac.intensifier.intensifier": [[61, "module-smac.intensifier.intensifier", false]], "smac.intensifier.successive_halving": [[62, "module-smac.intensifier.successive_halving", false]], "smac.main": [[63, "module-smac.main", false]], "smac.main.config_selector": [[64, "module-smac.main.config_selector", false]], "smac.main.smbo": [[65, "module-smac.main.smbo", false]], "smac.model": [[66, "module-smac.model", false]], "smac.model.abstract_model": [[67, "module-smac.model.abstract_model", false]], "smac.model.gaussian_process": [[68, "module-smac.model.gaussian_process", false]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, "module-smac.model.gaussian_process.abstract_gaussian_process", false]], "smac.model.gaussian_process.gaussian_process": [[70, "module-smac.model.gaussian_process.gaussian_process", false]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false]], "smac.model.gaussian_process.kernels": [[72, "module-smac.model.gaussian_process.kernels", false]], "smac.model.gaussian_process.kernels.base_kernels": [[73, "module-smac.model.gaussian_process.kernels.base_kernels", false]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, "module-smac.model.gaussian_process.kernels.matern_kernel", false]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false]], "smac.model.gaussian_process.kernels.white_kernel": [[77, "module-smac.model.gaussian_process.kernels.white_kernel", false]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false]], "smac.model.gaussian_process.priors": [[79, "module-smac.model.gaussian_process.priors", false]], "smac.model.gaussian_process.priors.abstract_prior": [[80, "module-smac.model.gaussian_process.priors.abstract_prior", false]], "smac.model.gaussian_process.priors.gamma_prior": [[81, "module-smac.model.gaussian_process.priors.gamma_prior", false]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, "module-smac.model.gaussian_process.priors.log_normal_prior", false]], "smac.model.gaussian_process.priors.tophat_prior": [[84, "module-smac.model.gaussian_process.priors.tophat_prior", false]], "smac.model.multi_objective_model": [[85, "module-smac.model.multi_objective_model", false]], "smac.model.random_forest": [[86, "module-smac.model.random_forest", false]], "smac.model.random_forest.abstract_random_forest": [[87, "module-smac.model.random_forest.abstract_random_forest", false]], "smac.model.random_forest.random_forest": [[88, "module-smac.model.random_forest.random_forest", false]], "smac.model.random_model": [[89, "module-smac.model.random_model", false]], "smac.multi_objective": [[90, "module-smac.multi_objective", false]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false]], "smac.multi_objective.aggregation_strategy": [[92, "module-smac.multi_objective.aggregation_strategy", false]], "smac.multi_objective.parego": [[93, "module-smac.multi_objective.parego", false]], "smac.random_design": [[94, "module-smac.random_design", false]], "smac.random_design.abstract_random_design": [[95, "module-smac.random_design.abstract_random_design", false]], "smac.random_design.annealing_design": [[96, "module-smac.random_design.annealing_design", false]], "smac.random_design.modulus_design": [[97, "module-smac.random_design.modulus_design", false]], "smac.random_design.probability_design": [[98, "module-smac.random_design.probability_design", false]], "smac.runhistory": [[99, "module-smac.runhistory", false]], "smac.runhistory.dataclasses": [[100, "module-smac.runhistory.dataclasses", false]], "smac.runhistory.encoder": [[101, "module-smac.runhistory.encoder", false]], "smac.runhistory.encoder.abstract_encoder": [[102, "module-smac.runhistory.encoder.abstract_encoder", false]], "smac.runhistory.encoder.boing_encoder": [[103, "module-smac.runhistory.encoder.boing_encoder", false]], "smac.runhistory.encoder.eips_encoder": [[104, "module-smac.runhistory.encoder.eips_encoder", false]], "smac.runhistory.encoder.encoder": [[105, "module-smac.runhistory.encoder.encoder", false]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false]], "smac.runhistory.encoder.log_encoder": [[107, "module-smac.runhistory.encoder.log_encoder", false]], "smac.runhistory.encoder.log_scaled_encoder": [[108, "module-smac.runhistory.encoder.log_scaled_encoder", false]], "smac.runhistory.encoder.scaled_encoder": [[109, "module-smac.runhistory.encoder.scaled_encoder", false]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false]], "smac.runhistory.enumerations": [[111, "module-smac.runhistory.enumerations", false]], "smac.runhistory.errors": [[112, "module-smac.runhistory.errors", false]], "smac.runhistory.runhistory": [[113, "module-smac.runhistory.runhistory", false]], "smac.runner": [[114, "module-smac.runner", false]], "smac.runner.abstract_runner": [[115, "module-smac.runner.abstract_runner", false]], "smac.runner.abstract_serial_runner": [[116, "module-smac.runner.abstract_serial_runner", false]], "smac.runner.dask_runner": [[117, "module-smac.runner.dask_runner", false]], "smac.runner.exceptions": [[118, "module-smac.runner.exceptions", false]], "smac.runner.target_function_runner": [[119, "module-smac.runner.target_function_runner", false]], "smac.runner.target_function_script_runner": [[120, "module-smac.runner.target_function_script_runner", false]], "smac.scenario": [[121, "module-smac.scenario", false]], "smac.utils": [[122, "module-smac.utils", false]], "smac.utils.configspace": [[123, "module-smac.utils.configspace", false]], "smac.utils.data_structures": [[124, "module-smac.utils.data_structures", false]], "smac.utils.logging": [[125, "module-smac.utils.logging", false]], "smac.utils.multi_objective": [[126, "module-smac.utils.multi_objective", false]], "smac.utils.pareto_front": [[127, "module-smac.utils.pareto_front", false]], "smac.utils.subspaces": [[128, "module-smac.utils.subspaces", false]], "smac.utils.subspaces.boing_subspace": [[129, "module-smac.utils.subspaces.boing_subspace", false]], "smac.utils.subspaces.turbo_subspace": [[130, "module-smac.utils.subspaces.turbo_subspace", false]], "smbo": [[7, "term-SMBO", true]], "smbo (class in smac.main.smbo)": [[65, "smac.main.smbo.SMBO", false]], "sobolinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.SobolInitialDesign", false]], "sobolinitialdesign (class in smac.initial_design.sobol_design)": [[56, "smac.initial_design.sobol_design.SobolInitialDesign", false]], "softtophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior", false]], "softtophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior", false]], "sort_by_crowding_distance() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.sort_by_crowding_distance", false]], "statustype (class in smac.runhistory)": [[99, "smac.runhistory.StatusType", false]], "statustype (class in smac.runhistory.enumerations)": [[111, "smac.runhistory.enumerations.StatusType", false]], "submit_trial() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.submit_trial", false]], "submit_trial() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.submit_trial", false]], "submit_trial() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.submit_trial", false]], "submitted (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.submitted", false]], "submitted (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.submitted", false]], "successivehalving (class in smac.intensifier)": [[57, "smac.intensifier.SuccessiveHalving", false]], "successivehalving (class in smac.intensifier.successive_halving)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving", false]], "sum_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.sum_cost", false]], "sum_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.sum_cost", false]], "sumkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.SumKernel", false]], "sumkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel", false]], "target function": [[7, "term-Target-Function", true]], "targetalgorithmabortexception": [[114, "smac.runner.TargetAlgorithmAbortException", false], [118, "smac.runner.exceptions.TargetAlgorithmAbortException", false]], "targetfunctionrunner (class in smac.runner)": [[114, "smac.runner.TargetFunctionRunner", false]], "targetfunctionrunner (class in smac.runner.target_function_runner)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner", false]], "targetfunctionscriptrunner (class in smac.runner.target_function_script_runner)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner", false]], "tell() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.tell", false]], "tell() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.tell", false]], "tell() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.tell", false]], "tophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.TophatPrior", false]], "tophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior", false]], "train() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.train", false]], "train() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.train", false]], "trajectory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.trajectory", false]], "trajectory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.trajectory", false]], "trajectoryitem (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrajectoryItem", false]], "transform() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform", false]], "transform() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform", false]], "transform_response_values() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.eips_encoder.runhistoryeipsencoder method)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.encoder.runhistoryencoder method)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.inverse_scaled_encoder.runhistoryinversescaledencoder method)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_encoder.runhistorylogencoder method)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_scaled_encoder.runhistorylogscaledencoder method)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryeipsencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryinversescaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorysqrtscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.scaled_encoder.runhistoryscaledencoder method)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.sqrt_scaled_encoder.runhistorysqrtscaledencoder method)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "trial": [[7, "term-Trial", true]], "trialinfo (class in smac.runhistory)": [[99, "smac.runhistory.TrialInfo", false]], "trialinfo (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialInfo", false]], "trialkey (class in smac.runhistory)": [[99, "smac.runhistory.TrialKey", false]], "trialkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialKey", false]], "trialvalue (class in smac.runhistory)": [[99, "smac.runhistory.TrialValue", false]], "trialvalue (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialValue", false]], "ts (class in smac.acquisition.function)": [[24, "smac.acquisition.function.TS", false]], "ts (class in smac.acquisition.function.thompson)": [[31, "smac.acquisition.function.thompson.TS", false]], "update() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.update", false]], "update() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.update", false]], "update() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update", false]], "update() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update", false]], "update_acquisition_function() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_acquisition_function", false]], "update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_cost", false]], "update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_cost", false]], "update_costs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_costs", false]], "update_costs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_costs", false]], "update_from_json() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_from_json", false]], "update_from_json() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_from_json", false]], "update_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.update_incumbents", false]], "update_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.update_incumbents", false]], "update_model() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_model", false]], "update_on_iteration_start() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.update_on_iteration_start", false]], "used_target_function_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_target_function_walltime", false]], "used_walltime (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_walltime", false]], "uses_budgets (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_budgets", false]], "uses_budgets (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_budgets", false]], "uses_instances (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_instances", false]], "uses_instances (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_instances", false]], "uses_seeds (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_seeds", false]], "uses_seeds (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_seeds", false]], "validate() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.validate", false]], "validate() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.validate", false]], "validate() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.validate", false]], "wait() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.wait", false]], "wait() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.wait", false]], "wait() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.wait", false]], "wait() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.wait", false]], "wait() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.wait", false]], "whitekernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.WhiteKernel", false]], "whitekernel (class in smac.model.gaussian_process.kernels.white_kernel)": [[77, "smac.model.gaussian_process.kernels.white_kernel.WhiteKernel", false]]}, "objects": {"smac": [[23, 0, 0, "-", "acquisition"], [39, 0, 0, "-", "callback"], [42, 0, 0, "-", "facade"], [50, 0, 0, "-", "initial_design"], [57, 0, 0, "-", "intensifier"], [63, 0, 0, "-", "main"], [66, 0, 0, "-", "model"], [90, 0, 0, "-", "multi_objective"], [94, 0, 0, "-", "random_design"], [99, 0, 0, "-", "runhistory"], [114, 0, 0, "-", "runner"], [121, 0, 0, "-", "scenario"], [122, 0, 0, "-", "utils"]], "smac.acquisition": [[24, 0, 0, "-", "function"], [32, 0, 0, "-", "maximizer"]], "smac.acquisition.function": [[24, 1, 1, "", "AbstractAcquisitionFunction"], [24, 1, 1, "", "EI"], [24, 1, 1, "", "EIPS"], [24, 1, 1, "", "IntegratedAcquisitionFunction"], [24, 1, 1, "", "LCB"], [24, 1, 1, "", "PI"], [24, 1, 1, "", "PriorAcquisitionFunction"], [24, 1, 1, "", "TS"], [25, 0, 0, "-", "abstract_acquisition_function"], [26, 0, 0, "-", "confidence_bound"], [27, 0, 0, "-", "expected_improvement"], [28, 0, 0, "-", "integrated_acquisition_function"], [29, 0, 0, "-", "prior_acqusition_function"], [30, 0, 0, "-", "probability_improvement"], [31, 0, 0, "-", "thompson"]], "smac.acquisition.function.AbstractAcquisitionFunction": [[24, 2, 1, "", "__call__"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"], [24, 2, 1, "", "update"]], "smac.acquisition.function.EI": [[24, 4, 1, "", "_eta"], [24, 4, 1, "", "_log"], [24, 4, 1, "", "_xi"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.EIPS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.IntegratedAcquisitionFunction": [[24, 4, 1, "", "_acquisition_function"], [24, 4, 1, "", "_eta"], [24, 4, 1, "", "_functions"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.LCB": [[24, 4, 1, "", "_beta"], [24, 4, 1, "", "_num_data"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PI": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PriorAcquisitionFunction": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"]], "smac.acquisition.function.TS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.abstract_acquisition_function": [[25, 1, 1, "", "AbstractAcquisitionFunction"]], "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction": [[25, 2, 1, "", "__call__"], [25, 3, 1, "", "meta"], [25, 3, 1, "", "model"], [25, 3, 1, "", "name"], [25, 2, 1, "", "update"]], "smac.acquisition.function.confidence_bound": [[26, 1, 1, "", "LCB"]], "smac.acquisition.function.confidence_bound.LCB": [[26, 4, 1, "", "_beta"], [26, 4, 1, "", "_num_data"], [26, 3, 1, "", "meta"], [26, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement": [[27, 1, 1, "", "EI"], [27, 1, 1, "", "EIPS"]], "smac.acquisition.function.expected_improvement.EI": [[27, 4, 1, "", "_eta"], [27, 4, 1, "", "_log"], [27, 4, 1, "", "_xi"], [27, 3, 1, "", "meta"], [27, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement.EIPS": [[27, 3, 1, "", "name"]], "smac.acquisition.function.integrated_acquisition_function": [[28, 1, 1, "", "IntegratedAcquisitionFunction"]], "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction": [[28, 4, 1, "", "_acquisition_function"], [28, 4, 1, "", "_eta"], [28, 4, 1, "", "_functions"], [28, 3, 1, "", "meta"], [28, 3, 1, "", "name"]], "smac.acquisition.function.prior_acqusition_function": [[29, 1, 1, "", "PriorAcquisitionFunction"]], "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction": [[29, 3, 1, "", "meta"], [29, 3, 1, "", "model"], [29, 3, 1, "", "name"]], "smac.acquisition.function.probability_improvement": [[30, 1, 1, "", "PI"]], "smac.acquisition.function.probability_improvement.PI": [[30, 3, 1, "", "meta"], [30, 3, 1, "", "name"]], "smac.acquisition.function.thompson": [[31, 1, 1, "", "TS"]], "smac.acquisition.function.thompson.TS": [[31, 3, 1, "", "name"]], "smac.acquisition.maximizer": [[32, 1, 1, "", "AbstractAcquisitionMaximizer"], [32, 1, 1, "", "DifferentialEvolution"], [32, 1, 1, "", "LocalAndSortedRandomSearch"], [32, 1, 1, "", "LocalSearch"], [32, 1, 1, "", "RandomSearch"], [33, 0, 0, "-", "abstract_acqusition_maximizer"], [34, 0, 0, "-", "differential_evolution"], [35, 0, 0, "-", "helpers"], [36, 0, 0, "-", "local_and_random_search"], [37, 0, 0, "-", "local_search"], [38, 0, 0, "-", "random_search"]], "smac.acquisition.maximizer.AbstractAcquisitionMaximizer": [[32, 3, 1, "", "acquisition_function"], [32, 2, 1, "", "maximize"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalAndSortedRandomSearch": [[32, 3, 1, "", "acquisition_function"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalSearch": [[32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, 1, 1, "", "AbstractAcquisitionMaximizer"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer": [[33, 3, 1, "", "acquisition_function"], [33, 2, 1, "", "maximize"], [33, 3, 1, "", "meta"]], "smac.acquisition.maximizer.differential_evolution": [[34, 1, 1, "", "DifferentialEvolution"]], "smac.acquisition.maximizer.helpers": [[35, 1, 1, "", "ChallengerList"]], "smac.acquisition.maximizer.local_and_random_search": [[36, 1, 1, "", "LocalAndSortedRandomSearch"]], "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch": [[36, 3, 1, "", "acquisition_function"], [36, 3, 1, "", "meta"]], "smac.acquisition.maximizer.local_search": [[37, 1, 1, "", "LocalSearch"]], "smac.acquisition.maximizer.local_search.LocalSearch": [[37, 3, 1, "", "meta"]], "smac.acquisition.maximizer.random_search": [[38, 1, 1, "", "RandomSearch"]], "smac.callback": [[39, 1, 1, "", "Callback"], [39, 1, 1, "", "MetadataCallback"], [40, 0, 0, "-", "callback"], [41, 0, 0, "-", "metadata_callback"]], "smac.callback.Callback": [[39, 2, 1, "", "on_ask_end"], [39, 2, 1, "", "on_ask_start"], [39, 2, 1, "", "on_end"], [39, 2, 1, "", "on_iteration_end"], [39, 2, 1, "", "on_iteration_start"], [39, 2, 1, "", "on_next_configurations_end"], [39, 2, 1, "", "on_next_configurations_start"], [39, 2, 1, "", "on_start"], [39, 2, 1, "", "on_tell_end"], [39, 2, 1, "", "on_tell_start"]], "smac.callback.MetadataCallback": [[39, 2, 1, "", "on_start"]], "smac.callback.callback": [[40, 1, 1, "", "Callback"]], "smac.callback.callback.Callback": [[40, 2, 1, "", "on_ask_end"], [40, 2, 1, "", "on_ask_start"], [40, 2, 1, "", "on_end"], [40, 2, 1, "", "on_iteration_end"], [40, 2, 1, "", "on_iteration_start"], [40, 2, 1, "", "on_next_configurations_end"], [40, 2, 1, "", "on_next_configurations_start"], [40, 2, 1, "", "on_start"], [40, 2, 1, "", "on_tell_end"], [40, 2, 1, "", "on_tell_start"]], "smac.callback.metadata_callback": [[41, 1, 1, "", "MetadataCallback"]], "smac.callback.metadata_callback.MetadataCallback": [[41, 2, 1, "", "on_start"]], "smac.facade": [[42, 1, 1, "", "AbstractFacade"], [42, 1, 1, "", "AlgorithmConfigurationFacade"], [42, 1, 1, "", "BlackBoxFacade"], [42, 1, 1, "", "HyperbandFacade"], [42, 1, 1, "", "HyperparameterOptimizationFacade"], [42, 1, 1, "", "MultiFidelityFacade"], [42, 1, 1, "", "RandomFacade"], [43, 0, 0, "-", "abstract_facade"], [44, 0, 0, "-", "algorithm_configuration_facade"], [45, 0, 0, "-", "blackbox_facade"], [46, 0, 0, "-", "hyperband_facade"], [47, 0, 0, "-", "hyperparameter_optimization_facade"], [48, 0, 0, "-", "multi_fidelity_facade"], [49, 0, 0, "-", "random_facade"]], "smac.facade.AbstractFacade": [[42, 2, 1, "", "ask"], [42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"], [42, 3, 1, "", "intensifier"], [42, 3, 1, "", "meta"], [42, 2, 1, "", "optimize"], [42, 3, 1, "", "optimizer"], [42, 3, 1, "", "runhistory"], [42, 3, 1, "", "scenario"], [42, 2, 1, "", "tell"], [42, 2, 1, "", "validate"]], "smac.facade.AlgorithmConfigurationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.BlackBoxFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_kernel"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.HyperbandFacade": [[42, 2, 1, "", "get_intensifier"]], "smac.facade.HyperparameterOptimizationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.MultiFidelityFacade": [[42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"]], "smac.facade.RandomFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.abstract_facade": [[43, 1, 1, "", "AbstractFacade"]], "smac.facade.abstract_facade.AbstractFacade": [[43, 2, 1, "", "ask"], [43, 2, 1, "", "get_acquisition_function"], [43, 2, 1, "", "get_acquisition_maximizer"], [43, 2, 1, "", "get_config_selector"], [43, 2, 1, "", "get_initial_design"], [43, 2, 1, "", "get_intensifier"], [43, 2, 1, "", "get_model"], [43, 2, 1, "", "get_multi_objective_algorithm"], [43, 2, 1, "", "get_random_design"], [43, 2, 1, "", "get_runhistory_encoder"], [43, 3, 1, "", "intensifier"], [43, 3, 1, "", "meta"], [43, 2, 1, "", "optimize"], [43, 3, 1, "", "optimizer"], [43, 3, 1, "", "runhistory"], [43, 3, 1, "", "scenario"], [43, 2, 1, "", "tell"], [43, 2, 1, "", "validate"]], "smac.facade.algorithm_configuration_facade": [[44, 1, 1, "", "AlgorithmConfigurationFacade"]], "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade": [[44, 2, 1, "", "get_acquisition_function"], [44, 2, 1, "", "get_acquisition_maximizer"], [44, 2, 1, "", "get_initial_design"], [44, 2, 1, "", "get_intensifier"], [44, 2, 1, "", "get_model"], [44, 2, 1, "", "get_multi_objective_algorithm"], [44, 2, 1, "", "get_random_design"], [44, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.blackbox_facade": [[45, 1, 1, "", "BlackBoxFacade"]], "smac.facade.blackbox_facade.BlackBoxFacade": [[45, 2, 1, "", "get_acquisition_function"], [45, 2, 1, "", "get_acquisition_maximizer"], [45, 2, 1, "", "get_config_selector"], [45, 2, 1, "", "get_initial_design"], [45, 2, 1, "", "get_intensifier"], [45, 2, 1, "", "get_kernel"], [45, 2, 1, "", "get_model"], [45, 2, 1, "", "get_multi_objective_algorithm"], [45, 2, 1, "", "get_random_design"], [45, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.hyperband_facade": [[46, 1, 1, "", "HyperbandFacade"]], "smac.facade.hyperband_facade.HyperbandFacade": [[46, 2, 1, "", "get_intensifier"]], "smac.facade.hyperparameter_optimization_facade": [[47, 1, 1, "", "HyperparameterOptimizationFacade"]], "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade": [[47, 2, 1, "", "get_acquisition_function"], [47, 2, 1, "", "get_acquisition_maximizer"], [47, 2, 1, "", "get_initial_design"], [47, 2, 1, "", "get_intensifier"], [47, 2, 1, "", "get_model"], [47, 2, 1, "", "get_multi_objective_algorithm"], [47, 2, 1, "", "get_random_design"], [47, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.multi_fidelity_facade": [[48, 1, 1, "", "MultiFidelityFacade"]], "smac.facade.multi_fidelity_facade.MultiFidelityFacade": [[48, 2, 1, "", "get_initial_design"], [48, 2, 1, "", "get_intensifier"]], "smac.facade.random_facade": [[49, 1, 1, "", "RandomFacade"]], "smac.facade.random_facade.RandomFacade": [[49, 2, 1, "", "get_acquisition_function"], [49, 2, 1, "", "get_acquisition_maximizer"], [49, 2, 1, "", "get_initial_design"], [49, 2, 1, "", "get_intensifier"], [49, 2, 1, "", "get_model"], [49, 2, 1, "", "get_multi_objective_algorithm"], [49, 2, 1, "", "get_random_design"], [49, 2, 1, "", "get_runhistory_encoder"]], "smac.initial_design": [[50, 1, 1, "", "AbstractInitialDesign"], [50, 1, 1, "", "DefaultInitialDesign"], [50, 1, 1, "", "FactorialInitialDesign"], [50, 1, 1, "", "LatinHypercubeInitialDesign"], [50, 1, 1, "", "RandomInitialDesign"], [50, 1, 1, "", "SobolInitialDesign"], [51, 0, 0, "-", "abstract_initial_design"], [52, 0, 0, "-", "default_design"], [53, 0, 0, "-", "factorial_design"], [54, 0, 0, "-", "latin_hypercube_design"], [55, 0, 0, "-", "random_design"], [56, 0, 0, "-", "sobol_design"]], "smac.initial_design.AbstractInitialDesign": [[50, 3, 1, "", "meta"], [50, 2, 1, "", "select_configurations"]], "smac.initial_design.abstract_initial_design": [[51, 1, 1, "", "AbstractInitialDesign"]], "smac.initial_design.abstract_initial_design.AbstractInitialDesign": [[51, 3, 1, "", "meta"], [51, 2, 1, "", "select_configurations"]], "smac.initial_design.default_design": [[52, 1, 1, "", "DefaultInitialDesign"]], "smac.initial_design.factorial_design": [[53, 1, 1, "", "FactorialInitialDesign"]], "smac.initial_design.latin_hypercube_design": [[54, 1, 1, "", "LatinHypercubeInitialDesign"]], "smac.initial_design.random_design": [[55, 1, 1, "", "RandomInitialDesign"]], "smac.initial_design.sobol_design": [[56, 1, 1, "", "SobolInitialDesign"]], "smac.intensifier": [[57, 1, 1, "", "AbstractIntensifier"], [57, 1, 1, "", "Hyperband"], [57, 1, 1, "", "Intensifier"], [57, 1, 1, "", "SuccessiveHalving"], [58, 0, 0, "-", "abstract_intensifier"], [59, 0, 0, "-", "hyperband"], [60, 0, 0, "-", "hyperband_utils"], [61, 0, 0, "-", "intensifier"], [62, 0, 0, "-", "successive_halving"]], "smac.intensifier.AbstractIntensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "__post_init__"], [57, 3, 1, "", "config_generator"], [57, 3, 1, "", "config_selector"], [57, 2, 1, "", "get_callback"], [57, 2, 1, "", "get_incumbent"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [57, 2, 1, "", "get_incumbents"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_instance_seed_keys_of_interest"], [57, 2, 1, "", "get_rejected_configs"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "incumbents_changed"], [57, 2, 1, "", "load"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "reset"], [57, 3, 1, "", "runhistory"], [57, 2, 1, "", "save"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "trajectory"], [57, 2, 1, "", "update_incumbents"], [57, 3, 1, "", "used_walltime"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.Hyperband": [[57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"]], "smac.intensifier.Intensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.SuccessiveHalving": [[57, 2, 1, "", "__post_init__"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "print_tracker"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.abstract_intensifier": [[58, 1, 1, "", "AbstractIntensifier"]], "smac.intensifier.abstract_intensifier.AbstractIntensifier": [[58, 2, 1, "", "__iter__"], [58, 2, 1, "", "__post_init__"], [58, 3, 1, "", "config_generator"], [58, 3, 1, "", "config_selector"], [58, 2, 1, "", "get_callback"], [58, 2, 1, "", "get_incumbent"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [58, 2, 1, "", "get_incumbents"], [58, 2, 1, "", "get_instance_seed_budget_keys"], [58, 2, 1, "", "get_instance_seed_keys_of_interest"], [58, 2, 1, "", "get_rejected_configs"], [58, 2, 1, "", "get_state"], [58, 2, 1, "", "get_trials_of_interest"], [58, 3, 1, "", "incumbents_changed"], [58, 2, 1, "", "load"], [58, 3, 1, "", "meta"], [58, 2, 1, "", "reset"], [58, 3, 1, "", "runhistory"], [58, 2, 1, "", "save"], [58, 2, 1, "", "set_state"], [58, 3, 1, "", "trajectory"], [58, 2, 1, "", "update_incumbents"], [58, 3, 1, "", "used_walltime"], [58, 3, 1, "", "uses_budgets"], [58, 3, 1, "", "uses_instances"], [58, 3, 1, "", "uses_seeds"]], "smac.intensifier.hyperband": [[59, 1, 1, "", "Hyperband"]], "smac.intensifier.hyperband.Hyperband": [[59, 2, 1, "", "get_state"], [59, 2, 1, "", "reset"], [59, 2, 1, "", "set_state"]], "smac.intensifier.hyperband_utils": [[60, 5, 1, "", "determine_HB"], [60, 5, 1, "", "determine_hyperband_for_multifidelity"], [60, 5, 1, "", "get_n_trials_for_hyperband_multifidelity"], [60, 5, 1, "", "print_hyperband_summary"]], "smac.intensifier.intensifier": [[61, 1, 1, "", "Intensifier"]], "smac.intensifier.intensifier.Intensifier": [[61, 2, 1, "", "__iter__"], [61, 2, 1, "", "get_state"], [61, 2, 1, "", "reset"], [61, 2, 1, "", "set_state"], [61, 3, 1, "", "uses_budgets"], [61, 3, 1, "", "uses_instances"], [61, 3, 1, "", "uses_seeds"]], "smac.intensifier.successive_halving": [[62, 1, 1, "", "SuccessiveHalving"]], "smac.intensifier.successive_halving.SuccessiveHalving": [[62, 2, 1, "", "__post_init__"], [62, 2, 1, "", "get_instance_seed_budget_keys"], [62, 2, 1, "", "get_state"], [62, 2, 1, "", "get_trials_of_interest"], [62, 3, 1, "", "meta"], [62, 2, 1, "", "print_tracker"], [62, 2, 1, "", "reset"], [62, 2, 1, "", "set_state"], [62, 3, 1, "", "uses_budgets"], [62, 3, 1, "", "uses_instances"], [62, 3, 1, "", "uses_seeds"]], "smac.main": [[64, 0, 0, "-", "config_selector"], [65, 0, 0, "-", "smbo"]], "smac.main.config_selector": [[64, 1, 1, "", "ConfigSelector"]], "smac.main.config_selector.ConfigSelector": [[64, 2, 1, "", "__iter__"], [64, 3, 1, "", "meta"]], "smac.main.smbo": [[65, 1, 1, "", "SMBO"]], "smac.main.smbo.SMBO": [[65, 2, 1, "", "ask"], [65, 3, 1, "", "budget_exhausted"], [65, 2, 1, "", "exists"], [65, 3, 1, "", "intensifier"], [65, 2, 1, "", "load"], [65, 2, 1, "", "optimize"], [65, 2, 1, "", "print_stats"], [65, 2, 1, "", "register_callback"], [65, 3, 1, "", "remaining_cputime"], [65, 3, 1, "", "remaining_trials"], [65, 3, 1, "", "remaining_walltime"], [65, 2, 1, "", "reset"], [65, 3, 1, "", "runhistory"], [65, 2, 1, "", "save"], [65, 2, 1, "", "tell"], [65, 2, 1, "", "update_acquisition_function"], [65, 2, 1, "", "update_model"], [65, 3, 1, "", "used_target_function_walltime"], [65, 3, 1, "", "used_walltime"], [65, 2, 1, "", "validate"]], "smac.model": [[66, 1, 1, "", "AbstractModel"], [66, 1, 1, "", "MultiObjectiveModel"], [66, 1, 1, "", "RandomModel"], [67, 0, 0, "-", "abstract_model"], [68, 0, 0, "-", "gaussian_process"], [85, 0, 0, "-", "multi_objective_model"], [86, 0, 0, "-", "random_forest"], [89, 0, 0, "-", "random_model"]], "smac.model.AbstractModel": [[66, 3, 1, "", "meta"], [66, 2, 1, "", "predict"], [66, 2, 1, "", "predict_marginalized"], [66, 2, 1, "", "train"]], "smac.model.MultiObjectiveModel": [[66, 3, 1, "", "models"], [66, 2, 1, "", "predict_marginalized"]], "smac.model.abstract_model": [[67, 1, 1, "", "AbstractModel"]], "smac.model.abstract_model.AbstractModel": [[67, 3, 1, "", "meta"], [67, 2, 1, "", "predict"], [67, 2, 1, "", "predict_marginalized"], [67, 2, 1, "", "train"]], "smac.model.gaussian_process": [[68, 1, 1, "", "AbstractGaussianProcess"], [68, 1, 1, "", "GaussianProcess"], [68, 1, 1, "", "MCMCGaussianProcess"], [69, 0, 0, "-", "abstract_gaussian_process"], [70, 0, 0, "-", "gaussian_process"], [71, 0, 0, "-", "gpytorch_gaussian_process"], [72, 0, 0, "-", "kernels"], [78, 0, 0, "-", "mcmc_gaussian_process"], [79, 0, 0, "-", "priors"]], "smac.model.gaussian_process.AbstractGaussianProcess": [[68, 3, 1, "", "meta"]], "smac.model.gaussian_process.GaussianProcess": [[68, 3, 1, "", "meta"], [68, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.MCMCGaussianProcess": [[68, 3, 1, "", "meta"], [68, 3, 1, "", "models"]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, 1, 1, "", "AbstractGaussianProcess"]], "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess": [[69, 3, 1, "", "meta"]], "smac.model.gaussian_process.gaussian_process": [[70, 1, 1, "", "GaussianProcess"]], "smac.model.gaussian_process.gaussian_process.GaussianProcess": [[70, 3, 1, "", "meta"], [70, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.kernels": [[72, 1, 1, "", "AbstractKernel"], [72, 1, 1, "", "ConstantKernel"], [72, 1, 1, "", "HammingKernel"], [72, 1, 1, "", "MaternKernel"], [72, 1, 1, "", "ProductKernel"], [72, 1, 1, "", "RBFKernel"], [72, 1, 1, "", "SumKernel"], [72, 1, 1, "", "WhiteKernel"], [73, 0, 0, "-", "base_kernels"], [74, 0, 0, "-", "hamming_kernel"], [75, 0, 0, "-", "matern_kernel"], [76, 0, 0, "-", "rbf_kernel"], [77, 0, 0, "-", "white_kernel"]], "smac.model.gaussian_process.kernels.AbstractKernel": [[72, 2, 1, "", "__call__"], [72, 2, 1, "", "get_params"], [72, 4, 1, "", "has_conditions"], [72, 3, 1, "", "hyperparameters"], [72, 3, 1, "", "meta"], [72, 3, 1, "", "n_dims"], [72, 4, 1, "", "operate_on"], [72, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.ConstantKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.HammingKernel": [[72, 3, 1, "", "hyperparameter_length_scale"], [72, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.ProductKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.SumKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels": [[73, 1, 1, "", "AbstractKernel"], [73, 1, 1, "", "ConstantKernel"], [73, 1, 1, "", "ProductKernel"], [73, 1, 1, "", "SumKernel"]], "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel": [[73, 2, 1, "", "__call__"], [73, 2, 1, "", "get_params"], [73, 4, 1, "", "has_conditions"], [73, 3, 1, "", "hyperparameters"], [73, 3, 1, "", "meta"], [73, 3, 1, "", "n_dims"], [73, 4, 1, "", "operate_on"], [73, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.ProductKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.SumKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, 1, 1, "", "HammingKernel"]], "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel": [[74, 3, 1, "", "hyperparameter_length_scale"], [74, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, 1, 1, "", "MaternKernel"]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, 1, 1, "", "RBFKernel"]], "smac.model.gaussian_process.kernels.white_kernel": [[77, 1, 1, "", "WhiteKernel"]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, 1, 1, "", "MCMCGaussianProcess"]], "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess": [[78, 3, 1, "", "meta"], [78, 3, 1, "", "models"]], "smac.model.gaussian_process.priors": [[79, 1, 1, "", "GammaPrior"], [79, 1, 1, "", "HorseshoePrior"], [79, 1, 1, "", "LogNormalPrior"], [79, 1, 1, "", "SoftTopHatPrior"], [79, 1, 1, "", "TophatPrior"], [80, 0, 0, "-", "abstract_prior"], [81, 0, 0, "-", "gamma_prior"], [82, 0, 0, "-", "horseshoe_prior"], [83, 0, 0, "-", "log_normal_prior"], [84, 0, 0, "-", "tophat_prior"]], "smac.model.gaussian_process.priors.GammaPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.HorseshoePrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.LogNormalPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.SoftTopHatPrior": [[79, 2, 1, "", "get_gradient"], [79, 2, 1, "", "get_log_probability"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.TophatPrior": [[79, 2, 1, "", "get_gradient"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.abstract_prior": [[80, 1, 1, "", "AbstractPrior"]], "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior": [[80, 2, 1, "", "get_gradient"], [80, 2, 1, "", "get_log_probability"], [80, 3, 1, "", "meta"], [80, 2, 1, "", "sample_from_prior"]], "smac.model.gaussian_process.priors.gamma_prior": [[81, 1, 1, "", "GammaPrior"]], "smac.model.gaussian_process.priors.gamma_prior.GammaPrior": [[81, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, 1, 1, "", "HorseshoePrior"]], "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior": [[82, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, 1, 1, "", "LogNormalPrior"]], "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior": [[83, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior": [[84, 1, 1, "", "SoftTopHatPrior"], [84, 1, 1, "", "TophatPrior"]], "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior": [[84, 2, 1, "", "get_gradient"], [84, 2, 1, "", "get_log_probability"], [84, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior.TophatPrior": [[84, 2, 1, "", "get_gradient"], [84, 3, 1, "", "meta"]], "smac.model.multi_objective_model": [[85, 1, 1, "", "MultiObjectiveModel"]], "smac.model.multi_objective_model.MultiObjectiveModel": [[85, 3, 1, "", "models"], [85, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest": [[86, 1, 1, "", "AbstractRandomForest"], [86, 1, 1, "", "RandomForest"], [87, 0, 0, "-", "abstract_random_forest"], [88, 0, 0, "-", "random_forest"]], "smac.model.random_forest.RandomForest": [[86, 3, 1, "", "meta"], [86, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest.abstract_random_forest": [[87, 1, 1, "", "AbstractRandomForest"]], "smac.model.random_forest.random_forest": [[88, 1, 1, "", "RandomForest"]], "smac.model.random_forest.random_forest.RandomForest": [[88, 3, 1, "", "meta"], [88, 2, 1, "", "predict_marginalized"]], "smac.model.random_model": [[89, 1, 1, "", "RandomModel"]], "smac.multi_objective": [[90, 1, 1, "", "AbstractMultiObjectiveAlgorithm"], [90, 1, 1, "", "MeanAggregationStrategy"], [90, 1, 1, "", "ParEGO"], [91, 0, 0, "-", "abstract_multi_objective_algorithm"], [92, 0, 0, "-", "aggregation_strategy"], [93, 0, 0, "-", "parego"]], "smac.multi_objective.AbstractMultiObjectiveAlgorithm": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.MeanAggregationStrategy": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"]], "smac.multi_objective.ParEGO": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, 1, 1, "", "AbstractMultiObjectiveAlgorithm"]], "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm": [[91, 2, 1, "", "__call__"], [91, 3, 1, "", "meta"], [91, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.aggregation_strategy": [[92, 1, 1, "", "MeanAggregationStrategy"]], "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy": [[92, 2, 1, "", "__call__"], [92, 3, 1, "", "meta"]], "smac.multi_objective.parego": [[93, 1, 1, "", "ParEGO"]], "smac.multi_objective.parego.ParEGO": [[93, 2, 1, "", "__call__"], [93, 3, 1, "", "meta"], [93, 2, 1, "", "update_on_iteration_start"]], "smac.random_design": [[94, 1, 1, "", "AbstractRandomDesign"], [94, 1, 1, "", "CosineAnnealingRandomDesign"], [94, 1, 1, "", "DynamicModulusRandomDesign"], [94, 1, 1, "", "DynamicProbabilityRandomDesign"], [94, 1, 1, "", "ModulusRandomDesign"], [94, 1, 1, "", "ProbabilityRandomDesign"], [95, 0, 0, "-", "abstract_random_design"], [96, 0, 0, "-", "annealing_design"], [97, 0, 0, "-", "modulus_design"], [98, 0, 0, "-", "probability_design"]], "smac.random_design.AbstractRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.CosineAnnealingRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.ModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.ProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.abstract_random_design": [[95, 1, 1, "", "AbstractRandomDesign"]], "smac.random_design.abstract_random_design.AbstractRandomDesign": [[95, 2, 1, "", "check"], [95, 3, 1, "", "meta"], [95, 2, 1, "", "next_iteration"]], "smac.random_design.annealing_design": [[96, 1, 1, "", "CosineAnnealingRandomDesign"]], "smac.random_design.annealing_design.CosineAnnealingRandomDesign": [[96, 2, 1, "", "check"], [96, 3, 1, "", "meta"], [96, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design": [[97, 1, 1, "", "DynamicModulusRandomDesign"], [97, 1, 1, "", "ModulusRandomDesign"]], "smac.random_design.modulus_design.DynamicModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"], [97, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design.ModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"]], "smac.random_design.probability_design": [[98, 1, 1, "", "DynamicProbabilityRandomDesign"], [98, 1, 1, "", "ProbabilityRandomDesign"]], "smac.random_design.probability_design.DynamicProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"], [98, 2, 1, "", "next_iteration"]], "smac.random_design.probability_design.ProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"]], "smac.runhistory": [[99, 1, 1, "", "InstanceSeedBudgetKey"], [99, 1, 1, "", "InstanceSeedKey"], [99, 1, 1, "", "RunHistory"], [99, 1, 1, "", "StatusType"], [99, 1, 1, "", "TrialInfo"], [99, 1, 1, "", "TrialKey"], [99, 1, 1, "", "TrialValue"], [100, 0, 0, "-", "dataclasses"], [101, 0, 0, "-", "encoder"], [111, 0, 0, "-", "enumerations"], [112, 0, 0, "-", "errors"], [113, 0, 0, "-", "runhistory"]], "smac.runhistory.InstanceSeedBudgetKey": [[99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.RunHistory": [[99, 2, 1, "", "__contains__"], [99, 2, 1, "", "__eq__"], [99, 2, 1, "", "__getitem__"], [99, 2, 1, "", "__iter__"], [99, 2, 1, "", "__len__"], [99, 2, 1, "", "add"], [99, 2, 1, "", "add_running_trial"], [99, 2, 1, "", "add_trial"], [99, 2, 1, "", "average_cost"], [99, 3, 1, "", "config_ids"], [99, 2, 1, "", "empty"], [99, 3, 1, "", "finished"], [99, 2, 1, "", "get_config"], [99, 2, 1, "", "get_config_id"], [99, 2, 1, "", "get_configs"], [99, 2, 1, "", "get_configs_per_budget"], [99, 2, 1, "", "get_cost"], [99, 2, 1, "", "get_instance_seed_budget_keys"], [99, 2, 1, "", "get_min_cost"], [99, 2, 1, "", "get_running_configs"], [99, 2, 1, "", "get_running_trials"], [99, 2, 1, "", "get_trials"], [99, 2, 1, "", "has_config"], [99, 3, 1, "", "ids_config"], [99, 2, 1, "", "incremental_update_cost"], [99, 2, 1, "", "load"], [99, 2, 1, "", "min_cost"], [99, 3, 1, "", "multi_objective_algorithm"], [99, 3, 1, "", "objective_bounds"], [99, 2, 1, "", "reset"], [99, 3, 1, "", "running"], [99, 2, 1, "", "save"], [99, 3, 1, "", "submitted"], [99, 2, 1, "", "sum_cost"], [99, 2, 1, "", "update"], [99, 2, 1, "", "update_cost"], [99, 2, 1, "", "update_costs"], [99, 2, 1, "", "update_from_json"]], "smac.runhistory.TrialInfo": [[99, 2, 1, "", "get_instance_seed_budget_key"], [99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses": [[100, 1, 1, "", "InstanceSeedBudgetKey"], [100, 1, 1, "", "InstanceSeedKey"], [100, 1, 1, "", "TrajectoryItem"], [100, 1, 1, "", "TrialInfo"], [100, 1, 1, "", "TrialKey"], [100, 1, 1, "", "TrialValue"]], "smac.runhistory.dataclasses.InstanceSeedBudgetKey": [[100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses.TrialInfo": [[100, 2, 1, "", "get_instance_seed_budget_key"], [100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.encoder": [[101, 1, 1, "", "AbstractRunHistoryEncoder"], [101, 1, 1, "", "RunHistoryEIPSEncoder"], [101, 1, 1, "", "RunHistoryEncoder"], [101, 1, 1, "", "RunHistoryInverseScaledEncoder"], [101, 1, 1, "", "RunHistoryLogEncoder"], [101, 1, 1, "", "RunHistoryLogScaledEncoder"], [101, 1, 1, "", "RunHistoryScaledEncoder"], [101, 1, 1, "", "RunHistorySqrtScaledEncoder"], [102, 0, 0, "-", "abstract_encoder"], [103, 0, 0, "-", "boing_encoder"], [104, 0, 0, "-", "eips_encoder"], [105, 0, 0, "-", "encoder"], [106, 0, 0, "-", "inverse_scaled_encoder"], [107, 0, 0, "-", "log_encoder"], [108, 0, 0, "-", "log_scaled_encoder"], [109, 0, 0, "-", "scaled_encoder"], [110, 0, 0, "-", "sqrt_scaled_encoder"]], "smac.runhistory.encoder.AbstractRunHistoryEncoder": [[101, 2, 1, "", "get_configurations"], [101, 3, 1, "", "meta"], [101, 3, 1, "", "multi_objective_algorithm"], [101, 3, 1, "", "runhistory"], [101, 2, 1, "", "transform"], [101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEIPSEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryInverseScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistorySqrtScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.abstract_encoder": [[102, 1, 1, "", "AbstractRunHistoryEncoder"]], "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder": [[102, 2, 1, "", "get_configurations"], [102, 3, 1, "", "meta"], [102, 3, 1, "", "multi_objective_algorithm"], [102, 3, 1, "", "runhistory"], [102, 2, 1, "", "transform"], [102, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.eips_encoder": [[104, 1, 1, "", "RunHistoryEIPSEncoder"]], "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder": [[104, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.encoder": [[105, 1, 1, "", "RunHistoryEncoder"]], "smac.runhistory.encoder.encoder.RunHistoryEncoder": [[105, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, 1, 1, "", "RunHistoryInverseScaledEncoder"]], "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder": [[106, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_encoder": [[107, 1, 1, "", "RunHistoryLogEncoder"]], "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder": [[107, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_scaled_encoder": [[108, 1, 1, "", "RunHistoryLogScaledEncoder"]], "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder": [[108, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.scaled_encoder": [[109, 1, 1, "", "RunHistoryScaledEncoder"]], "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder": [[109, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, 1, 1, "", "RunHistorySqrtScaledEncoder"]], "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder": [[110, 2, 1, "", "transform_response_values"]], "smac.runhistory.enumerations": [[111, 1, 1, "", "StatusType"]], "smac.runhistory.errors": [[112, 6, 1, "", "NotEvaluatedError"]], "smac.runhistory.runhistory": [[113, 1, 1, "", "RunHistory"]], "smac.runhistory.runhistory.RunHistory": [[113, 2, 1, "", "__contains__"], [113, 2, 1, "", "__eq__"], [113, 2, 1, "", "__getitem__"], [113, 2, 1, "", "__iter__"], [113, 2, 1, "", "__len__"], [113, 2, 1, "", "add"], [113, 2, 1, "", "add_running_trial"], [113, 2, 1, "", "add_trial"], [113, 2, 1, "", "average_cost"], [113, 3, 1, "", "config_ids"], [113, 2, 1, "", "empty"], [113, 3, 1, "", "finished"], [113, 2, 1, "", "get_config"], [113, 2, 1, "", "get_config_id"], [113, 2, 1, "", "get_configs"], [113, 2, 1, "", "get_configs_per_budget"], [113, 2, 1, "", "get_cost"], [113, 2, 1, "", "get_instance_seed_budget_keys"], [113, 2, 1, "", "get_min_cost"], [113, 2, 1, "", "get_running_configs"], [113, 2, 1, "", "get_running_trials"], [113, 2, 1, "", "get_trials"], [113, 2, 1, "", "has_config"], [113, 3, 1, "", "ids_config"], [113, 2, 1, "", "incremental_update_cost"], [113, 2, 1, "", "load"], [113, 2, 1, "", "min_cost"], [113, 3, 1, "", "multi_objective_algorithm"], [113, 3, 1, "", "objective_bounds"], [113, 2, 1, "", "reset"], [113, 3, 1, "", "running"], [113, 2, 1, "", "save"], [113, 3, 1, "", "submitted"], [113, 2, 1, "", "sum_cost"], [113, 2, 1, "", "update"], [113, 2, 1, "", "update_cost"], [113, 2, 1, "", "update_costs"], [113, 2, 1, "", "update_from_json"]], "smac.runner": [[114, 1, 1, "", "AbstractRunner"], [114, 1, 1, "", "DaskParallelRunner"], [114, 6, 1, "", "FirstRunCrashedException"], [114, 6, 1, "", "TargetAlgorithmAbortException"], [114, 1, 1, "", "TargetFunctionRunner"], [115, 0, 0, "-", "abstract_runner"], [116, 0, 0, "-", "abstract_serial_runner"], [117, 0, 0, "-", "dask_runner"], [118, 0, 0, "-", "exceptions"], [119, 0, 0, "-", "target_function_runner"], [120, 0, 0, "-", "target_function_script_runner"]], "smac.runner.AbstractRunner": [[114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"], [114, 2, 1, "", "run_wrapper"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.DaskParallelRunner": [[114, 2, 1, "", "__del__"], [114, 2, 1, "", "close"], [114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 2, 1, "", "run"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.TargetFunctionRunner": [[114, 2, 1, "", "__call__"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"]], "smac.runner.abstract_runner": [[115, 1, 1, "", "AbstractRunner"]], "smac.runner.abstract_runner.AbstractRunner": [[115, 2, 1, "", "count_available_workers"], [115, 2, 1, "", "is_running"], [115, 2, 1, "", "iter_results"], [115, 3, 1, "", "meta"], [115, 2, 1, "", "run"], [115, 2, 1, "", "run_wrapper"], [115, 2, 1, "", "submit_trial"], [115, 2, 1, "", "wait"]], "smac.runner.abstract_serial_runner": [[116, 1, 1, "", "AbstractSerialRunner"]], "smac.runner.abstract_serial_runner.AbstractSerialRunner": [[116, 2, 1, "", "count_available_workers"], [116, 2, 1, "", "is_running"], [116, 2, 1, "", "iter_results"], [116, 2, 1, "", "submit_trial"], [116, 2, 1, "", "wait"]], "smac.runner.dask_runner": [[117, 1, 1, "", "DaskParallelRunner"]], "smac.runner.dask_runner.DaskParallelRunner": [[117, 2, 1, "", "__del__"], [117, 2, 1, "", "close"], [117, 2, 1, "", "count_available_workers"], [117, 2, 1, "", "is_running"], [117, 2, 1, "", "iter_results"], [117, 2, 1, "", "run"], [117, 2, 1, "", "submit_trial"], [117, 2, 1, "", "wait"]], "smac.runner.exceptions": [[118, 6, 1, "", "FirstRunCrashedException"], [118, 6, 1, "", "TargetAlgorithmAbortException"]], "smac.runner.target_function_runner": [[119, 1, 1, "", "TargetFunctionRunner"]], "smac.runner.target_function_runner.TargetFunctionRunner": [[119, 2, 1, "", "__call__"], [119, 3, 1, "", "meta"], [119, 2, 1, "", "run"]], "smac.runner.target_function_script_runner": [[120, 1, 1, "", "TargetFunctionScriptRunner"]], "smac.runner.target_function_script_runner.TargetFunctionScriptRunner": [[120, 2, 1, "", "__call__"], [120, 3, 1, "", "meta"], [120, 2, 1, "", "run"]], "smac.scenario": [[121, 1, 1, "", "Scenario"]], "smac.scenario.Scenario": [[121, 2, 1, "", "__post_init__"], [121, 2, 1, "", "count_instance_features"], [121, 2, 1, "", "count_objectives"], [121, 2, 1, "", "load"], [121, 2, 1, "", "make_serializable"], [121, 3, 1, "", "meta"], [121, 2, 1, "", "save"]], "smac.utils": [[123, 0, 0, "-", "configspace"], [124, 0, 0, "-", "data_structures"], [125, 0, 0, "-", "logging"], [126, 0, 0, "-", "multi_objective"], [127, 0, 0, "-", "pareto_front"], [128, 0, 0, "-", "subspaces"]], "smac.utils.configspace": [[123, 5, 1, "", "convert_configurations_to_array"], [123, 5, 1, "", "get_conditional_hyperparameters"], [123, 5, 1, "", "get_config_hash"], [123, 5, 1, "", "get_types"], [123, 5, 1, "", "print_config_changes"]], "smac.utils.data_structures": [[124, 5, 1, "", "batch"], [124, 5, 1, "", "recursively_compare_dicts"]], "smac.utils.logging": [[125, 5, 1, "", "get_logger"], [125, 5, 1, "", "setup_logging"]], "smac.utils.multi_objective": [[126, 5, 1, "", "normalize_costs"]], "smac.utils.pareto_front": [[127, 5, 1, "", "calculate_pareto_front"], [127, 5, 1, "", "sort_by_crowding_distance"]], "smac.utils.subspaces": [[129, 0, 0, "-", "boing_subspace"], [130, 0, 0, "-", "turbo_subspace"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "property", "Python property"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "function", "Python function"], "6": ["py", "exception", "Python exception"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:property", "4": "py:attribute", "5": "py:function", "6": "py:exception"}, "terms": {"": [2, 3, 6, 7, 8, 10, 13, 14, 20, 32, 36, 37, 42, 43, 65, 68, 70, 78, 80, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "0": [2, 3, 4, 8, 13, 15, 16, 17, 18, 19, 20, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44, 45, 47, 48, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 113, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "00": [138, 143, 144, 147, 150, 152, 155], "000": 152, "00001": 140, "0001": [132, 139, 145], "001": [132, 139, 145], "001512079916069889": 135, "006249006102246613": 140, "01": [18, 120, 138, 155], "01538581": 144, "01725007737542561": 139, "017254719900959392": 139, "0180713": 144, "02": [143, 155], "022fca": 144, "03": [0, 138, 143, 155], "03115986": 145, "03135360777378082": 134, "03450325": 145, "03506499535747454": 136, "03561281": 145, "03706781": 144, "038952336737852145": 136, "04": [0, 138, 144, 155], "04070615768432617": 145, "05": [72, 73, 74, 75, 76, 77, 90, 93, 155], "06808114051818848": 140, "08": [86, 88, 143, 147, 155], "08447232371720552": [42, 45], "0888": 154, "08dfd2": 141, "09": [131, 141], "0912": 6, "0919630453331843e": 141, "09616130553975616": 135, "0c9159": 145, "1": [0, 3, 4, 12, 13, 14, 19, 20, 24, 25, 26, 27, 30, 32, 34, 42, 45, 46, 47, 48, 57, 59, 61, 62, 64, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 79, 81, 85, 86, 88, 90, 91, 92, 93, 101, 104, 121, 123, 124, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 150, 154], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 68, 70, 86, 88, 131, 132, 133, 134, 135, 136, 139, 141, 144, 145, 154], "100": [2, 4, 7, 121, 131, 133, 134, 139, 140, 141, 144], "1000": [4, 42, 45, 131, 132, 148], "10000": [42, 47, 131, 141], "100000": [72, 73, 74, 75, 76, 77], "10116174": 144, "102": 16, "1048576": [42, 47, 86, 88], "107": 136, "10bb50": [131, 135], "11": [32, 34, 144], "1102": 134, "11051": 6, "11d305": 144, "12": [24, 29, 140, 141, 155], "120": 3, "121": 16, "12157768": 145, "1276c6": 144, "128": 136, "13155096": 144, "132": 16, "134": 132, "137256": 144, "1377ef": 144, "14": [132, 139], "140": [16, 132], "14180c": 145, "143b21": 144, "145": [134, 138, 155], "147": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "148": 132, "15": 140, "150": [139, 140, 141, 144], "151": 132, "15489347419148672": 140, "156": 145, "15606725": 144, "15dfc6": [131, 135], "16": [6, 42, 43, 45, 57, 61, 64, 136], "16190255": 145, "164": [139, 140, 141], "166": 141, "16916": 133, "16c6ab": 139, "18": [0, 141], "182": 139, "184825": 144, "186": 132, "19": [148, 150, 155], "190413": 144, "1997": [32, 34], "1_basic": [132, 134, 138, 155], "1_call_target_function_script": [148, 150, 155], "1_mlp_epoch": [139, 143, 155], "1_quadratic_funct": [131, 138, 155], "1_schaffer": [144, 147, 155], "1add8f": 131, "1c22be": 144, "1cfe87": 133, "1d30ce": 139, "1df92e": 144, "1e": [24, 29, 72, 73, 74, 75, 76, 77, 86, 88, 136], "1eac88": 144, "1ee992": 144, "1f3477": 144, "2": [0, 3, 7, 13, 24, 26, 32, 34, 35, 37, 42, 47, 57, 61, 86, 88, 94, 97, 131, 132, 133, 134, 136, 139, 140, 141, 144, 145, 147], "20": [0, 3, 20, 42, 44, 45, 47, 68, 78, 86, 88, 133, 134], "200": [4, 15, 134, 139, 140, 141, 145], "2000": [42, 44], "2015": [90, 93], "2017": [68, 70, 78, 80], "2021": [8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "2022": 154, "2023": 0, "203": 139, "209652396": 135, "20abef1ade71915352217400c11ece4c2f35163": 127, "21": [136, 138, 154, 155], "210": [141, 143, 155], "21179260686039925": 134, "21992087": 145, "2204": 6, "222": 132, "224": 135, "23": 154, "249": 141, "25": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 131, 135, 139, 148], "250": 140, "256": [136, 139, 145], "25858188": 145, "259": 132, "262": [131, 138, 155], "2629": 141, "26694769": 144, "27": [140, 141], "27278602": 145, "279": 143, "27e052": 133, "283": 138, "287": 135, "28970257": 144, "28c9f9": 144, "2942cc": 144, "298": 139, "2_multi_fidel": [143, 155], "2_parego": [145, 147, 155], "2_sgd_dataset": [140, 143, 155], "2_svm_cv": [132, 138, 155], "2a16b": 145, "2b67dd": 139, "2be60": 144, "2cb75c": 144, "2d": [146, 147, 151, 155], "2d8007": 131, "2da694": [131, 135], "2dc22a": 144, "2e6e80": 144, "3": [0, 1, 7, 9, 13, 15, 42, 44, 45, 46, 47, 48, 49, 57, 59, 60, 61, 62, 86, 88, 94, 97, 131, 132, 133, 134, 135, 136, 139, 140, 141, 143, 144, 145, 148, 154], "30": [20, 134, 139, 140, 145, 148], "300": [139, 140, 145], "3000": 144, "3012995719909668": 139, "305": [131, 135, 141, 144, 148], "30847043171525": 134, "31127119064331055": 139, "319": [131, 132, 133, 135, 139, 140, 141, 144], "323": [139, 140, 141], "325": [139, 140, 141], "327": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328b60": 141, "329": [131, 132, 133, 135, 136, 139, 140, 141, 143, 144, 145, 148, 155], "33": 138, "330": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "3301b5": 141, "3301f2": 144, "332": 135, "333333333333332": 139, "33571785": 144, "34": [140, 143, 155], "341": [32, 34], "35": [145, 147, 155], "350": 140, "353acf": 144, "359": [32, 34], "3623cc": 145, "36672856700711853": 139, "36aac3": 144, "377": 139, "377565": 145, "381e14": 144, "38310a": 133, "39731087": 144, "3995": 6, "39d7fb": 144, "3_ask_and_tel": [133, 138, 155], "3_multi_object": [147, 155], "3_specify_hb_via_total_budget": [141, 143, 155], "3a": 6, "3b05b0": 145, "3b5efd": 145, "3df2e2": 144, "3e3235": 144, "3f4152": 144, "4": [1, 2, 13, 18, 42, 44, 57, 62, 120, 131, 133, 134, 136, 139, 140, 141, 144, 145], "40": [20, 134, 136, 140], "400": 140, "401148": 144, "4097ee": 144, "40ecfc": 144, "41": 143, "41439": 139, "426c34": 144, "427430": 144, "4380b1": [131, 135], "44": 147, "4431ec": 144, "44c9c5": 144, "45": [16, 140], "450": 140, "4522": [24, 28], "4529": 140, "45fd01": 144, "4655": 132, "465623793958126": 134, "4687bd": 144, "47e5f6": 144, "48": 16, "4891db": 144, "497": 135, "4_callback": [134, 138, 155], "4a175d": 131, "4ba1ca": 132, "4ba6ad": 144, "4e3320": 133, "5": [3, 4, 13, 18, 32, 36, 42, 44, 47, 72, 75, 86, 88, 101, 102, 104, 105, 107, 108, 109, 114, 117, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 154], "50": [3, 13, 20, 42, 45, 47, 48, 50, 51, 68, 78, 131, 132, 133, 134, 135, 140, 141, 144], "500": [3, 139, 141, 148], "5000": [32, 33, 34, 36, 37, 38, 140], "501a6b": 144, "503": [135, 138, 155], "505": 13, "50b29b": 144, "512": 136, "514": [132, 138, 155], "515": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "51851851851852": 141, "51922763": 144, "52ad27": 144, "53144c": 133, "5323": [18, 120], "53c9bc": 144, "54": 154, "540db2": 145, "5458844": 145, "5471814": 144, "55": 141, "55555555555555": 141, "558": 6, "568877": 148, "57": [132, 134], "57585333": 144, "58": [132, 139, 143, 155], "58831296": 144, "58c3ff": 133, "59": 16, "591306": 144, "594": [131, 133, 135, 136, 139, 140, 141, 145, 148], "59746979e": 144, "598f3b": 139, "59eb1b": 139, "5_commandlin": [150, 155], "5_continu": [135, 138, 155], "5afac4": 141, "5b27dc": 144, "5b688c": 141, "5beafa": 148, "5d4ba2": 144, "5dcf41": 144, "5efb80": 144, "5f1f97": 144, "6": [16, 42, 44, 47, 86, 88, 123, 138, 140, 141, 144, 145], "60": [136, 139], "60155834": 145, "602": [144, 145], "61206b": 144, "61be50": 144, "627": 144, "6296296296296": 141, "631e51": 144, "636811": 144, "63894427": 145, "64": [0, 1, 32, 37], "64041424": 145, "65": 16, "659942": 144, "65debb": 144, "663b3d": 144, "66666666666666": 141, "6666666666666665": 140, "6718e9": 144, "6764193577937531": 133, "67ed09": 144, "67f6e7": 144, "68075279": 144, "68f8e1": 144, "69": 141, "69596028": 145, "6_prior": [136, 138, 155], "6a2c79": [131, 135], "6a6aa0": 133, "6acb23": 136, "7": [13, 66, 67, 68, 69, 70, 78, 86, 88, 89, 144, 148], "7011175854063811e": 131, "7268bc": 144, "733044": 145, "73b5b196b35fb23e1f908d73b787c2c2942fadb5": 6, "74": 145, "740": [139, 143, 155], "74709967": 144, "75": 13, "75dedd": 144, "76a0b6": 145, "7777777777777777": 139, "786a51": 144, "7870ec": 148, "7877872130716": 134, "78cd53": 144, "795280": 144, "7a1d9c": 141, "7c9235": 144, "7cadd3": 141, "7cf354": 144, "7d4910": 144, "7ec7f": 136, "7edcd1": 144, "7ef5b0": 144, "7f755d": 144, "8": [1, 3, 12, 13, 42, 43, 45, 57, 62, 64, 86, 88, 132, 136, 139, 141, 144, 145, 148, 154], "802816901408451": 141, "8035c4": 141, "812224": 140, "814da4": 144, "815e1c": 139, "81ee7b": 144, "82": 139, "8333333333333334": [42, 44, 86, 88], "834": 147, "850f72": 144, "85f0af": 144, "860188": 144, "866": [148, 150, 155], "876": [144, 147, 155], "87600685": 144, "8787": 139, "87d6f4": 139, "87ec5b": 139, "884840": 140, "88bb69": 148, "892676": 144, "894517": 144, "89e67c": 144, "8ac7b9": 144, "8b3403": 131, "8d6767": 131, "8d742e": 144, "9": [1, 32, 34, 139, 140, 141, 144, 154], "90": 133, "902c13": 144, "90371158": 144, "9040f2": 145, "90e199": 144, "91bfd9": 144, "922896": 144, "926": [136, 138, 155], "932722": 144, "933": [133, 138, 155], "938c0d": 139, "94960333e": 144, "94ea8a": 144, "95": 148, "958": [145, 147, 155], "970": 132, "989599": 144, "99": 16, "9968221839517355": 134, "9999": [131, 141], "999999": 134, "9a770c": 133, "9c6906": 144, "9d232c": 144, "9f0e84": 144, "9f5b5b": 131, "A": [3, 6, 7, 9, 24, 29, 32, 36, 64, 68, 70, 78, 80, 90, 91, 92, 93, 114, 115, 116, 117, 119, 120, 135, 144, 152, 154], "And": [135, 136], "As": [12, 24, 25, 116, 135, 136], "But": [3, 140], "By": [2, 139], "FOR": 9, "For": [0, 3, 7, 8, 13, 15, 16, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 72, 73, 114, 115, 116, 117, 119, 121, 139, 154], "IN": 141, "If": [0, 1, 3, 8, 9, 10, 13, 17, 18, 19, 22, 24, 29, 32, 33, 42, 43, 47, 49, 57, 58, 61, 62, 64, 65, 66, 68, 72, 73, 78, 85, 86, 88, 94, 97, 99, 101, 102, 113, 114, 117, 120, 121, 125, 126, 132, 140, 141, 154], "In": [0, 3, 7, 12, 13, 14, 15, 16, 18, 19, 22, 32, 33, 42, 43, 57, 58, 62, 65, 68, 70, 78, 79, 80, 84, 99, 100, 113, 114, 115, 116, 117, 119, 121, 134, 135, 139, 140, 141, 144, 145, 154], "It": [2, 7, 13, 17, 57, 58, 64, 86, 88, 114, 117, 132, 133], "Its": 154, "No": [6, 21, 42, 46, 48, 57, 62], "Not": 3, "On": [21, 72, 73, 114, 115, 116, 117, 142, 143, 151, 155], "Or": [1, 15], "That": [13, 14, 42, 47], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 84, 85, 86, 88, 94, 95, 97, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 127, 131, 133, 139, 144, 145, 154], "Then": 132, "There": [57, 58], "These": [13, 136], "To": [1, 8, 10, 13, 16, 114, 117, 135, 136, 139], "Will": [114, 117], "With": [42, 43], "_": [133, 140], "__call__": [24, 25, 72, 73, 90, 91, 92, 93, 114, 119, 120, 132], "__class__": 139, "__contains__": [99, 113, 132], "__copyright__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__del__": [114, 117], "__eq__": [99, 113], "__future__": [134, 135, 140, 141, 144, 145], "__getitem__": [99, 113], "__init__": [134, 135, 140], "__iter__": [57, 58, 61, 64, 99, 113], "__len__": [99, 113], "__license__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__main__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__name__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__post_init__": [57, 58, 62, 121], "_acquisition_funct": [24, 28], "_beta": [24, 26], "_call": [72, 73], "_challeng": [32, 33], "_cost_per_config": [99, 113], "_data": 140, "_eta": [24, 27, 28], "_function": [24, 28], "_get_gradi": [79, 80, 84], "_get_log_prob": [79, 80, 84], "_log": [24, 27], "_max_incumb": [57, 58], "_maxim": [32, 33], "_num_data": [24, 26], "_num_trials_per_config": [99, 113], "_predict": [66, 67], "_probabl": [94, 96], "_results_queu": [114, 115, 116, 117], "_sample_from_prior": 80, "_select_configur": [50, 51], "_stop_aft": 135, "_tf_instanc": [57, 58], "_tf_seed": [57, 58], "_train": [66, 67], "_updat": [24, 25], "_xi": [24, 27], "a028a8": 131, "a21384": 144, "a34626": [131, 135], "a7b2c5": 144, "a840bc": 133, "a8a5e7": 144, "a96569": 144, "aa0986": 144, "ab179": 144, "abc": [90, 91, 114, 115], "abil": 13, "abl": [21, 114, 115, 132], "abort": [114, 118, 135], "about": [8, 12, 13, 57, 60, 61, 65, 72, 73, 99, 100, 114, 115, 132, 136], "abov": 19, "absolut": [42, 48], "abstract": [24, 25, 32, 33, 42, 43, 57, 58, 66, 67, 68, 69, 80, 86, 87, 90, 91, 94, 95, 101, 102, 114, 115, 117], "abstract_facad": [139, 145], "abstract_initial_design": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_intensifi": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_runn": 132, "abstractacquisitionfunct": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 49], "abstractacquisitionmaxim": [32, 33, 34, 36, 37, 38, 42, 43], "abstractfacad": [42, 43, 44, 45, 47, 49, 139, 144, 145], "abstractgaussianprocess": [68, 69, 70, 78], "abstractinitialdesign": [42, 43, 50, 51, 52, 53, 54, 55, 56], "abstractintensifi": [42, 43, 57, 58, 61, 62, 65], "abstractkernel": [72, 73, 74, 75, 76, 77], "abstractmodel": [24, 25, 29, 42, 43, 66, 67, 68, 69, 85, 86, 87, 89], "abstractmultiobjectivealgorithm": [42, 43, 90, 91, 92, 93, 99, 101, 102, 113], "abstractprior": [72, 73, 79, 80, 81, 82, 83, 84], "abstractrandomdesign": [32, 33, 35, 42, 43, 49, 94, 95, 96, 97, 98], "abstractrandomforest": [86, 87, 88], "abstractrunhistoryencod": [42, 43, 101, 102, 104, 105], "abstractrunn": [42, 43, 65, 114, 115, 116, 117], "abstractserialrunn": [114, 116, 119, 120], "ac": [90, 93], "ac4b99": 139, "accept": [3, 42, 49, 139], "access": [72, 73], "accord": [32, 34, 36, 94, 96, 98], "accordingli": [99, 113, 136], "account": [86, 88, 101, 102, 139], "accuraci": [2, 3, 19, 136, 139, 145], "acfacad": 3, "achiev": [1, 3], "acquisit": [3, 6, 15, 22, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 78, 101, 104, 136], "acquisition_funct": [24, 26, 28, 29, 31, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 65, 136], "acquisition_maxim": [42, 43, 44, 45, 46, 47, 48, 49], "acqusit": [24, 25], "across": [2, 7, 22, 42, 43, 46, 48, 57, 62, 65, 99, 113, 114, 115, 117, 119, 140], "act": [132, 134], "activ": [1, 8, 72, 73, 114, 117, 136, 139, 145], "actual": [68, 78, 114, 115], "ad": [1, 13, 39, 40, 57, 58, 61, 62, 72, 73, 99, 113, 123, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "ad8450": 133, "adam": [136, 139, 145], "adapt": [7, 80, 139, 140, 145], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 61, 62, 65, 99, 113, 132, 136, 139, 140, 145], "add_condit": [132, 139, 145], "add_hyperparamet": [131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "add_running_tri": [99, 113], "add_trial": [99, 113], "addit": [13, 19, 21, 24, 25, 42, 44, 45, 47, 48, 49, 50, 51, 57, 58, 99, 113, 114, 115, 117, 119, 120, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "addition": [3, 16, 101, 102], "additional_config": [42, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 136], "additional_info": [13, 18, 99, 100, 113, 114, 115, 117, 119, 120], "adjust": [94, 97], "advanc": 19, "advantag": 139, "afefef": 144, "affect": [10, 42, 45, 47, 48, 50, 51, 57, 58], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 62, 64, 65, 94, 97, 133, 134, 135, 139, 145], "afterward": [13, 57, 61], "again": [13, 19, 42, 48, 57, 58, 64, 135], "against": [7, 8, 42, 48, 57, 58, 61], "aggreg": [2, 15, 42, 44, 45, 47, 49, 90, 92], "aggress": [42, 46, 49, 139, 154], "agnost": 2, "aka": [114, 115, 117], "al": [8, 24, 28, 29, 68, 78], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 99, 101, 102, 113, 114, 115, 119, 120, 127, 132, 140, 154], "algorithm_kwarg": [114, 119, 120, 132], "algorithmconfigurationfacad": [3, 42, 44], "all": [3, 7, 13, 15, 17, 18, 19, 20, 22, 24, 29, 32, 36, 42, 43, 46, 48, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 72, 73, 80, 85, 86, 87, 88, 99, 101, 102, 113, 114, 115, 116, 117, 118, 119, 120, 121, 125, 131, 132, 133, 136, 139, 140, 141, 144, 151, 155], "alloc": [114, 117, 139], "allow": [24, 29, 57, 58, 121], "along": [9, 66, 67], "alpha": [131, 136, 140, 141, 144], "alreadi": [8, 13, 24, 25, 57, 61, 64, 65, 99, 113, 133, 135, 139], "also": [2, 3, 7, 8, 13, 14, 18, 19, 21, 32, 33, 57, 58, 68, 78, 99, 113, 114, 115, 117, 120, 126, 132, 135, 136, 139, 145], "altern": [1, 15, 132, 140], "although": [13, 57, 58], "alwai": [3, 8, 13, 57, 58, 62, 133], "amend": [57, 58], "among": [114, 115], "amount": [57, 58, 61, 94, 97, 114, 117], "an": [0, 1, 2, 3, 7, 8, 13, 14, 15, 17, 18, 21, 24, 25, 32, 33, 35, 39, 40, 42, 43, 44, 45, 47, 49, 57, 58, 61, 68, 78, 90, 92, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 118, 119, 120, 124, 125, 131, 132, 136, 137, 138, 139, 140, 145, 151, 154, 155], "anaconda": [0, 8], "anaconda3": 0, "andr\u00e9": 154, "ani": [0, 1, 2, 7, 8, 9, 10, 13, 20, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 135, 136, 141, 148], "anneal": [13, 94, 96], "annot": [134, 135, 140, 141, 144, 145], "anoth": [7, 13, 99, 113], "any_budget": [42, 46, 48, 57, 62], "anymor": 21, "anyoptim": 127, "anyth": [18, 72, 73], "append": [65, 101, 102, 139], "appli": [12, 66, 67, 80, 131], "applic": [8, 14], "approach": [6, 42, 49], "approxim": [6, 13], "apt": [0, 1], "ar": [0, 2, 3, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 27, 32, 35, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "arbitrari": [2, 3, 114, 115, 117, 119, 120, 133, 154], "area": [32, 34], "arg": [50, 56, 86, 87, 101, 106, 110], "argsort": 145, "argument": [3, 13, 14, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 65, 72, 73, 114, 115, 117, 119, 120, 121, 140, 145, 148], "around": [114, 115], "arrai": [72, 73, 145], "articl": 154, "artifici": [2, 135], "artur": 6, "arxiv": 6, "ask": [10, 13, 22, 39, 40, 42, 43, 65, 137, 138, 151, 155], "assert": [133, 134, 135, 139], "associ": [13, 19, 65, 121], "assum": [7, 8, 42, 43, 57, 58, 114, 118], "assumpt": [86, 88], "attach": [42, 43, 114, 117], "attempt": 21, "attent": 13, "attribut": [24, 25], "augment": [6, 7, 16, 24, 29], "author": 154, "auto": 132, "automat": [10, 22, 42, 43, 114, 117], "automl": [0, 1, 8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "avail": [13, 18, 42, 48, 57, 58, 114, 115, 116, 117, 144], "averag": [19, 42, 43, 44, 45, 47, 49, 65, 90, 92, 99, 113, 139, 145], "average_cost": [13, 19, 99, 113, 145], "average_pareto_cost": 145, "average_sampl": [68, 78], "avoid": [24, 29], "awar": 2, "axi": 132, "b": [57, 58, 132], "b03e1a": 144, "b10fe9": 144, "b19632": 144, "b2d235": 144, "b3f935": 141, "b61b81": 139, "b6e2c1": 144, "b6f791": 144, "b9cbc7": 141, "b9f3bd": [131, 135], "ba9a35": 141, "back": [2, 13], "backend": [42, 43], "balanc": [24, 26, 27, 30, 42, 44, 45, 47], "bandit": [6, 7], "base": [6, 7, 8, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 126, 132, 140, 154], "baserunn": [114, 117], "bash": [0, 18, 148], "basi": 127, "basic": [13, 15, 42, 44, 45, 47, 49, 57, 58, 61, 133], "batch": [57, 62, 124, 136, 139], "batch_siz": [136, 139, 145], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 65, 68, 70, 78, 80, 94, 97, 134, 154], "bb": 7, "bb0bce": 144, "bb24df": 144, "bbfacad": 3, "bd5027": 144, "bdbb31": 141, "be5418": 144, "bec0fc": [131, 135], "becaus": [12, 13, 21, 72, 73, 99, 113, 114, 115, 118, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "been": [0, 1, 2, 8, 13, 17, 19, 21, 57, 58, 62, 64, 99, 100, 113, 114, 115, 116, 117, 133], "befor": [8, 13, 21, 24, 25, 32, 36, 37, 39, 40, 41, 42, 43, 47, 64, 65, 68, 78, 94, 97, 114, 115, 116, 117, 135, 139, 145], "beforehand": [13, 136, 141], "begin": [32, 36, 94, 95, 97], "behav": [8, 24, 29], "behavior": 10, "behaviour": [10, 20, 42, 43, 57, 58, 61, 62, 65], "behind": [3, 13], "being": [2, 7, 72, 73, 114, 119], "belief": [6, 24, 29, 136], "believ": 136, "below": 19, "benchmark": [121, 132], "benjamin": 154, "best": [3, 4, 7, 13, 24, 26, 27, 32, 36, 42, 43, 46, 48, 49, 57, 62, 65, 131, 132, 133, 134, 135, 140, 141, 145, 148], "beta": [24, 26, 136], "beta_t": [24, 26], "betaintegerhyperparamet": 136, "better": [3, 12, 13, 42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148, 154], "between": [24, 26, 27, 30, 42, 44, 45, 47, 65, 66, 67, 86, 88, 101, 106, 108, 109, 110], "bf189c": 144, "bham": [90, 93], "biedenkapp": 154, "big": [42, 43, 65, 114, 115, 117, 119], "bin": [0, 18, 24, 29, 148], "binari": 140, "binder": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "black": [2, 3, 7, 131], "blackboxfacad": [3, 18, 42, 45, 148], "blob": 127, "blue": [131, 141, 144], "bo": [7, 42, 43], "bohb": [3, 7, 8, 139], "bool": [13, 24, 27, 29, 39, 40, 42, 43, 44, 47, 57, 58, 61, 62, 65, 68, 70, 72, 73, 78, 86, 88, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 134, 135], "boolean": [72, 73], "bootstrap": [21, 42, 44, 47, 86, 88], "both": [2, 3, 14, 15, 57, 58, 64, 116, 139, 145], "botorch": 2, "bound": [13, 24, 26, 79, 84, 99, 113, 123, 126, 145], "box": [2, 3, 7, 131], "bracket": [42, 46, 48, 57, 59, 62, 139, 140, 141], "bridg": [114, 117], "brown": 154, "browser": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "bsd": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "budget": [2, 3, 7, 13, 14, 17, 18, 19, 42, 43, 44, 46, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "budget_exhaust": 65, "budget_subset": [99, 101, 102, 113], "budget_us": 60, "budgets_in_stag": 60, "bug": 8, "build": [0, 1, 132, 136, 139, 140], "bunch": 13, "burn": [68, 78], "burning_step": [68, 78], "c": [3, 4, 90, 93, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "c13402": 144, "c1d379": 144, "c20683": 144, "c22923": 144, "c284f2": 144, "c287f1": 144, "c31df1": 144, "c4bc7d": 144, "c714f5": [131, 135], "c7846c": 144, "c7a507": 144, "cabaca": 131, "cach": [99, 113], "cacul": 60, "calcul": [13, 17, 24, 25, 99, 113, 131, 132, 133, 136, 139, 141, 148], "calculate_pareto_front": [57, 58, 127], "call": [7, 13, 17, 22, 24, 25, 32, 33, 37, 39, 40, 41, 42, 43, 49, 50, 51, 57, 58, 65, 66, 67, 72, 73, 74, 79, 80, 84, 89, 114, 115, 116, 117, 119, 120, 124, 132, 133, 135, 136, 149, 150, 151, 155], "callabl": [13, 35, 42, 43, 114, 119, 120], "callback": [22, 35, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 65, 135, 137, 138, 151, 155], "can": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 31, 32, 33, 34, 36, 37, 42, 43, 46, 48, 57, 58, 62, 65, 68, 78, 99, 113, 114, 115, 116, 117, 119, 121, 125, 132, 133, 135, 136, 139, 144, 145, 149, 151, 154], "cancel_command": 21, "candid": [32, 34, 38], "cannot": [8, 21], "canon": [79, 81], "capabl": [2, 114, 117], "care": [8, 13, 42, 43], "carl": [6, 24, 29], "carlo": [7, 68, 78], "carolin": 154, "case": [0, 1, 2, 3, 13, 14, 15, 17, 21, 24, 29, 32, 36, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 64, 65, 99, 100, 113, 114, 115, 116, 117, 121, 135, 140, 151], "cat": 3, "catch_warn": [136, 139, 140, 145], "categor": [2, 3, 32, 36, 42, 45, 132, 136, 139, 140, 145], "categori": 136, "categoricalhyperparamet": 136, "cc": [24, 28], "cd": [0, 1], "cdd1aa": 141, "cdf": [24, 30], "ce39dc": 136, "ce6578": 141, "ce9ad7": 144, "ceil": [139, 145], "center": 136, "certain": 22, "chain": [7, 68, 78], "chain_length": [68, 78], "challeng": [13, 32, 33, 34, 35, 36, 37, 38, 42, 43, 45, 47, 57, 58, 61, 94, 95, 114, 115, 123], "challenger_callback": 35, "challengerlist": [13, 32, 33, 35], "chanc": 13, "chang": [0, 1, 3, 10, 13, 20, 57, 58, 62, 72, 73, 99, 113, 132, 136], "channel": 1, "channel_prior": 1, "chapter": [7, 22], "char": 123, "characterist": 2, "check": [0, 1, 13, 57, 58, 64, 65, 94, 95, 96, 97, 98, 99, 113, 114, 115, 121, 135], "child": [8, 21, 50, 51, 114, 115, 132, 139, 145], "chmod": 18, "choic": 139, "choos": [42, 45, 68, 78, 139], "chosen": [42, 45, 139, 151], "chunk": 124, "circumv": [32, 36], "cite": 154, "class": [13, 15, 20, 24, 32, 39, 42, 50, 57, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "classa": 140, "classb": 140, "classifi": [4, 132, 136, 139, 140, 145], "claus": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "clf": 140, "cli": 7, "client": [21, 42, 43, 114, 117], "clone": 1, "close": [42, 43, 114, 117], "closest": [3, 8, 139], "closur": 35, "cluster": [22, 42, 43, 114, 117, 139], "code": [4, 8, 10, 13, 18, 19, 32, 36, 57, 58, 68, 70, 78, 79, 84, 114, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151], "coef": 132, "coef0": 132, "colab": 8, "collect": [13, 72, 73, 74, 114, 115, 117], "com": [0, 1, 127, 154], "combin": [7, 42, 43, 57, 58, 65, 90, 91, 92, 93, 99, 113, 114, 115, 117, 121, 132, 139, 140, 154], "come": [19, 114, 117], "comma": [18, 120], "command": [0, 1, 2, 7, 21, 22], "commandlin": 2, "common": [0, 3, 114, 115, 117, 136], "commun": [12, 133], "communc": 21, "compar": [7, 13, 19, 42, 46, 49, 57, 58, 62, 123, 124, 127, 139], "comparison": [8, 42, 48, 57, 58], "compil": 8, "complet": [10, 13, 19, 42, 43, 60, 65, 114, 115, 116, 117], "complex": [2, 13, 22, 114, 115], "compli": [114, 117], "compon": [3, 18, 22, 42, 43, 44, 64, 66, 67, 68, 69, 70, 78, 86, 88, 135], "composit": [42, 45], "compromis": 7, "comput": [13, 24, 25, 26, 28, 79, 80, 84, 99, 113, 127], "concret": [32, 33, 66, 67], "conda": 0, "condit": [2, 72, 73, 123, 132, 139, 140, 145], "conduct": 136, "confer": 154, "confid": [13, 24, 26, 42, 49], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 61, 62, 64, 65, 99, 100, 111, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "config_copi": 132, "config_dict": 132, "config_gener": [13, 57, 58], "config_id": [99, 100, 113, 131, 139, 141], "config_instance_seed_budget_kei": 127, "config_selector": [13, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58], "configs_arrai": [101, 102], "configselector": [12, 13, 42, 43, 45, 57, 58, 64], "configspac": [3, 4, 32, 33, 34, 35, 36, 37, 38, 66, 67, 68, 69, 70, 78, 86, 88, 89, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 62, 64, 65, 79, 80, 84, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "configurationspac": [2, 3, 4, 32, 33, 35, 36, 37, 66, 67, 68, 69, 70, 78, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "consequ": 2, "consid": [13, 17, 19, 21, 42, 44, 47, 49, 57, 58, 86, 88, 99, 101, 102, 113, 116, 139, 140, 145], "considered_st": [13, 101, 102, 104, 105, 107, 108, 109], "consist": [10, 24, 31, 32, 33, 42, 43, 136, 139, 140, 145, 154], "consol": 20, "constant": [24, 29, 32, 36, 94, 97, 139, 140, 145], "constant_valu": [72, 73], "constant_value_bound": [72, 73], "constantkernel": [72, 73], "constraint": [121, 140], "construct": [3, 114, 117], "consum": [114, 115], "contain": [15, 42, 43, 65, 72, 73, 99, 113, 114, 115, 116, 117, 127], "content": 148, "context": [7, 121], "contin": [24, 29], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 61, 62, 64, 99, 113, 132, 133, 136, 137, 138, 139, 144, 151, 154, 155], "contrast": 3, "contribut": [8, 154], "control": [10, 24, 26, 27, 30, 42, 44, 45, 46, 47, 48, 57, 58, 60, 62], "convent": [32, 34], "convergencewarn": 136, "convert_configurations_to_arrai": 123, "copi": [9, 24, 28, 57, 58], "copyright": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "core": [0, 3, 12, 42, 43, 65, 114, 115, 117, 119, 154], "corner": [13, 50, 53], "correctli": 21, "correspond": [66, 67, 79, 81, 126, 135], "cosin": [94, 96], "cosineannealingrandomdesign": [94, 96], "cost": [7, 13, 15, 16, 18, 22, 42, 43, 47, 57, 58, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "costs_i": 145, "costs_x": 145, "could": [3, 8, 13, 18, 114, 118, 121, 140], "count": [17, 121], "count_available_work": [114, 115, 116, 117], "count_instance_featur": 121, "count_object": 121, "counterproduct": 21, "covari": [66, 67], "covariance_typ": [66, 67], "cover": [42, 45, 47, 48, 50, 51], "cpu": [11, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "cputim": 65, "cputime_limit": 121, "crash": [8, 101, 102, 114, 118, 132], "crash_cost": 121, "creat": [0, 1, 8, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 117, 119, 120, 132, 135, 136, 139, 140, 145], "criteria": 22, "critic": 20, "cross": [2, 7, 121, 136, 137, 138, 139, 140, 145, 151, 155], "cross_val_scor": [4, 132, 136, 139, 140, 145], "crowd": [57, 58, 127, 144], "crucial": [3, 20, 42, 48, 57, 58, 139], "cryptic": 8, "curl": 0, "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 42, 43, 49, 57, 58, 59, 61, 62, 65, 68, 70, 94, 98, 99, 100, 101, 102, 113, 134], "custom": [15, 21, 22, 42, 43, 125, 135, 137, 138, 151, 155], "customcallback": [13, 134], "customiz": 20, "cut": [18, 57, 58, 148], "cv": [4, 7, 132, 136, 139, 140, 145], "d": [0, 18, 20, 24, 26, 148], "d0": 16, "d1": [16, 124], "d2": [16, 124], "d25f7e": 144, "d3": 16, "d4": 16, "d4166e": 144, "d5d1f3": 144, "d645c9": 144, "d7ecca": [131, 135], "da5bdf": 133, "danni": 6, "dask": [21, 42, 43, 114, 117, 119, 121], "dask_client": [42, 43, 44, 45, 46, 47, 48, 49, 114, 117], "dask_data_to_scatt": [114, 115, 117, 119], "dask_runn": [42, 43], "daskparallelrunn": [114, 117], "data": [3, 4, 7, 10, 13, 14, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 44, 47, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 148], "data_to_scatt": [42, 43, 65], "dataclass": 133, "dataset": [2, 4, 7, 16, 42, 43, 65, 114, 115, 117, 119, 121, 132, 136, 139, 142, 143, 145, 151, 155], "db0045": 144, "dc0cd8": 144, "dc55be": 144, "dc7dee": 144, "ddd02b": 144, "de": [42, 43, 65, 114, 115, 117, 119], "deactiv": 139, "debug": [20, 42, 43], "decai": [24, 29], "decay_beta": [24, 29, 136], "decid": [13, 42, 43, 65, 114, 115, 154], "decis": [114, 115, 116, 117], "declar": [18, 72, 73, 148], "decoupl": 13, "decreas": [94, 96, 97, 98], "deep": [3, 72, 73, 139], "def": [3, 4, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "default": [3, 8, 13, 14, 15, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 92, 93, 94, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "default_config": 136, "default_cost": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "default_valu": 136, "defaultinitialdesign": [42, 44, 49, 50, 52], "defaut": [32, 36], "defin": [3, 16, 19, 24, 29, 32, 33, 36, 42, 43, 65, 80, 99, 111, 114, 115, 121, 132, 133, 136, 139, 140, 145], "degre": 132, "delet": [114, 117], "deng": 154, "densiti": [24, 29], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 32, 33, 42, 45, 66, 67, 90, 91, 114, 118, 121, 132], "deprecationwarn": [132, 134], "depth": [42, 44, 47, 86, 88, 132], "deriv": [10, 135, 136], "desalvo": 6, "descent": [142, 143, 151, 155], "describ": [42, 43, 65], "descript": 8, "design": [3, 6, 7, 22, 32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 64, 94, 95, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "detail": [1, 3, 7, 24, 28, 29, 32, 33, 42, 48, 139], "determin": [2, 8, 14, 42, 43, 57, 58, 60, 68, 72, 73, 78, 116], "determine_hb": 60, "determine_hyperband_for_multifidel": 60, "determinist": [4, 8, 121, 131, 133, 135, 141, 144, 148], "dev": 1, "devdoc": [50, 56], "develop": [57, 58, 154], "deviat": [66, 67, 79, 83, 136], "df326a": 131, "diagon": [66, 67], "dict": [24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 124, 132, 134, 140, 144, 145], "dictat": [114, 115, 117], "dictionari": [15, 99, 113, 124, 132, 134], "did": [3, 10], "difan": 154, "diff": 124, "diff_b_a": 132, "differ": [3, 7, 8, 13, 16, 17, 18, 39, 40, 42, 43, 57, 58, 86, 88, 90, 91, 114, 115, 121, 123, 124, 136, 139, 140, 145], "differenti": [13, 32, 34], "differentialevolut": [32, 34], "differentialevolutionsolv": [32, 34], "digit": [136, 139, 140, 145], "digitsdataset": 140, "dimens": [24, 26, 66, 67, 132, 133], "dimension": [2, 13, 42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 133], "directli": [1, 3, 13, 14, 15, 18, 114, 119], "directori": [8, 65, 121], "disabl": [2, 20, 42, 45, 47, 48, 50, 51, 134], "disable_existing_logg": 20, "discard": [2, 42, 46, 48, 57, 60, 62], "discov": 8, "discrep": 13, "discret": [24, 29, 136], "discrete_bins_factor": [24, 29], "discuss": [8, 22], "disk": [99, 113], "displai": 20, "distanc": [57, 58, 101, 102, 127, 144], "distribut": [9, 13, 42, 43, 65, 79, 81, 83, 86, 88, 114, 115, 117, 119, 139], "dive": [3, 13], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 65, 114, 115, 117, 119, 135, 136, 148], "doc": [50, 54], "docstr": [99, 113], "document": [1, 3, 32, 34, 57, 59], "doe": [7, 8, 20, 21, 24, 31, 32, 34, 35, 65, 94, 97, 99, 113, 114, 117], "dog": 3, "domain": 133, "don": [3, 8, 135], "done": [18, 21, 42, 43, 57, 61, 114, 115, 116, 117, 148], "down": 135, "download": [0, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "drastic": 13, "drawn": [42, 43, 44, 45, 47, 68, 70, 80, 94, 98], "drive": 0, "due": [21, 32, 34, 140], "dummi": [42, 49, 141], "dump": 0, "dure": [8, 13, 32, 33, 36, 37, 42, 43, 49, 65, 86, 88], "dynam": [114, 117], "dynamicmodulusrandomdesign": [94, 97], "dynamicprobabilityrandomdesign": [94, 98], "e": [0, 1, 2, 7, 12, 13, 15, 18, 21, 24, 27, 42, 46, 48, 57, 62, 64, 79, 81, 114, 115, 140], "e06ac3": 144, "e149e": 144, "e19804": 144, "e1dc2b": 131, "e4c3a3": 144, "e4deb": 144, "e501": [101, 102], "e50a55": 131, "e591ad": 144, "e5c425": 140, "e66a0": 131, "e6c407": 144, "e8a37c": 144, "e990dd": 144, "each": [0, 1, 7, 13, 14, 16, 19, 24, 29, 32, 35, 37, 42, 43, 46, 48, 57, 58, 60, 62, 64, 65, 68, 70, 78, 90, 91, 93, 94, 98, 99, 113, 114, 117, 121, 145], "earli": [2, 42, 49], "early_stop": 140, "easi": 3, "easieast": 134, "easiest": 20, "easili": [13, 121], "eb4be3": 144, "echo": [18, 120, 148], "ed19a5": 144, "ed629c": 144, "educ": 136, "eed864": 144, "effici": [2, 3, 12, 32, 34, 57, 58, 99, 113, 154], "eggensperg": 154, "ei": [24, 25, 27, 42, 44, 45, 47], "eight": 3, "eip": [24, 27, 101, 104], "either": [1, 3, 8, 42, 43, 68, 78, 99, 113, 114, 119], "elasticnet": 140, "element": [114, 119], "els": [18, 20, 132, 141, 145], "embed": [114, 115, 117], "emce": [68, 78], "emphas": 3, "empir": [13, 24, 29, 99, 113], "emploi": 7, "empti": [18, 57, 61, 64, 99, 113, 114, 115, 116, 117, 119, 120, 132], "enabl": [1, 18, 42, 44, 47, 86, 88, 99, 113], "encapsul": [114, 115], "encod": [3, 22, 42, 43, 44, 45, 47, 49], "encount": 132, "end": [13, 32, 33, 39, 40, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "end_modulu": [94, 97], "endeavor": [114, 115], "endtim": [13, 99, 100, 113], "enforc": [8, 121], "enough": [7, 42, 49, 114, 115], "ensur": [8, 11, 24, 29, 121], "enter": 0, "entri": [2, 3], "enumer": 144, "env": 18, "environ": [0, 1, 3, 4, 42, 43, 121, 131, 134, 135, 136, 139, 141, 145, 148], "environment": [42, 43, 65], "epm": 13, "epoch": [7, 14, 121, 142, 143, 151, 155], "eps_pur": [86, 88], "equal": [60, 99, 113], "equalscondit": [139, 145], "error": [8, 20, 21], "error_scor": [136, 139, 145], "essenti": [0, 39, 40], "estim": [72, 73, 86, 88, 101, 102], "et": [8, 24, 28, 29, 68, 78], "eta": [42, 46, 48, 57, 59, 60, 62, 139, 140, 141], "eta0": 140, "etc": [64, 72, 73, 121], "eval_gradi": [72, 73], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 61, 62, 64, 72, 73, 94, 95, 96, 97, 98, 99, 100, 113, 114, 119, 121, 131, 132, 133, 134, 139, 140, 144, 145], "even": [7, 9, 13, 16, 19, 21], "event": [57, 58, 61, 62], "eventu": [114, 115], "ever": [94, 97], "everi": [3, 13, 42, 43, 57, 58, 65, 94, 96, 97, 114, 115, 117, 119], "everyth": [20, 148], "everytim": [13, 18, 57, 58, 61, 120], "evolut": [13, 32, 34], "exact": [10, 42, 43, 65], "exactli": [15, 57, 61], "exampl": [3, 7, 8, 10, 13, 14, 15, 16, 17, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "examples_jupyt": 151, "examples_python": 151, "exce": 65, "exceed": [65, 132], "except": [18, 42, 43, 114, 116, 117, 136], "execut": [2, 8, 13, 18, 21, 42, 43, 48, 65, 99, 113, 114, 115, 116, 117, 119, 120, 138, 143, 147, 150, 152, 155], "exhaust": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "exist": [57, 61, 65, 99, 113, 132, 135], "exloit": [24, 27], "exp": 132, "expand": [16, 57, 58, 62, 121], "expect": [3, 8, 13, 24, 27, 42, 43, 44, 45, 47, 86, 88, 101, 104, 114, 115], "expens": [6, 7], "experi": [13, 20, 42, 47], "experiment": 6, "expert": 3, "explain": [3, 13], "explicitli": [42, 43, 114, 117, 132, 134], "exploit": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "explor": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "expon": [79, 84], "exponenti": [79, 80, 84], "export": 0, "ext": 20, "extend": 7, "extens": 7, "f": [24, 27, 30, 68, 70, 78, 79, 80, 81, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "f09c3b": [131, 135], "f1": [18, 144, 148], "f2": [18, 144, 148], "f3c025": 144, "f3c23b": 144, "f5d5f9": 144, "f6167b": 139, "f69e52": 144, "f72805": [131, 135], "f79367": 141, "f_": [24, 27, 30], "facad": [8, 10, 13, 14, 15, 20, 65, 121, 131, 132, 136, 139, 144, 145], "fact": [13, 57, 61], "factor": [24, 29, 94, 98], "factori": [13, 50, 53, 99, 100], "factorialinitialdesign": [50, 53], "fail": [57, 58, 114, 117, 118, 121], "falkner": [68, 70, 78, 80], "fall": 2, "fals": [8, 10, 20, 24, 27, 29, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 62, 65, 68, 72, 73, 74, 75, 76, 77, 78, 86, 88, 99, 113, 114, 117, 121, 125, 132, 133, 134, 135], "far": [13, 19, 24, 26, 27, 42, 46, 48, 57, 62, 65, 100, 134], "fashion": [42, 43, 65, 114, 115, 116, 117, 119], "fast": 21, "faster": 12, "fault": 0, "fe2841": 144, "featur": [8, 13, 16, 18, 42, 44, 47, 66, 67, 68, 69, 70, 78, 85, 86, 88, 101, 102, 120, 121, 123, 140], "fec302": 144, "feedback": 8, "feedstock": 1, "feel": 8, "fef2f4": 131, "feurer": 154, "few": [2, 7, 42, 49, 140], "fewer": 121, "ff3901": 144, "ff709c": 144, "fi": [18, 148], "fidel": [2, 3, 7, 13, 19, 22, 42, 43, 48, 57, 58, 60, 61, 62, 65, 99, 113, 121, 139, 140, 141], "fifo": [114, 115], "figur": [131, 139, 141, 144], "file": [2, 9, 10, 18, 22, 42, 43, 65, 99, 113, 121, 132, 135, 138, 143, 147, 150, 152, 155], "filenam": [18, 20, 57, 58, 65, 99, 113, 148], "fill": [42, 43, 57, 58, 62, 65, 116], "filterwarn": [136, 139, 140, 145], "final": [3, 94, 96], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 60, 64, 131, 132, 133, 134, 135, 141, 148], "finish": [10, 13, 21, 39, 40, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 139, 140, 141, 144], "first": [3, 8, 10, 13, 17, 18, 42, 43, 57, 58, 61, 62, 64, 72, 73, 99, 113, 114, 118, 119, 124, 132, 135, 144, 148], "firstruncrashedexcept": [114, 118], "fit": [3, 9, 24, 25, 66, 89], "five": [16, 42, 45, 47, 48, 50, 51, 139, 145], "fix": [72, 73], "flag": [8, 135], "flexibl": [2, 68, 70, 78, 80], "float": [3, 4, 18, 24, 26, 27, 28, 29, 30, 31, 32, 36, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "flow": 17, "fmin": [24, 25], "fold": [136, 139, 145], "folder": [0, 65], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 61, 62, 86, 88, 114, 115, 117, 120, 148, 154], "forc": [114, 117], "force_upd": [99, 113], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 66, 67, 86, 87, 88, 132, 136, 154], "forev": [57, 61], "forgotten": 21, "fork": 21, "form": [7, 18, 79, 81, 120], "format": [13, 20, 124], "formatt": 20, "forward": 13, "found": [7, 8, 10, 13, 24, 29, 42, 43, 57, 58, 61, 65, 94, 97, 131, 135, 141, 148, 154], "four": [3, 66, 67], "frac": [24, 27, 30], "fraction": [94, 97], "frame": 121, "framework": [2, 3, 7, 68, 70, 78, 80], "frank": [6, 154], "free": [7, 8, 9, 42, 46], "freeze_support": 21, "freiburg": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 34, 36, 42, 43, 49, 50, 51, 57, 58, 61, 62, 64, 65, 68, 70, 72, 73, 80, 99, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 149, 150, 151, 152, 155], "front": [15, 57, 58, 127, 144, 145], "frozen": 21, "full": [24, 25, 26, 27, 28, 29, 30, 31, 66, 67, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 70, 72, 73, 78, 99, 101, 102, 104, 113, 114, 115, 116, 117, 118, 119, 120, 121, 132, 133, 135, 136, 137, 138, 139, 140, 141, 145, 146, 147, 149, 150, 151, 155], "function_bas": 132, "function_sampl": [68, 70], "further": [18, 24, 28, 29, 50, 54, 56, 94, 97, 114, 115, 117, 118, 119, 120, 121], "furthermor": [1, 57, 58, 134], "futur": [57, 58, 114, 117], "g": [0, 2, 6, 7, 12, 13, 15, 18, 21, 140], "gain": 136, "galleri": 155, "gamma": [79, 81, 132], "gamma_valu": 132, "gammaprior": [79, 81], "gaussian": [3, 6, 7, 13, 42, 45, 66, 67, 68, 69, 70, 72, 73, 78, 80, 131], "gaussianprocess": [42, 45, 68, 70, 78], "gcc": 8, "gcc_linux": [0, 1], "gener": [0, 3, 7, 8, 10, 12, 13, 14, 35, 42, 43, 50, 54, 56, 57, 58, 90, 91, 114, 115, 116, 117, 121, 132, 153, 154], "geq": [24, 30], "get": [0, 1, 13, 32, 34, 38, 57, 58, 62, 72, 73, 114, 117, 125, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_": [42, 43], "get_acquisition_funct": [42, 43, 44, 45, 47, 49, 136], "get_acquisition_maxim": [42, 43, 44, 45, 47, 49], "get_callback": [57, 58], "get_conditional_hyperparamet": 123, "get_config": [13, 99, 113, 131, 141, 144, 145], "get_config_hash": 123, "get_config_id": [99, 113], "get_config_selector": [42, 43, 45], "get_configs_per_budget": [99, 113], "get_configur": [101, 102], "get_cost": [99, 113, 134], "get_default_configur": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_dictionari": [132, 134], "get_finish": [114, 115, 116, 117], "get_gradi": [79, 80, 84], "get_incumb": [15, 57, 58, 134, 135, 144], "get_incumbent_instance_seed_budget_kei": [57, 58], "get_incumbent_instance_seed_budget_key_differ": [57, 58], "get_initial_design": [42, 43, 44, 45, 47, 48, 49, 132, 136, 139, 145], "get_inst": 140, "get_instance_data": 140, "get_instance_featur": 140, "get_instance_seed_budget_kei": [57, 58, 62, 99, 100, 113], "get_instance_seed_kei": [99, 100], "get_instance_seed_keys_of_interest": [57, 58, 62], "get_intensifi": [42, 43, 44, 45, 46, 47, 48, 49, 133, 136, 141, 145], "get_kernel": [42, 45], "get_log_prob": [79, 80, 84], "get_logg": 125, "get_min_cost": [99, 113], "get_model": [42, 43, 44, 45, 47, 49], "get_multi_objective_algorithm": [42, 43, 44, 45, 47, 49, 144], "get_n_trials_for_hyperband_multifidel": [60, 141], "get_param": [72, 73, 74], "get_random_design": [42, 43, 44, 45, 47, 49], "get_rejected_config": [57, 58], "get_runhistory_encod": [42, 43, 44, 45, 47, 49], "get_running_config": [99, 113], "get_running_tri": [99, 113], "get_stat": [57, 58, 59, 61, 62], "get_trial": [42, 48, 99, 113], "get_trials_of_interest": [57, 58, 62], "get_typ": 123, "git": 1, "github": [1, 8, 50, 56, 127, 154], "githubusercont": 0, "give": [13, 17, 20, 22, 64, 121], "given": [7, 18, 24, 25, 26, 32, 36, 42, 48, 57, 58, 62, 66, 67, 94, 96, 98, 99, 101, 102, 113, 114, 115, 119, 120, 126, 127, 140], "global": [2, 7, 20, 32, 34, 57, 58], "go": [13, 21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "goal": 7, "good": [7, 139], "govern": 7, "gp": [7, 68, 78], "gracefulli": [39, 40, 135], "gradient": [32, 34, 72, 73, 79, 80, 84, 142, 143, 151, 155], "greater": [79, 81, 121], "greather": [79, 81, 121], "ground": [131, 141], "group": [42, 43, 57, 62, 65, 114, 115, 117, 119], "guarante": [13, 22, 99, 113], "guid": [8, 13], "guidelin": 154, "gxx_linux": [0, 1], "h": 154, "ha": [0, 1, 2, 19, 21, 32, 33, 42, 43, 50, 51, 57, 58, 62, 65, 72, 73, 100, 114, 115, 117, 119], "had": 140, "halv": [7, 14, 17, 42, 46, 48, 57, 60, 62, 139, 140, 141], "ham": [72, 74], "hammingkernel": [42, 45, 72, 74], "handl": [64, 99, 113, 114, 115, 117, 119, 120], "handler": 20, "hang": 21, "hannov": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "happen": [8, 13, 60], "hard": [57, 58], "has_condit": [72, 73, 74, 75, 76, 77], "has_config": [99, 113], "hash": [42, 43, 121, 123], "hasn": 8, "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 64, 65, 99, 100, 113, 114, 115, 116, 117, 119, 133, 136, 139, 140, 145], "haven": 1, "hb": [7, 141], "hbfacad": 3, "help": [8, 12], "helper": [94, 95], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 64, 131, 135, 136, 140, 141, 148, 154], "heurist": [32, 34], "hi": [79, 80, 84], "hidden_layer_s": [136, 139, 145], "hierarch": 2, "hierarchi": [72, 73], "high": [3, 12, 13, 21], "higher": [12, 13, 132], "highest": [13, 19, 42, 43, 46, 48, 57, 58, 62, 64, 65, 99, 113], "highest_budget": [42, 46, 48, 57, 62, 139], "highest_observed_budget": [42, 46, 48, 57, 59, 62], "highest_observed_budget_onli": [99, 113], "highli": 3, "highlight": [20, 145], "hint": 22, "histor": 121, "histori": [15, 19, 65], "hold": [13, 22, 24, 28, 42, 43, 57, 61, 65, 132], "home": [0, 132, 134], "hoo": 154, "hope": 9, "horizont": 3, "horsesho": [79, 82], "horseshoeprior": [79, 82], "host": 139, "hostedtoolcach": [132, 139], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 113, 114, 115, 117, 120, 124, 133, 139, 141, 144, 145, 148, 151], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 62, 64, 120, 144], "hp": [7, 13, 136], "hpbandster": [2, 8], "hpofacad": [3, 13, 131, 134, 135, 144, 145], "hssl22": [6, 24, 29], "html": [6, 50, 54, 56, 154], "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 90, 93, 127, 139, 154], "hundr": 35, "hutter": [6, 8, 68, 70, 78, 80, 154], "hvarfner": [6, 24, 29], "hybrid": 6, "hyperband": [3, 6, 7, 14, 42, 46, 48, 57, 60, 62, 139, 142, 143, 151, 155], "hyperband_info": 60, "hyperband_util": 141, "hyperbandfacad": [3, 42, 46, 49], "hypercub": [13, 50, 54], "hypermapp": 2, "hyperopt": 2, "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 85, 86, 88, 123, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148, 154], "hyperparameter1": [18, 120], "hyperparameter_length_scal": [72, 74], "hyperparameteroptimizationfacad": [3, 4, 42, 47, 48, 131, 132, 133, 134, 135, 136, 144, 145], "i": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 24, 29, 32, 33, 34, 39, 40, 42, 43, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 85, 86, 88, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "id": [16, 99, 100, 113], "idea": [3, 8, 13, 154], "identifi": [16, 121], "idiom": 21, "ids_config": [99, 113], "ignor": [18, 19, 42, 43, 57, 61, 64, 65, 72, 73, 131, 136, 139, 140, 141, 145], "illustr": [136, 139, 141], "imagin": 13, "immedi": 116, "implement": [2, 3, 8, 13, 24, 25, 32, 33, 36, 37, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 78, 79, 81, 83, 86, 88, 90, 93, 114, 115, 117, 139], "impli": [9, 139], "import": [3, 4, 8, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "importantli": [99, 113], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 101, 104], "imput": 123, "inact": [13, 42, 43, 123], "includ": [13, 21, 57, 58, 59, 61, 62, 65, 66, 67, 85, 136, 140, 154], "incondit": [132, 139, 145], "inconsist": [65, 131, 135, 141, 148], "incorpor": [13, 42, 43, 49, 57, 58, 66, 67, 68, 69, 70, 78, 86, 88, 99, 113, 121, 136], "increas": [42, 49, 94, 97], "increment": [99, 113], "incremental_update_cost": [99, 113], "incumb": [4, 7, 13, 15, 18, 19, 24, 27, 28, 30, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 100, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "incumbent2": 135, "incumbent_cost": [131, 132, 133, 135, 136, 139, 140, 141, 148], "incumbent_select": [42, 46, 48, 57, 59, 62, 139], "incumbents_chang": [57, 58], "index": 65, "indic": [42, 43, 94, 95, 97, 114, 118, 140, 145], "individu": [42, 46, 48, 57, 62, 99, 113], "inf": [19, 94, 97, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "inferior": [57, 58], "infin": [19, 132], "influenc": [13, 15, 141], "info": [13, 20, 39, 40, 42, 43, 60, 65, 99, 113, 114, 115, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 62, 65, 99, 100, 113, 114, 115, 117, 119, 120, 132], "inherit": [13, 72, 73], "initi": [3, 22, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 62, 64, 65, 94, 95, 96, 97, 98, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "initial_design": [42, 43, 44, 45, 46, 47, 48, 49, 132, 136, 139, 145], "initialdesign": [42, 43], "input": [0, 2, 7, 13, 24, 26, 42, 46, 48, 57, 60, 61, 62, 66, 67, 68, 70, 80, 85, 86, 88, 101, 105, 126, 133], "insid": [1, 13, 21, 134], "instal": 8, "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 85, 86, 88, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 133, 135, 136, 139, 140, 141, 145, 148], "instance_featur": [16, 18, 66, 67, 68, 69, 70, 78, 86, 88, 89, 120, 121, 123, 140], "instance_seed_budget_kei": [99, 113], "instance_seed_kei": [57, 58], "instance_seed_ord": [42, 46, 48, 57, 59, 62], "instanceseedbudgetkei": [57, 58, 62, 99, 100, 113, 127], "instanceseedkei": [57, 58, 99, 100], "instanti": [3, 7, 13, 42, 43, 45, 99, 100], "instantiat": [72, 73], "instantli": [114, 115, 116, 117], "instead": [3, 7, 15, 18, 20, 21, 64, 72, 73, 132, 134, 139, 141], "instruct": 1, "int": [3, 4, 24, 26, 32, 33, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "integ": [3, 94, 96, 97, 98, 125, 132, 136, 139, 145], "integr": [2, 13, 24, 28, 68, 78, 134, 136], "integratedacquisitionfunct": [24, 28], "intellig": 154, "intend": [114, 117], "intensif": [7, 13, 17, 39, 40, 57, 61, 139], "intensifi": [3, 12, 14, 15, 20, 22, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 65, 114, 115, 116, 117, 121, 133, 134, 135, 136, 139, 141, 144, 145], "intensifier_object": 139, "intenum": [99, 111], "interact": [3, 114, 115], "interest": [57, 58, 62], "interfac": [2, 3, 7, 15, 22, 133], "interleav": [32, 33, 35, 36, 42, 43, 44, 45, 47, 94, 95, 96, 97, 98], "intermedi": 17, "intern": [2, 14, 16, 42, 43, 50, 51, 57, 58, 59, 61, 62, 65, 66, 67, 68, 72, 73, 78, 79, 80, 84, 85, 90, 91, 93, 114, 115, 117, 119, 120, 121, 139], "interpret": [18, 42, 43], "interrupt": 10, "intersect": [57, 58], "interv": 133, "intiti": 64, "intuit": 136, "invalid": 132, "invers": [101, 106], "invit": 3, "involv": [11, 13, 64], "invscal": [139, 140, 145], "io": [50, 56], "ipynb": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "iri": [4, 132], "is_run": [114, 115, 116, 117], "isinst": 132, "isol": [114, 115], "issu": [8, 13, 32, 36, 42, 47, 154], "item": [13, 100, 131, 132, 139, 141], "iter": [7, 13, 19, 32, 33, 35, 36, 37, 39, 40, 42, 43, 45, 47, 57, 58, 61, 64, 90, 91, 93, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 124], "iter_result": [114, 115, 116, 117], "itertool": 140, "its": [7, 13, 16, 19, 21, 68, 72, 73, 78, 99, 113, 114, 115, 116, 117, 131, 132], "j": 6, "jamieson": 6, "jasper": [24, 28], "java": 8, "jdk": [90, 93], "jmlr": [6, 154], "jmlr22a": 154, "job": [21, 114, 117], "job_cl": 21, "job_class": 21, "journal": [32, 34, 154], "json": [99, 113], "judg": [2, 42, 43, 65], "jupyt": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "just": [13, 15, 21, 42, 49, 134], "k": [6, 13, 32, 34, 72, 73, 99, 113, 131, 141, 154], "k1": [72, 73], "k2": [72, 73], "k_gradient": [72, 73], "kakad": 6, "katharina": 154, "keep": [13, 15, 20, 21, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 86, 88, 114, 115, 116, 117, 119], "kei": [15, 18, 42, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 99, 100, 113, 127, 148], "kernel": [42, 45, 68, 69, 70, 78, 132], "klein": [68, 70, 78, 80], "know": [0, 1, 12, 72, 73, 131, 133, 141], "know06": [2, 6, 15], "knowl": 6, "knowledg": 136, "known": 7, "kraus": 6, "kwarg": [3, 24, 25, 39, 41, 50, 56, 72, 73, 86, 87, 101, 106, 110, 114, 119, 132], "l": [0, 6], "l1_ratio": 140, "label": [139, 144, 145], "landscap": 6, "languag": 2, "larg": [32, 34, 131], "larger": [32, 34], "last": [68, 78, 132, 135], "lastli": [57, 58], "latest": [8, 57, 58], "latin": [13, 50, 54], "latinhypercub": [50, 54], "latinhypercubeinitialdesign": [50, 54], "launch": [21, 114, 115, 116, 117], "layer": [136, 140, 142, 143, 151, 155], "lbfg": [139, 145], "lcb": [24, 26], "lead": [12, 13], "leaf": [42, 44, 47, 86, 88], "learn": [3, 24, 28, 136, 139, 154], "learning_r": [3, 139, 140, 145], "learning_rate_init": [136, 139, 145], "least": [7, 99, 113, 139], "leav": 136, "left": [10, 24, 27, 42, 43, 72, 73], "legal": 3, "legend": [139, 144, 145], "len": [99, 113, 139], "length": [42, 44, 45, 47, 49, 68, 72, 74, 78, 90, 92], "length_scal": [72, 74, 75, 76], "length_scale_bound": [72, 74, 75, 76], "less": 12, "let": [0, 1, 7, 13, 131, 132, 133, 134, 136, 139, 141, 145, 148], "level": [22, 42, 43, 124, 125], "levelnam": 20, "leyton": 154, "li": [6, 57, 58], "lib": [132, 139], "librari": 22, "like": [0, 1, 13, 18, 19, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 117, 119, 132, 134, 136], "likelihood": [68, 70], "limit": [3, 8, 13, 18, 21, 114, 115, 117, 119, 120], "lindauer": [6, 154], "line": [2, 6, 7, 21, 22, 132], "linear": 132, "linear_model": 140, "linearli": [101, 106, 108, 109, 110], "lineno": 20, "linestyl": 145, "link": 8, "linspac": [131, 141], "linux": [0, 1], "lion": 154, "list": [8, 12, 15, 18, 24, 25, 28, 32, 33, 35, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 126, 127, 131, 139, 140, 141, 145], "liter": [42, 43, 125], "literatur": 13, "ljdr18": [6, 42, 46], "lnprob": 80, "load": [57, 58, 65, 99, 113, 121, 132], "load_digit": [136, 139, 140, 145], "load_iri": [4, 132], "loc": [79, 81], "local": [3, 13, 21, 32, 36, 37, 42, 43, 44, 45, 47, 65, 114, 115, 117, 119], "local_search_iter": [32, 36, 42, 45, 47], "localandsortedrandomsearch": [24, 31, 32, 36, 42, 44, 45, 47], "localsearch": [32, 36, 37], "locat": [8, 24, 27], "log": [3, 13, 22, 24, 26, 27, 42, 43, 47, 68, 70, 79, 80, 83, 84, 86, 88, 101, 104, 107, 108, 132, 134, 136, 139, 140, 145], "log_i": [86, 88], "log_loss": 140, "logger": [20, 123, 125], "logger_nam": 125, "logging_level": [20, 42, 43, 44, 45, 46, 47, 48, 49, 134], "logic": [13, 57, 61], "logical_or": 140, "login": 21, "logist": [136, 139, 145], "lognormalprior": [79, 83], "long": 13, "longer": [12, 140], "look": [8, 10, 14, 17, 35, 42, 49], "loop": [13, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 134], "loss": [90, 91, 92, 93, 114, 119, 140], "lot": [13, 22, 140], "low": [2, 3, 12, 13, 42, 49], "lower": [12, 13, 24, 26, 57, 62, 64, 79, 84, 99, 101, 102, 113, 136], "lower_bound": [79, 84], "lower_budget_st": [101, 102, 104, 105, 107, 108, 109], "lowest": [24, 29, 42, 43, 57, 58, 61, 99, 113], "lr": [139, 145], "lr_init": [139, 145], "luigi": 6, "m": 6, "mac": [1, 8], "machin": [1, 4, 24, 28, 137, 138, 151, 154, 155], "made": 21, "mai": [8, 57, 58], "main": [13, 21, 32, 36, 42, 49, 57, 58, 114, 117, 134, 135, 154], "maintain": 8, "make": [7, 8, 12, 13, 15, 18, 24, 31, 57, 58, 61, 62, 68, 78, 94, 97, 114, 115, 116, 117, 121, 135, 136, 139, 140, 145], "make_serializ": 121, "manag": [114, 117, 121], "mani": [2, 3, 7, 12, 42, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 66, 85, 99, 100, 113, 141], "manner": [42, 43, 44, 45, 47, 49], "mansur": [68, 70, 78, 80], "manual": [42, 43, 114, 117, 136], "map": [72, 73, 99, 113], "margin": [24, 28, 66, 67, 68, 70, 85, 86, 88], "mariu": [6, 154], "mark": [18, 57, 58], "marker": [131, 139, 141, 144, 145], "markov": 7, "markow": [68, 78], "massiv": 2, "master": 0, "match": 18, "materi": 3, "matern": [42, 45, 72, 75], "maternkernel": [72, 75], "math": [24, 31, 80], "mathbb": [24, 27], "mathbf": [24, 26, 27, 30, 31], "mathcal": [24, 31], "mathemat": 13, "matplotlib": [131, 139, 141, 144, 145], "matrix": [16, 66, 67], "matthia": 154, "max": [3, 14, 17, 24, 27, 42, 47, 49, 57, 58, 61, 126, 132, 139, 140, 141, 145], "max_budget": [14, 60, 121, 139, 140, 141], "max_config_cal": [12, 13, 42, 44, 45, 47, 49, 57, 58, 61, 133, 136, 145], "max_depth": [42, 44, 47, 86, 88], "max_incumb": [42, 44, 45, 46, 47, 48, 49, 57, 58, 59, 61, 62], "max_it": [136, 139, 140, 145], "max_iter": 60, "max_nod": [86, 88], "max_prob": [94, 96], "max_ratio": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 148], "max_step": [32, 36, 37], "maxim": [3, 15, 22, 24, 25, 26, 31, 42, 43, 44, 45, 47, 49, 64], "maximum": [32, 36, 37, 42, 44, 45, 47, 49, 57, 58, 60, 61, 65, 86, 88, 94, 96, 97, 121, 132, 141], "mb": [121, 138, 143, 147, 150, 152, 155], "mcmc": [7, 42, 45, 68, 78], "mcmc_sampler": [68, 78], "mcmcgaussianprocess": [42, 45, 68, 78], "mean": [2, 4, 8, 13, 15, 16, 21, 42, 44, 45, 47, 49, 57, 61, 66, 67, 68, 70, 78, 79, 81, 83, 85, 86, 88, 90, 92, 99, 113, 121, 132, 136, 139, 140, 145], "meanaggregationstrategi": [42, 44, 45, 47, 49, 90, 92], "mechan": [7, 114, 115, 139, 154], "medium": 3, "mem": [138, 143, 147, 150, 152, 155], "member": [72, 73], "memori": [8, 42, 43, 65, 114, 115, 117, 119, 121], "memoryout": [101, 102], "mention": [13, 154], "merchant": 9, "messag": 20, "meta": [10, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 119, 120, 121, 131, 135, 141, 148], "metadatacallback": [39, 41], "method": [13, 15, 19, 24, 25, 32, 33, 34, 39, 40, 42, 43, 57, 58, 61, 62, 64, 66, 67, 72, 73, 74, 79, 80, 84, 86, 88, 114, 115, 116, 117, 119, 120, 136, 139, 140, 145], "metric": 7, "metric1": 144, "metric2": 144, "mf": 7, "mffacad": [3, 139, 140], "middl": [50, 53], "might": [0, 1, 12, 13, 17, 21, 57, 58, 61, 72, 73, 99, 113, 114, 115, 116, 117], "min": [17, 126, 139, 140, 141, 145], "min_budget": [14, 60, 121, 139, 140, 141], "min_cost": [99, 113], "min_prob": [94, 96], "min_samples_leaf": [42, 44, 47, 86, 88], "min_samples_split": [42, 44, 47, 86, 88], "min_trial": [13, 64], "mind": 21, "minim": [3, 19, 32, 37, 94, 96], "minimium": 133, "minimum": [7, 32, 34, 42, 44, 47, 60, 86, 88, 99, 113, 121, 131, 135, 141], "minut": [3, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "miro": 153, "miss": [3, 57, 58], "mix": 132, "mixin": [72, 73], "mlp": [136, 139, 140, 145], "mlpclassifi": [136, 139, 145], "mnt": 0, "mo": [57, 58], "mode": 7, "model": [3, 7, 8, 12, 15, 16, 21, 22, 24, 25, 28, 29, 32, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 64, 65, 101, 102, 114, 117, 121, 131, 132, 133, 134, 135, 136, 140, 141, 154], "model_select": [4, 132, 136, 139, 140, 145], "model_typ": [42, 45], "modifi": [9, 21], "modul": [3, 20, 21, 125], "modular": 3, "modulu": [13, 35, 94, 97], "modulus_incr": [94, 97], "modulusrandomdesign": [35, 94, 97], "mont": [7, 68, 78], "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 61, 114, 115, 117, 132, 144], "moreov": [13, 57, 58, 136], "most": [42, 43, 45, 47, 48, 50, 51, 99, 113, 132, 136, 139], "mostli": 13, "mount": 0, "mous": 3, "move": [94, 96, 99, 113], "mu": [24, 26, 30, 31, 136], "much": [65, 99, 100, 113, 114, 117, 139, 144], "multi": [2, 3, 7, 18, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 119, 120, 121, 136, 140, 141, 143, 144, 145, 155], "multi_object": 145, "multi_objective_algorithm": [15, 42, 43, 44, 45, 46, 47, 48, 49, 99, 101, 102, 113, 144, 145], "multidimension": 13, "multifidelityfacad": [3, 8, 13, 42, 48, 60, 139, 140, 141], "multilayerperceptron": 3, "multiobject": 6, "multiobjectivemodel": [66, 85], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 66, 85, 99, 113, 121, 136, 142, 143, 145, 151, 155], "multipli": [94, 98, 141], "multivari": [32, 34], "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 66, 67, 72, 73, 79, 80, 81, 84, 85, 90, 92, 114, 119, 120, 121, 139], "my": [42, 45, 47, 48, 50, 51], "myfloat": 3, "myint": 3, "mypi": [72, 73], "n": [0, 1, 6, 24, 25, 28, 31, 57, 61, 64, 68, 70, 78, 80, 114, 117, 124, 141, 144, 145, 152], "n_config": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 121, 132, 139, 145], "n_configs_in_stag": 60, "n_configs_per_hyperparamet": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 139], "n_configs_per_hyperparamt": [42, 45, 47, 48], "n_dim": [72, 73], "n_featur": [72, 73], "n_func": [68, 70], "n_layer": [136, 139, 145], "n_mcmc_walker": [68, 78], "n_neuron": [136, 139, 145], "n_point": [32, 33], "n_points_per_tre": [86, 88], "n_restart": [68, 70], "n_sampl": 80, "n_samples_i": [72, 73], "n_samples_x": [72, 73], "n_seed": [13, 42, 46, 48, 57, 58, 59, 62, 121], "n_split": [136, 139, 140, 145], "n_steps_plateau_walk": [32, 36, 37], "n_tree": [42, 44, 47, 86, 88], "n_trial": [3, 4, 17, 24, 29, 42, 45, 47, 48, 50, 51, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "n_worker": [3, 12, 21, 114, 117, 121, 139, 145], "name": [3, 10, 15, 16, 20, 24, 25, 26, 27, 28, 29, 30, 31, 42, 43, 65, 72, 73, 99, 101, 102, 113, 121, 125, 135], "nanmean": 132, "nardi": 6, "nativ": [13, 21, 57, 62], "natur": [32, 34], "ndarrai": [24, 25, 65, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 101, 102, 104, 105, 106, 107, 108, 109, 110, 123, 140], "necessari": 35, "need": [2, 3, 13, 16, 18, 21, 22, 32, 35, 36, 42, 43, 57, 58, 60, 61, 62, 72, 73, 99, 113, 114, 115, 116, 117, 132, 134, 140, 141], "neg": [24, 29], "neighbor": [32, 37], "neighbour": 13, "neither": [42, 49, 99, 113], "network": [3, 42, 43, 65, 114, 115, 117, 119, 136, 139], "neural": [3, 139], "neural_network": [136, 139, 145], "never": [3, 35], "nevertheless": [8, 114, 117], "new": [7, 8, 10, 13, 21, 35, 39, 40, 42, 49, 57, 58, 61, 62, 64, 99, 113, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "next": [13, 15, 17, 19, 39, 40, 42, 43, 57, 58, 59, 64, 65, 94, 95, 96, 97, 98, 114, 115, 117, 132, 133, 141], "next_config": 64, "next_iter": [32, 33, 94, 95, 96, 97, 98], "nip": [24, 28, 68, 70, 78, 80], "node": [21, 86, 88, 114, 117, 139], "nois": [42, 45], "noise_level": [72, 77], "noise_level_bound": [72, 77], "non": [8, 18, 24, 29, 72, 73, 149, 151], "none": [13, 24, 25, 29, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 139, 140, 141, 144, 145], "noqa": [101, 102], "nor": [42, 49, 99, 113], "normal": [13, 18, 24, 30, 68, 70, 78, 79, 83, 90, 91, 92, 93, 99, 113, 126, 136, 141], "normalfloathyperparamet": 136, "normalize_cost": [13, 126], "normalize_i": [68, 70, 78], "normalized_cost": 126, "normalizedkernelmixin": [72, 74], "notabl": [57, 58], "note": [3, 18, 19, 42, 43, 133], "notebook": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "notevaluatederror": 112, "noth": [42, 43, 132], "notic": [42, 48, 121, 144], "novel": [6, 7], "now": [1, 15, 131, 132, 133, 134, 135, 140, 141, 148], "np": [4, 19, 24, 25, 27, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 94, 97, 101, 102, 104, 121, 123, 131, 132, 136, 139, 140, 141, 144, 145], "nsga2": 127, "nu": [72, 75], "num_trial": [57, 58, 99, 113], "number": [2, 7, 12, 13, 14, 16, 19, 21, 24, 26, 28, 29, 32, 33, 34, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 90, 92, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 132, 136, 139, 140, 142, 143, 144, 145, 148, 151, 154, 155], "number_of_bracket": 60, "numer": 131, "numpi": [4, 72, 73, 131, 132, 136, 139, 140, 141, 144, 145], "nut": [68, 78], "o": [131, 141, 144], "obj1": 15, "obj2": 15, "object": [2, 3, 4, 7, 16, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145, 147, 148, 155], "objective_bound": [13, 99, 113], "objective_weight": [42, 44, 45, 47, 49, 90, 92, 144], "observ": [0, 7, 13, 24, 27, 42, 48, 57, 58, 99, 113, 123], "obtain": [10, 32, 37, 57, 58, 68, 70, 80], "obviou": 21, "obvious": 17, "occupi": 13, "off": [10, 13, 24, 26, 27, 42, 43], "offer": [2, 3, 15, 114, 115], "offici": 1, "often": [7, 8, 12, 13, 15, 16, 32, 34, 42, 49, 57, 58, 64, 133], "old": [10, 42, 43, 65, 135], "omit": [21, 99, 100], "on_ask_end": [39, 40], "on_ask_start": [39, 40], "on_end": [13, 39, 40], "on_iteration_end": [13, 39, 40], "on_iteration_start": [13, 39, 40], "on_next_configurations_end": [39, 40], "on_next_configurations_start": [39, 40], "on_start": [13, 39, 40, 41, 134], "on_tell_end": [39, 40, 134, 135], "on_tell_start": [39, 40], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 62, 136, 139, 145], "one": [2, 7, 8, 11, 12, 15, 18, 19, 21, 35, 42, 43, 49, 57, 58, 60, 61, 62, 68, 78, 99, 101, 106, 108, 109, 110, 113, 114, 115, 116, 117, 120, 121, 131, 133, 135, 136, 140, 141, 144, 145, 148], "ones": [42, 43, 65, 127, 145], "ongo": 8, "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 48, 50, 52, 57, 58, 61, 62, 64, 65, 66, 67, 72, 73, 85, 99, 101, 102, 113, 114, 116, 117, 121, 127, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "onlin": [7, 42, 46, 49], "open": 8, "openbox": 2, "opensourc": 9, "oper": [72, 73], "operate_on": [72, 73, 74, 75, 76, 77], "opinion": 136, "opportun": 17, "oppos": [32, 36], "opt": [72, 73, 132, 139], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 33, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 60, 65, 68, 70, 78, 80, 90, 91, 94, 97, 121, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 144, 145, 148, 149, 151, 154, 155], "optimizt": 136, "optimum": [13, 24, 29, 101, 102, 137, 138, 151, 155], "option": [15, 16, 18, 32, 36, 39, 40, 42, 43, 57, 58, 65, 72, 73, 99, 113, 114, 118, 120, 126, 134, 135], "optuna": 2, "orchestr": 21, "order": [32, 33, 42, 46, 48, 57, 62, 101, 102], "org": [6, 9, 50, 54, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "organ": [42, 43], "origin": [8, 15, 79, 80, 84, 126, 154], "other": [2, 13, 19, 24, 31, 42, 43, 57, 58, 65, 99, 113], "otherwis": [13, 21, 57, 58, 114, 117, 119, 121], "our": [8, 10, 14, 15, 17, 21, 132, 136, 139, 140, 145, 148, 154], "out": [57, 60, 62, 68, 78], "output": [2, 7, 18, 65, 66, 67, 68, 70, 78, 121], "output_directori": [3, 10, 121, 135], "over": [13, 24, 26, 28, 29, 32, 34, 57, 61, 66, 67, 68, 78, 85, 86, 88, 94, 97, 98, 99, 113, 116, 137, 138, 144, 151, 155], "overcom": 8, "overhead": [21, 32, 37], "overlap": [57, 58], "overrid": [72, 73, 131, 135, 141, 148], "overview": 20, "overwrit": [10, 13, 42, 43, 44, 45, 46, 47, 48, 49, 65, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "overwrite_existing_tri": [99, 113], "p": [24, 30, 79, 81], "packag": [8, 132, 139, 154], "page": [3, 20, 22, 154], "pai": 13, "pair": [13, 42, 46, 48, 57, 62, 99, 113, 145], "paper": [6, 24, 28, 154], "paragraph": 13, "parallel": [2, 12, 22, 114, 115, 116, 117, 121], "param": [72, 73], "paramet": [3, 10, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 132, 133, 136, 139, 140, 141, 148, 154], "parego": [2, 6, 13, 15, 90, 146, 147, 151, 155], "parent": [132, 139, 145], "pareto": [15, 57, 58, 127, 144, 145], "pareto_cost": 145, "pareto_costs_i": 145, "pareto_costs_x": 145, "part": [0, 20, 32, 33, 57, 58], "particular": 9, "pass": [3, 8, 13, 14, 15, 18, 20, 21, 42, 43, 57, 58, 86, 88, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 125, 126, 127, 131, 135, 136, 139, 140, 141, 145, 148], "path": [0, 3, 18, 20, 42, 43, 65, 99, 113, 121, 125], "patholog": [24, 29], "patienc": [114, 117], "pattern": [114, 117], "pca": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88], "pca_compon": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 89], "pdf": [6, 24, 28, 90, 93], "peak": 3, "penalti": 140, "pend": [114, 115, 116, 117], "per": [24, 27, 42, 45, 47, 48, 50, 51, 60, 86, 88, 99, 101, 104, 113, 133, 136, 141], "percentil": [101, 102], "perceptron": [136, 140, 142, 143, 151, 155], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 62, 65, 86, 88, 99, 113, 114, 115, 121, 125, 140, 154], "perhap": 139, "perspect": [114, 115], "phase": 21, "phi": [24, 30], "pi": [24, 30], "pibo": [24, 29], "pickl": [21, 114, 117], "picklabl": [99, 113], "pictur": 13, "piecewis": [24, 29], "pip": [0, 1], "pipelin": [3, 42, 43], "place": [72, 73, 136], "placehold": 139, "plai": 16, "plateau": [32, 36, 37], "pleas": [0, 1, 2, 3, 8, 9, 10, 13, 14, 17, 18, 21, 24, 31, 42, 49, 57, 58, 99, 113, 132, 134, 154], "plot": [15, 131, 139, 141, 144, 145], "plot_from_smac": 144, "plot_pareto": 145, "plot_trajectori": 139, "plt": [131, 139, 141, 144, 145], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 66, 67, 68, 70, 85, 86, 88, 144], "poli": 132, "pop": 132, "popen": [18, 120], "popul": [114, 115, 116, 117], "port": 139, "posit": [90, 93, 114, 115, 117, 119, 120], "posixpath": 121, "possibl": [2, 3, 13, 24, 29, 42, 43, 72, 73, 140], "post": [57, 62, 145], "posterior": [68, 70], "practic": [24, 28, 151], "pre": [2, 16], "precis": [114, 117], "predict": [3, 13, 32, 36, 66, 67, 85, 86, 88], "predict_margin": [66, 67, 85, 86, 88], "preds_as_arrai": 132, "prefer": 8, "prematur": [7, 10, 14], "prepar": [42, 43, 101, 102], "present": [24, 25], "prevent": [72, 73], "previou": [3, 10, 13, 32, 33, 36, 42, 43, 65, 99, 113, 131, 132, 135, 136, 141, 148], "previous_config": [32, 33], "price": [32, 34], "primarili": [72, 73], "print": [13, 18, 57, 60, 62, 65, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "print_config_chang": 123, "print_hyperband_summari": 60, "print_stat": 65, "print_summari": [60, 141], "print_track": [57, 62], "prior": [13, 24, 29, 72, 73, 74, 75, 76, 77, 137, 138, 151, 155], "prior_acqusition_funct": 136, "prior_floor": [24, 29], "prior_sampling_fract": [32, 36], "prioracquisitionfunct": [24, 29, 136], "priorit": 144, "probability_design": 35, "probabilityrandomdesign": [35, 42, 44, 45, 47, 94, 98], "probabl": [3, 13, 21, 24, 30, 42, 44, 45, 47, 79, 80, 84, 94, 96, 98], "problem": [2, 6, 7, 8, 42, 43, 114, 115, 117, 119, 120, 131, 133], "procedur": [114, 117], "proceed": 154, "process": [3, 6, 7, 8, 12, 13, 15, 17, 18, 19, 21, 32, 33, 36, 39, 40, 42, 43, 45, 57, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 114, 115, 117, 119, 120, 121, 131, 134, 139, 140], "produc": [21, 114, 115, 116, 117], "product": [72, 73], "productkernel": [72, 73], "program": [9, 21, 64], "promis": [42, 43, 49], "proper": 21, "properli": 116, "properti": [0, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "proport": [42, 46, 48, 57, 60, 62], "propos": [68, 78], "proven": 136, "provid": [2, 3, 8, 13, 17, 19, 35, 42, 43, 46, 48, 57, 58, 62, 66, 85, 114, 117, 151], "purpos": [9, 16], "py": [127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 155], "pymoo": 127, "pynish": [8, 21, 114, 119, 121], "pypi": 1, "pyplot": [131, 139, 141, 144, 145], "pyrfr": 8, "python": [0, 1, 2, 8, 18, 35, 68, 70, 78, 80, 114, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "python3": [1, 132, 139, 154], "qmc": [50, 54, 56], "quadrat": [135, 137, 138, 141, 151, 155], "quadraticfunct": [131, 135, 141], "qualiti": 7, "quasi": 13, "queri": [57, 62, 99, 113], "question": 8, "queu": [42, 48], "queue": [13, 57, 61], "r": [24, 27, 32, 34, 145], "race": [7, 42, 46, 49, 57, 58, 61, 139, 154], "race_against": [42, 45, 47], "rais": [8, 21, 101, 102, 136, 139, 145], "ram": [13, 42, 47], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 61, 62, 66, 67, 86, 87, 88, 89, 94, 95, 96, 97, 98, 121, 132, 136, 139, 145, 154], "random_design": [32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49], "random_forest": 132, "random_st": [4, 132, 136, 139, 140, 145], "randomdesign": [42, 43], "randomfacad": [3, 42, 46, 49], "randomforest": [42, 44, 47, 86, 88], "randominitialdesign": [42, 48, 50, 55], "randomli": [32, 36, 42, 43, 49], "randommodel": [42, 49, 66, 89], "randomsearch": [24, 31, 32, 38, 42, 49], "rang": [3, 90, 91, 92, 93, 132, 133, 136, 139, 140], "rate": [3, 136, 139], "rather": 80, "ratio": [32, 36, 42, 44, 47, 86, 88], "ratio_featur": [42, 44, 47, 86, 88], "raw": 0, "rbf": [72, 76, 132], "rbfkernel": [72, 76], "re": [99, 113], "reach": [19, 64, 94, 97, 135], "react": 22, "read": [1, 10, 22, 99, 113, 135], "readi": 21, "real": [14, 42, 43, 65, 114, 115, 117, 119, 120], "realli": [114, 115], "reason": [14, 72, 73, 121], "receiv": [9, 13, 15, 18, 64, 99, 113, 114, 117], "recent": 132, "recip": 15, "recogn": 13, "recommend": [1, 8, 12, 13, 18, 22], "recurs": [124, 132], "recursionerror": 132, "recursively_compare_dict": 124, "red": [131, 141, 144, 145], "redistribut": 9, "reduc": [32, 35, 37, 42, 44, 47, 66, 67, 68, 69, 70, 78, 86, 88, 114, 117, 139, 148], "refer": [7, 8, 13, 14, 42, 48, 50, 54, 56, 57, 58, 154], "regard": [42, 43, 65], "regardless": [42, 46, 48, 57, 62], "regist": [17, 65], "register_callback": 65, "regret": 6, "reimplement": 8, "reject": [42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148], "rel": 136, "relat": [72, 73], "releas": 8, "relev": [42, 43, 65], "relu": [136, 139, 145], "remain": [13, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "remaining_cputim": 65, "remaining_tri": 65, "remaining_walltim": 65, "remov": [8, 24, 29, 32, 36, 57, 61, 120, 144, 145], "renam": [10, 42, 43], "ren\u00e9": 154, "repeat": [13, 132], "replac": [42, 49, 57, 58, 114, 119, 139], "report": [8, 17], "repres": [114, 115, 117, 119, 120, 125, 140, 154], "represent": [101, 102], "reproduc": [8, 21, 22, 121], "request": [13, 135], "requeu": [57, 58], "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 62, 64, 86, 88, 99, 113, 114, 115, 119, 120, 121, 140], "required_argu": [114, 115, 116, 119, 120], "research": 154, "reset": [57, 58, 59, 61, 62, 65, 99, 113], "resolv": 8, "resourc": [0, 21, 114, 117, 119], "respect": [10, 72, 73, 79, 80, 84, 121], "respons": [13, 42, 43, 101, 102, 104, 106, 107, 108, 109, 110], "restart": [68, 70, 94, 96], "restart_iter": [94, 96], "restor": [10, 57, 58, 59, 61, 62], "restrict": 139, "result": [0, 2, 3, 10, 13, 17, 42, 43, 57, 58, 65, 114, 115, 116, 117, 119, 120, 121, 131, 132, 135, 139, 141, 148], "retrain": [12, 64], "retrain_aft": [12, 13, 42, 43, 45, 64], "retri": [42, 43, 45, 57, 61, 64], "retriev": [57, 58, 140], "return": [3, 4, 7, 13, 15, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "reveal": 3, "rf": [7, 24, 29], "rfacad": 3, "rho": [90, 93], "rid": [57, 62], "right": [15, 18, 24, 27, 72, 73], "roar": [7, 42, 46, 49], "robin": [42, 43, 65, 114, 115, 117, 119], "robo": [68, 70, 78, 80], "robust": [2, 68, 70, 78, 80], "role": 16, "root": [8, 20, 101, 110, 124], "rosenbrock": 133, "rosenbrock2d": [133, 134], "rostamizadeh": 6, "roughli": [42, 43, 65, 114, 115, 117, 119], "round": [42, 43, 46, 48, 57, 60, 62, 65, 114, 115, 117, 119, 141], "rtype": 123, "ruhkopf": 154, "run": [3, 7, 8, 10, 12, 13, 14, 15, 18, 19, 22, 39, 40, 42, 43, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 99, 113, 114, 115, 116, 117, 118, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "run_wrapp": [114, 115, 117], "runhistori": [3, 22, 39, 40, 42, 43, 44, 45, 47, 48, 49, 57, 58, 61, 62, 64, 65, 127, 131, 133, 134, 135, 141, 144, 145], "runhistory_encod": [42, 43, 44, 45, 46, 47, 48, 49], "runhistoryeipsencod": [101, 104], "runhistoryencod": [42, 43, 44, 45, 49, 101, 105, 106, 107, 108, 109, 110], "runhistoryinversescaledencod": [101, 106], "runhistorylogencod": [101, 107], "runhistorylogscaledencod": [42, 47, 101, 108], "runhistoryscaledencod": [101, 109], "runhistorysqrtscaledencod": [101, 110], "runinfo": [13, 114, 115, 117], "runner": [8, 13, 65, 132, 134], "runtim": [2, 18, 19, 21, 24, 27, 65, 101, 104, 114, 115, 117, 119, 120], "runtimeerror": [21, 112], "runtimewarn": 132, "runvalu": 13, "rval": 132, "sai": 7, "same": [8, 13, 42, 44, 45, 46, 47, 48, 49, 57, 61, 62, 90, 92, 99, 113, 126, 135], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 61, 62, 64, 66, 67, 68, 70, 78, 80, 85, 86, 88, 121], "sample_from_prior": 80, "sample_funct": [68, 70], "sampler": [68, 78], "saniti": 13, "sass": 154, "satisfi": [3, 13], "save": [3, 13, 42, 43, 57, 58, 65, 99, 113, 121], "scalar": [2, 13, 15, 42, 43, 80, 99, 113], "scale": [42, 47, 72, 74, 79, 80, 81, 82, 84, 101, 102, 106, 108, 109, 110, 132], "scale_percentag": [101, 102, 104, 105, 107, 108, 109], "scaral": [99, 113], "scatter": [42, 43, 65, 114, 115, 117, 119, 131, 139, 141, 144, 145], "scenario": [4, 10, 12, 14, 15, 16, 17, 18, 19, 21, 24, 29, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 64, 65, 90, 92, 93, 101, 102, 104, 105, 107, 108, 109, 114, 115, 116, 119, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "schaffer": [146, 147, 151, 155], "schedul": [21, 94, 96], "scheme": [32, 33, 114, 115], "scipi": [32, 34, 50, 54, 56], "score": [4, 132, 136, 139, 140, 145], "scrambl": [50, 56], "scratch": [99, 113], "screenshot": 8, "script": [18, 21, 42, 43, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 149, 150, 151, 155], "scrollabl": 3, "search": [3, 13, 24, 29, 32, 34, 36, 37, 42, 44, 45, 47, 49, 133], "second": [24, 27, 35, 101, 104, 114, 117, 119, 121, 124, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "section": 13, "see": [3, 7, 8, 9, 13, 14, 21, 24, 28, 29, 50, 54, 56, 57, 59, 99, 113, 144], "seed": [3, 4, 7, 8, 10, 13, 18, 19, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "seeger": 6, "seen": [24, 26], "segment": 0, "select": [7, 13, 42, 43, 46, 48, 49, 50, 51, 53, 57, 62, 64, 99, 113, 114, 115, 145], "select_configur": [50, 51], "selector": [22, 42, 43, 45, 57, 58, 64], "self": [3, 13, 32, 33, 57, 58, 66, 67, 68, 72, 73, 78, 79, 80, 84, 94, 96, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "semant": [32, 33, 99, 113], "semanticscholar": 6, "semicolon": 18, "separ": [18, 42, 43, 120], "sequenc": [13, 50, 56], "sequenti": [7, 8, 154], "serial": [42, 43, 65, 114, 115, 116, 117, 119], "serializ": 121, "serv": 133, "server": 139, "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 61, 62, 65, 94, 96, 98, 99, 113, 114, 119, 121, 125, 126, 132, 135, 136, 144, 145, 148], "set_stat": [57, 58, 59, 61, 62], "setup": [8, 10, 42, 43, 49, 65, 125, 141], "setup_log": 125, "sever": [2, 35, 39, 40, 151], "sgd": [136, 139, 140, 145], "sgdclassifi": 140, "sh": [18, 148], "shape": [72, 73, 79, 81], "share": [42, 43, 65, 114, 115, 117, 119], "shortli": 13, "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 61, 64, 65, 66, 72, 73, 85, 94, 95, 96, 97, 98, 121, 127, 131, 133], "show": [3, 8, 13, 15, 18, 20, 120, 131, 133, 139, 141, 144, 145, 148, 151], "shown": [144, 145], "shrink": 132, "shuffl": [42, 46, 48, 57, 58, 61, 62, 136, 139, 140, 145], "shuffle_onc": [42, 46, 48, 57, 59, 62], "shut": 135, "sigma": [24, 26, 30, 31, 79, 83, 136], "sigmoid": 132, "silent": 21, "similar": 136, "simpl": [3, 7, 13, 20, 32, 34, 132, 135, 144, 148], "simpli": [14, 15, 42, 49, 57, 62, 148], "simplifi": [114, 115], "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 139, 144, 145], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 66, 85, 86, 88, 90, 91, 92, 93, 99, 113, 114, 115, 116, 117, 120, 139, 141], "single_work": [114, 117], "site": [132, 139], "situat": [57, 58], "size": [7, 121, 124, 136, 139], "skew": 136, "skks10": [6, 24, 26], "sklearn": [4, 72, 73, 132, 136, 139, 140, 145], "slice": 132, "slightli": 8, "slower": 12, "slurm": 21, "slurmclust": 21, "smac": [0, 1, 2, 3, 4, 7, 8, 10, 12, 13, 15, 17, 18, 19, 20, 21, 22, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "smac2": [8, 86, 88, 135], "smac3": [0, 1, 8, 132, 134, 154], "smac3_output": 121, "small": [90, 93], "smaller": [3, 42, 48, 86, 88, 123], "smbo": [7, 13, 39, 40, 41, 42, 43, 90, 91, 93, 94, 95, 96, 97, 98, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "snoek": [24, 28, 68, 78], "so": [7, 10, 13, 19, 24, 26, 27, 42, 43, 46, 48, 57, 62, 65, 100, 114, 115, 116, 117, 134, 135, 136, 139], "sobol": [3, 13, 42, 45, 47, 50, 56], "sobolinitialdesign": [42, 45, 47, 50, 56], "soft": [79, 84], "softtophatprior": [79, 84], "softwar": [0, 9], "solid": [24, 29, 136], "solut": [7, 8, 32, 34, 38], "solv": 2, "solver": [136, 139, 145], "some": [3, 21, 22, 57, 61, 72, 73, 101, 102, 134], "someth": [3, 13, 18], "sometim": [20, 21], "sort": [3, 13, 32, 36, 42, 44, 45, 47, 57, 58, 99, 113, 127, 145], "sort_bi": [57, 58, 99, 113], "sort_by_crowding_dist": 127, "sorted_list": 127, "sourc": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "souza": 6, "space": [2, 13, 18, 24, 26, 27, 29, 32, 34, 42, 45, 47, 48, 49, 50, 51, 79, 80, 84, 120, 121, 131, 132, 136, 139, 140], "spawn": [21, 121], "speak": [42, 43, 65, 114, 115, 117, 119], "spearmint": [79, 82, 84], "speci": 3, "special": [57, 58], "specif": [3, 8, 12, 13, 15, 20, 24, 25, 42, 43, 57, 58, 72, 73, 86, 88, 101, 104, 140], "specifi": [3, 4, 10, 15, 17, 20, 21, 32, 33, 42, 43, 57, 58, 60, 62, 65, 66, 67, 68, 70, 72, 73, 79, 83, 121, 123, 131, 134, 135, 139, 142, 143, 148, 151, 155], "speed": 2, "spend": [13, 65], "split": [42, 44, 47, 86, 88, 136, 139, 140, 145], "sqrt": [24, 26, 144], "squar": [101, 110, 144], "sriniva": 6, "stabl": 8, "stage": [14, 39, 40, 57, 62, 134, 139, 140, 141], "standard": [18, 19, 24, 30, 66, 67, 79, 83, 136, 141], "start": [13, 17, 21, 22, 39, 40, 41, 42, 43, 57, 58, 68, 78, 90, 91, 93, 114, 117, 134, 139, 140, 141, 145], "start_modulu": [94, 97], "start_tim": 145, "starttim": [13, 99, 100, 113], "stat": [39, 40, 50, 54, 56, 65, 135], "state": [10, 13, 57, 58, 59, 61, 62, 90, 91, 93, 94, 96, 97, 98, 99, 101, 102, 113, 132], "statement": [72, 73], "static": [42, 43, 44, 45, 46, 47, 48, 49, 121], "stationarykernelmixin": [72, 74], "statist": [13, 65], "statu": [13, 18, 42, 43, 57, 58, 99, 100, 111, 113, 114, 115, 117, 119, 120], "statustyp": [18, 99, 100, 101, 102, 111, 113, 114, 115, 117, 119, 120], "std": [66, 67], "stdout": [18, 20], "step": [13, 32, 36, 37, 57, 62, 68, 78, 116, 145], "stick": 136, "still": [8, 10, 13, 15, 18, 21, 99, 113, 114, 115, 116, 117, 133], "stochast": [32, 34, 142, 143, 151, 155], "stoll": 6, "stop": [13, 22, 39, 40, 64, 121, 134, 135, 139, 145], "stop_aft": 135, "stopcallback": 135, "store": [65, 99, 113, 139], "storn": [32, 34], "str": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 45, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 132, 140, 144, 145], "straight": 13, "strategi": [2, 7, 15, 42, 43, 44, 45, 47, 49, 50, 51, 90, 91], "stratifiedkfold": [136, 139, 140, 145], "stream": 20, "streamhandl": 20, "strict": 1, "string": [18, 42, 43, 120, 124], "strongli": 22, "stuck": 13, "sub": [101, 102], "subclass": [32, 33, 42, 43, 72, 73], "submiss": [114, 115], "submit": [13, 99, 113, 114, 115, 116, 117], "submit_command": 21, "submit_run": [114, 115, 117], "submit_tri": [114, 115, 116, 117], "subobject": [72, 73], "subprocess": [21, 120], "subset": [7, 14, 16, 99, 113, 121, 140], "subsystem": [0, 1], "subtract": [65, 132], "succes": [57, 62], "success": [0, 7, 14, 17, 18, 42, 46, 48, 57, 60, 62, 99, 100, 101, 102, 113, 120, 139, 140, 141], "successive_halv": [139, 140, 141], "successivehalv": [3, 57, 59, 62, 139], "sudo": 0, "suffici": [57, 58], "suggest": [0, 1, 114, 118], "suit": [42, 43], "sum": [72, 73, 99, 113], "sum_cost": [99, 113], "sumkernel": [72, 73], "summari": 60, "super": [72, 73], "superclass": [72, 73], "superior": 7, "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 61, 62, 72, 73, 137, 138, 151, 155], "sure": [8, 13, 15, 18, 68, 78, 94, 97, 114, 115, 117, 118, 135], "surrog": [3, 15, 16, 21, 22, 24, 25, 29, 39, 40, 42, 43, 44, 45, 47, 49, 64, 66, 67, 85, 101, 102, 121, 131, 132], "svc": [4, 132], "svm": [4, 132], "swig": [0, 1], "sy": 20, "system": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 72, 73, 135], "ta": 65, "tabl": [2, 3, 20], "take": [3, 8, 12, 13, 17, 42, 43, 66, 67, 86, 88, 114, 117, 139], "taken": [13, 32, 36, 101, 102, 127], "talwalkar": 6, "tanh": [136, 139, 145], "target": [4, 7, 8, 12, 14, 15, 21, 22, 42, 43, 65, 66, 67, 86, 88, 99, 113, 114, 115, 117, 118, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 149, 150, 151, 155], "target_funct": [3, 18, 42, 43, 44, 45, 46, 47, 48, 49, 114, 119, 120, 132, 144], "target_function_runn": [132, 145], "target_nam": 140, "targetalgorithmabortexcept": [114, 118], "targetfunctionrunn": [114, 119], "targetfunctionscriptrunn": [42, 43, 120], "task": [114, 116, 117, 121, 136], "techniqu": [13, 32, 34], "tell": [3, 13, 22, 42, 43, 57, 62, 65, 137, 138, 151, 155], "temporarili": 2, "term": [9, 141], "termin": [22, 32, 36, 37, 114, 117], "termination_cost_threshold": [19, 121], "test": [0, 1, 18, 66, 67, 68, 70, 99, 113, 120, 154], "text": [24, 26], "th": [94, 95, 96, 97, 98], "than": [7, 12, 32, 34, 42, 48, 49, 57, 58, 61, 65, 79, 80, 81, 86, 88, 121, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "thei": [3, 13, 17, 57, 61, 64], "them": [7, 13, 101, 106, 108, 109, 110, 114, 117, 139, 145], "theoret": [99, 113], "therebi": [7, 14], "therefor": [1, 3, 7, 13, 42, 49, 72, 73, 121, 139, 145], "theta": [79, 80, 84], "thi": [0, 1, 2, 3, 8, 9, 13, 15, 16, 20, 21, 22, 24, 25, 32, 33, 36, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 86, 88, 94, 95, 97, 99, 100, 113, 114, 115, 116, 117, 118, 119, 121, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "thing": 22, "thompson": [13, 24], "those": [10, 16], "thread": [12, 13, 21, 57, 58], "three": 64, "threshold": [22, 121], "throughout": 13, "thu": [8, 16, 136], "tim": 154, "time": [3, 8, 11, 12, 13, 17, 19, 35, 42, 43, 49, 57, 58, 65, 94, 97, 98, 99, 100, 113, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "timeout": 13, "titl": [139, 144, 145, 154], "togeth": [21, 24, 31, 42, 49, 57, 62], "toi": 133, "tolist": 145, "too": [131, 141], "took": [114, 115, 117, 119, 120], "tool": [2, 8, 154], "top": [42, 43], "tophat": [79, 84], "tophatprior": [79, 84], "total": [60, 86, 88, 114, 117, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 147, 148, 150, 151, 152, 155], "total_budget": [60, 141], "toward": 136, "traceback": 132, "track": [13, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62], "tracker": [8, 13, 57, 59, 62], "trade": [13, 24, 26, 27, 42, 43], "tradeoff": [24, 26], "trail_walltime_limit": 21, "train": [3, 4, 7, 13, 15, 16, 21, 39, 40, 42, 43, 47, 57, 58, 64, 66, 67, 68, 69, 70, 78, 86, 88, 101, 102, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "trajectori": [57, 58, 100, 139], "trajectoryitem": [57, 58, 100], "transform": [7, 13, 42, 43, 80, 86, 88, 90, 91, 92, 93, 101, 102, 104, 106, 107, 108, 109, 110, 140], "transform_response_valu": [101, 102, 104, 105, 106, 107, 108, 109, 110], "transformed_valu": [101, 102], "translat": [114, 115], "treat": 132, "tree": [42, 44, 47, 86, 88], "tri": 3, "trial": [3, 7, 13, 17, 19, 21, 39, 40, 42, 43, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "trial_info": [13, 114, 115, 116, 117], "trial_memory_limit": [21, 121], "trial_valu": 13, "trial_walltime_limit": 121, "trialinfo": [42, 43, 57, 58, 61, 62, 65, 99, 100, 113, 114, 115, 116, 117, 134, 135], "trialkei": [99, 100, 113], "trials_count": 134, "trials_us": 60, "trialvalu": [42, 43, 65, 99, 100, 113, 114, 115, 116, 117, 133, 134, 135], "trigger": [24, 29, 114, 118, 134], "true": [4, 10, 42, 43, 44, 47, 48, 60, 65, 68, 70, 72, 73, 78, 86, 88, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "trust": 7, "truth": [131, 141], "try": [3, 8, 42, 47, 140], "tunabl": 3, "tune": [3, 32, 37, 68, 78, 136], "tupl": [66, 67, 72, 73, 85, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 123, 126, 140, 144], "twice": [13, 144], "two": [3, 13, 64, 86, 88, 123, 140, 145, 154], "txt": 0, "type": [18, 24, 25, 26, 27, 28, 32, 33, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 79, 80, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 136, 139, 140, 141, 144], "typeerror": [101, 102], "typic": [2, 141], "u": [0, 1, 8], "ubuntu": 0, "uk": [90, 93], "ukci": [90, 93], "un": 13, "uncertainti": [86, 88], "under": [0, 1, 9], "underli": [12, 16], "understand": 3, "uniform": [3, 32, 36, 136], "uniform_configspac": [32, 36], "uniformintegerhyperparamet": 136, "uniformli": [7, 42, 49], "unit": [60, 68, 70, 78, 136, 141], "unpromis": [42, 49], "unsuit": 2, "until": [13, 114, 115, 116, 117, 135], "up": [2, 13, 57, 62, 64, 99, 113, 125, 131, 141], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 65, 90, 91, 93, 99, 113, 135], "update_acquisition_funct": 65, "update_cost": [99, 113], "update_from_json": [99, 113], "update_incumb": [57, 58, 62], "update_model": 65, "update_on_iteration_start": [13, 90, 91, 93], "upon": [42, 43, 114, 117], "upper": [79, 84, 99, 113, 136], "upper_bound": [79, 84], "url": 154, "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 84, 85, 86, 88, 94, 96, 97, 98, 99, 100, 101, 102, 106, 107, 108, 110, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 131, 132, 133, 134, 135, 136, 140, 141, 142, 143, 144, 145, 148, 149, 151, 154, 155], "use_batch_s": [139, 145], "use_coef": 132, "use_default_config": 121, "use_degre": 132, "use_gamma": 132, "use_gamma_valu": 132, "use_lr": [139, 145], "use_lr_init": [139, 145], "used_target_function_walltim": 65, "used_walltim": [57, 58, 65], "user": [0, 6, 10, 12, 13, 17, 18, 19, 20, 24, 29, 32, 36, 42, 43, 46, 48, 57, 61, 62, 65, 114, 115, 117, 119, 137, 138, 151, 155], "userwarn": 139, "uses_budget": [13, 57, 58, 61, 62], "uses_inst": [13, 57, 58, 61, 62], "uses_se": [13, 57, 58, 61, 62], "usr": 18, "usual": [7, 114, 118], "v": [18, 99, 113, 114, 117, 131, 140, 141, 148], "v1": [2, 18], "v18": 6, "v2": [2, 8, 17, 18], "v23": 154, "valid": [2, 3, 7, 42, 43, 57, 58, 62, 65, 66, 67, 121, 131, 133, 135, 136, 137, 138, 139, 140, 141, 144, 145, 148, 151, 155], "valu": [3, 13, 14, 15, 18, 19, 24, 25, 26, 27, 28, 29, 31, 39, 40, 42, 43, 49, 65, 66, 67, 68, 70, 72, 73, 78, 80, 86, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 123, 126, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "vanilla": [42, 45], "var": [66, 67, 85, 86, 88, 121, 140], "variabl": [0, 3, 18, 57, 58, 59, 61, 62, 65, 121, 136, 139, 145], "varianc": [13, 66, 67, 68, 70, 78, 85, 86, 88, 140], "varieti": 151, "variou": [3, 42, 43], "vector": [4, 32, 37, 101, 102, 137, 138, 151, 155], "vectorization_max_obtain": [32, 37], "vectorization_min_obtain": [32, 37], "veri": [42, 43, 49, 57, 58, 65, 114, 115, 117, 119], "versatil": 154, "version": [0, 1, 3, 8, 13, 19, 20, 32, 36], "very_small_numb": 132, "via": [13, 15, 21, 32, 34, 36, 38, 114, 115, 117, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "virtu": 139, "visit": 154, "volum": 154, "vstack": 145, "wa": [0, 10, 13, 19, 24, 25, 57, 62, 64, 65, 99, 113, 114, 117, 135], "wai": [3, 20, 57, 58, 134], "wait": [13, 57, 58, 114, 115, 116, 117], "walk": [32, 36, 37], "walker": [68, 78], "wall": [114, 119], "wallclock": [11, 13, 17, 19, 57, 58, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "walltim": [65, 100, 139], "walltime_limit": [3, 121, 139, 140, 145], "want": [3, 7, 8, 10, 13, 15, 16, 20, 22, 24, 31, 42, 49, 132, 135, 136, 139, 140, 141, 145, 149, 151, 154], "warm": [42, 43], "warn": [20, 99, 113, 132, 136, 139, 140, 145], "warranti": 9, "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 62, 64, 65, 68, 78, 80, 114, 115, 117, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151, 154], "weight": [7, 13, 24, 29, 32, 36, 42, 44, 45, 47, 49, 90, 92, 99, 113, 136, 146, 147, 151, 155], "well": [2, 13, 17, 24, 29, 114, 115, 132, 133, 136], "were": [13, 57, 58, 151], "what": [3, 8, 66, 67, 114, 115, 117], "when": [7, 13, 14, 17, 21, 42, 43, 44, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 86, 88, 114, 115, 117, 119, 121, 125, 139], "whenev": 80, "where": [3, 7, 8, 10, 13, 24, 25, 29, 32, 36, 42, 49, 140, 145], "wherea": 14, "whether": [10, 13, 24, 27, 29, 42, 43, 57, 58, 65, 72, 73, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 135], "which": [3, 7, 8, 13, 15, 18, 20, 21, 24, 25, 35, 42, 43, 44, 45, 49, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 89, 94, 96, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 127, 132, 133, 136, 139, 140, 154], "while": [13, 57, 58, 61, 62, 132], "white": [18, 42, 45, 72, 77, 120], "whitekernel": [72, 77], "whole": [66, 67], "why": [8, 14], "wide": [132, 136], "wider": 136, "wih": 18, "within": [2, 64, 114, 117], "without": [3, 9, 24, 27, 35], "wlog": 140, "won": [72, 73], "word": [7, 13, 19], "work": [0, 1, 7, 8, 13, 14, 16, 21, 22, 114, 117, 131, 132, 134, 145], "worker": [3, 11, 12, 13, 21, 114, 115, 116, 117, 121, 139], "workflow": 0, "workshop": [68, 70, 78, 80], "world": 14, "worri": 3, "worth": 13, "would": [0, 1, 3, 13, 42, 43, 65, 114, 115, 117, 119, 141], "wrap": [114, 117], "wrapper": [13, 66, 85, 114, 115, 116, 117], "written": [1, 57, 58, 154], "wrt": [99, 113], "www": [6, 90, 93], "x": [16, 24, 25, 26, 27, 30, 31, 66, 67, 68, 69, 70, 72, 73, 78, 79, 81, 85, 86, 88, 101, 102, 123, 131, 133, 135, 139, 141, 144, 145], "x0": [133, 134, 148], "x1": [133, 134], "x2": [133, 134], "x64": [132, 139], "x86_64": 0, "x_i": 133, "x_test": [68, 70], "xarg": 0, "xi": [24, 27, 30, 31, 42, 44, 45, 47, 131, 141], "xlabel": [139, 144, 145], "y": [66, 67, 72, 73, 86, 88, 101, 102, 123, 131, 135, 139, 141], "yaml": [20, 42, 43], "year": 154, "yet": [1, 8, 57, 62, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "yield": [13, 57, 62, 64], "ylabel": [139, 144, 145], "ylim": 139, "yml": [42, 43], "you": [0, 1, 2, 3, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 20, 21, 22, 42, 43, 47, 49, 68, 78, 114, 117, 121, 132, 134, 136, 139, 141, 144, 149, 151, 154], "your": [0, 1, 2, 3, 7, 8, 15, 16, 18, 20, 21, 22, 42, 43, 65, 114, 115, 117, 119, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "your_output_directori": 3, "zero": [68, 70, 78, 101, 106, 108, 109, 110, 133], "zip": 151, "zorder": [131, 141, 144], "\u03b8": [42, 49], "\u03c0bo": 6}, "titles": ["Experimental", "Installation", "Package Overview", "Getting Started", "Minimal Example", "API References", "References", "Glossary", "F.A.Q.", "License", "Continue", "Reproducibility", "Optimizations", "Components", "Multi-Fidelity Optimization", "Multi-Objective Optimization", "Optimization across Instances", "Ask-and-Tell Interface", "Command-Line Interface", "Stopping Criteria", "Logging", "Parallelism", "Advanced Usage", "smac.acquisition", "smac.acquisition.function", "smac.acquisition.function.abstract_acquisition_function", "smac.acquisition.function.confidence_bound", "smac.acquisition.function.expected_improvement", "smac.acquisition.function.integrated_acquisition_function", "smac.acquisition.function.prior_acqusition_function", "smac.acquisition.function.probability_improvement", "smac.acquisition.function.thompson", "smac.acquisition.maximizer", "smac.acquisition.maximizer.abstract_acqusition_maximizer", "smac.acquisition.maximizer.differential_evolution", "smac.acquisition.maximizer.helpers", "smac.acquisition.maximizer.local_and_random_search", "smac.acquisition.maximizer.local_search", "smac.acquisition.maximizer.random_search", "smac.callback", "smac.callback.callback", "smac.callback.metadata_callback", "smac.facade", "smac.facade.abstract_facade", "smac.facade.algorithm_configuration_facade", "smac.facade.blackbox_facade", "smac.facade.hyperband_facade", "smac.facade.hyperparameter_optimization_facade", "smac.facade.multi_fidelity_facade", "smac.facade.random_facade", "smac.initial_design", "smac.initial_design.abstract_initial_design", "smac.initial_design.default_design", "smac.initial_design.factorial_design", "smac.initial_design.latin_hypercube_design", "smac.initial_design.random_design", "smac.initial_design.sobol_design", "smac.intensifier", "smac.intensifier.abstract_intensifier", "smac.intensifier.hyperband", "smac.intensifier.hyperband_utils", "smac.intensifier.intensifier", "smac.intensifier.successive_halving", "smac.main", "smac.main.config_selector", "smac.main.smbo", "smac.model", "smac.model.abstract_model", "smac.model.gaussian_process", "smac.model.gaussian_process.abstract_gaussian_process", "smac.model.gaussian_process.gaussian_process", "smac.model.gaussian_process.gpytorch_gaussian_process", "smac.model.gaussian_process.kernels", "smac.model.gaussian_process.kernels.base_kernels", "smac.model.gaussian_process.kernels.hamming_kernel", "smac.model.gaussian_process.kernels.matern_kernel", "smac.model.gaussian_process.kernels.rbf_kernel", "smac.model.gaussian_process.kernels.white_kernel", "smac.model.gaussian_process.mcmc_gaussian_process", "smac.model.gaussian_process.priors", "smac.model.gaussian_process.priors.abstract_prior", "smac.model.gaussian_process.priors.gamma_prior", "smac.model.gaussian_process.priors.horseshoe_prior", "smac.model.gaussian_process.priors.log_normal_prior", "smac.model.gaussian_process.priors.tophat_prior", "smac.model.multi_objective_model", "smac.model.random_forest", "smac.model.random_forest.abstract_random_forest", "smac.model.random_forest.random_forest", "smac.model.random_model", "smac.multi_objective", "smac.multi_objective.abstract_multi_objective_algorithm", "smac.multi_objective.aggregation_strategy", "smac.multi_objective.parego", "smac.random_design", "smac.random_design.abstract_random_design", "smac.random_design.annealing_design", "smac.random_design.modulus_design", "smac.random_design.probability_design", "smac.runhistory", "smac.runhistory.dataclasses", "smac.runhistory.encoder", "smac.runhistory.encoder.abstract_encoder", "smac.runhistory.encoder.boing_encoder", "smac.runhistory.encoder.eips_encoder", "smac.runhistory.encoder.encoder", "smac.runhistory.encoder.inverse_scaled_encoder", "smac.runhistory.encoder.log_encoder", "smac.runhistory.encoder.log_scaled_encoder", "smac.runhistory.encoder.scaled_encoder", "smac.runhistory.encoder.sqrt_scaled_encoder", "smac.runhistory.enumerations", "smac.runhistory.errors", "smac.runhistory.runhistory", "smac.runner", "smac.runner.abstract_runner", "smac.runner.abstract_serial_runner", "smac.runner.dask_runner", "smac.runner.exceptions", "smac.runner.target_function_runner", "smac.runner.target_function_script_runner", "smac.scenario", "smac.utils", "smac.utils.configspace", "smac.utils.data_structures", "smac.utils.logging", "smac.utils.multi_objective", "smac.utils.pareto_front", "smac.utils.subspaces", "smac.utils.subspaces.boing_subspace", "smac.utils.subspaces.turbo_subspace", "Quadratic Function", "Support Vector Machine with Cross-Validation", "Ask-and-Tell", "Custom Callback", "Continue an Optimization", "User Priors over the Optimum", "Basics", "Computation times", "Multi-Layer Perceptron Using Multiple Epochs", "Stochastic Gradient Descent On Multiple Datasets", "Specify Number of Trials via a Total Budget in Hyperband", "Multi-Fidelity and Multi-Instances", "Computation times", "2D Schaffer Function with Objective Weights", "ParEGO", "Multi-Objective", "Computation times", "Call Target Function From Script", "Command-Line Interface", "Computation times", "Examples", "Computation times", "Overview Figure", "Home", "Computation times"], "titleterms": {"2d": 144, "A": 8, "On": 140, "abstract_acquisition_funct": 25, "abstract_acqusition_maxim": 33, "abstract_encod": 102, "abstract_facad": 43, "abstract_gaussian_process": 69, "abstract_initial_design": 51, "abstract_intensifi": 58, "abstract_model": 67, "abstract_multi_objective_algorithm": 91, "abstract_prior": 80, "abstract_random_design": 95, "abstract_random_forest": 87, "abstract_runn": 115, "abstract_serial_runn": 116, "acquisit": [13, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], "across": 16, "advanc": 22, "aggregation_strategi": 92, "algorithm": 13, "algorithm_configuration_facad": 44, "an": 135, "anaconda": 1, "annealing_design": 96, "api": 5, "ask": [17, 133], "automat": 19, "base_kernel": 73, "basic": [137, 151], "blackbox_facad": 45, "boing_encod": 103, "boing_subspac": 129, "budget": 141, "call": [18, 148], "callback": [13, 39, 40, 41, 134], "class": [25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 64, 65, 67, 69, 70, 73, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 88, 89, 91, 92, 93, 95, 96, 97, 98, 100, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 115, 116, 117, 119, 120, 121], "cluster": 21, "command": [18, 149, 151], "comparison": 2, "compon": 13, "comput": [138, 143, 147, 150, 152, 155], "conda": 1, "confidence_bound": 26, "config_selector": 64, "configspac": 123, "configur": [3, 13], "contact": 154, "continu": [10, 135], "cost": 19, "criteria": 19, "cross": 132, "custom": [20, 134], "dask_runn": 117, "data_structur": 124, "dataclass": 100, "dataset": 140, "default_design": 52, "descent": 140, "design": 13, "differential_evolut": 34, "eips_encod": 104, "encod": [13, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], "enumer": 111, "epoch": 139, "error": 112, "exampl": [4, 151], "except": [112, 118], "expected_improv": 27, "experiment": [0, 1], "f": 8, "facad": [3, 42, 43, 44, 45, 46, 47, 48, 49], "factorial_design": 53, "featur": 2, "fidel": [14, 142, 151], "figur": 153, "file": 20, "forg": 1, "from": 148, "function": [3, 13, 18, 24, 25, 26, 27, 28, 29, 30, 31, 60, 123, 124, 125, 126, 127, 131, 144, 148], "gamma_prior": 81, "gaussian_process": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], "get": 3, "glossari": 7, "gpytorch_gaussian_process": 71, "gradient": 140, "hamming_kernel": 74, "helper": 35, "home": 154, "horseshoe_prior": 82, "hyperband": [59, 141], "hyperband_facad": 46, "hyperband_util": 60, "hyperparameter_optimization_facad": 47, "initi": 13, "initial_design": [50, 51, 52, 53, 54, 55, 56], "instal": [0, 1], "instanc": [16, 142, 151], "integrated_acquisition_funct": 28, "intensifi": [13, 57, 58, 59, 60, 61, 62], "interfac": [17, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 149, 151], "inverse_scaled_encod": 106, "kernel": [72, 73, 74, 75, 76, 77], "latin_hypercube_design": 54, "layer": 139, "level": 20, "licens": 9, "line": [18, 149, 151], "local_and_random_search": 36, "local_search": 37, "log": [20, 125], "log_encod": 107, "log_normal_prior": 83, "log_scaled_encod": 108, "machin": 132, "main": [63, 64, 65], "matern_kernel": 75, "maxim": [13, 32, 33, 34, 35, 36, 37, 38], "mcmc_gaussian_process": 78, "metadata_callback": 41, "minim": 4, "model": [13, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89], "modul": [23, 24, 32, 39, 42, 50, 57, 63, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 122, 128], "modulus_design": 97, "multi": [13, 14, 15, 139, 142, 146, 151], "multi_fidelity_facad": 48, "multi_object": [90, 91, 92, 93, 126], "multi_objective_model": 85, "multipl": [139, 140], "navig": 22, "number": 141, "object": [13, 15, 144, 146, 151], "optim": [12, 14, 15, 16, 18, 135], "optimum": 136, "over": 136, "overview": [2, 153], "packag": 2, "parallel": 21, "parego": [93, 145], "pareto_front": 127, "perceptron": 139, "prior": [79, 80, 81, 82, 83, 84, 136], "prior_acqusition_funct": 29, "probability_design": 98, "probability_improv": 30, "q": 8, "quadrat": 131, "random": 13, "random_design": [55, 94, 95, 96, 97, 98], "random_facad": 49, "random_forest": [86, 87, 88], "random_model": 89, "random_search": 38, "rbf_kernel": 76, "refer": [5, 6], "reproduc": 11, "requir": 1, "return": 18, "run": 21, "runhistori": [13, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113], "runner": [114, 115, 116, 117, 118, 119, 120], "scaled_encod": 109, "scenario": [3, 121], "schaffer": 144, "script": 148, "selector": 13, "smac": [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], "smbo": 65, "sobol_design": 56, "space": 3, "specifi": 141, "sqrt_scaled_encod": 110, "start": [3, 18], "stochast": 140, "stop": 19, "subspac": [128, 129, 130], "successive_halv": 62, "support": 132, "surrog": 13, "target": [3, 18, 148], "target_function_runn": 119, "target_function_script_runn": 120, "tell": [17, 133], "termin": 19, "thompson": 31, "threshold": 19, "time": [138, 143, 147, 150, 152, 155], "tophat_prior": 84, "total": 141, "trial": 141, "turbo_subspac": 130, "us": 139, "usag": 22, "user": 136, "util": [122, 123, 124, 125, 126, 127, 128, 129, 130], "valid": 132, "vector": 132, "via": [0, 1, 141], "weight": 144, "white_kernel": 77, "window": [0, 1], "wsl": [0, 1]}})
\ No newline at end of file
diff --git a/development/sg_execution_times.html b/development/sg_execution_times.html
index 9b98e5c2c..75abf33c9 100644
--- a/development/sg_execution_times.html
+++ b/development/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>05:12.425</strong> total execution time for 12 files <strong>from all galleries</strong>:</p>
+<p><strong>05:19.262</strong> total execution time for 12 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,51 +1051,51 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/2_multi_fidelity/1_mlp_epochs.html#sphx-glr-examples-2-multi-fidelity-1-mlp-epochs-py"><span class="std std-ref">Multi-Layer Perceptron Using Multiple Epochs</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/1_mlp_epochs.py</span></code>)</p></td>
-<td><p>02:54.536</p></td>
+<td><p>02:58.740</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="examples/2_multi_fidelity/2_sgd_datasets.html#sphx-glr-examples-2-multi-fidelity-2-sgd-datasets-py"><span class="std std-ref">Stochastic Gradient Descent On Multiple Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/2_sgd_datasets.py</span></code>)</p></td>
-<td><p>00:34.175</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="examples/3_multi_objective/2_parego.html#sphx-glr-examples-3-multi-objective-2-parego-py"><span class="std std-ref">ParEGO</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/3_multi_objective/2_parego.py</span></code>)</p></td>
+<td><p>00:35.958</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="examples/3_multi_objective/2_parego.html#sphx-glr-examples-3-multi-objective-2-parego-py"><span class="std std-ref">ParEGO</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/3_multi_objective/2_parego.py</span></code>)</p></td>
-<td><p>00:34.155</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="examples/2_multi_fidelity/2_sgd_datasets.html#sphx-glr-examples-2-multi-fidelity-2-sgd-datasets-py"><span class="std std-ref">Stochastic Gradient Descent On Multiple Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/2_sgd_datasets.py</span></code>)</p></td>
+<td><p>00:34.329</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/6_priors.html#sphx-glr-examples-1-basics-6-priors-py"><span class="std std-ref">User Priors over the Optimum</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/6_priors.py</span></code>)</p></td>
-<td><p>00:22.196</p></td>
+<td><p>00:21.926</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/5_commandline/1_call_target_function_script.html#sphx-glr-examples-5-commandline-1-call-target-function-script-py"><span class="std std-ref">Call Target Function From Script</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/5_commandline/1_call_target_function_script.py</span></code>)</p></td>
-<td><p>00:19.417</p></td>
+<td><p>00:19.866</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/3_multi_objective/1_schaffer.html#sphx-glr-examples-3-multi-objective-1-schaffer-py"><span class="std std-ref">2D Schaffer Function with Objective Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/3_multi_objective/1_schaffer.py</span></code>)</p></td>
-<td><p>00:08.572</p></td>
+<td><p>00:08.876</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/2_multi_fidelity/3_specify_HB_via_total_budget.html#sphx-glr-examples-2-multi-fidelity-3-specify-hb-via-total-budget-py"><span class="std std-ref">Specify Number of Trials via a Total Budget in Hyperband</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/3_specify_HB_via_total_budget.py</span></code>)</p></td>
-<td><p>00:07.958</p></td>
+<td><p>00:08.210</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/1_quadratic_function.html#sphx-glr-examples-1-basics-1-quadratic-function-py"><span class="std std-ref">Quadratic Function</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/1_quadratic_function.py</span></code>)</p></td>
-<td><p>00:04.234</p></td>
+<td><p>00:04.262</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/1_basics/3_ask_and_tell.html#sphx-glr-examples-1-basics-3-ask-and-tell-py"><span class="std std-ref">Ask-and-Tell</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/3_ask_and_tell.py</span></code>)</p></td>
-<td><p>00:03.931</p></td>
+<td><p>00:03.933</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/5_continue.py</span></code>)</p></td>
-<td><p>00:01.582</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/2_svm_cv.py</span></code>)</p></td>
+<td><p>00:01.514</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="examples/1_basics/2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/2_svm_cv.py</span></code>)</p></td>
-<td><p>00:01.520</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="examples/1_basics/5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/5_continue.py</span></code>)</p></td>
+<td><p>00:01.503</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/4_callback.html#sphx-glr-examples-1-basics-4-callback-py"><span class="std std-ref">Custom Callback</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/4_callback.py</span></code>)</p></td>
-<td><p>00:00.149</p></td>
+<td><p>00:00.145</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/v2.1.0/.doctrees/environment.pickle b/v2.1.0/.doctrees/environment.pickle
index 2af6d6d03d30269dda93b7a02548c5253ce77edd..8fb1bef10a71fc9b52a76dc4e928dd3005663b37 100644
GIT binary patch
delta 72435
zcma%kcYIXU^Y-`N-Mx2{Y&M021X6*}OA=6eS9*YeAe|5(l%*t8=?Nfh2@tp;gVL2E
zJxICI14vU!5J8j{QBjmCf+Fqr%(-_1sPE_V^2hSbnbXglnK^ULZZ;JpZ7N8zX4n?S
zZMBZCF4Z7uj}lE;Cmf;L<hoTUqpMH2mS4ZJR8?EqC|tYOtEiMsdGD*Wq!4XozYt4y
zW(8)D{{*KW9i8G;Rtlwzw|zoGvNHpc(+0+l7?RwlN}uGxgL^0U8I+wFsD0lwNUE+)
zZWpYjC6o#eO71&4d1#-MzDc7-B==8=9XPaa%9!lTXf8_2%R0i*T92+iQF3MtZSq^i
zwWLN-)ZW`CLW<S`ItNqYXoo}2tRi}lHQpJB?i2?Rti?4{wMLC2D9hWYm{ftHeo`YS
z?SjKs8&<m{otx?%t9?+bf;OyHdF@h-vJ^1Wr-+;x$-SbqJg0X+rlWe&@RWWj!&A_=
z5!sn#wfN3uwS#Zf(Mlx*Yg$4Dsj@b?L7297K%kcRc5N-8X0*1gdIO65Nv%%9-jGYk
znX!~~OA4X5`k2UrEh?bHD;pK1tcgw^IWw9I+s(0-(}wjbhmKc4^O5Ag-x*Le(|6zy
z%*Ke=_DveS-MUG3W`vlJm6jsKwR??gY7ZKeEfQEbyF-!(4y`g`NbgkYwMVI--K!f#
zacEl8YF7$$7Umi?a^PT$q&yu=1uwTokS$D9+Hj07uVR#TuxBy4_oKs3X;Zu^X@_gQ
zsa<LoLp`d=;o7ifm9&hvN@~4YMQPvHjMsWLj?#W;Rg&6|w?t6Msa_Sz1iX<nWZ+Qr
zdT>(8nB*a8gHv8z{}Fvsh9(amm`by!dPjNL%z?)kGqhr9fKyAWQ=Jw>SgK%n6)3lZ
z>R3=SMr%|nF2J{N06fg>%!;Py_-m&d*fqIXO|4Y@y0$1Wl>2V)FimS2DuwePLxT)i
z@~)B8e{kxE5y`{HX0sHvt6|U1wAD=Nmpn|{TDPHDcD~aQ23cEPO@^$M(eAd4*5WoR
z+M-&akW+8EeaXj8J#I;1wEi!vgA!KQ!lZC5J~3QNt5;g{tsOy)rg+6_`Hf3pqwqRL
ze<la{W@mcUN*X*6qaTqXc1=ktxa1$KO=?g<d#6Q7?fcrrwdkh)elJ&PNNV4d!Ibfr
zwSp7|feFLP1VPe+@PDk3^2CwOA|N8rNQAcHtx}Xa-cnl54AU}FICCj2en2T>hn6J&
ziq4|igvQ|#B(P^FJ>RWVD&aJjXM|^~`4vv^@KHmDrVQ7<PiRalr>SqsnRSFrq+NBy
zNRiZNg)I^dlra|V-d=w{G}9=>r#v0rt(2t1P-pRgOuzUztbba{@PR{8hK@`gtfkf|
zrA0Rn(&Cy{)T*_t7VxsQe#w23`=(@Tjd~ZQg13FWc~Ra>LT9keN>Ro!M<`|>sc}(i
zd(mOjuGOxj#nmXL^{5ezt;eF8e%(=2Dy_9kDjk%a>5NYrICKOW9GpCIU@F8UTC3YO
zT07aWqL$w>Qj2O_Qv1Dm4LVd!j?n^Y#cEYsR|!|F|NCEN;Ohme3?DHv+ZANhCbSNh
zKeA{awhl{QYC*o>f62Fz^#n7$M8Ay$2iNNVs`fC_mvctvOHnjZzZ1oUEE)-yIl;G3
zXpk6;4*e>!iEU$KJE^s36Cusk`nM@9E!5_;sU#iHcDJb@t<!#LQ%2gUIoei`k6N^v
zZ7V3j+@VP7Sxqjk8in(;S#8TH0h}I9E3v=L^lRF8Z7VCqIXzsP)Hu{k{#&b*SXTLw
zyAVp<-;|3ha~L<Ec5b<j!>IBKrx=2twcjT|yPIfJws0D2da)UTeZ<t><itiIvEfBI
zS`~>eEZW3&jigK3fp!h0^9$OSQ~uy=6*ybY86UgZ$cLQR5Q%I$yeZ=wpGZZNUyFjp
zsUX}EZRT9<DQ@J%=2bPncNFD&POmL$h<m53lF4MOSs^PF#T@e2+PrsaC})^m($k*N
z)H3b<J5iFZ1#~E_9Akc2N*iw}r6qMx%06N`xNtjpjGi$=Zf2GeY6_|*+^FrUwz)$s
z<#WN(q8mr~8+k){31URv17#f%M&7wvgO2s2{o2Hiaq<R>wxwg)5^K0%k-`Rz9c5JE
z%~ez@G(p9TI@W8I-;I|nTGG4Kl!IKjs>q>jc{f6utetu{PP(T(f48J`T`SQkRyoBv
zDhoSXaLN{}WpuJBpK)4Ap$zOsOR`nl+Np~4gI3U~qO?GBbdHjK*D7_cDy`6xI+v@t
zl?%M|1ca>;i*}9~MGHG$XvB<Kw`&JFms1vTo_dByl0lAQW|KCnR;5dA#f!&iaJ9Kz
zqNEGj<}MASPqjN;8c8d)xULPQ$J(&2^`z6<mabK$r{Gp*)8cE)MLu$r7V6ks^xrrE
z%1WhPn(Aj{nuZEWQ`S*O5kpc{t9G|b46Qis2r=Z@m-|qs&}RzKdUaQn4DNOXk;wHK
zId^cP>0RZ2t_B&Y|KswdL{=l=EN3f6E9WaQrZ8_a3c`h{W~O|?DOC!c8mCc`I5k?N
z8l69)<@YEP=HwP$aTeIX7;}7A3+UNYk(eJZRO+=K9OgC+6x|Yua0xuyVz0KhXDR84
zR?xGi@)fsM5$YE%PL4gmORVX~NQARkjC%d$aGHx%#Hvk7s-{fk{KYxHk<}k9Xv^Ud
zEf4i|7?XS3vY=OW<!8=VnTAdAD(`Ldb01Qu;S{e(%BYOIM&f2|MXxH-OzljsdeZxv
zZ*o=XxYjVamZEX-C^nVGB;40lCcml7;M8g!18UCw15S)VqHxQ+&5Ac_^?R3AvY7`D
zw^5LG@SPxSeIp+>Qa(nVKH8?<736O$+PA&ql*LAaXIqAu6@+N<eM*=3l9ONVO~bYt
zU4PE33Z{!;N=E^w#Urh<Ic*<Uw5xr>q%X9;`;?aEYtennE5C4_;xymer>NOf4$_0P
zjK0C%51D6pLF~|(mF%%-`}>B<yDVC4N(4L&rzt>pICnVv>BWqxpT#-i!~BG-yzU_w
zeSW5mPbs7P$>l0&XBw6<D=NwbA~k32;%34P&Jjb=eWemwbU&N*C(zokdO_5-tB<$Y
ztHTzpZND<gJkA<Ple_wO4AT^CNxzcPbnQUDSZRrNw_m)~%2E<gD_m>XKS;52V|Dl#
zKz9d7k%rV~aV@2g7-jb05GTZm!$Rd+fm*LNiW0^J%fsg`ZO+>*t<r!h%3qu_M)>jL
z2lyzPn2a~w`cP?=mN%e*T+FIT1IsAiGOx17br!WsyR{wzL(+4>8I|du)Hk)y(BvU0
zNh4E}(vn9G$ex&8&cz;vE0RBg_#=uxK0<z1G$ZyaTqPK>6X7b!h`k3_DgI!8!4<=Z
zeFRr&M(iB8$}nPwz*QC~-F1>-IZm9-s63;Ej4CiXz^Edlb&M)8+R3Ogqoa(fFk&yk
z70VxaoEFE3Jp@-ge_Z3Vs*Kn>a8=`vzd7xVbcXC3xZY&Mo`I`6BlZYfH5joU;Ht@p
zjlZiFqZf>7GrGj64x{so>M~;M@2ba$O}?u>qqU40Fk<8GYRCxYJpF&JMhw}MyBah4
zn$cT~*nYd-X0(h^6Gl3tri|EnyP7d#yX|Vuh>f(X1*5BsS~6nm>}th`&9W<jKjv~;
zYewn&8Ma}#fl*sVY?ob$jMxmj+VRJFPHWG|!XNMO2b*A52S$?_b!2pp(YuVUGwQ^M
z4Y8{;BR0RTE{tUU=xR;J=MS9Njp+r9x-<HnQ4dBd81-btrr4Flh;6T{7o+Wrk{PkB
zb@gUs<BvZ4!4}rlmp?8rH-*usjQTNJ36$>Y&+suP4q$Ye(LhE|8MzqcGaAI`H%5aQ
zO=C2Kk;)%K`GbwAE0sUkg1XWevDtJDW5lM?HJm@#M!H5Y+Lq36Bttfeu2GEG5V}S)
zI>P8ZMr;LLWBB7Pr;TOAmd`bgKiJ&4#`DKs=1ySrgwaGsZ0cN-7_ohG36U?tWQLXH
zk1d;PGSh6+TvPbtHm6Nx#OBQPJ|i|`u4#-mGn&q5CZidQ-e)wE(Q!tz7_lvLxf$JO
zG@B7yGFK)eHeasvISe;4oXd#qmTMlPi;S`u`S8bl{`iK|7BFI~<<c01@JBX(u*q^Q
zWW*NAmBWbbl8YF9z-SSpFBpBmXugHz??Z-coLq|;<uF>ph>enKDWg4%mNDAJXgMP`
zLar5zW-(gH$d5lh;*V#X_Aw(iI<8fWit@*5{$MlXS_72sVhiJ1%ZY~>eZq)Mi)$UD
zDU8-Ln$Bngqa}<sGP3f=CjPMV$7cRugW}r4h%JdLmr)phY~_zzoc1XrwjQo+H5jtx
zaBXL_iqQ^6#rR_<f3WRv>5O(W`ixQTw&ke-mUIQ!t=6@59h4NI2qWQETU9bBHWY64
z&bJ1|#=@=AyWK=iHW+U8ofLy|h*~0+7}RpXtGvyi*m$_rt$!F48xXfzqf~cM%dfn7
z-0JNr2FXUlt%kg1PzMCnD8ZoEc(~QK`WX}(5V!jIZwAFi#H~iydWcGcMQ1LTG$=ME
zZnbh%g9;G5{f!Lj8ViqGZPwc$*|MP0kp{)q#jP&MHYheQZnf+VgJL7&RvR2KDAwq1
z_1O)BV$<PPF9-A%ona&7R?ka)1jUBPt$sYhpkR#BL3R!AE0`|?vrM)@u~l-bQ_7_X
z9$O~2x_-7nu}#9l+%PCMEpGM6(*7bRTPe3XsMSD0v88gW@$+4Rg0%uQ>*!EHvB64r
ztD~l-3X-jsTg_~gCMdRCZuO(d2E|s%tqv#{CU|VO-0JVeMhJ>+ms{Q2ca)&m+_=>y
z)29lGZ5S5jvpIrdJLXn%uFVrvDCbO954Kn!NH%D0wewShVw>hxcc(5CJhp3Y^~C!*
zf@0g|R{x4zEGV{7ZgqRzC4yob=T_^f%LK)C&aJlZU{Gx9+^X{<gJOH<R@1jsTp_Zu
z(Q~U)M;R2GJGa_yt3k0PgCvw$BXY6<bgQTR)(MJ@pj-W6gF&$!bgO?#n+0!ypgMVP
z5focNw|Y&_6%^Y)w|YJOXM<$J=vM!pu~jhHBw~}iy<JdjF5GI|xgCOHBk5M}|M;1p
z*bcc>uUWeV#by)YJaMm}*mPnE8|@Pmn@_jexSK(-Wpt}ElG6_hCR<du+UdqIL9tbZ
zKy^GWC^oE+?oSMgjjLO2bkCsJth&|6IwwR<Hmz>;SFbMw#b(p3KAiWZpxD?#U&Nmj
z6dPQ(I(^B>bV0J!b*nxP4JKP&h){=9g2y)3t<LUrT2R{r@9p0Vij6Bq@$(tMWAlsM
zR61W!Y=Yft!p;kVV&m&ZK=B(vv0-(q$6H<;l+Id@tuRF4_(j2FON_~H@~xoQ8oSjI
zR}6~HD@GB1S@75@yVW`$8x&h+EJgh*g2&d`t+t50DkwJ4ZgptjH9@gm#AfbrV^C5$
znrBPxR)1-KOEB5ay4BAP-VqerZtRL*?+S|Tw_DA&-V+qtaJRZ;ph2-6NAuqq6x(v}
zs@)ek*`7mr<roy(bhPk{sdPn{bGK?s{#|5clMZ{Z$Dr7%yVaD(2E~>g8?Vv>k&|t@
zTkXH)FF~=rcB?bpPX)zR9{Mr#xuDq6yVcsa42rG2TdnoNHW+iCE=;~#z1Lo0QW$&e
z=J9qxvB7t%hko!D6dQfF>bK1yD7NC@{c2G21yv`~DR}G&xYZq>85Da1Sf<u~g2x^K
z#Bzf{rL$Y$Ru^{i7ff~o+-lQwgJSmp+WJF-V#fdiwb`K95x|sQGAMQi+^QTBAZlTM
zz^$%qWKirAuqrbs_6snhOATs@VgH_<G)Q(3-0E04P*lTCf?NHfo<XsrfUXTUD0UXy
z>IW+giX8^G8g$N}*lB<~JuxVD9AGQT7ZG)`^WawB?O{-V8TN0wW{~VeKw)e%D0U>=
z>d|Wk#m<CV-Q*o4s$qx1t!Bj-6gw4eHL!(2vD@TU7k_F{>^iyC|D89eTtRu?GN_Z5
z{{@2?VG9<O&KAto-GT>eZ;Wp#E!EP;$0N?Ub^KtJZR)&iTvILRtVPc$s&$?`MQb>7
zl$LY4m6kRkSR1>#v-sbAv>2j@jb<ik;WJ~jqtBTePiKou3_`T7?l4Q1>xwocs~K&G
zL1Mv|HMF#4O|``9KHC1p{#w(gJv6_K36$rMY?}YyMd;l&QXj7@ae(CZw{GaEjh@AA
zk3=f$x9An8PG4>G1U=A_W>2<e;ee^Vc;Brpf4@7$m6ZBwqh?J(88++x9Em3j<rkL{
z%#I@7Fmn_)-}mK!=<6`4otC%FNukkFaa6`$fu~#MV7YN{*hBDeJd?C#hA$>=GG<_z
zw)L0x+KN*}wP$mDwdr#wYQM~zqIEbmQcM}A$7Y9Vqvs7n-nFmK7W%5)x;sj1c4w-X
zea_s49NL9*E-KqY>Vp!iX}*_aRL|99A8w`vEiA9K%$};bHgSgUwY;tEDYueTUVD1B
zmFS0Ah1TUpD`q$;wj8bqYh2*$nOeilSv-&0w7HWCdx{3N(52_W|605MQ)?}Mslz*E
zOrMlAzI_>?4VyLNUn{#kYbw=vOKOU|#b{oT<bw(>(Ci*kGnL&P&wO<}HA1v9a8qB@
z?ndqHwRzurX>Y9jR%O?R^Tn_4uU-477j?t}VY=A|;^g_cU8Tm5Kiu(s{GPU9Wp6L`
zhrr3~u6@6)9pv<)rmqRos;(WSy;$8(`*KZxZSC4VTA33GTJ9QEi#=WpO<sk}x7Rk_
zE2d@7A4z}4K~Q^r7N&K|XsC_e)mi)WtI;&OA|xg2p`t}^_NT1d-cD`!thThGrc^`g
zcnaBf7SZ<J4yFTjq#js+R$9_0rL~_oPSw7+lT42~V0EH5htY&C5X*Cq-X^6KH?h-)
z{M$<Y+M@MSXm=Z_4du7PwcYxMDcWdvA0C=keNI!V(jHgJ!%LvRyoV||6C^*3pFKMs
zf71ERv??B5OZvp2MgQy%5g9_?RzfFO$S#~~N(~!Gsh+K>)!i{li$44#*10dGw={=&
z;qx@?o=~gif3RI)J%4`EiW=6Fiek1}iJ58qVl>1dA;(9GqN@%mP)pc9h@yO?0CO;y
zuO0b=v|BqnX{UDep=&;pN;Qj1MQD_-G*N4{dnBz<rSVi*MXRhqc;99pPUEg%6HH*8
zF;NT1o6H?Is?1#z<{3dLEYe)f@8D3ec%yc8p?B+{o-;oM`&LOCo1Nui_w_&LW58ZR
z-knGL^MWrpQC9olz*wwvD_*<+ZNlN1ntDuZ{4HY9c@UTp%rQH`o;sV9lM)u3_0uZn
z2SW3V)g~U?0HKc5T3u@8kt38~N7+;2pR2-ZjF+*uw)+dQ<;p{FMtBAo^J<SmSq&Mz
zS-Unxx=#MJrS{zVii-$Kf7(Wi&iB>Eo%Pk66I*fez0*agX*o$??x1>1z;C|I(zfRh
z!qly2l_EsB%uU{m4%`TPHZISf=KoE1p^6_Av}0-4><bL#f-$j6&tn?4KuiGI(tf=>
zN~?Z>_v*n{ySB~$n>QsSPS(7?X{{-jgR$!hJA(W^St8Pf$}$IPCC+xiWX?1-&Z)v8
zJpC{0{~c@IzECDT`|867V(GOj2NRiRPr^m;z>!HwRHD2jQZ&DtMbVMZ3Wxo#JtsEQ
zf>{bVdqD`Q@9C?V0-vni`~JPc9sHo+Q(=+Nbv}1+*L!OL*WT6gu8c<-pFTKkfJj?$
z+)GIkPcB~T2<DK_B|L}!+O3{l_78=?R?#!qjaPZaB2WvTXFRpoN@34?6v*p?DRVPf
ztfi*{tf??-bh8&kWR{}+_8>?rbCdOt!!~?)>hKZ&>@FXbxS_2Z612B&7g71FWHt<=
zI#u(To}g{I7y7E=6B=vR7YV}17@L#lk!7jbogc*<VnMbWsvT;qVJpc`>vg`9_SK^%
z{}}x1+HgT`7p|Ld51N3bDPA})aX<Ia2LA@7_<hmWw4=Y!vab%7nzWbtYYTFlYCZl8
zL@(~Lwx`4h=-OlZ6SU|V3jG!?6&IV6`gDZ3ik{-5B|df_?;;^WJf(-9y!CHy1$w-h
z*5HY%ZFmwYEb@t_A|Vo*+hBBi=0r7Twftu@Xjc*GJ+0I8U!iSroq1+@Cn_i^mGfHo
zzyC@9<A2()4UM$GybRheOMSHS=LXS@0O=gGV{cZc#Zb)4O6|g>7PQZbnmA`%kmPzj
z7h1bO(TX%v<s&CATca0!w7A`Nnr)ZZ_h?n9!dW%{NrU~Qu~6pYQSejGXvyA9s;T06
zMOsRqk+f2kQiZB7><Xlj&#b7O?mMLkp7i2$rWh1l-0tG2>@j;K14YXPzEY-k<hig4
zY;R9%D-N|6-5^yO`>(3`kn5>hSPf78#jxl2%nN2_eYX16KB;MAwf#?;BgX_WA(-Ru
z|1}{ywA0f&^JJH&VnwCV!q(8@U}+M2k+dQdPhB#DB|r3R8qWabhe#7;)k<kjY0B$a
z&;dR>a|g!J*$`=fuyL=BErW+WmApcvboqaUt6aWt2xw&6e+wW)tTF26Gd9;hkhUsN
zXY75pij*eOxiEMU9$yr-d{S7;zgWcTlzxbof>|hG&W642$)dDVyML?wf?1uljK3mT
z@{_Tod`d^l@U;@yIQlDT$-`6nr)u-&Cwh!!D9>#(Y6y3o8kCj%=y6F1)#zEmnpTH|
zN>*)XR#SHNr>cCg=lY=bG;O}9lMQYttuHOH&&)@ClTT1+zo583ypW&Tu@>>8jPg<t
z+qD9Usv@PaTb4it<)tv`D<P)rs=cTv^^`tl=lYc*!u`2@cLYXR#295DS91+5a#(;{
z<O9U*yCb>cR7^R?2aufEo8sS;IxcwRC-oADTE$A=g3kd1<~L!PqlNJhq1P0!R{JlZ
zq|xGi7H!I{CRKS=J<_Iz(oniu4F%)glw9zX43}}-+0N`bQj5lLzMEcbMZKy@F<39b
zrHD5r)>l7^;ldI9hoZdpk?EqD)Bl<$s{IKK4;4(2?@Ikp$v!$$R(eOv|0Ix}){=^-
z9LwODF#KwxA{tv=8X;U*ifS%w1+7SuifBzPCUD0}VFEem@&8-w{5c3p1BrdN_o;3}
zX&7B;AmL208djp3R2j*~UnW!O@)FJz=$=m_u@kkIJS~1L8#^&gY}aSJ!Wz2GV3~9E
z;1$-^uMAe*H>41h+Q_~HWwpmk!R<|?#!|L0MlgcD!U!6Eq>q)B_mo=xzh;_^fM>P~
zt=#LA^?N~kVF_?H>r1QSr2*3O*Q}mV^}L5+^nQZWQ}dmez<xcB2NTf8Z~l9!UzYi$
z9n4eW^&aeeirQ6<_3(<oKSM?Sbh)i`O%D05Vf?F>kpDhkm=;v@{mWPT?t}mon9X5N
z%b8uUADU1>2dOBT9SdOt+LPM0l7<*&*Y&Kamb)p9(h?*u?pvUCc3Cs&13r+N<Mte<
zb{Q_H-^PCwpsY^NINTeR15!LzRw(Q^-0UfJmtXEme@y&9%;GM((@pB9a)^p^=Of<0
z#`I`+>2qvmj#VKUj@;yHiNYDGKBuS3F)Pl@n&I4|w~&wHR)zU^BLsVK>`Ekg^u+6O
z@|qted>&}DSr%%SETu|!=wPxmTJ{qPjy=z;-cqC&N42=dO8mfroP8uaebrZr$3dOx
z+^0?}dcwgj&J@9qE{OU_W$7$3VKq4L1r9~_mCDO_Q^apDEO6)rA0;^y#wDY)<W}KU
z7IEfOr73--7_d1uCfJmOC*KsE0t0E*JjGz~I}UA5KQCI5B9-y*IBLeNrVWwm)5(6)
z3~~>Z-ll|pQavWiQ@0_QtSoWWhJ5^(g9`dfzBH}BG(_b{8kg=hK#G?$@mTP!Fv=e&
zDYUsi4!YF_NR`nu4zO|0>Uo}il;#KIujZ8SrVp<|Vh2j4R1Uy#m2pF*ZnS-%v{2=+
z8>ciHB-NJr0WrS=8JIS9Xzy%FbV(J_#9w9;W$=79hUyQJ>dAO80vurE%My2d+=(Xq
zK!kb@!io0IASs4^9U?VF1stJcb`9f=$mIc%HcT*H;Nc;1B#jv?g-EpvS>B#XzqQcG
z!BS6^qjucG6{%7*g``Q**x2R(gDK91sX#N$=&QlfyVR;5-m`x=1m;l8Hio&(nC&kI
zA<MRbFpP!sPRG)uS?L_goS2=dqz+FTkUTVdK)n&-Lh~O<9C7?d5{DN5k;FayM-m4a
z|B=LzMkIN?mpZ&}A38HkDk06L`@^ItS+P>!aOo6Tc1xuw=4*J`;UlDm)ISeo`Uq%?
zp$DW=IU}VWWLt}*3`X5YA!(G<o!0E(T%)AU^xiI@zeiy@s^tQu{f_CFF&Y(F4}$!4
zwA7IfP67J%A=J^B_rPd54&=N)r3m_q$<d#KOn8j<+@r^U9H4<ba21Zs)iKgLG;j^b
zFM{OqG;u7r-A8~d7z^*Z<3~V4#z}*y^M0Tw<Dl1%%m=z1Cdbg4@yL8K1EkjkDM|X9
z+KrY<((DQ7O;$Qmzo;Y^qwtBy)M6dT^ode;NjEY*pNO#!oQKr7i>g9t_2d$?W)gDl
z+<~+wbL3`}m=3bXNRX*3<yv%$$pD^_wi)mUr7b`OtFd+H6Q5wh<63VDnvCvsUkt|L
z$#6q=eTeP&w2H++`KNq>sQIsQahf~@wXDcNmc(h$$GNovsq!P)K|xcIo;Vs4uc69`
zQ>EUN!!7(2Wob?=-v{#%&tRM{I*Tf6(``=sc%xBK8m%E9v>J$~x_%T|-%^swOh=9Z
zpCNtLbof5!-9RHdSZYw08DMmu2y*WX?Ah;mW^2zx*T2_+d_J^Pp}RAYWzBYw?Pp0{
z$o)RhiyK}FJ$GXxE_LEt3n${O!SvTG<QupZ+@U+sZ|f+lKMixEs%@XVQlc-Fo&&PN
zB5Os;osAOxri0wF2xBRhDUG2UlR&oKXN{+yGQs^|hB*yw=3p8s@%nDrjoQDRBX!To
z0`+1MsGf5%sQH;phAMV?F&E<Uh<lR%k<Cs&Ic=3FZysv9!oqYX7bVJPNu%f+2six^
zVT-5Vv%sBm93+-Pp`oR16=>Rgq%Gq%ARr3enGe}_tOSWl-=L)nzztp{dN+V_c}yGs
zu*K4D4e8$>0x9Nbx2(iavuvd0EabFMr7B%!^5#;I4HinBsMlto=xjx$yoFLSUE;+!
z*-{CoUOC7&`xwZ>IcR(TUL#*Q>PKMw!rMW#afUF-U(W@(WuMZNmMjAI#(3r~k|xlV
z1qLIM_I`k4(!R0G2vrnn{h>6Nk~kkEsUd|gMzL6y`1Hln6nb$OD7T^7h*Fk-QF9DP
ztWqSk@m1|~X9+sg;62XL7FpIWl^Rg&ETe2BC3aF{sLe7I8~*{)ru9+d={l1OSg)Yc
zNILM5D&G3qDSD<FMAMgp>%|g`HtJK^6(Emc2XJ3R<`_E3Y28^mVpmG<)5G;Z7gkE?
z)O$7-;iMWzpL~QIb$FJrkIPckk3rhEG3l#1sP0A8Nn1Xa`cVnqay3^$WU8|IxLVyu
zp_)(BX!>&%O4Qzjw63eAJ~Z)DAZ+Vdl*t+sJ71yOarSC-WDWAo$VQr&|0-)S|1lqe
z+_4r5IA8)0wg7@FpTLb@y#!>v`6%YK4#nbm{!cBp$J0_KD^Ek`*FzRx@HSYq9xAsf
zOGfAhX&^<i8jWu4Rhmw0K;CUEe3dpz?@=FK9EhPpCpY3e^Cqu-k4<Q-#%iER>%1yc
z^k$ThPk<DAYu+}mnskuUR<o8C0`P2~S0#FP3(|^y0=t&C1r=O`sz!fQ>XD0zeR)S<
zzl^7yy#5$%1=_h41p-(d6#Eq8ZnYC=#ix+0F-L%wBzPC6CfgtmS6Ex3gcs#*!>oj{
zQWDKx+aami?cR23u^pq$!vq*haArGBdx0$O&A;%Dq0u|g&fI0Mlp0JWmxILAj-z~D
zrH%Kz!>Ejod{<bf&(a~3HCeTl_4SFNa-V_m2kX3(;rOP^b|&vZRw!f_8tO3BU^r+-
ztWN|T-UaTM$w-4Zl%a&(AhV8wgtqBT8(6eO=g;iHJwbF+8@1hot$T6bE9ryjeHON!
zdr|x34M3~f`qZYdeW>Yg4dkSKQdio?3-n|k2Ht-K(D?n3$7|e`J@5KdpehHD`4^ti
z9^+soRx{a@_wVLoi1wGw1L?(`a_3<RM)3}a=;c$NQVxPqZ4o@8r^!A|$ax6l@Q=a0
z-p417Rx%mR+DFt<>M+QDtlg&{M$G3ZPidP$Xs!C^V1&#BnKThIvXjX#*}{urHIIN?
zHWO{s8}3t?PB7Vq)ts=tiAO;eu;7c#Uok1M;FlfiQ<PdA1Nj+i3viRD8_!zYam>MH
z=ugT$F14qh4oHpZ?GsWv@h;2tRK-KBAoz8zU^_lOf=}Zr$!IB~SVkup)n&wQuv{$|
zE$6g%8GXm752MSB(ir{9Xd<J9jNFV4Fd|0l7_GANqq?08w{qf9M*A7@+bY+WjPf|`
zA|rlN<@$-yHBS4T5kIAJy<qe=r#Zav@gt*RjOH*Z!$@aTjS*k*x*9UN0+jA*&2S4R
zc4c&vQGZ4+7>#6fiP2<6d=cuJ%jiQ!iy19r^a-Q2jCL?u&FB!L?-`w8l*#Baqpum=
zWOOE-;Uk7_Miy^;@ZF!wpV1>m5sdhH&sBlZRZgqH=yOJIGvX&su6B&(a#~MD`xy;l
z#1}fQF^twQn#SllqXpjlsB=BT<($ZO9<Ggy4szNqMw1yGWpt0xIYy@#6)^gp(QQVb
zG5VVk-x#=5AAJ14X+ezmCcssK(F#UY7;(7Wm0pJ-N7`M@8Et3Ok<nd7y%{ZHl*;HV
zqX~@o1(ItPBYu74%3*YYxgRrn$|#r7r;PS7TFK}OMvobN!|1el)cGUBd``U2h$F48
z=ZtnR@^Ro}8lzA~;t6kQMjQ}zRb`aH+y;!q!`%c%+c>QYqa%#^G5Unj2u8#x11Q~i
zt~-YlpK#)bjKp)@wTw8H=-SR`FLMtv5^rx$Gy00tE;0I;(Jzd|bKQrGrgEC>i;s(p
z{1|aa&lS$-KBMyK41Z==ozXr<Z!zLPnJbYI$G%)W7`@NP#ppPr_ZVr6-e)v}(R@Y^
z7%gM8k<kW5*^EA8B;M#AVf0))YX6GiH_X1qXfdN(jQ9bM>oKD*IZbimqkvHnMjtSW
zX2jtUS7k=K7}aJppHVYLzcA{+D2Gupqlb)!G7|4{T;mze;>4MZ?l4-&$atj7NIb~h
z!srHb_cHp4(FsO}8C_sBkI@f|rZBq4XgZ^3jFvF+_QQvGj~n90`cFK_jp4*BX2&x+
z#Hc<a@gTPqBR<@_Iy3r<Q3|6?jD|B>#VDPTc#oUO=vz+vfYEM7YZyIaw2jf9K=H0T
zhPj-0iqT0%-!Yoa=x3l&nbwi1eMXqy^U!ynks>8ZJ+8#)PxGa668U|p1nSkllG2e{
z-6xgLy1nUMEuR3&_+Bcaum4&qDlr|Xe|28!X2J&FNL@|1;i8mg!ph%C6C^s{!>2ms
zKg7uo=j2GLepzZxM|%3i=pS8{0wsn4`jIPKUck6((jbXKI{T#JG#x=@zeo1#osnJp
zUW$;UrTW(E(m4LV(vJv8;r}H+N&WbL%g@q#5*@E=uTEJX$u;>19znL7D1NoR-RM0H
zyD1%|>^qXtA)L*_>Cmsp(fh6xqgVM2L1y}{1-dILz=1uKir)qM?^fpUY5HAM;E45P
z*?kYE->j-0Zr%IfK0oVaR)EuecZ&Mj%WVAK@8E7p@)^qK{9vl}2WtMf7o4rte}M7f
zL)k2bvwu(8^|x#m>-GrTyCL#Wjsm1mekcy?p?@JQd$6Y)hzInc0YgyLxyNAC`@@!6
z7!)W%(NECOpvN|I1v8&WXC$Tr^&!us2w6Z{@<RGVg=yzYJX&d$hwa!aJI!pDCAo-^
zO_!{)mjTy?E3%nb#g6Zu8#N|*%N0$y#32Wn@Q_muG~o?@`Kej$AA#}!iN?fv77THV
zVYIZWXRVTg<)gIj64pwr2ErH>XkSseIYnK=dkq#wDj$L@^S{JT7l<r9Lgf*(>6B`6
z{|E(lMhDC{!W}V`P#k6Zbi^cmRve6hl`u*0zXsF2`ktwo7%rEF?AFKBY>$w!0|aam
zC66=V*=TvRM6Hj>sT?VZqVpwD=ZcfYQU&RaOUb1qrUUi&Vq{1o!<}VN1~C<BC6*8|
zm0<e2EJ|I>hsgCSC;LeZ1N7<T<<2I&TR|Qy<*Y;_2)rcIy_Ir|-nOzFAyL*UR6VJR
zJW`^b%k8Ngi3z8Pai}hDt2uA_%{VzoVmgrgs>)wWbMzmp%0F0W$2nYp;xryf9cpla
z^X4q-c{N0V^HLziRkcLw)>?8MR3PYddze1BwmeU!p-#+~C&n|7=K5pOqVIbL>CfwN
zanNS*#tr1TCY`s*u2SnR9JpDFdG|Sm-dAiSe{8Vzg2r;FY?O?R#gTSJAaZ79_?Drx
z?YP63G)WH7J2#P!nYBfwtEyhJne6<pGNtvb7IJ}^^X@W5%}J4i>C8GG#Nw8rp08TT
zv1U2{Zi=cGZzFFsb7z(CQT1zW<?l@Tz&moZ{#!fwkU{I9ufJqPk>6BboBmBldH*Yk
z`q55uGqe7CGZ2pWxiOkg+vsD{8+Mg*JUJiPRsC)^d7PPZ`8bSv&J^U#+Kf|!n4hCP
z<y<rS^Et>qua{iT%%0!Grt0~<<q(tRVeU+k170C9>S`3X%g1KS-iZG4akDaWPO1^+
zsi?kmpd4ou)2|JZ^;i41Wr+NPNuOzg4s1yE3}0V9O#abi0Y+25&8X_j5wFcGVP=E%
za--!%o=V@5!}UAw$wyzMuaA{`n%&Ow!*X<)Ab;zr*_@OrVjMc8;JnE>^T49&gEM5i
zS(2wu$MlUbX<k^P`6|<7dbPO+)8+R>rXb1~XDO!BEcu~@`keDl<q+jOn)jV|0OdWF
zg7htOWq*n3K<YKY8m8ZxC)YP=u{pZVmnR#vetUuJEgM<0&dK4FwHrs)UZ44R(UZ6A
z0s7d5JY-SRrN#2QudK>GVwo14XCtkuzVrjRl2MV4oYl=b*H^R@$<gG-l(tkxc&iom
z&irL^s!Zd4G3^&eRVGvGn@}V{AISkwOgFKo^XFl{+ked67IfBjIZDr4B@Z;|hCLA0
z6XJ<qJP6VUt>KjtIooWq*!A#F<Uc$$Jw&t$^9}LbkI?LreLmiFIu)B~=z4jxnP=Vv
zFFV!UELYHzHp-vBlBgqbi%j*K!iPYhw;s_}Xq}$TVeRj2m1Cg5n){e@+-Mtj7Id7x
zWjps%u;Rk4<~G7ll7#3zcFGG)&P%ltebA?*Uh6aYpux!r^iiowo?KaPxLZE_&$JeM
z|DD!;|Ep;_%8rzc=CdYvsXVY?J^v8zNYN*jKx0ObSd4le_EGdxpUW9C&D`ge`X6EJ
z7_uG5u=gA?odA8<ab76U=GeEK;IRu@$XCRd@>G-FR0g|m*Gaab%-64-mfM=J;aR!9
z2_bql4M>1pUlFsG7kKlFss%@E{OpS?LO)egQ#s207VWr%?p=LDjnPY7=AKQep_)BQ
zy23pJ9jBkVDo-+5EA~NU)wfw3dRl?}vzd79hTQg*hEHE-Nf0$9HnS8V<g7yxvwflA
zGax<QKk=M1TSvjKWjg3kN4*~3?@a}zO*5{a{+0U$+U%F(7WYfgV#dbZW;a66Z8u?g
zAi%-8|6N`)k$7efwC1<><Oi?N1UgO+ejr0n93HErzIKVwfl?<brn9vA5jPInZ2X5m
zxp6^@#@jvS#syu_2m-_Vihub-zxy|DD}&L%OVw9AmDk85|BkJ@;)bmO-%OOGD=#ql
zCx4e>oOu=CnfFd!7;89S!{QNz?Dex0uyCQ}E6x!>VjGiWfpiEuuLy$mP=2tjXAyLZ
zD{X<(VX<Ie3ik4Ss$IuAm5~j4#dqFzeWGfCFbRHiu40F=FiYoug)r`{-@F6#2VRy&
zW|lT?sDsuH%X72J=tEXJTl1n6wbZvbP3(de*ElUOqoT$;d+c_7kiR9|ES`83#bMIZ
z4O)*2wm|C{jc-)!x_^iz&CHtC#%?Fr8Hf0Nl>BABzBH+eB|tw_%yQ8zl2{vB?W-`$
zDhq8qhOLJCoGe;;+$%=^AliZ@s`sU5M}1Smf+YeSr#C5OnPRZ?Z(}Slo19CR%UW8Q
zFsZzymI<M5ugK(=<~gi*ZiuGPk7;~ZiRD%RO$A#J$E^rjtW2A#7C4E5&g+YL>eLML
zl=+=cQQh|q3oLZg#ppEdN8)H-b=*V^Sn5#-<!f-opiK$uUy~~a9jBkKWf@_zgfbL$
z@^8ZElj>MtdiH({$$j;%%0+$~J(9boKG&PNO9`TakFCY@9~*GJ;G1q*`$m=wlV(4I
z;Ac3rxOYm@ypKGK+vF`?Tu}rHr-+9eM{Unw8;@;bIbv{i?DF$6^$3Tm#}!$1`l2O<
zIH`o^%vik@cLlUL#E}Wy6+w$lbiK7@m`StN)d#n=oHS{V!ez-2KXgNL+d}uGx3f%_
zspdFqD&NGVBM@#iH*82pZVR;8R>ya_EkTR64tL_V1kGkdhdkrJ@_Q_tZCv7ok=z|!
zKN1IzduVq{FwUfLaPGwlZ|h-6HR=3l*{at_vg|VH{qM+j-7DGhn@J~L##Zp{gA=Jy
z{^}s`eNzhgLf+S0hfRI4+Sgl;>(62?TDsF0=G4RSr=^+L1)T<3zBJjf;a0m|XOP85
zHnOwz)su!;9-I8-!6@E+ip7hzT=#L%-8H_rX<UFhmZn<vnt9Tu!TyUTV%Pe5=~=@p
zI1X~-dfEufXtUzGGq6KnjIzK77X9KL>)*X+Szz+TcKl$RWxh<U-^G^cHPNzKI!0$h
z<x+b2Nmv39$*a^#djE9HKZyCO<XHWDhGnQEAG1(auvdtVe(q;hUO8(hJ^IAAB;|MY
zx9VNqx18qW+z*vdz2S7rJrH{QOp8NC;@OMHTd>UHr6;*9e{!})6XZ}mH52;*#KEoh
zP%8SHPgUx*-q)%hpKH0wd4{z@o&#AHne#Xwc!lcUEwJ2Yj{iml57ph4NaD#LOh$kn
zz7YN5UIx6dhZHhxlsDXB)5FLzS*Fh%5OrMej;1>S9w}e_Axj=;Q}TXT%#tT)!&EG_
z;Or>qwr-0*HMotEQ5$^&bf4vxbtXp`t5Yj1J7g-e72YXsjf;`@D#+y3LvT?=2xjyu
z7EI9QPTsTHGRmY|$6))kSZn#rr1>bK7hh-j+oZ+zs=UGCFN^Xz3?>fdsH&JgZi~fg
zre<xms0O40wq3c~Fx6&*e|oEW-VTe+<YRw2Y1vj7`N$(s8+Ye>1?Z(dv%v4*{^`$l
zS$xf$&|qfHf-Sy9^u)cEvu2%n6JVfg@3-7C=@r3fvq2v37BR>JI5knX<ItyBhb?v*
z-`*Oik2r)idf6pHmx}7WKDXcuC&~z8yy-670d&rfvWhx<X!E<)0Dam~%f46Y)lsjf
z9no&m7lri8cKt&gUUaKFifbn=EzAK$J%GK>DhVg`dA=o_yi?Gv3TG_ajoS5l`Ic&C
zPH}FldyZ|f=$tsnjz7<qQqW=&QAr8P|H9Wn8E>JXhu>fq7;JGsy8NxBgppnMyKKSP
zO_UVJ=2$n*5J^`pVMb!kujtaB`Id6D`Mhrt!bAt?*9t6k%pxoz)bFMxm=>p_$6bH0
ztnswN9xsGL)uVs1Aj%_JfP^?{-%j81IrY%1sXtr35V?!#sKS&Ng1k6s$V~`A+)Qh<
zzV9~+4nCqZiw~|au?)=4iE)^tJ9paxm)*z$w@JrJ{ch56kT70ORX=c_T@TKrV}{_k
zi2M*Kv$1ra04L48is8Na$a2b4oW)G^rT#9@=)3%7scV$h*Z$3>MO1Vp8*OAhwZH{@
zS@9Ct5lx9}F)@8!6m~Is5e!8=$@+$w6AR#^TYG&=Q(QhG7HQ`!Vfqz|^^#GsnE#*l
z`c|U+Foz!kG3a1~Vugkm&G0##&Md$hi5gz6cqhB{E3*bZ#+<oeWI-?_!eOI=9jIoS
zxAlgnnmyPQXr-yK=Po&{g`(eBR`t_PYX!5n8MQGZqAivOJu$%A&g8Jb6E>Pkr$eko
zsPiEV`$iG#YO@KJJ31C(EkO-i2KX8S`61W}Tf_s=^Fpi>jEeL&#jW{fDz-Udg<_;a
zZo5ZX6_XYdK0ext_@ChO2GX&C;Ft><Aq7=m5@VH&{NgYtW}$vKtb1C&08_s_E@S<d
zeCgN9S)Z8opkq!FWwNeWOY3nJtv$>h#Bn%lcV+8r3(crvNi|*|y!H~O2Th8##ON)n
zTA|A$t6EH5KC_w?x*T+z{^$+sNR#zay64um;+G27!Xe&W-8$c7CoY5}&!}yMbH2_J
ztS_%=g`wp-bu39)*{I(C5Mmg4b*<REqB+FGupCaTJ?bo_M>eqjYF77R28P9n<o~&^
zDOZCU@l=R{g{r{FGxT#`hYn2wB`ersAB)o8?XZOC8=6?ZHaTbZK>aRiW<?}e<a{Zh
zB75X+OOzhc(uxfx*wAZcH&~Aw>ZMhJHP2wbTr?DpqQw1{2)%zBD;y<Jn3qOxm}o_W
zLD0e;wQg_4J{Pp7mr(>=9;UDEU_Ia|$)Uu=Ok-Z6ghJP$(4iv>D<V`>hVC7M9Upfb
zyXAam>mE;OZa25<>+SCAZbg71>joV2myfRQCs_wm?r$FNd~z=q1kk1+97twC5VSDr
zmHSw6!VvW4?U={o@cm^$>(~2P+Z&MP=~z0SQPze+VdyIcTA}T@kiKe=wXvB=9QR)g
zu~s!{oQ+kzWtz32S>KZ3RviCDDMXE$o4Ig;QT3khS-+F%bQU7Q;!zDmI)=`Uvo@y&
zA9}*V^~Uo^KnLmwY;`f95%9e^kwuzW!rlvotxrt1UN94d2JxK<$;;mf`;=P&)=(S)
z_D<$~kAlSrBCL`pPf=kk9!<5vSQyoMq*^bSW`#!}x&eX4kxcMecy-t@%$=ZxYmU{%
z4TGQ!D|E&;hN4P)l;Os?EW&~<MEHX&7GXiN2<y<XMNL}BtmxcJqmZ!Bia<!o6F5TP
zJ>3Y(zvwwa99+aR1=?Km7a#DN3tFuCki}N`TY?tG=*zN>5_IHmNZcDstxHYL%UuL^
zG}S-r3-65$d$r}<Zt0d#Kc0tsHL2}KSgV@tET)II=OgX`XtM{8Kjt0?TJ)g*YU^}^
z)?ch))xj*i(mE?*ssb+AVC`%`!pTk5eK%VXoffQqxz;8o-1n*V9WxhVOR8RehqZ&r
zg2Z~@!(G;!GG)%e2?<XN$I^j$=FOD;>pt!#=*oJz1KdME(<jZzvyL@s5v}8$tH&O)
zB0?`Ri4`mNxiwlgXg09~6RXng^S*cmdcil0{8|R!$5MIDwjJd;8`I5_DqeNsIb%uM
zbplg%ua{@aN`Jw90c}oMpD(#Xf)-PD_M~;VNeh3o`)TVp2F><bPsq0xmyPTz-h}X^
ze`STkA&Lu^eB;+v9JrZg4X48_!Ac1>e0f#BdC}@;(yY*p-7u$yqn2TvdtYKTZPdmN
z^U^mQQFN~ye5Dyzc#jB<(C^IAVYW1xe#^y-d){l}>mJuJ-i*&Zb07VK6^8)O=7gvG
zXvJNtpzrpDUH$tf*4Tn(JERx<Y{k6^(>s6V+66~g;ElJe_syKbpsBxF{b<Q$-w=wr
zfw{kZ2Tzklc0KPN+ip>kZw5%@Tzthh$jIsSz>0H+U}K8C^vi!(;YA8s7~a4?ts^aT
zCm8ogo`<K^DgFtDRZ!Fxqc45JE0|FXmv4DbSwR8D=`EgH#~Z1HU99R?URdu)6c=VI
zM_J$bR@S3s8w@0uB37VAp9Ck#Y9rYFz1ZM*eI_2ZRv=Ps&B^Z&#&u7%AqWj<3QQv}
z8w5tsLSVLd+aSS$7S}X9SUu5Ui<IfcZI}$t>)4U>_^!uVO!Tv12%rP?75+910Wc_M
zjV)X+A85lcm_x$*-&e#IFVo@zT*-N!)V@iJilTG5*FE=g))1}@wAsVPq1;13iyr0{
zvmt^bXn3SJ_l4Qu<|f?p+z#Mz?pO-FkK2Lykz5m?8N50Z#We|9gf{Axu#GWk4)W=z
zOWF_=sWu&lT+fr<;q-Jm!eG`iTvNCkp^LO?)=<51S*{7RDTcY_Z10)0u<Z>i*viW^
zEdpyU9s*yjWa~vkBC*`PE88HzfM$4QZ50~=Xo5x@!cIMh+Z^QI#1TYw?TAebinA>?
z+0ic$i-@Xfv&csFhL;elsPl#m!X}D~A@rzjLy$z!e62y>G_ggK-w(d{qRvfd>O(bc
zIHL+S$5g2MhiEOgjV+XhR0_1~XKLFnnQX3|P<u2*#|1j+ukE$~U9M+?5Q@?p%OG?a
zvESy%X$~up^`mbwy=?;<l!M@M6qYhhyyS*a+J01UsF4lZUSts$DCk`oDu@g8qT+kO
z{^>2-w<deVI$IEBwRBW93YKYVyJ~Vc%&12+x5b!kot}f7VhHK+fdTrwmNwXL(FAUM
z%29r@!%BJYITX4!22Jcru;H{J*m2EddroD=p`$Piut-C6IVk66-?DW41TqJ=v%$X;
z3=UA~ciP+F!4=X3I-1hT1={rJj)m1`+(m!#+Bon7*W*w}<4!hQ3WzcdHE%ohN<x|Z
zK{%IJ%0|$jTbI|G5LN0Ox_OpC#~2WkC@ij{xM#f^;_EoZ`Z_P!O6f<EZHO})ISbcr
zb32EV5=JQj`j35V(8YrN+R9_@QXRhfy_CYK_pD4bb8M89=J2My-(x5x2mHrSM4q^J
zFu(p&k*AK!hKoGWOk79Er+ct%m)WdGyz%q#?>M~m2}27-ab5}B9P~)D{qjmq9UEbw
zS(9Hk)KoCihESfUIpYq5@7M%esD5g+4d%>fE*Nq5ePe70rwAJHz934x1IMjmCtHYq
zf1C{gkiwjVoT2))35BB;5lAekgUbZqyQ+b9!lVS~YI@-cMRWYVAfr$SM0D`>6x(p4
zpE{a6Z?+*W5qi$B!J3LT#XZFASvEwV1fBOGwpYa*TO{Rm!DL*XZTsFRsY9M&a*ZMI
z{Q&BBP~L2q2fr-al~<}KR3Axk-LS$T6|usN7uaxW5CtP2ARd~bDn>!d_&HF~>u1~G
zHx@Roqw!}Z?Ga2fdsdv{OIHI><-|p=3C&ul3$tsij0no;Wf2=4SZq`DWlL=ESwu4;
zSXz6zt*nI_Zp6hKOveOD+w8gEO8b~~D(K4k=2fgt0ZnxpzJ`sEpy7rTA^e<qIjUpF
zRq!8cSsw}x!b?T))jmf>{n|R7J&}mhNL@M;8|c)-H}WPDiFXk+(ET^t;B^VQ-fuXe
z7Cb}eQE~ZK)Z_A8mPwIEn3jxBZ3tE|t)t==CiK#6eaxERFRFB5kF7DQKvT&**u_dt
z6oR|=rkPV5bD%JB>=E_jYEsq5<k@f!Bj|cXaTNICP+=c&_)zI$1uS9KU%u50<@L@H
z)-oddra^Fa>K|h(BWS*#)S+>UnY1`hCwy&tGsoqy>9@YL;S4S^7BYn5A}Fo^J?gX#
zz7DhD6nar&jN&b3Mz4}zIETW&8($6m5p(uZgN^u#_eWvfIvRzL3;N|4M47lmXp)-~
z(BP2^tVu+kf7F|i1h3)2MH`$r!S>sLrTg|f8y;E-TCDF&t(J0y1=Pq1Ux2V+ZwiHG
z>|MH6xSm*wx-S))4uyuT`i~wYUbEr#MWHTx@&k+Vx;rYn-{na98E(pfhaT}A@-vGs
z=s-Q|7j}9W8VAc_zuItRV$dAcGi>?@M-e^mH`^+cBf=z;5+H>BBOF2c(%ZbYqKt4y
zeL9&O${p@d^v!o|2;d3!YXu`|(r`@Z>HFN(QrF@1ZT!Rb9^JX=In_0LXe)vs`%T2S
z20yZOGoaDUKmWAh{L3s3WvXI3>sgO&Ps~K#0z9LzkWXwlvWlF%cXaHXV3X#XsvS<H
zhD^=-d+rd$VI1FL8cY!b;5@aoD3~cg(+!(xRj}IyE!?n2Hf5Mev*OaBxUdTa|D~yl
z9^(ilsQcpjaxVp%T(CV(ih~5Z!EIk}W2bEQQDAnAJUw6sz>d^&eHFw_{;MGDK$w2P
zPuXv>g)6lwfM5D?cAYPs4M@T|k{`aI<$uT5CZt98FREn7^nQI@OTy(IN3)xFZX=f#
z<Dr9wb6;G6kT5i6zeTtLmr>B-s0hyu!x--<t$Rl*TTG5;2gTE}={8^8KU%qIa_|aA
zrL}J=@oYe>=oTCf;bRRiso<Fb*UOt($7aR}Pc$RmFtArfaj^>il)^+ui2h|61zSz9
zMI=qs2t!j;|Ert=e?oA$7dmti&U%7oSAJ(@1&$_@9-V=||MYX9x1JQMU}uSZLPLwT
zUYe98@d|dVV2c<aR0;y8OzSv-9>%+bcVQ~<CASc|SyO3Fd-1(6y<;sUNTTjt@h0Pg
z+DaV(F^wG7l<F!|Wh%Z6M-$KY;Yv_g1C;dJj$85>4R`^z?DPb(jx=Q110APVYpg*0
z1xp+V^WIVr;}x{Hc8(sQ*l2^Lh#wV9ML;{z%jr$ct75ZVZ^FVQGKzh(#!>{A&79|X
zQ$^9QG-GKvRvpJ!d?l|hHK@&p*W*f%-m#V9kI+qR*}R)xkieY*ZHUCqHu!Z-LFyCQ
zDw|DMx1DmslZkJk>b#@;Xwu@^t7b<9UV*4Y+~id0R7fK}t&-m$1)ZM`D^RlwPd(?<
z@nj6nR$(DRAwNC3hjPhG6!%DB$q?gvK2CosHX3J#rb!AMFj0otI@q^OT3lYBV}5#E
zALW{vDB=y}Qk0(zT94|lTsK*`pR?;>0}Gquj_T+rN8WfgUUods*J-1#yW-$lY6xou
z!OmX-=P9(C;-tsE&Tu_8Re`}39DdVCA>A<I7EY(HUS*i_t;yjf)v=_HOd78n5t$jK
z{9w|Uk)nF-_mo*O=~JM{;uN0-bRq|b(3ayMOqo-m$aaoXaCQSU&u&k~vjj1%XH4YD
z5iGv-rbm8G{B^Dm;X|dTv$_%-_H(JazcZXlHOEW2DU-S1f+O6iELl~kuD>%_&zP#<
zT0?MfBkiQ8eokjjkW<m;OjB@+!3-S?Pif%~|2ab`Mq2`$cFO6c2Iy9|f*7UIEZ>&j
zo~^uRlq7MDKX$J2!sH7-ZFQF7uu%237`k|<Qzlz+QJF-HdV4l+AwW}o|Gto=R?tFy
z_aX()H3Tgj;#-SY0Wqz^%YAOL*vHhrS)$-pL}bN794B2_g7^2)%XzRyB72o$8o-I*
z5fernptoMBz`Py&2AV<G7JPd(hB~gox-7p4^>A<%uM42LF3K8Zl1Yn~0!!B_xP}t^
z{D=5P=cYZ#dF^whihgdLg4h9bbU62C%}m01_uj0)*)>?X3NHLbc`=MHK7E;$57}$?
zs3Ei>1S|gRG<y4Ry8@5M$Ua1kVh)}X_EJOi09`?-Qq-BTOUbj)BLxuxd;@nbT|-<(
zPu|Z{o$igOj(CN+`~Xii=s4Z?pfb^9iFYe^^OX?dzp+DCKgV5u8$58)pB+*bnR)Ou
zMb$TduAG*sSxIOjM4swW+2fe8JEaj;fI5nSl`oCGCK@_>f*TUFh_N*IQW<5^i0JxK
zm0YNTf?#I}YKxaPdeKwLe3LDrQ+cNq#GFNO@pu=VJ0X+nhA}wtE#h)C<ZHB^de`&l
z{M)Y;I3}P?dl-H}Nsy>?QMo$#x5VDN@{KZ*;C965qb~CD0-DRa`&;fD(>fdgC_e$K
zTv6bYh+G+KG3)-3&Jap3sz&SUuPM9D@?!Z<T@MP)S>f=fO`%wmL*FYnHi>c^5zs&U
zLGd!{L6z0%#gFiY{UhM!DK`{&ts-aER!<B5Tv7KR2z%9E*enRPc%*jhdQhZjrtM7_
zk|8A^W6gh6_Ly04%(K(nr4Sr+G?KDQf!+I-g6nEg0|r)>)~$q1Y1SH?hj)~PuXK{o
z$tY$!_56EEN3)D@mae68m1Xb>uEzuAh*{>@9PBG0G0Y)we5paSGlG`YLFEe{DhOa2
z&9b}}=E+%wW4-A3x<3`XwiH>!=J@-ua^EcSvem?rP+f6Pl{F?uyo9^^Ou==jDCtph
zQS@}R!+Xaj75b}?p<~;7Xhb$}hgQlNpf9$nxJ)v-#?ce(JacrVRrR5#9eyL%%u5|-
zp-Ewobv$94Ne7}mA>+%wDmE2pQ`U?7sgQL+3t6A(uR@#zy<!i(W{%+_%2!l%>WP8s
zCnkrFkQCX|m|Ma2(-VSJ*g7t#<Mf7uqNqcJ^fT&V1X=4HCF#Oe%<$)-Dr8Ks`38Vq
z{0U9ZVn|t`_(PZ1uEU<?|9~BQzqpE%n8^4aEecuGA&an+A`fmsRQ*My3c(jNJgS%d
z_ahcO9qY#@2Oj>5S`dTub!ySVG5S%ja!yr;^d*>8@D%8n0<487^Y8vT^{8?x4#0xV
z$4Py01<ynf&S!X2w+-`@mg}fQ1;sJ?pDU?|32}BEKIT=kV&U5I9^pA~(w?mjobx&R
z=y(;%{@W9H283_&H>R97)aDd@*7FQVev_9Iw7HxOtMhU)t!LFxp_T+o+-B6SrQ(uZ
z(0tq`(OO&uXKfvFf5PO5R}NUOgEAGkJSQ0Z-oPwcKM2;ZM<Z?y(6oMw8*_7l7S_+}
zZFQJQr!D8rQxTisKob?`g{yxdB%Qd;s{!3zj;~aCegq+uMmEQYwme3Jx}Z7N4rtaM
z*^+A)w5UC^l{(bJXUipICf{52(d)KWVV(v(^hCY!n+h|j#v|0(J(24KH0%7Z9oH#n
zQK$VKHO-`9gpKX4<L|7&4WIHcuII$hC*bE822<Qx&oxs)C$1B;Iq8vIxK2TfJ(Ss1
z9c$7a`416)tBndiRm$jT-BqYBkzK@Mcq7RMjYCPK$eEMlD5}Fs;(_C5=Wvq3FF=f?
zTjxC|sgixwV2SBCy?+W%IiPuNh2{tme+MpY4?=0h`m0MlT>gs1nE@)kcOr5Nw;l>I
zQqLHq;)unG;^zMJPQ|DJ=}y|c4rXEY5EZ((u$YcwI4J$QL{ywJhz3uF+}ek$@FheE
z@q`2oN7B7`r=RW~sctg6gzZ(D6a8~)Ijyw+B(9Y2?nB`vqg5O}L}AY^jqv0PqF(cn
z<=hw*W{k7wxS7GBN8}c_Ty-X@2p$L)&SsDc!4fwS^(L#!JmcW=lKp*kf`vYAi97Ru
z|ENZHN^0Y|IA1Z7mmIXY<X30$k_%cadBSWJZl9pVpzufd!s+~0*vXhV>IWXqJ`5L}
z2ugj!>1zx%b{_9NQSizEldUJrS7FFSB9vHZ9cBJDX?_sEE>@&b(Uxq?#es$DWQ1m>
z;nauQ<mogC5Acjvf?Yn~Zi6<vO&@Z%1ueR5Tf)*WXmP^{6MWXBMQ9AVEQAuPJ4?~C
z0chy(a#lt=A9%Kz=eI=$)8s#}*V=xJ)?{BR9h@gu)aR^1TllH0$>nUZ`jge_NM`B7
z)~bJqJa=o^Lv^TMXqqQ=`I2*^no0Q$J$5Q-6Zagn+4H5Fx#xlwJ@?5)g$6BN)-Bq~
zx>WF4>*~<Dhh=(L4ReCuIBAfhL&=<O;F*`fI@b=`tbP4wT)Ut}?V-EX(FUz!IdRRy
zEFHTOH(~-}txA{>E0kqGzSS#DXO60&`rXe}yyg@YzO)(ev`golz%QxvJmWBzUpc1k
zH1n~NCMf9;imvS}ZS10wCwRj5kTn&*&oYLVF0#hxOHOj%>n--&S$=nl`wluzZ+?aq
zk6_`kgsOj+ufo+AG`i+XU*tQ=zj7)na!$pmNU%j9>*?3(5t&A}_UL_l(Jz$}+Cc9g
zzR3Cp&~!TO->KtF+T+J4w6PB4WXmnc$@xp_Hj~Y#F>PlLTt3uuIw<N7?1*z$)VU@%
zzns;+cHA{w>WI48M<V!0inh0hlS`DOxl`d`fA_tLlY)_j-J6sj)vYpBPJmH-`O7rR
ze^!T5UOSIvjQ@qF3ADMysW*9=1TB{M%C9_Eg2oE^iWXOV?I=o{FR5kqyjv<_OFddb
z^@iS6CsAB0oXvLM6*Ae{^F5Hi?g^P}4K3X7cXc?#k6El}s7!rl6&<5pVJ325kmjyK
zK;$aEPbC{USu%8ZKcCC=I0mN!&+q6Az;{+~{`vd~H<wWkX9967k)LsMpyTwk=e%zP
ziyx@!k6)-IW%_X$q}?ss2hr)}i1rk-*s*9sKSFe;r`0}Pz(5j$@yupN!~?8AioJs9
z!wc08gC}UA2P%5o%bGNtIlDgCVTaxne7ts1>Cq)eS-qv7eXCiCh}j`A-uTwry8(8*
z85h}wm1)}8Sy}H{#QwHXhrT`7zR$zwD2_YCj$nw$FJcxquE6>&E@p>ADH28XB5_@q
z-EDS61iX4h+Hc78_CpLDzcbW=o|mxWfrRW40{r9&PoeA)f=^1>c?y{pLQu4{eVRe*
zxRMCOLj|z(v*qmd4anc7QuT5b?JZ5#`<3l~$n>BAF2y~+W;C8s-@?8Sud*}axjoQk
zOzVrP+#YDNy_#>>Cz`Z4DxQARj;N8~3lCSRZLdd>mthCRw+AcM<auPa4m*fLWL79g
zRr#mG@RLa~lw1#^&5Q7O1*ht9>!1Vmd-d&I3}_5=Y(x8ClNK*5pEu$a5Lr*XWxr=a
zJm|2<B9(B^wd=Q<*>#x)e1k^u!%QWpS}U{{d&$$@@>VQhpv}?!m|!1o(hV-)dVXvh
zJDhF7UtvYSBPr4Tmr1h}>1pllR$1_c-w{2;j!oYJ9%F6?`v8MMu;_OBYna_vZ_vpO
zpF`A^?u#2ePNcgxajLkx2JxeQUF?YG2{v}1oqT&6Y<wlNtKCNanaDG(n;o8k$b*MA
z=s*uULK%e}By`X>=N4kel?LL4T!&uv<*(GJqei2<#q<h&?YPzv1;rb$+*Nib3gWra
z6C6?xbU<56`q^8VS$GfZ9B9X_oG2l_vHG{mjwf(Ti?>7=JH7>N^n~repTjU0{%xF5
zRM5t0*0?Oy-q6US-y2pq5V0RIlX#%r)``clJQqPD?fcEf#CzM{M%i)f6t&|z#hkjt
zb_fZGf$C%IOU&%zA=BV-_7^6Nx0+^WkUhef#k>i2Xk)HT#~#Fe=IFAp-=5#=s+Kbq
zLUOf&$B+-6%0da+V`|^$Eg@*b)K0g<ln7cJpEk^}Bcdy4=w+2|?!wSk{Nbob8Hw;1
z9?!Dl@F>{g%oKaX!%i4t57A3x+WBen|FQMmfi++6|GhWKP40M~n;0=es4XJ)CRVFr
zma4r|Ttbv8ir8F&sPWih?^(R<S+!ROtr@g-mJU_K@AaJXzBjp_@9&>`?laDF_Bqda
z&Uv2)sp+u2T!rQNW2|9#JnS1f+$^w!etRzGrfUoir&6Zb3hRaD1=W*qls<ia&;&(-
z4L^`dFAA!ycU>5?Tj6wQ@;G*rF>~bWA4i28{cF<_ZWiXzXDti52KGEK;K*k$@L<^}
zs*@K699J@D0e_7h$;MS&Arh85lF&7r4+-=4c{=(Q=4uJ!9!L;%K7$goi(=aO8H}e<
zZ*d@oR>v+_^1$2^q~G1hnN>2oS*>(-TTo%Tygn#r2OYeHyOT<X@B5tD7If2)Ax%FA
zcLc#aDe2O7@!PJTeYhQ59ry1xo2pTjy=dmzH9dQxm3z5VfGg;C_Hlvm*O(S!_VXkw
zVXiqHE&7*&bxe9#XCw(4h|w`qJ{Ohgcp7e7s6l%)=ocfpJm!%@13V4YIQ!{1FDp`n
z9Me&!f*u*{@}veG1oOJ2Uu_K2Z<jMcM_@#0kG&lpiwmQ*=TVL_9X#a-zQA)DU?cON
zT?`syz_9b@qT8J?KiMt^!Ez;;-Zxdq2pU@lH&{wt4Z=oAQgHqt*&P&6-<nrn|0A!K
zl7f>8bU%L_&n^28Y9;*~v`|rWOq-}0$;2jk+E&OKN^`RCt<vaUc}PnN27eGGzYNN|
zV5KcgpM2As7pMYZ)FuE|pXJHS^xHuPjVN-??{YT?rw>X5e-hLwB`Dp1<s>pV%WCIr
z*(s_Uwqx<*h0xs(c+!<|_*g?9@;fgU5=LIb^x2PseluWMJu>?CK**@*#D}E2p9H~}
zCfVh}zBvTtaRzA?edV(t7*!-iW_xfDvfVT{$9cg^lcY$IQC2OlzA=qQmPF!s3T<P>
z9V<N}=!${lI?+)lZwy$f9dp{CK*2pkC>3dfn=e(b;<)PNU!LmHkuDTZDU;PR{ocPk
zze||Q24j#7?@!o~ui)aySJWF`U?drfl8vGoqQj=xwW4~hcRcze1?wD|){c9VL$ZP_
zdYkt_P{1X{Qx@lf1T5dKGSD-InXEn~<;v50_*rk{j3R4vnFdOHfc2I^kz48vhs|iO
ztIf3hbT|^3ToY*3Jz2?X4Wpw`wosfATRq)X*7fq<!b+bvWOlpNXayZ>DlEM+tGs3`
ztmP4|)vy)Ue{))MHl&V*^z<d}TZFz9svpg5#eRZC=;-`VY@{@K9EN@qO7$Dq3h6iU
z`DUh7Lt8=pRsrh)gIyj)q2IqSU~g}yp0UDChaypNe}q}F2uSIwrDAcsl~UCDvw`$2
z0OAGGj#wO6Zu<mf4k&Jg0Z!%;1M#jA1?O>rdXrLCtR75~3dynd=sykmVUmrmA7Ilv
zm9cvIx?C2+8lZ|m4p&2eS~+V~qXOj#-p>(M%v&;(a=^DPWyOrvAE!8abIcS^Bdw}y
z<Wa9tq(xZ+{itDUELV8CvMkN2YHdbwZE-duHOtpkt(ac{SI}!zw_<+9Ut@||R|C(`
z7%)GVAiF&~rl%|Yan^##DwjU87T(TOJklr`(;G$e@I>gCyI}H^BE5Czp*nQTU$9Xy
zRfqb3-LU%GkSkCA#l(tR_wq01Ll|TDFL@eXCKRIU&8(-5EO^?~##sp2u&X(G-gi%-
zMBu5;I69u;(H(ZRv|=&_Y?Sn$R@U(zm`^ZKQtZ+sU9QPA#)^jq3TXwX^(<>i{lTYJ
z98oY?>R4z_n588*F46?i;%<1o^HP%4_@b!A=R6i9nRPn7Vkax^t4UZ+^5X|$JDS`X
zt7-p*n6=k-;nC=orbF6dgPkXVd2M=PcK8r;{P;L*e4G7?Gvg^et=o(!(nf(s_*O;H
z)B9SnYDsBw)k^!qx>S)oJrVX`mbP=hwUqwH04uBp%&p_<(>fzr?<DR?TU&U_T0mbr
z7|+5Q8RZ+o1LCbqj2PZ&#1o^C-h7x9=an)e@`ePeG>o==Bg!uvgif3Al@*Jvq<V*d
zC$5b$z7&EWAVkkU(h7^B<iomdqa|akg(&GaYfZiSXlpYiL5G_DpTPuOEr`bM=VcLv
z)Q^wzlwMtHm_ET;%%48php~azTWe73sTdo{-+RW!p{YDJ02?ai>uEedBrH|Ter{`m
z0i&masjOC+61JleTg|j?Q54-i%UZ##B6&s#s{AVvrJh7sH-`s5%hZ$RT5B7e+4<gC
zMk`NUJ6Q|s_2%;=B2!m2IM-TV_8T4j29u(sKt@v<ztdV?zp=;)6Hnj(kI}{RC~YJ?
zU5ZlvGXUn7&z4znI*7l9`DM{^YYP)i{SOzM@MvunJpK#L?QcD|oL;Wv`T$%(k6Oi5
zfxr0PY_)Z<`b+Y1iySQDD`1+~8L5Tp{nqlFDmiPex85*QAv3I^cnS9_iuCuGLGx{9
z$$*WT{%i}22OOoJ+G_pUAbA$w+!S3A?|nF<v|Ku>8*7k^=^1>vvdMI{h*n7Uuq`{e
zIu^`Cb>Ohz7`YNr{wjMoS^PCr=AnBzS%&rF`>bmW63+FkIy#XPhpkLne$e{dOtX4H
zlsrSlYrVtC-5c^29A$a<YsmZQ7|WBeRKXjbuwqZ5==}T*Gy^*&-xRq?3>Bez&?#QG
zCAsy-xMzF!dn-<sKc5&hf}a4cLZ6*QbIfsjD(%EsP7Sb8Y46W*Y7&;+GwuS<Y7)jK
zBZwA_K_5-}MpU3rhM|vkykx~5gvom0E7k{QI#|HiRCt~lj-=H;BE|UyvAYmIaboxj
zh2>{!XZ2UTU2yOh>sSNE;Y^U;<_3>HW~DZSTN<)M1dqWO?oka297eN7sRykQ`q|&O
zO-4-ibWwb)P>1f{Mv|XQL2b6Y!%5<=QJXXGa`_}IYxDIzD>gI|mak%9+QTP<!!fet
zT=Dq66~;nIo~`>E*#NnsO1#+bocQAZ@R0-zA79c=;aMFPJmz!(8}<6r6HXVf`r4x5
zGwTq83?(7gyyMXhJ>|I-dz#iOU^v9v%Oz-38VWIEoyT1CN18Q{iQ!z7b-`9dFPp&<
zB`jNtGOZ&NtV0VeX{Pn}Aqj6cm!VsKLsHLFkED<P;k*Gh@;2oaOOmjZ^yj};81N*l
z^yVf|a<Lo039CeUX69o0xVNkiN~AQJKudq+k>p+NuZ|P>DHS`4y<2QhIwZG8NyTg8
z-Yvn;X4^qU*0D%=<Y4j1g|95MP#TgFlvjUbv0>SiGUP`u8~km>vbO|;EdlO<TWz@E
zBY8Xvf#k8#oZmstZ?|DGkz_834pkLhO~Pzppax|ilD7#uwh7QJB*oA?ipdQEVS^B&
ze-dJYUMQ*A#o?`jj;+Gw|B+adlDb3F+mwcg1M=FA8)PgqvUCNRY|-QL*?ux8o_PwJ
zgr-`-g_Cew2&#ODP6fPqlGYt)0$vuJdwcg1Ckxpyr~Oav<gOv*AE?9E!fa57C0Uv(
zu%=5fRn^r*Tewdh5$dQ|_MSt>p2O4bY?9qq!iF1$Qkb+Q%PEPoO;<kBoO;JnKGmV4
zg8y%YV{1`ZpHt48>FlQ9{RLrv5uztY*q{Z;ba*>WvhjI;p<{n>)}TNOR2@dg{^FW}
z%x<9U{l&w|9%<61B89bS?s+33S2f!S71^WY$oj!+IW=rI4XNBI_SLds(<$?WUR#E+
z&nTcbu4B^;q&GWsB(F78Z(h&S$%*@>4n5t|(>aeiHg1_lOpnS`j5ik+I#&qu?XbqS
zqXs#<gT&8(^(#CU*YD&uYkE_kw$polY{TtX&S7>*5T&$^9S5#IULNY1I`O)DFWUVj
zX3b(PZFx<mESg){jzip5w&4s^+TfR;EFEomb!!_G&y=N~Xlu)FHfQ<K(6pd}WbJ6f
zE&n!XtgwyP%9LntJH^p<J%@S~)*ZC;e?m2Cvl+Ci9WZn_BA!_(s3YP-=Darz*Q1a?
zD2-i!RH8cDPRewr`{mc|U2Xq(r0J0M!W&(sJ7gA$e`P6Tx9VwYU^b-b>w9Cm;JiZy
z0VqJJi?F}^W<MDB^~Ep*t>-YvpYw$ckFOv{A!VR*#}jtf+j{eMxt|S_7baajt-tLw
zvyc16R#egM9fgU*JkWNA(fm%!!l8H`KkT^8L9I6<M!`5V7R#KQ8!|WbM!}*_LU8yg
z5W|OL$J;j)od7cKzsKoZ@G#qO&Oc|1kS#pf)dBW|BVXBmHj*z%4L(Pozw)*1B4ZMY
z+4IxFZ?Jv6GRn3c7#&&EvfE`qN3Dp`6R(fWQQ{p5wmF;*9>K}2c6kFQ+FJTijb~~#
zvr^Pl+W@jX$KmObsWz+__-m}9Z>HI>Vn|r7q66IMA_g6&X7u?2TS-DM$)#7AX<KJd
zq=E3>23s&4>x}8V=c~~Cl!oO^uRV*0nv^DA@IvfTIXY5@Ip|1=EN^S=_?0i}FF-3~
zcc>9_c`jxVI_~{tc~Y!wv+JD~@NA=`m$AZ9L1^j!uehl0SXQqt<|#<BLsBGh$I{WU
zFj98S;{y(Mu94Hp0S^CH*qTw&d>q1cUCH$nMV>>rCCOY*fTQ%F)wa<FNiJNTQdlW`
zGi(@_*4Uu7$(Vdqh-)yIDIZdFn|%3o)Dt%3l8jw~jgk(dAE6Fp>=IP5CpIP+b(okW
zk2GZlZ?@q+xfdqDRVcb`K8=noMy=1^%C#=Za!WaQyKO&S39JX(qde<_!-jC&^+D0<
zf9x?pmfp?f18isxvEOm|BrG+DpZ3^B8ZhQP8~u0ER-BGu9O+B<*`VM{PPyo|+;4kt
zz;dR4b<$Q!pLx)REwg0eQtBvW2p(wU<Z#Lsq#rtJ!||kqv+FSHBzi*jpbJ02GbHoq
z87FPnyZ`^#?-usdLWk2lS*j#>K8`$N+k$H?BXNcXKNW+h_84f6(#Y}ac^mXEz_8w5
zuys{`)dALwOSW+aEENt2!K<nLv=W3-8=`l+!X21n5)4^3z3w#|49lT?uw(S}rU>%?
z88uxo&a-Wd|CwtVuu;?7f8m;zu&n9AH@G`VSRUD+JEa(~yim3Arp<wK5RNa^1hg)`
zTwf|8_T90;9w-U09N1{nGEtSTBp{nL?%ANsPM(Hr;k=|awSIsc9ZU4&=+Fbs5nv-n
zuOD)bBrJ2(?++Vx3KHh-x9_p-PXpwQsIEP=6~WaqMAxzF{!slTdCEL0)%HCew%der
zQuzGnL$$YKt;fr~B~WSD2&)6;p)WZ(3CrZ}{b?JlV7<rR+=fir0J9G4=^P2GDLy!U
zZF_4(k}t(}f5RP2(!2WE3s87G9?Jdt9V=ZD$zK;xjaQiWM<t6~`n2~p7?{26dV<N0
z-7~{FqT|qc&K_(-2UzSqY3DxAjw;n+M?V2<*o7(u+3QF+k3QaNujxmFdSGh|A0~t7
z>KC3}v98&3<23#YY=v(Ndl&Urb*_HF_Gt><m&=afz)V=k3sCwh5w7DtD-<8bk-WuU
zFVv0`Dhb1=t?AME?GFu@wH3W?K|Ah-oGpp|4ZkTvX=N!a_r1b6b^HyXf&T;)(bp8Q
zqpl?^r}vO>dz^xGT#Wz6Aj!vASA1wMXQtJwP^22A?ENWtFFpX+S;}6@#D8-UzGMp1
z1In;G3Cp${R@VNd0po4oKs~FR{hk5KOuvn=;{@}g_b|F4lhTJvEWV)k%tFCYoL#_%
z_)jabcnM4K$1B^h6Ou4yp+LQLReQLZ{BA)UX12k!{H|x07GHxU0X8J<uE~-BN9p0U
z?c)?l-&x0w6+?2d(xqRlXUF(`J;I|m;R%G|G&$OiOFUnrHZ!8R1K_V=5UJXTI{?FY
z?#6!9Oie4Hw&cjq>2D?<-TMe4!rOTIM9jyWIl#H}_-1yOiOzqD6k#p+j+VDWI**&n
z%(wHTQ?7*_hL`<QY{p~ba8(md{;eRh;yh#PNAa!fKhUlgp7-D3!)7A2i8pQ@QS&yS
zHZ|iawS297Tw8l@+L7BhQ78XTLH($h=P`7+xe24s+CluWGDhF06YaoKd9~-cbNIh0
zMTI^COV72&G(yup1Ivh_enuK_jPoUBlrox@+I|jdy$ozzrHh;;9T7L`wI}zMPWFAK
zsrr#l_D*K%wK~9%A)V5!=?d24TZ}vF<m?7P%Z8!CWKrN!r#6l44wkQn+e^TsC8+t&
zdx`=#J5wn-#Z!tiJwc5=;;Du=z3j88-cfu<wyie^p^q^^!u8Hb(w@K(*0{dN(@8>}
z^64#N?U-)*)bzxZ8T+LlQXNnmwTK5D@=&Ax_S5uVfG1<{(o>7J4*<&`tFh8hK^LdL
z$Wx1O--FwJD?Jr>c_66e#$uV4j(o!75I1VNrvek>kezLM<H7cexH)>;)6g;}%i_V>
z{jR6AgN8!Tvc;a3sQaaT1f5yo5p?}aP>1!wJb@?Zp<xV1+|GSbcT0!c_c^4ehXc7j
z_@LYTR`W8O)zIgEWsfycmk3yYWQEHFr+&@liZn(Wz5E&?8%Cr0;5P{V2pf5pmQADV
z!MIJ+2y4TI(RLU{<lh!!>`*4;-|J&}0^+~)S%N*q^iHon-i~X9#a_XUl}xJ1Bqa6M
zE0|4oPC_cdZ86T_geZ(mQ$R>*i;Txj0pZktNFF|ka?zftASAy*6NXQ->!yqPuhZ<X
zA4g{)7m+jU{Y(_v)jo@gCxY#HSHz#4XumD}7sZ&R^P-pl>A5JzPr5Av#6F8+OwwTy
zf|UwlS4Du>PZ0ukQiK3*3^+KZ0`^S=i2V}9IHXe|K<tqS0lOnYz`lqO+++VeG5*pG
z5z=KJL<rac5%R>|hY+yqAt2fBP)tebbSTCu9S+3=NpC|jcIj#eNcJ-n6DXYw#aN_=
zAryk$3&jZOTL?6EEQIvfs}O=j_Fn^5b|?haD+<e=gkplF8zDqwA3~t91EH9P(tA)$
zsB|5KqOso~u&~o0u&~D<AlY3IWU{XyK<p?8Ib<h6K(dD*q|5Gs5WqK30*CAw2m!kV
zLhzD<8qy(9Oi}3#2>E7LKnT9&z%HEt#W<x0Ak@q*Mp~rnpP2m8?+?;tr$4BmYbpY}
z`#}!b*AF<^(GMz?z5FB~#%>04Ne4e5zGlcDu6<;{ZhZi;Pan|sau6)N`9L<i@_|tH
z<AZ>m_#j{pJ~1}wz6TN5cMr17j(Z@5z4ibpn8jbZ>xoGa(pe99*i#RP?4}10`{;=&
zARY7oV(&Z%*fkGivtJ$r?35>_iuA~X@@6uWU%KJ}js5VTgzSU|d14Pd2-y7&0`|Rw
zfF19|1SCkeI{?||4gz+#gS@e~9R%!ZC#D?x+4&%*ko2*Gl-R)zIvab}0mQC#5Rd)p
zAcu=pz#etbOb0mdlfHCNUF=8)oa{vh!QUMCEB`qF*?A6F*>eu^&2DoLu+JO}5_Xt_
zfW74)U{^T^*iQ}uc9MgDJ>(!@_c#dHHx2^!i-Ulj;vis;I0)Ds4g&UtgW%tfRLE{{
z0J0Ap1nd9@0ndpD*!2wp_IrbjveO$t?C=Hwd%HnKXVS*G_Qqy>44gXG-poA9j}}!m
zH_pQ&x7++Ou3rkk6V7$~#Jc{X+27jB!w>DjZ|$Y>@<?Nb$<@Fx1wXMEXY}{C_Hw2N
z6h041*Gu|%p1oL}pA1IZP%zr@6YEN+F`$^P(F*XH-}=!H^X%cKz4RE^1nze%_`e0<
ze}kV`+1(hGdnr(P_$M!ZVr5Tbe8)9Fb>g4S{L=+Lv9gabam{X^*7DCf{#nmI8}Jh=
z`yF%iKLFGK{&5}n0NxgnwJh2+A4NDoR}tjl7G}oPDd1UypIFyavMm6^NvgEKp07B!
z0W<XZ9SpJfiIpwTZN4iDKrb`^T^VmLWV%RG7udTeup2q}8qOu%0n0f$$+g`F+TjE3
z^nrHyK)ZdQ?|h&=KG0qdlpvGe=K&?8`#}4Bpt5Lw_$`)`dXlTW4^+Vis^|k%@`0*&
zAxzv!u4-P8p&C9=Egz_k4^+<wYTyHLXXT7?=S`BmHXGU-u4q_`5<uLS4Fb}Ap#473
z0Uzj~4|K=}s#`%N!OK>XtDX;3KL?bM<Z6%uOmap0Kn;B$9$#Dv9&br<pk+hrn<yGD
za7nHWKF~%VXj4uo!L>Oj=-T1~ZS{e^{!AsoYhjXWqz^R82O8}Ied7a-@qrQ^^-)53
zxlD3B_JN-GKu>+3XFd>5C|nmj!6eC<B^z2kQqkCxUXp8t541AD2Tb;XR{1~`$0#wp
z6eqc&e4t7`P-P#eiVsxP2Qp1U|L2_Y8lL1bPs$1T`9S_YP=F7#c$SLC>w1!Fi4U~Y
z2U_L>EuV${&&jKZJj*h~vu=`{ZnGhtZW&_dd`WWN&4zda&W3mbW{8*mBsmjjLp&vC
zLp(PpWP?08GsFr(lANWpA)c<YA)dFhA)dgqA)de)VnrfJ&g9t;rt}=Nfea;hSqJ$L
z<9wjOKF|;!DBcH}e?=w1x<-;~fe*CM2O<e2l#yyll53F<aj_57^_CLKib#^Hn-A38
z2kPMi_4I*y`9QpWp=J`K%912kGOj3I-jZCaAE*RbA3;<2K<j;=jXuz3A84x&wDh5p
z$qG!8Yq<d>C~&0@k(W-+3@@cgat+OfcoAiYwVEW?-+w5GwVEW?D<9~!5A?<dN`9o`
zUF3}m%Ig6owAKe&?*nc0fj0X<TYaGIKG04dXtx*AIQcyuP`|(2KHe0z64^+!4084T
zvQo|YF#*%&Ct8}dYuBQ3<@wmX(YTfN0tU;#!9%`|sy;u)$t>++V%k-Tk}P{x+M`-X
z-?6K?L|z(K+zw#mE(~ZxDx-PR<w3V--sDrH%xK;du`(BxY`<RFf*}n(hCSpWV9^Mc
ztKggpSe*fqOMu{}UUQYbwZGhD0(_>h3si7S1)EgByG*eBpaRZ2Al_vn;9VwydkSJ-
zw}5z)iGVkm2xh53r_6QsPfUO5b=KR1f=zeyCj0EY157)pSbltH5P8+^fWv#-O+AV)
z!=D_opEH}D()cL6yTv5BddwcC|8o@Y4V&Nl>2as*`vXk3sMt9pD!bz;t`9k9ujXg^
zg}U6dm!_+i?BV*0i)_n$G!x&_-??nBW`bH=Zn#zmZ(rG~Sxg)BzSr&l_?gz}h*8yK
zx=%^B?9WVz)anf6W~IPWad=a|eEO-|c3d$lJ6sd`z<c(uO{OdKFvXr_nxQ|qZ|@jj
zIz!`!BBSr_<E6XqkL@u5=70S3EiYh}Fr$4MwAKph)zj=Ri<s_Gk#KzAQNKlqQ}3)f
zez2Lo*HQepf#&@FdeLyldy8qdUbM6WJ|K_E!t0yMI7S7TxA^HLD>+)5P3sA@S4dB)
z;)n|{J<zjiI{xvau?<l?b3Mldv)Rv|u3felq?HXEw<xfVCTM!J<8RXhRmn#iIh^x$
zb_k`T4IRImGH6XBM~3MVIj^F$I~qH#m|p4$O&oa&nD*1<w~j*kj&6?F+-9>sl^>2G
zL=ANWm`x8Adyx@%_8!kkIrTxq91G2+Zwc8hqyt^c-<<46JC@?J6UmgE9FSZ8cC=%2
zp!p|1sz1?D)3i&Lg7CCXUVXzv#|)Eck6wAQV^5$dU4J~&k>qDuq&O}w;x`I@$}RK_
za~!kG*ovV33h8aWb#(F%<Q+G(c`CNl5kYP8<71J2OC2TEzn1$Q4!t2chMG)P{kuhu
z{$|s4IJ9@n#WqGq-mcqCyJ_1#M{WK121j0-X%#nlW%)RQ9=w~`Uvn=iM92Z&Bq)zN
z*SYpXxcv8ak7K3jvg(|Q&hIWH-N<97`+FT1OjmVCE^IPA&mkh^R&ZWDWWS@O85^jp
zmm&G+X-Ak&2OT2NG(|B2gU?{A<aO$4CmehHD6}-%Z&nm~9Vm0;=ccXCIIfvY<8^fW
zUrpu@{Pj2I9k~Nc-|1+>2(#(5UiU{wRkLZMKJ;ftIg^Q~TXl3yu15XHFAmLY5){_k
zz))(75C{Ex!!gtJMxXqv<9GnAM~~4zz3YHS%v}Cd<fWsaKIDM|Pf&b58sBG>4@W;s
z`Q3po5$sQcze1mIK6Yq!(~o-CONa0?uQA&F>059|Ees0QWB+zsGn;e!>oxy%Ebuo?
z($TN-1(<*J(;u6(?{b?`WrNbi2wVZE7>fHd7xQXM{mq$vRHU~SMpq(m7i2*}ZGwYd
zpGV>)N^7$MOh;&Ugf`T)oxX`iXJ}AC+hj6N_ah9rf-Fg1)5Bw`6}6rw(_|fUNC~s~
ztjd~xyt1~^WSXbOgJj0dG~Dm5svS0&rs=4zUrnYz_3AY>i`leQc50TXQPNo4){d{O
zk!ijf?Z7(bMMVcv^*UO-8Ll09kf@TRG{M>GjXK&FxpA^yzqPi<YPz9%uIQxQ_ouJt
zpe*mYX+`~M^liJ)%k>7<bV11l3;ezH(_WZTD5INJT(8$(!vI@MsN=$VhD*!kM^7Tr
zPQin<Dt_4eHW{kbG0oL61#L2$p6Hn08ktNB^|-Gze-q`pYA;N)MreD?hh&`=)VqDH
z)i9aeezb6;*2<Jde~i@P%uauLG*T-|_YRo?zO7@YS);Tn32Yp}{QXGH-)tNK#KsW>
zY#c!_Q3b4w0Ak|^0yd5yVB-h^HjW@*WdZ>kM-Z@a1i`;5Q2TOe8v&ASBM5#gr-*DE
z0my0u0yd5yVB-h^HjW^eNdrb}Eu^8<Etf#ITmjv30dz|vt6T2h-E#GFOK0$Ix%9c^
z%IB8mRkyURx~1cHx3sOg<)Y`7mQ}Z0^4xO8bIS$KEsd&fx!k#3zb7CwZn@gI<<{0M
z*X-%ip6Zrs`*dkdoi2^3Zn><xr73l~w4}PFA=NGIsBURSbxSL%Tl!^pOB1SFT2S3`
zo9UMJQ@1pqx}gYQzv7nGQ@1ppx~1*ZE!70Kw4A!7;nXedrfz9AbxW(MTN+K>(q`(G
z?$q7VVCt6kQnxghx}~+$EsdpaX)AS0Q>j~8O5MD>OF;6wWF730zr3k)ODm~c8cE&K
zCAwRhNZryx>Xw@;w=|EsrFGOTjiYX98+A*M=Wb~kb<2H_TiQk4(k$whR#CS!in^su
zG{G%xqHeiKa!ZS-TN*^&(jMxT8zi?hhPtIK)GbY+Zn+(DOGBtz+CkmY4C<CvP`BLk
zxTOu$Eq5+%X#sUh1E^ctKi$&&=}wU5Pq(ywx~1{cElr<pY58<Z!>3!?J>Amm>6Y6I
zw={aXrOneVO`dLP@pMarr(4=P-O_=$TUtBa(%9*iwobP+b-Jac)2$4hZn;fxOEafi
zS~=a)$my2D*ey+*ZaIkEatyoW5Oz!RrdtkRw;aE2Iegu6^t$EXb<45qmP6MqN3L7$
z0^D-kx?KgzVcfc<^6!=wO}8AgZaHM#a>TmjfOTWMb{wa*H|ex(oL0;97d;-QwM9@X
zLHp8lhqfkY-2mCfYn?4H1Hmgg6`O?j*prvxO55V2_yhzVa0^qBnVP2PixoY7xrTej
z<F%5MOqv4{!Y63m5hP5|>LNHiL2Cn*Qk$qX0Mv4#)<nhLNGVhBI{(&*S~-Q-;zbl;
zx40~+@FcA<f}WGKXauV!X`fo2a?YyJtZDFx1DCk|RCcl_KRQ*KsZ~_&Z=({lAVirv
zSsM}fo})B)O38VkPApr7o9a<hJh?cc5}h+eivjzsDOwK%b*5@PRGxlNMXWUeYd75L
z7Li3%q;ratdzw}XQEE@qT0*CuJ`Ib&Uvy!b)?9J@sN_dY*UAImb-LCB!K&$6eFQ1f
zwRV<YICHV&OhkF$*fxmb+*+WDdzVwFNSoZ6Qz7oFBwH8Z204ZX={e4vAD=eJqKX;X
zK&a-UXJ{QD``QexGlGbjS|=4ZRmEL7Q!5!LTQ}ngHLNQ_=ap(8olH{JOlTBK$d;%@
zs~CT(>I~Q6O*l9iY22Z8iP}g6MP_LuEq6HMA5g<J=ps93X}uK!pB^zHVz$-`jI(EJ
zV-VQqXw6YM9p-3l0_9#S_fxt*1#CqMqa?q5i*AtZ6jn^v0u@)N!4;OI)wRfY1(fsx
z3%NOt+6xA`mj3y{2iU;T&Lr8(OmnrifwGH~G9t&#MZbGW+vaMW6d@v;P(_Q29o}oc
zA>=9b`c~_xI#^|u(6bpx$m^Yzw0US6DZQqm$1egs`d2gF`#}X^heTh_)24IycAhp_
zb-boVdQ0bPu?o}7z!X}b#ad+Nj8Wp20Kt(>3o%M>QHO<EoJDRzJ1Tn0YK%0G15}|%
zT@>k4LVMq$ZKSosM$EKG`%Lw${@#o>Qiy>Had8nk<P!RKk@gXS28%INSJ0Tnh`oZY
zF4l$zZs6u!^_1Fti9u6t1_q6E4H_Td7fP*{Yk}a~wM6S3$ktrf#HSR#2%mw!nd0HQ
z%1%JFRg!P$QteZ)f4@}w!nBUcFGJy0(D-HAAaf#II4slpTcnWLMpl<=jTK_9LTq=S
zlZ;r7noe7;2}FIj9P)mqHY+g5WK3elD1xugJPNUdqLyhDD0nRt$oNihl5uARa&m=g
zuhc#_ZJ=*gYEvz;fNNC}AO2?V>FG-wXi2g*T9G#^a`Z#ZLKiW)QS>UU49YNI6$bEq
z+PF$<8OR5&uKiDG?or&7#HeKNlEo={wHC<5`((8?){@99CzUL;VHYOUTcb5YA*Qa;
z+FO2R`V~e0YmHV3IW4tTD{GoTZPsd)5lmXE)ek(wTtUz9H8T>ryH+a^$VP8h%2Ued
zg1Qf1hlywgeY{SqhhWM&?PCO&)@h$8wii!n#}0f?I(0qNO*k~PD|Gr(il2zsKvxI<
zk@XlYGw9uVOk*=BdV|(PvAsb9YhYWwK`W*(Sx?Csims8eL8}tTC&{h~&nUbLFi{(|
za){hzBP5=oZ#QZmS!CAj)N2R6FNJf)iV7hX?gT6yCXQN%$>$8kZNex%Lq|8EfzMFL
zX7uSZG-$KdRYeG+RmTzI(Ps4BGn8u!=Ik@neG6vZGqiP!)&SdoO5LKh=dkfstsGkc
zhHTZUS@;CNRfA0XaJ_c9z;18ZR?KI2DSfL}kC`I3VP%m_^=QRDttdW+@+*rM*Dw=F
zZ1gj__6dsLVVfUz*A4uGspvxwt?@JJ8SJ6Kn^ve2^bsZLN>FZs|E%1c%(3lSV<oV~
zGphX?GJ|xax5Hvg?zTgV;c)W~tqq57cW6x&d&g(AYAQBZ8GSGm4(~$y_h{oEK*>LN
zGSS6gh~K5*p$d356rNd4=D#}?+mFno?bO0qaPTheBPF<RcDx9ttk|VRbC|MAYoy8%
z$90Zdo45T6+p=X++-}Tf-*dB9eoo^e(d_BF(OG0_!=91$2fAA5ZND-UWq7s27aiW}
z9Px}MJn}F|$97Rac}g<Ms2L<!j9nPYifg$?Ys=Y6-h)(S8WS-N#zVx;%h<JPZ|oK6
z{eDc&k~W17972|XElxXr(F$<PlY6yV9KPGDH4Eg+4X(D&sZtB%d)iw><{6F2OZI8)
zI85KCwdAnAuC?GWQO7uv!k0Xwq;6>L$X!TS`UceYYl3;g_Ip}4*(k%EKm97uoDssv
z*BTxGMd|K-t&Ga(dfLtikB7m63cHDlo&<L60WBYkU3dVC=WM!<fWZm}RVNvJP>X}H
z>d8T^FQZ!>!qS0o?;)+b5_5=#ZpL6KdKLM+?2jjPcA}0I=_pk=ffV4!uN2HD!4|su
zJ+|G5eeSR}K(TyJLry7{k`#SW%c}~1<{4G&h{EqUf<Y~-<2>!!f>hS#^)E;jj%q=Q
z@6t1>v<$uU(J$zZ@V}Ht(qK-b#G|Tj-#x0e;uIr~X*D?PcMO`*dfIwSk+Y7e25);@
zm3sMc?PDeS!81x-fGq4Q<zIk;f5Rv^ept0#*%R7lENc7-?Gp|!oKQ&=I;qvhSnqHW
z^>~+7oz(gS-sO(_27~%PbfMXoP(!Jwv=1qM8x}Y2rr>j(f)aa|&YjY_DR%$oIeJ{r
z5JyE>p^6sxoL2JOBBji{qG<|kdrry!AO&|WM-$l(ATav0))m3>(@>D^()-g|2gMuu
zTn+IdKWH^AGJgeV=NT<pj%KT8<lUvLAGG!=Mo}ZipfgyE?$VYs+Ghw%XQ2Vf_+_4}
zsXhLzR$XDrKc~4mvYB)!xG1f-hH`#SFV8|nLu;SYCLqW>r;SE1=)Cqdg5S@>-19wk
zxS&lzaQlKbilK|zI5qN{Kd11MT9JA0+B>~dLw<kCbxG^4hFJUO-WvW`VLnHmP9X=<
zf7<w`erh7M$N|}zE_0UysWQp=Kw`UPS9?8JYbpIQ$}cH>j7mS^b>+rALD9Z2YJT4p
zEk<DmAhWEZU_3NnIX$mxJvlsiRjWhJ8yfsOU4vw4+#iK}^K}0zZ%8>+Pe*C}HElA+
zTlpU~H-f!CY7-IE{7Fl&9OcfGNcS%w^Y1D+TFDLxV&$K;SqP5*jG8@4jegOlA~^Sp
z){w`6<GR*|!=cwPei7cduGK{U55A#wK``hBY-sE0(hVrB>skEX=M;GY^%hs%QC{{t
zP{;j>#d1Ae`Bm$Spz3d0M+CEe!zOM$J^xLsf{P|aZ(;>`zydC)S$baedZox&o1Z7U
zqXp5BJ6eGG@pFovhQZpQwgVUJ%mJ|cwiSUY+GV4URk(#|QwqBFoZ4h+1?JVPr%~ZL
zj=Z$v4*JmpI(7>^nJ<C4{(4R)W?^D=rD)RkR}oNq-o{dXf)3q=>FWX6?r5>FjmO`?
zG9-oG!CcJqMfJvx!jyhTD-0vK<E|&~DaK4a_^wvne94d2-_<@bZKjO7P(L?w;huR$
z!aY>mX1a7wYeYk?qe=6mK(9SPZBwA-PM}38P>nL^I*=?T&wZ#7FDd#yHkU7H!hO`=
ze!6*IYhmGocUM6g|4^&RZcm()oUU2GGx`CB*h{+l07aENAHGn777Ai*5Wab+eTv}n
zL+xuNBZ3;f)=GH1ITcrtD!x$T^6KwUkX};YAJ{udY1L@_pZE{~4w_2Qy;oX(#a{CT
z^@>JkO#cIAc}WqEP=!e9k=8}g8@`~sjX`hbCmisy6bWL*$Iy(x^B9Ykl-&FURceEm
zwEwxUh2vZ&z#@!2kEFJIL03;;nyUCjtE~9j80DJX7Wzi3$6B~Htk;NG&m{Dcwm*@X
zc=tqWjdWT*#kNUG>Z<B2txPVbrgml$-6Ol2N-0MoVQJ_zi1|$WOr;oWuweSL(7Q~i
z+HfEx-6$z{5S021V_Qn=|AK~Q!P*f1TnkZ{fiK9^7(K4lbFFlsnfstK)r*1uhv#^E
z<z737-J{~aq=V08qrZ8MRR>+*g{<1KFR;jb%WYpVRql=HQG1+1Tr>$IozX~VCn~CR
zDwOk=)HYRXq%tr*n~<O2_rgZ0Z)5>)rFxoRs!_oDX<Ahk$qmd3yfJYx1ErPzk))Rt
zE+~W_NrO5i%R2{+$AhCtx>hqVnX?y@s&wz`vjU1p9~QJC9s2A`+K{gGRFM|EpyT_I
z)t#A`HP{;xwaoBT;G*mvB|Qz{T&koc7hQfNW$eg6Ey#pd7+DU^gth1;HP6HxAPH-;
zg;xY2B~x~TsFzwhMc-ybT>cU(kBqU?z{KOzS$6FcPOYvXwf$81Pb{<h>6<^beu4YB
zY)4+u<-=OOg?~Y--%qXn(grI0DMLchGLX>vomP#VkZGFHk7d*!c>J_v*J{o{)%*6-
z%)hln$jSc?CgJ_G<R7g+0>4*S-jL`kEPeaw-&fjTmBy_XO1;_sMu}HG&OE(lKVA4&
zi${dIueCuc!tX|=K6#_nVV^+RthWEK2+CYNGk7qC2GLs!o{y1!dw3LPvtRfRllXp$
zdV>jUKh1rk^|8pv|IpR{P$W3;v3rKB#J@I#&i)LwG3u?>O0mCHHNfM~TLV$=wEik5
z=2SIXjbDLC``=+@l(GU0bXb<G@_|{H9&z@#DGOa!4yIhG6fy^WDfqosfhi5%Lpeq`
z`#m;`59#uIFh1nAE1F6}*Wh)7VZ$BGJY{>hV1gKEdbl7}^Z{>Mlc<j~%OsO%iQukD
ze2SowS+qhh-Yh;<!>>*%jeh`rO!}XJN0>YcT|brDCSt%~rmL+m4O3~?8DIuI!w~Xt
z=bSLU<!m)E3W&{-h5q#urA*0G)L-;Kkl-(dA@~!J8d~jBsm1R|S~*zB(29V1JV10t
zP{<-;5lpa%E(q>eq=0&XqBo%AK=FkVFu+JGJV<<^FoO)tq#%)tk76lERK-#3#URlH
zL5Nkfv9S5xHJW+^V~!qg6%~QsX%$hXJ#?R;JrrUS)dTl1*EGy*FVGlq4!q~rYKkMo
zQ_*{9mQB=EOtVrcb0pS;m3A=I`yBqITJcs<3P>`t^Pyc7gXE@mPo#y}k%}wU#i?qq
zbI&fyD9o~KOb8vD<_OMCy_G|Jq?lG4DZp^UdB5urbr2NPM14iyV$g@V9R)qTT4rr~
zD#i6fwnw=g@JX!+2clilL~8_LLPR6zE<{@dJB4VhWF0YN!LDhcGcz6evolo1Dax7B
zsk>8D4dgQs*O^phpxD8LMRe1Nl1svQLr7GxD2o`KgGEb=BwVGU8k*#lQ{;x<3{4?_
zQpnP?;U=O;2s9<hdOejAnqv+6{;DHNqAlNXn$0M>E<X8Q79xs6^05%{nPR`4O1(Cs
z87t=!1wd$#OEfa$v9zRIq6V^dHkW9IASAbF8@PzYyg=4jdmW!!GyvgvZj7HrB=VqU
zuTk?nsG@7MB##&*59eKZ(<pi+R*Wy^IjVZ<;~MqIi%8dKTVC{ED_KKD>p;G^=Q5}9
zv`~P~<wXKJ7o+Mk%IC@LP&26H2%w@R@QwytZscAVDuN&+D4*zybN0A=q8*?U`9w!0
zOGsI{DQ`g(8g~PVnFIW3Sbh<wGM3*U|Ce7>Lmr|Eh;9gG7Z5`bWEBvf;kH2gf}#Om
zdR|Zvt-zN6T~U-&L^PJ(1DqZmWH%FrrO~)HsPpcHL^MZ9E+qN{$|%*-yawimOzBlv
zbmQ=NVbPVtB4MHzhZDk(a~Y$lku{ifE%Z7})KzJt{h~xAc|k#Xj<6aF4&o*jLGE|c
zvm&Ci645G+DmKCc8m%iLPab~{g60$zft=Q&qN01?D$e)XG(L-feKM!th!RRjdm|rX
z!&NmL4Hs=Wc1SVN6_+Ch7ZYt5JkH>53M(!;sdzop*bEg$4L(GNWmgb%q&WJfEL$I=
zKUBYCDZ21OQ5csf!afu&SkAx?Q30|tm!#3XNMwp#L=ap=*k}j@Fi)WpqLt(=Av#;G
zasiH!2o;f>|2(9XM32}_p(Vu^2*#EaLlLBx6#bRhF-A*FFN4<@;Q+#^95W0qE`k(8
zLYiFgsX_$0A0#S25Yj7yciX$0Dwakc*-a};W1f}Soo>_<^nunO3@IaAiZC~gCj5z!
z)oG`ru`Gf@6B>t27d^^invxQhgYh94(<-Qh;YQRJ==6-2RrI>77^&K8gOS$Ea-x;O
zY&I~`GTf>n3n(wb&_0pnMRQc|sPdwP=_>tD9(|a<FmautLM26c&zt<-gNx_%O@tU6
zC|NEVGW{xu^0=&0v4Z#n!KeyoApRc36_T!O%*b!GK)#;py8b`8C_;E@-%0V2xZARq
zMn;OB{EGU`NYS3<Rm51`OOq;!UY7A3yCmI>6x9fC?H2;RPL$+IiW1#%zlAcQ(7E?g
zt4gSEnbz|(-e%;dk;&LRh9ARE#;8EA2D6v6%AyS-bgzujz+cL^>ZDUf5m7<<5NKTm
zZ<n><r^AzLqEkwNf2FBy(A^MdBP%b9pn1o;1QR&(EBdSdQ#ih&<7u8LbhwJ>5;%nm
zl9i@TDVCrI$>cn5<L9wRx{0>c6xG#3_qVHxLJI3o#cC;R@ob^pszD!^Lf5LH#|MI=
zy6D8=nChY(SLL<pqE{e)733<Ct~3vC?x|-DQN}c$+%=%+jHlEZ7`CX#=$fJ*hns4O
zFF6dWg(*tbPtEik+E{We5yRxvTA~Mst!j&grtc`Jw)i|yt|Ku9x2X=4B#CL2t`^IG
z`{m8!DZpu(RR_K1G~K9!Tx_H|b)jRNrtx(ViMXl;rK`PpdR<Wggs^&;MNZS`dKg0+
z>3lsbLgYuHzG$b|hx|_-Efi5-l%<{Z1zy1Oqs#S0bzZeB4Y1I^q3R9L1>VrK24aNS
z<WKJ#V4-<KU7|5X@f~T`R72Y3Xp~A~-05nUGU}EC<5#UXl8~6rM&*2z)DR0je?R5g
zo33_284X2ENG;n4iohHCrje+J;6Ni(*I|0oNHhl2pfPlXH}Li@K1c8?0?tmQCgK|o
zw<8QRvB)h(ei}CwqnUE7sc6RcudE-5SPtV6T4dsfXnZ44jxv6C1bV9aFy;AJe2hf9
zA_zRp<vT0o6`<=)gNl%~8QxjB+8878F!?nTmHFycjb^A|gx@q1T?2pQDETue<vv#G
z6)|`&i{GrKjOln~I{I_Wj(l6(^@~wMp<D1;FBpm`^sh$NXMTcJ0unENB3dfSUCa_i
zu>MqUj<j$wY;<$+DRW##s5pK%;?|DAOehn1oKE4>F}7F6h>Fa6HAZyC<uQtAfldrK
z0ioi|Fp8MbLZw@&C6*&_Olm252lCfzuC^I8eg;Z3HPsP8k*$Paa{X4&dt_2?jl`iI
zTNKZ|RwAFGy-!!$>ka9+t9iF279T`y&>BMzd70l@G-o))2qW5H!~h=E2Gf8{xm$+X
z6|1Uhi}F-#B{U^kWJnXoywW{Ti)}>-g$>D2Ll9<;%BCObL|f6*BAW%5UpopsY{Jh)
zhqZwai7jHV?}SC4sF|oqJK6^YQ+g{H_$5OzO7DWzx6GoTFt0%rO;D#DCSruk+hOdl
z;Yx}$Bw-|2D7-ytSE4Ir(3M}XBF$-!9P%fDu4)++JrBN6F1Hs=xEAt!CVDDLeNWy$
z6Yw&_ybUwtsmj6*qCT@mcfh!lgyse-Hs67Cu!AUVnnVveV7Z<|pL{L`sM`D7V7mA@
zri4jUwj(BxNi?e?wl|X~qob%Ke&w9^%fQbv9J*6-FN{xq#+bHt5<$3HNU@!uQl>Ij
zRtC@gp>$~gF7JV-3X?-RBV!2Lb{3zQQ~hXJXHnB4g$|<$Ux?y_>w9_WVrQrmb}HBf
zol_D=7?m=v3o1ooMrEjea=eQu%L1QwL03muv8!mPI3{MO<I34xp@D+3t1CJS!mO^C
zPNa;P8T4!>uCCVaiTx^GAJ#mI9k^z8LuDhp)=e~28Jy1z8%gqU;nt`{C4;i-HIn(0
zyJIGh(wArF5U=Op{a-u^=46(r9@y<kmNiPG=b5hnI?@9j9xOlfz<h<UXirZKY|UVE
zbbgvSiH!$%DVVnP^yFa&N;;kE&hu6<g-sDbDv8}RryFvOB<wU~3OcDwc(20Z5idI(
z2bR-H>Lr?}oFB@dhEeFl^(Ld`<eS0rQQ%a!C&8l`ytPDv{J?X!-onB02liGiu%kCt
z4w=dsqi$gCve2N;9$|QqE5tL=OTP04AGTf=iti&nRM9VG@F`D0YSk6ZgLk^1n@#uR
z;HnV?hoNN@_fHwrb~d<=^~2L^GGllm*hcRVg>%=VucvgsW%nht3qRF$r!Qt&nUmW-
zZN_f|zi_L59T_V=VmTvXF$Ez!87pdW_%2p7#a-3LUx=Cvj{O3iOLl)-Cacn+bmt3E
zO9@X?^AB00QEPbXw=_rS-%r%wa8*Ci$RZ=+QLfIYTh9}}8dHn*M{mS%iS3V65hnM?
zR4chnnaVB`K0s7pO6vibXAtfhfax2d<`UJx)5L{+UnYI)!j|W;AN}pZkj|uz14Rb}
zI|hn41Yv_jcLZYwLF>z;n}fu_z)T*<6*Fb`%6^*_uh8aJq{^8T{~-#wGY(7ec1nwb
zrYPf7%cKd9F^jo>Mcc{8W>W?Wr=r!&Bv&U<Y+;mE%&Xi_r;Nd(w?)RSL)`|lnru8#
zo0pvNSV1#s^AIt}G@0_niy=x-!%U?)T<R+9p4{;}wLzZVCB-$#R2$)pcx;r<Qp8XZ
ztD=95JhJY;V<>cK$=W=V(hg$XvRtw@RH@FR=3jd1p=G8rk#qZbl9LbB=2fxVWYYL%
zm=DX=&}ymJ)2Qz-(H~jAGz@xoCKVelzOeksb$Wny41qEs%ZL|hBPao7RAM@1^5IH8
zI@}%I56{cy_bwx7xCUQ|cy7R5UqRAimh=Tp7=*>4(g^4&5-~s_ut0TC2zXRtj_|Ls
z{z{G^DEKR+P-BFs&kx5IRH;kamziwtDUR~xrKpjZhL2FKkx-?!)98^R9>MdGus%$u
z@}oq*K>qUFH6t^}%(U~MwFr#gh&P!Yj1rRqCo{|ZOun8{oS!}Qs;Osb^JwgP_;YpF
zitJ7--$un9n`5Ey4m<|!K9Bl-Bfde9@{Rb&G>uA+5yKHI8zW*&f6|jNVl09$#)`Ta
zg=@xQ4WCcf$3o+sPld*zQ`)K1IBeMXQ+L<TIr<CXnadIieFGzaZ^ayUi(+^N-$4x$
z&=xYr&Fr#;tEVq#duey%u&5c@qsO4w!999-j1n?lN_O{G&k#C#_3i8Bpvdu1ekJ3h
z>^@bVE|2%5`!u_2s`zqw@~EA5Dmwv7h!l{n8aI22m2YqIv-os;f=ArToW<}iU`oK>
zN<h>^Q45vjnuv~Sr=t_0StI31&;#rgHwm^`I~|?`b-+&Hlc7Y)v~4fdsZ`Qr)V`fA
zO~x)&5`uC3Gy$rSchyno+y>ga>?m}oftC+PUh0K4N(w1J*QTM{R-TF_P$CMy^iFj~
zrSQ_DXhmOoJ7GBC&B$QnC-*ebLy0P>L?uo`*R|8dX_yP4T};QmTndg<<hzeiX=RUv
z8p0iYJ;E#DxbFly$l?}wmzft76|Jg@wsSsSD4aD3u14|vyp>w<Dk;U*c$qyt5ngaC
ztQHzctNqg3=c+31dN_VGW+Qy-U_22Ct$Bv9BD2kAV5Y|7=QCgy$f64~M0HCRkDTUo
zd=^rEH^WxcqrBYkqn0zV3Cp4tGqE;h(eE>{N6DgyM3g>@1|?!NXVJDqjHWF5D^b$w
z&XTk-vtXIeqC>N=f6PY#vt{&{*%(b(lr&p(2$X3KMoxKdf6`tnxo`=FDBf$FgVC5p
zW9NuQ2#zbrk%XOC7PU#j$}1y|e@Vs0p-FcniJF1@vV`lIfice&l@-q<1Jimg2JZ!$
zHCM{GHW$TDp)%jXB$`D-zZFeY@e@@OT>Tb1*(}QXR@5=0_;u!qZh<#g{^FN>h>(x2
zEQZ#5WS*$R<cxVJi6pNy8umaJH0+%DXjq9}?QPf^%>Q)0_>9Bo1)g|Yvg4KF7Y7|o
zezE}j&!tpuAx6+r8n;jkMv%G?3++<8i7fgCF6A5@MMvceCvha?>wbcg76=Pi3NFG}
zTS{Lqg7Ft?(jpAGe3Z2a4VjNxFUE4uFLJnk&Mr_*5Q3Iqdz+7XE|J_j04cT<BZI$v
zfr7POiXJIrKg57#gLB8drd*!M<O0oJidIjdOG}Y~6e_n&bhV^#R{vAgfUDn40wv;|
z(eP7Oh!WmKX)zSq<uF(voV#2M<S=VF41bGRgzZnSeWNW?ep(?SOy?J_L~EaCdY(Vk
z5pC<0qO`)~`%_)Js5wL{M@Ltpcb%snR-%)hCy|T={5&;J7R?mzhkx?j6WFVhMG+9L
zB%{lm$Awc^_770aRagt=(!f<XUYbisSBZ|6xtwGTieH017_}Pain-KtHPkMNucz>b
zSL0x2E@iI9l=g%o*T`Vt8my)KzzN2ijD2ej>}3n-)f!Bi3#rmt2;qlMT<sNk)>`qQ
z>2KP#R(xdnoAF%~K4hH;=Wl_kti$dH;kb3;Q_CS{h*b>F)`>9wJjl8pO_D~<)?<f_
z&x73Sp~UHQd_ByIf6-kI?$BEfc2L0$2%b_+1YP7k;<`^i_@IBi{`K6$=TDgLTK^ZM
zS2me&LHZUa^r;VZZ#MN8ruO!s9?zyOp`D!03cAd}271B4I<jp<aG%N`=prw;9`+Fs
z`L{RmpIQ7lA8NI1>J_H`<U_5QO`So>oDS}UBH(+ScQ(TIgxg(j5aPO1{!K_;-b1YT
zJZIS>UwM<4mxWsSP&;K)<%OSNKGdGs)T5My1o(o^j!j5!JzWHd8!XQ_*i1p2k-EI}
zlIbJizibI7xOo5iP~T-!CouKB5A}n8y*Y;|1qtw7m6e;3`b#<t5a+`;8H)qh*T8mt
z$RY}-<}Cc^*Ip6dGBv`7x;UFEZxb~0p`OjA;;eG$7Non2W^X~ddvM1VK{}o1U=ck*
z(B&G-|Hntd`v1JC^QWS&TxmJ;wk?~=Z#KCK`%w31Q?FCcttckW9}>1A6T5L|7s;-o
zgB-l3UlDY<%&G77k?`dkZ|d@>;;;|(t8A(=%llBrXH)l5n{7yE3JpfUCg54y(C=UZ
z-hvSJ-LpV<k#^jO^qj>LZ@tM&D{WIBYJqGjzbN7Q)Q4I%o4S#rw<BG`=5;&Lg^hJA
zLRd4GFdDYX0|2{7+vIK^8B4NdNSov_AL^!Ts<g&k@u3!e=gs?%6tx2h!D!Wb2hxW*
zDGnhlK{FVQUFjx(UF0tG4J<<0b57?huMD}ZDwvs*dM%qOcO2b(s4udqM<{$Js((Ax
z=U_T@<zO<6=HM(XLeOO%SKw+N0lD6L6Q9P^tv=KO*;Kg?+vh_K&!%q01!<%+A9s8a
z*r^2vS>!^%i@kdniY^!Q-7j+%ZuAEx&vYwS+_OH^<=IrJ{yg@fCTCMq7VbtmSTKw3
zMvb4Rx&X1Jb>?6$jYQB@E=NsZgv+jX8>V?<u9vG(D<3Le2=`Fsn$*#Uich9JR4h!H
zNS4<j=XXdxjUv87Zm<r;d?&gTxXHCz>d6NmOr7t_ZAPrJ>i<nT_MOP5$Q5#sD|*Q3
zUUHQj<Z2#r(LJ8nwQ`W_c*w22<OVs&4L#%pFS%(B^2Z+X4lg+-2f3w(e9ud6n}giW
zLw4@<WbN}D<W3%P124H-4ss6<d5D+XCkHv!Ltg1656D3t=pkS6l859V5A~4WgKWB~
z=i7&i9A=9@)z)#$kOyCg>o}HKjeC+hl%nPIyADMLU#snhhKzU2y6+cN&3H3o{(k66
zXt@2Nr0F*Ou^*PwXMPlPK$I{opb7^>r0E!SJs@hEHW3|w4ziCf9}ra#m=D5^`-2}f
zItX)9UVmD95PQSp6m$rhV2D2rID{jC-~8y%A?ynZQs7~n*ZfD(hjBXgI}JDt5wmFd
zVW@LD{dQQ?w*SR_Y8J|rSb*BD$EV~qk6=S`hejU3QQQuCaRl$^J*Cf&iqUqjj+0o6
z?q4?7qP)jMUAtGeNvtxjSc9sRbPOr}Lg$X*ioz0#JdPb7K5aTKVyzoEsTEK)C^-cm
zwT-`lpAsja$E~C8C!nRvPkHv@>#T{Uy!eU-xA<<^gDB$!DlXBFDx5@4ex^kyaRz88
zEi|{eAHMxsi}wO5oD#Y5)l0)uqN?=_rxWlD=?vY7ixqTAlw#H8*eOw4sxGHQ4eMRz
zdC5FcxI;~yzK6>CJtclGKDT=nmc&ByGTRp->uI#fY>GS$<J?h7JS}>&LXvSB^}C+x
z{s49H0e$lWbluH#`3KR{1WWiC(Fyln-Dj`^nLsbjz_^z|F=s`4)+JV*#V+tAJva-^
zdOwvrhvtGVG3Fe^J*2beaFApu4YbQ_DMt0qi*i=4qClCrKSc}A!<-HEV8eMd=PtT+
z9-BIOgJ%LRPA)X%rV1CZ4Ns@~7eqDdA};Aes0h?{ZSKOf=mM_7T%$u5L|?ufQtYA_
zX7_3Wi4jz3sUwWy`5H<JI4Sia=Dq7=za(5%d6}UCmTWryAWtb;dkGD_o9<i^Us>h7
zid9VNxy(^Yp5#-~Wi;(;I)7Pwi6i-XS8y}oD($!;zVaN&U%4!b$s>8(2FGC7OEa&+
zv?kAt-w+ekX)=zTDe{`AZk5OI0&6Bkmls7q%#GXOqPA6@2<Mmhzw%V0&>wNJXgrs?
zcsdnZhD}=hkD?<V>z@Bn^un=j#80BR)vEwdX1~0JXvt5argbAn>dk_NR>@nLw4X&J
z>j3qB#&I-sfLT9dB)_5aKV#rQ2Z;CuXUaIIO#VfDX7{f4iG}D|Q+VhsbX^p*dRKW$
zPR^T`+Fciw?eeH9FIMfuvNX3Dj&l!O7ZEmj09BH)RBTaD3Cev#l;d^3!41(7>;9q}
zqA9QY_io_sow4pyud3E?eEx_A%B1eU;;fLZlfR;~9l@6wIQ-pCgMP!Ug6VYPH__87
z&4IJA=u*aap_TCThA3x~Ccs6&CDPn6)&dKw;2z(en-~i7=<!W--f7hQ7KZVkwBwfO
zXx+-ybDSmIj|(kI6>npOnolimWAkmN*|#xCWzp%|u*PGRet#Qh+DobR9dzq_wDb-}
z$pyLz$SU`<nOJ@)c_|#Ex4VlvkvmosRz=jwgcV#TcSRm7zL)P}+B!h5?utr*a;sPg
zyVm`tLe%^oCfz4A=pLrng|zt|#Q#lC?}^5|w~I`{jDaO|V2WsFPvcC-vFH!yrS$!f
z?x%?Iyr7Evu-fud4~doO{X<cR?!Cns&(`~}<%jyyt^3%t@(U1&r4)7KJ6xgY`2hXr
z5uJP>=2`w=VuT{vvqUbM{t#LEgEl`Dt<9(W=*>e6cZ6+!M>t2qMd^p%#m5Xd{}6pG
z6LW|^{vP6!|3FPnqz8ZCiU>a~kywz$7o<LqM5t*hjeaDWS(Y)rf=c$`BNTfk6@M)H
zSorY?l;p${IB(znSPV7$V{AVWOUyz3bmWOx&0(*nVwZ*ArATb77&WuA7<GLnMwyc6
z`ZKZ0a*~O~nOK}wK8I!FB&9tU(=GgbMPfA-Y2^#_uosl|LM%jpi>32S|5DjB+`IXg
zhNp@8mTfHLLyAm8R&J$<G790Oi)m=?$aGQ5vX(ijGe-%Un=aza1^gFgh}j4zDFYyu
zulE_^E7L*xDie1<-_g}f*rHxho|iE2?4<rLMI}5|x#T4}>P))yQcRU^V7U51C4y$u
zk2NEH5z2-4Y#1?+5v!4=Ymh<=VFbSt<%(B`VT?G(2sjksC|@&zUygE(lnC$JSMntd
z*Q>{@gC$z}4;wa!-@r;($#MTPu*Mr$iuIj=95!&^F!dG|I6qK21TI8;pt#1UWD^)6
zwY>2PF^LhkS@>jyn8t`_jF_$vGZ~SvfH8>*Glwz97?Gq9^BA#-5%U#-7{Sk5xfUtJ
zQZHheLab!O56qFQ5NjAA-|t$h5E~eAoH;g{O$l6QTNuL+W4X2}mK}`XSJ7NM72-Qa
z@MBr7Jqn>Sf}hQD?N^9HjQE`qhZW)&BW5w;xI&y_gw6=Js>C0FNRV%iNHqo-!5dm1
z$md5~uN2EgM(p4?8nh2^Tw#R#k~~}?eq@AKzX8WDjPR;9K>W%GucZcvTZ~x3LWexX
z8zjKoWy}i3j8anXGs3I&fa7;YtYePtisLaO482Fnc*Y2?JqJ-z8R0eI0Fl86uhj;K
zKe_(p(<rW+O6ot%;?;t{@|qFyE8%ibd4PD!2>AtJRfTxZ2(MBE4znK+Uds*;0gUkK
zMnD8HLfLN;U_t@L&X}WIys-))7_o&B%M>Dn5%QC&O$w2R5%MFXvkH-q5%RO5-xZ=D
zBfLf)q!Px66D*YNIzWW`B>*#lF>K2L=0j%5V1(s`M3iF0B}QlpQI-)e8IeaJA{eos
z5qlJ(A|vDld<T>#2(8Qruek>ZJi7LQd=18xz$PAGYBI*FtN~Gn5kIlic*Rkl5xW>M
zTp=1V!cg9%j3$goXO8a`$H$EDYH<+SoDp8j4-hRA7~{3}0MmvMUbPO0c8s{rQp-Y1
z1EK>X-ZFwUIv_eRVmBk=6{0I6yowz-dNATOb8J@}y&1tqpaf|J0!u7oyoMhj`ZL07
z>j7dQBlfb8t4hdVMku9EA%-%-tLq`ka7K8QJRrVigrVWdyeEuijMp9nma&ZRnt*^9
z&j_#52gD>scr`vCrZR#!X9J)D0^w!^zbWn-p%96Tc*7iH6=Dt}aG4F`Z?(dF%NVa=
z2tpPx!mAwuv4{~~#Sn<4jPPoOK&)VdS0Myq6(fubNit_^88L}7(h4f$)cFaRWq^?v
zDfo&I;%sJwp(#qlHb!`jLg3iRh{r61?La_$$A}}07@-jR7_prZqZQ%+Bc?NAvO*kY
z#AJT#-o>gVgdAgxSFZ%(BqO}mA|OsPVj2r!0}&8s8R4}F0dav5UTqVI%Z!-MQO>9+
z*BBv>^DZ+YVLqlvV6vFyW9XKMbAu7`P-&h*++>8;a0HG!jPTlufJkA4*E|HoLq>QN
zRv;cR!mF(U@sttg6FA)vD4D>#V9WtVR8WX?Mi|<w<ao)5C(OY{Bt-d}5nj6y5dSj5
zYbpZb4I>V5lpZQd79-q@7yv{BSWN!Fc(q+1{29RyzPpC1IDw3SavS#+ilkJ1;s4X*
zEJQ=z;T#qEZ+I@oLhq3}kdxUTQOG;!*pKkdm#CMEHDah%lAMppf6$6|qOnqjtK|>|
zjksVwR*_wW6?akQKE;S|x|D@GCeI!Ur-c!Tm2$*O&Jv-yC0hv<uQbPl#(XXdn&q7T
zWrsd3@I90W%EcsCgo;y<<4mMZ?~(C|obj>*{W?z<R=8bN6;BQ3VI|vDQz7bj5p@-!
z0V7!5c10^hV@AwmL=%Phm=Uaa<1>??Z=o`8G&w_P_+t^G)Nxt65v+~}7eaf)c-dR1
z_^lZc<iFsmv$=&|jZ3V@H4#BAOwJE;F~ZeeF@DaBNi@Oa><mr)HiD+C#=E*Iat|i6
z>h9{P5PiIez6#Ng5v;_!`YXghM!cYJ%+6+(7l@fyTQ$P@G<<zfDpfcOBEv%@6U&WP
zv4%0?Un=6~{K)bz$Eukl)<QpL-j5jT8mYLyVQ$_GxW*_%f)_DfAto_`Hv_K83Neil
z*ac+zIXhVRLA=CIR0{q5oi!2|;Yw7TbC^@=mPraRj}Zr1)_jE^M)31_u0;y5lo78O
zu}mRWGGZqqk`-bNBQ7#xtwL;IglzJScvP@RfU`g+shukuY@)gM5WFbM{N<#gndskp
zNdMjjN*Q7k{rU_VU|^yYley0b1EGwuiROOsKu}VEGjD>FrmV1uX0NQeM$G=q$muCV
zY@#{t3j@)};P}#mP`21a|1XF1`qJQOW@K_$T(3R`N||I6{fEV=qEHEov$)EHGRG!b
zdk^Z>XJCciLq-}=+AArR-e2|Y7dzZQD&uUTwg0I2*e`qc8jKq^GM}9lvvt7WK3~Q4
zjvegbSJv7@;D-(GHMmdgFoVA*^V4aIGY@Q|H!aS>2wqv7Vam3xth9;NA-!F(eTEO<
zPoi&9g+OO{aCHiFhUJxMeyP$782;seUW1rpW}x$<K;G^pB^I4G`<w7m=-ci<_1v<Y
z6XfI}XDd1X$@%9IzETQu77?orM%k05Qu82ZB`R!n200W$N-acl<4lEVOOVrUG58J#
zIm_o+<r7!3hS7^JOhrPFgLOVcDra?;7HfTRJ*>_Ocor7zEoT{Q;hlCT-VU%jLsU8^
z>9o~Z$@BlM)mg>!znaZiTj+*39^n|b!tTtMuX5zD5&h;P{bM=P+D2P!NdLGmF2&}o
zz?*WUTG}E9+dHajch+xvGXUe_5&yj8pR@dPjeq{;pBMadfqyRZ&mI0r;h!7)^DqBA
z<)4TA^E3aX(*?V;yluLXe5n6IhqDFSVOlwy4Xv{b^dnm2aMrRWdcm6xXLW0m0scV+
zH0Q^#!1U6bb!`g`EG#e^G-qww{A~ES=B!~`Y`|DrA_VA*vf+5)tYKYdz!UMYBhp;%
z1z!qheKxLCb~>AIIMV5?W!qwq(L#ru&ib}(*|1-*vyOF#0VmPN!Ojkt!&d}5+rfJB
zl8FZl;tQ%C;;d;sVu1hB*C9yxkQY1<;;e4_-T=`muS1+IZ6~wgHo2V5t!EAR9j(db
ztZzN%0rh9OoR&PW>t~k2aJfTarJZF1@1S3NW!U}oex;o$C35qoIMKi9CvDoXZj*yN
zyoIxBh<re8m?y@$Zq8c{`Bt14b=u`@YY*gYvKLijgmYV|K;BAwQ31=H=AghOIZ<WS
zIa?HzuYM(#q)IpKMS^>c91u5PG=?~Dpub8iIImZ`g8Ip0&O$akTz&VPvt}{8SdFlR
zUgx><o7OlQkif0l!JGK4F$rvH6dd6Q;QjS5YCXkNQh(nn_z=Hzb*OW2LHVdvVqV($
z#2#8$ZkH3Cje89m)Eo0%<dDHVVtE$hT{I<h3Jx=$!P|OY;QguS0e%*<>kPH(5?qdv
zy<C1JXvcay?!&x^A=GfAmK#YN>k?c@p+afGFu#0=qrdJFe8}Iz8*$X3DcP@p|9ouA
z^&35dS9g@J&LrldVw?PO`(Z0i#bW$%GqRR{o*<YOI7%66yA8L`<A3tA1u9H&ny|y~
zL$m8Hg&hnoqa+leUXA^WGH%ep;G(#rk$5n;3WDPYgG(z8+{rtwmG)<u6u&RHkQs>$
zZS9|%u5|Vf;E1gc1>@0feej{+Jcaz(20;I>scQ{x;<~~kd$oGYT4^7$Em@Y06yvvn
z7z_k(LQ@_gu?v&wv{Q_*1+lO#VN0c%hBmy04BZfuP@gv7U;?4(#FP?J-%bZ?C<!SL
z3T85dWGE1tKs#xnp0=2_lep*H6)nH+Ip00^A!+yS-S6CUwDv<!1NujfU-CSH#aEX+
z^&;U&fR0|ut;7j(EedOsLiD~ile7}(eOM|m^J@4s<SgyG>~Uikd6zviP4BWrmp$j}
zC=bls@mviq3?cuVI_R<s#52GKt5nHz(;y|e<4?II*fHUH7-Gy-O0CY>rAdZGK74vR
zH(xX?V8S8=47?IdR!PPT3(kDeXbrK?JTm;yA>~mIy$-1YOLoj5joU<GGjwFOM_pme
zNPb0;dWzBI(^N0b!(vCh)X1~V=u;t9iTS1z!{DASO*gP|*pVwlV8w?Xivi3rfL}U=
z0<s*QE;Sex)8X)t5T(>uKGQIpK12GBSA2^GjzZ%l%uU7RQZS9UBIsyhcNR$p3UUr$
zl)zO%f$Jlf;fx3rv<@G~Y<LG?EG|U_f?#i}R7^gpRZ`HfDF@TXu1bXTRZ_%&N@3(<
zSHyIH{b7~#voI9Diax{Mtx}DdIF}5VK5?n+;tSGwo>V>6F9q1hkEF+K=*|kiDg{~T
zkEJgK(*}mhl3es^aZvA<p0Hp>b*|jqFYVgK^C9Q~IQ*DdhPhMBwp`>^;QUInpJ#MI
z$JezQ??XBFG0GW%SZ%GBvQGS<*83<HCu+TujehE&aojc4kn2h230k}cPzIxmos%t`
zyU~L*q92a0bBbA{9Ac-;<#?arSk=qSe##S(t;#p1N2wtA^r+fyWLo((eVuozykVS2
za*DSSi>}$;0yZ?oi?j-{LKy1j)q*7Hc?<6EdaAqQJ+vp{un*QwxD<5mvE*#8{x$Js
z`qgAOVREa6j7!ftr)vE78m=3M|BV;K%kbnzZvYEE+?I`AM;qoh*m2Vv6^U2UYoM+~
ztj$Rbz@3}k5`i$-^BGQ%8);DcZKvDJDJVF9!&`_j+F>SwTV4msywmq?d8ZYMf27_b
zaQr{!sF|}`a45%DDG&_Xa(snmk}`1Nw7Zn`=lVXM#j_;n8tmTW^oyLr%D|pnUx58~
zuCJ?g2~k+Ob?K5vpQ?`atl7yaE#1NO`1jg-(zwIpCN>UrBxAU^a=^ubWGbCq?g_+0
zfIeB|)tGptMbu^)wsvlt{gNN(&iK(D0MhXe-1>2#80xyj;#}0gx!>nkIcN;}-B?F^
zTP%&wn0MIB{l402;U_fs$fz%0Bnj7@@M~g85s@~i`5IUDq`PCS=_Sdwct<sg?Oj;K
z&Rz6*T<BN4dd*j3I>Ox7ecv*pzmO$9_Z=+ck@r35N?tpokTsa(*UK^1{z`@XkcH^E
zOtvCYDL?-hk3+t1`hHTL@wn;jz9G2?ovfiDxfqLiL$V?gM~A;dsLbNmIAN!|n!1y1
znb!2;cz0JEKlj_PZAcDk+|af()A>J~T6$sZfYT@PmKpNoP99?N!aO|MHRmI_imf{(
zpYoXg#ZX!AK))>q|9nF>S<!oo$|CZ+vISqrA6V&J)-j7x!5aS|@3qtEEUx8E$b(i)
z)_>HZoYh1k<!~X`kg){tCPXLf!H_ap<EUd<GWAR>-PGNl#8(u8U^u7*%p~E=EJ_)x
zFIKjDxl0(GVX<lMfFXzB_tWs4=N9lxRib7h4>R!mRQEKNoT_B3W@7bv$gf+(EVGrP
z6(X^E_}B>Fvy|i_#m8>1R^BoT6om>aI+RIJYqeS|JViDhZD_vkEQULsN+CIUTh=S3
ztfosziR9|tn^vM!A{t~j)5;7hhL?ucE2=;Y9~^#8nPfW3makW~ix|-O*G)<oi@eQB
zITpJIlmL5rv+|xp*hj_#FDVg`B)uG(ziACX@jYi=PGX;7_)4$RlP41Arx!zP6*`nt
zPhdC|dW35Slo~2y14_O?25|T_C5Q;?A5aDy=q#Qys8ooXsOKs;@gyF$-2{6El_D&L
z2XTU%j1eXVl`$`md(tbQd6uoRhSP<5-oorV+0uBtZE^frbU{#8wq^7>wXkayzVdP)
z3LDzpWdg}CcSI?j$x$me`+qY#*Po7cWbiKI7Vc%;F?xMVc0ao?9q%NReR5ox|8sOA
zhZ1TL7IPA+Um$i5zG_no0wn3aZ)Ca_;5vfMs#{vx)A4Q!{BS^TLe1B>h5G>u9`k_#
zb_uoA=;&Bn^_v`hYk2>mHL8Zgq&id?dY8MchDqaUHNe9QbQQ)ny8VV6CK(r@`7Wo0
zGmg3sM(<kXtWpLSLUw%m@EK^3bYR{vLn-31f>|Zlx5XVYh74fwV#ocVN?;=9p5*7v
z^B(vB#scYpFFMqMd|vB$pf<Y#I-saiRgHQ2V6WtobMPB!>Qu9H$BpNFyNcVU?CeOh
z;X=$+d}&>14`2g!x>G%8G7U0Fs-a3AxP<$<6J@R{3#W(Cmy1dP#>UxfcnjkpgG0R-
zYDCdXIf+})ctH)rNzo-?RGAG{RJ$AucB|tKJbv)fn`%84WWjE|ss752XA%03s8g`u
z*w_)ZRTMYV<uwETmc(d^W8cR!1)Gi9q2H*AAP|)d&BNH}cLrQKqAoX!L@4Xipt&1E
zsCc7SjM{7Os#^t-*k$Aur3fBT=e1jTEgX5yUBzynRuz%Qf}u-$q5+fICH_v;VBU$%
zdZ6x#JD=UXppHZZqL1OJakZRBC*YoaN0Y0-%voi)dRGk@2E%vpM<7#NqegXHqqtlM
z;pO&#g&X5Fv*Ja!f(IkmzI*ClB6uXCw@3>ML_Wj$pcW8G!i8WosL60JsQC>b2#xRC
zF^X^4?#M}K&=u1B5Ik;o;?qonrjQoIju4C*)*4y+(U83p(jLxnoW&_6HX`|*I13F6
zv=aEmF1N<2O0-iEfk<ued|ksNo(nW9k2=u(ur`6oo~pYu_*lEnu*ox4kqC3T9Nw_w
z<-nB?DHti=q&e|~$Cpi7nNi@YQM2ZzLm$mrv1u1eHEUx<B9Y~I1&#K*BXp{AdrF(c
z0~9jZqaN%=O4BMuib=rxZr-?Ev+%V4xa>71UE!R>8JO3P{hfhWza|@Y1&|tW2UOn1
zwX`+f6~jkJwXq2}!w&Xq9T6T`fLnR|>-R98+iX0ksS0uMx(!LImNahI@ID{_^NVYK
zGf5e!yN18~>nF8kHi77QIP`%Qw2*|apD>U9K&j!Jw#cj!Rj<2nr<X~!bR<`=Ztq&X
uGttL>dQr<YoBqlAKhhTYd2oTA-}i_k-?Eca_ZjfK;Vux<J2RP;)&B+d@wGPq

delta 72679
zcmafccVHA%7w<Q-yEB_)H@!hf0Rn`Y0Mc6kDN+Mc1c4+#C`(D`odl4!1_%!1ARVQM
zQi7DB6N*X^2qKCg5D`?As)BUh@7$RU$oIYX{A2u`d+t5AoqNu?Wy8k8<c)>N)-2n?
zYFn%mYHCR>VklsiPmr8lUpv?|L@Q|GO<CXjMCL|XDoTOc!4|<%sMaAlG<ZRFKx)Ro
z_z^==`&1dxCv9lz@PX;t{MMzUa4oe_xMe|hd6I@oVOo_&!6Ct^eMhGb?UU9wdDMv1
z{%P?8hxSbyt8J=VUW(RAHjUPPYF)t=$<k>48;)WqTNBAKl=YRPm;g!PzQwh9iPfY^
zT57A}T6EhWEi1Vg<xC0*le5cemwK1gK6x{oQcn8>Xd4>U3Jol3*^tzML#vD!(mQ=Y
zc5!OcM=CBYp#1mLI)1({v!wS;8>~6%mXgYA0q=xR;YnMtw!Bse#a27HU+OTeUF%9_
z<5pRMifb8-qo_%mPn?`xjU;b1j&i;a_K~yWwP7hGC~2f`5Sm|Et2!V;`=MTN$jdS6
zlR9{C@6<kn7GzfuS#u`%28Jxi_A6?~@KHmDrVU?^9m9ofVu+~yLu++SezPInt0qTk
zQsXEoo|11$VU*C&5zbTaM)Ht>LkA8?9h{stHg!nG;54mjvoc!sS~axZZ$@jYYM0gy
zH4M{Yn%1Y4^A&GuwbB+D=vy^;;Ls5x(Vo<i1Jj2t$gahMtgWnBOiM}*r^2qjf#^dC
zt!h#UZGY4HQaP>aJLNEL?T2!&E1GH%PCcv3C1}NbB~B`i9)(a$H7}K-uB$brdQgF4
zlyTV+E5(2nikb5D(Hgd?plxlPKv~^=N@!PW*V9rOm6A$>A4z%JLKSU(%OI^<>nPRe
z`vS^%LoOv}M{Bn_MQiKpL~92VqqXWSBk16JYDp@*=pUl3Y*tz;*`z$>uXFfHQPg;)
zEy}(i+g2kPgR0$aT$NI?d`fERElNo>jk!wkR{f<4V*LFl`ub^EZ&r|MaEGX{gryX<
z;GylkM~Ty>G^(YYY*tY_`(|;e3Nl2I|9;;98IuDQ(UR&or3grg(5BW8)DoHoP{9#3
zh~|3xL}*E^i)$;J`)et!D*C;g+<vKjQv1@Gn^G_u+*oV%W;g_7rA7EJ$o8(4+<$QT
zh!Ls7$1TX_#>CLwyK)F+J+xK`aAI!zr;Uj3*sSrJZJRB~jx(me;X`YX6eSv-k?-qG
z9lU*_w4WQrO4Y=A$@$X3Q&<|BRGM|HY68?FBW?J=A!$P~?+}B=$7#jel+mosOOk&@
z-%vUG4P(9Lw~3}w)4VEZeVdokn)JrVyy^7TuGERA#CU6*RDyGbtGs|0WS2Esb9b-5
zAI;mX)X+vWi>HroN}+V9x*SVGr+G)y*=gSKk=c%#$-~q7r43Jm6&SG~+pA9U;DIn2
zBhnUR#~MObE(`G0G7@8Q_b8a4#2{yl<UZ*`M-Ci13VFh{4z0tXf&ta#Qd;9i(LsUL
zk~6TFFgD5Qqtk|u9+);p>)te0>rlInrq!#U&2LdwY9Qt<@w^<3QFa!sGd2lY)wb~^
z9$WtNpX|VYFNP|^M~qzH(k<G=wk6~ctG2jpMCKIE7xG^#&B(f$nO;KUjD+tw!T;6n
z8tD!z(tTgfwUK&P6c>iZNLbDZ&Z6N#Vh9@K<icLUCK%aHYHziRl-|?&w<{wRXmi?C
zlK#<lx2qtX(yq5FD{asm?JFojTqstHY!jo+>#HbFS#lKhsxB8-4Iu}#+3n+$nVcR&
ztFW3KM*8QRQdTQ$Q_9TfrP-58OW$aflFBK&nHf$!YRJVEH{(Xs!7bM_i+;u_)x^N(
z?1weJlVr1ALz<RUJB$hr_(b`L0lv!F8hhp^#!Dm?M|(Bt%^1qR2H7HMk9MF#qIB<r
zj&WMQ9)8;KrXjhfee7mk3t31aF9MI3iZV(~MXBPvqGQaQmpNwzku(3z0L|}hMVZD)
zbwyIb+vSun9;<j$R;bzS{o1^@YbobBXDLrLMh*A1dv8Ze+q8gAWt5G~FGm>@ETy&N
zPD<%wEGnc(-8^>R7}~X*xwO{!&1kcZ+uEj1b)@;)Z=EVAr<ob6ZEh4o1?3zLqpGc1
zqs|SaTy0Y41leNMHg_&paxUi!Dyl))mNY~DAIz#=<Rgk1GB#<IyHu5IT5^}_%HN!$
zn#iGT?h+||s-5hTApNO5?@~(oSu5E!Uh(A)RQCA75G|{#O<BsNN*NZ`sOdY4wxw$o
zX@^$WwW4%gbG#ERUC}DNQ%%~dCBG9_dnFfm>HUNs7E>C*(nE_HU*w<-siYlvCr(+y
zg&P<#06B`;4PK5#tJ1BmqObsF)-i{0ySAxYBk7!WyIW)FqL$D-QF^8g>)t^6Slisa
zn(U7;>sE>KI;l=$Fm54B8R0+7@@F{#?oXu@P4zP}eFzC<2zE5cpdUhd8CrSN5oRdx
zJZ@n<({F}pDLoWrCnr@flT;&HA*TuV${r%vNc@!(;kcT{7<4w%akOf_5^L&fz9>e~
z*VXD~${|jv!YPrI@twohC@J$$#E4X*nP;?uo@FDx=FG3eKpfy0L%3KA=+#^~%>1gt
zM_>8b5n{;tk`qfK(W9Biw7tDbOS81XUbPjCnH3TDA@azz2dH8u!>wA|<al|GMVp*l
zUD?H1igOl2-gHCWnO4EHBHZaPiu}j=K}t<U6$(bfrh1k4Hrn+QGE?GIuPDl@jJ!tT
z6K!Qm73sKkI;DZMMRTTBlU`_vsdbcfEIFE;xY6lfv{k7!lpi^@I;V0JW)AggPK-sO
z2tm9}!AG=)y~`*EnHQ#=X%*tlHs8*TDg`pi%q3|XdsmP{t=bR06O;v_PRf|(9bvM)
zwW@u}lw8H>FPEYb!x_#0gjp4|__{H4;DWcQ5SKWyDiSN3O6_CSF87I$W@wN5l#w22
zF@4J`-*TSfG~e6DV~Bo3da#z&H^ln_^P+k6P~uo;m?<RKs_pL^F5T3sq(ve4@HLg@
z24^k-*ICRM{XnZ0pH?+u1t$lZ@!|+07&n@HLYt6QR=LCc3R+^DvZkCbI3bF|=LloO
z7io{vDoS};yMAHRzPpdN*$h9c*1lg^C4fgVil%h;@i>~Vw59z@Nz1eY{o<wfwLAT)
zDj%^(j^^XEcKsFQcP0@vwkl5X10~Z*9OcB)l$zxeZ8qcwPDwEL0D)RcJ4N|`lgd+v
zp+05IiP@)B8c;=f#Objj4xcc<M_JEgRWmFXC8af5{(wgEbBiVoEUQ=zl{9xOMuyp1
z&w*i?f1%{4Z2#oG>3xQ#4oOQMnU2U~<bVZ}7R0$Yf^bElC?W=Yq8WwoCx$;9H@HeN
z;vm6QiV;T#uF{M+9&p9-hhqR&8Aj~<U1b@u!*`X#C)0J36XTeEk5PF>1&k^%`iD_P
zMyD86Vzhx#WkwtVxT^4ny}v7-(E&yYjM($Lsxo4a@2bYgi$B%*^9`rHk;#yKzN-c!
z_V})vjM&q=YB6H}?yAj*-MXs|BlhL4y8PM0Y4sT0V^p6}7NZ7?*oV6sGMdV$5hM22
zu0%#~(wYBpHD<^T+SP<V`<dO85qoCWn~d%=YQ|_Aqvnj*FS}YWVvp=<$scyVuD2N7
zX4Hz&d`7JqvHx|oVYHP|TSl3=4BIiZ@TWb0*a5qe7_q-~bzroKQAb8L{=Cf}_O-4~
zj6P-5nbDt&x-j~gQCCLnab555hyARp8>8<Sb+=~XyMy7ooOqp44@OrQ^<=b{Q7=a9
zb6v@d*vYz5_(PnQ%7~q+t2d(@MtvBuFLm|h&vs5rV|0#DKSmdUGF|-{KI6mzj6P;G
zkdZ%sT>QDkX@eM@Wi*)4hm3|WddO%fBleoEbVlqfT^WqnMY@JDV!!Ab&WJstYXqbG
zOok&FvI}&LV#IFGHJU$XIBg6g_Ia+cj21H*$B6x$Ydj-%ZmtQ8jxn0ZXcnVMjM%%m
zCNm1>k5KtJoR(!}{bSGOn!+6RX|Ab^{==VX{9$M2dXGQs#9Y%EJz+G1(Q!sI8Es)S
zi_r^4vl+1`bGaG)!svZQ?8jW$jM#a(GUqTn!f-Al_FArajO_f$;g7_h`TPmx&j<Wr
zhvm{3c?*(1?5tc18L@A2<uYQ2<RV5s{8_}G8JzYZqX!n&zr_sME4h|1`i;?2M(mAT
z%NPaoXE}dva@q<;?0#G;83poZ6@ON6+DD8|F#4Dg`y1D4M(k)@YZxtJv=%7SmB(-$
zC;IW{6aED7XFY$uV(zDmmNEK_(ff=xFk(03+Q^7KjB67kb}O#UjM$yH@))rfacyC=
zkJ0Ch*n_yX)?&!s!?lgk8b;e0J!iCok(EC>e`a&qPDX!iU6CGO$z%uNR>v0<^iPgd
zgp+Wq8~!$^5ae^K#XdMAc<e0PYBR5I1jP=+tzHQ+D0UidbyaJFa)@%DCmR$y54SpZ
zg+Z|cajSnGHz+4-vRj>b&LG)oxYc)mGbnZ(ZgtOHgJS35R=-fsit5>cxYcJf4Jt@T
z$y{bo>`2^dylzkj1a<$2L9s(|tFz7;)aR@`ZnfT@2I(clw35FSRj_w)tDi<26gwEV
zdc2-Nv6FGD?cXvew&-qkdw+vs*Wp(8MV}W^*a^ASzvLeT#g53Wu5}p{oKYso1p5WS
zWRK)l&y6%F_DXJb+*5;M&*WC~-@YhvvQKiWhZY$WyB4>)x#lIoV=v`azd3PPQ0%GP
zs>M<$D0nMS*7H9LDh%~yy44?MT@xgGEw?(R_H{wA=faE*Gbr{-ZZ&Y{FM`K@%dP(Y
z$FG87-vuh-cR{hcajVg%9|($lm|J~O<39sfyV#Gp)oBf7L9s7$XR1rdDoA!{Zna}$
zo1oaIxz+C`tAetKDxQtA3yOUk)N-OjQ0$}JYW7^GpxDQ`Rlnwbf?_}CR;$f1DE4)3
zb@8_b#s1E%W;T60KxAd72TfRHQ0(s9YP&NAbw%*r`7>1HWCw_*>BR)aPSCB6ZC+eZ
z><8Uyqkt$uu`fhUpJ+j`7j&yfR>TO3{hwP6&-}_D*)h7+%Uw$fCc8wpdhdtQf?{{!
zR(HHvMo{b|-RiFiae`t$<W@gfTV7D?Hr?u$$rS~~uG6jFNvI?!cAsu_Su=xT&*)Zr
z<z-eCO!la5HMMw6L9thLt8Jzj6gyV8y8D<xv2%5+wY+PIoa|QJYL_+!#je$@?((TE
zc<eUa>VheC1jWwQtqw0<S5WM5-RiB0bu$IYUe~Q|I%P1~^Sae9%hVG*_PK6#MsR&W
z<qOKW*r3?Cy49Og8VDY{U$=T@r$Mm`#-iNTRPfmOy49@52E~rmt(L6VY(OUKC3|7F
zI(<nqk(E8MTOI1tTu|(d-Ky^*gJSoJ;oi|w@YpN6)nV1%5)^x82t8;}?47YFm$wo;
zcF=CM?5Ng)V!!BC>!fxZkerF?*;BjKx;@_!O!l*GwbP#Nf@0t8RzE)fuAta|W2yaV
zQ0&9q>WJ<=1n;<@x*Rbm_T_H%X?Rb;V}I^eZ;vr3_UUf*+Y3x(D#D$k`Z~QtR(9!V
z={$pCukKdUPZ|_^cDEYz)S%d>yVWK!eMLF;*KW1&v;Kl&FYi{pV+IO}J-u6f`-(xa
zw}%vWI`cAx%Xh0Eo)M&Q_HK3E_rpX%cKBF8wMGhxoxWSmxjjly?8V*c#FC>0^*~VH
zG#Mi(js)E52j3VJM+0v4amrZ1<A}hmUf*p{nH(0l)zBW}1e3!6x7u=&L2-ECR;zqq
zP#hRQ5kE4hF9g-{gh6pIfKEu`g%pkl(ED-*#W4W}znwvGT;NvMk20vQGDTKeVUQdk
z!0enfC=L?b>Q9ylLMR6c(2ME@^}C>M^)M(77~JZl83x5cgImq`#Gp8EaI4>+GAIrn
z-0GS~2KC7Bf6g)!MHL)GxYdS@3~G&_e(PgU989>?L9+~s0}8h~b-6)tP~ld~?>DFu
zf*M_Nl90)vlUublGN``<b*-a8owWQX1k8Q|4e~v~9J*)H0PT$lt)wYh=7g#^!Q3)o
zu$*O~_Tf?otzcG|);Y7dHskZwTE@f>?ZzahR=0q0DdcbbezJCYa;#Q%+DPsGr19F`
z_ory@&6;e<aeYR6-<CR3UL{GPQ*|YOt>gMct>*lmbh@O}oKjlhreepfQ(DUXFrOT;
zTb#EbE_=8TIAdC{RwHYgHhX#x2)at?zEVd~_ueDLL=Cg1_q66<JE^^R&uvNxhiuNh
zhf0J<@6gI9DNdXId7J;y%o_81z0!u7SyQ#?vnFe`Z@1yLK<vHOI?i1}g<d&gUy4?0
z^CwO-hocnf6{KF$eL9#bn&{Aya=f)?bDUa(7d%7;9lsz#>vwpP*5$L8X_r?7O6gjM
zt^KqVl$bGh8rnXU=6gvkwA>BT(3vyZ@87!2Y78-%xejgg6m#rqW=%m`FPm+BwWi$*
zrfFq2w9w`+D34w>*J7qds~m-J%ZKe7rj^;=T1zBf?dJT5|63KJ496;5=FW=u#Jr_h
zCD;F_8!s03#l%fTSN6X?`$ngFl8`cY@j2u>rX`(?(9SGxp>pJ7RP`%{x|cR-#c;@2
zD`aT5?s;i%tolLP2(@f$D9(@_t+kYoCSXc965^7pKF-tD=5?dcT2gD22tn~bXiy|3
zC3>Bz)i_>^wzZbp2*SDMyq3Q<SnK?EYeCP;57ufvWL!dfv}Tkx>0loS<}k__u{PS>
z%MNYQhGLk%5t{xB%MUFo&5~Xn(VL%e(;_tJ6<Obr-g#B+p<$o&rIa?f3d_0W?W+}h
zY88{+U|}CB(M@`rZg<87pz?KVZROu8UFnEL)A{dy+NI5Dw4;SImE>fpsWxg#8uwJ2
z@#AQEzao~>=#Ek-mJmmJXmIv0`l+<^E~S*lo%@H|Gep<81NoQywYCp>(wwGJ>xBha
zlvpCZ)F2A?_nwj9zVthMv}md2ZR61}6ppS}$MlDt7^3ak-4&yI`t=FsA@tPqZ-JAr
zz*<v604`%EhDssEu=G33tq9ZZ?y=Kl2O8nEca$_zySFoy3M^6x6rD#aT>EunU!!Ui
zFl6j4CXJ?~K-@2v-N2e$Mr*#mH{=wj7`x=6$zB+?-jCX7Sx5b}Pj&}rH$Um9@f`O!
zGH&5?DT_usrSa&%R?Y9=P_6i}&$N^^4(;^8fk?|WOilDUhgSDUDa`9Nt<R&@MUr0a
z;@KS;TBpAaje33DiWX_vX{{-xniNFgHE@Rvb?AyUYq8ScNElXAF|}gH`e_d)vHlsg
z);Ky?d-`J^vOs&Fh#Y#eA|5Pk<C!*9>-BYKEn|E6e@*U=TPKCg(+B@Oqpxb`k6(|_
zhAcNn^yOs!to1xST3c5zSi5v#wD$arORMqF7{JN}PTKtj))bHCkTVf5NP{s@n+!_@
z9n_RRI=nOwS>M0=(nRgdYR)TM^cxDwI|EkG5!#mHZM2vIr&jo5ChNUXQ{m@<=q+y;
zkZEh?_cbI6tZ(x6pAJT)pK7}<_I@cIgKM@b2hw>n@n6!lwFQGQ;=WdG_r=tgC10J>
zOBY5#^cA{Y1-63qH|LO3TYhb*R%XL6t@UrswUlE4+SAL<SBBaT1(v?9{$)30h^0RI
zMsG1BgMUt?QVpfnxFCn7w!13)o=|DeGH&szEi*<5g1>vcB^lBV!@F?fQm%vw-8LHP
z<xCzma^T<*RWimc$Z=i&Url;dWqI|#biRfSEvk3#zbc`ST2gPUuM92ma%<tkHOI|h
znw5f7bHcSx9|+}k*oF^JA3j1GHU%Vm^;ZRB@FT2R<Eb6Al$|!M<t<;8cU_n#>d*kI
zo%JXB-nG{T%3cMmr$0h@_9`A5;PLW8nJ`Smo$ar!$?N_<TltCwt(kSwG}ywDim9kl
zN9spXvh*edw9tNj7^rpmBdw_6pHziaO>{~=TFRXuPlb!=_PbI?UV-*xyp$O@GC5h3
zzV5GGfI}8}lO9b%yOz8@2{(RfL6dEgs&#*cIO=bca6b*FvXN2~t;71pFIP{oDJJ{C
zGhf*GzL1x#6+D}%oqGN|-3XM%U^sJx$DiVZ^9bob{9ksOmg;WKb%awD8%7Rs7S)WF
zI#8mY6p$MtsgxZe1qjCr`}Z@1D%37qnnq_O>8xl44Y5dLwSPWvfu9Nfc8XD?S&~1s
zDJJ2`jK@Mh+{+foFxiE^(l}viX|p1YWt(~l8H=HT=R^aiYO{Vy6-@za0;_y&KfEu>
zNb57w(AJAaHZC~<PUm0FAXt883VFq{kB97!UnxXO?9y1I-Fh|6<u7r*vu4`M9&T+W
z)v@+T&lsmQ-amzY50ri~`&!5*e;{Rq;RRdT;WkAsCK$?TIGm#SrmE3Wmw%7yzdRe;
zs1Jo<q=GPMlKfD#;;B5(XbtzWNPH0T?$p~Amt;x))oks5O`1RK8t=Z@t|elYYiSuz
zeBhA=z0|stJAsgN=9QrLjiW_=!k5lOO01QKUf~;hB~yn8GfbwwR%s9dl~i{#dJzrR
zdv?cgl{fFG_I0o0EtC~Tqz|Odq9hUZZuh6WcnC`<CoR=tw~qwturUmu#Y)q>cyrG^
zcqK3~!Ws65$a{?Z>tdt8r9D26_xxNthpX$b*Fd;R%i^S&BvqH%P)?lWr1&_rl!Gni
z-6}8ns(dtnLbN$f8pV-OPpDrb$PcH}<)l%bAdQw*kjANeRPgV-HI5cl!+wZQ56leL
zSy&HD1)m`xEjvXExY3!r`~#J2i1xt3v*Q29N*zjoeANg_&3M}AM1nLLE%^m*79D*<
z3Z}U=u)OA0lYY`_Z4+j+iqJO^ES#*4rCiG<wfNx6FxvPAI(s=1jzsXD){p|}T6Jj<
zc3fr>VvA5zuUcu}+gSCU4c9c`j(Eehsh-CT)qL1r3_T1{JIbkwYIqLNT|VVN*D&C1
zsi3XoP5w0`J3Xx<1xZi--Dm{BsoIU745vUVlcgZ7^Jix~0>jYD<GF82!~Xx-wuo$=
z-qXfJiMMYrIF+Y)s3&Ee$oFb*F(}B43E^82o{*th$(vm?|1VW48Xih$Dzfm|3TGKn
zlm(+ZRd7+;5yXHUd0?H|+=qU&t(nwBI>;8hGp%eOc{zn=GwhZ0+VJ}Sdl0BhBw};h
zA05R4DH?HMb!kj3X)5A}{{PeS7e_lj5#EfJbe4wxSNKocTT8t#zj$*n|8a8`kHPLo
zUR|UUMIOssNei^7i5;<b@Td5$P?Ov3rIRWj{qW2pe0;g9@CZq2XY3!s{-3Q|#jP6%
z18+!I#WsbecanNwKfs>Ws84!Vn2-~lBrlrNS@IJjAv|q*7by+<yk=r~W8V0Ti6`Yv
z6sYYrs&~flbUXkYp-uTbsYqH;X;>7a<+nRy$rSCIhWyjl<C<q^_il=VhCpMu>v&7G
zwWLDF%f;vK$$FE$ct7a@bgHeEa4wb{J*6XB!Sa^Uw?c@2L#YoUogj?&Zx-5@B(<VT
z-GyRa5OJBYx}fzTDxYE*1KY=={S&l;e~QdOAk0CklrG)iz-qL#g8$c>7WbBdz4#!D
z`(K65q)EjnFHOQr%S!yVf-d!z?09m_Fz>0a6@$g+T(4!OR(+(VVDX{X>#Vzdq;gVO
z?L}HiYVY(@kc$t)UeEP$U#Se8=?g=|FE#uO73XuZ*E1qd3&`LLwbxi$wPwNEoPJ)E
zo+gz=7CuPhEcLllan!Isc6vM0r3#ca6xHlXmm1LMbg3yh`$;pAozK=dyLh}!h5cdW
zruUbIc=0J4r`O~s9uZV95IfaP{jqy`-vzTYbbwS^##?DT5urPNekug<LEQf;fR~=0
zmm~Ip8RLfbUVxW<W=d%<KCt6bU5ly-p|<H#dD=EmTIj_`cFaYXiYFur4^MVQ^Ertj
zi;`SYT^P<sMowx!NUFrI&Z`cHrNBW_12l|}_E<<$eqcgFTnNPO4w6dI{dB1%*nGOj
z?7E&8wvk>{%yw4iq$sL0ND7l`6|wEcELpAe^<b%&7oYiY`TxgwpByALqlk2AIrpkH
zkNhmEHbjc1Zw4cfNg5)R#1eV6aelPh+b@J#_mg~R!Vsw;eU%~2&g4VUNei--^x+u;
zQim=W&|rkP8htH^&n{m};zP>UlDO5cCGm0PYe{@&i6pNv>BIZ>q0__A(D&%xFezGo
zY@xv6(n(3D4x=%avENF?sl*5=k@k&~N>k<tsaI}}R62L0)RS^Dk&?yey{$+ZCH0_7
zBRSJ3#45{?iyn`{Fm##*l<_BYbmnNt>Aw=>@1x-XnlA(T;XV#)#*P8w{jWgI`$vkT
zhfJ<n3bM^3DS}3i1vzjF$OD%p8(kiYgPgb4gFGHAm#0bNz>QrDvTz(uCw7hj8ZurQ
zMAh?vo{X3J(k|xSioo0GwG)u}$3-B$CQ8W^`U%kc6VaBOFM*C%l8aG^NyzfyOpuwA
z(4&&MK+h*hy~wc&DB--SP(}l}B(0r{eDkxB_GFISf|4>p7ET12zDlk`H<`?v1G0UV
zG>Lwh093dJON~D92_d|W_NL$|Xqsg=7)z#LvoPf|padtxKdoYMP{B!`U~2ihT%4v%
zg{Vf{t)%I2I{b4Bs`Nm1Qt&h|#_Yn-YY;qX8m!+>`;qN>w527rdJoLcX1^k{F5Tj^
zOFVLrltF8^0io_dJmmGG@P>GbUv>s^+<hPEvuEHCXw;`bBRg4YQMZ|3l;QsDor%M*
z(MN#l&O!&qej&lgFSb;sJF}4G2G427*-|$O*aP(97cYgLyRkBt`8w=$tg1DH9?nL-
zpLB4C?m)Y(qpbck%nea5X1r3OFLnM1WQ9f6ij?<0O8mVO<mN>fpJLhA5PdrrWZQk#
zs&qXY+}>!j7>0IpFbo4U&bu4Zf0%<gth*89i$x%N%|)-O^ZdUESM2m+E;OdcWRL|P
z+3a-P*H(%0=RsTzmVP@ACCcX@*!^NY$iE|PRq4+ha5t?6i6K;IXc=1tnm!+C$vnf*
z6NPTihx%VX01`sqpk*I`JK;moyaBXhEYdgpZHuSf8q(k02T}~uZdr+?77LJOTgPeP
zN;UeC$)65^Y_w47N;4M##Vk-%%3mm@QV6%=>sCq$O36jOgHu5s&PCk;Jg>+XN7#cW
zQvP(1qK?yqQC@Qp6PCA6X+}#INr`B0;c%>TjLt-wyBs+;?^B{^?}yR=`oL_6LTwjI
zgDGk%tath{DTWe)5es*Bs-aY32`U&n1;sL#AnFU`C7hS2Hm0<tU~J{(g(-`oc23n!
zx0j-E_gSU#+9S)S%cMqBVxdtsijumjvD9ukitX5rwCR1+s&tjf);qXFBBUJnNL96*
zT6T(=r3TZC6=1$N3?`~*Naa?7e24WPO%Zux>1$4F{sGeBSHZw}Z2<aim6S=X#$!Id
zRukxxkC0<6Ass8b998=mWIG;ltV9RZKd<`I=8tifafyZ0UJdP;a}?-uO&^77KT%`o
zpVcT)zzWuVjns$E^Mqod&!(zuFJTK5x|LwBPG77=zMgCz#Z**Thp8yF0_65}n9JPF
z@Z*V}NF(T+8)*&ZqlDLbl;|-D<jEEGs<e#BepoiSpF$(82a&$$Q`p|EY?i`5!xnr0
zUZ9w^US;UmXUO{{ORuy+8bg&?1E7oweZ2v3f2}njdu~K!zwyvcUhh?zVm6^fE>DJ7
zV)M3o)uw}-_H`E0pp6PW+vin@x@<<;6}ISDyk698npY6jI*J#>e=#Fzv}m46J@Zh{
z12z&^L=&hscMAQkKs&Y|+rW7si+zp}*vCy-`8kwr_{Ts?+jtkJW?P{b^|&u6;YE2{
zF+LC2`ioXv*^Z;0Ax-V{);4rLo(-IsjMLks6zZ`AWXt2;u{3%+>iLCNwx`r!n)EqH
zG<!S^<<+_2u6G2L)se3cE75G7z1A$Ca!#LEirWcBKek9;m+(Q<!sGxpL1DX4(f6Ya
zhJ$9t`$W>=UEp3Bjx@BTEVbDUa^PB!utB}4Qqd5e-h-p_mCbF`eh=1j4;CVthxEbp
z8{4~Hdm%l7^>KB3pSl#W50ad$ag+B+-Dxe`)F=DU@$*n%ny??58OBZC)5WI(RXKpn
zmqvi>IUdeq4U_UQsR@<K2kOBLcRqUm6=sPdQ+ygy+Cea+%^;to`ZOosLm<7_6JG7(
zlR&GOe9WeF(^rUTN*@OKF)yJRhjBI~v43ti2o=>l0!D2%Y{`=_7(1ABzvn4d`wNiv
ztsv_U_o+h1nCzbqQaI$KFF|Ir6BKoP!(=?K|8nDeLaFsvAXnxZ++;ez9zEeGx?hbA
za^6v#YNTv3xY6|HF{y)i`sI46^3yPcIIa*oe-L)NN->(kY4MCUGpf(%dq!_D;wN6N
zE{yJSS|3Ks8D%hXGItWA0#0)?`iBuQI>l(Uo!{+kV7P@7`3aY6KclCdc7o9XM&}vL
zWOSX;=ZyYj#ILnnFBpBpX$~)Z_?4Ec7$Y~MvW&Jds?I2jQ6i(yfHGZe8D8VW?u@Q7
z>d%N@V!1{#+QVs67~Nwumk~}o@y?LZeMX-!n#yQ9qsxpAG2(kp*J(z4d+GX-(SA<5
z!RUM@!v_r4GO~E%vyqWMBfd*?MKbz>(<(5!&8QY5zF%{_$>=nr4ve-k>cuFR(I7_r
zaLP57(OgcO&gf@GA9(Y-(M=3ja3bG_xHd52OApsBMxQeJk`do$xXv=-hf%IVMproP
z7Nez%9y9umk?Mob4o1O@t}`mhXfLBGjKt&L%z6x0a$-wH#HcePe(>b#&1eaubVk{X
zCNj!lG@B7WaB}4`+RkYoGvbF$t~^HPIBg%Ji;RvlddBE`MjwlJqt_VT;>3H5&N6z=
zsF0D51D_8Wg)@4{s0^cdjH)r($*2*dUm3Mwl+UOeqce>9F*?L(1S9b@I14D#co95@
z6K64dF{8tb)-n2$(KbfM7#(CZozW>q8l#Jh#EanH81X@(>pr7hjASQ1;tj4JBk>@(
z1fyS=TRxMacpF@k5udubnlgIAD2dT=Mm-sAVdP@;g3%a8>lnSq=toBL8LeitoY4_R
zpD{YfXeT4_4EPI1pNMz!-!K#}g0C=Iz!`5c5-)-uF<QlGiZ4Ew7zHsB?|@?%&ET}k
zjBYZj%jf~47L2}S)QQn=j8Yl#^B>nxM&jv@YXU>@`gazi8_ZtFXa%E>7=6KLGowX}
z_A<(2bc~UB^7|bl@#ObsMqe@aE~90Po-ul#k+&Z{A2AB^WBbPk46ayCJj$plqaPSG
zWb^@}){OQsdWX>?Mrn-JGaAll4Wmp(&lzPi5>I|VWHg)8)-pQ5Xe*;TKviA&4FBT9
zlZ;L>y1?i?M!y1$%C?S7?=!;uDT%)Ov=k-L<qC2DW&I=t=}!x!I6(*MHNTNECHktS
zoX-2;-qfhBC)20jN}&?df%-S+q<2l&=zFQV2|qh8Wtgz?1!<y0WkTheRB#_#L+qiW
zsOFDSOR|N@vHC|pN`Vr?0R4+gTwcJ0E4VVC+ab1eY_%h)+)v0}7;1~vwV$L&iL#2>
z0`)^zacF432G{UN#(*2IOPx&^{40*)a#x|^oR8$%yj71R+YLy%y9#^ZVK<~NY3FqB
zbnM(q(4pUv9<O<uqfq4!sh@>v{f?h-i?Z0$hg0!8$m9J7_75}epzQQWo5|gM7yDyp
zNt;oa>fZym`3q0I*!%ZD+bkyc?w{aR`$!dK>(C#gaWYWnZ%9sAt(sZZ{EaM)+Z$PG
z^BF-e8q&eTefI&l`c$8xd|Hr3+0ziNg+D~vS1mjxaBk3t_O`^1;_M?Za(?kjFFHI3
zqL?SBE$<I6v#;4tq|*}9f%=eVQlu;(Eqx(<LWS2Pn+o5^H-X!e<nd;<A0;`+$fiqH
z*~@_IN+`0KSj8?!n=sj1u4uxg4msF_hkWHg6aL~aKQ+bv9VicwsMiX+IjlI}7)JS9
z?B=K>hsa;jfbSKPi{p+8v@cY~v|UupEak(HrQ|;dzI%qtBk1pcFjs$vBklPaFS8g<
zL}IB;aTJUG)*J!aSsYmoI@ELy$_7(m8FQ%hNhRbm64QbDwn!O^LBM9wJQ4z)iIGQ3
zH1R7XoljJv>0BuYPCu%|>Wxdwu@d>6Py+QavGN!L?kLOIyH2&I^RY_^JuZjr^Jbep
z)ceKBeiGAx`poijR}<c?AY&~&8tr2)ARN=A(y1{%v3mQ;G8O}1fIg{;JW8Um?^@FN
z+@=IgN`U0MDW=ltHxlGviRnP{t0sRdx%F$+<ex3nvlUv7ZF>}Ts)Ygxt<m!QTAa6_
zt&*Ty>&W#445WlidxSo?t~^hs#0?lJ&q)xjHaB6oV(xhd>(3i-Nzlk%%@U<IX(Z1z
z>HLj$mD+aWlbv<YSD%wG9TgkP9~*4Fu!$Tl8ztl8Rh3o-B4<vPvn*w7^Rd$8$uJM^
zG?TwFrA23|s$RQ=?EAmUl+knEk_*k8ca|$^ZkilIr`P-7v~D@%eA8NvH_Q3ItEhVM
zcJc-@cTPzkRlm|+zF^V^-j-wZKRU>V3|a?$^(8Bs{H8f=`uCmX{jVhIUv`ySnDXz=
z#A(H^O;CNt1|OTA*j>)`<a}UP^*is%<IS8a#-rDBrXpv~CTt?a_<Y$*&NH(=pM&i4
zQsg)@dqFdssu%Q@!%UjHxg$*uc!fl-t5d=*ADc0HBl^onO=0GkR40s6sJ?8VoM05w
zuMCp)SKGIFi2SojpKgW*e3tI%zP@6Ze9dG5#!$aa5Ore2zebiYvLSlhXnB!G=-YA$
z{q`97%U9{E<K$juvvd3~9o;6%KX@dYgHlEGLx&ceGdZXKvZ(stEZJ_B<l)mXd?QSn
zC)TLG%5<4tt?sWG@)(gRn6k!Ois>|4zHgz+d#&kwkU5Y14p{>z|B)1|Z=NgrW7!_E
z;?QxTHA25RPi|<^Lc6=qm!}xCe(M9-TQ;)hoW<WK$=Qv~YsyX^FM86{9-xm~$Xyna
zE-sO~yfQ2Mh;>?Uo{hAs`mzt@N`@dEIcu6SKdop9%GKm1l(9_4=~rv4o%ze<beZ0*
z1mBE9mMJv2ipMtxe<TM;Oq<Q__%SzI(4yJ-t7W)NK_@NrHq{e<HX&Faw3cT|aN2Lg
z_?GxY{@bK^yb0qC_1upG+@<?`yy;Xr7SqsA<xOUuoQe2LEcG|Z74+l{@{v~(btG<<
zsq|HhF^+>95N(02xqZVLpx@oXRua%`Y~!umSV4=%Zr;X?HRuvnv#~Kd<uJYH4tb%;
zd1+f>4*HbR>+F;d8l2ofAC;=)%a!%S-SXkr)85+q-)SB9znZ3_>`2+D-qX7fz2Fcp
zOVOs6!-B+O)a$U1qMtk>XUWu}6lUhXPrPHvc9i>G#xq;Pj`D1QHV0tyF);v4ivfr{
zAx|^;8_Qw|?)sXYDCgI&oRZs{F!7As(1g&x+6E-R?yu-ttMAwXh^hofto{Y(S&!0d
z`lRzwcvISbk^M#;oUw~&u;h>2JkVzIk}q-dKqu%YFUyln*2;Y_UJY#)hn`U=|7s>)
z`9*I3O6{kvvQ7v|Ni8fvgq-y#@_i?4eHQe{`#KLivvm~wR;Dd&5VQREeL!zY%J2j(
zr+(+gfi@fGxXFzZv>3bbw>X{<H0v`#pF?#2J3M<L@$?)R(I4*0f4xEz=mb6FFBxWI
z(0zn|h*`H#tp`%9zUBc}2Z%qsGY^LB=YP05LFa6fqxBAtxH>^+-L~6>-RD0XqThMU
z>&hq?XSM4qpUP`xa>V<jdu}dD(WMs{_nd0xxCiA|K%m|`)n&(7$ifOD{vzq2t<J)Q
zmTx#)f=-eJiUAmiUm6&`1HSbPj^7f>SP*kqELfL<&9kFpcFM{oT?1Bjl4^k-3BKtL
z%+dwl;AnUDAKn4_UtX5RW|sDDn1i+s%X3qtXT^n5^fG60n$!(7uJyIRjT#d7KvM_#
zTS}P4*`@1n>6s>-KM@08JH&Fp%ztSC#QTR?GE6=@8-lZOh(EDXu-xgS$=xgg`pIIJ
z^JWndj(ihgS#6=VT|AKyZhms8a#ut~AI4ZPSAgbReP7aoxe~OPt7fGwQw>@_A8SGA
z!7N=WXK7=?Uga%yO}M_I<+4o8s=|7C^l>W1B*9IHCGt@`R|VSC!omcuifJ8Mh=~`h
zP1|fLb!}k@)tvQ1b>|xvxaxV^5C`HOC4u(U#FbUv4o@6dz7~rFU0Ls6o23Do_TXF{
z%Lot629ZV5t&0d-CfBpT2bJC8Emm^TrIw2>AM)&K);46hpv|UUYsA6@Ef!42#+EFT
z=756`a5%Jtw@cByk36&7tSQg3C<3Ds<l!bz`_ov(<C<B%Ft|Dv`8k<BT7^-=U0O{#
z-U?mx-|iW;nytAhpv|U?Y{N|vv}nrJww7Tg&6Zam+}`rFNqdYgYey)}Z4a}P*}*bH
zrtsq!Ph8h!QevTJD8o8)J)q5cI(OlE1TE@0+?DGQG%K}^5Ec8CQpeD2-1J3|+yl)n
zIPYop&>of$1jOgjY*Bn`PfNN<C*Sv0^?J#c?Iw*_QPsUtEq{1uj`*B?EU=HFJc2FI
zX+?aY^lPueyS`ZC^wtylv#yJrclyGydN}^HEE`Lq>p;s1lbrxP(CZDd_{c_fF<!|-
zERRh7$`BOqG1cNlo3Hvf=+0Uv?j%2ejAiMTy=ET7aAp<p>zrPC&M*tMghn_2LAS<^
zunaY&b4aVd7-d07EchZYyfDV{fyoyO^TY9$`7$jS46lM)(pcIz38Oe*2o`4f$vhu`
z=ECfs$@3v-u`thNS%#YQiV!cmj&|?&<cIB~2cI}gQ9*ZqtKRKB%PEtSzgV&Bi8CyB
zO*$dOV%OiAWkK}9lJ$0O3j#$^N#aFhP0!|~BIu;c7CVLh;Zu!LK6P64qjN2nO(8LP
z$ax^gf=#W+8TA*MbKwKaJr92aZcw|pEm6cnMi{aHy~M(z*2cVm3-GXQlt0{J(<8_-
zMW$23Jod_Gv1K%UJ{-fcW-*2ZPjymPtCjShmtaglG=7d>Ja<@T87;}htklSDiJ?Zf
zFmTZuoB_Je3d?$teqfF*Oh38OvR$UbU9d63?Q=2mUX20Yiz`Ka^lH}F9^KUhea{-p
zC;<bhZ7kN*Tk9-4O<K%q@%5I+CM|TR@@E!*nTrPM@SoVQGb9cg_3@i6R+E*p#iE+5
z!bXsqx7G5GDJ6k*Cx5%eX7aIeeQEg?c>ky`U{LPN_X^NU@3bH)5tTgKWpSE0q0?s0
z!p+VgJ!!Ayj44z2j=K9TH%*$gTW^%l%Sbfu0G1iOdlXhN=P;&rLPyx)5r=qM1e=>g
zXi})2a>Rmdo=7Zgj1{u+4nhPp&X00J9X_<F3&PXsUt0FPB3Fl8Pd%dE<l{y3%X<C8
z9bR;^2a0Q7Ti!A|6#W;f$SDPj{k*_Zg1pnvtO}<s+YIUY-2zK>GpE?v)j!MbS~O1V
zbtjx-XDVnhh!9ee3XVG+l+_d!-T$7~f?$h1)Q>+{N*dX9zaK5w-U*i2S;xC!Es`%=
zB8<e`-_fLh3M_H7>6|l&Fwg<|l|oBBvk2=6^}AsSp(UAUard7sYd!UFv=0qY^_c4x
z907?MpeDYwZ-=vdZUeMx+OL-5W^SQ0kYg$hL1}zx$PH*h!YpfyzV8nUHb_DQ>kuwI
zF&E6vjdhq^JbTN6sNTqe>C!P>f10#sPF4NDJq}Sgla66RfFtrluguCaeFA)G?q&3`
z#skYqPjS{Y(Uyk0JVVg!p{2f2T3`2=J&zD1;*{*C7Q}`x1uvByF_g3pqtoX_Q4?bp
z!PqyDtZ$e(F$=zQbFZ@uB^2OfBjc<kLce6OUNi)YNw~h(S&0fF9DX?RLIWceE9}3h
zh66M@{Q)LQNO(EzUG3IyObNWxIsKiH1&1b)4jUD2hnVT!)?Ykg5S0;XX>KgMiw<j%
z{x^XuI^}DvV74}^E=EMu#Y&+k1z0<n9N|l_+Eh9fW(}fuusPO$39_y+t6=4$ufnV)
zDX~?6)9A?0Ay#-Q?uecrW}RpV!pn4PftiZ6j?+ZZQ=z;)qO6KZivgbyW5o%f;PWcd
zv5F9}3!2@QzBJY<8TrM2PmDst67bj={Q^uQ^Qf%#zw}GL5@&s4%0a_?NtDUCVlAU5
zRJ8UqTOi!o?#kBpE!40%+?ja2@UIs=J*ihqGi=veRkOmofi|O!S=Fr#1)ZQjc*8o<
zWW7}Jxpl4h+lcEBJ@2k*oo}+mu6$-)D<b*zmJoeKZ7X~+%hWM1<zz#={~?6b`Sq<>
z#-chLpkYpYp#YFsT90aE{oNGzVkY{=iR6F8X)4#C#ylRPV3AQU@(exVbm*`tFt>s&
zR<tO6VY?+v|E!tyTa$Bo4}$nbEvz^&7CB#PsmLC++Y+sZwX$NB2{tU8*$lSmhM{TQ
z#+q-iU(Or~M^n;%OQhbvopqO4nCC}NOtQkE3t_@Nwe4udV*ghwqX||$LSNI#imip<
zh@DDOwlOZz!nEr!?XZ?bf(U}j(%rA%#K#}Sk~#N|b&sbs*PGY<-}Ub6VZ~|2P6xE%
z<qNKR$=1PiJHVp|Q&LzFK%0tiAe9wC&?0WE+{cRjhoE_9pdamPMTEk%ezl*qqXB82
zj;Zq*Wla=TLti=23X>-?tsZ1;VrCM@0xyPGtC=*m&#K-k!<uNyTRPmz#{?`IM@%iv
zT*>8OxqFSVUXaPw35UiWy^f_b<E<?zu8Zg7xWNSO3FylDgo)e<Kr{HgF^N@L&_yb(
zPs+4@XC?|W;+zG|E7$=~l~)0NQEU_TPT|Eb3bGy(^jIZN#!%rq9!#^scNnrgs;w7J
zw<18`L>*d<vroYnyGyt=44|Mz9FHkS;3jCpDV=u4Qgj)QS==y}^;ocl9)Fm_dMs$x
zV;$Bu)TD*tipITk4{a7&acVOE1i~%6&>KM;PkL?)4ld&10$o{u@gWZvpgCMamRJ#f
z30ioh6XhHw>5IqExHpzrmzkWGs|f5EYIw$pZ6>?;>MOX)qh+9Vo>zdisr^Tos}*Gt
zK<@d7>jgC9>PH`Q<$@M*b^kTi83wICUu#7y!7RPvdTX)?mwaaJW<Y9mMz-tDO;(&@
zi(F}W*5)SM`?<A~nd|Z?<SM`2L+f*OYiBdp-@B~8%k)68rSlWTadbt+&E4<&xP_VC
zHgieD9pDy%PSA7nt>a8q(R$V64_R@DFY=2iiaTPBkqw%?E5W;}bnBcG&q=>?Mvz~t
z0Q}8x9;vNg@<{C=t8u)77m=lC*D(xKgC(AAT$$tC7SLu}`kdglfKJfQd~F?WvP7ua
z<COJ#gJv(Sw<)j|myMDu`5Yzl8!N&LAxRu3ZTQxTtp(F;(sVc@_$I*?XDBz$Tm4M>
zrRLA6<)~x$<lYzAE*sJ~R$lgoBbx5UAwrsYiPwYR2!qZX9nMOFw7)UVp4XlwXxmkE
zb<iX8GE$HE*^2ldw5f$@*Q~gX6*TWF^~cxQL<?F3X@$R9ajU}gj^A0j;0V9F;imPT
znNuux^>?cuE&b6MM$x}u*l*p&qdbva&%etaTa*;LT9I?fC1<da)9WuQ_8o$aA@<UL
z{M(8EQqaQP2L59mX`yS&aRBIfwOW&^K0&umt?-J~mp$Rh8~PFMEAyXPy9t<}zxCWY
z!AK>nSXICD!g|}J5qzoiR)h_a{RL-bJw~>{H*$Gm+exBzf|G2u5w5rP;Z6+i(!~4N
z3Ph?6s<R&#V-~v&6<^9%Os#3`WrNm$PS7`d+n~XMB~Ig5rk>=mMalG}K2Cx??`ua=
zL89mAcak5A10ATZ^tYiO42@%j@_{yVM$jVs-xp-7D$|U|IF<0c%B?|*Lea2IPdz$q
z4P$YjE9*_dxnY2&xV&OEoa+dh$3n+gAi5n`33`K9z2oR^Lyxx1k76O9%`TpfW=Vn;
zeyc%A+gOtpX7*Gm8;(m3KZYUnJP006E1zKBX)Vi=5}(8RiQAJV<yaEv1U)a#HpXNL
zN1j;0R$ivb5f~@&g7|VJTM8YB@r+aN$~I^)XtOu#s@TSRXx`2B8g6rte=|og)wkme
zYEXi0iOJ@zsUBU;W|58J2rm(NT*V1Oi4C>@ef%3XtSKQ_bf#xb8_rM!4WFUX_swiE
z<oB}^zY4kmD}AW84Len%9eniGV=?N@YiA3mA(aB{`sup1i=KK>Pi{*`DSEgK)yNHO
z&_q#A=v(A|n*-dElyl8lOmE-F1`8p$;ut;a*h_8%W$cH5Lye2t$>YWCDoce4fnHR6
zFWA?c+I}$P>)1PD$039vtO%l<R*tfI`<6C@4I&XHD#&PZX4Sv|eO@aYe6`?+wLiIy
z4gOWotaiDT6^D)v!m)}pq1i`+6i4o_&T@4080rq`U_%5axWby;?r1}dRzwr%7|MtX
zwCOROZP=>_4qFf1r>pIWNyA)t(GSgRQB*JpJMT&ha4hg{w|@y1g7i-B77eiolF?qg
z#!hm0(~XH}%(R|1Trr3$ibU#J$$0W15=D$D=G6D1t+f6{sts3fBDc^BbTpVYb#VAn
zn^8)DeyxuUrdY7~fURh@gDEfF;neS@c?O+4a}vWG8zpC;J$rvbdrA%X@AepZ65e(w
z<Ub90>bY#V<rCG2Ga2__+b&PFrgDc;;oA;xed5p}^%K|BJu_^-y^>SMG8kw|64%;=
zBW*a{6OzUG##a+<;rhwZHh43U2-6#l^CTQKUKv}YU*a5a>~tu0(rtun6}#eW>E3u7
z4neq#jxrC;;ym3vD<WqA6_yXQ69y$fS2K%dPHf)_vx-zgoE6@hY8&oRDBixIHaH;B
zB;g`^&9uRz3K||ZhzjmF6O46mezpyFM4}-Z-?!mtN<io|yobmyoDJkVDF1yt5c12h
zU3x__L2?u&yo(tQtB4tH@_`Mz1W{0&&Sa^IQIN8J4OH}o3v37x1sk=Mp%uRddQ);d
z3ii$Y_q?8;W5bnif`Z@C27o<j(Z4ij9qfeJKDI{$dt_FFA~rg(#HQ%Wm)a1rh`NLa
zth>Ti&O)I*JO_nv9~0@19*FZYK4!BDXvTS)R<l_Zw21RctYt?e=u>l`(D-*n;;5b-
zbNBZ;wu{WsSFX1qloFZpvGJhDmT1z-WJfI>b`eHQaBlCh+jaj<MLFyL;cchFXUGYe
z<zKOjEAm(|MH$~8aqyb;xef8<YtoZ?Lpsdi3$qD!-PYI4guu~G-|ewAVS{LzyuWs_
zN(vbnKiL}4-D^%i9o7zxTO@8Mi^jo_ViUx)o{?{BY>KNNs@nDAhl<)=P(cZ%oQKZp
z1U(PX-~NK_kRfCcPIMc7#m-02EB2uz>~ArX&RBt8ZM6B;RwLKtu<18X*su>58H*Ug
zv=K~OfF6CyhVVzQ3$jtJT`aVTM@p|!P&B41XX8+KLUoh#in$x{4KJD^;W}!CejC!b
z{bI;pTDmX3V+|DS*F?hHmC*k>&r3?Mb9$nWKU}ckJ(i$f&Uexk{Msk-nbXIxcWIYc
zYegQOMZzrB5T?#p)pW%($vP&aq$%xX<&cI~8bxO9$<M6NJI^W{gU6BdD?*i<=genX
z`jB5)i9rYIIlpn_1DK!}``w1S6iy{^qG$N^5sn}|{}0=0ljE`b@c1Jf!TPdWJe#77
zh)Lm93=ZWDcPRR%J2sr%3HHAVM$zQqn6p#&xRoD1meTn*Nn<F_*AsKJxNi%>H5;C(
z>4P8G-W4!7cP+;DpMPxF^fHGJF^%P{=R9I(CK5%kiNS;Ce1fNpMq-0Ma1f5Q6JpYQ
zg|*#RsU?$t2hSQ8J8=9A3h&Q4V4=6NC>SF^bD__&Dp=@(77P7>O&Mm=;${NY3#(A@
z<4a&ciRdI|tRtLY^NZ^%yc8I5!R9Lvs`my4O0d}l7)xWDj{@Ig<mn090d|z0=TvZ5
z^1ljRnP`j9zw=Y}o9viFxZB<sz^?!~yPhAUAaW2T=S}po6ZzpMUjDb8HlZiFf2fj$
z4Q+kg*&)~-PnR2d?(CKo<F13QtY0k7y#_R6zqd*#2pt72c8Unu(2WU>GP-w^vf1R|
z+(D)D6_l#9e1^@b`^PAV07MzQ(@|+%4RG?iIjl5qqNBLsT85WW;958jc6nZUQmleq
zo+wfjlu<&wf`7qbk|Rt%QC7kF5^QmNCM3e!gz69D6a*E5!>!QK3heg;%@Ng($_gS(
zCb=3yHSxl)=<qA&%yNj~a4ODqy>ux{t14KWLX0^0g9*WrDbqT9<YAdw_V=g}ekvD6
zH)<;_DRKbRsB;}9SYjAJLTx^*tJE{;q`G*-Ak|l<;nqDITORymPW-g4Bt<kr@%%{7
za-G?T=L57E%72l_lOkxbDX88=!IBWP*eK>VRdC{K@Hupf838}{nI*`N3a8<CJIM?G
zc2LV|SbtZWvBHUrVlAz;1i{pCp6AUKMZeU7HDvv5Y%cISzrJ+fzKX+;qe`&exwYaC
z-+bS*x%i+Bw@A?3q8;rNmqF?i+bf$)SighvizgFbOx1f^xn|NL^s3!i;c$V4ip!lU
zU5jX(R;%PUNI~Ogz!lW)#?!$$b%a_Rg?S1Q3i;_VJ(Y`Qq6obrQZbZweSH0?*l27d
znkOq9nQ<9r>tNq9X<_)#Fh4z^k8;IK6z33eY07nj)}#9?S4|e~?d*EQz@qB7p*kAM
zVLi)#+3<X)uZ_O#j*WWhA#5oGyI?6yLHN6hFFkVlmeAwV72XhWK@Kq~>|ONuEni=!
zUS*i_gUJ!s&6v^$CN1u{<3}k!n>0owRIfWmnJv@e``FUqH<{u1!67ti*JF=)-7#Ll
zmJYPJte;F^4HC5I!K_KjHk0OSa(dwBTa4~5MsSsx$#zWS6iuw@?^}XOx5Oj6sZ+S|
z28RuEj;tzF-`_Vx&zh#-rbBQrUQT-I=j)pr?5pT=rYpGEV1^FHF_EVj{WDW3Mw<hC
z?Ub9M2Iy9|g2PHfF26*$^}aI3C`97Qf6`n9wqNi??6xLHao`W`EXO+xtf&kcveNVX
zV%q{<N1!X~e=cN&1vCdBg%mvN5Hx~VyMAktf(v#*<E#+p!;5*mnbt99*rW-F!$O!7
zkxQ%}(dA1^l}PR#p?3j#+f@o&+^hzkBVPOlHkLZC#%wff;W^?xxSD4JwAmPCtuoo9
z#r}NRIt5ozg3pdipSxa}A{+F{rf6*W4XjXtFCuvFO$s7jL8FCGo;<cOg678S1)sBh
zF!J+0d)*#2j8=wWil3cAlkaa+5DPI|9HE`sp{z1Xi}78$OTnX`IjJ6lhac?DrP;k<
z>r(gg_yU?PbHxE3WI+qt=RBxPGU;b?5QyC=P{Jq+|I`m%KB9zEyA6m(o*hyanR(i`
zKrp-Mh;mBCuY?=#Q-<<sRDCLU6oYrZ01v{nqg)@LS>KssT%VvteT_~iqf8o)38JYm
z#20@wV*|PvdQzEha<bN`xV0$eTUJNsvBpGkZk~?j9g``v56qwEN6B$C<XhApKZFe-
z|61dRZxzHTpv|c(@tx8}qK{h{PF0~x-zy_2xt+(ejylgX4cg4U`v-2JpvBeQ=>eDt
z|0v&3{QW~1x0x4}T!XF0UsA9u6FK>Kjq*=n?2t2zGDFoE{nIPTZc`Ae2th?m_Qr5E
zOh5FKf~}S)4L68?){YBaxeD7=@UwE(<e-Wg^x_)+!9f2=RIdD@AjTDC_)44>Z86#g
zxhoz1)FT)nMz!DAfrvafoG|6KzX5kMq$HMZ%ionfCYujuY3?#ZL=-J34R-IF3huc@
z=~sGR7Qy@aRq#PA+9J>W+sZ;ygwb-7?W-5uRdC)dN{a)6E9op8Y`y1S$`@uC@r+97
z8FL66CpC)kjilxEAbjC{Wv7u*oJ~N}4GAJ&?rNM7h;FR^N5PX$QIl9-j~^-bO!+Ts
zPAUaUm+(|sYjO~nl+}HoE4ausdT83jXnMNF;k|vM3S(Ks&|x`D`ejR!O8W-rOROqx
zqeMntyM(nHVDz$#s^0gsf`1#(!b=@*p{+OMQUCsxd@sts>#_SkI#sL~&}Jl2+)u@d
z5wwUTX8EhoM?tUL!}D2I#nbsv)mMi;eqwU&@I7`^FJrU?+fQ#3tioGzLA^n!itVS6
zA?^vX8eoCte2UY!@3vsfkA$mGMZxB41$yxh+{DSN!Qlvk@XuVaQWBIhP`_7P#fDB~
z{2w(6Mb)9G@U$Y&i?#5)FQQb0_<}~9_Oktc#7e1SHnANsve$tD%3P1XA>iqwAEm_k
zsyZ|iZxBTu9s(U~%#5J_yS=`8be!79%+6Q9`jQHsfgthZaNbsoQ%0Vn5)~Fl?|-eN
z;<$;W=}?f%reF~;e|0rDipRj0_H1zk8QDiyRpC7>7vaY7R|T3-?i*@LdUg>%+mdVW
zOfI|ZnaRYOJd>ak^i8!?_%gu~S0r`osDGI>-W}t809TYy!MCoCMF6KOa*78Nn5u)=
zHIBs{7yjVEY^pmErd-&$o{hOW(6|I|qINT&aaQj2raH`|#U(gKAewG(!x`OyW-2xy
zr*dEn|MgcG!f9kn^rO*Yk6A2i$<jfaY8lmvJ0obJmf5Y<p(g!`b>jt{v%?Xh!%#ey
z=zewFSKu!@%%W3`JTH`cB(Y%7rr^aLSg@dlVEfx@hDo!hBzQ`5b>Ux*LxkU_HsW&e
z_Z;x&AqLaHx}K1{uqz7&?P+m077RK;&+e{{Gg%(}4-^0J92I`9l+`nOs4!@vB&)T~
z3ki1tED2kkD3LQa*Ac4cq^NjP+2<_c82mAcaWwCOCypuAR}H~$lP-9Im;Pxy1A_L1
zAz|WQw#(RqbIW4=)ny(o|Goo0W<1`$iqgD0fZdGJvj(Zyy>ViZ{Sgw7?n}GZ!-c#*
zM1`>~DyE|t_F(^AB09l0m<CUQuG@#JxaANfJmx)$?pF2n)7>N0jb@Xu#>#M_e{LOL
zEA9UpSJZd*q43htDq<8-_=UMtBR%<oDP=ygoE@ve=W!Mt&Ib{W$Sn@i>rGN|EFoC%
z8VH62O9WF5rl`w3{a~|ce@~rgp|w9@nE&gKeDt7{Tb@B*Ig4i;v^nFKXY-5;TBuT+
z_j%O`TJ#D3s$dB^w*`(gc8>a?hqDj81t*fy-|%%BJ&m8oi%=B2biicmZRV@k3yDM+
zvNAf#K*a^k?+Z9&i!ualUVx!Euuw%rSm;7bmbBHY5#3oK)uvmEu*g0ggutxZhun5R
zGf<+%+;%~WK*_e0mw}*hXld8sr_UI)j-$3iGR^GdiS|5y++;BI=?uy3KW52*rsO%R
zS+byo<R@!XY%G}85olopC0Nhv*u8WZUl^OzkNEO*gPKkGpLs69k~gwY(B@Dt+r&Zz
zEr!}BkA(_aJk~>Ga#_&DbeP-2*s@NCDZn3EX_TvD2qxp1qhZAc>ns?wDfrW!ELhM&
zaQJR@v_b2bLtGj$OUJUr9h-odppquUwB#6&pkig{^p|S5e&>j~-W2%KS!{%g=N`kK
zbLn;3Va~bomAb>s$0nL!qQfYru5TG*<&-+cX8%qYe!+^LKQyArAK|B#316cx1>vy$
zOTXrB0Gfk-;UsrM&|=VAo@NUq=yn?sLtiLRv40SBLJK?^IPr~&7x#kZLuLKxx9S%%
z?fn?G4!<f)CqE96^UkYr_+=Dga>LBqFR0^9+GAuC+EC9Ie`Mq)H1OO-b*stdJ+-!@
zXD}r-@O4o1-&g`?FR61qTwFe_8-E2)R)uVML8rF2r!QwNMRTX2<_kZmz3`KmT}ov=
z?V7qprV)MMkY4^loE5*SL#caTXkXRecpw1Hfk?l>10iTJ5SM=Efe<vGl<Mg>)w(jd
zeu2t`-%%%1`W=tT?Y_g3K%1KJ@GeUdw9t%xf2zYxT3k1kZRlG?N7q)Gi5|D4=$G%a
z(-S4dvkAmEM`Wr#16}a^)t&+LbOu^~<O$bV!i^W_8P%=fy8Mjm1Z|FZ#&cekg67Aq
z`lA<WDU8~B=(bz752Cu8JbGQsVuwQj9jGT-?KrAsNPLH?KeO3?Gik*4cKwBFhhGzX
z@m`{$w;fN~1dYJWt`BzDVIBp|8((^G(NRus<!9ew3K6G%NUUo7vaU;j9s6WtFGkIq
z_*T|?1=-&;itF1#>^Lb9lK50bcZb<=Y9eTHa`4L~IJqUo?1&phqL3^S*GJghW*fwg
zGbPIYi%iEmdTbDW*7X)WFKKTn9i}tka%mlZT?MbV57V$sY9;-X(ssPw#viC%EywGj
zW$e?LSoO6WP7ewl9jTInL%Z;D_H~?mrXR-re4M?OEFZS$0Tu130*tI|w_32nG1gz5
zqCcZFf$D`|{bg50bqr0lJ6;Vn8njTm+Hcsg&lP+aJum%q4f{=#=1Uz?>e?Gn)Q@m=
z;@624Yx5X#b{&TCxJ=`JGk*6}$9NTnztt2=sSWHcsqGEydQUds+5yeleHwA?f)=%p
zOSBI*>5S<x=Fc1RJP3Zw2E_}v*Y-$i-NM&PNA0Lsa5CCqd3@K*j%OoA&OF6SzuCgB
z%k<t%m<0TlsFGB@HQI0>+q3sw(VDdmw5hMx+Sn(UbffPeZd^M%qHV!nX@!|dPO?8V
zX>q2K(a~<jr5nnNm?LJ09ai8i?4t5I*#{U5e(Y|ihr{eny-`;?;te4!(}~k;PNX|G
zu&ubW7N<}By4m?ikQ;*qYA0uJgN=*9?sgmbXCu$_ckPG@L>|21QT2?T_W5Q#+(1GD
zow+x0BwcABbfi;?eZ?yhbx1UuOB~MV75duw3Y2RUkH+#=+kH_QFQJ}b^Ln5YDqPyn
z-rCH<8^s+1?LV0k`6^$3?6UK9zc~Op1^{MR2oz4?pJ5mf|8~AOxM=5VN?e|9Pc-uA
zcZU`AMyyl}C*FRy_r;T29+2RX_WfpM;u`pmQTB<ZbllXK<CoL{=K!L&`dIr?GrQR1
z4jylRVbXZ~i6`pZ7-Ww$hBAMm9X6WVs$+?kv(SdGyhih15UZX$4N9`?DBcMTp2mvW
z;6#zPeUB9tbb=l}!wzR6SYp@o*-Sf*f(6az>vUrmYFqiYqatM`*~9fmv+dY33bxoP
z#ed;pw;5s&(@SRC5i2rV$9}&+rrP82PzQg+Yy$rHoacGYkMp@TpmFFs)4PNoq1hXl
zw6O5A7TBj4^#5V&y#u2xp8s+05-z#&>?QP0KtMX7_a>l7sDesw8iAt=A|Q|;2%H26
zQie__(yIy&y{h!~RzRttNKXi;Aku!XnSJiUeZIecZg0xY_TAapeRgm(5J7Lvj;v{R
znicuI#+gv%afBz)U(4ZRPubV{*Q&YPBFtk>o*#MIPLIlC<A&GMhSSfnm^XYWoCW-~
zM()bRTp<F>$j!Nwvmmg1{DK~Zxm#eI7)MfvgD7^le{p`k@dH?0W1r)M4Q-7bu<&56
zi8L>-<a}zGot;iPv@S9~omd|EdbjMqhC7i?htG@-u8TZx$q@Zu`-Vtd02exco@4&8
zDRPUQ{>y^zC0E<3P^Hai;l9qm)^O2gE)`%L9V`vcV_w?Ar2=eC3vpX91#6gV&P3b(
ztzi=zAS^z@iW54kPo{pPD$?F`+~m-Mc6a0%E4rK>Nk;@v13kok-OCG(h>$TIdm!?r
z#V!Xx=qgz)`l*IEitTtXa+jSpbPcQ}c*Cv$Ejxk|E$xOiIqE3SY4~d$*L-j+a-;?0
zo6>A_u|4J|*NI4&wS-CP>+;D+>^=m>H&epop)7TsIn3q%<Aqamet^|?;BPz^3q0^<
zBu+t}I}4g4&PHytkh|O1BWYbeXHJ^>(wW;F@jH)U9UY%k(V|C@IcF|%6)?x059GjX
zbusdh#gmc^58)jOcjYm^xf}`oQX)R!6N>h!kq<1Gzty7tFP&~m4aeDYY-en{1|}+H
z`mgZ>tMfJ(tv=vJWQK-K<n@U~LM;@e^%00!-ivQkzrP&`3z|flTG$;)tD}*3Z=~Tc
z7u}77-9#wJVnOO3iTmA+vvHjJfl4qT4ci)F!XYY--JH0QWoAU4w2<;48A^?1Ntonh
zb!sbQKB_B>qy-z{j!flKILUhScc4N@QtMX26>g?J=Dr{iPeCg)ul&n1xWH2T%tWKz
z$X8Sm<SX_WFCjusspx_Q#%&ZbYrNp`#YmICD6^s?-$iC7I346Gf!*g|n={a=Ts>yj
zFefhgh#;x1`G(;(2WD|zu#j>9oZ)d<O>nA-k(+jwLk^ZgS+ID}kqXl8SXWM*96JNO
zO^UXlhjP+K4Vc~Sw5r$~Z8&l5Rg%OaA33W=K)6xORmA+m>wLYHOtccVVp1sd8SHc9
zFOszW(m-?oLI=o6b?dqEndfqaW}!s`S6=f%9_Q=b)<n03mLpl<W|PiJ-Qty-c9cUU
z{aL_?Ib6uP^5b!=m0HO8n}rO`HsVFlhIkxQu6qw9%~He(vzeBSaYPtLZnJAqC-e(J
z7VL>m-l(_}%K*b>ObI7Oy^!ipM^(hs!|YP8r;4FbwQ#v@LMbP%=?OV;6k`5X#)&yb
z;Mjn8YFXTgDX13?a?GZPbEljWn<(LtgWL32XG9pizXi$>UcW3!lPf!$P|8mM<>+Z;
zCuT*!)`p^5RVQXefn~Y*t{UE}v0%2sNT*(u8~yoYFO`EZ#bh;y)xaB^nn!GjaXrxS
z13YC+6a|(_5y>mOw0VH)F){zZtiV(g>pdD)|83yBZ2iS_h%5KN;`rrcq?=CWHcC)(
z9(;sZ=N)HbOR$`Wq9aJU(WcqN3Cp@93H2kAQXWORI7iVdHZ^tHscOr>w2Egy`%&>$
zm{B)1cVb4xUu#Bv+`^e?!91Ex6#R|_V~^&f*(0GZ49sWbp_Y@K#msB(J8=pj(b1^c
zD6x-vOMf13|G@c2KyYVg6*`{mw7xcK_7RT@9fv<6E#KaWvlD@NzShNspdysg0ZU}B
zSx_97b>!j6JSMK}EV0-z<g-n0)eZNq-oz!1#D3V%Hu)DP$X|DJ!hj_b`9hD0mibmk
zG1EVB;tOLT;pS7Mnf|GBUO*ZOkST5BR%dbZ&)!Z<)ROGlKF;M9V{ncRa2vA@IP;jx
z`r`#zEm|&m^&aS)YsCmoDS;UI%%+2#xKbe*;fqy7Bb^0k-IuELtiI^Z37<Q$ZVELx
zLIQDJl<}ET1Od@z?qN<C289o{0yoVa>C8vTe>kg~RYy3RXbC2+mprqWaB}9PQCrc5
zTxI6o(ZSNosF^s%SvZ{P&&H_1)3DX3<#>#mu8RVrX2*CQHGr*A^K=4_8i8fh^z=Iu
zEEwGvOeKwql)(Gm7L%N7G{tmJc9zAF2@44f8%*Y(t61G{zMIPZhRJ5~G$-r<!U@GO
zQs;YP38OT1YVXW%)|tT*ijd_N3Vfc_l`dnV%cNNp$Y@N78=a-ibF-bW+7zscqu#({
zx8>;0JQT2I^}tc@2lJiTu-~m7IO?6fz}d`3`Rp)}<3-#`cvKkd<-!Ao@kfieJ^)+w
z5xbb{18}UlaEbFviv$}=1UD~6M_EiD8_O9v&7RA6y5*Q=_2tfU_(~xI7EZji`#Hrv
z4cIhut!D9nE%6_$VetY>bst#k#BCo9Ta#2actgRPA>LRctBH!o$|Pj(8dTq$&S;V#
znNAfn@=0G?vym%iTwU0g0<Zff(xk>P^~C(>ENbJwRt5%b<_rid8Mv~=InIK)flPEP
zuU+Wo!tKtxc4~eQ8n(P)i|2udP|C5uN!QHXGXEY6oR9pvhb4n<X{8PJIk5u~SZp`Y
z4cwG+US%USNaZvm5Ac#MWIUu0VP5{pdBRRZ3!!a89v=RbGKvS<cHbdR60lX6SBE)C
zfu%70j`GYWFm@A>dZtVMQkA9m2BQbJJMP40gUM$8lg?{)vOluS0MNSSN#k;~<bUWM
z#~#57pnm1V@E3Z^Z_W<-ufAfm{fu*z1@lEov(-5#lq_bYR)pzKdP>wtjPR~ipvPgX
z8<e))S;jo{2e*@VU|<r*rw+B~>O~}ZV<2Yo=9f50{I#|(lP+`l1eWc~(<@GFUj&w0
zj+hj2+kXhgoy;V+t~y~M6tdhnm27}qUMF7o1}EOPD|T+UiT4?u`ZTa}n|X`V1#H#p
zueUi}fu&v>+;tAHVAvh9Qq(P{$4tHF#2%)<f~gNLJr||n=_tmOsDQoi&va*Y8^c-Y
z<xy8bvt$O#6j)@^L+4Npo48U{%ueqV#t_9z(Ix1@KajMiL|}-%`<QbF*vj44Pgs(`
zBI&Pxov`8w48tg<#YRRBbN+u$oTds=jz*vi7B;aNfZ8ZXv5!DWe-e-sR1r>%R=FuH
z+;DAP<ATm2+%S^3D7JwMkC<nHGAmcRezUu_YqAO3MnDcOjiY`V8#!q}YGe-cro)BB
zRb<Gw1uMc`g)?^qgdG8{lRI5IEgmrh6sV_pTr~9t$hqAv%rn7~m?#N4o4{;Gpn4_1
z&ie%u`voW@Lb249!m?8!>=dHS_o7|UCWV?=9NsgS*fX5?KN4{@uM70URq2S>JBMqp
zMTX%=N|%?(4zph_*RK{uj_LKjp|O#7)>zyvf?^+SQl4O*#D)V+0b2{rf-~;m_F{iN
z7iPNulRMcyV2_d0JYB$b$|8$>0&BjAsjM$Ix?)1=h`6<J*lcY+Ol&>^?an6IEk#|p
zR3vF-&P<#qI{6MRVYe$DQXM8L`2VeN>_GCHQ%eOio!Jz;7a{CLa0$JP3tEz-!#ih^
z#^=3=iM_}nivrbAcNi0Uk<<TA6=d#3u2&356Z44(Yt=OH$VApEu6;VPnELj#)%Ami
zc&fS1TT;1GY^mYGo>TIKUR#28XM@_)u$IfTkiqQGt{l#sX45)>PEOo6P4vw`Pv=f#
zVoW@=Vv30jBMKEC50(CKKFqj-8@hH|<jf8-@Eh2;V&ZXGPqt(e8;7)=+3j7IUAInV
zNf6~N6Z;fgmdtqznhl<j?@q?;h@xiU<}N6|>+VLxnxD3CeJ+2qnrSV$V*(3XC4aEr
zd@J8hZtZ$%Au&(5$k`5C(3DnatpY2t11j3q1#M2^V3KoDfi56Fc%0LqR;xj-{2>n?
zA>;0(%S3G42Nal}79mGFS56u=(}gQ49b7Q_Y6?_%)6>cI&ufBB2*x%pC`spIz+}|N
z$$3bqMK@PHd!}G>c@LgKg5qdJ4;SXA+1R3fxfSeNKH<?RWH|(w`l%~SN0;jBNBDkh
zT@UCVsXaN~ci1SV_i|y6AyKA&=~9|}WjCxI_C79L?iGs6AcOE)e}TO&54Bv4czOGA
zYYJ7rrqjcfhwAUgD2q7&a?F5`$Xf<+R}pR;uDEDb4^+_0Phq$yKiGwPMM9C?53-DR
z?>>ZKV%O&`>{f+>oMoqaA7QYZ{KAD@s37H7W7e10FrOUmTCb5NIAOgIy0mNWc1A(1
zh@Kr4S~nXKTvK(zW~;AUy~1c{^T0}s712qt<6XU}SqrShyT-e)=HRcj5<i>Z!kQzn
zti-+jt|0+>iSS7JXr`+eIa{F?%1&~9XHmqYcx8nviuQECg3#?r&fJv#9onqsWFD*{
zjjxn*?BcKW#1E%(PZToWFsBW_^EZGqU4>rjjzgz$cVr$DyNj2B6f3&iW`~(PUuo$j
zoUn@!_lW;Laj{*nFrS*klbDbpsT^@nG|>|=)^4Wp2deBE;&rDCxFxXA)r6it2po=e
zTEvwF*jk|Hrf_8e*54CEE^&>p$g&0oisPi1)i9kLU+RJ)D6#p55m!bOQ{JTdt#aiy
zQDLwO2pJm^7bWjRe?w(R?4ne@8}>jLznJ5MM+~4*t6h2RnJ@vaMD<(eGHA~nRR4^%
zT>Zk%Ym(W2y=$wTzFG>^GvH|=23Leo#@H1B)$^_Ixr~6VGRFVFWfWMHkY9gv4YOcO
zp)UGwzpDuC!MHQ$ZE?-9C~~TSx#*Pz%cAjQzpJ=8X}b%1bP>m;G*QZEyM}RU7isR;
z?Sf@Y=$Uo+azDC6=J1T!$HS9(%#8gm7z_UY*e~Y~)WU~9^SmoOGPRdG=vrfkqi9U8
zaIn#rE?36%`uh<Vw7AjLBC>Be=IS8-V$E-kyGG03tg<K&V&Y}jo(5jQ`W)5U`6PE=
z#K}rHM{=39PrG1)PMRFpN1!j2q43{Oy?dqxHWLGX<LU)m)?9yvYZia4eMJ6q+<gR=
zGaYoFR122NS1ZrEJXkN7Uo;G~Ccc`Vr^;-(<bq*Q2(KEWNmk8QmFZ*xa#-z(3z~4F
zf6%+J*QiM?uOTyu_Q0lX$2HCjV5_a4UgsPMEN$KMPZzcs0&{oUa?ACX1<Dr6xZ^5l
z7qSVP`<wbN$x-$2G}ljd%GC}>)o@PoF<onixu()XBxf71&sGOLLRtXiZ1u`tuKo<{
zjj?B^N>8x1eDRM9$ExG0+u*R=X0<0+&}`$)3Qt|x?Ldyn17w$H=t%(L!r(9@W*}bg
z{o(}{LtxZjPB_JUf>I4nQMmg0%5^-zXeQX)M_CkNZLm{BZ%m7^4)+{-+#4B8bGXq7
z@YgahRfu%gvS2Ye%yGI4h0**u7(ei=(w7b{42&AnaA(8&>I=~&FDiFO{a4?1=o#gn
zpy4f9-RSGggcU0fJy@(_Ox%5ig2XtIZv*P&bl<RGtO15uKerpJuh4m+GHd5`<Jw5E
zrpN-kxeTJ}tpi!;UVyUzI4j{hrvm2Ef^IaXz|xq}G46gEHX#`cwUFdwf8m?%Qg-T`
zAFWlbxVsmPE{xfBV{vzJ^zOnqd=YtBO0YbEMc&|&?$0b(-oJZU%6&!PLgw=_Zk%T}
z%Ltr3Bd6kCCZ2LX#D+5}mUD`~(bVU0mV)N{6<D&svgYiq=*Eso;8R$0%$AkiF?QPg
zE57Z*wAG*Xo<U5xOE|C^O9E`=@%!p5NnpuiOilM_4VxQlxv@BC61G6*u{v%H)?u-H
zqj0;e2#u@n#$jW{z+Nn)K6eGc*5IuCHg^TU)?35#8@gfHySFhg*5UUiD&P+X_o3f`
zu*9DNgFfzE&L-fj=D;RypN(duqiUj>x__V^4^Sbunt~3uk1`fYHFLv`v+rEs0eJY)
ziJ|Zo5V+`fyaGS4h5HxUG(GTiI(+MVMaeVpIabqFAPgOc`WfBY-Gkoy+Fg{w-v{pe
zd+6ly^gaCT6rc~<K-7P6=;K_4w66_Vw&$_;XCFMpDc=X6&d7^L^(TA)La9+<R$Tby
z`3x_7S-p)~e+25hR5Xcr=$YFN(KcSQ+JzkL-CJx6%w6r>c!*@?B==-m+6fH4B;?84
z88KH~Km|yi;K!#Xjp_nwp(}ytce;RO%U^i=9lm`q-2cX|`(QWVChiKp{odU@g?8+>
zR%U2+pw1tR4h(-k!|014NNDsY$iyFnOyn|~#k-+8HMR$;O<eSx>4{V~WWz<wj0k)q
z_jWJ$&-Bi`KnidTRD;&{21~C6fn@UfkW7R6fu@1apib2PZOi0HC;EVT`QJdV7Z*Y?
z{Wy)MC_qv_WM`Gxu)iBh-h^_2dX=2a9|*3|<->|n<RHi>+stLv4jc^)rM<1K37gJ-
z2I`s4XwPn=!fH}_K0Ew@4ME(WyP&}HhPbyV@hq_|>l<%$p3x$ya=;^GL376E?syyh
zRWHyNB;D~}Ant&MfxhtQ3yA;YFsys<S=5DMP6rl>Rm0s;c>VM=R{5hN+%S>I-)1A-
zPzB`g*-<>X@L&2M!JTS5YF15j;~wFG;UP8NXe_5U%DVbW8^<EOY8L}F4u41m$o4f@
zx?B#_c)zc~^0X*yFYu9+m3|x#YHG18MJZ;2+q4}wf1lun@j0;sz7a3?jk~9f^8OGI
zCnYSBga}^P25Cx?`=U5iinEJHrMN8OPAM)-d?^89M@n%v@uGx)T__=7|49hgc@hHl
zoP>bgCLv&-NeI|s5(0LX6z367Nr2c*5`sNCU<XNnzE9vVTzn%TU3QFwfW0CiPwWy2
z0sBJ&lAR&N6%$WLaZd4q6c;HjkmB6p{|HESeiRoWo{!=j;`RuI_=k~793Fwj-j0wS
zyE;OUD;!Quz{*~Z!1}w!vU{VrDDiECi0s%1H1=u~*Fanv#pM)#MkpFPGXl#G9AptU
zMnJL;BgkY2Mu6CR5pu|$i-2UeMM#%@79oJcq67}vT@eEIRfOOQL)FAfQCuN$QG|T6
ze<B3zoCwm`Gf|vZ+!CQ?*d-BUvp=G^+~SM~>9QvxR1mu%LIn0fgdDO1B5-bI$S$sj
z5)k7IgIUGv5Qyw@2)S6Q1NJop=vNLL;$;XmGl!u_@h=3S>|6)|dlo{#ZiV7p;!_9_
z*r5=z&EA9{g<S~&c}zp>Lntmmi3cI@u=^ko*>?~ib{rI!N4y3BVwXV(*k2H2Z_@#L
z3W}>FZh}x=_7Q}#uzw)1uyY`kkUaw-PwW;50s90(@Ja{l4Ja;4g7^XgmK^~hU@t((
zDZ2nd!2W;YO0n~wH{$Y%;~%8NUVqTp*yRr(_V<H$?Cb|QWKTZ`*v$`WoqhbEeb~Vd
zs*An*fRkPOAYi{fNI{(X0A!CoU}bkc$oC>0up=J~687SQfL-_?VE;V`*m(~E_S}Pj
z-S!}0pFIfJVGja!)`NgO^&t2|2kfH<5Ig8W@bn!WvTq)M?3f1ud*wmE6DI=p$Af^K
z@gSq@i3bpS;X%MIc#z+5v~rreq5WJKrA>1;v40arvn$&hX6KRHc}5A}nLKdMa~41G
zzC@bxt-G}CAKLz{yLgV}7Q?tIVE7t8@fc_H&$sSUw(Ar#9qQH<dUv|JaCUaU#gbfu
z!05(Lyl*az1jUv_3&CfP3a4MDyJKvrbPL!7?sv@p-%Rj7!%w`ptYTEQc|c|7pB(s!
zm!8J>c1wY3&p#dbrz3vi#Tyk9mwpe_GXD9Ff0pyl3jD-NzhjPG+kooLKfY~mz?~<u
zwvtxOKoRcKDFoTMg_&_lDtMOSC*HS!Tr<J&2UVEq&Q*llfEhl%0fu<|#7hfwp5c25
zpgS6XPQt6R?Kq8}>F$zn4(!Rkby>xcvCPrQzV#u{h7f3D2(&2#`aT5uAq4s{1lk;c
z5+wO80Z<?_1lk$`l|=Ky<FZWZ$-dGdP}vZud<aw_1gaE-FmWgQssurXs)ax`LZDh9
zP@NE{UI@gUl{3nnH(7dZCbT(5)36pLfVd?S1Z0LlTSK62A<*^^Xh#TCyR1%vm#t)9
zoe-$*YfwV6uik55vafy!)F1@n@x`U!@s=zDEfZSaNYi+MOZKe@fmVh<t6ql^e5+pv
zeQQFXwIR?KALt}_Ell<e3xS4*KqEq+FGHY_AyC52kG0S%BJ@@WbUOsP69U~0fp|jU
zy5I>WS!R|@Xu&W|WA}c^zJ(#sqJ$7IB?MX=0+k=B#qd&`?28S7Duh54L!e3_P~{NF
zHWvM#bIR@mlYREFuR~!WP<RNGB?Ou?S;tEaV<~e(pm`zC{19ltWb}VdUPt6vmLZ;X
zlV!Tigm}7Th*$e$nRhcGo`5qUo`4zRr9W9_;!KFA<V=X?=7da;CufFOAxM^4IuqjQ
zIuqh~I}_pwJQLyxoS~bNJkR8r5T^9kpgs&G1X=rr5c`Ed{X?JuA<)1OXvRsM1nU~f
zzL_D=tPqF<N+=;}NwRNt2yspb)aim2%8E#`uX700B?Rgk0(A?4x`#l#exYU(L}f{q
zm5eKjm$zi!l509a)<@73A<*&=Xk`erIs{r90?oUwWwHX3>|0<#2^w4!Lgb~BGs8=1
zvaF$*5HF$(u~w7p`{z#$u~w7pdlCXY4S}A8Kq)tMyyJTPTM__8%(4(@c?h&J1X>*e
ztqp<Jhd>)cpzni_!TJ6%0Gd}9xD#y!c#D?g=<ECBvkKK`#ATT<BgxUEO`B#FE6%{~
zjYcnW=doD&^dIm=Y}FZYUS??%7uTjjtg!sJ$Q|2^cWSZ|Ob*hx;;`sx@3TN#QW?#g
zE};S4tZAe7kusxsIl;z=VpH5_EB*%ndW@+9_Sp+)jD~oV35eAh1Y80H8D{mx?v~-Q
z%LK@~Oa#2kMDRohyvqc%RtM~l7ZB$i!5$q<(82dQU<bUQ@g@_&b{%}9gCFVPckcIW
ziDs?k?#L+H8ne+BcaJQ#8&o(qzB(v(3g)_Qz3sTnx*Ok(-`?RqY`0yb#8^D(CA3p}
z+y%_XyYZZ{J#V<#?|^%27TXRgd^ivn4uOi80}i{Zgi+7DhN52Q-FfNMad(V){}{}f
zwwdOs6YjTdG-#-iA8%^8t2k_5nV+0>KMtc3hDVv;f6HbYOUW19cku*Hi-QpSG8JBw
zV;bY(>H`<ubM3a>W|u4OaW>oUbUoGm(ze{ZcGcZ3i)|ex4nj6xT!piqF1OrqS>SKM
zTyvjo7Kcq-caLjnD6?w1`%yuAdKeXo@f4=I&7!?#2gCD=%QnqK1w4<ipA0iWdgZYF
zU>17IGr(q>C8al4m+%aaw1<V8#VUAO+HF$^^_R~~uH@;L#dh6%S>5wE%(mYAr?zJb
zz8su|<Sw0XD_T^~bHVnv`DJ~N-DX>@>v;Fu9`E#xALgXp4Lmn!bR)ir|F-A49apHM
zPT{+e4GldfZCA{MMxN|>Z1d^Fb5A~VLuXHXHrrV$HN?ng#t!mivD>zg_Y^9p;7|{I
z>^;rmHTw?s%(C15BxF0E33QEc+fG_PFTj(Mk|mq@?Fi562z$P8s{56vx-CTtL3pqy
zhq>Y_&o?$3nH9%*evGiqHE&JwB!}7NX^s=K`4xj-vng}MRL^9)JxS^>ui5HbPy6r)
z-g85rr^53*WvEqdd^^%}o~M}p*L<tTV>TeqAe+r${xI9q%Wm6D`R942VIyO1nCCg`
zww<AMTRb(*y(>I9T=olibmbtv3*(0t%&6~~{{?kC@6Jca1Kw3AjSJgZw?ex7d;X(m
zk!`8&o|-P7bDzuZrmLGhM{Q{)MCZ5Jetk_u>V>ErX7pB1b367>=#2Sj_s^aJCT;hq
z2-_UZ2u#80$<?CF2m3rfgxUVpT>#jrHv7~t6FEF>vu!oe?Qw3G^DXrA(ZAv4(!}k^
zVhX;`H0vGpoD8?^HPJ+6?6%Wp?f-cy+im;JLBDxQ+3a?l?p4LD2Ci0f*BOstw;v0m
zf;}u0r8SH8(7)$AljwFi^x0{@dw$5mpO(FI*<*y;exU-7(82?*c|Ne)4_hsfdc%{=
zZu^@0eU1*|z2!07w&^DLRG2+?IH98R(w*n%X|b~+qs;h!Jg4pU$zf*oe?2q9ZQD%r
zv0Pc~k>TbooAE<7dU^z$rDO1OtPHLWl+THaH^*`q^TO>nC7T84WEor{nVHuZ<FQAC
z<3l)OP8Qo$`o4@Y$o7oT+w+<A${MR|wj;FqK57_Z<jP;9S*X0x&1TzVVn!)yx4n}7
zY3{9PEV9{F=;0x}xX^}AW-A*zZMKVM=c>l<Hrq0@YIVb5xBVm?oJAUxJPH@X2i7#m
zwoea!VDXYzMLcR*wU#l^ZVRW<Lr|+g<C=UU9HXAAWqg{=w$iNI()iJ7!{z@N<W;pd
zu7*=YE!6dk&PJhd%A4+1W~m;)+7@fUV1X05p2mIKCCcb*6fx`cGG^InIpR>MM;@=4
z;WM&^;dCjizfnI7Tj557j9RwGCZ?oScH3_z1}<j3l0(2g;&bDP?K}_V!t{J79`j!^
z6vfX@1$v<AI)7nQv)QwT)2v}e3)>y~bC}T&#{&pT(Ul#xEYk<XxoPrnqf!FfOfb8%
z%>)74Oc1cm1OeMj5U|Yz0qZCTCh34}CV<#xf`Dx%2w2BJz%~;EyL9kW2YS0MCKJ%u
zWP%{Plup90LDnvSWt#~CwwWMcn+bw()O&={Ozf|ISsDGZ=K5t_^o#A)FRP+o7Dc}p
zUj4En`ei}%%X;XS<<KuSSHCQVezCavWhwN_O6V7V^nUS0?-yIEUsgfCZ#%0oe%X}!
zWykB6rF^28S^Z*VohU}uiDF~*%WCfz3+qHNu=>Tm>KF5>U#zQsF|PW>hrC}bt9~)8
z`epa&7qhBgtg3z}3E0N?#i;5Ro2p+-s(!Jk`o*B?7kjE-%&C5{ruxO0>K9w8Urecf
zasBQWJE~vIsD81c`o)Oq7aOWyOsIabp!&st>gP>g0+LUWIw1Mwy`Eo;r+%@W`o(nW
z7t5(%45xnCbNR(;>KCJ_Uu>p+F`4?sJG);DrheHT`Ndr77i+0sjHQ0DmHNe0n&1~x
zsbBU^ele8##ZKxMGpS$pO@6VF`o%=*7YnIhc1eD*kNU+t>KE&%UyP%E*$Vl^H0qZP
zjb99-ezA-C#VqO<tEfLgtfGD~iu%Pvx?e1!eldvp#UAPxbEsdep?=wQ_{A3L7gMNT
zETMieg!;t}>K8MpU#y^hF@pNV2I?0Rs9!9geldXhwf)mCy9d8mKmB6-^otX7zYJr)
zjAFkGV!w=GzYJl&j9|YEV87Tr{W5(0GJ5?oc>OYV{W5g@;)~obn*+a$TfgsRDQR!s
z6Zpl@=@&bvUxut-Myy{3tRLgG-Dsn&?MGTS+Nfbmq+6qn)(C1O7@yhJ(Aor}Gay%@
z(ZL~#@+>Mm7H`6*%*TbeIlJ-I34HYCr-G9VL(}JI`oIMSE~+IO#VCag4<y8lF}ff~
z7-Q5%uyc&j3W}!jl~E5+^RJ9XIySsle+}mVYrir|X~dc!q98l&Wl8zR8VwP28*9`@
zuz0NTzT+B7>#IVOCm3beX>T}{92dxsNfjm;<+X#}*aRaIQKpSEhDPK?)%fb&p_J@U
zG3L+5IuiSJAQ!uIqEo*%;=q34YojZITH}qbI#2Lc%~eoi4Af6J{w*j))TG0jlx>1h
z98qdcFq%Wvo;U%EK_VTUU^LZS|I_kgCmN-J?=;b9gkbSRqb`EfiAEd8LoQD|d6Q5c
zxZaJVetsiD$Gyxcl&4jG!>bWjb&@R$a)azagLE5>&(^J?s&9-wP}oO&V|)nNr@t{e
zASg4*Xs_d@>9~s~8O0)`bu(^LgW9N&U)tDnup3NzISH!8OmZa|^>viLbbZE{aCjV*
zg8E!T-z6Et5EPtj40EjEoWDU0mZE|-PBwaIM3_dDnPPMY<CH1JNCfVwMpM+zhf|GK
z5jQwmwmWq7Ys4#<A4U1&Tl9lWzqM+j5uv$qT3iK^joJ>02d8VCT%K9n9=qLnBYpG!
zdgF}}z8kbLS-P2Rn$bE!`bcpra=&Tlc-Ls%G^4#Hl*uGiGWx|2={~~}a*euwYqZln
ztfEfn?l(v%=sT8->1Z2~UR~1%&IY~y@Ag7cLD)FaXVZ;|96q0JjMF`@v6bGu8AiOu
zG_f%GW*YGh>78*}+*}|yvTYWI=??mEmeJ24o6~lhp1K4>E#R3|X;Mc`dY{nXJ7^sl
zZEO$8Hrx0>cdcH*jJ~ZAeKg|OZ1l*P^zUrr9R&5}V66T_Bj+IYKXhu2F(l$EZl}d}
zsMTlaB&EK=s1fg_1G9wXq?QYe2=Hy1YxIa<E3faXI}|e;--<u`I>2{|{gfJug>TS2
z<9)FIG|%|dc9}}gN8$dV#Q8>Fd#-RwpKtVXh>$5(Ru>ozHDa1ZtoNXk3|)YlPG4Xs
zM18RU@^(|Jg&1WLlbA7<;E6Q5M$Dzy`9@iaS_V~eV0(D#xU>*C`JHMmGCs0>Mc*zm
z#yg~d%XAWN{^9Nx=u2PG+!SMkCa>1y`qvEy9mDKK^%ol@P=?-%F@nd^%Ed<W2tJ7Q
zZM{R&cH^2Ph9$e?EKK#57?E7O_m&u=9JzP~+OK7y4LdTS&QhZZ3Ne1E(bln>MV!?1
zzn2;nkkjJJjFPtH)M}Yg5y9AHM%{>Y%oTYT-#sIt%gc<S5o`?irQV^8j;Q;X?=TZB
zr+2?I>LB>~JL6ph$G<b)(`@(e(1s0g1~PuRQIef0x;6U29UAx*Vgp?j{JWN8v@E9=
z%Q25Fr}`_5Mw;yz8rT5ak`+c_jd^*8ygAV|Qdbz2BKU;aSN1N&bOa`LrBMozJFbMp
zb@c5@;~j@&-A&y$;8Rw(h%B!WYSu=;;)HSdcbI(EQNL9f#p`JIDm3sqie8OAy^i{>
zHah7D1!(bJ#JIT{eRmyYU4uz`9d%iQsdpW%U1QW^Ka6Q>jJ6y$Tx*oF<0x*xTBC|X
zOgYuawgs1K7bs6bn!gtFSvoyfYt&(;a_g|P2vZ$exWy=hudTvL($pU?6A8BdT{`_9
zivQudu)GB4T~So%dVtpOE_I6v(BQ)>rxx@MC7W7MHiFl#Y@E!V^+rQ2u-RRz`3EwC
zbi~_YVJ3IpV8n5_dV|r5!{-}}#+tp|U0OUIJFSe5F%))gLi=}Z1!pKJzXUST(P9|5
z$-t8q@T{l;vzp|;3l-jq%%pELVpwq0CgU9~_>;_dWtg&XlTn|;)J?|Qx*Ywu&T&)o
zVpx7xrcCPhJ!Z3M-2W=xqtWHi><_+2XOYwf-zDQubhVrp!%9%B<xmeFgaoT|=v^9f
zGr%A|^<sYwlw`P7Gf1#7yHJ#hYyP9rnzNPiBT|(#zQQ<2gouqNuzfS0xy#e5t(csJ
z_BCzWfh+@Cgf^Tp@^H-kn~fSAzSwLui8#smZhem`G()~8JV#`n(U?4Ui_wO|2V0Eh
z9M(0BW*jD&7)K&}?p;dmjOH%42?>i^LSw6;n5V$jK<lPhWw`WLSXr7nR9X32$^)Pf
zUEXSx&>3A$>lqPnZkShNS5cw;z>eBx<YKY2wqf!7fvzH8u<Ul-Nk(kP{&5!F-fn!t
z=oUM$bRgWk!|0;L?4UubF<1(nLOxG~!}78bb*xFdsq8+a02hMADfwKKgHHW~4LD*S
z-f8sKEI-kJ1Dd56)jwwB(1kyEm&&(8;WzBUpqA=5LYvkgm1Q}?^HSN}Mx^FDewQlD
zM=!m32Hg?<pRx-LMm9>?t^4-n-9`&evD_Y`8izgiKsA~|YxijK%RRcmTkqASUa;4A
zSBt)Om(pe;3tNhZ=b@-SFbekW)NNOCpYZ{UO5A6>$Kla^I*EMyjhYziAMQszrqkm6
z#>Wxq+yS0pQ2&Q6H03yIDD8mpCJkJN#f`fu_<RST#irBY14d`f9)9n&9@j0}Q(h`m
z(<1KCBA#1B%A}Kqq0z2;l=2uU__KN%Nk4$V`ac_;5G?o^3Q{_~`q}tU^X9y#hxmYB
zjOq@_Umn_c(5Nq?*%=sl>Gbj!qpgln$coYTAQq!^T656&0D<igG$4sz;+~$`2Ocu2
zYE0>SG|fadlXpZFqJ^hX&S~`M5LC2jG~lo?2EoI_#s~y`j~HJdxN!t#pK0{rQR8a_
z7mpgl89HW+)+4{^J&M_H6rBE|tv5I|oD8F^$Biy}h_$^Jtl@Vx<|E|k0CFG>+Y;}D
z>50@K1F{31;4TMJMUweIu$?ojy$)=+^xy=_FO-k1O5YXq9mhRE(>}Foe#=QCPGfo_
zv#g?EJk(=3-A)<ZINW~<=A0kk_SI+?!MC7%!;xv8>!0L^E~P7J7A-$*jKg3n{XfHx
zVDtZsuMkxK)ktv6;wVXU^(b=wqO7Nd^hOXX{$@-@u=h7q>nwWvj4>X;;WI`99t57V
z#>eDMHL}o<vqpEuoI7h&NB569XLLl+_Z)0#Q|S0P=&VyXfz9`*+&)xWzp9?n((OPU
z{X5pmDRlC8;}Zmx|1jDinEVGeaZ~8tA4VnIKPhw`3kV-s`;O{Kdiu@U#mQUKlatn8
z!dP9;q+9o>{sfHG4{LgG1J9lX_TbhkLPtAcb+NJ+Fl&mS)Ay*=LnF`h+qDhKU(1t&
zHe5nCx=wp8pd<6$FyG(zXy0VatG-lNz~FzZAgJ9gVkQ5Zc3gz%>pHnE8S${054?m`
zNQ7R(RLs*w)rOw@^x%?_-}Z<+mjiiEwI=HRmyN1yOJ9E3c+a+;GA={=loH$x41_DF
zw)J%U3X~VT&5(*+<KNUel|8CnMqSTO#jf`eolP}rvzY8xp+#Jw`d7hrg~nV({mrNI
zSB++lD_kvkDe<~dolcg|>ZOzih66k!u3>~-p;OmTRN;B^z8<sC4{L((<#pqI1ShT=
zUuYR+sKHaCXuz3N5gn=geLXBs-GF{{g(CjM)=8vQp~S!N83H?nqAO2~+?u`med=Bx
z-SNSnP|>eYnVYCWBz4p1sOb&v)8&SsHwjbh_^BL-<!?bT0?#e1St7aVeX7t3?{`1G
zYQ*5QCyPT_TOOe{$Mv3ln5D|!HY#fVR#v&Dw1&FT;+7F(4DLQOJ}?Jeq4l>V6EAKX
zEs;+1JJ>aeq)xid(o1CZ8hT?U=&qU7R9yQkDUgm%gP3=X4|Iz077J!S2fcU*O<Vju
ziN_{!TatDcLtCWvx=({%!rBmX&xqETKKIGi5IwHNJ>#v2v)p*zv>*mn<9qn(^-3F$
zJD}lTq3!pi(VyMJqJu7QU#fQ0eXKEma`f_PdT)HQEzJJMY|2V!1k%}vih3&zy7?7q
zoo2kPGmw}`$W8FO;i9x>QosvofhHJl6|io)QCUaw1G5nCSRBhhY2nT(TKi|=f<pMN
zbZApj-l=Fj9vlT97}X<oa`xiVwCa6!G8`tc4-H!Q0P5@&TJgZ>rX$U~PkXl_s~aC;
z)_^k&7d6iaRN(B)9wnZRa9&jmU)Z0xDKa)>pcW+Ig;tiM9%9^Fp{5Tp2MA$VrttD0
zq&}2x5c|kzqv`9chzlNJ;gJ{{EzCfCc+0+oVyMMwq&A=O|Akd{K7IL@(KBK`mu=U5
zI<eEpHS2FE_4BF4-$oyeKVV5HR00xOzA&oLsqP-bu==q?{e{O*bBc-0>W$F7Z$3@>
z$4G*l+>bF0&!@SMja~@Co?vxDqEE2$&8L5#82xn`7w&8AX8kiQKAiS`;c*0d&3rog
zuQ3o2YCkpl>IgTiOuhHasKri*GFe^!VGWdA-L-fyg+|hI2cE1EXF)s)Gue;+he>=s
z#XiFXHlL<FGd^}m<i~XCKNJaGgWQ23EBL3D&?z6FHikbpT4?s?x(0as1#2Moh0#mr
z#Ga;StHgzfwDkoRMv;}pLKk=`Ro>?%rpL2kwCW|gt_-HEX%sybeJSddQI;w7UO_iT
zIOP@gid*Q!D==>1wkwoIgO=inguz2RO#)@xGINaTW7{$_O??dB);3ia2bsw>)f~ZP
zn|dEX1-oj2AknVg*Tb(?8YNzXIwt;a;E^V~M%PWF)=3yJnCWV2OoKGqbP$-ncQJ$l
z+}eK)$%G-Jxsg>s?2R1sZ<s2M)6+uXsw;woa5WggUx4(`YMVyQZXjvx;3Wf#*G}4-
zMRh=s&!OTGjB%)r2rfB9K%EHH15iqY`cw<(Z6y{Hsov9=z7}R|q{_+%v=pf-<AC;9
zq-um9+NoMO*nICBL0zLTM<+T}dEhrXRjiHZDnmrkE>$&x&HKIynAz^5G5UG%=3k4i
zJ<)-RCYtP0wKdb^G<rA;Yr-NonCg7w@K6ihDT;t(D?4wxRbfbO><&bll^LmsW}TC!
zw>nqcs)WYO&%{L2o(Z0)%+y<W)H|AKiIoEEHk|j%9)+)L2zLhRYWf<BKG^Tc8|c-N
zwe@M#uP3rS-0y)SY(sev?YN;@A}F9#eFR;UYK>r{QVq4NU6w4^H63(tk|%d&hAMeg
zDcfA?;#HL+_)NriFiqPhHZWlxo%f>TLO5axiH%Yv5u-ztYVHuiDJo>3NuGFBHn{9C
zH1b!Cd}|6EQxuGbrX;Lq(<q@S)}WtGd13|a*vn})q58G)!T9`WRRogvM5_-p`^7Zs
zz7ow?F{{c0LbI&uZ9XYZ&Z?>*YlpI`CJ3Ulsn!vE3*L7hS!d-nF`KFf!rp8cKl4as
zN6jWt)9k3CB$}ID^_3HQUk>at7GcHsbh@W<pgxkQYYs$8qIEgYe;wq^sai(xeLkNZ
zd!q3eM2B-AfsJ!e^%<qJXY=S8R5-Fwp`v()11><a&C01FAtW-F`UGe1{c@=`fcE85
z?X)Z<va(T*yeKp-3>3B}htc5Ns-MnSZj1b1ZdC<&h|QxqBbbs$4M6ZRkNN;t2-@aV
z_4qFI%)Dp?z8mO^rR0LDq4*i_26T`!ob$oyG`bb)yh}b+pQEJYQy)i2l&a}L`*H)O
zbkDCkbGSFZ>cnBe0;)TQV+tVW5~Hz|HCS{V^t6Dgt<y&P#VUPiLA*{ltpx{hlL{jD
zXXtK0)j^ABkxu2`#`7C3%Og*G&4K+yD4JSGMQ~cP3#l#<7dYR`()la`=1Gf3d`=YA
zLfTsS7!{+dVRwvb&9S2kt4_Eu(Z8^2#o%5B&rpFPs=bcaEuF1U1*qPe=&<ZUf_4=_
z-;}a_Z1sn#mmGy=y{Yo!Vnu;BRWp{;=S@_AROZ}tx>63AVz&|mw-PQI00GRCuc&Gv
zyhT+9M;aGk52>809Opkf8O6{e&QQ)`>Qe-xim5>e9u!l(wAhhWOH3?*XB*)v!mC|4
z^e>_!HA6zWEcjHm47wjAYL5}(zahBmJwxT+LLWIpi{8RKE7_fB)f4oAmLLo$p?sP!
zEuF^vg^|^Mqo<)1L8A$c!<LJ#B{5Bjgau%{4#xDdI^js_=8EtJ#>)kIT2c+u?X|*6
zYf>rILSt527%>dDD9-{)s{&}Ba-~&MRPXT8s+lc~ekqMU%pack4p6>gs&wG>{@}UA
zuk>XZ)jvX5j#)Cp%Bs@1z*4@fdJn<yvS^@xSw!>$ZDK}#t3;$S=IsB;ML|4&h6)~7
z4)<MBX;?Yc4R>1Td^y#Y<(0=+O{KBrRd>f$j$Mo{ms3>;5Ax>&zE-SoCC92R_FG|;
z5sS{9N-Zj&z9p@D>AcOzO~X>Kd5qbEpN!!VK@BFAjEbriB6O*U(Qu2!*Lpx11yxyb
z6VS2}UPfz`5MfYCb#zJ*_;<SA23?MZHnQl1ikzNUEsDUIThpKX-@@VAPOx?6(9TM#
zW5gUz=w-S-qnL{hB&h`+(9iA=I$l?(uJCakKdXPSvdX8i;Z(SW#uf=Q`5fw81?s>Y
zI$Z@F{@*YvTvfH_aAZ~0hHLV4Rn<LWDyLcSfmS?%nWt{mR0-Qw@>heNvz5}SVbr1;
z>sMDjIb2m;ea2yd8knJ^da6HoO&Lq6q2idFRzr2=utiPPz_yo?YpRbTWEqLGxNWtd
zBMGL(1HD%M+cQV@KmktE<XY%7r|DcR<YGV7stpz6G$qzXB>r&8*Y|<mnm?$m%7Rd!
z4knS)G@=fM(0)2n2Wt>6FsZt#jb<P4fAZ*{GIdo++E`cRXT}qCRaIWJ9QClyPo%2#
z&;usYgnDWyt~AlBdRS*BQpft3q4?&sZ@eY#M17P>F#ZR6lQR5*2g6q{I6_Ezz$WEf
zl-vO8{4X4N^8>vJ%4ndfLu$#lp$AN)FW**m5NvxJ)peMjy{#Gos@D*z!bJF*S05qx
z9RX*jLL>DhhwBkW9AJ@ato$@=tVS?pPh-`@{!17+-%;@#4n*jX#CK5Q+o}|toO&Vx
zRehMUzpLIwqMZ;#9A<fkL|z`kGuZ{n*(4ITBO78M9;UD+s-petFsjxB6^!u9CaP1!
zbdHicgHo?zp<Wn=*S7d=Ys#32*Qo1%gvs%1W;kQjP|h`Y+7}FkHTrie>yzHYA_0lV
z-c!vr<uWD-_77FHDbm9Iun|qw`^<3yq2{<@#jP2KiBJ-`^?+g~VrValQ{|cWRGjL7
zJ7iR*89FiG1caJ1!zyA%Go5aQ=2(ruF}Att5wVRk+&Y62zd?z{r+LayxfV(>xo!)n
zJ(AROD{*MY4$X6=h03LAuO8^#^@<00wEJ>%tUZWYuO)^a@-m~PYRYh`6_#m*5d(O5
zD@+5Da_0=aDb`ih8s#b9LK#}L$`A|3^tZaoBh^JUHabHOL0CB|+NRUK)~cIBngusv
z+bO(h!VgRrXaymHEoiZCggu|AiK<Q;+D1mvgBCFF3qxUg&=HGoiP@0_g62>(L9I5J
zhY>DlgR#$_0s6{Wk}wh+6w?;9E9eRtbn*-qq^WIH(TK@hn^iKX{&e_DInh=%;#$c5
zf$F9ybpv_-K(*DF1{rduGV4QCms#t7h;b)Enp&*bdq>dr57k??ZFKEJtk&D;y^mCH
zU3(u{OvgULl(3CTw!;LnjV8Cl?q(Zhv{Mxnf12RynSr1AIC7_y?iio^+%c_fuOe~7
zkmB1zqkMz8US{yrpOcRF#w9-RRAO>;2V@Lk>kjHY`y1gjzk{mo5TS!<%%`e|ynIH-
zIzXGi2frQBIfXdXs+7?kQ7M8Mo}v56-j1py3%u76T^(WhPO5?C_$osmR!->z1r(G`
zozPhjzU+kQL}X0Lpu3ZBowaT^Y*(k;#5-cv^aHL*ol)5cPj^-gbOvW|!<N%e6t_ez
zY8jMSujQCOr3+>Pk-i`^hj=&#4|(B5F)y>kcEx5-Se9y$fj7dk(5|lN@L>6+E9NVN
zg}Mc5U~LB5qjS@wv1~iQqr<eWTObb`P|}H9cW(5X0WTvRRN!kBsgwAgrglcIk%XHD
ze2q>j32)X|ya49LQ{+0$<nF4G&iRfEY7mP)TxT3wP9A`k*N4;mfdqGF@Xitm^5f8*
zdnga*wNDS-0vmc@<&abkT6F_!mxKCt2nfS-UeSSxUigk!eAsz8XyC`{O&$Gs2A}cd
zr52sgJb2^_s@cRq4o+E7a1>fXbN`w_t*3x{PfxttCK<!4#4dV)D4e^lp9D(xM`m9_
zyYM?-mp;KvD>=Cs(q{ZD@qNGU*X82XJ1l2tJf<Lo`{Pv&4qwEp#<;WE@KaTt!BL;0
zb4mAiJ!DNfCtdnf)zHGz_54H5`lvO$GyE1u=+#qI<8X0L^|nJI;z6$tsN2BH!Uj_d
z^+IpNaEb4QR1v21!c;5VxaJ{dnV8<HEK^$c#yo>?Q*TV)2o0aAYP(5|eAxEgq;GxL
z@kE5vKRyiUo7Aq4`Vhf}KB^yr0)15%1S9)G>AOki`>H+>{0)(>{6pzpnGe6>iQ8<N
zRPiAVd=rJ-*bhtaGfM9VMN#5Zc}Qb!p*Q+}N88D}xT*b>SJSFLBwu?~cvh@YIH=nn
zp^W~jheP7lqRxF-OXk;f@&0WNJT{3H^d_wyp!(W2QLce%fELu?q1GIZcT(;^?)VYh
z$UyHBag848eQ?G=?2}(nnL#REM}HT2WYvGeAgI#9+Vml%Z^ydjIPPqqQ(Zw#KMT}D
z^M~3(&g~aSPF}&yp<}mtNQq4_AC|0U)X=dn(kFveFJ%4rV5r?Usqhf>Dg0uhPPfs9
z0Z=BSjClUG3?-n9T1@+ge72H{c6LGc!`rpFgUbjSuHNTrAUEKq&moDw5%+ycWBOuo
zs4x_IiXeJx1Qw_dHKMOZ#C(DES2zZs;7^c3wV|pmze<}|r!KV59<sHk2+Eg(VuxWG
zzDhNQL6v$&BZjGg2<{Do@!<%S9<F*u9O0sT^YFEqY2$XhNPcA`;%%a9!`0Y`P0TXm
zAzx0xOUma}P)&VBt4Cnd^NQ&UGdr=ouZkNsdvd}N@kq4$3i{+r^(BJTFV#D?i}cn=
zH3Y%@kt)u%jBbxqqY!*LO4Y_FTsjJC_&z#23L5V|$~PLF(njq^W5329!25oCt-lc7
z$SkVS=N{@iF?;>0FdokLP`w1Sg~T|YS+*GcZswFA?UD?O>N&f1?Hk{}YuA8HLgJ-n
zc7J)}F{h{dC!Yj4s9YkHUtzqN*{4d=iNrv<cQU)CjxWnoK<&gu^D$ULM8E^xxS3O|
zJlx5T>(kyb0dbFBFNVCa&kL9q@Q)S{`<1GJ%JO}Mj%uUbUqQ3BQPf!I0q|%$7N%Jn
z?Hmhr08fF8gAyreyB_I7spN5}eH$GghfS&wq8?HCF;I<ytByuzv(Uk1N27CEXnA$=
zc=tfY^3drC=-3s<V+j<g`5y(RI;&E6>Cv=8kAj^rhVbBI6!Md8g6c};8>uX|Vp>$v
z1aw_IaytQYA+(E$*p`dna+-Yk7Amdeo}89&&nE%l6&~q<Kc^WUedYy4N2{!(ZJdF3
z3@49O1qm<SJE;Y)k|MU+qs-}v@cd(bz0e4)=A&SrtE{=}JPOW6_~yZSUlJeke50Jm
zY?E&=Q`>0KH?Rt<q@&-cs*aUBa+=cK$w>LdH?Bef<t1l0HJ^k{*h*SB32W0zx-kiR
zl$BH_38i02eUmVnSJJv9jHZ?JcaqR*PZrw9$uP{Xq#cv7e{@lnDH1(y3P#gPN}i%V
zjF2?@Bd0vK-)?IZn>80hbR|`oiqW`|Mom?3BiO4UPcn95E2&j7R$hsi_=pORMw4zx
zR@Ec;y$Ro43uB+ADr%mw7N+Gi4Bo{wd78*LJq^XbL?yn3MRX+%`c^g8#ZS^raOzv^
zWLMJ5Z&fWjieGEG>Ku`iNBo>ee1?#VPR@bWyKB0tz~qeSD2b34Sq;0bBN}$<3^c5u
zmjoNO8uQ<op+4ZS{>(tUHJR~>^J9Y^Cf}Zk{pSoSH47tX292Jj`Xfl2g@twoo>W$!
zM9kn4??y-E>n8n3$$NfYhg@BqL3w9mtj(Y=X2bUD!V}mSaxQu~8x85AmUFP&^E(~B
z-!cnS9fZia*xtIR+g#z^07$c?S{eM~QxvS_JoHG3eH{aq?al2r+p-2Glf^V;9$Nhp
z9iN8`T%uC*RVT+K&gy@<8gTQwQG_5~SPegZp(+|&lyLbvb^#0)2&XMjeK>r%0Cqoq
zLB!|!D`?+n&6Hmksxr3mvlgMX$8!?d|I#P4Ef=Y`G$z+y`rbwL0Y)j>y$HQ)JpHl=
zofMD1rC<RcPfb%)6V3bPUwrcf=IRtx5QLK{=rZGR-4urX`&4}~)`G{>XE9Ef9@Fl{
zs-5F8Cs~aKE=3=VT>^8(W9qg9YM0>aX#CD4IG1@$50_v{`;E#im7vd3tfjwk?53LQ
z!cv&aZqt*cm^5!wg=G+Oo5^i8dGa##CO!e$v`oF@IM4Ww8Xx_g!ZUc`ROvhHeh`lS
zPQCBQ&J`7}8SZ|k3h>uK&gE#5JJe)3cG!!;$iEy)+>f+(IjoC`beV%S^qhkmly?P!
zYg8RUN4Z5@`_3D0^s3XVj(^CEF*AJ2|AzF6HXE)-%N^qPL#UfGsd5FqM+kLqCUqul
z<aGX_6C8X+_c^#su9XPJQV9ed<$CMR5CP@>2_`O=TMvg&t7KAt=SuoDgjzk5x|~ut
z9oz^-z_&Utt%U6fce|b;#AT=4tB}0hLM(sp^|F_H5=>sM3bhEKw$G&gz{w8|p?1rp
z&Z1-_!1r@DtU`KI=omm;V7be|dWu|))aB00!w?DoWlH#)<^LN(eUV9B&D2*R)HnVO
z<{Sea3Gh{wMXQne71{|9$HV6ti}Tl~z;=>@*ZgU(7k<Rkpa?ntEE7VVlS$pl$u|k1
z9?GQRsB+L6q?<xh)*xNN4O;|r=?Dk&=r)3may;}nM8fj_f~oW8qrR-^ujg%DCY4`u
z^5qYqZq1}_rfzFdOdLNXtVJfy;KnYJy+GSJctO7-=(v>SZw`_0*|T8ka#FD~g!*|V
z^;eF2AcUHjNlm3z>yXYI>W_d;z?0XZ-@ydD1|jUbhk))VcHA-#UN4?{9!y@Ww2eck
zc`~V|Ir;ZPsFgFR`>FnVqzfBs*Y!vjHr7!HVa=S&XxJ*Z0qpn-%lJM-#@tL9Vw2nx
zLS2<f6>Hqd5NiGx!MsnW*bPVsMyr+^kUq>w{Sd+u^bMo2D_sS!qwGST!6KA7=X7`(
zlp))yyboWep3bDoj-zu3^?oMxD#dI>^*^J!92}ue9BiTy9K5302s*Cd!Y>ICko8qC
z@rz7d8$!*KNtJ!rmJn)8CiN#=k48HCaKje?9v9|dCHWBWV(;ICqRWE*{iD|lH{uOj
zV7iqR_fQCRK_*qypIaf+luYWSS>GcaESQD9M~#oC+5oYpb>QGJ4MWgLmZL^c9y06Q
zg=yZJ>t!`+5kk$8NtHFJT?iFlQ3v8;VS0#Uc^&fpfaLE`nIDiFtV3}>sE&CuxK@kb
ze&dbtGko|a`3+x5{Xc{D{Gf7aa@p6&<pbmgL2{+n$W;R5LO%v#*LaOwD?n};B-eY5
z+#o<s2$CDWMt(Oy-Vh|my+&>xAYTcRTfatb6Cisx2eS6jYvlF;a=jqA^K0a;0rG$#
z`Qz8f@d5IpAi4Kz<URrN$sl>aYve%z@+**S8D_36xW{4tFN|uMIA$=zsK1G0nH;z#
zX+kL)LpMw)G8=IJ9~v@VH|w%hRkq_LjTu{^E1}`Gs$#Z<^ygMsN{w)e+@^}!PEpxy
zs+{c!b=szC+D;H{gATHmPHa<^5ZJfFj+-r<-rf##)AKM|wjF!JJrubEn&5;m>b(O;
z0^#AbV+ZyHPKwxx^P2xr{hc@++fKcALc}+;U?<eMAL);ss-`=U`_yEVDJc)NUXCXv
zs_(*vWDO15g`>C|bbpufLC5)Mw;JIN>NrU?=;{f34a%`c)piGUo1{u~^`^ZNP2B_4
z>>(ZAgDVO%soY*{`S4}aUKQ_@FMbw6*PxVCeAAYA4nIZrf%`Ib*#|X!Eazo2KF<2e
zmSg(fMp-FiA1V#s>XhA&T<oUV`*HqfDJ(RtX&AoxT87WQ%N|hK@V!fe1FEuf9gE0v
z7fB3Si8~c^Kow`TWzPXsQ`D9Ns+v<SXFp<|Slphb_CG;gokmGNsgK-2WhE)!^oMQp
zk@IJ?#}8EQXBg&YQPR(<2P-2PKcjA^Q0-r!Dqg2Ae}SI6o=*Ity5ZJq`GcxGZoT>s
zV)wC{?jM9<?-9ivQf*m}SbPXOz$<j^5VY#~RO&FA3VOuI!w|QH4jslJlBF=vCcC3B
z)j6U{IfF_9J;c>1nso%GY^Vk+j-V-1=)w_f=;ZRw7~Gkhg|}zR9>o@XF4aA%syOBD
z%5|s*)OuOA{51P0Zowqcj-%=mz86yXm>TR3Y5_@QsKPu?0UF3RP*TB3X~!_<Z6^0|
z<#WnChO$_$Y45e{#cA1bbgMIT>A3pbDOV~MGpXBrPjNZKr{oi8)faT+g!&Ap@pVq(
zQbHPSIH^7loW`F#p$f}sJnn&GAf(cyQ!uN^dGRx1BA+Dli8GZut*ScZ0A69ar23_?
z=}!K|la&^nR<)dR8k}1Qe`l{kIsb<{MRK}c<N+0)k9ST6{!g{zBi$qaQ{8c-Tjp2Q
z)EQj->0!?t`DpI1s=9MOcbpz9Xi%jb70LKbmE-ll&Tlx1#`-_`H;m$mbmTV-I;{U?
z&fq*5XOt;t)Ccb1N}rUEPB(@t&wOW9UT1KHr<9Z&IjGH9RnaZSR5`F>CzYgWO>mUE
z?W`)}lEbHBjHSY}Ba2eDbE*`t`Ss4Jc3AUgpHq!_&A)OE*Y2z}pSo9e#^A$8G|)}z
z@;lB6*)sV%I@?uzlYxWZXVmu(Tqrm~`~FbfoSV3CQ?TGt#t%6w;3W=K$|dH%*}x^y
zw2{s{vnt^V-;d`p6jso!^XR-6sp$ob;AOPof@<gdi6!i130M2&EJWomVs+X_%`Rf&
z4L>{=F+r`QpD)4^j}`jWMVx2Ppq7`=tz9(l5=O~lIuFPxd)bFrdMRZdoT<0Dj5?9s
zstqe5>SWA9u9M3uI~Lv(moa7Crze+Hg$UUuR=|#Rt1TZjy@Cn%H|l!@)9Y<oeFfsr
z)151-A@A$TrDDdw^4TX<HF4kJO!s5aZ%$AB<W0Jos!H=>s;<If`!k4173tM=m5;7G
z$NA3MtFYt$97Y$eV#7L{sl_#Q*bCgA=ynbLXEyD>rlvdiNeB!ViRyl-veLxs$kIky
zeO<M*d&BA3bqsfet#2TV7Pt`oaznk#fcH=JiR0jF;`hFS_>@0UlLzVApST^efQflo
zd|vwarpjqsKqGFdCXPvrFRPQieiOwWM@4R_j~z=GUy=6RR&Ub!TWXMf3C8wqHP?PO
zjCS2tOE~O)M{RN(V#bD=(Xe|9Q>VLXxa|;~y{i^G{$OGeCKjPZ_h8ldgVOJ*i4K0b
zBB_dwwCFy1*e-f`U(G^*JEhZYPpM=&uG~DOA?d2FV-+*MN#)X!l?&;rghqJjSUQ@!
z+yhm^@f~wiWsagW?SblNe;GC_Lrp<I$r%8#biK+@pWFQO`9oa$JW8h?!VdL-vOj`x
z=P&B@NL9e|m2)4VqmHBFkJNa1{=)YO)FEg^Jy|O<k%SM=+c2UJBlxu_Utf(FzzBXf
z%7;fxm}4*_HZWp{Mts4DbBq`!h~R5j@`#4-$t~8uk{rDT5AMsaVkPi<Q@;N!to16E
zW_@8H2lweSSig=1&NsCF@Fk}rQAg@z6Br>HUZO^fWyC_x$2g6czzBZF$~RFXCNU!6
z6tg60%v8oaVMMY<OlQOiM$FI%Vgx^U<(sV$^MZ)^8nK8G{1%okMI)9n;yFiIrV%R`
zv4;^W?Y0E2#5IhWz?ij~WdkGlO$6UYjrf5P{Ct-0M~yHU!4GNqwra!<Mr>!qPL0^Z
zh;JCNS0fHE;zvgKbtV1+M1p=*j8zz91dnRrW(l)A(THP=kZ;!wC?4QA$%t#r5u*|R
zV?<E50mm6e1l1ZKerLo(j>1+NATBUsCL;#i!Sf@)TxQHaj2W(3t}-I1@POk6BQ7(?
zdd+c*5thm$GVU@WXv;yAG)4r?H$Y@C!cu@F%3oan@+yk&yq5ZyS%O*+;yh)9d>>p2
zDi09P86n>eR@R7Dj0h@4;IM}QF^#jzRvjR+Fe0cM0TIavZM#X(EN;fk;y9x;LNS6L
zvi8l_h-gMkVUATAk)09O8F5G>axr2(BW`F!UPc5BJV>_yBZ4*^AY#H2fC<`hfO(Ty
z9<dO|eaU=rM)1SfK0_l)GD1F!$gUA(7%`ut{HPJ-8F7{o9w<)`T9FY!Qx6bT7$M49
z0-JY$sm_?7vIaygM)0GczJZ#fE+bM{>JW`+zz9ou6B&&dA=jCI(j4zHBB;edXj4W6
ztv*0BPhd<kOJz$BFs&F7RO^6f!-&nyQBre!$cUgu2afiPkV}~ZHAg2#1Qk1QbY;W~
zma$%Q^k4)VfD*(41eSQl1dTpG^kPKN&I3drMx?TkQ(8!WMrfr^BL*=dsO%xi5Jm)*
zJRrVcgr(t0aT7)`CTI%+%P2+!%|AdSG9sw-0Wp>lL5&ZH@r;lwdcC0n0^w)GG0y5x
zjYwj|L`IC#h^dS?z_0lFmT1hkj0qZrAY>*Zg4!Vvvl$Uo41t)(h@e&o#6m^{6+$2u
zGh#BQTLl^-5X%@LH?CR;A^}hC03(+u_<9gnRx=`K9Rgw<BZ3AYAT}~0XafQQZ?U~0
zPy6_WLdgSS3nQL!x+64V8zbb{d7MV<WW*+Zeo0hI#M#4`pk4{Yentc>ML_(_h>I+h
zjYB{jVnom$1jJEB1hq{dPB3C0M>(jYoMwa^<(*(e!VJ6#1k6fic^A4R;+$iI94JlK
zi1UmH8jZkli4j3N5fG`22%3g~xXy^6!V1JqMg+B0Anq_?d;+H%4J8wp`;58Ih_V{-
zfDxAVDjbg(5i}qn%0G+<+Khnsmk~iT5fIN9Ax9Nmwa}N0;Kx#Zy@4nL7F#$lL2Va^
za7HZRj11CoA{YVXw%>ColA`*;b*Rmoj|RNJ87lPOn5>M2Mj}d)m)U1i^b6?Nv+=o?
zs*{y9Vq`<extP3>7QRpowK81gHDS<*^X6g|*_U5)7h-OHKg}0I$6w-p$=&P9>tIAu
zh1cSxyi_@}30qMe?=6l8jrs6PXqNo&S_nJzX@yUrRAg2r`O4@x<vGqlYX1ruKgby`
zNzkvecVvazS6TB^V;)wrebqIhRuEBJBkD1N)oovWjcCY-ag1oB5$`gB6>ofDGUz!}
z=9M;YG!40>qP03MwOfYO@u+-gkGLRvGabJrBkqRHJmqcbxC=2!b+{(VP&1qN&8&>@
zwbhItG2<Z`WAk=^rhXAYV^-sRoiw>ClUa55b<>ECgNRQwq9-F*iTCx=h(3(iMPJ&z
zO&q&`PpYXK;Yd0@JSd)~ym^t~0m8(w2I^RY8S#_~hI!v{Jmpx`UyC&>%$wsK#`=b7
z?k|~}Hv_(r8j%o0Bx=N1MtsK{<1}IdBd`m280P)Z@sd+`Pp8l;+*>Vy5xykNIh8p@
zw@lWE>5T9*#|(`iMjU0tY>k-5hzE?AuMvwF@fRafG-4?ujx%DJMyz0jH2KPK8x_pr
z&C_1Ab8UZ3viBGOeT?}_iK3Yl-eW+o9u`U)VUxl>?%UhK#A+t{$3rcIHpC{`dkzGG
zlCyYoB#1O^flaapW!1J~_F_g(Pa9#A?EOBq5N}%?p9K)w4x1GI*?{h!Sv*awOb+hX
z{bLKI&9O=0gZt^CP*I1sh|YvI#U?p>^zHs}pRzp$46~xN)lwWiKL4a={16MN4YNtk
zUc(2*f7YXWf84f_e0I>x&ffh${=8q0`2GQYZK+KHe(;d){XdQ$Z1Hzve)`$r%?`Wh
zd51SYf+r4d0d3dT7TP4|fF8d1kB9W;uc0%jY=pNoxY|c}3*?YAKhtSu8S+{0?tPhK
zQiS)N2;S}`Cl#7L<;$4j=-U$`^aIQrxi)3Ok*QCn2$|(D=M;?e7F6F^jM9@9P}4|n
zh3tz%a3VM#WyIU^)0#-H+hMWpjP#byzU=>HEkI>IwH1s;CQ?F(RLbdnODze-b#;2n
zdStN6M1x(t*X_m20ZwnU?ACop>1U_6Lg4>%r?*nze-)Rvrgxhqjt4m&u9MigDwZ2O
zwC4<DV6R1$QF@ftxR8N8p}16+w=8eWk?dOz8E{9bw%c2`^@%JP8^7_-CH_g}pZomt
zfPenspF8|>oqx{r&%gY0j(;BU&uRX-$v;Q==MWurdrQ0gR`NfG&GLAgu`Q;B$J@X;
z#X`@f*&c5V=j0%G-s7$6{MG_DQXa$mF03%!4R3ANObZJu%nHL>(={s-zGrx=x#n6h
zn!1bveNHAkP<g947g+E?eCvob7Y4yc%3GHWEET=pMjQ_FdTY4WS!6WP4zIVaYi%YR
z7Uiww+-Sjv=-nvqhnU9~MtR%7g7S!orbXOERinMtojWY>DSZ)*ly?TfZPDJUuKgB>
zR(TrjZSMLh6K<8&3)7|rAEl*Py>*?x20-&}R<9#F?D`LjW5}$b0&jUsMyx@{_}sGl
zn?2w1rWVb14XC8>#_zRiGeb7XLGqAh-pbMPeA?hZjKiJ17d-M(ToCoM&)eD^!CU1Z
zs@hQRy5bSMoerY1EWmB-2;M&jQ6;|fHp?q-ekB#73g_Jgqq-04-LLlu4D+wR_jyv@
z>D}ApHTUoF=5yIDo0kuJs~6^zfh&i-Z<@94dB1Fl^8sLsnipzDt>UM~1X%TUR2fee
z-eeD^mS5Y7nXg(z?cj&5c65l!>)>s2QV!a9+nqDN?3t6i4ZHX4+XItcxdHvV#`9Fh
zJe1Hrs(^hRp4R&m&rj9w9p<q6)=`U&QKcB!-4|ArHY~^6J|Zug8mu(3A&EU5qw;A~
zP8u^fEEnRKPdi5K2zT&q9F=HG3Cj~c1ABAxT(_tt?c~v!q^wkURamw#?8m8aTzD?p
zTO&Ms<P6!KCzYVq>u~*i;ICn>2#qO1V>X2Se@$I|Y*W`2m+j~0Z^zH}d(TPiI8Nda
zf=R+hfj|qSu$GTfl7XtK(*Tng8so$!vDZ~ATcItT*aL!^<%pG((9zOuAQrLZ4hl&q
zg$iv9f?7%u1&RuE>IRE60op{fbM7-6f8BF`_uP-f@7;Ib?|i&+WAZkHj(Do{5lSFF
zPY4s1I^qeVlZJN0GX;y`Bc5@(20G=Pbd3|}l^-$#o?^<{y?&|SgR?IPX6m@~Lr;m}
zHf#UTgP+YIA^_HZ>ZwN~$?yfw6IgtA!81)H99htj3#J$@kk=|<eOjn|Ser?;GU$3t
zDl+qC_$ury@44u4;}8WGJu@*i_@axRvy&(d%$$2B70wMH37t9MvI|5uz(%VS<Ed$o
zm)!A<sSF1uT#G=Qxyq^68M{=WYZSs)w@rnjt^s2fDX8NyFjyr&W>|0*ih6H|f9>(Z
z&m2+#jnL(gCSb{qIi!0wkthuf>Fp6$1k;pXmZi>8wEHwpljdTvW17^!^Ua{8D;~qN
z)5#uiPnV|aST*c02~k+}smG!NvvuJ2PN9f22d7K*dc$<+9}p@jGnUWL!=}%We&`j6
zC_%ot;R2?n;&M3{hFnp!HnBU4r1y)A+i<B@1R1UkVS+PaQBXTFjLGn}!DvFN6bOPn
z%~B~Drq)OyU8fohU$|ljX=|jY4wb{u7p|yb8~bvNv@aqM-2z>2O0{N^a$vaRQrP*Q
zOJ|KnvjCZ1DaeL?Aw6Y7n^xpkQizrRQhFd5e#@}3#Du0T4r;y9GZr#%as9h{rMI{6
zga}#?`sbPPOU#qaHWM-|aCWshz*D-Q`Ri(}cbxGdMoA+OtE=-;+KHdmd7s4Mc%65=
zKF%a)xaXRp%hO2a8CtwLPz584o#QQ>!O=oAV}K`)$RpJdKV`1Q8x7~GS#AzcqKJG`
zp}suI1;Lj`&2~N23eiDuXQDTP>qt-b#%QJK$GwGYV6qo^Od^Lc+Rv+oNYV-xJUsl=
zbR;_IXvAS3tRHj9XyaqpRr{WJgLM6H+~8Jp88@GooQnQYHcf*5f8!-_1D@UF4H|Fc
z=X+z5*U^G04tCu1R*J+gX|*t^Osq2|kHVds-ZFtO*!{IPrYosX_XDTf%&90id)-@%
zFzR74f?HmP@o0Y3lefH6i^TyNE(*i{F;|*7y#)u2zL-ETY%%(Z%_QaE+-Y|?>oxgq
z%;K36G!=He<_w6O%gVuSlP}0Vn&WG4UP4@!W?i=A$)z>%&UM|K+tM7op7?QVXBLlo
zT*bzrR633uEC*a1NN2M7J)c1I1oZhu-i*mtR*LE@UDwWa^Z({YhSPtyM}TZ1g=atx
zl)|KTvDAb$aPIX56b|Z>{wSVmZHZ^`K?7{&USC~}@HS08G~z21Ny5D+@{U+mLSzlr
zd=0BRvmNo~?2>d#B2|N8YdbcvGv|FC7aAC^T=mr&hMD`C?*%g&4q5Vs??5q+zV9TP
z^7F;4-r#??8sqIRPw<bk5KouOH$-FpSLg9q<cF%Cr2R9VGJMuE;4eXIYk0t4ipAUk
zzbq12hrdI($`VjHbEml)JJKz==Ir7`M|%SQ?$2P$fIp;iMccAm+y8Lt>4nkvoj#HG
z%#lfV`~dSWEI|LR*`NC-vX@TzPk9Uv7*;ko(16Rqzg_nmtZ2r?$|7!oWlw+WKV!ul
z{zolxj5YkrzsGLau2%}i{QIqjKQV0ivnmofhg-qMoF$02AsS;3gyr!nM;*)4nHS^P
z#*WrBzN!!egCRL+CJ7g2k*nCWQhA$~n}*RS7N6=4>T(4BIu(6AcY<e%Txs6P^<SOh
zp32fw<eb&~5dxiL-z{O5$K|6FL}K^w$q~74DKjC}$8N8ce`gkuz(c!rO0Ix9tJPxR
zS+dc+q3N2l6z;Ui#fB5GVuM`4YTM<ENEY8cS-BEF6o6m}yP1_|STVpfyg^ok(=<~5
zD{_V5G{e?yB8D{n<25;gMZxQGwec+z^!CZc?77$FlMaC>KIq#nM@5pfYG``i8idmO
z&H`gH0K59+AbYDz?ko_u;;>pN#Mhu*Ir9ugRH0$Gu1~I|GTtW_3Zwx2@5muU7|zh=
zK%4RG{qh9yFm;^>$Dc)i+rzMXzg&XF;C{KncsRe7vHkL>m&ZP76QF69Emq5EL#<$8
z{@rX@BGIxq@p88g+m_R7)x!2Q`07jaB0hpPwz{hXl3~t}Tt1VdR<8E{ZgyUOE}qKa
zO~y6c%RA!q8kg>Pd0{ruMku>9EYJT98k56Gr38!FNhKf<%Lm`JC`Cb%G~f4g?F(=l
z!EQAxSGHyo9TfawfUcxcsB#VWBN{yJ13y%pRLb>%jwO@;esyFWA3wZKQE{3~O7TP2
z3XHDgb2Y40f;_}PQ($zHJD|%El5r23?{Zo=^Qie?<gV49uT;UgupOU2d<7T==)lxr
zdZmQN3+5}Ko;TcKeM)rsf~~2CQ<cG3++7ji-3uQ11N8mT0N<vRqC(#4d89SJ0U|Zg
zrYQP4eXvJz`HlD=X>3#SYsa(ae7k}tr~K-uX2X4$SBqiCLVFN9u+wb{e$V@325BW6
z<H1XKv^!qqnrPuPu~tr%B8-o-+3*%dXM=-X7;Z!nOeU(098yZ*gy@nmw9E#pYFrKm
zyOetl^h4PGfiew?rd>*e-TFZJqaB?RdJid+vEbO~A*ERq`{`Pp0sl;+cgL}xpmRaL
z-a2qZkp+P`WoR12PGdS;KBTNLi~Fe4RA}nJI4a(0pWb@)W93ajB$^o+Ln(@W>b&(b
zZ-qmzxF@pPrxjV`0byv{9;?U1c1cV{d`<x~QO%t&>9V_!-94uaRSLu-!_s?7H4jn1
zbNh})SCN_1%W&nc64n(4@8YjOs<=swXt+snxfmiV>_H1x#*1dvR=12E671LamA^;P
zH=?UVjR?d-!`YA;6iLFZU?ima;Xp_Y=s*Y>KCxpc-=N)LOxmG6tOg)7Y<J?*%nprV
zHG~5pSgC8Pq#Zy-_J^?gn9;#0?M=vnC-*@80<{dk3*uJU#4`0%R3LU6JWs2b$8&*d
z<)H^!0M;il;ZsdV4j*e@GVJoARV3z|u7~&Rcs=k+m?{`9->5p#)#E{<TBR5Gdeo%4
z$@`;8Ej4trOp`iVA`)wkm(WPBJ4&vV+cIhek5b6xeLmRrjH<@O%`}YybMM(z{R61D
z@inAf5o2;Q%<aYTHbcBu_3L^?km+*=72e0StU1vh$7e{5ehApi4)m(2C=V~d<2-&8
zK7!7h4JTAZzDsl1kiA-&#UmTu2n1k?aW!BjDF>6T;xGU133a(mAf6r${zVO0NWyne
zm`h&?sz0MHGAqQ{Yc4$N<uWT%>9uQH+t+p{zhOJit0uGI66^h3T@>IE23ldy6OKYl
UH|Owk;CatoBxbvFxz#oQ1r&MNdjJ3c

diff --git a/v2.1.0/.doctrees/examples/1_basics/1_quadratic_function.doctree b/v2.1.0/.doctrees/examples/1_basics/1_quadratic_function.doctree
index f4692eef3242c5e48032e50eea3665aba8a9f6c4..6b9084499e0779df05dcc58e0a7cfd3ecae8d72e 100644
GIT binary patch
delta 24
fcmdmah;ip3#trM;naqqPZ*)Hgq&7Et?2rHehJy+i

delta 24
fcmdmah;ip3#trM;nT$;)Z*)Hgq&7Et?2rHehH45H

diff --git a/v2.1.0/.doctrees/examples/1_basics/2_svm_cv.doctree b/v2.1.0/.doctrees/examples/1_basics/2_svm_cv.doctree
index 8a67baeb3f3418e0b55e4e765ab572ffe7b7d10d..ce52707818b74c333ccea8734410d14e5d2094bd 100644
GIT binary patch
delta 32
mcmbREhG*g%o`x327N#xCS+Y!qCew3dna=^~?KX1ESH%Is><XIz

delta 32
mcmbREhG*g%o`x327N#xCS+Yz<2Get7na=^~?KX1ESH%IstO}I?

diff --git a/v2.1.0/.doctrees/examples/1_basics/3_ask_and_tell.doctree b/v2.1.0/.doctrees/examples/1_basics/3_ask_and_tell.doctree
index d7448182a38491c6f6c31d43211ab7df1ef81b70..ccefb2b3dd2b68ac6b5f87b99f19f2eff06596d8 100644
GIT binary patch
delta 22
ecmex0h4I%E#tprOjK-7u49_zfZ;msPkpKX4R|t&&

delta 22
ecmex0h4I%E#tprOjE0l@49_zfZjLjOkpKX4GYE+Q

diff --git a/v2.1.0/.doctrees/examples/1_basics/4_callback.doctree b/v2.1.0/.doctrees/examples/1_basics/4_callback.doctree
index a8ec66a05c1500fbf0ae9237636469481480b999..8eb5f15f3e291811dbc43d17147647069604e6d0 100644
GIT binary patch
delta 22
ecmX@n#CW2Kal=*(M$^gLG|n@cZf?^&Bn|*<qzMZE

delta 22
ecmX@n#CW2Kal=*(M$5_DG|n?xZf?^&Bn|*<><JS9

diff --git a/v2.1.0/.doctrees/examples/1_basics/5_continue.doctree b/v2.1.0/.doctrees/examples/1_basics/5_continue.doctree
index 4ca189380426c1156cad0e5ca52f540b070fbf0c..bf056e26911b6d9b11337374c6c42b825ff90b4b 100644
GIT binary patch
delta 24
fcmdn8iE+y&#tnTAOa{i2Cpeq~QkxSTuZRNxebWht

delta 24
fcmdn8iE+y&#tnTAOcq9yCpeq~QkxSTuZRNxerO4m

diff --git a/v2.1.0/.doctrees/examples/1_basics/6_priors.doctree b/v2.1.0/.doctrees/examples/1_basics/6_priors.doctree
index cbfeb411675b00e1b10e70ad2ac80e486870334d..310a8b7519efd67bb7be75c0ef01ebc4f7ad9849 100644
GIT binary patch
delta 28
hcmaF1i}Bem#tlDRSPb<njVAwfISXcNKIb|^900o83*rC(

delta 28
hcmaF1i}Bem#tlDRSd8=xEhqnVISXcNKIb|^900n}3*rC(

diff --git a/v2.1.0/.doctrees/examples/1_basics/sg_execution_times.doctree b/v2.1.0/.doctrees/examples/1_basics/sg_execution_times.doctree
index 35744ee7b5e16919b1a44bad8c5ebb6c306d010e..ae47a6999facc7a18e7e44131e610f49c4e75683 100644
GIT binary patch
delta 420
zcmZ2hw5(`D3lp=Eh4JKerW9o$t)(?3gFSXihCvUffq|8=u^v!tO6!!yDYa8HG88hL
zCtsA-+HAo*gN4;l&(g?jav`U|<U8VKldU;;naqs9+|@E#{9FnO3c3nF6AX;?ERBu9
z;tA^9ll?grm<&z8+yF%-BxQzrrUoEo35=$jFLCDZh=Gkqc8d{6WOInv9u@^NBV-8!
z6FnoK2;7lbFDEC8nQl&%4rCEFMo|cM%jT2vsf?4it4^JKQjvRdxSG*q4yE0bUDVAd
z|537>yhUAqa)$CXMMD!5oj~USMUbpunrtX-vU#$K3gcuw#o3d6)VL?#(2|+_K~Z9I
zr`qnx$F)IhzR7Qu_$ODZTTV7rHlF-g{hEjYs)NA3-h5W0j78WK#XbW)Lle`@VY(N%
E0l?vdUH||9

delta 423
zcmZ2hw5(`D3lp=Mq0!`arW9o$t)(?3gFSXihCvUffq|8=u^v!tO6!!yDYa8HG88hL
zCtsA-+HAo*gN4;d&(P9rav`U|<U8VKldU;;nT$=q+|@E#{9FnO3c3nF6AX;?ER7Ap
z;trhpOcq99W`Lp`k`hBbQzHYQcmkv4=1ZJ8JYry@k=<bg64@LgwueQ**aTU^z(mgo
zC<1q2*2~F>Vy2r@r2|=n4N(+=-Ld(kd@AGQm8!FumN88}ucbQKfs=RgSH)wK?bIzN
ze^RoXyg}V~a+LBl1q&k-%|I6dMUZV_RFa*nASAK5RYiqyvYz5p9yMkL2588sO+F|t
zJvl&;dvb-^vB|rY%qN!vjn`JzpZr+;nuw7By3s}ko6l;Lu?SnDNEqlDnpkcQ)4jkA
E0BK)=jQ{`u

diff --git a/v2.1.0/.doctrees/examples/2_multi_fidelity/1_mlp_epochs.doctree b/v2.1.0/.doctrees/examples/2_multi_fidelity/1_mlp_epochs.doctree
index 99001d9c65664f9184e0d3a777d338d90c9895df..e539dd588a05cb325e1127a4b71b9eedc34a84d2 100644
GIT binary patch
delta 677
zcmeH@yGjF56h+C9nUqNk1|N-&PQrN4ea^v|B%OtbrVDBiCl7+H*5ddD!ij~Qf*+tv
zWg++hB4VL`U~gq7CX+<O$`7!+?7Lv?v#-ys=L^d|w$D~iZ|sj*>!lE9-K(_CLv32L
z;TP$VM|1?!^y%jvh3ybR+Vm$!z;dupPxC9^z+O{^hy!5EvS6F4rL76(3IJ{ZkZCCd
zFh$Wq!$ObV<!;V!B@G}lh6)98ig<x`++2L3YN<3xf$^(;vuVy>ay--09XW9HyVZvg
zs5Uec?dX>U_l`GAe>7mg5mh2Wtv$LcH&UkW;!a0{Hpykwt<;E>G9y>Jsgih1uwadD
yE9*1RugsV+!YIj=hF&+*=ymh;{{jCtVD9&Tak086Y|k~4QTgCu_=>ZKms4LcqQut#

delta 549
zcmcb#fN8@_Ce{YlsY`n{vVNClVinr_Kz|7fo26lDqDAuLL@m+D8?+-P?==;l%x5Yz
zNmFbxuc<H+^#{U3rZ^{uImQSY7#W+Jn;RHd7?_%wnHZQEO;$9IWiq#%++ZHhZ((U<
zW?*D#U}<b<YH0}+vsB(}pc2T)Vq$4wxH;YO87t66F-FtL{HE4ymMI3NhQ=sPndcA=
z6P~CSG}+fNS-@1!z}U>f$jr<TXrZa0#bgEZSY~5$<H-dIMr@`AmgXr2U?Xy!0w+g1
z`$`!Z8JSudn;DrHnVDD`8(B`tV2_=WAs8`I0zd#g05<P%RyJle(K9tRoBW{c41~3L
IWBEb}07{UbjsO4v

diff --git a/v2.1.0/.doctrees/examples/2_multi_fidelity/2_sgd_datasets.doctree b/v2.1.0/.doctrees/examples/2_multi_fidelity/2_sgd_datasets.doctree
index c69ce1fd959032e5b757994431d59e3780cbbd3a..dd392553ec3f4e9940751b84a24fde3903dc3692 100644
GIT binary patch
delta 86
zcmcb3i1Fef#toMx1<WiAEDQ}z3``9z3@t27EGEk-#W7k=u2u5b+$Gh*jzfNPt&)o>
Tv$2uo<Rk9qK=kIR9(yDJU<es<

delta 86
zcmcb3i1Fef#toMx1q_YN3=9kn4Gj#;%`6Q}j3>(}#W5OAu2u5b+$Gh*jzfNPt&)o>
Tv!S`^<Rk9qK=kIR9(yDJQG^*L

diff --git a/v2.1.0/.doctrees/examples/2_multi_fidelity/3_specify_HB_via_total_budget.doctree b/v2.1.0/.doctrees/examples/2_multi_fidelity/3_specify_HB_via_total_budget.doctree
index 3e8b748894d29ec6ed9a50df21ca21222edfdbea..74dc0e09f3ad723dbdec8ceaa90e04ae4c7b40d7 100644
GIT binary patch
delta 30
icmZ4eka6`x#tmzOSuOO83=Jl43O)^CZEgzDlmP&~^9uL?

delta 30
icmZ4eka6`x#tmzOS<Uq<O)VyG3O)^CZEgzDlmP(1n+qHO

diff --git a/v2.1.0/.doctrees/examples/2_multi_fidelity/sg_execution_times.doctree b/v2.1.0/.doctrees/examples/2_multi_fidelity/sg_execution_times.doctree
index 2a96b7e47c7b9c2f13a2c8acebb558be4b035009..615d2d0c1391bc1b3f4c96141b1299140b097d13 100644
GIT binary patch
delta 198
zcmZ1<zCL`zOeR(nLp>w&$@7@9B*838Ev+dT?6Ffa40<>XjIF?8n-!Vgv+!BynVT4J
zDJUrDDj4V)Oy0<@KiQYVjK|o>5>?PZ#)BU!Vqj%pp=V@huvwII1CKb^0EFR2R;FN)
n&38mMu!sVUK}Z=`8Jp+<MK&*#5@!YK0~&!W2{rV*`~z+P+PE{k

delta 198
zcmZ1<zCL`zOeR)iGd(l2$@7@9B*838Ev+dT?6Ffa40<>XjIF?8n-!Vgv+$YdnHrmM
zDJUrDDj4V)Oy0<@KiQYVjK|R26jjhb#)BU!Vqj%pu4id#v00RJ1CKb^0EFR2R;FN)
m&38mMu!sVUK}Z=`8Jp+<MK&*#5@!_$8-XkdHT1mv18xBCj5GlN

diff --git a/v2.1.0/.doctrees/examples/3_multi_objective/1_schaffer.doctree b/v2.1.0/.doctrees/examples/3_multi_objective/1_schaffer.doctree
index 5ca751734b9a533a32b7639507b8867e2e3abcf3..8e9a8c85285978eda18698410fb4a31c1fcead04 100644
GIT binary patch
delta 30
jcmdn}mu2@~mWC~i&8o~6=4R8|R2k2L7~8|t7*izxy{igm

delta 30
jcmdn}mu2@~mWC~i&8p0%=0?-oR2k2L7~8|t7*izxy#5MV

diff --git a/v2.1.0/.doctrees/examples/3_multi_objective/2_parego.doctree b/v2.1.0/.doctrees/examples/3_multi_objective/2_parego.doctree
index 2c2142d1b3ecb67c8b66d84d8d1db357059a395a..5f4f10f766099ddef244b21cbf3d526155b41428 100644
GIT binary patch
delta 742
zcmeIvO)ErE7zc1?xK~|?!4L+Mm1L&poO@muvaqq4%xvUkF3reWDcM+{ShBHsh>b5`
z$1UsG*^rbEz`{-_J0fSKp_ETxaq6kxbNZkD=i-WNT@z>1*?U_!cGl`6+tuM}%TvTD
zfG7Yiw@<lB=Aj_%NU<)~jm6dmhjOX`ZyTFkm^M@xd}~~BS)R(m%;(->+{2@`Ue^GJ
zS%x<aF??)Wca`r0=U*F3QHu&B6-sLEGf5TR$M-!+4KN`B&%?ZoVNrHsv7=@~Ql@DF
zQqtFkbEX0>nM@`oAO$|PFVM1NMi>c9|1d7VXQE^rIOU9&jWU~TqpdN;l(rYkCb-a=
z^F+z0F${Ficc8D7kRtJkLJLi`4tD3O?TL>5w`YIkcY7UwwinKI0wL+}peqGr7|(`>
z9Fa0YV^ik*Yr4w><P`_Ar{q0+$v#&RH+&emiI7^n90O8&GTs*<QB3B5M8nBkKdDSt
Pknk{g^2j^x%ny73qX)tg

delta 717
zcmd^*&nrYx6vw+S@4cF)7&XYm%#t$C{dLa0mn1udDQu>u8JRH}cGd_x+3AwC|A1bx
zu(ME#1zA|yQ<R+&?@byz|A57*bH1Ox=XAci59IcaxZCdGW#iOc?{Hqcu)F8YahIyK
zy0U8-W=DIar%{5c*{9C5t)w@+DhjNbCLPNJUfl?Ri_ti57cxnYgQ_m`CT&kA>`7le
z#W^<!20#hPfg54>yN-N7gG_Kc+&!@+B$be(0iX~{aV#hD`FyTK1BQYEWin!13jtE=
z784q%F*IfjK_E4v#h3!hmB!eIno|L}7K@%S+9=cXAyTOZeh*TOnsLKoqmj`{4&{S}
zA62UOPt)o9GoA1_O9`0{?{fhq1xscpT^TR{TbRB1>9TWW@?kgU&d6sd=il3Wmo&Oo
z_lVtD$%Zq<3&&5!!g(z8+k7cWlHo{c$niU3`L!i`&H34mmj=VDayxORzQV`KTY`Mr
H>y`0uXrQ<_

diff --git a/v2.1.0/.doctrees/examples/3_multi_objective/sg_execution_times.doctree b/v2.1.0/.doctrees/examples/3_multi_objective/sg_execution_times.doctree
index 9218032ff7d45efc9208470b6890a75eb4d16ed6..2f8b717aa01be8ee89db8fc1f6753f89ccd9aff0 100644
GIT binary patch
delta 129
zcmdn%z1MrgTqbrCJqu$KEv?Dv%u17wF}X`Z`BO63W2a;o^l%y&SebyuHmfneWMMVc
wvoy7sEW(k_Y+-J;xsGEdk2qKeS-mk>WV4>=3>HzKDr6}G3q6p&+mesC0X7jNI{*Lx

delta 129
zcmdn%z1MrgTqbrSJ#!;-Ev?Dv%u17wF}X`Z`BO63W2a;o^l%y&SebyuHmfneWMMVY
wGc+}wEW(k_Y-(<_xsGEdk2qKeS-mk>WV4>=3>HzKDr6}G3q6p&+mesC0V=yA{{R30

diff --git a/v2.1.0/.doctrees/examples/5_commandline/1_call_target_function_script.doctree b/v2.1.0/.doctrees/examples/5_commandline/1_call_target_function_script.doctree
index 04f28618c1177b1ed202f1172b31ec65cd05aaa2..f13192a5dc4a47a2c4a092fb3b07e529e6515d5a 100644
GIT binary patch
delta 24
ecmZ2iy{>x0cO_;EGqcIRl+J<Z&8L+gO9B9k2MUA$

delta 24
ecmZ2iy{>x0cO_;ML-WbMl+J<Z&8L+gO9B9jO$u}X

diff --git a/v2.1.0/.doctrees/examples/5_commandline/sg_execution_times.doctree b/v2.1.0/.doctrees/examples/5_commandline/sg_execution_times.doctree
index a0bafce86a1f06a8f4da0171372330c7fef8012a..9a38a6a052341968d12e17e843351af0eba33e05 100644
GIT binary patch
delta 80
zcmZ4Cw8Ck_WF}?{GqcIlm@>qHw3gPC4EES583sL^1_oA!mU=+3&7#a4tRO|36*we$
OMS%<~YWzfRaRUI2LluPp

delta 80
zcmZ4Cw8Ck_WF}@4L-Wbgm@>qHw3gPC4EES583sL^1_oA!mU=+3&7#a4tRO|36*we$
OMS%<~YWzfRaRUH_jTKb@

diff --git a/v2.1.0/.doctrees/sg_execution_times.doctree b/v2.1.0/.doctrees/sg_execution_times.doctree
index b283b1e62e44187969a4ab7305b2df3408b15a76..cfd81b175de206fd3821ef4e6778a8ac312aec7f 100644
GIT binary patch
delta 736
zcmY*WOK1~O6zz-?(qtyTwn_c8>2%_!EjYaSW+sAEY!aK)+AajeN^nsLimvQVDK0D`
zVk>8Mf-aOU#6{uJO=A}>6tXFiY7sZOEhvJxa-%QPMKim5&w2N}d(Pe5;5Ik7wJAR2
zs=BRXmaiT1tFbY!9=__;$>RvI3Yw46CjUnWIcnY{nCV^&S*mL}tU7^OIECi}J&?N3
z958ejvPiIeTtYIU37YEaco!bQt;k*8vHdck58*m7;!#<aPs)T8h@(1rM!Be2^NCJa
z*9en)$g}0zs<rVR{18uZhTr|0l<-wDdCm0Ot%*FAr5H~PBx4JlMVDefrG9_meK&f+
z@)7#z@H_``_<eMh>+0Gwi<Y88Qlf|tHt<myM?CAIlDmnw+3kMc?!FEw7(PN*hnUW<
zBcIS37C94ZnH<X^1yT8c=3o)2oQraH0qeQXX_ieuz*HGRUmSfYWZE&=ouuAI=%vxQ
zP};Er47&zHXjA<yq@8?#@^iFl%eWn4zFBsiii~6kz3BcGWLpm~X8Zcy1Mj|f&l{=B
zH+FH&wdkwUD?+akcxb4uVbJnfX8F$KYs?izj8=3!D>jg+vh+(Xma3O=ti02wnSn`7
zwKS6^&ap{#TEW)D6J#qQcBcne9m5J!x>9N2%Z0suv6RI5DocOnAikH1_*UKNBf(vm
XA~9%lYF+5H0$&kTGcEdb_Ko--%;(~{

delta 768
zcmZ9JO=uHQ6or{-;uvQ_YTKCBrtLIoV+}f;zt_o&C;^+qBqds;sGvj_m7plNaHoQc
zim0G+vT-G%6qJI6M>dVED7wf-1hp=8sh|`@H+AF7L~P>jz3<$6xcA)UC1H6<Sez2Q
zre>Q2(_*R5eZ}LIvUH+S)^GWAk~Cb#>f%q2*Vc$N0af0ClC%|9HXrUV9OC{1W*2@-
z8D3$K2GMalrl8YjaC3t;d(QbTb=ZdUw|)qxbt|w%Rn^_9t|#?`MjZ2>cZtllXpTln
zf@{}B%XZC6sV;nz_Xvjj+ne{}qvD8(M!$|XlNN3&e!;{GX$%JyA5#9bK-o3_cO~Sm
zu(6++Brah$w$BRqqP`dB1*{C`upX}AWh9MX0~D#~Mcf;F7v;-2WTRJ4T1_%nxmvkg
z87r%2zT!dOE}ZQ5u~$PQ0@nIp<Jqt*jN?Lh9BW}2Qly6JKnhZnLK{4bYV<>pC-%Q7
zA?*IhL(euhyjIa{5O#Fuac_`E*{T>+<Al|<AD$pjvQ=tk%idb&y&*TsHqj+)hOT>5
z%WhL_&E%wYyHk{~NBi!0x{bC%OQV*-vio_2S}}s=J>qztJ0i||@wqt4Q7@3Lp|e0S
zm!ZfX>c!Js0FMh32xV7$672&U8cCQ;IKT}TCZCA0O<0VL^25qdvNC4!H54-ra@=es
ha}1vft39UPHW4>4bylCMdb(+wplgOr+1=>{`41QH?AHJQ

diff --git a/v2.1.0/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip b/v2.1.0/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip
index ae0abd6dfd09e3e562abbe4328d1d1df1d0892ee..8d3e3eb3048ea5c284d5278d5b591493f27a0e8d 100644
GIT binary patch
delta 177
zcmey_%lxyKnLEInnMH&F1lDcj4w7J8w>eJY4=3Zw&CyD8xER+=HasG{nOj$zi*fa4
zb8|)kpuDB~Q(i{h&GMmZ`5AX^KAU1M%OqL9nXgGil+kRn@^n@yM#IgT8;^1`dToBc
zCzp+J-Q?KAjzDt$VQ0pblOG@U1)J*5xO#Hs5s>)qBhHMvlm8!yW8678?x-)&u*qwW
Z`Z1bK{&Uoe(QvZ+F&{>+$y1J{0stA}La_h<

delta 177
zcmey_%lxyKnLEInnMH&F1SW0d4w7J;xH(SZ4<}>K=4hokT#Wsb4UY(K=GN5)GB=x>
zGYSCZE#05;GV*Vh4_(X8ICt~e6nj~w-*ub$nnXky#WyQYXO&_U-mJOtC^w_l=J$JY
z*%&8Hjy>$iIC1j)!_JI7lOG@U1)J&)BrA`A#CIQYX5^pz|41C;+{tlAeSwBeUVGG!
XQGD{Bqh5@{liiQ`FltSnax4`9z7Ij|

diff --git a/v2.1.0/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip b/v2.1.0/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip
index f57e0b4424606769f6db591868d081e3f254619e..a89accc41c39ea88d243390983fd391e2b5691a9 100644
GIT binary patch
delta 181
zcmezWnEC%>X6^uQW)=|!5ZJkqTS10#-DVw`6kf*Fn<r}W@Bw-A%op=AuG#G5+9?d=
zorwq+WHj8Yl4UN;Bw4>Xwl-LiQFrskd50w!y*8I_*OFs2+q~eaH9up><~vW4I2m_N
zwtwfsxNdUGJ2%GFlP78lPrmog7RZ-*@5Q)ga{7Ca+?w}pjE0jxzfT03I63TtKcnvC
fjq`*j@BCoT=r#H02VX|B$?hNh8AB#d|Cj*)X8%Yn

delta 181
zcmezWnEC%>X6^uQW)=|!5SY7>TS10#;$|J06kf*u%@Z|w_<+25=8Hi*C)ZA4#z~vc
zM1%`63U5})G8bn0UAH;5Hdv97fAhw9hb0)bHkWSKl4BI#yx^)eKcmU!J5Q208Rt&6
zf9JwDadOK$H^%<S6E%e=-+N~Z<jcJG0`k+}yD(0gyym?dqwwU<?-PM0P7eFv&&WS{
f<2>QXJ3rVnYEAz6!Ix2dvinDWMw7|YKV|>`6n#fy

diff --git a/v2.1.0/_images/sphx_glr_1_mlp_epochs_001.png b/v2.1.0/_images/sphx_glr_1_mlp_epochs_001.png
index e9d5f217d7ea3c35384c67c02dafa3175a5c824a..f77fc0e309ee4fe43e3b596aad17359acee89f97 100644
GIT binary patch
literal 26142
zcmdSBc|4Zw`aXI;=FDT}Axcr1=eY<)rjTSTN@N}@!-J4aNkV2)LX^mud8$-YDDx01
znKF;<^WuHiZ>{xR>$~^<WB;+=&sy(W&vW1RbB)J&oX2@wcetL81{FCQIfh|WCpFa!
zFpL0?VYp#368J>2v;Q0XN7mzniN_h|OCH|VZnoHIYY&&J&K_5<T;TDtb#uSs>?AHE
zD<pb^$IipU#a&KV*zq412syi57XHLKvkxA!$3^p;JBHC%qyOV_l^<WhFx!ZeYR3$H
zQl<y4nHd_5k<49YNo0M=s(0^%zMhMvo?e67!Onv82YYjK46Y;@tJ@kpSu+*Blw5Sh
z)Yx9=im_=C+m-z_LWi8}?kBO_rijRDe?~^wzO^O#K0fw@Ug+1f*-3HknUot7?G^a;
zv5LvG!*oQ)Fgp0>D;24`H~tp<!^TX=10TeuT4Vcpd3lS)De-FXk5?$}4t(48UIe2@
z*RztSz_+~ejhH5UYjc?e3x}_NQU3q`=47cWANLax5hYf!tEue`fo``S=Z*dRBQ_=F
z>P%s`{nq-DNr_!-Mb$AiLt*-3v_$USLAQQ==q+`KN(<Op>iJUPez3dX+(pCf;b5AE
zzP^pZp~nRUlya%mZWWt_eYx)%X_O=54(g8fSGe<ENx#*`$nkCf$6Ktct1y4FbAgbQ
z+G_HBs?i(gvu0+L%*+XLwJ~vVpUjs&q`Z0iHuKXDp19ZT15CWd`U=F_YI_~(@VM_E
zb10%YWP|*-*6W*_iJhzGNwDEo?trGbk;ak9Nzw|l=$DRt7q&Ooa&vP<?6WIn@z9!x
zy+@D34`u2d8lIkxx}5H}x2MRm=wn!Vz&7jF#!6UKmHfR^2d*#u3|X4$iP-9U>B#;*
zU0FD-xNy^=qN2iQ{m0{x>1nEv<AE~+RTr0jcBxON%X?GPhZAx8&f)eRHN6QxdR!=h
zPg0Vpu&~hQM@~ZC;*Zhhh&!ipG&MELlbsLK(P?1eZN=l`<JMoES>Fl|uV>Iz*q26a
zQEJcB-``Km%uFgRExozi=bR{hnOcI4YB1o>mT8~w^4H7H?Yjh<T3SY%nJv}S)k*Fj
zITv)XHQIWp#&0xtB+n>+?(-SlO!vw6w_;+#!oo<SIpsr}n$#lMrKz23*7!f$OA1+3
z--=P*X2FIhCP=Vy*D(?jN*4U$qK9_65@%pw;Fpps4E(1b+}zyU6s&g|e-nR5K%oAf
zz!{!|x1D)Lha=e}$=Riynl!lmh@Kb<c5h82JM)kcw8U@^Sq)u=Z9_m8OPna>_`qc&
z{o(f31_gF={B6S7CzfVrW;wsUUQTC%Kis@~m;U+H(Wda@Q{7LSCvPnOqQl7GkK)%I
zFI>pdzvk~>GdwdRbTcfBLfWZcBrpHdkEZF7#xV9$=Vx}Eyg2+buW8fg+WB4NuqA_%
zlan(#?TC)i-i(Z-#Njgx1w;D#&9bHZ*T$J~__>7-%IxvpQ{AV(57h?5uk7c|JDf(q
z&l|y?@Rp99{d`XU*RSXLg$^C6>&iddS>|lX$jm%eRJ)z`{MG4Xsbe_?BlV=*P4Hc_
zhMnCZn4M=1JwjOB`&4;-Jw5!n7nhD@>ampWi`AU@GCSQ@*4Wxg3KPQgHYFuxZZtwT
z>)A8fD(_jTJmu?)b`lQV?YT$9#OVF~{Y}c8Qcb*me><5X<2oAcejxmoedC!rHJeV;
z5<C6rX4-(wdD6k_Q%BJ%=&+Me-}r3r88w|M>rP@{%Jwc<y2vZQ$w>$s{`K_*h8Hrg
z>^G|YkggmvJZvQ+!}3SD3K}uG{f2;$Fu!DEco;uF)_U=4vF&KHFpP8X@yxo5F^XPi
zw|IF80KwWCjJSS?w|)4a@n?H0(@=1}C}4}ivF~LFT-TYcF~2@lr26<%*OxS%$Ephx
z@1oSZ1grcQ3!fW$r(h!14Mf#{wl}^M+fuYdb4I|X85;@X4n37)|BZ`2_9%kW{J4~q
z$m(i^&ACRJ?>$B7CTX#;uB|<=PxjVsuOFVN{j<%cnvltrp*+sU$Y^-+)dL;UGN%Ey
zgE}dAoyX#A#1biKP6L%ooEzldHF$0;eh>7V>dv%%d%vx{z3E`OufgLUdb+Ng?$DE;
zEQPn21fO0k>aw5z@i={Oz7!U_jG&;PNWk`{;08cRY<fBk#v*1z);};1d*==w)?)Vc
z_@SPzuF~E!?`aelX^UUHc<wr;p1rKR_Kl&uq9QZk&$jok{Q5XurEpGpFRRY16L!5N
z0-;pw#*^^FMqzw-H5<?M#UF&ay1LpaGIYW<tGxT^_aHQ6Y`6bd8xWwd@#_U_eic(w
zwopn|f`bPSroc=lOF1?KY%g#}vWk<O%Aw~D*c45>Ho?01vx{P^B`Wyw<Ac%M%F&~v
z7hDx<J392P_LtMSy1IVv%4ddkIM>D(WA)~q!0N9TA4CAUIb_|4a5&uROx5f&=OLvd
zrX^%EGc%q_gRWyO))VbXU#hQ(KhjCHkB>Od5E~-8VAQ6j7R2+pno=9kF#l;S+%r<M
zF~g9Ono6v!tc-3MEf%Qqnx>x`sG*FkpG*%Bx)~Zu{{H>@psK2>j#7uS=$Z!D-cdid
z7C-48Pgn9Ix_tTau_uP)uWqdDty!C3cMY(%&J=O#m#J@TRK=_oEo5b7k6*o7Fg!kf
zpv^`s)1jxZ;Z6MEs9xzKgbUjnvpwru*S=?l5n&C09S%=5)C`%cnMLTnmcT623kV2k
z>gq~+pPhM~tDil$F<X0n%au0Pc9=tjxA@ArbLZxM{}%I>o;hi3ycgD1DBSb0-+Ui0
zd%Y}7P@GPROyJS;FNXvEY;arLn3i<+o-DMnv9SW|T!o!F{O#LKhz8yL=DctRgm<YQ
zVch<8@Q|RyM3$!3*5oRAZ`+lbfm=~gC-RM-KD)kTzq-1bSf!<A!&mT=aqeS|79A}u
z27zI2&gJ2wN8LX>*`==H)p+aMV)>%p5Fe|9IUk;yqJS|1>>h1T66gOeODFlVY{;Me
z+O=z|u+2s$CN9m)^v9o!<A(^Fq8z|=u_aQ}+xu2qsL5$e;>ZgT?-?@=#p{d%Ro)tg
zhWC8>9z95b=u=d)F1WrtecpDcA%x<&&-{fWmNgutG+a0H^ABfbW#tvDoj`O&t6)NK
z7+Qx`nAZIxxQyD=xY}A}3!f3<_6L&ry*-A8h8dQ%{ysmSJbrfh1J}37$%}9AAH^24
z0|2so#^cY<{md^S=onJ|+}FnrgK%71TRWSB8DLod;)~mKDo>3g_%xz<#Ka7axVyNh
z*x2khFfg$99jM)25|(ft<j_^#@`(3iWo2!9|6a=eOpd`m1%>KvDa4@)QjN@r+?IYC
zK^yA&`ucMF`})pT7fnnr&kRHe*KX2ZxpJjz=EM8<d;7{?oo=k@i@$$AtE9xxxA4;s
zm+4+f3CG@&mW@DQX|c9+L^xt%;<<$d@yfGhiqCIjCYJDbpWm+!KEKd>o5cLj;eGpX
zfMgEOmJzx06*4Qw-#>c(K^6NYYbIRB+qV=3PZ(jTs*l6Jx`ZNJmVcc?!yKdV`<BV0
zPd_j$Iyzd$Z@px-G9`s$b$y+!l$D;|z)^X0Y>bYX`JmF-{4Tq$JSKQ9mSb?Or&R++
zKT0FJvu<dp)?($`OG#ro%vOx`xT<RGy?gtG#<M>CxO4B`%^#m0pM5fvsY<#DdqLgS
z`PI^1a&q#y^go-V+uPeNZf-#_F*JAY-fgOT+-c`BH+)PxRj#zxzir&DZTz?3_^F(`
zh^@B0`LeKhG@lHQ0h0&|XE?}v<On6~$d;@V5qgG(H@|!_!Rl`AVd%&@L9u`Tew9qU
z46Otq^`e!zISkAG%_@FrIMsXbn2U=Dgb&dh%U4&|){M>x@9^OJunZ%kqg&z+pB1_M
zp2OzyWxoCUiNeFfM^A7hB_%DTwaL0qXfrY~SpzgdL}?|YQNRNOImAeQhJyeR>=Vx(
zcw$Fm)w2Un<ph~Noe;1BK7F|UgY#iF+<xAy7CtfpKxut_ee0P*+OA}X=GocV<{##(
z7!dUq%j&X^jgJojP;~bW`CeF2US8MJ!z`B6-f#X~6LI$aAAfkXwYA~l#`JV<8!=W5
z{kA-^APkn~;j@K2e0+rU_4Qs=U)&uLch`K_W#4?`X;pc7VwJp_ck|b;tU5Y6G6CBP
zC8kG(X9`I8MCs^^>ggDYy*4=uIcw!%BL7MX+8PcVJgCYW%cHD3)NlTz`{BvBpPmdM
zu$!w|`U(xktWYA6>^lC231*4uscC7DnNS$aAM8g2(C*&TX^THTkpgb%Ju#%}zI1xu
zFQCSEH1}(2X*oPwsT{~Js=58};r_T%UGJ6%6`0pckz9&wrcd|gpDj{{*l{N=E*QT5
zHa?zI<*=g0A6MVn+S)&0C*tJf<l^ow?k)X`4T$EgHh#2^Kcp%8%)VL?aT!)Af!GS`
zLEYC^VSDz^c2RHa)6Gp^&HeQI4<3xLMa+ZCf7SX>{HgM)s%+<>8krl*1?7LBIfyv#
zOL#jnH5CC%mA!POUHn4^a3DRwcoqpeT8LIcGs^y(G9=U-WZvH1@C1k$qd><o{KDji
zu~-eRKnQAP=H{Ih?w79))o|kH1+1df2>}r|Hy1vrx7J=;xCB2MF(qwL?t(+1TR}mg
z<Kan$NET576sJ~JO0%*E07fKWZI1l<6}dd!H>Uh&O*d*u`Ol_1tkh$VKe5Kgz~#D%
zON{uu?3mCqZHSrs`uTO1TsfniEJbB&YkMKJpx_84w-N`0GcrobruC&M0B`(>h`n7K
ziMJr2t9g(H@eHdcU7H~r{k8w;g51qe{TviNAVvn82^Fnum{)r2fuyJrk0YGxbFPK3
zcL74lAz@)s?8y0-ln|*+o>}35C6JVwI(l4Rd)~^$(3o^8rvai&Xnip0*lg_|^*H|1
zBL15`i{Cp50ce8_1y2A)0PcukpB|kKHqLMUv%R8RURgQ%LHSRC*FEhghNHl)TA;b2
zSHFln_Z_J8WRZ2-52RYp*f=yd_Yf>kE0}5*5057K+3Mg-)iB`M3`?dQ=N^ATlnL?s
z2U3o=A=SAETXb$|sd+3$*&=5f2w^C*g%1uQe#3BmFb?Y}G*<;W&SIDU0w^zl+y(dq
z0<eaMhs5#Y$3?FFw%LIZ7r<;-IE}Ag?}0wIy?gg`!S#+P+N^n9QN`pQ4;CWM4Q_l0
zI8lGXxGY9cLqns$w3Hk&!It0SZ#!RH)?J((;uaMZ{oeibd}^;rrH6o_Ad}S9FFYhK
zyrz4@H-@fFa#sI-a~Ne(O~n?kuH!Hi5<Y)6{5COhdt@P)MyU?Kdv3scXa{tF6FL;V
z3Z>?h!?2*>;ASr|adA;#-yYMwOjyUG)5&ZbvM}TdYv1Ay2?>QpL{LD6h4=!nYC=rP
zsh=!WCk!auamo$=3`jyq@5aT6+O*MPbueQV2W-fLtQPyBw-7)W(n(23cn=&P9`fIC
zEX8$v`oz!}O4SI{(~PY`gX$raKxSJopQxay_}u0-y=IPq$M+6gV;GHwfdM_gZdxQT
zU<$;7p}jYsJrlv|m@R#+7q_z4M-Va=vu10=v;fDN|D>yI{k<boQ%6S~<`?q7Jh@j&
zM~_nZZ7ef2TG~QtTJF16%wq54y}9bjxOZ>Xl~0dG?H(p4vx|v|HJxdLx$&7ux=hQ;
z8cs~HmnGHIf4-S{{=NL{FvOZxKpt0EC~O;R9jY|-&^hI;MFwmbI98a!6Ez!~hhGvP
zM?_n5%kJaDJ*Q5ciX40aKMhzVe%(;|RGG&Q1K8_X00sa(jX)No+uPgOHl$&segAB&
z96EZGID<PiGCcf=r(+FdPpX3Pw?Fv#`8Ctke0r?g*x5;^cw?Dyg_M}M{?n%yEz7xH
z94H)^%F3UdpRCPlUmje_(K|E;+QKMG$RO>R2k^0)>96?m;xY|3MpyX8y&c=)+;9I&
z>*xlS0eM$VO^y1(9x6Z(?E7R*6y(5=%s0YDimY&-ya4mWB5BWv2)Eja6V~w6m**Er
z>FMd`V1tc@Fk9q)Ow;CXOccHN%zx{8Q&W=_Z1!8x(V-BIz9ax0FF0RT_{Jew(&5r)
z9X-7}o&KuqBtZD;5Ny*ZZ_+}rbMf|Wg&~XyCZ*|KedY5lRs(WnwA5e~Tf;1_u8zex
z6wqXx`hH(?ztIGpK_g0+vP@6zzbls>TB?>R=h*;DyJ<KMLLQgmbxb8bN2k(rDire3
z?1F-VQ#`KT-Wn<@7;u6-#rUtVnIIyg!Gugea`~}&m6u&lA*Y4^nr$Sf{9ahjO~9Nn
z49JAfOvU6}zx#)MN=jUZjSF(6FoJdcm!#ajJDI2d#<X<x!h3mjzpv%4d=I3Zse#6{
z&gwe?+=eOntq-qFrZc}4jNvub$kZF|)ZlK0R^3TUi-zynqXxUqZY)phTUbOx7P?PD
zf)PVsP4yHFc_uGMKgREbBoIG3GLD&4c^yT>98&kIy(N1nn1z~d(eVufuy4#%(NOF?
zQupM{<7YQkoT`_)&#OBkk%BFX1kggpcU9zlifpi?L-#O*QEZXVhueR3-(F#hNb$?>
zhrf4buYQZu#jx1eSfF@yK*671Y^6pdZewM(HQBi)9QGh&S?q~QesZwEUAH%{{pu^D
z38Usb-Wtt`!^AJO*8%Mef|en|jS`_1qsKsw=jP|@SLes*SXgcWm3AG1KaY%$htTn<
zBj5$<q2lHyX5l-3!mQfoxy4Wqq~sh*zAUwyzbUr2H=Ntk6xrcND#xZkG>L&Mdju9t
z13YAEDXna(Ba@Jqk5AP04I^X_qp%_q#catTC7be%rDeUi!ze(w356f_-JEZQWSYCu
z<3|uo{KenjUYiu#?7_C^g+N#$qoQhtv@%lt9hLz=usU5fq-SDs3$iLcm=Bn6S`9)-
zuWv!X8v$fF0kL%+vhy)WN?<5+`pTR&YW=rp+1VoigZJ_ClT3a{4=XE^erO=@`}c2@
z^p`mFP@@110gm6o3iw(e{7xoJIE$ReAy5UwAV`<AjKyp2XOZ_h0@T3bfEBQ{o%GAJ
z)IJ0hBu2=lo8Z@@VEJB;Aya}R*=Mm+gN~Ck3OWe9hBb<$+Xhw%f*hT6r6@>cyQUQL
z7nXV~8zBKf(HGV;ibQ}+s+oHI?tROey#4+aG+jx56U>^)eO|o0T6zWsXex<FNPY*$
zAL(t5U>=#Bjj;^aD($6kx8E?In3SGG5^pS%NMt+onF)AVqO3bV0Rcfrk)^V`_d7w+
zo$s3uA3og3?pz%hu)RhK8TR*2k7*!sot?g`=y7>RG`5)sibu<2n>K#yDxEOFzW=v!
zGFv$0jIiz7e-9FpP}adT!k=ueA-dYeul+z`52RQH25BiNl;LVYpwp?(GQ{RwKx;!x
z^r^AKj1VpBj)+|aWS=O<AbhrF<9)6#&<ht&&lAUv;Q)O};Z7=csSMq8CA~w8NJ#aX
z9dulL08#k@NRj~I!7$lrzQ0eJy}EAHuWVI^p{)md0-unO(8+nExVTsZ2#Acld^X5r
zM(YcZyk-O3xVX9=18OP)S;M{fcnIDQ7jNFYY4z@bBpDeQ{!|WRjFgbmL`Hiy+}wkH
zr>IC+34|e%HLknUh%#sO?jguHD)vE@mhG1aP(?ZhhG57x*y4-KD(E2_4g~SRWVzR&
zXe9ouMLle40NOweu4_b)LSuN~v6O5QWQx}p>p(D!O-#H637W$8>X`a;p~WjUu_Q`B
zrbZwh&A-v60p2A8d=>3PNb*zUJWut{&dfv`<r|McoM=MgOo7RB0#Ih2>-Sy$kk$;-
z^2~F}`079<6UcfkLBtf1>$Lz+n}Fmfejp@)hu-+ZfA`(+D?qwjFWct2+O775L1!}(
zn?ldR8n_)qCDwRIbZ_;2P*|V@<tP}~C@?HuX=!HIdaa;8+Alr;ij5kG;eod86BVVi
z^j|x0>3vH00j>KP8Zlg}E46=)cK?Bdd>B?TXlU%yy`_X05h>}#k%kbX_0=yIV@8rL
zr{S>nbY*UN?-?YO1;MUl#OAusJBND`5)hzt9z{Y}>5ohxk$wj9vS^7CP$SJ#ry8ne
zYa$vNj{B~SCm@_Aq2Z!b;Z{HY^6I(CS-!7Ih~gEq0=;P}wtXA<hMG&^*1<F%0<5FT
z+u38LpB2)SmV$FHkXVZ{4%n^Y*H5dd-7KH}{{0qE9oKs^0DE6RNQ%$c^Ic<t5+@=d
zQPQhq?9?}>aP;VD-x^Tij#yN)z`&odw%&*80EU8577VnsRuUJkki7_1vMV(Of)=rn
zEO8|WLeJSg?qXfE2My&9GH+?7R18*ep(Vt~Xk+L#KYAj25{>tLA@ke7Q>;PU1}!H<
zjrYmI4IoUTke<}vn0<BDHod5*NZ<13Vc>ORtud|D*A{4*n26&~g}|0EOlq9`_RVI|
zj5k&VG|`Q%Hve;79CbNb3A{W!7<mZ6$jFH1>C;c2&j1I&Loa=NeCoQoj8a6-e}xQ@
zCss3(OErvIa><&O?i_QtS^!%&N6dAi7nRpX!w<SZ5JDXWXgSEQlVXzdK9G>KY5MnX
zH>B<XS`uN4zrHe{3=MFJ7P_^VtMxs<|K&(U<}@(+Y|ur07T!tI?cEy+VF&c18VjVe
zo|lo89RX5*;Va0q^D9FEJ^7r)j>h5yp#Q5kH8)$Y{T?Typ=kwy0D2k%ge?2o!i3RJ
z=_?<JP~AYz<2#n59s2Zq8LyPoUf{{nm23_`M%5XD#@()EbI{PyC51s|$K|)EUk!T`
z<W<d5_c1ik&<u}XU+9pwS!h`s{W$G9IVR%RD}lBZ1dC<}IGvE+J$(H5BCJCs#PP(R
za`5{DsIm`a3mSzv4A3<U*gjf@*x~|-xVZRp>qZi!VIe*@@h*AF(-%@+RGFCvT*!nt
zWH(qXJLtP`T1LjCE0HECv1?Px7a~id!ZooA7cX``Idc#RWI{qhtFQs`o+5lhl?@nS
zHF)OyM=jyZ^JPw7s=SNz6)ViBxw*OLM}GYH$`Yokrgmu&#7@=xuG^V2UWlLo26Vi-
z;r(l%iW!mS>gs9?1GVf+nKL)iogr~RnFoT-urQ6(<K3{Fo<aLPrn;#h{7531)Z^#p
zJ=k2ppOpX~=%lFMx(C8c5aSaSZ+N|mncZ3$(tzA@9wcAT*63kSRHEGJUn`v?%ET2t
zm!^AaOu@{|?7K4Ht)5@43kvkw+S=-TE4PE+D;_cw`*)s=Bzi92xntP+nL60Sf!h2?
zVkV(tyXif6jT8p_>6uzcg&_NaT0{JvN;S3a+=mZ|K&^ue`R4IV5pQqpO914kjjn6I
zZ9%|&z6pr~eA|R@n4bPZ4fRLG{Aur`^dVz6^3|VR`A~Vomz9<2S3o$~h8V$S`Peug
z1ayjf_wOGUj30&Q&(z4Bp}e*6Jv)Y1M1&TBEQ+qyjiLJv9LVY2xB2m-0bG3hgCyH&
zLJm$kI?4MW{@B>sTGs~=`#?!7s)0KeX?#9qNYTH4KNKKq|A7PhgoLO;60C>x9K(Px
zUKl7eugZd1wd;F%6kxi!G)_=UQ?m}HgDrnUP3?2tULmtv-a~%O092~JzSR{~sy0%_
zqNM*O2Lk<jGVe)EO-)8leq2+N%;MTO6B6+E?AasP?fmHx6)XUtyB5>itE)b_P=;^?
zG_I28f#@88lwJ@Y09*6CIBW5Ej4Y_`Q?1QH0WbE(Mhx;NUIBrVM?U@VKvxuJType~
zOYIcs?=!FVp@Z<IJ|$xWWh(@NTu6uNZn4+FwZis=%#DnKLUnfV)pMwif%>)&w&_l3
zro^uEIL8R|Q^mxDrT3*{1dJvUUL3j$=+52}K60c9`Y!_6F-X~{mV_uzP*70h{qP;y
zB5BNkLB4}TEZC@|U%!4O+q35wr~*FLnwKs;>KtD=apHu}_S&Q?perH+0BtB#WMyaL
zFwjteV%EVbKs6VrDNwSC5rGagX$o@uN`X}%S(fR%ce$7GbIQn^QQL27HV&|1<^Y}$
z`gmH<N3_ucmE8wH5h7cDaWScK?Nd7<&>^*T1>+kU8wnxl#W1K9UmrM_(AH0MOvTkz
z)Xm);AlS84{>7KWJBr~26Z3jng7AV^*nUqBhkTLW`II+S6SVjUKo3Zy+WQCg<w-+T
zCVF!Khf4WIT7vPvRqwT_pKF$ba008t<^R)4f5+W>xwxgApDRy<f2=S-<~YDdqN1gr
zMbaHjVysA%E6g@~#`1GQ5$8Kv<U3f2#B~_l+e>ibEPiSdZ`9}<qOx>iYhh|~aYKvZ
z-B&HdIB}Ht`^UQo5=*G&C_BPl#na#}$2o^6f55i<jVNAt#UaU^n=s>me(C2hg%I*K
zWtsw3*Ym3mS7x{n4W_cfN+j~`t0c5WzE$^oKZg`-s!&|V$6R5804FJ-K82j0A^XtK
zc!%RU?y?B29(w;t*_qAPLC0#GLKU8VYX(P{k)vl>=~*9ERa8?@-L%?p$EeZ4;viCz
zbE8?XqapoNE{>0AZp1wOn80NI%G3JRWxRiF|GUUk<iR*UY&S#QahjZIu4!f6bDL4n
z@7x-d%6SiQBB!1(<whmAB&(_kvpdNsxTQ*qX@qPux^yzBOuSk8gMOfXj`7)nyP6oY
z@RpZ;+O>`2&{nB17`Tc-N__L#cYQQym}Fs?-q2zZJJXwMEsB{6&NI$2Ei4DaGp<rY
z4@P$sYB4&PknuN2hrQJ%0d0?`K-wz&xj+zu`YR)3+(4xvifY)~+edi@td5Z03<-g{
z7a_O+VAs??kaURrNfv|$fgDNJAUxiRjBH90zpU-Y;yLyPYE)36VS^0^HSb&H<udK5
z^2|W<PC&_t4uUe2{OqUx4#-edaT#se15N-GkRi2<Fu4pcV^ZxSdSBQw8uW&St}Z4>
z%Ak6GrJym7wFkr$US5V+vLK$sDh5wFF0N>#LA<_u0K-ysNCN@_s^=Og5+xmsQ+vOE
zeQ_|9hC6y~VN#Wr2qe`VrVUvtIi{E2HMhLn0!9N`1_t-m<-fy)<h@hl1Kehwg|=9P
zDt3^0_+3G$V=|0RbkgEN-zk%3vJB8NWBD{deiFDZD<gx#7}WE;eIY<0stH`T6Vfb9
z1xyW4e~s!jd}0V=S@irJ0G6EuTXxuM79Csy)6^`fHjL9}6@X0W02BNJ4U!UESzcE6
z^74u*I+NdpvI<acKz5#geK36(<RT($-gD`SI23&Z<4^gnZfp#_weHfHAkiFOcN8K4
zPO3)LCP*+m;09_6=&wkMLxBJ!GmzVArk0_slL_r_4WVFWD|}HFr-}7kT6eVAgPKCs
z*4fXQOCc;Q4BFneZ{Jwrfgjejwmxp@LH#^*hzx_s7<A^b&OZ2kNa$!S6XN0sEiEmx
zrBsg}&vVojN>CL_7#i#R9PDsL#XXie2r?S|;9@AJ0p|jt34&R;EjU+Bo;-=xwYxn0
zIVUFv!`IcR0Bp0AKG`V-)n6~YVo=S=0qBv0H;TjvRLsmcfJGvzy*M+#j*Kt*`gFj5
za2Nx>whH|H&Ye4$in1ky0ZI@ePF%Sn@X~oG8YC4f@CslUB#HmA7-apeEp|dq`{Lg}
z)<snJ{kxr6g&VQ^MEfx>FDa0R?<6K3vS^A;O4>sjcAoITe+?7Oav;~JLAxGlCqXjn
zt1wqbsHv?Dbi;0OEdRbWHP224oke0JIfa?>#uf3EO!Dzu;i47eVp+S=Sf&e`Cajz~
zBfcG1a{jLdVE}6k!UQ`4DzCi^?C{8`o!oto2xcnQ^Ju-uj1*xI8!cQYo<bmWn4qM2
zVwwU*?kgp1bAE5qhhke&x`cql`h?b4iB0@0X*<O+H2Q(?2)Tsh1uR0AX6G3s01;yl
z(GY_GSm5j-fSr~_(t_FjDBp`LWs)NB$ktK>7P*0dFLKQ9(PqpFZH7xInFHq-MbK5W
z=qk_ub5)}pen(CCtO8F>b;#MkB@Bo-TO#=3M{TJ1-MxjEB}d_a3J<t^a(`JN(L@Lj
zY6!-HJq<iOi31?l2T8GnWOraBc}P?o>iX*8=ky6Lz{iD1V}+J9Vs=!2HTK^x`R6-#
zTZe-_5Lyr+IHkIU>tJIMBIw*pV0&P90M9AHZ)E7<sCCvI(@6N?={EqPsrJ+F{)Gg7
z>Zp&r41ke64<)|4VQE4^1^IDyuRHozD_}4j_N5WjTp09+%@Eu5A`dGEg&FK=P_5)q
zP~dp-<cVar`ST0JQ1zw&+l9~d>%3xO#izDV<(xN`MG^FW`=5>F^2jX)4Q;X~7zVKq
zinC!L{*Hn?_<it|Jm@rcl9SInZb3$e1X2+Bj-NV3z6sVrpzUUr9<Or;J2F+F;CMg@
zczSY+Ov*ZgE^acZj2j+mvsA#3`Ts9zMXl3-oWh^Y1;m*^@|y$G7UYck1O#5^rtQ=M
zV^-%D7q3P(K2aW|jz$aemJ!i^uA%?@tPb4f&6_u<7?%AT+KbBRU^r_1{Nzk*!r29~
z^RRm**rGZczn%JwUpL6{#16m18CrgvJqTl+M+)WOvqcuL4T-B?y^4DC>eZ{*)Kv4w
zQWgPQo&fQzA#JEsG*wiq4t0sa8?%bP24As5My3k4lscj^F(^qi0RexilyfT&=@U9=
z5ax3cc#N-$H40cQo$y=h?W7EZK`|7Lo|sX&h)Q2j!@)yCq4fJ)fuCQ!f2OzeFcPmp
z0OysJWrZMB_)!OHkfWocO_OX<EhYP&mFOvtdT((&Ta)!mdWp4dkebM!vUJLQtd~@{
zGva3oE)e|(KE71C<Gnj#f`<$)12}$Zx8pxCaeqkRz&W}oB49*e^--!$9MiKbH`-p}
zTc4X`%@``Ox9;6pW~U*GI28AqmW|Ec0~a<Dv@<1^WiBJfk%9t6ZXnrJV;i9BA~p`C
zGsipr(qu+&&+qF{@q2Cn+^H}P_Ev0s@okI@gXm!b3)HyCA_~CY`se2-hXe(|{Bi`d
z0_h73ddyR`D}y&6#gnR8|9KeJHjlhKJ5cOHM~)C-NRTM)v1kMVz-6Xi7Gi)kDB~#S
z0Ncm8=;!Kr_v>;$ME!%Cc{kfnVCotgV_>I2u0aT*bP#r$n$+eS?zFdS%gFS<d4Wod
z5XYdV5!st0?=3V4>KsHZu%Hp3nzFyY63B@tV@3UStEkqGnU4O<9Qf``<Xb7-5i*2k
z15DvOWI+}3)=&SA{iQ!92=jyq@<XR4HwCt^ceWTkMzDjO10m{bn=f6A-O0ZQJrN!t
z4@kq+osq|EwJ?I=ZZpdo`|=ttghiZyC}I`K+k0I?W0hzEc)m~kmN-W9^R0REk16<`
zt}C_+&|T|qB1ozAib$D^!<@?I5f=Ays*$?~X`flwhsiQ>&g4e+tWo@;k&z+j*~Y!m
zV%bKZJqUOhb$m}rWyP}fI#@~&(w{p37{lnX;NNoD>%s1Rj)%+i=YrRZCYLc=>GnQm
zL=fcwrE;$wtQ*i(CY|e7a$gCBCl*i=W=P)E#1AJw4*YbDEfGHY3DnY*ctC-w{Td1e
zhM+@r=e@%xzpYQ{65a#4ftsNPd~_<4Xmj?HbNYyz2>QqyK8jpGsQ+CEP+h!Hp)OKU
z<y`nKT{RBIbv(G{T~oo)PBpw~@z-w?!EeWD;xp>k9p4k8p34E2dxcg7xp1Kw>Y^je
zC>1|K8kazA_EyB(8QRuH4$qbkA)lk^aellYf#S^oD`Cb_vdRh$%2{#*<(_qz9R=kA
zCcfP|ZUwh|2Y&7t=*?U=urlE$ve7=kjt0Yp68|#ex0^@`DT+JZaL-{%Z{iUJPy%@?
z2}xAWcV5DHVhOHYhP>pjTdd%ghOcAYZXz7SsIjIZSnu6o7?!_U+wc%KhhPWnJ@IZ}
z(g5wV_nxz3dQdqBC2D8VNkS{wG)R*89TY?Wl=s2!r_*t|XY1aP9y&}Swvt>W4Q;W>
z)MmqokAdCliGe>Pqq&BHXKG6Q?rI7SFx`9{h=T9+=tp)Xz^K7u0smuB@DbtQbbfUj
zAQ390A|BuM&QwbhYY<#<2wY6XwjE~%QRpESJBfk#wjbkxS}PE0AeRg)uWiI&yIO%b
z`^d+^UR<x1qrIy(aB33wp?hKm8clbOC61^L0u2F%bUFqG!U{8|+hv(QWo}^GuL9c{
zw+>kqU2Y%XLt`q!pGqiW*TDn)>4b0Eg9o<}=K|NN^mrfrZU{dLU2BbE4+DK2hoOxP
zHCzzHsv#n+_SA0MzA1a@TpxcwSfHqq5~Mh~uhMZObs*(udCv}Fc<0)!y>MqU)P9~r
zK!W0X-r)4n|CzCzEiehJ@!M#C8g^P*+J)5uZCWCf^g|id#mh?_yj)OkJ2UHljw9U(
zpDe9sOq4RYvxsflAL5=B6lkaXS%HZh{R5s74C9pZP%$<(e%0Fx1w=sje>JW#LYAKY
zG#zZAARO)Z3QnF31ScApBZI(;6z++%7^u-)1YuIfXO0JnxR3+gr9W(`Rsrj;`Y;(<
z8|u7dK~{M!jg5_>U~55k4%JY~dVowM$Z^QHU{EiphsR8H0Sdo*2K9Fg45h*U$MQB6
zT~q`L706)7Nxg@GU*&&Kc%&r%(#Ig-u}zK1(NEdLtqSd(v!~H6y7urM?6g6X#Yt~I
z(H~^PASH)=P}-nGH5@1nbV8G`I*{M@r?C}M{70kQzXW-d3WdrDcS77nCb<?VEiJ9g
zPP<61z4_BBDx;X0BGtFc4|do7G3{b-XoAv(ycm!z0UNqKe&&&OU_^vgYG1|mCD2s_
z!S3#8I0K${a2w?7I97uk2M##~LQ5~NmtR_@9od!#gm!Il`R=vv-h5@S`^sMKg2}vK
z_`Xz9aRc_4+TMnTe0U55T2$Kw2hjykoXXwC$x)H4`kMQh+EP0Z<)DB>DCImz8FJjU
zXBv!?s?gaOsO(Bu37_Uk+yT2>L0F+#S-c8MpU*%XJpr{wRAocCCb)Ki>bR!%&Hw%#
z1b!GDooM}QIy%(8zP|Q;(@>zsgMGmYO0?h?Nj7ovG571e_jVi{Na{2Zdp+D`69c^5
zWm#Zj(I-h@Eg+6T{=7OH@FxP23-CdWp#uWo+@F7Qxae~Q=YPzw<~>mzdUI_7)sG;1
z%Ju_eJm`L+_Ghv?he1a#eR;*mw-Q(QZs~2kO}As=ezfV7;@;zsZ*LwMQQ&yOg|DhK
zipUU)%1<UxG)e8d9TCw8ZX6`f55Br_5p>XhrUZ7KS;XK!z`hHsfGR-UU1S*p5}~U_
zI(RrB`-jqj$i)^)RF)^BrdGGI;<@x8jS6J7d5ad~5B0|Ygyxslui+g@6049}V}k?O
zh=_>DH?zTE$T8j{V1<E!;eUGfE^L5x&&8!&GNa<^S23umfS%csn~I1sXvZX2dx|Ur
z&_Gm*{=Kj;Uq?v8BPu$dHnGPvWjGlpvUQf{r}=JdI)XphgW~{XMHVAKa#KnpP&4YF
z&#qw6++5H1v`n#Lnj&MeBph_6Ad|CdIa${@)UOEBC3ZM}byG?-E*cX8>oVwwCxERq
zOJXtH%G7X@1BhMX@29Wpa`to-GrNrN+^Jz8yYXh{PF`{GE7&g}m&gwQ6_D_$r6?ft
zP`U|w@#2NR&;vn=>w4VShs`%Thjt!O;X$iKGRC*paZzt-fqS9U6<S*<FqB3a#208j
zi?LP(x*Z)pB<>x9!e^v*C1pFZZGkdiC@|Y!Ar2~w)0?tKZ+t5W3*TXm`x1hYUiyio
z?$@uYP{=bDaPBT(g(9i;TDM`6wJeK@@=mt+>%mFF41gb0tIF{ONgsJs$IpM7ro_!f
zdRksXQpC#phwj)xa0Wpf$bb_x!6Z}!7~+56wqB}aAd|$u493C<UB($RYRGa;AM8#x
zKR*?|=+!bCROjcwN(c1`0*sNI7}0y=UH<*_hnLW4{9fz2X2UJ>V+|MH?F1h&hBzT2
zN8}6uidqlmNAO18c{~2d|E;>UC&kGb3$kC=nZM78(7t%z{|b62Mv=d<DTRZTE&+j1
z6+pEkM~gXmPk`}j5t_Mlo2}h|kid2TyBjh`RZ+^(9zr-VLk0UIX%AtBqN@wmOWpl9
z`&qt?>lh?b&i(V?{SN2&#YC9#N)(vO#$*4TEnF;5iC=DkDd#n;eW#B|2GaXtf}GMw
zAZ`4|U#Z^K{{oT%W9J14Dc9OEW>$?k;#@{DDsCX+6$NrBm#hqSOgbU><m44AxbX($
zp+!yC@YS?85oiM^$%j$Z#P=&>O9yt>G8^!yS8k4PcALfst!J1eZ`dJs%QtZyX{-~t
z?HBC1hs1Z1^4v~%hIlO(Uh7PTVdL&SWN?o=^mx#WI@FsOhOd|%`lFLV+P0%5{33=Q
zaFA!g6Sc|iu@l<mF`vm;u<2BXGZ`mzx1=<1z*~M15b_vR9wyu20$+h-RZ60v79xeN
z*^sheCu=z(-Q$2zJ^U*gT%g1g$!G><z(;e1NDq*T!QEN>M`yc5vAY&`tYs62aHsF@
z4iLYMB+li>#~f6mKc1=L<0E5m#vv_#8L$$O9P}|*5}-Pm_xak!bQzp>iR6L+FET=B
zB6C)F%S;86NwyiRL44`txf59be-HU^4k%K}vDXU11S+IF9{@7~-{HerzED2vF$}Zf
z3<5?9k5PPf8(Rfmku}&_km3HZPU<t?HMepwkbn@G_tGDh-W-4}A6Qc$QEBnw<m4O~
z8{<=g>Wj7~S$92Jj^-*SDt3u9|HXM6XqTg40|L>N@ht}j2QtFlyLaz~{RWU6*oLae
zw&1_%V{_@!po90*^ATz5<5s6W*EOsDwSI3klh#3&1eyWC;NYP8IQ$D->@`zfKtIs2
zto{7_7eF>c1|Znja5_kD%;D5uF<Ywn7<mcj!=c?(D)n}hFyjd&yA)-N;xY?LiNUyu
zsxqi-2j_hpd`}-gPGBe)zdE<F;@rd~O~1qQi?8kF#$HudL;Q`6i@Ru;78iGBikNF@
zd}JgLxpWj2U$w~1&(EWdj=?zqs^#sy+0*ZcGhgUp#ImJ52VmXj+rU8Z$01YJ$&+RG
z`8#)NO(+2fex(aF_V;Ou6qc4lY*XMV2m5Yz*gIDTF9+E~4<T~ECYy*OO1rwEF_1+t
zp^bt1kSOOVc>DHk@Cs32i6YhnAeJ_-gG(6*J-7o=z6r(gJNNHjlBirkb_0mVGTt*B
z%d<l<`q}Eo1miFK`tm%=-*<1Ti=@czBHyp!?wuh7MWp{yc;e^aaI*dSHbEH7kzAt-
zG)k)&5&+g$W@A8b!0LeViF*Aq0S8eg6#9LJ14&(m>u_-Vsz5*H9WSvm*{1V8mt|={
zD}(%1N!XZKa(8!?@$OUEh;bczYTVcT!^)g^&j0*yi|6nYOT6()(hky6wOmrJovIhq
z!JXmDujZgELLwI`BN!^~&eA#f<14iJY&duMu@syk&717zn42yfQc5<w0S8QYiv{7T
z7d(SZ2!8g8Vg~Oh%R(S&LvSS(h`VFo%}c45i@)nT{E_Z2I3gqD>C*n`;~>joK?RzY
zjW`ST#A_!JvvEg%JQllNbnc3Zb>X?H9c?Zco-#Q@wd(Q7`SC6zI$wurdhczoLIU$w
zdH|9a8K>UXe;3@%bSuHV<Z=1vjUNfY6|Sjo>(NCRTqOR4uj5jNfAU!*ha!0|kA1hJ
ztk4DN&~YmvZbI^+#4=%Mx`!^b#Hrs8OD|lXegUuty?X$?8<^h(BIw!A_pmju((eS!
zVt^_`@1r*e-5T9QG~Vsxn3Y=SGXsr`X>3bscW_PN6Xo5WF2VEt1%*k^cyv|!p^2+%
zz%-Y#7m2H@2x##hyPy~a7i|YQM-#ZAggDmd0`_oSyq!>ccRIRnK_foYO7om0kS_c&
zNr0+dM%HjioE*-P<a^mQNfG#@3qGm3SpFC6p5ugpkVk#x9N!5v#xSQd(I08%W(ZWU
z_uH3tl0|(*5$xlDc;w%|iym<~k<>?OPsfklG0qc*=iJyH0cg3su#@1%GChCrpR~;_
zaAl*qERsBVW6_zjm41FB)t^KqKZ=GXy6RxCjT@n6@xO?gP$n<A@`(gI3iy~9-Qbdw
zk|O;~H+T4VL8uxnQGI`Ec^nw+{yq(aefN-q+Q=AqU+ciPWAEn(&eBWmiGe^wButV?
zz<4PbPY%ZqPvsPElU}0uoPdv!$KAn-Qi;uycWFrJ=wumFBxYY~iVQ2@y}XbV9E==|
zv3KuY5OwT5YDAH7?Xt^GaG$cC$IbnlMF5gp_R_ygKBPFZ8rFw9GJBh#i7!^NA9x#_
zl^AUt8iErS#gw7f@IQ9f7#n=O_%Hc_P873GV&1!duEAdqNdELwNo9hX(UQ1$ckpvw
ztp26=p_3NRwRhCnJ-}9?dLMy8Yw$$kI&EY^u<SzqZXEFj_@u=koqcwpnY;iDWe}Gd
z00Z^^=~xXdH@9$ik9{eCpDGlS;2a5*2XB^?NPx$sr{Z+p!AA3AGKdYfjmkc#BJ@Od
zM{wp^0egjbq7Ie<dIpB(2pO=gj|{sUerr+V%L;xr+Vp_AdeT)eKzG1_LNMI-JVDP=
zsEY^-9Cg5JF)S>H0avxRVS+k|U?HDJvMwLcnZQm<0`u0yojkD%W+y&{fd4QZ<Vh^M
z*pmgjvypBRx4p}Aj<68&NOJtyz>@mjjaz-()o}8lCN9aL!P;>N?=QcL4Ce$%RP0T5
z_vAcmH)~)+7D!Eku{+0szJuEFi)efX;XgKqBwRK^JoL9fwl^Gihs}a^7YA%8@t@~R
zPkc`Z7N{h!;g;S}t-ed4PdRK=tOB-{S$FCO#S)Zw8@5pemEDbgg#~*p0iu;K*XYi!
z+zY!>yRnhmt{Y`T%2j_g|0aB@0g}N^a5)FSCzfip`+#tGfQRV`Os7yqU+9is!w$*K
zN=Bb@jH@Ig24#=vVgwureAK+d{q}~z)7}DxT@Z8`tK3}{P;YttS-})%F%1b}$}U3O
z$HR3+zjt=3jTbcgIxN@S)ygY^-ThHIlWj@;NQAU)ZD8kDi*KN7qTP6&rTcGC?hK2V
zGz=t1eY_4r-q>?6Q)6V6*Y>rA7!Iq~?4Z2OEDWlv&r6c(UfglwIhx(u4#I5;q53Mj
zGh6_d%p0bW9wOTjK4UpAVh>wBt^3!#CO*_oQoPHzDn#JnPpUbz<#r#z439ATTT+bu
zioO-=XI^bMwmWY8Ff-)}g!o7Gh*C@KOxLfwM#TTq2UofcCoZ6dLJDO7<bwixqjaw_
zoL7b8M%k_K#p!EgMEz{U-*))?i)R3ae|gft+Ani`@ld7rY&6g#IO}12J^(CH$W5H)
zzkY>7-is29uuVYeT;UjX_H~pp8XMnVU4<j*Y-29JlC8O{uJ6VfF~V>jlh%VSKy1;$
zelSpCn1>uE)OqF`D1@!xpsvwRIG2*0n@a}81E#ldhE@qVut0qRH#8n-8F;7OnlGLF
zn;fV<F&s2v_j*!5WWqvrkBRWZG_h~x4g}h0tgbm8;KKs}(un3b1}7&>CWeRcZEczl
zA3ikPcyR9?WA-`*E<2+ffAEQewH|rqFG6*o?d@BKRYIPNI^;YVMX&^RBy>rs|6I74
zb^xfHH3<L{9y&J)rwDICErAAkQo&rN2STM|GSrCC$#I%Wt-m+S=P&4;3+}hW!|BSP
z)^!^WRcAus7mD01plalQ*8R&5^&;XWtZ<P9OfQRsQE&%X+M-brKOun`9N=zlZjo=?
z-Q0%9#?DMTfH3pZh#TuIxk3m<Z~(cpRmyOv0AhfzS-DGQn#S=g{y>#aJi9B0<X=uc
z-v8kthrC)4$a{Mrq_K37;#1|lyG^(;^r8YdGmet!DoZGlKQUxe{LV%64}m@EjUWLJ
zhRlo2x0y^{U6<5Jl?#Ex0$DJL&!0cX@Sx`LC@EPK`~f!~vd^O90ibyaS8px%q0<A8
zbknIZsI}~z76KRRFj(1;6#>p4fV1)@thpB)*#moaDf@(#r2BtyLS<@Px`YVn_*Xa>
zfewlIOg$}|Yhichfs^>)vpbd`WRCq;GgO$Fkn~&8-qdayEc(4ly)DlqP2J;&9l6bh
zx!@9~idK{7O}4tqR=l`8zO5{f)M971wNcM4^xf9M#YKTe?1tiLRtqqp30t5WBbZ);
zClh3jY=ne7NoV7vRN`LZ3sZI&og_j(Wng1FNR%rINVLW}L+&<lc4vA}_W62~fD7Yb
z0*d1HM`CAZU*&@5q{qEbA|lukUiJCFs2%t5-o1TVe%ZZ#=YFzx+`IQ9o#j4c*E=};
zs0GvH&lV79Y$`IK+xm(#doN8Ln6Ti?v;KlGan(prV(l7U_v}`5JLA~670?L!(k~XN
z4c`<Od+tpml1UDYOv?J`_KnFt_S#bx(exqmo!ciC2-~WSBku-H>0R}uT%EtBGG1g!
z&40112Dfy=s!O%5x3lBhWY<ycL0ipycN1H(5`_cyTLFxDXMQNt0z0LEenb|%VP${R
zA7*^otclj=+oq)GW~u#XQ2dzOapSwBX3C`ZzD-&BT$+40Cv9eF;Xy1-zA($ezd&Ak
zNbqQFeogm*f<dhf8{Px<R?~Ly=+DeiD@N-yM5;V=v7&<%t6XyyL7r!1)mY09bBN|?
zP)K;js~THiUptw|%I6P~XnoQ<ve4jvl17GUvaa(TgAUF65bbfo(@&_KudXp9NSLnX
zrOX$_nv1NoD!U5&Au;ulxwyulIP%n>-&5KB^8p{HY5nJ~*7)Qv&cp-^H!QK+bu|$~
zcSx0KCPP>6>#6EnehjOgn#4X}Q0Y|Z`nal03stv=)A+oQYa6H3_6Da9QQ}u_)~a}V
zL*FAU?i)C85}$H4QzCXdIiT~xn2g@A4oASD=em#?OeE)8Wssz|<<Gg_XsQ9n6y$17
z`h*VvfP>?q%bimrJf1hRNAk1%)3dYv`%e1Gz_~Fxv4aO?WPeT_=Ox}xjc;_cJn->U
zU#Q!Y`Io_rcQl>y&o@p*F3a~D_jJrm7Zqu7ADMetKW**&d9rRoz({o;UFYe|O%eoB
z#eT3}hR35?qu%s0MYHsNCDn<h?zlg-7!#DQS<^ukORcdlzJKk{0fTT%KoB$RuVA=a
z^~={bw5)jL3f`z8YtcBdy06aE;ZV(2ozsDaqgcr=D#oFdQ*&Lke#+*_xW>H%(eKxZ
zTMn$OY5~lhqR8hyX=q9C%?W?p(|Puo+GkDJ3J(R-w;f@Gxi!37-?GQ>EtrZ@Uoxxm
zG&S<0Gm+eLC#`DfLQHqv&7=4#VV>`pIdSpt2$5@^g2jc*^*A}rOjRu!;``ClB+k+Y
z{az(|?lUy(EnGCpEqAQd>8~;NA&l_a44Dd%<_W|EJnVk*p76-!wlT;sJRkb8SnQtt
z+svcF!N%vKi;KnV;7GJ_;gFE9u*SJ-#JdNiNm6x&bbq`P)d)+TW?P@-p>uM~{_VBo
zX-iFzvY#M@W06K99McG=j;2=;?5v-^q<AH#=k{1?5H)=!0sXPuMZerd#bca0WVePc
zQs_2-mvAX&sw~xPF&i%!P}lfpqQ|%_t!m?^s_kh?cdCd&Lr#5(NR>({!nD=2eRpmZ
z5a{BD2&wn=2x&d7z1~f`O=&&5tXF;|MY+0`+pqPEPie^O(8TP^dCR5aa*X%yXFq$$
z@!+l)<Gp*?&q_Fm57<iAvT>EAvHu+GwIneo+}4Vhl~Z}*ax=M~Zif7EvL)w;koQf4
z5iF-4HzT&^o|{1bH)@vzt>Kydfyrj%XOoDWbm+_F2%t0f@#be(ipp6lor_?3<=r!4
z7<D!yjeaUw^F>wgQ`qyY!`_?zWb^`p{eC0gzxK-P&okvc+spCZjkRA|(TUTYO4i_{
zhsNgSC9L}3CUIV>^_BSQ<BsujHe~0gQzTcbFHm#*{?N5v|3G}5RN<x4LbSEp*o&3=
zvqpdJ823E8UN${+_!zBAc0rbo^>gSXagOZ;bJZ_L4hd*He@XrL?Nt5gnM0u((jiLP
zY(WpJ8t9zd4!WlQemS{*T}MwwR>e*D@#R?w(z)<=7?Fw}uC3N;)5s4Ov`)X@ljYrK
zS?R#wm$bPZ1a1d9j<T(ek#0S?+%r-4j2M5JhsXU>*pVc59`~nyHqSF%AKuN?SzUXF
z`RJ}vcw9zf9e@8U`-9@o(!+v`s%z$poXXE6E=pY(U9YvLiaR}EW3pxFe27WMyX%8|
zNY{-kLk5Q5iL&t~vK(wt+JnA@0s<PD`sQ2P#kWH@UW|O_p(D)P$5YwEBA6OU@VNL0
zjgxX@@cHc_7yHqGvwZI7dMHGvU#LM31_mU3DiXx+<$OI<ah*EhL;5jybD{qI2fPFD
zIznX)8U0juD$e$L<+HJj&y+b<vGv4u|K4cL&kFx}^KWpXdKmq<V1|W%JbH!kz4k!O
zQ2~K`5iZvw0;++lo5oh34aH5b<eoP%jSk(M%67R|H*n7Du!5X%o#F=8pR(U&c9Exl
zz$~9gOS;0}rZ~5R<5R6{XoPgarl{Q3?2pJO2Kl<P<$2ta?OzBv%)F+e{BC^LSStxx
zAG$dGF6_OUgZim)>BfwFCGFdNPV04KxK)Sb?V)&ghKxy~tsnEF`Rkpv_3pTwqHV?s
z!$&mtynDS|s#hZHZXF?0u4Tn$_XGsqnn}|+m{DGEoWm6wOK^qb$P!<|Xic)G)*BE0
zsqFqvoZ|T#SxL!e%H#qSxN&ZWVgE6)dv`CCXS2+lV(QoMCtJC6bZNw3f{b(z{<ne3
zc_KRsCz8g#GK#>DL8tmc*0*|j$9S%MDeQRgOJ?fZODhv0*PBiHBu}!do%R*?PFMMv
zJ6f00=~kR+6x1htaAYgM#)+F&&+_A+8~W=~ZHvVI{^Hmm!!`k3lI6J&>X6Y}7th5%
zGjV(-ar4b7_XCI7z6-L46S>3<q>S0g_&Jt5{gYSyRQreTR7G+-9W`}XRC&CEbI5Vg
z{oV8|MYh;w|B9vSLtJ>^2%5%rfwznMYK#Yk9PiAAoYUl(5w&~3bI-VJde|mu%Km{?
zINR!VqB{!*hr2m^1n0Z&@hqJf&OekfM?O4ou2!x|F;vCh-<_3(x7ba`fYhh*&F~Mw
zswpXOceix$Dy-QG3K>;0mn0-p#%;U|G|Ug27-nPa@5oZ=<{;h<*3%og6_j;>(X0YH
z9YRU$a*UN@A6W-!`$snwKW}%^slB|4nT8ToMvw9gb#D;Q3`L66^jv=J$#cnZU~ltY
zBAapM3k{PScihc`G2Mf{N`>scW}J7DE%8Z1T*uNXX}3>lv<K{GIn8vJE$CZn&?WPi
zv(Nr4Q}_^Z>RDt3n8=Z8h!cNakIs{7V8nkszGXId+hEHuqA2vIDo+MYK<IhJz2==g
z<0rINBKhzu_&>os#Z=y=1a@OhI&)jItER%n^kxq-B___>4PWpm^%^gFVE@KxsM}bg
zU%*lN<eqzlLN3A;lq=+t{k8=CeS@Ul-nLPEvGI+Uj-6y}c`9R9oRh$IlP6KcS4u_Y
zsTse-FQe6{H~TXeUy3=>JzKfBRjh;er_TSp=TLj6^4T@^7|KDyf2@OZwUt7+#p#DS
zbFm4@zJ9OnCcoXX%Oh%*yV=HW%E*|Y(uY6jZDs>!F{UDQV$W-@zL2UUr`VHYEJK`u
zYviu`;Eacpy>0I+-f(t)J{_=L?v^{h;L;K*uoA9?RUAsjB+ZEj@mhI@QXcBboa}5j
zxA?<6WJdbz;hY>f*B@$Pop(;eO%7iVtxogValFd-@tcVJO^zp9c!AS&TTFJ9_~rmr
zSaO-Phe2Z1!BPe%p*g2QJyTz%HZgeTf_lK~8`q^pqOn23ZJMAqsV|@DRj51;(l%;-
z`+7LU=SrjKH#?^&a#x}|+AS{iVb<@{aT*vqhww2dC_Ofm>GBC<wv2zVbW>S{d&ZtE
z*03~p;fj4o9HT9hT>It>k()#gqFF<_Q7ZZTLWqGTexMn4%b~b*Yv$|p$cF)Dmz9c&
z*@=*SWu&T=4m$_XPTcSHq5cNF-&f+va5d2_U7xJoK%B^cP|s3~IzTXBILR{b@?F8B
zq!-Bo6WV)p*@3;QsTr|Ms1N#A_J~Lq8!<3Tc*fNmy?^rUGxp7CUA{|myyfu?qoaY3
z{W}BV-z<54bDEfWdU}|n?na#~k($lhtM*R&&nXS=d8j{M>jd7Sqd5&vTJUE-rJT&F
zdZgFIF~c@@>c+>h9XtE~?Hde@nJ~y(ZbJbY5_dRb2d}d$?Oul($#HNpX6PM4?|*`l
z#eiKc4;k{C!Rs~9>o_3Kg|{5F+zV5IY|h5(e|NLb4%Kp_GhpZlF#H$Uidn#Fqm!l}
z(0#7lW#=$Ay!v1aa#M74)zFX;-aEiH^$cXLTWqOaM~FE8yNx}5y|c3us_PAKdaSt^
z9VQ3+wMmVyEYUGMycY(Y+NoaunU7(mrc}<(&ghjCa7f7e7X$NMa48jo5$@&Pkc?8(
zqv#ETpdvnRudl~}ps9KC<dbDdu&&>Vh!7WyxP2QP(8sXdR~msy=3%+zj$wlXF6knv
z`}^=xm%SvmB@9wC-8s_6$(Qkwfk`)wi2l8vv<m*2JipUmWG`KU(slDzXz_!e{eQbM
z3}$9$Ez1ZYS>}y^@)8#RbI|$d<tT8%o8E>NX6v7T7gxX=wa@`LFgRWMb#4hfdLVMZ
z2_)hwj?tHsV`Y;UNq=puPOp8zZ7BKQQ1Z&~ZxtpZfCIV1laoD~uU;rXdj78^CPHrR
zbbHG&NcA238hieF-BA}Pu}@x}245u@n+zvLM)cEFMJd2znGirp`D^W;exR-<W+*L&
zGk0UYZ>lXl(8!GV$d1GE-}Kh58mOW)<SJqC4xBRu+$=0)aON&s4kTxIi&eq%)6i$$
z^HxmYKKXz2P9qGnxc=h+da($~`q5zqIJ!9uCjwTXHjcyKWsT@~KYBq5oKJ)^;TM*F
zeT5oeBZx`wJQHE*s_|cz#EHnsv7Ie6tA`bRCp9(d&K+8)@!e*2g%V*y{YW?d61?#Y
zy&M9)o4{u*N}85~BNAQ_gWjfeAr&kfNQwX#&N1*+a`_D7;O66*dJ^mNN$@5h^u~?+
zl$S4=mwh*veShKoxN8-;<*kNVoj<fv&#g|qweLpWY%phAGr^1PV8!Q-{MUDoI@Y1r
z#3=l3<AY8FtMSs!dS8V%O@Ltloil)QS$uHZ;_~|xQQgbzCQw=g5sVn#&x0()NJ4|d
z7g0Z<7HS0=4tld4m`$Mc@Le$C=J{+mdyI}kj%GcEwYv(heQ4f#dA(oq+%v1d^6I$2
zqX9HKCQ=adGyoWywqE-F!l0CVKw-X#0X+-eUC;?o@qd+e=6_XIc^rQbB7{MZGIu~r
zQPBZ2MTuQPC-)W5Bt&dcbR;BvdA%%GaKQzAk<dtVA;%XbDVT{$vWOyRHJFKl%Kl1F
z7C~8z?aup4^$*PWn<Do<_nh;b^L@^Ff8G}Zg3rT${ut2(Ds-y1X@bRIwgnCIvm!c4
za0mkXr_Kj9ScIKkUG3+8)2inJHtIp12&+w)bWL+V35<ZY+CsUJ$r~GadwV1ANM&p7
zsOo+z8TLbr{hItJ{W5H%(9*)P5{KI#DhiBV0@H=Ot>`4)V^clOrTgoVstWrxSwW&i
zsiyN~Uq}Lx$Q-JX8z}xi6s=2UW3lF3iOXD+ga>bK=~LZ8UPS(Ie;fo<Y){bdWf=rp
z(R^58j*=E?!+uhW?KC<qEzPGWLD#}jc`*i(kov`ncozpgHYz4dW{y4VMOJfwAZn&e
zK;vCF$^yo&?Jswj6cuEwtj94^8<M=(hMb2H_L*Ft1g+MNv)LL97SrdNEwXiR@K&s0
zwbz;(^qqB_GiNYUv_+#N*%fP=<@5BUiFJ=3Pu_*><<roISkOGSZOhE$Qp9Rlu)r?o
z4I@pnt_lBx?RIFc`|7OlCP86{VVK>ySXJ5IlGA>Bfd{GBmy#EM_}sOJSiK2qrO%d?
zpNMmrauBbBxj|1)d6mgw<^Dws3!(%Q|J#az0MER4-;Euq`d}2NMv9>8N<JYVR7D?b
z?-fE2g<Q~+7q(NTNFr8pi%bGr506&pr9HgS=&`o`R<1oHMDj~Y%p}c8U|cdK`JHin
zY1(iPLXDQHrs*<}CGsCT%=TJeXM5O^^wIz#gQBs6nhNUwuqthd75j`eG@+p~#x;D5
zs;i}t_f*R6mGt}h{+#UA(87i5NA4(kRiEV`SbO@`<Lz+LhR7+y+YZ}-Wgoc_*xK4^
ze`>RBk&fPm-5fMw!UQlFi6Bd)_}?c_mbV9w4l2vk<5;>7p8izRxel$GUFX%O*Tk^R
z3+Z4&kIsb;kUi@p*G`d0z&Xt&s#Ce6&UB39b|ch7<I$Fp-1*2mqAM$?Tw*bzeTZz<
zRhAr|X~LvP+aWj;n!i%rwT@1(j8v;1RS<amZY1KUt2g3p4n1-&&zARuTc!1@)LmmG
z41_o^>4&w4YT*M!s3apH>5_VbdW4sgBILXT*ieMF0e%(mp$|IGaAs8jg6r+6qV1qT
z^kI{(VNjSJT<bZb>rAkkIPi#BK_fuNf2ug<CBGSfmdYnD+}Sa#<sb)NKYc!(Iy3y!
zu5)?bPA>)3v16>H+#KeQT(8z;tvzw)0iOcl3qig<VdjTHgVh^ddf`}I;*CI|-jT1u
z#tGNiTkonn`+J>Xd)l0kkPs0_&31Gwz<DE^-*|Rw8XAn~!X%xgEKGlr5fzUj`T<!R
z?tBx!%oljDa7A_Jv#_TyelL)Th)QVR#;pEx5zXiC*>Ao(72Qt?E2$U*+n)Vs_c~l;
zWM6O7=t24^hfD}V|Eb}7^N`nWVhl{v1qYoskI-2A<8lzurucJMRz@|OnVQDL$H)KD
z#!@i~%5GM0?*;O`=#b7IsIvr=3)l69F>v<B(Zq5yJ<RHO>b@~1CI;!+REnxC{q@Ly
zyS#l{9y55o=o-DU{wiltVthqPc7)5Wi#{JTy7q9`%Xag;;m9}1^W}$!cbXPF^iI8%
zV>@Y*IrQ8_&Px_5){=rRfVqt(hijs-HsWyD+{wu)ntc8;M6}WN0oRPi+1oGW5N6N6
zRN+rChE4&c9ye!>Z}H8W7FLCYg#pR+U#b?PH#{cVv%!1KtX`u5;24Z%bY`!|Be|d~
zM|I)I(WB$Y6?hOSOyC}jhTntLWjal|>8)p?*%DzUCD_3078jc{PHk{v8vFVAd2HQ!
z#@Z-L-9*GkL-x3p!x&@MuAvliHt;`2^vkfuvS(G!7=L49jZ=|z6i_$$ZPZTFH4!+T
zB$?;3?9g<%gkGdJ8k8mWSP9P_KCNpSZLFVSigO~75x9Zew8px@?ts==l?5I<jfr)A
zYxNaLBmVs0vElNHV14t|XWpB9_Y%z^Se*%Ev<9Zqe$$;v<7{nz+?Bl5S|-C=*`b@=
zC&mvZ9sdfNjH!EE-7_od&ivf0cPk<9Whzk(N(l_s(fFZ__^Zdxo!J+w65`gG8`R|K
z`Z9!~bN_py3HP<R3m&@@eObL>OZZ{p`{6^Cm8ykVz31+I^wz+9{r#rWcS)LhFwsXl
zRP9>9SfV|;OL9}^8>HTTRxZ^`;Pcr73Ag{lTmI8TGCCIfJue6M5%;X7#H+veGSE9D
zg6UoDo=q94J*&LY*J(V*NB!ZedD4EI$Az|;d$jt{u%xWBPf)#It*97FiaWp;x(KnI
zJ*tHh*?X3TQE_>-Y^+P4oN39VN160-?+`t42mPUz$#g7r-QHlHtLs<2(iOXJswuJT
zieFgSmjNrHZaT0LZFCg(p=d|MC%p?hoj5lMxo<vvW=%Av0<7SLQ=d*lSXfsFf$x{r
zP5;d0nioE_9WO`8p4;aUq1uarMuY(0NeT>cAh7T3ZPk&>e&^lv6rdq@mKodvyvlA2
zMC8#g_&x2b()AC|+1a7-NJWV=-0RS&RU0bE*~kkZqku==fuIRaE973Yn#Gr;!;RGL
zG4+ib0<^_&KDZ<`m!l}<)R%*>e~HGomBD%yleuUph@sv7_1EdN7WTid@bs+mT7>sw
zp7=kojL2F@a{r*$`bG~HJEk2lYJAOZOb}R&muAe`SKLXxxGec^V`iIk)@Px8djGr$
zEV>(KsD;mPcnioJpiISP#4H$$G%l$8yO*c~u8PRA_e*hWh-McbTn+d-Cu1Je2kEDg
zamys}-VdLe%7hEQ*M=&`+R?H5%>A`Iw9)P{d;ov$qg9<<2rkK)YH-LQ<)vpuICFQ$
zRA!$d45UzDg4Fs042sENsFhV5T}$W~+0eRg^DxjZ{M=s8E~nk1zxVkP@t^ykNN35b
z$PVvOlmo-<t^?FZOTr;-iS{}qow>RBz-KocOr#|fNaG6bl}Wa?uMmx^ZfKBWWMf2R
z!!h*PKzvaX3|3?=^nP%i_1Zx3aCeU)-z1W6y~u5S-JxiBMHHjK&)f)AZ3I=EadrtN
zl-FGPUu=+{vYNoD4+GaI?4yVFDsJL`@m5i_yvhU~LlEO`xAUc(ywZ*Z<_3C^1M;1c
z70Z`nIp+4BoS??o!Z0$|npryeh}CDyofg942EyU>%wUz3<d@e*yUVQ_dvYQOE=ylz
zKZqFO8Q3#>(0tF(HyI?<PBk2+iwjTOTXcfdcePIWjA?;@(2ow19E$-8TO;&aQvS>1
zQDpzhE$di+R=wT5I$0Rtswyk&Z~?x6E!^`_{8Q<r9MRd~49f>v$J|-(m=m@ReaWJS
zot>SA3a9#|Uw?}zgt|o8#yIM2d|xM4_7|dCq0g6Mr>yTve(Ph4+qZAu%2lf_qj_OS
z&C|!`;R_Kp{#1NQiuLzF<rWOo0yG`h?CbIO6H0Glhd}-<#eKJ;Q10xDjb$udqocPq
z+!_~Dd3j`HxZj#}JmEMrOuut7hy050nPQ#VoqK_W_u{mp^EZi6LuvQ+ElF}PgG#Ke
zLordr^BLP1PkM9l4vI?uQHeHA?h3RiMHGIcYLDzIjz#&kEZLMhh`W|k@>y&8Phx<R
zBLC>|<5T{l>tW$Jl9;%c$A=U|shq~o&9PG+vs9fQ?!PjPO^u7&Y6hVJwod5dmqf8n
z!#;WF$F0;x#;1;1#K8rqXH6pl5X{GSzKQ54rKI_Sa>3o*eU;^qAss!xo?bacD4}7t
ztNl^dy?}caoIbuiY2UZIPh5K2&GYVt>ij6Q`=fZ~xi-{I!FBH{=i8@O+ZyIme6lvx
zpfA4?QsTT<9A7+Qb?nTeD+9PqMTim*5U`X?2eV-v^-#ug2ObzDG(^2EN|DbJ6YIEs
z@xv2dSe?-+&MN-%29brK8iiFq)%-rVn6Zh8um}V!n8;3ENr;dngV<zQwT#8y1r8=s
zb1tG5$?!KJZ(FI`hl-o^#5_WKv;C=F1q{BYdEgnS8W`TQi1si+=+hjvPP5#s6cc0P
zYrh33echk%_)s8tiTHecGOG{2zUjhfdw&JMI9eOtJ(wLI(b6tou_FDn?a}$IAa#;%
z62A*+CLVToBZaJ7r4q@ISQ#%=?ljTjJUcHk_uW)ELs+Um0^}!+<dadCzK9*DtgRKX
zOm8WKX)hvHYh}2Ib*W=h5$hbW5l_|%VNCcAhV`h%IxOFLWBh~heBX$Dm<_4A%0(3N
z@FbzRre8#@Z@$i46cTu(cyVhUp}|>!%--@q!T4!hna4|n=584?w0y{6((C2>_*R49
zkt2DaXGN%Nn~9Ncp0DpnB?WVj)69i|Hh&pPbm;@}kN@qvNuKL^il5o&<ym~F@aG@z
LEcQI(;jj5G+}5#^

literal 24944
zcmdSBbzGL))-`-nCJKm!5()|`DUFm}AlQJklysM*2`Yk!2uPY32nbS=3WCy#(nyyy
zNY^_S>~qc&`@HY-)gRyf{m?D<bziZrwdNdij4{`(lS)Tct=P1JLZPfWcJ$zB3WeH}
zLZNC}wgkTs`&QqEzohIAsoI^fG_-TnwK1Ta(6zHNv$QiazPQD~z{b|t(n3T)N?<qN
zmP>YaR<?Tt1<n6?fPkfqkzfT&|5lu2xz$lMTMC6im;6w@l#e#1P;?rO9o%=;DXg!-
zS>x>JT)|LP{J@<je7CQ<Ji48B@1gqrOO<7X$4gEdzbh$JFu3r_`R$#Wj<*>Xk}o|s
zt}OXrpmirty(7y|?NxJW%bG1OJ&Px2ckh<EvSLN)n7bVNh)#z~scTv1$}btRoi3%j
zS#IiX;lzIyxw*gSyz$?c&(A44@QW71wUk2#4<4-dp^hTI4?RU$%f!TFEwaLM;rPQ;
zC-G@s$qveGe45Haw-=u>Nj&}k{g?Be-({7$pPDM^610`G<s?QSPe76TOdvZ83(J_m
zXiP_0WZ9qYiayPo-ba&y>2rm8HLrW8MvganG<J-p4`daoXuExO8OSuMa3B4t!py?r
z{Hty!KmTVl@z$OmmtSsSB}r9UMakxM)tN4iZ~q8#p5C0%tLf>T8eM0RUeYo8`{$d<
z-*4h}y`TR%)LO87*|L|z4jGx5WpCtM_SpYkYnaHw!NK7Y#K|de+{^P&o-V#{M?o<2
z!K%&T<xh_=P*YPowcO&NO#G=(W)ae%?B2b5VruI9d*d@N6hro_sfC>22rQuz4J}cO
zlnWO(uWjn=Jfg3^ZM@!=A$xw#<;JG0nPG*?W4*_$tc131-D=lgA2K=8sopc)a!0T_
z(a3M~-e`ASVM$4Qsr0}$Vc|9M^76GQmSy#6w&qifnJyCC0k<}2IbG?lh_1jjUESQ&
z(jEA(T)84MGnl*1q&C|_J|ZIG+4JY&Whv(l9(2LzzGIWJxjr{LEu#O0(IUN1yr;QI
z%C>`X?b?GTCcF0S+vhq`BB2;2>3{Vqb%e*<Wa5}}ne4cbQ7P-`)2E%f9(#Q$E^fn+
z>Q%fr5u=gz{X>;iX_!>KbphLZ<BFRYLgw}B^Ix0@RsCSMGv(K1US+w-ZIhFey^YzC
zLE7#to>5U-C`w_H`{J}RtJ7?Go*wbzmXnJ(bZ7l;o3^9F!^691(;a^~dj;?)3!D7d
zfd?}F@sdfR-il`B27$KcL0X?GDk?toFXeFc)ZIwGSv)2`s|<^Wo{4GcU=9t#MvvKm
zABjfFG(v_YkIw1NwifuQTuSeZaPjf<q_nnu4X8|J;yS$X?q-SPthuo|%T+nS5|$Aq
zE<pmCCKVAuK}NJomu|jw>sJ0PW*)OjvCxvrPMRh3@!i?=n1icwoaSf8-<ogVzWs1j
ztma)j%G0Q*93lE#jEN|PYumQGFC`^O-L2X4vvE`#wcRJ5pKwWc=<|t?bva-C!u#mC
zZpL_TNl|TWZH(ov_tVqU>X97M4nDbF3>BE2z8vzUW%Bc``E%>}FC4sdX$PjZm=^;_
zvfLhr-lHc^G8P31E^T@fm(^1JPS0nv#A-~2P&q~J3aK8g1pVcwPMxA>+w-Hgqpz>z
z0E6s7UEQs`=VRj4Jj$c?{dl8N_JV)s&RfC38#_uujm+zk%{Qy3Sjcv29AolN{I*qx
z$@<c&O`<RV=zDW`%=kw~T)u6YHF*=0Ak+Y_&#2e3z?ZG9v-3>0`|R<c&W;Z1c+)BY
zia_R{?<22W$|7V%Eq}2xFx1T(Y1@3=UfCXf$ImaW+{?>rY3|KcdL6|fl>yqguvcUx
zheV_6i1W|woYV+yElo;|6)FOPf_@mIHEY&<YMh^Qd?apu8^>*yuxJ}9;3zN?k9;Se
zSfe;QHEKTgI=ny5rCH!%Vg7O<*9j}kQ0Mi6TE*p$4}{2j$W>{%@IQY1cthHLChP6w
z^mf9+!jd*^%jW0Cv%9}N^-7Wz5g7>^Ft2^TQ`=)!Ohv=`Gs^*$$;&!YZM89Ki6XI%
zFLFO(b{O_lz6~xh49)ax_lm}ixRze{n6NbAfY<8cPzk@At2QS%4rpn)jsDz~sdBJQ
zQFQ6agJDXOEbsD-tKJFj+}W%>KUF2w=u*U=a`OE7{0BSF?BbI~G;wxzru^xv3u<c8
z`TqU8r1S8zlFQMS5<)`p-w%{lY1po+sj1=9NG*Rck5?av`Gv^fTza9X!F{@qPd(WO
z%lu4=h33@wfOh-%ZSS*($%5{->#4juIB0d)XX8h__v>HvTQbLgB`!BK`i_;*pVrBa
zYgK1Bi?~gXeXgquWs`P@zx0iBZnDh7rs9MI6GpvAFuPdOvEfi>X?WUbrTTIP2BV^f
z{H*fs^_OL{ec7ZFteW?qK69qKK1~D>Lc_7a-e;58?J8}LaDT2N3A(vUT3T8rx}N%}
zrrB(-h*sv2luRvb&BU2lq#gJoU5A&CH#kO~(W<|2kku!=Z2x+u-Sn-+L060sL!S4<
zA&R8V3>U5P@bKW`=FZ<J?GQ7XuoII#C3d{3DCdDo>s<*S+{LE3xw*quR`K7G&DHgK
ztKa2+ytdT5a=JIM%*UeP0}J`|=uz))&lNVbUSp7p7ZBv*6Sc@3J<r9*S4=TW4h#s;
zd-m+vM&!+#etv%BEUn>=zut9c&j<@)-OZ?F%i|r~rP|o&F+ZzT#mw|-MZ-$fgBrDc
zDUGGC&%Hssiq2F>+d`s|{LJ9B3cmvfS+8{<BP$dY79vf5`emSTFD8aBYocYPMfR-2
zLfY7Gi+8l$yx~LO=Q|rl5E}dn*j<W$wTA^27b~8R)%Y4}nRP2AMFJ_oFH>O+(}u^$
z=>pwY2oiBwQ@ak_q}QF97#b7k%!pBaclE)8wVT9D@(}-T-M*dRc#N}!Gwe6xpbv|P
z_nkYrWo3SOc?T<FHPxSw^Q*>F0>0*rR%u&SSZrLv%%ikz&z?;f<NNpTBYqs=KP$kw
zp{_z%z69^k2`^~*iWLctQk@2EU;H=T{D}3K+WjK5SJT%!l`(p`XM2!Zu&D7Gtc7Qo
zN85OK)Gh1mxYHd6I=&s@c<wUZzwY6QQ1QDeTFy7r5)I!OmTaP?p*g0c6l+x?NT7;J
zi>MJ54>$MsG+QGrmp-u^8|mokYE^dE!F~C6H>-5J6c!eCeS5mpvEF)Vqx&>JmI|L%
z#>V*G**mvxHTxf7Z^m`#_{JIT`uON0<IuARw>|Mu04Qp^XnR}M6G7RmI{wPDXWL9e
z5p|9oI~H>x>9^0o^mOCA5<*AXNU1b0Ur}-KHfia)7iHz;C)Y4Dm(@lSu$5?gJ7Di>
z4mm|NH5Pw=fAK#2Q8{fg_tUY_tw7x}^D`nBuVzGexOrb|oZCae={GGc7jNIW^ER%;
zP~?ao`*Tb`qYRFhIF;o3Tp>w^-i^Qk;^V&^c$AnZZ+bA?^;p5h5whur<K_b&KFmiZ
zGL4bPu)K@JXnu>=J>U|gy8#DtadHm+`Gestcp=Nf6aBr2v$r<sPD8q*ZG(N4T3xZB
z2t`Xv3#&!2a=g8*jggJbyuxVz{{7GGeK_PJe*8Gw(=#*UN~TDb+w`*K%cTZ}ZV{Au
z=H$t}W@ctd{a^b`!Z;~Y6BFf_1K%qu-Uiw14lQ{W9W8SCPuGf`6qBE~Iou~czUX@u
z9YONU%t++?HgWOwmX?-Jo;*3KtemnW3t6EuMlIKEyg|j7Eh{Svi0AwzhULo_Fsrq2
zzl>YaPU<atfhV{Q`$V0IR<i5<euKoWvu6(;KfZ#3d>6g%+7iH$=FZLnBz2RKx%hY?
zO6b^bz5Kyqk+Sj(XWN$6)(|0GY7FGM*bNI1`FI#NWi`7@Frx5o>z0EFiHXOK9@Xjo
z{=70ka;(2Wz3*0-UV-oPmoL3fJw5Cn6jTtXqV@IrbA_RikvDg@k{2yW8=bZ~ifh-7
z9a}_2A7G%^sMiBzubG;0cp?j+Z8L<K|LRQi4qo0w$DN!%JG#4X1qB7Emkmj8Ac*_j
zsne(TpFh98z>gyZpLg<a+2YyNb;;G$wO8}@fzt%C^CD9j8gc`5<>loywYEOZ+|hED
zJ~!&wv+KBT|B#SlBON6TV;9Se7O?wy%-c$rw@YbhtJ7KiM_L93{16LV#(Ez=dv=h=
z@%(;&)q@9jm9sNjJ4~_3NxL~>!vCX4xK{M#OOC!Up44dI^e!=*wl5|P2b;U2BjsAn
zRoYullG_Qg?keBfpFSXmDRDh6P7ojglPl4t{kThz!@dvpJ%{l)NSR`logw?H`y0}C
zhbWr;%1Fyk9#!#^o7&Oc-JMjK9TuuYjma9c`%?Lq<HwH&OFIgjcqF=&hsW#BA3I-G
zsfz>O1-$+I7;yG6fv5SjbaYH>*Xj=l*FPE~^@_rmqN3J1%k1{F&WNXu1HVKq>VpL|
zKM1+cIL!^r&&7S0RmXA<R^&#ujxm>?o8Tge9B>$Di~u8tzFGrK0@si)HUkpg^7S?R
z)Adb!7HdKi(8llHJ;vA%zjq~@)m+rfGALSqdA$F`Ux2!|+JCgCiYDHuj6F8Jf6u4f
z+~xH2&k(Bk)DmdpWob1|p7hMlmM37XWI}$jjrr=eYj3M8>r*T_QtEA1>gwwLcy-3>
z3eD04#5fZVZAAK1gpyl+eg%z<kq`ORhs!+XMtpj*hw?Y$jq8Yqn%6E}&H9DSv7YK|
z{j{q4vdJ48w6^To^9X}I42XL2!UYpe9$wx%R5VMP1_qQ}U1df(%XkC?e6d1QToe~4
z;_92aR!@G&InoY|kHrkzFDn|~#jlkSj6}_<t=(v1IgoRO219U7EA#SDi9{nKl6YYt
zuM{u_MZ~Cdo0wQ2rt$Y|50BxI5%bl8fLtY&R_ixyD(s2NR*IB!n?PQ`5vzgDo)T0O
zCdI6*tSoN%%Lmhs!XPt9!Ni;y@R;Wk61o@ZKK1H*raoSXhD%>kain}C>Ie0@&XUjq
zoJM)?Udr?5&oQkkl1x>yX2;YsGBTVxLX5hq;y8dY-&TJ1N1Q~#r2p;7p&xJ6g9fta
zBd|o7*w{+=Q|eFa&LRbd0Mg%UFA4&D;Gp=j%NAnczP*wx3>d(J!NVtsww+2#7}yo}
z@25swmLO52bFevAUthneukQqcO<G#oId-pVvJCwb_nf+LxaZb<Qc<$Ul#4Kx+_~wO
zs4gy&S_N^d_>tJ1B7t;*%!N@0)#ApV%NZ62?*r;yxt=e6Ng^P)YLNU$v53s@7cNpw
zRVJ5)OVbQCI5xg>=(}KJYx}l&1aDSnsO7WkpKnJ9Aj)(ZAFkH(`}X=AFXfShrA437
zz^_dDO`_f?KdH-~9SabtlrpOpBG3R>UkT$zM@Q#6^m&8p@K+uRfFEOGO)<v8cvbm8
z#>i^SJv>}_ilsKieWKZG#nuWT`p~LhzkVr3$ka^jLD_Wf&H15bFOKt@D7m@0-HqAu
zm`N#1a<Fg_?3Q5_xaIG@;pH__YZ}+w-F@uM`L`QUqhd{yF_@VdDRZ42t%^}k@l^`n
zLp9hDYFX<#|Ln5eGQ=E>{HT4`B%KDgM7oW!Ab)akaa|)LhFbA#_iU(y<qNEb%0b5u
z_4OJE%9mD&c_d-wtysD8m3m67y`?_tm5`8-$^&0sy?RxTb-Hc)_TBcs&xRf-VvzmA
zSSB+<5A;nJz<uH(u(nam$RpF(k3gqoa?|vle)4m{Skpi%F-g7kX#v2?rfl}Ve>5X+
zir1OdBy7hGBs-r?4zkGiVX?y+zdZUIAt!IMWyZ%}nJ#6jjq$p<6BDg|I|T%m@VW4K
z(X-f8nvNtHS1iFa@99C%?qScuqNfuS6ckAB748{E!N|nU?w&u_*83iC{$OcgV_iVx
zT!dMQxk?bq5mJniA7*aFCPb2p-=7_Go$gEV>|>9u=nTHnzIu&OOgmo@1tWm?lpLb0
zD!|7_A7AX24jep*a()6yI|L94^Q-CRW(#r>PARDn!K{g^21O73feP*jW_<y2RedZE
z&cWhCH#Z?a?rl8~jMC=XQilAZqM{25sKY`eEVXWoSCX1861QE$Cphr5{wm!{C(J`<
zOsDSJB;Jo7Kg!I{jG(CL@M*l$6Pvy|S7-uv(FF`o@ReZp%rHyU(p}dr0=}NrWq<sG
zl_WSRUi_;)H{SQ9eNQFuSM?^>goK2y^2aoLZzzPnH?8tbv+X>6;lhQj_Yj+zH*7d^
z`SRuGUc!PHLgeG2;bBezfqtLS_m{q1#R?is$)3IY_<+|i*bA%NRT31&&6|r*oGkoI
z47G;Hx;Q+iV&rqFiOrfaai1AFk~P_}Il{SvCG^620ga=WcgulcI>)=rfRvA=STv;0
z&rQEIj~+M_<3mcxUrt;|r+TPc-ka5YHyqHkPco~y55)1#xPlv1^RgT)+R54R#<Fx}
z$LIq&AllX-Uwt~KqWO7xAiJ#ct@_vEViK1W0bUX1k$}tEgS1N#^lP%*q)|XO0SF~@
z>mk^#UAtBY!J;xwyA0Kc(?I6<1P-MXv1e@1cJ(L7my}l4t%p$<o}*y$cHupsNRmY@
zr8nN+;0pFYX0k0HMmswKa9rr}pG!!1V0jpLRburUKG<uZbfy5x-z4R#zM)|P&h=1G
z+d}hv2)pcM#&zpHV^$;2^6cLI?E}!RF0g=*RnuM)bA?4jzJB@A^w^92;{4p~&#5fL
z@-Sq+5fl<ZsC5IEGjqoSr`l#&;)^8cWXz7$5eDT#-3$W51^)*R@?M^LstW!nRNVaH
zkC&$=rl(aVw{3m5z)%Wo-Lb<P#f6spqydoPN1(RC>&ux_r~A{L`;w|CMcXwHL=Itg
zvWOV^lxT@~l6;5MbW&CIDENWy>UUg;MrFzUt5|nmq(zkPM2)-wg?KZ9lL5ZwX`tMF
zf4c&y0e0@(NhZ+N12;+9=H%iU`tt`>2^T$wTo`7R70T*zq_&>r>kSMHWWf87f&0@_
z<wvGmoX2dBPpepnBFK;j{OZYPm#I=wQIS;k6gj8fsr4>7y56}nJWR$pq1J_V02Q)D
z#?WDsTP|MYJmSmxu4c0nw~D6yIudfgS~XXyTfVIn=N$o%TEoI}%#U3*wfW{|^6bl3
zug)(k8@M{{aD=-xE_(WC;JUSI88>Y@?(RNEH*j$SlQk`ma>O<fk${N_C%5?92kJn{
zy?ghL1m3`iVB6$I12=cm)r9kvyfQ4C2x4YCu)#aMf;CuNxKOX=qcaP@lF3Wu!i7R+
zWtoqb*|R8vg)m|Ceq}fZY9$;gJ+VL!vufGc2!H)Lmd5JO`~BFK|Et9DmqQnYLsT=I
z-f1Q`yipNEWYr5Yztg&a>Vt$p&&6iXO|9qyF$<`MWGZm^1gGzDa^+_a10Ou7PN!ws
zOz7&C^|x=|M(xr3)K4zKSUbaMHwZ~q@LVWk^l*iE9V*;ADOL%Qx{mjJb%qi6s6PXZ
zk)S;Ay3;T-rCcZC?VZ6AZj`+&s+aGx73Fou>h)@BYB-JqW$YtS<I|5L3OGE-lwf3J
z+>2BajDi7Bq_SOEepVEbBV+uROWx<tOu#(|qo~V*OH@IqDIqs~`}QpZ@lb47c5M}@
zxH*lCHl94KAL*t0qgn{1D~quHG9+Q&6VuWI8M!AU8V-VaNa}l6z}|{tR2N9puCF!_
zan+aWh%e<Hstv@HLtd-dRI}Y>6@mn|101Vcq<wzTh=_?=CKvE5M9lPIlG~^2%LyjH
z)D!|3xJl3QX{@jAZPB%B*Fr>$R?E-+VV<Aqlt*Y3M~qH5(Fg|dA^{n5lbz&;umC`A
zwLh{ieqJFr`{xWW=;6bMm!LAw7_@wnN>4b8gQc;5Bxktt<?7s9woK5TcOC`75r)wX
zO-@J<?ioq%|8NJvz&|kXke!_<fD_R0^|<W0+74MTvW8#`DS(6l&lQ4(G52>n^s17Y
zeUDvNj{MvZL(deZpg3mn%v4VtRw}h83S<$i<rQMT05nOqrznO9-vEDcn-E!8k=hiQ
z(I00j?OR(~NS0E=96+s>lpI=O2y#$w)!URtcWD3<8PGXv*RLm69h#dSAZRdW&Ed`B
zW~%K2PgCVcj<RL}&LZCuH#e<}X-=-QpozkO6Z#oLEo@OQ`O9P8ZIgtBB9@QYF9J$?
zY?0<c=j%5pqyVHKrfO}ybk(3t!<hmeN$<H>#4pFmo{~@rb!|b7)O#e9Yo<G#QdRwe
zk;Y7Z=d7%u5mv%pG%Td9b>P^s<)DZw+YuceBXb8<a`hi0tDv-0IwygrRI4ubW=_uD
zM`EUi70Dj+?x9uS%QlD@7VFffT4$hk012fd9P&Ej?x#=tNlg;r(x0}X=*iQk<|eOV
z0qJ&QT5u~zC}J_AGUHQ?kNU(ahx$9TiaTI=VvR;$->qqz*HWH1<rV<}!UBWJ0Po+&
zQZ+lCJ%1uvDSX+=l>qMLdvwR_Fg^41g==J{MtfB1av7Pd1-Jv+g<@pce=ajTXJ2QY
z@(wXp%ej4>`&2g%IK)%B;XmJ~s7FTbvA+$>ZuND05XGv-AZV!7PoBi2M8gs@_H)bK
zqQ^DoK4c6KEDr)_q%A=C`>QiNfW4&v)vv{}paHaiiN-L*m}k$=Nh5ZcCQUI_b%?r9
zHXyeHu;WymyLbDe?g<DBE5>Z!kA%+~qaCfp7U4R4>_U>s4HT7;9&=L22tVSq8#~Nm
z+-Ik16qk*Sj%My?MM*lnjDevuf3sy97UomS#;m~7yP>=Fmf%%(-d7N4Mt<&qRMhD!
z-A`${vXotCtha{b1;p3WxQau6{a1pUAbB9g$n=bD0P&9DOC2uc1;}DIt%_}boAQgA
zZ)6GbcM%RH@JZWshz_LYv84PBfSjNZzv}tP9!5xerJXHD^bU4*rKGYWCLt9w;u(Lw
zD-f`acV7O%-V|u<5MV!+kHhnxaY#v<EmE&22&7%dXblhMGE~HBN@q>?ONWk<G8YV=
z912#!d@D$QzWo^^N+`Z#9{0z+Pzo;uLNRX4l5KPwXCn|DV?jav8IQ`IFlluuf=DF>
z#lgF;-?(vZr~ZiunGm{_>&tQeUvA@?auZE77g8)%<;>4E&JPik_U-ABfP43HFj!?s
z>#t?AIwL(Izy}cCi9iEzDbD#)w^||;Z=Sl=SzQHqvj*Z9VSUYFhvhEjEki~iDp=W+
zJCG)7iHYp_X?a4<|5VXlrMj9*5Of}JEgmTC_v<&LKzxbnF!1+3*_fFX%yx$khJE`Q
zzynaWO-_y-Q`;rzjOj0z0ol2+lx*w4rhVXAV){Tk64eM*y#Kv>I@#3iSHt@p)gl{}
zY?e)+BzzDU$i%{8TmcR7>w=&%-rm_+5w(v7oE?D@KpsJ2GgsON2kuJzI*I}uYX>4;
zM3l$;99YBG-!&&bfBw97!v=M2yx|`?U4&$ma-Wez_E8Mq6NvR%z&&#-l{tEuXD6?u
zWH6@N8Ni&&m-nF95jFmP9c4Kc!HPW}@D`pUmWZ0yKJf9O?@0<!3R>j<1kX=$a-Pn`
zi_cFilT$#f+9>ayky*s_ZgX@n4Or?c(a}6oQc~i5_~YQAL*YYi?Ck8Krj<U|uhX(S
zw=t0d0nC1Bsyi|t@PiIeaG(H(yt@npo5}+4f2EdtIXN$GAjuF}5geb&WwvZct@OF&
z&Dz$^pc~y>UAq9x5O^!aL0kdM-&ko9aks`SS?c<<%Jld^Ct#O&mGz!*a7U>B#ThWq
zn2cIQy*$sHIl}@Z7rw{-38F8NH=jJ=gsw%|DCa5(DJj0cSwTVJDX=(sb`Yiy`P4oU
zp*C~BE2Jq1d?d}_!QMeg%J*ecAb~}I83ZV2i^;!b`j`)Z=`*#Rayxa333F8*w@7#x
z;8&6^M4Se7C^E9LH6QGGZ97Z1Lsx>}H8s{(1PR8De=n1@i;~rqW&VlZ2L@}TJ{#z;
z1}brFU{W~)kp|iCIKs~x*JFH4N9@|ZFrmaZMqzM+*QINu?iL}kj`od!o8{y4LCs6S
z<bQ1+slntTLVpc1V?b!Af~sn@)If1dERpi_4p07ES9l=GTLcB6bWh;^`f#G`R||zG
z9z1dcGMd|Q1%*CM-=j&+E-t2JjZ#F}Kl&UuKe}~S%agE{JwQ^JAh!RX`U1-R!-~CT
zXaWU`<aN{pa6OwVYbk7>zq&ekFczmR86K|_C~CAc_VBp3pFmU%A-cUsPH8MV<kd9Z
zAY_yixmCy`yM1&ZoxkYL%09K{I3$&VLzrqQhux`~tslmZmx|q+Y=~?YlqpS+d4I*N
zhqxM|qbXfS_iw(iKSFy)Ti=y5k5wM4`ZOQ^<J-)&i~=l|>Kt-6ukav4pod#JG3P!p
zDN>iLeE6KqZo+}K$?T-;xj)P-r_`pVC6W2NOzKK><VG@NHdHwN(A*Vy<%z*KJ>!v;
zNwT~3OFc!jd61(IKD&)iZ&)(YRwiE0jD5;)Zt&bAV&fWiBenj``enP|!N{X?s!69z
zUen%DKlZMDk4O4<a?r!L$E$SP)+kKieA;($nU*y;(Jk$l?aj^R&gKHMwjr_eJovrX
zK`&1>|4t67_?SPvJs{t`!<J%5o-H^vl8#c9Go5oF1k1r^H+N9>a4K^Ysq|4{RQxYQ
zQM$Zk<|QSLEP#2FE7Vb3-yzI0F}*sp!qfLC><9SLdZ}}iFl0DuYwL;0N&n#BFCeeV
zQu`q+Spwl4R8`#ww7qTHwn0SAni##mQGU!BTI&}$o`WX-6|^}wR&Kce=usi)sp?c~
zuD-eyM4gcO`ugKlaUcjuK0|p(NE+m@d-v~u@|d62?%4wX+=`r_3n2g;0|7ku0|KO+
zhuc1HI^X_}vwwv){_D`$Ll-Y{hD$qkz&1dWV<yfF5&$&EmsIQ4*FOpjf;96zsc3?Q
z4OZOLWn^Z~<?@sHgvw#XUUzpn2r<PWB3`Hj!xFP0JM2Gj;A>eK&$exCGfT%+yxecF
zgntyI&+mJc=1vA@OfEaz`%Ett-_D)7U^YQHsnyBI$Q(U>{Nm5o=Q>@pbvGgkj(|la
z-VF+=nM+HPyG0-dAa{z4scC2^?%Q{z<mve?DD~dnKR6NLQ82uSiShaJ<!I;_{s7HU
zHjxGG;Of<@gF{2QIi6G*Q@`J6Kn$i-j-QJzd;eY(xB1quy1IHLOJzu4B<&MIJaC>~
z3E?Fo4qO&W^I}xTPGdDj$4;Es&c)T5F}?Xe#BGz<>I&yD2VTie$^C-(rcz$fFS@gM
zKw8KOZEbDU?>iy=tXpTFKkn@0R34)yLV<Q(4ZgzI*!a)ypG8wyVPUKUP);cxJ^J#!
zJRAqW6M|Nv=T5o{>d*@X%{m`ln1V|rKeO*eQYHq2%a=bSm6(YKL_{dT-SDQ~ug2^}
zYU)N$6s}Ny%%=Eu?9c(6`}sTZyeiF>J@kBJvX>e=@IQa?LKyj<%s%)ig5})y96EFe
zlZ8SQ`c0yj_FlNKNhc((ioip0^W)amyA>YtHG>8sz5ohpNmQD-B4siMK;?i}H$s7g
zw_$|}xz03rJ$p1=PQvNIu@r57T(HIF-=>BI5$KLrL8P?ko!hqwQB;Fk8>;YoXj;e>
zk&uhktB4|v+aq*sMutpm#_;in0-CTJG#=uJTve7$ivokme^Z-i6_wq=q|0oNzc%Xx
zH~VXEnJ6A%B~$FO9ot@>5Sp%sO7hH$Lx?!^dN?=7VEfqH16bA?zSL1qcQJT&ocRy`
z{%ak>li*8iL^#hwEdE^!@{|9CCzP(2e=V6?`11c72a~X}c=k;%aCVtYKJAiP8X}{K
zDNvQ4Qe&W6BprV6AvQf<oSzB^Xo0J#?s$72<v&HSJG+OLyyB#TIGz|+upHLlV1rD?
z_lpOWoW?=y9>r8Y7NeBz|C6Wd*{VZ|JEm7^I7{JWkTxV*n>_r_<MCRCV!}W&(GQY|
z+7}9U&ZGnX`40c)ajaicB=z#?VN)0!8R0_Bkz`sGVck%ZXhifSA__4u@a)|A>eJMJ
zE|*?z`s)?7h*DWKf4cDuQ{DLcHgSvkqtj!3khi%dBvQVQiU<pD++()`T7?nfOkRHe
zcaZk0StWH6wcwZeQdpQE2gH5t&h9YV3VVP9yne|O6xZ(OL4-qsR{a=sE72t2Qu+m@
z_;^($st<y1Kw^;T3(pMm0zUgtav6dvP?H)*b93_sJ;}}&(pNAZNBOO9Q&dl%{seCd
z!d*f#0>eGPcGwmWV`0mJC+;~2I&nhZpp+uYl?`eKYw&6!W2gQR_wvIR-~b18=|AuQ
z6@nJKoNF*>128k@wa@_&Gh<J4fTNcrD)-g|?QHi9JO+uZ^|od2Kuf@&q71D3+zk>h
z$QKhg3`xX%)Gk|Lj$a(Kwy{@QkMNtfyHG~P)oU9$o-vYnxq$>Z4SL{3gO69~h^o`s
zX=KhJtnWSQ40g!4DwYj+AHnjPoZHmdE+d#C@HQ?iAat{3d;-^>92lIom}p~HP*>~b
zXtwlxp6M!^UH+&p7Q>UeF1q^fF!gArV8$Rdxn@m*0qE`im>zM!cZeq_4b{4B5I7;O
zo3V@SdQasuL;a~Ws>v_lT;cIKdJmwR_Q$JC9MVZtI{z<CJ(O9pP`L}#Zx2hOgn6wf
ze1M;zWp)2}RUws<2tEM(^L{%!ySqQ!wDxbFV;Y{TPP`;At1w}DDZ3U^K5x6^Aqwr$
z6DJH%s}_e#2O%Td;!U0Umv~N|y>c|trC*9$F*pap>In@ER#=Dhjf_x+EZYls?I%07
z@r_EHA<9;w?SmvnA%57#CP6d*(z;qk3#Z)VzMB$j=LiltELp;ugWzZjshC?S?5Kl-
zIHnz+=7%4bFMffVGBh|LQU>8H03{zOIzrvKPdv(lbL1{66qIlV{q<>W?d?p=%m*5?
z+(MAZF-14no2_db@KPQ~G@sUgupk2;y(<L&YjyfEqjPX0KxsprA|}Bx_=j0;rYGmt
z)28;N(MrFC5NVFCdKp+|$wSJFhW&F?b<A=WA*RL>#f+6-zRMYT8px6$J@O1F()HSw
z_+ODOQ!O739Hl7=$x%5G|9)v@VhllIHW6WltE1EhSKg?TOV;R&n>j6b;&N`s_}1yA
z8`JXE%-O9X0Vj=8OVf2}X1{sdNY(q4_8!Y3{=Nm=xd4SVU6qTfdO4y7@41=cV5T5|
zw63ea_nlQQ8Yx~k_7-dTpvG0|D3MFU1-ea|MSbdCWV+GP?KQHRlG&@7d<q8$+#?74
zSSRE5xQW90OLxG8yyve-95j|5m+F5GyH-goo+>PYIx6v!O|340ef}$PF}}i1s{Xmv
zg~$8U5tzLt#c*b(n)TG2QO_91;u0Oj$n?uwO9{W>wN!Mn^-1{$Rv#Rv0T^!d#F^9(
zr)lu%u}PU6n$1lIBQzDrV{|^JbSduNyuYDCCs=npWi0kE?kMa5E^hp~?h|p0+&~5p
zf3$RAWdgL;<Y_MFR+gOFJd;)M>nASY&5Y<T?!L7=KCwM*j2bHc7w3}{yTgBdWiM4Z
zOJEsIu?AI#@N^~af>Y@TekInmENiP(i{qEti+>FQ(jb?zpm&djbL`^Xo><{odVGWg
z$pwi2X4u(tx^nMV>%Y$O{5(w)Y`+S?zc<D(A;D%e)YiZ6c~iG`zuw~*+A&wl#WUaf
zVM0+nc5JJ>eD?ln@I6P59eY)BB3&+E`J+DxGF37Q$>!#TRh~C>!N%=+KLCend3ia`
z<x;-zp%jBw(l=u;x+vKIQl|cNUkj>=4Bg4g%LO_gJk-zp7Yz!of;qHl@}J(ZF7thF
zyN|pKdXw!GEsxnz3VakHZEgC%i7`c>Env{nL&cl)&Uk!{>V_wEYO!<^>Py~pm<`+}
z(_#6K<CHMSgA_a&%uTeA`D?3vJloBhV)!3AdlF)u^E6%3o~47Y-^8}S@K{*|dWtYS
z8L%ECrKyeEV8Z3bTQ0z)wI*VeUzdB{@@ZR0?b|9X9SUO<d|^ca%5q<!2#w=0r@b>-
zGiIWMHm{yFTO6|G7_xd8Lp49xQ8nc<$Ug&lK}0L!c_g}TdN#Bj#tj>YixUiJjAr_n
zPY>w6Q1C>|AibQNQpH>&N`>f26alXc>;(vpvG+BpGEn*DUY;7-o>sa9mK*<FFMm>0
z;e-gEABTlt#AANkgF+HrOiYZ)XwstHkcg%K@|&T+R_~rd_9FZpu>+X=+;ve;uNzDk
z{1)-C;GabajR}hFGh*E`dirgsV?Z-Rbb9wan~B}>ft>({vsb<fnOL@{q9h?SGSE9Q
zWP<Um$Z~TzAE#9Usy`3*hBrS|z^5!oTSB2F$X~-v*BC%9r`l#^qZ)wUk}%>o8901(
zHv+8=e&O;P1Q$kqFEUaY25;MrV%;zIws!U=Mn!qTYz7+!V(P15RTGUd2BDtggR8F>
zI9?0#n>E2|w6<D3GHHG!>BG`NIAmHeAkivuTI4yQ4A2bL7)7cvtWr4y-Wf#rmYqAl
z)^;>E?>l{Z4GOc@r#aw8ihlq80q{5FUPy>>c#x{Ve=TToxBjrCxiT8{e%V;$WPB>d
zVcC!G20Der%?=+0afjjMCAmTMqot)in-)oadH(!i{bzkQe39}eCp%w<PYgm(XJ%&B
zTjh#mQz<uBYc!dV4H`plxb5q?*y$%jgYot2`@Iffx>~E$rgM@<)4@|Q=2TP!AjuBF
zJVAblCkasOC4hsuWv$8YAFn`id!o{$#bO=lC+Q7VV|5NdtT!Kb3Eu0VLU=j4?xzWb
zZ`ZCCaJj@z14Wb+aThOMBz_#Qb54QN2wdb+D1Ji6NCoudN$J!t;*ST7pI}xaj8fUi
zT+l<?e(KNY=yv$EJDP<G<CZ#EF^5ewWF?WXcHqrVN-)ad+v|8I;Ose|rNs_!lIv7=
zG!b5ousc61oSpcWd(PZ2F$5l{4-S2o^T&Zt?(RJEBHph1G!YvT`M^=We7Pf3Zsm#<
zs-U;jrtMU>?q>Y9hF(N}u52-k(!BX8<q6C6ZVtCUOqrKQ6OuJ;OT-|(+Ct?N!Zg}7
z9*EoVX5#Al@roHMQx}0~?YedT_wQ5Zfa^3akD@}==h;sC0G@SWk2zP2Y|O|MqRz4v
zD?aH9?=~#nNECH2^GcvPVPDt+lkH_eJ#-96u+DuJW{4l%>!Lz<x7Du^T!9sN!}O_6
z0=Sy6Q7_pj<0OO_c(En#7T^V;h>0<0cAz1B1B0Ku<E6jD1*>u(s_fjgi-^bo2G;F?
zDhaRvu6)FENd+1Bk=kOCFgo|9imJCFngQUq9n&J|=4&F0qm(569|-4~>Y-UXSo`<v
z|6I_NCMgto)l2+9xRZ;@Hbhw~*8Y*Y)h6}~O>pLS!)XMq;=LA)6|{EP5%IDUNF*O#
zb@QgC&cOJ?%)bKYEd+c*j6-lnR4cojnFV`-Fa(#G*;!NDivBmomI{>mB-T9*e`RSZ
z%sNE{1ukLX`$#)=FJ@r|?m+aFnVV=$N^>6n@l1lxqtb>uK8;>Rrccu!Q%ExSLMDAN
zF<N1L?s}gBVG5SmpB*n6R1}vEuDTK6Y-N?0`G(}-rDxwz2_ZUnb#<-i!(!y(<$WVA
z(U&EYxg{&TebTbAIt9^^$@*y0CW@Y(o?4oX!Huy%UKI#FXF@|AEZZIFY65kugh>L~
z{qr|#4(<{9M?Oquh0r7E_JWc|_<dU$zW3Rq!hw|;maEooxN3RNt%qFQ>+~C{L854a
z<gJJ2`N4w+6rk<`C_SZcXOQuDtHiv_l-Airw`{!pNn9rH8gkR8-)y)lpaOLa;b~}m
zJlc7r17lt}#x1zQE9+jH5yQv)G^@$ka>0^?IW9@>H8+!W6z@tW4HD!Y$9~t{;@jIF
zjV06OXnx=i!;n?K{u!`0&$q>enp^Tc+X}mUvKD8KQI(&g`*9_hwrHeLxL1vEX_6c1
z_NttB7az1-Bp^J1LJZogXlD3nOy)H>$XKme;Tg*(&XhqDCA8GWBViFCZCOjv3<(kx
z?KgCeO}s+D1p^LKTErQG_)rr7se!lo?7Kyr=LP8X`*+ICsH2khpKL4%9J6-8H%j%d
za%b|Di7}As6nKYWaVkdxEiFYs!(ef<^+@01odSV5GOk%QDnLd5MdPp8RJxYZaA>k7
zXW?5dWBAwS?h%T;x+Kn@f<j%OC6>Zq`K4~<5syV^ck##y&;Cz5<+z3N8p0x3C{dM%
zi}o2zzFvS!7AMF*(+Y>hM$~sm8#G=ZGr<DqJ*G%Kabusg9BaM)Vscl)FK>DA<c-J6
zG>+a~e9Cm(w#13W%R7RUwLmaT^<Z1ek+^^&E^ffZUnt33FSs(fws)>{F=DappnQ1B
zz4+dwZ6Ez@VNH5S;P7PvR`{xa5fN)$r87b(%%$Rf;Oc+2EMxUvi0Y|gVA#;wLmZ38
z0=VD7@q+#)Wk{b8r2}I<W+tp5^nZfb1vPAsUN%JLt-QQNQxpBt5>neXHPR@uTTQ5Z
zk=I#x$Tm*f+mwm#3WC<~v!h(u57rW*`+68ah}$JF7Gk^+=^26Qel;#`fMt3Vj-_3@
z3W;Ct<=d^2>*uY!yLFsnGYQ(VC}^h9`P-!XAu7wUw|bwVB0X%dy71HVHl&a5FS2J}
ze6Pu@a(`1Z%MG|Ac@m8udWiw3FF1U@leQl=>5=EBAWiMuu_NADlD|hLhh8YO?*eJ`
z)6iJWK`~W;qbF^$Bb3y@U%!4OT0OWcIhYbfvUvFU?*d=+aEXhLah})6-Q++uuvgN3
zqfK&6`X<b(G;iDt(0vp9e@aTeCtQ@2O4XDHU&g|4ec}D3kMKv8rIOVSUNuDy3tC05
zF1stkbxZ$>BHI!g5YyJYxQG8H6zzei_4ZvKwE6_-H{cq}QhooS5k<dPoSR=4Xv_bB
z4V>yB^ARFH_l(diT^;W{Vu<W@sWOIzLM+HtnvQH}$?0hNcunz<=yLe?ZmwoCiQHFv
z082LWP1K)lPSZ6h?BrQ@pbY<ehxmeSv_KAuFtE!UMMjH>({^g6)4~sFzk`8-0xii1
zRyS7k$H7jxkhLz4nxH|@@l=7K%IJlCR-&v$3D<Lm_mZkephSP;P2B;`uygzNQ9-8%
zVv!zbZc^^Q!OxMijv@D_N6JFzNh;kgmo0cNw~Xq+g}=rHl~99Nx54D2%yqX{*Ci22
zBux^_Q`2hO4@*7gIrW<hRhs{u15_uK(s{jC)1dTArJ>s^WzMd%q$_L-z7P~m*-@Ul
z*=cI;M|Vk^4r!vEc$>oWJ-FPn`e2c5_$rWhEyHUmpZ6~Wx%!*bQK}D6k<G0CM=kkd
z7v0`>-WCjV%_nW>SDVEz-0tZ+_{yi;k+M7cO&0*O!Wqf~d9iN`C6QwkWrxQuc_#h&
z%aS3M3&G}D<qk?=<fl#h!e8h-_}D+tt9chULYTsL=dw1OT)4IdSiI`*3uhp=o!pXs
z?Q4aNLTZNFV&O@oj_To+H<qyRmnCgLWX;>YlXCpf;$r%~mhzml$GrKxXN}q774yl5
ztE8_e3$e;m*Qoa`UJ-=gt1lIsTVmh;Ron%^U>{hqcvV=~0(m2sraFo}h*+$UPCvzY
zZJ0{7KBIcDE;nM}ud{5yS;D?POTUVTNZo-E7a_|r{UPi}ggHG~%9j=0Zd%H4GT8L5
zo5ACU(EYsjGWlU=_S?VC4aKUxSCr(4ymowE6YehikIL*c7x`?HJ)N?)qyyvXd6R{}
z^=t__%z64iYwW|$54_}EDx9P|u>I@ypHOymo|j{=8h1Q--elprZC9mE{H+cITJ8&+
zyQCWk*w1b1&&vLaw}+B%crM$q^ZIPh;_K1a^6#T=pmx{<!U0jSftuH>TX&Aj?SmKt
z0|<^oj~DV@Ubobt|1Ehr0FwlCcNz39eXOcVIXq?OviL5A5sMx^cmNmU65{POhoDUg
zL{xHK-4*TN3uNM{l-g<*SA-D44#R(L$^in^{vmhguTYtKxBTYG6se7d)w6FG;FSN$
zra`K5|NlTb)}}wZ)AMKHZF*POOi=!dtZpRp@oDlD`rQ5{nVU{4DJ)LftGP@6UK$ZJ
zi3GuQ{rdH4nfl}PfjYz2pJsm?a9JGMFdi=kPYP@R==KSPA1T3Y+JW?6z!C=rf=UPe
z1a#{B`rwYl0u!?#G!MWotEL<(q6#4zzp0Nt`$>>?lS8shl@=i>qT3Ays9#?kZ2HK$
z$Icrd|9*J*37FuKMUo=&-k}juMrN)!VJQRqGdTGxs|ce>eq>$7wsCPiJ?>V>BHFiV
z`n-Avl>@8sVxE-wtCKqMpXLkKaVgde$5j~(8)kBw-)S~A8!yljuRrt4XU~7y3C5qs
zxSYxLKvUkpy`;|zNPrMN4}K5*xtiMluygSRKft1zvXfo7?H80CKULgibKFd$+EN$r
zhQA47$?yNl)I57czNE-~>3b0&!W{Ssr}kPIYfbq~!+IsGA+?>9!pU0$birH3c_bg2
zcV5H+&-P#)&Cpif=yJfqGpJseGq2dOVm(gSNs%T$BS@~DWqTNeXzY&cBjX6Qpi^+n
zW^nl0C$ldN7K;lHa&Y^M^Yp$}i-(<iHbc?LGsaT9u^8{75kfY+aAj|b2()@#y-*+?
z4J04GYFt9yv#;B_I;C=9D2}cpzXee`l5Dj&5^HhZPsR%o^vo&BgOw_B41-PFlI}ki
z&hkYHk91?@tt;LSJ*h(G7qOnr>J^@+MPeN3zAeyyM-VE-4lK;YFa+-(KB>Gpxhsdq
za=tbGHPvq5xAcuVm#RMxYq(Hh*jOLoH>`_Udj(Er3-Zu#j-l9KkzFi3N_EmiX|V>G
zd}vBYJ8yI?J$TgGO*hoQzldt{bP--l7NfNnxrH}){;Z^v8kZIW-f5gS@we!e_`^B^
zH)MGi<L24@IP=55;-;h|f~fQ2FqGrnc6=VERkZ3d+97#qarOakKkxW2!2ax~SJX}a
zwT;oGa+El-P)0$vd5XFX&?nDu66MMQk|Z2l2V=e00+N*ELzm*eN0Oki8b$27P7)Ut
z`tV6#WEuHEYlc~659&wg6_o{OLb2L?vvn$Fgd&n7)VqMes)bo@+Pd!f550>NwBf=1
zC<93cZP>A&reMy0@$#iNVqSf%!(@99DU+d!!y29gpau_=tCrY5eZg|@(RBXwD%x|7
zzU(vRP^#nhgPJA_tBvC3el6hN$=88dL|hW@p+TpOimE(>5Lo&u5)2ebc!8*JdW6R6
zh*s9WNH*&oaQOW92&ys_(c9Z=8`~JCEl<2)XaaObm$2%)i*&Qo<I!N?zW+1Ceo?!$
zFoh2cCpc1#i4sTC2uAEXY-B{r1!_Wuc@^&tg%?a)R`B*cDd1~evb??rH1!!ZUdBSD
zwYo3siRI^X`7#^=dKD1?0SC^WJ^OqBfc|ym6ooXBadKXTKj8ca*Z;`;bR4Z$oULSB
zyF6McCrfM*Da<vkr7ABd@B(JO9}!_;F0#<N2#aUc@kV0w3>~G)f*3Cn%MkxBrR8~%
zo0}Whw|CB8)Pfbup9Qt2EzTHvWWoPIsGb8AS`5~Mv{rx!izJnd8eG0`$}WkDkH3e0
zULO#Mi7w+77)usOt1Xbpxum3O1oZ5VEiMBqC=pEnuu^tijHDA6B|ltTP@YX>zv-b#
z$jNCY#3<dqCx2#g#QFEDXtJlorC%9RcQy!id{^KPA`W<c6f;B*!i)mxMI3(EV*>fL
zid+V@XJT^B(9?(M5U;$wHKj`IDQy0+TxSo72zVW+YkuL_^nLTfT1}O5bC*WLzxBn+
z^s8M&ZSm$p9IrJBUmE;)f%}(4<@(CaTE){#qHW;D)9l4UA_cJ^sf>s5A~S!PqnqAB
zFgQqcQsDjzXv-c&@kZ+ak)VWV@STWFa4nhPco3ejP(`9*Jt^QDOgp&pS_`#g>bHe}
znF<{vO;Sc?r+IzDaK`=gtNQJcQBC^YhXjrz1j`~i9y)c;@jAm;6<ySXN}Y?S(Lmj2
zw#4r&Lu0igtFO@UD10rHKh-UKgUA``2uagQ9jz&YhEwZjmr}~E^?WUqrQJK075*Tz
zA=2m$xAk!Kz}j^x9_~6Hzn(svk@@grTwI4vg!wX=V8^TY|Ewshoq)?G2ux$^Hni9d
zFFVEByf(t=RK9$pYv@~fi>JMPrk8Zu7`vT)94#`hcb%L!anwHRdYkLU_Fmb`VOuR{
zSg08~!gaoEepBP}NAk!Dg;HJ(#Me~LhLsc4U0PRv-pl6bp!aNaq=|1jD|r5q;P(2n
zM|aCPrKI~04(@Ssx!lxl{HdTKcdEXwg2u9^sxY#XO|X5)FXeuq$Nk`w^52&v8GLHt
zASb{3n>JqOM|<A&bMoX8J>NQ0sGI1%37!;dAMld6ywAUV&@zJQX!0p9R<1C!r>kpb
zhDP5fKc%I4G4e}4DvsyXG5)SP?%Ow;=YkbG8-s9@OWfRfDO!xP)aM!>^UrT@X-ql!
zllA;<3FioVsoyLgnfyMmivMiBcSO^s@BpX%mt8AcQ)}*=F%;oZD3Vk&iG3f}by9v$
z!OzDEu54>sd&*<n?@^;3+5G(<H#VxOG!b7s$?F&_WEi-5%dQ-qOT2>AcWfUwZ9zrV
zzcc2(=d$B8PgNcB{2I1z)n~E)@?tgJFD9p(dGS;6f=5cI!m=cG%jDE;T9%$y_1NBS
znO4N3^}L)dzyD0Wr8w>Tv+}IH)U>0`Z+?XdX`S17ogEUd#(!Re9K1T1Gp#%Cj8oMu
zgJ#*Fd1uZquh#4+PNw}deDc!lBRaaJO{(G#)~UR@DXc8NBBRH;oV7GIU@NPrSHNt+
z;|>g;>%iqa@!Qe10hjH3-yE0*PnaPq=sL(V@;H@o|K_tA4?QTZ*K!2^d`jW+J(0bX
zv(v$UF1%|*ooeuE*M^t3hZ%I-J2%M;^XZn2_-;S=Sv*l{cbn(V`^W4fI-jS<ZOto7
z|LwMUNsZLfjq*k;hd=JSuymcZ_EPz)3ahP$yWCgz&feYA!F4@!#hV|RA-XL>kM%d(
zOCDrXqC3RI$fS@N?6j#sj4R55@A|=OmR3K1ONTHFFeLPruujrl7nkXq9xj-m>G^2R
z(UaR4*gd|ttzMudn;AJKD03yFMAPQ$M^4HXdsdy`V6KS|c`p0@aXZIk7}bxFH$@89
z;$pNWXoNzRExWT#@Y(hwGA)w@FN>DXwVG+m=g1Gx(ln}`u#5T_Dj~ilb>g1EK=Zq6
z(QdNdr|!`eBn-8!^>1S`E~Ih4)|&H6p8d^yeece=y~~U}RaEI|3sm>(T8UoIn;A;F
z(#~+s`f<Bo4Ge@H8HMvNXWL^g-CjBRaiH*z%N84pDMy=A#tcn#<?~x!KYr-gvmuP{
z`OAs3&#Rb<3+4Ak#Z{%{KCdyGY_;v(f}!)(@8fp#;J)ECuDj>qq3Tz;2Os&ax%hg<
zmusDq)4r2yffaM5qy9)5xa&GOq^=S#^I|^oF?+RLW~3|i(9m#Rqk=7?X608I)zLV4
zkN)K;=O<)y1dD&2yIrkfFt3#CW)?EV%&uZx*5v$;d410XLFi*`@l&&3X_1-fjy5e_
z?oT9-Kj?PkJaOcfINSD0-pGw*jmxF%*D_B<Z|6MCWg;|lMJ{{a!tD5x$;Q7+x1s-O
zOp#1sZNrhtAss3M!y<Ve<-(Uo*!gMvzP;62&QIfO&1cI+Q(QE(L!L=0R+=Z{fZA-`
zDc_(l&YXffMWH`FW^*gaFcsL(?C6~vE32|@*c#<K``cf>yS3apOmanf_VmaoTT#@h
zi+Ang$}H(}RzA_*BBiN2v{Sr)GTc7hFM)exN9cI_DVxHvN7p~HMn5fxvm2^b+JBN=
zaAR&wFvrXEz|=e0r3P0wH70It`6KX&%%H_+@wH}c<SxCQIoC>yGX1{a>&$leKEFo^
zwV!L9r468oYzuUWJ2PQxAMNq-M#0BbmN`66=Um@1?y&hrmdIw&R*h#5CoVgGmztqv
zn7O>v_C!Dp>nMYqva!<f6v>$#FRpc~)L!m4j2K^gQSnHhX6%m_Gc?H@CS2L^tfiYK
zZ?xM_s`*VW?NyKVmhEo*dI&ZC=}^~ed_mWi`{nYs%m29LvwgNxL#ag}`Bac>$5ii*
zVV<66v0vK0D^1JB*IYa0zVq3jWRXqd7MJroFKUy?*3CFbS1zFc>b|_d72EQcx%VW_
zCysYnZ~D2ssr_T$WWmzznMX^T?Kwr4mjCQl+QLc9HyWbwRh_Pz+5h#E_zeF>dnvZf
zRn0$L;<jff(YpAt8zCcnEsSdsTk?5w;>P*8$4eeM+>mFQl}_`9vsd8iUTwkOOD4}s
z)=6*|N76kNh&~lg!7muQ-W>P{!FSqj*#z~a4GCwD+^v5LG$jx$mu)Yo<9~-cuWZ_f
zDlXw9xTw?Wi|(=i>GoiM>xQzQ#U@Oob$MoH=2BfUKRkNx)c$Vc5cAdha3gvBFyaZI
zSq6Jf5IYEZKu9|R=*hN@j`JVpNFxDc60+?^&3j{J(gsO>;N(gC_foA^j4mPhHSCmZ
zdG4Xv5K=+0X<X(KP(R$_;txrSxOHp(IaLo7!_dHn0LIko1hQvrV1En-&-=eOkaBAt
z)4+{S!p?oHpB7eiVwNJN`=pZG+-nfX!Azg)cEO*AOiW&%PzMPO{Iz5Y)c)RHGeTGt
z9XN2{n4+RSaCqR79C+FnHUSwK8KEi?ypJ1~^cpTR=c!qGp7+1IrU-K6byIe5K<9^%
zk&${(P)fLQ_&?;+b+wRp-iR{-%~)@QIK?F@`s0^D^^G&Mdynjfwi%jv8%iS(=V|Q!
zqsSe=#`{JCyd$cR-nx{sw+`0nt*H&x#Z3{dmB9^q<nJt1J#qSL5P#syIb&L9Wrt$m
zKkqK$_44J*<BiPlkyeftWp^y@CX%Q`b`x=%nwo0q=`pQXzkdDs@W<7Mu(3|v%#dWb
zv~L|-0e!!e#oZdW)YeqN{NM)rGHt17$(7arM_A6=Gc`0c1n*i+3<T#Ki1ek^3;VC|
zT44hh0>phb?!F3>8rj0<g>s}4JpO3>p^&!EC95{wd-!lk4xqRqx=9HXC)=%|ms$s=
zed2)lKN(4ZPC1iGjj8_)48Qdk3{N|d2ul;$<ACge#S`Il6}@eVPD2;5)z#@9BBuTA
z1|#WRt#4L=6#_&3>XWXiN~dqDL&5HAF23q|4jlcG7LKfmnUcWdgxh##DEXO{P$W#R
zq!w%)oEHCmd%q2XWUC<3Ux*F{yzo)?f_C~`9mud~A85tC5s?3-9eU%H--&I51OVcQ
znU$67k(D+#)q@gL+pH39>}_Nx2gs}2(Yy;i=3J^|YGR0#Eq7mSQli#2lufa&IJUAq
zR<a}e(H{HPqryt<8s_z+V}v{4YX=DjJvJ(v2fATq%rQ@CAYD#G@k1$&F6Lh!>VM8f
zpjGDFgj%Q~H@j04RgRcPC7N;-gN3fZHw;nL7+Y<jPI;Fm824s2jLn}qYUPeyyPjaz
z8#q^<esBM`KJr7c?>mU(zLed`6V=rSx`<9)xNsZ}Gbqamu_L5ui8M;`U3l+}9#Sjx
z29Yja>GN*Qo5an&kOuB}T^dyOo$$+CY|6PZ1NVZbsqZAV%X+)uv4Dah-WMy`4?5sp
zV4#7UD@3D8gIGx|Piz1c&KsLbjix)YKOd1Mv|NV{!6*8*C$+XQ5hGeN6P7*oo0npd
zHEBp58k^*?V&{#8t?}Snkim9Nq@^6~k3T>7k|)2vRe(-N4jYX0m?qYkVHL1|F33pY
z7ZfZT932%S9a++6Ri)8&vML9)_zm5S4|iX7aoK!lJ%2)MB3MKkAw(vFIAPO6uxbpU
z!Ro_IupgVWA$DG?pTHJ|WHXCR4DvJax*KCB6C*^8?|(xN(D9(O7N;UvsMYxkEnMyW
zgX6u}GeR8oy9u^93z}79*eH~f+UhH9R!as@4|3K`-PD4z8m3DOQFj)1Od|FnQ*~JO
zi0$V>QlW3)&lp(XDX?zP<RFUf;O9?baRg6u>Bmd|BA;|PWYBGP5|%|+$u-@J$uuMz
z>9KI6_Lp5oe1l~M8)7iytNCykQdO}D<`_k~9VWeZ5V}Ys9orr|(yfQNIX51I-E)Y8
zTe?4$Cg5vZf_x8YUX6$-MbplT99UT=z=3pO|BI$6d7~rEqK?%5BLU&zt8_B;j;F!1
z-y>{fBpwR$64`U&#;B4Y{3|eVFs@&3m>A3JGwsFU9)-1lhVc6ksL4x0b6g1)zNSMl
z2{Entcd<)G>?dKB88z@g!q^S*LbBO0Y@GwvgKUIhR+n6|y+FMmU97~^4rA(Y9<ws~
z?f0->?%E3T*T&r!uNTeBs-qbib`l>}sWnz5jpm-nW~bo2Aq3Z-KhH2~7=(vtU7+e8
zN^4&RC8k>z?d|03hQ1GYO&2%5;Fgz<BwKu7C&PG{ZC!%SnL@WKAS?x@Tf1<Iu}sjg
z>{bdEIk7sE?o7OJ>}+6JP-qeaS3j&cGp!u+lqm4UIQLz+6L!OOA+4e^4bK=qaqlWB
z`eZ7+I)|;Gwvr7N=4K{Ie=Yjl&~&;H^h141XYUTXW!0bIrKdV8Y08Hkt3DKm++~-2
zglQc{HgdtHR;Dgz&#uKrGBAPE#0;!x9UB^YjEj*CJJ2OTHnNnTpHvQF8^Jul)`{&2
zMFP1+MJv&)dp<_>BX3;B)u5ma=m8Os>aVzQ;|991R>GItogi;Swq3$IGOutzf2t~j
zNBVGMA_(t6P<ply4Ats1MvZ2%7t3z614HcH58Oez$|vg@=MICcYO2LNf$hEpo!Q`_
zIAvuUYR@m`Bsh29u<@n~-P9!;G?2MK_N2gZ<`1FyGLb%9>v?SD0m--ORe>f8Y}wY<
z?}~iWlp~2E%K+D3%@pzKpaCUO&hfK#B&61Rh&9;mrjOh?0?U(6?P2b-qbg`prcdo}
z6!9cmUV_aN(aE8hhQ67L@#B#9_3|>G!K}zL6Q_xtwRPArCb#mCKt0@aKJXc_V2=i2
zN-K6@5JvdY@2yEJK(9?OLO2s9HL)w@V{Z$xqs1oVT(X^Iug2sg+#%CGP>bQ{%3W}!
zV;dR^%}#U*iD7>zee`Zi<l{E(#%iW-!W}2+{oDY@n{__SP(IkLP7jeYA6+~20blj8
z9bvH$eHE*%fs*{nY9S5FdOw+AZ@epA$l9B*p@k>_6P&2axFjU1aNuUkG^CqN*u0Fi
zJDQ^HI+tv{$;8O0lYv%^N_&l=0Z_0Z-(H^LYQ?sXaq-3LJSwq&m=HQhbV%d-VMD_g
zL)gZl4nRu?4TGkd1?xOYeGgNW)A4C%)l+uKpnF+&<IVO5Q`qZbBW~qpTwL5Ybda}V
z4~KV_-!{BV7^2QcJHMW0XWlL5d@#b6*S)+p!yS;nN}^sz-@u?Iu4|K30h=S)Aygd8
z)(1i`3n<QaH|2A!N_MMs#8H+1%$G%*A=jQgwP^p@P414KU8b6B4rrhD=I*%NJT_MJ
z!OjLhNLWV?vjIUT;zgQ612v>|isq#qYwSd#z>Xb4?Cuk~WK)Wpk&%(#5Di<u@<fUf
zNZFIxQdaXVn7;MBf+cbNdKXnJ0*3$l8~(lvMf)ki5r*S1m2KtYizyuNgCiB*46*ad
zCq`8&?9csNB-UYe1!b-Ad>mURs5PFMvt?we0{O?;iRM#2Y>$OqrXD1{jgM!<TEO@i
zBw9GXti#Ja6g%7^eMUz!#e(hW;kzFu=%@fk;Apx7JEe;8ERyCBUTl@kInI_#sD0YP
z$TnT@sv}3IB)efR9nuVnjRTb;WQ@(Vvs|U_ZW4QfJtD_;{M<@*`9gC<x>;RSRS-ON
zXlHu!-W`6qmk4J3D%&|R4^AE|eT9B};G+OcLv!qorh~MfS5S}$89#Ikd4`5G#eG8`
z5}pFfz6HAsY)1pfg}OOn^@HCNTg3q*Uqx4Tvri9PtwC5oYp^x$(WA@AZeZxd?QCeo
z4o%0<W{0NPbq@{n_0bcz-`zcHl<_w#@vHt<VP_u`bsfj?D+tHX*bR*%TN#_R;U6gr
zY6(dSNNg!loIHeLhyn*^1lV1IHcLdMmDcefx|X61*c}d&IN~WDRRj$R&{I<CChibP
zI1h3_uMcbe)z-hj?&0_Qem|f0=l6ZTU%VUOoaS4iBfMmOcwGZe_!c?ztqcspF(MYM
zRH?$?*!Yb4%@CG0k5+fd(FWERfjVt}DJ_cAKq)*pD)=y`Xb>D{Mpe2iGXl|yk;}!j
zI{m=fKS0<-T%wbs*ZQvS8E$hWh?ltN6LP*nUH~p}7R|cr{!lmfw6eZiC_|Dp*O<(C
zln;962C`Z{@dIi85)Kf<oj4wm5mOl4F#V0|?UG)gd307Mb&UXG*l!i$2<wHDPxMj<
z-H$Fb;??P!bZIe0*dF?2%C8kmg!(IdV?wbzSO5_9V7eG>d%3})<mt7=0L2b64W7VM
zJPy87ZMQ6FrrNjA{W|#l1yBGj_4)}8u`AWjc@OVfh+()maCZ$CFZt`j!l%Jz<-z4U
zQd+7(ssG07A7JD2rL>9;RFKcTL_VrZ0?ZL=RBLo&j`=Ya41yo|qd!3rsjzGG+X;QA
z!oL|U@blB&7}TMI7qzY|U;%lNvJ+Ke?Ai;F$Z4hUG>x-TaadYQ=_IRdjz6mGYIV_8
zl}o}r*J6MUPC14ZP+gNd{?h{4(e`XOYXy7hwEi=VfJj2KvL?N3WTrn`#T75DVVb>K
zOA>zJxobHcjv4!%W!|QZ0A0(%*;FCSKB7|zcbsM}m*vkFi{&^EA{eEDa_ua_t9Go;
zhUQX&dtxPcoPDOkc!(~&sm@{awfwO2MW$vbo0>RY%hk;-5oH=RcE8<o%QmEy=v}({
znQ)8g5Qx2)Z`Ox~K7O?(J+8C{SrZu%p_rFej{s;!M0{zV_f#1S?HEKW>u(D96{8L^
z=;Au}z&6%MYI3mm@MSi3S-50PXn!&6VZpfOnVDhmYEKi<mY)e)M}ctQAj<=A9d|mK
znjxIngpwll5^UpsujN%t4q%RgWiUlk)nr+QhKBm@yztfC0xY*)XOAZZ>K|<5$UH4q
znlA0c3GcAaP6rY~?D@<bAFwI3X6sW#R?Zw#9nF7r6#=vIYHlp$;f>JHyl(3jAsNve
zE@BKePR#9@o!-Ggnz+sG4mGScf&zHxx(pdrIq6(*Nw7f-+g~uc#8_k`0C<qhIx{@7
z^`3TvCANHSs&kF*_I}TvIuqOq#-ON*syd;I?U}ZEa!u4kw%%@7bCUx=T1GMHvvWAz
zU!R>yWdFsk$UdB(InFto_izA}vD?W#ASflJJllO)5EHK#7#v|mDh6qgbS53Nb2F>z
z8h(A|t8(0zZygI}#U(RvVZ6A_mk^^EfSmf4IwEG@r&~l>VhPD&#BQhgZRBN%CB1Y0
zFILA=p7(qU|3IhL;}|Xux8brlg>b>#EQY+GprFs=XOkE|1p)YS>M!}F+B!mW?l2cy
zI1v<_L&c3Nw7p=A|7iDS9;vW!mH0=DZra0~Qat<5)z9R<a51)@=yWMm=tc)u*{tt3
zf0%2g7zmeGls6yhih2FLDmFs<$&kZS)QGUKuv;?7aW@Pmjc<vdCV2nvU?gE7k?sjF
zOt*O^UT-xB-AcBl<Z=zBK4aV~V-1eY!gr!!6#J*gp6~d`pC?tKDg>*{@SMr^pFq|1
zA#YOcjMA6c8KUAimy{3{m$K~oZe>W@zYO~P_iEV#M~jL!SuM?m6-~Q-2Zdq^{M1{!
zcJ7JA%8ciQTOvGl-XtoviJ}|Tn0`FJ_DM;5XDG2Z_IF*Npm?ZMx*i7t?m%yEqyn?!
z$#t!~#(ey-t$U>DV|j4#9}fuR`N99mfjRe_+~}a6wd#ZX_XEY7Asd2CYZLbU4M^^e
A%K!iX

diff --git a/v2.1.0/_images/sphx_glr_1_mlp_epochs_thumb.png b/v2.1.0/_images/sphx_glr_1_mlp_epochs_thumb.png
index 92eb6b04c26c187f4dc204f6e4f54493ccbc7d2a..2c6ec380ae2591662c2758e82448df35b8f331a0 100644
GIT binary patch
literal 18739
zcmbvSWmJ`G)CCN0kVZmjL_!o0BqXF$K?I~kx&#I3?iLWF5fPOJDQS>yX(gqlB&0i}
z;a#`qd7dBN_<p=&yl0$q#yQ))@B7}@wXU`1nscuGMp^M80Uk9T3WXwgB>O-Wg+hyh
ze<*RV;1zq_6gLz~_W02QNj2Am^+^|3wWsIp+Xs7(3NfUla4>Lgr5@Z!qo-#z^efxY
z*0jvVsor2^C2z?H#{Z_>Pe*Rqh@O^0k3ozfh0lj}^(RB!<IL%4x=V~I%9pu#0ybCO
z7CO5ogn6c^zIodBR4wYprm+m(ucN&gK>Uq4XJwauzqLRLhoL1_68!-V!-G0mUmS*j
zYzkarh5+LI8)!EIh|~0MN(2x~4TfR_6H5iVN29Jt;izz4rH4<gNdJHTP<{nI@vIRm
z8(Xt^S(<uo|4ZIc%X_GA-@f&&?l+u_ZZ=#bm6UL|g;DKh=|52+MX7ypPgK_q{_!3o
z_@(kf*T?(X+SD&zym)SEI#A_cI%v+vS+{p}{a4w^WV<;p_27#5G>bv85hhd2n}*Xr
zocruL!9U)v>=`KesKO$&WSHEGw-ccG{P{DN$6w3ygNBRf<mAZanMRY+XWSo`MvEDP
zi0Bqt-jKAkwDhIk$3`h8iM$yyzjf~(xvxJq(c74q`#;{Zn+<)5J>es~F7&|J`Cfm2
ze@lBikKOEp@87>u@>|o0y6@57xbf-|Hepm;+(RRy8+LYf8;kgOc(bF$#sPtWsr@fs
zPS=Z~`1tr}1nmRn=jYu6KM+%7>vx-)`2}OOzT`zGCMNdPFKnNlPJZ`}RNrHrub}?e
zyxMX3RT@j}!Ia06qtM^Y>0ZW2k#8UF8XxWrD0OyrJ{!){^4#fU_WV0$+S1ncHafbg
zv{&p0--vE=5S@3&$!3F6jq^Ge<z<n>-~OcJ<f@vQ9Yo@%67YZ)BL#oNFOG<CadDrU
znCu*{77k=7(b0OW-Azzrw)*uo)n#+abFcs59i8&9-@gsXIrY2Vv+KAnCc4y~;^Ntz
z-;{XZKkq0sX-q;G<S!FWz1?=rhM1BvIE}?|bLx8T(D$7`KeTFH?;5v-NfwS6^HS#&
z6fB$_OfQy==%;&~{Jo=962L$083QZ2wNbOVvk-6dv(Cc>Zq6DTf_4c@Sw*GktJy&I
zmoKy3{L}OMBL-PM7w27x!f_Q-?x9Jd9<z=@Rp-a6A9>BLhNKlauWJwI>$GR9q#w=%
z(N*sD2xsgwaIjsaPiuNY8u)j8oP?4RN5b7*=t-7ht9h9b_s1g5J1ilu<T9kv`)zmT
zA93^WxXp$0E0bczcgyJN(kw482LuH4LA;?3;_3#LTb3QsmG$)_Casxo-^TULEvOEO
zWz&G`tca**sNQv4QXVeQlef3$&dA8POwHR-N*6{<A&dS%_ll!X;>mHX+pesl;=&u|
zB>G#o0<}s_s&v>w(tdAlD$TWpe-w0JQc+RaV62Xy6_s;x;)7u4H6QFa^9)I=Y;JkU
zo5q3{8yg$&`t{qmxS;-*jt%D@*~6YSzb<y&Hd^RSR@$7Z!^OebYI(@eBF%_)gZgGr
zv)`B{R-<)AP2r^n4<DBLTzIP&=yp;VcuGo32cCpZT2~Bwenf(GnX-|mSEPBVKm9fb
z2NOiFj&)Vw=g&8hIFN~?ef;9Zt@MYHOk!e5f%p_9My+_q2b;YqlK!qMIa!r6udhK^
z5ml}h)NoOU4-OB{+6qiKJ$Ue-uiQ#U?C|#`h|ak&BH7?j2_ao+|G_*h9_#ue6O@qi
zT1OPa{fTi}xA`mZKeFcLtS-}D{0GxM;=fnag(k`NcYbj4*#4HdXZ7oWq$C=|Xto-w
zN!JI->3XlRS~ni@P)u=gad^OPIIu^s;Vc{+3$YsdsRj++meci#+jH#>(_RN?T=w&_
z2UoPR_E$$D=jWfh#KjTEkqCxq;G~q7zc)?xdLJB&ljQYRE3($a%}uaZ{6b`Vdt2ma
zK8DuqF+)$Pe$e)@CI07<lDA=DVM2ODreE^&Gm47(CSCM&bmV1Zu*k^BlI}d=CC*jP
zzrn*3Q*7MsKEHp59KW#sm=zNf^K{+DXSc%w&#w6BIsQ$4{<y_tAKGvk|0cuVa0(b%
zSeD`_G)QTEPVKn4xizcoZ$WwxIhb(x&~4IX!h>9-`x9TyyIUbxZ6>8d9!&0D5V5UB
zO@>?@S6RMM@FtLVAUg^{w^_SOD3cyNl&di^cK#>M;3^G`f`Y<j>hRa$*Z9-=Un1vr
zX(*Q>l!EiG>YrKrjDcklA?*7Zs?T_-Z;7<L=w^=m_8sy`OYjv~>0cE#O6uzGJ;paC
zYXsf*SmxRz7vZ8<^o)%Du#719^WG3LwuzJYZWHJAUrs#*TnqtQq_J|+s;XC`qob!d
z{-kYnqWaCtH1pL_dFmF4#)snPhsHa*yKd`cBcrf`@^Kuky}d-Ct>~46&4Vv_H_r0a
z+04w$J}5B3Iez&3`AtY~qwCJS^|u*X$R1}66u<aEE)zl1dEI4VX5F3xFZps5hhBA&
zNjLScGK==i$MKZn-Xih*HknrA<qDs8-=wA8C@CosfT!21afVHcs&ZK5_B^z$KiLpI
zur%<6oOTYi;L`8K#fPiI`Be*_ENb_90*EzAmX=-~q|OrfDPeW6S4>Dj{2}FLMAw1f
z?0Db!cyIZEjLh2)A7mXJc^`k`o%!A552^R+wQE0MPk#*NJTV(DUl;6MG%OvPU?+oh
z;msWiQD2QQsM(*5dH76^b$6kgk%7T)ra8!?hLnMWI<)nMUWu42>;)I)ienC^_E(&I
z^&jgM(;Kbdd*t3bP|V6b(bkrG`jpJQPCsI4=PqH;rJ!a>M@Pp*yNTBi&>sZ<cn1Z4
zaImk^&iKGhIl$)jojZ<&Efd5?^CH9yEp)<lcv~O!ZW3t0S7BC4s=e8(r?0Q5qSCKb
z5&Ql<)VC*vi&je)_n_Vf??PJDDtV53ak?n(www_++Thdh(4e8HXe+^B$8>kMSA2KU
zWxC47XS<c+b5>Te)AXMoaml-uQGfpYnO|5quQDnm{uy{HK!6j@-}PzFT>>T1eNwn9
z<j)f8Nug@zb-9->S)lr4XcX#WU}2S*53xpE7nVsD^I96tzxFVK29C2gJumM&m2?>>
zo0{d8RB-LfbYcmkqnd=YA|1#3tGM|1#`7J~@7}*hKJF-Voqy7i#M|4O@-mk5+Nh+O
z8Y$G@`9FW6V`HToyw47ovyw;4EGUpjP)Zh~5wP`r^$Ptp!8I%iIXOJYyioazJdf;I
zSy?H0UlPB0^Co-9e9v9f<6y&yZo@!Vw=4C2P;h8yGoY@R&K9VH*^mf6e-400ymIxb
z6d(e~0BKKi)!}oHQ~M0tMZ6!w#$XveRKFc-qEm-Gkf<0a<A)`54_|cExlH>pB>7vn
zZrx;NCLt$p1B~!d$cZ&IHMJ{QJQ?D@^kx4ILK=a_Aq@lMoluJuK5_?MVU(#HL3wP}
z9RP0PHTxM5r|<q|G07u>Lf_SI+`5J!y<Zlh1S(vHX>SrlsnNZ7tuk}6nVA__81+K^
zZUh|6wua*3;YnqvZbMDwaosW$J6>W`V<q$R^8;woQb(%l?Jb7ok5)Psrk<N&H`k_+
zES5;cW0KPUvd_FMLB#DXWEmdgw#)Tre|7Ni@o%%S8N&fm_`v1Y8N<BW!5A488`}!?
z?gLcji{p_7N&#E?)saHefy~FAyWRXql>KO4uKaN3CFEiMz29tggvY8_uqxAv)Mj#Q
zKW{wfGS#c*8N;!X7Z8IN&(=nZF)%T!PL9sb&T?{co<Y4-h`$$pc<72E=g^hSQcSFb
zH9)bzW3+~lIj#)8nV8UpYTo(d2O~H4TR?E!mZMzXnw#H*h20btO@!U6?!Ao5Wz>Sh
zr0_xF*)s-6JIHq&D>Zdk8@+qadO{Ws3cLuoO+{5z%EW|8F)L<g#~v0*JO4dg9ROly
zlRtK6SJ#8wA)|`%<?#wmI<LJeP_`|{N&+9!dA-Zay8~evlGa!4WI^lt8;y`otZQwo
z6z)L;aT<1wKLV};u;ig=mW=LuK;M;JiRabFTT@8_oLfKS&xG?SV&z(cuP{>HHNv=d
z&(iSx^az&WS;ctqn5CMAM*5I>|FR=w%Y(Vo(^CjXr)g&a8aPk(5FS^rUnh`obrqPb
zb}}9>x9a+E*B_u@ve`gpvBe0-LU;T_MMWqVSF#3{^=0>)iNtS0<!5^QDTM`ZM9<}V
z#iaAKd-35#MO^i#JMu`y_a_p=X^dukh;oIibA410IbKSq5%U}sts0%NML-MyN__G=
zjmwTdq4YyB(@ic-Ljdi-vSTmP$g<<ci#TtuwoW!bXfOx@>XX<bcgw8C@4dgHCFSWU
z;_-Lw+1BqS0UAP+?oZP3_pAiGPX#0;CBvxsLg1nM0fhZ3xBAiOcS)<xoe$#smVm$q
zI0td?NIQSWZ3gPSJV>Qy079Ddr%A)MU7@6uH8iAmSnQEb?@t+64h{>O2aL0^QRR0D
z8(E>9VI3Q^t+<BMK>jJ$OQEe&aLSC^BcwA_hqN9HS>Bs-6f*nu^|r-u-b`*`J=AuR
zSh>LF8C#_`8rY8!eGm3h(_Wc;^_ojNjtAE&30b(}yB(MM{8CcrGZjA05)vyFtgKma
zljuQi9$5aIlH!}4%@Vm+6|caAY`U4*ZOA%~>%Yk2yW8Nr;}R0e6pjp(ypX?)bqTW0
zEphSWa;x#HbaYB~c6R~7-{9hkf?}LLusmAjzzpg1CI?3Zpray}O?`;QN1^2GvI+|G
zutG?a1jtUvWkW$<pB4ZB?5i@M6=<QZ3pvu$)1!RX)+`~9$|@@pBMGsj<Z9{InppT2
zEM{;>2y&-<or*NooC$VHSQslScF3gyiHhZxV^ZxA*CBVLRaSmjSuy`~&q@x?24qVJ
zLwkFBcmU*!o}C=T#K-@rc3MTi;lz(vQZlmCk=4mv3F==8j?i>+JV_!X-qs08+X75c
z;<TzRCns0AS$_g~BE`ewJ`wTqx2w>Es^+LoxXy*^It@L=z`z(3bXbX%Kw41_-{fRE
zI73q$&1?k;{j|`;Qp7@7ePh<mBVp(JOmgo?2=3D2HU=3VPNc6zPcy6~$1jJt_wRR>
z(j)b^MDV0l5Cq%N(^D@S`(_#-GZZX{mOqe*eOK`>ATu(vvHcL`PfJUC6~nBg3TXhc
zBBY-L0lRN!hwxGfgfAW*9%>|P@ATC3=g*%kckV!o8Gv+*@82(2OT#-~t&dmKFz*T`
zD(>v;bO5{>DbU-%4S|M9)Z?%1QXfM|NJ!C`CGClB!E^3ljtBQubg+8xMR-zWh}ue%
zYoxLURCIL}AVV=LCNx502yI|wPol8HYJLT`%Z4tT33+vOatP8?sHJcoKL|Q37?x>&
z6!o}QTwF{e?w#<4gt^3R*8~CMQ104%(Jpm#bo`!+6wd@i1ObJlYovDqWQG7e{t4Sl
z_g`P0+4Q*(h90oVyzJ_gD^2p8buFhyyN@0}M#{nS7ccm-2ilIgkKP4Vt|bZuT$DCQ
z^xW&CUOC_`*OslNwZ2%(i&x@&H41n?BsBCkJNqAKdw!=!iW$Knrx9`t#wB6mvY8So
zs9K;-a$BH+4!`+(EL%=q-sil$F!+L{4vUKQM+?`a?%!VqOn_h!xXLYhdS9Q@IXXxa
zwBCo$HtJ8T-S<~o;rKwRH|~6U>+*FW(r}q($Y%=aGU2XUP1v2?-7lbC)IvK5mD##(
zU!4kjn>d*us;f%@veeRG4hi66=V=2yy>4hJvkM9`;YhT!wgNFA`}na_@~={x>H5Qy
z6OUqd29f2#+No;`zGc*E`)eQ76AUklE}B3ag7iuVtbyaEB!0#Vdyf4((Pb+2ar`~#
zAR(v1QAa^nqzrrc=n*cv_E&o7r?6>VeWCX)0{n7t$F62lQC1cQN-%sm03L2`Zb(If
z4zIt~&7s_SGGt)+=FOV{09tve3E)tF`a}&hNK;c2p!HX;UKM0x64Z4vUwVFVepY+D
zlDm<SYTA>qOc)I?r`%>bB8}yA`r?d^v;Ob~Bz6QYcx+U)*L}$()=0>9j@w&iClB?A
z(orE*U_xNj9<)n7XR8LDe?R8_0m23Wgb+}9x>au<#W1NnecGCp>>Z+CnDzDRU|sp(
zav%;LH36ipKLbkQ8EI+X>gHvkaRid&b4G@Wmew1&jI{Fd;kuO6&gW?mK@X&*@A{m3
zqNAfjFh=b*dju;Hrg7?3zq2T;d!O?p>uprjZ~b1n6sOf;k?j@|k-fhAu#n2|*CJ;$
zk``%bJck!!|Ih|xHz55g;6l_ZfB!1zLs7DFa%pgo9oI&$*mn19K+99(vbm7tv5^Xp
zNY`V%Y{F?o&vLZLFCl^E^z3Z8KOI{`&xs5L&C~Kg)}?~s4)ODCqS@Km4+3^KbjmG}
zk0B2L;j>XWM+j>Tt?q=|Vj={^?pkSYb?@%o7vD*N%c|YN)pPSK!BmB91~7|yIaTYH
z$S8<{-TOXK<)A_u2(1&T^s}FzAHgQ;`<yu;jUQB3qRQ%8B-)|ngF^p%%42i?@Z?Gw
z162Ni6L(u%u8IkJd@3rct|ZZT9h*9`^nRR5^*Sq{lb~Yd?;c9}W8Hn(M}M&1(II=V
z@9T?#2aTAnU4UY+n#Yc53z(~>aN2z}AH{1u@c}TJL1PWc{!9$oEVMp=7g0~2K5d}t
zU7D=nM*ssfI0!cbfMMF}*LP^6Ao)$8K@>n2-UI;H$H!;+8rkd(Zt8HPzfFe&vT*_o
zju@4Ht<>Rj-^-L-zJ(3vp8!4pl<IhQ`^n+yZZ8#pK%g*4DJbRuE<o9M^ym@v3-*Uw
z&tU72vJMPD#Yq+H$>hx2<Yb@L#4YJy`5a(Mcp<^{cy-6~AE@$u8}Q_ocuhp72+z%?
zQSf}C(hjyd8qVCDt$?inO`cXM7L?SEXvQiaqyzy*0P<{KcC?57H_4&O`J?Vl>Z`GG
zPZ!r*za0qBL|}=ga4ufDGRv(F9oFN=1aJZgjzd@MpO=mSrn)60^veqsnLzXaXNCt5
zBp@!$JLI^;bb!8A10LSLiFTvq1qZb8A;QtoTLfZ)@J5D!&6xk!^l489H{H*XQ~Pl>
z^q_{ittYSX7#>_=K(ps)rP>;*D_XZ2smhFt2%^jK8=7DLj?lRs3VRM_g2b;C{Wp{R
ztTz2+@Qu%j!c4`rVu_`6%|2u9cw7zgzl&jCet#Ax_~oDV5crU(tZ#z+<GXi~QGePQ
z>WMyc1hDTmGRS|!XTX3z(RoJwfsMX^lXn&KzCqyq+(zra&M%~JW=Ni2p4ZhT3^?@O
zS{G0Gf)a`dEa!ivuQ+r&fS8^=%Hc_lWIDDnrRJBW<)|%Sjd^5!PosTtiiWB=fHt1E
zDRCa`gE6XL7ze8n%yZ=Eo3QG+4wRRpP_M@Y{tb3up9R>GX&w{;rU&X5DAadIL4pDe
zd<6<AQ_uouLj5IY*WNmui!|n<{2=ZlHeO-F4C&J}$?dhTuW#s+FoXFV@?aXTTLHwT
zJDvX#B7j+VOnaUmY)s}EG)&d83kiKf$R135@+e?Pp#gw0k1g!7@f-*$KsI70Yo(=P
zHg$^Dod5Gwm!p88L=F`-zcq50M{8UPJ#+w3LSn8x-T8q+f-X_m<tI?401+yIJP>eP
zit@OCE&(8HE3g1sK;0%2U1{Kw@cXqBx&_Qa+RRob#~r}j8znzq@<Q+ljmPtvNx|g>
z>}D~vw6s`4W~U7D)kmo4whs<WM~j{T+tc~{xZB~3A)GcW)sVG1<p4N+f^emB3GH&r
zM?jmY=f+OfxC}s(0i9T}<{e-Gh^eW+7d>l!3GfwCAJgsIZ{QuqW!hr^9RIP>KUen=
zs0u9K?A%<h(BXNFn)yhy<`6>n+c5#Jf{^F{BX=7w5dpUEg@oB2M#a<d{ksw17m@SB
zIRyT{d-u*3_|l)Hrb=*tsel8AE_K4L{ko~wl=$Q^O4$OD6lU*umf+_?o80x0CkQzH
z8;p#={@3pPl&1`rxq9^~U`8MY0A%>7ue#%NHk@*|wzdM#X~adzp?{Z^?=VQ7;ytm{
zX^0XQPGxlxY{y!?*TS=^aB9Be?sMw!%${?KSf2okr}_W`t;NOy|2UjBXW+}@FnCL&
z&wCyQ`Da{xCoYKMgk}4H(Q(A}`qeB-KD>er1de1lXkuXuDJ+ILTh6y2;(2aL^aR}<
z+#k?g9^!^`69=b*$e1govP}}i5!6-s#dgY-m2Yp!K_sbs1b;?#2|{~13MEJ<B;L33
zLK+@Iz#s0i6N-BBrXrX4zkAf9Gp1&ajz5Le&<pQ1KvVgNjvNWNI_E{l6SOqfnyWw)
z;llOVw$$+Fdy}H%a2TjraHDp~`fwCl3;2rR_V8~03!I`)jV3$)9+m_iHjaUqSBNXt
z{r^5Mzqt8HS(EXh5iSG9;nr=de4ySO(vlY(g>G|lwp&+_P*J_n&Tm_GR8>&{f><U)
z^$Hc$vY5uPbowrK{uT3Eux03;yb^#*U1tI*01q+2*#VC63g8@+_v!XSq$4DiW`KSX
zxXdIV1`!0=S7xCBjZ38Xxd5<#6csFIIjCrkI}8CR&#(9v+q12Z!owiHQviALiO*tU
z9L~nKhKn;B@;jOmfUBXw`38OD;$k}i|HM|!Oscv;<M<GEl{N$SM`aua6dgenl)8S9
z2jDJn?3frCo9oy`L=pfG0dl<?-wkRE2`z08;9G=Tj1<|yfoR+~lb4rw+o)P}T`O)s
zgklY}iBEk>7eUcq%tqW{>W*JHxyhJWXE$nf7y>Fqj-FGzhsBw(?XG}I;?yS5IMlj7
z8_M~=9d#q18-hjv!dms7g3tkA(E}m_Jd~=Ma|nPrwA<ul7jqf?cjHCMnn23yL88>j
z#|5{h0*Pnw{=~3H!Fd}lH0Xu;3(N-obz$e{z}l-leX0VQ3|zSz&MYPOa~u@3Ec1(t
zPxSSBfFXPn9BeBdCzH-_=T2B(pEAG?<(1tGy7B96-snxmQB|~WtzWMixLhA*1Ll$i
z&MxRJ01**U1lDO`CAV<l2WP|Q?Cf9=l@OA-!uooo*f9$>5$$K_0FXTdDEA2{Pe{QI
z!;ASEt_dbN=rvTzRn^5b`!72|FT9lYWijr{!((ewX~_)LM5pm(4vsSIa8OQENJ*uS
zCjEBYb{C?fq8hhmnlE%2w64wU)}#&@3Y3s{z34kqtb7*nRVsjZ(F$7gmu1@44QI|a
zaXS{K7injg#00VIe^q_Ebl6=PESGUSdBz#6jqgPpC>Gf`JKkg+nC+ah(}|TpEae)Y
zgdN-)ygFBnYH<uQUe)sh)l!4&h~&7}+>T6bzNz#6Q~?y<S~>Lj-jH=dR<ilcy?^KA
z=~a54_dRs8CsJ((|NEBDVpm^F^z<6${Pz~VtMvO<28Nt4)HeuiG~mMejA*KKGwiyH
zvf}44|8hlPG%AOvj9mM2Kvy_7qaKc3>swS#;l2AaEn?YSyZ>%P23H{)qki?Nl8Fot
zIBQw-&-JIx4AqP@XIF^W377(i#iY?cPpS3InhO-una}f9NCmS+Vsr$)bmLP?_ML71
z_jDqP=<`wmZBpswwvLJaZXLO+=?jge^3$h(>g&t~nB?R+cMIrZv91=pW)%0G-E!uG
z)TKg;8wF4eq4JzJryg5dbBv9R-O;U#f}E>Vdzvv+OQ)6`@HYLwdwgeHyyONf$OL-?
zoFJgJfHS|v#MDN@>0{RF=uq~+{s}`#cttKG$;fS4UxfsLXrQ}DNJ#EOlL80ptMw#x
zdjHa!xQ4HnC5Z=G`RG2E_9kYkLUT?P>G+H)Tn0jog_Dz+k1zK2lT0qB6*UE>0YN&4
z*%n-AM--){r4vsqEG)(ve8h#F*RpvsAs;mXvWFhJ_W9;q!mrCN>=s6%2PcpxU$+_i
zFF}To%2zLS-#6EH`$Gn;52!1qlLx@*AY8wa*iis;vS&$;;YnNgHLXfp2Ko1Qp3Szr
zc^4N4)cN=M&KN|BBw<zr(wH&HU5BH1QqO<MtwgAhc=r2DF=`n^;3t_1skOBUEiDhs
zEiCR*UWUs9^^*pQ5>mV1y2#xR%7H-Q2J#aG2dqY5g%N5Qhlt4Z@7ma9T9FUXVSTG>
zNMiv7Cr_PCJ$L_SZB?HDjuq37PdE$(EVNXY&;XnZFZHEf0=5@4U4(*+VS3zCZ3CPm
z6l&}gV37eBS63twCIU-f$o&x!j_EwN&|s4==|MOEXi{~+$<F=)`erqC^%9Q*Ykl|S
zjL?gPuUNsW1cEwE&(ONZ{8gZaT#dv;Ix#l&yx&VIBQpgDlP+{X?uf0{WBE6UimB@8
zoWwW%y&pt~sJB~PJiWv;G-3TOKUY^%qk#Wa%yQVg1_S`CLx^_1$;L!gTmjin6Uxut
z7_ped<UVHl_i-3JgWIc%rrZ{<LvnJ3Uc(LaXg9c#pxtbX*1<Y-V8D$V^(Kj0PE<zg
z*ST*4tb-m2q10XBtyH4!ywE9wCW}Ccdp1*DQ*|C%pyq?5p1td7UbbrWMeU3H0oFBU
zzq=0<xo-tj8oAz)kdv23sDWqCo;hwzPyz96Wwow#P`8{Jzw|Q$|Ke=Zr)qy#XL+oY
z8R8Xo0})n1cYtnS5p+TZ;DJFsvK_aoC^l?DfBW_=rKtPYtf^tnFowQ7=I43mb6$bO
zX=uu~<?7zwxELV%Rp-GEO^pz=^6z3}qZ1Okz%S5mE;=0AhA6wTvWACSGjR);&UXUx
zcW3H{3jQE@|1!{WQn^F+C+lMTrg{34JhUf&ht11G{*D@hFb1toPJVu?b%h771V<J5
zCBsQJ+a3CrgI(lA+dXp2!(Royo)P#sh`FEX4~f+CH0^ra=;QK(F>v1a&BfR1y#df~
zPm50s)ftX`cp3{*IW#q0k#}*DeXS?_`GV#FPXCr$-o;X(&ly{<=mE{N&xI)HjA68*
z#|gU<92VPW&lWEv&6olz{-qMTPFP(i(rv)6J_KO{RyZJtzfW?3=}`)i?;1No-(z*B
zo8BB;b_7a-cVY{*73r9m!DT_RFQEAtQouEPxp8@hZFeZI!{-0;X<QgaM@C;Q(Fe8^
z+iAK@s8w;daiioJ1jwmx{cl?4pn_K<O#?=gqRw~(ET;-&;8M8oTE>tei(*j7g!q&O
zymJ34eVm-7i*gP<=g@d8m|AWDip!xyPjwTQy%_$#S30v({z!C;V=l<qP%r{Pm<SIr
zn8!bAp32qz?@iLoX!f`H%;$tSWqZ{BJ><Xld{(WAXnT8vd`DUIc~$vJtPny;=?Ekd
z2Zus!Q4KX;U1|G1v9vA+;5KcibGK7nO$}ktfB^vQNIB68%p^?g?BP)EfuF-~1X@YJ
z_BRSRKTt~h^L6-b-g!CusSx+Kl~o#Ljq5qwht2?PtBO3h)oA8uF?kW%cF*&pMZ|lt
zVFkiNoyP$jljI_h`VY>4Cglhsynch1mo!mvF}%bl2v3{n^~80<=w`P-VuGMvOj+oy
zA-^IrvO<!`NAT9r<__WcYUeMMk6X_{pDvT$Ur9Fyt^a>T0;I2m-Ksir4t8wG7qq0N
zu8aE+xmUNUP`7X2W`O%ZmxUsgw!`i)bFQiDS#LPsFGSoVEFs^(IpE)FWM`9`mp2cD
z*R!4kLC=%*iYeUaD9V?Egb^M6nvlMm7twD5T@Q>E%JSZbT)9koagUgGez_w4P3TQ%
zMcucynu!pB)6TBgBVNCdSy1pJG=d})6hX~1Ta7h`WcgQS-J6R^ZQW=7=g}nhpeIaG
z&pm>+P|$IS7?#KcnmvT@MED@ahY>}<&X$yxB0Ud+gM2Pd=&oG30#XuURY5SXw;1FM
zgr*s-u%T1T8W6V0`y(MxboqPaeOLL-L3)Up=-x63^h=lAK<Vu4?ag}e<Gsk~R`b%n
zJM=qfvPw$ry}gl8Enr&%|6w8ENpQgM11fN{Ay>kFmCxk<AC+$RnjQkxqIM5Hh*jy&
zs-ziWk+~!OwN}6m!SUe&MS7F8=unaCbz}C?l$#erfCdnR|0@8mt9s|_@8WwFVE#-g
zqn-UkWW?ivfc;9ttMo~v1CxBgNeu)4;u$jrwf(tc_%|Kan9hHBfeV*d=_hrHo6ktK
zro8|ZI&NmPSu?BGRXs8KUO)f)P&8`$YukDgCuxMuzplbg@}`6cd&(7F#aE0Lb^p=}
zF<j<J4uiL^h14^vKm-#6yTiR+tB**z-Frv7jbI-Yo2&Fw#8cm#1k0O{3qPoP<m>7$
zL&RSAI*d=bA>%nTQ>!;6YBSt?vOAodUf?pcypTn2(fPEGl77#3MM}3G{;*XXo!Z5>
zi}c@N1Y6qd<2TJSOG37q7p?}-9^HjokdEW$@!7uxN5G3m=q>R#w54pH2qtLY*lE2*
zZ8Ie{tkN*FSNJxEW{s1<Q%0e-%Uhl)7m=7hchYBQ`P0gLY5s6~4pGCv%wklmxnemE
z%>rVxxW;eoIIRIB@VHGwH*iRRL-ri2C^F47lvn9ZYyKU7@zzCjD2$&F_7pS~+xd<w
zQ|_zm2luiD-gG{ng)2jJ5N({8f`p}_a)p6`p?2#Vegp3H<OPa_l{UHm$xg|$4rp&b
zeta{qJP(J_<n(a+b7m$8wP?z@Lzk(z0|4{`yMzYrBp^?>K|$GpHXKj@wBJIj4$0nO
zN-7rg^$n}CcjPnv?Z)nc1DdLq)+1miP(q1>sG7PBRB5+~g8~0X1z;`1WEfHB=jVu0
z`1j{eRekTH7fIg7W?~no4twrr8Q%Cl`ag1YO<C@I|JMZDO?hr8?SL)j`;Q-J**Q6Y
z_^X;{cp=$XKL&L%jU`0b6^wi!SUGQAqoL`VKL5*)n)10g6PlUhN&8i0lDT+_Q9N0z
z7fvjdK#`0e1t+yHTZK{IYyYXeg98<)XQ1x^4d4$%a50EK?>P+=LE!*85K((B(+ETX
z4-29=;=uwl&c@<^c^R~imk|Mt)Ij%4J;P7ke`d?2&-B%QUmw;J*aBDZDrnX?vjaGK
z(U&5Lq=Kz2+eSV@Zg6G+!iALq&1We!2ze721sU$Y20^>$cmmFTjLn~3;MD&55X2r8
zbOr*Pp7Z38KuJkSRUR$GPga1dWTSox(24usH7!#gkQjgxSu8&0c(W9d!YA>!H;VVy
z_z;|Lx}7S?JvMb^-heXS|0&N2V6!xM3uI4*Z{2_8i4J1*7JI>~6)6^>wSQ%V=#lT?
z+b97X8{CJ(|9bgDsB-l!#5i~L^ycUlgZ_Qb>04;C7TN@_NrF<oH2yoin{XjMySgUp
z_obwG44z3C!G+uS{wAUfXTtx^P=h>r%SiTMf!6YvxPSLv`w2cn08ko-X_fVc`2i%@
z|I$Q43`Q`g`2?DyUsTP1l~E9$=0-T7wm!i_@55%jK;myYHzhout};Y5j60>>hNCD6
zPxr+RyAQi*yZc{5(Ibc6qJh~i;VSan`d>?Brw(tC%XkGz0@|$nZ3NM5UxU~3hRT%P
zFU#@#%Pps`;okV+F8MtkYU+z*Qirs#R+&V;CUw6%gp@rGJvX33daIN~0&cZZ+Zie6
zjfqagW0PMowK4^q29o~As-4(i&;RrYZ{FnOj0Ckfb;umNaKE8seg@u2-xHfcCDgCr
zh(7j+`0DDqIi#X)W*zz;asRp#FpBMh$)eb5oRg;n*sUMHVRXPzMhI!dOau+Vw{KDi
zQJ>_w^XSHn8?~Be(&W<=c|*#Tz5i0(bulV>@rzR)Mwze_5FQZrJK5)atj-EN5lBa%
zm?(7jc?U6~o&x>^{{UDixIny9$gB<}7D_DGpp#Y+ITqsx@s%N-)H2DyXYh<r!U8aW
zaP24nc3mc=9`R$AZH8PZ=<LBonF(LA_Tu~mNo2o%X(Nox!8w>oM1aN=+38@sqhCu|
zr@uMI?{N1kEqeQ~|G)wgX7IHy-2^sgZ_g1GK_e(-X?X{1bXfzB;6Fguz4RNJDF6c~
zVp7rvAPs}w0~B9nG8@n=NXi49+#iZ7X713+5x-;Vr+s@TW3ta~NHwzE?L;AH8*%0#
zJr+P?km7*&&qOp%#HDwBc7n78NUetAd=uai@Fs|E0zF?F+;_4!Lp2A4m8JdTAEo<f
zec9}kuk>Q@Aod;}&Z}sG^3e5(FBEj^Uti6T9uy&XfCBsmnkeGh*jrKoE-^Sbn4X0t
zxMrgoAM8<5Qs@9(r@Zkg;-;pZzKk1ROBwMm&{~1h{Q|ZO1-f4*q@ay)5EfhvB7=jo
z9X`i4G>Gd}J8r-9qKy-vc`tf7^D0j8-oFMrUQcuO&L>BV#49Bg|IR4trUVC_WVoI&
zLrLBncurYgU5-KRk-WXyM8llF$Y&VPW<$$q*`7^BJ`@n$+|EkB)n(vAn(>JH9c|#w
zTmb=}w5Fx=cZCL;PiwZU?}kseQ@@kfl<G&4NCgkTiHn*{Eiyb)G079``kSZ9<Xx8h
zGd(A}KKZgU$-L!#!6NiOG4W$X4&oKH6>(pscoct!)0I*km{FJca4mbEMcZ3@@W)<a
z?qX?NbNVQ<r$s&d!?wh`PHmxSL+SS*E9M|+Q$b{t_4!#lF2jW9UzR*Jt&8F4(}RKn
zk$PAD%?ujGKBXYO&zOa@H6JayF4E^-3(gNy-+j<>)j~)jYX!aj(30&;hwp}y{5^h`
zkS5P;JQ7w?H5S{IEWE{>1}Y;9%a$S9XXngRdlr+yWjZBQbs7#|BC}HavsH3e^?A)f
z#iWkaCSc`DvA?e9nL6^6b;L@EN28I5Q_Al3YTwd@=n7u6GykjMr6c!%%FB?HvL*b<
zWAW|~GNUOn2bvJ@-8J5N(&fnMo%o=^kW1tKibL%)HJ00a&wkB6e-?#iTtGX17h4fC
zAzPW$7Cj`*{tUzDsrl4Ta{(>$ROgr&3-rrN2RV1w?bCiAtGal#=c?qWWj_TwIhl4i
zb=k_GbiP!Edb)a!?n%Pb!Jv|&!QhHPK{6Fh7Uu>^@N73M%FbXU!98JNaMw&C|LD*8
zz(Lif#z>w1Vip#!&<M4$_!;(Jb~Jg+2>}XArjegV+Kfx5J?D|>0;wX`q~b5QnX~SY
zyfW77WosdmLT|xd?_f2axLE&v9MOMS&a&l+!A6GkbNb$v4Zm8Y)NW+~H`MEf2%Z^j
z@;v#)fqbp6W-CgPAKwV3zcm{dASMl3{n6uPS6OXI$}DibHr_tK2^(M5lDsjRgiN8f
znvDHMn5Gq><vn5bn(H;q5#849&nk=^1d22*KipC8QWq{$XEVtS*A68sZFQ;{HgC2p
zo^cdXPES!0?9V103?bpeGf&7SWoFfN%1$8MqbBonCqonBgMa(Iej>h4J#yyGcP>OG
zLr~!SZq{7hPKb~UTVTClJj8w_Yd7q`z0E`1i;lHu<kbM0bWkHP4jWS??Is<rpGtwe
zGHF1Ygv1k^kTxnB|NL_5W(}A77tARqUPTA^ng@6j`+N_|>jfGxoI}~R6tUknJF|{n
zrdT`*ti*v6q8vWd(>-bAYNDy*NX=Imx%~b7`t9t$Vwhe`63GvB4K#C;P4s#rHMbnd
z3d1)#`K+$(wk+1Tt<;cso*$4OuJ%mweLXh3>+pAx=WIdcvO?JGc5996t?stjhJ%}@
zL^5qOzSnI9nl?~1yMs>5qlt=Zgn`=e{;Z{mtf7hKrDt)g<Rkk7;*Zs_)oVy<o-{4k
zo_!Tg7-d&nV`6p=B8hK))4VJ~#;c7UPW|d~fqaUje2U6y{l;-llTu-mQf^!Jlew%X
z#*PLfhJzMcJQS(=+w{DvmnZ3b%Q&TU#h1>A)yO2q>{xm;1y+fv#>ArrWgkZMqwzhZ
zq#@^uYpRHu`F-*GkX&PRu915S|B_cq?tU6yl6fbkPt`_!@79m~(lOp~C!x9cg{oK2
zkBo_F2u8#V8Vpz&IMAMo#tAgs3DRB!D;Olo<{+X2=i5F>`B*#7lDpmo)+9k>_7y6m
z2?~m_QX`ehC{}Z;&&k<oI=fth4W;vsRAK`Yz}qyZ`=kEdh_;}8$tP>O8GWtWt>!L9
z#ll6SiCG27Zgz&{LOJE5+1%qfyyH3C<Jn?!?n6`zFUo4L+J?+E_!ExRToQ6~3DnF9
zR(@S|WInjk_m#crt`&|@apLciOBjEv<A3+zygGBlI9k4|W7TC)7cXnYuF<-DWaolK
zw0}86K7h>Y7sXP9jReK;<;Mdzi=O(Gedi-CWU>9iwiRbBG*q}DJQSPNU(+L&LxkR(
zBfosNL-W$QwY^i#bzL;kHpx)5l;J9ECTh`_`vvN6WUyJ+sV3c445|;*OefCw%S+ci
zs)dzx9siHSsqm<IXOKH`;f_n(|9kYhqJnyRPUz%W>B68_nL0L8e2jU`rxk5{zD(^e
z>*nTpgysrmgPN9VIy8ft>x0_YN6A<U%8i{^0x&7x5FFf(ynf$~TE+qstB(BstYMhU
zB|jmYVX2fhnJDCMxu`bpm8{iziEx7Sfmgp&LgDW=6DceH)bfwYV~-0M*GYxd$fOqB
zH7NO(=kf4EJNMiDn-{7_^9MiV3nb!6qG2gpWS6lDD3dIi9=_;$n1A*{K{j8oecxd{
z{p?R#e{yxg6{C%D({bm8vn=b}-qDA-;!Zk5)cI^QL#7daiF1op<$C5G4ZdM?hJE4;
zwU}$?gHB%pB`;nT9g2Ip-p5C5S_Bd5=}e<akBg?0ul1>u+Opy)N;l1@>0&dm;NkPX
zC^2kS`4o8KQ1ZQJ@(ppd1=`cejnAwlBu}Ns)Yi`vRt_27Eq&{#7`r<j`y`*4YkWv^
z4eO5cb@G~5_f@!-zG6^+#h`S|YV#b#SW&}BsHXkB`7p%{-|rqHn&uV}Rfx}GJTBML
z)=2L5h#5{_E^eR2=v)29uVfxoh4Od${mf0gYm)8GjH;@hFuHX7F7n%T+|pE<G<8Ze
zUfA<$IC5)q%9`ZkFcu}VRt#EA6YzGL^fpiEJRe_IJjuCx`=oF~yli@zSlPk{m(s;z
zRbymQ^7Gjr?=r%#)zuZN6NMK;y9wTF%f5qWf6HZDzR>2cZo3K7?|Y3%lDuhtHYra`
zdWrBP<LJd-JK)R`(p3FqGNk<RCUa;L-tFC(QWR`^ckLIC$n8(K$?HZ=nQxRfy{|ql
zjqs&?iGH@%CxFW}t43-`h?zUd=k0K8R94gGW^P5uYGI}JX<hA;mD+H%w|ZiA($g22
z<|Fsa6R6kj_NI?ou>^73K0gh+N*X@v7?_Y&S&hzXPKNoHD`{HOUq5$Y)4$+PW)nN-
z8MgBR8nt5k=7jU0X!cB(zwpF~;0jjU*`CvnLiF{ptz3uVD)gRbPJs!{_HAdTYc4{S
z0{b(GLLHN$76<$X7c14;1PsMdr9(qPVH@Z^N0c{o^p1PSu^;*3Yzu2kV{&gsaOfsd
zVm4kg7B1$mK>sA2SR6-A?cy@6nyW_nmG$y3{0~_=*;ql>bsSybdvzU24*nuD_n*xv
z6XF`D8T_R?X{R0(V>5tv=xo5iD*ZTH<<G~9(X4g_6h{R^43CZi;YrT>fo1idR3q23
zbX5NuXe-x<2U=}bN<Fl|(DSXB4j+Lrw{781uaEnA_u`J|qy4Z7%&zSVM^?&ya=avg
zy>yxSmCnsXhmrlD(9!o#zdyN8Vn%H~KbCP)BusYh9gD5a5XV-A)mPc3f3BdkIMw^C
z9lKztScky*I{U$Pw{1HG@$hLR-E<?|#_l6qPVrVn{kDj6z6D`OcdD{`n~*73WHh9{
zmDx_R^;L>u@CP!AS5~(dNI)>?E?6&9>n#3V7oDqB>m*BA6d3vQb&9BpLxV+20eJiW
z8`1mEsRk~EW-#)3m$EZ62k}`9N5#jl)^7sJ&eN~^1j49Wi2_hUMn}(m*QOhi5vK!S
zS{}EZc_9XSFf=0;JA_w%q9iH}oF76C?higejLJUeyUA<g6`Ogzxk6>;c_6dhzkhPR
z-6^@3As=TClN$CHX9v3=ftG;u0Xixz3MgpFNLo?X**DB!He|}xD9nT=i`Ql<0Yu_x
zXr4aYl7AodZeD1uf5uk%KkFBG`ha+VK{-%WDauShI+RIoGAY#?T&z=euLE|{C4xA*
zclq>iXA!a8EMAqRNCZMHcSxT+IR-4~@OkhOajHAp!8Zg05i+NS`owRepM_};gIi#|
zTbX(v9ql({p7BC{<nAVPE<mYN9~5S18-gqYe7y>Yso-t}X?R!qj3`AlCp$Zv9=b)4
z)k0|%_cK`V5YH`)b%nQ`@YDfY08S+s(TjTbE?{?W3{}@fA)fW+3u^?OxT3v%Nw1e8
zIB6wv_s=zgz}W_rP+s1h<l_Vs+-x_#cX_X2^%9ZD@7C`e9Ge&934vf&1&0+1q~4j$
z&CRI=@IQgm2sJb`1RgRH7}No_2*nhG>pv6cz!VS^wELZ{P<Q9k0ZjX)Nr!$A^E$re
zlP^B!hfQk;q~Vfdy<J*5BH5guY$7&%n>f{WxL+f(nL-W1Q;tAPfv(;NG*+#i+;y-&
z&cOg(OYbHP^Y~5?7$2uRcOQdvG`Ft0f{ZTO)NW&;p%HkzuU3liL)up|Hg(XVu@LhX
z=;?@g3+PW%AXPje8eqw`V2W>`&_KM}WwQsoG_sE#Jp=P4cm{jt_}D^TX|L<hfyo7&
z@yCM(CLw8uEe1!XZ()DUc&U#Pdi)E$6yrjaI2H?7@C-b+F+u+`glRBcmq{n2sYP05
zFsPSWj&UO~3lC5Unhr{{)Pw->xx(DYg!johEnVK1yu6#j!sDWUXYs*Q2dz6e|2s|3
zW1gz3SJ#+$26B2U!V1#}JBPt^iF?gEAz%+4L7(fDhL7)g;vlD}`1j-c3%96UKV%p-
z&K)z@X1@ylv(oZVMtF}KMjN$2D+dQ4Ou1R7z_=0$u|I-B#{-0t``*$_|0m$H5Gw!#
zi>}xH(B8)6HD55IAu=HhwJmMz?7jnH8aX=PO^5kPm>YZp&3FCzu?0kL4|tI3hOItB
zp`_rrdG~I#_t|mur%&H2roE9VLTHosUb2I|2hldcs|Y~}lavhbKH#B?VVtj^;oSXT
z^8+)?#%zO+8m17agq`oeyx1HF2*}VTYz?<b7iDC`8ARVUxa6Pc=!D8;+yL_ww8){z
zE}Qn!B3`-*>q!yyUYNruTm&;f8d&bY?gIiLqHk(eJKhEwF6_GS@M4=R=j+!85h5+t
z6~@Jy0-lFlK;@zTuGy@gLrn7U^+pVQ5@BA@{c9!|Pk|<1{#C{XPON!w1|WtaScDjm
z&PrbVIE3dB)h3aETmoZ}CM$zEFieDGnx9{uvVlb0^DPixRKM2@kq(<)VZwP<RaR~U
zf2a(s4RAN6FzP{@-)ebp7p&R?K+RcKFEbe#8zcJxzQE6LJ`f))+|=W1CPI4x{RpPc
zrGYFW_qwFnS))wFL^*hR#4SSSb6Wh+0_==1wi&!y*nrF;Bf~c^j@bJ%L;jJRoDt9t
zV0(7^nmIVAc78H_VZT45Q3|@N*y+~&FJHbOUYVDZ)qDsK1alzK4=r{`aiiS9Xcb0z
z_Z6sj)!1tYxdel|lzir-pllk#C>d>j&cjGr#E*&uKVlHp(&_{U@dMZoN<sUZ5DCKK
zr(6CHEmlCD1`Y(|Vro9~mU^!fWS#-!9AmIQf~wlj7So6fMiuDQRDwkuwChtC4@M?o
zAn75_#}d$|B8St#!bwPI0`8MM?J~TY$sQP-tAf!P<dI<54!KY|pA}eR!POJ<=@Yo}
z@qjp9o2-cgdkEs4MogZN6_)xR1qvlbSWi|Xaux`&RqN&B$N`0KK>^0=G&n4fCS3Dq
zQT|O5z}5ii1sW1~w-9OfO-RTr3}5_#?1fAOiSdZ98NEeSNjTR`UZ;l>3+sRa3)@Q4
zk6E*1@8jE8{(gw%9h?JTz(fOq<(uU_k6KXG{%(O<MnX+32W~$g+kGt*BVkI{`e5zo
z^J69woBAUru;PQ8M_FB620TV!O!9RRV@~hy*jpZO1Az^u6A=atbg6>|JxxtYnB}C+
zUk0lHlo(`q6lTv{LCwnf^2L4xWYwTa>x1tUbC68Hv5&0n+qYL;9>ZuA?L`7&OB1u-
zgIQFVwSA(hI-6u?%}Wh4=L9=N`nXZ}p9hvFf_PsC1;xa~T&k>&QS@PO`w6FDwA||2
z1q>mAuM|EQ6BmbFSx*cyx`_S&7@->BV9A4FysD}S2Hnu%d%RZ6x?ecr@s;-9Y}N}f
z)ObQ5B6$gTKrjHJv9Pkj{6=3opIMnUggfE^gp-f~QyDOr0$&r>K}CgDfMk{m78B9W
zA*x_Gf@*6;($dp!v#_92YHMkLJdC}Y2h+{=-Fzb;v%%n$BWK=9c&{0x7oZ5a92OL4
z-Io}|j^;^>jEp84lwj>3IFkh*oEp8A+`}*OK65`n*}>=$;==tX?7|@^D2U7_0Nv{G
zH3=XL;x*uU_6-AJ|G~3P#bt<s8GB<;5G}{c!(l$a^=l@$0pCK^H8(eh;hG8iAMD6>
z0efn@^;^=qc3UR$q8$&M7f=&XcQlJo;4P~=nEDZbO9DCqKjQEt5}hB5!GICR5+IMk
zrioDh2u%wKt}C8D5*bv9iD~})C`Lqk0FowRIsgXu7O<1oY-*!Hz=cU(#77E4#}m%u
zR<y|uPgPaFK?F?5zY3!fe0#LJ7z2LN{`7~U=fX)JK6Jpy`w?hB2qz8ki6kL#mzwlI
zPjPla#b>VOPxBzojh+IT0Ed|o6f8Mni-zf^8Mr-Sx~~-IO`_reaRjCiX8swP5kUkT
zrO}Cr-B1=`v^2jxavt%`z<e55D3AZH%fqxIm?radDk467pe)Rzw#@`QvgRzDuU&Qn
z03(<yqCb3C(zoe;0^bM5a2dg2_SJmoyBCH5I7q=*zPCA@JUTim?)pBI69$if8AS$<
z3iazy8uEYJ>3kfC3Ouy6wBVgoduw9@Uej<O1tI&x0%pNl(iWP*79x29OflSsjVQ3^
z0LVNAb{+;}e^%HSM2_q+cRrB%_j3~@xPgE(BmRGWXd+Egu&zY`U=bL7X2GLlI%xx5
zbg=Ivk2t)4_YUyL>)lUWac|$witUxxLr5ILIzzHQ(pn@$d?m0IaPI6S3mIDi-=eOF
z!SIUNDIgaVVwy)r8GJ2njD>R6AI6_0Dl)^UTFTe2?;yfq{AjpTY!hU^^`zddhk)>U
z!1(SnY*kiPCbHYb14HfT1w2OjOEho6@wc<xP6rlBx8eKZ=@3pZnF{6-iajAIU6zm7
zH$1f=i-3ba1whL4=g*bZ)B<3P5yBeAm!jUj{RYu-mpU97{j01L09lST7Oze}Qax8%
zg|z;7h3%f@s055`gBj=>3`Qp^K9rWmM6wvn{umBst03AS6s9Tf6Dydtq7-su0V7Wv
z{BFb+%*(>SA2JD#CMz#L2P3*!FrbC#^nhXeay2;rXJ{7YYi=?zy@n}-_Z)h1U_L|u
z17zG<aPLEPy9+x9T)m#Dm;y*|b?*CM$=pJ;5%8SBDR+h6Rd@swUf@E~KRO_uRR9yK
z7(9YC@_QDbkwDs7f@+Walm=9LB&ony22wGQSqeDuHcVy9`|hBTBg+QALBZAhn!sT*
zT{Y(ek0~JxvP^)62*=nL#v<XwfJ@Z`{9Ew6Fpmt0v=)RoDCQ%AnGJw{5cf4SL_guX
zA-@m+_!)rR9E=VBh8r$G#Lmat)X%`A_gsvUSSk!<K`Ez$u>d4LKt+cND4$pjaS)Pb
zdwOUmcDDC~)^ke|`E7y&+z{&7YPs1RMt0(v0U^gF35ZFg%K?oEW>B_Za!M6ur(w(;
z8EppHxW%X#=6b@0%=1ZZK%E18@S5<t+{xc{aF406e#y;+A<^d$jJ#IA-XZgPFn<ZN
zsmKpLz`4Y<tzd!)DHyMLl=%KtlVKw`3g8UG01(KP&?mtn05tw;F%kijLdZ{1z^pbT
zV`NH-;MzT8?h+DuNLqrEXX}hDG1&6}PH7eyB0e%x@H)h84Uo_FMw16`nW3SfAx{A7
zj!b>UK(6}oG#3X4M*>WBFl!94;$sJ+pQ$W(P>0W6<gws^VFkhzLMM3Ay8Ssf5W;ps
zi7-YCQ#%5#Tl6NSAE9Uf;=&~$fQ(5Xtpa1AFt6`^u<;mHXLqr;kf$hLJ-2v#9js2j
z<KFwjC@A(v_*dkMgo4}m?!5<W!VSO2f@tW_Nq7$*6hbV(&<&h31fw*V<>1UbzDoaX
zF;Ty|1{Mq45=bdu>`4R^lL-TF3W-9oa6n%FXJLfNjelx)`pE-zfX#@o2R|YKI2FDn
zvaav~q9L|L(ka32EQ3i5IwNB!p@^B~j$Sn>U=_%u-~wcT90;hpMK2!YAOx%J%y(K&
z)sEHWRp=MGM8+r3+MrD|@k8}O8gr!HK&LF=w(~skAg})={MZWUW{Bl+%5{za7RYR*
z;Cka9#{#Q<-%eGgZ;OI7gkUh7e8@jEI9OQ|N<)YZ*&72J`%*zhDR?3wMZk~a44OM7
zo<SUdgayhyxSnC=3q~##n4Tm))wM7;ho42caq}jIf0HjLgCG=w;Pv=%_{qNFhz5)w
zNl2iy^T`txHL_xj@5O`Re#x;~sL<kGJmLcH?d`qp{aZVE6)}V%avfOz97iZ<X*a}N
zIsyKC<S|uD+)oLpM3s=gCnoR%TN2oWA=7{bEpnQM()M>F8dz(VryCmD;}R(d;75A?
o{bo=r>HojPj{Jhqp9?hiS^nv7yh04{V@Rk+(uxlXqzqsEKR86IrvLx|

literal 17372
zcmbt+XFQj0_%;ezB`GbdGBQiDcZyJml-V#Nv+P+Y3Mnhuq_SlTi4>Am_MTDpN=p2X
zyWjuwym($cpU?B+H_G?EzxRDz*Lj}Dc^t<nP~*H39rb={5)u-+v&xDWNJvOS@z36E
z6!;qlgG5&nl2a*X73H;EVrTlDUBWN+)Go{|M=!IGv2P_i;<r^{l1*{z*3+j$3ysa?
zHFwHK?cOO*Zm@NM{Mu<vT|RDsTw(GwQrZgtXY^lap07%rm}7lxpMT~Kz1clG@9c(#
zBTJu8te)^&vu|>35~t4ZR@)*xc~)T?`}C7!cJ&J)PP_5{HgpVZ_|JYtGR1A|ioVJ|
z+t~dq=&9)0{pjfqksk7+PnJI-=SQy~9I!QjULk<uG09GaZLMto{};WoHuRwnJ}N7l
zke<#HuEN0+@!-b~OOn3+{#MIE@85k1-W$>D>mDo~^Ho-E=kmL0eH2;~tyBF=Zk+WA
z;54neOJ4Kw<CBC0brlurojZ4ON2r)J#h$&toq1!qlqZ5Zb+PBb_*7@k%goH6`>b9i
zNv1URS{Dp9I=`N@Yzgx#Y31SJIkrDoQAz29_lC#DQo?5F<HvVeEuO!5^DHk<NW$?)
zP3f(P5|@QT{CWk6#<d|N25)W$;!)TC{v{Q=^^G<yEv?|j*Ly|Qy?REY)7|;cpFba(
zm{7WUm2DT-`6GC(<HjFbD%_o=q@~3@e+z&A{(UPY<t}>qtKtdy`6rkJ4BqwkGe@YL
zwy@wPNli_SmGzFFpP#4je@fq(Cf{g&<4yqQ>733jLz9yMIvF3Ts_slqT9`G*H_j9f
zo{thRJQmaF@w409LU{lAIEfFx7Dip?t0>pL#n>vJJ7+pj?&|S(rPJfjO!2Qje|E95
zHn*i|m5zo;{#tAh)GfNXk6Gfj+{>@WZTiIW^786FeY!r?k%h<0x9%0$nA_ZVl$glI
zuxpp==HJ!t{bizpmFq&BVSztqdcS5|5{wkQ($rIEWp8hPZTwS2O-)Vi?e7;3RQf6y
zNK?_b9*I`tZ0Pc9wW#UsjoBf)PS3@~_1Wx1{~O1Y^z;XgQys4z##OMX@&$VQZWZxQ
zo-jo6>wm=hQPI(vuKZ~CSZ-CiJ>B(KUG{JIBbna;HvMm|2}NsgGcHecKB}%(Fl&5v
z+TQ*+tLO60xyntM;(n(CG)w|xqmN`?C_Q3%s>V6{_Kywcxo3XeH_dvBtZxp!jr%iK
znUJMlyx3*@=<L*~KJ6oNiecs=G5Ep{_4QOfB_(2JpP$NKytv!c)KptX=ekIYCO6|N
zZ5{!`H;UJ<A7b_T#cq}#jl)SsMi%h!;rsUXh=71?Bn|f~>P@Omgh(|sG~~{mqq}zP
z8p-n9U;^C%5e*$3orzLv|GVs`?&V@ltKYw`Z)h-n=R?}zY3x^Wo`G#7GO^Wy?~0&a
zLBRaHossMK?&Oq|Xi?kv)Ixl}y`9~=&d#VEGQUVzSy>yH4XLQ8!o$Nu6A~U37Z;Cv
znB{jfaJp5nAfz=lciPz4Jb(EzrE`iuXLFE0DCyMwJgo5^K_j&sqYAs*w+lY%vn!?`
zaL+x#`A$wI^Lh4ce?upUmzP(pgyRD|@BH7@L9NS|E!M8)q@^Y4=9>|VeN^kkvFkP4
z92^|xmzT%xP_nS`@dZU)@rvGg_>6|Oc1^&}!`o<S#~up4z54g}N}p4&HSOMGKAlGH
z!S1uA_nT!mV{2Kx4^|kdySj>>Nol=s|K&?Ac6N4;jkSrJ-FYA0*oM*v%SjlV4r|LZ
zRXr1OkV@|5`MAAOF1h2c7e;HprfG3)XO;Op*_z^tbAG4CCbhv(bFO@8yQZclj?4Ye
zpVjW(y^DkKIZiT4#`AZs^PCY6FYocav_X51|66#+DIGk#%WA*#_ugVb${j2w(_OEn
zkP}I0S!MbhlsZg3|NP{TlIr_1&Qa5-XfwK-j9XC9{6|}wi<_H};}7kOax-~(Qrn7^
zJ$LThDgXT=L&x<T`-Ysa&1hlo9%Zcj!oq^%8<q`yyrHhHZsgmk#YKma(b1!Pd<ACF
z$$?!3H+BUE21+froYHZv`1DC-z<o|y=)?)vA89W$7oRBzi<I5G^E@?mp+ny`=|Wn|
z_uHT2r4N{!PYfFM-88HAqpGQ`&A;}ZLPb^8b*WJ_?bWNq<m9`n1MZIyGXr%Dr*~-?
z8ukxGPtsiziAl@MRDAiho`JiXML2Fx-RhvXx{HgLYLo!7NWSaRH;G3%dWF<XOiX$O
z7I#!qudmMb<BUfN7^*bKOY4?8qz3aaiSh=YF>V*%OYKiqVI(-rZe!`>%A{jy$@Bgm
z-KiuE`u+P=E?jsr{u=4<acJnfuGhw{6LHQY0goPWNl6{_X=%~u$hl%G{uWP}qV#Cv
z+NG!T3YQ-$B;n-H3JMD9M}6U*7LseTJbCfrMH20c7u!qkZ)W7YJ#_f6Z+E_VK6bDp
zQ`fiZYGPg<!>bB9t<(#;Avx*kheSjok&}yT2ScKwn1+Xk+uGVLuO|D^7YhfUIi;pX
z`~LopiB=`nLPzo7YJn}!@zOY9{@a-)a?P7rK87$i3{<!ygsy#ge%8d?JS;q1Q9*(1
z@#DuPrlzm$h81StObK}X{?65K^9l(TXybQhCE3+udo4P%nVtLW?+0hAZL{ZHT3X8Q
z;~8M=GWC&~f49ZN%uMLkH?`T4(e1x~&NRe|-<n@sJR~NzS5{W`*-5L9(I?F3S66EX
z2NUjWp%gOyNUNZruwf^AA8ABY_4GFO%&hcu>cSoYS*HUv0&~@GH23i9DQalYJNG+A
zWvT8=Zbc?iiOOWYz|A;$`;CO*4_=*2xh$Qfy2FpUa`W8k9cC5!EEg9SxdjByWVC-`
zHgx)EA$(nU|H9Hz#)**La1?U;Frk>n@W{xKsVS>&%F|s@nVEbIDxc3iHf-9mQ^BBn
z{G!ih*~8~Y8$N#?`;w|EI@U){PLB2I{BzmJhz0eHPQq4eGoPsV2D`)RYkst6to<3>
zZ2BC1Lfr93_{A%-yu4F8WXGoRy*Iu7tsf5ErZft}3QHOCwrn3=USgt8K|z5P@6SE#
zhL;rrG8Vt8%f7ZBJ!9lPa}xR0uioVPpPw^|XU>d#`}PsFbh102>-_oiH+u>Kk=9$v
zoNeDY&3sy0n&^Jx$cseR=e_wC$F?KeP!*wx#bVmn*udi7i<5L7nVoH#AO4qVzrHw!
z$~ap#CqqlIMItWb)cx(lqob$f<VaA5k8p6b7TaF&S{r8yVUbobF*#D<zWQzX`&VL5
zZ%=BFAQdCBlTJU}lc`@Ef}%q~yI0Q6?wCp{LzYfM;4Ut{;y)8(V|G8Mbx{)R?CcT&
zGM+x&`>CO!zOiw9<Ih|zYD9QAqlk5nB8reEPXrQbPJM{$x*(9%vw%})T^TQGi@F@^
zHxU}0d7h%BTI|Mpi3gX2hsMOHB5r4AXNk1&`RVa3qN1WiE-!PMx%~P%`AhYLZ$Eo&
zUp{~Chr;#ZT+GMZYw!82d^`y-P^d>7J?syWE}~^TCA`-fuCz?8FfuWnz!7v?p1gwq
z+P!->)|YC>jvcopm}5k3&5-dj4N4iz&CMC9$u~DvEB6Uo&^JU0DkW(Qjg8e{_4!rV
zO-)P^zkYx9>J?7m=+qQ(;-5-73jk^r>NTdSMs=0Dp13v9G>)WygqQarpd0W)t*T%}
z%~*ZdK3OlRvuDrpq1>Gf<6QW7z?OdZ?hj3Ik_h`92SjbcamM-%3e<jBPZ$-8*Yi2k
zpBw-EljSaFzhCnU#*bHIWL)O22Aw%<)tNoM354P@nRMUI$*E|0Nm5KqLr?G1Y=2qw
zNh=~xlXxtAV7fiq7tIy#Lgs_VKuS`dXo@?ls(SeN@yE-{x68}R2>^#P@!|dZEyznF
zBO?}HUj&<)EBjn~e{bQ7s^H^@h|@Q3^4<FO`P#<%nn8)(o&GZCu;}Qs_)Bcf*tc&_
zo<0qzH%U%RB=J|cqnE|W&mWAmWB={*J^&}pjCQ1`mY3?R088h+ykw3aKVJT8<RMO8
zQmX}^TY*()$V9w*2o~%(;AaS{Y)IABtJrN+1N+6Xv-`zPj=VTRdZ^~y>|$+ul=|ws
z+i|Q$pJZ=Ta5GZhqdP!sdRL(p(?ce~kKNtTsORY!8Ap#EmCw>iX|>?y<;|CBzIsf<
z$jD}Gz(RNgn~1mzPDo%SVPRppJ<}7hg>w5b=UIbz&!4(LR3BPXlynO$b|U5{SKQP%
z!%W%R0s0u!)zxvJ?seb%)+9MMCg{CJ)85`*QdX94+0J8AHY4&e_yFZQ91qf8)A`N#
z*3l14SH}8EZ$;LBIFquIl9KYSudi;N2^GL&Xed1@qt&2!{yrroCE_bYO3$Rc<||vS
zlsrE`jUL0|PyyXdSA#4(TCUrQCE1oO;$G`wz7%xT7Q#Zd15!Q3w(1TJLQPFgL=yP?
z?BqkBFl5z$2M?|<eQP8_1<5<!>-UX&J6M~z5<C<DtpVH~A6Ck{{(%~eg}sAAb$xxH
zKMhkds;z~vi>oWj*wydx4<9@j`TjED8&D+0(C~fMZ|`@=KF`a00(8paHp$LNeLC*6
zHZK~6Xf<KmfmnY1qIrBG6h}ZI>79kJ9;fm410q30qQ_>2tE6(U2|8EG&(M)0)Bt98
zBC-&vW>oZ6**|Vt3GFfrhzYMZIdtL#pgC*Ca%ogV1hMN#=kp5->_S3MP$dvO_a8o_
z(aVZN7D42R*^g}9w{M@HpCA3+y~^j$ZwK53ehoyT#hDUw7~6)f;1C;|4=%hlQbR?c
zSD<>T?c0gehVG;#Q}@K7Lx+^r)s<2&wBip)SAoI7sVL@R5)x#gPo7kxXd$XN@c_xm
zhtMGL^=?a$^=83C#>U2W72C2>`&WOt3#9S9ygb&&heVBY7f$x=A8k~4LtriLqeqhf
zHI8s{G8{aprmMRT2MTQk0;fJr>!q@)sxgv10RSV%Rr2!l(db3GvYoT$e1qOn^r#hO
zz%S|i?$7BLGl=ghEiEO$n&Roxx-7OoNDrZYY-^PRsCJ*Lh}!u3XLNG%viU@t{vDz*
zHK6pZ@~OI->$p$Eek$lE(Zp&KJ!)CY<pcaDQ|V%+<M6SO^n=oF;m8SzPEGHzUHfPH
zTwPs>$n2DURDDxqsmChk@slTClp_LV52N`l;URj9YJVEJ8A@dJN_C(gQyax=*Vu`*
z78Q*O3Zf-I>W7C+{LPiOzcWy7Kgfn%eHHgO{_$gZBn!YoBnt<mh3m$~{8<4AScmx`
z`34i2uzE!|Hwi2d9;r=8zSTn5Vf~kVQ@pgQlamO-Ovn9-jj2$8fTEUW{Ein>ebE}J
z<eq=sFQKksrO~sEjC^<~CMGuDZJvPsx9XK<%H<L}0Bm+-nb)Qbd)$6b*Q15KoO_iN
zaO-n|EUUM-_mi-&XfgXk?yIxoOU<(8lPyUE)c^I%<?ZhuyyyidJF*Up);=;v)iN<L
z2?fZLUhR87ROP!ib!AfpyO)-pUj6lJ7*0x_%ffZMd{9n~AX57|%ihcGoO5~fq7_$c
zhc|y-Q<f&NG<<(v%W!*@^ZUbt9e?J>Pt)rc-8_q<ODy{0CtkiQZ)4?sDeO^4joiL-
z00Gqia8-pL)gm7HfXL0nSFZxFTR64E`9__nX>1J6HY{6Qt=x<&FPA#V%)Hh+xN)!5
zV$7e(=<4!h>+*DW7*PG=`1mHkm3=}c+rTR@8M%<!+S(#pDe39$FLRzV`~D>rgu$8M
z{T!ogI@gOyk<FDoJfr|3K6Z9?E-oSPk(1A#Jxhg7nGHb&_=$JD+1-<`o*;u&@5*&!
z&-~u$TCvLKlg^+aoNL~5ldPf_A33(yWo<kvFevDVv~*nO74JBpViE#oWAW@A9Y5R@
z866$n;)7;LTwEMy<I5XIE95%Y+0u#0uGfcSM6B~ZGoTHtYH#0--Wf#?DF9XL+vn)_
zElH<tw5RXJo!*-W4gdJ@00{yG7%ak#8%KdokpED@ks*uQ?%pdhi6V9Q(RP$*IvT#T
zuzJkj;ZQ{PA?`BIhP3GYcj`*{-=DqOmoA;~{Czv#WrV6B{h30agNH<4%hyXfI(ihP
zjb<m%6Yr&^ARz7m+w!X7!HyyWkTn^Xay|muqIEoW<I52|2EjbESQd_rkLz|szA2|q
zQb`@D3EbrY9KyI~k6z@#qdYv-&CQRxx-LI>@Bm#~cvO`B9$`LS-uIoIOh_<*I6)~X
zhk?8DWXmJE#@T+O^6V9}V>@B?nT?yfE-zkI4iLy?JmQiI5(rk3<HU*lrb-}r1v`8D
zwAJ#wK3{se)puKV49(5$@WIMFlHCv^L07J*sMvyTGSSJ&39XK})AU|-sfDf5Zp&AP
z-rbSf_%%A+Q~0p0P5a=%gOdXll7IiKQp)9Yo-l7Zm{@djvAFVYFj5`o`B-Ii8n|j`
zZ6ZM_O?z=N<<ZFWbdXWb#Oqp?_aJDH;`Dy5Jr%Lu4~QV*a^FVUshh06zCOu$Zh)k~
zvOT>i?jQ;F&Um=m|7oKcNP*)qjcU(?sZv_&kX)MmsCJdi6!rS_2;>AG5WS$OS%stS
z^85SCEH7yVVRH0f`5rSPBh_1WNXg-_E=@F>x4qIt!A^8)@5L!YsY;S)W<7S5WD5mt
zuE*T?xanF?YwKerkR{GJ`*!cXXl{Mf2jx)jEz3zuMv}L0->St+tx05`7xpux2teCa
zQnJ?vU}!MdeECQFLwvgs7C|S+s4>4;#;UtWNK!HeER?DbV#mPHkYFjQs^ov4@wZR}
zmGd&*?E(7m%U(Y}pJ=YzJH}76Vpl4?*3mP3?C*~Qf;wT{BmDNytYmU>GB*#;AucXJ
z1WMo~DjJ%@08l_f!+5`MjWPSA-3rDHwr}4aX;)uYS28Z*v2)~%Wp^G2N^j;;zD|~2
z_pANatey6;5iP)n4<BxJ<=!C(H-a@_kqQ9)WFee~BnVivPsT$GJ+mNoV!E$%7aAGk
zN76s<HxxFE9cm5dW_%z~HcIu!Sa^TTvd`OTN?<NNLBU5~zFa`fd$vs3-uMcXAR7Di
z^>sec`8qG6s-OqGb0#GzFYf|bP1CFP9}>f@jAx0C>z0$#+i?*ghM!de6L(OBa=rhb
znbJDeqn~_A_$xiHMAA%nm2dE$@~2M@3?*4REWR-R{;S<kSWm@^&LDs0{KWLn9T8OQ
zeukmZlittIG15kp%bvUA+aQ;Ak8+dz_ixb*2896q-~zb~wRw#ears60Z7dY=*4BoP
z=@q)@s6u5gJlis5bZ<m$@)+ZG&+W$_zT;M{reWWz?6dwlGpulUxSdp@kLJ{Xe|}8j
zi|YUVDm;gE^3`QMy9M7**C*GvNflAw&ij!@ui&$_j#Z1>lJfIz>SH?X8){P)z0dsU
zt3#B13<4E6Mp+cLY3{&xrfA%~Kyb`Ij5|pemHrgQG@7Y#e!a*#Xh*H_stQ=wkAAa3
zfQunAGExZ0l!1YPs6~Qre;q=G^Ff7@SsU9$O+#~||INu=oNAyiUlRq0MM@cztJVv(
zs@B&#Kk_nCYw)C!<6bMd4gZlK;AW8eNNYowjnM@})?yo<N;vYUM)I-C$i$;-15Hqa
zpm-{3%L1HgTlu$WU`fQ{mV2t+zsJ3XEDCIf7SIQkj_4GT*CK0iIDn+UehiQ%YP~#v
zP~5=}Bm+|Wd!mG)t>Ld_Vq`o9+zN8B3b`y>TG51-cz@F<!^@mu^<PX=FQkEic4V>b
z$lOQV7xf&a8&nQ|EpNmpiP6J2|Fp~!j9~e6b-U-998VKxNmCG{5y3oz^w7F^@dL;h
zf~Ww{0Ap}LPwzoY%mK7EslZ_eC7ptDbB~2EOP&F{sT6XMosI3CgFu#!DprGtxnsw2
z2dY+OQ`_noW{GVoqYVXD{uG^Sy!)&;@?ptRlVmiyJQR2WIZ^H6oF928_#`H#p<;DF
z^%09SQtve&@0t%E7LX4++y|^|JmsuuYTA4zsMr;End4mt1_t;p=MtS58ZV7B?a#5|
zyTA&9>!_-#0$~e+Tr<N;a2QL;j*NhI_qK%L=<dV(&>&t#8B%O(bCO>B{af$t=3K8s
zMMZ_TbGb@t`Yn$X%^UALg8PjWw%OC<HVE*QC0|fwilkR)J4H6865i9ZM>(b0fk`1C
zCT440#H+TeA{`rCIF|~<Pb)+2)QJH$wy~2saPZJQRTJ7yoIm19K7RUrphp5WIf)+y
z2O)|TrH{yEE3QphmkUwgV~)hhR-tG`c*-!aUHS)1H3g|cc}t}Nys|QWQRBtAaB-CF
zXoLVCUgF;a?Uy5t(?%2?#=uBT^CLu+<n6df(<nYrfOywmwz%2#QX18NpCcZ+PU_zh
z;QzQyS%{~twJ9zDZ<L<T_1hF@_3m9VOG``eP6}z-*M*|F`S=KS7yW2dRFrAX^3;n9
z4SR{p-V1Cwg4F%}>r1T*7w)19#32`<@Fn$OmUPNRD+hi)K0dyDr9=M+7uN}|br%qF
zt>15}Jv~M$D46r{=(k1dazYrY@y>4$$c*5<^aYHq%-?0LPoF+@<(WPle~o5i{*m{(
zFNbO*WRxnjlgIZ512+KF#LLp{NX;XS%IMg1JCMUSA%Jym6xc$b>f2KtbaCgE6cx9k
z>_^s0NlD>2v4aeJ@PHbSXkmUn5%pubzbp!b@Gd4Mb8#7DX3;^9FoK50OYF(gabNMD
zUZW53rlIC|YI${4N^HT<*eIP|p|4;%k46>iBHXcE??CWJ31c>m-VZCFPL`Ixs*g@g
zP`;bWsoee!L8n`6!yLw?PVo+;4cLh!4ennPvYTfe9aq|!k~KQ+QM_vs4_&08-TWny
zbAB89GYSNtpTGa>TNCGrCJU$_PQsBuJD^#@A|gKEzD+=C`=nfsk*uw)0Y^h2cn2sB
z9=#w|HTA;q>}&|46gcf^PAYHu+}6FqTY@fz<}#o0qGn$e{y9#~UURM<Yg9$ast6<k
zhy@5-0<flAXt}$)yBn$%A?l#ha|PKU4l)DbPwZd$#_y?LYikQbzB`Cmq~7r=?vJLf
zcCTluhTLh*!v=8>^5`B|ZD?efM(i}r?+#K(dbRqx!O#HU5$C4+=Es{No8RTul21R}
zMom4ET{ipX4Ovm;7D`#l%BE08y8V=UMOY=;Sv3^4Etu<MUIz2=?XeQeYsaIT85=u#
zcyk+$hc;|*OZf~2KSX7fm3}LK(DP~ym(RY%T}h*V6K~n{bwWjq2{)t+Xk0m{|7SD#
zbB|4?j%QMTTv66pNRxhsA$Pi%nPlx~e4a}eWg}#!?`^GXx0Iw8m=34%$M^D5g=Vz>
z5UEqYw|+$b65`QGo@~t0wTPUHRXM20kwanIH73MsWD1i@VNP5y&KpAhS;6d%eYK_v
zN%RVAqz<6v<nILeZX-&b!GU6(p?%u!qDUQmBe>B2BgsbpaP{_o_ZC4QXOX$J4>ak=
znog-8f4sm)F3KhJ>~<53EByCuS`2KRpRzbgC>8Sftk5(Tp7jw{Z1L%#d*Mevvd65D
zBrqi8MM+85;@@~__qv9L{Ei0EY@Y#*rxfHz|GnYOk36JL;^G<?#~TQAdgI0owCnTW
zQXu%)21nU?yk)i$jZ*2h{r3Q7nR%>r<_Vr=H|$GFN)k1=w^30MTxEyL+Q*48n%OLN
zN7>uIA7*7hsEx^0@llHvdyFotHTg6RKwIF$hbe|-PC$)T<?F$%P9z8QsZQ=rd>fc^
z3Mz0NkKtuNIaFI}YHBf$U&lbC8h;Gh7akGuclefoQF&dJFD2xS%%vqDB0_nD+VmqR
z4H(~H=pAWZUZ${YiX$WAk@`GNK#<6GidGbf2N%*zz|fTcnJoiyL<=${EyB)zhhPF%
zI<GAK$jIr~cXP19UG$2_0y$a>GXxVOBV%Y(R4uqeXcHWeRL9oWmP9x1_HD6>5_xQT
z4&*;~2DvgMBLZ-PxCYOlWn>g`{$<8$7bLqoZ$1CyU9BSX@bv61cg-Jv{puC>x2Cv;
zOx=7EG54Q*mFtT%;KI-rCtz_FAb{zIh{iN(Yiny<ym%T7^Qd9yz;2KCY&UF2<FufY
zAJW;kh13P=<acywV4~576HO~ByUyI}=;&x7nfZXhei9jJ<~r>#c~I6X7G0ylsZ(p~
zOU+OpNYTawAkXN9G&eMi`tFb+x?7Mh$H6jwEPM5?m(6Tv__wxMCLHNvdb}G1Ca}iP
z%t(FA<6ZAL&GfXpXP$qVAM^;#)22=CU&vq{zlQItMGKLm^ILY4=HTEU!5a|LVy&B-
z+ag-OByAqu61!`oMG8I3_xWuVjP4RVNThM0Kqg3AG%%mh9@IdD`Sdcu>l28KDd{5f
z=6HgD2M>_%zG_482xz4U$_YOhZ@+ZK6xtubgFy`krCbHvBMx$k5Zl2kI5xf1?l5|x
zkYv&K(7~E2-r6KapS^~^-jei5RFqO@wxPYVGuNR*5SSngx>nQ<I1hT>{{F?^8ybAj
z{*w<_q}}M5n3PVRCdZnUl$H`{cEEGh5PiwymsA>p(Y_2y5q%wWzG?}kRP9q&Wpz6g
zx7n*+c-r{wp48m41aNN02fQ~uJv=<>nwz0b#e%d?*3r*m3PzypWMr%{bnb6=;gT-f
z=@m=XyuK}aBiPx9T`?>lL?Ps<M^cLcS*mMS=zhe%?s-{^BsU&)<pl&Av@2lEK-#>v
z^y#B-JY042?&ndUvH<-D?Qe45{{5*BTnIuk84HnlrE+7(#GO8EgLTU&7xf6o*VxxR
z8RTfRhM=6G0~8Vx0*~|iy(^n&oRcs6H6?3R<U5<4Iy9l6FP{*a^;nqtBKYXzCUv2*
zv6K#9Z?qRX-B>MG{Fj_`j0;HvAO$Xh0s?Jyx2#MON4mr9`+?>Rez7&VFD&!4d5$NM
z5O?eJKh{WTrDtSpE2!S`u8KygS6+oycsg5z-LK?(U1U)(hXskrLH|!9ysW%_^yhrG
zDjVNmCMQn|6&xkr&KG~SU&%4-7^@ce@2lBKzg#ZZJ~UY2<W0Yi66`(M5xM<Z$cxO>
zs+k46$>=mfagk;F0Um0$Ke1W7fK&(0lRZCP`rFstN;%Sy+MoVh0zP3SxoxDl`wcZ7
zWEi*5&oI&mr&z21ml$ohsX{+~+ok8Oq|+n+?|VhVamlU4EN05Hfv<_|Yk%sjPv16c
zN`*y14Z~|hf*iT`n51+k*`HJL4l}U;P!`G44zk@)aS)vMutaE%UoCZ^90vpkb3oDt
zGfe`rrwQ-~pyl>t%N;bnJ;~F9CFDN(yvlu4GVDcJQ0#2z%dGAIV=qFjwg0_*gJ@(y
z@7uV3HW9K1;re#tx0Oz|!Hu;wB9hPn*x$N!Dy6k6dHM})b_*Zv6Q>3uDRMT<k{y8%
zF+F{Az+>qgr+WNnXys}E=p-tsPb$~P1%p_m_eZFhx<V3QLstwm4#{@m{zQ>c2{&8r
zm6@RBJOkc}7m!w?`pK1TYy^;vNI>DjIKWTppnLAzxwyFmkHxd#yY9mU@hSW$o?4Fu
z{PlJ4UIZ3r^<HmvV`u2v@gSdV?yjSeI`qiTvmfOQ3=FvW`N<RCyxC7uVRU6;Z=s&y
zOLB%idnn|JZTk0uGyrE683{uQWb=cdEkLECh3P1vwX;H`TSYnBcE6X%IqFBRW8zFo
zFk9e?u6VBOM&d}llw(9RBx7SHEG|Q&O$oBiU|^Nco*k}xd>9nXe8T2BB?JewV}8ZO
zqDDqWkxSoK+}u`Y>E6|caUG9V>nNp9-LJQLf2o(vQYbOEX$og1qRWseGAwKtfoQ>w
z6MYfE_GRfj1OY?>DH0$QB80fxGB-qRbW*o(3j=o%I(yvtOLL{0#Zy!Fth#qS_?mRA
z@l6iSzRp!=etI7;3=6-fa`fNMwWWoPPnFHRjln-<O$&#WLQKZ$9_wVxr56Tl)uJ<r
zC+UnV%07eQ8PQ)T_l(iJ@=BER=7)|5^bILtB&DrA+cz9z^m&6TKnFx9`}A34xt-FK
z7~|-9!|)$VE&9w{(r)?Q|H7U95nJnmzfDpZ&3N~J(}_H}Q$d)Sfvuy(4DpH1`(G3U
zpCPNkO88c56QL)36hF6f)eZAw{ued-gSQ5pv^bb(>a5)N53?k<D*IekZ5Rkmp#2d2
z-$(qn1{4<jpxaGe=<bIH-Ni<Foj-eHsC5s6bML?BV#Gb$oJfw`EOvxVtd;wSTxOc7
zAonMqyC(l0q4OMB&9i5YTZ2h2Z0{njD6zp6W0PB0tl2m|5^rDQ7)J8CsA!ATmgg_N
z{P!1+@fYuU6WPcY1^&B60M~qD**2RsboU>0D(yD)A$kxH0B?Vd(D3k1Ijs=*pYS~N
zmwCsiYhJiejoesW?z)83ndem6d1j9K?X}Qln!NHd`VliTXVMG!2o#SS=&C206DFYP
z6iJz(JL2U%EG{06q^jp7gSH&{14u;E-^<@CX_(7)xg0P_@c&})@7?Hdm;dy=>!6f_
zm?a~LURzU>)CWLjeyFO?vD5HXyCn(iCJ<0e`%3JkR{L%NBRvie*PbgCl&$@SV>-fD
zC;bnxC09+4?OG8%efqSRxHu__Gs!DdkXvewj)mh>fCz{YczH;O+VbfW-=m4~@r8w2
zRxJaA&j4G5l54xnVGx}m>r$L!7$=$-MIgHXiq~Z%3(L#TAwc?ot74?~=Qt?v)j~M3
z!w=y=7=)zog#d_`LmchxhtpohlU?o3Gj*)4H4C@2Ko#*0eO1~0W<TNfE29bR$kHF3
znQ4TyLQv$O8jV4f!hQnwbuXdgzHywwdLKf%B-9rIOMQ;^MKUENCEZFvq1W_MC*ua_
zIT9HenWv3TLUzn8H0N{ts|$Me1Oir@Obf_CYX+ri0$~B0bDwkzMQChn(Ea<A8j{<E
zOzP;tTkj91fcgVjq8XVQ+hvTUex;r6)@&^lo#}eiJNxvdW9@R^>>;6}J(?xkN;GW$
z=uF%8^oa2(Acq#%P9$nGw0UOBm(FLjcXG$Z-1(E!@XU`kpQwZOjnlINnffZd@`a;p
zKfh#g`q6jFk<~<!{b>`Ji;ubbuY5c^>(lkbT;Fc--jVK9jcxWzIJF#<%{}yI`?>nz
zVTcLY8jwZaPx@UcF}>^Gxju<c6u#Riye02o>gvp1(|DS!rlW7YD#LIF7i_cNg`b}c
z-cm40akiBp8cNcXeY$*gJlSNa9-Oc?#0nXlq@s6kN#7C9)Hb^l_)nAye;)dBu)Ig%
zi_yO`c?t1mw6&j<syEcy#-Co41|Mk6bDr6&Z1m(`am_eHdR@@tl)SaivhTkb&wj8q
zpu%pE^pQwt`QX3jyol%EnxT+iWO<dA`>%L{QTlmgUgRHq`WlL#W|IzeP%}7p|BL8D
z_>Sv#zGlqqu7XczEH<6MW!yKM4K&iyde3ylqY7(JF!U*Bg7b(7`vo9R2zQ>pmxn=#
zABO$`D_N3GhW+i^V}OkxdV72CU9w}=Q>u#Jk;KPz(DsWJ4hO?@9(kTkzXTzq0T-=7
ze-*PE@)>_^-CG25YdhiJ0VUjB<}66~Q%p^dU#s3~<hgPY#F6#ozmC-9bPw_gkm=W-
z-$2q`=`D-nd-%|yyIy~PzxLj=EiRhvEq+9FK&7|LDR!`^p<zeGL;w^00BDG#yu2B=
zWWv&lB<nm*WI9dtkd^noCnqv%mnax9__n}=ksRAgtF686q;CaeDiOCG^-&%2P-Bd!
zIl_wYprIi`)i4#8fi4IsKnOev;6R{GM&axS1Kv~$vOn_GPPzkz+pcxO1O*xrUcxOy
z=xSim)Y8=rgqaYM3JsH`?X7dl%83A~Bw~`1qmURXD`g>uM&5FDaXAL5MrM8f6j4G!
z1Z8^5ck(1MF`CO=OaFHYWFh(pS+;Tiob7J_BT)+f>ZyCQ*Ln(W#7etI!ntP$MTl5D
z2#pOe%Mkest|+w_kzm3S0KZ>DDMAtXC`-p`GwV^qGiP$+lO}Nm#Bo`;KfNfB32!L2
zLkYIqnciZ;=mK&Exg*%ucMBv5v@3V;3G9u%lhZfkv04jZ21Z7|va+%)!QtOxf9{%V
z%*>Rtqs$=p{NwisUKLtI<eYw?B@~OVU-O&dbijS0EBKJU(r;%y=hro7IpNDaotMPz
zSMs5rE3ATga%F09)<H6dzFG$H%9~R(G|5rMNX<SSiBs<|zcoQadE>Or#BPNy4k~&{
zQ;`E_wTn|ZSB_~%k>$=tjb_TmZ@g^I5P4R|pS7N|^t7Ho?MbkMKYj3dgjp&}%?YQY
zFZ#BIeE9gJ?2ne-#;>iPK2^(l>fLl>f5g{c`#9W#B(nC%Qq2TqonRT&w@RQx9w&FE
zj;!;;y*s1oD38r;hPSQci|eGkACuYY;IQVhWY2T){L?nQ0u^$-2(m2d0v?X`lV?6z
zGD>Z(9G~58`!U@&O>O@dmL2zFOtuHnkGx<fy`FQssf~7x^5plIC8Dm<YnHNk51W#^
zDj&zHaQL6xPrW;PETg>sqU)2a`H?5pVK@6))9Dx^c`p|o-od4$<RuZ-+#S2$jpEJM
z?m==}E;@lHTnYhGM@X-~4B|XN?jDuYB=Io0k)AP4Y3)(kjyOpr2lK>zDgyG~Ik+4B
zzij31-@zgNH2qWBmlC_AGwLB<0<Y)umIgLGkGpk!Q%1cgU3$T?gF$vv?pd+LStV~l
zvhrAsG)8XH4+(oNUX)DC$u@jQt3|ihN-m|iTGC-xx<HO+jzIHhS{jKzwf6qr4vuW~
zi$^V(r@V5G_dQuEJR&z8F67ACR5qAYvKjO0w@h$vWaaUZA)O}j^LK4#yd_&qwi=tx
z+}AqCQ9Hu0Hu0vvyrVOE<2=W6uA0YBJmR_TK1lja7Lm#k{w+cyQt$3Q@^%Va0kL0+
zOY<+Iy${eD@msC3+uKoANKW>@8`^Fueeid(Q*q5sRr!f+F@vu>|6W_V`BSF5@LX6`
z6%9qR&jYewtG8N)Wdb}PfCS#-X})jEddH~w)TEuVEZG#-y9!qMhsyew%pDonoK%K)
z-TfKJI=^kw_X263cudjoj;|t#=lZuq@MuW*yl`3>>A2SD(!(1hl4U@0Y}w~o&;?7q
zADWk<5;OP|F6jm-neGf9m%Ao$TDP9jNbS(-m<Zzs-SCL0q_38CPA#K1Tar7b<mPC1
ze+c!W<#}i+yVv-VeC?m(ANk}tR$bdc?bV+aTQ{BYYguPh?!8iGy72ZxU9V%9kdA^Y
zOQt8w6Q}p3tX5oq-3m$<Z^f`7ship<wWc@Q8mj0iS+q|)P`}lAbn>s23yF(G(v_i{
zM(YUPNki||gG}%Caf>P_=p2vMjeef`GW2PzqWt+i_tK@7BgFmQxPSdvx-V<==WrU&
z3%pyHx!}-VCMEYPT;UI7XGqFcENF*1_ig9jlBG36c}|DV<Y1wrspxsFg#70kJ}Eo2
zBj1I%(mM$T{W6~sp)JN!k+y|+ioIeh_dhYrAA8){TK()vlilrhVue1VX=|B{pE%gX
zBc7!{zWtSRm-gk)$7_ws7p}^NHyT=QIs^`eo4w!BeAiY?n^EDRja{v_hRATGQ?Y^%
zdfJQX@>523-)U>C?}fVGG>kqcJUnP(FU{zaPZ2BKUa+)0GQ3UjQ;O(gt&%4x{jy^#
z{qkGCdDVQG?Jn6GRNz?p^Ttw4q31XCY~Shp`8jjTOS-c^gR*#c(Oq=d*%6e{zdSQr
zO21@p?cA|zqeZH^qg@wPlM>5&p?7{2OjZw!o_CpYSoraGZ&)+OLS5-i8{0X51wA%L
zM^9>lzg7H+KP&HF>JZR8Y-8lcRI+4f!Avf}Rq}VPuxhvisJYt@_i~fDwjLXI?zRD6
zf)vZyr<DiJZi+W-T0cxt52chS{M50#CrU)qv2sUwqlja`#}pB{y4=CHm$=z}b@b;e
zktrI4ky`f$9_)<yW<x>pVz56X_6Z5q4t5)P*wCMe{b&>W;q|Am)k^zUnPgY)A$Gs4
zJ~u5ce=x<=|BZqC=Z~lZ(SUJ?kvSGsOc*po^24g8>*cgCa$3Z8;4>P*OkK33eR-&D
z1TTnz1EOMs@5<hF2-6N%(S{O8p74hk6bJ)-yUrAL1_TBU&v|c3a;e8>u9j2#E7+Vw
z##Yn%v;Mk4e)*(T$1%GhIl`ni;PuCv_?}(rZ31$|UVq)*IL|fl=9E`cvU<EjIa>Jn
z^Tovs9m3GyvC@7i)2QMZlrIvvCxC+CnOj_1f&>4stSl=!@>eH$BUH3`cEe>8>^5)@
z7F&>c>FLwPhmRKO1$W=HSzfIGZ?+p=BRK2yqsV-8GE&hK=QDpEE2<qdE!49XUBM-|
zJ7?JUXYl~P_07$-{r!I_E}D5llt!1lJllVO=px&1+#v=>>gtpmjG=PC^xXR5+{|?|
z*j5k9cyu{<z)VDxO$>}c&LO&D&}j!&1k)9g5_5AyVf?7BuAUw_1#iw1=;H*2iSg!6
z)8@fPAHguu`0Qlaw@Me$<an%V!(6cRx+^o7N7w;`_xEO}J=f-`Z))O%Yyz4ircxBI
z1aAu@_wVRy4cBMk;-r8B63Se58jHVzJVq;;;rOA;Y<Yu?gn1U)Itg@*(V_WX>tqz=
z@W_tYokoz6Q0@f;1Yj55f@z0)pd}B^4G&kLNp^p4CFA&m5q{;XO|jyl>xJ28Kplce
z9wk~a$D<^C1|^{&Gmpb+i?w}+SrR-VRMO)`0^~lG8!I^&`JqJTVz4%JU>Zu#HK>(p
zaT4tvsU)G{;Wc;3X<!e!lch>J)bBiK3J*u5_t?OvX$M-uZ2;CS9{l!e5SPDKrfNYh
zDxEn)0nTS=BEg$eLgE=QR|IbOOP0Rq_3PIILPE?ib+SCu+xg=pB<XOKKdzFnz3@c*
zRh!L!xk@o@D>d!Flu(iTQdV%yu;|JIij6M=ErYkwsle^r4Eh@*3&)%XT)7Yu#x05R
zFnT;FwCc=*nVon5&((g)cL*KmWHfM`OD)zN*4eZp+z%WaAB28hw~B~}h?Vht1|_NM
z4I>F;Z$87zKiMFH0e9*Z+gMLsAR)|8a2$xtRp0IDu)<=(<VCC%`aVJ?$4(N90XEph
z-F@_X_w$aERxOk-VCkS&*p^|b;iIgtM$C2*rkcigCPJ@0|2W~*OJG3dGdvBO6+uVR
z?i2EZiB>-=9%}XinlLSZe4GU1?_R{C|5=?g$M{O0Q_PBvZzBeVuxOy@Tk_4-DYhR}
zh8G+Aje8$=Teg6Xm#Nci3a7Fe6nCkWHZ5RnY^(R<goI}JCe<1uJ9M8&a&g@sZ-~;j
z`L$Qli4UR!{-A}il9Wd>Di8~@E;N|>`}=!f1PN#C)}ZI=&OLk1n3-`7dMwewAr6x4
zO;aPE=oh$Q#r|V=B2+$vsmnmOJIQ+~y9Q<>Fx!lUJ#MUqcno9As7&6LASRC>3Gi1o
zzybxCQZ!BfR*rvx-2PWDUVL=On1(__@(Wf_(CVz)XlO>E3jonpS*|>P@q&S#UJmVR
zH1q~U#X3f*2m>2T%=yq6VDHP)QO6k2Oi$rq9-apv*YjYDCs=5BP%uyg+578{;($F&
zO!*eAhu*GzI{<?v;n;(={_FQ|Ay{MZ7nv7`{#(*%dI$>qF!VRVunMm735L_qEF+5Y
zf2_x$)gWA5V5%_;15!Z~dxfqVbQcu#`}nw?b*QYca5%<~=wS_n_Y}0=c%$gx5m?!f
zk{6r3H@@;Xl8jAE5Z*6|+mk-$UmByOhaCUUE><4C?}S-bqsJkuFp?W=FulWX3|c#n
zw#&A+C>S|66o#b)oR@sC^BL_Y5XzX~smE$PLf$GU2nWp~gl2+p;1eSf7~QZbbi?S}
zcNnbD=fisrv#YX-$_R+{Z>dp6@WO_{OqtPc3=&iHI>Evs9TL_IxT0J}0=ZxrL$3PB
zQ;1E3UcHGK4KWzmuo1Ch_IEECx%v|t34F8A2{JFxfXY00e+Mfkx{(C0-}OT3FJPF5
zL1-RY%q@_&Fp^|lP>0zL^F@>hLAXpcwYB{~%|p(-21W;SZ5q0|HzM><2Vm!dZY8{*
z4ii&^E)^U583T8Orya5@h6eOfS=<kkI>bSY=OgH+>!l~&H#Rm3MSXa-vG54|_`b9G
zW{rgM*ETvkYqR2p&s>I*i?Kgg_O*E;Qm3lm*2aZ}dLlM`%1Bs9VX2UZkkj$9IPOF%
zs6VqM4>gWYH_wmIzhQG+z?OnfB4)hWt~bhNjEr0tFerIPgb;EjVcdYk66q%3?V^|A
zPf>WM5``1y=<_x<*`{7_u2JUd(KKE?)>7_z3xhZBVHB|#C>O_?;;|ZJw<7(+{-={x
zI{=xK3!_168q4$ZY$s3d_QCWOYDT7B1N3vuB@xw~<kzoXmw&*nmFp%ALHzn`Unyu^
zdS+%+)E5|#Kq<u_6G-uVJ%0G2$HvBvVSpy&pm;UXBfNu=RIl)~NMZV^d%%TZvcdvZ
zA8GfWWB3lNzr(Ft{Dqg7_GrRCF5x_@26s1>ps?Hv6%@gYbcu$T@6L5P^QPD&_>&Qs
zXiLu_U1~_`q-gW-%R8iSaB@0e_hHBUM95xX$YIq-P1ZCp2!fmc`STh9PM@B;w8>ZQ
z!wZ_{x@3msN4D()>qV3;xCC+ATI5T_1RiS*`pi?|8w`YKiQM0Jt63V<atypK4SW3x
zr@=dbFUBYlaa5sUnn3<iOORnsy>QmWrR3s-A0c>YrkugitAWL?0cX9d#Qt!;dGia{
zcQAzp8}-cyJ>-_|BI^S<2J62@AE8kC5_=Cz{t(^|xsr;SI!}e41Xk5|U=UE25+E*s
z*gS=jMA)SWavVkk3@5U}r=5XnS3LNo(%Ty&n8Y<#j~#RWd6PIesHfJ2YeF!C05a_n
zFi^(m0!Av}DA>7gUp?kZG}E*RxA&DRS2Eg+ZB1C}98o}vmPh~K6By_K6F|(m;^{cx
zG_ou_C}!sazMn{d8SS(zQhS}9oe6M=&wWSSf#50BlZJLm1e=!DDHuUODZIp-D2ntx
zR9N_qr})H;`Ol<02C>J$!UB2M7%3P*Xb0<+-pm#ukS&N6B*0Uc<G~F-puS<^5|-3b
zc$fGMtvW7TzFY@-69;b;?hkn1H8C#&$%U|+g7YZ&K|78Aw7m6nSLHnk7>1h=vqGC2
zf3tKb+XggCFhd4ywRq4=5<B3uP}WyxatJ;G%t8nHVRSkZ5Su8k|7Uc%^|^u3^%qEj
zcxDHTkGMVRed{R+?&^|bQ-klor4vSbnVHYIx&1B-UzbD<@PJ<!gGSi{bPt{81{!g!
z_>2EiU*lz9tIh_zdk917mSY$!7;qV-BOy{^FE+Gn^c?3d!o&t>2ODm#?ciIt=0EjZ
z2?i_E!&q~~l+K*-`1m-~VSm(%L??=kl>vFj?_W3wt2cu8N5xWoZS8$v6+OqIH}ory
zUGaUT81As@6o3IJ5JP>Ek_S>+3EOK(NC-S9`C#d=5-<e7NCpB7xn3@#T~EaFH>xEu
zj)GC?t6-C$xgc2*)f;lTLAlFgqF8{-4nzGX<}xr)2vRBu`xY5!g*hw^<W=C0t*_#~
zF5n104hwrv6moowh<+S9_%_2ZkpLM?9<xza9hpfGlZg2!3{1_VT0g-=A9CB?<JT4A
z&V?a!5MyLGG=vWTw`hU&!N_Hp9GG>+EN8pDRoI?@Tq}J2IM_E3io?^>YB)VW38NTZ
zA&@(q^6{?U_Tf&j1rE%KFnqNvBo@GFMvu7Bz3t4F;%AaHa#8r9nYm#0iWqZ&af5)a
z$W??}7z1ORVT89AnMM(88EDbhv6bgyL=ZuN(4)TqJN=yQJ_Wl!(H~(}1DNI+VadXL
z9P#ahpopYL%xj}lk@~y*73PI|PoKiR7^B9C!~{nxVXzK5AR0o@;G8YpZaEI@a(Zml
zO^z6$20TQ|MC8fr>}-s_`l6zunIJL@Jn%2jP{hU_M9%!-7XXDDWFUb7(Ks|T@1`b)
zl>lQLLRKAo&qQs{!?jFEXc%TCUNDlQU9gxFQwWzU+#KT~@1B489z_I;jD&*Xo_Znh
zKb?fA;;1PMJ9iS>21O5egE(EFQ|s#L-rW@GlzfYk#T%{3<S+-D*FWKai6Zzue9RPY
zdld{0+_<x??Azp|GE&?c(AIbOL17srX4g;xpqc=34h4%23=u5jO%VWA<F#WVF^zj6
zkCBlPBVH#@o`foc`Ed;H05@P<fbdG8_+VaobZ+huOjxg9zjo}H#jF4m90hzv<t0t;
ziY}x9?S0HE861!FtvAWr8jXJinHpr*BfAd2zfb(a0GW+n#?VA`=2l=i#ctOTMiuze
z=k$0Kx}Ize$aTl@;y`RdJlVy_sE9<0Aq_M&1Y#x}p(s6oYx4gl>`Zj+ns18S!k{u?
z=tOZLrfOehX4bT}?)0r9#%$N%x+Gw7Qc@D(l>m^*g;N3dsD=LobHgaT#{eK<DEI}{
zlD|+~OpN&51BAGYb`m<*X$*$7Tk?-`M%C(*sLod`e^DhyWTTAS0-;pjf-Wr4nfY%7
z86yeAxGF(16L_s9X^W5Hbew=6pXs6Lc+8KNm-jh1e;pqmKDnO`AqKyLM1v;`hnPQ4
z%g!$1JMFb52Kg0yuc@dUCKEuC14Izmz$hO%5fB9~B)ALVQyCf>^1&T3AlmdJBdU1@
zzv@6Q3!~y~H^vDU%fA^dN26j)6XWF4QuuPLlVBvvWwD-%m|=k?n3F2=-xMR^<^irX
z!*7LvV)y=mH$yU2SYfW81vNA}LJ~lK0kpa~`_bp?OZ6~}I$0O@o2{H?IvvLG-!Hi^
pIer?y@}h&7`uV?q<;9wJ<lj-pdK111{MHVVv!~B1W-DC1`#(-TfYJZ}

diff --git a/v2.1.0/_images/sphx_glr_2_parego_001.png b/v2.1.0/_images/sphx_glr_2_parego_001.png
index 5012923082d43971336367894ca3bfa3970a7039..a01889f54a9829977c95335868179b7fab9ede0a 100644
GIT binary patch
literal 22097
zcmdqJWk6M3*Dkz3Fc3shKtR9%q*FQ-5jRLmr${%_4HgC<3IZajfOJVWf`D{)gS2$_
z8B6cydG7mt-}9aC{5?OmxNGgX<{WdxbzNh=l9!bvz$3>)5QG48_qHN}V0$A7*67LO
z@CtX^;7|C&Z!e){f8W~3-bv5a5RuWdx3RFcw=jKp+0oF}&eYn9i<O_1gZZ+Fy}gZ{
z02`a-zdyigZEMWdLAH1WE^^A|uDTt95bB{1tVGcSQv^{i!`!~9<Q%au<l-D;IJ~*S
zg$ZYEeSY;l_H#u8rj#eCU-{{;5`LcW^FD*k8uKLM3E!L$-pMyHPd_(b_B|8hhxcZ5
zHAcRV?5)JxaqQ2xJ~6ZS_J*``*Bu<TnVOjR=E#KK*ztUGtv1dnou+)frmk<kj3h|!
zq7Mvbl(#X875*Y!zQ{><YJAcgo_PBFzxO0Yidp^ZZMvX3m(yp?s5FGIaO+j#L<%@0
zYnb!9tj2wj3I7roN0VQ^86Ta!y^xd;WxKbhE$ir*hrS~d&Z9iPhn?txEu@VgBRn3v
z_T1*(_X-OO`->b>rkcVNT11buMm)A6Z;6Yi#QOwYmzyh`j=Ha<6(Qg-r$oD?u+Hym
z-jl8!T%xM}H9LD_(5?j&xVtg0nzlp`V{`?<PE>q)oIo*@RhtI0HR4r1*PWK4s^cON
z?Y{czj^9OvPd)a0m+D(uRBdcB1*Oy8k4LZN|D2ktH_NTJn7WFOw2U5kAWA6|Rs}Z$
z-$z8G_GKHV7`H?vYv!llx^=6w(9YOnd+Y^mls;$J4Y=>py~Sd)fxNUQPoCr$HIZZ5
zU!A{hzf`)#C?KG5^X5(TEfN-upYDrr=k`MmJ($26KeCAup<;tNBI9tcqrH*2!NP2~
zvVE7b>a3jCZjfvQ-&jaXv1tcg*gZNH&AfXpLTi5H+-7mDt@4IOMmj5Q0aU^ox#m6H
z=uZt;<|jEW^e3xkMA6AbF&7W9Vgzh|zMShyxsGvNES!#rw(HL^wc5FaxStmGMv}We
ziNB!1ILvo<t+j||Xj+#lJB@hcudc1-TJ&)qtOR&<CM&1ha9(~8I&ImTd6U|G`7zzS
z4>2j}MN*F*J%S~8U*xp3i2rh9uB!un!~s@{fs5;YfbixA_?_6<js)}i_YCBMj;XF&
zi!7MAzU+j!N)C7Z8oxG&9_@rMF5|h*r2DQ5xji|S13U{u#j5Y#y;EH;<mBYE-~6Q>
zs;{c;5WIHiN5*B4tHJHEYA`uDS!b3TGGDsjSbY4<r9`WtBGb)ZeH!^zkvg6`hTPV}
zT7<&uZ(%G6E^AY>pI%V4FXWG;j~pFt1;(AB6nH<sk1U@*jwn5@_9dkV^n+U`Gj5LH
zcta^@#H^Xum<S7dj)>^tB~j18AI;5<F0!7UWo_x&f)hRzRyO>sb?o6yHDE|fw)<s!
zi(C&MKJ?2rZYjD%E#h8q?%cUC_k)bG-TJo%%sM3n-}kyQbVp2j(j(sm1x*N*nRPLW
z2XYwJzh^p(h#$hQV&}0MG`Y(;J~5#!V(l{Q)|sf_L!-aDKFhk~(Zt<zF;dXU@z8y$
zkqo}&FxNSfO5yD_LB#IO$o-%K=}J+R%gV|khu<~pNlyz9*}dye&aHU&?#t|<jPk=|
zKR^79#UV{yuLFlyJ+lM(8AL=x5uy}6pNN@MOn$t*!ig^qcI+^WPNJWmpQ3I;!BDZ&
z{Q7K%D;TtP&G|D_LTYK6`Q66R9*)(~c8i0B8pV!j4QT}mv3CmHhhLX$JtY*GS+!dl
zE_K*m9%D*BhrG5qbx|z%qo7l|MxI5Iw>KgoDVd_2qS9PPn4*%_j+z*_0$4)+XxJ}O
zCC%|%7A+C{vFq#hELsKfr%73vH%jHAMLhcY-%trNV$8adm0#7u+NQxkq!>%~U12gp
zYhyou25X2Ebz11(_!=a}nsy{LQhXOSu$`aoJFv-_9$hb%HDRn6W*jj@IXU&gdi2r0
zWd5*g3e0UR@36Bt2L}fpK7QwTweQBT+fuNJZpqd?#)wnQ7_Z%q=o@C8iHaiw+7lyS
z6e?FMEC&m+w4~FtG`w8YnM0(6sgc*$5bWibFp>0pd}^;=y~4x8v!&84ab6)7F4rk_
z#XEgEXvnI^8|xVBKwb`&1jejCCy8cu^xM<szB&n**BSScn@^9^vd%jG>Rov~$J`KH
z=H&8zgCA>D(GLq}^c;z=1o+cJzgJ2H@9S!*z1*u?$|v3k<~*#%^Vk}4qNQT<tjkkL
z(+G@%nG5C7F0xlR*xlgvI&=?}ZcS0m=ze_cL<HBnr%#`vmJ+H7-Z*_dHe?Q_N$536
zciFlfc18RQ`b$qw5Oy<Vlza}iE>m|JatM`;7D+3#o1U9X$>`=CakrDm;4trIh8a*8
zDst#JMko~X>=_Q&r7YN0Zg-kyg57j8Ch#M#b^4DVcblR`b@lZ0z+;3IIm~}CYWg@^
zO{&}ZfkVGD-&)uIB1dK61!?fybg~g@hS8$z?5zt+lte_I;gT%6Wm@3el$4a-_vf0c
zE(iu9%bx4#ETf+HXn$HXI3(mtEtT87rShXP9rqQ9A<w-9)qV1|wl?@eD0tD>U?x?w
z%4ergXJWrN$X~iW?%VA6`0-=cy@h<kEVcE~r-WwTU!LnPamkLWln4oB(@o#scNgCI
z8KjZ<;IUQtfurS6(Z=f@BsDSFc?rx#8a7n>_gCk+AAWzSNZNfIL1TM@FT`=NjZY`e
zB1lEcSp*9~_VKa)4^J}B-=*cdbS6^BMG+?G*SAxM7y(?XIa)Nshk&BqVzZ@;9s2=o
z1iTM>I*Roef+$sF>DP7^Jkpm79Xp3pA$1arN@<&rUPx%LstZB9ncjtkCH3~IO>Y&5
zUPV-HwHb~qFWX>WhOEj@lyGFV<@5-eaQOXSCma<_22&*T+}9F1YZbX{--l_+Hxci!
zq8DB+XdJ}$*T|8sBKg%?XWw(ynNwI2{ePlF@yW+lw-6izp>n#?@<sRSYOpP<W)-Op
z{^RQ%b~oI|&csJFbhD}N6umWGvxzTzjE+i(mG0{8h8joJphS7&lY@5a5nTJ+ukgCQ
zW(^UaKQ}(B=<%eE9lxqWqEjg>EbR5mm-2V+_*7O^32UE$o77pMD!(c*mZ2BtR!KcF
zvW~dM|8fr>kJ`QWNY3NSFZZG%EaWg&&*0@0{``!sMRVpGtJ7Zex6v``Oc=Pnp<^AH
zwzU{v^`NEmiLpKDtwT@K`dPRIzctGEIQ(~f))qk$Nvhe7cwk7cU$_?doua`hBE)Jv
z4RN?DjWVt%_o)GAm=HP`WmcH3@6Q67Wn!i7;WL;=ioGX9O~P3#Ee7dIvt;2Ii`DyC
z-S^GGTvM5ezM?94_qY+3>MiA_tM&Q(IW`SfFzvk}O@;)Q6OJM7x<*!yS%3CPY0uGe
zUz5yzf_;JNlG@Ie9!ciQHk}_+HYS^-qEdm2rDb8M_MO<szL>MkgD|XsjiW(dWac@u
zQIL-=>3j(xB%QK2Vr&;KJZMW56mTxWhZkZC@?P3DG_ug!k*Jv6IYZ%a3>lp~=}jN{
z?}dG@6)+34<HOSXNx|3g95xoR{1C44KGOPrxN%QnQ?_}D6;r`!7oLN_VBLob&EvjK
zhk?Nvr(K4Xc@d=GB{CCli}$OZA=9nMkLcmmTT;yRh0`;IM7~a(nx_$Dsan80SYCPl
zB>yEJ+5LRuGzEi~jXHei3!DRV-$|1$;UE<hS!XT_d+XF$@G$T&DrG5r(jhyHs|@a&
z{?|G_6Gad+1p6}M&%ZCDMJEAlDlugJ7Ovxq!$NNLqrs1<*u_;HlkesCSFORu(wq}t
zG<*=d1(rPQ4>N`L>r9hct}d6#!d4OT;p4me4=W|7zbJq`yw8<I&0WY5d*zl<5Jp^(
z+kSY94pu@bKTkPOi_ZOqA9Dny5STSAu5#MtLsKkdH0=Yf)~Q1QUwW>5G166wc-D=;
zkMCkNZekf)O%Wj82|M#!PLJ$6Vg@Up9&5mNPCYt-cyH<B!w-2!UqM_yf%T?GW~uZv
ztIa!Te#1h%KL$uw=*$g1cb5xA5XAigm>%v4we{-nBF%g7!s2bXSEFnUOKg>p_Hh`l
z0>lpZ!v$O66LzsU^&&qjW><W=1~2Dr2V8FNEK(}}c<57tswWeMyg%s*YM}+hs6orn
z4ShJf@E?=8WYQMCWxrxi1};wWk>$C+d%D)slRpQ#%)5_oe9XPczvCzu3eL(MUmq!b
zdqw<uyIsT<c*Mb1FuzZ*nRgA`*`_^UuufMI*DJn#ac{ET{q}C#^fd@Jf^3ty!uOgM
zTa&F7X)#9~SMFf_!hzQZ!H%A<E}Rk06T$@A-ybkR-H#0ub_^+J_`RaTxs<>C$}yJR
zo`a#kra(*c_Y^?fM-WkQm>?M8(008M`pA0%Bekl%D8^>+qg5^;`)}94W_CS#y!fAK
zCCSDJf9%=#GXWgOe|z`VV>8b!9A9)F*=Pi=7k6*;or0e#2$rMqMYGtV`Skm0Y9Ho$
zGBO6Nie*j^QtdZQAMA}Bsmyn$5nsBLy16hgk0wAqW?q_QL!TZ=Z<!3X3)klh{`Mft
z93tlsUhCo1m5EyO+BcMFss&kveTNM1Y~}OQh9c7qY~`IV&t0>J4BHe^uA+s!0W{m6
zEnX^1si~JX<_YU8G^KQ~(s+?J3MMrWhF`T@=y0bQ(km#3%-5!x<~kDOk}M(Ke1SyE
z1X8PJeaQG!6J#TAcpdIDxkfiO-jld}oBrB0@v*Tnt0YPYLM&zF9&sm@70JlR0^<@B
z6FCPgM#{909mluf=dl?Tvm7ZaZJho&ISEOB$0Qh`e8;vH0u`0(udLe66je5;OVS%1
zO-)T-zj@=xPeMtVmXnji8O>!kh5i(uHAFkB6bb~1DT41o&RqgYwICz{jSCqE>m71T
z*REB$2s-}yFfbw>XnXos(FV1q!@Ou7W4`zAyL8*><YYfjcdr$4jvT`V5^k%(?XQ*;
zH%wygC&(6F5`_AM{Dz7AlpWM#7cN}*8KS{ft9NmC%Gqa41SUyv=Qd%C-o=mXdQU`l
zXRe_YPSZ#3y{75)nKtqHo(w1cJjVr%jhVLC<oc3_D!%HzcbwWjw`m&~f}=r3jYQgx
z@p<k$mu?Na?fwjsyFfxRb*Yy0+__J0-=4*^3vUg^-ti|looWmVjFY7HQ1aN@?1E)X
z{r2>PdEZyV{!+Jm5>~C5tQG~Diih0<X|Z0#fMkf_Zr|Q&FL7CW|L)x<&x2hCI=UJc
z%`*4GY#Ax3*NXS=M~ZI!>bnm`WfXin5pvYIDnijtG)?S#bq(yktm1kPRw}D<?whwm
zdNU2;#<UpWa9vv8u<95r#D=sRYyF*cMHyX-QO^&r#Xy>cXc75ODzfKcgHZ=QM>m++
z`SXkaa0YXdZf<|#hx<b!h}=l}rGI5SrSevfwW~-hdNOeb`tTqY7Eq$Dpo%?*YbWB*
zB%g!lT@Skli_;y3Pr$EShi#0P`GLDY+%KU4E++DNkrw`liWA0=eig)Dkl9fVw3i7I
zu)u{+55A^?=wqBcPq>zkKA2i+m><C0>wuTL5_Io%3dP)ihWaqqq~rX7@E>oeg^fBz
zuK&1#LR?3G^%7})lBI`Cd~gXzKdkjzXR2Cjo*Mth6=1U%9V`%1{_}+_>D2#eqz7+9
z7%*l-mm_}LqGlU7h*b+m0#A>W<K<<+f3_j|;yq3V0iho*)Zj)V(M03BSzB{C{_<b$
z_0+}x;$BI5H<pXt*5T3nXF|b6^W%$0dxd{#DVNdzGxmEBnjVv6e<8H|Tc|hTn2(}*
z^p}GzLZik$K7`UAW9;_pT6r`{rb>y8e`Xc+ueO$s8_}hhz#Ok#vF956GB6B}yCgb{
z%pdN9qf9=|P<8sb#<BH<oX3A%k?t{EahnYF#eYJUP`Gx0SEd~LaN+swUKb_6=Q_Ul
zM665Q^ExA-Ve!H5;p(8n#WKo{qU!Ab_dNU{f6!e}*7VnM*|S01_!AGR^k&v~gfNN+
znV0|gYzeT8`rN)Qk11D&=t7;sMs#Vd?hwX=;>Gk3f}1*rnpE!bnQ2n1e?_f-Olzoj
zseDvZ`m`$LTN>dtQA<dQR%|5ThC@-W{_Bjmw9}=oc1p>=EEwjDzQUqAw%mN|-^OJ?
zz-~V7&+^|#t9P-!F&7gEQQd$ui~a_>jbJp80i{gX>D~?8l%r0RXG%B)JA*LP8}4x*
zUt9WjvKf6SaF@sp8|HfJ8fwgSabl;xp?5>TiUlwJo(uW1rcZskm)_IJlqChHV*RuS
zyA`21&1PW72Wg`o%b=|q&kM+LU}31y{e#CI&YdS$@}G^zU6EQo*k03Nh<-w1iwIr1
zPbXSWllfc;uX?LgaON_aYamXa;kC&Ny<Ov8swve+=_<01hyGl3f(y$AKs|C!gO}ty
z7W6R60MWzkuM51E{WL*!O5-6RAu7VSFka`EEn3)RHe*i&9DgOcEtRU49~~@ZY`Z`x
zRC0DMSer&sISH3ZA|jKvvLs&qCHPK3Pzz24l)|R1F*heYb)bkPCL^0Ye8Tw6fRo`W
zP3xawPjZENGbMvZfBouJn?LVxqUAuIOVK5`6~<{UVed)e^XFrC)}~XWLs{z^8ae>Q
ziU+@GI^7&uwApVi?IEk96Sca!8X;<IWTb+z+~IjKWwoy!c%$s7>(6eew?6g&01Cjm
zn5J8V-8MS`6}w^Fe2GQ7D5rC}F@pboi}03KaF3B4-+KRUG!15Ax28c#k_FcKTA&1n
zcClj@3R6x^$cY~00CW|RuV4E{8AAza#I<7Ht{;msh8)?)VcXcSl`mj1%P1-a0&rCC
zE<{g%7f?ZE9Z7j_2`(#h)k$<x_R&d6O=S)pF8=w`fR>h)fss*4=HrdF4mr`Z^Vel(
zBAtfc(Uk7arI>Z6hV|!JrVI{hm2Pxv_GjunE!!SHE$0E5iMQDptlZY((A-FQ`Pwul
zhz=77(I}o)I)t8^TbY4@p}BT#ZEa(FB48eBTs#5-<riltbF790LVLhgmL=$_*zx5^
z748Gb$awYYEyw^^eKD#kj%6~GUx+tvdvYz%J=gG{gNkMJk@CiYcF<eqlJ`wFS;1*5
zKSk5OW6b?4>r4Ofq>V;F<hODD3M6WO>SuKOty-R884h8_kawhz{WivYG+7L<`V^Mp
z^_Ir}SKE7VrQ6&usy;!vE*JWkoQ9oUp5(Ot4BHF%8K`#_3-YqS;<r=aecJ2S8^&y$
zi!OAs1CnUg8uR!bU74gbnhM^;A}Mt@mXr&{LZ}Qc`amQFRNw*y1ygod%9U+PA3b_O
zLCplY=#aPutChJH6tK@Q$nJX|8JPx26XT5=ogI@g$4{L)^^PV|#6x3azGvFjhGE+d
z4;c;q<ycGuxTI?VQRi(5uN#nSI2RBtp&5GL4o_}$NaAJ(QE;U7nms=<s^B+vOJaFx
zYPA68SA6p{(LTidt{B*Vklp7zvK6(A7z{vzhao_8s2u?&a*r-3Ffgz)LswLIvsXWg
zb>V9Wv-)R%TmT&CfspdUf+wj@Ik)pyvIb{1K0eZU7g8?QpYJ3uP*Z2b#9XefsWAi0
zPovzkbYNH?avY7X2Co1>itp@Hf)q`bNj1F_FxJ6Ms$gPL(gamqkFLqyOuef0i2za8
zFPHC*6R|@jU^qoGb1O=Q<J=WmD(R*l3Q*iWKXF2(&W)Pi_I9c3hN6K%+~H<^c@iW#
zjP&&K4<CN6382oP_T2u)vSc^YdZqgN_e204oAnhG6s%kp8aVL99gDTGu!w!nUAc0l
zIjm?IAL;?LNO8)eZW9~`NUUfcPe9~#!U}Q8b4^0gsx)YppEV%zUQ1ghuHX%`Hdeza
zl_vbQ7u23=bU~P6$AxxEr@>DlESkySBtG6S4Frho3PuWpX>0u?u3YSB`TWI;`DVc-
zK%EmJGB_;zZve820necfz|_^NS8up)+eC_b=>*<zT{jV4{c#Px`mWAE5#FT<F2ITS
z_%RvMHzpdI+c1kA;O3^=nVf$9I5#~xadmcfmNV=g;NC$rrX62o;Qtz>uDJqEi>a^#
zfGwdLtR03y3~4ZcR`XCZbO2Bmk<kGQODXKC1e^PPoq?@vBmDx=GGu_AB`$XAX)3v9
zT~aVY2bVzu&e^p5;opch!2h`>ZMUL5cTFYa-i@p|BSQ8wZ=+nM$bJKDCKCXGZyaom
zxD{}=Fk}kem<(FthQ}#yL>>#u(_LC7U54qe-0ox5e_$NaMfv(d3#jU$mS2pvaRLM_
zO+EY0L~Vd-nntda5EU6218hO?jKEOXp&(j!x^_y{3qo@+6jn<@N&z%5sG&G7nvA=w
z0sO};9k||ao?!~Gs~Lc(u;VtmRCR+jz?%-n0+nM1v!s#r@Hv_V@0YP;Bt*GNWg9iM
z1AGZC_=KUM;cSSeRT~73T&E?SA@{W=Gz=*!D$-!UVwEOp{JDWJivRM3k()cWv*%zY
zHeekdb1SvfJ-}lmJesI6ZT!H|U+^eax_COuP1b4HC82C*iekvNfu#tj8V5kN@jOVp
zrrVGL7;&!kh>oDsVrP9YQ*dxFEv7%;I{J%j<Xm05P`w4`Y{({oz4YF3PA-2+q@Lw}
z3tmZ=3Tdf}9_?r2SII;1*I<$DdEn{+Afzkg>?mUdoP*3#$=Vwp>)~HSKQEnmfo^7C
zZIYaphROMD<LvPDZr^@ZSy^e2rPdj9^B6$=8Q=Hzm#YX-nq$~~O$NO}kB(c~u<Ja_
z<j<e)P26a|$VI19SeGa?h4ZR{$3TNH+<p?oCbPEB&y5;Cd;&I2&~557fal=$NJzdM
zCm>IR*c)HA_^U6Q8#Q<M3A4Vh@pLjD<50rnqp(|^ba7j(q&dK*MG$W`Do?Y~GcifS
zHcM_bUU8x#@Rk$acpv3;=#r*g+->-&1<=}WeG-cSPmZy;PAoQ~54<x5B<zUN?W(%~
z7}l07umWah(B*fN3x9%l;1ZvW7}S8T{rw%Nr0?F92M==Q65ps033#E*O!ny(K<X#w
zN(G&lW3aKY?E%^q2+;P}=z?sZnYjGUBY?gi?eN2pz?xLTc`PrGktLy9tK#voW~vG%
zhtUcwpr#ro)iQKSwLD1!QL~yp(8x7o5E3e>EDbwsj>TFYurBWcl1OLV84?f&pq&Vn
zaFAtMf@|V8j6ci|&)NAnq<&q#j$zTrc?;XK;dVfUSPzB~{LPscZZD1#FJx&66@=uv
z)x?M9T$hVVMY$NZlI16dYtcva3=EisfqYe9ku=Sj6)DRJy~f&*i)3W#bI#tSZd=K~
zrcfoGL`J1$zf79|9LZV>$fWAShc5*sBqU5nD;}eC3M;T9<0}C6=bCoh0eGMTu;GZ>
zt)-C+c#W2ZrXVc@ym_5bHVO?i>!Zf!d9a~6-69eC#@CCQH2SP9|3IE)2UM~SV2CN;
zpwZCy<`VySdyQGHK>h}kG|V1waCt--3(X_AS}r$`Gt?qlaw0o%?d|Om44&}yk3ueA
zfkUK{3z<>?T*bjnFS4jKQ<i@x^eEssB40FqUgYEL=VsO7!df*rDuyQ`VB`=Oi@;id
zE15}%_C$B~`tE#2ievy4Ir{@|*kBm|V4y5jE^L5!x5Yw97#qu@uv|`*_Q5)K+~ikp
z7K-q1E)J!@T{F_qeCNN$3;q|d3n$sdUT{R<^um~24}e%TnXC_%l9FmK^VqZR(RK=+
zdFSiv+X2zQe*F6@&WuIjmG9@#(1#Ms;5jiFC9AJh(zTN6g08DBl6rH(U6(Cao;DjQ
z%6+J>4?Z9sxQUI~4oOG~OUAw2%YMB5bU(~RAUN#0c)4&04l>I4cjOn-l=$)NMF_b-
zz-b)pZS_F-Oo#iLt)Z~)1TO~cq!6IT9;<cN!GPbOY!uufy@-fTLnxb*8w=_bKF7v(
zCCE{u^oHx`;}hsc9UXmO94_HY0_&Rud<%-LtnaV2=(d@cuhyf9@f+98UrATQeN4by
zSSJYLD_>ocd~-<wFdym2#H*P6A;)kXw*~H|C}B-l;jSmRr*oWF9zp_>Q5j7UYRs8#
zkYh$H4KWgRnvi*F+cj~cUL!%e=;}Y9_o2-qDDJ4+IcYIz6wewetu7<`@>W*qfk8oC
zsp?#znYOgAyRr6ZnaTkT{~YzLC^yY@Z#Z2!?_y5AfaiVzOlmG<m<Nka<&X*~PuU)M
zCeQ5^)2+OY6oX*>89WaF)fsvm;hlMU&!Fb^CT9}jleZoj$nA_2BfsNgvQx0ATy*{=
zZy)5kU%!6sEc0*!|3BB_b(lRqKHdp4Cl`90aMc94fiDh;$0wjz69M-My~vwsJ1Iq|
zd>l!f{R6-%XB|f8Lz>d6d$>wUDdMgM%nZs;4+F(U#AP<7D@2Y^yZz!|QOgvAwN$mY
z&#@CrE@#RVTwfVJ9~d`~ZW<@%Tgz*Kg>=dvJ8`BHd=6BHC4Q2}M%&}1bK&REFcZaG
zHGiR((sjJbng;V!@H@&Fd2529-2tdgL}WOK)|ocDF77aG?yrhSvN!})MnJequXH2Y
zO&%5VB?*{KuGTO5N(?oRjbOkgGVC%P>3VdqrCjdmQC(dfeDUq>MvtyrA}3_-Ba>|i
zpIImULSMEdN@spR0abY!xEs;EUtF|wbaSu)w+zU1u3sNXznNkAjwa1BC*W49)^RAR
z7bn^{yul%R7GrNsUgWg@8EQefLmQ5!qgH5|1J(-#iA&K1=a+DsD3~RBw9|r046ZjU
z3qXeLvHgG$ec<A@?wvrm>rjsaFr^E+s+?i#5SgI>(5j3L^*&lp5M_Xj8x2?{CMK^i
zm!V)=lQ)bqgw>~It%urAtSRK(l}J%GZY!<TtclwAOm>DRmb_!pLjA|KfuS@Tt9-7J
zWAg40bP6T_bg}{i!ANsWylBTL$y#@|m!k(<C6kcnTGR7|WchN>gY~1sk)sYEgN?zr
zCPD1`$Yc3YIvjkcKLxKWP>Fb;V1eM4157>Uc|$y;hIR1=DH&zS1qFQIOoiW|ZXI?g
zRH;dzZD=sco_%#aN*>}ZIj>bJC<;Oommn3DZ;29)Tq=f)BDA&~08Ik&8+ReiRsj>b
z^X5_#2nKXkrkRr0HV3RjA)q8tL`|-!SJ2lPInl4|-4Bd=Y#B>jA$u8-7nyF6PLPv+
zK`4E&iwWn!WMw@c%g`;aoRC;ZE+Acopw%6R3CgjXmIWkMJ61A41>&6jgg<Znn2ib4
z)B;|IC5IasUP+*Z=r8vwXAW5<I6}7$I$VHRO~9)cEtT!9PloCy1M%KpXqONIyeMQ2
zsLxWGcqsf?PH5$sj>m>FgqfLORh>3~`B5PZB(99Y!rHupHcuDJk35^gxFq@c`CY-a
zIZQ`7nN|4^sIKpn?ancQ213`Dl&!mocSLKk<vF8)QZ{H4Lia+8U5ep9;(-I^rEgUq
z-0-jsZd<QYu6bU9onOX-bY6hV)f^t|`A0-Vye<`!dad`pmcmDAyL=$8@Gv59eE7+c
zIVdJ-AfYCxV)p}=PY%3)X~P6K{>T-8W66E=E&@64(`UhhY8mFtWg-Q-W_q(?8?yNA
zrY?f?$ibx?wi>x(@sLX@$Q15C@Qf54u;7V>U|O@cRBnCIM~~+Eb&!duXB+VkKvj1U
z421`!pP@Jg5er$34DZm-)nTwRE*k#%gR~aoi#}KCwjl|XI&fE>{g;1B+N7!gVFFrs
zgV$9xFfd3mKLQ9QsE($1NM~r$1s7a^Rnup*SSCJ8q1n5p+BwmaqB^#+z3nUfq$@`J
z#Ti!7+V9_IK%Ws92O<hUy47F-Q#;)tXsZ~lRi{XR{eluCa?RMc`ZKJKz)1dGkOoC;
z9mB@%jF%>*gj6dq$9hBrW%I!rSyw!v9<l9qFKjunq`ZJ-155V$H6uPRES8Feg~cmY
zJ;?Xpzkff++GLJ%LL<jrD`3RxBvMe)t7bae?mH&OxL^3OGCGdv{3RK>AV_0r7-(pI
zer@3nZ{o!7nXCZ*B7H`fb*oJEDkNy)KKO0EY-MWWSsy-pXaK##@QEme1*}Z#k+SAJ
z0MIkCc{2-iJ$EF4TzKGj8HurdLm71EjlD3BtwHW4q9Y4~wcp=<bO3-w{3doc$X}qw
zZD!IB94vA~l^Uq;#{@PRbwmlfp;9bNdv1?T3M$fIWtD{*GvG960X*F#TEboI9dE99
zwN^uY!NAAYdyE(half;2ih5<GJ<sy_k>(AKpY46$s9Hg^fX05O!ACF9S_i<GG@Vin
z^X}AlN_-8QjbU7_v+<$!P}ep^3aUbm?l`d50{^4-SbyiaJ$AyMT2!a}a5rVKbV~=*
zzP&O5)doKlXSZ}cHiAKl6!-o6ZGSSZFItaTVT2HjRW&p|qG?-x*PHs4AIzgDX2bZ4
z&U3TRn3$Y=&b`qp-yD1-?U&NMph4_nE3XM@OuHoEmXgio>@P@+)*EUk0xt<+&+1y7
z&H3w=!&<unkGo8&UlXH=8;IRL0q-+|DmzluvuQAv{W)z=Fnl7_alXlA)YyvF&5#F~
zgHyF~SptJMh0meM6qIaf0Bk9tQY@Mzy(%AooWi5rS206CPXXX|AF4QqwI<$TKi+*7
zw(|Y2X#D`<k^3N@c(`_gO^=h6QcIp-cWa3agVv3%>oZqUy5M%qav9;q(ahbKgeAE+
z$F{DqQ3)y^K+pz@;<W*3I(46j7PFT?sFc_ho3ep;OM*0yk)K~3N=v3A<xig-5V>ep
zm%{u+<4jKv(<X9~r<)3)dt3LFM@G0`Nd{Ke_*2kgP_dbLM(I>O3=IcYEoZ$f9hg3E
z+t)AY@txuqaEQ?TRx5jXS)Xb_gV9pi_JS2|PqBnB3KVf`-oD+3)lwDefhDK!3m`5c
zS~beaW{@qIGnv2@7$?Fqm-Ra;queBrdG<?zLxFhLAODW>f++LRXQ23^<{bRsXp2y$
z8m>E1{7#GNH<hcgKKpDQ#gm<t9z2KvhzI5BTsP)|iyk5FzC&Yghpwm}lhWA%iGTrz
zbjXO>(^hu;$?55NusqK2CRXXDv8&jZkqRbtW|a6+s|}zwUU?uo%8nn|R3BQUm#Cxm
zmU+te@yH^({gitYz;EfvmZhIl^gn(2WY!*sDI`hTybkn;cTci*aUKNHPfwm;%Y{B+
zbli1M|6<jf(CK%n`u4M#U_rrTPv=Zo<0-TD6V-1B=M#7JLUk_=KFp%OeA!!PqG9=m
z?B%l0$tpxGESd9*`HoV7!=>dED3rHfS+{<PK({~~poT6QMkT1EI=@fuMToLd3}{1r
z#dsj{3#U>5*nYi>{dViB3;eq&mwws-Ms0GD?6aYMaSBE$QL))@{*BAP5Y?glOJKx*
zm~ohY18E*`;M=}F@2-60N{wCokU!*tYCN8a@?O(+{)G6d9~<Clt;i!#J9ZWsRsDNy
zl>i75Rq_wscOcL8RxPl{9|d&>AKM8+-GZlQXYPR5!NBQazvm38rRcivuQMo5?XGL)
zW4^7)lUFRj>u*bTo(~nY7@fr)dW_Q47LNYTb}#Of6pFj>6el!bAu;t`czE(d{oO?8
zMPAF{Cut5OYuvo2YjeWWSLX*!kVa<)%C&oEoF+WeIk4r}^;{_Y;Z?2cpen#`TYWSH
z3K6lfZ;z>xTk|u|JfO{d1N1XD;mF7zLQC);gx0}qTI6nrreLsU1r2;`^f%E0oK|;q
zi@<My{XCeOI*U=MKx)uml;^#o-miwfKKNvxQRxvNN>HR6Hceaf=U`As0hm&IKxxeD
z0%?_Xrh`vresCDz_P2+}A2uqoCC(T8NFpGUP?;_g=gP^-c7wF7tK7>AQp4G-TB;6!
zoie_E|IV0x0VtMi_bH;~n43>;KtjS~B?=-nRN;&I37RB`!M}CBjbX7+8LB9UseWH%
zUmtpfk5MeXbMEU0b$oIl2?AQyk&qrB(0{Ah^wC@!o;0|lxIQNrm$sGi6(BQP3kPo4
zFaDvStfup^*jZR)ASANZLcSIZTB(SLcHWOs{B~ae<%`Jg?d@euYN81um+(ncFgW=K
zcU}vVuIL(@O^8Obs=w%hllWO0ISWY?gNH@1`va*@Q~+)=1Mneht!$(~JZP?-KYR9m
zHv%9&TwGjbNf-E(a*Z_`*4BUFkgLQY&LB#J(WkuC)ltU^I96a>rJ)WWyYB-7uO=<8
zE&whzVQ~aPwYlZ7s$GB&QlW;qX<f47BeFeuOeTV_?fhi%57=doogC3e_MeI%x)7(t
zZOdw7X=G%_u1&2JFa=XsKPed*2cMf5lqC>>)E~aCkWsq%5zYNT-PSN6U2*sMKzZ7b
zSN$JO?w-%h%EZKfssP-E{vjnX-~}ri{E}Q&ZcY?Ei?vP*9ONB)%kf#LJiG%wn}dg}
zXhA{!OJ~GIqw4}`w6!zx{>eEG-7xm0F+Ey;jF)Ts5x%ttyn&JuOG<(?%$&$;*ipCA
zuy%L*DE^|_?tupBzw)@kMHU%U+IgXWI9AlnR<W;R+A$u1_JMz1<2d#GG_FRY>!ugc
ze;5cLcZZxjxKPIqdYU2h2R(g&U;b%xQQ%$FHH_H>vPu;jxP`PCpoR;1ie1Zd6iRjb
z6SXL^fx7c{12#AQ7B)*1D_mfk{x8z8!Y}-<q5e0@85}~C#)?1sSp8jx4f?_T0pHkA
zCh)~jmojMR+wb2i{eUz69J|p7SibmwaCfJ8bN=Fq+e(4d88t=+=A$<QsvwLaOxiuV
zKeX#_sSB>7gQsWYKjsz$xxZH=_a{250-WZVe-YVK734G^R7xV_j~596ol@iA6SH)n
z_B(ImRFGeVcVbBv+5uv>=N#h3iTV%Re(N&axeTfZ15Up1Xiul*U}UQ~Z4?A+>(VM^
z;H%BID}AplqZ%@{!B6k)`cR}90Ou%X(35l`f847^$-+w#Yr*kBy#H?v;Mg3@dcHo<
z%iqLinU~%4!Bv85r^O#A%oOVnJ7R2o%6;CUda&hzdywr%v3~wi|L+{)0u_~x<x=tV
z48QSqP#iJghCHadx;77C7zR<hhnsX-*y(zIj|_mi!3>D0ql5}OzTxx$s(M>F)Bg`#
ziwMlIBKR`m8svvRyZs0_(_nU51xQqa@5}R@-tIh%wjVK{2aTA$6}j@mhj-QI(fa!W
zD7<{(3sd3oWghVp*R`kx9q(-%P8*f(Zg!ZRAGZlxR=B|t2hnb>J1<$~?3ybq+vGcv
zlIoqc_Sug1u`0a6mE#M##W&3c?_M#z9)EaXC@Ydm(lnm?Ga!xFqt0RkLZOC8da)TU
zF1-+6t2n3)poRjKgl~<1yi9o9wsY7SYLyv(Uit?;vPoWEv&(u6B02zsU5IS`+?h~&
z``KBT8E!ny2-h=Mt>NEm1jJ*`P<NYqsmF+JUc7!yq-@#QA~k^t6nZSZ<DJ<jy@%;|
zR5Xf|`X1lZXk9q7U^S@1?>lm3AChVGA|zO?1D6Ep{4X*1R;7>a5pf%BUH>}hWIgr>
z_8t!U0l~*gPX<(pL>=$V^|bI$$w`MwU6a(=4{N9Zs``FOZN^<?>qqsnm*E})CTiJy
z%IReAs&rbSSoN_T4mR2k52#onzHFI7rodk%P;@DrEA`smfGP)eO#aE!L7zXz#a!;0
zkT@^?@y0vZ$iO=RtXf>)yr?Tk5~6M*>m=vSwGUWJx3wusz5eRu6!dT9D7K_tc!|(#
zs4iX)J`NJ&qwjma1y(QU8II|^3InUGK%o1|b`!5O1H<#sC(u!nnST~wD(2rfAYmR~
z8e}x%mX%fUiS*AeiKYu@jL>56>gt&By_QO^`(M1$mBE&#e!tiJB&ZdYAku>*ls2i8
zMfL^T;5U*4<(DJL`TSlwQgWenM)$Qfr>ZBijisH2l=;Zw5-CA+BQFk=+uVX%@!YMb
zwC{>+7LPPGU@5*lny8E_o6k@!6W8cn*s9ORF{@lIHfU-I9-jy<b$qH+{`d){52S!J
zNfnDguw8+A6M&_)$**gtNn7#HWbPXcM7S5@li}fI{#YH!<0%&3nY5rFG6C)@xqsw5
zQXyevbu&p1MEHYq{(6i;e3^|O)s8aEIF6&stkT<IoLy%`(EdwgYi2{|ngJI+!(}no
zC1D30cQM!-4xf8Rdx6tau6%!6xNw{zG_?4z+F$BJU}AKO0e^r;!E^!97n-?uTU$jr
zl*{!-wD&NbPS;tRIdwK<lF@e#^PP%wN<saFZnomU7XE;=qp=+Hoq)A`-$`1mnBB}Y
z@_G=!%Dm3Ny-1z$)+sc(VP%QiUH9{?)2lS$Y3!F=O$+K-GNl9YF)lnWjD4{X(aJnC
zdNxPwB%J&Vny7aQd=p#ivy}}MPD8X4%X*WV*cS})i8qlv>x^ID9TabG6Ki*Ge5W0i
zXS#M81Z&zwarF^;l-!SYL_*c`nA5dhMv9&E4pyW+^5*1>dwSxu@m@$CE%1gphNm?v
zu@I@{?|Ek2=dj*NR}4?@yYwtO&4$=WzPX@7C*nDn?SSol0{GSUg(6yJcixP=anRS~
z)?xrtK6RQ&YdV8|pLk=P*zy!9weEHSDeLh_%?CYcN4?3KM_FC`RA-Sv|5Jp9|N6?S
zm-Jdc0r3e8b<x*99pE;5wG~oA-de8prWJhti|R<sYxc2E_7*8Vs}JxW(6akf1cL-K
zB)a)-;BHQ00&?0*7fB?)=WG-FQK5IuWp=uJeG968r|zEfBO^q@-Zrt2U-Ra?K_zRa
zyu=7p&e!x1Tav1DRyhE_<4JKC=R1(By}RRk6xFLjP~CP+?bJRlRz=SR|BO9=hHt-R
zoRdk0q&R<RVUD<1>KDJOtW)E_;=T(o2Owg6e}ZW>;$y-2mkG-UGK7~0e?UqY9o;-5
zDjNB2=-UXfn2b_TO%KP|H)T}#9O|Th_0~x*o14h9fuDW9$ah+_(MNqY$LWiSuOP2x
zOFIJvh})YeJ2J^Ui`41bcN}9_iI=c157t<4Cdu3@=>Pt#!GaSNlo0=1n3xCAyA)14
zD&@xM`C7vP6;`D`&{-M>Ce{Fy<~QU$Ld>YFb>u&sA{3kCI2A{9@itzCs>@!;!+XwR
zhQEi5j1qC{xl^8}@~&S=Lin5(wE(0As6h>FqDa>+uD3w@y#PxM)wHp(;Z~V<18pOD
z-h*NwxSLgM#0aXl1u8_h?;%<s`$MZ~Agkx*Gs;x}XW|CgCCCqo8mFJVc)`TY-Q^+(
z)E&3VFSkoRpCap~L3eivvRUp66Z6Q?D3?A`46PXR>BX`~+qI%Jz*va`yo*W$);sUZ
z1)G$^Ku}GAl$>0~vK!}bQ;;9uN}$0U8~93bQvN<i*_pC8OV-r0SdA?$Jt(&FpaPlZ
z$nHx;$(g;)1w#=wfOpVFJ`0OfpEH!nXorSC{f0UgN%nE4mu;hGIG%~d9M^ZJ9Nlvt
z*W3lN@$10CZ#^j0A3dmIbO$JJfL*(bcIBaXW!;z!Dii?9z&UIwC^R$ylG0F+iHgZg
zoX5(%3JAg{lq!P07R8Y=4-{%g+o4XAFw?K`a~U_IAi^361%;+Rv72adRqNul>72bE
z{Aj9F;k$DiDVa-70TR@Hu9G2j0`#wFi(vW;H}<h(4$yZsGac>4n%#t|Z2+H~Ug*uz
z4^AHF0pr@O+Fw8)sA|ZYbnO*llB>}Lgl?K{`LIhPK(4?a&b7tX5|{cw|4;siX9{3l
zoC7$xxIi}!PWt$Q5-{B=aeU6Fp62&pG<O<>4guyd1t4>-J>D0k%0PUfOv<X&3T-pc
zvN&iLfHwPq#8@g2rFa*Iisu2sQE_!GLZue7fUg%F9qtM5aG2$sO_2zXnpr|~@e1qZ
zFoe&dmpzi-?#}%$_Y?qH0st}&N-w_aJ^&#8uqf*t+X0)JdwhaQ9^QpMyx8VQ!Fj;+
zm2Ta7k{|+Ei&*Y*m;)mG*x{M{{mgU<MC<!jet;j=GbboP%p1qG$+MkFHNUyM`%m}4
zVAaNdx(67z@+-uNv5{m7tg}`V?D&>K&UYvXqx6{g*lhoFiA1^;kUXylnkC(GKlqa-
zQbElquYJ<nCS1%{-D^+$1ggfo004u|HM;R}s&t7fHZ5&-&C9Ae)8^`ekomb2>LW~#
zIdBp&ueY{|8SuOauATBi_D`TKA=sY(XaIpkaakNktiT^+v3o&eyN3qHVf3h?<YR$*
zbVJswhOOWa7qOA3z%b32PQUgeQ3md7FY3&!ZvW+5_IFi4-N^)B3L6jg3ja6P2|1xN
zITMKz8|qYOf<9M0y+BFzUByO+=I`tv!+eGnl6WRnO}-SpKUginBTg~&aYaQsUdOiq
zS-k%zA&|beZF14&k)zE}ze*S0YMB3Hq*Dz29@=8icr}?^A{5KBuAYrUJa>leUnJWv
zok!1mPvMBkC{Qwy{B}bnXG5_D+0am3{_(eyL`sgsC<$SdbomwOFGhx9;c-7HZL|QI
zL%201UaX+4KMa#SimJ?arFMeHM1S8p-@nDDDeEdW)wKy|GY{ojUhy;0Ln0hxNvW-`
z1Xbu{*}OPp_i{^OBH7nFbo5t4@f13kZ<(0t)LHQXv)$G_t3JFpp!t<wQ?kD(w;IMw
zc~6inyh`4?FRsVONfGjMS4-#XxF2M`^5er>89%wyqqfyVULYs)Pvv}YkPF}&>bTa-
zg7x;fFILP{(hPf)(S})y@>6!>UN?L7z|Bj-36i0-{Nj2k$MwuqGV)%Cgjws6*wC{3
zCeCRU*{u8(uUU^B6C+S~_j}X=?sU>eO9yd8Ep8sSuUGe^EQDap-Mu=Fo#eIU!>5fd
zjro~P`ZEz$lUWNN;ntP#S$THiMDl%$NX6(LhP*ROBn9Wdyo1cMQ;vSg%!#@M*)jnn
zc$)N>Sd(g-o)G>~5*5sWvYL%|<r5~-Mj#(IHcPd0-L>i(Z~y{B11rhn;|QBd+d*w#
ze#tKT@l2wN;!qf;boy1s>#$O0dzcnziZnZ1y(<x|dhYkopaxI;T;+W6@P6qGRw~Zn
z6Hw5{y<Qacyeh0|+%lb{ZxKlpupqdZl8$#;G4@AmeNXKcF9h!Bzbkfw(TX&&kMZk~
zGjtr$mE@}ilte4dow*8s;!Z6s7+ycidj+YqgmRUsOe7s7y`iN<XmY+UC*gGVX7yP_
z!G(;hePsefryJ`r-L9_k=C~h@_T=WbS1N0<kOIHgi<h6g*881eh&>-$gyN?o0j))P
zdwl~a1?e{Cum8@5uSwi?PL_gvSm7Pz?RwuOYga@;eY%Czr@ZRL>8jx@{pYp5l_O(S
z&jX@Gm+BZ5h7Jdqv>08VV`<%ya6Ef+=NzKI?@vLxxnEt|@Q6>{l$Wq;jP3B6WclIq
zF*Xq$mw8_LV$Wlf1DBc;$b8T~o3Cq@jKilQt?lRqM^w`DLS^|F%rxBvi&k@3GD-8A
zSZplAgRE5@%bE<`^<Db=>rKKn<qz|C_Nqq$h7`8<>gqDw2cA5%q<rIBzGa)sGDo~P
zpz0#|rYH(@pK)a#r>U>wVAJD5eFIyKk&Q<MptV94jikM|WJP-7Uu**?L&qmz9@gF4
zUC>N-&|g$AIxx)qK4i!6{C%3*a@axjP4ul_Y-a=l`Y!ooTN*7^vvWF4w4g~d=$LI7
z5~_08-a|H=&@#;*00PR?XAG})8|s&|`W@Z$O3~EVBukoLX-P@}E-SNpxh~$aypICS
zpGD&g1p+)uww|FM`sB6n$W(A9mj%6WDMPtH0IjE&6y)rn0ALNx%P(JvM?VH_1d+9Q
z`}TLxY<~L50;}bcr+EUrV|GB85LxR;8;y>BXg44Y-tltFN8jn<O={L3iToiC?+`c}
zW=ju94v(au!?bCs)+vV6pFvORbGjF(vj(oKy2rvhuEu)`(^=<d`O(odb9EQ4<H;SY
z-9o2=dfGblUEr+@cJGFV*Wb>GBhTEv*DxBaXwKR0yW#d);<5Y)3So7iJb&^?K2??P
z=+>J`Jljq-8p)mVVuik1S^8p$`N~=f-Vmh%_qWBa9!&k>S}Jl@hHft#=IYY!5<W5&
zE)31XHTw#%_fX-3;)dV-d|GrqgYZO=>*V9b3Yxc456+r$98s<rUlK`;sEDaVwnwNc
zN<R2N-vaK3rmx2@95z8;r|se1B=PUsDNt!U-qMb*zN`Bo4+DM0ICK0=prMVogpu9O
z07)+;W2T@1PuPV^&RLeSW!gUYxVUNtNn)DeL!b5)`=>~HC)w+Jy3IJ4DipW(vIOxb
z`+jlO#ho>u>_4v2h_`R8`JzgG(W~lyB6rNbWdP;<VS-}@qOMAxa9wt3X|y7bM%)79
zu4Nw=)LlZ68sB`%w(Y~FjqerR&1->R2fvm7)8>aPD<_(UobT$pR-4Yf&1>#?={CoO
zX@@?@M5~3%n08T~{kT5e{lu}JYO`)i$_UE=q2fFIxQ++YEeFID$^|jMMDyv)YmyJ3
zsqB*ug{Ob^LM~S~+PLPykrkkE=LL{hS3F%O^NTpHXjl(-RQKieq!Iw&7Ase?rC8g0
z7xP^BdjN}E`-ZA+yw}i3Q{QHdD$jgEhdSDnHP=>>PQ$RWcf((^NHQ|KyA9BKfq`K#
zG_;L}#DDQKg@&Yb;Ne;ang9MYYwoL4J<zUldKve6d$z*_ljeJCyO|Nf%~oz1R@URC
zypyU2j}9Hxk2PutCdtK<KAqYNrxGg=&pJi@W!w3=Rloej!$Uz18v2bmz{{G&u46#u
z^{E?yMu>>VvVo~sQ?~gmR5LXE10=Xbt9b-D7xGxBN@y6qn<*r6SCF;W5AekJ<$ZfR
zX{~u-hNkWz>;Az7LVIFM3boX<KKGR^olkjLS$M8)kH)BvA<GnvbU~kQr9rS0E@G}T
zq^yA8RX4?cf!Hj#uy+e#d_z?sHOh99xOwK+Ko9>|RpEtupc4R^a;m9W+H?7Q^%22c
zPMXOa6P7gf*w*bY%|<RfZiRmg+Jx|tx^Q9e!WGt(>-krOzsGO<)afTloMojv#%HW1
zDWg@^GWj)A(CFCOfeey*;SlSU1ENqQeT1kLDUtJk{Yj07?5n8n;YI`YM?LM8bbhw5
zSwHpIj3-w45Ke*L%a@flPKWMwRAs%rl~LuH?3K}?{GNl{`^3*nWx`phmU;qo#-yO$
z7Bqfe?qRL!imea}$%RShXKerk%R3(!XBThEWSxoGgZ8>$(sK%%q%IRR&qTe>lc@C0
zyP3-ADxCBSU~?B@ZVXcH);iKQ7yybW%w1M6sHIN9{>lr9JOyzrtC11W#y!P^=HfS$
zMwDV(6GS$&t<Uk_U%3{$uA`U49@omG#Zm2})yrd{^zcp$jp>5{6Wj=)Z*Na`(#QL6
zx&16H6$n#sp3T=Y$UGDoC$B+N&bcC31=OXL%CWsy2e5e8dqxF#2o}%UaqMUP;4ym(
zC>yK!{t$<CvGn%d^0z43ZmdgXHYethqEmp*n7w}JYeDKC-#GkLhQGYH&9KqX%KqM~
zh26m{f(NF)j-d%GnqoRX?KH(m)-<Qf3P2zAac9qwwRY}>dhYtL)oXl~Ut_FP7v_J1
zfE}cRXrnZDomZ`5|3tXClg``25p#3<4g$FXze4vJT{qPKQ!fdRx%U&AhM_LgGg~`<
zGkpDKAnLOZv>BT9C0h)cz{`SAZ#aHISH&{{ysSnEOP|Xx=&=F6s`SECw;;#EvkNQF
z`#rTKmU?5ST$w6(Z0Ifd;qnW1@$?S!VqZXc$B=d5p%p+#o?G=sp?QC$E~T)xfJos5
zOCmVl9{~}ZavJVV^^DC;mvB<QbS6*dw!a;8iKmpy1ku3f__hvY8t6S%wm-Z)3)-`P
zmCx5$`&`=$?p~20=XXP-2hv+82au3F6DODcuefp47FaI0(;}VZkdt2`(3I!HihC4!
zw$#mwmpe^U8tpH)_~uBt$1UkU{|w#g^jWeof{+0JwrZ?IN9L~t)Ha0<h_BI!o;1s}
zuhM1iUgr^}=U!q+GO;FG<%{>Z=U>vq8~sdFkrxZrUY*<vj}${<rsy>cG#NeKEda}`
zZa~5Pr_DNpk#(<<7+q?-JRO`-NN<ru%+;&)XPmV*ac!Qfp(3jP-^T*{<MaUZi~tai
zB-z|Ig#?-Ff`>J!N5I}S^jH8?kA6Wj=ZYY-q;sH$2AmWf5*#qtw%bpm0gVPQ=#0$F
zKp@w-2*KeiP~U_4_XFA~uXaVMYG=hNf_kZDXGJF>oC)M9e>-%b&1M}@dD3U0GSOgB
zMny%{?Db5?Z*5|TPjuLSZK9NqSG7jh?eO)s@h@C}*!BO#Jf>np(+ZT6$-or~Y2!(K
z``b@Yygv~nhM-+eaJ<a__P`_J8~+UxVI2T%)?q%X`UJfrs>F^4SuwZrTy(viC#rcy
zPcs2QmI4(006}<<2t_AGtR8ONH-J`3klLdSvB`O2qAJ67K~YiZ&_~NeM|TH3bEoes
z?a`6S^LjT=RK|pg>7m&G6vtiA_7WT(t|`-1nL<XNZ`cq*rjpX727<B`ATTKig_ga~
zk&&6gK|{%%n;?|pVkYrjX_sar+uK^=MTPd)-~@|p&~T*`+8)Udui1g{hz#_Z+#ppo
z2Vrx?MPb(*I1@$>?Q8wWv_&{6EGhv?Nq=a=Ap_|z4}c{a!qvNBt5M-4B|@<v@vmXY
zAAD#rRMd4>R+fjyvfqG)mR8wr^6*p1^z@L^2scc)A80gt(6@=spZEXp;i5h$Tf4OQ
zOU_|sVgr0&=0`0$ypug-#S7h9CeXT+-MNXX-Z`A%3?F^KpSVC1p&IY7o3a`eEe+DB
zYs}1z&Zs6h`F6R=yEXmnK0g3?$gN8^LO4K0i2Z<=VW}{T*E;GPHMRB6>1kEfSDtAl
z)5iPTD>VeXgQK<<ASJj1va{qI*-m^dY}N$m!a=o%Xp=A%S9lYu^UZ_hoU?;}7u$6L
z;lvp=BR3^2iRPAgII>AuUOomoi<22Utd-aI??sDfgG8zaM3}0ShP&~vBf?SbiLmQ>
zD=28t&Iwdc`<ztg?T}SQ`qzUy63ud;w#zkcp_(=vhjs+C$+`!oQIUnasu<U~$ou2e
ze?gp3S!m~UTzq_RzX%IUTK(L*DlxxkC@Nj+f}R(mPn5x`@7A&%=2Z@WfmH&UmRo72
zoYB?_1ktGk6g)GF#Y^3Q5v7BHsuPOtXM)fP?IM|@AFx*XxjzU88wt2=rlyx4x}sfn
zO<zt>yUTm+H0UPB8aVU2B99+JYeYPl+iYxrh$0+YlhCl@Hr*24^W)vMjj3>J0H@Md
z?fDCyRgK95pp<Jfb_<k4>LAbRI67Q9GCSPgiDD%P1oMbPwL2&~Tz0r?o~Bi(811nc
z22%gA+4fP~87$@m^qeL*Oa>q>TYgVKySRaa@0>=Nc&!D6M{w5?MlDg$=3!(CmNAER
z$b`)1!$v{XNgyFc&k1VQ2goq+!r8Mia8^t*pvuacInjwfyafN8q4U1_;Ug;ZjxYY8
z5`P~Z&6d)o5zoCB^g1FM&J9w5Yjnb1V#An0qd17zV?e<@=XJE@WysTU;%5ur-Xt94
z^FJVHl1VMIZLu$;-7wGyZyEMytbyyW`Ak7{r;%;sUt~Y4NEyEy4^|Av(9DB`Um581
zHOKk1{A91ALzG?z4Vy#AQU~Meh%A`rI@pDvcp(j{AA>%^EBl4&U^<SDj<4RTUg##M
zN-TP)z~$^pA|;apM_*l|r~jb_Lh&rGBTs!$px=SUgm)n!Mj#0EyTsq_JeQOZv5;>$
zV1$E%a}o5MJkYi9;9jIau;GJbd6$+JP*~xobeXxsQA&5r%#zm}5BFW5EiYOH+ynz0
z{SgU!{{8z4=;r$X-RF;%M{nvwNB$jHZ+|eY;rrCz5`wq(;fh^w@C(<l*OA8rNCIj|
zb=~!DSPu^ttThV?Z=4&IIO$EizEyrSWYQk@N-tN#AJAnuZR?kfNH?h0^Z{06T@VH7
zKrEP>PnQ`tNVm-0K~L7DmF30IvSSJd6J1IAZVBLDmu^8c{gRhx^*JO(#igYwRM*qg
ze!jcuBpx1mLY03x;IckVMk!Ot2a+z$ayM^2Mw_Q%!65E{37?~&Fc*UMk(%Gi_vcmf
zAMl@gK7at=Re4bi{=iub|2UZ8|NNxO>c4fJ_IA)>dF!HQx;X+sDvyHU5Ju!e6(`}q
zGGT3O<h>YzBfkLpj5wG>9l&3UHFbNe^5@}Df&0)`bOFv90%hkc=mMGAtlB<H{B=^>
z1?V3=b)JroT3Sx7r{K}V1@JOx41&fuXlDwf0c;zjqYkz%X(%=e=bkl3L;pe=dd`E_
z!MrXw4RJK81m=KEI?T39fRG&Ru2?LZX9c9be=@i1=+Nz;<!C<uVlpuZ`iD#1=3%q-
zgANBUXE@nts{IgjGxtG%%CyFGY&7BbX?O*`-~gb<X=BOj2u?ld?t&#rLR%mpuAwfS
z#&o#E1#NLd-3f@98Q|as2vc?<UjLKwmqfa7P7V71U<lA^p)s8WVy~tT9OBU21q5>f
zw`n_#KO7_nKCO^u79t~@77+j~3kl%x;LIT{xNuOD(S10Z3vDTkmkyl+;j>NIFnat%
zsE%tLWx2rb(+w+(agHBHkLa^I9E6SlRF;e$8pnl*9PO{U?yuBtfHqcOKpPI53XFrB
zGKI7I1Z+mV;lMBk%<F&vHYZA$%XaADr3H<kkR!BA2`tst*3N^zy$3xq4%!pC(zP`q
z&ME`S53L<vDk{V<w%wO8a57dj37gI@d~a|tM+wjrJ3Wo<y*diLiy5JTfuEs^M9>-p
z+_%CkK}DGYV0Q`})`e={&~p@EH)7C<a9I6`LHiS!HVQEq%>Sz7+<uab!#Mt0ZFUnj
zTPC=51GL&2*-WU-Oj2>6HEyyEwP>tdj!rYM14Gw^>mak4qApEk*@{G0o@mUhxni`I
zSTLrp*kleTOkpG?iS>P$|3Ft<arnLO^E<pepU;=Hwc?QZE_fsS+bNwHtZXE53O$*<
zIB`K$(db7^kZf(ES!)$lh>eJ?`n!fzc9!&O6TkR6NN6)EuEo5wuGW;iz0Lz!t_QqN
z$FZWq!j_rKIJyv<Ny&9cnaD@s#Adzg&k(RBYeER1;7{)Oigj9TJeMx8W0#Q)*$y>V
zSg(pVbb}S_L}rYE^hVeRosSCifiZxj1LT5)=kU1R*A61wf&#9H9%1BZXl4!U!cq>T
zJtmrk3vz;NXT(PYbF|=C{c$)~XjNULK8AO^_MX3H!6^n;=pnVQ>VOiGXS30`XCf2H
zM?43=%{UL*-3gY<ggs=RP*~bDbo<v*>T;Y;Mcv)qpU=DlMtznmX`n)OLuZ7I6%ctd
z7}*40$+!jR9N{W|2@z2as@Xs9yiekZcKL?|bS$max3F4~HTY(z9k4!Ksj>A~AO=Y5
zCrToKxnbkI07Ojnx@7gSAflBz91b!s!LM?qNMz|Euo6WoCI1rg;xHgfZ{JJwU0y3J
zF=Vv#)42it9yc7=@|lvhOfjq%O4g&_L7otfW^QPootG#r56IV16f-C5LP@XwG_%%`
z#JJTMUj5V5QIJ=s7B$t?)dpyD894mW#u0Yrr?5$sn|h@xYSl*klOh;s=P^+@*hD{a
z8*}D#K}_z0*xOVtOPOaYizP(0R`w}|Kdt_T2-<+4uLP71KuooU23a=Dg+-ligMTk}
zMG<4i#>ym-%OB#KQ+yarHjj;)p&6Nm#dr-tGHh_45@gg&*=nx%u>1%HBEi8)PTGSH
zhY_rp7|LTurhx6-#Do+yndq|N@a6i}%RGOdz8O!Vc@jze+jz8$5>L=gX^}8n>Nv^;
zXAc=#yLBP)_ZvRL6G3v`Hal)F!Ls`kFaN#z<E@duNnv&Cj+?oLE_@OrEj(G!e_VOz
EA6s)gAOHXW

literal 22268
zcmdqJbzD{3_cppf5hcVTL_!pi1`&`3i|&*bBm|^W+5i+#l$7o+r5hBH5^1)uNfGJp
zzGLb6o^!tM`+M)bpZn)MpU*zBH=DKQnsdxCp63~3%$JJt62t_Q1PFo<OG(~QMi5+Y
z1i=|Sehfb0=^XqC|L{B9z2~4}ZQ|f;U}ucT893NHvUYf6W_Z!b*v{U}+UhzxKl?S-
ziw_+fZ0rR%I4uAE0=u=HDM$DD1v<FM2^&dGdjugdKwmf+qUmM`qHZR2=ccMl%>2+}
zcNNE)!)51SUfl%3yINX|mEOi`ioE?)=Q?j1RcYL(!qXAE>vd$ROqcCAQNlCqSI*=0
zNK3}(advW_mT!1BkK%;MX|{GL_l0*|k+bvk>hbj@duTS0(mcEEvUbyMrLFm@u;uD6
zx0;bvp7Xv2$6-J?^>g#M@ULR=ac}gkF9M&Qy8r*fH_Q!Hk5`SjB6ai=6BEsctIFeC
zXP9F7Y?Gud_&xW^z68<c&tps7+(#m6+JESCR4qMi)L)dgv$Ny&+;hp*EKHNuCl^~k
z`xB;XtMtTKh78;BFD<RD-8<{EJP*DQd93$p>`bS}pQEACyTU^y>Zy}ovy(;1W1g}x
zkJV_gI9J{NL#xzEmnq+oAO3TNuV0a>c3scv!W>hqK84_@W_j-KWIkwo9h@RT>!Dg~
zf$593uE}f{J=D4FOH`ibArLFy|A^Pe*Vnb6hk)roB%gtULqR=T&E)!31H=X2%L7r(
z#9CF#1v@N_-js{xmD8<sQkx$rCM6?FJ4r1t6`~-*v`iJ!oRS{rDoyLY^hB%JJoU|+
zQ*7ELvcV2>->(VpE!F!61gJ<#zCeG)Z~v<-uF|B9a>#wPEjVSY-mg-={af^n_TFEj
zhuc8{4pRy5-*f6Z4>|7C(;g(i$RGdQ&(kavX9$rZBxCJp<*3bZU7ukR64KGs)HL>-
zH>mf`G--<xaGHC!P`#<wo1>}XIMdTv*e=52S5GGe7ko3*lX+PRog3Xn`@OAYn#Z)r
z9-*)|lGSstzk5Xros<-*5Qlc*&8a8&G;i8Wx}V|^u8kb-k7yMby<Di-wJM#=)hd>z
z_1gP@t}i+|^PY^i@-cjg-(m$TaSdYy9E%*Lm4#QDF1NI_bWL?8JJu85c=+l032Axx
zz89x2_f)$%ODSXWbgz)U9=jmoUS?IZZ6X)Rb@!@#Oo!lNRWk7f-iO!{OaIre*}HdJ
zzJBe=R7oE!LGP4@J$qF?wAZ{B9w~co&s{UO&#t<peoS$s#-le=<tn-;Eb2KO7p$ui
z)8wLOUS5q;gz<2L`3Nt6K1<1Gli;~oIU*H2P-3Z_H-6-z7zLtu;@7uW3rQ~ZoO=c_
zLXW%n?0&xZaQ`E2veW#4_`Q4YY}clgE?>RcIM2@;-S%*(qSzK|Sz2xxVf3!e<iX^(
zSSu{;<DaK5i--*KInIP)H$FbYzo4X~l(+A-Ippk1|6pOT{E8k2FK-|Ew{N4PX9sGG
zn$O%0ej5{`^J`OcAi{v+%S>-Jv6OfSgWTY-^<zD^sg6YWLzpqEe2?*0Hz=tE9BhU}
zAFrg)HB;QM8dRG-cIrDH9#Mkw`gFGhtgw=yVbU=Ynw%&ei<xc(Q8lpob7W+{%$+yp
zG>uJ6vfMTob`EwIW#-aN+vB9ArR|1p5Zw+SV^cmn*f*x|m5&ve*qOnW=5t-YE;FQH
zt6lO)NnG4F&V5CybosgSh)1bb$)ik;+P#9Wi}pKf(^@s|<yZ~d+kPh<-D)u_13{t(
zW!U|Np~~61Cr6C)P9y#{1QcSaQ6e4{Q8%pf5)v*pG&E%14Is;FCXoqe?F0iW^4N8n
zn4GMPd%zVbJvZ5PzT~PxTu-_EB)3H$Yg-ggb`R!TQ&X9tr5_1xIDPTM&ZN%|U>o&-
zFStS)=P3+xfgQhg?OK6WZr*O`pj|8J)h9YyUYh!qk`EtdSOn_7g$*`6*IyXnA%~Pv
z;a>EXb}YZY=5@H~RWTXo){`tjvOi9HsOauq_4L^@9_IxekF7DkD+A<<!XX5vxH4U|
z2TS<G)B;64n2nyT(#sOBLyy~JYvi+IQq|dWYpYnvWPIXCkcQI;j!Q$*-GFnHlv$yn
z=X{<&FDq$}6)cr)&sRx*ed*GrpEi6w=?d{IC2YA8O2L%8j~Jx}DxLE!ob29KyKPp`
z<ZG8&y;P|HFT$b{8==yNVGnApRzS+mJ%B6wG#I{ZHnP+Ga)-GpwAnP?L;cs}2&{)z
z(Zjc%;0w<Lk&7B@CyNtHb-~mP4uFqQ`tad{D;VC8{7nws3e`&IMW?nqCy9yG;zc|L
zYs`DI)cQ)bvI=UP9-q^_x7)RO0*Oe%Kjp14=&?EEy4rTbaWd9<X0!INnv08z+hfOp
z$D&VGbZ_Z)<i<6}8P#09YAx7LT@QkU(^69CWBKjHN4yTJVe2GbH~l6V9K~yyH8u6H
zdUv7H|HTW%SCl-kcdznT4c^PI-iY!gq0NgEb~A5!LzgG>f!n-C^1+wD%%V+NDyq3<
z%t=B*6=mgMGIpJeUv1GW3=HDA+NF6bq*BP1h$}kHmZd{!Ui-89(h3R~@G9$_613CB
z7`<*Vy4I?ovNAr);VR8~KN8H3hJf`R6@}?o=i$!C>!xc17Ww4^c=-6U)tkd14ThcL
zL85tdw|yVNqz4ml6ja%a-2%Tae7Lt7#c!W>>?Bpj`Ya}5o6;MT#ii%AG1s4^kstRZ
z@O(1-QK+kdCBg}@-K7$Z?yA%<GypS1IHwTgVjV=8|NA#APgK3Tr+b#i8%a-}{zw@E
zS2*iyFtxY6DlIAbrl0Dahr!W00zL?rXU?9j)&+D_c1+?mmD2vsdbO^v#wmp5;-yQs
zl*dREjf_$vvf*yVZ^Ob;KYzZ1nRK~$2~ij8G#hDZlEl4;Aic5|Nk$01o*hA9N8o?K
zj%(gx-q(q4J5}nQ^sC3FCPclz$4UVIO)aa4IZ7Z$alyB#XlX@3aIVrN$ckKAvT0~+
zY&9=-tvrWdypiKa8PmHnpW&0V7=B=+qr0h|9Y#Z~6J|hB(EmsP_U1_%p^Vx5T9Nx4
zDTJz~N5w9R!36Wi%3on%U=|V@#7-noo`B`Hv3Y-zR)jUWEv=(N(K_O2Ld=%+g;S$b
z)gOyTCy!+eZxM?}8c&civRyCjY3$;%4-3;!Y#_x!_D;lKSMx(&a5cBEbae1X^E~{;
zKrK3X(E4~!C+}F>U`nDr?`rFbT0;t7@j!~ickd`7Wf?3-YIMOdq5-K|cYw4l`i4Sh
zXXh~c5k_(m(=0NaQ^t05BYEBZys2@`ouiuMUi?Avt-Yg~(V?yk66uAO6>qFJ?NX1Q
zo1UI_g}v9CB6SwFJL9!$O8dK;n3gaW;SI{xaJFs$K}F!;Q&Uqj9cTNrs$4!W$j3~5
zz+_~IzoML;FCB5h@;>aixWBjBKFoByOx*pODjV*_7J3n8Swe9K^=I#FFdUP8^`<(t
zp~QxtitpbsZIJMJT&b#h+Bz<aA3`{a3)HgJr#ZZ~13dSZB~W+)zN9ZhDOqSkV0Uv-
z1H4*=(|lHi<18~Hqa?V=uo`do&f@d=Y7oy1A3PAgcUp0KD<)Ixs931xt)g9yNssHi
z75mBzcUEQ2Ggf(I{c64%AKGlx1sl<E#A7q_@#-&d9bsQyQ)fenl?ql?QQ^5?hoAuC
z?c28%hX=ckKR%zph@cn`(3r)+-Zlyfl9H0RU6$_0ihAh<b3gjdDZIbdEiES()@-Dl
zEdGi<^E1<EQ4#kLxE=zqhVd`2*2ny4E7n^e-ZeSylr@1<13Xy-2uZ37VjKE1APdK-
zj+=CJbXv8Z)f<Z=`8Y?8F|xDEgQMzcyD^eO%A#Jj(VeZqK`r8b5B$p?2bx}_Qg_|t
zt73PWoN=*MZ_-`Dws_Hzd0PN${e`9$qjgURNJud282x;XnynvNB&TiUV15LSiqVEX
zD9r98)X#z!bK@^<-Juhm2Cf#0f~A($#O940#@@@nGNZuxJ?t+q1~3{5&#m-h8Jr-P
zJ23^PnCZ8e&Vgc!V)t!3YCapWXUB-`EGoSYJv}!1O;Jb{&Z?ONsLLFHS#XN;@MDRy
z46=%_-NVAe(-v!X^LkuqT&L)$0q$D#<#a-*K_jHGk&#Zfo7<QVIX8Ia`Qd79OKgdn
zlT*n;#VmWSPPsC`r*3e6nE>ioczD!;i(Hlsd-L`6(Tl^r?&|829$HL~_skMKSPpXi
z6=}K#xWVja(_2cwW9s>O^L-1w8v4Ean<M$Oo?ABodPUH<jN*X9{}nY%Xp;+*LkY&y
zx@=!gS!m;jExAVM96E*f)N2)H!((@&nUkpaQU6MTrFx!DCSXM+xJn{wxPUdL;i?#z
zlA)(D;0j^8^i()nI4%zBl89_2SP&Vgs)j<~H2QE)70^7Oy7bSp5XdD^TnDgN0q~C0
zjUk5+llHjW!9j~%k9V8~PpxYAop>w<RKeEGF?q4#uc<Qoa<yl7X7e$hU!LtPGE>oL
z*O8SCWF-rLYyZA5M3<g@c>s*{zQo-C-7~@1E#|&|*cn>%OgHOJD=)sl`{<o7(fK5R
z)MhI`n_Iqp>x1v)Pgf%t|MtkNo5<QtgO6mE9_2wLHG>lHqjki%a+P!XP1!Os;m!s&
zWU2N1y(-77FPwqdCH>WIrQp-U-o2X|2oDWS0Ske3!xrZ%C5u~)Z~qt{Z|!v}bzaoN
z!^4|Si?*_}g!PU@1NJYEbC?egBuaPt`}<wNYEU@MC?KGPT0DR*U14wIVz*5za5in0
zfF_0pYsiCp0N-Nf!5$g8xK^Uvu0OH(I4RpphwNMgiyz>*ty*dFqMfxZEId*>$vORY
z{kt>OViD2jki(y^RCqA@Ue&S;ArSaf#ylWyRu0{Wl(iFxB^|c5y-P03PNPFeAWeJW
z@ifysib>)<cQP3i;&KjmYY)3&_xGmBT>y6<)ORn1xrVlGVu@b`xG!S}CEd*|-EJ+o
zp9_cLe3W|caRbMXVn5)9uxcp$OjC%@BP3@Jb=ey%x33uUz2NY(=`=OJ-REKtU<(4y
z3o*gL!9waXfLx7AvBj2HUQ7wt8Vd9BcJHRY4hU*z5uy7j&HLzk0#G3{*wyCUX|HDb
za<c)emKT4}%C+O8(im(fzA=~pBqQ{D>D5|tvAfGKz%BNji_t@wnzI`+!QyKVnJwOI
z+PfM(d_U~AMW)+S8bN^xJ4K!5b6GH3T=LDO+s`-(@wcL76nd+8GGf254vy{UyBfzG
ziv!3DUN=qKs{Agx)nFSM!$@K8x4pY|yV7Z1IhxmUt?mfP6vTn>Au9}OcL0gP`P#Hj
zgCAD~l*VoN`8fLRj~_px8xsZcGu0&EAAxJ|z-~v;)cN!0UAHG9T8j=L%IXD>bEu<8
zo-1;#g(W|9>a7L%UNHZ3pdu{v^mj12&blx6_ofxRy3h>`<VeY5XRY(_VDZp=`A37*
zb$=Y|ar-p$$D*1EM=QHC&GZj*;Kf==66^Vrh`44h;b1F+)064Qi&BMNZnLgCDCTqB
zT*x(zdyIm#K6seCFcuASz(`z?vO5sjAU?6JPj%jg`zQgeDFTQUgjoR&!UC>Z*mbP~
zK->EF2SH4LW<V{-<F)_w_3e<AhTlnQZr8Pka#7rwvb&yuN6`y8&JU<TjMV^=H}vI#
zw9i=yVB0Cc@4^L??gpbww|e!PAYjiZlvM-bGY8HElnTRBYn{La=I1CYt|_jXtO_jI
z-``)^#3b#~<;%h)Bkq;A$3;e%q+A`vSbUCdf4g&PE2yeUh+4=+@zsSJPJ}GRN)FU@
z-TftJggx#GKP$G-S|6@2JvvA`mn;#)43Qu8N!FgL7px;x%$QeJkGN<Xdw6PGjltcx
zNq3V>t~!6d_X4ior_87T^<1sgxw%KhX5HduW@fGn<&zL6F2fW7{KBa-1|Fdk($q29
zdaO!JD=RZ0L5!n%E%+oAU&4zQ$I<5pIpOBZ^To)h3@As6IAHc_FdZmD3?&Q^b60%b
zmUlr<GYww9>}5XUAl@@UG-9-2+BOrju7DDCSa1_a2#5=&4&!F$D~J(fR0?975pQ%T
z#o2{<E(Gz8HzWegDCV7r-+@oc7vt(RZXnflTbGjg`z?8V1c|#{uyhmeWI6+Tf9gva
zr_8!BLAVWLC2Xu_BQCSujrn1AJVg2;c$mWG6rB09+zB2}zt*xdl8h$7UYs6wTU>WK
zFH&#BH4WT-)#*Hvby^;0H=*Nx!0>tZ<kD6okM+8WfR|pDe(lc(5<$|ZPb;gc_G0jm
zGG>6-q539i4wJFU?QvaiFE0d9^DCF_e-k9csuk!}yG|eO*B+(=t&;~wk_DszV8~+M
zFK{B1{B|ine*8e$8SDp(=HM&ADS*ARVfw7*M?7~edCYs79BVTgZNa~z%8Y|U5rgcz
zi<LupqWjYd{x4sm$Q$V4;F<M#h(RFuI94y9v5V#qq^O>JeNhwx+1lE=E`7v@$dt)d
zTbm?+f0BwZr1_`%4MgW8&MC3&SWymRBT4*|lGU!dL{B7MpBomnNmyE5oy<;&*&KFL
zfKhamj(BE+<JASX(XleodPPb;T?Ovl?Mr-NZPDvc8=OZMkSXI2p^KE!+3LAn@EpZf
zLju*?zoIE`SjBkmVn?#T%62xe*6Um2K^73q1zguMu&W1a>7vt-rg5Dmme`(D8S?eT
z5q+Sf;i?p})|K<TLoVa51`3P=!r8RbKwX)FP0F#l3k+_NUdn#*n;O7{SrJ6%?Guae
z$Vf9uE)WTXD@F*n@xHt|Tf=J=vs7$LS6i37d(8jmuV0ifOfEZn`+Q6M%uL_Tl$QpQ
zK8IG{M?FP(dJFN$uRBaBKB)7?@im|jZ;umxrEOi^JHHGnT))e~_9SsVXCRR1`bWGM
zK(SzR)CWX(9VUCSWInfam<!1B)P^hgZEmWQeiqsg1p*=bRW4xXod8WzegRR>h{D%^
zO30<-jgf4uKyPnaLPA}Jer?S%FhHPe6!3W53uWUcOEDrK^3XM_E%pw_8&LStj|2K)
zTi;g;Cpg?g^i(zDM|w{@Ks<UP33;s}5FJg!BmkieG__Vk1f@63l*@##eQ1$3!<OV?
z_qVoO0F6lomspSFfjW^5P?^;A6)Z&aqZ*ekdT@8(A)SUw@3Cg-R+h{<1~^Q2H8=_a
zE~gfBLgV)pDM6>X4scg$g(huh@=F05YP4y%dLcG!$Gt@uxto&m8`o@xj=8HFCUJWm
zG%Q^u9nSx>bX5uhgw>`TLrBcGPcn=?K0dn3<tBxiz6NEMER2kd-4;62j;)sj1+`In
zVv%31{^P^e))osee?5GJy@BHQ_U{p5ztuK=$%xnfJjK@g%MvO0v<@R1qtC8f^>tB#
z=;a9F7s^ypMfB3;sZ-O_D}BTi^eU|ZN9SRIJ_6q8g=l(Fssb=ek^Q7Rn6f13H}<<(
zfNLW4FZ1!;1B&^8=g5-RQ85IQw)H%SK`w>(0>NRmgW-#ab-);CH~<QeKG7O6JNogN
zR)s?**djxwP569s$klbga262VP&Fx>U3caK24ZA|$o`rNx*=iVy8ytiFV&Mk+<rxw
ziXw5)7k0pWi(n>GQ&JvoEsaeOIDi(>1tcvjE-tUowB0qw2{{Nrrk)W{$$J#>tI=A@
z8(%rKm6j|qR6i2M1L~yDAsNY&h_5f!!$G*3{uOQA_lE9vC;&I`Gv7$xTa}F+LlvZs
zwdwBOJY7LlduSKg&1uwg11}II;Ftx5n+`g{Yyd}1ha*P!suVE%4%p402st!TJ7)lq
zq7-&5N=i<Kpr+S`N|rDKED%+03^(!I!O@9rE^}BSY++?#kpVpsbWl~`{EZvY4+>eB
z`0oZ6S=`e1(LSGbqP-PFatQUkWwsAMybfP%zKg;6+Qi5|mYiYA$*Zna5*ToEH<Mr=
zOk4f8X*YkukCbB=iaR%1LA(`{k@3k!V?g@i%a>gP#W_cD5s^Tcm|M@-b|!CALxiz0
zR#J)}aY<z(!AF+P2jUz>kmH=Nn20xW8z68wuV00nZmN}v1{3B>aW#BwdhJ*T{&_Bk
zIi0*&Ud70=Q%D}3=nb)TaricbMGujzX!!iRe>iz-b94EOompKf2o3aMI%y}x*2UmU
zWQ9`mXMm+2+ly&1R05w2Vidj9*w`4CZ9kokj{!wXb2F+?!rU2uSc+Fo5LgL7_>5c5
zvFTOa1HncKXf8^CF?w!tY+6NSKUNP`;}568H1s+XZ~HmyuVZFW;RqCEwYzFZhBbg^
zNZI*_CFH;bbwx#yEZW-R-WHg=UZB(t076==N@r6e^tz~>2NNL#=sMk8x31Y1hpa(o
zD3i(>cH}@E<u@o2@i^SyG#{#PB&|K-?Bu5+<0%<Jzh7cm^_2B%@68F$NLl}&AdN?l
zazJdU(mk2=a&+{*>w&lVH;#y>f*_m#IWKma*8*IS+`|i8vCD^$990uAB_OV&VGGsv
zTGs?v@$eC`^?GF+PuKJBzJ8UJQkIqdYK(m}ScXD7TWnvcwZ7$G*#~6{7D9-}+R?h{
z@M=`HL6Exfy*!KNX$SMQsZM~#SW<<FwDfeqW#25db#!97y1O}cV?bL+<=F*OV`H_d
zQRU~ywAU6T1l3w<088xU;oAUsL31%hppyqJy0wHd0j{$10C~rCj|b!?=4gGqIy4J{
z%Dt#-J7f;%#N=vgfW&Wub^7u7CCfK+x8(-%u*k^i9RYC05;LH6Wk`FTMu_V>R1}0$
z6-4({A<QX549MS!Vb`sAIMEVjg$?J>&x1EQ8~h*v_y-0$>}C;x1zLI8=faB(g+55o
zYQQyb)HC?edS;;MoztgJ=h?cWqCDwIluh?$YbdCs$-brEUk>t8g+R3a<%0DTxQsqX
zb`%-6l7R<nwOCAkL3g{>$f(ll2!gl->mRK<f89hf7&0ysB_4n<As)S>X99L@vf6O6
zJx{lCrk+H!2TjUE=($RvBuZp=?s~rd5k+R5gZbn}f&W}c5C46Z4K*DCb|zB0Z-nA5
zq~#k2z@ZD3^_gLA1Q?Tjxz>B(PvO2acVR#9`l(!=v<_1(J4c1;j4o$zI?xU5`0!q<
z;{{mJkl%sgd(vG62LM^{fr72o>3{2y9rzQZd=Bj+nAy16d<{LE-_z7?NR&WgN9pUy
z7d8D4BrJZ%V|q^lV+mtYxP<H^Tnx}GEe=Eh8(g-t8aDr_`%^e;H&3P~T5rS$(>q$a
z#<H5Q9|KG&<OhCZW&Wh_R(@MBLBvzSQoDEH4kq8Qy1(f+>LOl#n}>zV#@&HOO8iL1
zw*SD{Is!GQb0K2z`9C76hoat-+s{m_dJ-ZpXcC-+C#HgE{HB|8ZT{o+f3Be(pxN!^
z6*9{UH@SKm@lbrzkW-2M;#Nrn_%?k?57Ms3IoAM@`gM1d^b`iCT)5C<$ixS~RDw?v
z0R11XFNp7BDlddto04%N$P%k7+(wFlCyRRF?-@B~Qv9$j-u17mLfYlu>05YS0xC)o
z=R)81p|5{-7sZjOXEDBsy>1E>zYPanEIjS6JFQ;DjzeJNOY|rdFL}2<Lj6bKT~cx2
zfLS<7f!@5{?4g2dIDMw^kmO(MPm(~=QYz@MsgIdmsLeC|J$_sCsX}D^1Bh(@xn!Z%
z+PsWM6)GApsl?#IKmT^qkMT|lZ+}!rUw<wv0jnTi-=QIzHk(b`{ns?3RN{R@&WR&h
z<^LYMYlh6_zm{r929^rP7s$m=2TB2V28rMvP6i#5Ki5Q8_OX+ntAh4rsR5qE{7<=5
z3^3jN^n|per&|)?DZ`$Hjy?O7dvnLuUH|{I_%%a`rXs_?U+yT&K#+E@M06FC7K6+?
zHzg))3eHiX%f;|yE8$|HCdY=wzbu%T%fhHV4TN0;*<z}Q_-$Fj-XcxY+@ZE2`oZTe
zoc{ECrIJxIhS3TrXl8y>QD+X)tOFabhfkGmuI&JYlD-9xGuC%;KH5D32nvFD`m4ZK
z{?6g^;mx7uE~izX9lW+;ZLKKzrlA$&X~gRmESeo3aodQ)z117kCV#IPI#{p0w)KB(
zxbI@&m%-sdtT9|y^zP=F|4^{=zKJ<PmGn$p+>#7u$$elk<9-KQypzRl>lRX7c_%zb
zttL3pxfweLrYq*X9F3F#A3)Lli4!MK9zIvtp7-4od>OpCQUi`XJ8hKZIAO_Dgy?2B
zhu1>-`}=t~ki`&cwZ<KVK+^*_MlN2YTBjWgDJswib@U;d6sBs>5Ar#fFc|ImL*Rl!
z->i>C0JKp6e!{Z33Nee6ntFcwDLjIE=*SwPmklZqi-?FGaGFXGV{95qwzsz-8Egm6
znzvFVq;?>;S${sfZ6PNV1Ap{{<^GZTpji)lZ0bU|mP9j?kkJH3o4Qzgcu>$D$z|*h
zTC$G*%a<?1l%t2HdvYA{xh;lp`eToZfqiK*)N}4xeb5AL3k@4UsjSQ6FomWHJP$j>
zRwvsz)|dYk(3k*XMMg$K@W_#DwtD20p5{@l5xh1>&1OVQ@IB@v;@xO$Y|O;W+%gV4
z;N?gl&f0TS(3!>L*UpVY*daJ^B6Ce3=cY-u1BN*4Kma@~XJ@hMS9oetTG~aFP9w}=
zFcBuErWU}`^LFt`XnN4!o;{m<jF@t&fn2}m!-K{(G$$K8jM7lhbRes)tfv=;%9^OU
z55mqypSI04$kLdOMQ&d#d@1u0t{b!h%M1}}ePIae=mm0Ra0);gsJ3`4EhD31Zk{!3
z3+WV8m}z`Xt>WTR2AS?`R1=@C*R~_1l9rZ#`}w!^ukP8MkyOjfxtYSxD+p1=Tly3I
zDbX36wW}ax&Qm!1{q0uYfLyP7@BLpp0No^i_P<e~AdiRRSl}<E>S$ZKhp1acH3esZ
z^=~cu^ir4Ic;AM-)`E|3q90$2Ub{c(`;XzH`bbr2@n2W95BPo6|0JnI7#mGA3L|Qi
z(bwy?g?T%0@$m*k2|)#dnu#QkH9Pr7&v@7!Q2UPy<cgNdx<EREE&vWaOTHNS%DjIN
z0n73|Et5R+=SP{iLXD;O@gTE`9JkSYj7KS8T8L(g#wYEDXaqgkH6Y}4K{^T2Orxm;
zV`k{E;Ti4cJ==6D^?571u@exi27TNs<xR0@R_K{2(D}yp3G<~KIcedLWJn(AHkleG
z)uJ*82x&|*n-5#MgbM^ucq85|q_m`Ic$WpTK^|r~Y9;Lch4g^(^K*-jFTSP5(TJ~q
zMj6?)XonHGb=^`NB;(PEP9M7WjB7(T9wgJ3f6~9jJ=Pxoj;Mar^)iO>zc@i@D-M$I
zsf0#koWLu%XzC^VOb6$e0Mf@a@gu*(K&=2g+XJ!%8!WHM*y}TAZ!7MD-h_B#p9dYg
zHm0?9hrIOKljmZGsJr9mtsDqcP>Nn=LLp{`gIQ$x6$W>QhZHJ?hLTzgbRGJqfERBI
zReqa1eE{w}ALLMTOi}o|B_-}_De!3UCQJOdy~I9Vh!}H1!LhdjvA!qco8Qv&1fGb9
zjI0AgBa>u#!g=C(Yuy%oVSmaOOz#q)3vcAic}n+w@5c4RJ(6^9aBR3l;I%XA#(E^8
zRjx?gwlYh&PsmRVVBj?-qyZ8e>np7s7Qppdnws9wvq7?3(0O6a&Ujd5)P{L`HCFn-
zJ)M9GeF|`J**G?k?M2n#n*9xJlqP_f9-IOc{NZ4k?J#Rw_E(0G1#=Y*=i*G3!j~s5
zLL?}xqD1sv#_&LllxmIOi0CzUw5**k!4{cyGjOQ?(gg^!KmO$8PU8{kbCi#ko%rEz
z+Ff{%15jU}(&YZjdGMYBP!mGV3`k_jOOMza5{|G<Sw46GwMLW5|NI7WseP;MqWNoU
z4&ZDdcVzkf{Y{imqIlIh{FfSlTmd<~MEMX6M$E6Jzi%cVC!~oA$KWpu3Jb%4pVA1s
zW&n3V_2FvGC=K9Ymss?#7OWV*@PW<fZMqHnKQl8Eh3}!UvAL)kjAGSN8Rn1{E$J^~
z+(lP~WrBMOtWsFf$@6Y}e=a6S=Xk}<XUEJt5}uT{E}aK{mU|}YFQfsF1sQA*vQeNP
z_Vz7ZdiQ=(BWTha%4kqKK<6H)2AWz&HDk!rN0v=}Ncj{dCW3W>x~Roh>-T<RyikoJ
zqmT$MhE&xM5awal`pI*AF+1H?MJ0n5tS%@ZfIVp@dJzgz(o_byD3`*c@kYFnJ(YK<
z|De^C8P-u$O+%BgG5q$ZaGuMRcfRli5DU+(y$w5(QB?j864{Z2g+cR^Q2GHv9(dtu
zRe-nNhb!g?m4HJ=iPcb+=-wEKEG}4K#wB<_eb4PwWo2cD+1ygsLZbK(3;T=_!C87K
znZxh54b%f7SYUw<K4;@_f&h8Hy;}bz-EBYl$+ADhK_j1I1?3mzlX2bPtE)79+fSS*
zm<nmEL|=^bFNQ_Y7^WACrvqa5#Lu5iR;4ULLRFvX-+-Fol37q-Kn7^Omn42fPXuod
z^gXxL33Pu1V@z?9>47qY#$KhD^3ZNzdJ!fD&w;P@82Jj(*0I#Y*jV?2Wr9=d0G0f!
zo%c(WFDe<<t{^blpsW?-9^4Mn)J(j*>R_0udb{nMM5ysmz0P89zxoachB?*v9~`Vk
zgJ^(){qEf-o9j?414OUI&^CU0#z7z~DoU$2bvqD*T(Z}5KmKURuoU+L8h*?Wvo3%>
z;{WQ^`ZkT2$!Q!!aerxheqt6Oi=C-fg?#0$+qbI~;o-awS6f&|Atp)(L*_~E@dT-l
zpI;@7Js%aSXZF^3xLJq(I*VfMtsrZ9sd$lowZxA)M3l(rVZjQ410?RZGTxsFN;UqK
z^(Q|g^O&Kfl?BHJHd-)&8{!3da?M<I%mXOr14qye8uaX|F88P1oJE3cze$u=M3_bb
z)D6r!l*plZ_*-iYr(Do-g7yJOnB}@Ij%go%LNgkMl)0{(OLZ-c)vtdOTs%6rz1a$@
z`S9R!DZ1RFi|jwKjsn=Up6mRSLKYz`N6CC@;paT3qjmnPGxTp}Uf)as7bd^_9&?dF
z2U5uCkU1?|&>y(&lDoCXfT$lAg(Y<9OBMDE7NR_$7pc9%(T*!VJ$Eu)eV#v2%}u^(
z!N#=`&~KLPEr)l*ls(@pvD(iD9<%Nxo&u)PPbDubWF0^gS9+Hhia;)UQ;9}oqqnfU
z0D0Qi@vZC1cMo0yPXm89&=;hP-BCh!`EiPf*El*533y(daF!#YJL-D!0m9;a4Yr(%
zI7Ckfld6WF8dDQ(#+tsR>Ro*=w6&Lp4_tK1`>(W~;U@_g4_V+;4#X75^JP)e>6Jf?
z9ZAH0kGn++*NIb6V|fCrpGtUhyaiU$_5Ma_a0&^{Jc>uWy-)r2{u-U#H8y`S6R3ee
z10f=W4mXFa&_v|>$A9Q<lcD;Ex+9tZ0k-oOfvP>>J=>S70%~E{n>T2t6CCJVR=Z}Q
z$t$ahX$C0Q$bg@rCQUCDqe%t~_SLR}#rQ$D9pCvQ{{s$|ohN}hmdeE%ZM3`s@EZ@L
zri6E<lBK1jGJi_vvyUuvyz#Q?f|qj5(AXc4vK)QQ8*s5ot>=Er;K7jdh#Feg0Q+Au
z7}X4O^=tL4tJlMKHs-Z8jl*9`G3e52cmH`TSpIO#msb~h(-mk-EkW$*1sUjn5o4q+
z!QX@j&1*94qE8;JQa6E0n&4GSEg=m7AY0kWYC1qp0qQAH!6X0k=g(P;q!5~tad{C)
z73#aA;5RQHO4?j1>0#&D5q?*xgXD4V%d=MpOQ2r&7L;@l5VClbM?&o?%$cgIB}yK5
zhRLM5<`Sv@Fh$k6V|AdzOl9ZS*kMZ`!RZLHwhXE6Pi~^z5$Be_AL#!T1g7!Yv)$ic
z^upM;3#Wr<1CA-TtC7|#2Wk$xw5>ljm|vTnzd8TM8k&KufIi$)>1>VJ|Lrk+Pf}-r
z?9Rl-CI^8nukpeSEA%gwq57i}ttSOp-U5=@dbLLbK|&d<zR~xWoDoU%%svpq{J()I
z#JFy<ly)82ISZUqp^@u~RPOBEX2V~G9Wamf6!(9jw2$~*&CMfe*7yG=cR<Lq$f<w*
zmvB%|So-*n9PvL12d;DbZ0M_n<^CD4za`c$fE&{d9&YEI{Rb$2Br8nY%X{@V97p*%
zT`4z;nf_amkxx(bxLSBcs%@qxG%|G*4Fsqt5;v46IIMN`f8*mS^)vH8H@)LgmB+^7
zO^w%t)BlN)gB;_f^Ii^KuYO;+5iX3%G20vCJMO!-f5?9${VCdWkFL#zjWGPTc<{6D
z%m2j2QGJ*`Q_q3ok7$<!iN}e4>Y0Nbb4M?a;+46tsDu%Bmn0#GfUv}+5?sh=Ix2Jx
zQl<=@U0nO~{I&!X$iE8j;1XDBSA$Lx^aZj>C^+?^uY=0iG~-{)EcprkEO43L^WZ4?
zV|>Zno$nCV2qqQs^Ag7vYNF_W*?xg;X{%g^II3Lg_T(c5P{X~sE~7G7p=SGVrw;l8
z1`Fk2DBk~A$nIMQ?19Inj{&V3n|>4x?!Q_GB+v|YSx7hyvnN%cTM|lIAZ<o^{=BAH
zzKYNsI9Uw%Y_qSQsPlGz2OEcbsnsHYAyTqLYCX>5yvNO2!Ow6x&U$O>2$HaO+#52=
zQh>4?oNDAvC$kyjuio*S&b>K5I8e=#K|Kb9DD(n6(*zk`k3koK<GZ3;<#;|aAF2QH
z{l(z>C0@RyLl8vcHj;CUo%%=_&;;{SXY~vX!SKX1Igi0D4T)}QnT)0CvBxginlb9|
z6%_tR=A$M;>Uueky`d3{*SJhC2{~{X*)7QzC%d1Xj_rjI1|O(her_C#gNXHa9Jz<1
zwl4Z2rwSLXnHZ>#2#?H$_~1`OoL7XwN9y7`jxcsw{`{?)=vGJsuidH*hhNq_sv9rj
zKoCY$14VV7L1I5{=XyH+7>5qPD($Fg;6=7k_Eu*8y$#;*H06k{TTcH097%2`{+NNs
z8^{iP=ns2P7$7x(cxU}FfG%<h$=0uG>UuXxHJ-PiDTZ>qlUJ^!Gcxfv6r)m77#q+<
zSn$4t$SWF=0-kv`22TMDoW<QoP{ma;_)l0@H_Yt(k*yH>tz`OE%}{GtQc~F|2Rzk2
zA9~_?oAo^(JZ-2^6DqMrki4H=sp2D)J@UZ27(dXPIezg;IN?qDW19A&`W}SMr$6Z4
zzo>mK`VwKZCHQX2xqyo(o{o#DdJ9!1rN@fxu^W8}PM)U^6ki}ym;Hk(DY)&EgGCRe
zyrlY*>(e>V@7vssTe!pbU({|_d>!=S)5}T*TAWFRz%FN-`gN*nm*1!559i~Xc+K)I
zJT3OZK_XUu{(L3Vh_JgR1;Do=zTe2Y0fbuW1v}A`m&NS9RmrCI`{sjqNZqQx^QCim
z#kqd%Wq9QU4wq7le}%iq`}tnGvf)v#(v~3tJCcD;K-QYXYO&;%Eji+y%`|g|k-&Vj
z?fboj$V#4DPgN_^ia*=?FIGCqWt%^LAN<I%k#&?HBT)0sfygQWqF4^hHF?+Mk;9Na
z01!u@n!hITKan!M!;>XRP%wZ|BwP}@_V_Xv_f|o=|9JAJERU_*bhrsYj3Nt3p1GVF
zoBM+XH?E^IqULZZK?p{av{e?c={xdcfQFX3rHl}%Bfa+c$i&^KrPFT{Ke{f~khKVV
zsDE%Ye>mIfK~Kt#M@~bXa=2Gg^T`~OG)s*r-cq{yG)4KUHBnq~=3wmcC!A!QZ?2t4
z!4(pC!F^q&VpX2$@@=g`acSAAt?zFyE9dJeKgub36nTzR?E?n7SEv<^l_U|$#D6OZ
zd-wdFLsmIFITR9wo1e#xJo<_0{)p{?yTO*AO#<f}TFFq&xJS*WxV5#tI-GL`8BG@A
ze_S6z9`0)mp4oqAozU$diu>)nV%EXImQgjoY3ieDFBJ;-OzGQ-TFc8^mh@G_bjv68
znN-ob5U5LsCce+X7HI7uL%e?oIU1O4vEwFiNXdrw<-DynyDn$3s=dEHDb%l`0yHXx
z$D+qz!3y@m)V&XpI*ZmqIVnHS3D-{Hm+B7f44A_&9*#6W!jveK(5NZf`NthR)DEk@
z0?DVJF9~Jpogom&876)D^-aAoS&+v?!v7QDO6vCNP~%Zo$-K5i$O>j+d(>KrJ6Vn+
zHWB|Z?k_W{2T!Cfk}5Jilk}oqHKpRa7=1;O?qp>)KIc_-z2I|{MsNEc1*^JfmDY`g
z_8TcbeBV$UO%=VLWoiG&3C1KD>?AjpZNn1s2?rtHo}E#Z#f8F^(sR*E2IgIN=w|!K
zd~5Zu`aX}BR4L<WBAudV`fjKWKe6peDVOm~Wm(>S%DUsOdIQZx-g-J1Pl6nOq;qee
z79OXeGnw3U_h4W=Jx^En>}{RGXF)XU-(|GEG8D@Ms#kt~sOgV)7ZJNZ{;BIA2$^EJ
zbcrB;RpZ=&|Chaefopf<qRxrXoE~dq#zAlrwq{gQb?-&>W@d?gLDan)8&4UTkm*h4
zd+rAZQ44EP90<9beh38aifD>duqT#R?<Uy+kU_?u?Vykx>u7gHpim<Z^4d(?+^T5d
zJ=7m^V4Xni14-8k?Xyz5XUUY5Bu(O_Jmy4_j~LqX@wkpTz0xbw<@M`^q6|dUI<D$H
zw|mgY+7P==nIbe1^#Y>JM(Z%4Y)c*F$zmuvZ20med?yA9$LEJCF^(ff1Ua@gCLvO#
zyp`WjD0lQ&EkE8Ml=7pUN;|tFhwM^N4=61w+XICYx#W5-iFbAZftdl%hcdlEo>~Uo
zCJ^aF-92}kneKxi2{jN|3h^R&mQbO9)}8^%<=Cx)f+(Ix-xWdCrR2Qt?X)ncNjd@k
z-X#ojZ7S*V&0{uD+564X?N3@##zP*IVQ$lJR31<)vI9*DY*2)b=G~@9*$ac?<MVTJ
zSW6*{c+Y&{z#T1~>Pihj)stfD5j|nIjUH$VP=g|dwiy1^e@n_??}fC%K=~bZqb(fa
zh2mRp<Oey<QpIc@+Ai=L7smrG29V6wEdru}BQ)ih!^}lkuKoz%V7`96d)*PrZ3uej
zEq#ghgWu-ra}^jjariz((Zf;z@(@an6K~@~VQyD(8)RM~lR49sDigUeX2Z7z-3ZJg
zA_oPQw{G1!cmDkJhFYx8QO&i^2eIq$`fD^dBA%QVbjm@I?rUnnnQ(2ZPONopE>ugR
z<qg3pel)I<>odLGkdCI8LMsoUSP&|cuEz>G%X@9N>N{*L8KBH%*!_Z9iy?2OO!vTV
zNTzxXI1`#@hDwXDn3x=ppU~+73B_KHND4}|``tg(uR?*P>)eONP#_vmVV4OtUpr6`
z0mTqMb4vkJC|=q7CEz`*IFx_c$eFL$PQjOc`Ucwr4|66yFTJNt(OWgRVxa16939#I
zED=`7A4AFSl`Z~lWJX2iBb4_)oQi3q<hBn1a_Z<d_Ye3|SJ!(I!JHEZe~$Q{LXNxx
zKj7zE+>>a)7OzFHaH~f5Uob4}e}G|T>z_7B5yj^!b);hCb`wlA(r82k*u-rzb`rA>
zS}Y4)#oFB#+sE$uINt5nFOhq6dx%=z4};X>bg4h!zQ-NhJ?#l7L|D-XM{JH3BHf%n
z&P4hdt}BKR-3NC&w7R)oF}XMknz7qIhzn)g5-(2>G1AuLgHm%JvHzWC&7^&8(lY(v
zG7dX+cFBJb819i4zeN^A>=JT}JG&u=zh1!n+xyoAI~_boH`mbZ78GbD8UzBho+DH5
z;yS@H@ezHj&(0$2N)u06O@{io<k1vuW`G#x_zC6ts6MDOK9f|hW03kg;%>Fw;#GSJ
zcSty1=*{A-c_++|l!Y08L<1RJ)m}+1_Ez%z?_};sIfaAK!zJTql4fIg#`SQsi>Hwz
zT9B5*KP=Y#tMFvo768|&rI)mIpd?tm2yz$#wEpA?LQw~mBU(F+3%~74Do`a)y5{=&
zS@0n_01N-%?C>gvX|!@27Txz-Kl(X`+LS)p5?eR>7ts3gX{~|dz85GdgxgLW8Z)%V
zy>VFc>k@BXzhU0-^_56Dptg%PpCx?4$~gByDUjBwi(?^kIfldO%};!LghnXYnk0_N
zk*O@F>S=2p!Q1f2*|S4Sy@}!gQ_t0Mddx&pp~AZM7E6V<F!O7K;sw|B)MN=`NPq8d
z-Z0x)w5|ZE*qIE)qQw*eO4Q~=M$hdL%%%S_1TPwKgorybvMbhETG)+wYU|q25U-wd
z=_?K$f`z8jnWhTU-vq-#YzHPA4LS8bJD>iBqmzvqD%fACC5jA}OOKM?hHFf=%bY*o
z_2dXZ37<p-=Dkvl{7>`e&u3Yb?C#wo`Vz3k{)yk)LTS(X4)lkx0cyjJxZFyZd{1VB
zr;05;>P77K`k7x*?gQ(Inl=9lk<}Nh_!}~EQH<6N%>1*xDnJ=SCRcT91Mm6=H8io<
zG?`IAGLLj`*32lqTQRQMMp<gP_b!lHU`0>AnrJ?28QHM&Km5p;EAG;m>eciYki9QN
z;;o!&OcqC7wr2e~)k}u#b<UR8T=x8ADSqb>iWg_jrt(;Xj^vad%$8hpwNWWq38D%E
z>;jDoXD#FbY~PKy6m;tSK=D9yI1gY3R9^M2Z;f5&hqRPZdNa#V+-BF0_|VXpr1A?V
zD@u%G+BE=j47@%Z$emBQQW*xnn9knRU7v@^ym9T_1+m9He;K^jW&cCA%-^b0j=|W8
zqjh3o?=s$(7xpes$@2)<>x|)TckONajJ>DG4{T`q8p>`IaqvAqMAiR6)r-YTF-I7)
zn>y}SZ!WQE@fG~^I(0UwzR1SN6#XFQ=nuLW+&pjdAs?8o`{Q*u6L>z1U*i^MaK2_o
z16!Z!*>>L_(~k~=gwV_4Pu%M@ysn;|K?1J4n03*jca-YwakvML!O{nr*X>f=a}$oe
zBv-&8f29)mDlD8WBq@onZEBoPn52$eZMNN-BoUwU6zLxnV_=~{`Ul0N(Q24jJz?1+
zeO*44WYsn^HU4(th+X@y@8_(D?R-R~An!#`daN9NA~;b1{P-ttTK*lZ{?*LqbGw=b
zr6XyBw=-M5vb}j5HNz`)ce0%Y8mc}&4?0QwKw6fld@xl~v7F*7F;WwNP&|B1Q%#ZL
zIlrv(y9AE#36DaWn<=aK{!X5jT@aN@WxrtWLT`Q;Ha*{A)cesZN*2>?=KdLmvRCBW
zTMIkVoc&p8;yR>bREYb9_`oL&my(vwWvNmW{Xs`5Q|B!1#8Omm+IXM@@tvg_H(9c{
zq~b(i17p_24QI*VINi+}XcIYiCdtflu`@?g)a*_W6`E&71=!Ha!#6(`%Dd-#Y*H~V
zSeOYWgQfRLK0}Yz@kwO#?%p~vw~~?%-Spn}r{R(xV2#BVgtrZ$og}r@H(k26M6Z)R
z?ED4p73^ICCxH}52(n}^E$bh?5{k@ga$8`XD-R_Y(SWMso)@jmlwaq=4#j}T`2$X^
zyVxbI`Y70+K9WB3=8^udWc@+Z8j8=30ghl1-pTmn*?+k^AEMFnI;201uSK6bV`Mwe
z-l*>KajfHFz*mzH`eqa7@NyKS<NB!puuA+$j{P-2#bv}u-*l;!r>IykrXZ}VWNOEM
z!px%h9ifK9+n+X+AYd2;OBwX}7qhh<jbACkL#)SFL0??D8zHNF&GNe<pU5>HHTCq{
z2Ftcw)ItgT9D8a~wb5xgWVt%&h3Waj>9EP5JOOJNVcF=F3vXacIa@|ojwJ*KtE|CZ
z8ys+os#2C}W)jeO^lJtZZRj5RKx^%6fwlMp{-GMh0&9wW%>=twVb3jF8|%54qXOHq
zBsI>_Ql?+irL6&&a%C|!DD&vng{mMsOYO~8DU?$jL|zyg5aHa_MtQ_U91*6Z4Zj_A
z1e<#v)!JBz5o{8Sifx;&t$05DK_u!2;%{IoiamCcE#Xb)RqddPl6k>MbnGY{DJ^N|
z*trSgMeEZsB@ZU;&;g%3t8p9|)!wq^cb74PO&z2lWFsam+3|)hq&U?x`_trC_tMYn
zgkx^t;a=^!r_)dO;^Ypx>f#`30e`^3m92FF@0KQ;_>@be8$`pd*$zLR2SN?pF+a)R
zPiJPE*DSCrF?|!~Y<lBxzk$3E8gmI1)Hu?8a9oJvA=Up0qhl5<{dUhi5_s9x-gehB
zk_vX+WN2EGlMO8neM_9`Lu~P;{HtXEe)JE2{4@)*3#zOyNHv5;b!D_$^D!E04%+s3
z1IHrUTsL0-Le;;;Kg#(XQUO=hnf}6`nPZ0Ic+hn?#`>!jPXa+cPnLeBKcz~37sJ6y
zbC41+ek7Wk$zABur)V`?q=k_sf3$%7nZkcmk8}6<@B(KNsW2SRt+|M9o3fwF>pP=T
z&kSYi6aI*c3}7uZ6r;Tk7SG7pE^Ah%sVxe-6JiK+>DQ2?ofrNUd(%TZ>nFTK*h}jY
zPll*x)TfZPu-UjkE<z7Y!2I>6`nUHWg94d%y}TYTG|em)hUVZu@NS_|I*0C?zkHbA
z?=7Van@e|@ruNd^vHUGF0|hW`8rX27SN`2$r;#~E;`19BumC>nedi-MSn^7<te%JA
zRG1%fJi*S`L>hWAK#9*jtW?QASd^bQthn{!H4U5lV1Q#-OSB^nPSV!&$iEWZbuD+1
zql%CH!#8I8RbKZbM^%o!`DMjN@7K*(^}@M5&L>F2@jJ76#A_;BudnFeU;1x%>4>Xj
zdsGYwn*=xG7)wH>*g;)tq3U<<)y$CU&Bh>IosU;8C%=!4n1NtUe*6A%m~oX7`KgOg
zfRO1VXYuj`?TJouQ+!OGncAyU>>4_n@9=bRzFxv@84aG;3EUjfSXh!sy^T*AeorAy
zU&HA`e{6wZY{5G@f)f>GB{r{fmjv!Zg$AY}IlqsWyXjJ4`TM`!O0#9#kC-EVse+5D
zQygx_R$cd^MD_7Vh}CY+oQ}M}t2&iMnn!ACXL<5G7kH?*6PW!0YWaTYe(T2rzexE&
zy4MWIU7h>wcUpS;=tHnt-FGbm@?~`6N<dt$(pTsv*Kg+^S%4}v#->N%JQ;hIpnK^a
zDJUA(j4Ltb--z4dXPS2jPoM97?Qz#jp50j}e|_?&U1MRA=+%ZGQza}wz1ZseDzPu#
zoUtT{t4LTn6)+>N{>|u=NbNMvQN@0L4vh1tx1HOeIO@kzJ_LkTx`(kCRTr+9q8?<X
zOV~<50h|Q*9}CjcQc=ZLwcyFP7gl4fECpqC62VPSv+z1i?Z5Iv9m6E~{%GGuABm@W
z*J7HP{w}-ESdsP(59Pwl;4kc5-R<9M$_5isM6B~rX~R>%X*qN$n6?Y`V&Iv6l#I9?
z)aZe;8E{_;w7|9qpGRHNk-}O>3%A3suh2IY`tlVe9)*XY=qQ$GN6Lz+p{NAjgchtm
zx4=TxA?ng<o%_m*J${U6qho3>p|-cghQy`9Sl6RU0NQ*HDn%>0p$6U2QV=TY;Eprg
zk5jd=5oCuc@U6BXn~q|(arYXyZjaL*#>(<4TR-X%<@BrDi`iJ(7X;#*CL3z}%=8!0
z2Z4GfOmW)+w~l4u3cDVW%g&4kI#xhXLwfo1TlwfH0#~>5EbVVlslxa5wDv-@u~1pS
z45RQ1&~^Qp+?I*{1q`gRc%H|y7;X$z0j<UJg_e!z>|8yl?#;D?$3mk5R=K^RBy~;*
zoqWLe{kijXUhc{82AvlREKCu4-OcvFslJUT{UhibmQACw5=#*mad=deJVA_r^b)$l
z%_L@dmZH?H=(u*O%KLKXyJ;=aa3j+1YRfuT6Vi_kEH}UWFh&SODm2ExTI*t8$F`!6
zE+DHj*5@=hDTqEJH1k!K#FpQ;r*6Llx?j|08y))n*f7z`l1VZ?2kZrl-p4D<i7V*g
zFg2g=m>ui|V`nkhJ6h~K#^%kI20Bl1y}icI+2D2f5QQpz=&tik85}*8sr0}nSMn_Y
z0Vxep-N|K@I^If$wRg9y4_|%7CvamX_)12~U9I;k)R@3>u%kCzrOt;B?<>=Ng*aSx
zYi)%etI@xCCXTU9Glf`NJcsbsXv1#pYn&8zM9rt&S{~;}hO9(Tg<lSjMM|FT(3hi7
zDblJR#L+Q>>&^UW&m0N6dg+$`E4C`#Dv8{OhLS)Tf+X%Jk|U~g@;DlZZj;z~RAo~5
zTV*OpO3EM<3mg0GU&Gj#XI5@z6)mZ$xfin|8MyyTK|kb2{wW*%e|VE~R2k=P_7qgh
zJuZh-lA`+Ec<hrZN_NO!e2W+5kdkKAlB5A0=)z=syoRcG-nJzdF8_i0o4-#$po1JO
zh&E78Fw^w*GEQY#5y$w}mdNY3*6<JSYlVI&gM|7$7C2(S#Qy$k-(*N8e>Ewbi70sJ
zZe&DX>n;*FKEBH*Uh`^v9LpzSd^SVa>n`r~4G@uzazgqW$|C6yS4B8)2Lz{dNM~9{
zJXN-Fcc*P^Dz$ZYztD(3@sS?%eduH$`Rm*0pHlqiPyf8R&kt3Ry3jzP3}=f#K~D;t
z9iabV-|JwN7Mh%u(bJC5!lIp-Z00O(&ala?J?J)2-CP(#n-`&hR|XWX@|op34Pl$k
z8BI`P4oL!s#p+FUt0y>lRgIHqqZ)LMLklqJnKMZs@vS=NoeA6As@mVcns+AoeERe$
z^xeCRYY)CKa&YAPXZa{xS2TeGfH-s1v#)_1hMq$61&-t}xg#NQ0V?bni}#_=geaiF
zu<BrE_6sOvff4$i{l`z9<c0GB8kzHiI72tL_6{~{Z$Qhf)gx?4+jr<rz6Krom!ayB
z53<~(8Z>+@Zh`)2GgSr@Ds{q{J!s>Wn#v=Dd2zY9z5NE9GW2i|>U6$9di52QFHu6j
z@-^s!(rXCA_g$fhhi>k=<0npB6WJO)G7fz`;?mOor)g=e1J7Si^JnqnxP*k)vy~1S
z22%30IF5|jP(an{7tpVyExn+J;sSc?47LPh%JYz^&gl_2qV_nbJ$25h5{mf^s-Vs%
zOwF*aGW-E_0>6SMq=cp(UXaJ6k(@gd!XnV?&l$ySX88S4Nfz_91ei?pHf2z~1@M7d
zux|?50aN>4&OA}6Gd3#hFLIn!hqH7Vi`yRYW`j;S0If8c?fqr8$=YsG(3-qxj2$1)
zZCx%`m6v}FtsCdgo>kE_K2~HQERKq8(9c2h_~+X!#_RXtOWU9cqJ4H?Fw&5cH-}??
zpgo$^uU<*b7(dX0Uj$l6dg1=M=`Ts3!4pogl7{|zjj$e~5i&UZDl6cBkv`Er>=}C~
z-<7e9kBieYb3B#>7m08M5fsWC6fYIkU(cJMKnn{FcQCbZvd#u`2IqSi2*1s!H`;fK
zPvat{@39^R6%6TD<K2~^!yGyWb<{$sIrAod+W`i;?9t+;7EYr6c_(40U~`>LjmSze
z+Tw%eODPyoFM13Vl#DTRbN65;#JaXuC)Y=xk<7#&?xp8dE(lmhJX7Y2l?NT!ye~&{
zrXvwVMaq=J?fAn^keg@cyDpkRA##+^;{rHvz-wxEvG(^dEfW#?=Fkl?%uX!gO;g8J
z0p}M$<G%wOCQ&*MmaGV!G$8xJ|66-$Fbi6*72ZN;z8Q2_X?-yCK@V|?gjHCfNroP`
z*^b29Gb6RN7SY|)q4e;KW{bns<^x4$6J*q4c@xfzP>>8Qa|QQU^DJ)++B|~^H7@Ko
zD%N5t{v~F|);Ni_2R$PZ$v_VW3+{m?cHJ_Yo0r7{I}Z2S51SsPkubioU2APJFU|r1
zRIA)B6}?jr^py3c%0wu~cf*pGZUh&(Z?CkLG!|Eek6)I`uRW-M(?2qdTf@<V$JCU}
z>zEg>nfDi@q6c@ti6leoj&RgghV$a^K#fNw=yur!?zPTrwYTAsyK6jlbw26@dme0?
z!s#n#4}|7m0_5f8U%t^e*GF8RQDvwk?BYfy?N|V9IG5?^Kfk+S9rwWk!~Wp&i__xJ
zHuW|x&I&prg|<eYeIewi8a1yqs6Td@k+JC=^h$q#GXow#@uSYMG}PIk4U_M+a=(Cq
z7^bAAme+s>U(78X-2^wl-oQHAqBcAp5*1~B=gu7p1>yD350Eu@01dU`VEot2y6CN|
z@oLqF$FExr@?E}k>C@I!a!}wA{F4;=Ui-zJaQ?zLl-X_eX?v5<A>rL42OBq%p`g&W
z*PO?ye1hx&+E3W%x-n-)L@m&hyAQP=kGQRe2Vp?sPzw@>o;~Hya*}m|Uj*&{qz~Id
z4Y-$_MyzF5P?ZYj{R%t*q$X~Nr_09%f}c;83SsyHwrN^#RjOgz`y^SYF&&ygDMUT1
z(7{{=E0&a%<wlRV8V7Y-O`p&Gbu;G_K4_T7>Hj}QM8yf%)amGn8xXGGh_-l-jmT0N
zTyO7NKsP2J`H}!9ikZRrS;Oq9U2s4Gbe1AlQ0P$(=hB&VrAVR2lSypOLQbIRau9m@
z9eOGXq&(K3&@A-f4e<2E=DpHTfDS!m80e9jaGm>q=yBe4-JLImF1E{<{lA*9d(la`
zLQkIoU5&vhu#2<7F441^z~I&)v7-k^3s~(Al-sAH4aLk{T*}~YXNIdQ(W6!%0m1|g
zop1t<)x1OyO)hk=YW&nbc2NxPaV3<moP%@>1cO=h@H#k!BNy$FgZ+aZvb9iq=qc3&
zuAkd!?w(w%fErpN1%3F?9Wd(Z3AIuV2YZkA;r{Ai32+<=yC!S6UGE3G3F*7y;^x~c
z6M2@fqod$3K{)#=F))w_oVYrAaEFGz#}z5`z&qEqsYK`nH-mT!mHj;s03kB;!Z}|&
za9{yo2u%FJ+EvT}8jY$UD#mT~;rzxqo@k3IdXnI*ClqQG+m4HSK#a^o_`s%xSHE80
zfhNx>b7!zEnPBvsD~SCT5Zcl64e2w%$|myA=Hn<~w-SiP7FcKjo2wXtvw`;4^Sye}
z18E@1h4zSdrz?Q86iUW=F9CY~r0jYxN(Bk6ynwUkW(mB}qcgJM<N?esuJ_6)^mD{V
zL`7x6kvA1J5IWrZ|F1^Q_ob;QjN?~D5n2SLu=0h0Bb23?!QNOCmXl`7UnmxA>M~@`
z=8RSvSrZ|%5*8*wh%GhBvD%z5SKD-v&<gQ|SWRbOr7_!@I-8X9SKmka1KPX6?%BQf
zobx>Aoag)f4ARwLBNU^4MUBBJTm-E@CnYKAxJ#Sp27{opNM{FB4Um_a)CTDtp3?IY
z=YbyEB}4f4q6xt`8K?!6!PG<69`^z|l)ElfO!mt>R+SDv=7=DRdq~|xrbmG#GFBX7
zBA2cpDN|(fUl)tT`T*TMAwN`(V2e%tqX%$;jqisv<1l(~MHsF2Z+=PO!i%YcBk7+9
z<KyBw<n`6b_PVdlkh>WW&U}ck1mx?$)8VV_z%5C@QdwE~(W%jlb!C=<y6_2wF$;(*
zTs~aN*x|qSqT}_D?UgF6h+f1($mg#<u9?O}lUfmKh@(Kr8))>>g6r_O`=FW&uX=SS
z1JTa_VWT+DZh@+l^D25`6lP&<o{s+<36B5{?Qr|u-)-6eo&eB=F9SnOkO%h>^o6|K
z$Tj4UEGbW5az|1sn36Qusi&=~`WsKN;86g2V4Uc7`-n0FMH=>iJvz<i8IxoA_VC(5
zrj<AA(z?ml>)c#1g^}t)&>#C%nzc@j9w0v7c<)Vk4*99&!xA!x(1V|!$`Ik$U`V|@
zC!%5MacZ1cqZyH5$}C3oBGQkKS|Bt8P(=b*+SN6`Ks!r;ij73%xRDS%h;ks92sCFn
zg*qjKM>JHcQ7ViNmqo<Zp)72M2{NHQw~-)sg0->H(Ic2LRoOz}UTA^e?#VwYb1c2t
zkpn+JL`I+i<dEMUBbPvj4G@n@wO#yc9yV}6h4#xz3aG?4G?Q0#mR4WLWmo_y*t?E}
z?gqVCTT}AM{%(H|0_c5FF|6dmY3TgqV8FejH6q5+*+$qwK|O?E*T{n-KAnvENq~j5
zwzj6*>KAK&&Nye3S@d#c=F@F>wWae{qxbheV9mBiq%w?d1wnIu?)|+mmS2FDH7VK-
zH!%e}&sA0VkWN0}?@s)QDv;sirY|Oj#eRf|><_vU-Kc_-zohu$Kg-;<?Cig{KxmG3
c56t#XX)7_qTidI664o>Lh=h6BMnOgMUzx0b!vFvP

diff --git a/v2.1.0/_images/sphx_glr_2_parego_thumb.png b/v2.1.0/_images/sphx_glr_2_parego_thumb.png
index f25fdd8cf567f2d1094186ab23c3f7778c376510..89af0391284c122420290c854eb3b72728e353df 100644
GIT binary patch
literal 17047
zcmcJ%Wms107QYK9(g;e4q$nK%(%m7AbO}hebfa{ubW12mBi&LWQX(J?($XbeXS{o_
zv)8%K`F}kh*0mJo`_5-R^BMIU_b^;VNd^a#6cY&v2}e#=QVj_S`3?L>f_@8r@>2i3
zClZplp`4`HGmrGG8F!CoW|Q4}J0n$cw=uHgZr<@K`-y*3-&N}a10y3N(Pj}-Qw}R*
z#Or9r2vkj#h=>PLZ*mB%kndR2%gM^hQVXRh2<%Yapiy<9x;5~yUSzDx>|Gq+Di2Mc
zkTTz3t|~#We8EUy5T3ZlLq#)+ypnYSadc{HGzKd8AEOjz7@l~T{9BX<L3lZ8c>(Cu
zK?MZ=|Nd&Ih+H)6`%7Lj0zyJnL&F%Qd>UR}l9HnxUs^Q+RHW#Y{o1ga30wHBafLS0
zW76oGsHg@*e1#7}@y1dK@Ko(S<mEl~IdNPcEeh>7htDRj4d<)Z+Rw;mIrqGK6ciG|
z;j#O>*RL;;MbBfiqB|@)8uh*F#;>OR?@az1{r&^#d@gH0gINt4o}H12>)WY`N>-ay
zXrp6eznE?EB#D;(8hyWey59L7yUES9wY8B?>Y+zlQ#amZWc1fNua@hU#K*_~DAD8j
z`ST~Q%O5;^eEce#v6!5k2Z?M(+txiU8^3V;{r%x1GD=FgC3>|jFPs=zSwF%GnDy&^
zXgpC<S0A!`k}l*;<lx{iS!4Iq#N@%fd-tj=hhE>pA^q*hE32UJ@WF%EG%_)GWMm3c
zHFiDy{mZ><tq&hP>Pi^x?q1bxsS?*GVxY>=<s^*`3Jx}YOk(-tJ+e$Jh1u7rdnYF+
zj=R6bq+`f>ByJ0JepF2JSpSqy^28D^gWt8?q~fvN<dgNWvcXU4`6R+Vyw?}2B7Dv(
z*b@^Iw$pWQf0gJRtmS8YHtE77<+hczwq|r*9eBjbS}K04MDwYf97gDEO6lC8ALYgp
z!snZun#I~;`AQjxZ{OS7^SRjTequKnA4jLW--br{<D=sJud$TMmuH6<SXibzv&~JX
zD``)xeg;)q48HvR1zCaiuH9r696rIg9QuS)nxOS}@7~3`ZA~&L3!mog{|>y(NG{;^
z4E8dAe9NuNmYeB5x2?+A;YL1vM2^qlsFr+@W=Z_dpK4O71j|QL4qAvMeJC$inP~E?
z{Mqd7{-LVsndf{kar|xJ6H!$Hsh;oO)f!yZavsvsGDhUk!#Xu7eE$xKENM4;RsSs3
z;WXPEulPP*VVb~Y^NYT$^{Qci(EmyuKFPq!s_FIjPd5Bs0{)sJ?AyTMwyE7^U&|!q
z^;ZRPV_1aQ(dNW=npnXcSl_hspwRc9AD)&i6wyhdCKRInM8O|T%%MLyJA<DRw|8`S
z!V^?X*hbywiMhD&vE{yRF_`IkY2WC!wY#_1W?t#E(20@AtkZs5<RYNoJXb96R(wK2
zHa(_WBY6NUT`gaUJSQgy>Cev(SXe~N@87=<=!zuHrN<0JyZzO^cDUZzf{0oB_j>ze
zgDaCkqZ=v}AKyJVnp(Xdo+hyt>(%0hcD!nP{$4#_2}x2~`m^(@(ic9l-{QE`f(Zya
z<0HdGK|whgYrR@tU+`Q`&_c(=T(~@*qhnwQuQ2Uy@G~lNzj7V3t_B0$>%6P{*zvb0
zfs|O$XwL9j`P5cvihg!>HUSZlnx<w*Z0v0v9i3za+5pV174e~y%lD_j8>nb#>bkn}
zs;c;}UcGu@VX?Tl7$}`9mOE5uu5WO%6TJFyc&)U(h*okGjz}R(Xor}N&b{U3<x&*2
zGD9KQ>W;~38=XpXocj9u0O!Jz3ENxgs4xEh8EQJ;ZcG<&$4%@13MT8Z5KdR1RYtM#
ztAvJ?HD-IJ@h%}@S7-R$wTVi)gVjNch0gGsw{Go^s4LgMBop*_v%mk6K+1^_KeB5f
z^_L#pYO>0z1FpXZryQ<deJeu&i+s+V=EO@@8U+hN0wb(=xh&t_-u?p5z=Ih~a}pB+
zW4>m}zN5Fd_pq{Yy8)|mq7M#o{d~xM%c&X`q>73PY;yjQL+{&yyGX{y#upa{gC3rq
zL;1>-NMOYhPEPEw;9QL&&8F+C^S%s$Bq8sk$4(29_6=(vMV7*1VphK1cPQSi+$e1<
z6))wP^NBk>Sgo`fW2IF{{<1sYfjC(t?61qqA0wr5*?fINErEn^1j#%O6!&@T<HcO&
zE1nSZq?L(&pm-RB*G{9c{_&B{cS&?=$q%x~_~PiQ3~HhfHJ-_rkV=YxgXoSS&waNj
zERMccYx#s!x7L0ul~;9Uv=HU9?F0wH-KBBcl~34OcjJqXJh&D3YHO<2xtFEZv76kz
zfIMG*q!1-%)cPK$IrfcP*eU`McsWE7QBf{4$Le=S8ra`p@mOO}cUHU2ul!8S`9+9F
z9fYSL@&5@<oo1i;2yinQzF1$|QC&DnQ-4UDtpD3W0GHP(Oh_#Y?w(T28u(*}=9Ie}
zTS@!Y1?Hv%Tg#|Rm85=U3c~Z3kqjVayUcwQ*CMy%p~>E;zVBfxifu=F^Aouu;ZGE&
z#puz{(^iK&qcPM$yGXjxA@_C1mOr|^Wj=Y7qIrno`QDwt%kBeFWyw)qK;4iCcRF>+
zgOUGS%N^RT)u?o!cyTY2VmiI!UT{<M5&d#as<ZR&gg30rJPlI8h2&!B^VFXszn?x|
zbozQ6xsWY9R4kO-bL|`VEr4j=#g?Ght;t3SGwi<6Hos!Z=)icU;z-PcAQc^t0OH86
zt{;rwup#kO6+VsphV%fXNki!)E(4W4Jv~*?F(x%qhP1>YUMr@E4Z%W@8tI`NvXkkv
zBx$X!Y0nQt3Wi?T{HrR@#8L>^nu#0&w+ju_(Wwg~uyYzKwj^=WV$8KpJ-2X!>5?{0
z*Kf-p$@Vgtjf4tl*Iz3n7(GR&F1=;-s;=TvlC{fR;L>E{*_vlHDUSQ0WuNoY+s`Wm
z#{K!T@I+`XO*)GH@{6N8Rm&nfEvB?pXe~F9;^@ykczul>y?8a~KFr7wpuDpsUeL2q
zsILqQNOdu;cVf&BTGZ*%TAuFVd*su=l7d{}>PU}CdFAuDom4;^eZB{_dT+V(nec>H
z;rBrscY1|0+P6rQH?rpDqH9BIP4~+3Pu+~X{#oc+`%6>(9eT2u!mO`F!`2>dj?6gX
zKInhhf8=|T6Gd;xC%YJ9P#0pr&fPpE$vA$kk4jF8s&Ud{$71kC5nWYCjyUmtSt);~
ze<EE0xdb}3U`&<hG|5agK6fa#Ef#g>4(u#VO=;^SKEh}aS5sd4ygTN3`00OF7Z5K6
zPUs383lNEiwLU=Yj5fA=Fd9P@ghwIQP(H0)zk_YGC0yc$4QGrO4joP7xPn!EU;7>L
zu(>#tg|C;*IV1nOT2_|nxr2P>Bs<(~Q5LH+S_9)AL7JV5Em^S}0ek_yn&`C0`q_$>
z9Sbw$ZUeAcs`~aF+4P^4>+!@dVxnHvu{)dIaVX`>`QHr@8?>oqECN<junix;pWk^z
z1L>d>#%N9e8NW-|_2rH~BFkxXcepw%^Uof=`gNWd7uQj&Q~3>Yk?qEvkB}8;xNYgA
z#i-lXaISqN(r{CPZ^J0;A_>c(2geq_x7c0jv1bB~L2LfRd#71OMFp=T^!92$&)h?{
zou9{cB-kNLEpAD)+4{tHbyLQ{;pA#W63IeD*Ec#pJ=Ne{fmBFd-sIwBZ=}p9ODdAc
z>Egr*qBn{t_(r&_-Ilx3^T2$&`FNJ8!EMlzfdU?Z0UjZsl5iigf#D`kX9y6hXZ0QP
zU+imh#{{w>+Ma(gsi=#wsn$igabxfBuxo6LSgQUresu7ZI(_w|XF)8p6{Nz%MMS8b
z_O+beN4CsFSaGz9DCxl+*3~9YNcRp7XoQ3^c6S|LIy*xO6|+&%($a!`kK<+lr^UeY
zTBC_siWWoNs?<VnR(K@!XOZl02$?h=n|{TH0PoOpO54-Z^N^120NnkJ$0nWV=6%U+
zxv|3Xkwh$E;o<d5p2eCQghuBzF*x;=-ixgXMv$!MSP!ABP1Uk7X%@rs-_v7?iHSj)
zx4RUloHJxe!fi{^pT?74P!I;$n^to6p}U<>W?<L$dw*Mxgbc8B>(|z*qL6T4+`eAC
z?*WgaZ*;9ww74_rxlY!#%#FzR_XJ?$3f4Y}_5b&ze$tJ4Rj?-M#@;<Z^v}sAz~gC|
zbWI(sc~tb@qYl=~-s12?%VPtIh!IRUiMt$sN>5fK;3VMWVf9A4k5MjGYlI@aDISH4
zE|vZCWHvH)sKgct*tHYl<Pooxx!r_gEc-Kf`D?mjx2N}(YPBg;A>D6@!tVFCUozB!
ziNQh6gu9nI+{^y=>cSxG#2rO-fe@%{$iP3n&D4^%s#pBqckjL5l%x;BOL}OaZNI75
zW7^%L|L-@a#h8Ja<a<9Wm{bMJ$_0;Q>N7_|@B(2)Cqm#wI&7=e%`5(SQn<PKg+~;_
z9HrWS?}u<R?ExfYKLZ~@SfK(N#}i?D!wwd8asz(17?}0W!}JjU-y1gPNL0vDBA(<G
zd|AWyOG-Gba)_s1oqCtjxEAz33&(NDRSNkLjJI$HHi$jPS)!T-_Cw|!1Q9>}cU`HS
z3jcg7xQe%Z;&*;xAtDg$FZdRZI)|#LSLoE8j}We6*wZX;DY5XsFAMIvVlUhlMH&0g
z>qNZ0Q%aT(Sm5AU#o*;6+u`<UPTYnJz)u;15T!j|kAMj6zgIh{PstX$t#$t6r=%ea
z{dZ}F+^Bhwd@e1$5EmD>94}wke*hU-I=?Gs(WtzoB|RL@vd<eWjaMX(mfdJ)#&f<8
zFa+UoiB&UDwO;Haa@Q|oV@bhS#G1TEh}y$qkOER|v5pX&qN;!@J3PsH#alzLA;*P^
z$p6Wort8>;^OdhV*dc)}D`Sf$<udvG<(0n|ZeW{Z*BCh-v0qm#zIfQ=`$+=4X2V!b
z?=?BoF(ZE=ocr8Mklg!RUmhb;#FNugWEEZA?@%a0S+_Y^9SOyf;gD<VOj69m`tujW
zI*{{HvufI5q6cUeN#zb*%&(I3yS$eO#YKv`#~E^$PU%ODo!*xTeg=B_FSgu}%zE{7
zUng9sF?}Ff`;R{_f~^6&T<ngGOGuECm&c@y3%8r9VR!kXa_7z+baZsc$x{{<OxipA
zH{3W<6r#xZ?jTi8MD?3D=4{LkSITJ!<A61>7xqU7AquSXty)C3JtRZ<HX)&_!gPSE
zFosfO0Q_rrtjN{3rJlG?dbQh+292wA%T5~3l~*eTPN(O-v%+?(R$IOLyEYsu?0fd?
zL?@DH;8QjDV~dmBd9CG!IZ9rMw-eH<wA5P57vQ%HG}2IV62m)mUo+=}5&5gwHI$FM
zQ&o}n@=N*ONsS(?%~#R4UmW$X(S(F<OcK&_^UBi*3+9N3DqR-vi+>Kej_qnzgew_2
zK6;yO;=-m>OL%(nL7~(2f<q4ZG_B8^6BQK|%8y^;57aobGzhKnHgmzqOH-h%gZdCM
zV{4gD_#7M@^eilosNS2ierGhLvTr)-puVcS2!OTJ(L&LYKm3V2_v??1LwfoCt+qGd
zJ9uh7g^q5kfVpzLo3USogcypaq4#1p9?;ORZ8+hE214cVHa)%X%c~nh8;95wf_2|t
zLM{*W6*V<AnUGif4K!T+YCY6KPRJFi97ytDRf6(P_0C*qaY+YTxqa5%*6w(}ea#{h
zh=_<dtbRV+bQ8cKeL_V?7rL719rNZ5-av+c44nU4fyhOp5gqgI>*`3L=D)bOfD-@3
z;rggTmT*Q0&iw^PUXi7VEjNfL1_siGhK8`x`NhS}h?d=IsA=Bk<psTePlbtz2~|~4
zXed;8l)iuQ&CJZAC`B?st+<PiKmR==BO^K~i5M9fnLa`swwNdqHLYJ-R(7kwNZ}9#
zQQSRv@BkeLr)%EPL*HmVhnyi^XG`#hfczG{xJQs@nsPbQDcQmHdQ_}f_ps4+$K2GH
zs;Mc%Ay47crMvKC5Zxq;M%A7@lQcG_zDuhBf#~<*Vh6}0P;7H%`JFNJr*a`eBLv0I
zewSYF;^K6wtqBn(*O$U6cr<RRkoqLNsYwv&;_}jSuZ!68Xu=|e&zbhahYy0+7Y9uT
z0|J6)e{xUG&k^MrycL}W7lzZ*Q%NbQJqUE49p;2Va@jpP`sjVUU2NE#3OC|_unHMQ
z=#0HZdk}`ppC7N%99mLh$OT@mk1!w<kdoS2FD^s3*t|)SZ^5*Gz&=hPdy#$m)b#4&
z)Vk|bU09mD<<{C=qJ`IblVfzPecu-&7d_3_{EqSo9~a&!(x9WI<#_%DX^e5|>gvkp
z@^GxPvvU{B5C7i1p4vITr?Asdyegz{1Viktw4dRZjv^5oD>Xno9dfxgGs3IDL!0-f
zN?l)Fg8m?`N)QnlsY-w<rAp7h&^GU=^6Xh>G|%ie&Ot#5TU%x*<T!bz9dAJKw+I`D
zO~(5MpGJBY)C92U3T<Y{9V+2vt_)=Kp6o52o-D?~4+)5gIsGm?Xq7YjKAZKHdNen$
zD^#PXsj0QUrIAVIb$S2?8<9kT$0{IPRi61(f$Z+)Pz)KNptM3=__2)Z^Yd{1#4WkS
zlBubm6;8W^S=}!<-ezPN%v(U+4%!q-hLTKgB1=zSpCqV1kXc1Z)6CD$LzY;Fi4p)+
zd(r5-loUD0EkLoWvYoh-JM>4l?R+5|IU?ux>Z;87(H63HjqN>f_EemlcN=H6t=se+
z=l484J>dwU85tQtkt+R9eP59VRV#tir;$|e(FAMMPRl1CDe%5rLMMt0rt~{$qshm$
z=k-aXyu*PAeckjNQ_0P1H(hTuTd9k@;Y(9~WAMzcYqfr>X6oc@qimwii6&n;%Y6BJ
zf~2Hmx!0jJE~RiE$cJk`vTwLGX6(OQJ!K)n0#!vy72X(9=_06h=Ac%AO0*B@>ho&d
zz2oC<^U4a}b2rUWeK|KbZqn$lt`v@}Ba<z@-d;zWa$pnOX*lo{pziey4tCqus%vUW
zFMf?iNNXVIm~=%DKCvCgV`F0jkB1w212*9MGra;$(Wa)Rx}BEu@p@-Ey;^%S*e8Uo
zAdY4zXQZqw8^VK8m|i8u*$TYvm}bv7@vtT4*zZ@+b6$!V94^vgGxS<}<aaWUHtTzA
z@VT<G9s--ySSk5V>$NZ_Q_mqVBHlc=-6Rs;-Mfer27dYP=EU6qgy$e8mN{7IuLlj`
z1QJq^48Z(yhu0923F2+RerHRBnmi_{+iuv{Jv>Bx4%s-FfLj#E5>6W>wRcEJzWr_s
z1pnEW$`#q*y74nx0u7P?4-f)R;S1roEPcw)Y=8dv2k06u{N%#I!hb=4(Nqll_3UNL
z%LGN+fp6b_Z%$N#0JE^Vs%6X;TgdIaqL7oDdyn7ck49q%-sl8qI6o|(+(f(fOd1K_
zG}*)rUctXY%FAT>P&X~zE9*-4MY}}P@9NazdvC8!g$XL?jf(>UJI}b(;Y~^BzWwq=
z6p4scKg_Vq0>q)hm4+aB7J>JZ%*;}%9*_!5wD=0p#$i-WD8P$4Ic~i!(ad`)&#xCW
znq6=eD}k<zZ_xd0{#=^6h4IlR*|IU%A6}=0n-Dz9ex8eWe)yy*Dlab|78`4^JzY=1
z<9clJ^f*t|wr20F#12uvpJ0(jhqU;f|EzT|s?HrDEhNN)gHqbK&97Nzs5tyl5hVKG
zzn?EGER00B$i*JUiv3a}5DybkJCttE%X^4R&M)cW@<g*JL9;~HQy+QAitF?9WIS>G
z*Vd?cRaFT2v*mnSAl8ukY|B-Kfn&<U+e4r_7s@GKGTbr6Agzw?2~2C?or29|S(7^E
zMRSKd{(8sJscdyrgDeNHSj*5e7$m{{<s>8U9z@j(7oXT??jJm-)cGnIRv4d^H8`v+
zav7R-RQMB=OYmWZBc>u}e`rAPHtY(wrWn<wf+qy8`z|9xQBCcRTjNYMRVrOLCTIQi
zBWmlo6wdh(hGcFW7k-aR*T-q|t=G+)>ae)|{r&N38)Cg0TaeRKw6(usu{DX#G`Q+~
zet`i(FBJ#JJE$TLx`>S)zg&_9gY5=a;kooy<^<ux<>aV2Ipe_l-z6i1(`Qo$=8h<Z
z;DxiboV-p?C-XYq?w@g=Qv@B}d8H3=wf#&3yLlf8BBVh^@vW~f&#X6b+W-2J*{FpK
z1iJ9MbRJiyt7Qw3I?bQdL=o}(`Ex4p^WMR(reLWfVFyW&MJs*kYU2z{D<YRdAH*X>
zy*~DTKPv9Q+jPd*m+IP;&rX89w6d}flKpNET~_&vo;#3XN*`~}=zvKfN<c^mz!5+K
zc+xF$^(u${;lqdEWWr-(yQiko5V-?*Z4Tr1o0%R97#|f<#36F9r}cwr9(=iRdpGO)
zA{173fN)J5DI`4hWMwU9j4XOJ52>k<bBDei42ld^4hr{z;zz>kNCg=uxP%?XrU0%`
zM${Lhg&NZyi_r?1f+_9o;!j9%AQP&q<2Cfzlj3@C`N@3#Dt=0^%<N&1bqG%2a_{^~
zS_Vt(pl~3&DWh)#?B7t8l{$1SdS{!x`5b>EHG3UC;O8fGWYqu{4f&U4wJt;k@cBDC
z%CQtemOt|_Am4SpWG9V=j?Vn*YWI(9iSUSs9Qf(xRBi0#`LQWSimb9SbP@PTuy2id
zBH9j+`a_xQ#BzUUYs)~ROgB1D9=RS81aMH003piqFP=u<?mIMPOQ*NG`1UeU2Hee&
zRws~^MPg%H%?i3%uG{8lcK%BLPfbfXX~>K{c<&*Q_Yp51@~9uy)o`o7UP4w@R`3UC
zI_L-P5H~avN<ln+UOAy}qn{8TUk+gw{E!@I5I^3FjTC9cW(s+~oU*Hh)LTkhn<SE$
zt+YG~<c`wi<t`)j4*?JiAH&jq73)aAufZhx`V_u@|Bg5`5L$ElOjb)NK0heK3#e>d
z4<>%zhEkx8X5ZL9k-_D<Zk8nu*%c`I3bb)HcWJ>vfcE|e1Zn}d&F7HYAbfa!mR~9;
z$&nM47Q+RqG^9NCQU7V4jaO%CzzwBy@dH4Y055yEF}4bBSt0rHD|ofwmZd#Bc%fpl
zfPF>i25>a*5)rNNE6d8F>y{+?U7qbhoK#m+dtgfCFP2bU9uX0tUFS#*_kOROB}^aj
zy0(@Fx(cNu@r}J2Db?jKBp6iF^apgcFLrMb5VaSm4(yB-ziJY!Yd_3jRY+*w4Zm)`
zvqh{+49Ojw2rV8p$de#ujs}0AkFY7+>Ke9ZQ@Gu-D_~wZp+Uu}Ut3j0kUJDMWO>nH
z%I0HNp$+vIRA&YgkskOuSR0JH$HxfOef||1#TUom{#hHls7=%dl2RQZ8W(=w-pFUH
zh-cS1mUZpyG}fIcQZg!iKE2#A^bzUlS{=1~;?EnaSp@aQ<+3TV)+>B}rO~uvp=J-H
zO+}&ZGCJpf<cUL}A)%Qw2_1rjsXs)7g`lpLhReIzL_Xc^^qwkw2laDiGqvUxy0|_k
zL^0^!)o5;Q_&y@TjMuTf>2d#urC4A{I|tLPW}-k%bz{eqcHCfpzRYL+2)(fKOO%AF
zCEn&eZwhoLuG5nf73f#$)^cqu|FGs-O3?Q3mbim7IQt`AYD%3qUiDifPj#ML7+X!G
zE*UW`(!W*I=jR&?5&hh=btNUBTh!4uH8(HcY7jBzXp57WVmEdYG!=f@`Klcf_n)6t
zlP8CsQG+sp<|SjCgd-M&x5^dyc&J8<%9%Ukxn){|i@m;cW5M*>64q(-Bd$B<`%PR8
zL3m?^pSr$A&OO{8e#<P})OdGQo>{QT@^*dKGU({RunV(OZ#p+b$TT4@X}=M#y_x=v
z!TfBuCTe>!Y{K2G)3!QJ)lyR+l@TETy>gn@-s19R%*0#RA7S_0JM}df%4(f2_Y4xb
zzCT8uQR8MW_z0F5Q(fn;j=m>zHn)|dtrv+VOPr{ORg-D5qTK!8x063f@CE`M6cs)F
z&3`{XfNo_vuTy(<ytBq9)BOhzME`GrfcO`Ls?H|Qg97z@Tu3$x9Bskz_9e65proWs
zePY!PF-FCVXJ>k()G#4k2DGtM>tU38;3vzVLHuZJ?R2wpunv4MqE7<7&XwKyh{}(w
zvo0(0c7my0lbwCvgF)6MEe2@;zR}0W=W5p(I#Ygr!tCtqe-6DMOvy+~hirJ*+p|J8
zya2U=8MLLfngpH2b&<W*53cQfprUswR3!d|O1y*YIPYDexj}jktrNn;@Y~Qe`jBJ@
zzJLQl7L(!P>fWpVD?dy4#4AugAPT%NH-DFvr3^6*dMv)@M?;WRfR{qF!6I@T&;DA$
zUkqZ0EuWOS`Z8AX_030#+qwmF<De96)<bVc5mCw4ILr-nQ~F1ZS}#L^v;eAr?QGLM
z=$0XbNNMR?4$X%|$8-K7AgmOA-teov#(sL7Ui$d}13s^6r%MG+JKz8MiqP*@gR2da
zxP(Lszw5e2{kDW}?%PY(AiRZGSgUHJQqh07f~5b52m42pxlK*`@BdW~DumL$`Ta+B
z2IbK5&Px8j+Fl>XXU_jm`3zb##uYt?tM|O&>OWIWG5-qiy~lYKmNF6le)EIM1hq(n
z&i@~^-gMJd@n89U-0wjWOZVr0j2?6@0p;a=XSJArJ`H;Q?c+$XZ3$w?z}|t5aB4=h
zFJESRm+?QMCMa@?-KGks+i(88o(<cMy0;!$0|?O#Cs!#_b!R%%cjfD1-^m_566RyO
ze*6_XzHAeI>L8U^XeL0d!V9XaVZ$fFXmKA;zX{~Ox-6QFfy%XyIDI9(t7$N)gBU^k
z8xmn9OPiSpb#-p^BB>^&xH4hmj}Gy4cQ<*iAM_m~7*CuW^h4=x={6TTQj`Ef-gKRy
zo`UY~f<;SdeB66f(1%m|iE_&M;e#V<=xudE`F_pJ&AFhir+)K`9p<yGxioN7y2Q@h
zQEQSp9^I`fP$c{1u$BgGXR({TRNar=NJG!sBH4Z(&)t5!x<YcRGuT<8sG&*Vvyh@$
zw>Y&V%OjRIBEz+8(<is>{f<#%%x9H{+8;f+dVVWf;QH4j$xnW@t^n~cn@22V@o^K6
z{_?eo{Fo5u4CTOFn`*+<jh0?^S$|9PEo<*Ec#V@jykIcbyO&q^6bD+)0h8xRQel(p
zD$>-8#9PJ_nZxN!6}#iadwmlwC`HX~4u@2zOM}`ayJs67W_btZ@fpcHhCzyHBTA2g
zRN8(gx_a8nl9iS4x9`?Zm5-A*apnjadS!q^d;}l6_<L6&<@MG4o=Ykp>a{=itG6^C
z!q8Qp&irhlK%VvT6LO8YKP9OqGA^?vTNsD3Z{hVfKwu~D&#)ABN_FH7)vbAbTr#0T
zHxBAfu0$QnmF!?|^nK3VNfEt+Hsx-e3mZl^nXSyPY=M9LX{nHCTf?-H>;+G@E1w7^
z-E^NtZFKKYybka>995zZs*^tYuwq)t)K_15_wcpPF8jKUGkx3?|ENrUN%M@hn&_3h
zCCS$U+P_n+p-XNv=(DxA^&HW0qj70|JJM@!;YN9}SU!o@+afvCts=!CO1n{_8E9DK
zgj03TMRyYyHBF-JX<1h`y|!J1O$kepLEHObwMaTwbSEihZZy*9gE^vr{_QWN0ZA>^
z0$R7Kquv|Yk~iTDnCyvW(QmI0k>p0b3KOaJ6H1q}nCU;}Xf}4>bxT%0i(0vg)<Lor
z@r;>wu8mXIR}xDJ7UQgWldKsqlfC<+U5I%)6Z;F(9J$GUZ8%c#w10@e>du#W72Z^x
z&S=UD1+UB$@yh78l=c=gZ3@+yC3vF)=l9=vn8*p57m=qK%%3h}G*z6*CK$=&kJd$?
z@vfSjkyyL$Az8h;s5bHsz8~V)5#I4vwl|0aE3j|Pg^c8esD7TvT?bpSfLP=b>5h%s
znvZhHl)BL&7&lDO4-Zg&57<Ym4D8s9H(Q|}2KqoX`2_uFJ|RsH-<l(5%sQF3ICwgl
zzLSvT$Aff2qr8KQ{hLiVx-}2Y4z3Dtt-A}kp2#o%dRdrABLgznLw^2LsEQ3|Z>Xso
zk4NLFqRpn>8WcuDJuSB;94R?VLnrJyZMOzt-6O0?4U0CHqT`e``!xrXbn~xVVc#8*
zjKNlOhYoA^-BAglKltQ@Zh0crj`QM>kLJq6Y6^Vc(O5SCHUBC?39TcfJ?C1idtmo;
z_3?8mtqt>bG~#XZo`I2~m-f`9@e-;YXT82nXC1~!KM#8AOs{ZT!j-l7CLF#qyR}Ta
zrtTuKk%pY?FK-V+&k*q(c~~1|BW1UTKVBaB2Hx8JrKh#^GPjXCPpo`LL!cE;OFVbT
zQ7iVVVB=pT?#95*zv3v(IM`uWS^}xP#nIh58Oc4bD-3pj+SDHpXEZf$)3eP@%Wqj$
zzb3%D%^`Y3gs)|J^l|a#Iq5xUm?G_zh)7@J8QJfQ|8~gI3q06a$}?uE+Zmqe{KZwV
zzBfCvcYHRrTFMxxE9L0hi$2MNjq*FL!hpW=*Y>hh>7%vweJY1yVdl#6PC|CeY6u=w
zP+0F>g*=23EZm4NMj5&ryFE4Pf1`0Ea));36XUc6Eid!ka9-<o-FR=-EXvP?tI4Lq
zLc@Z0d%<QzV21&JfkWsA9cHsqhjTCPZ_^+9ZRF&2EmEUZFSa7uA?aB#9pSt#ReG4o
zurzeN^@w&l_N@V_Mh}<dAuVcWprCMh$|Sxd7YMMy=1jLTZbjdUD0D>9$sgMN`&)Y*
z?G$gxCQnO&1gqPXW@J#?Yz%Ky4|*J{0~rXl5m6lgF$Bbpem6p|`Bi2V3-pa?cMORB
zYF&8=wJ$6f+2?8bc`#H3A_{0{4YE2z^^`acVq#t_CGB18-{2*~taUv*H>DB{-lh(y
zIlNJ{)Rbdhz>T`JRXg_)>L-LY`JJikvBdzHk8cKNB8Wbcxzf>fKwV*=qpR>)EpG{A
z#MX+*tkPQ3;g3oc^n9D@m}0N{P&p-!?9(K;N`a$VsS$}{!kq?H&q9htCiRmi@d->?
z@6yv1K>b4wi;8*yKpK!}>|TE@y$;u1dk!qCGlg0nAO5PbmcbkCn-NNVcH(C{NSkya
zL|qzUtu6{BrlH}$S|B9N$^GVIdw>oh$SEkgpbX^+i;SdUX2y1O^X*S&4}^+zVR6y(
zbUA6%12gH-o`P_;pWz7BJKtMDc$sCo1bBci!T0g;@c~K%@&P(7uCyuv{G_dIz{(r=
zHbfDnqVk)O3Pf4KgFa3mRX{0?9JSUs_;m5%lL(oyV=www!?9<edZW*4R?}1QXT(rT
zgzQe*l+8oQ3J(Wr46&idD=j161XL^{6*V<+Xxjj-^Td9-uHBT4fCSdSSbsFe#qO>^
zmjYNx0e7JkGO`5^XksPwOia1Z+yFfa7@k1GvV4cR7HEV;PzZVb03Pe_*;5e~WmXC#
z&Cu7SiJOj^FKXUq8p-P$tmcJs6lE+;-!Y-N82TPUFa8W`^kV?5zQJv4{cINWGeo9k
zVrm*59j(Enn{ayk(--X0LgAR!TBd&e=ws&MUe~$D#!-#_9LH;|R*}AeCH+K^={O{Z
zz{x%6f@VVkJ^8#nz&t2L&>|zd=#zyD34-9rbGUPAeQb4S7%PQ6hy2P=O)#i{HLqhP
z(8ZEKq2tYD1!<XB{_-Ajf5H7f{q0)}(-Y13LZ<C61dON)@foNnmL@)&>s0VS+jUG5
zkd=6i&~FTkh@|zz#fHP?4yTjH32#Ed%)UH}VCw}^=l}uI8;xfJ&b_xC1&g$oU#!1D
zSrBV@g7HzV;GD&dJVN}_hlNy`4@Bpq5w02+UK~l)Xq=uFlHRkVvoZJvq<aHrrUXg7
z=A!M+R$Qb5M5&%jksdW!eaqpG_BNmPclW9Y%*orVRvxL)G(O2$G-H-(rh60%LCTpo
z7cYR&dzj>44|iXlSxdkqVU39Jdqk-B&&!LWT;<!=UuBM664~+QhfsX6`x=Wl``Z<#
zg)Qy}n`siw&LxCYyU_5$<Gz53WWtAeYHOz}C=Cj_-rVb{-c9IRFE>hHhedxGEIR88
z-(~;9xY=U)1H^?*CQ~YLjSrfQ8-e!%`m-G$=OS&Kt{u9CwnOU{ob*N0-*GZb=&`HX
zAEXPZl|F)d<aL_lPOr2uF^-RYJI@sWr}BG^?U=L4`3A*(JQ^Nq%sn3RL1vS`0O)*X
zA_NW7;gbEUZ$sLq`07u&p87}A{5JRD8!P^1Q=E_<PIEXj2`H@;rt6cBuF}}B>|VU7
z>%E$ReU<BB`QU!=n46;C+#~;i$;O#cmy7s_56cGH{>c|}5SZhmWj>E*yc>+y(^cj9
zaX;X39I>g_6O);?N}rPhIoSRBTs@l9kb26-;_xM!A~e{Tw7kk~3+GL_p2c87jHnIr
zuKhhBD<b=aA-1EJrKHiX(C5Sd>f#(9TFW<vh%t|+_C?#Ra}+D)*|-LYQr;+=o=&AM
zS>Fdw-Wim3^4tZDboAZYaVs4-U!Tv11n?Ynm(5?ZTbg(Zg&<9*{n8Chs>%I}H@ph7
zKi?B9?9kWpCGRb=-}#B@VXorbGL_Z#F5}bqK<q2n<)`jhD^tD}9$qTWxE2H)m))k-
zZrGBuPJ-X^kKJ6apYo;+5$|}D|2BQD(pxxzrWZE3DJxAK>HcwlPEVJ;Sn(nIJY7ot
z9<OieShnGt+k9QieN!*rg`UeCi0;t;qUc*{ougbhBf|F|Z?51*oa-11!n=P=-^ciG
zX%9%EE8iu)_hmoSyP+X(dt)@dt>i%%x?{|%n;skYMysi5_<3&r4$*X#8)VDfK3%Mi
zb}{yR!}E*GcqSXs?^m_)T&pJh$_YtcwD`pjs|-^rsb%h~TAGBOIf}d=w#ylZ-6zjG
zoL)xsjz$zSTD|gkz0(?+XR6TPEr?9(aB?NU>xYu*qqg-zJS<Z3#QUJF09UYvH*?;(
z#<_H){eEqAw(F&6b?zr|U8>A4wjtNvZ>6*PsQ=`<I<At)Dwi$w2wJgxDoXCM4N(>e
zt~#&@Wx({g;>-JJ*ldG|TxE|ZTbBHoo3i(#PF?sbr)u{LRm?EDx=T0hUG`Xt^4+eb
ziN}6q4%kgu3`Mv%%GbZ#3mKfk6&3eF&J~^(dufjmk@I--lEqeJzA1bSJW5LC+C!vD
z9tw;01rH={ik^j-(^fTYbDGAwbTLkD=Ld~JFViy6gr~ap53qQZ&iG$h*~B32j+PEb
zo!b&4q5a%HT`e~H#=^R)A0DiF;8wnM!9}TC7b+$24mtT${m!*v17*M{M#^;MbGi>i
ztJ11GzPng}pJ{L6ZYN(eZQ$}ZuG9Kue9^OsMcLhB%lGh+6T~d%c@%5B<B&aKLYMnK
z>g_>ICEcUj0p2209q)|Z{qC4(I_*0b+}pxW{)-}bK#<Po?0Q9s@ya>zSK~%p`bJ%}
z^<c_tj!ZqjfCrVU_6fdRa>#oGZEaCgmG3A%p;0{!+L-#a8gjr{q&teW)UuI^q{8+i
z6iQ^g1q<l7?K;j`riSpH+g?w!2sfwljU}$nG~w2|TO)~9qWf>JO^`U`62&ED%A9xO
znIlr#dov~YTckIUcVpcSNyZ<L1>i=%t^;#j<qGuic<=ti&(O;!nja!zr|aTK0V~eh
z&xbbyg!?yk2XPOPEp^xepaWn!Vui8Cxv!E%FMbjAr<xRQGhTgnUeV6K(fs(23gmT2
zI6tU5llFXb+1IOYo{-cXH_(=T*xuQk42U5&dETQ|%46ZU<G*b_A7SKq865lG+uct%
zv)^Bn?0wa=w2~8_JKMONdG@`^(SgpgyW<{DumY@XV)uJ~sYB6_G!VaY8`<$;Wf-Kq
zA4g1R@(a=}61QonXX?+^{WTw!(+=re2+z1h9CJTJF5i>o9%K`N^1~5$!fxX3xJ;vv
z{?gsf1rN7JSvQ`aHRM7~g7O8tK~u%oQ)+5qt}KkmMTU1>4~2BS{O&=j`nBUS$Ft7i
z3Bn1Lxn;Qd)_t;jf!%qx*bpaIdgwG8E!)?d<d`Z0nN|tqJyaKp1FgoPsZrQg24jam
z(k4gUeP@bvk~cQEi4S|Y(T}pl%3}}ilb7;%1|So2wR%eiH?-Ij%_~=;uV!o+)3Vvy
z-e2Q)+dDk(4sL9*_in*^bzqqAHG6>P0x9E_e^t>cznetS9K{^XS*=Y?1a`nd62|fI
z!pgy*qQeMh-l4;oyP`3!okG4ea`{VQ9aV!LE-$xL?)|oVZv}-<$*n-8r?v+EQT!}W
z1kq;u-8|zZwzVbMTs-3+Sz0C)JmmUgNn|fx<RmQ2*cX(giY7YzSmd>DMr=6x?$^QI
z`o9Wq$_`RVzf8S<#6KOBWEd%ZV`!ds?7>@{*S;A1*C+f}v*UwoMh^SG?rM!uIyB?X
z*Nb09VO!s8`z&NtRY3ejMkFiGw}Z;0T@fK0etdTx<gF%iZk7fO|DmBF00bceBlJBa
zB;!T8zGSnkE_b9(7sOy|&U51!G~*U9%8C_!{Yibk!xN9-CKj>Si@d2&?;K84^N8=v
zotX|97=zE9>23K_rShfQZl2#`s2;EPTwx>YVa_oK6cujB$9nrJi6`29zC9QuIq6sm
z-vo7|3V9Y&MixBf$0k7sgQ)H^9}E-M+il&5W=;?0f9cJiZOpf!&5wLq*Am6VqTYHE
z$=URcnR&J3zUl98s+OaeE<Ycr>ZNpj6%e7InVw5?m#MZ`ZsE*ZivMjfqH6DaVeF7O
zDfv}Y@{oYw=A7>;GX;{WYPlQB-_1|f#qtx?SZ7DeS5+AoM%T2veVhZg2_8vV)7=ed
zt$n5A?((qmM;|B^o>t3Z{M@)JQ!-^V!1Ww6kN5PDO}teJTbH_SyyfD0Sv8w~TaX+1
za;eAG(-e2YhG!m<=CXGYyy<JxX(pHR3fvS<xL4izD|=flE(E9?SbaWChXl*qXpfe;
ziFOp0|JJJ^0W@doQ0VM<oRnwlCn$2T1t2t5E!_=hnhz`(sT=UL`?d&89Gcg0v&WTm
zXV_G3DG7Iv?G1cdhTMXAHbwqZSImU<>Y|a-Ta6cAv*~^AW(~9qpCZ{pM;=FJ0L5`v
z0U7GFjMk4SgSC&;U(^`aOzM1QN{E{nuqmB(51Cn|Bij^A=siBqs9aZiL3{vg?{_;l
z%<siMEkY^j3oi*!TPA%|X;zPS#~n|YMd}Unea1FiYQFTnF3Ep9wK*`hHb$T}*s8>I
z^s)X{o4?$5w|+dqw;Fw`s}>}`_KtI0n~^}m!HvG9D|rjgdVgVSYRbuUYK};+*bWAq
zvbh71uMPzFgwXa{OY-TxHs#`tJH}lehK}g3rcH0h3oZ<{veTInRvvn=f}je)aXkpT
z*bU9RC<7<7@*ATIQ6LL($+izwbHL2%+{57mz%bq%L<_Z!d=H_~AxPwFH2y^)_*A;Z
zc_-4KXH{0gy@j1pNUxJkZouSa&5u51na}jKlMJ<dC)Ct|K#Ji?&95%<rGIm)Nk7V4
z!OvRgOMj>LeI-{1Fdn~83DszWYUUND6#^$~vNap2da<jHe~S<HWH=(n-Ta(}{`zo=
zkoSDG)}pT-*YVzEKK-CcAZ0xK)>dtRI8f-5XJ<ZtnWtb;n9(~{zYLCwak6APH*T`i
zE!Q(XhEP*N!+ht~W+k*ilWKwF+S7+d+rs_v{xvyfFOVEcgyb*Q1W|mjn;utnnb}Dh
z-0h)iz_Vsz3Jkw%yr%Wo1J9=x)4cyRel1Pb-iX$Vn!PWpjddS<eWl&)I-yISspl48
zaf>J4!X^3quD&EfpVzS2&|Fn$8WeU`x|J+=&(QDQE!?0VDz&$XwUSzEGf_<&7rgx#
z-CfA<0`1=M)D0;C#?sckj$DY|(kiCUwVphf_GY_@Rz&*rVnuwf?n}3dV)s;GGSL4c
zD;wu}dq}Ivvcn$>yYLrY%H3D^KMXQ3QKjm7b;RO{`*Lkv=4;~QOxbcHdc1~)6o6y|
zwgq&Vs0#ezf(Ab*MB}#A7F!h1l^R`dnlI*tp5Y%C{^DPg6(YfayOfP-MXnZ&ZS?f^
z($wARFD=qQMd(7yy-AgJQ``U|@WE`@)?~Fhd|x&I1HNZZxYMG6FEpv08jW!owR%E&
zv@@p+I0o=u*4_2%P{alY2d4}Brb4TJ(UEr~#zg}z0#-;)NeMp3O>ynRMT#ROB?a?B
zN?Y_AA2nyf{VISR%=A066291#sLs{rguxydj|+ktyO4Z2)$?RNG=;+q)7V(ct=rMn
z_3t0mmBFmRDTme)w|JWc=%zOv&w3+JNMP)?8Aoe1H@=FpI`WeJ@oyzD!pR@9wAQCA
z7U0h){pDf=T-oc=23AHLjOwjZuT<SBlnUJv=v@D(FqJ{v8hWWPqy<gMV)$-aVc|?@
zdjE=GWe$MRIISclI~9HXzMeQbtEn33T@^OU`+hF2Mg`b3=s!w*P@S7~Kh+mty0iiN
z0<vh@shb>z@y06t{&j&NC~;9yB==cQI)GOgX-oKR#!AhAvO>^NP+HgdWu~TnFVrZa
zr>B4ZB>>rFYf_^tUL(J}{0(5^Fl0E8%x($|A*J9&=ypScD1Llg8v$S>sA*=v4qgHD
zp$f1Rx%;#j@CQs}*MOmp*Vx?$a&`5Wo<j+~sUI3H+3&`k78-8u#3}p6lJ?};tIKml
z*9C|>5OCfB?nfB+3%5E46&ShBr)<rVfT8et{iTOKjuSa&T7T2Ue(y~*w7ASnU{jjZ
zX>J+t*iClkNJUx>f5hQ5@B0mn@lsQmIE0Ia0V{%c{&l`1R6{}675*p<gb^qxh%fQ4
z>$ZR{KEPq283OKw@#WTvz!7e4+Cs<JW9>r{JsX=lIilqcZ=doHVB@N)suUt!hcEN;
z^AAAh7|M~t^1IlRNn|xx=TCh5wymhFMIJ;d1{RiO0MS&~t+rH|FuwtMF=Smm?YWvE
zc=9_CIJVxy6%cL2fzdjiai;{Nl@54=%8BBa3#|^&Se|wnR-As>%cAc-;|i06L$1Xz
zkQhbE6#?=J9sz-*y?tqfT#+=45X!`m&BM~nfhAg6UVfXHxWe!E=La>|!yvHydNjh}
zNl8g@Z{B?AxGmCG=d=i%95o-`gzLpdS?kB*;wXpK%fzaxD$>1lm>9DH!T=yYrsHYn
z+c1Ijl6-j01$Gc@cz1vQOu|M%pS(IJ0Kp#Y?A-pn-q7I41Jk8$mwf=0(aT5IsW;~3
zb&dwz#>M?uS9fx|wGxzAAQWvRi8ZaPK5g`O%sT?-D1rF%I0CZ;FcByOShvPWl_7aT
zVj@g6?HwK6`Z72;c<9rn^VrnHgha$o5P1H=A1EcIm{?dCn3yQ(gU1U*A6r{RU?z^)
zpdlU*Ge8=ot)-ALFfgdu2J0zZoSdA3{XGEJ`26`ZW;ZJZ<)_luuU`WiftKEXK6i}9
zX4H~?a^f)yvKi@~&*kN1#ncu7A>Z*ZD=RDQ<HvYNkzKDfi_GBl0?m>>TBH@1np$W+
z-P-?x1EAL6-~pjtEKE%OLE`sT!yjFCW;2qLNdSfg&_b2TIsqm$7dLfQ4YvW^Cj82H
z49*EUn3d-JCNTZRtXHE@l3XoclKj<%JM9$AMG?RcStX?v;0EX(J`9SFC)jQ|w>R{d
zM+ImX^tmegnbc4UFWIec{(3$>f{2bHj3Ao95LwgVFFlxqeWRKyjTq=aFfK5$CJKZC
z;A-!IMX;8+nws@oB?puarY$<2KSqp@?E;*{0n=|)x~mo+0Du5kp}qC`(jj5^$`_%@
z!%QMzUSzmvh_eZMzW~(G5;!_Dp#EIeN5T=qbFS;pfPo!}xu`|pIenai2zndz#(RL!
zSPZ1Mz2F!EjV{w`odHHnWkB`wYR+U(|5!j?&;RxuIx*1WMPNxFiNY!Y9aezJMVMdB
zuB%H1;sP)hlE=>jHu^s{JcS8fYU)=2x(x#@<9B(e1#lP8MlS&50Ut>ql?_zI6U!f>
zTXp_v{pP0NDYTi1?Ca)l0UQWT=Z`=FmQL`)n;Ey|HZd`IrgVM`d@#4|xTuvCgG2~+
zn|1ZO<YZasY{MwA?Nm*4Rn-%qofKcZ$eVO30-E|3Kvmg@*Ss~E0JysG6VmYTaB42D
z1em8qpgFJ*gJ$f7&;LyNy`;&8F>o81|JT4>7-@$|ML9sNi0}fy)JP1CWVF_$gEHYl
z)923|FiG7(Y~&*bm?N9_iYm-8gZBbl7eU$ppVI};zqh}i1EWG7-rkk|*M1zFoK~ZS
zgnoX0U_bbTgi^rg0mckSPaHTF*v;A5Sp=d9mjWaWbFGmZ_Pg-r-lU~%q#|qA+8cmn
z8ceas$jBH~kI9A=K17uqApxm3id-NO9@F5+%N(LCphd_7<oD^|Q~_OwAaTQ^qB`g1
zvVg*^fMG?1^BZfq3q)P?eI5?qGZ)y{FMwRtK`^{0<n;uB;KD1R5fDg&G255>OL8!h
z+!cgzH(AJ=8vsp+0Ym`kxNT2|_q<quL1)C^IE;YGA>)sRz~t=W#f0BZmhaI$piWm{
z5Q&bJ6&I=5P#H)|1TqEIVLS0TczRkN=z)_R|7$GX9qVf_ByhFvmLmoDNOS(zLbn3j
zTw$Ie0I+f6j*yGF>q|;Fju6A%#>WRq=NdztLO53dufu^c#iO9W6$O*@07AL`@@NW?
zeZaFfPO`<~X-Gp=5)BSf-(j2BX0AmDsDYAlkuyN&QUG#*6Ore6umbIg_w?T>6aT_M
zFQFey-s;<YOh`zmxBng$7ABfM48!;yKy5=G;XUxzkP68^eF{()p}k`y{F4OC%uy+v
z7KW;|X?U5Um|+F%Fzf{0_yME=F!=s9Iazz&1L(>>GmY-SC^?7`<_s8l1`byN4m7Ob
zAskH@U`S?by|@$EB@XZ{B5yJBzvKc_fbsJfAeRv?05O*iHWHEZOuJ{oyb=-GAx8EL
z4A25B2z=xo#J38c)0bnP_kmYhS&S7iA1^l^TM53C6Y(wMPtI2Wi@=#h!I=b~2qUWb
zT4jdzltAO~D`g2Q0%r-MRaFjinJ~=qtJEMeD~qyr`Xv@PWkeSwF;TkAu-Ovm+SaQx
zCUD%)a6yE&XU_;=I0G;Wv}kDw03b!KPH3QG02w^k8F=Yp{rY#s#mu*`NksMa$-oDi
z{>+o}f!$29<->5o`KCrI{)|UXPOj<dYy+G0NtnQPox~Pz&e1!R2a>LFX=zWry!cCW
ztHlvh4l*N#|DDT?VEzb`84HvDr+>R)`5HOuhfkB)a3ll#gA+({Qc9Ag;?H0IU%0%X
AS^xk5

literal 16970
zcmcJ1Wmr~g*DazVB_SyiA}x({OQWPpmvnc7fJjP*5>nD4-3?MAE!`ju(jr}FKJVVw
z_g?4v&foK6Ut8c|t$W>T-gAyQ<`}$JQjorjPJ)hvgmhO{M&bn$(v2wij~EpNzT=?%
z*&PW<3|Cg-=_|M7?OAv2SBGcc_6L}@&T|&;p|cRb%gKl{w#e7uc~U4>Z$7<U<yl#$
zp)q&FG|j}-({05r|GekL@C=ud@>5A1BWY35D*dB_^P4Fghdd$ciN0%>9;c6ad-(=P
zR|F4cQ;VgP@k!E^S?`IVF2rz#yGK{$W#WjT4sysK<HG;wV?_ON#5hB!aVY(9!XKeY
zpi)X?{(t_F?lzLY8B_hNg1r1)+E}y{1!)->RL$*LFWMLQw~@kEd#i)1Gz&*YMqYC#
z-Prs4mztONq@aHg-yYRIT^1SFhLMLSelSydxXN0qK$Ve_lCt6QXu86DIA?I};%M3y
z4Fh9o%CcB!Y20d}#8;Z!-QQ-m?#9ndY3v;NBo_tjYmIV~=!66r0|SH10m}AMS~Q6o
z=JH87B_$lk)!vrj;n?$?`pC(0Q^#rRYGrkG83~D7jUI={p9>1YLPF4)2r-<Uo&WC6
zr@ecJe6&3+y*XC6F<DN>#l`jJ`tmp;PVV~Z5)Bpg^>~pEDW8KsxsXRP2jA$}*buCs
z>Eh3G>7gGzJ>r>zN-ti#tFGojLqp5T&Q{jemOI{=HJ@)1a;Z<LsNmGBwvqSn;D@K9
zrlwZX)$MN$!077hb8i2=wB$%>TZm&SaWB};GBq{TKPYHvVd3fd(KesmFQg|Xz27=J
zgBm@L9nQC_4~l&*L!CFr*zFf3ifUI$&i-!rO<Jw?@yuuG)Vq-KI|ai=J~3!V4G9UM
zXJlMDp7+U>jwF9`b-Ko+QRa_D#vc_Q-?=qe{yschh!Ukx^|_7?+4=FVbmrjCbn!b)
zCyN+yOd4Wo!d^A2pDbl$Wfz7OMY3P!Dj1oX9<<z{z@eZR@WU3Csdw2%#l|*W>rZLe
z|Ng*fYa%)(=HAiPq+fHh$o~F51fk^%{A_j~e<d9glboS)Q^l3{bg4?@Zoh71yY9|)
z7wOdFC-vnJhf5jved6l=)#67Wsr+HL>0IG`Xy{8!6u%7m5DtqG`jt@DCZ(_W`5zBA
z#~E*;U@F0n{`5W>pr?4V=L?^Cp{e<mnwIvlxw&~r27UKP-ph|c6y7IUyxylPMA^^d
zS-Ma5mp<+<buu<zo#p@eonQQzN-9hVUsBn^((>bT*2Y(pRn|#xp+694j7y!7YF6Ay
z4jb9=kM-W{2Oz#bC{4kDE%Y}E{_Su)>&h5P$jl$<su+yN`Itxs10qdQdGGL$hMhfH
zwNP{aPY<hMrDiQW2(QOqde!`ouq~YfurYWP6ciBL8X6jJ;58Pgmm=qnK7&`BS6nQu
zjBmyL0BLe^QbIxkhm7p5sDZ(wgVnywuU|uKn@&+Am1~ZsEK4V?{%%jlyC1Cb)s=AD
z&dD`<Un2eJ>Y{x3@Y|q+tel+D=vS4AZ5Kg7!S&%>Y^3PuXlfdo8+Y+;MRZd7=f~W7
zG!r*#L&wGzrDapwG1&3MdW!R%pPxH~cvo+)(Z$JrMB4b~gR5H0N=?M~FZMfYe}Bza
z!oOXp8mf@nW>U^);t&uJpsb@K@8u;VEG+yXE^cvm7u!y(j4ze*O4!W%!ULk47!$?9
z!U7c?J)@ui6CRqA<St40clM><Cq9wQJShsU<U5~m<fS3jwcuc!oq5R7#!~rKSWm~1
z3AmIvtUU9+JXGuM>G2KBtCGsZHIsR0_&sc4)^$ERBLlH#l9IP0MXq?Qr>l(Nf!n`-
z=Xm`MDI+s8k;520UdQFW<66IQ_Xmbsw{IiPh%~9^@lJ;kM>>57)%%1#lg^5{D(mTc
z5XB!DULry~LBN#-UM~(wI7;SV@T`q%yBS9!5+b%I%Z%Y9_B^b!(|~ZEM!$P^WlYPq
zqo=25zp;L&4kL5$$5^3O?M~gMjEoG@XRT@*%m>`P`;KtrL>3kntY&I(Sy@?8?vmX4
zR%5^PrLgcn>+R^+zdGN2;(27{vNh3ySj0w7l0pa-Ep6aJTTt3wqwmc-sW{^gY#Ul;
zY8_=26jmVsjsLC>su!x-)NgaQwzb_@AIioU*YgoV!lP3#>QCmofGctYvuMYy7Wb`|
z|NKIPM(J-S8?ISFoh|pji$TSgr++gt9&vDRm@U^t;)o^Vg-eM?k_(aI(aq?DK6@BS
z#A*VmuD!DpB6$=`8g=lUo10sS^QNjz)2Yc$!+}C&oB2KF$G&Ejn%~18bVA-3#garF
zM3$72;vc)@yu)mRxqKqVOzB_qGlG@Hnnm*!924%?E^3`ndC}tWw31-u-~&kr05oG`
z<B{?4rHzd|7kZlkBMw{~98oi~FH`BkCJOh0l~VdlGMk!GfBcYvpdP{M+`b<!)!p5V
ziiIV-#_Sz%a{Z&3g<xU}{X8U}UE`Wm?zxDzd|}>-%RH>C+HGQT+XW7uxT-249IXiC
z@HNCgQT!GP^m2zcj93p3+AY*3v|a^t9Ifr{TrFB)uEuG2%pdv~CZ%T{nviRj`0;ql
zcNWnz&Fl1TJ61(&s%N{HF~6I%GP$}q6+GyD(r~((1gSn{-_qx7gU+Nk;i-)c3*1Yd
zp8<}`eg}~r?|0v_@^U!iwq*yQj%uogi&v)tZpYP_TOq9(+ov=8``lQhMXCavDl$ZI
z=wfe#-1l>MQ_sAyPYF<5R>@bI7&BzUVuUw`^PXs&nk(Xt9|u$a=)76p*N@E*fEjKr
zS#zC;O+3Brk|US+E`vUdOdt*_8Wy>rOb`~CdYuykNqAs1mGt7;TIbo}X6f`cq;bck
za2{kf2ta<Pb<up)!Y}#x;<>~6m6{q2ZtNb7sh>YT^f>%2DJzQxUrbD>yX?%!+S#!|
zVIt+Vdpk7rVsUASog^HRi~XP^kv&|k%=6eLM=?#|>C+q4GY%L}pFWKcdWty4Wo2c=
z{7&?<^{%D^sX`y(;~m$3Qr0<de*flsbD+nIh|Yp+y#s?sx3^p*%f6%{ZoBrQAV<ZM
z{cXQdEO~+<Wc$TKy`zH}Y||^WLpd`p5|qv=1E+bcH%&A_>!^C<B&2@2bhB8wFAd8$
zEOiJKndijK!{5ip?Jia74KWl8)tg73o}O+^l=|hp%pIzCwJmBovyciSZh<nvz|5Te
z<x6n9t_NEAWN!~^b8j587F$xEToU(PTU%Q=X6DmX%r|b_c(d1X2Ud<av5+|e;q4D)
z$s!8vy!UxHRHd6GR+AhtF)<VMuB?iJ`?oX;3H9{!AO!|TM3~IhIU~|N<Pkhv+^2GK
zm@O?WZ%!71@QH}Zoi<(&GHXhRiXsi?$Y%l;Az)P9JKHSABPRawcVoEg#}8hLYMqO4
z)y#!Da_gErQ|bfm6`XPI;Pc{OsbcHI=K2`XWa6Phg7MBun<2-kE%Y82f<N*v$nlDI
z#BAJ!iZ5d#28TG#l?Nn}L~U2+X5+=Be-rO7n2hbP8XwgNJ6Yn{sje}wveG?#hy;(^
zdF<feK+nLike8dfm}r_x$;uizGo$_J(W9E<InUa)R8K@n)78~=+87G(zC6PvAP5Kw
zx&zqBYPRm<_0@6njQd&&th}>SWqbd=F?@3U&;ws`;cI@;B2-s8etr_jnSj}T3=Ehq
zeGiwAk{T+~5h!ZD@|dc!4%ID|&K)i_=_A>x-xa<(9q<`y^mM&CS;Btf<#nIk;8vzo
z_#+mU2!N5ajq{5m1ug-*F$brV*}>P^(;qK8MjI;sd_!AGWPVSLLw6<}WbYmyOe<un
z(wOKvZsc%mOy=(RN--x=;q_#Z*o!|A+#AlHl2{6n*9TdmMp_?dw0dn!3a=Loz*9*Y
z8`JRd@kQ(=_L*$C2)NXfg?7A~wUI6!7pO|9)GRdPB<U1hAq>53_Qlfa4dcv`ApxM?
za4Ems++0JXhK7cjQfF&XQSsKEA3t70dY*9}*TJL^CWZRaXX2>6$qOIVEp|<wH{)E~
z*my6M*)l#(WTt*Rn5@cEUsgtfM{(gDb?1)s!S_P62EmLw7}aa#)nAMw^ty?I@i1Z!
z@~S6@eKb001x!nd>CzO}rKf)d>Z}%Rk+d9R>qxb0{9UQ$bf#rwy>5t<Pn1sZRMQil
zi|T9B+ci4-lInk!ayk`VQo=^=u}+!lbLEbLN&I%wDhKN6-<{c{>x(s!2`g@ZmEr*L
z*oZMBT9Z1}aI}~Rt*Qd!G6v1s$H(Iz*wpwE>Ai`5&Qj}NP{357$^8EP`-@$l>o%L}
za`RzY6f9E2lO`hqOHok~0mZ6p=XcCX{R0Cz48LQ3k01-ppofAc6+zlnpiw?iVUE|)
z(V^|Jk-arjJ6!sFLC^5snp(anE8)y|Bv#AauJgJYZl_4hEa%VFv1;6k%oftEiBC-L
z;o&*9j^*^fNlFeHv@*Q-rm)6d7T0G|jsV|AMp=eGPj;Vu4Hqo6Bf`es=v_%^oAjyq
zL=?YmJSDOiY>nqOHZJJ4_Yg4Ity{N#=Bu#^3JF2g$AF{>$Phn8p%aQR9Al~6VL($)
zp(u6@48TLZh3y*}9^RNJrGk$xFB{3x;_WtH3)?pAqm-7GX659(P*IVDHUe6Kr}?9Z
zFLD*`UdO@t`qA4<{rE9@qpqTp6K8fd;(23hYIxxSaEFuA(^A)6U37Hx_1StJTwL7c
zwKYU1ki=~bK(A$BATl^OFs`h_AU!L~ACggB$H;ozGUP6a;&Esbh%3cU>!t24Lbvx-
zAodpW-OB+VvVw|90w)$Wx5T)(@9%D7eEIU_GoWI*R6&hVXW|%9Z8gW|4~GI)+T#kS
z5(?4%>bbUggLyrD(l!>+yKX+@=8lt%rA;3+`_w0lEtZTX`%uBE?{V&!S?sMx3eVv{
z)J6K6$x{3BvTsb;SOh)v$6=A>mr3Du%8KyIuCxfEoB>D`ZyhTc`Vg)CeL$D{o2t{O
zDg9ttgYwCVCNIy-5d74<>&smqYC1Ze-<7v---ZIkV=p0=OaaNQW;eu)y!mVBls;<c
zZI|tL%{IK1o;)L?DJ$koy$S4o5PQ(($S5kBLWf3Ia18B=KGc~6IogoWP_nL^&!3TE
zyCeWG0&LC7%7Uf~(V+^sY<<qjL3!KV{S1B^Rv|z@KoDU`L`WF(;e&*`J0FsC1Zg_d
zh7TX`u_%NwzvZTRcSBl}m6eU|@NHe`f>YQcoJzmLXIbmc@c7*WTYt~p03zMDiXs8m
zS465s{!Ly3zh6P=FfuaQgJk9~>pUL)=~MSaso{NYD`G{VLwrEKfE|~hEPL)Yb|$bJ
z*8ClM?hZ|w`)Z=8dX?4v2i#Vlp=LrTIZPVID=R6zRn1>Xah<#Iy5-&N_V#wASFhTk
z(fN@s9+bdiOTIl-X@~$N$1{$IR?lj(EMTtDGd4A~zc=v-0|NskblBU|)zE~n4%-Dh
zkG-|n-XpS``Q2<~d)nhG*|VOpCZUD{EWtmhThn(o$J<8o;5cL|<kF)<SR$?pr!;Uh
zUkwij=WWaDUrUi9C|9ICyiGac5ChLXX}hm{l>5Z_USPK&wm(JSVC1EuJ(Rtd&=5;y
z>YwZ_$R)7(nx=Wh!6jmolfya;C<O(Rp^Yu|zVvY7C-XzOYw%~e3!*Y{WaL#*!=Gmc
zhK9A*SLaE;`_b&@esn&d`~J5+*pp@Viwm(>uHRs${s_H#1M%5$P$$J5uO;D|fb||x
zQQg=(I{I!?{ZdU07>M8{Q^-sq8N7r%B;iu{l241rhwGfhefwbN1#<R0+}-s#5`S7$
zMl7YLr@vBDd#RxTT@<FWvNB>F`Nd6V{=~@0$fTaF&&NO75kWkzkI}xZsWR28P~>C}
zy)Ar2+;omb?uHZ-^Q(g>9rpo0nU501ygXdefQ^`#?KPsKW74jP;<6l5($stw&!VGV
zW`x!g&$<Q;j3_{^QgzbX1mRMdhBv<~q2&P5g?oko3Met|A%wo69gsCJ1RZehAy%bR
z@|V`w6Xn#I2wPiQC#r2JptJdysNK3EOB9EfX4U)sb=7_XW>$Xw7gSv@f>bZUR5#?J
zCK7Vb0)6derthMEJ%pfyW<W0=F(#F(kWvGUI~q3j+Dg3MDumLnAJJ6W4qY@e5RtuU
zB57r19J=18#$sY(#GGb0-rn9wGj9(1B&4NpvO%gre4EPxe{^&dxP+iia?h}Y1Y#gy
z_6`n~s^`5kRq|EcJUyQn{lK}nyu5+vU*Cs?Wf^uxKuRlj+13OQ7}yle%tXm@D-W_y
z$cRB0;R7nqYLUq3N-NV>7(FI_GurDDxDnV)rlwGee$l9eT|cwXuVu*#7;T-wp~!PV
zMJD+!8sRnMdU8H47L4&sIF+~5N)313dO%G86B-~sz>gUPW5F%d<p%w^OZA6cpY4ZF
z&i@)x_7hdhJgls&gr(o{YY`O_LoU>;<litwAYBy|0-zb}wnoPAcN(?pWczub{RLKs
zhKA<k?5x{wmy|w4%-Wh6HpGFV!+nhqjhc@y5neG44$il=G@pLR6l4c$HvrnT!@CR)
z4*mtL+R8^YUGuU@#=P4q>Q*iu(gD2J`h#ZBCH_N-t+cpe;Y(8T@=lZ<*Ws+iYEefq
z7B|FDiU%U?{qn<(Nlo36c^Hy`K$@xEXXYM%*IOW&07Cq=7|JTVAxKV6ZtAt2_A)e&
zOOwVo*%YeMw{PY1pHxxP$>C8ub01ypcT&K;ewMGL8A}4&AeA{-O2SJ`?GKUFxj!|f
z>3wx-8YV@xIbLkq>W^mXy!~Fy^`oY`7^*$GO|&S|ix)2vxGV_)sZw!rj_iB=!wFb%
z-@MD{(b(9i$V-lo?_XTZ+SJr!Dx{=kS!SSy-yo#WtX7R9Rv`gbfD5=SzNd2oT4B(l
z61u*ZFJHF(9?icm;KBrDl1aVf?a7H7Cdy5nx{F$i89*7E#m(ezp;5Ksp4QOuT-{9^
zAuep-(hOlhr)<}&?ck4sr9&$MEwTxKtmT!J8%k<wK^gRdXX}{|d*yJ5QoW8QhmW!;
ziUpjwcj_N$b|;`xwlma7Vi>LeOvfbS|C_ZdviI$#s5s5=dpx?-c*|<6y%=0zPI+%v
zoB4j(Xmh^felUI$>KGKZPG-%A7SFbb11CLPmS}-$y(a?=N?8J1r8w}f@zgr%3U6w;
z;`ttwjbe$TQffz3h$inH4rP4oCV^eN2c>gns@`vk5|z^bc?=5^9XEww>+YRr|9%)i
zYYdi33By4!R69!lo@n?4t?sbOHjY0|D~&8h`}=}2O^#<4BmZ0*KHl`ae=U@m@1Mm<
z*Oer@?R66y<=epO6XC}Vf=;H5LBX*7w-EKczS(%Md*J-POCxrd^(=6y|MzaU7A35V
z-u`!SCWQh&v>1&=U@uMt%zb$WvsI92^PTk3DBI^{;jw>*YUPu?!x5{Y-e`4LTpKZH
zn%DRYxfylAA?x;{guby5O03E@8?1c=u}i*B2meI}u+E7@t*)vqhsrj@wox(T(2W^?
zcwt$_{*Yg8TM2$68}S=0i~^YtD@*)w7I(8SdeAaEq#7r4{<#4HZWubFuwGUu{(A>V
zfRR|+VLBd&&r?IDMm;=0zJC)}EI1bWYCMX9zU4!`q5nR6jUX*%`Cr7tAh64z;+PL2
zE)aS2pn93jQz!1<T_Fs{n@i=tFGeI5{4xq^rnQ&Am;ZTc18Wb4<{UEBf07N{R0ik=
z3;mD(eScS8#$jQ;h)c`B`@87&aOk=FZ!B5g3kDe1&_L?9upCqi_`9Ow1H}4cM#iMS
zb>-ux@PJaWsV`9}Ki#a}Xw|HBpeZ*U$Po|1>ixvE>2C<^py5jQN2krPaNxq(^;`XE
z>vu*Tu*R`4{U>;3A3{le#KaWF=eU~eQ~*RGi%y*#(BFe_nc-CNe4%rc_(2O`9^XKi
zTxwGKoAuA+U@!tZ`0LkePLe*^&a>lPMWFF92$_COnx=Ial=4QXyn3}a<2bNCVHmj&
zjPtLJ4R_V?OE+=u-GY9>wUYpxj9U97!XNgz&mQ{S!8Y0Z)q)gu|4Cq280O;QA`(!7
z2GBY~_hd4V>LupDhsQ%BVNfbd7l$Kukupt<6WY-V<aJ(ter8n_A#hSsQYera@CgWT
zNlE4O^(mp#JUKrX&;|Ae6%FmiL+CCf`Ra{+3UQRk&IiHJgUBXUl-p+J2jq2V?~SJ_
z%n_{@q67nHU*d6SQDrk50ys+V`iuz5e6C>UBrWz^SD&8G{YFcZ3$p`<%rGq}U*twJ
z`VmEmd7tAJbZXG}<&VZhMIn6?I-Y3*Hu(XU%#NJc`D-~<t=Kd*RLU7xdsK6TSMp=!
z<jCb4Y@Ai2?tH~?Gz6*>1G3{NTnWn9`1JmX)EapV31;cLgqS89t@p%&n-M^4Hs1M_
zz%2x0hd8G@7nxQAc}o9N!4`9cBq8zr-6sC(LJ!C51tR)a0z;p6GoUY2F>woUNnxaW
z>mp4M1U&N#P!ds8D6*vN4|LM!Q`S~dTp08~95c=r4hpxaOsy$tiuLn@2DsPk#&dn_
zMqaD(aU9dZ0bI51%N{dYS-}+=K`?o!Xxn}pj>`0rUa_quCo+gc)3sTT`)eiL#mq)g
z^Pxi61DuXaHHmz(K%9)|i^jhV!W^l4NUS-`^F1{;l*6_u0(9xf)YqQf3&z_Pe-n&;
zpaRb$LB)XnCgp?l4(`qC^-09O#KfpEP$kKW!pDjWCOUnZ=QH7i2TM)4d`aG5#NHb@
zoK?58^|>byz+paU6EW6B{G&F89fvNkv%15e{GYoUOyAm@^q067Dc|8^E`dFSo{zQ{
z%^u}Q1O0|B*}GA!r>OQ=K&+8<-TXH2Qt?`$tSF!1%Ur-m!1}<}0SW-<mrvF&OK8<&
zyz|}apRAOri40^Jf~k>9;s3bO6aP|4=^OB|qv&fDZv>rBJl6ls!xlQ~5SCfFxlfF{
z@nd3R&Bu$#pr5n|aMY|mvMF{!MNH{lS^Bzpcw`K3K&#Se#a(XDfe!o<;#y-{too7`
zrT?T1WoBPDcX#^%q2s6zAKF*@k|yh%86yS%1ZyrNk6pEKWf7|8!H$d7kgAyK(@<0I
z4LxU7e(^#~Nh#`6dh!^RIRC#XdGuaz27Lp-XCP(>e0+SMt_yh{EqBqSy<*II+0B&K
zVxU&T%c1m7w*A5%oEj6;3Wo*_(`h#7AcO4o2uWcBKZowWKaUedFfhD!51TLkV5IOn
ziz(v+{0j~bSAnZ}7|ED!z2KBarBulHO)O(#LJLC;V6#y|JH)iLlY3}zQdBdqES^Jr
zKmAIB<JSWH!|T&OD`uQUTB@goDtErHYr0!HDOQTZ^fEp}6B(vQEmqu!=>#N=lId+=
zi8#!DKCBeu&$hprQ6ftL=^|O8@)mFrh%Ol@WFr$3XeUdib&7vmJJmG*Q^a1-_`Z7e
z3I`v*{flyDiDqHMuBW?u9&Z1&<<XfRajy%l&a}$E&le+#06&4)6#c*p<`oqIHhNt>
z4Fj^3)3r1;s;uGPLywVSM-Mfn#8A_@Rqp)&>{Y5+SYa_55-EI!YNk%~2WY!|xc26M
z%c9CX8JMh5c>TqN!4o4OJ;-~|P0D$BHIgh`G!yR9f1a~iDtexYIC1G5Nf}B?=AXq&
zST(KNwgwx}Zx-Hc+#jlLK)e3hxb*fdQk~0o2%u0PVV$<8MpwEMkcgSN!&H+Hk)thY
zUiscWjhfx{WgD#{<1zW_n1<Gb)(8hi(bpklm|Xr!4<cWL89`@TTjengIgh9&xmYj?
z?hRc*{;VfJ6Dqi9kXa5tuWhuwvp7{}!ai{zKgu1SPlx?B#hu_HTBit6cZoiaThuU@
z-lSqN?+H`64{VIlALm(3qho@aZ>j4=JJnv<7t{})p;02$XOwVkv-P+VIS#ClO=`XB
zm<gX$*IG9)RI${r_3IjUeu+qTq4as&?Ay6sGpQ4)vg0mG=VZ4VE)KlUqyp@^Bq=R|
zTw4%0!|o$)ea27Wb~VJidK`+nXRsr3{<G2<Ni#ff&`aQFrVfs>zPCkC4m#ivgSl1l
zUTse$M6P8KEgl836cu|mEwX<n+V{lc_p7jHLI_UziZLTQAp@f59VBj;`67-jjA?<x
zq9dFChl+yS@4vUVM_X?bTx=Sf@*L_g9@Jren8z}z6)i&}&bKiUL-QQbdqbBem&g$?
zH8u6}KZUjWeD0H+u1@K7fgYVdP9LH=<QLV2Aegn>f{F8k0g;2fHtd7H!-|GLg4DYf
zFC~mx(1?hnU0l3*_Wb#P$HCWp11<If=_JPpJ-G1$xG{2xIuo7OfK9a_M<R?rP#$t}
ze#n%L<d0BOQ#*ht1u!k{;J~4#ZQr4xQ||hzC+QR1+qAXtUT{!Qr|hf}u+rGr*wU2W
z0qS2|UeDZm3@~2#kv9xT5@2Rjx7yGb#Fk(M?E3+q6e}z{blOQDc#-|{-DbzVUr(#7
zCdItHg%R-_l3{nc692?@PO#~GN8sz%uj_M-=L`e;<9+%4ul$>d3UBJzW-?OxD<x^s
zM70HBKXF=D0{Slk9+HU(vwpT8W_j|vbB$fy-HR|Hq2}bQ=qmDjIZze0Go9YmkJz&S
zxcMOrJDa@DQ}-GbQuz6<d}eCw*H-G9Dd;<_N*z-$voI*z(PnaPXT*)Xd+f4GhNv*m
z^Vtj|EB6?xIV=BLQIYKpeC)aMZZkVpvjdd9MgXyu`p_?28t-lAIb2Ec#Da&Tp$In@
zg*}bd4EYzRuUC-BK18%W94L$JT2P4=%NqNAlu#)(i2)0<UzJ6aQ2??|eg`<4Kd`#D
z@Noc6>wQE7u1?9#ozUp~i%a2VCr2#_g)aYMU8qTn^-}+Zkc$xXOcQbW{{_zBgYR0H
zbfE3pcLhXAEK(ACKmkC3PzGwGR(W^n#J2VjC9!QI7Pgmov7SofZN)}H3hb0_Ty#o*
zek08G_sildRzK*Mx;i}FPS-Ax@W~3-`fI1vKfU<k-~{Q59M-@8>sLR(g+h%LIn9a(
z`Lha|`dq$q<k|$&&$jnqUdV+wBxa3?nTLdd?Ny5aj1o^h2_;ny8$?#`Y2NY3CriZ<
z`yvG^dZKE&_j}-+K~QtRG|921%#v60ZtrANz$9&XxjznbJfM*M-jW@-*?SDvg{5>u
zIJ_m*Up@sjP06mQUd=?iMNd(}${z!$S;!mC_`G*As$)*HB@V>)O@W|;6|YOQgM(KB
zf)GvNu-C$xu2Gt?ABk*21QyQGwv9ryC?$GmVOJ?j3rnVq{^?er(fZp&FY!;~)WyU^
z2kdu;K>ia%#kR-7QhVU;uy0e=^Bd_$G27nq;w=6vl2;MEjgV~~ar{Vfp%g|ybly82
zg@MUbDCAcjbkk)$?kAfmMx;e8;&hSU94TFQIpH!INxH4_LeutI^H{G&5>Kst&{QWW
zbWp4Dc6K}HT#so+#{INRty^9euau)*8nN&3#jr;W|9G6g^4`|fUPt=@ODNh>?noPH
z5%*B@OZppg<Q746{z$7fy*UkI?Ze})(wV*hO-1uZ_a=U_&|MY`8f4BHbasjdbs6N&
zS=|&NcxNM(b=!gDreSNM$8ZOeJi~H&@k{!mucoUB&#B!}7sOc5_g8wX-5V-@BRv@>
zH|jsL;`cvE{p(0GD)rqbE=(a`f08O5Z@qABXCQ{Ypg@iC_o}$&!|O<Wp+~0<mMlqF
z<O^RXRGrY{BN@eNVm3W0^mBsZ&ewLonUp^{=%2$>3>Ms2tI)iw=7eV2YE1SX^JrmK
zfJGlrRE1_Zx-t*N5Her*AO0ti-sPb;X}ACvcEnHrIWZchWO{M^3^iU~4Sy)qa&Q0V
z;%*_`r5#t*%dnSHC!PRrcO+1F<bvO$@*X)yh5069$Ue+1EzXMLmu&mik9+IfWA8%5
zqvY&04J{ngnlMFf^2J83#0GauMPXt`v;%Ik#Y?V4i=a^h8KN<BOwPC{HzT3cNTGLq
zJ$RA5n1LS)TGZZ)+a%!>rN69UePXlORdT|Ogoy6n%(+)lrd5;h_*mj~m9+e=*!3BE
zr*Whx&S<%g`EN1qyOdKZwhsSPRa?0H&iFx%w8LYKS99L^K@;x6-h}wu_^Aan%D0v*
zHjb_1YR<M^Q)!jz+XeEhhJ#1QCgGcHJhJX@l0GOFAGNIUb+10JD^W20hIDeqXhOlc
z-{Ldp`vX<?!Sy{`TLzS0ojQ_&`_||o$oFZuX0G;CAOG%sHI{ff9xrgRq;z}qknj(q
zQFcB~(YJx;13|7wIVzudt`lnCXEOx!l8h(KDZeQCQcCT6;bTz$B!e?tAlBQTWp+Jj
z;^Xrvo>vRuSjS5tMYv|1I9r=7hxXQcM?V)=(hbe5Zf*N{owzHq<26qg{z<|SBPH6}
ze41+~5|STw;<@oYF7e}<1gx5l5yPf7pk|Nl#0^F80(E@dX>ZjDX>s}vt`AdU1^S*z
z>o<jn_&IN@*u2f9X*-RzJq(I^=*?;K!^c&#4wi}@H6{Fvw2k?5verPoI+r5TSrR)Q
zfx1TRo2+2Z?zD^b#8gb;*2$f3<9dFR$mFI~(I1-Q$tkdB-LYPw+S6LO1ax~mv5nm6
zQkm7VH<u$GxK5BVmv5wwl5$A8_2M6LJQ$ejInUi}&_6{Of^5g&@b~D+$w^c~!VeH+
z^k2S<*PGj0t66A!aFra8c7%U0-E>cwbozW|2^T~WdWu53v)=EQHle2yZg}a<GY|lk
zd}BBlkBCSb=u<b~^bq2atE(#{m|nz2MSWwgo)NRNE2;Cn>gb5}b=x#fkVPF7tnC;s
z1a23AhE3z4YEj+q#|@2*U0q%Fq>&*Z2GGePT8z67xRd{S)Hmwu)?{c;Jgb|Xy2ZwH
zwOob{JQHb+Br<za9{@-}K@#-)9v&VBz#MmWMp6tkxE~}4x^sZ$B|9st-M*lqAsIol
z1D%^-+k8o=IPl~_vl)8+(Z{{kvPPmU52$IBwUR`tFm&cmiD+#V1K~_wK>;YzZpC)_
z=jPG@e+T#BciBRH+p@Pd75ek1lCImrZ6MO0nD)0@aqE@TTsAsYU`0s=i3P8AG2aV@
zemYLeW&sG!7Lcj+u+$?;ywCNy9w-9(VQfIp%9>kKlhEESk&%%>T0CmT>E_9UFIOK`
zi2b(5ptY7sDrX;^@)I5Klt|UHE)SsPhXD={d!_13f-wGt88VFQpDHWk`uh5U+$UqO
zM(X`46n(4@BWzz4&uN8r2R$$nX}G9eFmHc*T@|CLE}0f8_OpJFFa@RjqfmefwNyaH
zutmufe$|@l&vNk+IUmB-yEOyDDA2-W!;l5kA~3Wi)lntmclzveedV+}H)|YoNAxIK
zliTP6*QxsxtZ}x5a-*g*Dx%oY?-)HtfBqhOe&NteZk`B06xeyaon^>B2?Z{58YwMp
zdfQnw&$v%<Tgjl^Zzr3b$tUAEwisVtliwol9&R&m_cTTk$-;l}%6R!wfQ52opz*tw
z!6RfhXCv&?YszquvYsxM{H4n1eJAt-H33e__WO4Egu(R;{F;i-bd7;?$n<4@PlQXh
z&>2}DQp1qW?3E#Amr^yJIA})V;?=;(A4UV>kga>)EA6fA(xtL+7OyGMmIbF0G`<To
z8*`qzTgt1ZYJBQmcud85MHOKib8zBdSv0*JXI3%cb};T#WfFhzr%z}i!QQ`GjqICQ
zX&%`poJCB?rS47u)3m+zH;(Dd3K}I<sL39$HL}P5q<idN)glbdeb1ghx6NqyM?Ldj
zzzOQs(xh%KP9Z@0uv(7e^IaE-pyxbsI7JHgez<2n_1h8r+X<!Gp9aR(6QxG>$Jxp=
zAAZK+G-C+JpK416otH1q$K$Tf?+FLeNeqebk8IBc;V^%6(od1@aUt5DsILEX(Ll~$
zNaZftrWw!Xqgegm=Ab!O#In71P4l?BY@Jwe4jpsU!TKMT1t%LC9d@9IxFyp+4~Yi7
z)~lEb#O8M=KmkCrG>VLoTh-wD=0+vPQF^3RJcC5JvZl4c44rK6?1#JGx*LOPoyQ1|
z2vzb(6ZxU$k~2@gY@hPVZt#?5MKrFQzQIVW<YYsM<KD7#^#u`?8`(2+)i>>}{YL(y
zW8tIty{Ug}!ykCUR$_T;VmqoX$$CRl@Jt^4qx0R{WNN#N3-1FM<hiX6<15+(Yu&1s
z-h@^W?ag54O|aVCKgY;!eZBhHyl`ogBr_l^hJ=9XUSEoC{z6qdR#;6I^AlBL;J~7w
zv9gSwReOlGe8KC6Q`GdyKl|YR>=WcUH@v{RR9~x-FO5;iuek%#j`7*u2W`Z>8ux56
z>J)*XnMiQ=&uyM>14U9p2~#+?uduv>jamgu<A>>0E1C_Z+a~!bxlQwJAF}gos>!8l
zpeFu5I=t<^1MyE!Vnq9cc4ilRSj)D{v)}xk(ROo1xvwZF9mC?!XXp{5r!g>_M)TyW
zqGxJ-sQ}Ds*1nZ0_A?G+m0zh}7Le6`WSZ8wCAzOnm1e{5KU$<@7-Z{$|3b;#pzq6x
z%hNaP=@d!WaR=)>41%0lPa-k5!>SVdE$S$RV;(G0CDzyx9S_X+&$U|Q%(<0n5q!Yk
z$<CT;uSh$x_cZWClwY6XNaNKhzbryh70_J$u$?;nJl@t!@!f5k?U}dw4W7GnK7Vxz
z1k_u67fCQ_A3zh17-bKU;632zrvG9#(MHXX`)>AB`UbDki#8aU(~G*NyeG)(nAmc`
z+~h8E5hwW=XxM=l8v~=~x4lD}AX0(Iz=|7DvbAZ-uWJ-?5_H$$sUT5r$b5UJIE*sg
zt7KZ<lyHaY(YMgr>#a6CHCM^}LAE;EJ564%k)Q~CCHwT4Gkj)slzG|`GB8M81NGYi
zQ|2)e``8Ro8ZHTE-aNUe!OUs=R<vMvvSunkJY0OUn#SeVJci2<|Ig3?+P~t(LT#O?
zqsZgBL5nN0V??2~^yW8HkLBMU&l?}ojPFmVO`i^wgx;T^jPh)j$<fPIGMO2}m`zNb
z4}bN5S+JTjyrT6nRQ6Kl`gixM50}dl?DBGHw1?vLyx;2<o5CR8BIu86_*r-~;g3^j
zkQ=Urd)@8`pW=hGYA!j#_9;1Dkn`GxerdbJ$rDQ}TNGDIXBW@PO`+Fg(ng6wZoejP
zk3^i)J;*pOV>@~*=GWk!o|$qU8)s+#K*Z#_ob{4FfPXcgho^a)QD0h@=1J$#Y9pXb
znQGKIo!IxIEQSxov{3<RQuM9{vShEX2No0D#v*(7h5jd3-&^-dwNRO)3uJMu-L?8A
zo*14J58B8FsD_=bAlqGfv1gZ7ryi~h<0>`{bApMIrL0Md+=4Ng`qz3Nsqhv@vTi?0
zKKOg_#9dT;_Rsoyjx4#0z{Lp_ZluVMsAxa^Z%8)JuTy-y&$$)l^b|ar(<hn}29}NQ
zGtCXMvHTh9zS&S^AcDmBBGmnF5`KY;Kv4H4F_$NXw1xbuQLU5XcVt#Stcbt)c<hq{
z1AF83)fj22&L{M5aegZ^=k6RR<>48bhhb^)5@!n*NLPm|SgJeB<~6HdZ#FdkMnVd8
zC1e9ybju|G#7{GPt`7*DO}=6h(!PmnKT3Yq$<;g)hw)8%6YEcRh?l6i%92n2`OUXm
zW&As*f{6uX{6O0Z)^mm*-Zv)h<qjiEqQ<6Vd8i??4i`Mx6DJnAG3SBt=Rp6&4l90i
z*jewMe%pEad(^c*#81fDNXT;<GvAd?l8}Te>o;jnav>K=iGQw6)!&bH^IZRF$%PqV
zEeWb5^X7PGEGmvK3)hBJH_;BQ>FtQ`Z}kCW%N#e~I~a28>nKFybFnhBV$2YW)H%p_
z9pUq3gLENMH}h%cAkN}umop&KG0Q<SPVL!7u0rHS(s4oWOMjOZVkT9jDU@@&?b5H`
zeT6-WcIHAJQV4}0`_)U@DSu&|r(KIyRq6<v_DtzaV)Z{^gw|YoWd(;Am7M&pr9$9c
zzoHcVUb4OQCA;~{z3-Nvt@+ZhkBHP>s@Up_Iwee{quOis6=LMC2<m@|Eol~{KKS$5
z$LHkNO;ofS&7vm@ci6OA>Q^ofT_UX#hv_>`P0Ja#dh@e9lSD5fFBPl@3Lo;%r2Qmp
zI(!@ETT`DduHW)5aQTK^5A$9J(XZ`78*QSAai3)l>q%W82Ktmzy1E^o4=0py5@dFK
zKNdhI7GbUJAXK`@k2}Cs;k2~&^O`BwQ>keXrNEvenT?fhn(V4kyn1*pLk3d6?v)fO
zs4~t&$hdv2zibMLr$wG^vq?N5m=_L?j;}C0O??DA#kMm<uTcQ5kcAx!OMTnNn;emQ
zhY_uTAJ6Jt{YE`(*0_@N$5~1)v+;Y2bnbqPlMFQ|XM7W%JYcHjkl?Y@F+$8NSn0;Y
zB^5fAo(I}oJKK8KwkXOE-WPlU1kP+L&3BhXSET#58*bmWJCFw%<K36JB5v44wIm!I
zpJ;6sxPSMmHa+WJdY@nSXKOF?bgzHT=)*`!eE>WrqwK@h#=~9g*i@sxrp5b_wj!@v
zs*v4|b-LfYJEdiaq^hJvYMS`emQHooGpImLpm){pE*dRg?mLPX=r?{a6fY%Z3I1m0
z{ypvTdTw3zL*oJEk-+!8Had|~&p({Op-a`5G|++FeyyiW5E{We!Boi2;bV!#CB-Ne
z8g3hV02v<ZEn-R|l#Bc}OPt`MA~(JJPs@-dA?=!e*;L-w>b;IQ(uk2yC5(HsM{kaZ
zc$kJRtgrRGMO^wmG(7X3Q3=lY23RW1M%cg0BDddY1=jN?l3?}1+w_LO0STeGO*fO_
z;appUrMJ6Pw3$Zud)up%1L3~;PvS=mJHtoG=y6xu!en|4ryDuqAI6AF8PNeAmTjuD
z|KvJ<t{yvAQsT6$xARgXJo;2ip+Rxd`0luNRsK5bab9v-gi2=rV*&3pE66Ab&6Nwn
z44peK&q~iLR#|;`7~G}Fj`Om*e<0XBP3ybI8<E<7B4%@G1TZF|&)2*(owtOIKaO$u
zXkh{W&|q(gOwNCIrIOa80%P&4hPwjGOao6v0U_14^$-#~rT#>2PkMFcsjA~8aIr)|
z%B7)E-t2E-D6TfvU2!iYlEgPKtF*dAA4UFbfrOjPQzq^ef+Y#*GHCM;Bxo#NSdX$S
zWj%`sR~G6baVJ_o-1<>SO|wgn#3zkeAn<eV+gDC?^~&m7ev^TdCZ;f6?NGTpKI2d_
zqg>_#ES^?b_YHcWnszsg)vaAHO&Edd&Z(ON-$%i7R!6~QfcG&DTP?{Nnmwz2D<IPd
zXz69m>j1$8XiF@Q;$LXaMqvV?kJcF4dp-A3z2nFbyQ?+xuwZU{@3n|UNeOM^hu>$0
z$L725j~NO}7FynX&I*)I%&k#W6@VPhXHoK64WFA_P)t>$?R+L$P4=0McyH|r$`}Q`
zq%wX42~)w0mRRGG@JGI)+S6aSonFsGwA<pgs5%X}%eWgcL*-juSCu;0qQU&H)2my^
zCCz2|^3>I_qylc@)2JB4uC+~E$UT;I?ViSMLQc8lfBtHrMlt^=?(+@7L(MTV`V})T
z@#@itnP-oGXJI@iyoY{l!r2<i$}OkUWY5c_Go{q-ur=YxNM>02E!T13l<4)cjC$Rz
z)CAO6T3@w;B6iyTwAHF8B~3VP+Y>hq*4jEL+GZ4A4=o4&?ld-DbD3)pblbk0z<qbM
z*VlDEAdy1U!z0$8S;Fz*rl`N?=I|YE+dzdBk|yup3^kW7!MvS(XUfWZ=es_s$Ni;j
zzh0QlU(NJ0N<0DASq+cvt_a1SpFgb+$DjQO&mK>ElbXX@jMEp4&=B~W;UoA}N)iYy
z92oeS+oMTP-L?XT-`r*(jgTwYrcyHxl!{-!>f<JM3^@=YySur)M$CA&ErJ|c)}8pl
zRWjyS7`h?_lFd?e62ghfTj1bm)ZHa)?g804NJGRTY#V=KR(!byD$zEe>Q4^G^}2d`
zfHfy)UiAI?pJ5yw(CDDhAv{RMz`y`aI|%DupIa)on>@=LEHND*uXEaX=ZZ0b4HF?H
zEv@GY3Rp0mV!7Vcgs(xq;&nWm>q0M|BUvaRvICO#H-Eb5<kEz7wv|{CK=hLW>QRRd
z0<|w>-M0@wG6xcv)|=RZpIzvQdfTu?dL0LZq(P-Rm9C8gYW>B=<GCfE##IFHUFjGH
z2R>xbulHy720R$D(3;b$l*%-B@#^nicd8>C_PWh{;5zxS;s>FOvolw1Z7p~;^5G_q
zzrNi7Z5WtW)C4|Y<b3&p3i8L?W)@DXRhR84$!eR~z5RV<_)$hxRovE=)xCT7MzA_&
zxqip0hRPw{hr&Yy^-Rf<OvsMGNJA3<S~NSbF@T>e81Jm(cze1NTjW9%L~<Y`vmm_8
z<4y|i2qlXB_^|^)eSqDKtn<aom#5p+^Cgp3Gfu<uAW)F+kVzT?GU7YP?(TCKp#p3?
zmF=vyo$rqz6F?}-2RCQ0)4V}arRQ}>0K-&-iX6;;tNu%t<3+|jam+CB`UoZl?$F}~
zcqehJdJ6C)HHTwbiYGdta^yh_*nk_D@jl-Mf$>*j^PZnuS`T4c8m`VZwcqS_TwELs
zT%0ULMi_#Ms{xdjh%170{{Tb`Ux>|zPr(*8QDaY~Q|F`)q5)9*3q-7}tqteBq(c~s
z_?>^Fb<Rw}K=yR2d;rWozb=pGP2p+jNJSi$QFlQ&`8<xP#fT#h-+0&qbdL;-j8vec
zAOhyZ|G4tase@{PdJ7OFvQADFJ&N{1c%VmZ_|we@L_-QFBFoJNA9a>4E*c>8c4tT1
zp}<=~u&S{S#br*?MS(5qXQic@P3;OH2&a2MXuQK)WjW3Qn)x1>Z6>hkBZF!SKAlqz
zYD!wUgm3GEnTUZF2v#Eud1mZxg5&M=@{edRhyDHyQ?QDS0-gFeXd~=l0}v9uu_B#K
zUX$`k1f4}C9kHAd%JPD}I|pV>GV<~(^Ve5AV0@#1SF^ml%p1X~Q}+RETizG@(x6oS
zB)Lfikpl0M!(mxwr|H}V-t!u7&VMu-PjiPCR#u!}Sjr_+^a=aEQc>Yk^+vgM3lt_~
zov;>A3*P)TKi@q0hJ!1q?-mLQG7M}b<mLNhMGnC638u~oEAlTeqmN(-1zieQ_Q*P$
zuFfpMNC!G=QX!8IaL_ATtvFEpZWO9+s<W-Htp&Bbwj-Sfd1Q)!>nb=FjX*HFHC?S(
zsFWlJrv(fcqHX7Jw+KT}==ui)l)~<VosJ1@8QJ^@jT&^R@FtMJX0&&F>`ID(hL)a@
zp?|#u`@$RZzW!i;AH>)C1DoK3fuly+i7%<Y+M5Vlo9gkKp;FAs0mP*EgoMa<XYc!L
zUvnqQfiP_!#>3_C#vpWyR1@UC&(BjxDt{@mnJ8}nWe)glI`?75#ST6;e%Boku2X{m
zS($N!7LS~K=fqV<S2v=#xOiz|XSN>P8f%a`mLYJB_7^)W0wyy!&&?Y^NG^D~9Q*h8
zXeg-B$=#Q65f&h@xq=F4v9yys6QrUr-wzVlsqq8x{?qNKfk{P?%k~V((BRNeDk>^J
zH9fD7U|dTBt@EeTgS7+D3b28F4*BNI`+{yIOD|Ido<k^9j_YRXHG3oc9z1hyegPOn
z4sCaNc*oA+A=%yk7zv*)<4I%mrSv89#rF2fy?gf#GBzlNgb?yR5J#p`_*_K8ksi!d
zq(Io;EQ=eZKqfzmb()N@*q9GdLrOxJPGPc`3F!;83veEK+TY{BD%jve0~x66u|ZQQ
z?m}0Fwd@4(hwu)-o6fPFZvrdU!sh045Z1#nFVL!v2xX}YMp!(zm6CcPDk1wDg6<FT
z&OsXpeyC1xq5c4YtwHIpg@u+;HN9D@kb00wM}lD~77WGUZk2uZ>=8fzRH@sL8D~sf
zoK&%H<EM^<w|yptU|R*NBf`7_24b+EViL0<g-f-8i-?|{{#OWNkr{WkJm}CTOZ0Do
zXd(ml4Z;u`{1AwjtgA~tU1d!LUIGw#Rs?&zmWK%+q7+64_#-kf>Hk$9qi;R>bQf$&
zUsdu?Adiu~tPa3gi#%79#9d5)qX;tg69}>QAtC%riPEqZ2*7(}Wb&XmejDgaFkNli
z+0zpW!_>v??LLSizBeaq_V)H*H&6!6GwjztKD^<tDvS<}j(K@`Ez{FUuwmuk>$<qO
zkdc#f>b;mMHN3O3vI3>%C6q$2B%q?Ae$L2v2PY78zx~rf_c9p3%-tsiwrlXwn$9<Q
znKtCbj9MU4I1-a)MX)r5*9SzLL!f|G8*~W>CjyghLjvSLfuj@{aU+b32=6ySZT|PK
z6C#&^HvXhj<f;W6!icmgAdm!w3nupNe+Q*c*E1tYJzYST3(9?ea2{g|?jeEY8^q<>
zfLR~Jh)R?@)?E%XgRA+^!NGkHEJNBrf*=ApMR%%@CoiOLgwh_^UvR2|gX#LlUE>#V
zEIQqwWM87c`~&7^kZvsS27%EDH2YwmMhM{2$2a+$)^QRO6M-uS*KY@z>rBg3r6tIK
z2|-DW{29zN4QIde!$`P7yv~pISCed0cc-Z&Vx!q{2Dbpcbhcd<gU7A|YJz)fQ5aZ9
zjX}bS@ZUg0zW9%dmF`2=+dyXD>ocJgg`iQ3+az`UAlnVe_*v&{35t1>@<haW`u0r}
z;okv!?rS!L9Iq9*dI^Kfv_IKhb=F3#23huD#w3Ve5QhQW46sy5P0cB^PS2yQE&>n>
zh#@QE-%jfL4zjz+W*-q0KVO7v01V=g2D-tY4pRqE6c8XvCKF`+z9b&J2M?aBsuE%l
zu^4s5(13j#Uy?6fJ$KXsJhr7i*WQpfgTun8!KVd}767$sPMPKuQuzw(q&1<jlSI!W
z#zDz)kiM&f+Ykf>0Mp@2Db$vZ%){1&fCd7h2_z0VYQ?%xZV-lG2*Da~TJ9eoBRskI
z`1lC@!7y0L5#}(!8yhpVPav&>G(8q{OrM|n{WRkQO;8yK{tz<r40?o;51z8jxQ8BO
zfsg`Vj1UtY-BLav+ygkxt2-_hhv@AG4&2sR_&tP4+@X(a+-@z!^($F~SuM3M>Vge8
zk{Oto;K7PCta6!V;{N^n3LW?XIAYqoU=aRae{|u3!u-!ivoWqHEchD{NV1X&5=COK
G-~AuSU2%y3

diff --git a/v2.1.0/_sources/examples/1_basics/1_quadratic_function.rst.txt b/v2.1.0/_sources/examples/1_basics/1_quadratic_function.rst.txt
index 6cfebb40b..be238ad32 100644
--- a/v2.1.0/_sources/examples/1_basics/1_quadratic_function.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/1_quadratic_function.rst.txt
@@ -165,7 +165,7 @@ be applied to problems with large evaluation budgets (up to 1000 evaluations).
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 4.234 seconds)
+   **Total running time of the script:** (0 minutes 4.262 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_1_quadratic_function.py:
diff --git a/v2.1.0/_sources/examples/1_basics/2_svm_cv.rst.txt b/v2.1.0/_sources/examples/1_basics/2_svm_cv.rst.txt
index 4e8f6447d..e3d52d962 100644
--- a/v2.1.0/_sources/examples/1_basics/2_svm_cv.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/2_svm_cv.rst.txt
@@ -1331,7 +1331,7 @@ types as well as conditional hyperparameters.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.520 seconds)
+   **Total running time of the script:** (0 minutes 1.514 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_2_svm_cv.py:
diff --git a/v2.1.0/_sources/examples/1_basics/3_ask_and_tell.rst.txt b/v2.1.0/_sources/examples/1_basics/3_ask_and_tell.rst.txt
index 00c53d234..e3f3472d1 100644
--- a/v2.1.0/_sources/examples/1_basics/3_ask_and_tell.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/3_ask_and_tell.rst.txt
@@ -141,7 +141,7 @@ This examples show how to use the Ask-and-Tell interface.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 3.931 seconds)
+   **Total running time of the script:** (0 minutes 3.933 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_3_ask_and_tell.py:
diff --git a/v2.1.0/_sources/examples/1_basics/4_callback.rst.txt b/v2.1.0/_sources/examples/1_basics/4_callback.rst.txt
index c0634edb2..0f5fa405e 100644
--- a/v2.1.0/_sources/examples/1_basics/4_callback.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/4_callback.rst.txt
@@ -146,7 +146,7 @@ Furthermore, we print some stages of the optimization process.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.149 seconds)
+   **Total running time of the script:** (0 minutes 0.145 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_4_callback.py:
diff --git a/v2.1.0/_sources/examples/1_basics/5_continue.rst.txt b/v2.1.0/_sources/examples/1_basics/5_continue.rst.txt
index 668638b7b..3a6f758d3 100644
--- a/v2.1.0/_sources/examples/1_basics/5_continue.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/5_continue.rst.txt
@@ -170,7 +170,7 @@ there already is a previous run with the same meta data, this run will be contin
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 1.582 seconds)
+   **Total running time of the script:** (0 minutes 1.503 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_5_continue.py:
diff --git a/v2.1.0/_sources/examples/1_basics/6_priors.rst.txt b/v2.1.0/_sources/examples/1_basics/6_priors.rst.txt
index 47603fbf7..a61a47631 100644
--- a/v2.1.0/_sources/examples/1_basics/6_priors.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/6_priors.rst.txt
@@ -223,7 +223,7 @@ optimization, you have to change the acquisition function to ``PriorAcquisitionF
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 22.196 seconds)
+   **Total running time of the script:** (0 minutes 21.926 seconds)
 
 
 .. _sphx_glr_download_examples_1_basics_6_priors.py:
diff --git a/v2.1.0/_sources/examples/1_basics/sg_execution_times.rst.txt b/v2.1.0/_sources/examples/1_basics/sg_execution_times.rst.txt
index 15ec6de30..4570ad35f 100644
--- a/v2.1.0/_sources/examples/1_basics/sg_execution_times.rst.txt
+++ b/v2.1.0/_sources/examples/1_basics/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:33.612** total execution time for 6 files **from examples/1_basics**:
+**00:33.283** total execution time for 6 files **from examples/1_basics**:
 
 .. container::
 
@@ -33,20 +33,20 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``6_priors.py``)
-     - 00:22.196
+     - 00:21.926
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``1_quadratic_function.py``)
-     - 00:04.234
+     - 00:04.262
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``3_ask_and_tell.py``)
-     - 00:03.931
-     - 0.0
-   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``)
-     - 00:01.582
+     - 00:03.933
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``2_svm_cv.py``)
-     - 00:01.520
+     - 00:01.514
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``5_continue.py``)
+     - 00:01.503
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``4_callback.py``)
-     - 00:00.149
+     - 00:00.145
      - 0.0
diff --git a/v2.1.0/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt b/v2.1.0/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
index 2171a99c1..0ed955ba2 100644
--- a/v2.1.0/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
+++ b/v2.1.0/_sources/examples/2_multi_fidelity/1_mlp_epochs.rst.txt
@@ -68,24 +68,23 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
     [INFO][smbo.py:319] Finished 0 trials.
     [INFO][abstract_intensifier.py:515] Added config 598f3b as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 598f3b as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][abstract_intensifier.py:594] Added config 91ea8c and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 2b67dd and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][smbo.py:319] Finished 150 trials.
+    [INFO][abstract_intensifier.py:594] Added config 59eb1b and rejected config 2b67dd as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 150 trials.
     [INFO][smbo.py:319] Finished 150 trials.
+    [INFO][abstract_intensifier.py:594] Added config ac4b99 and rejected config 59eb1b as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.023777008056640625
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.31127119064331055
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 279
+    [INFO][smbo.py:330] --- Remaining trials: 298
     Default cost (SuccessiveHalving): 0.36672856700711853
-    Incumbent cost (SuccessiveHalving): 0.01892602909315999
+    Incumbent cost (SuccessiveHalving): 0.017254719900959392
     [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
     [INFO][abstract_facade.py:203] Workers are reduced to 8.
     /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
     Perhaps you already have a cluster running?
-    Hosting the HTTP server on port 44981 instead
+    Hosting the HTTP server on port 41439 instead
       warnings.warn(
     [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
     [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -108,17 +107,18 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
     [INFO][abstract_intensifier.py:515] Added config 16c6ab as new incumbent because there are no incumbents yet.
     [INFO][abstract_intensifier.py:594] Added config 1d30ce and rejected config 16c6ab as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 1d30ce as incumbent because it is not better than the incumbents on 1 instances:
-    [INFO][smbo.py:319] Finished 50 trials.
-    [INFO][abstract_intensifier.py:594] Added config 9d0513 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 87d6f4 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 815e1c and rejected config 87d6f4 as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:319] Finished 100 trials.
-    [INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 9d0513 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 815e1c as incumbent because it is not better than the incumbents on 1 instances:
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -5.0368266105651855
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.3012995719909668
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 373
-    [INFO][abstract_intensifier.py:594] Added config 5097d0 and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][smbo.py:330] --- Remaining trials: 377
+    [INFO][abstract_intensifier.py:594] Added config f6167b and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+    [INFO][abstract_intensifier.py:594] Added config 87ec5b and rejected config f6167b as incumbent because it is not better than the incumbents on 1 instances:
     Default cost (Hyperband): 0.36672856700711853
-    Incumbent cost (Hyperband): 0.02225936242649329
+    Incumbent cost (Hyperband): 0.01725007737542561
 
 
 
@@ -297,7 +297,7 @@ is chosen to optimize the average accuracy on 5-fold cross validation.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (2 minutes 54.536 seconds)
+   **Total running time of the script:** (2 minutes 58.740 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_1_mlp_epochs.py:
diff --git a/v2.1.0/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt b/v2.1.0/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
index b1f141d5d..a84a270c6 100644
--- a/v2.1.0/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
+++ b/v2.1.0/_sources/examples/2_multi_fidelity/2_sgd_datasets.rst.txt
@@ -67,9 +67,9 @@ the target function now is required to have an instance argument.
     [INFO][smbo.py:319] Finished 400 trials.
     [INFO][smbo.py:319] Finished 450 trials.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.01360011100769043
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.06808114051818848
     [INFO][smbo.py:329] --- Remaining cpu time: inf
-    [INFO][smbo.py:330] --- Remaining trials: 4521
+    [INFO][smbo.py:330] --- Remaining trials: 4529
     Default cost: 0.15489347419148672
     Incumbent cost: 0.006249006102246613
 
@@ -211,7 +211,7 @@ the target function now is required to have an instance argument.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 34.175 seconds)
+   **Total running time of the script:** (0 minutes 34.329 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_2_sgd_datasets.py:
diff --git a/v2.1.0/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt b/v2.1.0/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt
index 7b4b86cc3..e36dd63b8 100644
--- a/v2.1.0/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt
+++ b/v2.1.0/_sources/examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst.txt
@@ -209,7 +209,7 @@ in terms of the fidelity units and let SMAC calculate how many trials that would
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 7.958 seconds)
+   **Total running time of the script:** (0 minutes 8.210 seconds)
 
 
 .. _sphx_glr_download_examples_2_multi_fidelity_3_specify_HB_via_total_budget.py:
diff --git a/v2.1.0/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt b/v2.1.0/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
index b7c45c4ba..6c445cc1a 100644
--- a/v2.1.0/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
+++ b/v2.1.0/_sources/examples/2_multi_fidelity/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**03:36.669** total execution time for 3 files **from examples/2_multi_fidelity**:
+**03:41.279** total execution time for 3 files **from examples/2_multi_fidelity**:
 
 .. container::
 
@@ -33,11 +33,11 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``1_mlp_epochs.py``)
-     - 02:54.536
+     - 02:58.740
      - 0.0
    * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``2_sgd_datasets.py``)
-     - 00:34.175
+     - 00:34.329
      - 0.0
    * - :ref:`sphx_glr_examples_2_multi_fidelity_3_specify_HB_via_total_budget.py` (``3_specify_HB_via_total_budget.py``)
-     - 00:07.958
+     - 00:08.210
      - 0.0
diff --git a/v2.1.0/_sources/examples/3_multi_objective/1_schaffer.rst.txt b/v2.1.0/_sources/examples/3_multi_objective/1_schaffer.rst.txt
index 0436515b5..50f60d9c8 100644
--- a/v2.1.0/_sources/examples/3_multi_objective/1_schaffer.rst.txt
+++ b/v2.1.0/_sources/examples/3_multi_objective/1_schaffer.rst.txt
@@ -464,7 +464,7 @@ SMAC prioritizes the second objective over the first one.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 8.572 seconds)
+   **Total running time of the script:** (0 minutes 8.876 seconds)
 
 
 .. _sphx_glr_download_examples_3_multi_objective_1_schaffer.py:
diff --git a/v2.1.0/_sources/examples/3_multi_objective/2_parego.rst.txt b/v2.1.0/_sources/examples/3_multi_objective/2_parego.rst.txt
index dcfbd134c..b2761b860 100644
--- a/v2.1.0/_sources/examples/3_multi_objective/2_parego.rst.txt
+++ b/v2.1.0/_sources/examples/3_multi_objective/2_parego.rst.txt
@@ -48,25 +48,26 @@ mean accuracy and run-time of each configuration.
     [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
     [INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
     [INFO][abstract_intensifier.py:594] Added config 3b5efd and rejected config 540db2 as incumbent because it is not better than the incumbents on 2 instances:
-    [INFO][abstract_intensifier.py:602] Config 3dbce7 is a new incumbent. Total number of incumbents: 3.
-    [INFO][abstract_intensifier.py:594] Added config 86457c and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
-    [INFO][abstract_intensifier.py:602] Config b636c9 is a new incumbent. Total number of incumbents: 4.
-    [INFO][abstract_intensifier.py:602] Config e9336a is a new incumbent. Total number of incumbents: 5.
-    [INFO][abstract_intensifier.py:602] Config 257bf2 is a new incumbent. Total number of incumbents: 6.
+    [INFO][abstract_intensifier.py:602] Config 3b05b0 is a new incumbent. Total number of incumbents: 4.
+    [INFO][abstract_intensifier.py:602] Config 76a0b6 is a new incumbent. Total number of incumbents: 5.
+    [INFO][abstract_intensifier.py:594] Added config 14180c and rejected config 0c9159 as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:602] Config 2a16be is a new incumbent. Total number of incumbents: 6.
+    [INFO][abstract_intensifier.py:594] Added config 9040f2 and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
+    [INFO][abstract_intensifier.py:602] Config 733044 is a new incumbent. Total number of incumbents: 6.
     [INFO][smbo.py:327] Configuration budget is exhausted:
-    [INFO][smbo.py:328] --- Remaining wallclock time: -0.22296595573425293
+    [INFO][smbo.py:328] --- Remaining wallclock time: -0.04070615768432617
     [INFO][smbo.py:329] --- Remaining cpu time: inf
     [INFO][smbo.py:330] --- Remaining trials: 156
     Validated costs from default config: 
-    --- [0.60155834 0.15696132]
+    --- [0.60155834 0.16190255]
 
     Validated costs from the Pareto front (incumbents):
-    --- [0.03534045 0.56337726]
-    --- [0.16305014 0.28335488]
-    --- [0.38509904 0.16536093]
-    --- [0.17502786 0.2682035 ]
-    --- [0.45798979 0.16660476]
-    --- [0.08681291 0.29409325]
+    --- [0.03561281 0.63894427]
+    --- [0.03115986 0.69596028]
+    --- [0.03450325 0.64041424]
+    --- [0.12157768 0.27278602]
+    --- [0.5458844  0.21992087]
+    --- [0.377565   0.25858188]
 
 
 
@@ -247,7 +248,7 @@ mean accuracy and run-time of each configuration.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 34.155 seconds)
+   **Total running time of the script:** (0 minutes 35.958 seconds)
 
 
 .. _sphx_glr_download_examples_3_multi_objective_2_parego.py:
diff --git a/v2.1.0/_sources/examples/3_multi_objective/sg_execution_times.rst.txt b/v2.1.0/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
index 24e224941..0813d2402 100644
--- a/v2.1.0/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
+++ b/v2.1.0/_sources/examples/3_multi_objective/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:42.727** total execution time for 2 files **from examples/3_multi_objective**:
+**00:44.834** total execution time for 2 files **from examples/3_multi_objective**:
 
 .. container::
 
@@ -33,8 +33,8 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``2_parego.py``)
-     - 00:34.155
+     - 00:35.958
      - 0.0
    * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``1_schaffer.py``)
-     - 00:08.572
+     - 00:08.876
      - 0.0
diff --git a/v2.1.0/_sources/examples/5_commandline/1_call_target_function_script.rst.txt b/v2.1.0/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
index b06b27236..1e8400004 100644
--- a/v2.1.0/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
+++ b/v2.1.0/_sources/examples/5_commandline/1_call_target_function_script.rst.txt
@@ -112,7 +112,7 @@ This simple example shows how to call a script with the following content:
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 19.417 seconds)
+   **Total running time of the script:** (0 minutes 19.866 seconds)
 
 
 .. _sphx_glr_download_examples_5_commandline_1_call_target_function_script.py:
diff --git a/v2.1.0/_sources/examples/5_commandline/sg_execution_times.rst.txt b/v2.1.0/_sources/examples/5_commandline/sg_execution_times.rst.txt
index 99aeabba5..87a3d7311 100644
--- a/v2.1.0/_sources/examples/5_commandline/sg_execution_times.rst.txt
+++ b/v2.1.0/_sources/examples/5_commandline/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**00:19.417** total execution time for 1 file **from examples/5_commandline**:
+**00:19.866** total execution time for 1 file **from examples/5_commandline**:
 
 .. container::
 
@@ -33,5 +33,5 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``1_call_target_function_script.py``)
-     - 00:19.417
+     - 00:19.866
      - 0.0
diff --git a/v2.1.0/_sources/sg_execution_times.rst.txt b/v2.1.0/_sources/sg_execution_times.rst.txt
index e0db08935..d3116495d 100644
--- a/v2.1.0/_sources/sg_execution_times.rst.txt
+++ b/v2.1.0/_sources/sg_execution_times.rst.txt
@@ -6,7 +6,7 @@
 
 Computation times
 =================
-**05:12.425** total execution time for 12 files **from all galleries**:
+**05:19.262** total execution time for 12 files **from all galleries**:
 
 .. container::
 
@@ -33,38 +33,38 @@ Computation times
      - Time
      - Mem (MB)
    * - :ref:`sphx_glr_examples_2_multi_fidelity_1_mlp_epochs.py` (``../examples/2_multi_fidelity/1_mlp_epochs.py``)
-     - 02:54.536
-     - 0.0
-   * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``../examples/2_multi_fidelity/2_sgd_datasets.py``)
-     - 00:34.175
+     - 02:58.740
      - 0.0
    * - :ref:`sphx_glr_examples_3_multi_objective_2_parego.py` (``../examples/3_multi_objective/2_parego.py``)
-     - 00:34.155
+     - 00:35.958
+     - 0.0
+   * - :ref:`sphx_glr_examples_2_multi_fidelity_2_sgd_datasets.py` (``../examples/2_multi_fidelity/2_sgd_datasets.py``)
+     - 00:34.329
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_6_priors.py` (``../examples/1_basics/6_priors.py``)
-     - 00:22.196
+     - 00:21.926
      - 0.0
    * - :ref:`sphx_glr_examples_5_commandline_1_call_target_function_script.py` (``../examples/5_commandline/1_call_target_function_script.py``)
-     - 00:19.417
+     - 00:19.866
      - 0.0
    * - :ref:`sphx_glr_examples_3_multi_objective_1_schaffer.py` (``../examples/3_multi_objective/1_schaffer.py``)
-     - 00:08.572
+     - 00:08.876
      - 0.0
    * - :ref:`sphx_glr_examples_2_multi_fidelity_3_specify_HB_via_total_budget.py` (``../examples/2_multi_fidelity/3_specify_HB_via_total_budget.py``)
-     - 00:07.958
+     - 00:08.210
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_1_quadratic_function.py` (``../examples/1_basics/1_quadratic_function.py``)
-     - 00:04.234
+     - 00:04.262
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_3_ask_and_tell.py` (``../examples/1_basics/3_ask_and_tell.py``)
-     - 00:03.931
-     - 0.0
-   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``../examples/1_basics/5_continue.py``)
-     - 00:01.582
+     - 00:03.933
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_2_svm_cv.py` (``../examples/1_basics/2_svm_cv.py``)
-     - 00:01.520
+     - 00:01.514
+     - 0.0
+   * - :ref:`sphx_glr_examples_1_basics_5_continue.py` (``../examples/1_basics/5_continue.py``)
+     - 00:01.503
      - 0.0
    * - :ref:`sphx_glr_examples_1_basics_4_callback.py` (``../examples/1_basics/4_callback.py``)
-     - 00:00.149
+     - 00:00.145
      - 0.0
diff --git a/v2.1.0/examples/1_basics/1_quadratic_function.html b/v2.1.0/examples/1_basics/1_quadratic_function.html
index 49d4f716b..2329e20ab 100644
--- a/v2.1.0/examples/1_basics/1_quadratic_function.html
+++ b/v2.1.0/examples/1_basics/1_quadratic_function.html
@@ -1156,7 +1156,7 @@
     <span class="n">plot</span><span class="p">(</span><span class="n">smac</span><span class="o">.</span><span class="n">runhistory</span><span class="p">,</span> <span class="n">incumbent</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.234 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 4.262 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-1-quadratic-function-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/1_quadratic_function.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/1_basics/2_svm_cv.html b/v2.1.0/examples/1_basics/2_svm_cv.html
index 50203c382..d74fdef37 100644
--- a/v2.1.0/examples/1_basics/2_svm_cv.html
+++ b/v2.1.0/examples/1_basics/2_svm_cv.html
@@ -2328,7 +2328,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.520 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.514 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-2-svm-cv-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/2_svm_cv.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/1_basics/3_ask_and_tell.html b/v2.1.0/examples/1_basics/3_ask_and_tell.html
index 7f460b434..f84949136 100644
--- a/v2.1.0/examples/1_basics/3_ask_and_tell.html
+++ b/v2.1.0/examples/1_basics/3_ask_and_tell.html
@@ -1138,7 +1138,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.931 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 3.933 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-3-ask-and-tell-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/3_ask_and_tell.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/1_basics/4_callback.html b/v2.1.0/examples/1_basics/4_callback.html
index 33c5ef44e..ee5eeb4b8 100644
--- a/v2.1.0/examples/1_basics/4_callback.html
+++ b/v2.1.0/examples/1_basics/4_callback.html
@@ -1143,7 +1143,7 @@
     <span class="p">)</span><span class="o">.</span><span class="n">optimize</span><span class="p">()</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.149 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 0.145 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-4-callback-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/4_callback.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/1_basics/5_continue.html b/v2.1.0/examples/1_basics/5_continue.html
index 8e9aa65c2..19c3345c8 100644
--- a/v2.1.0/examples/1_basics/5_continue.html
+++ b/v2.1.0/examples/1_basics/5_continue.html
@@ -1165,7 +1165,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost of continued run: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.582 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 1.503 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-5-continue-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/5_continue.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/1_basics/6_priors.html b/v2.1.0/examples/1_basics/6_priors.html
index 093799f6f..708a8e1d7 100644
--- a/v2.1.0/examples/1_basics/6_priors.html
+++ b/v2.1.0/examples/1_basics/6_priors.html
@@ -1220,7 +1220,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Default cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 22.196 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 21.926 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-1-basics-6-priors-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/1_basics/6_priors.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/1_basics/sg_execution_times.html b/v2.1.0/examples/1_basics/sg_execution_times.html
index fef771623..3b7d1634b 100644
--- a/v2.1.0/examples/1_basics/sg_execution_times.html
+++ b/v2.1.0/examples/1_basics/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-1-basics-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:33.612</strong> total execution time for 6 files <strong>from examples/1_basics</strong>:</p>
+<p><strong>00:33.283</strong> total execution time for 6 files <strong>from examples/1_basics</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,27 +1051,27 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="6_priors.html#sphx-glr-examples-1-basics-6-priors-py"><span class="std std-ref">User Priors over the Optimum</span></a> (<code class="docutils literal notranslate"><span class="pre">6_priors.py</span></code>)</p></td>
-<td><p>00:22.196</p></td>
+<td><p>00:21.926</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="1_quadratic_function.html#sphx-glr-examples-1-basics-1-quadratic-function-py"><span class="std std-ref">Quadratic Function</span></a> (<code class="docutils literal notranslate"><span class="pre">1_quadratic_function.py</span></code>)</p></td>
-<td><p>00:04.234</p></td>
+<td><p>00:04.262</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="3_ask_and_tell.html#sphx-glr-examples-1-basics-3-ask-and-tell-py"><span class="std std-ref">Ask-and-Tell</span></a> (<code class="docutils literal notranslate"><span class="pre">3_ask_and_tell.py</span></code>)</p></td>
-<td><p>00:03.931</p></td>
+<td><p>00:03.933</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">5_continue.py</span></code>)</p></td>
-<td><p>00:01.582</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">2_svm_cv.py</span></code>)</p></td>
+<td><p>00:01.514</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">2_svm_cv.py</span></code>)</p></td>
-<td><p>00:01.520</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">5_continue.py</span></code>)</p></td>
+<td><p>00:01.503</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="4_callback.html#sphx-glr-examples-1-basics-4-callback-py"><span class="std std-ref">Custom Callback</span></a> (<code class="docutils literal notranslate"><span class="pre">4_callback.py</span></code>)</p></td>
-<td><p>00:00.149</p></td>
+<td><p>00:00.145</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/v2.1.0/examples/2_multi_fidelity/1_mlp_epochs.html b/v2.1.0/examples/2_multi_fidelity/1_mlp_epochs.html
index 4d1a29c6c..869705d5d 100644
--- a/v2.1.0/examples/2_multi_fidelity/1_mlp_epochs.html
+++ b/v2.1.0/examples/2_multi_fidelity/1_mlp_epochs.html
@@ -1067,24 +1067,23 @@
 [INFO][smbo.py:319] Finished 0 trials.
 [INFO][abstract_intensifier.py:515] Added config 598f3b as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 598f3b as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][abstract_intensifier.py:594] Added config 91ea8c and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 2b67dd and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 100 trials.
-[INFO][smbo.py:319] Finished 100 trials.
-[INFO][smbo.py:319] Finished 100 trials.
-[INFO][smbo.py:319] Finished 150 trials.
+[INFO][abstract_intensifier.py:594] Added config 59eb1b and rejected config 2b67dd as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 150 trials.
 [INFO][smbo.py:319] Finished 150 trials.
+[INFO][abstract_intensifier.py:594] Added config ac4b99 and rejected config 59eb1b as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.023777008056640625
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.31127119064331055
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 279
+[INFO][smbo.py:330] --- Remaining trials: 298
 Default cost (SuccessiveHalving): 0.36672856700711853
-Incumbent cost (SuccessiveHalving): 0.01892602909315999
+Incumbent cost (SuccessiveHalving): 0.017254719900959392
 [INFO][abstract_initial_design.py:82] Using `n_configs` and ignoring `n_configs_per_hyperparameter`.
 [INFO][abstract_facade.py:203] Workers are reduced to 8.
 /opt/hostedtoolcache/Python/3.10.14/x64/lib/python3.10/site-packages/distributed/node.py:182: UserWarning: Port 8787 is already in use.
 Perhaps you already have a cluster running?
-Hosting the HTTP server on port 44981 instead
+Hosting the HTTP server on port 41439 instead
   warnings.warn(
 [INFO][abstract_initial_design.py:147] Using 5 initial design configurations and 0 additional configurations.
 [INFO][successive_halving.py:164] Successive Halving uses budget type BUDGETS with eta 3, min budget 1, and max budget 25.
@@ -1107,17 +1106,18 @@
 [INFO][abstract_intensifier.py:515] Added config 16c6ab as new incumbent because there are no incumbents yet.
 [INFO][abstract_intensifier.py:594] Added config 1d30ce and rejected config 16c6ab as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][abstract_intensifier.py:594] Added config 938c0d and rejected config 1d30ce as incumbent because it is not better than the incumbents on 1 instances:
-[INFO][smbo.py:319] Finished 50 trials.
-[INFO][abstract_intensifier.py:594] Added config 9d0513 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 87d6f4 and rejected config 938c0d as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 815e1c and rejected config 87d6f4 as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:319] Finished 100 trials.
-[INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 9d0513 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config b61b81 and rejected config 815e1c as incumbent because it is not better than the incumbents on 1 instances:
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -5.0368266105651855
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.3012995719909668
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 373
-[INFO][abstract_intensifier.py:594] Added config 5097d0 and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][smbo.py:330] --- Remaining trials: 377
+[INFO][abstract_intensifier.py:594] Added config f6167b and rejected config b61b81 as incumbent because it is not better than the incumbents on 1 instances:
+[INFO][abstract_intensifier.py:594] Added config 87ec5b and rejected config f6167b as incumbent because it is not better than the incumbents on 1 instances:
 Default cost (Hyperband): 0.36672856700711853
-Incumbent cost (Hyperband): 0.02225936242649329
+Incumbent cost (Hyperband): 0.01725007737542561
 </pre></div>
 </div>
 <div class="line-block">
@@ -1288,7 +1288,7 @@
     <span class="n">plot_trajectory</span><span class="p">(</span><span class="n">facades</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 54.536 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (2 minutes 58.740 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-2-multi-fidelity-1-mlp-epochs-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/2_multi_fidelity/1_mlp_epochs.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo1.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/2_multi_fidelity/2_sgd_datasets.html b/v2.1.0/examples/2_multi_fidelity/2_sgd_datasets.html
index 81fcd5d2a..1eaf6c274 100644
--- a/v2.1.0/examples/2_multi_fidelity/2_sgd_datasets.html
+++ b/v2.1.0/examples/2_multi_fidelity/2_sgd_datasets.html
@@ -1070,9 +1070,9 @@
 [INFO][smbo.py:319] Finished 400 trials.
 [INFO][smbo.py:319] Finished 450 trials.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.01360011100769043
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.06808114051818848
 [INFO][smbo.py:329] --- Remaining cpu time: inf
-[INFO][smbo.py:330] --- Remaining trials: 4521
+[INFO][smbo.py:330] --- Remaining trials: 4529
 Default cost: 0.15489347419148672
 Incumbent cost: 0.006249006102246613
 </pre></div>
@@ -1206,7 +1206,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.175 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.329 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-2-multi-fidelity-2-sgd-datasets-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/2_multi_fidelity/2_sgd_datasets.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo1.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html b/v2.1.0/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html
index 320b24375..df89fd82c 100644
--- a/v2.1.0/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html
+++ b/v2.1.0/examples/2_multi_fidelity/3_specify_HB_via_total_budget.html
@@ -1202,7 +1202,7 @@
     <span class="n">plot</span><span class="p">(</span><span class="n">smac</span><span class="o">.</span><span class="n">runhistory</span><span class="p">,</span> <span class="n">incumbent</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 7.958 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.210 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-2-multi-fidelity-3-specify-hb-via-total-budget-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/2_multi_fidelity/3_specify_HB_via_total_budget.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo1.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/2_multi_fidelity/sg_execution_times.html b/v2.1.0/examples/2_multi_fidelity/sg_execution_times.html
index bf37b0595..943707c04 100644
--- a/v2.1.0/examples/2_multi_fidelity/sg_execution_times.html
+++ b/v2.1.0/examples/2_multi_fidelity/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-2-multi-fidelity-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>03:36.669</strong> total execution time for 3 files <strong>from examples/2_multi_fidelity</strong>:</p>
+<p><strong>03:41.279</strong> total execution time for 3 files <strong>from examples/2_multi_fidelity</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,15 +1051,15 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="1_mlp_epochs.html#sphx-glr-examples-2-multi-fidelity-1-mlp-epochs-py"><span class="std std-ref">Multi-Layer Perceptron Using Multiple Epochs</span></a> (<code class="docutils literal notranslate"><span class="pre">1_mlp_epochs.py</span></code>)</p></td>
-<td><p>02:54.536</p></td>
+<td><p>02:58.740</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="2_sgd_datasets.html#sphx-glr-examples-2-multi-fidelity-2-sgd-datasets-py"><span class="std std-ref">Stochastic Gradient Descent On Multiple Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">2_sgd_datasets.py</span></code>)</p></td>
-<td><p>00:34.175</p></td>
+<td><p>00:34.329</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="3_specify_HB_via_total_budget.html#sphx-glr-examples-2-multi-fidelity-3-specify-hb-via-total-budget-py"><span class="std std-ref">Specify Number of Trials via a Total Budget in Hyperband</span></a> (<code class="docutils literal notranslate"><span class="pre">3_specify_HB_via_total_budget.py</span></code>)</p></td>
-<td><p>00:07.958</p></td>
+<td><p>00:08.210</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/v2.1.0/examples/3_multi_objective/1_schaffer.html b/v2.1.0/examples/3_multi_objective/1_schaffer.html
index 078f6e111..e111e1305 100644
--- a/v2.1.0/examples/3_multi_objective/1_schaffer.html
+++ b/v2.1.0/examples/3_multi_objective/1_schaffer.html
@@ -1456,7 +1456,7 @@
     <span class="n">plot_from_smac</span><span class="p">(</span><span class="n">smac</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.572 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 8.876 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-3-multi-objective-1-schaffer-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/3_multi_objective/1_schaffer.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo2.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/3_multi_objective/2_parego.html b/v2.1.0/examples/3_multi_objective/2_parego.html
index e924daeba..ecbf06ac7 100644
--- a/v2.1.0/examples/3_multi_objective/2_parego.html
+++ b/v2.1.0/examples/3_multi_objective/2_parego.html
@@ -1047,25 +1047,26 @@
 [INFO][abstract_intensifier.py:602] Config 540db2 is a new incumbent. Total number of incumbents: 2.
 [INFO][abstract_intensifier.py:602] Config 0c9159 is a new incumbent. Total number of incumbents: 3.
 [INFO][abstract_intensifier.py:594] Added config 3b5efd and rejected config 540db2 as incumbent because it is not better than the incumbents on 2 instances:
-[INFO][abstract_intensifier.py:602] Config 3dbce7 is a new incumbent. Total number of incumbents: 3.
-[INFO][abstract_intensifier.py:594] Added config 86457c and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
-[INFO][abstract_intensifier.py:602] Config b636c9 is a new incumbent. Total number of incumbents: 4.
-[INFO][abstract_intensifier.py:602] Config e9336a is a new incumbent. Total number of incumbents: 5.
-[INFO][abstract_intensifier.py:602] Config 257bf2 is a new incumbent. Total number of incumbents: 6.
+[INFO][abstract_intensifier.py:602] Config 3b05b0 is a new incumbent. Total number of incumbents: 4.
+[INFO][abstract_intensifier.py:602] Config 76a0b6 is a new incumbent. Total number of incumbents: 5.
+[INFO][abstract_intensifier.py:594] Added config 14180c and rejected config 0c9159 as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config 2a16be is a new incumbent. Total number of incumbents: 6.
+[INFO][abstract_intensifier.py:594] Added config 9040f2 and rejected config 3623cc as incumbent because it is not better than the incumbents on 2 instances:
+[INFO][abstract_intensifier.py:602] Config 733044 is a new incumbent. Total number of incumbents: 6.
 [INFO][smbo.py:327] Configuration budget is exhausted:
-[INFO][smbo.py:328] --- Remaining wallclock time: -0.22296595573425293
+[INFO][smbo.py:328] --- Remaining wallclock time: -0.04070615768432617
 [INFO][smbo.py:329] --- Remaining cpu time: inf
 [INFO][smbo.py:330] --- Remaining trials: 156
 Validated costs from default config:
---- [0.60155834 0.15696132]
+--- [0.60155834 0.16190255]
 
 Validated costs from the Pareto front (incumbents):
---- [0.03534045 0.56337726]
---- [0.16305014 0.28335488]
---- [0.38509904 0.16536093]
---- [0.17502786 0.2682035 ]
---- [0.45798979 0.16660476]
---- [0.08681291 0.29409325]
+--- [0.03561281 0.63894427]
+--- [0.03115986 0.69596028]
+--- [0.03450325 0.64041424]
+--- [0.12157768 0.27278602]
+--- [0.5458844  0.21992087]
+--- [0.377565   0.25858188]
 </pre></div>
 </div>
 <div class="line-block">
@@ -1239,7 +1240,7 @@
     <span class="n">plot_pareto</span><span class="p">(</span><span class="n">smac</span><span class="p">,</span> <span class="n">incumbents</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 34.155 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 35.958 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-3-multi-objective-2-parego-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/3_multi_objective/2_parego.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo2.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/3_multi_objective/sg_execution_times.html b/v2.1.0/examples/3_multi_objective/sg_execution_times.html
index e6f53be86..28bd9846f 100644
--- a/v2.1.0/examples/3_multi_objective/sg_execution_times.html
+++ b/v2.1.0/examples/3_multi_objective/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-3-multi-objective-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:42.727</strong> total execution time for 2 files <strong>from examples/3_multi_objective</strong>:</p>
+<p><strong>00:44.834</strong> total execution time for 2 files <strong>from examples/3_multi_objective</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,11 +1051,11 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="2_parego.html#sphx-glr-examples-3-multi-objective-2-parego-py"><span class="std std-ref">ParEGO</span></a> (<code class="docutils literal notranslate"><span class="pre">2_parego.py</span></code>)</p></td>
-<td><p>00:34.155</p></td>
+<td><p>00:35.958</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="1_schaffer.html#sphx-glr-examples-3-multi-objective-1-schaffer-py"><span class="std std-ref">2D Schaffer Function with Objective Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">1_schaffer.py</span></code>)</p></td>
-<td><p>00:08.572</p></td>
+<td><p>00:08.876</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/v2.1.0/examples/5_commandline/1_call_target_function_script.html b/v2.1.0/examples/5_commandline/1_call_target_function_script.html
index b581de355..e8cc61a8b 100644
--- a/v2.1.0/examples/5_commandline/1_call_target_function_script.html
+++ b/v2.1.0/examples/5_commandline/1_call_target_function_script.html
@@ -1108,7 +1108,7 @@
     <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">&quot;Incumbent cost: </span><span class="si">{</span><span class="n">incumbent_cost</span><span class="si">}</span><span class="s2">&quot;</span><span class="p">)</span>
 </pre></div>
 </div>
-<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 19.417 seconds)</p>
+<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> (0 minutes 19.866 seconds)</p>
 <div class="sphx-glr-footer sphx-glr-footer-example docutils container" id="sphx-glr-download-examples-5-commandline-1-call-target-function-script-py">
 <div class="binder-badge docutils container">
 <a class="reference external image-reference" href="https://mybinder.org/v2/gh/automl/SMAC3/main?urlpath=lab/tree/notebooks/examples/5_commandline/1_call_target_function_script.ipynb"><img alt="Launch binder" src="../../_images/binder_badge_logo3.svg" style="width: 150px;" />
diff --git a/v2.1.0/examples/5_commandline/sg_execution_times.html b/v2.1.0/examples/5_commandline/sg_execution_times.html
index bfdfc4e0b..fc3864560 100644
--- a/v2.1.0/examples/5_commandline/sg_execution_times.html
+++ b/v2.1.0/examples/5_commandline/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-examples-5-commandline-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>00:19.417</strong> total execution time for 1 file <strong>from examples/5_commandline</strong>:</p>
+<p><strong>00:19.866</strong> total execution time for 1 file <strong>from examples/5_commandline</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,7 +1051,7 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="1_call_target_function_script.html#sphx-glr-examples-5-commandline-1-call-target-function-script-py"><span class="std std-ref">Call Target Function From Script</span></a> (<code class="docutils literal notranslate"><span class="pre">1_call_target_function_script.py</span></code>)</p></td>
-<td><p>00:19.417</p></td>
+<td><p>00:19.866</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>
diff --git a/v2.1.0/searchindex.js b/v2.1.0/searchindex.js
index 7d57ea4cf..3f363060c 100644
--- a/v2.1.0/searchindex.js
+++ b/v2.1.0/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"2D Schaffer Function with Objective Weights": [[144, null]], "API References": [[5, null]], "Acquisition Function": [[13, "acquisition-function"]], "Acquisition Maximizer": [[13, "acquisition-maximizer"]], "Advanced Usage": [[22, null]], "Anaconda": [[1, "anaconda"]], "Ask-and-Tell": [[133, null]], "Ask-and-Tell Interface": [[17, null]], "Automatically Stopping": [[19, "automatically-stopping"]], "Basics": [[137, null], [151, "basics"]], "Call Target Function From Script": [[148, null]], "Call of the Target Function": [[18, "call-of-the-target-function"]], "Callback": [[13, "callback"]], "Classes": [[25, "classes"], [26, "classes"], [27, "classes"], [28, "classes"], [29, "classes"], [30, "classes"], [31, "classes"], [33, "classes"], [34, "classes"], [35, "classes"], [36, "classes"], [37, "classes"], [38, "classes"], [40, "classes"], [41, "classes"], [43, "classes"], [44, "classes"], [45, "classes"], [46, "classes"], [47, "classes"], [48, "classes"], [49, "classes"], [51, "classes"], [52, "classes"], [53, "classes"], [54, "classes"], [55, "classes"], [56, "classes"], [58, "classes"], [59, "classes"], [61, "classes"], [62, "classes"], [64, "classes"], [65, "classes"], [67, "classes"], [69, "classes"], [70, "classes"], [73, "classes"], [74, "classes"], [75, "classes"], [76, "classes"], [77, "classes"], [78, "classes"], [80, "classes"], [81, "classes"], [82, "classes"], [83, "classes"], [84, "classes"], [85, "classes"], [87, "classes"], [88, "classes"], [89, "classes"], [91, "classes"], [92, "classes"], [93, "classes"], [95, "classes"], [96, "classes"], [97, "classes"], [98, "classes"], [100, "classes"], [102, "classes"], [104, "classes"], [105, "classes"], [106, "classes"], [107, "classes"], [108, "classes"], [109, "classes"], [110, "classes"], [111, "classes"], [113, "classes"], [115, "classes"], [116, "classes"], [117, "classes"], [119, "classes"], [120, "classes"], [121, "classes"]], "Command-Line Interface": [[18, null], [149, null], [151, "command-line-interface"]], "Comparison": [[2, "comparison"]], "Components": [[13, null]], "Computation times": [[138, null], [143, null], [147, null], [150, null], [152, null], [155, null]], "Conda-forge": [[1, "conda-forge"]], "Configuration Selector": [[13, "configuration-selector"]], "Configuration Space": [[3, "configuration-space"]], "Contact": [[154, "contact"]], "Continue": [[10, null]], "Continue an Optimization": [[135, null]], "Custom Callback": [[134, null]], "Custom File": [[20, "custom-file"]], "Examples": [[151, null]], "Exceptions": [[112, "exceptions"], [118, "exceptions"]], "Experimental": [[0, null]], "F.A.Q.": [[8, null]], "Facade": [[3, "facade"]], "Features": [[2, "features"]], "Functions": [[60, "functions"], [123, "functions"], [124, "functions"], [125, "functions"], [126, "functions"], [127, "functions"]], "Getting Started": [[3, null]], "Glossary": [[7, null]], "Home": [[154, null]], "Initial Design": [[13, "initial-design"]], "Installation": [[1, null]], "Installation in Windows via WSL": [[0, "installation-in-windows-via-wsl"]], "Intensifier": [[13, "intensifier"]], "Interfaces": [[23, "interfaces"], [24, "interfaces"], [25, "interfaces"], [26, "interfaces"], [27, "interfaces"], [28, "interfaces"], [29, "interfaces"], [30, "interfaces"], [31, "interfaces"], [32, "interfaces"], [33, "interfaces"], [34, "interfaces"], [35, "interfaces"], [36, "interfaces"], [37, "interfaces"], [38, "interfaces"], [39, "interfaces"], [40, "interfaces"], [41, "interfaces"], [42, "interfaces"], [43, "interfaces"], [44, "interfaces"], [45, "interfaces"], [46, "interfaces"], [47, "interfaces"], [48, "interfaces"], [49, "interfaces"], [50, "interfaces"], [51, "interfaces"], [52, "interfaces"], [53, "interfaces"], [54, "interfaces"], [55, "interfaces"], [56, "interfaces"], [57, "interfaces"], [58, "interfaces"], [59, "interfaces"], [60, "interfaces"], [61, "interfaces"], [62, "interfaces"], [63, "interfaces"], [64, "interfaces"], [65, "interfaces"], [66, "interfaces"], [67, "interfaces"], [68, "interfaces"], [69, "interfaces"], [70, "interfaces"], [71, "interfaces"], [72, "interfaces"], [73, "interfaces"], [74, "interfaces"], [75, "interfaces"], [76, "interfaces"], [77, "interfaces"], [78, "interfaces"], [79, "interfaces"], [80, "interfaces"], [81, "interfaces"], [82, "interfaces"], [83, "interfaces"], [84, "interfaces"], [85, "interfaces"], [86, "interfaces"], [87, "interfaces"], [88, "interfaces"], [89, "interfaces"], [90, "interfaces"], [91, "interfaces"], [92, "interfaces"], [93, "interfaces"], [94, "interfaces"], [95, "interfaces"], [96, "interfaces"], [97, "interfaces"], [98, "interfaces"], [99, "interfaces"], [100, "interfaces"], [101, "interfaces"], [102, "interfaces"], [103, "interfaces"], [104, "interfaces"], [105, "interfaces"], [106, "interfaces"], [107, "interfaces"], [108, "interfaces"], [109, "interfaces"], [110, "interfaces"], [111, "interfaces"], [112, "interfaces"], [113, "interfaces"], [114, "interfaces"], [115, "interfaces"], [116, "interfaces"], [117, "interfaces"], [118, "interfaces"], [119, "interfaces"], [120, "interfaces"], [121, "interfaces"], [122, "interfaces"], [123, "interfaces"], [124, "interfaces"], [125, "interfaces"], [126, "interfaces"], [127, "interfaces"], [128, "interfaces"], [129, "interfaces"], [130, "interfaces"]], "Level": [[20, "level"]], "License": [[9, null]], "Logging": [[20, null]], "Minimal Example": [[4, null]], "Modules": [[23, "modules"], [24, "modules"], [32, "modules"], [39, "modules"], [42, "modules"], [50, "modules"], [57, "modules"], [63, "modules"], [66, "modules"], [68, "modules"], [72, "modules"], [79, "modules"], [86, "modules"], [90, "modules"], [94, "modules"], [99, "modules"], [101, "modules"], [114, "modules"], [122, "modules"], [128, "modules"]], "Multi-Fidelity Optimization": [[14, null]], "Multi-Fidelity and Multi-Instances": [[142, null], [151, "multi-fidelity-and-multi-instances"]], "Multi-Layer Perceptron Using Multiple Epochs": [[139, null]], "Multi-Objective": [[146, null], [151, "multi-objective"]], "Multi-Objective Algorithm": [[13, "multi-objective-algorithm"]], "Multi-Objective Optimization": [[15, null]], "Navigation": [[22, "navigation"]], "Optimization across Instances": [[16, null]], "Optimizations": [[12, null]], "Overview Figure": [[153, null]], "Package Overview": [[2, null]], "ParEGO": [[145, null]], "Parallelism": [[21, null]], "Quadratic Function": [[131, null]], "Random Design": [[13, "random-design"]], "References": [[6, null]], "Reproducibility": [[11, null]], "Requirements": [[1, "requirements"]], "Return of the Target Function": [[18, "return-of-the-target-function"]], "RunHistory": [[13, "runhistory"]], "RunHistory Encoder": [[13, "runhistory-encoder"]], "Running on a Cluster": [[21, "running-on-a-cluster"]], "Scenario": [[3, "scenario"]], "Specify Number of Trials via a Total Budget in Hyperband": [[141, null]], "Start the Optimization": [[18, "start-the-optimization"]], "Stochastic Gradient Descent On Multiple Datasets": [[140, null]], "Stopping Criteria": [[19, null]], "Support Vector Machine with Cross-Validation": [[132, null]], "Surrogate Model": [[13, "surrogate-model"]], "Target Function": [[3, "target-function"]], "Termination Cost Threshold": [[19, "termination-cost-threshold"]], "User Priors over the Optimum": [[136, null]], "Windows via WSL (Experimental)": [[1, "windows-via-wsl-experimental"]], "smac.acquisition": [[23, null]], "smac.acquisition.function": [[24, null]], "smac.acquisition.function.abstract_acquisition_function": [[25, null]], "smac.acquisition.function.confidence_bound": [[26, null]], "smac.acquisition.function.expected_improvement": [[27, null]], "smac.acquisition.function.integrated_acquisition_function": [[28, null]], "smac.acquisition.function.prior_acqusition_function": [[29, null]], "smac.acquisition.function.probability_improvement": [[30, null]], "smac.acquisition.function.thompson": [[31, null]], "smac.acquisition.maximizer": [[32, null]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, null]], "smac.acquisition.maximizer.differential_evolution": [[34, null]], "smac.acquisition.maximizer.helpers": [[35, null]], "smac.acquisition.maximizer.local_and_random_search": [[36, null]], "smac.acquisition.maximizer.local_search": [[37, null]], "smac.acquisition.maximizer.random_search": [[38, null]], "smac.callback": [[39, null]], "smac.callback.callback": [[40, null]], "smac.callback.metadata_callback": [[41, null]], "smac.facade": [[42, null]], "smac.facade.abstract_facade": [[43, null]], "smac.facade.algorithm_configuration_facade": [[44, null]], "smac.facade.blackbox_facade": [[45, null]], "smac.facade.hyperband_facade": [[46, null]], "smac.facade.hyperparameter_optimization_facade": [[47, null]], "smac.facade.multi_fidelity_facade": [[48, null]], "smac.facade.random_facade": [[49, null]], "smac.initial_design": [[50, null]], "smac.initial_design.abstract_initial_design": [[51, null]], "smac.initial_design.default_design": [[52, null]], "smac.initial_design.factorial_design": [[53, null]], "smac.initial_design.latin_hypercube_design": [[54, null]], "smac.initial_design.random_design": [[55, null]], "smac.initial_design.sobol_design": [[56, null]], "smac.intensifier": [[57, null]], "smac.intensifier.abstract_intensifier": [[58, null]], "smac.intensifier.hyperband": [[59, null]], "smac.intensifier.hyperband_utils": [[60, null]], "smac.intensifier.intensifier": [[61, null]], "smac.intensifier.successive_halving": [[62, null]], "smac.main": [[63, null]], "smac.main.config_selector": [[64, null]], "smac.main.smbo": [[65, null]], "smac.model": [[66, null]], "smac.model.abstract_model": [[67, null]], "smac.model.gaussian_process": [[68, null]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, null]], "smac.model.gaussian_process.gaussian_process": [[70, null]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, null]], "smac.model.gaussian_process.kernels": [[72, null]], "smac.model.gaussian_process.kernels.base_kernels": [[73, null]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, null]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, null]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, null]], "smac.model.gaussian_process.kernels.white_kernel": [[77, null]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, null]], "smac.model.gaussian_process.priors": [[79, null]], "smac.model.gaussian_process.priors.abstract_prior": [[80, null]], "smac.model.gaussian_process.priors.gamma_prior": [[81, null]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, null]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, null]], "smac.model.gaussian_process.priors.tophat_prior": [[84, null]], "smac.model.multi_objective_model": [[85, null]], "smac.model.random_forest": [[86, null]], "smac.model.random_forest.abstract_random_forest": [[87, null]], "smac.model.random_forest.random_forest": [[88, null]], "smac.model.random_model": [[89, null]], "smac.multi_objective": [[90, null]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, null]], "smac.multi_objective.aggregation_strategy": [[92, null]], "smac.multi_objective.parego": [[93, null]], "smac.random_design": [[94, null]], "smac.random_design.abstract_random_design": [[95, null]], "smac.random_design.annealing_design": [[96, null]], "smac.random_design.modulus_design": [[97, null]], "smac.random_design.probability_design": [[98, null]], "smac.runhistory": [[99, null]], "smac.runhistory.dataclasses": [[100, null]], "smac.runhistory.encoder": [[101, null]], "smac.runhistory.encoder.abstract_encoder": [[102, null]], "smac.runhistory.encoder.boing_encoder": [[103, null]], "smac.runhistory.encoder.eips_encoder": [[104, null]], "smac.runhistory.encoder.encoder": [[105, null]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, null]], "smac.runhistory.encoder.log_encoder": [[107, null]], "smac.runhistory.encoder.log_scaled_encoder": [[108, null]], "smac.runhistory.encoder.scaled_encoder": [[109, null]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, null]], "smac.runhistory.enumerations": [[111, null]], "smac.runhistory.errors": [[112, null]], "smac.runhistory.runhistory": [[113, null]], "smac.runner": [[114, null]], "smac.runner.abstract_runner": [[115, null]], "smac.runner.abstract_serial_runner": [[116, null]], "smac.runner.dask_runner": [[117, null]], "smac.runner.exceptions": [[118, null]], "smac.runner.target_function_runner": [[119, null]], "smac.runner.target_function_script_runner": [[120, null]], "smac.scenario": [[121, null]], "smac.utils": [[122, null]], "smac.utils.configspace": [[123, null]], "smac.utils.data_structures": [[124, null]], "smac.utils.logging": [[125, null]], "smac.utils.multi_objective": [[126, null]], "smac.utils.pareto_front": [[127, null]], "smac.utils.subspaces": [[128, null]], "smac.utils.subspaces.boing_subspace": [[129, null]], "smac.utils.subspaces.turbo_subspace": [[130, null]]}, "docnames": ["10_experimental", "1_installation", "2_package_overview", "3_getting_started", "4_minimal_example", "5_api", "6_references", "7_glossary", "8_faq", "9_license", "advanced_usage/10_continue", "advanced_usage/11_reproducibility", "advanced_usage/12_optimizations", "advanced_usage/1_components", "advanced_usage/2_multi_fidelity", "advanced_usage/3_multi_objective", "advanced_usage/4_instances", "advanced_usage/5_ask_and_tell", "advanced_usage/6_commandline", "advanced_usage/7_stopping_criteria", "advanced_usage/8_logging", "advanced_usage/9_parallelism", "advanced_usage/index", "api/smac.acquisition", "api/smac.acquisition.function", "api/smac.acquisition.function.abstract_acquisition_function", "api/smac.acquisition.function.confidence_bound", "api/smac.acquisition.function.expected_improvement", "api/smac.acquisition.function.integrated_acquisition_function", "api/smac.acquisition.function.prior_acqusition_function", "api/smac.acquisition.function.probability_improvement", "api/smac.acquisition.function.thompson", "api/smac.acquisition.maximizer", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer", "api/smac.acquisition.maximizer.differential_evolution", "api/smac.acquisition.maximizer.helpers", "api/smac.acquisition.maximizer.local_and_random_search", "api/smac.acquisition.maximizer.local_search", "api/smac.acquisition.maximizer.random_search", "api/smac.callback", "api/smac.callback.callback", "api/smac.callback.metadata_callback", "api/smac.facade", "api/smac.facade.abstract_facade", "api/smac.facade.algorithm_configuration_facade", "api/smac.facade.blackbox_facade", "api/smac.facade.hyperband_facade", "api/smac.facade.hyperparameter_optimization_facade", "api/smac.facade.multi_fidelity_facade", "api/smac.facade.random_facade", "api/smac.initial_design", "api/smac.initial_design.abstract_initial_design", "api/smac.initial_design.default_design", "api/smac.initial_design.factorial_design", "api/smac.initial_design.latin_hypercube_design", "api/smac.initial_design.random_design", "api/smac.initial_design.sobol_design", "api/smac.intensifier", "api/smac.intensifier.abstract_intensifier", "api/smac.intensifier.hyperband", "api/smac.intensifier.hyperband_utils", "api/smac.intensifier.intensifier", "api/smac.intensifier.successive_halving", "api/smac.main", "api/smac.main.config_selector", "api/smac.main.smbo", "api/smac.model", "api/smac.model.abstract_model", "api/smac.model.gaussian_process", "api/smac.model.gaussian_process.abstract_gaussian_process", "api/smac.model.gaussian_process.gaussian_process", "api/smac.model.gaussian_process.gpytorch_gaussian_process", "api/smac.model.gaussian_process.kernels", "api/smac.model.gaussian_process.kernels.base_kernels", "api/smac.model.gaussian_process.kernels.hamming_kernel", "api/smac.model.gaussian_process.kernels.matern_kernel", "api/smac.model.gaussian_process.kernels.rbf_kernel", "api/smac.model.gaussian_process.kernels.white_kernel", "api/smac.model.gaussian_process.mcmc_gaussian_process", "api/smac.model.gaussian_process.priors", "api/smac.model.gaussian_process.priors.abstract_prior", "api/smac.model.gaussian_process.priors.gamma_prior", "api/smac.model.gaussian_process.priors.horseshoe_prior", "api/smac.model.gaussian_process.priors.log_normal_prior", "api/smac.model.gaussian_process.priors.tophat_prior", "api/smac.model.multi_objective_model", "api/smac.model.random_forest", "api/smac.model.random_forest.abstract_random_forest", "api/smac.model.random_forest.random_forest", "api/smac.model.random_model", "api/smac.multi_objective", "api/smac.multi_objective.abstract_multi_objective_algorithm", "api/smac.multi_objective.aggregation_strategy", "api/smac.multi_objective.parego", "api/smac.random_design", "api/smac.random_design.abstract_random_design", "api/smac.random_design.annealing_design", "api/smac.random_design.modulus_design", "api/smac.random_design.probability_design", "api/smac.runhistory", "api/smac.runhistory.dataclasses", "api/smac.runhistory.encoder", "api/smac.runhistory.encoder.abstract_encoder", "api/smac.runhistory.encoder.boing_encoder", "api/smac.runhistory.encoder.eips_encoder", "api/smac.runhistory.encoder.encoder", "api/smac.runhistory.encoder.inverse_scaled_encoder", "api/smac.runhistory.encoder.log_encoder", "api/smac.runhistory.encoder.log_scaled_encoder", "api/smac.runhistory.encoder.scaled_encoder", "api/smac.runhistory.encoder.sqrt_scaled_encoder", "api/smac.runhistory.enumerations", "api/smac.runhistory.errors", "api/smac.runhistory.runhistory", "api/smac.runner", "api/smac.runner.abstract_runner", "api/smac.runner.abstract_serial_runner", "api/smac.runner.dask_runner", "api/smac.runner.exceptions", "api/smac.runner.target_function_runner", "api/smac.runner.target_function_script_runner", "api/smac.scenario", "api/smac.utils", "api/smac.utils.configspace", "api/smac.utils.data_structures", "api/smac.utils.logging", "api/smac.utils.multi_objective", "api/smac.utils.pareto_front", "api/smac.utils.subspaces", "api/smac.utils.subspaces.boing_subspace", "api/smac.utils.subspaces.turbo_subspace", "examples/1_basics/1_quadratic_function", "examples/1_basics/2_svm_cv", "examples/1_basics/3_ask_and_tell", "examples/1_basics/4_callback", "examples/1_basics/5_continue", "examples/1_basics/6_priors", "examples/1_basics/index", "examples/1_basics/sg_execution_times", "examples/2_multi_fidelity/1_mlp_epochs", "examples/2_multi_fidelity/2_sgd_datasets", "examples/2_multi_fidelity/3_specify_HB_via_total_budget", "examples/2_multi_fidelity/index", "examples/2_multi_fidelity/sg_execution_times", "examples/3_multi_objective/1_schaffer", "examples/3_multi_objective/2_parego", "examples/3_multi_objective/index", "examples/3_multi_objective/sg_execution_times", "examples/5_commandline/1_call_target_function_script", "examples/5_commandline/index", "examples/5_commandline/sg_execution_times", "examples/index", "examples/sg_execution_times", "images/README", "index", "sg_execution_times"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1}, "filenames": ["10_experimental.rst", "1_installation.rst", "2_package_overview.rst", "3_getting_started.rst", "4_minimal_example.rst", "5_api.rst", "6_references.rst", "7_glossary.rst", "8_faq.rst", "9_license.rst", "advanced_usage/10_continue.rst", "advanced_usage/11_reproducibility.rst", "advanced_usage/12_optimizations.rst", "advanced_usage/1_components.rst", "advanced_usage/2_multi_fidelity.rst", "advanced_usage/3_multi_objective.rst", "advanced_usage/4_instances.rst", "advanced_usage/5_ask_and_tell.rst", "advanced_usage/6_commandline.rst", "advanced_usage/7_stopping_criteria.rst", "advanced_usage/8_logging.rst", "advanced_usage/9_parallelism.rst", "advanced_usage/index.rst", "api/smac.acquisition.rst", "api/smac.acquisition.function.rst", "api/smac.acquisition.function.abstract_acquisition_function.rst", "api/smac.acquisition.function.confidence_bound.rst", "api/smac.acquisition.function.expected_improvement.rst", "api/smac.acquisition.function.integrated_acquisition_function.rst", "api/smac.acquisition.function.prior_acqusition_function.rst", "api/smac.acquisition.function.probability_improvement.rst", "api/smac.acquisition.function.thompson.rst", "api/smac.acquisition.maximizer.rst", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer.rst", "api/smac.acquisition.maximizer.differential_evolution.rst", "api/smac.acquisition.maximizer.helpers.rst", "api/smac.acquisition.maximizer.local_and_random_search.rst", "api/smac.acquisition.maximizer.local_search.rst", "api/smac.acquisition.maximizer.random_search.rst", "api/smac.callback.rst", "api/smac.callback.callback.rst", "api/smac.callback.metadata_callback.rst", "api/smac.facade.rst", "api/smac.facade.abstract_facade.rst", "api/smac.facade.algorithm_configuration_facade.rst", "api/smac.facade.blackbox_facade.rst", "api/smac.facade.hyperband_facade.rst", "api/smac.facade.hyperparameter_optimization_facade.rst", "api/smac.facade.multi_fidelity_facade.rst", "api/smac.facade.random_facade.rst", "api/smac.initial_design.rst", "api/smac.initial_design.abstract_initial_design.rst", "api/smac.initial_design.default_design.rst", "api/smac.initial_design.factorial_design.rst", "api/smac.initial_design.latin_hypercube_design.rst", "api/smac.initial_design.random_design.rst", "api/smac.initial_design.sobol_design.rst", "api/smac.intensifier.rst", "api/smac.intensifier.abstract_intensifier.rst", "api/smac.intensifier.hyperband.rst", "api/smac.intensifier.hyperband_utils.rst", "api/smac.intensifier.intensifier.rst", "api/smac.intensifier.successive_halving.rst", "api/smac.main.rst", "api/smac.main.config_selector.rst", "api/smac.main.smbo.rst", "api/smac.model.rst", "api/smac.model.abstract_model.rst", "api/smac.model.gaussian_process.rst", "api/smac.model.gaussian_process.abstract_gaussian_process.rst", "api/smac.model.gaussian_process.gaussian_process.rst", "api/smac.model.gaussian_process.gpytorch_gaussian_process.rst", "api/smac.model.gaussian_process.kernels.rst", "api/smac.model.gaussian_process.kernels.base_kernels.rst", "api/smac.model.gaussian_process.kernels.hamming_kernel.rst", "api/smac.model.gaussian_process.kernels.matern_kernel.rst", "api/smac.model.gaussian_process.kernels.rbf_kernel.rst", "api/smac.model.gaussian_process.kernels.white_kernel.rst", "api/smac.model.gaussian_process.mcmc_gaussian_process.rst", "api/smac.model.gaussian_process.priors.rst", "api/smac.model.gaussian_process.priors.abstract_prior.rst", "api/smac.model.gaussian_process.priors.gamma_prior.rst", "api/smac.model.gaussian_process.priors.horseshoe_prior.rst", "api/smac.model.gaussian_process.priors.log_normal_prior.rst", "api/smac.model.gaussian_process.priors.tophat_prior.rst", "api/smac.model.multi_objective_model.rst", "api/smac.model.random_forest.rst", "api/smac.model.random_forest.abstract_random_forest.rst", "api/smac.model.random_forest.random_forest.rst", "api/smac.model.random_model.rst", "api/smac.multi_objective.rst", "api/smac.multi_objective.abstract_multi_objective_algorithm.rst", "api/smac.multi_objective.aggregation_strategy.rst", "api/smac.multi_objective.parego.rst", "api/smac.random_design.rst", "api/smac.random_design.abstract_random_design.rst", "api/smac.random_design.annealing_design.rst", "api/smac.random_design.modulus_design.rst", "api/smac.random_design.probability_design.rst", "api/smac.runhistory.rst", "api/smac.runhistory.dataclasses.rst", "api/smac.runhistory.encoder.rst", "api/smac.runhistory.encoder.abstract_encoder.rst", "api/smac.runhistory.encoder.boing_encoder.rst", "api/smac.runhistory.encoder.eips_encoder.rst", "api/smac.runhistory.encoder.encoder.rst", "api/smac.runhistory.encoder.inverse_scaled_encoder.rst", "api/smac.runhistory.encoder.log_encoder.rst", "api/smac.runhistory.encoder.log_scaled_encoder.rst", "api/smac.runhistory.encoder.scaled_encoder.rst", "api/smac.runhistory.encoder.sqrt_scaled_encoder.rst", "api/smac.runhistory.enumerations.rst", "api/smac.runhistory.errors.rst", "api/smac.runhistory.runhistory.rst", "api/smac.runner.rst", "api/smac.runner.abstract_runner.rst", "api/smac.runner.abstract_serial_runner.rst", "api/smac.runner.dask_runner.rst", "api/smac.runner.exceptions.rst", "api/smac.runner.target_function_runner.rst", "api/smac.runner.target_function_script_runner.rst", "api/smac.scenario.rst", "api/smac.utils.rst", "api/smac.utils.configspace.rst", "api/smac.utils.data_structures.rst", "api/smac.utils.logging.rst", "api/smac.utils.multi_objective.rst", "api/smac.utils.pareto_front.rst", "api/smac.utils.subspaces.rst", "api/smac.utils.subspaces.boing_subspace.rst", "api/smac.utils.subspaces.turbo_subspace.rst", "examples/1_basics/1_quadratic_function.rst", "examples/1_basics/2_svm_cv.rst", "examples/1_basics/3_ask_and_tell.rst", "examples/1_basics/4_callback.rst", "examples/1_basics/5_continue.rst", "examples/1_basics/6_priors.rst", "examples/1_basics/index.rst", "examples/1_basics/sg_execution_times.rst", "examples/2_multi_fidelity/1_mlp_epochs.rst", "examples/2_multi_fidelity/2_sgd_datasets.rst", "examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst", "examples/2_multi_fidelity/index.rst", "examples/2_multi_fidelity/sg_execution_times.rst", "examples/3_multi_objective/1_schaffer.rst", "examples/3_multi_objective/2_parego.rst", "examples/3_multi_objective/index.rst", "examples/3_multi_objective/sg_execution_times.rst", "examples/5_commandline/1_call_target_function_script.rst", "examples/5_commandline/index.rst", "examples/5_commandline/sg_execution_times.rst", "examples/index.rst", "examples/sg_execution_times.rst", "images/README.md", "index.rst", "sg_execution_times.rst"], "indexentries": {"__call__() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.constantkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.productkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.sumkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.constantkernel method)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.productkernel method)": [[72, "smac.model.gaussian_process.kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.sumkernel method)": [[72, "smac.model.gaussian_process.kernels.SumKernel.__call__", false]], "__call__() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.aggregation_strategy.meanaggregationstrategy method)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.meanaggregationstrategy method)": [[90, "smac.multi_objective.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.__call__", false]], "__call__() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.__call__", false]], "__call__() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.__call__", false]], "__call__() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.__call__", false]], "__call__() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.__call__", false]], "__contains__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__contains__", false]], "__contains__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__contains__", false]], "__del__() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.__del__", false]], "__del__() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.__del__", false]], "__eq__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__eq__", false]], "__eq__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__eq__", false]], "__getitem__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__getitem__", false]], "__getitem__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__getitem__", false]], "__iter__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.main.config_selector.configselector method)": [[64, "smac.main.config_selector.ConfigSelector.__iter__", false]], "__iter__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__iter__", false]], "__iter__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__iter__", false]], "__len__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__len__", false]], "__len__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__len__", false]], "__post_init__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.__post_init__", false]], "_acquisition_function (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._acquisition_function", false]], "_acquisition_function (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._acquisition_function", false]], "_beta (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._beta", false]], "_beta (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._beta", false]], "_eta (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._eta", false]], "_eta (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._eta", false]], "_eta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._eta", false]], "_eta (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._eta", false]], "_functions (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._functions", false]], "_functions (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._functions", false]], "_log (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._log", false]], "_log (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._log", false]], "_num_data (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._num_data", false]], "_num_data (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._num_data", false]], "_xi (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._xi", false]], "_xi (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._xi", false]], "abstractacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction", false]], "abstractacquisitionfunction (class in smac.acquisition.function.abstract_acquisition_function)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer.abstract_acqusition_maximizer)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer", false]], "abstractfacade (class in smac.facade)": [[42, "smac.facade.AbstractFacade", false]], "abstractfacade (class in smac.facade.abstract_facade)": [[43, "smac.facade.abstract_facade.AbstractFacade", false]], "abstractgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess", false]], "abstractgaussianprocess (class in smac.model.gaussian_process.abstract_gaussian_process)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess", false]], "abstractinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.AbstractInitialDesign", false]], "abstractinitialdesign (class in smac.initial_design.abstract_initial_design)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign", false]], "abstractintensifier (class in smac.intensifier)": [[57, "smac.intensifier.AbstractIntensifier", false]], "abstractintensifier (class in smac.intensifier.abstract_intensifier)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier", false]], "abstractkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel", false]], "abstractkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel", false]], "abstractmodel (class in smac.model)": [[66, "smac.model.AbstractModel", false]], "abstractmodel (class in smac.model.abstract_model)": [[67, "smac.model.abstract_model.AbstractModel", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective.abstract_multi_objective_algorithm)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm", false]], "abstractprior (class in smac.model.gaussian_process.priors.abstract_prior)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior", false]], "abstractrandomdesign (class in smac.random_design)": [[94, "smac.random_design.AbstractRandomDesign", false]], "abstractrandomdesign (class in smac.random_design.abstract_random_design)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign", false]], "abstractrandomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.AbstractRandomForest", false]], "abstractrandomforest (class in smac.model.random_forest.abstract_random_forest)": [[87, "smac.model.random_forest.abstract_random_forest.AbstractRandomForest", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder.abstract_encoder)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder", false]], "abstractrunner (class in smac.runner)": [[114, "smac.runner.AbstractRunner", false]], "abstractrunner (class in smac.runner.abstract_runner)": [[115, "smac.runner.abstract_runner.AbstractRunner", false]], "abstractserialrunner (class in smac.runner.abstract_serial_runner)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner", false]], "acquisition_function (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.acquisition_function", false]], "add() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add", false]], "add() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add", false]], "add_running_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_running_trial", false]], "add_running_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_running_trial", false]], "add_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_trial", false]], "add_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_trial", false]], "algorithmconfigurationfacade (class in smac.facade)": [[42, "smac.facade.AlgorithmConfigurationFacade", false]], "algorithmconfigurationfacade (class in smac.facade.algorithm_configuration_facade)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade", false]], "ask() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.ask", false]], "ask() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.ask", false]], "ask() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.ask", false]], "average_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.average_cost", false]], "average_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.average_cost", false]], "batch() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.batch", false]], "bayesian optimization": [[7, "term-Bayesian-Optimization", true]], "bb": [[7, "term-BB", true]], "black-box": [[7, "term-Black-Box", true]], "blackboxfacade (class in smac.facade)": [[42, "smac.facade.BlackBoxFacade", false]], "blackboxfacade (class in smac.facade.blackbox_facade)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade", false]], "bo": [[7, "term-BO", true]], "bohb": [[7, "term-BOHB", true]], "budget": [[7, "term-Budget", true]], "budget_exhausted (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.budget_exhausted", false]], "calculate_pareto_front() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.calculate_pareto_front", false]], "callback (class in smac.callback)": [[39, "smac.callback.Callback", false]], "callback (class in smac.callback.callback)": [[40, "smac.callback.callback.Callback", false]], "challengerlist (class in smac.acquisition.maximizer.helpers)": [[35, "smac.acquisition.maximizer.helpers.ChallengerList", false]], "check() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.modulus_design.modulusrandomdesign method)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.modulusrandomdesign method)": [[94, "smac.random_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.probability_design.probabilityrandomdesign method)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.check", false]], "check() (smac.random_design.probabilityrandomdesign method)": [[94, "smac.random_design.ProbabilityRandomDesign.check", false]], "cli": [[7, "term-CLI", true]], "close() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.close", false]], "close() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.close", false]], "config_generator (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_generator", false]], "config_generator (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_generator", false]], "config_ids (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.config_ids", false]], "config_ids (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.config_ids", false]], "config_selector (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_selector", false]], "config_selector (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_selector", false]], "configselector (class in smac.main.config_selector)": [[64, "smac.main.config_selector.ConfigSelector", false]], "constantkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel", false]], "constantkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel", false]], "convert_configurations_to_array() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.convert_configurations_to_array", false]], "cosineannealingrandomdesign (class in smac.random_design)": [[94, "smac.random_design.CosineAnnealingRandomDesign", false]], "cosineannealingrandomdesign (class in smac.random_design.annealing_design)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign", false]], "count_available_workers() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.count_available_workers", false]], "count_available_workers() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.count_available_workers", false]], "count_instance_features() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_instance_features", false]], "count_objectives() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_objectives", false]], "cv": [[7, "term-CV", true]], "daskparallelrunner (class in smac.runner)": [[114, "smac.runner.DaskParallelRunner", false]], "daskparallelrunner (class in smac.runner.dask_runner)": [[117, "smac.runner.dask_runner.DaskParallelRunner", false]], "defaultinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.DefaultInitialDesign", false]], "defaultinitialdesign (class in smac.initial_design.default_design)": [[52, "smac.initial_design.default_design.DefaultInitialDesign", false]], "determine_hb() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_HB", false]], "determine_hyperband_for_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_hyperband_for_multifidelity", false]], "differentialevolution (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.DifferentialEvolution", false]], "differentialevolution (class in smac.acquisition.maximizer.differential_evolution)": [[34, "smac.acquisition.maximizer.differential_evolution.DifferentialEvolution", false]], "dynamicmodulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicModulusRandomDesign", false]], "dynamicmodulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicProbabilityRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign", false]], "ei (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EI", false]], "ei (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EI", false]], "eips (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EIPS", false]], "eips (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EIPS", false]], "empty() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.empty", false]], "empty() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.empty", false]], "exists() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.exists", false]], "factorialinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.FactorialInitialDesign", false]], "factorialinitialdesign (class in smac.initial_design.factorial_design)": [[53, "smac.initial_design.factorial_design.FactorialInitialDesign", false]], "finished (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.finished", false]], "finished (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.finished", false]], "firstruncrashedexception": [[114, "smac.runner.FirstRunCrashedException", false], [118, "smac.runner.exceptions.FirstRunCrashedException", false]], "gammaprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.GammaPrior", false]], "gammaprior (class in smac.model.gaussian_process.priors.gamma_prior)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior", false]], "gaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.GaussianProcess", false]], "gaussianprocess (class in smac.model.gaussian_process.gaussian_process)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess", false]], "get_acquisition_function() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_maximizer() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_maximizer", false]], "get_callback() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_callback", false]], "get_callback() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_callback", false]], "get_conditional_hyperparameters() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_conditional_hyperparameters", false]], "get_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config", false]], "get_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config", false]], "get_config_hash() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_config_hash", false]], "get_config_id() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config_id", false]], "get_config_id() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config_id", false]], "get_config_selector() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_config_selector", false]], "get_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs", false]], "get_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs", false]], "get_configs_per_budget() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs_per_budget", false]], "get_configs_per_budget() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs_per_budget", false]], "get_configurations() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_configurations() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_cost", false]], "get_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_cost", false]], "get_gradient() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.tophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophatprior method)": [[79, "smac.model.gaussian_process.priors.TophatPrior.get_gradient", false]], "get_incumbent() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbents", false]], "get_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbents", false]], "get_initial_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_initial_design", false]], "get_initial_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_initial_design", false]], "get_instance_seed_budget_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.instanceseedbudgetkey method)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.instanceseedbudgetkey method)": [[99, "smac.runhistory.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_intensifier() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperband_facade.hyperbandfacade static method)": [[46, "smac.facade.hyperband_facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperbandfacade static method)": [[42, "smac.facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_intensifier", false]], "get_intensifier() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_intensifier", false]], "get_kernel() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_kernel", false]], "get_kernel() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_kernel", false]], "get_log_probability() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_log_probability", false]], "get_logger() (in module smac.utils.logging)": [[125, "smac.utils.logging.get_logger", false]], "get_min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_min_cost", false]], "get_min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_min_cost", false]], "get_model() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_model", false]], "get_model() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_model", false]], "get_multi_objective_algorithm() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_multi_objective_algorithm", false]], "get_n_trials_for_hyperband_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.get_n_trials_for_hyperband_multifidelity", false]], "get_params() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.get_params", false]], "get_params() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.get_params", false]], "get_random_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_random_design", false]], "get_random_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_random_design", false]], "get_rejected_configs() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_rejected_configs() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_runhistory_encoder() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_runhistory_encoder", false]], "get_running_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_configs", false]], "get_running_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_configs", false]], "get_running_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_trials", false]], "get_running_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_trials", false]], "get_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.get_state", false]], "get_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.get_state", false]], "get_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_state", false]], "get_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_state", false]], "get_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_trials", false]], "get_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_trials", false]], "get_trials_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_trials_of_interest", false]], "get_types() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_types", false]], "gp": [[7, "term-GP", true]], "gp-mcmc": [[7, "term-GP-MCMC", true]], "hammingkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.HammingKernel", false]], "hammingkernel (class in smac.model.gaussian_process.kernels.hamming_kernel)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel", false]], "has_conditions (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.has_conditions", false]], "has_conditions (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.has_conditions", false]], "has_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.has_config", false]], "has_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.has_config", false]], "hb": [[7, "term-HB", true]], "horseshoeprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior", false]], "horseshoeprior (class in smac.model.gaussian_process.priors.horseshoe_prior)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior", false]], "hp": [[7, "term-HP", true]], "hyperband": [[7, "term-Hyperband", true]], "hyperband (class in smac.intensifier)": [[57, "smac.intensifier.Hyperband", false]], "hyperband (class in smac.intensifier.hyperband)": [[59, "smac.intensifier.hyperband.Hyperband", false]], "hyperbandfacade (class in smac.facade)": [[42, "smac.facade.HyperbandFacade", false]], "hyperbandfacade (class in smac.facade.hyperband_facade)": [[46, "smac.facade.hyperband_facade.HyperbandFacade", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.hyperparameter_length_scale", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.hyperparameter_length_scale", false]], "hyperparameteroptimizationfacade (class in smac.facade)": [[42, "smac.facade.HyperparameterOptimizationFacade", false]], "hyperparameteroptimizationfacade (class in smac.facade.hyperparameter_optimization_facade)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade", false]], "hyperparameters (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.hyperparameters", false]], "hyperparameters (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.hyperparameters", false]], "ids_config (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.ids_config", false]], "ids_config (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.ids_config", false]], "incremental_update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.incremental_update_cost", false]], "incremental_update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.incremental_update_cost", false]], "incumbent": [[7, "term-Incumbent", true]], "incumbents_changed (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.incumbents_changed", false]], "incumbents_changed (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.incumbents_changed", false]], "instances": [[7, "term-Instances", true]], "instanceseedbudgetkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedBudgetKey", false]], "instanceseedbudgetkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey", false]], "instanceseedkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedKey", false]], "instanceseedkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedKey", false]], "integratedacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction", false]], "integratedacquisitionfunction (class in smac.acquisition.function.integrated_acquisition_function)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction", false]], "intensification": [[7, "term-Intensification", true]], "intensifier (class in smac.intensifier)": [[57, "smac.intensifier.Intensifier", false]], "intensifier (class in smac.intensifier.intensifier)": [[61, "smac.intensifier.intensifier.Intensifier", false]], "intensifier (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.intensifier", false]], "intensifier (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.intensifier", false]], "intensifier (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.intensifier", false]], "is_running() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.is_running", false]], "is_running() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.is_running", false]], "is_running() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.is_running", false]], "iter_results() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.iter_results", false]], "iter_results() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.iter_results", false]], "iter_results() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.iter_results", false]], "latinhypercubeinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.LatinHypercubeInitialDesign", false]], "latinhypercubeinitialdesign (class in smac.initial_design.latin_hypercube_design)": [[54, "smac.initial_design.latin_hypercube_design.LatinHypercubeInitialDesign", false]], "lcb (class in smac.acquisition.function)": [[24, "smac.acquisition.function.LCB", false]], "lcb (class in smac.acquisition.function.confidence_bound)": [[26, "smac.acquisition.function.confidence_bound.LCB", false]], "load() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.load", false]], "load() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.load", false]], "load() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.load", false]], "load() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.load", false]], "load() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.load", false]], "load() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.load", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer.local_and_random_search)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch", false]], "localsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalSearch", false]], "localsearch (class in smac.acquisition.maximizer.local_search)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch", false]], "lognormalprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior", false]], "lognormalprior (class in smac.model.gaussian_process.priors.log_normal_prior)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior", false]], "make_serializable() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.make_serializable", false]], "maternkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.MaternKernel", false]], "maternkernel (class in smac.model.gaussian_process.kernels.matern_kernel)": [[75, "smac.model.gaussian_process.kernels.matern_kernel.MaternKernel", false]], "maximize() (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer method)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.maximize", false]], "maximize() (smac.acquisition.maximizer.abstractacquisitionmaximizer method)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.maximize", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process.mcmc_gaussian_process)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess", false]], "meanaggregationstrategy (class in smac.multi_objective)": [[90, "smac.multi_objective.MeanAggregationStrategy", false]], "meanaggregationstrategy (class in smac.multi_objective.aggregation_strategy)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy", false]], "meta (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.meta", false]], "meta (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.meta", false]], "meta (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.meta", false]], "meta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.meta", false]], "meta (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.meta", false]], "meta (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.meta", false]], "meta (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.local_search.localsearch property)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch.meta", false]], "meta (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.localsearch property)": [[32, "smac.acquisition.maximizer.LocalSearch.meta", false]], "meta (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.meta", false]], "meta (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.meta", false]], "meta (smac.initial_design.abstract_initial_design.abstractinitialdesign property)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.meta", false]], "meta (smac.initial_design.abstractinitialdesign property)": [[50, "smac.initial_design.AbstractInitialDesign.meta", false]], "meta (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.meta", false]], "meta (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.meta", false]], "meta (smac.main.config_selector.configselector property)": [[64, "smac.main.config_selector.ConfigSelector.meta", false]], "meta (smac.model.abstract_model.abstractmodel property)": [[67, "smac.model.abstract_model.AbstractModel.meta", false]], "meta (smac.model.abstractmodel property)": [[66, "smac.model.AbstractModel.meta", false]], "meta (smac.model.gaussian_process.abstract_gaussian_process.abstractgaussianprocess property)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.abstractgaussianprocess property)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussian_process.gaussianprocess property)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussianprocess property)": [[68, "smac.model.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.priors.abstract_prior.abstractprior property)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gamma_prior.gammaprior property)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gammaprior property)": [[79, "smac.model.gaussian_process.priors.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoe_prior.horseshoeprior property)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoeprior property)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.log_normal_prior.lognormalprior property)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.lognormalprior property)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.softtophatprior property)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.softtophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.tophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophatprior property)": [[79, "smac.model.gaussian_process.priors.TophatPrior.meta", false]], "meta (smac.model.random_forest.random_forest.randomforest property)": [[88, "smac.model.random_forest.random_forest.RandomForest.meta", false]], "meta (smac.model.random_forest.randomforest property)": [[86, "smac.model.random_forest.RandomForest.meta", false]], "meta (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm property)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.abstractmultiobjectivealgorithm property)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.aggregation_strategy.meanaggregationstrategy property)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.meanaggregationstrategy property)": [[90, "smac.multi_objective.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.parego property)": [[90, "smac.multi_objective.ParEGO.meta", false]], "meta (smac.multi_objective.parego.parego property)": [[93, "smac.multi_objective.parego.ParEGO.meta", false]], "meta (smac.random_design.abstract_random_design.abstractrandomdesign property)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.abstractrandomdesign property)": [[94, "smac.random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.annealing_design.cosineannealingrandomdesign property)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.cosineannealingrandomdesign property)": [[94, "smac.random_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.dynamicmodulusrandomdesign property)": [[94, "smac.random_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.dynamicprobabilityrandomdesign property)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.dynamicmodulusrandomdesign property)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.modulusrandomdesign property)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.modulusrandomdesign property)": [[94, "smac.random_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.probability_design.dynamicprobabilityrandomdesign property)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probability_design.probabilityrandomdesign property)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probabilityrandomdesign property)": [[94, "smac.random_design.ProbabilityRandomDesign.meta", false]], "meta (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runner.abstract_runner.abstractrunner property)": [[115, "smac.runner.abstract_runner.AbstractRunner.meta", false]], "meta (smac.runner.abstractrunner property)": [[114, "smac.runner.AbstractRunner.meta", false]], "meta (smac.runner.target_function_runner.targetfunctionrunner property)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.meta", false]], "meta (smac.runner.target_function_script_runner.targetfunctionscriptrunner property)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.meta", false]], "meta (smac.runner.targetfunctionrunner property)": [[114, "smac.runner.TargetFunctionRunner.meta", false]], "meta (smac.scenario.scenario property)": [[121, "smac.scenario.Scenario.meta", false]], "metadatacallback (class in smac.callback)": [[39, "smac.callback.MetadataCallback", false]], "metadatacallback (class in smac.callback.metadata_callback)": [[41, "smac.callback.metadata_callback.MetadataCallback", false]], "mf": [[7, "term-MF", true]], "min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.min_cost", false]], "min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.min_cost", false]], "model (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.model", false]], "model (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.model", false]], "models (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.multi_objective_model.multiobjectivemodel property)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.models", false]], "models (smac.model.multiobjectivemodel property)": [[66, "smac.model.MultiObjectiveModel.models", false]], "module": [[23, "module-smac.acquisition", false], [24, "module-smac.acquisition.function", false], [25, "module-smac.acquisition.function.abstract_acquisition_function", false], [26, "module-smac.acquisition.function.confidence_bound", false], [27, "module-smac.acquisition.function.expected_improvement", false], [28, "module-smac.acquisition.function.integrated_acquisition_function", false], [29, "module-smac.acquisition.function.prior_acqusition_function", false], [30, "module-smac.acquisition.function.probability_improvement", false], [31, "module-smac.acquisition.function.thompson", false], [32, "module-smac.acquisition.maximizer", false], [33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false], [34, "module-smac.acquisition.maximizer.differential_evolution", false], [35, "module-smac.acquisition.maximizer.helpers", false], [36, "module-smac.acquisition.maximizer.local_and_random_search", false], [37, "module-smac.acquisition.maximizer.local_search", false], [38, "module-smac.acquisition.maximizer.random_search", false], [39, "module-smac.callback", false], [40, "module-smac.callback.callback", false], [41, "module-smac.callback.metadata_callback", false], [42, "module-smac.facade", false], [43, "module-smac.facade.abstract_facade", false], [44, "module-smac.facade.algorithm_configuration_facade", false], [45, "module-smac.facade.blackbox_facade", false], [46, "module-smac.facade.hyperband_facade", false], [47, "module-smac.facade.hyperparameter_optimization_facade", false], [48, "module-smac.facade.multi_fidelity_facade", false], [49, "module-smac.facade.random_facade", false], [50, "module-smac.initial_design", false], [51, "module-smac.initial_design.abstract_initial_design", false], [52, "module-smac.initial_design.default_design", false], [53, "module-smac.initial_design.factorial_design", false], [54, "module-smac.initial_design.latin_hypercube_design", false], [55, "module-smac.initial_design.random_design", false], [56, "module-smac.initial_design.sobol_design", false], [57, "module-smac.intensifier", false], [58, "module-smac.intensifier.abstract_intensifier", false], [59, "module-smac.intensifier.hyperband", false], [60, "module-smac.intensifier.hyperband_utils", false], [61, "module-smac.intensifier.intensifier", false], [62, "module-smac.intensifier.successive_halving", false], [63, "module-smac.main", false], [64, "module-smac.main.config_selector", false], [65, "module-smac.main.smbo", false], [66, "module-smac.model", false], [67, "module-smac.model.abstract_model", false], [68, "module-smac.model.gaussian_process", false], [69, "module-smac.model.gaussian_process.abstract_gaussian_process", false], [70, "module-smac.model.gaussian_process.gaussian_process", false], [71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false], [72, "module-smac.model.gaussian_process.kernels", false], [73, "module-smac.model.gaussian_process.kernels.base_kernels", false], [74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false], [75, "module-smac.model.gaussian_process.kernels.matern_kernel", false], [76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false], [77, "module-smac.model.gaussian_process.kernels.white_kernel", false], [78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false], [79, "module-smac.model.gaussian_process.priors", false], [80, "module-smac.model.gaussian_process.priors.abstract_prior", false], [81, "module-smac.model.gaussian_process.priors.gamma_prior", false], [82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false], [83, "module-smac.model.gaussian_process.priors.log_normal_prior", false], [84, "module-smac.model.gaussian_process.priors.tophat_prior", false], [85, "module-smac.model.multi_objective_model", false], [86, "module-smac.model.random_forest", false], [87, "module-smac.model.random_forest.abstract_random_forest", false], [88, "module-smac.model.random_forest.random_forest", false], [89, "module-smac.model.random_model", false], [90, "module-smac.multi_objective", false], [91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false], [92, "module-smac.multi_objective.aggregation_strategy", false], [93, "module-smac.multi_objective.parego", false], [94, "module-smac.random_design", false], [95, "module-smac.random_design.abstract_random_design", false], [96, "module-smac.random_design.annealing_design", false], [97, "module-smac.random_design.modulus_design", false], [98, "module-smac.random_design.probability_design", false], [99, "module-smac.runhistory", false], [100, "module-smac.runhistory.dataclasses", false], [101, "module-smac.runhistory.encoder", false], [102, "module-smac.runhistory.encoder.abstract_encoder", false], [103, "module-smac.runhistory.encoder.boing_encoder", false], [104, "module-smac.runhistory.encoder.eips_encoder", false], [105, "module-smac.runhistory.encoder.encoder", false], [106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false], [107, "module-smac.runhistory.encoder.log_encoder", false], [108, "module-smac.runhistory.encoder.log_scaled_encoder", false], [109, "module-smac.runhistory.encoder.scaled_encoder", false], [110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false], [111, "module-smac.runhistory.enumerations", false], [112, "module-smac.runhistory.errors", false], [113, "module-smac.runhistory.runhistory", false], [114, "module-smac.runner", false], [115, "module-smac.runner.abstract_runner", false], [116, "module-smac.runner.abstract_serial_runner", false], [117, "module-smac.runner.dask_runner", false], [118, "module-smac.runner.exceptions", false], [119, "module-smac.runner.target_function_runner", false], [120, "module-smac.runner.target_function_script_runner", false], [121, "module-smac.scenario", false], [122, "module-smac.utils", false], [123, "module-smac.utils.configspace", false], [124, "module-smac.utils.data_structures", false], [125, "module-smac.utils.logging", false], [126, "module-smac.utils.multi_objective", false], [127, "module-smac.utils.pareto_front", false], [128, "module-smac.utils.subspaces", false], [129, "module-smac.utils.subspaces.boing_subspace", false], [130, "module-smac.utils.subspaces.turbo_subspace", false]], "modulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ModulusRandomDesign", false]], "modulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign", false]], "multi-fidelity": [[7, "term-Multi-Fidelity", true]], "multi-objective": [[7, "term-Multi-Objective", true]], "multi_objective_algorithm (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.multi_objective_algorithm", false]], "multifidelityfacade (class in smac.facade)": [[42, "smac.facade.MultiFidelityFacade", false]], "multifidelityfacade (class in smac.facade.multi_fidelity_facade)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade", false]], "multiobjectivemodel (class in smac.model)": [[66, "smac.model.MultiObjectiveModel", false]], "multiobjectivemodel (class in smac.model.multi_objective_model)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel", false]], "n_dims (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.n_dims", false]], "n_dims (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.n_dims", false]], "name (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.name", false]], "name (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.name", false]], "name (smac.acquisition.function.eips property)": [[24, "smac.acquisition.function.EIPS.name", false]], "name (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.name", false]], "name (smac.acquisition.function.expected_improvement.eips property)": [[27, "smac.acquisition.function.expected_improvement.EIPS.name", false]], "name (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.name", false]], "name (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.name", false]], "name (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.name", false]], "name (smac.acquisition.function.thompson.ts property)": [[31, "smac.acquisition.function.thompson.TS.name", false]], "name (smac.acquisition.function.ts property)": [[24, "smac.acquisition.function.TS.name", false]], "next_iteration() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.next_iteration", false]], "normalize_costs() (in module smac.utils.multi_objective)": [[126, "smac.utils.multi_objective.normalize_costs", false]], "notevaluatederror": [[112, "smac.runhistory.errors.NotEvaluatedError", false]], "objective": [[7, "term-Objective", true]], "objective_bounds (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.objective_bounds", false]], "objective_bounds (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.objective_bounds", false]], "on_ask_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_end", false]], "on_ask_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_end", false]], "on_ask_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_start", false]], "on_ask_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_start", false]], "on_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_end", false]], "on_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_end", false]], "on_iteration_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_end", false]], "on_iteration_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_end", false]], "on_iteration_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_start", false]], "on_iteration_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_start", false]], "on_next_configurations_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_start", false]], "on_next_configurations_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_start", false]], "on_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_start", false]], "on_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_start", false]], "on_start() (smac.callback.metadata_callback.metadatacallback method)": [[41, "smac.callback.metadata_callback.MetadataCallback.on_start", false]], "on_start() (smac.callback.metadatacallback method)": [[39, "smac.callback.MetadataCallback.on_start", false]], "on_tell_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_end", false]], "on_tell_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_end", false]], "on_tell_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_start", false]], "on_tell_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_start", false]], "operate_on (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.operate_on", false]], "operate_on (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.operate_on", false]], "optimize() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimize", false]], "optimize() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.optimize", false]], "optimize() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.optimize", false]], "optimizer (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimizer", false]], "optimizer (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.optimizer", false]], "parego (class in smac.multi_objective)": [[90, "smac.multi_objective.ParEGO", false]], "parego (class in smac.multi_objective.parego)": [[93, "smac.multi_objective.parego.ParEGO", false]], "pi (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PI", false]], "pi (class in smac.acquisition.function.probability_improvement)": [[30, "smac.acquisition.function.probability_improvement.PI", false]], "predict() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict", false]], "predict() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict", false]], "predict_marginalized() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multi_objective_model.multiobjectivemodel method)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multiobjectivemodel method)": [[66, "smac.model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.random_forest.randomforest method)": [[88, "smac.model.random_forest.random_forest.RandomForest.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.randomforest method)": [[86, "smac.model.random_forest.RandomForest.predict_marginalized", false]], "print_config_changes() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.print_config_changes", false]], "print_hyperband_summary() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.print_hyperband_summary", false]], "print_stats() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.print_stats", false]], "print_tracker() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.print_tracker", false]], "print_tracker() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.print_tracker", false]], "prior (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.prior", false]], "prior (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.prior", false]], "prioracquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PriorAcquisitionFunction", false]], "prioracquisitionfunction (class in smac.acquisition.function.prior_acqusition_function)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction", false]], "probabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ProbabilityRandomDesign", false]], "probabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign", false]], "productkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ProductKernel", false]], "productkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel", false]], "random online adaptive racing": [[7, "term-Random-Online-Adaptive-Racing", true]], "randomfacade (class in smac.facade)": [[42, "smac.facade.RandomFacade", false]], "randomfacade (class in smac.facade.random_facade)": [[49, "smac.facade.random_facade.RandomFacade", false]], "randomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.RandomForest", false]], "randomforest (class in smac.model.random_forest.random_forest)": [[88, "smac.model.random_forest.random_forest.RandomForest", false]], "randominitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.RandomInitialDesign", false]], "randominitialdesign (class in smac.initial_design.random_design)": [[55, "smac.initial_design.random_design.RandomInitialDesign", false]], "randommodel (class in smac.model)": [[66, "smac.model.RandomModel", false]], "randommodel (class in smac.model.random_model)": [[89, "smac.model.random_model.RandomModel", false]], "randomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.RandomSearch", false]], "randomsearch (class in smac.acquisition.maximizer.random_search)": [[38, "smac.acquisition.maximizer.random_search.RandomSearch", false]], "rbfkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.RBFKernel", false]], "rbfkernel (class in smac.model.gaussian_process.kernels.rbf_kernel)": [[76, "smac.model.gaussian_process.kernels.rbf_kernel.RBFKernel", false]], "recursively_compare_dicts() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.recursively_compare_dicts", false]], "register_callback() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.register_callback", false]], "remaining_cputime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_cputime", false]], "remaining_trials (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_trials", false]], "remaining_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_walltime", false]], "reset() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.reset", false]], "reset() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.reset", false]], "reset() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.reset", false]], "reset() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.reset", false]], "reset() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.reset", false]], "reset() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.reset", false]], "reset() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.reset", false]], "rf": [[7, "term-RF", true]], "roar": [[7, "term-ROAR", true]], "run() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run", false]], "run() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run", false]], "run() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.run", false]], "run() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.run", false]], "run() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.run", false]], "run() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.run", false]], "run() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.run", false]], "run_wrapper() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run_wrapper", false]], "run_wrapper() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run_wrapper", false]], "runhistory (class in smac.runhistory)": [[99, "smac.runhistory.RunHistory", false]], "runhistory (class in smac.runhistory.runhistory)": [[113, "smac.runhistory.runhistory.RunHistory", false]], "runhistory (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.runhistory", false]], "runhistory (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.runhistory", false]], "runhistory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.runhistory", false]], "runhistory (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistory (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder.eips_encoder)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder.encoder)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder.inverse_scaled_encoder)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder.log_encoder)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder.log_scaled_encoder)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder.scaled_encoder)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder.sqrt_scaled_encoder)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder", false]], "running (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.running", false]], "running (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.running", false]], "sample_from_prior() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.sample_from_prior", false]], "sample_functions() (smac.model.gaussian_process.gaussian_process.gaussianprocess method)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.sample_functions", false]], "sample_functions() (smac.model.gaussian_process.gaussianprocess method)": [[68, "smac.model.gaussian_process.GaussianProcess.sample_functions", false]], "save() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.save", false]], "save() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.save", false]], "save() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.save", false]], "save() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.save", false]], "save() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.save", false]], "save() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.save", false]], "scenario (class in smac.scenario)": [[121, "smac.scenario.Scenario", false]], "scenario (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.scenario", false]], "scenario (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.scenario", false]], "select_configurations() (smac.initial_design.abstract_initial_design.abstractinitialdesign method)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.select_configurations", false]], "select_configurations() (smac.initial_design.abstractinitialdesign method)": [[50, "smac.initial_design.AbstractInitialDesign.select_configurations", false]], "set_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.set_state", false]], "set_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.set_state", false]], "set_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.set_state", false]], "set_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.set_state", false]], "setup_logging() (in module smac.utils.logging)": [[125, "smac.utils.logging.setup_logging", false]], "smac": [[7, "term-SMAC", true]], "smac.acquisition": [[23, "module-smac.acquisition", false]], "smac.acquisition.function": [[24, "module-smac.acquisition.function", false]], "smac.acquisition.function.abstract_acquisition_function": [[25, "module-smac.acquisition.function.abstract_acquisition_function", false]], "smac.acquisition.function.confidence_bound": [[26, "module-smac.acquisition.function.confidence_bound", false]], "smac.acquisition.function.expected_improvement": [[27, "module-smac.acquisition.function.expected_improvement", false]], "smac.acquisition.function.integrated_acquisition_function": [[28, "module-smac.acquisition.function.integrated_acquisition_function", false]], "smac.acquisition.function.prior_acqusition_function": [[29, "module-smac.acquisition.function.prior_acqusition_function", false]], "smac.acquisition.function.probability_improvement": [[30, "module-smac.acquisition.function.probability_improvement", false]], "smac.acquisition.function.thompson": [[31, "module-smac.acquisition.function.thompson", false]], "smac.acquisition.maximizer": [[32, "module-smac.acquisition.maximizer", false]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false]], "smac.acquisition.maximizer.differential_evolution": [[34, "module-smac.acquisition.maximizer.differential_evolution", false]], "smac.acquisition.maximizer.helpers": [[35, "module-smac.acquisition.maximizer.helpers", false]], "smac.acquisition.maximizer.local_and_random_search": [[36, "module-smac.acquisition.maximizer.local_and_random_search", false]], "smac.acquisition.maximizer.local_search": [[37, "module-smac.acquisition.maximizer.local_search", false]], "smac.acquisition.maximizer.random_search": [[38, "module-smac.acquisition.maximizer.random_search", false]], "smac.callback": [[39, "module-smac.callback", false]], "smac.callback.callback": [[40, "module-smac.callback.callback", false]], "smac.callback.metadata_callback": [[41, "module-smac.callback.metadata_callback", false]], "smac.facade": [[42, "module-smac.facade", false]], "smac.facade.abstract_facade": [[43, "module-smac.facade.abstract_facade", false]], "smac.facade.algorithm_configuration_facade": [[44, "module-smac.facade.algorithm_configuration_facade", false]], "smac.facade.blackbox_facade": [[45, "module-smac.facade.blackbox_facade", false]], "smac.facade.hyperband_facade": [[46, "module-smac.facade.hyperband_facade", false]], "smac.facade.hyperparameter_optimization_facade": [[47, "module-smac.facade.hyperparameter_optimization_facade", false]], "smac.facade.multi_fidelity_facade": [[48, "module-smac.facade.multi_fidelity_facade", false]], "smac.facade.random_facade": [[49, "module-smac.facade.random_facade", false]], "smac.initial_design": [[50, "module-smac.initial_design", false]], "smac.initial_design.abstract_initial_design": [[51, "module-smac.initial_design.abstract_initial_design", false]], "smac.initial_design.default_design": [[52, "module-smac.initial_design.default_design", false]], "smac.initial_design.factorial_design": [[53, "module-smac.initial_design.factorial_design", false]], "smac.initial_design.latin_hypercube_design": [[54, "module-smac.initial_design.latin_hypercube_design", false]], "smac.initial_design.random_design": [[55, "module-smac.initial_design.random_design", false]], "smac.initial_design.sobol_design": [[56, "module-smac.initial_design.sobol_design", false]], "smac.intensifier": [[57, "module-smac.intensifier", false]], "smac.intensifier.abstract_intensifier": [[58, "module-smac.intensifier.abstract_intensifier", false]], "smac.intensifier.hyperband": [[59, "module-smac.intensifier.hyperband", false]], "smac.intensifier.hyperband_utils": [[60, "module-smac.intensifier.hyperband_utils", false]], "smac.intensifier.intensifier": [[61, "module-smac.intensifier.intensifier", false]], "smac.intensifier.successive_halving": [[62, "module-smac.intensifier.successive_halving", false]], "smac.main": [[63, "module-smac.main", false]], "smac.main.config_selector": [[64, "module-smac.main.config_selector", false]], "smac.main.smbo": [[65, "module-smac.main.smbo", false]], "smac.model": [[66, "module-smac.model", false]], "smac.model.abstract_model": [[67, "module-smac.model.abstract_model", false]], "smac.model.gaussian_process": [[68, "module-smac.model.gaussian_process", false]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, "module-smac.model.gaussian_process.abstract_gaussian_process", false]], "smac.model.gaussian_process.gaussian_process": [[70, "module-smac.model.gaussian_process.gaussian_process", false]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false]], "smac.model.gaussian_process.kernels": [[72, "module-smac.model.gaussian_process.kernels", false]], "smac.model.gaussian_process.kernels.base_kernels": [[73, "module-smac.model.gaussian_process.kernels.base_kernels", false]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, "module-smac.model.gaussian_process.kernels.matern_kernel", false]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false]], "smac.model.gaussian_process.kernels.white_kernel": [[77, "module-smac.model.gaussian_process.kernels.white_kernel", false]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false]], "smac.model.gaussian_process.priors": [[79, "module-smac.model.gaussian_process.priors", false]], "smac.model.gaussian_process.priors.abstract_prior": [[80, "module-smac.model.gaussian_process.priors.abstract_prior", false]], "smac.model.gaussian_process.priors.gamma_prior": [[81, "module-smac.model.gaussian_process.priors.gamma_prior", false]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, "module-smac.model.gaussian_process.priors.log_normal_prior", false]], "smac.model.gaussian_process.priors.tophat_prior": [[84, "module-smac.model.gaussian_process.priors.tophat_prior", false]], "smac.model.multi_objective_model": [[85, "module-smac.model.multi_objective_model", false]], "smac.model.random_forest": [[86, "module-smac.model.random_forest", false]], "smac.model.random_forest.abstract_random_forest": [[87, "module-smac.model.random_forest.abstract_random_forest", false]], "smac.model.random_forest.random_forest": [[88, "module-smac.model.random_forest.random_forest", false]], "smac.model.random_model": [[89, "module-smac.model.random_model", false]], "smac.multi_objective": [[90, "module-smac.multi_objective", false]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false]], "smac.multi_objective.aggregation_strategy": [[92, "module-smac.multi_objective.aggregation_strategy", false]], "smac.multi_objective.parego": [[93, "module-smac.multi_objective.parego", false]], "smac.random_design": [[94, "module-smac.random_design", false]], "smac.random_design.abstract_random_design": [[95, "module-smac.random_design.abstract_random_design", false]], "smac.random_design.annealing_design": [[96, "module-smac.random_design.annealing_design", false]], "smac.random_design.modulus_design": [[97, "module-smac.random_design.modulus_design", false]], "smac.random_design.probability_design": [[98, "module-smac.random_design.probability_design", false]], "smac.runhistory": [[99, "module-smac.runhistory", false]], "smac.runhistory.dataclasses": [[100, "module-smac.runhistory.dataclasses", false]], "smac.runhistory.encoder": [[101, "module-smac.runhistory.encoder", false]], "smac.runhistory.encoder.abstract_encoder": [[102, "module-smac.runhistory.encoder.abstract_encoder", false]], "smac.runhistory.encoder.boing_encoder": [[103, "module-smac.runhistory.encoder.boing_encoder", false]], "smac.runhistory.encoder.eips_encoder": [[104, "module-smac.runhistory.encoder.eips_encoder", false]], "smac.runhistory.encoder.encoder": [[105, "module-smac.runhistory.encoder.encoder", false]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false]], "smac.runhistory.encoder.log_encoder": [[107, "module-smac.runhistory.encoder.log_encoder", false]], "smac.runhistory.encoder.log_scaled_encoder": [[108, "module-smac.runhistory.encoder.log_scaled_encoder", false]], "smac.runhistory.encoder.scaled_encoder": [[109, "module-smac.runhistory.encoder.scaled_encoder", false]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false]], "smac.runhistory.enumerations": [[111, "module-smac.runhistory.enumerations", false]], "smac.runhistory.errors": [[112, "module-smac.runhistory.errors", false]], "smac.runhistory.runhistory": [[113, "module-smac.runhistory.runhistory", false]], "smac.runner": [[114, "module-smac.runner", false]], "smac.runner.abstract_runner": [[115, "module-smac.runner.abstract_runner", false]], "smac.runner.abstract_serial_runner": [[116, "module-smac.runner.abstract_serial_runner", false]], "smac.runner.dask_runner": [[117, "module-smac.runner.dask_runner", false]], "smac.runner.exceptions": [[118, "module-smac.runner.exceptions", false]], "smac.runner.target_function_runner": [[119, "module-smac.runner.target_function_runner", false]], "smac.runner.target_function_script_runner": [[120, "module-smac.runner.target_function_script_runner", false]], "smac.scenario": [[121, "module-smac.scenario", false]], "smac.utils": [[122, "module-smac.utils", false]], "smac.utils.configspace": [[123, "module-smac.utils.configspace", false]], "smac.utils.data_structures": [[124, "module-smac.utils.data_structures", false]], "smac.utils.logging": [[125, "module-smac.utils.logging", false]], "smac.utils.multi_objective": [[126, "module-smac.utils.multi_objective", false]], "smac.utils.pareto_front": [[127, "module-smac.utils.pareto_front", false]], "smac.utils.subspaces": [[128, "module-smac.utils.subspaces", false]], "smac.utils.subspaces.boing_subspace": [[129, "module-smac.utils.subspaces.boing_subspace", false]], "smac.utils.subspaces.turbo_subspace": [[130, "module-smac.utils.subspaces.turbo_subspace", false]], "smbo": [[7, "term-SMBO", true]], "smbo (class in smac.main.smbo)": [[65, "smac.main.smbo.SMBO", false]], "sobolinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.SobolInitialDesign", false]], "sobolinitialdesign (class in smac.initial_design.sobol_design)": [[56, "smac.initial_design.sobol_design.SobolInitialDesign", false]], "softtophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior", false]], "softtophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior", false]], "sort_by_crowding_distance() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.sort_by_crowding_distance", false]], "statustype (class in smac.runhistory)": [[99, "smac.runhistory.StatusType", false]], "statustype (class in smac.runhistory.enumerations)": [[111, "smac.runhistory.enumerations.StatusType", false]], "submit_trial() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.submit_trial", false]], "submit_trial() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.submit_trial", false]], "submit_trial() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.submit_trial", false]], "submitted (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.submitted", false]], "submitted (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.submitted", false]], "successivehalving (class in smac.intensifier)": [[57, "smac.intensifier.SuccessiveHalving", false]], "successivehalving (class in smac.intensifier.successive_halving)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving", false]], "sum_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.sum_cost", false]], "sum_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.sum_cost", false]], "sumkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.SumKernel", false]], "sumkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel", false]], "target function": [[7, "term-Target-Function", true]], "targetalgorithmabortexception": [[114, "smac.runner.TargetAlgorithmAbortException", false], [118, "smac.runner.exceptions.TargetAlgorithmAbortException", false]], "targetfunctionrunner (class in smac.runner)": [[114, "smac.runner.TargetFunctionRunner", false]], "targetfunctionrunner (class in smac.runner.target_function_runner)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner", false]], "targetfunctionscriptrunner (class in smac.runner.target_function_script_runner)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner", false]], "tell() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.tell", false]], "tell() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.tell", false]], "tell() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.tell", false]], "tophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.TophatPrior", false]], "tophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior", false]], "train() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.train", false]], "train() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.train", false]], "trajectory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.trajectory", false]], "trajectory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.trajectory", false]], "trajectoryitem (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrajectoryItem", false]], "transform() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform", false]], "transform() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform", false]], "transform_response_values() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.eips_encoder.runhistoryeipsencoder method)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.encoder.runhistoryencoder method)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.inverse_scaled_encoder.runhistoryinversescaledencoder method)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_encoder.runhistorylogencoder method)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_scaled_encoder.runhistorylogscaledencoder method)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryeipsencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryinversescaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorysqrtscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.scaled_encoder.runhistoryscaledencoder method)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.sqrt_scaled_encoder.runhistorysqrtscaledencoder method)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "trial": [[7, "term-Trial", true]], "trialinfo (class in smac.runhistory)": [[99, "smac.runhistory.TrialInfo", false]], "trialinfo (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialInfo", false]], "trialkey (class in smac.runhistory)": [[99, "smac.runhistory.TrialKey", false]], "trialkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialKey", false]], "trialvalue (class in smac.runhistory)": [[99, "smac.runhistory.TrialValue", false]], "trialvalue (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialValue", false]], "ts (class in smac.acquisition.function)": [[24, "smac.acquisition.function.TS", false]], "ts (class in smac.acquisition.function.thompson)": [[31, "smac.acquisition.function.thompson.TS", false]], "update() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.update", false]], "update() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.update", false]], "update() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update", false]], "update() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update", false]], "update_acquisition_function() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_acquisition_function", false]], "update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_cost", false]], "update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_cost", false]], "update_costs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_costs", false]], "update_costs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_costs", false]], "update_from_json() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_from_json", false]], "update_from_json() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_from_json", false]], "update_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.update_incumbents", false]], "update_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.update_incumbents", false]], "update_model() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_model", false]], "update_on_iteration_start() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.update_on_iteration_start", false]], "used_target_function_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_target_function_walltime", false]], "used_walltime (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_walltime", false]], "uses_budgets (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_budgets", false]], "uses_budgets (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_budgets", false]], "uses_instances (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_instances", false]], "uses_instances (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_instances", false]], "uses_seeds (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_seeds", false]], "uses_seeds (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_seeds", false]], "validate() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.validate", false]], "validate() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.validate", false]], "validate() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.validate", false]], "wait() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.wait", false]], "wait() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.wait", false]], "wait() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.wait", false]], "wait() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.wait", false]], "wait() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.wait", false]], "whitekernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.WhiteKernel", false]], "whitekernel (class in smac.model.gaussian_process.kernels.white_kernel)": [[77, "smac.model.gaussian_process.kernels.white_kernel.WhiteKernel", false]]}, "objects": {"smac": [[23, 0, 0, "-", "acquisition"], [39, 0, 0, "-", "callback"], [42, 0, 0, "-", "facade"], [50, 0, 0, "-", "initial_design"], [57, 0, 0, "-", "intensifier"], [63, 0, 0, "-", "main"], [66, 0, 0, "-", "model"], [90, 0, 0, "-", "multi_objective"], [94, 0, 0, "-", "random_design"], [99, 0, 0, "-", "runhistory"], [114, 0, 0, "-", "runner"], [121, 0, 0, "-", "scenario"], [122, 0, 0, "-", "utils"]], "smac.acquisition": [[24, 0, 0, "-", "function"], [32, 0, 0, "-", "maximizer"]], "smac.acquisition.function": [[24, 1, 1, "", "AbstractAcquisitionFunction"], [24, 1, 1, "", "EI"], [24, 1, 1, "", "EIPS"], [24, 1, 1, "", "IntegratedAcquisitionFunction"], [24, 1, 1, "", "LCB"], [24, 1, 1, "", "PI"], [24, 1, 1, "", "PriorAcquisitionFunction"], [24, 1, 1, "", "TS"], [25, 0, 0, "-", "abstract_acquisition_function"], [26, 0, 0, "-", "confidence_bound"], [27, 0, 0, "-", "expected_improvement"], [28, 0, 0, "-", "integrated_acquisition_function"], [29, 0, 0, "-", "prior_acqusition_function"], [30, 0, 0, "-", "probability_improvement"], [31, 0, 0, "-", "thompson"]], "smac.acquisition.function.AbstractAcquisitionFunction": [[24, 2, 1, "", "__call__"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"], [24, 2, 1, "", "update"]], "smac.acquisition.function.EI": [[24, 4, 1, "", "_eta"], [24, 4, 1, "", "_log"], [24, 4, 1, "", "_xi"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.EIPS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.IntegratedAcquisitionFunction": [[24, 4, 1, "", "_acquisition_function"], [24, 4, 1, "", "_eta"], [24, 4, 1, "", "_functions"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.LCB": [[24, 4, 1, "", "_beta"], [24, 4, 1, "", "_num_data"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PI": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PriorAcquisitionFunction": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"]], "smac.acquisition.function.TS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.abstract_acquisition_function": [[25, 1, 1, "", "AbstractAcquisitionFunction"]], "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction": [[25, 2, 1, "", "__call__"], [25, 3, 1, "", "meta"], [25, 3, 1, "", "model"], [25, 3, 1, "", "name"], [25, 2, 1, "", "update"]], "smac.acquisition.function.confidence_bound": [[26, 1, 1, "", "LCB"]], "smac.acquisition.function.confidence_bound.LCB": [[26, 4, 1, "", "_beta"], [26, 4, 1, "", "_num_data"], [26, 3, 1, "", "meta"], [26, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement": [[27, 1, 1, "", "EI"], [27, 1, 1, "", "EIPS"]], "smac.acquisition.function.expected_improvement.EI": [[27, 4, 1, "", "_eta"], [27, 4, 1, "", "_log"], [27, 4, 1, "", "_xi"], [27, 3, 1, "", "meta"], [27, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement.EIPS": [[27, 3, 1, "", "name"]], "smac.acquisition.function.integrated_acquisition_function": [[28, 1, 1, "", "IntegratedAcquisitionFunction"]], "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction": [[28, 4, 1, "", "_acquisition_function"], [28, 4, 1, "", "_eta"], [28, 4, 1, "", "_functions"], [28, 3, 1, "", "meta"], [28, 3, 1, "", "name"]], "smac.acquisition.function.prior_acqusition_function": [[29, 1, 1, "", "PriorAcquisitionFunction"]], "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction": [[29, 3, 1, "", "meta"], [29, 3, 1, "", "model"], [29, 3, 1, "", "name"]], "smac.acquisition.function.probability_improvement": [[30, 1, 1, "", "PI"]], "smac.acquisition.function.probability_improvement.PI": [[30, 3, 1, "", "meta"], [30, 3, 1, "", "name"]], "smac.acquisition.function.thompson": [[31, 1, 1, "", "TS"]], "smac.acquisition.function.thompson.TS": [[31, 3, 1, "", "name"]], "smac.acquisition.maximizer": [[32, 1, 1, "", "AbstractAcquisitionMaximizer"], [32, 1, 1, "", "DifferentialEvolution"], [32, 1, 1, "", "LocalAndSortedRandomSearch"], [32, 1, 1, "", "LocalSearch"], [32, 1, 1, "", "RandomSearch"], [33, 0, 0, "-", "abstract_acqusition_maximizer"], [34, 0, 0, "-", "differential_evolution"], [35, 0, 0, "-", "helpers"], [36, 0, 0, "-", "local_and_random_search"], [37, 0, 0, "-", "local_search"], [38, 0, 0, "-", "random_search"]], "smac.acquisition.maximizer.AbstractAcquisitionMaximizer": [[32, 3, 1, "", "acquisition_function"], [32, 2, 1, "", "maximize"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalAndSortedRandomSearch": [[32, 3, 1, "", "acquisition_function"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalSearch": [[32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, 1, 1, "", "AbstractAcquisitionMaximizer"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer": [[33, 3, 1, "", "acquisition_function"], [33, 2, 1, "", "maximize"], [33, 3, 1, "", "meta"]], "smac.acquisition.maximizer.differential_evolution": [[34, 1, 1, "", "DifferentialEvolution"]], "smac.acquisition.maximizer.helpers": [[35, 1, 1, "", "ChallengerList"]], "smac.acquisition.maximizer.local_and_random_search": [[36, 1, 1, "", "LocalAndSortedRandomSearch"]], "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch": [[36, 3, 1, "", "acquisition_function"], [36, 3, 1, "", "meta"]], "smac.acquisition.maximizer.local_search": [[37, 1, 1, "", "LocalSearch"]], "smac.acquisition.maximizer.local_search.LocalSearch": [[37, 3, 1, "", "meta"]], "smac.acquisition.maximizer.random_search": [[38, 1, 1, "", "RandomSearch"]], "smac.callback": [[39, 1, 1, "", "Callback"], [39, 1, 1, "", "MetadataCallback"], [40, 0, 0, "-", "callback"], [41, 0, 0, "-", "metadata_callback"]], "smac.callback.Callback": [[39, 2, 1, "", "on_ask_end"], [39, 2, 1, "", "on_ask_start"], [39, 2, 1, "", "on_end"], [39, 2, 1, "", "on_iteration_end"], [39, 2, 1, "", "on_iteration_start"], [39, 2, 1, "", "on_next_configurations_end"], [39, 2, 1, "", "on_next_configurations_start"], [39, 2, 1, "", "on_start"], [39, 2, 1, "", "on_tell_end"], [39, 2, 1, "", "on_tell_start"]], "smac.callback.MetadataCallback": [[39, 2, 1, "", "on_start"]], "smac.callback.callback": [[40, 1, 1, "", "Callback"]], "smac.callback.callback.Callback": [[40, 2, 1, "", "on_ask_end"], [40, 2, 1, "", "on_ask_start"], [40, 2, 1, "", "on_end"], [40, 2, 1, "", "on_iteration_end"], [40, 2, 1, "", "on_iteration_start"], [40, 2, 1, "", "on_next_configurations_end"], [40, 2, 1, "", "on_next_configurations_start"], [40, 2, 1, "", "on_start"], [40, 2, 1, "", "on_tell_end"], [40, 2, 1, "", "on_tell_start"]], "smac.callback.metadata_callback": [[41, 1, 1, "", "MetadataCallback"]], "smac.callback.metadata_callback.MetadataCallback": [[41, 2, 1, "", "on_start"]], "smac.facade": [[42, 1, 1, "", "AbstractFacade"], [42, 1, 1, "", "AlgorithmConfigurationFacade"], [42, 1, 1, "", "BlackBoxFacade"], [42, 1, 1, "", "HyperbandFacade"], [42, 1, 1, "", "HyperparameterOptimizationFacade"], [42, 1, 1, "", "MultiFidelityFacade"], [42, 1, 1, "", "RandomFacade"], [43, 0, 0, "-", "abstract_facade"], [44, 0, 0, "-", "algorithm_configuration_facade"], [45, 0, 0, "-", "blackbox_facade"], [46, 0, 0, "-", "hyperband_facade"], [47, 0, 0, "-", "hyperparameter_optimization_facade"], [48, 0, 0, "-", "multi_fidelity_facade"], [49, 0, 0, "-", "random_facade"]], "smac.facade.AbstractFacade": [[42, 2, 1, "", "ask"], [42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"], [42, 3, 1, "", "intensifier"], [42, 3, 1, "", "meta"], [42, 2, 1, "", "optimize"], [42, 3, 1, "", "optimizer"], [42, 3, 1, "", "runhistory"], [42, 3, 1, "", "scenario"], [42, 2, 1, "", "tell"], [42, 2, 1, "", "validate"]], "smac.facade.AlgorithmConfigurationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.BlackBoxFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_kernel"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.HyperbandFacade": [[42, 2, 1, "", "get_intensifier"]], "smac.facade.HyperparameterOptimizationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.MultiFidelityFacade": [[42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"]], "smac.facade.RandomFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.abstract_facade": [[43, 1, 1, "", "AbstractFacade"]], "smac.facade.abstract_facade.AbstractFacade": [[43, 2, 1, "", "ask"], [43, 2, 1, "", "get_acquisition_function"], [43, 2, 1, "", "get_acquisition_maximizer"], [43, 2, 1, "", "get_config_selector"], [43, 2, 1, "", "get_initial_design"], [43, 2, 1, "", "get_intensifier"], [43, 2, 1, "", "get_model"], [43, 2, 1, "", "get_multi_objective_algorithm"], [43, 2, 1, "", "get_random_design"], [43, 2, 1, "", "get_runhistory_encoder"], [43, 3, 1, "", "intensifier"], [43, 3, 1, "", "meta"], [43, 2, 1, "", "optimize"], [43, 3, 1, "", "optimizer"], [43, 3, 1, "", "runhistory"], [43, 3, 1, "", "scenario"], [43, 2, 1, "", "tell"], [43, 2, 1, "", "validate"]], "smac.facade.algorithm_configuration_facade": [[44, 1, 1, "", "AlgorithmConfigurationFacade"]], "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade": [[44, 2, 1, "", "get_acquisition_function"], [44, 2, 1, "", "get_acquisition_maximizer"], [44, 2, 1, "", "get_initial_design"], [44, 2, 1, "", "get_intensifier"], [44, 2, 1, "", "get_model"], [44, 2, 1, "", "get_multi_objective_algorithm"], [44, 2, 1, "", "get_random_design"], [44, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.blackbox_facade": [[45, 1, 1, "", "BlackBoxFacade"]], "smac.facade.blackbox_facade.BlackBoxFacade": [[45, 2, 1, "", "get_acquisition_function"], [45, 2, 1, "", "get_acquisition_maximizer"], [45, 2, 1, "", "get_config_selector"], [45, 2, 1, "", "get_initial_design"], [45, 2, 1, "", "get_intensifier"], [45, 2, 1, "", "get_kernel"], [45, 2, 1, "", "get_model"], [45, 2, 1, "", "get_multi_objective_algorithm"], [45, 2, 1, "", "get_random_design"], [45, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.hyperband_facade": [[46, 1, 1, "", "HyperbandFacade"]], "smac.facade.hyperband_facade.HyperbandFacade": [[46, 2, 1, "", "get_intensifier"]], "smac.facade.hyperparameter_optimization_facade": [[47, 1, 1, "", "HyperparameterOptimizationFacade"]], "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade": [[47, 2, 1, "", "get_acquisition_function"], [47, 2, 1, "", "get_acquisition_maximizer"], [47, 2, 1, "", "get_initial_design"], [47, 2, 1, "", "get_intensifier"], [47, 2, 1, "", "get_model"], [47, 2, 1, "", "get_multi_objective_algorithm"], [47, 2, 1, "", "get_random_design"], [47, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.multi_fidelity_facade": [[48, 1, 1, "", "MultiFidelityFacade"]], "smac.facade.multi_fidelity_facade.MultiFidelityFacade": [[48, 2, 1, "", "get_initial_design"], [48, 2, 1, "", "get_intensifier"]], "smac.facade.random_facade": [[49, 1, 1, "", "RandomFacade"]], "smac.facade.random_facade.RandomFacade": [[49, 2, 1, "", "get_acquisition_function"], [49, 2, 1, "", "get_acquisition_maximizer"], [49, 2, 1, "", "get_initial_design"], [49, 2, 1, "", "get_intensifier"], [49, 2, 1, "", "get_model"], [49, 2, 1, "", "get_multi_objective_algorithm"], [49, 2, 1, "", "get_random_design"], [49, 2, 1, "", "get_runhistory_encoder"]], "smac.initial_design": [[50, 1, 1, "", "AbstractInitialDesign"], [50, 1, 1, "", "DefaultInitialDesign"], [50, 1, 1, "", "FactorialInitialDesign"], [50, 1, 1, "", "LatinHypercubeInitialDesign"], [50, 1, 1, "", "RandomInitialDesign"], [50, 1, 1, "", "SobolInitialDesign"], [51, 0, 0, "-", "abstract_initial_design"], [52, 0, 0, "-", "default_design"], [53, 0, 0, "-", "factorial_design"], [54, 0, 0, "-", "latin_hypercube_design"], [55, 0, 0, "-", "random_design"], [56, 0, 0, "-", "sobol_design"]], "smac.initial_design.AbstractInitialDesign": [[50, 3, 1, "", "meta"], [50, 2, 1, "", "select_configurations"]], "smac.initial_design.abstract_initial_design": [[51, 1, 1, "", "AbstractInitialDesign"]], "smac.initial_design.abstract_initial_design.AbstractInitialDesign": [[51, 3, 1, "", "meta"], [51, 2, 1, "", "select_configurations"]], "smac.initial_design.default_design": [[52, 1, 1, "", "DefaultInitialDesign"]], "smac.initial_design.factorial_design": [[53, 1, 1, "", "FactorialInitialDesign"]], "smac.initial_design.latin_hypercube_design": [[54, 1, 1, "", "LatinHypercubeInitialDesign"]], "smac.initial_design.random_design": [[55, 1, 1, "", "RandomInitialDesign"]], "smac.initial_design.sobol_design": [[56, 1, 1, "", "SobolInitialDesign"]], "smac.intensifier": [[57, 1, 1, "", "AbstractIntensifier"], [57, 1, 1, "", "Hyperband"], [57, 1, 1, "", "Intensifier"], [57, 1, 1, "", "SuccessiveHalving"], [58, 0, 0, "-", "abstract_intensifier"], [59, 0, 0, "-", "hyperband"], [60, 0, 0, "-", "hyperband_utils"], [61, 0, 0, "-", "intensifier"], [62, 0, 0, "-", "successive_halving"]], "smac.intensifier.AbstractIntensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "__post_init__"], [57, 3, 1, "", "config_generator"], [57, 3, 1, "", "config_selector"], [57, 2, 1, "", "get_callback"], [57, 2, 1, "", "get_incumbent"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [57, 2, 1, "", "get_incumbents"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_instance_seed_keys_of_interest"], [57, 2, 1, "", "get_rejected_configs"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "incumbents_changed"], [57, 2, 1, "", "load"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "reset"], [57, 3, 1, "", "runhistory"], [57, 2, 1, "", "save"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "trajectory"], [57, 2, 1, "", "update_incumbents"], [57, 3, 1, "", "used_walltime"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.Hyperband": [[57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"]], "smac.intensifier.Intensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.SuccessiveHalving": [[57, 2, 1, "", "__post_init__"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "print_tracker"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.abstract_intensifier": [[58, 1, 1, "", "AbstractIntensifier"]], "smac.intensifier.abstract_intensifier.AbstractIntensifier": [[58, 2, 1, "", "__iter__"], [58, 2, 1, "", "__post_init__"], [58, 3, 1, "", "config_generator"], [58, 3, 1, "", "config_selector"], [58, 2, 1, "", "get_callback"], [58, 2, 1, "", "get_incumbent"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [58, 2, 1, "", "get_incumbents"], [58, 2, 1, "", "get_instance_seed_budget_keys"], [58, 2, 1, "", "get_instance_seed_keys_of_interest"], [58, 2, 1, "", "get_rejected_configs"], [58, 2, 1, "", "get_state"], [58, 2, 1, "", "get_trials_of_interest"], [58, 3, 1, "", "incumbents_changed"], [58, 2, 1, "", "load"], [58, 3, 1, "", "meta"], [58, 2, 1, "", "reset"], [58, 3, 1, "", "runhistory"], [58, 2, 1, "", "save"], [58, 2, 1, "", "set_state"], [58, 3, 1, "", "trajectory"], [58, 2, 1, "", "update_incumbents"], [58, 3, 1, "", "used_walltime"], [58, 3, 1, "", "uses_budgets"], [58, 3, 1, "", "uses_instances"], [58, 3, 1, "", "uses_seeds"]], "smac.intensifier.hyperband": [[59, 1, 1, "", "Hyperband"]], "smac.intensifier.hyperband.Hyperband": [[59, 2, 1, "", "get_state"], [59, 2, 1, "", "reset"], [59, 2, 1, "", "set_state"]], "smac.intensifier.hyperband_utils": [[60, 5, 1, "", "determine_HB"], [60, 5, 1, "", "determine_hyperband_for_multifidelity"], [60, 5, 1, "", "get_n_trials_for_hyperband_multifidelity"], [60, 5, 1, "", "print_hyperband_summary"]], "smac.intensifier.intensifier": [[61, 1, 1, "", "Intensifier"]], "smac.intensifier.intensifier.Intensifier": [[61, 2, 1, "", "__iter__"], [61, 2, 1, "", "get_state"], [61, 2, 1, "", "reset"], [61, 2, 1, "", "set_state"], [61, 3, 1, "", "uses_budgets"], [61, 3, 1, "", "uses_instances"], [61, 3, 1, "", "uses_seeds"]], "smac.intensifier.successive_halving": [[62, 1, 1, "", "SuccessiveHalving"]], "smac.intensifier.successive_halving.SuccessiveHalving": [[62, 2, 1, "", "__post_init__"], [62, 2, 1, "", "get_instance_seed_budget_keys"], [62, 2, 1, "", "get_state"], [62, 2, 1, "", "get_trials_of_interest"], [62, 3, 1, "", "meta"], [62, 2, 1, "", "print_tracker"], [62, 2, 1, "", "reset"], [62, 2, 1, "", "set_state"], [62, 3, 1, "", "uses_budgets"], [62, 3, 1, "", "uses_instances"], [62, 3, 1, "", "uses_seeds"]], "smac.main": [[64, 0, 0, "-", "config_selector"], [65, 0, 0, "-", "smbo"]], "smac.main.config_selector": [[64, 1, 1, "", "ConfigSelector"]], "smac.main.config_selector.ConfigSelector": [[64, 2, 1, "", "__iter__"], [64, 3, 1, "", "meta"]], "smac.main.smbo": [[65, 1, 1, "", "SMBO"]], "smac.main.smbo.SMBO": [[65, 2, 1, "", "ask"], [65, 3, 1, "", "budget_exhausted"], [65, 2, 1, "", "exists"], [65, 3, 1, "", "intensifier"], [65, 2, 1, "", "load"], [65, 2, 1, "", "optimize"], [65, 2, 1, "", "print_stats"], [65, 2, 1, "", "register_callback"], [65, 3, 1, "", "remaining_cputime"], [65, 3, 1, "", "remaining_trials"], [65, 3, 1, "", "remaining_walltime"], [65, 2, 1, "", "reset"], [65, 3, 1, "", "runhistory"], [65, 2, 1, "", "save"], [65, 2, 1, "", "tell"], [65, 2, 1, "", "update_acquisition_function"], [65, 2, 1, "", "update_model"], [65, 3, 1, "", "used_target_function_walltime"], [65, 3, 1, "", "used_walltime"], [65, 2, 1, "", "validate"]], "smac.model": [[66, 1, 1, "", "AbstractModel"], [66, 1, 1, "", "MultiObjectiveModel"], [66, 1, 1, "", "RandomModel"], [67, 0, 0, "-", "abstract_model"], [68, 0, 0, "-", "gaussian_process"], [85, 0, 0, "-", "multi_objective_model"], [86, 0, 0, "-", "random_forest"], [89, 0, 0, "-", "random_model"]], "smac.model.AbstractModel": [[66, 3, 1, "", "meta"], [66, 2, 1, "", "predict"], [66, 2, 1, "", "predict_marginalized"], [66, 2, 1, "", "train"]], "smac.model.MultiObjectiveModel": [[66, 3, 1, "", "models"], [66, 2, 1, "", "predict_marginalized"]], "smac.model.abstract_model": [[67, 1, 1, "", "AbstractModel"]], "smac.model.abstract_model.AbstractModel": [[67, 3, 1, "", "meta"], [67, 2, 1, "", "predict"], [67, 2, 1, "", "predict_marginalized"], [67, 2, 1, "", "train"]], "smac.model.gaussian_process": [[68, 1, 1, "", "AbstractGaussianProcess"], [68, 1, 1, "", "GaussianProcess"], [68, 1, 1, "", "MCMCGaussianProcess"], [69, 0, 0, "-", "abstract_gaussian_process"], [70, 0, 0, "-", "gaussian_process"], [71, 0, 0, "-", "gpytorch_gaussian_process"], [72, 0, 0, "-", "kernels"], [78, 0, 0, "-", "mcmc_gaussian_process"], [79, 0, 0, "-", "priors"]], "smac.model.gaussian_process.AbstractGaussianProcess": [[68, 3, 1, "", "meta"]], "smac.model.gaussian_process.GaussianProcess": [[68, 3, 1, "", "meta"], [68, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.MCMCGaussianProcess": [[68, 3, 1, "", "meta"], [68, 3, 1, "", "models"]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, 1, 1, "", "AbstractGaussianProcess"]], "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess": [[69, 3, 1, "", "meta"]], "smac.model.gaussian_process.gaussian_process": [[70, 1, 1, "", "GaussianProcess"]], "smac.model.gaussian_process.gaussian_process.GaussianProcess": [[70, 3, 1, "", "meta"], [70, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.kernels": [[72, 1, 1, "", "AbstractKernel"], [72, 1, 1, "", "ConstantKernel"], [72, 1, 1, "", "HammingKernel"], [72, 1, 1, "", "MaternKernel"], [72, 1, 1, "", "ProductKernel"], [72, 1, 1, "", "RBFKernel"], [72, 1, 1, "", "SumKernel"], [72, 1, 1, "", "WhiteKernel"], [73, 0, 0, "-", "base_kernels"], [74, 0, 0, "-", "hamming_kernel"], [75, 0, 0, "-", "matern_kernel"], [76, 0, 0, "-", "rbf_kernel"], [77, 0, 0, "-", "white_kernel"]], "smac.model.gaussian_process.kernels.AbstractKernel": [[72, 2, 1, "", "__call__"], [72, 2, 1, "", "get_params"], [72, 4, 1, "", "has_conditions"], [72, 3, 1, "", "hyperparameters"], [72, 3, 1, "", "meta"], [72, 3, 1, "", "n_dims"], [72, 4, 1, "", "operate_on"], [72, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.ConstantKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.HammingKernel": [[72, 3, 1, "", "hyperparameter_length_scale"], [72, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.ProductKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.SumKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels": [[73, 1, 1, "", "AbstractKernel"], [73, 1, 1, "", "ConstantKernel"], [73, 1, 1, "", "ProductKernel"], [73, 1, 1, "", "SumKernel"]], "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel": [[73, 2, 1, "", "__call__"], [73, 2, 1, "", "get_params"], [73, 4, 1, "", "has_conditions"], [73, 3, 1, "", "hyperparameters"], [73, 3, 1, "", "meta"], [73, 3, 1, "", "n_dims"], [73, 4, 1, "", "operate_on"], [73, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.ProductKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.SumKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, 1, 1, "", "HammingKernel"]], "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel": [[74, 3, 1, "", "hyperparameter_length_scale"], [74, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, 1, 1, "", "MaternKernel"]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, 1, 1, "", "RBFKernel"]], "smac.model.gaussian_process.kernels.white_kernel": [[77, 1, 1, "", "WhiteKernel"]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, 1, 1, "", "MCMCGaussianProcess"]], "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess": [[78, 3, 1, "", "meta"], [78, 3, 1, "", "models"]], "smac.model.gaussian_process.priors": [[79, 1, 1, "", "GammaPrior"], [79, 1, 1, "", "HorseshoePrior"], [79, 1, 1, "", "LogNormalPrior"], [79, 1, 1, "", "SoftTopHatPrior"], [79, 1, 1, "", "TophatPrior"], [80, 0, 0, "-", "abstract_prior"], [81, 0, 0, "-", "gamma_prior"], [82, 0, 0, "-", "horseshoe_prior"], [83, 0, 0, "-", "log_normal_prior"], [84, 0, 0, "-", "tophat_prior"]], "smac.model.gaussian_process.priors.GammaPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.HorseshoePrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.LogNormalPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.SoftTopHatPrior": [[79, 2, 1, "", "get_gradient"], [79, 2, 1, "", "get_log_probability"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.TophatPrior": [[79, 2, 1, "", "get_gradient"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.abstract_prior": [[80, 1, 1, "", "AbstractPrior"]], "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior": [[80, 2, 1, "", "get_gradient"], [80, 2, 1, "", "get_log_probability"], [80, 3, 1, "", "meta"], [80, 2, 1, "", "sample_from_prior"]], "smac.model.gaussian_process.priors.gamma_prior": [[81, 1, 1, "", "GammaPrior"]], "smac.model.gaussian_process.priors.gamma_prior.GammaPrior": [[81, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, 1, 1, "", "HorseshoePrior"]], "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior": [[82, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, 1, 1, "", "LogNormalPrior"]], "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior": [[83, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior": [[84, 1, 1, "", "SoftTopHatPrior"], [84, 1, 1, "", "TophatPrior"]], "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior": [[84, 2, 1, "", "get_gradient"], [84, 2, 1, "", "get_log_probability"], [84, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior.TophatPrior": [[84, 2, 1, "", "get_gradient"], [84, 3, 1, "", "meta"]], "smac.model.multi_objective_model": [[85, 1, 1, "", "MultiObjectiveModel"]], "smac.model.multi_objective_model.MultiObjectiveModel": [[85, 3, 1, "", "models"], [85, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest": [[86, 1, 1, "", "AbstractRandomForest"], [86, 1, 1, "", "RandomForest"], [87, 0, 0, "-", "abstract_random_forest"], [88, 0, 0, "-", "random_forest"]], "smac.model.random_forest.RandomForest": [[86, 3, 1, "", "meta"], [86, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest.abstract_random_forest": [[87, 1, 1, "", "AbstractRandomForest"]], "smac.model.random_forest.random_forest": [[88, 1, 1, "", "RandomForest"]], "smac.model.random_forest.random_forest.RandomForest": [[88, 3, 1, "", "meta"], [88, 2, 1, "", "predict_marginalized"]], "smac.model.random_model": [[89, 1, 1, "", "RandomModel"]], "smac.multi_objective": [[90, 1, 1, "", "AbstractMultiObjectiveAlgorithm"], [90, 1, 1, "", "MeanAggregationStrategy"], [90, 1, 1, "", "ParEGO"], [91, 0, 0, "-", "abstract_multi_objective_algorithm"], [92, 0, 0, "-", "aggregation_strategy"], [93, 0, 0, "-", "parego"]], "smac.multi_objective.AbstractMultiObjectiveAlgorithm": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.MeanAggregationStrategy": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"]], "smac.multi_objective.ParEGO": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, 1, 1, "", "AbstractMultiObjectiveAlgorithm"]], "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm": [[91, 2, 1, "", "__call__"], [91, 3, 1, "", "meta"], [91, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.aggregation_strategy": [[92, 1, 1, "", "MeanAggregationStrategy"]], "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy": [[92, 2, 1, "", "__call__"], [92, 3, 1, "", "meta"]], "smac.multi_objective.parego": [[93, 1, 1, "", "ParEGO"]], "smac.multi_objective.parego.ParEGO": [[93, 2, 1, "", "__call__"], [93, 3, 1, "", "meta"], [93, 2, 1, "", "update_on_iteration_start"]], "smac.random_design": [[94, 1, 1, "", "AbstractRandomDesign"], [94, 1, 1, "", "CosineAnnealingRandomDesign"], [94, 1, 1, "", "DynamicModulusRandomDesign"], [94, 1, 1, "", "DynamicProbabilityRandomDesign"], [94, 1, 1, "", "ModulusRandomDesign"], [94, 1, 1, "", "ProbabilityRandomDesign"], [95, 0, 0, "-", "abstract_random_design"], [96, 0, 0, "-", "annealing_design"], [97, 0, 0, "-", "modulus_design"], [98, 0, 0, "-", "probability_design"]], "smac.random_design.AbstractRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.CosineAnnealingRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.ModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.ProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.abstract_random_design": [[95, 1, 1, "", "AbstractRandomDesign"]], "smac.random_design.abstract_random_design.AbstractRandomDesign": [[95, 2, 1, "", "check"], [95, 3, 1, "", "meta"], [95, 2, 1, "", "next_iteration"]], "smac.random_design.annealing_design": [[96, 1, 1, "", "CosineAnnealingRandomDesign"]], "smac.random_design.annealing_design.CosineAnnealingRandomDesign": [[96, 2, 1, "", "check"], [96, 3, 1, "", "meta"], [96, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design": [[97, 1, 1, "", "DynamicModulusRandomDesign"], [97, 1, 1, "", "ModulusRandomDesign"]], "smac.random_design.modulus_design.DynamicModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"], [97, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design.ModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"]], "smac.random_design.probability_design": [[98, 1, 1, "", "DynamicProbabilityRandomDesign"], [98, 1, 1, "", "ProbabilityRandomDesign"]], "smac.random_design.probability_design.DynamicProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"], [98, 2, 1, "", "next_iteration"]], "smac.random_design.probability_design.ProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"]], "smac.runhistory": [[99, 1, 1, "", "InstanceSeedBudgetKey"], [99, 1, 1, "", "InstanceSeedKey"], [99, 1, 1, "", "RunHistory"], [99, 1, 1, "", "StatusType"], [99, 1, 1, "", "TrialInfo"], [99, 1, 1, "", "TrialKey"], [99, 1, 1, "", "TrialValue"], [100, 0, 0, "-", "dataclasses"], [101, 0, 0, "-", "encoder"], [111, 0, 0, "-", "enumerations"], [112, 0, 0, "-", "errors"], [113, 0, 0, "-", "runhistory"]], "smac.runhistory.InstanceSeedBudgetKey": [[99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.RunHistory": [[99, 2, 1, "", "__contains__"], [99, 2, 1, "", "__eq__"], [99, 2, 1, "", "__getitem__"], [99, 2, 1, "", "__iter__"], [99, 2, 1, "", "__len__"], [99, 2, 1, "", "add"], [99, 2, 1, "", "add_running_trial"], [99, 2, 1, "", "add_trial"], [99, 2, 1, "", "average_cost"], [99, 3, 1, "", "config_ids"], [99, 2, 1, "", "empty"], [99, 3, 1, "", "finished"], [99, 2, 1, "", "get_config"], [99, 2, 1, "", "get_config_id"], [99, 2, 1, "", "get_configs"], [99, 2, 1, "", "get_configs_per_budget"], [99, 2, 1, "", "get_cost"], [99, 2, 1, "", "get_instance_seed_budget_keys"], [99, 2, 1, "", "get_min_cost"], [99, 2, 1, "", "get_running_configs"], [99, 2, 1, "", "get_running_trials"], [99, 2, 1, "", "get_trials"], [99, 2, 1, "", "has_config"], [99, 3, 1, "", "ids_config"], [99, 2, 1, "", "incremental_update_cost"], [99, 2, 1, "", "load"], [99, 2, 1, "", "min_cost"], [99, 3, 1, "", "multi_objective_algorithm"], [99, 3, 1, "", "objective_bounds"], [99, 2, 1, "", "reset"], [99, 3, 1, "", "running"], [99, 2, 1, "", "save"], [99, 3, 1, "", "submitted"], [99, 2, 1, "", "sum_cost"], [99, 2, 1, "", "update"], [99, 2, 1, "", "update_cost"], [99, 2, 1, "", "update_costs"], [99, 2, 1, "", "update_from_json"]], "smac.runhistory.TrialInfo": [[99, 2, 1, "", "get_instance_seed_budget_key"], [99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses": [[100, 1, 1, "", "InstanceSeedBudgetKey"], [100, 1, 1, "", "InstanceSeedKey"], [100, 1, 1, "", "TrajectoryItem"], [100, 1, 1, "", "TrialInfo"], [100, 1, 1, "", "TrialKey"], [100, 1, 1, "", "TrialValue"]], "smac.runhistory.dataclasses.InstanceSeedBudgetKey": [[100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses.TrialInfo": [[100, 2, 1, "", "get_instance_seed_budget_key"], [100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.encoder": [[101, 1, 1, "", "AbstractRunHistoryEncoder"], [101, 1, 1, "", "RunHistoryEIPSEncoder"], [101, 1, 1, "", "RunHistoryEncoder"], [101, 1, 1, "", "RunHistoryInverseScaledEncoder"], [101, 1, 1, "", "RunHistoryLogEncoder"], [101, 1, 1, "", "RunHistoryLogScaledEncoder"], [101, 1, 1, "", "RunHistoryScaledEncoder"], [101, 1, 1, "", "RunHistorySqrtScaledEncoder"], [102, 0, 0, "-", "abstract_encoder"], [103, 0, 0, "-", "boing_encoder"], [104, 0, 0, "-", "eips_encoder"], [105, 0, 0, "-", "encoder"], [106, 0, 0, "-", "inverse_scaled_encoder"], [107, 0, 0, "-", "log_encoder"], [108, 0, 0, "-", "log_scaled_encoder"], [109, 0, 0, "-", "scaled_encoder"], [110, 0, 0, "-", "sqrt_scaled_encoder"]], "smac.runhistory.encoder.AbstractRunHistoryEncoder": [[101, 2, 1, "", "get_configurations"], [101, 3, 1, "", "meta"], [101, 3, 1, "", "multi_objective_algorithm"], [101, 3, 1, "", "runhistory"], [101, 2, 1, "", "transform"], [101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEIPSEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryInverseScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistorySqrtScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.abstract_encoder": [[102, 1, 1, "", "AbstractRunHistoryEncoder"]], "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder": [[102, 2, 1, "", "get_configurations"], [102, 3, 1, "", "meta"], [102, 3, 1, "", "multi_objective_algorithm"], [102, 3, 1, "", "runhistory"], [102, 2, 1, "", "transform"], [102, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.eips_encoder": [[104, 1, 1, "", "RunHistoryEIPSEncoder"]], "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder": [[104, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.encoder": [[105, 1, 1, "", "RunHistoryEncoder"]], "smac.runhistory.encoder.encoder.RunHistoryEncoder": [[105, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, 1, 1, "", "RunHistoryInverseScaledEncoder"]], "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder": [[106, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_encoder": [[107, 1, 1, "", "RunHistoryLogEncoder"]], "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder": [[107, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_scaled_encoder": [[108, 1, 1, "", "RunHistoryLogScaledEncoder"]], "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder": [[108, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.scaled_encoder": [[109, 1, 1, "", "RunHistoryScaledEncoder"]], "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder": [[109, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, 1, 1, "", "RunHistorySqrtScaledEncoder"]], "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder": [[110, 2, 1, "", "transform_response_values"]], "smac.runhistory.enumerations": [[111, 1, 1, "", "StatusType"]], "smac.runhistory.errors": [[112, 6, 1, "", "NotEvaluatedError"]], "smac.runhistory.runhistory": [[113, 1, 1, "", "RunHistory"]], "smac.runhistory.runhistory.RunHistory": [[113, 2, 1, "", "__contains__"], [113, 2, 1, "", "__eq__"], [113, 2, 1, "", "__getitem__"], [113, 2, 1, "", "__iter__"], [113, 2, 1, "", "__len__"], [113, 2, 1, "", "add"], [113, 2, 1, "", "add_running_trial"], [113, 2, 1, "", "add_trial"], [113, 2, 1, "", "average_cost"], [113, 3, 1, "", "config_ids"], [113, 2, 1, "", "empty"], [113, 3, 1, "", "finished"], [113, 2, 1, "", "get_config"], [113, 2, 1, "", "get_config_id"], [113, 2, 1, "", "get_configs"], [113, 2, 1, "", "get_configs_per_budget"], [113, 2, 1, "", "get_cost"], [113, 2, 1, "", "get_instance_seed_budget_keys"], [113, 2, 1, "", "get_min_cost"], [113, 2, 1, "", "get_running_configs"], [113, 2, 1, "", "get_running_trials"], [113, 2, 1, "", "get_trials"], [113, 2, 1, "", "has_config"], [113, 3, 1, "", "ids_config"], [113, 2, 1, "", "incremental_update_cost"], [113, 2, 1, "", "load"], [113, 2, 1, "", "min_cost"], [113, 3, 1, "", "multi_objective_algorithm"], [113, 3, 1, "", "objective_bounds"], [113, 2, 1, "", "reset"], [113, 3, 1, "", "running"], [113, 2, 1, "", "save"], [113, 3, 1, "", "submitted"], [113, 2, 1, "", "sum_cost"], [113, 2, 1, "", "update"], [113, 2, 1, "", "update_cost"], [113, 2, 1, "", "update_costs"], [113, 2, 1, "", "update_from_json"]], "smac.runner": [[114, 1, 1, "", "AbstractRunner"], [114, 1, 1, "", "DaskParallelRunner"], [114, 6, 1, "", "FirstRunCrashedException"], [114, 6, 1, "", "TargetAlgorithmAbortException"], [114, 1, 1, "", "TargetFunctionRunner"], [115, 0, 0, "-", "abstract_runner"], [116, 0, 0, "-", "abstract_serial_runner"], [117, 0, 0, "-", "dask_runner"], [118, 0, 0, "-", "exceptions"], [119, 0, 0, "-", "target_function_runner"], [120, 0, 0, "-", "target_function_script_runner"]], "smac.runner.AbstractRunner": [[114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"], [114, 2, 1, "", "run_wrapper"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.DaskParallelRunner": [[114, 2, 1, "", "__del__"], [114, 2, 1, "", "close"], [114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 2, 1, "", "run"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.TargetFunctionRunner": [[114, 2, 1, "", "__call__"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"]], "smac.runner.abstract_runner": [[115, 1, 1, "", "AbstractRunner"]], "smac.runner.abstract_runner.AbstractRunner": [[115, 2, 1, "", "count_available_workers"], [115, 2, 1, "", "is_running"], [115, 2, 1, "", "iter_results"], [115, 3, 1, "", "meta"], [115, 2, 1, "", "run"], [115, 2, 1, "", "run_wrapper"], [115, 2, 1, "", "submit_trial"], [115, 2, 1, "", "wait"]], "smac.runner.abstract_serial_runner": [[116, 1, 1, "", "AbstractSerialRunner"]], "smac.runner.abstract_serial_runner.AbstractSerialRunner": [[116, 2, 1, "", "count_available_workers"], [116, 2, 1, "", "is_running"], [116, 2, 1, "", "iter_results"], [116, 2, 1, "", "submit_trial"], [116, 2, 1, "", "wait"]], "smac.runner.dask_runner": [[117, 1, 1, "", "DaskParallelRunner"]], "smac.runner.dask_runner.DaskParallelRunner": [[117, 2, 1, "", "__del__"], [117, 2, 1, "", "close"], [117, 2, 1, "", "count_available_workers"], [117, 2, 1, "", "is_running"], [117, 2, 1, "", "iter_results"], [117, 2, 1, "", "run"], [117, 2, 1, "", "submit_trial"], [117, 2, 1, "", "wait"]], "smac.runner.exceptions": [[118, 6, 1, "", "FirstRunCrashedException"], [118, 6, 1, "", "TargetAlgorithmAbortException"]], "smac.runner.target_function_runner": [[119, 1, 1, "", "TargetFunctionRunner"]], "smac.runner.target_function_runner.TargetFunctionRunner": [[119, 2, 1, "", "__call__"], [119, 3, 1, "", "meta"], [119, 2, 1, "", "run"]], "smac.runner.target_function_script_runner": [[120, 1, 1, "", "TargetFunctionScriptRunner"]], "smac.runner.target_function_script_runner.TargetFunctionScriptRunner": [[120, 2, 1, "", "__call__"], [120, 3, 1, "", "meta"], [120, 2, 1, "", "run"]], "smac.scenario": [[121, 1, 1, "", "Scenario"]], "smac.scenario.Scenario": [[121, 2, 1, "", "__post_init__"], [121, 2, 1, "", "count_instance_features"], [121, 2, 1, "", "count_objectives"], [121, 2, 1, "", "load"], [121, 2, 1, "", "make_serializable"], [121, 3, 1, "", "meta"], [121, 2, 1, "", "save"]], "smac.utils": [[123, 0, 0, "-", "configspace"], [124, 0, 0, "-", "data_structures"], [125, 0, 0, "-", "logging"], [126, 0, 0, "-", "multi_objective"], [127, 0, 0, "-", "pareto_front"], [128, 0, 0, "-", "subspaces"]], "smac.utils.configspace": [[123, 5, 1, "", "convert_configurations_to_array"], [123, 5, 1, "", "get_conditional_hyperparameters"], [123, 5, 1, "", "get_config_hash"], [123, 5, 1, "", "get_types"], [123, 5, 1, "", "print_config_changes"]], "smac.utils.data_structures": [[124, 5, 1, "", "batch"], [124, 5, 1, "", "recursively_compare_dicts"]], "smac.utils.logging": [[125, 5, 1, "", "get_logger"], [125, 5, 1, "", "setup_logging"]], "smac.utils.multi_objective": [[126, 5, 1, "", "normalize_costs"]], "smac.utils.pareto_front": [[127, 5, 1, "", "calculate_pareto_front"], [127, 5, 1, "", "sort_by_crowding_distance"]], "smac.utils.subspaces": [[129, 0, 0, "-", "boing_subspace"], [130, 0, 0, "-", "turbo_subspace"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "property", "Python property"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "function", "Python function"], "6": ["py", "exception", "Python exception"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:property", "4": "py:attribute", "5": "py:function", "6": "py:exception"}, "terms": {"": [2, 3, 6, 7, 8, 10, 13, 14, 20, 32, 36, 37, 42, 43, 65, 68, 70, 78, 80, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "0": [2, 3, 4, 8, 13, 15, 16, 17, 18, 19, 20, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44, 45, 47, 48, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 113, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "00": [138, 143, 144, 147, 150, 152, 155], "000": 152, "00001": 140, "0001": [132, 139, 145], "001": [132, 139, 145], "001512079916069889": 135, "006249006102246613": 140, "01": [18, 120, 138, 155], "01360011100769043": 140, "01538581": 144, "0180713": 144, "01892602909315999": 139, "02": [143, 155], "02225936242649329": 139, "022fca": 144, "023777008056640625": 139, "03": [0, 138, 143, 155], "03135360777378082": 134, "03506499535747454": 136, "03534045": 145, "0368266105651855": 139, "03706781": 144, "038952336737852145": 136, "04": [0, 138, 144, 155], "05": [72, 73, 74, 75, 76, 77, 90, 93, 155], "07": [143, 155], "08": [86, 88, 147, 155], "08447232371720552": [42, 45], "08681291": 145, "0888": 154, "08dfd2": 141, "09": [131, 141], "0912": 6, "0919630453331843e": 141, "09616130553975616": 135, "0c9159": 145, "1": [0, 3, 4, 12, 13, 14, 19, 20, 24, 25, 26, 27, 30, 32, 34, 42, 45, 46, 47, 48, 57, 59, 61, 62, 64, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 79, 81, 85, 86, 88, 90, 91, 92, 93, 101, 104, 121, 123, 124, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 150, 154], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 68, 70, 86, 88, 131, 132, 133, 134, 135, 136, 139, 141, 144, 145, 154], "100": [2, 4, 7, 121, 131, 133, 134, 139, 140, 141, 144], "1000": [4, 42, 45, 131, 132, 148], "10000": [42, 47, 131, 141], "100000": [72, 73, 74, 75, 76, 77], "10116174": 144, "102": 16, "1048576": [42, 47, 86, 88], "107": 136, "10bb50": [131, 135], "11": [32, 34, 144], "1102": 134, "11051": 6, "11d305": 144, "12": [24, 29, 140, 141, 155], "120": 3, "121": 16, "1276c6": 144, "128": 136, "13155096": 144, "132": 16, "134": 132, "137256": 144, "1377ef": 144, "14": [132, 139], "140": [16, 132], "143b21": 144, "147": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "148": 132, "149": [134, 138, 155], "15": 140, "150": [139, 140, 141, 144], "151": 132, "15489347419148672": 140, "155": [145, 147, 155], "156": 145, "15606725": 144, "15696132": 145, "15dfc6": [131, 135], "16": [6, 42, 43, 45, 57, 61, 64, 136], "16305014": 145, "164": [139, 140, 141], "16536093": 145, "166": 141, "16660476": 145, "16916": 133, "16c6ab": 139, "175": [140, 143, 155], "17502786": 145, "18": [0, 141], "182": 139, "184825": 144, "186": 132, "19": [148, 150, 155], "190413": 144, "196": [136, 138, 155], "1997": [32, 34], "1_basic": [132, 134, 138, 155], "1_call_target_function_script": [148, 150, 155], "1_mlp_epoch": [139, 143, 155], "1_quadratic_funct": [131, 138, 155], "1_schaffer": [144, 147, 155], "1add8f": 131, "1c22be": 144, "1cfe87": 133, "1d30ce": 139, "1df92e": 144, "1e": [24, 29, 72, 73, 74, 75, 76, 77, 86, 88, 136], "1eac88": 144, "1ee992": 144, "1f3477": 144, "2": [0, 3, 7, 13, 24, 26, 32, 34, 35, 37, 42, 47, 57, 61, 86, 88, 94, 97, 131, 132, 133, 134, 136, 139, 140, 141, 144, 145, 147], "20": [0, 3, 20, 42, 44, 45, 47, 68, 78, 86, 88, 133, 134], "200": [4, 15, 134, 139, 140, 141, 145], "2000": [42, 44], "2015": [90, 93], "2017": [68, 70, 78, 80], "2021": [8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "2022": 154, "2023": 0, "203": 139, "209652396": 135, "20abef1ade71915352217400c11ece4c2f35163": 127, "21": 154, "21179260686039925": 134, "22": [136, 138, 155], "2204": 6, "222": 132, "22296595573425293": 145, "224": 135, "23": 154, "234": [131, 138, 155], "249": 141, "25": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 131, 135, 139, 148], "250": 140, "256": [136, 139, 145], "257bf2": 145, "259": 132, "2629": 141, "26694769": 144, "2682035": 145, "27": [140, 141], "279": 139, "27e052": 133, "28335488": 145, "287": 135, "28970257": 144, "28c9f9": 144, "29409325": 145, "2942cc": 144, "2_multi_fidel": [143, 155], "2_parego": [145, 147, 155], "2_sgd_dataset": [140, 143, 155], "2_svm_cv": [132, 138, 155], "2be60": 144, "2cb75c": 144, "2d": [146, 147, 151, 155], "2d8007": 131, "2da694": [131, 135], "2dc22a": 144, "2e6e80": 144, "3": [0, 1, 7, 9, 13, 15, 42, 44, 45, 46, 47, 48, 49, 57, 59, 60, 61, 62, 86, 88, 94, 97, 131, 132, 133, 134, 135, 136, 139, 140, 141, 143, 144, 145, 148, 154], "30": [20, 134, 139, 140, 145, 148], "300": [139, 140, 145], "3000": 144, "305": [131, 135, 141, 144, 148], "30847043171525": 134, "319": [131, 132, 133, 135, 139, 140, 141, 144], "323": [139, 140, 141], "325": [139, 140, 141], "327": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328b60": 141, "329": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "33": 138, "330": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "3301b5": 141, "3301f2": 144, "332": 135, "333333333333332": 139, "33571785": 144, "34": [140, 143, 145, 147, 155], "341": [32, 34], "350": 140, "353acf": 144, "359": [32, 34], "36": 143, "3623cc": 145, "36672856700711853": 139, "36aac3": 144, "373": 139, "381e14": 144, "38310a": 133, "38509904": 145, "39731087": 144, "3995": 6, "39d7fb": 144, "3_ask_and_tel": [133, 138, 155], "3_multi_object": [147, 155], "3_specify_hb_via_total_budget": [141, 143, 155], "3a": 6, "3b5efd": 145, "3dbce7": 145, "3df2e2": 144, "3e3235": 144, "3f4152": 144, "4": [1, 2, 13, 18, 42, 44, 57, 62, 120, 131, 133, 134, 136, 139, 140, 141, 144, 145], "40": [20, 134, 136, 140], "400": 140, "401148": 144, "4097ee": 144, "40ecfc": 144, "417": [148, 150, 155], "42": 147, "425": 155, "426c34": 144, "427430": 144, "4380b1": [131, 135], "4431ec": 144, "44981": 139, "44c9c5": 144, "45": [16, 140], "450": 140, "4521": 140, "4522": [24, 28], "45798979": 145, "45fd01": 144, "4655": 132, "465623793958126": 134, "4687bd": 144, "47e5f6": 144, "48": 16, "4891db": 144, "497": 135, "4_callback": [134, 138, 155], "4a175d": 131, "4ba1ca": 132, "4ba6ad": 144, "4e3320": 133, "5": [3, 4, 13, 18, 32, 36, 42, 44, 47, 72, 75, 86, 88, 101, 102, 104, 105, 107, 108, 109, 114, 117, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 154], "50": [3, 13, 20, 42, 45, 47, 48, 50, 51, 68, 78, 131, 132, 133, 134, 135, 139, 140, 141, 144], "500": [3, 139, 141, 148], "5000": [32, 33, 34, 36, 37, 38, 140], "501a6b": 144, "505": 13, "5097d0": 139, "50b29b": 144, "512": 136, "515": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "51851851851852": 141, "51922763": 144, "520": [132, 138, 155], "52ad27": 144, "53144c": 133, "5323": [18, 120], "536": [139, 143, 155], "53c9bc": 144, "54": [139, 143, 154, 155], "540db2": 145, "5471814": 144, "55": 141, "55555555555555": 141, "558": 6, "56337726": 145, "568877": 148, "57": [132, 134], "572": [144, 147, 155], "57585333": 144, "58": 132, "582": [135, 138, 155], "58831296": 144, "58c3ff": 133, "59": 16, "591306": 144, "594": [131, 133, 135, 136, 139, 140, 141, 145, 148], "59746979e": 144, "598f3b": 139, "5_commandlin": [150, 155], "5_continu": [135, 138, 155], "5afac4": 141, "5b27dc": 144, "5b688c": 141, "5beafa": 148, "5d4ba2": 144, "5dcf41": 144, "5efb80": 144, "5f1f97": 144, "6": [16, 42, 44, 47, 86, 88, 123, 138, 140, 141, 144, 145], "60": [136, 139], "60155834": 145, "602": [144, 145], "612": 138, "61206b": 144, "61be50": 144, "627": 144, "6296296296296": 141, "631e51": 144, "636811": 144, "64": [0, 1, 32, 37], "65": 16, "659942": 144, "65debb": 144, "663b3d": 144, "66666666666666": 141, "6666666666666665": 140, "669": 143, "6718e9": 144, "6764193577937531": 133, "67ed09": 144, "67f6e7": 144, "68075279": 144, "68f8e1": 144, "69": 141, "6_prior": [136, 138, 155], "6a2c79": [131, 135], "6a6aa0": 133, "6acb23": 136, "7": [13, 66, 67, 68, 69, 70, 78, 86, 88, 89, 141, 144, 148], "7011175854063811e": 131, "7268bc": 144, "727": 147, "73b5b196b35fb23e1f908d73b787c2c2942fadb5": 6, "74": 145, "74709967": 144, "75": 13, "75dedd": 144, "7777777777777777": 139, "786a51": 144, "7870ec": 148, "7877872130716": 134, "78cd53": 144, "795280": 144, "7a1d9c": 141, "7c9235": 144, "7cadd3": 141, "7cf354": 144, "7d4910": 144, "7ec7f": 136, "7edcd1": 144, "7ef5b0": 144, "7f755d": 144, "8": [1, 3, 12, 13, 42, 43, 45, 57, 62, 64, 86, 88, 132, 136, 139, 144, 145, 148, 154], "802816901408451": 141, "8035c4": 141, "812224": 140, "814da4": 144, "81ee7b": 144, "82": 139, "8333333333333334": [42, 44, 86, 88], "850f72": 144, "85f0af": 144, "860188": 144, "86457c": 145, "87600685": 144, "8787": 139, "884840": 140, "88bb69": 148, "892676": 144, "894517": 144, "89e67c": 144, "8ac7b9": 144, "8b3403": 131, "8d6767": 131, "8d742e": 144, "9": [1, 32, 34, 139, 140, 141, 144, 154], "90": 133, "902c13": 144, "90371158": 144, "90e199": 144, "91bfd9": 144, "91ea8c": 139, "922896": 144, "931": [133, 138, 155], "932722": 144, "938c0d": 139, "94960333e": 144, "94ea8a": 144, "95": 148, "958": [141, 143, 155], "970": 132, "989599": 144, "99": 16, "9968221839517355": 134, "9999": [131, 141], "999999": 134, "9a770c": 133, "9c6906": 144, "9d0513": 139, "9d232c": 144, "9f0e84": 144, "9f5b5b": 131, "A": [3, 6, 7, 9, 24, 29, 32, 36, 64, 68, 70, 78, 80, 90, 91, 92, 93, 114, 115, 116, 117, 119, 120, 135, 144, 152, 154], "And": [135, 136], "As": [12, 24, 25, 116, 135, 136], "But": [3, 140], "By": [2, 139], "FOR": 9, "For": [0, 3, 7, 8, 13, 15, 16, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 72, 73, 114, 115, 116, 117, 119, 121, 139, 154], "IN": 141, "If": [0, 1, 3, 8, 9, 10, 13, 17, 18, 19, 22, 24, 29, 32, 33, 42, 43, 47, 49, 57, 58, 61, 62, 64, 65, 66, 68, 72, 73, 78, 85, 86, 88, 94, 97, 99, 101, 102, 113, 114, 117, 120, 121, 125, 126, 132, 140, 141, 154], "In": [0, 3, 7, 12, 13, 14, 15, 16, 18, 19, 22, 32, 33, 42, 43, 57, 58, 62, 65, 68, 70, 78, 79, 80, 84, 99, 100, 113, 114, 115, 116, 117, 119, 121, 134, 135, 139, 140, 141, 144, 145, 154], "It": [2, 7, 13, 17, 57, 58, 64, 86, 88, 114, 117, 132, 133], "Its": 154, "No": [6, 21, 42, 46, 48, 57, 62], "Not": 3, "On": [21, 72, 73, 114, 115, 116, 117, 142, 143, 151, 155], "Or": [1, 15], "That": [13, 14, 42, 47], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 84, 85, 86, 88, 94, 95, 97, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 127, 131, 133, 139, 144, 145, 154], "Then": 132, "There": [57, 58], "These": [13, 136], "To": [1, 8, 10, 13, 16, 114, 117, 135, 136, 139], "Will": [114, 117], "With": [42, 43], "_": [133, 140], "__call__": [24, 25, 72, 73, 90, 91, 92, 93, 114, 119, 120, 132], "__class__": 139, "__contains__": [99, 113, 132], "__copyright__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__del__": [114, 117], "__eq__": [99, 113], "__future__": [134, 135, 140, 141, 144, 145], "__getitem__": [99, 113], "__init__": [134, 135, 140], "__iter__": [57, 58, 61, 64, 99, 113], "__len__": [99, 113], "__license__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__main__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__name__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__post_init__": [57, 58, 62, 121], "_acquisition_funct": [24, 28], "_beta": [24, 26], "_call": [72, 73], "_challeng": [32, 33], "_cost_per_config": [99, 113], "_data": 140, "_eta": [24, 27, 28], "_function": [24, 28], "_get_gradi": [79, 80, 84], "_get_log_prob": [79, 80, 84], "_log": [24, 27], "_max_incumb": [57, 58], "_maxim": [32, 33], "_num_data": [24, 26], "_num_trials_per_config": [99, 113], "_predict": [66, 67], "_probabl": [94, 96], "_results_queu": [114, 115, 116, 117], "_sample_from_prior": 80, "_select_configur": [50, 51], "_stop_aft": 135, "_tf_instanc": [57, 58], "_tf_seed": [57, 58], "_train": [66, 67], "_updat": [24, 25], "_xi": [24, 27], "a028a8": 131, "a21384": 144, "a34626": [131, 135], "a7b2c5": 144, "a840bc": 133, "a8a5e7": 144, "a96569": 144, "aa0986": 144, "ab179": 144, "abc": [90, 91, 114, 115], "abil": 13, "abl": [21, 114, 115, 132], "abort": [114, 118, 135], "about": [8, 12, 13, 57, 60, 61, 65, 72, 73, 99, 100, 114, 115, 132, 136], "abov": 19, "absolut": [42, 48], "abstract": [24, 25, 32, 33, 42, 43, 57, 58, 66, 67, 68, 69, 80, 86, 87, 90, 91, 94, 95, 101, 102, 114, 115, 117], "abstract_facad": [139, 145], "abstract_initial_design": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_intensifi": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_runn": 132, "abstractacquisitionfunct": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 49], "abstractacquisitionmaxim": [32, 33, 34, 36, 37, 38, 42, 43], "abstractfacad": [42, 43, 44, 45, 47, 49, 139, 144, 145], "abstractgaussianprocess": [68, 69, 70, 78], "abstractinitialdesign": [42, 43, 50, 51, 52, 53, 54, 55, 56], "abstractintensifi": [42, 43, 57, 58, 61, 62, 65], "abstractkernel": [72, 73, 74, 75, 76, 77], "abstractmodel": [24, 25, 29, 42, 43, 66, 67, 68, 69, 85, 86, 87, 89], "abstractmultiobjectivealgorithm": [42, 43, 90, 91, 92, 93, 99, 101, 102, 113], "abstractprior": [72, 73, 79, 80, 81, 82, 83, 84], "abstractrandomdesign": [32, 33, 35, 42, 43, 49, 94, 95, 96, 97, 98], "abstractrandomforest": [86, 87, 88], "abstractrunhistoryencod": [42, 43, 101, 102, 104, 105], "abstractrunn": [42, 43, 65, 114, 115, 116, 117], "abstractserialrunn": [114, 116, 119, 120], "ac": [90, 93], "accept": [3, 42, 49, 139], "access": [72, 73], "accord": [32, 34, 36, 94, 96, 98], "accordingli": [99, 113, 136], "account": [86, 88, 101, 102, 139], "accuraci": [2, 3, 19, 136, 139, 145], "acfacad": 3, "achiev": [1, 3], "acquisit": [3, 6, 15, 22, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 78, 101, 104, 136], "acquisition_funct": [24, 26, 28, 29, 31, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 65, 136], "acquisition_maxim": [42, 43, 44, 45, 46, 47, 48, 49], "acqusit": [24, 25], "across": [2, 7, 22, 42, 43, 46, 48, 57, 62, 65, 99, 113, 114, 115, 117, 119, 140], "act": [132, 134], "activ": [1, 8, 72, 73, 114, 117, 136, 139, 145], "actual": [68, 78, 114, 115], "ad": [1, 13, 39, 40, 57, 58, 61, 62, 72, 73, 99, 113, 123, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "ad8450": 133, "adam": [136, 139, 145], "adapt": [7, 80, 139, 140, 145], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 61, 62, 65, 99, 113, 132, 136, 139, 140, 145], "add_condit": [132, 139, 145], "add_hyperparamet": [131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "add_running_tri": [99, 113], "add_trial": [99, 113], "addit": [13, 19, 21, 24, 25, 42, 44, 45, 47, 48, 49, 50, 51, 57, 58, 99, 113, 114, 115, 117, 119, 120, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "addition": [3, 16, 101, 102], "additional_config": [42, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 136], "additional_info": [13, 18, 99, 100, 113, 114, 115, 117, 119, 120], "adjust": [94, 97], "advanc": 19, "advantag": 139, "afefef": 144, "affect": [10, 42, 45, 47, 48, 50, 51, 57, 58], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 62, 64, 65, 94, 97, 133, 134, 135, 139, 145], "afterward": [13, 57, 61], "again": [13, 19, 42, 48, 57, 58, 64, 135], "against": [7, 8, 42, 48, 57, 58, 61], "aggreg": [2, 15, 42, 44, 45, 47, 49, 90, 92], "aggress": [42, 46, 49, 139, 154], "agnost": 2, "aka": [114, 115, 117], "al": [8, 24, 28, 29, 68, 78], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 99, 101, 102, 113, 114, 115, 119, 120, 127, 132, 140, 154], "algorithm_kwarg": [114, 119, 120, 132], "algorithmconfigurationfacad": [3, 42, 44], "all": [3, 7, 13, 15, 17, 18, 19, 20, 22, 24, 29, 32, 36, 42, 43, 46, 48, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 72, 73, 80, 85, 86, 87, 88, 99, 101, 102, 113, 114, 115, 116, 117, 118, 119, 120, 121, 125, 131, 132, 133, 136, 139, 140, 141, 144, 151, 155], "alloc": [114, 117, 139], "allow": [24, 29, 57, 58, 121], "along": [9, 66, 67], "alpha": [131, 136, 140, 141, 144], "alreadi": [8, 13, 24, 25, 57, 61, 64, 65, 99, 113, 133, 135, 139], "also": [2, 3, 7, 8, 13, 14, 18, 19, 21, 32, 33, 57, 58, 68, 78, 99, 113, 114, 115, 117, 120, 126, 132, 135, 136, 139, 145], "altern": [1, 15, 132, 140], "although": [13, 57, 58], "alwai": [3, 8, 13, 57, 58, 62, 133], "amend": [57, 58], "among": [114, 115], "amount": [57, 58, 61, 94, 97, 114, 117], "an": [0, 1, 2, 3, 7, 8, 13, 14, 15, 17, 18, 21, 24, 25, 32, 33, 35, 39, 40, 42, 43, 44, 45, 47, 49, 57, 58, 61, 68, 78, 90, 92, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 118, 119, 120, 124, 125, 131, 132, 136, 137, 138, 139, 140, 145, 151, 154, 155], "anaconda": [0, 8], "anaconda3": 0, "andr\u00e9": 154, "ani": [0, 1, 2, 7, 8, 9, 10, 13, 20, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 135, 136, 141, 148], "anneal": [13, 94, 96], "annot": [134, 135, 140, 141, 144, 145], "anoth": [7, 13, 99, 113], "any_budget": [42, 46, 48, 57, 62], "anymor": 21, "anyoptim": 127, "anyth": [18, 72, 73], "append": [65, 101, 102, 139], "appli": [12, 66, 67, 80, 131], "applic": [8, 14], "approach": [6, 42, 49], "approxim": [6, 13], "apt": [0, 1], "ar": [0, 2, 3, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 27, 32, 35, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "arbitrari": [2, 3, 114, 115, 117, 119, 120, 133, 154], "area": [32, 34], "arg": [50, 56, 86, 87, 101, 106, 110], "argsort": 145, "argument": [3, 13, 14, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 65, 72, 73, 114, 115, 117, 119, 120, 121, 140, 145, 148], "around": [114, 115], "arrai": [72, 73, 145], "articl": 154, "artifici": [2, 135], "artur": 6, "arxiv": 6, "ask": [10, 13, 22, 39, 40, 42, 43, 65, 137, 138, 151, 155], "assert": [133, 134, 135, 139], "associ": [13, 19, 65, 121], "assum": [7, 8, 42, 43, 57, 58, 114, 118], "assumpt": [86, 88], "attach": [42, 43, 114, 117], "attempt": 21, "attent": 13, "attribut": [24, 25], "augment": [6, 7, 16, 24, 29], "author": 154, "auto": 132, "automat": [10, 22, 42, 43, 114, 117], "automl": [0, 1, 8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "avail": [13, 18, 42, 48, 57, 58, 114, 115, 116, 117, 144], "averag": [19, 42, 43, 44, 45, 47, 49, 65, 90, 92, 99, 113, 139, 145], "average_cost": [13, 19, 99, 113, 145], "average_pareto_cost": 145, "average_sampl": [68, 78], "avoid": [24, 29], "awar": 2, "axi": 132, "b": [57, 58, 132], "b03e1a": 144, "b10fe9": 144, "b19632": 144, "b2d235": 144, "b3f935": 141, "b61b81": 139, "b636c9": 145, "b6e2c1": 144, "b6f791": 144, "b9cbc7": 141, "b9f3bd": [131, 135], "ba9a35": 141, "back": [2, 13], "backend": [42, 43], "balanc": [24, 26, 27, 30, 42, 44, 45, 47], "bandit": [6, 7], "base": [6, 7, 8, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 126, 132, 140, 154], "baserunn": [114, 117], "bash": [0, 18, 148], "basi": 127, "basic": [13, 15, 42, 44, 45, 47, 49, 57, 58, 61, 133], "batch": [57, 62, 124, 136, 139], "batch_siz": [136, 139, 145], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 65, 68, 70, 78, 80, 94, 97, 134, 154], "bb": 7, "bb0bce": 144, "bb24df": 144, "bbfacad": 3, "bd5027": 144, "bdbb31": 141, "be5418": 144, "bec0fc": [131, 135], "becaus": [12, 13, 21, 72, 73, 99, 113, 114, 115, 118, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "been": [0, 1, 2, 8, 13, 17, 19, 21, 57, 58, 62, 64, 99, 100, 113, 114, 115, 116, 117, 133], "befor": [8, 13, 21, 24, 25, 32, 36, 37, 39, 40, 41, 42, 43, 47, 64, 65, 68, 78, 94, 97, 114, 115, 116, 117, 135, 139, 145], "beforehand": [13, 136, 141], "begin": [32, 36, 94, 95, 97], "behav": [8, 24, 29], "behavior": 10, "behaviour": [10, 20, 42, 43, 57, 58, 61, 62, 65], "behind": [3, 13], "being": [2, 7, 72, 73, 114, 119], "belief": [6, 24, 29, 136], "believ": 136, "below": 19, "benchmark": [121, 132], "benjamin": 154, "best": [3, 4, 7, 13, 24, 26, 27, 32, 36, 42, 43, 46, 48, 49, 57, 62, 65, 131, 132, 133, 134, 135, 140, 141, 145, 148], "beta": [24, 26, 136], "beta_t": [24, 26], "betaintegerhyperparamet": 136, "better": [3, 12, 13, 42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148, 154], "between": [24, 26, 27, 30, 42, 44, 45, 47, 65, 66, 67, 86, 88, 101, 106, 108, 109, 110], "bf189c": 144, "bham": [90, 93], "biedenkapp": 154, "big": [42, 43, 65, 114, 115, 117, 119], "bin": [0, 18, 24, 29, 148], "binari": 140, "binder": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "black": [2, 3, 7, 131], "blackboxfacad": [3, 18, 42, 45, 148], "blob": 127, "blue": [131, 141, 144], "bo": [7, 42, 43], "bohb": [3, 7, 8, 139], "bool": [13, 24, 27, 29, 39, 40, 42, 43, 44, 47, 57, 58, 61, 62, 65, 68, 70, 72, 73, 78, 86, 88, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 134, 135], "boolean": [72, 73], "bootstrap": [21, 42, 44, 47, 86, 88], "both": [2, 3, 14, 15, 57, 58, 64, 116, 139, 145], "botorch": 2, "bound": [13, 24, 26, 79, 84, 99, 113, 123, 126, 145], "box": [2, 3, 7, 131], "bracket": [42, 46, 48, 57, 59, 62, 139, 140, 141], "bridg": [114, 117], "brown": 154, "browser": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "bsd": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "budget": [2, 3, 7, 13, 14, 17, 18, 19, 42, 43, 44, 46, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "budget_exhaust": 65, "budget_subset": [99, 101, 102, 113], "budget_us": 60, "budgets_in_stag": 60, "bug": 8, "build": [0, 1, 132, 136, 139, 140], "bunch": 13, "burn": [68, 78], "burning_step": [68, 78], "c": [3, 4, 90, 93, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "c13402": 144, "c1d379": 144, "c20683": 144, "c22923": 144, "c284f2": 144, "c287f1": 144, "c31df1": 144, "c4bc7d": 144, "c714f5": [131, 135], "c7846c": 144, "c7a507": 144, "cabaca": 131, "cach": [99, 113], "cacul": 60, "calcul": [13, 17, 24, 25, 99, 113, 131, 132, 133, 136, 139, 141, 148], "calculate_pareto_front": [57, 58, 127], "call": [7, 13, 17, 22, 24, 25, 32, 33, 37, 39, 40, 41, 42, 43, 49, 50, 51, 57, 58, 65, 66, 67, 72, 73, 74, 79, 80, 84, 89, 114, 115, 116, 117, 119, 120, 124, 132, 133, 135, 136, 149, 150, 151, 155], "callabl": [13, 35, 42, 43, 114, 119, 120], "callback": [22, 35, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 65, 135, 137, 138, 151, 155], "can": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 31, 32, 33, 34, 36, 37, 42, 43, 46, 48, 57, 58, 62, 65, 68, 78, 99, 113, 114, 115, 116, 117, 119, 121, 125, 132, 133, 135, 136, 139, 144, 145, 149, 151, 154], "cancel_command": 21, "candid": [32, 34, 38], "cannot": [8, 21], "canon": [79, 81], "capabl": [2, 114, 117], "care": [8, 13, 42, 43], "carl": [6, 24, 29], "carlo": [7, 68, 78], "carolin": 154, "case": [0, 1, 2, 3, 13, 14, 15, 17, 21, 24, 29, 32, 36, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 64, 65, 99, 100, 113, 114, 115, 116, 117, 121, 135, 140, 151], "cat": 3, "catch_warn": [136, 139, 140, 145], "categor": [2, 3, 32, 36, 42, 45, 132, 136, 139, 140, 145], "categori": 136, "categoricalhyperparamet": 136, "cc": [24, 28], "cd": [0, 1], "cdd1aa": 141, "cdf": [24, 30], "ce39dc": 136, "ce6578": 141, "ce9ad7": 144, "ceil": [139, 145], "center": 136, "certain": 22, "chain": [7, 68, 78], "chain_length": [68, 78], "challeng": [13, 32, 33, 34, 35, 36, 37, 38, 42, 43, 45, 47, 57, 58, 61, 94, 95, 114, 115, 123], "challenger_callback": 35, "challengerlist": [13, 32, 33, 35], "chanc": 13, "chang": [0, 1, 3, 10, 13, 20, 57, 58, 62, 72, 73, 99, 113, 132, 136], "channel": 1, "channel_prior": 1, "chapter": [7, 22], "char": 123, "characterist": 2, "check": [0, 1, 13, 57, 58, 64, 65, 94, 95, 96, 97, 98, 99, 113, 114, 115, 121, 135], "child": [8, 21, 50, 51, 114, 115, 132, 139, 145], "chmod": 18, "choic": 139, "choos": [42, 45, 68, 78, 139], "chosen": [42, 45, 139, 151], "chunk": 124, "circumv": [32, 36], "cite": 154, "class": [13, 15, 20, 24, 32, 39, 42, 50, 57, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "classa": 140, "classb": 140, "classifi": [4, 132, 136, 139, 140, 145], "claus": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "clf": 140, "cli": 7, "client": [21, 42, 43, 114, 117], "clone": 1, "close": [42, 43, 114, 117], "closest": [3, 8, 139], "closur": 35, "cluster": [22, 42, 43, 114, 117, 139], "code": [4, 8, 10, 13, 18, 19, 32, 36, 57, 58, 68, 70, 78, 79, 84, 114, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151], "coef": 132, "coef0": 132, "colab": 8, "collect": [13, 72, 73, 74, 114, 115, 117], "com": [0, 1, 127, 154], "combin": [7, 42, 43, 57, 58, 65, 90, 91, 92, 93, 99, 113, 114, 115, 117, 121, 132, 139, 140, 154], "come": [19, 114, 117], "comma": [18, 120], "command": [0, 1, 2, 7, 21, 22], "commandlin": 2, "common": [0, 3, 114, 115, 117, 136], "commun": [12, 133], "communc": 21, "compar": [7, 13, 19, 42, 46, 49, 57, 58, 62, 123, 124, 127, 139], "comparison": [8, 42, 48, 57, 58], "compil": 8, "complet": [10, 13, 19, 42, 43, 60, 65, 114, 115, 116, 117], "complex": [2, 13, 22, 114, 115], "compli": [114, 117], "compon": [3, 18, 22, 42, 43, 44, 64, 66, 67, 68, 69, 70, 78, 86, 88, 135], "composit": [42, 45], "compromis": 7, "comput": [13, 24, 25, 26, 28, 79, 80, 84, 99, 113, 127], "concret": [32, 33, 66, 67], "conda": 0, "condit": [2, 72, 73, 123, 132, 139, 140, 145], "conduct": 136, "confer": 154, "confid": [13, 24, 26, 42, 49], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 61, 62, 64, 65, 99, 100, 111, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "config_copi": 132, "config_dict": 132, "config_gener": [13, 57, 58], "config_id": [99, 100, 113, 131, 139, 141], "config_instance_seed_budget_kei": 127, "config_selector": [13, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58], "configs_arrai": [101, 102], "configselector": [12, 13, 42, 43, 45, 57, 58, 64], "configspac": [3, 4, 32, 33, 34, 35, 36, 37, 38, 66, 67, 68, 69, 70, 78, 86, 88, 89, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 62, 64, 65, 79, 80, 84, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "configurationspac": [2, 3, 4, 32, 33, 35, 36, 37, 66, 67, 68, 69, 70, 78, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "consequ": 2, "consid": [13, 17, 19, 21, 42, 44, 47, 49, 57, 58, 86, 88, 99, 101, 102, 113, 116, 139, 140, 145], "considered_st": [13, 101, 102, 104, 105, 107, 108, 109], "consist": [10, 24, 31, 32, 33, 42, 43, 136, 139, 140, 145, 154], "consol": 20, "constant": [24, 29, 32, 36, 94, 97, 139, 140, 145], "constant_valu": [72, 73], "constant_value_bound": [72, 73], "constantkernel": [72, 73], "constraint": [121, 140], "construct": [3, 114, 117], "consum": [114, 115], "contain": [15, 42, 43, 65, 72, 73, 99, 113, 114, 115, 116, 117, 127], "content": 148, "context": [7, 121], "contin": [24, 29], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 61, 62, 64, 99, 113, 132, 133, 136, 137, 138, 139, 144, 151, 154, 155], "contrast": 3, "contribut": [8, 154], "control": [10, 24, 26, 27, 30, 42, 44, 45, 46, 47, 48, 57, 58, 60, 62], "convent": [32, 34], "convergencewarn": 136, "convert_configurations_to_arrai": 123, "copi": [9, 24, 28, 57, 58], "copyright": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "core": [0, 3, 12, 42, 43, 65, 114, 115, 117, 119, 154], "corner": [13, 50, 53], "correctli": 21, "correspond": [66, 67, 79, 81, 126, 135], "cosin": [94, 96], "cosineannealingrandomdesign": [94, 96], "cost": [7, 13, 15, 16, 18, 22, 42, 43, 47, 57, 58, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "costs_i": 145, "costs_x": 145, "could": [3, 8, 13, 18, 114, 118, 121, 140], "count": [17, 121], "count_available_work": [114, 115, 116, 117], "count_instance_featur": 121, "count_object": 121, "counterproduct": 21, "covari": [66, 67], "covariance_typ": [66, 67], "cover": [42, 45, 47, 48, 50, 51], "cpu": [11, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "cputim": 65, "cputime_limit": 121, "crash": [8, 101, 102, 114, 118, 132], "crash_cost": 121, "creat": [0, 1, 8, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 117, 119, 120, 132, 135, 136, 139, 140, 145], "criteria": 22, "critic": 20, "cross": [2, 7, 121, 136, 137, 138, 139, 140, 145, 151, 155], "cross_val_scor": [4, 132, 136, 139, 140, 145], "crowd": [57, 58, 127, 144], "crucial": [3, 20, 42, 48, 57, 58, 139], "cryptic": 8, "curl": 0, "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 42, 43, 49, 57, 58, 59, 61, 62, 65, 68, 70, 94, 98, 99, 100, 101, 102, 113, 134], "custom": [15, 21, 22, 42, 43, 125, 135, 137, 138, 151, 155], "customcallback": [13, 134], "customiz": 20, "cut": [18, 57, 58, 148], "cv": [4, 7, 132, 136, 139, 140, 145], "d": [0, 18, 20, 24, 26, 148], "d0": 16, "d1": [16, 124], "d2": [16, 124], "d25f7e": 144, "d3": 16, "d4": 16, "d4166e": 144, "d5d1f3": 144, "d645c9": 144, "d7ecca": [131, 135], "da5bdf": 133, "danni": 6, "dask": [21, 42, 43, 114, 117, 119, 121], "dask_client": [42, 43, 44, 45, 46, 47, 48, 49, 114, 117], "dask_data_to_scatt": [114, 115, 117, 119], "dask_runn": [42, 43], "daskparallelrunn": [114, 117], "data": [3, 4, 7, 10, 13, 14, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 44, 47, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 148], "data_to_scatt": [42, 43, 65], "dataclass": 133, "dataset": [2, 4, 7, 16, 42, 43, 65, 114, 115, 117, 119, 121, 132, 136, 139, 142, 143, 145, 151, 155], "db0045": 144, "dc0cd8": 144, "dc55be": 144, "dc7dee": 144, "ddd02b": 144, "de": [42, 43, 65, 114, 115, 117, 119], "deactiv": 139, "debug": [20, 42, 43], "decai": [24, 29], "decay_beta": [24, 29, 136], "decid": [13, 42, 43, 65, 114, 115, 154], "decis": [114, 115, 116, 117], "declar": [18, 72, 73, 148], "decoupl": 13, "decreas": [94, 96, 97, 98], "deep": [3, 72, 73, 139], "def": [3, 4, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "default": [3, 8, 13, 14, 15, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 92, 93, 94, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "default_config": 136, "default_cost": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "default_valu": 136, "defaultinitialdesign": [42, 44, 49, 50, 52], "defaut": [32, 36], "defin": [3, 16, 19, 24, 29, 32, 33, 36, 42, 43, 65, 80, 99, 111, 114, 115, 121, 132, 133, 136, 139, 140, 145], "degre": 132, "delet": [114, 117], "deng": 154, "densiti": [24, 29], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 32, 33, 42, 45, 66, 67, 90, 91, 114, 118, 121, 132], "deprecationwarn": [132, 134], "depth": [42, 44, 47, 86, 88, 132], "deriv": [10, 135, 136], "desalvo": 6, "descent": [142, 143, 151, 155], "describ": [42, 43, 65], "descript": 8, "design": [3, 6, 7, 22, 32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 64, 94, 95, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "detail": [1, 3, 7, 24, 28, 29, 32, 33, 42, 48, 139], "determin": [2, 8, 14, 42, 43, 57, 58, 60, 68, 72, 73, 78, 116], "determine_hb": 60, "determine_hyperband_for_multifidel": 60, "determinist": [4, 8, 121, 131, 133, 135, 141, 144, 148], "dev": 1, "devdoc": [50, 56], "develop": [57, 58, 154], "deviat": [66, 67, 79, 83, 136], "df326a": 131, "diagon": [66, 67], "dict": [24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 124, 132, 134, 140, 144, 145], "dictat": [114, 115, 117], "dictionari": [15, 99, 113, 124, 132, 134], "did": [3, 10], "difan": 154, "diff": 124, "diff_b_a": 132, "differ": [3, 7, 8, 13, 16, 17, 18, 39, 40, 42, 43, 57, 58, 86, 88, 90, 91, 114, 115, 121, 123, 124, 136, 139, 140, 145], "differenti": [13, 32, 34], "differentialevolut": [32, 34], "differentialevolutionsolv": [32, 34], "digit": [136, 139, 140, 145], "digitsdataset": 140, "dimens": [24, 26, 66, 67, 132, 133], "dimension": [2, 13, 42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 133], "directli": [1, 3, 13, 14, 15, 18, 114, 119], "directori": [8, 65, 121], "disabl": [2, 20, 42, 45, 47, 48, 50, 51, 134], "disable_existing_logg": 20, "discard": [2, 42, 46, 48, 57, 60, 62], "discov": 8, "discrep": 13, "discret": [24, 29, 136], "discrete_bins_factor": [24, 29], "discuss": [8, 22], "disk": [99, 113], "displai": 20, "distanc": [57, 58, 101, 102, 127, 144], "distribut": [9, 13, 42, 43, 65, 79, 81, 83, 86, 88, 114, 115, 117, 119, 139], "dive": [3, 13], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 65, 114, 115, 117, 119, 135, 136, 148], "doc": [50, 54], "docstr": [99, 113], "document": [1, 3, 32, 34, 57, 59], "doe": [7, 8, 20, 21, 24, 31, 32, 34, 35, 65, 94, 97, 99, 113, 114, 117], "dog": 3, "domain": 133, "don": [3, 8, 135], "done": [18, 21, 42, 43, 57, 61, 114, 115, 116, 117, 148], "down": 135, "download": [0, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "drastic": 13, "drawn": [42, 43, 44, 45, 47, 68, 70, 80, 94, 98], "drive": 0, "due": [21, 32, 34, 140], "dummi": [42, 49, 141], "dump": 0, "dure": [8, 13, 32, 33, 36, 37, 42, 43, 49, 65, 86, 88], "dynam": [114, 117], "dynamicmodulusrandomdesign": [94, 97], "dynamicprobabilityrandomdesign": [94, 98], "e": [0, 1, 2, 7, 12, 13, 15, 18, 21, 24, 27, 42, 46, 48, 57, 62, 64, 79, 81, 114, 115, 140], "e06ac3": 144, "e149e": 144, "e19804": 144, "e1dc2b": 131, "e4c3a3": 144, "e4deb": 144, "e501": [101, 102], "e50a55": 131, "e591ad": 144, "e5c425": 140, "e66a0": 131, "e6c407": 144, "e8a37c": 144, "e9336a": 145, "e990dd": 144, "each": [0, 1, 7, 13, 14, 16, 19, 24, 29, 32, 35, 37, 42, 43, 46, 48, 57, 58, 60, 62, 64, 65, 68, 70, 78, 90, 91, 93, 94, 98, 99, 113, 114, 117, 121, 145], "earli": [2, 42, 49], "early_stop": 140, "easi": 3, "easieast": 134, "easiest": 20, "easili": [13, 121], "eb4be3": 144, "echo": [18, 120, 148], "ed19a5": 144, "ed629c": 144, "educ": 136, "eed864": 144, "effici": [2, 3, 12, 32, 34, 57, 58, 99, 113, 154], "eggensperg": 154, "ei": [24, 25, 27, 42, 44, 45, 47], "eight": 3, "eip": [24, 27, 101, 104], "either": [1, 3, 8, 42, 43, 68, 78, 99, 113, 114, 119], "elasticnet": 140, "element": [114, 119], "els": [18, 20, 132, 141, 145], "embed": [114, 115, 117], "emce": [68, 78], "emphas": 3, "empir": [13, 24, 29, 99, 113], "emploi": 7, "empti": [18, 57, 61, 64, 99, 113, 114, 115, 116, 117, 119, 120, 132], "enabl": [1, 18, 42, 44, 47, 86, 88, 99, 113], "encapsul": [114, 115], "encod": [3, 22, 42, 43, 44, 45, 47, 49], "encount": 132, "end": [13, 32, 33, 39, 40, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "end_modulu": [94, 97], "endeavor": [114, 115], "endtim": [13, 99, 100, 113], "enforc": [8, 121], "enough": [7, 42, 49, 114, 115], "ensur": [8, 11, 24, 29, 121], "enter": 0, "entri": [2, 3], "enumer": 144, "env": 18, "environ": [0, 1, 3, 4, 42, 43, 121, 131, 134, 135, 136, 139, 141, 145, 148], "environment": [42, 43, 65], "epm": 13, "epoch": [7, 14, 121, 142, 143, 151, 155], "eps_pur": [86, 88], "equal": [60, 99, 113], "equalscondit": [139, 145], "error": [8, 20, 21], "error_scor": [136, 139, 145], "essenti": [0, 39, 40], "estim": [72, 73, 86, 88, 101, 102], "et": [8, 24, 28, 29, 68, 78], "eta": [42, 46, 48, 57, 59, 60, 62, 139, 140, 141], "eta0": 140, "etc": [64, 72, 73, 121], "eval_gradi": [72, 73], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 61, 62, 64, 72, 73, 94, 95, 96, 97, 98, 99, 100, 113, 114, 119, 121, 131, 132, 133, 134, 139, 140, 144, 145], "even": [7, 9, 13, 16, 19, 21], "event": [57, 58, 61, 62], "eventu": [114, 115], "ever": [94, 97], "everi": [3, 13, 42, 43, 57, 58, 65, 94, 96, 97, 114, 115, 117, 119], "everyth": [20, 148], "everytim": [13, 18, 57, 58, 61, 120], "evolut": [13, 32, 34], "exact": [10, 42, 43, 65], "exactli": [15, 57, 61], "exampl": [3, 7, 8, 10, 13, 14, 15, 16, 17, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "examples_jupyt": 151, "examples_python": 151, "exce": 65, "exceed": [65, 132], "except": [18, 42, 43, 114, 116, 117, 136], "execut": [2, 8, 13, 18, 21, 42, 43, 48, 65, 99, 113, 114, 115, 116, 117, 119, 120, 138, 143, 147, 150, 152, 155], "exhaust": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "exist": [57, 61, 65, 99, 113, 132, 135], "exloit": [24, 27], "exp": 132, "expand": [16, 57, 58, 62, 121], "expect": [3, 8, 13, 24, 27, 42, 43, 44, 45, 47, 86, 88, 101, 104, 114, 115], "expens": [6, 7], "experi": [13, 20, 42, 47], "experiment": 6, "expert": 3, "explain": [3, 13], "explicitli": [42, 43, 114, 117, 132, 134], "exploit": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "explor": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "expon": [79, 84], "exponenti": [79, 80, 84], "export": 0, "ext": 20, "extend": 7, "extens": 7, "f": [24, 27, 30, 68, 70, 78, 79, 80, 81, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "f09c3b": [131, 135], "f1": [18, 144, 148], "f2": [18, 144, 148], "f3c025": 144, "f3c23b": 144, "f5d5f9": 144, "f69e52": 144, "f72805": [131, 135], "f79367": 141, "f_": [24, 27, 30], "facad": [8, 10, 13, 14, 15, 20, 65, 121, 131, 132, 136, 139, 144, 145], "fact": [13, 57, 61], "factor": [24, 29, 94, 98], "factori": [13, 50, 53, 99, 100], "factorialinitialdesign": [50, 53], "fail": [57, 58, 114, 117, 118, 121], "falkner": [68, 70, 78, 80], "fall": 2, "fals": [8, 10, 20, 24, 27, 29, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 62, 65, 68, 72, 73, 74, 75, 76, 77, 78, 86, 88, 99, 113, 114, 117, 121, 125, 132, 133, 134, 135], "far": [13, 19, 24, 26, 27, 42, 46, 48, 57, 62, 65, 100, 134], "fashion": [42, 43, 65, 114, 115, 116, 117, 119], "fast": 21, "faster": 12, "fault": 0, "fe2841": 144, "featur": [8, 13, 16, 18, 42, 44, 47, 66, 67, 68, 69, 70, 78, 85, 86, 88, 101, 102, 120, 121, 123, 140], "fec302": 144, "feedback": 8, "feedstock": 1, "feel": 8, "fef2f4": 131, "feurer": 154, "few": [2, 7, 42, 49, 140], "fewer": 121, "ff3901": 144, "ff709c": 144, "fi": [18, 148], "fidel": [2, 3, 7, 13, 19, 22, 42, 43, 48, 57, 58, 60, 61, 62, 65, 99, 113, 121, 139, 140, 141], "fifo": [114, 115], "figur": [131, 139, 141, 144], "file": [2, 9, 10, 18, 22, 42, 43, 65, 99, 113, 121, 132, 135, 138, 143, 147, 150, 152, 155], "filenam": [18, 20, 57, 58, 65, 99, 113, 148], "fill": [42, 43, 57, 58, 62, 65, 116], "filterwarn": [136, 139, 140, 145], "final": [3, 94, 96], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 60, 64, 131, 132, 133, 134, 135, 141, 148], "finish": [10, 13, 21, 39, 40, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 139, 140, 141, 144], "first": [3, 8, 10, 13, 17, 18, 42, 43, 57, 58, 61, 62, 64, 72, 73, 99, 113, 114, 118, 119, 124, 132, 135, 144, 148], "firstruncrashedexcept": [114, 118], "fit": [3, 9, 24, 25, 66, 89], "five": [16, 42, 45, 47, 48, 50, 51, 139, 145], "fix": [72, 73], "flag": [8, 135], "flexibl": [2, 68, 70, 78, 80], "float": [3, 4, 18, 24, 26, 27, 28, 29, 30, 31, 32, 36, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "flow": 17, "fmin": [24, 25], "fold": [136, 139, 145], "folder": [0, 65], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 61, 62, 86, 88, 114, 115, 117, 120, 148, 154], "forc": [114, 117], "force_upd": [99, 113], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 66, 67, 86, 87, 88, 132, 136, 154], "forev": [57, 61], "forgotten": 21, "fork": 21, "form": [7, 18, 79, 81, 120], "format": [13, 20, 124], "formatt": 20, "forward": 13, "found": [7, 8, 10, 13, 24, 29, 42, 43, 57, 58, 61, 65, 94, 97, 131, 135, 141, 148, 154], "four": [3, 66, 67], "frac": [24, 27, 30], "fraction": [94, 97], "frame": 121, "framework": [2, 3, 7, 68, 70, 78, 80], "frank": [6, 154], "free": [7, 8, 9, 42, 46], "freeze_support": 21, "freiburg": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 34, 36, 42, 43, 49, 50, 51, 57, 58, 61, 62, 64, 65, 68, 70, 72, 73, 80, 99, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 149, 150, 151, 152, 155], "front": [15, 57, 58, 127, 144, 145], "frozen": 21, "full": [24, 25, 26, 27, 28, 29, 30, 31, 66, 67, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 70, 72, 73, 78, 99, 101, 102, 104, 113, 114, 115, 116, 117, 118, 119, 120, 121, 132, 133, 135, 136, 137, 138, 139, 140, 141, 145, 146, 147, 149, 150, 151, 155], "function_bas": 132, "function_sampl": [68, 70], "further": [18, 24, 28, 29, 50, 54, 56, 94, 97, 114, 115, 117, 118, 119, 120, 121], "furthermor": [1, 57, 58, 134], "futur": [57, 58, 114, 117], "g": [0, 2, 6, 7, 12, 13, 15, 18, 21, 140], "gain": 136, "galleri": 155, "gamma": [79, 81, 132], "gamma_valu": 132, "gammaprior": [79, 81], "gaussian": [3, 6, 7, 13, 42, 45, 66, 67, 68, 69, 70, 72, 73, 78, 80, 131], "gaussianprocess": [42, 45, 68, 70, 78], "gcc": 8, "gcc_linux": [0, 1], "gener": [0, 3, 7, 8, 10, 12, 13, 14, 35, 42, 43, 50, 54, 56, 57, 58, 90, 91, 114, 115, 116, 117, 121, 132, 153, 154], "geq": [24, 30], "get": [0, 1, 13, 32, 34, 38, 57, 58, 62, 72, 73, 114, 117, 125, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_": [42, 43], "get_acquisition_funct": [42, 43, 44, 45, 47, 49, 136], "get_acquisition_maxim": [42, 43, 44, 45, 47, 49], "get_callback": [57, 58], "get_conditional_hyperparamet": 123, "get_config": [13, 99, 113, 131, 141, 144, 145], "get_config_hash": 123, "get_config_id": [99, 113], "get_config_selector": [42, 43, 45], "get_configs_per_budget": [99, 113], "get_configur": [101, 102], "get_cost": [99, 113, 134], "get_default_configur": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_dictionari": [132, 134], "get_finish": [114, 115, 116, 117], "get_gradi": [79, 80, 84], "get_incumb": [15, 57, 58, 134, 135, 144], "get_incumbent_instance_seed_budget_kei": [57, 58], "get_incumbent_instance_seed_budget_key_differ": [57, 58], "get_initial_design": [42, 43, 44, 45, 47, 48, 49, 132, 136, 139, 145], "get_inst": 140, "get_instance_data": 140, "get_instance_featur": 140, "get_instance_seed_budget_kei": [57, 58, 62, 99, 100, 113], "get_instance_seed_kei": [99, 100], "get_instance_seed_keys_of_interest": [57, 58, 62], "get_intensifi": [42, 43, 44, 45, 46, 47, 48, 49, 133, 136, 141, 145], "get_kernel": [42, 45], "get_log_prob": [79, 80, 84], "get_logg": 125, "get_min_cost": [99, 113], "get_model": [42, 43, 44, 45, 47, 49], "get_multi_objective_algorithm": [42, 43, 44, 45, 47, 49, 144], "get_n_trials_for_hyperband_multifidel": [60, 141], "get_param": [72, 73, 74], "get_random_design": [42, 43, 44, 45, 47, 49], "get_rejected_config": [57, 58], "get_runhistory_encod": [42, 43, 44, 45, 47, 49], "get_running_config": [99, 113], "get_running_tri": [99, 113], "get_stat": [57, 58, 59, 61, 62], "get_trial": [42, 48, 99, 113], "get_trials_of_interest": [57, 58, 62], "get_typ": 123, "git": 1, "github": [1, 8, 50, 56, 127, 154], "githubusercont": 0, "give": [13, 17, 20, 22, 64, 121], "given": [7, 18, 24, 25, 26, 32, 36, 42, 48, 57, 58, 62, 66, 67, 94, 96, 98, 99, 101, 102, 113, 114, 115, 119, 120, 126, 127, 140], "global": [2, 7, 20, 32, 34, 57, 58], "go": [13, 21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "goal": 7, "good": [7, 139], "govern": 7, "gp": [7, 68, 78], "gracefulli": [39, 40, 135], "gradient": [32, 34, 72, 73, 79, 80, 84, 142, 143, 151, 155], "greater": [79, 81, 121], "greather": [79, 81, 121], "ground": [131, 141], "group": [42, 43, 57, 62, 65, 114, 115, 117, 119], "guarante": [13, 22, 99, 113], "guid": [8, 13], "guidelin": 154, "gxx_linux": [0, 1], "h": 154, "ha": [0, 1, 2, 19, 21, 32, 33, 42, 43, 50, 51, 57, 58, 62, 65, 72, 73, 100, 114, 115, 117, 119], "had": 140, "halv": [7, 14, 17, 42, 46, 48, 57, 60, 62, 139, 140, 141], "ham": [72, 74], "hammingkernel": [42, 45, 72, 74], "handl": [64, 99, 113, 114, 115, 117, 119, 120], "handler": 20, "hang": 21, "hannov": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "happen": [8, 13, 60], "hard": [57, 58], "has_condit": [72, 73, 74, 75, 76, 77], "has_config": [99, 113], "hash": [42, 43, 121, 123], "hasn": 8, "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 64, 65, 99, 100, 113, 114, 115, 116, 117, 119, 133, 136, 139, 140, 145], "haven": 1, "hb": [7, 141], "hbfacad": 3, "help": [8, 12], "helper": [94, 95], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 64, 131, 135, 136, 140, 141, 148, 154], "heurist": [32, 34], "hi": [79, 80, 84], "hidden_layer_s": [136, 139, 145], "hierarch": 2, "hierarchi": [72, 73], "high": [3, 12, 13, 21], "higher": [12, 13, 132], "highest": [13, 19, 42, 43, 46, 48, 57, 58, 62, 64, 65, 99, 113], "highest_budget": [42, 46, 48, 57, 62, 139], "highest_observed_budget": [42, 46, 48, 57, 59, 62], "highest_observed_budget_onli": [99, 113], "highli": 3, "highlight": [20, 145], "hint": 22, "histor": 121, "histori": [15, 19, 65], "hold": [13, 22, 24, 28, 42, 43, 57, 61, 65, 132], "home": [0, 132, 134], "hoo": 154, "hope": 9, "horizont": 3, "horsesho": [79, 82], "horseshoeprior": [79, 82], "host": 139, "hostedtoolcach": [132, 139], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 113, 114, 115, 117, 120, 124, 133, 139, 141, 144, 145, 148, 151], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 62, 64, 120, 144], "hp": [7, 13, 136], "hpbandster": [2, 8], "hpofacad": [3, 13, 131, 134, 135, 144, 145], "hssl22": [6, 24, 29], "html": [6, 50, 54, 56, 154], "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 90, 93, 127, 139, 154], "hundr": 35, "hutter": [6, 8, 68, 70, 78, 80, 154], "hvarfner": [6, 24, 29], "hybrid": 6, "hyperband": [3, 6, 7, 14, 42, 46, 48, 57, 60, 62, 139, 142, 143, 151, 155], "hyperband_info": 60, "hyperband_util": 141, "hyperbandfacad": [3, 42, 46, 49], "hypercub": [13, 50, 54], "hypermapp": 2, "hyperopt": 2, "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 85, 86, 88, 123, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148, 154], "hyperparameter1": [18, 120], "hyperparameter_length_scal": [72, 74], "hyperparameteroptimizationfacad": [3, 4, 42, 47, 48, 131, 132, 133, 134, 135, 136, 144, 145], "i": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 24, 29, 32, 33, 34, 39, 40, 42, 43, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 85, 86, 88, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "id": [16, 99, 100, 113], "idea": [3, 8, 13, 154], "identifi": [16, 121], "idiom": 21, "ids_config": [99, 113], "ignor": [18, 19, 42, 43, 57, 61, 64, 65, 72, 73, 131, 136, 139, 140, 141, 145], "illustr": [136, 139, 141], "imagin": 13, "immedi": 116, "implement": [2, 3, 8, 13, 24, 25, 32, 33, 36, 37, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 78, 79, 81, 83, 86, 88, 90, 93, 114, 115, 117, 139], "impli": [9, 139], "import": [3, 4, 8, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "importantli": [99, 113], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 101, 104], "imput": 123, "inact": [13, 42, 43, 123], "includ": [13, 21, 57, 58, 59, 61, 62, 65, 66, 67, 85, 136, 140, 154], "incondit": [132, 139, 145], "inconsist": [65, 131, 135, 141, 148], "incorpor": [13, 42, 43, 49, 57, 58, 66, 67, 68, 69, 70, 78, 86, 88, 99, 113, 121, 136], "increas": [42, 49, 94, 97], "increment": [99, 113], "incremental_update_cost": [99, 113], "incumb": [4, 7, 13, 15, 18, 19, 24, 27, 28, 30, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 100, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "incumbent2": 135, "incumbent_cost": [131, 132, 133, 135, 136, 139, 140, 141, 148], "incumbent_select": [42, 46, 48, 57, 59, 62, 139], "incumbents_chang": [57, 58], "index": 65, "indic": [42, 43, 94, 95, 97, 114, 118, 140, 145], "individu": [42, 46, 48, 57, 62, 99, 113], "inf": [19, 94, 97, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "inferior": [57, 58], "infin": [19, 132], "influenc": [13, 15, 141], "info": [13, 20, 39, 40, 42, 43, 60, 65, 99, 113, 114, 115, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 62, 65, 99, 100, 113, 114, 115, 117, 119, 120, 132], "inherit": [13, 72, 73], "initi": [3, 22, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 62, 64, 65, 94, 95, 96, 97, 98, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "initial_design": [42, 43, 44, 45, 46, 47, 48, 49, 132, 136, 139, 145], "initialdesign": [42, 43], "input": [0, 2, 7, 13, 24, 26, 42, 46, 48, 57, 60, 61, 62, 66, 67, 68, 70, 80, 85, 86, 88, 101, 105, 126, 133], "insid": [1, 13, 21, 134], "instal": 8, "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 85, 86, 88, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 133, 135, 136, 139, 140, 141, 145, 148], "instance_featur": [16, 18, 66, 67, 68, 69, 70, 78, 86, 88, 89, 120, 121, 123, 140], "instance_seed_budget_kei": [99, 113], "instance_seed_kei": [57, 58], "instance_seed_ord": [42, 46, 48, 57, 59, 62], "instanceseedbudgetkei": [57, 58, 62, 99, 100, 113, 127], "instanceseedkei": [57, 58, 99, 100], "instanti": [3, 7, 13, 42, 43, 45, 99, 100], "instantiat": [72, 73], "instantli": [114, 115, 116, 117], "instead": [3, 7, 15, 18, 20, 21, 64, 72, 73, 132, 134, 139, 141], "instruct": 1, "int": [3, 4, 24, 26, 32, 33, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "integ": [3, 94, 96, 97, 98, 125, 132, 136, 139, 145], "integr": [2, 13, 24, 28, 68, 78, 134, 136], "integratedacquisitionfunct": [24, 28], "intellig": 154, "intend": [114, 117], "intensif": [7, 13, 17, 39, 40, 57, 61, 139], "intensifi": [3, 12, 14, 15, 20, 22, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 65, 114, 115, 116, 117, 121, 133, 134, 135, 136, 139, 141, 144, 145], "intensifier_object": 139, "intenum": [99, 111], "interact": [3, 114, 115], "interest": [57, 58, 62], "interfac": [2, 3, 7, 15, 22, 133], "interleav": [32, 33, 35, 36, 42, 43, 44, 45, 47, 94, 95, 96, 97, 98], "intermedi": 17, "intern": [2, 14, 16, 42, 43, 50, 51, 57, 58, 59, 61, 62, 65, 66, 67, 68, 72, 73, 78, 79, 80, 84, 85, 90, 91, 93, 114, 115, 117, 119, 120, 121, 139], "interpret": [18, 42, 43], "interrupt": 10, "intersect": [57, 58], "interv": 133, "intiti": 64, "intuit": 136, "invalid": 132, "invers": [101, 106], "invit": 3, "involv": [11, 13, 64], "invscal": [139, 140, 145], "io": [50, 56], "ipynb": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "iri": [4, 132], "is_run": [114, 115, 116, 117], "isinst": 132, "isol": [114, 115], "issu": [8, 13, 32, 36, 42, 47, 154], "item": [13, 100, 131, 132, 139, 141], "iter": [7, 13, 19, 32, 33, 35, 36, 37, 39, 40, 42, 43, 45, 47, 57, 58, 61, 64, 90, 91, 93, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 124], "iter_result": [114, 115, 116, 117], "itertool": 140, "its": [7, 13, 16, 19, 21, 68, 72, 73, 78, 99, 113, 114, 115, 116, 117, 131, 132], "j": 6, "jamieson": 6, "jasper": [24, 28], "java": 8, "jdk": [90, 93], "jmlr": [6, 154], "jmlr22a": 154, "job": [21, 114, 117], "job_cl": 21, "job_class": 21, "journal": [32, 34, 154], "json": [99, 113], "judg": [2, 42, 43, 65], "jupyt": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "just": [13, 15, 21, 42, 49, 134], "k": [6, 13, 32, 34, 72, 73, 99, 113, 131, 141, 154], "k1": [72, 73], "k2": [72, 73], "k_gradient": [72, 73], "kakad": 6, "katharina": 154, "keep": [13, 15, 20, 21, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 86, 88, 114, 115, 116, 117, 119], "kei": [15, 18, 42, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 99, 100, 113, 127, 148], "kernel": [42, 45, 68, 69, 70, 78, 132], "klein": [68, 70, 78, 80], "know": [0, 1, 12, 72, 73, 131, 133, 141], "know06": [2, 6, 15], "knowl": 6, "knowledg": 136, "known": 7, "kraus": 6, "kwarg": [3, 24, 25, 39, 41, 50, 56, 72, 73, 86, 87, 101, 106, 110, 114, 119, 132], "l": [0, 6], "l1_ratio": 140, "label": [139, 144, 145], "landscap": 6, "languag": 2, "larg": [32, 34, 131], "larger": [32, 34], "last": [68, 78, 132, 135], "lastli": [57, 58], "latest": [8, 57, 58], "latin": [13, 50, 54], "latinhypercub": [50, 54], "latinhypercubeinitialdesign": [50, 54], "launch": [21, 114, 115, 116, 117], "layer": [136, 140, 142, 143, 151, 155], "lbfg": [139, 145], "lcb": [24, 26], "lead": [12, 13], "leaf": [42, 44, 47, 86, 88], "learn": [3, 24, 28, 136, 139, 154], "learning_r": [3, 139, 140, 145], "learning_rate_init": [136, 139, 145], "least": [7, 99, 113, 139], "leav": 136, "left": [10, 24, 27, 42, 43, 72, 73], "legal": 3, "legend": [139, 144, 145], "len": [99, 113, 139], "length": [42, 44, 45, 47, 49, 68, 72, 74, 78, 90, 92], "length_scal": [72, 74, 75, 76], "length_scale_bound": [72, 74, 75, 76], "less": 12, "let": [0, 1, 7, 13, 131, 132, 133, 134, 136, 139, 141, 145, 148], "level": [22, 42, 43, 124, 125], "levelnam": 20, "leyton": 154, "li": [6, 57, 58], "lib": [132, 139], "librari": 22, "like": [0, 1, 13, 18, 19, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 117, 119, 132, 134, 136], "likelihood": [68, 70], "limit": [3, 8, 13, 18, 21, 114, 115, 117, 119, 120], "lindauer": [6, 154], "line": [2, 6, 7, 21, 22, 132], "linear": 132, "linear_model": 140, "linearli": [101, 106, 108, 109, 110], "lineno": 20, "linestyl": 145, "link": 8, "linspac": [131, 141], "linux": [0, 1], "lion": 154, "list": [8, 12, 15, 18, 24, 25, 28, 32, 33, 35, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 126, 127, 131, 139, 140, 141, 145], "liter": [42, 43, 125], "literatur": 13, "ljdr18": [6, 42, 46], "lnprob": 80, "load": [57, 58, 65, 99, 113, 121, 132], "load_digit": [136, 139, 140, 145], "load_iri": [4, 132], "loc": [79, 81], "local": [3, 13, 21, 32, 36, 37, 42, 43, 44, 45, 47, 65, 114, 115, 117, 119], "local_search_iter": [32, 36, 42, 45, 47], "localandsortedrandomsearch": [24, 31, 32, 36, 42, 44, 45, 47], "localsearch": [32, 36, 37], "locat": [8, 24, 27], "log": [3, 13, 22, 24, 26, 27, 42, 43, 47, 68, 70, 79, 80, 83, 84, 86, 88, 101, 104, 107, 108, 132, 134, 136, 139, 140, 145], "log_i": [86, 88], "log_loss": 140, "logger": [20, 123, 125], "logger_nam": 125, "logging_level": [20, 42, 43, 44, 45, 46, 47, 48, 49, 134], "logic": [13, 57, 61], "logical_or": 140, "login": 21, "logist": [136, 139, 145], "lognormalprior": [79, 83], "long": 13, "longer": [12, 140], "look": [8, 10, 14, 17, 35, 42, 49], "loop": [13, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 134], "loss": [90, 91, 92, 93, 114, 119, 140], "lot": [13, 22, 140], "low": [2, 3, 12, 13, 42, 49], "lower": [12, 13, 24, 26, 57, 62, 64, 79, 84, 99, 101, 102, 113, 136], "lower_bound": [79, 84], "lower_budget_st": [101, 102, 104, 105, 107, 108, 109], "lowest": [24, 29, 42, 43, 57, 58, 61, 99, 113], "lr": [139, 145], "lr_init": [139, 145], "luigi": 6, "m": 6, "mac": [1, 8], "machin": [1, 4, 24, 28, 137, 138, 151, 154, 155], "made": 21, "mai": [8, 57, 58], "main": [13, 21, 32, 36, 42, 49, 57, 58, 114, 117, 134, 135, 154], "maintain": 8, "make": [7, 8, 12, 13, 15, 18, 24, 31, 57, 58, 61, 62, 68, 78, 94, 97, 114, 115, 116, 117, 121, 135, 136, 139, 140, 145], "make_serializ": 121, "manag": [114, 117, 121], "mani": [2, 3, 7, 12, 42, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 66, 85, 99, 100, 113, 141], "manner": [42, 43, 44, 45, 47, 49], "mansur": [68, 70, 78, 80], "manual": [42, 43, 114, 117, 136], "map": [72, 73, 99, 113], "margin": [24, 28, 66, 67, 68, 70, 85, 86, 88], "mariu": [6, 154], "mark": [18, 57, 58], "marker": [131, 139, 141, 144, 145], "markov": 7, "markow": [68, 78], "massiv": 2, "master": 0, "match": 18, "materi": 3, "matern": [42, 45, 72, 75], "maternkernel": [72, 75], "math": [24, 31, 80], "mathbb": [24, 27], "mathbf": [24, 26, 27, 30, 31], "mathcal": [24, 31], "mathemat": 13, "matplotlib": [131, 139, 141, 144, 145], "matrix": [16, 66, 67], "matthia": 154, "max": [3, 14, 17, 24, 27, 42, 47, 49, 57, 58, 61, 126, 132, 139, 140, 141, 145], "max_budget": [14, 60, 121, 139, 140, 141], "max_config_cal": [12, 13, 42, 44, 45, 47, 49, 57, 58, 61, 133, 136, 145], "max_depth": [42, 44, 47, 86, 88], "max_incumb": [42, 44, 45, 46, 47, 48, 49, 57, 58, 59, 61, 62], "max_it": [136, 139, 140, 145], "max_iter": 60, "max_nod": [86, 88], "max_prob": [94, 96], "max_ratio": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 148], "max_step": [32, 36, 37], "maxim": [3, 15, 22, 24, 25, 26, 31, 42, 43, 44, 45, 47, 49, 64], "maximum": [32, 36, 37, 42, 44, 45, 47, 49, 57, 58, 60, 61, 65, 86, 88, 94, 96, 97, 121, 132, 141], "mb": [121, 138, 143, 147, 150, 152, 155], "mcmc": [7, 42, 45, 68, 78], "mcmc_sampler": [68, 78], "mcmcgaussianprocess": [42, 45, 68, 78], "mean": [2, 4, 8, 13, 15, 16, 21, 42, 44, 45, 47, 49, 57, 61, 66, 67, 68, 70, 78, 79, 81, 83, 85, 86, 88, 90, 92, 99, 113, 121, 132, 136, 139, 140, 145], "meanaggregationstrategi": [42, 44, 45, 47, 49, 90, 92], "mechan": [7, 114, 115, 139, 154], "medium": 3, "mem": [138, 143, 147, 150, 152, 155], "member": [72, 73], "memori": [8, 42, 43, 65, 114, 115, 117, 119, 121], "memoryout": [101, 102], "mention": [13, 154], "merchant": 9, "messag": 20, "meta": [10, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 119, 120, 121, 131, 135, 141, 148], "metadatacallback": [39, 41], "method": [13, 15, 19, 24, 25, 32, 33, 34, 39, 40, 42, 43, 57, 58, 61, 62, 64, 66, 67, 72, 73, 74, 79, 80, 84, 86, 88, 114, 115, 116, 117, 119, 120, 136, 139, 140, 145], "metric": 7, "metric1": 144, "metric2": 144, "mf": 7, "mffacad": [3, 139, 140], "middl": [50, 53], "might": [0, 1, 12, 13, 17, 21, 57, 58, 61, 72, 73, 99, 113, 114, 115, 116, 117], "min": [17, 126, 139, 140, 141, 145], "min_budget": [14, 60, 121, 139, 140, 141], "min_cost": [99, 113], "min_prob": [94, 96], "min_samples_leaf": [42, 44, 47, 86, 88], "min_samples_split": [42, 44, 47, 86, 88], "min_trial": [13, 64], "mind": 21, "minim": [3, 19, 32, 37, 94, 96], "minimium": 133, "minimum": [7, 32, 34, 42, 44, 47, 60, 86, 88, 99, 113, 121, 131, 135, 141], "minut": [3, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "miro": 153, "miss": [3, 57, 58], "mix": 132, "mixin": [72, 73], "mlp": [136, 139, 140, 145], "mlpclassifi": [136, 139, 145], "mnt": 0, "mo": [57, 58], "mode": 7, "model": [3, 7, 8, 12, 15, 16, 21, 22, 24, 25, 28, 29, 32, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 64, 65, 101, 102, 114, 117, 121, 131, 132, 133, 134, 135, 136, 140, 141, 154], "model_select": [4, 132, 136, 139, 140, 145], "model_typ": [42, 45], "modifi": [9, 21], "modul": [3, 20, 21, 125], "modular": 3, "modulu": [13, 35, 94, 97], "modulus_incr": [94, 97], "modulusrandomdesign": [35, 94, 97], "mont": [7, 68, 78], "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 61, 114, 115, 117, 132, 144], "moreov": [13, 57, 58, 136], "most": [42, 43, 45, 47, 48, 50, 51, 99, 113, 132, 136, 139], "mostli": 13, "mount": 0, "mous": 3, "move": [94, 96, 99, 113], "mu": [24, 26, 30, 31, 136], "much": [65, 99, 100, 113, 114, 117, 139, 144], "multi": [2, 3, 7, 18, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 119, 120, 121, 136, 140, 141, 143, 144, 145, 155], "multi_object": 145, "multi_objective_algorithm": [15, 42, 43, 44, 45, 46, 47, 48, 49, 99, 101, 102, 113, 144, 145], "multidimension": 13, "multifidelityfacad": [3, 8, 13, 42, 48, 60, 139, 140, 141], "multilayerperceptron": 3, "multiobject": 6, "multiobjectivemodel": [66, 85], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 66, 85, 99, 113, 121, 136, 142, 143, 145, 151, 155], "multipli": [94, 98, 141], "multivari": [32, 34], "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 66, 67, 72, 73, 79, 80, 81, 84, 85, 90, 92, 114, 119, 120, 121, 139], "my": [42, 45, 47, 48, 50, 51], "myfloat": 3, "myint": 3, "mypi": [72, 73], "n": [0, 1, 6, 24, 25, 28, 31, 57, 61, 64, 68, 70, 78, 80, 114, 117, 124, 141, 144, 145, 152], "n_config": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 121, 132, 139, 145], "n_configs_in_stag": 60, "n_configs_per_hyperparamet": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 139], "n_configs_per_hyperparamt": [42, 45, 47, 48], "n_dim": [72, 73], "n_featur": [72, 73], "n_func": [68, 70], "n_layer": [136, 139, 145], "n_mcmc_walker": [68, 78], "n_neuron": [136, 139, 145], "n_point": [32, 33], "n_points_per_tre": [86, 88], "n_restart": [68, 70], "n_sampl": 80, "n_samples_i": [72, 73], "n_samples_x": [72, 73], "n_seed": [13, 42, 46, 48, 57, 58, 59, 62, 121], "n_split": [136, 139, 140, 145], "n_steps_plateau_walk": [32, 36, 37], "n_tree": [42, 44, 47, 86, 88], "n_trial": [3, 4, 17, 24, 29, 42, 45, 47, 48, 50, 51, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "n_worker": [3, 12, 21, 114, 117, 121, 139, 145], "name": [3, 10, 15, 16, 20, 24, 25, 26, 27, 28, 29, 30, 31, 42, 43, 65, 72, 73, 99, 101, 102, 113, 121, 125, 135], "nanmean": 132, "nardi": 6, "nativ": [13, 21, 57, 62], "natur": [32, 34], "ndarrai": [24, 25, 65, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 101, 102, 104, 105, 106, 107, 108, 109, 110, 123, 140], "necessari": 35, "need": [2, 3, 13, 16, 18, 21, 22, 32, 35, 36, 42, 43, 57, 58, 60, 61, 62, 72, 73, 99, 113, 114, 115, 116, 117, 132, 134, 140, 141], "neg": [24, 29], "neighbor": [32, 37], "neighbour": 13, "neither": [42, 49, 99, 113], "network": [3, 42, 43, 65, 114, 115, 117, 119, 136, 139], "neural": [3, 139], "neural_network": [136, 139, 145], "never": [3, 35], "nevertheless": [8, 114, 117], "new": [7, 8, 10, 13, 21, 35, 39, 40, 42, 49, 57, 58, 61, 62, 64, 99, 113, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "next": [13, 15, 17, 19, 39, 40, 42, 43, 57, 58, 59, 64, 65, 94, 95, 96, 97, 98, 114, 115, 117, 132, 133, 141], "next_config": 64, "next_iter": [32, 33, 94, 95, 96, 97, 98], "nip": [24, 28, 68, 70, 78, 80], "node": [21, 86, 88, 114, 117, 139], "nois": [42, 45], "noise_level": [72, 77], "noise_level_bound": [72, 77], "non": [8, 18, 24, 29, 72, 73, 149, 151], "none": [13, 24, 25, 29, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 139, 140, 141, 144, 145], "noqa": [101, 102], "nor": [42, 49, 99, 113], "normal": [13, 18, 24, 30, 68, 70, 78, 79, 83, 90, 91, 92, 93, 99, 113, 126, 136, 141], "normalfloathyperparamet": 136, "normalize_cost": [13, 126], "normalize_i": [68, 70, 78], "normalized_cost": 126, "normalizedkernelmixin": [72, 74], "notabl": [57, 58], "note": [3, 18, 19, 42, 43, 133], "notebook": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "notevaluatederror": 112, "noth": [42, 43, 132], "notic": [42, 48, 121, 144], "novel": [6, 7], "now": [1, 15, 131, 132, 133, 134, 135, 140, 141, 148], "np": [4, 19, 24, 25, 27, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 94, 97, 101, 102, 104, 121, 123, 131, 132, 136, 139, 140, 141, 144, 145], "nsga2": 127, "nu": [72, 75], "num_trial": [57, 58, 99, 113], "number": [2, 7, 12, 13, 14, 16, 19, 21, 24, 26, 28, 29, 32, 33, 34, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 90, 92, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 132, 136, 139, 140, 142, 143, 144, 145, 148, 151, 154, 155], "number_of_bracket": 60, "numer": 131, "numpi": [4, 72, 73, 131, 132, 136, 139, 140, 141, 144, 145], "nut": [68, 78], "o": [131, 141, 144], "obj1": 15, "obj2": 15, "object": [2, 3, 4, 7, 16, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145, 147, 148, 155], "objective_bound": [13, 99, 113], "objective_weight": [42, 44, 45, 47, 49, 90, 92, 144], "observ": [0, 7, 13, 24, 27, 42, 48, 57, 58, 99, 113, 123], "obtain": [10, 32, 37, 57, 58, 68, 70, 80], "obviou": 21, "obvious": 17, "occupi": 13, "off": [10, 13, 24, 26, 27, 42, 43], "offer": [2, 3, 15, 114, 115], "offici": 1, "often": [7, 8, 12, 13, 15, 16, 32, 34, 42, 49, 57, 58, 64, 133], "old": [10, 42, 43, 65, 135], "omit": [21, 99, 100], "on_ask_end": [39, 40], "on_ask_start": [39, 40], "on_end": [13, 39, 40], "on_iteration_end": [13, 39, 40], "on_iteration_start": [13, 39, 40], "on_next_configurations_end": [39, 40], "on_next_configurations_start": [39, 40], "on_start": [13, 39, 40, 41, 134], "on_tell_end": [39, 40, 134, 135], "on_tell_start": [39, 40], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 62, 136, 139, 145], "one": [2, 7, 8, 11, 12, 15, 18, 19, 21, 35, 42, 43, 49, 57, 58, 60, 61, 62, 68, 78, 99, 101, 106, 108, 109, 110, 113, 114, 115, 116, 117, 120, 121, 131, 133, 135, 136, 140, 141, 144, 145, 148], "ones": [42, 43, 65, 127, 145], "ongo": 8, "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 48, 50, 52, 57, 58, 61, 62, 64, 65, 66, 67, 72, 73, 85, 99, 101, 102, 113, 114, 116, 117, 121, 127, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "onlin": [7, 42, 46, 49], "open": 8, "openbox": 2, "opensourc": 9, "oper": [72, 73], "operate_on": [72, 73, 74, 75, 76, 77], "opinion": 136, "opportun": 17, "oppos": [32, 36], "opt": [72, 73, 132, 139], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 33, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 60, 65, 68, 70, 78, 80, 90, 91, 94, 97, 121, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 144, 145, 148, 149, 151, 154, 155], "optimizt": 136, "optimum": [13, 24, 29, 101, 102, 137, 138, 151, 155], "option": [15, 16, 18, 32, 36, 39, 40, 42, 43, 57, 58, 65, 72, 73, 99, 113, 114, 118, 120, 126, 134, 135], "optuna": 2, "orchestr": 21, "order": [32, 33, 42, 46, 48, 57, 62, 101, 102], "org": [6, 9, 50, 54, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "organ": [42, 43], "origin": [8, 15, 79, 80, 84, 126, 154], "other": [2, 13, 19, 24, 31, 42, 43, 57, 58, 65, 99, 113], "otherwis": [13, 21, 57, 58, 114, 117, 119, 121], "our": [8, 10, 14, 15, 17, 21, 132, 136, 139, 140, 145, 148, 154], "out": [57, 60, 62, 68, 78], "output": [2, 7, 18, 65, 66, 67, 68, 70, 78, 121], "output_directori": [3, 10, 121, 135], "over": [13, 24, 26, 28, 29, 32, 34, 57, 61, 66, 67, 68, 78, 85, 86, 88, 94, 97, 98, 99, 113, 116, 137, 138, 144, 151, 155], "overcom": 8, "overhead": [21, 32, 37], "overlap": [57, 58], "overrid": [72, 73, 131, 135, 141, 148], "overview": 20, "overwrit": [10, 13, 42, 43, 44, 45, 46, 47, 48, 49, 65, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "overwrite_existing_tri": [99, 113], "p": [24, 30, 79, 81], "packag": [8, 132, 139, 154], "page": [3, 20, 22, 154], "pai": 13, "pair": [13, 42, 46, 48, 57, 62, 99, 113, 145], "paper": [6, 24, 28, 154], "paragraph": 13, "parallel": [2, 12, 22, 114, 115, 116, 117, 121], "param": [72, 73], "paramet": [3, 10, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 132, 133, 136, 139, 140, 141, 148, 154], "parego": [2, 6, 13, 15, 90, 146, 147, 151, 155], "parent": [132, 139, 145], "pareto": [15, 57, 58, 127, 144, 145], "pareto_cost": 145, "pareto_costs_i": 145, "pareto_costs_x": 145, "part": [0, 20, 32, 33, 57, 58], "particular": 9, "pass": [3, 8, 13, 14, 15, 18, 20, 21, 42, 43, 57, 58, 86, 88, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 125, 126, 127, 131, 135, 136, 139, 140, 141, 145, 148], "path": [0, 3, 18, 20, 42, 43, 65, 99, 113, 121, 125], "patholog": [24, 29], "patienc": [114, 117], "pattern": [114, 117], "pca": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88], "pca_compon": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 89], "pdf": [6, 24, 28, 90, 93], "peak": 3, "penalti": 140, "pend": [114, 115, 116, 117], "per": [24, 27, 42, 45, 47, 48, 50, 51, 60, 86, 88, 99, 101, 104, 113, 133, 136, 141], "percentil": [101, 102], "perceptron": [136, 140, 142, 143, 151, 155], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 62, 65, 86, 88, 99, 113, 114, 115, 121, 125, 140, 154], "perhap": 139, "perspect": [114, 115], "phase": 21, "phi": [24, 30], "pi": [24, 30], "pibo": [24, 29], "pickl": [21, 114, 117], "picklabl": [99, 113], "pictur": 13, "piecewis": [24, 29], "pip": [0, 1], "pipelin": [3, 42, 43], "place": [72, 73, 136], "placehold": 139, "plai": 16, "plateau": [32, 36, 37], "pleas": [0, 1, 2, 3, 8, 9, 10, 13, 14, 17, 18, 21, 24, 31, 42, 49, 57, 58, 99, 113, 132, 134, 154], "plot": [15, 131, 139, 141, 144, 145], "plot_from_smac": 144, "plot_pareto": 145, "plot_trajectori": 139, "plt": [131, 139, 141, 144, 145], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 66, 67, 68, 70, 85, 86, 88, 144], "poli": 132, "pop": 132, "popen": [18, 120], "popul": [114, 115, 116, 117], "port": 139, "posit": [90, 93, 114, 115, 117, 119, 120], "posixpath": 121, "possibl": [2, 3, 13, 24, 29, 42, 43, 72, 73, 140], "post": [57, 62, 145], "posterior": [68, 70], "practic": [24, 28, 151], "pre": [2, 16], "precis": [114, 117], "predict": [3, 13, 32, 36, 66, 67, 85, 86, 88], "predict_margin": [66, 67, 85, 86, 88], "preds_as_arrai": 132, "prefer": 8, "prematur": [7, 10, 14], "prepar": [42, 43, 101, 102], "present": [24, 25], "prevent": [72, 73], "previou": [3, 10, 13, 32, 33, 36, 42, 43, 65, 99, 113, 131, 132, 135, 136, 141, 148], "previous_config": [32, 33], "price": [32, 34], "primarili": [72, 73], "print": [13, 18, 57, 60, 62, 65, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "print_config_chang": 123, "print_hyperband_summari": 60, "print_stat": 65, "print_summari": [60, 141], "print_track": [57, 62], "prior": [13, 24, 29, 72, 73, 74, 75, 76, 77, 137, 138, 151, 155], "prior_acqusition_funct": 136, "prior_floor": [24, 29], "prior_sampling_fract": [32, 36], "prioracquisitionfunct": [24, 29, 136], "priorit": 144, "probability_design": 35, "probabilityrandomdesign": [35, 42, 44, 45, 47, 94, 98], "probabl": [3, 13, 21, 24, 30, 42, 44, 45, 47, 79, 80, 84, 94, 96, 98], "problem": [2, 6, 7, 8, 42, 43, 114, 115, 117, 119, 120, 131, 133], "procedur": [114, 117], "proceed": 154, "process": [3, 6, 7, 8, 12, 13, 15, 17, 18, 19, 21, 32, 33, 36, 39, 40, 42, 43, 45, 57, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 114, 115, 117, 119, 120, 121, 131, 134, 139, 140], "produc": [21, 114, 115, 116, 117], "product": [72, 73], "productkernel": [72, 73], "program": [9, 21, 64], "promis": [42, 43, 49], "proper": 21, "properli": 116, "properti": [0, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "proport": [42, 46, 48, 57, 60, 62], "propos": [68, 78], "proven": 136, "provid": [2, 3, 8, 13, 17, 19, 35, 42, 43, 46, 48, 57, 58, 62, 66, 85, 114, 117, 151], "purpos": [9, 16], "py": [127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 155], "pymoo": 127, "pynish": [8, 21, 114, 119, 121], "pypi": 1, "pyplot": [131, 139, 141, 144, 145], "pyrfr": 8, "python": [0, 1, 2, 8, 18, 35, 68, 70, 78, 80, 114, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "python3": [1, 132, 139, 154], "qmc": [50, 54, 56], "quadrat": [135, 137, 138, 141, 151, 155], "quadraticfunct": [131, 135, 141], "qualiti": 7, "quasi": 13, "queri": [57, 62, 99, 113], "question": 8, "queu": [42, 48], "queue": [13, 57, 61], "r": [24, 27, 32, 34, 145], "race": [7, 42, 46, 49, 57, 58, 61, 139, 154], "race_against": [42, 45, 47], "rais": [8, 21, 101, 102, 136, 139, 145], "ram": [13, 42, 47], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 61, 62, 66, 67, 86, 87, 88, 89, 94, 95, 96, 97, 98, 121, 132, 136, 139, 145, 154], "random_design": [32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49], "random_forest": 132, "random_st": [4, 132, 136, 139, 140, 145], "randomdesign": [42, 43], "randomfacad": [3, 42, 46, 49], "randomforest": [42, 44, 47, 86, 88], "randominitialdesign": [42, 48, 50, 55], "randomli": [32, 36, 42, 43, 49], "randommodel": [42, 49, 66, 89], "randomsearch": [24, 31, 32, 38, 42, 49], "rang": [3, 90, 91, 92, 93, 132, 133, 136, 139, 140], "rate": [3, 136, 139], "rather": 80, "ratio": [32, 36, 42, 44, 47, 86, 88], "ratio_featur": [42, 44, 47, 86, 88], "raw": 0, "rbf": [72, 76, 132], "rbfkernel": [72, 76], "re": [99, 113], "reach": [19, 64, 94, 97, 135], "react": 22, "read": [1, 10, 22, 99, 113, 135], "readi": 21, "real": [14, 42, 43, 65, 114, 115, 117, 119, 120], "realli": [114, 115], "reason": [14, 72, 73, 121], "receiv": [9, 13, 15, 18, 64, 99, 113, 114, 117], "recent": 132, "recip": 15, "recogn": 13, "recommend": [1, 8, 12, 13, 18, 22], "recurs": [124, 132], "recursionerror": 132, "recursively_compare_dict": 124, "red": [131, 141, 144, 145], "redistribut": 9, "reduc": [32, 35, 37, 42, 44, 47, 66, 67, 68, 69, 70, 78, 86, 88, 114, 117, 139, 148], "refer": [7, 8, 13, 14, 42, 48, 50, 54, 56, 57, 58, 154], "regard": [42, 43, 65], "regardless": [42, 46, 48, 57, 62], "regist": [17, 65], "register_callback": 65, "regret": 6, "reimplement": 8, "reject": [42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148], "rel": 136, "relat": [72, 73], "releas": 8, "relev": [42, 43, 65], "relu": [136, 139, 145], "remain": [13, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "remaining_cputim": 65, "remaining_tri": 65, "remaining_walltim": 65, "remov": [8, 24, 29, 32, 36, 57, 61, 120, 144, 145], "renam": [10, 42, 43], "ren\u00e9": 154, "repeat": [13, 132], "replac": [42, 49, 57, 58, 114, 119, 139], "report": [8, 17], "repres": [114, 115, 117, 119, 120, 125, 140, 154], "represent": [101, 102], "reproduc": [8, 21, 22, 121], "request": [13, 135], "requeu": [57, 58], "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 62, 64, 86, 88, 99, 113, 114, 115, 119, 120, 121, 140], "required_argu": [114, 115, 116, 119, 120], "research": 154, "reset": [57, 58, 59, 61, 62, 65, 99, 113], "resolv": 8, "resourc": [0, 21, 114, 117, 119], "respect": [10, 72, 73, 79, 80, 84, 121], "respons": [13, 42, 43, 101, 102, 104, 106, 107, 108, 109, 110], "restart": [68, 70, 94, 96], "restart_iter": [94, 96], "restor": [10, 57, 58, 59, 61, 62], "restrict": 139, "result": [0, 2, 3, 10, 13, 17, 42, 43, 57, 58, 65, 114, 115, 116, 117, 119, 120, 121, 131, 132, 135, 139, 141, 148], "retrain": [12, 64], "retrain_aft": [12, 13, 42, 43, 45, 64], "retri": [42, 43, 45, 57, 61, 64], "retriev": [57, 58, 140], "return": [3, 4, 7, 13, 15, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "reveal": 3, "rf": [7, 24, 29], "rfacad": 3, "rho": [90, 93], "rid": [57, 62], "right": [15, 18, 24, 27, 72, 73], "roar": [7, 42, 46, 49], "robin": [42, 43, 65, 114, 115, 117, 119], "robo": [68, 70, 78, 80], "robust": [2, 68, 70, 78, 80], "role": 16, "root": [8, 20, 101, 110, 124], "rosenbrock": 133, "rosenbrock2d": [133, 134], "rostamizadeh": 6, "roughli": [42, 43, 65, 114, 115, 117, 119], "round": [42, 43, 46, 48, 57, 60, 62, 65, 114, 115, 117, 119, 141], "rtype": 123, "ruhkopf": 154, "run": [3, 7, 8, 10, 12, 13, 14, 15, 18, 19, 22, 39, 40, 42, 43, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 99, 113, 114, 115, 116, 117, 118, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "run_wrapp": [114, 115, 117], "runhistori": [3, 22, 39, 40, 42, 43, 44, 45, 47, 48, 49, 57, 58, 61, 62, 64, 65, 127, 131, 133, 134, 135, 141, 144, 145], "runhistory_encod": [42, 43, 44, 45, 46, 47, 48, 49], "runhistoryeipsencod": [101, 104], "runhistoryencod": [42, 43, 44, 45, 49, 101, 105, 106, 107, 108, 109, 110], "runhistoryinversescaledencod": [101, 106], "runhistorylogencod": [101, 107], "runhistorylogscaledencod": [42, 47, 101, 108], "runhistoryscaledencod": [101, 109], "runhistorysqrtscaledencod": [101, 110], "runinfo": [13, 114, 115, 117], "runner": [8, 13, 65, 132, 134], "runtim": [2, 18, 19, 21, 24, 27, 65, 101, 104, 114, 115, 117, 119, 120], "runtimeerror": [21, 112], "runtimewarn": 132, "runvalu": 13, "rval": 132, "sai": 7, "same": [8, 13, 42, 44, 45, 46, 47, 48, 49, 57, 61, 62, 90, 92, 99, 113, 126, 135], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 61, 62, 64, 66, 67, 68, 70, 78, 80, 85, 86, 88, 121], "sample_from_prior": 80, "sample_funct": [68, 70], "sampler": [68, 78], "saniti": 13, "sass": 154, "satisfi": [3, 13], "save": [3, 13, 42, 43, 57, 58, 65, 99, 113, 121], "scalar": [2, 13, 15, 42, 43, 80, 99, 113], "scale": [42, 47, 72, 74, 79, 80, 81, 82, 84, 101, 102, 106, 108, 109, 110, 132], "scale_percentag": [101, 102, 104, 105, 107, 108, 109], "scaral": [99, 113], "scatter": [42, 43, 65, 114, 115, 117, 119, 131, 139, 141, 144, 145], "scenario": [4, 10, 12, 14, 15, 16, 17, 18, 19, 21, 24, 29, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 64, 65, 90, 92, 93, 101, 102, 104, 105, 107, 108, 109, 114, 115, 116, 119, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "schaffer": [146, 147, 151, 155], "schedul": [21, 94, 96], "scheme": [32, 33, 114, 115], "scipi": [32, 34, 50, 54, 56], "score": [4, 132, 136, 139, 140, 145], "scrambl": [50, 56], "scratch": [99, 113], "screenshot": 8, "script": [18, 21, 42, 43, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 149, 150, 151, 155], "scrollabl": 3, "search": [3, 13, 24, 29, 32, 34, 36, 37, 42, 44, 45, 47, 49, 133], "second": [24, 27, 35, 101, 104, 114, 117, 119, 121, 124, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "section": 13, "see": [3, 7, 8, 9, 13, 14, 21, 24, 28, 29, 50, 54, 56, 57, 59, 99, 113, 144], "seed": [3, 4, 7, 8, 10, 13, 18, 19, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "seeger": 6, "seen": [24, 26], "segment": 0, "select": [7, 13, 42, 43, 46, 48, 49, 50, 51, 53, 57, 62, 64, 99, 113, 114, 115, 145], "select_configur": [50, 51], "selector": [22, 42, 43, 45, 57, 58, 64], "self": [3, 13, 32, 33, 57, 58, 66, 67, 68, 72, 73, 78, 79, 80, 84, 94, 96, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "semant": [32, 33, 99, 113], "semanticscholar": 6, "semicolon": 18, "separ": [18, 42, 43, 120], "sequenc": [13, 50, 56], "sequenti": [7, 8, 154], "serial": [42, 43, 65, 114, 115, 116, 117, 119], "serializ": 121, "serv": 133, "server": 139, "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 61, 62, 65, 94, 96, 98, 99, 113, 114, 119, 121, 125, 126, 132, 135, 136, 144, 145, 148], "set_stat": [57, 58, 59, 61, 62], "setup": [8, 10, 42, 43, 49, 65, 125, 141], "setup_log": 125, "sever": [2, 35, 39, 40, 151], "sgd": [136, 139, 140, 145], "sgdclassifi": 140, "sh": [18, 148], "shape": [72, 73, 79, 81], "share": [42, 43, 65, 114, 115, 117, 119], "shortli": 13, "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 61, 64, 65, 66, 72, 73, 85, 94, 95, 96, 97, 98, 121, 127, 131, 133], "show": [3, 8, 13, 15, 18, 20, 120, 131, 133, 139, 141, 144, 145, 148, 151], "shown": [144, 145], "shrink": 132, "shuffl": [42, 46, 48, 57, 58, 61, 62, 136, 139, 140, 145], "shuffle_onc": [42, 46, 48, 57, 59, 62], "shut": 135, "sigma": [24, 26, 30, 31, 79, 83, 136], "sigmoid": 132, "silent": 21, "similar": 136, "simpl": [3, 7, 13, 20, 32, 34, 132, 135, 144, 148], "simpli": [14, 15, 42, 49, 57, 62, 148], "simplifi": [114, 115], "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 139, 144, 145], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 66, 85, 86, 88, 90, 91, 92, 93, 99, 113, 114, 115, 116, 117, 120, 139, 141], "single_work": [114, 117], "site": [132, 139], "situat": [57, 58], "size": [7, 121, 124, 136, 139], "skew": 136, "skks10": [6, 24, 26], "sklearn": [4, 72, 73, 132, 136, 139, 140, 145], "slice": 132, "slightli": 8, "slower": 12, "slurm": 21, "slurmclust": 21, "smac": [0, 1, 2, 3, 4, 7, 8, 10, 12, 13, 15, 17, 18, 19, 20, 21, 22, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "smac2": [8, 86, 88, 135], "smac3": [0, 1, 8, 132, 134, 154], "smac3_output": 121, "small": [90, 93], "smaller": [3, 42, 48, 86, 88, 123], "smbo": [7, 13, 39, 40, 41, 42, 43, 90, 91, 93, 94, 95, 96, 97, 98, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "snoek": [24, 28, 68, 78], "so": [7, 10, 13, 19, 24, 26, 27, 42, 43, 46, 48, 57, 62, 65, 100, 114, 115, 116, 117, 134, 135, 136, 139], "sobol": [3, 13, 42, 45, 47, 50, 56], "sobolinitialdesign": [42, 45, 47, 50, 56], "soft": [79, 84], "softtophatprior": [79, 84], "softwar": [0, 9], "solid": [24, 29, 136], "solut": [7, 8, 32, 34, 38], "solv": 2, "solver": [136, 139, 145], "some": [3, 21, 22, 57, 61, 72, 73, 101, 102, 134], "someth": [3, 13, 18], "sometim": [20, 21], "sort": [3, 13, 32, 36, 42, 44, 45, 47, 57, 58, 99, 113, 127, 145], "sort_bi": [57, 58, 99, 113], "sort_by_crowding_dist": 127, "sorted_list": 127, "sourc": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "souza": 6, "space": [2, 13, 18, 24, 26, 27, 29, 32, 34, 42, 45, 47, 48, 49, 50, 51, 79, 80, 84, 120, 121, 131, 132, 136, 139, 140], "spawn": [21, 121], "speak": [42, 43, 65, 114, 115, 117, 119], "spearmint": [79, 82, 84], "speci": 3, "special": [57, 58], "specif": [3, 8, 12, 13, 15, 20, 24, 25, 42, 43, 57, 58, 72, 73, 86, 88, 101, 104, 140], "specifi": [3, 4, 10, 15, 17, 20, 21, 32, 33, 42, 43, 57, 58, 60, 62, 65, 66, 67, 68, 70, 72, 73, 79, 83, 121, 123, 131, 134, 135, 139, 142, 143, 148, 151, 155], "speed": 2, "spend": [13, 65], "split": [42, 44, 47, 86, 88, 136, 139, 140, 145], "sqrt": [24, 26, 144], "squar": [101, 110, 144], "sriniva": 6, "stabl": 8, "stage": [14, 39, 40, 57, 62, 134, 139, 140, 141], "standard": [18, 19, 24, 30, 66, 67, 79, 83, 136, 141], "start": [13, 17, 21, 22, 39, 40, 41, 42, 43, 57, 58, 68, 78, 90, 91, 93, 114, 117, 134, 139, 140, 141, 145], "start_modulu": [94, 97], "start_tim": 145, "starttim": [13, 99, 100, 113], "stat": [39, 40, 50, 54, 56, 65, 135], "state": [10, 13, 57, 58, 59, 61, 62, 90, 91, 93, 94, 96, 97, 98, 99, 101, 102, 113, 132], "statement": [72, 73], "static": [42, 43, 44, 45, 46, 47, 48, 49, 121], "stationarykernelmixin": [72, 74], "statist": [13, 65], "statu": [13, 18, 42, 43, 57, 58, 99, 100, 111, 113, 114, 115, 117, 119, 120], "statustyp": [18, 99, 100, 101, 102, 111, 113, 114, 115, 117, 119, 120], "std": [66, 67], "stdout": [18, 20], "step": [13, 32, 36, 37, 57, 62, 68, 78, 116, 145], "stick": 136, "still": [8, 10, 13, 15, 18, 21, 99, 113, 114, 115, 116, 117, 133], "stochast": [32, 34, 142, 143, 151, 155], "stoll": 6, "stop": [13, 22, 39, 40, 64, 121, 134, 135, 139, 145], "stop_aft": 135, "stopcallback": 135, "store": [65, 99, 113, 139], "storn": [32, 34], "str": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 45, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 132, 140, 144, 145], "straight": 13, "strategi": [2, 7, 15, 42, 43, 44, 45, 47, 49, 50, 51, 90, 91], "stratifiedkfold": [136, 139, 140, 145], "stream": 20, "streamhandl": 20, "strict": 1, "string": [18, 42, 43, 120, 124], "strongli": 22, "stuck": 13, "sub": [101, 102], "subclass": [32, 33, 42, 43, 72, 73], "submiss": [114, 115], "submit": [13, 99, 113, 114, 115, 116, 117], "submit_command": 21, "submit_run": [114, 115, 117], "submit_tri": [114, 115, 116, 117], "subobject": [72, 73], "subprocess": [21, 120], "subset": [7, 14, 16, 99, 113, 121, 140], "subsystem": [0, 1], "subtract": [65, 132], "succes": [57, 62], "success": [0, 7, 14, 17, 18, 42, 46, 48, 57, 60, 62, 99, 100, 101, 102, 113, 120, 139, 140, 141], "successive_halv": [139, 140, 141], "successivehalv": [3, 57, 59, 62, 139], "sudo": 0, "suffici": [57, 58], "suggest": [0, 1, 114, 118], "suit": [42, 43], "sum": [72, 73, 99, 113], "sum_cost": [99, 113], "sumkernel": [72, 73], "summari": 60, "super": [72, 73], "superclass": [72, 73], "superior": 7, "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 61, 62, 72, 73, 137, 138, 151, 155], "sure": [8, 13, 15, 18, 68, 78, 94, 97, 114, 115, 117, 118, 135], "surrog": [3, 15, 16, 21, 22, 24, 25, 29, 39, 40, 42, 43, 44, 45, 47, 49, 64, 66, 67, 85, 101, 102, 121, 131, 132], "svc": [4, 132], "svm": [4, 132], "swig": [0, 1], "sy": 20, "system": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 72, 73, 135], "ta": 65, "tabl": [2, 3, 20], "take": [3, 8, 12, 13, 17, 42, 43, 66, 67, 86, 88, 114, 117, 139], "taken": [13, 32, 36, 101, 102, 127], "talwalkar": 6, "tanh": [136, 139, 145], "target": [4, 7, 8, 12, 14, 15, 21, 22, 42, 43, 65, 66, 67, 86, 88, 99, 113, 114, 115, 117, 118, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 149, 150, 151, 155], "target_funct": [3, 18, 42, 43, 44, 45, 46, 47, 48, 49, 114, 119, 120, 132, 144], "target_function_runn": [132, 145], "target_nam": 140, "targetalgorithmabortexcept": [114, 118], "targetfunctionrunn": [114, 119], "targetfunctionscriptrunn": [42, 43, 120], "task": [114, 116, 117, 121, 136], "techniqu": [13, 32, 34], "tell": [3, 13, 22, 42, 43, 57, 62, 65, 137, 138, 151, 155], "temporarili": 2, "term": [9, 141], "termin": [22, 32, 36, 37, 114, 117], "termination_cost_threshold": [19, 121], "test": [0, 1, 18, 66, 67, 68, 70, 99, 113, 120, 154], "text": [24, 26], "th": [94, 95, 96, 97, 98], "than": [7, 12, 32, 34, 42, 48, 49, 57, 58, 61, 65, 79, 80, 81, 86, 88, 121, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "thei": [3, 13, 17, 57, 61, 64], "them": [7, 13, 101, 106, 108, 109, 110, 114, 117, 139, 145], "theoret": [99, 113], "therebi": [7, 14], "therefor": [1, 3, 7, 13, 42, 49, 72, 73, 121, 139, 145], "theta": [79, 80, 84], "thi": [0, 1, 2, 3, 8, 9, 13, 15, 16, 20, 21, 22, 24, 25, 32, 33, 36, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 86, 88, 94, 95, 97, 99, 100, 113, 114, 115, 116, 117, 118, 119, 121, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "thing": 22, "thompson": [13, 24], "those": [10, 16], "thread": [12, 13, 21, 57, 58], "three": 64, "threshold": [22, 121], "throughout": 13, "thu": [8, 16, 136], "tim": 154, "time": [3, 8, 11, 12, 13, 17, 19, 35, 42, 43, 49, 57, 58, 65, 94, 97, 98, 99, 100, 113, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "timeout": 13, "titl": [139, 144, 145, 154], "togeth": [21, 24, 31, 42, 49, 57, 62], "toi": 133, "tolist": 145, "too": [131, 141], "took": [114, 115, 117, 119, 120], "tool": [2, 8, 154], "top": [42, 43], "tophat": [79, 84], "tophatprior": [79, 84], "total": [60, 86, 88, 114, 117, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 147, 148, 150, 151, 152, 155], "total_budget": [60, 141], "toward": 136, "traceback": 132, "track": [13, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62], "tracker": [8, 13, 57, 59, 62], "trade": [13, 24, 26, 27, 42, 43], "tradeoff": [24, 26], "trail_walltime_limit": 21, "train": [3, 4, 7, 13, 15, 16, 21, 39, 40, 42, 43, 47, 57, 58, 64, 66, 67, 68, 69, 70, 78, 86, 88, 101, 102, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "trajectori": [57, 58, 100, 139], "trajectoryitem": [57, 58, 100], "transform": [7, 13, 42, 43, 80, 86, 88, 90, 91, 92, 93, 101, 102, 104, 106, 107, 108, 109, 110, 140], "transform_response_valu": [101, 102, 104, 105, 106, 107, 108, 109, 110], "transformed_valu": [101, 102], "translat": [114, 115], "treat": 132, "tree": [42, 44, 47, 86, 88], "tri": 3, "trial": [3, 7, 13, 17, 19, 21, 39, 40, 42, 43, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "trial_info": [13, 114, 115, 116, 117], "trial_memory_limit": [21, 121], "trial_valu": 13, "trial_walltime_limit": 121, "trialinfo": [42, 43, 57, 58, 61, 62, 65, 99, 100, 113, 114, 115, 116, 117, 134, 135], "trialkei": [99, 100, 113], "trials_count": 134, "trials_us": 60, "trialvalu": [42, 43, 65, 99, 100, 113, 114, 115, 116, 117, 133, 134, 135], "trigger": [24, 29, 114, 118, 134], "true": [4, 10, 42, 43, 44, 47, 48, 60, 65, 68, 70, 72, 73, 78, 86, 88, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "trust": 7, "truth": [131, 141], "try": [3, 8, 42, 47, 140], "tunabl": 3, "tune": [3, 32, 37, 68, 78, 136], "tupl": [66, 67, 72, 73, 85, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 123, 126, 140, 144], "twice": [13, 144], "two": [3, 13, 64, 86, 88, 123, 140, 145, 154], "txt": 0, "type": [18, 24, 25, 26, 27, 28, 32, 33, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 79, 80, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 136, 139, 140, 141, 144], "typeerror": [101, 102], "typic": [2, 141], "u": [0, 1, 8], "ubuntu": 0, "uk": [90, 93], "ukci": [90, 93], "un": 13, "uncertainti": [86, 88], "under": [0, 1, 9], "underli": [12, 16], "understand": 3, "uniform": [3, 32, 36, 136], "uniform_configspac": [32, 36], "uniformintegerhyperparamet": 136, "uniformli": [7, 42, 49], "unit": [60, 68, 70, 78, 136, 141], "unpromis": [42, 49], "unsuit": 2, "until": [13, 114, 115, 116, 117, 135], "up": [2, 13, 57, 62, 64, 99, 113, 125, 131, 141], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 65, 90, 91, 93, 99, 113, 135], "update_acquisition_funct": 65, "update_cost": [99, 113], "update_from_json": [99, 113], "update_incumb": [57, 58, 62], "update_model": 65, "update_on_iteration_start": [13, 90, 91, 93], "upon": [42, 43, 114, 117], "upper": [79, 84, 99, 113, 136], "upper_bound": [79, 84], "url": 154, "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 84, 85, 86, 88, 94, 96, 97, 98, 99, 100, 101, 102, 106, 107, 108, 110, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 131, 132, 133, 134, 135, 136, 140, 141, 142, 143, 144, 145, 148, 149, 151, 154, 155], "use_batch_s": [139, 145], "use_coef": 132, "use_default_config": 121, "use_degre": 132, "use_gamma": 132, "use_gamma_valu": 132, "use_lr": [139, 145], "use_lr_init": [139, 145], "used_target_function_walltim": 65, "used_walltim": [57, 58, 65], "user": [0, 6, 10, 12, 13, 17, 18, 19, 20, 24, 29, 32, 36, 42, 43, 46, 48, 57, 61, 62, 65, 114, 115, 117, 119, 137, 138, 151, 155], "userwarn": 139, "uses_budget": [13, 57, 58, 61, 62], "uses_inst": [13, 57, 58, 61, 62], "uses_se": [13, 57, 58, 61, 62], "usr": 18, "usual": [7, 114, 118], "v": [18, 99, 113, 114, 117, 131, 140, 141, 148], "v1": [2, 18], "v18": 6, "v2": [2, 8, 17, 18], "v23": 154, "valid": [2, 3, 7, 42, 43, 57, 58, 62, 65, 66, 67, 121, 131, 133, 135, 136, 137, 138, 139, 140, 141, 144, 145, 148, 151, 155], "valu": [3, 13, 14, 15, 18, 19, 24, 25, 26, 27, 28, 29, 31, 39, 40, 42, 43, 49, 65, 66, 67, 68, 70, 72, 73, 78, 80, 86, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 123, 126, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "vanilla": [42, 45], "var": [66, 67, 85, 86, 88, 121, 140], "variabl": [0, 3, 18, 57, 58, 59, 61, 62, 65, 121, 136, 139, 145], "varianc": [13, 66, 67, 68, 70, 78, 85, 86, 88, 140], "varieti": 151, "variou": [3, 42, 43], "vector": [4, 32, 37, 101, 102, 137, 138, 151, 155], "vectorization_max_obtain": [32, 37], "vectorization_min_obtain": [32, 37], "veri": [42, 43, 49, 57, 58, 65, 114, 115, 117, 119], "versatil": 154, "version": [0, 1, 3, 8, 13, 19, 20, 32, 36], "very_small_numb": 132, "via": [13, 15, 21, 32, 34, 36, 38, 114, 115, 117, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "virtu": 139, "visit": 154, "volum": 154, "vstack": 145, "wa": [0, 10, 13, 19, 24, 25, 57, 62, 64, 65, 99, 113, 114, 117, 135], "wai": [3, 20, 57, 58, 134], "wait": [13, 57, 58, 114, 115, 116, 117], "walk": [32, 36, 37], "walker": [68, 78], "wall": [114, 119], "wallclock": [11, 13, 17, 19, 57, 58, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "walltim": [65, 100, 139], "walltime_limit": [3, 121, 139, 140, 145], "want": [3, 7, 8, 10, 13, 15, 16, 20, 22, 24, 31, 42, 49, 132, 135, 136, 139, 140, 141, 145, 149, 151, 154], "warm": [42, 43], "warn": [20, 99, 113, 132, 136, 139, 140, 145], "warranti": 9, "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 62, 64, 65, 68, 78, 80, 114, 115, 117, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151, 154], "weight": [7, 13, 24, 29, 32, 36, 42, 44, 45, 47, 49, 90, 92, 99, 113, 136, 146, 147, 151, 155], "well": [2, 13, 17, 24, 29, 114, 115, 132, 133, 136], "were": [13, 57, 58, 151], "what": [3, 8, 66, 67, 114, 115, 117], "when": [7, 13, 14, 17, 21, 42, 43, 44, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 86, 88, 114, 115, 117, 119, 121, 125, 139], "whenev": 80, "where": [3, 7, 8, 10, 13, 24, 25, 29, 32, 36, 42, 49, 140, 145], "wherea": 14, "whether": [10, 13, 24, 27, 29, 42, 43, 57, 58, 65, 72, 73, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 135], "which": [3, 7, 8, 13, 15, 18, 20, 21, 24, 25, 35, 42, 43, 44, 45, 49, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 89, 94, 96, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 127, 132, 133, 136, 139, 140, 154], "while": [13, 57, 58, 61, 62, 132], "white": [18, 42, 45, 72, 77, 120], "whitekernel": [72, 77], "whole": [66, 67], "why": [8, 14], "wide": [132, 136], "wider": 136, "wih": 18, "within": [2, 64, 114, 117], "without": [3, 9, 24, 27, 35], "wlog": 140, "won": [72, 73], "word": [7, 13, 19], "work": [0, 1, 7, 8, 13, 14, 16, 21, 22, 114, 117, 131, 132, 134, 145], "worker": [3, 11, 12, 13, 21, 114, 115, 116, 117, 121, 139], "workflow": 0, "workshop": [68, 70, 78, 80], "world": 14, "worri": 3, "worth": 13, "would": [0, 1, 3, 13, 42, 43, 65, 114, 115, 117, 119, 141], "wrap": [114, 117], "wrapper": [13, 66, 85, 114, 115, 116, 117], "written": [1, 57, 58, 154], "wrt": [99, 113], "www": [6, 90, 93], "x": [16, 24, 25, 26, 27, 30, 31, 66, 67, 68, 69, 70, 72, 73, 78, 79, 81, 85, 86, 88, 101, 102, 123, 131, 133, 135, 139, 141, 144, 145], "x0": [133, 134, 148], "x1": [133, 134], "x2": [133, 134], "x64": [132, 139], "x86_64": 0, "x_i": 133, "x_test": [68, 70], "xarg": 0, "xi": [24, 27, 30, 31, 42, 44, 45, 47, 131, 141], "xlabel": [139, 144, 145], "y": [66, 67, 72, 73, 86, 88, 101, 102, 123, 131, 135, 139, 141], "yaml": [20, 42, 43], "year": 154, "yet": [1, 8, 57, 62, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "yield": [13, 57, 62, 64], "ylabel": [139, 144, 145], "ylim": 139, "yml": [42, 43], "you": [0, 1, 2, 3, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 20, 21, 22, 42, 43, 47, 49, 68, 78, 114, 117, 121, 132, 134, 136, 139, 141, 144, 149, 151, 154], "your": [0, 1, 2, 3, 7, 8, 15, 16, 18, 20, 21, 22, 42, 43, 65, 114, 115, 117, 119, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "your_output_directori": 3, "zero": [68, 70, 78, 101, 106, 108, 109, 110, 133], "zip": 151, "zorder": [131, 141, 144], "\u03b8": [42, 49], "\u03c0bo": 6}, "titles": ["Experimental", "Installation", "Package Overview", "Getting Started", "Minimal Example", "API References", "References", "Glossary", "F.A.Q.", "License", "Continue", "Reproducibility", "Optimizations", "Components", "Multi-Fidelity Optimization", "Multi-Objective Optimization", "Optimization across Instances", "Ask-and-Tell Interface", "Command-Line Interface", "Stopping Criteria", "Logging", "Parallelism", "Advanced Usage", "smac.acquisition", "smac.acquisition.function", "smac.acquisition.function.abstract_acquisition_function", "smac.acquisition.function.confidence_bound", "smac.acquisition.function.expected_improvement", "smac.acquisition.function.integrated_acquisition_function", "smac.acquisition.function.prior_acqusition_function", "smac.acquisition.function.probability_improvement", "smac.acquisition.function.thompson", "smac.acquisition.maximizer", "smac.acquisition.maximizer.abstract_acqusition_maximizer", "smac.acquisition.maximizer.differential_evolution", "smac.acquisition.maximizer.helpers", "smac.acquisition.maximizer.local_and_random_search", "smac.acquisition.maximizer.local_search", "smac.acquisition.maximizer.random_search", "smac.callback", "smac.callback.callback", "smac.callback.metadata_callback", "smac.facade", "smac.facade.abstract_facade", "smac.facade.algorithm_configuration_facade", "smac.facade.blackbox_facade", "smac.facade.hyperband_facade", "smac.facade.hyperparameter_optimization_facade", "smac.facade.multi_fidelity_facade", "smac.facade.random_facade", "smac.initial_design", "smac.initial_design.abstract_initial_design", "smac.initial_design.default_design", "smac.initial_design.factorial_design", "smac.initial_design.latin_hypercube_design", "smac.initial_design.random_design", "smac.initial_design.sobol_design", "smac.intensifier", "smac.intensifier.abstract_intensifier", "smac.intensifier.hyperband", "smac.intensifier.hyperband_utils", "smac.intensifier.intensifier", "smac.intensifier.successive_halving", "smac.main", "smac.main.config_selector", "smac.main.smbo", "smac.model", "smac.model.abstract_model", "smac.model.gaussian_process", "smac.model.gaussian_process.abstract_gaussian_process", "smac.model.gaussian_process.gaussian_process", "smac.model.gaussian_process.gpytorch_gaussian_process", "smac.model.gaussian_process.kernels", "smac.model.gaussian_process.kernels.base_kernels", "smac.model.gaussian_process.kernels.hamming_kernel", "smac.model.gaussian_process.kernels.matern_kernel", "smac.model.gaussian_process.kernels.rbf_kernel", "smac.model.gaussian_process.kernels.white_kernel", "smac.model.gaussian_process.mcmc_gaussian_process", "smac.model.gaussian_process.priors", "smac.model.gaussian_process.priors.abstract_prior", "smac.model.gaussian_process.priors.gamma_prior", "smac.model.gaussian_process.priors.horseshoe_prior", "smac.model.gaussian_process.priors.log_normal_prior", "smac.model.gaussian_process.priors.tophat_prior", "smac.model.multi_objective_model", "smac.model.random_forest", "smac.model.random_forest.abstract_random_forest", "smac.model.random_forest.random_forest", "smac.model.random_model", "smac.multi_objective", "smac.multi_objective.abstract_multi_objective_algorithm", "smac.multi_objective.aggregation_strategy", "smac.multi_objective.parego", "smac.random_design", "smac.random_design.abstract_random_design", "smac.random_design.annealing_design", "smac.random_design.modulus_design", "smac.random_design.probability_design", "smac.runhistory", "smac.runhistory.dataclasses", "smac.runhistory.encoder", "smac.runhistory.encoder.abstract_encoder", "smac.runhistory.encoder.boing_encoder", "smac.runhistory.encoder.eips_encoder", "smac.runhistory.encoder.encoder", "smac.runhistory.encoder.inverse_scaled_encoder", "smac.runhistory.encoder.log_encoder", "smac.runhistory.encoder.log_scaled_encoder", "smac.runhistory.encoder.scaled_encoder", "smac.runhistory.encoder.sqrt_scaled_encoder", "smac.runhistory.enumerations", "smac.runhistory.errors", "smac.runhistory.runhistory", "smac.runner", "smac.runner.abstract_runner", "smac.runner.abstract_serial_runner", "smac.runner.dask_runner", "smac.runner.exceptions", "smac.runner.target_function_runner", "smac.runner.target_function_script_runner", "smac.scenario", "smac.utils", "smac.utils.configspace", "smac.utils.data_structures", "smac.utils.logging", "smac.utils.multi_objective", "smac.utils.pareto_front", "smac.utils.subspaces", "smac.utils.subspaces.boing_subspace", "smac.utils.subspaces.turbo_subspace", "Quadratic Function", "Support Vector Machine with Cross-Validation", "Ask-and-Tell", "Custom Callback", "Continue an Optimization", "User Priors over the Optimum", "Basics", "Computation times", "Multi-Layer Perceptron Using Multiple Epochs", "Stochastic Gradient Descent On Multiple Datasets", "Specify Number of Trials via a Total Budget in Hyperband", "Multi-Fidelity and Multi-Instances", "Computation times", "2D Schaffer Function with Objective Weights", "ParEGO", "Multi-Objective", "Computation times", "Call Target Function From Script", "Command-Line Interface", "Computation times", "Examples", "Computation times", "Overview Figure", "Home", "Computation times"], "titleterms": {"2d": 144, "A": 8, "On": 140, "abstract_acquisition_funct": 25, "abstract_acqusition_maxim": 33, "abstract_encod": 102, "abstract_facad": 43, "abstract_gaussian_process": 69, "abstract_initial_design": 51, "abstract_intensifi": 58, "abstract_model": 67, "abstract_multi_objective_algorithm": 91, "abstract_prior": 80, "abstract_random_design": 95, "abstract_random_forest": 87, "abstract_runn": 115, "abstract_serial_runn": 116, "acquisit": [13, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], "across": 16, "advanc": 22, "aggregation_strategi": 92, "algorithm": 13, "algorithm_configuration_facad": 44, "an": 135, "anaconda": 1, "annealing_design": 96, "api": 5, "ask": [17, 133], "automat": 19, "base_kernel": 73, "basic": [137, 151], "blackbox_facad": 45, "boing_encod": 103, "boing_subspac": 129, "budget": 141, "call": [18, 148], "callback": [13, 39, 40, 41, 134], "class": [25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 64, 65, 67, 69, 70, 73, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 88, 89, 91, 92, 93, 95, 96, 97, 98, 100, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 115, 116, 117, 119, 120, 121], "cluster": 21, "command": [18, 149, 151], "comparison": 2, "compon": 13, "comput": [138, 143, 147, 150, 152, 155], "conda": 1, "confidence_bound": 26, "config_selector": 64, "configspac": 123, "configur": [3, 13], "contact": 154, "continu": [10, 135], "cost": 19, "criteria": 19, "cross": 132, "custom": [20, 134], "dask_runn": 117, "data_structur": 124, "dataclass": 100, "dataset": 140, "default_design": 52, "descent": 140, "design": 13, "differential_evolut": 34, "eips_encod": 104, "encod": [13, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], "enumer": 111, "epoch": 139, "error": 112, "exampl": [4, 151], "except": [112, 118], "expected_improv": 27, "experiment": [0, 1], "f": 8, "facad": [3, 42, 43, 44, 45, 46, 47, 48, 49], "factorial_design": 53, "featur": 2, "fidel": [14, 142, 151], "figur": 153, "file": 20, "forg": 1, "from": 148, "function": [3, 13, 18, 24, 25, 26, 27, 28, 29, 30, 31, 60, 123, 124, 125, 126, 127, 131, 144, 148], "gamma_prior": 81, "gaussian_process": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], "get": 3, "glossari": 7, "gpytorch_gaussian_process": 71, "gradient": 140, "hamming_kernel": 74, "helper": 35, "home": 154, "horseshoe_prior": 82, "hyperband": [59, 141], "hyperband_facad": 46, "hyperband_util": 60, "hyperparameter_optimization_facad": 47, "initi": 13, "initial_design": [50, 51, 52, 53, 54, 55, 56], "instal": [0, 1], "instanc": [16, 142, 151], "integrated_acquisition_funct": 28, "intensifi": [13, 57, 58, 59, 60, 61, 62], "interfac": [17, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 149, 151], "inverse_scaled_encod": 106, "kernel": [72, 73, 74, 75, 76, 77], "latin_hypercube_design": 54, "layer": 139, "level": 20, "licens": 9, "line": [18, 149, 151], "local_and_random_search": 36, "local_search": 37, "log": [20, 125], "log_encod": 107, "log_normal_prior": 83, "log_scaled_encod": 108, "machin": 132, "main": [63, 64, 65], "matern_kernel": 75, "maxim": [13, 32, 33, 34, 35, 36, 37, 38], "mcmc_gaussian_process": 78, "metadata_callback": 41, "minim": 4, "model": [13, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89], "modul": [23, 24, 32, 39, 42, 50, 57, 63, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 122, 128], "modulus_design": 97, "multi": [13, 14, 15, 139, 142, 146, 151], "multi_fidelity_facad": 48, "multi_object": [90, 91, 92, 93, 126], "multi_objective_model": 85, "multipl": [139, 140], "navig": 22, "number": 141, "object": [13, 15, 144, 146, 151], "optim": [12, 14, 15, 16, 18, 135], "optimum": 136, "over": 136, "overview": [2, 153], "packag": 2, "parallel": 21, "parego": [93, 145], "pareto_front": 127, "perceptron": 139, "prior": [79, 80, 81, 82, 83, 84, 136], "prior_acqusition_funct": 29, "probability_design": 98, "probability_improv": 30, "q": 8, "quadrat": 131, "random": 13, "random_design": [55, 94, 95, 96, 97, 98], "random_facad": 49, "random_forest": [86, 87, 88], "random_model": 89, "random_search": 38, "rbf_kernel": 76, "refer": [5, 6], "reproduc": 11, "requir": 1, "return": 18, "run": 21, "runhistori": [13, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113], "runner": [114, 115, 116, 117, 118, 119, 120], "scaled_encod": 109, "scenario": [3, 121], "schaffer": 144, "script": 148, "selector": 13, "smac": [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], "smbo": 65, "sobol_design": 56, "space": 3, "specifi": 141, "sqrt_scaled_encod": 110, "start": [3, 18], "stochast": 140, "stop": 19, "subspac": [128, 129, 130], "successive_halv": 62, "support": 132, "surrog": 13, "target": [3, 18, 148], "target_function_runn": 119, "target_function_script_runn": 120, "tell": [17, 133], "termin": 19, "thompson": 31, "threshold": 19, "time": [138, 143, 147, 150, 152, 155], "tophat_prior": 84, "total": 141, "trial": 141, "turbo_subspac": 130, "us": 139, "usag": 22, "user": 136, "util": [122, 123, 124, 125, 126, 127, 128, 129, 130], "valid": 132, "vector": 132, "via": [0, 1, 141], "weight": 144, "white_kernel": 77, "window": [0, 1], "wsl": [0, 1]}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"2D Schaffer Function with Objective Weights": [[144, null]], "API References": [[5, null]], "Acquisition Function": [[13, "acquisition-function"]], "Acquisition Maximizer": [[13, "acquisition-maximizer"]], "Advanced Usage": [[22, null]], "Anaconda": [[1, "anaconda"]], "Ask-and-Tell": [[133, null]], "Ask-and-Tell Interface": [[17, null]], "Automatically Stopping": [[19, "automatically-stopping"]], "Basics": [[137, null], [151, "basics"]], "Call Target Function From Script": [[148, null]], "Call of the Target Function": [[18, "call-of-the-target-function"]], "Callback": [[13, "callback"]], "Classes": [[25, "classes"], [26, "classes"], [27, "classes"], [28, "classes"], [29, "classes"], [30, "classes"], [31, "classes"], [33, "classes"], [34, "classes"], [35, "classes"], [36, "classes"], [37, "classes"], [38, "classes"], [40, "classes"], [41, "classes"], [43, "classes"], [44, "classes"], [45, "classes"], [46, "classes"], [47, "classes"], [48, "classes"], [49, "classes"], [51, "classes"], [52, "classes"], [53, "classes"], [54, "classes"], [55, "classes"], [56, "classes"], [58, "classes"], [59, "classes"], [61, "classes"], [62, "classes"], [64, "classes"], [65, "classes"], [67, "classes"], [69, "classes"], [70, "classes"], [73, "classes"], [74, "classes"], [75, "classes"], [76, "classes"], [77, "classes"], [78, "classes"], [80, "classes"], [81, "classes"], [82, "classes"], [83, "classes"], [84, "classes"], [85, "classes"], [87, "classes"], [88, "classes"], [89, "classes"], [91, "classes"], [92, "classes"], [93, "classes"], [95, "classes"], [96, "classes"], [97, "classes"], [98, "classes"], [100, "classes"], [102, "classes"], [104, "classes"], [105, "classes"], [106, "classes"], [107, "classes"], [108, "classes"], [109, "classes"], [110, "classes"], [111, "classes"], [113, "classes"], [115, "classes"], [116, "classes"], [117, "classes"], [119, "classes"], [120, "classes"], [121, "classes"]], "Command-Line Interface": [[18, null], [149, null], [151, "command-line-interface"]], "Comparison": [[2, "comparison"]], "Components": [[13, null]], "Computation times": [[138, null], [143, null], [147, null], [150, null], [152, null], [155, null]], "Conda-forge": [[1, "conda-forge"]], "Configuration Selector": [[13, "configuration-selector"]], "Configuration Space": [[3, "configuration-space"]], "Contact": [[154, "contact"]], "Continue": [[10, null]], "Continue an Optimization": [[135, null]], "Custom Callback": [[134, null]], "Custom File": [[20, "custom-file"]], "Examples": [[151, null]], "Exceptions": [[112, "exceptions"], [118, "exceptions"]], "Experimental": [[0, null]], "F.A.Q.": [[8, null]], "Facade": [[3, "facade"]], "Features": [[2, "features"]], "Functions": [[60, "functions"], [123, "functions"], [124, "functions"], [125, "functions"], [126, "functions"], [127, "functions"]], "Getting Started": [[3, null]], "Glossary": [[7, null]], "Home": [[154, null]], "Initial Design": [[13, "initial-design"]], "Installation": [[1, null]], "Installation in Windows via WSL": [[0, "installation-in-windows-via-wsl"]], "Intensifier": [[13, "intensifier"]], "Interfaces": [[23, "interfaces"], [24, "interfaces"], [25, "interfaces"], [26, "interfaces"], [27, "interfaces"], [28, "interfaces"], [29, "interfaces"], [30, "interfaces"], [31, "interfaces"], [32, "interfaces"], [33, "interfaces"], [34, "interfaces"], [35, "interfaces"], [36, "interfaces"], [37, "interfaces"], [38, "interfaces"], [39, "interfaces"], [40, "interfaces"], [41, "interfaces"], [42, "interfaces"], [43, "interfaces"], [44, "interfaces"], [45, "interfaces"], [46, "interfaces"], [47, "interfaces"], [48, "interfaces"], [49, "interfaces"], [50, "interfaces"], [51, "interfaces"], [52, "interfaces"], [53, "interfaces"], [54, "interfaces"], [55, "interfaces"], [56, "interfaces"], [57, "interfaces"], [58, "interfaces"], [59, "interfaces"], [60, "interfaces"], [61, "interfaces"], [62, "interfaces"], [63, "interfaces"], [64, "interfaces"], [65, "interfaces"], [66, "interfaces"], [67, "interfaces"], [68, "interfaces"], [69, "interfaces"], [70, "interfaces"], [71, "interfaces"], [72, "interfaces"], [73, "interfaces"], [74, "interfaces"], [75, "interfaces"], [76, "interfaces"], [77, "interfaces"], [78, "interfaces"], [79, "interfaces"], [80, "interfaces"], [81, "interfaces"], [82, "interfaces"], [83, "interfaces"], [84, "interfaces"], [85, "interfaces"], [86, "interfaces"], [87, "interfaces"], [88, "interfaces"], [89, "interfaces"], [90, "interfaces"], [91, "interfaces"], [92, "interfaces"], [93, "interfaces"], [94, "interfaces"], [95, "interfaces"], [96, "interfaces"], [97, "interfaces"], [98, "interfaces"], [99, "interfaces"], [100, "interfaces"], [101, "interfaces"], [102, "interfaces"], [103, "interfaces"], [104, "interfaces"], [105, "interfaces"], [106, "interfaces"], [107, "interfaces"], [108, "interfaces"], [109, "interfaces"], [110, "interfaces"], [111, "interfaces"], [112, "interfaces"], [113, "interfaces"], [114, "interfaces"], [115, "interfaces"], [116, "interfaces"], [117, "interfaces"], [118, "interfaces"], [119, "interfaces"], [120, "interfaces"], [121, "interfaces"], [122, "interfaces"], [123, "interfaces"], [124, "interfaces"], [125, "interfaces"], [126, "interfaces"], [127, "interfaces"], [128, "interfaces"], [129, "interfaces"], [130, "interfaces"]], "Level": [[20, "level"]], "License": [[9, null]], "Logging": [[20, null]], "Minimal Example": [[4, null]], "Modules": [[23, "modules"], [24, "modules"], [32, "modules"], [39, "modules"], [42, "modules"], [50, "modules"], [57, "modules"], [63, "modules"], [66, "modules"], [68, "modules"], [72, "modules"], [79, "modules"], [86, "modules"], [90, "modules"], [94, "modules"], [99, "modules"], [101, "modules"], [114, "modules"], [122, "modules"], [128, "modules"]], "Multi-Fidelity Optimization": [[14, null]], "Multi-Fidelity and Multi-Instances": [[142, null], [151, "multi-fidelity-and-multi-instances"]], "Multi-Layer Perceptron Using Multiple Epochs": [[139, null]], "Multi-Objective": [[146, null], [151, "multi-objective"]], "Multi-Objective Algorithm": [[13, "multi-objective-algorithm"]], "Multi-Objective Optimization": [[15, null]], "Navigation": [[22, "navigation"]], "Optimization across Instances": [[16, null]], "Optimizations": [[12, null]], "Overview Figure": [[153, null]], "Package Overview": [[2, null]], "ParEGO": [[145, null]], "Parallelism": [[21, null]], "Quadratic Function": [[131, null]], "Random Design": [[13, "random-design"]], "References": [[6, null]], "Reproducibility": [[11, null]], "Requirements": [[1, "requirements"]], "Return of the Target Function": [[18, "return-of-the-target-function"]], "RunHistory": [[13, "runhistory"]], "RunHistory Encoder": [[13, "runhistory-encoder"]], "Running on a Cluster": [[21, "running-on-a-cluster"]], "Scenario": [[3, "scenario"]], "Specify Number of Trials via a Total Budget in Hyperband": [[141, null]], "Start the Optimization": [[18, "start-the-optimization"]], "Stochastic Gradient Descent On Multiple Datasets": [[140, null]], "Stopping Criteria": [[19, null]], "Support Vector Machine with Cross-Validation": [[132, null]], "Surrogate Model": [[13, "surrogate-model"]], "Target Function": [[3, "target-function"]], "Termination Cost Threshold": [[19, "termination-cost-threshold"]], "User Priors over the Optimum": [[136, null]], "Windows via WSL (Experimental)": [[1, "windows-via-wsl-experimental"]], "smac.acquisition": [[23, null]], "smac.acquisition.function": [[24, null]], "smac.acquisition.function.abstract_acquisition_function": [[25, null]], "smac.acquisition.function.confidence_bound": [[26, null]], "smac.acquisition.function.expected_improvement": [[27, null]], "smac.acquisition.function.integrated_acquisition_function": [[28, null]], "smac.acquisition.function.prior_acqusition_function": [[29, null]], "smac.acquisition.function.probability_improvement": [[30, null]], "smac.acquisition.function.thompson": [[31, null]], "smac.acquisition.maximizer": [[32, null]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, null]], "smac.acquisition.maximizer.differential_evolution": [[34, null]], "smac.acquisition.maximizer.helpers": [[35, null]], "smac.acquisition.maximizer.local_and_random_search": [[36, null]], "smac.acquisition.maximizer.local_search": [[37, null]], "smac.acquisition.maximizer.random_search": [[38, null]], "smac.callback": [[39, null]], "smac.callback.callback": [[40, null]], "smac.callback.metadata_callback": [[41, null]], "smac.facade": [[42, null]], "smac.facade.abstract_facade": [[43, null]], "smac.facade.algorithm_configuration_facade": [[44, null]], "smac.facade.blackbox_facade": [[45, null]], "smac.facade.hyperband_facade": [[46, null]], "smac.facade.hyperparameter_optimization_facade": [[47, null]], "smac.facade.multi_fidelity_facade": [[48, null]], "smac.facade.random_facade": [[49, null]], "smac.initial_design": [[50, null]], "smac.initial_design.abstract_initial_design": [[51, null]], "smac.initial_design.default_design": [[52, null]], "smac.initial_design.factorial_design": [[53, null]], "smac.initial_design.latin_hypercube_design": [[54, null]], "smac.initial_design.random_design": [[55, null]], "smac.initial_design.sobol_design": [[56, null]], "smac.intensifier": [[57, null]], "smac.intensifier.abstract_intensifier": [[58, null]], "smac.intensifier.hyperband": [[59, null]], "smac.intensifier.hyperband_utils": [[60, null]], "smac.intensifier.intensifier": [[61, null]], "smac.intensifier.successive_halving": [[62, null]], "smac.main": [[63, null]], "smac.main.config_selector": [[64, null]], "smac.main.smbo": [[65, null]], "smac.model": [[66, null]], "smac.model.abstract_model": [[67, null]], "smac.model.gaussian_process": [[68, null]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, null]], "smac.model.gaussian_process.gaussian_process": [[70, null]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, null]], "smac.model.gaussian_process.kernels": [[72, null]], "smac.model.gaussian_process.kernels.base_kernels": [[73, null]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, null]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, null]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, null]], "smac.model.gaussian_process.kernels.white_kernel": [[77, null]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, null]], "smac.model.gaussian_process.priors": [[79, null]], "smac.model.gaussian_process.priors.abstract_prior": [[80, null]], "smac.model.gaussian_process.priors.gamma_prior": [[81, null]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, null]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, null]], "smac.model.gaussian_process.priors.tophat_prior": [[84, null]], "smac.model.multi_objective_model": [[85, null]], "smac.model.random_forest": [[86, null]], "smac.model.random_forest.abstract_random_forest": [[87, null]], "smac.model.random_forest.random_forest": [[88, null]], "smac.model.random_model": [[89, null]], "smac.multi_objective": [[90, null]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, null]], "smac.multi_objective.aggregation_strategy": [[92, null]], "smac.multi_objective.parego": [[93, null]], "smac.random_design": [[94, null]], "smac.random_design.abstract_random_design": [[95, null]], "smac.random_design.annealing_design": [[96, null]], "smac.random_design.modulus_design": [[97, null]], "smac.random_design.probability_design": [[98, null]], "smac.runhistory": [[99, null]], "smac.runhistory.dataclasses": [[100, null]], "smac.runhistory.encoder": [[101, null]], "smac.runhistory.encoder.abstract_encoder": [[102, null]], "smac.runhistory.encoder.boing_encoder": [[103, null]], "smac.runhistory.encoder.eips_encoder": [[104, null]], "smac.runhistory.encoder.encoder": [[105, null]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, null]], "smac.runhistory.encoder.log_encoder": [[107, null]], "smac.runhistory.encoder.log_scaled_encoder": [[108, null]], "smac.runhistory.encoder.scaled_encoder": [[109, null]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, null]], "smac.runhistory.enumerations": [[111, null]], "smac.runhistory.errors": [[112, null]], "smac.runhistory.runhistory": [[113, null]], "smac.runner": [[114, null]], "smac.runner.abstract_runner": [[115, null]], "smac.runner.abstract_serial_runner": [[116, null]], "smac.runner.dask_runner": [[117, null]], "smac.runner.exceptions": [[118, null]], "smac.runner.target_function_runner": [[119, null]], "smac.runner.target_function_script_runner": [[120, null]], "smac.scenario": [[121, null]], "smac.utils": [[122, null]], "smac.utils.configspace": [[123, null]], "smac.utils.data_structures": [[124, null]], "smac.utils.logging": [[125, null]], "smac.utils.multi_objective": [[126, null]], "smac.utils.pareto_front": [[127, null]], "smac.utils.subspaces": [[128, null]], "smac.utils.subspaces.boing_subspace": [[129, null]], "smac.utils.subspaces.turbo_subspace": [[130, null]]}, "docnames": ["10_experimental", "1_installation", "2_package_overview", "3_getting_started", "4_minimal_example", "5_api", "6_references", "7_glossary", "8_faq", "9_license", "advanced_usage/10_continue", "advanced_usage/11_reproducibility", "advanced_usage/12_optimizations", "advanced_usage/1_components", "advanced_usage/2_multi_fidelity", "advanced_usage/3_multi_objective", "advanced_usage/4_instances", "advanced_usage/5_ask_and_tell", "advanced_usage/6_commandline", "advanced_usage/7_stopping_criteria", "advanced_usage/8_logging", "advanced_usage/9_parallelism", "advanced_usage/index", "api/smac.acquisition", "api/smac.acquisition.function", "api/smac.acquisition.function.abstract_acquisition_function", "api/smac.acquisition.function.confidence_bound", "api/smac.acquisition.function.expected_improvement", "api/smac.acquisition.function.integrated_acquisition_function", "api/smac.acquisition.function.prior_acqusition_function", "api/smac.acquisition.function.probability_improvement", "api/smac.acquisition.function.thompson", "api/smac.acquisition.maximizer", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer", "api/smac.acquisition.maximizer.differential_evolution", "api/smac.acquisition.maximizer.helpers", "api/smac.acquisition.maximizer.local_and_random_search", "api/smac.acquisition.maximizer.local_search", "api/smac.acquisition.maximizer.random_search", "api/smac.callback", "api/smac.callback.callback", "api/smac.callback.metadata_callback", "api/smac.facade", "api/smac.facade.abstract_facade", "api/smac.facade.algorithm_configuration_facade", "api/smac.facade.blackbox_facade", "api/smac.facade.hyperband_facade", "api/smac.facade.hyperparameter_optimization_facade", "api/smac.facade.multi_fidelity_facade", "api/smac.facade.random_facade", "api/smac.initial_design", "api/smac.initial_design.abstract_initial_design", "api/smac.initial_design.default_design", "api/smac.initial_design.factorial_design", "api/smac.initial_design.latin_hypercube_design", "api/smac.initial_design.random_design", "api/smac.initial_design.sobol_design", "api/smac.intensifier", "api/smac.intensifier.abstract_intensifier", "api/smac.intensifier.hyperband", "api/smac.intensifier.hyperband_utils", "api/smac.intensifier.intensifier", "api/smac.intensifier.successive_halving", "api/smac.main", "api/smac.main.config_selector", "api/smac.main.smbo", "api/smac.model", "api/smac.model.abstract_model", "api/smac.model.gaussian_process", "api/smac.model.gaussian_process.abstract_gaussian_process", "api/smac.model.gaussian_process.gaussian_process", "api/smac.model.gaussian_process.gpytorch_gaussian_process", "api/smac.model.gaussian_process.kernels", "api/smac.model.gaussian_process.kernels.base_kernels", "api/smac.model.gaussian_process.kernels.hamming_kernel", "api/smac.model.gaussian_process.kernels.matern_kernel", "api/smac.model.gaussian_process.kernels.rbf_kernel", "api/smac.model.gaussian_process.kernels.white_kernel", "api/smac.model.gaussian_process.mcmc_gaussian_process", "api/smac.model.gaussian_process.priors", "api/smac.model.gaussian_process.priors.abstract_prior", "api/smac.model.gaussian_process.priors.gamma_prior", "api/smac.model.gaussian_process.priors.horseshoe_prior", "api/smac.model.gaussian_process.priors.log_normal_prior", "api/smac.model.gaussian_process.priors.tophat_prior", "api/smac.model.multi_objective_model", "api/smac.model.random_forest", "api/smac.model.random_forest.abstract_random_forest", "api/smac.model.random_forest.random_forest", "api/smac.model.random_model", "api/smac.multi_objective", "api/smac.multi_objective.abstract_multi_objective_algorithm", "api/smac.multi_objective.aggregation_strategy", "api/smac.multi_objective.parego", "api/smac.random_design", "api/smac.random_design.abstract_random_design", "api/smac.random_design.annealing_design", "api/smac.random_design.modulus_design", "api/smac.random_design.probability_design", "api/smac.runhistory", "api/smac.runhistory.dataclasses", "api/smac.runhistory.encoder", "api/smac.runhistory.encoder.abstract_encoder", "api/smac.runhistory.encoder.boing_encoder", "api/smac.runhistory.encoder.eips_encoder", "api/smac.runhistory.encoder.encoder", "api/smac.runhistory.encoder.inverse_scaled_encoder", "api/smac.runhistory.encoder.log_encoder", "api/smac.runhistory.encoder.log_scaled_encoder", "api/smac.runhistory.encoder.scaled_encoder", "api/smac.runhistory.encoder.sqrt_scaled_encoder", "api/smac.runhistory.enumerations", "api/smac.runhistory.errors", "api/smac.runhistory.runhistory", "api/smac.runner", "api/smac.runner.abstract_runner", "api/smac.runner.abstract_serial_runner", "api/smac.runner.dask_runner", "api/smac.runner.exceptions", "api/smac.runner.target_function_runner", "api/smac.runner.target_function_script_runner", "api/smac.scenario", "api/smac.utils", "api/smac.utils.configspace", "api/smac.utils.data_structures", "api/smac.utils.logging", "api/smac.utils.multi_objective", "api/smac.utils.pareto_front", "api/smac.utils.subspaces", "api/smac.utils.subspaces.boing_subspace", "api/smac.utils.subspaces.turbo_subspace", "examples/1_basics/1_quadratic_function", "examples/1_basics/2_svm_cv", "examples/1_basics/3_ask_and_tell", "examples/1_basics/4_callback", "examples/1_basics/5_continue", "examples/1_basics/6_priors", "examples/1_basics/index", "examples/1_basics/sg_execution_times", "examples/2_multi_fidelity/1_mlp_epochs", "examples/2_multi_fidelity/2_sgd_datasets", "examples/2_multi_fidelity/3_specify_HB_via_total_budget", "examples/2_multi_fidelity/index", "examples/2_multi_fidelity/sg_execution_times", "examples/3_multi_objective/1_schaffer", "examples/3_multi_objective/2_parego", "examples/3_multi_objective/index", "examples/3_multi_objective/sg_execution_times", "examples/5_commandline/1_call_target_function_script", "examples/5_commandline/index", "examples/5_commandline/sg_execution_times", "examples/index", "examples/sg_execution_times", "images/README", "index", "sg_execution_times"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1}, "filenames": ["10_experimental.rst", "1_installation.rst", "2_package_overview.rst", "3_getting_started.rst", "4_minimal_example.rst", "5_api.rst", "6_references.rst", "7_glossary.rst", "8_faq.rst", "9_license.rst", "advanced_usage/10_continue.rst", "advanced_usage/11_reproducibility.rst", "advanced_usage/12_optimizations.rst", "advanced_usage/1_components.rst", "advanced_usage/2_multi_fidelity.rst", "advanced_usage/3_multi_objective.rst", "advanced_usage/4_instances.rst", "advanced_usage/5_ask_and_tell.rst", "advanced_usage/6_commandline.rst", "advanced_usage/7_stopping_criteria.rst", "advanced_usage/8_logging.rst", "advanced_usage/9_parallelism.rst", "advanced_usage/index.rst", "api/smac.acquisition.rst", "api/smac.acquisition.function.rst", "api/smac.acquisition.function.abstract_acquisition_function.rst", "api/smac.acquisition.function.confidence_bound.rst", "api/smac.acquisition.function.expected_improvement.rst", "api/smac.acquisition.function.integrated_acquisition_function.rst", "api/smac.acquisition.function.prior_acqusition_function.rst", "api/smac.acquisition.function.probability_improvement.rst", "api/smac.acquisition.function.thompson.rst", "api/smac.acquisition.maximizer.rst", "api/smac.acquisition.maximizer.abstract_acqusition_maximizer.rst", "api/smac.acquisition.maximizer.differential_evolution.rst", "api/smac.acquisition.maximizer.helpers.rst", "api/smac.acquisition.maximizer.local_and_random_search.rst", "api/smac.acquisition.maximizer.local_search.rst", "api/smac.acquisition.maximizer.random_search.rst", "api/smac.callback.rst", "api/smac.callback.callback.rst", "api/smac.callback.metadata_callback.rst", "api/smac.facade.rst", "api/smac.facade.abstract_facade.rst", "api/smac.facade.algorithm_configuration_facade.rst", "api/smac.facade.blackbox_facade.rst", "api/smac.facade.hyperband_facade.rst", "api/smac.facade.hyperparameter_optimization_facade.rst", "api/smac.facade.multi_fidelity_facade.rst", "api/smac.facade.random_facade.rst", "api/smac.initial_design.rst", "api/smac.initial_design.abstract_initial_design.rst", "api/smac.initial_design.default_design.rst", "api/smac.initial_design.factorial_design.rst", "api/smac.initial_design.latin_hypercube_design.rst", "api/smac.initial_design.random_design.rst", "api/smac.initial_design.sobol_design.rst", "api/smac.intensifier.rst", "api/smac.intensifier.abstract_intensifier.rst", "api/smac.intensifier.hyperband.rst", "api/smac.intensifier.hyperband_utils.rst", "api/smac.intensifier.intensifier.rst", "api/smac.intensifier.successive_halving.rst", "api/smac.main.rst", "api/smac.main.config_selector.rst", "api/smac.main.smbo.rst", "api/smac.model.rst", "api/smac.model.abstract_model.rst", "api/smac.model.gaussian_process.rst", "api/smac.model.gaussian_process.abstract_gaussian_process.rst", "api/smac.model.gaussian_process.gaussian_process.rst", "api/smac.model.gaussian_process.gpytorch_gaussian_process.rst", "api/smac.model.gaussian_process.kernels.rst", "api/smac.model.gaussian_process.kernels.base_kernels.rst", "api/smac.model.gaussian_process.kernels.hamming_kernel.rst", "api/smac.model.gaussian_process.kernels.matern_kernel.rst", "api/smac.model.gaussian_process.kernels.rbf_kernel.rst", "api/smac.model.gaussian_process.kernels.white_kernel.rst", "api/smac.model.gaussian_process.mcmc_gaussian_process.rst", "api/smac.model.gaussian_process.priors.rst", "api/smac.model.gaussian_process.priors.abstract_prior.rst", "api/smac.model.gaussian_process.priors.gamma_prior.rst", "api/smac.model.gaussian_process.priors.horseshoe_prior.rst", "api/smac.model.gaussian_process.priors.log_normal_prior.rst", "api/smac.model.gaussian_process.priors.tophat_prior.rst", "api/smac.model.multi_objective_model.rst", "api/smac.model.random_forest.rst", "api/smac.model.random_forest.abstract_random_forest.rst", "api/smac.model.random_forest.random_forest.rst", "api/smac.model.random_model.rst", "api/smac.multi_objective.rst", "api/smac.multi_objective.abstract_multi_objective_algorithm.rst", "api/smac.multi_objective.aggregation_strategy.rst", "api/smac.multi_objective.parego.rst", "api/smac.random_design.rst", "api/smac.random_design.abstract_random_design.rst", "api/smac.random_design.annealing_design.rst", "api/smac.random_design.modulus_design.rst", "api/smac.random_design.probability_design.rst", "api/smac.runhistory.rst", "api/smac.runhistory.dataclasses.rst", "api/smac.runhistory.encoder.rst", "api/smac.runhistory.encoder.abstract_encoder.rst", "api/smac.runhistory.encoder.boing_encoder.rst", "api/smac.runhistory.encoder.eips_encoder.rst", "api/smac.runhistory.encoder.encoder.rst", "api/smac.runhistory.encoder.inverse_scaled_encoder.rst", "api/smac.runhistory.encoder.log_encoder.rst", "api/smac.runhistory.encoder.log_scaled_encoder.rst", "api/smac.runhistory.encoder.scaled_encoder.rst", "api/smac.runhistory.encoder.sqrt_scaled_encoder.rst", "api/smac.runhistory.enumerations.rst", "api/smac.runhistory.errors.rst", "api/smac.runhistory.runhistory.rst", "api/smac.runner.rst", "api/smac.runner.abstract_runner.rst", "api/smac.runner.abstract_serial_runner.rst", "api/smac.runner.dask_runner.rst", "api/smac.runner.exceptions.rst", "api/smac.runner.target_function_runner.rst", "api/smac.runner.target_function_script_runner.rst", "api/smac.scenario.rst", "api/smac.utils.rst", "api/smac.utils.configspace.rst", "api/smac.utils.data_structures.rst", "api/smac.utils.logging.rst", "api/smac.utils.multi_objective.rst", "api/smac.utils.pareto_front.rst", "api/smac.utils.subspaces.rst", "api/smac.utils.subspaces.boing_subspace.rst", "api/smac.utils.subspaces.turbo_subspace.rst", "examples/1_basics/1_quadratic_function.rst", "examples/1_basics/2_svm_cv.rst", "examples/1_basics/3_ask_and_tell.rst", "examples/1_basics/4_callback.rst", "examples/1_basics/5_continue.rst", "examples/1_basics/6_priors.rst", "examples/1_basics/index.rst", "examples/1_basics/sg_execution_times.rst", "examples/2_multi_fidelity/1_mlp_epochs.rst", "examples/2_multi_fidelity/2_sgd_datasets.rst", "examples/2_multi_fidelity/3_specify_HB_via_total_budget.rst", "examples/2_multi_fidelity/index.rst", "examples/2_multi_fidelity/sg_execution_times.rst", "examples/3_multi_objective/1_schaffer.rst", "examples/3_multi_objective/2_parego.rst", "examples/3_multi_objective/index.rst", "examples/3_multi_objective/sg_execution_times.rst", "examples/5_commandline/1_call_target_function_script.rst", "examples/5_commandline/index.rst", "examples/5_commandline/sg_execution_times.rst", "examples/index.rst", "examples/sg_execution_times.rst", "images/README.md", "index.rst", "sg_execution_times.rst"], "indexentries": {"__call__() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.constantkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.productkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.base_kernels.sumkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.constantkernel method)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.productkernel method)": [[72, "smac.model.gaussian_process.kernels.ProductKernel.__call__", false]], "__call__() (smac.model.gaussian_process.kernels.sumkernel method)": [[72, "smac.model.gaussian_process.kernels.SumKernel.__call__", false]], "__call__() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.__call__", false]], "__call__() (smac.multi_objective.aggregation_strategy.meanaggregationstrategy method)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.meanaggregationstrategy method)": [[90, "smac.multi_objective.MeanAggregationStrategy.__call__", false]], "__call__() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.__call__", false]], "__call__() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.__call__", false]], "__call__() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.__call__", false]], "__call__() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.__call__", false]], "__call__() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.__call__", false]], "__contains__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__contains__", false]], "__contains__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__contains__", false]], "__del__() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.__del__", false]], "__del__() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.__del__", false]], "__eq__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__eq__", false]], "__eq__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__eq__", false]], "__getitem__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__getitem__", false]], "__getitem__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__getitem__", false]], "__iter__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.__iter__", false]], "__iter__() (smac.main.config_selector.configselector method)": [[64, "smac.main.config_selector.ConfigSelector.__iter__", false]], "__iter__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__iter__", false]], "__iter__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__iter__", false]], "__len__() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.__len__", false]], "__len__() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.__len__", false]], "__post_init__() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.__post_init__", false]], "__post_init__() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.__post_init__", false]], "__post_init__() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.__post_init__", false]], "_acquisition_function (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._acquisition_function", false]], "_acquisition_function (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._acquisition_function", false]], "_beta (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._beta", false]], "_beta (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._beta", false]], "_eta (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._eta", false]], "_eta (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._eta", false]], "_eta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._eta", false]], "_eta (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._eta", false]], "_functions (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction attribute)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction._functions", false]], "_functions (smac.acquisition.function.integratedacquisitionfunction attribute)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction._functions", false]], "_log (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._log", false]], "_log (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._log", false]], "_num_data (smac.acquisition.function.confidence_bound.lcb attribute)": [[26, "smac.acquisition.function.confidence_bound.LCB._num_data", false]], "_num_data (smac.acquisition.function.lcb attribute)": [[24, "smac.acquisition.function.LCB._num_data", false]], "_xi (smac.acquisition.function.ei attribute)": [[24, "smac.acquisition.function.EI._xi", false]], "_xi (smac.acquisition.function.expected_improvement.ei attribute)": [[27, "smac.acquisition.function.expected_improvement.EI._xi", false]], "abstractacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction", false]], "abstractacquisitionfunction (class in smac.acquisition.function.abstract_acquisition_function)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer", false]], "abstractacquisitionmaximizer (class in smac.acquisition.maximizer.abstract_acqusition_maximizer)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer", false]], "abstractfacade (class in smac.facade)": [[42, "smac.facade.AbstractFacade", false]], "abstractfacade (class in smac.facade.abstract_facade)": [[43, "smac.facade.abstract_facade.AbstractFacade", false]], "abstractgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess", false]], "abstractgaussianprocess (class in smac.model.gaussian_process.abstract_gaussian_process)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess", false]], "abstractinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.AbstractInitialDesign", false]], "abstractinitialdesign (class in smac.initial_design.abstract_initial_design)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign", false]], "abstractintensifier (class in smac.intensifier)": [[57, "smac.intensifier.AbstractIntensifier", false]], "abstractintensifier (class in smac.intensifier.abstract_intensifier)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier", false]], "abstractkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel", false]], "abstractkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel", false]], "abstractmodel (class in smac.model)": [[66, "smac.model.AbstractModel", false]], "abstractmodel (class in smac.model.abstract_model)": [[67, "smac.model.abstract_model.AbstractModel", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm", false]], "abstractmultiobjectivealgorithm (class in smac.multi_objective.abstract_multi_objective_algorithm)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm", false]], "abstractprior (class in smac.model.gaussian_process.priors.abstract_prior)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior", false]], "abstractrandomdesign (class in smac.random_design)": [[94, "smac.random_design.AbstractRandomDesign", false]], "abstractrandomdesign (class in smac.random_design.abstract_random_design)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign", false]], "abstractrandomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.AbstractRandomForest", false]], "abstractrandomforest (class in smac.model.random_forest.abstract_random_forest)": [[87, "smac.model.random_forest.abstract_random_forest.AbstractRandomForest", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder", false]], "abstractrunhistoryencoder (class in smac.runhistory.encoder.abstract_encoder)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder", false]], "abstractrunner (class in smac.runner)": [[114, "smac.runner.AbstractRunner", false]], "abstractrunner (class in smac.runner.abstract_runner)": [[115, "smac.runner.abstract_runner.AbstractRunner", false]], "abstractserialrunner (class in smac.runner.abstract_serial_runner)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner", false]], "acquisition_function (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.acquisition_function", false]], "acquisition_function (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.acquisition_function", false]], "add() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add", false]], "add() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add", false]], "add_running_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_running_trial", false]], "add_running_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_running_trial", false]], "add_trial() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.add_trial", false]], "add_trial() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.add_trial", false]], "algorithmconfigurationfacade (class in smac.facade)": [[42, "smac.facade.AlgorithmConfigurationFacade", false]], "algorithmconfigurationfacade (class in smac.facade.algorithm_configuration_facade)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade", false]], "ask() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.ask", false]], "ask() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.ask", false]], "ask() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.ask", false]], "average_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.average_cost", false]], "average_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.average_cost", false]], "batch() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.batch", false]], "bayesian optimization": [[7, "term-Bayesian-Optimization", true]], "bb": [[7, "term-BB", true]], "black-box": [[7, "term-Black-Box", true]], "blackboxfacade (class in smac.facade)": [[42, "smac.facade.BlackBoxFacade", false]], "blackboxfacade (class in smac.facade.blackbox_facade)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade", false]], "bo": [[7, "term-BO", true]], "bohb": [[7, "term-BOHB", true]], "budget": [[7, "term-Budget", true]], "budget_exhausted (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.budget_exhausted", false]], "calculate_pareto_front() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.calculate_pareto_front", false]], "callback (class in smac.callback)": [[39, "smac.callback.Callback", false]], "callback (class in smac.callback.callback)": [[40, "smac.callback.callback.Callback", false]], "challengerlist (class in smac.acquisition.maximizer.helpers)": [[35, "smac.acquisition.maximizer.helpers.ChallengerList", false]], "check() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.check", false]], "check() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.check", false]], "check() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.check", false]], "check() (smac.random_design.modulus_design.modulusrandomdesign method)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.modulusrandomdesign method)": [[94, "smac.random_design.ModulusRandomDesign.check", false]], "check() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.check", false]], "check() (smac.random_design.probability_design.probabilityrandomdesign method)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.check", false]], "check() (smac.random_design.probabilityrandomdesign method)": [[94, "smac.random_design.ProbabilityRandomDesign.check", false]], "cli": [[7, "term-CLI", true]], "close() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.close", false]], "close() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.close", false]], "config_generator (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_generator", false]], "config_generator (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_generator", false]], "config_ids (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.config_ids", false]], "config_ids (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.config_ids", false]], "config_selector (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.config_selector", false]], "config_selector (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.config_selector", false]], "configselector (class in smac.main.config_selector)": [[64, "smac.main.config_selector.ConfigSelector", false]], "constantkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ConstantKernel", false]], "constantkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel", false]], "convert_configurations_to_array() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.convert_configurations_to_array", false]], "cosineannealingrandomdesign (class in smac.random_design)": [[94, "smac.random_design.CosineAnnealingRandomDesign", false]], "cosineannealingrandomdesign (class in smac.random_design.annealing_design)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign", false]], "count_available_workers() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.count_available_workers", false]], "count_available_workers() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.count_available_workers", false]], "count_available_workers() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.count_available_workers", false]], "count_available_workers() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.count_available_workers", false]], "count_instance_features() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_instance_features", false]], "count_objectives() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.count_objectives", false]], "cv": [[7, "term-CV", true]], "daskparallelrunner (class in smac.runner)": [[114, "smac.runner.DaskParallelRunner", false]], "daskparallelrunner (class in smac.runner.dask_runner)": [[117, "smac.runner.dask_runner.DaskParallelRunner", false]], "defaultinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.DefaultInitialDesign", false]], "defaultinitialdesign (class in smac.initial_design.default_design)": [[52, "smac.initial_design.default_design.DefaultInitialDesign", false]], "determine_hb() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_HB", false]], "determine_hyperband_for_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.determine_hyperband_for_multifidelity", false]], "differentialevolution (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.DifferentialEvolution", false]], "differentialevolution (class in smac.acquisition.maximizer.differential_evolution)": [[34, "smac.acquisition.maximizer.differential_evolution.DifferentialEvolution", false]], "dynamicmodulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicModulusRandomDesign", false]], "dynamicmodulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.DynamicProbabilityRandomDesign", false]], "dynamicprobabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign", false]], "ei (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EI", false]], "ei (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EI", false]], "eips (class in smac.acquisition.function)": [[24, "smac.acquisition.function.EIPS", false]], "eips (class in smac.acquisition.function.expected_improvement)": [[27, "smac.acquisition.function.expected_improvement.EIPS", false]], "empty() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.empty", false]], "empty() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.empty", false]], "exists() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.exists", false]], "factorialinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.FactorialInitialDesign", false]], "factorialinitialdesign (class in smac.initial_design.factorial_design)": [[53, "smac.initial_design.factorial_design.FactorialInitialDesign", false]], "finished (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.finished", false]], "finished (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.finished", false]], "firstruncrashedexception": [[114, "smac.runner.FirstRunCrashedException", false], [118, "smac.runner.exceptions.FirstRunCrashedException", false]], "gammaprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.GammaPrior", false]], "gammaprior (class in smac.model.gaussian_process.priors.gamma_prior)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior", false]], "gaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.GaussianProcess", false]], "gaussianprocess (class in smac.model.gaussian_process.gaussian_process)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess", false]], "get_acquisition_function() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_function() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_function", false]], "get_acquisition_maximizer() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_acquisition_maximizer", false]], "get_acquisition_maximizer() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_acquisition_maximizer", false]], "get_callback() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_callback", false]], "get_callback() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_callback", false]], "get_conditional_hyperparameters() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_conditional_hyperparameters", false]], "get_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config", false]], "get_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config", false]], "get_config_hash() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_config_hash", false]], "get_config_id() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_config_id", false]], "get_config_id() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_config_id", false]], "get_config_selector() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_config_selector", false]], "get_config_selector() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_config_selector", false]], "get_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs", false]], "get_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs", false]], "get_configs_per_budget() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_configs_per_budget", false]], "get_configs_per_budget() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_configs_per_budget", false]], "get_configurations() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_configurations() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.get_configurations", false]], "get_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_cost", false]], "get_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_cost", false]], "get_gradient() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophat_prior.tophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.get_gradient", false]], "get_gradient() (smac.model.gaussian_process.priors.tophatprior method)": [[79, "smac.model.gaussian_process.priors.TophatPrior.get_gradient", false]], "get_incumbent() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_key_differences() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_key_differences", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbent_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbent_instance_seed_budget_keys", false]], "get_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_incumbents", false]], "get_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_incumbents", false]], "get_initial_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_initial_design", false]], "get_initial_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_initial_design", false]], "get_initial_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_initial_design", false]], "get_instance_seed_budget_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_budget_key", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_budget_keys() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_instance_seed_budget_keys", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.instanceseedbudgetkey method)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.dataclasses.trialinfo method)": [[100, "smac.runhistory.dataclasses.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.instanceseedbudgetkey method)": [[99, "smac.runhistory.InstanceSeedBudgetKey.get_instance_seed_key", false]], "get_instance_seed_key() (smac.runhistory.trialinfo method)": [[99, "smac.runhistory.TrialInfo.get_instance_seed_key", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_instance_seed_keys_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_instance_seed_keys_of_interest", false]], "get_intensifier() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperband_facade.hyperbandfacade static method)": [[46, "smac.facade.hyperband_facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperbandfacade static method)": [[42, "smac.facade.HyperbandFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multi_fidelity_facade.multifidelityfacade static method)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.multifidelityfacade static method)": [[42, "smac.facade.MultiFidelityFacade.get_intensifier", false]], "get_intensifier() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_intensifier", false]], "get_intensifier() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_intensifier", false]], "get_kernel() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_kernel", false]], "get_kernel() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_kernel", false]], "get_log_probability() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.softtophatprior method)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.get_log_probability", false]], "get_log_probability() (smac.model.gaussian_process.priors.tophat_prior.softtophatprior method)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.get_log_probability", false]], "get_logger() (in module smac.utils.logging)": [[125, "smac.utils.logging.get_logger", false]], "get_min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_min_cost", false]], "get_min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_min_cost", false]], "get_model() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_model", false]], "get_model() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_model", false]], "get_model() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_model", false]], "get_model() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_model", false]], "get_model() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_model", false]], "get_model() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_model", false]], "get_multi_objective_algorithm() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_multi_objective_algorithm", false]], "get_multi_objective_algorithm() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_multi_objective_algorithm", false]], "get_n_trials_for_hyperband_multifidelity() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.get_n_trials_for_hyperband_multifidelity", false]], "get_params() (smac.model.gaussian_process.kernels.abstractkernel method)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.get_params", false]], "get_params() (smac.model.gaussian_process.kernels.base_kernels.abstractkernel method)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.get_params", false]], "get_random_design() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_random_design", false]], "get_random_design() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_random_design", false]], "get_random_design() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_random_design", false]], "get_random_design() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_random_design", false]], "get_rejected_configs() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_rejected_configs() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_rejected_configs", false]], "get_runhistory_encoder() (smac.facade.abstract_facade.abstractfacade static method)": [[43, "smac.facade.abstract_facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.abstractfacade static method)": [[42, "smac.facade.AbstractFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithm_configuration_facade.algorithmconfigurationfacade static method)": [[44, "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.algorithmconfigurationfacade static method)": [[42, "smac.facade.AlgorithmConfigurationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackbox_facade.blackboxfacade static method)": [[45, "smac.facade.blackbox_facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.blackboxfacade static method)": [[42, "smac.facade.BlackBoxFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameter_optimization_facade.hyperparameteroptimizationfacade static method)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.hyperparameteroptimizationfacade static method)": [[42, "smac.facade.HyperparameterOptimizationFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.random_facade.randomfacade static method)": [[49, "smac.facade.random_facade.RandomFacade.get_runhistory_encoder", false]], "get_runhistory_encoder() (smac.facade.randomfacade static method)": [[42, "smac.facade.RandomFacade.get_runhistory_encoder", false]], "get_running_configs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_configs", false]], "get_running_configs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_configs", false]], "get_running_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_running_trials", false]], "get_running_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_running_trials", false]], "get_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_state", false]], "get_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.get_state", false]], "get_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.get_state", false]], "get_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.get_state", false]], "get_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_state", false]], "get_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_state", false]], "get_trials() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.get_trials", false]], "get_trials() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.get_trials", false]], "get_trials_of_interest() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.get_trials_of_interest", false]], "get_trials_of_interest() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.get_trials_of_interest", false]], "get_types() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.get_types", false]], "gp": [[7, "term-GP", true]], "gp-mcmc": [[7, "term-GP-MCMC", true]], "hammingkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.HammingKernel", false]], "hammingkernel (class in smac.model.gaussian_process.kernels.hamming_kernel)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel", false]], "has_conditions (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.has_conditions", false]], "has_conditions (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.has_conditions", false]], "has_config() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.has_config", false]], "has_config() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.has_config", false]], "hb": [[7, "term-HB", true]], "horseshoeprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior", false]], "horseshoeprior (class in smac.model.gaussian_process.priors.horseshoe_prior)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior", false]], "hp": [[7, "term-HP", true]], "hyperband": [[7, "term-Hyperband", true]], "hyperband (class in smac.intensifier)": [[57, "smac.intensifier.Hyperband", false]], "hyperband (class in smac.intensifier.hyperband)": [[59, "smac.intensifier.hyperband.Hyperband", false]], "hyperbandfacade (class in smac.facade)": [[42, "smac.facade.HyperbandFacade", false]], "hyperbandfacade (class in smac.facade.hyperband_facade)": [[46, "smac.facade.hyperband_facade.HyperbandFacade", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.hyperparameter_length_scale", false]], "hyperparameter_length_scale (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.hyperparameter_length_scale", false]], "hyperparameteroptimizationfacade (class in smac.facade)": [[42, "smac.facade.HyperparameterOptimizationFacade", false]], "hyperparameteroptimizationfacade (class in smac.facade.hyperparameter_optimization_facade)": [[47, "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade", false]], "hyperparameters (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.hyperparameters", false]], "hyperparameters (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.hyperparameters", false]], "ids_config (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.ids_config", false]], "ids_config (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.ids_config", false]], "incremental_update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.incremental_update_cost", false]], "incremental_update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.incremental_update_cost", false]], "incumbent": [[7, "term-Incumbent", true]], "incumbents_changed (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.incumbents_changed", false]], "incumbents_changed (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.incumbents_changed", false]], "instances": [[7, "term-Instances", true]], "instanceseedbudgetkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedBudgetKey", false]], "instanceseedbudgetkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedBudgetKey", false]], "instanceseedkey (class in smac.runhistory)": [[99, "smac.runhistory.InstanceSeedKey", false]], "instanceseedkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.InstanceSeedKey", false]], "integratedacquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction", false]], "integratedacquisitionfunction (class in smac.acquisition.function.integrated_acquisition_function)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction", false]], "intensification": [[7, "term-Intensification", true]], "intensifier (class in smac.intensifier)": [[57, "smac.intensifier.Intensifier", false]], "intensifier (class in smac.intensifier.intensifier)": [[61, "smac.intensifier.intensifier.Intensifier", false]], "intensifier (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.intensifier", false]], "intensifier (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.intensifier", false]], "intensifier (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.intensifier", false]], "is_running() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.is_running", false]], "is_running() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.is_running", false]], "is_running() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.is_running", false]], "is_running() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.is_running", false]], "iter_results() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.iter_results", false]], "iter_results() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.iter_results", false]], "iter_results() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.iter_results", false]], "iter_results() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.iter_results", false]], "latinhypercubeinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.LatinHypercubeInitialDesign", false]], "latinhypercubeinitialdesign (class in smac.initial_design.latin_hypercube_design)": [[54, "smac.initial_design.latin_hypercube_design.LatinHypercubeInitialDesign", false]], "lcb (class in smac.acquisition.function)": [[24, "smac.acquisition.function.LCB", false]], "lcb (class in smac.acquisition.function.confidence_bound)": [[26, "smac.acquisition.function.confidence_bound.LCB", false]], "load() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.load", false]], "load() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.load", false]], "load() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.load", false]], "load() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.load", false]], "load() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.load", false]], "load() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.load", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch", false]], "localandsortedrandomsearch (class in smac.acquisition.maximizer.local_and_random_search)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch", false]], "localsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.LocalSearch", false]], "localsearch (class in smac.acquisition.maximizer.local_search)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch", false]], "lognormalprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior", false]], "lognormalprior (class in smac.model.gaussian_process.priors.log_normal_prior)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior", false]], "make_serializable() (smac.scenario.scenario static method)": [[121, "smac.scenario.Scenario.make_serializable", false]], "maternkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.MaternKernel", false]], "maternkernel (class in smac.model.gaussian_process.kernels.matern_kernel)": [[75, "smac.model.gaussian_process.kernels.matern_kernel.MaternKernel", false]], "maximize() (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer method)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.maximize", false]], "maximize() (smac.acquisition.maximizer.abstractacquisitionmaximizer method)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.maximize", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess", false]], "mcmcgaussianprocess (class in smac.model.gaussian_process.mcmc_gaussian_process)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess", false]], "meanaggregationstrategy (class in smac.multi_objective)": [[90, "smac.multi_objective.MeanAggregationStrategy", false]], "meanaggregationstrategy (class in smac.multi_objective.aggregation_strategy)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy", false]], "meta (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.meta", false]], "meta (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.meta", false]], "meta (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.meta", false]], "meta (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.meta", false]], "meta (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.meta", false]], "meta (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.meta", false]], "meta (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.meta", false]], "meta (smac.acquisition.maximizer.abstract_acqusition_maximizer.abstractacquisitionmaximizer property)": [[33, "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.abstractacquisitionmaximizer property)": [[32, "smac.acquisition.maximizer.AbstractAcquisitionMaximizer.meta", false]], "meta (smac.acquisition.maximizer.local_and_random_search.localandsortedrandomsearch property)": [[36, "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.local_search.localsearch property)": [[37, "smac.acquisition.maximizer.local_search.LocalSearch.meta", false]], "meta (smac.acquisition.maximizer.localandsortedrandomsearch property)": [[32, "smac.acquisition.maximizer.LocalAndSortedRandomSearch.meta", false]], "meta (smac.acquisition.maximizer.localsearch property)": [[32, "smac.acquisition.maximizer.LocalSearch.meta", false]], "meta (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.meta", false]], "meta (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.meta", false]], "meta (smac.initial_design.abstract_initial_design.abstractinitialdesign property)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.meta", false]], "meta (smac.initial_design.abstractinitialdesign property)": [[50, "smac.initial_design.AbstractInitialDesign.meta", false]], "meta (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.meta", false]], "meta (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.meta", false]], "meta (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.meta", false]], "meta (smac.main.config_selector.configselector property)": [[64, "smac.main.config_selector.ConfigSelector.meta", false]], "meta (smac.model.abstract_model.abstractmodel property)": [[67, "smac.model.abstract_model.AbstractModel.meta", false]], "meta (smac.model.abstractmodel property)": [[66, "smac.model.AbstractModel.meta", false]], "meta (smac.model.gaussian_process.abstract_gaussian_process.abstractgaussianprocess property)": [[69, "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.abstractgaussianprocess property)": [[68, "smac.model.gaussian_process.AbstractGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussian_process.gaussianprocess property)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.gaussianprocess property)": [[68, "smac.model.gaussian_process.GaussianProcess.meta", false]], "meta (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hamming_kernel.hammingkernel property)": [[74, "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.kernels.hammingkernel property)": [[72, "smac.model.gaussian_process.kernels.HammingKernel.meta", false]], "meta (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.meta", false]], "meta (smac.model.gaussian_process.priors.abstract_prior.abstractprior property)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gamma_prior.gammaprior property)": [[81, "smac.model.gaussian_process.priors.gamma_prior.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.gammaprior property)": [[79, "smac.model.gaussian_process.priors.GammaPrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoe_prior.horseshoeprior property)": [[82, "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.horseshoeprior property)": [[79, "smac.model.gaussian_process.priors.HorseshoePrior.meta", false]], "meta (smac.model.gaussian_process.priors.log_normal_prior.lognormalprior property)": [[83, "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.lognormalprior property)": [[79, "smac.model.gaussian_process.priors.LogNormalPrior.meta", false]], "meta (smac.model.gaussian_process.priors.softtophatprior property)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.softtophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophat_prior.tophatprior property)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior.meta", false]], "meta (smac.model.gaussian_process.priors.tophatprior property)": [[79, "smac.model.gaussian_process.priors.TophatPrior.meta", false]], "meta (smac.model.random_forest.random_forest.randomforest property)": [[88, "smac.model.random_forest.random_forest.RandomForest.meta", false]], "meta (smac.model.random_forest.randomforest property)": [[86, "smac.model.random_forest.RandomForest.meta", false]], "meta (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm property)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.abstractmultiobjectivealgorithm property)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.meta", false]], "meta (smac.multi_objective.aggregation_strategy.meanaggregationstrategy property)": [[92, "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.meanaggregationstrategy property)": [[90, "smac.multi_objective.MeanAggregationStrategy.meta", false]], "meta (smac.multi_objective.parego property)": [[90, "smac.multi_objective.ParEGO.meta", false]], "meta (smac.multi_objective.parego.parego property)": [[93, "smac.multi_objective.parego.ParEGO.meta", false]], "meta (smac.random_design.abstract_random_design.abstractrandomdesign property)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.abstractrandomdesign property)": [[94, "smac.random_design.AbstractRandomDesign.meta", false]], "meta (smac.random_design.annealing_design.cosineannealingrandomdesign property)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.cosineannealingrandomdesign property)": [[94, "smac.random_design.CosineAnnealingRandomDesign.meta", false]], "meta (smac.random_design.dynamicmodulusrandomdesign property)": [[94, "smac.random_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.dynamicprobabilityrandomdesign property)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.dynamicmodulusrandomdesign property)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.meta", false]], "meta (smac.random_design.modulus_design.modulusrandomdesign property)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.modulusrandomdesign property)": [[94, "smac.random_design.ModulusRandomDesign.meta", false]], "meta (smac.random_design.probability_design.dynamicprobabilityrandomdesign property)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probability_design.probabilityrandomdesign property)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign.meta", false]], "meta (smac.random_design.probabilityrandomdesign property)": [[94, "smac.random_design.ProbabilityRandomDesign.meta", false]], "meta (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.meta", false]], "meta (smac.runner.abstract_runner.abstractrunner property)": [[115, "smac.runner.abstract_runner.AbstractRunner.meta", false]], "meta (smac.runner.abstractrunner property)": [[114, "smac.runner.AbstractRunner.meta", false]], "meta (smac.runner.target_function_runner.targetfunctionrunner property)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.meta", false]], "meta (smac.runner.target_function_script_runner.targetfunctionscriptrunner property)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.meta", false]], "meta (smac.runner.targetfunctionrunner property)": [[114, "smac.runner.TargetFunctionRunner.meta", false]], "meta (smac.scenario.scenario property)": [[121, "smac.scenario.Scenario.meta", false]], "metadatacallback (class in smac.callback)": [[39, "smac.callback.MetadataCallback", false]], "metadatacallback (class in smac.callback.metadata_callback)": [[41, "smac.callback.metadata_callback.MetadataCallback", false]], "mf": [[7, "term-MF", true]], "min_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.min_cost", false]], "min_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.min_cost", false]], "model (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.model", false]], "model (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.model", false]], "model (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.model", false]], "models (smac.model.gaussian_process.mcmc_gaussian_process.mcmcgaussianprocess property)": [[78, "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.gaussian_process.mcmcgaussianprocess property)": [[68, "smac.model.gaussian_process.MCMCGaussianProcess.models", false]], "models (smac.model.multi_objective_model.multiobjectivemodel property)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.models", false]], "models (smac.model.multiobjectivemodel property)": [[66, "smac.model.MultiObjectiveModel.models", false]], "module": [[23, "module-smac.acquisition", false], [24, "module-smac.acquisition.function", false], [25, "module-smac.acquisition.function.abstract_acquisition_function", false], [26, "module-smac.acquisition.function.confidence_bound", false], [27, "module-smac.acquisition.function.expected_improvement", false], [28, "module-smac.acquisition.function.integrated_acquisition_function", false], [29, "module-smac.acquisition.function.prior_acqusition_function", false], [30, "module-smac.acquisition.function.probability_improvement", false], [31, "module-smac.acquisition.function.thompson", false], [32, "module-smac.acquisition.maximizer", false], [33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false], [34, "module-smac.acquisition.maximizer.differential_evolution", false], [35, "module-smac.acquisition.maximizer.helpers", false], [36, "module-smac.acquisition.maximizer.local_and_random_search", false], [37, "module-smac.acquisition.maximizer.local_search", false], [38, "module-smac.acquisition.maximizer.random_search", false], [39, "module-smac.callback", false], [40, "module-smac.callback.callback", false], [41, "module-smac.callback.metadata_callback", false], [42, "module-smac.facade", false], [43, "module-smac.facade.abstract_facade", false], [44, "module-smac.facade.algorithm_configuration_facade", false], [45, "module-smac.facade.blackbox_facade", false], [46, "module-smac.facade.hyperband_facade", false], [47, "module-smac.facade.hyperparameter_optimization_facade", false], [48, "module-smac.facade.multi_fidelity_facade", false], [49, "module-smac.facade.random_facade", false], [50, "module-smac.initial_design", false], [51, "module-smac.initial_design.abstract_initial_design", false], [52, "module-smac.initial_design.default_design", false], [53, "module-smac.initial_design.factorial_design", false], [54, "module-smac.initial_design.latin_hypercube_design", false], [55, "module-smac.initial_design.random_design", false], [56, "module-smac.initial_design.sobol_design", false], [57, "module-smac.intensifier", false], [58, "module-smac.intensifier.abstract_intensifier", false], [59, "module-smac.intensifier.hyperband", false], [60, "module-smac.intensifier.hyperband_utils", false], [61, "module-smac.intensifier.intensifier", false], [62, "module-smac.intensifier.successive_halving", false], [63, "module-smac.main", false], [64, "module-smac.main.config_selector", false], [65, "module-smac.main.smbo", false], [66, "module-smac.model", false], [67, "module-smac.model.abstract_model", false], [68, "module-smac.model.gaussian_process", false], [69, "module-smac.model.gaussian_process.abstract_gaussian_process", false], [70, "module-smac.model.gaussian_process.gaussian_process", false], [71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false], [72, "module-smac.model.gaussian_process.kernels", false], [73, "module-smac.model.gaussian_process.kernels.base_kernels", false], [74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false], [75, "module-smac.model.gaussian_process.kernels.matern_kernel", false], [76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false], [77, "module-smac.model.gaussian_process.kernels.white_kernel", false], [78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false], [79, "module-smac.model.gaussian_process.priors", false], [80, "module-smac.model.gaussian_process.priors.abstract_prior", false], [81, "module-smac.model.gaussian_process.priors.gamma_prior", false], [82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false], [83, "module-smac.model.gaussian_process.priors.log_normal_prior", false], [84, "module-smac.model.gaussian_process.priors.tophat_prior", false], [85, "module-smac.model.multi_objective_model", false], [86, "module-smac.model.random_forest", false], [87, "module-smac.model.random_forest.abstract_random_forest", false], [88, "module-smac.model.random_forest.random_forest", false], [89, "module-smac.model.random_model", false], [90, "module-smac.multi_objective", false], [91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false], [92, "module-smac.multi_objective.aggregation_strategy", false], [93, "module-smac.multi_objective.parego", false], [94, "module-smac.random_design", false], [95, "module-smac.random_design.abstract_random_design", false], [96, "module-smac.random_design.annealing_design", false], [97, "module-smac.random_design.modulus_design", false], [98, "module-smac.random_design.probability_design", false], [99, "module-smac.runhistory", false], [100, "module-smac.runhistory.dataclasses", false], [101, "module-smac.runhistory.encoder", false], [102, "module-smac.runhistory.encoder.abstract_encoder", false], [103, "module-smac.runhistory.encoder.boing_encoder", false], [104, "module-smac.runhistory.encoder.eips_encoder", false], [105, "module-smac.runhistory.encoder.encoder", false], [106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false], [107, "module-smac.runhistory.encoder.log_encoder", false], [108, "module-smac.runhistory.encoder.log_scaled_encoder", false], [109, "module-smac.runhistory.encoder.scaled_encoder", false], [110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false], [111, "module-smac.runhistory.enumerations", false], [112, "module-smac.runhistory.errors", false], [113, "module-smac.runhistory.runhistory", false], [114, "module-smac.runner", false], [115, "module-smac.runner.abstract_runner", false], [116, "module-smac.runner.abstract_serial_runner", false], [117, "module-smac.runner.dask_runner", false], [118, "module-smac.runner.exceptions", false], [119, "module-smac.runner.target_function_runner", false], [120, "module-smac.runner.target_function_script_runner", false], [121, "module-smac.scenario", false], [122, "module-smac.utils", false], [123, "module-smac.utils.configspace", false], [124, "module-smac.utils.data_structures", false], [125, "module-smac.utils.logging", false], [126, "module-smac.utils.multi_objective", false], [127, "module-smac.utils.pareto_front", false], [128, "module-smac.utils.subspaces", false], [129, "module-smac.utils.subspaces.boing_subspace", false], [130, "module-smac.utils.subspaces.turbo_subspace", false]], "modulusrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ModulusRandomDesign", false]], "modulusrandomdesign (class in smac.random_design.modulus_design)": [[97, "smac.random_design.modulus_design.ModulusRandomDesign", false]], "multi-fidelity": [[7, "term-Multi-Fidelity", true]], "multi-objective": [[7, "term-Multi-Objective", true]], "multi_objective_algorithm (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.multi_objective_algorithm", false]], "multi_objective_algorithm (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.multi_objective_algorithm", false]], "multifidelityfacade (class in smac.facade)": [[42, "smac.facade.MultiFidelityFacade", false]], "multifidelityfacade (class in smac.facade.multi_fidelity_facade)": [[48, "smac.facade.multi_fidelity_facade.MultiFidelityFacade", false]], "multiobjectivemodel (class in smac.model)": [[66, "smac.model.MultiObjectiveModel", false]], "multiobjectivemodel (class in smac.model.multi_objective_model)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel", false]], "n_dims (smac.model.gaussian_process.kernels.abstractkernel property)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.n_dims", false]], "n_dims (smac.model.gaussian_process.kernels.base_kernels.abstractkernel property)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.n_dims", false]], "name (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction property)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.abstractacquisitionfunction property)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.name", false]], "name (smac.acquisition.function.confidence_bound.lcb property)": [[26, "smac.acquisition.function.confidence_bound.LCB.name", false]], "name (smac.acquisition.function.ei property)": [[24, "smac.acquisition.function.EI.name", false]], "name (smac.acquisition.function.eips property)": [[24, "smac.acquisition.function.EIPS.name", false]], "name (smac.acquisition.function.expected_improvement.ei property)": [[27, "smac.acquisition.function.expected_improvement.EI.name", false]], "name (smac.acquisition.function.expected_improvement.eips property)": [[27, "smac.acquisition.function.expected_improvement.EIPS.name", false]], "name (smac.acquisition.function.integrated_acquisition_function.integratedacquisitionfunction property)": [[28, "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.integratedacquisitionfunction property)": [[24, "smac.acquisition.function.IntegratedAcquisitionFunction.name", false]], "name (smac.acquisition.function.lcb property)": [[24, "smac.acquisition.function.LCB.name", false]], "name (smac.acquisition.function.pi property)": [[24, "smac.acquisition.function.PI.name", false]], "name (smac.acquisition.function.prior_acqusition_function.prioracquisitionfunction property)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.prioracquisitionfunction property)": [[24, "smac.acquisition.function.PriorAcquisitionFunction.name", false]], "name (smac.acquisition.function.probability_improvement.pi property)": [[30, "smac.acquisition.function.probability_improvement.PI.name", false]], "name (smac.acquisition.function.thompson.ts property)": [[31, "smac.acquisition.function.thompson.TS.name", false]], "name (smac.acquisition.function.ts property)": [[24, "smac.acquisition.function.TS.name", false]], "next_iteration() (smac.random_design.abstract_random_design.abstractrandomdesign method)": [[95, "smac.random_design.abstract_random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.abstractrandomdesign method)": [[94, "smac.random_design.AbstractRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.annealing_design.cosineannealingrandomdesign method)": [[96, "smac.random_design.annealing_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.cosineannealingrandomdesign method)": [[94, "smac.random_design.CosineAnnealingRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicmodulusrandomdesign method)": [[94, "smac.random_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.dynamicprobabilityrandomdesign method)": [[94, "smac.random_design.DynamicProbabilityRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.modulus_design.dynamicmodulusrandomdesign method)": [[97, "smac.random_design.modulus_design.DynamicModulusRandomDesign.next_iteration", false]], "next_iteration() (smac.random_design.probability_design.dynamicprobabilityrandomdesign method)": [[98, "smac.random_design.probability_design.DynamicProbabilityRandomDesign.next_iteration", false]], "normalize_costs() (in module smac.utils.multi_objective)": [[126, "smac.utils.multi_objective.normalize_costs", false]], "notevaluatederror": [[112, "smac.runhistory.errors.NotEvaluatedError", false]], "objective": [[7, "term-Objective", true]], "objective_bounds (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.objective_bounds", false]], "objective_bounds (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.objective_bounds", false]], "on_ask_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_end", false]], "on_ask_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_end", false]], "on_ask_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_ask_start", false]], "on_ask_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_ask_start", false]], "on_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_end", false]], "on_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_end", false]], "on_iteration_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_end", false]], "on_iteration_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_end", false]], "on_iteration_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_iteration_start", false]], "on_iteration_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_iteration_start", false]], "on_next_configurations_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_end", false]], "on_next_configurations_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_next_configurations_start", false]], "on_next_configurations_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_next_configurations_start", false]], "on_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_start", false]], "on_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_start", false]], "on_start() (smac.callback.metadata_callback.metadatacallback method)": [[41, "smac.callback.metadata_callback.MetadataCallback.on_start", false]], "on_start() (smac.callback.metadatacallback method)": [[39, "smac.callback.MetadataCallback.on_start", false]], "on_tell_end() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_end", false]], "on_tell_end() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_end", false]], "on_tell_start() (smac.callback.callback method)": [[39, "smac.callback.Callback.on_tell_start", false]], "on_tell_start() (smac.callback.callback.callback method)": [[40, "smac.callback.callback.Callback.on_tell_start", false]], "operate_on (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.operate_on", false]], "operate_on (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.operate_on", false]], "optimize() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimize", false]], "optimize() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.optimize", false]], "optimize() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.optimize", false]], "optimizer (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.optimizer", false]], "optimizer (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.optimizer", false]], "parego (class in smac.multi_objective)": [[90, "smac.multi_objective.ParEGO", false]], "parego (class in smac.multi_objective.parego)": [[93, "smac.multi_objective.parego.ParEGO", false]], "pi (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PI", false]], "pi (class in smac.acquisition.function.probability_improvement)": [[30, "smac.acquisition.function.probability_improvement.PI", false]], "predict() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict", false]], "predict() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict", false]], "predict_marginalized() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multi_objective_model.multiobjectivemodel method)": [[85, "smac.model.multi_objective_model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.multiobjectivemodel method)": [[66, "smac.model.MultiObjectiveModel.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.random_forest.randomforest method)": [[88, "smac.model.random_forest.random_forest.RandomForest.predict_marginalized", false]], "predict_marginalized() (smac.model.random_forest.randomforest method)": [[86, "smac.model.random_forest.RandomForest.predict_marginalized", false]], "print_config_changes() (in module smac.utils.configspace)": [[123, "smac.utils.configspace.print_config_changes", false]], "print_hyperband_summary() (in module smac.intensifier.hyperband_utils)": [[60, "smac.intensifier.hyperband_utils.print_hyperband_summary", false]], "print_stats() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.print_stats", false]], "print_tracker() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.print_tracker", false]], "print_tracker() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.print_tracker", false]], "prior (smac.model.gaussian_process.kernels.abstractkernel attribute)": [[72, "smac.model.gaussian_process.kernels.AbstractKernel.prior", false]], "prior (smac.model.gaussian_process.kernels.base_kernels.abstractkernel attribute)": [[73, "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel.prior", false]], "prioracquisitionfunction (class in smac.acquisition.function)": [[24, "smac.acquisition.function.PriorAcquisitionFunction", false]], "prioracquisitionfunction (class in smac.acquisition.function.prior_acqusition_function)": [[29, "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction", false]], "probabilityrandomdesign (class in smac.random_design)": [[94, "smac.random_design.ProbabilityRandomDesign", false]], "probabilityrandomdesign (class in smac.random_design.probability_design)": [[98, "smac.random_design.probability_design.ProbabilityRandomDesign", false]], "productkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.ProductKernel", false]], "productkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.ProductKernel", false]], "random online adaptive racing": [[7, "term-Random-Online-Adaptive-Racing", true]], "randomfacade (class in smac.facade)": [[42, "smac.facade.RandomFacade", false]], "randomfacade (class in smac.facade.random_facade)": [[49, "smac.facade.random_facade.RandomFacade", false]], "randomforest (class in smac.model.random_forest)": [[86, "smac.model.random_forest.RandomForest", false]], "randomforest (class in smac.model.random_forest.random_forest)": [[88, "smac.model.random_forest.random_forest.RandomForest", false]], "randominitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.RandomInitialDesign", false]], "randominitialdesign (class in smac.initial_design.random_design)": [[55, "smac.initial_design.random_design.RandomInitialDesign", false]], "randommodel (class in smac.model)": [[66, "smac.model.RandomModel", false]], "randommodel (class in smac.model.random_model)": [[89, "smac.model.random_model.RandomModel", false]], "randomsearch (class in smac.acquisition.maximizer)": [[32, "smac.acquisition.maximizer.RandomSearch", false]], "randomsearch (class in smac.acquisition.maximizer.random_search)": [[38, "smac.acquisition.maximizer.random_search.RandomSearch", false]], "rbfkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.RBFKernel", false]], "rbfkernel (class in smac.model.gaussian_process.kernels.rbf_kernel)": [[76, "smac.model.gaussian_process.kernels.rbf_kernel.RBFKernel", false]], "recursively_compare_dicts() (in module smac.utils.data_structures)": [[124, "smac.utils.data_structures.recursively_compare_dicts", false]], "register_callback() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.register_callback", false]], "remaining_cputime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_cputime", false]], "remaining_trials (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_trials", false]], "remaining_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.remaining_walltime", false]], "reset() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.reset", false]], "reset() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.reset", false]], "reset() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.reset", false]], "reset() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.reset", false]], "reset() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.reset", false]], "reset() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.reset", false]], "reset() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.reset", false]], "reset() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.reset", false]], "reset() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.reset", false]], "rf": [[7, "term-RF", true]], "roar": [[7, "term-ROAR", true]], "run() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run", false]], "run() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run", false]], "run() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.run", false]], "run() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.run", false]], "run() (smac.runner.target_function_runner.targetfunctionrunner method)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner.run", false]], "run() (smac.runner.target_function_script_runner.targetfunctionscriptrunner method)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner.run", false]], "run() (smac.runner.targetfunctionrunner method)": [[114, "smac.runner.TargetFunctionRunner.run", false]], "run_wrapper() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.run_wrapper", false]], "run_wrapper() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.run_wrapper", false]], "runhistory (class in smac.runhistory)": [[99, "smac.runhistory.RunHistory", false]], "runhistory (class in smac.runhistory.runhistory)": [[113, "smac.runhistory.runhistory.RunHistory", false]], "runhistory (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.runhistory", false]], "runhistory (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.runhistory", false]], "runhistory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.runhistory", false]], "runhistory (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.runhistory", false]], "runhistory (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder property)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistory (smac.runhistory.encoder.abstractrunhistoryencoder property)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.runhistory", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder", false]], "runhistoryeipsencoder (class in smac.runhistory.encoder.eips_encoder)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryEncoder", false]], "runhistoryencoder (class in smac.runhistory.encoder.encoder)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder", false]], "runhistoryinversescaledencoder (class in smac.runhistory.encoder.inverse_scaled_encoder)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder", false]], "runhistorylogencoder (class in smac.runhistory.encoder.log_encoder)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder", false]], "runhistorylogscaledencoder (class in smac.runhistory.encoder.log_scaled_encoder)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder", false]], "runhistoryscaledencoder (class in smac.runhistory.encoder.scaled_encoder)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder", false]], "runhistorysqrtscaledencoder (class in smac.runhistory.encoder.sqrt_scaled_encoder)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder", false]], "running (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.running", false]], "running (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.running", false]], "sample_from_prior() (smac.model.gaussian_process.priors.abstract_prior.abstractprior method)": [[80, "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior.sample_from_prior", false]], "sample_functions() (smac.model.gaussian_process.gaussian_process.gaussianprocess method)": [[70, "smac.model.gaussian_process.gaussian_process.GaussianProcess.sample_functions", false]], "sample_functions() (smac.model.gaussian_process.gaussianprocess method)": [[68, "smac.model.gaussian_process.GaussianProcess.sample_functions", false]], "save() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.save", false]], "save() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.save", false]], "save() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.save", false]], "save() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.save", false]], "save() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.save", false]], "save() (smac.scenario.scenario method)": [[121, "smac.scenario.Scenario.save", false]], "scenario (class in smac.scenario)": [[121, "smac.scenario.Scenario", false]], "scenario (smac.facade.abstract_facade.abstractfacade property)": [[43, "smac.facade.abstract_facade.AbstractFacade.scenario", false]], "scenario (smac.facade.abstractfacade property)": [[42, "smac.facade.AbstractFacade.scenario", false]], "select_configurations() (smac.initial_design.abstract_initial_design.abstractinitialdesign method)": [[51, "smac.initial_design.abstract_initial_design.AbstractInitialDesign.select_configurations", false]], "select_configurations() (smac.initial_design.abstractinitialdesign method)": [[50, "smac.initial_design.AbstractInitialDesign.select_configurations", false]], "set_state() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.set_state", false]], "set_state() (smac.intensifier.hyperband method)": [[57, "smac.intensifier.Hyperband.set_state", false]], "set_state() (smac.intensifier.hyperband.hyperband method)": [[59, "smac.intensifier.hyperband.Hyperband.set_state", false]], "set_state() (smac.intensifier.intensifier method)": [[57, "smac.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.intensifier.intensifier method)": [[61, "smac.intensifier.intensifier.Intensifier.set_state", false]], "set_state() (smac.intensifier.successive_halving.successivehalving method)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.set_state", false]], "set_state() (smac.intensifier.successivehalving method)": [[57, "smac.intensifier.SuccessiveHalving.set_state", false]], "setup_logging() (in module smac.utils.logging)": [[125, "smac.utils.logging.setup_logging", false]], "smac": [[7, "term-SMAC", true]], "smac.acquisition": [[23, "module-smac.acquisition", false]], "smac.acquisition.function": [[24, "module-smac.acquisition.function", false]], "smac.acquisition.function.abstract_acquisition_function": [[25, "module-smac.acquisition.function.abstract_acquisition_function", false]], "smac.acquisition.function.confidence_bound": [[26, "module-smac.acquisition.function.confidence_bound", false]], "smac.acquisition.function.expected_improvement": [[27, "module-smac.acquisition.function.expected_improvement", false]], "smac.acquisition.function.integrated_acquisition_function": [[28, "module-smac.acquisition.function.integrated_acquisition_function", false]], "smac.acquisition.function.prior_acqusition_function": [[29, "module-smac.acquisition.function.prior_acqusition_function", false]], "smac.acquisition.function.probability_improvement": [[30, "module-smac.acquisition.function.probability_improvement", false]], "smac.acquisition.function.thompson": [[31, "module-smac.acquisition.function.thompson", false]], "smac.acquisition.maximizer": [[32, "module-smac.acquisition.maximizer", false]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, "module-smac.acquisition.maximizer.abstract_acqusition_maximizer", false]], "smac.acquisition.maximizer.differential_evolution": [[34, "module-smac.acquisition.maximizer.differential_evolution", false]], "smac.acquisition.maximizer.helpers": [[35, "module-smac.acquisition.maximizer.helpers", false]], "smac.acquisition.maximizer.local_and_random_search": [[36, "module-smac.acquisition.maximizer.local_and_random_search", false]], "smac.acquisition.maximizer.local_search": [[37, "module-smac.acquisition.maximizer.local_search", false]], "smac.acquisition.maximizer.random_search": [[38, "module-smac.acquisition.maximizer.random_search", false]], "smac.callback": [[39, "module-smac.callback", false]], "smac.callback.callback": [[40, "module-smac.callback.callback", false]], "smac.callback.metadata_callback": [[41, "module-smac.callback.metadata_callback", false]], "smac.facade": [[42, "module-smac.facade", false]], "smac.facade.abstract_facade": [[43, "module-smac.facade.abstract_facade", false]], "smac.facade.algorithm_configuration_facade": [[44, "module-smac.facade.algorithm_configuration_facade", false]], "smac.facade.blackbox_facade": [[45, "module-smac.facade.blackbox_facade", false]], "smac.facade.hyperband_facade": [[46, "module-smac.facade.hyperband_facade", false]], "smac.facade.hyperparameter_optimization_facade": [[47, "module-smac.facade.hyperparameter_optimization_facade", false]], "smac.facade.multi_fidelity_facade": [[48, "module-smac.facade.multi_fidelity_facade", false]], "smac.facade.random_facade": [[49, "module-smac.facade.random_facade", false]], "smac.initial_design": [[50, "module-smac.initial_design", false]], "smac.initial_design.abstract_initial_design": [[51, "module-smac.initial_design.abstract_initial_design", false]], "smac.initial_design.default_design": [[52, "module-smac.initial_design.default_design", false]], "smac.initial_design.factorial_design": [[53, "module-smac.initial_design.factorial_design", false]], "smac.initial_design.latin_hypercube_design": [[54, "module-smac.initial_design.latin_hypercube_design", false]], "smac.initial_design.random_design": [[55, "module-smac.initial_design.random_design", false]], "smac.initial_design.sobol_design": [[56, "module-smac.initial_design.sobol_design", false]], "smac.intensifier": [[57, "module-smac.intensifier", false]], "smac.intensifier.abstract_intensifier": [[58, "module-smac.intensifier.abstract_intensifier", false]], "smac.intensifier.hyperband": [[59, "module-smac.intensifier.hyperband", false]], "smac.intensifier.hyperband_utils": [[60, "module-smac.intensifier.hyperband_utils", false]], "smac.intensifier.intensifier": [[61, "module-smac.intensifier.intensifier", false]], "smac.intensifier.successive_halving": [[62, "module-smac.intensifier.successive_halving", false]], "smac.main": [[63, "module-smac.main", false]], "smac.main.config_selector": [[64, "module-smac.main.config_selector", false]], "smac.main.smbo": [[65, "module-smac.main.smbo", false]], "smac.model": [[66, "module-smac.model", false]], "smac.model.abstract_model": [[67, "module-smac.model.abstract_model", false]], "smac.model.gaussian_process": [[68, "module-smac.model.gaussian_process", false]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, "module-smac.model.gaussian_process.abstract_gaussian_process", false]], "smac.model.gaussian_process.gaussian_process": [[70, "module-smac.model.gaussian_process.gaussian_process", false]], "smac.model.gaussian_process.gpytorch_gaussian_process": [[71, "module-smac.model.gaussian_process.gpytorch_gaussian_process", false]], "smac.model.gaussian_process.kernels": [[72, "module-smac.model.gaussian_process.kernels", false]], "smac.model.gaussian_process.kernels.base_kernels": [[73, "module-smac.model.gaussian_process.kernels.base_kernels", false]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, "module-smac.model.gaussian_process.kernels.hamming_kernel", false]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, "module-smac.model.gaussian_process.kernels.matern_kernel", false]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, "module-smac.model.gaussian_process.kernels.rbf_kernel", false]], "smac.model.gaussian_process.kernels.white_kernel": [[77, "module-smac.model.gaussian_process.kernels.white_kernel", false]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, "module-smac.model.gaussian_process.mcmc_gaussian_process", false]], "smac.model.gaussian_process.priors": [[79, "module-smac.model.gaussian_process.priors", false]], "smac.model.gaussian_process.priors.abstract_prior": [[80, "module-smac.model.gaussian_process.priors.abstract_prior", false]], "smac.model.gaussian_process.priors.gamma_prior": [[81, "module-smac.model.gaussian_process.priors.gamma_prior", false]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, "module-smac.model.gaussian_process.priors.horseshoe_prior", false]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, "module-smac.model.gaussian_process.priors.log_normal_prior", false]], "smac.model.gaussian_process.priors.tophat_prior": [[84, "module-smac.model.gaussian_process.priors.tophat_prior", false]], "smac.model.multi_objective_model": [[85, "module-smac.model.multi_objective_model", false]], "smac.model.random_forest": [[86, "module-smac.model.random_forest", false]], "smac.model.random_forest.abstract_random_forest": [[87, "module-smac.model.random_forest.abstract_random_forest", false]], "smac.model.random_forest.random_forest": [[88, "module-smac.model.random_forest.random_forest", false]], "smac.model.random_model": [[89, "module-smac.model.random_model", false]], "smac.multi_objective": [[90, "module-smac.multi_objective", false]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, "module-smac.multi_objective.abstract_multi_objective_algorithm", false]], "smac.multi_objective.aggregation_strategy": [[92, "module-smac.multi_objective.aggregation_strategy", false]], "smac.multi_objective.parego": [[93, "module-smac.multi_objective.parego", false]], "smac.random_design": [[94, "module-smac.random_design", false]], "smac.random_design.abstract_random_design": [[95, "module-smac.random_design.abstract_random_design", false]], "smac.random_design.annealing_design": [[96, "module-smac.random_design.annealing_design", false]], "smac.random_design.modulus_design": [[97, "module-smac.random_design.modulus_design", false]], "smac.random_design.probability_design": [[98, "module-smac.random_design.probability_design", false]], "smac.runhistory": [[99, "module-smac.runhistory", false]], "smac.runhistory.dataclasses": [[100, "module-smac.runhistory.dataclasses", false]], "smac.runhistory.encoder": [[101, "module-smac.runhistory.encoder", false]], "smac.runhistory.encoder.abstract_encoder": [[102, "module-smac.runhistory.encoder.abstract_encoder", false]], "smac.runhistory.encoder.boing_encoder": [[103, "module-smac.runhistory.encoder.boing_encoder", false]], "smac.runhistory.encoder.eips_encoder": [[104, "module-smac.runhistory.encoder.eips_encoder", false]], "smac.runhistory.encoder.encoder": [[105, "module-smac.runhistory.encoder.encoder", false]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, "module-smac.runhistory.encoder.inverse_scaled_encoder", false]], "smac.runhistory.encoder.log_encoder": [[107, "module-smac.runhistory.encoder.log_encoder", false]], "smac.runhistory.encoder.log_scaled_encoder": [[108, "module-smac.runhistory.encoder.log_scaled_encoder", false]], "smac.runhistory.encoder.scaled_encoder": [[109, "module-smac.runhistory.encoder.scaled_encoder", false]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, "module-smac.runhistory.encoder.sqrt_scaled_encoder", false]], "smac.runhistory.enumerations": [[111, "module-smac.runhistory.enumerations", false]], "smac.runhistory.errors": [[112, "module-smac.runhistory.errors", false]], "smac.runhistory.runhistory": [[113, "module-smac.runhistory.runhistory", false]], "smac.runner": [[114, "module-smac.runner", false]], "smac.runner.abstract_runner": [[115, "module-smac.runner.abstract_runner", false]], "smac.runner.abstract_serial_runner": [[116, "module-smac.runner.abstract_serial_runner", false]], "smac.runner.dask_runner": [[117, "module-smac.runner.dask_runner", false]], "smac.runner.exceptions": [[118, "module-smac.runner.exceptions", false]], "smac.runner.target_function_runner": [[119, "module-smac.runner.target_function_runner", false]], "smac.runner.target_function_script_runner": [[120, "module-smac.runner.target_function_script_runner", false]], "smac.scenario": [[121, "module-smac.scenario", false]], "smac.utils": [[122, "module-smac.utils", false]], "smac.utils.configspace": [[123, "module-smac.utils.configspace", false]], "smac.utils.data_structures": [[124, "module-smac.utils.data_structures", false]], "smac.utils.logging": [[125, "module-smac.utils.logging", false]], "smac.utils.multi_objective": [[126, "module-smac.utils.multi_objective", false]], "smac.utils.pareto_front": [[127, "module-smac.utils.pareto_front", false]], "smac.utils.subspaces": [[128, "module-smac.utils.subspaces", false]], "smac.utils.subspaces.boing_subspace": [[129, "module-smac.utils.subspaces.boing_subspace", false]], "smac.utils.subspaces.turbo_subspace": [[130, "module-smac.utils.subspaces.turbo_subspace", false]], "smbo": [[7, "term-SMBO", true]], "smbo (class in smac.main.smbo)": [[65, "smac.main.smbo.SMBO", false]], "sobolinitialdesign (class in smac.initial_design)": [[50, "smac.initial_design.SobolInitialDesign", false]], "sobolinitialdesign (class in smac.initial_design.sobol_design)": [[56, "smac.initial_design.sobol_design.SobolInitialDesign", false]], "softtophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.SoftTopHatPrior", false]], "softtophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior", false]], "sort_by_crowding_distance() (in module smac.utils.pareto_front)": [[127, "smac.utils.pareto_front.sort_by_crowding_distance", false]], "statustype (class in smac.runhistory)": [[99, "smac.runhistory.StatusType", false]], "statustype (class in smac.runhistory.enumerations)": [[111, "smac.runhistory.enumerations.StatusType", false]], "submit_trial() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.submit_trial", false]], "submit_trial() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.submit_trial", false]], "submit_trial() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.submit_trial", false]], "submit_trial() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.submit_trial", false]], "submitted (smac.runhistory.runhistory property)": [[99, "smac.runhistory.RunHistory.submitted", false]], "submitted (smac.runhistory.runhistory.runhistory property)": [[113, "smac.runhistory.runhistory.RunHistory.submitted", false]], "successivehalving (class in smac.intensifier)": [[57, "smac.intensifier.SuccessiveHalving", false]], "successivehalving (class in smac.intensifier.successive_halving)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving", false]], "sum_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.sum_cost", false]], "sum_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.sum_cost", false]], "sumkernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.SumKernel", false]], "sumkernel (class in smac.model.gaussian_process.kernels.base_kernels)": [[73, "smac.model.gaussian_process.kernels.base_kernels.SumKernel", false]], "target function": [[7, "term-Target-Function", true]], "targetalgorithmabortexception": [[114, "smac.runner.TargetAlgorithmAbortException", false], [118, "smac.runner.exceptions.TargetAlgorithmAbortException", false]], "targetfunctionrunner (class in smac.runner)": [[114, "smac.runner.TargetFunctionRunner", false]], "targetfunctionrunner (class in smac.runner.target_function_runner)": [[119, "smac.runner.target_function_runner.TargetFunctionRunner", false]], "targetfunctionscriptrunner (class in smac.runner.target_function_script_runner)": [[120, "smac.runner.target_function_script_runner.TargetFunctionScriptRunner", false]], "tell() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.tell", false]], "tell() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.tell", false]], "tell() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.tell", false]], "tophatprior (class in smac.model.gaussian_process.priors)": [[79, "smac.model.gaussian_process.priors.TophatPrior", false]], "tophatprior (class in smac.model.gaussian_process.priors.tophat_prior)": [[84, "smac.model.gaussian_process.priors.tophat_prior.TophatPrior", false]], "train() (smac.model.abstract_model.abstractmodel method)": [[67, "smac.model.abstract_model.AbstractModel.train", false]], "train() (smac.model.abstractmodel method)": [[66, "smac.model.AbstractModel.train", false]], "trajectory (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.trajectory", false]], "trajectory (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.trajectory", false]], "trajectoryitem (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrajectoryItem", false]], "transform() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform", false]], "transform() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform", false]], "transform_response_values() (smac.runhistory.encoder.abstract_encoder.abstractrunhistoryencoder method)": [[102, "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.abstractrunhistoryencoder method)": [[101, "smac.runhistory.encoder.AbstractRunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.eips_encoder.runhistoryeipsencoder method)": [[104, "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.encoder.runhistoryencoder method)": [[105, "smac.runhistory.encoder.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.inverse_scaled_encoder.runhistoryinversescaledencoder method)": [[106, "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_encoder.runhistorylogencoder method)": [[107, "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.log_scaled_encoder.runhistorylogscaledencoder method)": [[108, "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryeipsencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEIPSEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryencoder method)": [[101, "smac.runhistory.encoder.RunHistoryEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryinversescaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryInverseScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorylogscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryLogScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistoryscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.runhistorysqrtscaledencoder method)": [[101, "smac.runhistory.encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.scaled_encoder.runhistoryscaledencoder method)": [[109, "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder.transform_response_values", false]], "transform_response_values() (smac.runhistory.encoder.sqrt_scaled_encoder.runhistorysqrtscaledencoder method)": [[110, "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder.transform_response_values", false]], "trial": [[7, "term-Trial", true]], "trialinfo (class in smac.runhistory)": [[99, "smac.runhistory.TrialInfo", false]], "trialinfo (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialInfo", false]], "trialkey (class in smac.runhistory)": [[99, "smac.runhistory.TrialKey", false]], "trialkey (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialKey", false]], "trialvalue (class in smac.runhistory)": [[99, "smac.runhistory.TrialValue", false]], "trialvalue (class in smac.runhistory.dataclasses)": [[100, "smac.runhistory.dataclasses.TrialValue", false]], "ts (class in smac.acquisition.function)": [[24, "smac.acquisition.function.TS", false]], "ts (class in smac.acquisition.function.thompson)": [[31, "smac.acquisition.function.thompson.TS", false]], "update() (smac.acquisition.function.abstract_acquisition_function.abstractacquisitionfunction method)": [[25, "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction.update", false]], "update() (smac.acquisition.function.abstractacquisitionfunction method)": [[24, "smac.acquisition.function.AbstractAcquisitionFunction.update", false]], "update() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update", false]], "update() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update", false]], "update_acquisition_function() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_acquisition_function", false]], "update_cost() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_cost", false]], "update_cost() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_cost", false]], "update_costs() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_costs", false]], "update_costs() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_costs", false]], "update_from_json() (smac.runhistory.runhistory method)": [[99, "smac.runhistory.RunHistory.update_from_json", false]], "update_from_json() (smac.runhistory.runhistory.runhistory method)": [[113, "smac.runhistory.runhistory.RunHistory.update_from_json", false]], "update_incumbents() (smac.intensifier.abstract_intensifier.abstractintensifier method)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.update_incumbents", false]], "update_incumbents() (smac.intensifier.abstractintensifier method)": [[57, "smac.intensifier.AbstractIntensifier.update_incumbents", false]], "update_model() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.update_model", false]], "update_on_iteration_start() (smac.multi_objective.abstract_multi_objective_algorithm.abstractmultiobjectivealgorithm method)": [[91, "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.abstractmultiobjectivealgorithm method)": [[90, "smac.multi_objective.AbstractMultiObjectiveAlgorithm.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego method)": [[90, "smac.multi_objective.ParEGO.update_on_iteration_start", false]], "update_on_iteration_start() (smac.multi_objective.parego.parego method)": [[93, "smac.multi_objective.parego.ParEGO.update_on_iteration_start", false]], "used_target_function_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_target_function_walltime", false]], "used_walltime (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.used_walltime", false]], "used_walltime (smac.main.smbo.smbo property)": [[65, "smac.main.smbo.SMBO.used_walltime", false]], "uses_budgets (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_budgets", false]], "uses_budgets (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_budgets", false]], "uses_budgets (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_budgets", false]], "uses_instances (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_instances", false]], "uses_instances (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_instances", false]], "uses_instances (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_instances", false]], "uses_seeds (smac.intensifier.abstract_intensifier.abstractintensifier property)": [[58, "smac.intensifier.abstract_intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.abstractintensifier property)": [[57, "smac.intensifier.AbstractIntensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier property)": [[57, "smac.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.intensifier.intensifier property)": [[61, "smac.intensifier.intensifier.Intensifier.uses_seeds", false]], "uses_seeds (smac.intensifier.successive_halving.successivehalving property)": [[62, "smac.intensifier.successive_halving.SuccessiveHalving.uses_seeds", false]], "uses_seeds (smac.intensifier.successivehalving property)": [[57, "smac.intensifier.SuccessiveHalving.uses_seeds", false]], "validate() (smac.facade.abstract_facade.abstractfacade method)": [[43, "smac.facade.abstract_facade.AbstractFacade.validate", false]], "validate() (smac.facade.abstractfacade method)": [[42, "smac.facade.AbstractFacade.validate", false]], "validate() (smac.main.smbo.smbo method)": [[65, "smac.main.smbo.SMBO.validate", false]], "wait() (smac.runner.abstract_runner.abstractrunner method)": [[115, "smac.runner.abstract_runner.AbstractRunner.wait", false]], "wait() (smac.runner.abstract_serial_runner.abstractserialrunner method)": [[116, "smac.runner.abstract_serial_runner.AbstractSerialRunner.wait", false]], "wait() (smac.runner.abstractrunner method)": [[114, "smac.runner.AbstractRunner.wait", false]], "wait() (smac.runner.dask_runner.daskparallelrunner method)": [[117, "smac.runner.dask_runner.DaskParallelRunner.wait", false]], "wait() (smac.runner.daskparallelrunner method)": [[114, "smac.runner.DaskParallelRunner.wait", false]], "whitekernel (class in smac.model.gaussian_process.kernels)": [[72, "smac.model.gaussian_process.kernels.WhiteKernel", false]], "whitekernel (class in smac.model.gaussian_process.kernels.white_kernel)": [[77, "smac.model.gaussian_process.kernels.white_kernel.WhiteKernel", false]]}, "objects": {"smac": [[23, 0, 0, "-", "acquisition"], [39, 0, 0, "-", "callback"], [42, 0, 0, "-", "facade"], [50, 0, 0, "-", "initial_design"], [57, 0, 0, "-", "intensifier"], [63, 0, 0, "-", "main"], [66, 0, 0, "-", "model"], [90, 0, 0, "-", "multi_objective"], [94, 0, 0, "-", "random_design"], [99, 0, 0, "-", "runhistory"], [114, 0, 0, "-", "runner"], [121, 0, 0, "-", "scenario"], [122, 0, 0, "-", "utils"]], "smac.acquisition": [[24, 0, 0, "-", "function"], [32, 0, 0, "-", "maximizer"]], "smac.acquisition.function": [[24, 1, 1, "", "AbstractAcquisitionFunction"], [24, 1, 1, "", "EI"], [24, 1, 1, "", "EIPS"], [24, 1, 1, "", "IntegratedAcquisitionFunction"], [24, 1, 1, "", "LCB"], [24, 1, 1, "", "PI"], [24, 1, 1, "", "PriorAcquisitionFunction"], [24, 1, 1, "", "TS"], [25, 0, 0, "-", "abstract_acquisition_function"], [26, 0, 0, "-", "confidence_bound"], [27, 0, 0, "-", "expected_improvement"], [28, 0, 0, "-", "integrated_acquisition_function"], [29, 0, 0, "-", "prior_acqusition_function"], [30, 0, 0, "-", "probability_improvement"], [31, 0, 0, "-", "thompson"]], "smac.acquisition.function.AbstractAcquisitionFunction": [[24, 2, 1, "", "__call__"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"], [24, 2, 1, "", "update"]], "smac.acquisition.function.EI": [[24, 4, 1, "", "_eta"], [24, 4, 1, "", "_log"], [24, 4, 1, "", "_xi"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.EIPS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.IntegratedAcquisitionFunction": [[24, 4, 1, "", "_acquisition_function"], [24, 4, 1, "", "_eta"], [24, 4, 1, "", "_functions"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.LCB": [[24, 4, 1, "", "_beta"], [24, 4, 1, "", "_num_data"], [24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PI": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "name"]], "smac.acquisition.function.PriorAcquisitionFunction": [[24, 3, 1, "", "meta"], [24, 3, 1, "", "model"], [24, 3, 1, "", "name"]], "smac.acquisition.function.TS": [[24, 3, 1, "", "name"]], "smac.acquisition.function.abstract_acquisition_function": [[25, 1, 1, "", "AbstractAcquisitionFunction"]], "smac.acquisition.function.abstract_acquisition_function.AbstractAcquisitionFunction": [[25, 2, 1, "", "__call__"], [25, 3, 1, "", "meta"], [25, 3, 1, "", "model"], [25, 3, 1, "", "name"], [25, 2, 1, "", "update"]], "smac.acquisition.function.confidence_bound": [[26, 1, 1, "", "LCB"]], "smac.acquisition.function.confidence_bound.LCB": [[26, 4, 1, "", "_beta"], [26, 4, 1, "", "_num_data"], [26, 3, 1, "", "meta"], [26, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement": [[27, 1, 1, "", "EI"], [27, 1, 1, "", "EIPS"]], "smac.acquisition.function.expected_improvement.EI": [[27, 4, 1, "", "_eta"], [27, 4, 1, "", "_log"], [27, 4, 1, "", "_xi"], [27, 3, 1, "", "meta"], [27, 3, 1, "", "name"]], "smac.acquisition.function.expected_improvement.EIPS": [[27, 3, 1, "", "name"]], "smac.acquisition.function.integrated_acquisition_function": [[28, 1, 1, "", "IntegratedAcquisitionFunction"]], "smac.acquisition.function.integrated_acquisition_function.IntegratedAcquisitionFunction": [[28, 4, 1, "", "_acquisition_function"], [28, 4, 1, "", "_eta"], [28, 4, 1, "", "_functions"], [28, 3, 1, "", "meta"], [28, 3, 1, "", "name"]], "smac.acquisition.function.prior_acqusition_function": [[29, 1, 1, "", "PriorAcquisitionFunction"]], "smac.acquisition.function.prior_acqusition_function.PriorAcquisitionFunction": [[29, 3, 1, "", "meta"], [29, 3, 1, "", "model"], [29, 3, 1, "", "name"]], "smac.acquisition.function.probability_improvement": [[30, 1, 1, "", "PI"]], "smac.acquisition.function.probability_improvement.PI": [[30, 3, 1, "", "meta"], [30, 3, 1, "", "name"]], "smac.acquisition.function.thompson": [[31, 1, 1, "", "TS"]], "smac.acquisition.function.thompson.TS": [[31, 3, 1, "", "name"]], "smac.acquisition.maximizer": [[32, 1, 1, "", "AbstractAcquisitionMaximizer"], [32, 1, 1, "", "DifferentialEvolution"], [32, 1, 1, "", "LocalAndSortedRandomSearch"], [32, 1, 1, "", "LocalSearch"], [32, 1, 1, "", "RandomSearch"], [33, 0, 0, "-", "abstract_acqusition_maximizer"], [34, 0, 0, "-", "differential_evolution"], [35, 0, 0, "-", "helpers"], [36, 0, 0, "-", "local_and_random_search"], [37, 0, 0, "-", "local_search"], [38, 0, 0, "-", "random_search"]], "smac.acquisition.maximizer.AbstractAcquisitionMaximizer": [[32, 3, 1, "", "acquisition_function"], [32, 2, 1, "", "maximize"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalAndSortedRandomSearch": [[32, 3, 1, "", "acquisition_function"], [32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.LocalSearch": [[32, 3, 1, "", "meta"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer": [[33, 1, 1, "", "AbstractAcquisitionMaximizer"]], "smac.acquisition.maximizer.abstract_acqusition_maximizer.AbstractAcquisitionMaximizer": [[33, 3, 1, "", "acquisition_function"], [33, 2, 1, "", "maximize"], [33, 3, 1, "", "meta"]], "smac.acquisition.maximizer.differential_evolution": [[34, 1, 1, "", "DifferentialEvolution"]], "smac.acquisition.maximizer.helpers": [[35, 1, 1, "", "ChallengerList"]], "smac.acquisition.maximizer.local_and_random_search": [[36, 1, 1, "", "LocalAndSortedRandomSearch"]], "smac.acquisition.maximizer.local_and_random_search.LocalAndSortedRandomSearch": [[36, 3, 1, "", "acquisition_function"], [36, 3, 1, "", "meta"]], "smac.acquisition.maximizer.local_search": [[37, 1, 1, "", "LocalSearch"]], "smac.acquisition.maximizer.local_search.LocalSearch": [[37, 3, 1, "", "meta"]], "smac.acquisition.maximizer.random_search": [[38, 1, 1, "", "RandomSearch"]], "smac.callback": [[39, 1, 1, "", "Callback"], [39, 1, 1, "", "MetadataCallback"], [40, 0, 0, "-", "callback"], [41, 0, 0, "-", "metadata_callback"]], "smac.callback.Callback": [[39, 2, 1, "", "on_ask_end"], [39, 2, 1, "", "on_ask_start"], [39, 2, 1, "", "on_end"], [39, 2, 1, "", "on_iteration_end"], [39, 2, 1, "", "on_iteration_start"], [39, 2, 1, "", "on_next_configurations_end"], [39, 2, 1, "", "on_next_configurations_start"], [39, 2, 1, "", "on_start"], [39, 2, 1, "", "on_tell_end"], [39, 2, 1, "", "on_tell_start"]], "smac.callback.MetadataCallback": [[39, 2, 1, "", "on_start"]], "smac.callback.callback": [[40, 1, 1, "", "Callback"]], "smac.callback.callback.Callback": [[40, 2, 1, "", "on_ask_end"], [40, 2, 1, "", "on_ask_start"], [40, 2, 1, "", "on_end"], [40, 2, 1, "", "on_iteration_end"], [40, 2, 1, "", "on_iteration_start"], [40, 2, 1, "", "on_next_configurations_end"], [40, 2, 1, "", "on_next_configurations_start"], [40, 2, 1, "", "on_start"], [40, 2, 1, "", "on_tell_end"], [40, 2, 1, "", "on_tell_start"]], "smac.callback.metadata_callback": [[41, 1, 1, "", "MetadataCallback"]], "smac.callback.metadata_callback.MetadataCallback": [[41, 2, 1, "", "on_start"]], "smac.facade": [[42, 1, 1, "", "AbstractFacade"], [42, 1, 1, "", "AlgorithmConfigurationFacade"], [42, 1, 1, "", "BlackBoxFacade"], [42, 1, 1, "", "HyperbandFacade"], [42, 1, 1, "", "HyperparameterOptimizationFacade"], [42, 1, 1, "", "MultiFidelityFacade"], [42, 1, 1, "", "RandomFacade"], [43, 0, 0, "-", "abstract_facade"], [44, 0, 0, "-", "algorithm_configuration_facade"], [45, 0, 0, "-", "blackbox_facade"], [46, 0, 0, "-", "hyperband_facade"], [47, 0, 0, "-", "hyperparameter_optimization_facade"], [48, 0, 0, "-", "multi_fidelity_facade"], [49, 0, 0, "-", "random_facade"]], "smac.facade.AbstractFacade": [[42, 2, 1, "", "ask"], [42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"], [42, 3, 1, "", "intensifier"], [42, 3, 1, "", "meta"], [42, 2, 1, "", "optimize"], [42, 3, 1, "", "optimizer"], [42, 3, 1, "", "runhistory"], [42, 3, 1, "", "scenario"], [42, 2, 1, "", "tell"], [42, 2, 1, "", "validate"]], "smac.facade.AlgorithmConfigurationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.BlackBoxFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_config_selector"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_kernel"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.HyperbandFacade": [[42, 2, 1, "", "get_intensifier"]], "smac.facade.HyperparameterOptimizationFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.MultiFidelityFacade": [[42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"]], "smac.facade.RandomFacade": [[42, 2, 1, "", "get_acquisition_function"], [42, 2, 1, "", "get_acquisition_maximizer"], [42, 2, 1, "", "get_initial_design"], [42, 2, 1, "", "get_intensifier"], [42, 2, 1, "", "get_model"], [42, 2, 1, "", "get_multi_objective_algorithm"], [42, 2, 1, "", "get_random_design"], [42, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.abstract_facade": [[43, 1, 1, "", "AbstractFacade"]], "smac.facade.abstract_facade.AbstractFacade": [[43, 2, 1, "", "ask"], [43, 2, 1, "", "get_acquisition_function"], [43, 2, 1, "", "get_acquisition_maximizer"], [43, 2, 1, "", "get_config_selector"], [43, 2, 1, "", "get_initial_design"], [43, 2, 1, "", "get_intensifier"], [43, 2, 1, "", "get_model"], [43, 2, 1, "", "get_multi_objective_algorithm"], [43, 2, 1, "", "get_random_design"], [43, 2, 1, "", "get_runhistory_encoder"], [43, 3, 1, "", "intensifier"], [43, 3, 1, "", "meta"], [43, 2, 1, "", "optimize"], [43, 3, 1, "", "optimizer"], [43, 3, 1, "", "runhistory"], [43, 3, 1, "", "scenario"], [43, 2, 1, "", "tell"], [43, 2, 1, "", "validate"]], "smac.facade.algorithm_configuration_facade": [[44, 1, 1, "", "AlgorithmConfigurationFacade"]], "smac.facade.algorithm_configuration_facade.AlgorithmConfigurationFacade": [[44, 2, 1, "", "get_acquisition_function"], [44, 2, 1, "", "get_acquisition_maximizer"], [44, 2, 1, "", "get_initial_design"], [44, 2, 1, "", "get_intensifier"], [44, 2, 1, "", "get_model"], [44, 2, 1, "", "get_multi_objective_algorithm"], [44, 2, 1, "", "get_random_design"], [44, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.blackbox_facade": [[45, 1, 1, "", "BlackBoxFacade"]], "smac.facade.blackbox_facade.BlackBoxFacade": [[45, 2, 1, "", "get_acquisition_function"], [45, 2, 1, "", "get_acquisition_maximizer"], [45, 2, 1, "", "get_config_selector"], [45, 2, 1, "", "get_initial_design"], [45, 2, 1, "", "get_intensifier"], [45, 2, 1, "", "get_kernel"], [45, 2, 1, "", "get_model"], [45, 2, 1, "", "get_multi_objective_algorithm"], [45, 2, 1, "", "get_random_design"], [45, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.hyperband_facade": [[46, 1, 1, "", "HyperbandFacade"]], "smac.facade.hyperband_facade.HyperbandFacade": [[46, 2, 1, "", "get_intensifier"]], "smac.facade.hyperparameter_optimization_facade": [[47, 1, 1, "", "HyperparameterOptimizationFacade"]], "smac.facade.hyperparameter_optimization_facade.HyperparameterOptimizationFacade": [[47, 2, 1, "", "get_acquisition_function"], [47, 2, 1, "", "get_acquisition_maximizer"], [47, 2, 1, "", "get_initial_design"], [47, 2, 1, "", "get_intensifier"], [47, 2, 1, "", "get_model"], [47, 2, 1, "", "get_multi_objective_algorithm"], [47, 2, 1, "", "get_random_design"], [47, 2, 1, "", "get_runhistory_encoder"]], "smac.facade.multi_fidelity_facade": [[48, 1, 1, "", "MultiFidelityFacade"]], "smac.facade.multi_fidelity_facade.MultiFidelityFacade": [[48, 2, 1, "", "get_initial_design"], [48, 2, 1, "", "get_intensifier"]], "smac.facade.random_facade": [[49, 1, 1, "", "RandomFacade"]], "smac.facade.random_facade.RandomFacade": [[49, 2, 1, "", "get_acquisition_function"], [49, 2, 1, "", "get_acquisition_maximizer"], [49, 2, 1, "", "get_initial_design"], [49, 2, 1, "", "get_intensifier"], [49, 2, 1, "", "get_model"], [49, 2, 1, "", "get_multi_objective_algorithm"], [49, 2, 1, "", "get_random_design"], [49, 2, 1, "", "get_runhistory_encoder"]], "smac.initial_design": [[50, 1, 1, "", "AbstractInitialDesign"], [50, 1, 1, "", "DefaultInitialDesign"], [50, 1, 1, "", "FactorialInitialDesign"], [50, 1, 1, "", "LatinHypercubeInitialDesign"], [50, 1, 1, "", "RandomInitialDesign"], [50, 1, 1, "", "SobolInitialDesign"], [51, 0, 0, "-", "abstract_initial_design"], [52, 0, 0, "-", "default_design"], [53, 0, 0, "-", "factorial_design"], [54, 0, 0, "-", "latin_hypercube_design"], [55, 0, 0, "-", "random_design"], [56, 0, 0, "-", "sobol_design"]], "smac.initial_design.AbstractInitialDesign": [[50, 3, 1, "", "meta"], [50, 2, 1, "", "select_configurations"]], "smac.initial_design.abstract_initial_design": [[51, 1, 1, "", "AbstractInitialDesign"]], "smac.initial_design.abstract_initial_design.AbstractInitialDesign": [[51, 3, 1, "", "meta"], [51, 2, 1, "", "select_configurations"]], "smac.initial_design.default_design": [[52, 1, 1, "", "DefaultInitialDesign"]], "smac.initial_design.factorial_design": [[53, 1, 1, "", "FactorialInitialDesign"]], "smac.initial_design.latin_hypercube_design": [[54, 1, 1, "", "LatinHypercubeInitialDesign"]], "smac.initial_design.random_design": [[55, 1, 1, "", "RandomInitialDesign"]], "smac.initial_design.sobol_design": [[56, 1, 1, "", "SobolInitialDesign"]], "smac.intensifier": [[57, 1, 1, "", "AbstractIntensifier"], [57, 1, 1, "", "Hyperband"], [57, 1, 1, "", "Intensifier"], [57, 1, 1, "", "SuccessiveHalving"], [58, 0, 0, "-", "abstract_intensifier"], [59, 0, 0, "-", "hyperband"], [60, 0, 0, "-", "hyperband_utils"], [61, 0, 0, "-", "intensifier"], [62, 0, 0, "-", "successive_halving"]], "smac.intensifier.AbstractIntensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "__post_init__"], [57, 3, 1, "", "config_generator"], [57, 3, 1, "", "config_selector"], [57, 2, 1, "", "get_callback"], [57, 2, 1, "", "get_incumbent"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [57, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [57, 2, 1, "", "get_incumbents"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_instance_seed_keys_of_interest"], [57, 2, 1, "", "get_rejected_configs"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "incumbents_changed"], [57, 2, 1, "", "load"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "reset"], [57, 3, 1, "", "runhistory"], [57, 2, 1, "", "save"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "trajectory"], [57, 2, 1, "", "update_incumbents"], [57, 3, 1, "", "used_walltime"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.Hyperband": [[57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"]], "smac.intensifier.Intensifier": [[57, 2, 1, "", "__iter__"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.SuccessiveHalving": [[57, 2, 1, "", "__post_init__"], [57, 2, 1, "", "get_instance_seed_budget_keys"], [57, 2, 1, "", "get_state"], [57, 2, 1, "", "get_trials_of_interest"], [57, 3, 1, "", "meta"], [57, 2, 1, "", "print_tracker"], [57, 2, 1, "", "reset"], [57, 2, 1, "", "set_state"], [57, 3, 1, "", "uses_budgets"], [57, 3, 1, "", "uses_instances"], [57, 3, 1, "", "uses_seeds"]], "smac.intensifier.abstract_intensifier": [[58, 1, 1, "", "AbstractIntensifier"]], "smac.intensifier.abstract_intensifier.AbstractIntensifier": [[58, 2, 1, "", "__iter__"], [58, 2, 1, "", "__post_init__"], [58, 3, 1, "", "config_generator"], [58, 3, 1, "", "config_selector"], [58, 2, 1, "", "get_callback"], [58, 2, 1, "", "get_incumbent"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_key_differences"], [58, 2, 1, "", "get_incumbent_instance_seed_budget_keys"], [58, 2, 1, "", "get_incumbents"], [58, 2, 1, "", "get_instance_seed_budget_keys"], [58, 2, 1, "", "get_instance_seed_keys_of_interest"], [58, 2, 1, "", "get_rejected_configs"], [58, 2, 1, "", "get_state"], [58, 2, 1, "", "get_trials_of_interest"], [58, 3, 1, "", "incumbents_changed"], [58, 2, 1, "", "load"], [58, 3, 1, "", "meta"], [58, 2, 1, "", "reset"], [58, 3, 1, "", "runhistory"], [58, 2, 1, "", "save"], [58, 2, 1, "", "set_state"], [58, 3, 1, "", "trajectory"], [58, 2, 1, "", "update_incumbents"], [58, 3, 1, "", "used_walltime"], [58, 3, 1, "", "uses_budgets"], [58, 3, 1, "", "uses_instances"], [58, 3, 1, "", "uses_seeds"]], "smac.intensifier.hyperband": [[59, 1, 1, "", "Hyperband"]], "smac.intensifier.hyperband.Hyperband": [[59, 2, 1, "", "get_state"], [59, 2, 1, "", "reset"], [59, 2, 1, "", "set_state"]], "smac.intensifier.hyperband_utils": [[60, 5, 1, "", "determine_HB"], [60, 5, 1, "", "determine_hyperband_for_multifidelity"], [60, 5, 1, "", "get_n_trials_for_hyperband_multifidelity"], [60, 5, 1, "", "print_hyperband_summary"]], "smac.intensifier.intensifier": [[61, 1, 1, "", "Intensifier"]], "smac.intensifier.intensifier.Intensifier": [[61, 2, 1, "", "__iter__"], [61, 2, 1, "", "get_state"], [61, 2, 1, "", "reset"], [61, 2, 1, "", "set_state"], [61, 3, 1, "", "uses_budgets"], [61, 3, 1, "", "uses_instances"], [61, 3, 1, "", "uses_seeds"]], "smac.intensifier.successive_halving": [[62, 1, 1, "", "SuccessiveHalving"]], "smac.intensifier.successive_halving.SuccessiveHalving": [[62, 2, 1, "", "__post_init__"], [62, 2, 1, "", "get_instance_seed_budget_keys"], [62, 2, 1, "", "get_state"], [62, 2, 1, "", "get_trials_of_interest"], [62, 3, 1, "", "meta"], [62, 2, 1, "", "print_tracker"], [62, 2, 1, "", "reset"], [62, 2, 1, "", "set_state"], [62, 3, 1, "", "uses_budgets"], [62, 3, 1, "", "uses_instances"], [62, 3, 1, "", "uses_seeds"]], "smac.main": [[64, 0, 0, "-", "config_selector"], [65, 0, 0, "-", "smbo"]], "smac.main.config_selector": [[64, 1, 1, "", "ConfigSelector"]], "smac.main.config_selector.ConfigSelector": [[64, 2, 1, "", "__iter__"], [64, 3, 1, "", "meta"]], "smac.main.smbo": [[65, 1, 1, "", "SMBO"]], "smac.main.smbo.SMBO": [[65, 2, 1, "", "ask"], [65, 3, 1, "", "budget_exhausted"], [65, 2, 1, "", "exists"], [65, 3, 1, "", "intensifier"], [65, 2, 1, "", "load"], [65, 2, 1, "", "optimize"], [65, 2, 1, "", "print_stats"], [65, 2, 1, "", "register_callback"], [65, 3, 1, "", "remaining_cputime"], [65, 3, 1, "", "remaining_trials"], [65, 3, 1, "", "remaining_walltime"], [65, 2, 1, "", "reset"], [65, 3, 1, "", "runhistory"], [65, 2, 1, "", "save"], [65, 2, 1, "", "tell"], [65, 2, 1, "", "update_acquisition_function"], [65, 2, 1, "", "update_model"], [65, 3, 1, "", "used_target_function_walltime"], [65, 3, 1, "", "used_walltime"], [65, 2, 1, "", "validate"]], "smac.model": [[66, 1, 1, "", "AbstractModel"], [66, 1, 1, "", "MultiObjectiveModel"], [66, 1, 1, "", "RandomModel"], [67, 0, 0, "-", "abstract_model"], [68, 0, 0, "-", "gaussian_process"], [85, 0, 0, "-", "multi_objective_model"], [86, 0, 0, "-", "random_forest"], [89, 0, 0, "-", "random_model"]], "smac.model.AbstractModel": [[66, 3, 1, "", "meta"], [66, 2, 1, "", "predict"], [66, 2, 1, "", "predict_marginalized"], [66, 2, 1, "", "train"]], "smac.model.MultiObjectiveModel": [[66, 3, 1, "", "models"], [66, 2, 1, "", "predict_marginalized"]], "smac.model.abstract_model": [[67, 1, 1, "", "AbstractModel"]], "smac.model.abstract_model.AbstractModel": [[67, 3, 1, "", "meta"], [67, 2, 1, "", "predict"], [67, 2, 1, "", "predict_marginalized"], [67, 2, 1, "", "train"]], "smac.model.gaussian_process": [[68, 1, 1, "", "AbstractGaussianProcess"], [68, 1, 1, "", "GaussianProcess"], [68, 1, 1, "", "MCMCGaussianProcess"], [69, 0, 0, "-", "abstract_gaussian_process"], [70, 0, 0, "-", "gaussian_process"], [71, 0, 0, "-", "gpytorch_gaussian_process"], [72, 0, 0, "-", "kernels"], [78, 0, 0, "-", "mcmc_gaussian_process"], [79, 0, 0, "-", "priors"]], "smac.model.gaussian_process.AbstractGaussianProcess": [[68, 3, 1, "", "meta"]], "smac.model.gaussian_process.GaussianProcess": [[68, 3, 1, "", "meta"], [68, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.MCMCGaussianProcess": [[68, 3, 1, "", "meta"], [68, 3, 1, "", "models"]], "smac.model.gaussian_process.abstract_gaussian_process": [[69, 1, 1, "", "AbstractGaussianProcess"]], "smac.model.gaussian_process.abstract_gaussian_process.AbstractGaussianProcess": [[69, 3, 1, "", "meta"]], "smac.model.gaussian_process.gaussian_process": [[70, 1, 1, "", "GaussianProcess"]], "smac.model.gaussian_process.gaussian_process.GaussianProcess": [[70, 3, 1, "", "meta"], [70, 2, 1, "", "sample_functions"]], "smac.model.gaussian_process.kernels": [[72, 1, 1, "", "AbstractKernel"], [72, 1, 1, "", "ConstantKernel"], [72, 1, 1, "", "HammingKernel"], [72, 1, 1, "", "MaternKernel"], [72, 1, 1, "", "ProductKernel"], [72, 1, 1, "", "RBFKernel"], [72, 1, 1, "", "SumKernel"], [72, 1, 1, "", "WhiteKernel"], [73, 0, 0, "-", "base_kernels"], [74, 0, 0, "-", "hamming_kernel"], [75, 0, 0, "-", "matern_kernel"], [76, 0, 0, "-", "rbf_kernel"], [77, 0, 0, "-", "white_kernel"]], "smac.model.gaussian_process.kernels.AbstractKernel": [[72, 2, 1, "", "__call__"], [72, 2, 1, "", "get_params"], [72, 4, 1, "", "has_conditions"], [72, 3, 1, "", "hyperparameters"], [72, 3, 1, "", "meta"], [72, 3, 1, "", "n_dims"], [72, 4, 1, "", "operate_on"], [72, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.ConstantKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.HammingKernel": [[72, 3, 1, "", "hyperparameter_length_scale"], [72, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.ProductKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.SumKernel": [[72, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels": [[73, 1, 1, "", "AbstractKernel"], [73, 1, 1, "", "ConstantKernel"], [73, 1, 1, "", "ProductKernel"], [73, 1, 1, "", "SumKernel"]], "smac.model.gaussian_process.kernels.base_kernels.AbstractKernel": [[73, 2, 1, "", "__call__"], [73, 2, 1, "", "get_params"], [73, 4, 1, "", "has_conditions"], [73, 3, 1, "", "hyperparameters"], [73, 3, 1, "", "meta"], [73, 3, 1, "", "n_dims"], [73, 4, 1, "", "operate_on"], [73, 4, 1, "", "prior"]], "smac.model.gaussian_process.kernels.base_kernels.ConstantKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.ProductKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.base_kernels.SumKernel": [[73, 2, 1, "", "__call__"]], "smac.model.gaussian_process.kernels.hamming_kernel": [[74, 1, 1, "", "HammingKernel"]], "smac.model.gaussian_process.kernels.hamming_kernel.HammingKernel": [[74, 3, 1, "", "hyperparameter_length_scale"], [74, 3, 1, "", "meta"]], "smac.model.gaussian_process.kernels.matern_kernel": [[75, 1, 1, "", "MaternKernel"]], "smac.model.gaussian_process.kernels.rbf_kernel": [[76, 1, 1, "", "RBFKernel"]], "smac.model.gaussian_process.kernels.white_kernel": [[77, 1, 1, "", "WhiteKernel"]], "smac.model.gaussian_process.mcmc_gaussian_process": [[78, 1, 1, "", "MCMCGaussianProcess"]], "smac.model.gaussian_process.mcmc_gaussian_process.MCMCGaussianProcess": [[78, 3, 1, "", "meta"], [78, 3, 1, "", "models"]], "smac.model.gaussian_process.priors": [[79, 1, 1, "", "GammaPrior"], [79, 1, 1, "", "HorseshoePrior"], [79, 1, 1, "", "LogNormalPrior"], [79, 1, 1, "", "SoftTopHatPrior"], [79, 1, 1, "", "TophatPrior"], [80, 0, 0, "-", "abstract_prior"], [81, 0, 0, "-", "gamma_prior"], [82, 0, 0, "-", "horseshoe_prior"], [83, 0, 0, "-", "log_normal_prior"], [84, 0, 0, "-", "tophat_prior"]], "smac.model.gaussian_process.priors.GammaPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.HorseshoePrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.LogNormalPrior": [[79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.SoftTopHatPrior": [[79, 2, 1, "", "get_gradient"], [79, 2, 1, "", "get_log_probability"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.TophatPrior": [[79, 2, 1, "", "get_gradient"], [79, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.abstract_prior": [[80, 1, 1, "", "AbstractPrior"]], "smac.model.gaussian_process.priors.abstract_prior.AbstractPrior": [[80, 2, 1, "", "get_gradient"], [80, 2, 1, "", "get_log_probability"], [80, 3, 1, "", "meta"], [80, 2, 1, "", "sample_from_prior"]], "smac.model.gaussian_process.priors.gamma_prior": [[81, 1, 1, "", "GammaPrior"]], "smac.model.gaussian_process.priors.gamma_prior.GammaPrior": [[81, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.horseshoe_prior": [[82, 1, 1, "", "HorseshoePrior"]], "smac.model.gaussian_process.priors.horseshoe_prior.HorseshoePrior": [[82, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.log_normal_prior": [[83, 1, 1, "", "LogNormalPrior"]], "smac.model.gaussian_process.priors.log_normal_prior.LogNormalPrior": [[83, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior": [[84, 1, 1, "", "SoftTopHatPrior"], [84, 1, 1, "", "TophatPrior"]], "smac.model.gaussian_process.priors.tophat_prior.SoftTopHatPrior": [[84, 2, 1, "", "get_gradient"], [84, 2, 1, "", "get_log_probability"], [84, 3, 1, "", "meta"]], "smac.model.gaussian_process.priors.tophat_prior.TophatPrior": [[84, 2, 1, "", "get_gradient"], [84, 3, 1, "", "meta"]], "smac.model.multi_objective_model": [[85, 1, 1, "", "MultiObjectiveModel"]], "smac.model.multi_objective_model.MultiObjectiveModel": [[85, 3, 1, "", "models"], [85, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest": [[86, 1, 1, "", "AbstractRandomForest"], [86, 1, 1, "", "RandomForest"], [87, 0, 0, "-", "abstract_random_forest"], [88, 0, 0, "-", "random_forest"]], "smac.model.random_forest.RandomForest": [[86, 3, 1, "", "meta"], [86, 2, 1, "", "predict_marginalized"]], "smac.model.random_forest.abstract_random_forest": [[87, 1, 1, "", "AbstractRandomForest"]], "smac.model.random_forest.random_forest": [[88, 1, 1, "", "RandomForest"]], "smac.model.random_forest.random_forest.RandomForest": [[88, 3, 1, "", "meta"], [88, 2, 1, "", "predict_marginalized"]], "smac.model.random_model": [[89, 1, 1, "", "RandomModel"]], "smac.multi_objective": [[90, 1, 1, "", "AbstractMultiObjectiveAlgorithm"], [90, 1, 1, "", "MeanAggregationStrategy"], [90, 1, 1, "", "ParEGO"], [91, 0, 0, "-", "abstract_multi_objective_algorithm"], [92, 0, 0, "-", "aggregation_strategy"], [93, 0, 0, "-", "parego"]], "smac.multi_objective.AbstractMultiObjectiveAlgorithm": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.MeanAggregationStrategy": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"]], "smac.multi_objective.ParEGO": [[90, 2, 1, "", "__call__"], [90, 3, 1, "", "meta"], [90, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.abstract_multi_objective_algorithm": [[91, 1, 1, "", "AbstractMultiObjectiveAlgorithm"]], "smac.multi_objective.abstract_multi_objective_algorithm.AbstractMultiObjectiveAlgorithm": [[91, 2, 1, "", "__call__"], [91, 3, 1, "", "meta"], [91, 2, 1, "", "update_on_iteration_start"]], "smac.multi_objective.aggregation_strategy": [[92, 1, 1, "", "MeanAggregationStrategy"]], "smac.multi_objective.aggregation_strategy.MeanAggregationStrategy": [[92, 2, 1, "", "__call__"], [92, 3, 1, "", "meta"]], "smac.multi_objective.parego": [[93, 1, 1, "", "ParEGO"]], "smac.multi_objective.parego.ParEGO": [[93, 2, 1, "", "__call__"], [93, 3, 1, "", "meta"], [93, 2, 1, "", "update_on_iteration_start"]], "smac.random_design": [[94, 1, 1, "", "AbstractRandomDesign"], [94, 1, 1, "", "CosineAnnealingRandomDesign"], [94, 1, 1, "", "DynamicModulusRandomDesign"], [94, 1, 1, "", "DynamicProbabilityRandomDesign"], [94, 1, 1, "", "ModulusRandomDesign"], [94, 1, 1, "", "ProbabilityRandomDesign"], [95, 0, 0, "-", "abstract_random_design"], [96, 0, 0, "-", "annealing_design"], [97, 0, 0, "-", "modulus_design"], [98, 0, 0, "-", "probability_design"]], "smac.random_design.AbstractRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.CosineAnnealingRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.DynamicProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"], [94, 2, 1, "", "next_iteration"]], "smac.random_design.ModulusRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.ProbabilityRandomDesign": [[94, 2, 1, "", "check"], [94, 3, 1, "", "meta"]], "smac.random_design.abstract_random_design": [[95, 1, 1, "", "AbstractRandomDesign"]], "smac.random_design.abstract_random_design.AbstractRandomDesign": [[95, 2, 1, "", "check"], [95, 3, 1, "", "meta"], [95, 2, 1, "", "next_iteration"]], "smac.random_design.annealing_design": [[96, 1, 1, "", "CosineAnnealingRandomDesign"]], "smac.random_design.annealing_design.CosineAnnealingRandomDesign": [[96, 2, 1, "", "check"], [96, 3, 1, "", "meta"], [96, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design": [[97, 1, 1, "", "DynamicModulusRandomDesign"], [97, 1, 1, "", "ModulusRandomDesign"]], "smac.random_design.modulus_design.DynamicModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"], [97, 2, 1, "", "next_iteration"]], "smac.random_design.modulus_design.ModulusRandomDesign": [[97, 2, 1, "", "check"], [97, 3, 1, "", "meta"]], "smac.random_design.probability_design": [[98, 1, 1, "", "DynamicProbabilityRandomDesign"], [98, 1, 1, "", "ProbabilityRandomDesign"]], "smac.random_design.probability_design.DynamicProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"], [98, 2, 1, "", "next_iteration"]], "smac.random_design.probability_design.ProbabilityRandomDesign": [[98, 2, 1, "", "check"], [98, 3, 1, "", "meta"]], "smac.runhistory": [[99, 1, 1, "", "InstanceSeedBudgetKey"], [99, 1, 1, "", "InstanceSeedKey"], [99, 1, 1, "", "RunHistory"], [99, 1, 1, "", "StatusType"], [99, 1, 1, "", "TrialInfo"], [99, 1, 1, "", "TrialKey"], [99, 1, 1, "", "TrialValue"], [100, 0, 0, "-", "dataclasses"], [101, 0, 0, "-", "encoder"], [111, 0, 0, "-", "enumerations"], [112, 0, 0, "-", "errors"], [113, 0, 0, "-", "runhistory"]], "smac.runhistory.InstanceSeedBudgetKey": [[99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.RunHistory": [[99, 2, 1, "", "__contains__"], [99, 2, 1, "", "__eq__"], [99, 2, 1, "", "__getitem__"], [99, 2, 1, "", "__iter__"], [99, 2, 1, "", "__len__"], [99, 2, 1, "", "add"], [99, 2, 1, "", "add_running_trial"], [99, 2, 1, "", "add_trial"], [99, 2, 1, "", "average_cost"], [99, 3, 1, "", "config_ids"], [99, 2, 1, "", "empty"], [99, 3, 1, "", "finished"], [99, 2, 1, "", "get_config"], [99, 2, 1, "", "get_config_id"], [99, 2, 1, "", "get_configs"], [99, 2, 1, "", "get_configs_per_budget"], [99, 2, 1, "", "get_cost"], [99, 2, 1, "", "get_instance_seed_budget_keys"], [99, 2, 1, "", "get_min_cost"], [99, 2, 1, "", "get_running_configs"], [99, 2, 1, "", "get_running_trials"], [99, 2, 1, "", "get_trials"], [99, 2, 1, "", "has_config"], [99, 3, 1, "", "ids_config"], [99, 2, 1, "", "incremental_update_cost"], [99, 2, 1, "", "load"], [99, 2, 1, "", "min_cost"], [99, 3, 1, "", "multi_objective_algorithm"], [99, 3, 1, "", "objective_bounds"], [99, 2, 1, "", "reset"], [99, 3, 1, "", "running"], [99, 2, 1, "", "save"], [99, 3, 1, "", "submitted"], [99, 2, 1, "", "sum_cost"], [99, 2, 1, "", "update"], [99, 2, 1, "", "update_cost"], [99, 2, 1, "", "update_costs"], [99, 2, 1, "", "update_from_json"]], "smac.runhistory.TrialInfo": [[99, 2, 1, "", "get_instance_seed_budget_key"], [99, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses": [[100, 1, 1, "", "InstanceSeedBudgetKey"], [100, 1, 1, "", "InstanceSeedKey"], [100, 1, 1, "", "TrajectoryItem"], [100, 1, 1, "", "TrialInfo"], [100, 1, 1, "", "TrialKey"], [100, 1, 1, "", "TrialValue"]], "smac.runhistory.dataclasses.InstanceSeedBudgetKey": [[100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.dataclasses.TrialInfo": [[100, 2, 1, "", "get_instance_seed_budget_key"], [100, 2, 1, "", "get_instance_seed_key"]], "smac.runhistory.encoder": [[101, 1, 1, "", "AbstractRunHistoryEncoder"], [101, 1, 1, "", "RunHistoryEIPSEncoder"], [101, 1, 1, "", "RunHistoryEncoder"], [101, 1, 1, "", "RunHistoryInverseScaledEncoder"], [101, 1, 1, "", "RunHistoryLogEncoder"], [101, 1, 1, "", "RunHistoryLogScaledEncoder"], [101, 1, 1, "", "RunHistoryScaledEncoder"], [101, 1, 1, "", "RunHistorySqrtScaledEncoder"], [102, 0, 0, "-", "abstract_encoder"], [103, 0, 0, "-", "boing_encoder"], [104, 0, 0, "-", "eips_encoder"], [105, 0, 0, "-", "encoder"], [106, 0, 0, "-", "inverse_scaled_encoder"], [107, 0, 0, "-", "log_encoder"], [108, 0, 0, "-", "log_scaled_encoder"], [109, 0, 0, "-", "scaled_encoder"], [110, 0, 0, "-", "sqrt_scaled_encoder"]], "smac.runhistory.encoder.AbstractRunHistoryEncoder": [[101, 2, 1, "", "get_configurations"], [101, 3, 1, "", "meta"], [101, 3, 1, "", "multi_objective_algorithm"], [101, 3, 1, "", "runhistory"], [101, 2, 1, "", "transform"], [101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEIPSEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryInverseScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryLogScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistoryScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.RunHistorySqrtScaledEncoder": [[101, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.abstract_encoder": [[102, 1, 1, "", "AbstractRunHistoryEncoder"]], "smac.runhistory.encoder.abstract_encoder.AbstractRunHistoryEncoder": [[102, 2, 1, "", "get_configurations"], [102, 3, 1, "", "meta"], [102, 3, 1, "", "multi_objective_algorithm"], [102, 3, 1, "", "runhistory"], [102, 2, 1, "", "transform"], [102, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.eips_encoder": [[104, 1, 1, "", "RunHistoryEIPSEncoder"]], "smac.runhistory.encoder.eips_encoder.RunHistoryEIPSEncoder": [[104, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.encoder": [[105, 1, 1, "", "RunHistoryEncoder"]], "smac.runhistory.encoder.encoder.RunHistoryEncoder": [[105, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.inverse_scaled_encoder": [[106, 1, 1, "", "RunHistoryInverseScaledEncoder"]], "smac.runhistory.encoder.inverse_scaled_encoder.RunHistoryInverseScaledEncoder": [[106, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_encoder": [[107, 1, 1, "", "RunHistoryLogEncoder"]], "smac.runhistory.encoder.log_encoder.RunHistoryLogEncoder": [[107, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.log_scaled_encoder": [[108, 1, 1, "", "RunHistoryLogScaledEncoder"]], "smac.runhistory.encoder.log_scaled_encoder.RunHistoryLogScaledEncoder": [[108, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.scaled_encoder": [[109, 1, 1, "", "RunHistoryScaledEncoder"]], "smac.runhistory.encoder.scaled_encoder.RunHistoryScaledEncoder": [[109, 2, 1, "", "transform_response_values"]], "smac.runhistory.encoder.sqrt_scaled_encoder": [[110, 1, 1, "", "RunHistorySqrtScaledEncoder"]], "smac.runhistory.encoder.sqrt_scaled_encoder.RunHistorySqrtScaledEncoder": [[110, 2, 1, "", "transform_response_values"]], "smac.runhistory.enumerations": [[111, 1, 1, "", "StatusType"]], "smac.runhistory.errors": [[112, 6, 1, "", "NotEvaluatedError"]], "smac.runhistory.runhistory": [[113, 1, 1, "", "RunHistory"]], "smac.runhistory.runhistory.RunHistory": [[113, 2, 1, "", "__contains__"], [113, 2, 1, "", "__eq__"], [113, 2, 1, "", "__getitem__"], [113, 2, 1, "", "__iter__"], [113, 2, 1, "", "__len__"], [113, 2, 1, "", "add"], [113, 2, 1, "", "add_running_trial"], [113, 2, 1, "", "add_trial"], [113, 2, 1, "", "average_cost"], [113, 3, 1, "", "config_ids"], [113, 2, 1, "", "empty"], [113, 3, 1, "", "finished"], [113, 2, 1, "", "get_config"], [113, 2, 1, "", "get_config_id"], [113, 2, 1, "", "get_configs"], [113, 2, 1, "", "get_configs_per_budget"], [113, 2, 1, "", "get_cost"], [113, 2, 1, "", "get_instance_seed_budget_keys"], [113, 2, 1, "", "get_min_cost"], [113, 2, 1, "", "get_running_configs"], [113, 2, 1, "", "get_running_trials"], [113, 2, 1, "", "get_trials"], [113, 2, 1, "", "has_config"], [113, 3, 1, "", "ids_config"], [113, 2, 1, "", "incremental_update_cost"], [113, 2, 1, "", "load"], [113, 2, 1, "", "min_cost"], [113, 3, 1, "", "multi_objective_algorithm"], [113, 3, 1, "", "objective_bounds"], [113, 2, 1, "", "reset"], [113, 3, 1, "", "running"], [113, 2, 1, "", "save"], [113, 3, 1, "", "submitted"], [113, 2, 1, "", "sum_cost"], [113, 2, 1, "", "update"], [113, 2, 1, "", "update_cost"], [113, 2, 1, "", "update_costs"], [113, 2, 1, "", "update_from_json"]], "smac.runner": [[114, 1, 1, "", "AbstractRunner"], [114, 1, 1, "", "DaskParallelRunner"], [114, 6, 1, "", "FirstRunCrashedException"], [114, 6, 1, "", "TargetAlgorithmAbortException"], [114, 1, 1, "", "TargetFunctionRunner"], [115, 0, 0, "-", "abstract_runner"], [116, 0, 0, "-", "abstract_serial_runner"], [117, 0, 0, "-", "dask_runner"], [118, 0, 0, "-", "exceptions"], [119, 0, 0, "-", "target_function_runner"], [120, 0, 0, "-", "target_function_script_runner"]], "smac.runner.AbstractRunner": [[114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"], [114, 2, 1, "", "run_wrapper"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.DaskParallelRunner": [[114, 2, 1, "", "__del__"], [114, 2, 1, "", "close"], [114, 2, 1, "", "count_available_workers"], [114, 2, 1, "", "is_running"], [114, 2, 1, "", "iter_results"], [114, 2, 1, "", "run"], [114, 2, 1, "", "submit_trial"], [114, 2, 1, "", "wait"]], "smac.runner.TargetFunctionRunner": [[114, 2, 1, "", "__call__"], [114, 3, 1, "", "meta"], [114, 2, 1, "", "run"]], "smac.runner.abstract_runner": [[115, 1, 1, "", "AbstractRunner"]], "smac.runner.abstract_runner.AbstractRunner": [[115, 2, 1, "", "count_available_workers"], [115, 2, 1, "", "is_running"], [115, 2, 1, "", "iter_results"], [115, 3, 1, "", "meta"], [115, 2, 1, "", "run"], [115, 2, 1, "", "run_wrapper"], [115, 2, 1, "", "submit_trial"], [115, 2, 1, "", "wait"]], "smac.runner.abstract_serial_runner": [[116, 1, 1, "", "AbstractSerialRunner"]], "smac.runner.abstract_serial_runner.AbstractSerialRunner": [[116, 2, 1, "", "count_available_workers"], [116, 2, 1, "", "is_running"], [116, 2, 1, "", "iter_results"], [116, 2, 1, "", "submit_trial"], [116, 2, 1, "", "wait"]], "smac.runner.dask_runner": [[117, 1, 1, "", "DaskParallelRunner"]], "smac.runner.dask_runner.DaskParallelRunner": [[117, 2, 1, "", "__del__"], [117, 2, 1, "", "close"], [117, 2, 1, "", "count_available_workers"], [117, 2, 1, "", "is_running"], [117, 2, 1, "", "iter_results"], [117, 2, 1, "", "run"], [117, 2, 1, "", "submit_trial"], [117, 2, 1, "", "wait"]], "smac.runner.exceptions": [[118, 6, 1, "", "FirstRunCrashedException"], [118, 6, 1, "", "TargetAlgorithmAbortException"]], "smac.runner.target_function_runner": [[119, 1, 1, "", "TargetFunctionRunner"]], "smac.runner.target_function_runner.TargetFunctionRunner": [[119, 2, 1, "", "__call__"], [119, 3, 1, "", "meta"], [119, 2, 1, "", "run"]], "smac.runner.target_function_script_runner": [[120, 1, 1, "", "TargetFunctionScriptRunner"]], "smac.runner.target_function_script_runner.TargetFunctionScriptRunner": [[120, 2, 1, "", "__call__"], [120, 3, 1, "", "meta"], [120, 2, 1, "", "run"]], "smac.scenario": [[121, 1, 1, "", "Scenario"]], "smac.scenario.Scenario": [[121, 2, 1, "", "__post_init__"], [121, 2, 1, "", "count_instance_features"], [121, 2, 1, "", "count_objectives"], [121, 2, 1, "", "load"], [121, 2, 1, "", "make_serializable"], [121, 3, 1, "", "meta"], [121, 2, 1, "", "save"]], "smac.utils": [[123, 0, 0, "-", "configspace"], [124, 0, 0, "-", "data_structures"], [125, 0, 0, "-", "logging"], [126, 0, 0, "-", "multi_objective"], [127, 0, 0, "-", "pareto_front"], [128, 0, 0, "-", "subspaces"]], "smac.utils.configspace": [[123, 5, 1, "", "convert_configurations_to_array"], [123, 5, 1, "", "get_conditional_hyperparameters"], [123, 5, 1, "", "get_config_hash"], [123, 5, 1, "", "get_types"], [123, 5, 1, "", "print_config_changes"]], "smac.utils.data_structures": [[124, 5, 1, "", "batch"], [124, 5, 1, "", "recursively_compare_dicts"]], "smac.utils.logging": [[125, 5, 1, "", "get_logger"], [125, 5, 1, "", "setup_logging"]], "smac.utils.multi_objective": [[126, 5, 1, "", "normalize_costs"]], "smac.utils.pareto_front": [[127, 5, 1, "", "calculate_pareto_front"], [127, 5, 1, "", "sort_by_crowding_distance"]], "smac.utils.subspaces": [[129, 0, 0, "-", "boing_subspace"], [130, 0, 0, "-", "turbo_subspace"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "method", "Python method"], "3": ["py", "property", "Python property"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "function", "Python function"], "6": ["py", "exception", "Python exception"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:method", "3": "py:property", "4": "py:attribute", "5": "py:function", "6": "py:exception"}, "terms": {"": [2, 3, 6, 7, 8, 10, 13, 14, 20, 32, 36, 37, 42, 43, 65, 68, 70, 78, 80, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "0": [2, 3, 4, 8, 13, 15, 16, 17, 18, 19, 20, 24, 26, 27, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44, 45, 47, 48, 50, 51, 52, 53, 54, 55, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 113, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "00": [138, 143, 144, 147, 150, 152, 155], "000": 152, "00001": 140, "0001": [132, 139, 145], "001": [132, 139, 145], "001512079916069889": 135, "006249006102246613": 140, "01": [18, 120, 138, 155], "01538581": 144, "01725007737542561": 139, "017254719900959392": 139, "0180713": 144, "02": [143, 155], "022fca": 144, "03": [0, 138, 143, 155], "03115986": 145, "03135360777378082": 134, "03450325": 145, "03506499535747454": 136, "03561281": 145, "03706781": 144, "038952336737852145": 136, "04": [0, 138, 144, 155], "04070615768432617": 145, "05": [72, 73, 74, 75, 76, 77, 90, 93, 155], "06808114051818848": 140, "08": [86, 88, 143, 147, 155], "08447232371720552": [42, 45], "0888": 154, "08dfd2": 141, "09": [131, 141], "0912": 6, "0919630453331843e": 141, "09616130553975616": 135, "0c9159": 145, "1": [0, 3, 4, 12, 13, 14, 19, 20, 24, 25, 26, 27, 30, 32, 34, 42, 45, 46, 47, 48, 57, 59, 61, 62, 64, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 79, 81, 85, 86, 88, 90, 91, 92, 93, 101, 104, 121, 123, 124, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 150, 154], "10": [1, 3, 7, 20, 24, 29, 32, 36, 37, 42, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 68, 70, 86, 88, 131, 132, 133, 134, 135, 136, 139, 141, 144, 145, 154], "100": [2, 4, 7, 121, 131, 133, 134, 139, 140, 141, 144], "1000": [4, 42, 45, 131, 132, 148], "10000": [42, 47, 131, 141], "100000": [72, 73, 74, 75, 76, 77], "10116174": 144, "102": 16, "1048576": [42, 47, 86, 88], "107": 136, "10bb50": [131, 135], "11": [32, 34, 144], "1102": 134, "11051": 6, "11d305": 144, "12": [24, 29, 140, 141, 155], "120": 3, "121": 16, "12157768": 145, "1276c6": 144, "128": 136, "13155096": 144, "132": 16, "134": 132, "137256": 144, "1377ef": 144, "14": [132, 139], "140": [16, 132], "14180c": 145, "143b21": 144, "145": [134, 138, 155], "147": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "148": 132, "15": 140, "150": [139, 140, 141, 144], "151": 132, "15489347419148672": 140, "156": 145, "15606725": 144, "15dfc6": [131, 135], "16": [6, 42, 43, 45, 57, 61, 64, 136], "16190255": 145, "164": [139, 140, 141], "166": 141, "16916": 133, "16c6ab": 139, "18": [0, 141], "182": 139, "184825": 144, "186": 132, "19": [148, 150, 155], "190413": 144, "1997": [32, 34], "1_basic": [132, 134, 138, 155], "1_call_target_function_script": [148, 150, 155], "1_mlp_epoch": [139, 143, 155], "1_quadratic_funct": [131, 138, 155], "1_schaffer": [144, 147, 155], "1add8f": 131, "1c22be": 144, "1cfe87": 133, "1d30ce": 139, "1df92e": 144, "1e": [24, 29, 72, 73, 74, 75, 76, 77, 86, 88, 136], "1eac88": 144, "1ee992": 144, "1f3477": 144, "2": [0, 3, 7, 13, 24, 26, 32, 34, 35, 37, 42, 47, 57, 61, 86, 88, 94, 97, 131, 132, 133, 134, 136, 139, 140, 141, 144, 145, 147], "20": [0, 3, 20, 42, 44, 45, 47, 68, 78, 86, 88, 133, 134], "200": [4, 15, 134, 139, 140, 141, 145], "2000": [42, 44], "2015": [90, 93], "2017": [68, 70, 78, 80], "2021": [8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "2022": 154, "2023": 0, "203": 139, "209652396": 135, "20abef1ade71915352217400c11ece4c2f35163": 127, "21": [136, 138, 154, 155], "210": [141, 143, 155], "21179260686039925": 134, "21992087": 145, "2204": 6, "222": 132, "224": 135, "23": 154, "249": 141, "25": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 131, 135, 139, 148], "250": 140, "256": [136, 139, 145], "25858188": 145, "259": 132, "262": [131, 138, 155], "2629": 141, "26694769": 144, "27": [140, 141], "27278602": 145, "279": 143, "27e052": 133, "283": 138, "287": 135, "28970257": 144, "28c9f9": 144, "2942cc": 144, "298": 139, "2_multi_fidel": [143, 155], "2_parego": [145, 147, 155], "2_sgd_dataset": [140, 143, 155], "2_svm_cv": [132, 138, 155], "2a16b": 145, "2b67dd": 139, "2be60": 144, "2cb75c": 144, "2d": [146, 147, 151, 155], "2d8007": 131, "2da694": [131, 135], "2dc22a": 144, "2e6e80": 144, "3": [0, 1, 7, 9, 13, 15, 42, 44, 45, 46, 47, 48, 49, 57, 59, 60, 61, 62, 86, 88, 94, 97, 131, 132, 133, 134, 135, 136, 139, 140, 141, 143, 144, 145, 148, 154], "30": [20, 134, 139, 140, 145, 148], "300": [139, 140, 145], "3000": 144, "3012995719909668": 139, "305": [131, 135, 141, 144, 148], "30847043171525": 134, "31127119064331055": 139, "319": [131, 132, 133, 135, 139, 140, 141, 144], "323": [139, 140, 141], "325": [139, 140, 141], "327": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "328b60": 141, "329": [131, 132, 133, 135, 136, 139, 140, 141, 143, 144, 145, 148, 155], "33": 138, "330": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "3301b5": 141, "3301f2": 144, "332": 135, "333333333333332": 139, "33571785": 144, "34": [140, 143, 155], "341": [32, 34], "35": [145, 147, 155], "350": 140, "353acf": 144, "359": [32, 34], "3623cc": 145, "36672856700711853": 139, "36aac3": 144, "377": 139, "377565": 145, "381e14": 144, "38310a": 133, "39731087": 144, "3995": 6, "39d7fb": 144, "3_ask_and_tel": [133, 138, 155], "3_multi_object": [147, 155], "3_specify_hb_via_total_budget": [141, 143, 155], "3a": 6, "3b05b0": 145, "3b5efd": 145, "3df2e2": 144, "3e3235": 144, "3f4152": 144, "4": [1, 2, 13, 18, 42, 44, 57, 62, 120, 131, 133, 134, 136, 139, 140, 141, 144, 145], "40": [20, 134, 136, 140], "400": 140, "401148": 144, "4097ee": 144, "40ecfc": 144, "41": 143, "41439": 139, "426c34": 144, "427430": 144, "4380b1": [131, 135], "44": 147, "4431ec": 144, "44c9c5": 144, "45": [16, 140], "450": 140, "4522": [24, 28], "4529": 140, "45fd01": 144, "4655": 132, "465623793958126": 134, "4687bd": 144, "47e5f6": 144, "48": 16, "4891db": 144, "497": 135, "4_callback": [134, 138, 155], "4a175d": 131, "4ba1ca": 132, "4ba6ad": 144, "4e3320": 133, "5": [3, 4, 13, 18, 32, 36, 42, 44, 47, 72, 75, 86, 88, 101, 102, 104, 105, 107, 108, 109, 114, 117, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 154], "50": [3, 13, 20, 42, 45, 47, 48, 50, 51, 68, 78, 131, 132, 133, 134, 135, 140, 141, 144], "500": [3, 139, 141, 148], "5000": [32, 33, 34, 36, 37, 38, 140], "501a6b": 144, "503": [135, 138, 155], "505": 13, "50b29b": 144, "512": 136, "514": [132, 138, 155], "515": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "51851851851852": 141, "51922763": 144, "52ad27": 144, "53144c": 133, "5323": [18, 120], "53c9bc": 144, "54": 154, "540db2": 145, "5458844": 145, "5471814": 144, "55": 141, "55555555555555": 141, "558": 6, "568877": 148, "57": [132, 134], "57585333": 144, "58": [132, 139, 143, 155], "58831296": 144, "58c3ff": 133, "59": 16, "591306": 144, "594": [131, 133, 135, 136, 139, 140, 141, 145, 148], "59746979e": 144, "598f3b": 139, "59eb1b": 139, "5_commandlin": [150, 155], "5_continu": [135, 138, 155], "5afac4": 141, "5b27dc": 144, "5b688c": 141, "5beafa": 148, "5d4ba2": 144, "5dcf41": 144, "5efb80": 144, "5f1f97": 144, "6": [16, 42, 44, 47, 86, 88, 123, 138, 140, 141, 144, 145], "60": [136, 139], "60155834": 145, "602": [144, 145], "61206b": 144, "61be50": 144, "627": 144, "6296296296296": 141, "631e51": 144, "636811": 144, "63894427": 145, "64": [0, 1, 32, 37], "64041424": 145, "65": 16, "659942": 144, "65debb": 144, "663b3d": 144, "66666666666666": 141, "6666666666666665": 140, "6718e9": 144, "6764193577937531": 133, "67ed09": 144, "67f6e7": 144, "68075279": 144, "68f8e1": 144, "69": 141, "69596028": 145, "6_prior": [136, 138, 155], "6a2c79": [131, 135], "6a6aa0": 133, "6acb23": 136, "7": [13, 66, 67, 68, 69, 70, 78, 86, 88, 89, 144, 148], "7011175854063811e": 131, "7268bc": 144, "733044": 145, "73b5b196b35fb23e1f908d73b787c2c2942fadb5": 6, "74": 145, "740": [139, 143, 155], "74709967": 144, "75": 13, "75dedd": 144, "76a0b6": 145, "7777777777777777": 139, "786a51": 144, "7870ec": 148, "7877872130716": 134, "78cd53": 144, "795280": 144, "7a1d9c": 141, "7c9235": 144, "7cadd3": 141, "7cf354": 144, "7d4910": 144, "7ec7f": 136, "7edcd1": 144, "7ef5b0": 144, "7f755d": 144, "8": [1, 3, 12, 13, 42, 43, 45, 57, 62, 64, 86, 88, 132, 136, 139, 141, 144, 145, 148, 154], "802816901408451": 141, "8035c4": 141, "812224": 140, "814da4": 144, "815e1c": 139, "81ee7b": 144, "82": 139, "8333333333333334": [42, 44, 86, 88], "834": 147, "850f72": 144, "85f0af": 144, "860188": 144, "866": [148, 150, 155], "876": [144, 147, 155], "87600685": 144, "8787": 139, "87d6f4": 139, "87ec5b": 139, "884840": 140, "88bb69": 148, "892676": 144, "894517": 144, "89e67c": 144, "8ac7b9": 144, "8b3403": 131, "8d6767": 131, "8d742e": 144, "9": [1, 32, 34, 139, 140, 141, 144, 154], "90": 133, "902c13": 144, "90371158": 144, "9040f2": 145, "90e199": 144, "91bfd9": 144, "922896": 144, "926": [136, 138, 155], "932722": 144, "933": [133, 138, 155], "938c0d": 139, "94960333e": 144, "94ea8a": 144, "95": 148, "958": [145, 147, 155], "970": 132, "989599": 144, "99": 16, "9968221839517355": 134, "9999": [131, 141], "999999": 134, "9a770c": 133, "9c6906": 144, "9d232c": 144, "9f0e84": 144, "9f5b5b": 131, "A": [3, 6, 7, 9, 24, 29, 32, 36, 64, 68, 70, 78, 80, 90, 91, 92, 93, 114, 115, 116, 117, 119, 120, 135, 144, 152, 154], "And": [135, 136], "As": [12, 24, 25, 116, 135, 136], "But": [3, 140], "By": [2, 139], "FOR": 9, "For": [0, 3, 7, 8, 13, 15, 16, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 72, 73, 114, 115, 116, 117, 119, 121, 139, 154], "IN": 141, "If": [0, 1, 3, 8, 9, 10, 13, 17, 18, 19, 22, 24, 29, 32, 33, 42, 43, 47, 49, 57, 58, 61, 62, 64, 65, 66, 68, 72, 73, 78, 85, 86, 88, 94, 97, 99, 101, 102, 113, 114, 117, 120, 121, 125, 126, 132, 140, 141, 154], "In": [0, 3, 7, 12, 13, 14, 15, 16, 18, 19, 22, 32, 33, 42, 43, 57, 58, 62, 65, 68, 70, 78, 79, 80, 84, 99, 100, 113, 114, 115, 116, 117, 119, 121, 134, 135, 139, 140, 141, 144, 145, 154], "It": [2, 7, 13, 17, 57, 58, 64, 86, 88, 114, 117, 132, 133], "Its": 154, "No": [6, 21, 42, 46, 48, 57, 62], "Not": 3, "On": [21, 72, 73, 114, 115, 116, 117, 142, 143, 151, 155], "Or": [1, 15], "That": [13, 14, 42, 47], "The": [1, 2, 3, 4, 7, 8, 10, 12, 13, 14, 15, 18, 19, 20, 21, 24, 25, 32, 33, 34, 36, 42, 43, 44, 45, 47, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 84, 85, 86, 88, 94, 95, 97, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 127, 131, 133, 139, 144, 145, 154], "Then": 132, "There": [57, 58], "These": [13, 136], "To": [1, 8, 10, 13, 16, 114, 117, 135, 136, 139], "Will": [114, 117], "With": [42, 43], "_": [133, 140], "__call__": [24, 25, 72, 73, 90, 91, 92, 93, 114, 119, 120, 132], "__class__": 139, "__contains__": [99, 113, 132], "__copyright__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__del__": [114, 117], "__eq__": [99, 113], "__future__": [134, 135, 140, 141, 144, 145], "__getitem__": [99, 113], "__init__": [134, 135, 140], "__iter__": [57, 58, 61, 64, 99, 113], "__len__": [99, 113], "__license__": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__main__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__name__": [21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "__post_init__": [57, 58, 62, 121], "_acquisition_funct": [24, 28], "_beta": [24, 26], "_call": [72, 73], "_challeng": [32, 33], "_cost_per_config": [99, 113], "_data": 140, "_eta": [24, 27, 28], "_function": [24, 28], "_get_gradi": [79, 80, 84], "_get_log_prob": [79, 80, 84], "_log": [24, 27], "_max_incumb": [57, 58], "_maxim": [32, 33], "_num_data": [24, 26], "_num_trials_per_config": [99, 113], "_predict": [66, 67], "_probabl": [94, 96], "_results_queu": [114, 115, 116, 117], "_sample_from_prior": 80, "_select_configur": [50, 51], "_stop_aft": 135, "_tf_instanc": [57, 58], "_tf_seed": [57, 58], "_train": [66, 67], "_updat": [24, 25], "_xi": [24, 27], "a028a8": 131, "a21384": 144, "a34626": [131, 135], "a7b2c5": 144, "a840bc": 133, "a8a5e7": 144, "a96569": 144, "aa0986": 144, "ab179": 144, "abc": [90, 91, 114, 115], "abil": 13, "abl": [21, 114, 115, 132], "abort": [114, 118, 135], "about": [8, 12, 13, 57, 60, 61, 65, 72, 73, 99, 100, 114, 115, 132, 136], "abov": 19, "absolut": [42, 48], "abstract": [24, 25, 32, 33, 42, 43, 57, 58, 66, 67, 68, 69, 80, 86, 87, 90, 91, 94, 95, 101, 102, 114, 115, 117], "abstract_facad": [139, 145], "abstract_initial_design": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_intensifi": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "abstract_runn": 132, "abstractacquisitionfunct": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 49], "abstractacquisitionmaxim": [32, 33, 34, 36, 37, 38, 42, 43], "abstractfacad": [42, 43, 44, 45, 47, 49, 139, 144, 145], "abstractgaussianprocess": [68, 69, 70, 78], "abstractinitialdesign": [42, 43, 50, 51, 52, 53, 54, 55, 56], "abstractintensifi": [42, 43, 57, 58, 61, 62, 65], "abstractkernel": [72, 73, 74, 75, 76, 77], "abstractmodel": [24, 25, 29, 42, 43, 66, 67, 68, 69, 85, 86, 87, 89], "abstractmultiobjectivealgorithm": [42, 43, 90, 91, 92, 93, 99, 101, 102, 113], "abstractprior": [72, 73, 79, 80, 81, 82, 83, 84], "abstractrandomdesign": [32, 33, 35, 42, 43, 49, 94, 95, 96, 97, 98], "abstractrandomforest": [86, 87, 88], "abstractrunhistoryencod": [42, 43, 101, 102, 104, 105], "abstractrunn": [42, 43, 65, 114, 115, 116, 117], "abstractserialrunn": [114, 116, 119, 120], "ac": [90, 93], "ac4b99": 139, "accept": [3, 42, 49, 139], "access": [72, 73], "accord": [32, 34, 36, 94, 96, 98], "accordingli": [99, 113, 136], "account": [86, 88, 101, 102, 139], "accuraci": [2, 3, 19, 136, 139, 145], "acfacad": 3, "achiev": [1, 3], "acquisit": [3, 6, 15, 22, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 78, 101, 104, 136], "acquisition_funct": [24, 26, 28, 29, 31, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 65, 136], "acquisition_maxim": [42, 43, 44, 45, 46, 47, 48, 49], "acqusit": [24, 25], "across": [2, 7, 22, 42, 43, 46, 48, 57, 62, 65, 99, 113, 114, 115, 117, 119, 140], "act": [132, 134], "activ": [1, 8, 72, 73, 114, 117, 136, 139, 145], "actual": [68, 78, 114, 115], "ad": [1, 13, 39, 40, 57, 58, 61, 62, 72, 73, 99, 113, 123, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "ad8450": 133, "adam": [136, 139, 145], "adapt": [7, 80, 139, 140, 145], "add": [1, 8, 13, 16, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 61, 62, 65, 99, 113, 132, 136, 139, 140, 145], "add_condit": [132, 139, 145], "add_hyperparamet": [131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "add_running_tri": [99, 113], "add_trial": [99, 113], "addit": [13, 19, 21, 24, 25, 42, 44, 45, 47, 48, 49, 50, 51, 57, 58, 99, 113, 114, 115, 117, 119, 120, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "addition": [3, 16, 101, 102], "additional_config": [42, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 55, 136], "additional_info": [13, 18, 99, 100, 113, 114, 115, 117, 119, 120], "adjust": [94, 97], "advanc": 19, "advantag": 139, "afefef": 144, "affect": [10, 42, 45, 47, 48, 50, 51, 57, 58], "after": [13, 15, 19, 24, 25, 39, 40, 42, 49, 57, 62, 64, 65, 94, 97, 133, 134, 135, 139, 145], "afterward": [13, 57, 61], "again": [13, 19, 42, 48, 57, 58, 64, 135], "against": [7, 8, 42, 48, 57, 58, 61], "aggreg": [2, 15, 42, 44, 45, 47, 49, 90, 92], "aggress": [42, 46, 49, 139, 154], "agnost": 2, "aka": [114, 115, 117], "al": [8, 24, 28, 29, 68, 78], "algorithm": [2, 3, 6, 7, 8, 14, 15, 22, 24, 28, 32, 34, 42, 43, 44, 45, 46, 47, 49, 57, 58, 99, 101, 102, 113, 114, 115, 119, 120, 127, 132, 140, 154], "algorithm_kwarg": [114, 119, 120, 132], "algorithmconfigurationfacad": [3, 42, 44], "all": [3, 7, 13, 15, 17, 18, 19, 20, 22, 24, 29, 32, 36, 42, 43, 46, 48, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 72, 73, 80, 85, 86, 87, 88, 99, 101, 102, 113, 114, 115, 116, 117, 118, 119, 120, 121, 125, 131, 132, 133, 136, 139, 140, 141, 144, 151, 155], "alloc": [114, 117, 139], "allow": [24, 29, 57, 58, 121], "along": [9, 66, 67], "alpha": [131, 136, 140, 141, 144], "alreadi": [8, 13, 24, 25, 57, 61, 64, 65, 99, 113, 133, 135, 139], "also": [2, 3, 7, 8, 13, 14, 18, 19, 21, 32, 33, 57, 58, 68, 78, 99, 113, 114, 115, 117, 120, 126, 132, 135, 136, 139, 145], "altern": [1, 15, 132, 140], "although": [13, 57, 58], "alwai": [3, 8, 13, 57, 58, 62, 133], "amend": [57, 58], "among": [114, 115], "amount": [57, 58, 61, 94, 97, 114, 117], "an": [0, 1, 2, 3, 7, 8, 13, 14, 15, 17, 18, 21, 24, 25, 32, 33, 35, 39, 40, 42, 43, 44, 45, 47, 49, 57, 58, 61, 68, 78, 90, 92, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 118, 119, 120, 124, 125, 131, 132, 136, 137, 138, 139, 140, 145, 151, 154, 155], "anaconda": [0, 8], "anaconda3": 0, "andr\u00e9": 154, "ani": [0, 1, 2, 7, 8, 9, 10, 13, 20, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 135, 136, 141, 148], "anneal": [13, 94, 96], "annot": [134, 135, 140, 141, 144, 145], "anoth": [7, 13, 99, 113], "any_budget": [42, 46, 48, 57, 62], "anymor": 21, "anyoptim": 127, "anyth": [18, 72, 73], "append": [65, 101, 102, 139], "appli": [12, 66, 67, 80, 131], "applic": [8, 14], "approach": [6, 42, 49], "approxim": [6, 13], "apt": [0, 1], "ar": [0, 2, 3, 7, 8, 12, 13, 14, 15, 16, 17, 18, 19, 21, 24, 25, 27, 32, 35, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "arbitrari": [2, 3, 114, 115, 117, 119, 120, 133, 154], "area": [32, 34], "arg": [50, 56, 86, 87, 101, 106, 110], "argsort": 145, "argument": [3, 13, 14, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 65, 72, 73, 114, 115, 117, 119, 120, 121, 140, 145, 148], "around": [114, 115], "arrai": [72, 73, 145], "articl": 154, "artifici": [2, 135], "artur": 6, "arxiv": 6, "ask": [10, 13, 22, 39, 40, 42, 43, 65, 137, 138, 151, 155], "assert": [133, 134, 135, 139], "associ": [13, 19, 65, 121], "assum": [7, 8, 42, 43, 57, 58, 114, 118], "assumpt": [86, 88], "attach": [42, 43, 114, 117], "attempt": 21, "attent": 13, "attribut": [24, 25], "augment": [6, 7, 16, 24, 29], "author": 154, "auto": 132, "automat": [10, 22, 42, 43, 114, 117], "automl": [0, 1, 8, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "avail": [13, 18, 42, 48, 57, 58, 114, 115, 116, 117, 144], "averag": [19, 42, 43, 44, 45, 47, 49, 65, 90, 92, 99, 113, 139, 145], "average_cost": [13, 19, 99, 113, 145], "average_pareto_cost": 145, "average_sampl": [68, 78], "avoid": [24, 29], "awar": 2, "axi": 132, "b": [57, 58, 132], "b03e1a": 144, "b10fe9": 144, "b19632": 144, "b2d235": 144, "b3f935": 141, "b61b81": 139, "b6e2c1": 144, "b6f791": 144, "b9cbc7": 141, "b9f3bd": [131, 135], "ba9a35": 141, "back": [2, 13], "backend": [42, 43], "balanc": [24, 26, 27, 30, 42, 44, 45, 47], "bandit": [6, 7], "base": [6, 7, 8, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 126, 132, 140, 154], "baserunn": [114, 117], "bash": [0, 18, 148], "basi": 127, "basic": [13, 15, 42, 44, 45, 47, 49, 57, 58, 61, 133], "batch": [57, 62, 124, 136, 139], "batch_siz": [136, 139, 145], "bayesian": [2, 6, 7, 13, 24, 28, 29, 42, 43, 65, 68, 70, 78, 80, 94, 97, 134, 154], "bb": 7, "bb0bce": 144, "bb24df": 144, "bbfacad": 3, "bd5027": 144, "bdbb31": 141, "be5418": 144, "bec0fc": [131, 135], "becaus": [12, 13, 21, 72, 73, 99, 113, 114, 115, 118, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "been": [0, 1, 2, 8, 13, 17, 19, 21, 57, 58, 62, 64, 99, 100, 113, 114, 115, 116, 117, 133], "befor": [8, 13, 21, 24, 25, 32, 36, 37, 39, 40, 41, 42, 43, 47, 64, 65, 68, 78, 94, 97, 114, 115, 116, 117, 135, 139, 145], "beforehand": [13, 136, 141], "begin": [32, 36, 94, 95, 97], "behav": [8, 24, 29], "behavior": 10, "behaviour": [10, 20, 42, 43, 57, 58, 61, 62, 65], "behind": [3, 13], "being": [2, 7, 72, 73, 114, 119], "belief": [6, 24, 29, 136], "believ": 136, "below": 19, "benchmark": [121, 132], "benjamin": 154, "best": [3, 4, 7, 13, 24, 26, 27, 32, 36, 42, 43, 46, 48, 49, 57, 62, 65, 131, 132, 133, 134, 135, 140, 141, 145, 148], "beta": [24, 26, 136], "beta_t": [24, 26], "betaintegerhyperparamet": 136, "better": [3, 12, 13, 42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148, 154], "between": [24, 26, 27, 30, 42, 44, 45, 47, 65, 66, 67, 86, 88, 101, 106, 108, 109, 110], "bf189c": 144, "bham": [90, 93], "biedenkapp": 154, "big": [42, 43, 65, 114, 115, 117, 119], "bin": [0, 18, 24, 29, 148], "binari": 140, "binder": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "black": [2, 3, 7, 131], "blackboxfacad": [3, 18, 42, 45, 148], "blob": 127, "blue": [131, 141, 144], "bo": [7, 42, 43], "bohb": [3, 7, 8, 139], "bool": [13, 24, 27, 29, 39, 40, 42, 43, 44, 47, 57, 58, 61, 62, 65, 68, 70, 72, 73, 78, 86, 88, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 134, 135], "boolean": [72, 73], "bootstrap": [21, 42, 44, 47, 86, 88], "both": [2, 3, 14, 15, 57, 58, 64, 116, 139, 145], "botorch": 2, "bound": [13, 24, 26, 79, 84, 99, 113, 123, 126, 145], "box": [2, 3, 7, 131], "bracket": [42, 46, 48, 57, 59, 62, 139, 140, 141], "bridg": [114, 117], "brown": 154, "browser": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "bsd": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "budget": [2, 3, 7, 13, 14, 17, 18, 19, 42, 43, 44, 46, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "budget_exhaust": 65, "budget_subset": [99, 101, 102, 113], "budget_us": 60, "budgets_in_stag": 60, "bug": 8, "build": [0, 1, 132, 136, 139, 140], "bunch": 13, "burn": [68, 78], "burning_step": [68, 78], "c": [3, 4, 90, 93, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "c13402": 144, "c1d379": 144, "c20683": 144, "c22923": 144, "c284f2": 144, "c287f1": 144, "c31df1": 144, "c4bc7d": 144, "c714f5": [131, 135], "c7846c": 144, "c7a507": 144, "cabaca": 131, "cach": [99, 113], "cacul": 60, "calcul": [13, 17, 24, 25, 99, 113, 131, 132, 133, 136, 139, 141, 148], "calculate_pareto_front": [57, 58, 127], "call": [7, 13, 17, 22, 24, 25, 32, 33, 37, 39, 40, 41, 42, 43, 49, 50, 51, 57, 58, 65, 66, 67, 72, 73, 74, 79, 80, 84, 89, 114, 115, 116, 117, 119, 120, 124, 132, 133, 135, 136, 149, 150, 151, 155], "callabl": [13, 35, 42, 43, 114, 119, 120], "callback": [22, 35, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 65, 135, 137, 138, 151, 155], "can": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 31, 32, 33, 34, 36, 37, 42, 43, 46, 48, 57, 58, 62, 65, 68, 78, 99, 113, 114, 115, 116, 117, 119, 121, 125, 132, 133, 135, 136, 139, 144, 145, 149, 151, 154], "cancel_command": 21, "candid": [32, 34, 38], "cannot": [8, 21], "canon": [79, 81], "capabl": [2, 114, 117], "care": [8, 13, 42, 43], "carl": [6, 24, 29], "carlo": [7, 68, 78], "carolin": 154, "case": [0, 1, 2, 3, 13, 14, 15, 17, 21, 24, 29, 32, 36, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 64, 65, 99, 100, 113, 114, 115, 116, 117, 121, 135, 140, 151], "cat": 3, "catch_warn": [136, 139, 140, 145], "categor": [2, 3, 32, 36, 42, 45, 132, 136, 139, 140, 145], "categori": 136, "categoricalhyperparamet": 136, "cc": [24, 28], "cd": [0, 1], "cdd1aa": 141, "cdf": [24, 30], "ce39dc": 136, "ce6578": 141, "ce9ad7": 144, "ceil": [139, 145], "center": 136, "certain": 22, "chain": [7, 68, 78], "chain_length": [68, 78], "challeng": [13, 32, 33, 34, 35, 36, 37, 38, 42, 43, 45, 47, 57, 58, 61, 94, 95, 114, 115, 123], "challenger_callback": 35, "challengerlist": [13, 32, 33, 35], "chanc": 13, "chang": [0, 1, 3, 10, 13, 20, 57, 58, 62, 72, 73, 99, 113, 132, 136], "channel": 1, "channel_prior": 1, "chapter": [7, 22], "char": 123, "characterist": 2, "check": [0, 1, 13, 57, 58, 64, 65, 94, 95, 96, 97, 98, 99, 113, 114, 115, 121, 135], "child": [8, 21, 50, 51, 114, 115, 132, 139, 145], "chmod": 18, "choic": 139, "choos": [42, 45, 68, 78, 139], "chosen": [42, 45, 139, 151], "chunk": 124, "circumv": [32, 36], "cite": 154, "class": [13, 15, 20, 24, 32, 39, 42, 50, 57, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "classa": 140, "classb": 140, "classifi": [4, 132, 136, 139, 140, 145], "claus": [9, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "clf": 140, "cli": 7, "client": [21, 42, 43, 114, 117], "clone": 1, "close": [42, 43, 114, 117], "closest": [3, 8, 139], "closur": 35, "cluster": [22, 42, 43, 114, 117, 139], "code": [4, 8, 10, 13, 18, 19, 32, 36, 57, 58, 68, 70, 78, 79, 84, 114, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151], "coef": 132, "coef0": 132, "colab": 8, "collect": [13, 72, 73, 74, 114, 115, 117], "com": [0, 1, 127, 154], "combin": [7, 42, 43, 57, 58, 65, 90, 91, 92, 93, 99, 113, 114, 115, 117, 121, 132, 139, 140, 154], "come": [19, 114, 117], "comma": [18, 120], "command": [0, 1, 2, 7, 21, 22], "commandlin": 2, "common": [0, 3, 114, 115, 117, 136], "commun": [12, 133], "communc": 21, "compar": [7, 13, 19, 42, 46, 49, 57, 58, 62, 123, 124, 127, 139], "comparison": [8, 42, 48, 57, 58], "compil": 8, "complet": [10, 13, 19, 42, 43, 60, 65, 114, 115, 116, 117], "complex": [2, 13, 22, 114, 115], "compli": [114, 117], "compon": [3, 18, 22, 42, 43, 44, 64, 66, 67, 68, 69, 70, 78, 86, 88, 135], "composit": [42, 45], "compromis": 7, "comput": [13, 24, 25, 26, 28, 79, 80, 84, 99, 113, 127], "concret": [32, 33, 66, 67], "conda": 0, "condit": [2, 72, 73, 123, 132, 139, 140, 145], "conduct": 136, "confer": 154, "confid": [13, 24, 26, 42, 49], "config": [1, 3, 4, 7, 13, 39, 40, 42, 43, 48, 50, 51, 57, 58, 61, 62, 64, 65, 99, 100, 111, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "config_copi": 132, "config_dict": 132, "config_gener": [13, 57, 58], "config_id": [99, 100, 113, 131, 139, 141], "config_instance_seed_budget_kei": 127, "config_selector": [13, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58], "configs_arrai": [101, 102], "configselector": [12, 13, 42, 43, 45, 57, 58, 64], "configspac": [3, 4, 32, 33, 34, 35, 36, 37, 38, 66, 67, 68, 69, 70, 78, 86, 88, 89, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "configur": [2, 4, 7, 8, 12, 15, 17, 18, 22, 24, 25, 32, 33, 35, 36, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 60, 61, 62, 64, 65, 79, 80, 84, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "configurationspac": [2, 3, 4, 32, 33, 35, 36, 37, 66, 67, 68, 69, 70, 78, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "consequ": 2, "consid": [13, 17, 19, 21, 42, 44, 47, 49, 57, 58, 86, 88, 99, 101, 102, 113, 116, 139, 140, 145], "considered_st": [13, 101, 102, 104, 105, 107, 108, 109], "consist": [10, 24, 31, 32, 33, 42, 43, 136, 139, 140, 145, 154], "consol": 20, "constant": [24, 29, 32, 36, 94, 97, 139, 140, 145], "constant_valu": [72, 73], "constant_value_bound": [72, 73], "constantkernel": [72, 73], "constraint": [121, 140], "construct": [3, 114, 117], "consum": [114, 115], "contain": [15, 42, 43, 65, 72, 73, 99, 113, 114, 115, 116, 117, 127], "content": 148, "context": [7, 121], "contin": [24, 29], "continu": [2, 13, 22, 32, 34, 42, 43, 45, 57, 58, 59, 61, 62, 64, 99, 113, 132, 133, 136, 137, 138, 139, 144, 151, 154, 155], "contrast": 3, "contribut": [8, 154], "control": [10, 24, 26, 27, 30, 42, 44, 45, 46, 47, 48, 57, 58, 60, 62], "convent": [32, 34], "convergencewarn": 136, "convert_configurations_to_arrai": 123, "copi": [9, 24, 28, 57, 58], "copyright": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "core": [0, 3, 12, 42, 43, 65, 114, 115, 117, 119, 154], "corner": [13, 50, 53], "correctli": 21, "correspond": [66, 67, 79, 81, 126, 135], "cosin": [94, 96], "cosineannealingrandomdesign": [94, 96], "cost": [7, 13, 15, 16, 18, 22, 42, 43, 47, 57, 58, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "costs_i": 145, "costs_x": 145, "could": [3, 8, 13, 18, 114, 118, 121, 140], "count": [17, 121], "count_available_work": [114, 115, 116, 117], "count_instance_featur": 121, "count_object": 121, "counterproduct": 21, "covari": [66, 67], "covariance_typ": [66, 67], "cover": [42, 45, 47, 48, 50, 51], "cpu": [11, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "cputim": 65, "cputime_limit": 121, "crash": [8, 101, 102, 114, 118, 132], "crash_cost": 121, "creat": [0, 1, 8, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 117, 119, 120, 132, 135, 136, 139, 140, 145], "criteria": 22, "critic": 20, "cross": [2, 7, 121, 136, 137, 138, 139, 140, 145, 151, 155], "cross_val_scor": [4, 132, 136, 139, 140, 145], "crowd": [57, 58, 127, 144], "crucial": [3, 20, 42, 48, 57, 58, 139], "cryptic": 8, "curl": 0, "current": [1, 7, 10, 13, 21, 24, 25, 27, 28, 42, 43, 49, 57, 58, 59, 61, 62, 65, 68, 70, 94, 98, 99, 100, 101, 102, 113, 134], "custom": [15, 21, 22, 42, 43, 125, 135, 137, 138, 151, 155], "customcallback": [13, 134], "customiz": 20, "cut": [18, 57, 58, 148], "cv": [4, 7, 132, 136, 139, 140, 145], "d": [0, 18, 20, 24, 26, 148], "d0": 16, "d1": [16, 124], "d2": [16, 124], "d25f7e": 144, "d3": 16, "d4": 16, "d4166e": 144, "d5d1f3": 144, "d645c9": 144, "d7ecca": [131, 135], "da5bdf": 133, "danni": 6, "dask": [21, 42, 43, 114, 117, 119, 121], "dask_client": [42, 43, 44, 45, 46, 47, 48, 49, 114, 117], "dask_data_to_scatt": [114, 115, 117, 119], "dask_runn": [42, 43], "daskparallelrunn": [114, 117], "data": [3, 4, 7, 10, 13, 14, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 44, 47, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 148], "data_to_scatt": [42, 43, 65], "dataclass": 133, "dataset": [2, 4, 7, 16, 42, 43, 65, 114, 115, 117, 119, 121, 132, 136, 139, 142, 143, 145, 151, 155], "db0045": 144, "dc0cd8": 144, "dc55be": 144, "dc7dee": 144, "ddd02b": 144, "de": [42, 43, 65, 114, 115, 117, 119], "deactiv": 139, "debug": [20, 42, 43], "decai": [24, 29], "decay_beta": [24, 29, 136], "decid": [13, 42, 43, 65, 114, 115, 154], "decis": [114, 115, 116, 117], "declar": [18, 72, 73, 148], "decoupl": 13, "decreas": [94, 96, 97, 98], "deep": [3, 72, 73, 139], "def": [3, 4, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "default": [3, 8, 13, 14, 15, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 92, 93, 94, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "default_config": 136, "default_cost": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "default_valu": 136, "defaultinitialdesign": [42, 44, 49, 50, 52], "defaut": [32, 36], "defin": [3, 16, 19, 24, 29, 32, 33, 36, 42, 43, 65, 80, 99, 111, 114, 115, 121, 132, 133, 136, 139, 140, 145], "degre": 132, "delet": [114, 117], "deng": 154, "densiti": [24, 29], "depend": [1, 2, 3, 8, 12, 13, 18, 22, 32, 33, 42, 45, 66, 67, 90, 91, 114, 118, 121, 132], "deprecationwarn": [132, 134], "depth": [42, 44, 47, 86, 88, 132], "deriv": [10, 135, 136], "desalvo": 6, "descent": [142, 143, 151, 155], "describ": [42, 43, 65], "descript": 8, "design": [3, 6, 7, 22, 32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 64, 94, 95, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "detail": [1, 3, 7, 24, 28, 29, 32, 33, 42, 48, 139], "determin": [2, 8, 14, 42, 43, 57, 58, 60, 68, 72, 73, 78, 116], "determine_hb": 60, "determine_hyperband_for_multifidel": 60, "determinist": [4, 8, 121, 131, 133, 135, 141, 144, 148], "dev": 1, "devdoc": [50, 56], "develop": [57, 58, 154], "deviat": [66, 67, 79, 83, 136], "df326a": 131, "diagon": [66, 67], "dict": [24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 124, 132, 134, 140, 144, 145], "dictat": [114, 115, 117], "dictionari": [15, 99, 113, 124, 132, 134], "did": [3, 10], "difan": 154, "diff": 124, "diff_b_a": 132, "differ": [3, 7, 8, 13, 16, 17, 18, 39, 40, 42, 43, 57, 58, 86, 88, 90, 91, 114, 115, 121, 123, 124, 136, 139, 140, 145], "differenti": [13, 32, 34], "differentialevolut": [32, 34], "differentialevolutionsolv": [32, 34], "digit": [136, 139, 140, 145], "digitsdataset": 140, "dimens": [24, 26, 66, 67, 132, 133], "dimension": [2, 13, 42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 133], "directli": [1, 3, 13, 14, 15, 18, 114, 119], "directori": [8, 65, 121], "disabl": [2, 20, 42, 45, 47, 48, 50, 51, 134], "disable_existing_logg": 20, "discard": [2, 42, 46, 48, 57, 60, 62], "discov": 8, "discrep": 13, "discret": [24, 29, 136], "discrete_bins_factor": [24, 29], "discuss": [8, 22], "disk": [99, 113], "displai": 20, "distanc": [57, 58, 101, 102, 127, 144], "distribut": [9, 13, 42, 43, 65, 79, 81, 83, 86, 88, 114, 115, 117, 119, 139], "dive": [3, 13], "do": [1, 10, 13, 15, 16, 18, 20, 24, 31, 42, 43, 49, 65, 114, 115, 117, 119, 135, 136, 148], "doc": [50, 54], "docstr": [99, 113], "document": [1, 3, 32, 34, 57, 59], "doe": [7, 8, 20, 21, 24, 31, 32, 34, 35, 65, 94, 97, 99, 113, 114, 117], "dog": 3, "domain": 133, "don": [3, 8, 135], "done": [18, 21, 42, 43, 57, 61, 114, 115, 116, 117, 148], "down": 135, "download": [0, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "drastic": 13, "drawn": [42, 43, 44, 45, 47, 68, 70, 80, 94, 98], "drive": 0, "due": [21, 32, 34, 140], "dummi": [42, 49, 141], "dump": 0, "dure": [8, 13, 32, 33, 36, 37, 42, 43, 49, 65, 86, 88], "dynam": [114, 117], "dynamicmodulusrandomdesign": [94, 97], "dynamicprobabilityrandomdesign": [94, 98], "e": [0, 1, 2, 7, 12, 13, 15, 18, 21, 24, 27, 42, 46, 48, 57, 62, 64, 79, 81, 114, 115, 140], "e06ac3": 144, "e149e": 144, "e19804": 144, "e1dc2b": 131, "e4c3a3": 144, "e4deb": 144, "e501": [101, 102], "e50a55": 131, "e591ad": 144, "e5c425": 140, "e66a0": 131, "e6c407": 144, "e8a37c": 144, "e990dd": 144, "each": [0, 1, 7, 13, 14, 16, 19, 24, 29, 32, 35, 37, 42, 43, 46, 48, 57, 58, 60, 62, 64, 65, 68, 70, 78, 90, 91, 93, 94, 98, 99, 113, 114, 117, 121, 145], "earli": [2, 42, 49], "early_stop": 140, "easi": 3, "easieast": 134, "easiest": 20, "easili": [13, 121], "eb4be3": 144, "echo": [18, 120, 148], "ed19a5": 144, "ed629c": 144, "educ": 136, "eed864": 144, "effici": [2, 3, 12, 32, 34, 57, 58, 99, 113, 154], "eggensperg": 154, "ei": [24, 25, 27, 42, 44, 45, 47], "eight": 3, "eip": [24, 27, 101, 104], "either": [1, 3, 8, 42, 43, 68, 78, 99, 113, 114, 119], "elasticnet": 140, "element": [114, 119], "els": [18, 20, 132, 141, 145], "embed": [114, 115, 117], "emce": [68, 78], "emphas": 3, "empir": [13, 24, 29, 99, 113], "emploi": 7, "empti": [18, 57, 61, 64, 99, 113, 114, 115, 116, 117, 119, 120, 132], "enabl": [1, 18, 42, 44, 47, 86, 88, 99, 113], "encapsul": [114, 115], "encod": [3, 22, 42, 43, 44, 45, 47, 49], "encount": 132, "end": [13, 32, 33, 39, 40, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "end_modulu": [94, 97], "endeavor": [114, 115], "endtim": [13, 99, 100, 113], "enforc": [8, 121], "enough": [7, 42, 49, 114, 115], "ensur": [8, 11, 24, 29, 121], "enter": 0, "entri": [2, 3], "enumer": 144, "env": 18, "environ": [0, 1, 3, 4, 42, 43, 121, 131, 134, 135, 136, 139, 141, 145, 148], "environment": [42, 43, 65], "epm": 13, "epoch": [7, 14, 121, 142, 143, 151, 155], "eps_pur": [86, 88], "equal": [60, 99, 113], "equalscondit": [139, 145], "error": [8, 20, 21], "error_scor": [136, 139, 145], "essenti": [0, 39, 40], "estim": [72, 73, 86, 88, 101, 102], "et": [8, 24, 28, 29, 68, 78], "eta": [42, 46, 48, 57, 59, 60, 62, 139, 140, 141], "eta0": 140, "etc": [64, 72, 73, 121], "eval_gradi": [72, 73], "evalu": [2, 3, 7, 8, 12, 13, 14, 19, 21, 24, 25, 32, 33, 34, 42, 43, 44, 45, 47, 49, 50, 51, 52, 55, 57, 58, 61, 62, 64, 72, 73, 94, 95, 96, 97, 98, 99, 100, 113, 114, 119, 121, 131, 132, 133, 134, 139, 140, 144, 145], "even": [7, 9, 13, 16, 19, 21], "event": [57, 58, 61, 62], "eventu": [114, 115], "ever": [94, 97], "everi": [3, 13, 42, 43, 57, 58, 65, 94, 96, 97, 114, 115, 117, 119], "everyth": [20, 148], "everytim": [13, 18, 57, 58, 61, 120], "evolut": [13, 32, 34], "exact": [10, 42, 43, 65], "exactli": [15, 57, 61], "exampl": [3, 7, 8, 10, 13, 14, 15, 16, 17, 18, 21, 24, 25, 42, 43, 45, 47, 48, 50, 51, 57, 58, 62, 64, 65, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 152, 155], "examples_jupyt": 151, "examples_python": 151, "exce": 65, "exceed": [65, 132], "except": [18, 42, 43, 114, 116, 117, 136], "execut": [2, 8, 13, 18, 21, 42, 43, 48, 65, 99, 113, 114, 115, 116, 117, 119, 120, 138, 143, 147, 150, 152, 155], "exhaust": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "exist": [57, 61, 65, 99, 113, 132, 135], "exloit": [24, 27], "exp": 132, "expand": [16, 57, 58, 62, 121], "expect": [3, 8, 13, 24, 27, 42, 43, 44, 45, 47, 86, 88, 101, 104, 114, 115], "expens": [6, 7], "experi": [13, 20, 42, 47], "experiment": 6, "expert": 3, "explain": [3, 13], "explicitli": [42, 43, 114, 117, 132, 134], "exploit": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "explor": [7, 13, 24, 26, 27, 30, 42, 43, 44, 45, 47], "expon": [79, 84], "exponenti": [79, 80, 84], "export": 0, "ext": 20, "extend": 7, "extens": 7, "f": [24, 27, 30, 68, 70, 78, 79, 80, 81, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "f09c3b": [131, 135], "f1": [18, 144, 148], "f2": [18, 144, 148], "f3c025": 144, "f3c23b": 144, "f5d5f9": 144, "f6167b": 139, "f69e52": 144, "f72805": [131, 135], "f79367": 141, "f_": [24, 27, 30], "facad": [8, 10, 13, 14, 15, 20, 65, 121, 131, 132, 136, 139, 144, 145], "fact": [13, 57, 61], "factor": [24, 29, 94, 98], "factori": [13, 50, 53, 99, 100], "factorialinitialdesign": [50, 53], "fail": [57, 58, 114, 117, 118, 121], "falkner": [68, 70, 78, 80], "fall": 2, "fals": [8, 10, 20, 24, 27, 29, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 62, 65, 68, 72, 73, 74, 75, 76, 77, 78, 86, 88, 99, 113, 114, 117, 121, 125, 132, 133, 134, 135], "far": [13, 19, 24, 26, 27, 42, 46, 48, 57, 62, 65, 100, 134], "fashion": [42, 43, 65, 114, 115, 116, 117, 119], "fast": 21, "faster": 12, "fault": 0, "fe2841": 144, "featur": [8, 13, 16, 18, 42, 44, 47, 66, 67, 68, 69, 70, 78, 85, 86, 88, 101, 102, 120, 121, 123, 140], "fec302": 144, "feedback": 8, "feedstock": 1, "feel": 8, "fef2f4": 131, "feurer": 154, "few": [2, 7, 42, 49, 140], "fewer": 121, "ff3901": 144, "ff709c": 144, "fi": [18, 148], "fidel": [2, 3, 7, 13, 19, 22, 42, 43, 48, 57, 58, 60, 61, 62, 65, 99, 113, 121, 139, 140, 141], "fifo": [114, 115], "figur": [131, 139, 141, 144], "file": [2, 9, 10, 18, 22, 42, 43, 65, 99, 113, 121, 132, 135, 138, 143, 147, 150, 152, 155], "filenam": [18, 20, 57, 58, 65, 99, 113, 148], "fill": [42, 43, 57, 58, 62, 65, 116], "filterwarn": [136, 139, 140, 145], "final": [3, 94, 96], "find": [1, 2, 3, 4, 7, 13, 32, 34, 57, 58, 60, 64, 131, 132, 133, 134, 135, 141, 148], "finish": [10, 13, 21, 39, 40, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 139, 140, 141, 144], "first": [3, 8, 10, 13, 17, 18, 42, 43, 57, 58, 61, 62, 64, 72, 73, 99, 113, 114, 118, 119, 124, 132, 135, 144, 148], "firstruncrashedexcept": [114, 118], "fit": [3, 9, 24, 25, 66, 89], "five": [16, 42, 45, 47, 48, 50, 51, 139, 145], "fix": [72, 73], "flag": [8, 135], "flexibl": [2, 68, 70, 78, 80], "float": [3, 4, 18, 24, 26, 27, 28, 29, 30, 31, 32, 36, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "flow": 17, "fmin": [24, 25], "fold": [136, 139, 145], "folder": [0, 65], "follow": [1, 2, 3, 4, 8, 12, 13, 15, 16, 18, 20, 42, 49, 57, 61, 62, 86, 88, 114, 115, 117, 120, 148, 154], "forc": [114, 117], "force_upd": [99, 113], "forest": [1, 3, 7, 13, 24, 29, 32, 36, 42, 44, 47, 66, 67, 86, 87, 88, 132, 136, 154], "forev": [57, 61], "forgotten": 21, "fork": 21, "form": [7, 18, 79, 81, 120], "format": [13, 20, 124], "formatt": 20, "forward": 13, "found": [7, 8, 10, 13, 24, 29, 42, 43, 57, 58, 61, 65, 94, 97, 131, 135, 141, 148, 154], "four": [3, 66, 67], "frac": [24, 27, 30], "fraction": [94, 97], "frame": 121, "framework": [2, 3, 7, 68, 70, 78, 80], "frank": [6, 154], "free": [7, 8, 9, 42, 46], "freeze_support": 21, "freiburg": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "from": [1, 2, 3, 4, 8, 10, 13, 18, 19, 20, 32, 34, 36, 42, 43, 49, 50, 51, 57, 58, 61, 62, 64, 65, 68, 70, 72, 73, 80, 99, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 149, 150, 151, 152, 155], "front": [15, 57, 58, 127, 144, 145], "frozen": 21, "full": [24, 25, 26, 27, 28, 29, 30, 31, 66, 67, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "function": [2, 6, 7, 8, 12, 14, 15, 21, 22, 32, 33, 34, 35, 36, 39, 40, 42, 43, 44, 45, 47, 49, 64, 65, 68, 70, 72, 73, 78, 99, 101, 102, 104, 113, 114, 115, 116, 117, 118, 119, 120, 121, 132, 133, 135, 136, 137, 138, 139, 140, 141, 145, 146, 147, 149, 150, 151, 155], "function_bas": 132, "function_sampl": [68, 70], "further": [18, 24, 28, 29, 50, 54, 56, 94, 97, 114, 115, 117, 118, 119, 120, 121], "furthermor": [1, 57, 58, 134], "futur": [57, 58, 114, 117], "g": [0, 2, 6, 7, 12, 13, 15, 18, 21, 140], "gain": 136, "galleri": 155, "gamma": [79, 81, 132], "gamma_valu": 132, "gammaprior": [79, 81], "gaussian": [3, 6, 7, 13, 42, 45, 66, 67, 68, 69, 70, 72, 73, 78, 80, 131], "gaussianprocess": [42, 45, 68, 70, 78], "gcc": 8, "gcc_linux": [0, 1], "gener": [0, 3, 7, 8, 10, 12, 13, 14, 35, 42, 43, 50, 54, 56, 57, 58, 90, 91, 114, 115, 116, 117, 121, 132, 153, 154], "geq": [24, 30], "get": [0, 1, 13, 32, 34, 38, 57, 58, 62, 72, 73, 114, 117, 125, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_": [42, 43], "get_acquisition_funct": [42, 43, 44, 45, 47, 49, 136], "get_acquisition_maxim": [42, 43, 44, 45, 47, 49], "get_callback": [57, 58], "get_conditional_hyperparamet": 123, "get_config": [13, 99, 113, 131, 141, 144, 145], "get_config_hash": 123, "get_config_id": [99, 113], "get_config_selector": [42, 43, 45], "get_configs_per_budget": [99, 113], "get_configur": [101, 102], "get_cost": [99, 113, 134], "get_default_configur": [131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "get_dictionari": [132, 134], "get_finish": [114, 115, 116, 117], "get_gradi": [79, 80, 84], "get_incumb": [15, 57, 58, 134, 135, 144], "get_incumbent_instance_seed_budget_kei": [57, 58], "get_incumbent_instance_seed_budget_key_differ": [57, 58], "get_initial_design": [42, 43, 44, 45, 47, 48, 49, 132, 136, 139, 145], "get_inst": 140, "get_instance_data": 140, "get_instance_featur": 140, "get_instance_seed_budget_kei": [57, 58, 62, 99, 100, 113], "get_instance_seed_kei": [99, 100], "get_instance_seed_keys_of_interest": [57, 58, 62], "get_intensifi": [42, 43, 44, 45, 46, 47, 48, 49, 133, 136, 141, 145], "get_kernel": [42, 45], "get_log_prob": [79, 80, 84], "get_logg": 125, "get_min_cost": [99, 113], "get_model": [42, 43, 44, 45, 47, 49], "get_multi_objective_algorithm": [42, 43, 44, 45, 47, 49, 144], "get_n_trials_for_hyperband_multifidel": [60, 141], "get_param": [72, 73, 74], "get_random_design": [42, 43, 44, 45, 47, 49], "get_rejected_config": [57, 58], "get_runhistory_encod": [42, 43, 44, 45, 47, 49], "get_running_config": [99, 113], "get_running_tri": [99, 113], "get_stat": [57, 58, 59, 61, 62], "get_trial": [42, 48, 99, 113], "get_trials_of_interest": [57, 58, 62], "get_typ": 123, "git": 1, "github": [1, 8, 50, 56, 127, 154], "githubusercont": 0, "give": [13, 17, 20, 22, 64, 121], "given": [7, 18, 24, 25, 26, 32, 36, 42, 48, 57, 58, 62, 66, 67, 94, 96, 98, 99, 101, 102, 113, 114, 115, 119, 120, 126, 127, 140], "global": [2, 7, 20, 32, 34, 57, 58], "go": [13, 21, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "goal": 7, "good": [7, 139], "govern": 7, "gp": [7, 68, 78], "gracefulli": [39, 40, 135], "gradient": [32, 34, 72, 73, 79, 80, 84, 142, 143, 151, 155], "greater": [79, 81, 121], "greather": [79, 81, 121], "ground": [131, 141], "group": [42, 43, 57, 62, 65, 114, 115, 117, 119], "guarante": [13, 22, 99, 113], "guid": [8, 13], "guidelin": 154, "gxx_linux": [0, 1], "h": 154, "ha": [0, 1, 2, 19, 21, 32, 33, 42, 43, 50, 51, 57, 58, 62, 65, 72, 73, 100, 114, 115, 117, 119], "had": 140, "halv": [7, 14, 17, 42, 46, 48, 57, 60, 62, 139, 140, 141], "ham": [72, 74], "hammingkernel": [42, 45, 72, 74], "handl": [64, 99, 113, 114, 115, 117, 119, 120], "handler": 20, "hang": 21, "hannov": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "happen": [8, 13, 60], "hard": [57, 58], "has_condit": [72, 73, 74, 75, 76, 77], "has_config": [99, 113], "hash": [42, 43, 121, 123], "hasn": 8, "have": [1, 7, 8, 9, 10, 13, 14, 15, 17, 18, 21, 32, 36, 42, 43, 49, 57, 58, 64, 65, 99, 100, 113, 114, 115, 116, 117, 119, 133, 136, 139, 140, 145], "haven": 1, "hb": [7, 141], "hbfacad": 3, "help": [8, 12], "helper": [94, 95], "here": [1, 3, 8, 13, 19, 24, 31, 57, 58, 64, 131, 135, 136, 140, 141, 148, 154], "heurist": [32, 34], "hi": [79, 80, 84], "hidden_layer_s": [136, 139, 145], "hierarch": 2, "hierarchi": [72, 73], "high": [3, 12, 13, 21], "higher": [12, 13, 132], "highest": [13, 19, 42, 43, 46, 48, 57, 58, 62, 64, 65, 99, 113], "highest_budget": [42, 46, 48, 57, 62, 139], "highest_observed_budget": [42, 46, 48, 57, 59, 62], "highest_observed_budget_onli": [99, 113], "highli": 3, "highlight": [20, 145], "hint": 22, "histor": 121, "histori": [15, 19, 65], "hold": [13, 22, 24, 28, 42, 43, 57, 61, 65, 132], "home": [0, 132, 134], "hoo": 154, "hope": 9, "horizont": 3, "horsesho": [79, 82], "horseshoeprior": [79, 82], "host": 139, "hostedtoolcach": [132, 139], "how": [1, 7, 8, 13, 14, 15, 18, 20, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 65, 99, 100, 113, 114, 115, 117, 120, 124, 133, 139, 141, 144, 145, 148, 151], "howev": [1, 3, 7, 8, 13, 15, 17, 18, 22, 42, 43, 57, 62, 64, 120, 144], "hp": [7, 13, 136], "hpbandster": [2, 8], "hpofacad": [3, 13, 131, 134, 135, 144, 145], "hssl22": [6, 24, 29], "html": [6, 50, 54, 56, 154], "http": [0, 1, 6, 9, 24, 28, 50, 54, 56, 90, 93, 127, 139, 154], "hundr": 35, "hutter": [6, 8, 68, 70, 78, 80, 154], "hvarfner": [6, 24, 29], "hybrid": 6, "hyperband": [3, 6, 7, 14, 42, 46, 48, 57, 60, 62, 139, 142, 143, 151, 155], "hyperband_info": 60, "hyperband_util": 141, "hyperbandfacad": [3, 42, 46, 49], "hypercub": [13, 50, 54], "hypermapp": 2, "hyperopt": 2, "hyperparamet": [2, 3, 4, 6, 7, 13, 18, 24, 28, 29, 32, 36, 42, 43, 45, 47, 48, 50, 51, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 85, 86, 88, 123, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148, 154], "hyperparameter1": [18, 120], "hyperparameter_length_scal": [72, 74], "hyperparameteroptimizationfacad": [3, 4, 42, 47, 48, 131, 132, 133, 134, 135, 136, 144, 145], "i": [0, 1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 21, 24, 29, 32, 33, 34, 39, 40, 42, 43, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 85, 86, 88, 94, 95, 96, 97, 98, 99, 100, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "id": [16, 99, 100, 113], "idea": [3, 8, 13, 154], "identifi": [16, 121], "idiom": 21, "ids_config": [99, 113], "ignor": [18, 19, 42, 43, 57, 61, 64, 65, 72, 73, 131, 136, 139, 140, 141, 145], "illustr": [136, 139, 141], "imagin": 13, "immedi": 116, "implement": [2, 3, 8, 13, 24, 25, 32, 33, 36, 37, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 70, 72, 73, 74, 75, 76, 77, 78, 79, 81, 83, 86, 88, 90, 93, 114, 115, 117, 139], "impli": [9, 139], "import": [3, 4, 8, 13, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "importantli": [99, 113], "improv": [2, 3, 13, 24, 27, 30, 42, 44, 45, 47, 101, 104], "imput": 123, "inact": [13, 42, 43, 123], "includ": [13, 21, 57, 58, 59, 61, 62, 65, 66, 67, 85, 136, 140, 154], "incondit": [132, 139, 145], "inconsist": [65, 131, 135, 141, 148], "incorpor": [13, 42, 43, 49, 57, 58, 66, 67, 68, 69, 70, 78, 86, 88, 99, 113, 121, 136], "increas": [42, 49, 94, 97], "increment": [99, 113], "incremental_update_cost": [99, 113], "incumb": [4, 7, 13, 15, 18, 19, 24, 27, 28, 30, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 100, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "incumbent2": 135, "incumbent_cost": [131, 132, 133, 135, 136, 139, 140, 141, 148], "incumbent_select": [42, 46, 48, 57, 59, 62, 139], "incumbents_chang": [57, 58], "index": 65, "indic": [42, 43, 94, 95, 97, 114, 118, 140, 145], "individu": [42, 46, 48, 57, 62, 99, 113], "inf": [19, 94, 97, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "inferior": [57, 58], "infin": [19, 132], "influenc": [13, 15, 141], "info": [13, 20, 39, 40, 42, 43, 60, 65, 99, 113, 114, 115, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "inform": [8, 10, 13, 42, 43, 50, 54, 56, 57, 58, 62, 65, 99, 100, 113, 114, 115, 117, 119, 120, 132], "inherit": [13, 72, 73], "initi": [3, 22, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 62, 64, 65, 94, 95, 96, 97, 98, 114, 117, 121, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "initial_design": [42, 43, 44, 45, 46, 47, 48, 49, 132, 136, 139, 145], "initialdesign": [42, 43], "input": [0, 2, 7, 13, 24, 26, 42, 46, 48, 57, 60, 61, 62, 66, 67, 68, 70, 80, 85, 86, 88, 101, 105, 126, 133], "insid": [1, 13, 21, 134], "instal": 8, "instanc": [2, 3, 7, 8, 13, 14, 18, 19, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 85, 86, 88, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 127, 131, 133, 135, 136, 139, 140, 141, 145, 148], "instance_featur": [16, 18, 66, 67, 68, 69, 70, 78, 86, 88, 89, 120, 121, 123, 140], "instance_seed_budget_kei": [99, 113], "instance_seed_kei": [57, 58], "instance_seed_ord": [42, 46, 48, 57, 59, 62], "instanceseedbudgetkei": [57, 58, 62, 99, 100, 113, 127], "instanceseedkei": [57, 58, 99, 100], "instanti": [3, 7, 13, 42, 43, 45, 99, 100], "instantiat": [72, 73], "instantli": [114, 115, 116, 117], "instead": [3, 7, 15, 18, 20, 21, 64, 72, 73, 132, 134, 139, 141], "instruct": 1, "int": [3, 4, 24, 26, 32, 33, 36, 37, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 125, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145], "integ": [3, 94, 96, 97, 98, 125, 132, 136, 139, 145], "integr": [2, 13, 24, 28, 68, 78, 134, 136], "integratedacquisitionfunct": [24, 28], "intellig": 154, "intend": [114, 117], "intensif": [7, 13, 17, 39, 40, 57, 61, 139], "intensifi": [3, 12, 14, 15, 20, 22, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 65, 114, 115, 116, 117, 121, 133, 134, 135, 136, 139, 141, 144, 145], "intensifier_object": 139, "intenum": [99, 111], "interact": [3, 114, 115], "interest": [57, 58, 62], "interfac": [2, 3, 7, 15, 22, 133], "interleav": [32, 33, 35, 36, 42, 43, 44, 45, 47, 94, 95, 96, 97, 98], "intermedi": 17, "intern": [2, 14, 16, 42, 43, 50, 51, 57, 58, 59, 61, 62, 65, 66, 67, 68, 72, 73, 78, 79, 80, 84, 85, 90, 91, 93, 114, 115, 117, 119, 120, 121, 139], "interpret": [18, 42, 43], "interrupt": 10, "intersect": [57, 58], "interv": 133, "intiti": 64, "intuit": 136, "invalid": 132, "invers": [101, 106], "invit": 3, "involv": [11, 13, 64], "invscal": [139, 140, 145], "io": [50, 56], "ipynb": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "iri": [4, 132], "is_run": [114, 115, 116, 117], "isinst": 132, "isol": [114, 115], "issu": [8, 13, 32, 36, 42, 47, 154], "item": [13, 100, 131, 132, 139, 141], "iter": [7, 13, 19, 32, 33, 35, 36, 37, 39, 40, 42, 43, 45, 47, 57, 58, 61, 64, 90, 91, 93, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 124], "iter_result": [114, 115, 116, 117], "itertool": 140, "its": [7, 13, 16, 19, 21, 68, 72, 73, 78, 99, 113, 114, 115, 116, 117, 131, 132], "j": 6, "jamieson": 6, "jasper": [24, 28], "java": 8, "jdk": [90, 93], "jmlr": [6, 154], "jmlr22a": 154, "job": [21, 114, 117], "job_cl": 21, "job_class": 21, "journal": [32, 34, 154], "json": [99, 113], "judg": [2, 42, 43, 65], "jupyt": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "just": [13, 15, 21, 42, 49, 134], "k": [6, 13, 32, 34, 72, 73, 99, 113, 131, 141, 154], "k1": [72, 73], "k2": [72, 73], "k_gradient": [72, 73], "kakad": 6, "katharina": 154, "keep": [13, 15, 20, 21, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 78, 86, 88, 114, 115, 116, 117, 119], "kei": [15, 18, 42, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62, 99, 100, 113, 127, 148], "kernel": [42, 45, 68, 69, 70, 78, 132], "klein": [68, 70, 78, 80], "know": [0, 1, 12, 72, 73, 131, 133, 141], "know06": [2, 6, 15], "knowl": 6, "knowledg": 136, "known": 7, "kraus": 6, "kwarg": [3, 24, 25, 39, 41, 50, 56, 72, 73, 86, 87, 101, 106, 110, 114, 119, 132], "l": [0, 6], "l1_ratio": 140, "label": [139, 144, 145], "landscap": 6, "languag": 2, "larg": [32, 34, 131], "larger": [32, 34], "last": [68, 78, 132, 135], "lastli": [57, 58], "latest": [8, 57, 58], "latin": [13, 50, 54], "latinhypercub": [50, 54], "latinhypercubeinitialdesign": [50, 54], "launch": [21, 114, 115, 116, 117], "layer": [136, 140, 142, 143, 151, 155], "lbfg": [139, 145], "lcb": [24, 26], "lead": [12, 13], "leaf": [42, 44, 47, 86, 88], "learn": [3, 24, 28, 136, 139, 154], "learning_r": [3, 139, 140, 145], "learning_rate_init": [136, 139, 145], "least": [7, 99, 113, 139], "leav": 136, "left": [10, 24, 27, 42, 43, 72, 73], "legal": 3, "legend": [139, 144, 145], "len": [99, 113, 139], "length": [42, 44, 45, 47, 49, 68, 72, 74, 78, 90, 92], "length_scal": [72, 74, 75, 76], "length_scale_bound": [72, 74, 75, 76], "less": 12, "let": [0, 1, 7, 13, 131, 132, 133, 134, 136, 139, 141, 145, 148], "level": [22, 42, 43, 124, 125], "levelnam": 20, "leyton": 154, "li": [6, 57, 58], "lib": [132, 139], "librari": 22, "like": [0, 1, 13, 18, 19, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 117, 119, 132, 134, 136], "likelihood": [68, 70], "limit": [3, 8, 13, 18, 21, 114, 115, 117, 119, 120], "lindauer": [6, 154], "line": [2, 6, 7, 21, 22, 132], "linear": 132, "linear_model": 140, "linearli": [101, 106, 108, 109, 110], "lineno": 20, "linestyl": 145, "link": 8, "linspac": [131, 141], "linux": [0, 1], "lion": 154, "list": [8, 12, 15, 18, 24, 25, 28, 32, 33, 35, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 90, 91, 92, 93, 94, 95, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 126, 127, 131, 139, 140, 141, 145], "liter": [42, 43, 125], "literatur": 13, "ljdr18": [6, 42, 46], "lnprob": 80, "load": [57, 58, 65, 99, 113, 121, 132], "load_digit": [136, 139, 140, 145], "load_iri": [4, 132], "loc": [79, 81], "local": [3, 13, 21, 32, 36, 37, 42, 43, 44, 45, 47, 65, 114, 115, 117, 119], "local_search_iter": [32, 36, 42, 45, 47], "localandsortedrandomsearch": [24, 31, 32, 36, 42, 44, 45, 47], "localsearch": [32, 36, 37], "locat": [8, 24, 27], "log": [3, 13, 22, 24, 26, 27, 42, 43, 47, 68, 70, 79, 80, 83, 84, 86, 88, 101, 104, 107, 108, 132, 134, 136, 139, 140, 145], "log_i": [86, 88], "log_loss": 140, "logger": [20, 123, 125], "logger_nam": 125, "logging_level": [20, 42, 43, 44, 45, 46, 47, 48, 49, 134], "logic": [13, 57, 61], "logical_or": 140, "login": 21, "logist": [136, 139, 145], "lognormalprior": [79, 83], "long": 13, "longer": [12, 140], "look": [8, 10, 14, 17, 35, 42, 49], "loop": [13, 42, 43, 49, 57, 58, 61, 62, 65, 114, 115, 134], "loss": [90, 91, 92, 93, 114, 119, 140], "lot": [13, 22, 140], "low": [2, 3, 12, 13, 42, 49], "lower": [12, 13, 24, 26, 57, 62, 64, 79, 84, 99, 101, 102, 113, 136], "lower_bound": [79, 84], "lower_budget_st": [101, 102, 104, 105, 107, 108, 109], "lowest": [24, 29, 42, 43, 57, 58, 61, 99, 113], "lr": [139, 145], "lr_init": [139, 145], "luigi": 6, "m": 6, "mac": [1, 8], "machin": [1, 4, 24, 28, 137, 138, 151, 154, 155], "made": 21, "mai": [8, 57, 58], "main": [13, 21, 32, 36, 42, 49, 57, 58, 114, 117, 134, 135, 154], "maintain": 8, "make": [7, 8, 12, 13, 15, 18, 24, 31, 57, 58, 61, 62, 68, 78, 94, 97, 114, 115, 116, 117, 121, 135, 136, 139, 140, 145], "make_serializ": 121, "manag": [114, 117, 121], "mani": [2, 3, 7, 12, 42, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 64, 66, 85, 99, 100, 113, 141], "manner": [42, 43, 44, 45, 47, 49], "mansur": [68, 70, 78, 80], "manual": [42, 43, 114, 117, 136], "map": [72, 73, 99, 113], "margin": [24, 28, 66, 67, 68, 70, 85, 86, 88], "mariu": [6, 154], "mark": [18, 57, 58], "marker": [131, 139, 141, 144, 145], "markov": 7, "markow": [68, 78], "massiv": 2, "master": 0, "match": 18, "materi": 3, "matern": [42, 45, 72, 75], "maternkernel": [72, 75], "math": [24, 31, 80], "mathbb": [24, 27], "mathbf": [24, 26, 27, 30, 31], "mathcal": [24, 31], "mathemat": 13, "matplotlib": [131, 139, 141, 144, 145], "matrix": [16, 66, 67], "matthia": 154, "max": [3, 14, 17, 24, 27, 42, 47, 49, 57, 58, 61, 126, 132, 139, 140, 141, 145], "max_budget": [14, 60, 121, 139, 140, 141], "max_config_cal": [12, 13, 42, 44, 45, 47, 49, 57, 58, 61, 133, 136, 145], "max_depth": [42, 44, 47, 86, 88], "max_incumb": [42, 44, 45, 46, 47, 48, 49, 57, 58, 59, 61, 62], "max_it": [136, 139, 140, 145], "max_iter": 60, "max_nod": [86, 88], "max_prob": [94, 96], "max_ratio": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 148], "max_step": [32, 36, 37], "maxim": [3, 15, 22, 24, 25, 26, 31, 42, 43, 44, 45, 47, 49, 64], "maximum": [32, 36, 37, 42, 44, 45, 47, 49, 57, 58, 60, 61, 65, 86, 88, 94, 96, 97, 121, 132, 141], "mb": [121, 138, 143, 147, 150, 152, 155], "mcmc": [7, 42, 45, 68, 78], "mcmc_sampler": [68, 78], "mcmcgaussianprocess": [42, 45, 68, 78], "mean": [2, 4, 8, 13, 15, 16, 21, 42, 44, 45, 47, 49, 57, 61, 66, 67, 68, 70, 78, 79, 81, 83, 85, 86, 88, 90, 92, 99, 113, 121, 132, 136, 139, 140, 145], "meanaggregationstrategi": [42, 44, 45, 47, 49, 90, 92], "mechan": [7, 114, 115, 139, 154], "medium": 3, "mem": [138, 143, 147, 150, 152, 155], "member": [72, 73], "memori": [8, 42, 43, 65, 114, 115, 117, 119, 121], "memoryout": [101, 102], "mention": [13, 154], "merchant": 9, "messag": 20, "meta": [10, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 101, 102, 114, 115, 119, 120, 121, 131, 135, 141, 148], "metadatacallback": [39, 41], "method": [13, 15, 19, 24, 25, 32, 33, 34, 39, 40, 42, 43, 57, 58, 61, 62, 64, 66, 67, 72, 73, 74, 79, 80, 84, 86, 88, 114, 115, 116, 117, 119, 120, 136, 139, 140, 145], "metric": 7, "metric1": 144, "metric2": 144, "mf": 7, "mffacad": [3, 139, 140], "middl": [50, 53], "might": [0, 1, 12, 13, 17, 21, 57, 58, 61, 72, 73, 99, 113, 114, 115, 116, 117], "min": [17, 126, 139, 140, 141, 145], "min_budget": [14, 60, 121, 139, 140, 141], "min_cost": [99, 113], "min_prob": [94, 96], "min_samples_leaf": [42, 44, 47, 86, 88], "min_samples_split": [42, 44, 47, 86, 88], "min_trial": [13, 64], "mind": 21, "minim": [3, 19, 32, 37, 94, 96], "minimium": 133, "minimum": [7, 32, 34, 42, 44, 47, 60, 86, 88, 99, 113, 121, 131, 135, 141], "minut": [3, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "miro": 153, "miss": [3, 57, 58], "mix": 132, "mixin": [72, 73], "mlp": [136, 139, 140, 145], "mlpclassifi": [136, 139, 145], "mnt": 0, "mo": [57, 58], "mode": 7, "model": [3, 7, 8, 12, 15, 16, 21, 22, 24, 25, 28, 29, 32, 36, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 64, 65, 101, 102, 114, 117, 121, 131, 132, 133, 134, 135, 136, 140, 141, 154], "model_select": [4, 132, 136, 139, 140, 145], "model_typ": [42, 45], "modifi": [9, 21], "modul": [3, 20, 21, 125], "modular": 3, "modulu": [13, 35, 94, 97], "modulus_incr": [94, 97], "modulusrandomdesign": [35, 94, 97], "mont": [7, 68, 78], "more": [1, 3, 7, 12, 13, 15, 19, 22, 42, 48, 57, 58, 61, 114, 115, 117, 132, 144], "moreov": [13, 57, 58, 136], "most": [42, 43, 45, 47, 48, 50, 51, 99, 113, 132, 136, 139], "mostli": 13, "mount": 0, "mous": 3, "move": [94, 96, 99, 113], "mu": [24, 26, 30, 31, 136], "much": [65, 99, 100, 113, 114, 117, 139, 144], "multi": [2, 3, 7, 18, 22, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 60, 61, 62, 65, 90, 91, 92, 93, 99, 100, 101, 102, 113, 114, 119, 120, 121, 136, 140, 141, 143, 144, 145, 155], "multi_object": 145, "multi_objective_algorithm": [15, 42, 43, 44, 45, 46, 47, 48, 49, 99, 101, 102, 113, 144, 145], "multidimension": 13, "multifidelityfacad": [3, 8, 13, 42, 48, 60, 139, 140, 141], "multilayerperceptron": 3, "multiobject": 6, "multiobjectivemodel": [66, 85], "multipl": [2, 7, 8, 13, 14, 15, 21, 24, 29, 42, 43, 50, 51, 66, 85, 99, 113, 121, 136, 142, 143, 145, 151, 155], "multipli": [94, 98, 141], "multivari": [32, 34], "must": [1, 3, 18, 32, 33, 35, 42, 44, 45, 47, 49, 66, 67, 72, 73, 79, 80, 81, 84, 85, 90, 92, 114, 119, 120, 121, 139], "my": [42, 45, 47, 48, 50, 51], "myfloat": 3, "myint": 3, "mypi": [72, 73], "n": [0, 1, 6, 24, 25, 28, 31, 57, 61, 64, 68, 70, 78, 80, 114, 117, 124, 141, 144, 145, 152], "n_config": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 121, 132, 139, 145], "n_configs_in_stag": 60, "n_configs_per_hyperparamet": [42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 139], "n_configs_per_hyperparamt": [42, 45, 47, 48], "n_dim": [72, 73], "n_featur": [72, 73], "n_func": [68, 70], "n_layer": [136, 139, 145], "n_mcmc_walker": [68, 78], "n_neuron": [136, 139, 145], "n_point": [32, 33], "n_points_per_tre": [86, 88], "n_restart": [68, 70], "n_sampl": 80, "n_samples_i": [72, 73], "n_samples_x": [72, 73], "n_seed": [13, 42, 46, 48, 57, 58, 59, 62, 121], "n_split": [136, 139, 140, 145], "n_steps_plateau_walk": [32, 36, 37], "n_tree": [42, 44, 47, 86, 88], "n_trial": [3, 4, 17, 24, 29, 42, 45, 47, 48, 50, 51, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "n_worker": [3, 12, 21, 114, 117, 121, 139, 145], "name": [3, 10, 15, 16, 20, 24, 25, 26, 27, 28, 29, 30, 31, 42, 43, 65, 72, 73, 99, 101, 102, 113, 121, 125, 135], "nanmean": 132, "nardi": 6, "nativ": [13, 21, 57, 62], "natur": [32, 34], "ndarrai": [24, 25, 65, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 101, 102, 104, 105, 106, 107, 108, 109, 110, 123, 140], "necessari": 35, "need": [2, 3, 13, 16, 18, 21, 22, 32, 35, 36, 42, 43, 57, 58, 60, 61, 62, 72, 73, 99, 113, 114, 115, 116, 117, 132, 134, 140, 141], "neg": [24, 29], "neighbor": [32, 37], "neighbour": 13, "neither": [42, 49, 99, 113], "network": [3, 42, 43, 65, 114, 115, 117, 119, 136, 139], "neural": [3, 139], "neural_network": [136, 139, 145], "never": [3, 35], "nevertheless": [8, 114, 117], "new": [7, 8, 10, 13, 21, 35, 39, 40, 42, 49, 57, 58, 61, 62, 64, 99, 113, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "next": [13, 15, 17, 19, 39, 40, 42, 43, 57, 58, 59, 64, 65, 94, 95, 96, 97, 98, 114, 115, 117, 132, 133, 141], "next_config": 64, "next_iter": [32, 33, 94, 95, 96, 97, 98], "nip": [24, 28, 68, 70, 78, 80], "node": [21, 86, 88, 114, 117, 139], "nois": [42, 45], "noise_level": [72, 77], "noise_level_bound": [72, 77], "non": [8, 18, 24, 29, 72, 73, 149, 151], "none": [13, 24, 25, 29, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 131, 132, 133, 134, 135, 139, 140, 141, 144, 145], "noqa": [101, 102], "nor": [42, 49, 99, 113], "normal": [13, 18, 24, 30, 68, 70, 78, 79, 83, 90, 91, 92, 93, 99, 113, 126, 136, 141], "normalfloathyperparamet": 136, "normalize_cost": [13, 126], "normalize_i": [68, 70, 78], "normalized_cost": 126, "normalizedkernelmixin": [72, 74], "notabl": [57, 58], "note": [3, 18, 19, 42, 43, 133], "notebook": [131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "notevaluatederror": 112, "noth": [42, 43, 132], "notic": [42, 48, 121, 144], "novel": [6, 7], "now": [1, 15, 131, 132, 133, 134, 135, 140, 141, 148], "np": [4, 19, 24, 25, 27, 66, 67, 68, 70, 72, 73, 80, 85, 86, 88, 94, 97, 101, 102, 104, 121, 123, 131, 132, 136, 139, 140, 141, 144, 145], "nsga2": 127, "nu": [72, 75], "num_trial": [57, 58, 99, 113], "number": [2, 7, 12, 13, 14, 16, 19, 21, 24, 26, 28, 29, 32, 33, 34, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 86, 88, 90, 92, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 132, 136, 139, 140, 142, 143, 144, 145, 148, 151, 154, 155], "number_of_bracket": 60, "numer": 131, "numpi": [4, 72, 73, 131, 132, 136, 139, 140, 141, 144, 145], "nut": [68, 78], "o": [131, 141, 144], "obj1": 15, "obj2": 15, "object": [2, 3, 4, 7, 16, 18, 19, 22, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 36, 37, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 123, 126, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145, 147, 148, 155], "objective_bound": [13, 99, 113], "objective_weight": [42, 44, 45, 47, 49, 90, 92, 144], "observ": [0, 7, 13, 24, 27, 42, 48, 57, 58, 99, 113, 123], "obtain": [10, 32, 37, 57, 58, 68, 70, 80], "obviou": 21, "obvious": 17, "occupi": 13, "off": [10, 13, 24, 26, 27, 42, 43], "offer": [2, 3, 15, 114, 115], "offici": 1, "often": [7, 8, 12, 13, 15, 16, 32, 34, 42, 49, 57, 58, 64, 133], "old": [10, 42, 43, 65, 135], "omit": [21, 99, 100], "on_ask_end": [39, 40], "on_ask_start": [39, 40], "on_end": [13, 39, 40], "on_iteration_end": [13, 39, 40], "on_iteration_start": [13, 39, 40], "on_next_configurations_end": [39, 40], "on_next_configurations_start": [39, 40], "on_start": [13, 39, 40, 41, 134], "on_tell_end": [39, 40, 134, 135], "on_tell_start": [39, 40], "onc": [1, 13, 21, 32, 37, 42, 46, 48, 49, 57, 62, 136, 139, 145], "one": [2, 7, 8, 11, 12, 15, 18, 19, 21, 35, 42, 43, 49, 57, 58, 60, 61, 62, 68, 78, 99, 101, 106, 108, 109, 110, 113, 114, 115, 116, 117, 120, 121, 131, 133, 135, 136, 140, 141, 144, 145, 148], "ones": [42, 43, 65, 127, 145], "ongo": 8, "onli": [2, 7, 8, 11, 12, 13, 15, 18, 20, 21, 24, 25, 31, 42, 43, 46, 48, 50, 52, 57, 58, 61, 62, 64, 65, 66, 67, 72, 73, 85, 99, 101, 102, 113, 114, 116, 117, 121, 127, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "onlin": [7, 42, 46, 49], "open": 8, "openbox": 2, "opensourc": 9, "oper": [72, 73], "operate_on": [72, 73, 74, 75, 76, 77], "opinion": 136, "opportun": 17, "oppos": [32, 36], "opt": [72, 73, 132, 139], "optim": [2, 3, 4, 6, 7, 8, 13, 17, 19, 20, 21, 22, 24, 26, 28, 29, 31, 32, 33, 34, 36, 39, 40, 41, 42, 43, 49, 57, 58, 60, 65, 68, 70, 78, 80, 90, 91, 94, 97, 121, 131, 132, 133, 134, 136, 137, 138, 139, 140, 141, 144, 145, 148, 149, 151, 154, 155], "optimizt": 136, "optimum": [13, 24, 29, 101, 102, 137, 138, 151, 155], "option": [15, 16, 18, 32, 36, 39, 40, 42, 43, 57, 58, 65, 72, 73, 99, 113, 114, 118, 120, 126, 134, 135], "optuna": 2, "orchestr": 21, "order": [32, 33, 42, 46, 48, 57, 62, 101, 102], "org": [6, 9, 50, 54, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 154], "organ": [42, 43], "origin": [8, 15, 79, 80, 84, 126, 154], "other": [2, 13, 19, 24, 31, 42, 43, 57, 58, 65, 99, 113], "otherwis": [13, 21, 57, 58, 114, 117, 119, 121], "our": [8, 10, 14, 15, 17, 21, 132, 136, 139, 140, 145, 148, 154], "out": [57, 60, 62, 68, 78], "output": [2, 7, 18, 65, 66, 67, 68, 70, 78, 121], "output_directori": [3, 10, 121, 135], "over": [13, 24, 26, 28, 29, 32, 34, 57, 61, 66, 67, 68, 78, 85, 86, 88, 94, 97, 98, 99, 113, 116, 137, 138, 144, 151, 155], "overcom": 8, "overhead": [21, 32, 37], "overlap": [57, 58], "overrid": [72, 73, 131, 135, 141, 148], "overview": 20, "overwrit": [10, 13, 42, 43, 44, 45, 46, 47, 48, 49, 65, 99, 113, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "overwrite_existing_tri": [99, 113], "p": [24, 30, 79, 81], "packag": [8, 132, 139, 154], "page": [3, 20, 22, 154], "pai": 13, "pair": [13, 42, 46, 48, 57, 62, 99, 113, 145], "paper": [6, 24, 28, 154], "paragraph": 13, "parallel": [2, 12, 22, 114, 115, 116, 117, 121], "param": [72, 73], "paramet": [3, 10, 13, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 42, 43, 44, 45, 47, 48, 49, 50, 51, 57, 58, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 132, 133, 136, 139, 140, 141, 148, 154], "parego": [2, 6, 13, 15, 90, 146, 147, 151, 155], "parent": [132, 139, 145], "pareto": [15, 57, 58, 127, 144, 145], "pareto_cost": 145, "pareto_costs_i": 145, "pareto_costs_x": 145, "part": [0, 20, 32, 33, 57, 58], "particular": 9, "pass": [3, 8, 13, 14, 15, 18, 20, 21, 42, 43, 57, 58, 86, 88, 99, 101, 102, 113, 114, 115, 117, 119, 120, 121, 125, 126, 127, 131, 135, 136, 139, 140, 141, 145, 148], "path": [0, 3, 18, 20, 42, 43, 65, 99, 113, 121, 125], "patholog": [24, 29], "patienc": [114, 117], "pattern": [114, 117], "pca": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88], "pca_compon": [42, 44, 66, 67, 68, 69, 70, 78, 86, 88, 89], "pdf": [6, 24, 28, 90, 93], "peak": 3, "penalti": 140, "pend": [114, 115, 116, 117], "per": [24, 27, 42, 45, 47, 48, 50, 51, 60, 86, 88, 99, 101, 104, 113, 133, 136, 141], "percentil": [101, 102], "perceptron": [136, 140, 142, 143, 151, 155], "perform": [2, 3, 7, 8, 13, 14, 18, 32, 36, 37, 42, 43, 44, 46, 47, 48, 49, 57, 58, 62, 65, 86, 88, 99, 113, 114, 115, 121, 125, 140, 154], "perhap": 139, "perspect": [114, 115], "phase": 21, "phi": [24, 30], "pi": [24, 30], "pibo": [24, 29], "pickl": [21, 114, 117], "picklabl": [99, 113], "pictur": 13, "piecewis": [24, 29], "pip": [0, 1], "pipelin": [3, 42, 43], "place": [72, 73, 136], "placehold": 139, "plai": 16, "plateau": [32, 36, 37], "pleas": [0, 1, 2, 3, 8, 9, 10, 13, 14, 17, 18, 21, 24, 31, 42, 49, 57, 58, 99, 113, 132, 134, 154], "plot": [15, 131, 139, 141, 144, 145], "plot_from_smac": 144, "plot_pareto": 145, "plot_trajectori": 139, "plt": [131, 139, 141, 144, 145], "point": [2, 3, 13, 15, 24, 26, 32, 33, 36, 42, 44, 47, 57, 58, 66, 67, 68, 70, 85, 86, 88, 144], "poli": 132, "pop": 132, "popen": [18, 120], "popul": [114, 115, 116, 117], "port": 139, "posit": [90, 93, 114, 115, 117, 119, 120], "posixpath": 121, "possibl": [2, 3, 13, 24, 29, 42, 43, 72, 73, 140], "post": [57, 62, 145], "posterior": [68, 70], "practic": [24, 28, 151], "pre": [2, 16], "precis": [114, 117], "predict": [3, 13, 32, 36, 66, 67, 85, 86, 88], "predict_margin": [66, 67, 85, 86, 88], "preds_as_arrai": 132, "prefer": 8, "prematur": [7, 10, 14], "prepar": [42, 43, 101, 102], "present": [24, 25], "prevent": [72, 73], "previou": [3, 10, 13, 32, 33, 36, 42, 43, 65, 99, 113, 131, 132, 135, 136, 141, 148], "previous_config": [32, 33], "price": [32, 34], "primarili": [72, 73], "print": [13, 18, 57, 60, 62, 65, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "print_config_chang": 123, "print_hyperband_summari": 60, "print_stat": 65, "print_summari": [60, 141], "print_track": [57, 62], "prior": [13, 24, 29, 72, 73, 74, 75, 76, 77, 137, 138, 151, 155], "prior_acqusition_funct": 136, "prior_floor": [24, 29], "prior_sampling_fract": [32, 36], "prioracquisitionfunct": [24, 29, 136], "priorit": 144, "probability_design": 35, "probabilityrandomdesign": [35, 42, 44, 45, 47, 94, 98], "probabl": [3, 13, 21, 24, 30, 42, 44, 45, 47, 79, 80, 84, 94, 96, 98], "problem": [2, 6, 7, 8, 42, 43, 114, 115, 117, 119, 120, 131, 133], "procedur": [114, 117], "proceed": 154, "process": [3, 6, 7, 8, 12, 13, 15, 17, 18, 19, 21, 32, 33, 36, 39, 40, 42, 43, 45, 57, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 80, 114, 115, 117, 119, 120, 121, 131, 134, 139, 140], "produc": [21, 114, 115, 116, 117], "product": [72, 73], "productkernel": [72, 73], "program": [9, 21, 64], "promis": [42, 43, 49], "proper": 21, "properli": 116, "properti": [0, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 101, 102, 113, 114, 115, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "proport": [42, 46, 48, 57, 60, 62], "propos": [68, 78], "proven": 136, "provid": [2, 3, 8, 13, 17, 19, 35, 42, 43, 46, 48, 57, 58, 62, 66, 85, 114, 117, 151], "purpos": [9, 16], "py": [127, 131, 132, 133, 134, 135, 136, 138, 139, 140, 141, 143, 144, 145, 147, 148, 150, 155], "pymoo": 127, "pynish": [8, 21, 114, 119, 121], "pypi": 1, "pyplot": [131, 139, 141, 144, 145], "pyrfr": 8, "python": [0, 1, 2, 8, 18, 35, 68, 70, 78, 80, 114, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "python3": [1, 132, 139, 154], "qmc": [50, 54, 56], "quadrat": [135, 137, 138, 141, 151, 155], "quadraticfunct": [131, 135, 141], "qualiti": 7, "quasi": 13, "queri": [57, 62, 99, 113], "question": 8, "queu": [42, 48], "queue": [13, 57, 61], "r": [24, 27, 32, 34, 145], "race": [7, 42, 46, 49, 57, 58, 61, 139, 154], "race_against": [42, 45, 47], "rais": [8, 21, 101, 102, 136, 139, 145], "ram": [13, 42, 47], "random": [1, 3, 7, 22, 24, 29, 32, 33, 35, 36, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 55, 57, 58, 61, 62, 66, 67, 86, 87, 88, 89, 94, 95, 96, 97, 98, 121, 132, 136, 139, 145, 154], "random_design": [32, 33, 35, 42, 43, 44, 45, 46, 47, 48, 49], "random_forest": 132, "random_st": [4, 132, 136, 139, 140, 145], "randomdesign": [42, 43], "randomfacad": [3, 42, 46, 49], "randomforest": [42, 44, 47, 86, 88], "randominitialdesign": [42, 48, 50, 55], "randomli": [32, 36, 42, 43, 49], "randommodel": [42, 49, 66, 89], "randomsearch": [24, 31, 32, 38, 42, 49], "rang": [3, 90, 91, 92, 93, 132, 133, 136, 139, 140], "rate": [3, 136, 139], "rather": 80, "ratio": [32, 36, 42, 44, 47, 86, 88], "ratio_featur": [42, 44, 47, 86, 88], "raw": 0, "rbf": [72, 76, 132], "rbfkernel": [72, 76], "re": [99, 113], "reach": [19, 64, 94, 97, 135], "react": 22, "read": [1, 10, 22, 99, 113, 135], "readi": 21, "real": [14, 42, 43, 65, 114, 115, 117, 119, 120], "realli": [114, 115], "reason": [14, 72, 73, 121], "receiv": [9, 13, 15, 18, 64, 99, 113, 114, 117], "recent": 132, "recip": 15, "recogn": 13, "recommend": [1, 8, 12, 13, 18, 22], "recurs": [124, 132], "recursionerror": 132, "recursively_compare_dict": 124, "red": [131, 141, 144, 145], "redistribut": 9, "reduc": [32, 35, 37, 42, 44, 47, 66, 67, 68, 69, 70, 78, 86, 88, 114, 117, 139, 148], "refer": [7, 8, 13, 14, 42, 48, 50, 54, 56, 57, 58, 154], "regard": [42, 43, 65], "regardless": [42, 46, 48, 57, 62], "regist": [17, 65], "register_callback": 65, "regret": 6, "reimplement": 8, "reject": [42, 49, 57, 58, 61, 131, 133, 135, 136, 139, 140, 141, 145, 148], "rel": 136, "relat": [72, 73], "releas": 8, "relev": [42, 43, 65], "relu": [136, 139, 145], "remain": [13, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "remaining_cputim": 65, "remaining_tri": 65, "remaining_walltim": 65, "remov": [8, 24, 29, 32, 36, 57, 61, 120, 144, 145], "renam": [10, 42, 43], "ren\u00e9": 154, "repeat": [13, 132], "replac": [42, 49, 57, 58, 114, 119, 139], "report": [8, 17], "repres": [114, 115, 117, 119, 120, 125, 140, 154], "represent": [101, 102], "reproduc": [8, 21, 22, 121], "request": [13, 135], "requeu": [57, 58], "requir": [0, 3, 8, 13, 14, 21, 24, 25, 29, 31, 32, 34, 57, 62, 64, 86, 88, 99, 113, 114, 115, 119, 120, 121, 140], "required_argu": [114, 115, 116, 119, 120], "research": 154, "reset": [57, 58, 59, 61, 62, 65, 99, 113], "resolv": 8, "resourc": [0, 21, 114, 117, 119], "respect": [10, 72, 73, 79, 80, 84, 121], "respons": [13, 42, 43, 101, 102, 104, 106, 107, 108, 109, 110], "restart": [68, 70, 94, 96], "restart_iter": [94, 96], "restor": [10, 57, 58, 59, 61, 62], "restrict": 139, "result": [0, 2, 3, 10, 13, 17, 42, 43, 57, 58, 65, 114, 115, 116, 117, 119, 120, 121, 131, 132, 135, 139, 141, 148], "retrain": [12, 64], "retrain_aft": [12, 13, 42, 43, 45, 64], "retri": [42, 43, 45, 57, 61, 64], "retriev": [57, 58, 140], "return": [3, 4, 7, 13, 15, 22, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "reveal": 3, "rf": [7, 24, 29], "rfacad": 3, "rho": [90, 93], "rid": [57, 62], "right": [15, 18, 24, 27, 72, 73], "roar": [7, 42, 46, 49], "robin": [42, 43, 65, 114, 115, 117, 119], "robo": [68, 70, 78, 80], "robust": [2, 68, 70, 78, 80], "role": 16, "root": [8, 20, 101, 110, 124], "rosenbrock": 133, "rosenbrock2d": [133, 134], "rostamizadeh": 6, "roughli": [42, 43, 65, 114, 115, 117, 119], "round": [42, 43, 46, 48, 57, 60, 62, 65, 114, 115, 117, 119, 141], "rtype": 123, "ruhkopf": 154, "run": [3, 7, 8, 10, 12, 13, 14, 15, 18, 19, 22, 39, 40, 42, 43, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 99, 113, 114, 115, 116, 117, 118, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "run_wrapp": [114, 115, 117], "runhistori": [3, 22, 39, 40, 42, 43, 44, 45, 47, 48, 49, 57, 58, 61, 62, 64, 65, 127, 131, 133, 134, 135, 141, 144, 145], "runhistory_encod": [42, 43, 44, 45, 46, 47, 48, 49], "runhistoryeipsencod": [101, 104], "runhistoryencod": [42, 43, 44, 45, 49, 101, 105, 106, 107, 108, 109, 110], "runhistoryinversescaledencod": [101, 106], "runhistorylogencod": [101, 107], "runhistorylogscaledencod": [42, 47, 101, 108], "runhistoryscaledencod": [101, 109], "runhistorysqrtscaledencod": [101, 110], "runinfo": [13, 114, 115, 117], "runner": [8, 13, 65, 132, 134], "runtim": [2, 18, 19, 21, 24, 27, 65, 101, 104, 114, 115, 117, 119, 120], "runtimeerror": [21, 112], "runtimewarn": 132, "runvalu": 13, "rval": 132, "sai": 7, "same": [8, 13, 42, 44, 45, 46, 47, 48, 49, 57, 61, 62, 90, 92, 99, 113, 126, 135], "sampl": [2, 13, 15, 16, 24, 31, 32, 33, 35, 36, 38, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 61, 62, 64, 66, 67, 68, 70, 78, 80, 85, 86, 88, 121], "sample_from_prior": 80, "sample_funct": [68, 70], "sampler": [68, 78], "saniti": 13, "sass": 154, "satisfi": [3, 13], "save": [3, 13, 42, 43, 57, 58, 65, 99, 113, 121], "scalar": [2, 13, 15, 42, 43, 80, 99, 113], "scale": [42, 47, 72, 74, 79, 80, 81, 82, 84, 101, 102, 106, 108, 109, 110, 132], "scale_percentag": [101, 102, 104, 105, 107, 108, 109], "scaral": [99, 113], "scatter": [42, 43, 65, 114, 115, 117, 119, 131, 139, 141, 144, 145], "scenario": [4, 10, 12, 14, 15, 16, 17, 18, 19, 21, 24, 29, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 64, 65, 90, 92, 93, 101, 102, 104, 105, 107, 108, 109, 114, 115, 116, 119, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "schaffer": [146, 147, 151, 155], "schedul": [21, 94, 96], "scheme": [32, 33, 114, 115], "scipi": [32, 34, 50, 54, 56], "score": [4, 132, 136, 139, 140, 145], "scrambl": [50, 56], "scratch": [99, 113], "screenshot": 8, "script": [18, 21, 42, 43, 120, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 149, 150, 151, 155], "scrollabl": 3, "search": [3, 13, 24, 29, 32, 34, 36, 37, 42, 44, 45, 47, 49, 133], "second": [24, 27, 35, 101, 104, 114, 117, 119, 121, 124, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "section": 13, "see": [3, 7, 8, 9, 13, 14, 21, 24, 28, 29, 50, 54, 56, 57, 59, 99, 113, 144], "seed": [3, 4, 7, 8, 10, 13, 18, 19, 32, 33, 34, 36, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 61, 62, 65, 66, 67, 68, 69, 70, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 89, 90, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 107, 108, 109, 113, 114, 115, 117, 119, 120, 121, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "seeger": 6, "seen": [24, 26], "segment": 0, "select": [7, 13, 42, 43, 46, 48, 49, 50, 51, 53, 57, 62, 64, 99, 113, 114, 115, 145], "select_configur": [50, 51], "selector": [22, 42, 43, 45, 57, 58, 64], "self": [3, 13, 32, 33, 57, 58, 66, 67, 68, 72, 73, 78, 79, 80, 84, 94, 96, 99, 113, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "semant": [32, 33, 99, 113], "semanticscholar": 6, "semicolon": 18, "separ": [18, 42, 43, 120], "sequenc": [13, 50, 56], "sequenti": [7, 8, 154], "serial": [42, 43, 65, 114, 115, 116, 117, 119], "serializ": 121, "serv": 133, "server": 139, "set": [1, 2, 6, 8, 10, 13, 18, 19, 42, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 61, 62, 65, 94, 96, 98, 99, 113, 114, 119, 121, 125, 126, 132, 135, 136, 144, 145, 148], "set_stat": [57, 58, 59, 61, 62], "setup": [8, 10, 42, 43, 49, 65, 125, 141], "setup_log": 125, "sever": [2, 35, 39, 40, 151], "sgd": [136, 139, 140, 145], "sgdclassifi": 140, "sh": [18, 148], "shape": [72, 73, 79, 81], "share": [42, 43, 65, 114, 115, 117, 119], "shortli": 13, "should": [8, 9, 13, 18, 20, 24, 25, 35, 42, 43, 44, 45, 47, 49, 57, 58, 60, 61, 64, 65, 66, 72, 73, 85, 94, 95, 96, 97, 98, 121, 127, 131, 133], "show": [3, 8, 13, 15, 18, 20, 120, 131, 133, 139, 141, 144, 145, 148, 151], "shown": [144, 145], "shrink": 132, "shuffl": [42, 46, 48, 57, 58, 61, 62, 136, 139, 140, 145], "shuffle_onc": [42, 46, 48, 57, 59, 62], "shut": 135, "sigma": [24, 26, 30, 31, 79, 83, 136], "sigmoid": 132, "silent": 21, "similar": 136, "simpl": [3, 7, 13, 20, 32, 34, 132, 135, 144, 148], "simpli": [14, 15, 42, 49, 57, 62, 148], "simplifi": [114, 115], "sinc": [8, 13, 15, 18, 19, 22, 42, 49, 57, 58, 139, 144, 145], "singl": [7, 12, 13, 15, 18, 42, 44, 47, 49, 57, 58, 66, 85, 86, 88, 90, 91, 92, 93, 99, 113, 114, 115, 116, 117, 120, 139, 141], "single_work": [114, 117], "site": [132, 139], "situat": [57, 58], "size": [7, 121, 124, 136, 139], "skew": 136, "skks10": [6, 24, 26], "sklearn": [4, 72, 73, 132, 136, 139, 140, 145], "slice": 132, "slightli": 8, "slower": 12, "slurm": 21, "slurmclust": 21, "smac": [0, 1, 2, 3, 4, 7, 8, 10, 12, 13, 15, 17, 18, 19, 20, 21, 22, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "smac2": [8, 86, 88, 135], "smac3": [0, 1, 8, 132, 134, 154], "smac3_output": 121, "small": [90, 93], "smaller": [3, 42, 48, 86, 88, 123], "smbo": [7, 13, 39, 40, 41, 42, 43, 90, 91, 93, 94, 95, 96, 97, 98, 114, 115, 116, 117, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "snoek": [24, 28, 68, 78], "so": [7, 10, 13, 19, 24, 26, 27, 42, 43, 46, 48, 57, 62, 65, 100, 114, 115, 116, 117, 134, 135, 136, 139], "sobol": [3, 13, 42, 45, 47, 50, 56], "sobolinitialdesign": [42, 45, 47, 50, 56], "soft": [79, 84], "softtophatprior": [79, 84], "softwar": [0, 9], "solid": [24, 29, 136], "solut": [7, 8, 32, 34, 38], "solv": 2, "solver": [136, 139, 145], "some": [3, 21, 22, 57, 61, 72, 73, 101, 102, 134], "someth": [3, 13, 18], "sometim": [20, 21], "sort": [3, 13, 32, 36, 42, 44, 45, 47, 57, 58, 99, 113, 127, 145], "sort_bi": [57, 58, 99, 113], "sort_by_crowding_dist": 127, "sorted_list": 127, "sourc": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151], "souza": 6, "space": [2, 13, 18, 24, 26, 27, 29, 32, 34, 42, 45, 47, 48, 49, 50, 51, 79, 80, 84, 120, 121, 131, 132, 136, 139, 140], "spawn": [21, 121], "speak": [42, 43, 65, 114, 115, 117, 119], "spearmint": [79, 82, 84], "speci": 3, "special": [57, 58], "specif": [3, 8, 12, 13, 15, 20, 24, 25, 42, 43, 57, 58, 72, 73, 86, 88, 101, 104, 140], "specifi": [3, 4, 10, 15, 17, 20, 21, 32, 33, 42, 43, 57, 58, 60, 62, 65, 66, 67, 68, 70, 72, 73, 79, 83, 121, 123, 131, 134, 135, 139, 142, 143, 148, 151, 155], "speed": 2, "spend": [13, 65], "split": [42, 44, 47, 86, 88, 136, 139, 140, 145], "sqrt": [24, 26, 144], "squar": [101, 110, 144], "sriniva": 6, "stabl": 8, "stage": [14, 39, 40, 57, 62, 134, 139, 140, 141], "standard": [18, 19, 24, 30, 66, 67, 79, 83, 136, 141], "start": [13, 17, 21, 22, 39, 40, 41, 42, 43, 57, 58, 68, 78, 90, 91, 93, 114, 117, 134, 139, 140, 141, 145], "start_modulu": [94, 97], "start_tim": 145, "starttim": [13, 99, 100, 113], "stat": [39, 40, 50, 54, 56, 65, 135], "state": [10, 13, 57, 58, 59, 61, 62, 90, 91, 93, 94, 96, 97, 98, 99, 101, 102, 113, 132], "statement": [72, 73], "static": [42, 43, 44, 45, 46, 47, 48, 49, 121], "stationarykernelmixin": [72, 74], "statist": [13, 65], "statu": [13, 18, 42, 43, 57, 58, 99, 100, 111, 113, 114, 115, 117, 119, 120], "statustyp": [18, 99, 100, 101, 102, 111, 113, 114, 115, 117, 119, 120], "std": [66, 67], "stdout": [18, 20], "step": [13, 32, 36, 37, 57, 62, 68, 78, 116, 145], "stick": 136, "still": [8, 10, 13, 15, 18, 21, 99, 113, 114, 115, 116, 117, 133], "stochast": [32, 34, 142, 143, 151, 155], "stoll": 6, "stop": [13, 22, 39, 40, 64, 121, 134, 135, 139, 145], "stop_aft": 135, "stopcallback": 135, "store": [65, 99, 113, 139], "storn": [32, 34], "str": [24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 36, 37, 42, 43, 45, 46, 48, 50, 51, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 74, 78, 79, 80, 81, 82, 83, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 113, 114, 115, 117, 119, 120, 121, 123, 124, 132, 140, 144, 145], "straight": 13, "strategi": [2, 7, 15, 42, 43, 44, 45, 47, 49, 50, 51, 90, 91], "stratifiedkfold": [136, 139, 140, 145], "stream": 20, "streamhandl": 20, "strict": 1, "string": [18, 42, 43, 120, 124], "strongli": 22, "stuck": 13, "sub": [101, 102], "subclass": [32, 33, 42, 43, 72, 73], "submiss": [114, 115], "submit": [13, 99, 113, 114, 115, 116, 117], "submit_command": 21, "submit_run": [114, 115, 117], "submit_tri": [114, 115, 116, 117], "subobject": [72, 73], "subprocess": [21, 120], "subset": [7, 14, 16, 99, 113, 121, 140], "subsystem": [0, 1], "subtract": [65, 132], "succes": [57, 62], "success": [0, 7, 14, 17, 18, 42, 46, 48, 57, 60, 62, 99, 100, 101, 102, 113, 120, 139, 140, 141], "successive_halv": [139, 140, 141], "successivehalv": [3, 57, 59, 62, 139], "sudo": 0, "suffici": [57, 58], "suggest": [0, 1, 114, 118], "suit": [42, 43], "sum": [72, 73, 99, 113], "sum_cost": [99, 113], "sumkernel": [72, 73], "summari": 60, "super": [72, 73], "superclass": [72, 73], "superior": 7, "support": [2, 3, 4, 13, 21, 42, 44, 46, 48, 57, 58, 61, 62, 72, 73, 137, 138, 151, 155], "sure": [8, 13, 15, 18, 68, 78, 94, 97, 114, 115, 117, 118, 135], "surrog": [3, 15, 16, 21, 22, 24, 25, 29, 39, 40, 42, 43, 44, 45, 47, 49, 64, 66, 67, 85, 101, 102, 121, 131, 132], "svc": [4, 132], "svm": [4, 132], "swig": [0, 1], "sy": 20, "system": 1, "t": [1, 3, 8, 24, 26, 27, 30, 31, 72, 73, 135], "ta": 65, "tabl": [2, 3, 20], "take": [3, 8, 12, 13, 17, 42, 43, 66, 67, 86, 88, 114, 117, 139], "taken": [13, 32, 36, 101, 102, 127], "talwalkar": 6, "tanh": [136, 139, 145], "target": [4, 7, 8, 12, 14, 15, 21, 22, 42, 43, 65, 66, 67, 86, 88, 99, 113, 114, 115, 117, 118, 119, 120, 121, 131, 132, 135, 136, 139, 140, 141, 145, 149, 150, 151, 155], "target_funct": [3, 18, 42, 43, 44, 45, 46, 47, 48, 49, 114, 119, 120, 132, 144], "target_function_runn": [132, 145], "target_nam": 140, "targetalgorithmabortexcept": [114, 118], "targetfunctionrunn": [114, 119], "targetfunctionscriptrunn": [42, 43, 120], "task": [114, 116, 117, 121, 136], "techniqu": [13, 32, 34], "tell": [3, 13, 22, 42, 43, 57, 62, 65, 137, 138, 151, 155], "temporarili": 2, "term": [9, 141], "termin": [22, 32, 36, 37, 114, 117], "termination_cost_threshold": [19, 121], "test": [0, 1, 18, 66, 67, 68, 70, 99, 113, 120, 154], "text": [24, 26], "th": [94, 95, 96, 97, 98], "than": [7, 12, 32, 34, 42, 48, 49, 57, 58, 61, 65, 79, 80, 81, 86, 88, 121, 131, 133, 135, 136, 139, 140, 141, 144, 145, 148], "thei": [3, 13, 17, 57, 61, 64], "them": [7, 13, 101, 106, 108, 109, 110, 114, 117, 139, 145], "theoret": [99, 113], "therebi": [7, 14], "therefor": [1, 3, 7, 13, 42, 49, 72, 73, 121, 139, 145], "theta": [79, 80, 84], "thi": [0, 1, 2, 3, 8, 9, 13, 15, 16, 20, 21, 22, 24, 25, 32, 33, 36, 39, 40, 42, 43, 45, 47, 48, 49, 50, 51, 57, 58, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 74, 78, 79, 80, 84, 86, 88, 94, 95, 97, 99, 100, 113, 114, 115, 116, 117, 118, 119, 121, 123, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 149, 151, 154], "thing": 22, "thompson": [13, 24], "those": [10, 16], "thread": [12, 13, 21, 57, 58], "three": 64, "threshold": [22, 121], "throughout": 13, "thu": [8, 16, 136], "tim": 154, "time": [3, 8, 11, 12, 13, 17, 19, 35, 42, 43, 49, 57, 58, 65, 94, 97, 98, 99, 100, 113, 114, 115, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "timeout": 13, "titl": [139, 144, 145, 154], "togeth": [21, 24, 31, 42, 49, 57, 62], "toi": 133, "tolist": 145, "too": [131, 141], "took": [114, 115, 117, 119, 120], "tool": [2, 8, 154], "top": [42, 43], "tophat": [79, 84], "tophatprior": [79, 84], "total": [60, 86, 88, 114, 117, 131, 132, 133, 134, 135, 136, 138, 139, 140, 142, 143, 144, 145, 147, 148, 150, 151, 152, 155], "total_budget": [60, 141], "toward": 136, "traceback": 132, "track": [13, 42, 43, 44, 45, 46, 47, 48, 49, 57, 58, 61, 62], "tracker": [8, 13, 57, 59, 62], "trade": [13, 24, 26, 27, 42, 43], "tradeoff": [24, 26], "trail_walltime_limit": 21, "train": [3, 4, 7, 13, 15, 16, 21, 39, 40, 42, 43, 47, 57, 58, 64, 66, 67, 68, 69, 70, 78, 86, 88, 101, 102, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 145], "trajectori": [57, 58, 100, 139], "trajectoryitem": [57, 58, 100], "transform": [7, 13, 42, 43, 80, 86, 88, 90, 91, 92, 93, 101, 102, 104, 106, 107, 108, 109, 110, 140], "transform_response_valu": [101, 102, 104, 105, 106, 107, 108, 109, 110], "transformed_valu": [101, 102], "translat": [114, 115], "treat": 132, "tree": [42, 44, 47, 86, 88], "tri": 3, "trial": [3, 7, 13, 17, 19, 21, 39, 40, 42, 43, 57, 58, 60, 61, 62, 64, 65, 99, 100, 101, 102, 113, 114, 115, 116, 117, 119, 120, 121, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "trial_info": [13, 114, 115, 116, 117], "trial_memory_limit": [21, 121], "trial_valu": 13, "trial_walltime_limit": 121, "trialinfo": [42, 43, 57, 58, 61, 62, 65, 99, 100, 113, 114, 115, 116, 117, 134, 135], "trialkei": [99, 100, 113], "trials_count": 134, "trials_us": 60, "trialvalu": [42, 43, 65, 99, 100, 113, 114, 115, 116, 117, 133, 134, 135], "trigger": [24, 29, 114, 118, 134], "true": [4, 10, 42, 43, 44, 47, 48, 60, 65, 68, 70, 72, 73, 78, 86, 88, 99, 113, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "trust": 7, "truth": [131, 141], "try": [3, 8, 42, 47, 140], "tunabl": 3, "tune": [3, 32, 37, 68, 78, 136], "tupl": [66, 67, 72, 73, 85, 86, 88, 99, 101, 102, 113, 114, 115, 116, 117, 119, 120, 123, 126, 140, 144], "twice": [13, 144], "two": [3, 13, 64, 86, 88, 123, 140, 145, 154], "txt": 0, "type": [18, 24, 25, 26, 27, 28, 32, 33, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 70, 72, 73, 79, 80, 84, 85, 86, 88, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 121, 123, 124, 125, 126, 127, 131, 132, 136, 139, 140, 141, 144], "typeerror": [101, 102], "typic": [2, 141], "u": [0, 1, 8], "ubuntu": 0, "uk": [90, 93], "ukci": [90, 93], "un": 13, "uncertainti": [86, 88], "under": [0, 1, 9], "underli": [12, 16], "understand": 3, "uniform": [3, 32, 36, 136], "uniform_configspac": [32, 36], "uniformintegerhyperparamet": 136, "uniformli": [7, 42, 49], "unit": [60, 68, 70, 78, 136, 141], "unpromis": [42, 49], "unsuit": 2, "until": [13, 114, 115, 116, 117, 135], "up": [2, 13, 57, 62, 64, 99, 113, 125, 131, 141], "updat": [0, 1, 13, 18, 24, 25, 39, 40, 42, 43, 49, 57, 58, 65, 90, 91, 93, 99, 113, 135], "update_acquisition_funct": 65, "update_cost": [99, 113], "update_from_json": [99, 113], "update_incumb": [57, 58, 62], "update_model": 65, "update_on_iteration_start": [13, 90, 91, 93], "upon": [42, 43, 114, 117], "upper": [79, 84, 99, 113, 136], "upper_bound": [79, 84], "url": 154, "us": [1, 2, 3, 4, 7, 8, 9, 11, 13, 14, 15, 16, 18, 19, 21, 24, 25, 29, 31, 32, 33, 34, 35, 36, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 57, 58, 59, 60, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 79, 80, 82, 84, 85, 86, 88, 94, 96, 97, 98, 99, 100, 101, 102, 106, 107, 108, 110, 113, 114, 115, 117, 119, 120, 121, 123, 124, 125, 131, 132, 133, 134, 135, 136, 140, 141, 142, 143, 144, 145, 148, 149, 151, 154, 155], "use_batch_s": [139, 145], "use_coef": 132, "use_default_config": 121, "use_degre": 132, "use_gamma": 132, "use_gamma_valu": 132, "use_lr": [139, 145], "use_lr_init": [139, 145], "used_target_function_walltim": 65, "used_walltim": [57, 58, 65], "user": [0, 6, 10, 12, 13, 17, 18, 19, 20, 24, 29, 32, 36, 42, 43, 46, 48, 57, 61, 62, 65, 114, 115, 117, 119, 137, 138, 151, 155], "userwarn": 139, "uses_budget": [13, 57, 58, 61, 62], "uses_inst": [13, 57, 58, 61, 62], "uses_se": [13, 57, 58, 61, 62], "usr": 18, "usual": [7, 114, 118], "v": [18, 99, 113, 114, 117, 131, 140, 141, 148], "v1": [2, 18], "v18": 6, "v2": [2, 8, 17, 18], "v23": 154, "valid": [2, 3, 7, 42, 43, 57, 58, 62, 65, 66, 67, 121, 131, 133, 135, 136, 137, 138, 139, 140, 141, 144, 145, 148, 151, 155], "valu": [3, 13, 14, 15, 18, 19, 24, 25, 26, 27, 28, 29, 31, 39, 40, 42, 43, 49, 65, 66, 67, 68, 70, 72, 73, 78, 80, 86, 88, 89, 90, 91, 92, 93, 94, 97, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 119, 120, 123, 126, 131, 132, 133, 134, 135, 136, 139, 141, 145, 148], "vanilla": [42, 45], "var": [66, 67, 85, 86, 88, 121, 140], "variabl": [0, 3, 18, 57, 58, 59, 61, 62, 65, 121, 136, 139, 145], "varianc": [13, 66, 67, 68, 70, 78, 85, 86, 88, 140], "varieti": 151, "variou": [3, 42, 43], "vector": [4, 32, 37, 101, 102, 137, 138, 151, 155], "vectorization_max_obtain": [32, 37], "vectorization_min_obtain": [32, 37], "veri": [42, 43, 49, 57, 58, 65, 114, 115, 117, 119], "versatil": 154, "version": [0, 1, 3, 8, 13, 19, 20, 32, 36], "very_small_numb": 132, "via": [13, 15, 21, 32, 34, 36, 38, 114, 115, 117, 131, 132, 133, 134, 135, 136, 139, 140, 142, 143, 144, 145, 148, 151, 155], "virtu": 139, "visit": 154, "volum": 154, "vstack": 145, "wa": [0, 10, 13, 19, 24, 25, 57, 62, 64, 65, 99, 113, 114, 117, 135], "wai": [3, 20, 57, 58, 134], "wait": [13, 57, 58, 114, 115, 116, 117], "walk": [32, 36, 37], "walker": [68, 78], "wall": [114, 119], "wallclock": [11, 13, 17, 19, 57, 58, 65, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "walltim": [65, 100, 139], "walltime_limit": [3, 121, 139, 140, 145], "want": [3, 7, 8, 10, 13, 15, 16, 20, 22, 24, 31, 42, 49, 132, 135, 136, 139, 140, 141, 145, 149, 151, 154], "warm": [42, 43], "warn": [20, 99, 113, 132, 136, 139, 140, 145], "warranti": 9, "we": [1, 3, 7, 8, 13, 15, 16, 18, 22, 24, 31, 32, 33, 42, 43, 49, 57, 58, 62, 64, 65, 68, 78, 80, 114, 115, 117, 119, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148, 151, 154], "weight": [7, 13, 24, 29, 32, 36, 42, 44, 45, 47, 49, 90, 92, 99, 113, 136, 146, 147, 151, 155], "well": [2, 13, 17, 24, 29, 114, 115, 132, 133, 136], "were": [13, 57, 58, 151], "what": [3, 8, 66, 67, 114, 115, 117], "when": [7, 13, 14, 17, 21, 42, 43, 44, 46, 48, 49, 57, 58, 59, 61, 62, 64, 65, 66, 67, 68, 69, 70, 72, 73, 78, 86, 88, 114, 115, 117, 119, 121, 125, 139], "whenev": 80, "where": [3, 7, 8, 10, 13, 24, 25, 29, 32, 36, 42, 49, 140, 145], "wherea": 14, "whether": [10, 13, 24, 27, 29, 42, 43, 57, 58, 65, 72, 73, 94, 95, 96, 97, 98, 99, 113, 114, 115, 116, 117, 121, 135], "which": [3, 7, 8, 13, 15, 18, 20, 21, 24, 25, 35, 42, 43, 44, 45, 49, 50, 51, 57, 58, 61, 62, 65, 66, 67, 68, 69, 70, 72, 73, 78, 85, 86, 88, 89, 94, 96, 98, 99, 113, 114, 115, 116, 117, 119, 120, 121, 127, 132, 133, 136, 139, 140, 154], "while": [13, 57, 58, 61, 62, 132], "white": [18, 42, 45, 72, 77, 120], "whitekernel": [72, 77], "whole": [66, 67], "why": [8, 14], "wide": [132, 136], "wider": 136, "wih": 18, "within": [2, 64, 114, 117], "without": [3, 9, 24, 27, 35], "wlog": 140, "won": [72, 73], "word": [7, 13, 19], "work": [0, 1, 7, 8, 13, 14, 16, 21, 22, 114, 117, 131, 132, 134, 145], "worker": [3, 11, 12, 13, 21, 114, 115, 116, 117, 121, 139], "workflow": 0, "workshop": [68, 70, 78, 80], "world": 14, "worri": 3, "worth": 13, "would": [0, 1, 3, 13, 42, 43, 65, 114, 115, 117, 119, 141], "wrap": [114, 117], "wrapper": [13, 66, 85, 114, 115, 116, 117], "written": [1, 57, 58, 154], "wrt": [99, 113], "www": [6, 90, 93], "x": [16, 24, 25, 26, 27, 30, 31, 66, 67, 68, 69, 70, 72, 73, 78, 79, 81, 85, 86, 88, 101, 102, 123, 131, 133, 135, 139, 141, 144, 145], "x0": [133, 134, 148], "x1": [133, 134], "x2": [133, 134], "x64": [132, 139], "x86_64": 0, "x_i": 133, "x_test": [68, 70], "xarg": 0, "xi": [24, 27, 30, 31, 42, 44, 45, 47, 131, 141], "xlabel": [139, 144, 145], "y": [66, 67, 72, 73, 86, 88, 101, 102, 123, 131, 135, 139, 141], "yaml": [20, 42, 43], "year": 154, "yet": [1, 8, 57, 62, 131, 132, 133, 135, 136, 139, 140, 141, 144, 145, 148], "yield": [13, 57, 62, 64], "ylabel": [139, 144, 145], "ylim": 139, "yml": [42, 43], "you": [0, 1, 2, 3, 7, 8, 9, 10, 12, 13, 14, 15, 16, 18, 20, 21, 22, 42, 43, 47, 49, 68, 78, 114, 117, 121, 132, 134, 136, 139, 141, 144, 149, 151, 154], "your": [0, 1, 2, 3, 7, 8, 15, 16, 18, 20, 21, 22, 42, 43, 65, 114, 115, 117, 119, 121, 131, 132, 133, 134, 135, 136, 139, 140, 141, 144, 145, 148], "your_output_directori": 3, "zero": [68, 70, 78, 101, 106, 108, 109, 110, 133], "zip": 151, "zorder": [131, 141, 144], "\u03b8": [42, 49], "\u03c0bo": 6}, "titles": ["Experimental", "Installation", "Package Overview", "Getting Started", "Minimal Example", "API References", "References", "Glossary", "F.A.Q.", "License", "Continue", "Reproducibility", "Optimizations", "Components", "Multi-Fidelity Optimization", "Multi-Objective Optimization", "Optimization across Instances", "Ask-and-Tell Interface", "Command-Line Interface", "Stopping Criteria", "Logging", "Parallelism", "Advanced Usage", "smac.acquisition", "smac.acquisition.function", "smac.acquisition.function.abstract_acquisition_function", "smac.acquisition.function.confidence_bound", "smac.acquisition.function.expected_improvement", "smac.acquisition.function.integrated_acquisition_function", "smac.acquisition.function.prior_acqusition_function", "smac.acquisition.function.probability_improvement", "smac.acquisition.function.thompson", "smac.acquisition.maximizer", "smac.acquisition.maximizer.abstract_acqusition_maximizer", "smac.acquisition.maximizer.differential_evolution", "smac.acquisition.maximizer.helpers", "smac.acquisition.maximizer.local_and_random_search", "smac.acquisition.maximizer.local_search", "smac.acquisition.maximizer.random_search", "smac.callback", "smac.callback.callback", "smac.callback.metadata_callback", "smac.facade", "smac.facade.abstract_facade", "smac.facade.algorithm_configuration_facade", "smac.facade.blackbox_facade", "smac.facade.hyperband_facade", "smac.facade.hyperparameter_optimization_facade", "smac.facade.multi_fidelity_facade", "smac.facade.random_facade", "smac.initial_design", "smac.initial_design.abstract_initial_design", "smac.initial_design.default_design", "smac.initial_design.factorial_design", "smac.initial_design.latin_hypercube_design", "smac.initial_design.random_design", "smac.initial_design.sobol_design", "smac.intensifier", "smac.intensifier.abstract_intensifier", "smac.intensifier.hyperband", "smac.intensifier.hyperband_utils", "smac.intensifier.intensifier", "smac.intensifier.successive_halving", "smac.main", "smac.main.config_selector", "smac.main.smbo", "smac.model", "smac.model.abstract_model", "smac.model.gaussian_process", "smac.model.gaussian_process.abstract_gaussian_process", "smac.model.gaussian_process.gaussian_process", "smac.model.gaussian_process.gpytorch_gaussian_process", "smac.model.gaussian_process.kernels", "smac.model.gaussian_process.kernels.base_kernels", "smac.model.gaussian_process.kernels.hamming_kernel", "smac.model.gaussian_process.kernels.matern_kernel", "smac.model.gaussian_process.kernels.rbf_kernel", "smac.model.gaussian_process.kernels.white_kernel", "smac.model.gaussian_process.mcmc_gaussian_process", "smac.model.gaussian_process.priors", "smac.model.gaussian_process.priors.abstract_prior", "smac.model.gaussian_process.priors.gamma_prior", "smac.model.gaussian_process.priors.horseshoe_prior", "smac.model.gaussian_process.priors.log_normal_prior", "smac.model.gaussian_process.priors.tophat_prior", "smac.model.multi_objective_model", "smac.model.random_forest", "smac.model.random_forest.abstract_random_forest", "smac.model.random_forest.random_forest", "smac.model.random_model", "smac.multi_objective", "smac.multi_objective.abstract_multi_objective_algorithm", "smac.multi_objective.aggregation_strategy", "smac.multi_objective.parego", "smac.random_design", "smac.random_design.abstract_random_design", "smac.random_design.annealing_design", "smac.random_design.modulus_design", "smac.random_design.probability_design", "smac.runhistory", "smac.runhistory.dataclasses", "smac.runhistory.encoder", "smac.runhistory.encoder.abstract_encoder", "smac.runhistory.encoder.boing_encoder", "smac.runhistory.encoder.eips_encoder", "smac.runhistory.encoder.encoder", "smac.runhistory.encoder.inverse_scaled_encoder", "smac.runhistory.encoder.log_encoder", "smac.runhistory.encoder.log_scaled_encoder", "smac.runhistory.encoder.scaled_encoder", "smac.runhistory.encoder.sqrt_scaled_encoder", "smac.runhistory.enumerations", "smac.runhistory.errors", "smac.runhistory.runhistory", "smac.runner", "smac.runner.abstract_runner", "smac.runner.abstract_serial_runner", "smac.runner.dask_runner", "smac.runner.exceptions", "smac.runner.target_function_runner", "smac.runner.target_function_script_runner", "smac.scenario", "smac.utils", "smac.utils.configspace", "smac.utils.data_structures", "smac.utils.logging", "smac.utils.multi_objective", "smac.utils.pareto_front", "smac.utils.subspaces", "smac.utils.subspaces.boing_subspace", "smac.utils.subspaces.turbo_subspace", "Quadratic Function", "Support Vector Machine with Cross-Validation", "Ask-and-Tell", "Custom Callback", "Continue an Optimization", "User Priors over the Optimum", "Basics", "Computation times", "Multi-Layer Perceptron Using Multiple Epochs", "Stochastic Gradient Descent On Multiple Datasets", "Specify Number of Trials via a Total Budget in Hyperband", "Multi-Fidelity and Multi-Instances", "Computation times", "2D Schaffer Function with Objective Weights", "ParEGO", "Multi-Objective", "Computation times", "Call Target Function From Script", "Command-Line Interface", "Computation times", "Examples", "Computation times", "Overview Figure", "Home", "Computation times"], "titleterms": {"2d": 144, "A": 8, "On": 140, "abstract_acquisition_funct": 25, "abstract_acqusition_maxim": 33, "abstract_encod": 102, "abstract_facad": 43, "abstract_gaussian_process": 69, "abstract_initial_design": 51, "abstract_intensifi": 58, "abstract_model": 67, "abstract_multi_objective_algorithm": 91, "abstract_prior": 80, "abstract_random_design": 95, "abstract_random_forest": 87, "abstract_runn": 115, "abstract_serial_runn": 116, "acquisit": [13, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38], "across": 16, "advanc": 22, "aggregation_strategi": 92, "algorithm": 13, "algorithm_configuration_facad": 44, "an": 135, "anaconda": 1, "annealing_design": 96, "api": 5, "ask": [17, 133], "automat": 19, "base_kernel": 73, "basic": [137, 151], "blackbox_facad": 45, "boing_encod": 103, "boing_subspac": 129, "budget": 141, "call": [18, 148], "callback": [13, 39, 40, 41, 134], "class": [25, 26, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38, 40, 41, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 58, 59, 61, 62, 64, 65, 67, 69, 70, 73, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 85, 87, 88, 89, 91, 92, 93, 95, 96, 97, 98, 100, 102, 104, 105, 106, 107, 108, 109, 110, 111, 113, 115, 116, 117, 119, 120, 121], "cluster": 21, "command": [18, 149, 151], "comparison": 2, "compon": 13, "comput": [138, 143, 147, 150, 152, 155], "conda": 1, "confidence_bound": 26, "config_selector": 64, "configspac": 123, "configur": [3, 13], "contact": 154, "continu": [10, 135], "cost": 19, "criteria": 19, "cross": 132, "custom": [20, 134], "dask_runn": 117, "data_structur": 124, "dataclass": 100, "dataset": 140, "default_design": 52, "descent": 140, "design": 13, "differential_evolut": 34, "eips_encod": 104, "encod": [13, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110], "enumer": 111, "epoch": 139, "error": 112, "exampl": [4, 151], "except": [112, 118], "expected_improv": 27, "experiment": [0, 1], "f": 8, "facad": [3, 42, 43, 44, 45, 46, 47, 48, 49], "factorial_design": 53, "featur": 2, "fidel": [14, 142, 151], "figur": 153, "file": 20, "forg": 1, "from": 148, "function": [3, 13, 18, 24, 25, 26, 27, 28, 29, 30, 31, 60, 123, 124, 125, 126, 127, 131, 144, 148], "gamma_prior": 81, "gaussian_process": [68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84], "get": 3, "glossari": 7, "gpytorch_gaussian_process": 71, "gradient": 140, "hamming_kernel": 74, "helper": 35, "home": 154, "horseshoe_prior": 82, "hyperband": [59, 141], "hyperband_facad": 46, "hyperband_util": 60, "hyperparameter_optimization_facad": 47, "initi": 13, "initial_design": [50, 51, 52, 53, 54, 55, 56], "instal": [0, 1], "instanc": [16, 142, 151], "integrated_acquisition_funct": 28, "intensifi": [13, 57, 58, 59, 60, 61, 62], "interfac": [17, 18, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 149, 151], "inverse_scaled_encod": 106, "kernel": [72, 73, 74, 75, 76, 77], "latin_hypercube_design": 54, "layer": 139, "level": 20, "licens": 9, "line": [18, 149, 151], "local_and_random_search": 36, "local_search": 37, "log": [20, 125], "log_encod": 107, "log_normal_prior": 83, "log_scaled_encod": 108, "machin": 132, "main": [63, 64, 65], "matern_kernel": 75, "maxim": [13, 32, 33, 34, 35, 36, 37, 38], "mcmc_gaussian_process": 78, "metadata_callback": 41, "minim": 4, "model": [13, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89], "modul": [23, 24, 32, 39, 42, 50, 57, 63, 66, 68, 72, 79, 86, 90, 94, 99, 101, 114, 122, 128], "modulus_design": 97, "multi": [13, 14, 15, 139, 142, 146, 151], "multi_fidelity_facad": 48, "multi_object": [90, 91, 92, 93, 126], "multi_objective_model": 85, "multipl": [139, 140], "navig": 22, "number": 141, "object": [13, 15, 144, 146, 151], "optim": [12, 14, 15, 16, 18, 135], "optimum": 136, "over": 136, "overview": [2, 153], "packag": 2, "parallel": 21, "parego": [93, 145], "pareto_front": 127, "perceptron": 139, "prior": [79, 80, 81, 82, 83, 84, 136], "prior_acqusition_funct": 29, "probability_design": 98, "probability_improv": 30, "q": 8, "quadrat": 131, "random": 13, "random_design": [55, 94, 95, 96, 97, 98], "random_facad": 49, "random_forest": [86, 87, 88], "random_model": 89, "random_search": 38, "rbf_kernel": 76, "refer": [5, 6], "reproduc": 11, "requir": 1, "return": 18, "run": 21, "runhistori": [13, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113], "runner": [114, 115, 116, 117, 118, 119, 120], "scaled_encod": 109, "scenario": [3, 121], "schaffer": 144, "script": 148, "selector": 13, "smac": [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130], "smbo": 65, "sobol_design": 56, "space": 3, "specifi": 141, "sqrt_scaled_encod": 110, "start": [3, 18], "stochast": 140, "stop": 19, "subspac": [128, 129, 130], "successive_halv": 62, "support": 132, "surrog": 13, "target": [3, 18, 148], "target_function_runn": 119, "target_function_script_runn": 120, "tell": [17, 133], "termin": 19, "thompson": 31, "threshold": 19, "time": [138, 143, 147, 150, 152, 155], "tophat_prior": 84, "total": 141, "trial": 141, "turbo_subspac": 130, "us": 139, "usag": 22, "user": 136, "util": [122, 123, 124, 125, 126, 127, 128, 129, 130], "valid": 132, "vector": 132, "via": [0, 1, 141], "weight": 144, "white_kernel": 77, "window": [0, 1], "wsl": [0, 1]}})
\ No newline at end of file
diff --git a/v2.1.0/sg_execution_times.html b/v2.1.0/sg_execution_times.html
index 9b98e5c2c..75abf33c9 100644
--- a/v2.1.0/sg_execution_times.html
+++ b/v2.1.0/sg_execution_times.html
@@ -1029,7 +1029,7 @@
                 
   <section id="computation-times">
 <span id="sphx-glr-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Link to this heading">¶</a></h1>
-<p><strong>05:12.425</strong> total execution time for 12 files <strong>from all galleries</strong>:</p>
+<p><strong>05:19.262</strong> total execution time for 12 files <strong>from all galleries</strong>:</p>
 <div class="docutils container">
 <style scoped>
 <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
@@ -1051,51 +1051,51 @@
 </thead>
 <tbody>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/2_multi_fidelity/1_mlp_epochs.html#sphx-glr-examples-2-multi-fidelity-1-mlp-epochs-py"><span class="std std-ref">Multi-Layer Perceptron Using Multiple Epochs</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/1_mlp_epochs.py</span></code>)</p></td>
-<td><p>02:54.536</p></td>
+<td><p>02:58.740</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="examples/2_multi_fidelity/2_sgd_datasets.html#sphx-glr-examples-2-multi-fidelity-2-sgd-datasets-py"><span class="std std-ref">Stochastic Gradient Descent On Multiple Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/2_sgd_datasets.py</span></code>)</p></td>
-<td><p>00:34.175</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="examples/3_multi_objective/2_parego.html#sphx-glr-examples-3-multi-objective-2-parego-py"><span class="std std-ref">ParEGO</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/3_multi_objective/2_parego.py</span></code>)</p></td>
+<td><p>00:35.958</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="examples/3_multi_objective/2_parego.html#sphx-glr-examples-3-multi-objective-2-parego-py"><span class="std std-ref">ParEGO</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/3_multi_objective/2_parego.py</span></code>)</p></td>
-<td><p>00:34.155</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="examples/2_multi_fidelity/2_sgd_datasets.html#sphx-glr-examples-2-multi-fidelity-2-sgd-datasets-py"><span class="std std-ref">Stochastic Gradient Descent On Multiple Datasets</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/2_sgd_datasets.py</span></code>)</p></td>
+<td><p>00:34.329</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/6_priors.html#sphx-glr-examples-1-basics-6-priors-py"><span class="std std-ref">User Priors over the Optimum</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/6_priors.py</span></code>)</p></td>
-<td><p>00:22.196</p></td>
+<td><p>00:21.926</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/5_commandline/1_call_target_function_script.html#sphx-glr-examples-5-commandline-1-call-target-function-script-py"><span class="std std-ref">Call Target Function From Script</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/5_commandline/1_call_target_function_script.py</span></code>)</p></td>
-<td><p>00:19.417</p></td>
+<td><p>00:19.866</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/3_multi_objective/1_schaffer.html#sphx-glr-examples-3-multi-objective-1-schaffer-py"><span class="std std-ref">2D Schaffer Function with Objective Weights</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/3_multi_objective/1_schaffer.py</span></code>)</p></td>
-<td><p>00:08.572</p></td>
+<td><p>00:08.876</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/2_multi_fidelity/3_specify_HB_via_total_budget.html#sphx-glr-examples-2-multi-fidelity-3-specify-hb-via-total-budget-py"><span class="std std-ref">Specify Number of Trials via a Total Budget in Hyperband</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/2_multi_fidelity/3_specify_HB_via_total_budget.py</span></code>)</p></td>
-<td><p>00:07.958</p></td>
+<td><p>00:08.210</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/1_quadratic_function.html#sphx-glr-examples-1-basics-1-quadratic-function-py"><span class="std std-ref">Quadratic Function</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/1_quadratic_function.py</span></code>)</p></td>
-<td><p>00:04.234</p></td>
+<td><p>00:04.262</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="examples/1_basics/3_ask_and_tell.html#sphx-glr-examples-1-basics-3-ask-and-tell-py"><span class="std std-ref">Ask-and-Tell</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/3_ask_and_tell.py</span></code>)</p></td>
-<td><p>00:03.931</p></td>
+<td><p>00:03.933</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/5_continue.py</span></code>)</p></td>
-<td><p>00:01.582</p></td>
+<tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/2_svm_cv.py</span></code>)</p></td>
+<td><p>00:01.514</p></td>
 <td><p>0.0</p></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="examples/1_basics/2_svm_cv.html#sphx-glr-examples-1-basics-2-svm-cv-py"><span class="std std-ref">Support Vector Machine with Cross-Validation</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/2_svm_cv.py</span></code>)</p></td>
-<td><p>00:01.520</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="examples/1_basics/5_continue.html#sphx-glr-examples-1-basics-5-continue-py"><span class="std std-ref">Continue an Optimization</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/5_continue.py</span></code>)</p></td>
+<td><p>00:01.503</p></td>
 <td><p>0.0</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="examples/1_basics/4_callback.html#sphx-glr-examples-1-basics-4-callback-py"><span class="std std-ref">Custom Callback</span></a> (<code class="docutils literal notranslate"><span class="pre">../examples/1_basics/4_callback.py</span></code>)</p></td>
-<td><p>00:00.149</p></td>
+<td><p>00:00.145</p></td>
 <td><p>0.0</p></td>
 </tr>
 </tbody>